diff --git a/.env b/.env
new file mode 100644
index 0000000..330672d
--- /dev/null
+++ b/.env
@@ -0,0 +1,22 @@
+JUPYTERHUB_ADMIN_ACCESS=1
+JUPYTERHUB_SERVICE_URL=http://0.0.0.0:8888/user/hienm2523001/
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+JUPYTERHUB_BASE_URL=/
+JUPYTER_IMAGE=444488357543.dkr.ecr.ap-southeast-1.amazonaws.com/easi-jupyter-allml-cpu:2024.12.0
+DASK_DISTRIBUTED__DASHBOARD__LINK={JUPYTERHUB_SERVICE_PREFIX}proxy/{port}/status
+JUPYTERHUB_DEFAULT_URL=/lab
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diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..ed8ebf5
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1 @@
+__pycache__
\ No newline at end of file
diff --git a/.ipynb_checkpoints/01.train_ODC-checkpoint.ipynb b/.ipynb_checkpoints/01.train_ODC-checkpoint.ipynb
new file mode 100644
index 0000000..c892162
--- /dev/null
+++ b/.ipynb_checkpoints/01.train_ODC-checkpoint.ipynb
@@ -0,0 +1,4419 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "912ed572-1658-406b-976c-cd6de2d4e89e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "(function(root) {\n",
+       "  function now() {\n",
+       "    return new Date();\n",
+       "  }\n",
+       "\n",
+       "  var force = true;\n",
+       "  var py_version = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
+       "  var reloading = false;\n",
+       "  var Bokeh = root.Bokeh;\n",
+       "\n",
+       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n",
+       "    root._bokeh_timeout = Date.now() + 5000;\n",
+       "    root._bokeh_failed_load = false;\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, js_modules, js_exports, callback) {\n",
+       "    if (css_urls == null) css_urls = [];\n",
+       "    if (js_urls == null) js_urls = [];\n",
+       "    if (js_modules == null) js_modules = [];\n",
+       "    if (js_exports == null) js_exports = {};\n",
+       "\n",
+       "    root._bokeh_onload_callbacks.push(callback);\n",
+       "\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.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
+       "      run_callbacks();\n",
+       "      return null;\n",
+       "    }\n",
+       "    if (!reloading) {\n",
+       "      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
+       "    }\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",
+       "    window._bokeh_on_load = on_load\n",
+       "\n",
+       "    function on_error() {\n",
+       "      console.error(\"failed to load \" + url);\n",
+       "    }\n",
+       "\n",
+       "    var skip = [];\n",
+       "    if (window.requirejs) {\n",
+       "      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n",
+       "      root._bokeh_is_loading = css_urls.length + 0;\n",
+       "    } else {\n",
+       "      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
+       "    }\n",
+       "\n",
+       "    var existing_stylesheets = []\n",
+       "    var links = document.getElementsByTagName('link')\n",
+       "    for (var i = 0; i < links.length; i++) {\n",
+       "      var link = links[i]\n",
+       "      if (link.href != null) {\n",
+       "\texisting_stylesheets.push(link.href)\n",
+       "      }\n",
+       "    }\n",
+       "    for (var i = 0; i < css_urls.length; i++) {\n",
+       "      var url = css_urls[i];\n",
+       "      if (existing_stylesheets.indexOf(url) !== -1) {\n",
+       "\ton_load()\n",
+       "\tcontinue;\n",
+       "      }\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",
+       "    }    var existing_scripts = []\n",
+       "    var scripts = document.getElementsByTagName('script')\n",
+       "    for (var i = 0; i < scripts.length; i++) {\n",
+       "      var script = scripts[i]\n",
+       "      if (script.src != null) {\n",
+       "\texisting_scripts.push(script.src)\n",
+       "      }\n",
+       "    }\n",
+       "    for (var i = 0; i < js_urls.length; i++) {\n",
+       "      var url = js_urls[i];\n",
+       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
+       "\tif (!window.requirejs) {\n",
+       "\t  on_load();\n",
+       "\t}\n",
+       "\tcontinue;\n",
+       "      }\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",
+       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "      document.head.appendChild(element);\n",
+       "    }\n",
+       "    for (var i = 0; i < js_modules.length; i++) {\n",
+       "      var url = js_modules[i];\n",
+       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
+       "\tif (!window.requirejs) {\n",
+       "\t  on_load();\n",
+       "\t}\n",
+       "\tcontinue;\n",
+       "      }\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",
+       "      element.type = \"module\";\n",
+       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "      document.head.appendChild(element);\n",
+       "    }\n",
+       "    for (const name in js_exports) {\n",
+       "      var url = js_exports[name];\n",
+       "      if (skip.indexOf(url) >= 0 || root[name] != null) {\n",
+       "\tif (!window.requirejs) {\n",
+       "\t  on_load();\n",
+       "\t}\n",
+       "\tcontinue;\n",
+       "      }\n",
+       "      var element = document.createElement('script');\n",
+       "      element.onerror = on_error;\n",
+       "      element.async = false;\n",
+       "      element.type = \"module\";\n",
+       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "      element.textContent = `\n",
+       "      import ${name} from \"${url}\"\n",
+       "      window.${name} = ${name}\n",
+       "      window._bokeh_on_load()\n",
+       "      `\n",
+       "      document.head.appendChild(element);\n",
+       "    }\n",
+       "    if (!js_urls.length && !js_modules.length) {\n",
+       "      on_load()\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",
+       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.holoviz.org/panel/1.4.4/dist/panel.min.js\"];\n",
+       "  var js_modules = [];\n",
+       "  var js_exports = {};\n",
+       "  var css_urls = [];\n",
+       "  var inline_js = [    function(Bokeh) {\n",
+       "      Bokeh.set_log_level(\"info\");\n",
+       "    },\n",
+       "function(Bokeh) {} // ensure no trailing comma for IE\n",
+       "  ];\n",
+       "\n",
+       "  function run_inline_js() {\n",
+       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
+       "      for (var i = 0; i < inline_js.length; i++) {\n",
+       "\ttry {\n",
+       "          inline_js[i].call(root, root.Bokeh);\n",
+       "\t} catch(e) {\n",
+       "\t  if (!reloading) {\n",
+       "\t    throw e;\n",
+       "\t  }\n",
+       "\t}\n",
+       "      }\n",
+       "      // Cache old bokeh versions\n",
+       "      if (Bokeh != undefined && !reloading) {\n",
+       "\tvar NewBokeh = root.Bokeh;\n",
+       "\tif (Bokeh.versions === undefined) {\n",
+       "\t  Bokeh.versions = new Map();\n",
+       "\t}\n",
+       "\tif (NewBokeh.version !== Bokeh.version) {\n",
+       "\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
+       "\t}\n",
+       "\troot.Bokeh = Bokeh;\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",
+       "    }\n",
+       "    root._bokeh_is_initializing = false\n",
+       "  }\n",
+       "\n",
+       "  function load_or_wait() {\n",
+       "    // Implement a backoff loop that tries to ensure we do not load multiple\n",
+       "    // versions of Bokeh and its dependencies at the same time.\n",
+       "    // In recent versions we use the root._bokeh_is_initializing flag\n",
+       "    // to determine whether there is an ongoing attempt to initialize\n",
+       "    // bokeh, however for backward compatibility we also try to ensure\n",
+       "    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
+       "    // before older versions are fully initialized.\n",
+       "    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
+       "      root._bokeh_is_initializing = false;\n",
+       "      root._bokeh_onload_callbacks = undefined;\n",
+       "      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
+       "      load_or_wait();\n",
+       "    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
+       "      setTimeout(load_or_wait, 100);\n",
+       "    } else {\n",
+       "      root._bokeh_is_initializing = true\n",
+       "      root._bokeh_onload_callbacks = []\n",
+       "      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
+       "      if (!reloading && !bokeh_loaded) {\n",
+       "\troot.Bokeh = undefined;\n",
+       "      }\n",
+       "      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
+       "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
+       "\trun_inline_js();\n",
+       "      });\n",
+       "    }\n",
+       "  }\n",
+       "  // Give older versions of the autoload script a head-start to ensure\n",
+       "  // they initialize before we start loading newer version.\n",
+       "  setTimeout(load_or_wait, 100)\n",
+       "}(window));"
+      ],
+      "application/vnd.holoviews_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n  var py_version = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  var reloading = false;\n  var Bokeh = root.Bokeh;\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\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, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\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.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      run_callbacks();\n      return null;\n    }\n    if (!reloading) {\n      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    }\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    window._bokeh_on_load = on_load\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n      root._bokeh_is_loading = css_urls.length + 0;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    var existing_stylesheets = []\n    var links = document.getElementsByTagName('link')\n    for (var i = 0; i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\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    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\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      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\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      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\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  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.holoviz.org/panel/1.4.4/dist/panel.min.js\"];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n          inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t  if (!reloading) {\n\t    throw e;\n\t  }\n\t}\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\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    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "\n",
+       "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n",
+       "  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n",
+       "}\n",
+       "\n",
+       "\n",
+       "    function JupyterCommManager() {\n",
+       "    }\n",
+       "\n",
+       "    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n",
+       "      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
+       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
+       "        comm_manager.register_target(comm_id, function(comm) {\n",
+       "          comm.on_msg(msg_handler);\n",
+       "        });\n",
+       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
+       "        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n",
+       "          comm.onMsg = msg_handler;\n",
+       "        });\n",
+       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
+       "        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n",
+       "          var messages = comm.messages[Symbol.asyncIterator]();\n",
+       "          function processIteratorResult(result) {\n",
+       "            var message = result.value;\n",
+       "            console.log(message)\n",
+       "            var content = {data: message.data, comm_id};\n",
+       "            var buffers = []\n",
+       "            for (var buffer of message.buffers || []) {\n",
+       "              buffers.push(new DataView(buffer))\n",
+       "            }\n",
+       "            var metadata = message.metadata || {};\n",
+       "            var msg = {content, buffers, metadata}\n",
+       "            msg_handler(msg);\n",
+       "            return messages.next().then(processIteratorResult);\n",
