{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"1436\">Loading BokehJS ...</span>\n",
       "    </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
       "    root._bokeh_onload_callbacks = [];\n",
       "    root._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "  var JS_MIME_TYPE = 'application/javascript';\n",
       "  var HTML_MIME_TYPE = 'text/html';\n",
       "  var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
       "  var CLASS_NAME = 'output_bokeh rendered_html';\n",
       "\n",
       "  /**\n",
       "   * Render data to the DOM node\n",
       "   */\n",
       "  function render(props, node) {\n",
       "    var script = document.createElement(\"script\");\n",
       "    node.appendChild(script);\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when an output is cleared or removed\n",
       "   */\n",
       "  function handleClearOutput(event, handle) {\n",
       "    var cell = handle.cell;\n",
       "\n",
       "    var id = cell.output_area._bokeh_element_id;\n",
       "    var server_id = cell.output_area._bokeh_server_id;\n",
       "    // Clean up Bokeh references\n",
       "    if (id != null && id in Bokeh.index) {\n",
       "      Bokeh.index[id].model.document.clear();\n",
       "      delete Bokeh.index[id];\n",
       "    }\n",
       "\n",
       "    if (server_id !== undefined) {\n",
       "      // Clean up Bokeh references\n",
       "      var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
       "      cell.notebook.kernel.execute(cmd, {\n",
       "        iopub: {\n",
       "          output: function(msg) {\n",
       "            var id = msg.content.text.trim();\n",
       "            if (id in Bokeh.index) {\n",
       "              Bokeh.index[id].model.document.clear();\n",
       "              delete Bokeh.index[id];\n",
       "            }\n",
       "          }\n",
       "        }\n",
       "      });\n",
       "      // Destroy server and session\n",
       "      var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
       "      cell.notebook.kernel.execute(cmd);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when a new output is added\n",
       "   */\n",
       "  function handleAddOutput(event, handle) {\n",
       "    var output_area = handle.output_area;\n",
       "    var output = handle.output;\n",
       "\n",
       "    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
       "    if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
       "      return\n",
       "    }\n",
       "\n",
       "    var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
       "\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
       "      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
       "      // store reference to embed id on output_area\n",
       "      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
       "    }\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
       "      var bk_div = document.createElement(\"div\");\n",
       "      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "      var script_attrs = bk_div.children[0].attributes;\n",
       "      for (var i = 0; i < script_attrs.length; i++) {\n",
       "        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
       "        toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n",
       "      }\n",
       "      // store reference to server id on output_area\n",
       "      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function register_renderer(events, OutputArea) {\n",
       "\n",
       "    function append_mime(data, metadata, element) {\n",
       "      // create a DOM node to render to\n",
       "      var toinsert = this.create_output_subarea(\n",
       "        metadata,\n",
       "        CLASS_NAME,\n",
       "        EXEC_MIME_TYPE\n",
       "      );\n",
       "      this.keyboard_manager.register_events(toinsert);\n",
       "      // Render to node\n",
       "      var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "      render(props, toinsert[toinsert.length - 1]);\n",
       "      element.append(toinsert);\n",
       "      return toinsert\n",
       "    }\n",
       "\n",
       "    /* Handle when an output is cleared or removed */\n",
       "    events.on('clear_output.CodeCell', handleClearOutput);\n",
       "    events.on('delete.Cell', handleClearOutput);\n",
       "\n",
       "    /* Handle when a new output is added */\n",
       "    events.on('output_added.OutputArea', handleAddOutput);\n",
       "\n",
       "    /**\n",
       "     * Register the mime type and append_mime function with output_area\n",
       "     */\n",
       "    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "      /* Is output safe? */\n",
       "      safe: true,\n",
       "      /* Index of renderer in `output_area.display_order` */\n",
       "      index: 0\n",
       "    });\n",
       "  }\n",
       "\n",
       "  // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
       "  if (root.Jupyter !== undefined) {\n",
       "    var events = require('base/js/events');\n",
       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
       "\n",
       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
       "      register_renderer(events, OutputArea);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  \n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "     \"<div style='background-color: #fdd'>\\n\"+\n",
       "     \"<p>\\n\"+\n",
       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "     \"</p>\\n\"+\n",
       "     \"<ul>\\n\"+\n",
       "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "     \"</ul>\\n\"+\n",
       "     \"<code>\\n\"+\n",
       "     \"from bokeh.resources import INLINE\\n\"+\n",
       "     \"output_notebook(resources=INLINE)\\n\"+\n",
       "     \"</code>\\n\"+\n",
       "     \"</div>\"}};\n",
       "\n",
       "  function display_loaded() {\n",
       "    var el = document.getElementById(\"1436\");\n",
       "    if (el != null) {\n",
       "      el.textContent = \"BokehJS is loading...\";\n",
       "    }\n",
       "    if (root.Bokeh !== undefined) {\n",
       "      if (el != null) {\n",
       "        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
       "      }\n",
       "    } else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(display_loaded, 100)\n",
       "    }\n",
       "  }\n",
       "\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
       "        if (callback != null)\n",
       "          callback();\n",
       "      });\n",
       "    } finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(css_urls, js_urls, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\n",
       "\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
       "\n",
       "    function on_load() {\n",
       "      root._bokeh_is_loading--;\n",
       "      if (root._bokeh_is_loading === 0) {\n",
       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
       "        run_callbacks()\n",
       "      }\n",
       "    }\n",
       "\n",
       "    function on_error() {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    for (var i = 0; i < css_urls.length; i++) {\n",
       "      var url = css_urls[i];\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.rel = \"stylesheet\";\n",
       "      element.type = \"text/css\";\n",
       "      element.href = url;\n",
       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
       "      document.body.appendChild(element);\n",
       "    }\n",
       "\n",
       "    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\": \"T2yuo9Oe71Cz/I4X9Ac5+gpEa5a8PpJCDlqKYO0CfAuEszu1JrXLl8YugMqYe3sM\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\": \"98GDGJ0kOMCUMUePhksaQ/GYgB3+NH9h996V88sh3aOiUNX3N+fLXAtry6xctSZ6\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\": \"89bArO+nlbP3sgakeHjCo1JYxYR5wufVgA3IbUvDY+K7w4zyxJqssu7wVnfeKCq8\"};\n",
       "\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      if (url in hashes) {\n",
       "        element.crossOrigin = \"anonymous\";\n",
       "        element.integrity = \"sha384-\" + hashes[url];\n",
       "      }\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "  };\n",
       "\n",
       "  function inject_raw_css(css) {\n",
       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
       "    document.body.appendChild(element);\n",
       "  }\n",
       "\n",
       "  \n",
       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\"];\n",
       "  var css_urls = [];\n",
       "  \n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "    \n",
       "    \n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if (root.Bokeh !== undefined || force === true) {\n",
       "      \n",
       "    for (var i = 0; i < inline_js.length; i++) {\n",
       "      inline_js[i].call(root, root.Bokeh);\n",
       "    }\n",
       "    if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      var cell = $(document.getElementById(\"1436\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  \n\n  \n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  var NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    var el = document.getElementById(\"1436\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\": \"T2yuo9Oe71Cz/I4X9Ac5+gpEa5a8PpJCDlqKYO0CfAuEszu1JrXLl8YugMqYe3sM\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\": \"98GDGJ0kOMCUMUePhksaQ/GYgB3+NH9h996V88sh3aOiUNX3N+fLXAtry6xctSZ6\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\": \"89bArO+nlbP3sgakeHjCo1JYxYR5wufVgA3IbUvDY+K7w4zyxJqssu7wVnfeKCq8\"};\n\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      if (url in hashes) {\n        element.crossOrigin = \"anonymous\";\n        element.integrity = \"sha384-\" + hashes[url];\n      }\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  \n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\"];\n  var css_urls = [];\n  \n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (var i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n    if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(\"1436\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Brick\\miniconda3\\lib\\site-packages\\ipykernel_launcher.py:46: RuntimeWarning: All-NaN slice encountered\n",
      "C:\\Users\\Brick\\miniconda3\\lib\\site-packages\\ipykernel_launcher.py:55: RuntimeWarning: invalid value encountered in sqrt\n",
      "C:\\Users\\Brick\\miniconda3\\lib\\site-packages\\ipykernel_launcher.py:56: RuntimeWarning: invalid value encountered in sqrt\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"fcbb2e07-7ef4-47cc-91a7-b5bc35d23e61\" data-root-id=\"1701\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"8a753627-13e0-466c-afc6-e3766d6b9ce3\":{\"roots\":{\"references\":[{\"attributes\":{\"children\":[{\"id\":\"1700\"}]},\"id\":\"1701\",\"type\":\"Column\"},{\"attributes\":{\"axis\":{\"id\":\"1456\"},\"ticker\":null},\"id\":\"1459\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1625\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1589\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"label\":{\"value\":\"In-vacuum