diff --git a/Introduction-to-Pandas--master.ipynb b/Introduction-to-Pandas--master.ipynb
index 7b7402329c6f545771f095d0477601d47acab88c..d40d3b71282802f67e55a3ce6fbf414103095743 100644
--- a/Introduction-to-Pandas--master.ipynb
+++ b/Introduction-to-Pandas--master.ipynb
@@ -11,7 +11,9 @@
    "source": [
     "# Data Analysis and Plotting in Python with Pandas\n",
     "\n",
-    "_Andreas Herten, Jülich Supercomputing Centre, Forschungszentrum Jülich, 2 June 2021_"
+    "_Andreas Herten, Jülich Supercomputing Centre, Forschungszentrum Jülich, 2 May 2022_\n",
+    "\n",
+    "<span style=\"color: var(--color-fzjorange)\">JSC-internal Special Edition</span>"
    ]
   },
   {
@@ -113,7 +115,7 @@
     }
    },
    "source": [
-    "* Please now open Jupyter Notebook of this session: https://go.fzj.de/jsc-pd21\n",
+    "* Please now open Jupyter Notebook of this session: https://go.fzj.de/jsc-pd22\n",
     "* Give thumbs up! 👍"
    ]
   },
@@ -209,7 +211,7 @@
     {
      "data": {
       "text/plain": [
-       "'1.2.4'"
+       "'1.4.2'"
       ]
      },
      "execution_count": 3,
@@ -528,7 +530,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -553,7 +555,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -618,7 +620,7 @@
        "3   Waters   57"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -642,7 +644,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -651,7 +653,7 @@
        "Index(['Name', 'Age'], dtype='object')"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -674,7 +676,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -683,7 +685,7 @@
        "RangeIndex(start=0, stop=10, step=1)"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -706,7 +708,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -801,7 +803,7 @@
        "Hall      60"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -824,7 +826,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -904,7 +906,7 @@
        "max    60.000000"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -915,7 +917,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -978,7 +980,7 @@
        "Age    41       56      56      57    39      59    43      56     38    60"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -989,7 +991,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 14,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -1004,7 +1006,7 @@
        "      dtype='object', name='Name')"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1026,7 +1028,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 15,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -1086,7 +1088,7 @@
        "Rivers   112"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1097,7 +1099,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 16,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -1156,7 +1158,7 @@
        "2    RiversRivers  112"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1167,7 +1169,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 17,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -1227,7 +1229,7 @@
        "Rivers   28.0"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1238,7 +1240,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 18,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -1298,7 +1300,7 @@
        "Rivers   3136"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1309,7 +1311,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 19,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -1380,7 +1382,7 @@
        "Rice     1521"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1395,7 +1397,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 20,
    "metadata": {
     "slideshow": {
      "slide_type": "skip"
@@ -1408,7 +1410,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 21,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -1479,7 +1481,7 @@
        "Rice     1521"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1502,7 +1504,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 22,
    "metadata": {
     "tags": []
    },
@@ -1595,7 +1597,7 @@
        "Hall      True"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1606,7 +1608,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 23,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -1677,7 +1679,7 @@
        "Rice     True"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1725,7 +1727,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 24,
    "metadata": {
     "exercise": "task",
     "slideshow": {
@@ -1744,7 +1746,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 25,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -1814,7 +1816,7 @@
        "Favourite Color      violet         gray  "
       ]
      },
-     "execution_count": 26,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1842,7 +1844,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -1927,7 +1929,7 @@
        "4  1.2 2018-02-26 -0.718282  entries  Same"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1945,7 +1947,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 27,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -2034,7 +2036,7 @@
        "1  1.2 2018-02-26  1.718282   column  Same"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2045,7 +2047,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 28,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -2107,7 +2109,7 @@
        "4  1.2 2018-02-26 -0.72  entries  Same"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2118,13 +2120,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 31,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
     }
    },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/f5/swf8tg5j5r7bqbwftt3zn6b00000gn/T/ipykernel_62318/1325867503.py:1: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError.  Select only valid columns before calling the reduction.\n",
+      "  df_demo.round(2).sum()\n"
+     ]
+    },
     {
      "data": {
       "text/plain": [
@@ -2134,7 +2144,7 @@
        "dtype: object"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2145,7 +2155,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 32,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -2169,6 +2179,14 @@
       "\\end{tabular}\n",
       "\n"
      ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/f5/swf8tg5j5r7bqbwftt3zn6b00000gn/T/ipykernel_62318/3396683912.py:1: FutureWarning: In future versions `DataFrame.to_latex` is expected to utilise the base implementation of `Styler.to_latex` for formatting and rendering. The arguments signature may therefore change. It is recommended instead to use `DataFrame.style.to_latex` which also contains additional functionality.\n",
+      "  print(df_demo.round(2).to_latex())\n"
+     ]
     }
    ],
    "source": [
@@ -2204,7 +2222,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 33,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -2287,7 +2305,7 @@
        "Walt       Malcolm David Kelley      False"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2317,7 +2335,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 34,
    "metadata": {
     "exercise": "task"
    },
@@ -2345,7 +2363,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 35,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -2569,7 +2587,7 @@
        "[5 rows x 21 columns]"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2639,7 +2657,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
     {
@@ -2706,7 +2724,7 @@
        "2  1.2 2018-02-26 -1.304068     has  Same"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2717,7 +2735,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 37,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -2736,7 +2754,7 @@
        "Name: C, dtype: float64"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2759,7 +2777,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 38,
    "metadata": {
     "tags": []
    },
@@ -2775,7 +2793,7 @@
        "Name: C, dtype: float64"
       ]
      },
-     "execution_count": 37,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2806,7 +2824,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 39,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -2877,7 +2895,7 @@
        "4  1.2 -0.718282"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 39,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2901,7 +2919,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [
     {
@@ -2959,7 +2977,7 @@
        "2  1.2 2018-02-26 -1.304068     has  Same"
       ]
      },
-     "execution_count": 39,
+     "execution_count": 40,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2970,7 +2988,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 41,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -3033,7 +3051,7 @@
        "3  1.2 2018-02-26  0.986231  entries  Same"
       ]
      },
-     "execution_count": 40,
+     "execution_count": 41,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3055,7 +3073,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [
     {
@@ -3113,7 +3131,7 @@
        "2  1.2 2018-02-26 -1.304068     has  Same"
       ]
      },
-     "execution_count": 41,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3124,7 +3142,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 43,
    "metadata": {},
    "outputs": [
     {
@@ -3182,7 +3200,7 @@
        "4  1.2 2018-02-26 -0.718282  entries  Same"
       ]
      },
-     "execution_count": 42,
+     "execution_count": 43,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3209,7 +3227,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 44,
    "metadata": {
     "tags": []
    },
@@ -3269,7 +3287,7 @@
        "2  1.2 2018-02-26 -1.304068     has  Same"
       ]
      },
-     "execution_count": 43,
+     "execution_count": 44,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3292,7 +3310,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 45,
    "metadata": {},
    "outputs": [
     {
@@ -3341,7 +3359,7 @@
        "2  1.2 -1.304068"
       ]
      },
-     "execution_count": 44,
+     "execution_count": 45,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3365,7 +3383,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 46,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -3456,7 +3474,7 @@
        "entries  1.2 2018-02-26 -0.718282  Same"
       ]
      },
-     "execution_count": 45,
+     "execution_count": 46,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3468,7 +3486,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 47,
    "metadata": {},
    "outputs": [
     {
@@ -3531,7 +3549,7 @@
        "entries  1.2 2018-02-26 -0.718282  Same"
       ]
      },
-     "execution_count": 46,
+     "execution_count": 47,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3542,7 +3560,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 48,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -3608,7 +3626,7 @@
        "entries  1.2 -0.718282"
       ]
      },
-     "execution_count": 47,
+     "execution_count": 48,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3638,7 +3656,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 49,
    "metadata": {},
    "outputs": [
     {
@@ -3696,7 +3714,7 @@
        "3  1.2 2018-02-26  0.986231  entries  Same"
       ]
      },
-     "execution_count": 48,
+     "execution_count": 49,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3707,7 +3725,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 50,
    "metadata": {},
    "outputs": [
     {
@@ -3721,7 +3739,7 @@
        "Name: C, dtype: bool"
       ]
      },
-     "execution_count": 49,
+     "execution_count": 50,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3732,7 +3750,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 51,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -3785,7 +3803,7 @@
        "4  1.2 2018-02-26 -0.718282  entries  Same"
       ]
      },
-     "execution_count": 50,
+     "execution_count": 51,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3815,7 +3833,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 52,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -3886,7 +3904,7 @@
        "2  1.2 2018-02-26 -1.304068     has  Same"
       ]
      },
-     "execution_count": 51,
+     "execution_count": 52,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3897,7 +3915,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 53,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -3973,7 +3991,7 @@
        "2  1.2 2018-02-26 -1.304068     has  Same -2.504068"
       ]
      },
-     "execution_count": 52,
+     "execution_count": 53,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3998,7 +4016,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 54,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -4078,7 +4096,7 @@
        "2  1.2 2018-02-26 -1.304068     has  Same  1.700594 -2.504068"
       ]
      },
-     "execution_count": 53,
+     "execution_count": 54,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4090,7 +4108,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 55,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -4169,7 +4187,7 @@
        "4  1.2 2018-02-26 -0.718282  entries  Same  0.515929 -1.918282"
       ]
      },
-     "execution_count": 54,
+     "execution_count": 55,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4180,13 +4198,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 63,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
     }
    },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/f5/swf8tg5j5r7bqbwftt3zn6b00000gn/T/ipykernel_62318/2974913581.py:1: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
+      "  df_demo.append(\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -4292,7 +4318,7 @@
        "5  1.3 2018-02-27 -0.777000  has it?  Same       NaN  23.000000"
       ]
      },
-     "execution_count": 55,
+     "execution_count": 63,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4301,7 +4327,7 @@
     "df_demo.append(\n",
     "    {\"A\": 1.3, \"B\": pd.Timestamp(\"2018-02-27\"), \"C\": -0.777, \"D\": \"has it?\", \"E\": \"Same\", \"F\": 23},\n",
     "    ignore_index=True\n",
-    ")"
+    ")  # TODO: Fix me"
    ]
   },
   {
@@ -4319,7 +4345,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 64,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -4372,7 +4398,7 @@
        "1  Second      1"
       ]
      },
-     "execution_count": 56,
+     "execution_count": 64,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4384,7 +4410,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 65,
    "metadata": {},
    "outputs": [
     {
@@ -4433,7 +4459,7 @@
        "1  Second      2"
       ]
      },
-     "execution_count": 57,
+     "execution_count": 65,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4456,7 +4482,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 66,
    "metadata": {},
    "outputs": [
     {
@@ -4517,7 +4543,7 @@
        "1  Second      2"
       ]
      },
-     "execution_count": 58,
+     "execution_count": 66,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4539,7 +4565,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 67,
    "metadata": {},
    "outputs": [
     {
@@ -4600,7 +4626,7 @@
        "3  Second      2"
       ]
      },
-     "execution_count": 59,
+     "execution_count": 67,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4622,7 +4648,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 68,
    "metadata": {},
    "outputs": [
     {
@@ -4677,7 +4703,7 @@
        "1  Second      1  Second      2"
       ]
      },
-     "execution_count": 60,
+     "execution_count": 68,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4699,7 +4725,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 69,
    "metadata": {},
    "outputs": [
     {
@@ -4751,7 +4777,7 @@
        "1  Second        1        2"
       ]
      },
-     "execution_count": 61,
+     "execution_count": 69,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4779,7 +4805,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 70,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -4996,7 +5022,7 @@
        "[5 rows x 22 columns]"
       ]
      },
-     "execution_count": 62,
+     "execution_count": 70,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5008,7 +5034,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 71,
    "metadata": {
     "exercise": "solution"
    },
@@ -5026,7 +5052,7 @@
        "      dtype='object')"
       ]
      },
-     "execution_count": 63,
+     "execution_count": 71,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5057,7 +5083,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 72,
    "metadata": {
     "exercise": "task",
     "slideshow": {
@@ -5072,7 +5098,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 73,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -5086,7 +5112,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 74,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -5095,7 +5121,7 @@
    "outputs": [
     {
      "data": {
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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5128,7 +5154,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 75,
    "metadata": {
     "slideshow": {
      "slide_type": "-"
@@ -5141,12 +5167,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 76,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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c8IpsxypNTJ89PpK3eT2np91tjyPk5y+rRwh48aQ1FgfAq71eHDZxRkbHJj2nfn+vuamkh/o1H3zheOtbqjkxPG3ausrhgSlWNFWcYaGZjRJyi5BS8u+/Pcrn/+8AV21YxHduu4DKJDaAGdSUO/n6O7fSPe7jK48etnSsQvHYgUGmAmFu2bYkrcc3V3m4fG0zP9vTS9SiNLZMeKXHy0wwwqVJrsra68pZWl9uSU5zIvb2eGmp8dBae+bO0poyJ2sXVfGyiZbDQg71T7GyqfKMrK2GSjetNZ45i8Isjg1pVzurmk+PlNcvriIqtUjaDA4PTrFmUXabfzJBCbkFRKOSL/zqIF977AhvO6+Nb77nvLkFHKu5oKOeWy9axt3PdrK7AJkPVvPT3b201Hi4eMWZkWMi3rx5MYOTAdPFIBuePaaJc6r571jZwAsnRi3LoV7Iqz0TbE6S37yxtYYDfROW+faHBqZY1xJf8Da21bDPAiFvrHRRW+467fb1LdoVgBGx54IvGKZ7zM9aJeSlRzgS5VM/eYW7/nCS23Z08JW3n4Mjz7UqPnXNWhZVefi7n+8riijULEamA/z+yDA3bm3LaKH4jeuasdsEjx4YsHB26fHs8VE2tFRTV+FK+rjtKxuYnA1zoM/63akT/hAnRmY4J8mC3MbWakamgwxNBSwZv9frZ93i+KUJ1i+uonN0xtQ00uPD06yI41u315XhtAtOmpA33zXqA2B5k/m1VRaihNxEAuEIH7tvNz/e1cPHr1jN379lg2UbAJJR5XHy/65dy77eSX6xty/v41vFr1/tJxKV3HRuW0bPqy13cdHyeh7dn7+t5vGYDUXYdWqcS1alvprYviJ/Pvl+PdpNHpHrXnWf+Vc1Rt52ooh8ZXMlUTkvjLkipeTY8PQZtgpo+zOW1JWbsgHKOEZHgxLykmEmEOYD39vJw/sH+Nz1G/jLq9YUtErhjee0samtmn995HBRbojJhkf2D7CyqYK1izO/VL16wyKODk1zooDZK7u6xgmGo3MbXpLRXO2ho6E8LxuDXklDyDdYtOgIcHhAO+b6BBG5kfFhVubR2EwQry+UMJNkWUM5nSO5nzQ69RPPMosSHGJRQm4CXl+QW+96gWeOjfCvb9/C7ZcuL/SUsNkEn3nzenq9/rzVyrCSCX+IF06McdWGxVk9/4r1iwBt92KheKlzDCFIe5fflvZaXumx3td/pcfLkvqypHZPlcfJsoZy9ltg9RwcmKKmzMmi6vilh1fo1sTxIXOEPNFCp8Gyhgq6RmdyXg/oHJmhsdKVlyqlSshzZGhylj/6n+fZ3zvJf7/nfN6RZjZFPtixspEr1zfz308cY0Kva16qPHl4iHBUctWGRVk9f0l9OcsbK3jmWP5S+hay+5SXNc1Vaf9jb2mvoX9ilqGpWUvn9UrPBFvaa1M+bmNrNfv7zT+xHOqfZN3iqoRXsOUuB221ZaZF5MeGkwv58sYKZoIRhqdzWw/oHJ1hWR5sFVBCnhPdYz7e8T/P0T3u4zu3XcA1m7KLFq3kE1etZSoQ5p5nOws9lZx4dP8gjZXu03biZcolqxp4/sRoQWrSRKNS20m4tDbt5xiLj690WxeVT/hD9Iz75zzwZGxsraF7zG9qUCCl5PDAFOtS2GUrmio4PmxO4a7jQzOUOe20JNiHYFghuXryPeN+2uvy0yhECXmWHBqY5OZvPovXF+IHH7ioaJsYbGit5sr1zdz1zMmS3SQUCEd48vAQV21IvIkmHS5d1YQvGClIWubJ0Rkm/KGMhHxjazU2gem7GmM5NqQtNK5Jo9HBBj01z8yiUsPTAWaCkbgZJLGsbKrk+PC0KemPWsZKRcLPkrE42TmS/YkjGpUMTs7Gzcu3AiXkWfBS5xi3fOs5hIAHPrT9tCJDxchHL1+F1xfi3hdKsyvTc8dHmQlGsrZVDLavbMAmKIi9skffTHNuBp+VcpeDNYuq2GuhT35ULwOQzqYVw4ows9zBqTQXBFc1V+ILRhiYzN1m6h73JR2vra4Mu03kFJGPTAcIRSStORbFSxcl5Bny+IFBbv32CzRWuvnJn+3IKoMi35y7tI7XrW7kzqdOlmQGy2MHBimPKW+aLTVlTra01/J0AYR8d/c4VW4HqzKsubGlvYZXeryWbcQ5MjiNx2lLywJorS3D7bCZtugIsZkdyb3kucyVodzsFSklveN+2usSC7nTrr0fueSS93r9AHnrwaqEPAN+vKuHD/1gF2sXV/Hgh7cn/TAUGx+9fBUj0wF+YkEHFCuRUvLk4WEuXdVoyu7Y7SsbeLVnAl8wvzbT7lNezllSm7E1tKW9lnFfaE4YzObo0BSrmivTmpfdJljRVDm3WGgGXaMz2G2CthQWxMpmTegNKyhbhqcDBMLRlCeuDj1zJVv6J7QrB2WtFBFSSv7jt0f55IN72b6igfv+9OKS6tIOcNHyeja1VfPdZzpLqmb5iZEZer1+LltjTp/XCzvqCesLj/liNhTh8MAUW9ozb/G1Xt8kY8aW8XgcHZxOyx83WNlUYaq10jXqo622LGVRqaZKN+UuO6fGcjuh9Yxrz08l5MsaynOyVvr0E29rrbJWioLZUIS//NEevvrYEW46t427bttmefErKxBC8P4dyzk2NM3TRwuXgpcpRheXy1abI+TnLatDCHjpZP4WPI8MThGOyqQbbhJheNeHTSriFMuEP8TA5CyrM6gFsqq5kp5xv2kWXdfoTFobZoQQLKkr59RYbpkkvbqQt9UmH7Ottoyp2TCTs9ll6PR5Zylz2qkpsz6HHJSQJ2V4KsC7//d5franj79+01q+dss5afXULFauP6eFxko3332mdJpPPH10hI6GctPK/xqV/HZ2WVeSdSH79N2Q2TTdrfI4WVJfZmqNbAPDplidIJ86HiubKpESTpiUCtg5mnzhMZYl9eX0jOeeEgjagmYyDEuk35vd4mr/hJ+WWk/edncrIU/Aqz0TvPW/nuFA/yT//Z7z+Ojlqwq65d4M3A477714GU8cHi6qRguJCIQjPHd81DRbxeCCjnpe7honHMlPPvm+vgmqPY6sc4rXLqrmkIkpfwaZZKwYGJkrZvjkXl+QCX8o7VokS+rLODXmy8ka7Bn3UVfuTHlVbQh5X5ZrE30Tsyl9fzNRQr4AKSXff76Lm7/5LFJKHvjQdt68uaXQ0zKN91y8FJfdxvefK/5UxF1d4/hDEV5nkq1icMHyemaCEQ5a5DsvZH/vBJvaarIOBNa3VHFyxNzqf5BZxorB8sYKhDBnu7zhQS+tTzMiryvHF4wwNhPMesyeFBkrBoYIZ7vI3O/105Kn1EOA0jN7LWRqNsTf/mwfP9/Tx+vXNPH1P9qavNyolOAfh5lhCPkgHICQH6JhsDvB7tK/nOAoA1c5OPUvhxusiPBDsxCYhNlJCExov1cthtqlYHfSWOnm2s2LeejlHv7fNesocxWvVfTUkREcNqF1rQnNwtB+CM5o719dB5Q3pH4PpYSpfhg7ATIKzRu5QK918lLnGJuzWIDMhFAkysGBKW7b0aF9VvpfAWcZNK0FT5KxfWMwfBjKG1i3qIpIVHJsaDoreyYRcxkrM4PaWLVLoXYZ2OLEd/5xGDqIp2EVS+rKTYnIO/WskBWVQTj5NDSu1j6rCxnvgolulldpAVX3uD/rZIOecR9rmyugZxc4XNC8AWwx/wOREPTtoclTh8MmsorIg+Eow9MBllVEoOtZqF8R/3WZiBJyneeOj/LJB/fSP+Hnr65aw0cvXzWfkhUOwMCr0LcbRo5oX6PHYWoAolluVxY2cFacLu7Gz66K03936hFEyA9hv/Y9OAOBqXnRnp3Qfo4kiFZclbD8Mrj4z3jXhRv5+Z4+fv1qPzef357d/PPA00eH2ba0msrnvgrP/af2+mJxVWqCXtcBNe3aydHm0ERwelATgLET2ntmIOy0nH8by2vfxEudY5YXODs2NE0wHOV6/y/gK1+FSEz9jpql0LJFm7/Drc17vBOGDsL0fO301y+/Bjfv5NDAlLlCPjjNX9Y/B19/2/znpqwOlm7X5mSzg7cbBl7R3kcAm5P31P0VPxu+NOfxT436OF8cZuV9H57/29Yug2WXQHm9FiCdeg68pwC4tLKVleIvOTXmy6qZsZSSfu8Md4ovwbdf0F9vPay8HGqWwPAh6HoOAhPYgY9WfIAub+ZX44OTszTLMW7b+wl4Qf87NqyGjku19/SiD2snLRN5zQu5LxjmK48c4TvPnGR5YwUPfngH57dXQc8LcOxxOPEk9O+d/6C7q7U/wrIdUNWinWkrmjTxdbjB4QGbUxP4SFA7w4cDEJ7VovagD0Iz+nefJsixt4f82j/0wseALupl+lc5uKu0qLR+hTYvT7X+vUb7cldrc5oagN6dcPCX8L23cNHqN7G14Vbue/FU0Qr58FSAg31eHm3/Ljz5W1h/A2x+h/YPHpiG8ZMwdhK8XTB6DE78Xnu/o2FNjKoWQ+0SWPEGaFihvUfCBod+BS/eyTcqD3P7yTuQUlq69rGvd4JrbS+w5dVvwJprtH/icACGDmjBQf9eOP6EdrIpq9NOSCvfCM3roWkd9O+l8okv8HlXmEP9a02b14Q/RO3UEd4e+jdYfilc8nHtxNe7E7pf1N7PaBiqW2HRRjj3VmjeCM/9Jx/o+gr3h5cQjV6aU8mErpEpvuH+FqK8AW7+Nowc1YT72OMQnNY+30suhO0fg8pFOH55B59x3MehsTdmNd7oTJC3RR9j5eQLcPnfalcgJ57Q3v+ZIWhcAxtugFVXwsv38OfH7+ZDY1dmPE6f189fOR7EE5qAm/4Hpoeg82l49ceakK+7Tgm5WUgpeXjfAP/0ywP0TczyJxc286kVnbhfuAPue0KzJYQN2rbBRR+C9guh7Xztg53vRU8pcx9z67vg6i/Ci3cifvcF7nYf5qquT3F4YHNR7k595tgIf2r/FatGfqvNe8fHzDnwijdA7TK2PPpZLgtuonN0B8sbratQd7B3jL9z3ots2Yq45fva5TzA2mtOf2Civ/Gaq8E3wi0v3Mkne94LbDBlXseGpvkzxy+IOsqxv/272gkSYNv7k89p0Ub4xlbeJ3/B4NTNOe1cXNT3OO0MwlXfhzVv0r6S/J3F6DGu+N0/safvALAq4/F6xv3caH+Gqdp1VF32Se21nfNH2p0LX2vjGhzf3M6WsUeBazMap398gjfZX2Jm1XVUn/NO7cZL/sKc/+MEvCYXOw/2T/K+77zIHfc+z7X2F3l53b383cEbcP/sA1pEsPFGuOUe+NRJ+MBjcPUXtDN1TVv+RRzMG9Pp0T5Q7/sZNaEh/tf1NR54/rg5xzaZPfsP8pfOnyDXXQ/bP2ruwbd/lNnGzfyF46fsPmltffLq47+kVYwgLv/svIjHI9nfeMdfAIKtgz81bV5dfUNcZdvF7Nq3zot4OnOqXcL4kqu4xv4SJ3Jc8Fw/+QzT9hotQk2HLZroNg4/l9V4Q/3dnC+OMrvqzWe+tjNOWBsYKl/NBcEXMu6bKrqep0b4cG9+a/IxTOQ1JeTHhqb4+Pef56v/8XXe2f2P7Kv4CH/n+2fqh1+Ere+G234FnzgIN/wHbLgRymoLPWVrWLYD8dZvstV2jOY93yi6+itSSlafuBsnYcTVXzD/H0AIXJd/kg7bIJMHHjX32DFEopJNE08w4WyG1Vdlf6CaNvrrL2R75CWGTeqZGT3+O8pFgPLzbsn4uY41V9Aixhjp2pf1+DOBMFsi+xmsO//0xcZk1C5h1LGIpVN7shozeup5bEJSvuFNaT1+sn4z60QXQ5OZLXg6R/YD4F5xScZzzJazXsijUcnTh/r4t2/+N7v/493807Gb+Lbrq1zr2Y/znHfA+34OnzgE1311fjHitcDGtzK8/K3cJn/BE8+9WOjZnMaR3mGuj/yW3tY3Qb01i5G2tdcyIypo6/mNJccH6Owf4RL2MtR2Zc4no1DHG1hj6+Xk8cOmzK1i6GWCOLAvvTDj59Zs1E5Kzq6nsh6/t+s4S23DzLZenNHzBmrPY1N4P+Fw5sGHfUR77yraNqX1+OiiTdSLaYb7OjMap2LyBF5Rk/hKxwJMEXIhxDVCiMNCiGNCiE+bccxcOX6ql1/f/00e/tLb2fDDC/nLwb/hBtcu3JveAu/5Cba/Pgo3/Lvmmdpfm0sFjW/9ElFhp/zZfy30VE6j57mHqBE+Ki6+zbpBHG66mt/IRcHnmfRZ04FncP+TlIkg7vXXpH5wCmo3Xw2A/8jvcj4WQMv0fvrcq7TF8AwRdR1MiGrKxw9lPf7UyZ0AeDoyO5EEmzbRJCYYHOzPeMzKqRMM2ZrAnd5O1rL2cwDwde/NaJx6fxdDrqUZzy8XclYwIYQd+C/gKqAHeEkI8Qsp5YFcj50Jw0N9dO55Ct/J56kdepEN4UOsFBGmRSXj7a+nese7cK+5SvOJFQCImjaOtL2NHT0P0HXiMMtWmJcVkQuVJ3/NmKilYVMOdkQa2Fe9kerB/2PXK89x/sWXm378YNdLALRsuiznY9UtO4dZXNgGs7czDGYDAdZEjnFo0VvpyPIYQ54O6n3Zl3oIDB0DoHn5xoye52leBQdhtPswbW2ZZVw1+k8y5O6gOc3H1y7fCoAcOpjROG2Rbo7Xvj6j5+SKGaHohcAxKeUJACHE/cCNgOlCvu/pn2tn8uA0IjiDfXaMKl8PTeE+mpigCYhIwSnXSg6tuI22C2+kfs0lVL5GI+50aLvmE9i/fT/dv/0flq34WqGnw2wgwLqZnZxofAP1Fttc7edeCc/A1KEnwQIhrx7dQ7e9nSUVJjQesdnpdXZQPXkk50P1dR5hhQggFqVnMcTDV72SZQOPEgiFcTsz//+yeU8wQSU1denKqkZtuxZszAwcBa5I+3kyGqE90sPe6vSvAKpqG5mmDDmZfvQ/MzFKPZMcqlmR9nPMwAyFawO6Y37vAS5a+CAhxAeBDwIsXZrdZcfM3p+xfeQholLgw8O0qGTU1cKJutdxrGEV9Wu207F5B8vLUvcfVGg0LlnDvvLzWdX7c8KhL+Nw5qdaWyKO7HqCLWIGx7r0FqRyoaJxKb22FioHzF8jkFKybPYQnXU7MKsdt7d6LStGniQaiWKzZ++KDp86yAqgpn1d9pNpWkft4E852XuK5R2Zi1bFVBeDjlYy3d7UtGQNAJHRExk9b3xkgHoR1DYcZfI8Wz1O32Dajx/p76ICcNbltwl73kJVKeWdwJ0A27Zty6rqzebbvo5f/DuesgoqbTYqgeJrd1x6RLa8m8UvfIKdzz7CttdfX9C5jB14EoAV23L3ldMar3oDi8dfIRKV2HPY3LKQvr4e2pigszkz6yAZctFG6kb/j96eTtqWZR/x+QeOAtCyIvu5VbZtgH0w0rk/KyFvCPXSX7Ul4+c5PBUMi3ocE5nVChruP0U9UFbfmtHzpl1NlM+mn6LqHe5jGVBZn19lMmOxsxdOCzra9dtMp7yyhrKKKkS8WhCKrNnw+rcTwIl310OFngrlgzvpsS+hoi63/pzpYmvZQrsY5miXuZ2Tuo++AkDtMvOEvLpd2wzU15mjazl2HB8eyuoyE7VYmttXAjAxlHnxtdnZWRZFhwnVZBYdG4w5W6n0ZyYx3iHNNKhuysxXD5Y1UxNJv37/zFgfAHXNbRmNkytmKOJLwGohxHIhhAt4J/ALE46ryBPO8hpO1V7EuonfM2xCc9tsGZ3ysyZ4gImm8/I2ZvPqbQB0HTTXXpno1nKJ21edY9oxWzs0W8Hbn9smrvLpUww7c9uhXNWkxW6B0cxPgP393diFxFOXndgFyxopD2XWGMSnC2zj4sxs3WjlYprkONNpNpiYnRgCoL45v6UvchZyKWUY+BjwCHAQeEBKuT/X4yryS82W62gXI/z2mWcLNofde3dTK2aoWrU9b2M2rjofgJmuPaYeNzJ8lCBO3I0dph2zsknLqQ8Od2Z9jGhUUh/sx1eRo4frqcYvymCqL+OnDvcZ0XF2Qi4qmqiVXqYD6fddDXu1BcuqxszGdNS04hYhBtJMd4xMDRHBhquqIaNxcsUUj0JK+Wsp5Rop5Uop5RfNOKYivzRv1epJDO35TcF6evYd0tL12tZltkkkF0TVYvyiHDl6zNTjVkydZNTdbu4GM6cHr70Bx+SprA/RN+GnkXFs1bnX2J9yNuH2p78QaDA+rNkijYuyO5m4qpupF9N0j2TQNWl6CB9lWnG7DChv0IR/bCA9C8nmG2FKVOd9Y6EymxUa9cuZLm9nnW8XL5/KXz9LAyklkb5XiGDDvmh9/gYWgunKZTQEehmaMsdWGpqapTkySLDK/E0h02WtVAf6CIaz6250sn+UWjFDeX3uHm6wYjF1kVEm/JmVcjZsjqrG7Dz6inrtJDQwkL5P7pwdYtKZeZRc26SNNTGS3gnLHRhhxmlCummGKCFXzOFeeSnbbEf40YvZR3zZcnx4mqWh40xVrsj7pi17wwo6xAAvd3lNOd7+vklaxQjuBvOFXNYupZ3huaYMmdLfq0WWtYtyn5utupXFYoyTI5nNJTShiaKozG5Bu7ZJOwGMD6Yn5FJKKoKjzLobMx+rTutONTUxmtY45aFxgu78bc03UEKumMPZsYN6McW+V19mJgP/0QyePjrCWls3zrbNeR0XoLptHe1imD2d5lRCPNLVR43wUdtifp2YsvolNAsvh7Nsxjw2qJ2kKzP0iuPhaWinGS8nhzObi5gZxG/TG6dkQUWdlto3OTaQ4pEaXl+IajmFLMs8IreX1wLgn0wt5F5fiFo5STSLcXJFCblinqXaIuPGyEF+9UrmtSxy4dmD3bSLESpazam3nQmOxpU4RJSek9nXDolloFvLKvE0ZJdel4ya5jbcIkRnb3Z/n5kRLYoVJrQeq25owSki9A0Mpf2cYDiKJzDKrCsHsavQomS/Nz0h7xn3Uy18OCtqMx9Lb8cXnE5tN/ZN+KkS/uzGyREl5Ip5GlYh3dVcWt7NAzu7Uz/eJGYCYYZO6olOJndOSYs6TXCnB08SyKKq3kImh/QaJDXm7+5zVmsCPNif3d8nOqlnmVTlvtjpqNDEeGgo/ZNK97iPRiaIlGVuc8xRoT03MpneFVTPuI8qfHiqsrA83Nou8Yjfm/Khfd5ZKvHjqazNfJwcUUKumMdmQ7Scw3bPKXZ2jXPMhE7p6fDMsRGWSN3vbFyTlzFPo1qzGZrkMPt6s7MsDCZ8IVzTuljWWJBLXKnVJpkcyTx/2+sLUh4cISocWq/KXCnTFvUmRtPPXOkcmaFWTOOoykHIPbVEsWPzj6bV9KF3dIpKMUtlTRav2WYnYK/AHpgkFEm+wDwwPkmZCFJepRY7FYWm9VyafEfx2CI8mKeo/InDQ6x3DiARUL8yL2OeRrW2eNbCGLu6xnI61P6+CRaLMe21ZLmYl5QKTcijU0P4gpmtYxwfnqGBSULuejBjd7Reb9vnHU47ZfXkyAxVwkdZNtGxgc1GyFlBuZxhMI0NbMOjWuTuqcxuzLCrhirhY2Ai+VijY9pnp7yqNqtxckEJueJ0Ws5BRIK8e7mPn7zcmzIKyRUpJb89OMS26nFETXthygw73FDRxJqyCXZ15ZZ6ubvbSxMTyPJGa+rc6yeHRrwZXzEdHZyiVswgKkzKqtCj+rLIJANp7gjuHJ2hVszgzlJUDaSriirh49SYL+VjR0d0C8aTaYkufSxPDdXM0OtN3ilofFxbELV58l+0Twm54nSatcXGm9qnGZkO8MSh9BeysmF/3yRDUwFWOMe1ruaForqNle4JdnV5c9oQtafbyzL3NLbKzMqzpk1ZHVLYaRQTHBqYyuiphwamaLBN46w0KatCj8jrxDQnh9NLQewanqQSf85tFG2eGqrwpyXkk+O5Cbm9rJZq4aN3PLmQe8f1qzl3/puZKyFXnE7DShB2Njr7aapy88BOc4tJLeS3B4cQAupDg5YsDqZNTTstYpSR6QDdY5n1aDSQUrKn20ubc3rOyzYdmw0qm2mxT3KgLzM//9DAJM0OH6LMJA/XU4NEUCemOZ5mLvnwyMjcc3PBUVFDtfDTnULIQ5Eo/qnxnMZ0VdZRjS9lRD41oY+jhFxRcBxuqF+BbfQwbzuvjScODzFkYSGt3x0a5Lz2KuzT/VBbQCGvbqMqqF197DqVnU/eNzHL8FSABrzWCTkgKhpZ5p5hf99E2s+RUnJoYIo6MW1eL0mbHTw1NNpm0orIZ0OR+XzsHIXc5qmh3j6bMiLv8/oplzM5jWkvq6XWljwinwmEic7qJ1a3slYUxUDTWhg+zC3blhCJSn7ysiVVien1+tnbM8GNKwTISGEj8qpF2INTNLijWfvke055AUlFaHQu19kSyupods6yv2+SaBpZGwCDkwG8viAVkcm5bBMzEOX1tLn9nBxJ7defGvNRRW6iOoe7imqbn67R5ELeOeqjWvhyG9NTQ7Xw0eNNPFb3uE+zjABc6fUENRMl5IozaVoHo8dZWefigo46HtzZbUkhrd+8quUfX9Ua0G4oZESuZ4Nc1hplV5Zb9fd0j1PnCGCLBKzJWDEoq6NWTOMLRjiZ5lb9gwOTlBHALkPmpB7OzaWeZqePE2lYKyeGp2NEtTa3cd3VVOJLaa2cGp2heu7kkWWk7K6iXProTHLV0T3mp1L45x6fb5SQK86kaZ0WIY8d5x3blnBiZIadOWZzxOPXr/azoaWaFqkvRtUUcLFTt0IubIpweGCSqTTrT8fy8ikvO5rDpx3PEsrqKI9oC537etOzVw71T1GHHjWbZa0AlNVSb9MENVUhr0MDWtYMkHtE7qmmLDrD6EyAySR/q85RH/V2v5YO6spSYF3l2JCMTk4yG4q/Yax7LCYiV0KuKAqatAa3DB/ius0tVLjs3P+iuTnl/RN+Xj7l5c2bF8OEfmwrNtCkiy68m2sDRCUZ2yu+YJhXerxsX6xfuVhsrdgDXlwOwf40FzwPDUyypjo893zTcFdRwSxRSUq/+vDAFMsr9DmYYK3YZRg3oaRpmF2jM7R6wgh3Vfa5806tJkyZTOzJnxrzUe/Q15KUtaIoChpXAwKGD1PhdvDWc9v4v719DE8FTBvCqOVy7eYW8J7SrI1C5JAb6NbKmgofLoeNPxxNv70XwMtdXkIRydYGPWIrt7BwkqcWEQ2xdZEr7Yj8YP8kG+sMITcxIndX4YlqUfbRweTpkIcHplheZcyhNsdxNZukCn/ScbtGfTS6wxnXIT8NXcjLCXAigb3SM+5jsSekRf0FaEWphFxxJs4yqOuAYa2I1O2XLicYifL95zpNG+LHu3o4p72GlU2VWkReSH8c5iJo1+woF3bU89TRzCohPn9iFLtNsKpKv8w3M+pdiH7s85s1ayXVgud0IMzRoWk21OknmVxFNBZXFY7wDHZb8quD2VCEztEZ2stCIGy5R616RN/o9HN4IH5EHo1KusZ81DtDc2KcFXqVxjIRSFg++NSYj2ZXENz5j8ZBCbkiEfUrYEwr/rSyqZIr1zfz/ee78AdzLyq1v0/bzPL283Urxdtd2IwVAIdLW4CbHuJ1qxs5Mjidckt2LM+fGGVzWw2ekB4hm+lDL0QX8nObJJOzYY4NJ88Y2dvtRUpYVa172LnaGrG4qxDBadY2lfFqkquDo4PTRCUsdgc1DzmHfqHGuADr6gVHh+JH5L1eP8FwlBpHMOuSuQA4tWi+tVzGTbOUUtI95qfWGcnthJEDSsgV8albBt759lYfeN0Kxn0hfvJy7huEfryrB5fdxlvOaYVoFCZ6Crur06ByEUwP8rrVWnSeblTuC4bZ2+Pl4hUN4BsDm9Nan1QX8i0NWiT+4snkee+79Y5PSyv0k7CZec66oJ7fotk8ibKbDg1o0Xq9M2TOe6O/hrU1kiMJrBVD4KvtoTkxzgr9JLC8mrhNNEZngvhDEX2csuzHyQEl5Ir41C4D/zjomxwuWl7P5rYa7vrDybQqziViNhTh53v6uGJ9M7XlLpgZhkig8BE5aOVRfaOsb6misdLNU0fSE/KdneOEIpKLVtSDf0yLxnONOJOhC/kih4+mKjc7O5ML+cunvKxqrqRM97JNPcnoQr6l2cHoTDBhzZXDA1O4HTYqbYHc/GoD/Rgd1VqOfLx2c4blUk6OY+ongWXVxE33NBZbK5WQK4oOvUa3EZULIfjw61dycmSG/9ubeed0g1/s6WNsJsh7t+vHn9abA5jQDDhnyuvBN4YQgsvXNvH7w8MJ081i+e3BQTxOGxcv1yNyMxcT46ELuZj1cmFHPS91Js6wkVKy+9Q45y2thcCU+YtxupBvaNBOXK/2xLdXDg9OsXpRJbbgjKlCvkQ/J8Vb8Dw6OEVLjQdH2JebtaI/t71CMjwVOCM19agh5LYwOAqzYK+EXBGfWl1ox+ftlWs3LWbd4iq+/vgRwllURZRS8p1nTrJucRXbV+hZHdN6US4rN9CkS5keUQPXbWlhKhDm6RTZK1JKHj0wyGWrmyhz2cHvtdYfh3mP2+/lgo46er3+hHVAOkd9jPtCnLu0DgKT2W+KSYRucaysjmIT8fPapZTs651gQ0s1BGfMuSLQI9/Wcu1zeGTwzHWCQwNTrF5UBaGZ3KwV3fdu0cfqHDk9BfHo4BRVbgdOOas8ckWRUXt6RA5gswn+6uq1dI76+PGuzL3yZ4+PcmhgitsvXY4wrIdpvSmBlRto0qW8HnyjICWXrGqkpszJr15JfvWxr3eS/olZrt6ot07zj1mbsQJaNCpsEJxmW4d20ngpgU9u2C7nLa3TbDKzN6vox/NEZljVXBl3wfPkyAzjvhDnL6uD4LQ5EbkumLXOEBUu+5wHbzAbinBkcIpNrdUQzDUi1+bbUqYJ+cEFYx0ZnGLVokpEyK+sFUWRUV6vRU4xETnAleubOW9pLV959HBcXzIRUkq+9tgRmqvc3HBO6/wdRkReUQxC3gDRMASmcNptXLNxMY8fHEpqrzx6YACbgCvW6fP35UHIhdAEdHaS9S3V1JY7Ey7MPn10hMZKN6ubKzVrxXQh16PrwBRbl9Ty8invGWsoxuaq85bWmReR6+JqC/nY3F7Dnm7vaXcf6J8kHJWcs6RWGzOXSFl/br0rTKXbcdpVh5SSwwNTrF1UBaFZJeSKIkMILSr3di24WfCPN25idCbIvz12JO3DPXZgkF1d49xx5Ro8Tvv8HdNDmm+bS8RkFoa3HWOvTAfC/PZg/JrsUkp+9Wo/F3TUU1fhAinnFzutxl0NgSnsNsEb1jTx5OHhMwQ0EpU8fXSYy9Y0YrMJXcjNtlb0E0Nwmh0rG5nwhzjYf3rE+lLnGNUeh7ZnwCyP3O4CYYeQn/OX1XGgb/K01Ni9urBvba+GsD+3k4ezDBDYQj42tFafdtXRpVtX5yyphZBPCbmiCKlbdkZEDrCprYb3XLSUe57r5KUUGROgXeZ++eFDrGis4JZtC7bhTw8Wh60C8wLs00qtXrKqkbbaMu594cz3AOClznFODM9ws5EPH56FSDD3glDp4K7SPG/givWLGJsJnpG9sqtrnHFfiDes1d/fgHXWCoEptq/U1j2eOTa/riCl5KkjI1y6Wj+ZBKfNiciF0CLlkI/zl9URjkr29njn7t7ZOU5LjYdFHn0tJ5dAIWasLW01HOibnKsrs7tbu9o4d2kthPzKI1cUIUZEHic3+P9ds44l9eV8/Ie78fqCSQ/zr48c5vjwDH/3lg047As+ctNDxbHQCfPb6n3aP6fdJnjPxUt59vho3EW8u589SZXbwfVb9Iwbox51Plp96RE5wBvXNVPusvPT3aeXG/7Znl7KnPZ528cKa8U1L+SLqj2sb6nm0QPzzZgPDUwxMDnLG9Y0a3sGzIrIQRPn4AznL6vHYRM8eVizl8KRKE8fHeZ1qxu1KBlyF1h9rAuW1xMIR3lZz83ffcpLhcvO6qZKLfIvxawVIcQ7hBD7hRBRIcQ2syalKBLqlmn/CDNnZm5UeZz8x7vOZXg6wIe+vythI+DfHRrkrj+c5H3bl3H52jiRdzFF5GWnR+QAt168jGqPg3995PBpm10O9k/y61cH+OMdHZS79N6curDmpbFATERe4XZw3eYWfvlKPxM+bd1iajbEL/f2cfXGRVS4Y+Zn5q5O0PqSOjxzr/36LS3s6hqnZ1wT0J/v6dPsn3VNmtAhzRNyPUquKXNy0Yp6HjugpbLu7vYyORvm9WuatSsAyH1MfawdKxtw2AS/PzI812/2ohUNWnlgGS1Za2Uf8DbgKRPmoig24mSuxLKlvZavvOMcXuoc4/3ffYmxmdMj8ycODfHRe3ezoaWaz7x5ffwxiioiP90jB6j2OPmLK1bz+yPDPKQ32AiGo3z6oVepK3fyJ5cun39+QI/a8ybk87nT779kOdOBMP/z1HEAvvtMJ5Oz4fn5RSOaqFlRYlUXOYAbzmnFJuA7f+jEH4zw4M5urlzfTHOVR4vGwbx6JK4KLSMFeNPGxRwfnmFX1xg/fOEU5S47r1vTOHd/zkLuqoDgDFUeJ9s66vj1q/28fMpLr9fPmze3aLYKFMxayanNt5TyIDCfSqY4u6jWs0smE6fg3bi1DYC/fvAVrvjqk9yybQktNR5eODnGb/YNsKGlmu/dfuHpC5wGoVlN/IolIvfUAkLb0RrD+y9ZzqMHBvn0Q69wZHCKvT1e9nZ7+c93n6stchrk1Vo5Xcg3tFbztnPb+NbvjzMTCHPvC6d48+bFbGmv1R5g5dVCjKAuqS/n7ee38/3nO3nm2AhjviAfeN0K7XFz0bFJQu4smzuB3HxeO994/Ci3feclpgJh3n9JB9UeZ4y1Yk5EDnDbjuV8+Ae7uPmbz1LpdnDVhkUQ0q9aC1TBMychzwQhxAeBDwIsXVoEdTUUqTGEfKo/6cNu3NrGmkVVfOWRw9z1h5OEo5K6cicfu3wVH718lbZRJh4zxmagIhFym20urS8Wu03w7T/exicf2Mv/PHWCao+Df7l5C9dvaT39+XNimYfGAnHm+YWbNjEyE+R7z3Vx8Yp6/vnmLfN3mmUxxMNZrm260fn0tes5PjzDqz0TfPLqtVyg57rPReQmWyug2UtfvGkzf/3jvZyzpJY/f+PqBWPmGCk7y7TAA7h6wyLeck4rD+/r50tv20xNmRN8JnnxWZJSyIUQjwOL49z1WSnlz9MdSEp5J3AnwLZt28zvG6Ywn/JGrQBUkojcYH1LNXfddgGzoQhTs2EaKlxalkIyimlXp4G7GmbPXNis9ji5833bmAmEcdptuBxxXMlAHpvvemo0zzkSArsTgHKXg3tuv5CZQHjeFzcw29aIxVU+b2EA9RUufvJnOwhFojhjF7fNFnJXhZa3r3PNpsW8YW0TLrtt/rNn1mKnwzO3dmKzCf7jXecSiW7FbowTnp1/XAFIKeRSyivzMRFFEWKzQdXilBF5LB6nPb6NEo9i2tVp4KmZF+Q4nCGQseTbWgHtKmBB3nrcOZpta8TirJgXzNibF2YomW6tnH4lAJz52TMENtdFSIcbwqc3VrHHBioF9shV+qEiOVUtaUXkWTEn5EUUkXviR+RpYVgr2faGzIRYIU8HIxq2Qmj01LyUzImdSZkdzrL5YybCEF+HO7exHB496yYBc5F/CWatCCFuEkL0ANuBXwkhHjFnWoqiobolo4g8I+a251vY3zJTPDU5CPmkFp3a87D0NCfk6fXsNC17Ix7pCCrMecw4TBK7mEXWhJhleTg8Z0TkpxEyKfLPkpyEXEr5Uyllu5TSLaVcJKV8k1kTUxQJVa0wNWDNsacHtU04usdbFLir0xfHhcxO5MdWgXlBTicShoJYK2dgRLRmZXbEsVbOHNOsiNw9f1KIRylH5IrXANUtmgjMZiluyZgZsbZJcTbkFJFbsHMyEc5MhdzkhcZY0rVW5kTVJCF3lWtFzsJJdhabFZE7y5JH5AVe7FRCrkhOVXopiFnhH7e+CUOmeKq1k1aClmVJCUzmJ2MF5gU5nUgYzEvDi0dMGmBSDPvFLLEzLJpkkbIhvnYTIvJk9pESckVRY3TusWLB0++1vuRrprirQUbSj3RjmbWgcUMi5qyVDIU8140xieYSntV2jybDbLEz7JJUkbLdlXtXJIdH+1xE4peimLsqyNXCyRIl5IrkVOlCbkVEPustPiE3apFk45Pn1VrRI+tUHrFBaEYTNIcr9WOznksaC482h3mLwcYJIVVEbsaJY+6kkWCsiBH5W/D+poESckVy0timnzX+8SIUcj2izsYnz6u1ootnJhG5Ff54JnMJzZqXsQIxQp4iIjcjSp6zcRKMZdaiapYoIVckx1mm1SAxOyIPB7VF1KITcj0iz2Zxd3bS/OqCichmsdMKWwXSvzowS1QNUkXJkMeIXLdWVESuKFqqW2HSZCGf9Wrfy2rNPW6uuA0hzzAij0Y0IcuXtWJ3aKKRrrViVq/MeDjTjMjDJrdCy2tEnsLGCQf0rkWFKSCohFyRmqrFMG1yLrlRYbDoInLdGsnUI89nnRUDZ3mRWCtpZtCETG68UGwRea6ZMTmghFyRmoommI7f3DdrilbIs4zI81lnxcCV5kYc0DvJWx2Rp7E5x1QhT2ex06SI3Jki1TEcsGYhOU2UkCtSU9EEM8PZ5VYnoliF3J3lYmc+S9ga6M0O0sJSa0UXuZR1T/zm1utOK/3Q7Ig8wViRQMH8cVBCrkiHymbtn9DY5m0GxSrkzjKtdG+pWCuZbAiyqjJfqmjVIDSb/4g85DfXI090sgoHlZAripwKvcysUeTKDIpVyIXIrgJioayVdD3ykN+aXZ2QnqAa91vikRdJRF6g1ENQQq5Ih0q9OuGMiT65fxyELb8RbLp4ajJPP5yzVvKUfgjpFY0yCPmsi8hTRasG4VmTrZU8euSpxoqE1GKnosixKiL31Oa+ddoKEnQJSspc4+V8euQZZK2E/NZV5jPEOVlkDCUekad4jWqxU1H0GB18ZkwW8mKzVQw8WZSyLYS1km752GhEu/S3LCI3PPIUEXkhPPK8ReQq/VBR7JQ3AsLcFMSiFvIsStkGprQ6IvmsfucqT28B2qx2Z4kwhDKUyiO3Ko88nx65Sj9UlCp2h9YX8rUSkbuz8MiDM1rThnzu7Et3sXOufKxFQi6E3kEnlZAHzPXIbXYtw6goIvKAisgVJUBFs/mLncUq5CkaMMfFEPJ84qzQBCRV+dh8dK9JJeRS6qmAJs8hWQs2KfVsEhM98kRXHeGgisgVJUBF42vIWqnWLItEtafjYeWGm0S40txRaXbT43ik6tsZCQLS/BS9ZC3YzKxIaLNp1lkk2YYgFZErip3KZvOslWhE86CLVciNyDrd1D7QI3KLFhMTkW4d8Dkht3B+qSJyq3z6ZBG52Y0s7O7EbeXCQZVHrigBKprNi8iNhcSiFXI9sg5ksJM15Mu/tZJuA+Z8ROSphDxksqjOjZuniNw4TtKIXFkrimKnsgmCU6k3faRDse7qNDBywTNp91YIayXtiDwPHrnTkzxrxaqelslOIFa0lksY/auIXFEKmLkpqNiFfC7SnUr/OVaWiU1E2p158hGRl6VprVgRkafq2mOWteKabyCxkEgA7E5zxskCJeSK9JjbFGSCvVL0Qq5bJJlYK4UQcqPjTzqdecBaj9yZyloxUiALEZGbaK3EO2lIqTeWUBG5otipaNS+vxaE3K0LeUbWSgHSD+euHIrAWnGkslZMjo7nxs1nRO6OH5FHw1iSkZMBSsgV6VGuC7lvLPdjFbuQG4KcbtleKbXHWhnxxiPjxU6rs1aSrJ+ELbJ38hqRu+KfNArcrxOUkCvSpbxB++4bzf1YhpDnq1FxpmQq5OFZkNECLnamEnI9IreyfICzLM2I3Io88gJH5Fa9tgzISciFEP8qhDgkhHhFCPFTIUStSfNSFBuuCu2D7BvJ/Vj+cW0bvN2R+7GsINP0Q8PayLu1kuFip5VCniwN8LQ5qIjcCnKNyB8DNkkptwBHgL/JfUqKokQILSo3KyIvK9JoHGIi8gzaqEEBFzvTaXpcZm3J4KLMWrFgQ1C8PPJSj8illI9KKY19zM8D7blPSVG0lDeY55EXqz8OmuA5K9K3VgzBz7eQ2x1aFJiOR27lQifoeeTJPPJC5JGbvSHIFX9n51xEXqJCvoDbgd8kulMI8UEhxE4hxM7hYZM7sivyQ4WZEXkRCzloohxIM498TsjzbK1Aen07Q37rF2IdZSAjievTWLqzM59b9OOcNOZOGEVsrQghHhdC7IvzdWPMYz4LhIF7Ex1HSnmnlHKblHJbU1OTObNX5JfyBpgxySMvdiF3V2ZhreQ5awXSK2Ub8plvaSxkrl53oubEFueRSxlnTCu26MeLyPVxChiRp1xtklJemex+IcRtwPXAFVLGezcVZw2meeTe4hdyVwlYK8aY6WwIstxa0Y8fmo3f7s7KPHKk1jNzYURsekSeYLHTsFuKOSJPhhDiGuBTwA1SyjSbBypKlvIGmPVmVt51IVKWRkTuqsogIi+wtZJWRG61tZKi8ULIr0WsZi+4Jhs3bHKkXMQRea7v6n8CVcBjQog9QohvmTAnRbFi5JIbeeDZEJjSvNRiF3J3ZfoeeajQEXk6HnmeIvKkrdAssHeStXsLz2pRtFknj0R+/FxEXsTWSjKklKvMmoiiBIjdFFSZ5TpHse/qNCgVa8VZpllVyQj55v92VjHXtzOJR26FT58qIjfz5GGkH0p5eku/uYhcFc1SlAJzQp7DgmfJCHkmi5364/K9RR9Sd+YBPY/c6sXOFBF5aNaiiNwQ8gQRuZlRsuGBR0ILxil9a0XxWsKMbfqlJORp7+yc1jfc2K2dUzzSSj+ctf4k40zhkYetEvIk3e2tiMjhzE1BkRJf7FS8xngtCbm7UhPodBKxClHC1sBZll5jCas9ckdM1ko8wrMWWyv5iMiNk8aCBc+zbEOQ4mzntSTkrkpAphZJKLCQl6dnrVgu5CnyyK2yd/IakRvWyoKTRhEsdiohV6SPwwXu6ty26c9VPqw1ZUqWkW6JWOMxhUg9hNQRuZT6QqPV1orhkSepRGipRx5PyK2KyBdaK4ZHrqwVRalQXp/b7k7/uCYqVu80zBVjU0s6KYiFtlai4TMX4AysKla1EENQk2atWHBVkDT90KqIfIG1UupFsxSvQXLd3VkKuzohs5rkhbZWIHFUno+mEpB6Q1A4YI3QFUVEXvplbBWvNXIW8hLY1QlZWCsFjMghcSScjzZvMB/xJ5yH3/xa5JBGRG7imHNZK3Eicrvr9NzyPKOEXJEZ5Y25e+SlIORz1ko6Efm0isgdqTxyq7NWEkXkJkbJxrEWjhUJFjRjBZSQKzKlvN6EiLzWtOlYxlxEXuzWSqqI3KJemQux2fSiUok8covzyBO1YLMij3zhySocKGgOOSghV2RKeYNWWyRVylsiSiUiLzmPPIWQW72z0xgjUR655Ts744wbCZjrWzsSLHZGAioiV5QYueSSl0rlQ9A2BEFqjzwa0aLQQqYfQhJrxfDI81A+IFG3nmhUE7tCFM3KS0QeVBG5osTIRchDfu0fuhSE3BDmVB65IZSvdWsFNA88UWRs3G82NjvYnAk88qDJWSv6/ONG5ErIFaVERaP2PRshL5VdnaBVsrO7IZgij7yQlQ8hjcXOfEbkCQp4zdk7Fp1M4lk6UlpXNCteRK6sFUVJYUTkM2e5kINeyjaFtTJX+bBII/J8bQgCvV53sp6WFomdI053+2gYkOaOmbBollrsVJQauVgrpSbk7jQqIM716yzWiDxP6YegnVTiCrnF9k48b9743cxIeS4iX2ithFRErigxPLUgbK8NIXdVpc5aKbi1UiQbgiBx1opxm1WZM/E691jRIzRRRK7SDxUlh82mCXE2zSVKTsjT6BJUyH6dEFM+NlX6YT4WO8vi55Gb3QR5IfEsnTkhNzP9MFEZW5V+qChFyhuy291ZakJeCtaK3aFlTCSzVhwe85sex8Phjh+RW+3Tx43ILTh52Owg7PHL2KqIXFFyZFtvxT+uiU4hWqJlQ1qLnQVOP4Tk7d7y0ebNwJEgIrd6U1I8jzxiUY3weCcNFZErSpLyhvnoOhOMzUAFLC6UEaXgkUPydm8hX/5OnE5P4uJVkGeP3ILFTtACkTOKZpmcr54FSsgVmZNtvZVS2dVpYLR7S0ahrRVIHZHnY6ET9DzyYslayXdErqwVRalhWCvp9LOMpdSE3FWRhkc+o2Xx5Mu+iEeydm+hPHQHmpuHJ8FiZx7yyBcuQM555GZH5PGifxWRK0qR8gbt8jKdglKx+L3F3+ItFlclRENnikQsRpu3QtpFyayVsD9/3ZgcZdrnIho5/fZ87OxMmLVi8mt3uOJvCFIRuaLkKKvXvmdqr5RcRJ5GBcRC1iI3KBprJUEj5EJkrVjVR9O+IPqX0rruRxmghFyROdnu7pz1lpaQGxUQk/XtDPmKQMiLZbHTyGlPIORW2U/2ZHnkFkfkRikAFZErSo45Ic8glzysWzGlJOSuNErZBmcKn05ZNBG5URt8wVxCs4CwTuyS7uw0e7FzQWZO2KLIP0NyEnIhxD8JIV4RQuwRQjwqhGg1a2KKIqbcsFYyEPJZr/a9FLoDGaRlrcwUblenQarFznzs6oQkEbmey27VOkKyWiumL3YuSD+0Kl89Q3KNyP9VSrlFSrkV+CXwudynpCh6srFWSm1XJ6RnrRSNR55kZ2ehI/JwwNoFV4cHZAQi4dPHBOvTDw0hL+WIXEo5GfNrBZBhPpqiJPHUaFuVz3YhT8daCRSLkBeBtWKMs9DmsPqqIN4i69xip8URudWplWniyPUAQogvAu8DJoDLkzzug8AHAZYuXZrrsIpCIkTmm4JKUcjTjcjdxWCt+LQMilj7Qsr8LnYaEfnCk4rVWR1zVwKB+b9F3iPyIrdWhBCPCyH2xfm6EUBK+Vkp5RLgXuBjiY4jpbxTSrlNSrmtqanJvFegKAyZ1lspRSF3VWnfU3rkVfmZTyLmIuF4mRsyf3nkCedh8VWBIdaRBYuQNodW6MpM7O4EEXlhrZWUEbmU8so0j3Uv8Gvg73OakaI0yLQCYikKeaqIXMoi8cj1iDvoO10w57bG5ysi1wV1YUQeMrnlWqJxY08gYauaPbsWROQWWTgZkmvWyuqYX28EDuU2HUXJUF4P/gyFXNjAXW3dnMzG4dY80UQRecgHMloE1oqRLbJgwTOfjZdh3gePl0GSF498gcBacfKwL2grN1fTpcgj8hT8sxBiLRAFuoAP5z4lRUlQ3gDdL6b/eP+4tj0/H3WxzcRVmTgiN+qwFDz9MEFziXy2eYN5C+cMj3wW3BbaT3MeeWxEPmtNlOxwnb6zs0gi8pyEXEp5s1kTUZQYsYWz0skPLrXt+QbJmksYkbqVIpUOifp2Gr/nsx45xI/IKyxcF4sXkVu1wGpE5Mbn3qoqixlSYuGRomgoq9e2JwcmUz8WSlfIk9UkL4YStlD8EXlo1tqTSdyI3CIhd7g1Oy2q56xbVdMlQ5SQK7Ij001BpSrk7qoSsFYSReRF5JHnI2slLxG56/SxiiSPXAm5IjsyrbdSskKexCMvGmslVUSeJyG32TShi7vYmY888gUbgizxyI1Ux+Dp3+1O88fKACXkiux4rUTkriRdggyBL5qIfKGQ+06/Px84PGfWWglZnLViL4KIvJTTDxWvYTIpnBUJw+xEaQq5uyrJYqe+db/o0w/z2L3IEadLUNifpzzyhUJuRR65fkzDGz9LimYpXqtkEpEbm4GM55QSyTzyol/sLEBE7lwQkUfC2sKgpR55nhc7YT5b5WwomqV4DeOu0rZApyXketRuRPGlhGGtxOtPOrfYWWiPPMFi51xnnjx55KBZKLERudVNJSBBRG6RL28IdkQtdirOBoRIv96K8ZiSjMgrARm/AmJwShMoe86153LD4QZE4sXOfNUjhzMjcqs69cQSd7EzaO1ip4rIFWcNGQt5CUbk7iSFswLThV/oBO2kGq/dW8gHNmd+TzRnROR58OntTkAULiK3uwrbfBsl5IpcSLdwVilH5IZtEs8nD84U3h83iFeTPOTPfxu6hRG58bOVVwVCnNklKBy0aLFzgY1jVeSfIUrIFdmTbk1yQ+zLSjEiT1IBMThd+Bxyg3jt3vLZVMIgoUdusdgtrBMenrWmkJUh2oalEg4UvGAWKCFX5EJFE8wMp36cb1QTGleBmxRnQ7K+nYGp4rBWIH67t4IIuXuBR56nBVeHe34sKfXqhxaVsYWYiNyijUcZooRckT0VTVpGSiSU/HG+sdKMxmE+4o6XS14M3YEM4lorvvwLubPs9Mh4bsE1jxG5lQuQZ0TkQRWRK0oco6LdzEjyx/lGS3OhE2KEPJFHXixCHm+xsxAR+YINQXNZK1ZH5J6YBUgLUx5VRK4466hs1r7PDCV/nG+0NBc6IcZaiSPkxZK1AkW02Fm2wFrJ0+7S2IjcytKyc+UA9NcYms3vztkEKCFXZE+FIeQpfHL/WOkK+dxiZwlaK1b3yozHwog8ZGF0fMa4+lhWLrAuLJoVtrhEb5ooIVdkT0Wj9n06hZCXsrXiLNda1C20Vub6dRaLkCewVvItMs4ybUt+RK/Xna8yAQ7PmR65Fa/9jKJZSsgVpU461kokpBXMKtWIXIj4zSWKpV+nQcLFzjxbK3O7LP3zc4D8Zq0Y361Y7IwXkef7qicOSsgV2eOq1BaxppMIeSkXzDKI1+7N2LJfLBG5qyKBR57naNEQcsNSMYTc6o1TdvfpUXLsXMzE5tCu0IyxQhbXWk8TJeSK7BECKlPkkvtKuGCWgavyzMXOYqlFbhAvj7wQWTXOBRF50AfCbn0tktMicgs72wsx37cT9BK9hY/IC1ztZ55QKERPTw+zs7OpH1xkeDwe2tvbcToL2yWkIFQ0pxByfednqeaRQ/xStnPdgYpIyKOh+bzmaEQT9nwLuSFqsRG5s9z6WiSxHrnVFRcdrvmTRThQFFkrRSPkPT09VFVV0dHRgShwAZpMkFIyOjpKT08Py5cvL/R08k9FE0z0JL6/lOusGMSzVoqlX6eBK6a4l6O+cE0v5iLyGCHPx47euBuCLLI8YiNyqxtLp0nRWCuzs7M0NDSUlIgDCCFoaGgoySsJU6hsSr7YeVYIebKIvEhqrSysCRMs0IlmYQPmYJ52l8aNyC0Scoc7JiIvQGZQHIpGyIGSE3GDUp23KVQ0azs7o9H495dyUwkDT42WeRPLnEdeJNUPF9aEKdQVgxGRh2KyVpx5eI/ieuRWReQuLSKPRrXoX2WtKEqeymaQkXnBXsj0sHbZXwQf9qzx1MKs9/TbDGH31OZ5MglYuHGpUB7+wog8X/VejC36UkJIt5WsGtewcfJV2TENlJArcsPYFJRowXN6cD7fvFTx1GqCZER6ECPkNQWZ0hnMeeQFtlYWRuTBfHnkMRt1ghanPNpdWiQ+J+SFD1KUkCtyw9imnyiXfHoIKhflbz5WUFarfY+1V2a92j90sVxpLKzSOGet5Nn6MTYgGYut+dqUFNvubS4it+i1F2FEbkrWihDir4CvAE1SyhSl8FLzD/+3nwN9k7lPLIYNrdX8/Vs2Jrz/c5/7HPX19dxxxx0AfPazn6W5uZmPf/zjps7jrGNud2eSiHxR4ve9JDDsk1mvtrgL4PdqtxfL+sgZi51G1kqeF2MXtsbLt5CH/NprtzmsKy9rROTGVUcRnMxzjsiFEEuAq4FTuU+ncNx+++3cc889AESjUe6//35uvfXWAs+qBKharH2f6o9//9kQkRv2id87f9vsxHykXgwsXOwMFmjDkmvBCSVfFRiNcUM+3c6x8ErE4dFeVz4aS6eJGRH5vwGfAn5uwrEAkkbOVtHR0UFDQwO7d+9mcHCQc889l4aGEk6Zyxfuau2faLLvzPtCfghMlL5HPmeteOdvm/UWjz8OZ1orcyUE8mytONxaNByMmUc+PHLjdQamNGvFykwZVwV4u+Z3r5a6kAshbgR6pZR7z4YUvA984APcfffdDAwMcPvttxd6OqWBEFDdCpO9Z95n+OZG1F6qzFkrMR653zvfWKMYsDu1jSpGJF6o9EMh9Lz7WGslD9aDYS0FZ6xviu2q1MYwdq+Wws5OIcTjQLz/xM8Cn0GzVVIihPgg8EGApUuXZjDF/HHTTTfxuc99jlAoxH333Vfo6ZQOVS3xI/LpQe37WWOtjM/fNuuFxtUFmU5CYnegBqe1qNRWgHwGo1pkJKznWefhqiB2Z6vVmTKuCm2cIspaSSnkUsor490uhNgMLAeMaLwdeFkIcaGUciDOce4E7gTYtm2bzGXSVuFyubj88supra3FbrcXejqlQ3UbnHzqzNsNcS91IY9rrUwUl7UCp+9ADU4XbrOSu1K3OIw0wHxbKxZvQnJVaBH52ZC1IqV8FZgzP4UQncA2M7JWCkU0GuX555/nwQcfLPRUSovqVm2xMxoBW8wJ0LBbatoLMy+zcLi1qMuwVqJRXchrCzqtM4itmx4oYPciV6U2j3zVIocF1so0lDdaO1Y0PP95OBuyVs4WDhw4wKpVq7jiiitYvbrILpmLneoWbXenYaUYTPRokVFZXWHmZSbl9fMleYNTWlOJYspagflIGCAwqS1EF3IexlzyMQ8jIs+LtaKfNIym46W+2BmLlLLDrGMVgg0bNnDixIlCT6M0qV2mffd2a9G5wUQ31LQVT651LlQ0zi/eGl55sZ2gPDXzV0GFbK/nqoSJ3vl0zXxcubhiIvJ8WCsAvuIRchWRK3KnrkP7Pt55+u0TvaVvqxhUNM9XeTQEvdi8//IG8OknGd9Y4WrAu3WLJ58nPCNrJzBl/fqAcewp/Qq0CGrSKyFX5E7NEkDA+MnTb5/o0RZCzwYqm+ebTM9l4xRZfnx5vRYlSqkVMStkRB6Ynl8czpcF5dbTAvNlrUz2gs2Z/76ocVBCrsgdp0ezVGIj8tCsFsHWLCnYtEylQm9pJ+W8kFcUm5A3apkUgcnCNrx2V2nrCPm0VkCLlGcntCqI+bBWJrq1q40isA6VkCvMoa7jdCEf09cbGlYWYjbmU9mstVLzj+uRuZiv/FgsGMI9ekz7XjBrpVJbDDbKNuQrIndVzZ9krd4QBNoVZ5EseCshT8KePXvYvn07GzduZMuWLfzoRz8q9JSKl7rlMHp8/veRI9r3Yts0ky0VMcXBpgc10bQXWY9W48QyclT7XkhrBcB7Svs5X++Tq2K+eJvVG4JAS0EskhRUJeRJKC8v55577mH//v08/PDD3HHHHXi93kJPqzhpXqdZKUZK1qguJg2rCjcnMzGqHk4PFW8hMCMiN4S8UFk1xtrB8OH8Cp27Esa7tJ+tHDe27EGRZC4VTfPl0/jNp2HgVXOPuXgzXPvPCe9OVca2tbWV5uZmhoeHqa2tNXduZwOLNmnfB/fBijdoYlLdXjyt0HLFEO6pgeJtljFnrRQ4Iq/WM5WG9kNzHgvguSrmC1lZmS0V+5lW1kpxkaqM7YsvvkgwGGTlyrPE8zWbxZu17wP7tO9DB84eWwU060jYNJGc7NXqyxQbCyPyQi12GnsJ8r1pqipmD4OV2VKxWSpFYq0UZ0SeJHK2imRlbPv7+3nve9/L9773PWyFKEJUClQ0alFr/14tc2BwP1z214WelXk4PZqYdz2rLeIt2lDoGZ2Jp0ZLhxs6oJ10ClWdsbJZK2UbDee3Hk1s4GBlxU2bTdutGphU1koxEq+M7eTkJNdddx1f/OIXufjiiws8wyKn43Vw/Hea2MkoLLuk0DMyl+b1cOiX2s/GFUgxIYR2gunfC03rC1cDxGbXIlXfSH43hMUKuc3ionfNG6D7eWWtFCM33XQTDz/8MC+99BJvetObCAaD3HTTTbzvfe/j7W9/e6GnV/yse7P2z/vIZ7TIsP2CQs/IXJrWzv+8qAiFHGDpDu17oU80xvb1Ndfkb8yGPFp5redq32NLGxcQJeQxGGVsb7nlFux2Ow888ABPPfUUd999N1u3bmXr1q3s2bOn0NMsXlZdpa3oj52Abbfnp3xpPjFEqW45VBRp96imNdr3ygLZKgZG/Z2OS/M3ZmydH6u54APa97XX5m/MJAgp818afNu2bXLnzp2n3Xbw4EHWr1+f97nEEo1GOe+883jwwQczroBYDPMvCoaPwJ574XV/BZ4CVd+zkukhrVxvdREudoK2Pf2JL2rvf6GyVkCrRe8fz3/j7T33aSmvSy7M77h5QgixS0q5beHtyiPXOXDgANdffz033XSTKmObC01r4Kp/KPQsrKMY0w5jcZXDm75Y6Flo0XE+I2SDre/O/5hFgBJyHVXGVqFQlCpF5ZEXwuYxg1Kdt0KhODsoGiH3eDyMjo6WnChKKRkdHcXjKXxxeYVC8dqkaKyV9vZ2enp6GB4eLvRUMsbj8dDefpY0UFAoFCVH0Qi50+lk+fLlhZ6GQqFQlBxFY60oFAqFIjuUkCsUCkWJo4RcoVAoSpyC7OwUQgwDXVk+vREYMXE6haDUX4Oaf+Ep9ddQ6vOHwryGZVLKM+ovFETIc0EIsTPeFtVSotRfg5p/4Sn111Dq84fieg3KWlEoFIoSRwm5QqFQlDilKOR3FnoCJlDqr0HNv/CU+mso9flDEb2GkvPIFQqFQnE6pRiRKxQKhSIGJeQKhUJR4pSUkAshrhFCHBZCHBNCfLrQ88kUIcR3hBBDQoh9hZ5LNgghlgghnhBCHBBC7BdCfLzQc8oEIYRHCPGiEGKvPv+S7IAhhLALIXYLIX5Z6LlkgxCiUwjxqhBijxBiZ+pnFBdCiFohxI+FEIeEEAeFENsLPqdS8ciFEHbgCHAV0AO8BLxLSnmgoBPLACHEZcA0cI+UclOh55MpQogWoEVK+bIQogrYBby1VP4GQggBVEgpp4UQTuAPwMellM8XeGoZIYT4BLANqJZSXl/o+WSKEKIT2CalLMkNQUKI7wFPSym/LYRwAeVSSm8h51RKEfmFwDEp5QkpZRC4H7ixwHPKCCnlU8BYoeeRLVLKfinly/rPU8BBoK2ws0ofqTGt/+rUv0ojktERQrQD1wHfLvRcXosIIWqAy4C7AKSUwUKLOJSWkLcB3TG/91BCInK2IYToAM4FXijwVDJCtyX2AEPAY1LKkpo/8HXgU0C0wPPIBQk8KoTYJYT4YKEnkyHLgWHgu7q99W0hREWhJ1VKQq4oEoQQlcBPgDuklJOFnk8mSCkjUsqtQDtwoRCiZCwuIcT1wJCUcleh55Ijl0opzwOuBT6qW46lggM4D/imlPJcYAYo+HpdKQl5L7Ak5vd2/TZFHtG95Z8A90opHyr0fLJFvxx+ArimwFPJhEuAG3SP+X7gjUKIHxR2SpkjpezVvw8BP0WzTUuFHqAn5krux2jCXlBKSchfAlYLIZbrCwzvBH5R4Dm9ptAXC+8CDkopv1bo+WSKEKJJCFGr/1yGtnB+qKCTygAp5d9IKdullB1on//fSSlvLfC0MkIIUaEvlKNbElcDJZPFJaUcALqFEGv1m64ACr7YXzSt3lIhpQwLIT4GPALYge9IKfcXeFoZIYT4IfAGoFEI0QP8vZTyrsLOKiMuAd4LvKr7zACfkVL+unBTyogW4Ht6BpQNeEBKWZIpfCXMIuCnWkyAA7hPSvlwYaeUMX8O3KsHlCeA9xd4PqWTfqhQKBSK+JSStaJQKBSKOCghVygUihJHCblCoVCUOErIFQqFosRRQq5QKBQljhJyhUKhKHGUkCsUCkWJ8/8D3wF535TVrhcAAAAASUVORK5CYII=\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5180,12 +5206,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 77,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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Hcu1pQzpdvznM+8XqmbmvaJD7sVfXuhpk9fbDlT0tLDSEB2aPZUdZNfO/2m11OcqLDh2p5/YFaxiYEMljl0/4xrh4R9ISo1h40zT6a5j7hAa5nzLGsGi1kwkZCYxN9X6DrO46e3QKp49I4sn3tlFxpM7qcpQXGGP4xZJ1lFTW8PTVU7p9R3HzmXlzmOfs1jD3Fg1yP7Wx6DD5+yqZY8GdnF0hIjx40Vgqa+p56v1tVpejvOA/n+3i3c37uXfmGCZlJvZoG6kJX4f5tf/WMPcWDXI/tcixx9Uga2Ka1aW0a8zAeK44aRAvfLGbHaVVVpejPGids4JH3szj3LEDuOH0ob3aVnOYJx0Lc+2v52ka5H6opr6R19YWc6GPG2T1xM/PG0VkWCgPr8i3uhTlIYeO1nPbwlySYyP445yuj4t3JDXBNc/cFearNcw9TIPcD721cR+VNQ3M9bOLnG1JjovglrOH817efj4vKLO6HNVLxhjue2U9xRU1/PXqySRGh3ts264z81NJOjZmrmHuKRrkfuhYg6yhvm+Q1RPXf2so6YlR/G55Ho1NepOQnb345W5WbNjH3ReMZurgfh7f/sCESF66+VSS4yI0zD1Ig9zP7Ck/wufby5lrYYOs7ooMC+WXF44hb+9hluQ4rS5H9dDGokP8blke00cnc/MZw7y2n+YwT4mP5AfPrcKxS8O8tzTI/cySHKdfNMjqrosmpDJlUCJ/fGcrVbUNVpejuqmypp7bFuTSLyacJ+ZO8vpJxMCESBbeNI2U+Eiu/beGeW9pkPuRxibD4pxCzhyZTJrFDbK6S8TVs7y0spa/f7jd6nJUNxhjuH/pRpwHj/KXqybTL8Zz4+IdaR3mqzXMe0yD3I98WlDG3kM1zPXTueOdmTyoL5dMSuOfn+ygqOKo1eWoLlq4yskb64r5+XmjOHmo58fFO+IaZnGF+XUa5j2mQe5Hslc76RsdxrnjUqwupcfumTkGgD+8pdMR7SBv72F+88YmzhiZxE/OGm5JDQPiXWE+QM/Me0yD3E8cqK7jnc37uHRyhl81yOqu9MQobjpjGK+tLdae1H6uuraBWxfkEh8V5pNx8Y4MiI9k4c3TGKhh3iMa5H7i1TVF1Dca5p5kr4ucbfnJ9OEkx0Xwu2Xas9xfGWN48NWN7Cqr5qkrJ5EcF2F1SRrmvaBB7geMMWQ7nEzMSGDMQP9rkNVdMRF9uPv80eTuqWDZ+r1Wl6PasDinkKVrirhjxkhOG55kdTnHNA+zNIf5qp0a5l2hQe4HNhQd8usGWT1x2dQMxqXG8+ib+dTUN1pdjmph6/5KfvXaRk4b3p/bzxlpdTnHSWkO84RIrvuPhnlXaJD7gUWrna4GWZP8t0FWd4WGuLojFlUc5blPd1pdjnI7UtfArfNziY3ow5NXTiLUT286S4mP5KWbvg7zr3aUW12SX9Mgt9jRukZeX1vMrBNT2/wcRDs7bXgS540bwN9WFlBaWWt1OQr49WubKCit4skrJpMSF2l1OR1qDvPUhEh++PxqDfMOaJBb7K1Ne6msbbDt3PHO3HfhGGobmnji3S1WlxL0XsktZHFOIbedPYLTR/rPuHhHUuJdNw1pmHdMg9xi2asLGdQvmlN8fCOGrwxLjuUHpw5h0WoneXsPW11O0CooqeLBVzdy8tB+3DnD/8bFO5Lins2SmhDJdf/RMG+LBrmFdpdX88WOcuZmZdimQVZP3DljJPFRYcxbrtMRrVBT38htC3KJDAvlL1dOpk+o/V72KXGuME9LdIX5lxrm32C/n2gAWZJTSIgNG2R1V0J0GHfOGMlnBeV8kF9idTlB5zdvbCJ/XyVPzJ3IwAT/HhfvSHOYp/eN4oca5t+gQW6RxibDkpxCzhyVTGqCvRpk9cT3pw1mWHIMv1+RR31jk9XlBI3X1haxcJWTH581nOmj7dv6oVlKXCQLbjrlWJh/sV3DHDTILfPJtlJbN8jqrrDQEB6YNZYdpdXM/3K31eUEhZ1l1dz/ygamDu7LXeePsrocj0mJc10ATe8bxfXPa5iDBrllsh1O+sWEc+7YAVaX4jPnjEnhWyP68+T72zh0pN7qcgJaTX0jt87PJaxPCH+9ajJhNhwX70hyXISGeQuB9dO1iQPVdby7eT+XTk4nvE/w/AhEhAdnj+Pw0Xqeen+b1eUEtN8vz2Pz3sP8ac5E2/W276rmMM/oG8UPn18V1GEePCniR5Y2N8gKkmGVlsamxnPFSZn874td7CitsrqcgLRiw15e+HI3N50xlBkB/o4vOS6CBTdNI7NvND98fhWfbw/ODwDXIPcxYwyLHU4mZiYyemCc1eVY4mfnjSKiTwiPvKk9yz1td3k19y5Zz6TMxGO94QNdyzC//vnVQRnmGuQ+tr7Q1SBrblZgTznsSEpcJLecPYJ3N+8Pyhedt9Q2NHLbgjWIEJDj4h1Jjotg4c0twrwguH6vgucn7ScWOZxEhoVw8cTAaZDVEzecPpT0xCjmLcujsUlvEvKER1bks6HoEI/PmUhmv2iry/G5pFhXmA/qF831/w2uMNcg96GjdY28sbaYWScEXoOs7ooMC+XeC8ewee9hXs4ptLoc23tr4z6e/3wX1502hAvGD7S6HMskxbqGWZrD/LMgCXMNch96c6O7QdZJwXeRsy0XT0hl8qBEHn9nC1W1DVaXY1vOA0e4Z8k6TkxP4L5ZwTEu3pHmMB/cL4YbgiTMNch9KNvhZHD/wG2Q1V0iwkMXjaO0spZ/fLTd6nJsqa6hidsXrsEYeObqKbb+vFdPSoqNYP5NpzC4XwzXPx/4Ye6RIBeRmSKyRUQKROSXnthmoNldXs2XOw4wNysTkcBtkNVdUwb15dsT03j24x0UVRy1uhzbefztfNY6K3js8gkM6h984+IdaQ7zIf0DP8x7HeQiEgo8A1wIjAOuEpFxvd1uoFnscDfImhK8s1Xac++FruGAP7yl0xG74/28/fzzk51cM20ws05Mtbocv+QaZvk6zD/dFphh7okz8pOBAmPMDmNMHfAScIkHthswmhtknTUq2dbd57wlPTGKG88Yymtri1mz56DV5dhCccVR7lq8jnGp8Twwe6zV5fi1/i3C/Ib/BmaYeyLI0wFni38Xuh/7BhG5WUQcIuIoLS31wG7t4+Ntpew7XMMVepGzXT+ZPoLkuAjmLc/TnuWdqG90jYvXNzTxzPemEBmm4+KdaQ7zoUmuMP9kW2BlkM8udhpjnjXGZBljspKTk321W7+QvdpJ/5hwzhkT2LdL90ZsRB9+cf4ocnYfZNn6vVaX49f+9M5WcnYf5OHvnsjQpBiry7GN/rERzL/RFeY3/tcRUGHuiSAvAlqeama4H1NAeVUt7+UFX4Osnrh8aiZjU+N59M18auobrS7HL63cUsLfP9rOVSdncsmk4974qk60DvOPtwZGmHsiWVYDI0VkqIiEA1cCr3tguwHhWIMsHVbpVGiI8NDssRRVHOXfn+20uhy/s+9QDXdlr2PMwDh+ffF4q8uxrf7ueeZDk2K46X+BEea9DnJjTANwG/A2kAdkG2M29Xa7gcAYQ7bDyaTMREYNCM4GWd112ogkzh07gL+t3E5pZa3V5fiNhsYm7nhpDTX1jTx9tY6L91a/mPBjYX5jAIS5R97rG2NWGGNGGWOGG2N+74ltBoJ1hYfYur8qKNvV9sb9s8ZQU9/IE+9utboUv/HU+9tYtfMA875zAiNSYq0uJyA0h/mwAAhzHbT1okWrmxtk6Rzf7hiWHMs1pw5m0eo95O87bHU5lvt0WxlPryxgztQMvqv3IXhUc5gPT461dZhrkHvJ0bpG3lhXzKwTU4kL8gZZPXHnjJHERYYxb1lwT0csOVzDTxetYURyLL+5RMfFvaFfTDjzbzzlWJh/ZMMw1yD3khUb9lJV28AVOqzSI4nR4dw5YySfFpSxckuJ1eVYorHJcOdLa6mqbeCZ700hOryP1SUFrH4x4Sxwh/lNNgxzDXIvyXY4GdI/mpO1QVaPXXPqYIYlxTBveR71jU1Wl+Nzf/1gG1/sKOe3l5ygF8t9oG+rMP/QRicQGuResKusmq92HmCONsjqlbDQEO6fNZYdpdUs+GqP1eX41Ofby3jq/W1cOjmdOVN1XNxXmsN8RHIsN7+QY5sw1yD3gsU5Tm2Q5SEzxqZw2vD+/Pm9rRw6Um91OT5RWlnLnS+tZWhSDPO+c4KeDPhYX/eYuZ3CXIPcwxoam1iSU8j00SnaIMsDRIQHZ4/j0NF6/vLBNqvL8bqmJsPPs9dy+Gg9z1w9hZgIHRe3QnOYj0yxR5hrkHvYJ9vK2H+4VueOe9C4tHiuyMrkf1/sYmdZtdXleNX/+2g7n2wr49cXj2dsarzV5QS1b4T5/3L8+qK7BrmHLTrWICvF6lICys/PH0V4aAiPrMizuhSvWbXzAH96ZwsXT0zjqpP1RMAfJEa7w3xALD/y4zDXIPeg5gZZ352iDbI8LSUuklvOHsE7m/fz+fbA6yd9oLqOOxauYVC/aB6+VMfF/clxYZ7vf2GuaeNBS9cU0dBkdFjFS244fSjpiVHMW5ZHY1Pg3CTUPC5+oLqOp6+eojeQ+aHmMB81MJYfveB/Ya5B7iHGGBatdjJ5UCIjdc6vV0SGhXLPzNFs3nuYl3MLrS7HY579ZAcfbinloYvGckJ6gtXlqHYkRofz4g1fh/kH+futLukYDXIPWeusYFuJNsjytm9PTGPyoEQef3sL1bUNVpfTazm7D/D421uYdeJAvj9tsNXlqE60DPMfv5DrN2GuQe4h2Q4nUWGhXDRBG2R5U/N0xNLKWv7x0Xary+mVg9V13L5gDWmJkTx62QQdF7eJxOhw5t8w7ViYv59nfZhrkHvAkboG3li3Vxtk+cjUwX25eGIaz36yg+KKo1aX0yPGGO5eso7SqlqeuXoK8fp7YysJ0WHMv2EaowfG8ZMXrQ9zDXIPWLFhn6tBln4KkM/cO3M0TQb+8Fa+1aX0yHOf7uS9vBLuu3AsEzISrS5H9UBCdBgv3nAKowfG8eMXcywNcw1yD8h2OBmaFMNJQ/paXUrQyOgbzY2nD+XVtcWsdVZYXU63rHVW8Nhb+Zw/bgA//NYQq8tRvdAc5mNT4y0Ncw3yXtpZVs2qnQeYk5WhY5w+dsvZI0iKjWDess226Vl+6Gg9ty3IJSUukscvn6i/MwEgITqMF67/Oszf2+z7MNcg76XFDiehIcLl2iDL52Ij+vCL80fh2H2Q5Rv2Wl1Op4wx3LNkHfsO1fD01ZNJiNZx8UCREB3GC+4z85/M932Ya5D3wrEGWaOSSYnXBllWmJOVyZiBcTz6Zj419Y1Wl9Oh/36+i7c37efemWOYPEiH4QJNQtQ3w/xdH4a5BnkvfLytlJLKWubqRU7LhIYID100jsKDR/nPZ7usLqddGwoP8fCKfM4Zk8INpw+1uhzlJc1hPi41nlt8GOYa5L2waLWTpFhtkGW1b41I4tyxKTyzsoDSylqryznO4Zp6bl2QS//YcP40ZyIhITouHsgSosL4X4swf2fTPq/vU4O8h0ora3k/r4TvTskgLFQPo9XumzWWmvpG/vzeVqtL+QZjDPe9vIGiiqP89arJ9I0Jt7ok5QPHwjwtgVsX5Ho9zDWBeujVYw2y9CKnPxieHMv3pw3mpVV7yN932Opyjpn/1R6Wb9jLXeePImuIfn5rMEmICuN/15/skzDXIO8BYwyLHE6mDEpkRIo2yPIXPz13JHGRYfx+eZ5fTEfcVHyI3y7bzFmjkvnxmcOtLkdZwDVm7grzW+Z7L8w1yHtgjbOCAm2Q5XcSo8O5Y8ZIPtlWxodbSi2tpaq2gdsWrKFvdBhPzNVx8WAWH+kK8/HprjD/eKvnfzc1yHsge7W7QdbENKtLUa1cM22w60OLl2+mvrHJkhqMMTywdAO7y6v5y5WT6R8bYUkdyn80h/mlk9MZn+b5j/DTIO8mV4OsYmZPSCVWPxjX74T3CeH+WWPZXlrNgq/2WFLDotVOXltbzM/OHcUpw/pbUoPyP/GRYTw+Z6JX/rBrkHfT8vV7qa5r1AZZfuzcsSmcOqw/T763lUNH6n267/x9h/n165s4fUQSt5w9wqf7VsFLg7ybFjsKGZYUQ9ZgvTPPX4kID140loqj9fz1g20+2291bQO3zs8lLjKMP18xiVAdF1c+okHeDTtKq1i16wBzsjK12ZGfG5+WwNypmfz3i13sLKv2yT4fem0jO8qqeerKSSTH6bi48h0N8m5YnFNIaIhw2ZR0q0tRXXDX+aMICw3h0TfzvL6vJTmFvJJbxO3njORbI5K8vj+lWtIg76KGxiZezink7NHaIMsuUuIjuWX6cN7etJ8vtpd7bT/b9lfy0KsbmTasH3fOGOm1/SjVHg3yLvpoq7tBls4dt5UbzxhGWkIk85ZvprHJ8zcJHa1r5NYFuUSHh/LUlZN1XFxZQoO8i1wNsiI4Wxtk2UpkWCj3XjiGTcWHeSW30OPb/7/XN7GtpIo/XzGJAfpOTVmkV0EuInNEZJOINIlIlqeK8jellbV8kF/CZVPStUGWDX17YhqTMhN5/O0tVNc2eGy7r64pYpHDyS3Th3PmqGSPbVep7uptKm0Evgt87IFa/NbSNYU0NBnm6LCKLYkID100lpLKWv7x0XaPbHN7aRX3L93ASUP68rNzR3lkm0r1VK+C3BiTZ4zZ4qli/JExhkWrnUwd3JcRKbFWl6N6aOrgflw0IZVnP9lBccXRXm2rpr6RW+fnEtEnhL9cNZk++i5NWcxnv4EicrOIOETEUVpqbUOj7sjdU8H20mptVxsA7p05hiYDj7/du3OP3y7bTP6+Sp6YO4nUhCgPVadUz3Ua5CLynohsbOPrku7syBjzrDEmyxiTlZxsn/HE7NVOosNDmT1BG2TZXWa/aG44fShL1xSx1lnRo228sa6YBV/t4UdnDtML38pvdBrkxphzjTEntPH1mi8KtFJ1bQPL1hcz+0RtkBUobpk+nKTYcOYt29ztnuW7yqq575UNTBmUyC8uGO2lCpXqPh3c68DyDdogK9DERYZx1/mjcew+yIoNXW/yX9vQyG0LcwkNEf569RSdvaT8Sm+nH14qIoXAqcByEXnbM2X5h8UOJ8OSY5iqDbICytysTMYMjOPRt/KoqW/s0nMeXp7HxqLD/HHORNITdVxc+ZfezlpZaozJMMZEGGMGGGMu8FRhVtteWsXqXQeZqw2yAk5oiPDg7HE4Dxzl+c93dbr+mxv28t8vdnPD6UM5b9wA7xeoVDfp+8N2LHa4GmR9VxtkBaTTRyYxY0wKT39QQFlVbbvr7Sk/wj0vr2diRgL3zhzjwwqV6joN8jY0NDbxcm4hZ49OISVOb7sOVPfNGktNfSN/fndrm8vrGpq4fWEuAE9fPYXwPvpyUf5JfzPb8OGWUkora/UiZ4AbkRLL96cNZuGqPWzZV3nc8kffzGdd4SEev3wCmf2iLahQqa7RIG/DIoerQdb00faZ76565s4ZI4mN6MO85d+cjvjOpn38+7OdXHvqYGaekGphhUp1ToO8lZLKGleDrKnaICsY9I0J544ZI/lkWxkfbnXdcVx48Ai/WLyOE9LjuX/2WIsrVKpzmlStLM0torHJMGeqDqsEix+cOoShSTH8frlrOuLtC9fQZODpq6YQ0SfU6vKU6pQGeQvGGBY5nGRpg6ygEt4nhPsuHENBSRWX/u1z1uyp4NHLTmRIUozVpSnVJRrkLeTuOciO0mr9FKAgdN64AUwb1o+8vYf53imDuEh76ygb0QYiLSxa7SQmPJTZE/TiVrARER67bAJLcgq59ewRVpejVLdokLu5GmTt5eIJacRog6ygNLh/DHedr82wlP3o0Irb8vV7OVLXyNyTtO+4UspeNMjdsh1OhifHMGWQNshSStmLBjlQUFKFY7c2yFJK2ZMGObA4x+lukKXDKkop+wn6IK9vbOLlnCLOGZNCclyE1eUopVS3BX2Qr8wvoayqlit07rhSyqaCPsizHYUkx2mDLKWUfQV1kJccrmHllhIum5JBH22QpZSyqaBOr1fWuBtkZelFTqWUfQVtkBtjyF7t5KQhfRmerA2ylFL2FbRBnrP7IDvKqpmjFzmVUjYXtEF+rEHWidogSyllb0EZ5FW1DSzfsJeLJ2qDLKWU/QVlkC9fX8yRukYdVlFKBYSgDPJsRyEjUmKZMijR6lKUUqrXgi7IC0oqydl9kLlZGdogSykVEIIuyBc7CukTIlw6WeeOK6UCQ1AFeX1jEy/nFmqDLKVUQAmqIP8gv4SyqjquOEkvciqlAkdQBflih5OUuAjOGqUNspRSgSNogtzVIKuUy6ZqgyylVGAJmkR7OdfdIGuqXuRUSgWWoAhyYwyLHU5OHtKPYdogSykVYIIiyB3uBllz9SKnUioABUWQL1rtJDaiD7NOHGh1KUop5XEBH+RVtQ0sX7+XiyemEh2uDbKUUoGnV0EuIo+LSL6IrBeRpSKS6KG6PGbZumKO1muDLKVU4OrtGfm7wAnGmAnAVuC+3pfkWdkOJyNTYpmcmWh1KUop5RW9CnJjzDvGmAb3P78E/GpuX0FJJbl7KpiblakNspRSAcuTY+TXA2+2t1BEbhYRh4g4SktLPbjb9mU3N8iaku6T/SmllBU6vfonIu8BbU33eMAY85p7nQeABmB+e9sxxjwLPAuQlZVlelRtN9Q3NvFKbiEzxqaQFKsNspRSgavTIDfGnNvRchG5DrgImGGM8XpAd9X7edogSykVHHo1H09EZgL3AGcZY454piTPaG6QdeZIbZCllApsvR0jfxqIA94VkbUi8ncP1NRr+w/XsHJLCZdrgyylVBDo1Rm5MWaEpwrxpJdzC2ky6NxxpVRQCLjTVVeDrEJOHtqPoUkxVpejlFJeF3BBvnrXQXaWVXOFno0rpYJEwAV5c4OsC7VBllIqSARUkFfW1LNiw14unpimDbKUUkEjoIJ82fq9HK1vZG6WX3UKUEoprwqoIM92OBk1IJZJ2iBLKRVEAibIt+2vZI02yFJKBaGACfJFq52uBlmTtUGWUiq4BESQ1zU0sXRNEeeOHUB/bZCllAoyARHkH+Tvp7xaG2QppYJTQAR5tqOQAfERnDEyyepSlFLK52wf5PsO1fChNshSSgUx2yffsQZZU3VYRSkVnGwd5K4GWU5OGdqPIdogSykVpGwd5Kt2HmBX+RG9yKmUCmq2DvJFDidxEX248IRUq0tRSinL2DbIjzXImpRGVHio1eUopZRlbBvkb6zbS019E3O177hSKsjZNsizHU5GD4hjYkaC1aUopZSlbBnkW/dXstZZwZysDG2QpZQKerYM8kWrnYSFaoMspZQCGwa5NshSSqlvsl2Qv5+3nwPVdczVueNKKQXYMMizHU4Gxkdy5shkq0tRSim/YKsg33eoho+2lnL51AxCQ/Qip1JKgc2C/FiDLP1wZaWUOsZWQZ4cF8HcrAwG99cGWUop1ayP1QV0x9ysTL2TUymlWrHVGblSSqnjaZArpZTNaZArpZTNaZArpZTNaZArpZTNaZArpZTNaZArpZTNaZArpZTNiTHG9zsVKQV29/DpSUCZB8vxFK2re7Su7tG6usdf64Le1TbYGHNcx0BLgrw3RMRhjMmyuo7WtK7u0bq6R+vqHn+tC7xTmw6tKKWUzWmQK6WUzdkxyJ+1uoB2aF3do3V1j9bVPf5aF3ihNtuNkSullPomO56RK6WUakGDXCmlbM5vg1xEZorIFhEpEJFftrE8QkQWuZd/JSJD/KSu60SkVETWur9u9EFN/xaREhHZ2M5yEZG/uGteLyJTvF1TF+uaLiKHWhyrX/morkwRWSkim0Vkk4jc2cY6Pj9mXazL58dMRCJFZJWIrHPX9Zs21vH567GLdfn89dhi36EiskZElrWxzLPHyxjjd19AKLAdGAaEA+uAca3WuQX4u/v7K4FFflLXdcDTPj5eZwJTgI3tLJ8FvAkIMA34yk/qmg4ss+D3KxWY4v4+Dtjaxs/R58esi3X5/Ji5j0Gs+/sw4CtgWqt1rHg9dqUun78eW+z758CCtn5enj5e/npGfjJQYIzZYYypA14CLmm1ziXAf93fLwFmiIj4QV0+Z4z5GDjQwSqXAP8zLl8CiSKS6gd1WcIYs9cYk+v+vhLIA9JbrebzY9bFunzOfQyq3P8Mc3+1niXh89djF+uyhIhkALOBf7WzikePl78GeTrgbPHvQo7/hT62jjGmATgE9PeDugAuc78dXyIi/vAho12t2wqnut8avyki4329c/db2sm4zuZasvSYdVAXWHDM3MMEa4ES4F1jTLvHy4evx67UBda8Hp8E7gGa2lnu0ePlr0FuZ28AQ4wxE4B3+fqvrjpeLq7eEROBvwKv+nLnIhILvAz81Bhz2Jf77kgndVlyzIwxjcaYSUAGcLKInOCL/XamC3X5/PUoIhcBJcaYHG/vq5m/BnkR0PIvZ4b7sTbXEZE+QAJQbnVdxphyY0yt+5//AqZ6uaau6Mrx9DljzOHmt8bGmBVAmIgk+WLfIhKGKyznG2NeaWMVS45ZZ3VZeczc+6wAVgIzWy2y4vXYaV0WvR6/BXxbRHbhGn49R0RebLWOR4+Xvwb5amCkiAwVkXBcFwNeb7XO68C17u8vBz4w7isHVtbVahz127jGOa32OvAD90yMacAhY8xeq4sSkYHN44IicjKu30evv/jd+3wOyDPGPNHOaj4/Zl2py4pjJiLJIpLo/j4KOA/Ib7Waz1+PXanLitejMeY+Y0yGMWYIroz4wBjz/VarefR49enpE73JGNMgIrcBb+OaKfJvY8wmEfkt4DDGvI7rF/4FESnAdUHtSj+p6w4R+TbQ4K7rOm/XJSILcc1mSBKRQuDXuC78YIz5O7AC1yyMAuAI8ENv19TFui4HfiIiDcBR4Eof/DEG1xnTNcAG9/gqwP3AoBa1WXHMulKXFccsFfiviITi+sORbYxZZvXrsYt1+fz12B5vHi+9RV8ppWzOX4dWlFJKdZEGuVJK2ZwGuVJK2ZwGuVJK2ZwGuVJK2ZwGuVJK2ZwGuVJK2dz/B+7JX/+gkhV0AAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5226,7 +5252,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 78,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -5240,14 +5266,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 79,
    "metadata": {
     "exercise": "solution"
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5311,7 +5337,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 80,
    "metadata": {
     "slideshow": {
      "slide_type": "-"
@@ -5320,7 +5346,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x144 with 1 Axes>"
       ]
@@ -5348,7 +5374,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 81,
    "metadata": {
     "slideshow": {
      "slide_type": "-"
@@ -5357,7 +5383,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x144 with 1 Axes>"
       ]
@@ -5382,7 +5408,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 82,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -5391,7 +5417,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5416,7 +5442,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 83,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -5425,7 +5451,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5442,7 +5468,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 84,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -5451,7 +5477,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 864x288 with 1 Axes>"
       ]
@@ -5491,7 +5517,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 85,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -5505,14 +5531,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 86,
    "metadata": {
     "exercise": "solution"
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x216 with 1 Axes>"
       ]
@@ -5529,14 +5555,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 87,
    "metadata": {
     "exercise": "solution"
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x216 with 1 Axes>"
       ]
@@ -5553,7 +5579,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 88,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -5563,7 +5589,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5581,7 +5607,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": 89,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -5591,7 +5617,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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pYcTo5j0RkVopYcQUFiphiIjUQgkjRgMQiojUSgkjRl1SIiK1UsKIibUw3DMdiYhIVlLCiCkshB07YPPmTEciIpKVlDBidPOeiEitlDBiYglDJ75FRBJSwohRC0NEpFZKGDFKGCIitVLCiNGItSIitVLCiNljD+jQQecwRESSUMKIp5v3RESSSlvCMLNeZjbLzJaY2dtm9tOovKuZPW9my6N5l6jczOxOM1thZovMbHC6YktKCUNEJKl0tjDKgZ+5ez/gKODHZtYPuAp40d37Ai9GrwFOAvpG00Tg7jTGlpgShohIUmlLGO6+xt0XRMtfAkuBHsA4YHq02nTg1Gh5HHC/B/8HdDaz7umKLyGNWCsiklSTnMMws2JgEDAX2Mvd10RVnwJ7Rcs9gI/j3rYqKqu+rYlmVmZmZesa+8tdI9aKiCSV9oRhZvnAI8Cl7v5FfJ27O7Bbo/25+73uXurupUWxeycaS1ERbN0K27Y17nZFRFqAtCYMM8slJIu/uPujUfFnsa6maL42Kl8N9Ip7e8+orOno5j0RkaTSeZWUAfcBS9399riqmcD4aHk88Hhc+fnR1VJHAZvjuq6ahm7eExFJqm0atz0EOA94y8wWRmX/D/gNMMPMLgA+BM6M6p4CxgArgK+A/0xjbImphSEiklTaEoa7zwEsSfXwBOs78ON0xZMSjVgrIpKU7vSOpxaGiEhSShjxOneGnBwlDBGRBJQw4pnp5j0RkSSUMKrTzXsiIgkpYVSn8aRERBKqM2GY2RlmVhAt/8LMHs3ISLJNRQlDRCShVFoYv3T3L83sWOBEws14TT+SbFPROQwRkYRSSRgV0fxk4F53fxJol76QMqyoCD7/HHbsyHQkIiJZJZWEsdrM7gHOAp4ys/Ypvq95it2LsXFjZuMQEckyqXzxnwk8C4xy901AV2BSOoPKKN28JyKSUJ1Dg7j7V8Cjca/XAE07KGBTUsIQEUmo5XYt1ZdGrBURSUgJozoNQCgiklDShGFmz5rZZWZ2cFMGlHHduoW5WhgiIlXU1sIYD3wOTDazBWZ2t5mNM7M9mii2zMjNhS5dlDBERKpJetLb3T8FpgHTzKwNcCRwEnClmW0DnnP3W5okyqamm/dERGpI6QFK7r4TeC2afmVmhcCodAaWURoeRESkhnqd9Hb39e7+l8YOJmtoxFoRkRp0lVQiamGIiNSghJFIrIXhnulIRESyRirDm+9lZveZ2dPR635mdkH6Q8ugwkIoL4dNmzIdiYhI1kilhTGNMJbUPtHrd4FL0xRPdtDNeyIiNaSSMArdfQawE8Ddy6kc8rxl0nhSIiI1pJIwtppZN8ABzOwoYHNdbzKzqWa21swWx5VNNrPVZrYwmsbE1V1tZivMbJmZZfaSXSUMEZEaUrkP43JgJrC/mf0bKAJOT+F904C7gPurld/h7v8TX2Bm/YCzgf6Erq8XzOxAd89MS0YDEIqI1JDK8OYLzOx44CDAgGXuXufj6Nz9ZTMrTjGOccDf3X078IGZrQCOINwo2PTUwhARqSGVq6RygDHAcGAk8BMzu7wBn3mxmS2Kuqy6RGU9gI/j1lkVlSWKZ6KZlZlZ2bp0faF37BgmnfQWEdkllXMY/wQmAN2AgripPu4G9gdKCA9hum13N+Du97p7qbuXFsVaAumgm/dERKpI5RxGT3c/tDE+zN0/iy2b2R+BJ6KXq4Fe8Z8ZlWWOEoaISBWptDCeNrORjfFhZtY97uVpQOwKqpnA2WbW3sx6A32BeY3xmfW2cCE880xGQxARySaptDD+D/hHNMT5DsKJb3f3PWt7k5n9DRgGFJrZKuBaYJiZlRAu0V0JXEjY2NtmNgNYApQDP87YFVIx5eUZ/XgRkWxjXsd4SWb2AeEqpre8rpWbWGlpqZeVlaVn4z/4AcyZAx9/XPe6IiLNiJnNd/fS3X1fKl1SHwOLsy1ZpF3bttCuXaajEBHJGql0Sb0PzI4GH9weK3T329MWlYiIZJ1UEsYH0dQumkREpBVK5U7v65oiEBERyW5JE4aZ3eXuF5vZP4kGHozn7mPTGpmIiGSV2loY5wMXA/9TyzoiItJK1JYw3gNw95eaKBYREclitSWMotoGGdRVUiIirUttCSMHyCfc2S0iIq1cbQljjbtf32SRiIhIVqvtTm+1LEREZJfaEsbwJotCRESyXtKE4e4bmzIQERHJbqkMPigiIqKEISIiqVHCqE15ObSyUd1FRJJRwkhm4ED46CO48cZMRyIikhVSGd68dbr8cli0CH75S+jSBX7840xHJCKSUUoYybRpA/fdB5s3w8UXQ+fOcM45mY5KRCRj1CVVm9xcePBBGDYMxo+HJ57IdEQiIhmjhFGXvDx4/HEoKYEzzoCXX850RCIiGaGEkYo994Snn4biYvjud2HBgkxHJCLS5NKWMMxsqpmtNbPFcWVdzex5M1sezbtE5WZmd5rZCjNbZGaD0xVXvRUVwXPPhXMZo0fDsmWZjkhEpEmls4UxDRhdrewq4EV37wu8GL0GOAnoG00TgbvTGFf99eoFzz8flkeMCJfdioi0EmlLGO7+MlB9PKpxwPRoeTpwalz5/R78H9DZzLqnK7YGOfBAePbZcPXUiBGwdm2mIxIRaRJNfQ5jL3dfEy1/CuwVLfcAPo5bb1VUlp0GDQpXTK1YAXfemeloRESaRMZOeru7A7s97oaZTTSzMjMrW7duXRoiS9HQoZCfD1u3Zi4GEZEm1NQJ47NYV1M0j/XnrAZ6xa3XMyqrwd3vdfdSdy8tKipKa7AiIlKpqRPGTGB8tDweeDyu/PzoaqmjgM1xXVciIpIF0jY0iJn9DRgGFJrZKuBa4DfADDO7APgQODNa/SlgDLAC+Ar4z3TFJSIi9ZO2hOHuP0hSVePRr9H5DI3uJyKSxXSnt4iIpEQJQ0REUqKEISIiKVHCEBGRlChhiIhISpQwREQkJUoYIiKSEiUMERFJiRKGiIikRAlDRERSooQhIiIpUcIQEZGUKGGIiEhKlDBERCQlShgiIpISJQwREUmJEkZDrV4NX3yR6ShERNJOCaMh9t8fHnoICgth+HC47TZYuhTcMx2ZiEijU8JoiLlz4aWX4LLLYO1auOIK6NcvJJKLL4annoJt2zIdpYhIozBvxv8Nl5aWellZWabDqPTRR/D00yFRvPACfPUV5OfDggXQt2+moxMRAcDM5rt76e6+Ty2MxrTvvnDhhfD447BhA/zud7BlC3z8caYjExFpMCWMdMnLg0MPzXQUIiKNRglDRERS0jYTH2pmK4EvgQqg3N1Lzawr8CBQDKwEznT3zzMRn4iI1JTJFsZ33L0k7sTLVcCL7t4XeDF6LSIiWSKbuqTGAdOj5enAqZkLRUREqstUwnDgOTObb2YTo7K93H1NtPwpsFeiN5rZRDMrM7OydevWNUWsIiJChs5hAMe6+2oz+xbwvJm9E1/p7m5mCW8Qcfd7gXsh3IeR/lBFRAQy1MJw99XRfC3wD+AI4DMz6w4QzddmIjYREUmsyROGme1hZgWxZWAksBiYCYyPVhsPPN7UsYmISHKZ6JLaC/iHmcU+/6/u/oyZvQ7MMLMLgA+BMzMQW+MqKAjze+6Bo46Cjh0zG4+ISAM0ecJw9/eBgQnKNwDDmzqetCopgeuvh2uvhXfegUcfDQMTiog0Q9l0WW3LYwa//CU8+WQYT6q0NAxMKCLSDClhNIWTToKyMiguhlNOgeuug507Mx2ViMhuUcJoKn36wL//DeedB5Mnw9ix8HmKI5/MmwcffJDW8ERE6pKp+zBap44dYdo0OPJIuPTS0EX1j3/UHNV2+3Z4/31YsQKWL4ef/SyUN+Nnl4hI86eE0dTM4KKLYNAgOP30cPXU5ZeH1sby5WH66CN1WYlI1lHCyJSjjw5P4jvrLLjxRujcOTyV75hj4Pzzw3JsOuqo0BoREckgJYxM2msvmDULvvgC9twztD5ERLKUEkammUGnTpmOQkSkTrpKqrmoqNBJbxHJKLUwmoN27WDGDJg5E7p3h733DlNsuXrZt74FubmZjlpEWhgljOZg2jR46SX49FNYsybM3303lG3cWHN9MygsrJlYBg8OJ9lFROpBCaM5KC1NfpXU9u3w2WchicQnlOrJZc0a+OYbGDcO8vKaNn4RaRGUMJq79u1h333DVJtbboGf/xxuuAHatg2J5ptvwjx+ubgYTjsNjjhCV22JSBVKGK1FLKHceGOY5+aGZNOuXeW8XTt45BG4+Wbo2RO+9z34/vdhyBDIyclc7CKSFcyb8ZU3paWlXlZWVq/3vvMO5OeH78VW46uvwhd/u3bJWw+ffw5PPBESx7PPwtdfh5Pop54aksd3vqMT6iLNnJnNd/fdvhu4VSYMdzj2WHj7bbjzzjAeoHpfEtiyJQzH/sgjYYj2rVtDshk3LiSOjh2hQ4cwj1+uPs/L0w9YJIsoYeym996DCRNgzpzw/XfPPeHGa0li27aQNM44o37v79ChaiI5/XS46abGjVFEUqKEUQ8VFfDb38I114TuqVmzYMCAxouvRaqoCC2NbdtCF1dsHr9c13zq1LCtP/yh8txJ/HmU+ClReXxZbq5aLyK7qb4Jo1Wf9M7JCSOHn3RSuIjooINCubu+g5LKyQnjXu25Z/230akT3HFHGLW3MeTm1p502rYN61SfYuUFBdC1a5i6dKlcjn9dUKBfCmn1WnULI5FNm2DUqPAY7jFjGnXTEuMeTq7v2FF5SW/8lKisIeXl5eGzqk/l5aH+yy/DDZDbtyePOScneUJ59VVYsiT0aebnwx571H/eoUM459O+fZjXdoGCSD2phdFI1q8PvSYnnxySxuTJmY6oBTILX7bZZtu2kDhi0+efJ3/96achSXz+OWzeHN5/3HHhQoGtW8N8w4aqr7durd9zTvLyqiaR+CmVst193/btMH16ZcstUeutrq7C2l7rEu1mSwmjmgMOCI/fPuKIcAVV165wySWhrqwsfDfk54ceioKCcFmu/gFsITp0gB49wrQ7ysvDvG0df07u4TLl+ARSff7114mn7duTl3/xBaxdm3zdbOtFaNNm95NMfRJToq7JNm1Cwqo+NVZ5C/8yUJdUEjffDFdfHYZg+uSTUPbd74ZbFKqvd+WVaQlBpOHcQ/dbsqSTLBHl54dxx2Lvr637r3pZXa8ba53Y6x07Mv1TriqdCSm+/IwzwqWe9dBiuqTMbDTwv0AO8Cd3/00m4vj5z2HSpPC3E3P77SE5fPllmGbMgG7dwj94Y8dWHsvY/Pzz4eyzQ8+EbkeQjDCr/A+7vu9v3z5M2So+qSVLKtu3h+7AioqaU2OVN+a2EpVX34cvv2zyH3VWJQwzywF+D4wAVgGvm9lMd1+SiXjatAlf9DGxJ6bGxAZ+jXVhx87hxo73V1+F8mHDYPHi8DfbuXOYRoyAu+4K9VdeGcYPLC8P7y0vD6NxXHZZqDcL0w03VL7+3vfCVV3vvw8PPVQZUywhnXlmGBZq2TL45z9h5crQpXbRRSGZjR0butSWLQs3MLZpUzXhnXBC+I744ANYtaqyrrw8lB9+ePicd98N9fGxQ2iNAbzyCqxYEcpj67RvDz/6UfgZbdlSM/ZYj0L8zzC+PnY17c6dVRN6TKz3YefO8F1RXW5u2JeKiqr/nMZ+zrGei507K3tzYnUNSfjxjXmzsP3YKY34urZtK+vj91v/bCQRnxTz8zMdTcvm7lkzAUcDz8a9vhq4Otn6hx12mDcH99/vftNN7lde6T5xovuZZ7pff31l/cCB7sXF7vvv737QQe79+rlPmlRZH75Oqk6PPBLqnn46cf1zz4X6GTMS17//fqi/6abE9WvXhvqrr05cX1ER6i+8sGZdhw6VsZ9zTs36b30r1H36aeJt33JLqF++PHH9H/4Q6hcsSFz/5z+H+pdeSlz/2GOh/sknE9e/+GKo/9vfEtfPnRvq//Qn9zZt3HNyqk5Ll4b6229P/P6PPw71112XuH7TplB/xRWJ68vLQ/1//3fVz2/b1r1Tp8qf/fjx7u3bu+flhalDh/B7FnP22e4FBWHac88wDRpUWT92rHuXLpVT167uxx9fWT9ihHthYdXplFMq64cMCcc6fvqP/6isHzTIfe+9w9S9e5guvLCy/qCD3PfZJ0w9eoTpiisq6/fbz71Xr6rTddeFuq1bQ338VFzsftttoX7dOvfevWtO99wT6j/4wL1Pn5rTAw+E+rffdj/ggJpT7Hdr3jz3vn1rTs8/H+pnzw77V3167bXK382DD645LVoU6t991xsEKPN6fEdnVQsD6AF8HPd6FXBk/ApmNhGYCLBvXSO0Zonzzqu9fuHC2ut37qz8T9ij/0Rj51dHjKj8LzxWB5U9CKedFlqu7uEKsNh/tbExtC64IFwRFmvpxuadO1fWDx9e2Qpet66yDkIr6Ac/CPHETzG33x7GO8zJqVmfnw+33VYz9uOOC/Nu3eDWW2vWH3VUmO+zTziHVN2gQWFeXAy//nXN+m9/O8wPOqiyPvZ1DNCnT5gPGADXX1/16xoqz4kPHBjOc8XeH2sBdOtWGeevfhWW41sJsVtYhg0L26/egogdu5EjK/9hjv/82HqjR1debBarjx/ma/ToytELYvXx/4CfeGJ4VEpsu+7hMSrx9fvtV1kXv+8Qfi/iW9wA++9fuTxiRM0bYfv3r1q/aVPVYzt4cOXyyJHhwrX4+vj3Dx9e83x+LJ6cnPDzjYmtV1wc5rm5YXig6mL716EDHHNMzfrYz7Njx3BhTHWxY5+fn/iJBLG/nYICKCmpWR87Pp07w6GH1qzv0CHMM9VDmFUnvc3sdGC0u/8wen0ecKS7X5xo/XSe9BYRaanqe9I7257pvRroFfe6Z1QmIiIZlm0J43Wgr5n1NrN2wNnAzAzHJCIiZNlVUu5ebmYXA88SLqud6u5vZzgsEREhyxIGgLs/BTyV6ThERKSqbOuSEhGRLKWEISIiKVHCEBGRlChhiIhISrLqxr3dZWbrgA+TVBcC65swnKai/Wp+Wuq+ab+an9i+7efuRbv75madMGpjZmX1uZMx22m/mp+Wum/ar+anofumLikREUmJEoaIiKSkJSeMezMdQJpov5qflrpv2q/mp0H71mLPYYiISONqyS0MERFpREoYIiKSkhaXMMxstJktM7MVZnZVpuNpKDNbaWZvmdlCMyuLyrqa2fNmtjyad8l0nHUxs6lmttbMFseVJdwPC+6MjuEiMxucfMuZlWS/JpvZ6uiYLTSzMXF1V0f7tczMRmUm6rqZWS8zm2VmS8zsbTP7aVTeEo5Zsn1r1sfNzPLMbJ6ZvRnt13VReW8zmxvF/2D06AjMrH30ekVUX1znh9Tnua7ZOhGGRH8P6AO0A94E+mU6rgbu00qgsFrZLcBV0fJVwM2ZjjOF/TgOGAwsrms/gDHA04ABRwFzMx3/bu7XZOCKBOv2i34n2wO9o9/VnEzvQ5L96g4MjpYLgHej+FvCMUu2b836uEU/+/xoOReYGx2LGcDZUfkU4L+j5YuAKdHy2cCDdX1GS2thHAGscPf33f0b4O/AuAzHlA7jgOnR8nTg1MyFkhp3fxnYWK042X6MA+734P+AzmbWvUkC3U1J9iuZccDf3X27u38ArCD8zmYdd1/j7gui5S+BpUAPWsYxS7ZvyTSL4xb97LdEL3OjyYETgIej8urHLHYsHwaGm8WeGJ9YS0sYPYCP416vovZfhObAgefMbL6ZTYzK9nL3NdHyp8BemQmtwZLtR0s4jhdHXTNT47oMm+V+RV0Vgwj/sbaoY1Zt36CZHzczyzGzhcBa4HlCa2iTu5dHq8THvmu/ovrNQLfatt/SEkZLdKy7DwZOAn5sZsfFV3poTzb7a6Nbyn5E7gb2B0qANcBtGY2mAcwsH3gEuNTdv4iva+7HLMG+Nfvj5u4V7l4C9CS0gg5uzO23tISxGugV97pnVNZsufvqaL4W+Afhl+CzWHM/mq/NXIQNkmw/mvVxdPfPoj/cncAfqey+aFb7ZWa5hC/Uv7j7o1FxizhmifatpRw3AHffBMwCjiZ0D8aerhof+679iuo7ARtq225LSxivA32jqwLaEU7kzMxwTPVmZnuYWUFsGRgJLCbs0/hotfHA45mJsMGS7cdM4PzoypujgM1x3SBZr1rf/WmEYwZhv86Ork7pDfQF5jV1fKmI+rLvA5a6++1xVc3+mCXbt+Z+3MysyMw6R8sdgBGE8zOzgNOj1aofs9ixPB34V9RqTC7TZ/bTcKXAGMJVD+8B12Q6ngbuSx/C1RlvAm/H9ofQz/gisBx4Aeia6VhT2Je/EZr5Owj9qBck2w/C1R6/j47hW0BppuPfzf36cxT3ouiPsnvc+tdE+7UMOCnT8deyX8cSupsWAQujaUwLOWbJ9q1ZHzfgUOCNKP7FwK+i8j6EBLcCeAhoH5XnRa9XRPV96voMDQ0iIiIpaWldUiIikiZKGCIikhIlDBERSYkShoiIpEQJQ0REUtK27lVEWj4zi10uCrA3UAGsA4qBT9y9XxPEsMXd89P9OSL1pRaGCODuG9y9xMOwClOAO6LlEmBnXe+Pu5NWpMVSwhCpW46Z/TF6xsBz0V20mNlsM/utheeU/NTMDjOzl6KBIp+NG0LjR2b2evScgkfMrGNU3tvMXrPwvJMbYh9mZt3N7OXomQyLzWxoRvZapBolDJG69QV+7+79gU3A9+Pq2rl7KXAn8DvgdHc/DJgK3Bit86i7H+7uAwlDNVwQlf8vcLe7DyDcLR7zH8CzUQtnIOFOZJGMUzNapG4fuPvCaHk+4bxGzIPR/CDgEOD56JECOVQmgUOiFkRnIB94NiofQmXy+TNwc7T8OjA1GiDvsbjPFskotTBE6rY9brmCqv9obY3mBrwdOw/i7gPcfWRUNw24OGpJXEcYwyemxtg8Hh7KdBxhNNFpZnZ+4+yGSMMoYYg0jmVAkZkdDWH4bDPrH9UVAGuiFsM5ce/5N2FEZeLLzWw/4DN3/yPwJ8IjYEUyTglDpBF4eCTw6cDNZvYm4bzDMVH1LwlPdPs38E7c235KeCjWW1R9gtsw4E0zewM4i3CuQyTjNFqtiIikRC0MERFJiRKGiIikRAlDRERSooQhIiIpUcIQEZGUKGGIiEhKlDBERCQl/x8IdQYudzUkUQAAAABJRU5ErkJggg==\n",
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pYcTo5j0RkVopYcQUFiphiIjUQgkjRgMQiojUSgkjRl1SIiK1UsKIibUw3DMdiYhIVlLCiCkshB07YPPmTEciIpKVlDBidPOeiEitlDBiYglDJ75FRBJSwohRC0NEpFZKGDFKGCIitVLCiNGItSIitVLCiNljD+jQQecwRESSUMKIp5v3RESSSlvCMLNeZjbLzJaY2dtm9tOovKuZPW9my6N5l6jczOxOM1thZovMbHC6YktKCUNEJKl0tjDKgZ+5ez/gKODHZtYPuAp40d37Ai9GrwFOAvpG00Tg7jTGlpgShohIUmlLGO6+xt0XRMtfAkuBHsA4YHq02nTg1Gh5HHC/B/8HdDaz7umKLyGNWCsiklSTnMMws2JgEDAX2Mvd10RVnwJ7Rcs9gI/j3rYqKqu+rYlmVmZmZesa+8tdI9aKiCSV9oRhZvnAI8Cl7v5FfJ27O7Bbo/25+73uXurupUWxeycaS1ERbN0K27Y17nZFRFqAtCYMM8slJIu/uPujUfFnsa6maL42Kl8N9Ip7e8+orOno5j0RkaTSeZWUAfcBS9399riqmcD4aHk88Hhc+fnR1VJHAZvjuq6ahm7eExFJqm0atz0EOA94y8wWRmX/D/gNMMPMLgA+BM6M6p4CxgArgK+A/0xjbImphSEiklTaEoa7zwEsSfXwBOs78ON0xZMSjVgrIpKU7vSOpxaGiEhSShjxOneGnBwlDBGRBJQw4pnp5j0RkSSUMKrTzXsiIgkpYVSn8aRERBKqM2GY2RlmVhAt/8LMHs3ISLJNRQlDRCShVFoYv3T3L83sWOBEws14TT+SbFPROQwRkYRSSRgV0fxk4F53fxJol76QMqyoCD7/HHbsyHQkIiJZJZWEsdrM7gHOAp4ys/Ypvq95it2LsXFjZuMQEckyqXzxnwk8C4xy901AV2BSOoPKKN28JyKSUJ1Dg7j7V8Cjca/XAE07KGBTUsIQEUmo5XYt1ZdGrBURSUgJozoNQCgiklDShGFmz5rZZWZ2cFMGlHHduoW5WhgiIlXU1sIYD3wOTDazBWZ2t5mNM7M9mii2zMjNhS5dlDBERKpJetLb3T8FpgHTzKwNcCRwEnClmW0DnnP3W5okyqamm/dERGpI6QFK7r4TeC2afmVmhcCodAaWURoeRESkhnqd9Hb39e7+l8YOJmtoxFoRkRp0lVQiamGIiNSghJFIrIXhnulIRESyRirDm+9lZveZ2dPR635mdkH6Q8ugwkIoL4dNmzIdiYhI1kilhTGNMJbUPtHrd4FL0xRPdtDNeyIiNaSSMArdfQawE8Ddy6kc8rxl0nhSIiI1pJIwtppZN8ABzOwoYHNdbzKzqWa21swWx5VNNrPVZrYwmsbE1V1tZivMbJmZZfaSXSUMEZEaUrkP43JgJrC/mf0bKAJOT+F904C7gPurld/h7v8TX2Bm/YCzgf6Erq8XzOxAd89MS0YDEIqI1JDK8OYLzOx44CDAgGXuXufj6Nz9ZTMrTjGOccDf3X078IGZrQCOINwo2PTUwhARqSGVq6RygDHAcGAk8BMzu7wBn3mxmS2Kuqy6RGU9gI/j1lkVlSWKZ6KZlZlZ2bp0faF37BgmnfQWEdkllXMY/wQmAN2AgripPu4G9gdKCA9hum13N+Du97p7qbuXFsVaAumgm/dERKpI5RxGT3c/tDE+zN0/iy2b2R+BJ6KXq4Fe8Z8ZlWWOEoaISBWptDCeNrORjfFhZtY97uVpQOwKqpnA2WbW3sx6A32BeY3xmfW2cCE880xGQxARySaptDD+D/hHNMT5DsKJb3f3PWt7k5n9DRgGFJrZKuBaYJiZlRAu0V0JXEjY2NtmNgNYApQDP87YFVIx5eUZ/XgRkWxjXsd4SWb2AeEqpre8rpWbWGlpqZeVlaVn4z/4AcyZAx9/XPe6IiLNiJnNd/fS3X1fKl1SHwOLsy1ZpF3bttCuXaajEBHJGql0Sb0PzI4GH9weK3T329MWlYiIZJ1UEsYH0dQumkREpBVK5U7v65oiEBERyW5JE4aZ3eXuF5vZP4kGHozn7mPTGpmIiGSV2loY5wMXA/9TyzoiItJK1JYw3gNw95eaKBYREclitSWMotoGGdRVUiIirUttCSMHyCfc2S0iIq1cbQljjbtf32SRiIhIVqvtTm+1LEREZJfaEsbwJotCRESyXtKE4e4bmzIQERHJbqkMPigiIqKEISIiqVHCqE15ObSyUd1FRJJRwkhm4ED46CO48cZMRyIikhVSGd68dbr8cli0CH75S+jSBX7840xHJCKSUUoYybRpA/fdB5s3w8UXQ+fOcM45mY5KRCRj1CVVm9xcePBBGDYMxo+HJ57IdEQiIhmjhFGXvDx4/HEoKYEzzoCXX850RCIiGaGEkYo994Snn4biYvjud2HBgkxHJCLS5NKWMMxsqpmtNbPFcWVdzex5M1sezbtE5WZmd5rZCjNbZGaD0xVXvRUVwXPPhXMZo0fDsmWZjkhEpEmls4UxDRhdrewq4EV37wu8GL0GOAnoG00TgbvTGFf99eoFzz8flkeMCJfdioi0EmlLGO7+MlB9PKpxwPRoeTpwalz5/R78H9DZzLqnK7YGOfBAePbZcPXUiBGwdm2mIxIRaRJNfQ5jL3dfEy1/CuwVLfcAPo5bb1VUlp0GDQpXTK1YAXfemeloRESaRMZOeru7A7s97oaZTTSzMjMrW7duXRoiS9HQoZCfD1u3Zi4GEZEm1NQJ47NYV1M0j/XnrAZ6xa3XMyqrwd3vdfdSdy8tKipKa7AiIlKpqRPGTGB8tDweeDyu/PzoaqmjgM1xXVciIpIF0jY0iJn9DRgGFJrZKuBa4DfADDO7APgQODNa/SlgDLAC+Ar4z3TFJSIi9ZO2hOHuP0hSVePRr9H5DI3uJyKSxXSnt4iIpEQJQ0REUqKEISIiKVHCEBGRlChhiIhISpQwREQkJUoYIiKSEiUMERFJiRKGiIikRAlDRERSooQhIiIpUcIQEZGUKGGIiEhKlDBERCQlShgiIpISJQwREUmJEkZDrV4NX3yR6ShERNJOCaMh9t8fHnoICgth+HC47TZYuhTcMx2ZiEijU8JoiLlz4aWX4LLLYO1auOIK6NcvJJKLL4annoJt2zIdpYhIozBvxv8Nl5aWellZWabDqPTRR/D00yFRvPACfPUV5OfDggXQt2+moxMRAcDM5rt76e6+Ty2MxrTvvnDhhfD447BhA/zud7BlC3z8caYjExFpMCWMdMnLg0MPzXQUIiKNRglDRERS0jYTH2pmK4EvgQqg3N1Lzawr8CBQDKwEznT3zzMRn4iI1JTJFsZ33L0k7sTLVcCL7t4XeDF6LSIiWSKbuqTGAdOj5enAqZkLRUREqstUwnDgOTObb2YTo7K93H1NtPwpsFeiN5rZRDMrM7OydevWNUWsIiJChs5hAMe6+2oz+xbwvJm9E1/p7m5mCW8Qcfd7gXsh3IeR/lBFRAQy1MJw99XRfC3wD+AI4DMz6w4QzddmIjYREUmsyROGme1hZgWxZWAksBiYCYyPVhsPPN7UsYmISHKZ6JLaC/iHmcU+/6/u/oyZvQ7MMLMLgA+BMzMQW+MqKAjze+6Bo46Cjh0zG4+ISAM0ecJw9/eBgQnKNwDDmzqetCopgeuvh2uvhXfegUcfDQMTiog0Q9l0WW3LYwa//CU8+WQYT6q0NAxMKCLSDClhNIWTToKyMiguhlNOgeuug507Mx2ViMhuUcJoKn36wL//DeedB5Mnw9ix8HmKI5/MmwcffJDW8ERE6pKp+zBap44dYdo0OPJIuPTS0EX1j3/UHNV2+3Z4/31YsQKWL4ef/SyUN+Nnl4hI86eE0dTM4KKLYNAgOP30cPXU5ZeH1sby5WH66CN1WYlI1lHCyJSjjw5P4jvrLLjxRujcOTyV75hj4Pzzw3JsOuqo0BoREckgJYxM2msvmDULvvgC9twztD5ERLKUEkammUGnTpmOQkSkTrpKqrmoqNBJbxHJKLUwmoN27WDGDJg5E7p3h733DlNsuXrZt74FubmZjlpEWhgljOZg2jR46SX49FNYsybM3303lG3cWHN9MygsrJlYBg8OJ9lFROpBCaM5KC1NfpXU9u3w2WchicQnlOrJZc0a+OYbGDcO8vKaNn4RaRGUMJq79u1h333DVJtbboGf/xxuuAHatg2J5ptvwjx+ubgYTjsNjjhCV22JSBVKGK1FLKHceGOY5+aGZNOuXeW8XTt45BG4+Wbo2RO+9z34/vdhyBDIyclc7CKSFcyb8ZU3paWlXlZWVq/3vvMO5OeH78VW46uvwhd/u3bJWw+ffw5PPBESx7PPwtdfh5Pop54aksd3vqMT6iLNnJnNd/fdvhu4VSYMdzj2WHj7bbjzzjAeoHpfEtiyJQzH/sgjYYj2rVtDshk3LiSOjh2hQ4cwj1+uPs/L0w9YJIsoYeym996DCRNgzpzw/XfPPeHGa0li27aQNM44o37v79ChaiI5/XS46abGjVFEUqKEUQ8VFfDb38I114TuqVmzYMCAxouvRaqoCC2NbdtCF1dsHr9c13zq1LCtP/yh8txJ/HmU+ClReXxZbq5aLyK7qb4Jo1Wf9M7JCSOHn3RSuIjooINCubu+g5LKyQnjXu25Z/230akT3HFHGLW3MeTm1p502rYN61SfYuUFBdC1a5i6dKlcjn9dUKBfCmn1WnULI5FNm2DUqPAY7jFjGnXTEuMeTq7v2FF5SW/8lKisIeXl5eGzqk/l5aH+yy/DDZDbtyePOScneUJ59VVYsiT0aebnwx571H/eoUM459O+fZjXdoGCSD2phdFI1q8PvSYnnxySxuTJmY6oBTILX7bZZtu2kDhi0+efJ3/96achSXz+OWzeHN5/3HHhQoGtW8N8w4aqr7durd9zTvLyqiaR+CmVst193/btMH16ZcstUeutrq7C2l7rEu1mSwmjmgMOCI/fPuKIcAVV165wySWhrqwsfDfk54ceioKCcFmu/gFsITp0gB49wrQ7ysvDvG0df07u4TLl+ARSff7114mn7duTl3/xBaxdm3zdbOtFaNNm95NMfRJToq7JNm1Cwqo+NVZ5C/8yUJdUEjffDFdfHYZg+uSTUPbd74ZbFKqvd+WVaQlBpOHcQ/dbsqSTLBHl54dxx2Lvr637r3pZXa8ba53Y6x07Mv1TriqdCSm+/IwzwqWe9dBiuqTMbDTwv0AO8Cd3/00m4vj5z2HSpPC3E3P77SE5fPllmGbMgG7dwj94Y8dWHsvY/Pzz4eyzQ8+EbkeQjDCr/A+7vu9v3z5M2So+qSVLKtu3h+7AioqaU2OVN+a2EpVX34cvv2zyH3VWJQwzywF+D4wAVgGvm9lMd1+SiXjatAlf9DGxJ6bGxAZ+jXVhx87hxo73V1+F8mHDYPHi8DfbuXOYRoyAu+4K9VdeGcYPLC8P7y0vD6NxXHZZqDcL0w03VL7+3vfCVV3vvw8PPVQZUywhnXlmGBZq2TL45z9h5crQpXbRRSGZjR0butSWLQs3MLZpUzXhnXBC+I744ANYtaqyrrw8lB9+ePicd98N9fGxQ2iNAbzyCqxYEcpj67RvDz/6UfgZbdlSM/ZYj0L8zzC+PnY17c6dVRN6TKz3YefO8F1RXW5u2JeKiqr/nMZ+zrGei507K3tzYnUNSfjxjXmzsP3YKY34urZtK+vj91v/bCQRnxTz8zMdTcvm7lkzAUcDz8a9vhq4Otn6hx12mDcH99/vftNN7lde6T5xovuZZ7pff31l/cCB7sXF7vvv737QQe79+rlPmlRZH75Oqk6PPBLqnn46cf1zz4X6GTMS17//fqi/6abE9WvXhvqrr05cX1ER6i+8sGZdhw6VsZ9zTs36b30r1H36aeJt33JLqF++PHH9H/4Q6hcsSFz/5z+H+pdeSlz/2GOh/sknE9e/+GKo/9vfEtfPnRvq//Qn9zZt3HNyqk5Ll4b6229P/P6PPw71112XuH7TplB/xRWJ68vLQ/1//3fVz2/b1r1Tp8qf/fjx7u3bu+flhalDh/B7FnP22e4FBWHac88wDRpUWT92rHuXLpVT167uxx9fWT9ihHthYdXplFMq64cMCcc6fvqP/6isHzTIfe+9w9S9e5guvLCy/qCD3PfZJ0w9eoTpiisq6/fbz71Xr6rTddeFuq1bQ338VFzsftttoX7dOvfevWtO99wT6j/4wL1Pn5rTAw+E+rffdj/ggJpT7Hdr3jz3vn1rTs8/H+pnzw77V3167bXK382DD645LVoU6t991xsEKPN6fEdnVQsD6AF8HPd6FXBk/ApmNhGYCLBvXSO0Zonzzqu9fuHC2ut37qz8T9ij/0Rj51dHjKj8LzxWB5U9CKedFlqu7uEKsNh/tbExtC64IFwRFmvpxuadO1fWDx9e2Qpet66yDkIr6Ac/CPHETzG33x7GO8zJqVmfnw+33VYz9uOOC/Nu3eDWW2vWH3VUmO+zTziHVN2gQWFeXAy//nXN+m9/O8wPOqiyPvZ1DNCnT5gPGADXX1/16xoqz4kPHBjOc8XeH2sBdOtWGeevfhWW41sJsVtYhg0L26/egogdu5EjK/9hjv/82HqjR1debBarjx/ma/ToytELYvXx/4CfeGJ4VEpsu+7hMSrx9fvtV1kXv+8Qfi/iW9wA++9fuTxiRM0bYfv3r1q/aVPVYzt4cOXyyJHhwrX4+vj3Dx9e83x+LJ6cnPDzjYmtV1wc5rm5YXig6mL716EDHHNMzfrYz7Njx3BhTHWxY5+fn/iJBLG/nYICKCmpWR87Pp07w6GH1qzv0CHMM9VDmFUnvc3sdGC0u/8wen0ecKS7X5xo/XSe9BYRaanqe9I7257pvRroFfe6Z1QmIiIZlm0J43Wgr5n1NrN2wNnAzAzHJCIiZNlVUu5ebmYXA88SLqud6u5vZzgsEREhyxIGgLs/BTyV6ThERKSqbOuSEhGRLKWEISIiKVHCEBGRlChhiIhISrLqxr3dZWbrgA+TVBcC65swnKai/Wp+Wuq+ab+an9i+7efuRbv75madMGpjZmX1uZMx22m/mp+Wum/ar+anofumLikREUmJEoaIiKSkJSeMezMdQJpov5qflrpv2q/mp0H71mLPYYiISONqyS0MERFpREoYIiKSkhaXMMxstJktM7MVZnZVpuNpKDNbaWZvmdlCMyuLyrqa2fNmtjyad8l0nHUxs6lmttbMFseVJdwPC+6MjuEiMxucfMuZlWS/JpvZ6uiYLTSzMXF1V0f7tczMRmUm6rqZWS8zm2VmS8zsbTP7aVTeEo5Zsn1r1sfNzPLMbJ6ZvRnt13VReW8zmxvF/2D06AjMrH30ekVUX1znh9Tnua7ZOhGGRH8P6AO0A94E+mU6rgbu00qgsFrZLcBV0fJVwM2ZjjOF/TgOGAwsrms/gDHA04ABRwFzMx3/bu7XZOCKBOv2i34n2wO9o9/VnEzvQ5L96g4MjpYLgHej+FvCMUu2b836uEU/+/xoOReYGx2LGcDZUfkU4L+j5YuAKdHy2cCDdX1GS2thHAGscPf33f0b4O/AuAzHlA7jgOnR8nTg1MyFkhp3fxnYWK042X6MA+734P+AzmbWvUkC3U1J9iuZccDf3X27u38ArCD8zmYdd1/j7gui5S+BpUAPWsYxS7ZvyTSL4xb97LdEL3OjyYETgIej8urHLHYsHwaGm8WeGJ9YS0sYPYCP416vovZfhObAgefMbL6ZTYzK9nL3NdHyp8BemQmtwZLtR0s4jhdHXTNT47oMm+V+RV0Vgwj/sbaoY1Zt36CZHzczyzGzhcBa4HlCa2iTu5dHq8THvmu/ovrNQLfatt/SEkZLdKy7DwZOAn5sZsfFV3poTzb7a6Nbyn5E7gb2B0qANcBtGY2mAcwsH3gEuNTdv4iva+7HLMG+Nfvj5u4V7l4C9CS0gg5uzO23tISxGugV97pnVNZsufvqaL4W+Afhl+CzWHM/mq/NXIQNkmw/mvVxdPfPoj/cncAfqey+aFb7ZWa5hC/Uv7j7o1FxizhmifatpRw3AHffBMwCjiZ0D8aerhof+679iuo7ARtq225LSxivA32jqwLaEU7kzMxwTPVmZnuYWUFsGRgJLCbs0/hotfHA45mJsMGS7cdM4PzoypujgM1x3SBZr1rf/WmEYwZhv86Ork7pDfQF5jV1fKmI+rLvA5a6++1xVc3+mCXbt+Z+3MysyMw6R8sdgBGE8zOzgNOj1aofs9ixPB34V9RqTC7TZ/bTcKXAGMJVD+8B12Q6ngbuSx/C1RlvAm/H9ofQz/gisBx4Aeia6VhT2Je/EZr5Owj9qBck2w/C1R6/j47hW0BppuPfzf36cxT3ouiPsnvc+tdE+7UMOCnT8deyX8cSupsWAQujaUwLOWbJ9q1ZHzfgUOCNKP7FwK+i8j6EBLcCeAhoH5XnRa9XRPV96voMDQ0iIiIpaWldUiIikiZKGCIikhIlDBERSYkShoiIpEQJQ0REUtK27lVEWj4zi10uCrA3UAGsA4qBT9y9XxPEsMXd89P9OSL1pRaGCODuG9y9xMOwClOAO6LlEmBnXe+Pu5NWpMVSwhCpW46Z/TF6xsBz0V20mNlsM/utheeU/NTMDjOzl6KBIp+NG0LjR2b2evScgkfMrGNU3tvMXrPwvJMbYh9mZt3N7OXomQyLzWxoRvZapBolDJG69QV+7+79gU3A9+Pq2rl7KXAn8DvgdHc/DJgK3Bit86i7H+7uAwlDNVwQlf8vcLe7DyDcLR7zH8CzUQtnIOFOZJGMUzNapG4fuPvCaHk+4bxGzIPR/CDgEOD56JECOVQmgUOiFkRnIB94NiofQmXy+TNwc7T8OjA1GiDvsbjPFskotTBE6rY9brmCqv9obY3mBrwdOw/i7gPcfWRUNw24OGpJXEcYwyemxtg8Hh7KdBxhNNFpZnZ+4+yGSMMoYYg0jmVAkZkdDWH4bDPrH9UVAGuiFsM5ce/5N2FEZeLLzWw/4DN3/yPwJ8IjYEUyTglDpBF4eCTw6cDNZvYm4bzDMVH1LwlPdPs38E7c235KeCjWW1R9gtsw4E0zewM4i3CuQyTjNFqtiIikRC0MERFJiRKGiIikRAlDRERSooQhIiIpUcIQEZGUKGGIiEhKlDBERCQl/x8IdQYudzUkUQAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5621,12 +5647,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 82,
+   "execution_count": 90,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5665,12 +5691,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 83,
+   "execution_count": 91,
    "metadata": {},
    "outputs": [
     {
      "data": {
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+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5687,7 +5713,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 92,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -5696,7 +5722,7 @@
    "outputs": [
     {
      "data": {
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+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5713,7 +5739,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": 93,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -5723,7 +5749,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 864x288 with 3 Axes>"
       ]
@@ -5741,7 +5767,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": 94,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -5750,7 +5776,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 864x432 with 2 Axes>"
       ]
@@ -5773,7 +5799,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 87,
+   "execution_count": 95,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -5782,7 +5808,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 864x432 with 2 Axes>"
       ]
@@ -5842,12 +5868,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
+   "execution_count": 96,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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kgVGUKRJKv3Er2HDwjGNZRETEM6mQEo/z4oz1pKRn8Eb3Bo7fHDM8LITJg6IICwmi75jl7DiW4GgeERHxLCqkxKPMiT3E3A1HeOymmlQpWdDpOACUL5qfyYOiMAZ6j45m/6lEpyOJiIiHUCElHuNMYiovztxAvXKFGdS6qtNx/qZaeCEmDojibHIavUdHczQ+yelIIiLiAVRIicd4c84mTp5N4e2eDQkK9LwfzbrlCjOuf3OOxifTZ/RyTiemOB1JREQc5nmfVuKXlu44zrcr9jGoTVXqly/idJyLalq5GF/2jWTX8bPcO24FCclpTkcSEREHqZASxyWlpvPstFgqlyjAozfUdDrOZbWqUZJP727M+gNnGDwhhqTUdKcjiYiIQ3KlkDLGjDXGHDXGrM+N7Yl/+XD+NnafSOTN7g3Iny/Q6TjZ0qFeGd67oxF/7jrB0K9XkZqe4XQkERFxQG71SI0HOubStsSPrD9whi//2Mk/IivQskZJp+Nckdsal+fVbvWZv+koT0xZS3qGdTqSiIi4Wa5MWmytXWSMqZIb2xL/kZaewfBp6yhWIB/P3VLX6Tg50rtFZeKT0nj7580UDAnije71Hb/3lYiIuE+uFFLZYYwZAgwBqFSpkrt2Kx5szOJdrD8Qx2f3NKFIgWCn4+TYP6+rTnxSKp8t2EHh0CCGd6qtYkrETXYeS2DY1HXUK1eEx26qSZH83nssEe/ktkLKWjsKGAUQGRmpMRA/t/v4Wd6ft5Wb6pamU/0yTse5ak/dXIuE5DS+WLSTsNAghl4f4XQkEZ/32+YjPPLtGrCwcs8pZq09yLBOtbm9SQUCAvTHjLiHrtoTt7PW8uz0WPIFBvBqN98YCjPG8FKXevRoXJ53f9nK+CW7nI4k4rOstYz4fTsDJ8RQqXgB5jzahlkPtaZKyYI8/f06bh+5lPUHNDemuIcKKXG7/6zcz9IdJxh+S23KFAl1Ok6uCQgw/Pv2hnSoW5qXZm3k+5X7nY4k4nPOJqfx4NereGfuFro0LMf397ekQrEC1CtXhP/cdy3v3tGIPScS6frpYl74YT1nElOdjiw+Lrduf/ANsAyoZYzZb4wZmBvbFd9zND6J12ZvpHmV4vRq5nvnygUFBvDJ3Y1pXaMkT3+/ljmxh5yOJOIz9pw4S4/PlvLz+sM8d0sdPrrrmr/dMiUgwHB70wr89uR19L22Cl9F76H9ewuYsmIfGbqqVvKIsdb9P1yRkZE2JibG7fsV5z341SrmbTzCnEfbUD28kNNx8kxiSuacfLEHzjD63ma0qxnudCQRr/bHtmMM/Xo1AJ/0akzbbPxObTwYx4sz1hOz5xSNKxXl1W71PXrmBPFcxpiV1trICy3T0J64zS8bDvNj7CEevqGGTxdRAAXyBTGuf3MiSoVx36QYVuw+6XQkEa9krWXUoh3cO3Y5ZQqHMnNoq2wVUZA5P+Z/7r+W9+5oxL6T5+jy6WKe/yFW82RKrlKPlLhFXFIqN72/kGIF8jHrodYEe+CkxHnheEIy//hiGcfikvlmSAv9NSxyBc6lpDN82jpmrDnILQ3K8M7tjSgYkrOLzeOSUvlg3lYmLN1N0QL5ePrmWvwjsqKu7pNsUY+UOO7tOZs5Fp/MWz0b+k0RBVCyUAiTB0ZROH8wfccuZ/vReKcjiXiF/acS6fn5UmauPchTN9dixN1NclxEARQODeZfXerx48NtqB5ekOHTYunx+VJi9+vqPrk6/vOJJo5ZvuskX0XvpX+rqlxTsajTcdyuXNH8TB4URYAx9B69nH0nE52OJOLRlu44TtdPl7DvVCJj723Gg+1r5NptUuqULcyU+67lgzsbsf/UObqOWMyz02M5dVbDfZIzKqQkTyWlZnbNVyiWnyc61HQ6jmOqlizI5EHNOZeaTu8x0RyNS3I6kojHsdYybsku+oxZTvGC+ZjxYCva1y6V6/sxxtC9cQV+e7Id/VtW5bsV+7j+vQV8s3yvru6TK6ZCSvLUiN+3s/PYWd7o3oAC+dx2I32PVLtMYcb3b8ax+GR6j4nWX8AiWSSlpvPkf9bx8qyNtK9ViukPtKRaHl+UUjg0mBe71OXHh1sTUTqMZ6bF0v2zJazddzpP9yu+RYWU5JnNh+P4fMEOejQpn+2rbHxd40rFGH1vJLtPJNJv3HISktOcjiTiuENnznHnF8uYumo/j9wQwag+TQkLdd+cebXLFOa7IS348M5rOHgmids+W8Iz0zTcJ9mjQkryRHqGZdjUWIrkD+aFW+s6HcejtKxeks/ubsKGg3EMHL+CpNR0pyOJOGbF7pN0+WQx248m8EWfpjx2U01HrqQzxnBb4/L89kQ7BraqypSYfbR/bwFfRe8hXcN9cgkqpCRPjF+6m7X7TvNil7oUK5jP6Tge58a6pXnvH41YvvskD3y1ipS0DKcjibiVtZbJf+6h16g/CQsN5ocHW3FzPecnMA8LDeb5znX56eE21CodxnPT19P9syWs0XCfXIQKKcl1+04m8u7cLVxfuxRdG5VzOo7H6nZNeV6/rQG/bT7K41PW6K9e8RvJaek8Oz2W539YT+uIkvzwYCsiSoc5HetvapUJ49shLfjorms4fCaJ7p8tYfjUdZzUcJ+cx7/P/pVcZ63luR/WE2Dg1dvq59oly77q7qhKxCel8uaczRQKCeLNHg30molPOxqXxP2TV7Jq72kebF+dx2+qRaCH3hTTGEO3a8pzfe1SfPzrNsYt2c2c9Yd56uZa9GpeyWNzi3upR0py1fTVB1i09RhPd6xN+aL5nY7jFe5rV52h7Wvw7Yp9vP7jJpyYbUDEHVbtPUXnTxaz6VA8I+5uwlM31/aKYiQsNJjnbq3LnEfaULdsYZ7/YT23jVjC6r2nnI4mHkCFlOSa4wnJvDJ7I00qFaV3i8pOx/EqT3SoSb+WVRi9eBcf/7rd6TgiuW7Kin3c9cWfhAQHMO2BltzasKzTka5YROkwvh4cxce9GnM0Ponuny1l2PfrOJGQ7HQ0cZCG9iTXvDp7I2eT03irZ0Ov+CvTkxhjeLFzXRKS0/hg/lbCQoMY0Lqq07FErlpqegavzt7IxGV7aF2jJJ/0auzVF6AYY+jaqNx/h/vGLt7FzxsO82SHmtwdVVnHPj+kHinJFb9vPsqMNQd5sH0NanrYSaPeIiDA8FaPBnSqX4ZXZm9kyop9TkcSuSrHE5K5Z3Q0E5ftYUjbaozv38yri6isCoUE8ewtdZjzSBvqlSvMCzM20G3EYlZpuM/vqJCSq5aQnMZz02OJKFWIf15X3ek4Xi0oMIAP77qGNhElGT5tHT+uO+R0JJEcid1/hq6fLGbtvtN8dNc1PHtLHYJ8cMLyiNJhfDUoik96NeZ4fAo9PlvKU/9Zy3EN9/kN3/upFrd7d+4WDsUl8VbPhoQEBTodx+uFBAXyRZ+mNKlUjEe/W82CLUedjiRyRaat2s/tI5dijGHqP1vS7ZryTkfKU8YYujQqx69PtOO+dtWYvvoA17+7gInLduu2Jn5AhZRclZV7TjFh2W76tqhM08rFnI7jMwrkC2Js/2bULB3G/ZNXsnzXSacjiVxWmut8qMenrKVxpaLMHNqK+uWLOB3LbQqGBPFMpzr8/GgbGlQowoszNtDlk8Ws3KPfX1+mQkpyLCUtg+FT11G2cChPdaztdByfUzg0mIkDmlO+aH4GjF9B7P4zTkcSuaiTZ1PoO3Y5Yxbvol/LKkwaGEWJQiFOx3JEjVJhTB4YxYi7m3AqMYWeny/jSQ33+SwVUpJjny3YzrajCbzWvT6FQnQBaF4oUSiEyYOiKJI/mL5jo9l2JN7pSCL/Y+PBOLp+upiYPad45/aGvNS1HsE+eD7UlTDGcGvDssx/vB33t6vOjDUHaP/uAsYv2UVauqaE8iX+/ZMuObbtSDwjft/uugy4tNNxfFrZIvn5alAUQYEB9B4Tzb6TiU5HEvmvWWsP0uPzJaSlW6bcdy13RFZ0OpJHKRgSxPBOtfn50bZcU7EoL83aSJdPlxCzW8N9vkKFlFyxjAzLsKnrKBgSxItd6jodxy9UKVmQyQOjSE7L4O7Rf3L4TJLTkcTPpWdY3pqzmYe+WU39ckWY+VArrqlY1OlYHqt6eCEmDmjOZ/c04UxiCrePXMbjU9ZwLF7Dfd5OhZRcscnRe1i19zQvdq5LST89B8IJtcqEMaF/c04mpNB7TLQmTxXHnElMpf/4FYxcuIN7oirx9eAWlAoLdTqWxzPGcEuDssx/oh0PXFedWWsPcv27Cxin4T6vpkJKrsiB0+d4e85m2kSUpHtj376k2RM1qliU0fc2Y9/JRO4du5y4pFSnI4mf2Xoknq4jFrNsx3He6N6A17s3IF+QPkquRIF8QTzd0TXcV6koL8/aSOdPFuvqXC+ln37JNmstz0+PJcPCG90bYIymQnDCtdVLMLJ3UzYdimPQ+BjOpaQ7HUn8xM/rD3HbiCUkpqTz7ZAW3B1VyelIXu2v4b6RvZsQn5TGP75YxuPfreFovIbuvYkKKcm2WesO8fuWYzzRoSYVixdwOo5fa1+7FB/ceQ0r9pzk/skrSUnTsIDknYwMy/u/bOH+yauIKB3GrKGtaVq5uNOxfIIxho71yzLv8bY82L46s9cd4oZ3FzJmsYb7vIUKKcmWU2dTeHnmBhpVKEL/VppM1xN0aVSON7s3YOHWYzz23RrdQVnyRFxSKoMnxvDxb9u5o2kFvhvSgjJFdD5UbiuQL4inbq7N3Mfa0rhyMV6dnTncF73zhNPR5DJUSEm2vPbjJs6cS+Wtng01u7kHuat5JZ6/tQ4/xh7imWnryFAxJblox7EEbhuxhIVbj/FKt3r8+/aGhAZrGqi8VLVkQSb0b8bI3k2JT0rjzlF/8ui3qzkap+E+T6W7KMplLdp6jKmr9jO0fQ3qlC3sdBw5z6A21YhLSuPjX7dRKCSYFzrX0flrctXmbzzCY9+tIV9QAJMHRdGiWgmnI/mNzOG+MrSrGc5nC7bzxcKdzN90lEdvjODellX8/mannkbvhlxSYkoaz06PpVp4QYZeX8PpOHIRj90YQf9WVRi7ZBcfzt/mdBzxYhkZlo9/3cagiTFULlmAmQ+1VhHlkPz5AnmiQy3mPtaWyCrFeO3HTXT+eDF/arjPo6iQkkt6/5et7D91jrd6qEvfkxljeOHWutzRtAIf/bqN0X/sdDqSeKGE5DQe+GoV78/bSvfG5fn+/paUL5rf6Vh+r2rJgozr14xRfZqSkJzGXaP+5JFvV3NEw30eQUN7clFr951m7JJd3BNVieZVdYWOpwsIMLzVsyFnU9J47cdNhIUGcWczXZ4u2bP7+FmGTIph+9EEnr+1DgNbV9UQsQcxxtChXhnaRITz+YLtjFy0k/kbj/DojTXp10rDfU7SKy8XlJqewbCp6wgPC2FYp9pOx5FsCgwwfHhnY9rVDGf4tFhmrzvodCTxAgu3HqPrp4s5Gp/MxAFRDGpTTUWUh8qfL5DHO9Ri3mNtaV61OK//tIlbPvqDZTs03OcUFVJyQaMW7WTz4Xhe7VafwqHBTseRK5AvKICRvZvSrHJxHv12Db9vPup0JPFQ1lpGLtxB/3HLKVc0P7OGtqZ1REmnY0k2VC5RkLH9mvFl30jOpabT68s/eeib1ZqH0wEqpOR/7DiWwEe/buPWBmXpUK+M03EkB/LnC2R0v0hqlw3j/skrdXKq/I/ElDQe+mY1b83ZTKcGZZn2QEvdaNfLGGO4qW5p5j/ejodviGDuhsPc8N4CRi3aQapu5uk2uVJIGWM6GmO2GGO2G2OG58Y2xRkZGZZnpsUSGhTAv7rWdTqOXIXCocFMHBBFpeIFGDh+BWv3nXY6kniIfScT6fn5Mn6MPcSwjrX5tFdjCuTTKbPeKjQ4kMdvqsm8x9rSoloJ3vhpM50++oOl2487Hc0vXHUhZYwJBEYAnYC6QC9jjD6BvdQ3K/ayfNdJnr+1rmZz9wHFC+Zj8qAoihfKx73jlrPlcLzTkcRhS7Yfp8unizlwKpFx/Zrxz+uq63woH1G5REHG9GvG6L6RJKelc/foaIZ+vUrDfXksN3qkmgPbrbU7rbUpwLdAt1zYrrjZ4TNJvPXTZlpWL8EdkRWcjiO5pHThUL4a2IKQoAB6j4lmz4mzTkcSB1hrGbN4F33HLie8UAgzhrbmulqlnI4leeDGuqWZ91g7Hr0xgnkbj3D9ewsYuXCH5uTMI7lRSJUH9mV5vN/1PfEi1lpemLGelPQM3uzRQH+h+phKJQoweWAUaekZ3DM6mkNnzjkdSdwoKTWdJ6as5dXZG7mhdimmP9iKqiULOh1L8lBocCCP3liTeY+1o2X1Epnnwn20iCUa7st1bjvZ3BgzxBgTY4yJOXbsmLt2K9n08/rDzNt4hMdvqknlEjrA+qKI0mFMHBDF6cRUeo+O5kRCstORxA0Onj7HHSOXMW31AR6/qSYjezelUIjOh/IXlUoUYPS9zRjbL5LUdMs9o6N58KtV+mMqF+VGIXUAqJjlcQXX9/7GWjvKWhtprY0MDw/Phd1KbjmTmMqLMzdQr1xhBrau6nQcyUMNKhRhzL2R7D91jr5jlxOXlOp0JMlD0TtP0OWTxew6fpYv+0by8A0RBGjScb90fe3S/PJYWx67sSbzNx3hhvcW8vkCDfflhtwopFYAEcaYqsaYfMBdwMxc2K64yRs/beLk2RTe7tmQIN0d1+dFVSvByD5N2XoknoHjV3AuJd3pSJLLrLVMWrabe0ZHUyR/MD882Iqb6pZ2OpY4LDQ4kEdujGD+4+1oVaMkb/+8mY4fLeKPbRoluhpX/alprU0DhgJzgU3AFGvthqvdrrjH0u3H+S5mH4PaVKV++SJOxxE3aV+rFB/e2ZiVe05x3+SVJKepmPIVyWnpDJ8aywszNtC2Zjg/DG1FjVKFnI4lHqRi8QJ82TeScf2akZ5h6TNmOQ98tZKDpzXclxPGWuv2nUZGRtqYmBi371f+Lik1nZs/XATA3EfbalJiPzRlxT6enrqOTvXL8EmvxuqR9HJH4pK4b9JK1uw7zUPX1+CxG2tqKE8uKSk1nS8X7WTEgu0YDEOvr8GgNlUJCdLnQVbGmJXW2sgLLdNR0499OH8be04k8maPBiqi/NQ/mlXkhc51mbP+MMOnxZKR4f4/rCR3rNxzis6fLGbrkXg+v6cJT3SopSJKLis0OJCHbohg3mPtaBNRknfmbqHTh3+waKuG+7JLhZSfWn/gDF/+sZM7IyvSsrrm1vJnA1tX5dEbI/h+5X5emb0RJ3qp5ep8u3wvd41aRv7gQKY/0IpODco6HUm8TMXiBRjVN5Lx/ZuRYS19xy7n/kkrOaDhvsvSNbB+KC09g2FT11G8YD6evaWO03HEAzxyQwTxSWmMWbyLsNAgnuhQy+lIkg0paRm8MnsDk//cS5uIknzSqzFFC+RzOpZ4setqlWLuYyX4ctFOPv19OwveO8pD10douO8SVEj5oTGLd7HhYByf39OEIgWCnY4jHsAYw/O31uFschqf/LadsNAghrSt7nQsuYRj8ck88NVKVuw+xX3tqvH0zbUJ1FCe5IKQoECGXh/BbY3L89rsTbwzdwvfr9zPv7rU1d3wL0BDe35m9/GzvD9vKx3qlqZj/TJOxxEPYozh9e4N6NywLG/8tJmvo/c6HUkuYu2+03T5ZDGxB87wca/GPNOpjoooyXUVihVgZJ+mTBjQHIB+41Zw36QY9p9KdDiZZ1Eh5UestTw7PZZ8gQG80q2+poGR/xEYYHj/H9fQvlY4z/0Qy4w1/3NvXXHY9yv3c8cXywgMMEz9Z0u6NirndCTxce1qhvPzo2146uZaLNp6nBvfX8gnv24jKVW3TQEVUn7lPzH7WbrjBMNvqU2ZIqFOxxEPlS8ogM97N6V5leI8MWUtv2464nQkAVLTM3hp5gae/M9amlYqxqyHWlOvnO79Ju4REhTIg+1rMP+JdrSvVYr35m2l44eL+H3LUaejOU6FlJ84Gp/Eaz9upHnV4vRqVsnpOOLhQoMDGX1vJPXKFeafX61i6Q5NdOqkEwnJ9B2znPFLdzOgVVUmDWxO8YI6qVzcr3zR/HzeuymTBjYnwBj6j1vB4Ikx7Dvpv8N9KqT8xMszN5KUlsGbPRro3jKSLWGhwYzv35wqJQoweEIMq/eecjqSX1p/4AxdP13Cyr2neO+ORrzYpa5unCqOaxMRzpxH2/B0x1os3pY53Pexnw736bfRD/yy4TA/xh7ikRsiqB6uqSIk+4oVzMfkgVGUKBRCv3Er2Hw4zulIfmXGmgPcPnIpGdby/f3X0rNpBacjifxXSFAgD1xXg1+faMeNdUrz/ryt3PzhIn7b7F+nA6iQ8nFxSam8MGM9tcuEMaRtNafjiBcqVTiUrwZFkT84kN6jl7P7+FmnI/m89AzLmz9t4pFv19CwfFFmDm1NwwpFnY4lckHliuZnxD1NmDwwisAAw4DxMQya4D/DfSqkfNzbczZzLD6Zt3s2JFjDAZJDFYsXYPKg5mRYyz2jozW5aR46nZhCv3HL+WLRTvpeW5nJg6IIDwtxOpbIZbWOKMnPj7RleKfaLN2ROdz34fytPj/cp09WH7Z810m+it7LgFZVaVSxqNNxxMvVKBXGxAHNiTuXSu8x0RxPSHY6ks/ZfDiOrp8uIXrnSd7q0YBXutUnX5AO0+I98gUFcH+76pnDfXVL8+H8bXT4YJFPX/2r31AflZSazvCp66hQLD+Pd6jpdBzxEfXLF2Fs/2YcPH2OvmOWc+ZcqtORfMZPsYfo8dlSklLT+WZIC+5qrqtrxXuVLZKfEXc34atBUeQLCmDghBgGjl/B3hO+N9ynQspHffrbdnYeP8sb3RtQIJ9mApLc06xKcb7oE8m2o/EMGL+CxJQ0pyN5tfQMyztzN/PAV6uoVSaMWQ+1pmnlYk7HEskVrWqU5KeH2/BMp9os23mCGz9YyAfzfGu4T4WUD9p0KI6RC3fQs0kF2tYMdzqO+KB2NcP5+K7GrN57ivsmrSQ5zXcOiu505lwqgyfGMOL3HdwZWZFvh7SgdGHdLFd8S76gAO5rV53fnriOm+uV4aNft3HTBwuZv9E3hvtUSPmY9AzL8KnrKJI/mOdvreN0HPFhnRqU5d+3N+KPbcd5+JvVpKVnOB3Jq2w/Gk/3EUtYtPUYr95Wn7d6NiAkKNDpWCJ5pkyRUD7p1ZivB0cREhTIoIkxDBi/gj0nvPtKYBVSPmbckl2s3X+Gf3WtRzHd+Vjy2O1NK/BSl7rM3XCEp79fR0aGdTqSV5i38Qi3jVhKXFIqXw9uQZ8WlTX3pfiNltVLMueRNjx3Sx2id57gpg8W8f4vWziX4p092zp5xofsO5nIe79s5frapejSsKzTccRP9GtVlfikNN6bt5VCoUG83LWeioKLyMiwfPzbNj6cv42GFYowsndTyhXN73QsEbcLDgxgcNtqdL2mHK//uImPf9vOtNUHeLFzXW6qW9qrjiHqkfIR1lqenR5LgIHXbqvvVT+E4v2GXl+DIW2rMXHZHt79ZYvTcTxSfFIq901eyYfzt9GjSXmm3Hetiijxe6ULh/Jxr8Z8M7gFBfIFMmTSSvqPX+FVN/5VIeUjpq8+wB/bjjOsU20dnMXtjDE806k2vZpXYsTvOxi5cIfTkTzKzmMJdP9sKb9tPsqLnevy3h2NCA3W+VAif7m2egl+fLgNz99ah5jdp+jwwSLe85LhPg3t+YDjCcm8MnsjTSoVpXdUZafjiJ8yxvDabfVJSE7jrTmbKRQSRO8W+nn8ffNRHv52NUEBhkkDmtOyRkmnI4l4pODAAAa1qUbXRuV446dNfPLbdqatOsCLXerSwYOH+9Qj5QNembWRxOR03u7ZkIAAz/xBE/8QGGB4/x+NuKF2KV6YsZ4Zaw44Hckx1lo+W7CdARNWULFYAWYOba0iSiQbShUO5cO7GvPtkBYUCgnivkkr6TduBbs8dLhPhZSX+23zEWauPciD7WsQUTrM6TgiBAcGMOKeJrSoWoLHp6xlno/cK+ZKJKakMfTr1fz75y10aViOqf9sScXiBZyOJeJVWlQrweyHW/NC57qs3HOKmz9YxDtzN3vcTYCNte6/XDkyMtLGxMS4fb++JiE5jQ7vL6RQaBCzH2qjObnEoyQkp3HP6Gg2HYpjXL9mtPKT3pi9JxIZMimGrUfiGd6pNoPbVPPYIQkRb3E0Lok352xm+uoDlC+anxc61+HmemXc9rtljFlprY280DJ98nqxd+du4VBcEm/2aKgiSjxOoZAgJvRvRtUSBRk8MYaVe045HSnPLd52nK4jFnPoTBLj+zdnSNvqKqJEckGpwqF8cOc1TLnvWsJCg7h/8ir6jl3OzmMJTkdTIeWtVu45xYRlu7n32iqal0s8VtEC+Zg0sDmlwkLoP245Gw/GOR0pT1hr+XLRTvqOjaZ0WCgzh7bS9EwieaB51eLMfqg1L3auy5q9p7n5w0X8uO6Qo5lUSHmh5LR0hk1dR9nCoTx5cy2n44hcUqnCoUweFEXBkCD6jo32iL8gc9O5lHQe/W4Nr/+0iQ51yzDtgZZULlHQ6VgiPisoMIABravy65PtuL1pBZpVcbYzQYWUF/p8wQ62H03g9R4NKBSiO1iI56tQrACTB0VhLfQeHc2B0+ecjpQr9p9K5PaRS5m59iBPdqjJ572bUFC/kyJuUSoslDd7NKSUwxN9q5DyMtuOxDPi9+10u6Yc7WuVcjqOSLZVDy/ExIHNiU9Oo/foaI7FJzsd6aos23GCrp8uYe+JRMbcG8nQ6yN0PpSIH1Ih5UXSMyzDpq6jUEgQL3au63QckStWr1wRxvdvxuEzSfQZE82ZxFSnI10xay0Tlu6m95hoihUI5oehrbi+dmmnY4mIQ1RIeZHJf+5h1d7TvNC5LiUKhTgdRyRHmlYuzqi+Tdl57Cz9xi/nbLJn3RPmUpJS03nq+3X8a+YG2tcqxQ8PtqJ6eCGnY4mIg1RIeYkDp8/x758307ZmON0bl3c6jshVaRMRzse9GrNu/xmGTIohKdXz59M6dOYcd36xjO9X7ueRGyIY1acpYaHBTscSEYepkPIC1lqenx5LhoXXb6uv8zDEJ3SsX4Z/92zIku0neOib1aSmZzgd6aJidp+kyydL2H40gS/6NOWxm2pqOiYRAVRIeYWZaw/y+5ZjPHlzLU0zIT6lZ9MKvNKtHvM2HuHp79eRkeH+mRYu56voPfT68k8KhQQy/cFW3FyvjNORRMSD6DpdD3fybAovz9pIo4pF6deyitNxRHJd32urEJ+Uxjtzt1AwJJBXu3lGr2tKWgb/mrmBb5bv5bpa4Xx0Z2OKFNBQnoj83VUVUsaYO4CXgDpAc2utJtDLZa/9uJG4c6m83bMBgRpKEB/1wHXViUtK5YuFOwkLDWZYx9qO5jkal8Q/v1rFyj2neOC66jzRoZZ+/0Tkgq62R2o90AP4IheyyHkWbT3GtFUHeOj6GtQuU9jpOCJ5xhjD8I61SUhK4/MFOygUEsSD7Ws4kmXNvtPcNymGuHNpfHp3Yzo3LOdIDhHxDldVSFlrNwEe0Q3va84mp/Hs9FiqhRd07ANFxJ2MMbzarT5nkzOH+cJCg+h7bRW3ZpgSs4/np6+ndJEQpj3Qkjpl9QeMiFya286RMsYMAYYAVKpUyV279Vrvz9vK/lPnmHLftYQGBzodR8QtAgIM79zRiLMp6bw4YwOFQoLo0aRCnu83NT2D12ZvZMKyPbSqUYJPezWhWMF8eb5fEfF+l71qzxgz3xiz/gL/ul3Jjqy1o6y1kdbayPBwzYp+KWv2nWbckl30blGJ5lWLOx1HxK2CAwP4pFdjWtUowVPfr+Pn9YfzdH/HE5K5Z3Q0E5btYXCbqkzo31xFlIhk22V7pKy1N7ojiGRKTc9g+NR1lAoL5WmHT7gVcUpocCCj+kTSe0w0D3+zmjH9ImkTkft/gMXuP8N9k2I4cTaFD+5sRPfGed/7JSK+RfeR8jCjFu1k8+F4Xr2tPoV112TxYwVDghjfrznVwgsyZOJKVu45mavb/2H1AW4fuRSAqf9sqSJKRHLkqgopY0x3Y8x+4FrgR2PM3NyJ5Z92HEvgo1+3cWuDstxUV5OgihQpEMykgVGUKRJKv3Er2HDwzFVvM811PtSj363hmopFmflQa+qXL5ILaUXEH11VIWWtnW6trWCtDbHWlrbW3pxbwfxNRoblmamx5A8O5KWu9ZyOI+IxwsNCmDwoirCQIPqOWc6OYwk53tapsyn0G7eC0Yt30a9lFSYPiqKkJgAXkaugoT0P8c2KvSzffZLnbq1DeJgO7CJZlS+an8mDojAGeo+OZv+pxCvexsaDcXQdsZjlu07y79sb8lLXegQH6hAoIldHRxEPcPhMEm/9tJmW1UtwR1OdpyFyIdXCCzFxQBRnk9PoPTqao/FJ2X7u7HUH6fn5UlLSMvjuvhb8I7JiHiYVEX+iQsph1lpemLGe1IwM3uzRQDc3FbmEuuUKM65/c47GJ9N3zHJOJ6Zccv30DMvbP29m6NerqVuuMLMeak3jSsXclFZE/IEKKYfNWX+YeRuP8PhNNalcoqDTcUQ8XtPKxRjVJ5Kdx87Sb9wKEpLTLrjemcRUBoxfwecLdnB3VCW+GdyCUmGhbk4rIr5OhZSDziSm8uKMDdQvX5gBrao6HUfEa7SOKMmndzcm9sAZBk+IISk1/W/Ltx6Jp9uIxSzdcZzXu9fnje4NyBekw52I5D4dWRz0xk+bOJWYwls9GhKkk15FrkiHemV4946G/LnrBEO/XkVqegYAczccpvuIJSQkp/PN4BbcE1XZ4aQi4svcNtee/N3S7cf5LmYf97errnvYiORQ98YVOJuczvM/rOeJKWupUrIgH/+6jUYVi/JF76aUKaKhPBHJWyqkHHAuJZ1npsdSpUQBHr0xwuk4Il6td4vKxCel8fbPmwG4vWkFXrutvib7FhG3UCHlgA9/3cqeE4l8PThKB3uRXPDP66pTKCSQkKBA7oisoKtfRcRtVEi52foDZxj9xy7ualaRltVLOh1HxGf0ubaK0xFExA/pDGc3SkvPYNjUdRQvmI9nOtVxOo6IiIhcJfVIudHoxbvYcDCOz+9pQpECwU7HERERkaukHik32X38LB/M28rN9UrTqUFZp+OIiIhILlAh5QbWWp6ZFku+wABe6Vbf6TgiIiKSS1RIucF/YvazbOcJnrmlDqUL6742IiIivkKFVB47GpfEaz9upHnV4tzVTDPOi4iI+BIVUnnspVkbSErL4K0eDQgI0L1tREREfIkKqTw0d8Nhfoo9zCM3RFAtvJDTcURERCSXqZDKI3FJqbw4Yz21y4QxpG01p+OIiIhIHtB9pPLIW3M2cyw+mS/7RhIcqHpVRETEF+kTPg9E7zzB19F7Gdi6Kg0rFHU6joiIiOQRFVK5LCk1nWemxVKxeH4eu6mm03FEREQkD2loL5d9+tt2dh4/y6SBzSmQTy+viIiIL1OPVC7adCiOkQt30LNJBdpEhDsdR0RERPKYCqlckp5hGTZ1HUULBPP8rXWcjiMiIiJuoEIql4xbsot1+8/wry71KFYwn9NxRERExA1USOWCfScTee+XrdxQuxSdG5Z1Oo6IiIi4iQqpq2St5dnpsQQGGF69rT7GaBoYERERf6FC6ipNW3WAP7YdZ1jHWpQrmt/pOCIiIuJGKqSuwvGEZF79cSNNKxfjnqjKTscRERERN1MhdRVembWRxOR03urRgIAADemJiIj4GxVSOfTb5iPMXHuQB9vXIKJ0mNNxRERExAEqpHIgITmN56avp2bpQvzzuupOxxERERGHqJDKgXd+3szhuCTe6tmQfEF6CUVERPyVqoArtHLPSSb+uYd7r61Ck0rFnI4jIiIiDlIhdQWS09IZNjWWckXy89TNtZyOIyIiIg67qkLKGPOOMWazMWadMWa6MaZoLuXySJ/9voPtRxN4rXt9CoYEOR1HREREHHa1PVLzgPrW2obAVuCZq4/kmbYeieezBdu57ZpytK9Vyuk4IiIi4gGuqpCy1v5irU1zPfwTqHD1kTxPeoZl2NR1FAoJ4oXOdZ2OIyIiIh4iN8+RGgDMudhCY8wQY0yMMSbm2LFjubjbvDf5zz2s3nuaF7vUpUShEKfjiIiIiIe47Ik+xpj5QJkLLHrOWjvDtc5zQBrw1cW2Y60dBYwCiIyMtDlK64ADp8/x758307ZmOLddU97pOCIiIuJBLltIWWtvvNRyY0w/oDNwg7XWawqk7LDW8vz0WCzwRvf6GKNpYEREROT/Xe1Vex2Bp4Gu1trE3InkOWauPcjvW47xZIdaVChWwOk4IiIi4mGu9hypT4EwYJ4xZo0xZmQuZPIIJ8+m8PKsjTSqWJR7W1ZxOo6IiIh4oKu6GZK1tkZuBfE0r83eSNy5VN7u2YDAAA3piYiIyP/Snc0vYOHWY0xbfYAHrqtO7TKFnY4jIiIiHkqF1HnOJqfx7LRYqocX5MHrfbbDTURERHKB5jk5z/vztnLg9Dn+c/+1hAQFOh1HREREPJh6pLJYs+8045bsoneLSjSrUtzpOCIiIuLhVEi5pKRlMHzqOkqFhTKsY22n44iIiIgX0NCey6hFO9h8OJ4v+0YSFhrsdBwRERHxAuqRArYfTeDjX7dza8Oy3FS3tNNxRERExEv4fSGVkWF5dlos+fMF8lKXek7HERERES/i94XU18v3snz3SZ6/tQ7hYSFOxxEREREv4teF1OEzSbw1ZzOtapTg9qYVnI4jIiIiXsZvCylrLc//sJ60jAze6N4AYzQNjIiIiFwZvy2k5qw/zPxNR3j8pppULlHQ6TgiIiLihfyykDqdmMKLMzbQoHwRBrSq6nQcERER8VJ+eR+pN37axKnEFCYMaEZQoF/WkiIiIpIL/K6KWLL9OFNi9jOkbTXqlSvidBwRERHxYn5VSJ1LSefZ6bFULVmQR26IcDqOiIiIeDm/Gtr7cP5W9pxI5NshLQgNDnQ6joiIiHg5v+mRWn/gDF/+sZNezSvSoloJp+OIiIiID/CLQio1PYOnv19HiUIhDO9Ux+k4IiIi4iP8YmhvzOJdbDwUx8jeTSiSP9jpOCIiIuIjfL5Hatfxs3wwbysd65WhY/2yTscRERERH+LThZS1lmemrSNfUAAvd6vndBwRERHxMT5dSE2J2cefO0/y7C11KF041Ok4IiIi4mN8tpA6GpfE6z9uIqpqce6MrOh0HBEREfFBPltI/WvmBpLSMnizRwMCAozTcURERMQH+WQh9fP6w8xZf5hHb4ygWnghp+OIiIiIj/LJQqpQSBA31inF4DbVnI4iIiIiPswn7yPVOqIkrSNKOh1DREREfJxP9kiJiIiIuIMKKREREZEcUiElIiIikkMqpERERERySIWUiIiISA6pkBIRERHJIRVSIiIiIjmkQkpEREQkh4y11v07NeYYsCePd1MSOJ7H+/Bk/tx+f247+Hf71Xb/5c/t9+e2g3vaX9laG36hBY4UUu5gjImx1kY6ncMp/tx+f247+Hf71Xb/bDv4d/v9ue3gfPs1tCciIiKSQyqkRERERHLIlwupUU4HcJg/t9+f2w7+3X613X/5c/v9ue3gcPt99hwpERERkbzmyz1SIiIiInnK6wspY0xHY8wWY8x2Y8zwCywPMcZ851oebYyp4kDMPJGNtvczxhwzxqxx/RvkRM68YIwZa4w5aoxZf5Hlxhjzseu1WWeMaeLujHkpG+2/zhhzJst7/6K7M+YVY0xFY8zvxpiNxpgNxphHLrCOT77/2Wy7L7/3ocaY5caYta72v3yBdXzymJ/NtvvsMR/AGBNojFltjJl9gWXOve/WWq/9BwQCO4BqQD5gLVD3vHUeAEa6vr4L+M7p3G5sez/gU6ez5lH72wJNgPUXWX4LMAcwQAsg2unMbm7/dcBsp3PmUdvLAk1cX4cBWy/ws++T73822+7L770BCrm+DgaigRbnreOrx/zstN1nj/mu9j0OfH2hn28n33dv75FqDmy31u601qYA3wLdzlunGzDB9fX3wA3GGOPGjHklO233WdbaRcDJS6zSDZhoM/0JFDXGlHVPuryXjfb7LGvtIWvtKtfX8cAmoPx5q/nk+5/Ntvss1/uZ4HoY7Pp3/om+PnnMz2bbfZYxpgJwKzD6Iqs49r57eyFVHtiX5fF+/veg8t91rLVpwBmghFvS5a3stB2gp2to43tjTEX3RPMI2X19fNm1rmGAOcaYek6HyQuu7vvGZP51npXPv/+XaDv48HvvGt5ZAxwF5llrL/re+9gxPzttB9895n8IPA1kXGS5Y++7txdScmmzgCrW2obAPP6/Whfft4rMKQ0aAZ8APzgbJ/cZYwoBU4FHrbVxTudxp8u03affe2tturX2GqAC0NwYU9/hSG6Tjbb75DHfGNMZOGqtXel0lgvx9kLqAJC14q7g+t4F1zHGBAFFgBNuSZe3Ltt2a+0Ja22y6+FooKmbsnmC7Pxs+CxrbdxfwwDW2p+AYGNMSYdj5RpjTDCZhcRX1tppF1jFZ9//y7Xd19/7v1hrTwO/Ax3PW+Srx/z/uljbffiY3wroaozZTeZpLNcbYyaft45j77u3F1IrgAhjTFVjTD4yTzCbed46M4F7XV/fDvxmXWejebnLtv28c0K6knk+hb+YCfR1Xb3VAjhjrT3kdCh3McaU+ev8AGNMczJ/133iw8TVrjHAJmvt+xdZzSff/+y03cff+3BjTFHX1/mBm4DN563mk8f87LTdV4/51tpnrLUVrLVVyPys+81a2/u81Rx734PcsZO8Yq1NM8YMBeaSeRXbWGvtBmPMK0CMtXYmmQedScaY7WSenHuXc4lzTzbb/rAxpiuQRmbb+zkWOJcZY74h8+qkksaY/cC/yDz5EmvtSOAnMq/c2g4kAv2dSZo3stH+24F/GmPSgHPAXb7wYeLSCugDxLrOFwF4FqgEPv/+Z6ftvvzelwUmGGMCySwQp1hrZ/vDMZ/std1nj/kX4invu+5sLiIiIpJD3j60JyIiIuIYFVIiIiIiOaRCSkRERCSHVEiJiIiI5JAKKREREZEcUiElIiIikkMqpERERERySIWUiIiISA79H0jZyRIFO2O2AAAAAElFTkSuQmCC\n",
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\n",
       "text/plain": [
        "<Figure size 720x288 with 1 Axes>"
       ]
@@ -5878,12 +5904,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 89,
+   "execution_count": 97,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x288 with 1 Axes>"
       ]
@@ -5914,7 +5940,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 90,
+   "execution_count": 98,
    "metadata": {
     "slideshow": {
      "slide_type": "-"
@@ -5923,7 +5949,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 864x288 with 2 Axes>"
       ]
@@ -5960,7 +5986,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 91,
+   "execution_count": 99,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -5974,12 +6000,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 92,
+   "execution_count": 100,
    "metadata": {},
    "outputs": [
     {
      "data": {
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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6007,12 +6033,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 93,
+   "execution_count": 101,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjwAAABECAYAAACF4e8fAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAAAClklEQVR4nO3Zv0tWUQDG8WP4M0h7ExuDJic3g1pcgv6NaCiCgpbIMMcIgpaoQXpp6F+oOQLX2moPGpU30yB/INwWF4dy6bwnHj6f5Qz3Dg9cLnzhjHRd1xUAgGCnWg8AAKhN8AAA8QQPABBP8AAA8QQPABBP8AAA8UZPeuHBi/Uy2N4bxpahe716rXx7ebv1jGou3F0rd949aj2jihtvB2Wxv1Y+3cz8fov9tfL88fvWM6q5t3q1vHl6v/WMaq4vPytfX31sPaOai7culX6/33pGFZfnN8vC0kr5vP6k9ZQqFpZWysMPX1rPqKI3OVaWr8z/8fmJwTPY3isbW7v/dNT/5HB7s/WEqjZ/fW89oYr9jc1jZ6Lt4P+ulFJ+/hi0nlDV4c5+6wlV7ezstJ5QxcHe1rEz0WD3oPWEJlxpAQDxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxRk96YXZmchg7mhmdmWs9oaq50+daT6hi4nx3dOZ+v5neVOsJVZ05O9t6QlWj0xOtJ1Q1PT3dekIV45P7R2ev8ZJ6ZqfGW0+oojc59tfnI13XdUPaAgDQhCstACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4v0G2LZVRfld9xMAAAAASUVORK5CYII=\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 720x72 with 1 Axes>"
       ]
@@ -6027,12 +6053,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 94,
+   "execution_count": 102,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 720x72 with 1 Axes>"
       ]
@@ -6047,12 +6073,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": 103,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAABGoAAABECAYAAADZXtNTAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAAADw0lEQVR4nO3bv45VVRjG4RdBGoiEBA2SCXtXWqk3YLwFrNQL0EpttPUujJVWVsZKb4F4A2Kl1dqEgH8mMRhoMHgsDqGT07hmfbPyPM0q5hTvV53MLzNndrvdLgAAAAAM99zoAQAAAADsCTUAAAAARQg1AAAAAEUINQAAAABFCDUAAAAARQg1AAAAAEWcO/iJT95Mju+cwJQBvm7JV+voFf2835Jf1tErurj7SnItLXezjp7SxbW0fDPpbUnyXlo+mPi+L9Py6sT3/ZyWNe+OntHJW2n5MGu+GD2ki/1tP42e0U3La1l/Hb2in3Y1Wb8dvaKf9k6yfjR6RSc3k3YrWV8fPaSPdit5ex29op/vWvL5OnpFPx+35Md19Ip+3mhJ1j9Hz+jkZtJuJOv3o4f00W4k66ejV/RxdDn54bP//PHhUHN8J/lt+z8n1fLXxLclyd9z3vf46TvnfUnyYOLbkuT3ye/bpr9v1t+G7ydJtifvjLY8Gj2hq+3x4c+cZtuD0Qv62v4YvaCT2/tnuz12Rk/35v7ay/3J73s0+X3Z/hm9oJOH+2d7OHZGT9vx6AVD+NcnAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIs4d/MSVoxOYMdALy+gFfT0/531nn75z3pckFye+LUlemvy+Zfr7ro6e0MmlJMny5J3RkvOjJ3S1nD38mdNsuTh6QV/Li6MXdHJ9/yzXx87o6eW5v/ZyafL7zk9+X5ZZ/z7hwv5ZLoyd0dNyZfSCPo4uP/PHZ3a73e6EpgAAAADwDLOmRQAAAIBTR6gBAAAAKEKoAQAAAChCqAEAAAAoQqgBAAAAKEKoAQAAACjiX5EbY3y4VKb8AAAAAElFTkSuQmCC\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABGoAAABECAYAAADZXtNTAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAADw0lEQVR4nO3bv45VVRjG4RdBGoiEBA2SCXtXWqk3YLwFrNQL0EpttPUujJVWVsZKb4F4A2Kl1dqEgH8mMRhoMHgsDqGT07hmfbPyPM0q5hTvV53MLzNndrvdLgAAAAAM99zoAQAAAADsCTUAAAAARQg1AAAAAEUINQAAAABFCDUAAAAARQg1AAAAAEWcO/iJT95Mju+cwJQBvm7JV+voFf2835Jf1tErurj7SnItLXezjp7SxbW0fDPpbUnyXlo+mPi+L9Py6sT3/ZyWNe+OntHJW2n5MGu+GD2ki/1tP42e0U3La1l/Hb2in3Y1Wb8dvaKf9k6yfjR6RSc3k3YrWV8fPaSPdit5ex29op/vWvL5OnpFPx+35Md19Ip+3mhJ1j9Hz+jkZtJuJOv3o4f00W4k66ejV/RxdDn54bP//PHhUHN8J/lt+z8n1fLXxLclyd9z3vf46TvnfUnyYOLbkuT3ye/bpr9v1t+G7ydJtifvjLY8Gj2hq+3x4c+cZtuD0Qv62v4YvaCT2/tnuz12Rk/35v7ay/3J73s0+X3Z/hm9oJOH+2d7OHZGT9vx6AVD+NcnAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIoQaAAAAgCKEGgAAAIAihBoAAACAIs4d/MSVoxOYMdALy+gFfT0/531nn75z3pckFye+LUlemvy+Zfr7ro6e0MmlJMny5J3RkvOjJ3S1nD38mdNsuTh6QV/Li6MXdHJ9/yzXx87o6eW5v/ZyafL7zk9+X5ZZ/z7hwv5ZLoyd0dNyZfSCPo4uP/PHZ3a73e6EpgAAAADwDLOmRQAAAIBTR6gBAAAAKEKoAQAAAChCqAEAAAAoQqgBAAAAKEKoAQAAACjiX5EbY3y4VKb8AAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 1440x72 with 1 Axes>"
       ]
@@ -6067,7 +6093,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 96,
+   "execution_count": 104,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -6076,7 +6102,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 720x72 with 1 Axes>"
       ]
@@ -6091,12 +6117,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 97,
+   "execution_count": 105,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 576x72 with 1 Axes>"
       ]
@@ -6111,12 +6137,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 98,
+   "execution_count": 106,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjwAAABECAYAAACF4e8fAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAAACkklEQVR4nO3ZsUuUYQDH8Ve9xKKrtIJCwggco73aijb/iJrbIhragoYIt7agwNXRqYamgtZodMgjpCDD7CLF1Lcp6IZy6bknfnw+yzO8z/C74YXv3Y20bds2AADBRmsPAAAoTfAAAPEEDwAQT/AAAPEEDwAQT/AAAPE6+124/Ohls7qxNYwtQ/fu7tXm/ZPZ2jOKOXNjuTm3eL/2jCKevX7czM6vNMu3ztaeUsTs/Erz9sGr2jOKOX/nUvPm6e3aM4q5cP1hs/P8Y+0ZxXSunWoWFhZqzyhi7spiMzm91KyvztWeUsTk9FJz88Va7RlFTE2MNvcuTv3x+b7Bs7qx1fTWN//pqP/Jztde7QlF9b6t155QxI+13sCZaPtL5heNX7b7n2tPKOv7bu0FRfX7/doTitjb/TBwJvq0uVd7QhX+0gIA4gkeACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4nX2uzB9dGIYO6rpHJmpPaGomcOTtScUceDEzMCZaPxY9rs33j1ee0JZh8ZqLyiq2+3WnlDE6NjpgTPRyYOZv3VMTfz9c420bdsOaQsAQBWZmQcA8BvBAwDEEzwAQDzBAwDEEzwAQDzBAwDE+wkXsFJol2wNmwAAAABJRU5ErkJggg==\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 720x72 with 1 Axes>"
       ]
@@ -6144,7 +6170,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 99,
+   "execution_count": 107,
    "metadata": {
     "slideshow": {
      "slide_type": "-"
@@ -6153,7 +6179,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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xjF1c7RVMpw0DpzNUMNXZejClX0Gwgqmy2EtcsyWI9DJXKQTs/5cTg33UVIhGohiOpq9k5Ha+xwMAOG7kvg0XkwDRPNFtFUzp0iuY7OsPiQqmyTwrmOylrqxgqjy5GvXlfM8svtf5Hg8u1OpyvoZJgMgBuSqYQrb1h/Q+TOECK5jsVw8tnF6iPDAJEJWYN88KpsG0XdQzVTBJAO3jY2iBSNkDkbiLHBeoCWASICpbhVQwDdoSxbBhwARgAhiIxjAATFug1jHVYiP9PhANrGCqKSVJAnv27MGhQ4cAAKtWrcKdd95ZijCIKla+FUyTXh0nxyeTVw8j8R5MMQADhoGBDAvUbiGmL07HE0Udp5iqjuNJ4MiRI3j55Zdx4MABCCGwZcsW/PjHP8bll1/udChEVclewdTa0oBhc2rgtvdgSl9/GE9UMCmVVwWTff2hXdPg5tVDRXI8CXR0dGDHjh1wu90AgHPPPRc9PZnuSUVE803LUcEUsVcwpe2BmMizgsmeGOzN+nQmiLLleBI4//zzk3/+3e9+h+effx7f+973nA6DiNK4hUCnrqMzRwVTpvtApFcw/T5LBZO9tPXsoITHMNDCFhslJ5QqTceL9957D7fccgu2bduG6667Lu/39YcjyL31gUrp7eAkfjo8hsFoDO0uHatbF+CDDbnrlKlyKaUQMEycicYwEImiPxrDmWgUA5EYzkRjiM4wvEgA7S4dHS4dHW4XFsZ/73DpaNY1Joh5oAHwe9xZny9JEjh27Bhuv/123H333Vi7dm1B7/3/B0YRjpkzvzCL1rYGDA8FZ/3+YinHuAqN6b1wGIcnJqDBusSMwdrmflV9fXL3Yinicko5xlXKmOwVTING6i7qEdNE7o42qRVM6X2YilXBVI7/D4G5xeXSJJb6mrM+7/h0UG9vL2677Tbs3r0bK1eudPrbUxG9EgpBw1TrWhcAKIVXQqF5TQJUGXJVMC1orcfvbC020nsw5VPB1G5bc7AnClYwFcbxJPDNb34T4XAYDz30UPKx66+/Hp/61KecDoXm2YhhwJt2dqbHHyey02xtMNLFlMJIlvUHewVTr2GgN0sFU3va4nTia1YwTed4Eti5cyd27tzp9LclB7RoGgKmCfs5Xyz+OFG+cvVgslcw2W8QNJRWwXQyFsPJDAvUTel3kYtfQbTWcAUTdwzTvFnp9eLwxASgVMqawEqvt8SRUbXIt4LJfhVhr2AaVwrjWSqYWqSEbzKIBYaadhe5al6gZhKgeZOY938lFMKIYaBF07DS6+V6ADkiVw+mYI4riEQ6GDFNjEyEpn2uROpd5OydXBdUQQ8mJgGaV+d7PBz0qawIIdAoBBqlxNlZejAlmvMFXRI9wRCGDAPD8ZsEmQAG46/J1oMpkRTsm+UqpQcTkwAR1Sx7BdMHXC6rFFOzSjHN+AJ1+g2CEiWuQO4KJo+tB1M5VzAxCRARZSBti8jnpT0XUwrDGW4QNGgYCMTXH8I5KpjqRWp7b/sVhNMVTEwCRFTT3guHk+tYHRMBXKK5ZpzS1IVAh66jI8NziQqm9KsHewXThFKYyFbBJGXKFUS7puGcsBuaUkWpYGISIKKaZd/l7hUCYzEDh8PWvP9s17ZyVTBNJqaX0m4QNGiaiCQqmOL7IVIqmMbHITB1Fzl7H6a5VjAxCRBRzZq2y10IGPHHi1HgUCclFkmJRWmP2yuYMl1BxGDdY3jENDFimng/bYHaXsGU3sm1XeZODkwCRFSzymWX+0wVTGKBF78dCkxbfxjJUMH0XlqC6HTp+Lq/Jev3ZhIgoppVCbvchRBodemAy4UPZLiL3EwVTPk06iOqWfZFQW5uqz3pu9wjSlXULveZKpgGfvc+gn0ngQvOyfoZTAJUs9IXBQOmaQ0ImP2iIFWW9F3uHbqGSzzVcSKg3n8PTf/5HBa2Lcz5OiYBqllsfU1A6i73cr2fQEFiMYgzfcALB1E/Pgqvyj0hxCRANatcFgWJZiU+2Iv+0xB9PRD9vRB9vRCD/RCmicS9xHQt9+5kJgGqWZWwKEiEWAxmz0nId9/PONhnozQdhtcL1Z5pS9sUJgGqWWx9TWUlFrMG9sQg39dr/flMH0JpJyt2yuOF8ncB/i6Yvm6Y/i6ojk5Ezwwg/OIP4WlYkPPbliQJPPfcc9i7dy+i0ShuvPFG3HDDDaUIg2ocW19TSRiGNdj39aae2Z/py31mn2WwR3MrkGG3sKulzXr8nV/mDMfxJNDX14fdu3fjmWeegdvtxvXXX49LL70U552XXuBEVHxsfU1Fk2mw7++FONMPkWPdSXm8UL5OwB8f6H2daFp6LkaVN+Ngn4vr3KVwLV2W8zWOJ4EjR45gxYoVaGlpAQBceeWVOHz4MP7mb/7G6VCIiOZu2mB/GqK/Z+bB3u2B8scHe18XVPwMP9OZvWxrAIpUteR4Eujv70dHx9RChc/nwxtvvOF0GFThBBL/ToTtz4CprG32Kq/3CwgBmObMryeyBvsBa4Dviw/0iWmcQgZ7XxdMX5c12JfBfQXySgKxWAx6Wke80dFRNDc3F/wNlZr+z62Qu+8sWFCH6c1XC9Pa1jDHTyiOcozLyZjsPwUaBKSwGmNJIaAJa7i3HhNo9zdPvcb282MohZhSyd9jpkJMWUlCFwJ6/HdNCOhCQAqBScNEwDAQzfCzWaha/39YiHKJa/KdtzD+f36G6NAgom3taPzYx+FtbYfZcxKq9xTMHuuX6usFcpUPu92QXYsguhdBdi2C7D4Loqsboq0dYh4G+9ker5lq3XImgTfffBPbtm3DmTNn8IlPfAL3338/GhsbAQA33ngjDhw4UHBAfr8fR48eTX7d398Pn8+X9/vHxiYRjmVfPJlJuW4GKce45iOmxFm6gIAmBTRYg7YUAjLxvFKQwjqjlypxUmANyIayKnbsLbE6OpowMDCedwyJJooxhZwnEKYAgoaBmDm7ZFCt/w+LoSziMgzEfvEazJd+BM2IoT4ahX7yD1BH/y+m32l4inK5rTn7zgzTOJkG+5HJOYc6l+Pl0iT8PnfW53MmgQceeABf+cpX8Md//MfYtWsXtmzZgm9/+9twu90Zz+jz8dGPfhSPP/44hoaGUFdXhxdeeAFf/epXZ/VZVB7sUzNa4oxbSmvAB5K/A0Dyx0alfYLt69n+bGWT78d5FODWNExIhUnDwCxzAZUb04xP48Tn7BOllwN98BjZTwsKHuwrVM4kEAqFsGrVKgDAo48+ittvvx133XUXvva1r836G/r9fnzxi1/EZz/7WUSjUWzevBnLly+f9eeRc5Jn9ULAZZtSEUpBEwJSWWfdSgHpk+yVMp4KBTRAwKvrCJgmwsbsrzrJYfbBvt+2SDtwGiLDHbwSlJQw6+ph1DVA1dcjqumIxmKo//yXqmqwzyZnEjBNE4ODg2hvbwcAPPzww7j++uvxj//4jwXN46dbt24d1q1bN+v3U/HYp29cQqBOk8mz+sQZvUT6Gf3Umfw8n8SXjKaAZiEQdukIxAwY1fIXqwamCTF0JrXGvr935sHe5QISZ/T+bqiOTgRfOwIzHALiZcK6JhGbDAFtzTWRAIAZksBNN92EDRs24P7778eqVatQV1eHvXv34jOf+Qz6+vqcipGKIDHYy/jZfHKhND4/LxXQ4XYBQlbsWf3cCWuKSNcQVAqTMaOG/u5lwDSBoTOQ06Zx8hjsOzqhOtOqcVrbpw3sutuL8H8+BxGJAC4XzEgEyojB85H/Uey/XdnImQTWr1+P5cuXw+2eWlTo7u7GgQMH8G//9m9FD47mxn5WL9Pm6vM5qyeLUEAjBLy61WsowsWC+ZU+2Ccaog30QcSiWd+mdBfg65w6s/d1WnP2GQb7bFznLgWwDpHXfg41Mgy9owP6h1fGH68NOZNAT08PPvCBD0x7vLm5GRdeeGHRgqLCzHRWr8VLJCt5rr4c6BBolhpCGhCMGTA5RVQY0wSGByH7ehANDEL/7e/j8/enCx/sO7qAtoXzMmXjOndpctAvi6olh+VMArfddluyDHTbtm14/PHHk8/t3r0bH//4x4sbHSWlnNVLARcAzX5Wb1+UBap2rr7UBIC6+BTRhGkiZJhMpOkSg32yEVrP1DRO/P63UUyvX1e6bs3Z+zrjg318GmeeBnvKLGcSsJfqnThxIutzNH8SO1mT0zfxM/u8zur5v8QxmgIWSAmPFAgY5qz3FlQ00wRGBiH7sg/2mShdh+zshrHQH++NYw34ioN9SeRMAvYKoPRqoLlUB9W69A1UOoAmTQNcujVPz7P6iqAU4IZAq9QwKRWq9l9EcrC3tUpITONEI1nfpjQd8Pmhko3Q4oN9aztaOxbU3LRLucr7SoAKl+2sXrNV4CTO6pt0DaGUDVMlC5sKJADUQ6DZpWNCkwhX6hSRaQIjQ9aZfb+982UBg328Gid5Zs8b9JS9GfcJjI6OQikFwzCSfwYAg7fgA5D5rN6aq1fQkDZ9A/Csvoq5pUSzlAhLicAc2k8UnWkCo8OQ9rLLvvg0TiSc9W1K04EOf3znbBdUfJFWtXVwsK9gOZPAu+++ixUrViQH/ksvvTT5XK1NBxVyVp8c6OM40NcOa4oIaC2H9hOmCXPwDOQ7v5maxpntYN/Rad2mkIN91cmZBI4fP+5UHGUh/azeBUDGz+olBHSe1VOeHG0/oZRtGsdWZ99/GqFIOPttCTUtPtinTeNwsK8pNXmPYfsGKnsPHMmzeppn89p+IjHY21slJDZX5Tyz14CFfludPQd7mlK1SSDTWb0mJVp1HVLXWYFDDiqw/YRSwOgwRF/v9JYJuQZ7Ka12CclpnC40nb8Eo3oTB3vKquKTgH2w16WYmq/PclZfp0kEONBTCUxrP2GYqYO9/cw+nL2jvTXY+62z+Xh7Y+XrglromzbYF/O2hFQdKi4JCAh4NDnjYM+zeioXSimo0WEYfT0wT/fA6OuBHj+zRyj7DUeUlMBCn7UwmxzsO6HafYBecf90qUxV3E9Si5TWPyoO9lRmlFIwR4Zg9PXC7OuZGvRnGOwhJdRCH1R8Q5UZb52gFvo52FPRVeRPGAd7KiWlFNTYCIzTPTD7e63f+3ow3t8Lc3Ii+xulhOzwQ/N3Q/N3Q/q7IP3d0Dr8iOha7bafoJJyPAkcO3YMDz74IGKxGFpaWvDggw9i0aJFTodBBACIvv0rhF/6EcyhM5BtC+FZdSVcH7wYQPbB3ujrmfHMXi70QetcBC0+0Et/N+RCP0SWM3u3QrL9xARvbUkOcjwJ3HHHHXjiiSewbNkyfP/738f999+PvXv3Oh0GEaJv/wqTP/iutZjq8cAc7MfE974J7axzgHAo/8He3wXNvwjN5y1BsL4VssMPoWerzs8u0X7CvreAuYCKzdEkEIlEsH37dixbtgwAcMEFF+A73/mOkyFQDVNKQY2PJhdnwz89DBWaAGIGoKY2cxnv/jr1jULEz+y7ofkXWWf1vi5IX+pg39TRhNDA+JzjlApT7SdiBmKc/6QicjQJuN1urF+/HoDVl2jPnj247LLLnAyBakBysO/rTanIMft6oHLN2QMQbg/gdsOzYpU1Z+/rts7sXYWf2c9Fsv2ErmFClbj9BFU1oYrUKvTQoUPYtWtXymNLlizBU089hUgkgh07dmB0dBT/9E//BJfD/8CoOiilYIyOItJzApFTJ61fPdbvZjBHbbwQcPn8UNEooGkQHg+ElICQUJEI9JYWLPryPc79RfIQNk2MxwxE4v9cBQAtvpPdgOK0EWWlAfB73FmfL1oSyCYYDOLWW29FS0sLHn300ZT7F+djcDAAcw6nRB0dTRiYh0v2+VaOcZVLTNaZ/RjM/h4Yp3vgHj2D4O9/b53ZT+Qe7Kfm7Lsh/Yuss/uOTgiXK7kmIHQdcLmBaAQqFkPdhk8nF4cLUfzjpRARAkIpq81J/FETgKEUIgAmDDPltpflertExlWYucTl0iSW+pqzPl+SheHFixfjvvvuq7lOpJSbUgoqMA6z75RVa2+fxrEN9tP20goB2d4Rn7OPD/a+TkhfV85pHGug/3RKdZDXVh1UfgTctr0xKvmodf9jHYCHt72kAjmaBN566y28+OKLOO+887BhwwYAgM/nw5NPPulkGFREuUou7czA2NQgnxzse6EmAtk/XAjItoWoO/tsGG1+a3HW3w3p64RwFXZFmeD64MVlPOgXTlNAk5Co0wUCXFCmPDiaBC688EK88847Tn5LcpB9ekXUN0CNj2Lime/As3IVhMc7tVDb1wMVnHmwnzqz704Z7Mtlmqqc6RBoEUC9pmFcCFYYUVYVuWOYyo8ZGEfo8AEgEoEKh6xF11gUME2EDx3I/CbbYC99XdA6F8VLLzutKh2aI4EGXUOrrmFScRMaZcYkQAUxg+OZp3GCuc/MZXuHtUDbmZiz52DvFKG4CY2yYxKgjMzgOCYHTyD8zm9SmqHNNNjD5YL01kN4vYCuQ8UMoLEJTV+405nAKaupTWgCQcNElJcFBCaBmmcGx625eltfHLOvByowjlzDfaY5e2NoEKH/vd8a/BMll0YMdavXOPb3odysTWgCLqkhpAETc73bGVU8JoEaYQYDKYN8YtBXgRmmcdoWTk3j+Loh/N3Q/F0Zp3G0sxZDuFwVVHJZuwSAOhUvKY3vSGYuqE1MAlXGnAjCPH0qOVefnMYJjOV8n2xtTzmzF/4u+C9cisHxaEHfv9pKLqudTN7tTEcwfrcz5oLawiRQodREEIbtjD7/wb7N6mffaTVCE74uaL4uaw4//bVeL1BgEqDKpCugWQhEXDoChsH7GtQQJoEylzLY23raq/HRnO+bGuzjZ/a+7qyDPZHF2pHcJjVM8L4GNYNJoEwYwQBiv30vZUOV0dcDNTbDYN/SZk3jcLCneVQPAY+uswVFDWAScJianJi2OGv09WA0n8HeXmfv77J643jrHIqcao2mgAVSwhsvKY3wsqAqMQkUyfTBvjd+Zj+S832ypdW672yn7T60vm4O9lQSSgEuCLRIDWENCLCktOowCcyRNdj3ppZf9vVAjY7kfJ9obk1O42j+brQtPQ9j7gUQdfXOBE5UII8C3LzJTdVhEsiTCk1mnMbJe7BP9rS3+uSkD/bejiaMsykalTmhgAZbSSlbUFQ+JoE0KYO9rae9Gh3O+T6xoCV5Vm/N28encXhmT1VIi7egiEiJcZaUVrSaTQIqFILR35PaDK2/F2pkKOf7rMG+C5p/EQd7qmnWegHQGm9BEYwZKXc1o8pQ9UkgfbDvGe7H5IkTeQz2zfEz+0XQ/F1T0zj1DQ5FTlQZ2IKispUsCbz11lv4y7/8S7z55psFvW/i6SehffjSaa0JrMG+d/qcfdpgH0n7PNHUnLJAy8GeaHbYgqIylSQJTE5O4r777kM0WnhLAnN8FOHv/y+4P/QRQMrkoD/jmX1TM7TOLjQsPgfRlg5IfxeErxuSgz3RvGILispSkiTw0EMP4cYbb8Trr79e8HvV8CAwNorIz/8z4/OiaUFycTZRZy983ZANjQDAWxMSOYItKCqF40ngxRdfRCgUwlVXXTW3D9I06B84f2qw93VB+KcGeyIqD2xBUd6KlgQOHTqEXbt2pTy2ZMkSBAIBPPXUU7P+XFfXIkDX4Wptw6Iv3zOrz+joaJr19y+mcoyrHGMCGFchyimmkGFi3DAQVQqtbeU5FVttcWkzPC+Ucm4df//+/fjnf/5nNDRYf5njx49j2bJlePrpp9HYmN8Z/B923YfoQD/qNnx6Vn3ry3U6qBzjKseYAMZViHKMCQDqWutx8sx42bWgaG1rwPBQsNRhTDOXuFyaxFJfc9bnHZ0O+uQnP4lPfvKTya8vuOACHDx4sKDPEA1NqPvzy3jjEqIK1qhraGMLirJQcfsE6m/4nzD5E0NU8diCojzIUn7zd955p5TfnojKQKIFRYtLhy5FqcOpOSVNAkREQLwFhbJaUDS5dEjBZOAUJgEiKhuJFhRtuoY6XQNTQfExCRBR2ZEKaIJAq67BrXGYKiYeXSIqWzoEWoRAs0uHzimioqi46iAiqjUieVezScUWFPONVwJEVBGEslpQtOk6vJrkesE8YRIgoooi4yWlzS4NLpaUzhmng4io4igFuCHgkhrC8bualVsLikrBJEBEFUsA8Kbd1YzrBYXhdBARVbxEC4pWXYeH6wUFYRIgoqqhKaBFSquklOsFeWESIKKqohTgZguKvDEJEFFVSrSgaNU11HGKKCsmASKqapoCmoRkC4oseESIqCawBUVmLBElohrCFhTpeCVARDUn0YKilS0onL8S6O/vx86dO9Hf3w+v14tHH30UZ511ltNhEBEl72oWlgJBwyx1OCXh+JXAnXfeidWrV+MHP/gB1q9fj0cffdTpEIiIkqySUoEWqaFJ06DV2HqBo1cCQ0NDOH78OL71rW8BADZt2oSVK1c6GQIRUUYCQJOuoU3XEIy3oKiFdkSOXgmcOHEC3d3dePDBB3Httdfi9ttvh8vlcjIEIqKchAIaa6gFhVCqOLnu0KFD2LVrV8pjixcvxmuvvYa9e/di9erV2L9/P5599lns27evGCEQEc2JUgoTpolAzIBR6mBmSQPg97izPl+0JJDJH/7wB1x33XU4duwYAGBychIrVqzAL3/5y7w/Y3AwAHMONV0dHU0YGBif9fuLpRzjKseYAMZViHKMCajMuCZQupLS1rYGDA8FZ/Velyax1Nec9XlHp4POPvts+P1+vPTSSwCAn/70p7joooucDIGIaFYSJaXV1oLC8RLRPXv24N5778UjjzyCxsZGPPTQQ06HQEQ0K5oCFkgJb7ykNFIFO80cTwJLlizhGgARVSylABesktKwBmu9oILLiNg2goholhItKCr5rmZsG0FENAf2u5pVYgsKJgEionmQaEHRUmF3NWMSICKaJ0oBrgq7qxnXBIiI5lnirmYe23pBua4d80qAiKhIZAW0oGASICIqMl0BzYm7mpXZegGTABGRIwTcCmiTGhp1DeWSC5gEiIgcVk4tKJgEiIhKINGCosWlwV3CywImASKiErFKSq0WFM0uvSR3NWOJKBFRGShVCwpeCRARlYlStKDglQARUZlJtKCISIlxo7j3NOOVABFRGUppQaHJorWgYBIgIipjAkCTrqNN11Cna/M+ReR4Ejh58iRuuOEGrF+/Hn/1V3+FU6dOOR0CEVHFkQpogkCrrsGtzd/Q7XgSeOyxx7B27VocPHgQV1xxBXbv3u10CEREFUuHQEuiBcU8TBE5vjBsmiYCgQAAYHJyEl6v1+kQiIgqnEiWlE4qhYk5lJQ6ngS2b9+O66+/Hvv27UM0GsW///u/Ox0CEVFVEMpqQeHVdQRME2HDRKG5QChVnC7Xhw4dwq5du1IeW7JkCcLhMG6++WZcdtll+NGPfoQ9e/bg2WefhaiAmy8QEZWzScNEwDAQtQ3rGgC/x531PUVLApkMDQ1hzZo1+K//+q/kYytWrMDzzz+Ptra2vD5jcDAAcw5b6To6mjAwMD7r9xdLOcZVjjEBjKsQ5RgTwLgKVUhcCkBYAMGYAUMpuDSJpb7mrK93dGG4tbUVHo8HR48eBQAcO3YMDQ0NeScAIiLKTQDwKqBN19CQR8tqR9cEhBDYs2cPvvrVryIUCqGhoQGPP/64kyEQEdWERAsKzFBO6vjC8PLly7F//36nvy0RUU2SM8yec8cwEVENYxIgIqphTAJERDWMSYCIqIYxCRAR1TAmASKiGsYkQERUwyru9pJypu1vDn1GMZRjXOUYE8C4ClGOMQGMq1CzjWum9znaO4iIiMoLp4OIiGoYkwARUQ1jEiAiqmFMAkRENYxJgIiohjEJEBHVMCYBIqIaxiRARFTDmASIiGpY1SeBY8eOYdOmTVi/fj0+97nP4dSpU9Ne09PTgz/5kz/B+vXrsX79etx8880ljykSieCOO+7AmjVrcN111+E3v/lNUWOye+yxx7Le+9npY5VvXKU4Xj09Pbjhhhtw1VVX4dZbb0UwGMz4GieO13PPPYerr74al19+OZ5++ulpz7/99tvYtGkTrrzySvz93/89YrFYUeIoNK49e/Zg9erVyeOT6TXFEAgEcM011+DkyZPTnivVsZoprqIdK1XlVq9erd5++22llFL79+9Xn//856e95vDhw+qee+4pq5j+9V//NRnTq6++qjZv3lz0uMbGxtRdd92lli9frr7xjW9kfI3TxyrfuEpxvLZu3ap++MMfKqWU2rNnj/qHf/iHaa9x4nidPn1arV69Wg0PD6tgMKjWrVun3nvvvZTXrF27Vr3++utKKaXuuusu9fTTTxc1pnzjuuWWW9R///d/Fz0Wu1/84hfqmmuuURdddJE6ceLEtOdLcazyiatYx6qqrwQikQi2b9+OZcuWAQAuuOAC9Pb2Tnvdr371K7z77rvYuHEjPvvZz+Kdd94peUw/+9nPcO211wIAPvKRj2B4eBg9PT1FiwsAXnzxRZxzzjn467/+66yvcfJYFRKX08crGo3itddew5VXXgkA2LhxIw4fPjztdU4cryNHjmDFihVoaWlBfX09rrzyypRYTp06hVAohA9/+MM5Y3U6LgB488038eSTT2LdunW47777EA6Hix7Xf/zHf+Dee++Fz+eb9lypjtVMcQHFO1ZVnQTcbjfWr18PADBNE3v27MFll1027XUejwcbNmzAM888g5tvvhm33XYbIpFISWPq7+9HR0dH8uuOjg6cPn26KDElbNiwAVu3boWmaVlf4+SxKiQup4/X8PAwGhsboet68vv19fVNe50Txyv97+7z+VJiyXRsMsU632aKKxgM4oMf/CC+/OUv48CBAxgbG8MTTzxR9LgeeOABXHLJJXnF7NSxmimuYh6rimslnc2hQ4ewa9eulMeWLFmCp556CpFIBDt27EAsFsMtt9wy7b3btm1L/nnVqlX42te+hvfffz95tl6KmDKRcn5ydq64ZlKsYzXXuDIp5vE655xzpr1OiOkte4t5vBJUhkbA9lhmer5YZvq+DQ0NePLJJ5Nf33TTTbj77rvxxS9+seixZVOqYzWTYh6rqkkCa9aswZo1a6Y9HgwGceutt6KlpQV79+6Fy+Wa9pp9+/bhmmuuQWtrKwDrByFxhleqmHw+HwYGBrB48WIAwMDAQNbLxPmKKx/FOlZzjcvp4xWNRnHppZfCMAxompb1+xXzeCX4/X4cPXo0+XV/f39KLH6/H2fOnEl+PZ/HZi5x9fT04MiRI9i8eTOA4hybQpXqWM2kmMeqqqeDAOCOO+7A4sWL8dhjj8Htdmd8zWuvvYbvf//7AIBXX30VpmliyZIlJY1p1apVOHjwIADg6NGj8Hg86O7uLlpM+XL6WOXL6ePlcrlwySWX4PnnnwcA/OAHP8DHP/7xaa9z4nh99KMfxSuvvIKhoSFMTk7ihRdeSIll0aJF8Hg8OHbsWM5Y59tMcXm9XjzyyCM4ceIElFJ4+umncfnllxc9rlxKdaxmUtRjNe9LzWXk17/+tVq6dKm6+uqr1bXXXquuvfZatWXLFqWUUt/97nfV17/+daWUVcVw4403qrVr16qNGzcmK3dKGVMoFFJ33nmnuvrqq9WGDRvUm2++WbSY0n3jG99IqcIp1bEqJK5SHK+TJ0+qz3zmM2rNmjXqpptuUiMjI9Picup4Pfvss2rt2rXqiiuuUP/yL/+ilFJqy5Yt6o033lBKKfX222+rTZs2qauuukr93d/9nQqHw0WJo9C4Dh8+nHx+x44djsWllFWll6jCKYdjNVNcxTpWvLMYEVENq/rpICIiyo5JgIiohjEJEBHVMCYBIqIaxiRARFTDqmazGFEpGIaBb3/723juuedgGAai0ShWr16N7du3Z90DQlROWCJKNAf33HMPRkdH8cADD6CpqQkTExP40pe+hIaGBjzyyCOlDo9oRkwCRLN04sQJrFu3Di+//DIaGxuTjw8MDOD111/HFVdcUcLoiPLDNQGiWXrrrbdw3nnnpSQAwOo8yQRAlYJJgGiWpJQwTbPUYRDNCZMA0SwtX74c77//PgKBQMrjfX192Lp1K0KhUIkiI8ofkwDRLPn9fqxbtw533313MhEEAgF85StfQUtLC7xeb4kjJJoZF4aJ5iAWi+GJJ57ACy+8AE3TEIlEcNlll2Hbtm0sEaWKwCRARFTDOB1ERFTDmASIiGoYkwARUQ1jEiAiqmFMAkRENYxJgIiohjEJEBHVMCYBIqIa9v8AopnT7jIP2c0AAAAASUVORK5CYII=\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6182,7 +6208,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 100,
+   "execution_count": 108,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -6191,12 +6217,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 101,
+   "execution_count": 109,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x432 with 3 Axes>"
       ]
@@ -6230,7 +6256,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 102,
+   "execution_count": 110,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -6253,7 +6279,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 103,
+   "execution_count": 111,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -6343,7 +6369,7 @@
        "16                      0.70              7.95         142.81  "
       ]
      },
-     "execution_count": 103,
+     "execution_count": 111,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6354,7 +6380,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 104,
+   "execution_count": 112,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -6364,7 +6390,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 864x288 with 1 Axes>"
       ]
@@ -6392,7 +6418,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 105,
+   "execution_count": 113,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -6663,7 +6689,7 @@
        "1     2          12                   1.5         1.5                  2.28  "
       ]
      },
-     "execution_count": 105,
+     "execution_count": 113,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6675,7 +6701,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 106,
+   "execution_count": 114,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -6684,7 +6710,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 1008x432 with 1 Axes>"
       ]
@@ -6717,7 +6743,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 107,
+   "execution_count": 115,
    "metadata": {},
    "outputs": [
     {
@@ -6796,7 +6822,7 @@
        "      <td>8.0</td>\n",
        "      <td>185.023333</td>\n",
        "      <td>10.0</td>\n",
-       "      <td>True</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0.220000</td>\n",
        "      <td>42.040000</td>\n",
        "      <td>42.838333</td>\n",
@@ -6820,7 +6846,7 @@
        "      <td>8.0</td>\n",
        "      <td>73.601667</td>\n",
        "      <td>10.0</td>\n",
-       "      <td>True</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0.168333</td>\n",
        "      <td>19.628333</td>\n",
        "      <td>20.313333</td>\n",
@@ -6844,7 +6870,7 @@
        "      <td>8.0</td>\n",
        "      <td>43.990000</td>\n",
        "      <td>10.0</td>\n",
-       "      <td>True</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0.138333</td>\n",
        "      <td>12.810000</td>\n",
        "      <td>13.305000</td>\n",
@@ -6868,7 +6894,7 @@
        "      <td>8.0</td>\n",
        "      <td>31.225000</td>\n",
        "      <td>10.0</td>\n",
-       "      <td>True</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0.116667</td>\n",
        "      <td>9.325000</td>\n",
        "      <td>9.740000</td>\n",
@@ -6892,7 +6918,7 @@
        "      <td>8.0</td>\n",
        "      <td>24.896667</td>\n",
        "      <td>10.0</td>\n",
-       "      <td>True</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0.140000</td>\n",
        "      <td>7.468333</td>\n",
        "      <td>7.790000</td>\n",
@@ -6916,7 +6942,7 @@
        "      <td>8.0</td>\n",
        "      <td>20.215000</td>\n",
        "      <td>10.0</td>\n",
-       "      <td>True</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0.106667</td>\n",
        "      <td>6.165000</td>\n",
        "      <td>6.406667</td>\n",
@@ -6950,12 +6976,12 @@
        "\n",
        "       Plastic  Avg. Neuron Build Time / s  Min. Edge Build Time / s  \\\n",
        "Nodes                                                                  \n",
-       "1         True                    0.220000                 42.040000   \n",
-       "2         True                    0.168333                 19.628333   \n",
-       "3         True                    0.138333                 12.810000   \n",
-       "4         True                    0.116667                  9.325000   \n",
-       "5         True                    0.140000                  7.468333   \n",
-       "6         True                    0.106667                  6.165000   \n",
+       "1          1.0                    0.220000                 42.040000   \n",
+       "2          1.0                    0.168333                 19.628333   \n",
+       "3          1.0                    0.138333                 12.810000   \n",
+       "4          1.0                    0.116667                  9.325000   \n",
+       "5          1.0                    0.140000                  7.468333   \n",
+       "6          1.0                    0.106667                  6.165000   \n",
        "\n",
        "       Max. Edge Build Time / s  Min. Init. Time / s  ...  Presim. Time / s  \\\n",
        "Nodes                                                 ...                     \n",
@@ -6996,7 +7022,7 @@
        "[6 rows x 21 columns]"
       ]
      },
-     "execution_count": 107,
+     "execution_count": 115,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7028,7 +7054,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 108,
+   "execution_count": 116,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -7041,7 +7067,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 109,
+   "execution_count": 117,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -7118,7 +7144,7 @@
        " 0.518282  2.952492       NaN"
       ]
      },
-     "execution_count": 109,
+     "execution_count": 117,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7134,7 +7160,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 110,
+   "execution_count": 118,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -7143,7 +7169,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7177,7 +7203,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 111,
+   "execution_count": 119,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -7187,7 +7213,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
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@@ -7282,7 +7308,7 @@
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+   "display_name": "Python 3 (ipykernel)",
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@@ -7296,7 +7322,7 @@
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diff --git a/Introduction-to-Pandas--slides.html b/Introduction-to-Pandas--slides.html
index 4bb45ed9bc3abc7adc33bffc5574ae944e49fcea..b34a4ab7f5ba25c8d3b639b449e87c0a62605e18 100644
--- a/Introduction-to-Pandas--slides.html
+++ b/Introduction-to-Pandas--slides.html
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@@ -26,53 +23,11 @@ if( window.location.search.match( /print-pdf/gi ) ) {
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-td.linenos pre.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
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+}
+
+.jp-scrollbar-tiny::-webkit-scrollbar-thumb {
+  background: rgba(var(--jp-scrollbar-thumb-color), 0.5);
+}
+
+.jp-scrollbar-tiny::-webkit-scrollbar-track:horizontal {
+  border-left: 0px solid transparent;
+  border-right: 0px solid transparent;
+}
+
+.jp-scrollbar-tiny::-webkit-scrollbar-track:vertical {
+  border-top: 0px solid transparent;
+  border-bottom: 0px solid transparent;
+}
+
 /*
  * Phosphor
  */
@@ -400,6 +385,33 @@ span.linenos.special { color: #000000; background-color: #ffffc0; padding-left:
   text-overflow: ellipsis;
 }
 