+       "          }\n",
+       "          return messages.next().then(processIteratorResult);\n",
+       "        })\n",
+       "      }\n",
+       "    }\n",
+       "\n",
+       "    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n",
+       "      if (comm_id in window.PyViz.comms) {\n",
+       "        return window.PyViz.comms[comm_id];\n",
+       "      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
+       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
+       "        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n",
+       "        if (msg_handler) {\n",
+       "          comm.on_msg(msg_handler);\n",
+       "        }\n",
+       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
+       "        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n",
+       "        comm.open();\n",
+       "        if (msg_handler) {\n",
+       "          comm.onMsg = msg_handler;\n",
+       "        }\n",
+       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
+       "        var comm_promise = google.colab.kernel.comms.open(comm_id)\n",
+       "        comm_promise.then((comm) => {\n",
+       "          window.PyViz.comms[comm_id] = comm;\n",
+       "          if (msg_handler) {\n",
+       "            var messages = comm.messages[Symbol.asyncIterator]();\n",
+       "            function processIteratorResult(result) {\n",
+       "              var message = result.value;\n",
+       "              var content = {data: message.data};\n",
+       "              var metadata = message.metadata || {comm_id};\n",
+       "              var msg = {content, metadata}\n",
+       "              msg_handler(msg);\n",
+       "              return messages.next().then(processIteratorResult);\n",
+       "            }\n",
+       "            return messages.next().then(processIteratorResult);\n",
+       "          }\n",
+       "        }) \n",
+       "        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n",
+       "          return comm_promise.then((comm) => {\n",
+       "            comm.send(data, metadata, buffers, disposeOnDone);\n",
+       "          });\n",
+       "        };\n",
+       "        var comm = {\n",
+       "          send: sendClosure\n",
+       "        };\n",
+       "      }\n",
+       "      window.PyViz.comms[comm_id] = comm;\n",
+       "      return comm;\n",
+       "    }\n",
+       "    window.PyViz.comm_manager = new JupyterCommManager();\n",
+       "    \n",
+       "\n",
+       "\n",
+       "var JS_MIME_TYPE = 'application/javascript';\n",
+       "var HTML_MIME_TYPE = 'text/html';\n",
+       "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
+       "var CLASS_NAME = 'output';\n",
+       "\n",
+       "/**\n",
+       " * Render data to the DOM node\n",
+       " */\n",
+       "function render(props, node) {\n",
+       "  var div = document.createElement(\"div\");\n",
+       "  var script = document.createElement(\"script\");\n",
+       "  node.appendChild(div);\n",
+       "  node.appendChild(script);\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle when a new output is added\n",
+       " */\n",
+       "function handle_add_output(event, handle) {\n",
+       "  var output_area = handle.output_area;\n",
+       "  var output = handle.output;\n",
+       "  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
+       "    return\n",
+       "  }\n",
+       "  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
+       "  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
+       "  if (id !== undefined) {\n",
+       "    var nchildren = toinsert.length;\n",
+       "    var html_node = toinsert[nchildren-1].children[0];\n",
+       "    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
+       "    var scripts = [];\n",
+       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
+       "    for (var i in nodelist) {\n",
+       "      if (nodelist.hasOwnProperty(i)) {\n",
+       "        scripts.push(nodelist[i])\n",
+       "      }\n",
+       "    }\n",
+       "\n",
+       "    scripts.forEach( function (oldScript) {\n",
+       "      var newScript = document.createElement(\"script\");\n",
+       "      var attrs = [];\n",
+       "      var nodemap = oldScript.attributes;\n",
+       "      for (var j in nodemap) {\n",
+       "        if (nodemap.hasOwnProperty(j)) {\n",
+       "          attrs.push(nodemap[j])\n",
+       "        }\n",
+       "      }\n",
+       "      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
+       "      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
+       "      oldScript.parentNode.replaceChild(newScript, oldScript);\n",
+       "    });\n",
+       "    if (JS_MIME_TYPE in output.data) {\n",
+       "      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
+       "    }\n",
+       "    output_area._hv_plot_id = id;\n",
+       "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
+       "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
+       "    } else {\n",
+       "      window.PyViz.plot_index[id] = null;\n",
+       "    }\n",
+       "  } else 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].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\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",
+       "/**\n",
+       " * Handle when an output is cleared or removed\n",
+       " */\n",
+       "function handle_clear_output(event, handle) {\n",
+       "  var id = handle.cell.output_area._hv_plot_id;\n",
+       "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
+       "  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
+       "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
+       "  if (server_id !== null) {\n",
+       "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
+       "    return;\n",
+       "  } else if (comm !== null) {\n",
+       "    comm.send({event_type: 'delete', 'id': id});\n",
+       "  }\n",
+       "  delete PyViz.plot_index[id];\n",
+       "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
+       "    var doc = window.Bokeh.index[id].model.document\n",
+       "    doc.clear();\n",
+       "    const i = window.Bokeh.documents.indexOf(doc);\n",
+       "    if (i > -1) {\n",
+       "      window.Bokeh.documents.splice(i, 1);\n",
+       "    }\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle kernel restart event\n",
+       " */\n",
+       "function handle_kernel_cleanup(event, handle) {\n",
+       "  delete PyViz.comms[\"hv-extension-comm\"];\n",
+       "  window.PyViz.plot_index = {}\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle update_display_data messages\n",
+       " */\n",
+       "function handle_update_output(event, handle) {\n",
+       "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
+       "  handle_add_output(event, handle)\n",
+       "}\n",
+       "\n",
+       "function register_renderer(events, OutputArea) {\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[0]);\n",
+       "    element.append(toinsert);\n",
+       "    return toinsert\n",
+       "  }\n",
+       "\n",
+       "  events.on('output_added.OutputArea', handle_add_output);\n",
+       "  events.on('output_updated.OutputArea', handle_update_output);\n",
+       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
+       "  events.on('delete.Cell', handle_clear_output);\n",
+       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
+       "\n",
+       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
+       "    safe: true,\n",
+       "    index: 0\n",
+       "  });\n",
+       "}\n",
+       "\n",
+       "if (window.Jupyter !== undefined) {\n",
+       "  try {\n",
+       "    var events = require('base/js/events');\n",
+       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
+       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
+       "      register_renderer(events, OutputArea);\n",
+       "    }\n",
+       "  } catch(err) {\n",
+       "  }\n",
+       "}\n"
+      ],
+      "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n  var div = document.createElement(\"div\");\n  var script = document.createElement(\"script\");\n  node.appendChild(div);\n  node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n  var output_area = handle.output_area;\n  var output = handle.output;\n  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n    return\n  }\n  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n  if (id !== undefined) {\n    var nchildren = toinsert.length;\n    var html_node = toinsert[nchildren-1].children[0];\n    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n    var scripts = [];\n    var nodelist = html_node.querySelectorAll(\"script\");\n    for (var i in nodelist) {\n      if (nodelist.hasOwnProperty(i)) {\n        scripts.push(nodelist[i])\n      }\n    }\n\n    scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else 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].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\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/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\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[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style>*[data-root-id],\n",
+       "*[data-root-id] > * {\n",
+       "  box-sizing: border-box;\n",
+       "  font-family: var(--jp-ui-font-family);\n",
+       "  font-size: var(--jp-ui-font-size1);\n",
+       "  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
+       "}\n",
+       "\n",
+       "/* Override VSCode background color */\n",
+       ".cell-output-ipywidget-background:has(\n",
+       "    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
+       "  ),\n",
+       ".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "</style>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.holoviews_exec.v0+json": "",
+      "text/html": [
+       "<div id='p1002'>\n",
+       "  <div id=\"e0121a67-9c59-4a98-b8c6-3476833768e6\" data-root-id=\"p1002\" style=\"display: contents;\"></div>\n",
+       "</div>\n",
+       "<script type=\"application/javascript\">(function(root) {\n",
+       "  var docs_json = {\"87f4326b-5234-442b-972d-c2facfa07de7\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"p1002\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"p1003\",\"attributes\":{\"plot_id\":\"p1002\",\"comm_id\":\"4e316b7dc9ee4d24b33ce85f278a34f7\",\"client_comm_id\":\"c1d9b0ef859343b2ab155e76a0a8ad6d\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"87f4326b-5234-442b-972d-c2facfa07de7\",\"roots\":{\"p1002\":\"e0121a67-9c59-4a98-b8c6-3476833768e6\"},\"root_ids\":[\"p1002\"]}];\n",
+       "  var docs = Object.values(docs_json)\n",
+       "  if (!docs) {\n",
+       "    return\n",
+       "  }\n",
+       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
+       "  async function embed_document(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    for (const render_item of render_items) {\n",
+       "      for (const root_id of render_item.root_ids) {\n",
+       "\tconst id_el = document.getElementById(root_id)\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
+       "\t  const root_el = id_el.children[0]\n",
+       "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
+       "\t}\n",
+       "      }\n",
+       "    }\n",
+       "  }\n",
+       "  function get_bokeh(root) {\n",
+       "    if (root.Bokeh === undefined) {\n",
+       "      return null\n",
+       "    } else if (root.Bokeh.version !== py_version) {\n",
+       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
+       "\treturn null\n",
+       "      }\n",
+       "      return root.Bokeh.versions.get(py_version);\n",
+       "    } else if (root.Bokeh.version === py_version) {\n",
+       "      return root.Bokeh\n",
+       "    }\n",
+       "    return null\n",
+       "  }\n",
+       "  function is_loaded(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
+       "  }\n",
+       "  if (is_loaded(root)) {\n",
+       "    embed_document(root);\n",
+       "  } else {\n",
+       "    var attempts = 0;\n",
+       "    var timer = setInterval(function(root) {\n",
+       "      if (is_loaded(root)) {\n",
+       "        clearInterval(timer);\n",
+       "        embed_document(root);\n",
+       "      } else if (document.readyState == \"complete\") {\n",
+       "        attempts++;\n",
+       "        if (attempts > 200) {\n",
+       "          clearInterval(timer);\n",
+       "\t  var Bokeh = get_bokeh(root)\n",
+       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