det\"},\"renderers\":[{\"id\":\"1486\"}]},\"id\":\"1499\",\"type\":\"LegendItem\"},{\"attributes\":{},\"id\":\"1454\",\"type\":\"LinearScale\"},{\"attributes\":{\"line_color\":\"green\",\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y2\"}},\"id\":\"1596\",\"type\":\"Line\"},{\"attributes\":{\"label\":{\"value\":\"Sample\"},\"renderers\":[{\"id\":\"1526\"}]},\"id\":\"1544\",\"type\":\"LegendItem\"},{\"attributes\":{},\"id\":\"1464\",\"type\":\"PanTool\"},{\"attributes\":{\"ticks\":[-200,-100,0,100,200]},\"id\":\"1696\",\"type\":\"FixedTicker\"},{\"attributes\":{\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[361]},\"y1\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[361]},\"y2\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[361]}},\"selected\":{\"id\":\"1626\"},\"selection_policy\":{\"id\":\"1625\"}},\"id\":\"1440\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1464\"},{\"id\":\"1465\"},{\"id\":\"1466\"},{\"id\":\"1467\"},{\"id\":\"1468\"},{\"id\":\"1469\"}]},\"id\":\"1471\",\"type\":\"Toolbar\"},{\"attributes\":{\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[361]},\"y1\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[361]},\"y2\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[361]}},\"selected\":{\"id\":\"1661\"},\"selection_policy\":{\"id\":\"1660\"}},\"id\":\"1442\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1492\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1663\",\"type\":\"Selection\"},{\"attributes\":{\"line_color\":\"royalblue\",\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y2\"}},\"id\":\"1629\",\"type\":\"Line\"},{\"attributes\":{\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[3601]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[3601]}},\"selected\":{\"id\":\"1516\"},\"selection_policy\":{\"id\":\"1515\"}},\"id\":\"1441\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"axis\":{\"id\":\"1460\"},\"dimension\":1,\"ticker\":null},\"id\":\"1463\",\"type\":\"Grid\"},{\"attributes\":{\"axis\":{\"id\":\"1558\"},\"ticker\":null},\"id\":\"1561\",\"type\":\"Grid\"},{\"attributes\":{\"data\":{\"x\":{\"__ndarray__\":\"AAAAAAAANEAAAAAAAAA0wAAAAAAAADTAAAAAAAAANEAAAAAAAAA0QA==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[5]},\"y\":{\"__ndarray__\":\"AAAAAAAAPkAAAAAAAAA+QAAAAAAAAEnAAAAAAAAAScAAAAAAAAA+QA==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[5]}},\"selected\":{\"id\":\"1497\"},\"selection_policy\":{\"id\":\"1496\"}},\"id\":\"1438\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"data\":{\"x\":{\"__ndarray__\":\"dT9qVt9VrT/8UbP6rur4P/6oWX1XdQhAf9Ssvqs6EkB/1Ky+qzoYQH7UrL6rOh5AP2pW31UdIkA/albfVR0lQD9qVt9VHShAP2pW31UdK0A/albfVR0uQB81q++qjjBAIDWr76oOMkAfNavvqo4zQB81q++qDjVAIDWr76qONkAfNavvqg44QB81q++qjjlAIDWr76oOO0AfNavvqo48QB81q++qDj5AIDWr76qOP0CPmtV3VYdAQJCa1XdVR0FAkJrVd1UHQkCPmtV3VcdCQJCa1XdVh0NAkJrVd1VHRECPmtV3VQdFQJCa1XdVx0VAkJrVd1WHRkCPmtV3VUdHQJCa1XdVB0hAkJrVd1XHSECPmtV3VYdJQJCa1XdVR0pAkJrVd1UHS0CPmtV3VcdLQJCa1XdVh0xAj5rVd1VHTUCOmtV3VQdOQI6a1XdVx05Aj5rVd1WHT0BHzeq7qiNQQEfN6ruqg1BAR83qu6rjUEBHzeq7qkNRQEfN6ruqo1FAR83qu6oDUkBHzeq7qmNSQEfN6ruqw1JAR83qu6ojU0BHzeq7qoNTQEfN6ruq41NAR83qu6pDVEBHzeq7qqNUQEfN6ruqA1VAR83qu6pjVUBHzeq7qsNVQEfN6ruqI1ZAR83qu6qDVkBHzeq7quNWQEfN6ruqQ1dAR83qu6qjV0BHzeq7qgNYQEfN6ruqY1hAR83qu6rDWEBHzeq7qiNZQEfN6ruqg1lAR83qu6rjWUBHzeq7qkNaQEfN6ruqo1pAR83qu6oDW0BHzeq7qmNbQEfN6ruqw1tAR83qu6ojXEBHzeq7qoNcQEfN6ruq41xAR83qu6pDXUBGzeq7qqNdQEfN6ruqA15AR83qu6pjXkBGzeq7qsNeQEfN6ruqI19AR83qu6qDX0BGzeq7quNfQKNm9V3VIWBApGb1XdVRYECjZvVd1YFgQKNm9V3VsWBApGb1XdXhYECjZvVd1RFhQKNm9V3VQWFApGb1XdVxYUCjZvVd1aFhQKNm9V3V0WFApGb1XdUBYkCjZvVd1TFiQKNm9V3VYWJApGb1XdWRYkCjZvVd1cFiQKNm9V3V8WJApGb1XdUhY0CjZvVd1VFjQKNm9V3VgWNApGb1XdWxY0CjZvVd1eFjQKNm9V3VEWRApGb1XdVBZECjZvVd1XFkQKNm9V3VoWRApGb1XdXRZECjZvVd1QFlQKNm9V3VMWVApGb1XdVhZUCjZvVd1ZFlQKNm9V3VwWVApGb1XdXxZUCjZvVd1SFmQKNm9V3VUWZApGb1XdWBZkA=\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[121]},\"y1\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[121]},\"y2\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[121]}},\"selected\":{\"id\":\"1592\"},\"selection_policy\":{\"id\":\"1591\"}},\"id\":\"1437\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1626\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1571\",\"type\":\"HelpTool\"},{\"attributes\":{\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[60]},\"y1\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[60]},\"y2\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[60]}},\"selected\":{\"id\":\"1624\"},\"selection_policy\":{\"id\":\"1623\"}},\"id\":\"1439\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":{\"id\":\"1567\"},\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1566\"},{\"id\":\"1567\"},{\"id\":\"1568\"},{\"id\":\"1569\"},{\"id\":\"1570\"},{\"id\":\"1571\"},{\"id\":\"1670\"}]},\"id\":\"1573\",\"type\":\"Toolbar\"},{\"attributes\":{\"end\":145,\"start\":-205},\"id\":\"1545\",\"type\":\"Range1d\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"green\",\"line_dash\":[6],\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y2\"}},\"id\":\"1607\",\"type\":\"Line\"},{\"attributes\":{\"align\":\"center\",\"text\":\"Geometry\"},\"id\":\"1446\",\"type\":\"Title\"},{\"attributes\":{\"source\":{\"id\":\"1438\"}},\"id\":\"1487\",\"type\":\"CDSView\"},{\"attributes\":{\"axis_label\":\"gamma (deg)\",\"axis_label_text_font_size\":\"16pt\",\"axis_label_text_font_style\":\"normal\",\"formatter\":{\"id\":\"1589\"},\"major_label_text_font_size\":\"16pt\",\"ticker\":{\"id\":\"1689\"}},\"id\":\"1558\",\"type\":\"LinearAxis\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"royalblue\",\"line_dash\":[6],\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y1\"}},\"id\":\"1635\",\"type\":\"Line\"},{\"attributes\":{\"line_color\":\"green\",\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1484\",\"type\":\"Line\"},{\"attributes\":{\"label\":{\"value\":\"Be window\"},\"renderers\":[{\"id\":\"1613\"}]},\"id\":\"1627\",\"type\":\"LegendItem\"},{\"attributes\":{\"source\":{\"id\":\"1478\"}},\"id\":\"1482\",\"type\":\"CDSView\"},{\"attributes\":{\"axis_label\":\"x (mm)\",\"axis_label_text_font_size\":\"16pt\",\"axis_label_text_font_style\":\"normal\",\"formatter\":{\"id\":\"1490\"},\"major_label_text_font_size\":\"16pt\",\"ticker\":{\"id\":\"1698\"}},\"id\":\"1460\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1452\",\"type\":\"LinearScale\"},{\"attributes\":{\"data_source\":{\"id\":\"1442\"},\"glyph\":{\"id\":\"1634\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1635\"},\"selection_glyph\":null,\"view\":{\"id\":\"1637\"}},\"id\":\"1636\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"axis_label\":\"delta (deg)\",\"axis_label_text_font_size\":\"16pt\",\"axis_label_text_font_style\":\"normal\",\"formatter\":{\"id\":\"1587\"},\"major_label_text_font_size\":\"16pt\",\"ticker\":{\"id\":\"1691\"}},\"id\":\"1562\",\"type\":\"LinearAxis\"},{\"attributes\":{\"ticks\":[-100,0,100,200]},\"id\":\"1698\",\"type\":\"FixedTicker\"},{\"attributes\":{\"line_color\":\"royalblue\",\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1501\",\"type\":\"Line\"},{\"attributes\":{\"data_source\":{\"id\":\"1439\"},\"glyph\":{\"id\":\"1606\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1607\"},\"selection_glyph\":null,\"view\":{\"id\":\"1609\"}},\"id\":\"1608\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"line_alpha\":0.6,\"line_color\":\"royalblue\",\"line_dash\":[6],\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y2\"}},\"id\":\"1639\",\"type\":\"Line\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"green\",\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1485\",\"type\":\"Line\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"1470\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"end\":165,\"start\":-165},\"id\":\"1546\",\"type\":\"Range1d\"},{\"attributes\":{\"line_color\":\"royalblue\",\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y1\"}},\"id\":\"1611\",\"type\":\"Line\"},{\"attributes\":{\"anchor\":\"bottom_left\",\"h\":{\"units\":\"data\",\"value\":350},\"url\":{\"field\":\"url\"},\"w\":{\"units\":\"data\",\"value\":330},\"x\":{\"value\":-166},\"y\":{\"value\":-203}},\"id\":\"1479\",\"type\":\"ImageURL\"},{\"attributes\":{\"data_source\":{\"id\":\"1443\"},\"glyph\":{\"id\":\"1644\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1645\"},\"selection_glyph\":null,\"view\":{\"id\":\"1647\"}},\"id\":\"1646\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"background_fill_alpha\":0,\"border_line_alpha\":0,\"items\":[{\"id\":\"1499\"},{\"id\":\"1517\"},{\"id\":\"1544\"}],\"label_text_font_size\":\"16pt\",\"location\":\"top_left\"},\"id\":\"1498\",\"type\":\"Legend\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"1572\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"background_fill_alpha\":0,\"border_line_alpha\":0,\"items\":[{\"id\":\"1594\"},{\"id\":\"1627\"},{\"id\":\"1664\"}],\"label_text_font_size\":\"16pt\",\"location\":\"top_left\"},\"id\":\"1593\",\"type\":\"Legend\"},{\"attributes\":{\"data_source\":{\"id\":\"1478\"},\"glyph\":{\"id\":\"1479\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1480\"},\"selection_glyph\":null,\"view\":{\"id\":\"1482\"}},\"id\":\"1481\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1494\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"below\":[{\"id\":\"1558\"}],\"center\":[{\"id\":\"1561\"},{\"id\":\"1565\"},{\"id\":\"1593\"}],\"left\":[{\"id\":\"1562\"}],\"renderers\":[{\"id\":\"1583\"},{\"id\":\"1598\"},{\"id\":\"1603\"},{\"id\":\"1608\"},{\"id\":\"1613\"},{\"id\":\"1631\"},{\"id\":\"1636\"},{\"id\":\"1641\"},{\"id\":\"1646\"},{\"id\":\"1668\"}],\"title\":{\"id\":\"1548\"},\"toolbar\":{\"id\":\"1573\"},\"x_range\":{\"id\":\"1694\"},\"x_scale\":{\"id\":\"1554\"},\"y_range\":{\"id\":\"1695\"},\"y_scale\":{\"id\":\"1556\"}},\"id\":\"1547\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1569\",\"type\":\"SaveTool\"},{\"attributes\":{\"data_source\":{\"id\":\"1438\"},\"glyph\":{\"id\":\"1484\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1485\"},\"selection_glyph\":null,\"view\":{\"id\":\"1487\"}},\"id\":\"1486\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"axis_label\":\"z (mm)\",\"axis_label_text_font_size\":\"16pt\",\"axis_label_text_font_style\":\"normal\",\"formatter\":{\"id\":\"1492\"},\"major_label_text_font_size\":\"16pt\",\"ticker\":{\"id\":\"1696\"}},\"id\":\"1456\",\"type\":\"LinearAxis\"},{\"attributes\":{\"source\":{\"id\":\"1439\"}},\"id\":\"1609\",\"type\":\"CDSView\"},{\"attributes\":{\"anchor\":\"bottom_left\",\"global_alpha\":0.1,\"h\":{\"units\":\"data\",\"value\":350},\"url\":{\"field\":\"url\"},\"w\":{\"units\":\"data\",\"value\":330},\"x\":{\"value\":-166},\"y\":{\"value\":-203}},\"id\":\"1480\",\"type\":\"ImageURL\"},{\"attributes\":{},\"id\":\"1591\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1570\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"1587\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"source\":{\"id\":\"1442\"}},\"id\":\"1637\",\"type\":\"CDSView\"},{\"attributes\":{\"line_alpha\":0.6,\"line_color\":\"grey\",\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y1\"}},\"id\":\"1644\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1662\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"data_source\":{\"id\":\"1437\"},\"glyph\":{\"id\":\"1581\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1582\"},\"selection_glyph\":null,\"view\":{\"id\":\"1584\"}},\"id\":\"1583\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1592\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1490\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"data_source\":{\"id\":\"1444\"},\"glyph\":{\"id\":\"1519\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1520\"},\"selection_glyph\":null,\"view\":{\"id\":\"1522\"}},\"id\":\"1521\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"label\":{\"value\":\"CF250 flange\"},\"renderers\":[{\"id\":\"1646\"}]},\"id\":\"1664\",\"type\":\"LegendItem\"},{\"attributes\":{\"ticks\":[0,45,90,135,180]},\"id\":\"1691\",\"type\":\"FixedTicker\"},{\"attributes\":{\"source\":{\"id\":\"1437\"}},\"id\":\"1599\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1465\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"overlay\":{\"id\":\"1470\"}},\"id\":\"1466\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"1497\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1468\",\"type\":\"ResetTool\"},{\"attributes\":{\"align\":\"center\",\"text\":\"Diffraction Angles\"},\"id\":\"1548\",\"type\":\"Title\"},{\"attributes\":{\"ticks\":[0,45,90,135,180]},\"id\":\"1689\",\"type\":\"FixedTicker\"},{\"attributes\":{\"data\":{\"url\":[\"https://drive.switch.ch/index.php/apps/files_sharing/ajax/publicpreview.php?x=3360&y=1040&a=true&file=Be_window9.JPG&t=WgAa3cg9sgVJFZK&scalingup=0\"]},\"selected\":{\"id\":\"1495\"},\"selection_policy\":{\"id\":\"1494\"}},\"id\":\"1478\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"line_color\":\"green\",\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y1\"}},\"id\":\"1581\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1467\",\"type\":\"SaveTool\"},{\"attributes\":{\"line_color\":\"grey\",\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1519\",\"type\":\"Line\"},{\"attributes\":{\"data\":{},\"selected\":{\"id\":\"1543\"},\"selection_policy\":{\"id\":\"1542\"}},\"id\":\"1523\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"line_alpha\":0.6,\"line_color\":\"grey\",\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y2\"}},\"id\":\"1666\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1469\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"1554\",\"type\":\"LinearScale\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"green\",\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y2\"}},\"id\":\"1597\",\"type\":\"Line\"},{\"attributes\":{\"end\":180},\"id\":\"1694\",\"type\":\"Range1d\"},{\"attributes\":{\"label\":{\"value\":\"Be