+.lm-close-icon {
+	border:1px solid transparent;
+  background-color: transparent;
+  position: absolute;
+	z-index:1;
+	right:3%;
+	top: 0;
+	bottom: 0;
+	margin: auto;
+	padding: 7px 0;
+	display: none;
+	vertical-align: middle;
+  outline: 0;
+  cursor: pointer;
+}
+.lm-close-icon:after {
+	content: "X";
+	display: block;
+	width: 15px;
+	height: 15px;
+	text-align: center;
+	color:#000;
+	font-weight: normal;
+	font-size: 12px;
+	cursor: pointer;
+}
+
 /*-----------------------------------------------------------------------------
 | Copyright (c) Jupyter Development Team.
 | Copyright (c) 2014-2017, PhosphorJS Contributors
@@ -774,12 +786,14 @@ span.linenos.special { color: #000000; background-color: #ffffc0; padding-left:
 /* <DEPRECATED> */ .p-TabBar[data-orientation='horizontal'], /* </DEPRECATED> */
 .lm-TabBar[data-orientation='horizontal'] {
   flex-direction: row;
+  align-items: flex-end;
 }
 
 
 /* <DEPRECATED> */ .p-TabBar[data-orientation='vertical'], /* </DEPRECATED> */
 .lm-TabBar[data-orientation='vertical'] {
   flex-direction: column;
+  align-items: flex-end;
 }
 
 
@@ -836,12 +850,24 @@ span.linenos.special { color: #000000; background-color: #ffffc0; padding-left:
 }
 
 
+.lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing : border-box;
+}
+
+
 /* <DEPRECATED> */ .p-TabBar-tab.p-mod-hidden, /* </DEPRECATED> */
 .lm-TabBar-tab.lm-mod-hidden {
   display: none !important;
 }
 
 
+.lm-TabBar-addButton.lm-mod-hidden {
+  display: none !important;
+}
+
+
 /* <DEPRECATED> */ .p-TabBar.p-mod-dragging .p-TabBar-tab, /* </DEPRECATED> */
 .lm-TabBar.lm-mod-dragging .lm-TabBar-tab {
   position: relative;
@@ -867,12 +893,19 @@ span.linenos.special { color: #000000; background-color: #ffffc0; padding-left:
 
 
 /* <DEPRECATED> */
-.p-TabBar.p-mod-dragging .p-TabBar-tab.p-mod-dragging
+.p-TabBar.p-mod-dragging .p-TabBar-tab.p-mod-dragging,
 /* </DEPRECATED> */
 .lm-TabBar.lm-mod-dragging .lm-TabBar-tab.lm-mod-dragging {
   transition: none;
 }
 
+.lm-TabBar-tabLabel .lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing : border-box;
+  background: inherit;
+}
+
 /*-----------------------------------------------------------------------------
 | Copyright (c) Jupyter Development Team.
 | Copyright (c) 2014-2017, PhosphorJS Contributors
@@ -904,12 +937,6 @@ span.linenos.special { color: #000000; background-color: #ffffc0; padding-left:
 |----------------------------------------------------------------------------*/
 
 @charset "UTF-8";
-/*!
-
-Copyright 2015-present Palantir Technologies, Inc. All rights reserved.
-Licensed under the Apache License, Version 2.0.
-
-*/
 html{
   -webkit-box-sizing:border-box;
           box-sizing:border-box; }
@@ -921,17 +948,17 @@ html{
           box-sizing:inherit; }
 
 body{
-  text-transform:none;
-  line-height:1.28581;
-  letter-spacing:0;
   font-size:14px;
   font-weight:400;
+  letter-spacing:0;
+  line-height:1.28581;
+  text-transform:none;
   color:#182026;
   font-family:-apple-system, "BlinkMacSystemFont", "Segoe UI", "Roboto", "Oxygen", "Ubuntu", "Cantarell", "Open Sans", "Helvetica Neue", "Icons16", sans-serif; }
 
 p{
-  margin-top:0;
-  margin-bottom:10px; }
+  margin-bottom:10px;
+  margin-top:0; }
 
 small{
   font-size:12px; }
@@ -953,38 +980,38 @@ strong{
     color:#f5f8fa; }
 
 h1.bp3-heading, .bp3-running-text h1{
-  line-height:40px;
-  font-size:36px; }
+  font-size:36px;
+  line-height:40px; }
 
 h2.bp3-heading, .bp3-running-text h2{
-  line-height:32px;
-  font-size:28px; }
+  font-size:28px;
+  line-height:32px; }
 
 h3.bp3-heading, .bp3-running-text h3{
-  line-height:25px;
-  font-size:22px; }
+  font-size:22px;
+  line-height:25px; }
 
 h4.bp3-heading, .bp3-running-text h4{
-  line-height:21px;
-  font-size:18px; }
+  font-size:18px;
+  line-height:21px; }
 
 h5.bp3-heading, .bp3-running-text h5{
-  line-height:19px;
-  font-size:16px; }
+  font-size:16px;
+  line-height:19px; }
 
 h6.bp3-heading, .bp3-running-text h6{
-  line-height:16px;
-  font-size:14px; }
+  font-size:14px;
+  line-height:16px; }
 .bp3-ui-text{
-  text-transform:none;
-  line-height:1.28581;
-  letter-spacing:0;
   font-size:14px;
-  font-weight:400; }
+  font-weight:400;
+  letter-spacing:0;
+  line-height:1.28581;
+  text-transform:none; }
 
 .bp3-monospace-text{
-  text-transform:none;
-  font-family:monospace; }
+  font-family:monospace;
+  text-transform:none; }
 
 .bp3-text-muted{
   color:#5c7080; }
@@ -1002,54 +1029,54 @@ h6.bp3-heading, .bp3-running-text h6{
   white-space:nowrap;
   word-wrap:normal; }
 .bp3-running-text{
-  line-height:1.5;
-  font-size:14px; }
+  font-size:14px;
+  line-height:1.5; }
   .bp3-running-text h1{
     color:#182026;
     font-weight:600;
-    margin-top:40px;
-    margin-bottom:20px; }
+    margin-bottom:20px;
+    margin-top:40px; }
     .bp3-dark .bp3-running-text h1{
       color:#f5f8fa; }
   .bp3-running-text h2{
     color:#182026;
     font-weight:600;
-    margin-top:40px;
-    margin-bottom:20px; }
+    margin-bottom:20px;
+    margin-top:40px; }
     .bp3-dark .bp3-running-text h2{
       color:#f5f8fa; }
   .bp3-running-text h3{
     color:#182026;
     font-weight:600;
-    margin-top:40px;
-    margin-bottom:20px; }
+    margin-bottom:20px;
+    margin-top:40px; }
     .bp3-dark .bp3-running-text h3{
       color:#f5f8fa; }
   .bp3-running-text h4{
     color:#182026;
     font-weight:600;
-    margin-top:40px;
-    margin-bottom:20px; }
+    margin-bottom:20px;
+    margin-top:40px; }
     .bp3-dark .bp3-running-text h4{
       color:#f5f8fa; }
   .bp3-running-text h5{
     color:#182026;
     font-weight:600;
-    margin-top:40px;
-    margin-bottom:20px; }
+    margin-bottom:20px;
+    margin-top:40px; }
     .bp3-dark .bp3-running-text h5{
       color:#f5f8fa; }
   .bp3-running-text h6{
     color:#182026;
     font-weight:600;
-    margin-top:40px;
-    margin-bottom:20px; }
+    margin-bottom:20px;
+    margin-top:40px; }
     .bp3-dark .bp3-running-text h6{
       color:#f5f8fa; }
   .bp3-running-text hr{
-    margin:20px 0;
     border:none;
-    border-bottom:1px solid rgba(16, 22, 26, 0.15); }
+    border-bottom:1px solid rgba(16, 22, 26, 0.15);
+    margin:20px 0; }
     .bp3-dark .bp3-running-text hr{
       border-color:rgba(255, 255, 255, 0.15); }
   .bp3-running-text p{
@@ -1062,12 +1089,12 @@ h6.bp3-heading, .bp3-running-text h6{
 .bp3-text-small{
   font-size:12px; }
 a{
-  text-decoration:none;
-  color:#106ba3; }
+  color:#106ba3;
+  text-decoration:none; }
   a:hover{
+    color:#106ba3;
     cursor:pointer;
-    text-decoration:underline;
-    color:#106ba3; }
+    text-decoration:underline; }
   a .bp3-icon, a .bp3-icon-standard, a .bp3-icon-large{
     color:inherit; }
   a code,
@@ -1082,19 +1109,19 @@ a{
     .bp3-dark a:hover .bp3-icon-large{
       color:inherit; }
 .bp3-running-text code, .bp3-code{
-  text-transform:none;
   font-family:monospace;
+  text-transform:none;
+  background:rgba(255, 255, 255, 0.7);
   border-radius:3px;
   -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2);
           box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2);
-  background:rgba(255, 255, 255, 0.7);
-  padding:2px 5px;
   color:#5c7080;
-  font-size:smaller; }
+  font-size:smaller;
+  padding:2px 5px; }
   .bp3-dark .bp3-running-text code, .bp3-running-text .bp3-dark code, .bp3-dark .bp3-code{
+    background:rgba(16, 22, 26, 0.3);
     -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);
             box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);
-    background:rgba(16, 22, 26, 0.3);
     color:#a7b6c2; }
   .bp3-running-text a > code, a > .bp3-code{
     color:#137cbd; }
@@ -1102,65 +1129,65 @@ a{
       color:inherit; }
 
 .bp3-running-text pre, .bp3-code-block{
-  text-transform:none;
   font-family:monospace;
-  display:block;
-  margin:10px 0;
+  text-transform:none;
+  background:rgba(255, 255, 255, 0.7);
   border-radius:3px;
   -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.15);
           box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.15);
-  background:rgba(255, 255, 255, 0.7);
-  padding:13px 15px 12px;
-  line-height:1.4;
   color:#182026;
+  display:block;
   font-size:13px;
+  line-height:1.4;
+  margin:10px 0;
+  padding:13px 15px 12px;
   word-break:break-all;
   word-wrap:break-word; }
   .bp3-dark .bp3-running-text pre, .bp3-running-text .bp3-dark pre, .bp3-dark .bp3-code-block{
+    background:rgba(16, 22, 26, 0.3);
     -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);
             box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);
-    background:rgba(16, 22, 26, 0.3);
     color:#f5f8fa; }
   .bp3-running-text pre > code, .bp3-code-block > code{
+    background:none;
     -webkit-box-shadow:none;
             box-shadow:none;
-    background:none;
-    padding:0;
     color:inherit;
-    font-size:inherit; }
+    font-size:inherit;
+    padding:0; }
 
 .bp3-running-text kbd, .bp3-key{
-  display:-webkit-inline-box;
-  display:-ms-inline-flexbox;
-  display:inline-flex;
   -webkit-box-align:center;
       -ms-flex-align:center;
           align-items:center;
-  -webkit-box-pack:center;
-      -ms-flex-pack:center;
-          justify-content:center;
+  background:#ffffff;
   border-radius:3px;
   -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.2);
           box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.2);
-  background:#ffffff;
-  min-width:24px;
-  height:24px;
-  padding:3px 6px;
-  vertical-align:middle;
-  line-height:24px;
   color:#5c7080;
+  display:-webkit-inline-box;
+  display:-ms-inline-flexbox;
+  display:inline-flex;
   font-family:inherit;
-  font-size:12px; }
+  font-size:12px;
+  height:24px;
+  -webkit-box-pack:center;
+      -ms-flex-pack:center;
+          justify-content:center;
+  line-height:24px;
+  min-width:24px;
+  padding:3px 6px;
+  vertical-align:middle; }
   .bp3-running-text kbd .bp3-icon, .bp3-key .bp3-icon, .bp3-running-text kbd .bp3-icon-standard, .bp3-key .bp3-icon-standard, .bp3-running-text kbd .bp3-icon-large, .bp3-key .bp3-icon-large{
     margin-right:5px; }
   .bp3-dark .bp3-running-text kbd, .bp3-running-text .bp3-dark kbd, .bp3-dark .bp3-key{
+    background:#394b59;
     -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.4);
             box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.4);
-    background:#394b59;
     color:#a7b6c2; }
 .bp3-running-text blockquote, .bp3-blockquote{
-  margin:0 0 10px;
   border-left:solid 4px rgba(167, 182, 194, 0.5);
+  margin:0 0 10px;
   padding:0 20px; }
   .bp3-dark .bp3-running-text blockquote, .bp3-running-text .bp3-dark blockquote, .bp3-dark .bp3-blockquote{
     border-color:rgba(115, 134, 148, 0.5); }
@@ -1177,9 +1204,9 @@ a{
     margin-top:5px; }
 
 .bp3-list-unstyled{
+  list-style:none;
   margin:0;
-  padding:0;
-  list-style:none; }
+  padding:0; }
   .bp3-list-unstyled li{
     padding:0; }
 .bp3-rtl{
@@ -1207,9 +1234,12 @@ a{
   display:-ms-flexbox;
   display:flex; }
   .bp3-alert-body .bp3-icon{
-    margin-top:0;
+    font-size:40px;
     margin-right:20px;
-    font-size:40px; }
+    margin-top:0; }
+
+.bp3-alert-contents{
+  word-break:break-word; }
 
 .bp3-alert-footer{
   display:-webkit-box;
@@ -1223,45 +1253,45 @@ a{
   .bp3-alert-footer .bp3-button{
     margin-left:10px; }
 .bp3-breadcrumbs{
+  -webkit-box-align:center;
+      -ms-flex-align:center;
+          align-items:center;
+  cursor:default;
   display:-webkit-box;
   display:-ms-flexbox;
   display:flex;
   -ms-flex-wrap:wrap;
       flex-wrap:wrap;
-  -webkit-box-align:center;
-      -ms-flex-align:center;
-          align-items:center;
-  margin:0;
-  cursor:default;
   height:30px;
-  padding:0;
-  list-style:none; }
+  list-style:none;
+  margin:0;
+  padding:0; }
   .bp3-breadcrumbs > li{
-    display:-webkit-box;
-    display:-ms-flexbox;
-    display:flex;
     -webkit-box-align:center;
         -ms-flex-align:center;
-            align-items:center; }
+            align-items:center;
+    display:-webkit-box;
+    display:-ms-flexbox;
+    display:flex; }
     .bp3-breadcrumbs > li::after{
+      background:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cpath fill-rule='evenodd' clip-rule='evenodd' d='M10.71 7.29l-4-4a1.003 1.003 0 00-1.42 1.42L8.59 8 5.3 11.29c-.19.18-.3.43-.3.71a1.003 1.003 0 001.71.71l4-4c.18-.18.29-.43.29-.71 0-.28-.11-.53-.29-.71z' fill='%235C7080'/%3e%3c/svg%3e");
+      content:"";
       display:block;
-      margin:0 5px;
-      background:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cpath fill-rule='evenodd' clip-rule='evenodd' d='M10.71 7.29l-4-4a1.003 1.003 0 0 0-1.42 1.42L8.59 8 5.3 11.29c-.19.18-.3.43-.3.71a1.003 1.003 0 0 0 1.71.71l4-4c.18-.18.29-.43.29-.71 0-.28-.11-.53-.29-.71z' fill='%235C7080'/%3e%3c/svg%3e");
-      width:16px;
       height:16px;
-      content:""; }
+      margin:0 5px;
+      width:16px; }
     .bp3-breadcrumbs > li:last-of-type::after{
       display:none; }
 
 .bp3-breadcrumb,
 .bp3-breadcrumb-current,
 .bp3-breadcrumbs-collapsed{
-  display:-webkit-inline-box;
-  display:-ms-inline-flexbox;
-  display:inline-flex;
   -webkit-box-align:center;
       -ms-flex-align:center;
           align-items:center;
+  display:-webkit-inline-box;
+  display:-ms-inline-flexbox;
+  display:inline-flex;
   font-size:16px; }
 
 .bp3-breadcrumb,
@@ -1272,8 +1302,8 @@ a{
   text-decoration:none; }
 
 .bp3-breadcrumb.bp3-disabled{
-  cursor:not-allowed;
-  color:rgba(92, 112, 128, 0.6); }
+  color:rgba(92, 112, 128, 0.6);
+  cursor:not-allowed; }
 
 .bp3-breadcrumb .bp3-icon{
   margin-right:5px; }
@@ -1282,28 +1312,28 @@ a{
   color:inherit;
   font-weight:600; }
   .bp3-breadcrumb-current .bp3-input{
-    vertical-align:baseline;
     font-size:inherit;
-    font-weight:inherit; }
+    font-weight:inherit;
+    vertical-align:baseline; }
 
 .bp3-breadcrumbs-collapsed{
-  margin-right:2px;
+  background:#ced9e0;
   border:none;
   border-radius:3px;
-  background:#ced9e0;
   cursor:pointer;
+  margin-right:2px;
   padding:1px 5px;
   vertical-align:text-bottom; }
   .bp3-breadcrumbs-collapsed::before{
-    display:block;
     background:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cg fill='%235C7080'%3e%3ccircle cx='2' cy='8.03' r='2'/%3e%3ccircle cx='14' cy='8.03' r='2'/%3e%3ccircle cx='8' cy='8.03' r='2'/%3e%3c/g%3e%3c/svg%3e") center no-repeat;
-    width:16px;
+    content:"";
+    display:block;
     height:16px;
-    content:""; }
+    width:16px; }
   .bp3-breadcrumbs-collapsed:hover{
     background:#bfccd6;
-    text-decoration:none;
-    color:#182026; }
+    color:#182026;
+    text-decoration:none; }
 