+       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
+       "\t  } else {\n",
+       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
+       "\t    embed_document(root)\n",
+       "\t  }\n",
+       "        }\n",
+       "      }\n",
+       "    }, 25, root)\n",
+       "  }\n",
+       "})(window);</script>"
+      ]
+     },
+     "metadata": {
+      "application/vnd.holoviews_exec.v0+json": {
+       "id": "p1002"
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "(function(root) {\n",
+       "  function now() {\n",
+       "    return new Date();\n",
+       "  }\n",
+       "\n",
+       "  var force = true;\n",
+       "  var py_version = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
+       "  var reloading = true;\n",
+       "  var Bokeh = root.Bokeh;\n",
+       "\n",
+       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n",
+       "    root._bokeh_timeout = Date.now() + 5000;\n",
+       "    root._bokeh_failed_load = false;\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, js_modules, js_exports, callback) {\n",
+       "    if (css_urls == null) css_urls = [];\n",
+       "    if (js_urls == null) js_urls = [];\n",
+       "    if (js_modules == null) js_modules = [];\n",
+       "    if (js_exports == null) js_exports = {};\n",
+       "\n",
+       "    root._bokeh_onload_callbacks.push(callback);\n",
+       "\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.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
+       "      run_callbacks();\n",
+       "      return null;\n",
+       "    }\n",
+       "    if (!reloading) {\n",
+       "      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
+       "    }\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",
+       "    window._bokeh_on_load = on_load\n",
+       "\n",
+       "    function on_error() {\n",
+       "      console.error(\"failed to load \" + url);\n",
+       "    }\n",
+       "\n",
+       "    var skip = [];\n",
+       "    if (window.requirejs) {\n",
+       "      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n",
+       "      root._bokeh_is_loading = css_urls.length + 0;\n",
+       "    } else {\n",
+       "      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
+       "    }\n",
+       "\n",
+       "    var existing_stylesheets = []\n",
+       "    var links = document.getElementsByTagName('link')\n",
+       "    for (var i = 0; i < links.length; i++) {\n",
+       "      var link = links[i]\n",
+       "      if (link.href != null) {\n",
+       "\texisting_stylesheets.push(link.href)\n",
+       "      }\n",
+       "    }\n",
+       "    for (var i = 0; i < css_urls.length; i++) {\n",
+       "      var url = css_urls[i];\n",
+       "      if (existing_stylesheets.indexOf(url) !== -1) {\n",
+       "\ton_load()\n",
+       "\tcontinue;\n",
+       "      }\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",
+       "    }    var existing_scripts = []\n",
+       "    var scripts = document.getElementsByTagName('script')\n",
+       "    for (var i = 0; i < scripts.length; i++) {\n",
+       "      var script = scripts[i]\n",
+       "      if (script.src != null) {\n",
+       "\texisting_scripts.push(script.src)\n",
+       "      }\n",
+       "    }\n",
+       "    for (var i = 0; i < js_urls.length; i++) {\n",
+       "      var url = js_urls[i];\n",
+       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
+       "\tif (!window.requirejs) {\n",
+       "\t  on_load();\n",
+       "\t}\n",
+       "\tcontinue;\n",
+       "      }\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",
+       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "      document.head.appendChild(element);\n",
+       "    }\n",
+       "    for (var i = 0; i < js_modules.length; i++) {\n",
+       "      var url = js_modules[i];\n",
+       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
+       "\tif (!window.requirejs) {\n",
+       "\t  on_load();\n",
+       "\t}\n",
+       "\tcontinue;\n",
+       "      }\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",
+       "      element.type = \"module\";\n",
+       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "      document.head.appendChild(element);\n",
+       "    }\n",
+       "    for (const name in js_exports) {\n",
+       "      var url = js_exports[name];\n",
+       "      if (skip.indexOf(url) >= 0 || root[name] != null) {\n",
+       "\tif (!window.requirejs) {\n",
+       "\t  on_load();\n",
+       "\t}\n",
+       "\tcontinue;\n",
+       "      }\n",
+       "      var element = document.createElement('script');\n",
+       "      element.onerror = on_error;\n",
+       "      element.async = false;\n",
+       "      element.type = \"module\";\n",
+       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "      element.textContent = `\n",
+       "      import ${name} from \"${url}\"\n",
+       "      window.${name} = ${name}\n",
+       "      window._bokeh_on_load()\n",
+       "      `\n",
+       "      document.head.appendChild(element);\n",
+       "    }\n",
+       "    if (!js_urls.length && !js_modules.length) {\n",
+       "      on_load()\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",
+       "  var js_urls = [];\n",
+       "  var js_modules = [];\n",
+       "  var js_exports = {};\n",
+       "  var css_urls = [];\n",
+       "  var inline_js = [    function(Bokeh) {\n",
+       "      Bokeh.set_log_level(\"info\");\n",
+       "    },\n",
+       "function(Bokeh) {} // ensure no trailing comma for IE\n",
+       "  ];\n",
+       "\n",
+       "  function run_inline_js() {\n",
+       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
+       "      for (var i = 0; i < inline_js.length; i++) {\n",
+       "\ttry {\n",
+       "          inline_js[i].call(root, root.Bokeh);\n",
+       "\t} catch(e) {\n",
+       "\t  if (!reloading) {\n",
+       "\t    throw e;\n",
+       "\t  }\n",
+       "\t}\n",
+       "      }\n",
+       "      // Cache old bokeh versions\n",
+       "      if (Bokeh != undefined && !reloading) {\n",
+       "\tvar NewBokeh = root.Bokeh;\n",
+       "\tif (Bokeh.versions === undefined) {\n",
+       "\t  Bokeh.versions = new Map();\n",
+       "\t}\n",
+       "\tif (NewBokeh.version !== Bokeh.version) {\n",
+       "\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
+       "\t}\n",
+       "\troot.Bokeh = Bokeh;\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",
+       "    }\n",
+       "    root._bokeh_is_initializing = false\n",
+       "  }\n",
+       "\n",
+       "  function load_or_wait() {\n",
+       "    // Implement a backoff loop that tries to ensure we do not load multiple\n",
+       "    // versions of Bokeh and its dependencies at the same time.\n",
+       "    // In recent versions we use the root._bokeh_is_initializing flag\n",
+       "    // to determine whether there is an ongoing attempt to initialize\n",
+       "    // bokeh, however for backward compatibility we also try to ensure\n",
+       "    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
+       "    // before older versions are fully initialized.\n",
+       "    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
+       "      root._bokeh_is_initializing = false;\n",
+       "      root._bokeh_onload_callbacks = undefined;\n",
+       "      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
+       "      load_or_wait();\n",
+       "    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
+       "      setTimeout(load_or_wait, 100);\n",
+       "    } else {\n",
+       "      root._bokeh_is_initializing = true\n",
+       "      root._bokeh_onload_callbacks = []\n",
+       "      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
+       "      if (!reloading && !bokeh_loaded) {\n",
+       "\troot.Bokeh = undefined;\n",
+       "      }\n",
+       "      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
+       "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
+       "\trun_inline_js();\n",
+       "      });\n",
+       "    }\n",
+       "  }\n",
+       "  // Give older versions of the autoload script a head-start to ensure\n",
+       "  // they initialize before we start loading newer version.\n",
+       "  setTimeout(load_or_wait, 100)\n",
+       "}(window));"
+      ],
+      "application/vnd.holoviews_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n  var py_version = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  var reloading = true;\n  var Bokeh = root.Bokeh;\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\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, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\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.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      run_callbacks();\n      return null;\n    }\n    if (!reloading) {\n      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    }\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    window._bokeh_on_load = on_load\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n      root._bokeh_is_loading = css_urls.length + 0;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    var existing_stylesheets = []\n    var links = document.getElementsByTagName('link')\n    for (var i = 0; i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\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    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\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      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\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      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\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  var js_urls = [];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n          inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t  if (!reloading) {\n\t    throw e;\n\t  }\n\t}\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\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    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "\n",
+       "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n",
+       "  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n",
+       "}\n",
+       "\n",
+       "\n",
+       "    function JupyterCommManager() {\n",
+       "    }\n",
+       "\n",
+       "    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n",
+       "      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
+       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
+       "        comm_manager.register_target(comm_id, function(comm) {\n",
+       "          comm.on_msg(msg_handler);\n",
+       "        });\n",
+       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
+       "        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n",
+       "          comm.onMsg = msg_handler;\n",
+       "        });\n",
+       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
+       "        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n",
+       "          var messages = comm.messages[Symbol.asyncIterator]();\n",
+       "          function processIteratorResult(result) {\n",
+       "            var message = result.value;\n",
+       "            console.log(message)\n",
+       "            var content = {data: message.data, comm_id};\n",
+       "            var buffers = []\n",
+       "            for (var buffer of message.buffers || []) {\n",
+       "              buffers.push(new DataView(buffer))\n",
+       "            }\n",
+       "            var metadata = message.metadata || {};\n",
+       "            var msg = {content, buffers, metadata}\n",
+       "            msg_handler(msg);\n",
+       "            return messages.next().then(processIteratorResult);\n",
+       "          }\n",
+       "          return messages.next().then(processIteratorResult);\n",
+       "        })\n",
+       "      }\n",
+       "    }\n",
+       "\n",
+       "    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n",
+       "      if (comm_id in window.PyViz.comms) {\n",
+       "        return window.PyViz.comms[comm_id];\n",
+       "      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
+       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
+       "        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n",
+       "        if (msg_handler) {\n",
+       "          comm.on_msg(msg_handler);\n",
+       "        }\n",
+       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
