{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "8a365a14",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "# CrysFML: CIF-based vs file-less interfaces"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9ecc4733",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# Misc\n",
    "import sys, os\n",
    "import numpy as np\n",
    "\n",
    "# CrysFML\n",
    "import CFML_api\n",
    "\n",
    "# Vizualization\n",
    "import py3Dmol\n",
    "from bokeh.io import show, output_notebook\n",
    "from bokeh.plotting import figure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d76d50fc",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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=\"1002\">Loading BokehJS ...</span>\n",
       "    </div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  const 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",
       "const JS_MIME_TYPE = 'application/javascript';\n",
       "  const HTML_MIME_TYPE = 'text/html';\n",
       "  const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
       "  const CLASS_NAME = 'output_bokeh rendered_html';\n",
       "\n",
       "  /**\n",
       "   * Render data to the DOM node\n",
       "   */\n",
       "  function render(props, node) {\n",
       "    const 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",
       "    const cell = handle.cell;\n",
       "\n",
       "    const id = cell.output_area._bokeh_element_id;\n",
       "    const 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",
       "      const cmd_clean = \"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_clean, {\n",
       "        iopub: {\n",
       "          output: function(msg) {\n",
       "            const 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",
       "      const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
       "      cell.notebook.kernel.execute(cmd_destroy);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when a new output is added\n",
       "   */\n",
       "  function handleAddOutput(event, handle) {\n",
       "    const output_area = handle.output_area;\n",
       "    const output = handle.output;\n",
       "\n",
       "    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
       "    if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n",
       "      return\n",
       "    }\n",
       "\n",
       "    const 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",
       "      const bk_div = document.createElement(\"div\");\n",
       "      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "      const script_attrs = bk_div.children[0].attributes;\n",
       "      for (let 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",
       "      const 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",
       "      const 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",
       "    const events = require('base/js/events');\n",
       "    const 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",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  const 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",
       "    const el = document.getElementById(\"1002\");\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",
       "  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(url) {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    for (let i = 0; i < css_urls.length; i++) {\n",
       "      const url = css_urls[i];\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error.bind(null, url);\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",
       "    for (let i = 0; i < js_urls.length; i++) {\n",
       "      const url = js_urls[i];\n",
       "      const element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error.bind(null, url);\n",
       "      element.async = false;\n",
       "      element.src = url;\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",
       "  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.3.min.js\"];\n",
       "  const css_urls = [];\n",
       "\n",
       "  const inline_js = [    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "function(Bokeh) {\n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    if (root.Bokeh !== undefined || force === true) {\n",
       "          for (let 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",
       "      const cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\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": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const 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  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const 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    const el = document.getElementById(\"1002\");\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  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(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\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    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\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  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.3.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n          for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\nif (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      const cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\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"
    }
   ],
   "source": [
    "output_notebook()\n",
    "FIGURE_WIDTH = 700\n",
    "FIGURE_HEIGHT = 300"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9bc7ab53",
   "metadata": {},
   "outputs": [],
   "source": [
    "def diffraction_pattern_xy(space_group, cell, atom_list, job_info):\n",
    "    reflection_list = CFML_api.ReflectionList(cell, space_group, \n",
    "                                              True, \n",
    "                                              job_info)\n",
    "    reflection_list.compute_structure_factors(space_group, \n",
    "                                              atom_list, \n",
    "                                              job_info)\n",
    "    diffraction_pattern = CFML_api.DiffractionPattern(job_info,\n",
    "                                                  reflection_list, \n",
    "                                                  cell.reciprocal_cell_vol)\n",
    "    return diffraction_pattern.x, diffraction_pattern.ycalc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d3303408",
   "metadata": {},
   "outputs": [],
   "source": [
    "def set_default_parameters(job_info):\n",
    "    job_info.range_2theta = (10.0, 160.0)\n",
    "    job_info.theta_step = 0.03\n",
    "    job_info.lambdas = (1.5405, 1.5405)\n",
    "    job_info.lambda_ratio = 1.0\n",
    "    job_info.u_resolution = 0.0509\n",
    "    job_info.v_resolution = -0.08 # -0.0992 from PCR leads to empty regions...\n",
    "    job_info.w_resolution = 0.0395\n",
    "    job_info.x_resolution = 0.1491\n",
    "    job_info.y_resolution = 0.0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "283767f9",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## CIF-based interface"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce076eb8",
   "metadata": {},
   "source": [