 .bp3-dark .bp3-breadcrumb,
 .bp3-dark .bp3-breadcrumbs-collapsed{
@@ -1334,18 +1364,18 @@ a{
   -webkit-box-align:center;
       -ms-flex-align:center;
           align-items:center;
-  -webkit-box-pack:center;
-      -ms-flex-pack:center;
-          justify-content:center;
   border:none;
   border-radius:3px;
   cursor:pointer;
+  font-size:14px;
+  -webkit-box-pack:center;
+      -ms-flex-pack:center;
+          justify-content:center;
   padding:5px 10px;
-  vertical-align:middle;
   text-align:left;
-  font-size:14px;
-  min-width:30px;
-  min-height:30px; }
+  vertical-align:middle;
+  min-height:30px;
+  min-width:30px; }
   .bp3-button > *{
     -webkit-box-flex:0;
         -ms-flex-positive:0;
@@ -1380,140 +1410,140 @@ a{
   .bp3-align-left .bp3-button{
     text-align:left; }
   .bp3-button:not([class*="bp3-intent-"]){
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
     background-color:#f5f8fa;
     background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.8)), to(rgba(255, 255, 255, 0)));
     background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.8), rgba(255, 255, 255, 0));
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
     color:#182026; }
     .bp3-button:not([class*="bp3-intent-"]):hover{
-      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
-              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
       background-clip:padding-box;
-      background-color:#ebf1f5; }
+      background-color:#ebf1f5;
+      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1); }
     .bp3-button:not([class*="bp3-intent-"]):active, .bp3-button:not([class*="bp3-intent-"]).bp3-active{
-      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
       background-color:#d8e1e8;
-      background-image:none; }
+      background-image:none;
+      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
     .bp3-button:not([class*="bp3-intent-"]):disabled, .bp3-button:not([class*="bp3-intent-"]).bp3-disabled{
-      outline:none;
-      -webkit-box-shadow:none;
-              box-shadow:none;
       background-color:rgba(206, 217, 224, 0.5);
       background-image:none;
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      color:rgba(92, 112, 128, 0.6);
       cursor:not-allowed;
-      color:rgba(92, 112, 128, 0.6); }
+      outline:none; }
       .bp3-button:not([class*="bp3-intent-"]):disabled.bp3-active, .bp3-button:not([class*="bp3-intent-"]):disabled.bp3-active:hover, .bp3-button:not([class*="bp3-intent-"]).bp3-disabled.bp3-active, .bp3-button:not([class*="bp3-intent-"]).bp3-disabled.bp3-active:hover{
         background:rgba(206, 217, 224, 0.7); }
   .bp3-button.bp3-intent-primary{
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
     background-color:#137cbd;
     background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.1)), to(rgba(255, 255, 255, 0)));
     background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.1), rgba(255, 255, 255, 0));
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
     color:#ffffff; }
     .bp3-button.bp3-intent-primary:hover, .bp3-button.bp3-intent-primary:active, .bp3-button.bp3-intent-primary.bp3-active{
       color:#ffffff; }
     .bp3-button.bp3-intent-primary:hover{
+      background-color:#106ba3;
       -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-      background-color:#106ba3; }
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2); }
     .bp3-button.bp3-intent-primary:active, .bp3-button.bp3-intent-primary.bp3-active{
-      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
       background-color:#0e5a8a;
-      background-image:none; }
+      background-image:none;
+      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
     .bp3-button.bp3-intent-primary:disabled, .bp3-button.bp3-intent-primary.bp3-disabled{
+      background-color:rgba(19, 124, 189, 0.5);
+      background-image:none;
       border-color:transparent;
       -webkit-box-shadow:none;
               box-shadow:none;
-      background-color:rgba(19, 124, 189, 0.5);
-      background-image:none;
       color:rgba(255, 255, 255, 0.6); }
   .bp3-button.bp3-intent-success{
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
     background-color:#0f9960;
     background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.1)), to(rgba(255, 255, 255, 0)));
     background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.1), rgba(255, 255, 255, 0));
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
     color:#ffffff; }
     .bp3-button.bp3-intent-success:hover, .bp3-button.bp3-intent-success:active, .bp3-button.bp3-intent-success.bp3-active{
       color:#ffffff; }
     .bp3-button.bp3-intent-success:hover{
+      background-color:#0d8050;
       -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-      background-color:#0d8050; }
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2); }
     .bp3-button.bp3-intent-success:active, .bp3-button.bp3-intent-success.bp3-active{
-      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
       background-color:#0a6640;
-      background-image:none; }
+      background-image:none;
+      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
     .bp3-button.bp3-intent-success:disabled, .bp3-button.bp3-intent-success.bp3-disabled{
+      background-color:rgba(15, 153, 96, 0.5);
+      background-image:none;
       border-color:transparent;
       -webkit-box-shadow:none;
               box-shadow:none;
-      background-color:rgba(15, 153, 96, 0.5);
-      background-image:none;
       color:rgba(255, 255, 255, 0.6); }
   .bp3-button.bp3-intent-warning{
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
     background-color:#d9822b;
     background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.1)), to(rgba(255, 255, 255, 0)));
     background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.1), rgba(255, 255, 255, 0));
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
     color:#ffffff; }
     .bp3-button.bp3-intent-warning:hover, .bp3-button.bp3-intent-warning:active, .bp3-button.bp3-intent-warning.bp3-active{
       color:#ffffff; }
     .bp3-button.bp3-intent-warning:hover{
+      background-color:#bf7326;
       -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-      background-color:#bf7326; }
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2); }
     .bp3-button.bp3-intent-warning:active, .bp3-button.bp3-intent-warning.bp3-active{
-      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
       background-color:#a66321;
-      background-image:none; }
+      background-image:none;
+      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
     .bp3-button.bp3-intent-warning:disabled, .bp3-button.bp3-intent-warning.bp3-disabled{
+      background-color:rgba(217, 130, 43, 0.5);
+      background-image:none;
       border-color:transparent;
       -webkit-box-shadow:none;
               box-shadow:none;
-      background-color:rgba(217, 130, 43, 0.5);
-      background-image:none;
       color:rgba(255, 255, 255, 0.6); }
   .bp3-button.bp3-intent-danger{
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
     background-color:#db3737;
     background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.1)), to(rgba(255, 255, 255, 0)));
     background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.1), rgba(255, 255, 255, 0));
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
     color:#ffffff; }
     .bp3-button.bp3-intent-danger:hover, .bp3-button.bp3-intent-danger:active, .bp3-button.bp3-intent-danger.bp3-active{
       color:#ffffff; }
     .bp3-button.bp3-intent-danger:hover{
+      background-color:#c23030;
       -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-      background-color:#c23030; }
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2); }
     .bp3-button.bp3-intent-danger:active, .bp3-button.bp3-intent-danger.bp3-active{
-      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
       background-color:#a82a2a;
-      background-image:none; }
+      background-image:none;
+      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
     .bp3-button.bp3-intent-danger:disabled, .bp3-button.bp3-intent-danger.bp3-disabled{
+      background-color:rgba(219, 55, 55, 0.5);
+      background-image:none;
       border-color:transparent;
       -webkit-box-shadow:none;
               box-shadow:none;
-      background-color:rgba(219, 55, 55, 0.5);
-      background-image:none;
       color:rgba(255, 255, 255, 0.6); }
   .bp3-button[class*="bp3-intent-"] .bp3-button-spinner .bp3-spinner-head{
     stroke:#ffffff; }
   .bp3-button.bp3-large,
   .bp3-large .bp3-button{
-    min-width:40px;
     min-height:40px;
-    padding:5px 15px;
-    font-size:16px; }
+    min-width:40px;
+    font-size:16px;
+    padding:5px 15px; }
     .bp3-button.bp3-large::before,
     .bp3-button.bp3-large > *,
     .bp3-large .bp3-button::before,
@@ -1526,24 +1556,24 @@ a{
       margin-right:0; }
   .bp3-button.bp3-small,
   .bp3-small .bp3-button{
-    min-width:24px;
     min-height:24px;
+    min-width:24px;
     padding:0 7px; }
   .bp3-button.bp3-loading{
     position:relative; }
     .bp3-button.bp3-loading[class*="bp3-icon-"]::before{
       visibility:hidden; }
     .bp3-button.bp3-loading .bp3-button-spinner{
-      position:absolute;
-      margin:0; }
+      margin:0;
+      position:absolute; }
     .bp3-button.bp3-loading > :not(.bp3-button-spinner){
       visibility:hidden; }
   .bp3-button[class*="bp3-icon-"]::before{
-    line-height:1;
     font-family:"Icons16", sans-serif;
     font-size:16px;
-    font-weight:400;
     font-style:normal;
+    font-weight:400;
+    line-height:1;
     -moz-osx-font-smoothing:grayscale;
     -webkit-font-smoothing:antialiased;
     color:#5c7080; }
@@ -1555,28 +1585,28 @@ a{
   .bp3-button .bp3-spinner + .bp3-icon:last-child{
     margin:0 -7px; }
   .bp3-dark .bp3-button:not([class*="bp3-intent-"]){
-    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
     background-color:#394b59;
     background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.05)), to(rgba(255, 255, 255, 0)));
     background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.05), rgba(255, 255, 255, 0));
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
     color:#f5f8fa; }
     .bp3-dark .bp3-button:not([class*="bp3-intent-"]):hover, .bp3-dark .bp3-button:not([class*="bp3-intent-"]):active, .bp3-dark .bp3-button:not([class*="bp3-intent-"]).bp3-active{
       color:#f5f8fa; }
     .bp3-dark .bp3-button:not([class*="bp3-intent-"]):hover{
+      background-color:#30404d;
       -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-      background-color:#30404d; }
+              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
     .bp3-dark .bp3-button:not([class*="bp3-intent-"]):active, .bp3-dark .bp3-button:not([class*="bp3-intent-"]).bp3-active{
-      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
       background-color:#202b33;
-      background-image:none; }
+      background-image:none;
+      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
     .bp3-dark .bp3-button:not([class*="bp3-intent-"]):disabled, .bp3-dark .bp3-button:not([class*="bp3-intent-"]).bp3-disabled{
-      -webkit-box-shadow:none;
-              box-shadow:none;
       background-color:rgba(57, 75, 89, 0.5);
       background-image:none;
+      -webkit-box-shadow:none;
+              box-shadow:none;
       color:rgba(167, 182, 194, 0.6); }
       .bp3-dark .bp3-button:not([class*="bp3-intent-"]):disabled.bp3-active, .bp3-dark .bp3-button:not([class*="bp3-intent-"]).bp3-disabled.bp3-active{
         background:rgba(57, 75, 89, 0.7); }
@@ -1597,9 +1627,9 @@ a{
       -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
               box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
     .bp3-dark .bp3-button[class*="bp3-intent-"]:disabled, .bp3-dark .bp3-button[class*="bp3-intent-"].bp3-disabled{
+      background-image:none;
       -webkit-box-shadow:none;
               box-shadow:none;
-      background-image:none;
       color:rgba(255, 255, 255, 0.3); }
     .bp3-dark .bp3-button[class*="bp3-intent-"] .bp3-button-spinner .bp3-spinner-head{
       stroke:#8a9ba8; }
@@ -1609,35 +1639,35 @@ a{
   .bp3-button[class*="bp3-intent-"] .bp3-icon, .bp3-button[class*="bp3-intent-"] .bp3-icon-standard, .bp3-button[class*="bp3-intent-"] .bp3-icon-large{
     color:inherit !important; }
   .bp3-button.bp3-minimal{
+    background:none;
     -webkit-box-shadow:none;
-            box-shadow:none;
-    background:none; }
+            box-shadow:none; }
     .bp3-button.bp3-minimal:hover{
+      background:rgba(167, 182, 194, 0.3);
       -webkit-box-shadow:none;
               box-shadow:none;
-      background:rgba(167, 182, 194, 0.3);
-      text-decoration:none;
-      color:#182026; }
+      color:#182026;
+      text-decoration:none; }
     .bp3-button.bp3-minimal:active, .bp3-button.bp3-minimal.bp3-active{
+      background:rgba(115, 134, 148, 0.3);
       -webkit-box-shadow:none;
               box-shadow:none;
-      background:rgba(115, 134, 148, 0.3);
       color:#182026; }
     .bp3-button.bp3-minimal:disabled, .bp3-button.bp3-minimal:disabled:hover, .bp3-button.bp3-minimal.bp3-disabled, .bp3-button.bp3-minimal.bp3-disabled:hover{
       background:none;
-      cursor:not-allowed;
-      color:rgba(92, 112, 128, 0.6); }
+      color:rgba(92, 112, 128, 0.6);
+      cursor:not-allowed; }
       .bp3-button.bp3-minimal:disabled.bp3-active, .bp3-button.bp3-minimal:disabled:hover.bp3-active, .bp3-button.bp3-minimal.bp3-disabled.bp3-active, .bp3-button.bp3-minimal.bp3-disabled:hover.bp3-active{
         background:rgba(115, 134, 148, 0.3); }
     .bp3-dark .bp3-button.bp3-minimal{
+      background:none;
       -webkit-box-shadow:none;
               box-shadow:none;
-      background:none;
       color:inherit; }
       .bp3-dark .bp3-button.bp3-minimal:hover, .bp3-dark .bp3-button.bp3-minimal:active, .bp3-dark .bp3-button.bp3-minimal.bp3-active{
+        background:none;
         -webkit-box-shadow:none;
-                box-shadow:none;
-        background:none; }
+                box-shadow:none; }
       .bp3-dark .bp3-button.bp3-minimal:hover{
         background:rgba(138, 155, 168, 0.15); }
       .bp3-dark .bp3-button.bp3-minimal:active, .bp3-dark .bp3-button.bp3-minimal.bp3-active{
@@ -1645,16 +1675,16 @@ a{
         color:#f5f8fa; }
       .bp3-dark .bp3-button.bp3-minimal:disabled, .bp3-dark .bp3-button.bp3-minimal:disabled:hover, .bp3-dark .bp3-button.bp3-minimal.bp3-disabled, .bp3-dark .bp3-button.bp3-minimal.bp3-disabled:hover{
         background:none;
-        cursor:not-allowed;
-        color:rgba(167, 182, 194, 0.6); }
+        color:rgba(167, 182, 194, 0.6);
+        cursor:not-allowed; }
         .bp3-dark .bp3-button.bp3-minimal:disabled.bp3-active, .bp3-dark .bp3-button.bp3-minimal:disabled:hover.bp3-active, .bp3-dark .bp3-button.bp3-minimal.bp3-disabled.bp3-active, .bp3-dark .bp3-button.bp3-minimal.bp3-disabled:hover.bp3-active{
           background:rgba(138, 155, 168, 0.3); }
     .bp3-button.bp3-minimal.bp3-intent-primary{
       color:#106ba3; }
       .bp3-button.bp3-minimal.bp3-intent-primary:hover, .bp3-button.bp3-minimal.bp3-intent-primary:active, .bp3-button.bp3-minimal.bp3-intent-primary.bp3-active{
+        background:none;
         -webkit-box-shadow:none;
                 box-shadow:none;
-        background:none;
         color:#106ba3; }
       .bp3-button.bp3-minimal.bp3-intent-primary:hover{
         background:rgba(19, 124, 189, 0.15);
@@ -1685,9 +1715,9 @@ a{
     .bp3-button.bp3-minimal.bp3-intent-success{
       color:#0d8050; }
       .bp3-button.bp3-minimal.bp3-intent-success:hover, .bp3-button.bp3-minimal.bp3-intent-success:active, .bp3-button.bp3-minimal.bp3-intent-success.bp3-active{
+        background:none;
         -webkit-box-shadow:none;
                 box-shadow:none;
-        background:none;
         color:#0d8050; }
       .bp3-button.bp3-minimal.bp3-intent-success:hover{
         background:rgba(15, 153, 96, 0.15);
@@ -1718,9 +1748,9 @@ a{
     .bp3-button.bp3-minimal.bp3-intent-warning{
       color:#bf7326; }
       .bp3-button.bp3-minimal.bp3-intent-warning:hover, .bp3-button.bp3-minimal.bp3-intent-warning:active, .bp3-button.bp3-minimal.bp3-intent-warning.bp3-active{
+        background:none;
         -webkit-box-shadow:none;
                 box-shadow:none;
-        background:none;
         color:#bf7326; }
       .bp3-button.bp3-minimal.bp3-intent-warning:hover{
         background:rgba(217, 130, 43, 0.15);
@@ -1751,9 +1781,9 @@ a{
     .bp3-button.bp3-minimal.bp3-intent-danger{
       color:#c23030; }
       .bp3-button.bp3-minimal.bp3-intent-danger:hover, .bp3-button.bp3-minimal.bp3-intent-danger:active, .bp3-button.bp3-minimal.bp3-intent-danger.bp3-active{
+        background:none;
         -webkit-box-shadow:none;
                 box-shadow:none;
-        background:none;
         color:#c23030; }
       .bp3-button.bp3-minimal.bp3-intent-danger:hover{
         background:rgba(219, 55, 55, 0.15);
@@ -1781,6 +1811,220 @@ a{
           color:rgba(255, 115, 115, 0.5); }
           .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger:disabled.bp3-active, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger.bp3-disabled.bp3-active{
             background:rgba(219, 55, 55, 0.3); }
+  .bp3-button.bp3-outlined{
+    background:none;
+    -webkit-box-shadow:none;
+            box-shadow:none;
+    border:1px solid rgba(24, 32, 38, 0.2);
+    -webkit-box-sizing:border-box;
+            box-sizing:border-box; }
+    .bp3-button.bp3-outlined:hover{
+      background:rgba(167, 182, 194, 0.3);
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      color:#182026;
+      text-decoration:none; }
+    .bp3-button.bp3-outlined:active, .bp3-button.bp3-outlined.bp3-active{
+      background:rgba(115, 134, 148, 0.3);
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      color:#182026; }
+    .bp3-button.bp3-outlined:disabled, .bp3-button.bp3-outlined:disabled:hover, .bp3-button.bp3-outlined.bp3-disabled, .bp3-button.bp3-outlined.bp3-disabled:hover{
+      background:none;
+      color:rgba(92, 112, 128, 0.6);
+      cursor:not-allowed; }
+      .bp3-button.bp3-outlined:disabled.bp3-active, .bp3-button.bp3-outlined:disabled:hover.bp3-active, .bp3-button.bp3-outlined.bp3-disabled.bp3-active, .bp3-button.bp3-outlined.bp3-disabled:hover.bp3-active{
+        background:rgba(115, 134, 148, 0.3); }
+    .bp3-dark .bp3-button.bp3-outlined{
+      background:none;
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      color:inherit; }
+      .bp3-dark .bp3-button.bp3-outlined:hover, .bp3-dark .bp3-button.bp3-outlined:active, .bp3-dark .bp3-button.bp3-outlined.bp3-active{
+        background:none;
+        -webkit-box-shadow:none;
+                box-shadow:none; }
+      .bp3-dark .bp3-button.bp3-outlined:hover{
+        background:rgba(138, 155, 168, 0.15); }
+      .bp3-dark .bp3-button.bp3-outlined:active, .bp3-dark .bp3-button.bp3-outlined.bp3-active{
+        background:rgba(138, 155, 168, 0.3);
+        color:#f5f8fa; }
+      .bp3-dark .bp3-button.bp3-outlined:disabled, .bp3-dark .bp3-button.bp3-outlined:disabled:hover, .bp3-dark .bp3-button.bp3-outlined.bp3-disabled, .bp3-dark .bp3-button.bp3-outlined.bp3-disabled:hover{
+        background:none;
+        color:rgba(167, 182, 194, 0.6);
+        cursor:not-allowed; }
+        .bp3-dark .bp3-button.bp3-outlined:disabled.bp3-active, .bp3-dark .bp3-button.bp3-outlined:disabled:hover.bp3-active, .bp3-dark .bp3-button.bp3-outlined.bp3-disabled.bp3-active, .bp3-dark .bp3-button.bp3-outlined.bp3-disabled:hover.bp3-active{
+          background:rgba(138, 155, 168, 0.3); }
+    .bp3-button.bp3-outlined.bp3-intent-primary{
+      color:#106ba3; }
+      .bp3-button.bp3-outlined.bp3-intent-primary:hover, .bp3-button.bp3-outlined.bp3-intent-primary:active, .bp3-button.bp3-outlined.bp3-intent-primary.bp3-active{
+        background:none;
+        -webkit-box-shadow:none;
+                box-shadow:none;
+        color:#106ba3; }
+      .bp3-button.bp3-outlined.bp3-intent-primary:hover{
+        background:rgba(19, 124, 189, 0.15);
+        color:#106ba3; }
+      .bp3-button.bp3-outlined.bp3-intent-primary:active, .bp3-button.bp3-outlined.bp3-intent-primary.bp3-active{
+        background:rgba(19, 124, 189, 0.3);
+        color:#106ba3; }
+      .bp3-button.bp3-outlined.bp3-intent-primary:disabled, .bp3-button.bp3-outlined.bp3-intent-primary.bp3-disabled{
+        background:none;
+        color:rgba(16, 107, 163, 0.5); }
+        .bp3-button.bp3-outlined.bp3-intent-primary:disabled.bp3-active, .bp3-button.bp3-outlined.bp3-intent-primary.bp3-disabled.bp3-active{
+          background:rgba(19, 124, 189, 0.3); }
+      .bp3-button.bp3-outlined.bp3-intent-primary .bp3-button-spinner .bp3-spinner-head{
+        stroke:#106ba3; }
+      .bp3-dark .bp3-button.bp3-outlined.bp3-intent-primary{
+        color:#48aff0; }
+        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-primary:hover{
+          background:rgba(19, 124, 189, 0.2);
+          color:#48aff0; }
+        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-primary:active, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-primary.bp3-active{
+          background:rgba(19, 124, 189, 0.3);
+          color:#48aff0; }
+        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-primary:disabled, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-primary.bp3-disabled{
+          background:none;
+          color:rgba(72, 175, 240, 0.5); }
+          .bp3-dark .bp3-button.bp3-outlined.bp3-intent-primary:disabled.bp3-active, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-primary.bp3-disabled.bp3-active{
+            background:rgba(19, 124, 189, 0.3); }
+    .bp3-button.bp3-outlined.bp3-intent-success{
+      color:#0d8050; }
+      .bp3-button.bp3-outlined.bp3-intent-success:hover, .bp3-button.bp3-outlined.bp3-intent-success:active, .bp3-button.bp3-outlined.bp3-intent-success.bp3-active{
+        background:none;
+        -webkit-box-shadow:none;
+                box-shadow:none;
+        color:#0d8050; }
+      .bp3-button.bp3-outlined.bp3-intent-success:hover{
+        background:rgba(15, 153, 96, 0.15);
+        color:#0d8050; }
+      .bp3-button.bp3-outlined.bp3-intent-success:active, .bp3-button.bp3-outlined.bp3-intent-success.bp3-active{
+        background:rgba(15, 153, 96, 0.3);
+        color:#0d8050; }
+      .bp3-button.bp3-outlined.bp3-intent-success:disabled, .bp3-button.bp3-outlined.bp3-intent-success.bp3-disabled{
+        background:none;
+        color:rgba(13, 128, 80, 0.5); }
+        .bp3-button.bp3-outlined.bp3-intent-success:disabled.bp3-active, .bp3-button.bp3-outlined.bp3-intent-success.bp3-disabled.bp3-active{
+          background:rgba(15, 153, 96, 0.3); }
+      .bp3-button.bp3-outlined.bp3-intent-success .bp3-button-spinner .bp3-spinner-head{
+        stroke:#0d8050; }
+      .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success{
+        color:#3dcc91; }
+        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success:hover{
+          background:rgba(15, 153, 96, 0.2);
+          color:#3dcc91; }
+        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success:active, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success.bp3-active{
+          background:rgba(15, 153, 96, 0.3);
+          color:#3dcc91; }
+        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success:disabled, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success.bp3-disabled{
+          background:none;
+          color:rgba(61, 204, 145, 0.5); }
+          .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success:disabled.bp3-active, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success.bp3-disabled.bp3-active{
+            background:rgba(15, 153, 96, 0.3); }
+    .bp3-button.bp3-outlined.bp3-intent-warning{
+      color:#bf7326; }
+      .bp3-button.bp3-outlined.bp3-intent-warning:hover, .bp3-button.bp3-outlined.bp3-intent-warning:active, .bp3-button.bp3-outlined.bp3-intent-warning.bp3-active{
+        background:none;
+        -webkit-box-shadow:none;
+                box-shadow:none;
+        color:#bf7326; }
+      .bp3-button.bp3-outlined.bp3-intent-warning:hover{
+        background:rgba(217, 130, 43, 0.15);
+        color:#bf7326; }
+      .bp3-button.bp3-outlined.bp3-intent-warning:active, .bp3-button.bp3-outlined.bp3-intent-warning.bp3-active{
+        background:rgba(217, 130, 43, 0.3);
+        color:#bf7326; }
+      .bp3-button.bp3-outlined.bp3-intent-warning:disabled, .bp3-button.bp3-outlined.bp3-intent-warning.bp3-disabled{
+        background:none;
+        color:rgba(191, 115, 38, 0.5); }
+        .bp3-button.bp3-outlined.bp3-intent-warning:disabled.bp3-active, .bp3-button.bp3-outlined.bp3-intent-warning.bp3-disabled.bp3-active{
+          background:rgba(217, 130, 43, 0.3); }
+      .bp3-button.bp3-outlined.bp3-intent-warning .bp3-button-spinner .bp3-spinner-head{
+        stroke:#bf7326; }
+      .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning{
+        color:#ffb366; }
+        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning:hover{
+          background:rgba(217, 130, 43, 0.2);
+          color:#ffb366; }
+        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning:active, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning.bp3-active{
+          background:rgba(217, 130, 43, 0.3);
+          color:#ffb366; }
+        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning:disabled, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning.bp3-disabled{
+          background:none;
+          color:rgba(255, 179, 102, 0.5); }
+          .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning:disabled.bp3-active, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning.bp3-disabled.bp3-active{
+            background:rgba(217, 130, 43, 0.3); }
+    .bp3-button.bp3-outlined.bp3-intent-danger{
+      color:#c23030; }
+      .bp3-button.bp3-outlined.bp3-intent-danger:hover, .bp3-button.bp3-outlined.bp3-intent-danger:active, .bp3-button.bp3-outlined.bp3-intent-danger.bp3-active{
+        background:none;
+        -webkit-box-shadow:none;
+                box-shadow:none;
+        color:#c23030; }
+      .bp3-button.bp3-outlined.bp3-intent-danger:hover{
+        background:rgba(219, 55, 55, 0.15);
+        color:#c23030; }
+      .bp3-button.bp3-outlined.bp3-intent-danger:active, .bp3-button.bp3-outlined.bp3-intent-danger.bp3-active{
+        background:rgba(219, 55, 55, 0.3);
+        color:#c23030; }
+      .bp3-button.bp3-outlined.bp3-intent-danger:disabled, .bp3-button.bp3-outlined.bp3-intent-danger.bp3-disabled{
+        background:none;
+        color:rgba(194, 48, 48, 0.5); }
+        .bp3-button.bp3-outlined.bp3-intent-danger:disabled.bp3-active, .bp3-button.bp3-outlined.bp3-intent-danger.bp3-disabled.bp3-active{
+          background:rgba(219, 55, 55, 0.3); }
+      .bp3-button.bp3-outlined.bp3-intent-danger .bp3-button-spinner .bp3-spinner-head{
+        stroke:#c23030; }
+      .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger{
+        color:#ff7373; }
+        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger:hover{
+          background:rgba(219, 55, 55, 0.2);
+          color:#ff7373; }
+        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger:active, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger.bp3-active{
+          background:rgba(219, 55, 55, 0.3);
+          color:#ff7373; }
+        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger:disabled, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger.bp3-disabled{
+          background:none;
+          color:rgba(255, 115, 115, 0.5); }
+          .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger:disabled.bp3-active, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger.bp3-disabled.bp3-active{
+            background:rgba(219, 55, 55, 0.3); }
+    .bp3-button.bp3-outlined:disabled, .bp3-button.bp3-outlined.bp3-disabled, .bp3-button.bp3-outlined:disabled:hover, .bp3-button.bp3-outlined.bp3-disabled:hover{
+      border-color:rgba(92, 112, 128, 0.1); }
+    .bp3-dark .bp3-button.bp3-outlined{
+      border-color:rgba(255, 255, 255, 0.4); }
+      .bp3-dark .bp3-button.bp3-outlined:disabled, .bp3-dark .bp3-button.bp3-outlined:disabled:hover, .bp3-dark .bp3-button.bp3-outlined.bp3-disabled, .bp3-dark .bp3-button.bp3-outlined.bp3-disabled:hover{
+        border-color:rgba(255, 255, 255, 0.2); }
+    .bp3-button.bp3-outlined.bp3-intent-primary{
+      border-color:rgba(16, 107, 163, 0.6); }
+      .bp3-button.bp3-outlined.bp3-intent-primary:disabled, .bp3-button.bp3-outlined.bp3-intent-primary.bp3-disabled{
+        border-color:rgba(16, 107, 163, 0.2); }
+      .bp3-dark .bp3-button.bp3-outlined.bp3-intent-primary{
+        border-color:rgba(72, 175, 240, 0.6); }
+        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-primary:disabled, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-primary.bp3-disabled{
+          border-color:rgba(72, 175, 240, 0.2); }
+    .bp3-button.bp3-outlined.bp3-intent-success{
+      border-color:rgba(13, 128, 80, 0.6); }
+      .bp3-button.bp3-outlined.bp3-intent-success:disabled, .bp3-button.bp3-outlined.bp3-intent-success.bp3-disabled{
+        border-color:rgba(13, 128, 80, 0.2); }
+      .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success{
+        border-color:rgba(61, 204, 145, 0.6); }
+        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success:disabled, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success.bp3-disabled{
+          border-color:rgba(61, 204, 145, 0.2); }
+    .bp3-button.bp3-outlined.bp3-intent-warning{
+      border-color:rgba(191, 115, 38, 0.6); }
+      .bp3-button.bp3-outlined.bp3-intent-warning:disabled, .bp3-button.bp3-outlined.bp3-intent-warning.bp3-disabled{
+        border-color:rgba(191, 115, 38, 0.2); }
+      .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning{
+        border-color:rgba(255, 179, 102, 0.6); }
+        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning:disabled, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning.bp3-disabled{
+          border-color:rgba(255, 179, 102, 0.2); }
+    .bp3-button.bp3-outlined.bp3-intent-danger{
+      border-color:rgba(194, 48, 48, 0.6); }
+      .bp3-button.bp3-outlined.bp3-intent-danger:disabled, .bp3-button.bp3-outlined.bp3-intent-danger.bp3-disabled{
+        border-color:rgba(194, 48, 48, 0.2); }
+      .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger{
+        border-color:rgba(255, 115, 115, 0.6); }
+        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger:disabled, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger.bp3-disabled{
+          border-color:rgba(255, 115, 115, 0.2); }
 
 a.bp3-button{
   text-align:center;
@@ -1833,43 +2077,43 @@ a.bp3-button{
         z-index:8; }
   .bp3-button-group:not(.bp3-minimal) > .bp3-popover-wrapper:not(:first-child) .bp3-button,
   .bp3-button-group:not(.bp3-minimal) > .bp3-button:not(:first-child){
-    border-top-left-radius:0;
-    border-bottom-left-radius:0; }
+    border-bottom-left-radius:0;
+    border-top-left-radius:0; }
   .bp3-button-group:not(.bp3-minimal) > .bp3-popover-wrapper:not(:last-child) .bp3-button,
   .bp3-button-group:not(.bp3-minimal) > .bp3-button:not(:last-child){
-    margin-right:-1px;
+    border-bottom-right-radius:0;
     border-top-right-radius:0;
-    border-bottom-right-radius:0; }
+    margin-right:-1px; }
   .bp3-button-group.bp3-minimal .bp3-button{
+    background:none;
     -webkit-box-shadow:none;
-            box-shadow:none;
-    background:none; }
+            box-shadow:none; }
     .bp3-button-group.bp3-minimal .bp3-button:hover{
+      background:rgba(167, 182, 194, 0.3);
       -webkit-box-shadow:none;
               box-shadow:none;
-      background:rgba(167, 182, 194, 0.3);
-      text-decoration:none;
-      color:#182026; }
+      color:#182026;
+      text-decoration:none; }
     .bp3-button-group.bp3-minimal .bp3-button:active, .bp3-button-group.bp3-minimal .bp3-button.bp3-active{
+      background:rgba(115, 134, 148, 0.3);
       -webkit-box-shadow:none;
               box-shadow:none;
-      background:rgba(115, 134, 148, 0.3);
       color:#182026; }
     .bp3-button-group.bp3-minimal .bp3-button:disabled, .bp3-button-group.bp3-minimal .bp3-button:disabled:hover, .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled, .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled:hover{
       background:none;
-      cursor:not-allowed;
-      color:rgba(92, 112, 128, 0.6); }
+      color:rgba(92, 112, 128, 0.6);
+      cursor:not-allowed; }
       .bp3-button-group.bp3-minimal .bp3-button:disabled.bp3-active, .bp3-button-group.bp3-minimal .bp3-button:disabled:hover.bp3-active, .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled.bp3-active, .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled:hover.bp3-active{
         background:rgba(115, 134, 148, 0.3); }
     .bp3-dark .bp3-button-group.bp3-minimal .bp3-button{
+      background:none;
       -webkit-box-shadow:none;
               box-shadow:none;
-      background:none;
       color:inherit; }
       .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:hover, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-active{
+        background:none;
         -webkit-box-shadow:none;
-                box-shadow:none;
-        background:none; }
+                box-shadow:none; }
       .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:hover{
         background:rgba(138, 155, 168, 0.15); }
       .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-active{
@@ -1877,16 +2121,16 @@ a.bp3-button{
         color:#f5f8fa; }
       .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:disabled, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:disabled:hover, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled:hover{
         background:none;
-        cursor:not-allowed;
-        color:rgba(167, 182, 194, 0.6); }
+        color:rgba(167, 182, 194, 0.6);
+        cursor:not-allowed; }
         .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:disabled.bp3-active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:disabled:hover.bp3-active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled.bp3-active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled:hover.bp3-active{
           background:rgba(138, 155, 168, 0.3); }
     .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary{
       color:#106ba3; }
       .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary:hover, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary:active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary.bp3-active{
+        background:none;
         -webkit-box-shadow:none;
                 box-shadow:none;
-        background:none;
         color:#106ba3; }
       .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary:hover{
         background:rgba(19, 124, 189, 0.15);
@@ -1917,9 +2161,9 @@ a.bp3-button{
     .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success{
       color:#0d8050; }
       .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success:hover, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success:active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success.bp3-active{
+        background:none;
         -webkit-box-shadow:none;
                 box-shadow:none;
-        background:none;
         color:#0d8050; }
       .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success:hover{
         background:rgba(15, 153, 96, 0.15);
@@ -1950,9 +2194,9 @@ a.bp3-button{
     .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning{
       color:#bf7326; }
       .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning:hover, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning:active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning.bp3-active{
+        background:none;
         -webkit-box-shadow:none;
                 box-shadow:none;
-        background:none;
         color:#bf7326; }
       .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning:hover{
         background:rgba(217, 130, 43, 0.15);
@@ -1983,9 +2227,9 @@ a.bp3-button{
     .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger{
       color:#c23030; }
       .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger:hover, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger:active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger.bp3-active{
+        background:none;
         -webkit-box-shadow:none;
                 box-shadow:none;
-        background:none;
         color:#c23030; }
       .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger:hover{
         background:rgba(219, 55, 55, 0.15);
@@ -2032,17 +2276,17 @@ a.bp3-button{
         -ms-flex:1 1 auto;
             flex:1 1 auto; }
   .bp3-button-group.bp3-vertical{
+    -webkit-box-align:stretch;
+        -ms-flex-align:stretch;
+            align-items:stretch;
     -webkit-box-orient:vertical;
     -webkit-box-direction:normal;
         -ms-flex-direction:column;
             flex-direction:column;
-    -webkit-box-align:stretch;
-        -ms-flex-align:stretch;
-            align-items:stretch;
     vertical-align:top; }
     .bp3-button-group.bp3-vertical.bp3-fill{
-      width:unset;
-      height:100%; }
+      height:100%;
+      width:unset; }
     .bp3-button-group.bp3-vertical .bp3-button{
       margin-right:0 !important;
       width:100%; }
@@ -2064,38 +2308,38 @@ a.bp3-button{
   .bp3-dark .bp3-button-group.bp3-vertical > .bp3-button:not(:last-child){
     margin-bottom:1px; }
 .bp3-callout{
-  line-height:1.5;
   font-size:14px;
-  position:relative;
-  border-radius:3px;
+  line-height:1.5;
   background-color:rgba(138, 155, 168, 0.15);
-  width:100%;
-  padding:10px 12px 9px; }
+  border-radius:3px;
+  padding:10px 12px 9px;
+  position:relative;
+  width:100%; }
   .bp3-callout[class*="bp3-icon-"]{
     padding-left:40px; }
     .bp3-callout[class*="bp3-icon-"]::before{
-      line-height:1;
       font-family:"Icons20", sans-serif;
       font-size:20px;
-      font-weight:400;
       font-style:normal;
+      font-weight:400;
+      line-height:1;
       -moz-osx-font-smoothing:grayscale;
       -webkit-font-smoothing:antialiased;
-      position:absolute;
-      top:10px;
+      color:#5c7080;
       left:10px;
-      color:#5c7080; }
+      position:absolute;
+      top:10px; }
   .bp3-callout.bp3-callout-icon{
     padding-left:40px; }
     .bp3-callout.bp3-callout-icon > .bp3-icon:first-child{
-      position:absolute;
-      top:10px;
+      color:#5c7080;
       left:10px;
-      color:#5c7080; }
+      position:absolute;
+      top:10px; }
   .bp3-callout .bp3-heading{
-    margin-top:0;
+    line-height:20px;
     margin-bottom:5px;
-    line-height:20px; }
+    margin-top:0; }
     .bp3-callout .bp3-heading:last-child{
       margin-bottom:0; }
   .bp3-dark .bp3-callout{
@@ -2153,10 +2397,10 @@ a.bp3-button{
   .bp3-running-text .bp3-callout{
     margin:20px 0; }
 .bp3-card{
+  background-color:#ffffff;
   border-radius:3px;
   -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.15), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0);
           box-shadow:0 0 0 1px rgba(16, 22, 26, 0.15), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0);
-  background-color:#ffffff;
   padding:20px;
   -webkit-transition:-webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-box-shadow 200ms cubic-bezier(0.4, 1, 0.75, 0.9);
   transition:-webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-box-shadow 200ms cubic-bezier(0.4, 1, 0.75, 0.9);
@@ -2164,9 +2408,9 @@ a.bp3-button{
   transition:transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9), box-shadow 200ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-box-shadow 200ms cubic-bezier(0.4, 1, 0.75, 0.9); }
   .bp3-card.bp3-dark,
   .bp3-dark .bp3-card{
+    background-color:#30404d;
     -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0);
-    background-color:#30404d; }
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0); }
 
 .bp3-elevation-0{
   -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.15), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0);
@@ -2218,9 +2462,9 @@ a.bp3-button{
             box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4); }
 
 .bp3-card.bp3-interactive:active{
-  opacity:0.9;
   -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.2);
           box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.2);
+  opacity:0.9;
   -webkit-transition-duration:0;
           transition-duration:0; }
   .bp3-card.bp3-interactive:active.bp3-dark,
@@ -2248,31 +2492,31 @@ a.bp3-button{
   position:fixed; }
 
 .bp3-divider{
-  margin:5px;
+  border-bottom:1px solid rgba(16, 22, 26, 0.15);
   border-right:1px solid rgba(16, 22, 26, 0.15);
-  border-bottom:1px solid rgba(16, 22, 26, 0.15); }
+  margin:5px; }
   .bp3-dark .bp3-divider{
     border-color:rgba(16, 22, 26, 0.4); }
 .bp3-dialog-container{
   opacity:1;
   -webkit-transform:scale(1);
           transform:scale(1);
-  display:-webkit-box;
-  display:-ms-flexbox;
-  display:flex;
   -webkit-box-align:center;
       -ms-flex-align:center;
           align-items:center;
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
   -webkit-box-pack:center;
       -ms-flex-pack:center;
           justify-content:center;
-  width:100%;
   min-height:100%;
   pointer-events:none;
   -webkit-user-select:none;
      -moz-user-select:none;
       -ms-user-select:none;
-          user-select:none; }
+          user-select:none;
+  width:100%; }
   .bp3-dialog-container.bp3-overlay-enter > .bp3-dialog, .bp3-dialog-container.bp3-overlay-appear > .bp3-dialog{
     opacity:0;
     -webkit-transform:scale(0.5);
@@ -2281,16 +2525,16 @@ a.bp3-button{
     opacity:1;
     -webkit-transform:scale(1);
             transform:scale(1);
+    -webkit-transition-delay:0;
+            transition-delay:0;
+    -webkit-transition-duration:300ms;
+            transition-duration:300ms;
     -webkit-transition-property:opacity, -webkit-transform;
     transition-property:opacity, -webkit-transform;
     transition-property:opacity, transform;
     transition-property:opacity, transform, -webkit-transform;
-    -webkit-transition-duration:300ms;
-            transition-duration:300ms;
     -webkit-transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);
-            transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);
-    -webkit-transition-delay:0;
-            transition-delay:0; }
+            transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11); }
   .bp3-dialog-container.bp3-overlay-exit > .bp3-dialog{
     opacity:1;
     -webkit-transform:scale(1);
@@ -2299,18 +2543,22 @@ a.bp3-button{
     opacity:0;
     -webkit-transform:scale(0.5);
             transform:scale(0.5);
+    -webkit-transition-delay:0;
+            transition-delay:0;
+    -webkit-transition-duration:300ms;
+            transition-duration:300ms;
     -webkit-transition-property:opacity, -webkit-transform;
     transition-property:opacity, -webkit-transform;
     transition-property:opacity, transform;
     transition-property:opacity, transform, -webkit-transform;
-    -webkit-transition-duration:300ms;
-            transition-duration:300ms;
     -webkit-transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);
-            transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);
-    -webkit-transition-delay:0;
-            transition-delay:0; }
+            transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11); }
 
 .bp3-dialog{
+  background:#ebf1f5;
+  border-radius:6px;
+  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2);
+          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2);
   display:-webkit-box;
   display:-ms-flexbox;
   display:flex;
@@ -2319,50 +2567,47 @@ a.bp3-button{
       -ms-flex-direction:column;
           flex-direction:column;
   margin:30px 0;
-  border-radius:6px;
-  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2);
-          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2);
-  background:#ebf1f5;
-  width:500px;
   padding-bottom:20px;
   pointer-events:all;
   -webkit-user-select:text;
      -moz-user-select:text;
       -ms-user-select:text;
-          user-select:text; }
+          user-select:text;
+  width:500px; }
   .bp3-dialog:focus{
     outline:0; }
   .bp3-dialog.bp3-dark,
   .bp3-dark .bp3-dialog{
+    background:#293742;
     -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 4px 8px rgba(16, 22, 26, 0.4), 0 18px 46px 6px rgba(16, 22, 26, 0.4);
             box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 4px 8px rgba(16, 22, 26, 0.4), 0 18px 46px 6px rgba(16, 22, 26, 0.4);
-    background:#293742;
     color:#f5f8fa; }
 
 .bp3-dialog-header{
-  display:-webkit-box;
-  display:-ms-flexbox;
-  display:flex;
-  -webkit-box-flex:0;
-      -ms-flex:0 0 auto;
-          flex:0 0 auto;
   -webkit-box-align:center;
       -ms-flex-align:center;
           align-items:center;
+  background:#ffffff;
   border-radius:6px 6px 0 0;
   -webkit-box-shadow:0 1px 0 rgba(16, 22, 26, 0.15);
           box-shadow:0 1px 0 rgba(16, 22, 26, 0.15);
-  background:#ffffff;
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -webkit-box-flex:0;
+      -ms-flex:0 0 auto;
+          flex:0 0 auto;
   min-height:40px;
+  padding-left:20px;
   padding-right:5px;
-  padding-left:20px; }
+  z-index:30; }
   .bp3-dialog-header .bp3-icon-large,
   .bp3-dialog-header .bp3-icon{
+    color:#5c7080;
     -webkit-box-flex:0;
         -ms-flex:0 0 auto;
             flex:0 0 auto;
-    margin-right:10px;
-    color:#5c7080; }
+    margin-right:10px; }
   .bp3-dialog-header .bp3-heading{
     overflow:hidden;
     text-overflow:ellipsis;
@@ -2371,14 +2616,14 @@ a.bp3-button{
     -webkit-box-flex:1;
         -ms-flex:1 1 auto;
             flex:1 1 auto;
-    margin:0;
-    line-height:inherit; }
+    line-height:inherit;
+    margin:0; }
     .bp3-dialog-header .bp3-heading:last-child{
       margin-right:20px; }
   .bp3-dark .bp3-dialog-header{
+    background:#30404d;
     -webkit-box-shadow:0 1px 0 rgba(16, 22, 26, 0.4);
-            box-shadow:0 1px 0 rgba(16, 22, 26, 0.4);
-    background:#30404d; }
+            box-shadow:0 1px 0 rgba(16, 22, 26, 0.4); }
     .bp3-dark .bp3-dialog-header .bp3-icon-large,
     .bp3-dark .bp3-dialog-header .bp3-icon{
       color:#a7b6c2; }
@@ -2387,8 +2632,8 @@ a.bp3-button{
   -webkit-box-flex:1;
       -ms-flex:1 1 auto;
           flex:1 1 auto;
-  margin:20px;
-  line-height:18px; }
+  line-height:18px;
+  margin:20px; }
 
 .bp3-dialog-footer{
   -webkit-box-flex:0;
@@ -2405,7 +2650,121 @@ a.bp3-button{
           justify-content:flex-end; }
   .bp3-dialog-footer-actions .bp3-button{
     margin-left:10px; }
+.bp3-multistep-dialog-panels{
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex; }
+
+.bp3-multistep-dialog-left-panel{
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -webkit-box-flex:1;
+      -ms-flex:1;
+          flex:1;
+  -webkit-box-orient:vertical;
+  -webkit-box-direction:normal;
+      -ms-flex-direction:column;
+          flex-direction:column; }
+  .bp3-dark .bp3-multistep-dialog-left-panel{
+    background:#202b33; }
+
+.bp3-multistep-dialog-right-panel{
+  background-color:#f5f8fa;
+  border-left:1px solid rgba(16, 22, 26, 0.15);
+  border-radius:0 0 6px 0;
+  -webkit-box-flex:3;
+      -ms-flex:3;
+          flex:3;
+  min-width:0; }
+  .bp3-dark .bp3-multistep-dialog-right-panel{
+    background-color:#293742;
+    border-left:1px solid rgba(16, 22, 26, 0.4); }
+
+.bp3-multistep-dialog-footer{
+  background-color:#ffffff;
+  border-radius:0 0 6px 0;
+  border-top:1px solid rgba(16, 22, 26, 0.15);
+  padding:10px; }
+  .bp3-dark .bp3-multistep-dialog-footer{
+    background:#30404d;
+    border-top:1px solid rgba(16, 22, 26, 0.4); }
+
+.bp3-dialog-step-container{
+  background-color:#f5f8fa;
+  border-bottom:1px solid rgba(16, 22, 26, 0.15); }
+  .bp3-dark .bp3-dialog-step-container{
+    background:#293742;
+    border-bottom:1px solid rgba(16, 22, 26, 0.4); }
+  .bp3-dialog-step-container.bp3-dialog-step-viewed{
+    background-color:#ffffff; }
+    .bp3-dark .bp3-dialog-step-container.bp3-dialog-step-viewed{
+      background:#30404d; }
+
+.bp3-dialog-step{
+  -webkit-box-align:center;
+      -ms-flex-align:center;
+          align-items:center;
+  background-color:#f5f8fa;
+  border-radius:6px;
+  cursor:not-allowed;
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  margin:4px;
+  padding:6px 14px; }
+  .bp3-dark .bp3-dialog-step{
+    background:#293742; }
+  .bp3-dialog-step-viewed .bp3-dialog-step{
+    background-color:#ffffff;
+    cursor:pointer; }
+    .bp3-dark .bp3-dialog-step-viewed .bp3-dialog-step{
+      background:#30404d; }
+  .bp3-dialog-step:hover{
+    background-color:#f5f8fa; }
+    .bp3-dark .bp3-dialog-step:hover{
+      background:#293742; }
+
+.bp3-dialog-step-icon{
+  -webkit-box-align:center;
+      -ms-flex-align:center;
+          align-items:center;
+  background-color:rgba(92, 112, 128, 0.6);
+  border-radius:50%;
+  color:#ffffff;
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  height:25px;
+  -webkit-box-pack:center;
+      -ms-flex-pack:center;
+          justify-content:center;
+  width:25px; }
+  .bp3-dark .bp3-dialog-step-icon{
+    background-color:rgba(167, 182, 194, 0.6); }
+  .bp3-active.bp3-dialog-step-viewed .bp3-dialog-step-icon{
+    background-color:#2b95d6; }
+  .bp3-dialog-step-viewed .bp3-dialog-step-icon{
+    background-color:#8a9ba8; }
+
+.bp3-dialog-step-title{
+  color:rgba(92, 112, 128, 0.6);
+  -webkit-box-flex:1;
+      -ms-flex:1;
+          flex:1;
+  padding-left:10px; }
+  .bp3-dark .bp3-dialog-step-title{
+    color:rgba(167, 182, 194, 0.6); }
+  .bp3-active.bp3-dialog-step-viewed .bp3-dialog-step-title{
+    color:#2b95d6; }
+  .bp3-dialog-step-viewed:not(.bp3-active) .bp3-dialog-step-title{
+    color:#182026; }
+    .bp3-dark .bp3-dialog-step-viewed:not(.bp3-active) .bp3-dialog-step-title{
+      color:#f5f8fa; }
 .bp3-drawer{
+  background:#ffffff;
+  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2);
+          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2);
   display:-webkit-box;
   display:-ms-flexbox;
   display:flex;
@@ -2414,90 +2773,87 @@ a.bp3-button{
       -ms-flex-direction:column;
           flex-direction:column;
   margin:0;
-  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2);
-          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2);
-  background:#ffffff;
   padding:0; }
   .bp3-drawer:focus{
     outline:0; }
   .bp3-drawer.bp3-position-top{
-    top:0;
-    right:0;
+    height:50%;
     left:0;
-    height:50%; }
+    right:0;
+    top:0; }
     .bp3-drawer.bp3-position-top.bp3-overlay-enter, .bp3-drawer.bp3-position-top.bp3-overlay-appear{
       -webkit-transform:translateY(-100%);
               transform:translateY(-100%); }
     .bp3-drawer.bp3-position-top.bp3-overlay-enter-active, .bp3-drawer.bp3-position-top.bp3-overlay-appear-active{
       -webkit-transform:translateY(0);
               transform:translateY(0);
+      -webkit-transition-delay:0;
+              transition-delay:0;
+      -webkit-transition-duration:200ms;
+              transition-duration:200ms;
       -webkit-transition-property:-webkit-transform;
       transition-property:-webkit-transform;
       transition-property:transform;
       transition-property:transform, -webkit-transform;
-      -webkit-transition-duration:200ms;
-              transition-duration:200ms;
       -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-      -webkit-transition-delay:0;
-              transition-delay:0; }
+              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
     .bp3-drawer.bp3-position-top.bp3-overlay-exit{
       -webkit-transform:translateY(0);
               transform:translateY(0); }
     .bp3-drawer.bp3-position-top.bp3-overlay-exit-active{
       -webkit-transform:translateY(-100%);
               transform:translateY(-100%);
+      -webkit-transition-delay:0;
+              transition-delay:0;
+      -webkit-transition-duration:100ms;
+              transition-duration:100ms;
       -webkit-transition-property:-webkit-transform;
       transition-property:-webkit-transform;
       transition-property:transform;
       transition-property:transform, -webkit-transform;
-      -webkit-transition-duration:100ms;
-              transition-duration:100ms;
       -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-      -webkit-transition-delay:0;
-              transition-delay:0; }
+              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
   .bp3-drawer.bp3-position-bottom{
-    right:0;
     bottom:0;
+    height:50%;
     left:0;
-    height:50%; }
+    right:0; }
     .bp3-drawer.bp3-position-bottom.bp3-overlay-enter, .bp3-drawer.bp3-position-bottom.bp3-overlay-appear{
       -webkit-transform:translateY(100%);
               transform:translateY(100%); }
     .bp3-drawer.bp3-position-bottom.bp3-overlay-enter-active, .bp3-drawer.bp3-position-bottom.bp3-overlay-appear-active{
       -webkit-transform:translateY(0);
               transform:translateY(0);
+      -webkit-transition-delay:0;
+              transition-delay:0;
+      -webkit-transition-duration:200ms;
+              transition-duration:200ms;
       -webkit-transition-property:-webkit-transform;
       transition-property:-webkit-transform;
       transition-property:transform;
       transition-property:transform, -webkit-transform;
-      -webkit-transition-duration:200ms;
-              transition-duration:200ms;
       -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-      -webkit-transition-delay:0;
-              transition-delay:0; }
+              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
     .bp3-drawer.bp3-position-bottom.bp3-overlay-exit{
       -webkit-transform:translateY(0);
               transform:translateY(0); }
     .bp3-drawer.bp3-position-bottom.bp3-overlay-exit-active{
       -webkit-transform:translateY(100%);
               transform:translateY(100%);
+      -webkit-transition-delay:0;
+              transition-delay:0;
+      -webkit-transition-duration:100ms;
+              transition-duration:100ms;
       -webkit-transition-property:-webkit-transform;
       transition-property:-webkit-transform;
       transition-property:transform;
       transition-property:transform, -webkit-transform;
-      -webkit-transition-duration:100ms;
-              transition-duration:100ms;
       -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-      -webkit-transition-delay:0;
-              transition-delay:0; }
+              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
   .bp3-drawer.bp3-position-left{
-    top:0;
     bottom:0;
     left:0;
+    top:0;
     width:50%; }
     .bp3-drawer.bp3-position-left.bp3-overlay-enter, .bp3-drawer.bp3-position-left.bp3-overlay-appear{
       -webkit-transform:translateX(-100%);
@@ -2505,36 +2861,36 @@ a.bp3-button{
     .bp3-drawer.bp3-position-left.bp3-overlay-enter-active, .bp3-drawer.bp3-position-left.bp3-overlay-appear-active{
       -webkit-transform:translateX(0);
               transform:translateX(0);
+      -webkit-transition-delay:0;
+              transition-delay:0;
+      -webkit-transition-duration:200ms;
+              transition-duration:200ms;
       -webkit-transition-property:-webkit-transform;
       transition-property:-webkit-transform;
       transition-property:transform;
       transition-property:transform, -webkit-transform;
-      -webkit-transition-duration:200ms;
-              transition-duration:200ms;
       -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-      -webkit-transition-delay:0;
-              transition-delay:0; }
+              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
     .bp3-drawer.bp3-position-left.bp3-overlay-exit{
       -webkit-transform:translateX(0);
               transform:translateX(0); }
     .bp3-drawer.bp3-position-left.bp3-overlay-exit-active{
       -webkit-transform:translateX(-100%);
               transform:translateX(-100%);
+      -webkit-transition-delay:0;
+              transition-delay:0;
+      -webkit-transition-duration:100ms;
+              transition-duration:100ms;
       -webkit-transition-property:-webkit-transform;
       transition-property:-webkit-transform;
       transition-property:transform;
       transition-property:transform, -webkit-transform;
-      -webkit-transition-duration:100ms;
-              transition-duration:100ms;
       -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-      -webkit-transition-delay:0;
-              transition-delay:0; }
+              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
   .bp3-drawer.bp3-position-right{
-    top:0;
-    right:0;
     bottom:0;
+    right:0;
+    top:0;
     width:50%; }
     .bp3-drawer.bp3-position-right.bp3-overlay-enter, .bp3-drawer.bp3-position-right.bp3-overlay-appear{
       -webkit-transform:translateX(100%);
@@ -2542,37 +2898,37 @@ a.bp3-button{
     .bp3-drawer.bp3-position-right.bp3-overlay-enter-active, .bp3-drawer.bp3-position-right.bp3-overlay-appear-active{
       -webkit-transform:translateX(0);
               transform:translateX(0);
+      -webkit-transition-delay:0;
+              transition-delay:0;
+      -webkit-transition-duration:200ms;
+              transition-duration:200ms;
       -webkit-transition-property:-webkit-transform;
       transition-property:-webkit-transform;
       transition-property:transform;
       transition-property:transform, -webkit-transform;
-      -webkit-transition-duration:200ms;
-              transition-duration:200ms;
       -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-      -webkit-transition-delay:0;
-              transition-delay:0; }
+              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
     .bp3-drawer.bp3-position-right.bp3-overlay-exit{
       -webkit-transform:translateX(0);
               transform:translateX(0); }
     .bp3-drawer.bp3-position-right.bp3-overlay-exit-active{
       -webkit-transform:translateX(100%);
               transform:translateX(100%);
+      -webkit-transition-delay:0;
+              transition-delay:0;
+      -webkit-transition-duration:100ms;
+              transition-duration:100ms;
       -webkit-transition-property:-webkit-transform;
       transition-property:-webkit-transform;
       transition-property:transform;
       transition-property:transform, -webkit-transform;
-      -webkit-transition-duration:100ms;
-              transition-duration:100ms;
       -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-      -webkit-transition-delay:0;
-              transition-delay:0; }
+              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
   .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(
   .bp3-position-right):not(.bp3-vertical){
-    top:0;
-    right:0;
     bottom:0;
+    right:0;
+    top:0;
     width:50%; }
     .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(
     .bp3-position-right):not(.bp3-vertical).bp3-overlay-enter, .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(
@@ -2584,16 +2940,16 @@ a.bp3-button{
     .bp3-position-right):not(.bp3-vertical).bp3-overlay-appear-active{
       -webkit-transform:translateX(0);
               transform:translateX(0);
+      -webkit-transition-delay:0;
+              transition-delay:0;
+      -webkit-transition-duration:200ms;
+              transition-duration:200ms;
       -webkit-transition-property:-webkit-transform;
       transition-property:-webkit-transform;
       transition-property:transform;
       transition-property:transform, -webkit-transform;
-      -webkit-transition-duration:200ms;
-              transition-duration:200ms;
       -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-      -webkit-transition-delay:0;
-              transition-delay:0; }
+              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
     .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(
     .bp3-position-right):not(.bp3-vertical).bp3-overlay-exit{
       -webkit-transform:translateX(0);
@@ -2602,22 +2958,22 @@ a.bp3-button{
     .bp3-position-right):not(.bp3-vertical).bp3-overlay-exit-active{
       -webkit-transform:translateX(100%);
               transform:translateX(100%);
+      -webkit-transition-delay:0;
+              transition-delay:0;
+      -webkit-transition-duration:100ms;
+              transition-duration:100ms;
       -webkit-transition-property:-webkit-transform;
       transition-property:-webkit-transform;
       transition-property:transform;
       transition-property:transform, -webkit-transform;
-      -webkit-transition-duration:100ms;
-              transition-duration:100ms;
       -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-      -webkit-transition-delay:0;
-              transition-delay:0; }
+              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
   .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(
   .bp3-position-right).bp3-vertical{
-    right:0;
     bottom:0;
+    height:50%;
     left:0;
-    height:50%; }
+    right:0; }
     .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(
     .bp3-position-right).bp3-vertical.bp3-overlay-enter, .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(
     .bp3-position-right).bp3-vertical.bp3-overlay-appear{
@@ -2628,16 +2984,16 @@ a.bp3-button{
     .bp3-position-right).bp3-vertical.bp3-overlay-appear-active{
       -webkit-transform:translateY(0);
               transform:translateY(0);
+      -webkit-transition-delay:0;
+              transition-delay:0;
+      -webkit-transition-duration:200ms;
+              transition-duration:200ms;
       -webkit-transition-property:-webkit-transform;
       transition-property:-webkit-transform;
       transition-property:transform;
       transition-property:transform, -webkit-transform;
-      -webkit-transition-duration:200ms;
-              transition-duration:200ms;
       -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-      -webkit-transition-delay:0;
-              transition-delay:0; }
+              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
     .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(
     .bp3-position-right).bp3-vertical.bp3-overlay-exit{
       -webkit-transform:translateY(0);
@@ -2646,47 +3002,47 @@ a.bp3-button{
     .bp3-position-right).bp3-vertical.bp3-overlay-exit-active{
       -webkit-transform:translateY(100%);
               transform:translateY(100%);
+      -webkit-transition-delay:0;
+              transition-delay:0;
+      -webkit-transition-duration:100ms;
+              transition-duration:100ms;
       -webkit-transition-property:-webkit-transform;
       transition-property:-webkit-transform;
       transition-property:transform;
       transition-property:transform, -webkit-transform;
-      -webkit-transition-duration:100ms;
-              transition-duration:100ms;
       -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-      -webkit-transition-delay:0;
-              transition-delay:0; }
+              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
   .bp3-drawer.bp3-dark,
   .bp3-dark .bp3-drawer{
+    background:#30404d;
     -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 4px 8px rgba(16, 22, 26, 0.4), 0 18px 46px 6px rgba(16, 22, 26, 0.4);
             box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 4px 8px rgba(16, 22, 26, 0.4), 0 18px 46px 6px rgba(16, 22, 26, 0.4);
-    background:#30404d;
     color:#f5f8fa; }
 
 .bp3-drawer-header{
-  display:-webkit-box;
-  display:-ms-flexbox;
-  display:flex;
-  -webkit-box-flex:0;
-      -ms-flex:0 0 auto;
-          flex:0 0 auto;
   -webkit-box-align:center;
       -ms-flex-align:center;
           align-items:center;
-  position:relative;
   border-radius:0;
   -webkit-box-shadow:0 1px 0 rgba(16, 22, 26, 0.15);
           box-shadow:0 1px 0 rgba(16, 22, 26, 0.15);
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -webkit-box-flex:0;
+      -ms-flex:0 0 auto;
+          flex:0 0 auto;
   min-height:40px;
   padding:5px;
-  padding-left:20px; }
+  padding-left:20px;
+  position:relative; }
   .bp3-drawer-header .bp3-icon-large,
   .bp3-drawer-header .bp3-icon{
+    color:#5c7080;
     -webkit-box-flex:0;
         -ms-flex:0 0 auto;
             flex:0 0 auto;
-    margin-right:10px;
-    color:#5c7080; }
+    margin-right:10px; }
   .bp3-drawer-header .bp3-heading{
     overflow:hidden;
     text-overflow:ellipsis;
@@ -2695,8 +3051,8 @@ a.bp3-button{
     -webkit-box-flex:1;
         -ms-flex:1 1 auto;
             flex:1 1 auto;
-    margin:0;
-    line-height:inherit; }
+    line-height:inherit;
+    margin:0; }
     .bp3-drawer-header .bp3-heading:last-child{
       margin-right:20px; }
   .bp3-dark .bp3-drawer-header{
@@ -2710,33 +3066,33 @@ a.bp3-button{
   -webkit-box-flex:1;
       -ms-flex:1 1 auto;
           flex:1 1 auto;
-  overflow:auto;
-  line-height:18px; }
+  line-height:18px;
+  overflow:auto; }
 
 .bp3-drawer-footer{
+  -webkit-box-shadow:inset 0 1px 0 rgba(16, 22, 26, 0.15);
+          box-shadow:inset 0 1px 0 rgba(16, 22, 26, 0.15);
   -webkit-box-flex:0;
       -ms-flex:0 0 auto;
           flex:0 0 auto;
-  position:relative;
-  -webkit-box-shadow:inset 0 1px 0 rgba(16, 22, 26, 0.15);
-          box-shadow:inset 0 1px 0 rgba(16, 22, 26, 0.15);
-  padding:10px 20px; }
+  padding:10px 20px;
+  position:relative; }
   .bp3-dark .bp3-drawer-footer{
     -webkit-box-shadow:inset 0 1px 0 rgba(16, 22, 26, 0.4);
             box-shadow:inset 0 1px 0 rgba(16, 22, 26, 0.4); }
 .bp3-editable-text{
-  display:inline-block;
-  position:relative;
   cursor:text;
+  display:inline-block;
   max-width:100%;
+  position:relative;
   vertical-align:top;
   white-space:nowrap; }
   .bp3-editable-text::before{
-    position:absolute;
-    top:-3px;
-    right:-3px;
     bottom:-3px;
     left:-3px;
+    position:absolute;
+    right:-3px;
+    top:-3px;
     border-radius:3px;
     content:"";
     -webkit-transition:background-color 100ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
@@ -2747,9 +3103,9 @@ a.bp3-button{
     -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.15);
             box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.15); }
   .bp3-editable-text.bp3-editable-text-editing::before{
+    background-color:#ffffff;
     -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-            box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-    background-color:#ffffff; }
+            box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
   .bp3-editable-text.bp3-disabled::before{
     -webkit-box-shadow:none;
             box-shadow:none; }
@@ -2793,9 +3149,9 @@ a.bp3-button{
     -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(255, 255, 255, 0.15);
             box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(255, 255, 255, 0.15); }
   .bp3-dark .bp3-editable-text.bp3-editable-text-editing::before{
+    background-color:rgba(16, 22, 26, 0.3);
     -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
-            box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
-    background-color:rgba(16, 22, 26, 0.3); }
+            box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
   .bp3-dark .bp3-editable-text.bp3-disabled::before{
     -webkit-box-shadow:none;
             box-shadow:none; }
@@ -2834,40 +3190,40 @@ a.bp3-button{
 
 .bp3-editable-text-input,
 .bp3-editable-text-content{
+  color:inherit;
   display:inherit;
-  position:relative;
-  min-width:inherit;
+  font:inherit;
+  letter-spacing:inherit;
   max-width:inherit;
-  vertical-align:top;
+  min-width:inherit;
+  position:relative;
+  resize:none;
   text-transform:inherit;
-  letter-spacing:inherit;
-  color:inherit;
-  font:inherit;
-  resize:none; }
+  vertical-align:top; }
 
 .bp3-editable-text-input{
+  background:none;
   border:none;
   -webkit-box-shadow:none;
           box-shadow:none;
-  background:none;
-  width:100%;
   padding:0;
-  white-space:pre-wrap; }
+  white-space:pre-wrap;
+  width:100%; }
   .bp3-editable-text-input::-webkit-input-placeholder{
-    opacity:1;
-    color:rgba(92, 112, 128, 0.6); }
+    color:rgba(92, 112, 128, 0.6);
+    opacity:1; }
   .bp3-editable-text-input::-moz-placeholder{
-    opacity:1;
-    color:rgba(92, 112, 128, 0.6); }
+    color:rgba(92, 112, 128, 0.6);
+    opacity:1; }
   .bp3-editable-text-input:-ms-input-placeholder{
-    opacity:1;
-    color:rgba(92, 112, 128, 0.6); }
+    color:rgba(92, 112, 128, 0.6);
+    opacity:1; }
   .bp3-editable-text-input::-ms-input-placeholder{
-    opacity:1;
-    color:rgba(92, 112, 128, 0.6); }
+    color:rgba(92, 112, 128, 0.6);
+    opacity:1; }
   .bp3-editable-text-input::placeholder{
-    opacity:1;
-    color:rgba(92, 112, 128, 0.6); }
+    color:rgba(92, 112, 128, 0.6);
+    opacity:1; }
   .bp3-editable-text-input:focus{
     outline:none; }
   .bp3-editable-text-input::-ms-clear{
@@ -2879,8 +3235,8 @@ a.bp3-button{
   text-overflow:ellipsis;
   white-space:pre; }
   .bp3-editable-text-editing > .bp3-editable-text-content{
-    position:absolute;
     left:0;
+    position:absolute;
     visibility:hidden; }
   .bp3-editable-text-placeholder > .bp3-editable-text-content{
     color:rgba(92, 112, 128, 0.6); }
@@ -2893,6 +3249,12 @@ a.bp3-button{
     overflow:auto;
     white-space:pre-wrap;
     word-wrap:break-word; }
+.bp3-divider{
+  border-bottom:1px solid rgba(16, 22, 26, 0.15);
+  border-right:1px solid rgba(16, 22, 26, 0.15);
+  margin:5px; }
+  .bp3-dark .bp3-divider{
+    border-color:rgba(16, 22, 26, 0.4); }
 .bp3-control-group{
   -webkit-transform:translateZ(0);
           transform:translateZ(0);
@@ -2924,11 +3286,11 @@ a.bp3-button{
   .bp3-control-group .bp3-select{
     position:relative; }
   .bp3-control-group .bp3-input{
-    z-index:2;
-    border-radius:inherit; }
+    border-radius:inherit;
+    z-index:2; }
     .bp3-control-group .bp3-input:focus{
-      z-index:14;
-      border-radius:3px; }
+      border-radius:3px;
+      z-index:14; }
     .bp3-control-group .bp3-input[class*="bp3-intent"]{
       z-index:13; }
       .bp3-control-group .bp3-input[class*="bp3-intent"]:focus{
@@ -2944,8 +3306,8 @@ a.bp3-button{
   .bp3-control-group .bp3-select select{
     -webkit-transform:translateZ(0);
             transform:translateZ(0);
-    z-index:4;
-    border-radius:inherit; }
+    border-radius:inherit;
+    z-index:4; }
     .bp3-control-group .bp3-button:focus,
     .bp3-control-group .bp3-html-select select:focus,
     .bp3-control-group .bp3-select select:focus{
@@ -2992,6 +3354,7 @@ a.bp3-button{
         z-index:8; }
   .bp3-control-group .bp3-input-group > .bp3-icon,
   .bp3-control-group .bp3-input-group > .bp3-button,
+  .bp3-control-group .bp3-input-group > .bp3-input-left-container,
   .bp3-control-group .bp3-input-group > .bp3-input-action{
     z-index:16; }
   .bp3-control-group .bp3-select::after,
@@ -2999,9 +3362,13 @@ a.bp3-button{
   .bp3-control-group .bp3-select > .bp3-icon,
   .bp3-control-group .bp3-html-select > .bp3-icon{
     z-index:17; }
-  .bp3-control-group:not(.bp3-vertical) > *{
+  .bp3-control-group .bp3-select:focus-within{
+    z-index:5; }
+  .bp3-control-group:not(.bp3-vertical) > *:not(.bp3-divider){
     margin-right:-1px; }
-  .bp3-dark .bp3-control-group:not(.bp3-vertical) > *{
+  .bp3-control-group:not(.bp3-vertical) > .bp3-divider:not(:first-child){
+    margin-left:6px; }
+  .bp3-dark .bp3-control-group:not(.bp3-vertical) > *:not(.bp3-divider){
     margin-right:0; }
   .bp3-dark .bp3-control-group:not(.bp3-vertical) > .bp3-button + .bp3-button{
     margin-left:1px; }
@@ -3011,13 +3378,18 @@ a.bp3-button{
   .bp3-control-group > :first-child{
     border-radius:3px 0 0 3px; }
   .bp3-control-group > :last-child{
-    margin-right:0;
-    border-radius:0 3px 3px 0; }
+    border-radius:0 3px 3px 0;
+    margin-right:0; }
   .bp3-control-group > :only-child{
-    margin-right:0;
-    border-radius:3px; }
+    border-radius:3px;
+    margin-right:0; }
   .bp3-control-group .bp3-input-group .bp3-button{
     border-radius:3px; }
+  .bp3-control-group .bp3-numeric-input:not(:first-child) .bp3-input-group{
+    border-bottom-left-radius:0;
+    border-top-left-radius:0; }
+  .bp3-control-group.bp3-fill{
+    width:100%; }
   .bp3-control-group > .bp3-fill{
     -webkit-box-flex:1;
         -ms-flex:1 1 auto;
@@ -3034,50 +3406,50 @@ a.bp3-button{
     .bp3-control-group.bp3-vertical > *{
       margin-top:-1px; }
     .bp3-control-group.bp3-vertical > :first-child{
-      margin-top:0;
-      border-radius:3px 3px 0 0; }
+      border-radius:3px 3px 0 0;
+      margin-top:0; }
     .bp3-control-group.bp3-vertical > :last-child{
       border-radius:0 0 3px 3px; }
 .bp3-control{
+  cursor:pointer;
   display:block;
-  position:relative;
   margin-bottom:10px;
-  cursor:pointer;
+  position:relative;
   text-transform:none; }
   .bp3-control input:checked ~ .bp3-control-indicator{
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
     background-color:#137cbd;
     background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.1)), to(rgba(255, 255, 255, 0)));
     background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.1), rgba(255, 255, 255, 0));
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
     color:#ffffff; }
   .bp3-control:hover input:checked ~ .bp3-control-indicator{
+    background-color:#106ba3;
     -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-    background-color:#106ba3; }
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2); }
   .bp3-control input:not(:disabled):active:checked ~ .bp3-control-indicator{
+    background:#0e5a8a;
     -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-    background:#0e5a8a; }
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
   .bp3-control input:disabled:checked ~ .bp3-control-indicator{
+    background:rgba(19, 124, 189, 0.5);
     -webkit-box-shadow:none;
-            box-shadow:none;
-    background:rgba(19, 124, 189, 0.5); }
+            box-shadow:none; }
   .bp3-dark .bp3-control input:checked ~ .bp3-control-indicator{
     -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
             box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
   .bp3-dark .bp3-control:hover input:checked ~ .bp3-control-indicator{
+    background-color:#106ba3;
     -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-    background-color:#106ba3; }
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
   .bp3-dark .bp3-control input:not(:disabled):active:checked ~ .bp3-control-indicator{
+    background-color:#0e5a8a;
     -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-    background-color:#0e5a8a; }
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
   .bp3-dark .bp3-control input:disabled:checked ~ .bp3-control-indicator{
+    background:rgba(14, 90, 138, 0.5);
     -webkit-box-shadow:none;
-            box-shadow:none;
-    background:rgba(14, 90, 138, 0.5); }
+            box-shadow:none; }
   .bp3-control:not(.bp3-align-right){
     padding-left:26px; }
     .bp3-control:not(.bp3-align-right) .bp3-control-indicator{
@@ -3087,53 +3459,53 @@ a.bp3-button{
     .bp3-control.bp3-align-right .bp3-control-indicator{
       margin-right:-26px; }
   .bp3-control.bp3-disabled{
-    cursor:not-allowed;
-    color:rgba(92, 112, 128, 0.6); }
+    color:rgba(92, 112, 128, 0.6);
+    cursor:not-allowed; }
   .bp3-control.bp3-inline{
     display:inline-block;
     margin-right:20px; }
   .bp3-control input{
-    position:absolute;
-    top:0;
     left:0;
     opacity:0;
+    position:absolute;
+    top:0;
     z-index:-1; }
   .bp3-control .bp3-control-indicator{
-    display:inline-block;
-    position:relative;
-    margin-top:-3px;
-    margin-right:10px;
-    border:none;
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
     background-clip:padding-box;
     background-color:#f5f8fa;
     background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.8)), to(rgba(255, 255, 255, 0)));
     background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.8), rgba(255, 255, 255, 0));
+    border:none;
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
     cursor:pointer;
-    width:1em;
-    height:1em;
-    vertical-align:middle;
+    display:inline-block;
     font-size:16px;
+    height:1em;
+    margin-right:10px;
+    margin-top:-3px;
+    position:relative;
     -webkit-user-select:none;
        -moz-user-select:none;
         -ms-user-select:none;
-            user-select:none; }
+            user-select:none;
+    vertical-align:middle;
+    width:1em; }
     .bp3-control .bp3-control-indicator::before{
+      content:"";
       display:block;
-      width:1em;
       height:1em;
-      content:""; }
+      width:1em; }
   .bp3-control:hover .bp3-control-indicator{
     background-color:#ebf1f5; }
   .bp3-control input:not(:disabled):active ~ .bp3-control-indicator{
+    background:#d8e1e8;
     -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-    background:#d8e1e8; }
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
   .bp3-control input:disabled ~ .bp3-control-indicator{
+    background:rgba(206, 217, 224, 0.5);
     -webkit-box-shadow:none;
             box-shadow:none;
-    background:rgba(206, 217, 224, 0.5);
     cursor:not-allowed; }
   .bp3-control input:focus ~ .bp3-control-indicator{
     outline:rgba(19, 124, 189, 0.6) auto 2px;
@@ -3141,8 +3513,8 @@ a.bp3-button{
     -moz-outline-radius:6px; }
   .bp3-control.bp3-align-right .bp3-control-indicator{
     float:right;
-    margin-top:1px;
-    margin-left:10px; }
+    margin-left:10px;
+    margin-top:1px; }
   .bp3-control.bp3-large{
     font-size:16px; }
     .bp3-control.bp3-large:not(.bp3-align-right){
@@ -3158,43 +3530,43 @@ a.bp3-button{
     .bp3-control.bp3-large.bp3-align-right .bp3-control-indicator{
       margin-top:0; }
   .bp3-control.bp3-checkbox input:indeterminate ~ .bp3-control-indicator{
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
     background-color:#137cbd;
     background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.1)), to(rgba(255, 255, 255, 0)));
     background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.1), rgba(255, 255, 255, 0));
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
     color:#ffffff; }
   .bp3-control.bp3-checkbox:hover input:indeterminate ~ .bp3-control-indicator{
+    background-color:#106ba3;
     -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-    background-color:#106ba3; }
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2); }
   .bp3-control.bp3-checkbox input:not(:disabled):active:indeterminate ~ .bp3-control-indicator{
+    background:#0e5a8a;
     -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-    background:#0e5a8a; }
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
   .bp3-control.bp3-checkbox input:disabled:indeterminate ~ .bp3-control-indicator{
+    background:rgba(19, 124, 189, 0.5);
     -webkit-box-shadow:none;
-            box-shadow:none;
-    background:rgba(19, 124, 189, 0.5); }
+            box-shadow:none; }
   .bp3-dark .bp3-control.bp3-checkbox input:indeterminate ~ .bp3-control-indicator{
     -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
             box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
   .bp3-dark .bp3-control.bp3-checkbox:hover input:indeterminate ~ .bp3-control-indicator{
+    background-color:#106ba3;
     -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-    background-color:#106ba3; }
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
   .bp3-dark .bp3-control.bp3-checkbox input:not(:disabled):active:indeterminate ~ .bp3-control-indicator{
+    background-color:#0e5a8a;
     -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-    background-color:#0e5a8a; }
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
   .bp3-dark .bp3-control.bp3-checkbox input:disabled:indeterminate ~ .bp3-control-indicator{
+    background:rgba(14, 90, 138, 0.5);
     -webkit-box-shadow:none;
-            box-shadow:none;
-    background:rgba(14, 90, 138, 0.5); }
+            box-shadow:none; }
   .bp3-control.bp3-checkbox .bp3-control-indicator{
     border-radius:3px; }
   .bp3-control.bp3-checkbox input:checked ~ .bp3-control-indicator::before{
-    background-image:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cpath fill-rule='evenodd' clip-rule='evenodd' d='M12 5c-.28 0-.53.11-.71.29L7 9.59l-2.29-2.3a1.003 1.003 0 0 0-1.42 1.42l3 3c.18.18.43.29.71.29s.53-.11.71-.29l5-5A1.003 1.003 0 0 0 12 5z' fill='white'/%3e%3c/svg%3e"); }
+    background-image:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cpath fill-rule='evenodd' clip-rule='evenodd' d='M12 5c-.28 0-.53.11-.71.29L7 9.59l-2.29-2.3a1.003 1.003 0 00-1.42 1.42l3 3c.18.18.43.29.71.29s.53-.11.71-.29l5-5A1.003 1.003 0 0012 5z' fill='white'/%3e%3c/svg%3e"); }
   .bp3-control.bp3-checkbox input:indeterminate ~ .bp3-control-indicator::before{
     background-image:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 7H5c-.55 0-1 .45-1 1s.45 1 1 1h6c.55 0 1-.45 1-1s-.45-1-1-1z' fill='white'/%3e%3c/svg%3e"); }
   .bp3-control.bp3-radio .bp3-control-indicator{
@@ -3238,22 +3610,22 @@ a.bp3-button{
     border-radius:1.75em;
     -webkit-box-shadow:none !important;
             box-shadow:none !important;
-    width:auto;
     min-width:1.75em;
     -webkit-transition:background-color 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
-    transition:background-color 100ms cubic-bezier(0.4, 1, 0.75, 0.9); }
+    transition:background-color 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
+    width:auto; }
     .bp3-control.bp3-switch .bp3-control-indicator::before{
-      position:absolute;
-      left:0;
-      margin:2px;
+      background:#ffffff;
       border-radius:50%;
       -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 1px 1px rgba(16, 22, 26, 0.2);
               box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 1px 1px rgba(16, 22, 26, 0.2);
-      background:#ffffff;
-      width:calc(1em - 4px);
       height:calc(1em - 4px);
+      left:0;
+      margin:2px;
+      position:absolute;
       -webkit-transition:left 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
-      transition:left 100ms cubic-bezier(0.4, 1, 0.75, 0.9); }
+      transition:left 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
+      width:calc(1em - 4px); }
   .bp3-control.bp3-switch input:checked ~ .bp3-control-indicator::before{
     left:calc(100% - 1em); }
   .bp3-control.bp3-switch.bp3-large:not(.bp3-align-right){
@@ -3285,96 +3657,96 @@ a.bp3-button{
     .bp3-dark .bp3-control.bp3-switch input:checked:disabled ~ .bp3-control-indicator::before{
       background:rgba(16, 22, 26, 0.4); }
   .bp3-dark .bp3-control.bp3-switch .bp3-control-indicator::before{
+    background:#394b59;
     -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-    background:#394b59; }
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
   .bp3-dark .bp3-control.bp3-switch input:checked ~ .bp3-control-indicator::before{
     -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);
             box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4); }
   .bp3-control.bp3-switch .bp3-switch-inner-text{
-    text-align:center;
-    font-size:0.7em; }
+    font-size:0.7em;
+    text-align:center; }
   .bp3-control.bp3-switch .bp3-control-indicator-child:first-child{
-    visibility:hidden;
-    margin-right:1.2em;
+    line-height:0;
     margin-left:0.5em;
-    line-height:0; }
+    margin-right:1.2em;
+    visibility:hidden; }
   .bp3-control.bp3-switch .bp3-control-indicator-child:last-child{
-    visibility:visible;
-    margin-right:0.5em;
+    line-height:1em;
     margin-left:1.2em;
-    line-height:1em; }
+    margin-right:0.5em;
+    visibility:visible; }
   .bp3-control.bp3-switch input:checked ~ .bp3-control-indicator .bp3-control-indicator-child:first-child{
-    visibility:visible;
-    line-height:1em; }
+    line-height:1em;
+    visibility:visible; }
   .bp3-control.bp3-switch input:checked ~ .bp3-control-indicator .bp3-control-indicator-child:last-child{
-    visibility:hidden;
-    line-height:0; }
+    line-height:0;
+    visibility:hidden; }
   .bp3-dark .bp3-control{
     color:#f5f8fa; }
     .bp3-dark .bp3-control.bp3-disabled{
       color:rgba(167, 182, 194, 0.6); }
     .bp3-dark .bp3-control .bp3-control-indicator{
-      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
       background-color:#394b59;
       background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.05)), to(rgba(255, 255, 255, 0)));
-      background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.05), rgba(255, 255, 255, 0)); }
+      background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.05), rgba(255, 255, 255, 0));
+      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
     .bp3-dark .bp3-control:hover .bp3-control-indicator{
       background-color:#30404d; }
     .bp3-dark .bp3-control input:not(:disabled):active ~ .bp3-control-indicator{
+      background:#202b33;
       -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-      background:#202b33; }
+              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
     .bp3-dark .bp3-control input:disabled ~ .bp3-control-indicator{
+      background:rgba(57, 75, 89, 0.5);
       -webkit-box-shadow:none;
               box-shadow:none;
-      background:rgba(57, 75, 89, 0.5);
       cursor:not-allowed; }
     .bp3-dark .bp3-control.bp3-checkbox input:disabled:checked ~ .bp3-control-indicator, .bp3-dark .bp3-control.bp3-checkbox input:disabled:indeterminate ~ .bp3-control-indicator{
       color:rgba(167, 182, 194, 0.6); }
 .bp3-file-input{
-  display:inline-block;
-  position:relative;
   cursor:pointer;
-  height:30px; }
+  display:inline-block;
+  height:30px;
+  position:relative; }
   .bp3-file-input input{
-    opacity:0;
     margin:0;
-    min-width:200px; }
+    min-width:200px;
+    opacity:0; }
     .bp3-file-input input:disabled + .bp3-file-upload-input,
     .bp3-file-input input.bp3-disabled + .bp3-file-upload-input{
+      background:rgba(206, 217, 224, 0.5);
       -webkit-box-shadow:none;
               box-shadow:none;
-      background:rgba(206, 217, 224, 0.5);
-      cursor:not-allowed;
       color:rgba(92, 112, 128, 0.6);
+      cursor:not-allowed;
       resize:none; }
       .bp3-file-input input:disabled + .bp3-file-upload-input::after,
       .bp3-file-input input.bp3-disabled + .bp3-file-upload-input::after{
-        outline:none;
-        -webkit-box-shadow:none;
-                box-shadow:none;
         background-color:rgba(206, 217, 224, 0.5);
         background-image:none;
+        -webkit-box-shadow:none;
+                box-shadow:none;
+        color:rgba(92, 112, 128, 0.6);
         cursor:not-allowed;
-        color:rgba(92, 112, 128, 0.6); }
+        outline:none; }
         .bp3-file-input input:disabled + .bp3-file-upload-input::after.bp3-active, .bp3-file-input input:disabled + .bp3-file-upload-input::after.bp3-active:hover,
         .bp3-file-input input.bp3-disabled + .bp3-file-upload-input::after.bp3-active,
         .bp3-file-input input.bp3-disabled + .bp3-file-upload-input::after.bp3-active:hover{
           background:rgba(206, 217, 224, 0.7); }
       .bp3-dark .bp3-file-input input:disabled + .bp3-file-upload-input, .bp3-dark
       .bp3-file-input input.bp3-disabled + .bp3-file-upload-input{
+        background:rgba(57, 75, 89, 0.5);
         -webkit-box-shadow:none;
                 box-shadow:none;
-        background:rgba(57, 75, 89, 0.5);
         color:rgba(167, 182, 194, 0.6); }
         .bp3-dark .bp3-file-input input:disabled + .bp3-file-upload-input::after, .bp3-dark
         .bp3-file-input input.bp3-disabled + .bp3-file-upload-input::after{
-          -webkit-box-shadow:none;
-                  box-shadow:none;
           background-color:rgba(57, 75, 89, 0.5);
           background-image:none;
+          -webkit-box-shadow:none;
+                  box-shadow:none;
           color:rgba(167, 182, 194, 0.6); }
           .bp3-dark .bp3-file-input input:disabled + .bp3-file-upload-input::after.bp3-active, .bp3-dark
           .bp3-file-input input.bp3-disabled + .bp3-file-upload-input::after.bp3-active{
@@ -3392,55 +3764,55 @@ a.bp3-button{
     content:attr(bp3-button-text); }
 
 .bp3-file-upload-input{
-  outline:none;
+  -webkit-appearance:none;
+     -moz-appearance:none;
+          appearance:none;
+  background:#ffffff;
   border:none;
   border-radius:3px;
   -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
           box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-  background:#ffffff;
-  height:30px;
-  padding:0 10px;
-  vertical-align:middle;
-  line-height:30px;
   color:#182026;
   font-size:14px;
   font-weight:400;
+  height:30px;
+  line-height:30px;
+  outline:none;
+  padding:0 10px;
   -webkit-transition:-webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
   transition:-webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
   transition:box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
   transition:box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
-  -webkit-appearance:none;
-     -moz-appearance:none;
-          appearance:none;
+  vertical-align:middle;
   overflow:hidden;
   text-overflow:ellipsis;
   white-space:nowrap;
   word-wrap:normal;
-  position:absolute;
-  top:0;
-  right:0;
+  color:rgba(92, 112, 128, 0.6);
   left:0;
   padding-right:80px;
-  color:rgba(92, 112, 128, 0.6);
+  position:absolute;
+  right:0;
+  top:0;
   -webkit-user-select:none;
      -moz-user-select:none;
       -ms-user-select:none;
           user-select:none; }
   .bp3-file-upload-input::-webkit-input-placeholder{
-    opacity:1;
-    color:rgba(92, 112, 128, 0.6); }
+    color:rgba(92, 112, 128, 0.6);
+    opacity:1; }
   .bp3-file-upload-input::-moz-placeholder{
-    opacity:1;
-    color:rgba(92, 112, 128, 0.6); }
+    color:rgba(92, 112, 128, 0.6);
+    opacity:1; }
   .bp3-file-upload-input:-ms-input-placeholder{
-    opacity:1;
-    color:rgba(92, 112, 128, 0.6); }
+    color:rgba(92, 112, 128, 0.6);
+    opacity:1; }
   .bp3-file-upload-input::-ms-input-placeholder{
-    opacity:1;
-    color:rgba(92, 112, 128, 0.6); }
+    color:rgba(92, 112, 128, 0.6);
+    opacity:1; }
   .bp3-file-upload-input::placeholder{
-    opacity:1;
-    color:rgba(92, 112, 128, 0.6); }
+    color:rgba(92, 112, 128, 0.6);
+    opacity:1; }
   .bp3-file-upload-input:focus, .bp3-file-upload-input.bp3-active{
     -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
             box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
@@ -3453,81 +3825,81 @@ a.bp3-button{
     -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.15);
             box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.15); }
   .bp3-file-upload-input:disabled, .bp3-file-upload-input.bp3-disabled{
+    background:rgba(206, 217, 224, 0.5);
     -webkit-box-shadow:none;
             box-shadow:none;
-    background:rgba(206, 217, 224, 0.5);
-    cursor:not-allowed;
     color:rgba(92, 112, 128, 0.6);
+    cursor:not-allowed;
     resize:none; }
   .bp3-file-upload-input::after{
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
     background-color:#f5f8fa;
     background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.8)), to(rgba(255, 255, 255, 0)));
     background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.8), rgba(255, 255, 255, 0));
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
     color:#182026;
-    min-width:24px;
     min-height:24px;
+    min-width:24px;
     overflow:hidden;
     text-overflow:ellipsis;
     white-space:nowrap;
     word-wrap:normal;
+    border-radius:3px;
+    content:"Browse";
+    line-height:24px;
+    margin:3px;
     position:absolute;
-    top:0;
     right:0;
-    margin:3px;
-    border-radius:3px;
-    width:70px;
     text-align:center;
-    line-height:24px;
-    content:"Browse"; }
+    top:0;
+    width:70px; }
     .bp3-file-upload-input::after:hover{
-      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
-              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
       background-clip:padding-box;
-      background-color:#ebf1f5; }
+      background-color:#ebf1f5;
+      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1); }
     .bp3-file-upload-input::after:active, .bp3-file-upload-input::after.bp3-active{
-      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
       background-color:#d8e1e8;
-      background-image:none; }
+      background-image:none;
+      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
     .bp3-file-upload-input::after:disabled, .bp3-file-upload-input::after.bp3-disabled{
-      outline:none;
-      -webkit-box-shadow:none;
-              box-shadow:none;
       background-color:rgba(206, 217, 224, 0.5);
       background-image:none;
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      color:rgba(92, 112, 128, 0.6);
       cursor:not-allowed;
-      color:rgba(92, 112, 128, 0.6); }
+      outline:none; }
       .bp3-file-upload-input::after:disabled.bp3-active, .bp3-file-upload-input::after:disabled.bp3-active:hover, .bp3-file-upload-input::after.bp3-disabled.bp3-active, .bp3-file-upload-input::after.bp3-disabled.bp3-active:hover{
         background:rgba(206, 217, 224, 0.7); }
   .bp3-file-upload-input:hover::after{
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
     background-clip:padding-box;
-    background-color:#ebf1f5; }
+    background-color:#ebf1f5;
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1); }
   .bp3-file-upload-input:active::after{
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
     background-color:#d8e1e8;
-    background-image:none; }
+    background-image:none;
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
   .bp3-large .bp3-file-upload-input{
+    font-size:16px;
     height:40px;
     line-height:40px;
-    font-size:16px;
     padding-right:95px; }
     .bp3-large .bp3-file-upload-input[type="search"], .bp3-large .bp3-file-upload-input.bp3-round{
       padding:0 15px; }
     .bp3-large .bp3-file-upload-input::after{
-      min-width:30px;
       min-height:30px;
+      min-width:30px;
+      line-height:30px;
       margin:5px;
-      width:85px;
-      line-height:30px; }
+      width:85px; }
   .bp3-dark .bp3-file-upload-input{
+    background:rgba(16, 22, 26, 0.3);
     -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
             box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
-    background:rgba(16, 22, 26, 0.3);
     color:#f5f8fa;
     color:rgba(167, 182, 194, 0.6); }
     .bp3-dark .bp3-file-upload-input::-webkit-input-placeholder{
@@ -3547,33 +3919,33 @@ a.bp3-button{
       -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);
               box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4); }
     .bp3-dark .bp3-file-upload-input:disabled, .bp3-dark .bp3-file-upload-input.bp3-disabled{
+      background:rgba(57, 75, 89, 0.5);
       -webkit-box-shadow:none;
               box-shadow:none;
-      background:rgba(57, 75, 89, 0.5);
       color:rgba(167, 182, 194, 0.6); }
     .bp3-dark .bp3-file-upload-input::after{
-      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
       background-color:#394b59;
       background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.05)), to(rgba(255, 255, 255, 0)));
       background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.05), rgba(255, 255, 255, 0));
+      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
       color:#f5f8fa; }
       .bp3-dark .bp3-file-upload-input::after:hover, .bp3-dark .bp3-file-upload-input::after:active, .bp3-dark .bp3-file-upload-input::after.bp3-active{
         color:#f5f8fa; }
       .bp3-dark .bp3-file-upload-input::after:hover{
+        background-color:#30404d;
         -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-                box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-        background-color:#30404d; }
+                box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
       .bp3-dark .bp3-file-upload-input::after:active, .bp3-dark .bp3-file-upload-input::after.bp3-active{
-        -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-                box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
         background-color:#202b33;
-        background-image:none; }
+        background-image:none;
+        -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+                box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
       .bp3-dark .bp3-file-upload-input::after:disabled, .bp3-dark .bp3-file-upload-input::after.bp3-disabled{
-        -webkit-box-shadow:none;
-                box-shadow:none;
         background-color:rgba(57, 75, 89, 0.5);
         background-image:none;
+        -webkit-box-shadow:none;
+                box-shadow:none;
         color:rgba(167, 182, 194, 0.6); }
         .bp3-dark .bp3-file-upload-input::after:disabled.bp3-active, .bp3-dark .bp3-file-upload-input::after.bp3-disabled.bp3-active{
           background:rgba(57, 75, 89, 0.7); }
@@ -3581,15 +3953,14 @@ a.bp3-button{
         background:rgba(16, 22, 26, 0.5);
         stroke:#8a9ba8; }
     .bp3-dark .bp3-file-upload-input:hover::after{
+      background-color:#30404d;
       -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-      background-color:#30404d; }
+              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
     .bp3-dark .bp3-file-upload-input:active::after{
-      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
       background-color:#202b33;
-      background-image:none; }
-
+      background-image:none;
+      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
 .bp3-file-upload-input::after{
   -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
           box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1); }
@@ -3607,9 +3978,9 @@ a.bp3-button{
   .bp3-form-group .bp3-control{
     margin-top:7px; }
   .bp3-form-group .bp3-form-helper-text{
-    margin-top:5px;
     color:#5c7080;
-    font-size:12px; }
+    font-size:12px;
+    margin-top:5px; }
   .bp3-form-group.bp3-intent-primary .bp3-form-helper-text{
     color:#106ba3; }
   .bp3-form-group.bp3-intent-success .bp3-form-helper-text{
@@ -3619,19 +3990,19 @@ a.bp3-button{
   .bp3-form-group.bp3-intent-danger .bp3-form-helper-text{
     color:#c23030; }
   .bp3-form-group.bp3-inline{
+    -webkit-box-align:start;
+        -ms-flex-align:start;
+            align-items:flex-start;
     -webkit-box-orient:horizontal;
     -webkit-box-direction:normal;
         -ms-flex-direction:row;
-            flex-direction:row;
-    -webkit-box-align:start;
-        -ms-flex-align:start;
-            align-items:flex-start; }
+            flex-direction:row; }
     .bp3-form-group.bp3-inline.bp3-large label.bp3-label{
-      margin:0 10px 0 0;
-      line-height:40px; }
+      line-height:40px;
+      margin:0 10px 0 0; }
     .bp3-form-group.bp3-inline label.bp3-label{
-      margin:0 10px 0 0;
-      line-height:30px; }
+      line-height:30px;
+      margin:0 10px 0 0; }
   .bp3-form-group.bp3-disabled .bp3-label,
   .bp3-form-group.bp3-disabled .bp3-text-muted,
   .bp3-form-group.bp3-disabled .bp3-form-helper-text{
@@ -3661,36 +4032,44 @@ a.bp3-button{
     .bp3-input-group .bp3-input:not(:last-child){
       padding-right:30px; }
   .bp3-input-group .bp3-input-action,
+  .bp3-input-group > .bp3-input-left-container,
   .bp3-input-group > .bp3-button,
   .bp3-input-group > .bp3-icon{
     position:absolute;
     top:0; }
     .bp3-input-group .bp3-input-action:first-child,
+    .bp3-input-group > .bp3-input-left-container:first-child,
     .bp3-input-group > .bp3-button:first-child,
     .bp3-input-group > .bp3-icon:first-child{
       left:0; }
     .bp3-input-group .bp3-input-action:last-child,
+    .bp3-input-group > .bp3-input-left-container:last-child,
     .bp3-input-group > .bp3-button:last-child,
     .bp3-input-group > .bp3-icon:last-child{
       right:0; }
   .bp3-input-group .bp3-button{
-    min-width:24px;
     min-height:24px;
+    min-width:24px;
     margin:3px;
     padding:0 7px; }
     .bp3-input-group .bp3-button:empty{
       padding:0; }
+  .bp3-input-group > .bp3-input-left-container,
+  .bp3-input-group > .bp3-icon{
+    z-index:1; }
+  .bp3-input-group > .bp3-input-left-container > .bp3-icon,
   .bp3-input-group > .bp3-icon{
-    z-index:1;
     color:#5c7080; }
+    .bp3-input-group > .bp3-input-left-container > .bp3-icon:empty,
     .bp3-input-group > .bp3-icon:empty{
-      line-height:1;
       font-family:"Icons16", sans-serif;
       font-size:16px;
-      font-weight:400;
       font-style:normal;
+      font-weight:400;
+      line-height:1;
       -moz-osx-font-smoothing:grayscale;
       -webkit-font-smoothing:antialiased; }
+  .bp3-input-group > .bp3-input-left-container > .bp3-icon,
   .bp3-input-group > .bp3-icon,
   .bp3-input-group .bp3-input-action > .bp3-spinner{
     margin:7px; }
@@ -3720,16 +4099,17 @@ a.bp3-button{
     .bp3-input-group.bp3-disabled .bp3-icon{
       color:rgba(92, 112, 128, 0.6); }
   .bp3-input-group.bp3-large .bp3-button{
-    min-width:30px;
     min-height:30px;
+    min-width:30px;
     margin:5px; }
+  .bp3-input-group.bp3-large > .bp3-input-left-container > .bp3-icon,
   .bp3-input-group.bp3-large > .bp3-icon,
   .bp3-input-group.bp3-large .bp3-input-action > .bp3-spinner{
     margin:12px; }
   .bp3-input-group.bp3-large .bp3-input{
+    font-size:16px;
     height:40px;
-    line-height:40px;
-    font-size:16px; }
+    line-height:40px; }
     .bp3-input-group.bp3-large .bp3-input[type="search"], .bp3-input-group.bp3-large .bp3-input.bp3-round{
       padding:0 15px; }
     .bp3-input-group.bp3-large .bp3-input:not(:first-child){
@@ -3737,22 +4117,23 @@ a.bp3-button{
     .bp3-input-group.bp3-large .bp3-input:not(:last-child){
       padding-right:40px; }
   .bp3-input-group.bp3-small .bp3-button{
-    min-width:20px;
     min-height:20px;
+    min-width:20px;
     margin:2px; }
   .bp3-input-group.bp3-small .bp3-tag{
-    min-width:20px;
     min-height:20px;
+    min-width:20px;
     margin:2px; }
+  .bp3-input-group.bp3-small > .bp3-input-left-container > .bp3-icon,
   .bp3-input-group.bp3-small > .bp3-icon,
   .bp3-input-group.bp3-small .bp3-input-action > .bp3-spinner{
     margin:4px; }
   .bp3-input-group.bp3-small .bp3-input{
+    font-size:12px;
     height:24px;
-    padding-right:8px;
-    padding-left:8px;
     line-height:24px;
-    font-size:12px; }
+    padding-left:8px;
+    padding-right:8px; }
     .bp3-input-group.bp3-small .bp3-input[type="search"], .bp3-input-group.bp3-small .bp3-input.bp3-round{
       padding:0 12px; }
     .bp3-input-group.bp3-small .bp3-input:not(:first-child){
@@ -3837,41 +4218,41 @@ a.bp3-button{
     .bp3-dark .bp3-input-group.bp3-intent-danger > .bp3-icon{
       color:#ff7373; }
 .bp3-input{
-  outline:none;
+  -webkit-appearance:none;
+     -moz-appearance:none;
+          appearance:none;
+  background:#ffffff;
   border:none;
   border-radius:3px;
   -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
           box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-  background:#ffffff;
-  height:30px;
-  padding:0 10px;
-  vertical-align:middle;
-  line-height:30px;
   color:#182026;
   font-size:14px;
   font-weight:400;
+  height:30px;
+  line-height:30px;
+  outline:none;
+  padding:0 10px;
   -webkit-transition:-webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
   transition:-webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
   transition:box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
   transition:box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
-  -webkit-appearance:none;
-     -moz-appearance:none;
-          appearance:none; }
+  vertical-align:middle; }
   .bp3-input::-webkit-input-placeholder{
-    opacity:1;
-    color:rgba(92, 112, 128, 0.6); }
+    color:rgba(92, 112, 128, 0.6);
+    opacity:1; }
   .bp3-input::-moz-placeholder{
-    opacity:1;
-    color:rgba(92, 112, 128, 0.6); }
+    color:rgba(92, 112, 128, 0.6);
+    opacity:1; }
   .bp3-input:-ms-input-placeholder{
-    opacity:1;
-    color:rgba(92, 112, 128, 0.6); }
+    color:rgba(92, 112, 128, 0.6);
+    opacity:1; }
   .bp3-input::-ms-input-placeholder{
-    opacity:1;
-    color:rgba(92, 112, 128, 0.6); }
+    color:rgba(92, 112, 128, 0.6);
+    opacity:1; }
   .bp3-input::placeholder{
-    opacity:1;
-    color:rgba(92, 112, 128, 0.6); }
+    color:rgba(92, 112, 128, 0.6);
+    opacity:1; }
   .bp3-input:focus, .bp3-input.bp3-active{
     -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
             box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
@@ -3884,24 +4265,24 @@ a.bp3-button{
     -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.15);
             box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.15); }
   .bp3-input:disabled, .bp3-input.bp3-disabled{
+    background:rgba(206, 217, 224, 0.5);
     -webkit-box-shadow:none;
             box-shadow:none;
-    background:rgba(206, 217, 224, 0.5);
-    cursor:not-allowed;
     color:rgba(92, 112, 128, 0.6);
+    cursor:not-allowed;
     resize:none; }
   .bp3-input.bp3-large{
+    font-size:16px;
     height:40px;
-    line-height:40px;
-    font-size:16px; }
+    line-height:40px; }
     .bp3-input.bp3-large[type="search"], .bp3-input.bp3-large.bp3-round{
       padding:0 15px; }
   .bp3-input.bp3-small{
+    font-size:12px;
     height:24px;
-    padding-right:8px;
-    padding-left:8px;
     line-height:24px;
-    font-size:12px; }
+    padding-left:8px;
+    padding-right:8px; }
     .bp3-input.bp3-small[type="search"], .bp3-input.bp3-small.bp3-round{
       padding:0 12px; }
   .bp3-input.bp3-fill{
@@ -3910,9 +4291,9 @@ a.bp3-button{
             flex:1 1 auto;
     width:100%; }
   .bp3-dark .bp3-input{
+    background:rgba(16, 22, 26, 0.3);
     -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
             box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
-    background:rgba(16, 22, 26, 0.3);
     color:#f5f8fa; }
     .bp3-dark .bp3-input::-webkit-input-placeholder{
       color:rgba(167, 182, 194, 0.6); }
@@ -3931,9 +4312,9 @@ a.bp3-button{
       -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);
               box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4); }
     .bp3-dark .bp3-input:disabled, .bp3-dark .bp3-input.bp3-disabled{
+      background:rgba(57, 75, 89, 0.5);
       -webkit-box-shadow:none;
               box-shadow:none;
-      background:rgba(57, 75, 89, 0.5);
       color:rgba(167, 182, 194, 0.6); }
   .bp3-input.bp3-intent-primary{
     -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px #137cbd, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
@@ -4042,9 +4423,9 @@ textarea.bp3-input{
   textarea.bp3-input.bp3-small{
     padding:8px; }
   .bp3-dark textarea.bp3-input{
+    background:rgba(16, 22, 26, 0.3);
     -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
             box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
-    background:rgba(16, 22, 26, 0.3);
     color:#f5f8fa; }
     .bp3-dark textarea.bp3-input::-webkit-input-placeholder{
       color:rgba(167, 182, 194, 0.6); }
@@ -4063,14 +4444,14 @@ textarea.bp3-input{
       -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);
               box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4); }
     .bp3-dark textarea.bp3-input:disabled, .bp3-dark textarea.bp3-input.bp3-disabled{
+      background:rgba(57, 75, 89, 0.5);
       -webkit-box-shadow:none;
               box-shadow:none;
-      background:rgba(57, 75, 89, 0.5);
       color:rgba(167, 182, 194, 0.6); }
 label.bp3-label{
   display:block;
-  margin-top:0;
-  margin-bottom:15px; }
+  margin-bottom:15px;
+  margin-top:0; }
   label.bp3-label .bp3-html-select,
   label.bp3-label .bp3-input,
   label.bp3-label .bp3-select,
@@ -4083,9 +4464,9 @@ label.bp3-label{
     margin-top:5px; }
   label.bp3-label .bp3-select select,
   label.bp3-label .bp3-html-select select{
-    width:100%;
+    font-weight:400;
     vertical-align:top;
-    font-weight:400; }
+    width:100%; }
   label.bp3-label.bp3-disabled,
   label.bp3-label.bp3-disabled .bp3-text-muted{
     color:rgba(92, 112, 128, 0.6); }
@@ -4116,9 +4497,9 @@ label.bp3-label{
   -webkit-box-flex:1;
       -ms-flex:1 1 14px;
           flex:1 1 14px;
-  width:30px;
   min-height:0;
-  padding:0; }
+  padding:0;
+  width:30px; }
   .bp3-numeric-input .bp3-button-group.bp3-vertical > .bp3-button:first-child{
     border-radius:0 3px 0 0; }
   .bp3-numeric-input .bp3-button-group.bp3-vertical > .bp3-button:last-child{
@@ -4147,28 +4528,28 @@ form{
   -webkit-box-align:center;
       -ms-flex-align:center;
           align-items:center;
-  -webkit-box-pack:center;
-      -ms-flex-pack:center;
-          justify-content:center;
   border:none;
   border-radius:3px;
   cursor:pointer;
+  font-size:14px;
+  -webkit-box-pack:center;
+      -ms-flex-pack:center;
+          justify-content:center;
   padding:5px 10px;
-  vertical-align:middle;
   text-align:left;
-  font-size:14px;
-  -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
-          box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+  vertical-align:middle;
   background-color:#f5f8fa;
   background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.8)), to(rgba(255, 255, 255, 0)));
   background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.8), rgba(255, 255, 255, 0));
+  -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+          box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
   color:#182026;
+  -moz-appearance:none;
+  -webkit-appearance:none;
   border-radius:3px;
-  width:100%;
   height:30px;
   padding:0 25px 0 10px;
-  -moz-appearance:none;
-  -webkit-appearance:none; }
+  width:100%; }
   .bp3-html-select select > *, .bp3-select select > *{
     -webkit-box-flex:0;
         -ms-flex-positive:0;
@@ -4191,27 +4572,27 @@ form{
     margin-right:0; }
   .bp3-html-select select:hover,
   .bp3-select select:hover{
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
     background-clip:padding-box;
-    background-color:#ebf1f5; }
+    background-color:#ebf1f5;
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1); }
   .bp3-html-select select:active,
   .bp3-select select:active, .bp3-html-select select.bp3-active,
   .bp3-select select.bp3-active{
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
     background-color:#d8e1e8;
-    background-image:none; }
+    background-image:none;
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
   .bp3-html-select select:disabled,
   .bp3-select select:disabled, .bp3-html-select select.bp3-disabled,
   .bp3-select select.bp3-disabled{
-    outline:none;
-    -webkit-box-shadow:none;
-            box-shadow:none;
     background-color:rgba(206, 217, 224, 0.5);
     background-image:none;
+    -webkit-box-shadow:none;
+            box-shadow:none;
+    color:rgba(92, 112, 128, 0.6);
     cursor:not-allowed;
-    color:rgba(92, 112, 128, 0.6); }
+    outline:none; }
     .bp3-html-select select:disabled.bp3-active,
     .bp3-select select:disabled.bp3-active, .bp3-html-select select:disabled.bp3-active:hover,
     .bp3-select select:disabled.bp3-active:hover, .bp3-html-select select.bp3-disabled.bp3-active,
@@ -4221,22 +4602,22 @@ form{
 
 .bp3-html-select.bp3-minimal select,
 .bp3-select.bp3-minimal select{
+  background:none;
   -webkit-box-shadow:none;
-          box-shadow:none;
-  background:none; }
+          box-shadow:none; }
   .bp3-html-select.bp3-minimal select:hover,
   .bp3-select.bp3-minimal select:hover{
+    background:rgba(167, 182, 194, 0.3);
     -webkit-box-shadow:none;
             box-shadow:none;
-    background:rgba(167, 182, 194, 0.3);
-    text-decoration:none;
-    color:#182026; }
+    color:#182026;
+    text-decoration:none; }
   .bp3-html-select.bp3-minimal select:active,
   .bp3-select.bp3-minimal select:active, .bp3-html-select.bp3-minimal select.bp3-active,
   .bp3-select.bp3-minimal select.bp3-active{
+    background:rgba(115, 134, 148, 0.3);
     -webkit-box-shadow:none;
             box-shadow:none;
-    background:rgba(115, 134, 148, 0.3);
     color:#182026; }
   .bp3-html-select.bp3-minimal select:disabled,
   .bp3-select.bp3-minimal select:disabled, .bp3-html-select.bp3-minimal select:disabled:hover,
@@ -4244,8 +4625,8 @@ form{
   .bp3-select.bp3-minimal select.bp3-disabled, .bp3-html-select.bp3-minimal select.bp3-disabled:hover,
   .bp3-select.bp3-minimal select.bp3-disabled:hover{
     background:none;
-    cursor:not-allowed;
-    color:rgba(92, 112, 128, 0.6); }
+    color:rgba(92, 112, 128, 0.6);
+    cursor:not-allowed; }
     .bp3-html-select.bp3-minimal select:disabled.bp3-active,
     .bp3-select.bp3-minimal select:disabled.bp3-active, .bp3-html-select.bp3-minimal select:disabled:hover.bp3-active,
     .bp3-select.bp3-minimal select:disabled:hover.bp3-active, .bp3-html-select.bp3-minimal select.bp3-disabled.bp3-active,
@@ -4254,17 +4635,17 @@ form{
       background:rgba(115, 134, 148, 0.3); }
   .bp3-dark .bp3-html-select.bp3-minimal select, .bp3-html-select.bp3-minimal .bp3-dark select,
   .bp3-dark .bp3-select.bp3-minimal select, .bp3-select.bp3-minimal .bp3-dark select{
+    background:none;
     -webkit-box-shadow:none;
             box-shadow:none;
-    background:none;
     color:inherit; }
     .bp3-dark .bp3-html-select.bp3-minimal select:hover, .bp3-html-select.bp3-minimal .bp3-dark select:hover,
     .bp3-dark .bp3-select.bp3-minimal select:hover, .bp3-select.bp3-minimal .bp3-dark select:hover, .bp3-dark .bp3-html-select.bp3-minimal select:active, .bp3-html-select.bp3-minimal .bp3-dark select:active,
     .bp3-dark .bp3-select.bp3-minimal select:active, .bp3-select.bp3-minimal .bp3-dark select:active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-active,
     .bp3-dark .bp3-select.bp3-minimal select.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-active{
+      background:none;
       -webkit-box-shadow:none;
-              box-shadow:none;
-      background:none; }
+              box-shadow:none; }
     .bp3-dark .bp3-html-select.bp3-minimal select:hover, .bp3-html-select.bp3-minimal .bp3-dark select:hover,
     .bp3-dark .bp3-select.bp3-minimal select:hover, .bp3-select.bp3-minimal .bp3-dark select:hover{
       background:rgba(138, 155, 168, 0.15); }
@@ -4279,8 +4660,8 @@ form{
     .bp3-dark .bp3-select.bp3-minimal select.bp3-disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-disabled, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-disabled:hover, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-disabled:hover,
     .bp3-dark .bp3-select.bp3-minimal select.bp3-disabled:hover, .bp3-select.bp3-minimal .bp3-dark select.bp3-disabled:hover{
       background:none;
-      cursor:not-allowed;
-      color:rgba(167, 182, 194, 0.6); }
+      color:rgba(167, 182, 194, 0.6);
+      cursor:not-allowed; }
       .bp3-dark .bp3-html-select.bp3-minimal select:disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select:disabled.bp3-active,
       .bp3-dark .bp3-select.bp3-minimal select:disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select:disabled.bp3-active, .bp3-dark .bp3-html-select.bp3-minimal select:disabled:hover.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select:disabled:hover.bp3-active,
       .bp3-dark .bp3-select.bp3-minimal select:disabled:hover.bp3-active, .bp3-select.bp3-minimal .bp3-dark select:disabled:hover.bp3-active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-disabled.bp3-active,
@@ -4294,9 +4675,9 @@ form{
     .bp3-select.bp3-minimal select.bp3-intent-primary:hover, .bp3-html-select.bp3-minimal select.bp3-intent-primary:active,
     .bp3-select.bp3-minimal select.bp3-intent-primary:active, .bp3-html-select.bp3-minimal select.bp3-intent-primary.bp3-active,
     .bp3-select.bp3-minimal select.bp3-intent-primary.bp3-active{
+      background:none;
       -webkit-box-shadow:none;
               box-shadow:none;
-      background:none;
       color:#106ba3; }
     .bp3-html-select.bp3-minimal select.bp3-intent-primary:hover,
     .bp3-select.bp3-minimal select.bp3-intent-primary:hover{
@@ -4346,9 +4727,9 @@ form{
     .bp3-select.bp3-minimal select.bp3-intent-success:hover, .bp3-html-select.bp3-minimal select.bp3-intent-success:active,
     .bp3-select.bp3-minimal select.bp3-intent-success:active, .bp3-html-select.bp3-minimal select.bp3-intent-success.bp3-active,
     .bp3-select.bp3-minimal select.bp3-intent-success.bp3-active{
+      background:none;
       -webkit-box-shadow:none;
               box-shadow:none;
-      background:none;
       color:#0d8050; }
     .bp3-html-select.bp3-minimal select.bp3-intent-success:hover,
     .bp3-select.bp3-minimal select.bp3-intent-success:hover{
@@ -4398,9 +4779,9 @@ form{
     .bp3-select.bp3-minimal select.bp3-intent-warning:hover, .bp3-html-select.bp3-minimal select.bp3-intent-warning:active,
     .bp3-select.bp3-minimal select.bp3-intent-warning:active, .bp3-html-select.bp3-minimal select.bp3-intent-warning.bp3-active,
     .bp3-select.bp3-minimal select.bp3-intent-warning.bp3-active{
+      background:none;
       -webkit-box-shadow:none;
               box-shadow:none;
-      background:none;
       color:#bf7326; }
     .bp3-html-select.bp3-minimal select.bp3-intent-warning:hover,
     .bp3-select.bp3-minimal select.bp3-intent-warning:hover{
@@ -4450,9 +4831,9 @@ form{
     .bp3-select.bp3-minimal select.bp3-intent-danger:hover, .bp3-html-select.bp3-minimal select.bp3-intent-danger:active,
     .bp3-select.bp3-minimal select.bp3-intent-danger:active, .bp3-html-select.bp3-minimal select.bp3-intent-danger.bp3-active,
     .bp3-select.bp3-minimal select.bp3-intent-danger.bp3-active{
+      background:none;
       -webkit-box-shadow:none;
               box-shadow:none;
-      background:none;
       color:#c23030; }
     .bp3-html-select.bp3-minimal select.bp3-intent-danger:hover,
     .bp3-select.bp3-minimal select.bp3-intent-danger:hover{
@@ -4498,33 +4879,33 @@ form{
 
 .bp3-html-select.bp3-large select,
 .bp3-select.bp3-large select{
+  font-size:16px;
   height:40px;
-  padding-right:35px;
-  font-size:16px; }
+  padding-right:35px; }
 
 .bp3-dark .bp3-html-select select, .bp3-dark .bp3-select select{
-  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
   background-color:#394b59;
   background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.05)), to(rgba(255, 255, 255, 0)));
   background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.05), rgba(255, 255, 255, 0));
+  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
   color:#f5f8fa; }
   .bp3-dark .bp3-html-select select:hover, .bp3-dark .bp3-select select:hover, .bp3-dark .bp3-html-select select:active, .bp3-dark .bp3-select select:active, .bp3-dark .bp3-html-select select.bp3-active, .bp3-dark .bp3-select select.bp3-active{
     color:#f5f8fa; }
   .bp3-dark .bp3-html-select select:hover, .bp3-dark .bp3-select select:hover{
+    background-color:#30404d;
     -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-    background-color:#30404d; }
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
   .bp3-dark .bp3-html-select select:active, .bp3-dark .bp3-select select:active, .bp3-dark .bp3-html-select select.bp3-active, .bp3-dark .bp3-select select.bp3-active{
-    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
     background-color:#202b33;
-    background-image:none; }
+    background-image:none;
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
   .bp3-dark .bp3-html-select select:disabled, .bp3-dark .bp3-select select:disabled, .bp3-dark .bp3-html-select select.bp3-disabled, .bp3-dark .bp3-select select.bp3-disabled{
-    -webkit-box-shadow:none;
-            box-shadow:none;
     background-color:rgba(57, 75, 89, 0.5);
     background-image:none;
+    -webkit-box-shadow:none;
+            box-shadow:none;
     color:rgba(167, 182, 194, 0.6); }
     .bp3-dark .bp3-html-select select:disabled.bp3-active, .bp3-dark .bp3-select select:disabled.bp3-active, .bp3-dark .bp3-html-select select.bp3-disabled.bp3-active, .bp3-dark .bp3-select select.bp3-disabled.bp3-active{
       background:rgba(57, 75, 89, 0.7); }
@@ -4534,28 +4915,28 @@ form{
 
 .bp3-html-select select:disabled,
 .bp3-select select:disabled{
+  background-color:rgba(206, 217, 224, 0.5);
   -webkit-box-shadow:none;
           box-shadow:none;
-  background-color:rgba(206, 217, 224, 0.5);
-  cursor:not-allowed;
-  color:rgba(92, 112, 128, 0.6); }
+  color:rgba(92, 112, 128, 0.6);
+  cursor:not-allowed; }
 
 .bp3-html-select .bp3-icon,
 .bp3-select .bp3-icon, .bp3-select::after{
+  color:#5c7080;
+  pointer-events:none;
   position:absolute;
-  top:7px;
   right:7px;
-  color:#5c7080;
-  pointer-events:none; }
+  top:7px; }
   .bp3-html-select .bp3-disabled.bp3-icon,
   .bp3-select .bp3-disabled.bp3-icon, .bp3-disabled.bp3-select::after{
     color:rgba(92, 112, 128, 0.6); }
 .bp3-html-select,
 .bp3-select{
   display:inline-block;
+  letter-spacing:normal;
   position:relative;
-  vertical-align:middle;
-  letter-spacing:normal; }
+  vertical-align:middle; }
   .bp3-html-select select::-ms-expand,
   .bp3-select select::-ms-expand{
     display:none; }
@@ -4575,8 +4956,8 @@ form{
   .bp3-html-select.bp3-large .bp3-icon,
   .bp3-select.bp3-large::after,
   .bp3-select.bp3-large .bp3-icon{
-    top:12px;
-    right:12px; }
+    right:12px;
+    top:12px; }
   .bp3-html-select.bp3-fill,
   .bp3-html-select.bp3-fill select,
   .bp3-select.bp3-fill,
@@ -4586,16 +4967,19 @@ form{
   .bp3-select option{
     background-color:#30404d;
     color:#f5f8fa; }
+  .bp3-dark .bp3-html-select option:disabled, .bp3-dark
+  .bp3-select option:disabled{
+    color:rgba(167, 182, 194, 0.6); }
   .bp3-dark .bp3-html-select::after, .bp3-dark
   .bp3-select::after{
     color:#a7b6c2; }
 
 .bp3-select::after{
-  line-height:1;
   font-family:"Icons16", sans-serif;
   font-size:16px;
-  font-weight:400;
   font-style:normal;
+  font-weight:400;
+  line-height:1;
   -moz-osx-font-smoothing:grayscale;
   -webkit-font-smoothing:antialiased;
   content:""; }
@@ -4606,8 +4990,8 @@ form{
   .bp3-running-text table td,
   table.bp3-html-table td{
     padding:11px;
-    vertical-align:top;
-    text-align:left; }
+    text-align:left;
+    vertical-align:top; }
   .bp3-running-text table th, table.bp3-html-table th{
     color:#182026;
     font-weight:600; }
@@ -4617,7 +5001,11 @@ form{
     color:#182026; }
   .bp3-running-text table tbody tr:first-child th, table.bp3-html-table tbody tr:first-child th,
   .bp3-running-text table tbody tr:first-child td,
-  table.bp3-html-table tbody tr:first-child td{
+  table.bp3-html-table tbody tr:first-child td,
+  .bp3-running-text table tfoot tr:first-child th,
+  table.bp3-html-table tfoot tr:first-child th,
+  .bp3-running-text table tfoot tr:first-child td,
+  table.bp3-html-table tfoot tr:first-child td{
     -webkit-box-shadow:inset 0 1px 0 0 rgba(16, 22, 26, 0.15);
             box-shadow:inset 0 1px 0 0 rgba(16, 22, 26, 0.15); }
   .bp3-dark .bp3-running-text table th, .bp3-running-text .bp3-dark table th, .bp3-dark table.bp3-html-table th{
@@ -4627,15 +5015,21 @@ form{
   .bp3-dark .bp3-running-text table tbody tr:first-child th, .bp3-running-text .bp3-dark table tbody tr:first-child th, .bp3-dark table.bp3-html-table tbody tr:first-child th,
   .bp3-dark .bp3-running-text table tbody tr:first-child td,
   .bp3-running-text .bp3-dark table tbody tr:first-child td,
-  .bp3-dark table.bp3-html-table tbody tr:first-child td{
+  .bp3-dark table.bp3-html-table tbody tr:first-child td,
+  .bp3-dark .bp3-running-text table tfoot tr:first-child th,
+  .bp3-running-text .bp3-dark table tfoot tr:first-child th,
+  .bp3-dark table.bp3-html-table tfoot tr:first-child th,
+  .bp3-dark .bp3-running-text table tfoot tr:first-child td,
+  .bp3-running-text .bp3-dark table tfoot tr:first-child td,
+  .bp3-dark table.bp3-html-table tfoot tr:first-child td{
     -webkit-box-shadow:inset 0 1px 0 0 rgba(255, 255, 255, 0.15);
             box-shadow:inset 0 1px 0 0 rgba(255, 255, 255, 0.15); }
 
 table.bp3-html-table.bp3-html-table-condensed th,
 table.bp3-html-table.bp3-html-table-condensed td, table.bp3-html-table.bp3-small th,
 table.bp3-html-table.bp3-small td{
-  padding-top:6px;
-  padding-bottom:6px; }
+  padding-bottom:6px;
+  padding-top:6px; }
 
 table.bp3-html-table.bp3-html-table-striped tbody tr:nth-child(odd) td{
   background:rgba(191, 204, 214, 0.15); }
@@ -4644,10 +5038,12 @@ table.bp3-html-table.bp3-html-table-bordered th:not(:first-child){
   -webkit-box-shadow:inset 1px 0 0 0 rgba(16, 22, 26, 0.15);
           box-shadow:inset 1px 0 0 0 rgba(16, 22, 26, 0.15); }
 
-table.bp3-html-table.bp3-html-table-bordered tbody tr td{
+table.bp3-html-table.bp3-html-table-bordered tbody tr td,
+table.bp3-html-table.bp3-html-table-bordered tfoot tr td{
   -webkit-box-shadow:inset 0 1px 0 0 rgba(16, 22, 26, 0.15);
           box-shadow:inset 0 1px 0 0 rgba(16, 22, 26, 0.15); }
-  table.bp3-html-table.bp3-html-table-bordered tbody tr td:not(:first-child){
+  table.bp3-html-table.bp3-html-table-bordered tbody tr td:not(:first-child),
+  table.bp3-html-table.bp3-html-table-bordered tfoot tr td:not(:first-child){
     -webkit-box-shadow:inset 1px 1px 0 0 rgba(16, 22, 26, 0.15);
             box-shadow:inset 1px 1px 0 0 rgba(16, 22, 26, 0.15); }
 
@@ -4665,33 +5061,31 @@ table.bp3-html-table.bp3-interactive tbody tr:hover td{
 table.bp3-html-table.bp3-interactive tbody tr:active td{
   background-color:rgba(191, 204, 214, 0.4); }
 
-.bp3-dark table.bp3-html-table.bp3-html-table-striped tbody tr:nth-child(odd) td{
-  background:rgba(92, 112, 128, 0.15); }
-
-.bp3-dark table.bp3-html-table.bp3-html-table-bordered th:not(:first-child){
-  -webkit-box-shadow:inset 1px 0 0 0 rgba(255, 255, 255, 0.15);
-          box-shadow:inset 1px 0 0 0 rgba(255, 255, 255, 0.15); }
-
-.bp3-dark table.bp3-html-table.bp3-html-table-bordered tbody tr td{
-  -webkit-box-shadow:inset 0 1px 0 0 rgba(255, 255, 255, 0.15);
-          box-shadow:inset 0 1px 0 0 rgba(255, 255, 255, 0.15); }
-  .bp3-dark table.bp3-html-table.bp3-html-table-bordered tbody tr td:not(:first-child){
-    -webkit-box-shadow:inset 1px 1px 0 0 rgba(255, 255, 255, 0.15);
-            box-shadow:inset 1px 1px 0 0 rgba(255, 255, 255, 0.15); }
-
-.bp3-dark table.bp3-html-table.bp3-html-table-bordered.bp3-html-table-striped tbody tr:not(:first-child) td{
-  -webkit-box-shadow:inset 1px 0 0 0 rgba(255, 255, 255, 0.15);
-          box-shadow:inset 1px 0 0 0 rgba(255, 255, 255, 0.15); }
-  .bp3-dark table.bp3-html-table.bp3-html-table-bordered.bp3-html-table-striped tbody tr:not(:first-child) td:first-child{
-    -webkit-box-shadow:none;
-            box-shadow:none; }
-
-.bp3-dark table.bp3-html-table.bp3-interactive tbody tr:hover td{
-  background-color:rgba(92, 112, 128, 0.3);
-  cursor:pointer; }
-
-.bp3-dark table.bp3-html-table.bp3-interactive tbody tr:active td{
-  background-color:rgba(92, 112, 128, 0.4); }
+.bp3-dark table.bp3-html-table{ }
+  .bp3-dark table.bp3-html-table.bp3-html-table-striped tbody tr:nth-child(odd) td{
+    background:rgba(92, 112, 128, 0.15); }
+  .bp3-dark table.bp3-html-table.bp3-html-table-bordered th:not(:first-child){
+    -webkit-box-shadow:inset 1px 0 0 0 rgba(255, 255, 255, 0.15);
+            box-shadow:inset 1px 0 0 0 rgba(255, 255, 255, 0.15); }
+  .bp3-dark table.bp3-html-table.bp3-html-table-bordered tbody tr td,
+  .bp3-dark table.bp3-html-table.bp3-html-table-bordered tfoot tr td{
+    -webkit-box-shadow:inset 0 1px 0 0 rgba(255, 255, 255, 0.15);
+            box-shadow:inset 0 1px 0 0 rgba(255, 255, 255, 0.15); }
+    .bp3-dark table.bp3-html-table.bp3-html-table-bordered tbody tr td:not(:first-child),
+    .bp3-dark table.bp3-html-table.bp3-html-table-bordered tfoot tr td:not(:first-child){
+      -webkit-box-shadow:inset 1px 1px 0 0 rgba(255, 255, 255, 0.15);
+              box-shadow:inset 1px 1px 0 0 rgba(255, 255, 255, 0.15); }
+  .bp3-dark table.bp3-html-table.bp3-html-table-bordered.bp3-html-table-striped tbody tr:not(:first-child) td{
+    -webkit-box-shadow:inset 1px 0 0 0 rgba(255, 255, 255, 0.15);
+            box-shadow:inset 1px 0 0 0 rgba(255, 255, 255, 0.15); }
+    .bp3-dark table.bp3-html-table.bp3-html-table-bordered.bp3-html-table-striped tbody tr:not(:first-child) td:first-child{
+      -webkit-box-shadow:none;
+              box-shadow:none; }
+  .bp3-dark table.bp3-html-table.bp3-interactive tbody tr:hover td{
+    background-color:rgba(92, 112, 128, 0.3);
+    cursor:pointer; }
+  .bp3-dark table.bp3-html-table.bp3-interactive tbody tr:active td{
+    background-color:rgba(92, 112, 128, 0.4); }
 
 .bp3-key-combo{
   display:-webkit-box;
@@ -4724,8 +5118,8 @@ table.bp3-html-table.bp3-interactive tbody tr:active td{
     margin-right:0; }
 
 .bp3-hotkey-dialog{
-  top:40px;
-  padding-bottom:0; }
+  padding-bottom:0;
+  top:40px; }
   .bp3-hotkey-dialog .bp3-dialog-body{
     margin:0;
     padding:0; }
@@ -4745,17 +5139,17 @@ table.bp3-html-table.bp3-interactive tbody tr:active td{
       margin-top:40px; }
 
