Move to new run capture arch

5 files changed, 442 insertions, 276 deletions

diff --git a/firmware/Spectrum Measurement.ipynb b/firmware/Spectrum Measurement.ipynb
index c77709a..66818a9 100644
--- a/firmware/Spectrum Measurement.ipynb
+++ b/firmware/Spectrum Measurement.ipynb
@@ -2,9 +2,9 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 277,
+   "execution_count": 6,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -22,9 +22,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 7,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -33,9 +33,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 8,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -46,7 +46,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 9,
    "metadata": {
     "collapsed": true
    },
@@ -64,9 +64,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 10,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -83,10 +83,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 11,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -94,6 +92,7 @@
        "/* Put everything inside the global mpl namespace */\n",
        "window.mpl = {};\n",
        "\n",
+       "\n",
        "mpl.get_websocket_type = function() {\n",
        "    if (typeof(WebSocket) !== 'undefined') {\n",
        "        return WebSocket;\n",
@@ -152,6 +151,9 @@
        "    this.ws.onopen =  function () {\n",
        "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
        "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
        "            fig.send_message(\"refresh\", {});\n",
        "        }\n",
        "\n",
@@ -221,6 +223,15 @@
        "    this.canvas = canvas[0];\n",
        "    this.context = canvas[0].getContext(\"2d\");\n",
        "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
        "    var rubberband = $('<canvas/>');\n",
        "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
        "\n",
@@ -277,8 +288,9 @@
        "        canvas_div.css('width', width)\n",
        "        canvas_div.css('height', height)\n",
        "\n",
-       "        canvas.attr('width', width);\n",
-       "        canvas.attr('height', height);\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
        "\n",
        "        rubberband.attr('width', width);\n",
        "        rubberband.attr('height', height);\n",
@@ -411,10 +423,10 @@
        "}\n",
        "\n",
        "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
-       "    var x0 = msg['x0'];\n",
-       "    var y0 = fig.canvas.height - msg['y0'];\n",
-       "    var x1 = msg['x1'];\n",
-       "    var y1 = fig.canvas.height - msg['y1'];\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
        "    x0 = Math.floor(x0) + 0.5;\n",
        "    y0 = Math.floor(y0) + 0.5;\n",
        "    x1 = Math.floor(x1) + 0.5;\n",
@@ -570,8 +582,8 @@
        "        this.canvas_div.focus();\n",
        "    }\n",
        "\n",
-       "    var x = canvas_pos.x;\n",
-       "    var y = canvas_pos.y;\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
        "\n",
        "    this.send_message(name, {x: x, y: y, button: event.button,\n",
        "                             step: event.step,\n",
@@ -692,6 +704,7 @@
        "};\n",
        "\n",
        "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
        "    fig.root.unbind('remove')\n",
        "\n",
        "    // Update the output cell to use the data from the current canvas.\n",
@@ -700,7 +713,7 @@
        "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
        "    // the notebook keyboard shortcuts fail.\n",
        "    IPython.keyboard_manager.enable()\n",
-       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
+       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
        "    fig.close_ws(fig, msg);\n",
        "}\n",
        "\n",
@@ -711,8 +724,9 @@
        "\n",
        "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
        "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
        "    var dataURL = this.canvas.toDataURL();\n",
-       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
+       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
        "}\n",
        "\n",
        "mpl.figure.prototype.updated_canvas_event = function() {\n",
@@ -801,12 +815,9 @@
        "    // Check for shift+enter\n",
        "    if (event.shiftKey && event.which == 13) {\n",
        "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
        "    }\n",
        "}\n",
        "\n",
@@ -855,7 +866,7 @@
     {
      "data": {
       "text/html": [
-       "<img 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\">"
+       "<div id='11514acd-640e-40b2-8fef-5a43de1821e4'></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -863,6 +874,19 @@
      },
      "metadata": {},
      "output_type": "display_data"
+    },
+    {
+     "ename": "OperationalError",
+     "evalue": "no such column: run_id",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mOperationalError\u001b[0m                          Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-11-e90842d7a10f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mplot_rgb\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m9\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m12\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m<ipython-input-10-e7656890afb7>\u001b[0m in \u001b[0;36mplot_rgb\u001b[0;34m(id_r, id_g, id_b, loader)\u001b[0m\n\u001b[1;32m      3\u001b[0m     \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msuptitle\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Runs {}, {}, {} at {:%y-%m-%d %H:%M:%S}'\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mid_r\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mid_g\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mid_b\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdatetime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mrun_id\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolor\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mid_g\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'green'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mid_r\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'red'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mid_b\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'blue'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m         \u001b[0msteps\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstdev\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mloader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrun_id\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m         \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merrorbar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msteps\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0myerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mstdev\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolor\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m         \u001b[0;31m#ax.set_ylim([2.2, 5])\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m<ipython-input-8-30216012fb53>\u001b[0m in \u001b[0;36mload_run\u001b[0;34m(run_id)\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mload_run\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrun_id\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m     \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdb\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexecute\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'SELECT step, voltage, voltage_stdev FROM measurements WHERE run_id = ? AND led_on = 1 ORDER BY step ASC'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mrun_id\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfetchall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mOperationalError\u001b[0m: no such column: run_id"
+     ]
     }
    ],
    "source": [
@@ -871,9 +895,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -892,9 +916,74 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "#live_plot_rgb(14, 15, 13, loader=load_run_zero_cal)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 116,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "def live_plot_rgb_splines(id_r, id_g, id_b, id_w=None,\n",
+    "                          max_stdev=0.05, spline_s=1, interval=1,\n",
+    "                          live=True, show_title=True, save_svg=None):\n",
+    "    fig, ax = plt.subplots(1, 1)\n",
+    "    if show_title:\n",
+    "        fig.suptitle('Runs {}, {}, {} at {:%y-%m-%d %H:%M:%S}'.format(id_r, id_g, id_b, datetime.now()))\n",
+    "    \n",
+    "    while True:\n",
+    "        ax.clear()\n",
+    "        #colors = [\n",
+    "        #    ((1,0,0), (1,0,0,0.2)),\n",
+    "        #    ((0,1,0), (0,1,0,0.2)),\n",
+    "        #    ((0,0,1), (0,0,1,0.2)),\n",
+    "        #    ((0,0,0), (0,0,0,0.2))\n",
+    "        #]\n",
+    "        colors = [\n",
+    "            (('#fe3ea0', '#ffd2e9')) #ff99cc\n",
+    "        ]*4\n",
+    "        runs = [id_r, id_g, id_b] if id_w is None else [id_r, id_g, id_b, id_w]\n",
+    "        for run_id, (color_dark, color_bright) in zip(runs, colors):\n",
+    "            steps, values, stdev = load_run_zero_cal(run_id, max_stdev)\n",
+    "            ax.errorbar(steps, values, yerr=stdev, color=color_bright, zorder=1)\n",
+    "            ax.spines['top'].set_visible(False)\n",
+    "            ax.spines['right'].set_visible(False)\n",
+    "            ax.spines['bottom'].set_color('#08bdf9')\n",
+    "            ax.spines['left'].set_color('#08bdf9')\n",
+    "            ax.tick_params(axis='x', colors='#01769D')\n",
+    "            ax.tick_params(axis='y', colors='#01769D')\n",
+    "            ax.xaxis.label.set_color('#01769D')\n",
+    "            ax.yaxis.label.set_color('#01769D')\n",
+    "            ax.set_xlabel('x [steps]')\n",
+    "            ax.set_ylabel('Vpd [V]')\n",
+    "            ax.grid(color='#08bdf9', linestyle=':')\n",
+    "            try:\n",
+    "                spline = inter.UnivariateSpline(steps, values, s=spline_s)\n",
+    "                ax.plot(steps, spline(steps), color=color_dark, zorder=2)\n",
+    "            except:\n",
+    "                pass\n",
+    "        fig.canvas.draw()\n",
+    "        if save_svg:\n",
+    "            fig.savefig(save_svg)\n",
+    "        if save_svg or not live:\n",
+    "            break\n",
+    "        time.sleep(1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 117,
+   "metadata": {
+    "scrolled": false
    },
    "outputs": [
     {
@@ -903,6 +992,7 @@
        "/* Put everything inside the global mpl namespace */\n",
        "window.mpl = {};\n",
        "\n",
+       "\n",
        "mpl.get_websocket_type = function() {\n",
        "    if (typeof(WebSocket) !== 'undefined') {\n",
        "        return WebSocket;\n",
@@ -961,6 +1051,9 @@
        "    this.ws.onopen =  function () {\n",
        "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
        "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
        "            fig.send_message(\"refresh\", {});\n",
        "        }\n",
        "\n",
@@ -1030,6 +1123,15 @@
        "    this.canvas = canvas[0];\n",
        "    this.context = canvas[0].getContext(\"2d\");\n",
        "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
        "    var rubberband = $('<canvas/>');\n",
        "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
        "\n",
@@ -1086,8 +1188,9 @@
        "        canvas_div.css('width', width)\n",
        "        canvas_div.css('height', height)\n",
        "\n",
-       "        canvas.attr('width', width);\n",