    "### Create CIF object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "4723a206",
   "metadata": {},
   "outputs": [],
   "source": [
    "cif_obj = CFML_api.CIFFile('../datasets/xrays_powder_PbSO4/PbSO4.cif')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb97cfac",
   "metadata": {},
   "source": [
    "### Create space group object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6a7278e8",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "        Information on Space Group: \n",
      "        --------------------------- \n",
      "\n",
      " =>   Number of Space group:  62\n",
      " =>  Hermann-Mauguin Symbol: P n m a\n",
      " =>             Hall Symbol: -P 2ac 2n\n",
      " =>            Setting Type: IT (Generated from Hermann-Mauguin symbol)\n",
      " =>          Crystal System: Orthorhombic\n",
      " =>              Laue Class: mmm\n",
      " =>             Point Group: mmm\n",
      " =>         Bravais Lattice: P\n",
      " =>          Lattice Symbol: oP\n",
      " =>  Reduced Number of S.O.:   4\n",
      " =>    General multiplicity:   8\n",
      " =>          Centrosymmetry: Centric (-1 at origin)\n",
      " =>  Generators (exc. -1&L):   2\n",
      " =>         Asymmetric unit:  0.000 <= x <=  0.500\n",
      "                              0.000 <= y <=  0.250\n",
      "                              0.000 <= z <=  1.000\n",
      " => Centring vectors:  0\n",
      "                                                                                                    \n",
      "\n",
      " => List of all Symmetry Operators and Symmetry Symbols\n",
      "\n",
      " => SYMM(  1): x,y,z                             Symbol: 1\n",
      " => SYMM(  2): x+1/2,-y+1/2,-z+1/2               Symbol: 2 (1/2,0,0) x,1/4,1/4\n",
      " => SYMM(  3): -x,y+1/2,-z                       Symbol: 2 (0,1/2,0) 0,y,0\n",
      " => SYMM(  4): -x+1/2,-y,z+1/2                   Symbol: 2 (0,0,1/2) 1/4,0,z\n",
      " => SYMM(  5): -x,-y,-z                          Symbol: -1 0,0,0\n",
      " => SYMM(  6): -x+1/2,y+1/2,z+1/2                Symbol: n (0,1/2,1/2) 1/4,y,z\n",
      " => SYMM(  7): x,-y+1/2,z                        Symbol: m x,1/4,z\n",
      " => SYMM(  8): x+1/2,y,-z+1/2                    Symbol: a x,y,1/4\n",
      "\n",
      " => Special Wyckoff Positions for P n m a\n",
      " \n",
      "    Multp     Site        Representative Coordinates (centring translations excluded)\n",
      "      4       c              x,1/4,z             x+1/2,1/4,-z+1/2    -x,3/4,-z                               \n",
      "                             -x+1/2,3/4,z+1/2                                                                \n",
      " \n",
      "      4       b              0,0,1/2             1/2,1/2,0           0,1/2,1/2                               \n",
      "                             1/2,0,0                                                                         \n",
      " \n",
      "      4       a              0,0,0               1/2,1/2,1/2         0,1/2,0                                 \n",
      "                             1/2,0,1/2                                                                       \n",
      " \n"
     ]
    }
   ],
   "source": [
    "space_group = cif_obj.space_group\n",
    "space_group.print_description()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ddfbff73",
   "metadata": {},
   "source": [
    "### Create unit cell object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "95854943",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "        Metric information:\n",
      "        -------------------\n",
      "\n",
      " => Direct cell parameters:\n",
      "\n",
      "         a =       8.4770      b =       5.3960      c =       6.9570\n",
      "     alpha =       90.000   beta =       90.000  gamma =       90.000\n",
      "                        Direct Cell Volume =     318.2263\n",
      "\n",
      " => Reciprocal cell parameters:\n",
      "\n",
      "         a*=     0.117966      b*=     0.185322      c*=     0.143740\n",
      "     alpha*=       90.000   beta*=       90.000  gamma*=       90.000\n",
      "                    Reciprocal Cell Volume =   0.00314242\n",
      "\n",
      " => Direct and Reciprocal Metric Tensors:\n",
      "\n",
      "                   GD                                       GR\n",
      "     71.8595      0.0000      0.0000          0.013916    0.000000    0.000000\n",
      "      0.0000     29.1168      0.0000          0.000000    0.034344    0.000000\n",
      "      0.0000      0.0000     48.3999          0.000000    0.000000    0.020661\n",
      "\n",
      " =>  Cartesian frame: z // c; y is in the bc-plane; x is along y ^ z = a*  \n",
      "\n",
      "     Crystal_to_Orthonormal_Matrix              Orthonormal_to_Crystal Matrix\n",
      "              Cr_Orth_cel                               Orth_Cr_cel  \n",
      "      8.4770      0.0000      0.0000          0.117966   -0.000000   -0.000000\n",
      "      0.0000      5.3960      0.0000         -0.000000    0.185322   -0.000000\n",
      "      0.0000      0.0000      6.9570          0.000000   -0.000000    0.143740\n",
      "\n",
      "     Busing-Levy B-matrix: Hc=B.H            Inverse of the Busing-Levy B-matrix\n",
      "                BL_M                                      BL_Minv  \n",
      "    0.117966    0.000000    0.000000            8.4770     -0.0000     -0.0000\n",
      "    0.000000    0.185322   -0.000000           -0.0000      5.3960      0.0000\n",
      "    0.000000    0.000000    0.143740            0.0000     -0.0000      6.9570\n"
     ]
    }
   ],
   "source": [
    "unit_cell = cif_obj.cell\n",
    "unit_cell.print_description()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a0e8dc6",
   "metadata": {},
   "source": [
    "### Create list of atoms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7da88878",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "        Atoms information:\n",
      "        ------------------\n",
      "\n",
      "    Atom      Chem        x/a       y/b       z/c       Biso     Occ       Mult\n",
      "    ===========================================================================\n",
      "    Pb         Pb       0.1880    0.2500    0.1668    1.3344    0.5000        4  None\n",
      "    S          S        0.0650    0.2500    0.6850    0.1974    0.5000        4  None\n",
      "    O1         O        0.9080    0.2500    0.5950    1.9423    0.5000        4  None\n",
      "    O2         O        0.1935    0.2500    0.5432    1.4212    0.5000        4  None\n",
      "    O3         O        0.0814    0.0274    0.8085    1.3028    1.0000        8  None\n"
     ]
    }
   ],
   "source": [
    "atom_list = cif_obj.atom_list\n",
    "atom_list.print_description()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd1c94a8",
   "metadata": {},
   "source": [
    "### Create job definition object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "aab41873",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " General Job: CrysFML\n",
      "Number of patterns: 1\n",
      "Type of pattern: XRAY_2THE       \n",
      "Number of phases: 1\n",