 .bp3-hotkey{
-  display:-webkit-box;
-  display:-ms-flexbox;
-  display:flex;
   -webkit-box-align:center;
       -ms-flex-align:center;
           align-items:center;
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
   -webkit-box-pack:justify;
       -ms-flex-pack:justify;
           justify-content:space-between;
-  margin-right:0;
-  margin-left:0; }
+  margin-left:0;
+  margin-right:0; }
   .bp3-hotkey:not(:last-child){
     margin-bottom:10px; }
 .bp3-icon{
@@ -4793,31 +5187,31 @@ table.bp3-html-table.bp3-interactive tbody tr:active td{
     color:#ff7373; }
 
 span.bp3-icon-standard{
-  line-height:1;
   font-family:"Icons16", sans-serif;
   font-size:16px;
-  font-weight:400;
   font-style:normal;
+  font-weight:400;
+  line-height:1;
   -moz-osx-font-smoothing:grayscale;
   -webkit-font-smoothing:antialiased;
   display:inline-block; }
 
 span.bp3-icon-large{
-  line-height:1;
   font-family:"Icons20", sans-serif;
   font-size:20px;
-  font-weight:400;
   font-style:normal;
+  font-weight:400;
+  line-height:1;
   -moz-osx-font-smoothing:grayscale;
   -webkit-font-smoothing:antialiased;
   display:inline-block; }
 
 span.bp3-icon:empty{
-  line-height:1;
   font-family:"Icons20";
   font-size:inherit;
+  font-style:normal;
   font-weight:400;
-  font-style:normal; }
+  line-height:1; }
   span.bp3-icon:empty::before{
     -moz-osx-font-smoothing:grayscale;
     -webkit-font-smoothing:antialiased; }
@@ -5131,6 +5525,9 @@ span.bp3-icon:empty{
 .bp3-icon-desktop::before{
   content:""; }
 
+.bp3-icon-diagnosis::before{
+  content:""; }
+
 .bp3-icon-diagram-tree::before{
   content:""; }
 
@@ -5566,6 +5963,9 @@ span.bp3-icon:empty{
 .bp3-icon-known-vehicle::before{
   content:""; }
 
+.bp3-icon-lab-test::before{
+  content:""; }
+
 .bp3-icon-label::before{
   content:""; }
 
@@ -6278,6 +6678,7 @@ span.bp3-icon:empty{
 
 .bp3-submenu .bp3-popover-target{
   display:block; }
+  .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-menu-item{ }
 
 .bp3-submenu.bp3-popover{
   -webkit-box-shadow:none;
@@ -6293,19 +6694,19 @@ span.bp3-icon:empty{
       -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4);
               box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4); }
 .bp3-menu{
-  margin:0;
-  border-radius:3px;
   background:#ffffff;
+  border-radius:3px;
+  color:#182026;
+  list-style:none;
+  margin:0;
   min-width:180px;
   padding:5px;
-  list-style:none;
-  text-align:left;
-  color:#182026; }
+  text-align:left; }
 
 .bp3-menu-divider{
+  border-top:1px solid rgba(16, 22, 26, 0.15);
   display:block;
-  margin:5px;
-  border-top:1px solid rgba(16, 22, 26, 0.15); }
+  margin:5px; }
   .bp3-dark .bp3-menu-divider{
     border-top-color:rgba(255, 255, 255, 0.15); }
 
@@ -6321,10 +6722,10 @@ span.bp3-icon:empty{
       -ms-flex-align:start;
           align-items:flex-start;
   border-radius:2px;
+  color:inherit;
+  line-height:20px;
   padding:5px 7px;
   text-decoration:none;
-  line-height:20px;
-  color:inherit;
   -webkit-user-select:none;
      -moz-user-select:none;
       -ms-user-select:none;
@@ -6355,8 +6756,8 @@ span.bp3-icon:empty{
     text-decoration:none; }
   .bp3-menu-item.bp3-disabled{
     background-color:inherit;
-    cursor:not-allowed;
-    color:rgba(92, 112, 128, 0.6); }
+    color:rgba(92, 112, 128, 0.6);
+    cursor:not-allowed; }
   .bp3-dark .bp3-menu-item{
     color:inherit; }
     .bp3-dark .bp3-menu-item:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-menu-item{
@@ -6434,18 +6835,18 @@ span.bp3-icon:empty{
     .bp3-menu-item.bp3-intent-danger.bp3-active .bp3-menu-item-label{
       color:#ffffff; }
   .bp3-menu-item::before{
-    line-height:1;
     font-family:"Icons16", sans-serif;
     font-size:16px;
-    font-weight:400;
     font-style:normal;
+    font-weight:400;
+    line-height:1;
     -moz-osx-font-smoothing:grayscale;
     -webkit-font-smoothing:antialiased;
     margin-right:7px; }
   .bp3-menu-item::before,
   .bp3-menu-item > .bp3-icon{
-    margin-top:2px;
-    color:#5c7080; }
+    color:#5c7080;
+    margin-top:2px; }
   .bp3-menu-item .bp3-menu-item-label{
     color:#5c7080; }
   .bp3-menu-item:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-menu-item{
@@ -6453,40 +6854,40 @@ span.bp3-icon:empty{
   .bp3-menu-item.bp3-active, .bp3-menu-item:active{
     background-color:rgba(115, 134, 148, 0.3); }
   .bp3-menu-item.bp3-disabled{
-    outline:none !important;
     background-color:inherit !important;
+    color:rgba(92, 112, 128, 0.6) !important;
     cursor:not-allowed !important;
-    color:rgba(92, 112, 128, 0.6) !important; }
+    outline:none !important; }
     .bp3-menu-item.bp3-disabled::before,
     .bp3-menu-item.bp3-disabled > .bp3-icon,
     .bp3-menu-item.bp3-disabled .bp3-menu-item-label{
       color:rgba(92, 112, 128, 0.6) !important; }
   .bp3-large .bp3-menu-item{
-    padding:9px 7px;
+    font-size:16px;
     line-height:22px;
-    font-size:16px; }
+    padding:9px 7px; }
     .bp3-large .bp3-menu-item .bp3-icon{
       margin-top:3px; }
     .bp3-large .bp3-menu-item::before{
-      line-height:1;
       font-family:"Icons20", sans-serif;
       font-size:20px;
-      font-weight:400;
       font-style:normal;
+      font-weight:400;
+      line-height:1;
       -moz-osx-font-smoothing:grayscale;
       -webkit-font-smoothing:antialiased;
-      margin-top:1px;
-      margin-right:10px; }
+      margin-right:10px;
+      margin-top:1px; }
 
 button.bp3-menu-item{
-  border:none;
   background:none;
-  width:100%;
-  text-align:left; }
+  border:none;
+  text-align:left;
+  width:100%; }
 .bp3-menu-header{
+  border-top:1px solid rgba(16, 22, 26, 0.15);
   display:block;
   margin:5px;
-  border-top:1px solid rgba(16, 22, 26, 0.15);
   cursor:default;
   padding-left:2px; }
   .bp3-dark .bp3-menu-header{
@@ -6500,17 +6901,17 @@ button.bp3-menu-item{
     text-overflow:ellipsis;
     white-space:nowrap;
     word-wrap:normal;
+    line-height:17px;
     margin:0;
-    padding:10px 7px 0 1px;
-    line-height:17px; }
+    padding:10px 7px 0 1px; }
     .bp3-dark .bp3-menu-header > h6{
       color:#f5f8fa; }
   .bp3-menu-header:first-of-type > h6{
     padding-top:0; }
   .bp3-large .bp3-menu-header > h6{
-    padding-top:15px;
+    font-size:18px;
     padding-bottom:5px;
-    font-size:18px; }
+    padding-top:15px; }
   .bp3-large .bp3-menu-header:first-of-type > h6{
     padding-top:0; }
 
@@ -6518,98 +6919,92 @@ button.bp3-menu-item{
   background:#30404d;
   color:#f5f8fa; }
 
-.bp3-dark .bp3-menu-item.bp3-intent-primary{
-  color:#48aff0; }
-  .bp3-dark .bp3-menu-item.bp3-intent-primary .bp3-icon{
-    color:inherit; }
-  .bp3-dark .bp3-menu-item.bp3-intent-primary::before, .bp3-dark .bp3-menu-item.bp3-intent-primary::after,
-  .bp3-dark .bp3-menu-item.bp3-intent-primary .bp3-menu-item-label{
+.bp3-dark .bp3-menu-item{ }
+  .bp3-dark .bp3-menu-item.bp3-intent-primary{
     color:#48aff0; }
-  .bp3-dark .bp3-menu-item.bp3-intent-primary:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-primary.bp3-active{
-    background-color:#137cbd; }
-  .bp3-dark .bp3-menu-item.bp3-intent-primary:active{
-    background-color:#106ba3; }
-  .bp3-dark .bp3-menu-item.bp3-intent-primary:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-primary:hover::before, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item::before, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item::before, .bp3-dark .bp3-menu-item.bp3-intent-primary:hover::after, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item::after, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item::after,
-  .bp3-dark .bp3-menu-item.bp3-intent-primary:hover .bp3-menu-item-label,
-  .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item .bp3-menu-item-label,
-  .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-primary:active, .bp3-dark .bp3-menu-item.bp3-intent-primary:active::before, .bp3-dark .bp3-menu-item.bp3-intent-primary:active::after,
-  .bp3-dark .bp3-menu-item.bp3-intent-primary:active .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-primary.bp3-active, .bp3-dark .bp3-menu-item.bp3-intent-primary.bp3-active::before, .bp3-dark .bp3-menu-item.bp3-intent-primary.bp3-active::after,
-  .bp3-dark .bp3-menu-item.bp3-intent-primary.bp3-active .bp3-menu-item-label{
-    color:#ffffff; }
-
-.bp3-dark .bp3-menu-item.bp3-intent-success{
-  color:#3dcc91; }
-  .bp3-dark .bp3-menu-item.bp3-intent-success .bp3-icon{
-    color:inherit; }
-  .bp3-dark .bp3-menu-item.bp3-intent-success::before, .bp3-dark .bp3-menu-item.bp3-intent-success::after,
-  .bp3-dark .bp3-menu-item.bp3-intent-success .bp3-menu-item-label{
+    .bp3-dark .bp3-menu-item.bp3-intent-primary .bp3-icon{
+      color:inherit; }
+    .bp3-dark .bp3-menu-item.bp3-intent-primary::before, .bp3-dark .bp3-menu-item.bp3-intent-primary::after,
+    .bp3-dark .bp3-menu-item.bp3-intent-primary .bp3-menu-item-label{
+      color:#48aff0; }
+    .bp3-dark .bp3-menu-item.bp3-intent-primary:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-primary.bp3-active{
+      background-color:#137cbd; }
+    .bp3-dark .bp3-menu-item.bp3-intent-primary:active{
+      background-color:#106ba3; }
+    .bp3-dark .bp3-menu-item.bp3-intent-primary:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-primary:hover::before, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item::before, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item::before, .bp3-dark .bp3-menu-item.bp3-intent-primary:hover::after, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item::after, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item::after,
+    .bp3-dark .bp3-menu-item.bp3-intent-primary:hover .bp3-menu-item-label,
+    .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item .bp3-menu-item-label,
+    .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-primary:active, .bp3-dark .bp3-menu-item.bp3-intent-primary:active::before, .bp3-dark .bp3-menu-item.bp3-intent-primary:active::after,
+    .bp3-dark .bp3-menu-item.bp3-intent-primary:active .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-primary.bp3-active, .bp3-dark .bp3-menu-item.bp3-intent-primary.bp3-active::before, .bp3-dark .bp3-menu-item.bp3-intent-primary.bp3-active::after,
+    .bp3-dark .bp3-menu-item.bp3-intent-primary.bp3-active .bp3-menu-item-label{
+      color:#ffffff; }
+  .bp3-dark .bp3-menu-item.bp3-intent-success{
     color:#3dcc91; }
-  .bp3-dark .bp3-menu-item.bp3-intent-success:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-success.bp3-active{
-    background-color:#0f9960; }
-  .bp3-dark .bp3-menu-item.bp3-intent-success:active{
-    background-color:#0d8050; }
-  .bp3-dark .bp3-menu-item.bp3-intent-success:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-success:hover::before, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item::before, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item::before, .bp3-dark .bp3-menu-item.bp3-intent-success:hover::after, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item::after, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item::after,
-  .bp3-dark .bp3-menu-item.bp3-intent-success:hover .bp3-menu-item-label,
-  .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item .bp3-menu-item-label,
-  .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-success:active, .bp3-dark .bp3-menu-item.bp3-intent-success:active::before, .bp3-dark .bp3-menu-item.bp3-intent-success:active::after,
-  .bp3-dark .bp3-menu-item.bp3-intent-success:active .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-success.bp3-active, .bp3-dark .bp3-menu-item.bp3-intent-success.bp3-active::before, .bp3-dark .bp3-menu-item.bp3-intent-success.bp3-active::after,
-  .bp3-dark .bp3-menu-item.bp3-intent-success.bp3-active .bp3-menu-item-label{
-    color:#ffffff; }
-
-.bp3-dark .bp3-menu-item.bp3-intent-warning{
-  color:#ffb366; }
-  .bp3-dark .bp3-menu-item.bp3-intent-warning .bp3-icon{
-    color:inherit; }
-  .bp3-dark .bp3-menu-item.bp3-intent-warning::before, .bp3-dark .bp3-menu-item.bp3-intent-warning::after,
-  .bp3-dark .bp3-menu-item.bp3-intent-warning .bp3-menu-item-label{
+    .bp3-dark .bp3-menu-item.bp3-intent-success .bp3-icon{
+      color:inherit; }
+    .bp3-dark .bp3-menu-item.bp3-intent-success::before, .bp3-dark .bp3-menu-item.bp3-intent-success::after,
+    .bp3-dark .bp3-menu-item.bp3-intent-success .bp3-menu-item-label{
+      color:#3dcc91; }
+    .bp3-dark .bp3-menu-item.bp3-intent-success:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-success.bp3-active{
+      background-color:#0f9960; }
+    .bp3-dark .bp3-menu-item.bp3-intent-success:active{
+      background-color:#0d8050; }
+    .bp3-dark .bp3-menu-item.bp3-intent-success:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-success:hover::before, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item::before, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item::before, .bp3-dark .bp3-menu-item.bp3-intent-success:hover::after, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item::after, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item::after,
+    .bp3-dark .bp3-menu-item.bp3-intent-success:hover .bp3-menu-item-label,
+    .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item .bp3-menu-item-label,
+    .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-success:active, .bp3-dark .bp3-menu-item.bp3-intent-success:active::before, .bp3-dark .bp3-menu-item.bp3-intent-success:active::after,
+    .bp3-dark .bp3-menu-item.bp3-intent-success:active .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-success.bp3-active, .bp3-dark .bp3-menu-item.bp3-intent-success.bp3-active::before, .bp3-dark .bp3-menu-item.bp3-intent-success.bp3-active::after,
+    .bp3-dark .bp3-menu-item.bp3-intent-success.bp3-active .bp3-menu-item-label{
+      color:#ffffff; }
+  .bp3-dark .bp3-menu-item.bp3-intent-warning{
     color:#ffb366; }
-  .bp3-dark .bp3-menu-item.bp3-intent-warning:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-warning.bp3-active{
-    background-color:#d9822b; }
-  .bp3-dark .bp3-menu-item.bp3-intent-warning:active{
-    background-color:#bf7326; }
-  .bp3-dark .bp3-menu-item.bp3-intent-warning:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-warning:hover::before, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item::before, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item::before, .bp3-dark .bp3-menu-item.bp3-intent-warning:hover::after, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item::after, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item::after,
-  .bp3-dark .bp3-menu-item.bp3-intent-warning:hover .bp3-menu-item-label,
-  .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item .bp3-menu-item-label,
-  .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-warning:active, .bp3-dark .bp3-menu-item.bp3-intent-warning:active::before, .bp3-dark .bp3-menu-item.bp3-intent-warning:active::after,
-  .bp3-dark .bp3-menu-item.bp3-intent-warning:active .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-warning.bp3-active, .bp3-dark .bp3-menu-item.bp3-intent-warning.bp3-active::before, .bp3-dark .bp3-menu-item.bp3-intent-warning.bp3-active::after,
-  .bp3-dark .bp3-menu-item.bp3-intent-warning.bp3-active .bp3-menu-item-label{
-    color:#ffffff; }
-
-.bp3-dark .bp3-menu-item.bp3-intent-danger{
-  color:#ff7373; }
-  .bp3-dark .bp3-menu-item.bp3-intent-danger .bp3-icon{
-    color:inherit; }
-  .bp3-dark .bp3-menu-item.bp3-intent-danger::before, .bp3-dark .bp3-menu-item.bp3-intent-danger::after,
-  .bp3-dark .bp3-menu-item.bp3-intent-danger .bp3-menu-item-label{
+    .bp3-dark .bp3-menu-item.bp3-intent-warning .bp3-icon{
+      color:inherit; }
+    .bp3-dark .bp3-menu-item.bp3-intent-warning::before, .bp3-dark .bp3-menu-item.bp3-intent-warning::after,
+    .bp3-dark .bp3-menu-item.bp3-intent-warning .bp3-menu-item-label{
+      color:#ffb366; }
+    .bp3-dark .bp3-menu-item.bp3-intent-warning:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-warning.bp3-active{
+      background-color:#d9822b; }
+    .bp3-dark .bp3-menu-item.bp3-intent-warning:active{
+      background-color:#bf7326; }
+    .bp3-dark .bp3-menu-item.bp3-intent-warning:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-warning:hover::before, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item::before, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item::before, .bp3-dark .bp3-menu-item.bp3-intent-warning:hover::after, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item::after, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item::after,
+    .bp3-dark .bp3-menu-item.bp3-intent-warning:hover .bp3-menu-item-label,
+    .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item .bp3-menu-item-label,
+    .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-warning:active, .bp3-dark .bp3-menu-item.bp3-intent-warning:active::before, .bp3-dark .bp3-menu-item.bp3-intent-warning:active::after,
+    .bp3-dark .bp3-menu-item.bp3-intent-warning:active .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-warning.bp3-active, .bp3-dark .bp3-menu-item.bp3-intent-warning.bp3-active::before, .bp3-dark .bp3-menu-item.bp3-intent-warning.bp3-active::after,
+    .bp3-dark .bp3-menu-item.bp3-intent-warning.bp3-active .bp3-menu-item-label{
+      color:#ffffff; }
+  .bp3-dark .bp3-menu-item.bp3-intent-danger{
     color:#ff7373; }
-  .bp3-dark .bp3-menu-item.bp3-intent-danger:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-danger.bp3-active{
-    background-color:#db3737; }
-  .bp3-dark .bp3-menu-item.bp3-intent-danger:active{
-    background-color:#c23030; }
-  .bp3-dark .bp3-menu-item.bp3-intent-danger:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-danger:hover::before, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item::before, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item::before, .bp3-dark .bp3-menu-item.bp3-intent-danger:hover::after, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item::after, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item::after,
-  .bp3-dark .bp3-menu-item.bp3-intent-danger:hover .bp3-menu-item-label,
-  .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item .bp3-menu-item-label,
-  .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-danger:active, .bp3-dark .bp3-menu-item.bp3-intent-danger:active::before, .bp3-dark .bp3-menu-item.bp3-intent-danger:active::after,
-  .bp3-dark .bp3-menu-item.bp3-intent-danger:active .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-danger.bp3-active, .bp3-dark .bp3-menu-item.bp3-intent-danger.bp3-active::before, .bp3-dark .bp3-menu-item.bp3-intent-danger.bp3-active::after,
-  .bp3-dark .bp3-menu-item.bp3-intent-danger.bp3-active .bp3-menu-item-label{
-    color:#ffffff; }
-
-.bp3-dark .bp3-menu-item::before,
-.bp3-dark .bp3-menu-item > .bp3-icon{
-  color:#a7b6c2; }
-
-.bp3-dark .bp3-menu-item .bp3-menu-item-label{
-  color:#a7b6c2; }
-
-.bp3-dark .bp3-menu-item.bp3-active, .bp3-dark .bp3-menu-item:active{
-  background-color:rgba(138, 155, 168, 0.3); }
-
-.bp3-dark .bp3-menu-item.bp3-disabled{
-  color:rgba(167, 182, 194, 0.6) !important; }
-  .bp3-dark .bp3-menu-item.bp3-disabled::before,
-  .bp3-dark .bp3-menu-item.bp3-disabled > .bp3-icon,
-  .bp3-dark .bp3-menu-item.bp3-disabled .bp3-menu-item-label{
+    .bp3-dark .bp3-menu-item.bp3-intent-danger .bp3-icon{
+      color:inherit; }
+    .bp3-dark .bp3-menu-item.bp3-intent-danger::before, .bp3-dark .bp3-menu-item.bp3-intent-danger::after,
+    .bp3-dark .bp3-menu-item.bp3-intent-danger .bp3-menu-item-label{
+      color:#ff7373; }
+    .bp3-dark .bp3-menu-item.bp3-intent-danger:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-danger.bp3-active{
+      background-color:#db3737; }
+    .bp3-dark .bp3-menu-item.bp3-intent-danger:active{
+      background-color:#c23030; }
+    .bp3-dark .bp3-menu-item.bp3-intent-danger:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-danger:hover::before, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item::before, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item::before, .bp3-dark .bp3-menu-item.bp3-intent-danger:hover::after, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item::after, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item::after,
+    .bp3-dark .bp3-menu-item.bp3-intent-danger:hover .bp3-menu-item-label,
+    .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item .bp3-menu-item-label,
+    .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-danger:active, .bp3-dark .bp3-menu-item.bp3-intent-danger:active::before, .bp3-dark .bp3-menu-item.bp3-intent-danger:active::after,
+    .bp3-dark .bp3-menu-item.bp3-intent-danger:active .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-danger.bp3-active, .bp3-dark .bp3-menu-item.bp3-intent-danger.bp3-active::before, .bp3-dark .bp3-menu-item.bp3-intent-danger.bp3-active::after,
+    .bp3-dark .bp3-menu-item.bp3-intent-danger.bp3-active .bp3-menu-item-label{
+      color:#ffffff; }
+  .bp3-dark .bp3-menu-item::before,
+  .bp3-dark .bp3-menu-item > .bp3-icon{
+    color:#a7b6c2; }
+  .bp3-dark .bp3-menu-item .bp3-menu-item-label{
+    color:#a7b6c2; }
+  .bp3-dark .bp3-menu-item.bp3-active, .bp3-dark .bp3-menu-item:active{
+    background-color:rgba(138, 155, 168, 0.3); }
+  .bp3-dark .bp3-menu-item.bp3-disabled{
     color:rgba(167, 182, 194, 0.6) !important; }
+    .bp3-dark .bp3-menu-item.bp3-disabled::before,
+    .bp3-dark .bp3-menu-item.bp3-disabled > .bp3-icon,
+    .bp3-dark .bp3-menu-item.bp3-disabled .bp3-menu-item-label{
+      color:rgba(167, 182, 194, 0.6) !important; }
 
 .bp3-dark .bp3-menu-divider,
 .bp3-dark .bp3-menu-header{
@@ -6621,14 +7016,14 @@ button.bp3-menu-item{
 .bp3-label .bp3-menu{
   margin-top:5px; }
 .bp3-navbar{
-  position:relative;
-  z-index:10;
+  background-color:#ffffff;
   -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.2);
           box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.2);
-  background-color:#ffffff;
-  width:100%;
   height:50px;
-  padding:0 15px; }
+  padding:0 15px;
+  position:relative;
+  width:100%;
+  z-index:10; }
   .bp3-navbar.bp3-dark,
   .bp3-dark .bp3-navbar{
     background-color:#394b59; }
@@ -6639,22 +7034,22 @@ button.bp3-menu-item{
     -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.4);
             box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.4); }
   .bp3-navbar.bp3-fixed-top{
+    left:0;
     position:fixed;
-    top:0;
     right:0;
-    left:0; }
+    top:0; }
 
 .bp3-navbar-heading{
-  margin-right:15px;
-  font-size:16px; }
+  font-size:16px;
+  margin-right:15px; }
 
 .bp3-navbar-group{
-  display:-webkit-box;
-  display:-ms-flexbox;
-  display:flex;
   -webkit-box-align:center;
       -ms-flex-align:center;
           align-items:center;
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
   height:50px; }
   .bp3-navbar-group.bp3-align-left{
     float:left; }
@@ -6662,9 +7057,9 @@ button.bp3-menu-item{
     float:right; }
 
 .bp3-navbar-divider{
-  margin:0 10px;
   border-left:1px solid rgba(16, 22, 26, 0.15);
-  height:20px; }
+  height:20px;
+  margin:0 10px; }
   .bp3-dark .bp3-navbar-divider{
     border-left-color:rgba(255, 255, 255, 0.15); }
 .bp3-non-ideal-state{
@@ -6678,12 +7073,12 @@ button.bp3-menu-item{
   -webkit-box-align:center;
       -ms-flex-align:center;
           align-items:center;
+  height:100%;
   -webkit-box-pack:center;
       -ms-flex-pack:center;
           justify-content:center;
-  width:100%;
-  height:100%;
-  text-align:center; }
+  text-align:center;
+  width:100%; }
   .bp3-non-ideal-state > *{
     -webkit-box-flex:0;
         -ms-flex-positive:0;
@@ -6728,22 +7123,22 @@ body.bp3-overlay-open{
   overflow:hidden; }
 
 .bp3-overlay{
-  position:static;
-  top:0;
-  right:0;
   bottom:0;
   left:0;
+  position:static;
+  right:0;
+  top:0;
   z-index:20; }
   .bp3-overlay:not(.bp3-overlay-open){
     pointer-events:none; }
   .bp3-overlay.bp3-overlay-container{
-    position:fixed;
-    overflow:hidden; }
+    overflow:hidden;
+    position:fixed; }
     .bp3-overlay.bp3-overlay-container.bp3-overlay-inline{
       position:absolute; }
   .bp3-overlay.bp3-overlay-scroll-container{
-    position:fixed;
-    overflow:auto; }
+    overflow:auto;
+    position:fixed; }
     .bp3-overlay.bp3-overlay-scroll-container.bp3-overlay-inline{
       position:absolute; }
   .bp3-overlay.bp3-overlay-inline{
@@ -6758,77 +7153,77 @@ body.bp3-overlay-open{
     position:absolute; }
 
 .bp3-overlay-backdrop{
-  position:fixed;
-  top:0;
-  right:0;
   bottom:0;
   left:0;
+  position:fixed;
+  right:0;
+  top:0;
   opacity:1;
-  z-index:20;
   background-color:rgba(16, 22, 26, 0.7);
   overflow:auto;
   -webkit-user-select:none;
      -moz-user-select:none;
       -ms-user-select:none;
-          user-select:none; }
+          user-select:none;
+  z-index:20; }
   .bp3-overlay-backdrop.bp3-overlay-enter, .bp3-overlay-backdrop.bp3-overlay-appear{
     opacity:0; }
   .bp3-overlay-backdrop.bp3-overlay-enter-active, .bp3-overlay-backdrop.bp3-overlay-appear-active{
     opacity:1;
-    -webkit-transition-property:opacity;
-    transition-property:opacity;
+    -webkit-transition-delay:0;
+            transition-delay:0;
     -webkit-transition-duration:200ms;
             transition-duration:200ms;
+    -webkit-transition-property:opacity;
+    transition-property:opacity;
     -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-    -webkit-transition-delay:0;
-            transition-delay:0; }
+            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
   .bp3-overlay-backdrop.bp3-overlay-exit{
     opacity:1; }
   .bp3-overlay-backdrop.bp3-overlay-exit-active{
     opacity:0;
-    -webkit-transition-property:opacity;
-    transition-property:opacity;
+    -webkit-transition-delay:0;
+            transition-delay:0;
     -webkit-transition-duration:200ms;
             transition-duration:200ms;
+    -webkit-transition-property:opacity;
+    transition-property:opacity;
     -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-    -webkit-transition-delay:0;
-            transition-delay:0; }
+            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
   .bp3-overlay-backdrop:focus{
     outline:none; }
   .bp3-overlay-inline .bp3-overlay-backdrop{
     position:absolute; }
 .bp3-panel-stack{
-  position:relative;
-  overflow:hidden; }
+  overflow:hidden;
+  position:relative; }
 
 .bp3-panel-stack-header{
-  display:-webkit-box;
-  display:-ms-flexbox;
-  display:flex;
-  -ms-flex-negative:0;
-      flex-shrink:0;
   -webkit-box-align:center;
       -ms-flex-align:center;
           align-items:center;
-  z-index:1;
   -webkit-box-shadow:0 1px rgba(16, 22, 26, 0.15);
           box-shadow:0 1px rgba(16, 22, 26, 0.15);
-  height:30px; }
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -ms-flex-negative:0;
+      flex-shrink:0;
+  height:30px;
+  z-index:1; }
   .bp3-dark .bp3-panel-stack-header{
     -webkit-box-shadow:0 1px rgba(255, 255, 255, 0.15);
             box-shadow:0 1px rgba(255, 255, 255, 0.15); }
   .bp3-panel-stack-header > span{
+    -webkit-box-align:stretch;
+        -ms-flex-align:stretch;
+            align-items:stretch;
     display:-webkit-box;
     display:-ms-flexbox;
     display:flex;
     -webkit-box-flex:1;
         -ms-flex:1;
-            flex:1;
-    -webkit-box-align:stretch;
-        -ms-flex-align:stretch;
-            align-items:stretch; }
+            flex:1; }
   .bp3-panel-stack-header .bp3-heading{
     margin:0 5px; }
 
@@ -6840,11 +7235,13 @@ body.bp3-overlay-open{
     margin:0 2px; }
 
 .bp3-panel-stack-view{
-  position:absolute;
-  top:0;
-  right:0;
   bottom:0;
   left:0;
+  position:absolute;
+  right:0;
+  top:0;
+  background-color:#ffffff;
+  border-right:1px solid rgba(16, 22, 26, 0.15);
   display:-webkit-box;
   display:-ms-flexbox;
   display:flex;
@@ -6853,11 +7250,12 @@ body.bp3-overlay-open{
       -ms-flex-direction:column;
           flex-direction:column;
   margin-right:-1px;
-  border-right:1px solid rgba(16, 22, 26, 0.15);
-  background-color:#ffffff;
-  overflow-y:auto; }
+  overflow-y:auto;
+  z-index:1; }
   .bp3-dark .bp3-panel-stack-view{
     background-color:#30404d; }
+  .bp3-panel-stack-view:nth-last-child(n + 4){
+    display:none; }
 
 .bp3-panel-stack-push .bp3-panel-stack-enter, .bp3-panel-stack-push .bp3-panel-stack-appear{
   -webkit-transform:translateX(100%);
@@ -6868,16 +7266,16 @@ body.bp3-overlay-open{
   -webkit-transform:translate(0%);
           transform:translate(0%);
   opacity:1;
+  -webkit-transition-delay:0;
+          transition-delay:0;
+  -webkit-transition-duration:400ms;
+          transition-duration:400ms;
   -webkit-transition-property:opacity, -webkit-transform;
   transition-property:opacity, -webkit-transform;
   transition-property:transform, opacity;
   transition-property:transform, opacity, -webkit-transform;
-  -webkit-transition-duration:400ms;
-          transition-duration:400ms;
   -webkit-transition-timing-function:ease;
-          transition-timing-function:ease;
-  -webkit-transition-delay:0;
-          transition-delay:0; }
+          transition-timing-function:ease; }
 
 .bp3-panel-stack-push .bp3-panel-stack-exit{
   -webkit-transform:translate(0%);
@@ -6888,16 +7286,16 @@ body.bp3-overlay-open{
   -webkit-transform:translateX(-50%);
           transform:translateX(-50%);
   opacity:0;
+  -webkit-transition-delay:0;
+          transition-delay:0;
+  -webkit-transition-duration:400ms;
+          transition-duration:400ms;
   -webkit-transition-property:opacity, -webkit-transform;
   transition-property:opacity, -webkit-transform;
   transition-property:transform, opacity;
   transition-property:transform, opacity, -webkit-transform;
-  -webkit-transition-duration:400ms;
-          transition-duration:400ms;
   -webkit-transition-timing-function:ease;
-          transition-timing-function:ease;
-  -webkit-transition-delay:0;
-          transition-delay:0; }
+          transition-timing-function:ease; }
 
 .bp3-panel-stack-pop .bp3-panel-stack-enter, .bp3-panel-stack-pop .bp3-panel-stack-appear{
   -webkit-transform:translateX(-50%);
@@ -6908,16 +7306,16 @@ body.bp3-overlay-open{
   -webkit-transform:translate(0%);
           transform:translate(0%);
   opacity:1;
+  -webkit-transition-delay:0;
+          transition-delay:0;
+  -webkit-transition-duration:400ms;
+          transition-duration:400ms;
   -webkit-transition-property:opacity, -webkit-transform;
   transition-property:opacity, -webkit-transform;
   transition-property:transform, opacity;
   transition-property:transform, opacity, -webkit-transform;
-  -webkit-transition-duration:400ms;
-          transition-duration:400ms;
   -webkit-transition-timing-function:ease;
-          transition-timing-function:ease;
-  -webkit-transition-delay:0;
-          transition-delay:0; }
+          transition-timing-function:ease; }
 
 .bp3-panel-stack-pop .bp3-panel-stack-exit{
   -webkit-transform:translate(0%);
@@ -6928,35 +7326,177 @@ body.bp3-overlay-open{
   -webkit-transform:translateX(100%);
           transform:translateX(100%);
   opacity:0;
+  -webkit-transition-delay:0;
+          transition-delay:0;
+  -webkit-transition-duration:400ms;
+          transition-duration:400ms;
   -webkit-transition-property:opacity, -webkit-transform;
   transition-property:opacity, -webkit-transform;
   transition-property:transform, opacity;
   transition-property:transform, opacity, -webkit-transform;
+  -webkit-transition-timing-function:ease;
+          transition-timing-function:ease; }
+.bp3-panel-stack2{
+  overflow:hidden;
+  position:relative; }
+
+.bp3-panel-stack2-header{
+  -webkit-box-align:center;
+      -ms-flex-align:center;
+          align-items:center;
+  -webkit-box-shadow:0 1px rgba(16, 22, 26, 0.15);
+          box-shadow:0 1px rgba(16, 22, 26, 0.15);
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -ms-flex-negative:0;
+      flex-shrink:0;
+  height:30px;
+  z-index:1; }
+  .bp3-dark .bp3-panel-stack2-header{
+    -webkit-box-shadow:0 1px rgba(255, 255, 255, 0.15);
+            box-shadow:0 1px rgba(255, 255, 255, 0.15); }
+  .bp3-panel-stack2-header > span{
+    -webkit-box-align:stretch;
+        -ms-flex-align:stretch;
+            align-items:stretch;
+    display:-webkit-box;
+    display:-ms-flexbox;
+    display:flex;
+    -webkit-box-flex:1;
+        -ms-flex:1;
+            flex:1; }
+  .bp3-panel-stack2-header .bp3-heading{
+    margin:0 5px; }
+
+.bp3-button.bp3-panel-stack2-header-back{
+  margin-left:5px;
+  padding-left:0;
+  white-space:nowrap; }
+  .bp3-button.bp3-panel-stack2-header-back .bp3-icon{
+    margin:0 2px; }
+
+.bp3-panel-stack2-view{
+  bottom:0;
+  left:0;
+  position:absolute;
+  right:0;
+  top:0;
+  background-color:#ffffff;
+  border-right:1px solid rgba(16, 22, 26, 0.15);
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -webkit-box-orient:vertical;
+  -webkit-box-direction:normal;
+      -ms-flex-direction:column;
+          flex-direction:column;
+  margin-right:-1px;
+  overflow-y:auto;
+  z-index:1; }
+  .bp3-dark .bp3-panel-stack2-view{
+    background-color:#30404d; }
+  .bp3-panel-stack2-view:nth-last-child(n + 4){
+    display:none; }
+
+.bp3-panel-stack2-push .bp3-panel-stack2-enter, .bp3-panel-stack2-push .bp3-panel-stack2-appear{
+  -webkit-transform:translateX(100%);
+          transform:translateX(100%);
+  opacity:0; }
+
+.bp3-panel-stack2-push .bp3-panel-stack2-enter-active, .bp3-panel-stack2-push .bp3-panel-stack2-appear-active{
+  -webkit-transform:translate(0%);
+          transform:translate(0%);
+  opacity:1;
+  -webkit-transition-delay:0;
+          transition-delay:0;
   -webkit-transition-duration:400ms;
           transition-duration:400ms;
+  -webkit-transition-property:opacity, -webkit-transform;
+  transition-property:opacity, -webkit-transform;
+  transition-property:transform, opacity;
+  transition-property:transform, opacity, -webkit-transform;
   -webkit-transition-timing-function:ease;
-          transition-timing-function:ease;
+          transition-timing-function:ease; }
+
+.bp3-panel-stack2-push .bp3-panel-stack2-exit{
+  -webkit-transform:translate(0%);
+          transform:translate(0%);
+  opacity:1; }
+
+.bp3-panel-stack2-push .bp3-panel-stack2-exit-active{
+  -webkit-transform:translateX(-50%);
+          transform:translateX(-50%);
+  opacity:0;
   -webkit-transition-delay:0;
-          transition-delay:0; }
+          transition-delay:0;
+  -webkit-transition-duration:400ms;
+          transition-duration:400ms;
+  -webkit-transition-property:opacity, -webkit-transform;
+  transition-property:opacity, -webkit-transform;
+  transition-property:transform, opacity;
+  transition-property:transform, opacity, -webkit-transform;
+  -webkit-transition-timing-function:ease;
+          transition-timing-function:ease; }
+
+.bp3-panel-stack2-pop .bp3-panel-stack2-enter, .bp3-panel-stack2-pop .bp3-panel-stack2-appear{
+  -webkit-transform:translateX(-50%);
+          transform:translateX(-50%);
+  opacity:0; }
+
+.bp3-panel-stack2-pop .bp3-panel-stack2-enter-active, .bp3-panel-stack2-pop .bp3-panel-stack2-appear-active{
+  -webkit-transform:translate(0%);
+          transform:translate(0%);
+  opacity:1;
+  -webkit-transition-delay:0;
+          transition-delay:0;
+  -webkit-transition-duration:400ms;
+          transition-duration:400ms;
+  -webkit-transition-property:opacity, -webkit-transform;
+  transition-property:opacity, -webkit-transform;
+  transition-property:transform, opacity;
+  transition-property:transform, opacity, -webkit-transform;
+  -webkit-transition-timing-function:ease;
+          transition-timing-function:ease; }
+
+.bp3-panel-stack2-pop .bp3-panel-stack2-exit{
+  -webkit-transform:translate(0%);
+          transform:translate(0%);
+  opacity:1; }
+
+.bp3-panel-stack2-pop .bp3-panel-stack2-exit-active{
+  -webkit-transform:translateX(100%);
+          transform:translateX(100%);
+  opacity:0;
+  -webkit-transition-delay:0;
+          transition-delay:0;
+  -webkit-transition-duration:400ms;
+          transition-duration:400ms;
+  -webkit-transition-property:opacity, -webkit-transform;
+  transition-property:opacity, -webkit-transform;
+  transition-property:transform, opacity;
+  transition-property:transform, opacity, -webkit-transform;
+  -webkit-transition-timing-function:ease;
+          transition-timing-function:ease; }
 .bp3-popover{
   -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);
           box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);
   -webkit-transform:scale(1);
           transform:scale(1);
+  border-radius:3px;
   display:inline-block;
-  z-index:20;
-  border-radius:3px; }
+  z-index:20; }
   .bp3-popover .bp3-popover-arrow{
+    height:30px;
     position:absolute;
-    width:30px;
-    height:30px; }
+    width:30px; }
     .bp3-popover .bp3-popover-arrow::before{
+      height:20px;
       margin:5px;
-      width:20px;
-      height:20px; }
+      width:20px; }
   .bp3-tether-element-attached-bottom.bp3-tether-target-attached-top > .bp3-popover{
-    margin-top:-17px;
-    margin-bottom:17px; }
+    margin-bottom:17px;
+    margin-top:-17px; }
     .bp3-tether-element-attached-bottom.bp3-tether-target-attached-top > .bp3-popover > .bp3-popover-arrow{
       bottom:-11px; }
       .bp3-tether-element-attached-bottom.bp3-tether-target-attached-top > .bp3-popover > .bp3-popover-arrow svg{
@@ -6977,8 +7517,8 @@ body.bp3-overlay-open{
         -webkit-transform:rotate(90deg);
                 transform:rotate(90deg); }
   .bp3-tether-element-attached-right.bp3-tether-target-attached-left > .bp3-popover{
-    margin-right:17px;
-    margin-left:-17px; }
+    margin-left:-17px;
+    margin-right:17px; }
     .bp3-tether-element-attached-right.bp3-tether-target-attached-left > .bp3-popover > .bp3-popover-arrow{
       right:-11px; }
       .bp3-tether-element-attached-right.bp3-tether-target-attached-left > .bp3-popover > .bp3-popover-arrow svg{
@@ -7044,35 +7584,35 @@ body.bp3-overlay-open{
   .bp3-popover-enter-active > .bp3-popover, .bp3-popover-appear-active > .bp3-popover{
     -webkit-transform:scale(1);
             transform:scale(1);
+    -webkit-transition-delay:0;
+            transition-delay:0;
+    -webkit-transition-duration:300ms;
+            transition-duration:300ms;
     -webkit-transition-property:-webkit-transform;
     transition-property:-webkit-transform;
     transition-property:transform;
     transition-property:transform, -webkit-transform;
-    -webkit-transition-duration:300ms;
-            transition-duration:300ms;
     -webkit-transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);
-            transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);
-    -webkit-transition-delay:0;
-            transition-delay:0; }
+            transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11); }
   .bp3-popover-exit > .bp3-popover{
     -webkit-transform:scale(1);
             transform:scale(1); }
   .bp3-popover-exit-active > .bp3-popover{
     -webkit-transform:scale(0.3);
             transform:scale(0.3);
+    -webkit-transition-delay:0;
+            transition-delay:0;
+    -webkit-transition-duration:300ms;
+            transition-duration:300ms;
     -webkit-transition-property:-webkit-transform;
     transition-property:-webkit-transform;
     transition-property:transform;
     transition-property:transform, -webkit-transform;
-    -webkit-transition-duration:300ms;
-            transition-duration:300ms;
     -webkit-transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);
-            transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);
-    -webkit-transition-delay:0;
-            transition-delay:0; }
+            transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11); }
   .bp3-popover .bp3-popover-content{
-    position:relative;
-    border-radius:3px; }
+    border-radius:3px;
+    position:relative; }
   .bp3-popover.bp3-popover-content-sizing .bp3-popover-content{
     max-width:350px;
     padding:20px; }
@@ -7091,32 +7631,32 @@ body.bp3-overlay-open{
       .bp3-popover-enter-active > .bp3-popover.bp3-minimal.bp3-popover, .bp3-popover-appear-active > .bp3-popover.bp3-minimal.bp3-popover{
         -webkit-transform:scale(1);
                 transform:scale(1);
+        -webkit-transition-delay:0;
+                transition-delay:0;
+        -webkit-transition-duration:100ms;
+                transition-duration:100ms;
         -webkit-transition-property:-webkit-transform;
         transition-property:-webkit-transform;
         transition-property:transform;
         transition-property:transform, -webkit-transform;
-        -webkit-transition-duration:100ms;
-                transition-duration:100ms;
         -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-                transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-        -webkit-transition-delay:0;
-                transition-delay:0; }
+                transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
       .bp3-popover-exit > .bp3-popover.bp3-minimal.bp3-popover{
         -webkit-transform:scale(1);
                 transform:scale(1); }
       .bp3-popover-exit-active > .bp3-popover.bp3-minimal.bp3-popover{
         -webkit-transform:scale(1);
                 transform:scale(1);
+        -webkit-transition-delay:0;
+                transition-delay:0;
+        -webkit-transition-duration:100ms;
+                transition-duration:100ms;
         -webkit-transition-property:-webkit-transform;
         transition-property:-webkit-transform;
         transition-property:transform;
         transition-property:transform, -webkit-transform;
-        -webkit-transition-duration:100ms;
-                transition-duration:100ms;
         -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-                transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-        -webkit-transition-delay:0;
-                transition-delay:0; }
+                transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
   .bp3-popover.bp3-dark,
   .bp3-dark .bp3-popover{
     -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4);
@@ -7138,12 +7678,12 @@ body.bp3-overlay-open{
       fill:#30404d; }
 
 .bp3-popover-arrow::before{
+  border-radius:2px;
+  content:"";
   display:block;
   position:absolute;
   -webkit-transform:rotate(45deg);
-          transform:rotate(45deg);
-  border-radius:2px;
-  content:""; }
+          transform:rotate(45deg); }
 
 .bp3-tether-pinned .bp3-popover-arrow{
   display:none; }
@@ -7161,26 +7701,26 @@ body.bp3-overlay-open{
     opacity:0; }
   .bp3-transition-container.bp3-popover-enter-active, .bp3-transition-container.bp3-popover-appear-active{
     opacity:1;
-    -webkit-transition-property:opacity;
-    transition-property:opacity;
+    -webkit-transition-delay:0;
+            transition-delay:0;
     -webkit-transition-duration:100ms;
             transition-duration:100ms;
+    -webkit-transition-property:opacity;
+    transition-property:opacity;
     -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-    -webkit-transition-delay:0;
-            transition-delay:0; }
+            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
   .bp3-transition-container.bp3-popover-exit{
     opacity:1; }
   .bp3-transition-container.bp3-popover-exit-active{
     opacity:0;
-    -webkit-transition-property:opacity;
-    transition-property:opacity;
+    -webkit-transition-delay:0;
+            transition-delay:0;
     -webkit-transition-duration:100ms;
             transition-duration:100ms;
+    -webkit-transition-property:opacity;
+    transition-property:opacity;
     -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-    -webkit-transition-delay:0;
-            transition-delay:0; }
+            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
   .bp3-transition-container:focus{
     outline:none; }
   .bp3-transition-container.bp3-popover-leave .bp3-popover-content{
@@ -7195,10 +7735,10 @@ span.bp3-popover-target{
   width:100%; }
 
 .bp3-portal{
+  left:0;
   position:absolute;
-  top:0;
   right:0;
-  left:0; }
+  top:0; }
 @-webkit-keyframes linear-progress-bar-stripes{
   from{
     background-position:0 0; }
@@ -7211,23 +7751,23 @@ span.bp3-popover-target{
     background-position:30px 0; } }
 
 .bp3-progress-bar{
-  display:block;
-  position:relative;
-  border-radius:40px;
   background:rgba(92, 112, 128, 0.2);
-  width:100%;
+  border-radius:40px;
+  display:block;
   height:8px;
-  overflow:hidden; }
+  overflow:hidden;
+  position:relative;
+  width:100%; }
   .bp3-progress-bar .bp3-progress-meter{
-    position:absolute;
-    border-radius:40px;
     background:linear-gradient(-45deg, rgba(255, 255, 255, 0.2) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.2) 50%, rgba(255, 255, 255, 0.2) 75%, transparent 75%);
     background-color:rgba(92, 112, 128, 0.8);
     background-size:30px 30px;
-    width:100%;
+    border-radius:40px;
     height:100%;
+    position:absolute;
     -webkit-transition:width 200ms cubic-bezier(0.4, 1, 0.75, 0.9);
-    transition:width 200ms cubic-bezier(0.4, 1, 0.75, 0.9); }
+    transition:width 200ms cubic-bezier(0.4, 1, 0.75, 0.9);
+    width:100%; }
   .bp3-progress-bar:not(.bp3-no-animation):not(.bp3-no-stripes) .bp3-progress-meter{
     animation:linear-progress-bar-stripes 300ms linear infinite reverse; }
   .bp3-progress-bar.bp3-no-stripes .bp3-progress-meter{
@@ -7251,29 +7791,29 @@ span.bp3-popover-target{
   background-color:#db3737; }
 @-webkit-keyframes skeleton-glow{
   from{
-    border-color:rgba(206, 217, 224, 0.2);
-    background:rgba(206, 217, 224, 0.2); }
+    background:rgba(206, 217, 224, 0.2);
+    border-color:rgba(206, 217, 224, 0.2); }
   to{
-    border-color:rgba(92, 112, 128, 0.2);
-    background:rgba(92, 112, 128, 0.2); } }
+    background:rgba(92, 112, 128, 0.2);
+    border-color:rgba(92, 112, 128, 0.2); } }
 @keyframes skeleton-glow{
   from{
-    border-color:rgba(206, 217, 224, 0.2);
-    background:rgba(206, 217, 224, 0.2); }
+    background:rgba(206, 217, 224, 0.2);
+    border-color:rgba(206, 217, 224, 0.2); }
   to{
-    border-color:rgba(92, 112, 128, 0.2);
-    background:rgba(92, 112, 128, 0.2); } }
+    background:rgba(92, 112, 128, 0.2);
+    border-color:rgba(92, 112, 128, 0.2); } }
 .bp3-skeleton{
+  -webkit-animation:1000ms linear infinite alternate skeleton-glow;
+          animation:1000ms linear infinite alternate skeleton-glow;
+  background:rgba(206, 217, 224, 0.2);
+  background-clip:padding-box !important;
   border-color:rgba(206, 217, 224, 0.2) !important;
   border-radius:2px;
   -webkit-box-shadow:none !important;
           box-shadow:none !important;
-  background:rgba(206, 217, 224, 0.2);
-  background-clip:padding-box !important;
-  cursor:default;
   color:transparent !important;
-  -webkit-animation:1000ms linear infinite alternate skeleton-glow;
-          animation:1000ms linear infinite alternate skeleton-glow;
+  cursor:default;
   pointer-events:none;
   -webkit-user-select:none;
      -moz-user-select:none;
@@ -7283,12 +7823,12 @@ span.bp3-popover-target{
   .bp3-skeleton *{
     visibility:hidden !important; }
 .bp3-slider{
-  width:100%;
-  min-width:150px;
   height:40px;
-  position:relative;
-  outline:none;
+  min-width:150px;
+  width:100%;
   cursor:default;
+  outline:none;
+  position:relative;
   -webkit-user-select:none;
      -moz-user-select:none;
       -ms-user-select:none;
@@ -7299,17 +7839,17 @@ span.bp3-popover-target{
     cursor:-webkit-grabbing;
     cursor:grabbing; }
   .bp3-slider.bp3-disabled{
-    opacity:0.5;
-    cursor:not-allowed; }
+    cursor:not-allowed;
+    opacity:0.5; }
   .bp3-slider.bp3-slider-unlabeled{
     height:16px; }
 
 .bp3-slider-track,
 .bp3-slider-progress{
-  top:5px;
-  right:0;
-  left:0;
   height:6px;
+  left:0;
+  right:0;
+  top:5px;
   position:absolute; }
 
 .bp3-slider-track{
@@ -7330,90 +7870,90 @@ span.bp3-popover-target{
     background-color:#db3737; }
 
 .bp3-slider-handle{
-  -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
-          box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
   background-color:#f5f8fa;
   background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.8)), to(rgba(255, 255, 255, 0)));
   background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.8), rgba(255, 255, 255, 0));
+  -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+          box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
   color:#182026;
-  position:absolute;
-  top:0;
-  left:0;
   border-radius:3px;
   -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 1px 1px rgba(16, 22, 26, 0.2);
           box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 1px 1px rgba(16, 22, 26, 0.2);
   cursor:pointer;
-  width:16px;
-  height:16px; }
+  height:16px;
+  left:0;
+  position:absolute;
+  top:0;
+  width:16px; }
   .bp3-slider-handle:hover{
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
     background-clip:padding-box;
-    background-color:#ebf1f5; }
+    background-color:#ebf1f5;
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1); }
   .bp3-slider-handle:active, .bp3-slider-handle.bp3-active{
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
     background-color:#d8e1e8;
-    background-image:none; }
+    background-image:none;
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
   .bp3-slider-handle:disabled, .bp3-slider-handle.bp3-disabled{
-    outline:none;
-    -webkit-box-shadow:none;
-            box-shadow:none;
     background-color:rgba(206, 217, 224, 0.5);
     background-image:none;
+    -webkit-box-shadow:none;
+            box-shadow:none;
+    color:rgba(92, 112, 128, 0.6);
     cursor:not-allowed;
-    color:rgba(92, 112, 128, 0.6); }
+    outline:none; }
     .bp3-slider-handle:disabled.bp3-active, .bp3-slider-handle:disabled.bp3-active:hover, .bp3-slider-handle.bp3-disabled.bp3-active, .bp3-slider-handle.bp3-disabled.bp3-active:hover{
       background:rgba(206, 217, 224, 0.7); }
   .bp3-slider-handle:focus{
     z-index:1; }
   .bp3-slider-handle:hover{
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
     background-clip:padding-box;
     background-color:#ebf1f5;
-    z-index:2;
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
     -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 1px 1px rgba(16, 22, 26, 0.2);
             box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 1px 1px rgba(16, 22, 26, 0.2);
     cursor:-webkit-grab;
-    cursor:grab; }
+    cursor:grab;
+    z-index:2; }
   .bp3-slider-handle.bp3-active{
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
     background-color:#d8e1e8;
     background-image:none;
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
     -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 1px rgba(16, 22, 26, 0.1);
             box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 1px rgba(16, 22, 26, 0.1);
     cursor:-webkit-grabbing;
     cursor:grabbing; }
   .bp3-disabled .bp3-slider-handle{
+    background:#bfccd6;
     -webkit-box-shadow:none;
             box-shadow:none;
-    background:#bfccd6;
     pointer-events:none; }
   .bp3-dark .bp3-slider-handle{
-    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
     background-color:#394b59;
     background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.05)), to(rgba(255, 255, 255, 0)));
     background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.05), rgba(255, 255, 255, 0));
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
     color:#f5f8fa; }
     .bp3-dark .bp3-slider-handle:hover, .bp3-dark .bp3-slider-handle:active, .bp3-dark .bp3-slider-handle.bp3-active{
       color:#f5f8fa; }
     .bp3-dark .bp3-slider-handle:hover{
+      background-color:#30404d;
       -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-      background-color:#30404d; }
+              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
     .bp3-dark .bp3-slider-handle:active, .bp3-dark .bp3-slider-handle.bp3-active{
-      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
       background-color:#202b33;
-      background-image:none; }
+      background-image:none;
+      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
     .bp3-dark .bp3-slider-handle:disabled, .bp3-dark .bp3-slider-handle.bp3-disabled{
-      -webkit-box-shadow:none;
-              box-shadow:none;
       background-color:rgba(57, 75, 89, 0.5);
       background-image:none;
+      -webkit-box-shadow:none;
+              box-shadow:none;
       color:rgba(167, 182, 194, 0.6); }
       .bp3-dark .bp3-slider-handle:disabled.bp3-active, .bp3-dark .bp3-slider-handle.bp3-disabled.bp3-active{
         background:rgba(57, 75, 89, 0.7); }
@@ -7425,21 +7965,21 @@ span.bp3-popover-target{
     .bp3-dark .bp3-slider-handle.bp3-active{
       background-color:#293742; }
   .bp3-dark .bp3-disabled .bp3-slider-handle{
+    background:#5c7080;
     border-color:#5c7080;
     -webkit-box-shadow:none;
-            box-shadow:none;
-    background:#5c7080; }
+            box-shadow:none; }
   .bp3-slider-handle .bp3-slider-label{
-    margin-left:8px;
+    background:#394b59;
     border-radius:3px;
     -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);
             box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);
-    background:#394b59;
-    color:#f5f8fa; }
+    color:#f5f8fa;
+    margin-left:8px; }
     .bp3-dark .bp3-slider-handle .bp3-slider-label{
+      background:#e1e8ed;
       -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4);
               box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4);
-      background:#e1e8ed;
       color:#394b59; }
     .bp3-disabled .bp3-slider-handle .bp3-slider-label{
       -webkit-box-shadow:none;
@@ -7447,12 +7987,12 @@ span.bp3-popover-target{
   .bp3-slider-handle.bp3-start, .bp3-slider-handle.bp3-end{
     width:8px; }
   .bp3-slider-handle.bp3-start{
-    border-top-right-radius:0;
-    border-bottom-right-radius:0; }
+    border-bottom-right-radius:0;
+    border-top-right-radius:0; }
   .bp3-slider-handle.bp3-end{
-    margin-left:8px;
+    border-bottom-left-radius:0;
     border-top-left-radius:0;
-    border-bottom-left-radius:0; }
+    margin-left:8px; }
     .bp3-slider-handle.bp3-end .bp3-slider-label{
       margin-left:0; }
 
@@ -7460,23 +8000,23 @@ span.bp3-popover-target{
   -webkit-transform:translate(-50%, 20px);
           transform:translate(-50%, 20px);
   display:inline-block;
-  position:absolute;
-  padding:2px 5px;
-  vertical-align:top;
+  font-size:12px;
   line-height:1;
-  font-size:12px; }
+  padding:2px 5px;
+  position:absolute;
+  vertical-align:top; }
 
 .bp3-slider.bp3-vertical{
-  width:40px;
+  height:150px;
   min-width:40px;
-  height:150px; }
+  width:40px; }
   .bp3-slider.bp3-vertical .bp3-slider-track,
   .bp3-slider.bp3-vertical .bp3-slider-progress{
-    top:0;
     bottom:0;
+    height:auto;
     left:5px;
-    width:6px;
-    height:auto; }
+    top:0;
+    width:6px; }
   .bp3-slider.bp3-vertical .bp3-slider-progress{
     top:auto; }
   .bp3-slider.bp3-vertical .bp3-slider-label{
@@ -7485,23 +8025,23 @@ span.bp3-popover-target{
   .bp3-slider.bp3-vertical .bp3-slider-handle{
     top:auto; }
     .bp3-slider.bp3-vertical .bp3-slider-handle .bp3-slider-label{
-      margin-top:-8px;
-      margin-left:0; }
+      margin-left:0;
+      margin-top:-8px; }
     .bp3-slider.bp3-vertical .bp3-slider-handle.bp3-end, .bp3-slider.bp3-vertical .bp3-slider-handle.bp3-start{
+      height:8px;
       margin-left:0;
-      width:16px;
-      height:8px; }
+      width:16px; }
     .bp3-slider.bp3-vertical .bp3-slider-handle.bp3-start{
-      border-top-left-radius:0;
-      border-bottom-right-radius:3px; }
+      border-bottom-right-radius:3px;
+      border-top-left-radius:0; }
       .bp3-slider.bp3-vertical .bp3-slider-handle.bp3-start .bp3-slider-label{
         -webkit-transform:translate(20px);
                 transform:translate(20px); }
     .bp3-slider.bp3-vertical .bp3-slider-handle.bp3-end{
-      margin-bottom:8px;
-      border-top-left-radius:3px;
       border-bottom-left-radius:0;
-      border-bottom-right-radius:0; }
+      border-bottom-right-radius:0;
+      border-top-left-radius:3px;
+      margin-bottom:8px; }
 
 @-webkit-keyframes pt-spinner-animation{
   from{
@@ -7520,12 +8060,12 @@ span.bp3-popover-target{
             transform:rotate(360deg); } }
 
 .bp3-spinner{
-  display:-webkit-box;
-  display:-ms-flexbox;
-  display:flex;
   -webkit-box-align:center;
       -ms-flex-align:center;
           align-items:center;
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
   -webkit-box-pack:center;
       -ms-flex-pack:center;
           justify-content:center;
@@ -7536,12 +8076,12 @@ span.bp3-popover-target{
   .bp3-spinner path{
     fill-opacity:0; }
   .bp3-spinner .bp3-spinner-head{
+    stroke:rgba(92, 112, 128, 0.8);
+    stroke-linecap:round;
     -webkit-transform-origin:center;
             transform-origin:center;
     -webkit-transition:stroke-dashoffset 200ms cubic-bezier(0.4, 1, 0.75, 0.9);
-    transition:stroke-dashoffset 200ms cubic-bezier(0.4, 1, 0.75, 0.9);
-    stroke:rgba(92, 112, 128, 0.8);
-    stroke-linecap:round; }
+    transition:stroke-dashoffset 200ms cubic-bezier(0.4, 1, 0.75, 0.9); }
   .bp3-spinner .bp3-spinner-track{
     stroke:rgba(92, 112, 128, 0.2); }
 
@@ -7574,48 +8114,48 @@ span.bp3-popover-target{
   display:-ms-flexbox;
   display:flex; }
   .bp3-tabs.bp3-vertical > .bp3-tab-list{
+    -webkit-box-align:start;
+        -ms-flex-align:start;
+            align-items:flex-start;
     -webkit-box-orient:vertical;
     -webkit-box-direction:normal;
         -ms-flex-direction:column;
-            flex-direction:column;
-    -webkit-box-align:start;
-        -ms-flex-align:start;
-            align-items:flex-start; }
+            flex-direction:column; }
     .bp3-tabs.bp3-vertical > .bp3-tab-list .bp3-tab{
       border-radius:3px;
-      width:100%;
-      padding:0 10px; }
+      padding:0 10px;
+      width:100%; }
       .bp3-tabs.bp3-vertical > .bp3-tab-list .bp3-tab[aria-selected="true"]{
+        background-color:rgba(19, 124, 189, 0.2);
         -webkit-box-shadow:none;
-                box-shadow:none;
-        background-color:rgba(19, 124, 189, 0.2); }
+                box-shadow:none; }
     .bp3-tabs.bp3-vertical > .bp3-tab-list .bp3-tab-indicator-wrapper .bp3-tab-indicator{
-      top:0;
-      right:0;
+      background-color:rgba(19, 124, 189, 0.2);
+      border-radius:3px;
       bottom:0;
+      height:auto;
       left:0;
-      border-radius:3px;
-      background-color:rgba(19, 124, 189, 0.2);
-      height:auto; }
+      right:0;
+      top:0; }
   .bp3-tabs.bp3-vertical > .bp3-tab-panel{
     margin-top:0;
     padding-left:20px; }
 
 .bp3-tab-list{
+  -webkit-box-align:end;
+      -ms-flex-align:end;
+          align-items:flex-end;
+  border:none;
   display:-webkit-box;
   display:-ms-flexbox;
   display:flex;
   -webkit-box-flex:0;
       -ms-flex:0 0 auto;
           flex:0 0 auto;
-  -webkit-box-align:end;
-      -ms-flex-align:end;
-          align-items:flex-end;
-  position:relative;
+  list-style:none;
   margin:0;
-  border:none;
   padding:0;
-  list-style:none; }
+  position:relative; }
   .bp3-tab-list > *:not(:last-child){
     margin-right:20px; }
 
@@ -7624,27 +8164,27 @@ span.bp3-popover-target{
   text-overflow:ellipsis;
   white-space:nowrap;
   word-wrap:normal;
+  color:#182026;
+  cursor:pointer;
   -webkit-box-flex:0;
       -ms-flex:0 0 auto;
           flex:0 0 auto;
-  position:relative;
-  cursor:pointer;
-  max-width:100%;
-  vertical-align:top;
+  font-size:14px;
   line-height:30px;
-  color:#182026;
-  font-size:14px; }
+  max-width:100%;
+  position:relative;
+  vertical-align:top; }
   .bp3-tab a{
+    color:inherit;
     display:block;
-    text-decoration:none;
-    color:inherit; }
+    text-decoration:none; }
   .bp3-tab-indicator-wrapper ~ .bp3-tab{
+    background-color:transparent !important;
     -webkit-box-shadow:none !important;
-            box-shadow:none !important;
-    background-color:transparent !important; }
+            box-shadow:none !important; }
   .bp3-tab[aria-disabled="true"]{
-    cursor:not-allowed;
-    color:rgba(92, 112, 128, 0.6); }
+    color:rgba(92, 112, 128, 0.6);
+    cursor:not-allowed; }
   .bp3-tab[aria-selected="true"]{
     border-radius:0;
     -webkit-box-shadow:inset 0 -3px 0 #106ba3;
@@ -7654,8 +8194,8 @@ span.bp3-popover-target{
   .bp3-tab:focus{
     -moz-outline-radius:0; }
   .bp3-large > .bp3-tab{
-    line-height:40px;
-    font-size:16px; }
+    font-size:16px;
+    line-height:40px; }
 
 .bp3-tab-panel{
   margin-top:20px; }
@@ -7663,9 +8203,10 @@ span.bp3-popover-target{
     display:none; }
 
 .bp3-tab-indicator-wrapper{
+  left:0;
+  pointer-events:none;
   position:absolute;
   top:0;
-  left:0;
   -webkit-transform:translateX(0), translateY(0);
           transform:translateX(0), translateY(0);
   -webkit-transition:height, width, -webkit-transform;
@@ -7675,15 +8216,14 @@ span.bp3-popover-target{
   -webkit-transition-duration:200ms;
           transition-duration:200ms;
   -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-          transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-  pointer-events:none; }
+          transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
   .bp3-tab-indicator-wrapper .bp3-tab-indicator{
-    position:absolute;
-    right:0;
+    background-color:#106ba3;
     bottom:0;
+    height:3px;
     left:0;
-    background-color:#106ba3;
-    height:3px; }
+    position:absolute;
+    right:0; }
   .bp3-tab-indicator-wrapper.bp3-no-animation{
     -webkit-transition:none;
     transition:none; }
@@ -7716,19 +8256,19 @@ span.bp3-popover-target{
   -webkit-box-align:center;
       -ms-flex-align:center;
           align-items:center;
-  position:relative;
+  background-color:#5c7080;
   border:none;
   border-radius:3px;
   -webkit-box-shadow:none;
           box-shadow:none;
-  background-color:#5c7080;
-  min-width:20px;
+  color:#f5f8fa;
+  font-size:12px;
+  line-height:16px;
   max-width:100%;
   min-height:20px;
+  min-width:20px;
   padding:2px 6px;
-  line-height:16px;
-  color:#f5f8fa;
-  font-size:12px; }
+  position:relative; }
   .bp3-tag.bp3-interactive{
     cursor:pointer; }
     .bp3-tag.bp3-interactive:hover{
@@ -7759,8 +8299,8 @@ span.bp3-popover-target{
     -moz-outline-radius:6px; }
   .bp3-tag.bp3-round{
     border-radius:30px;
-    padding-right:8px;
-    padding-left:8px; }
+    padding-left:8px;
+    padding-right:8px; }
   .bp3-dark .bp3-tag{
     background-color:#bfccd6;
     color:#182026; }
@@ -7776,11 +8316,11 @@ span.bp3-popover-target{
     fill:#ffffff; }
   .bp3-tag.bp3-large,
   .bp3-large .bp3-tag{
-    min-width:30px;
-    min-height:30px;
-    padding:0 10px;
+    font-size:14px;
     line-height:20px;
-    font-size:14px; }
+    min-height:30px;
+    min-width:30px;
+    padding:5px 10px; }
     .bp3-tag.bp3-large::before,
     .bp3-tag.bp3-large > *,
     .bp3-large .bp3-tag::before,
@@ -7793,8 +8333,8 @@ span.bp3-popover-target{
       margin-right:0; }
     .bp3-tag.bp3-large.bp3-round,
     .bp3-large .bp3-tag.bp3-round{
-      padding-right:12px;
-      padding-left:12px; }
+      padding-left:12px;
+      padding-right:12px; }
   .bp3-tag.bp3-intent-primary{
     background:#137cbd;
     color:#ffffff; }
@@ -7939,44 +8479,43 @@ span.bp3-popover-target{
           background-color:rgba(219, 55, 55, 0.45); }
 
 .bp3-tag-remove{
+  background:none;
+  border:none;
+  color:inherit;
+  cursor:pointer;
   display:-webkit-box;
   display:-ms-flexbox;
   display:flex;
-  opacity:0.5;
-  margin-top:-2px;
-  margin-right:-6px !important;
   margin-bottom:-2px;
-  border:none;
-  background:none;
-  cursor:pointer;
+  margin-right:-6px !important;
+  margin-top:-2px;
+  opacity:0.5;
   padding:2px;
-  padding-left:0;
-  color:inherit; }
+  padding-left:0; }
   .bp3-tag-remove:hover{
-    opacity:0.8;
     background:none;
+    opacity:0.8;
     text-decoration:none; }
   .bp3-tag-remove:active{
     opacity:1; }
   .bp3-tag-remove:empty::before{
-    line-height:1;
     font-family:"Icons16", sans-serif;
     font-size:16px;
-    font-weight:400;
     font-style:normal;
+    font-weight:400;
+    line-height:1;
     -moz-osx-font-smoothing:grayscale;
     -webkit-font-smoothing:antialiased;
     content:""; }
   .bp3-large .bp3-tag-remove{
     margin-right:-10px !important;
-    padding:5px;
-    padding-left:0; }
+    padding:0 5px 0 0; }
     .bp3-large .bp3-tag-remove:empty::before{
-      line-height:1;
       font-family:"Icons20", sans-serif;
       font-size:20px;
+      font-style:normal;
       font-weight:400;
-      font-style:normal; }
+      line-height:1; }
 .bp3-tag-input{
   display:-webkit-box;
   display:-ms-flexbox;
@@ -7990,10 +8529,10 @@ span.bp3-popover-target{
           align-items:flex-start;
   cursor:text;
   height:auto;
+  line-height:inherit;
   min-height:30px;
-  padding-right:0;
   padding-left:5px;
-  line-height:inherit; }
+  padding-right:0; }
   .bp3-tag-input > *{
     -webkit-box-flex:0;
         -ms-flex-positive:0;
@@ -8007,10 +8546,10 @@ span.bp3-popover-target{
     -ms-flex-negative:1;
         flex-shrink:1; }
   .bp3-tag-input .bp3-tag-input-icon{
-    margin-top:7px;
-    margin-right:7px;
+    color:#5c7080;
     margin-left:2px;
-    color:#5c7080; }
+    margin-right:7px;
+    margin-top:7px; }
   .bp3-tag-input .bp3-tag-input-values{
     display:-webkit-box;
     display:-ms-flexbox;
@@ -8019,15 +8558,15 @@ span.bp3-popover-target{
     -webkit-box-direction:normal;
         -ms-flex-direction:row;
             flex-direction:row;
-    -ms-flex-wrap:wrap;
-        flex-wrap:wrap;
     -webkit-box-align:center;
         -ms-flex-align:center;
             align-items:center;
     -ms-flex-item-align:stretch;
         align-self:stretch;
-    margin-top:5px;
+    -ms-flex-wrap:wrap;
+        flex-wrap:wrap;
     margin-right:7px;
+    margin-top:5px;
     min-width:0; }
     .bp3-tag-input .bp3-tag-input-values > *{
       -webkit-box-flex:0;
@@ -8061,8 +8600,8 @@ span.bp3-popover-target{
     -webkit-box-flex:1;
         -ms-flex:1 1 auto;
             flex:1 1 auto;
-    width:80px;
-    line-height:20px; }
+    line-height:20px;
+    width:80px; }
     .bp3-tag-input .bp3-input-ghost:disabled, .bp3-tag-input .bp3-input-ghost.bp3-disabled{
       cursor:not-allowed; }
   .bp3-tag-input .bp3-button,
@@ -8070,8 +8609,8 @@ span.bp3-popover-target{
     margin:3px;
     margin-left:0; }
   .bp3-tag-input .bp3-button{
-    min-width:24px;
     min-height:24px;
+    min-width:24px;
     padding:0 7px; }
   .bp3-tag-input.bp3-large{
     height:auto;
@@ -8083,13 +8622,13 @@ span.bp3-popover-target{
     .bp3-tag-input.bp3-large > :last-child{
       margin-right:0; }
     .bp3-tag-input.bp3-large .bp3-tag-input-icon{
-      margin-top:10px;
-      margin-left:5px; }
+      margin-left:5px;
+      margin-top:10px; }
     .bp3-tag-input.bp3-large .bp3-input-ghost{
       line-height:30px; }
     .bp3-tag-input.bp3-large .bp3-button{
-      min-width:30px;
       min-height:30px;
+      min-width:30px;
       padding:5px 10px;
       margin:5px;
       margin-left:0; }
@@ -8097,9 +8636,9 @@ span.bp3-popover-target{
       margin:8px;
       margin-left:0; }
   .bp3-tag-input.bp3-active{
+    background-color:#ffffff;
     -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-            box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-    background-color:#ffffff; }
+            box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
     .bp3-tag-input.bp3-active.bp3-intent-primary{
       -webkit-box-shadow:0 0 0 1px #106ba3, 0 0 0 3px rgba(16, 107, 163, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
               box-shadow:0 0 0 1px #106ba3, 0 0 0 3px rgba(16, 107, 163, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
@@ -8127,9 +8666,9 @@ span.bp3-popover-target{
     .bp3-dark .bp3-tag-input .bp3-input-ghost::placeholder, .bp3-tag-input.bp3-dark .bp3-input-ghost::placeholder{
       color:rgba(167, 182, 194, 0.6); }
   .bp3-dark .bp3-tag-input.bp3-active, .bp3-tag-input.bp3-dark.bp3-active{
+    background-color:rgba(16, 22, 26, 0.3);
     -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
-            box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
-    background-color:rgba(16, 22, 26, 0.3); }
+            box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
     .bp3-dark .bp3-tag-input.bp3-active.bp3-intent-primary, .bp3-tag-input.bp3-dark.bp3-active.bp3-intent-primary{
       -webkit-box-shadow:0 0 0 1px #106ba3, 0 0 0 3px rgba(16, 107, 163, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
               box-shadow:0 0 0 1px #106ba3, 0 0 0 3px rgba(16, 107, 163, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
@@ -8144,76 +8683,76 @@ span.bp3-popover-target{
               box-shadow:0 0 0 1px #c23030, 0 0 0 3px rgba(194, 48, 48, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
 
 .bp3-input-ghost{
+  background:none;
   border:none;
   -webkit-box-shadow:none;
           box-shadow:none;
-  background:none;
   padding:0; }
   .bp3-input-ghost::-webkit-input-placeholder{
-    opacity:1;
-    color:rgba(92, 112, 128, 0.6); }
+    color:rgba(92, 112, 128, 0.6);
+    opacity:1; }
   .bp3-input-ghost::-moz-placeholder{
-    opacity:1;
-    color:rgba(92, 112, 128, 0.6); }
+    color:rgba(92, 112, 128, 0.6);
+    opacity:1; }
   .bp3-input-ghost:-ms-input-placeholder{
-    opacity:1;
-    color:rgba(92, 112, 128, 0.6); }
+    color:rgba(92, 112, 128, 0.6);
+    opacity:1; }
   .bp3-input-ghost::-ms-input-placeholder{
-    opacity:1;
-    color:rgba(92, 112, 128, 0.6); }
+    color:rgba(92, 112, 128, 0.6);
+    opacity:1; }
   .bp3-input-ghost::placeholder{
-    opacity:1;
-    color:rgba(92, 112, 128, 0.6); }
+    color:rgba(92, 112, 128, 0.6);
+    opacity:1; }
   .bp3-input-ghost:focus{
     outline:none !important; }
 .bp3-toast{
-  display:-webkit-box;
-  display:-ms-flexbox;
-  display:flex;
   -webkit-box-align:start;
       -ms-flex-align:start;
           align-items:flex-start;
-  position:relative !important;
-  margin:20px 0 0;
+  background-color:#ffffff;
   border-radius:3px;
   -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);
           box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);
-  background-color:#ffffff;
-  min-width:300px;
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  margin:20px 0 0;
   max-width:500px;
-  pointer-events:all; }
+  min-width:300px;
+  pointer-events:all;
+  position:relative !important; }
   .bp3-toast.bp3-toast-enter, .bp3-toast.bp3-toast-appear{
     -webkit-transform:translateY(-40px);
             transform:translateY(-40px); }
   .bp3-toast.bp3-toast-enter-active, .bp3-toast.bp3-toast-appear-active{
     -webkit-transform:translateY(0);
             transform:translateY(0);
+    -webkit-transition-delay:0;
+            transition-delay:0;
+    -webkit-transition-duration:300ms;
+            transition-duration:300ms;
     -webkit-transition-property:-webkit-transform;
     transition-property:-webkit-transform;
     transition-property:transform;
     transition-property:transform, -webkit-transform;
-    -webkit-transition-duration:300ms;
-            transition-duration:300ms;
     -webkit-transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);
-            transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);
-    -webkit-transition-delay:0;
-            transition-delay:0; }
+            transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11); }
   .bp3-toast.bp3-toast-enter ~ .bp3-toast, .bp3-toast.bp3-toast-appear ~ .bp3-toast{
     -webkit-transform:translateY(-40px);
             transform:translateY(-40px); }
   .bp3-toast.bp3-toast-enter-active ~ .bp3-toast, .bp3-toast.bp3-toast-appear-active ~ .bp3-toast{
     -webkit-transform:translateY(0);
             transform:translateY(0);
+    -webkit-transition-delay:0;
+            transition-delay:0;
+    -webkit-transition-duration:300ms;
+            transition-duration:300ms;
     -webkit-transition-property:-webkit-transform;
     transition-property:-webkit-transform;
     transition-property:transform;
     transition-property:transform, -webkit-transform;
-    -webkit-transition-duration:300ms;
-            transition-duration:300ms;
     -webkit-transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);
-            transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);
-    -webkit-transition-delay:0;
-            transition-delay:0; }
+            transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11); }
   .bp3-toast.bp3-toast-exit{
     opacity:1;
     -webkit-filter:blur(0);
@@ -8222,32 +8761,32 @@ span.bp3-popover-target{
     opacity:0;
     -webkit-filter:blur(10px);
             filter:blur(10px);
+    -webkit-transition-delay:0;
+            transition-delay:0;
+    -webkit-transition-duration:300ms;
+            transition-duration:300ms;
     -webkit-transition-property:opacity, -webkit-filter;
     transition-property:opacity, -webkit-filter;
     transition-property:opacity, filter;
     transition-property:opacity, filter, -webkit-filter;
-    -webkit-transition-duration:300ms;
-            transition-duration:300ms;
     -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-    -webkit-transition-delay:0;
-            transition-delay:0; }
+            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
   .bp3-toast.bp3-toast-exit ~ .bp3-toast{
     -webkit-transform:translateY(0);
             transform:translateY(0); }
   .bp3-toast.bp3-toast-exit-active ~ .bp3-toast{
     -webkit-transform:translateY(-40px);
             transform:translateY(-40px);
+    -webkit-transition-delay:50ms;
+            transition-delay:50ms;
+    -webkit-transition-duration:100ms;
+            transition-duration:100ms;
     -webkit-transition-property:-webkit-transform;
     transition-property:-webkit-transform;
     transition-property:transform;
     transition-property:transform, -webkit-transform;
-    -webkit-transition-duration:100ms;
-            transition-duration:100ms;
     -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-    -webkit-transition-delay:50ms;
-            transition-delay:50ms; }
+            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
   .bp3-toast .bp3-button-group{
     -webkit-box-flex:0;
         -ms-flex:0 0 auto;
@@ -8255,14 +8794,14 @@ span.bp3-popover-target{
     padding:5px;
     padding-left:0; }
   .bp3-toast > .bp3-icon{
+    color:#5c7080;
     margin:12px;
-    margin-right:0;
-    color:#5c7080; }
+    margin-right:0; }
   .bp3-toast.bp3-dark,
   .bp3-dark .bp3-toast{
+    background-color:#394b59;
     -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4);
-    background-color:#394b59; }
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4); }
     .bp3-toast.bp3-dark > .bp3-icon,
     .bp3-dark .bp3-toast > .bp3-icon{
       color:#a7b6c2; }
@@ -8306,6 +8845,9 @@ span.bp3-popover-target{
   word-break:break-word; }
 
 .bp3-toast-container{
+  -webkit-box-align:center;
+      -ms-flex-align:center;
+          align-items:center;
   display:-webkit-box !important;
   display:-ms-flexbox !important;
   display:flex !important;
@@ -8313,26 +8855,25 @@ span.bp3-popover-target{
   -webkit-box-direction:normal;
       -ms-flex-direction:column;
           flex-direction:column;
-  -webkit-box-align:center;
-      -ms-flex-align:center;
-          align-items:center;
-  position:fixed;
-  right:0;
   left:0;
-  z-index:40;
   overflow:hidden;
   padding:0 20px 20px;
-  pointer-events:none; }
+  pointer-events:none;
+  right:0;
+  z-index:40; }
+  .bp3-toast-container.bp3-toast-container-in-portal{
+    position:fixed; }
+  .bp3-toast-container.bp3-toast-container-inline{
+    position:absolute; }
   .bp3-toast-container.bp3-toast-container-top{
-    top:0;
-    bottom:auto; }
+    top:0; }
   .bp3-toast-container.bp3-toast-container-bottom{
+    bottom:0;
     -webkit-box-orient:vertical;
     -webkit-box-direction:reverse;
         -ms-flex-direction:column-reverse;
             flex-direction:column-reverse;
-    top:auto;
-    bottom:0; }
+    top:auto; }
   .bp3-toast-container.bp3-toast-container-left{
     -webkit-box-align:start;
         -ms-flex-align:start;
@@ -8345,6 +8886,7 @@ span.bp3-popover-target{
 .bp3-toast-container-bottom .bp3-toast.bp3-toast-enter:not(.bp3-toast-enter-active),
 .bp3-toast-container-bottom .bp3-toast.bp3-toast-enter:not(.bp3-toast-enter-active) ~ .bp3-toast, .bp3-toast-container-bottom .bp3-toast.bp3-toast-appear:not(.bp3-toast-appear-active),
 .bp3-toast-container-bottom .bp3-toast.bp3-toast-appear:not(.bp3-toast-appear-active) ~ .bp3-toast,
+.bp3-toast-container-bottom .bp3-toast.bp3-toast-exit-active ~ .bp3-toast,
 .bp3-toast-container-bottom .bp3-toast.bp3-toast-leave-active ~ .bp3-toast{
   -webkit-transform:translateY(60px);
           transform:translateY(60px); }
@@ -8354,16 +8896,16 @@ span.bp3-popover-target{
   -webkit-transform:scale(1);
           transform:scale(1); }
   .bp3-tooltip .bp3-popover-arrow{
+    height:22px;
     position:absolute;
-    width:22px;
-    height:22px; }
+    width:22px; }
     .bp3-tooltip .bp3-popover-arrow::before{
+      height:14px;
       margin:4px;
-      width:14px;
-      height:14px; }
+      width:14px; }
   .bp3-tether-element-attached-bottom.bp3-tether-target-attached-top > .bp3-tooltip{
-    margin-top:-11px;
-    margin-bottom:11px; }
+    margin-bottom:11px;
+    margin-top:-11px; }
     .bp3-tether-element-attached-bottom.bp3-tether-target-attached-top > .bp3-tooltip > .bp3-popover-arrow{
       bottom:-8px; }
       .bp3-tether-element-attached-bottom.bp3-tether-target-attached-top > .bp3-tooltip > .bp3-popover-arrow svg{
@@ -8384,8 +8926,8 @@ span.bp3-popover-target{
         -webkit-transform:rotate(90deg);
                 transform:rotate(90deg); }
   .bp3-tether-element-attached-right.bp3-tether-target-attached-left > .bp3-tooltip{
-    margin-right:11px;
-    margin-left:-11px; }
+    margin-left:-11px;
+    margin-right:11px; }
     .bp3-tether-element-attached-right.bp3-tether-target-attached-left > .bp3-tooltip > .bp3-popover-arrow{
       right:-8px; }
       .bp3-tether-element-attached-right.bp3-tether-target-attached-left > .bp3-tooltip > .bp3-popover-arrow svg{
@@ -8451,32 +8993,32 @@ span.bp3-popover-target{
   .bp3-popover-enter-active > .bp3-tooltip, .bp3-popover-appear-active > .bp3-tooltip{
     -webkit-transform:scale(1);
             transform:scale(1);
+    -webkit-transition-delay:0;
+            transition-delay:0;
+    -webkit-transition-duration:100ms;
+            transition-duration:100ms;
     -webkit-transition-property:-webkit-transform;
     transition-property:-webkit-transform;
     transition-property:transform;
     transition-property:transform, -webkit-transform;
-    -webkit-transition-duration:100ms;
-            transition-duration:100ms;
     -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-    -webkit-transition-delay:0;
-            transition-delay:0; }
+            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
   .bp3-popover-exit > .bp3-tooltip{
     -webkit-transform:scale(1);
             transform:scale(1); }
   .bp3-popover-exit-active > .bp3-tooltip{
     -webkit-transform:scale(0.8);
             transform:scale(0.8);
+    -webkit-transition-delay:0;
+            transition-delay:0;
+    -webkit-transition-duration:100ms;
+            transition-duration:100ms;
     -webkit-transition-property:-webkit-transform;
     transition-property:-webkit-transform;
     transition-property:transform;
     transition-property:transform, -webkit-transform;
-    -webkit-transition-duration:100ms;
-            transition-duration:100ms;
     -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-    -webkit-transition-delay:0;
-            transition-delay:0; }
+            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
   .bp3-tooltip .bp3-popover-content{
     padding:10px 12px; }
   .bp3-tooltip.bp3-dark,
@@ -8534,15 +9076,15 @@ span.bp3-popover-target{
     color:#db3737; }
 
 .bp3-tree-node-list{
+  list-style:none;
   margin:0;
-  padding-left:0;
-  list-style:none; }
+  padding-left:0; }
 
 .bp3-tree-root{
-  position:relative;
   background-color:transparent;
   cursor:default;
-  padding-left:0; }
+  padding-left:0;
+  position:relative; }
 
 .bp3-tree-node-content-0{
   padding-left:0px; }
@@ -8608,15 +9150,15 @@ span.bp3-popover-target{
   padding-left:460px; }
 
 .bp3-tree-node-content{
-  display:-webkit-box;
-  display:-ms-flexbox;
-  display:flex;
   -webkit-box-align:center;
       -ms-flex-align:center;
           align-items:center;
-  width:100%;
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
   height:30px;
-  padding-right:5px; }
+  padding-right:5px;
+  width:100%; }
   .bp3-tree-node-content:hover{
     background-color:rgba(191, 204, 214, 0.4); }
 
@@ -8626,10 +9168,10 @@ span.bp3-popover-target{
 
 .bp3-tree-node-caret{
   color:#5c7080;
-  -webkit-transform:rotate(0deg);
-          transform:rotate(0deg);
   cursor:pointer;
   padding:7px;
+  -webkit-transform:rotate(0deg);
+          transform:rotate(0deg);
   -webkit-transition:-webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9);
   transition:-webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9);
   transition:transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9);
@@ -8647,8 +9189,8 @@ span.bp3-popover-target{
     content:""; }
 
 .bp3-tree-node-icon{
-  position:relative;
-  margin-right:7px; }
+  margin-right:7px;
+  position:relative; }
 
 .bp3-tree-node-label{
   overflow:hidden;
@@ -8674,22 +9216,22 @@ span.bp3-popover-target{
           user-select:none; }
   .bp3-tree-node-secondary-label .bp3-popover-wrapper,
   .bp3-tree-node-secondary-label .bp3-popover-target{
-    display:-webkit-box;
-    display:-ms-flexbox;
-    display:flex;
     -webkit-box-align:center;
         -ms-flex-align:center;
-            align-items:center; }
+            align-items:center;
+    display:-webkit-box;
+    display:-ms-flexbox;
+    display:flex; }
 
 .bp3-tree-node.bp3-disabled .bp3-tree-node-content{
   background-color:inherit;
-  cursor:not-allowed;
-  color:rgba(92, 112, 128, 0.6); }
+  color:rgba(92, 112, 128, 0.6);
+  cursor:not-allowed; }
 
 .bp3-tree-node.bp3-disabled .bp3-tree-node-caret,
 .bp3-tree-node.bp3-disabled .bp3-tree-node-icon{
-  cursor:not-allowed;
-  color:rgba(92, 112, 128, 0.6); }
+  color:rgba(92, 112, 128, 0.6);
+  cursor:not-allowed; }
 
 .bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content{
   background-color:#137cbd; }
@@ -8717,24 +9259,18 @@ span.bp3-popover-target{
 
 .bp3-dark .bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content{
   background-color:#137cbd; }
-/*!
-
-Copyright 2017-present Palantir Technologies, Inc. All rights reserved.
-Licensed under the Apache License, Version 2.0.
-
-*/
 .bp3-omnibar{
   -webkit-filter:blur(0);
           filter:blur(0);
   opacity:1;
-  top:20vh;
-  left:calc(50% - 250px);
-  z-index:21;
+  background-color:#ffffff;
   border-radius:3px;
   -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2);
           box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2);
-  background-color:#ffffff;
-  width:500px; }
+  left:calc(50% - 250px);
+  top:20vh;
+  width:500px;
+  z-index:21; }
   .bp3-omnibar.bp3-overlay-enter, .bp3-omnibar.bp3-overlay-appear{
     -webkit-filter:blur(20px);
             filter:blur(20px);
@@ -8743,16 +9279,16 @@ Licensed under the Apache License, Version 2.0.
     -webkit-filter:blur(0);
             filter:blur(0);
     opacity:1;
+    -webkit-transition-delay:0;
+            transition-delay:0;
+    -webkit-transition-duration:200ms;
+            transition-duration:200ms;
     -webkit-transition-property:opacity, -webkit-filter;
     transition-property:opacity, -webkit-filter;
     transition-property:filter, opacity;
     transition-property:filter, opacity, -webkit-filter;
-    -webkit-transition-duration:200ms;
-            transition-duration:200ms;
     -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-    -webkit-transition-delay:0;
-            transition-delay:0; }
+            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
   .bp3-omnibar.bp3-overlay-exit{
     -webkit-filter:blur(0);
             filter:blur(0);
@@ -8761,35 +9297,35 @@ Licensed under the Apache License, Version 2.0.
     -webkit-filter:blur(20px);
             filter:blur(20px);
     opacity:0.2;
+    -webkit-transition-delay:0;
+            transition-delay:0;
+    -webkit-transition-duration:200ms;
+            transition-duration:200ms;
     -webkit-transition-property:opacity, -webkit-filter;
     transition-property:opacity, -webkit-filter;
     transition-property:filter, opacity;
     transition-property:filter, opacity, -webkit-filter;
-    -webkit-transition-duration:200ms;
-            transition-duration:200ms;
     -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
-    -webkit-transition-delay:0;
-            transition-delay:0; }
+            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
   .bp3-omnibar .bp3-input{
-    border-radius:0;
-    background-color:transparent; }
+    background-color:transparent;
+    border-radius:0; }
     .bp3-omnibar .bp3-input, .bp3-omnibar .bp3-input:focus{
       -webkit-box-shadow:none;
               box-shadow:none; }
   .bp3-omnibar .bp3-menu{
+    background-color:transparent;
     border-radius:0;
     -webkit-box-shadow:inset 0 1px 0 rgba(16, 22, 26, 0.15);
             box-shadow:inset 0 1px 0 rgba(16, 22, 26, 0.15);
-    background-color:transparent;
     max-height:calc(60vh - 40px);
     overflow:auto; }
     .bp3-omnibar .bp3-menu:empty{
       display:none; }
   .bp3-dark .bp3-omnibar, .bp3-omnibar.bp3-dark{
+    background-color:#30404d;
     -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 4px 8px rgba(16, 22, 26, 0.4), 0 18px 46px 6px rgba(16, 22, 26, 0.4);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 4px 8px rgba(16, 22, 26, 0.4), 0 18px 46px 6px rgba(16, 22, 26, 0.4);
-    background-color:#30404d; }
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 4px 8px rgba(16, 22, 26, 0.4), 0 18px 46px 6px rgba(16, 22, 26, 0.4); }
 
 .bp3-omnibar-overlay .bp3-overlay-backdrop{
   background-color:rgba(16, 22, 26, 0.2); }
@@ -8801,8 +9337,8 @@ Licensed under the Apache License, Version 2.0.
   margin-bottom:0; }
 
 .bp3-select-popover .bp3-menu{
-  max-width:400px;
   max-height:300px;
+  max-width:400px;
   overflow:auto;
   padding:0; }
   .bp3-select-popover .bp3-menu:not(:first-child){
@@ -8812,8 +9348,8 @@ Licensed under the Apache License, Version 2.0.
   min-width:150px; }
 
 .bp3-multi-select-popover .bp3-menu{
-  max-width:400px;
   max-height:300px;
+  max-width:400px;
   overflow:auto; }
 
 .bp3-select-popover .bp3-popover-content{
@@ -8823,8 +9359,8 @@ Licensed under the Apache License, Version 2.0.
   margin-bottom:0; }
 
 .bp3-select-popover .bp3-menu{
-  max-width:400px;
   max-height:300px;
+  max-width:400px;
   overflow:auto;
   padding:0; }
   .bp3-select-popover .bp3-menu:not(:first-child){
@@ -8844,7 +9380,7 @@ Licensed under the Apache License, Version 2.0.
 
 :root {
   --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
-  --jp-icon-bug: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug: url(data:image/svg+xml;base64,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);
   --jp-icon-build: url(data:image/svg+xml;base64,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);
   --jp-icon-caret-down-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iOS45LDEzLjYgMy42LDcuNCA0LjQsNi42IDkuOSwxMi4yIDE1LjQsNi43IDE2LjEsNy40ICIvPgoJPC9nPgo8L3N2Zz4K);
   --jp-icon-caret-down-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNS45TDksOS43bDMuOC0zLjhsMS4yLDEuMmwtNC45LDVsLTQuOS01TDUuMiw1Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
@@ -8854,13 +9390,15 @@ Licensed under the Apache License, Version 2.0.
   --jp-icon-caret-up-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iMTUuNCwxMy4zIDkuOSw3LjcgNC40LDEzLjIgMy42LDEyLjUgOS45LDYuMyAxNi4xLDEyLjYgIi8+Cgk8L2c+Cjwvc3ZnPgo=);
   --jp-icon-caret-up: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik01LjIsMTAuNUw5LDYuOGwzLjgsMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
   --jp-icon-case-sensitive: url(data:image/svg+xml;base64,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);
-  --jp-icon-check: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTkgMTYuMTdMNC44MyAxMmwtMS40MiAxLjQxTDkgMTkgMjEgN2wtMS40MS0xLjQxeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-check: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik05IDE2LjE3TDQuODMgMTJsLTEuNDIgMS40MUw5IDE5IDIxIDdsLTEuNDEtMS40MXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
   --jp-icon-circle-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDJDNi40NyAyIDIgNi40NyAyIDEyczQuNDcgMTAgMTAgMTAgMTAtNC40NyAxMC0xMFMxNy41MyAyIDEyIDJ6bTAgMThjLTQuNDEgMC04LTMuNTktOC04czMuNTktOCA4LTggOCAzLjU5IDggOC0zLjU5IDgtOCA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
   --jp-icon-circle: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iOSIgY3k9IjkiIHI9IjgiLz4KICA8L2c+Cjwvc3ZnPgo=);
   --jp-icon-clear: url(data:image/svg+xml;base64,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);
   --jp-icon-close: url(data:image/svg+xml;base64,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);
+  --jp-icon-code: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTExLjQgMTguNkw2LjggMTRMMTEuNCA5LjRMMTAgOEw0IDE0TDEwIDIwTDExLjQgMTguNlpNMTYuNiAxOC42TDIxLjIgMTRMMTYuNiA5LjRMMTggOEwyNCAxNEwxOCAyMEwxNi42IDE4LjZWMTguNloiLz4KCTwvZz4KPC9zdmc+Cg==);
   --jp-icon-console: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwMCAyMDAiPgogIDxnIGNsYXNzPSJqcC1pY29uLWJyYW5kMSBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiMwMjg4RDEiPgogICAgPHBhdGggZD0iTTIwIDE5LjhoMTYwdjE1OS45SDIweiIvPgogIDwvZz4KICA8ZyBjbGFzcz0ianAtaWNvbi1zZWxlY3RhYmxlLWludmVyc2UiIGZpbGw9IiNmZmYiPgogICAgPHBhdGggZD0iTTEwNSAxMjcuM2g0MHYxMi44aC00MHpNNTEuMSA3N0w3NCA5OS45bC0yMy4zIDIzLjMgMTAuNSAxMC41IDIzLjMtMjMuM0w5NSA5OS45IDg0LjUgODkuNCA2MS42IDY2LjV6Ii8+CiAgPC9nPgo8L3N2Zz4K);
   --jp-icon-copy: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTExLjksMUgzLjJDMi40LDEsMS43LDEuNywxLjcsMi41djEwLjJoMS41VjIuNWg4LjdWMXogTTE0LjEsMy45aC04Yy0wLjgsMC0xLjUsMC43LTEuNSwxLjV2MTAuMmMwLDAuOCwwLjcsMS41LDEuNSwxLjVoOCBjMC44LDAsMS41LTAuNywxLjUtMS41VjUuNEMxNS41LDQuNiwxNC45LDMuOSwxNC4xLDMuOXogTTE0LjEsMTUuNWgtOFY1LjRoOFYxNS41eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-copyright: url(data:image/svg+xml;base64,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);
   --jp-icon-cut: url(data:image/svg+xml;base64,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);
   --jp-icon-download: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDloLTRWM0g5djZINWw3IDcgNy03ek01IDE4djJoMTR2LTJINXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
   --jp-icon-edit: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMgMTcuMjVWMjFoMy43NUwxNy44MSA5Ljk0bC0zLjc1LTMuNzVMMyAxNy4yNXpNMjAuNzEgNy4wNGMuMzktLjM5LjM5LTEuMDIgMC0xLjQxbC0yLjM0LTIuMzRjLS4zOS0uMzktMS4wMi0uMzktMS40MSAwbC0xLjgzIDEuODMgMy43NSAzLjc1IDEuODMtMS44M3oiLz4KICA8L2c+Cjwvc3ZnPgo=);
@@ -8875,6 +9413,7 @@ Licensed under the Apache License, Version 2.0.
   --jp-icon-image: url(data:image/svg+xml;base64,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);
   --jp-icon-inspector: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMjAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY2YzAtMS4xLS45LTItMi0yem0tNSAxNEg0di00aDExdjR6bTAtNUg0VjloMTF2NHptNSA1aC00VjloNHY5eiIvPgo8L3N2Zz4K);
   --jp-icon-json: url(data:image/svg+xml;base64,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);
+  --jp-icon-julia: url(data:image/svg+xml;base64,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);
   --jp-icon-jupyter-favicon: url(data:image/svg+xml;base64,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);
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   --jp-icon-jupyterlab-wordmark: 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@@ -8884,16 +9423,20 @@ Licensed under the Apache License, Version 2.0.
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   --jp-icon-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xOSA1djE0SDVWNWgxNG0xLjEtMkgzLjljLS41IDAtLjkuNC0uOS45djE2LjJjMCAuNC40LjkuOS45aDE2LjJjLjQgMCAuOS0uNS45LS45VjMuOWMwLS41LS41LS45LS45LS45ek0xMSA3aDZ2MmgtNlY3em0wIDRoNnYyaC02di0yem0wIDRoNnYyaC02ek03IDdoMnYySDd6bTAgNGgydjJIN3ptMCA0aDJ2Mkg3eiIvPgo8L3N2Zz4=);
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+  --jp-icon-listings-info: url(data:image/svg+xml;base64,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);
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   --jp-icon-new-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIwIDZoLThsLTItMkg0Yy0xLjExIDAtMS45OS44OS0xLjk5IDJMMiAxOGMwIDEuMTEuODkgMiAyIDJoMTZjMS4xMSAwIDItLjg5IDItMlY4YzAtMS4xMS0uODktMi0yLTJ6bS0xIDhoLTN2M2gtMnYtM2gtM3YtMmgzVjloMnYzaDN2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
   --jp-icon-not-trusted: url(data:image/svg+xml;base64,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);
   --jp-icon-notebook: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbi13YXJuMCBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNFRjZDMDAiPgogICAgPHBhdGggZD0iTTE4LjcgMy4zdjE1LjRIMy4zVjMuM2gxNS40bTEuNS0xLjVIMS44djE4LjNoMTguM2wuMS0xOC4zeiIvPgogICAgPHBhdGggZD0iTTE2LjUgMTYuNWwtNS40LTQuMy01LjYgNC4zdi0xMWgxMXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-numbering: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTQgMTlINlYxOS41SDVWMjAuNUg2VjIxSDRWMjJIN1YxOEg0VjE5Wk01IDEwSDZWNkg0VjdINVYxMFpNNCAxM0g1LjhMNCAxNS4xVjE2SDdWMTVINS4yTDcgMTIuOVYxMkg0VjEzWk05IDdWOUgyM1Y3SDlaTTkgMjFIMjNWMTlIOVYyMVpNOSAxNUgyM1YxM0g5VjE1WiIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-offline-bolt: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDIuMDJjLTUuNTEgMC05Ljk4IDQuNDctOS45OCA5Ljk4czQuNDcgOS45OCA5Ljk4IDkuOTggOS45OC00LjQ3IDkuOTgtOS45OFMxNy41MSAyLjAyIDEyIDIuMDJ6TTExLjQ4IDIwdi02LjI2SDhMMTMgNHY2LjI2aDMuMzVMMTEuNDggMjB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
   --jp-icon-palette: url(data:image/svg+xml;base64,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);
   --jp-icon-paste: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE5IDJoLTQuMThDMTQuNC44NCAxMy4zIDAgMTIgMGMtMS4zIDAtMi40Ljg0LTIuODIgMkg1Yy0xLjEgMC0yIC45LTIgMnYxNmMwIDEuMS45IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjRjMC0xLjEtLjktMi0yLTJ6bS03IDBjLjU1IDAgMSAuNDUgMSAxcy0uNDUgMS0xIDEtMS0uNDUtMS0xIC40NS0xIDEtMXptNyAxOEg1VjRoMnYzaDEwVjRoMnYxNnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-pdf: url(data:image/svg+xml;base64,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);
   --jp-icon-python: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbi1icmFuZDAganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMEQ0N0ExIj4KICAgIDxwYXRoIGQ9Ik0xMS4xIDYuOVY1LjhINi45YzAtLjUgMC0xLjMuMi0xLjYuNC0uNy44LTEuMSAxLjctMS40IDEuNy0uMyAyLjUtLjMgMy45LS4xIDEgLjEgMS45LjkgMS45IDEuOXY0LjJjMCAuNS0uOSAxLjYtMiAxLjZIOC44Yy0xLjUgMC0yLjQgMS40LTIuNCAyLjh2Mi4ySDQuN0MzLjUgMTUuMSAzIDE0IDMgMTMuMVY5Yy0uMS0xIC42LTIgMS44LTIgMS41LS4xIDYuMy0uMSA2LjMtLjF6Ii8+CiAgICA8cGF0aCBkPSJNMTAuOSAxNS4xdjEuMWg0LjJjMCAuNSAwIDEuMy0uMiAxLjYtLjQuNy0uOCAxLjEtMS43IDEuNC0xLjcuMy0yLjUuMy0zLjkuMS0xLS4xLTEuOS0uOS0xLjktMS45di00LjJjMC0uNS45LTEuNiAyLTEuNmgzLjhjMS41IDAgMi40LTEuNCAyLjQtMi44VjYuNmgxLjdDMTguNSA2LjkgMTkgOCAxOSA4LjlWMTNjMCAxLS43IDIuMS0xLjkgMi4xaC02LjJ6Ii8+CiAgPC9nPgo8L3N2Zz4K);
   --jp-icon-r-kernel: url(data:image/svg+xml;base64,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);
   --jp-icon-react: url(data:image/svg+xml;base64,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);
+  --jp-icon-redo: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIi8+PHBhdGggZD0iTTE4LjQgMTAuNkMxNi41NSA4Ljk5IDE0LjE1IDggMTEuNSA4Yy00LjY1IDAtOC41OCAzLjAzLTkuOTYgNy4yMkwzLjkgMTZjMS4wNS0zLjE5IDQuMDUtNS41IDcuNi01LjUgMS45NSAwIDMuNzMuNzIgNS4xMiAxLjg4TDEzIDE2aDlWN2wtMy42IDMuNnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
   --jp-icon-refresh: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
   --jp-icon-regex: url(data:image/svg+xml;base64,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);
   --jp-icon-run: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTggNXYxNGwxMS03eiIvPgogICAgPC9nPgo8L3N2Zz4K);
@@ -8904,8 +9447,12 @@ Licensed under the Apache License, Version 2.0.
   --jp-icon-spreadsheet: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNENBRjUwIiBkPSJNMi4yIDIuMnYxNy42aDE3LjZWMi4ySDIuMnptMTUuNCA3LjdoLTUuNVY0LjRoNS41djUuNXpNOS45IDQuNHY1LjVINC40VjQuNGg1LjV6bS01LjUgNy43aDUuNXY1LjVINC40di01LjV6bTcuNyA1LjV2LTUuNWg1LjV2NS41aC01LjV6Ii8+Cjwvc3ZnPgo=);
   --jp-icon-stop: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik02IDZoMTJ2MTJINnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
   --jp-icon-tab: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIxIDNIM2MtMS4xIDAtMiAuOS0yIDJ2MTRjMCAxLjEuOSAyIDIgMmgxOGMxLjEgMCAyLS45IDItMlY1YzAtMS4xLS45LTItMi0yem0wIDE2SDNWNWgxMHY0aDh2MTB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-table-rows: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMSw4SDNWNGgxOFY4eiBNMjEsMTBIM3Y0aDE4VjEweiBNMjEsMTZIM3Y0aDE4VjE2eiIvPgogICAgPC9nPgo8L3N2Zz4=);
+  --jp-icon-tag: url(data:image/svg+xml;base64,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);
   --jp-icon-terminal: url(data:image/svg+xml;base64,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);
   --jp-icon-text-editor: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTUgMTVIM3YyaDEydi0yem0wLThIM3YyaDEyVjd6TTMgMTNoMTh2LTJIM3Yyem0wIDhoMTh2LTJIM3Yyek0zIDN2MmgxOFYzSDN6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-toc: url(data:image/svg+xml;base64,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);
+  --jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4=);
   --jp-icon-trusted: url(data:image/svg+xml;base64,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);
   --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
   --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);
@@ -8962,12 +9509,18 @@ Licensed under the Apache License, Version 2.0.
 .jp-CloseIcon {
   background-image: var(--jp-icon-close);
 }
+.jp-CodeIcon {
+  background-image: var(--jp-icon-code);
+}
 .jp-ConsoleIcon {
   background-image: var(--jp-icon-console);
 }
 .jp-CopyIcon {
   background-image: var(--jp-icon-copy);
 }
+.jp-CopyrightIcon {
+  background-image: var(--jp-icon-copyright);
+}
 .jp-CutIcon {
   background-image: var(--jp-icon-cut);
 }
@@ -9010,6 +9563,9 @@ Licensed under the Apache License, Version 2.0.
 .jp-JsonIcon {
   background-image: var(--jp-icon-json);
 }
+.jp-JuliaIcon {
+  background-image: var(--jp-icon-julia);
+}
 .jp-JupyterFaviconIcon {
   background-image: var(--jp-icon-jupyter-favicon);
 }
@@ -9052,12 +9608,21 @@ Licensed under the Apache License, Version 2.0.
 .jp-NotebookIcon {
   background-image: var(--jp-icon-notebook);
 }
+.jp-NumberingIcon {
+  background-image: var(--jp-icon-numbering);
+}
+.jp-OfflineBoltIcon {
+  background-image: var(--jp-icon-offline-bolt);
+}
 .jp-PaletteIcon {
   background-image: var(--jp-icon-palette);
 }
 .jp-PasteIcon {
   background-image: var(--jp-icon-paste);
 }
+.jp-PdfIcon {
+  background-image: var(--jp-icon-pdf);
+}
 .jp-PythonIcon {
   background-image: var(--jp-icon-python);
 }
@@ -9067,6 +9632,9 @@ Licensed under the Apache License, Version 2.0.
 .jp-ReactIcon {
   background-image: var(--jp-icon-react);
 }
+.jp-RedoIcon {
+  background-image: var(--jp-icon-redo);
+}
 .jp-RefreshIcon {
   background-image: var(--jp-icon-refresh);
 }
@@ -9097,12 +9665,24 @@ Licensed under the Apache License, Version 2.0.
 .jp-TabIcon {
   background-image: var(--jp-icon-tab);
 }
+.jp-TableRowsIcon {
+  background-image: var(--jp-icon-table-rows);
+}
+.jp-TagIcon {
+  background-image: var(--jp-icon-tag);
+}
 .jp-TerminalIcon {
   background-image: var(--jp-icon-terminal);
 }
 .jp-TextEditorIcon {
   background-image: var(--jp-icon-text-editor);
 }
+.jp-TocIcon {
+  background-image: var(--jp-icon-toc);
+}
+.jp-TreeViewIcon {
+  background-image: var(--jp-icon-tree-view);
+}
 .jp-TrustedIcon {
   background-image: var(--jp-icon-trusted);
 }
@@ -9125,10 +9705,6 @@ Licensed under the Apache License, Version 2.0.
  * (DEPRECATED) Support for consuming icons as CSS background images
  */
 
-:root {
-  --jp-icon-search-white: url(data:image/svg+xml;base64,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);
-}
-
 .jp-Icon,
 .jp-MaterialIcon {
   background-position: center;
@@ -9685,6 +10261,64 @@ Licensed under the Apache License, Version 2.0.
 | Distributed under the terms of the Modified BSD License.
 |----------------------------------------------------------------------------*/
 
+.jp-switch {
+  display: flex;
+  align-items: center;
+  padding-left: 4px;
+  padding-right: 4px;
+  font-size: var(--jp-ui-font-size1);
+  background-color: transparent;
+  color: var(--jp-ui-font-color1);
+  border: none;
+  height: 20px;
+}
+
+.jp-switch:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-switch-label {
+  margin-right: 5px;
+}
+
+.jp-switch-track {
+  cursor: pointer;
+  background-color: var(--jp-border-color1);
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 34px;
+  height: 16px;
+  width: 35px;
+  position: relative;
+}
+
+.jp-switch-track::before {
+  content: '';
+  position: absolute;
+  height: 10px;
+  width: 10px;
+  margin: 3px;
+  left: 0px;
+  background-color: var(--jp-ui-inverse-font-color1);
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 50%;
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track {
+  background-color: var(--jp-warn-color0);
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track::before {
+  /* track width (35) - margins (3 + 3) - thumb width (10) */
+  left: 19px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
 /* Sibling imports */
 
 /* Override Blueprint's _reset.scss styles */
@@ -9817,13 +10451,6 @@ select {
 | Distributed under the terms of the Modified BSD License.
 |----------------------------------------------------------------------------*/
 
-/* This file was auto-generated by ensurePackage() in @jupyterlab/buildutils */
-
-/*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
-
 .jp-Collapse {
   display: flex;
   flex-direction: column;
@@ -9876,6 +10503,46 @@ select {
   font-size: var(--jp-ui-font-size1);
 }
 
+/*-----------------------------------------------------------------------------
+| Modal variant
+|----------------------------------------------------------------------------*/
+
+.jp-ModalCommandPalette {
+  position: absolute;
+  z-index: 10000;
+  top: 38px;
+  left: 30%;
+  margin: 0;
+  padding: 4px;
+  width: 40%;
+  box-shadow: var(--jp-elevation-z4);
+  border-radius: 4px;
+  background: var(--jp-layout-color0);
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette {
+  max-height: 40vh;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-close-icon::after {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-header {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item {
+  margin-left: 4px;
+  margin-right: 4px;
+}
+
+.jp-ModalCommandPalette
+  .lm-CommandPalette
+  .lm-CommandPalette-item.lm-mod-disabled {
+  display: none;
+}
+
 /*-----------------------------------------------------------------------------
 | Search
 |----------------------------------------------------------------------------*/
@@ -9899,20 +10566,22 @@ select {
     inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
 }
 
-.lm-CommandPalette-wrapper::after {
-  content: ' ';
+.jp-SearchIconGroup {
   color: white;
   background-color: var(--jp-brand-color1);
   position: absolute;
   top: 4px;
   right: 4px;
-  height: 30px;
-  width: 10px;
-  padding: 0px 10px;
-  background-image: var(--jp-icon-search-white);
-  background-size: 20px;
-  background-repeat: no-repeat;
-  background-position: center;
+  padding: 5px 5px 1px 5px;
+}
+
+.jp-SearchIconGroup svg {
+  height: 20px;
+  width: 20px;
+}
+
+.jp-SearchIconGroup .jp-icon3[fill] {
+  fill: var(--jp-layout-color0);
 }
 
 .lm-CommandPalette-input {
@@ -9929,7 +10598,7 @@ select {
 .lm-CommandPalette-input::-webkit-input-placeholder,
 .lm-CommandPalette-input::-moz-placeholder,
 .lm-CommandPalette-input:-ms-input-placeholder {
-  color: var(--jp-ui-font-color3);
+  color: var(--jp-ui-font-color2);
   font-size: var(--jp-ui-font-size1);
 }
 
@@ -9972,16 +10641,30 @@ select {
   display: flex;
 }
 
-.lm-CommandPalette-item.lm-mod-disabled {
-  color: var(--jp-ui-font-color3);
+.lm-CommandPalette-item.lm-mod-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item.lm-mod-active {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-inverse-font-color0);
 }
 
-.lm-CommandPalette-item.lm-mod-active {
-  background: var(--jp-layout-color3);
+.lm-CommandPalette-item.lm-mod-active .jp-icon-selectable[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-inverse-font-color0);
 }
 
 .lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) {
-  background: var(--jp-layout-color4);
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
 }
 
 .lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) {
@@ -9999,7 +10682,7 @@ select {
 }
 
 .lm-CommandPalette-item.lm-mod-disabled mark {
-  color: var(--jp-ui-font-color3);
+  color: var(--jp-ui-font-color2);
 }
 
 .lm-CommandPalette-item .lm-CommandPalette-itemIcon {
@@ -10011,7 +10694,7 @@ select {
 }
 
 .lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon {
-  opacity: 0.4;
+  opacity: 0.6;
 }
 
 .lm-CommandPalette-item .lm-CommandPalette-itemShortcut {
@@ -10087,6 +10770,7 @@ select {
    * relative to this base size */
   font-size: var(--jp-ui-font-size1);
   color: var(--jp-ui-font-color1);
+  resize: both;
 }
 
 .jp-Dialog-button {
@@ -10103,7 +10787,16 @@ button.jp-Dialog-button:focus::-moz-focus-inner {
   border: 0;
 }
 
+button.jp-Dialog-close-button {
+  padding: 0;
+  height: 100%;
+  min-width: unset;
+  min-height: unset;
+}
+
 .jp-Dialog-header {
+  display: flex;
+  justify-content: space-between;
   flex: 0 0 auto;
   padding-bottom: 12px;
   font-size: var(--jp-ui-font-size3);
@@ -10201,6 +10894,16 @@ body.lm-mod-override-cursor .jp-IFrame:before {
   background: transparent;
 }
 
+.jp-Input-Boolean-Dialog {
+  flex-direction: row-reverse;
+  align-items: end;
+  width: 100%;
+}
+
+.jp-Input-Boolean-Dialog > label {
+  flex: 1 1 auto;
+}
+
 /*-----------------------------------------------------------------------------
 | Copyright (c) 2014-2016, Jupyter Development Team.
 |
@@ -10607,11 +11310,30 @@ input.jp-mod-styled {
   -moz-appearance: none;
 }
 
+input[type='checkbox'].jp-mod-styled {
+  appearance: checkbox;
+  -webkit-appearance: checkbox;
+  -moz-appearance: checkbox;
+  height: auto;
+}
+
 input.jp-mod-styled:focus {
   border: var(--jp-border-width) solid var(--md-blue-500);
   box-shadow: inset 0 0 4px var(--md-blue-300);
 }
 
+.jp-FileDialog-Checkbox {
+  margin-top: 35px;
+  display: flex;
+  flex-direction: row;
+  align-items: end;
+  width: 100%;
+}
+
+.jp-FileDialog-Checkbox > label {
+  flex: 1 1 auto;
+}
+
 .jp-select-wrapper {
   display: flex;
   position: relative;
@@ -10676,6 +11398,7 @@ select.jp-mod-styled {
   min-height: var(--jp-toolbar-micro-height);
   padding: 2px;
   z-index: 1;
+  overflow-x: auto;
 }
 
 /* Toolbar items */
@@ -10754,19 +11477,26 @@ button.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label {
   color: var(--jp-ui-font-color1);
 }
 
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar.jp-Toolbar-micro {
+  padding: 0;
+  min-height: 0;
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar {
+  border: none;
+  box-shadow: none;
+}
+
 /*-----------------------------------------------------------------------------
 | Copyright (c) 2014-2017, Jupyter Development Team.
 |
 | Distributed under the terms of the Modified BSD License.
 |----------------------------------------------------------------------------*/
 
-/*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
-
-/* This file was auto-generated by ensurePackage() in @jupyterlab/buildutils */
-
 /*-----------------------------------------------------------------------------
 | Copyright (c) Jupyter Development Team.
 | Copyright (c) 2014-2017, PhosphorJS Contributors
@@ -10837,18 +11567,6 @@ body.lm-mod-override-cursor * {
   box-shadow: var(--jp-input-box-shadow);
 }
 
-/*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
-
-/* This file was auto-generated by ensurePackage() in @jupyterlab/buildutils */
-
-/*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
-
 /* BASICS */
 
 .CodeMirror {
@@ -11015,17 +11733,17 @@ div.CodeMirror span.CodeMirror-nonmatchingbracket {color: #a22;}
 
 .CodeMirror-scroll {
   overflow: scroll !important; /* Things will break if this is overridden */
-  /* 30px is the magic margin used to hide the element's real scrollbars */
+  /* 50px is the magic margin used to hide the element's real scrollbars */
   /* See overflow: hidden in .CodeMirror */
-  margin-bottom: -30px; margin-right: -30px;
-  padding-bottom: 30px;
+  margin-bottom: -50px; margin-right: -50px;
+  padding-bottom: 50px;
   height: 100%;
   outline: none; /* Prevent dragging from highlighting the element */
   position: relative;
 }
 .CodeMirror-sizer {
   position: relative;
-  border-right: 30px solid transparent;
+  border-right: 50px solid transparent;
 }
 
 /* The fake, visible scrollbars. Used to force redraw during scrolling
@@ -11035,6 +11753,7 @@ div.CodeMirror span.CodeMirror-nonmatchingbracket {color: #a22;}
   position: absolute;
   z-index: 6;
   display: none;
+  outline: none;
 }
 .CodeMirror-vscrollbar {
   right: 0; top: 0;
@@ -11063,7 +11782,7 @@ div.CodeMirror span.CodeMirror-nonmatchingbracket {color: #a22;}
   height: 100%;
   display: inline-block;
   vertical-align: top;
-  margin-bottom: -30px;
+  margin-bottom: -50px;
 }
 .CodeMirror-gutter-wrapper {
   position: absolute;
@@ -11121,872 +11840,138 @@ div.CodeMirror span.CodeMirror-nonmatchingbracket {color: #a22;}
   z-index: 0;
 }
 