+       "        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n",
+       "        comm.open();\n",
+       "        if (msg_handler) {\n",
+       "          comm.onMsg = msg_handler;\n",
+       "        }\n",
+       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
+       "        var comm_promise = google.colab.kernel.comms.open(comm_id)\n",
+       "        comm_promise.then((comm) => {\n",
+       "          window.PyViz.comms[comm_id] = comm;\n",
+       "          if (msg_handler) {\n",
+       "            var messages = comm.messages[Symbol.asyncIterator]();\n",
+       "            function processIteratorResult(result) {\n",
+       "              var message = result.value;\n",
+       "              var content = {data: message.data};\n",
+       "              var metadata = message.metadata || {comm_id};\n",
+       "              var msg = {content, metadata}\n",
+       "              msg_handler(msg);\n",
+       "              return messages.next().then(processIteratorResult);\n",
+       "            }\n",
+       "            return messages.next().then(processIteratorResult);\n",
+       "          }\n",
+       "        }) \n",
+       "        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n",
+       "          return comm_promise.then((comm) => {\n",
+       "            comm.send(data, metadata, buffers, disposeOnDone);\n",
+       "          });\n",
+       "        };\n",
+       "        var comm = {\n",
+       "          send: sendClosure\n",
+       "        };\n",
+       "      }\n",
+       "      window.PyViz.comms[comm_id] = comm;\n",
+       "      return comm;\n",
+       "    }\n",
+       "    window.PyViz.comm_manager = new JupyterCommManager();\n",
+       "    \n",
+       "\n",
+       "\n",
+       "var JS_MIME_TYPE = 'application/javascript';\n",
+       "var HTML_MIME_TYPE = 'text/html';\n",
+       "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
+       "var CLASS_NAME = 'output';\n",
+       "\n",
+       "/**\n",
+       " * Render data to the DOM node\n",
+       " */\n",
+       "function render(props, node) {\n",
+       "  var div = document.createElement(\"div\");\n",
+       "  var script = document.createElement(\"script\");\n",
+       "  node.appendChild(div);\n",
+       "  node.appendChild(script);\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle when a new output is added\n",
+       " */\n",
+       "function handle_add_output(event, handle) {\n",
+       "  var output_area = handle.output_area;\n",
+       "  var output = handle.output;\n",
+       "  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
+       "    return\n",
+       "  }\n",
+       "  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
+       "  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
+       "  if (id !== undefined) {\n",
+       "    var nchildren = toinsert.length;\n",
+       "    var html_node = toinsert[nchildren-1].children[0];\n",
+       "    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
+       "    var scripts = [];\n",
+       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
+       "    for (var i in nodelist) {\n",
+       "      if (nodelist.hasOwnProperty(i)) {\n",
+       "        scripts.push(nodelist[i])\n",
+       "      }\n",
+       "    }\n",
+       "\n",
+       "    scripts.forEach( function (oldScript) {\n",
+       "      var newScript = document.createElement(\"script\");\n",
+       "      var attrs = [];\n",
+       "      var nodemap = oldScript.attributes;\n",
+       "      for (var j in nodemap) {\n",
+       "        if (nodemap.hasOwnProperty(j)) {\n",
+       "          attrs.push(nodemap[j])\n",
+       "        }\n",
+       "      }\n",
+       "      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
+       "      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
+       "      oldScript.parentNode.replaceChild(newScript, oldScript);\n",
+       "    });\n",
+       "    if (JS_MIME_TYPE in output.data) {\n",
+       "      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
+       "    }\n",
+       "    output_area._hv_plot_id = id;\n",
+       "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
+       "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
+       "    } else {\n",
+       "      window.PyViz.plot_index[id] = null;\n",
+       "    }\n",
+       "  } else 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].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\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",
+       "/**\n",
+       " * Handle when an output is cleared or removed\n",
+       " */\n",
+       "function handle_clear_output(event, handle) {\n",
+       "  var id = handle.cell.output_area._hv_plot_id;\n",
+       "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
+       "  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
+       "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
+       "  if (server_id !== null) {\n",
+       "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
+       "    return;\n",
+       "  } else if (comm !== null) {\n",
+       "    comm.send({event_type: 'delete', 'id': id});\n",
+       "  }\n",
+       "  delete PyViz.plot_index[id];\n",
+       "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
+       "    var doc = window.Bokeh.index[id].model.document\n",
+       "    doc.clear();\n",
+       "    const i = window.Bokeh.documents.indexOf(doc);\n",
+       "    if (i > -1) {\n",
+       "      window.Bokeh.documents.splice(i, 1);\n",
+       "    }\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle kernel restart event\n",
+       " */\n",
+       "function handle_kernel_cleanup(event, handle) {\n",
+       "  delete PyViz.comms[\"hv-extension-comm\"];\n",
+       "  window.PyViz.plot_index = {}\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle update_display_data messages\n",
+       " */\n",
+       "function handle_update_output(event, handle) {\n",
+       "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
+       "  handle_add_output(event, handle)\n",
+       "}\n",
+       "\n",
+       "function register_renderer(events, OutputArea) {\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[0]);\n",
+       "    element.append(toinsert);\n",
+       "    return toinsert\n",
+       "  }\n",
+       "\n",
+       "  events.on('output_added.OutputArea', handle_add_output);\n",
+       "  events.on('output_updated.OutputArea', handle_update_output);\n",
+       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
+       "  events.on('delete.Cell', handle_clear_output);\n",
+       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
+       "\n",
+       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
+       "    safe: true,\n",
+       "    index: 0\n",
+       "  });\n",
+       "}\n",
+       "\n",
+       "if (window.Jupyter !== undefined) {\n",
+       "  try {\n",
+       "    var events = require('base/js/events');\n",
+       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
+       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
+       "      register_renderer(events, OutputArea);\n",
+       "    }\n",
+       "  } catch(err) {\n",
+       "  }\n",
+       "}\n"
+      ],
+      "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n  var div = document.createElement(\"div\");\n  var script = document.createElement(\"script\");\n  node.appendChild(div);\n  node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n  var output_area = handle.output_area;\n  var output = handle.output;\n  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n    return\n  }\n  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n  if (id !== undefined) {\n    var nchildren = toinsert.length;\n    var html_node = toinsert[nchildren-1].children[0];\n    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n    var scripts = [];\n    var nodelist = html_node.querySelectorAll(\"script\");\n    for (var i in nodelist) {\n      if (nodelist.hasOwnProperty(i)) {\n        scripts.push(nodelist[i])\n      }\n    }\n\n    scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else 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].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\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/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\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[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style>*[data-root-id],\n",
+       "*[data-root-id] > * {\n",
+       "  box-sizing: border-box;\n",
+       "  font-family: var(--jp-ui-font-family);\n",
+       "  font-size: var(--jp-ui-font-size1);\n",
+       "  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
+       "}\n",
+       "\n",
+       "/* Override VSCode background color */\n",
+       ".cell-output-ipywidget-background:has(\n",
+       "    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
+       "  ),\n",
+       ".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "</style>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "(function(root) {\n",
+       "  function now() {\n",
+       "    return new Date();\n",
+       "  }\n",
+       "\n",
+       "  var force = true;\n",
+       "  var py_version = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
+       "  var reloading = true;\n",
+       "  var Bokeh = root.Bokeh;\n",
+       "\n",
+       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n",
+       "    root._bokeh_timeout = Date.now() + 5000;\n",
+       "    root._bokeh_failed_load = false;\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, js_modules, js_exports, callback) {\n",
+       "    if (css_urls == null) css_urls = [];\n",
+       "    if (js_urls == null) js_urls = [];\n",
+       "    if (js_modules == null) js_modules = [];\n",
+       "    if (js_exports == null) js_exports = {};\n",
+       "\n",
+       "    root._bokeh_onload_callbacks.push(callback);\n",
+       "\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.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
+       "      run_callbacks();\n",
+       "      return null;\n",
+       "    }\n",
+       "    if (!reloading) {\n",
+       "      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
+       "    }\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",
+       "    window._bokeh_on_load = on_load\n",
+       "\n",
+       "    function on_error() {\n",
+       "      console.error(\"failed to load \" + url);\n",
+       "    }\n",
+       "\n",
+       "    var skip = [];\n",
+       "    if (window.requirejs) {\n",
+       "      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n",
+       "      root._bokeh_is_loading = css_urls.length + 0;\n",
+       "    } else {\n",
+       "      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
+       "    }\n",
+       "\n",
+       "    var existing_stylesheets = []\n",
+       "    var links = document.getElementsByTagName('link')\n",
+       "    for (var i = 0; i < links.length; i++) {\n",
+       "      var link = links[i]\n",
+       "      if (link.href != null) {\n",
+       "\texisting_stylesheets.push(link.href)\n",
+       "      }\n",
+       "    }\n",
+       "    for (var i = 0; i < css_urls.length; i++) {\n",
+       "      var url = css_urls[i];\n",
+       "      if (existing_stylesheets.indexOf(url) !== -1) {\n",
+       "\ton_load()\n",
+       "\tcontinue;\n",
+       "      }\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",
+       "    }    var existing_scripts = []\n",
+       "    var scripts = document.getElementsByTagName('script')\n",
+       "    for (var i = 0; i < scripts.length; i++) {\n",
+       "      var script = scripts[i]\n",
+       "      if (script.src != null) {\n",
+       "\texisting_scripts.push(script.src)\n",
+       "      }\n",
+       "    }\n",
+       "    for (var i = 0; i < js_urls.length; i++) {\n",
+       "      var url = js_urls[i];\n",
+       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
+       "\tif (!window.requirejs) {\n",
+       "\t  on_load();\n",
+       "\t}\n",
+       "\tcontinue;\n",
+       "      }\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",
+       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "      document.head.appendChild(element);\n",
+       "    }\n",
+       "    for (var i = 0; i < js_modules.length; i++) {\n",
+       "      var url = js_modules[i];\n",
+       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
+       "\tif (!window.requirejs) {\n",