-       "        canvas.attr('height', height);\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
        "\n",
        "        rubberband.attr('width', width);\n",
        "        rubberband.attr('height', height);\n",
@@ -1220,10 +1323,10 @@
        "}\n",
        "\n",
        "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
-       "    var x0 = msg['x0'];\n",
-       "    var y0 = fig.canvas.height - msg['y0'];\n",
-       "    var x1 = msg['x1'];\n",
-       "    var y1 = fig.canvas.height - msg['y1'];\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
        "    x0 = Math.floor(x0) + 0.5;\n",
        "    y0 = Math.floor(y0) + 0.5;\n",
        "    x1 = Math.floor(x1) + 0.5;\n",
@@ -1379,8 +1482,8 @@
        "        this.canvas_div.focus();\n",
        "    }\n",
        "\n",
-       "    var x = canvas_pos.x;\n",
-       "    var y = canvas_pos.y;\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
        "\n",
        "    this.send_message(name, {x: x, y: y, button: event.button,\n",
        "                             step: event.step,\n",
@@ -1501,6 +1604,7 @@
        "};\n",
        "\n",
        "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
        "    fig.root.unbind('remove')\n",
        "\n",
        "    // Update the output cell to use the data from the current canvas.\n",
@@ -1509,7 +1613,7 @@
        "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
        "    // the notebook keyboard shortcuts fail.\n",
        "    IPython.keyboard_manager.enable()\n",
-       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
+       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
        "    fig.close_ws(fig, msg);\n",
        "}\n",
        "\n",
@@ -1520,8 +1624,9 @@
        "\n",
        "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
        "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
        "    var dataURL = this.canvas.toDataURL();\n",
-       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
+       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
        "}\n",
        "\n",
        "mpl.figure.prototype.updated_canvas_event = function() {\n",
@@ -1610,12 +1715,9 @@
        "    // Check for shift+enter\n",
        "    if (event.shiftKey && event.which == 13) {\n",
        "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
        "    }\n",
        "}\n",
        "\n",
@@ -1664,7 +1766,7 @@
     {
      "data": {
       "text/html": [
-       "<img 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\">"
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\" width=\"640\">"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -1672,63 +1774,27 @@
      },
      "metadata": {},
      "output_type": "display_data"
-    },
-    {
-     "ename": "KeyboardInterrupt",
-     "evalue": "",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
-      "\u001b[1;32m<ipython-input-18-5741f6ed4af4>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mlive_plot_rgb\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m14\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m15\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m13\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mloader\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mload_run_zero_cal\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[1;32m<ipython-input-16-f9d194801c7a>\u001b[0m in \u001b[0;36mlive_plot_rgb\u001b[1;34m(id_r, id_g, id_b, interval, loader)\u001b[0m\n\u001b[0;32m      9\u001b[0m             \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0merrorbar\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msteps\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalues\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0myerr\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mstdev\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcolor\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mcolor\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     10\u001b[0m         \u001b[0mfig\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 11\u001b[1;33m         \u001b[0mtime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
-     ]
     }
    ],
    "source": [
-    "#live_plot_rgb(14, 15, 13, loader=load_run_zero_cal)"
+    "#live_plot_rgb_splines(14, 15, 13, live=False, show_title=False)\n",
+    "live_plot_rgb_splines(45, 46, 44, spline_s=0.08, max_stdev=1.0, live=False, show_title=False, save_svg='/tmp/raw_plot_cheap_rgb.svg')"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 72,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "def live_plot_rgb_splines(id_r, id_g, id_b, max_stdev=0.05, spline_s=1, interval=1, live=True):\n",
-    "    fig, ax = plt.subplots(1, 1)\n",
-    "    fig.suptitle('Runs {}, {}, {} at {:%y-%m-%d %H:%M:%S}'.format(id_r, id_g, id_b, datetime.now()))\n",
-    "    \n",
-    "    while True:\n",
-    "        ax.clear()\n",
-    "        colors = [\n",
-    "            ((1,0,0), (1,0.8,0.8)),\n",
-    "            ((0,1,0), (0.8,1,0.8)),\n",
-    "            ((0,0,1), (0.8,0.8,1))\n",
-    "        ]\n",
-    "        for run_id, (color_dark, color_bright) in zip([id_r, id_g, id_b], colors):\n",
-    "            steps, values, stdev = load_run_zero_cal(run_id, max_stdev)\n",
-    "            ax.errorbar(steps, values, yerr=stdev, color=color_bright)\n",
-    "            try:\n",
-    "                spline = inter.UnivariateSpline(steps, values, s=spline_s)\n",
-    "                ax.plot(steps, spline(steps), color=color_dark)\n",
-    "            except:\n",
-    "                pass\n",
-    "        fig.canvas.draw()\n",
-    "        if not live:\n",
-    "            break\n",
-    "        time.sleep(1)"
+    "* Go further than step 250 to capture some zeros beyond the red band to allow the spline fitter to do its job more properly\n",
+    "* Move the entire screen further down and further increase range to properly capture blue rolloff\n",
+    "* Decrease amplification to avoid clipping. Maybe change amplification midway for green channel. Currenlty set to 5GOhm using 10M transimp feedback R with 1:10 T feedback and ~1:50 gain voltage amp stage. Maybe go back to plain transimp amp with 10M gain, for a total gain of 500M\n",
+    "* Decrease VGND bias to allow for more headroom"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 118,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1736,6 +1802,7 @@
        "/* Put everything inside the global mpl namespace */\n",
        "window.mpl = {};\n",
        "\n",
+       "\n",
        "mpl.get_websocket_type = function() {\n",
        "    if (typeof(WebSocket) !== 'undefined') {\n",
        "        return WebSocket;\n",
@@ -1794,6 +1861,9 @@
        "    this.ws.onopen =  function () {\n",
        "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
        "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
        "            fig.send_message(\"refresh\", {});\n",
        "        }\n",
        "\n",
@@ -1863,6 +1933,15 @@
        "    this.canvas = canvas[0];\n",
        "    this.context = canvas[0].getContext(\"2d\");\n",
        "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
        "    var rubberband = $('<canvas/>');\n",
        "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
        "\n",
@@ -1919,8 +1998,9 @@
        "        canvas_div.css('width', width)\n",
        "        canvas_div.css('height', height)\n",
        "\n",
-       "        canvas.attr('width', width);\n",
-       "        canvas.attr('height', height);\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
        "\n",
        "        rubberband.attr('width', width);\n",
        "        rubberband.attr('height', height);\n",
@@ -2053,10 +2133,10 @@
        "}\n",
        "\n",
        "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
-       "    var x0 = msg['x0'];\n",
-       "    var y0 = fig.canvas.height - msg['y0'];\n",
-       "    var x1 = msg['x1'];\n",
-       "    var y1 = fig.canvas.height - msg['y1'];\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
        "    x0 = Math.floor(x0) + 0.5;\n",
        "    y0 = Math.floor(y0) + 0.5;\n",
        "    x1 = Math.floor(x1) + 0.5;\n",
@@ -2212,8 +2292,8 @@
        "        this.canvas_div.focus();\n",
        "    }\n",
        "\n",
-       "    var x = canvas_pos.x;\n",
-       "    var y = canvas_pos.y;\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
        "\n",
        "    this.send_message(name, {x: x, y: y, button: event.button,\n",
        "                             step: event.step,\n",
@@ -2334,6 +2414,7 @@
        "};\n",
        "\n",
        "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
        "    fig.root.unbind('remove')\n",
        "\n",
        "    // Update the output cell to use the data from the current canvas.\n",
@@ -2342,7 +2423,7 @@
        "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
        "    // the notebook keyboard shortcuts fail.\n",
        "    IPython.keyboard_manager.enable()\n",
-       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
+       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
        "    fig.close_ws(fig, msg);\n",
        "}\n",
        "\n",
@@ -2353,8 +2434,9 @@
        "\n",
        "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
        "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
        "    var dataURL = this.canvas.toDataURL();\n",
-       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
+       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
        "}\n",
        "\n",
        "mpl.figure.prototype.updated_canvas_event = function() {\n",
@@ -2443,12 +2525,9 @@
        "    // Check for shift+enter\n",
        "    if (event.shiftKey && event.which == 13) {\n",
        "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
        "    }\n",
        "}\n",
        "\n",
@@ -2497,7 +2576,7 @@
     {
      "data": {
       "text/html": [
-       "<img 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\">"
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\" width=\"640\">"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -2508,24 +2587,14 @@
     }
    ],
    "source": [
-    "live_plot_rgb_splines(14, 15, 13, live=False)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "* Go further than step 250 to capture some zeros beyond the red band to allow the spline fitter to do its job more properly\n",
-    "* Move the entire screen further down and further increase range to properly capture blue rolloff\n",
-    "* Decrease amplification to avoid clipping. Maybe change amplification midway for green channel. Currenlty set to 5GOhm using 10M transimp feedback R with 1:10 T feedback and ~1:50 gain voltage amp stage. Maybe go back to plain transimp amp with 10M gain, for a total gain of 500M\n",
-    "* Decrease VGND bias to allow for more headroom"
+    "live_plot_rgb_splines(42, 43, 40, spline_s=0.01, max_stdev=1.0, live=False)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 96,
+   "execution_count": 119,
    "metadata": {
-    "collapsed": false
+    "scrolled": false
    },
    "outputs": [
     {
@@ -2534,6 +2603,7 @@
        "/* Put everything inside the global mpl namespace */\n",
        "window.mpl = {};\n",
        "\n",
+       "\n",
        "mpl.get_websocket_type = function() {\n",
        "    if (typeof(WebSocket) !== 'undefined') {\n",
        "        return WebSocket;\n",
@@ -2592,6 +2662,9 @@
        "    this.ws.onopen =  function () {\n",
        "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
        "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
        "            fig.send_message(\"refresh\", {});\n",
        "        }\n",
        "\n",