-.CodeMirror-linewidget {
-  position: relative;
-  z-index: 2;
-  padding: 0.1px; /* Force widget margins to stay inside of the container */
-}
-
-.CodeMirror-widget {}
-
-.CodeMirror-rtl pre { direction: rtl; }
-
-.CodeMirror-code {
-  outline: none;
-}
-
-/* Force content-box sizing for the elements where we expect it */
-.CodeMirror-scroll,
-.CodeMirror-sizer,
-.CodeMirror-gutter,
-.CodeMirror-gutters,
-.CodeMirror-linenumber {
-  -moz-box-sizing: content-box;
-  box-sizing: content-box;
-}
-
-.CodeMirror-measure {
-  position: absolute;
-  width: 100%;
-  height: 0;
-  overflow: hidden;
-  visibility: hidden;
-}
-
-.CodeMirror-cursor {
-  position: absolute;
-  pointer-events: none;
-}
-.CodeMirror-measure pre { position: static; }
-
-div.CodeMirror-cursors {
-  visibility: hidden;
-  position: relative;
-  z-index: 3;
-}
-div.CodeMirror-dragcursors {
-  visibility: visible;
-}
-
-.CodeMirror-focused div.CodeMirror-cursors {
-  visibility: visible;
-}
-
-.CodeMirror-selected { background: #d9d9d9; }
-.CodeMirror-focused .CodeMirror-selected { background: #d7d4f0; }
-.CodeMirror-crosshair { cursor: crosshair; }
-.CodeMirror-line::selection, .CodeMirror-line > span::selection, .CodeMirror-line > span > span::selection { background: #d7d4f0; }
-.CodeMirror-line::-moz-selection, .CodeMirror-line > span::-moz-selection, .CodeMirror-line > span > span::-moz-selection { background: #d7d4f0; }
-
-.cm-searching {
-  background-color: #ffa;
-  background-color: rgba(255, 255, 0, .4);
-}
-
-/* Used to force a border model for a node */
-.cm-force-border { padding-right: .1px; }
-
-@media print {
-  /* Hide the cursor when printing */
-  .CodeMirror div.CodeMirror-cursors {
-    visibility: hidden;
-  }
-}
-
-/* See issue #2901 */
-.cm-tab-wrap-hack:after { content: ''; }
-
-/* Help users use markselection to safely style text background */
-span.CodeMirror-selectedtext { background: none; }
-
-.CodeMirror-dialog {
-  position: absolute;
-  left: 0; right: 0;
-  background: inherit;
-  z-index: 15;
-  padding: .1em .8em;
-  overflow: hidden;
-  color: inherit;
-}
-
-.CodeMirror-dialog-top {
-  border-bottom: 1px solid #eee;
-  top: 0;
-}
-
-.CodeMirror-dialog-bottom {
-  border-top: 1px solid #eee;
-  bottom: 0;
-}
-
-.CodeMirror-dialog input {
-  border: none;
-  outline: none;
-  background: transparent;
-  width: 20em;
-  color: inherit;
-  font-family: monospace;
-}
-
-.CodeMirror-dialog button {
-  font-size: 70%;
-}
-
-.CodeMirror-foldmarker {
-  color: blue;
-  text-shadow: #b9f 1px 1px 2px, #b9f -1px -1px 2px, #b9f 1px -1px 2px, #b9f -1px 1px 2px;
-  font-family: arial;
-  line-height: .3;
-  cursor: pointer;
-}
-.CodeMirror-foldgutter {
-  width: .7em;
-}
-.CodeMirror-foldgutter-open,
-.CodeMirror-foldgutter-folded {
-  cursor: pointer;
-}
-.CodeMirror-foldgutter-open:after {
-  content: "\25BE";
-}
-.CodeMirror-foldgutter-folded:after {
-  content: "\25B8";
-}
-
-/*
-  Name:       material
-  Author:     Mattia Astorino (http://github.com/equinusocio)
-  Website:    https://material-theme.site/
-*/
-
-.cm-s-material.CodeMirror {
-  background-color: #263238;
-  color: #EEFFFF;
-}
-
-.cm-s-material .CodeMirror-gutters {
-  background: #263238;
-  color: #546E7A;
-  border: none;
-}
-
-.cm-s-material .CodeMirror-guttermarker,
-.cm-s-material .CodeMirror-guttermarker-subtle,
-.cm-s-material .CodeMirror-linenumber {
-  color: #546E7A;
-}
-
-.cm-s-material .CodeMirror-cursor {
-  border-left: 1px solid #FFCC00;
-}
-
-.cm-s-material div.CodeMirror-selected {
-  background: rgba(128, 203, 196, 0.2);
-}
-
-.cm-s-material.CodeMirror-focused div.CodeMirror-selected {
-  background: rgba(128, 203, 196, 0.2);
-}
-
-.cm-s-material .CodeMirror-line::selection,
-.cm-s-material .CodeMirror-line>span::selection,
-.cm-s-material .CodeMirror-line>span>span::selection {
-  background: rgba(128, 203, 196, 0.2);
-}
-
-.cm-s-material .CodeMirror-line::-moz-selection,
-.cm-s-material .CodeMirror-line>span::-moz-selection,
-.cm-s-material .CodeMirror-line>span>span::-moz-selection {
-  background: rgba(128, 203, 196, 0.2);
-}
-
-.cm-s-material .CodeMirror-activeline-background {
-  background: rgba(0, 0, 0, 0.5);
-}
-
-.cm-s-material .cm-keyword {
-  color: #C792EA;
-}
-
-.cm-s-material .cm-operator {
-  color: #89DDFF;
-}
-
-.cm-s-material .cm-variable-2 {
-  color: #EEFFFF;
-}
-
-.cm-s-material .cm-variable-3,
-.cm-s-material .cm-type {
-  color: #f07178;
-}
-
-.cm-s-material .cm-builtin {
-  color: #FFCB6B;
-}
-
-.cm-s-material .cm-atom {
-  color: #F78C6C;
-}
-
-.cm-s-material .cm-number {
-  color: #FF5370;
-}
-
-.cm-s-material .cm-def {
-  color: #82AAFF;
-}
-
-.cm-s-material .cm-string {
-  color: #C3E88D;
-}
-
-.cm-s-material .cm-string-2 {
-  color: #f07178;
-}
-
-.cm-s-material .cm-comment {
-  color: #546E7A;
-}
-
-.cm-s-material .cm-variable {
-  color: #f07178;
-}
-
-.cm-s-material .cm-tag {
-  color: #FF5370;
-}
-
-.cm-s-material .cm-meta {
-  color: #FFCB6B;
-}
-
-.cm-s-material .cm-attribute {
-  color: #C792EA;
-}
-
-.cm-s-material .cm-property {
-  color: #C792EA;
-}
-
-.cm-s-material .cm-qualifier {
-  color: #DECB6B;
-}
-
-.cm-s-material .cm-variable-3,
-.cm-s-material .cm-type {
-  color: #DECB6B;
-}
-
-
-.cm-s-material .cm-error {
-  color: rgba(255, 255, 255, 1.0);
-  background-color: #FF5370;
-}
-
-.cm-s-material .CodeMirror-matchingbracket {
-  text-decoration: underline;
-  color: white !important;
+.CodeMirror-linewidget {
+  position: relative;
+  z-index: 2;
+  padding: 0.1px; /* Force widget margins to stay inside of the container */
 }
-/**
- * "
- *  Using Zenburn color palette from the Emacs Zenburn Theme
- *  https://github.com/bbatsov/zenburn-emacs/blob/master/zenburn-theme.el
- *
- *  Also using parts of https://github.com/xavi/coderay-lighttable-theme
- * "
- * From: https://github.com/wisenomad/zenburn-lighttable-theme/blob/master/zenburn.css
- */
-
-.cm-s-zenburn .CodeMirror-gutters { background: #3f3f3f !important; }
-.cm-s-zenburn .CodeMirror-foldgutter-open, .CodeMirror-foldgutter-folded { color: #999; }
-.cm-s-zenburn .CodeMirror-cursor { border-left: 1px solid white; }
-.cm-s-zenburn { background-color: #3f3f3f; color: #dcdccc; }
-.cm-s-zenburn span.cm-builtin { color: #dcdccc; font-weight: bold; }
-.cm-s-zenburn span.cm-comment { color: #7f9f7f; }
-.cm-s-zenburn span.cm-keyword { color: #f0dfaf; font-weight: bold; }
-.cm-s-zenburn span.cm-atom { color: #bfebbf; }
-.cm-s-zenburn span.cm-def { color: #dcdccc; }
-.cm-s-zenburn span.cm-variable { color: #dfaf8f; }
-.cm-s-zenburn span.cm-variable-2 { color: #dcdccc; }
-.cm-s-zenburn span.cm-string { color: #cc9393; }
-.cm-s-zenburn span.cm-string-2 { color: #cc9393; }
-.cm-s-zenburn span.cm-number { color: #dcdccc; }
-.cm-s-zenburn span.cm-tag { color: #93e0e3; }
-.cm-s-zenburn span.cm-property { color: #dfaf8f; }
-.cm-s-zenburn span.cm-attribute { color: #dfaf8f; }
-.cm-s-zenburn span.cm-qualifier { color: #7cb8bb; }
-.cm-s-zenburn span.cm-meta { color: #f0dfaf; }
-.cm-s-zenburn span.cm-header { color: #f0efd0; }
-.cm-s-zenburn span.cm-operator { color: #f0efd0; }
-.cm-s-zenburn span.CodeMirror-matchingbracket { box-sizing: border-box; background: transparent; border-bottom: 1px solid; }
-.cm-s-zenburn span.CodeMirror-nonmatchingbracket { border-bottom: 1px solid; background: none; }
-.cm-s-zenburn .CodeMirror-activeline { background: #000000; }
-.cm-s-zenburn .CodeMirror-activeline-background { background: #000000; }
-.cm-s-zenburn div.CodeMirror-selected { background: #545454; }
-.cm-s-zenburn .CodeMirror-focused div.CodeMirror-selected { background: #4f4f4f; }
-
-.cm-s-abcdef.CodeMirror { background: #0f0f0f; color: #defdef; }
-.cm-s-abcdef div.CodeMirror-selected { background: #515151; }
-.cm-s-abcdef .CodeMirror-line::selection, .cm-s-abcdef .CodeMirror-line > span::selection, .cm-s-abcdef .CodeMirror-line > span > span::selection { background: rgba(56, 56, 56, 0.99); }
-.cm-s-abcdef .CodeMirror-line::-moz-selection, .cm-s-abcdef .CodeMirror-line > span::-moz-selection, .cm-s-abcdef .CodeMirror-line > span > span::-moz-selection { background: rgba(56, 56, 56, 0.99); }
-.cm-s-abcdef .CodeMirror-gutters { background: #555; border-right: 2px solid #314151; }
-.cm-s-abcdef .CodeMirror-guttermarker { color: #222; }
-.cm-s-abcdef .CodeMirror-guttermarker-subtle { color: azure; }
-.cm-s-abcdef .CodeMirror-linenumber { color: #FFFFFF; }
-.cm-s-abcdef .CodeMirror-cursor { border-left: 1px solid #00FF00; }
-
-.cm-s-abcdef span.cm-keyword { color: darkgoldenrod; font-weight: bold; }
-.cm-s-abcdef span.cm-atom { color: #77F; }
-.cm-s-abcdef span.cm-number { color: violet; }
-.cm-s-abcdef span.cm-def { color: #fffabc; }
-.cm-s-abcdef span.cm-variable { color: #abcdef; }
-.cm-s-abcdef span.cm-variable-2 { color: #cacbcc; }
-.cm-s-abcdef span.cm-variable-3, .cm-s-abcdef span.cm-type { color: #def; }
-.cm-s-abcdef span.cm-property { color: #fedcba; }
-.cm-s-abcdef span.cm-operator { color: #ff0; }
-.cm-s-abcdef span.cm-comment { color: #7a7b7c; font-style: italic;}
-.cm-s-abcdef span.cm-string { color: #2b4; }
-.cm-s-abcdef span.cm-meta { color: #C9F; }
-.cm-s-abcdef span.cm-qualifier { color: #FFF700; }
-.cm-s-abcdef span.cm-builtin { color: #30aabc; }
-.cm-s-abcdef span.cm-bracket { color: #8a8a8a; }
-.cm-s-abcdef span.cm-tag { color: #FFDD44; }
-.cm-s-abcdef span.cm-attribute { color: #DDFF00; }
-.cm-s-abcdef span.cm-error { color: #FF0000; }
-.cm-s-abcdef span.cm-header { color: aquamarine; font-weight: bold; }
-.cm-s-abcdef span.cm-link { color: blueviolet; }
-
-.cm-s-abcdef .CodeMirror-activeline-background { background: #314151; }
-
-/*
-
-    Name:       Base16 Default Light
-    Author:     Chris Kempson (http://chriskempson.com)
-
-    CodeMirror template by Jan T. Sott (https://github.com/idleberg/base16-codemirror)
-    Original Base16 color scheme by Chris Kempson (https://github.com/chriskempson/base16)
-
-*/
-
-.cm-s-base16-light.CodeMirror { background: #f5f5f5; color: #202020; }
-.cm-s-base16-light div.CodeMirror-selected { background: #e0e0e0; }
-.cm-s-base16-light .CodeMirror-line::selection, .cm-s-base16-light .CodeMirror-line > span::selection, .cm-s-base16-light .CodeMirror-line > span > span::selection { background: #e0e0e0; }
-.cm-s-base16-light .CodeMirror-line::-moz-selection, .cm-s-base16-light .CodeMirror-line > span::-moz-selection, .cm-s-base16-light .CodeMirror-line > span > span::-moz-selection { background: #e0e0e0; }
-.cm-s-base16-light .CodeMirror-gutters { background: #f5f5f5; border-right: 0px; }
-.cm-s-base16-light .CodeMirror-guttermarker { color: #ac4142; }
-.cm-s-base16-light .CodeMirror-guttermarker-subtle { color: #b0b0b0; }
-.cm-s-base16-light .CodeMirror-linenumber { color: #b0b0b0; }
-.cm-s-base16-light .CodeMirror-cursor { border-left: 1px solid #505050; }
-
-.cm-s-base16-light span.cm-comment { color: #8f5536; }
-.cm-s-base16-light span.cm-atom { color: #aa759f; }
-.cm-s-base16-light span.cm-number { color: #aa759f; }
-
-.cm-s-base16-light span.cm-property, .cm-s-base16-light span.cm-attribute { color: #90a959; }
-.cm-s-base16-light span.cm-keyword { color: #ac4142; }
-.cm-s-base16-light span.cm-string { color: #f4bf75; }
-
-.cm-s-base16-light span.cm-variable { color: #90a959; }
-.cm-s-base16-light span.cm-variable-2 { color: #6a9fb5; }
-.cm-s-base16-light span.cm-def { color: #d28445; }
-.cm-s-base16-light span.cm-bracket { color: #202020; }
-.cm-s-base16-light span.cm-tag { color: #ac4142; }
-.cm-s-base16-light span.cm-link { color: #aa759f; }
-.cm-s-base16-light span.cm-error { background: #ac4142; color: #505050; }
-
-.cm-s-base16-light .CodeMirror-activeline-background { background: #DDDCDC; }
-.cm-s-base16-light .CodeMirror-matchingbracket { color: #f5f5f5 !important; background-color: #6A9FB5 !important}
-
-/*
-
-    Name:       Base16 Default Dark
-    Author:     Chris Kempson (http://chriskempson.com)
-
-    CodeMirror template by Jan T. Sott (https://github.com/idleberg/base16-codemirror)
-    Original Base16 color scheme by Chris Kempson (https://github.com/chriskempson/base16)
-
-*/
-
-.cm-s-base16-dark.CodeMirror { background: #151515; color: #e0e0e0; }
-.cm-s-base16-dark div.CodeMirror-selected { background: #303030; }
-.cm-s-base16-dark .CodeMirror-line::selection, .cm-s-base16-dark .CodeMirror-line > span::selection, .cm-s-base16-dark .CodeMirror-line > span > span::selection { background: rgba(48, 48, 48, .99); }
-.cm-s-base16-dark .CodeMirror-line::-moz-selection, .cm-s-base16-dark .CodeMirror-line > span::-moz-selection, .cm-s-base16-dark .CodeMirror-line > span > span::-moz-selection { background: rgba(48, 48, 48, .99); }
-.cm-s-base16-dark .CodeMirror-gutters { background: #151515; border-right: 0px; }
-.cm-s-base16-dark .CodeMirror-guttermarker { color: #ac4142; }
-.cm-s-base16-dark .CodeMirror-guttermarker-subtle { color: #505050; }
-.cm-s-base16-dark .CodeMirror-linenumber { color: #505050; }
-.cm-s-base16-dark .CodeMirror-cursor { border-left: 1px solid #b0b0b0; }
-
-.cm-s-base16-dark span.cm-comment { color: #8f5536; }
-.cm-s-base16-dark span.cm-atom { color: #aa759f; }
-.cm-s-base16-dark span.cm-number { color: #aa759f; }
-
-.cm-s-base16-dark span.cm-property, .cm-s-base16-dark span.cm-attribute { color: #90a959; }
-.cm-s-base16-dark span.cm-keyword { color: #ac4142; }
-.cm-s-base16-dark span.cm-string { color: #f4bf75; }
-
-.cm-s-base16-dark span.cm-variable { color: #90a959; }
-.cm-s-base16-dark span.cm-variable-2 { color: #6a9fb5; }
-.cm-s-base16-dark span.cm-def { color: #d28445; }
-.cm-s-base16-dark span.cm-bracket { color: #e0e0e0; }
-.cm-s-base16-dark span.cm-tag { color: #ac4142; }
-.cm-s-base16-dark span.cm-link { color: #aa759f; }
-.cm-s-base16-dark span.cm-error { background: #ac4142; color: #b0b0b0; }
-
-.cm-s-base16-dark .CodeMirror-activeline-background { background: #202020; }
-.cm-s-base16-dark .CodeMirror-matchingbracket { text-decoration: underline; color: white !important; }
-
-/*
 
-    Name:       dracula
-    Author:     Michael Kaminsky (http://github.com/mkaminsky11)
-
-    Original dracula color scheme by Zeno Rocha (https://github.com/zenorocha/dracula-theme)
-
-*/
+.CodeMirror-widget {}
 
+.CodeMirror-rtl pre { direction: rtl; }
 
-.cm-s-dracula.CodeMirror, .cm-s-dracula .CodeMirror-gutters {
-  background-color: #282a36 !important;
-  color: #f8f8f2 !important;
-  border: none;
+.CodeMirror-code {
+  outline: none;
 }
-.cm-s-dracula .CodeMirror-gutters { color: #282a36; }
-.cm-s-dracula .CodeMirror-cursor { border-left: solid thin #f8f8f0; }
-.cm-s-dracula .CodeMirror-linenumber { color: #6D8A88; }
-.cm-s-dracula .CodeMirror-selected { background: rgba(255, 255, 255, 0.10); }
-.cm-s-dracula .CodeMirror-line::selection, .cm-s-dracula .CodeMirror-line > span::selection, .cm-s-dracula .CodeMirror-line > span > span::selection { background: rgba(255, 255, 255, 0.10); }
-.cm-s-dracula .CodeMirror-line::-moz-selection, .cm-s-dracula .CodeMirror-line > span::-moz-selection, .cm-s-dracula .CodeMirror-line > span > span::-moz-selection { background: rgba(255, 255, 255, 0.10); }
-.cm-s-dracula span.cm-comment { color: #6272a4; }
-.cm-s-dracula span.cm-string, .cm-s-dracula span.cm-string-2 { color: #f1fa8c; }
-.cm-s-dracula span.cm-number { color: #bd93f9; }
-.cm-s-dracula span.cm-variable { color: #50fa7b; }
-.cm-s-dracula span.cm-variable-2 { color: white; }
-.cm-s-dracula span.cm-def { color: #50fa7b; }
-.cm-s-dracula span.cm-operator { color: #ff79c6; }
-.cm-s-dracula span.cm-keyword { color: #ff79c6; }
-.cm-s-dracula span.cm-atom { color: #bd93f9; }
-.cm-s-dracula span.cm-meta { color: #f8f8f2; }
-.cm-s-dracula span.cm-tag { color: #ff79c6; }
-.cm-s-dracula span.cm-attribute { color: #50fa7b; }
-.cm-s-dracula span.cm-qualifier { color: #50fa7b; }
-.cm-s-dracula span.cm-property { color: #66d9ef; }
-.cm-s-dracula span.cm-builtin { color: #50fa7b; }
-.cm-s-dracula span.cm-variable-3, .cm-s-dracula span.cm-type { color: #ffb86c; }
-
-.cm-s-dracula .CodeMirror-activeline-background { background: rgba(255,255,255,0.1); }
-.cm-s-dracula .CodeMirror-matchingbracket { text-decoration: underline; color: white !important; }
 
-/*
-
-    Name:       Hopscotch
-    Author:     Jan T. Sott
-
-    CodeMirror template by Jan T. Sott (https://github.com/idleberg/base16-codemirror)
-    Original Base16 color scheme by Chris Kempson (https://github.com/chriskempson/base16)
-
-*/
-
-.cm-s-hopscotch.CodeMirror {background: #322931; color: #d5d3d5;}
-.cm-s-hopscotch div.CodeMirror-selected {background: #433b42 !important;}
-.cm-s-hopscotch .CodeMirror-gutters {background: #322931; border-right: 0px;}
-.cm-s-hopscotch .CodeMirror-linenumber {color: #797379;}
-.cm-s-hopscotch .CodeMirror-cursor {border-left: 1px solid #989498 !important;}
-
-.cm-s-hopscotch span.cm-comment {color: #b33508;}
-.cm-s-hopscotch span.cm-atom {color: #c85e7c;}
-.cm-s-hopscotch span.cm-number {color: #c85e7c;}
-
-.cm-s-hopscotch span.cm-property, .cm-s-hopscotch span.cm-attribute {color: #8fc13e;}
-.cm-s-hopscotch span.cm-keyword {color: #dd464c;}
-.cm-s-hopscotch span.cm-string {color: #fdcc59;}
-
-.cm-s-hopscotch span.cm-variable {color: #8fc13e;}
-.cm-s-hopscotch span.cm-variable-2 {color: #1290bf;}
-.cm-s-hopscotch span.cm-def {color: #fd8b19;}
-.cm-s-hopscotch span.cm-error {background: #dd464c; color: #989498;}
-.cm-s-hopscotch span.cm-bracket {color: #d5d3d5;}
-.cm-s-hopscotch span.cm-tag {color: #dd464c;}
-.cm-s-hopscotch span.cm-link {color: #c85e7c;}
-
-.cm-s-hopscotch .CodeMirror-matchingbracket { text-decoration: underline; color: white !important;}
-.cm-s-hopscotch .CodeMirror-activeline-background { background: #302020; }
-
-/****************************************************************/
-/*   Based on mbonaci's Brackets mbo theme                      */
-/*   https://github.com/mbonaci/global/blob/master/Mbo.tmTheme  */
-/*   Create your own: http://tmtheme-editor.herokuapp.com       */
-/****************************************************************/
-
-.cm-s-mbo.CodeMirror { background: #2c2c2c; color: #ffffec; }
-.cm-s-mbo div.CodeMirror-selected { background: #716C62; }
-.cm-s-mbo .CodeMirror-line::selection, .cm-s-mbo .CodeMirror-line > span::selection, .cm-s-mbo .CodeMirror-line > span > span::selection { background: rgba(113, 108, 98, .99); }
-.cm-s-mbo .CodeMirror-line::-moz-selection, .cm-s-mbo .CodeMirror-line > span::-moz-selection, .cm-s-mbo .CodeMirror-line > span > span::-moz-selection { background: rgba(113, 108, 98, .99); }
-.cm-s-mbo .CodeMirror-gutters { background: #4e4e4e; border-right: 0px; }
-.cm-s-mbo .CodeMirror-guttermarker { color: white; }
-.cm-s-mbo .CodeMirror-guttermarker-subtle { color: grey; }
-.cm-s-mbo .CodeMirror-linenumber { color: #dadada; }
-.cm-s-mbo .CodeMirror-cursor { border-left: 1px solid #ffffec; }
-
-.cm-s-mbo span.cm-comment { color: #95958a; }
-.cm-s-mbo span.cm-atom { color: #00a8c6; }
-.cm-s-mbo span.cm-number { color: #00a8c6; }
-
-.cm-s-mbo span.cm-property, .cm-s-mbo span.cm-attribute { color: #9ddfe9; }
-.cm-s-mbo span.cm-keyword { color: #ffb928; }
-.cm-s-mbo span.cm-string { color: #ffcf6c; }
-.cm-s-mbo span.cm-string.cm-property { color: #ffffec; }
-
-.cm-s-mbo span.cm-variable { color: #ffffec; }
-.cm-s-mbo span.cm-variable-2 { color: #00a8c6; }
-.cm-s-mbo span.cm-def { color: #ffffec; }
-.cm-s-mbo span.cm-bracket { color: #fffffc; font-weight: bold; }
-.cm-s-mbo span.cm-tag { color: #9ddfe9; }
-.cm-s-mbo span.cm-link { color: #f54b07; }
-.cm-s-mbo span.cm-error { border-bottom: #636363; color: #ffffec; }
-.cm-s-mbo span.cm-qualifier { color: #ffffec; }
-
-.cm-s-mbo .CodeMirror-activeline-background { background: #494b41; }
-.cm-s-mbo .CodeMirror-matchingbracket { color: #ffb928 !important; }
-.cm-s-mbo .CodeMirror-matchingtag { background: rgba(255, 255, 255, .37); }
-
-/*
-  MDN-LIKE Theme - Mozilla
-  Ported to CodeMirror by Peter Kroon <plakroon@gmail.com>
-  Report bugs/issues here: https://github.com/codemirror/CodeMirror/issues
-  GitHub: @peterkroon
-
-  The mdn-like theme is inspired on the displayed code examples at: https://developer.mozilla.org/en-US/docs/Web/CSS/animation
-
-*/
-.cm-s-mdn-like.CodeMirror { color: #999; background-color: #fff; }
-.cm-s-mdn-like div.CodeMirror-selected { background: #cfc; }
-.cm-s-mdn-like .CodeMirror-line::selection, .cm-s-mdn-like .CodeMirror-line > span::selection, .cm-s-mdn-like .CodeMirror-line > span > span::selection { background: #cfc; }
-.cm-s-mdn-like .CodeMirror-line::-moz-selection, .cm-s-mdn-like .CodeMirror-line > span::-moz-selection, .cm-s-mdn-like .CodeMirror-line > span > span::-moz-selection { background: #cfc; }
-
-.cm-s-mdn-like .CodeMirror-gutters { background: #f8f8f8; border-left: 6px solid rgba(0,83,159,0.65); color: #333; }
-.cm-s-mdn-like .CodeMirror-linenumber { color: #aaa; padding-left: 8px; }
-.cm-s-mdn-like .CodeMirror-cursor { border-left: 2px solid #222; }
-
-.cm-s-mdn-like .cm-keyword { color: #6262FF; }
-.cm-s-mdn-like .cm-atom { color: #F90; }
-.cm-s-mdn-like .cm-number { color:  #ca7841; }
-.cm-s-mdn-like .cm-def { color: #8DA6CE; }
-.cm-s-mdn-like span.cm-variable-2, .cm-s-mdn-like span.cm-tag { color: #690; }
-.cm-s-mdn-like span.cm-variable-3, .cm-s-mdn-like span.cm-def, .cm-s-mdn-like span.cm-type { color: #07a; }
-
-.cm-s-mdn-like .cm-variable { color: #07a; }
-.cm-s-mdn-like .cm-property { color: #905; }
-.cm-s-mdn-like .cm-qualifier { color: #690; }
-
-.cm-s-mdn-like .cm-operator { color: #cda869; }
-.cm-s-mdn-like .cm-comment { color:#777; font-weight:normal; }
-.cm-s-mdn-like .cm-string { color:#07a; font-style:italic; }
-.cm-s-mdn-like .cm-string-2 { color:#bd6b18; } /*?*/
-.cm-s-mdn-like .cm-meta { color: #000; } /*?*/
-.cm-s-mdn-like .cm-builtin { color: #9B7536; } /*?*/
-.cm-s-mdn-like .cm-tag { color: #997643; }
-.cm-s-mdn-like .cm-attribute { color: #d6bb6d; } /*?*/
-.cm-s-mdn-like .cm-header { color: #FF6400; }
-.cm-s-mdn-like .cm-hr { color: #AEAEAE; }
-.cm-s-mdn-like .cm-link { color:#ad9361; font-style:italic; text-decoration:none; }
-.cm-s-mdn-like .cm-error { border-bottom: 1px solid red; }
-
-div.cm-s-mdn-like .CodeMirror-activeline-background { background: #efefff; }
-div.cm-s-mdn-like span.CodeMirror-matchingbracket { outline:1px solid grey; color: inherit; }
-
-.cm-s-mdn-like.CodeMirror { background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAFcAAAAyCAYAAAAp8UeFAAAHvklEQVR42s2b63bcNgyEQZCSHCdt2vd/0tWF7I+Q6XgMXiTtuvU5Pl57ZQKkKHzEAOtF5KeIJBGJ8uvL599FRFREZhFx8DeXv8trn68RuGaC8TRfo3SNp9dlDDHedyLyTUTeRWStXKPZrjtpZxaRw5hPqozRs1N8/enzIiQRWcCgy4MUA0f+XWliDhyL8Lfyvx7ei/Ae3iQFHyw7U/59pQVIMEEPEz0G7XiwdRjzSfC3UTtz9vchIntxvry5iMgfIhJoEflOz2CQr3F5h/HfeFe+GTdLaKcu9L8LTeQb/R/7GgbsfKedyNdoHsN31uRPWrfZ5wsj/NzzRQHuToIdU3ahwnsKPxXCjJITuOsi7XLc7SG/v5GdALs7wf8JjTFiB5+QvTEfRyGOfX3Lrx8wxyQi3sNq46O7QahQiCsRFgqddjBouVEHOKDgXAQHD9gJCr5sMKkEdjwsarG/ww3BMHBU7OBjXnzdyY7SfCxf5/z6ATccrwlKuwC/jhznnPF4CgVzhhVf4xp2EixcBActO75iZ8/fM9zAs2OMzKdslgXWJ9XG8PQoOAMA5fGcsvORgv0doBXyHrCwfLJAOwo71QLNkb8n2Pl6EWiR7OCibtkPaz4Kc/0NNAze2gju3zOwekALDaCFPI5vjPFmgGY5AZqyGEvH1x7QfIb8YtxMnA/b+QQ0aQDAwc6JMFg8CbQZ4qoYEEHbRwNojuK3EHwd7VALSgq+MNDKzfT58T8qdpADrgW0GmgcAS1lhzztJmkAzcPNOQbsWEALBDSlMKUG0Eq4CLAQWvEVQ9WU57gZJwZtgPO3r9oBTQ9WO8TjqXINx8R0EYpiZEUWOF3FxkbJkgU9B2f41YBrIj5ZfsQa0M5kTgiAAqM3ShXLgu8XMqcrQBvJ0CL5pnTsfMB13oB8athpAq2XOQmcGmoACCLydx7nToa23ATaSIY2ichfOdPTGxlasXMLaL0MLZAOwAKIM+y8CmicobGdCcbbK9DzN+yYGVoNNI5iUKTMyYOjPse4A8SM1MmcXgU0toOq1yO/v8FOxlASyc7TgeYaAMBJHcY1CcCwGI/TK4AmDbDyKYBBtFUkRwto8gygiQEaByFgJ00BH2M8JWwQS1nafDXQCidWyOI8AcjDCSjCLk8ngObuAm3JAHAdubAmOaK06V8MNEsKPJOhobSprwQa6gD7DclRQdqcwL4zxqgBrQcabUiBLclRDKAlWp+etPkBaNMA0AKlrHwTdEByZAA4GM+SNluSY6wAzcMNewxmgig5Ks0nkrSpBvSaQHMdKTBAnLojOdYyGpQ254602ZILPdTD1hdlggdIm74jbTp8vDwF5ZYUeLWGJpWsh6XNyXgcYwVoJQTEhhTYkxzZjiU5npU2TaB979TQehlaAVq4kaGpiPwwwLkYUuBbQwocyQTv1tA0+1UFWoJF3iv1oq+qoSk8EQdJmwHkziIF7oOZk14EGitibAdjLYYK78H5vZOhtWpoI0ATGHs0Q8OMb4Ey+2bU2UYztCtA0wFAs7TplGLRVQCcqaFdGSPCeTI1QNIC52iWNzof6Uib7xjEp07mNNoUYmVosVItHrHzRlLgBn9LFyRHaQCtVUMbtTNhoXWiTOO9k/V8BdAc1Oq0ArSQs6/5SU0hckNy9NnXqQY0PGYo5dWJ7nINaN6o958FWin27aBaWRka1r5myvLOAm0j30eBJqCxHLReVclxhxOEN2JfDWjxBtAC7MIH1fVaGdoOp4qJYDgKtKPSFNID2gSnGldrCqkFZ+5UeQXQBIRrSwocbdZYQT/2LwRahBPBXoHrB8nxaGROST62DKUbQOMMzZIC9abkuELfQzQALWTnDNAm8KHWFOJgJ5+SHIvTPcmx1xQyZRhNL5Qci689aXMEaN/uNIWkEwDAvFpOZmgsBaaGnbs1NPa1Jm32gBZAIh1pCtG7TSH4aE0y1uVY4uqoFPisGlpP2rSA5qTecWn5agK6BzSpgAyD+wFaqhnYoSZ1Vwr8CmlTQbrcO3ZaX0NAEyMbYaAlyquFoLKK3SPby9CeVUPThrSJmkCAE0CrKUQadi4DrdSlWhmah0YL9z9vClH59YGbHx1J8VZTyAjQepJjmXwAKTDQI3omc3p1U4gDUf6RfcdYfrUp5ClAi2J3Ba6UOXGo+K+bQrjjssitG2SJzshaLwMtXgRagUNpYYoVkMSBLM+9GGiJZMvduG6DRZ4qc04DMPtQQxOjEtACmhO7K1AbNbQDEggZyJwscFpAGwENhoBeUwh3bWolhe8BTYVKxQEWrSUn/uhcM5KhvUu/+eQu0Lzhi+VrK0PrZZNDQKs9cpYUuFYgMVpD4/NxenJTiMCNqdUEUf1qZWjppLT5qSkkUZbCwkbZMSuVnu80hfSkzRbQeqCZSAh6huR4VtoM2gHAlLf72smuWgE+VV7XpE25Ab2WFDgyhnSuKbs4GuGzCjR+tIoUuMFg3kgcWKLTwRqanJQ2W00hAsenfaApRC42hbCvK1SlE0HtE9BGgneJO+ELamitD1YjjOYnNYVcraGhtKkW0EqVVeDx733I2NH581k1NNxNLG0i0IJ8/NjVaOZ0tYZ2Vtr0Xv7tPV3hkWp9EFkgS/J0vosngTaSoaG06WHi+xObQkaAdlbanP8B2+2l0f90LmUAAAAASUVORK5CYII=); }
-
-/*
-
-    Name:       seti
-    Author:     Michael Kaminsky (http://github.com/mkaminsky11)
-
-    Original seti color scheme by Jesse Weed (https://github.com/jesseweed/seti-syntax)
+/* Force content-box sizing for the elements where we expect it */
+.CodeMirror-scroll,
+.CodeMirror-sizer,
+.CodeMirror-gutter,
+.CodeMirror-gutters,
+.CodeMirror-linenumber {
+  -moz-box-sizing: content-box;
+  box-sizing: content-box;
+}
 
-*/
+.CodeMirror-measure {
+  position: absolute;
+  width: 100%;
+  height: 0;
+  overflow: hidden;
+  visibility: hidden;
+}
 
+.CodeMirror-cursor {
+  position: absolute;
+  pointer-events: none;
+}
+.CodeMirror-measure pre { position: static; }
 
-.cm-s-seti.CodeMirror {
-  background-color: #151718 !important;
-  color: #CFD2D1 !important;
-  border: none;
+div.CodeMirror-cursors {
+  visibility: hidden;
+  position: relative;
+  z-index: 3;
 }
-.cm-s-seti .CodeMirror-gutters {
-  color: #404b53;
-  background-color: #0E1112;
-  border: none;
+div.CodeMirror-dragcursors {
+  visibility: visible;
 }
-.cm-s-seti .CodeMirror-cursor { border-left: solid thin #f8f8f0; }
-.cm-s-seti .CodeMirror-linenumber { color: #6D8A88; }
-.cm-s-seti.CodeMirror-focused div.CodeMirror-selected { background: rgba(255, 255, 255, 0.10); }
-.cm-s-seti .CodeMirror-line::selection, .cm-s-seti .CodeMirror-line > span::selection, .cm-s-seti .CodeMirror-line > span > span::selection { background: rgba(255, 255, 255, 0.10); }
-.cm-s-seti .CodeMirror-line::-moz-selection, .cm-s-seti .CodeMirror-line > span::-moz-selection, .cm-s-seti .CodeMirror-line > span > span::-moz-selection { background: rgba(255, 255, 255, 0.10); }
-.cm-s-seti span.cm-comment { color: #41535b; }
-.cm-s-seti span.cm-string, .cm-s-seti span.cm-string-2 { color: #55b5db; }
-.cm-s-seti span.cm-number { color: #cd3f45; }
-.cm-s-seti span.cm-variable { color: #55b5db; }
-.cm-s-seti span.cm-variable-2 { color: #a074c4; }
-.cm-s-seti span.cm-def { color: #55b5db; }
-.cm-s-seti span.cm-keyword { color: #ff79c6; }
-.cm-s-seti span.cm-operator { color: #9fca56; }
-.cm-s-seti span.cm-keyword { color: #e6cd69; }
-.cm-s-seti span.cm-atom { color: #cd3f45; }
-.cm-s-seti span.cm-meta { color: #55b5db; }
-.cm-s-seti span.cm-tag { color: #55b5db; }
-.cm-s-seti span.cm-attribute { color: #9fca56; }
-.cm-s-seti span.cm-qualifier { color: #9fca56; }
-.cm-s-seti span.cm-property { color: #a074c4; }
-.cm-s-seti span.cm-variable-3, .cm-s-seti span.cm-type { color: #9fca56; }
-.cm-s-seti span.cm-builtin { color: #9fca56; }
-.cm-s-seti .CodeMirror-activeline-background { background: #101213; }
-.cm-s-seti .CodeMirror-matchingbracket { text-decoration: underline; color: white !important; }
 
-/*
-Solarized theme for code-mirror
-http://ethanschoonover.com/solarized
-*/
+.CodeMirror-focused div.CodeMirror-cursors {
+  visibility: visible;
+}
 
-/*
-Solarized color palette
-http://ethanschoonover.com/solarized/img/solarized-palette.png
-*/
+.CodeMirror-selected { background: #d9d9d9; }
+.CodeMirror-focused .CodeMirror-selected { background: #d7d4f0; }
+.CodeMirror-crosshair { cursor: crosshair; }
+.CodeMirror-line::selection, .CodeMirror-line > span::selection, .CodeMirror-line > span > span::selection { background: #d7d4f0; }
+.CodeMirror-line::-moz-selection, .CodeMirror-line > span::-moz-selection, .CodeMirror-line > span > span::-moz-selection { background: #d7d4f0; }
 
-.solarized.base03 { color: #002b36; }
-.solarized.base02 { color: #073642; }
-.solarized.base01 { color: #586e75; }
-.solarized.base00 { color: #657b83; }
-.solarized.base0 { color: #839496; }
-.solarized.base1 { color: #93a1a1; }
-.solarized.base2 { color: #eee8d5; }
-.solarized.base3  { color: #fdf6e3; }
-.solarized.solar-yellow  { color: #b58900; }
-.solarized.solar-orange  { color: #cb4b16; }
-.solarized.solar-red { color: #dc322f; }
-.solarized.solar-magenta { color: #d33682; }
-.solarized.solar-violet  { color: #6c71c4; }
-.solarized.solar-blue { color: #268bd2; }
-.solarized.solar-cyan { color: #2aa198; }
-.solarized.solar-green { color: #859900; }
-
-/* Color scheme for code-mirror */
-
-.cm-s-solarized {
-  line-height: 1.45em;
-  color-profile: sRGB;
-  rendering-intent: auto;
-}
-.cm-s-solarized.cm-s-dark {
-  color: #839496;
-  background-color: #002b36;
-  text-shadow: #002b36 0 1px;
-}
-.cm-s-solarized.cm-s-light {
-  background-color: #fdf6e3;
-  color: #657b83;
-  text-shadow: #eee8d5 0 1px;
-}
-
-.cm-s-solarized .CodeMirror-widget {
-  text-shadow: none;
-}
-
-.cm-s-solarized .cm-header { color: #586e75; }
-.cm-s-solarized .cm-quote { color: #93a1a1; }
-
-.cm-s-solarized .cm-keyword { color: #cb4b16; }
-.cm-s-solarized .cm-atom { color: #d33682; }
-.cm-s-solarized .cm-number { color: #d33682; }
-.cm-s-solarized .cm-def { color: #2aa198; }
-
-.cm-s-solarized .cm-variable { color: #839496; }
-.cm-s-solarized .cm-variable-2 { color: #b58900; }
-.cm-s-solarized .cm-variable-3, .cm-s-solarized .cm-type { color: #6c71c4; }
-
-.cm-s-solarized .cm-property { color: #2aa198; }
-.cm-s-solarized .cm-operator { color: #6c71c4; }
-
-.cm-s-solarized .cm-comment { color: #586e75; font-style:italic; }
-
-.cm-s-solarized .cm-string { color: #859900; }
-.cm-s-solarized .cm-string-2 { color: #b58900; }
-
-.cm-s-solarized .cm-meta { color: #859900; }
-.cm-s-solarized .cm-qualifier { color: #b58900; }
-.cm-s-solarized .cm-builtin { color: #d33682; }
-.cm-s-solarized .cm-bracket { color: #cb4b16; }
-.cm-s-solarized .CodeMirror-matchingbracket { color: #859900; }
-.cm-s-solarized .CodeMirror-nonmatchingbracket { color: #dc322f; }
-.cm-s-solarized .cm-tag { color: #93a1a1; }
-.cm-s-solarized .cm-attribute { color: #2aa198; }
-.cm-s-solarized .cm-hr {
-  color: transparent;
-  border-top: 1px solid #586e75;
-  display: block;
-}
-.cm-s-solarized .cm-link { color: #93a1a1; cursor: pointer; }
-.cm-s-solarized .cm-special { color: #6c71c4; }
-.cm-s-solarized .cm-em {
-  color: #999;
-  text-decoration: underline;
-  text-decoration-style: dotted;
-}
-.cm-s-solarized .cm-error,
-.cm-s-solarized .cm-invalidchar {
-  color: #586e75;
-  border-bottom: 1px dotted #dc322f;
+.cm-searching {
+  background-color: #ffa;
+  background-color: rgba(255, 255, 0, .4);
 }
 
-.cm-s-solarized.cm-s-dark div.CodeMirror-selected { background: #073642; }
-.cm-s-solarized.cm-s-dark.CodeMirror ::selection { background: rgba(7, 54, 66, 0.99); }
-.cm-s-solarized.cm-s-dark .CodeMirror-line::-moz-selection, .cm-s-dark .CodeMirror-line > span::-moz-selection, .cm-s-dark .CodeMirror-line > span > span::-moz-selection { background: rgba(7, 54, 66, 0.99); }
-
-.cm-s-solarized.cm-s-light div.CodeMirror-selected { background: #eee8d5; }
-.cm-s-solarized.cm-s-light .CodeMirror-line::selection, .cm-s-light .CodeMirror-line > span::selection, .cm-s-light .CodeMirror-line > span > span::selection { background: #eee8d5; }
-.cm-s-solarized.cm-s-light .CodeMirror-line::-moz-selection, .cm-s-ligh .CodeMirror-line > span::-moz-selection, .cm-s-ligh .CodeMirror-line > span > span::-moz-selection { background: #eee8d5; }
+/* Used to force a border model for a node */
+.cm-force-border { padding-right: .1px; }
 
-/* Editor styling */
+@media print {
+  /* Hide the cursor when printing */
+  .CodeMirror div.CodeMirror-cursors {
+    visibility: hidden;
+  }
+}
 
+/* See issue #2901 */
+.cm-tab-wrap-hack:after { content: ''; }
 
+/* Help users use markselection to safely style text background */
+span.CodeMirror-selectedtext { background: none; }
 
-/* Little shadow on the view-port of the buffer view */
-.cm-s-solarized.CodeMirror {
-  -moz-box-shadow: inset 7px 0 12px -6px #000;
-  -webkit-box-shadow: inset 7px 0 12px -6px #000;
-  box-shadow: inset 7px 0 12px -6px #000;
+.CodeMirror-dialog {
+  position: absolute;
+  left: 0; right: 0;
+  background: inherit;
+  z-index: 15;
+  padding: .1em .8em;
+  overflow: hidden;
+  color: inherit;
 }
 
-/* Remove gutter border */
-.cm-s-solarized .CodeMirror-gutters {
-  border-right: 0;
+.CodeMirror-dialog-top {
+  border-bottom: 1px solid #eee;
+  top: 0;
 }
 
-/* Gutter colors and line number styling based of color scheme (dark / light) */
-
-/* Dark */
-.cm-s-solarized.cm-s-dark .CodeMirror-gutters {
-  background-color: #073642;
+.CodeMirror-dialog-bottom {
+  border-top: 1px solid #eee;
+  bottom: 0;
 }
 
-.cm-s-solarized.cm-s-dark .CodeMirror-linenumber {
-  color: #586e75;
-  text-shadow: #021014 0 -1px;
+.CodeMirror-dialog input {
+  border: none;
+  outline: none;
+  background: transparent;
+  width: 20em;
+  color: inherit;
+  font-family: monospace;
 }
 
-/* Light */
-.cm-s-solarized.cm-s-light .CodeMirror-gutters {
-  background-color: #eee8d5;
+.CodeMirror-dialog button {
+  font-size: 70%;
 }
 
-.cm-s-solarized.cm-s-light .CodeMirror-linenumber {
-  color: #839496;
+.CodeMirror-foldmarker {
+  color: blue;
+  text-shadow: #b9f 1px 1px 2px, #b9f -1px -1px 2px, #b9f 1px -1px 2px, #b9f -1px 1px 2px;
+  font-family: arial;
+  line-height: .3;
+  cursor: pointer;
 }
-
-/* Common */
-.cm-s-solarized .CodeMirror-linenumber {
-  padding: 0 5px;
+.CodeMirror-foldgutter {
+  width: .7em;
 }
-.cm-s-solarized .CodeMirror-guttermarker-subtle { color: #586e75; }
-.cm-s-solarized.cm-s-dark .CodeMirror-guttermarker { color: #ddd; }
-.cm-s-solarized.cm-s-light .CodeMirror-guttermarker { color: #cb4b16; }
-
-.cm-s-solarized .CodeMirror-gutter .CodeMirror-gutter-text {
-  color: #586e75;
+.CodeMirror-foldgutter-open,
+.CodeMirror-foldgutter-folded {
+  cursor: pointer;
 }
-
-/* Cursor */
-.cm-s-solarized .CodeMirror-cursor { border-left: 1px solid #819090; }
-
-/* Fat cursor */
-.cm-s-solarized.cm-s-light.cm-fat-cursor .CodeMirror-cursor { background: #77ee77; }
-.cm-s-solarized.cm-s-light .cm-animate-fat-cursor { background-color: #77ee77; }
-.cm-s-solarized.cm-s-dark.cm-fat-cursor .CodeMirror-cursor { background: #586e75; }
-.cm-s-solarized.cm-s-dark .cm-animate-fat-cursor { background-color: #586e75; }
-
-/* Active line */
-.cm-s-solarized.cm-s-dark .CodeMirror-activeline-background {
-  background: rgba(255, 255, 255, 0.06);
+.CodeMirror-foldgutter-open:after {
+  content: "\25BE";
 }
-.cm-s-solarized.cm-s-light .CodeMirror-activeline-background {
-  background: rgba(0, 0, 0, 0.06);
+.CodeMirror-foldgutter-folded:after {
+  content: "\25B8";
 }
 
-.cm-s-the-matrix.CodeMirror { background: #000000; color: #00FF00; }
-.cm-s-the-matrix div.CodeMirror-selected { background: #2D2D2D; }
-.cm-s-the-matrix .CodeMirror-line::selection, .cm-s-the-matrix .CodeMirror-line > span::selection, .cm-s-the-matrix .CodeMirror-line > span > span::selection { background: rgba(45, 45, 45, 0.99); }
-.cm-s-the-matrix .CodeMirror-line::-moz-selection, .cm-s-the-matrix .CodeMirror-line > span::-moz-selection, .cm-s-the-matrix .CodeMirror-line > span > span::-moz-selection { background: rgba(45, 45, 45, 0.99); }
-.cm-s-the-matrix .CodeMirror-gutters { background: #060; border-right: 2px solid #00FF00; }
-.cm-s-the-matrix .CodeMirror-guttermarker { color: #0f0; }
-.cm-s-the-matrix .CodeMirror-guttermarker-subtle { color: white; }
-.cm-s-the-matrix .CodeMirror-linenumber { color: #FFFFFF; }
-.cm-s-the-matrix .CodeMirror-cursor { border-left: 1px solid #00FF00; }
-
-.cm-s-the-matrix span.cm-keyword { color: #008803; font-weight: bold; }
-.cm-s-the-matrix span.cm-atom { color: #3FF; }
-.cm-s-the-matrix span.cm-number { color: #FFB94F; }
-.cm-s-the-matrix span.cm-def { color: #99C; }
-.cm-s-the-matrix span.cm-variable { color: #F6C; }
-.cm-s-the-matrix span.cm-variable-2 { color: #C6F; }
-.cm-s-the-matrix span.cm-variable-3, .cm-s-the-matrix span.cm-type { color: #96F; }
-.cm-s-the-matrix span.cm-property { color: #62FFA0; }
-.cm-s-the-matrix span.cm-operator { color: #999; }
-.cm-s-the-matrix span.cm-comment { color: #CCCCCC; }
-.cm-s-the-matrix span.cm-string { color: #39C; }
-.cm-s-the-matrix span.cm-meta { color: #C9F; }
-.cm-s-the-matrix span.cm-qualifier { color: #FFF700; }
-.cm-s-the-matrix span.cm-builtin { color: #30a; }
-.cm-s-the-matrix span.cm-bracket { color: #cc7; }
-.cm-s-the-matrix span.cm-tag { color: #FFBD40; }
-.cm-s-the-matrix span.cm-attribute { color: #FFF700; }
-.cm-s-the-matrix span.cm-error { color: #FF0000; }
-
-.cm-s-the-matrix .CodeMirror-activeline-background { background: #040; }
-
-/*
-Copyright (C) 2011 by MarkLogic Corporation
-Author: Mike Brevoort <mike@brevoort.com>
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in
-all copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
-THE SOFTWARE.
-*/
-.cm-s-xq-light span.cm-keyword { line-height: 1em; font-weight: bold; color: #5A5CAD; }
-.cm-s-xq-light span.cm-atom { color: #6C8CD5; }
-.cm-s-xq-light span.cm-number { color: #164; }
-.cm-s-xq-light span.cm-def { text-decoration:underline; }
-.cm-s-xq-light span.cm-variable { color: black; }
-.cm-s-xq-light span.cm-variable-2 { color:black; }
-.cm-s-xq-light span.cm-variable-3, .cm-s-xq-light span.cm-type { color: black; }
-.cm-s-xq-light span.cm-property {}
-.cm-s-xq-light span.cm-operator {}
-.cm-s-xq-light span.cm-comment { color: #0080FF; font-style: italic; }
-.cm-s-xq-light span.cm-string { color: red; }
-.cm-s-xq-light span.cm-meta { color: yellow; }
-.cm-s-xq-light span.cm-qualifier { color: grey; }
-.cm-s-xq-light span.cm-builtin { color: #7EA656; }
-.cm-s-xq-light span.cm-bracket { color: #cc7; }
-.cm-s-xq-light span.cm-tag { color: #3F7F7F; }
-.cm-s-xq-light span.cm-attribute { color: #7F007F; }
-.cm-s-xq-light span.cm-error { color: #f00; }
-
-.cm-s-xq-light .CodeMirror-activeline-background { background: #e8f2ff; }
-.cm-s-xq-light .CodeMirror-matchingbracket { outline:1px solid grey;color:black !important;background:yellow; }
-
 /*-----------------------------------------------------------------------------
 | Copyright (c) Jupyter Development Team.
 | Distributed under the terms of the Modified BSD License.
@@ -12021,12 +12006,7 @@ THE SOFTWARE.
   padding: 0 8px;
 }
 
-.jp-CodeMirrorEditor-static {
-  margin: var(--jp-code-padding);
-}
-
-.jp-CodeMirrorEditor,
-.jp-CodeMirrorEditor-static {
+.jp-CodeMirrorEditor {
   cursor: text;
 }
 
@@ -12221,12 +12201,43 @@ THE SOFTWARE.
   background-color: var(--jp-layout-color2);
 }
 
-/*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
+/* Styles for shared cursors (remote cursor locations and selected ranges) */
+.jp-CodeMirrorEditor .remote-caret {
+  position: relative;
+  border-left: 2px solid black;
+  margin-left: -1px;
+  margin-right: -1px;
+  box-sizing: border-box;
+}
+
+.jp-CodeMirrorEditor .remote-caret > div {
+  white-space: nowrap;
+  position: absolute;
+  top: -1.15em;
+  padding-bottom: 0.05em;
+  left: -2px;
+  font-size: 0.95em;
+  background-color: rgb(250, 129, 0);
+  font-family: var(--jp-ui-font-family);
+  font-weight: bold;
+  line-height: normal;
+  user-select: none;
+  color: white;
+  padding-left: 2px;
+  padding-right: 2px;
+  z-index: 3;
+  transition: opacity 0.3s ease-in-out;
+}
+
+.jp-CodeMirrorEditor .remote-caret.hide-name > div {
+  transition-delay: 0.7s;
+  opacity: 0;
+}
 
-/* This file was auto-generated by ensurePackage() in @jupyterlab/buildutils */
+.jp-CodeMirrorEditor .remote-caret:hover > div {
+  opacity: 1;
+  transition-delay: 0s;
+}
 
 /*-----------------------------------------------------------------------------
 | Copyright (c) Jupyter Development Team.
@@ -12237,6 +12248,13 @@ THE SOFTWARE.
 | RenderedText
 |----------------------------------------------------------------------------*/
 
+:root {
+  /* This is the padding value to fill the gaps between lines containing spans with background color. */
+  --jp-private-code-span-padding: calc(
+    (var(--jp-code-line-height) - 1) * var(--jp-code-font-size) / 2
+  );
+}
+
 .jp-RenderedText {
   text-align: left;
   padding-left: var(--jp-code-padding);
@@ -12252,7 +12270,6 @@ THE SOFTWARE.
   border: none;
   margin: 0px;
   padding: 0px;
-  line-height: normal;
 }
 
 .jp-RenderedText pre a:link {
@@ -12296,27 +12313,35 @@ THE SOFTWARE.
 
 .jp-RenderedText pre .ansi-black-bg {
   background-color: #3e424d;
+  padding: var(--jp-private-code-span-padding) 0;
 }
 .jp-RenderedText pre .ansi-red-bg {
   background-color: #e75c58;
+  padding: var(--jp-private-code-span-padding) 0;
 }
 .jp-RenderedText pre .ansi-green-bg {
   background-color: #00a250;
+  padding: var(--jp-private-code-span-padding) 0;
 }
 .jp-RenderedText pre .ansi-yellow-bg {
   background-color: #ddb62b;
+  padding: var(--jp-private-code-span-padding) 0;
 }
 .jp-RenderedText pre .ansi-blue-bg {
   background-color: #208ffb;
+  padding: var(--jp-private-code-span-padding) 0;
 }
 .jp-RenderedText pre .ansi-magenta-bg {
   background-color: #d160c4;
+  padding: var(--jp-private-code-span-padding) 0;
 }
 .jp-RenderedText pre .ansi-cyan-bg {
   background-color: #60c6c8;
+  padding: var(--jp-private-code-span-padding) 0;
 }
 .jp-RenderedText pre .ansi-white-bg {
   background-color: #c5c1b4;
+  padding: var(--jp-private-code-span-padding) 0;
 }
 
 .jp-RenderedText pre .ansi-black-intense-fg {
@@ -12346,27 +12371,35 @@ THE SOFTWARE.
 
 .jp-RenderedText pre .ansi-black-intense-bg {
   background-color: #282c36;
+  padding: var(--jp-private-code-span-padding) 0;
 }
 .jp-RenderedText pre .ansi-red-intense-bg {
   background-color: #b22b31;
+  padding: var(--jp-private-code-span-padding) 0;
 }
 .jp-RenderedText pre .ansi-green-intense-bg {
   background-color: #007427;
+  padding: var(--jp-private-code-span-padding) 0;
 }
 .jp-RenderedText pre .ansi-yellow-intense-bg {
   background-color: #b27d12;
+  padding: var(--jp-private-code-span-padding) 0;
 }
 .jp-RenderedText pre .ansi-blue-intense-bg {
   background-color: #0065ca;
+  padding: var(--jp-private-code-span-padding) 0;
 }
 .jp-RenderedText pre .ansi-magenta-intense-bg {
   background-color: #a03196;
+  padding: var(--jp-private-code-span-padding) 0;
 }
 .jp-RenderedText pre .ansi-cyan-intense-bg {
   background-color: #258f8f;
+  padding: var(--jp-private-code-span-padding) 0;
 }
 .jp-RenderedText pre .ansi-white-intense-bg {
   background-color: #a1a6b2;
+  padding: var(--jp-private-code-span-padding) 0;
 }
 
 .jp-RenderedText pre .ansi-default-inverse-fg {
@@ -12374,6 +12407,7 @@ THE SOFTWARE.
 }
 .jp-RenderedText pre .ansi-default-inverse-bg {
   background-color: var(--jp-inverse-layout-color0);
+  padding: var(--jp-private-code-span-padding) 0;
 }
 
 .jp-RenderedText pre .ansi-bold {
@@ -12795,18 +12829,6 @@ h6:hover .jp-InternalAnchorLink {
 | Distributed under the terms of the Modified BSD License.
 |----------------------------------------------------------------------------*/
 
-/* This file was auto-generated by ensurePackage() in @jupyterlab/buildutils */
-
-/*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
-
-/*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
-
 .jp-MimeDocument {
   outline: none;
 }
@@ -12816,18 +12838,6 @@ h6:hover .jp-InternalAnchorLink {
 | Distributed under the terms of the Modified BSD License.
 |----------------------------------------------------------------------------*/
 
-/* This file was auto-generated by ensurePackage() in @jupyterlab/buildutils */
-
-/*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
-
-/*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
-
 /*-----------------------------------------------------------------------------
 | Variables
 |----------------------------------------------------------------------------*/
@@ -12861,7 +12871,7 @@ h6:hover .jp-InternalAnchorLink {
 
 .jp-BreadCrumbs {
   flex: 0 0 auto;
-  margin: 4px 12px;
+  margin: 8px 12px 8px 12px;
 }
 
 .jp-BreadCrumbs-item {
@@ -12890,18 +12900,63 @@ h6:hover .jp-InternalAnchorLink {
 
 .jp-FileBrowser-toolbar.jp-Toolbar {
   padding: 0px;
+  margin: 8px 12px 0px 12px;
 }
 
 .jp-FileBrowser-toolbar.jp-Toolbar {
-  justify-content: space-evenly;
+  justify-content: flex-start;
 }
 
 .jp-FileBrowser-toolbar.jp-Toolbar .jp-Toolbar-item {
-  flex: 1;
+  flex: 0 0 auto;
+  padding-left: 0px;
+  padding-right: 2px;
 }
 
 .jp-FileBrowser-toolbar.jp-Toolbar .jp-ToolbarButtonComponent {
-  width: 100%;
+  width: 40px;
+}
+
+.jp-FileBrowser-toolbar.jp-Toolbar
+  .jp-Toolbar-item:first-child
+  .jp-ToolbarButtonComponent {
+  width: 72px;
+  background: var(--jp-brand-color1);
+}
+
+.jp-FileBrowser-toolbar.jp-Toolbar
+  .jp-Toolbar-item:first-child
+  .jp-ToolbarButtonComponent:focus-visible {
+  background-color: var(--jp-brand-color0);
+}
+
+.jp-FileBrowser-toolbar.jp-Toolbar
+  .jp-Toolbar-item:first-child
+  .jp-ToolbarButtonComponent
+  .jp-icon3 {
+  fill: white;
+}
+
+/*-----------------------------------------------------------------------------
+| Other styles
+|----------------------------------------------------------------------------*/
+
+.jp-FileDialog.jp-mod-conflict input {
+  color: var(--jp-error-color1);
+}
+
+.jp-FileDialog .jp-new-name-title {
+  margin-top: 12px;
+}
+
+.jp-LastModified-hidden {
+  display: none;
+}
+
+.jp-FileBrowser-filterBox {
+  padding: 0px;
+  flex: 0 0 auto;
+  margin: 8px 12px 0px 12px;
 }
 
 /*-----------------------------------------------------------------------------
@@ -12915,6 +12970,10 @@ h6:hover .jp-InternalAnchorLink {
   outline: 0;
 }
 
+.jp-DirListing:focus-visible {
+  border: 1px solid var(--jp-brand-color1);
+}
+
 .jp-DirListing-header {
   flex: 0 0 auto;
   display: flex;
@@ -12945,6 +13004,19 @@ h6:hover .jp-InternalAnchorLink {
   text-align: right;
 }
 
+.jp-id-narrow {
+  display: none;
+  flex: 0 0 5px;
+  padding: 4px 4px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+  color: var(--jp-border-color2);
+}
+
+.jp-DirListing-narrow .jp-id-narrow {
+  display: block;
+}
+
 .jp-DirListing-narrow .jp-id-modified,
 .jp-DirListing-narrow .jp-DirListing-itemModified {
   display: none;
@@ -12964,6 +13036,16 @@ h6:hover .jp-InternalAnchorLink {
   background-color: var(--jp-layout-color1);
 }
 
+.jp-DirListing-content mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.jp-DirListing-content .jp-DirListing-item.jp-mod-selected mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
 /* Style the directory listing content when a user drops a file to upload */
 .jp-DirListing.jp-mod-native-drop .jp-DirListing-content {
   outline: 5px dashed rgba(128, 128, 128, 0.5);
@@ -12981,8 +13063,12 @@ h6:hover .jp-InternalAnchorLink {
   user-select: none;
 }
 
+.jp-DirListing-item[data-is-dot] {
+  opacity: 75%;
+}
+
 .jp-DirListing-item.jp-mod-selected {
-  color: white;
+  color: var(--jp-ui-inverse-font-color1);
   background: var(--jp-brand-color1);
 }
 
@@ -13019,13 +13105,18 @@ h6:hover .jp-InternalAnchorLink {
 }
 
 .jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon:before {
-  color: limegreen;
+  color: var(--jp-success-color1);
   content: '\25CF';
   font-size: 8px;
   position: absolute;
   left: -8px;
 }
 
+.jp-DirListing-item.jp-mod-running.jp-mod-selected
+  .jp-DirListing-itemIcon:before {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
 .jp-DirListing-item.lm-mod-drag-image,
 .jp-DirListing-item.jp-mod-selected.lm-mod-drag-image {
   font-size: var(--jp-ui-font-size1);
@@ -13054,21 +13145,6 @@ h6:hover .jp-InternalAnchorLink {
   outline: none;
 }
 
-.jp-FileDialog.jp-mod-conflict input {
-  color: red;
-}
-
-.jp-FileDialog .jp-new-name-title {
-  margin-top: 12px;
-}
-
-/*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
-
-/* This file was auto-generated by ensurePackage() in @jupyterlab/buildutils */
-
 /*-----------------------------------------------------------------------------
 | Copyright (c) Jupyter Development Team.
 | Distributed under the terms of the Modified BSD License.
@@ -13095,6 +13171,10 @@ h6:hover .jp-InternalAnchorLink {
   flex-direction: row;
 }
 
+body[data-format='mobile'] .jp-OutputArea-child {
+  flex-direction: column;
+}
+
 .jp-OutputPrompt {
   flex: 0 0 var(--jp-cell-prompt-width);
   color: var(--jp-cell-outprompt-font-color);
@@ -13117,6 +13197,11 @@ h6:hover .jp-InternalAnchorLink {
   user-select: none;
 }
 
+body[data-format='mobile'] .jp-OutputPrompt {
+  flex: 0 0 auto;
+  text-align: left;
+}
+
 .jp-OutputArea-output {
   height: auto;
   overflow: auto;
@@ -13131,6 +13216,10 @@ h6:hover .jp-InternalAnchorLink {
   flex-shrink: 1;
 }
 
+body[data-format='mobile'] .jp-OutputArea-child .jp-OutputArea-output {
+  margin-left: var(--jp-notebook-padding);
+}
+
 /**
  * Isolated output.
  */
@@ -13227,8 +13316,12 @@ body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated:before {
   flex: 1 1 auto;
 }
 
-.jp-OutputArea-executeResult.jp-RenderedText {
+/* Text output with the Out[] prompt needs a top padding to match the
+ * alignment of the Out[] prompt itself.
+ */
+.jp-OutputArea-executeResult .jp-RenderedText.jp-OutputArea-output {
   padding-top: var(--jp-code-padding);
+  border-top: var(--jp-border-width) solid transparent;
 }
 
 /*-----------------------------------------------------------------------------
@@ -13285,13 +13378,6 @@ body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated:before {
 | Distributed under the terms of the Modified BSD License.
 |----------------------------------------------------------------------------*/
 
-/* This file was auto-generated by ensurePackage() in @jupyterlab/buildutils */
-
-/*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
-
 .jp-Collapser {
   flex: 0 0 var(--jp-cell-collapser-width);
   padding: 0px;
@@ -13347,10 +13433,16 @@ body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated:before {
 .jp-InputArea {
   display: flex;
   flex-direction: row;
+  overflow: hidden;
+}
+
+body[data-format='mobile'] .jp-InputArea {
+  flex-direction: column;
 }
 
 .jp-InputArea-editor {
   flex: 1 1 auto;
+  overflow: hidden;
 }
 
 .jp-InputArea-editor {
@@ -13360,6 +13452,10 @@ body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated:before {
   background: var(--jp-cell-editor-background);
 }
 
+body[data-format='mobile'] .jp-InputArea-editor {
+  margin-left: var(--jp-notebook-padding);
+}
+
 .jp-InputPrompt {
   flex: 0 0 var(--jp-cell-prompt-width);
   color: var(--jp-cell-inprompt-font-color);
@@ -13383,6 +13479,11 @@ body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated:before {
   user-select: none;
 }
 
+body[data-format='mobile'] .jp-InputPrompt {
+  flex: 0 0 auto;
+  text-align: left;
+}
+
 /*-----------------------------------------------------------------------------
 | Copyright (c) Jupyter Development Team.
 | Distributed under the terms of the Modified BSD License.
@@ -13493,13 +13594,6 @@ body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated:before {
   margin-top: 5px;
 }
 
-/* Text output with the Out[] prompt needs a top padding to match the
- * alignment of the Out[] prompt itself.
- */
-.jp-OutputArea-executeResult .jp-RenderedText.jp-OutputArea-output {
-  padding-top: var(--jp-code-padding);
-}
-
 .jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea {
   overflow-y: auto;
   max-height: 200px;
@@ -13534,18 +13628,36 @@ body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated:before {
   overflow: auto;
 }
 
-/*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
+.jp-showHiddenCellsButton {
+  margin-left: calc(var(--jp-cell-prompt-width) + 2 * var(--jp-code-padding));
+  margin-top: var(--jp-code-padding);
+  border: 1px solid var(--jp-border-color2);
+  background-color: var(--jp-border-color3) !important;
+  color: var(--jp-content-font-color0) !important;
+}
+
+.jp-showHiddenCellsButton:hover {
+  background-color: var(--jp-border-color2) !important;
+}
+
+.jp-collapseHeadingButton {
+  display: none;
+}
+
+.jp-MarkdownCell:hover .jp-collapseHeadingButton {
+  display: flex;
+  min-height: var(--jp-cell-collapser-min-height);
+  position: absolute;
+  right: 0;
+  top: 0;
+  bottom: 0;
+}
 
 /*-----------------------------------------------------------------------------
 | Copyright (c) Jupyter Development Team.
 | Distributed under the terms of the Modified BSD License.
 |----------------------------------------------------------------------------*/
 
-/* This file was auto-generated by ensurePackage() in @jupyterlab/buildutils */
-
 /*-----------------------------------------------------------------------------
 | Copyright (c) Jupyter Development Team.
 | Distributed under the terms of the Modified BSD License.
@@ -13629,12 +13741,21 @@ body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated:before {
   min-height: var(--jp-notebook-scroll-padding);
 }
 
+.jp-MainAreaWidget-ContainStrict .jp-Notebook * {
+  contain: strict;
+}
+
+.jp-Notebook-render * {
+  contain: none !important;
+}
+
 .jp-Notebook .jp-Cell {
   overflow: visible;
 }
 
 .jp-Notebook .jp-Cell .jp-InputPrompt {
   cursor: move;
+  float: left;
 }
 
 /*-----------------------------------------------------------------------------
@@ -13670,6 +13791,19 @@ body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated:before {
   background: var(--jp-brand-color1);
 }
 
+/* cell is dirty */
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt {
+  color: var(--jp-warn-color1);
+}
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt:before {
+  color: var(--jp-warn-color1);
+  content: '•';
+}
+
+.jp-Notebook .jp-Cell.jp-mod-active.jp-mod-dirty .jp-Collapser {
+  background: var(--jp-warn-color1);
+}
+
 /* collapser is hovered */
 .jp-Notebook .jp-Cell .jp-Collapser:hover {
   box-shadow: var(--jp-elevation-z2);
@@ -13719,7 +13853,7 @@ body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated:before {
 }
 
 .jp-dragImage {
-  display: flex;
+  display: block;
   flex-direction: row;
   width: var(--jp-private-notebook-dragImage-width);
   height: var(--jp-private-notebook-dragImage-height);
@@ -13831,6 +13965,15 @@ body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated:before {
   line-height: 1.4;
 }
 
+.jp-NotebookTools .jp-select-wrapper {
+  margin-top: 4px;
+  margin-bottom: 0px;
+}
+
+.jp-NotebookTools .jp-Collapse {
+  margin-top: 16px;
+}
+
 /*-----------------------------------------------------------------------------
 | Presentation Mode (.jp-mod-presentationMode)
 |----------------------------------------------------------------------------*/
@@ -13846,16 +13989,87 @@ body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated:before {
 }
 
 /*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
+| Placeholder
 |----------------------------------------------------------------------------*/
 
-/* This file was auto-generated by ensurePackage() in @jupyterlab/buildutils */
+.jp-Cell-Placeholder {
+  padding-left: 55px;
+}
+
+.jp-Cell-Placeholder-wrapper {
+  background: #fff;
+  border: 1px solid;
+  border-color: #e5e6e9 #dfe0e4 #d0d1d5;
+  border-radius: 4px;
+  -webkit-border-radius: 4px;
+  margin: 10px 15px;
+}
 
-/*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
+.jp-Cell-Placeholder-wrapper-inner {
+  padding: 15px;
+  position: relative;
+}
+
+.jp-Cell-Placeholder-wrapper-body {
+  background-repeat: repeat;
+  background-size: 50% auto;
+}
+
+.jp-Cell-Placeholder-wrapper-body div {
+  background: #f6f7f8;
+  background-image: -webkit-linear-gradient(
+    left,
+    #f6f7f8 0%,
+    #edeef1 20%,
+    #f6f7f8 40%,
+    #f6f7f8 100%
+  );
+  background-repeat: no-repeat;
+  background-size: 800px 104px;
+  height: 104px;
+  position: relative;
+}
+
+.jp-Cell-Placeholder-wrapper-body div {
+  position: absolute;
+  right: 15px;
+  left: 15px;
+  top: 15px;
+}
+
+div.jp-Cell-Placeholder-h1 {
+  top: 20px;
+  height: 20px;
+  left: 15px;
+  width: 150px;
+}
+
+div.jp-Cell-Placeholder-h2 {
+  left: 15px;
+  top: 50px;
+  height: 10px;
+  width: 100px;
+}
+
+div.jp-Cell-Placeholder-content-1,
+div.jp-Cell-Placeholder-content-2,
+div.jp-Cell-Placeholder-content-3 {
+  left: 15px;
+  right: 15px;
+  height: 10px;
+}
+
+div.jp-Cell-Placeholder-content-1 {
+  top: 100px;
+}
+
+div.jp-Cell-Placeholder-content-2 {
+  top: 120px;
+}
+
+div.jp-Cell-Placeholder-content-3 {
+  top: 140px;
+}
 
 </style>
 
@@ -14079,36 +14293,36 @@ all of MD as it is not optimized for dense, information rich UIs.
 
   /* Brand/accent */
 
-  --jp-brand-color0: var(--md-blue-700);
-  --jp-brand-color1: var(--md-blue-500);
+  --jp-brand-color0: var(--md-blue-900);
+  --jp-brand-color1: var(--md-blue-700);
   --jp-brand-color2: var(--md-blue-300);
   --jp-brand-color3: var(--md-blue-100);
   --jp-brand-color4: var(--md-blue-50);
 
-  --jp-accent-color0: var(--md-green-700);
-  --jp-accent-color1: var(--md-green-500);
+  --jp-accent-color0: var(--md-green-900);
+  --jp-accent-color1: var(--md-green-700);
   --jp-accent-color2: var(--md-green-300);
   --jp-accent-color3: var(--md-green-100);
 
   /* State colors (warn, error, success, info) */
 
-  --jp-warn-color0: var(--md-orange-700);
-  --jp-warn-color1: var(--md-orange-500);
+  --jp-warn-color0: var(--md-orange-900);
+  --jp-warn-color1: var(--md-orange-700);
   --jp-warn-color2: var(--md-orange-300);
   --jp-warn-color3: var(--md-orange-100);
 
-  --jp-error-color0: var(--md-red-700);
-  --jp-error-color1: var(--md-red-500);
+  --jp-error-color0: var(--md-red-900);
+  --jp-error-color1: var(--md-red-700);
   --jp-error-color2: var(--md-red-300);
   --jp-error-color3: var(--md-red-100);
 
-  --jp-success-color0: var(--md-green-700);
-  --jp-success-color1: var(--md-green-500);
+  --jp-success-color0: var(--md-green-900);
+  --jp-success-color1: var(--md-green-700);
   --jp-success-color2: var(--md-green-300);
   --jp-success-color3: var(--md-green-100);
 
-  --jp-info-color0: var(--md-cyan-700);
-  --jp-info-color1: var(--md-cyan-500);
+  --jp-info-color0: var(--md-cyan-900);
+  --jp-info-color1: var(--md-cyan-700);
   --jp-info-color2: var(--md-cyan-300);
   --jp-info-color3: var(--md-cyan-100);
 
@@ -14127,7 +14341,7 @@ all of MD as it is not optimized for dense, information rich UIs.
   --jp-cell-editor-active-border-color: var(--jp-brand-color1);
 
   --jp-cell-prompt-width: 64px;
-  --jp-cell-prompt-font-family: 'Source Code Pro', monospace;
+  --jp-cell-prompt-font-family: var(--jp-code-font-family-default);
   --jp-cell-prompt-letter-spacing: 0px;
   --jp-cell-prompt-opacity: 1;
   --jp-cell-prompt-not-active-opacity: 0.5;
@@ -14179,6 +14393,10 @@ all of MD as it is not optimized for dense, information rich UIs.
   --jp-toolbar-header-margin: 4px 4px 0px 4px;
   --jp-toolbar-active-background: var(--md-grey-300);
 
+  /* Statusbar specific styles */
+
+  --jp-statusbar-height: 24px;
+
   /* Input field styles */
 
   --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);
@@ -14228,7 +14446,7 @@ all of MD as it is not optimized for dense, information rich UIs.
 
   /* Sidebar-related styles */
 
-  --jp-sidebar-min-width: 180px;
+  --jp-sidebar-min-width: 250px;
 
   /* Search-related styles */
 
@@ -14278,6 +14496,9 @@ a.anchor-link {
 .reveal {
   font-size: 160%;
 }
+.reveal table {
+  font-size: var(--jp-ui-font-size1);
+}
 .reveal pre {
   width: inherit;
   padding: 0.4em;
@@ -14293,11 +14514,6 @@ a.anchor-link {
   border: 0px solid black;
   box-shadow: 0 0 10px rgba(0, 0, 0, 0);
 }
-.reveal i {
-  font-style: normal;
-  font-family: FontAwesome;
-  font-size: 2em;
-}
 .reveal .slides {
   text-align: left;
 }
@@ -14326,6 +14542,23 @@ div.jp-OutputPrompt {
   margin: 5px 5px 0 0;
 }
 
+.reveal div.highlight {
+  margin: 0;
+}
+
+.reveal div.highlight > pre {
+  margin: 0;
+  width: 100%;
+  font-size: var(--jp-code-font-size);
+}
+
+.reveal div.jp-OutputArea-output > pre {
+  margin: 0;
+  width: 90%;
+  font-size: var(--jp-code-font-size);
+  box-shadow: none;
+}
+
 /* Reveal navigation controls */
 
 .reveal .controls .navigate-left,
@@ -14366,34 +14599,81 @@ div.jp-OutputPrompt {
 
 /* Scrollbars */
 
-::-webkit-scrollbar
-{
+::-webkit-scrollbar {
   width: 6px;
   height: 6px;
 }
-::-webkit-scrollbar *
-{
-  background:transparent;
+::-webkit-scrollbar * {
+  background: transparent;
 }
-::-webkit-scrollbar-thumb
-{
+::-webkit-scrollbar-thumb {
   background: #727272 !important;
 }
 </style>
 
+<!-- Load mathjax -->
+    
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/latest.js?config=TeX-AMS_CHTML-full,Safe"> </script>
+    <!-- MathJax configuration -->
+    <script type="text/x-mathjax-config">
+    init_mathjax = function() {
+        if (window.MathJax) {
+        // MathJax loaded
+            MathJax.Hub.Config({
+                TeX: {
+                    equationNumbers: {
+                    autoNumber: "AMS",
+                    useLabelIds: true
+                    }
+                },
+                tex2jax: {
+                    inlineMath: [ ['$','$'], ["\\(","\\)"] ],
+                    displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
+                    processEscapes: true,
+                    processEnvironments: true
+                },
+                displayAlign: 'center',
+                CommonHTML: {
+                    linebreaks: {
+                    automatic: true
+                    }
+                }
+            });
+
+            MathJax.Hub.Queue(["Typeset", MathJax.Hub]);
+        }
+    }
+    init_mathjax();
+    </script>
+    <!-- End of mathjax configuration --><!-- Reveal Theme -->
+<link rel="stylesheet" href="fzj-reveal.js/reveal.js/dist/theme/simple.css" id="theme">
+<link rel="stylesheet" href="fzj-reveal.js/custom.css" id="custom">
+<link rel="stylesheet" href="custom.css" id="custom">
+
 </head>
 
 <body class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light">
 
 <div class="reveal">
 <div class="slides"><section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_task" data-mime-type="text/markdown">
-<h1 id="Data-Analysis-and-Plotting-in-Python-with-Pandas">Data Analysis and Plotting in Python with Pandas<a class="anchor-link" href="#Data-Analysis-and-Plotting-in-Python-with-Pandas">&#182;</a></h1><p><em>Andreas Herten, Jülich Supercomputing Centre, Forschungszentrum Jülich, 2 June 2021</em></p>
+<h1 id="Data-Analysis-and-Plotting-in-Python-with-Pandas">Data Analysis and Plotting in Python with Pandas<a class="anchor-link" href="#Data-Analysis-and-Plotting-in-Python-with-Pandas">&#182;</a></h1><p><em>Andreas Herten, Jülich Supercomputing Centre, Forschungszentrum Jülich, 2 May 2022</em></p>
+<p><span style="color: var(--color-fzjorange)">JSC-internal Special Edition</span></p>
 
+</div>
+</div>
 </div>
 </div></section></section><section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h2 id="My-Motivation">My Motivation<a class="anchor-link" href="#My-Motivation">&#182;</a></h2><ul>
 <li>I like Python</li>
@@ -14404,9 +14684,15 @@ div.jp-OutputPrompt {
 </ul>
 <p><span style="color: #023d6b"><em>Motto: <strong>»Pandas as early as possible!«</strong></em></span></p>
 
+</div>
+</div>
 </div>
 </div><div class="fragment">
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h2 id="Task-Outline">Task Outline<a class="anchor-link" href="#Task-Outline">&#182;</a></h2><ul>
 <li><a href="#task1">Task 1</a></li>
@@ -14419,9 +14705,15 @@ div.jp-OutputPrompt {
 <li><a href="#task7b">Task 7B</a></li>
 </ul>
 
+</div>
+</div>
 </div>
 </div></div></section></section><section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h2 id="Tutorial-Setup">Tutorial Setup<a class="anchor-link" href="#Tutorial-Setup">&#182;</a></h2><ul>
 <li>3½ hours, including break around 10:30</li>
@@ -14429,18 +14721,30 @@ div.jp-OutputPrompt {
 <li>Please give status of hands-ons via 👍 as BigBlueButton status</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="fragment">
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
-<li>Please now open Jupyter Notebook of this session: <a href="https://go.fzj.de/jsc-pd21">https://go.fzj.de/jsc-pd21</a></li>
+<li>Please now open Jupyter Notebook of this session: <a href="https://go.fzj.de/jsc-pd22">https://go.fzj.de/jsc-pd22</a></li>
 <li>Give thumbs up! 👍</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div></div></section></section><section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h2 id="About-Pandas">About Pandas<a class="anchor-link" href="#About-Pandas">&#182;</a></h2><p><img style="float: right; max-width: 200px;" width="200px" src="img/adorable-animal-animal-photography-1661535.jpg" /></p>
 <ul>
@@ -14454,9 +14758,15 @@ div.jp-OutputPrompt {
 <li><em>Cheatsheet: <a href="https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf">https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf</a></em></li>
 </ul>
 
+</div>
+</div>
 </div>
 </div></section></section><section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h2 id="Pandas-Cohabitation">Pandas Cohabitation<a class="anchor-link" href="#Pandas-Cohabitation">&#182;</a></h2><ul>
 <li>Pandas works great together with other established Python tools<ul>
@@ -14471,14 +14781,24 @@ div.jp-OutputPrompt {
 <li>Tools building up on Pandas: <a href="https://github.com/rapidsai/cudf">cuDF</a> (GPU-accelerated DataFrames in <a href="https://rapids.ai/">Rapids</a>), …</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div></section></section><section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h2 id="First-Steps">First Steps<a class="anchor-link" href="#First-Steps">&#182;</a></h2>
 </div>
+</div>
+</div>
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
 <div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[1]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
@@ -14493,6 +14813,8 @@ div.jp-OutputPrompt {
 
 </div></div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
 <div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[2]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
@@ -14507,6 +14829,8 @@ div.jp-OutputPrompt {
 
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
 <div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[3]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
@@ -14520,6 +14844,8 @@ div.jp-OutputPrompt {
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -14533,7 +14859,7 @@ div.jp-OutputPrompt {
 
 
 <div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
-<pre>&#39;1.2.4&#39;</pre>
+<pre>&#39;1.4.2&#39;</pre>
 </div>
 
 </div>
@@ -14544,6 +14870,8 @@ div.jp-OutputPrompt {
 
 </div></div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
 <div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[4]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
@@ -14557,6 +14885,8 @@ div.jp-OutputPrompt {
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -14617,7 +14947,11 @@ div.jp-OutputPrompt {
 </div>
 
 </div></div></section></section><section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h2 id="DataFrames">DataFrames<a class="anchor-link" href="#DataFrames">&#182;</a></h2><h3 id="It's-all-about-DataFrames">It's all about DataFrames<a class="anchor-link" href="#It's-all-about-DataFrames">&#182;</a></h3><p><img style="float: right; max-width: 200px;" width="200px" src="img/buzz-dataframes.jpg" /></p>
 <ul>
@@ -14630,9 +14964,15 @@ div.jp-OutputPrompt {
 <li>→ We use <code>DataFrame</code>s as the more general case here</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div></section></section><section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h2 id="DataFrames">DataFrames<a class="anchor-link" href="#DataFrames">&#182;</a></h2><h3 id="Construction">Construction<a class="anchor-link" href="#Construction">&#182;</a></h3><ul>
 <li>To show features of <code>DataFrame</code>, let's construct one and show by example!</li>
@@ -14646,14 +14986,24 @@ div.jp-OutputPrompt {
 </li>
 </ul>
 
+</div>
+</div>
 </div>
 </div></section></section><section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h2 id="DataFrames">DataFrames<a class="anchor-link" href="#DataFrames">&#182;</a></h2><h3 id="Examples,-finally">Examples, finally<a class="anchor-link" href="#Examples,-finally">&#182;</a></h3>
 </div>
+</div>
+</div>
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
 <div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[5]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
@@ -14668,6 +15018,8 @@ div.jp-OutputPrompt {
 
 </div></div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
 <div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[6]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
@@ -14681,6 +15033,8 @@ div.jp-OutputPrompt {
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -14768,6 +15122,8 @@ div.jp-OutputPrompt {
 
 </div></div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
 <div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[7]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
@@ -14782,6 +15138,8 @@ div.jp-OutputPrompt {
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -14840,17 +15198,25 @@ div.jp-OutputPrompt {
 </div>
 
 </div></div></section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li>Let's add names to ages; put everything into a <code>dict()</code></li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[8]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[7]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">data</span> <span class="o">=</span> <span class="p">{</span>
@@ -14866,6 +15232,8 @@ div.jp-OutputPrompt {
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -14888,8 +15256,10 @@ div.jp-OutputPrompt {
 
 </div></div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[9]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[8]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_sample</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
@@ -14902,6 +15272,8 @@ div.jp-OutputPrompt {
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -14909,7 +15281,7 @@ div.jp-OutputPrompt {
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[9]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[8]:</div>
 
 
 
@@ -14969,18 +15341,26 @@ div.jp-OutputPrompt {
 </div>
 
 </div></div><div class="fragment">
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li>Automatically creates columns from dictionary</li>
 <li>Two columns now; one for names, one for ages</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[10]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[9]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_sample</span><span class="o">.</span><span class="n">columns</span>
@@ -14992,6 +15372,8 @@ div.jp-OutputPrompt {
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -14999,7 +15381,7 @@ div.jp-OutputPrompt {
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[10]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[9]:</div>
 
 
 
@@ -15015,18 +15397,26 @@ div.jp-OutputPrompt {
 </div>
 
 </div></div></section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li>First column is <em>index</em></li>
 <li><code>DataFrame</code> always have indexes; auto-generated or custom</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[11]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[10]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_sample</span><span class="o">.</span><span class="n">index</span>
@@ -15038,6 +15428,8 @@ div.jp-OutputPrompt {
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -15045,7 +15437,7 @@ div.jp-OutputPrompt {
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[11]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[10]:</div>
 
 
 
@@ -15061,18 +15453,26 @@ div.jp-OutputPrompt {
 </div>
 
 </div><div class="fragment">
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li>Make <code>Name</code> be index with <code>.set_index()</code></li>
 <li><code>inplace=True</code> will modifiy the parent frame (<em>I don't like it</em>)</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div></div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[12]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[11]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_sample</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s2">&quot;Name&quot;</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
@@ -15085,6 +15485,8 @@ div.jp-OutputPrompt {
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -15092,7 +15494,7 @@ div.jp-OutputPrompt {
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[12]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[11]:</div>
 
 
 
@@ -15175,17 +15577,25 @@ div.jp-OutputPrompt {
 </div>
 
 </div></div></section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li>Some more operations</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[13]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[12]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_sample</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
@@ -15197,6 +15607,8 @@ div.jp-OutputPrompt {
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -15204,7 +15616,7 @@ div.jp-OutputPrompt {
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[13]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[12]:</div>
 
 
 
@@ -15276,8 +15688,10 @@ div.jp-OutputPrompt {
 
 </div></div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[14]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[13]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_sample</span><span class="o">.</span><span class="n">T</span>
@@ -15289,6 +15703,8 @@ div.jp-OutputPrompt {
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -15296,7 +15712,7 @@ div.jp-OutputPrompt {
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[14]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[13]:</div>
 
 
 
@@ -15358,8 +15774,10 @@ div.jp-OutputPrompt {
 
 </div></div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[15]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[14]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_sample</span><span class="o">.</span><span class="n">T</span><span class="o">.</span><span class="n">columns</span>
@@ -15371,6 +15789,8 @@ div.jp-OutputPrompt {
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -15378,7 +15798,7 @@ div.jp-OutputPrompt {
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[15]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[14]:</div>
 
 
 
@@ -15396,17 +15816,25 @@ div.jp-OutputPrompt {
 </div>
 
 </div></div></section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li>Also: Arithmetic operations</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[16]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[15]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_sample</span><span class="o">.</span><span class="n">multiply</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">3</span><span class="p">)</span>
@@ -15418,6 +15846,8 @@ div.jp-OutputPrompt {
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -15425,7 +15855,7 @@ div.jp-OutputPrompt {
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[16]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[15]:</div>
 
 
 
@@ -15481,8 +15911,10 @@ div.jp-OutputPrompt {
 
 </div></div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[17]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[16]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_sample</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()</span><span class="o">.</span><span class="n">multiply</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">3</span><span class="p">)</span>
@@ -15494,6 +15926,8 @@ div.jp-OutputPrompt {
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -15501,7 +15935,7 @@ div.jp-OutputPrompt {
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[17]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[16]:</div>
 
 
 
@@ -15557,8 +15991,10 @@ div.jp-OutputPrompt {
 
 </div></div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[18]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[17]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="p">(</span><span class="n">df_sample</span> <span class="o">/</span> <span class="mi">2</span><span class="p">)</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">3</span><span class="p">)</span>
@@ -15570,6 +16006,8 @@ div.jp-OutputPrompt {
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -15577,7 +16015,7 @@ div.jp-OutputPrompt {
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[18]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[17]:</div>
 
 
 
@@ -15633,8 +16071,10 @@ div.jp-OutputPrompt {
 
 </div></div></section><section><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[19]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[18]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="p">(</span><span class="n">df_sample</span> <span class="o">*</span> <span class="n">df_sample</span><span class="p">)</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">3</span><span class="p">)</span>
@@ -15646,6 +16086,8 @@ div.jp-OutputPrompt {
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -15653,7 +16095,7 @@ div.jp-OutputPrompt {
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[19]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[18]:</div>
 
 
 
@@ -15709,8 +16151,10 @@ div.jp-OutputPrompt {
 
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[20]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[19]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">mysquare</span><span class="p">(</span><span class="n">number</span><span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span><span class="p">:</span>
@@ -15726,6 +16170,8 @@ div.jp-OutputPrompt {
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -15733,7 +16179,7 @@ div.jp-OutputPrompt {
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[20]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[19]:</div>
 
 
 
@@ -15797,8 +16243,10 @@ div.jp-OutputPrompt {
 
 </div></div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[22]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[21]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_sample</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">square</span><span class="p">)</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
@@ -15810,6 +16258,8 @@ div.jp-OutputPrompt {
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -15817,7 +16267,7 @@ div.jp-OutputPrompt {
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[22]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[21]:</div>
 
 
 
@@ -15880,15 +16330,23 @@ div.jp-OutputPrompt {
 </div>
 
 </div></div></section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <p>Logical operations allowed as well</p>
 
+</div>
+</div>
 </div>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[23]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[22]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_sample</span> <span class="o">&gt;</span> <span class="mi">40</span>
@@ -15900,6 +16358,8 @@ div.jp-OutputPrompt {
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -15907,7 +16367,7 @@ div.jp-OutputPrompt {
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[23]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[22]:</div>
 
 
 
@@ -15991,8 +16451,10 @@ div.jp-OutputPrompt {
 
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[24]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[23]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_sample</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="n">mysquare</span><span class="p">)</span><span class="o">.</span><span class="n">head</span><span class="p">()</span> <span class="o">==</span> <span class="n">df_sample</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">*</span><span class="n">x</span><span class="p">)</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
@@ -16004,6 +16466,8 @@ div.jp-OutputPrompt {
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -16011,7 +16475,7 @@ div.jp-OutputPrompt {
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[24]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[23]:</div>
 
 
 
@@ -16074,7 +16538,11 @@ div.jp-OutputPrompt {
 </div>
 
 </div></div></section></section><section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h2 id="Task-1">Task 1<a class="anchor-link" href="#Task-1">&#182;</a></h2><p><a name="task1"></a>
 <span class="task" style="padding: 2px 8px; color: white; background-color: #b9d25f; float: right; text-weight: bolder;">TASK</em></span></p>
@@ -16089,11 +16557,15 @@ div.jp-OutputPrompt {
 <li>Tell me when you're done with status icon in BigBlueButton: 👍</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[25]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[24]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">happy_dinos</span> <span class="o">=</span> <span class="p">{</span>
@@ -16111,8 +16583,10 @@ div.jp-OutputPrompt {
 
 </div></div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[26]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[25]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">happy_dinos</span> <span class="o">=</span> <span class="p">{</span>
@@ -16130,6 +16604,8 @@ div.jp-OutputPrompt {
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -16137,7 +16613,7 @@ div.jp-OutputPrompt {
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[26]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[25]:</div>
 
 
 
@@ -16199,14 +16675,22 @@ div.jp-OutputPrompt {
 </div>
 
 </div></div></section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h3 id="More-DataFrame-examples">More <code>DataFrame</code> examples<a class="anchor-link" href="#More-DataFrame-examples">&#182;</a></h3>
 </div>
+</div>
+</div>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[27]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[26]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span>
@@ -16225,6 +16709,8 @@ div.jp-OutputPrompt {
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -16232,7 +16718,7 @@ div.jp-OutputPrompt {
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[27]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[26]:</div>
 
 
 
@@ -16316,8 +16802,10 @@ div.jp-OutputPrompt {
 
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[28]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[27]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s2">&quot;C&quot;</span><span class="p">)</span>
@@ -16329,6 +16817,8 @@ div.jp-OutputPrompt {
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -16336,7 +16826,7 @@ div.jp-OutputPrompt {
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[28]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[27]:</div>
 
 
 
@@ -16420,8 +16910,10 @@ div.jp-OutputPrompt {
 
 </div></div></section><section><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[29]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[28]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span><span class="o">.</span><span class="n">tail</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
@@ -16433,6 +16925,8 @@ div.jp-OutputPrompt {
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -16440,7 +16934,7 @@ div.jp-OutputPrompt {
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[29]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[28]:</div>
 
 
 
@@ -16500,8 +16994,10 @@ div.jp-OutputPrompt {
 
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[30]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[31]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span>
@@ -16513,6 +17009,8 @@ div.jp-OutputPrompt {
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -16520,7 +17018,20 @@ div.jp-OutputPrompt {
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[30]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
+<pre>/var/folders/f5/swf8tg5j5r7bqbwftt3zn6b00000gn/T/ipykernel_62318/1325867503.py:1: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with &#39;numeric_only=None&#39;) is deprecated; in a future version this will raise TypeError.  Select only valid columns before calling the reduction.
+  df_demo.round(2).sum()
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[31]:</div>
 
 
 
@@ -16540,8 +17051,10 @@ dtype: object</pre>
 
 </div></div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[31]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[32]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="n">df_demo</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span><span class="o">.</span><span class="n">to_latex</span><span class="p">())</span>
@@ -16553,6 +17066,8 @@ dtype: object</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -16580,12 +17095,29 @@ dtype: object</pre>
 </div>
 </div>
 
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
+<pre>/var/folders/f5/swf8tg5j5r7bqbwftt3zn6b00000gn/T/ipykernel_62318/3396683912.py:1: FutureWarning: In future versions `DataFrame.to_latex` is expected to utilise the base implementation of `Styler.to_latex` for formatting and rendering. The arguments signature may therefore change. It is recommended instead to use `DataFrame.style.to_latex` which also contains additional functionality.
+  print(df_demo.round(2).to_latex())
+</pre>
+</div>
+</div>
+
 </div>
 
 </div>
 
 </div></div></section></section><section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h2 id="Reading-External-Data">Reading External Data<a class="anchor-link" href="#Reading-External-Data">&#182;</a></h2><p>(Links to documentation)</p>
 <ul>
@@ -16595,18 +17127,22 @@ dtype: object</pre>
 <li><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_excel.html#pandas.read_excel"><code>.read_excel()</code></a></li>
 </ul>
 <p>Example:</p>
-<div class="highlight"><pre><span></span><span class="p">{</span>
-    <span class="nt">&quot;Character&quot;</span><span class="p">:</span> <span class="p">[</span><span class="s2">&quot;Sawyer&quot;</span><span class="p">,</span> <span class="s2">&quot;…&quot;</span><span class="p">,</span> <span class="s2">&quot;Walt&quot;</span><span class="p">],</span>
-    <span class="nt">&quot;Actor&quot;</span><span class="p">:</span> <span class="p">[</span><span class="s2">&quot;Josh Holloway&quot;</span><span class="p">,</span> <span class="s2">&quot;…&quot;</span><span class="p">,</span> <span class="s2">&quot;Malcolm David Kelley&quot;</span><span class="p">],</span>
-    <span class="nt">&quot;Main Cast&quot;</span><span class="p">:</span> <span class="p">[</span><span class="kc">true</span><span class="p">,</span>  <span class="s2">&quot;…&quot;</span><span class="p">,</span> <span class="kc">false</span><span class="p">]</span>
-<span class="p">}</span>
+<div class="highlight"><pre><span></span><span class="p">{</span><span class="w"></span>
+<span class="w">    </span><span class="nt">&quot;Character&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span><span class="s2">&quot;Sawyer&quot;</span><span class="p">,</span><span class="w"> </span><span class="s2">&quot;…&quot;</span><span class="p">,</span><span class="w"> </span><span class="s2">&quot;Walt&quot;</span><span class="p">],</span><span class="w"></span>
+<span class="w">    </span><span class="nt">&quot;Actor&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span><span class="s2">&quot;Josh Holloway&quot;</span><span class="p">,</span><span class="w"> </span><span class="s2">&quot;…&quot;</span><span class="p">,</span><span class="w"> </span><span class="s2">&quot;Malcolm David Kelley&quot;</span><span class="p">],</span><span class="w"></span>
+<span class="w">    </span><span class="nt">&quot;Main Cast&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span><span class="kc">true</span><span class="p">,</span><span class="w">  </span><span class="s2">&quot;…&quot;</span><span class="p">,</span><span class="w"> </span><span class="kc">false</span><span class="p">]</span><span class="w"></span>
+<span class="p">}</span><span class="w"></span>
 </pre></div>
 
+</div>
+</div>
 </div>
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[32]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[33]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">pd</span><span class="o">.</span><span class="n">read_json</span><span class="p">(</span><span class="s2">&quot;data-lost.json&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s2">&quot;Character&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">sort_index</span><span class="p">()</span>
@@ -16618,6 +17154,8 @@ dtype: object</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -16625,7 +17163,7 @@ dtype: object</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[32]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[33]:</div>
 
 
 
@@ -16700,7 +17238,11 @@ dtype: object</pre>
 </div>
 
 </div></div></section></section><section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h2 id="Task-2">Task 2<a class="anchor-link" href="#Task-2">&#182;</a></h2><p><a name="task2"></a>
 <span class="task" style="padding: 2px 8px; color: white; background-color: #b9d25f; float: right; text-weight: bolder;">TASK</em></span></p>
@@ -16711,11 +17253,15 @@ dtype: object</pre>
 <li>Tell me when you're done with status icon in BigBlueButton: 👍</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[33]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[34]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="o">!</span>head data-nest.csv
@@ -16727,6 +17273,8 @@ dtype: object</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -16758,8 +17306,10 @@ dtype: object</pre>
 
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[34]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[35]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s2">&quot;data-nest.csv&quot;</span><span class="p">)</span>
@@ -16772,6 +17322,8 @@ dtype: object</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -16779,7 +17331,7 @@ dtype: object</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[34]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[35]:</div>
 
 
 
@@ -16959,7 +17511,11 @@ dtype: object</pre>
 </div>
 
 </div></div></section></section><section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h2 id="Read-CSV-Options">Read CSV Options<a class="anchor-link" href="#Read-CSV-Options">&#182;</a></h2><ul>
 <li>See also full <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html">API documentation</a></li>
@@ -16979,18 +17535,30 @@ dtype: object</pre>
 <div class="highlight"><pre><span></span><span class="n">pandas</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">filepath_or_buffer</span><span class="p">,</span> <span class="n">sep</span><span class="o">=&lt;</span><span class="nb">object</span> <span class="nb">object</span><span class="o">&gt;</span><span class="p">,</span> <span class="n">delimiter</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">header</span><span class="o">=</span><span class="s1">&#39;infer&#39;</span><span class="p">,</span> <span class="n">names</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">index_col</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">usecols</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">squeeze</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">prefix</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">mangle_dupe_cols</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">engine</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">converters</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">true_values</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">false_values</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">skipinitialspace</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">skiprows</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">skipfooter</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">nrows</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">na_values</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">keep_default_na</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">na_filter</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">skip_blank_lines</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">parse_dates</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">infer_datetime_format</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">keep_date_col</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">date_parser</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">dayfirst</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">cache_dates</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">iterator</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">chunksize</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">compression</span><span class="o">=</span><span class="s1">&#39;infer&#39;</span><span class="p">,</span> <span class="n">thousands</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">decimal</span><span class="o">=</span><span class="s1">&#39;.&#39;</span><span class="p">,</span> <span class="n">lineterminator</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">quotechar</span><span class="o">=</span><span class="s1">&#39;&quot;&#39;</span><span class="p">,</span> <span class="n">quoting</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">doublequote</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">escapechar</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">comment</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">encoding</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">dialect</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">error_bad_lines</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">warn_bad_lines</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">delim_whitespace</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">low_memory</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">memory_map</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">float_precision</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">storage_options</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
 </pre></div>
 
+</div>
+</div>
 </div>
 </div></section></section><section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h2 id="Slicing-of-Data-Frames">Slicing of Data Frames<a class="anchor-link" href="#Slicing-of-Data-Frames">&#182;</a></h2><ul>
 <li>Slicing: Select a sub-range / sub-set of entire data frame</li>
 <li>Pandas documentation: <a href="https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html">Detailed documentation</a>, <a href="https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html#selection">short documentation</a></li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="fragment">
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h3 id="Quick-Slices">Quick Slices<a class="anchor-link" href="#Quick-Slices">&#182;</a></h3><ul>
 <li>Use square-bracket operators to slice data frame quickly: <code>[]</code><ul>
@@ -17001,11 +17569,15 @@ dtype: object</pre>
 <li>Example: Select only columnn <code>C</code> from <code>df_demo</code></li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[35]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[36]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">3</span><span class="p">)</span>
@@ -17017,6 +17589,8 @@ dtype: object</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -17024,7 +17598,7 @@ dtype: object</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[35]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[36]:</div>
 
 
 
@@ -17092,8 +17666,10 @@ dtype: object</pre>
 
 </div></div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[36]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[37]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="p">[</span><span class="s1">&#39;C&#39;</span><span class="p">]</span>
@@ -17105,6 +17681,8 @@ dtype: object</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -17112,7 +17690,7 @@ dtype: object</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[36]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[37]:</div>
 
 
 
@@ -17133,17 +17711,25 @@ Name: C, dtype: float64</pre>
 </div>
 
 </div></div></section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li>Instead of column name in quotes and square brackets: Name of column <em>directly</em></li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[37]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[38]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="o">.</span><span class="n">C</span>
@@ -17155,6 +17741,8 @@ Name: C, dtype: float64</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -17162,7 +17750,7 @@ Name: C, dtype: float64</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[37]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[38]:</div>
 
 
 
@@ -17183,27 +17771,41 @@ Name: C, dtype: float64</pre>
 </div>
 
 </div>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li>I'm not a friend, because no spaces allowed<br>
 (And <strong>Pandas as early as possible</strong> means labelling columns well and adding spaces)</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div></section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li>Select more than one column by providing <code>list</code> to slice operator <code>[]</code></li>
 <li>Example: Select list of columns <code>A</code> and <code>C</code>, <code>['A', 'C']</code> from <code>df_demo</code></li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[38]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[39]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">my_slice</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;A&#39;</span><span class="p">,</span> <span class="s1">&#39;C&#39;</span><span class="p">]</span>
@@ -17216,6 +17818,8 @@ Name: C, dtype: float64</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -17223,7 +17827,7 @@ Name: C, dtype: float64</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[38]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[39]:</div>
 
 
 
@@ -17288,18 +17892,26 @@ Name: C, dtype: float64</pre>
 </div>
 
 </div></div></section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li>Use numerical values in brackets to slice <strong>along rows</strong></li>
 <li>Use ranges just like with Python lists</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[39]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[40]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="mi">3</span><span class="p">]</span>
@@ -17311,6 +17923,8 @@ Name: C, dtype: float64</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -17318,7 +17932,7 @@ Name: C, dtype: float64</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[39]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[40]:</div>
 
 
 
@@ -17378,8 +17992,10 @@ Name: C, dtype: float64</pre>
 
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[40]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[41]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="mi">6</span><span class="p">:</span><span class="mi">2</span><span class="p">]</span>
@@ -17391,6 +18007,8 @@ Name: C, dtype: float64</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -17398,7 +18016,7 @@ Name: C, dtype: float64</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[40]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[41]:</div>
 
 
 
@@ -17457,17 +18075,25 @@ Name: C, dtype: float64</pre>
 </div>
 
 </div></div></section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li>Attention: location might change after re-sorting!</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[41]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[42]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="mi">3</span><span class="p">]</span>
@@ -17479,6 +18105,8 @@ Name: C, dtype: float64</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -17486,7 +18114,7 @@ Name: C, dtype: float64</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[41]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[42]:</div>
 
 
 
@@ -17546,8 +18174,10 @@ Name: C, dtype: float64</pre>
 
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[42]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[43]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s2">&quot;C&quot;</span><span class="p">)[</span><span class="mi">1</span><span class="p">:</span><span class="mi">3</span><span class="p">]</span>
@@ -17559,6 +18189,8 @@ Name: C, dtype: float64</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -17566,7 +18198,7 @@ Name: C, dtype: float64</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[42]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[43]:</div>
 
 
 
@@ -17625,17 +18257,25 @@ Name: C, dtype: float64</pre>
 </div>
 
 </div></section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h2 id="Slicing-of-Data-Frames">Slicing of Data Frames<a class="anchor-link" href="#Slicing-of-Data-Frames">&#182;</a></h2><h3 id="Better-Slicing">Better Slicing<a class="anchor-link" href="#Better-Slicing">&#182;</a></h3><ul>
 <li><code>.iloc[]</code> and <code>.loc[]</code>: Faster slicing interfaces with more options</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[43]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[44]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="mi">3</span><span class="p">]</span>
@@ -17647,6 +18287,8 @@ Name: C, dtype: float64</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -17654,7 +18296,7 @@ Name: C, dtype: float64</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[43]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[44]:</div>
 
 
 
@@ -17713,17 +18355,25 @@ Name: C, dtype: float64</pre>
 </div>
 
 </div><div class="fragment">
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li>Also slice along columns (second argument)</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[44]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[45]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="mi">3</span><span class="p">,</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">2</span><span class="p">]]</span>
@@ -17735,6 +18385,8 @@ Name: C, dtype: float64</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -17742,7 +18394,7 @@ Name: C, dtype: float64</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[44]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[45]:</div>
 
 
 
@@ -17792,7 +18444,11 @@ Name: C, dtype: float64</pre>
 </div>
 
 </div></div></section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li><code>.iloc[]</code>: Slice by <strong>position</strong> (<em>numerical/integer</em>)</li>
@@ -17800,11 +18456,15 @@ Name: C, dtype: float64</pre>
 <li>See difference with a <em>proper</em> index (and not the auto-generated default index from before)</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[45]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[46]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo_indexed</span> <span class="o">=</span> <span class="n">df_demo</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s2">&quot;D&quot;</span><span class="p">)</span>
@@ -17817,6 +18477,8 @@ Name: C, dtype: float64</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -17824,7 +18486,7 @@ Name: C, dtype: float64</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[45]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[46]:</div>
 
 
 
@@ -17909,8 +18571,10 @@ Name: C, dtype: float64</pre>
 
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[46]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[47]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo_indexed</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s2">&quot;entries&quot;</span><span class="p">]</span>
@@ -17922,6 +18586,8 @@ Name: C, dtype: float64</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -17929,7 +18595,7 @@ Name: C, dtype: float64</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[46]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[47]:</div>
 
 
 
@@ -17993,8 +18659,10 @@ Name: C, dtype: float64</pre>
 
 </div></div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[47]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[48]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo_indexed</span><span class="o">.</span><span class="n">loc</span><span class="p">[[</span><span class="s2">&quot;has&quot;</span><span class="p">,</span> <span class="s2">&quot;entries&quot;</span><span class="p">],</span> <span class="p">[</span><span class="s2">&quot;A&quot;</span><span class="p">,</span> <span class="s2">&quot;C&quot;</span><span class="p">]]</span>
@@ -18006,6 +18674,8 @@ Name: C, dtype: float64</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -18013,7 +18683,7 @@ Name: C, dtype: float64</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[47]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[48]:</div>
 
 
 
@@ -18073,22 +18743,36 @@ Name: C, dtype: float64</pre>
 </div>
 
 </div></div></section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h2 id="Slicing-of-Data-Frames">Slicing of Data Frames<a class="anchor-link" href="#Slicing-of-Data-Frames">&#182;</a></h2><h3 id="Advanced-Slicing:-Logical-Slicing">Advanced Slicing: Logical Slicing<a class="anchor-link" href="#Advanced-Slicing:-Logical-Slicing">&#182;</a></h3>
 </div>
 </div>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li>Slice can also be array of booleans</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[48]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[49]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="p">[</span><span class="n">df_demo</span><span class="p">[</span><span class="s2">&quot;C&quot;</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">]</span>
@@ -18100,6 +18784,8 @@ Name: C, dtype: float64</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -18107,7 +18793,7 @@ Name: C, dtype: float64</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[48]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[49]:</div>
 
 
 
@@ -18167,8 +18853,10 @@ Name: C, dtype: float64</pre>
 
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[49]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[50]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="p">[</span><span class="s2">&quot;C&quot;</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mi">0</span>
@@ -18180,6 +18868,8 @@ Name: C, dtype: float64</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -18187,7 +18877,7 @@ Name: C, dtype: float64</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[49]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[50]:</div>
 
 
 
@@ -18209,8 +18899,10 @@ Name: C, dtype: bool</pre>
 
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[50]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[51]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="p">[(</span><span class="n">df_demo</span><span class="p">[</span><span class="s2">&quot;C&quot;</span><span class="p">]</span> <span class="o">&lt;</span> <span class="mi">0</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">df_demo</span><span class="p">[</span><span class="s2">&quot;D&quot;</span><span class="p">]</span> <span class="o">==</span> <span class="s2">&quot;entries&quot;</span><span class="p">)]</span>
@@ -18222,6 +18914,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -18229,7 +18923,7 @@ Name: C, dtype: bool</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[50]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[51]:</div>
 
 
 
@@ -18280,7 +18974,11 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div></div></section></section><section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h2 id="Adding-to-Existing-Data-Frame">Adding to Existing Data Frame<a class="anchor-link" href="#Adding-to-Existing-Data-Frame">&#182;</a></h2><ul>
 <li>Add new columns with <code>frame["new col"] = something</code> or <code>.insert()</code></li>
@@ -18294,11 +18992,15 @@ Name: C, dtype: bool</pre>
 </li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[51]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[52]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">3</span><span class="p">)</span>
@@ -18310,6 +19012,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -18317,7 +19021,7 @@ Name: C, dtype: bool</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[51]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[52]:</div>
 
 
 
@@ -18385,8 +19089,10 @@ Name: C, dtype: bool</pre>
 
 </div></div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[52]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[53]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="p">[</span><span class="s2">&quot;F&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df_demo</span><span class="p">[</span><span class="s2">&quot;C&quot;</span><span class="p">]</span> <span class="o">-</span> <span class="n">df_demo</span><span class="p">[</span><span class="s2">&quot;A&quot;</span><span class="p">]</span>
@@ -18399,6 +19105,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -18406,7 +19114,7 @@ Name: C, dtype: bool</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[52]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[53]:</div>
 
 
 
@@ -18477,18 +19185,26 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div></div></section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li><code>.insert()</code> allows to specify position of insertion</li>
 <li><code>.shape</code> gives tuple of size of data frame, <code>vertical, horizontal</code></li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[53]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[54]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="o">.</span><span class="n">insert</span><span class="p">(</span><span class="n">df_demo</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="mi">1</span><span class="p">,</span> <span class="s2">&quot;E2&quot;</span><span class="p">,</span> <span class="n">df_demo</span><span class="p">[</span><span class="s2">&quot;C&quot;</span><span class="p">]</span> <span class="o">**</span> <span class="mi">2</span><span class="p">)</span>
@@ -18501,6 +19217,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -18508,7 +19226,7 @@ Name: C, dtype: bool</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[53]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[54]:</div>
 
 
 
@@ -18584,8 +19302,10 @@ Name: C, dtype: bool</pre>
 
 </div></div></section><section><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[54]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[55]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="o">.</span><span class="n">tail</span><span class="p">(</span><span class="mi">3</span><span class="p">)</span>
@@ -18597,6 +19317,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -18604,7 +19326,7 @@ Name: C, dtype: bool</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[54]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[55]:</div>
 
 
 
@@ -18680,14 +19402,16 @@ Name: C, dtype: bool</pre>
 
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[55]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[63]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
     <span class="p">{</span><span class="s2">&quot;A&quot;</span><span class="p">:</span> <span class="mf">1.3</span><span class="p">,</span> <span class="s2">&quot;B&quot;</span><span class="p">:</span> <span class="n">pd</span><span class="o">.</span><span class="n">Timestamp</span><span class="p">(</span><span class="s2">&quot;2018-02-27&quot;</span><span class="p">),</span> <span class="s2">&quot;C&quot;</span><span class="p">:</span> <span class="o">-</span><span class="mf">0.777</span><span class="p">,</span> <span class="s2">&quot;D&quot;</span><span class="p">:</span> <span class="s2">&quot;has it?&quot;</span><span class="p">,</span> <span class="s2">&quot;E&quot;</span><span class="p">:</span> <span class="s2">&quot;Same&quot;</span><span class="p">,</span> <span class="s2">&quot;F&quot;</span><span class="p">:</span> <span class="mi">23</span><span class="p">},</span>
     <span class="n">ignore_index</span><span class="o">=</span><span class="kc">True</span>
-<span class="p">)</span>
+<span class="p">)</span>  <span class="c1"># TODO: Fix me</span>
 </pre></div>
 
      </div>
@@ -18696,6 +19420,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -18703,7 +19429,20 @@ Name: C, dtype: bool</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[55]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
+<pre>/var/folders/f5/swf8tg5j5r7bqbwftt3zn6b00000gn/T/ipykernel_62318/2974913581.py:1: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
+  df_demo.append(
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[63]:</div>
 
 
 
@@ -18808,17 +19547,25 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div></div></section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h2 id="Combining-Frames">Combining Frames<a class="anchor-link" href="#Combining-Frames">&#182;</a></h2><ul>
 <li>First, create some simpler data frame to show <code>.concat()</code> and <code>.merge()</code></li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[56]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[64]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_1</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span><span class="s2">&quot;Key&quot;</span><span class="p">:</span> <span class="p">[</span><span class="s2">&quot;First&quot;</span><span class="p">,</span> <span class="s2">&quot;Second&quot;</span><span class="p">],</span> <span class="s2">&quot;Value&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">]})</span>
@@ -18831,6 +19578,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -18838,7 +19587,7 @@ Name: C, dtype: bool</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[56]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[64]:</div>
 
 
 
@@ -18889,8 +19638,10 @@ Name: C, dtype: bool</pre>
 
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[57]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[65]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_2</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span><span class="s2">&quot;Key&quot;</span><span class="p">:</span> <span class="p">[</span><span class="s2">&quot;First&quot;</span><span class="p">,</span> <span class="s2">&quot;Second&quot;</span><span class="p">],</span> <span class="s2">&quot;Value&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">]})</span>
@@ -18903,6 +19654,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -18910,7 +19663,7 @@ Name: C, dtype: bool</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[57]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[65]:</div>
 
 
 
@@ -18960,17 +19713,25 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div></div></section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li>Concatenate list of data frame vertically (<code>axis=0</code>)</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[58]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[66]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">df_1</span><span class="p">,</span> <span class="n">df_2</span><span class="p">])</span>
@@ -18982,6 +19743,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -18989,7 +19752,7 @@ Name: C, dtype: bool</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[58]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[66]:</div>
 
 
 
@@ -19049,17 +19812,25 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div><div class="fragment">
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li>Same, but re-index</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[59]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[67]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">df_1</span><span class="p">,</span> <span class="n">df_2</span><span class="p">],</span> <span class="n">ignore_index</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
@@ -19071,6 +19842,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -19078,7 +19851,7 @@ Name: C, dtype: bool</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[59]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[67]:</div>
 
 
 
@@ -19138,17 +19911,25 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div></div></section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li>Concat, but horizontally</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[60]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[68]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">df_1</span><span class="p">,</span> <span class="n">df_2</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
@@ -19160,6 +19941,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -19167,7 +19950,7 @@ Name: C, dtype: bool</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[60]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[68]:</div>
 
 
 
@@ -19223,17 +20006,25 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div><div class="fragment">
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li>Merge on common column</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[61]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[69]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">pd</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">df_1</span><span class="p">,</span> <span class="n">df_2</span><span class="p">,</span> <span class="n">on</span><span class="o">=</span><span class="s2">&quot;Key&quot;</span><span class="p">)</span>
@@ -19245,6 +20036,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -19252,7 +20045,7 @@ Name: C, dtype: bool</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[61]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[69]:</div>
 
 
 
@@ -19305,7 +20098,11 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div></div></section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h2 id="Task-3">Task 3<a class="anchor-link" href="#Task-3">&#182;</a></h2><p><a name="task3"></a>
 <span class="task" style="padding: 2px 8px; color: white; background-color: #b9d25f; float: right; text-weight: bolder;">TASK</em></span></p>
@@ -19314,11 +20111,15 @@ Name: C, dtype: bool</pre>
 <li>Tell me when you're done with status icon in BigBlueButton: 👍</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[62]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[70]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="s2">&quot;Threads&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s2">&quot;Nodes&quot;</span><span class="p">]</span> <span class="o">*</span> <span class="n">df</span><span class="p">[</span><span class="s2">&quot;Tasks/Node&quot;</span><span class="p">]</span> <span class="o">*</span> <span class="n">df</span><span class="p">[</span><span class="s2">&quot;Threads/Task&quot;</span><span class="p">]</span>
@@ -19331,6 +20132,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -19338,7 +20141,7 @@ Name: C, dtype: bool</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[62]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[70]:</div>
 
 
 
@@ -19519,8 +20322,10 @@ Name: C, dtype: bool</pre>
 
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[63]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[71]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">columns</span>
@@ -19532,6 +20337,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -19539,7 +20346,7 @@ Name: C, dtype: bool</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[63]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[71]:</div>
 
 
 
@@ -19562,7 +20369,11 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div></div></section></section><section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h2 id="Aside:-Plotting-without-Pandas">Aside: Plotting without Pandas<a class="anchor-link" href="#Aside:-Plotting-without-Pandas">&#182;</a></h2><h3 id="Matplotlib-101">Matplotlib 101<a class="anchor-link" href="#Matplotlib-101">&#182;</a></h3><ul>
 <li>Matplotlib: de-facto standard for plotting in Python</li>
@@ -19573,11 +20384,15 @@ Name: C, dtype: bool</pre>
 <li>→ <a href="https://matplotlib.org/">https://matplotlib.org/</a></li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[64]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[72]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
@@ -19591,8 +20406,10 @@ Name: C, dtype: bool</pre>
 
 </div></div></section><section><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[65]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[73]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">pi</span><span class="p">,</span> <span class="mi">400</span><span class="p">)</span>
@@ -19606,8 +20423,10 @@ Name: C, dtype: bool</pre>
 
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[66]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[74]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
@@ -19623,6 +20442,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -19636,7 +20457,10 @@ Name: C, dtype: bool</pre>
 
 
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-<img 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
+"
+class="
+jp-needs-light-background
 "
 >
 </div>
@@ -19648,18 +20472,26 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div></div></section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li>Plot multiple lines into one canvas</li>
 <li>Call <code>ax.plot()</code> multiple times</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[67]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[75]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">y2</span> <span class="o">=</span> <span class="n">y</span><span class="o">/</span><span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">y</span><span class="o">*</span><span class="mf">1.5</span><span class="p">)</span>
@@ -19672,8 +20504,10 @@ Name: C, dtype: bool</pre>
 
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[68]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[76]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
@@ -19689,6 +20523,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -19702,7 +20538,10 @@ Name: C, dtype: bool</pre>
 
 
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+class="
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 >
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@@ -19714,18 +20553,26 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div></section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
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 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li>Matplotlib can also plot DataFrame data</li>
 <li>Because DataFrame data is <em>only</em> array-like data with stuff on top</li>
 </ul>
 
+</div>
+</div>
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+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[69]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[77]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
@@ -19740,6 +20587,8 @@ Name: C, dtype: bool</pre>
 </div>
 
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@@ -19753,7 +20602,10 @@ Name: C, dtype: bool</pre>
 
 
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
+"
+class="
+jp-needs-light-background
 "
 >
 </div>
@@ -19765,7 +20617,11 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div></section></section><section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h2 id="Task-4">Task 4<a class="anchor-link" href="#Task-4">&#182;</a></h2><p><a name="task4"></a>
 <span class="task" style="padding: 2px 8px; color: white; background-color: #b9d25f; float: right; text-weight: bolder;">TASK</em></span></p>
@@ -19777,11 +20633,15 @@ Name: C, dtype: bool</pre>
 <li>Tell me when you're done with status icon in BigBlueButton: 👍</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[70]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[78]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">sort_values</span><span class="p">([</span><span class="s2">&quot;Threads&quot;</span><span class="p">,</span> <span class="s2">&quot;Nodes&quot;</span><span class="p">,</span> <span class="s2">&quot;Tasks/Node&quot;</span><span class="p">,</span> <span class="s2">&quot;Threads/Task&quot;</span><span class="p">],</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>  <span class="c1"># multi-level sort</span>
@@ -19794,8 +20654,10 @@ Name: C, dtype: bool</pre>
 
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[71]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[79]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
@@ -19812,6 +20674,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -19825,7 +20689,10 @@ Name: C, dtype: bool</pre>
 
 
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 </div>
 
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 <h2 id="Plotting-with-Pandas">Plotting with Pandas<a class="anchor-link" href="#Plotting-with-Pandas">&#182;</a></h2><ul>
 <li>Each data frame has a <code>.plot()</code> function (see <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.plot.html">API</a>)</li>
@@ -19865,19 +20736,29 @@ Name: C, dtype: bool</pre>
 </li>
 </ul>
 
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 </div></section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
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 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li>Either slice and plot…</li>
 </ul>
 
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[72]:</div>
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 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="p">[</span><span class="s2">&quot;C&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">2</span><span class="p">));</span>
@@ -19889,6 +20770,8 @@ Name: C, dtype: bool</pre>
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@@ -19902,7 +20785,10 @@ Name: C, dtype: bool</pre>
 
 
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
+"
+class="
+jp-needs-light-background
 "
 >
 </div>
@@ -19914,17 +20800,25 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div><div class="fragment">
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li>… or plot and select</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[73]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[81]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">y</span><span class="o">=</span><span class="s2">&quot;C&quot;</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">2</span><span class="p">));</span>
@@ -19936,6 +20830,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -19949,7 +20845,10 @@ Name: C, dtype: bool</pre>
 