+       "\t  on_load();\n",
+       "\t}\n",
+       "\tcontinue;\n",
+       "      }\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",
+       "      element.type = \"module\";\n",
+       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "      document.head.appendChild(element);\n",
+       "    }\n",
+       "    for (const name in js_exports) {\n",
+       "      var url = js_exports[name];\n",
+       "      if (skip.indexOf(url) >= 0 || root[name] != null) {\n",
+       "\tif (!window.requirejs) {\n",
+       "\t  on_load();\n",
+       "\t}\n",
+       "\tcontinue;\n",
+       "      }\n",
+       "      var element = document.createElement('script');\n",
+       "      element.onerror = on_error;\n",
+       "      element.async = false;\n",
+       "      element.type = \"module\";\n",
+       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "      element.textContent = `\n",
+       "      import ${name} from \"${url}\"\n",
+       "      window.${name} = ${name}\n",
+       "      window._bokeh_on_load()\n",
+       "      `\n",
+       "      document.head.appendChild(element);\n",
+       "    }\n",
+       "    if (!js_urls.length && !js_modules.length) {\n",
+       "      on_load()\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",
+       "  var js_urls = [];\n",
+       "  var js_modules = [];\n",
+       "  var js_exports = {};\n",
+       "  var css_urls = [];\n",
+       "  var inline_js = [    function(Bokeh) {\n",
+       "      Bokeh.set_log_level(\"info\");\n",
+       "    },\n",
+       "function(Bokeh) {} // ensure no trailing comma for IE\n",
+       "  ];\n",
+       "\n",
+       "  function run_inline_js() {\n",
+       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
+       "      for (var i = 0; i < inline_js.length; i++) {\n",
+       "\ttry {\n",
+       "          inline_js[i].call(root, root.Bokeh);\n",
+       "\t} catch(e) {\n",
+       "\t  if (!reloading) {\n",
+       "\t    throw e;\n",
+       "\t  }\n",
+       "\t}\n",
+       "      }\n",
+       "      // Cache old bokeh versions\n",
+       "      if (Bokeh != undefined && !reloading) {\n",
+       "\tvar NewBokeh = root.Bokeh;\n",
+       "\tif (Bokeh.versions === undefined) {\n",
+       "\t  Bokeh.versions = new Map();\n",
+       "\t}\n",
+       "\tif (NewBokeh.version !== Bokeh.version) {\n",
+       "\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
+       "\t}\n",
+       "\troot.Bokeh = Bokeh;\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",
+       "    }\n",
+       "    root._bokeh_is_initializing = false\n",
+       "  }\n",
+       "\n",
+       "  function load_or_wait() {\n",
+       "    // Implement a backoff loop that tries to ensure we do not load multiple\n",
+       "    // versions of Bokeh and its dependencies at the same time.\n",
+       "    // In recent versions we use the root._bokeh_is_initializing flag\n",
+       "    // to determine whether there is an ongoing attempt to initialize\n",
+       "    // bokeh, however for backward compatibility we also try to ensure\n",
+       "    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
+       "    // before older versions are fully initialized.\n",
+       "    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
+       "      root._bokeh_is_initializing = false;\n",
+       "      root._bokeh_onload_callbacks = undefined;\n",
+       "      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
+       "      load_or_wait();\n",
+       "    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
+       "      setTimeout(load_or_wait, 100);\n",
+       "    } else {\n",
+       "      root._bokeh_is_initializing = true\n",
+       "      root._bokeh_onload_callbacks = []\n",
+       "      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
+       "      if (!reloading && !bokeh_loaded) {\n",
+       "\troot.Bokeh = undefined;\n",
+       "      }\n",
+       "      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
+       "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
+       "\trun_inline_js();\n",
+       "      });\n",
+       "    }\n",
+       "  }\n",
+       "  // Give older versions of the autoload script a head-start to ensure\n",
+       "  // they initialize before we start loading newer version.\n",
+       "  setTimeout(load_or_wait, 100)\n",
+       "}(window));"
+      ],
+      "application/vnd.holoviews_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n  var py_version = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  var reloading = true;\n  var Bokeh = root.Bokeh;\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\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, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\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.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      run_callbacks();\n      return null;\n    }\n    if (!reloading) {\n      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    }\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    window._bokeh_on_load = on_load\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n      root._bokeh_is_loading = css_urls.length + 0;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    var existing_stylesheets = []\n    var links = document.getElementsByTagName('link')\n    for (var i = 0; i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\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    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\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      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\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      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\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  var js_urls = [];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n          inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t  if (!reloading) {\n\t    throw e;\n\t  }\n\t}\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\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    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "\n",
+       "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n",
+       "  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n",
+       "}\n",
+       "\n",
+       "\n",
+       "    function JupyterCommManager() {\n",
+       "    }\n",
+       "\n",
+       "    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n",
+       "      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
+       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
+       "        comm_manager.register_target(comm_id, function(comm) {\n",
+       "          comm.on_msg(msg_handler);\n",
+       "        });\n",
+       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
+       "        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n",
+       "          comm.onMsg = msg_handler;\n",
+       "        });\n",
+       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
+       "        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n",
+       "          var messages = comm.messages[Symbol.asyncIterator]();\n",
+       "          function processIteratorResult(result) {\n",
+       "            var message = result.value;\n",
+       "            console.log(message)\n",
+       "            var content = {data: message.data, comm_id};\n",
+       "            var buffers = []\n",
+       "            for (var buffer of message.buffers || []) {\n",
+       "              buffers.push(new DataView(buffer))\n",
+       "            }\n",
+       "            var metadata = message.metadata || {};\n",
+       "            var msg = {content, buffers, metadata}\n",
+       "            msg_handler(msg);\n",
+       "            return messages.next().then(processIteratorResult);\n",
+       "          }\n",
+       "          return messages.next().then(processIteratorResult);\n",
+       "        })\n",
+       "      }\n",
+       "    }\n",
+       "\n",
+       "    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n",
+       "      if (comm_id in window.PyViz.comms) {\n",
+       "        return window.PyViz.comms[comm_id];\n",
+       "      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
+       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
+       "        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n",
+       "        if (msg_handler) {\n",
+       "          comm.on_msg(msg_handler);\n",
+       "        }\n",
+       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
+       "        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n",
+       "        comm.open();\n",
+       "        if (msg_handler) {\n",
+       "          comm.onMsg = msg_handler;\n",
+       "        }\n",
+       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
+       "        var comm_promise = google.colab.kernel.comms.open(comm_id)\n",
+       "        comm_promise.then((comm) => {\n",
+       "          window.PyViz.comms[comm_id] = comm;\n",
+       "          if (msg_handler) {\n",
+       "            var messages = comm.messages[Symbol.asyncIterator]();\n",
+       "            function processIteratorResult(result) {\n",
+       "              var message = result.value;\n",
+       "              var content = {data: message.data};\n",
+       "              var metadata = message.metadata || {comm_id};\n",
+       "              var msg = {content, metadata}\n",
+       "              msg_handler(msg);\n",
+       "              return messages.next().then(processIteratorResult);\n",
+       "            }\n",
+       "            return messages.next().then(processIteratorResult);\n",
+       "          }\n",
+       "        }) \n",
+       "        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n",
+       "          return comm_promise.then((comm) => {\n",
+       "            comm.send(data, metadata, buffers, disposeOnDone);\n",
+       "          });\n",
+       "        };\n",
+       "        var comm = {\n",
+       "          send: sendClosure\n",
+       "        };\n",
+       "      }\n",
+       "      window.PyViz.comms[comm_id] = comm;\n",
+       "      return comm;\n",
+       "    }\n",
+       "    window.PyViz.comm_manager = new JupyterCommManager();\n",
+       "    \n",
+       "\n",
+       "\n",
+       "var JS_MIME_TYPE = 'application/javascript';\n",
+       "var HTML_MIME_TYPE = 'text/html';\n",
+       "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
+       "var CLASS_NAME = 'output';\n",
+       "\n",
+       "/**\n",
+       " * Render data to the DOM node\n",
+       " */\n",
+       "function render(props, node) {\n",
+       "  var div = document.createElement(\"div\");\n",
+       "  var script = document.createElement(\"script\");\n",
+       "  node.appendChild(div);\n",
+       "  node.appendChild(script);\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle when a new output is added\n",
+       " */\n",
+       "function handle_add_output(event, handle) {\n",
+       "  var output_area = handle.output_area;\n",
+       "  var output = handle.output;\n",
+       "  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
+       "    return\n",
+       "  }\n",
+       "  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
+       "  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
+       "  if (id !== undefined) {\n",
+       "    var nchildren = toinsert.length;\n",
+       "    var html_node = toinsert[nchildren-1].children[0];\n",
+       "    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
+       "    var scripts = [];\n",
+       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
+       "    for (var i in nodelist) {\n",
+       "      if (nodelist.hasOwnProperty(i)) {\n",
+       "        scripts.push(nodelist[i])\n",
+       "      }\n",
+       "    }\n",
+       "\n",
+       "    scripts.forEach( function (oldScript) {\n",
+       "      var newScript = document.createElement(\"script\");\n",
+       "      var attrs = [];\n",
+       "      var nodemap = oldScript.attributes;\n",
+       "      for (var j in nodemap) {\n",
+       "        if (nodemap.hasOwnProperty(j)) {\n",
+       "          attrs.push(nodemap[j])\n",
+       "        }\n",
+       "      }\n",
+       "      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
+       "      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
+       "      oldScript.parentNode.replaceChild(newScript, oldScript);\n",
+       "    });\n",