@@ -2661,6 +2734,15 @@
        "    this.canvas = canvas[0];\n",
        "    this.context = canvas[0].getContext(\"2d\");\n",
        "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
        "    var rubberband = $('<canvas/>');\n",
        "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
        "\n",
@@ -2717,8 +2799,9 @@
        "        canvas_div.css('width', width)\n",
        "        canvas_div.css('height', height)\n",
        "\n",
-       "        canvas.attr('width', width);\n",
-       "        canvas.attr('height', height);\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
        "\n",
        "        rubberband.attr('width', width);\n",
        "        rubberband.attr('height', height);\n",
@@ -2851,10 +2934,10 @@
        "}\n",
        "\n",
        "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
-       "    var x0 = msg['x0'];\n",
-       "    var y0 = fig.canvas.height - msg['y0'];\n",
-       "    var x1 = msg['x1'];\n",
-       "    var y1 = fig.canvas.height - msg['y1'];\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
        "    x0 = Math.floor(x0) + 0.5;\n",
        "    y0 = Math.floor(y0) + 0.5;\n",
        "    x1 = Math.floor(x1) + 0.5;\n",
@@ -3010,8 +3093,8 @@
        "        this.canvas_div.focus();\n",
        "    }\n",
        "\n",
-       "    var x = canvas_pos.x;\n",
-       "    var y = canvas_pos.y;\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
        "\n",
        "    this.send_message(name, {x: x, y: y, button: event.button,\n",
        "                             step: event.step,\n",
@@ -3132,6 +3215,7 @@
        "};\n",
        "\n",
        "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
        "    fig.root.unbind('remove')\n",
        "\n",
        "    // Update the output cell to use the data from the current canvas.\n",
@@ -3140,7 +3224,7 @@
        "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
        "    // the notebook keyboard shortcuts fail.\n",
        "    IPython.keyboard_manager.enable()\n",
-       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
+       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
        "    fig.close_ws(fig, msg);\n",
        "}\n",
        "\n",
@@ -3151,8 +3235,9 @@
        "\n",
        "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
        "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
        "    var dataURL = this.canvas.toDataURL();\n",
-       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
+       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
        "}\n",
        "\n",
        "mpl.figure.prototype.updated_canvas_event = function() {\n",
@@ -3241,12 +3326,9 @@
        "    // Check for shift+enter\n",
        "    if (event.shiftKey && event.which == 13) {\n",
        "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
        "    }\n",
        "}\n",
        "\n",
@@ -3295,7 +3377,7 @@
     {
      "data": {
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+       "<img 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\" width=\"640\">"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -3306,16 +3388,13 @@
     }
    ],
    "source": [
-    "live_plot_rgb_splines(42, 43, 40, spline_s=0.01, max_stdev=1.0, live=False)"
+    "live_plot_rgb_splines(45, 46, 44, spline_s=0.08, max_stdev=1.0, live=False)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 104,
-   "metadata": {
-    "collapsed": false,
-    "scrolled": false
-   },
+   "execution_count": 120,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3323,6 +3402,7 @@
        "/* Put everything inside the global mpl namespace */\n",
        "window.mpl = {};\n",
        "\n",
+       "\n",
        "mpl.get_websocket_type = function() {\n",
        "    if (typeof(WebSocket) !== 'undefined') {\n",
        "        return WebSocket;\n",
@@ -3381,6 +3461,9 @@
        "    this.ws.onopen =  function () {\n",
        "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
        "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
        "            fig.send_message(\"refresh\", {});\n",
        "        }\n",
        "\n",
@@ -3450,6 +3533,15 @@
        "    this.canvas = canvas[0];\n",
        "    this.context = canvas[0].getContext(\"2d\");\n",
        "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
        "    var rubberband = $('<canvas/>');\n",
        "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
        "\n",
@@ -3506,8 +3598,9 @@
        "        canvas_div.css('width', width)\n",
        "        canvas_div.css('height', height)\n",
        "\n",
-       "        canvas.attr('width', width);\n",
-       "        canvas.attr('height', height);\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
        "\n",
        "        rubberband.attr('width', width);\n",
        "        rubberband.attr('height', height);\n",
@@ -3640,10 +3733,10 @@
        "}\n",
        "\n",
        "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
-       "    var x0 = msg['x0'];\n",
-       "    var y0 = fig.canvas.height - msg['y0'];\n",
-       "    var x1 = msg['x1'];\n",
-       "    var y1 = fig.canvas.height - msg['y1'];\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
        "    x0 = Math.floor(x0) + 0.5;\n",
        "    y0 = Math.floor(y0) + 0.5;\n",
        "    x1 = Math.floor(x1) + 0.5;\n",
@@ -3799,8 +3892,8 @@
        "        this.canvas_div.focus();\n",
        "    }\n",
        "\n",
-       "    var x = canvas_pos.x;\n",
-       "    var y = canvas_pos.y;\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
        "\n",
        "    this.send_message(name, {x: x, y: y, button: event.button,\n",
        "                             step: event.step,\n",
@@ -3921,6 +4014,7 @@
        "};\n",
        "\n",
        "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
        "    fig.root.unbind('remove')\n",
        "\n",
        "    // Update the output cell to use the data from the current canvas.\n",
@@ -3929,7 +4023,7 @@
        "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
        "    // the notebook keyboard shortcuts fail.\n",
        "    IPython.keyboard_manager.enable()\n",
-       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
+       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
        "    fig.close_ws(fig, msg);\n",
        "}\n",
        "\n",
@@ -3940,8 +4034,9 @@
        "\n",
        "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
        "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
        "    var dataURL = this.canvas.toDataURL();\n",
-       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
+       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
        "}\n",
        "\n",
        "mpl.figure.prototype.updated_canvas_event = function() {\n",
@@ -4030,12 +4125,9 @@
        "    // Check for shift+enter\n",
        "    if (event.shiftKey && event.which == 13) {\n",
        "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
        "    }\n",
        "}\n",
        "\n",
@@ -4084,7 +4176,7 @@
     {
      "data": {
       "text/html": [
-       "<img 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\">"
+       "<img 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\" width=\"640\">"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -4095,12 +4187,12 @@
     }
    ],
    "source": [
-    "live_plot_rgb_splines(45, 46, 44, spline_s=0.08, max_stdev=1.0, live=False)"
+    "live_plot_rgb_splines(51, 54, 55, 61, spline_s=0.05, max_stdev=1.0, live=False)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 169,
+   "execution_count": 121,
    "metadata": {
     "collapsed": true
    },
@@ -4124,10 +4216,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 171,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 122,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -4147,6 +4237,7 @@
        "/* Put everything inside the global mpl namespace */\n",
        "window.mpl = {};\n",
        "\n",
+       "\n",
        "mpl.get_websocket_type = function() {\n",
        "    if (typeof(WebSocket) !== 'undefined') {\n",
        "        return WebSocket;\n",
@@ -4205,6 +4296,9 @@
        "    this.ws.onopen =  function () {\n",
        "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
        "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
        "            fig.send_message(\"refresh\", {});\n",
        "        }\n",
        "\n",
@@ -4274,6 +4368,15 @@
        "    this.canvas = canvas[0];\n",
        "    this.context = canvas[0].getContext(\"2d\");\n",
        "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
        "    var rubberband = $('<canvas/>');\n",
        "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
        "\n",
@@ -4330,8 +4433,9 @@
        "        canvas_div.css('width', width)\n",
        "        canvas_div.css('height', height)\n",
        "\n",
-       "        canvas.attr('width', width);\n",
-       "        canvas.attr('height', height);\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
        "\n",
        "        rubberband.attr('width', width);\n",
        "        rubberband.attr('height', height);\n",
@@ -4464,10 +4568,10 @@
        "}\n",
        "\n",
        "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
-       "    var x0 = msg['x0'];\n",
-       "    var y0 = fig.canvas.height - msg['y0'];\n",
-       "    var x1 = msg['x1'];\n",
-       "    var y1 = fig.canvas.height - msg['y1'];\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
        "    x0 = Math.floor(x0) + 0.5;\n",
        "    y0 = Math.floor(y0) + 0.5;\n",
        "    x1 = Math.floor(x1) + 0.5;\n",
@@ -4623,8 +4727,8 @@
        "        this.canvas_div.focus();\n",
        "    }\n",
        "\n",
-       "    var x = canvas_pos.x;\n",
-       "    var y = canvas_pos.y;\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
        "\n",
        "    this.send_message(name, {x: x, y: y, button: event.button,\n",
        "                             step: event.step,\n",
@@ -4745,6 +4849,7 @@
        "};\n",
        "\n",
        "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
        "    fig.root.unbind('remove')\n",
        "\n",
        "    // Update the output cell to use the data from the current canvas.\n",
@@ -4753,7 +4858,7 @@
        "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
        "    // the notebook keyboard shortcuts fail.\n",
        "    IPython.keyboard_manager.enable()\n",
-       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
+       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
        "    fig.close_ws(fig, msg);\n",
        "}\n",
        "\n",
@@ -4764,8 +4869,9 @@
        "\n",
        "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
        "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
        "    var dataURL = this.canvas.toDataURL();\n",
-       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
+       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
        "}\n",
        "\n",
        "mpl.figure.prototype.updated_canvas_event = function() {\n",
@@ -4854,12 +4960,9 @@
        "    // Check for shift+enter\n",
        "    if (event.shiftKey && event.which == 13) {\n",
        "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
        "    }\n",
        "}\n",
        "\n",
@@ -4908,7 +5011,7 @@
     {
      "data": {
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\">"