      "Name of phases:  General Job: CrysFML                                                                                                           \n",
      "Name of phases:  General Job: CrysFML                                                                                                           \n",
      "Lambda range: (1.5405000448226929, 1.5405000448226929)\n",
      "Lambda ratio: 0.0\n",
      "Range 2theta: (0.0, 120.0)\n",
      "Range sin(theta)/lambda: (0.0, 0.5621716380119324)\n"
     ]
    }
   ],
   "source": [
    "job_info = cif_obj.job_info\n",
    "job_info.print_description()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "276d7756",
   "metadata": {},
   "source": [
    "### Modify job definition object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "cbb76ae3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " General Job: CrysFML\n",
      "Number of patterns: 1\n",
      "Type of pattern: XRAY_2THE       \n",
      "Number of phases: 1\n",
      "Name of phases:  General Job: CrysFML                                                                                                           \n",
      "Name of phases:  General Job: CrysFML                                                                                                           \n",
      "Lambda range: (1.5405000448226929, 1.5405000448226929)\n",
      "Lambda ratio: 1.0\n",
      "Range 2theta: (10.0, 160.0)\n",
      "Range sin(theta)/lambda: (0.05657626688480377, 0.6392779350280762)\n"
     ]
    }
   ],
   "source": [
    "#job_info.pattern_type = \"NEUT_2THE\"\n",
    "set_default_parameters(job_info)\n",
    "job_info.print_description()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13166b98",
   "metadata": {},
   "source": [
    "### Plot calculated pattern"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "561196c8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " XRAY_2THE       \n"
     ]
    },
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\",\"dtype\":\"float32\",\"order\":\"little\",\"shape\":[5001]},\"y\":{\"__ndarray__\":\"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       "  const render_items = [{\"docid\":\"f7fac797-b83f-49cd-b689-3d9fc17167c6\",\"root_ids\":[\"1003\"],\"roots\":{\"1003\":\"90a06a86-dd61-4207-a53d-0f5cb051ad8f\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
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       "    let attempts = 0;\n",
       "    const timer = setInterval(function(root) {\n",
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       "      } 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": "1003"
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     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_data, y_data_cif_xrays = diffraction_pattern_xy(space_group, unit_cell, atom_list, job_info)\n",
    "fig = figure(width=FIGURE_WIDTH, height=FIGURE_HEIGHT)\n",
    "fig.line(x_data, y_data_cif_xrays/200, legend_label='Xrays (CIF-based) / 200', color='dodgerblue', line_width=2)\n",
    "show(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e5916ec",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## File-less interface"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "45dbea02",
   "metadata": {},
   "source": [
    "### Create space group object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "85719689",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "        Information on Space Group: \n",
      "        --------------------------- \n",
      "\n",
      " =>   Number of Space group:  62\n",
      " =>  Hermann-Mauguin Symbol: P n m a\n",
      " =>             Hall Symbol: -P 2ac 2n\n",
      " =>            Setting Type: IT (Generated from Hermann-Mauguin symbol)\n",
      " =>          Crystal System: Orthorhombic\n",
      " =>              Laue Class: mmm\n",
      " =>             Point Group: mmm\n",
      " =>         Bravais Lattice: P\n",
      " =>          Lattice Symbol: oP\n",
      " =>  Reduced Number of S.O.:   4\n",
      " =>    General multiplicity:   8\n",
      " =>          Centrosymmetry: Centric (-1 at origin)\n",
      " =>  Generators (exc. -1&L):   2\n",
      " =>         Asymmetric unit:  0.000 <= x <=  0.500\n",
      "                              0.000 <= y <=  0.250\n",
      "                              0.000 <= z <=  1.000\n",
      " => Centring vectors:  0\n",
      "                                                                                                    \n",
      "\n",
      " => List of all Symmetry Operators and Symmetry Symbols\n",
      "\n",
      " => SYMM(  1): x,y,z                             Symbol: 1\n",
      " => SYMM(  2): x+1/2,-y+1/2,-z+1/2               Symbol: 2 (1/2,0,0) x,1/4,1/4\n",
      " => SYMM(  3): -x,y+1/2,-z                       Symbol: 2 (0,1/2,0) 0,y,0\n",
      " => SYMM(  4): -x+1/2,-y,z+1/2                   Symbol: 2 (0,0,1/2) 1/4,0,z\n",
      " => SYMM(  5): -x,-y,-z                          Symbol: -1 0,0,0\n",
      " => SYMM(  6): -x+1/2,y+1/2,z+1/2                Symbol: n (0,1/2,1/2) 1/4,y,z\n",
      " => SYMM(  7): x,-y+1/2,z                        Symbol: m x,1/4,z\n",
      " => SYMM(  8): x+1/2,y,-z+1/2                    Symbol: a x,y,1/4\n",
      "\n",
      " => Special Wyckoff Positions for P n m a\n",
      " \n",
      "    Multp     Site        Representative Coordinates (centring translations excluded)\n",
      "      4       c              x,1/4,z             x+1/2,1/4,-z+1/2    -x,3/4,-z                               \n",
      "                             -x+1/2,3/4,z+1/2                                                                \n",
      " \n",
      "      4       b              0,0,1/2             1/2,1/2,0           0,1/2,1/2                               \n",
      "                             1/2,0,0                                                                         \n",
      " \n",
      "      4       a              0,0,0               1/2,1/2,1/2         0,1/2,0                                 \n",
      "                             1/2,0,1/2                                                                       \n",
      " \n"
     ]
    }
   ],
   "source": [
    "space_group = CFML_api.SpaceGroup('P n m a')\n",
    "space_group.print_description()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7318fe30",
   "metadata": {},
   "source": [
    "### Create unit cell object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "3331332e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "        Metric information:\n",
      "        -------------------\n",
      "\n",
      " => Direct cell parameters:\n",
      "\n",
      "         a =       8.4770      b =       5.3960      c =       6.9570\n",
      "     alpha =       90.000   beta =       90.000  gamma =       90.000\n",
      "                        Direct Cell Volume =     318.2263\n",
      "\n",
      " => Reciprocal cell parameters:\n",
      "\n",
      "         a*=     0.117966      b*=     0.185322      c*=     0.143740\n",
      "     alpha*=       90.000   beta*=       90.000  gamma*=       90.000\n",
      "                    Reciprocal Cell Volume =   0.00314242\n",
      "\n",
      " => Direct and Reciprocal Metric Tensors:\n",
      "\n",