 
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cXtk4fLH7GdaWq18I9vTvHqtuNUN7ZybXwID8+Oljc7ccmsVs1Xx8tJTTey+WgpZqvm8hF+pCQZmDM6SBY59CKrVXP4dHXbXoA5pRwubhsCDBvSn+TYIJLjAkmK8JMhwF7S44mUUmoe8CLgCryhtf7TxY6XRKpveC+jiCc2HGKQlzuvLU4gYbiUNrBn1Y2t/G3HCf6+6yStFisLJ4VxX/JIgnzst2q0sA/ldc28u6+INXuMGCsbGOzlzs0JbXOfRshWKHbhTHUTW3JK2ZptYld+Oc1mKwM93Jg60p/kuCBmxATIyuke1KOJlFLKFcgDZgNFwF5gkdb66IWeI4mUfWs2W/ifj4+yOt3I5BFDeHnRBAK85Q+0rzDVNvHK1nxS0424uSruujKCpVdFyoar4nusVs3uExWs3mPkiyNnaLVoEiOGsDjJwNzRwXi6S++TvWpssfD18fJzvVWlNc0oBePDBpEcF8SsuCCig2QIsDv1dCJ1OfCk1npu+/ePA2it//dCz5FEyn4VVzWyfHUmBwqr+MW0ETw6J8bhC+k5KmNFA89tzuXDA6fx9nBj2fQo7rwiXLbucXKV9S28l1FIarqRUxUN+PZ356YJoaQkhckej32Q1pojp2tIa98L8FBxNQChg/ufq66eNGKIDMt2UU8nUjcD87TWP2///nYgSWt974WeI4mUfdp1rJz71mbRYrbyzC2XMW/MUFuHJLpBdkkNz2zKZUuOiUBvD+5LHsnCSWGy2sqJaK1JP1lJarqRjYfP0GKxMnH4YFKSDFw9dqj0PjmQ0pomtua0rQLclV9OU6uVAf1cmToygOS4tlWA/jIEeMnsIpFSSi0BlgAYDIaEgoKCLr2u6D5Wq+Yv24/z7Be5RAYMZOXtCUTKvAiHs/dUJX/+PId9BWcZ7ufFw3Ni+OnYobhIUU+HVdXQwnsZbXOfjpfV4+3p1t77ZCA6SHqfHF1T63eGALNNnKlpQikYFzaIWXFBzIwNJDbYW4YAO0CG9sQFVTe28vD6A6Rll3JtfAh/unEsA2Q/N4eltWZbromnNuaSc6aWUUN9WDEvhmnRAXIzdRBaa/YVnCU13cinh0poMVsZbxhESqKBn14WIkO7TurbIcAt7fOqDhS1DQEOG9Sf5LhAZsYGMnmEn/ROXkBPJ1JutE02TwaKaZtsnqK1PnKh50giZR+yS2pYtiqDorONPHFNHHdeES5vpk7CatV8dOA0z27OpbCykaSIIayYFysrM/uw6oZWPsgqIjXdyDFTHd4eblw/fhgpSQbihvrYOjxhZ0zfDgHmmNh1rJzGVgte/VzbVgHGBjEjNlAWGX1Hb5Q/uBp4gbbyB29qrf9wseMlkbK9DVlFPP7BIXw83Xl18QQmhQ+xdUjCBlrMVtbuNfLSlnzK65qZPSqIR+fGyLBPH6G1JtNYRWq6kU8OnqbZbCU+1JeUJAPXxodI4VzRIU2tFr45XsGWnLYJ6yXVTQDEhw1iVvuE9bihzj0EKAU5xTktZit/+PQob39TQGLEEF5JGU+gt9QZcnb1zWbe+uokr28/QV2LmRvHh/LArJGyf5qdqmlq5Z9ZxaSmG8k5U8uAfq5cN34YKYkGqWwvukRrzdGSGrZmm0jLMXGgsAqAEF9PZsa1JVWXO+EQoCRSAmjb0+mXqzPJNFbx8ykRPPaTWFm5Jb7nbH0Lf9l+nLe/PoVVaxYnDefemVGyyscOaK3ZX9jW+/TxwdM0tVoZM8yHlMThzB8XwkCZ2yh6gKm2iS9zykjLLmVn+xBgf3dXpoz0Z1b7KkBn+DAuiZTg6+Pl3Lcmi4YWC0/fHM81l0lpA3FhJdWNvLTlGOv3FeHh5sLPp47gP6ZG4O0pRT17W21TKx/uP01qupGjJTV49XNlfnwIKUkGLgsdZOvwhBNparWw+0TFuU2WT387BBjqS3L7KsDRIT4OOQQoiZQT01rz+o4TPLUxhwj/Abx+e4IU3RMddrysjue+yOPTQyUM9nLnlzOiuG3ycKfr1reFQ0XVpO4p4MP9p2losRA31IeUJAPXjwuRhFbYnNaanDO1bMkuJS3bxIGiKrSGob6ezIwNJDkukCsi/R3mXiGJlJOqbWrl0XcPsvHIGa4eG8xTN8dL97/olINFVTy9KZedx8oJ8fXkgdnR3Dh+mFS972b1zWY+OtDW+3SouBpPdxfmx4ewKNHAuLBBDvlJXziGstpmtuW21avacayMhhYLnu4uTIlqKwSaHBtIYB/e91MSKSeUV1rL0ncyKKhs4PGfxHLPlAi5CYsu+yq/nKc25nCgqJqowIE8MieGuaOD5Heriw4XV5O6x8iHWcXUt1iIDfZu630aPwwf6X0SfUyz2cLuE5Vsbe+tKq5qBGDsMF+S4wKZFRfU54YAJZFyMh8dOM1j7x1kgIcbr6aMJ2mEn61DEg5Ea82mI2d4elMux8vqiQ8bxGPzYrgi0t/WofUpDS1mPjlQwuo9Rg4UVuHh5sI1lw1lcZKBCYbBfepNRogL0VqTW1p7bl5VVmHbEGCQjwczY4OY1T4EaO+FYiWRchKtFit//Cybt746xcThg3l18QSC+nBXqrBvZouVD7KKeWFzHqerm5g60p8Vc2MZGyrL7y8mu6SGNXuMbMgsprbZzMjAgaQkGbhxfCi+XtL7JBxbeV0zX+aWsSW7lB15ZdS3DwFeGel/bsJ6sK/9vW9JIuUETDVNLF+dyb6Cs9x1ZTi/vjpOShuIXtHUamHV7gJe3ZbP2YZWrhk7lIfmRMt+jd/R2GLhk4OnSd1jJMtYRT83F64ZO5SUJAMTh0vvk3BOzWYLe05WsiXbRFp2KUVn24YAxwzzITk2iOS4QMaE+NrFfqCSSDm49BMV/DI1i/pmM3+6aSzXjRtm65CEE6ptauVvO0/yxs4TNJutLJgYyn3JIxnq29/WodnMsdJaVqcb+SCziJomMyMCBpCSaOCmCaEMHtDP1uEJYTe01hwz1ZGW3VZdPdN4Fq0h0NujfS/AIKZE2W4IUBIpB6W15u+7TvK/n+cwfIgXK29PkK09hM2V1zXzytZ8VqcX4KIUd14RzrLpkQzyco7EoanVwueHS0hNN7L31Fn6ubowb0wwKUkGkiKGSO+TEB1QWd/CthwTW3NMbM8ro67ZjIebC1dG+Z8rr9CbH9IkkXJAdc1mHnvvIJ8eKmHu6CCeuSVeassIu1JY2cDzaXlsyCpmoIcbS6dFcteV4Q67/1u+qY41e4y8n1lEVUMrEf4DWJQYxk0TQvGTyvBCdFqL2do2BNi+F6CxsgGAUUN9mBUXyI0TQgn3H9CjMUgi5WDyTbX84p0MTpbX89i8WJZcNUI+5Qq7lXumlqc35ZKWXYr/QA/uT45i4SQD/dz6/hy+ZrOFjYfPsDrdyJ6Tlbi7KuaMDmZxooHJI/zsYm6HEI5Ea02+qY4tOW2rADMKzrLytgTmjA7u0deVRMqBfHaohEffPYCnuysvLxrPFVGy5Fz0DRkFZ/nzxhz2nKzEMMSLh2ZHMz8+pE8mGyfL61mzx8h7GUVU1rdgGOLFokQDNyeEEuAtvU9C9JbK+ha8+rn2eAV1SaQcgNli5c8bc/jbzpOMNwzitcUTnHoSr+ibtNZszyvjqY25HC2pITbYmxXzYpgRE2j3vaotZitfHD1DarqRr49X4OaimD0qiJQkA1dG+vfJhFAI0TE9lkgppW4BngTigEStdYeyI0mkLo2ptol7U7PYc7KSn10+nP+6ZpRDDIsI52W1aj45VMKzX+RSUNHApPDBrJgXy6TwIbYO7d8UVNSzZk8h72UUUl7XQujg/ixKNHBLQmif3vJCCNFxF0ukujrr8zBwI/B6F88jLmDfqUqWr86kpqmV5xfGc8P4UFuHJESXubgo5seH8JMxwazbW8iLW45xy8pvSI4N5JG5McQN9bFpfK0WK2lHS1mdbmRXfjmuLork2EBSkgxMHRmAq/Q+CSHadSmR0lpnA3bfJd8Xaa1566tT/PGzbEIH9+ftuxNt/uYiRHdzd3XhtsnDuXHCMP7v61Os/PI4V7+0k+vHDePBWdEY/Lx6NZ7CygbW7jWyfl8RZbXNhPh68tDsaBZMDLPLastCCNtzzHXIfVx9s5n//OAQHx84zay4IJ5dEI9vfyltIByXVz83lk+PYnHicFbuOM5bX53kk4OnSUk0cO/MkT06gdtssZKWbWLNHiM7jpWhgJntvU/TogOl90kIcVE/OkdKKZUGnG9d4RNa6w/bj/kSeORic6SUUkuAJQAGgyGhoKCgszE7tBNldSxdlUG+qY6H58SwbFqkTGIVTqe0pomXthxj7d5CPNxcuPvKCJZMG4FPN9ZKK65qZO0eI+v2FmKqbSbYx5OFk8JYOCmMkEGykEMI8S89vmqvI4nUd8lk8/PbePgMj7x7gH5uLrx063imjJTSBsK5nSyv57nNeXx84DSDvNxZPj2Sn10e3umlzmaLlS9zy0jdY2RbrgmA6dEBpCQNZ0ZMAG6yP6UQ4jwkkbJzZouVp7/I5fXtJ4gP9eW12xIYJp+IhTjncHE1T2/KZXteGcE+njwwayQ3J4R2OPEpqW5k3d5C1u0tpKS6iUBvj3O9T6GDe3celhCi7+nJ8gc3AC8DAUAVsF9rPffHnieJ1L+U1zXzq9QsvjlRQUqSgd9cOwoPN9tsyiiEvfvmeAVPbcohy1jFiIABPDInhp+MCT7vgheLVbMjr4zV6Ua25pSigakjA0hJNJAcF4i79D4JITpICnLaqUzjWZavyuRsQwu/v34Mt0wMs3VIQtg9rTWbj5by9KZcjpnquCzUlxVzY88NhZfWNJ3rfSquasR/oAcLJoayKNFA2BDpfRJCXDpJpOyM1pp3dhfwu0+OEuzrycrbEhgd4mvrsIToUyxWzYasYp7fnEdxVSNXRvkx0MONtGwTFqtmSpQ/KUkGZsUFSQFbIUSX9GRBTnGJGlss/HrDITZkFTMzNpDnF4zD10tKGwhxqVxdFDcnhHJt/FBW7zby6rZ8AH4+NYJFkww9vhu8EEKAJFK96lR5PUtXZZBbWstDs6O5d0aUlDYQoos83Fy5e0oEd1wRjtZaVt4JIXqVJFK9ZPPRUh5avx9XF8X/3ZXItOgAW4ckhENpK5wpH0yEEL1LEqkeZrFqntucy6vbjjN2mC+vLZ4gE16FEEIIByGJVA+qrG/hvjVZ7Mov59ZJYTw5f3SnCwkKIYQQwv5IItVD9hdWsXxVBuX1Lfz5prEsnGSwdUhCCCGE6GaSSHUzrTWpe4z89qOjBHh78P7SKxgbKqUNhBBCCEckiVQ3amq18MSGw7yfWcS06ABeWDiOwQP62TosIYQQQvQQSaS6ibGigaWrMjhaUsP9ySO5L3lk+yoiIYQQQjgqSaS6wdacUh5Yux+At+6cxIzYQNsGJIQQQoheIYlUF1ismhe3HOOlLccYNdSHlbclYPCT0gZCCCGEs5BEqpPO1rdw/7r97Mgr4+aEUH5//RgpbSCEEEI4mS4lUkqpp4FrgRbgOHCX1rqqG+Kya4eKqlm6KoOy2mb+eMNYFiWGoZTMhxJCCCGcTVc3pdoMjNFaXwbkAY93PST7tnaPkZtWfo3WmneXXk5KkkGSKCGEEMJJdalHSmv9xXe+3Q3c3LVw7FdTq4XffHiEdfsKmTrSnxdvHc8QKW0ghBBCOLXunCN1N7CuG89nNworG1i2OoPDxTXcOyOKB2dHS2kDIYQQQvx4IqWUSgOCz/PQE1rrD9uPeQIwA6svcp4lwBIAg6HvbJfyZa6JB9btx2LVvPGzicwaFWTrkIQQQghhJ340kdJaz7rY40qpO4GfAslaa32R8/wV+CvAxIkTL3icvbBaNS9vzeeFLXnEBHmz8rYEwv0H2DosIYQQQtiRrq7amwesAKZprRu6JyTbq25o5YF1WWzLLeOG8cP44w1j6d9PShsIIYQQ4vu6OkfqFcAD2Ny+cm231nppl6OyocPF1SxbncGZ6iZ+d91obps8XFblCSGEEOK8urpqL6q7ArEH7+4r5L/+eZjBXv1Y94vLmWAYbOuQhBBCCGHHpLI50Gy28ORHR1mzx8gVkX68tGg8/gM9bB2WEEIIIeyc0ydSxVWNLF+VwYGiapZNj+Th2dG4uXa1TqkQQgghnIFTJ1K7jpXzqzWZmC2a129PYO7o81V5EEIIIYQ4P6dMpKxWzV+2H+fZL3KJChzIytsSGBEw0NZhCSGEEKKPcbpEqrqxlYfX7yct28T8+BD+dNNYvPo53Y9BCCGEEN3AqTKI7JIalq7KoPhsI09eO4o7rgiX0gZCCCGE6DSnSaQ2ZBXx+AeH8O3vztolk5kYPsTWIQkhhBCij3P4RKrFbOV3nxzlnd0FJEUM4eWU8QR6e9o6LCGEEEI4AIdOpEqqG1m+OpMsYxVLrhrBirkxUtpACCGEEN3GYROpr/PL+dWaLJpaLby2eAJXjx1q65CEEEII4WAcMpFat9fI4x8cYkRAW2mDqEApbSCEEEKI7ueQidRloYO4fvwwfnfdGAZ4OGQThRBCCGEHHDLLiBvqw3MLxtk6DCGEEEI4OJl5LYQQQgjRSZJICSGEEEJ0kiRSQgghhBCdpLTWvf+iSpUBBT38Mv5AeQ+/hj1z5vY7c9vBudsvbXdeztx+Z2479E77h2utA873gE0Sqd6glNqntZ5o6zhsxZnb78xtB+duv7TdOdsOzt1+Z2472L79MrQnhBBCCNFJkkgJIYQQQnSSIydSf7V1ADbmzO135raDc7df2u68nLn9ztx2sHH7HXaOlBBCCCFET3PkHikhhBBCiB7V5xMppdQ8pVSuUipfKfWf53ncQym1rv3xdKVUuA3C7BEdaPudSqkypdT+9n8/t0WcPUEp9aZSyqSUOnyBx5VS6qX2n81BpdSE3o6xJ3Wg/dOVUtXfufb/r7dj7ClKqTCl1Dal1FGl1BGl1P3nOcYhr38H2+7I195TKbVHKXWgvf2/Pc8xDnnP72DbHfaeD6CUclVKZSmlPjnPY7a77lrrPvsPcAWOAyOAfsABYNQPjlkOrGz/+lZgna3j7sW23wm8YutYe6j9VwETgMMXePxq4HNAAZOBdFvH3Mvtnw58Yus4e6jtQ4EJ7V97A3nn+d13yOvfwbY78rVXwMD2r92BdGDyD45x1Ht+R9rusPf89vY9BKSe7/fblte9r/dIJQL5WusTWusWYC1w3Q+OuQ54u/3r94BkpZTqxRh7Skfa7rC01juAyoscch3wD91mNzBIKTW0d6LreR1ov8PSWpdorTPbv64FsoFhPzjMIa9/B9vusNqvZ137t+7t/3440dch7/kdbLvDUkqFAtcAb1zgEJtd976eSA0DCr/zfRH/flM5d4zW2gxUA369El3P6kjbAW5qH9p4TykV1juh2YWO/nwc2eXtwwCfK6VG2zqYntDefT+etk/n3+Xw1/8ibQcHvvbtwzv7AROwWWt9wWvvYPf8jrQdHPee/wKwArBe4HGbXfe+nkiJi/sYCNdaXwZs5l/ZunB8mbRtaRAPvAz807bhdD+l1EDgfeABrXWNrePpTT/Sdoe+9lpri9Z6HBAKJCqlxtg4pF7TgbY75D1fKfVTwKS1zrB1LOfT1xOpYuC7GXdo+/+d9xillBvgC1T0SnQ960fbrrWu0Fo3t3/7BpDQS7HZg478bjgsrXXNt8MAWuvPAHellL+Nw+o2Sil32hKJ1VrrD85ziMNe/x9ru6Nf+29prauAbcC8HzzkqPf8cy7Udge+518JzFdKnaJtGstMpdSqHxxjs+ve1xOpvcBIpVSEUqofbRPMPvrBMR8Bd7R/fTOwVbfPRuvjfrTtP5gTMp+2+RTO4iPgZ+2rtyYD1VrrElsH1VuUUsHfzg9QSiXS9rfuEG8m7e36O5CttX7uAoc55PXvSNsd/NoHKKUGtX/dH5gN5PzgMIe853ek7Y56z9daP661DtVah9P2XrdVa33bDw6z2XV3640X6Slaa7NS6l5gE22r2N7UWh9RSv0PsE9r/RFtN513lFL5tE3OvdV2EXefDrb9PqXUfMBMW9vvtFnA3UwptYa21Un+Sqki4De0Tb5Ea70S+Iy2lVv5QANwl20i7RkdaP/NwDKllBloBG51hDeTdlcCtwOH2ueLAPwaMIDDX/+OtN2Rr/1Q4G2llCttCeJ6rfUnznDPp2Ntd9h7/vnYy3WXyuZCCCGEEJ3U14f2hBBCCCFsRhIpIYQQQohOkkRKCCGEEKKTJJESQgghhOgkSaSEEEIIITpJEikhhBBCiE6SREoIIYQQopMkkRJCCCGE6KT/Dwy5o64wdUHfAAAAAElFTkSuQmCC
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
+"
+class="
+jp-needs-light-background
 "
 >
 </div>
@@ -19961,18 +20860,26 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li>I prefer slicing first:<br>
 → Allows for further operations on the sliced data frame</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div></div></section><section><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[74]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[82]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="p">[</span><span class="s2">&quot;C&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s2">&quot;bar&quot;</span><span class="p">);</span>
@@ -19984,6 +20891,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -19997,7 +20906,10 @@ Name: C, dtype: bool</pre>
 
 
 <div class="jp-RenderedImage jp-OutputArea-output ">
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+"
+class="
+jp-needs-light-background
 "
 >
 </div>
@@ -20009,18 +20921,26 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li>There are pseudo-sub-functions for each of the plot <code>kind</code>s</li>
 <li>I prefer to just call <code>.plot(kind="smthng")</code></li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[75]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[83]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="p">[</span><span class="s2">&quot;C&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">bar</span><span class="p">();</span>
@@ -20032,6 +20952,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -20045,7 +20967,10 @@ Name: C, dtype: bool</pre>
 
 
 <div class="jp-RenderedImage jp-OutputArea-output ">
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+"
+class="
+jp-needs-light-background
 "
 >
 </div>
@@ -20058,8 +20983,10 @@ Name: C, dtype: bool</pre>
 
 </div></div></section><section><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[76]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[84]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="p">[</span><span class="s2">&quot;C&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s2">&quot;bar&quot;</span><span class="p">,</span> <span class="n">legend</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">4</span><span class="p">),</span> <span class="n">ylim</span><span class="o">=</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span> <span class="n">title</span><span class="o">=</span><span class="s2">&quot;This is a C plot&quot;</span><span class="p">);</span>
@@ -20071,6 +20998,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -20084,7 +21013,10 @@ Name: C, dtype: bool</pre>
 
 
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+class="
+jp-needs-light-background
 "
 >
 </div>
@@ -20096,7 +21028,11 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div></section></section><section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
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 <h2 id="Task-5">Task 5<a class="anchor-link" href="#Task-5">&#182;</a></h2><p><a name="task5"></a>
 <span class="task" style="padding: 2px 8px; color: white; background-color: #b9d25f; float: right; text-weight: bolder;">TASK</em></span></p>
@@ -20110,11 +21046,15 @@ Name: C, dtype: bool</pre>
 <li>Tell me when you're done with status icon in BigBlueButton: 👍</li>
 </ol>
 
+</div>
+</div>
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+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[77]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[85]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s2">&quot;Threads&quot;</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
@@ -20127,8 +21067,10 @@ Name: C, dtype: bool</pre>
 
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+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[78]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[86]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="s2">&quot;Presim. Time / s&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span> <span class="n">style</span><span class="o">=</span><span class="s2">&quot;--&quot;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s2">&quot;red&quot;</span><span class="p">);</span>
@@ -20140,6 +21082,8 @@ Name: C, dtype: bool</pre>
 </div>
 
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@@ -20153,7 +21097,10 @@ Name: C, dtype: bool</pre>
 
 
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
+"
+class="
+jp-needs-light-background
 "
 >
 </div>
@@ -20166,8 +21113,10 @@ Name: C, dtype: bool</pre>
 
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[79]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[87]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="s2">&quot;Sim. Time / s&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span> <span class="n">style</span><span class="o">=</span><span class="s2">&quot;-b&quot;</span><span class="p">);</span>
@@ -20179,6 +21128,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -20192,7 +21143,10 @@ Name: C, dtype: bool</pre>
 
 
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5IkSV2risdCLAeuLpevBj5cwW9IkiR1jIkGrgR+EhF3RcSKsm1uZm4ql58C5k7wNyRJkjraRC+a/+PM3BgR/wVYFRG/bd6YmRkRQ94GWQa0FQBvectbJliGJEnS5DWhEa7M3FjOtwA/Ak4ANkfE4QDlfMswn708M5dl5rLe3t6JlCFJkjSpjTtwRcQBEXFQYxn4ILAWWAmcXe52NnDjRIvsNtOmwfr18Fd/BWvW+HogSZI63URGuOYCt0XEPcAdwP/NzJuBi4APRMTvgPeX6xqDv/1bOOUUuPRSOO644pldF10Ejz9ed2WSJGk8fNL8JPbMM/Bv/wb/+q/wy18Wbe97H/zZn8EZZ/jqH0mS6jCeJ81X8VgItcihh8LnPge33QYPPQRf/zps3gwrVsCb3gQf/SjccANs3z7x39qwAe6/f+LfI0mS9uYIV4fJhLvvLka9fvCDIoDNng0f+xh88pPw3vcW14AB7NgBzz1XTNu27Vkequ1HP9rz/ZIkaXjjGeEycHWwXbvgZz8rwtcNN8DLL8PcudDTU4SoV17Z9+f33784LTl7NqxbV7RNgsNBkqRJzZdXd5meHvjgB4vpssvgxhvhP/8TZswogtTgafbs1y/PmrXnu049tRjxkiRJrWfgmiIOOAA+8YlikiRJk4uBS3/w+OPw5S8X4e2AA+DAA/csD54a22bNgoi6K5ckaXIzcAmAE04o7oa88MKxXcc1bdrwYWxfQa0xnXgi+GYnSdJU50Xzep1MePXV4gL85umll/ZuG+u2V17ZO8y9//2walU9f6skSePhRfOasIji7sX994dWv+JycJj7xCfgpz+FZctgYGBsUwQsWABHHw2LFhXzxjRnTmvrliRpogxcapvBYe5zn4M3vhGmTx/7NDAAjzxSPJPs+uuL9YZDD907hB19NBx1VHEaU5KkdvOUojrejh3w6KPw4IN7Txs3vn7fefP2PCi2p6eYZszYe3motoks77efNxdI0lThKUV1pZkz94xiDfbyy8VrixoB7JJLioe8Nh702i4rVsA//3N7f1OSNHk4wqWutHt38aT+xrRz58SXh9t+/vnFb+63396nRqdNq6dtNPtOm7ZnvbE80vrMmfCGN+x72m+/Yj5r1p7XUElSJ3GESxqlRjiYObP63zr+eLj55r0v/N+9e2JtO3fCa6+19jsHBtr7eqfhAlojlI00XXfdnv8dZ8zYM29MVa03ThlPn/76+VBtQ+1j0JS6j4FLqthJJxVTp8gswlcjgDWWB68Pta0RApunV1/du220+2zbNvw+O3bsqfnUU4vf3rGj2LZz5571xvJQ67t21dbNI4aykYLbWEPeWPe55poiXO5rlHS821r9fe38LcOyxquywBURpwL/AEwH/iUzL6rqtyS1TsSe/7jMmFF3NcPbvRu2by9GusZ7Q0Lm6wPYaELajh1FUBsYeP18qLbx7DPW7xuuntF+z86d++6jk04q9tuxY3QjpWPZNgmuaBmXVoS7adOK47Yxb0zN6524bTLU9fa3wzvfWfdRsrdKAldETAe+DXwAeBK4MyJWZub9VfyepO4zbVpx6nEiItp3ankyawSgwWFszpxq767NbG2AG8u2ur9v9+7i72+MKDeWB683RpCH27avz1W5bSzf0e5g/ed/3kWBCzgB2JCZDwNExDXAcsDAJUmTTOOmh3aPaEbsOZ2pqa2dIfGgg+r+a4dW1WE+D3iiaf1JYBLmTUmSVLXmU37dqrY/PSJWRMTqiFi9devWusqQJEmqXFWBayNwRNP6/LLtDzLz8sxclpnLelv90j5JkqRJpKrAdSewKCIWRsRM4CxgZUW/JUmSNKlVcg1XZu6KiPOAH1M8FuLKzGzzy1QkSZImh8ruDcnMm4Cbqvp+SZKkTjEp3qUYEVuBx0a5+2HA0xWWoz3s6/awn9vHvm4P+7l97Ov2ae7rt2bmmC5AnxSBaywiYvVYXxip8bGv28N+bh/7uj3s5/axr9tnon3dxU/EkCRJag8DlyRJUsU6MXBdXncBXcS+bg/7uX3s6/awn9vHvm6fCfV1x13DJUmS1Gk6cYRLkiSpo3RU4IqIUyPigYjYEBEX1F3PVBIRj0bEfRGxJiJWl21zImJVRPyunB9Sd52dKCKujIgtEbG2qW3Ivo3CpeUxfm9EHF9f5Z1lmH7+akRsLI/rNRFxetO2L5b9/EBEfKieqjtTRBwREbdGxP0RsS4iPl+2e1y30D762eO6xSLiDRFxR0TcU/b118r2hRFxe9mn15ZvzyEiZpXrG8rtC0b6jY4JXBExHfg2cBqwGPh4RCyut6op508yc2nTba8XALdk5iLglnJdY3cVcOqgtuH69jRgUTmtAC5rU41TwVXs3c8Al5TH9dLygcyU/3acBSwpP/NP5b8xGp1dwPmZuRg4ETi37FOP69Yarp/B47rVtgMnZ+Y7gKXAqRFxInAxRV8fBTwHnFPufw7wXNl+SbnfPnVM4AJOADZk5sOZuQO4Blhec01T3XLg6nL5auDD9ZXSuTLzF8Czg5qH69vlwHez8GtgdkQc3pZCO9ww/Tyc5cA1mbk9Mx8BNlD8G6NRyMxNmXl3ufwisB6Yh8d1S+2jn4fjcT1O5bH5Urk6o5wSOBn4Ydk++JhuHOs/BE6JiNjXb3RS4JoHPNG0/iT7PvA0Ngn8JCLuiogVZdvczNxULj8FzK2ntClpuL71OG+988rTWFc2nRa3n1ukPJVyHHA7HteVGdTP4HHdchExPSLWAFuAVcBDwLbM3FXu0tyff+jrcvvzwKH7+v5OClyq1h9n5vEUQ//nRsT7mjdmcTurt7RWwL6t1GXA2yhOEWwCvllrNVNMRBwIXA98ITNfaN7mcd06Q/Szx3UFMnMgM5cC8ylGBo9p5fd3UuDaCBzRtD6/bFMLZObGcr4F+BHFwba5MexfzrfUV+GUM1zfepy3UGZuLv8R3Q18hz2nV+znCYqIGRQh4PuZeUPZ7HHdYkP1s8d1tTJzG3Ar8C6K09895abm/vxDX5fbDwae2df3dlLguhNYVN4xMJPiwsCVNdc0JUTEARFxUGMZ+CCwlqJ/zy53Oxu4sZ4Kp6Th+nYl8Onyrq4TgeebTtFojAZdJ/QRiuMain4+q7zTaCHFxdx3tLu+TlVeq3IFsD4z/75pk8d1Cw3Xzx7XrRcRvRExu1zeD/gAxTVztwJnlLsNPqYbx/oZwM9yhAeb9uxr42SSmbsi4jzgx8B04MrMXFdzWVPFXOBH5fV+PcD/zsybI+JO4LqIOAd4DDizxho7VkT8ADgJOCwingS+AlzE0H17E3A6xcWurwCfaXvBHWqYfj4pIpZSnNp6FPgsQGaui4jrgPsp7gQ7NzMHaii7U70H+BRwX3nNC8CX8LhuteH6+eMe1y13OHB1eVfnNOC6zPyPiLgfuCYivgH8hiIAU86/FxEbKG7WOWukH/BJ85IkSRXrpFOKkiRJHcnAJUmSVDEDlyRJUsUMXJIkSRUzcEmSJFWsYx4LIWnqi4hDKV56DPAmYADYCiwAfl++xLfqGl7KzAOr/h1J3cURLkmTRmY+k5lLy9dr/C/gknJ5KbB7pM83PRFakiYVA5ekTjE9Ir4TEesi4ifl06CJiJ9HxP+MiNXA5yPijyLi/5UvYv9x06tm/ntE3BkR90TE9RGxf9m+MCJ+FRH3lQ83pGw/PCJ+ERFrImJtRLy3lr9a0pRg4JLUKRYB387MJcA24KNN22Zm5jLgUuBbwBmZ+UfAlcCF5T43ZOZ/zcx3ULyy45yy/R+AyzKzj+JFwA2fAH5cjrC9A1hTxR8lqTs4/C6pUzySmWvK5bsorutquLacvx04FlhVvqpqOntC1LHlCNZs4ECK14RB8fqURnj7HnBxuXwncGX58uD/0/TbkjRmjnBJ6hTbm5YHeP3/YXy5nAewrnEdWGb2ZeYHy21XAeeVI1lfA97Q9Pm93nGWmb8A3gdsBK6KiE+35s+Q1I0MXJKmkgeA3oh4F0BEzIiIJeW2g4BN5YjVJ5s+80v2vHj2D+0R8VZgc2Z+B/gX4Piqi5c0dRm4JE0ZmbkDOAO4OCLuobju6t3l5i8Dt1MErN82fezzwLkRcR8wr6n9JOCeiPgN8N8orvWSpHGJzL1G0iVJktRCjnBJkiRVzMAlSZJUMQOXJElSxQxckiRJFTNwSZIkVczAJUmSVDEDlyRJUsUMXJIkSRX7/+uD/EGCih7cAAAAAElFTkSuQmCC
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
+"
+class="
+jp-needs-light-background
 "
 >
 </div>
@@ -20205,8 +21159,10 @@ Name: C, dtype: bool</pre>
 
 </div></section><section><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[80]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[88]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="s2">&quot;Presim. Time / s&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">style</span><span class="o">=</span><span class="s2">&quot;--r&quot;</span><span class="p">);</span>
@@ -20219,6 +21175,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -20232,7 +21190,10 @@ Name: C, dtype: bool</pre>
 
 
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
+"
+class="
+jp-needs-light-background
 "
 >
 </div>
@@ -20245,8 +21206,10 @@ Name: C, dtype: bool</pre>
 
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[81]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[89]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">ax</span> <span class="o">=</span> <span class="n">df</span><span class="p">[[</span><span class="s2">&quot;Presim. Time / s&quot;</span><span class="p">,</span> <span class="s2">&quot;Sim. Time / s&quot;</span><span class="p">]]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">style</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;--b&quot;</span><span class="p">,</span> <span class="s2">&quot;-r&quot;</span><span class="p">]);</span>
@@ -20259,6 +21222,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -20272,7 +21237,10 @@ Name: C, dtype: bool</pre>
 
 
 <div class="jp-RenderedImage jp-OutputArea-output ">
-<img 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 <h2 id="More-Plotting-with-Pandas">More Plotting with Pandas<a class="anchor-link" href="#More-Plotting-with-Pandas">&#182;</a></h2><h3 id="Recap:-Our-first-proper-Pandas-plot">Recap: Our first proper Pandas plot<a class="anchor-link" href="#Recap:-Our-first-proper-Pandas-plot">&#182;</a></h3>
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@@ -20328,7 +21309,11 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div>
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+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
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 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li><strong>That's why I think Pandas is great!</strong></li>
@@ -20337,16 +21322,26 @@ Name: C, dtype: bool</pre>
 <li>Before plotting, data can be <em>massaged</em> within data frames, if needed</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div></section></section><section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
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 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h2 id="More-Plotting-with-Pandas">More Plotting with Pandas<a class="anchor-link" href="#More-Plotting-with-Pandas">&#182;</a></h2><h3 id="Some-versatility">Some versatility<a class="anchor-link" href="#Some-versatility">&#182;</a></h3>
 </div>
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[83]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[91]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="p">[[</span><span class="s2">&quot;A&quot;</span><span class="p">,</span> <span class="s2">&quot;C&quot;</span><span class="p">,</span> <span class="s2">&quot;F&quot;</span><span class="p">]]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s2">&quot;bar&quot;</span><span class="p">,</span> <span class="n">stacked</span><span class="o">=</span><span class="kc">True</span><span class="p">);</span>
@@ -20358,6 +21353,8 @@ Name: C, dtype: bool</pre>
 </div>
 
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 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -20371,7 +21368,10 @@ Name: C, dtype: bool</pre>
 
 
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+<img src="data:image/png;base64,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
+"
+class="
+jp-needs-light-background
 "
 >
 </div>
@@ -20384,8 +21384,10 @@ Name: C, dtype: bool</pre>
 
 </div></section><section><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[84]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[92]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="p">[</span><span class="n">df_demo</span><span class="p">[</span><span class="s2">&quot;F&quot;</span><span class="p">]</span> <span class="o">&lt;</span> <span class="mi">0</span><span class="p">][[</span><span class="s2">&quot;A&quot;</span><span class="p">,</span> <span class="s2">&quot;C&quot;</span><span class="p">,</span> <span class="s2">&quot;F&quot;</span><span class="p">]]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s2">&quot;bar&quot;</span><span class="p">,</span> <span class="n">stacked</span><span class="o">=</span><span class="kc">True</span><span class="p">);</span>
@@ -20397,6 +21399,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -20410,7 +21414,10 @@ Name: C, dtype: bool</pre>
 
 
 <div class="jp-RenderedImage jp-OutputArea-output ">
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@@ -20423,8 +21430,10 @@ Name: C, dtype: bool</pre>
 
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
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+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[85]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[93]:</div>
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      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="p">[</span><span class="n">df_demo</span><span class="p">[</span><span class="s2">&quot;F&quot;</span><span class="p">]</span> <span class="o">&lt;</span> <span class="mi">0</span><span class="p">][[</span><span class="s2">&quot;A&quot;</span><span class="p">,</span> <span class="s2">&quot;C&quot;</span><span class="p">,</span> <span class="s2">&quot;F&quot;</span><span class="p">]]</span>\
@@ -20437,6 +21446,8 @@ Name: C, dtype: bool</pre>
 </div>
 
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+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
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@@ -20450,7 +21461,10 @@ Name: C, dtype: bool</pre>
 
 
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V4MjANHJflwVb16tNEkSZK0pobdtaRhx45vf/vbnH322VxzzTUcc8wxPOlJT+L888/npJNOWvFXL7uSW1XnVtVkVU0BO4DPW+BKkiRpGKqKM888kxe+8IV84xvfYG5ujne+853ceeedqxrXPrmSpI3Jnq5SJ+zZs4exsTFe97rX/fDYs5/97FWPO1CRW1VXAFes+lslSZIk4MYbb+S5z33u0Mf1sb6SJEnqHItcSZIkteaZz3wmc3OHbOK1Iha5kiRJas1pp53GAw88wK5du3547Prrr+fKK69c1bjeeCZJkqSeFm7oTMKll17K2Wefzbvf/W7Gx8eZmpri/PPPX9W4FrmSJElq1XHHHcfFF1881DHdriBJkqTOcSVXkiT1DPtpV2rfYdxPetmV3CTjSb6c5CtJbkpy3loEkyRJ0uhVVdsRlrWSjE22KzwAnFZVzwa2AduT/MzA3yRJkqR1ZXx8nMXFxXVd6FYVi4uLjI+PD/S5ZbcrVO9X7+u/Heu/1u9/CUmSJDUyOTnJ/Pw8CwsLbUc5pPHxcSYnJwf6TKM9uUk2AXPAU4ELqurqJa7ZCewEOPHEEwcKIUmSpLU3NjbG9PR02zFGolF3hap6uKq2AZPAqUmetcQ1u6pqpqpmJiYmhhxTkiRJam6gFmJVdQ+wB9g+kjSSJEnSEDTprjCR5Jj+30cALwK+NuJckiRJ0oo12ZN7LHBhf1/uY4CLq+pTo40lSZLW3GHcU1Xd06S7wvXAc9YgiyRJkjQUPtZXkiRJnWORK0mSpM6xyJUkSVLnWORKkiSpcyxyJUmS1DkWuZIkSeqcJn1yJUltevvRbSfQ4cI+ueqQJk88OyHJniRfTXJTkjeuRTBJkiRppZqs5D4EnFNV1ybZDMwlubyqvjribJIkSdKKLLuSW1Xfqqpr+3/fB+wFjh91MEmSJGmlBrrxLMkUvUf8Xr3EuZ1JZpPMLiwsDCmeJEmSNLjGRW6SI4G/Ac6uqnsffb6qdlXVTFXNTExMDDOjJEmSNJBGRW6SMXoF7keq6m9HG0mSJElanSbdFQK8H9hbVe8dfSRJkiRpdZp0V3gecBZwQ5Lr+sfeWlWXjSyVJOkf2btUkga2bJFbVVcBWYMskiRJ0lD4WF9JkiR1jkWuJEmSOsciV5IkSZ1jkStJkqTOsciVJElS51jkSpIkqXOa9MmVuu/tR7edQJLaZ09mdUjTx/puT/L1JDcnecuoQ0mSJEmr0eSxvpuAC4DTgZOBVyU5edTBJEmSpJVqspJ7KnBzVX2zqr4PXAS8fLSxJEmSpJVrUuQeD9x2wPv5/rEfkWRnktkkswsLC8PKJ0mSJA1saN0VqmpXVc1U1czExMSwhpUkSZIG1qTIvR044YD3k/1jkiRJ0rrUpMi9BnhakukkjwN2AJ8YbSxJkiRp5Zbtk1tVDyV5PfAZYBPwgaq6aeTJpLVkb0hJkjql0cMgquoy4LIRZ5EkSZKGwsf6SlKLpqamOOKIIzjyyCN/+LrjjjvajiVJG55FriS17JOf/CT79u374eu4445rO5IkbXipquEPmiwAtw5xyK3AXUMcT+uHc9tdzm0zpwC3APe1nGMQzm13Obfd1dW5fUpVLdm7diRF7rAlma2qmbZzaPic2+5ybptJcgvwW1X1ubazNOXcdpdz212H49y6XUGS2vexJPf0Xx9rO4wkdUGj7gqSpJF6xUZayZWkjWCjrOTuajuARsa57S7ntruc2+5ybrvrsJvbDbEnV5K6aiPuyZWkjWCjrORKkiRJjbmSK0mSpM5xJVeSJEmdY5ErSZKkzrHIlSRJUudY5EqSJKlzLHIlSZLUOSN54tnWrVtrampqFENLkiRJAMzNzd1VVRNLnRtJkTs1NcXs7OwohpYkSZIASHLrwc65XUGSJEmdY5ErSZKkzmm8XSHJJmAWuL2qzhhdJEmHk1MuPKXtCJL6bnjtDW1HkIZmkD25bwT2AkeNKIskSZLW2IMPPsj8/Dz79+9vO8pBjY+PMzk5ydjYWOPPNCpyk0wCLwHeAfz7lcWTJEnSejM/P8/mzZuZmpoiSdtxfkxVsbi4yPz8PNPT040/13RP7vnAm4AfrCCbJEmS1qn9+/ezZcuWdVngAiRhy5YtA680L1vkJjkD+E5VzS1z3c4ks0lmFxYWBgohSZKk9qzXAvcRK8nXZCX3ecDLktwCXAScluTDj76oqnZV1UxVzUxMLNmTV5IkSfoxmzZtYtu2bT983XLLLasec9k9uVV1LnAuQJIXAr9TVa9e9TdLkiRp3Rl215smXTuOOOIIrrvuuqF+r31yJUmS1DkDPda3qq4ArhhJEkmHJftySpLuv/9+tm3bBsD09DSXXnrpqsccqMiVJEmShs3tCpIkSVIDFrmSJEnqHItcSZIkdY57ciVJkvRDbdwQvG/fvqGP6UquJEmSOsciV5IkSZ2z7HaFJOPAF4DH96+/pKr+YNTBJEnSPxr2U6iWYt9qdUmTPbkPAKdV1b4kY8BVSf5bVX1pxNkkSZK0BqqKJG3HOKiqGvgzy25XqJ5HdgOP9V+Df5MkSZLWnfHxcRYXF1dUSK6FqmJxcZHx8fGBPteou0KSTcAc8FTggqq6evCIkiRJWm8mJyeZn59nYWGh7SgHNT4+zuTk5ECfaVTkVtXDwLYkxwCXJnlWVd144DVJdgI7AU488cSBQkiSJKkdY2NjTE9Ptx1j6AbqrlBV9wB7gO1LnNtVVTNVNTMxMTGkeJIkSdLgli1yk0z0V3BJcgTwIuBrI84lSZIkrViT7QrHAhf29+U+Bri4qj412liSJEnSyi1b5FbV9cBz1iCLJEk6CHvYSoPxiWeSJEnqHItcSZIkdY5FriRJkjrHIleSJEmdY5ErSZKkzrHIlSRJUudY5EqSJKlzlu2Tm+QE4L8ATwIK2FVVfzrqYFLXnHLhKW1HkKRDshevuqTJE88eAs6pqmuTbAbmklxeVV8dcTZJkiRpRZbdrlBV36qqa/t/3wfsBY4fdTBJkiRppQbak5tkit4jfq8eSRpJkiRpCBoXuUmOBP4GOLuq7l3i/M4ks0lmFxYWhplRkiRJGkijIjfJGL0C9yNV9bdLXVNVu6pqpqpmJiYmhplRkiRJGsiyRW6SAO8H9lbVe0cfSZIkSVqdJiu5zwPOAk5Lcl3/9eIR55IkSZJWbNkWYlV1FZA1yCJ1mv0nJUlaOz7xTJIkSZ1jkStJkqTOsciVJElS51jkSpIkqXMsciVJktQ5FrmSJEnqHItcSZIkdc6yfXIBkmwH/hTYBLyvqt410lQrdMqFp7QdQZKkDct+3uqSJo/13QRcAJwOnAy8KsnJow4mSZIkrVST7QqnAjdX1Ter6vvARcDLRxtLkiRJWrkmRe7xwG0HvJ/vH5MkSZLWpaHdeJZkZ5LZJLMLCwvDGlaSJEkaWJMi93bghAPeT/aP/Yiq2lVVM1U1MzExMax8kiRJ0sCaFLnXAE9LMp3kccAO4BOjjSVJkiSt3LItxKrqoSSvBz5Dr4XYB6rqppEnkyRJklaoUZ/cqroMuGzEWVbN/n6SJEkCn3gmSZKkDrLIlSRJUudY5EqSJKlzUlXDHzRZAG4d4pBbgbuGOJ7WD+e2u5zb7nJuu8u57a6uzu1TqmrJ3rUjKXKHLclsVc20nUPD59x2l3PbXc5tdzm33XU4zq3bFSRJktQ5FrmSJEnqnI1S5O5qO4BGxrntLue2u5zb7nJuu+uwm9sNsSdXkiRJGsRGWcmVJEmSGttwRW6Sc5JUkq1tZ9FwJPkPSa5Pcl2SzyY5ru1MGo4k70nytf78XprkmLYzaTiS/NskNyX5QZLD6o7trkqyPcnXk9yc5C1t59FwJPlAku8kubHtLGttQxW5SU4Afgn4h7azaKjeU1U/VVXbgE8Bv99yHg3P5cCzquqngL8Hzm05j4bnRuDfAF9oO4hWL8km4ALgdOBk4FVJTm43lYbkg8D2tkO0YUMVucCfAG8C3EjcIVV17wFv/wnOb2dU1Wer6qH+2y8Bk23m0fBU1d6q+nrbOTQ0pwI3V9U3q+r7wEXAy1vOpCGoqi8Ad7edow2PbTtAU0leDtxeVV9J0nYcDVmSdwCvAb4L/HzLcTQavwn8ddshJC3peOC2A97PAz/dUhZpKNZVkZvkc8CTlzj1NuCt9LYqaAM61NxW1cer6m3A25KcC7we+IM1DagVW25u+9e8DXgI+MhaZtPqNJlbSVqv1lWRW1W/uNTxJKcA08Ajq7iTwLVJTq2qb69hRK3QweZ2CR8BLsMid8NYbm6T/DpwBvALZc/CDWWA/2+18d0OnHDA+8n+MWnDWldF7sFU1Q3ATzzyPsktwExV3dVaKA1NkqdV1f/uv3058LU282h4kmynt4/+X1XV/2s7j6SDugZ4WpJpesXtDuBX240krc5Gu/FM3fSuJDcmuZ7elpQ3th1IQ/MXwGbg8n6LuL9sO5CGI8mZSeaBnwU+neQzbWfSyvVvEH098BlgL3BxVd3UbioNQ5LdwP8CfjLJfJJ/13amteITzyRJktQ5ruRKkiSpcyxyJUmS1DkWuZIkSeoci1xJkiR1jkWuJEmSOsciV5IkSZ1jkStJkqTOsciVJElS5/x/Mu14uPZkHVwAAAAASUVORK5CYII=
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@@ -20463,8 +21477,10 @@ Name: C, dtype: bool</pre>
 
 </div></div></section><section><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
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+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[86]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[94]:</div>
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      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">df_demo</span><span class="p">[</span><span class="s2">&quot;F&quot;</span><span class="p">]</span> <span class="o">&lt;</span> <span class="mi">0</span><span class="p">,</span> <span class="p">[</span><span class="s2">&quot;A&quot;</span><span class="p">,</span> <span class="s2">&quot;F&quot;</span><span class="p">]]</span>\
@@ -20482,6 +21498,8 @@ Name: C, dtype: bool</pre>
 </div>
 
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+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
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@@ -20495,7 +21513,10 @@ Name: C, dtype: bool</pre>
 
 
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
+"
+class="
+jp-needs-light-background
 "
 >
 </div>
@@ -20508,8 +21529,10 @@ Name: C, dtype: bool</pre>
 
 </div></section><section><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[87]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[95]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">df_demo</span><span class="p">[</span><span class="s2">&quot;F&quot;</span><span class="p">]</span> <span class="o">&lt;</span> <span class="mi">0</span><span class="p">,</span> <span class="p">[</span><span class="s2">&quot;A&quot;</span><span class="p">,</span> <span class="s2">&quot;F&quot;</span><span class="p">]]</span>\
@@ -20533,6 +21556,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -20546,7 +21571,10 @@ Name: C, dtype: bool</pre>
 
 
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@@ -20558,7 +21586,11 @@ Name: C, dtype: bool</pre>
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 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h2 id="Combine-Pandas-with-Matplotlib">Combine Pandas with Matplotlib<a class="anchor-link" href="#Combine-Pandas-with-Matplotlib">&#182;</a></h2><ul>
 <li>Pandas shortcuts very handy</li>
@@ -20575,16 +21607,26 @@ Name: C, dtype: bool</pre>
 </li>
 </ul>
 
+</div>
+</div>
 </div>
 </div></section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
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 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h3 id="Option-1:-Pandas-Returns-Axis">Option 1: Pandas Returns Axis<a class="anchor-link" href="#Option-1:-Pandas-Returns-Axis">&#182;</a></h3>
 </div>
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[88]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[96]:</div>
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      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">ax</span> <span class="o">=</span> <span class="n">df_demo</span><span class="p">[</span><span class="s2">&quot;C&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">4</span><span class="p">))</span>
@@ -20599,6 +21641,8 @@ Name: C, dtype: bool</pre>
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
+"
+class="
+jp-needs-light-background
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 >
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@@ -20624,14 +21671,22 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div></section><section>
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+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
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+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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 <h3 id="Option-2:-Draw-on-Matplotlib-Axes">Option 2: Draw on Matplotlib Axes<a class="anchor-link" href="#Option-2:-Draw-on-Matplotlib-Axes">&#182;</a></h3>
 </div>
+</div>
+</div>
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+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[89]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[97]:</div>
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      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">4</span><span class="p">))</span>
@@ -20646,6 +21701,8 @@ Name: C, dtype: bool</pre>
 </div>
 
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@@ -20659,7 +21716,10 @@ Name: C, dtype: bool</pre>
 
 
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OdGFbyyz/DQED7o25x2dcrw6Ner+Gn1Pq/sV0RE/JMKKfFJOTmWJ6YnEhkWwnM9Gnl135HhoYzuH0vTKiW474vl/Lkxyav7FxER/6FCSnzSl0t2snjrYZ66rgHloiK9vv+iEWFMGNiaWtFFGTZpKUu3H/Z6BhER8X0qpMTn7E9O59Uf19G2dhluiq3qWI4SRcKZPCSOCiUiGTh+CWv2HHMsi4iI+CYVUuJznv12NSezc3ilVxPHb44ZHRXBlKFxREWEMWDsYjYnpTqaR0REfIsKKfEpsxL38vOa/Tx4dV1qlC3qdBwAKpcszJShcRgD/cbEs+tImtORRETER6iQEp9xLC2TZ2euoVGl4gxtX9PpOP+lVnQxJg2O43hGFv3GxHMgJd3pSCIi4gNUSInPeHXWOg4fP8nrfZoSFup7P5oNKxVn/KDWHEjJoP+YxRxNO+l0JBERcZjvfVpJUFq4+SBfLtnJ0A41aVy5hNNxzqpl9VJ8OiCWrQePc/v4JaRmZDkdSUREHKRCShyXnpnNk9MTqV6mCA9cWdfpOOfVrk5ZPry1Oat3H+OOiQmkZ2Y7HUlERBzikULKGDPOGHPAGLPaE9uT4PLunI1sO5TGq72aULhQqNNx8qRzowq8dWMz/tp6iOGfLyMzO8fpSCIi4gBPnZGaAHTx0LYkiKzefYxP/9zCTbFVaFunrNNxLsj1zSvzYs/GzFl3gIenriQ7xzodSUREvMwjkxZba+cZY2p4YlsSPLKycxgxfRWlihTiqWsbOh0nX/q1qU5Kehav/7SeohFhvNKrseP3vhIREe/xSCGVF8aYYcAwgGrVqnlrt+LDxs7fyurdyXx0WwtKFAl3Ok6+/ePy2qSkZ/LR3M0UjwxjRNf6KqZEvGRLUiqPT1tFo0olePDqupQo7L/vJeKfvFZIWWtHA6MBYmNj1QcS5LYdPM7bszdwdcPydG1cwek4F+3Ra+qRmpHFJ/O2EBUZxvArYpyOJBLwflu/n/u/XAEWlm4/wncr9/B41/rc0KIKISH6Y0a8Q1ftiddZa3lyRiKFQkN4sWdgdIUZY3iueyN6N6/Mm79sYMKCrU5HEglY1lpG/r6JIRMTqFa6CLMe6MB397anRtmiPPb1Km4YtZDVuzU3pniHCinxun8v3cXCzYcYcW19KpSIdDqOx4SEGP51Q1M6NyzPc9+t5eulu5yOJBJwjmdkcc/ny3jj57/p3rQSX9/VliqlitCoUgn+feelvHljM7YfSqPHh/N55pvVHEvLdDqyBDhP3f7gC2ARUM8Ys8sYM8QT25XAcyAlnZe+X0vrGqXp2yrwxsqFhYbwwa3NaV+nLI99vZJZiXudjiQSMLYfOk7vjxby0+p9PHVtA9675ZL/umVKSIjhhpZV+O2RyxlwaQ0+i99Op7fmMnXJTnJ0Va0UEGOt93+4YmNjbUJCgtf3K86757NlzF67n1kPdKB2dDGn4xSYtJOuOfkSdx9jzO2t6Fg32ulIIn7tz41JDP98OQAf9G3OZXn4nVq7J5lnv11NwvYjNK9Wkhd7NvbpmRPEdxljllprY8+0TF174jW/rNnHD4l7ue/KOgFdRAEUKRTG+EGtiSkXxZ2TE1iy7bDTkUT8krWW0fM2c/u4xVQoHsnM4e3yVESBa37Mf991KW/d2Iydh0/Q/cP5PP1NoubJFI/SGSnxiuT0TK5++w9KFSnEd/e2J9wHJyUuCAdTM7jpk0UkJWfwxbA2+mtY5AKcOJnNiOmr+HbFHq5tUoE3bmhG0Yj8XWyenJ7JO7M3MHHhNkoWKcRj19TjptiqurpP8kRnpMRxr89aT1JKBq/1aRo0RRRA2WIRTBkSR/HC4QwYt5hNB1KcjiTiF3YdSaPPxwuZuXIPj15Tj5G3tsh3EQVQPDKcf3ZvxA/3daB2dFFGTE+k98cLSdylq/vk4gTPJ5o4ZvHWw3wWv4NB7WpySdWSTsfxukolCzNlaBwhxtBvzGJ2Hk5zOpKIT1u4+SA9PlzAziNpjLu9Ffd0quOx26Q0qFicqXdeyjs3N2PXkRP0GDmfJ2ckcuS4uvskf1RISYFKz3Sdmq9SqjAPd67rdBzH1CxblClDW3MiM5t+Y+M5kJzudCQRn2OtZfyCrfQfu5jSRQvx7T3t6FS/nMf3Y4yhV/Mq/PZIRwa1rclXS3ZyxVtz+WLxDl3dJxdMhZQUqJG/b2JL0nFe6dWEIoW8diN9n1S/QnEmDGpFUkoG/cbG6y9gkVzSM7N55N+reP67tXSqV44Zd7elVgFflFI8Mpxnuzfkh/vaE1M+iiemJ9LrowWs3Hm0QPcrgUWFlBSY9fuS+XjuZnq3qJznq2wCXfNqpRhzeyzbDqUxcPxiUjOynI4k4ri9x05w8yeLmLZsF/dfGcPo/i2JivTenHn1KxTnq2FtePfmS9hzLJ3rP1rAE9PV3Sd5o0JKCkR2juXxaYmUKBzOM9c1dDqOT2lbuywf3dqCNXuSGTJhCemZ2U5HEnHMkm2H6f7BfDYdSOWT/i158Oq6jlxJZ4zh+uaV+e3hjgxpV5OpCTvp9NZcPovfTra6++QcVEhJgZiwcBsrdx7l2e4NKVW0kNNxfM5VDcvz1k3NWLztMHd/toyTWTlORxLxKmstU/7aTt/RfxEVGc4397TjmkbOT2AeFRnO090a8uN9HahXPoqnZqym10cLWKHuPjkLFVLicTsPp/Hmz39zRf1y9GhWyek4PqvnJZV5+fom/Lb+AA9NXaG/eiVoZGRl8+SMRJ7+ZjXtY8ryzT3tiCkf5XSs/1KvQhRfDmvDe7dcwr5j6fT6aAEjpq3isLr75DTBPfpXPM5ay1PfrCbEwIvXN/bYJcuB6ta4aqSkZ/LqrPUUiwjj1d5N9JpJQDuQnM5dU5aybMdR7ulUm4eurkeoj94U0xhDz0sqc0X9crz/60bGL9jGrNX7ePSaevRtXc1nc4t36YyUeNSM5buZtyGJx7rUp3LJwk7H8Qt3dqzN8E51+HLJTl7+YR1OzDYg4g3Ldhyh2wfzWbc3hZG3tuDRa+r7RTESFRnOU9c1ZNb9HWhYsThPf7Oa60cuYPmOI05HEx+gQko85mBqBi98v5YW1UrSr011p+P4lYc712Vg2xqMmb+V93/d5HQcEY+bumQnt3zyFxHhIUy/uy3XNa3odKQLFlM+is/viOP9vs05kJJOr48W8vjXqziUmuF0NHGQuvbEY178fi3HM7J4rU9Tv/gr05cYY3i2W0NSM7J4Z84GoiLDGNy+ptOxRC5aZnYOL36/lkmLttO+Tlk+6Nvcry9AMcbQo1ml/3T3jZu/lZ/W7OORznW5Na663vuCkM5IiUf8vv4A367Ywz2d6lDXxwaN+ouQEMNrvZvQtXEFXvh+LVOX7HQ6kshFOZiawW1j4pm0aDvDLqvFhEGt/LqIyq1YRBhPXtuAWfd3oFGl4jzz7Rp6jpzPMnX3BR0VUnLRUjOyeGpGIjHlivGPy2s7HcevhYWG8O4tl9Ahpiwjpq/ih1V7nY4kki+Ju47R44P5rNx5lPduuYQnr21AWABOWB5TPorPhsbxQd/mHEw5Se+PFvLov1dyUN19QSPwfqrF6978+W/2JqfzWp+mRISFOh3H70WEhfJJ/5a0qFaKB75azty/DzgdSeSCTF+2ixtGLcQYw7R/tKXnJZWdjlSgjDF0b1aJXx/uyJ0dazFj+W6ueHMukxZt021NgoAKKbkoS7cfYeKibQxoU52W1Us5HSdgFCkUxrhBrahbPoq7pixl8dbDTkcSOa8s93ioh6aupHm1kswc3o7GlUs4HctrikaE8UTXBvz0QAeaVCnBs9+uofsH81m6Xb+/gUyFlOTbyawcRkxbRcXikTzapb7TcQJO8chwJg1uTeWShRk8YQmJu445HUnkrA4fP8mAcYsZO38rA9vWYPKQOMoUi3A6liPqlItiypA4Rt7agiNpJ+nz8SIeUXdfwFIhJfn20dxNbDyQyku9GlMsQheAFoQyxSKYMjSOEoXDGTAuno37U5yOJPI/1u5JpseH80nYfoQ3bmjKcz0aER6A46EuhDGG65pWZM5DHbmrY22+XbGbTm/OZcKCrWRla0qoQBLcP+mSbxv3pzDy903uy4DLOx0noFUsUZjPhsYRFhpCv7Hx7Dyc5nQkkf/4buUeen+8gKxsy9Q7L+XG2KpOR/IpRSPCGNG1Pj89cBmXVC3Jc9+tpfuHC0jYpu6+QKFCSi5YTo7l8WmrKBoRxrPdGzodJyjUKFuUKUPiyMjK4dYxf7HvWLrTkSTIZedYXpu1nnu/WE7jSiWYeW87Lqla0ulYPqt2dDEmDW7NR7e14FjaSW4YtYiHpq4gKUXdff5OhZRcsCnx21m24yjPdmtI2SAdA+GEehWimDioNYdTT9JvbLwmTxXHHEvLZNCEJYz6YzO3xVXj8zvaUC4q0ulYPs8Yw7VNKjLn4Y7cfXltvlu5hyvenMt4dff5NRVSckF2Hz3B67PW0yGmLL2aB/Ylzb6oWdWSjLm9FTsPp3H7uMUkp2c6HUmCzIb9KfQYOZ9Fmw/ySq8mvNyrCYXC9FFyIYoUCuOxLu7uvmolef67tXT7YL6uzvVT+umXPLPW8vSMRHIsvNKrCcZoKgQnXFq7DKP6tWTd3mSGTkjgxMlspyNJkPhp9V6uH7mAtJPZfDmsDbfGVXM6kl871d03ql8LUtKzuOmTRTz01QoOpKjr3p+okJI8+27VXn7/O4mHO9elaukiTscJap3ql+Odmy9hyfbD3DVlKSez1C0gBScnx/L2L39z15RlxJSP4rvh7WlZvbTTsQKCMYYujSsy+6HLuKdTbb5ftZcr3/yDsfPV3ecvVEhJnhw5fpLnZ66hWZUSDGqnyXR9QfdmlXi1VxP+2JDEg1+t0B2UpUAkp2dyx6QE3v9tEze2rMJXw9pQoYTGQ3lakUJhPHpNfX5+8DKaVy/Fi9+7uvvitxxyOpqchwopyZOXfljHsROZvNanqWY39yG3tK7G09c14IfEvTwxfRU5KqbEgzYnpXL9yAX8sSGJF3o24l83NCUyXNNAFaSaZYsycVArRvVrSUp6FjeP/osHvlzOgWR19/kq3UVRzmvehiSmLdvF8E51aFCxuNNx5DRDO9QiOT2L93/dSLGIcJ7p1kDj1+SizVm7nwe/WkGhsBCmDI2jTa0yTkcKGq7uvgp0rBvNR3M38ckfW5iz7gAPXBXD7W1rBP3NTn2NjoacU9rJLJ6ckUit6KIMv6KO03HkLB68KoZB7WowbsFW3p2z0ek44sdycizv/7qRoZMSqF62CDPvba8iyiGFC4XycOd6/PzgZcTWKMVLP6yj2/vz+UvdfT5FhZSc09u/bGDXkRO81lun9H2ZMYZnrmvIjS2r8N6vGxnz5xanI4kfSs3I4u7PlvH27A30al6Zr+9qS+WShZ2OFfRqli3K+IGtGN2/JakZWdwy+i/u/3I5+9Xd5xPUtSdntXLnUcYt2MptcdVoXVNX6Pi6kBDDa32acvxkFi/9sI6oyDBubqXL0yVvth08zrDJCWw6kMrT1zVgSPua6iL2IcYYOjeqQIeYaD6eu4lR87YwZ+1+HriqLgPbqbvPSXrl5Ywys3N4fNoqoqMieLxrfafjSB6Fhhjevbk5HetGM2J6It+v2uN0JPEDf2xIoseH8zmQksGkwXEM7VBLRZSPKlwolIc612P2g5fRumZpXv5xHde+9yeLNqu7zykqpOSMRs/bwvp9KbzYszHFI8OdjiMXoFBYCKP6taRV9dI88OUKfl9/wOlI4qOstYz6YzODxi+mUsnCfDe8Pe1jyjodS/KgepmijBvYik8HxHIiM5u+n/7FvV8s1zycDlAhJf9jc1Iq7/26keuaVKRzowpOx5F8KFwolDEDY6lfMYq7pizV4FT5H2kns7j3i+W8Nms9XZtUZPrdbXWjXT9jjOHqhuWZ81BH7rsyhp/X7OPKt+Yyet5mMnUzT6/xSCFljOlijPnbGLPJGDPCE9sUZ+TkWJ6YnkhkWAj/7NHQ6ThyEYpHhjNpcBzVShdhyIQlrNx51OlI4iN2Hk6jz8eL+CFxL493qc+HfZtTpJCGzPqryPBQHrq6LrMfvIw2tcrwyo/r6frenyzcdNDpaEHhogspY0woMBLoCjQE+hpj9Ansp75YsoPFWw/z9HUNNZt7AChdtBBThsZRulghbh+/mL/3pTgdSRy2YNNBun84n91H0hg/sBX/uLy2xkMFiOplijJ2YCvGDIglIyubW8fEM/zzZeruK2CeOCPVGthkrd1irT0JfAn09MB2xcv2HUvntR/X07Z2GW6MreJ0HPGQ8sUj+WxIGyLCQug3Np7th447HUkcYK1l7PytDBi3mOhiEXw7vD2X1yvndCwpAFc1LM/sBzvywFUxzF67nyvemsuoPzZrTs4C4olCqjKwM9f3u9yPiR+x1vLMt6s5mZ3Dq72b6C/UAFOtTBGmDIkjKzuH28bEs/fYCacjiRelZ2bz8NSVvPj9Wq6sX44Z97SjZtmiTseSAhQZHsoDV9Vl9oMdaVu7jGss3HvzWKDuPo/z2mBzY8wwY0yCMSYhKSnJW7uVPPpp9T5mr93PQ1fXpXoZvcEGopjyUUwaHMfRtEz6jYnnUGqG05HEC/YcPcGNoxYxffluHrq6LqP6taRYhMZDBYtqZYow5vZWjBsYS2a25bYx8dzz2TL9MeVBniikdgNVc31fxf3Yf7HWjrbWxlprY6Ojoz2wW/GUY2mZPDtzDY0qFWdI+5pOx5EC1KRKCcbeHsuuIycYMG4xyemZTkeSAhS/5RDdP5jP1oPH+XRALPddGUOIJh0PSlfUL88vD17Gg1fVZc66/Vz51h98PFfdfZ7giUJqCRBjjKlpjCkE3ALM9MB2xUte+XEdh4+f5PU+TQnT3XEDXlytMozq35IN+1MYMmEJJ05mOx1JPMxay+RF27htTDwlCofzzT3tuLpheadjicMiw0O5/6oY5jzUkXZ1yvL6T+vp8t48/tyoXqKLcdGfmtbaLGA48DOwDphqrV1zsdsV71i46SBfJexkaIeaNK5cwuk44iWd6pXj3Zubs3T7Ee6cspSMLBVTgSIjK5sR0xJ55ts1XFY3mm+Gt6NOuWJOxxIfUrV0ET4dEMv4ga3IzrH0H7uYuz9byp6j6u7LD2Ot9fpOY2NjbUJCgtf3K/8tPTOba96dB8DPD1ymSYmD0NQlO3ls2iq6Nq7AB32b64ykn9ufnM6dk5eyYudR7r2iDg9eVVddeXJO6ZnZfDpvCyPnbsJgGH5FHYZ2qElEmD4PcjPGLLXWxp5pmd41g9i7czay/VAar/ZuoiIqSN3UqirPdGvIrNX7GDE9kZwc7/9hJZ6xdPsRun0wnw37U/j4thY83Lmeiig5r8jwUO69MobZD3akQ0xZ3vj5b7q++yfzNqi7L69USAWp1buP8emfW7g5tipta2turWA2pH1NHrgqhq+X7uKF79fixFlquThfLt7BLaMXUTg8lBl3t6Nrk4pORxI/U7V0EUYPiGXCoFbkWMuAcYu5a/JSdqu777x0DWwQysrO4fFpqyhdtBBPXtvA6TjiA+6/MoaU9CzGzt9KVGQYD3eu53QkyYOTWTm88P0apvy1gw4xZfmgb3NKFinkdCzxY5fXK8fPD5bh03lb+PD3Tcx96wD3XhGj7r5zUCEVhMbO38qaPcl8fFsLShQJdzqO+ABjDE9f14DjGVl88NsmoiLDGHZZbadjyTkkpWRw92dLWbLtCHd2rMVj19QnVF154gERYaEMvyKG65tX5qXv1/HGz3/z9dJd/LN7Q90N/wzUtRdkth08ztuzN9C5YXm6NK7gdBzxIcYYXu7VhG5NK/LKj+v5PH6H05HkLFbuPEr3D+aTuPsY7/dtzhNdG6iIEo+rUqoIo/q3ZOLg1gAMHL+EOycnsOtImsPJfIsKqSBireXJGYkUCg3hhZ6NNQ2M/I/QEMPbN11Cp3rRPPVNIt+u+J9764rDvl66ixs/WURoiGHaP9rSo1klpyNJgOtYN5qfHujAo9fUY96Gg1z19h988OtG0jN12xRQIRVU/p2wi4WbDzHi2vpUKBHpdBzxUYXCQvi4X0ta1yjNw1NX8uu6/U5HEiAzO4fnZq7hkX+vpGW1Unx3b3saVdK938Q7IsJCuadTHeY83JFO9crx1uwNdHl3Hr//fcDpaI5TIRUkDqSk89IPa2ldszR9W1VzOo74uMjwUMbcHkujSsX5x2fLWLhZE5066VBqBgPGLmbCwm0MbleTyUNaU7qoBpWL91UuWZiP+7Vk8pDWhBjDoPFLuGNSAjsPB293nwqpIPH8zLWkZ+Xwau8mureM5ElUZDgTBrWmRpki3DExgeU7jjgdKSit3n2MHh8uYOmOI7x1YzOe7d5QN04Vx3WIiWbWAx14rEs95m90dfe9H6TdffptDAK/rNnHD4l7uf/KGGpHa6oIybtSRQsxZUgcZYpFMHD8EtbvS3Y6UlD5dsVubhi1kBxr+fquS+nTsorTkUT+IyIslLsvr8OvD3fkqgbleXv2Bq55dx6/rQ+u4QAqpAJccnomz3y7mvoVohh2WS2n44gfKlc8ks+GxlE4PJR+Yxaz7eBxpyMFvOwcy6s/ruP+L1fQtHJJZg5vT9MqJZ2OJXJGlUoWZuRtLZgyJI7QEMPgCQkMnRg83X0qpALc67PWk5SSwet9mhKu7gDJp6qlizBlaGtyrOW2MfGa3LQAHU07ycDxi/lk3hYGXFqdKUPjiI6KcDqWyHm1jynLT/dfxoiu9Vm42dXd9+6cDQHf3adP1gC2eOthPovfweB2NWlWtaTTccTP1SkXxaTBrUk+kUm/sfEcTM1wOlLAWb8vmR4fLiB+y2Fe692EF3o2plCY3qbFfxQKC+GujrVd3X0Ny/PunI10fmdeQF/9q9/QAJWemc2IaauoUqowD3Wu63QcCRCNK5dg3KBW7Dl6ggFjF3PsRKbTkQLGj4l76f3RQtIzs/liWBtuaa2ra8V/VSxRmJG3tuCzoXEUCgthyMQEhkxYwo5Dgdfdp0IqQH342ya2HDzOK72aUKSQZgISz2lVozSf9I9l44EUBk9YQtrJLKcj+bXsHMsbP6/n7s+WUa9CFN/d256W1Us5HUvEI9rVKcuP93Xgia71WbTlEFe98wfvzA6s7j4VUgFo3d5kRv2xmT4tqnBZ3Win40gA6lg3mvdvac7yHUe4c/JSMrIC503Rm46dyOSOSQmM/H0zN8dW5cthbShfXDfLlcBSKCyEOzvW5reHL+eaRhV479eNXP3OH8xZGxjdfSqkAkx2jmXEtFWUKBzO09c1cDqOBLCuTSryrxua8efGg9z3xXKysnOcjuRXNh1IodfIBczbkMSL1zfmtT5NiAgLdTqWSIGpUCKSD/o25/M74ogIC2XopAQGT1jC9kP+fSWwCqkAM37BVlbuOsY/ezSilO58LAXshpZVeK57Q35es5/Hvl5FTo51OpJfmL12P9ePXEhyeiaf39GG/m2qa+5LCRpta5dl1v0deOraBsRvOcTV78zj7V/+5sRJ/zyzrcEzAWTn4TTe+mUDV9QvR/emFZ2OI0FiYLuapKRn8dbsDRSLDOP5Ho1UFJxFTo7l/d828u6cjTStUoJR/VpSqWRhp2OJeF14aAh3XFaLHpdU4uUf1vH+b5uYvnw3z3ZryNUNy/vVe4jOSAUIay1PzkgkxMBL1zf2qx9C8X/Dr6jDsMtqMWnRdt785W+n4/iklPRM7pyylHfnbKR3i8pMvfNSFVES9MoXj+T9vs354o42FCkUyrDJSxk0YYlf3fhXhVSAmLF8N39uPMjjXevrzVm8zhjDE13r07d1NUb+vplRf2x2OpJP2ZKUSq+PFvLb+gM8260hb93YjMhwjYcSOeXS2mX44b4OPH1dAxK2HaHzO/N4y0+6+9S1FwAOpmbwwvdraVGtJP3iqjsdR4KUMYaXrm9MakYWr81aT7GIMPq10c/j7+sPcN+XywkLMUwe3Jq2dco6HUnEJ4WHhjC0Qy16NKvEKz+u44PfNjF92W6e7d6Qzj7c3aczUgHghe/WkpaRzet9mhIS4ps/aBIcQkMMb9/UjCvrl+OZb1fz7YrdTkdyjLWWj+ZuYvDEJVQtVYSZw9uriBLJg3LFI3n3luZ8OawNxSLCuHPyUgaOX8JWH+3uUyHl535bv5+ZK/dwT6c6xJSPcjqOCOGhIYy8rQVtapbhoakrmR0g94q5EGknsxj++XL+9dPfdG9aiWn/aEvV0kWcjiXiV9rUKsP397XnmW4NWbr9CNe8M483fl7vczcBNtZ6/3Ll2NhYm5CQ4PX9BprUjCw6v/0HxSLD+P7eDpqTS3xKakYWt42JZ93eZMYPbEW7IDkbs+NQGsMmJ7Bhfwojutbnjg61fLZLQsRfHEhO59VZ65mxfDeVSxbmmW4NuKZRBa/9bhljllprY8+0TJ+8fuzNn/9mb3I6r/ZuqiJKfE6xiDAmDmpFzTJFuWNSAku3H3E6UoGbv/EgPUbOZ++xdCYMas2wy2qriBLxgHLFI3nn5kuYeuelREWGcdeUZQwYt5gtSalOR1Mh5a+Wbj/CxEXbuP3SGpqXS3xWySKFmDykNeWiIhg0fjFr9yQ7HalAWGv5dN4WBoyLp3xUJDOHt9P0TCIFoHXN0nx/b3ue7daQFTuOcs278/hh1V5HM6mQ8kMZWdk8Pm0VFYtH8sg19ZyOI3JO5YpHMmVoHEUjwhgwLt4n/oL0pBMns3ngqxW8/OM6OjeswPS721K9TFGnY4kErLDQEAa3r8mvj3TkhpZVaFXD2ZMJKqT80MdzN7PpQCov925CsQjdwUJ8X5VSRZgyNA5rod+YeHYfPeF0JI/YdSSNG0YtZObKPTzSuS4f92tBUf1OinhFuahIXu3dlHIOT/StQsrPbNyfwsjfN9Hzkkp0qlfO6TgieVY7uhiThrQmJSOLfmPiSUrJcDrSRVm0+RA9PlzAjkNpjL09luFXxGg8lEgQUiHlR7JzLI9PW0WxiDCe7dbQ6TgiF6xRpRJMGNSKfcfS6T82nmNpmU5HumDWWiYu3Ea/sfGUKhLON8PbcUX98k7HEhGHqJDyI1P+2s6yHUd5pltDyhSLcDqOSL60rF6a0QNasiXpOAMnLOZ4hm/dE+Zc0jOzefTrVfxz5ho61SvHN/e0o3Z0MadjiYiDVEj5id1HT/Cvn9ZzWd1oejWv7HQckYvSISaa9/s2Z9WuYwybnEB6pu/Pp7X32Alu/mQRXy/dxf1XxjC6f0uiIsOdjiUiDlMh5QestTw9I5EcCy9f31jjMCQgdGlcgX/1acqCTYe494vlZGbnOB3prBK2Hab7BwvYdCCVT/q35MGr62o6JhEBVEj5hZkr9/D730k8ck09TTMhAaVPyyq80LMRs9fu57GvV5GT4/2ZFs7ns/jt9P30L4pFhDLjnnZc06iC05FExIfoOl0fd/j4SZ7/bi3NqpZkYNsaTscR8bgBl9YgJT2LN37+m6IRobzY0zfOup7MyuGfM9fwxeIdXF4vmvdubk6JIurKE5H/dlGFlDHmRuA5oAHQ2lqrCfQ87KUf1pJ8IpPX+zQhVF0JEqDuvrw2yemZfPLHFqIiw3m8S31H8xxITucfny1j6fYj3H15bR7uXE+/fyJyRhd7Rmo10Bv4xANZ5DTzNiQxfdlu7r2iDvUrFHc6jkiBMcYwokt9UtOz+HjuZopFhHFPpzqOZFmx8yh3Tk4g+UQWH97anG5NKzmSQ0T8w0UVUtbadYBPnIYPNMczsnhyRiK1oos69oEi4k3GGF7s2ZjjGa5uvqjIMAZcWsOrGaYm7OTpGaspXyKC6Xe3pUFF/QEjIufmtTFSxphhwDCAatWqeWu3fuvt2RvYdeQEU++8lMjwUKfjiHhFSIjhjRubcfxkNs9+u4ZiEWH0blGlwPebmZ3DS9+vZeKi7bSrU4YP+7agVNFCBb5fEfF/571qzxgzxxiz+gz/el7Ijqy1o621sdba2OhozYp+Lit2HmX8gq30a1ON1jVLOx1HxKvCQ0P4oG9z2tUpw6Nfr+Kn1fsKdH8HUzO4bUw8Exdt544ONZk4qLWKKBHJs/OekbLWXuWNIOKSmZ3DiGmrKBcVyWMOD7gVcUpkeCij+8fSb2w8932xnLEDY+kQ4/k/wBJ3HePOyQkcOn6Sd25uRq/mBX/2S0QCi+4j5WNGz9vC+n0pvHh9Y4rrrskSxIpGhDFhYGtqRRdl2KSlLN1+2KPb/2b5bm4YtRCAaf9oqyJKRPLlogopY0wvY8wu4FLgB2PMz56JFZw2J6Xy3q8bua5JRa5uqElQRUoUCWfykDgqlIhk4PglrNlz7KK3meUeD/XAVyu4pGpJZt7bnsaVS3ggrYgEo4sqpKy1M6y1Vay1Edba8tbaazwVLNjk5FiemJZI4fBQnuvRyOk4Ij4jOiqCKUPjiIoIY8DYxWxOSs33to4cP8nA8UsYM38rA9vWYMrQOMpqAnARuQjq2vMRXyzZweJth3nqugZER+mNXSS3yiULM2VoHMZAvzHx7DqSdsHbWLsnmR4j57N462H+dUNTnuvRiPBQvQWKyMXRu4gP2Hcsndd+XE/b2mW4saXGaYicSa3oYkwaHMfxjCz6jYnnQEp6np/7/ao99Pl4ISezcvjqzjbcFFu1AJOKSDBRIeUway3PfLuazJwcXu3dRDc3FTmHhpWKM35Qaw6kZDBg7GKOpp085/rZOZbXf1rP8M+X07BScb67tz3Nq5XyUloRCQYqpBw2a/U+Zq/dz0NX16V6maJOxxHxeS2rl2J0/1i2JB1n4PglpGZknXG9Y2mZDJ6whI/nbubWuGp8cUcbykVFejmtiAQ6FVIOOpaWybPfrqFx5eIMblfT6TgifqN9TFk+vLU5ibuPccfEBNIzs/9r+Yb9KfQcOZ+Fmw/ycq/GvNKrCYXC9HYnIp6ndxYHvfLjOo6kneS13k0J06BXkQvSuVEF3ryxKX9tPcTwz5eRmZ0DwM9r9tFr5AJSM7L54o423BZX3eGkIhLIvDbXnvy3hZsO8lXCTu7qWFv3sBHJp17Nq3A8I5unv1nNw1NXUqNsUd7/dSPNqpbkk34tqVBCXXkiUrBUSDngxMlsnpiRSI0yRXjgqhin44j4tX5tqpOSnsXrP60H4IaWVXjp+saa7FtEvEKFlAPe/XUD2w+l8fkdcXqzF/GAf1xem2IRoUSEhXJjbBVd/SoiXqNCystW7z7GmD+3ckurqrStXdbpOCIBo/+lNZyOICJBSCOcvSgrO4fHp62idNFCPNG1gdNxRERE5CLpjJQXjZm/lTV7kvn4thaUKBLudBwRERG5SDoj5SXbDh7nndkbuKZRebo2qeh0HBEREfEAFVJeYK3liemJFAoN4YWejZ2OIyIiIh6iQsoL/p2wi0VbDvHEtQ0oX1z3tREREQkUKqQK2IHkdF76YS2ta5bmllaacV5ERCSQqJAqYM99t4b0rBxe692EkBDd20ZERCSQqJAqQD+v2cePifu4/8oYakUXczqOiIiIeJgKqQKSnJ7Js9+upn6FKIZdVsvpOCIiIlIAdB+pAvLarPUkpWTw6YBYwkNVr4qIiAQifcIXgPgth/g8fgdD2tekaZWSTscRERGRAqJCysPSM7N5YnoiVUsX5sGr6zodR0RERAqQuvY87MPfNrHl4HEmD2lNkUJ6eUVERAKZzkh50Lq9yYz6YzN9WlShQ0y003FERESkgKmQ8pDsHMvj01ZRskg4T1/XwOk4IiIi4gUqpDxk/IKtrNp1jH92b0SpooWcjiMiIiJeoELKA3YeTuOtXzZwZf1ydGta0ek4IiIi4iUqpC6StZYnZyQSGmJ48frGGKNpYERERIKFCqmLNH3Zbv7ceJDHu9SjUsnCTscRERERL1IhdREOpmbw4g9raVm9FLfFVXc6joiIiHiZCqmL8MJ3a0nLyOa13k0ICVGXnoiISLBRIZVPv63fz8yVe7inUx1iykc5HUdEREQcoEIqH1Izsnhqxmrqli/GPy6v7XQcERERcYgKqXx446f17EtO57U+TSkUppdQREQkWKkKuEBLtx9m0l/buf3SGrSoVsrpOCIiIuIgFVIXICMrm8enJVKpRGEevaae03FERETEYRdVSBlj3jDGrDfGrDLGzDDGlPRQLp/00e+b2XQglZd6NaZoRJjTcURERMRhF3tGajbQ2FrbFNgAPHHxkXzThv0pfDR3E9dfUolO9co5HUdERER8wEUVUtbaX6y1We5v/wKqXHwk35OdY3l82iqKRYTxTLeGTscRERERH+HJMVKDgVlnW2iMGWaMSTDGJCQlJXlwtwVvyl/bWb7jKM92b0iZYhFOxxEREREfcd6BPsaYOUCFMyx6ylr7rXudp4As4LOzbcdaOxoYDRAbG2vzldYBu4+e4F8/reeyutFcf0llp+OIiIiIDzlvIWWtvepcy40xA4FuwJXWWr8pkPLCWsvTMxKxwCu9GmOMpoERERGR/3exV+11AR4Delhr0zwTyXfMXLmH3/9O4pHO9ahSqojTcURERMTHXOwYqQ+BKGC2MWaFMWaUBzL5hMPHT/L8d2tpVrUkt7et4XQcERER8UEXdTMka20dTwXxNS99v5bkE5m83qcJoSHq0hMREZH/pTubn8EfG5KYvnw3d19em/oVijsdR0RERHyUCqnTHM/I4snpidSOLso9VwTsCTcRERHxAM1zcpq3Z29g99ET/PuuS4kIC3U6joiIiPgwnZHKZcXOo4xfsJV+barRqkZpp+OIiIiIj1Mh5XYyK4cR01ZRLiqSx7vUdzqOiIiI+AF17bmNnreZ9ftS+HRALFGR4U7HERERET+gM1LApgOpvP/rJq5rWpGrG5Z3Oo6IiIj4iaAvpHJyLE9OT6RwoVCe697I6TgiIiLiR4K+kPp88Q4WbzvM09c1IDoqwuk4IiIi4keCupDadyyd12atp12dMtzQsorTcURERMTPBG0hZa3l6W9Wk5WTwyu9mmCMpoERERGRCxO0hdSs1fuYs24/D11dl+plijodR0RERPxQUBZSR9NO8uy3a2hSuQSD29V0Oo6IiIj4qaC8j9QrP67jSNpJJg5uRVhoUNaSIiIi4gFBV0Us2HSQqQm7GHZZLRpVKuF0HBEREfFjQVVInTiZzZMzEqlZtij3XxnjdBwRERHxc0HVtffunA1sP5TGl8PaEBke6nQcERER8XNBc0Zq9e5jfPrnFvq2rkqbWmWcjiMiIiIBICgKqczsHB77ehVlikUwomsDp+OIiIhIgAiKrr2x87eydm8yo/q1oEThcKfjiIiISIAI+DNSWw8e553ZG+jSqAJdGld0Oo6IiIgEkIAupKy1PDF9FYXCQni+ZyOn44iIiEiACehCamrCTv7acpgnr21A+eKRTscRERGRABOwhdSB5HRe/mEdcTVLc3NsVafjiIiISAAK2ELqnzPXkJ6Vw6u9mxASYpyOIyIiIgEoIAupn1bvY9bqfTxwVQy1oos5HUdEREQCVEAWUsUiwriqQTnu6FDL6SgiIiISwALyPlLtY8rSPqas0zFEREQkwAXkGSkRERERb1AhJSIiIpJPKqRERERE8kmFlIiIiEg+qZASERERyScVUiIiIiL5pEJKREREJJ9USImIiIjkk7HWen+nxiQB2wt4N2WBgwW8D18WzO0P5rZDcLdfbQ9ewdz+YG47eKf91a210Wda4Egh5Q3GmARrbazTOZwSzO0P5rZDcLdfbQ/OtkNwtz+Y2w7Ot19deyIiIiL5pEJKREREJJ8CuZAa7XQAhwVz+4O57RDc7Vfbg1cwtz+Y2w4Otz9gx0iJiIiIFLRAPiMlIiIiUqD8vpAyxnQxxvxtjNlkjBlxhuURxpiv3MvjjTE1HIhZIPLQ9oHGmCRjzAr3v6FO5CwIxphxxpgDxpjVZ1lujDHvu1+bVcaYFt7OWJDy0P7LjTHHch37Z72dsaAYY6oaY343xqw1xqwxxtx/hnUC8vjnse2BfOwjjTGLjTEr3e1//gzrBOR7fh7bHrDv+QDGmFBjzHJjzPdnWObccbfW+u0/IBTYDNQCCgErgYanrXM3MMr99S3AV07n9mLbBwIfOp21gNp/GdACWH2W5dcCswADtAHinc7s5fZfDnzvdM4CantFoIX76yhgwxl+9gPy+Oex7YF87A1QzP11OBAPtDltnUB9z89L2wP2Pd/dvoeAz8/08+3kcff3M1KtgU3W2i3W2pPAl0DP09bpCUx0f/01cKUxxngxY0HJS9sDlrV2HnD4HKv0BCZZl7+AksaYit5JV/Dy0P6AZa3da61d5v46BVgHVD5ttYA8/nlse8ByH89U97fh7n+nD/QNyPf8PLY9YBljqgDXAWPOsopjx93fC6nKwM5c3+/if99U/rOOtTYLOAaU8Uq6gpWXtgP0cXdtfG2MqeqdaD4hr69PILvU3Q0wyxjTyOkwBcF9+r45rr/Ocwv443+OtkMAH3t3984K4AAw21p71mMfYO/5eWk7BO57/rvAY0DOWZY7dtz9vZCSc/sOqGGtbQrM5v+rdQl8y3BNadAM+AD4xtk4nmeMKQZMAx6w1iY7ncebztP2gD721tpsa+0lQBWgtTGmscORvCYPbQ/I93xjTDfggLV2qdNZzsTfC6ndQO6Ku4r7sTOuY4wJA0oAh7ySrmCdt+3W2kPW2gz3t2OAll7K5gvy8rMRsKy1yae6Aay1PwLhxpiyDsfyGGNMOK5C4jNr7fQzrBKwx/98bQ/0Y3+KtfYo8DvQ5bRFgfqe/x9na3sAv+e3A3oYY7bhGsZyhTFmymnrOHbc/b2QWgLEGGNqGmMK4RpgNvO0dWYCt7u/vgH4zbpHo/m587b9tDEhPXCNpwgWM4EB7qu32gDHrLV7nQ7lLcaYCqfGBxhjWuP6XQ+IDxN3u8YC66y1b59ltYA8/nlpe4Af+2hjTEn314WBq4H1p60WkO/5eWl7oL7nW2ufsNZWsdbWwPVZ95u1tt9pqzl23MO8sZOCYq3NMsYMB37GdRXbOGvtGmPMC0CCtXYmrjedycaYTbgG597iXGLPyWPb7zPG9ACycLV9oGOBPcwY8wWuq5PKGmN2Af/ENfgSa+0o4EdcV25tAtKAQc4kLRh5aP8NwD+MMVnACeCWQPgwcWsH9AcS3eNFAJ4EqkHAH/+8tD2Qj31FYKIxJhRXgTjVWvt9MLznk7e2B+x7/pn4ynHXnc1FRERE8snfu/ZEREREHKNCSkRERCSfVEiJiIiI5JMKKREREZF8UiElIiIikk8qpERERETySYWUiIiISD6pkBIRERHJp/8DhPkMw3YBYOsAAAAASUVORK5CYII=
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
+"
+class="
+jp-needs-light-background
 "
 >
 </div>
@@ -20671,17 +21731,25 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div></section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li>We can also get fancy!</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[90]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[98]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="p">(</span><span class="n">ax1</span><span class="p">,</span> <span class="n">ax2</span><span class="p">)</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">ncols</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">sharey</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">4</span><span class="p">))</span>
@@ -20695,6 +21763,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -20708,7 +21778,10 @@ Name: C, dtype: bool</pre>
 
 
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
+"
+class="
+jp-needs-light-background
 "
 >
 </div>
@@ -20720,7 +21793,11 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div></section></section><section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
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 <h2 id="Aside:-Seaborn">Aside: Seaborn<a class="anchor-link" href="#Aside:-Seaborn">&#182;</a></h2><ul>
 <li>Python package on top of Matplotlib</li>
@@ -20731,11 +21808,15 @@ Name: C, dtype: bool</pre>
 <li>→ <a href="https://seaborn.pydata.org/">https://seaborn.pydata.org/</a></li>
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[91]:</div>
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 <div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>
@@ -20749,8 +21830,10 @@ Name: C, dtype: bool</pre>
 
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 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="p">[[</span><span class="s2">&quot;A&quot;</span><span class="p">,</span> <span class="s2">&quot;C&quot;</span><span class="p">]]</span><span class="o">.</span><span class="n">plot</span><span class="p">();</span>
@@ -20762,6 +21845,8 @@ Name: C, dtype: bool</pre>
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@@ -20787,17 +21874,25 @@ Name: C, dtype: bool</pre>
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 <h3 id="Seaborn-Color-Palette-Example">Seaborn Color Palette Example<a class="anchor-link" href="#Seaborn-Color-Palette-Example">&#182;</a></h3><ul>
 <li><a href="https://seaborn.pydata.org/tutorial/color_palettes.html">Documentation</a></li>
 </ul>
 
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 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">sns</span><span class="o">.</span><span class="n">palplot</span><span class="p">(</span><span class="n">sns</span><span class="o">.</span><span class="n">color_palette</span><span class="p">())</span>
@@ -20809,6 +21904,8 @@ Name: C, dtype: bool</pre>
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@@ -20952,8 +22069,10 @@ Name: C, dtype: bool</pre>
 
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[97]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[105]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">sns</span><span class="o">.</span><span class="n">palplot</span><span class="p">(</span><span class="n">sns</span><span class="o">.</span><span class="n">color_palette</span><span class="p">(</span><span class="s2">&quot;cubehelix&quot;</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
@@ -20965,6 +22084,8 @@ Name: C, dtype: bool</pre>
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+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[98]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[106]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">sns</span><span class="o">.</span><span class="n">palplot</span><span class="p">(</span><span class="n">sns</span><span class="o">.</span><span class="n">color_palette</span><span class="p">(</span><span class="s2">&quot;colorblind&quot;</span><span class="p">,</span> <span class="mi">10</span><span class="p">))</span>
@@ -21004,6 +22129,8 @@ Name: C, dtype: bool</pre>
 </div>
 
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+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
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@@ -21017,7 +22144,9 @@ Name: C, dtype: bool</pre>
 
 
 <div class="jp-RenderedImage jp-OutputArea-output ">
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+<img src="data:image/png;base64,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+class="
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@@ -21029,17 +22158,25 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div></section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
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 <h3 id="Seaborn-Plot-Examples">Seaborn Plot Examples<a class="anchor-link" href="#Seaborn-Plot-Examples">&#182;</a></h3><ul>
 <li>Most of the time, I use a regression plot from Seaborn</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
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+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[99]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[107]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="k">with</span> <span class="n">sns</span><span class="o">.</span><span class="n">color_palette</span><span class="p">(</span><span class="s2">&quot;hls&quot;</span><span class="p">,</span> <span class="mi">2</span><span class="p">):</span>
@@ -21053,6 +22190,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -21066,7 +22205,9 @@ Name: C, dtype: bool</pre>
 
 
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rSdm3z2Zl8ulnzQPZXwrWQSCaWwRkpWBxHVgkrnSyfLlLTO2vaSzpcutfbA86VrQ/7soVyAEBDuo5Vv8Ev1wXAYHwyH0WnoMKqQmmIQIFplkez50kWppdz50qaJqWygcH9ffL50cWqpuUzVUgdTSzUjP0DUEwYBIo+s9Hzp9yuklvKDwwdSBgyleL40LQmDAJHPlnq+dH6QyD9felFqyd1M1FEmtdTC1BLlYRAgqmFhITCg6xgoWpjOppZKrT2kVOH50r8oPl+6QmqJhwAFjy9BYO/evTh06BAA4Morr8QXvvAFP4ZBVLfyU0uX5D2ulILe3oRfTs8vCg5nsudLK4WTpomTRaklDYtTS9nfM7XUuDwPAkeOHMEbb7yBAwcOQAiBO+64A9/97nfxyU9+0uuhEDUcIQTW6BouNIyK50vnB4hpN7VkAZiwLEyUOV+6ePawVtPQzPOl657nQSAajeKBBx5AKBQCAFx00UUYHR31ehhEgVPpfOnZMuc8FJ8v/csS50uXOj6UqaX64evxku+99x527NiBb37zm7jwwgur/vXGU+lzHntIRA6lFGKWjfF0BhOZDMbTJibSGUykM5g1K/9P0gQQNQz0hnT0hAz0GAZ6QwaiIR1hLkwvS6euoWkV20Vk+RYEfv7zn+Ouu+7C3XffjU9/+tNLfh7PGK7PM3V/nkrhzWQSpy0LHZqGLZFIbjfkStTr9agmL65JNrVUPHNY6vnSpVJLLVVMLTXCz8lyN4vV5BnDx44dwz333IMHH3wQ119/vR9DIA/9PJXCy/E4NDjpg5ht4+V4HABWJRCQ9yqllooPAcoGiETR+dK/KpFa6tYWt9Lg+dLV5XkQGBsbw+c+9zns3r0bW7Zs8frLkw/eTCahAbkKEwMAlMKbySSDQIORQqDLbbFdfL70QpmS1tNu1VJSKYyYJkZKnC/dVWLm0K1pCDM4rJjnQeCrX/0qUqkUHn300dxjO3bswC233OL1UMgjpy0LkaL/rLr7OAVHi5RoKXO+dH5qqdT50tnA8dOi12zLppakxFpdz/2e50svna8Lw8vBNYH6y20+OzeHmG0X1JpnlEKrlLitvX1Fr12P16PaGuWaKKUwV6ZTa/wct62QEFjrBoZuTcP69mZE4pm6Pl+6odYEKFi2RCLOGoBS0OG0OrDcx4nKEUKgQ9PQUeZ86eKZQ8H50kph1LIwmp1tumtQEosPAQr6+dIMAlR12bx/NaqDKJiapUSzlFhX4hCgklVLto2MUrABTNs2piucL11cudToqSUGAfJEtic6UTXpQqBX19FbVLXU3tmMX0/NL1pzWMr50iGUbqfRXceppXwMAkTU8GSF1FKizG7p7PnSaVQ+X7rUnod6Si0xCBBRQ8rfoBiNx/DbmlFyNtokJdaVSS3NlAgOUyXOl0aJ86VLpZbW1GBqiUGAiBpO8QbFM6aFl1POjXqpaclK50ufKZo9ZH8tPl/610WpJQNYtCFurbuvwq/zpRkEiKjhLNqgKAQs9/GVrk0JIdCuaWjXNFxU9LlkidTSVF5qKQPglGXhVInUUvYQoOIZRFOVU0sMAkTUcPzaoBiREkNSYqjE+dIzJTbDTVkW0nBSS+XOl25x22lsaW7G5U1Nqz5mBgEiajgdmuZsUMx7zHQf94MmBKK6jmiJ1NK8W7I6ZZoFs4fi1NLk/Dw+EYms+poCgwARqtfllPxRvEExrVRNblAUQmCNpmGNpi0+X9pNLY2PjWBqfBQfnDyFhdH3Eb7yWhi/cdmqjYFBgAKPXU4bT/EGxaiu4bfD9RXYw1Ki591foP3fX8IlegidbS1Q83NIvPg8gM+sWiBgEKDAY5fTxpS/QbEu+yktxGC/9m+IzJ+BZpkQmQ6IkPP9pF5/hUGAaLWwyyn5yjQhpsYhxkYgTo1AnhqGODUCcWYOBW9B5s9A9Q0ARgj2zNSqfXkGAQq8WltEpAalFDB/5uyN3r3pi8lTEGXecCgAdjgCu6UVRrQXYiEGlU5Bdq1dtWExCFDgscsprbpMGmJiLO/dvXvDX4iVfYpqaobqG4TqH4TqH4LdN4h0bAGp11+G0EPobG6Gmp2GMk1Errx21YbKIECBxy6ntGxKAXOzkGMjEPnv7qfGIcqceaCkBKK9UH2DsPuHoPoGYPcNAWs6nINP8hgAYBhIH30DKpGAaGtHpBGqg1566SXs27cPmUwGt99+O2699VY/hkGUwy6ndE6pJMSp0cK8/alRiGSi7FNUSxvUwCBU3xBU/yDs3kGoaB9QVA5aiXHRh2Bc9CG0LvNQmXPxPAiMj49j9+7deOGFFxAKhbBjxw587GMfw8UXF/f2IyLygW1DzEwVvLOXp0YgKizGKk0HevudG32f86F6B4G2NR4OfHk8DwJHjhzB5s2b0dHRAQC49tpr8fLLL+Mv/uIvvB4KBZyAM/sWEBACMOv86FEqlPnlz5D+4fehTs8iE40C/2MLjIs+VPiX4gu5d/S5xdrxUYhMuuzrqo7OXO7e7huC6h2EWtsD1GkhgedBYGJiAtFoNPfnnp4evPPOO0t+fqWzMs/FSqXRCEV/nV0tfg+hpizlemQzrYYQ0PM+NCGgC6cKY8GysWBZsKs6Wm8E/Wck8dPjiL/2b5CaDtHaCnNuDuKVF9B62Ueg2wr28PtQIyehZmfKv0goBDkwBDG4DnJoHeTQBZCDQxAty78HrUSnrqGpCoHG8yBQ6lz78+mFsZKD5md50HzDKb4ezrt7ASncG76U0N3HpXJ+k1FON8dShACSSiFpWqjXn5TA/4zEziD14gsIz52GZmagJRPQ0ilnofbkr2GWeIrqWutU5fQ5VTmqbxCqay1Q3MEzBSDl07U1dMQa4aD53t5eHD16NPfniYkJ9PT0eD0MqnPZVI4GIKLJs+/sAWjK+ZxSQPGdvEzBRo5UwBohEDY0xCybKaJaZmYgJk456Zyx4bNlmLF5lFviV1KDuuAD7g1/EHbfgJO7Dwe3HHhJQcA0TehF3e/m5ubQ3t5+3l/w4x//OPbs2YOZmRk0NTXh1VdfxVe+8pXzfh0Khvy8vS7z0jhKQRMCPeEQpEg5fznvfn2um30lSgEhCHRqGhakQqKOZwUNIVuGmb3JZz8mxyHs0sk7BcCONMFuaYXV1ATV1ISUacFua0fLLXd4O/4aVzEI/PjHP8bdd9+NqakpXHXVVXj44YfR2upMK26//XYcOHDgvL9gb28v7rvvPtx2223IZDK4+eabsWnTpuWNnhpK9mav5aVypHuzX/zuXix6l7/q41FAKwRCnBV4J51yyi7HRyDG3KqcseFzlGG25t7ZO+mcAWeT1X8cgtB0wDAgbQuWshD+6BUefjP1oWIQ2LlzJ770pS/hwx/+MHbt2oU77rgDzz77LEKhUMnc/lJt27YN27ZtW/bzqb5VyttrCpBlbvYreXe/EiHlzAriUiHOWcHqsG3g9LS7yWokl9IRM1PlN1lpGtDTl9tkVVCGWWqTla7nqoP0aBR6qeogqhwEkskkrrzySgDAE088gXvuuQd/9Vd/hb/7u7/zZHBU33KpHCEKqnI0OLl3ucy8vR+EAlrcWcE8ZwXnJ5lwb/J57+zHRyHSqbJPUWvanXf2A0POBqu+Qai1vYC+9GXM7CYrgIvllVS8orZtY3p6Gt3d3QCAxx57DDt27MDf//3fr/rpNlTfZDaVI8/e8DWlIN2bfu7Gvkp5e78YSqBLOmsFccuqy++haiwLYnrSfWfv7KiVYyMQp8uXYSrdgOrtBwacd/Z27wBU3xDgUxlmEFUMAn/yJ3+CG264AQ8//DCuvPJKNDU1Yd++ffiDP/gDjI+PezVGqiHZVE42b69JmVukLZe3b8T7ZAsEwpqGedtGJoizgth8YWO0UyMQ42MQZrniW0B1dkH1D+Xy9qpvEKq7Z3EZJnmqYhDYvn07Nm3ahFAolHtsYGAABw4cwDe+8Y2qD478k03lyGwqR0onjYPazNv7QYdAh9SQcGcFDRkLTNNpdeze6HON0ubPlH2KCoVznTCzzdFU7wAQWf1D0mnlKgaB0dFRfOADH1j0eHt7O37zN3+zaoMi7+SXYBp5JZgSyN306yVv7wcBoBkCIV1HzLKQrtdIoBQwP3c2b5/9mBgrX4YpBNDdA9Xv3ujdunt0dPPdfR2pGAQ+97nP5cpA7777buzZsyf3ud27d+OKK1huVU9K5e1zJZgok7f3Y6B1SFdAe73MCjJpJ3VTvMkqXn7hVDU15727d9M5PQNAXpaA6lPFIJBfBnry5Mmyn6Pakp+313OpHAUNwcrbey07KwjrOuZtG2nL5y5ESgGnZyDHhgs3WU1NnKPXfZ/THK3fSeM4ve7bF5VhUmOoGATyK4CKq4FYHeS/4ry9VrEE8+y/F+N3dWkKaBcSSUNiwTS9mRWkkrmbfHp2HMZ7v3b+nEqWfYpqbXPe2fdnUzmDUNFeQF96r3uqf0ueCZB/8vP2YSHQqmu5FE5B3h6o+xLMRiEANCk4awW2jdRqzQpsO68MM7tYOwwxO537Kyacn4msXK97t+be7h90Fmpba7/XPVXfOfcJzM3NQSkFy7JyvwcAq8zByLQyQgAym7cHCkowpQK6QwZsJJm3rxPZWUFiObOChRjE+GhhOmd8FCJToQyzowvauguQWduX21Fbz73uqfoqBoGf/exn2Lx5c+7G/7GPfSz3OaaDVqZU64Rz5e2pfjUp5NYKFs0KLKugDDNXoXPmdNnXU6EwVN8AkGuh4HbDbGpGZ1cLEtwdS0tUMQicOHHCq3E0rPy8fcFhJijV8ph5+0YmbIW2+TMwTo0gOfI+MJZXhllhZq26o2dPsXJ31aJUr3uiZfDloPlGVLblMZi3DyKVycCeGIM1ehLW2DCssRHYY8NQC/MAnJ+JRc+JNLllmHmHm/T0B7rXPVUfg8AyZPP20s3b627eXpZsneDgvb4xKaWg5madG/3oSdhjI7DGhmFPjTudMksRArKnD3r/EOz+QaR6B2H2DgDtnSzDJM8xCFRQKW9fsgQzgK0TgkSlkrBOjTg3+lPOu3trbBhIxMs+R7S0QhtYB61/EFr/Osi+Qcjefgjj7CariAAW3LUC/uiQ1zwPAseOHcMjjzwC0zTR0dGBRx55BIODg14PowDz9pT57/9C6vVXYM9MQXR2I/Q/N0M2t7ipnGHYY8OwpyfLv4CmQ+vtP3uz7x+E7BuEaGs/ZxGFpoB2KZGUEjHTgsUfLPKQ50Hg/vvvx1NPPYWNGzfiX/7lX/Dwww9j3759nnxtgbOtE0odVci8ffCoRByp//w/SP3Hy076xrKgTs8g+auflX2OaO+E3j8IbWAIss+94Ud7nVOsljsOBYQBGLqGBdtGkrMC8oinQSCdTuPee+/Fxo0bAQCXXHIJ/umf/smzr98mZZm8PVsnNDplWbCnJnLv6q2xk7DGRqAq9LqHlNAGL4A+MATZPwTZN+Skc6rY614qYI2UCEuJec4KyAOeBoFQKITt27cDcDai7d27F1dffbUnX1spwGDePhDs2Lx7oz/7YY+PAqZZ/klGCLKpCSLSBOi6c1B5PI7We/63Z+POcg66B7p0DTHOCqjKqhYEDh06hF27dhU8tmHDBjzzzDNIp9N44IEHYJom7rrrrvN63e5unjgUjbb5PYSaoDIZpH79HsLD7yN98n2k3F+tudNlnyMiTQivuwChoXUIr1uP0LoLML3/G7Dm5yHD4dzfs1MphPv7fb/WPQDiloW4ZUN3e0QBQMyyUGnPfmdXiyfjqyf1fk06dQ1NVdj5LZTHDYIWFhbw2c9+Fh0dHXjiiScKDqxZiunpGOya7tNbXdFoGyYn5/0ehqeUUlBnTuelcoZhjQ7DnhwH7DK3QiEgo725hVqtfwiybwCic+2ihdrMf/8XEi8+D6HrgBECMmko00TTDZ+B8RuXefAdnlsufelSAlhQCokSB9/zPN3FGuGadBo6jGXc+qQUFd88+7IwvH79enz5y19m6wlaRKVTsMZH3Zv9SO7Gryr0uhfNLdD6h9xSzCGIvgFovQMQoXDZ5+RzbvSfyVUHya61iFx5bc0EAGBx+lIooNU9+D7Gg+9pBTwNAsePH8fhw4dx8cUX44YbbgAA9PT04Omnn/ZyGOSD/BJM2bUWoSuugd7XD2vUudFbp9wyzKmJ8gs2UoPW0wdtYMh9Zz+I6Ic3Yiajr/gNhfEbl9XUTX+pQjz4nlbI83TQSjEdVH/poPTbR5E4+E0IpaCUDaRTQMZEpXos0dYOfWDILcN0P3r6nJRNnnq8HtViCmetoKWjue5TH6uN6aAaSgdR41K2DXtqYlFljnJ73Zf8+dV1aH1Ozb3WN3i2FLOVi9/nK3vEZUSTmBOo7SMuqWYwCNCy2AvzuT45uQXb8TEgky7/pFwZZgRK06GSSbT9r50Q7HW/agSANbqO+GofZkMNi0GAKlKmCXvyVN7N3rnxqwq97hEOQ+sbhD7g9MpJ/7+3YMdjkPndMNMpyK61DABV4hxmI5A0dMRMC3Z9ZX3JQwwCBMAtw5yfy7U8zt30J8aAcr3uhYDsjuaqcmTfoFOd09kNkdfrXnSuReLF56HSqYISzMiV13r03QWVQEQBIXfTGRvUUSkMAgGkMhnY46OFO2rHhqEWYmWfI5qa3TJMtzKnfwhyiWWY9VCC2cikAtYIgZQ7K2ArCsrHINDAlFJQp2cK8/Zj7iarsmWYElrUKcOU/UPQ+gYg+9dBtHeuqAyzXkswG4dAWLFBHS3GINAgVNLpdZ+72bv97pFMlH2OaG2DNjAEvX8IcmAdZO8gZE8/hGF4OHLyUn6DuphpweSsIPAYBOqMsm1YUxOwc8cWOou19sw5et339TvpnFwqZxByTbt3A6eakW1Q16lrZVtPUHAwCNQwFV/IvbvPvsM/c2rUWWAtQ3Z0unX36yD710H2Day41z01JraeIIBBoCY4ve7HnTNqczf9c/S6D4Wg9Q44ZZgD65zcfd8QRHN9d0ok77H1RLAxCHjMnj9T2A3z1AjsU6OAVb7XveyO5rphdnzoIsRa1kJ2RwvKMIlWqgUCYV1HzLKQ5qwgMBgEqkSZGdjjY4sqc1SsfJ8bEWkqLMPsG4TsHYSInN1k1RptQ4K9cqhKsq0nEu6sgLGg8TEIrJBSCmputqDtca4M8xy97p2qnCFo7rGForOb7bXJdwJAszsrmLdtpNl6oqExCJwHlU7BOjVauKN2bBgqES/7HNHS6u6oHXRu9v1DkL39EMb5HaZD5DVNAR1CImFILLD1RMNiEChB2TbU7PTZHbWjw7BPDcOeniy/yUrL9rp3Wyj0D0L2rYNoW8N391TXmhQQZuuJhhWIIFB8oEk4r2WBSsQLN1mNjcA6NQykypdhijUd0PuzZZhuzX2JXvdEjYKtJxqXb3et48eP4/d///fx4x//uKpfJ3t+LDQNMEKwJ08h/vzT0KJ9sGNncr3uS9INtypnCFp/ttf9IGQLe91TELH1RCPyJQgkEgl8+ctfRiaTqfrXSr3+CmBbzs0+792LdfLdgr8nu9bm3eydFshybQ/LMImKsPVEY/ElCDz66KO4/fbb8aMf/ajqX8uemXKOtMr+oEoJEWmCMAxErr7eOcWqdwCiqbnqYyFqFGw90Tg8DwKHDx9GMpnE7/7u7y7r+ZXOyiwl3deHzOwsRHOzk7OXEiqdht7RgYFt25Y1Br9Fo0xH5eP1WMzra5KwbMybFswaDgWdXfW9m75T19BUhUOYqhYEDh06hF27dhU8tmHDBsRiMTzzzDPLft3zPWhebLkK1ovPuwFAA1IJKNOEseWqujygnAerF+L1WMyvayIApFGbrSca4aB5GDpiVThoXijl3T/X/v378Q//8A9oaXEi8okTJ7Bx40Z8/etfR2vr0t7hn28QACpXB9Ub3vQK8Xos5vc1MaEQs+2aaj3RCEGg09Bh1HsQKHbJJZfgpz/96Xk9ZzlBoJH4/R+81vB6LFYL10QBSKB2Wk8wCJQPAix9IaJVl2090anrCGm8zdQyX/91zncWQET1Jdt6os3QIblxviYxRBNR1TUpoEvXEdEkGAtqC4MAEXki23pijaFDYz+tmsEgQEQeclpPODXvnBXUAgYBIvJctvVEu6FD56zAVwwCROQLpYCQOyto1jXOCnzCIEBEvhIKaIVAu6FBZwmR5xgEiKgmhJRAl9TQomtghsg7DAJEVFNaINCpaTA4K/AEgwAR1RwdAh1SQ6uucZNZlTEIEFFNYusJb/DKElFNY+uJ6mIQIKK6wNYT1cEgQER1g60nVh+DABHVmbOtJzgrWDkGASKqS1IB7Ww9sWIMAkRUt/JbTzSx9cSyeB4EJiYmcOedd+KGG27Ajh07MDw87PUQiKjBCAW0sfXEsngeBL7whS9g69atePHFF7F9+3Y88cQTXg+BiBpUSAl0aWw9cT50L7/YzMwMTpw4ga997WsAgJtuuglbtmzxcghE1OiU03oirGmYt21kauGk+xomlFKeXaG3334bf/u3f4vf+q3fwltvvYWBgQF88YtfxODgoFdDIKIAsZVCzLKwYNmo91DgHMSjrfrrVi0IHDp0CLt27Sp4bP369fjhD3+Iffv2YevWrdi/fz++/e1v47nnnlvy605Px2AHOLJHo22YnJz3exg1g9djMV6TxdZ0t+D9qXmkLdvvoSxbp6HDWMatT0qB7u7Wsp/3dCbw/vvv49Of/jSOHTsGAEgkEti8eTPefvvtJb8GgwD/g+fj9ViM12Sx7DVJCGDBNFGPt5BqBQFPF4YvuOAC9Pb24vXXXwcAvPbaa7j00ku9HAIRBVh+6wlyeLowDAB79+7FQw89hMcffxytra149NFHvR4CEQVYtvVE2NAxb1qwvUuG1CTPg8CGDRvOaw2AiGj1Oa0nDF1DzLaRaoCF4+XinIiIAoutJxgEiCjggt56gkGAiAhO64k1InitJxgEiIhczqwgWK0nGASIiIq5rSc6NQ1Gg88KGASIiMrQIdAhNbTqWsOeb8wgQERUgQDQDIFOXUeoATeZNd53RERUBZoCOoREm6E31KyAQYCI6Dw0WuuJxvguiIg8JHPlpDpknZcQMQgQES2L03qiS9cQ0WTdbjJjECAiWoF6bz3BIEBEtEL13HqCQYCIaJXUY+sJBgEiolWUbT3RmW094feAzsHzIDA8PIxbb70V27dvxx/+4R9iZGTE6yEQEVWdyLae0Gu79YTnQeDJJ5/E9ddfj4MHD+Kaa67B7t27vR4CEZFnar31hOdBwLZtxGIxAM5B85FIxOshEBF5qpZbTwilvD1g8/3338eOHTugaRoymQy+9a1vYf369V4OgYjIN7ZSWLBsxCzrvI607NQ1NGnaqo+nakHg0KFD2LVrV8FjGzZsQCqVwp/+6Z/i6quvxiuvvIK9e/fi29/+NsQS62unp2Ow7aCeBgpEo22YnJz3exg1g9djMV6TxWrxmtgCmHfPN16KTkOHsYxbn5QC3d2tZT/v6UxgZmYG1113Hd56663cY5s3b8Z3vvMddHV1Lek1GARq74fZT7wei/GaLFa710QhJQTmTQv2OW7F1QoCnianOjs7EQ6HcfToUQDAsWPH0NLSsuQAQETUWJzWE50+tp7QvfxiQgjs3bsXX/nKV5BMJtHS0oI9e/Z4OQQiopqjua0nUlJi3rRgebhU62kQAIBNmzZh//79Xn9ZIqKaphQQgtOQLqYUkub5LRwvV23VKhERBZzXrScYBIiIakxx64lqxgLP00FERLQ02dYToSr2IGIQICKqcYaq3lSA6SAiogBjECAiCjAGASKiAGMQICIKMAYBIqIAYxAgIgowBgEiogCru30CshbPZ/MYr0EhXo/FeE0WC+o1Odf37fnJYkREVDuYDiIiCjAGASKiAGMQICIKMAYBIqIAYxAgIgowBgEiogBjECAiCjAGASKiAGMQICIKMAYBIqIAYxCoM8eOHcNNN92E7du344/+6I8wMjLi95BqxpNPPok9e/b4PQzfvPTSS/jUpz6FT37yk/j617/u93BqRiwWw+/93u9heHjY76HUJAaBOnP//fdj586dOHjwILZt24aHH37Y7yH5bn5+Hg8++CD+8R//0e+h+GZ8fBy7d+/G888/j4MHD+Jb3/oWfvGLX/g9LN+9/fbbuOWWW/Dee+/5PZSaxSBQR9LpNO69915s3LgRAHDJJZdgbGzM51H57/Dhw7jwwgvxx3/8x34PxTdHjhzB5s2b0dHRgebmZlx77bV4+eWX/R6W7/75n/8ZDz30EHp6evweSs2qu1bSQRYKhbB9+3YAgG3b2Lt3L66++mqfR+W/G264AQACnQqamJhANBrN/bmnpwfvvPOOjyOqDTt37vR7CDWPQaBGHTp0CLt27Sp4bMOGDXjmmWeQTqfxwAMPwDRN3HXXXT6N0HuVrknQleoIL0Qw++fT+WEQqFHXXXcdrrvuukWPLyws4LOf/Sw6Ojqwb98+GIbhw+j8Ue6aENDb24ujR4/m/jwxMcEUCC0J1wTqzP3334/169fjySefRCgU8ns4VCM+/vGP480338TMzAwSiQReffVVXHHFFX4Pi+oAZwJ15Pjx4zh8+DAuvvjiXB68p6cHTz/9tL8DI9/19vbivvvuw2233YZMJoObb74ZmzZt8ntYVAd4vCQRUYAxHUREFGAMAkREAcYgQEQUYAwCREQBxiBARBRgLBElWgHLsvDss8/ipZdegmVZyGQy2Lp1K+69917u46C6wBJRohX44he/iLm5OezcuRNtbW2Ix+P4/Oc/j5aWFjz++ON+D4/onBgEiJbp5MmT2LZtG9544w20trbmHp+cnMSPfvQjXHPNNT6OjmhpuCZAtEzHjx/HxRdfXBAAACAajTIAUN1gECBaJiklbNv2exhEK8IgQLRMmzZtwq9+9SvEYrGCx8fHx3HnnXcimUz6NDKipWMQIFqm3t5ebNu2DQ8++GAuEMRiMXzpS19CR0cHIpGIzyMkOjcuDBOtgGmaeOqpp/Dqq69C0zSk02lcffXVuPvuu1kiSnWBQYCIKMCYDiIiCjAGASKiAGMQICIKMAYBIqIAYxAgIgowBgEiogBjECAiCrD/D2EFLQZ0BSiHAAAAAElFTkSuQmCC
+"
+class="
 "
 >
 </div>
@@ -21078,21 +22219,29 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div></section><section>
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 <ul>
 <li>A <em>joint plot</em> combines two plots relating to distribution of values into one</li>
 <li>Very handy for showing a fuller picture of two-dimensionally scattered variables</li>
 </ul>
 
+</div>
+</div>
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+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[100]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[108]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">x</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">multivariate_normal</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span> <span class="p">[[</span><span class="mi">1</span><span class="p">,</span> <span class="o">-.</span><span class="mi">5</span><span class="p">],</span> <span class="p">[</span><span class="o">-.</span><span class="mi">5</span><span class="p">,</span> <span class="mi">1</span><span class="p">]],</span> <span class="n">size</span><span class="o">=</span><span class="mi">300</span><span class="p">)</span><span class="o">.</span><span class="n">T</span>
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">x</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">multivariate_normal</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span> <span class="p">[[</span><span class="mi">1</span><span class="p">,</span> <span class="o">-</span><span class="mf">.5</span><span class="p">],</span> <span class="p">[</span><span class="o">-</span><span class="mf">.5</span><span class="p">,</span> <span class="mi">1</span><span class="p">]],</span> <span class="n">size</span><span class="o">=</span><span class="mi">300</span><span class="p">)</span><span class="o">.</span><span class="n">T</span>
 </pre></div>
 
      </div>
@@ -21102,8 +22251,10 @@ Name: C, dtype: bool</pre>
 
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
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+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[101]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[109]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">sns</span><span class="o">.</span><span class="n">jointplot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="n">y</span><span class="p">,</span> <span class="n">kind</span><span class="o">=</span><span class="s2">&quot;reg&quot;</span><span class="p">);</span>
@@ -21115,6 +22266,8 @@ Name: C, dtype: bool</pre>
 </div>
 
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@@ -21128,7 +22281,9 @@ Name: C, dtype: bool</pre>
 
 
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
+"
+class="
 "
 >
 </div>
@@ -21140,7 +22295,11 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div></section></section><section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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 <h2 id="Task-6">Task 6<a class="anchor-link" href="#Task-6">&#182;</a></h2><p><a name="task6"></a>
 <span class="task" style="padding: 2px 8px; color: white; background-color: #b9d25f; float: right; text-weight: bolder;">TASK</em></span></p>
@@ -21151,11 +22310,15 @@ Name: C, dtype: bool</pre>
 <li>Tell me when you're done with status icon in BigBlueButton: 👍</li>
 </ul>
 
+</div>
+</div>
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+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[102]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[110]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">cols</span> <span class="o">=</span> <span class="p">[</span>
@@ -21177,8 +22340,10 @@ Name: C, dtype: bool</pre>
 
 </div></div></section><section><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[103]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[111]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[[</span><span class="s2">&quot;Runtime Program / s&quot;</span><span class="p">,</span> <span class="s2">&quot;Unaccounted Time / s&quot;</span><span class="p">,</span> <span class="o">*</span><span class="n">cols</span><span class="p">]]</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
@@ -21190,6 +22355,8 @@ Name: C, dtype: bool</pre>
 </div>
 
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+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
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@@ -21197,7 +22364,7 @@ Name: C, dtype: bool</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[103]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[111]:</div>
 
 
 
@@ -21273,8 +22440,10 @@ Name: C, dtype: bool</pre>
 
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[104]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[112]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[[</span><span class="s2">&quot;Unaccounted Time / s&quot;</span><span class="p">,</span> <span class="o">*</span><span class="n">cols</span><span class="p">]]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s2">&quot;bar&quot;</span><span class="p">,</span> <span class="n">stacked</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">4</span><span class="p">));</span>
@@ -21286,6 +22455,8 @@ Name: C, dtype: bool</pre>
 </div>
 
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@@ -21299,7 +22470,9 @@ Name: C, dtype: bool</pre>
 
 
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+class="
 "
 >
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@@ -21311,7 +22484,11 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div></section><section>
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+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <ul>
 <li>Make it relative to the total program run time</li>
@@ -21319,11 +22496,15 @@ Name: C, dtype: bool</pre>
 <li>Could be anythig, but we use a <strong>multi index</strong>!</li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[105]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[113]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_multind</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">set_index</span><span class="p">([</span><span class="s2">&quot;Nodes&quot;</span><span class="p">,</span> <span class="s2">&quot;Tasks/Node&quot;</span><span class="p">,</span> <span class="s2">&quot;Threads/Task&quot;</span><span class="p">])</span>
@@ -21336,6 +22517,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -21343,7 +22526,7 @@ Name: C, dtype: bool</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[105]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[113]:</div>
 
 
 
@@ -21544,8 +22727,10 @@ Name: C, dtype: bool</pre>
 
 </div></div></section><section><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[106]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[114]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_multind</span><span class="p">[[</span><span class="s2">&quot;Unaccounted Time / s&quot;</span><span class="p">,</span> <span class="o">*</span><span class="n">cols</span><span class="p">]]</span>\
@@ -21559,6 +22744,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
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@@ -21572,7 +22759,9 @@ Name: C, dtype: bool</pre>
 
 
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
+"
+class="
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 >
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@@ -21584,7 +22773,11 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div></section></section><section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h2 id="Next-Level:-Hierarchical-Data">Next <em>Level</em>: Hierarchical Data<a class="anchor-link" href="#Next-Level:-Hierarchical-Data">&#182;</a></h2><ul>
 <li><code>MultiIndex</code> only a first level</li>
@@ -21595,11 +22788,15 @@ Name: C, dtype: bool</pre>
 </li>
 </ul>
 
+</div>
+</div>
 </div>
 </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[107]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[115]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s2">&quot;Nodes&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
@@ -21611,6 +22808,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -21618,7 +22817,7 @@ Name: C, dtype: bool</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[107]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[115]:</div>
 
 
 
@@ -21696,7 +22895,7 @@ Name: C, dtype: bool</pre>
       <td>8.0</td>
       <td>185.023333</td>
       <td>10.0</td>
-      <td>True</td>
+      <td>1.0</td>
       <td>0.220000</td>
       <td>42.040000</td>
       <td>42.838333</td>
@@ -21720,7 +22919,7 @@ Name: C, dtype: bool</pre>
       <td>8.0</td>
       <td>73.601667</td>
       <td>10.0</td>
-      <td>True</td>
+      <td>1.0</td>
       <td>0.168333</td>
       <td>19.628333</td>
       <td>20.313333</td>
@@ -21744,7 +22943,7 @@ Name: C, dtype: bool</pre>
       <td>8.0</td>
       <td>43.990000</td>
       <td>10.0</td>
-      <td>True</td>
+      <td>1.0</td>
       <td>0.138333</td>
       <td>12.810000</td>
       <td>13.305000</td>
@@ -21768,7 +22967,7 @@ Name: C, dtype: bool</pre>
       <td>8.0</td>
       <td>31.225000</td>
       <td>10.0</td>
-      <td>True</td>
+      <td>1.0</td>
       <td>0.116667</td>
       <td>9.325000</td>
       <td>9.740000</td>
@@ -21792,7 +22991,7 @@ Name: C, dtype: bool</pre>
       <td>8.0</td>
       <td>24.896667</td>
       <td>10.0</td>
-      <td>True</td>
+      <td>1.0</td>
       <td>0.140000</td>
       <td>7.468333</td>
       <td>7.790000</td>
@@ -21816,7 +23015,7 @@ Name: C, dtype: bool</pre>
       <td>8.0</td>
       <td>20.215000</td>
       <td>10.0</td>
-      <td>True</td>
+      <td>1.0</td>
       <td>0.106667</td>
       <td>6.165000</td>
       <td>6.406667</td>
@@ -21846,7 +23045,11 @@ Name: C, dtype: bool</pre>
 </div>
 
 </div></section><section>
-<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
 <h3 id="Pivoting">Pivoting<a class="anchor-link" href="#Pivoting">&#182;</a></h3><ul>
 <li>Combine categorically-similar columns</li>
@@ -21862,11 +23065,15 @@ Name: C, dtype: bool</pre>
 <li>Might be aggregated, if needed</li>
 </ul>
 
+</div>
+</div>
 </div>
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 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[108]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[116]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_demo</span><span class="p">[</span><span class="s2">&quot;H&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="p">[(</span><span class="o">-</span><span class="mi">1</span><span class="p">)</span><span class="o">**</span><span class="n">n</span> <span class="k">for</span> <span class="n">n</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">5</span><span class="p">)]</span>
@@ -21879,8 +23086,10 @@ Name: C, dtype: bool</pre>
 
 </div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[109]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[117]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_pivot</span> <span class="o">=</span> <span class="n">df_demo</span><span class="o">.</span><span class="n">pivot_table</span><span class="p">(</span>
@@ -21897,6 +23106,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
 <div class="jp-OutputArea jp-Cell-outputArea">
@@ -21904,7 +23115,7 @@ Name: C, dtype: bool</pre>
 <div class="jp-OutputArea-child">
 
     
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[109]:</div>
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[117]:</div>
 
 
 
@@ -21975,8 +23186,10 @@ Name: C, dtype: bool</pre>
 
 </div></div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
 <div class="jp-Cell-inputWrapper">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[110]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[118]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
      <div class="CodeMirror cm-s-jupyter">
 <div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_pivot</span><span class="o">.</span><span class="n">plot</span><span class="p">();</span>
@@ -21988,6 +23201,8 @@ Name: C, dtype: bool</pre>
 </div>
 
 <div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
 
 
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@@ -22001,7 +23216,9 @@ Name: C, dtype: bool</pre>
 