+       "<img 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Ul+aL3WEYb9onJv3zm4pp4l38/l/OM6vSp9j3t/oOM8MvFsj3iudFDqQhhCSEJpJdrE5UrT56z2xJeJI0b9kzcTOM0X/Sl4rxQngOaKF1EeiBc9G0cI7347XTk4TbyG4TlSEPheVn02iIwiz1cy9LvUHgjSTwuPpU9EC1M0mabhwyUY2ARTRUb+vicbjhvR5XvOOTRbvgSAi2lH/GdE+b3vT3/W+aL9Dr8EBncVbcruK1pw1NPmwF0PFvwD+KX3/U13H10pms/Eh0Tw3Srxre0aL9+hoL84Xuy/lJ6J/1PxG6gvgMaJzsJnpWtY28L3NXGF2voa6zj1D7PVlD6S/u4sUNkL7/4mOiN4n+n/GKx/dI1rzvUX0/9SnIjJcGhZlJ+0k+3O1c5x3rWg3gw3pe21Nvy9kjeZcXQfcmC4VXgOC3N9Z4XH8m6JpsENUxqeId7wMzRGmZo7zThPvtG6a43pnuNrlOK/YP9IIISSR3Ci6iPu/+fiOy0VFwN1sY5q33fMPlpMLRMXHvexZoRwlOjLUq09RtXgPqCgXTURry7wEPF9OFpWgywIJESGEEEIizZGifZIe8/Edy6R+Z3oR7dfo1TRZbmaI93yHhXC7aE2Tu7/kcaJNWvk2BZaKa0Rri4pd6qqzeHfoJ4QQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIfHlCBE5RUSO44svvvjiiy++YvU6RbQcJ6RgThER8MUXX3zxxRdfsXydIoQUwXEigvXr12PHjh188cUXX3zxxVcMXuvXrzcCeFzIHkFiynEigh07doAQQggh8WDHjh0UQOILCiAhhBASMyiAxC8UQEIIISRmUACJXyiAhBBCSMygABK/UAAJIYSQmEEBJH6hABJCCCExgwJI/EIBJIQQQmIGBZD4hQJICCGExAwKIPELBZAQQgiJGRRA4hcKICGEEBIzKIDELxRAQgghJGZQAIlfKICEEEJIzKAAEr9QAAkhhJCYQQEkfqEAEkIIITGDAkj8QgEkhBASDVIpwLL0lUqFHZpIQwEkfqEAEkIIiQYUwLyhABK/UAAJIYQUj1Pa9u/33nfKXC7JowDmDQWQ+IUCSAghjZV8hSub5KVS+QlgLjEs9HqKIQAKIPEPBZAQQhorbgHMJoQUwMhBASR+oQASQkhjJa4CyKZiCiDxDQWQEEIaK7kEsFQCRwEMBAog8QsFkBBCkk4+NXsUwFhBASR+oQASQkgSKYfMRUEAG2n/QAog8QsFkBBCkggFMNFQAIlfKICEEJIUoiRjFMCSQgFMDo+ISI2I7BKRz0Vkkoic0cA1zUQT3/mqLfC+FEBCCEkKUZIxCmBJoQAmh5miQne2iPxIRKaJyEcickyOa5qJyA4ROdnxOqnA+1IACSEkrvgdxEEBjC0UwOTy76IJe2GOc5qJyHaf96EAEkJIXKEAUgApgInjdNGE/a8c5zQTkZRoTeF6EZksWoOYi6NEM4t5nSIUQEIIiScUQAogBTBRHCkiU0WksoHzzhORv4rIj0XklyIyRbRJ+NQc17ST+v0GKYCEEBJHKIAUQApgougnImtF5JsFXvcFEXlPRDrmOIc1gIQQkhQogBRACmBieE60OffbRV7/soi8VMD57ANICCFxIpf8REnGKIAlhQKYHI4Qlb9PROR7RX5HExF5S0S6F3ANBZAQQuIEBZACCApgkugrOqL3l5I5rcvRjnNeFJGnHO/biMhvROQ7IvIT0Zq/fSJyVgH3pQASQkicoABSAEEBTBL1BmakX80c51SIyFDH+x6iI4D3i8gG0bkDzynwvhRAQgiJExRACiAogMQ/FEBCCIkTFEAKICiAxD8UQEIIiRMUQAogKIDEPxRAQgiJExRACiAogMQ/FEBCCIkTFEAKICiAxD8UQEIIiRMUQAogKIDEPxRAQgiJExRACiAogMQ/FEBCCIkTFEAKICiAxD8UQEIIiRMUQAogKIDEPxRAQgiJExRACiAogMQ/FEBCEoizfGxEZWLjgAJIAQQFkPiHAkhIAmH5mDDykaSoyRgFsKRQAIlfKICExBi/ZS+JCRRACqALCiDxCwWQkBhDAWwkUAApgC4ogMQvFEBCYgwFsJFAAaQAuqAAEr9QAAmJMRTARgIFkALoggJI/EIBJCTi5BrRSwFsJFAAKYAuKIDELxRAQiIOBZBQACmAbiiAxC8UQEIiSLnKexITKIAUQBcUQOIXCiAhEYQCSDKgAFIAXVAAiV8ogIREEAogyYACSAF0QQEkfqEAEhJBKIAkAwogBdAFBZD4hQJISAShAJIMKIAUQBcUQOIXCiAhEYQCSDKgAFIAXVAAiV8ogIREhDDKXhITKIAUQBcUQOIXCiAhEYECSDKIu4xRAEsKBZD4hQJISESgAJIM4i5jFMCSQgEkfqEAEhIRKIAkg7jLGAWwpFAAiV8ogIREBAogySDuMkYBLCkUQOIXCiAhIeEsw8Iqe0mEibuMUQBLCgWQ+IUCSEhIUABJTuIuYxTAkkIBJH6hABISEhRAkpO4yxgFsKRQAIlfKICEhEQUBNAdBhIhyp0h9u0rj8BRAAOBAkj8QgEkJCQogCQn5cgQu3bZ++4XBTDSUACJXyiAhJSRXOUWBZBkEHSGWLIEGDgQ6NQJuOgi4J579Fg2Ady7lwIYYSiAxC8UQELKCAWQ5I3fDLFvn26rqoAuXYATTgBEgDPPBF580T7vhReA73xHPzvpJGDmTD3+2WcUwAhDASR+oQASUmLyKd8ogKQefjPEO+/Y+xUVwC23AI88AlRX22I4ZQrw8MPA9dcDp5yiEnjjjfr59OnAvHkUwIhCASR+oQASUmIogKQo/GSIykrdLl0KjBljn+N+ub9rzhzg0ktVDi0L+OEPgdatgdpaCmDEoAASv1AACSkxFEBSFMVmiFdesY/98Y/AQw8Bn35qH9u8ueEMMWeObu+9V2sFr7pKaxEpgJGBAkj8QgEkpMRQAElRFJMhZs/WWj/LAh59FBg1qvgMYVlak3jUUcC//AvQogUwa5bdt5ACGCoUQOIXCiAhJYYCSIqi0MStqgKWL9f9QYPyG8SRK0O89ppup08Hxo+3j5tBIhTAUKEAEr9QAAkpAeWQOQpgwikkcRcssI89+6zKoN8M8dFH9r5lAQsX2vsdOuhgEgpgaFAAiV8ogISUAAog8U2+iWsGfCxfDjz4ILBoUTAZYudOe//991X4Bg7U93PmAH/6k55DAQwFCiDxCwWQkICIUjlIAUwA+STuli26ra4G/vznzMEepcqERjAHDNCpZdasiU7Gb0SZmAJI/EIBJCQgKIAkUPJJXDNdy0MPAatWlScT7txp9zV0v7JNF0MBDBwKIPELBZCQgKAAkkBpKHHNhM7TpwPNm5e/P96SJcDIkUCfPvaSchs2lD/jO6WzEWViCiDxCwWQkICgAJJAyVcAL7lEB4GEMSBj82bgV79SAbUsnYKmpqZ096yp0ee+5x7grLOA554D3nuvUWZiCiDxCwWQkICgAJJAyZW4pum3e3cd+FGKDJHvNbW1wDXXAKNH67GBA4Fly4AdO+zzglhJZO5c3Z87F7j6auD447UG0pzTyDIxBZD4hQJISEBQAEmgZEvcvXvt2r8LL7RlMOwpWTp3tsM1fHimmG3c6O+eAwZkfp9lqWS6jzWiTEwBJH6hABJSJG55ogCSQMmWuOvX63bsWGDixGhlQudcgdXVwPz5uv/PfxZ3z+pq4IYbgDZtbLH88ENg5Up9P21a5oCUgwfDTrWyQQEkfqEAElIkFEBSUrIl7uzZum3btv4AiLAz4d69wOLFQLduwLe+BXz5y5mTVBdyz1WrgPPPB044wV7erqbGbna+917gxBOBnj0zr28kUACJXyiAhBQJBZCUlGyJO2uWbtu3L22G8HPN8uVAp066hvC11+qx+fOByZPrf5fz+h07VPIWLgTOOAMQAW69NVMgzT3vuEM/v+oq+7N9+8JOtbJBAUwOj4hIjYjsEpHPRWSSiJyRx3VXi8jbIlIrIm+IyMUF3pcCSEgBZCsfo1T2UgATglfimibVqipg3LjoZ8LRo4H//V9gyhQ9duutKq6m/54Z1Tt0KPCPf9jnWZYO9rj2WruPo/ueAwaoAH7jG/bI4927w061skEBTA4zRaSZiJwtIj8SkWki8pGIHJPjmvNEJCUiD4jIf4pIBxE5ICL/VcB9KYCEFAAFkJQNr8Tt31+3I0bEKxN6DdgwA0Y6dFCRa9VK38+aZY8oNq/XXqt/z8pKoEkTvdb0A9y5M+xUKxsUwOTy76IJe2GOc8aIyFTXsSoR6V/AfSiAhBQABZCUDa/E7ddPt4MGxSsTOvsqLlmisveHP9ji9uyz9uevvKI1eqtX28fMwBf3Pc8+WwWwokLfm6XxGkGGpgAml9NFEzZXbd46EbnXday9iLye45qjRDOLeZ0iFEBC8ibJAuj+jIRArgSdPNmeC88MBIljJnTKoHN6GMvSEb5mf+9ee3/PHu973nCDCuDkyfp+06ZGk4kpgMnkSNGavcoGzjsgIte5jrUQkY05rmknmmEyXhRAQvKDAkhKSq4Ebd1a9xcvTlYmXLfOfr9vX2H3fOYZFcDBg/W9cym6hGdiCmAy6Scia0Xkmw2c5yWAd4rIhhzXsAaQkALJp3yLa9lLAYwY2RKktha47z7dN7WAScmEBw8Wf89Zs1QAu3TR959+2mgyMQUweTwnIutF5Nt5nFtME7Ab9gEkpAEogKRsZEuQVauAvn11//33G0cmzPea734XaNdO9z/+uNFkYgpgcjhCVP4+EZHv5XnNGBGZ4jq2VDgIhBDfxLEcpAAmgGwJMnCgPRnyzp2NIxPme82NN9rrIX/0UaPJxBTA5NBXRLaLyC9F5GTH62jHOS+KyFOO9+eLTgPzDxE5U7R/H6eBISQA4lgOOj9zdqVy9rmnAEacbAny+OO6XbCguARNsgD26we0aKH7zkEkCc/EFMDkUG9gRvrVzHFOhYgMdV13tYi8IyL7RWSVcCJoQgIhjuWg87M1a+z9tWspgLEhW4K0bavbadPikwnLdc8lS4BmzXTf2Tye8ExMASR+oQAS4kFcysEDB+z3zoqhbC8KYMTxSpBZs4CRI3V/0aLoZcKw77lmDfDnP9v7jSQTUwCJXyiAhHgQl3LQWbvnXCxhxQpvAXRK4sGDFMDI4ZUgPXpkt/goZMKw77ltG3DJJbq/alWjycQUQOIXCiAhHsShHNy3L7voff65vf/WW/b+ypX2/qZNFMDI4ZUg7dvrdtq06GXCqNzzt7/V/VdfbTSZmAJI/EIBJASZ5UnUy8GqKl0SduxYPTZkCHDccUDTpjoY8tprgZYtgZ49tcVw925vSfzgAwpg5PBKkO7ddfvyy9HJhFG75+9/r/tmfeFGkIkpgMQvFEBCEA8BrKgAOncGTjoJ+MpXgMpKPf7zn+tcuF6v44/XRRJqavTc7dvt733rLQpg5HAnyKJFwNSp+t5r+bcoylgY9/zDH3R/2bJGk4kpgMQvFEBCEG0B3LQJmDNHVwC7+mrgiCPsac8WLABGjAAmTVKhGz8eeOIJ4KabgJNPtkXwvPOAV17J/N6VK7MvwpDwsjO6uDOBWeLMzAEYBxkL455XXqn7VVWNJhNTAIlfKICEILoCOHQoMH26fdyygBkz7Bq9rVuzf3dVFXDnncBRR6kEfvnLmX0ALSv70qsJLzujizsT9Oql++PHx0fGwrjnDTfoPpuACckbCiAhiJ4A7tgB3HKL3fo3aRIwenTmoI8338xvGdU33gDOPtuuCXSWkZnRUxMAACAASURBVNu2UQAjhTsTDRpEAcznmr//3X7fSDIxBZD4hQJIGi25+r+FWQ7OmKEDOmbM0PezZwMLF+q+cxWwbdvyv+fUqVoDKAI88oj92YYNFMBI4UzQ3bu146dlZZp/1GUsjHveey8FkJACoQCSRksUBXDoUOCrX9VRvJal/f727Anmnv/4hwrgscfq2ALLyr1KCAkBZ4KaAQ3z5gF798ZHxsK4Z7t2+p+FAkhI3lAASaMlagI4fjzwxS/qKN9S9Plfvhw491yVwIcf1mNvv00BjBTOBDXTvgwbFi8ZC+OePXsCM2dSAAkpAAogabRESQBHjgSaNFE569s3sxwL8p7LlwNHHql9Ai0LeP11CmCkcCbokCG6HTgwXjIWxj1ffBGYMIECSEgBUABJoyUqAtimjU7tIgI0b26P8C3VPa++GjjmmMx7UAAjgjNBzQCQIUPiJWNh3HPKFJ0PybLs/0AJz8QUQOIXCiBptERBAFu3tufqu+UWu+xyrmkf9D0HD9b7uVvMKIARwJmgL72k23Hj4iVjYdyzshIYMEDfmxnSE56JKYDELxRA0mgJWwDHjtXmWBHg7ruBjRvtz5yjfYMue6urdSWRPn0ogJHDJGhFBTB3ru4vXBgvGQvrnmbORLNiSsIzMQWQ+IUCSBotYQpg//72BM2XXQZ88kl2GStF2funPwH3308BjBwmQYcNK2+GSIIAduum21deaRSZmAJI/EIBJI2KfMqaUpeDI0ZoHzwR4KKLMidmLlfZ27OnvXqWaXamAEYAk6Bduuh2/vx4ylgY9zRxNm5co8jEFEDiFwogaVSELYAffKDz/IkA//d/OirXfPbpp+Ure5csAX7xC903U85QAEPAmYDOBG3bVremNituMhbGPZ95Rrem72TCMzEFkPiFAkgaFWEKYGUlcM45Kn8//CHwz3/a52zeXP6y9y9/0S1rAEMkmwC2bq3biRPjKWNh3NPUAI4c2SgyMQWQ+IUCSBoVYQlgdbXW+IkAZ5xhL/IQZtk7bJg9zoACGBLZBLB9e92axaDjJmNh3LN7d90OH94oMjEFkPiFAkgSTznKtIauuflmlb/jjrNnqXBOwhxG2fv55/ZUc7NmUQBDwUsAFy4Enn1Wj5k1++ImY2Hcs3dv3Zr5ABOeiSmAxC8UQJJ4whbAsWPtuf6cc+/t3h1+2WumghkyhAIYCl4COGyYrgtojsdRxsK4p5kHkH0ACckLCiBJPGEK4IQJWusnAjz+ePYyPayyd8wY3XevNpbwsjM6eAlgu3b1+wgEmSGcieu+f7awxUEAX3xRt2YN5YRnYgog8QsFkCSesARw8WLgu99V+fvlL3Mv8RaWAJoRwJMmUQBDwUsAW7TQ984h4sVkiHxFL5+wxUEAjfhNntwoMjEFkPiFAkgSTxgCWFsL/O53Kn9Nm9oVOqtWRUsAN2/W/epqYN06CmDZ8RLAv/1N3y9eTAEs5JoZM3Q7a5b+tZXwTEwBJH6hAJLEE4YA9u6tkzwPHWofsyxgx45oCWAqZa+cZbYUwDLiJYB//au+dzYDUwAbvmbJEt0uXqxL6SU8E1MAiV8ogCTxlFsAR40CrrrK/mzFivKWg4VebwZNmi0FsIy4xWzHDuCOO/T9m29SAAu9xrwmTkx8JqYAEr9QAEniKacALlwIXHihXRlRUwPs2RNtAXzhBX0/eDAFsOy4xay6GujYUd9//HFwAug3bHETwKFDE5+JKYDELxRAkkjCKJMOHgQuv1xH/lqW3YIXRjlYyPVm8OTo0RTAsuMWtmHDbBP//PPCE7RUYYuLAFZV6bZ378RnYgog8QsFkCSSMMqkQYOAp5/W99XV4ZaDhVw/bZq+X7TILj8TXnZGB7cAPvywDmKwLGD7dgpgodeYibOffjrxmZgCSPxCASSJpNxl0ttv2333ly8Htm2LjwBWV9tN1qb2MuFlZ3RwC+CNN9rv9+6lABZ6zfz5um3bNvGZmAJI/EIBJImknGVSVZUO+jBNvtXV4ZeDhV4/dqxuBw6kAJYVtwBecYXuL11aXIKWKmxxEUCzuPVDDyU+E1MAiV8ogCSRlLNMuv12YMoU3TdTt4VdDhZ6vRkI0rcvBbCsuAXwssvsjBSG9GULW9wE8B//SHwmpgASv1AASSJwl6PlKpMGDAB69tT3ZlWNKJSDhV5vav7MvIUJLzujgzMBd+8GrrvOzkwUwMKvMU3ALVsmPhNTAIlfKIAkEYQhgBs2aEWDZWkz8K5d0SkHC73ejACePp0CWFacCbh6tTZdWpbOH0QBLPwaUwV/112Jz8QUQOIXCiBJBOUWwJoaoEcP+/i6ddEqBwu9fuFC+/i8eeVzjEaPMwFnzNAq5UITsRxhi4sAmvWTKYCENAgFkCSCcgvgyJH2sWnTolcOFnO9mQ5mxAgKYNlwJkD//nYftqgJoPM+YfW3yOeaf/5Tt/fcoxNzJhgKIPELBZAkgnKVSbW1djcjywL69YtmOVjM9WYpuAEDKIBlw5kAbdvq1kwiGYb0FRrmqGX899/X7YMPAlu2hBtPJYYCSPxCASSJoFxlknN51scft1ucolYOFnP98OG6HTgwWr6RaJwJYPr/mb8wKICFX2OWz2vXDnjvvXDjqcRQAIlfKIAkEZSrTLIs7S93+eVavkS1HCzmejOVzbhx0fKNRONMgIcf1q0ZiUMBLPyaTz/V7TPPaE1qgqEAEr9QAEkiKGWZtHmzvT98OHDqqUDnztHuC1/M9a+/rttFi7SpOyq+kWicCdCpk25nzKAAFnvNhg267dNHl9RLMBRA4hcKIEkEpSyTXn1Vt126AF/4AvDHP5ZexsIQQOfydaYlLQq+kWhMAixdqotJWxZQUUEBLPaaTZt0O3QoMGZMuPFUYiiAxC8UQJIISlkmWRYwfrzK3+mn2+vNJ00Aa2vtNYFN38Yo+EaiMQkwcSKwYIHu19RQAIu9ZssW3Y4dq6OqEwwFkPiFAkhiS7YyIIgy6eBB+/3SpcBXvgI0aWILUhIFcP9+u/XxlVei4xuJxiTA88/XN28KYH7XOONj5049NnUq8NRT4cVRGaAAEr9QAElsKaUArl+v+9XVwDnnACLA3XeXV8bCEMAJE3R/2LDo+EaiMQnw7LO6NQNAKIDFCeDu3XpswQKdCibBUACJXyiAJLaUSgCdgz6aN1f5O+88lcGkC+CYMbr/3HPR8Y1EYxKgVy/djh0bfQHMRTkycS4B3LdPjy1fDtx6a3jxUAYogMQvFEASW0olgGbQR9++Kn8nnwzMnl1+GQtDAM2awN26xcM3Yo9JALMEnDFwCmBxAug877rrwouHMkABJH6hAJLYUioBtCwd6NGkCXDEEXa/uMYggOPG6X6XLvHwjdhjEsDU/Dk7X8ZF+pyELYAHD9orqVx+eXjxUAYogMQvFEASW4IUQOe8dytWAKecorV/N90UnoyFcc+pU3W/R4/4uUcsMQlghpYvXUoB9COAqRSwbJkev/TS8OKhDFAAiV8ogCRW5FNWFFOmrF2r25oa4LLLVP5+9COgqqpxCaCZgm7AANtF4uIescQpLMuWZU7ASAEsTgArK/X4JZeEFw9lgAJI/EIBJLGiVAJoXu3bq/ydcIJdGxZHAXSXifleb6agGzsWmDQpXu4RS1IpYOZMjegxYzLnH6IAZn9+CiAFMGFcKCJTRORT0US9vIHzm6bPc79OLuCeFEASK0opgBMnqvyJ2NOhNDYBNPtz5+o8unFyj1iSSmnGsyygd+/8EjTKREEATdX1H/8IHDpU3ucvIxTAZPF7EXlCRK6QwgTw+6LSZ15HFnBPCiCJFUEKoJkxwrJ05O9xx6n83XVXNJpjwxRAy9La0Di5RyxJpey/Np56igKYrwDmur+ZTPsvf9H1DRMKBTC5FCKA/+bjPhRAEiuCFMCPPtJtTQ3ws5+p/P3gB8DevfERwGxx40cAzSDKVq3i5R6xJJWy+xokTQD9/hVSrACaa1q0AD74oDTPGQEogMmlEAFcKyKficgcEflFA9ccJZpZzOsUoQCSGBGkAJrXvfeq/J14oi7EEJUBGWEJoBmQettt8XKPWJJKaXu7Zens2xTA4ATwkUd0m1AogMklHwE8Q0RuE5FzReR8ERksIgdF5Cc5rmknHv0GKYAkLgQtgBMmqPw1aWIvxxpXASw0zrLdc9483TZvHi/3iCUHD+pQc8vSWbjjLoDZCEMAn3wSmDOntM8VIhTA5JKPAHqxUESG5/icNYAk1gQpgNXVwNe+pgLonvg4qQKYq9bQLYB/+1sy3CNyOCN9zx57v6KCAhhkZu/TR4ezJxQKYHIpVgC7iMiyAs5nH0ASK/wKoFkr3rKAG25Q+bv00syJoBu7AC5cqNvmzbV/ZNzdI3I4I337dt3OmQO8+27uxIozYQjg8OE6oWVCoQAml2IFcI6ITCjgfAogiRV+BfC993Q7cqQu83bOOTprRClH5JZqRG8QfuB1T9Miec892j0tSR4SCZyR/sEHuh01SmsDKYDBCeDkyUDnzqV9rhChACaLY0Xkx+kXROS+9P630p8/JSIvOs6/V0QuE5HTReS/RKSniBwSkf8r4J4UQBIr/AqgZWnT75lnAqedZve/pwDWj6f27YERI5LlIZHAGelm5u2+fetngiRFfBgCWFEBPPRQaZ8rRCiAyaKpeE/sPDT9+VARqXCc/6CIvCci+0Rki4gsEJGLCrwnBZBEnqBkzJS1jz4KHHMM8NprwclcuQSwXHFrWTovcdeuyfKQSOCMdPMXiIloCmBwAmhZOpQ9oVAAiV8ogCTyBClj8+bpMm/PPht8f7ykCeDIkcD99yfLQyKBM9LNHIBPPkkBdD9zMXHhFsAbbyzN80QACiDxCwWQRB6/MrZnD7Bsme5feaVKTdAyF7QAlqvszyWAM2boYgpJ8pBI4O6nZllAp06NRwBzjUQKSgDNf/hrrgnuGSIGBZD4hQJIIo9fGVuxwq7RuuUWuymYAphbAKuqgF//OlkeEgm8agDNKiAUwPyuaeg+lZW6veqq4J4hYlAAiV8ogCTy+JGxigp7VOuNN2ZOA0MBzC2AlgX8/OfJ8pBI4Iz0OXN02717sgUwF6UQQLOczRVXlCbMEYACSPxCASSRp1gZq67WacAsS1f5mDOntHPyJUkATS3pT37SeDykbDgj3fx18vzzFMAgntl81+LFur3yymDCGEEogMQvFEASeYqVscces4+9/HJpZS5pArhypW7PPVf7UJIAcQ9UsCxdsYICGJwALlmi22uvBQ4dCiacEYMCSPxCASSRpxgZmzYNeO45fT97dullLmkCuHq1bn/9a2DNmvKEpdHg7qc2e7a9DBwFMJjvWr5ct7feCmzdGkw4IwYFkPiFAkgih7s8KFSsPvtMl3cz5cCuXfEQwLDj2hmeNWt0e8016iZhhzNRmEifNk23L70U7l8BScJdu3r//br8TwKhABK/UABJ5PAjgDU1uobtggX6vqoq2Dn5gr4mbLKF2axQdscd2joZpTDHHhPppl/CwIEUwKBwC2CHDvqjkEAogMQvFEASOfwIYPv2wPjxum/6gUdJAKNWpmcL87p1un3sMbspPYrhjyUm0keO1O2zz1IAg8ItgL16aRN7AqEAEr9QAEnkKFYAJ0wA+vTR96Z7FQUwN9nC/Omnuu3eHWjbNrrhjyUm0ocP1223bhTAoHAL4JAhwJgxYYeqJFAAiV8ogCRyFCOAtbW2qCxdCuzYQQHMh2xh/vxzu/y8/fbohj+WuGsAKYDB4RbA8eOB/v3DDlVJoAASv1AASeQoRgAHDwZmzdL91auDHZHbGAVw61bdTp6sc+lGNfyxxES66avQqxcFMCjcAjhnjq6ykkAogMQvFEASOQoVwAULgN//XvcrK4GDBymA+ZItzDt32vF5wQXRDX8sMZE+c6Zun3+eAhgUbgFcvhx48MGwQ1USKIDELxRAEjkKFcBrrgE6drR/74Oek8/vPH5xKdOd4dy7197/wQ/iEf7YYCJ62TLdchqY4HALoGUBLVqEHaqSQAEkfqEAkshRiACOGAEce2zmoA8KYHE4w1lbq0vpWRZw9tnxCH9sSKXsJeCcNYGMXP84M7GZDPqmm8IOVUmgABK/UABJ5MhXAGtrgR/9CLj44sw/+KMmgHHB/cym/PzpT+3Kqjg+V+RIpWzpmz3bNm1