      "                   GD                                       GR\n",
      "     71.8595      0.0000      0.0000          0.013916    0.000000    0.000000\n",
      "      0.0000     29.1168      0.0000          0.000000    0.034344    0.000000\n",
      "      0.0000      0.0000     48.3998          0.000000    0.000000    0.020661\n",
      "\n",
      " =>  Cartesian frame: z // c; y is in the bc-plane; x is along y ^ z = a*  \n",
      "\n",
      "     Crystal_to_Orthonormal_Matrix              Orthonormal_to_Crystal Matrix\n",
      "              Cr_Orth_cel                               Orth_Cr_cel  \n",
      "      8.4770      0.0000      0.0000          0.117966   -0.000000    0.000000\n",
      "      0.0000      5.3960      0.0000         -0.000000    0.185322   -0.000000\n",
      "      0.0000      0.0000      6.9570         -0.000000   -0.000000    0.143740\n",
      "\n",
      "     Busing-Levy B-matrix: Hc=B.H            Inverse of the Busing-Levy B-matrix\n",
      "                BL_M                                      BL_Minv  \n",
      "    0.117966   -0.000000   -0.000000            8.4770      0.0000      0.0000\n",
      "   -0.000000    0.185322   -0.000000            0.0000      5.3960      0.0000\n",
      "    0.000000   -0.000000    0.143740            0.0000      0.0000      6.9570\n"
     ]
    }
   ],
   "source": [
    "lengths = np.asarray([8.477,5.396,6.957], dtype='float32')\n",
    "angles = np.asarray([90,90,90], dtype='float32')\n",
    "unit_cell = CFML_api.Cell(lengths, angles)\n",
    "unit_cell.print_description()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7abc667",
   "metadata": {},
   "source": [
    "### Create list of atoms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "990fd6f8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "        Atoms information:\n",
      "        ------------------\n",
      "\n",
      "    Atom      Chem        x/a       y/b       z/c       Biso     Occ       Mult\n",
      "    ===========================================================================\n",
      "    Pb         Pb       0.1880    0.2500    0.1668    1.3344    0.5000        4  None\n",
      "    S          S        0.0650    0.2500    0.6850    0.1974    0.5000        4  None\n",
      "    O1         O        0.9080    0.2500    0.5950    1.9423    0.5000        4  None\n",
      "    O2         O        0.1935    0.2500    0.5432    1.4212    0.5000        4  None\n",
      "    O3         O        0.0814    0.0274    0.8085    1.3028    1.0000        8  None\n"
     ]
    }
   ],
   "source": [
    "cif_str = '''\n",
    "loop_\n",
    " _atom_site_label\n",
    " _atom_site_type_symbol\n",
    " _atom_site_occupancy\n",
    " _atom_site_fract_x\n",
    " _atom_site_fract_y\n",
    " _atom_site_fract_z\n",
    " _atom_site_adp_type\n",
    " _atom_site_U_iso_or_equiv\n",
    "  Pb  Pb  1.0  0.1880  0.25    0.1668  Uiso  0.0169\n",
    "  S   S   1.0  0.0650  0.25    0.6850  Uiso  0.0025\n",
    "  O1  O   1.0  0.9080  0.25    0.5950  Uiso  0.0246\n",
    "  O2  O   1.0  0.1935  0.25    0.5432  Uiso  0.0180\n",
    "  O3  O   1.0  0.0814  0.0274  0.8085  Uiso  0.0165\n",
    "'''\n",
    "atom_list = CFML_api.AtomList(cif_str.split('\\n'))\n",
    "atom_list.set_mult_occ_cif(space_group)\n",
    "atom_list.print_description()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e85b2978",
   "metadata": {},
   "source": [
    "### Create job definition object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "9651c148",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SRTIO3\n",
      "Number of patterns: 1\n",
      "Type of pattern: XRAY_2THE       \n",
      "Number of phases: 1\n",
      "Name of phases: SRTIO3                                                                                                                          \n",
      "Name of phases: SRTIO3                                                                                                                          \n",
      "Lambda range: (1.5405000448226929, 1.5405000448226929)\n",
      "Lambda ratio: 0.0\n",
      "Range 2theta: (0.0, 120.0)\n",
      "Range sin(theta)/lambda: (0.0, 0.5621716380119324)\n"
     ]
    }
   ],
   "source": [
    "cfl_str = '''\n",
    "Title SrTiO3\n",
    "'''\n",
    "job_info = CFML_api.JobInfo(cfl_str.split('\\n'))\n",
    "job_info.print_description()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d2a501f",
   "metadata": {},
   "source": [
    "### Modify job definition object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a54b8c2b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SRTIO3\n",
      "Number of patterns: 1\n",
      "Type of pattern: XRAY_2THE       \n",
      "Number of phases: 1\n",
      "Name of phases: SRTIO3                                                                                                                          \n",
      "Name of phases: SRTIO3                                                                                                                          \n",
      "Lambda range: (1.5405000448226929, 1.5405000448226929)\n",
      "Lambda ratio: 1.0\n",
      "Range 2theta: (10.0, 160.0)\n",
      "Range sin(theta)/lambda: (0.05657626688480377, 0.6392779350280762)\n"
     ]
    }
   ],
   "source": [
    "#job_info.pattern_type = \"NEUT_2THE\"\n",
    "set_default_parameters(job_info)\n",
    "job_info.print_description()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d389b01",
   "metadata": {},
   "source": [
    "### Plot calculated pattern"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "ff08fbf0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " XRAY_2THE       \n"
     ]
    },
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4YP1pyED+s4gk/ofQEP1qAAT+R3P4+Bmz9PmO8/j7CfQE/RT8FP9rlCj8W2BI/t7cdP3yuLD9vhkI/CUlnP4P5mD/D6+0/zCRWQJ3VykABpTdBjxeWQSBH10EICAVCjhwLQoG59EHpvrdBk+FvQTwSC0EBOpVABE8gQLvJvz+vSIg/9nFePxFLRD+8QDQ/1J8pPze0Ij8puh4/2EkdP1MvHj9oXiE/OO8mP6EgLz89Xzo/GlZJP64aXT+l2HU/uDiOPwrYrj86fPE/mPFDQLjwtEDMxytBPXuZQXqO9UHRhytCX2RNQqH4TkIsVy9CwFH+QXHooEGAJDZBwNrBQGYtVEDhdwRAZv7DP9sHpD/umpI/CrKHP9uPgD/vRng/7MxzPxEYcz+403U//957P/yigj+0H4k/5ZeRPxNZnD8S0qk/MZ66P86Xzz/x9ek/w8sFQFb9G0A21DtAN5NxQN2xr0DCqRVBnSaOQboQCEIcE3JC34G/QlO0A0NqfRpDhsIXQx9Z+kKl2LBCThdaQqr48EHDQHtBnFMHQVNFpkChFXBASk9CQJoZJ0ASkxRAJUkHQAyZ+z/Ytu4/4QnnP+wY5D/0v+U/AyzsP//j9z9x8wRA5AcSQLpCJUAaWURAjt1/QCaiwUDyCCtB5X+iQa4QFkJcCnxCfRO6QuGM7EK0V/1CEkHiQhMeq0IK3l9CFGkBQuhriUGEPBBBaIGlQGp4XUB6HylASyMLQK5S7T+xdM4/gCu2P7Kpoj/jx5I/G7eFPyzAdT9ho2M/oW1UP32cRz96yjw//KgzP6H5Kz+BiyU/2DcgP73fGz8kaxg/YccVPzrmEz+KvRI/n0YSP/V9Ej8YYxM/gfgUP8VDFz+GTRo/ESIeP2bRIj/6byg/vBcvP2hJNj8YbT8/sRJKP892Vj/D5GQ/nLt1P/m4hD/4T5A/9AOeP/xSrj/T48E/FJTZP4OQ9j/uPg1Az+MjQKBIQUDSBmpAGmOVQO+m00AjHi5Beu6hQYP9GkIWvItCgU3hQg0UHkMA0jxDOsA7QwCOG0MoudtCBTqHQgInFUL1mJtBEf4nQcWozUCLC5JAaENlQGQ+PUCKJiBA3aEJQFxl7z84VtI/23m6PwWppj+hCJY/A/WHP87idz/aOWM/wFhRP5vIQT/MKTQ/9i8oPwidHT+tPRQ/D+gLP2p5BD/AqPs+aMHvPjET5T5ce9s+W9zSPokcyz5sJsQ+jOe9PvxiuD4WZbM+QPWuPnQJqz5umac+CJ6kPoERoj4t758+UTOePkPbnD5I5Zs+elCbPvAcmz6oS5s+mN6bPrrYnD4bPp4+FxSgPkZhoj7sLaU+94OoPlxvrD6x/rA+OEO2PqBRvD4JQ8M+eDXLPilN1D6stt4+zqfqPrJj+D6KHgQ/xE0NP48BGD/qjSQ/hV8zP+QFRT9kP1o/7g10P4bsiT9e1Z0/wG63PzM82j/1xAdApso4QFGokECUPAFBN1hyQdMn2UFmKi9CGmB2Qlwnk0IrgpFCv8BuQhYDJ0I0p8xBQ+ZjQekT90DPbZBAg+5EQPx3G0DtkwZAzoP1P2Ah6D9pTeI/oBjjP5Np6j8a1fg/U+8HQNaTGUCSUjZAO3lsQCGSsEDxrxhBhpeNQR8C/0FsfFBCw0SVQgk5tkIhrrhC3KSbQoFnYUJaIRFCrTOsQcZ1RUHNM+hAU8+SQN89S0Cc+xhAO831P6ltzj/2WLI/7gydPxFXjD9WDH4/1LxoP1PDVz+7cko/uFlAPzE3OT8d9jQ/yrAzPz/gNT/p9zs/P89HP0EbXj+iJIY/tEG6Py0yF0BFy4VA37boQG3SOEHpo4BBs/yXQXEflEG0U29BrDwlQVz2yEDWnGBAA634P2pIlj+8qVE/93QkP2oiCj970O8+fRfUPp0Vvj5SNaw+P3KdPlgXkT6hn4Y+jVN7Pv3Waz5YWF4+XX9SPrYHSD7DuT4+82k2Pin0Lj4UOyg+hiYiPjyiHD6VnRc+igoTPkJiDz5OlAs+pBUIPu3hBD7T8gE+u4X+PT2a+T3dGvU9XwDxPUnZ5j2Og+M9KoLgPWHR3T27bds9aFTZPQ+D1z0D+NU9wLHUPXGv0z168NI9wXTSPYg80j2ASNI9zJnSPeEx0z3PEtQ9Cj/VPZK51j0Phtg9rajaPTMm3T1qBOA900njPf/95j23Kes9qNbvPY8Q9T025Po9eLAAPhlMBD5ETwg+dMUMPqS8ET6FRBc+DXAdPmlVJD7tDiw+TLw0PqpGSD63aFM+CAlgPmNrbj6M434+SO2IPr/pkz5guqA+PMuvPsiowT7YDNc+CPLwPktWCD+YDxw/Hwc1P8mPVT8ZQoE/9zykP0HP5D+UMjZAY7yiQGzRFUG6R4JBlo3KQZwcCEIEsxhCnZgLQjf800HubopBhL4gQbfKrkDNN0JAOyfxP0EjrD+vxIc/gO1hPyWIQT8vJik/cV8WP5HQBz+RIvk+zhHoPiGz2z7kuNM+bHHQPqah0z7lB+M+K9UGP0MqOT+ino8/2t/lP22ZLUBERWlAphmFQAC+eUAPoENAkXEFQDMmpj/EgUo/HJQEP39Qxj54Fqc+lASXPvxjjT7/AYc+bK2CPs+4fz5ogXw+VlF7PkToez6sHn4+5O+APv+Sgz5y/IY+XzaLPpt8kT5MkZc+qbyePgMnpz44BLE+TJe8PrM1yj7gTdo+O3HtPr8vAj+7DBA/Fv8gP6n4NT9gV1A/xTNyP3y1jz+pjLA/XxXoP25dK0Dsn5BAv3wDQYNSakGFfb5Bf2sHQh5MIkJtOh5C+5n8QaOgq0GY401BYfjkQJ0TgECPdR5AV93hP8mgsz/UJZg/9L6FP8g8cT9Jw18/nB5VP5/3UD//d1Q/Dn5kP32Nhz8PHbo/hnYSQDF+ckCm579AgSwIQYpOJUGtlCRBC3YGQS3vu0Bj+GpAg48LQMRwrD9M/3A/bRVBPzitKT+Iwxw/ih0VP8j3ED9+XQ8/S1kPPyZREj+RoRc/VJofP7vQKj8xhTo/JpVRPwnpdz9PE6E/BJzuP22FRECuRqVAgYgCQVgsN0FgS1pBs4tUQQbQKkHs8u1Av9eXQLRuQED4cwZAl7/cP8zszz8lH9U/HALmP19PAUA9bRhA0ZFBQBaNikCGr+NABONKQT0lskEqHw9CiAdJQgrMbEJ9emFCrdUvQtaP6kGuU4tBOvobQdPAs0B/nWhAw5YsQMQdDUB3HvQ/uBHbP7vpyj+NacI/V9HCP/Iv0j8EGwBAxhg1QHAljUCYFdxAJFEeQY9dRkHYsk1B04UuQaqI/EBjSKRAmDBOQC2HCkCb3dk/CcPGP3QOwT9IArg/beCnPzZFlj98PYg/Mx1/PyNOdz+PKnY/hTZ5P7MIfz/bhIM/OYiIP6SSjj+NtZU/lguePw26pz+98bI/CvC/P2UEzz/DqOA/ijT1P3K0BkBACxVAkzAmQG/mOkCINVRACIxzQLR9jUC32qZAFL7IQOG/+UAmnSVBSGl0QU6By0GbQjVC3F6eQnSN/UJ4yjFDRshRQzQlSkMvQyBD5gTZQpTMgkJOAhRCfXuqQbxyWUEq+B1Bky79QI0K10DRgr1AcwGsQBx9oECY6plAmM6XQPMgmkC7XaFAavCuQM6cxkCBVfJAHN8kQbIdfUHb49BBChcrQpGPgkKSebJCn5jUQnxV4EJxDt9CfCDTQrR9s0IK3oRCDQkvQvKY1EExnHtBa4IcQUlH2EBDcKVAYwWHQIg5ZEC86kRADHssQB/8GEAkNQlAyZf4PyZI4z+bmNE/bN/CP3Getj8Pd6w/9COkPw1ynT99Ppg/5HSUP2kNkj+oDZE/2ImRPzSnkz/qm5c/1MidP1Oopj9s87I/errDPzat2j8s7Po/JeAVQNJHQEB3eIpAEpriQP9fRkF/eKlB7awDQsNVMUI0mkRCVB4uQnTh/kHDIaJB8wM8QTc/1UBtZIFAvHwxQNGVB0AO1dw/Dgi6P3f/nz9ewYs/Ck93PzpDXT8W40c/My02P0FAJz+Glho/dsAPP6RpBj9Wn/w+JH3uPrQb4j48Odc+OKHNPhgpxT47r70+mBe3Pt9LsT7vaqs+KAinPq1Hoz69IqA+SZWdPm2emz6zQJo+FIKZPr5smT7mD5o+/4CbPqbdnT7gTaE+bwimPltYrD4J1rQ+HLG/PoPtzT47zeA+vIv6Pmx7ED94nS8/wU1rP5Gtsj/vhBRAqeZ3QJcZwEDsswJB97UTQeL3BUFN+slAOgeHQGOKLECG6uc/hIytP+ewiz8zzGc/j09GP4DlMT90KSk/MQYqP3H0Mj8uGkQ/UZpgP642iT8qCLo/MNEPQC1fdEDA4tBA1NMlQQ5XZ0E7MoZB3eR3QfvoOkG/ZvNA9POPQAGVJUBUMso/UeWKP+mdVD9/5S0/73ATP8Or/z7cbOE+po3JPs5ltj70zqY+CviZPqFIjz4RDYU+AfR6Pj8Qbj5kC2M+ipZZPmhzUT4WcUo+jWdEPoA2Pz4lxDo+JBQ3PsXiMz79OjE+GBEvPpRbLT4PEyw+fzErPmayKj4/Nis+iXQrPuwOLD6zfyw++9AtPpSELz4xmjE+HCI0PvoINz6gYTo+oTM+PoCIQj6DZkc+u+RMPuMNUz7G9Fk++65hPgRXaj7IDHQ+wfV+PqSghT4Dlow+8oSUPnaznT4Yo6g+aji2PoS6xz7NUN4+4Oz5Pmn8Cz9Vfhk/k0EkP1c3Lz9S7z0/iZ9SP+23bj/H44k/QDGiP9itwj9OmvA/j48cQE/vXkBJFbJAXzYaQchjhUGd0tVBQXsWQrqYL0KeEyJCqBzzQUpjnUFoQzlBtgTUQFpqgEAFAC5A6qMCQJ8H0T/JL60/8bOSP5PPfD8ICl0/w8dDP1hxLz8E5x4/XFYRPxkpBj+4xfk+eGDqPgGc3T7tEdM+HXLKPhZ/wz5uCr4+XOq5PmZAtT6Dn7M+mCizPk3bsz7/ALQ+OCm3PpOruz70rME+cl/JPlQH0z4kAN8+AcPtPmb0/z4sOgs/tjoZP6DUKj+TQUE/IF9eP6e4gj+dvp4/qv3LP2/QD0CsI2JAtzK+QNxTHkFkyHNBtnGkQZMMuEH0mqlBfJGHQc4OQUEoivpArbSbQHvNRECUlQVA4MPHP4+coj/Blow/5Wh8P6x8aT+z6l0/n/5YP13TWz/uJGo/yUeFPxX0oT9qBMs/6of5Px+YDUAiwxJAdOsYQLixM0ASgG9ABbekQFx80kCmwuRAPTfNQIOGokBaT3tAID9SQPYeTkAumnFAgb+kQPrX90DEYUBBKPGQQVHRyUGWBv9BjJsUQma7HkKbZh1CGy0TQg3f9kFIN7RBs6xsQZaoEkFa57VABF9wQFY+LkAciQhAnITgP5fVvT+BiKM/pPaOP0gffT/UpGI/EetMPzz1Oj+K/Ss/SnEfP/PfFD9S8ws/XWkEP7Eb/D74b/E+ypDoPn9M4T5sfds+VgjXPjba0z4t6NE+RC/RPmG00T6WTdM+t4HWPsRH2z7d4+E+d8jqPjyW9j6x/QI/lLgMP/hhGD+lhiU/zXQ0P6ogRz+xFmA/dUSBPy41mj9xHsI/P3oFQDtwTEAa1qhAlVMLQbKoVUEkSo9B5s2cQdOFh0EXk0NBIBn+QPmCoUCd32NAEY9LQJfIaUA0NplAtqzHQGkW50DjudpAcUqrQBO9bkC/Mh9ArDTbP1q+pT+6/Yo/ZAd7P4r/bD+MO2Y/dIhkP8UCZz/GU20/oXh3PyPagj/xR4w/UXWYP1sMqD/hE7w/nEfWPyEi+j9WtxdA1GlDQNlnh0DjM8ZAbx8SQUWCTkFyZ4ZB1IahQWGgxEFbZgBCKp0oQp2MRkJh/T1CzaUTQibcx0GBqnxBc1siQcCP6kDkucxAqUHdQLFaEUFEwFZBoVegQR8f3UFRtAFC/Mr0QUBGwEGFgIVBEu4qQfqM1UDIm4pAkrJCQEtUFEDT4+8/1lfJP9MCrT+fKZc/g9WFP6yrbz+7uVg/UbNFP8DHNT8SWyg/SvgcP1FHEz92Aws/xTYEP5x1/D6aXfI+8/TpPqTh4T67etw+Y3jYPoHV1T4ol9Q+5szUPh2T1j7cLNo+d6vfPnqB5z7NL/I+SjkAPzHACT9snxY/egwpP1LwRT/xMnc/BiqmP1Zf6j8UVCRAk3xXQPSYeEC8x3xAxIyBQBgJnECoqt5AX+omQbjUaUFkP4tBnT6DQWNQSEGtAgZByBGqQC8HY0BEFDFA0JEhQOFdGED4WANAmDrNP+E6mT8xCWY/73A0P4jMFT+VQAI/SXLpPs9A1T5fiMU+jhi5PhpCrz4kk6c+AsGhPkOenT7OFJs+OCWaPvznmj7/kZ0+KX6iPtg9qj6OvrU+ALjGPq+q4D7QKAY/euMuP2GffT+PQsY/l2kbQHdGY0AtYZBAsm6TQNO4b0Ct5iZAoQzWP+Sthz/o8TY/KsoIPy6V4D7zbsM+H0+wPjUOoz4t0Zk++p2TPtrnjz7hZ44+8A+PPp8Pkj4E95c+ZjKiPv/MtD4dWtc+nQgNPxdAST8NzZM/RrDPPzMdAUCOAANAErDXP7jimz8zn1Y/nbkXP3TD6T6IpcY+nSm1PhckrD6mgac+OJWlPoidpT7vNKc+pkGqPrRgrj6so7M+Fgi6Ph+XwT4oZMo+44vUPtxs4D5O0e0+pmD9PjaRBz8o6BE/4SgeP44SLT/pwT8/LnhXPzT7dD84mos/jC6dP4rwrT/SgsA/YRHZPwU8+z8yvxVAwRk5QG1lcEA7CqZAUvHzQLb0OkEDNJBBKfLVQfOpFEKfhj5CSkRSQhsROkJ9/wdCQ6KwQROhWEGaCgZBby+yQNE6gkA7rE1AySMrQEdbFECEkwZAqRQCQKMGCUA0qR1A6tQ+QNLAYUCsbXFA+O1lQKkvRkBwXhxACbrtPwrSuD+0tpg/7VWHP+4Yfj+GAXg/BOt4PwGNfz8t8YU/BkaPPx+anD9YC68/uP/IP5jy7j/cuhVAU3NLQHHml0CU1fFAKE5AQYMDj0El/rlBHUTDQejHokEN8WlBoOwgQW6G8EBhtNpAQU/rQMosAEFK7PJAlLTBQPGsikD3BD9AUYgGQEDPyj/pMKU/jbGOP+0BgD8UsWs/PRVdP5bYUj/jG0w/MlZIPzs3Rz8amEg/lHVMP4rtUj8SQVw/EdtoP8NXeT+/UYc/E/uUPwaVpj8ke70/jsnbP3ebAkB0siBA3whRQFCTk0BFSuNAz3w3QW6AkUFK5tRBQgUGQqA3BkJtz9VBppuSQTjqOUGoquhA79GZQH0MYEAzCDNA/CMZQB67CUDWXgFAjLn9Py9eAkCgxQ1AAKYmQIRZWUBmkZ1A+3jyQGhJOEEx/YBBg2GZQb5CkEEIX1xBZoYUQWUTvUAJm3JADKAmQM4F+z8XZ8w/z8evP2henT9aVJE/6W+IP2D8fj9zNWw/vSpcP7PJUD97MEo/RuBHP29+ST/Yc08//JRbP4CJcj891Y0/uJ2vP7fj3z9IQgtAGDkdQLA0GUCNqgdAMsbvP0R64T9u1ec/36wCQEWGIUCKdlpA84+dQPIN5kBs4R9BwwZFQWSXSkGpuzZBG2MpQXQIOkGNsHNBpZSpQYAI3UHfGfFBJq/QQd61l0GS2EhBy0UBQabgrEC8j3xAzTZLQL2JMEBNaSJAktQcQETNHkB6gilAg4NBQPLgcUCKy6dAQ9v7QA4+QEHKY4tBHWuyQVgduUH9+ZhBwFtZQV3SD0GvUb5AnOGHQNdOXkC68FRAbddqQE9njUBzl6tAZau+QBqtuEBz7adAa1ufQOhtoEBFRpxAqN6GQPSZU0BNDSJA1XMAQAqJ2j8jkcg/lHDDP7uwxj8Os9A/JKvhP3S6+z9xlxFAG28wQFjbYkAUjptAO5rfQKAjIkFjEGRBPs6TQfripEFPMJ9BwQWXQX8gnUHIfbBBhbe/Qf0rvkFp57ZBGp+uQUiwmEGdQ2lB6qgiQaBH20AFG5ZA9CxZQNdnKEDvXgpAsZTsPxHMzz9XWLo/MhuqPyTQnT9mpJQ/9QuOP+uriT9CUIc/rOWGP3V/iD+YZ4w/wziTP80Nnj9jRK4/xBHFP0114j9coQFA2QMSQH+OJkDXLkpAs1mGQGO0wUBK9hBBxflUQUG1kEEmdapBSj2tQaAopUF9pJdB8e17QVrOO0GipQVB6UDCQEyRmUBTtIpAIq6SQM4/tUAWTPtA2qM1QekWfUFwH5xBB0GcQUZDfEHckzFBCYHqQB0WmkAtwVRACQgfQJgMAEC4nNk//QvAP1u3rj+0gKM/OoWdP7bVnD+o3qI/Cm2zP6O51T865glArPI6QCPje0Ac8pxAuv+mQJvwlkB6XoFAib5xQNSvhkDFTq5A75rrQOjGFEERjR5BoA8JQUACzUCndpFATcRWQGx6NkAvrjxAxaNiQJ8RjkCIJqVASIagQGRygUBkuDpADT4BQF92tT8aiYY/nUlWPxfPND9Bjx4/yJgOP8edAj9h2fI+V7LkPqXn2T786dE+0mnMPhsfyT52DMg+/1fJPs5ezT5oDdU+XT7iPnF9+D46bg4/qWUqP1LtUD8Mnnw/EzaPPzawlT/+f5c/LzOiPw9fxD+BtgZAk+lFQN+dkEBt3cNAzvrhQHJe0EC4PZ9A8kFbQBELEUDD7sI/wWaLPyq1Vz8GjDI/QzsbPwYyDD8zoAI/nYb6PqUF8z4psOg+88baPkWvzT5BDcQ+sT6+Prqauz4osrs+zN+9PqngwT5kpsc+v0bPPq/y2D529eQ+V7rzPp/oAj8vEQ4/bMEbP/THLD/lO0I