window\"},\"renderers\":[{\"id\":\"1503\"}]},\"id\":\"1517\",\"type\":\"LegendItem\"},{\"attributes\":{\"callback\":null,\"tooltips\":[[\"(gamma,delta)\",\"($x, $y)\"]]},\"id\":\"1670\",\"type\":\"HoverTool\"},{\"attributes\":{\"source\":{\"id\":\"1444\"}},\"id\":\"1522\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1495\",\"type\":\"Selection\"},{\"attributes\":{\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[361]},\"y1\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[361]},\"y2\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[361]}},\"selected\":{\"id\":\"1663\"},\"selection_policy\":{\"id\":\"1662\"}},\"id\":\"1443\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"source\":{\"id\":\"1440\"}},\"id\":\"1614\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1496\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"end\":180},\"id\":\"1695\",\"type\":\"Range1d\"},{\"attributes\":{\"source\":{\"id\":\"1437\"}},\"id\":\"1584\",\"type\":\"CDSView\"},{\"attributes\":{\"data_source\":{\"id\":\"1441\"},\"glyph\":{\"id\":\"1501\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1502\"},\"selection_glyph\":null,\"view\":{\"id\":\"1504\"}},\"id\":\"1503\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"royalblue\",\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y1\"}},\"id\":\"1612\",\"type\":\"Line\"},{\"attributes\":{\"source\":{\"id\":\"1440\"}},\"id\":\"1632\",\"type\":\"CDSView\"},{\"attributes\":{\"source\":{\"id\":\"1443\"}},\"id\":\"1647\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1566\",\"type\":\"PanTool\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"green\",\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y1\"}},\"id\":\"1582\",\"type\":\"Line\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"green\",\"line_dash\":[6],\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y1\"}},\"id\":\"1602\",\"type\":\"Line\"},{\"attributes\":{\"label\":{\"value\":\"In-vacuum detector\"},\"renderers\":[{\"id\":\"1583\"}]},\"id\":\"1594\",\"type\":\"LegendItem\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"royalblue\",\"line_dash\":[6],\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y2\"}},\"id\":\"1640\",\"type\":\"Line\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"royalblue\",\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y2\"}},\"id\":\"1630\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1660\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"data_source\":{\"id\":\"1439\"},\"glyph\":{\"id\":\"1601\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1602\"},\"selection_glyph\":null,\"view\":{\"id\":\"1604\"}},\"id\":\"1603\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"data_source\":{\"id\":\"1442\"},\"glyph\":{\"id\":\"1639\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1640\"},\"selection_glyph\":null,\"view\":{\"id\":\"1642\"}},\"id\":\"1641\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"source\":{\"id\":\"1523\"}},\"id\":\"1527\",\"type\":\"CDSView\"},{\"attributes\":{\"children\":[{\"id\":\"1547\"},{\"id\":\"1445\"}]},\"id\":\"1700\",\"type\":\"Row\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"grey\",\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y1\"}},\"id\":\"1645\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1541\",\"type\":\"Selection\"},{\"attributes\":{\"data_source\":{\"id\":\"1437\"},\"glyph\":{\"id\":\"1596\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1597\"},\"selection_glyph\":null,\"view\":{\"id\":\"1599\"}},\"id\":\"1598\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1567\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"line_alpha\":0.6,\"line_color\":\"green\",\"line_dash\":[6],\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y2\"}},\"id\":\"1606\",\"type\":\"Line\"},{\"attributes\":{\"source\":{\"id\":\"1443\"}},\"id\":\"1669\",\"type\":\"CDSView\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"orange\"},\"line_alpha\":{\"value\":0.1},\"size\":{\"units\":\"screen\",\"value\":10},\"x\":{\"value\":0},\"y\":{\"value\":0}},\"id\":\"1525\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"1543\",\"type\":\"Selection\"},{\"attributes\":{\"data_source\":{\"id\":\"1443\"},\"glyph\":{\"id\":\"1666\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1667\"},\"selection_glyph\":null,\"view\":{\"id\":\"1669\"}},\"id\":\"1668\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"axis\":{\"id\":\"1562\"},\"dimension\":1,\"ticker\":null},\"id\":\"1565\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1623\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"grey\",\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1520\",\"type\":\"Line\"},{\"attributes\":{\"fill_color\":{\"value\":\"orange\"},\"size\":{\"units\":\"screen\",\"value\":10},\"x\":{\"value\":0},\"y\":{\"value\":0}},\"id\":\"1524\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"1516\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1540\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"grey\",\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y2\"}},\"id\":\"1667\",\"type\":\"Line\"},{\"attributes\":{\"data_source\":{\"id\":\"1440\"},\"glyph\":{\"id\":\"1611\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1612\"},\"selection_glyph\":null,\"view\":{\"id\":\"1614\"}},\"id\":\"1613\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"line_alpha\":0.6,\"line_color\":\"royalblue\",\"line_dash\":[6],\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y1\"}},\"id\":\"1634\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1556\",\"type\":\"LinearScale\"},{\"attributes\":{\"source\":{\"id\":\"1442\"}},\"id\":\"1642\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1542\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"source\":{\"id\":\"1439\"}},\"id\":\"1604\",\"type\":\"CDSView\"},{\"attributes\":{\"data_source\":{\"id\":\"1440\"},\"glyph\":{\"id\":\"1629\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1630\"},\"selection_glyph\":null,\"view\":{\"id\":\"1632\"}},\"id\":\"1631\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"line_alpha\":0.6,\"line_color\":\"green\",\"line_dash\":[6],\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y1\"}},\"id\":\"1601\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1515\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"below\":[{\"id\":\"1456\"}],\"center\":[{\"id\":\"1459\"},{\"id\":\"1463\"},{\"id\":\"1498\"}],\"left\":[{\"id\":\"1460\"}],\"renderers\":[{\"id\":\"1481\"},{\"id\":\"1486\"},{\"id\":\"1503\"},{\"id\":\"1521\"},{\"id\":\"1526\"}],\"title\":{\"id\":\"1446\"},\"toolbar\":{\"id\":\"1471\"},\"x_range\":{\"id\":\"1546\"},\"x_scale\":{\"id\":\"1452\"},\"y_range\":{\"id\":\"1545\"},\"y_scale\":{\"id\":\"1454\"}},\"id\":\"1445\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"royalblue\",\"line_width\":5,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1502\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1661\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1624\",\"type\":\"Selection\"},{\"attributes\":{\"data\":{\"x\":{\"__ndarray__\":\"AAAAAAAQX0A4UEHm/A9fQFbfBZnzD19AuYhPGOQPX0CsZCFkzg9fQGPIf3yyD19A+0VwYZAPX0B2rPkSaA9fQMIHJJE5D19Aq6D42wQPX0Dl/IHzyQ5fQALfy9eIDl9AdUbjiEEOX0CJb9YG9A1fQGTTtFGgDV9AAyiPaUYNX0AzYHdO5gxfQJKrgACADF9Aina/fxMMX0BIaknMoAtfQL5sNeYnC19AnqCbzagKX0BRZZWCIwpfQPRWPQWYCV9AVk6vVQYJX0DqYAh0bghfQMzgZmDQB19As1zqGiwHX0Dtn7OjgQZfQFmy5PrQBV9AX9igIBoFX0DukgwVXQRfQGyfTdiZA19As/eKatACX0AN0uzLAAJfQCOhnPwqAV9AABTF/E4AX0D+FZLMbP9eQMLOMGyE/l5ANaLP25X9XkB2MJ4bofxeQNVVzSum+15AxSqPDKX6XkDUAxe+nfleQKRxmUCQ+F5A2kBMlHz3XkAYema5YvZeQPFhILBC9V5A3HizeBz0XkAre1oT8PJeQABhUYC98V5AOl7Vv4TwXkB14iTSRe9eQPCYf7cA7l5Ai2gmcLXsXkC1c1v8Y+teQF0YYlwM6l5A7e9+kK7oXkAvz/eYSudeQE/GE3bg5V5AvCAbKHDkXkApZVev+eJeQHNVEwx94V5AmO6aPvrfXkClaDtHcd5eQKo2Qybi3F5AqAYC3EzbXkB9wchosdleQNyK6cwP2F5AOcG3CGjWXkC2/YccutReQBUUsAgG015ApxKHzUvRXkA3QmVri89eQP0lpOLEzV5AinueM/jLXkC2OrBeJcpeQI6VNmRMyF5AP/iPRG3GXkAHCRwAiMReQCCoO5ecwl5ArO9QCqvAXkClM79Zs75eQMEB64W1vF5AaCE6j7G6XkCZkxN2p7heQNeS3zqXtl5AF5MH3oC0XkClQfZfZLJeQBaFF8FBsF5AK33YARmuXkDBgqci6qteQLon9CO1qV5A4jYvBnqnXkDgs8rJOKVeQBrbOW/xol5AniHx9qOgXkALNWZhUJ5eQIH7D6/2m15Ae5Nm4JaZXkDEU+P1MJdeQFjLAPDElF5ATcE6z1KSXkC7NA6U2o9eQKBc+T5cjV5Az6d70NeKXkDLvBVJTYheQLZ5Sam8hV5ANPSZ8SWDXkBReYsiiYBeQGeNozzmfV5AAuxoQD17XkDIh2MujnheQFuKHAfZdV5APVQeyx1zXkC4fPR6XHBeQL/RKxeVbV5A1VdSoMdqXkDtSfcW9GdeQE8Zq3saZV5AfG3/zjpiXkAOJIcRVV9eQKFQ1kNpXF5ArjyCZndZXkBxZyF6f1ZeQMuFS3+BU15AI4KZdn1QXkBHfKVgc01eQE/JCj5jSl5AfPNlD01HXkAaulTVMEReQF8RdpAOQV5AUCJqQeY9XkCYStLotzpeQHEcUYeDN15AfV6KHUk0XkCtCyOsCDFeQBRTwTPCLV5A1JcMtXUqXkDvcK0wIydeQDGpTafKI15ABj+YGWwgXkBcZDmIBx1eQIB+3vOcGV5A+CU2XSwWXkBoJvDEtRJeQGR+vSs5D15AV19QkrYLXkBYLVz5LQheQAt/lWGfBF5AfB2yywoBXkD2A2k4cP1dQOZfcqjP+V1AspCHHCn2XUCSJ2OVfPJdQHDnwBPK7l1Av8RdmBHrXUBU5fcjU+ddQEagTreO411AwH0iU8TfXUDiNjX489tdQJK1Sacd2F1AYRQkYUHUXUBWnokmX9BdQNDOQPh2zF1AXVER14jIXUCOAcTDlMRdQNTqIr+awF1AVEj5yZq8XUDDhBPllLhdQDQ6PxGJtF1A+zFLT3ewXUB6ZAegX6xdQP74RARCqF1Aj0XWfB6kXUDOzo4K9Z9dQMFHQ67Fm11AspHJaJCXXUD9u/g6VZNdQOsDqSUUj11AgtSzKc2KXUBcxvNHgIZdQHufRIEtgl1AHlOD1tR9XUCRAY5IdnldQAf4Q9gRdV1AaLCFhqdwXUAp0TRUN2xdQBctNELBZ11AMsNnUUVjXUB/vrSCw15dQNJ1Adc7Wl1AqWs1T65VXUD8TTnsGlFdQAj29q6BTF1AKWhZmOJHXUCn00ypPUNdQIaSvuKSPl1AWCmdReI5XUAPR9jSKzVdQMrEYItvMF1ApKUocK0rXUCKFiOC5SZdQAVuRMIXIl1ACiyCMUQdXUDI+dLQahhdQH6pLqGLE11APDaOo6YOXUDBw+vYuwldQDyeQkLLBF1AITqP4NT/XED0M8+02PpcQBhQAcDW9VxAmnolA8/wXEACxzx/wetcQBlwSTWu5lxAutdOJpXhXEChhlFTdtxcQC8sV71R11xAPZ5mZSfSXEDj2IdM98xcQEb+w3PBx1xAYlYl3IXCXEDWTreGRL1cQKp6hnT9t1xAIpKgprCyXECAchQeXq1cQNEd8tsFqFxAt7pK4aeiXEA0lDAvRJ1cQG8Zt8bal1xAf93yqGuSXEA4l/nW9oxcQOwg4lF8h1xAOnjEGvyBXEDQvbkydnxcQDk13JrqdlxAoERHVFlxXECbdBdgwmtcQO9var8lZlxAWANfc4NgXEBSHRV921pcQNrNrd0tVVxAPUZLlnpPXEDT2BCowUlcQNH4IhQDRFxABTqn2z4+XECfUMT/dDhcQPUQooGlMlxATG9pYtAsXECXf0Sj9SZcQEF1XkUVIVxA6qLjSS8bXEAzegGyQxVcQH6L5n5SD1xAsIXCsVsJXED4NcZLXwNcQI+HI05d/VtAgIMNulX3W0BgULiQSPFbQCAyWdM161tAv4kmgx3lW0AZ1Veh/95bQKSuJS/c2FtALM3JLbPSW0CdA3+ehMxbQMJAgYJQxltABY8N2xbAW0AqFGKp17lbQBsRvu6Ss1tAoOFhrEitW0Af/I7j+KZbQGHxh5WjoFtAT2yQw0iaW0CtMe1u6JNbQOEf5JiCjVtAri68QheHW0Dvbr1tpoBbQGAKMRsweltAT0NhTLRzW0BjdJkCM21bQFkQJj+sZltAwKFUAyBgW0C2ynNQjllbQKNE0yf3UltA/t/DilpMW0ABhJd6uEVbQGouofgQP1tANvM0BmQ4W0Bf/KeksTFbQJWJUNX5KltA+++FmTwkW0DjmaDyeR1bQIoG+uGxFltAz8nsaOQPW0D0i9SIEQlbQFEJDkM5AltAFxL3mFv7WkADiu6LePRaQBxoVB2Q7VpAa7aJTqLmWkC2kfAgr99aQDQp7JW22FpAUL7grrjRWkBbpDNttcpaQENAS9Ksw1pATwiP3568WkDag2eWi7VaQAZLPvhyrlpAdAZ+BlWnWkD8bpLCMaBaQGpN6C0JmVpALnrtSduRWkAT3RAYqIpaQP5swplvg1pAmi9z0DF8WkAVOZW97nRaQNWrm2KmbVpALLj6wFhmWkARnCfaBV9aQM+imK+tV1pAxSTFQlBQWkAQhyWV7UhaQEY7M6iFQVpAKb9ofRg6WkBdnEEWpjJaQBloOnQuK1pA3sLQmLEjWkAqWIOFLxxaQCze0TuoFFpAdRU9vRsNWkCuyEYLigVaQErMcSfz/VlAOf5BE1f2WUCaRTzQte5ZQG2S5l8P51lARt3Hw2PfWUABJ2j9stdZQG54UA79z1lACeIK+EHIWUCneyK8gcBZQChkI1y8uFlAKcGa2fGwWUC1vhY2IqlZQPWOJnNNoVlA22laknOZWUDgjEOVlJFZQKM6dH2wiVlApLp/TMeBWUDwWPoD2XlZQNBleaXlcVlAejWTMu1pWUC6H9+s72FZQKx/9RXtWVlAXbNvb+VRWUCFG+i62ElZQCwb+vnGQVlAXhdCLrA5WUDUdl1ZlDFZQKih6nxzKVlA/QCJmk0hWUCp/tizIhlZQOwEfMryEFlAFH4U4L0IWUAr1EX2gwBZQKdwtA5F+FhAFLwFKwHwWEC8HeBMuOdYQFn76nVq31hAvrjOpxfXWECAtzTkv85YQKZWxyxjxlhATPIxgwG+WEBX4yDpmrVYQBp/QWAvrVhAABdC6r6kWEA4+NGISZxYQGBroT3Pk1hAK7RhClCLWEANEcXwy4JYQOS6fvJCelhAouRCEbVxWED1usZOImlYQOxjwKyKYFhAp/7mLO5XWED7ovLQTE9YQBhhnJqmRlhAN0Gei/s9WEA9Q7OlSzVYQGNel+qWLFhA34AHXN0jWECMj8H7HhtYQIxlhMtbElhA9NMPzZMJWEByoSQCxwBYQPGJhGz191dAQT7yDR/vV0C6YzHoQ+ZXQOiTBv1j3VdALFw3Tn/UV0BfPYrdlctXQIGrxqynwldAUg21vbS5V0D/ux4SvbBXQMUCzqvAp1dAkh6OjL+eV0CxPSu2uZVXQGR/ciqvjFdAkfMx65+DV0Bhmjj6i3pXQONjVllzcVdAtC9cClZoV0CczBsPNF9XQDb4Z2kNVldAkF4UG+JMV0DPmfUlskNXQNMx4Yt9OldA1JutTkQxV0AJOjJwBihXQElbR/LDHldAqzrG1nwVV0Ap/4gfMQxXQEC7as7gAldAk2xH5Yv5VkCL+/tlMvBWQPg6ZlLU5lZAsOdkrHHdVkA0qNd1CtRWQEgMn7CeylZAnYycXi7BVkBrirKBubdWQA9PxBtArlZAsQu2LsKkVkDd2Gy8P5tWQCW2zsa4kVZAwonCTy2IVkAtIDBZnX5WQMQrAOUIdVZAZkQc9W9rVkAO526L0mFWQHV146kwWFZAsTVmUopOVkDNUeSG30RWQG3XS0kwO1ZAZ7eLm3wxVkBkxZN/xCdWQHa3VPcHHlZAvyXABEcUVkAEisipgQpWQFA/Yei3AFZAjIF+wun2VUAhbRU6F+1VQIv+G1FA41VA/hGJCWXZVUD7YlRlhc9VQPCLdmahxVVAzwXpDrm7VUCtJ6ZgzLFVQFomqV3bp1VA/hPuB+adVUCx33Fh7JNVQBpVMmzuiVVAARwuKux/VUD0t2Sd5XVVQNiH1sfaa1VAhcWEq8thVUBjhXFKuFdVQP61n6agTVVAoh8TwoRDVUD5Y9CeZDlVQJj93D5AL1VAoj8/pBclVUBcVf7Q6hpVQMhBIse5EFVAOt+ziIQGVUDy3rwXS/xUQLPIR3YN8lRAXPpfpsvnVEB/pxGqhd1UQPbYaYM701RAf2x2NO3IVEBNFEa/mr5UQKRW6CVEtFRAb41taumpVEDS5eaOip9UQMdfZpUnlVRArs3+f8CKVEDo08NQVYBUQGnoyQnmdVRAUVImrXJrVEB9Ke88+2BUQCVWO7t/VlRAZpAiKgBMVEDeX72LfEFUQEIbJeL0NlRA7udzL2ksVEB8ucR12SFUQFhRM7dFF1RAVT7c9a0MVEBA3NwzEgJUQHdTU3Ny91NAdphets7sU0Bxax7/JuJTQOdXs09711NAL7Q+qsvMU0AUoeIQGMJTQGMJwoVgt1NAfaEAC6WsU0Ds5sKi5aFTQPMfLk8il1NAJVtoEluMU0Dzbpjuj4FTQD755eXAdlNA6155+u1rU0B1y3suF2FTQHswF4Q8VlNAVUV2/V1LU0CmhsSce0BTQOc1LmSVNVNAAVngVasqU0DUuQh0vR9TQM/l1cDLFFNAgS13PtYJU0AgpBzv3P5SQCUf99Tf81JA1TU48t7oUkDQQBJJ2t1SQKhZuNvR0lJAaFperMXHUkAp3Ti9tbxSQKA7fRCisVJAqo5hqIqmUkDirRyHb5tSQCcv5q5QkFJAMmb2IS6FUkAjZIbiB3pSQAv3z/LdblJAfqkNVbBjUkAiwnoLf1hSQDtDUxhKTVJAOOrTfRFCUkBFLzo+1TZSQNBExFuVK1JAJBex2FEgUkDkS0C3ChVSQKtBsvm/CVJAjA9IonH+UUCjhEOzH/NRQKEn5y7K51FAWjZ2F3HcUUBRpTRvFNFRQEQfZzi0xVFAtARTdVC6UUB5az4o6a5RQEcecFN+o1FAPJwv+Q+YUUBsGMUbnoxRQG95eb0ogVFA41iW4K91UUADA2aHM2pRQCh2M7SzXlFAW2JKaTBTUUDdKPeoqUdRQK3bhnUfPFFAHD1H0ZEwUUBPv4a+ACVRQMyDlD9sGVFABVvAVtQNUUDiw1oGOQJRQEXrtFCa9lBAoKsgOPjqUEBujPC+Ut9QQMvBd+ep01BA9ysKtP3HUEDYVvwmTrxQQJV5o0KbsFBAC3ZVCeWkUEBl2Gh9K5lQQJjWNKFujVBA9k8Rd66BUECvzFYB63VQQF59XkIkalBAjDqCPFpeUEA+hBzyjFJQQHaBiGW8RlBAv/8hmeg6UECzckWPES9QQIjzT0o3I1BAh0CfzFkXUECpvJEYeQtQQBTeDGEq/09AAgW6LVznT0Auiuubh89PQDdPY7Cst09AO3rkb8ufT0ABdTPf44dPQOXrFQP2b09ABs1S4AFYT0AxR7J7B0BPQArJ/dkGKE9A/v////8PT0Bm14Ty8vdOQHh3Wbbf305AbURMUMbHTkBx3SzFpq9OQMYbzBmBl05AuxH8UlV/TkC2CZB1I2dOQFWFXIbrTk5AVTw3iq02TkC3G/eFaR5OQLREdH4fBk5A3AuIeM/tTUAC+Ax5edVNQGHB3oQdvU1Ah1DaoLukTUB8vd3RU4xNQKhOyBzmc01A+3d6hnJbTUDR2dUT+UJNQB5Avcl5Kk1AT6EUrfQRTUByHcHCaflMQB79qA/Z4ExAlLCzmELITECpzslipq9MQOgT1XIEl0xAeWHAzVx+TEBDvHd4r2VMQNNL6Hf8TExAgFkA0UM0TEBPT6+IhRtMQBW35aPBAkxAWjmVJ/jpS0CBnLAYKdFLQKjDK3xUuEtAyK37VnqfS0CgdBaumoZLQMxLc4a1bUtAsn8K5cpUS0CedNXO2jtLQKSlzkjlIktAw6PxV+oJS0DKFDsB6vBKQG+yqEnk10pAO0k5Ntm+SkCjt+zLyKVKQO7sww+zjEpAUOjABphzSkDOt+a1d1pKQF13OSJSQUpAwE++UCcoSkCpdXtG9w5KQJ0oeAjC9UlA/rG8m4fcSUAUZFIFSMNJQPKYQ0oDqklAlLGbb7mQSUC9FGd6andJQBUus28WXklACG2OVL1ESUDdQwguXytJQKEmMQH8EUlANIoa05P4SEA049aoJt9IQA+leYe0xUhA6EAXdD2sSECsJMVzwZJIQPS5mYtAeUhAHmWswLpfSEAthBUYMEZIQNlt7pagLEhAfXBRQgwTSEAf0Vkfc/lHQFrKIzPV30dAbovMgjLGR0AiN3ITi6xHQNziM+rekkdAe5UxDC55R0BvRox+eF9HQJfcZUa+RUdAWS3haP8rR0B5+yHrOxJHQDb2TNJz+EZAI7iHI6feRkA8xvjj1cRGQMSOxxgAq0ZAWGgcxyWRRkDOkCD0RndGQEcs/qRjXUZACkTg3ntDRkCdxfKmjylGQJuBYgKfD0ZAzCpd9qn1RUD6VBGIsNtFQAt0rryywUVA3NpkmbCnRUBLumUjqo1FQB4g41+fc0VADPYPVJBZRUCdACAFfT9FQDDeR3hlJUVA8gW9skkLRUDGxrW5KfFEQEtGaZIF10RAwX8PQt28REASQ+HNsKJEQK4zGDuAiERAncfujktuREBYRqDOElREQNXHaP/VOURAZTOFJpUfREDAPjNJUAVEQOVssWwH60NAHg0/lrrQQ0DgORzLabZDQNrXiRAVnENAy5TJa7yBQ0CT5h3iX2dDQAQKynj/TENA+gESNZsyQ0AvljocMxhDQEVSiTPH/UJAoYREgFfjQkB8PbMH5MhCQLBNHc9srkJA0UXL2/GTQkD7dAYzc3lCQOXnGNrwXkJAs2dN1mpEQkAFee8s4SlCQMxaS+NTD0JAWwWu/sL0QUAzKWWELtpBQBwuv3mWv0FA8DEL5PqkQUCqB5nIW4pBQD82uSy5b0FApfe8FRNVQUCpN/aIaTpBQP+St4u8H0FADlZUIwwFQUAFfCBVWOpAQKStcCahz0BAU0CanOa0QEDxNPO8KJpAQNE20oxnf0BAspqOEaNkQECaXYBQ20lAQNgjAE8QL0BA3zdnEkIUQECfEh9A4fI/QItXp/o3vT9A0qsdX4iHP0BwwDl40lE/QDaItFAWHD9AWzVI81PmPkCfN7Bqi7A+QOM5qcG8ej5AQCDxAuhEPkCvBUc5DQ8+QBU6a28s2T1A6T8fsEWjPUBFyiUGWW09QIq6QnxmNz1AbR47HW4BPUCgLdXzb8s8QN5H2ApslTxAjPIMbWJfPEDO1jwlUyk8QCK/Mj4+8ztAd5W6wiO9O0DIYKG9A4c7QCxDtTneUDtAe3fFQbMaO0BZT6LgguQ6QNUwHSFNrjpAe5QIDhJ4OkDzAjiy0UE6QAoTgBiMCzpAV2e2S0HVOUBLrLFW8Z45QMKVSUScaDlAJd1WH0IyOUDzPrPy4vs4QN54Ocl+xThAYEfFrRWPOEDMYzOrp1g4QOiBYcw0IjhA+00uHL3rN0BqanmlQLU3QMRtI3O/fjdAZuANkDlIN0BfOhsHrxE3QGHhLuMf2zZAXCYtL4ykNkCOQ/v18202QBtaf0JXNzZAHnCgH7YANkA4bkaYEMo1QKkdWrdmkzVA4SXFh7hcNUCLCnIUBiY1QCwpTGhP7zRAJ7c/jpS4NEBcvzmR1YE0QC8gKHwSSzRAH4n5WUsUNEDYeJ01gN0zQL46BBqxpjNABeUeEt5vM0A/Vt8oBzkzQGwzOGksAjNAi+Uc3k3LMkCql4GSa5QyQHc0W5GFXTJAUGSf5ZsmMkDTikSaru8xQOvEQbq9uDFAZOaOUMmBMUD4dyRo0UoxQOC0+wvWEzFA3YgOR9fcMEDSjVck1aUwQMoJ0q7PbjBAiOx58cY3MECbzUv3ugAwQMnTiZZXky9AXkPG8DIlL0Bt7EkTCLcuQG8PExTXSC5AASYhCaDaLUD33nQIY2wtQH0ZECgg/ixAMeH1fdePLEA8aSogiSEsQG4IsyQ1sytAXTSWodtEK0B4fdusfNYqQDWKi1wYaCpA2xKwxq75KUBM3VMBQIspQC24giLMHClA/3ZJQFOuKEA87bVw1T8oQGrq1slS0SdAOjW8YctiJ0CZh3ZOP/QmQNKJF6auhSZAnM6xfhkXJkA4zljuf6glQIriIAviOSVAKkIf6z/LJECE/GmkmVwkQOj0F03v7SNAot5A+0B/I0AYOP3EjhAjQNZGZsDYoSJArxKWAx8zIkDKYaekYcQhQMKztbmgVSFAtD3dWNzmIEBX5TqYFHggQBY97I1JCSBARP4eoPY0H0ANE4fpU1ceQIayTySreR1AvAy5fPybHED1fQQfSL4bQNiGdDeO4BpAncJM8s4CGkAw39F7CiUZQGKTSQBBRxhACpf6q3JpF0A0mSyrn4sWQEg4KCrIrRVAOPg2VezPFECcOqNYDPITQOk0uGAoFBNAjejBmUA2EkAkGQ0wVVgRQJNE509mehBAcTI9S+g4D0Ah3AO7/XwNQLxxwUcNwQtAngwWShcFCkCT4KIaHEkIQN8qChIcjQZARSHviBfRBECl3vXXDhUDQDxTw1cCWQFA9mH6weQ5/z+Xt5OYvsH7P9KroOSSSfg/P2BwV2LR9D9R7FKiLVnxP6N7Mu3qwes/LuMpC3XR5D8S0GAC9sHbP+jNrMf4wcs/VUOVFMghAT2mz6zH+MHLv//OYAL2wdu/neMpC3XR5L8ZezLt6sHrv4nsUqItWfG/+19wV2LR9L8JrKDkkkn4v1O3k5i+wfu/LmL6weQ5/78aU8NXAlkBwMHe9dcOFQPAIiHviBfRBMD6KgoSHI0GwHHgohocSQjAugwWShcFCsDXccFHDcELwD3cA7v9fA3AjjI9S+g4D8ChROdPZnoQwDIZDTBVWBHAm+jBmUA2EsD2NLhgKBQTwKo6o1gM8hPARvg2VezPFMBXOCgqyK0VwEKZLKufixbAGJf6q3JpF8Bxk0kAQUcYwD/f0XsKJRnAq8JM8s4CGsDHhnQ3juAawAN+BB9IvhvArAy5fPybHMCVsk8kq3kdwPsSh+lTVx7AUv4eoPY0H8AOPeyNSQkgwF7lOpgUeCDAqz3dWNzmIMDJs7W5oFUhwMJhp6RhxCHAthKWAx8zIsDNRmbA2KEiwB84/cSOECPAmd5A+0B/I8Dv9BdN7+0jwHz8aaSZXCTAMUIf6z/LJMCB4iAL4jklwD/OWO5/qCXAk86xfhkXJsDZiRemroUmwJGHdk4/9CbAQDW8YctiJ8Bi6tbJUtEnwEPttXDVPyjA93ZJQFOuKMA0uIIizBwpwEPdUwFAiynA4hKwxq75KcAsiotcGGgqwH9926x81irAZDSWodtEK8B1CLMkNbMrwENpKiCJISzAOOH1fdePLMCFGRAoIP4swP7edAhjbC3ACCYhCaDaLcB2DxMU10guwHPsSRMIty7AZkPG8DIlL8DR04mWV5MvwJ7NS/e6ADDAjOx58cY3MMDOCdKuz24wwNaNVyTVpTDA2YgOR9fcMMDjtPsL1hMxwPR3JGjRSjHAaOaOUMmBMcDnxEG6vbgxwNaKRJqu7zHATGSf5ZsmMsB7NFuRhV0ywKWXgZJrlDLAjuUc3k3LMsBoMzhpLAIzwENW3ygHOTPAAeUeEt5vM8DBOgQasaYzwNN4nTWA3TPAI4n5WUsUNMArICh8Eks0wGC/OZHVgTTAI7c/jpS4NMAvKUxoT+80wIcKchQGJjXA5CXFh7hcNcCmHVq3ZpM1wDtuRpgQyjXAGnCgH7YANsAfWn9CVzc2wIpD+/XzbTbAXyYtL4ykNsBd4S7jH9s2wGM6GwevETfAYeANkDlIN8DIbSNzv343wG5qeaVAtTfA/k0uHL3rN8DrgWHMNCI4wNBjM6unWDjAY0fFrRWPOMDheDnJfsU4wPY+s/Li+zjAKN1WH0IyOcDGlUlEnGg5wE2ssVbxnjnAW2e2S0HVOcANE4AYjAs6wPYCOLLRQTrAf5QIDhJ4OsDYMB0hTa46wFVPouCC5DrAfnfFQbMaO8AoQ7U53lA7wMtgob0DhzvAc5W6wiO9O8AmvzI+PvM7wMnWPCVTKTzAj/IMbWJfPMDaR9gKbJU8wKMt1fNvyzzAaR47HW4BPcCNukJ8Zjc9wEHKJQZZbT3A7T8fsEWjPcAROmtvLNk9wLMFRzkNDz7APCDxAuhEPsDlOanBvHo+wJs3sGqLsD7AXzVI81PmPsAyiLRQFhw/wHTAOXjSUT/AzqsdX4iHP8CPV6f6N70/wJsSH0Dh8j/A4TdnEkIUQMDVIwBPEC9AwJtdgFDbSUDAsJqOEaNkQMDTNtKMZ39AwO8087womkDAVUCanOa0QMCmrXAmoc9AwAZ8IFVY6kDAEFZUIwwFQcABk7eLvB9BwKo39ohpOkHApve8FRNVQcA/NrksuW9BwKsHmchbikHA8jEL5PqkQcAeLr95lr9BwDUpZYQu2kHAXQWu/sL0QcDOWkvjUw9CwAZ57yzhKULAtGdN1mpEQsDj5xja8F5CwPx0BjNzeULAz0XL2/GTQsCxTR3PbK5CwHk9swfkyELAo4REgFfjQsBDUokzx/1CwDGWOhwzGEPA+AESNZsyQ8AGCsp4/0xDwJHmHeJfZ0PAzZTJa7yBQ8DY14kQFZxDwOI5HMtptkPAHA0/lrrQQ8DnbLFsB+tDwL8+M0lQBUTAZjOFJpUfRMDTx2j/1TlEwFlGoM4SVETAm8fujktuRMCvMxg7gIhEwBBD4c2wokTAw38PQt28RMBJRmmSBddEwMbGtbkp8UTA8QW9skkLRcAx3kd4ZSVFwJsAIAV9P0XADfYPVJBZRcAgIONfn3NFwE26ZSOqjUXA3NpkmbCnRcANdK68ssFFwPtUEYiw20XAzSpd9qn1RcCdgWICnw9GwJ/F8qaPKUbADETg3ntDRsBILP6kY11GwM+QIPRGd0bAWmgcxyWRRsDFjscYAKtGwD7G+OPVxEbAJbiHI6feRsA49kzSc/hGwHr7Ies7EkfAVy3haP8rR8CZ3GVGvkVHwG1GjH54X0fAfZUxDC55R8Da4jPq3pJHwCQ3chOLrEfAbIvMgjLGR8BbyiMz1d9HwB3RWR9z+UfAfnBRQgwTSMDXbe6WoCxIwC6EFRgwRkjAHGWswLpfSMD1uZmLQHlIwKokxXPBkkjA6kAXdD2sSMANpXmHtMVIwDbj1qgm30jAMooa05P4SMCjJjEB/BFJwNtDCC5fK0nACW2OVL1EScATLrNvFl5JwL4UZ3pqd0nAkrGbb7mQScDzmENKA6pJwBJkUgVIw0nA/LG8m4fcScCfKHgIwvVJwKt1e0b3DkrAwk++UCcoSsBbdzkiUkFKwNO35rV3WkrAUejABphzSsDw7MMPs4xKwKG37MvIpUrAQEk5Ntm+SsBxsqhJ5NdKwMwUOwHq8ErAwaPxV+oJS8Cppc5I5SJLwJ901c7aO0vAs38K5cpUS8DKS3OGtW1LwKV0Fq6ahkvAyq37VnqfS8Cpwyt8VLhLwH+csBgp0UvAWDmVJ/jpS8AWt+WjwQJMwFFPr4iFG0zAf1kA0UM0TMDRS+h3/ExMwES8d3ivZUzAe2HAzVx+TMDmE9VyBJdMwKjOyWKmr0zAlrCzmELITMAg/agP2eBMwHAdwcJp+UzATaEUrfQRTcAfQL3JeSpNwNPZ1RP5Qk3A+Xd6hnJbTcCmTsgc5nNNwH293dFTjE3AiFDaoLukTcBfwd6EHb1NwAD4DHl51U3A3guIeM/tTcC2RHR+HwZOwLUb94VpHk7AUzw3iq02TsBXhVyG605OwLgJkHUjZ07AuRH8UlV/TsDEG8wZgZdOwHbdLMWmr07AbkRMUMbHTsB5d1m2399OwGTXhPLy907ABAAAAAAQT8AMyf3ZBihPwDNHsnsHQE/ABM1S4AFYT8Dp6xUD9m9PwAN1M9/jh0/APXrkb8ufT8A1T2OwrLdPwDKK65uHz0/ABAW6LVznT8AW3gxhKv9PwKi8kRh5C1DAhkCfzFkXUMCI809KNyNQwLRyRY8RL1DAvv8hmeg6UMB1gYhlvEZQwD+EHPKMUlDAjTqCPFpeUMBdfV5CJGpQwK7MVgHrdVDA908Rd66BUMCZ1jShbo1QwGXYaH0rmVDACnZVCeWkUMCWeaNCm7BQwNhW/CZOvFDA9isKtP3HUMDKwXfnqdNQwG+M8L5S31DAoKsgOPjqUMBF67RQmvZQwOHDWgY5AlHAB1vAVtQNUcDMg5Q/bBlRwE+/hr4AJVHAGz1H0ZEwUcCv24Z1HzxRwN0o96ipR1HAW2JKaTBTUcAndjO0s15RwAUDZoczalHA5FiW4K91UcBveXm9KIFRwGwYxRuejFHAPpwv+Q+YUcBHHnBTfqNRwHlrPijprlHAswRTdVC6UcBFH2c4tMVRwFKlNG8U0VHAWjZ2F3HcUcCgJ+cuyudRwKSEQ7Mf81HAjQ9IonH+UcCrQbL5vwlSwONLQLcKFVLAIhex2FEgUsDRRMRblStSwEQvOj7VNlLAN+rTfRFCUsA5Q1MYSk1SwCPCegt/WFLAfqkNVbBjUsAK98/y3W5SwCJkhuIHelLANGb2IS6FUsAoL+auUJBSwOKtHIdvm1LAqY5hqIqmUsChO30QorFSwCrdOL21vFLAaFperMXHUsCnWbjb0dJSwNFAEkna3VLA1TU48t7oUsAlH/fU3/NSwB+kHO/c/lLAgi13PtYJU8DQ5dXAyxRTwNS5CHS9H1PAAFngVasqU8DpNS5klTVTwKaGxJx7QFPAVUV2/V1LU8B6MBeEPFZTwHbLey4XYVPA6155+u1rU8A++eXlwHZTwPJumO6PgVPAJltoEluMU8DzHy5PIpdTwOzmwqLloVPAfKEAC6WsU8BlCcKFYLdTwBWh4hAYwlPAL7Q+qsvMU8DmV7NPe9dTwHNrHv8m4lPAdphets7sU8B3U1NzcvdTwEDc3DMSAlTAVj7c9a0MVMBZUTO3RRdUwHy5xHXZIVTA7edzL2ksVMBBGyXi9DZUwN9fvYt8QVTAZpAiKgBMVMAlVju7f1ZUwHwp7zz7YFTAUlImrXJrVMBq6MkJ5nVUwOjTw1BVgFTArc3+f8CKVMDJX2aVJ5VUwNPl5o6Kn1TAb41taumpVMCkVuglRLRUwE4URr+avlTAf2x2NO3IVMD22GmDO9NUwH6nEaqF3VTAXfpfpsvnVMCzyEd2DfJUwPLevBdL/FTAOd+ziIQGVcDJQSLHuRBVwF1V/tDqGlXAoj8/pBclVcCX/dw+QC9VwPpj0J5kOVXAox8TwoRDVcD+tZ+moE1VwGKFcUq4V1XAh8WEq8thVcDYh9bH2mtVwPS3ZJ3ldVXAARwuKux/VcAbVTJs7olVwLLfcWHsk1XA/hPuB+adVcBZJqld26dVwK8npmDMsVXAzwXpDrm7VcDwi3ZmocVVwPpiVGWFz1XAABKJCWXZVcCL/htRQONVwCFtFToX7VXAjIF+wun2VcBOP2HotwBWwASKyKmBClbAvyXABEcUVsB1t1T3Bx5WwGLFk3/EJ1bAaLeLm3wxVsBt10tJMDtWwM1R5IbfRFbAsDVmUopOVsB3deOpMFhWwA7nbovSYVbAZkQc9W9rVsDEKwDlCHVWwC4gMFmdflbAwonCTy2IVsAlts7GuJFWwNzYbLw/m1bAsgu2LsKkVsAQT8QbQK5WwGuKsoG5t1bAnYycXi7BVsBJDJ+wnspWwDSo13UK1FbAsOdkrHHdVsD3OmZS1OZWwIz7+2Uy8FbAk2xH5Yv5VsBAu2rO4AJXwCj/iB8xDFfArDrG1nwVV8BKW0fywx5XwAk6MnAGKFfA1JutTkQxV8DUMeGLfTpXwNCZ9SWyQ1fAj14UG+JMV8A1+GdpDVZXwJzMGw80X1fAtC9cClZoV8DjY1ZZc3FXwGCaOPqLelfAk/Mx65+DV8Blf3Iqr4xXwLA9K7a5lVfAkh6OjL+eV8DGAs6rwKdXwAC8HhK9sFfAUQ21vbS5V8CAq8asp8JXwF49it2Vy1fALFw3Tn/UV8Dokwb9Y91XwLpjMehD5lfAQD7yDR/vV8DyiYRs9fdXwHOhJALHAFjA9NMPzZMJWMCLZYTLWxJYwI2PwfseG1jA4IAHXN0jWMBjXpfqlixYwDxDs6VLNVjAOEGei/s9WMAZYZyapkZYwPui8tBMT1jAp/7mLO5XWMDtY8CsimBYwPa6xk4iaVjAouRCEbVxWMDkun7yQnpYwA8RxfDLgljAK7RhClCLWMBga6E9z5NYwDf40YhJnFjAARdC6r6kWMAbf0FgL61YwFfjIOmatVjAS/IxgwG+WMCnVscsY8ZYwIG3NOS/zljAvbjOpxfXWMBY++p1at9YwL0d4Ey451jAFLwFKwHwWMCncLQORfhYwCrURfaDAFnAFH4U4L0IWcDtBHzK8hBZwKn+2LMiGVnA/ACJmk0hWcCqoep8cylZwNV2XVmUMVnAXhdCLrA5WcArG/r5xkFZwIQb6LrYSVnAXrNvb+VRWcCsf/UV7VlZwLof36zvYVnAeDWTMu1pWcDRZXml5XFZwPBY+gPZeVnApLp/TMeBWcCiOnR9sIlZwOGMQ5WUkVnA3GlaknOZWcD0jiZzTaFZwLS+FjYiqVnAKsGa2fGwWcAoZCNcvLhZwKZ7IryBwFnACeIK+EHIWcBveFAO/c9ZwAEnaP2y11nARt3Hw2PfWcBskuZfD+dZwJtFPNC17lnAOf5BE1f2WcBKzHEn8/1ZwK7IRguKBVrAdhU9vRsNWsAt3tE7qBRawCpYg4UvHFrA3cLQmLEjWsAaaDp0LitawF2cQRamMlrAKb9ofRg6WsBGOzOohUFawBGHJZXtSFrAxSTFQlBQWsDPopivrVdawBCcJ9oFX1rALbj6wFhmWsDVq5tipm1awBU5lb3udFrAmS9z0DF8WsD+bMKZb4NawBPdEBioilrALXrtSduRWsBqTegtCZlawPxuksIxoFrAdAZ+BlWnWsAGSz74cq5awNqDZ5aLtVrATgiP3568WsBDQEvSrMNawFukM221ylrAUL7grrjRWsA0KeyVtthawLaR8CCv31rAbLaJTqLmWsAcaFQdkO1awAKK7ot49FrAGBL3mFv7WsBRCQ5DOQJbwPSL1IgRCVvAz8nsaOQPW8CLBvrhsRZbwOSZoPJ5HVvA+++FmTwkW8CViVDV+SpbwGD8p6SxMVvANvM0BmQ4W8BqLqH4ED9bwAGEl3q4RVvA/9/DilpMW8CkRNMn91JbwLbKc1COWVvAwKFUAyBgW8BaECY/rGZbwGN0mQIzbVvAT0NhTLRzW8BgCjEbMHpbwPBuvW2mgFvAri68QheHW8DhH+SYgo1bwKwx7W7ok1vAT2yQw0iaW8Bi8YeVo6BbwB/8juP4plvAn+FhrEitW8AcEb7ukrNbwCsUYqnXuVvABY8N2xbAW8DCQIGCUMZbwJ4Df56EzFvALM3JLbPSW8CkriUv3NhbwBnVV6H/3lvAv4kmgx3lW8AgMlnTNetbwGBQuJBI8VvAgIMNulX3W8CPhyNOXf1bwPg1xktfA1zAsIXCsVsJXMB9i+Z+Ug9cwDJ6AbJDFVzA6qLjSS8bXMBBdV5FFSFcwJd/RKP1JlzAS29pYtAsXMD1EKKBpTJcwJ9QxP90OFzABTqn2z4+XMDQ+CIUA0RcwNTYEKjBSVzAPUZLlnpPXMDaza3dLVVcwFEdFX3bWlzAWQNfc4NgXMDwb2q/JWZcwJt0F2DCa1zAoERHVFlxXMA5Ndya6nZcwNC9uTJ2fFzAOnjEGvyBXMDsIOJRfIdcwDiX+db2jFzAf93yqGuSXMBvGbfG2pdcwDOUMC9EnVzAuLpK4aeiXMDRHfLbBahcwIByFB5erVzAIpKgprCyXMCreoZ0/bdcwNZOt4ZEvVzAYlYl3IXCXMBF/sNzwcdcwOTYh0z3zFzAPZ5mZSfSXMAvLFe9UddcwKGGUVN23FzAutdOJpXhXMAZcEk1ruZcwALHPH/B61zAmnolA8/wXMAYUAHA1vVcwPUzz7TY+lzAITqP4NT/XMA8nkJCywRdwMHD69i7CV3APTaOo6YOXcB+qS6hixNdwMj50tBqGF3ACSyCMUQdXcAGbkTCFyJdwIoWI4LlJl3ApKUocK0rXcDJxGCLbzBdwBBH2NIrNV3AWCmdReI5XcCGkr7ikj5dwKfTTKk9Q13AKWhZmOJHXcAI9vaugUxdwPxNOewaUV3AqWs1T65VXcDTdQHXO1pdwH++tILDXl3AMsNnUUVjXcAWLTRCwWddwCnRNFQ3bF3AabCFhqdwXcAH+EPYEXVdwJEBjkh2eV3AHlOD1tR9XcB8n0SBLYJdwFzG80eAhl3AgtSzKc2KXcDsA6klFI9dwP27+DpVk13AspHJaJCXXcDAR0OuxZtdwM/Ojgr1n13AkEXWfB6kXcD++EQEQqhdwHpkB6BfrF3A/DFLT3ewXcA1Oj8RibRdwMOEE+WUuF3AVEj5yZq8XcDT6iK/msBdwI4BxMOUxF3AXVER14jIXcDQzkD4dsxdwFWeiSZf0F3AYRQkYUHUXcCTtUmnHdhdwOI2Nfjz213AwH0iU8TfXcBGoE63juNdwFTl9yNT513AvsRdmBHrXcBw58ATyu5dwJMnY5V88l3AspCHHCn2XcDmX3Koz/ldwPUDaThw/V3AfB2yywoBXsAMf5VhnwRewFgtXPktCF7AVl9QkrYLXsBkfr0rOQ9ewGgm8MS1El7A+CU2XSwWXsCAft7znBlewF1kOYgHHV7ABj+YGWwgXsAxqU2nyiNewO9wrTAjJ17A1JcMtXUqXsAUU8Ezwi1ewK0LI6wIMV7AfV6KHUk0XsBxHFGHgzdewJhK0ui3Ol7AUCJqQeY9XsBfEXaQDkFewBq6VNUwRF7AfPNlD01HXsBPyQo+Y0pewEd8pWBzTV7AI4KZdn1QXsDLhUt/gVNewHFnIXp/Vl7ArjyCZndZXsChUNZDaVxewA8khxFVX17AfG3/zjpiXsBPGat7GmVewO1J9xb0Z17A1ldSoMdqXsC/0SsXlW1ewLh89HpccF7APFQeyx1zXsBbihwH2XVewMiHYy6OeF7AAuxoQD17XsBnjaM85n1ewFF5iyKJgF7ANPSZ8SWDXsC2eUmpvIVewMq8FUlNiF7Az6d70NeKXsCgXPk+XI1ewLs0DpTaj17ATcE6z1KSXsBZywDwxJRewMRT4/Uwl17Ae5Nm4JaZXsCB+w+v9ptewAw1ZmFQnl7AniHx9qOgXsAa2zlv8aJewOCzysk4pV7A4zYvBnqnXsC6J/QjtalewMGCpyLqq17AKn3YARmuXsAWhRfBQbBewKVB9l9ksl7AF5MH3oC0XsDXkt86l7ZewJmTE3anuF7AaCE6j7G6XsDBAeuFtbxewKUzv1mzvl7Are9QCqvAXsAgqDuXnMJewAcJHACIxF7AP/iPRG3GXsCOlTZkTMhewLc6sF4lyl7AinueM/jLXsD9JaTixM1ewDZCZWuLz17ApxKHzUvRXsAVFLAIBtNewLb9hxy61F7AOcG3CGjWXsDciunMD9hewH3ByGix2V7AqAYC3EzbXsCqNkMm4txewKVoO0dx3l7AmO6aPvrfXsBzVRMMfeFewCllV6/54l7AvSAbKHDkXsBPxhN24OVewC/P95hK517A7O9+kK7oXsBdGGJcDOpewLVzW/xj617Ai2gmcLXsXsDwmH+3AO5ewHXiJNJF717AOl7Vv4TwXsAAYVGAvfFewCt7WhPw8l7A3HizeBz0XsDxYSCwQvVewBh6Zrli9l7A2kBMlHz3XsCkcZlAkPhewNQDF76d+V7AxSqPDKX6XsDVVc0rpvtewHcwnhuh/F7ANaLP25X9XsDCzjBshP5ewP4Vksxs/17AABTF/E4AX8AkoZz8KgFfwA3S7MsAAl/As/eKatACX8Bsn03YmQNfwO6SDBVdBF/AX9igIBoFX8BYsuT60AVfwOyfs6OBBl/As1zqGiwHX8DM4GZg0AdfwOpgCHRuCF/AVk6vVQYJX8D0Vj0FmAlfwFFllYIjCl/AnqCbzagKX8C+bDXmJwtfwEhqScygC1/Aina/fxMMX8CSq4AAgAxfwDNgd07mDF/AAyiPaUYNX8Bk07RRoA1fwIlv1gb0DV/AdUbjiEEOX8AC38vXiA5fwOX8gfPJDl/Aq6D42wQPX8DCBySROQ9fwHas+RJoD1/A+0VwYZAPX8BjyH98sg9fwKxkIWTOD1/AuYhPGOQPX8BW3wWZ8w9fwDhQQeb