Grn+cmdhk2htvDDtUJYECSPxCASSRI18BnDwZEAH69qUABoH7mWtqdP/SS4Hp0+P7XJEjlbIngTZbRm4weAng9deHHaqSQAEkfqEAksiRjwDW1GjN1Fe/alegUAD9ke2Zb71Vm9rj+lyRI5UCXnxRI3TYsHhnmqjhzMTmh4ECSIgnFEASOfIRwB49tPbvb3/T96tXhy+AcSfbM7dtmzlTCfFJKgUMGqQR+sILycpEYePMxK++qtu//CXsUJUECiDxCwWQRI6GBLCmBjjzTOCII+yuVGblCgpg8WR75v79gXbtkvOcoeMUwMGDk5WJwsaZic1fhTfdlMi4pQASv1AASeRoSAC7dtXavz/9yT6+Zw8F0C+5+lrefXdynjN0Uim76dcsB8fIDQZnJv7wQ922bAls3hx2yAKHAkj8QgEkkSOXAO7bB3z/+8BRRwGLFgUncEmY1Nkv2Z65qkoHUibxmUMhlQLGjtUInTgxuRkqDJyZ+JNPdNumDfDuu2GHLHAogMQvFEASCbLJh1vGpk7V2r9bb7WPUQCDweuZTT/6a65J5jOXDXfkzpih+xUVyc1QYeCM5w0bdNu1q2bkhEEBJH6hAJJIkK8AXnIJcMIJwJIlFMCg8XrmhQt1e/31yXzmsuGuxjZTlLhHLxF/OON582bdPv+8LhSeMCiAxC8UQBIJ8hHAyZN14MdDD+n7N98sjwA6y+W4T/WSC684mzdPt82bJ/OZy4Yzcj/6SLdLlgA7diQ3Q4WBM563bdPtmDHA6NFhhyxwKIDELxRAEgnyEcC//hX4+tftFSq2bi2/ACYZrzibO1e3d93VuOIicJyRa2bYnjAh2VXKYeCM5507dTtjBtCvX9ghCxwKIPELBZBEgoYEsLISOP54HdAXVBMuBTA75vlNE3Dr1tqNqjHGRSA4M9Ts2bodOJACGDTOeN67165pffLJsEMWOBRA4hcKIIkEDQlgmzbA0UfbQkIBLC3m+auqdPvcc1ob2BjjIhCcGeqVV3TbvTsFMGiy/cd/6KGwQxY4FEDiFwogiQS5BPDgQeCMM4Crr7aPUwBLi/P5LQsYP15nLmmMcREIzgidPFm3Tz7JCA0aZzwfPGgPY7/nnrBDFjgUQOIXCiCJBLkEsLJSB39MmEABLBduAVyyRFcEaYxxEQjOCDVTwDzxBCM0aNz/cc1o69tuCztkgUMBJH6hAJLQyHeqlTvuAH7xC31vlvcstQA2dpzxZypRunRh3BSNM0LNHEZPP80IDRq3AC5dqvt//3vYIQscCiDxCwWQhEY+krZvH/DVr2ofNMsC1q6lAJYDZ/zNn88WS9+4q1Srq4E+fRihQZOtBrB587BDFjgUQOIXCiAJjXwkbepU4Dvf0f2aGmDXLgpgOXCvvmJZQKdOjJuicQvglCnsVFkK3AJoqq9vuinskAUOBZD4hQJIQiMfSfvLX4BHH/XXh4/SVzjO+Js0iS2WvjERapok+/XTZeAYocHiFsDXXtP9W24JO2SBQwEkfqEAktBoSNIqK4FvfEO3FMDy4jVotWdPxlPRmAg1M2u3aaNV2ozQYHEL4Dvv6P6dd+qo4ARBASR+oQCS0GhI0p56Cvjb3+zm36AFkGVvdrwGrb7wAuOsaEyEzpqlWzOjOSM0WNwCuH697j/6KLBpU9ihCxQKIPELBZCERkOSdtFFdv+zUtQAsuzNjjP+TA3s+PGMs6IxETpnjm5vu42ZsBS4BXDjRt3v3BlYsybs0AUKBZD4hQJIQiOXpM2fD/z2t5nyRwEsH874W7VKt4sWAQcOhB2ymGIidPFi3f7978yEpcAtgFu26H7fvrqIeIKgABK/UABJaOSStNatgUGD9L1pxQlCAFne5ocz/jZtsve3bAk7ZDHFPQr41luZIUuBWwC3b9f9kSOBmTPDDl2gUACJXyiAJDRyCeD11+v+8uU6FyAFsLw446+21u66tnp12CGLKc4InT1b16ZlhgwetwDu3q37r7wCvPRS2KELFAog8QsFkIRGNknbts2e+mXFiuJG9FIA/eGOv5EjdX/JkrBDFlOcETp4MNC1KzNkOTB/PVZUaDNwgqAAEr9QAEloZJO0CROAceN0f/NmCmAYuONvwADdnzUr7JDFFGeEdugADB/ODFkODh60471Tp7BDEygUQOIXCiAJjWySZmbIqKnR5kcKYPlxx59Zim/ixLBDFlOcq1Lceqv2R2OGLD2HD9sZ+dFHww5NoFAAiV8ogCQ0vCStpga47jq71abYSZ0pgP5wx1/v3ro/ZkzYIYspqZS2n1sW8Ic/2DLIDFl6zHrArVqFHZJAoQASv1AASWh4SdqoUXb/v6qqYASQZWzhZBPAUaPCDllMSaXsZeB+/WtmznJiJrK8666wQxIoFEDiFwogKSsNyVyLFjrhcD61eRTA0uGO8379KIC+OHDAXs7mN79h5iwnRgDvuCPskAQKBZD4hQJIykpDMnfhhXZTMAUwPNxx/sILuj96dNghiylmOpJFi4Arr2TmLCem5vX228MOSaBQAIlfKICkrOSSuTlzgN//Xt+bbjsUwHDINg0MB4EUybZtGoFjxwJ3383MWU5Mf8sWLcIOSaBQAIlfKICkrOSSuXbtgMces4/5EUDiD3ecT5qk+wlbTKF8fP65RmDfvrouLTNr+Xj9dY3ru+8OOySBQgEkfqEAkrKSS+Z+/WutYaIAho87zufP1/3KSn1PCuTTTzUCO3a05wBkZi0Pa9ZoXD/wQKIWs6YAJosLRWSKiHwqmqiX53FNUxF5VUT2i8h7ItKswHtSAElZySZze/cCp5+e2f+PAhge7jg3rWiWpWszkwL56CONvHvvtW2ambU8OOX788/DDk1gUACTxe9F5AkRuULyE8Bvi8geEekmIv8pIneJSEpEflvAPSmApKxkk7lly4CLL9b9VasKF0CWo8HiFefLl9vHSIG8/75G3I03Am+/zYxbTjZt0rju1Qt4552wQxMYFMDkko8APi0iq1zHRovIzALuQwEkZSWbzHXqBLRpo/tr11IAw8YrzufN0+3s2WGHLoa88YZG3sUXAzt3MuOWEzMAZ+hQnVw0IVAAk0s+ArhIRHq6jjUXkR05rjlKNLOY1ylCASRlJJvM/f73wNy5ur95MwUwbLzifOpU3Y4dG3boYoiJzP/9X2bWcrNrl8b9hAnAjBlhhyYwKIDJJR8BXCMij7iOXZy+9ugs17RLf57xogCScuElFkuXAldfbTcF19ZSAMPGK84nTNDtoEFhhy6GmPbzX/2KmbXc7N2rcT93bqJmMqcAJpdiBfCS9LVfynINawBJqHiJRf/+wEsv2QNA8l3XlwJYOrzifOxY3fbpE3boYsahQ3ZkXnwxM2u5OXBA4766OlGZlwKYXErVBOyGfQBJWfESi8cft2sCvcSOAlh+vOJ8zBjddu8eduhihonAqirg2muZWcuNU8Cfeirs0AQGBTC55DsI5A3XsVHCQSAkwniJxYABun35ZQpgFDHxb9Kna9ewQxQzzDJw06YBLVsys4aBWVro8cfDDklgUACTxbEi8uP0CyJyX3r/W+nPnxKRFx3nf1tE9orIMyJypoi0EE4DQyJILoFbuNDuHjVjBgUwipj4N30Au3ZlvBeEGYU6bJjWQDHSys/ixZoGDz4YdkgCgwKYLJqKxwANERma/nyoiFS4rrlIRFaKTgT9vnAiaBJBcgmcWflj8ODsYpftepaj5cHE/7Rpuu3Rg2lQEGYZuO7dgSFDGGlhsGiRpkGrVmGHJDAogMQvFEBScrIJXG2t/Yd5x44UwKhi4t/MA9inj70yCNMgDz7+WCPrsce0mpuRVn6MALZsGXZIAoMCSPxCASQlJ5vAbd2aOTsDBTCamPivqtLt8OH2nI1Mgzx4802NrBYt1JwZaeVnyRIKICEuKICk5GQTOLMi1lNPAZ98QgGMKs74tyxg8mR7ShimQR6YTq633MJICwuzwPh994UdksCgABK/UABJyckmcKb599Zbcw/uoACGi1sAKyp07kamQQOYiJszR7c338xIC4t//pODQAhxQQEkJSebwJl+ZDffnL8AsuwsP24BNLW2TI8GMBG3YIH9lw4jLRzef1/jvm1bnRg6AVAAiV8ogKTkZBNAywImTVKZoABGFy8BfOwxpkeDmIgzc9C1bMlIC4uNG+2R2Bs3hh2aQKAAEr9QAEnJ8RJA0yf7kUeAmTMpgFHGGf8m3e67j+nRIG5zbt2akRYWZsTZwIHa+TgBUACJXyiApOR4CeDChbq95pr60kcBjBbO+DfpduedTI8GcUZcRQXQqxcjLSx27tS4HzNGa2QTAAWQ+IUCSEpOrj6A117bsACScPESQHZnywNnxI0fD4wezUgLiz17NO5nzgSmTw87NIFAASR+oQCSkpNNAIcNAzp0oABGHWf6mZHbnNEkD1Ipu838+ee1FpCRFg7mR2XpUmDkyLBDEwgUQOIXCiApOW4BNBMK33knMHUqBTDqONPPpB1rAPMglQJmzdKI6tKFmTpMnJm4T5+wQxMIFEDiFwogKTnO397aWv0j3LKASy7xlj4KYLRwpt/rr+u2RQumT4OkUjrM3bKAJ59kpg6Tw4ftCbmfeSbs0AQCBZD4hQJISo5TIHbs0G1lJfC3v1EA44Az/cx0avffr8urMn1ykEpp3z/L0rmOSLiY/gvt24cdkkCgABK/UABJyXEKxLp1uu3Rw15NggIYbZzpZ5bs69BBK7eYPjlIpYAJEzTCunULOzTE9MF87LGwQxIIFEDiFwogKTlOR3/9WwAAIABJREFUgTArMl18MbBqFQUwDjjTz8yn26sXMHgw0ycnqRQwZYpGWP/+YYeGmBVZHnoo7JAEAgWQ+IUCSEqOez7cpUuBU0/V/oCUvujjTL8tW3Q7eDDQtSvTKiepFDBvnkbY2LFhh4aYOYweeCDskAQCBZD4hQJISo5bALt1A371K9b6xREzn+748cCjjzKtcnLwoD3woKIi7NAQMyXPgw+GHZJAoAASv1AASclxC+DvfqeDCCiA8WPvXk2jOXOA229nWuXETD68fDnw3nthh4bU1Gh6PPJI2CEJBAog8QsFkJQcpwAuXQoccwwwYgQFMI4cOGA7zdVXM61y8uGHGlmzZgH79oUdGmI6HbdpE3ZIAoECSPxCASQlxymAXbsCX/6yTihMAYwfhw7Z6fTrXzPdcmJmzR4zhpETBYyQP/20ZtyYQwEkfqEAksBxCl8qpV2hzPvf/hb4+c858jfOmJa0889nuuVk+nSNmCFDGDlRYNMmTY9+/YANG8IOjW8ogMQvFEASOG4B3LVL95ct09q/226jAMYZk07nnMN0y8nYsbZwMHLCZ/t2TY+RI4G33go7NL6hABK/UABJ4LgF0Ewe3Ls3IKLlIQUwvpi5HH/2M3teQKabByNHasT06cPIiQK7d2t6TJ2qnZFjDgWQ+IUCSALHLYBm+bBmzYAmTewVmSiA8eSttzSdfvUruzmY6ebBmDEaMc8/z8iJAmbi0UWLgGnTwg6NbyiAxC8UQBI4bgE0g+8uuAD46U+5+kfcefddTacrrwTGjWO6ZWXGDI2Yl15i5EQBZ2fk4cPDDo1vKIDELxRAEjhOATx4EFixQve//nXgnnsofXHngw80zZo3B7p3Zxp6smcPUF2tETN3LiMnChw+bFdZ9+sXdmh8QwEkfqEAksBxCqDpdrN4MXDEEXarGAUwvqxbp2l27736Yhp6YDpKLl6s0sHIiQaVlZou3bqFHRLfUACJXyiAJHCcArh5sz0ThogtDxTA+PLZZ5pmvXoBV1zBNPTETAEzaRIjJ0osWKDp0alT2CHxDQWQ+IUCSALHKYDr1+u2dWvgW99iv78kYNYDXrAA+O//Zhp6MmKE3deMkRMd5s3T9GjbNuyQ+IYCSPxCASSB4xRAM2DguuuASy+lACaBgwd1KTgzFQzT0IMXXrCrvhk50cEIYOvWYYfENxRA4hcKIAkcpwC+8YYtCo8/TgFMAqmUTuptRgKbblVMQweDBmmkDBvGyIkSFRUUQELSUABJ4DgF0LxOPBEYP54CmARSKXswZceO9lQwjT4NnRl/9GjdMnKihflr5fHHww6JbyiAxC8UQBI4bgGcM0cFsKaG0pcEnOn7yivAc89FIz1TSMFK/9uP/XX7KZQpYCZiKivtpsb586MROUQxGbd9+7BD4hsKIPELBZAEglMKnJJnWUD//sBFF7HWLymYtDb9ADt2LG96ZhO9bPtlF0CzBrBl2VWlzOzRYPVqTY/OncMOiW8ogMQvFEASCLkE8IEHgPvuowAmBZPWU6bYM2pQAGFHjFns2tT+MbNHBzMP1bPP6tJwMYYCSPxCASSB4CWApvLjiivsvvAUwPhj0vrFF3VbjibgQqUvVAHs0sVuH2dmjxZbt9qDcz77LOzQ+IICSPxCASSB4CWAZqToz38OVFVRAOOKU75SSNWltZnpZMKE4NOz3j19CmBZ+geaiHnqqcxJoJnZo8OuXZoeEydqc3CMoQASv1AASSDkagK++GKO/I0z2QTQ1ACavoAUQFcN4IwZzOxRY98+TY9584AlS8IOjS8ogMQvFEASCNkEcOpUnXGBAhhfsgngzJl2Jdfy5RTAen0ATRU4M3t0OHBA06O6Wn+cYgwFkPiFAkgCIZsA9uqlokABjC/ZBLC6GujQQfcXLPCfnrkkLTYCuHgx8PLLGikffxzcd5NgOHTI/gEaMSLs0PiCAkj8QgEkgeAWwIULdb9lS2D7dkpfnMkmgJYF3HqrPeC1mLTNR+xKKYCBymAqBbz0kjYtWlbsR5kmlqVLNX0GDAg7JL6gABK/UABJILgF0MyAcfvtmZ9RAONHLgH86191u3gxBRCpFNCjh90mfviwv+8jpWHBAk2jnj3DDokvKIDELxRAEghOKdi9224ifOABCmDcySWAd9xhT/lz4EDh3xekwEVCAE2b+Ny5/r6LlI45czSNnn467JD4ggJI/EIBJIHglIING+xRomPHUgDjTi4BbNPGXl51z57Cvy9KAuhbBlMp4LHH7BHAJJrMnq1p9MQTYYfEFxRA4hcKIAkEpxS8+aZuW7QAPvmEAhh3cgngCy8A48fr/rZthX9f4gTw0UftTpEkmpgawA4dwg6JLyiAxC8UQBIITikw88L97nd6nAIYb3IJ4Lx59kogGzfmeX0AArgMyzAREzELszAXczEf87EQCzEVU1GFKnyMj+vO34iN5RHA2lp7YeTXX/cX6aR0mA7KFEDSyKEAkkBwSoFlARUVwGWXUQCTgFOeDuBAveZ+0+r53nsNX+9HABdhEZ7Ek7gcl+MoHIVLcAkWY3HdeebfEizJeP8qXsVe7C29AL7xBjBqlEbGpk3+Ip2UDtNnoX37WP8oUQCJXyiAJBDcAti1q04AHdPfVuLAKWwbsbHeiO+7707Pe1x1qKjavIb212ItnsSTGIAB6IM+eAJPoDu6130+HMPRCq0wFENRjWpYsDAao3E5LscIjIAFC2uwpu78XdhVGgEcNcpe83Dv3uATggTDihWZS/bF9EeKAkj8QgEkgeCcHNiygCuv1DViY/rbShw4he1DfJhVAOfNO1x3fF/KvwBOxVRcgSvwV/wVy7G8Xk1fDWqwDusyrqlGNYZjOJqjOY7BMfg2vo1lWAYLFiZjMixYWImVdddswZbgBNAIxcKFwMGDwScECYa33rKngaEAkkYMBZAEgpGCmhrdnnWW7sf0t5U4OIiDdWK0GqvrCeBDD5lxD8EI4FIsRUd0xAk4AW3Qpu7zGZiBGtTgE3ySl0BWohJ34k60QAtYsDAf8+uJ5CqsCk4AW7e21z9kxo8uH3+s6TRokE7aHdO0ogASv1AASSA4pWDCBOCii2L9xzVxsA/76sRoBVbgYOpwhgB27mwG//gTwFrU4mW8jMEYjGmYllHT9xk+y0v6vPY/xIeYiZl174dgCOZiboYIBiKAZgDI9OnM+FHGLE308su6TmVM04oCmDzuFJG1IlIrIstF5Gc5zm0mmvjOV22B96MAkkBwCuCDDwL33UcBTAo7sCNDlLandtal9Z79+zFihN31zdQAFyqAUzEVozG6npTVoAZbsdX3NDA7sRPzMR8t0AJH4AichJMwBVP8C6DJ+HPmAMOG6X6Ma5UaBXv2aDrNmmVPVBpDKIDJ4hoR2S8izUXkLBF5XkS2icjXspzfTER2iMjJjtdJBd6TAkgCIZWyC/8LLtBJoCmAyWATNmWI0meHNmYIYGUl8Mor9gIYhQjgVmxFR3Ssq/GrRCW6oVvGNC5BzgM4BmPwPXwPAsExOAZVqMornFmF0Ahg3772GsDM+NFm//70qKVlOpFlTNOKApgslovIc473R4rIJyLycJbzm4nIdp/3pACSQDC/qZYFfOMbdo1QTH9biQNnnzsLFj44tDZDAC0LGDpU37/0UsMCuBM7YcGqG7Fr/k3HdEzAhAZlzO9E0JuwCefhPAgE5+P8uuNv4+3iBbBtW3tRZGb8aHPokP1j1bNnbNOKApgcvigiKRG53HV8mIhMznJNs/Q1H4nI+vR5Zzdwn6NEM4t5nSIUQBIAO3farSqm/x/LwWTwIT7MELU3D6+uJ4D9++v7gQNzC+Ae7Mn4LgsW5mEeJmFSxmelXglkKZbiIlwEgeAu3FVPRvdjf2ECaFYAMVWhzPjR5fBhrf2zLO3AGtO0ogAmh2+IJuR5ruPPiNYMenGeiPxVRH4sIr8UkSmiTcKn5rhPO6nfb5ACSHyzcaPdEmYGQ7IcTAbv4J0MOVpxeAUs63CGAA4YgIytlwBOxmTMwixYsDAKo3AaTkMrtEIFKgoWOL8CaMFCFapwPa6HQPBNfBPzMb/unE/xadZ7ZsigEUAzAGTSJGb8OFBRYadbTNOKApgcsglgFxGpyvM7viAi74lIxxznsAaQBIZz4Mfatbq9/34dBEkBTA5v4I06+XkVr2bI4L6UCqDp8zl4cKYAVqEKEzERf8AfMAADYMHCNEzDH/FHjMVYXwLnVwAtWNiHfbgUl0IgOApH1TVBr8bq/AVw6VLtS+bsBMmMH21mz7ab7mOaVhTA5FBME7AXL4vISwWczz6ApGicArhypT0B9NatFMCkcBiHM6TvLbzlKYDTpml6jxt3GMPfWIl+h/qjK7piOIZnTLlSicq6iZmDELggrq9CFZqiKQSCU3EqalADC1bOJuk6UilgxAhg0aLMYdDM+NFmxgxNpzZtYptWFMBksVxEejveHykiH0v2QSBumojIWyLSvYB7UgBJ0TgFcOlSWwCdA0Ji+ttK0hzAgQzh+wgf1e0vwzLMSc3DbZ+0x9Wf3g3LAiorD+OmTfdnNKeaf0uxFNuwrWCZK7UAWtD1gy/EhRAIBmEQLGgzcF4C+Mwzmf8JmPGjjxHAGK9XSQFMFmYamL+JyH+KyADRaWDM1C4vishTjvPbiMhvROQ7IvIT0Zq/faJTyOQLBZAUjXv9X8sCbr+dAhhXvAY97MZuWLDwOl4HAGzGZliwMA7jcDSOhqT/HXXoS3Y+OPAaLFiYjdkYhVEZ08gUI3O5rnHKWK5BG/nc83N8ju/j+7gSV8KCldH0nVMA27e3J4Bmxo8HM2eyCZhEjrtER/XuF60R/LnjswoRGep438Nx7gYRmSYi5xR4PwogKRr38m9Tp+ogEApgfGhIrLZiKyxo0+9beAvN0AwWtCm3CZrg3w//O27e0Qqz9i+A9bo2B1ese0/nCgyoNq9cArgf+zEd0/FdfLduyTgzOjinAD75pGZ2U6vEjB99FizQdGrfPrZpRQEkfqEAkqIxAmj6Uz/3HFBZSQGMEw2J1QZsgAULUzAFTdAER+AILMRCWNBRvWsOvVt3TfWbu2FZQKtWh32tBZxTuJBd9PIVwGzXmHsOxVD0R39YsPAsns0dnv377TlwLKsEKURKQnU1RwGTRg8FkBSNEcAxY3TbqROlL240JGNmQMRduAsCwaW4FCuwou4857/FSw7CsoC777anh3FPCVNKAcz3ORsSQAsWXsErsGDhRbyITuiUPTw1NfaUItu3B5ImpAy8+66m2TPPAPv2hR2aoqAAEr9QAEnRuAWwa1cKYNzIJWPVqMZLeAkWLFyJK9EDPQAgYyDIaqyu23/jzRQsC3jgAWDz9ngLYC1q65p/z8AZWImV3vd8/nl9yEWLgIMH/ScIKQ+ff27PXP7BB2GHpigogMQvFEBSNGb9X9MEzPV/40eu+fEuw2UYhVGwYGE0Rtdd45wepRa1dfsff6Y1gN26AXPmHyhYAPNtzvX7nPkIYAqpjClvlmFZXW2o87zDnZ/Sh5wwgRk/Tmzfbk/cvWhR2KEpCgog8QsFkBRNKgVMnGh3f1qyhAIYN7wEqAY1uAf3QCB1q3Tsxd6c11iw8PlWlb5Ro4COnQ76EsBSPme+ArgFW+qkz/yrQQ32YZ++O1yDw88+qw85eTIzfpzYs8f+0XrppbBDUxQUQOIXCiApmlQK6N7dXgOYAz/ih5cA3YE7IBAci2MLkqZtu1QAFywALv3joawCmO3+pRTAbOQSQPPZC3gB38A3MBVTVXRTOsL5jXcm2Ct/LF3KjB8nDhywf7B69gw7NEVBASR+oQCSgnDO/bd/v86jaqaAoQDGD6cAbcVW9EM/fA/fg0DQAR1gwcJKrMx6jVOa9uzfXzcl0LnnHq7bzyWAYZOPAFqw8CSexN24O13zl27yHvEMq77jSiplr97Srl3YoSkKCiDxCwWQFIRTAGtrdR5VXQGCAhhVctWymYmenf8qUIH2aF/3/k28mfX7MvoNpvZj+XLUjQSeNCn6ApgL53PWohZX4SpYsLD08FJUohK7uqYngDb9IJjx40MqBcyZo+n20ENhh6YoKIDELxRAUhBOAXztNWDAAN1fv54CGFVyCeCH+LDus6mYihmYAQsW1mBN3fF38W7W73MLoMkDM2YATzyRrilOhdvMWyzu55yFWRiHcbBgoSM6ItWrB2BZ2FwxXp8ttT/sIJN8SaXs1UBatQo7NEVBASR+oQCSgnAK4DPP2F2gzKA6CmA0yGegxSEcwqt4FRYsnIfzIBA8jsfrDXz4CB/l9d1GABcv1nzw4IPJEkALVp0A9jncB/vm68ofaz5bRAGMG6mUPX3B/feHHZqioAASv1AASUE4BfDKK3VbXa1zqVIAo0M+c+2ZtW6nYRq+gC/gBbxQrznYgoXP8Fle320EcMIEzQe9e8c7P2R7TgsWqg8vx4HXLByuWoYVhywKYNxIpewJvB97DDh0KOwQFQwFkPiFAkgKwghgZSVw/fX2Ppd/ixYNCWAHdKhb5qwVWqE3emec9zper9vfgi1Zv9tZo7c/lcoYEb5kifazj2t+yBaHqw6rOG9YZ+GNFS/WTRhNAYwRqRTqOqz26AF89lnD10QMCiDxCwWQFIQRwN69gX79dL+mJr6FfFLJJi+f4lP8Fr/FiTgRVaiCBQuzMKveeZuxuW5/F3Zl/e6M6WEctcPjx+t23Lj45o1scfjJoY9hwcKbeyx0+vhOtEKr2DVvN3qcmXXkSP0RixkUQOIXCiApCPO7edNNQFUVa/2iREO1ft3QDSfhJAgEN+AGlRi82WBT8UEczHqfbAL4THqGlOnT45s3sk53s2kdVqS0n+TIg8NwHI7DKIyiAMYJZ2adPVuHrMcMCiDxCwWQFIT53WzeHHWT/lIAo0E2YdmIjeiMzngID+GH+CG+jW9jMRZrMyY2NCiA+U7e7CxTn33W/gNhz55yx0QwZHvOQ6NGYPsaq04Ch2EYfoQfYSd2hhhaUhDOzGpZQJ8+