 
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 <h2 id="Task-7">Task 7<a class="anchor-link" href="#Task-7">&#182;</a></h2><p><a name="task7"></a>
 <span class="task" style="padding: 2px 8px; color: white; background-color: #b9d25f; float: right; text-weight: bolder;">TASK</em></span></p>
@@ -22024,11 +23245,15 @@ Name: C, dtype: bool</pre>
 <li>Tell me when you're done with status icon in BigBlueButton: 👍</li>
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m4OWVnFT8s4dy6BXbtiCA3tXai8U6cubNq04bpvP77VKTkWERERcUEnT/6Ej48PPj4Fb3oLDn6MWrVqAbBx43qaNbvHvu16zGYz4eFzePnlVzGZCs+0rVXrNmrW9OLkyZ/L7wSqKCXHIiIiIi4oISEBP7+6RcojIzewbdtWwsJmFbv/6tUrCA5+jLvuanzd7fXr1+fcubNOidWV6IE8ERERERdkNBpwc3MrVLZs2dvExe1n6dIV+PsXTZx/64svPqdGDXc+/ng7ly+nAFCzZk0GDSp4u7HJZMJorH7jqEqORURERFxQQEADLl68YP8eGbmBb789wvLlq/D19S1x/w0b/vPA3apV7wHYE2OA8+d/ISCgoRMjdg1KjkVERETKIDvHzI43Q8ul3eI0bXo3qalXycjIwNvbm9Wr/xdvb2/GjBlurxMR8TbJyZdYufJvRES84/Cx09PTycjIoGnTZjcdv6tSciwiIiJSBulpWSWuR1weDAYD/foNZPfuj+nTpz+xsf+4br06de7Az8+/2Laee254oe+7dsXQv/9Ap8XqSqrfRBIRERGRW0SvXn355puvyc7OvmGdpKREunTp5nCbmZmZHD58iJ49+zgjRJejkWMRERERF2UymQgPX1Rsnbp161G3bj2H2/Ty8mLhwsWYTEbMZktZQ3Q5GjkWEREREbFRciwiIiIiYqPkWERERETERsmxiIiIiIiNHsgTERERKYPbb3PH5O7h9HbNuTlcSc0ttk5+fj7Tp0/htdfmkJGRwfz5s7h8OQWj0cCoUeN46KHWxe6/YcM6du7cAUCPHqEMGPA0mZmZzJ07g9dfXwgYnHU6LkPJsYiIiEgZmNw9ODXP+cueNZ62GSg+OY6OjiIwsA2enp4sXDiPdu3a06dPf86ePcPo0cPZunVnkVdM/+rcuQS2bo3i/fcjsVisPP10P9q3D6ZBg4a0ahXI1q2b6dmzr9PPq6rTtAoRERERF2S1WomK2kSnTl0BCA7uSOfOBesZBwQ0JDc3h6ysrBvub7FYyMvLIycnl7y8XKxWKyZTwbhpp05d2LRpA1artfxPpIrRyLGIiIiICzp58id8fHzw8fEBIDj4Mfu2jRvX06zZPfZt1/P73zeiU6eu9O0bgtVqJSQklHr16gNQq9Zt1KzpxcmTP9Os2d3leyJVjEaORURERFxQQkICfn51i5RHRm5g27athIXNKnb/gwfjOHHiONHRu4iO3snx4//H559/at9ev359zp076/S4qzolxyIiIiIuyGg0FJlPvGzZ22zfHs3SpStKfCve/v1f8eijj+Hl5YW3tw+dOnXln//81r7dZDJhNFa/VNGhM16yZAndu3ene/fuLFy4EIBXX32VLl26EBoaSmhoKJ9+WnCnERcXR0hICF26dGHx4sXlF7mIiIhINRYQ0ICLFy/Yv0dGbuDbb4+wfPkq/P2Ljij/t6ZNm7F//z7y8/Mxm818/XUcLVrca99+/vwvBAQ0LJfYq7IS5xzHxcWxb98+tm7disFg4Pnnn+fTTz/l+++/5/3338ff399eNzs7m6lTp7J+/Xrq16/P8OHD2bt3L8HBweV6EiIiIiLVTdOmd5OaepWMjAy8vb1Zvfp/8fb2ZsyY4fY6ERFvk5x8iZUr/0ZExDuF9g8J6cnZs2cYMuQp3NzcCApqT7duPQBIT08nIyODpk2bVeg5VQUlJsd+fn5MmTIFd3d3AJo0acL58+c5f/4806dP5/z583Tu3JnRo0dz7NgxGjVqRMOGBXcZISEhxMbGKjkWERGRW5Y5N8e27Jrz2y2OwWCgX7+B7N79MX369Cc29h/XrVenzh34+fkXKTcajYwZM4ExYyYU2bZrVwz9+w+8ucBdXInJcbNm/7ljOHPmDDt37mTDhg0cOnSI2bNn4+XlxfDhw4mKisLLyws/Pz97fX9/fxITE8snchEREZEqoOBFHcWvR1xeevXqS1jYK3TvHoqnp+d16yQlJdKlSzeH28zMzOTw4UMsXPims8J0KQ4v5fbzzz8zfPhwJk+eTOPGjVm6dKl925AhQ4iOjubxxx8vsp/BULo3q9Spc+MlRyqLn59vlWxLKpb6zrWp/1yb+s91laXvkpKMmEzV74Gw0jCZ3ImIeKvYOgEBdxIQcKfDbdaq5cOiRW+XMbKqw2g0lurn0KHk+MiRI4wdO5apU6fSvXt3Tpw4wZkzZ+jatWDR6V8Xja5bty7Jycn2/ZKSkgrNSXZESkoGFkvFLDjt6IW6dCndacdzVltSsdR3rk3959rUf66rrH1nsVgwmy1OjEhKw2Qy3hLX32KxFPk5NBoNNxyQLfF27MKFC4waNYqIiAi6d+8OFCTD8+fPJzU1lby8PDZt2kTnzp25//77OX36NPHx8eTn5xMTE0OHDh2ccFoiIiIiIuWvxJHjVatWkZOTQ3h4uL1swIABvPjiiwwcOBCz2UyXLl3o0aPg6cbw8HDGjBlDTk4OwcHB151qISIiIiJSFZWYHIeFhREWFnbdbYMHDy5SFhQUxPbt28semYiIiIhIBXP4gTwRERERKcq3tgeeNdyd3m52Xi7pV4tfzk2cT8mxiIiISBl41nDnqU0jnd5uZP/lpFN8cpyfn8/06VN47bU5ZGRkMH/+LC5fTsFoNDBq1Dgeeqh1ice5dCmJ558fwrZtu+1lq1ev4B//+AyrFdq2bcdf//oSmZmZzJ07gzlzwou8tvpWovVRRERERFxUdHQUgYFt8PT0ZNmyt2nXrj1r1mxg5sx5zJoVRn5+frH7HziwjzFjRpCSkmIv++abr/nmm4OsW7eRNWs2cOLEj+zd+w+8vLxo1SqQbdu2lPdpVSolxyIiIiIuyGq1EhW1iU6dCpbWDQ7uSOfOBS/7CAhoSG5uDllZWcW2EROzjfnzFxYqq1PnDkaNGk+NGjUwmUw0avQHEhMvAtCpUxciIzditVbMsruVQdMqRERERFzQyZM/4ePjg49PwXq9wcGP2bdt3LieZs3usW+7kXnz3ihS1rhxE/vnhISz7NnzKcuXrwagVq3b8PKqycmTP9Os2d3OOI0qRyPHIiIiIi4oISEBP7+6RcojIzewbdtWwsJmlan9U6f+zfjxoxg1ahwNG/7eXl63bn3OnTtbprarMo0ci4iIiLggo9FQ5MG4ZcveJi5uP0uXrsDfv2ji7Khjx/5JWNhkxo6dYJ+28SuTyYTReOuOryo5FhEREXFBAQENuHjxgv17ZOQGvv32CMuXr8LX1/em201MvMjUqS8zd244LVu2KrL9woXzBAQ0vOn2qzolxyIiIiJlkJ2XS2T/5eXSbnGaNr2b1NSrZGRk4O3tzerV/4u3tzdjxgy314mIeJvk5EusXPk3IiLecei4Gze+T05OLm+/vYhfn7vr2bM3PXv2JT09nYyMDJo2bXbT51XVKTkWERERKYP0qzklrkdcHgwGA/36DWT37o/p06c/sbH/uG69OnXuwM/Pv9i29u07bP88btzLjBv3MiaTEbPZUqjerl0x9Os3oOzBV2G37oQRERERkVtcr159+eabr8nOzr5hnaSkRLp06VbmY2VmZnL48CFCQ3uXua2qTCPHIiIiIi7KZDIRHr6o2Dp169ajbt16ZT6Wl5cXCxcuLnM7VZ1GjkVEREREbJQci4iIiIjYKDkWEREREbFRciwiIiIiYqPkWERERKQMbvd1x8/P1+n/3e7rXuKx8/PzmTp1UqHVKjIzr/HUU6F8++3hYvYsbOnSt5k3byYAFouFV199mczMzFJfi1uBVqsQERERKQOTpwf7Q/s4vd122zZDevEvAomOjiIwsA2enp72skWLFpKenu7wcQ4fPsSuXTsICmoPgNFo5Mkne7Jq1QpGjhx7c8G7MI0ci4iIiLggq9VKVNQmOnXqai/7/PNP8PLyokmTpg61kZaWyooVyxgy5JlC5YGBQezdu4dr1zKcGrMrUHIsIiIi4oJOnvwJHx8ffHx8ALh48SKRkRsZNeolh9tYuHA+L774V3x9axUqd3Nzo0mTZqWamnGrUHIsIiIi4oISEhLw86sLFMwTDg+fzfjxr+Dh4VnCngV27Iimbt26tGoVeN3t9evXJyEhwWnxugrNORYRERFxQUajATc3NwDi489w9mw84eFzAPjllwQWLJjL5MlhPPhgq+vu//nnn5CSksywYYNIS0slKyuLd955k7FjJwLg5mbCaDRUzMlUIUqORURERFxQQEADLl68AMBddzVmy5aP7dtGj36RZ5998YaJMcBbby2zf965cwfffXfEnhgDXLhwnv/5n/vLIfKqTdMqRERERFxQ06Z3k5p6lYyM4h+aS06+xLBhg0rVdn5+PidO/EirVg+XJUSXpJFjERERkTIwZ+cULLtWDu0Wx2Aw0K/fQHbv/pg+ffoX2rZkyQr75zvu8OOee5oX29YTT4TwxBMh9u9xcV/x6KMdCy0RV104lBwvWbKEXbt2ARAcHMwrr7xCXFwcr7/+Ojk5OXTr1o3x48cDcPz4ccLCwsjIyKBVq1bMmjULk0k5uIiIiNyarqTnlrgecXnp1asvYWGv0L176A0T2aysLNq2fcThNi0WCzEx25g9e56zwnQpJU6riIuLY9++fWzdupXo6Gh++OEHYmJimDp1KsuWLWPnzp18//337N27F4BJkyYxffp0du/ejdVqJTIystxPQkRERKQ6MplMhIcvKnaEt2bNmgQHd3S4TaPRyIIFi/H29nFGiC6nxOTYz8+PKVOm4O7uTo0aNWjSpAlnzpyhUaNGNGzYEJPJREhICLGxsfzyyy9kZ2fTsmVLAHr37k1sbGx5n4OIiIiIiFOUON+hWbNm9s9nzpxh586dDBkyBD8/P3u5v78/iYmJJCUlFSr38/MjMTGxVAHVqVP17lL8/HyrZFtSsdR3rk3959rUf66rLH2XlGTEZNLaAZXpVrj+RqOxVD+HDk8G/vnnnxk+fDiTJ0/GZDJx+vTpQtsNBgNWq7XIfgZD6dbHS0nJwGIp2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 <h2 id="Task-7B-(like-Bonus)">Task 7B (like <em>B</em>onus)<a class="anchor-link" href="#Task-7B-(like-Bonus)">&#182;</a></h2><p><a name="task7b"></a>
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 <li>Person who does this best / first: Personal certificate with my recommendation 😄</li>
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 <h2 id="Conclusion">Conclusion<a class="anchor-link" href="#Conclusion">&#182;</a></h2><ul>
 <li>Pandas works with and on <strong>data frames</strong>, which are central</li>
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 <p><span class="feedback">Feedback to <a href="mailto:a.herten@fz-juelich.de">a.herten@fz-juelich.de</a></span></p>
 <p><em>Next slide: Further reading</em></p>
 