8D1/AAAAAAAAQX8A4UEHm/A9fwFbfBZnzD1/AuYhPGOQPX8CsZCFkzg9fwGPIf3yyD1/A+0VwYZAPX8B2rPkSaA9fwMIHJJE5D1/Aq6D42wQPX8Dl/IHzyQ5fwALfy9eIDl/AdUbjiEEOX8CJb9YG9A1fwGTTtFGgDV/AAyiPaUYNX8AzYHdO5gxfwJKrgACADF/Aina/fxMMX8BIaknMoAtfwL5sNeYnC1/AnqCbzagKX8BRZZWCIwpfwPRWPQWYCV/AVk6vVQYJX8DqYAh0bghfwMvgZmDQB1/As1zqGiwHX8Dtn7OjgQZfwFmy5PrQBV/AX9igIBoFX8DukgwVXQRfwGyfTdiZA1/As/eKatACX8AM0uzLAAJfwCOhnPwqAV/AABTF/E4AX8D+FZLMbP9ewMLOMGyE/l7ANaLP25X9XsB2MJ4bofxewNVVzSum+17AxSqPDKX6XsDUAxe+nflewKRxmUCQ+F7A2kBMlHz3XsAYema5YvZewPFhILBC9V7A3HizeBz0XsAre1oT8PJewABhUYC98V7AOl7Vv4TwXsB14iTSRe9ewPCYf7cA7l7Ai2gmcLXsXsC0c1v8Y+tewF0YYlwM6l7A7e9+kK7oXsAvz/eYSudewE/GE3bg5V7AvCAbKHDkXsApZVev+eJewHNVEwx94V7AmO6aPvrfXsClaDtHcd5ewKo2Qybi3F7AqAYC3EzbXsB8wchosdlewNyK6cwP2F7AOcG3CGjWXsC3/YccutRewBUUsAgG017ApxKHzUvRXsA3QmVri89ewP4lpOLEzV7AinueM/jLXsC2OrBeJcpewI6VNmRMyF7AP/iPRG3GXsAHCRwAiMRewB+oO5ecwl7ArO9QCqvAXsClM79Zs75ewMAB64W1vF7AaCE6j7G6XsCZkxN2p7hewNiS3zqXtl7AFpMH3oC0XsClQfZfZLJewBaFF8FBsF7AK33YARmuXsDBgqci6qtewLon9CO1qV7A4jYvBnqnXsDhs8rJOKVewBnbOW/xol7AnSHx9qOgXsALNWZhUJ5ewIH7D6/2m17Ae5Nm4JaZXsDEU+P1MJdewFjLAPDElF7ATsE6z1KSXsC6NA6U2o9ewKBc+T5cjV7Az6d70NeKXsDLvBVJTYhewLZ5Sam8hV7AM/SZ8SWDXsBReYsiiYBewGeNozzmfV7AA+xoQD17XsDIh2MujnhewFuKHAfZdV7APVQeyx1zXsC5fPR6XHBewL/RKxeVbV7A1VdSoMdqXsDtSfcW9GdewE8Zq3saZV7Ae23/zjpiXsAOJIcRVV9ewKFQ1kNpXF7ArjyCZndZXsBwZyF6f1ZewMuFS3+BU17AI4KZdn1QXsBHfKVgc01ewE7JCj5jSl7AfPNlD01HXsAaulTVMERewGARdpAOQV7ATyJqQeY9XsCYStLotzpewHEcUYeDN17Afl6KHUk0XsCsCyOsCDFewBRTwTPCLV7A1JcMtXUqXsDvcK0wIydewDGpTafKI17ABj+YGWwgXsBcZDmIBx1ewIF+3vOcGV7A+CU2XSwWXsBoJvDEtRJewGR+vSs5D17AV19QkrYLXsBYLVz5LQhewAt/lWGfBF7AfB2yywoBXsD2A2k4cP1dwOZfcqjP+V3AspCHHCn2XcCSJ2OVfPJdwHHnwBPK7l3Av8RdmBHrXcBU5fcjU+ddwEagTreO413AwH0iU8TfXcDiNjX489tdwJK1Sacd2F3AYRQkYUHUXcBWnokmX9BdwNHOQPh2zF3AXVER14jIXcCOAcTDlMRdwNTqIr+awF3AVUj5yZq8XcDChBPllLhdwDQ6PxGJtF3A+zFLT3ewXcB7ZAegX6xdwP34RARCqF3Aj0XWfB6kXcDOzo4K9Z9dwMFHQ67Fm13AsZHJaJCXXcD9u/g6VZNdwOsDqSUUj13AgtSzKc2KXcBcxvNHgIZdwHufRIEtgl3AHlOD1tR9XcCRAY5IdnldwAb4Q9gRdV3AaLCFhqdwXcAp0TRUN2xdwBctNELBZ13AMsNnUUVjXcB+vrSCw15dwNJ1Adc7Wl3Aqms1T65VXcD8TTnsGlFdwAj29q6BTF3AKWhZmOJHXcCn00ypPUNdwIWSvuKSPl3AWCmdReI5XcAPR9jSKzVdwMrEYItvMF3Ao6UocK0rXcCKFiOC5SZdwAVuRMIXIl3ACiyCMUQdXcDJ+dLQahhdwH6pLqGLE13APDaOo6YOXcDBw+vYuwldwD2eQkLLBF3AITqP4NT/XMD0M8+02PpcwBhQAcDW9VzAm3olA8/wXMACxzx/wetcwBhwSTWu5lzAu9dOJpXhXMChhlFTdtxcwC8sV71R11zAPZ5mZSfSXMDj2IdM98xcwEb+w3PBx1zAYlYl3IXCXMDVTreGRL1cwKp6hnT9t1zAI5KgprCyXMB/chQeXq1cwNEd8tsFqFzAt7pK4aeiXMA0lDAvRJ1cwG4Zt8bal1zAft3yqGuSXMA4l/nW9oxcwOwg4lF8h1zAOXjEGvyBXMDQvbkydnxcwDk13JrqdlzAoURHVFlxXMCbdBdgwmtcwO9var8lZlzAWANfc4NgXMBSHRV921pcwNrNrd0tVVzAPEZLlnpPXMDT2BCowUlcwNH4IhQDRFzABDqn2z4+XMCeUMT/dDhcwPUQooGlMlzATG9pYtAsXMCYf0Sj9SZcwEB1XkUVIVzA6aLjSS8bXMAzegGyQxVcwH6L5n5SD1zAr4XCsVsJXMD4NcZLXwNcwJCHI05d/VvAgYMNulX3W8BgULiQSPFbwB8yWdM161vAv4kmgx3lW8Aa1Veh/95bwKOuJS/c2FvAK83JLbPSW8CeA3+ehMxbwMNAgYJQxlvABI8N2xbAW8AqFGKp17lbwBsRvu6Ss1vAoOFhrEitW8Ae/I7j+KZbwGHxh5WjoFvAT2yQw0iaW8CtMe1u6JNbwOAf5JiCjVvArS68QheHW8Dvbr1tpoBbwGEKMRswelvATkNhTLRzW8BidJkCM21bwFkQJj+sZlvAwaFUAyBgW8C1ynNQjllbwKNE0yf3UlvA/t/DilpMW8AChJd6uEVbwGkuofgQP1vANvM0BmQ4W8Bf/KeksTFbwJaJUNX5KlvA+u+FmTwkW8DjmaDyeR1bwIoG+uGxFlvA0MnsaOQPW8D1i9SIEQlbwFAJDkM5AlvAFxL3mFv7WsAEiu6LePRawB1oVB2Q7VrAa7aJTqLmWsC2kfAgr99awDQp7JW22FrAUb7grrjRWsBapDNttcpawEJAS9Ksw1rATwiP3568WsDbg2eWi7VawAVLPvhyrlrAcwZ+BlWnWsD8bpLCMaBawGtN6C0JmVrALHrtSduRWsAS3RAYqIpawP5swplvg1rAmi9z0DF8WsAUOZW97nRawNSrm2KmbVrALLj6wFhmWsARnCfaBV9awM+imK+tV1rAxSTFQlBQWsAQhyWV7UhawEc7M6iFQVrAKL9ofRg6WsBcnEEWpjJawBloOnQuK1rA38LQmLEjWsApWIOFLxxawCze0TuoFFrAdRU9vRsNWsCvyEYLigVawEnMcSfz/VnAOP5BE1f2WcCaRTzQte5ZwG2S5l8P51nARd3Hw2PfWcAAJ2j9stdZwG54UA79z1nACuIK+EHIWcCleyK8gcBZwCdkI1y8uFnAKcGa2fGwWcC1vhY2IqlZwPaOJnNNoVnA22laknOZWcDgjEOVlJFZwKM6dH2wiVnApbp/TMeBWcDvWPoD2XlZwNBleaXlcVnAejWTMu1pWcC7H9+s72FZwKx/9RXtWVnAXbNvb+VRWcCFG+i62ElZwC0b+vnGQVnAXBdCLrA5WcDUdl1ZlDFZwKmh6nxzKVnA/QCJmk0hWcCo/tizIhlZwOwEfMryEFnAFH4U4L0IWcAs1EX2gwBZwKZwtA5F+FjAE7wFKwHwWMC8HeBMuOdYwFr76nVq31jAvbjOpxfXWMCAtzTkv85YwKZWxyxjxljATfIxgwG+WMBW4yDpmrVYwBl/QWAvrVjAABdC6r6kWMA5+NGISZxYwF9roT3Pk1jAKrRhClCLWMANEcXwy4JYwOW6fvJCeljAoeRCEbVxWMD1usZOImlYwOxjwKyKYFjAqP7mLO5XWMD6ovLQTE9YwBhhnJqmRljAN0Gei/s9WMA+Q7OlSzVYwGRel+qWLFjA34AHXN0jWMCMj8H7HhtYwI1lhMtbEljA9dMPzZMJWMByoSQCxwBYwPGJhGz191fAQT7yDR/vV8C7YzHoQ+ZXwOeTBv1j3VfAK1w3Tn/UV8BfPYrdlctXwIGrxqynwlfAUA21vbS5V8D/ux4SvbBXwMUCzqvAp1fAkx6OjL+eV8CvPSu2uZVXwGN/ciqvjFfAkvMx65+DV8Bhmjj6i3pXwOJjVllzcVfAsy9cClZoV8CczBsPNF9XwDb4Z2kNVlfAjl4UG+JMV8DPmfUlskNXwNMx4Yt9OlfA1ZutTkQxV8AIOjJwBihXwElbR/LDHlfAqzrG1nwVV8Ap/4gfMQxXwD67as7gAlfAkmxH5Yv5VsCL+/tlMvBWwPg6ZlLU5lbAr+dkrHHdVsAzqNd1CtRWwEgMn7CeylbAnYycXi7BVsBqirKBubdWwA9PxBtArlbAsQu2LsKkVsDd2Gy8P5tWwCS2zsa4kVbAwYnCTy2IVsAtIDBZnX5WwMUrAOUIdVbAZ0Qc9W9rVsAN526L0mFWwHV146kwWFbAsTVmUopOVsDOUeSG30RWwGzXS0kwO1bAZ7eLm3wxVsBkxZN/xCdWwHe3VPcHHlbAviXABEcUVsAEisipgQpWwFA/Yei3AFbAjYF+wun2VcAgbRU6F+1VwIr+G1FA41XA/hGJCWXZVcD8YlRlhc9VwO+LdmahxVXAzgXpDrm7VcCtJ6ZgzLFVwFsmqV3bp1XA/RPuB+adVcCx33Fh7JNVwBpVMmzuiVXAAhwuKux/VcDzt2Sd5XVVwNeH1sfaa1XAhcWEq8thVcBkhXFKuFdVwPy1n6agTVXAoh8TwoRDVcD5Y9CeZDlVwJn93D5AL1XAoD8/pBclVcBbVf7Q6hpVwMhBIse5EFXAO9+ziIQGVcDw3rwXS/xUwLPIR3YN8lTAXPpfpsvnVMCApxGqhd1UwPXYaYM701TAfmx2NO3IVMBNFEa/mr5UwKVW6CVEtFTAcY1taumpVMDS5eaOip9UwMdfZpUnlVTAr83+f8CKVMDp08NQVYBUwGjoyQnmdVTAUFImrXJrVMB9Ke88+2BUwCZWO7t/VlTAZ5AiKgBMVMDgX72LfEFUwD8bJeL0NlTA7OdzL2ksVMB7ucR12SFUwFdRM7dFF1TAVT7c9a0MVMBB3NwzEgJUwHhTU3Ny91PAeJhets7sU8Buax7/JuJTwORXs09711PALbQ+qsvMU8AToeIQGMJTwGMJwoVgt1PAfqEAC6WsU8Ds5sKi5aFTwPUfLk8il1PAIltoEluMU8Dxbpjuj4FTwDz55eXAdlPA6l55+u1rU8B1y3suF2FTwHwwF4Q8VlPAV0V2/V1LU8CohsSce0BTwOQ1LmSVNVPA/1jgVasqU8DSuQh0vR9TwM/l1cDLFFPAgS13PtYJU8AhpBzv3P5SwCcf99Tf81LA1zU48t7oUsDNQBJJ2t1SwKZZuNvR0lLAZlperMXHUsAp3Ti9tbxSwKA7fRCisVLAq45hqIqmUsDjrRyHb5tSwCov5q5QkFLANmb2IS6FUsAgZIbiB3pSwAn3z/LdblLAfakNVbBjUsAhwnoLf1hSwDtDUxhKTVLAOerTfRFCUsBGLzo+1TZSwNNExFuVK1LAIBex2FEgUsDiS0C3ChVSwKlBsvm/CVLAiw9IonH+UcCjhEOzH/NRwKIn5y7K51HAXDZ2F3HcUcBUpTRvFNFRwEEfZzi0xVHAsQRTdVC6UcB3az4o6a5RwEYecFN+o1HAPJwv+Q+YUcBtGMUbnoxRwHB5eb0ogVHA5liW4K91UcAAA2aHM2pRwCZ2M7SzXlHAWmJKaTBTUcDcKPeoqUdRwK3bhnUfPFHAHD1H0ZEwUcBRv4a+ACVRwM6DlD9sGVHAAlvAVtQNUcDfw1oGOQJRwETrtFCa9lDAn6sgOPjqUMBujPC+Ut9QwMzBd+ep01DA9ysKtP3HUMDaVvwmTrxQwJh5o0KbsFDACXZVCeWkUMBj2Gh9K5lQwJfWNKFujVDA9U8Rd66BUMCwzFYB63VQwF99XkIkalDAjzqCPFpeUMBBhBzyjFJQwHOBiGW8RlDAvP8hmeg6UMCzckWPES9QwIfzT0o3I1DAiECfzFkXUMCqvJEYeQtQwBjeDGEq/0/ACAW6LVznT8Apiuubh89PwDFPY7Cst0/AOXrkb8ufT8D/dDPf44dPwOfrFQP2b0/ACM1S4AFYT8A3R7J7B0BPwBDJ/dkGKE/A+f////8PT8Bh14Ty8vdOwHZ3Wbbf307Aa0RMUMbHTsBz3SzFpq9OwMgbzBmBl07AvRH8UlV/TsC8CZB1I2dOwE2FXIbrTk7AUDw3iq02TsCyG/eFaR5OwLNEdH4fBk7A2wuIeM/tTcAE+Ax5edVNwGPB3oQdvU3AjFDaoLukTcBzvd3RU4xNwKROyBzmc03A9nd6hnJbTcDQ2dUT+UJNwBxAvcl5Kk3AUaEUrfQRTcB0HcHCaflMwCT9qA/Z4EzAmbCzmELITMCkzslipq9MwOMT1XIEl0zAeGHAzVx+TMBBvHd4r2VMwNVL6Hf8TEzAglkA0UM0TMBVT6+IhRtMwBm35aPBAkzAVTmVJ/jpS8B8nLAYKdFLwKfDK3xUuEvAxq37VnqfS8CidBaumoZLwM1Lc4a1bUvAt38K5cpUS8CidNXO2jtLwJ6lzkjlIkvAvqPxV+oJS8DIFDsB6vBKwG2yqEnk10rAPUk5Ntm+SsClt+zLyKVKwPTsww+zjErAVejABphzSsDJt+a1d1pKwFh3OSJSQUrAvk++UCcoSsCndXtG9w5KwJsoeAjC9UnAALK8m4fcScAWZFIFSMNJwPeYQ0oDqknAi7Gbb7mQScC4FGd6andJwBAus28WXknABm2OVL1EScDbQwguXytJwKMmMQH8EUnANooa05P4SMA649aoJt9IwAeleYe0xUjA40AXdD2sSMCnJMVzwZJIwPK5mYtAeUjAHWWswLpfSMAuhBUYMEZIwNtt7pagLEjAgnBRQgwTSMAk0Vkfc/lHwFTKIzPV30fAaIvMgjLGR8AhN3ITi6xHwNriM+rekkfAfZUxDC55R8BxRox+eF9HwJ3cZUa+RUfAXi3haP8rR8B0+yHrOxJHwDH2TNJz+EbAIriHI6feRsA6xvjj1cRGwMaOxxgAq0bAWmgcxyWRRsDTkCD0RndGwEws/qRjXUbABUTg3ntDRsCYxfKmjylGwJuBYgKfD0bAyipd9qn1RcD8VBGIsNtFwA50rryywUXA4dpkmbCnRcBRumUjqo1FwBgg41+fc0XABvYPVJBZRcCYACAFfT9FwC7eR3hlJUXA8QW9skkLRcDHxrW5KfFEwE1GaZIF10TAxn8PQt28RMAJQ+HNsKJEwKgzGDuAiETAmMfujktuRMBXRqDOElREwNPHaP/VOUTAZzOFJpUfRMDCPjNJUAVEwOpssWwH60PAJA0/lrrQQ8DaORzLabZDwNXXiRAVnEPAypTJa7yBQ8CR5h3iX2dDwAYKynj/TEPA/AESNZsyQ8A1ljocMxhDwEtSiTPH/ULAnIREgFfjQsB2PbMH5MhCwK5NHc9srkLAz0XL2/GTQsD9dAYzc3lCwOfnGNrwXkLAuGdN1mpEQsAKee8s4SlCwMZaS+NTD0LAVQWu/sL0QcAyKWWELtpBwBsuv3mWv0HA8jEL5PqkQcCsB5nIW4pBwEQ2uSy5b0HAqve8FRNVQcCkN/aIaTpBwPqSt4u8H0HADVZUIwwFQcADfCBVWOpAwKatcCahz0DAVUCanOa0QMDzNPO8KJpAwNc20oxnf0DAqpqOEaNkQMCUXYBQ20lAwNIjAE8QL0DA3TdnEkIUQMCbEh9A4fI/wI9Xp/o3vT/A1asdX4iHP8B8wDl40lE/wCOItFAWHD/AUDVI81PmPsCUN7Bqi7A+wN85qcG8ej7APSDxAuhEPsCzBUc5DQ8+wBk6a28s2T3A9D8fsEWjPcBRyiUGWW09wH66QnxmNz3AYh47HW4BPcCcLdXzb8s8wNtH2ApslTzAkPIMbWJfPMDS1jwlUyk8wC2/Mj4+8zvAg5W6wiO9O8C8YKG9A4c7wCFDtTneUDvAeHfFQbMaO8BWT6LgguQ6wNkwHSFNrjrAgJQIDhJ4OsD+Ajiy0UE6wBYTgBiMCzrATGe2S0HVOcA/rLFW8Z45wL+VSUScaDnAId1WH0IyOcD3PrPy4vs4wOJ4Ocl+xTjAbEfFrRWPOMDYYzOrp1g4wNyBYcw0IjjA8E0uHL3rN8BnanmlQLU3wMFtI3O/fjfAYuANkDlIN8BjOhsHrxE3wGXhLuMf2zbAZyYtL4ykNsB7Q/v18202wBFaf0JXNzbAE3CgH7YANsA0bkaYEMo1wKYdWrdmkzXA5SXFh7hcNcCQCnIUBiY1wDgpTGhP7zTAFbc/jpS4NMBRvzmR1YE0wCMgKHwSSzTAHIn5WUsUNMDUeJ01gN0zwMI6BBqxpjPACeUeEt5vM8BLVt8oBzkzwHgzOGksAjPAgOUc3k3LMsCel4GSa5QywHQ0W5GFXTLATWSf5ZsmMsDXikSaru8xwO/EQbq9uDHAcOaOUMmBMcAFeCRo0UoxwNS0+wvWEzHA0ogOR9fcMMDPjVck1aUwwMYJ0q7PbjDAjex58cY3MMCfzUv3ugAwwODTiZZXky/AdUPG8DIlL8BW7EkTCLcuwFgPExTXSC7A+iUhCaDaLcDw3nQIY2wtwIYZECgg/izAOuH1fdePLMBTaSogiSEswIcIsyQ1syvARzSWodtEK8BifdusfNYqwB6Ki1wYaCrA1RKwxq75KcBE3VMBQIspwDa4giLMHCnAB3dJQFOuKMBU7bVw1T8owETq1slS0SfAIzW8YctiJ8CDh3ZOP/QmwMuJF6auhSbAlM6xfhkXJsBAzljuf6glwJPiIAviOSXAQ0If6z/LJMBe/GmkmVwkwNL0F03v7SPAi95A+0B/I8AROP3EjhAjwM9GZsDYoSLAuBKWAx8zIsDTYaekYcQhwNuztbmgVSHAzD3dWNzmIMBB5TqYFHggwAA97I1JCSDAN/4eoPY0H8D+EofpU1cewJiyTySreR3Azgy5fPybHMAmfgQfSL4bwAiHdDeO4BrAccJM8s4CGsAE39F7CiUZwFWTSQBBRxjA+5b6q3JpF8BFmSyrn4sWwFo4KCrIrRXAafg2VezPFMDMOqNYDPITwLs0uGAoFBPAYOjBmUA2EsAXGQ0wVVgRwIVE509mehDAlDI9S+g4D8BD3AO7/XwNwBxywUcNwQvA/gwWShcFCsD636IaHEkIwIQqChIcjQbA6yDviBfRBMCK3vXXDhUDwCBTw1cCWQHAOmL6weQ5/7/ct5OYvsH7v5OsoOSSSfi/D19wV2LR9L+d61KiLVnxvzt6Mu3qweu/v+IpC3XR5L8zz2AC9sHbvwvQrMf4wcu//+TfHqyyGb2fyazH+MHLP/3LYAL2wds/BuUpC3XR5D+BfDLt6sHrP8DsUqItWfE/MmBwV2LR9D/Fq6Dkkkn4Pw63k5i+wfs/bGH6weQ5/z+5UsNXAlkBQBvf9dcOFQNAfCHviBfRBEAWKwoSHI0GQI3gohocSQhAlwwWShcFCkC1ccFHDcELQN3bA7v9fA1ALTI9S+g4D0DOROdPZnoQQGAZDTBVWBFAqejBmUA2EkAENbhgKBQTQJg6o1gM8hNANfg2VezPFEAmOCgqyK0VQBGZLKufixZARJf6q3JpF0Cdk0kAQUcYQE3f0XsKJRlAusJM8s4CGkDVhnQ3juAaQPJ9BB9IvhtAmgy5fPybHEBksk8kq3kdQEcTh+lTVx5Afv4eoPY0H0AkPeyNSQkgQGXlOpgUeCBAsj3dWNzmIEDCs7W5oFUhQLlhp6RhxCFAnRKWAx8zIkDzRmbA2KEiQDU4/cSOECNAsN5A+0B/I0D19BdN7+0jQIP8aaSZXCRAKUIf6z/LJEB44iAL4jklQCfOWO5/qCVAe86xfhkXJkDviRemroUmQKeHdk4/9CZASDW8YctiJ0Bp6tbJUtEnQDvttXDVPyhA7nZJQFOuKEAbuIIizBwpQCvdUwFAiylA+BKwxq75KUBCiotcGGgqQIZ926x81ipAbDSWodtEK0BsCLMkNbMrQDppKiCJISxAIOH1fdePLEBtGRAoIP4sQBTfdAhjbC1AHiYhCaDaLUB8DxMU10guQHrsSRMIty5AXEPG8DIlL0DH04mWV5MvQJLNS/e6ADBAgOx58cY3MEDYCdKuz24wQOGNVyTVpTBA5IgOR9fcMEDntPsL1hMxQPh3JGjRSjFAY+aOUMmBMUDixEG6vbgxQMqKRJqu7zFAX2Sf5ZsmMkCGNFuRhV0yQLGXgZJrlDJAkuUc3k3LMkBrMzhpLAIzQD5W3ygHOTNA/OQeEt5vM0C1OgQasaYzQOZ4nTWA3TNALon5WUsUNEA2ICh8Eks0QGO/OZHVgTRAJrc/jpS4NEArKUxoT+80QIMKchQGJjVA2SXFh7hcNUCaHVq3ZpM1QEduRpgQyjVAJHCgH7YANkAiWn9CVzc2QI1D+/XzbTZAWyYtL4ykNkBY4S7jH9s2QFY6GwevETdAVuANkDlIN0DTbSNzv343QHhqeaVAtTdAAk4uHL3rN0DvgWHMNCI4QMtjM6unWDhAX0fFrRWPOEDWeDnJfsU4QOo+s/Li+zhAM91WH0IyOUDRlUlEnGg5QFGssVbxnjlAXme2S0HVOUAJE4AYjAs6QPICOLLRQTpAdJQIDhJ4OkDNMB0hTa46QGhPouCC5DpAinfFQbMaO0AzQ7U53lA7QM5gob0DhztAdpW6wiO9O0AivzI+PvM7QMXWPCVTKTxAhPIMbWJfPEDsR9gKbJU8QK8t1fNvyzxAdB47HW4BPUCQukJ8Zjc9QEXKJQZZbT1A6D8fsEWjPUANOmtvLNk9QKYFRzkNDz5AMCDxAuhEPkDwOanBvHo+QKY3sGqLsD5AYjVI81PmPkA0iLRQFhw/QHDAOXjSUT9AyqsdX4iHP0CDV6f6N70/QI8SH0Dh8j9A5jdnEkIUQEDaIwBPEC9AQJxdgFDbSUBAspqOEaNkQEDQNtKMZ39AQO0087womkBAT0CanOa0QECgrXAmoc9AQAx8IFVY6kBAFlZUIwwFQUADk7eLvB9BQKw39ohpOkFApPe8FRNVQUA+NrksuW9BQKUHmchbikFA7DEL5PqkQUAkLr95lr9BQDspZYQu2kFAXgWu/sL0QUDPWkvjUw9CQAR57yzhKUJAsmdN1mpEQkDh5xja8F5CQPd0BjNzeUJA2EXL2/GTQkC3TR3PbK5CQH89swfkyEJApYREgFfjQkBFUokzx/1CQC+WOhwzGENA9gESNZsyQ0AACsp4/0xDQJrmHeJfZ0NA0pTJa7yBQ0De14kQFZxDQOM5HMtptkNAHQ0/lrrQQ0DlbLFsB+tDQL0+M0lQBURAYDOFJpUfREDNx2j/1TlEQF9GoM4SVERAocfujktuRECxMxg7gIhEQBFD4c2wokRAwX8PQt28REBHRmmSBddEQMLGtbkp8URA6wW9skkLRUA23kd4ZSVFQKAAIAV9P0VAD/YPVJBZRUAhIONfn3NFQEu6ZSOqjUVA29pkmbCnRUAHdK68ssFFQPZUEYiw20VA0ypd9qn1RUCigWICnw9GQKHF8qaPKUZADkTg3ntDRkBGLP6kY11GQM2QIPRGd0ZAVGgcxyWRRkC/jscYAKtGQEPG+OPVxEZAKriHI6feRkA59kzSc/hGQHz7Ies7EkdAWS3haP8rR0CX3GVGvkVHQGtGjH54X0dAd5UxDC55R0Dj4jPq3pJHQCg3chOLrEdAcIvMgjLGR0BdyiMz1d9HQB7RWR9z+UdAfHBRQgwTSEDVbe6WoCxIQCmEFRgwRkhAJWWswLpfSED7uZmLQHlIQK8kxXPBkkhA60AXdD2sSEAPpXmHtMVIQDTj1qgm30hAMIoa05P4SECdJjEB/BFJQNZDCC5fK0lADm2OVL1ESUAYLrNvFl5JQMAUZ3pqd0lAk7Gbb7mQSUDxmENKA6pJQBBkUgVIw0lA+rG8m4fcSUCWKHgIwvVJQLB1e0b3DkpAxk++UCcoSkBfdzkiUkFKQNG35rV3WkpAT+jABphzSkDu7MMPs4xKQJ+37MvIpUpAN0k5Ntm+SkB2sqhJ5NdKQNAUOwHq8EpAxqPxV+oJS0Cnpc5I5SJLQJ101c7aO0tAsX8K5cpUS0DIS3OGtW1LQJx0Fq6ahktAz637VnqfS0Cuwyt8VLhLQIScsBgp0UtAXTmVJ/jpS0AUt+WjwQJMQE9Pr4iFG0xAfVkA0UM0TEDPS+h3/ExMQEm8d3ivZUxAf2HAzVx+TEDrE9VyBJdMQK3OyWKmr0xAlLCzmELITEAe/agP2eBMQG4dwcJp+UxAS6EUrfQRTUAXQL3JeSpNQNjZ1RP5Qk1A/nd6hnJbTUCrTsgc5nNNQHu93dFTjE1AhlDaoLukTUBdwd6EHb1NQP73DHl51U1A1QuIeM/tTUC7RHR+HwZOQLob94VpHk5AWDw3iq02TkBVhVyG605OQLYJkHUjZ05AtxH8UlV/TkDCG8wZgZdOQG3dLMWmr05Ac0RMUMbHTkB+d1m2399OQGnXhPLy905AAgAAAAAQT0AKyf3ZBihPQDFHsnsHQE9AAs1S4AFYT0Dh6xUD9m9PQAd1M9/jh09AQXrkb8ufT0A5T2OwrLdPQDCK65uHz09AAgW6LVznT0AU3gxhKv9PQKe8kRh5C1BAhUCfzFkXUECK809KNyNQQLdyRY8RL1BAwP8hmeg6UEB2gYhlvEZQQD6EHPKMUlBAjDqCPFpeUEBcfV5CJGpQQK3MVgHrdVBA+U8Rd66BUECb1jShbo1QQGfYaH0rmVBADXZVCeWkUECVeaNCm7BQQNhW/CZOvFBA9SsKtP3HUEDJwXfnqdNQQGuM8L5S31BAo6sgOPjqUEBI67RQmvZQQOPDWgY5AlFABlvAVtQNUUDLg5Q/bBlRQE6/hr4AJVFAGj1H0ZEwUUCr24Z1HzxRQOAo96ipR1FAXmJKaTBTUUAqdjO0s15RQAQDZoczalFA41iW4K91UUBueXm9KIFRQGsYxRuejFFAOZwv+Q+YUUBKHnBTfqNRQHtrPijprlFAtQRTdVC6UUBEH2c4tMVRQFGlNG8U0VFAWTZ2F3HcUUCfJ+cuyudRQKCEQ7Mf81FAjw9IonH+UUCtQbL5vwlSQOZLQLcKFVJAJBex2FEgUkDQRMRblStSQEQvOj7VNlJANurTfRFCUkA5Q1MYSk1SQCXCegt/WFJAgKkNVbBjUkAM98/y3W5SQCRkhuIHelJAM2b2IS6FUkAnL+auUJBSQOGtHIdvm1JAqI5hqIqmUkCkO30QorFSQCzdOL21vFJAalperMXHUkCpWbjb0dJSQNBAEkna3VJA1DU48t7oUkAkH/fU3/NSQB6kHO/c/lJAfi13PtYJU0DS5dXAyxRTQNa5CHS9H1NAAlngVasqU0DoNS5klTVTQKaGxJx7QFNAVUV2/V1LU0B5MBeEPFZTQHLLey4XYVNA7l55+u1rU0BA+eXlwHZTQPRumO6PgVNAJVtoEluMU0DzHy5PIpdTQOvmwqLloVNAe6EAC6WsU0BhCcKFYLdTQBeh4hAYwlNAMbQ+qsvMU0DnV7NPe9dTQHJrHv8m4lNAdphets7sU0B2U1NzcvdTQD/c3DMSAlRAUz7c9a0MVEBbUTO3RRdUQH65xHXZIVRA8OdzL2ksVEBDGyXi9DZUQN5fvYt8QVRAZZAiKgBMVEAkVju7f1ZUQHsp7zz7YFRAU1ImrXJrVEBs6MkJ5nVUQOrTw1BVgFRAr83+f8CKVEDIX2aVJ5VUQNLl5o6Kn1RAb41taumpVECjVuglRLRUQEsURr+avlRAgWx2NO3IVED42GmDO9NUQICnEaqF3VRAXPpfpsvnVECzyEd2DfJUQPHevBdL/FRAON+ziIQGVUDGQSLHuRBVQF9V/tDqGlVApD8/pBclVUCZ/dw+QC9VQPpj0J5kOVVAoh8TwoRDVUD9tZ+moE1VQGGFcUq4V1VAg8WEq8thVUDah9bH2mtVQPa3ZJ3ldVVAAhwuKux/VUAaVTJs7olVQLHfcWHsk1VA/RPuB+adVUBYJqld26dVQKsnpmDMsVVA0gXpDrm7VUDyi3ZmocVVQPxiVGWFz1VA/xGJCWXZVUCL/htRQONVQCBtFToX7VVAi4F+wun2VUBNP2HotwBWQAaKyKmBClZAwSXABEcUVkB3t1T3Bx5WQGTFk3/EJ1ZAZ7eLm3wxVkBs10tJMDtWQMxR5IbfRFZArzVmUopOVkB4deOpMFhWQBHnbovSYVZAaEQc9W9rVkDGKwDlCHVWQC4gMFmdflZAwYnCTy2IVkAlts7GuJFWQNvYbLw/m1ZArgu2LsKkVkAST8QbQK5WQG2KsoG5t1ZAnoycXi7BVkBJDJ+wnspWQDOo13UK1FZAr+dkrHHdVkD2OmZS1OZWQIn7+2Uy8FZAlmxH5Yv5VkBBu2rO4AJXQCr/iB8xDFdAqzrG1nwVV0BJW0fywx5XQAg6MnAGKFdA0putTkQxV0DRMeGLfTpXQNKZ9SWyQ1dAkl4UG+JMV0A3+GdpDVZXQJzMGw80X1dAtC9cClZoV0DiY1ZZc3FXQGCaOPqLeldAj/Mx65+DV0Bmf3Iqr4xXQLI9K7a5lVdAkx6OjL+eV0DFAs6rwKdXQP+7HhK9sFdAUQ21vbS5V0B/q8asp8JXQF09it2Vy1dALlw3Tn/UV0Dqkwb9Y91XQLtjMehD5ldAQj7yDR/vV0DyiYRs9fdXQHKhJALHAFhA89MPzZMJWECLZYTLWxJYQI+PwfseG1hA4oAHXN0jWEBlXpfqlixYQD5Ds6VLNVhAOEGei/s9WEAYYZyapkZYQPqi8tBMT1hApv7mLO5XWEDqY8CsimBYQPe6xk4iaVhApORCEbVxWEDlun7yQnpYQA4RxfDLglhAKrRhClCLWEBfa6E9z5NYQDf40YhJnFhA/hZC6r6kWEAcf0FgL61YQFnjIOmatVhATfIxgwG+WECmVscsY8ZYQIC3NOS/zlhAvbjOpxfXWEBY++p1at9YQLod4Ey451hAFrwFKwHwWECpcLQORfhYQCzURfaDAFlAFH4U4L0IWUDsBHzK8hBZQKj+2LMiGVlA/ACJmk0hWUCnoep8cylZQNZ2XVmUMVlAXxdCLrA5WUAtG/r5xkFZQIYb6LrYSVlAXbNvb+VRWUCsf/UV7VlZQLkf36zvYVlAeDWTMu1pWUDSZXml5XFZQPJY+gPZeVlApbp/TMeBWUCkOnR9sIlZQOGMQ5WUkVlA22laknOZWUD0jiZzTaFZQLS+FjYiqVlAK8Ga2fGwWUAqZCNcvLhZQKh7IryBwFlACuIK+EHIWUBveFAO/c9ZQAAnaP2y11lARt3Hw2PfWUBrkuZfD+dZQJhFPNC17llAO/5BE1f2WUBMzHEn8/1ZQK/IRguKBVpAdRU9vRsNWkAs3tE7qBRaQClYg4UvHFpA3cLQmLEjWkAXaDp0LitaQF+cQRamMlpAKr9ofRg6WkBHOzOohUFaQBGHJZXtSFpAxSTFQlBQWkDPopivrVdaQA+cJ9oFX1pAKrj6wFhmWkDXq5tipm1aQBY5lb3udFpAmi9z0DF8WkD+bMKZb4NaQBPdEBioilpALXrtSduRWkBpTegtCZlaQPtuksIxoFpAdQZ+BlWnWkAHSz74cq5aQNyDZ5aLtVpAUAiP3568WkBCQEvSrMNaQFqkM221ylpAT77grrjRWkAzKeyVtthaQLeR8CCv31pAbbaJTqLmWkAdaFQdkO1aQASK7ot49FpAGBL3mFv7WkBRCQ5DOQJbQPOL1IgRCVtAzsnsaOQPW0CJBvrhsRZbQOWZoPJ5HVtA/O+FmTwkW0CWiVDV+SpbQF/8p6SxMVtANvM0BmQ4W0BqLqH4ED9bQACEl3q4RVtA/N/DilpMW0ClRNMn91JbQLfKc1COWVtAwaFUAyBgW0BZECY/rGZbQGN0mQIzbVtATkNhTLRzW0BfCjEbMHpbQO5uvW2mgFtAsC68QheHW0DiH+SYgo1bQK4x7W7ok1tAT2yQw0iaW0Bh8YeVo6BbQB/8juP4pltAn+FhrEitW0AaEb7ukrNbQCwUYqnXuVtABo8N2xbAW0DDQIGCUMZbQJ4Df56EzFtALM3JLbPSW0CjriUv3NhbQBnVV6H/3ltAv4kmgx3lW0AhMlnTNetbQGJQuJBI8VtAgYMNulX3W0CQhyNOXf1bQPg1xktfA1xAsIXCsVsJXEB9i+Z+Ug9cQDJ6AbJDFVxA66LjSS8bXEBCdV5FFSFcQJh/RKP1JlxATG9pYtAsXED1EKKBpTJcQJ5QxP90OFxABDqn2z4+XEDQ+CIUA0RcQNLYEKjBSVxAPkZLlnpPXEDbza3dLVVcQFMdFX3bWlxAWQNfc4NgXEDvb2q/JWZcQJt0F2DCa1xAn0RHVFlxXEA3Ndya6nZcQNK9uTJ2fFxAO3jEGvyBXEDsIOJRfIdcQDiX+db2jFxAft3yqGuSXEBuGbfG2pdcQDOUMC9EnVxAtrpK4aeiXEDSHfLbBahcQIFyFB5erVxAI5KgprCyXECqeoZ0/bdcQNZOt4ZEvVxAYlYl3IXCXEBF/sNzwcdcQOLYh0z3zFxAPp5mZSfSXEAwLFe9UddcQKKGUVN23FxAu9dOJpXhXEAZcEk1ruZcQALHPH/B61xAmnolA8/wXEAXUAHA1vVcQPYzz7TY+lxAIjqP4NT/XEA9nkJCywRdQMLD69i7CV1APTaOo6YOXUB+qS6hixNdQMj50tBqGF1ACSyCMUQdXUAHbkTCFyJdQIsWI4LlJl1ApaUocK0rXUDKxGCLbzBdQBBH2NIrNV1AWCmdReI5XUCFkr7ikj5dQKbTTKk9Q11AKGhZmOJHXUAJ9vaugUxdQP1NOewaUV1Aqms1T65VXUDSdQHXO1pdQH++tILDXl1AMsNnUUVjXUAWLTRCwWddQCjRNFQ3bF1AabCFhqdwXUAI+EPYEXVdQJIBjkh2eV1AHlOD1tR9XUB7n0SBLYJdQFzG80eAhl1AgtSzKc2KXUDqA6klFI9dQP67+DpVk11As5HJaJCXXUDBR0OuxZtdQM7Ojgr1n11Aj0XWfB6kXUD9+EQEQqhdQHpkB6BfrF1A+jFLT3ewXUA2Oj8RibRdQMSEE+WUuF1AVUj5yZq8XUDU6iK/msBdQI4BxMOUxF1AXVER14jIXUDQzkD4dsxdQFWeiSZf0F1AYhQkYUHUXUCTtUmnHdhdQOI2Nfjz211AwX0iU8TfXUBGoE63juNdQFTl9yNT511AvsRdmBHrXUBw58ATyu5dQJEnY5V88l1As5CHHCn2XUDnX3Koz/ldQPYDaThw/V1AfB2yywoBXkALf5VhnwReQFgtXPktCF5AVl9QkrYLXkBjfr0rOQ9eQGkm8MS1El5A+SU2XSwWXkCBft7znBleQFxkOYgHHV5ABj+YGWwgXkAxqU2nyiNeQO5wrTAjJ15A05cMtXUqXkAVU8Ezwi1eQK0LI6wIMV5Afl6KHUk0XkBxHFGHgzdeQJhK0ui3Ol5AUCJqQeY9XkBfEXaQDkFeQBm6VNUwRF5AffNlD01HXkBPyQo+Y0peQEd8pWBzTV5AI4KZdn1QXkDLhUt/gVNeQHFnIXp/Vl5ArjyCZndZXkCgUNZDaVxeQA8khxFVX15AfG3/zjpiXkBPGat7GmVeQO1J9xb0Z15A1VdSoMdqXkC/0SsXlW1eQLh89HpccF5APFQeyx1zXkBcihwH2XVeQMmHYy6OeF5AA+xoQD17XkBnjaM85n1eQFF5iyKJgF5ANPSZ8SWDXkC2eUmpvIVeQMq8FUlNiF5Azqd70NeKXkCgXPk+XI1eQLs0DpTaj15ATsE6z1KSXkBYywDwxJReQMRT4/Uwl15Ae5Nm4JaZXkCB+w+v9pteQAs1ZmFQnl5AniHx9qOgXkAa2zlv8aJeQOGzysk4pV5A4jYvBnqnXkC6J/QjtaleQMGCpyLqq15AKn3YARmuXkAWhRfBQbBeQKZB9l9ksl5AF5MH3oC0XkDYkt86l7ZeQJmTE3anuF5AaCE6j7G6XkDBAeuFtbxeQKQzv1mzvl5ArO9QCqvAXkAgqDuXnMJeQAgJHACIxF5AP/iPRG3GXkCOlTZkTMheQLY6sF4lyl5AinueM/jLXkD9JaTixM1eQDZCZWuLz15ApxKHzUvRXkAWFLAIBtNeQLf9hxy61F5AOcG3CGjWXkDciunMD9heQHzByGix2V5AqAYC3EzbXkCqNkMm4txeQKZoO0dx3l5AmO6aPvrfXkBzVRMMfeFeQCllV6/54l5AvCAbKHDkXkBPxhN24OVeQC/P95hK515A7O9+kK7oXkBdGGJcDOpeQLVzW/xj615Ai2gmcLXsXkDwmH+3AO5eQHXiJNJF715AOl7Vv4TwXkAAYVGAvfFeQCt7WhPw8l5A23izeBz0XkDxYSCwQvVeQBl6Zrli9l5A2kBMlHz3XkCkcZlAkPheQNQDF76d+V5AxSqPDKX6XkDVVc0rpvteQHYwnhuh/F5ANaLP25X9XkDDzjBshP5eQP4Vksxs/15AABTF/E4AX0AjoZz8KgFfQA3S7MsAAl9As/eKatACX0Bsn03YmQNfQO6SDBVdBF9AYNigIBoFX0BZsuT60AVfQO2fs6OBBl9As1zqGiwHX0DM4GZg0AdfQOpgCHRuCF9AVk6vVQYJX0D0Vj0FmAlfQFJllYIjCl9AnqCbzagKX0C+bDXmJwtfQEhqScygC19Aina/fxMMX0CSq4AAgAxfQDNgd07mDF9AAyiPaUYNX0Bk07RRoA1fQIlv1gb0DV9AdUbjiEEOX0AC38vXiA5fQOX8gfPJDl9Aq6D42wQPX0DCBySROQ9fQHas+RJoD19A+0VwYZAPX0BjyH98sg9fQKxkIWTOD19AuYhPGOQPX0BW3wWZ8w9fQDhQQeb8D19AAAAAAAAQX0A=\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[3601]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[3601]}},\"selected\":{\"id\":\"1541\"},\"selection_policy\":{\"id\":\"1540\"}},\"id\":\"1444\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"data_source\":{\"id\":\"1523\"},\"glyph\":{\"id\":\"1524\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1525\"},\"selection_glyph\":null,\"view\":{\"id\":\"1527\"}},\"id\":\"1526\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"source\":{\"id\":\"1441\"}},\"id\":\"1504\",\"type\":\"CDSView\"},{\"attributes\":{\"overlay\":{\"id\":\"1572\"}},\"id\":\"1568\",\"type\":\"BoxZoomTool\"}],\"root_ids\":[\"1701\"]},\"title\":\"Bokeh Application\",\"version\":\"2.2.3\"}};\n",
       "  var render_items = [{\"docid\":\"8a753627-13e0-466c-afc6-e3766d6b9ce3\",\"notebook_comms_target\":\"1758\",\"root_ids\":[\"1701\"],\"roots\":{\"1701\":\"fcbb2e07-7ef4-47cc-91a7-b5bc35d23e61\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1701"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<p><code>&lt;Bokeh Notebook handle for <strong>In[5]</strong>&gt;</code></p>"
      ],
      "text/plain": [
       "<bokeh.io.notebook.CommsHandle at 0x1d26aa0ad88>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#%matplotlib widget\n",
    "import numpy as np\n",
    "from bokeh.layouts import widgetbox, column, row\n",
    "from bokeh.models import Slider\n",
    "import bokeh.plotting as plt\n",
    "from bokeh.models import HoverTool, ColumnDataSource, Select, Slider, WheelZoomTool, Range1d, markers, Arrow, NormalHead\n",
    "from bokeh.io import output_notebook, show, push_notebook, output_file, curdoc\n",
    "#output_file(\"test.html\")\n",
    "from scipy.spatial.transform import Rotation\n",
    "from scipy.linalg import det\n",
    "output_notebook()\n",
    "\n",
    "### functions for rectangle intersections\n",
    "def rotate_detector_2d(l=80, b=40, e_det=10, beta=0):\n",
    "    \"\"\"rotates the detector around the center of the flange by beta, where the long detector axis is along x for beta = 0\"\"\"\n",
    "    e1 = np.array([b/2,  l/2+e_det, 0])\n",
    "    e2 = np.array([-b/2, l/2+e_det, 0])\n",
    "    e3 = np.array([-b/2, -l/2+e_det, 0])\n",
    "    e4 = np.array([b/2,  -l/2+e_det, 0])\n",
    "    r_beta = Rotation.from_euler('z', [beta], degrees=False)\n",
    "    e1,e2,e3,e4 = r_beta.apply([e1,e2,e3,e4])\n",
    "    return np.array([e1[:2],e2[:2],e3[:2],e4[:2]])\n",
    "\n",
    "\n",
    "def radii_rectangle(l=80, b=40, e_det=10, e_sample=np.array([0,46]), gam=np.array([0]), beta=0):\n",
    "    \"\"\"calculates the distance between sample and the intersection points of the detector projected onto the x-z pllane for given beta and gamma angles\"\"\"\n",
    "\n",
    "    gam = -gam\n",
    "    s = e_sample\n",
    "    s1 = np.zeros((len(gam),2,2)) + s\n",
    "\n",
    "    s1[:,0,0] = s1[:,0,0] -250*np.array(np.cos(gam))\n",
    "    s1[:,0,1] = s1[:,0,1] +250*np.array(np.sin(gam))\n",
    "    s1[:,1,0] = s1[:,1,0] +250*np.array(np.cos(gam))\n",
    "    s1[:,1,1] = s1[:,1,1] -250*np.array(np.sin(gam))\n",
    "    \n",
    "    e1,e2,e3,e4 = rotate_detector_2d(l=l, b=b, e_det=e_det, beta=beta)\n",
    "    es = np.array([[e1,e2], [e1,e4], [e2,e3], [e3,e4]])\n",
    "    M = np.array( [np.array([np.divide( det([p1-p3,p3-p4]),det([p1-p2,p3-p4])) for p3, p4 in zip(s1[:,0],s1[:,1]) ]) for p1,p2 in es])\n",
    "    M[~((M<1.)&(M>0.))] = np.nan\n",
    "    \n",
    "    p1s = es[:,0]\n",
    "    p2s = es[:,1]\n",
    "    intersects = np.array([m[:,None]*(p2s-p1s)+p1s for m in M.T])\n",
    "    radii_2d = np.linalg.norm(intersects-s, axis=2)*(intersects-s)[:,:,1]/-abs((intersects-s)[:,:,1])\n",
    "    radii_2d = np.array([np.nanmax(radii_2d, axis=1), np.nanmin(radii_2d, axis=1)])\n",
    "    \n",
    "    return radii_2d\n",
    "\n",
    "### functions for circle intersections\n",
    "\n",
    "\n",
    "def radii(gamma, x0, y0, r):\n",
    "    '''calculates the two intersections of a line from the origin with the circle defining the window'''\n",
    "    r1 = np.cos(gamma)*x0+np.sin(gamma)*y0 + np.sqrt((np.cos(gamma)*x0+np.sin(gamma)*y0)**2  -(x0**2+y0**2-r**2))\n",
    "    r2 = np.cos(gamma)*x0+np.sin(gamma)*y0 - np.sqrt((np.cos(gamma)*x0+np.sin(gamma)*y0)**2  -(x0**2+y0**2-r**2))\n",
    "    return (r1,r2)\n",
    "\n",
    "def excentricity(beta, e_window, e_sample=[0,-46]):\n",
    "    '''calculates the excentricity of the circle defining the window for different top flange rotations'''\n",
    "    x0 = np.cos(beta)*e_window - e_sample[0]\n",
    "    y0 = np.sin(beta)*e_window - e_sample[1]\n",
    "    return x0, y0\n",
    "\n",
    "def phi(r, h):\n",
    "    '''\n",
    "    Returns the scatter angle measured from the vertical of r with height above the sample,h.\n",
    "    '''\n",
    "    return np.arctan(r/h)\n",
    "\n",
    "def delta_from_beta(beta, gamma, r, e_window, e_sample, h):\n",
    "    x0,y0 = excentricity(beta, e_window, e_sample)\n",
    "    radiis = radii(gamma, x0, y0,r)\n",
    "    deltas = [90-np.rad2deg(phi(radiius, h)) for radiius in radiis]\n",
    "    return deltas\n",
    "\n",
    "def circle(beta, e_window, e_sample, r):\n",
    "    '''calculates the excentricity of the circle defining the window for different top flange rotations'''\n",
    "    x0,y0 = excentricity(beta, e_window, e_sample)\n",
    "    phi = np.linspace(0, 2*np.pi, 3601, endpoint=True)\n",
    "    x = r * np.cos(phi) - x0\n",
    "    y = r * np.sin(phi) - y0\n",
    "    return x, y\n",
    "\n",
    "'''In-vacuum detector - scattering angles 1 position'''\n",
    "gamma_invac = np.linspace(0.001, np.pi+0.001, 121, endpoint=True)\n",
    "h_invac = 42\n",
    "l_invac = 80\n",
    "b_invac = 40\n",
    "e_invac = 36\n",
    "e_sample_invac = np.array([0,46])\n",
    "beta=np.deg2rad(0)\n",
    "radii_2d = radii_rectangle(l=l_invac, b=b_invac, e_det=e_invac, e_sample=e_sample_invac, gam=gamma_invac, beta=beta )\n",
    "deltamin, deltamax = [90-np.rad2deg(phi(radii_2d[0], h_invac)),90-np.rad2deg(phi(radii_2d[1], h_invac))]\n",
    "source_invac = ColumnDataSource(data=dict(x=np.rad2deg(gamma_invac), y1=deltamin, y2 = deltamax))\n",
    "rect_edges_invac = rotate_detector_2d(l=l_invac, b=b_invac, e_det=e_invac, beta=beta) - e_sample_invac\n",
    "rect_edges_invac = np.vstack([rect_edges_invac,rect_edges_invac[0]])\n",
    "source_invac_rect = ColumnDataSource(data=dict(x=rect_edges_invac.T[0], y=rect_edges_invac.T[1]))\n",