YYeoYCiAxC8UQFIQqZRO+tytW+b8fxTA8PESwOmYjoVYWHfcglXXZ20FVmSs5ZuvAGa9v6NMrawEBg7U/Y0bS/zgJSKrALZtA1gWtlXNworDK2DBwniMR0u0DDG0pCBMZjV/pXToEHaICoYCSPxCASQFkUrp5M/OiZ8pgOUj15x+zs92YEeG+I3HeMzGbKzAirpj7+LdvEYLFyOAu3YBDz+s+ytXNnxtFPGM6/37cbhdO53/r3omdqa2YwmWwIKFa3ANeqJnQXFGQsJkVtOE8cADYYeoYCiAxC8UQFIQqRTQsqX+Zi5cSAEsN/kI4CRMQh/0qdt/HI+jAhWwYGWs/OEe3JHvfbJe41om8J57dH/uXF+PHC1mz9aRLZaFd7dWY39qX108jcEYnIgTMRuzKYBRx2RWMxdgy/jV3lIAiV8ogKQgamuBp57S38xlyyiA5aYhAWyHdvglflnX1Oue3iXfmr0gBNAsE7hwIXD4sJ+njhD33w9YFg7X1GDlQatOAM3k2T/AD3ABLqg3cIZEDLcA3nNP2CEqGAog8QsFkBTE4sV2q8nmzRTAcpDPqh57sRfN0RxH4ShMwiRYsOqagMMSwNGj7anWdiZhfMThw8A11wCWhdplWqPqrAG0YKEd2kEg6Iu+YYeW5MLdBPyPf8TurxQKIPELBZAURJcu9u9mbS0FsBw0JIAf4kP8BD+BQHA37oYFC6/hNV99+4IQwJoae1WQ+fMDiYpwee017StmWdj4fpWnAFahCsfiWByNo/E23g47xKQhzCLmTzwBbN0admgKggJI/EIBJHlz+DDwyCP6ezllClf/KBe5BmrMxVzcglvwBJ6oq/mzYGETNoUugJYFDBum2+7dE5BPOnQARo0CLAvvbbXqCaBZWu9+3A+B4Fyci2VYVlAckjKzZYtmzAEDtMo6RhmUAkj8QgEkefP66zpdlmUBS5dSAMuFlwCaPmfZ/mWTvnIL4OjR9mpbsc4nqRTw3/+tC19bFl47UF8AP8EnsGBhGZbhBJwAgaA5mlMAo8zOnZoxJ04EevWKVQalABK/UABJ3rRrlznylwJYOrLV+n2EjzJEbwqm4GW8jHVYh63Y2qDo5St2QQngokW6HTMGmDw5xvlk3Trgggt0AMjKlXY8OwRwL/ZmpItAcASOwEAMpABGFdOPpbISeOyxWGVQCiDxCwWQ5MRZqF98ceboXwpg6cgmgObfbbgNJ+NkDMEQz2vCEA4vATSvqirtPhDbfNKtmz3/0Ycfep7ijH8LFvqj//9v77zj4yrudv9LuXATuKTAGxIIyc0NLzdwISThpYQSCIQESCgOPUASSEJeaiAxoQQcAwaC6cEEU4wNLrjEDfcmy7KssjurbsnqttUlq5ctOrvP/WN295xd7a5XXq20Kz9ffeajs+fMOTPnzJyZ50z5DT6Lz+Jr+Bo60Tm+8SXx4fWamfS++9Iqg1IAkkShACQxCVTqy5cDN9wQajyfAnBsiSb6rLb78pCHa3EtTsSJUFBRz08lAZiTo//feqv2Y/WXNvnmzDPNAY3t7RG9hAtABYXFWIwTcAJuw23jHGESN4EM+vvfp1GGpAAkiUMBSGISqKzvv1+PgefqH8kjmgAshO5y3ImduMD/l4GMmCuBTHSXo1Xk2e36//XX63WB004AFhQAn/+8+eUzNBTRm/X5H8CBYLrNwRwIBB/j43GOOImLnTt1ut55Z5pkSA0FIEkUCkASk0BlfdppwKpVFIDJxCogAmv0BiZ7LMESfBvfxjRMC67lmy4CsL5e///zn4GNG9NQAD74IHDhhQeNdPjzH8Rg8Pc5OAdH42isxdoJTxsSRqAF8He/S5MMqaEAJIlCAUhiYhjA2rXAsceGir+0qbxTmHDBYP1di9rg9pN4Ev+B/8A/8c+Ys3hTSQBaaWvT+eXtt4G7704zAeh268wfWP5mFALQ+nsxFkMg+AF+ABdc43wTJCYFBTpd77kHGE6fFVwoAEmiUACSmBgG8PDDwI9/rMvIsrI0qrxTnGiCIdDql498XItr8X18H6uxekTXcLoIwIClja1bgS98ARgYSJM8ZBjAzJnAMcfEte5hLAGooHARLoJA8Df8bZxvhMRk716dro8/DtTVTXRs4oYCkCQKBSCJidsNnHRS6ATItKi804BwweCEE3nIC072uByX4xpcg170xiXsUlUAejzmOMCvfCVoSzn185BhaNMvN90UV9P3wQTgZmwOmoaZhVkpl06HLa2tprXylSsnOjZxQwFIEoUCkMRk+XJAJHQCZFpU3mlAtC7fHOTgUlyKJ/HkQVv90gFrl+8llwA/+1ma5KHGRuAznwHmz09YADrggILCw3gYAsGX8CVswIa0TM9JR2A1kPnzgb//faJjEzcUgCRRKABJTC64ADjiCCA/X5eRg4NpUnmnKAez7zcXc3EZLkMOciL6S0fBYBWAubnAtGnA5s1pkIeefRb4z//UEXU4EhKA9aiHgoINNtyBOzgeMJWwjlG47rq0KeAoAEmiUACSqOTn69a/H/xAl4dFRXqMdJqUjymJVRS0oz24PQ3T8B18B+fhPGzF1kNavi1VsQrAcNMwKWtLsrsb+NKX9NRlpYCqqoQi6oS5YoiCwgf4AKfjdDyEh9I6bScFHo85xvPuu1M0Q46EApAkCgUgARB5ZuZNN2kBOHOm3l9dnWYzOFOQSMaCA92CT+AJ5CN/0okBa55ZsAB4/XVTBAZW4kq5/PTEE8BnPwtkZOjIdXUldLlI3cE5yME38U3MwIxJl+ZphWGYtgC3bAG2b0/BDDkSCkCSKBSABMBIYVdfD3z608DxxwM2m97f1kYBmCgBIZCJTChoI8FfxBexEitTdhJHoljzTGcncNRRwKZN+ndHRwrmp5YWbfj5Jz8xI5egeRBr2lpXdpmJmTgSR2IhFk6qNE8rAhl05Ur9f926FMuQkaEAJIlCAUgAjBR2Dz2kW/8WLhyzOvCwxVr596Mfi7AICgpbsAUX4AKsxuoRY8YmkxgIz1u33qptK49Bz2pyuO8+PV050BI0BpGLNPYzYO7nTJyJE3ACWtAyNvEnoyOQQf/4R/0/MOA5ZTJkZCgASaJQABIAoZX0gQPA0UcDv/gFDT+PBYHKfxM2YQmWIGDm5Tk8FzIJ4HARgNu2Ad/6VooaFq+t1a1/c+eOaeRiTf5ZgAUQCM7DeRhC5GXmSBIJZNA//AF4880Uy5DRoQAkiUIBSACEVtIvvggcdxywY0cKVtBpiAEDczEXn+CTYPfvO3hnUom8WIQLQMMAzjprzDXW2HD77cCjj+oIFRYmXQAGxgP+HD+HQDAFUyblONCUJpBBX3oJ+Pa3zTEvAwMTHbOYUACSRKEAJADMMjAvD/j614FXXtG/d+9OsQo6TQhU+DnIwfN4HhnIgILCeqwPCsHDpYKPJADfew+YMsU0DZMSM4JLSsxmb7tdT/xIcoQa0AAFhWxk42ScDIHgV/jVYZU/JpxABl29Wo97eest/bsltbvkKQBJoqSEAOTEgonB+twDle+MGcBPf2qaPuvvZ9ocCgYMLMESXItrkYUsKCiswip0onNSdvPGIpIAVAq4+GIgO3tkHhzXvGaN3O9/b0aoqWlcCqbw7uC1WIun8BQew2OHTf6YcALpbLfrZf9+8xtzgGoKQwFIEoUC8DAmXADa7cDZZ2tLCONYB046vPDiNbyGH+FHyEZ2cMLHZLDpdyhEE4Dz5gFPP623MzMnWADOm6dbgAJdvz7fuGT+SOZhFBSWYRlexauHXV6ZEKzpfOGFwKmn6u2CAp0PUhQKQJIo4yoAo5WnFBkTQ7gAnD0beP55/bu4GPB6mTajwYCBDdiA83AebsNtyEUuFBRKUHJYV+TRBKBSwD33mNs1NRMkAO12LQCV0jNUAtPdx1kAeuBBF7qCJoLexJuYiqmH7YfDuGFN53vv1fa/wve3AAAgAElEQVSvAi3B/f0THbuoUACSREmKAByt0ItVQVAoJo9wAXjvvXrbZjPHP/OZx4cPPszHfHwD38DreD1YWdthxzAOb/s5sfJQfr5efCFgeWPcu4MNw7T/tmuXngU8jkRaPs4Oe/DjYSqm4iE8RAGYTKwZ9J139DjA997Tv5ubJzp2UaEAJImSGgLQbZj73UbEsWkHqxQoGuMj2rNduRLYuFFvFxVF9s/nF0qg8l6DNbgCV+B7+B42YEPImC5W2LExDODXvwa++12zB1YpoKdnnPJde7s56/ONN5IYUGSirR8csBEYMBOzFVuD+6zLyjFvjQHWQi4vTwvAO+7QvysrJzp2UaEAJImSdAEYIuCcxkG34xWA4WJwtOeEh5nofaaLOIr0nLZsAf71L729aZNeGjOS/3S5x2QSvqLDw3gYn8PncCNuRB7ygpV3L3pZSceBYeg69/TTgc99DvjgA53Xysvj6xU45ECV0l2/gQGvzz8PtLaOyT2NKioxbD82onHEx4SCQiUqmbeShdOplwD85jdDm6RTsPCjACSJQgE4RmFOdPkQLf6xWkoDEz/+9jf9OydHO7agRidQYc/GbJyG03AUjsI0TBtRSbPLLj6sFjiOOUYvPRgwCzOm71qkF2TBAv1//Xrd9TcBGTyWABzGMBT0coE/xA9xGS5DDnKYz5LNxRfrVsDA+sAHy3QTVEhSAJJEmTgBOOiOuJ2uAjDec6I9p2iiK5lhut3Aa6/poU9Kpc0SmONCtIq5AhX4HX6HaZiGpVgKG2xBf81oZmU8Sqz5cdEiXe/eeafZQHewfB81r8YaWOx2A/Pnm12/L788YRk/lgC0HstGNo7FsbgYFwcNRdthRx/6mOfGmsWLdUZ88cW4hJ1hWES44R63aFIAkkRJjgB0H7ylL6YAdB/cX9znRAnfOei01Afu+OJsFY1GjPuMo9Uz5vmxzhll62osAVhYCCxbFir+JqMAPJQl1sLPaUEL7sE9+AF+MKIVRkGhG91JvovJSXh+vvNO4H/8D3Nehs2mJ+WO+mMnXAAOD5u/8/PNAa/z5oUqzRQiPA+2ohVX4kpcjasjdg33oz/qiiMUh6PA7dZN0VddFbcA3D2osHuQApCkF8kXgHEIuKQKwCjbMQVgFH/W7UMJM2ac4xDKcYcZR/f6ypXA9Ol6e9s2oLcXIf6i1rBjOdsm3nPi8RfDT1QBGOOcQPfbeqzHfbgPR+JIfBVfxSZsgoLCDuxAh6d1Qr78JxORPmgeeUSbYwsIwMDxgHO5Di4GQ/J9V0/okjZ+592wCUZnz0Q/gqhEyrc++PAG3sA1uAZzMTc4W1hB2xG0jht0wRUx38fb6jheojEl18B+8km9HqY100XBcA7A61DwOhQM5/gtH0cBSBJlXAVgNDE1XgLQGubg4CCU8kGVuCZMALrdlnCcUQRcgs8m0vlr1gDXXGOWbZmZYf6cY9zvPer++bHt9w7ponE7g/4Mtzmb0m1YtuGG3adnXGYhC/+N/8axOBYrsCKkxcXtHowuABMdF3SYDL6MlrRLFxvBntlwV1PtjfyuhL03pcqJLlVjCr68fPhefhm4914M3T8VxZldcU8AS6XkMGBgGZbhXJyLI3AEzsAZeANvjGgRLEBBcLsLXXG1DMYjxsb6WUxEq+VB73P/fm0PMNBF0tQU9Vreulozj2XvNO1IJhkKwMnHfSKyV0RcIpIvIuccxP+NIrLH779URK4aZXhJEYDd3Z6DCqhYAjBEGMVxfvg5WtzFPqdnqAeqvwIKCg3DDQcRgD4o5ZsUAnDPbgNnnGFOfgyMcw65tzEWgNEE2HgJwB7DrPz63N0RBZzbPYgd2IEX8SLW+NaMqEwDJjiKfIXRBWCyhG6iLarJbJ1NkKhRdhv46CO9LOHxxwNHHglcfbVpLzBgp7eva2ReL1TDMGrr4fMf8CkF3/vvA1/+MiAC49bb4Mh1j3zXRjF2NpFHk/C3gcVUzHIsx0k4CQLBFbgC233bR+RdBQXlU1ANLVDKhwFjKLh/yHCZ92UYIbPXreZmrMLMbcQ3LCXquGYjVHxZr+e0lBVOw1KmW8pKt2HEvF74c4oYZ8sxazhua6SvvRa47TZT3LW0hpbRdh9qXl0J37ZtZmRWrcLwF49D6y0PwhhKbq8ABeDk4mYRcYvInSJymoi8KyLdIvKVKP5/KCKGiDwiIqeKyDMi4hGR00cRZlIEYEWFftnsdqCxMVSYOZQXDuUNEWmDg4OoUH1oVE3obBrAgQMHF5DW891uN4aG3NBCDSOuPWK7oh9F3qKQwrHL0xUxnP7Bfi0UXSVoc7aFhBlPq2E0MWq4DfR6eqG6aqBqukIF4NAwqlU3qlTPiK7q0YrjwLbdDsyaNYyjj/Zh1ix9rLDAC1U2CFXkCQ3HaSn4w0SOVcyFC6gijx4HE37OsGHpirK2wLmGUNOlUNupt6PVIrHCHLHtGxlPq2grtGx3ew4g15eLXb5d2OzbjMVYjB3YAQWF9b71uNt7N/6Nf6PUZ67k0evpHDuhmq6tq4mGaSWKGgq8W3Y7sHqlge+d6YOInqAZPktYKb1vycfDyFrWAnd+IXxKoVdVoj6jDkOXXgmIwPepT6H5rr/B2WcRPTEE4AQ3XEc932kpd5xuAzkOF56qn4NTfafiOByH3+K3mIIpuNp7DaY2vood3cVmWTds5n8FhQrvHqgS/TxavG1w+Mzl6Ip9xVCVvbocc7uhHF4oh3eEGAsRcGFxy1MebCxqQZG7DB9U5ODNqo1YZqzAC3gBz+AZLMACLDWWYVH7Zqzt2gWbz44c5CAPeegwOhEs02MIwPAwD7YdSwBaBahn3TpABN5H/hoMrF51QCnAVVSMnguuAq65BkNlCg01WWipzdUfHeecA4jA88prIXEeaygAJxf5IjLL8vvTItIkIo9F8b9ERNaG7csTkdmjCDMpAvD559xY/fFAMPNP/asX/3WhE/dNbUd1aQnqSgvx1DPtuO56A9dfD7w0ox+7bab/gNuV40N2thvLlgFr1wKVlW7Y/a1xzc1O1KpOtKt69Hf2oLBMv8T2wmHUHGiDKhyETRnoG+yDKnZBlfej0d0I1bYPyqsLuaKhIpR2lunCzihEceEAlPJhYMAv2hwGyozS0C/plgYo5dNizOVCudLnhAvNStWLKtWDwQHzvgYHBlCletComtHb32GKEZ9Ck6cZJcqFZtUIX1FR8CF4amuDhaDb7Yazpxd1qgNlajBUqLb1YLejH2WOQTTtHwqJS9bGHix+dy9O+qoLTzyBYMVa1+ufteoqwcCgGU+30wnlU3B4FXrdZuuZYbjh7uvC3jaFqm4Ft2vALCzbmtBXodBVo9DbUqVbHKDQ4N2PYp8W2w6vwoC7BwoKBYaCUVMVvE9vdbWZ8NZBXs3NcA506uv5FHYbJSjyKJS4FA64W4Lh9/W3or5DYW+7Ql93Q4gAVND+S5y6Fc8GGz7BJ6Hpavnb4tuMzpZyeB0KPVUKrsEe8xkM9ptxs8a5tVV3GwV+9/WZ242N5rbVwrG1Vvd4Qmt867W6u+NTGQMDlloxjpbWFBadhtONRtUMpyqFt7YOw20HsGieG/NebodatR9FSn8k5uZ4sXWLz0wS1Y1uVQ2VZb6PObu8eO7eRlx9QSceewzYkekLvgPbM7z46CNgxQqgoUGbQYoUTevjjGcMYjIFYLRtj+HFKtd6/Hnfa/i689sQy98dvl8jr78EqrcSyqdg8xTA7nXo96qjHqp8AOpAnf7dUwXlMj96lLMUBT5/d7JRgJrhemQV9SKzoAc72sqxwLMYD+9/FXe0PILfO+/DPY3P4tKuX+I433Ehcfi689s4v+cKiE/weXwe1+JazMZs2IZKoPb0QTU3BsuNQLm4rtWGj+p34B+Db+DZ3tfwUscHWOBdhGwjFxuLWmBXvhBxN+QK267qgWppQL/bFZKWVtHa3WcKwH5n6Ae286STYRx1DDxPz4ChCuCxF6Lj1XnovvBn2PvcP7C72R5SdhyoUWheX4iGB2ei9Ze34IXKj3FZ1w3I9GSOaR0LUABOJo4Q3Zp3Xdj+D0VkdZRz9ovIQ2H7nhaR4hjhHCk6swTciZIEAZhdkg9lKNibmoIvU0DEKAWoIg9U634orwMbaiugHFrIFNgNFBcNBlulAv7XLB3EpnVuy7X89WpBA5yqBAVFzrBjPqjGJthb63XBogBVYEC17w0WMFXtxahWXVDKh4K6NiijANXdCjtK5mD27k+gFGBzDEN1V6NwWKHugP8V761Ext7dWFI9G60OPZOwyrEUD5Rehvtqr8W0+t8je+9CtO9VaG5U2NOxC7vacpG9X6GmZiu8DgVnqUKRWxccOe4d/sLOjo56PZC4o1ahuH4viuta0FxfhKqd8zFr7iVw7JyH4iIt1IodTlRmrMXyd65H0boFKFShz8duH8b6FRXYmVeBQreC8jpQsLvbf8yLnavnhxRcxbvewbbbz8DWO87AnnemomDYNG9SVLsSasmjqKzdgALDPKe0Lwf2bS+ivHgJSp3R5FToX+FQLtSiqejavgqt+7Uo2z1oh1Gg0Lt+CYqnTUH3J/NDErq5Mfr1HK5cFPVkjdifU7sQK0uf1X4MO5ylCkaBQnWXWWA7vAr1HQr9Fdo1ZS9D27R74V20MCR83+bNGPjVdRi869bQ7p6Duc2bR65xlpenB5hfeqk2Prxjh96flaVt8tx2mzZDYT0nJ0ev03f55cBNN+m+0DvuAG6/Xfv/+c+Bv/411G5ZZiYwYwbwxz9qMydz5ugZr9OmATfeqK9z//362JIleumrGTP0Ne+4A3j8ce33qaf0te+8U7vHHwdef12bUZk9G3jzTeBPf9J+Fy3SX2qrVunw/vQn4IEHgLfe0mFs3qzv7dVXgalTtVu6VD+T7dv1OU88ATz5JLwrV8V8tj6/C2y3qv1wKG+It+xs4MMPzd+bNpnbWVnm9t13a6sfJ56oVyV57DHgZz8DTjkFOO004NZbddQD/teu1X5++1vghRd0Ms6cqRcSefxxnbwffKBvdf584N139VCy118HZs0CMjJ0Uu3apeM4Zw7w/vs6yXbu1C47W/9fvVpfJyND+3n/fZ1ldu3SAjYnR4fx3nvav82my9l8mw/vZFbg1H8/ga+tvQvPZWUG478kdx+uXP8GLt/wMjJLOkOeWYbqxR3ztuCWuRuwuKAC9ppOqLoDWhy6i6H69kDtHgw5J9fuwdL8vVib2xGy/62N1bh6/mJc8cEivLR6D/JtOn1W5DZjx6A9KC6tZf2yzDZc+dYneHr7duTv6QlN9upuqK4arC/dh/dXt2FTphNzVnTinyv2Y1NtFZbtbMbaTea1MjK9sO1rgWrfi9wiM86ZmcADD/pwzjk6vXdmm3XT+i0eXPYTH84/H7jhRgMfzRlZ74yoa+rbsaFmD9RQGVR5f8jxLdmD2FbRgIczlo9pHQtQAE4mThCdkD8M2z9TdMtgJDwicmvYvntFpC1GONP94YS4sRaAq+osA5I76nXXQaSXp9htvvwlLuT0Wr46PQVQ+1tDhWOBoVvw9pljMewOI3h+beVulO9uj/nClpR1o6JoH2x5RlhcXFAd9XCUjBST1fZ6LHu3CHuKQwu4gvJe1FXVonxvPdT+FqiaLqjGZl0QQOkCs9ZSwFZ3o2CoADaXtuNV0lmOfY4WVNbWBVslbUMFwW6X4D03N6CotQaqcHjE/VSqXvMZlQ1BNTWNKKBV2ZD+wleAcnixqWlH8DlX9ZhiqGbPOtSWrEZlr1/4eSKLrnzPLiivfeR+bx7WeFai2GX3t9jZUdWj0FmrUF25HqVD9mBYViGpoLCnIzvkxoYc2Zi1769YV/UGdvdrMdrYrNBYk4XMpo+xuyMrJH4Or8LOwc3I7FsX2ooAHX7x7o+xvGamFgv7FZqaFJyFeeh/7EEtoKziSSn9+9e/1k1DAREWmJK6dClw2WVaEL3yihY+r72mBc0f/qAFj7Wfcs4cYMoUhMxqsB7PDr33oEK59lotsALC8S9/0QaL8/LMOM6erZVF4LzFi7VCifUSvPUWcN11wMKFI4+tWQMsXx66b9Uq4OabgTPPRHD8QDxu27aRYlYp4OOPtQB+553Q/ZmZwPnnA9dfb+578EHgz38247RkCfCb32i1dvHFWkzm5wNZWRh8dDrKlpTCkeNC/dwM7JxViMUf+5CxzRt8ZDabFlE/+YnWttbbDo/m6tWhpuA2bIicVNboT58O3HKLuZRswG3dCjzzTOhydwG3caO+zWef1UkSsMtpdYsXA7/8pb5GpLDXrw8Ny5p0AbFrs4UK34DblePD+uyeECF0UFc4rMvn0vDy0l/eBMttX1j5799f1YNPyquwPUuXwytWmM929WrTSk9ung+bdw7Cbo8/bllZPuzYMdK/XfmwabMZl7ffBvLz/f7KB4Ll666CIcx4vTfiNZSCLpNLnVClZjm7a5fP3zsFKIeBfy9wYudOM6xdpR1jWscCFICTiWgC8CXR3bqRiCQA7xOR1hjhjEsLoFr1NJb/65foyduC4UKFQVseXKoYrrw8bJ9+AzJnzUSRzeymLCgegBrSAshxYAv27VoCo0ChbZ+Co2e3FkR1B1DaW4z+CoWhMoWi+vpgYWIvGUKj/2KeXBvyFpYjP2cYRfYhNDkaUP1JMSozGka0ECxcMIwbpriwZk3Yi17s1l+6dabgy8jwH7P7UFTSb77sUdzOfFfwi9du98Fu94dd6oTqqcLO4u4Q/3k2jxZvxW5/wefF+s2eEdfNsg3hg231UPtbQ+NQ24l5uXtw1o96sTqvDGqgTBfQDlPo2gs9wYkvCgo1bTl4uv6P2DS4OigG2/YFxFwuftH7I8xoeQA5PRtQ4LYhs28t7u25A6f0fQ0X9ZyJFe3voqLXhrKeHLzY/QS+33syTuv9Om5uuxSNRevhdSg0FW3Akw2/xX+1fgNTmn6IjIG1wfDXDq/GdOdjWvj6bCitXgWvsmF51Yu4sOM7+FbPsTh98GTYfFoAXtF7Ab7i/AK+6P48vug6ClM6L8GqxrewqWkepnT+GF8d+gJO7jsemTVzUdOlw2hoUehQm7Bx1T2ofP+v8KxegaHsLRjK3gJj5QrddDNzphYYgda4Xbt0jfSPf2jRlpkZKmpefFE3/SxcqJt/nn9ei8BFi4DnntNuwQJdw7z2mm55e+YZ4Omntf2dgBrJztYi6KmndA2/fbvev2WLbjZ69FHd1GSt3YMZJi/0t82mxdGDD+pWt7lz9fVycrRyee+9UOPHAZebq+OwYMHIwXWbN48UxkppwRVoUQyojawsfQ/Tp2tRHLiXQFzfe08rnPDr5eTo1sMlS8z78MfR+dwr6Dn/Svgu/6lu/bzoIuCcc+C7+BL0nXUJei64CsZNt6D9tj+h6cF/wPPvFShesxfK7hthCzNat21z88jHGkkkbdyoW/Yef1xHNfCocnK0Dc1IDcM2m9a61kcRyEIPPADcdZdOmkjlR3a2/s6YNWvkI7PZ9CO74gqt5QNJun27vu4pp2iNbBWCS5YAv/gFcO65wN//DmRk6LJj1rsunHNVO7510X6cdd0+PP16N3bleLF1+zBmL+jHwzM6MO2Vbixf44bN5oPN5sPs9z34y/QezFq1H3M278PH21rxSWYv1thasa2xHPnDCvl9u5FXbrbg2cr7oPorYO+qgk2Z5aKOtw8PPaRXJNqRZZZp27f78Pe/Aw8/DLz51rBuCd3uRU5Zr24I6K+A6qiHraYDWWoQtsoeqAN1mFW3FgvbN0J11WB7eQs+zq3HuppyKE8Rcjz5WFBaBJvdUhfUd2Bl5w48Z98EW2FomWsvH0Buf4n+qPQ6kO