+       "    if (JS_MIME_TYPE in output.data) {\n",
+       "      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
+       "    }\n",
+       "    output_area._hv_plot_id = id;\n",
+       "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
+       "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
+       "    } else {\n",
+       "      window.PyViz.plot_index[id] = null;\n",
+       "    }\n",
+       "  } else 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].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\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",
+       "/**\n",
+       " * Handle when an output is cleared or removed\n",
+       " */\n",
+       "function handle_clear_output(event, handle) {\n",
+       "  var id = handle.cell.output_area._hv_plot_id;\n",
+       "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
+       "  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
+       "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
+       "  if (server_id !== null) {\n",
+       "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
+       "    return;\n",
+       "  } else if (comm !== null) {\n",
+       "    comm.send({event_type: 'delete', 'id': id});\n",
+       "  }\n",
+       "  delete PyViz.plot_index[id];\n",
+       "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
+       "    var doc = window.Bokeh.index[id].model.document\n",
+       "    doc.clear();\n",
+       "    const i = window.Bokeh.documents.indexOf(doc);\n",
+       "    if (i > -1) {\n",
+       "      window.Bokeh.documents.splice(i, 1);\n",
+       "    }\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle kernel restart event\n",
+       " */\n",
+       "function handle_kernel_cleanup(event, handle) {\n",
+       "  delete PyViz.comms[\"hv-extension-comm\"];\n",
+       "  window.PyViz.plot_index = {}\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle update_display_data messages\n",
+       " */\n",
+       "function handle_update_output(event, handle) {\n",
+       "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
+       "  handle_add_output(event, handle)\n",
+       "}\n",
+       "\n",
+       "function register_renderer(events, OutputArea) {\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[0]);\n",
+       "    element.append(toinsert);\n",
+       "    return toinsert\n",
+       "  }\n",
+       "\n",
+       "  events.on('output_added.OutputArea', handle_add_output);\n",
+       "  events.on('output_updated.OutputArea', handle_update_output);\n",
+       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
+       "  events.on('delete.Cell', handle_clear_output);\n",
+       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
+       "\n",
+       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
+       "    safe: true,\n",
+       "    index: 0\n",
+       "  });\n",
+       "}\n",
+       "\n",
+       "if (window.Jupyter !== undefined) {\n",
+       "  try {\n",
+       "    var events = require('base/js/events');\n",
+       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
+       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
+       "      register_renderer(events, OutputArea);\n",
+       "    }\n",
+       "  } catch(err) {\n",
+       "  }\n",
+       "}\n"
+      ],
+      "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        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+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style>*[data-root-id],\n",
+       "*[data-root-id] > * {\n",
+       "  box-sizing: border-box;\n",
+       "  font-family: var(--jp-ui-font-family);\n",
+       "  font-size: var(--jp-ui-font-size1);\n",
+       "  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
+       "}\n",
+       "\n",
+       "/* Override VSCode background color */\n",
+       ".cell-output-ipywidget-background:has(\n",
+       "    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
+       "  ),\n",
+       ".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "</style>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 8.65 s, sys: 6.03 s, total: 14.7 s\n",
+      "Wall time: 8.59 s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "%matplotlib inline\n",
+    "\n",
+    "import importlib\n",
+    "import new_import_ODC  \n",
+    "\n",
+    "importlib.reload(new_import_ODC)\n",
+    "\n",
+    "from new_import_ODC import *"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "d824dc4f-994b-4d1c-8d24-ce6674da141c",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Starting new cluster.\n",
+      "CPU times: user 595 ms, sys: 46.3 ms, total: 641 ms\n",
+      "Wall time: 3min 55s\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
+       "    <div style=\"margin-left: 48px;\">\n",
+       "        <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
+       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-885db99f-9114-11ef-806a-ba496ec8b996</p>\n",
+       "        <table style=\"width: 100%; text-align: left;\">\n",
+       "\n",
+       "        <tr>\n",
+       "        \n",
+       "            <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
+       "            <td style=\"text-align: left;\"><strong>Cluster type:</strong> dask_gateway.GatewayCluster</td>\n",
+       "        \n",
+       "        </tr>\n",
+       "\n",
+       "        \n",
+       "            <tr>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Dashboard: </strong> <a href=\"https://hub.asia.easi-eo.solutions/services/dask-gateway/clusters/easihub.127ae1e5b0de4184b0adf8062163f7df/status\" target=\"_blank\">https://hub.asia.easi-eo.solutions/services/dask-gateway/clusters/easihub.127ae1e5b0de4184b0adf8062163f7df/status</a>\n",
+       "                </td>\n",
+       "                <td style=\"text-align: left;\"></td>\n",
+       "            </tr>\n",
+       "        \n",
+       "\n",
+       "        </table>\n",
+       "\n",
+       "        \n",
+       "            <button style=\"margin-bottom: 12px;\" data-commandlinker-command=\"dask:populate-and-launch-layout\" data-commandlinker-args='{\"url\": \"https://hub.asia.easi-eo.solutions/services/dask-gateway/clusters/easihub.127ae1e5b0de4184b0adf8062163f7df/status\" }'>\n",
+       "                Launch dashboard in JupyterLab\n",
+       "            </button>\n",
+       "        \n",
+       "\n",
+       "        \n",
+       "            <details>\n",
+       "            <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
+       "            <div style='background-color: #f2f2f2; display: inline-block; padding: 10px; border: 1px solid #999999;'>\n",
+       "  <h3>GatewayCluster</h3>\n",
+       "  <ul>\n",
+       "    <li><b>Name: </b>easihub.127ae1e5b0de4184b0adf8062163f7df\n",
+       "    <li><b>Dashboard: </b><a href='https://hub.asia.easi-eo.solutions/services/dask-gateway/clusters/easihub.127ae1e5b0de4184b0adf8062163f7df/status' target='_blank'>https://hub.asia.easi-eo.solutions/services/dask-gateway/clusters/easihub.127ae1e5b0de4184b0adf8062163f7df/status</a>\n",
+       "  </ul>\n",
+       "</div>\n",
+       "\n",
+       "            </details>\n",
+       "        \n",
+       "\n",
+       "    </div>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "<Client: 'tls://10.0.61.9:8786' processes=0 threads=0, memory=0 B>"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "# Cấu hình Daskgateway\n",
+    "cluster, client = notebook_utils.initialize_dask(use_gateway=True, workers=(1, 10))\n",
+    "# Khai báo 1 Datacube là dc\n",
+    "dc = datacube.Datacube()\n",
+    "\n",
+    "# Cấu hình truy cập dịch vụ S3\n",
+    "configure_s3_access(aws_unsigned=False, requester_pays=True, client=client)\n",
+    "\n",
+    "client"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "fbed4c80-bbf8-4ea8-aa45-2460b2ba04c7",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "## cấu hình thời gian lấy ảnh và tọa độ\n",
+    "date_range = (\"2022-09-01\", \"2023-10-01\")\n",
+    "longtitude_range = (105.5, 106.4)\n",
+    "latitude_range = (9.2, 10.0)\n",
+    "\n",
+    "coordinates = (longtitude_range, latitude_range)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "6b90c49b-0665-4478-a23b-d111ef88eb79",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Most common native CRS: EPSG:32648\n",
+      "No datasets require offset correction\n",
+      "The valid_data_mask and scale (no offset) have been applied to the reflectance bands\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<h4>Dataset size: 111.21 GB</h4>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
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+       ".xr-wrap {\n",
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+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
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+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 119GB\n",
+       "Dimensions:      (time: 151, y: 8874, x: 9902)\n",
+       "Coordinates:\n",
+       "  * time         (time) datetime64[ns] 1kB 2022-09-02T03:35:23.960000 ... 202...\n",
+       "  * y            (y) float64 71kB 1.106e+06 1.106e+06 ... 1.017e+06 1.017e+06\n",
+       "  * x            (x) float64 79kB 5.548e+05 5.548e+05 ... 6.538e+05 6.538e+05\n",
+       "    spatial_ref  int32 4B 32648\n",
+       "Data variables:\n",
+       "    red          (time, y, x) float32 53GB dask.array&lt;chunksize=(1, 2048, 2048), meta=np.ndarray&gt;\n",
+       "    nir          (time, y, x) float32 53GB dask.array&lt;chunksize=(1, 2048, 2048), meta=np.ndarray&gt;\n",
+       "    scl          (time, y, x) uint8 13GB dask.array&lt;chunksize=(1, 2048, 2048), meta=np.ndarray&gt;\n",
+       "Attributes:\n",
+       "    crs:           EPSG:32648\n",
+       "    grid_mapping:  spatial_ref</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2b9a7dbc-b71d-4b5b-8dcc-e3747f0c2645' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2b9a7dbc-b71d-4b5b-8dcc-e3747f0c2645' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 151</li><li><span class='xr-has-index'>y</span>: 8874</li><li><span class='xr-has-index'>x</span>: 9902</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-74794f3a-490f-433f-bfe2-3422cef7ceb1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-74794f3a-490f-433f-bfe2-3422cef7ceb1' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-09-02T03:35:23.960000 ... 2...</div><input id='attrs-4331605a-5c58-4648-87f0-4749d52a0eb8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4331605a-5c58-4648-87f0-4749d52a0eb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72830bee-e5c7-4894-86b6-af2af49f9129' class='xr-var-data-in' type='checkbox'><label for='data-72830bee-e5c7-4894-86b6-af2af49f9129' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-09-02T03:35:23.960000000&#x27;, &#x27;2022-09-04T03:25:18.037000000&#x27;,\n",
+       "       &#x27;2022-09-07T03:35:13.646000000&#x27;, &#x27;2022-09-09T03:25:27.617000000&#x27;,\n",
+       "       &#x27;2022-09-12T03:35:22.247000000&#x27;, &#x27;2022-09-14T03:25:18.529000000&#x27;,\n",
+       "       &#x27;2022-09-17T03:35:13.648000000&#x27;, &#x27;2022-09-19T03:25:24.773000000&#x27;,\n",
+       "       &#x27;2022-09-22T03:35:18.931000000&#x27;, &#x27;2022-09-24T03:25:17.431000000&#x27;,\n",
+       "       &#x27;2022-09-27T03:35:12.140000000&#x27;, &#x27;2022-09-29T03:25:23.829000000&#x27;,\n",
+       "       &#x27;2022-10-02T03:35:19.048000000&#x27;, &#x27;2022-10-07T03:35:09.133000000&#x27;,\n",
+       "       &#x27;2022-10-09T03:25:22.746000000&#x27;, &#x27;2022-10-12T03:35:17.151000000&#x27;,\n",
+       "       &#x27;2022-10-14T03:25:15.533000000&#x27;, &#x27;2022-10-17T03:35:11.148000000&#x27;,\n",
+       "       &#x27;2022-10-19T03:25:18.808000000&#x27;, &#x27;2022-10-22T03:35:13.746000000&#x27;,\n",
+       "       &#x27;2022-10-24T03:25:15.878000000&#x27;, &#x27;2022-10-27T03:35:10.923000000&#x27;,\n",
+       "       &#x27;2022-10-29T03:25:20.127000000&#x27;, &#x27;2022-11-01T03:35:15.818000000&#x27;,\n",
+       "       &#x27;2022-11-03T03:25:14.204000000&#x27;, &#x27;2022-11-06T03:35:10.096000000&#x27;,\n",
+       "       &#x27;2022-11-11T03:35:15.334000000&#x27;, &#x27;2022-11-13T03:25:16.056000000&#x27;,\n",
+       "       &#x27;2022-11-16T03:35:11.542000000&#x27;, &#x27;2022-11-18T03:25:18.155000000&#x27;,\n",
+       "       &#x27;2022-11-21T03:35:12.396000000&#x27;, &#x27;2022-11-23T03:25:16.067000000&#x27;,\n",
+       "       &#x27;2022-11-26T03:35:11.063000000&#x27;, &#x27;2022-11-28T03:25:16.297000000&#x27;,\n",