    "\n",
    "'''In-vacuum detector - scattering angles cumulative all position'''\n",
    "betas = np.linspace(0,2*np.pi, 60)\n",
    "gammas = np.linspace(0.001,np.pi+0.001, 60)\n",
    "radii_2d = np.array([radii_rectangle(l=l_invac, b=b_invac, e_det=e_invac, e_sample=e_sample_invac, gam=gammas, beta=beta ) for beta in betas])\n",
    "rs = np.array([np.nanmax(radii_2d, axis=(0,1)), np.nanmin(radii_2d, axis=(0,1))])\n",
    "deltamin, deltamax = [90-np.rad2deg(phi(rs[0], h_invac)),90-np.rad2deg(phi(rs[1], h_invac))]\n",
    "source_invac_full_betas = ColumnDataSource(data=dict(x=np.rad2deg(gammas), y1=deltamin, y2 = deltamax))\n",
    "\n",
    "\n",
    "\n",
    "'''Beryllium window - scattering angles 1 position'''\n",
    "gamma = np.linspace(0, np.pi, 361, endpoint=True)\n",
    "h = 36\n",
    "r = 70/2\n",
    "e_window = 30\n",
    "e_sample = [0,-46]\n",
    "beta=0\n",
    "deltamin, deltamax = delta_from_beta(np.deg2rad(beta-90), gamma, r, e_window, e_sample, h)\n",
    "source_window = ColumnDataSource(data=dict(x=np.rad2deg(gamma), y1=deltamin, y2 = deltamax))\n",
    "#source = ColumnDataSource(data=dict(x=np.rad2deg(gamma), y=deltamin))\n",
    "x,y = circle(np.deg2rad(beta-90), e_window, e_sample, r)\n",
    "source_window_circle = ColumnDataSource(data=dict(x=x, y=y))\n",
    "\n",
    "'''Be window - scattering angles cumulative all position'''\n",
    "betas = np.linspace(0,2*np.pi, 360)\n",
    "delta_from_beta(np.deg2rad(0), gamma, r, e_window, e_sample, h)\n",
    "ds = np.array([delta_from_beta(beta, gamma, r, e_window, e_sample, h) for beta in betas])\n",
    "dmins =  np.array([np.nanmin(dmin) for dmin in ds[:,0,:].T])\n",
    "dmaxs = np.array([np.nanmax(dmax) for dmax in ds[:,1,:].T])\n",
    "source_window_full_betas = ColumnDataSource(data=dict(x=np.rad2deg(gamma), y1=dmins, y2 = dmaxs))\n",
    "\n",
    "'''Top flange - scattering angles'''\n",
    "h_t = 102\n",
    "r_t = 248.5/2\n",
    "e_window_t = 0\n",
    "deltamin_t, deltamax_t = delta_from_beta(0, gamma, r_t, e_window_t, e_sample, h_t)\n",
    "source_top_flange = ColumnDataSource(data=dict(x=np.rad2deg(gamma), y1=deltamin_t, y2 = deltamax_t))\n",
    "x,y = circle(0, e_window_t, e_sample, r_t)\n",
    "source_top_flange_circle = ColumnDataSource(data=dict(x=x, y=y))\n",
    "\n",
    "\n",
    "g = plt.figure(title='Geometry')\n",
    "imgurl = 'https://drive.switch.ch/index.php/apps/files_sharing/ajax/publicpreview.php?x=3360&y=1040&a=true&file=Be_window9.JPG&t=WgAa3cg9sgVJFZK&scalingup=0'\n",
    "\n",
    "g.image_url(url=[imgurl], x=-166, y=-203, w=330, h=350, anchor=\"bottom_left\")\n",
    "g.line('x', 'y', source=source_invac_rect, line_width=5, line_color = 'green', legend_label=\"In-vacuum det\")\n",
    "g.line('x', 'y', source=source_window_circle, line_width=5, line_color = 'royalblue', legend_label=\"Be window\")\n",
    "g.line('x', 'y', source=source_top_flange_circle, line_width=5, line_color = 'grey')\n",
    "g.circle(x=0, y=0, size=10,fill_color=\"orange\", line_color = 'black', legend_label=\"Sample\")\n",
    "g.y_range=Range1d(-205, 145)\n",
    "g.x_range=Range1d(-165, 165)\n",
    "g.title.align='center'\n",
    "\n",
    "\n",
    "\n",
    "def update_plot(attr, old, new):\n",
    "    beta = new-90\n",
    "    deltamin, deltamax = delta_from_beta(np.deg2rad(beta), gamma, r, e_window, e_sample, h)\n",
    "    source_window.data = dict(x=np.rad2deg(gamma), y1=deltamin, y2 = deltamax)\n",
    "    \n",
    "    radii_2d = radii_rectangle(l=l_invac, b=b_invac, e_det=e_invac, e_sample=e_sample_invac, gam=gamma_invac, beta=np.deg2rad(new) )\n",
    "    deltamin, deltamax = [90-np.rad2deg(phi(radii_2d[0], h_invac)),90-np.rad2deg(phi(radii_2d[1], h_invac))]\n",
    "    source_invac.data = dict(x=np.rad2deg(gamma_invac), y1=deltamin, y2 = deltamax)\n",
    "    rect_edges_invac = rotate_detector_2d(l=l_invac, b=b_invac, e_det=e_invac, beta=np.deg2rad(new)) - e_sample_invac\n",
    "    rect_edges_invac = np.vstack([rect_edges_invac,rect_edges_invac[0]])\n",
    "    source_invac_rect.data = dict(x=rect_edges_invac.T[0], y=rect_edges_invac.T[1])\n",
    "    \n",
    "    x,y = circle(np.deg2rad(beta), e_window, e_sample, r)\n",
    "    source_window_circle.data = dict(x=x, y=y)\n",
    "\n",
    "    #p.line('x', 'y', source=source, line_width=3, line_alpha=0.6)\n",
    "    #push_notebook()\n",
    "\n",
    "p = plt.figure(title='Diffraction Angles')\n",
    "p.line('x', 'y1', source=source_invac, line_width=5, line_alpha=1., line_color='green', legend_label=\"In-vacuum detector\")\n",
    "p.line('x', 'y2', source=source_invac, line_width=5, line_alpha=1., line_color='green')\n",
    "p.line('x', 'y1', source=source_invac_full_betas, line_width=5, line_alpha=.6, line_color='green', line_dash='dashed')\n",
    "p.line('x', 'y2', source=source_invac_full_betas, line_width=5, line_alpha=.6, line_color='green', line_dash='dashed')\n",
    "p.line('x', 'y1', source=source_window, line_width=5, line_color = 'royalblue', line_alpha=1., legend_label=\"Be window\")\n",
    "p.line('x', 'y2', source=source_window, line_width=5, line_color = 'royalblue', line_alpha=1.)\n",
    "p.line('x', 'y1', source=source_window_full_betas, line_width=5, line_color = 'royalblue', line_alpha=.6, line_dash='dashed')\n",
    "p.line('x', 'y2', source=source_window_full_betas, line_width=5, line_color = 'royalblue', line_alpha=.6, line_dash='dashed')\n",
    "p.line('x', 'y1', source=source_top_flange, line_width=5, line_alpha=.6, line_color='grey', legend_label=\"CF250 flange\")\n",
    "p.line('x', 'y2', source=source_top_flange, line_width=5, line_alpha=.6, line_color='grey')\n",
    "\n",
    "p.add_tools(HoverTool(tooltips=[(\"(gamma,delta)\", \"($x, $y)\")]))\n",
    "\n",
    "p.toolbar.active_scroll = p.select_one(WheelZoomTool)\n",
    "\n",
    "p.xaxis.axis_label = 'gamma (deg)'\n",
    "p.yaxis.axis_label = 'delta (deg)'\n",
    "p.xaxis.ticker = [0, 45,90,135,180]\n",
    "p.yaxis.ticker = [0, 45,90,135,180]\n",
    "p.legend.location='top_left'\n",
    "p.title.align='center'\n",
    "slider = Slider(start=0., end=360., step=15., value = 0., title='Position of Be window (90° downstream along beam)')\n",
    "slider.on_change('value',update_plot)\n",
    "\n",
    "p.x_range=Range1d(0, 180)\n",
    "p.y_range=Range1d(0, 180)\n",
    "\n",
    "g.xaxis.axis_label = 'z (mm)'\n",
    "g.yaxis.axis_label = 'x (mm)'\n",
    "g.xaxis.ticker = [-200,-100, 0,100,200]\n",
    "g.yaxis.ticker = [-100, 0,100,200]\n",
    "g.legend.location='top_left'\n",
    "\n",
    "\n",
    "figs = [p,g]\n",
    "for fig in figs:\n",
    "    #fig.title.text_font_size = '1pt'\n",
    "    fig.legend.label_text_font_size = '16pt'\n",
    "    fig.legend.background_fill_alpha = 0\n",
    "    fig.legend.border_line_alpha = 0\n",
    "\n",
    "    for axis in fig.axis:\n",
    "        axis.axis_label_text_font_size = '16pt'\n",
    "        axis.major_label_text_font_size = '16pt'\n",
    "        axis.axis_label_text_font_style = 'normal'\n",
    "\n",
    "#curdoc().add_root(layout)\n",
    "imgs = row(p,g)\n",
    "layout = column(imgs)\n",
    "plt.show(layout, notebook_handle=True)\n",
    "#curdoc().title = \"THC illustrator\n",
    "#np.save([])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pylab as plt2\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b8391fc0140348e98b52530315e72f21",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt2.subplots(2,1, sharex=True, figsize=(5*0.35/0.45,4.2))\n",
    "ax[0].plot(source_invac.data['x'], source_invac.data['y1'], color='seagreen', label='$in$-$vacuum$ $detector$')\n",
    "ax[0].plot(source_invac.data['x'], source_invac.data['y2'], color='seagreen')\n",
    "ax[0].plot(source_invac_full_betas.data['x'], source_invac_full_betas.data['y1'], color='seagreen', linestyle=(5,(4,4)))\n",
    "ax[0].plot(source_invac_full_betas.data['x'], source_invac_full_betas.data['y2'], color='seagreen', linestyle=(5,(4,4)))\n",
    "ax[0].fill_between(source_invac.data['x'],source_invac.data['y2'], source_invac.data['y1'], color='seagreen', alpha=0.2)\n",
    "\n",
    "ax[1].plot(source_top_flange.data['x'], source_top_flange.data['y1'], color='grey', label='$CF250$ $flange$', alpha=0.8)\n",
    "ax[1].plot(source_top_flange.data['x'], source_top_flange.data['y2'], color='grey', alpha=0.8)\n",
    "ax[1].plot(source_window.data['x'], source_window.data['y1'], color='royalblue', label='$Be$ $window$')\n",
    "ax[1].plot(source_window.data['x'], source_window.data['y2'], color='royalblue')\n",
    "ax[1].plot(source_window_full_betas.data['x'], source_window_full_betas.data['y1'], color='royalblue', linestyle=(5,(4,4)))\n",
    "ax[1].plot(source_window_full_betas.data['x'], source_window_full_betas.data['y2'], color='royalblue', linestyle=(5,(4,4)))\n",
    "ax[1].fill_between(source_window.data['x'],source_window.data['y2'], source_window.data['y1'], color='royalblue', alpha=0.2)\n",
    "\n",
    "\n",
    "ax[0].set_ylabel(r'$Elevation$ $\\delta$ $(°)$')\n",
    "ax[1].set_ylabel(r'$Elevation$ $\\delta$ $(°)$')\n",
    "ax[1].set_xlabel(r'$Azimuth$ $\\gamma$ $(°)$')\n",
    "ax[0].set_xlim(0,180)\n",
    "ax[0].set_ylim(0,180)\n",
    "ax[1].set_xlim(0,180)\n",
    "ax[1].set_ylim(0,180)\n",
    "ax[0].legend(frameon=False, loc='upper center')\n",
    "ax[1].legend(frameon=False, loc='upper center', ncol=2)\n",
    "ax[0].tick_params(direction='in')\n",
    "ax[0].tick_params(direction='in')\n",
    "ax[1].tick_params(direction='in')\n",
    "ax[1].tick_params(direction='in')\n",
    "ax[0].set_xticks([0,30,60,90,120,150,180])\n",
    "ax[0].set_yticks([0,45,90,135,180])\n",
    "ax[1].set_yticks([0,45,90,135,180])\n",
    "\n",
    "fig.tight_layout()\n",
    "#fig.savefig('accessible_angles.pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Resolution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def calc_resolution(h,r,px,energy=2000):\n",
    "    delta1 =np.pi/2- np.arctan(r/h)\n",
    "    #px = px * np.cos(np.pi/2-delta1)\n",
    "    #print('px', px)\n",
    "\n",
    "    delta2 = np.pi/2-np.arctan((r-px)/h)\n",
    "\n",
    "    d_delta = abs(delta1-delta2)\n",
    "    #print('deltas', delta1, delta2, d_delta)\n",
    "\n",
    "    wavelength = 1.24e-6/energy*1e9\n",
    "    #print(energy, wavelength)\n",
    "    d_q = 4*np.pi*np.sin((delta1)/2)/wavelength - 4*np.pi*np.sin((delta2)/2)/wavelength\n",
    "    return [d_delta, d_q]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Angular resolution fixed invac is (0.194 - 1.67)mrad\n",
      "q resolution fixed invac @2keV is (-0.00193 - -0.0119)nm-1\n",
      "q resolution fixed invac @5keV is (-0.00483 - -0.0298)nm-1\n",
      "Angular resolution mot invac is (0.298 - 0.306)mrad\n",
      "q resolution  mot invac @2keV is (-0.0023 - -0.00219)nm-1\n",
      "q resolution  mot invac @5keV is (-0.00576 - -0.00548)nm-1\n"
     ]
    }
   ],
   "source": [
    "\n",
    "\n",
    "#fixed\n",
    "h = 45\n",
    "px = 75e-3\n",
    "res, res_q = np.array([calc_resolution(h=h,r=0,px=px, energy=2000), calc_resolution(h=h,r=np.max(rs),px=px, energy=2000)]).T\n",
    "res, res_q5 = np.array([calc_resolution(h=h,r=0,px=px, energy=5000), calc_resolution(h=h,r=np.max(rs),px=px, energy=5000)]).T\n",
    "\n",
    "print(f'Angular resolution fixed invac is ({res[1]*1e3:.3} - {res[0]*1e3:.3})mrad')\n",
    "print(f'q resolution fixed invac @2keV is ({res_q[1]:.3} - {res_q[0]:.3})nm-1')\n",
    "print(f'q resolution fixed invac @5keV is ({res_q5[1]:.3} - {res_q5[0]:.3})nm-1')\n",
    "#motorized\n",
    "\n",
    "h = 245\n",
    "px = 75e-3\n",
    "res, res_q = np.array([calc_resolution(h=h,r=0,px=px, energy=2000), calc_resolution(h=h,r=40,px=px, energy=2000)]).T\n",
    "res, res_q5 = np.array([calc_resolution(h=h,r=0,px=px, energy=5000), calc_resolution(h=h,r=40,px=px, energy=5000)]).T\n",
    "\n",
    "print(f'Angular resolution mot invac is ({res[1]*1e3:.3} - {res[0]*1e3:.3})mrad')\n",
    "print(f'q resolution  mot invac @2keV is ({res_q[1]:.3} - {res_q[0]:.3})nm-1')\n",
    "print(f'q resolution  mot invac @5keV is ({res_q5[1]:.3} - {res_q5[0]:.3})nm-1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1.57079633 1.56526692 1.55973786 1.55420947 1.54868209 1.54315607\n",
      " 1.53763173 1.53210942 1.52658947 1.52107221 1.51555798 1.51004711\n",
      " 1.50453993 1.49903678 1.49353797 1.48804384 1.48255472 1.47707092\n",
      " 1.47159277 1.46612058 1.46065469 1.45519539 1.449743   1.44429784\n",
      " 1.4388602  1.43343041 1.42800875 1.42259553 1.41719105 1.41179559\n",
      " 1.40640946 1.40103293 1.3956663  1.39030984 1.38496382 1.37962854\n",
      " 1.37430424 1.36899121 1.36368971 1.35839999 1.35312231 1.34785692\n",
      " 1.34260408 1.33736401 1.33213698 1.3269232  1.32172292 1.31653635\n",