2yYUH9OnRX5MOnFPpVBeZn1pr+azqh3MWoarFDDSuo7moU7enEntzos4gPFQrAycN4dQGHk5QxgIGJCiXKBW9xcfBtcrW0BF+Uge4eNKlG7FctGGxq1V9fFf1wup1wu90oU0MoVMPoHezV4+72t2Kwpxv7VBv2qnYM9PfpLoGqbnQN9sMYcqNGdaFImRMaSpUTXst4uoGiSih/4dOw33zR3UMG6uoM2JUPecqDur11aK1zoFWVwpZrdgHk5vjw/ntezH7DicXLnNhu70NeoQs78p3Yvn0ApRmt2LVtKNgNoxSwdq0X99+ve/AytoeKRrvdh4ULvMHCOODWr/fhmmuAs88GHnrIi4wMHedXXh3G2Wd7ceppPry5rhZqoFy3MLbvxbr6UvziumHcdhswd64LWzb1obykDf295ldqX68H+/sr4TAUKlvLMNTbFxSljkCrmf9/2z59ktVUSqRJIAWGbn0LN69SOKwFpeFxhgxmGnabMxBdbnMMoYKeQOILq6EPeNuDx8Jr75C4WWcXezzwVVXC69AfC9Zxe1HPiTUeL1mDvqzXjXV+2JhI8yUaANraRhdmv2UM4/79ode2DnQbHIwcZm1t6LF47s3q3+UC6usjx6fWNKeBurqoz8Y6+cpqszJkUtYhJI01mh4P0N4+utvs6jK3m5qAIcu8pk7L3CHrY7ZuNzXp4Z4uF+DzhcbZOow02pBQlyv0HGv40bKwdfzcoUyuCJ8Eoidr6HHa1okbAy63bjkrHMYBi5WI4hIfhtzmhAzrGL5BZ/h1/fdiDKPB26QntByoQ4/b37tR1RMyicXhc+DD6mxMr/sQ04zp+ND1sVnaDJTDVt0F1b4Xy33LcSyOhUBwivO7yCjugE0ZyGqqDpaHS7EUN+NmHI2jIRBc1nMOWou2YGXVW/iD5w94vmYxPtxtQ5W7KqRMq63ahJ5b74LbPfYzgikAJxf5IvKm5fenRaRRYk8CWRO2L0dSYBJIyEzVnj4cUHWoVx0jZsc6lBclyjViRq+1II/LjEyMc1zdvRhSZRhQ5XD3WCY6xDDJEohbuOmXwf7oM3Kt99DXZ24PDVgmavSa23v2eNHfY8a5udns3h0YiMdgtQ/Vw9XBrubeod6I50Q2l+OfVGKpffYbe83uWG9FcHxVuAAMrYjjEFMjKu+w60EbXQ5MiGlpCD2/zlsb7P4Nv3bU8A0DhseJ6m7/ZBOrjb5DMZUSj3qIc3Zr3OFEtaERQ9nEc06isw4Oye5HnHG2rtYRbkttlAJwrB9tKs0CHsvsdEgTTw7BjIt1v9X/0FCM8C3hhJtx0b9HzhBuNzqC53QZPRGvVYva4KSWPFcBsoydeAWv4Gk8jTe9szB13z8xde8beNb7HB7BI3gKT+FtvI353oV4vWodlpbtRq/btJwfUg+4B1E4rMPZ21EA72c+o2cE2+0YaygAJxcBMzC/EW3W5R3RZmCO9x//SEResPg/X3Sr4V9E5Duix/elhBmYsVyV41AE4Mhw9Bdp3Db5otgoTPScmPdpnX0WZX/4OUODQ3qWW5gZl3jtJVoFoNvSGjdkKdwiCTYzoUdfw0RbNzPQ0ufwKgwa5vqmhdDCsL9idLV31PU5kyXMUlkApqPQDT8nGtGE4QREM5m3nEpZMBWeUzQbf9FEY7hoHTLcugepcDjEREs0MTvCWHSUfOd2h9k8vfxyPcPo9tsx1lAATj7uF5F9ooVgvoicazmWKSLzwvzfKCKVfv9lkiKGoMdyibSxEYCjC/OQDDnHIQAPZS3hEQLQiHwsavhhYYYIQEu3xKgFU6xjh3COzxgOTj6p9O0J6UYp9BUGWyRTqlY6FMar9h2v8A+FJIUzGYTNaO8tFZJzPOIcd5hxLisXLg4Ptj/emxtRjjocem3DxsbR38xBoAAkiZIcAWhtSIiyqkXCYiyWmBpLARjHurqx/EU9P04BGCvMEAEYbSWRGGFal8GaaAEIw4CzVLcAhv/VemsmtvaeaCY6bhOtGJLIeOn+REmluCRKKtxLNKGYsACNVo4mAQpAkihJEYBWooqcRJc7i1dMxSPGDkHMpYIADD92sGd+SALwkBL90EvRZjSPEIAHcGBc40AImdzE21KYylAAkkRJDQGYoJhLaQEYa5B4DKEW6fmFL1wfT2NW3EPGUqRA9MKLMpSFCEAPPBMWH0LI5CNVyrtEoAAkiZJWAjDmjD8j8rF4hNkIYXQopiVi3E/wWRgxzk/SLL9Y4/dTFeuC9OUon+joEEImGRSAhKSoAAw5P9FhZmNoJiLVBolP1l5Oa+HcjOaJjg4hZJJBAUjIOAjA0bbMUQBSAFoL52EMH/wEQggZBRSAhIyHALQQzwSGWOckOmlzHCe0UswlwGQonAkhJJlQAJJEGVcBONGMtWgcj/APRygACSEkNhSAJFEOKwFI0gMKQEIIiQ0FIEkUCkCSclAAEkJIbCgASaJQABJCCCFpBgUgSRQKQEIIISTNoAAkiUIBSAghhKQZFIAkUSgACSGEkDSDApAkCgUgIYQQkmZQAJJEoQAkhBBC0gwKQJIoFICEEEJImkEBSBKFApAQQghJMygASaJQABJCCCFpBgUgSRQKQEIIISTNoAAkiUIBSAghhKQZFIAkUSgACSGEkDSDApAkCgUgIYQQkmZQAJJEoQAkhBBC0gwKQJIoFICEEEJImkEBSBKFApAQQghJMygASaIcIyJoaGhAb28vHR0dHR0dXRq4hoYGCkCSECeKzkB0dHR0dHR06edOFEIOgU+JzjzHJMEFxGWyrk/HtDocHdMqvRzTK31cOqbViaLrcUJSimNEv0zHTHREyEFhWqUPTKv0gumVPjCtCBkj+DKlD0yr9IFplV4wvdIHphUhYwRfpvSBaZU+MK3SC6ZX+sC0ImSMOFJEpvv/k9SGaZU+MK3SC6ZX+sC0IoQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQcHtwnIntFxCUi+SJyzoTG5vDkRyKyRkSaRZs2uC7s+KdE5BkRaRERp4hsFZH/DPPzZRFZKCJ9ItIjInNE5OjkRfmw5XERsYtIv4i0i8gqEfm/YX7+p4i8JSKdIjIgIstF5PgwP0YXA0cAAAS5SURBVN8QkXUiMuS/zksi8tmkxfrw5R4RKRH9XvSJSK6IXGk5zrRKXR4XXR6+btnH9CJkjLhZRNwicqeInCYi74pIt4h8ZSIjdRhypYjMEJFfSmQB+KhoUXediHxXRFaLSJ3owjDABhEpEpFzReRCEakWkUVJjfXhyUYR+a2I/D8ROVN0RbNPRI6y+HlbRPaLyKUicpZo0bHLcvwzIlIqIltE5Hui079DRJ5PbtQPS64WkatE5BS/e05EPKLTT4RplaqcLSL1IlIsoQKQ6UXIGJEvIrMsvz8tIk0i8tjERIfISAH4KdEtf1Mt+74gusX2Fv/vU/3n/ZfFzxUi4hORE5IWUyIi8h+in/2P/L+/IFpg3GDx8x2/n/P8v68UEa+Etlz8t4j0isgRyYwsERGRLhH5nTCtUpWjRaRKRH4iIpliCkCmFyFjxBEiYsjI1qYPRbcwkYkhXAD+H/++74X52yEib/i37xLdcmvls6LTd0oS4khMThadPqf7f1/q//3FMH/7RORh//YzoltrrXzLf973kxNNIrp16BbRvR6nCdMqVflQRF7zb2eKKQCZXoSMESeIfil+GLZ/puiWQTIxhAvA8/37vhbmb6mILPFvPyEilRGu1S56DBRJDp8WkbUikm3Z9yvRAiMcm4i86N9+V0Q2hR3/vOh0vlLIWHOG6PFihuihFFf59zOtUo9bRHfhBoa3ZIopAJlehIwR0QTgSyKSN/7RIX7iFYDLRGSxfzuaAOwQ3f1BksPboidQfd2yL1olZReRf/i3Y1VSV4xtFIno3o6TRQ+ReEH0e3GaMK1SjZNEpE302NoAmXJwAcj0ImSUsAs4NWEXcHowS0QaRHcvWWE3VeqzVUTeEaZVqnGd6OdqWBxEj2U2ROQyYXoRMmbki8iblt+fFpFG4SSQiSTaJJC/WPYdI5EngZxl8fNT4SSQZPAp0eKvSUaa4hExB6pfb9l3ikQeqG6dbX+36IHqXNw++WSIyDxhWqUa/0v0WFqrs4vIfP8204uQMSRgBuY3okXEO6JbksLtKpHkcrToFr7viS7MHvZvf8N//FHR6XKN6PFMqySyGZgC0XYcLxA9i45mYMaef4keR3axiHzV4j5n8fO26FaJH4sW5Tl+FyBgqmKT6O6un4ker0lTFWPP8yJykYj8b9HvzguiP4wu9x9nWqU2mTLSDAzTi5Ax4n7RL5RbdIvguRMbncOSS0QLv3A3z388YAi6VXTL31bRX75Wvixa8PWL/tr9QGgIOhlESieItg0YIGCstktEBkVkhWiRaOWbIrJetLHaDhF5WWisNhnMET1O0y1aCGwVU/yJMK1SnUyJbAia6UUIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQkgf8PyvTWG6pd2GsAAAAASUVORK5CYII=\" width=\"640\">"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -4946,38 +5049,55 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 238,
+   "execution_count": 166,
    "metadata": {
     "collapsed": true
    },
    "outputs": [],
    "source": [
-    "def plot_rgb_bar(data_rgb, ids_rgb, spline_s=1):\n",
+    "def plot_rgb_bar(data_rgb, ids_rgb, spline_s=1, show_label=True, save_svg=None):\n",
     "    fig, ax = plt.subplots(1, 1)\n",
-    "    fig.suptitle('Runs {}(R), {}(G), {}(B) at {:%y-%m-%d %H:%M:%S}'.format(*ids_rgb, datetime.now()))\n",
+    "    if show_label:\n",
+    "        fig.suptitle('Runs {}(R), {}(G), {}(B) at {:%y-%m-%d %H:%M:%S}'.format(*ids_rgb, datetime.now()))\n",
     "\n",
+    "    #colors = [\n",
+    "    #    ((1,0,0), (1,0.8,0.8)),\n",
+    "    #    ((0,1,0), (0.8,1,0.8)),\n",
+    "    #    ((0,0,1), (0.8,0.8,1))\n",
+    "    #]\n",
     "    colors = [\n",
-    "        ((1,0,0), (1,0.8,0.8)),\n",
-    "        ((0,1,0), (0.8,1,0.8)),\n",
-    "        ((0,0,1), (0.8,0.8,1))\n",
-    "    ]\n",
+    "        (('#fe3ea0', '#ffd2e9')) #ff99cc\n",
+    "    ] * 4\n",
+    "    print('spline_s', spline_s)\n",
+    "\n",
     "    for (steps, values, stdev), (color_dark, color_bright) in zip(data_rgb, colors):\n",
-    "        ax.errorbar(steps, values, yerr=stdev, color=color_bright)\n",
+    "        ax.errorbar(steps, values, yerr=stdev, color=color_bright, zorder=1)\n",
     "        \n",
     "        spline = inter.UnivariateSpline(steps, values, s=spline_s)\n",
-    "        ax.plot(steps, spline(steps), color=color_dark)\n",
+    "        ax.plot(steps, spline(steps), color=color_dark, zorder=2)\n",
+    "        \n",
+    "    ax.spines['top'].set_visible(False)\n",
+    "    ax.spines['right'].set_visible(False)\n",
+    "    ax.spines['bottom'].set_color('#08bdf9')\n",
+    "    ax.spines['left'].set_color('#08bdf9')\n",
+    "    ax.tick_params(axis='x', colors='#01769D')\n",
+    "    ax.tick_params(axis='y', colors='#01769D')\n",
+    "    ax.xaxis.label.set_color('#01769D')\n",
+    "    ax.yaxis.label.set_color('#01769D')\n",
+    "    ax.grid(color='#08bdf9', linestyle=':')\n",
     "    \n",
     "    ax.set_xlim([380, 720])\n",
-    "    ax.set_xlabel('$\\lambda [nm]$')\n",
-    "    ax.set_ylabel('normalized amplitude')"
+    "    ax.set_xlabel('$\\lambda\\;[nm]$')\n",
+    "    ax.set_ylabel('$I_{pd}\\;[nA]$')\n",
+    "    \n",
+    "    if save_svg:\n",
+    "        fig.savefig(save_svg)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 226,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 124,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -4985,6 +5105,7 @@
        "/* Put everything inside the global mpl namespace */\n",
        "window.mpl = {};\n",
        "\n",
+       "\n",
        "mpl.get_websocket_type = function() {\n",
        "    if (typeof(WebSocket) !== 'undefined') {\n",
        "        return WebSocket;\n",
@@ -5043,6 +5164,9 @@
        "    this.ws.onopen =  function () {\n",
        "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
        "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
        "            fig.send_message(\"refresh\", {});\n",
        "        }\n",
        "\n",
@@ -5112,6 +5236,15 @@
        "    this.canvas = canvas[0];\n",
        "    this.context = canvas[0].getContext(\"2d\");\n",
        "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
        "    var rubberband = $('<canvas/>');\n",
        "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
        "\n",
@@ -5168,8 +5301,9 @@
        "        canvas_div.css('width', width)\n",
        "        canvas_div.css('height', height)\n",
        "\n",
-       "        canvas.attr('width', width);\n",
-       "        canvas.attr('height', height);\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
        "\n",
        "        rubberband.attr('width', width);\n",
        "        rubberband.attr('height', height);\n",
@@ -5302,10 +5436,10 @@
        "}\n",
        "\n",
        "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
-       "    var x0 = msg['x0'];\n",
-       "    var y0 = fig.canvas.height - msg['y0'];\n",
-       "    var x1 = msg['x1'];\n",
-       "    var y1 = fig.canvas.height - msg['y1'];\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
        "    x0 = Math.floor(x0) + 0.5;\n",
        "    y0 = Math.floor(y0) + 0.5;\n",
        "    x1 = Math.floor(x1) + 0.5;\n",
@@ -5461,8 +5595,8 @@
        "        this.canvas_div.focus();\n",
        "    }\n",
        "\n",
-       "    var x = canvas_pos.x;\n",
-       "    var y = canvas_pos.y;\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
        "\n",
        "    this.send_message(name, {x: x, y: y, button: event.button,\n",
        "                             step: event.step,\n",
@@ -5583,6 +5717,7 @@
        "};\n",
        "\n",
        "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
        "    fig.root.unbind('remove')\n",
        "\n",
        "    // Update the output cell to use the data from the current canvas.\n",
@@ -5591,7 +5726,7 @@
        "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
        "    // the notebook keyboard shortcuts fail.\n",
        "    IPython.keyboard_manager.enable()\n",
-       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
+       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
        "    fig.close_ws(fig, msg);\n",
        "}\n",
        "\n",
@@ -5602,8 +5737,9 @@
        "\n",
        "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
        "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
        "    var dataURL = this.canvas.toDataURL();\n",
-       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
+       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
        "}\n",
        "\n",
        "mpl.figure.prototype.updated_canvas_event = function() {\n",
@@ -5692,12 +5828,9 @@
        "    // Check for shift+enter\n",
        "    if (event.shiftKey && event.which == 13) {\n",
        "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
        "    }\n",
        "}\n",
        "\n",
@@ -5746,7 +5879,7 @@
     {
      "data": {
       "text/html": [
-       "<img 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\" width=\"640\">"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -5761,7 +5894,7 @@
        "(380, 720)"
       ]
      },
-     "execution_count": 226,
+     "execution_count": 124,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5778,9 +5911,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 261,
+   "execution_count": 168,
    "metadata": {
-    "collapsed": false,
     "scrolled": false
    },
    "outputs": [
@@ -5806,6 +5938,7 @@
        "/* Put everything inside the global mpl namespace */\n",
        "window.mpl = {};\n",
        "\n",
+       "\n",
        "mpl.get_websocket_type = function() {\n",
        "    if (typeof(WebSocket) !== 'undefined') {\n",
        "        return WebSocket;\n",
@@ -5864,6 +5997,9 @@
        "    this.ws.onopen =  function () {\n",
        "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
        "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