+       "       &#x27;2022-12-01T03:35:12.009000000&#x27;, &#x27;2022-12-03T03:25:14.366000000&#x27;,\n",
+       "       &#x27;2022-12-06T03:35:10.293000000&#x27;, &#x27;2022-12-08T03:25:17.072000000&#x27;,\n",
+       "       &#x27;2022-12-11T03:35:12.184000000&#x27;, &#x27;2022-12-16T03:35:10.130000000&#x27;,\n",
+       "       &#x27;2022-12-18T03:25:15.584000000&#x27;, &#x27;2022-12-21T03:35:09.988000000&#x27;,\n",
+       "       &#x27;2022-12-23T03:25:15.763000000&#x27;, &#x27;2022-12-26T03:35:11.128000000&#x27;,\n",
+       "       &#x27;2022-12-28T03:25:15.151000000&#x27;, &#x27;2022-12-31T03:35:10.753000000&#x27;,\n",
+       "       &#x27;2023-01-02T03:25:15.152000000&#x27;, &#x27;2023-01-05T03:35:09.844000000&#x27;,\n",
+       "       &#x27;2023-01-07T03:25:15.343000000&#x27;, &#x27;2023-01-10T03:35:10.149000000&#x27;,\n",
+       "       &#x27;2023-01-12T03:25:12.066000000&#x27;, &#x27;2023-01-15T03:35:08.140000000&#x27;,\n",
+       "       &#x27;2023-01-17T03:25:12.454000000&#x27;, &#x27;2023-01-20T03:35:06.593000000&#x27;,\n",
+       "       &#x27;2023-01-22T03:25:14.446000000&#x27;, &#x27;2023-01-25T03:35:09.824000000&#x27;,\n",
+       "       &#x27;2023-01-27T03:25:13.987000000&#x27;, &#x27;2023-01-30T03:35:09.963000000&#x27;,\n",
+       "       &#x27;2023-02-01T03:25:13.595000000&#x27;, &#x27;2023-02-04T03:35:09.008000000&#x27;,\n",
+       "       &#x27;2023-02-06T03:25:15.471000000&#x27;, &#x27;2023-02-09T03:35:10.646000000&#x27;,\n",
+       "       &#x27;2023-02-11T03:25:15.100000000&#x27;, &#x27;2023-02-14T03:35:10.240000000&#x27;,\n",
+       "       &#x27;2023-02-16T03:25:28.099000000&#x27;, &#x27;2023-02-24T03:35:12.118000000&#x27;,\n",
+       "       &#x27;2023-02-26T03:25:14.146000000&#x27;, &#x27;2023-03-01T03:35:09.182000000&#x27;,\n",
+       "       &#x27;2023-03-03T03:25:17.841000000&#x27;, &#x27;2023-03-06T03:35:14.717000000&#x27;,\n",
+       "       &#x27;2023-03-08T03:25:12.032000000&#x27;, &#x27;2023-03-11T03:35:07.230000000&#x27;,\n",
+       "       &#x27;2023-03-13T03:25:20.837000000&#x27;, &#x27;2023-03-16T03:35:15.940000000&#x27;,\n",
+       "       &#x27;2023-03-18T03:25:14.467000000&#x27;, &#x27;2023-03-21T03:35:10.279000000&#x27;,\n",
+       "       &#x27;2023-03-23T03:25:18.795000000&#x27;, &#x27;2023-03-26T03:35:14.570000000&#x27;,\n",
+       "       &#x27;2023-03-28T03:25:14.536000000&#x27;, &#x27;2023-03-31T03:35:10.140000000&#x27;,\n",
+       "       &#x27;2023-04-02T03:25:19.945000000&#x27;, &#x27;2023-04-05T03:35:14.925000000&#x27;,\n",
+       "       &#x27;2023-04-07T03:25:16.518000000&#x27;, &#x27;2023-04-10T03:35:12.000000000&#x27;,\n",
+       "       &#x27;2023-04-15T03:35:12.743000000&#x27;, &#x27;2023-04-20T03:35:10.328000000&#x27;,\n",
+       "       &#x27;2023-04-22T03:25:18.572000000&#x27;, &#x27;2023-04-25T03:35:13.748000000&#x27;,\n",
+       "       &#x27;2023-04-27T03:25:16.567000000&#x27;, &#x27;2023-04-30T03:35:12.151000000&#x27;,\n",
+       "       &#x27;2023-05-02T03:25:18.866000000&#x27;, &#x27;2023-05-05T03:35:14.433000000&#x27;,\n",
+       "       &#x27;2023-05-07T03:25:16.583000000&#x27;, &#x27;2023-05-10T03:35:11.284000000&#x27;,\n",
+       "       &#x27;2023-05-12T03:25:19.200000000&#x27;, &#x27;2023-05-15T03:35:15.683000000&#x27;,\n",
+       "       &#x27;2023-05-17T03:25:17.911000000&#x27;, &#x27;2023-05-20T03:35:14.193000000&#x27;,\n",
+       "       &#x27;2023-05-22T03:25:36.378000000&#x27;, &#x27;2023-05-25T03:35:16.657000000&#x27;,\n",
+       "       &#x27;2023-05-27T03:25:20.078000000&#x27;, &#x27;2023-05-30T03:35:15.642000000&#x27;,\n",
+       "       &#x27;2023-06-01T03:25:20.268000000&#x27;, &#x27;2023-06-04T03:35:16.047000000&#x27;,\n",
+       "       &#x27;2023-06-06T03:25:20.180000000&#x27;, &#x27;2023-06-09T03:35:15.534000000&#x27;,\n",
+       "       &#x27;2023-06-11T03:25:21.573000000&#x27;, &#x27;2023-06-14T03:35:16.859000000&#x27;,\n",
+       "       &#x27;2023-06-16T03:25:20.769000000&#x27;, &#x27;2023-06-19T03:35:15.908000000&#x27;,\n",
+       "       &#x27;2023-06-21T03:25:20.640000000&#x27;, &#x27;2023-06-24T03:35:15.972000000&#x27;,\n",
+       "       &#x27;2023-06-26T03:25:19.927000000&#x27;, &#x27;2023-06-29T03:35:15.752000000&#x27;,\n",
+       "       &#x27;2023-07-01T03:25:21.763000000&#x27;, &#x27;2023-07-04T03:35:17.227000000&#x27;,\n",
+       "       &#x27;2023-07-06T03:25:21.702000000&#x27;, &#x27;2023-07-09T03:35:17.102000000&#x27;,\n",
+       "       &#x27;2023-07-11T03:25:21.515000000&#x27;, &#x27;2023-07-14T03:35:16.582000000&#x27;,\n",
+       "       &#x27;2023-07-16T03:25:21.326000000&#x27;, &#x27;2023-07-19T03:35:16.050000000&#x27;,\n",
+       "       &#x27;2023-07-21T03:25:22.444000000&#x27;, &#x27;2023-07-24T03:35:17.845000000&#x27;,\n",
+       "       &#x27;2023-07-26T03:25:21.503000000&#x27;, &#x27;2023-07-29T03:35:17.083000000&#x27;,\n",
+       "       &#x27;2023-07-31T03:25:36.753000000&#x27;, &#x27;2023-08-03T03:35:16.494000000&#x27;,\n",
+       "       &#x27;2023-08-05T03:25:21.570000000&#x27;, &#x27;2023-08-08T03:35:16.313000000&#x27;,\n",
+       "       &#x27;2023-08-10T03:25:22.024000000&#x27;, &#x27;2023-08-13T03:35:17.448000000&#x27;,\n",
+       "       &#x27;2023-08-15T03:25:22.075000000&#x27;, &#x27;2023-08-18T03:35:17.812000000&#x27;,\n",
+       "       &#x27;2023-08-20T03:25:21.568000000&#x27;, &#x27;2023-08-23T03:35:16.224000000&#x27;,\n",
+       "       &#x27;2023-08-25T03:25:22.592000000&#x27;, &#x27;2023-08-28T03:35:17.571000000&#x27;,\n",
+       "       &#x27;2023-08-30T03:25:21.212000000&#x27;, &#x27;2023-09-02T03:35:16.627000000&#x27;,\n",
+       "       &#x27;2023-09-04T03:25:21.856000000&#x27;, &#x27;2023-09-07T03:35:17.134000000&#x27;,\n",
+       "       &#x27;2023-09-09T03:25:20.648000000&#x27;, &#x27;2023-09-12T03:35:15.326000000&#x27;,\n",
+       "       &#x27;2023-09-14T03:25:35.755000000&#x27;, &#x27;2023-09-17T03:35:15.269000000&#x27;,\n",
+       "       &#x27;2023-09-19T03:25:24.089000000&#x27;, &#x27;2023-09-22T03:35:15.439000000&#x27;,\n",
+       "       &#x27;2023-09-24T03:25:18.524000000&#x27;, &#x27;2023-09-27T03:35:14.112000000&#x27;,\n",
+       "       &#x27;2023-09-29T03:25:19.046000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.106e+06 1.106e+06 ... 1.017e+06</div><input id='attrs-b7fa6c0f-af20-4cb6-a679-206add25faaa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b7fa6c0f-af20-4cb6-a679-206add25faaa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dff0e89c-d005-40bf-95c9-bd53eedf4021' class='xr-var-data-in' type='checkbox'><label for='data-dff0e89c-d005-40bf-95c9-bd53eedf4021' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>-10.0</dd><dt><span>crs :</span></dt><dd>EPSG:32648</dd></dl></div><div class='xr-var-data'><pre>array([1105735., 1105725., 1105715., ..., 1017025., 1017015., 1017005.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.548e+05 5.548e+05 ... 6.538e+05</div><input id='attrs-718bdd13-8777-46e0-ad2d-5b1325fa544b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-718bdd13-8777-46e0-ad2d-5b1325fa544b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e688bb50-9fe2-4bfc-a25c-c17ee9bbffa3' class='xr-var-data-in' type='checkbox'><label for='data-e688bb50-9fe2-4bfc-a25c-c17ee9bbffa3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>10.0</dd><dt><span>crs :</span></dt><dd>EPSG:32648</dd></dl></div><div class='xr-var-data'><pre>array([554795., 554805., 554815., ..., 653785., 653795., 653805.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>32648</div><input id='attrs-825a54c8-6e4b-4951-a0a1-895627a5b641' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-825a54c8-6e4b-4951-a0a1-895627a5b641' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f5b2112-0228-4ceb-9461-edfa4914449a' class='xr-var-data-in' type='checkbox'><label for='data-7f5b2112-0228-4ceb-9461-edfa4914449a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 48N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,105],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32648&quot;]]</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd></dl></div><div class='xr-var-data'><pre>array(32648, dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-74b03cee-5b4b-4510-9d3e-00bbcd852ded' class='xr-section-summary-in' type='checkbox'  checked><label for='section-74b03cee-5b4b-4510-9d3e-00bbcd852ded' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>red</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2048, 2048), meta=np.ndarray&gt;</div><input id='attrs-0992be57-c02f-4094-b618-63e3076c29f0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0992be57-c02f-4094-b618-63e3076c29f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4eafe7c2-172a-4835-bacb-65b959366da2' class='xr-var-data-in' type='checkbox'><label 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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 49.43 GiB </td>\n",
+       "                        <td> 16.00 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (151, 8874, 9902) </td>\n",
+       "                        <td> (1, 2048, 2048) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3775 chunks in 8 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
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+       "        </td>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nir</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2048, 2048), meta=np.ndarray&gt;</div><input id='attrs-f61bb112-85dc-45fe-8641-0974553ba82d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f61bb112-85dc-45fe-8641-0974553ba82d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d4b007f-f13d-480c-abfa-12e9224cd209' class='xr-var-data-in' type='checkbox'><label for='data-7d4b007f-f13d-480c-abfa-12e9224cd209' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 49.43 GiB </td>\n",
+       "                        <td> 16.00 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (151, 8874, 9902) </td>\n",
+       "                        <td> (1, 2048, 2048) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3775 chunks in 8 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>scl</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2048, 2048), meta=np.ndarray&gt;</div><input id='attrs-b83d43d1-2737-4fcc-9af1-febfebfaabc4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b83d43d1-2737-4fcc-9af1-febfebfaabc4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0d582cc-0ae1-4e98-9249-884c456abb7a' class='xr-var-data-in' type='checkbox'><label for='data-b0d582cc-0ae1-4e98-9249-884c456abb7a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>0</dd><dt><span>flags_definition :</span></dt><dd>{&#x27;qa&#x27;: {&#x27;bits&#x27;: [0, 1, 2, 3, 4, 5, 6, 7], &#x27;values&#x27;: {&#x27;0&#x27;: &#x27;no data&#x27;, &#x27;1&#x27;: &#x27;saturated or defective&#x27;, &#x27;2&#x27;: &#x27;dark area pixels&#x27;, &#x27;3&#x27;: &#x27;cloud shadows&#x27;, &#x27;4&#x27;: &#x27;vegetation&#x27;, &#x27;5&#x27;: &#x27;bare soils&#x27;, &#x27;6&#x27;: &#x27;water&#x27;, &#x27;7&#x27;: &#x27;unclassified&#x27;, &#x27;8&#x27;: &#x27;cloud medium probability&#x27;, &#x27;9&#x27;: &#x27;cloud high probability&#x27;, &#x27;10&#x27;: &#x27;thin cirrus&#x27;, &#x27;11&#x27;: &#x27;snow or ice&#x27;}, &#x27;description&#x27;: &#x27;Sen2Cor Scene Classification&#x27;}}</dd><dt><span>crs :</span></dt><dd>EPSG:32648</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 12.36 GiB </td>\n",
+       "                        <td> 4.00 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (151, 8874, 9902) </td>\n",
+       "                        <td> (1, 2048, 2048) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3775 chunks in 1 graph layer </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
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+       "\n",
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+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-a1fe7261-b87b-4c78-be9a-a9dfd53772be' class='xr-section-summary-in' type='checkbox'  ><label for='section-a1fe7261-b87b-4c78-be9a-a9dfd53772be' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5cec1b01-6921-45cf-ad71-0891dbccf326' class='xr-index-data-in' type='checkbox'/><label for='index-5cec1b01-6921-45cf-ad71-0891dbccf326' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-09-02 03:35:23.960000&#x27;, &#x27;2022-09-04 03:25:18.037000&#x27;,\n",
+       "               &#x27;2022-09-07 03:35:13.646000&#x27;, &#x27;2022-09-09 03:25:27.617000&#x27;,\n",
+       "               &#x27;2022-09-12 03:35:22.247000&#x27;, &#x27;2022-09-14 03:25:18.529000&#x27;,\n",