      " 1.31136374 1.30620528 1.30106121 1.29593172 1.29081703 1.28571734\n",
      " 1.28063285 1.27556375 1.27051023 1.26547248 1.26045067 1.25544499\n",
      " 1.2504556  1.24548268 1.24052639 1.23558688 1.2306643  1.22575883\n",
      " 1.22087058 1.21599972 1.21114637 1.20631067 1.20149275 1.19669273\n",
      " 1.19191074 1.18714688 1.18240127 1.17767402 1.17296524 1.16827501\n",
      " 1.16360345 1.15895063 1.15431665 1.14970159 1.14510553 1.14052855\n",
      " 1.13597071 1.1314321  1.12691276 1.12241276 1.11793216 1.11347102\n",
      " 1.10902938 1.10460728 1.10020478 1.09582191 1.09145871 1.08711521\n",
      " 1.08279144 1.07848743 1.07420319 1.06993876 1.06569414 1.06146936\n",
      " 1.05726441 1.05307932 1.04891409 1.04476871 1.04064319 1.03653753\n",
      " 1.03245171 1.02838574 1.0243396  1.02031328 1.01630676 1.01232002\n",
      " 1.00835304 1.00440581 1.00047829 0.99657047 0.9926823  0.98881376\n",
      " 0.98496481 0.98113543 0.97732557 0.97353519 0.96976425 0.96601271\n",
      " 0.96228053 0.95856765 0.95487404 0.95119964 0.9475444  0.94390827\n",
      " 0.94029119 0.9366931  0.93311396 0.92955371 0.92601227 0.9224896\n",
      " 0.91898563 0.9155003  0.91203355 0.9085853  0.90515549 0.90174405\n",
      " 0.89835092 0.89497603 0.8916193  0.88828067 0.88496006 0.8816574\n",
      " 0.87837262 0.87510564 0.87185638 0.86862477 0.86541074 0.86221421\n",
      " 0.85903509 0.85587332 0.85272881 0.84960148 0.84649125 0.84339805\n",
      " 0.84032178 0.83726238 0.83421976 0.83119384 0.82818453 0.82519176\n",
      " 0.82221544 0.81925548 0.81631181 0.81338434 0.81047299 0.80757767\n",
      " 0.8046983  0.80183479 0.79898707 0.79615504 0.79333863 0.79053775\n",
      " 0.78775231 0.78498223 0.78222742 0.7794878  0.77676329 0.7740538\n",
      " 0.77135925 0.76867955 0.76601462 0.76336437 0.76072872 0.75810759\n",
      " 0.75550089 0.75290853 0.75033045 0.74776654 0.74521673 0.74268094\n",
      " 0.74015908 0.73765106 0.73515682 0.73267626 0.7302093  0.72775586\n",
      " 0.72531586 0.72288922 0.72047586 0.71807569 0.71568864 0.71331462\n",
      " 0.71095356 0.70860537 0.70626998 0.70394731 0.70163728 0.6993398\n",
      " 0.69705481 0.69478222 0.69252196 0.69027395 0.68803811 0.68581437\n",
      " 0.68360265 0.68140288 0.67921497 0.67703886 0.67487446 0.67272171\n",
      " 0.67058054 0.66845086 0.6663326  0.6642257  0.66213008 0.66004566\n",
      " 0.65797238 0.65591017 0.65385894 0.65181864 0.64978919 0.64777053\n",
      " 0.64576258 0.64376527 0.64177854 0.63980232 0.63783653 0.63588112\n",
      " 0.63393601 0.63200115 0.63007645 0.62816186 0.62625731 0.62436274\n",
      " 0.62247808 0.62060327 0.61873824 0.61688293 0.61503727 0.61320121\n",
      " 0.61137468 0.60955762 0.60774997 0.60595166 0.60416265 0.60238285\n",
      " 0.60061223 0.5988507  0.59709823 0.59535474 0.59362019 0.5918945\n",
      " 0.59017763 0.58846951 0.5867701  0.58507933 0.58339714 0.58172349\n",
      " 0.58005831 0.57840155 0.57675316 0.57511307 0.57348125 0.57185763\n",
      " 0.57024216 0.56863479 0.56703547 0.56544414 0.56386075 0.56228525\n",
      " 0.56071759 0.55915771 0.55760558 0.55606113 0.55452432 0.5529951\n",
      " 0.55147342 0.54995924 0.54845249 0.54695314 0.54546114 0.54397644\n",
      " 0.54249899 0.54102875 0.53956567 0.5381097  0.5366608  0.53521893\n",
      " 0.53378403 0.53235607 0.53093499 0.52952077 0.52811334 0.52671267\n",
      " 0.52531872 0.52393144 0.52255079 0.52117673 0.51980921 0.5184482\n",
      " 0.51709365 0.51574552 0.51440377 0.51306837 0.51173926 0.51041642\n",
      " 0.5090998  0.50778935 0.50648506 0.50518686 0.50389474 0.50260864\n",
      " 0.50132853 0.50005437 0.49878613 0.49752377 0.49626724 0.49501653\n",
      " 0.49377158 0.49253236 0.49129884 0.49007098 0.48884875 0.48763211\n",
      " 0.48642103 0.48521547 0.48401539 0.48282077 0.48163157 0.48044776\n",
      " 0.4792693  0.47809616 0.47692831 0.47576571 0.47460834 0.47345616\n",
      " 0.47230914 0.47116724 0.47003044 0.46889871 0.46777201 0.46665031\n",
      " 0.46553359 0.46442181 0.46331494 0.46221296 0.46111583 0.46002352\n",
      " 0.45893601 0.45785326 0.45677525 0.45570195 0.45463334 0.45356937\n",
      " 0.45251003 0.45145528 0.4504051  0.44935947 0.44831835 0.44728171\n",
      " 0.44624954 0.44522181 0.44419848 0.44317953 0.44216494 0.44115468\n",
      " 0.44014872 0.43914704 0.43814962 0.43715642 0.43616743 0.43518262\n",
      " 0.43420196 0.43322544 0.43225301 0.43128468 0.4303204  0.42936015\n",
      " 0.42840391 0.42745167 0.42650338 0.42555904 0.42461862 0.42368209\n",
      " 0.42274944 0.42182064 0.42089566 0.4199745  0.41905712 0.4181435\n",
      " 0.41723362 0.41632746 0.41542501 0.41452623 0.4136311  0.41273961\n",
      " 0.41185174 0.41096746 0.41008676 0.40920961 0.40833599 0.40746589\n",
      " 0.40659928 0.40573615 0.40487647 0.40402023 0.4031674  0.40231797\n",
      " 0.40147192 0.40062922 0.39978987 0.39895383 0.3981211  0.39729166\n",
      " 0.39646548 0.39564255 0.39482285 0.39400636 0.39319306 0.39238294\n",
      " 0.39157599 0.39077217 0.38997148 0.38917389 0.3883794  0.38758798\n",
      " 0.38679962 0.38601429 0.38523199 0.3844527  0.3836764  0.38290307\n",
      " 0.3821327  0.38136527 0.38060077 0.37983918 0.37908048 0.37832466\n",
      " 0.37757171 0.3768216  0.37607433 0.37532987 0.37458822 0.37384936\n",
      " 0.37311326 0.37237993 0.37164934 0.37092148 0.37019633 0.36947388\n",
      " 0.36875412 0.36803702 0.36732259 0.3666108  0.36590164 0.36519509\n",
      " 0.36449114 0.36378979 0.36309101 0.36239478 0.36170111 0.36100997\n",
      " 0.36032135 0.35963524 0.35895163 0.35827049 0.35759183 0.35691562\n",
      " 0.35624186 0.35557052 0.35490161 0.3542351  0.35357099 0.35290925\n",
      " 0.35224989 0.35159288 0.35093822 0.35028589 0.34963588 0.34898818\n",
      " 0.34834278 0.34769967] [0.075      0.07500115 0.07500459 0.07501032 0.07501834 0.07502866\n",
      " 0.07504126 0.07505616 0.07507334 0.07509281 0.07511457 0.07513861\n",
      " 0.07516492 0.07519352 0.07522439 0.07525753 0.07529295 0.07533063\n",
      " 0.07537057 0.07541277 0.07545723 0.07550394 0.0755529  0.0756041\n",
      " 0.07565754 0.07571321 0.07577111 0.07583124 0.07589358 0.07595814\n",
      " 0.0760249  0.07609387 0.07616503 0.07623838 0.07631391 0.07639162\n",
      " 0.07647151 0.07655355 0.07663775 0.0767241  0.07681259 0.07690322\n",
      " 0.07699597 0.07709084 0.07718783 0.07728692 0.0773881  0.07749137\n",
      " 0.07759672 0.07770414 0.07781362 0.07792516 0.07803874 0.07815435\n",
      " 0.078272   0.07839165 0.07851332 0.07863699 0.07876264 0.07889028\n",
      " 0.07901989 0.07915145 0.07928497 0.07942043 0.07955782 0.07969713\n",
      " 0.07983835 0.07998147 0.08012649 0.08027338 0.08042214 0.08057277\n",
      " 0.08072524 0.08087956 0.0810357  0.08119366 0.08135342 0.08151499\n",
      " 0.08167833 0.08184346 0.08201035 0.08217899 0.08234938 0.0825215\n",
      " 0.08269534 0.08287089 0.08304814 0.08322708 0.0834077  0.08358998\n",
      " 0.08377392 0.08395951 0.08414673 0.08433558 0.08452603 0.08471809\n",
      " 0.08491174 0.08510697 0.08530377 0.08550213 0.08570204 0.08590348\n",
      " 0.08610645 0.08631094 0.08651693 0.08672441 0.08693338 0.08714381\n",
      " 0.08735571 0.08756907 0.08778386 0.08800008 0.08821772 0.08843677\n",
      " 0.08865722 0.08887906 0.08910228 0.08932686 0.0895528  0.08978009\n",
      " 0.09000872 0.09023867 0.09046994 0.09070251 0.09093638 0.09117154\n",
      " 0.09140797 0.09164567 0.09188463 0.09212483 0.09236628 0.09260894\n",
      " 0.09285283 0.09309793 0.09334422 0.09359171 0.09384037 0.09409021\n",
      " 0.0943412  0.09459335 0.09484664 0.09510107 0.09535662 0.09561328\n",
      " 0.09587106 0.09612993 0.09638989 0.09665093 0.09691304 0.09717621\n",
      " 0.09744044 0.09770571 0.09797202 0.09823936 0.09850772 0.0987771\n",
      " 0.09904747 0.09931884 0.0995912  0.09986454 0.10013885 0.10041412\n",
      " 0.10069035 0.10096753 0.10124564 0.10152469 0.10180467 0.10208556\n",
      " 0.10236735 0.10265005 0.10293365 0.10321813 0.10350349 0.10378973\n",
      " 0.10407683 0.10436479 0.1046536  0.10494325 0.10523374 0.10552506\n",
      " 0.1058172  0.10611016 0.10640393 0.1066985  0.10699387 0.10729003\n",
      " 0.10758697 0.10788469 0.10818318 0.10848244 0.10878245 0.10908321\n",
      " 0.10938472 0.10968697 0.10998995 0.11029365 0.11059808 0.11090323\n",
      " 0.11120908 0.11151563 0.11182289 0.11213083 0.11243947 0.11274878\n",
      " 0.11305876 0.11336942 0.11368074 0.11399272 0.11430535 0.11461863\n",
      " 0.11493256 0.11524712 0.11556231 0.11587813 0.11619457 0.11651162\n",
      " 0.11682929 0.11714757 0.11746644 0.11778592 0.11810598 0.11842664\n",
      " 0.11874787 0.11906969 0.11939207 0.11971503 0.12003855 0.12036262\n",
      " 0.12068726 0.12101244 0.12133817 0.12166444 0.12199125 0.12231859\n",
      " 0.12264646 0.12297485 0.12330376 0.12363319 0.12396314 0.12429359\n",
      " 0.12462454 0.12495599 0.12528794 0.12562038 0.12595331 0.12628673\n",
      " 0.12662062 0.12695499 0.12728983 0.12762514 0.12796092 0.12829716\n",
      " 0.12863386 0.12897101 0.12930861 0.12964666 0.12998516 0.13032409\n",
      " 0.13066346 0.13100327 0.1313435  0.13168416 0.13202525 0.13236676\n",
      " 0.13270868 0.13305102 0.13339377 0.13373692 0.13408048 0.13442444\n",
      " 0.1347688  0.13511356 0.13545871 0.13580424 0.13615017 0.13649647\n",
      " 0.13684316 0.13719022 0.13753766 0.13788547 0.13823365 0.1385822\n",
      " 0.13893111 0.13928038 0.13963    0.13997999 0.14033032 0.14068101\n",
      " 0.14103204 0.14138342 0.14173514 0.1420872  0.1424396  0.14279233\n",
      " 0.1431454  0.14349879 0.14385252 0.14420656 0.14456093 0.14491562\n",
      " 0.14527063 0.14562595 0.14598159 0.14633754 0.14669379 0.14705036\n",
      " 0.14740722 0.14776439 0.14812186 0.14847963 0.14883769 0.14919605\n",
      " 0.14955469 0.14991363 0.15027285 0.15063236 0.15099215 0.15135222\n",
      " 0.15171258 0.1520732  0.15243411 0.15279528 0.15315673 0.15351845\n",
      " 0.15388043 0.15424268 0.1546052  0.15496797 0.15533101 0.1556943\n",
      " 0.15605785 0.15642166 0.15678571 0.15715002 0.15751458 0.15787938\n",
      " 0.15824443 0.15860973 0.15897527 0.15934104 0.15970706 0.16007332\n",
      " 0.16043981 0.16080653 0.16117349 0.16154068 0.1619081  0.16227574\n",
      " 0.16264361 0.16301171 0.16338003 0.16374857 0.16411734 0.16448632\n",
      " 0.16485552 0.16522493 0.16559456 0.1659644  0.16633446 0.16670472\n",
      " 0.16707519 0.16744588 0.16781676 0.16818785 0.16855915 0.16893064\n",
      " 0.16930234 0.16967424 0.17004633 0.17041862 0.17079111 0.17116379\n",
      " 0.17153667 0.17190973 0.17228299 0.17265643 0.17303007 0.17340389\n",
      " 0.17377789 0.17415208 0.17452645 0.17490101 0.17527575 0.17565066\n",
      " 0.17602575 0.17640103 0.17677647 0.1771521  0.17752789 0.17790386\n",
      " 0.17828    0.17865632 0.1790328  0.17940945 0.17978627 0.18016325\n",
      " 0.1805404  0.18091771 0.18129519 0.18167283 0.18205063 0.18242859\n",
      " 0.18280672 0.18318499 0.18356343 0.18394202 0.18432077 0.18469968\n",
      " 0.18507873 0.18545794 0.1858373  0.18621681 0.18659648 0.18697629\n",
      " 0.18735624 0.18773635 0.1881166  0.188497   0.18887754 0.18925822\n",
      " 0.18963905 0.19002002 0.19040113 0.19078238 0.19116377 0.1915453\n",
      " 0.19192697 0.19230877 0.19269071 0.19307278 0.19345499 0.19383733\n",
      " 0.19421981 0.19460242 0.19498515 0.19536802 0.19575102 0.19613415\n",
      " 0.1965174  0.19690079 0.1972843  0.19766793 0.19805169 0.19843558\n",
      " 0.19881959 0.19920372 0.19958798 0.19997235 0.20035685 0.20074147\n",
      " 0.20112621 0.20151106 0.20189604 0.20228113 0.20266634 0.20305166\n",
      " 0.20343711 0.20382266 0.20420833 0.20459412 0.20498001 0.20536602\n",
      " 0.20575214 0.20613837 0.20652471 0.20691117 0.20729773 0.2076844\n",
      " 0.20807118 0.20845806 0.20884505 0.20923215 0.20961935 0.21000666\n",
      " 0.21039408 0.21078159 0.21116921 0.21155694 0.21194476 0.21233269\n",
      " 0.21272072 0.21310885 0.21349707 0.2138854  0.21427383 0.21466235\n",
      " 0.21505098 0.2154397  0.21582851 0.21621743 0.21660644 0.21699554\n",
      " 0.21738474 0.21777403 0.21816342 0.2185529  0.21894247 0.21933213\n",
      " 0.21972189 0.22011174]\n",
      "2000 0.62\n"
     ]
    }
   ],
   "source": [
    "x = np.linspace(0,np.max(rs), 500)\n",
    "y,n = calc_resolution(h=45,r=x,px=px)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1ed4bf5ff88>]"
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pylab as pyplt\n",
    "pyplt.figure()\n",
    "pyplt.plot(x,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.33399999999999996"
      ]
     },
     "execution_count": 204,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "1.67/5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}