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 <h2 id="Further-Reading">Further Reading<a class="anchor-link" href="#Further-Reading">&#182;</a></h2><ul>
 <li><a href="https://pandas.pydata.org/pandas-docs/stable/user_guide/index.html">Pandas User Guide</a></li>
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diff --git a/Introduction-to-Pandas--slides.ipynb b/Introduction-to-Pandas--slides.ipynb
index 79f901cb25a2995b2760454b7faf3ce01cbf556c..0d318a3a4123ec619424d1133dcdd804010e7564 100644
--- a/Introduction-to-Pandas--slides.ipynb
+++ b/Introduction-to-Pandas--slides.ipynb
@@ -11,7 +11,9 @@
    "source": [
     "# Data Analysis and Plotting in Python with Pandas\n",
     "\n",
-    "_Andreas Herten, J\u00fclich Supercomputing Centre, Forschungszentrum J\u00fclich, 2 June 2021_"
+    "_Andreas Herten, J\u00fclich Supercomputing Centre, Forschungszentrum J\u00fclich, 2 May 2022_\n",
+    "\n",
+    "<span style=\"color: var(--color-fzjorange)\">JSC-internal Special Edition</span>"
    ]
   },
   {
@@ -89,7 +91,7 @@
     }
    },
    "source": [
-    "* Please now open Jupyter Notebook of this session: https://go.fzj.de/jsc-pd21\n",
+    "* Please now open Jupyter Notebook of this session: https://go.fzj.de/jsc-pd22\n",
     "* Give thumbs up! \ud83d\udc4d"
    ]
   },
@@ -185,7 +187,7 @@
     {
      "data": {
       "text/plain": [
-       "'1.2.4'"
+       "'1.4.2'"
       ]
      },
      "execution_count": 3,
@@ -504,7 +506,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -529,7 +531,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -594,7 +596,7 @@
        "3   Waters   57"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -618,7 +620,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -627,7 +629,7 @@
        "Index(['Name', 'Age'], dtype='object')"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -650,7 +652,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -659,7 +661,7 @@
        "RangeIndex(start=0, stop=10, step=1)"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -682,7 +684,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -777,7 +779,7 @@
        "Hall      60"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -800,7 +802,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -880,7 +882,7 @@
        "max    60.000000"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -891,7 +893,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -954,7 +956,7 @@
        "Age    41       56      56      57    39      59    43      56     38    60"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -965,7 +967,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 14,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -980,7 +982,7 @@
        "      dtype='object', name='Name')"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1002,7 +1004,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 15,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -1062,7 +1064,7 @@
        "Rivers   112"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1073,7 +1075,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 16,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -1132,7 +1134,7 @@
        "2    RiversRivers  112"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1143,7 +1145,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 17,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -1203,7 +1205,7 @@
        "Rivers   28.0"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1214,7 +1216,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 18,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -1274,7 +1276,7 @@
        "Rivers   3136"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1285,7 +1287,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 19,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -1356,7 +1358,7 @@
        "Rice     1521"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1371,7 +1373,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 20,
    "metadata": {
     "slideshow": {
      "slide_type": "skip"
@@ -1384,7 +1386,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 21,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -1455,7 +1457,7 @@
        "Rice     1521"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1478,7 +1480,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 22,
    "metadata": {
     "tags": []
    },
@@ -1571,7 +1573,7 @@
        "Hall      True"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1582,7 +1584,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 23,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -1653,7 +1655,7 @@
        "Rice     True"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1685,7 +1687,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 24,
    "metadata": {
     "exercise": "task",
     "slideshow": {
@@ -1704,7 +1706,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 25,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -1774,7 +1776,7 @@
        "Favourite Color      violet         gray  "
       ]
      },
-     "execution_count": 26,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1802,7 +1804,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -1887,7 +1889,7 @@
        "4  1.2 2018-02-26 -0.718282  entries  Same"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1905,7 +1907,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 27,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -1994,7 +1996,7 @@
        "1  1.2 2018-02-26  1.718282   column  Same"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2005,7 +2007,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 28,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -2067,7 +2069,7 @@
        "4  1.2 2018-02-26 -0.72  entries  Same"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2078,13 +2080,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 31,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
     }
    },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/f5/swf8tg5j5r7bqbwftt3zn6b00000gn/T/ipykernel_62318/1325867503.py:1: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError.  Select only valid columns before calling the reduction.\n",
+      "  df_demo.round(2).sum()\n"
+     ]
+    },
     {
      "data": {
       "text/plain": [
@@ -2094,7 +2104,7 @@
        "dtype: object"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2105,7 +2115,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 32,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -2129,6 +2139,14 @@
       "\\end{tabular}\n",
       "\n"
      ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/f5/swf8tg5j5r7bqbwftt3zn6b00000gn/T/ipykernel_62318/3396683912.py:1: FutureWarning: In future versions `DataFrame.to_latex` is expected to utilise the base implementation of `Styler.to_latex` for formatting and rendering. The arguments signature may therefore change. It is recommended instead to use `DataFrame.style.to_latex` which also contains additional functionality.\n",
+      "  print(df_demo.round(2).to_latex())\n"
+     ]
     }
    ],
    "source": [
@@ -2164,7 +2182,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 33,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -2247,7 +2265,7 @@
        "Walt       Malcolm David Kelley      False"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2277,7 +2295,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 34,
    "metadata": {
     "exercise": "task"
    },
@@ -2305,7 +2323,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 35,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -2529,7 +2547,7 @@
        "[5 rows x 21 columns]"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2599,7 +2617,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
     {
@@ -2666,7 +2684,7 @@
        "2  1.2 2018-02-26 -1.304068     has  Same"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2677,7 +2695,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 37,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -2696,7 +2714,7 @@
        "Name: C, dtype: float64"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2719,7 +2737,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 38,
    "metadata": {
     "tags": []
    },
@@ -2735,7 +2753,7 @@
        "Name: C, dtype: float64"
       ]
      },
-     "execution_count": 37,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2766,7 +2784,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 39,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -2837,7 +2855,7 @@
        "4  1.2 -0.718282"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 39,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2861,7 +2879,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [
     {
@@ -2919,7 +2937,7 @@
        "2  1.2 2018-02-26 -1.304068     has  Same"
       ]
      },
-     "execution_count": 39,
+     "execution_count": 40,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2930,7 +2948,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 41,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -2993,7 +3011,7 @@
        "3  1.2 2018-02-26  0.986231  entries  Same"
       ]
      },
-     "execution_count": 40,
+     "execution_count": 41,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3015,7 +3033,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [
     {
@@ -3073,7 +3091,7 @@
        "2  1.2 2018-02-26 -1.304068     has  Same"
       ]
      },
-     "execution_count": 41,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3084,7 +3102,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 43,
    "metadata": {},
    "outputs": [
     {
@@ -3142,7 +3160,7 @@
        "4  1.2 2018-02-26 -0.718282  entries  Same"
       ]
      },
-     "execution_count": 42,
+     "execution_count": 43,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3169,7 +3187,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 44,
    "metadata": {
     "tags": []
    },
@@ -3229,7 +3247,7 @@
        "2  1.2 2018-02-26 -1.304068     has  Same"
       ]
      },
-     "execution_count": 43,
+     "execution_count": 44,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3252,7 +3270,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 45,
    "metadata": {},
    "outputs": [
     {
@@ -3301,7 +3319,7 @@
        "2  1.2 -1.304068"
       ]
      },
-     "execution_count": 44,
+     "execution_count": 45,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3325,7 +3343,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 46,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -3416,7 +3434,7 @@
        "entries  1.2 2018-02-26 -0.718282  Same"
       ]
      },
-     "execution_count": 45,
+     "execution_count": 46,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3428,7 +3446,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 47,
    "metadata": {},
    "outputs": [
     {
@@ -3491,7 +3509,7 @@
        "entries  1.2 2018-02-26 -0.718282  Same"
       ]
      },
-     "execution_count": 46,
+     "execution_count": 47,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3502,7 +3520,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 48,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -3568,7 +3586,7 @@
        "entries  1.2 -0.718282"
       ]
      },
-     "execution_count": 47,
+     "execution_count": 48,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3598,7 +3616,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 49,
    "metadata": {},
    "outputs": [
     {
@@ -3656,7 +3674,7 @@
        "3  1.2 2018-02-26  0.986231  entries  Same"
       ]
      },
-     "execution_count": 48,
+     "execution_count": 49,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3667,7 +3685,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 50,
    "metadata": {},
    "outputs": [
     {
@@ -3681,7 +3699,7 @@
        "Name: C, dtype: bool"
       ]
      },
-     "execution_count": 49,
+     "execution_count": 50,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3692,7 +3710,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 51,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -3745,7 +3763,7 @@
        "4  1.2 2018-02-26 -0.718282  entries  Same"
       ]
      },
-     "execution_count": 50,
+     "execution_count": 51,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3775,7 +3793,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 52,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -3846,7 +3864,7 @@
        "2  1.2 2018-02-26 -1.304068     has  Same"
       ]
      },
-     "execution_count": 51,
+     "execution_count": 52,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3857,7 +3875,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 53,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -3933,7 +3951,7 @@
        "2  1.2 2018-02-26 -1.304068     has  Same -2.504068"
       ]
      },
-     "execution_count": 52,
+     "execution_count": 53,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3958,7 +3976,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 54,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -4038,7 +4056,7 @@
        "2  1.2 2018-02-26 -1.304068     has  Same  1.700594 -2.504068"
       ]
      },
-     "execution_count": 53,
+     "execution_count": 54,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4050,7 +4068,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 55,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -4129,7 +4147,7 @@
        "4  1.2 2018-02-26 -0.718282  entries  Same  0.515929 -1.918282"
       ]
      },
-     "execution_count": 54,
+     "execution_count": 55,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4140,13 +4158,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 63,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
     }
    },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/f5/swf8tg5j5r7bqbwftt3zn6b00000gn/T/ipykernel_62318/2974913581.py:1: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
+      "  df_demo.append(\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -4252,7 +4278,7 @@
        "5  1.3 2018-02-27 -0.777000  has it?  Same       NaN  23.000000"
       ]
      },
-     "execution_count": 55,
+     "execution_count": 63,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4261,7 +4287,7 @@
     "df_demo.append(\n",
     "    {\"A\": 1.3, \"B\": pd.Timestamp(\"2018-02-27\"), \"C\": -0.777, \"D\": \"has it?\", \"E\": \"Same\", \"F\": 23},\n",
     "    ignore_index=True\n",
-    ")"
+    ")  # TODO: Fix me"
    ]
   },
   {
@@ -4279,7 +4305,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 64,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -4332,7 +4358,7 @@
        "1  Second      1"
       ]
      },
-     "execution_count": 56,
+     "execution_count": 64,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4344,7 +4370,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 65,
    "metadata": {},
    "outputs": [
     {
@@ -4393,7 +4419,7 @@
        "1  Second      2"
       ]
      },
-     "execution_count": 57,
+     "execution_count": 65,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4416,7 +4442,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 66,
    "metadata": {},
    "outputs": [
     {
@@ -4477,7 +4503,7 @@
        "1  Second      2"
       ]
      },
-     "execution_count": 58,
+     "execution_count": 66,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4499,7 +4525,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 67,
    "metadata": {},
    "outputs": [
     {
@@ -4560,7 +4586,7 @@
        "3  Second      2"
       ]
      },
-     "execution_count": 59,
+     "execution_count": 67,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4582,7 +4608,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 68,
    "metadata": {},
    "outputs": [
     {
@@ -4637,7 +4663,7 @@
        "1  Second      1  Second      2"
       ]
      },
-     "execution_count": 60,
+     "execution_count": 68,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4659,7 +4685,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 69,
    "metadata": {},
    "outputs": [
     {
@@ -4711,7 +4737,7 @@
        "1  Second        1        2"
       ]
      },
-     "execution_count": 61,
+     "execution_count": 69,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4739,7 +4765,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 70,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -4956,7 +4982,7 @@
        "[5 rows x 22 columns]"
       ]
      },
-     "execution_count": 62,
+     "execution_count": 70,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4968,7 +4994,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 71,
    "metadata": {
     "exercise": "solution"
    },
@@ -4986,7 +5012,7 @@
        "      dtype='object')"
       ]
      },
-     "execution_count": 63,
+     "execution_count": 71,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5017,7 +5043,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 72,
    "metadata": {
     "exercise": "task",
     "slideshow": {
@@ -5032,7 +5058,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 73,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -5046,7 +5072,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 74,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -5055,7 +5081,7 @@
    "outputs": [
     {
      "data": {
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\n",
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zWS3NHoqHMC95rYVc2fF8CaCMyYYiU6zgiw8ew+sv3ixdWuGaC8YAaJLhG4EX9Oa63esYkx1DMSzkyp4NeWrHiRa5CYE47naoa07/9r+2H0Lk9WbSznom89kSfIRT5tAIGRUnPJOlnPY70ZzLEDkamYPoFrLlU7wfp1DGZANxxyOTyJaq+A1JuZJmxvuiuGhLH+7dIMbk+ZkshuKhU+LdrRBG++h8d3knJ1a0EtxWbBnwyJjontBaHazVvIWzJdbz2TIG4yH4mwoqBuPOh7maPROxnsyKrnSxgr5ocP0TbaKMyQahXmd8/idHcem2flyyrd+RNa69YAyPHl925D9et3FwLtuQ/OhEo4PbJW0pI9TqjJMrxdNyEwJxfMrB/opWzGVKCPrptBtfJOhHIhxw/PdqIVs6reIp6PdhMB5yyDPRjUmT1yA++0pBniebLlSQUsZEIYv7D87j0HwO737ZDsfW+LlzRsAM/PjgvGNrdAPMjIOzWUPNntv1HpSjHvVttGI+W0K1zhhvY0wS4QCS4YDjYaW1zGVKGEmEWyrmOlHltJZ2uYUhB3o/AC1nkowEEGxSlRbGJC3JmNTrjEypilTEeYF4ZUw2CJ974AiGEyG87qJNjq1x4ZY+pCIBPHDQvWFGXjCfLWOlUMHZI+sbk2jIj02pCI50URJehK+2tAlzAVqoac5lD3MuW2or9T6cCGPe4YKAdlVP/bEglh1Q8l3KlxthLYFszyRbroIZyjNRyOHYQh7fPTCLd+zdjnDAuVpzv4/w0rOG8KOD82d0ibBQtt09ZkyGZsdwzDUJdSNML4uqqdaeCaAlgt2u5prPtDcmQ4mQ9JLZtSxky6dUcgn6oiEsSww7CRZz5VOS/dpa2k1f1nrCw9lQxoSIriOiA0R0kIg+0OL1jxPRo/rPc0S03PRarem1u1zdeA/w+QePwE+Ed1wx4fhaLz97GFPLha4sh5WFKAs+y4BnAgA7huI42kXGRISvNnXoMxpJOu8JrGVdz8TBMFe1VkemVEV/7PSb7kAs6Ii+WrpYPS0/JNaX5ZmkC1pVWCrivDHpikmLROQH8EkA1wKYBLCPiO5i5qfFOcz8h03n/x6Ay5reosDMl7q03Z6iUK7hy/uO47UXbsKmPjlNip246mxtdvyPX5jHjmFnJ7t5xbGFHMIBX8ebcTMTQ3HMZ8vIFCtIuvCfej3mslqiu9WNUzCSCOOHLhqTep2xkC2d0jDYzFAijKV82bHJlaK7vlXVk1Nhrkyxgq1r8lbRoB9BP0kzJisNz2Tj5Ez2AjjIzIeYuQzgNgDXdzj/7QC+5MrOepy7n5hGuljFO13wSgCtemm8L4IHXjhz8ybHFwvYNhhrq8m1lp36hLtu8dZm0+0T3YKRZBiZUhWFcs2VPaWLFdT51MqmU/aTCIF5tZxW+vr6Tbe1MQmhUKmhWJH7d5EpVpFckxgn0qrZpHkmen+TG55JtxiTLQCONz2f1I+dBhFNANgJ4LtNhyNEtJ+IHiSiN7a57ib9nP1zc3OStt39fHnfcewYiuHKXYOurEdEuHzHIPYfWTxj8ybHFvONKi0jbNPPlT30yCqdwkkCJ5v1WtGqG7yZQb1kVzT6yWalozGRX64LANkWxgTQ8hvywlztP5dsusWYmOEGAHcwc/PXhAlm3gPgHQA+QURnrb2ImW9m5j3MvGdkxPxUwV7khbksHj6yiLddvr3jt1DZ7NkxgJl0ydE5EF7BzDhu0pgIFdoTLs3kWI+5DolugXh91qVQl5h7vjYhLWgkph3yTFY6JKr7oyF9bXnGpFKro1CptQx79kWD0kqDRfhuI3kmUwC2NT3fqh9rxQ1YE+Ji5in9z0MAvo9T8ykbltv3HUfAR3jTS1o6eY6xZ0LzgvYfXXR1XTdYzleQKVUb3oYR+mNBRII+nPBAibcVhoxJQ5PKHWPSUNBtY0yEd+BEVRXQ2TMZ0NdekmjIsvpNvpVnIjXMpb9PYgP1mewDsJuIdhJRCJrBOK0qi4jOAzAA4CdNxwaIKKw/HgZwFYCn11670ShX6/jqTyfx6vNHT5mX4AbnbkoiGQ5g/5ElV9d1g2N6qMqMZ0JE2NwfdVyo0AjVWh0LuVLDWLRD6GO51WsiPJOBNkUBTnSGN9PJmPQJQybRM8k0jElrz0RmziQZDpwiEeMUXVHNxcxVInofgHsA+AHcwsxPEdGHAexnZmFYbgBwG58ajD8fwL8RUR2acfxocxXYRuW7z85gPlvGDZdvd31tv49w2cTAGW1Mtg2279Foxea+aGP4kpcs5spgBkbWqUQbjIdA5IFn0kbrrJG3cKCqCuicqBahN5khNrFeK88kEQ40PBe75EpVxMPu3Oa7wpgAADPfDeDuNcf+as3zD7W47gEAFzm6uR7kSw8fx6ZUBFef401+6PKJAfzTfc9hJV9pfLM7E2gYkwHjngmgyaj/8HnvCz9EDmQ9zyTg92EoHnLNmCzlywj4CMk2N76E/u16ueBcziTk9yESPD1YI6RIMhKHczU8kxafNxEOICtpsmO2VHUlxAV0T5hLIZGp5QJ++Pwc3rpnqyvubStePDEAZuCxyWVP1neKyaU8hhMh09/2NvdHMZspoVytO7QzY4iw1Xo5E0BrFHTPmFTQHwu2LRQhIvRHnen3AFbFEFutHw8FQKT1hchCGItWYa5EOIBStY5Kzf7vSrZUc80zUcbkDOQr+7Uq67fs2bbOmc5x4ZY+AMDjZ5gxObaYN5V8F2zuj4DZ+Zkc6zGXbj0zpBVu6nMt50+XFllLXyzoaAK+r01jn89HSIQCUscGZzqEucTNX8bc+VypikTY2XG9AmVMzjBqdcZX9k/i5WcPW7rpyaIvGsSu4Tgem1zxbA9OYLbHRCB0sKY9Lg8245m4KamylKu0Tb4L+qNB53ImhWpH/apkRF7oCWhOwLcOcwGQsl62WEU8pDwThQV+dHAeU8sFvO1y77wSwcVb+84oz6RWZ5xYLmLrgLnkO7A6I8Triq65TAnJSACR4PrfVkd0sUc3mk+XDHgm/bGQozmTTo19yUhQaphr1TM5fc1Vz8R+x73KmSgs8+V9xzAQC+JafYyul1y8tR8z6ZLnoR1ZzGVKqNW5o9puO8RUQ68ruoz0mAhGEmGUa3Wp4Z12LOXLhjwTp3Im6xmThAOeSTjgQyhw+i04roelZKyXK1cbno7TKGNyBrGQLeHep2fwyy/e6qjUvFEu2ablTR47vuztRiRxQvcq2o277UQsFEBfNOh546IYQGUEJ0piW8HMWMpX2jYsCmTKjKxlfc8kILWaK12sthX9lBXmYmZXS4OVMTmD+M9HT6BSY7zVw8R7MxeM98HvIzx+huRNjMwB6UQ3NC7OZoqGPZPVzm9nbuCCQqWGcrVuIMwVRKZYRVVClVMz9TojU6x0lBxJhOUaE01Buk0ZdEROAl6rCGPlmSjMwcy4fd9xXLKtH+duSnq9HQDalMHdowk8MXWGGBPhmVg1Jn0Rz8NcC9lyW5n3tYgGQjGr3CnW634X9IuRtpLDbtlyFXXuLIao5UzkrZsttRZ5BNBImNv1TIQxiodUNZfCBI9NruDATAZv6xKvRHDB5hSemU57vQ0pnFguIhbyW54NMZoKuyac2IpyVRsAtXZUbDtE2EmmJlUrhLEykoAH5IfdRIVYJ2OSigQkJ+DbG5OEpNJgkcBPuDRDRxmTM4Tb9x9HJOjDL14y7vVWTuGC8RRmMyXXpMydZHqlgPG+iGUF5pFkBAu5kvQwjVGEUTBuTNwJc4mk+nr76nNI7LGTYrBANBLKajrNFCtIhluvJ6vPRHg2qs9EYZhCuYavP3oCv3DRuCtS02Y4fzwFAGeEd3Jipdgo8bXCaDIMZmDB4bBRO8TMEKPGJBUJwkduhLmEYrCxMJfsXpOGLlcHj1N4EbIqujp5JqGADyG/DxlJxkQl4BWGufuJaWRK1a5JvDdzJhmT6eWC4VG9rRBd57Npb7y0JZPGxOcj9MdCzoe58ibDXJJ7TYwMkBKVV7JCXZkO1VyAloS3H+ZSxkRhktv3a9MUr9jpzjRFMwzGQ9iUiuCZ6YzXW7FFuVrHXLaEcTueiW6IZjPeJOEXTBoTwLn5582I6YmdZtIDq56J7P10kp8XJCSKPdbqvG4zYTzst920mCuLMJcyJgoDHJnP4aHDi3jLnm2uTlM0w/njyZ73TGYzRTBrFVlWGXV5euFaltYZQNWKwVioER5zinSxgnjIj6C/8+0o5aExSUo0JuImn+pkTEL2myTzZc0YRQ2oHchAGZMe5/b9x+Ej4E0v3ur1Vtpy/ngKB2ezKFXty0N4hdDUsuOZiJJcr8JcjTnrJkYCuBHmEoq96+H3EVKRgPTGxUyxCiJ01LASyXIZYa5OulyCRNh+mKsgjIkqDVasR7WmTVN85bmj2GTjG7PTnD+eQrXOeH4m6/VWLCM61+14JqGAD4PxkGdhrsVcGX3RIALreADNDLgQ5uqUjF5LXywovTQ4W9LEEH0dxjXITMB30uUSxCXMNClUNGMS22jGhIiuI6IDRHSQiD7Q4vV3E9EcET2q//xG02s3EtHz+s+N7u7cO374/Bxm0qWuTLw3cyYk4WV4JoAW6vIqzLWYK2PIRL4E0PIri/myo2KP6XW6z5tJSW4eBMQ0ws43XJlhLqOeiawwV8QlaaWumLRIRH4AnwRwLYBJAPuI6K4W43e/zMzvW3PtIIC/BrAHAAN4RL/2zJsZu4bb901iKB7Cq84b9XorHdk5HEck6OvpJPz0cgHJSMB2MnPEQ2OylC+3HYvbjv5YCOVqHYVKDTGHpMzTxQpGk8Y8PtkaWYDW3LdexdNqAt6+l2akZFdOmKuKSNDX0eOSSbd4JnsBHGTmQ8xcBnAbgOsNXvtaAPcy86JuQO4FcJ1D++wa5rMl3PfMDH75xVtaKo92E34f4dxNvd0Jf2KlaFlGpZnRZARzHqkoL2TLppLvADAYd75x0UyYKxkJNvpCZJEtra+sGw74EQrY7/0AVnMZnXI08XDAdjVXvuzcF4BWdMtdaAuA403PJ/Vja3kTET1ORHcQkYjtGLqWiG4iov1EtH9uzvtZ3Hb52k+nUK13j6jjelwwnsTT02lXZmM4wfRKQUpeajSlTS/04u9hKW8+zCV6O5xsXEwXjIe5kpIFFwE9zGXgpitrbeFxdMplJMJ+ZEtV1OvWf08KlZprlVxA9xgTI3wdwA5mvhia93GrmYuZ+WZm3sPMe0ZGRhzZoFswM27bdwyXbe/H7rHuEHVcj3PGklgpVFwbAyub6eWiJen5tYwmw6jU2HGJkrUwszbN0KQxcVqfi5lNeiZyNbIAPQFvIHwpK8RmJDEu9pOvWPdOCuWaa8l3oHuMyRSA5q/YW/VjDZh5gZnFnejTAF5i9NozjYcOL+KFuRzesXe711sxzO5Rzegd7MGKrmKlhoVc2bL0fDMiN+B2RVe2VEW5VreQgHc2zFWo1FCts6HSYEALc2VLVamenTZAav2bbjISRFaCIRPhq04GTIY+V75cc60sGOgeY7IPwG4i2klEIQA3ALir+QQialYwfAOAZ/TH9wB4DRENENEAgNfox85YvvjQMaQiAfzixZu93ophdo8lAADPz/aeMTkpKrkkhbkA93tNRJe5lQS8dr0znomRyqZmkpEA6rxaqSQDIwl4QN5Mk3xZ62sJd8h1yihFdjvM1RXVXMxcJaL3QTMCfgC3MPNTRPRhAPuZ+S4Av09EbwBQBbAI4N36tYtE9LfQDBIAfJiZF13/EC4xny3hW09O451XTrj6rcMuo8kwkpEAnp/tvYquRlmwBM9ETDmcc7mia1EPU5nOmUSFZ+KMMRG6WIZzJg2NLHkTBI0k4LW1Azi6kLe9Xr5cQzwU6KhYIXI4djyTQrmG4YS5f287dIUxAQBmvhvA3WuO/VXT4w8C+GCba28BcIujG+wSvrJ/EpUa41eu6J0QFwAQEXaPJnqycVGEpDb1GRsq1Ykh/T+30xIla1nMacbLrGcS8PuQjAQca1xMm/RMmkt0ZRREVGqarLwhz0TSHPh8ubpuLkPsJ2vDE8qXq4iG7H8BMkq3hLkUBqjXGf/+8FFcsXMQZ4/2RuK9mXPGkjjYg2EuEZIaMdgL0YlEOIBQwOf6fJdFPcw1aLI0GNA0q5yavb4q/27UMwno18mp6DKjrJuSVJacK62fGJcxB75YqSMa3HilwQoD3H9wHscXC3jnlRNeb8USZ48msJArY6HHKrpmM0VEgr6OwnxGISKMJMKYz7rrmQgJkv64+Xk3ThoTkYMw3gEvd66ImQFS8bAf+XLNdvLfSP+H6MgXopDW1lnfA5KJMiY9xBcePIqheAivfdEmr7diCVHG3GveyUy6hNGk9QmLaxlKhLCQc9egLucr8PsISQt5hr5osJHbkM1qzsR40yIgb66IkcoqQSwUQK3OKNmctmjkJr/qmVgvNNio1VyKdZheKeA7z8zgrZdv6/qO93bsHu3Niq7ZTBFjKfv5EsFQPIQFlz2TpXwZ/dGgJYOYinRPmEvcZGU1LpqZRhjXb8x2K8ny5Rpi66wnjEDBomdS142ealpUnMaXHj4OBvD2y3sr8d7MeF8E8ZC/5zyTWd0zkcVQIux6qG+5UGnMUDeL02GuoJ86lsk2k5SokQWs5kyMVHPFJPR+AJpnEl/HYxBhMKuGy23FYEAZk56gVK3h3x86ileeM4LtQzGvt2MZIsLZY8meKw+ezZQa/SEyGEqEMJ9zVol3LSv5SqPM1yx9Mfl6WAIhpWLUY9JKau1VOTXTSMAbkFOJ27zBr665fvjJ7yOEAr6GjpdZ8i7PMgGUMekJvv7YNOazZbzn5bu83opteq08OFeqIluqSvVMhuNhlKt1aUlkIywXzIs8CvqiQRQrdUeGm5mRUgG0ufSJcEBaNVfWhGcikuIy5owYMV6xkN+y4SpW3J2yCChj0vUwM2750WGcM5bAVWcPeb0d2+weTWA2U8KKy9pUVhFy8VJzJnqviZt5k+W89TCXSI47EepKF41NWWxGptjjammwkWou4ZnYWztXMlZlFQtaNybiuo2oGqxow0OHF/H0dBq/ftXOrp3xbgYhq3JwrjdCXTO6XLzsnAkAVyu6tDCXNc9E3OzTBfmelFnPBNAquqTlTMpmqrn0cl0bFVaiGszITT4a8jc8DLMIg6dyJooGt/zoMAZiQbzxslaK/L3HWSOaMXlhLufxTozhiGeid6G71WtSqdWRKVXRbyMBDzjkmZiQnxfIHJCVLVUR8BkrAFjNmdjr/QCMeUKxUMDyWiIBH1FhLgUAHFvI495nZvArV0y4+kvhJFv6owj6CYfne8SYOOCZDAvPxCVjIno5rBqTVc9EvjGx5pnIkTUBxMjezjpZglijkdBe7wdgLDEetZEzKZRVNZeiiVt+fBh+IvzqS3uz470VAb8P2wdjONxDnkk44EMqKi/2PBgXORN3wlzLuhHos1rNJYyJAxVdZua/CxISw1xGRR6B1SS9XVl4wFj1WCzkb3gYVtdRxkSBhWwJX953HG+4dDPGUvK+FXcDO4cTPeOZzKSLGE2FpearQgFNmmXBJbFHIdLYb6OaC5Af5qrW6siXa+YT8BLDXJpnYuyGGwn4QQTkbRgTYYiMeCZ2qrlUmEvR4LMPHEGxWsPvvPIsr7cinV0jcRxeyNkaSeoWs+kSxiSGuATDibBrYo8rBV2Xy6JnIjwH2RV4ZmeZCOQaE2OzTACtLDkW9NsKc4mbvBHPJBoMWO4zUWEuBQCtu/ezDxzBdS/a1JPqwOuxcziOcrWOEysFr7eyLjOZotSGRcFwIuxazmTVM7FmTEIBH6JBv/QwV0NKxWSYKxUJolyrW650asZMmAvQuuDtJOAb898NJeD9ltfa0KXBRHQdER0gooNE9IEWr7+fiJ4moseJ6DtENNH0Wo2IHtV/7lp7ba/x+QePIlOs4ndeebbXW3GEncNxAMChHsibzEmWUhEMJUKueSYNY2KxNBhwRlLFqmciQ55dkCtVDXkJgnjIb6s02Ewuw1YCXje0RmVqZNAVxoSI/AA+CeB1AC4A8HYiumDNaT8DsIeZLwZwB4B/aHqtwMyX6j9vcGXTDlEo1/CZ+w/j6nNGcNHWPq+34wi7RjRj0u15k3y5ikyp6ohnoikHu+SZFCogMn/TbiYVDUg3Jg3FYAs5E0CO2KOo5jJK3KZnYiYBHw36UarWUbMQDi6Uq4gG/fD53OtN6wpjAmAvgIPMfIiZywBuA3B98wnM/D1mFjMzHwSw1eU9usLt+49jIVfG+37+zPRKAG10bSIc6HpjIoZiOZEzGYqHsZQvo1qzJ2duhJV8GX3RoK0biyZDL7dp0eyURYFMGXotzGU8rxAP2StLFobIaAIegKWKLm1mirvtBN1iTLYAON70fFI/1o73APivpucRItpPRA8S0RtbXUBEN+nn7J+bm7O9YScoVmr4l+8fxOU7BrB356DX23EMIsLO4TgOdbkxaXS/O5IzCYEZWHJBVma5YF3kUeBEmMtqzkRWmIuZkSsbT8ADWq7DjtBjY36KwdJgwFqTZKFcc703rVuMiWGI6J0A9gD4WNPhCWbeA+AdAD5BRKeVQDHzzcy8h5n3jIyMuLRbc3z+J0cxky7hj19zrtdbcZydw3Ecnu9uwcfV7ncncibuSapoulzW8yWAMzNNzE5ZFAhPxq5ysAghmQpzhQK2+kwK5SqIgEhw/VtvVDc4Viq6CpWN65lMAdjW9HyrfuwUiOgaAH8B4A3M3PhfyMxT+p+HAHwfwGVObtYJMsUK/uX7B3H1OSO4YlfvCzqux87hOCaXCo4o0cpiVZfLgZxJ3D2xRxmeSSoqX4Ze5EwSHiXgzSgGC+z0fgBa93ws6DfWcW9jGNdGDnPtA7CbiHYSUQjADQBOqcoiossA/Bs0QzLbdHyAiML642EAVwF42rWdS+IzPzqMpXwFf7IBvBJAS8Iza5Ix3cpcpoRQwGe5c7wTwjNxo6JrOV+2XBYs6IsGkSlWLSWD25EpVpEMB+A3mctJSJoDv6oYbC4Bb7cDfr0pi4KoDWOyYcNczFwF8D4A9wB4BsDtzPwUEX2YiER11scAJAB8ZU0J8PkA9hPRYwC+B+CjzNxTxmQ2U8Sn7z+M11246Yyt4FqLKA/uZsHHmXQRo0m53e+CYRdl6JdtDMYSiIorWTImgJYzsVJhJmt076pnYiIBr+dMrA42MzL/XRALitG9vRHmcq+jZR2Y+W4Ad6859ldNj69pc90DAC5ydnfO8o/3HECpWsOfXnee11txDWFMurmiazZTckzKJhUJIuAjx3MmtTojXbSfM+lrkqG3KsuyloyFWSaA1jsR9JMEz8S4/LwgFgqgqsvIW/nmnyvVDDcSxmyoFGtGy92prF3hmWxknphcwVcemcSvXbWzcYPdCCQjQYwkw12dhBeeiRP4fITBeAjzGWc9k0yxAmbrUioCJ/S50gXzisGAVg2YCAdsJ+DNzH8XxG2EngCgUFl//rsgaqM0uFBefzSwbJQx8RBmxt98/SkMxkJ436vO3L6SdmgVXRvTMwE09WCnGxftSqkInJi2qIW5rO0rIUGG3lIC3qZysJH574217ORMKjVXR/YCyph4yn8+OoX9R5fwx68913R55JnAri42JoVyDZliFSMOeSaA1gW/6HCYa9nmLBOBGPkrs6IrW7LmmQBAIhy0nTOxkoBPNEb3WhdgNCrfoqq5FIZYyJbw4a8/jRdv78db92xb/4IzkJ3Dccxny45M8LPLbEYrC3bSMxmKh7HouGeivX+fDV0u7Xr5YS4rg7EEyXAA2ZK9vWQtGJPG6F6Lkio5Ewn4RpjL5FpiNLAKc20QPvyNp5EtVfHRN11sujTyTKGbk/AzupSKUzkTwJ0w14okz6QhQy/JmDAzMh6HuVa70c1Uc9kLc2mlwcbWC/l98PvItGci1JRVmGsD8N1nZ3Dnoyfwuz9/Ns4ZO/Mk5o0iBB+PdKExccczCSFTrKJcdU6fa1Ux2J4xiYX8CPhI2ujeUrWOSo1thLkkJODLVUSCPgT8xm+DDc/EonJwvmxcpZhIm59i1ph4MWURUMbEdeYyJfzpHY/j3LEkfvsMHHxlhq0DMRABR7uwcdEVz0TvNXEy1CWMid3GSyKSqs/VkJ83EWJqRlYC3kzyHVjV1LJSrlurM4oVc+GnaMhvus9EnB91cZYJoIyJq9TrjPff/igyxSr+zzsuQzjg7jeHbiMS9GNTKoKjC93pmYT8PtvhoU40JFUcTMIvF8pIhgOmvn23IyXVmGjvYzXMlQzbn7ZoVn4eaApzWUqK6zkaEzd5K3PgCyrMdebzqfsP4f7n5/FX/+2CDR3eamZiKIaji93nmcymSxhxqPtdICRVnPRMVvIV9MflGERNn0uODL3VwViCRDiAUrVuK0RodjAWgMa8eCtz4Fc9BjOeScBCmEuf5qjCXGcm3z8wi7//1rN43YWb8I69273eTtcwMRjvyjDXbKaIMQek55sZjLsQ5ipUbE1YbMaRMJeNBDxgPREOWAtzRQJ+EFnzTMQ1cRPyLZpnYu4zWjFaMlDGxAWen8ng9/79Zzh3Uwr/+JZLHP2222tMDMcwny1JGcEqkxmHxvU244ZysAyRR0EqEpCWgBdlvWZv5gIZysG5Us3UjR3QlAtiQb8lI7bqMTirUqzCXGcoM+kifv3WfYiE/PjMjXtMx2jPdCYGtYqublMPnk0775mkIkH4HdbnWi5UpKkea9MW5RgTq1MWBTJG91rJmQBaF7w1vSzzVVbRoPkEfNdWcxFR9w6c6HJOrhRxw80PYjFbxqfftQeb+6Neb6nrmBjSxOi6KQlfrNSQLlYx6mBZMKB9yx2IhZzPmcjyTPSZJlYVc5uxOhhLkAhr19nxTKyEubS1A5ZKg4U347hn0sVhLhWTscDUcgE33PwTzGVK+Nx79uKSbf1eb6kr2S6MSRcl4WddKAsWDMVDjoW5mFlqziQVCaJS08pb7SKqucyGmQSrM02se0qWPZOQ3/IoXXG9Uawk4EWYy4zRkoGR1eRNw9kg/OzYEn7zc4+gVKnh1l/fi5dMDHi9pa4lFQliMB7qqiT8TEbMfnfWMwGEPpczxiRb0oZZyfNMtNtFulix/a03W9RkRayWLNudaVKvm5//LtBG99pIwJu4yWthLnOfURifrs2ZENH/JpU57ki9zrj5hy/grf/2E8RCfvzH77xMGRIDTAzFuirMJTwTp3MmgFbR5ZQxkdWwKBAhKRl5Ezu6XEDTHHirsib6t3czg7EEsbBVz6TauN7wWiE/8hVzw7jMzJmXiZnVMgDuIqI4ABDRa4nox7I2QkTXEdEBIjpIRB9o8XqYiL6sv/4QEe1oeu2D+vEDRPRaWXsywyNHF/FL//Jj/M+7n8WrzhvFnb97FXarXhJDTAzGusozEVIqTldzAXqYy2FjImuYlRhkJUM5OFOyrssFNFVzWfRMrCgGC+Iha933OUthLj+YNfkZowj5ebe/+xv+m2TmvySidwD4PhGVAWQBnHbTtwIR+QF8EsC1ACYB7COiu9aM330PgCVmPpuIbgDw9wDeRkQXQJsZ/yIAmwHcR0TnMLPjhQMr+Qq+8+wMbtt3HA8fXsRYKoxPvO1SXH/pZlX+a4KJoTjufOwEStVaV6gCzKRLCPoJAw52vwsG42GsFCqo1OoISuhSb2a5oBkpWWGu5mmLdskUrSW/BbGQ1u9h1TOxMstEIEb3miVf0j0GE7/jzTL0Ric75svuzzIBTBgTIno1gN8EkAMwDuDXmfmApH3sBXCQmQ/pa90G4HoAzcbkegAf0h/fAeCf9bDb9QBuY+YSgMNEdFB/v59I2luD+WwJf33nU0gXK5haKuDwQg7MwJb+KP7y9efj7Xu3q9JfC0wMxcAMTC4VcNZIwuvtYDZTxGgy4soXAqHPtZQrS8/RyBJ5FIgBWVI8E5thLjFt0WrOpOGZWEhSx0IBi30m2k3eZ0IlfNWYVBtNruvhxZRFwNwM+L8A8D+Y+UdEdBGALxPR+5n5uxL2sQXA8abnkwCuaHcOM1eJaAXAkH78wTXXblm7ABHdBOAmANi+3VoHuo8Iz55Moy8axO6xBK6/dAuuPmcYl2ztN/ULojgVUR58bCHfHcYkXcKoC/kSoFmfywFjouc2+iSWBgNyZOgzxQq22CyV12aa2PNMLIW5dM+EmU194ciVjc9/FwixRjO9Jl4MxgLMhble1fT4CSJ6HYCvAniZExuTDTPfDOBmANizZ4+lCrXBeAjf+aNXytyWAlqYCwCOdEkSfjZTbMxacZohByVVVhqDseQYE+FJdEMCHtCVgy17JiIBb80zqdYZ5VrdVFg2X66aLoWOBc1PW/RiZC9go8+EmacBvFrSPqYANI8b3Kofa3kOEQUA9AFYMHitoosZiocQD/m7Jgk/k3Z29nszQ4lVz0Q2y/kKYiG/tDxUOOBHJOiTIvZotWGwmYQNz2Q1AW/+70YM08qbLA+2ksuwMrrXqzCXEWPyBSL6cyKaWPsCMxck7WMfgN1EtJOIQtAS6netOecuADfqj98M4Lus1cvdBeAGvdprJ4DdAB6WtC+FCxARJobiXVEeXKzUsFKouGZMBuNaOG0hK19SRWtYlFtEkIrYl1Sp1urIl2u2qrkAIBEJIuNJAt5aWbLmmZgNc+mje02IPeYrVdcbFgEDYS5mfhcRbYJWObUdwBMAvsLM0v7n6zmQ9wG4B4AfwC3M/BQRfRjAfma+C8BnAHxeT7AvQjM40M+7HVqyvgrgd92o5FLIZWIohgMzGa+34Wr3O6Alx33kTJhrOV9Bn6SyYIGQVLGDuAnbDXMlwwFMLVnzZm2VBofFgCzznolZ4xULmV+r0M3VXMx8EsD/BgAiOg/AHxBRFMD3mfk+GRth5rsB3L3m2F81PS4CeEuba/8OwN/J2IfCG7YPxXDfMzOo1Rl+D4sZZlwY19uM0OdyIsy1UihL90w0sUd7YS67s0wEdsNcRNbEEMU1pj2TUs30l5QzLcy1lhMAZgC8AsBfE1FPJOAV3c2OoTgqNcb0iqzIqTVm0u4aE0CXVHFAn2tZosijIBUJ2PZMpBkTGwn4bKmGeChgqfx71TMxt3bOxPx3QSPMZaaaq+JNNZcpY0JErwHwIwCbALybmV/BzA84sjPFhmJicLU82EvcDnMBzkmqLBccMCYSBmTZHdkrSIQDyJVrqNXNF2dqIo/WbrjCIJjV57LiMZzJnsl+aEbkI8x82IkNKTYmE8OiPNhbYzLjwuz3tQzFw9JnmjAzVvIV9ElSDBbISMDL8kzE9TkLOllZC8lwQWN0rxXPxMJkRwCGxR5rdUapWu/enImAmRehJb8VCqlsSkUQ8vtwdNHbii7RsOimHM6gA/pchUoN5VrdAc8kgHSxarphrxk7lVTNNOtzmZ2LkrNRmiwMgpku+Fpdk+43e5P3+QjRoHH5llX5+e73TBQKR/D7CNsGozg677Fnki66mi8BNGOynK+gWrM/J0QgW0pFkIoEUauzJW0qgbQwlw3l4FzJfP5C0AhzmWwkBKz1tWhz4A0ak8ZgLPdLg5UxUXQNE0Nxz4dkzbgwrnctonFxKS9nJC7QrBgsP2cC2NPnsjuyV2Bnpkm2ZG2WCaBJu/vInGeStzBlURANGR/dW/BolgmgjImii9g+GMOxhZyUsbBWmU2XXJGeb2ZIb1yUmYRfbkipyM+ZAPaUgzPFKkJ+n2EV3HbYmWmihbmsrU9Epgdk2ZnLbmZ0b74ijJYyJooNzI6hGHLlGuYdGmO7HvlyFZlS1TWRR8FgQ+xRXhJeeDkDcfl9JoA9zyRbqjRCVHZozIG34JlYHdkriIX9pjwTUSRgzTMJNIZ5rYdX898BZUwUXYQQfDzmURK+MWHRbc9E6HNJNKJilsmA9A54+2KPMkQeAXtz4O1qg8XDAVNVZLY8k6C/ESZbDxXmUiiwKkV/xKMkvBcNi8CqZyI3zCV3ZK9AhLns9JpIMyYWcybVWh2lat2WZxI3OdNEGBOrCXjDYS4bRssuypgouoatAzH4CJ4l4Wcy7s1+b2YgFgKRXOXgpVwZ0aDfdl5iLY0EvC1jUkEybN/IJSwKLopchy1jEvabquayk4CPhQPGq7lUabBCAYQCPoz3RXHMI/XgWd0zkT2kaj38PkJ/NIhFyTkTJ8YON2aa2JChzxSrUnImfh8hFvKbzplk9LCY1QQ8YN0zsRzmMhhSE2Eu2V8ijKCMiaKr2DEc86wLfiZdRCToa4yndZOhRFh6NVe/5HwJAAT9PsRC/q7ImQDWxB7leCYBU702eVsJeL/h2Sl21rGLMiaKrsLLuSYzelmwm93vgsF4SHICviK9kkuQitiToc8UK6Y71tuRiARMzzSR0YEfN13NZbM0uFIzVDJfqNQtr2MXZUwUXcXEYAxL+YqUOeNmmc2437AoGJIsqbKUL6Nfco+JIBUNWO4zYWZkS/I8k2TYvHJwToYxsRjmslJlFQ8HUNPHBK9HoaxJ64cD7t/alTFRdBWN8mAPQl2aLpe7+RKBbOVgJ+TnBX02BmTlyzXU2b4ulyARsRLmsj4YSxALa70fdYOKxflSFbGQHz4Ls3qEATLSBS9GA3vhXXtuTIhokIjuJaLn9T8HWpxzKRH9hIieIqLHiehtTa99logOE9Gj+s+lrn4AhVR2DOvlwR6EumbSRdd7TARD8RCW8mVLcuprqdcZy/my9B4TQSpiXYZ+VTFYUpjLgmciJcwV8oMZhqus7MwYMSNDX/BolgnQBcYEwAcAfIeZdwP4jv58LXkA72LmFwG4DsAniKi/6fU/YeZL9Z9Hnd6wwjm263NN3M6bZEtV5Mo178JciTCYV2VQ7JApVVFn+bpcAjuje1dFHmUl4IOmPRM5ORNz8veaZ2JtvWjIuOS9V7NMgO4wJtcDuFV/fCuAN649gZmfY+bn9ccnAMwCGHFrgwr3iIUCGEuFcdTlMJdXDYsCmY2LwiA5Uc0F6NMWLeZMRLJcRmkwoBmljEnDJiPMJZoPjepz5crWPYa4iTnwIszlBd1gTMaYeVp/fBLAWKeTiWgvgBCAF5oO/50e/vo4EbX8aklENxHRfiLaPzc3J2XjCmfQKrq8MSZu63IJhhr6XPaNSUOXy0HPJFOsGM4XNCPCXLLKr0VpsBlx0EypilDAh5CNJPXqtEXj/R9uhbm8kJ8HXDImRHQfET3Z4uf65vNY+41o+1tBROMAPg/g15hZlDZ8EMB5AC4HMAjgz1pdy8w3M/MeZt4zMqKcmm5mYjDmes5kdVyvR56JRH2uJcc9kyDqbG3CoaxZJoJEJIC6idwFoAlDJm0WAJgdkGVlyqLAzBz4QrmG2JnsmTDzNcx8YYufOwHM6EZCGIvZVu9BRCkA3wTwF8z8YNN7T7NGCcD/A7DX+U+kcJIdw3HMZkqmx6LaYTYjwlzeeCarYS77XfAizOWcZ2K9C17WyF5B87RFo9hVDAZWjYnhCYg2wk+xkPH8TL5S3dA5k7sA3Kg/vhHAnWtPIKIQgK8B+Bwz37HmNWGICFq+5UknN6twHiH46GaoayZdQizkl1ayahZReSUjzLU6GMsZz6TPhj6XuOnL+nsWRslM46JdxWBAq+YS72UEO56JmTBXfoMn4D8K4Foieh7ANfpzENEeIvq0fs5bAVwN4N0tSoC/SERPAHgCwDCAj7i6e4V0dui9Jm5WdIlxvV7U5wOaTEl/LCglAb+Ur4BIvmKwYHVAlnljkilqe7M6MnctVjyTbMm+NtiqZ2K0mst+zsRImKvoYZjLm69hTTDzAoBXtzi+H8Bv6I+/AOALba5/laMbVLjOdg88E23CojchLsGgpC745XwZqUgQfgsNckYQysFWek3SRc0rsNK81worysHZUtV2bmw1AW9cGt66MTFRzVXZ2J6JQnEKqUgQQ/GQq4KPM5miZ93vgqF4CAtZ+zkTpxSDBQ3PxGLORJYuF7BaYmxmpkm2aD/MFWuUBq+/bq3OejOh9ZnzRJpUynps9DCXQnEa24diroW5mBnTK0WM93lrTGRJqizny+hzKF8C2Ju2mC1VpOalxFwUc55JzXYCPujXSouNzDSxO2OEiBALrj8/pVZnlKt1xIJncGmwQmGWHS72mizmyihX611gTOTI0C877JkIY2ClC16m/DzQNLrXxF6ypYqUPcRDxpSDG4OxbBiwaGh9yXsvB2MBypgoupSJoRhOrBRQNNE/YJXpFa0seLwv6vhandD0uaw1Azaz5KAuFwAE/D4kwta64GUbE9GJbtQzqdbqKFbqUgoAjM6BX5VvsX6Tj4X864a5RDFARBkThWKVHUNxMAOTS857JyeWCwDguWcylAihVmfb8vtOKgYLUpGARc+kgoTEnEk44Eco4DNcGiwS5jLkXIzK0DeGcdkwYEbmwBfL+iyTM7lpUaEwi+g1OTLvvDE5qUupjPd7Heay32tSrtaRLVUd9UwAXezRYjVXX1RuTN/MTJNs2b6XIIiH17/BA3KEJY0YE+ElxSV8NisoY6LoShq9JotueCZFBP2E4bi3pcFD+vp2KrqEV+O4Z2JBOZhZ87pk97+YmWmy2jRpfw9xgyODpcxPCQXW7WnxcmQvoIyJokvpjwWRjARcqeiaXilgU19EWu+DVWQoBzutGCzQZpqYHEpVrqFWZ6mlwYC5mSbZkmYAZYW5jMxmX/UY7CTg1/dMshJm29tBGRNFV0JE2DEUd6XXZHq5iPGUt8l3QMuZAPbCXE4rBgu00b3mPBPhNUn3TMLG58CLG66MMFcs7DeVgLdTeBAL+dcVs8yXVJhLoWjJhEu9JtPpguf5EmBVn8uOZ7LUEHl01jPpi5qftph2yJgkIyY8E5lhLsMJeFlhrvVyJvYT/XZQxkTRtewYimNyqYBKrb7+yRap1xknV4qelwUDQCjgQyoSsGVMVvLO3LDX0h8NIVuqmvq3cdIzMSy4KPHbu1YabCQBr/d/2KiyioX8Dc+jHas5E+WZKBSnMDEUQ63OmFoqOLbGfK6ESo2xuQs8E0Ab3ztvIwHf8EziznomIsFvJtQljEnKwwS8CIclpXgmfpSr9XUNaq5URTzkt5WTi4X8yFdqHYeAZSV4QHZQxkTRtewYdr6i66TesLjJY10ugV1JlaV8BUE/NSTSnUIYE5GjMYJznknQdJhLlmcCYN0kvIz5KdGQH8xAqdrecOVLNfh9hLCNCZJ2UMZE0bVMDAr1YOfyJieWNWOyud/7MBdg35gs5koYjIccl9IX1WIrBeN7TTvkmSQjAZRrdZSqxiqrIkEfAn77t75G9/06SXg581PWVw7OlauIhfyejVFQxkTRtYwkw4gG/Y42Lk6vdEf3u2DIpgz9Qrbc6Fdxkn7dICyb8EzSBW2Wid2RuWtJNvS51vdOMhIUgwWrnknndWV5JuK92pEv1TxLvgNdYEyIaJCI7iWi5/U/B9qcV2sajHVX0/GdRPQQER0koi/rUxkVZwBEhIkhZ+fBT68UEQr4Gj0eXjOUCGEpV+4YG+/EQq7cKDF2EhHmMmNMVgoVpCJB6f08Zmaa5CR4CQJx415v3VypZjus1hiQ1aE8OFuuNqTxvcBzYwLgAwC+w8y7AXxHf96KAjNfqv+8oen43wP4ODOfDWAJwHuc3a7CTXaNxHFoLuvY+wvpea9CA2sZjIdRrbMlEUUAWMiVMOSCYeyPamssm0zApyRLqQCrxsTITBMZUxYFRufAywxzdfZMqhvbMwFwPYBb9ce3Qpvjbgh97vurAIi58KauV3Q/u4YTOL5UQLlD4tEO08uFrglxAWgYgvmctYquxWwZgy6EuZKRAHy02nFvBCekVIAmGXoDnkm2KO+GGzM4B97O/HeBuL7TZMdc2b4HZIduMCZjzDytPz4JYKzNeREi2k9EDxLRG/VjQwCWmVn8a04C2NLqYiK6Sb9+/9zcnKy9Kxxm10gctTrjmEMVXdMrRWzugh4TgR1JlWKlhly55kqYy+cj9EWD5nImxaojxqQxIMuoZyIpzJVoeCbO50yMhPLyZW89E1dWJqL7AGxq8dJfND9hZiaidsHiCWaeIqJdAL5LRE8AWDG6B2a+GcDNALBnzx57AyMUrrFrJAEAODSXxdmjCanvXaszZtLFruh+FzSUg7PmjYlI3LsR5gK0ii6zYa6xlNx/Q8CcZ5IuVnDupqSUdVdH9zof5koa+Iy5Ug2x4TPcmDDzNe1eI6IZIhpn5mkiGgcw2+Y9pvQ/DxHR9wFcBuCrAPqJKKB7J1sBTEn/AArP2DWi9ZocmpefhJ/PllCtMzZ1kWcivAornolQGx5KuKN+rHkmXRDmEjkTI8ZE4h6M5DFkDeMSnk2niZKiOdIruiHMdReAG/XHNwK4c+0JRDRARGH98TCAqwA8zVrJy/cAvLnT9YreJRUJYjgRdiQJP6l31m/pQs9k0ULORHgmblWm9cfM6XOJai7ZGC0NrtcZmVIVKUkJeK2no7MxaQzGspnLENd3km/Jl2ueyc8D3WFMPgrgWiJ6HsA1+nMQ0R4i+rR+zvkA9hPRY9CMx0eZ+Wn9tT8D8H4iOggth/IZV3evcBytoku+ZyKmOG4biEl/b6uEA34kwwHMWwhzLerXDLuQMwG0XpMlg55JsVJDuVqX3rAIAOGADwEfNeTl25EpVcEsr2mSiLTxxR2M2OowLns3+cZEyTZrMTNy5aoUNWSreGfGdJh5AcCrWxzfD+A39McPALiozfWHAOx1co8KbzlrJI57npqR/r7CM9naRcYEAAYT1rrgF3Rvxj3PJGQ4Ae+UYjCg39QNKAc70YGfigQ7liTLUAwWJMOBtgazWKmDGYh5pMsFdIdnolB0ZNdwAou5sqn4vBGOL+YxnAg1uou7Ba0L3lqYKxTwSatWWo/+mHYjrRpQDnZKl0tgZKZJQ2hSYqgtGQl0nDgpY2SvIN5hCFhD5HGD50wUio7s1AUfX5Ac6ppcKnSdVwIAo8kIZtMWjEm2jCEXdLkEQlKlU5hH4JRisMDItEVx05dp0FLRYEflZJmeiSa13zpn4vXIXkAZE0UP0KjokpyEP76Ux7bB7jMmY6kwZtJF09ctuiSlIhBij0byJk57JslIYN0O+NUwl7wbbioS7GhMZc5P0aT2WxsuWYl+Oyhjouh6tg3GEPCR1PLgWp1xYrmArQPdUxYsGE1FkC5WUVxnTOtaFrIlV7rfBX0m9LmcNibaTb3zPoREjVTPJBJApmOYS4wJlpUzaW248hLmzNtFGRNF1xP0+7B9KCbVM5lJF1GpcVdVcglGk5pBMBvqWsiVMeyiYOWACRl6p2fT98XW78Z3ItTmZpjLSM5EhbkUinXYNZzAYYmeyXFdnmXbYPd5JmP6oK6ZjLlQ10K27Kr6sRkZ+qVcGX4fOdJnAmiGbb0CjXRRk8BPSLzhpiJa4r9eby2qITMBr4W52uVMVJhLoTDEWaNxHJnPG6ocMsLxLi0LBpqMiYm8SaFcQ6FSw6CrORPNMBgpY17IlTEQky8/39hLNIhcudZREDTtgAR+MhIEc/sBWblSFQFJ0w87lQY3PCDlmSgUnTlnNIlyrS5thO/kUh5E6JrZ782MpbQw14yJMNes7sWMJt37PKlIEAEfGTImYgKkU/THhSR++704IYEv3q9d8l+IPMqosIuHAyhWWs+cF55JTJUGKxSdEeJ8z53MSHm/44sFbEpFEA50V48JoCWIQwFfw0AYQRgeYYjcwOcjDMZDhkQpl3KVRo7FCUTIbaVDyM0J1WIRtmuXN8k4oFLcSr4lKzE3YxVlTBQ9wdmjCRABB2bkGJNji7muLAsGtI7u0WTYVAJehMREiMwthhJhQw2WC7mSo2XLA40y5fbGxAltMJHMb2dM0oWqtIR/J3XkfLkKv6RwmlWUMVH0BJGgHzuG4nhOkjE5PJ/DLr0ZshsZS0VM5UxmM7pn4mKYC9B0wOYMeCaLOWeLA1bHCLffi0zFYIEQmWzXa5IuVqQJSyY7zDTJlWq68KR3E0OVMVH0DOeMJfCshDBXuljBfLaMHV1sTEaT5hoXZ9NFhAM+R8bidmI4EW5I37ejVmcsFyoYdDLMZaDnRbuxOxPmatdrki5UpHkmqzL0rT0TL5PvgDImih7i3LEkjsznTDfzreWIXmK8s4uNyVgq0vA2jDCTLmI0FXb9m+mQgZzJcr4MZmcFKEU3vvsJ+HVyJsWqNAMmwlytNMhypVpjWJdXKGOi6BnO2ZREnYEXbDYvHu4BYzKaCiNTrK47ElYwky65HuICtJxJoVLruE8htzLo4NCueMiPoJ/a5kxK1RqKlbo3YS5JBizZIQHvhNdlFmVMFD3DuWN6RZfNvMnh+RyIgO1dmoAHVnMfRpPwM5mi68l3YHUyZCfvRLzmZJiLiNAXbS+JL6RUZAtNBv0+RIP+lmGuep2RLcn3TFqFudLFasOweYUyJoqeYcdwHEE/4cBJ+57J5r4oIsHuKwsWCMNw0mDeZC5dwqiLZcGCEd3bmOuQN1l0aQLkQKz9GGEnFIMFqWigYayakT2MK94hAZ8pysvNWMVzY0JEg0R0LxE9r/850OKcnyeiR5t+ikT0Rv21zxLR4abXLnX7MyjcIej34ayRhG3P5Mh8rqFE3K2M682UJ5YL656bK1WRKVVdbVgUGPFMFvUbvNOKxv0d9LnSDswyESTbiEyKNWV5DCLB3qpBMl2Q5wFZxXNjAuADAL7DzLsBfEd/fgrM/D1mvpSZLwXwKgB5AN9uOuVPxOvM/KgLe1Z4xDljSRywUdHFzDg0n8OOoe42Jlv6Nc2wqaX1jUmjLNgDz2RI90w6VXSJccL9Dok8CvpjISy3SYQ7OU8l1WZAljgm6ybv9xHiIX+HnIkKc10P4Fb98a0A3rjO+W8G8F/MLEdXQ9FTnLspianlQkfZ704s5srIFKtdnXwHtL6a4US4MVq4E141LAJaNRegaW+1YyFXRjIccFxtoD/aPsy1KoEv/4abirYe3buap5G3pib2eOpaxYqmSbbhw1wAxph5Wn98EsDYOuffAOBLa479HRE9TkQfJ6KWX8+I6CYi2k9E++fm5mxuWeEVq0l4a3kTMa1xZ5eHuQBgy0AUUwbCXF56JpGgH4lwAHMdypiX8mVXBCg7hbmWdGPnhKRLMtJahl62ZwJoeZO1pcHCkG0Iz4SI7iOiJ1v8XN98HjMzgNZaztr7jAO4CMA9TYc/COA8AJcDGATwZ62uZeabmXkPM+8ZGRmx+5EUHnH+5hQA4OkTK5auP3AyDWDVKHUzW/sNGhPdMxn1wDMBtC74Tp7JYq7sqC6XoD8WQqFSa9mHtJgrg2i1H0UmWpjrdM/EiYFgyRYzTYTRSnqcM3HFlDHzNe1eI6IZIhpn5mndWMx2eKu3AvgaMze+BjR5NSUi+n8A/ljKphVdyea+CIbiITwxZc2YPHsyg2QkgPG+7lMLXsvWgSjufWYG9Tp3lE2fSRcRCfoafQhuM7ROF/xiroxNLhg6kZNZKVROq9Rb0A2a3wEJfDEgi5lPaRpteEMSq9hS0WDDSAkanonL6gdr6YYw110AbtQf3wjgzg7nvh1rQly6AQJp/4pvBPCk/C0qugUiwoVb+vD4pFXPJIPzNiU91TAyypaBKMrVOubXEVI8sVzE5r6oZ59pvS74xVxZ6g21HQMdZtI7qQ2WigRRrXNDBl6wlK8g5PchLlEWvj8WOs2YOFmpZoZuMCYfBXAtET0P4Br9OYhoDxF9WpxERDsAbAPwgzXXf5GIngDwBIBhAB9xY9MK77hoSx+en82allVhZhyYyTTk7LsdUdG1XhJ+crmALR7Osh9KhDHfxjOp1xlzmVJjFLGTdJr8uOCgMRmMtx4StpQroz8WlGrk+6PB04yl8Ey8DnN5bkyYeYGZX83Mu5n5GmZe1I/vZ+bfaDrvCDNvYeb6mutfxcwXMfOFzPxOZpY3KFzRlVy0tQ+1OuPp6bSp606sFJEpVnHuppRDO5OLmAK5Xnnw1FK+YXi8YCQZxmK+3HJo02K+jGqdXak0G+zQ87KYKzcqz6SvGw831mhmKS/fgA3EtDBX85jgRqJfhbkUCnNctKUPAPCkybyJSL6f1yueie5tdErCFys1zGfL2OqhZzLeFwEzWgpTnlwRZcvOeyaNbvwWQ8WcDHOJ921lTGQXHvTHQmDGKX0twhNzorvfDMqYKHqO8b4IhhMh03kTIV9/Tg9UcgHaZL2+aLCjZyJCYF6GuTbpxQwnV07fZ2OcsAueyUAshICPTpN2qdUZS3nnPJN2vTZarkjuDV4UGTQLWi7mSogEfYgpCXqFwhxEhIu29OGx48umrjtwMoPNfRHPv8GZYUt/FJNL7ftzhdeypd870UpRGTe9crpHIMYJu1HN5fMRhhPh03penJbAF+G1pTXGZDkvf1SxeL/m5szFnLOzYoyijImiJ9mzYxDPz2ZPCy104onJFVywuTfyJYLtgzEcXWxvTI4taE2Y2wa9DHNpa59sYUzEsREXEvBinbXhNvF8xCHtsmQ4gKCfTvFM6ro3JNuAtRoC5lZT6HooY6LoSfbuHAQA7DuyaOj8pVwZh+ZzePHEaTqiXc2ukTiOLeRbJrcB4PB8HpGgz5NZJoJUJIBYyN/SM5nNFDGcCCHod+dWM5I83TMRcjOb+pwxaESEwXgIi00l3JliFXWW3yTZagjYgktNoeuhjImiJ7l4ax9CAR/2HTZmTH52fAkA8OLtvWZMEqjWGcfbeCdHFjTRyk5NjU5DRNjUF8F0i5zJiWV356yMtAhzCWPipKryYDx8ipcseoNk52kGRM4k1+SZOFhcYAZlTBQ9STjgx6Xb+vGwQc/kp0eX4fcRLt7a5/DO5CIEKQ/pmmJrOTKf6wrRyi390ZaFAseX8q4OIRtNaT0vtabS2ZMrQrvMOWMyFA9hvqkkeWbFGfHNVCQIH51aOeZkpZoZlDFR9CxX7BzEk1MrLYcFreWnx5Zw/njS84oXs5ylC1Iemj+9fapaq+PYYh47usCYtMrt1OuMyaUCtrlqTCKoM07xTk6mixiKhxAKOHe7G02FGxppgDb5EpBfEu3zkZ4X0t6/VK0hW6qqBLxCYYe9OwdR5/XzJtVaHY8eX8ZLeizEBWgx8uFEuKVK8rHFPKp17grPZGIohuV8BStNieG5bAnlah3bXCxbFv02zRVwM+mi46XJm/uimMmsekROekNjqUijSk6Eu9yQq1kPZUwUPcueiUFEgj5895lO2qDAgZkM8uVazyXfBeePJ/FMi25/0Tdzfhd09G8f1Aza0cXVcJzI87jpmWzTVQOaJWhm0kVscrhpcrw/glqdGx7DTLqIZDjQGLUrk9FkpJEHWnAoN2MFZUwUPUs05MfVu0dw3zMz0KYXtObHB+cBrFaA9RoXjKfw/Ez2tIquZ6fT8BGweyzh0c5WmRjSbuJHF1Y9gmMeGJNWnsnUcgHjDsvNbNbLo08srxqTMYeUqcdSq+XPYr1NXaCCrYyJoqe59oIxTK8U8eRUe52uHzw3h3PHko1+iF7j/PEUyrU6Xpg7NdT1zMkMdo0kTpNb9wJhTI7Mr3omh+dz8PvIVamXtRMql3JlLOcr2OVwKHBTo3FTW/dkuuiYhMxYKoLFXBmlag1TutH0UgFBoIyJoqd59flj8BFw79MnW76eKVaw7/ASfu7c3h2IduEWLYz1+PFT5WOePpHuGp2xWCiAbYPRRugNAJ6ZzmDXcNzxcb1r2ToQbRiTQ7pxczqvtHlN4+bJlaJjvT/CSM2mS5haLiAU8GE47v6UzbUoY6LoaQbjIeyZGMR/PXmyZajr20/NoFyr47oLN3mwOzmcNZLAQCx4Shn05FIeU8sFvKSL8kAvGu87Rcn52ZNpnDfufj5n53AcB2c1L054Sk5XvKWiAcRDfkwuFZAtVTG9UsQuh0ZDi2KCmXQRU8sFbOmPetpnJFDGRNHzvPGyLXh+NoufHls+7bU7HzuBLf1RXLat3/V9yYKIsGfHIB5uatAUFWzdlAe6YHMKRxZyyJaqSBcrmFwqeOI5XTCewsl0EQvZUiPUJhLzTkFE2D2WxLMn0w1DttshQdGdQ5qRemEui6mlgqfjB5pRxkTR81x/6WYkwgHc8uPDpxx/YS6LHz43hze/ZGtPTFbsxJW7hnBsMd/4pv2TFxaQjARwXhdUcgletDkFZm00wBO6ovMFHngmL9L11546kcYz02lMDMUc7TERXLA5hadPpPHcjBbq2z3qTGHE9sEYYiE/npnOYFIZk1WI6C1E9BQR1YloT4fzriOiA0R0kIg+0HR8JxE9pB//MhF5XyOncJV4OIB3vXQC33x8Gk+dWM0rfPK7BxHy+/DOKyc83J0cRJju64+dQLFSw389eRLXnD/myExzq1y+cxBBP+F7z87iu8/OIuT3eeI5vWizpnLw6PFlPHR4ES/dNeTKuuePp5AuVvGD5+YQCvgc6/z3+QjnbkriW0+exEKu3DXipZ4bE2gz238ZwA/bnUBEfgCfBPA6ABcAeDsRXaC//PcAPs7MZwNYAvAeZ7er6EZuunoXhuIh/NHtj2E5X8a3njyJ//jZFH7z6p2uKdY6yZb+KPbuGMRt+47jSw8fQ6ZYxS9dtsXrbZ1CKhLElbuG8I3Hp/GtJ0/iyrOGHOmzWI++WBDnbUrin+59DtlSFVedPezKusIj+ubj07hoSx8CDopbnq+H8gDg5bvd+Xzr4bkxYeZnmPnAOqftBXCQmQ8xcxnAbQCuJy128SoAd+jn3QrgjY5tVtG19MdC+Ke3XYpDczlc8T+/g/d+4RFcuq0f7/v53V5vTRp//NpzMbVcwN98/WlcvmPAtZukGd6+dzumlguYWi7gHXu3ebaPX7tqR+PxVWe58/d0ydb+RvPgjS/b0flkm/zCheONx06XPRulV4SKtgA43vR8EsAVAIYALDNztel4y69rRHQTgJsAYPv27c7tVOEZP3fOCO747ZfiK/snMZYK48aX7UA05H0Phiz27hzEzb/6Ejx5Io1fvXKiq0Jcgl+4aBz/+JZLUKnVcV3TDc9tfumyrVjIlXHdizahL+bOMDS/j3DHb78MX3/sBH7B4erBl+8exld/+2UA0DX5QOrUOSxtEaL7ALT62/0LZr5TP+f7AP6Ymfe3uP7NAK5j5t/Qn/8qNGPyIQAP6iEuENE2AP/FzBd22s+ePXt4//7TllEoFApFB4joEWZumdt2xTNh5mtsvsUUgGafeat+bAFAPxEFdO9EHFcoFAqFi3ieMzHIPgC79cqtEIAbANzFmlv1PQBv1s+7EcCdHu1RoVAoNiyeGxMi+iUimgTwUgDfJKJ79OObiehuANC9jvcBuAfAMwBuZ+an9Lf4MwDvJ6KD0HIon3H7MygUCsVGx5WcSbehciYKhUJhnk45E889E4VCoVD0PsqYKBQKhcI2ypgoFAqFwjbKmCgUCoXCNhsyAU9EcwCO2niLYQDzkrbjBb2+f6D3P4Pav/f0+mfwYv8TzNxy0tyGNCZ2IaL97SoaeoFe3z/Q+59B7d97ev0zdNv+VZhLoVAoFLZRxkShUCgUtlHGxBo3e70Bm/T6/oHe/wxq/97T65+hq/avciYKhUKhsI3yTBQKhUJhG2VMFAqFQmEbZUxMQETXEdEBIjpIRB/wej9mIaJbiGiWiJ70ei9WIKJtRPQ9InqaiJ4iov/u9Z7MQkQRInqYiB7TP8PfeL0nKxCRn4h+RkTf8HovZiGiI0T0BBE9SkQ9qfhKRP1EdAcRPUtEzxDRSz3fk8qZGIOI/ACeA3AttPHA+wC8nZmf9nRjJiCiqwFkAXxuvWmU3QgRjQMYZ+afElESwCMA3thj/wYEIM7MWSIKAvgRgP/OzA96vDVTENH7AewBkGLmX/R6P2YgoiMA9jBzzzYsEtGtAO5n5k/rM55izLzs5Z6UZ2KcvQAOMvMhZi4DuA3A9R7vyRTM/EMAi17vwyrMPM3MP9UfZ6DNttni7a7MwRpZ/WlQ/+mpb3REtBXA6wF82uu9bESIqA/A1dBnNzFz2WtDAihjYoYtAI43PZ9Ej93IziSIaAeAywA85PFWTKOHiB4FMAvgXmbutc/wCQB/CqDu8T6swgC+TUSPENFNXm/GAjsBzAH4f3qo8dNEFPd6U8qYKHoOIkoA+CqAP2DmtNf7MQsz15j5UgBbAewlop4JORLRLwKYZeZHvN6LDV7OzC8G8DoAv6uHf3uJAIAXA/i/zHwZgBwAz3O4ypgYZwrAtqbnW/VjChfR8wxfBfBFZv4Pr/djBz008T0A13m8FTNcBeANet7hNgCvIqIveLslczDzlP7nLICvQQth9xKTACabPNo7oBkXT1HGxDj7AOwmop16wusGAHd5vKcNhZ68/gyAZ5j5n7zejxWIaISI+vXHUWgFHc96uikTMPMHmXkrM++A9n/gu8z8To+3ZRgiiuvFG9BDQ68B0FPVjcx8EsBxIjpXP/RqAJ4XoQS83kCvwMxVInofgHsA+AHcwsxPebwtUxDRlwC8EsAwEU0C+Gtm/oy3uzLFVQB+FcATes4BAP6cme/2bkumGQdwq14d6ANwOzP3XHltDzMG4Gva9xIEAPw7M3/L2y1Z4vcAfFH/YnsIwK95vB9VGqxQKBQK+6gwl0KhUChso4yJQqFQKGyjjIlCoVAobKOMiUKhUChso4yJQqFQKGyjjIlCYREiYiL6X03P/5iIPiTpvT9LRG+W8V4KhRsoY6JQWKcE4JeJaNjrjTRDRKp/TOE6ypgoFNapQpvD/YdrX1jrWRBRVv/zlUT0AyK6k4gOEdFHiehX9BknTxDRWU1vcw0R7Sei53RNLCES+TEi2kdEjxPRbzW97/1EdBeAp/VO72/qc1OeJKK3OfkXoVCobzAKhT0+CeBxIvoHE9dcAuB8aOMADgH4NDPv1Yd9/R6AP9DP2wFNN+osAN8jorMBvAvACjNfTkRhAD8mom/r578YwIXMfJiI3gTgBDO/HmjIlisUjqE8E4XCBrpq8ecA/L6Jy/bps1lKAF4AIIzBE9AMiOB2Zq4z8/PQjM550LSk3qXLyTwEYAjAbv38h5n5cNN7XUtEf09Er2DmFfOfTqEwjjImCoV9PgHgPQCaZ0pUof//IiIfgFDTa6Wmx/Wm53WcGi1Yq3XEAAjA7zHzpfrPTmYWxijXOJH5OWieyhMAPkJEf2XhcykUhlHGRKGwCTMvArgdmkERHAHwEv3xG6BNVDTLW4jIp+dRdgE4AE1o9Ld1KX4Q0TmtBiMR0WYAeWb+AoCPoQskyhVnNipnolDI4X8BeF/T808BuJOIHgPwLTR5DSY4BuBhACkA72XmIhF9Gloo7Ke6JP8cgDe2uPYiAB8jojqACoDftrC+QmEYpRqsUCgUCtuoMJdCoVAobKOMiUKhUChso4yJQqFQKGyjjIlCoVAobKOMiUKhUChso4yJQqFQKGyjjIlCoVAobPP/AxQmSFG10rQYAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5088,7 +5114,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 75,
    "metadata": {
     "slideshow": {
      "slide_type": "-"
@@ -5101,12 +5127,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 76,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5140,12 +5166,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 77,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5186,7 +5212,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 78,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -5200,14 +5226,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 79,
    "metadata": {
     "exercise": "solution"
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5271,7 +5297,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 80,
    "metadata": {
     "slideshow": {
      "slide_type": "-"
@@ -5280,7 +5306,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x144 with 1 Axes>"
       ]
@@ -5308,7 +5334,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 81,
    "metadata": {
     "slideshow": {
      "slide_type": "-"
@@ -5317,7 +5343,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x144 with 1 Axes>"
       ]
@@ -5342,7 +5368,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 82,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -5351,7 +5377,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5376,7 +5402,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 83,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -5385,7 +5411,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5402,7 +5428,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 84,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -5411,7 +5437,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 864x288 with 1 Axes>"
       ]
@@ -5451,7 +5477,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 85,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -5465,14 +5491,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 86,
    "metadata": {
     "exercise": "solution"
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x216 with 1 Axes>"
       ]
@@ -5489,14 +5515,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 87,
    "metadata": {
     "exercise": "solution"
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x216 with 1 Axes>"
       ]
@@ -5513,7 +5539,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 88,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -5523,7 +5549,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5541,7 +5567,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": 89,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -5551,7 +5577,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5581,12 +5607,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 82,
+   "execution_count": 90,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5625,12 +5651,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 83,
+   "execution_count": 91,
    "metadata": {},
    "outputs": [
     {
      "data": {
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+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5647,7 +5673,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 92,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -5656,7 +5682,7 @@
    "outputs": [
     {
      "data": {
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+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5673,7 +5699,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": 93,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -5683,7 +5709,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 864x288 with 3 Axes>"
       ]
@@ -5701,7 +5727,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": 94,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -5710,7 +5736,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 864x432 with 2 Axes>"
       ]
@@ -5733,7 +5759,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 87,
+   "execution_count": 95,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -5742,7 +5768,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 864x432 with 2 Axes>"
       ]
@@ -5802,12 +5828,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
+   "execution_count": 96,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x288 with 1 Axes>"
       ]
@@ -5838,12 +5864,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 89,
+   "execution_count": 97,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x288 with 1 Axes>"
       ]
@@ -5874,7 +5900,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 90,
+   "execution_count": 98,
    "metadata": {
     "slideshow": {
      "slide_type": "-"
@@ -5883,7 +5909,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 864x288 with 2 Axes>"
       ]
@@ -5920,7 +5946,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 91,
+   "execution_count": 99,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -5934,12 +5960,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 92,
+   "execution_count": 100,
    "metadata": {},
    "outputs": [
     {
      "data": {
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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5967,12 +5993,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 93,
+   "execution_count": 101,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjwAAABECAYAAACF4e8fAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAAAClklEQVR4nO3Zv0tWUQDG8WP4M0h7ExuDJic3g1pcgv6NaCiCgpbIMMcIgpaoQXpp6F+oOQLX2moPGpU30yB/INwWF4dy6bwnHj6f5Qz3Dg9cLnzhjHRd1xUAgGCnWg8AAKhN8AAA8QQPABBP8AAA8QQPABBP8AAA8UZPeuHBi/Uy2N4bxpahe716rXx7ebv1jGou3F0rd949aj2jihtvB2Wxv1Y+3cz8fov9tfL88fvWM6q5t3q1vHl6v/WMaq4vPytfX31sPaOai7culX6/33pGFZfnN8vC0kr5vP6k9ZQqFpZWysMPX1rPqKI3OVaWr8z/8fmJwTPY3isbW7v/dNT/5HB7s/WEqjZ/fW89oYr9jc1jZ6Lt4P+ulFJ+/hi0nlDV4c5+6wlV7ezstJ5QxcHe1rEz0WD3oPWEJlxpAQDxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxRk96YXZmchg7mhmdmWs9oaq50+daT6hi4nx3dOZ+v5neVOsJVZ05O9t6QlWj0xOtJ1Q1PT3dekIV45P7R2ev8ZJ6ZqfGW0+oojc59tfnI13XdUPaAgDQhCstACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4v0G2LZVRfld9xMAAAAASUVORK5CYII=\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjwAAABECAYAAACF4e8fAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAAClklEQVR4nO3Zv0tWUQDG8WP4M0h7ExuDJic3g1pcgv6NaCiCgpbIMMcIgpaoQXpp6F+oOQLX2moPGpU30yB/INwWF4dy6bwnHj6f5Qz3Dg9cLnzhjHRd1xUAgGCnWg8AAKhN8AAA8QQPABBP8AAA8QQPABBP8AAA8UZPeuHBi/Uy2N4bxpahe716rXx7ebv1jGou3F0rd949aj2jihtvB2Wxv1Y+3cz8fov9tfL88fvWM6q5t3q1vHl6v/WMaq4vPytfX31sPaOai7culX6/33pGFZfnN8vC0kr5vP6k9ZQqFpZWysMPX1rPqKI3OVaWr8z/8fmJwTPY3isbW7v/dNT/5HB7s/WEqjZ/fW89oYr9jc1jZ6Lt4P+ulFJ+/hi0nlDV4c5+6wlV7ezstJ5QxcHe1rEz0WD3oPWEJlxpAQDxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxBA8AEE/wAADxRk96YXZmchg7mhmdmWs9oaq50+daT6hi4nx3dOZ+v5neVOsJVZ05O9t6QlWj0xOtJ1Q1PT3dekIV45P7R2ev8ZJ6ZqfGW0+oojc59tfnI13XdUPaAgDQhCstACCe4AEA4gkeACCe4AEA4gkeACCe4AEA4v0G2LZVRfld9xMAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 720x72 with 1 Axes>"
       ]
@@ -5987,12 +6013,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 94,
+   "execution_count": 102,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 720x72 with 1 Axes>"
       ]
@@ -6007,12 +6033,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": 103,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 1440x72 with 1 Axes>"
       ]
@@ -6027,7 +6053,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 96,
+   "execution_count": 104,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -6036,7 +6062,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 720x72 with 1 Axes>"
       ]
@@ -6051,12 +6077,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 97,
+   "execution_count": 105,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 576x72 with 1 Axes>"
       ]
@@ -6071,12 +6097,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 98,
+   "execution_count": 106,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 720x72 with 1 Axes>"
       ]
@@ -6104,7 +6130,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 99,
+   "execution_count": 107,
    "metadata": {
     "slideshow": {
      "slide_type": "-"
@@ -6113,7 +6139,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6142,7 +6168,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 100,
+   "execution_count": 108,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -6151,12 +6177,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 101,
+   "execution_count": 109,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x432 with 3 Axes>"
       ]
@@ -6190,7 +6216,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 102,
+   "execution_count": 110,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -6213,7 +6239,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 103,
+   "execution_count": 111,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -6303,7 +6329,7 @@
        "16                      0.70              7.95         142.81  "
       ]
      },
-     "execution_count": 103,
+     "execution_count": 111,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6314,7 +6340,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 104,
+   "execution_count": 112,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -6324,7 +6350,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 864x288 with 1 Axes>"
       ]
@@ -6352,7 +6378,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 105,
+   "execution_count": 113,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -6623,7 +6649,7 @@
        "1     2          12                   1.5         1.5                  2.28  "
       ]
      },
-     "execution_count": 105,
+     "execution_count": 113,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6635,7 +6661,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 106,
+   "execution_count": 114,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -6644,7 +6670,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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FCjY22fTrVSoVLCxUCAj4AytWLEX79t/Czc0dr1+/gkoF2NhY6Y8JAGFhYciWLRvUajXUagt9Lvfu3QUAWFio9NtaWqqg1WphaanSv1apVNDptAa5Z8/+Lh9LSwv9seLzUqvfPfH+p5+Wwc7OTp+Dvb39/7f5L7f4WzMSey8sLFQG6ywt3x0j/lg2Ntb69lGrLQ1ixOcwfvxklC1b7v9t+hx2drn1vxMAnDt3Gq6udRIcv2nTL+Hs/AUCAv6Av/8WnD0bgFGjxhjEf19S721iktv2w7gWKlWiYyQp6b7RRVGUBMtSO93a8+eR0OkM4zg42GLxSK8U9/WetgZhYcbdcmZszI85rky5mkNcmXIVFVemXM0hrky5mkNcmXIVFVemXM0hrky5mkPcD2PqdDohT3tPikajg1ptgdDge4muL5A/P3b7b4FLrdoAgF8OHkK1ajWg0eig0ylQFOW9p8gr0Gp1OHfuDBo2bAI3N3fcvHIRFy6cR5mSJVCiWDFs99uC1l+3gLW1NXwnjEOHdt+gUqUqOHDgANzd2+D8+TNYvXoFhgwZgW3bNqNLl+7IndsOu3btROXK1aBSqZA7d24Enj6Jzz/7HEcOHYCtrS1Cg+9Bp9Xg+dNgqHWxeBn2VP/7WVhYIC5OA41GhypVqmH79m3o1u0H3L37L7y9e2D79r2oUaMmdm7fAq8uXXEn6A6Cgx/qYyVGp/vv99Zqdfp2iG+D+PYBVAZtGxp8D+XKlMbmDWvg3acvwl+EY8DQIZg5ZRq+qFZLH/PMmQAMGzYqQV8YO3YkvvyyGVyrV4NdzuxYtXZNku8dADgWLmp0f0quHyRgoTLotxYWqkRPgOhjGxc1afnz58ezZ8/0r8PCwuDo6JjesERERET0kRvsMxBLly/D1u1+0Gg0KFO2PAYPHp7sPm5urTFhwmgcP34EUHQoU6o0QkND8WXjJvi6eQv8OHokdDoFtWvWRCXnL/BF1ZqYMmUidu3y//+kAL4oVqw4Onf2grd3z3fHLVMOw4aNBAB06fQdJk2bijx58qB82XJ4HZF8kVmtWg0sW7YEuXLlwqBBP2LmzCno2tUTiqLA13cicuTIiR49emP0yGHoN3AAChcqhPyO+U3Whh/69psOWLpiObwHDYBOp0O3zl3waYEC+vWxsbGIiIjQTwv9vs6dvTBz5mTEvI2GpaUlunc1rhjPbOkuaAoVKgQbGxtcuHABVatWxe7du1GvXj1T5EZEREREgr2N0WDfHHchcVNSqGBBTB7/370r73/j36KFG1q0cNOve/95KevXb0v0G/+vv/oKX3/1lcGy/PkLYO7cxQmO7ebmATc3jwTLv2zcBF82bpJg+cqly/Q/O1WsiMbNW0Kj0aFJk2Zo0qSZft3MmfMT7JszZy6M+jH5Qi1ejx69Dc56VKlSDVWqVANg2AYtWrihVSt3fRvs9d8JAMiRIweGDBiYZHxra+sknz1TqlRprFmz0fgzKWYizQVNjx494OPjAycnJ8yePRu+vr6IiopC+fLl0aVLF1PmSERERESCRLyORgRSd0lQai41IhItVQXN0aNH9T+vWPHf1HZly5aFv7+/6bIiIiIiIiIyQsZNc0FERERERGRiLGiIiIiIiEhaLGiIiIiIiEhaLGiIiIiIiEhaLGiIiIiIiEha6X4ODRERERHJK6+dNdTWNu9+zlvBZHE1sTF48SrWqG3vP7iP/oMHYerUWahXr6HJcrh67RrGf9sBq1ZtRPHiJfTL69SphlOnAk12nLQICQ1FHx9vfFa4MBRFgUajQSXnLzBqzMRk91u58meULVsOJUqUQv/+vbB88U8JtmnVro3+uTQAcO/+fQwZOQKKAoSEPEX27NmRO7cdrKys0LXr97h16yZ++KG3SX+/0NAQLFw4F5MnzzBp3MSwoCEiIiLKwtTWNvh3SluTxy0+egcA4wqaw8eOwqVWbeza5W/Sgibe1KkTsGzZGlhaWpo8dnrY582LBbPnAgA0Gg2G+47CmTMBqFHDJcl94guPJ08eG32cokWKYMOGrdBodJgyZTwqV65q8NDSOnXqp/E3SNqZMwGoVSvp38OUWNAQERERUabRarU4fvIkpk+aghFjfPHoUTB27vRDvnwO6NixMwDA1/dHNG3aHOXKVcDEiWMQEfEaJUqUwoXAs1izfGWy8StWdIZarcamTevQpcv3CY69ZMkCXLp0AVqtDi1buqFx3Tq4eu0atvhtw9SJkwAA8xcvglOFCqhYoSLGT56E3LltkTNXbsyduxgLF85BYOB5qFRAs2Yt8N133XDxYiA2bFiDbNmy4d69uyhZshS8e/aElZVVknnGxsVBo9EgT568AABv7574/vueqFKlGp48eYz+/XvB33+fviCpXLmqft+Q0FDMXTgfb9++RZlSpVPV/vv378OlSxcwevR4tGvnhiZNvsSJ40dhaWmBzh07Yfe+vXjy5Am+79oNdVxc8eLlSyxZ9jOePX8Ga5ts6NmzH6pXr5kg7tmzARg06EeDZZevXMHajeuhggo5c+XEsIGDkTt37lTlmxjeQ0NEREREmeb8hQtwdHBAoYIFUa9eA+zZswPNmrXAkSMHAQBv3kTh6tUrqF27DhYsmI1GjZpi3bqtaNSoMZ6Hhxt1jOHDx8DPbzP+/fcfg+X79u0CAKxevQkrVqzDyZMncP3GjWRjPXr8CIN9BmLx4p+xe/cOhISEYN26LVixYj1OnDiKgIBTAIBr165g0KAfsWmTP0JCnuLS5b8SxAp/8QIDhg6Gz5BB+L5XD9jltkPJkqWM+p3et2zlCjRu0BALZs9FubJlU73/+xwcHPDT/AUoUbw4duzahYljxmGwz0Bs3/nuEraVq1ehSaNGmDdzNmbNmodZs6bizZsogxgajQYvX77EJ584GCz32+GPvj17Ye7MWahRtTr++fffdOUajwUNEREREWWaI8eOop5rXQBAkyZfYv/+X1CsWAnExsYgOPghTpw4BheXurC2tsb58+fQvHkLAECDBo2QM2dOo45RoEAB9OzZD1OnToBWq9UvDww8h1OnTqJbt47o2bMbwsJCcP/B/WRj2dnZIb+jIwDg4sXzaNGiJSwtLZEtWzY0bfoVLlw4BwAoVqwEHB3zw8LCAkWLFkNEZGSCWPGXnC2cMw8bVq2BXe7cmDt3plG/0/uu3biOOq51AAD169aDWp32i7Bq13YFADh84oCKFSrA0tISDg4OiIp6l/9fV69g87atGDB0MAYN6g+NRoNHj4INYly58hecnL5IELtGteqYOnMGfl65AoULF0LlSpXSnOf7eMkZEREREWWKl69e4sKliwj6Jwj79v8CC0tLRES8xvHjR/Dll+/O0ly7dgWdOnUFAFhYWECnU9J0rFatWuPYscPYtGmdfplWq0Pfvj6oX78RACAy8hUinofiTlAQFPx3HK1Go//Zxtpa/3PCXBR9wWT93naAClCSz9vKygquLq7Y6r/93R4qlX6d5r3jJ0YFQNHp9Pu9v29qqdVWgO7dvU8WFgnPfeh0OkweNwG2trZwLFwUT5+GIG9ee4NtzpwJgItLnQT7uru5oXq1ajh/IRBrN2zAnaAgtG/bLs25xuMZGiIiIiLKFMdPnoRzRSesWb4SK5cuw+7d+9Gly/fYs2cnvvyyOY4ePYSHDx/iiy8qAwCqV6+JQ4cOAAACAv5EVFRUcuETiL/0LF7VqtWwd+9uaDQavHnzBr16dcftO3eQO7ctQkJCEBsbi4iICFy/dTPReFWrVsNvv/0KrVaLt2/f4uDBA6hcuVoaWwO4eu0qypR5d8mYnV0e3L377hK5P/44nux+Xzg74/jJkwCA02fPIC4uLs05pMS5ohP2//7uPbh791907eqJmJi3Bttcu3YFFSs6J9h36IjhiI6OhntLN7i3bGmyS854hoaIiIgoC9PExvx/RjLTx03JkWNH0bljJ4Nlbdp8g82b1+Pt27ews8uDChWc9GccBgwYgkmTxmHv3p0oVaqM/pKzO0FB2LxtK8aN9k32ePGXns2cOQUA4OHRDsHBD+Hl1RFarRYtW7rDqWJFAEC1KlXhPWgAHB0cUaFsuUTjubu3xcOHD9Ct27fQaDRo1qwF6tdviIsXjZsSOv4eGgCIjY3DpwUKYMKkaQCATp26YMqU8fj1172oW7dBsnF6de+BuYsW4MChgyhVsiSyZ89u1PHTomf3H/DTz0vRf/AgqK2s4Os7ETly/HfpX2hoCOzt8yV62Vvnjp2w4KdFsLS0hLW1Nfr27GWSnFjQEBEREWVh754VEwu12gKhwfeM2sexcFFoNLp0H3vR3PkJluXNa48jR/4EACxc+LPBumPHjmDgwKEoVqw4goL+xt+3rgMASpUsmWgx41SxIho3b2mQa6tWrdGqVWsAgFqtxsCBw/Tr3m+Dvr0Sfy7LyqXL3tvecP94VapUQ5Uq/52pGTt2QoK2ze/oiJ1b/RLsmy/fJ9BodChXrgI2btyuX+7l1QMAMHr0eP2y3bt/RWjwPeTLlw9Txv/3/Bqfvv0Szf3D/QGgRQs3/RTO/v779G3QsYOnQa7xv3c+e3uMHTUaQOL9wNExf5LPnvnC2RkL58xLMre0YkFDRERERFIoXPgzjB8/GhYWKtjY2MC7d5/MTonMAAsaIiIiIpJC7dqu+lm4UnNGiT5unBSAiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxUkBiIiIiLIw2zw2yGb17qn2efNWMFnct3GxiHiZ9LNoQkJD0aNvbzRr2hT9ev03W9mdO3/Dy6sTRo0ahxYt3NCtW0esXbs5yTjJxe/j441ixYpDUf5b7ubmgbZt2xtsu3//Ply6dAHjxk1EekyZMh4XLpxH7tx2UBQd1GorDB48HF98kfAhk/Geh4dj8dIlGDfaF/MXL4JLnfpo3rylwTarVr2bMrl79/+e2zJnzgxcu3YZb6Pf4MnTp/iscOF3v1+Lr/Hn6dPw7tMX+ezt0/X7fGjR0p/g3tINn3/2uUnjphcLGiIiIqIsLJuVNdpvM/30x34dliICyT9c09bWFhcvXYJWq4WlpSUA4MiRQ8iTJ69+m7QUM/Hs8+bFhg1bTfLMHGP98ENv/XNdTp48jvnzZ2LNmo1Jbp/P3j7FB4ImZsiQ4VCrLXD14jmMHjcGC2bP1a9r0qhx6hM3woOHD82umAFY0BARERFRJsmeLRuKFS2G6zdvwLmiEwDg3LkzqFathn6bOnWq4dSpQKxatQzPnoXh4cMHCAl5ilatPPB10yZpPvaBA79i3bpVyJkzFwoUKIDs2XMAAK5eu4blq1fCwsISZcuUxsOHwZg6cRIeP3mCpSuWISIiAjY2NhgxcixKlCid7DGioiKRN28+fdwtftswdeIkAMD8xYvgVKECKlaoiNHjxhg8sBMANm9ej717d8HOLg9sbW1RrpzxZ89+6NMLUyZMwrXr13D+wgWEh4fjxatX+OYbT4SEhODixXdnkWbPXggbGxv89tsv2L59C3Q6BeXKlUPXb7+FtbW1Qcy79+6haJEiBss0mjhMmjQe//77DwCgdetv9A8tzUgsaIiIiIgo09RxcUHA6dNwruiEGzeuo2TJUlDev0bsPUFBd7BkyUpERkagQwcP1HepjVw5cyYZO/zFC3Tu7GlwydmYMRNhZ2eHpUsXYs2azcid2w4//jgQ2bPngEYTh3mLFmDMyNEoVrQoVqxepd9v/uKF6NW9B0oUL44HDx9izJiR2Lx5R4Jjrlz5M/z8tuDt22iEhDzF9OlzE2yTklu3buDXX/di9epNUKlU6N3bK1UFzfvuBN3BornzYWObB61bt8ScOYswYMAQ9O/fC+fOnUahQp9h377dWLp0NWxsbLB8+U/YtXcPOrT7xiDOxUsXUbVyFYNlV65cwevXr7FmzWa8evUSixfPZ0FDRERERFlL9WrVsXHLFuh0Ohw+fBCNGjXFkSMHE922SpVqsLKyQt689sidOzfevIlKtqBJ6pKzY8cOo2JFZ9jbvzt78uWXX+HChfMICgqCnZ0dihUtCgBo0qgRVqxejejoaAT98w8WLlmsjxEd/QavXr2EnV0eg9jvX3J2+/YteHv3wsaNW1PVJhcvXkCtWq7IkePdWaOGDZtAq9WmKka8cmXLIUeOHHD8tCAAoGrV6gCAAgU+RUREBC5dCkRw8EP06uUF4N1ZlyKffZYgzuWrV/FV868MlpUoUQIPHtzH4MHeqFXLFX369E9TjunFgoaIiIiIMk2O7NlRrGgR3Lh1E4GB59GzZ78kCxrDy6BUSOJETopUKhV0uv92jr9/x9LS0mB5PJ1OBysrK4P7VGCdHblz2yV7nNKly6JQoUK4desmVCoVFPwXW6vRJJufovxXhFlaWqa5oFGr1cm+1mp1aNSoCQYOHAYAiI19i6cP7xps8+bNG6hUKuTInt1guZ1dHmzY4Ifz58/i9Ok/8f3332HDBj/Y2tqmKde04rTNRERERJSpXF1csX7jRpQrVy7BB24RnJ0r4caNqwgLC4VOp8PRo4cAAEWLFkNUVCTu3b8PADjxxx9QqVTImTMnCn76KY6dPAEAuHT5L/Tu/UOKx3n69AmePHmMkiVLI3duW4SEhCA2NhYRERG4futmkvtVq1YdAQGnEBkZiZiYGJw8ecwEv3XiKleuipMnj+PFi3AoioKZM6di7y/7DLb568oVfOGccKa2kydPYOLEMXBxqYOBA4cie/bsCA0NEZZrUniGhoiIiIgyVY2q1bBoyU/o139gqvd9Hh6OiVMnG549+b/E7qGpVKkyBg4c9v9/fZEtW3YULVoMAGBlZYXBPgMxb9FCWFioUKhgIf1ZoSEDBmLJsmXYuXs3rNRqTJ48HSqVKsEx4++hAYCYmLfo128gPv/8c2Sz0KFalarwHjQAjg6OqFC2XJK/U6lSZfDNN9/ihx+6wNbWFvnzf5rqdjFWqVKl4eXVAz4+vaEoCkqXLot2rdsYbHPx0kW4ff11gn1dXFxw5MghdO7cHtbW1qhfvxFKlCgpLNeksKAhIiIiysLexsXCr8NSIXGTk9/RUT+zV/bs2eG/eSscCxeFRqPD6NHj9dudOhUIwPAZLACwe/evCA2+BwCJFjP5HR2xc6ufPuaHGjZsgoYNDWdJ0+l0OBt4HjMmT0G2bNmwe99ePA9/DgAoXKiwfoYyAInGfT/vxPTt1TvR5fHtMNC7vz5u27btEzwvJzHvt+OH8fI7NkLjho30y+Pb8sNc3dw84ObmAQBQqy307RrPu0/fRI+tVlthzJj0PbvHFFjQEBEREWVhES9jEIGYRD/IJiWpIkF2FhYWsM2VC0NG/Ai1Wg1HB0f079svs9OiFLCgISIiIiL6v3at2yS45IrMGycFICIiIiIiabGgISIiIiIiabGgISIiIiIiabGgISIiIiIiabGgISIiIiIiaXGWMyIiIqIsLK+tNdTZbN79nLeCyeJq3sbgRUTSz6IJCQ1Fj7690axpU/Tr1Ue//M6dv+Hl1QmjRo1DixZu6NatI9au3ZymHFq1a4MzZy4muf7ZszBMnz4Js2cvxKlTJ/H4cTCa1KuT6LavIyIwZsI4AMCLly9hYWEJe/t8AIBhw0Zh375dGDFiTJryTEpsbCwGD/bG4sXLTRr3Y8OChoiIiCgLU2ezwZ/ubU0e13XPDiCZggYAbG1tcfHSJWi1WlhaWgIAjhw5hDx58uq3SWsxY4xPPnHA7NkLAQB//30TFhaqJLfNbWurf4Dn5m1bkTN3Hnh59dSvr1Chosnzu3z5IipVqmLyuB8bFjRERERElCmyZ8uGYkWL4frNG3Cu6AQAOHfuDKpVq6Hfpk6dajh1KhCrVi3Ds2dhePjwAUJCnqJVKw983bSJUce5eDEQGzasQbZs2XDv3l2UKFES48ZNwbNnYejfvxdmzVqAPXt2AgBy2lihSaPGqfo9Ll4MxOrVy7F48XJ4e/dE6dJlEBh4DjExMRg4cBh27NiGoKDbcP/aDe5uboiOjsbPK1fgwcMH0Ol0aOPRGvXr1E0Q98yZADRsaPg7BgXdwcyZU6DVamFjY4O+PX5AwU8Lpirfjw0LGiIiIiLKNHVcXBBw+jScKzrhxo3rKFmyFBRFSXTboKA7WLJkJSIjI9Chgwfqu9RGrpw5jTrOtWtXsGmTPz75xAG9enXD2bOnUaJESQBAsWLF4e7eBhYWqlQXM0lZv34bVq9ejvnzZ2HTpm0IunkVA4YOgbubG/x2+KNk8RIY1N8Hb968wY+jR6JMqVIokL+AQYwbN66hb98BBsv8/DbD0/M7NGrUBMeOHcLft2+zoMnsBIiIiIgo66perTo2btkCnU6Hw4cPolGjpjhy5GCi21apUg1WVlbIm9ceuXPnxps3UUYXNMWKlYCjY34AQJEixRAR8dpkv8OHatVyBQAUKPApKlRwQrZs2eHo4IioqCgAwOUrVxATG4PDx44AAN7GxODBw4cGBc2TJ4/h6FhAfylevNq1XTF37kycPRuAunXroV4iZ3ayGhY0RERERJRpcmTPjmJFi+DGrZsIDDyPnj37JVnQWFtbv/dKhSRO5KS4r0qlSvIskCmo1f99xP6wIAEArU6HwT4DUKJ4CQDvJhmwzZXLYJszZwJQq5ZLgn0bNmyCihWd8eeff2Dbts1wsLeHd5++Jv4N5MJpm4mIiIgoU7m6uGL9xo0oV66cQTGQkSwtLaHVajPkWM5OFfHb778DAMJfhMNnyCCEPXtmsM25c6dRs2btBPuOHTsSN25ch4dHW/Ts2Qf/3P03Q3I2ZzxDQ0RERJSFad7GvJuRTEBcY9WoWg2LlvyEfv0Hpvo4z8PDMXHqZP0MZGlVqVIVTJkyHtYWQJnSZbB521aMG+2brphJ+fabDli6Yjm8Bw2ATqdDt85d8GmB/y43i42NRUREhH5a6Pd17uyFGTMmY926lVCr1eje1UtIjjJhQUNERESUhb2IiAUiYqFWWyA0+J5R+zgWLgqNRpeu4+Z3dMTKpcsAANmzZ4f/5q36uKNHj9dvd+pUIACge/deBvvv3v2rPt+kipm9/u9mLqtSpRqqVKmmX/5+fH//fQDeFTS7dv2ij5lcMdOxg6dBG7wf//1nxrRo4YYWLdwS5JMjRw4MGTAwyfjW1tZJPnumVKnSWLlyPQCk6j37mPGSMyIiIiIikhYLGiIiIiIikhYLGiIiIiIikhYLGiIiIiIikhYLGiIiIiIikhYLGiIiIiIikhanbSYiIiLKwuxyZ4e1zbuPhHnzVjBZ3NgYDV69jk5yfUhoKPr4eOOzwoUBqKDRaFDg04IYOXIsHB3zp+vYm7ZuQckSJVCzeo00xzh89Aj27f8VAPAwOBifFigAtVqNcmXKwtbWFlVruMDFpW668vzQsZMnYGl9Fh4e35g07seOBQ0RERFRFmZto8bEIb+YPO7YOS1T3MY+b16DZ8j4792HefNmYdq02ek6difPb9O1PwA0adQYTRo1BgD80KcXxo7yRX5HR/16UzyL50MXL16Ez6BhJo2ZFRhV0Ozbtw9Lly5FXFwcunXrhk6dOhmsv379OsaOHYu4uDh8+umnmDVrFnLnzi0kYSIiIiL6OFWqVAUnT54AALRr54by5Svizp2/sWTJSpw5E4Dt27dAp1NQpkxZ/PjjSGg0Gixc8hPuP3gAAGjRrDmaNW2K+YsXwalCBVSsUBFDRo7Ap58Wwr//BqFMmXKoXLkqfvvtF0REvMbUqbNRtGixVOc5f/EiuNSpjy++qIKRI4eiYMHk49+4cR2zZk5BTEwMctvmRt9evVEgv+FZKJ1Oh5CwUBQqVNigUNq6dSN+++1XWFioUK5cBfz44+h0tPDHKcV7aEJCQjBv3jxs3rwZe/bswbZt2xAUFGSwzZQpU+Dj44O9e/eiWLFiWLVqlbCEiYiIiOjjo9FocPjwQTg5faFfVquWC7Zs2YkXL15g377dWLp0Ndau3Yy8ee2xadMG3Pr7b0RGRmDB7DmYNG48bv59K0HcoKA76NatOzZv3oFbt27g6dMnWLZsDZo0aYa9e3emO+9//kk+flxcHKZOnYihAwZh/qw58GjVCj/9vDRBnDtBQShVsmSCNtm4cS1WrdqAVas2wsLCAmFhoenO+WOT4hmagIAA1KpVC3ny5AEANGvWDAcOHIC3t7d+G51Oh6ioKABAdHQ07OzsxGRLRERERB+N8BcvMGDoYABAXFwcnL+ojD59/vuMWb58RQDApUuBCA5+iF69vAAAGk0cypQpi3q1ayL48WOMmzQRVatUQdfvOic4Rr58+VC6dFkAgIODI6pWrQ4AKFDgU1y69Djdv4O9ffLxHz68j0ePgjF5xjT9Pm/eJLy36MKli6hauYrBMrVajYoVnfHDD11Qt259tGnzDRwcHBPsm9WlWNCEhobCwcFB/9rR0RFXrlwx2GbEiBHw8vLC1KlTkT17dvj5+Zk+UyIiIiL6qHx4D82H96XY2NgAALRaHRo1aoKBA9/dX/LmzRuoVAqiXz3HT/MW4K/LlxF46QIG/TgUi+ctMDiGWm1l8NrS0tKkv4OVVfLxtVodChYshHkzZv7/tRYvX71KEOf6jRto17pNguXTps3B9etXceZMAIYM8cHYsZNQuXJVE/4G8kuxoFEUJcEylUql//nt27cYPXo01q1bB2dnZ6xZswbDhw/H8uXLjU4iX75cRm+bGAcH23Ttz7gZG1O2uDLlKiquTLnKFlemXEXFlSlXUXFlylW2uDLlKiru+zFDQy2gVmfcUzvScqz397G0fJdv9erVMWTIRnz/fQ/kzZsXc+dOR6FChVHgE3scO3ECw4cMRZXKlXHl6lU8e/YsyZgqlUof08JCBZVKla72sLS0SDF+iRLF8fr1a1y/cQMVypfH4aNHceKPk5g6cZI+zuvXr5EtWzZYW1sbxHvx4gV69+6ONWs2olKlSnj2LBR37/6D6tWrpylfEe+9qP6UmrGQYkGTP39+BAYG6l+HhobC8b0ZHm7fvg0bGxs4OzsDADp06IAFCxYkiJOc588jodMZFk6p+SXCwiKM2i61/0l8jHFlytVc4sqUq6i4MuWa2XFlytVc4sqUq6i4MuWa2XFlytVc4r4fU6fTmXxmruRoNLpUf+B9Pz+t9l2+xYqVhJdXD/Tr1xOKoqBUqTLo0sULz588RMDp0/AeNABWVlaoVbMWihYpkmRMRVH0MXU6BYqiQKPRYeXKn/HJJ5+gXbv2qcpVq9WlGN/CQo2pU2dg5owpiI2NQ44c2THQ28cgzsW/LqFypUoJ8rW1tUOrVq3h5fUdbGyyIX/+Amje/Gv9+vS0bVJExExL3Pf7rYWFKtkTICkWNC4uLli0aBHCw8ORPXt2HDx4EJMm/VdRFilSBE+fPsW///6L4sWL48iRI3ByckpVwkRERESUOWJjNEZNsZyWuMnJ7+iIlUuXJbne33+fwWs3Nw+4uXnoX6vVFlCr1RjkMyDBvgO9++t/3r37V/2H7sWL/7uCqEULN7Ro4QYA+OGH3snm+mGeA7376y+Pez/PpOI7OX2BOdNnJhm/Qb36Sa7r0KETOnTolOR6MvIMzaBBg9ClSxfExcWhXbt2cHZ2Ro8ePeDj4wMnJydMmzYNAwcOhKIoyJcvH6ZOnZoRuRMRERFROsU//FKttkBo8D2j9hHxDBaitDLqOTRubm5wc3MzWLZixQr9z/Xr10f9+klXlkRERERERCJk3F1hREREREREJsaChoiIiIiIpMWChoiIiIiIpMWChoiIiIiIpMWChoiIiIiIpGXULGdERERE9HGyy20NaxsbAEDevBVMFjc2JgavXscmu82fpwPgv2sntFotFEWBW6vW8PTsDAAYOtQHI0aMwSefOKQ5h59XLMedf/9FXFwcgoMfomjR4gCAb77xxLFjh9MdPzHTp09C+/YdUbx4CZPGpaSxoCEiIiLKwqxtbLB4pJfJ43pPWwMg6YLm+fPnWL1uLebNmoPctraIjo7G2MmTULjw56hTpz5mz16Y7hx69+gJx8JF8fBhMPr374W1azfr1339dat0x0/M3bv/spjJYCxoiIiIiCjDvY54Da1Wi5iYGMDWFtmzZ8fYsRNhaWkFAGjXzg2LFi3DpUsXEBBwCs+ehSE0NATt23+LkJAQXLx4HjmyZcO40b6wtrZO9fETix8WFoqvmzdH2LMwXLl6DbltbfXxjx4/hr2//gJFUVCieAmMGTdZn2u8oKA7KFGipMEyjUaDyZMn4u9bNwEALZo1R7OmTdPYapQY3kNDRERERBmuWNFiqFG9Bnr264MhI37E2g3rodPpULjwZwm2vXnzOubMWYglS1Zi8eL5qFXLBZs2+QEALv71V7pziY//888rsXrdWlStXAWL5s7Tx3/w8AEOHj6MmVOmYcHsubCzs8OmTRsSxDlz5k/UquVqsOzq1ct4/fo1Fsyeg0njxuPm37fSnS8Z4hkaIiIiIsoUfXv2Qoe27XDp8l+49Ndf+OGHrhg7dhLq129ksJ2T0xfImTMXcubMBQCoWrU6AMDBwQFRUZHpziM+vp1dbgDAF07OBvGvXLuGx0+fYNioEQDenXUpX8EpQZwLF86jTZtvDJYVL14CDx7cw7hJE1G1ShV0/a5zuvMlQyxoiIiIiCjDnb8QiLdv36Kuax00adQYTRo1RkDgRfzyy54EBY2VleGlXWq1aT/Cfhjf0tLS4LVOp0Od2i7o2f0HAEB0dDTsCxQ22CYqKhIqlQo5cuQ0WG5nlwebN/vj0P69CLx0AYN+HIrF8xYgV07D7SjteMkZEREREWU4GxsbrN+0CSGhoQAARVFw796/KFWqTCZnlpBThQo4c+4sXr56CUVRsHTFcmzduslgm8DAc6hWrUaCfU+dOoHx431RrWpV9Pz+B2TPlg3Pnj3LqNSzBJ6hISIiIsrCYmNi/j8jmenjJse5ohM827fHpGlToNVqAQAurvXg5dUjTcebMGUyOnbwRKmSJVPeOJWKFS0Gz2/aw3f8OCiKguJFi6FLF8OZ4c6cCcA333gm2LdWLVecOHEU3oMGwMrKCrVq1kLRIkVMnmNWxoKGiIiIKAt796yYWKjVFggNvmfUPo6Fi0Kj0aX72I0bNETjBg0Tjevvvw8A8OmnBdGihZt+m1OnAvU/D/Tur/953GjfJI/z6acF9fHiJRV/r//ORON/2aQpvmzy3+xkNjY2Bm0wfHjix1er1Rg3bpLRbUupx0vOiIiIiIhIWixoiIiIiIhIWixoiIiIiLIQRVEyOwWiJKWlf7KgISIiIsoiLCwsodVqMjsNoiQpANRqyxS3ex8LGiIiIqIsInv2XIiIeAlFSf8N/USmpigKot9GIW/evKnaj7OcEREREWURuXLZ4cWLMISEBOPdd+H/sbCwQMTr50bF0TxWQaczrijK7Lgy5WoOcTMzV0VR8DrsMSpVq47nz6OMiguwoCEiIiLKMlQqFeztHRNd5+Bgi8UjvRJd9yHvaWsQFhZh1LaZHVemXM0hrjnk2qz1t0ZtF4+XnBERERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbRY0BARERERkbSMKmj27duHFi1aoGnTpti0aVOC9f/++y86d+6MVq1aoXv37nj16pXJEyUiIiIiIvpQigVNSEgI5s2bh82bN2PPnj3Ytm0bgoKC9OsVRUGfPn3Qo0cP7N27F+XKlcPy5cuFJk1ERERERAQYUdAEBASgVq1ayJMnD3LkyIFmzZrhwIED+vXXr19Hjhw5UK9ePQBA79690alTJ3EZExERERER/V+KBU1oaCgcHBz0rx0dHRESEqJ//eDBA3zyyScYPnw43NzcMG7cOOTIkUNMtkRERERERO9Rp7SBoigJlqlUKv3PGo0G586dw8aNG+Hk5IT58+dj+vTpmD59utFJ5MuXy+htE+PgYJuu/Rk3Y2PKFlemXEXFlSlX2eLKlKuouDLlKiquTLnKFlemXEXFlSlXUXFlylW2uOaQa4oFTf78+REYGKh/HRoaCkdHx/cO5oAiRYrAyckJANCyZUv4+PikJl88fx4Jnc6wcErNLxEWFmHUdqlt8I8xrky5mktcmXIVFVemXDM7rky5mktcmXIVFVemXDM7rky5mktcmXIVFVemXDM7rjnmamGhSvYESIqXnLm4uOD06dMIDw9HdHQ0Dh48qL9fBgAqV66M8PBw3Lp1CwBw9OhRVKhQIVUJExERERERpYVRZ2gGDRqELl26IC4uDu3atYOzszN69OgBHx8fODk54aeffoKvry+io6NRoEABzJw5MyNyJyIiIiKiLC7FggYA3Nzc4ObmZrBsxYoV+p+/+OIL+Pv7mzYzIiIiIiKiFBj1YE0iIiIiIiJzxIKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikpc7sBIiIiIjo46WJi4X3tDVGb0uUWixoiIiIiEgYtZU1Jg75xahtx85pCSBGbEL00eElZ0REREREJC2eoSEiIiIiIgByXiLIgoaIiIiIiADIeYkgLzkjIiIiIiJp8QwNERERkWSMvSzIXC4JIhKJBQ0REVEWJ+M181mdsZcFmcslQUQisaAhIiLK4mS8Zp6IKB4LGiIiIiIigXgWVGwbsKAhIiIiafCDoXzi4rT/P7Nn3LYfI54FFdsGLGiIiIhIGvxgKB8rK0u039bHqG39OiwVnA19jFjQEBERERGBZwBlZVRBs2/fPixduhRxcXHo1q0bOnXqlOh2x48fx8SJE3H06FGTJklEREREJBrPAAJxsRrjLxGM1QjOxjgpFjQhISGYN28edu7cCWtra3h6eqJmzZooWbKkwXbPnj3DjBkzhCVKREQkExHPCeG3x0T/4bN4xLBQdEK2FSnFgiYgIAC1atVCnjx5AADNmjXDgQMH4O3tbbCdr68vvL29MWfOHCGJEhERyUTEc0L47bF8RBWhxn6Lbi7foIvAZ/GIYWljncp7njK/bVMsaEJDQ+Hg4KB/7ejoiCtXrhhss379epQvXx5ffPGF6TMkIiISiGc9xJGpbUXlKqoINfab8dR8gy7T+0X0vhQLGkVREixTqVT6n2/fvo2DBw9i7dq1ePr0aZqSyJcvV5r2i+fgYJuu/Rk3Y2PKFlemXEXFlSlX2eLKlKuouOaQa2o+cDo4WKc1pSSZQxuIiitT22Z2rkDq8jXmW3S/DktTlatsbZCZMRlXXMzUxk2xoMmfPz8CAwP1r0NDQ+Ho6Kh/feDAAYSFhaFt27aIi4tDaGgoOnbsiM2bNxudxPPnkdDpDAun1PwSYWERRm2X2gb/GOPKlKu5xJUpV1FxZco1s+PKlKu5xJUpV1FxZco1s+PKlKu5xJUpV1FxZco1s+OaY64WFqpkT4CkWNC4uLhg0aJFCA8PR/bs2XHw4EFMmjRJv97Hxwc+Pj4AgODgYHTp0iVVxQwRERGRsWScgYlIVL+V6TJBkWPXqDM0gwYNQpcuXRAXF4d27drB2dkZPXr0gI+PD5ycnFJ1QCIiIqK0knEGJiIrazX+dG9r1Laue3YYHVemiUJEtQFg5HNo3Nzc4ObmZrBsxYoVCbYrXLgwn0FDREScTpWEkXEGJiJtTKzRH9K1MR/n/4si28CogoaIiCg1OJ2qXHgZF5FYLMTFtgELGiIyezJdI0zisB+IKzx4GRfJiM/ioXgsaIjIZGR7jgPJRbZ+IOLDlqjCg98ei8OzX+KIeBYP3y85saAhIpOR7QOnCLKdRZAtXxEy+6wHC4+PG89+iWPseEjNWOD7JScWNESUZYn4MC9bUSdbviJk9lkPFh7mQVRhK1MRyrMTcr1f9B8WNESUZcn0YZ5nUsThBxgC+M08wDYgebGgISKSgEzFF1E8mb7xZ2HLNiB5saAhyqL4nBAiEk3kg/SIiOKxoCHKovicECISjQ8TJBJLprOgIrGgISIiIiF4CRORWLzv6R0WNERk9uLitMZ/AxWnFZwNERGReeCXBu+woCEyc5zdCrCyskzlf9iU2UQ8VJKXVhARUWJY0BCZOZlmt+KZFH7ojifioZK8tIKIiBLDgoaITIZnUuT70J3ZDxNMzSUQvLSCiIgSw4KGiLIsER/mRX3oFlV4yFaAERERfYgFDZkE7/MgGcn0YV5UrjzrQUREsmNBQyYh030eAB8qCYi5aVs2Mn2YlylXIiKijMSChrIkEQ+VlO0slYibtomIiIgyGgsaMmsyFQmynaUScdM2ERERUUZjQUNmTbYigYiIiIgylkVmJ0BERERERJRWLGiIiIiIiEhavOSMyMzxyfNERERESeMZGiIzJ9OzUoiIiIgyGs/QEJk5Pn+EiIiIKGk8Q0NERERERNLiGRozJtMzWHifBxERERFlBhY0ZkymZ7DIdp+HsQUYiy8iIiIi85alChqZzniIIqoNZLvPw9iiyhyKLyIiIiJKWpYqaGQ64yGKbG0QF6c1/lK2OK3RcY0twFJTfPGyOyIiIqKMl6UKGlF45kccKyvLVJ75yTyyXXZHRERE9DFgQWMCsp31IDFku+yOiIiI6GPAaZuJiIiIiEhaLGiIiIiIiEhaLGiIiIiIiEhaLGiIiIiIiEhaLGiIiIiIiEhanOXMjPG5JkREREREyeMZGjPG55oQERERESXPbM/QGPuwyo/5QZV8rgkRERERUfLMtqAx9mGVqXlQJS/hYhsQERER0cclS11yxku42AZERERE9HEx2zM0Ioi6hEumsx68jI2IiIiIPiZZ6gyNKDzrQURERESUObLUGRpReNaDiIiIiChz8AwNERERERFJiwUNERERERFJiwUNERERERFJiwUNERERERFJiwUNERERERFJiwUNERERERFJy2ynbTb2YZWZ/aBKIiIiIiLKPGZ7hsbYB1DyQZVERERERFmXUWdo9u3bh6VLlyIuLg7dunVDp06dDNYfPnwYixYtgqIoKFy4MKZNmwY7O7t0JWbswyr5oEoiIiIioqwrxTM0ISEhmDdvHjZv3ow9e/Zg27ZtCAoK0q+PjIzE+PHjsXz5cuzduxdlypTBokWLhCZNREREREQEGFHQBAQEoFatWsiTJw9y5MiBZs2a4cCBA/r1cXFxGD9+PPLnzw8AKFOmDJ48eSIuYyIiIiIiov9LsaAJDQ2Fg4OD/rWjoyNCQkL0r/PmzYsmTZoAAN6+fYvly5frXxMREREREYmU4j00iqIkWKZSqRIsi4iIQN++fVG2bFm0bt06VUnky5crVdt/yMHBNl37M27GxpQtrky5ioorU66yxZUpV1FxZcpVVFyZcpUtrky5ioorU66i4sqUq2xxzSHXFAua/PnzIzAwUP86NDQUjo6OBtuEhoaie/fuqFWrFkaNGpWKVN95/jwSOp1h4ZSaXyIsLMKo7VLb4B9jXJlyNZe4MuUqKq5MuWZ2XJlyNZe4MuUqKq5MuWZ2XJlyNZe4MuUqKq5MuWZ2XHPM1cJClewJkBQvOXNxccHp06cRHh6O6OhoHDx4EPXq1dOv12q16N27N7766iuMHj060bM3REREREREIhh1hmbQoEHo0qUL4uLi0K5dOzg7O6NHjx7w8fHB06dPcePGDWi1Wvz+++8AgIoVK2LKlCnCkyciIiIioqzNqOfQuLm5wc3NzWDZihUrAABOTk64deuW6TMjIiIiIiJKQYqXnBEREREREZkrFjRERERERCQtFjRERERERCQtFjRERERERCQtFjRERERERCQtFjRERERERCQtFjRERERERCQtFjRERERERCQtFjRERERERCQtFjRERERERCQtFjRERERERCQtFjRERERERCQtFjRERERERCQtFjRERERERCQtFjRERERERCQtFjRERERERCQtFjRERERERCQtFjRERERERCQtFjRERERERCQtFjRERERERCQtdWYnQERERERE5iFWEwu/DkuN3tYcsKAhIiIiIiIAgLXaGv9OaWvUtsVH7wAQIzYhI/CSMyIiIiIikhbP0BAREREREQBAFxf7/zMvxm1rDljQEBEREUnG2PsczOUeB5KHhZU13IbsMWrbfXPcYQ6XnLGgISIiIpKMsfc5mMM9DjLeZE5yYUFDREREJBljLwtKzSVBogoPmW4yZ/ElJxY0RERERJIx9rKg1FwSJKrwkOmeDJmKL4AFWDwWNEREREQkrPCQ6Z4MmYovQL4CTBQWNEREREQkVeEhCttAHJFnk1jQEBERERFJSKYzSiLPJrGgISIiIiKSEM8ovcOChoiIiIhIIN68LxYLGiIiIhKCH+KI3uHN+2Ivj2NBQ0RERELwQxwRxRN5eRwLGiIiIhJCphuWiUTiWBCLBQ0RURbGS4LEMbZtzaFdRfUD3rBMIsk0xjgWxGJBQ0SUhakVMduS8ZdbpeZSK1GFBy8NIxmJGGMkJxY0ZNb47TGRWPzWUBxjLzFJzeUlogoPXg5DMhIxxkhOLGjIrPHbYyISLbMvtzKHQlGmwpZfdFE8mcYYicWChsyaTH9kiUhOMl1uxTMpcr1fAAswoozAgoaIzJ5MHwhiNXGpyDVOcDZkDJmKBH7JI+79EvX/DK80IBKPBQ0RmT2ZPhBYq61S+YHzrdiEKEUsEuQi6v0SdeaH/YtIPBY0RGT2+IGAiEST6UwdERliQUNEJiPTpWFERO/jFydE8rLI7ASI6OMh06VhRERE9HHgGRoiMhl+w0nxRDzBm2cAiYgoMSxoiIjI5EQ8wZtnAImIKDEsaIiyKBHfoMtGpm/8ZcoVEPMEb54BJCKixLCgITJzop5rYuw32B/zN90yfeMvU64An+BNREQZhwUNZUkynZ0Q9VwTfuCU6xt/mXIlIiLKSCxoshhRl63I9nR0EWcnZLskiIiIiOhjwILGBER9mBcRV9RlK7I9HV3E2QnZLgkiIiIi+hgYVdDs27cPS5cuRVxcHLp164ZOnToZrL958yZ8fX0RGRmJatWqYcKECVCrza9WElV4iPowLyIuL1sRh21LRERElPFSrDpCQkIwb9487Ny5E9bW1vD09ETNmjVRsmRJ/TbDhg3D5MmTUalSJYwaNQp+fn7o2LGj0MTTQrazCERERERElLwUC5qAgADUqlULefLkAQA0a9YMBw4cgLe3NwDg0aNHePv2LSpVqgQAaNOmDRYuXJjugkamm7aJiIiIiChzpFjQhIaGwsHBQf/a0dERV65cSXK9g4MDQkJCUpWEhYUqYWKpuGk7sf2T4pg3u9HbfqxxZcrVHOLKlKuouDLlag5xZcrVHOLKlKuouDLlag5xZcrVHOLKlKuouDLlag5xzS3XlI6hUhQl2dLh559/RnR0NAYNGgQA2L59O65evYqJEycCAC5evIhZs2Zhy5YtAID79++jV69eOHDggNEJExERERERpYVFShvkz58fz549078ODQ2Fo6NjkuvDwsIM1hMREREREYmSYkHj4uKC06dPIzw8HNHR0Th48CDq1aunX1+oUCHY2NjgwoULAIDdu3cbrCciIiIiIhIlxUvOgHfTNi9btgxxcXFo164devTogR49esDHxwdOTk64desWfH19ERUVhfLly2PatGmwtrbOiPyJiIiIiCgLM6qgISIiIiIiMkcpXnJGRERERERkrljQEBERERGRtFjQEBERERGRtFjQEBERERGRtFjQEBERERGRtFjQEBERERGRtNSZnUByHj58iOPHj+P+/ftQqVQoUqQIGjZsiEKFCpld3HPnzuHo0aO4d+8eLCwsUKRIETRu3BjVqlUzu1xliytb24rIV1QbREVF4ezZswZt4OLiAhsbm3TFFZGvTH0WkKvfispVRNy4uDj88ssvCeI2atQIX3/9NaysrNIUV1Q/EDXGsno/EBlXprYV0b9EjTGZ3i8RcUW1KyBf24rI1yyfQxMaGoqpU6fi8ePHqFKlCgoWLAi1Wo3g4GCcP38ehQoVwogRI1CgQIFMj3vz5k1MnToV9vb2qFatmkHMs2fP4vnz5xg1ahQqVKiQ6bnKFle2thWRr6g2iI6OxuLFi3Ho0CGUKVPGIO7NmzfRtGlT9O3bFzlz5sz0NpCpz4pqA1H5ispVVNzjx49j6dKlqFq1qj6ulZUVgoODcebMGZw/fx59+vRB48aNjY4pqh+IGmPsBxxjgLj+JWKMyfR+iYorol0B+dpWVL4AAMUM/fjjj8qdO3eSXH/z5k1l6NChZhF3+vTpSnh4eJLrnz17pkydOjVVMRVFrjYQFVe2thWRr6g26Nevn3LixAlFq9UmWKfVapXDhw8rffr0SXVcEfnK1GcVRa5+KypXUXHXrFmjxMbGJrk+JiZGWb16dapiiuoHosYY+wHHmKKI618ixphM75eouCLaVVHka1tR+SqKopjlGRoiEktRFKhUqnRvQ5TZ3rx5gxw5cmR2GglwjJFIGdm/Xrx4gbx586Y7DpFI0kwKMHjw4HTH0Gg08Pf3xy+//IK4uDhMnDgRbm5uGDlyJF6+fJn+JP/vu+++M1ms95miDSIiIjBlyhT0798fe/bsMVg3ZsyYdMd/X3rzjYyMxIIFC7Bs2TK8evUKvXr1QuXKldGlSxc8evQozXEzqh8AYvqCKWIm9kdu+vTpKW6TkidPnqBv375o06YNlixZAq1Wq1/Xq1ev1CcKcX1W9n4AmO8YExU3MZ06dUrX/qL6l0qlwunTp3Hp0iUAwKpVq9C7d28sXrwYsbGx+m1MIb39QMS4BcT1A1H5yvQZQavVYt26dZg+fTrOnz9vsG7RokUA0v5/+LBhwzB27Fg8fPgQbm5uaNGiBZo2bYpbt26lKVdR75dMfxtu3boFd3d31KxZE6NGjUJkZKR+XevWrdOcq6gxJqptRfUFwEzvoencuXOCgXjt2jVUrFgRALB+/fo0xR0xYgTevHmD2NhYvHz5Es7Ozmjfvj2OHDmC69evY+HChamOmdj1jiEhIcifPz8A4MiRI2nKVVQbeHt7o3Tp0ihTpgyWL1+O8uXLY9KkSQDeDapdu3aZTb69e/dGsWLFEB0djdOnT+Pbb79Fhw4dcPjwYezatQurV69OU64i+gEgpi+I6l8jR45MsOzo0aNo1KgRAGDatGlpiuvl5YWWLVuiTJkyWLx4MbRaLZYuXQq1Wg0PDw/s3r071TFF9VmZ+gEg1xgTFdfJyQkajQbAf98+x/8JU6lUuHnzZqpjiupfM2fORGBgIDQaDQoXLgyVSoU2bdrg6NGj0Gq1mDx5cpriiugHIsYtIK4fiMpXps8Io0aNgk6nQ+nSpbFx40a0b98evXv3BpC+ftulSxd8+eWXePPmDdauXYvx48fjyy+/xIULFzBnzhxs3rw51TFFvV8y/W3w9PTEwIEDUaZMGSxYsABXrlzBhg0bkDNnTrMcY6LaVlRfAGCe99Bs3LhRqVevnrJz507l7NmzypkzZ5SmTZsqZ8+eVc6ePZvmuC1btlQURVE0Go3i6upqsK5Vq1Zpinns2DHlq6++Un799VclODhYefjwodKiRQslODhYCQ4OTnOuotrA3d1d/3N0dLTSuXNnZdq0aQnWmUO+7+dTp04dg3Vpfb8URUw/UBQxfUFU/5o+fbpSq1YtZe3atcrOnTuVnTt3Kg0aNND/nFYeHh76n3U6nTJo0CBl4MCBiqKkvX+J6rMy9QNFkWuMiYp7/fp1xdPTU/n9998TPVZaiOxfWq1WiY6OVmrUqKG/fl6n0ylubm5pjiuiH4gYtx/ua8p+ICpfmT4jvN+Hnj9/rri5uSlr1qxRFMV071ndunUN1qW1DTKif5n734YP85k+fbrSuXNnJTY21izHmKi2FdUXFEVRzPKSs06dOmHVqlXw9/fH48ePUbNmTeTMmRM1atRAjRo10hzXwsICd+/exfXr1xEREYHg4GAAQHh4uP5bv9Rq0KABNmzYgL1792LXrl0oWLAgrK2tUahQoXRNayeqDQAgLCwMAJAtWzb89NNPCAgIwM8//5yuyx9E5KtWq3Hq1Cn89ttviIqKwrVr1wAA9+7dS3OegJh+AIjpC6L61/DhwzF37lzs378fBQsWROvWrWFnZ4fWrVun6/S3paUl7ty5A+DdN+YzZsxAeHg4xo4da3BqObVE9FmZ+gEg1xgTFbd8+fJYs2YNAgICMHLkSERFRZnksi0R/UtRFERERODFixd4+/at/hKTt2/fIi4uLs1xRfQDUeNWVD8Qla9MnxEURcGbN28AAPb29lixYgXWr1+Pffv2pavf5sqVC1u3bsXKlSuh1Wpx7NgxAMDFixfTPBW0qPcLkOdvQ86cOXHixAn9GeXhw4fDwcEB/fv3R3R0dJpzFTXGADFtK7IvmOUZmngxMTHKtGnTlP79+ystWrRId7w//vhDqV+/vlK3bl3l0KFDSvPmzRUfHx+lYcOGyq5du9Idf/369cp3332nNGvWLN2x4pm6DQ4dOqTUqVNHOXz4sH5ZaGio0rp1a6VcuXLpjm/KfK9fv6507NhR8fT0VP766y/l66+/Vtq2bau4uroqJ0+eTHNc0f1AUcT0BRExX7x4ofj4+CjTp0/XfyuVHoGBgUrDhg2VvXv36pdFRUUpffr0UcqWLZummKL6rKz9QIYxJiru+44cOaK0a9dOadq0abriiOpfu3fvVmrUqKFUr15d2bBhg+Lh4aHMmDFD8fDwUFasWJGunBXFtP1AxLhVFHH9QFS+Mn1G2Lp1q/Lll18qAQEB+mVBQUFKgwYNFCcnpzTHDQ4OVoYNG6YMGTJEefDggfLtt98qNWvWVOrXr69cuXIlTTFFvV8y/W0ICgpSvv32W4P9NRqNMnnyZKV8+fJpzlXUGBPVtqL6gqIoilkXNPFOnTqljBw50uRxw8LClN9++00JCgoyWcy///5bWbhwocnixTNlG0RERCgvXrwwWKbVapVDhw6ZJL6iiHnP3r59q1y5ckV59eqVSeOK6AeKIqYviOpffn5+ipeXl8nixcTEJFh248aNNMfLiD4rUz9QFLnGmMix6+fnl+44ovpXdHS0EhkZqSiKoty6dUtZuXKlcurUqXTF/JAp+4Gpx+2HTN0PROdr7p8R7t69qzx69MhgWUREhP7SM1N5/vy5SeKIeL9k/tsQz1TtqyimHWMi21ZEXzDLSQGIiIiIiIiMoc7sBChjfTi944eqV6+eQZnQxyilGUo8PDxSHZN9lkRi/xIzbkWSLV8RHj9+nOz6ggULZlAmKRP1fsk0dhcvXpzsem9v7wzKxDii2lbk2GVBk8X89NNP+Ouvv+Ds7IwPT86pVKo0TwdNBABnzpzB77//jubNmye6Pi3/WbHPkkjsX2LGrUiy5StCr169cO/ePTg6Oibab9M6HbQIot4vmcauVqvF2rVr4eXlBQsLs5yPy4CothU6dtN1wVomCA0N1V+TbO5xr127JuSay/TkGhsbq3h6ehrc6CVaVmnb5IjIV1QbpFevXr2U7du3myzex9JnFUWufisqV1Fxjx49qhw/flw/PbKxMqN/iZKefmDqcZuS9PaDjM7X3MZYRESE4ubmpgQGBpo0p+SkdYwpipj3S7a/DaNGjVKWL19u4oySlp7+JbJtRY1d8y8TP9CjRw8sWrQIv/zyi9nHXbBgAU6dOoV9+/aZLCaQvlytrKwwdepU/dOrM0JWadvkiMhXVBt4eHjA19cXhw8fTtP+EydOxKtXr0yWz8fSZwG5+q2oXEXFPXLkCOLi4lL9zXRm9K/0jrGkpKcfmHrcpiS9/SCj8zW3MZYrVy5Mnjw5fQ8iTKW0jjFAzPsl29+GkSNHwsHBQUBWiUtP/xLZtqLGLicFICIDoaGhcHR0RHR0NLJnz57Z6RB9dDjGiIhMy2zP0Ny8eRNHjx5FRESEwfL4hzyZW9z3rV692iRxMiJXU2LbJmSKfA8fPowNGzbgwYMHBsu3bduWrrjh4eH4+++/odPpDJbHP0wrK3zQkqkfAHKNMVH99kPTp083aTxTyqgxZuoziSKZqn+JItMYyyjmPMYyCseY+TPLSQHWrVsHPz8/fPbZZxgzZgxmz56N2rVrAwAWLlyIhg0bmk3cxGau2Lp1q/4JvmmduUJUG4jCthWT7+zZs3Ht2jWUKFECS5cuxfDhw+Hu7q6P3aFDhzTlun//fkybNg158uRBbGwsFi1ahNKlSwMAfH19sWvXrjTFlYlM/UBUvqJyFdVvR44cmWDZ0aNH9ZcvTJs2LU1xRRA1xhK7xGjhwoX6J5ib0w3xovqXKDKNMVFkGmOicIzJySwLGn9/f/j7+yN79uy4ePEifHx8MH/+fFSrVi3BbAuZHff27ds4d+4cPD09oVabrjlFtYEobFsx+Z44cQK7du2CWq1G586d8f3338Pa2hpfffVVunL9+eefsWfPHtjb22P//v3o3r071qxZg5IlS5pl/xJBpn4gKl9RuYrqt3ny5MHu3bvRu3dv5M6dG8C7WXNq1KhhqtRNRtQY27p1K+7du2fw4ToqKgpnz54FYF4ftkT1L1FkGmOiyDTGROEYk5TJpxkwgZYtWxq8Pnv2rOLq6qr8/fffioeHh9nF3b59u9KpUyf9bBLu7u5pjhVPVK7JSc/sHWzbd0yd79dff61oNBr969u3byuurq7KmTNn0pWrm5ubwev9+/crDRs2VJ4+fSqsf4mY3coc+6yiyNVvReQqqt8qiqIEBAQo7du3V86cOaMoimnyTUp6+peoMabRaJT58+cr/fr10z9hXGQbpHfciuhfyUlPvjKNMZEycoyZ48yPGT3G0jN7nKJkfP8y11lAzbKgGTdunDJw4ECDX+z3339XXFxclJo1a5pdXEVRlHv37infffedsmHDBpN0JpG5JsXd3V2ZNm2asm/fvlTvy7b9jynzXbRokfLtt98qly9f1i8LDAxUatWqpVSpUiXNcQcMGKDMmDFDefLkiX7Z+vXrlcaNGyt16tRJV85J6dGjh7J27Vpl7969Jotprn1WUeTqt6bOVVS/jffixQvFx8dHmT59eoIPoaaUnv4leowFBgYq7du3V44ePSrsSwhFMc24NXX/Sk568pVpjCXH3d1dGT16tHLo0KE0x8ioMSbi74KipG/sxsuoMRb/Xv32229pjpHR/Su9bZuY9PYFsyxotFqt4ufnZ/DHUFEU5fLly0qfPn3MLm48jUajzJ07V2nevHm6Y4nO1dTYtoZMmW9AQECCby0eP36sTJ48Oc0xo6KilHnz5ikBAQEGyw8dOqS0atUqzXFlIls/kGmMKYqYfvshPz8/xcvLy2TxTCkjxlhERIQybNgwpW7duiaJJ5Kp+5cIso2xpISEhCiKoihv3rxJdyxzHmMZgWNMHpy2OQu6efMmnjx5gurVq8PW1la//NixY2Y32QDJb/Xq1fj+++/TFYN9lkSSvX9FRUUhZ86cJo1pinEr0uHDh/HkyRPUr18fn3/+uX75tm3b0jzphGzCw8MRFhaGUqVKGTx9/vr166hQoUImZpYyU/WvjBq7IsbY9OnTMWLECJPGFOmXX35By5YtTR7XVH2BBU0W8/4sLlevXjWYxaV169ZZYnYrEiepGVc8PT0BpG3GFfZZEon9S8y4Fen9WfR+++03g1n0ssp7ltwseubWBqL6l0xjN6nZ4xo1agTA/GaPS2qmNx8fHwBpnxhB5P81WXxKhKxHttnTSC4iZlxhnyWR2L/kmylJ1Cx6MpFppkqZZn4URbbZ40TN9Cb0/5rMutaNMkdmzJ5GWYupZ1xhnyWR2L/ekWkmLpGz6MkiM2aqTA+ZZn4UJSNnj0svkTO9ifq/xvy/ivlAz549UaBAAbRq1QrVqlUz67jmmGvVqlUxaNAgeHt7o0SJEqhRowbGjh0LLy8vaLVak+VoqnwzMqZscT08PFCxYkU0aNAATZo0MUlM4N1D/6ytreHp6am/hCE12rVrh+rVq8PX1xfNmjVLdz4fS5+VLa6oXEX127TGzYz+ld4xJiKuqcdtStLTv5o3b47OnTtjxIgRcHZ2RqlSpbBgwQJ4e3sjNjbW7PIVEbN48eKYOXMmunTpggIFCuCrr77Cs2fP0KlTJ8TExJgkvw+lZ+yK6F+yjd3atWujXLlyGDduHI4fPy4sx3jp6V+WlpYYMGAALly4gD59+qB3795QqVQmyUvY/zUmKYsy0NWrVxVFUQymwjTXuOaYa2bMnpZV2jaj45pyJpv3HTlyRImNjVVu3ryZrjimmnHlY+mzssUVlauofpvWuJnRv0w1xkTEzaiZktLbvzJiFr33mdsYy4yZKk0xdmWa+TExphq7GTF7nKn6rKiZ3kz9fw0nBTBjiqIgKioKuXLlMlgeFhYGBweHTMrKOK9fv8bDhw9RvHhxZM+ePbPTSUBU22bEe3bu3DmTXner0Wjwzz//QK1Wo0SJEiaLKxtRfVZU3MjISNy9exfFihVL0N9SI6P+nzF1vxUd15REjTHZxq65/134kKnGmOiYoskwxkSRbYyJ7F8iZnozKZOURWRyp0+fVlxdXZXq1asrXbp0UZ4+fapfZ47Xht68eVPp0KGD0qtXL+XUqVNK7dq1lbZt2yoNGjRQLl68mNnpGRDVtiLinjt3LsG/L7/8Uv9zWnXv3l1RFEX5+++/lSZNmiju7u6Km5ub0rJlS+X27dtpjisTUX1WVNxTp04p9erVU4KCgpQzZ84orq6uSrt27RRXV1fl+PHjaYopaiyI6rei4oogaozJNHZl+rugKGLGmIiYIsk0xkSRaYzJ1r9EMsuCpmvXrkrnzp2T/GdOcUXl2rp1a+Xff/9VtFqtsmzZMqVJkyb6073meCNZhw4dlJMnTyqbNm1SnJ2d9adj79y5o7Rv3z5NMWVrWxFxmzRpotSoUUPp3Lmz8t133ynfffedUqlSJeW7775LVxvEf1jt2rWrwX96Z8+eVdq1a5fmuDIR0WdFxm3ZsqVy584d/TFu3bqlKIqiPHjwIM1P8hY1FkT1W1FxRRA1xmQau6LGgigixpiImCLJNMZEkWmMyda/RDLLSQF69OiBwYMHY8qUKfrp7cw1rqhcdTodihUrBuDdjV3W1tbo3r07tmzZYrIbs0wpOjoadevWBQBs2LABZcuWBQCULFkSb9++TVNM2dpWRNxdu3Zh0qRJsLW1xY8//ghra2t4eHhgw4YNac7zfREREahfv77+dY0aNdL8fslGRJ8VGVetVqNkyZIAgLi4OJQpUwYA8Nlnn6V5ilJRY0FUvxU9HkQQNcZkGLuixoIoIsaYiJgiyTjGRJFhjMnWv0SySHmTjOfq6opevXrhxIkTqFGjRoJ/5hRXVK6ffPIJNm3ahIiICABAt27dULduXXh5eeHVq1dpjpucnj17YuzYsQgMDEz1vvb29vDz8wMA/PbbbwCAN2/eYO3atfjkk0/SlI9sbSsibq5cuTBjxgxUqVIFXbp0wY0bN0xS0N6/fx/jxo2DtbW1/n179eoVVq1aJez+rPT0LxExRfRZkXGrVq2KoUOH4vbt22jdujXmzJmDW7duYe7cuWl+KriosSCq34qKm5T09C9RYyyjx645jrHkeHh4wNfXF4cPH071viLGmIiYKfH19cXEiRNx+/btVO8r0xgTFTejx5i59dmUpKd/JSfdfSFzTxAlTafT6U+jmXtcETFDQ0OVoUOHKocOHTJYvmbNGqV69eomPVa89MyIERISoowYMcJg2fHjx5UBAwYooaGhac5JprYV/Z49evRI8fLyUho0aJDuWI8fP1Z+//13Zfbs2cqiRYsURVGUDRs2KP379ze4j8KUzG2WIFF9VlTc2NhY5aefflJatmypODs7KxUqVFAaNGigTJgwQYmIiEhTzIz4f8aU/TYj4r4vPf1L1BjL6LFrjmMspWMqStpm4hIxxkTETImpZuIy9zEmKm5GjzFz67MpETVLY3r7glnOchYTEwMbG5t0b5MRcWXKVSS2bca0gaIo+Pfffw1mWzGXXEVSBMzEJVM/EBU3o3IV1W9NFfd9ppqJS6Z+AMg1xhJjipm4ZBpj7zPlTFwyjbEPmWqGr4zqt+baZz8kcqY3k87KZoqqytS8vb2Vbdu2JVpdRkREKBs3blT69u1rFnFlylUkti3bQBRRM3HJ1rbsX2LiipqJS6Y2kG2MiZqJS6YxJmomLpnGmKgZvkS0gUx9VlHE9S+Rs7KZ5RkanU6HLVu2YMOGDcidOzcKFCgAS0tLPHr0CC9fvkSXLl3g6ekJtTp1cxqIiCtTrsC7a+R1Ol2S69evX5+qeCLzla1t2QZi+lebNm0wZ84cFClSBCtXrsT27duxadMmODo6wsPDA7t37051TEC+tmX/EhPX09MT/fr1w8OHDzFjxgxs27YNZcuWRVBQEEaPHo1t27alKkeRuYqKK9sYa9q0KV6/fo0yZcrob3y+du0aKlasCJVKlSX+jrVu3Rq7du1Ct27d4OXlpb95/dy5c5g1axa2b9+eqngi8xU1xtzc3DBv3jyULFkSnp6emDBhAsqUKYOHDx+ib9++2LdvX5riimgDmfosIK5/iXrPAMAsC5r33bp1C/fu3YOFhQU+//xz/Swp5hhXhlz//PPPZGcOM8XDs7Jq24qOK0OuIvrXhx+o1q5dix07dmDLli3o3Lkzdu3aleZ848nQtqLjypSrKeO6u7tjz549AICvvvpKf/P6h+vMIVdRcWUbY5GRkYnOxJXWwkt0viJixn/gbNu2LXbs2GGwzs3NLV0fDOOZ+xiLbwMACdqhZcuW+OWXX9IU932magPZ+qyo/iXyPTP7goZMb/Xq1bh79y4mTZqU2anQR8jU/euHH35Aw4YN0apVK9ja2gIAZs6cifPnz+P58+c4evSoSY5DWZOXlxe++uortG/fXr/szZs38PPzwx9//IFVq1ZlYnYZQ9Yxtn//fqxfvx5jx47F6NGjTVJ4yaJKlSpwc3PTz27Vvn17vHr1Cv7+/vjzzz+xevXqzE5RT9QYmzx5Ml6+fImePXvi3LlzCAkJwddff439+/cjJCQEM2bMMNWvYDKy9FlR/Uvke8aCJgtSFAX//POPfu5yIlMydf8KCwvDzJkz0axZMzRp0kS/fO3atViyZAnOnTtnkuNQ1hQaGop58+Zh2rRp+mUnTpzArl27MHr0aGHTmJsTmcfY48eP4evri7t37+LYsWOZnU6GefLkCa5evYqrV6/CxsYG3t7e2LhxI86dO4fRo0cjf/78mZ2inqgxFhcXhxUrVuC3337DgwcPoNVq4eDggIYNG2Lw4MHpv8lcEBn6rKj+JfI9Y0GTxcg2uxXJRdZZgijrYv+Srw0yYiYucyfTeybbjH8iyNZnZXzPzPLBmiTO0KFD4efnh8jIyATrIiMjsWnTJgwePDgTMqOPgYj+xT5LIrF/ydcGH+arUqn0HwzNMV8RZHrPROUqcxuYe5+V8T3jGZosRtSMGESAXLMEEQHsX4B8bSBbviLI1AYyzfgniky5AnK+ZyxosjBRM+8QAeY/SxDRh9i/5GsD2fIVQaY2MPcZ/zKCTLkC8rxnLGiIiIiIiEhavIeGiIiIiIikxYKGiIiIiIikxYKGiIiIiIikxYKGiCiNgoODUaZMGWzfvt1g+apVqzBixAij44SHh6NMmTImyWn58uVwd3eHu7s7KleujEaNGulfP3jwIFWxRowYkeqneL9+/RodOnQwWdsAaWuflNqhUaNGuHr1aqpipkflypURHByc4nY+Pj7YuHGjPldXV1fUqlVL/3r//v2pOu7OnTvRq1evtKZNRCQF85gfjohIUhYWFpgxYwaqVauGYsWKZXY66NmzJ3r27AkA6Ny5Mzp16oTmzZtn2PGPHz+O+vXrA8jctsnsdkiL2NhY3L9/HwsXLsR3330HAFi0aBFevHiBsWPHZnJ2RETmiwUNEVE6ZMuWDV5eXhgyZAi2bt0Ka2tr/bqIiAhMmDABt27dgkqlQt26dTF48GCo1WocPHgQ8+bNQ/bs2VGxYkWDmNu3b8eWLVug0+mQJ08ejBkzBiVKlEBgYCCmT58OnU4HAOjVqxeaNWtmVJ46nQ5Tp07F5cuXERUVBUVRMHnyZFStWtWouNOmTcOtW7ewZMkS3Lx5M8ntDx8+jH79+qXYNiLaJ7W2bduGcePGITw8HO7u7hg0aBDOnj2LKVOmIEeOHHjz5g38/f1x6tQpLF26FHFxcciWLRuGDx+OypUr49mzZxg7diyeP3+OsLAwFCpUCPPnz0e+fPkQGBiISZMmQaVSwcnJSd9WUVFRGDlyJO7fvw8LCwtUqFABEydOhIWFBQICAlC7du1kc/b398e2bdsQFxeHV69eoUePHujYsSPCwsIwfPhwvHjxAgBQv359DBw40GDfAwcOYPbs2Vi+fDmKFy+e6vYiIjJXvOSMiCid+vTpg+zZs2PevHkGyydPnow8efJg37592LFjB/7++2+sXr0az549w6hRo7Bo0SLs3LkThQoV0u9z7tw57N69G5s2bcLu3bvxww8/oH///gDefVvv5eWFnTt3YurUqThz5ozROV6+fBmhoaHYtm0b9u/fj9atW2PFihUpxlUUBRMmTMCjR4+wYsUK5MyZM8nt488wvH95WFJtI6J9UsvGxgY7d+7E9u3bsXr1ajx58gQAcOfOHcyZMwd79+7F48ePMW/ePCxfvhy7d+/GpEmT0L9/f7x58wa//vorKlWqhG3btuHIkSPIli0b9uzZg9jYWAwYMAAjRozA7t27UbNmTbx9+xYAcOjQIURFRWHPnj3w9/cHADx8+BAAcOTIETRp0iTJfKOiorB9+3Z9LvPmzcOsWbMAAH5+fihcuDB27dqFTZs24f79+4iIiNDvu2/fPixevBgbNmxgMUNEHx2eoSEiSicLCwvMmjULrVu3Rp06dfTLT548iS1btkClUsHa2hqenp5Yt24dihQpgtKlS6NkyZIAgA4dOmDu3LkA3l2ydf/+fXh6eurjvHr1Ci9fvsRXX32FiRMn4ujRo3BxccHgwYONzrFy5cqws7PD1q1b8fDhQ5w9exY5c+YEgGTjrl27Fs+fP8fu3bv1Z1iS2v706dOoVauWUW0jon3y5MljdHsAQMuWLQEADg4O+OSTT/D8+XMAwKeffqovov7880+EhoaiW7du+v1UKhUePHiArl27IjAwEGvWrMG9e/dw584dfPHFF7h9+zbUarX+bEvLli31l4xVrVoV8+bNQ+fOneHi4oKuXbuiSJEi0Ol0+OuvvzB+/Pgk882ZMyd+/vlnnDhxAvfu3cOtW7fw5s0bAEDdunXRs2dPPHnyBC4uLhgyZAhsbW0BAFevXsUff/yBUaNG4dNPP01VGxERyYBnaIiITKBgwYIYP368wWU/8ZcZxdPpdNBoNFCpVHj/mcZqtdpgG3d3d+zZswd79uzBrl27sGPHDtjZ2cHT0xN79+6Fq6srTp06hVatWhl8C5+c48eP628Ob9y4Mb799lv9uuTiVq9eHaNGjcLIkSMRFxeX7PZJnWFIrG1EtE9qvR/3/WPmyJHD4Hi1a9fWH2/Pnj3w8/NDqVKlMGvWLCxYsAB58+ZFhw4d4OrqCkVREuT//rE+++wzHDp0CD179kRkZCS8vLxw4MABXL58GRUrVoSlpWWS+T59+hQeHh549OgRqlatanBJmbOzM44cOYIOHTrg0aNH+Oabb3Dx4kUAgK2tLVatWoVFixYZNTEBEZFsWNAQEZnIV199hXr16mHdunUAgDp16mDTpk1QFAWxsbHw8/ODi4sLqlWrhqCgINy6dQvAu5mo4rm6uuLXX39FaGgoAGDLli3o2rUrgHeFxM2bN9GmTRtMmjQJr1+/xqtXr4zK7c8//0TDhg3RsWNHODk54fDhw9BqtSnGrVixIr777jvY2tpi8eLFSW7/8uVLXLp0CVWqVDGqbUS0jwi1atXCn3/+iX/++QcAcOLECbRq1QoxMTE4deoUunbtCg8PD+TLlw8BAQHQarUoXbo0FEXBiRMnALy7lCy+PTdv3oyRI0eiTp06GDZsGOrUqYM7d+7g8OHDaNy4cbK5XLt2Dfb29ujbty/q1q2LY8eOAQC0Wi1mz56NJUuWoEmTJhg9ejRKliyJe/fuAQCKFi2K2rVro3Pnzhg+fHiCQpKISHYsaIiITMjX1xcFCxbU/xweHg43Nze4ubmhWLFi6N27N+zt7TF79mwMHToUrVu3NvjWvG7duujRowe+//57uLm54ZdffsHixYuhUqkwdOhQLFy4EB4eHujSpQu8vb1RuHBhXL16Fe7u7snm5enpifPnz8PNzQ0dOnTAZ599huDgYOh0uiTjxlOpVJg6dSo2b96MixcvJrr98+fPUzzD8H7biGgfY9ohtUqVKoWJEydi8ODBaNWqFRYsWIClS5ciR44c6NevH2bOnIk2bdrA29sbVapUwYMHD2BlZYWffvoJCxYsgLu7Ow4dOoR8+fIBADw8PKDVatGiRQu0adMGkZGR6NKlCwICAhJckvchV1dX5M+fH82bN4eHhweePHkCe3t73L9/H127dsWtW7fQsmVLtG3bFoULF9ZfUhevd+/eiI6OxsqVK03aRkREmU2lfHhenIiIpNOzZ08sX748s9PIdGwHIqKsh2doiIgkFxISgo4dO2Z2GpmO7UBElDXxDA0REREREUmLZ2iIiIiIiEhaLGiIiIiIiEhaLGiIiIiIiEhaLGiIiIiIiEhaLGiIiIiIiEha/wP3XH8YCx57EQAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<Figure size 1008x432 with 1 Axes>"
       ]
@@ -6677,7 +6703,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 107,
+   "execution_count": 115,
    "metadata": {},
    "outputs": [
     {
@@ -6756,7 +6782,7 @@
        "      <td>8.0</td>\n",
        "      <td>185.023333</td>\n",
        "      <td>10.0</td>\n",
-       "      <td>True</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0.220000</td>\n",
        "      <td>42.040000</td>\n",
        "      <td>42.838333</td>\n",
@@ -6780,7 +6806,7 @@
        "      <td>8.0</td>\n",
        "      <td>73.601667</td>\n",
        "      <td>10.0</td>\n",
-       "      <td>True</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0.168333</td>\n",
        "      <td>19.628333</td>\n",
        "      <td>20.313333</td>\n",
@@ -6804,7 +6830,7 @@
        "      <td>8.0</td>\n",
        "      <td>43.990000</td>\n",
        "      <td>10.0</td>\n",
-       "      <td>True</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0.138333</td>\n",
        "      <td>12.810000</td>\n",
        "      <td>13.305000</td>\n",
@@ -6828,7 +6854,7 @@
        "      <td>8.0</td>\n",
        "      <td>31.225000</td>\n",
        "      <td>10.0</td>\n",
-       "      <td>True</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0.116667</td>\n",
        "      <td>9.325000</td>\n",
        "      <td>9.740000</td>\n",
@@ -6852,7 +6878,7 @@
        "      <td>8.0</td>\n",
        "      <td>24.896667</td>\n",
        "      <td>10.0</td>\n",
-       "      <td>True</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0.140000</td>\n",
        "      <td>7.468333</td>\n",
        "      <td>7.790000</td>\n",
@@ -6876,7 +6902,7 @@
        "      <td>8.0</td>\n",
        "      <td>20.215000</td>\n",
        "      <td>10.0</td>\n",
-       "      <td>True</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0.106667</td>\n",
        "      <td>6.165000</td>\n",
        "      <td>6.406667</td>\n",
@@ -6910,12 +6936,12 @@
        "\n",
        "       Plastic  Avg. Neuron Build Time / s  Min. Edge Build Time / s  \\\n",
        "Nodes                                                                  \n",
-       "1         True                    0.220000                 42.040000   \n",
-       "2         True                    0.168333                 19.628333   \n",
-       "3         True                    0.138333                 12.810000   \n",
-       "4         True                    0.116667                  9.325000   \n",
-       "5         True                    0.140000                  7.468333   \n",
-       "6         True                    0.106667                  6.165000   \n",
+       "1          1.0                    0.220000                 42.040000   \n",
+       "2          1.0                    0.168333                 19.628333   \n",
+       "3          1.0                    0.138333                 12.810000   \n",
+       "4          1.0                    0.116667                  9.325000   \n",
+       "5          1.0                    0.140000                  7.468333   \n",
+       "6          1.0                    0.106667                  6.165000   \n",
        "\n",
        "       Max. Edge Build Time / s  Min. Init. Time / s  ...  Presim. Time / s  \\\n",
        "Nodes                                                 ...                     \n",
@@ -6956,7 +6982,7 @@
        "[6 rows x 21 columns]"
       ]
      },
-     "execution_count": 107,
+     "execution_count": 115,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6988,7 +7014,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 108,
+   "execution_count": 116,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -7001,7 +7027,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 109,
+   "execution_count": 117,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -7078,7 +7104,7 @@
        " 0.518282  2.952492       NaN"
       ]
      },
-     "execution_count": 109,
+     "execution_count": 117,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7094,7 +7120,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 110,
+   "execution_count": 118,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -7103,7 +7129,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7137,7 +7163,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 111,
+   "execution_count": 119,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -7147,7 +7173,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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8U6cubNq04bpvP77VKTkWERERcUEnT/6Ej48PPj4Fb3oLDn6MWrVqAbBx43qaNbvHvu16zGYz4eFzePnlVzGZCs+0rVXrNmrW9OLkyZ/L7wSqKCXHIiIiIi4oISEBP7+6RcojIzewbdtWwsJmFbv/6tUrCA5+jLvuanzd7fXr1+fcubNOidWV6IE8ERERERdkNBpwc3MrVLZs2dvExe1n6dIV+PsXTZx/64svPqdGDXc+/ng7ly+nAFCzZk0GDSp4u7HJZMJorH7jqEqORURERFxQQEADLl68YP8eGbmBb789wvLlq/D19S1x/w0b/vPA3apV7wHYE2OA8+d/ISCgoRMjdg1KjkVERETKIDvHzI43Q8ul3eI0bXo3qalXycjIwNvbm9Wr/xdvb2/GjBlurxMR8TbJyZdYufJvRES84/Cx09PTycjIoGnTZjcdv6tSciwiIiJSBulpWSWuR1weDAYD/foNZPfuj+nTpz+xsf+4br06de7Az8+/2Laee254oe+7dsXQv/9Ap8XqSqrfRBIRERGRW0SvXn355puvyc7OvmGdpKREunTp5nCbmZmZHD58iJ49+zgjRJejkWMRERERF2UymQgPX1Rsnbp161G3bj2H2/Ty8mLhwsWYTEbMZktZQ3Q5GjkWEREREbFRciwiIiIiYqPkWERERETERsmxiIiIiIiNHsgTERERKYPbb3PH5O7h9HbNuTlcSc0ttk5+fj7Tp0/htdfmkJGRwfz5s7h8OQWj0cCoUeN46KHWxe6/YcM6du7cAUCPHqEMGPA0mZmZzJ07g9dfXwgYnHU6LkPJsYiIiEgZmNw9ODXP+cueNZ62GSg+OY6OjiIwsA2enp4sXDiPdu3a06dPf86ePcPo0cPZunVnkVdM/+rcuQS2bo3i/fcjsVisPP10P9q3D6ZBg4a0ahXI1q2b6dmzr9PPq6rTtAoRERERF2S1WomK2kSnTl0BCA7uSOfOBesZBwQ0JDc3h6ysrBvub7FYyMvLIycnl7y8XKxWKyZTwbhpp05d2LRpA1artfxPpIrRyLGIiIiICzp58id8fHzw8fEBIDj4Mfu2jRvX06zZPfZt1/P73zeiU6eu9O0bgtVqJSQklHr16gNQq9Zt1KzpxcmTP9Os2d3leyJVjEaORURERFxQQkICfn51i5RHRm5g27athIXNKnb/gwfjOHHiONHRu4iO3snx4//H559/at9ev359zp076/S4qzolxyIiIiIuyGg0FJlPvGzZ22zfHs3SpStKfCve/v1f8eijj+Hl5YW3tw+dOnXln//81r7dZDJhNFa/VNGhM16yZAndu3ene/fuLFy4EIBXX32VLl26EBoaSmhoKJ9+WnCnERcXR0hICF26dGHx4sXlF7mIiIhINRYQ0ICLFy/Yv0dGbuDbb4+wfPkq/P2Ljij/t6ZNm7F//z7y8/Mxm818/XUcLVrca99+/vwvBAQ0LJfYq7IS5xzHxcWxb98+tm7disFg4Pnnn+fTTz/l+++/5/3338ff399eNzs7m6lTp7J+/Xrq16/P8OHD2bt3L8HBweV6EiIiIiLVTdOmd5OaepWMjAy8vb1Zvfp/8fb2ZsyY4fY6ERFvk5x8iZUr/0ZExDuF9g8J6cnZs2cYMuQp3NzcCApqT7duPQBIT08nIyODpk2bVeg5VQUlJsd+fn5MmTIFd3d3AJo0acL58+c5f/4806dP5/z583Tu3JnRo0dz7NgxGjVqRMOGBXcZISEhxMbGKjkWERGRW5Y5N8e27Jrz2y2OwWCgX7+B7N79MX369Cc29h/XrVenzh34+fkXKTcajYwZM4ExYyYU2bZrVwz9+w+8ucBdXInJcbNm/7ljOHPmDDt37mTDhg0cOnSI2bNn4+XlxfDhw4mKisLLyws/Pz97fX9/fxITE8snchEREZEqoOBFHcWvR1xeevXqS1jYK3TvHoqnp+d16yQlJdKlSzeH28zMzOTw4UMsXPims8J0KQ4v5fbzzz8zfPhwJk+eTOPGjVm6dKl925AhQ4iOjubxxx8vsp/BULo3q9Spc+MlRyqLn59vlWxLKpb6zrWp/1yb+s91laXvkpKMmEzV74Gw0jCZ3ImIeKvYOgEBdxIQcKfDbdaq5cOiRW+XMbKqw2g0lurn0KHk+MiRI4wdO5apU6fSvXt3Tpw4wZkzZ+jatWDR6V8Xja5bty7Jycn2/ZKSkgrNSXZESkoGFkvFLDjt6IW6dCndacdzVltSsdR3rk3959rUf66rrH1nsVgwmy1OjEhKw2Qy3hLX32KxFPk5NBoNNxyQLfF27MKFC4waNYqIiAi6d+8OFCTD8+fPJzU1lby8PDZt2kTnzp25//77OX36NPHx8eTn5xMTE0OHDh2ccFoiIiIiIuWvxJHjVatWkZOTQ3h4uL1swIABvPjiiwwcOBCz2UyXLl3o0aPg6cbw8HDGjBlDTk4OwcHB151qISIiIiJSFZWYHIeFhREWFnbdbYMHDy5SFhQUxPbt28semYiIiIhIBXP4gTwRERERKcq3tgeeNdyd3m52Xi7pV4tfzk2cT8mxiIiISBl41nDnqU0jnd5uZP/lpFN8cpyfn8/06VN47bU5ZGRkMH/+LC5fTsFoNDBq1Dgeeqh1ice5dCmJ558fwrZtu+1lq1ev4B//+AyrFdq2bcdf//oSmZmZzJ07gzlzwou8tvpWovVRRERERFxUdHQUgYFt8PT0ZNmyt2nXrj1r1mxg5sx5zJoVRn5+frH7HziwjzFjRpCSkmIv++abr/nmm4OsW7eRNWs2cOLEj+zd+w+8vLxo1SqQbdu2lPdpVSolxyIiIiIuyGq1EhW1iU6dCpbWDQ7uSOfOBS/7CAhoSG5uDllZWcW2EROzjfnzFxYqq1PnDkaNGk+NGjUwmUw0avQHEhMvAtCpUxciIzditVbMsruVQdMqRERERFzQyZM/4ePjg49PwXq9wcGP2bdt3LieZs3usW+7kXnz3ihS1rhxE/vnhISz7NnzKcuXrwagVq3b8PKqycmTP9Os2d3OOI0qRyPHIiIiIi4oISEBP7+6RcojIzewbdtWwsJmlan9U6f+zfjxoxg1ahwNG/7eXl63bn3OnTtbprarMo0ci4iIiLggo9FQ5MG4ZcveJi5uP0uXrsDfv2ji7Khjx/5JWNhkxo6dYJ+28SuTyYTReOuOryo5FhEREXFBAQENuHjxgv17ZOQGvv32CMuXr8LX1/em201MvMjUqS8zd244LVu2KrL9woXzBAQ0vOn2qzolxyIiIiJlkJ2XS2T/5eXSbnGaNr2b1NSrZGRk4O3tzerV/4u3tzdjxgy314mIeJvk5EusXPk3IiLecei4Gze+T05OLm+/vYhfn7vr2bM3PXv2JT09nYyMDJo2bXbT51XVKTkWERERKYP0qzklrkdcHgwGA/36DWT37o/p06c/sbH/uG69OnXuwM/Pv9i29u07bP88btzLjBv3MiaTEbPZUqjerl0x9Os3oOzBV2G37oQRERERkVtcr159+eabr8nOzr5hnaSkRLp06VbmY2VmZnL48CFCQ3uXua2qTCPHIiIiIi7KZDIRHr6o2Dp169ajbt16ZT6Wl5cXCxcuLnM7VZ1GjkVEREREbJQci4iIiIjYKDkWEREREbFRciwiIiIiYqPkWERERKQMbvd1x8/P1+n/3e7rXuKx8/PzmTp1UqHVKjIzr/HUU6F8++3hYvYsbOnSt5k3byYAFouFV199mczMzFJfi1uBVqsQERERKQOTpwf7Q/s4vd122zZDevEvAomOjiIwsA2enp72skWLFpKenu7wcQ4fPsSuXTsICmoPgNFo5Mkne7Jq1QpGjhx7c8G7MI0ci4iIiLggq9VKVNQmOnXqai/7/PNP8PLyokmTpg61kZaWyooVyxgy5JlC5YGBQezdu4dr1zKcGrMrUHIsIiIi4oJOnvwJHx8ffHx8ALh48SKRkRsZNeolh9tYuHA+L774V3x9axUqd3Nzo0mTZqWamnGrUHIsIiIi4oISEhLw86sLFMwTDg+fzfjxr+Dh4VnCngV27Iimbt26tGoVeN3t9evXJyEhwWnxugrNORYRERFxQUajATc3NwDi489w9mw84eFzAPjllwQWLJjL5MlhPPhgq+vu//nnn5CSksywYYNIS0slKyuLd955k7FjJwLg5mbCaDRUzMlUIUqORURERFxQQEADLl68AMBddzVmy5aP7dtGj36RZ5998YaJMcBbby2zf965cwfffXfEnhgDXLhwnv/5n/vLIfKqTdMqRERERFxQ06Z3k5p6lYyM4h+aS06+xLBhg0rVdn5+PidO/EirVg+XJUSXpJFjERERkTIwZ+cULLtWDu0Wx2Aw0K/fQHbv/pg+ffoX2rZkyQr75zvu8OOee5oX29YTT4TwxBMh9u9xcV/x6KMdCy0RV104lBwvWbKEXbt2ARAcHMwrr7xCXFwcr7/+Ojk5OXTr1o3x48cDcPz4ccLCwsjIyKBVq1bMmjULk0k5uIiIiNyarqTnlrgecXnp1asvYWGv0L176A0T2aysLNq2fcThNi0WCzEx25g9e56zwnQpJU6riIuLY9++fWzdupXo6Gh++OEHYmJimDp1KsuWLWPnzp18//337N27F4BJkyYxffp0du/ejdVqJTIystxPQkRERKQ6MplMhIcvKnaEt2bNmgQHd3S4TaPRyIIFi/H29nFGiC6nxOTYz8+PKVOm4O7uTo0aNWjSpAlnzpyhUaNGNGzYEJPJREhICLGxsfzyyy9kZ2fTsmVLAHr37k1sbGx5n4OIiIiIiFOUON+hWbNm9s9nzpxh586dDBkyBD8/P3u5v78/iYmJJCUlFSr38/MjMTGxVAHVqVP17lL8/HyrZFtSsdR3rk3959rUf66rLH2XlGTEZNLaAZXpVrj+RqOxVD+HDk8G/vnnnxk+fDiTJ0/GZDJx+vTpQtsNBgNWq7XIfgZD6dbHS0nJwGIp2k55cPRCXbrk+PvJSzqes9qSiqW+c23qP9em/nNdZe07i8WC2WxxYkRSGiaT8Za4/haLpcjPodFouOGArEO3A0eOHGHYsGFMnDiRXr16UbduXZKTk+3bk5KS8Pf3L1J+6dIl/P39b+Y8REREREQqXIkjxxcuXGDUqFEsXryYoKAgAO6//35Onz5NfHw8DRo0ICYmhj59+hAQEICHhwdHjhzhoYceIjo6mg4dOpT7SYiIiIhUlttq1cTdw/krc+XmmElNy3J6u1K8Enty1apV5OTkEB4ebi8bMGAA4eHhjBkzhpycHIKDg3n88ccBiIiIICwsjGvXrnHvvfcydOjQ8oteREREpJK5e5iYPTHG6e2+9maPEuvk5+czffoUXnttjn3FiszMawwbNogpU6YX+4Y8gN27d7J+/RoA2rRpy+jR47BYLEyb9gqzZs3F3V3rHBcRFhZGWFjYdbdt3769SFnz5s2Jiooqe2QiIiIiUqzo6CgCA9sUWspt0aKFpKeXPNc7Ozubt96KYOPGLfj4+DBy5HN8883XtG79ME8+2ZNVq1YwcuTY8gy/SnL9RxBFREREqiGr1UpU1CY6depqL/v880/w8vKiSZOmJe5vseRjtVrIzs4iP99Mfr4ZDw8PAAIDg9i7dw/XrhX/aupbkZJjERERERd08uRP+Pj44ONTsOrCxYsXiYzcyKhRLzm0v5eXN88/P4JBg/rSs+cT1Kt3J//zP/cD4ObmRpMmzfj228PlFn9VpeRYRERExAUlJCTg51cXKFiuLDx8NuPHv4KHh2PzhE+e/JmPP97O5s072LYtFqPRyMaN6+3b69evT0JCQrnEXpUpORYRERFxQUajATc3NwDi489w9mw84eFzGDZsECdOHGfBgrnFjvweOnSAhx4K5Pbbf4e7uztPPBHCd98dsW93czNhNJbufRW3AuevOyIiIiIi5S4goAEXL14A4K67GrNly8f2baNHv8izz75Y7GoVTZvezbJl75CVlYWnpyf7939J8+b32rdfuHDePs2iOlFyLCIiIlIGuTlmh5Zdu5l2i9O06d2kpl4lIyPDPu/4epKTL/Hyyy+xZs2GQuWBgW346acfee65pzGZTLRo8UeefnoYULBE3IkTPzJ16syynobLUXIsIiIiUgaV9aIOg8FAv34D2b37Y/r06V9o25IlK+yf77jDj3vuaX7dNp5+epg9If6tuLivePTRjoWWiKsuNOdYRERExEX16tWXb775muzs7BvWycrKom3bRxxu02KxEBOzjWeffcEZIbocjRyLiIiIuCiTyUR4+KJi69SsWZPg4I4Ot2k0GlmwYDEmkxGz2VLWEF2ORo5FRERERGyUHIuIiIiI2Cg5FhERERGxUXIsIiIiImKj5FhERESkDG6r5Y6fn6/T/7utlnuJx87Pz2fq1EmFVqvIzLzGU0+FFvt2vN+6di2DIUOe4sKF8/aybdu2MGhQP4YO7c/8+bPIy8vDYrHw6qsvk5mZWfqL5EK0WoWIiIhIGbh7eLDk1Wec3u7o1/8O5BZbJzo6isDANoXWI160aCHp6ekOHeOHH75n4cK5JCSctZedPRvPxo3rWbv2A9zdazJv3ky2bImkf//BPPlkT9as+V/++teXbuqcXIFGjkVERERckNVqJSpqE506dbWXff75J3h5edGkSVOH2tixYysTJkzmjjv87GXu7u5MnDgFb28fDAYDjRs3JTHxIgCBgUHs3fsPrl3LcO7JVCFKjkVERERc0MmTP+Hj42N/dfTFixeJjNzIqFGOj+pOmTKd++9/oFBZvXr1ad36YQCuXLnCli2RtG8fDICbmxtNmjRzeMqGK1JyLCIiIuKCEhIS8POrCxS81S48fDbjx7+Ch4dzXvmclJTEuHEj6dEjlAcfbGUvr1evHgkJCU45RlWk5FhERETEBRmNBtzc3ACIjz/D2bPxhIfPYdiwQZw4cZwFC+be9AhvfPwZXnzxGR5/vAfDhj1faJvJZMJoNJQ5/qpKD+SJiIiIuKCAgAZcvHgBgLvuasyWLR/bt40e/SLPPvtioRFfR2VmXmP8+FGMHDmazp27Fdl+/vx57ruv5U3HXdVp5FhERETEBTVtejepqVfJyCj+4bjk5EsMGzbI4XZ37IjmypXLbNiwnmHDBjFs2CBWrvwbULB03E8//UirVg+XKfaqTCPHIiIiImWQm5NjW3bN+e0Wx2Aw0K/fQHbv/pg+ffoX2rZkyQr75zvu8OOee5oX21ZU1A775/79B9O//2BMJiNms6VQvbi4rwgOfqzQ0nG3GiXHIiIiImWQmpZLSesRl5devfoSFvYK3buH3jBhzcrKom3bR8p8LIvFQkzMNl57bU6Z26rKlByLiIiIuCiTyUR4+KJi69SsWZPg4I5lPpbRaGTBgsVlbqeqc3jOcUZGBj169ODcuXMAvPrqq3Tp0oXQ0FBCQ0P59NNPAYiLiyMkJIQuXbqwePGtfwFFRERE5Nbh0Mjx0aNHCQsL48yZM/ay77//nvfffx9/f397WXZ2NlOnTmX9+vXUr1+f4cOHs3fvXoKDg50euIiIiNz6rFYrBsOtu2yYlC+r1VrqfRwaOY6MjGTGjBn2RDgzM5Pz588zffp0QkJCeOedd7BYLBw7doxGjRrRsGFDTCYTISEhxMbGljooEREREZPJnWvX0m4qwRGxWq1cu5aGyeReqv0cGjmeN29eoe8pKSm0adOG2bNn4+XlxfDhw4mKisLLyws/v/+8m9vf35/ExMRSBVSnjk+p6lcEPz/fKtmWVCz1nWtT/7k29Z/rKkvf1a7tSUJCApcunXNiRFKd1KzpSdOmd1GjRg2H97mpB/IaNmzI0qVL7d+HDBlCdHQ0jz/+eJG6pf1TSEpKBhZLxdwhOvoLe+lSutOO56y2pGKp71yb+s+1qf9clzP6ztfXD1/dG1WKW+V37+rVbCC7UJnRaLjhgOxNvQTkxIkT7N692/7darViMpmoW7cuycnJ9vKkpKRCc5JFRERERKqym0qOrVYr8+fPJzU1lby8PDZt2kTnzp25//77OX36NPHx8eTn5xMTE0OHDh2cHbOIiIiISLm4qWkVzZs358UXX2TgwIGYzWa6dOlCjx49AAgPD2fMmDHk5OQQHBx83akWIiIiIiJVUamS4z179tg/Dx48mMGDBxepExQUxPbt28seWRVhMec6NDfZnJvDldTi345jyS25LXN2DlfSK+ctOyIiIiLVnd6QVwKjyZ1T8/qUWK/xtM2U9OpIo7s7+0OLb6vdts2g5FhERESkUtzUnGMRERERkVuRkmMRERERERslxyIiIiIiNkqORURERERslByLiIiIiNgoORYRERERsVFyLCIiIiJio+RYRERERMRGybGIiIiIiI2SYxERERERGyXHIiIiIiI2So5FRERERGyUHIuIiIiI2Cg5FhERERGxUXIsIiIiImKj5FhERERExEbJsYiIiIiIjamyAxC5Wb61auLpUfyPcHaOmfS0rAqKSERERFydkmNxWZ4eJkImbiu2zo43Q0mvoHhERETE9WlahYiIiIiIjZJjEREREREbJcciIiIiIjZKjkVEREREbBxKjjMyMujRowfnzp0DIC4ujpCQELp06cLixYvt9Y4fP06fPn3o2rUr06ZNw2w2l0/UIiIiIiLloMTk+OjRowwcOJAzZ84AkJ2dzdSpU1m2bBk7d+7k+++/Z+/evQBMmjSJ6dOns3v3bqxWK5GRkeUavIiIiIiIM5WYHEdGRjJjxgz8/f0BOHbsGI0aNaJhw4aYTCZCQkKIjY3ll19+ITs7m5YtWwLQu3dvYmNjyzV4ERERERFnKnGd43nz5hX6npSUhJ+fn/27v78/iYmJRcr9/PxITEx0YqhVW25+Hn5+vpUdhoiIiIiUQalfAmK1WouUGQyGG5aXVp06PqXepypwd6vBU5tGFlsnsv9yh9pSku1czrqe6hfXpv5zbeo/16W+c23Vsf9KnRzXrVuX5ORk+/ekpCT8/f2LlF+6dMk+FaM0UlIysFiKJtrloap2+KVLeqebIxztP2dcTz8/X/WLC1P/uTb1n+tS37m2W7n/jEbDDQdkS72U2/3338/p06eJj48nPz+fmJgYOnToQEBAAB4eHhw5cgSA6OhoOnToULbIRUREREQqUKlHjj08PAgPD2fMmDHk5OQQHBzM448/DkBERARhYWFcu3aNe++9l6FDhzo9YBERERGR8uJwcrxnzx7756CgILZv316kTvPmzYmKinJOZCIiIiIiFUxvyBMRERERsVFyLCIiIiJio+RYRERERMRGybGIiIiIiI2SYxERERERGyXHIiIiIiI2So5FRERERGyUHIuIiIiI2Cg5FhERERGxUXIsIiIiImKj5FhERERExEbJsYiIiIiIjZJjEREREREbJcciIiIiIjZKjkVEREREbJQci4iIiIjYKDkWEREREbFRciwiIiIiYmOq7ABEpPrxrVUTT4/i//nJzjGTnpZVQRGJiIgUUHIsIhXO08NEyMRtxdbZ8WYo6RUUj4iIyK80rUJERERExEYjx1WMOS8fPz/fYuvk5phJ1Z+bRURERJxOyXEVY6rhxuyJMcXWee3NHhUUjYiIiEj1omkVIiIiIiI2ZRo5Hjp0KCkpKZhMBc3Mnj2bs2fPsnz5cvLy8hg2bBiDBw92SqAiIiIiIuXtppNjq9XKqVOn+OKLL+zJcWJiIuPHj2fLli24u7szYMAAHn74YZo2beq0gEVEREREystNJ8enTp3CYDDwwgsvkJKSwlNPPYW3tzdt2rShdu3aAHTt2pXY2FhGjx7trHhFSsVizi3xAUdzbg5XUnOLbye35HYAzNk5XEkvvi0RERGpum46OU5LSyMoKIiZM2eSnZ3N0KFD6datG35+fvY6/v7+HDt2zCmBitwMo8mdU/P6FFun8bTNQPEJrdHdnf2hxbcD0G7bZlByLCIi4rJuOjl+4IEHeOCBBwDw8vKib9++vP7664wYMaJQPYPBUKp269TxudmQqhVHRjHFcc68nuob51G/yK/Uf65LfefaqmP/3XRyfPjwYfLy8ggKCgIK5iAHBASQnJxsr5OUlIS/v3+p2k1JycBisd5sWKXiyh1+6ZLeHebM/ivpepbmWOqbkjl6PZ11Lf38fNUvLkz957rUd67tVu4/o9FwwwHZm17KLT09nYULF5KTk0NGRgZbt27ljTfe4MCBA1y+fJmsrCw++eQTOnTocNOBi4iIiIhUpJseOe7YsSNHjx6lZ8+eWCwWBg0axEMPPcT48eMZOnQoeXl59O3bl/vuu8+Z8YqIiIiIlJsyrXM8btw4xo0bV6gsJCSEkJCQsjQrIiJVmG+tmnh6FP+/j+wcM+l6zb2IuCC9PlpERErF08NEyMRtxdbZ8WYot+ZMRRG51en10SIiIiIiNkqORURERERslByLiIiIiNhozrFUe7n5eS695rWIiIg4j5JjF2TOcyyZy83JITVNrzIuibtbDZ7aNLLYOpH9l1dQNCIiIlKZlBy7IFONGix59ZkS641+/e+AkmMRESngyDJ8oKX4pHpTciwiIlJNOLIMH2gpPqnelByLSJVkMec6NH3InJvDlVT9hURERJxDybGIVElGkzun5vUpsV7jaZspafqQJbfkRNucncOVdCXZIiLVnZJjEbnlGd3d2R9afKLdbttmUHIsIlLtKTkWERERcQGOPFCphynLTsmxiIiIiAtw5IFKPUxZdkqORZzInJdf4tzW3BwzqbqrFxERqZKUHIs4kamGG7MnxhRb57U3e1RQNNWD3nBYNTmy2ohWGhGRqkjJsYi4NL3hsGpyZLURR1YaAa02IiIVS8mxiIhUaVptREQqkpJjERERKUTTYqQ6U3IsUsHMeSXPkc3NySE1Tf/TEZHK4axpMY5MiQFNi5GqRcmxSAUz1ajBklefKbbO6Nf/jiNzMcV5HFlpBLTaiDPpYcpbnyNTYkDTYpzJkVF/0Mh/cZQci4jg2EojoNVGnMmRhylBD1SKlIYjo/7gvJH/W3HUX8mxiIi4PK0xXvE08u/aHO2/6vgwrJJjEZFS0JzxqklrjFc8Zy6jqJubiqdlMG9MybGISClozrjrcuTGBnRzUxl0c+O6bsUbGyXHIiJSLThyYwO6uamq9FebqulWvLEpl+R4x44dLF++nLy8PIYNG8bgwYPL4zAiIiJSTeivNq7L1f5q4/TkODExkcWLF7Nlyxbc3d0ZMGAADz/8ME2bNnX2oURERESkinO1v9o4PTmOi4ujTZs21K5dG4CuXbsSGxvL6NGjHdrfaDQ4O6Ri+d9es8Q6ptv8HGrLz+t3Jdbx8C+5rdsciMm3dh2HYqro61nRnNV/zuo7cF7/qe+q5u8eqP+gYn/3QP92OpMjfQf6t7OqctV/O6va715xxzFYrVarMw/23nvvkZmZyfjx4wH46KOPOHbsGHPmzHHmYUREREREnM7o7Aavl2sbDLf2XZyIiIiI3BqcnhzXrVuX5ORk+/ekpCT8/f2dfRgREREREadzenLctm1bDhw4wOXLl8nKyuKTTz6hQ4cOzj6MiIiIiIjTOf2BvLp16zJ+/HiGDh1KXl4effv25b777nP2YUREREREnM7pD+SJiIiIiLgqp0+rEBERERFxVUqORURERERslByLiIiIiNgoORYRERERsVFyLCIiIiJio+RY5Do+++wz1q9fz9mzZwuVb9q0qZIiktI4c+YMiYmJQMEr7OfOncvOnTsrOSq5GeHh4ZUdgjjo2LFj9s8HDhwgPDyciIgIjh49WolRiaO++uor0tLSAIiOjmb27Nls3ry5kqOqHFrKTeS/RERE8P3339OkSRN27drF5MmTCQ0NBaBXr15s3bq1kiOU4qxZs4b169djsVho06YNFy5coHPnzuzZs4cHH3yQUaNGVXaIcgOvvvpqkbI9e/bw2GOPAfD6669XdEhSCr/++/jBBx/w4Ycf0qdPHwC2bt1Kv379ePrppys5QrmRefPmcfz4cRYvXswHH3zAv/71L/785z/z5Zdf0qBBA8LCwio7xArl9JeASIHz588Xu/3OO++soEiktPbu3cvWrVsxmUwMGTKEZ599Fnd3d7p164buJau+zZs3s3PnTpKTk+nRowcHDx7Ew8ODfv360bdvXyXHVVjt2rWJjo5mxIgR1KpVC4CDBw8SGBhYyZFJaURGRrJu3Tpuv/12APr27Uvfvn2VHFdh+/fvZ8eOHbi5ufHFF18QGRmJu7s7/fv3p0ePHpUdXoVTclxOhg8fzpkzZ/D39y+SUBkMBj7//PNKikxKYrVaMRgMAPzhD3/gvffe45lnnuF3v/udvVyqLovFgru7OwEBATz77LN4eHjYt+Xn51diZFKSyZMn06FDB9566y0mTJjAww8/zNq1a+nVq1dlhyYOMJvNWCwW6tSpg5eXl73c3d0do1GzOKsyT09PUlJS8Pf3p06dOmRmZuLu7k5WVhYmU/VLFTWtopxkZGQwaNAgZsyYwUMPPVTZ4UgpLFmyhLi4OKZMmWJ/9fmRI0cYPXo0ubm5HDlypJIjlOK8/fbbHDp0iHXr1uHm5gbAjz/+SFhYGI8++iijR4+u5AilJFevXmXGjBnceeed7Nu3jx07dlR2SOKAoUOHcvr0aQwGA23btiU8PJwDBw7wxhtv8OijjzJ27NjKDlFuYM+ePcycOZPu3btjNps5ePAgQUFB7Nu3j+eff57evXtXdogVSslxOTp27BgfffQRc+bMqexQpJQOHDiAv78/TZo0sZdduHCB1atXM23atEqMTBzxzTff0Lp1a/v3U6dOkZCQQHBwcCVGJaX10UcfsWvXLlavXl3ZoUgpnDp1irS0NFq2bMmRI0dIT0/n0UcfreywpAQJCQl89tlnxMfHk5+fzx133EHHjh3tg0TViZJjEREREREbTQISEREREbFRciwiIiIiYqPkWESkEp07d4577rmHjz76qFD5qlWrmDJlisPtXL58mXvuucfZ4YmIVDtKjkVEKpnRaGTBggWcPn26skMREan2qt/idSIiVYynpyfPPPMMEydO5MMPP8Td3d2+LT09nVmzZvHjjz9iMBh45JFHmDBhAiaTiU8++YTFixdTs2ZN/vSnPxVq86OPPmLjxo1YLBZq167N9OnTadKkCYcPHyY8PByLxQIUrMnetWvXCj1fEZGqTCPHIiJVwMiRI6lZsyaLFy8uVD537lxq167Njh072Lx5MydOnGD16tUkJyczdepU3n33XbZs2UJAQIB9n0OHDhEdHc0HH3xAdHQ0zz//PGPGjAHg3Xff5ZlnnmHLli3Mnz+fgwcPVuh5iohUdRo5FhGpAoxGI2+88Qa9evWiffv29vIvv/ySjRs3YjAYcHd3Z8CAAaxdu5ZGjRpx991307RpUwD69+/PokWLAPjiiy+Ij49nwIAB9nZSU1O5evUq3bp1Y/bs2ezZs4e2bdsyYcKEij1REZEqTsmxiEgVceeddzJz5kwmT55Mz549AezTH35lsVgwm80YDIZCr6b/7SteLRYLoaGhTJo0yf49KSmJ2267jQEDBtCxY0f279/PV199xZIlS9i+fTu+vr7lf4IiIi5A0ypERKqQbt260aFDB9auXQtA+/bt+eCDD7BareTm5hIZGUnbtm1p1aoVJ0+e5McffwRgy5Yt9jbatWvHxx9/TFJSEgAbN27kL3/5CwADBgzg+PHj9O7dmzlz5pCWlkZqamoFn6WISNWlkWMRkSomLCyMI0eO2D/PnTuXkJAQ8vLyeOSRRxgxYgTu7u5ERETw8ssvU6NGjUKvy37kkUd44YUXePbZZzEYDPj4+LBkyRIMBgMvv/wy8+fP56233sJoNDJ69GgaNGhQWacqIlLl6PXRIiIiIiI2mlYhIiIiImKj5FhERERExEbJsYiIiIiIjZJjEREREREbJcciIiIiIjZKjkVEREREbJQci4iIiIjYKDkWEREREbH5f1VBIlm2N1SMAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 864x288 with 1 Axes>"
       ]
@@ -7242,7 +7268,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -7256,7 +7282,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.5"
+   "version": "3.10.2"
   },
   "toc-autonumbering": false,
   "toc-showcode": true,
diff --git a/Introduction-to-Pandas--solution.ipynb b/Introduction-to-Pandas--solution.ipynb
index b37a48e599a083e412348b27063e8cd029831f81..dd553efdb4cc9bcd2a1282c0d283ee41439d5f3c 100644
--- a/Introduction-to-Pandas--solution.ipynb
+++ b/Introduction-to-Pandas--solution.ipynb
@@ -11,7 +11,9 @@
    "source": [
     "# Data Analysis and Plotting in Python with Pandas\n",
     "\n",
-    "_Andreas Herten, J\u00fclich Supercomputing Centre, Forschungszentrum J\u00fclich, 2 June 2021_"
+    "_Andreas Herten, J\u00fclich Supercomputing Centre, Forschungszentrum J\u00fclich, 2 May 2022_\n",
+    "\n",
+    "<span style=\"color: var(--color-fzjorange)\">JSC-internal Special Edition</span>"
    ]
   },
   {
@@ -100,7 +102,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 24,
    "metadata": {
     "exercise": "task",
     "slideshow": {
@@ -119,7 +121,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 25,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -189,7 +191,7 @@
        "Favourite Color      violet         gray  "
       ]
      },
-     "execution_count": 26,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -225,7 +227,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 34,
    "metadata": {
     "exercise": "task"
    },
@@ -253,7 +255,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 35,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -477,7 +479,7 @@
        "[5 rows x 21 columns]"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -506,7 +508,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 70,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -723,7 +725,7 @@
        "[5 rows x 22 columns]"
       ]
      },
-     "execution_count": 62,
+     "execution_count": 70,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -735,7 +737,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 71,
    "metadata": {
     "exercise": "solution"
    },
@@ -753,7 +755,7 @@
        "      dtype='object')"
       ]
      },
-     "execution_count": 63,
+     "execution_count": 71,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -764,7 +766,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 72,
    "metadata": {
     "exercise": "task",
     "slideshow": {
@@ -800,7 +802,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 78,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -814,14 +816,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 79,
    "metadata": {
     "exercise": "solution"
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -866,7 +868,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 85,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -880,14 +882,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 86,
    "metadata": {
     "exercise": "solution"
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x216 with 1 Axes>"
       ]
@@ -904,14 +906,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 87,
    "metadata": {
     "exercise": "solution"
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x216 with 1 Axes>"
       ]
@@ -928,7 +930,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 88,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -938,7 +940,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -956,7 +958,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": 89,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -966,7 +968,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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pYcTo5j0RkVopYcQUFiphiIjUQgkjRgMQiojUSgkjRl1SIiK1UsKIibUw3DMdiYhIVlLCiCkshB07YPPmTEciIpKVlDBidPOeiEitlDBiYglDJ75FRBJSwohRC0NEpFZKGDFKGCIitVLCiNGItSIitVLCiNljD+jQQecwRESSUMKIp5v3RESSSlvCMLNeZjbLzJaY2dtm9tOovKuZPW9my6N5l6jczOxOM1thZovMbHC6YktKCUNEJKl0tjDKgZ+5ez/gKODHZtYPuAp40d37Ai9GrwFOAvpG00Tg7jTGlpgShohIUmlLGO6+xt0XRMtfAkuBHsA4YHq02nTg1Gh5HHC/B/8HdDaz7umKLyGNWCsiklSTnMMws2JgEDAX2Mvd10RVnwJ7Rcs9gI/j3rYqKqu+rYlmVmZmZesa+8tdI9aKiCSV9oRhZvnAI8Cl7v5FfJ27O7Bbo/25+73uXurupUWxeycaS1ERbN0K27Y17nZFRFqAtCYMM8slJIu/uPujUfFnsa6maL42Kl8N9Ip7e8+orOno5j0RkaTSeZWUAfcBS9399riqmcD4aHk88Hhc+fnR1VJHAZvjuq6ahm7eExFJqm0atz0EOA94y8wWRmX/D/gNMMPMLgA+BM6M6p4CxgArgK+A/0xjbImphSEiklTaEoa7zwEsSfXwBOs78ON0xZMSjVgrIpKU7vSOpxaGiEhSShjxOneGnBwlDBGRBJQw4pnp5j0RkSSUMKrTzXsiIgkpYVSn8aRERBKqM2GY2RlmVhAt/8LMHs3ISLJNRQlDRCShVFoYv3T3L83sWOBEws14TT+SbFPROQwRkYRSSRgV0fxk4F53fxJol76QMqyoCD7/HHbsyHQkIiJZJZWEsdrM7gHOAp4ys/Ypvq95it2LsXFjZuMQEckyqXzxnwk8C4xy901AV2BSOoPKKN28JyKSUJ1Dg7j7V8Cjca/XAE07KGBTUsIQEUmo5XYt1ZdGrBURSUgJozoNQCgiklDShGFmz5rZZWZ2cFMGlHHduoW5WhgiIlXU1sIYD3wOTDazBWZ2t5mNM7M9mii2zMjNhS5dlDBERKpJetLb3T8FpgHTzKwNcCRwEnClmW0DnnP3W5okyqamm/dERGpI6QFK7r4TeC2afmVmhcCodAaWURoeRESkhnqd9Hb39e7+l8YOJmtoxFoRkRp0lVQiamGIiNSghJFIrIXhnulIRESyRirDm+9lZveZ2dPR635mdkH6Q8ugwkIoL4dNmzIdiYhI1kilhTGNMJbUPtHrd4FL0xRPdtDNeyIiNaSSMArdfQawE8Ddy6kc8rxl0nhSIiI1pJIwtppZN8ABzOwoYHNdbzKzqWa21swWx5VNNrPVZrYwmsbE1V1tZivMbJmZZfaSXSUMEZEaUrkP43JgJrC/mf0bKAJOT+F904C7gPurld/h7v8TX2Bm/YCzgf6Erq8XzOxAd89MS0YDEIqI1JDK8OYLzOx44CDAgGXuXufj6Nz9ZTMrTjGOccDf3X078IGZrQCOINwo2PTUwhARqSGVq6RygDHAcGAk8BMzu7wBn3mxmS2Kuqy6RGU9gI/j1lkVlSWKZ6KZlZlZ2bp0faF37BgmnfQWEdkllXMY/wQmAN2AgripPu4G9gdKCA9hum13N+Du97p7qbuXFsVaAumgm/dERKpI5RxGT3c/tDE+zN0/iy2b2R+BJ6KXq4Fe8Z8ZlWWOEoaISBWptDCeNrORjfFhZtY97uVpQOwKqpnA2WbW3sx6A32BeY3xmfW2cCE880xGQxARySaptDD+D/hHNMT5DsKJb3f3PWt7k5n9DRgGFJrZKuBaYJiZlRAu0V0JXEjY2NtmNgNYApQDP87YFVIx5eUZ/XgRkWxjXsd4SWb2AeEqpre8rpWbWGlpqZeVlaVn4z/4AcyZAx9/XPe6IiLNiJnNd/fS3X1fKl1SHwOLsy1ZpF3bttCuXaajEBHJGql0Sb0PzI4GH9weK3T329MWlYiIZJ1UEsYH0dQumkREpBVK5U7v65oiEBERyW5JE4aZ3eXuF5vZP4kGHozn7mPTGpmIiGSV2loY5wMXA/9TyzoiItJK1JYw3gNw95eaKBYREclitSWMotoGGdRVUiIirUttCSMHyCfc2S0iIq1cbQljjbtf32SRiIhIVqvtTm+1LEREZJfaEsbwJotCRESyXtKE4e4bmzIQERHJbqkMPigiIqKEISIiqVHCqE15ObSyUd1FRJJRwkhm4ED46CO48cZMRyIikhVSGd68dbr8cli0CH75S+jSBX7840xHJCKSUUoYybRpA/fdB5s3w8UXQ+fOcM45mY5KRCRj1CVVm9xcePBBGDYMxo+HJ57IdEQiIhmjhFGXvDx4/HEoKYEzzoCXX850RCIiGaGEkYo994Snn4biYvjud2HBgkxHJCLS5NKWMMxsqpmtNbPFcWVdzex5M1sezbtE5WZmd5rZCjNbZGaD0xVXvRUVwXPPhXMZo0fDsmWZjkhEpEmls4UxDRhdrewq4EV37wu8GL0GOAnoG00TgbvTGFf99eoFzz8flkeMCJfdioi0EmlLGO7+MlB9PKpxwPRoeTpwalz5/R78H9DZzLqnK7YGOfBAePbZcPXUiBGwdm2mIxIRaRJNfQ5jL3dfEy1/CuwVLfcAPo5bb1VUlp0GDQpXTK1YAXfemeloRESaRMZOeru7A7s97oaZTTSzMjMrW7duXRoiS9HQoZCfD1u3Zi4GEZEm1NQJ47NYV1M0j/XnrAZ6xa3XMyqrwd3vdfdSdy8tKipKa7AiIlKpqRPGTGB8tDweeDyu/PzoaqmjgM1xXVciIpIF0jY0iJn9DRgGFJrZKuBa4DfADDO7APgQODNa/SlgDLAC+Ar4z3TFJSIi9ZO2hOHuP0hSVePRr9H5DI3uJyKSxXSnt4iIpEQJQ0REUqKEISIiKVHCEBGRlChhiIhISpQwREQkJUoYIiKSEiUMERFJiRKGiIikRAlDRERSooQhIiIpUcIQEZGUKGGIiEhKlDBERCQlShgiIpISJQwREUmJEkZDrV4NX3yR6ShERNJOCaMh9t8fHnoICgth+HC47TZYuhTcMx2ZiEijU8JoiLlz4aWX4LLLYO1auOIK6NcvJJKLL4annoJt2zIdpYhIozBvxv8Nl5aWellZWabDqPTRR/D00yFRvPACfPUV5OfDggXQt2+moxMRAcDM5rt76e6+Ty2MxrTvvnDhhfD447BhA/zud7BlC3z8caYjExFpMCWMdMnLg0MPzXQUIiKNRglDRERS0jYTH2pmK4EvgQqg3N1Lzawr8CBQDKwEznT3zzMRn4iI1JTJFsZ33L0k7sTLVcCL7t4XeDF6LSIiWSKbuqTGAdOj5enAqZkLRUREqstUwnDgOTObb2YTo7K93H1NtPwpsFeiN5rZRDMrM7OydevWNUWsIiJChs5hAMe6+2oz+xbwvJm9E1/p7m5mCW8Qcfd7gXsh3IeR/lBFRAQy1MJw99XRfC3wD+AI4DMz6w4QzddmIjYREUmsyROGme1hZgWxZWAksBiYCYyPVhsPPN7UsYmISHKZ6JLaC/iHmcU+/6/u/oyZvQ7MMLMLgA+BMzMQW+MqKAjze+6Bo46Cjh0zG4+ISAM0ecJw9/eBgQnKNwDDmzqetCopgeuvh2uvhXfegUcfDQMTiog0Q9l0WW3LYwa//CU8+WQYT6q0NAxMKCLSDClhNIWTToKyMiguhlNOgeuug507Mx2ViMhuUcJoKn36wL//DeedB5Mnw9ix8HmKI5/MmwcffJDW8ERE6pKp+zBap44dYdo0OPJIuPTS0EX1j3/UHNV2+3Z4/31YsQKWL4ef/SyUN+Nnl4hI86eE0dTM4KKLYNAgOP30cPXU5ZeH1sby5WH66CN1WYlI1lHCyJSjjw5P4jvrLLjxRujcOTyV75hj4Pzzw3JsOuqo0BoREckgJYxM2msvmDULvvgC9twztD5ERLKUEkammUGnTpmOQkSkTrpKqrmoqNBJbxHJKLUwmoN27WDGDJg5E7p3h733DlNsuXrZt74FubmZjlpEWhgljOZg2jR46SX49FNYsybM3303lG3cWHN9MygsrJlYBg8OJ9lFROpBCaM5KC1NfpXU9u3w2WchicQnlOrJZc0a+OYbGDcO8vKaNn4RaRGUMJq79u1h333DVJtbboGf/xxuuAHatg2J5ptvwjx+ubgYTjsNjjhCV22JSBVKGK1FLKHceGOY5+aGZNOuXeW8XTt45BG4+Wbo2RO+9z34/vdhyBDIyclc7CKSFcyb8ZU3paWlXlZWVq/3vvMO5OeH78VW46uvwhd/u3bJWw+ffw5PPBESx7PPwtdfh5Pop54aksd3vqMT6iLNnJnNd/fdvhu4VSYMdzj2WHj7bbjzzjAeoHpfEtiyJQzH/sgjYYj2rVtDshk3LiSOjh2hQ4cwj1+uPs/L0w9YJIsoYeym996DCRNgzpzw/XfPPeHGa0li27aQNM44o37v79ChaiI5/XS46abGjVFEUqKEUQ8VFfDb38I114TuqVmzYMCAxouvRaqoCC2NbdtCF1dsHr9c13zq1LCtP/yh8txJ/HmU+ClReXxZbq5aLyK7qb4Jo1Wf9M7JCSOHn3RSuIjooINCubu+g5LKyQnjXu25Z/230akT3HFHGLW3MeTm1p502rYN61SfYuUFBdC1a5i6dKlcjn9dUKBfCmn1WnULI5FNm2DUqPAY7jFjGnXTEuMeTq7v2FF5SW/8lKisIeXl5eGzqk/l5aH+yy/DDZDbtyePOScneUJ59VVYsiT0aebnwx571H/eoUM459O+fZjXdoGCSD2phdFI1q8PvSYnnxySxuTJmY6oBTILX7bZZtu2kDhi0+efJ3/96achSXz+OWzeHN5/3HHhQoGtW8N8w4aqr7durd9zTvLyqiaR+CmVst193/btMH16ZcstUeutrq7C2l7rEu1mSwmjmgMOCI/fPuKIcAVV165wySWhrqwsfDfk54ceioKCcFmu/gFsITp0gB49wrQ7ysvDvG0df07u4TLl+ARSff7114mn7duTl3/xBaxdm3zdbOtFaNNm95NMfRJToq7JNm1Cwqo+NVZ5C/8yUJdUEjffDFdfHYZg+uSTUPbd74ZbFKqvd+WVaQlBpOHcQ/dbsqSTLBHl54dxx2Lvr637r3pZXa8ba53Y6x07Mv1TriqdCSm+/IwzwqWe9dBiuqTMbDTwv0AO8Cd3/00m4vj5z2HSpPC3E3P77SE5fPllmGbMgG7dwj94Y8dWHsvY/Pzz4eyzQ8+EbkeQjDCr/A+7vu9v3z5M2So+qSVLKtu3h+7AioqaU2OVN+a2EpVX34cvv2zyH3VWJQwzywF+D4wAVgGvm9lMd1+SiXjatAlf9DGxJ6bGxAZ+jXVhx87hxo73V1+F8mHDYPHi8DfbuXOYRoyAu+4K9VdeGcYPLC8P7y0vD6NxXHZZqDcL0w03VL7+3vfCVV3vvw8PPVQZUywhnXlmGBZq2TL45z9h5crQpXbRRSGZjR0butSWLQs3MLZpUzXhnXBC+I744ANYtaqyrrw8lB9+ePicd98N9fGxQ2iNAbzyCqxYEcpj67RvDz/6UfgZbdlSM/ZYj0L8zzC+PnY17c6dVRN6TKz3YefO8F1RXW5u2JeKiqr/nMZ+zrGei507K3tzYnUNSfjxjXmzsP3YKY34urZtK+vj91v/bCQRnxTz8zMdTcvm7lkzAUcDz8a9vhq4Otn6hx12mDcH99/vftNN7lde6T5xovuZZ7pff31l/cCB7sXF7vvv737QQe79+rlPmlRZH75Oqk6PPBLqnn46cf1zz4X6GTMS17//fqi/6abE9WvXhvqrr05cX1ER6i+8sGZdhw6VsZ9zTs36b30r1H36aeJt33JLqF++PHH9H/4Q6hcsSFz/5z+H+pdeSlz/2GOh/sknE9e/+GKo/9vfEtfPnRvq//Qn9zZt3HNyqk5Ll4b6229P/P6PPw71112XuH7TplB/xRWJ68vLQ/1//3fVz2/b1r1Tp8qf/fjx7u3bu+flhalDh/B7FnP22e4FBWHac88wDRpUWT92rHuXLpVT167uxx9fWT9ihHthYdXplFMq64cMCcc6fvqP/6isHzTIfe+9w9S9e5guvLCy/qCD3PfZJ0w9eoTpiisq6/fbz71Xr6rTddeFuq1bQ338VFzsftttoX7dOvfevWtO99wT6j/4wL1Pn5rTAw+E+rffdj/ggJpT7Hdr3jz3vn1rTs8/H+pnzw77V3167bXK382DD645LVoU6t991xsEKPN6fEdnVQsD6AF8HPd6FXBk/ApmNhGYCLBvXSO0Zonzzqu9fuHC2ut37qz8T9ij/0Rj51dHjKj8LzxWB5U9CKedFlqu7uEKsNh/tbExtC64IFwRFmvpxuadO1fWDx9e2Qpet66yDkIr6Ac/CPHETzG33x7GO8zJqVmfnw+33VYz9uOOC/Nu3eDWW2vWH3VUmO+zTziHVN2gQWFeXAy//nXN+m9/O8wPOqiyPvZ1DNCnT5gPGADXX1/16xoqz4kPHBjOc8XeH2sBdOtWGeevfhWW41sJsVtYhg0L26/egogdu5EjK/9hjv/82HqjR1debBarjx/ma/ToytELYvXx/4CfeGJ4VEpsu+7hMSrx9fvtV1kXv+8Qfi/iW9wA++9fuTxiRM0bYfv3r1q/aVPVYzt4cOXyyJHhwrX4+vj3Dx9e83x+LJ6cnPDzjYmtV1wc5rm5YXig6mL716EDHHNMzfrYz7Njx3BhTHWxY5+fn/iJBLG/nYICKCmpWR87Pp07w6GH1qzv0CHMM9VDmFUnvc3sdGC0u/8wen0ecKS7X5xo/XSe9BYRaanqe9I7257pvRroFfe6Z1QmIiIZlm0J43Wgr5n1NrN2wNnAzAzHJCIiZNlVUu5ebmYXA88SLqud6u5vZzgsEREhyxIGgLs/BTyV6ThERKSqbOuSEhGRLKWEISIiKVHCEBGRlChhiIhISrLqxr3dZWbrgA+TVBcC65swnKai/Wp+Wuq+ab+an9i+7efuRbv75madMGpjZmX1uZMx22m/mp+Wum/ar+anofumLikREUmJEoaIiKSkJSeMezMdQJpov5qflrpv2q/mp0H71mLPYYiISONqyS0MERFpREoYIiKSkhaXMMxstJktM7MVZnZVpuNpKDNbaWZvmdlCMyuLyrqa2fNmtjyad8l0nHUxs6lmttbMFseVJdwPC+6MjuEiMxucfMuZlWS/JpvZ6uiYLTSzMXF1V0f7tczMRmUm6rqZWS8zm2VmS8zsbTP7aVTeEo5Zsn1r1sfNzPLMbJ6ZvRnt13VReW8zmxvF/2D06AjMrH30ekVUX1znh9Tnua7ZOhGGRH8P6AO0A94E+mU6rgbu00qgsFrZLcBV0fJVwM2ZjjOF/TgOGAwsrms/gDHA04ABRwFzMx3/bu7XZOCKBOv2i34n2wO9o9/VnEzvQ5L96g4MjpYLgHej+FvCMUu2b836uEU/+/xoOReYGx2LGcDZUfkU4L+j5YuAKdHy2cCDdX1GS2thHAGscPf33f0b4O/AuAzHlA7jgOnR8nTg1MyFkhp3fxnYWK042X6MA+734P+AzmbWvUkC3U1J9iuZccDf3X27u38ArCD8zmYdd1/j7gui5S+BpUAPWsYxS7ZvyTSL4xb97LdEL3OjyYETgIej8urHLHYsHwaGm8WeGJ9YS0sYPYCP416vovZfhObAgefMbL6ZTYzK9nL3NdHyp8BemQmtwZLtR0s4jhdHXTNT47oMm+V+RV0Vgwj/sbaoY1Zt36CZHzczyzGzhcBa4HlCa2iTu5dHq8THvmu/ovrNQLfatt/SEkZLdKy7DwZOAn5sZsfFV3poTzb7a6Nbyn5E7gb2B0qANcBtGY2mAcwsH3gEuNTdv4iva+7HLMG+Nfvj5u4V7l4C9CS0gg5uzO23tISxGugV97pnVNZsufvqaL4W+Afhl+CzWHM/mq/NXIQNkmw/mvVxdPfPoj/cncAfqey+aFb7ZWa5hC/Uv7j7o1FxizhmifatpRw3AHffBMwCjiZ0D8aerhof+679iuo7ARtq225LSxivA32jqwLaEU7kzMxwTPVmZnuYWUFsGRgJLCbs0/hotfHA45mJsMGS7cdM4PzoypujgM1x3SBZr1rf/WmEYwZhv86Ork7pDfQF5jV1fKmI+rLvA5a6++1xVc3+mCXbt+Z+3MysyMw6R8sdgBGE8zOzgNOj1aofs9ixPB34V9RqTC7TZ/bTcKXAGMJVD+8B12Q6ngbuSx/C1RlvAm/H9ofQz/gisBx4Aeia6VhT2Je/EZr5Owj9qBck2w/C1R6/j47hW0BppuPfzf36cxT3ouiPsnvc+tdE+7UMOCnT8deyX8cSupsWAQujaUwLOWbJ9q1ZHzfgUOCNKP7FwK+i8j6EBLcCeAhoH5XnRa9XRPV96voMDQ0iIiIpaWldUiIikiZKGCIikhIlDBERSYkShoiIpEQJQ0REUtK27lVEWj4zi10uCrA3UAGsA4qBT9y9XxPEsMXd89P9OSL1pRaGCODuG9y9xMOwClOAO6LlEmBnXe+Pu5NWpMVSwhCpW46Z/TF6xsBz0V20mNlsM/utheeU/NTMDjOzl6KBIp+NG0LjR2b2evScgkfMrGNU3tvMXrPwvJMbYh9mZt3N7OXomQyLzWxoRvZapBolDJG69QV+7+79gU3A9+Pq2rl7KXAn8DvgdHc/DJgK3Bit86i7H+7uAwlDNVwQlf8vcLe7DyDcLR7zH8CzUQtnIOFOZJGMUzNapG4fuPvCaHk+4bxGzIPR/CDgEOD56JECOVQmgUOiFkRnIB94NiofQmXy+TNwc7T8OjA1GiDvsbjPFskotTBE6rY9brmCqv9obY3mBrwdOw/i7gPcfWRUNw24OGpJXEcYwyemxtg8Hh7KdBxhNNFpZnZ+4+yGSMMoYYg0jmVAkZkdDWH4bDPrH9UVAGuiFsM5ce/5N2FEZeLLzWw/4DN3/yPwJ8IjYEUyTglDpBF4eCTw6cDNZvYm4bzDMVH1LwlPdPs38E7c235KeCjWW1R9gtsw4E0zewM4i3CuQyTjNFqtiIikRC0MERFJiRKGiIikRAlDRERSooQhIiIpUcIQEZGUKGGIiEhKlDBERCQl/x8IdQYudzUkUQAAAABJRU5ErkJggg==\n",
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pYcTo5j0RkVopYcQUFiphiIjUQgkjRgMQiojUSgkjRl1SIiK1UsKIibUw3DMdiYhIVlLCiCkshB07YPPmTEciIpKVlDBidPOeiEitlDBiYglDJ75FRBJSwohRC0NEpFZKGDFKGCIitVLCiNGItSIitVLCiNljD+jQQecwRESSUMKIp5v3RESSSlvCMLNeZjbLzJaY2dtm9tOovKuZPW9my6N5l6jczOxOM1thZovMbHC6YktKCUNEJKl0tjDKgZ+5ez/gKODHZtYPuAp40d37Ai9GrwFOAvpG00Tg7jTGlpgShohIUmlLGO6+xt0XRMtfAkuBHsA4YHq02nTg1Gh5HHC/B/8HdDaz7umKLyGNWCsiklSTnMMws2JgEDAX2Mvd10RVnwJ7Rcs9gI/j3rYqKqu+rYlmVmZmZesa+8tdI9aKiCSV9oRhZvnAI8Cl7v5FfJ27O7Bbo/25+73uXurupUWxeycaS1ERbN0K27Y17nZFRFqAtCYMM8slJIu/uPujUfFnsa6maL42Kl8N9Ip7e8+orOno5j0RkaTSeZWUAfcBS9399riqmcD4aHk88Hhc+fnR1VJHAZvjuq6ahm7eExFJqm0atz0EOA94y8wWRmX/D/gNMMPMLgA+BM6M6p4CxgArgK+A/0xjbImphSEiklTaEoa7zwEsSfXwBOs78ON0xZMSjVgrIpKU7vSOpxaGiEhSShjxOneGnBwlDBGRBJQw4pnp5j0RkSSUMKrTzXsiIgkpYVSn8aRERBKqM2GY2RlmVhAt/8LMHs3ISLJNRQlDRCShVFoYv3T3L83sWOBEws14TT+SbFPROQwRkYRSSRgV0fxk4F53fxJol76QMqyoCD7/HHbsyHQkIiJZJZWEsdrM7gHOAp4ys/Ypvq95it2LsXFjZuMQEckyqXzxnwk8C4xy901AV2BSOoPKKN28JyKSUJ1Dg7j7V8Cjca/XAE07KGBTUsIQEUmo5XYt1ZdGrBURSUgJozoNQCgiklDShGFmz5rZZWZ2cFMGlHHduoW5WhgiIlXU1sIYD3wOTDazBWZ2t5mNM7M9mii2zMjNhS5dlDBERKpJetLb3T8FpgHTzKwNcCRwEnClmW0DnnP3W5okyqamm/dERGpI6QFK7r4TeC2afmVmhcCodAaWURoeRESkhnqd9Hb39e7+l8YOJmtoxFoRkRp0lVQiamGIiNSghJFIrIXhnulIRESyRirDm+9lZveZ2dPR635mdkH6Q8ugwkIoL4dNmzIdiYhI1kilhTGNMJbUPtHrd4FL0xRPdtDNeyIiNaSSMArdfQawE8Ddy6kc8rxl0nhSIiI1pJIwtppZN8ABzOwoYHNdbzKzqWa21swWx5VNNrPVZrYwmsbE1V1tZivMbJmZZfaSXSUMEZEaUrkP43JgJrC/mf0bKAJOT+F904C7gPurld/h7v8TX2Bm/YCzgf6Erq8XzOxAd89MS0YDEIqI1JDK8OYLzOx44CDAgGXuXufj6Nz9ZTMrTjGOccDf3X078IGZrQCOINwo2PTUwhARqSGVq6RygDHAcGAk8BMzu7wBn3mxmS2Kuqy6RGU9gI/j1lkVlSWKZ6KZlZlZ2bp0faF37BgmnfQWEdkllXMY/wQmAN2AgripPu4G9gdKCA9hum13N+Du97p7qbuXFsVaAumgm/dERKpI5RxGT3c/tDE+zN0/iy2b2R+BJ6KXq4Fe8Z8ZlWWOEoaISBWptDCeNrORjfFhZtY97uVpQOwKqpnA2WbW3sx6A32BeY3xmfW2cCE880xGQxARySaptDD+D/hHNMT5DsKJb3f3PWt7k5n9DRgGFJrZKuBaYJiZlRAu0V0JXEjY2NtmNgNYApQDP87YFVIx5eUZ/XgRkWxjXsd4SWb2AeEqpre8rpWbWGlpqZeVlaVn4z/4AcyZAx9/XPe6IiLNiJnNd/fS3X1fKl1SHwOLsy1ZpF3bttCuXaajEBHJGql0Sb0PzI4GH9weK3T329MWlYiIZJ1UEsYH0dQumkREpBVK5U7v65oiEBERyW5JE4aZ3eXuF5vZP4kGHozn7mPTGpmIiGSV2loY5wMXA/9TyzoiItJK1JYw3gNw95eaKBYREclitSWMotoGGdRVUiIirUttCSMHyCfc2S0iIq1cbQljjbtf32SRiIhIVqvtTm+1LEREZJfaEsbwJotCRESyXtKE4e4bmzIQERHJbqkMPigiIqKEISIiqVHCqE15ObSyUd1FRJJRwkhm4ED46CO48cZMRyIikhVSGd68dbr8cli0CH75S+jSBX7840xHJCKSUUoYybRpA/fdB5s3w8UXQ+fOcM45mY5KRCRj1CVVm9xcePBBGDYMxo+HJ57IdEQiIhmjhFGXvDx4/HEoKYEzzoCXX850RCIiGaGEkYo994Snn4biYvjud2HBgkxHJCLS5NKWMMxsqpmtNbPFcWVdzex5M1sezbtE5WZmd5rZCjNbZGaD0xVXvRUVwXPPhXMZo0fDsmWZjkhEpEmls4UxDRhdrewq4EV37wu8GL0GOAnoG00TgbvTGFf99eoFzz8flkeMCJfdioi0EmlLGO7+MlB9PKpxwPRoeTpwalz5/R78H9DZzLqnK7YGOfBAePbZcPXUiBGwdm2mIxIRaRJNfQ5jL3dfEy1/CuwVLfcAPo5bb1VUlp0GDQpXTK1YAXfemeloRESaRMZOeru7A7s97oaZTTSzMjMrW7duXRoiS9HQoZCfD1u3Zi4GEZEm1NQJ47NYV1M0j/XnrAZ6xa3XMyqrwd3vdfdSdy8tKipKa7AiIlKpqRPGTGB8tDweeDyu/PzoaqmjgM1xXVciIpIF0jY0iJn9DRgGFJrZKuBa4DfADDO7APgQODNa/SlgDLAC+Ar4z3TFJSIi9ZO2hOHuP0hSVePRr9H5DI3uJyKSxXSnt4iIpEQJQ0REUqKEISIiKVHCEBGRlChhiIhISpQwREQkJUoYIiKSEiUMERFJiRKGiIikRAlDRERSooQhIiIpUcIQEZGUKGGIiEhKlDBERCQlShgiIpISJQwREUmJEkZDrV4NX3yR6ShERNJOCaMh9t8fHnoICgth+HC47TZYuhTcMx2ZiEijU8JoiLlz4aWX4LLLYO1auOIK6NcvJJKLL4annoJt2zIdpYhIozBvxv8Nl5aWellZWabDqPTRR/D00yFRvPACfPUV5OfDggXQt2+moxMRAcDM5rt76e6+Ty2MxrTvvnDhhfD447BhA/zud7BlC3z8caYjExFpMCWMdMnLg0MPzXQUIiKNRglDRERS0jYTH2pmK4EvgQqg3N1Lzawr8CBQDKwEznT3zzMRn4iI1JTJFsZ33L0k7sTLVcCL7t4XeDF6LSIiWSKbuqTGAdOj5enAqZkLRUREqstUwnDgOTObb2YTo7K93H1NtPwpsFeiN5rZRDMrM7OydevWNUWsIiJChs5hAMe6+2oz+xbwvJm9E1/p7m5mCW8Qcfd7gXsh3IeR/lBFRAQy1MJw99XRfC3wD+AI4DMz6w4QzddmIjYREUmsyROGme1hZgWxZWAksBiYCYyPVhsPPN7UsYmISHKZ6JLaC/iHmcU+/6/u/oyZvQ7MMLMLgA+BMzMQW+MqKAjze+6Bo46Cjh0zG4+ISAM0ecJw9/eBgQnKNwDDmzqetCopgeuvh2uvhXfegUcfDQMTiog0Q9l0WW3LYwa//CU8+WQYT6q0NAxMKCLSDClhNIWTToKyMiguhlNOgeuug507Mx2ViMhuUcJoKn36wL//DeedB5Mnw9ix8HmKI5/MmwcffJDW8ERE6pKp+zBap44dYdo0OPJIuPTS0EX1j3/UHNV2+3Z4/31YsQKWL4ef/SyUN+Nnl4hI86eE0dTM4KKLYNAgOP30cPXU5ZeH1sby5WH66CN1WYlI1lHCyJSjjw5P4jvrLLjxRujcOTyV75hj4Pzzw3JsOuqo0BoREckgJYxM2msvmDULvvgC9twztD5ERLKUEkammUGnTpmOQkSkTrpKqrmoqNBJbxHJKLUwmoN27WDGDJg5E7p3h733DlNsuXrZt74FubmZjlpEWhgljOZg2jR46SX49FNYsybM3303lG3cWHN9MygsrJlYBg8OJ9lFROpBCaM5KC1NfpXU9u3w2WchicQnlOrJZc0a+OYbGDcO8vKaNn4RaRGUMJq79u1h333DVJtbboGf/xxuuAHatg2J5ptvwjx+ubgYTjsNjjhCV22JSBVKGK1FLKHceGOY5+aGZNOuXeW8XTt45BG4+Wbo2RO+9z34/vdhyBDIyclc7CKSFcyb8ZU3paWlXlZWVq/3vvMO5OeH78VW46uvwhd/u3bJWw+ffw5PPBESx7PPwtdfh5Pop54aksd3vqMT6iLNnJnNd/fdvhu4VSYMdzj2WHj7bbjzzjAeoHpfEtiyJQzH/sgjYYj2rVtDshk3LiSOjh2hQ4cwj1+uPs/L0w9YJIsoYeym996DCRNgzpzw/XfPPeHGa0li27aQNM44o37v79ChaiI5/XS46abGjVFEUqKEUQ8VFfDb38I114TuqVmzYMCAxouvRaqoCC2NbdtCF1dsHr9c13zq1LCtP/yh8txJ/HmU+ClReXxZbq5aLyK7qb4Jo1Wf9M7JCSOHn3RSuIjooINCubu+g5LKyQnjXu25Z/230akT3HFHGLW3MeTm1p502rYN61SfYuUFBdC1a5i6dKlcjn9dUKBfCmn1WnULI5FNm2DUqPAY7jFjGnXTEuMeTq7v2FF5SW/8lKisIeXl5eGzqk/l5aH+yy/DDZDbtyePOScneUJ59VVYsiT0aebnwx571H/eoUM459O+fZjXdoGCSD2phdFI1q8PvSYnnxySxuTJmY6oBTILX7bZZtu2kDhi0+efJ3/96achSXz+OWzeHN5/3HHhQoGtW8N8w4aqr7durd9zTvLyqiaR+CmVst193/btMH16ZcstUeutrq7C2l7rEu1mSwmjmgMOCI/fPuKIcAVV165wySWhrqwsfDfk54ceioKCcFmu/gFsITp0gB49wrQ7ysvDvG0df07u4TLl+ARSff7114mn7duTl3/xBaxdm3zdbOtFaNNm95NMfRJToq7JNm1Cwqo+NVZ5C/8yUJdUEjffDFdfHYZg+uSTUPbd74ZbFKqvd+WVaQlBpOHcQ/dbsqSTLBHl54dxx2Lvr637r3pZXa8ba53Y6x07Mv1TriqdCSm+/IwzwqWe9dBiuqTMbDTwv0AO8Cd3/00m4vj5z2HSpPC3E3P77SE5fPllmGbMgG7dwj94Y8dWHsvY/Pzz4eyzQ8+EbkeQjDCr/A+7vu9v3z5M2So+qSVLKtu3h+7AioqaU2OVN+a2EpVX34cvv2zyH3VWJQwzywF+D4wAVgGvm9lMd1+SiXjatAlf9DGxJ6bGxAZ+jXVhx87hxo73V1+F8mHDYPHi8DfbuXOYRoyAu+4K9VdeGcYPLC8P7y0vD6NxXHZZqDcL0w03VL7+3vfCVV3vvw8PPVQZUywhnXlmGBZq2TL45z9h5crQpXbRRSGZjR0butSWLQs3MLZpUzXhnXBC+I744ANYtaqyrrw8lB9+ePicd98N9fGxQ2iNAbzyCqxYEcpj67RvDz/6UfgZbdlSM/ZYj0L8zzC+PnY17c6dVRN6TKz3YefO8F1RXW5u2JeKiqr/nMZ+zrGei507K3tzYnUNSfjxjXmzsP3YKY34urZtK+vj91v/bCQRnxTz8zMdTcvm7lkzAUcDz8a9vhq4Otn6hx12mDcH99/vftNN7lde6T5xovuZZ7pff31l/cCB7sXF7vvv737QQe79+rlPmlRZH75Oqk6PPBLqnn46cf1zz4X6GTMS17//fqi/6abE9WvXhvqrr05cX1ER6i+8sGZdhw6VsZ9zTs36b30r1H36aeJt33JLqF++PHH9H/4Q6hcsSFz/5z+H+pdeSlz/2GOh/sknE9e/+GKo/9vfEtfPnRvq//Qn9zZt3HNyqk5Ll4b6229P/P6PPw71112XuH7TplB/xRWJ68vLQ/1//3fVz2/b1r1Tp8qf/fjx7u3bu+flhalDh/B7FnP22e4FBWHac88wDRpUWT92rHuXLpVT167uxx9fWT9ihHthYdXplFMq64cMCcc6fvqP/6isHzTIfe+9w9S9e5guvLCy/qCD3PfZJ0w9eoTpiisq6/fbz71Xr6rTddeFuq1bQ338VFzsftttoX7dOvfevWtO99wT6j/4wL1Pn5rTAw+E+rffdj/ggJpT7Hdr3jz3vn1rTs8/H+pnzw77V3167bXK382DD645LVoU6t991xsEKPN6fEdnVQsD6AF8HPd6FXBk/ApmNhGYCLBvXSO0Zonzzqu9fuHC2ut37qz8T9ij/0Rj51dHjKj8LzxWB5U9CKedFlqu7uEKsNh/tbExtC64IFwRFmvpxuadO1fWDx9e2Qpet66yDkIr6Ac/CPHETzG33x7GO8zJqVmfnw+33VYz9uOOC/Nu3eDWW2vWH3VUmO+zTziHVN2gQWFeXAy//nXN+m9/O8wPOqiyPvZ1DNCnT5gPGADXX1/16xoqz4kPHBjOc8XeH2sBdOtWGeevfhWW41sJsVtYhg0L26/egogdu5EjK/9hjv/82HqjR1debBarjx/ma/ToytELYvXx/4CfeGJ4VEpsu+7hMSrx9fvtV1kXv+8Qfi/iW9wA++9fuTxiRM0bYfv3r1q/aVPVYzt4cOXyyJHhwrX4+vj3Dx9e83x+LJ6cnPDzjYmtV1wc5rm5YXig6mL716EDHHNMzfrYz7Njx3BhTHWxY5+fn/iJBLG/nYICKCmpWR87Pp07w6GH1qzv0CHMM9VDmFUnvc3sdGC0u/8wen0ecKS7X5xo/XSe9BYRaanqe9I7257pvRroFfe6Z1QmIiIZlm0J43Wgr5n1NrN2wNnAzAzHJCIiZNlVUu5ebmYXA88SLqud6u5vZzgsEREhyxIGgLs/BTyV6ThERKSqbOuSEhGRLKWEISIiKVHCEBGRlChhiIhISrLqxr3dZWbrgA+TVBcC65swnKai/Wp+Wuq+ab+an9i+7efuRbv75madMGpjZmX1uZMx22m/mp+Wum/ar+anofumLikREUmJEoaIiKSkJSeMezMdQJpov5qflrpv2q/mp0H71mLPYYiISONqyS0MERFpREoYIiKSkhaXMMxstJktM7MVZnZVpuNpKDNbaWZvmdlCMyuLyrqa2fNmtjyad8l0nHUxs6lmttbMFseVJdwPC+6MjuEiMxucfMuZlWS/JpvZ6uiYLTSzMXF1V0f7tczMRmUm6rqZWS8zm2VmS8zsbTP7aVTeEo5Zsn1r1sfNzPLMbJ6ZvRnt13VReW8zmxvF/2D06AjMrH30ekVUX1znh9Tnua7ZOhGGRH8P6AO0A94E+mU6rgbu00qgsFrZLcBV0fJVwM2ZjjOF/TgOGAwsrms/gDHA04ABRwFzMx3/bu7XZOCKBOv2i34n2wO9o9/VnEzvQ5L96g4MjpYLgHej+FvCMUu2b836uEU/+/xoOReYGx2LGcDZUfkU4L+j5YuAKdHy2cCDdX1GS2thHAGscPf33f0b4O/AuAzHlA7jgOnR8nTg1MyFkhp3fxnYWK042X6MA+734P+AzmbWvUkC3U1J9iuZccDf3X27u38ArCD8zmYdd1/j7gui5S+BpUAPWsYxS7ZvyTSL4xb97LdEL3OjyYETgIej8urHLHYsHwaGm8WeGJ9YS0sYPYCP416vovZfhObAgefMbL6ZTYzK9nL3NdHyp8BemQmtwZLtR0s4jhdHXTNT47oMm+V+RV0Vgwj/sbaoY1Zt36CZHzczyzGzhcBa4HlCa2iTu5dHq8THvmu/ovrNQLfatt/SEkZLdKy7DwZOAn5sZsfFV3poTzb7a6Nbyn5E7gb2B0qANcBtGY2mAcwsH3gEuNTdv4iva+7HLMG+Nfvj5u4V7l4C9CS0gg5uzO23tISxGugV97pnVNZsufvqaL4W+Afhl+CzWHM/mq/NXIQNkmw/mvVxdPfPoj/cncAfqey+aFb7ZWa5hC/Uv7j7o1FxizhmifatpRw3AHffBMwCjiZ0D8aerhof+679iuo7ARtq225LSxivA32jqwLaEU7kzMxwTPVmZnuYWUFsGRgJLCbs0/hotfHA45mJsMGS7cdM4PzoypujgM1x3SBZr1rf/WmEYwZhv86Ork7pDfQF5jV1fKmI+rLvA5a6++1xVc3+mCXbt+Z+3MysyMw6R8sdgBGE8zOzgNOj1aofs9ixPB34V9RqTC7TZ/bTcKXAGMJVD+8B12Q6ngbuSx/C1RlvAm/H9ofQz/gisBx4Aeia6VhT2Je/EZr5Owj9qBck2w/C1R6/j47hW0BppuPfzf36cxT3ouiPsnvc+tdE+7UMOCnT8deyX8cSupsWAQujaUwLOWbJ9q1ZHzfgUOCNKP7FwK+i8j6EBLcCeAhoH5XnRa9XRPV96voMDQ0iIiIpaWldUiIikiZKGCIikhIlDBERSYkShoiIpEQJQ0REUtK27lVEWj4zi10uCrA3UAGsA4qBT9y9XxPEsMXd89P9OSL1pRaGCODuG9y9xMOwClOAO6LlEmBnXe+Pu5NWpMVSwhCpW46Z/TF6xsBz0V20mNlsM/utheeU/NTMDjOzl6KBIp+NG0LjR2b2evScgkfMrGNU3tvMXrPwvJMbYh9mZt3N7OXomQyLzWxoRvZapBolDJG69QV+7+79gU3A9+Pq2rl7KXAn8DvgdHc/DJgK3Bit86i7H+7uAwlDNVwQlf8vcLe7DyDcLR7zH8CzUQtnIOFOZJGMUzNapG4fuPvCaHk+4bxGzIPR/CDgEOD56JECOVQmgUOiFkRnIB94NiofQmXy+TNwc7T8OjA1GiDvsbjPFskotTBE6rY9brmCqv9obY3mBrwdOw/i7gPcfWRUNw24OGpJXEcYwyemxtg8Hh7KdBxhNNFpZnZ+4+yGSMMoYYg0jmVAkZkdDWH4bDPrH9UVAGuiFsM5ce/5N2FEZeLLzWw/4DN3/yPwJ8IjYEUyTglDpBF4eCTw6cDNZvYm4bzDMVH1LwlPdPs38E7c235KeCjWW1R9gtsw4E0zewM4i3CuQyTjNFqtiIikRC0MERFJiRKGiIikRAlDRERSooQhIiIpUcIQEZGUKGGIiEhKlDBERCQl/x8IdQYudzUkUQAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1003,7 +1005,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 102,
+   "execution_count": 110,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -1026,7 +1028,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 103,
+   "execution_count": 111,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -1116,7 +1118,7 @@
        "16                      0.70              7.95         142.81  "
       ]
      },
-     "execution_count": 103,
+     "execution_count": 111,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1127,7 +1129,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 104,
+   "execution_count": 112,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -1137,7 +1139,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 864x288 with 1 Axes>"
       ]
@@ -1171,7 +1173,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 111,
+   "execution_count": 119,
    "metadata": {
     "exercise": "solution",
     "slideshow": {
@@ -1181,7 +1183,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 864x288 with 1 Axes>"
       ]
@@ -1237,7 +1239,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -1251,7 +1253,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.5"
+   "version": "3.10.2"
   },
   "toc-autonumbering": false,
   "toc-showcode": true,
diff --git a/Introduction-to-Pandas--tasks.ipynb b/Introduction-to-Pandas--tasks.ipynb
index 3d7982e13e605aff9c4e6988e85657d47b4f0504..7a901d76b9b3e0a077b41edd6da28e8237581929 100644
--- a/Introduction-to-Pandas--tasks.ipynb
+++ b/Introduction-to-Pandas--tasks.ipynb
@@ -11,7 +11,9 @@
    "source": [
     "# Data Analysis and Plotting in Python with Pandas\n",
     "\n",
-    "_Andreas Herten, J\u00fclich Supercomputing Centre, Forschungszentrum J\u00fclich, 2 June 2021_"
+    "_Andreas Herten, J\u00fclich Supercomputing Centre, Forschungszentrum J\u00fclich, 2 May 2022_\n",
+    "\n",
+    "<span style=\"color: var(--color-fzjorange)\">JSC-internal Special Edition</span>"
    ]
   },
   {
@@ -100,7 +102,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 24,
    "metadata": {
     "exercise": "task",
     "slideshow": {
@@ -138,7 +140,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 34,
    "metadata": {
     "exercise": "task"
    },
@@ -183,7 +185,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 72,
    "metadata": {
     "exercise": "task",
     "slideshow": {
@@ -317,7 +319,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -331,7 +333,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.5"
+   "version": "3.10.2"
   },
   "toc-autonumbering": false,
   "toc-showcode": true,
diff --git a/Makefile b/Makefile
index ae4328b065e9de26368f00b7ac0ca679cb2b45c1..9fce3b9e7c0187746bfd51ad3f9c9650e9cbb331 100644
--- a/Makefile
+++ b/Makefile
@@ -23,6 +23,7 @@ subnotebooks: $(SUBNOTEBOOKS)
 	patch --silent --unified --input=fzj-reveal.js/patch-01--add-fzj-js.patch --output=$(_TMPFILE2) $(_TMPFILE1) && mv $(_TMPFILE2) $(_TMPFILE1)
 	patch --silent --unified --input=fzj-reveal.js/patch-02--add-fzj-css.patch --output=$(_TMPFILE2) $(_TMPFILE1) && mv $(_TMPFILE2) $(_TMPFILE1)
 	patch --silent --unified --input=fzj-reveal.js/patch-03--modify-canvas.patch --output=$(_TMPFILE2) $(_TMPFILE1) && mv $(_TMPFILE2) $(_TMPFILE1)
+	patch --silent --unified --input=fzj-reveal.js/patch-04--add-dependencies.patch --output=$(_TMPFILE2) $(_TMPFILE1) && mv $(_TMPFILE2) $(_TMPFILE1)
 	patch --silent --unified --input=patch-00--add-fzj-reveal-subdir.patch --output=$(_TMPFILE2) $(_TMPFILE1) && mv $(_TMPFILE2) $(_TMPFILE1)
 	patch --silent --unified --input=patch-01--add-ah-css.patch --output=$(_TMPFILE2) $(_TMPFILE1) && mv $(_TMPFILE2) $(_TMPFILE1)
 	mv $(_TMPFILE1) $@
diff --git a/fzj-reveal.js b/fzj-reveal.js
index ec500aa680d7d64d09ecc9fffe8475105ef98a8c..6eabaeb69aa35c1872c7039639de9e1b9f55e8ec 160000
--- a/fzj-reveal.js
+++ b/fzj-reveal.js
@@ -1 +1 @@
-Subproject commit ec500aa680d7d64d09ecc9fffe8475105ef98a8c
+Subproject commit 6eabaeb69aa35c1872c7039639de9e1b9f55e8ec
diff --git a/patch-00--add-fzj-reveal-subdir.patch b/patch-00--add-fzj-reveal-subdir.patch
index 115aa304bdd769e16ccb865b8e3e7aecedb281c2..8d7502dbd6449d516a36ac64188cf8e67238c288 100644
--- a/patch-00--add-fzj-reveal-subdir.patch
+++ b/patch-00--add-fzj-reveal-subdir.patch
@@ -1,26 +1,35 @@
---- /dev/null	2021-05-25 11:39:23.000000000 +0200
-+++ /dev/null	2021-05-25 11:36:47.000000000 +0200
-@@ -11,9 +11,9 @@
+--- .tmp1	2022-04-29 15:46:57.000000000 +0200
++++ .tmp2	2022-04-29 15:59:25.000000000 +0200
+@@ -11,7 +11,7 @@
  <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.3/jquery.min.js"></script>
  
  <!-- General and theme style sheets -->
 -<link rel="stylesheet" href="reveal.js/dist/reveal.css">
++<link rel="stylesheet" href="fzj-reveal.js/reveal.js/dist/reveal.css">
+ 
+ <!-- If the query includes 'print-pdf', include the PDF print sheet -->
+ <script>
+@@ -14646,8 +14646,8 @@
+     init_mathjax();
+     </script>
+     <!-- End of mathjax configuration --><!-- Reveal Theme -->
 -<link rel="stylesheet" href="reveal.js/dist/theme/simple.css" id="theme">
 -<link rel="stylesheet" href="custom.css" id="custom">
-+<link rel="stylesheet" href="fzj-reveal.js/reveal.js/dist/reveal.css">
 +<link rel="stylesheet" href="fzj-reveal.js/reveal.js/dist/theme/simple.css" id="theme">
 +<link rel="stylesheet" href="fzj-reveal.js/custom.css" id="custom">
  
- <!-- If the query includes 'print-pdf', include the PDF print sheet -->
- <script>
-@@ -21749,8 +21749,8 @@
- </body>
+ </head>
+ 
+@@ -23349,9 +23349,9 @@
+ 
  
  
 -<script src="reveal.js/dist/reveal.js"></script>
 -<script src="fzj.js"></script>
+-<script src="reveal.js/plugin/zoom/zoom.js"></script>
 +<script src="fzj-reveal.js/reveal.js/dist/reveal.js"></script>
 +<script src="fzj-reveal.js/fzj.js"></script>
++<script src="fzj-reveal.js/reveal.js/plugin/zoom/zoom.js"></script>
  <script>
    Reveal.initialize({
      controls: true,