/JcxdP7EmgT84iJo/8TLAP81H+z8UGC1AuNV3QDZbs0BMPvxABqglQYAHTEG2pW9B5Z98QcayXUGb2CVBYVXjQIpWl0Ca8U1ADTgVQBag6T8hpMM/NoqsP1+Znj8dKZg/XT6ZP31RpD+Oab4/RS3uP1YlHED4tEtAViB2QB04f0C/omNAzLFAQPcDLUAP3jFAIDBSQK/xhUApN6lATw7EQAlXzkD98NlA2nL6QMC/F0G9CC5BhecoQfCWCEEur8VAZm+JQMTVQkAqrBRAVj/9Pzpt9D85CQZArCEkQNjoVUB6dYpANkyjQGdAoUA3N4VAsgRHQI7cEECc2dk/MbewPwI3nT/9yZg/vMKhPxjRuz/OOu8/tMciQJYWYUA/hJRAQJWsQG/2pED24YRA8VlEQPQlD0BYbto/1sG1PxYEpz8EhKg/Miu6Pw6Q4T/z9BNA3WBKQPbOiEDDy6pAQPG1QF40okBtToNAKmBXQGQ4REAXgE5AHLpvQJ8ei0Cy6pFA9sKGQCj7bEC6jltA6TNnQLPcjUBYN8NALkMMQdpVREGJI3lBcu6DQcOaYkGc4SdBYzvnQEh5nEANjVpAVmwjQN00BEA0heU/ymLTPzJSzj9GqNc/j2j1P9vlGEBv9EtAideKQA9ltUBFB9JA9m7JQON9o0C84XNA1uEzQP2IC0Dufu8/8eTpP7J6AkA+1CJA5PxYQG1AkUBkxLVAWD/DQL3srEBXJYVAJZRAQO+tCkAUPtA/s52nP2rakD9tYoQ/z+Z7Pzzrdj+aA3g/5oN+P7AuhT8kAI4/ehSaPzxdqj9X6r8/dHvcP5JwAUDsERxArHNDQPoogUCTyrVAzGkGQbiiSUGR4ZJBxZLFQU595EGEh9ZBiU6oQZM6bkGawSFBSiPeQPbfokDRRYVADd53QIgZgUAltI9AwyeeQEgVn0BI5ZFAzMSBQLgKZUCjO0NA6UQfQO1s+z9NEsQ/JSGbP+xkfT9GtFY/oAM8P5vtKD/Cuxo/AeMPP1SVBz91UgE/zt35Pp/j9D7BbfQ+3fb5Pr/lBD+kghQ/Xb4uP9ZsVT+ULYI/dSCVPy4zlj+XBYU/X+tdPyFWOj/dASQ/N50ZP40QGD96/xw/VFUoP7v1Oz+BU10/H/WKPzjUuj8jOgRAHxQ+QBu1hEAvRapAX6G6QE7+p0Dj24FApFY5QOfmAEAOirY/4TKIPy0nWT90uDc/Vp8iP/j0FD8ddgw/ODcIPzvQBz/c+Qo/tMEQP93AFj+bqxk/Q/8ZP6dTGz/OFCA/dk0pP3qlNz+DAUw/zLFoP5UAiT/kVqg/GwHaPz6WFECIBlFAJc6SQImBxUCukPBATRD7QHL55ECNBctAg+LDQLgM2EAUpgJBL0QdQdgXKUFzghhB3aHtQGzDqkD2NW5AJtQnQCnV9j8/rMA/L2qfPyFmij9Y+Xk/3NxpP7M9Yz8vkGg/1gx/P7Rflj8bnLo/207pPy/FCUDelQ5Amtz7P/+Kxz/saZc/xrpmP+pkNj+JEBg/XXoFP4DK8z7f1OQ+//naPrui1D7I+NA+zoLPPsDQzz4IDdI+F/7VPgOn2z44HOM+s4PsPvEW+D54EwM/Q48LPw3IFT+jHyI/xRsxP8R5Qz/3V1o/s4B3P6YDjz82iKk/PELPPzO9AkCzCilAkuVcQE3QjkD7qrJAUSvaQEouCEEqZTBBmLNjQR3TiEFUko9BDMSAQYT3S0GNtxdBuifiQBPFtEDNR6RAAHGrQFL9wkANOd1AinfjQAzZyUD/pJ9AqtpuQEwUMUD4AgdACg/aP638vT/t3bM/VpG4P1zwyT8thOM/zGL4P02F9T/GDdg/zkKxP+QJjz8TYms/O59JPw/4ND/ueik/E1AkP7sNJD96pyg/6HgzP+B8Rz9vQ2k/vwaPP6WitD+hd+M/NQkIQHiyEUBUnwhArDLrP4Aexz9lea4/1NWiP48foz8uSa4/TgDFPzE76z9S6hRAiddHQEomjEDj5cdAbBUMQfRUOUHpw1tBUdFeQYA3QEFsJxNB7NXSQPY+k0DBUk9AJTUXQAzX5z92p7o/VEycP1zNhj8N+G0/Jk5WP5KsRD800Dc/dKsuP6AEKD9qlyI/KiUeP4xdGz8wyBo/LNAcPxggIj+vwCs/nIo7P+UGVT8GgX4/7NOgP4NI1T/m5hBA/ChDQMzGeUCCaI9AS36MQMwUbUDonDZAhZ8HQFo8yj9aR5w/0VN/P6AYXT+TDUk/4a49P/T7Nz/bczY/TGI4P4CCPT9I1kU/T5tRPy9MYT8GrnU/bfaHPxrqmD+TI68/jxPNP+Ef9z9FlBpAkS9KQLwBikAytcFA82AIQehpO0FhrXJBTZuMQevZikGRy2pBqGczQda0AkGFSL1A85uNQNEbY0AtkEhALYRFQIzlV0CzvX9AWaSdQGH/v0DcrdlA1oHbQE5tw0DscZ1AWyFvQIoIMkCsFQZACBvRP4/fqj8dT5I/0lSCPyCubz+XS2I/QdxaPzq3WD8u+Vs/H5FlP2C+dz/DfYs/rJWlPywW0D8cLAlAEms5QHsfeUBqLaBApFO7QK5HvUAGa6RAdaWAQOXvPkBDjwtAVB/PP5HUnz/p3oE/bQ1eP+YgRj8G3TY/MxstPx1CJj9G2x8/D/sYP5WqEj89Cg4/gYMLP/MXCz/8qww/xyoQP+aZFT/jJB0/bignPwhIND99oUU/ejJdP2STfj8d7Zc/ABq9P22e9D9oBiJAWrJWQJMNikDIQKVA7qWvQLO6o0C1+YtAO4hqQHc9TEA600FAWmBNQK+JcEDxMpZAzHe/QO5W7kD0MApBvNsQQSPGDEEmvgdBf8cJQfx5FUE63CZBWA8yQSEQKkFUEBBB5CHhQOZ5qUDyWX5ATx1EQOyiH0AntQtAgTcEQKplBkDNAhBA4ZsdQHTFKEDvaytAEjkoQO7DKEBEvjRA5iFPQO57dUBzNY5AjvuWQEgkjUBq+WtAhqE4QL61DECSH9c/qryoP43AiT9O2mo/7tpPP5ZZPT9vPTA/McgmPyP/Hz9IUBs/YWAYP+r1Fj9q5xY/DzEYPxzKGj9Yvh4/eygkP60yKz/AFzQ/pSQ/PzK5TD80SV0/RmZxP0cFhT/od5Q/n2+oP5g3wz+hw+g/dNAPQO3uOEDSU3ZAvIWnQO7v40CKbRdBd20+QZjCWUFzbFxBTWJJQX0xLkEqxRJB72LyQDNox0ATl6hAZj2VQFJOiUBhSIFA5rp2QOHUaUDhIldA/SVBQHc2LUCHbxxA7akMQNJx+j96l98/Gn7LP8aZvj9sULg/Rt23P5q2vD+NzMY/7szWP+qH7j8exghAwvYiQMBLSkATOoJAcourQLen4kCBohJBTiI0QdsYSkHqKEpBzJg4QRyAI0ETWhVB1jUSQQTQGUH/pilBuPk+QXQeVkHBWmdBW7NmQYH1TkHouClBN+8DQXjByECNSZlAEupvQDtbQ0BNlyZAI4AUQC+mCUC9GARA9BMDQNXGBkD9OhBAHEUhQApQPEDx3WNAUbqMQFbIrUCay9BAKA/tQHuP/ECoqgJBGZYJQZPNFUFsYiVBpmwzQSMwOkGWMDRBoZkgQaUPBkGPmNhAUeOuQLhwkUAmxX9AoE5xQC3tc0DfCIJA5+iOQLg9n0B/B7VAmPbVQO7GA0EkvyVBJf9NQQHlckG0HYJBOAp3QUk0UkGo9iVBrFf7QGYuu0Ax/ItATBhWQHZ4KUDsZAtA1HntPy420D8s2bo/LQSrP2Bjnz+MPZc/2DySP/ZekD9MApI/2AiYP/MHpD+JcLg/xZvYP9QqBED2RyVAfXVPQAiBfkADaZNAP4mbQHqxk0DO6YFAZqxeQOojQ0CYETVAIZwzQPLcOUA2hD5A15I3QLErI0CGTghA0YTcP1QDsT/EmI8/RaBuP+OKTD+N/TQ/4akkP08uGT8KBRE/yTYLP885Bz+xqgQ/40IDP37LAj+pTwM//eAEP9CeBz+6qAs/GyURP3xHGD8iWSE/GLwsP80EOz9NEk0/P0hkP5x4gT/saJY/Pe+zP4RZ3j/kow1AG4M4QJOIckAHRJ5AjCnJQFT/8kAJSQhB1nENQebMCkGZugNBjO/xQMB100Ap365AzeuKQI7bWEAYmylApxoHQGMd3j+P/70/pLWpP6xYnj9YaZo/5MudP2qtqT/4MMA/vQLkPzSwC0AlSS1A1H9UQCwrekDTjYhAPdSGQCYickAORExAIzYoQLYSDEB/5fM/3AHkPy775j8I/Pk/KwoMQC8IHECSyiVA/nAjQFd2FkAaEAZAQIXxP2QE5D+O+uU/W4z2P8qfCEBiEBZA5i0cQB/dFUCafgVAtJvjP3K/vz/jNaM/cWuNP9MTdz9NlVY/D9A4PzQuHz/XXwo/zkf0Ph+s2z5SYsk+bSK8Ps+3sj5yL6w+LgioPrjzpT6h4qU+agaoPi/prD4uW7U+iL/CPuDd1j7TtPM+BogNP4naJj9I40Q/zS5kPw6ifT95uYQ/bZqDP8zpfz/XaX4/ASKFPzinkz98DKs/qFzJP5Lm6D/mAP8/ijYAQK5z6z/EkMk/srilP388hj8qy1o/gL42PyDXHj9mFxE/GK0LP3g2DT8CqhQ/7OIgP4QJMD/tcD4/16FGPzfsRD/fKzs/5cEuP7YxJD9/6h0/zyAdP7m8Ij+7ADA/DPtGP2+8aj/jp48/GGy0PyQu5T/L3hBAmgUzQPdxU0D8SGhAD1poQDbhU0A9RDRAFkYTQIyu7D8px74/U/WcPwSrhT8Gnm0/VsxcP0/kVT98Olc/u3lgPwiBcj/MkYc/HGKcP4nVuD9kk90/KPwEQKhYHUBJHzRAH31EQBbqTEA7PFJAb05cQAZrcUC9ZopAzyKjQDFgwEA2LtxAVy3uQHZr8EDJ/OJAnyzKQHwqrEDtBI9AgyVtQEAfSEDY0y1AtlUbQF1+DUCw+wFAih/vP+9r2z8I8cg/8R+5P6kErj8Rcak/w/asPyokuj/mf9I/c0b3PxFTFECkIjJAyrxRQK8dbUBk0nxA2CR7QPooaECYr0pAt14rQIQnEEB2l/c/0xjePxMi0z/ck9Q/CtTeP+Ub7D8zSPQ/SfPvP68G3j/9GsQ/7fGoP32/kD/Peno/e3BdP/ibST+Ysz0/CXE4P0jmOD+huz4/fFhKP6ULXT/7OHk/ajiRP8G0rj+Jvtc/IWQHQAmVKkBECFVAuj6CQMqdmUBhOatAgIywQHLjpkD8LJJAvGpyQG1BQkDT2BhAj1vvPxvVvD/NwJc/zVx6P46iVD+AqTk/1v8lP2lLFz+fBww/VUADP2W7+D7j+O0+9LTlPheU3z43Vts+eM/YPmPk1z5Sh9g+vLfaPmCC3j5YAuQ+w2TrPjLv9D60hAA/1CoIP7roET9VhR4/ijEvP6OsRT9lU2Q/kAuHP+8Xoz8kt8c/s9n1P1Z3FkDP1zRA4B5SQAnSZ0BKzG9ASn5pQC/uWkAd50tA+gZCQL06QED7b0dAL9lWQEz1a0CfbYFAgieLQGjej0Aa44xARoeCQE48aEC250pAKDUyQODUIEAZHxhA0dsYQE2gI0Cu4jhAt8ZYQD9XgUA3IppAHPazQI/DyUAOfNVAYxfUQGkxyEBFL7dA0u2kQHamkkA0jIBAv+JeQCR+QUDuJitAGvocQFFgF0AWfxpAH1smQCmwOkBOk1ZAG7Z3QHGnjECWxJlAEAGfQA3AmkCNV49AauOAQMCAZUCqAE5AkpY9QK0oNUCOQDRArv44QHFFQEDS1UZAIEtLQOSfTkDfHVJASBFVQOhaVEChhExAaAA9QIbUKEAQEhRAHJgBQCmc5T9YWtA/34bDP9sOvz8qD8M/3/zPP2Gz5j8MMgRA/S0bQIPGOEBs41xAwSCDQMwcmUBK3a5A7YXDQLSH1kBSxOVAoajsQA+o5kDpc9NAv7O3QPhomUAPtnlAkVJIQB7xH0BTQABAc0rQP5JorD+I/ZE/gxN9PwoZYD8aHUo/1Bc5P+WtKz8T+CA/3VQYP1lKET/tcws/8oAGP/RlAj+vNv4+smH5Pqlj9j6RTfU+2DL2Plgx+T7kev4+7CIDP0amCD9nIRA/YDMaPxvIJz/uLDo/CB5TP7q0dD84oZA/xHetPxye0T83Lv0/T4wXQJ8XMkCl5UpAj+VcQNIsY0Djb1xAyUVMQGOAOEA9JSZACXgYQE5nEUBPERJAVwwbQGp6LEDM50VAvPZlQDjbhEB38pVAUbqiQLxWqECOfaZABkOfQPTjlEDAUIhAElpzQDMfU0AomzJA040UQP0s9T8EZMo/+1CoP8vdjT+dfnM/MmxVP7FMPz+TWy8/P1EkP3ljHT8wPxo/Sf8aP08eID+hYyo/rsM6PzowUj8IWHE/fCCMPwjjoj8FV7s/+kjSPyPX4j/6+ec/r5zfP4lCzD8BDLM/c6+YP00ogD+Xz1U/UsMyP1j3Fj+rkgE/TvLiPvMMyz5sbbk+BHOsPgjuoj5tDpw+RlWXPsOAlD5se5M+byqUPrbslj5Tu5s+uaeiPoymqz4YbLY+IWTCPnJmzj6BD9k+UpjhPqXC6D5qwvA+3zz8Pr2oBj8kpRI/xEEiP38PNT9fx0k/8QxeP1Hybj+hf3o/qZuAP+PNgj+BFIU/Ds6HPxEyij9cl4o/JWiHP6FRgD88E20/AdRXPy78Qz+IbTM/3R4nP+GBHz8/2Rw/7m8fP83CJz/mnTY/9yFNPyW6bD/rdIs/+36mP9fQxz/6LO8/IqoNQBG5JEA/JjpAqihKQAwCUUCTUU1A7CpBQC7KMED1TiBATpMSQO4iCUBSigRAw4wEQFguCEAbmA1ARCESQF3gEkAk+g1AbqcDQPzH6z9B8s0/ukOxP3i4lz+5NII/k+FhP3+PRz8lwzQ/JLMoP++nIj85FCI//5gmP6D0Lz8m5j0/Lf9PP2liZT/WaXw/TCaJP5OdkT9UyZU///yUP7g7kD/Up4k/+3uDP5rnfj+XeH0/TxKCP2HdiT/4MZY/AdGmPy/vuj/u/NA/s3DmP63/9z+dawFADysDQM1LAkCTiwBAPfD+P3MKAEBsuwJAKJYHQB1cDkAYwRZAj9AgQHccLUDOWDxAUbJOQHg7Y0BRh3dAucyDQONvh0DJLIVA5IZ6QAEMY0CXfUhAs5EuQD+TF0BfpgRAnUXsP+yk1z+fIMo/VKrBPzSPuz8v/7Q/4++rP/bbnz+UtJE/LfiCPzriaT9v31A/I8M7P6zqKj+nbx4/sU8WP5yJEj9cLBM/+mAYP49lIj+8fDE/WNJFP1pNXz97XX0/alCPP8c3oD9KPa8/rpC5P5agvD/Pd7c/SlyrP438mj9kFIk/skhvP2W1Tz/gmTQ/2lAeP/+6DD9O4f4+gM3rPn8U3z6gqtc+1LHUPtiH1T42vNk+Y0fhPkZV7D7Ahfs+Ue4HP3NJFT8NbyY/Md07P/rXVT8KQXQ/ziaLPx0inT8Xq64/sh2+P3M+yj/l29I/6J/YPxQ33D+3nt0/aEncPwr81z/gktE/0ejKPxwIxj/cc8Q/+93GP1MdzT+pJdY/KfDfP0WV5z+o8Ok/7enkPyWL2D/b1sY/DI+yP1Abnj/mFYs/pcp0P+7kWD8IsEI/3AUyP+iYJj/YEyA/bzweP30IIT8hqig/jpE1P9hdSD9FymE/IUSBP6GIlT9ota0/hGzJP2Wt5z9rSgNAGo0RQNSfHEDciiJA/CsiQCO+G0DbrBBAWOgCQCOO6D+2X8w/mxSzP9ennT+hfYw/Lzt/P6WEbT9BBmM/RrRePwVbXz9YmmM/WAhqP0w/cT8zSXg/M+F+P8a6gj+FdoY/9jqLPwe6kT+5v5o/rCSnP/yytz/zCM0/MXPnP/1pA0B2RhVAJs8oQJx7PUDh1FJAKUJoQFKqfEA9F4dAlDuNQBXEj0BqQY5ANN+IQD8zgED9NWpA4UtRQGHRN0Dfkx9AN80JQEZQ7j8q1c8/gzO4P3gspz88XZw/Q1SXP0+clz8Rupw/SCOmP7cpsz8q2sI/ANPTP3Qc5D88PPE/c534P0Vg+D+kEPA/eNngP2P+zD/697Y/89GgP6Pwiz9KRHI/2IlRP1LfNT8jCh8/LZYMP5re+z4E5+Q+uhnTPk1SxT5/lLo+ZgGyPljbqj5/i6Q+7q2ePlsWmT6DxZM+sM6OPqdIij5WP4Y+KLaCPvZRfz6KIHo+gcV1Pu8wcj4JVm8+BSptPqiiaz5Ptmo+yVtqPkmLaj6gPms+j3FsPmAhbj46TXA+RPVyPpgbdj6yw3k+YfJ9PiZXgT70/4M+PviGPjNGij7x8I0+9ACSPjaAlj7keps+hP6gPkocpz7R6K0+XX21Ptb5vT6Oh8c+v1jSPpq43j5XBO0+oLv9Pk3ECD//pBQ/Hw8jP6ywND8IXEo/9ABlP0HSgj/qqJY/TYKuP5q9yj+Sjes/B24IQK0OHUBEETNA2nFJQOmuXkCM+HBAI5x+QMNUg0Cvs4RAFhyEQGp9gkCTqIBAISd+QFyIe0B2rnhAs0h0QDEEbUAUMWJAkhxUQE/mQ0A3/DJAqKUiQALRE0CLGwdAjcX5P0HC6j/afeE/zTzeP2BH4T9J8Oo/HJf7P1zRCUDmuhlAt64tQHi8RUD9wWFAY6uAQAfPkUD6i6NAE720QPvdw0AqSc9AP7DVQAyl1kCXytJAaJDLQKOlwkDkeblAqACxQEGfqUDvQ6NAxYKdQKO3l0DGLpFAcFuJQEEKgEA67WpAg1ZUQBKRPUABqydAQ2ETQIwbAUDbC+I/zUTGPyqurj/m8Jo/DaCKP2ORej9h6WQ/Y2xTP1ZWRT+x/zk/dt4wP8WGKT8kpCM/DfgePyRVGz+Bmxg/WLUWP3GSFT9+MBU/CYoVP6qgFj/3eRg/+h8bPzihHj/KEiM/hpEoP2ZELz82YDc/JS1BP28PTT+AjVs/pFRtP0GpgT94Q48//AegP2GStD+/b80/aCDrP0z/BkBNFBtArrExQLR9SkBhy2RAaJh/QKTDjEDcdphA4/ehQNhZqEDM3qpArDmpQF24o0CjOJtA2OaQQCzxhUD4pXZAuIpjQOV8U0Cu/kZAHzs+QB8WOUBFOzdAIDE4QC5vO0DEb0BAI65GQHiRTUCAVFRASABaQOGSXUARRV5A2M5bQK2DVkBUN09A2vhGQOTPPkAKkDdATsMxQPalLUCdKStA3/gpQKV/KUD3/yhANL0nQOg2JUDIWCFAVIEcQPVdF0AvsxJAPTQPQIxvDUC/zQ1ATpIQQCDfFUDMtB1AnO0nQDc1NECt/EFAN3JQQMGAXkDU9WpA7r90QFg9e0CgZn5Au7J+QNPFfEBGHnlAvOhzQFMIbUCSQmRAyXZZQOXGTEBFpj5AQL8vQFjNIED7dhJAiDkFQBzM8j+TWN4/jUHNP2yTvz/GS7U/mmWuP7Lhqj8pzqo/yUquP6WLtT8O1cA/oYbQP3H+5D+Kn/4/+dwOQERCIUCugTZAenhOQOnPaECjdYJAyuSQQGr+nkD80KtA30W2QFhSvUDpOcBAD8O+QP0/uUDYZbBAQRSlQJgqmECUc4pAxTl5QM1sXkDtU0VACH8uQGxAGkCauQhAv87zP+Zi2z/t3cc/I+S4P84Zrj9KK6c/TdGjP8/Soz99Aqc/jTutP+hbtj//O8I/d6bQP8pI4T+xq/M/A5EDQOFfDUADrRZAYsweQEAOJUD/1ihAYLwpQPuZJ0DomyJAczcbQGAREkAM4AdAn5b6P/e85T92/9E/D+2/P5fbrz8V/qE/y2OWP00KjT9j44U/ZtuAP9e9ez/twHk/aa97P/HNgD8h0oU/FAGNP7OBlj9AgqI/1zOxP+DEwj9TWtc/DQfvP4DhBEDUsBNA1sQjQBjXNEDBhUZAdk9YQNeQaUCTh3lAXqyDQK0kiUDK8YxAzxOPQGnGj0Cxa49ArW2OQO8kjUBpzotAr46KQEB8iUBfp4hArBuIQLXch0D344dASCWIQHaZiEAaRYlAijiKQJuEi0BFK41A8BKPQCkCkUD3pZJA+6GTQDyjk0AydJJA8PqPQKQ0jEC0LIdAJvmAQN+Ec0CjhmNAVpJSQNNUQUC8cDBA/W0gQGqxEUCafQRArvDxPzpi3j+PTc4/BJjBP6UUuD8PiLE/XaqtP6knrD94oKw/FKyuP4resT/t0LU/AS+6P/q7vj8sT8M/F8PHP4nuyz9lhc8/2iLSP8xO0z97j9I/ipXPP/g6yj+Nn8I/nx+5P0w+rj/GiaI/b4SWP56Yij/8LH4/aW5oP6RCVD9y10E/+0cxP4uVIj+gsRU/ZIYKP3zwAD/4h/E+M8bjPlNA2D6bqM4+e7XGPi8ywD6Y4ro+jpi2PmEusz5ghrA+m4quPkAsrT7PYqw+WyusPgOIrD6kf60+bR6vPgh2sT69nrQ+jLi4Pi/svT6PbMQ+wXjMPm1Y1j4aYuI+yvbwPpNAAT9YuQs/ESIYP6WwJj9Pmzc/4wxLP64jYT908Xk/trKKP1GomT9ArKk/inW6P4yZyz/ah9w/QIfsP3bR+j9TSANAXYgHQKPtCUBiZQpAUgQJQGn8BUDWkQFAfR34P/R+6z8Y390/Zs3PP9zHwT82OLQ/0munP2aOmz+ws5A/p9uGP2T1ez8TA2w/2MZdP6gxUT8SQUY/Jvk8P0NiNT9Ahi8/8mwrPwwlKT/otig/Xy0qPz+TLT8N8zI/5VI6P3i2Qz+9Gk8/ynNcPwGqaz9ImHw/GX+HPzE+kT83WZs/f32lP9FNrz8oZLg/ZGDAP5z7xj/uGsw/m9jPP9J+0j9GdtQ/ZS/WPw8O2D+OW9o/Lz/dP9i64D/pqeQ/XcLoP9+W7D+Nou8/2F3xP21R8T+GNe8/lwLrPwX25D/pgN0/ZjLVP+afzD+9VMQ/Scq8P5Nmtj9RfrE/UliuPzgurT/ANq4/u5qxP9p9tz9U/L8/FyvLP7cW2T8kwuk/8SP9P6iSCUCCyBVAyw4jQH8tMUD61j9At6VOQLMeXUBkr2pAhcR2QDJpgEDoM4RAtpyGQFOVh0CNI4dAFmGFQNV3gkCSQn1A5Dt0QBJkakBjPWBAQzlWQGmxTEBx5ENA7fQ7QP/sNEC0uy5ADz0pQIQ4JECFah9AP40aQMpjFUAcxA9AW6AJQHQCA0CGEvg/Hb7pP8Nh2z/XUM0/1tC/P4UXsz+/S6c/NYicP4Tekj9IWoo/kwODPzTBeT8A7W8/DpNoP525Yz8YZGE/z5JhP/tBZD+NaWk/cfxwP/zmej+dhoM/0qOKP+ywkj+BiZs/T/6kP9PSrj+avLg/VmTCP6Bpyz/BadM/lwfaP7363j86DuI/DC7jP7Nc4j9zsd8/e0/bPy5g1T/JEc4/eJjFP0YvvD9oHLI/qqanPwQVnT8aqJI/qZaIPwQVfj/yRmw/uvJbP4osTT+9/j8/Rmk0P3JkKj+K4yE/I9caP8EuFT+O2hA/kswNP+b5Cz91Wws/qe4LP621DT+YtxA/JwAVP2afGj/TqSE/jjMqP8hUND+YJEA/T7hNP9chXT+NbW4/QdCAPyBbiz8cz5Y/NR6jP2UssD9S170/0u3LP4Uv2j/2S+g/HeT1P8JHAUAv8wZAE8gLQA2qD0BykxJAupgUQIHkFUAUuBZAv1kXQOYRGECIIhlAZsQaQFwiHUDsWSBAc3okQNOEKUDuai9A+g42QJdDPUAOyERAO09MQIF/U0A4+llAiGRfQGRxY0CY6WVAMq9mQM67ZUCmGmNAoOFeQEwrWUAPGVJAys9JQAF9QECsVzZAs50rQGSQIECUbxVAX3UKQBOm/z/xX+s/c1PYPy6qxj9TfLY/ydunPy3Kmj+TQ48/Hj6FPwpXeT+W9Go/XS1fPwjXVT89xU4/xspJP825Rj8SZEU/E5lFP9wsRz+Y60k/jaBNP8USUj+WA1c/IC5cP3NHYT+qAGY/9ANqP5sZbT/bAm8/7p9vP2Ttbj9AAG0/pRNqPz9lZj+pPmI/rOhdPxOlWT8bq1U/qiVSP/oyTz/I5Ew/pUBLPzRBSj+K1Uk/huNJPyBJSj+X30o/FH9LP/gCTD+hTUw/k0pMP4zuSz+ENUs/pR9KP7utSD9d4EY/v7ZEP1QxQj/AVD8/zCw8P1bOOD9bVzU/Fu0xP+m2Lj+X4ys/sZcpP1b5Jz8qKCc/bjsnP3JFKD9tUio/bmgtP0+HMT+3qDY/mL88P7y3Qz8pdUs/SdNTP0SkXD8XsmU/zrluP290dz/KlH8/nWaDP2Vqhj+xtog/tjSKPxHYij8aoIo/7ZeJP2PVhz+AdoU/t5+CP8ntfj/uQng/VoNxP4zqaj+0qGQ/j+JeP5qxWT+7JFU/eEFRP18FTj+vZ0s/YVtJP2DSRz9IvkY/WhNGP1HJRT9620U/ckhGPy0RRz+bOEg/FsNJP0y2Sz8GGU4/G/NQP6NKVD/jJFg/LINcP31hYT+xtWY/9m5sP392cj88sXg/dgJ/P4+ngj+KwIU/vMSIPxGxiz+mhI4/sUGRP83pkz84fJY/9POYP2RGmz/cYp0/CDOfP42coD90g6E/qs2hP6NmoT8FQ6A/o2KePzHRmz8WpZg/tfyUPwf7kD8/xIw/6nqIP/Q9hD+FJ4A/OJl4Pwp6cT98Bms/20xlP4BQYD/EDVw/u3lYP9aCVT+oEVM/FwpRPy5NTz9yu00/yjdMP3SqSj+6A0k/bD5HP11fRT9JdUM/0ZZBP9TfPz/Kbj4/bmI9P/jXPD/x6Tw/hK89Px08Pz8/n0E/7OREP8MTST90L04/8jZUP5ckWz+87WI/ZoJrP5rMdD/xr34/WYSEP63ViT8hMo8/ZnyUP3CRmT+PTJ4/S4qiPyoipj8g+6g/dvmqPyEPrD9NOqw/yIWrPxIIqj8a4ac/UzelP1Q0oj+yA58/rc6bP268mD8E8ZU/Qo2TP2qrkT8JbZA/4+aPP8QukD9PWJE/EXWTPwSVlj+9xJo/yQ+gP/Z+pj+EGK4/7t+2P4bVwD9G9ss/aDvYP+6Z5T8zAvQ/qq8BQETLCUBCRBJA3QMbQGXyI0Bz8ixA2+E1QLGZPkDx7kZAyLNOQJq5VUDg01tAUdtgQFSxZEAoQ2dAP4poQLaOaECOZGdAoyllQKECYkD3F15ACpNZQDqcVEB4WU9Abu1JQDd0RECoDT9APcs5QH/CNEAG/i9AcoUrQIZbJ0BGfiNAP+cfQCSMHECaXxlAUFIWQFhUE0C/VhBAi0wNQEktCkA+9QZAuKQDQCNBAECXp/k/rNHyP60Y7D/hn+U/kX/fP0/R2T+yq9Q/9CHQP09DzD/9HMk/aLfGPzQYxT8DQsQ/bzTEPxTsxD9uYsY/8o3IP7Rhyz9lzc4/AL3SP3IZ1z8Yxts/UqTgP8GR5T97aeo/HQXvP30+8z968fY/I/75P/pK/D+qxv0/XWn+PyA1/j86Nf0/T337P6Ym+T8aTvY/wBHzP72O7z+D3+s/rxroPypS5D+4kuA/+uPcP1tI2T8UvdU/aDzSP7q7zj9ALss/1IXHP1O0wz/8rL8/4GW7P/TYtj+pBLI/QOysPz+Xpz/LEKI/1GWcP/Smlj/04pA/3SiLP6uGhT/vCIA/N3V1PwBKaz8GoGE/MYRYPwMBUD8EH0g/GuRAP3NXOj83fDQ/f1UvP4nlKj/fLSc/aS8kP4zqIT9BXyA/E40fPzFzHz92ECA/X2MhP2NqIz/JIiY/NIopP7adLT8UWjI/urs3P+a+PT+6X0Q/7JdLP/xnUz9myVs/CrhkPzswbj/TKXg/5EuBPzjAhj/EZow/AD2SP584mD+mT54/KHakPyieqj+Nt7A/FrC2P4lzvD+W7ME/ZQLHP6Cdyz8/ps8/WwXTP2Om1T9PeNc/4G7YP4aD2D/9tdc/WAzWP5qS0z+4WNA/83XMP7sAyD+zEcM/iMG9P8UnuD9EWrI/r2ysP0Vwpj/jc6A/HoSaP4qrlD+Q8I4/2F6JP8j7gz+AmH0/DKlzP+Y1aj9fRmE/+OJYP8UTUT9t4Ek//E9DP9toPT/DMDg/HKwzP13gLz930Cw/Zn8qP5zvKD8IIyg/NxsoP1PZKD8pXio/KqosP2O9Lz92lzM/bjM4P8WYPT/Wv0M/VqZKP3FIUj84oVo/l6pjPwldbT+Ir3c/qkuBP9kDhz/i+Iw/GiKTP1p2mT986J8/PWymP9HyrD+Ta7M/GMS5Pzzovz9DwsU/TTvLP8o70D89rNQ/HHbYP9iE2z8bx90/zC7fP52z3z9jUt8/NwreP8np2z+4+tg/Lk7VP4r40D9NEMw/Eq3GP6jmwD9u07o/H4u0P3Qhrj8vqac/LjKhP4TNmj9Ph5Q/CmuOP+GAiD9j1II/wNV6P/yTcD9v7GY/xuRdPyyEVT9KzE0/X75GPwVaQD9dnTo/LYU1P/EMMT//Li0/juQpP+ElJz9B6iQ/7CcjP+vUIT/W5SA/z04gP0gDID8d9h8/pBkgP91fID98uiA/PxshPyF0IT+wtyE/Z9khPw3OIT8TjCE/7QshP0NIID8WPh8/0+wdPxdWHD+hfRo/2GgYP4QeFj9fphM/vwgRP9NNDj/Ofgs/iqMIP8TDBT+m5gI/thIAP5qb+j4xOvU+PwrwPo0T6z62XOY+N+vhPoPD3T7p2dk+TU/WPtcJ0z4yI9A+MY/NPnFNyz78XMk+drzHPixqxj7xXsU+eqPEPqowxD72BMQ+Px/EPtp+xD63I8U+ew7GPnFAxz6Uu8g+d4LKPj2YzD6AAM8+Kr/RPm7Y1D6fUNg+pCzcPtpv4D72HuU+CD7qPt/Q7z4F2/U+pV/8PsWwAT+EcQU//3IJP+G1DT+UOhI/2gEXP1MKHD8tVCE/w94mPzOpLD9zsjI/TPk4P3J8Pz+JOkY/JjJNP+ZhVD9PyFs/4WNjPwg0az/bNHM/O2V7P0bhgT/MJIY/MnuKPwzijj9gVpM/oNOXP4ZXnD8h3KA/uFulP2DQqT+qMa4/bXayP1SZtj9Pj7o/HU6+P3rMwT+y/8Q/rN3HP71cyj/uc8w/UhvOPzxMzz+uAdA/FjjQPyTuzz9PJM8/Bt3NP4QczD+46Mk/D0nHPyZGxD+W6cA/nT29P+xMuT/IIbU/E8iwP9JJrD8zsac/5AejPwFXnj8Lp5k/3P+UP61okD8U6Is/BoSHP+pBgz8kTX4/l2t2P93obj+hymc/sxZhPyDSWj8kAVU/RqdPP13HSj+YY0Y/iX1CPyoWPz/mLTw/V8Q5P4DZNz/tazY/DXo1P+EBNT/7ADU/iHQ1P1dZNj/Pqzc/AGg5P8SIOz8uCz4/Y+lAP3oeRD/so0c/CHRLP2GITz8X2lM/7GFYPyMYXT/x7GE/9uZmP1/1az97DnE/Fyh2PyM4ez8KGYA/eoWCP17bhD+YFIc/9CqJP0gYiz9T1ow/sV+OP7qujz9RvZA/Z4mRPzoOkj8DSZI/1jeSP9bZkT8aL5E/\",\"dtype\":\"float32\",\"order\":\"little\",\"shape\":[5001]}},\"selected\":{\"id\":\"1165\"},\"selection_policy\":{\"id\":\"1164\"}},\"id\":\"1150\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"1162\"},\"group\":null,\"major_label_policy\":{\"id\":\"1163\"},\"ticker\":{\"id\":\"1129\"}},\"id\":\"1128\",\"type\":\"LinearAxis\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"1159\"},\"group\":null,\"major_label_policy\":{\"id\":\"1160\"},\"ticker\":{\"id\":\"1133\"}},\"id\":\"1132\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1122\",\"type\":\"DataRange1d\"},{\"attributes\":{\"line_alpha\":0.2,\"line_color\":\"olivedrab\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1153\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1160\",\"type\":\"AllLabels\"},{\"attributes\":{\"coordinates\":null,\"group\":null,\"items\":[{\"id\":\"1168\"}]},\"id\":\"1167\",\"type\":\"Legend\"},{\"attributes\":{},\"id\":\"1126\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1141\",\"type\":\"HelpTool\"},{\"attributes\":{\"line_color\":\"olivedrab\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1151\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1129\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis\":{\"id\":\"1128\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"1131\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1137\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"1136\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"1159\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis\":{\"id\":\"1132\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"1135\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1133\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1162\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"coordinates\":null,\"group\":null},\"id\":\"1156\",\"type\":\"Title\"}],\"root_ids\":[\"1119\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.3\"}};\n",
       "  const render_items = [{\"docid\":\"b111fb54-6f62-469f-8bbe-c61ef25f6aa4\",\"root_ids\":[\"1119\"],\"roots\":{\"1119\":\"dccddd3b-853c-43bd-9837-3925636949c6\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const 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": "1119"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_data, y_data_code_xrays = diffraction_pattern_xy(space_group, unit_cell, atom_list, job_info)\n",
    "fig = figure(width=FIGURE_WIDTH, height=FIGURE_HEIGHT)\n",
    "fig.line(x_data, y_data_code_xrays/200, legend_label='Xrays (file-less) / 200', color='olivedrab', line_width=2)\n",
    "show(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95daab9b",
   "metadata": {},
   "source": [
    "### Compare X-rays from CIF and programatically"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "025aca32",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "  <div class=\"bk-root\" id=\"7e27a7ec-70b1-49c5-bd83-359fd46e39fd\" data-root-id=\"1246\"></div>\n"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\",\"dtype\":\"float32\",\"order\":\"little\",\"shape\":[5001]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float32\",\"order\":\"little\",\"shape\":[5001]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float32\",\"order\":\"little\",\"shape\":[5001]}},\"selected\":{\"id\":\"1335\"},\"selection_policy\":{\"id\":\"1334\"}},\"id\":\"1316\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"orange\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1318\",\"type\":\"Line\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"1286\"},\"group\":null,\"major_label_policy\":{\"id\":\"1287\"},\"ticker\":{\"id\":\"1260\"}},\"id\":\"1259\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1249\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1253\",\"type\":\"LinearScale\"},{\"attributes\":{\"tools\":[{\"id\":\"1263\"},{\"id\":\"1264\"},{\"id\":\"1265\"},{\"id\":\"1266\"},{\"id\":\"1267\"},{\"id\":\"1268\"}]},\"id\":\"1270\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"1268\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"1256\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis\":{\"id\":\"1255\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"1258\",\"type\":\"Grid\"},{\"attributes\":{\"source\":{\"id\":\"1316\"}},\"id\":\"1321\",\"type\":\"CDSView\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"dodgerblue\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1279\",\"type\":\"Line\"},{\"attributes\":{\"line_alpha\":0.2,\"line_color\":\"orange\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1319\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1291\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"axis\":{\"id\":\"1259\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"1262\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1260\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1292\",\"type\":\"Selection\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"1316\"},\"glyph\":{\"id\":\"1317\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"1319\"},\"nonselection_glyph\":{\"id\":\"1318\"},\"view\":{\"id\":\"1321\"}},\"id\":\"1320\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1264\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"1263\",\"type\":\"PanTool\"},{\"attributes\":{\"line_color\":\"olivedrab\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1297\",\"type\":\"Line\"},{\"attributes\":{\"overlay\":{\"id\":\"1269\"}},\"id\":\"1265\",\"type\":\"BoxZoomTool\"}],\"root_ids\":[\"1246\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.3\"}};\n",
       "  const render_items = [{\"docid\":\"15113f8b-6cce-4fbe-8301-a0542595b676\",\"root_ids\":[\"1246\"],\"roots\":{\"1246\":\"7e27a7ec-70b1-49c5-bd83-359fd46e39fd\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const 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": "1246"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = figure(width=FIGURE_WIDTH, height=FIGURE_HEIGHT)\n",
    "fig.line(x_data, y_data_cif_xrays/200, legend_label='Xrays (CIF-based) / 200', color='dodgerblue', line_width=2)\n",
    "fig.line(x_data, y_data_code_xrays/200, legend_label='Xrays (file-less) / 200', color='olivedrab', line_width=2)\n",
    "fig.line(x_data, y_data_cif_xrays/200 - y_data_code_xrays/200, legend_label='Difference', color='orange', line_width=2)\n",
    "show(fig)"
   ]
  }
 ],
 "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": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}