        "            fig.send_message(\"refresh\", {});\n",
        "        }\n",
        "\n",
@@ -5933,6 +6069,15 @@
        "    this.canvas = canvas[0];\n",
        "    this.context = canvas[0].getContext(\"2d\");\n",
        "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
        "    var rubberband = $('<canvas/>');\n",
        "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
        "\n",
@@ -5989,8 +6134,9 @@
        "        canvas_div.css('width', width)\n",
        "        canvas_div.css('height', height)\n",
        "\n",
-       "        canvas.attr('width', width);\n",
-       "        canvas.attr('height', height);\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
        "\n",
        "        rubberband.attr('width', width);\n",
        "        rubberband.attr('height', height);\n",
@@ -6123,10 +6269,10 @@
        "}\n",
        "\n",
        "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
-       "    var x0 = msg['x0'];\n",
-       "    var y0 = fig.canvas.height - msg['y0'];\n",
-       "    var x1 = msg['x1'];\n",
-       "    var y1 = fig.canvas.height - msg['y1'];\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
        "    x0 = Math.floor(x0) + 0.5;\n",
        "    y0 = Math.floor(y0) + 0.5;\n",
        "    x1 = Math.floor(x1) + 0.5;\n",
@@ -6282,8 +6428,8 @@
        "        this.canvas_div.focus();\n",
        "    }\n",
        "\n",
-       "    var x = canvas_pos.x;\n",
-       "    var y = canvas_pos.y;\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
        "\n",
        "    this.send_message(name, {x: x, y: y, button: event.button,\n",
        "                             step: event.step,\n",
@@ -6404,6 +6550,7 @@
        "};\n",
        "\n",
        "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
        "    fig.root.unbind('remove')\n",
        "\n",
        "    // Update the output cell to use the data from the current canvas.\n",
@@ -6412,7 +6559,7 @@
        "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
        "    // the notebook keyboard shortcuts fail.\n",
        "    IPython.keyboard_manager.enable()\n",
-       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
+       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
        "    fig.close_ws(fig, msg);\n",
        "}\n",
        "\n",
@@ -6423,8 +6570,9 @@
        "\n",
        "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
        "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
        "    var dataURL = this.canvas.toDataURL();\n",
-       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
+       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
        "}\n",
        "\n",
        "mpl.figure.prototype.updated_canvas_event = function() {\n",
@@ -6513,12 +6661,9 @@
        "    // Check for shift+enter\n",
        "    if (event.shiftKey && event.which == 13) {\n",
        "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
        "    }\n",
        "}\n",
        "\n",
@@ -6567,7 +6712,7 @@
     {
      "data": {
       "text/html": [
-       "<img 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\">"
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\" width=\"640\">"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -6575,6 +6720,13 @@
      },
      "metadata": {},
      "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "spline_s 0.5\n"
+     ]
     }
    ],
    "source": [
@@ -6588,6 +6740,7 @@
     "λ_led = [623, 518, 466] # [nm] Assumed wavelengths of R, G and B spectral peaks.\n",
     "λ_be = 400 # [nm] Approximate short-λ edge of blue band\n",
     "y_edge_min = 0.5\n",
+    "transimpedance = 630e6 # Ohms.\n",
     "\n",
     "poly_degree = 2 # degree of polynomial for stray light and offset correction. Should be 1 or 2.\n",
     "\n",
@@ -6645,21 +6798,24 @@
     "data_rgb = [ (λ[λ > 380], y[λ > 380], σ2[λ > 380]) for λ, y, σ2 in data_rgb ]\n",
     "\n",
     "# Normalize amplitude data to brightest channel for ease of reading\n",
-    "max_val = max(np.max(y) for λ, y, σ2 in data_rgb)\n",
-    "data_rgb = [ (λ, y/max_val, σ2/max_val) for λ, y, σ2 in data_rgb ]\n",
+    "#max_val = max(np.max(y) for λ, y, σ2 in data_rgb)\n",
+    "#data_rgb = [ (λ, y/max_val, σ2/max_val) for λ, y, σ2 in data_rgb ]\n",
+    "\n",
+    "# Convert amplitude data to current in nanoampère\n",
+    "data_rgb = [ (λ, y/transimpedance / 1e-9, σ2/transimpedance / 1e-9) for λ, y, σ2 in data_rgb ]\n",
     "\n",
-    "plot_rgb_bar(data_rgb, ids, spline_s=0.005)"
+    "plot_rgb_bar(data_rgb, ids, spline_s=0.5, show_label=False, save_svg='/tmp/processed_plot_cheap_rgb.svg')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 271,
+   "execution_count": 58,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
-    "# CIE XYZ Color matching functions\n",
+    "# CIE XYZ Color matching functions from http://cvrl.ioo.ucl.ac.uk/\n",
     "# rows are: λ[nm], x, y, z\n",
     "CMFs = { fn[:-4]: np.genfromtxt(fn, delimiter=',')\n",
     "        for fn in ['cie_xyz_1931.csv', 'cie_xyz_judd_1951.csv', 'cie_xyz_judd_vos_1978.csv'] }\n",
@@ -6669,7 +6825,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 285,
+   "execution_count": 59,
    "metadata": {
     "collapsed": true
    },
@@ -6688,10 +6844,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 289,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 60,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -6701,7 +6855,7 @@
        "       [  1.75128165e-01,   2.49230694e-01,   9.78488855e-01]])"
       ]
      },
-     "execution_count": 289,
+     "execution_count": 60,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6713,9 +6867,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 330,
+   "execution_count": 61,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -6728,10 +6882,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 332,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 62,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -6739,7 +6891,7 @@
        "array([ 0.72869072,  0.1386238 ,  0.20139265])"
       ]
      },
-     "execution_count": 332,
+     "execution_count": 62,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6754,8 +6906,20 @@
    "display_name": "Python 3",
    "language": "python",
    "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.5"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/firmware/measure_spectrum.py b/firmware/measure_spectrum.py
index 471d1a8..47df7b3 100644
--- a/firmware/measure_spectrum.py
+++ b/firmware/measure_spectrum.py
@@ -3,7 +3,6 @@
 import time
 import statistics
 import sqlite3
-from olsndot import Olsndot, Driver
 from datetime import datetime
 
 from pyBusPirateLite import BitBang
@@ -12,34 +11,38 @@ if __name__ == '__main__':
     import argparse
 
     parser = argparse.ArgumentParser()
-    parser.add_argument('run_name', nargs='?', default='auto')
-    parser.add_argument('buspirate_port', nargs='?', default='/dev/serial/by-id/usb-FTDI_FT232R_USB_UART_AD01W1RF-if00-port0')
     parser.add_argument('-s', '--steps', type=int, nargs='?', default=400, help='Steps to run through')
     parser.add_argument('-k', '--skip', type=int, nargs='?', default=2, help='Steps skip between measurements for shorter runtime')
     parser.add_argument('-d', '--database', default='spectra.sqlite3', help='sqlite3 database file to store results in')
     parser.add_argument('-w', '--wait', type=float, default=2.0, help='time to wait between samples in seconds')
     parser.add_argument('-o', '--oversample', type=int, default=32, help='oversampling ratio')
+    parser.add_argument('-g', '--gain', type=float, default=None, help='Transimpedance gain of amplifier in MOhm')
     parser.add_argument('-c', '--comment', help='run comment')
+    parser.add_argument('-p', '--port', default='/dev/serial/by-id/usb-FTDI_FT232R_USB_UART_AD01W1RF-if00-port0', help='Serial port device of the control buspirate')
+    parser.add_argument('run_name', nargs='?', default='auto')
+    parser.add_argument('color', help='Captured color channel')
     args = parser.parse_args()
 
     db = sqlite3.connect(args.database)
     db.execute("""
         CREATE TABLE IF NOT EXISTS runs (
-                run_id INTEGER PRIMARY KEY,
+                capture_id INTEGER PRIMARY KEY,
                 name TEXT,
                 comment TEXT,
+                color TEXT, -- Captured color channel
+                gain REAL, -- Preamplifier transimpedance in Ohms
                 timestamp REAL -- unix timestamp in fractional seconds
                 )""")
     db.execute("""
         CREATE TABLE IF NOT EXISTS measurements (
                 measurement_id INTEGER PRIMARY KEY,
-                run_id INTEGER,
+                capture_id INTEGER,
                 led_on INTEGER,
                 step INTEGER,
                 voltage REAL, -- volts
                 voltage_stdev REAL, -- volts
                 timestamp REAL, -- unix timestamp in fractional seconds
-                FOREIGN KEY (run_id) REFERENCES runs)""")
+                FOREIGN KEY (capture_id) REFERENCES runs)""")
 
     class BPState:
         def __init__(self, port):
@@ -72,7 +75,7 @@ if __name__ == '__main__':
             self.reinit()
             return [ self.bp.adc_value for _ in range(oversampling) ]
 
-    bp = BPState(args.buspirate_port)
+    bp = BPState(args.port)
 
     run_name = args.run_name
     if not str.isnumeric(args.run_name[-1]):
@@ -82,11 +85,11 @@ if __name__ == '__main__':
         run_name += str(1+max(int(n) if str.isnumeric(n) else 0 for n in names))
     with db:
         cur = db.cursor()
-        cur.execute('INSERT INTO runs(name, comment, timestamp) VALUES (?, ?, ?)',
-                (run_name, args.comment, time.time()))
-        run_id = cur.lastrowid
+        cur.execute('INSERT INTO runs(name, comment, color, gain, timestamp) VALUES (?, ?, ?, ?, ?)',
+                (run_name, args.comment, args.color, args.gain*1e6, time.time()))
+        capture_id = cur.lastrowid
 
-    print('Starting run {} "{}" at {:%y-%m-%d %H:%M:%S:%f}'.format(run_id, run_name, datetime.now()))
+    print('Starting run {} "{}" at {:%y-%m-%d %H:%M:%S:%f}'.format(capture_id, run_name, datetime.now()))
     print('[measurement id] " " [step number] " " [reading (V)]')
 
     bp.stepper_direction('down')
@@ -107,9 +110,9 @@ if __name__ == '__main__':
                     cur = db.cursor()
                     cur.execute('''
                         INSERT INTO measurements (
-                                run_id, led_on, step, voltage, voltage_stdev, timestamp
+                                capture_id, led_on, step, voltage, voltage_stdev, timestamp
                             ) VALUES (?, ?, ?, ?, ?, ?)''',
-                            (run_id, led_val, step, mean, stdev, time.time()))
+                            (capture_id, led_val, step, mean, stdev, time.time()))
                     print('{:08d} {:03} {}: {:5.4f} stdev {:5.4f}'.format(
                         cur.lastrowid, step, led_val, mean, stdev))
             except KeyboardInterrupt:
diff --git a/firmware/results.sqlite3 b/firmware/results.sqlite3
deleted file mode 100644
index d0ede6a..0000000
--- a/firmware/results.sqlite3
+++ /dev/null
diff --git a/firmware/spectra.sqlite3 b/firmware/spectra.sqlite3
index 09e23c2..fe9be41 100644
--- a/firmware/spectra.sqlite3
+++ b/firmware/spectra.sqlite3
diff --git a/firmware/stepper_test.py b/firmware/stepper_test.py
index 23486fb..95a4e2a 100644
--- a/firmware/stepper_test.py
+++ b/firmware/stepper_test.py
@@ -3,7 +3,6 @@
 import time
 import statistics
 import sqlite3
-from olsndot import Olsndot, Driver
 from datetime import datetime
 
 from pyBusPirateLite import BitBang