+       "               &#x27;2022-09-17 03:35:13.648000&#x27;, &#x27;2022-09-19 03:25:24.773000&#x27;,\n",
+       "               &#x27;2022-09-22 03:35:18.931000&#x27;, &#x27;2022-09-24 03:25:17.431000&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2023-09-07 03:35:17.134000&#x27;, &#x27;2023-09-09 03:25:20.648000&#x27;,\n",
+       "               &#x27;2023-09-12 03:35:15.326000&#x27;, &#x27;2023-09-14 03:25:35.755000&#x27;,\n",
+       "               &#x27;2023-09-17 03:35:15.269000&#x27;, &#x27;2023-09-19 03:25:24.089000&#x27;,\n",
+       "               &#x27;2023-09-22 03:35:15.439000&#x27;, &#x27;2023-09-24 03:25:18.524000&#x27;,\n",
+       "               &#x27;2023-09-27 03:35:14.112000&#x27;, &#x27;2023-09-29 03:25:19.046000&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=151, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-61fa7351-6e92-4e7f-9cad-19c2135eb661' class='xr-index-data-in' type='checkbox'/><label for='index-61fa7351-6e92-4e7f-9cad-19c2135eb661' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([1105735.0, 1105725.0, 1105715.0, 1105705.0, 1105695.0, 1105685.0,\n",
+       "              1105675.0, 1105665.0, 1105655.0, 1105645.0,\n",
+       "              ...\n",
+       "              1017095.0, 1017085.0, 1017075.0, 1017065.0, 1017055.0, 1017045.0,\n",
+       "              1017035.0, 1017025.0, 1017015.0, 1017005.0],\n",
+       "             dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=8874))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-baaaebf5-f875-41ce-b29a-c772fd69fef5' class='xr-index-data-in' type='checkbox'/><label for='index-baaaebf5-f875-41ce-b29a-c772fd69fef5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([554795.0, 554805.0, 554815.0, 554825.0, 554835.0, 554845.0,\n",
+       "              554855.0, 554865.0, 554875.0, 554885.0,\n",
+       "              ...\n",
+       "              653715.0, 653725.0, 653735.0, 653745.0, 653755.0, 653765.0,\n",
+       "              653775.0, 653785.0, 653795.0, 653805.0],\n",
+       "             dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=9902))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-838b98ae-67e4-4e08-b25f-e494d45e32db' class='xr-section-summary-in' type='checkbox'  checked><label for='section-838b98ae-67e4-4e08-b25f-e494d45e32db' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>crs :</span></dt><dd>EPSG:32648</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 119GB\n",
+       "Dimensions:      (time: 151, y: 8874, x: 9902)\n",
+       "Coordinates:\n",
+       "  * time         (time) datetime64[ns] 1kB 2022-09-02T03:35:23.960000 ... 202...\n",
+       "  * y            (y) float64 71kB 1.106e+06 1.106e+06 ... 1.017e+06 1.017e+06\n",
+       "  * x            (x) float64 79kB 5.548e+05 5.548e+05 ... 6.538e+05 6.538e+05\n",
+       "    spatial_ref  int32 4B 32648\n",
+       "Data variables:\n",
+       "    red          (time, y, x) float32 53GB dask.array<chunksize=(1, 2048, 2048), meta=np.ndarray>\n",
+       "    nir          (time, y, x) float32 53GB dask.array<chunksize=(1, 2048, 2048), meta=np.ndarray>\n",
+       "    scl          (time, y, x) uint8 13GB dask.array<chunksize=(1, 2048, 2048), meta=np.ndarray>\n",
+       "Attributes:\n",
+       "    crs:           EPSG:32648\n",
+       "    grid_mapping:  spatial_ref"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "## truy vấn ảnh vệ tinh sen2\n",
+    "data = load_data(dc, date_range, longtitude_range, latitude_range)\n",
+    "notebook_utils.heading(notebook_utils.xarray_object_size(data))\n",
+    "display(data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "2f6938b6-82e2-4916-bc1d-719c169e25e4",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>bits</th>\n",
+       "      <th>values</th>\n",
+       "      <th>description</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>qa</th>\n",
+       "      <td>[0, 1, 2, 3, 4, 5, 6, 7]</td>\n",
+       "      <td>{'0': 'no data', '1': 'saturated or defective'...</td>\n",
+       "      <td>Sen2Cor Scene Classification</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                        bits  \\\n",
+       "qa  [0, 1, 2, 3, 4, 5, 6, 7]   \n",
+       "\n",
+       "                                               values  \\\n",
+       "qa  {'0': 'no data', '1': 'saturated or defective'...   \n",
+       "\n",
+       "                     description  \n",
+       "qa  Sen2Cor Scene Classification  "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "{'0': 'no data',\n",
+       " '1': 'saturated or defective',\n",
+       " '2': 'dark area pixels',\n",
+       " '3': 'cloud shadows',\n",
+       " '4': 'vegetation',\n",
+       " '5': 'bare soils',\n",
+       " '6': 'water',\n",
+       " '7': 'unclassified',\n",
+       " '8': 'cloud medium probability',\n",
+       " '9': 'cloud high probability',\n",
+       " '10': 'thin cirrus',\n",
+       " '11': 'snow or ice'}"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 1.21 s, sys: 20.7 ms, total: 1.23 s\n",
+      "Wall time: 1.23 s\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "1892d69c7e374663a36b6c29a5e4887e",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "VBox()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "# Tiến hành loại bỏ các vị trí bị mây ảnh hưởng\n",
+    "result = mask_clean(data)\n",
+    "progress(result)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "435f9f78-a9a4-4226-86ca-d4bec42d454e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
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+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
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+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
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+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
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+       "\n",
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+       "  color: var(--xr-font-color2);\n",
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+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
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+       "  font-weight: 500;\n",
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+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
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+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
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+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
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+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
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+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
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+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
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+       "  padding-right: 5px;\n",
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+       "  padding-right: 10px;\n",
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+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;NDVI&#x27; (time: 151, y: 8874, x: 9902)&gt; Size: 53GB\n",
+       "dask.array&lt;truediv, shape=(151, 8874, 9902), dtype=float32, chunksize=(1, 2048, 2048), chunktype=numpy.ndarray&gt;\n",
+       "Coordinates:\n",
+       "  * time         (time) datetime64[ns] 1kB 2022-09-02T03:35:23.960000 ... 202...\n",
+       "  * y            (y) float64 71kB 1.106e+06 1.106e+06 ... 1.017e+06 1.017e+06\n",
+       "  * x            (x) float64 79kB 5.548e+05 5.548e+05 ... 6.538e+05 6.538e+05\n",
+       "    spatial_ref  int32 4B 32648</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'NDVI'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 151</li><li><span class='xr-has-index'>y</span>: 8874</li><li><span class='xr-has-index'>x</span>: 9902</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-895c727b-5c3a-4746-9fa8-3bd8937b5e89' class='xr-array-in' type='checkbox' checked><label for='section-895c727b-5c3a-4746-9fa8-3bd8937b5e89' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 2048, 2048), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 49.43 GiB </td>\n",
+       "                        <td> 16.00 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (151, 8874, 9902) </td>\n",
+       "                        <td> (1, 2048, 2048) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 3775 chunks in 7 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
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+       "</table></div></div></li><li class='xr-section-item'><input id='section-2d047dc7-1249-4915-9ed0-e17a15b5afd5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2d047dc7-1249-4915-9ed0-e17a15b5afd5' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-09-02T03:35:23.960000 ... 2...</div><input id='attrs-c388d9bc-4a98-416d-ace7-5c953b354bdc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c388d9bc-4a98-416d-ace7-5c953b354bdc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22305c4a-78e7-4f0d-b48c-ae932233bfa2' class='xr-var-data-in' type='checkbox'><label for='data-22305c4a-78e7-4f0d-b48c-ae932233bfa2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-09-02T03:35:23.960000000&#x27;, &#x27;2022-09-04T03:25:18.037000000&#x27;,\n",
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+       "       &#x27;2023-09-24T03:25:18.524000000&#x27;, &#x27;2023-09-27T03:35:14.112000000&#x27;,\n",
+       "       &#x27;2023-09-29T03:25:19.046000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.106e+06 1.106e+06 ... 1.017e+06</div><input id='attrs-2ffefe14-1b39-4003-96dd-d837587566e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ffefe14-1b39-4003-96dd-d837587566e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fad1a5b-c891-471b-8012-3a6ebaef8844' class='xr-var-data-in' type='checkbox'><label for='data-9fad1a5b-c891-471b-8012-3a6ebaef8844' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>-10.0</dd><dt><span>crs :</span></dt><dd>EPSG:32648</dd></dl></div><div class='xr-var-data'><pre>array([1105735., 1105725., 1105715., ..., 1017025., 1017015., 1017005.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.548e+05 5.548e+05 ... 6.538e+05</div><input id='attrs-33663653-d7fd-452f-a77d-a672c207cd4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33663653-d7fd-452f-a77d-a672c207cd4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-098b25fe-3b4d-420c-a481-d65e1ec38a07' class='xr-var-data-in' type='checkbox'><label for='data-098b25fe-3b4d-420c-a481-d65e1ec38a07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>10.0</dd><dt><span>crs :</span></dt><dd>EPSG:32648</dd></dl></div><div class='xr-var-data'><pre>array([554795., 554805., 554815., ..., 653785., 653795., 653805.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>32648</div><input id='attrs-58879100-ef7d-45be-844b-e34e98631fdc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58879100-ef7d-45be-844b-e34e98631fdc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8784e40-4592-42ec-a956-8e5a4418ca64' class='xr-var-data-in' type='checkbox'><label for='data-b8784e40-4592-42ec-a956-8e5a4418ca64' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 48N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,105],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32648&quot;]]</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd></dl></div><div class='xr-var-data'><pre>array(32648, dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-54820973-8e0e-43e4-bf13-f24fd6af33ed' class='xr-section-summary-in' type='checkbox'  ><label for='section-54820973-8e0e-43e4-bf13-f24fd6af33ed' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c3df4638-1f8f-4735-860f-273dd79a1082' class='xr-index-data-in' type='checkbox'/><label for='index-c3df4638-1f8f-4735-860f-273dd79a1082' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-09-02 03:35:23.960000&#x27;, &#x27;2022-09-04 03:25:18.037000&#x27;,\n",
+       "               &#x27;2022-09-07 03:35:13.646000&#x27;, &#x27;2022-09-09 03:25:27.617000&#x27;,\n",
+       "               &#x27;2022-09-12 03:35:22.247000&#x27;, &#x27;2022-09-14 03:25:18.529000&#x27;,\n",
+       "               &#x27;2022-09-17 03:35:13.648000&#x27;, &#x27;2022-09-19 03:25:24.773000&#x27;,\n",
+       "               &#x27;2022-09-22 03:35:18.931000&#x27;, &#x27;2022-09-24 03:25:17.431000&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2023-09-07 03:35:17.134000&#x27;, &#x27;2023-09-09 03:25:20.648000&#x27;,\n",
+       "               &#x27;2023-09-12 03:35:15.326000&#x27;, &#x27;2023-09-14 03:25:35.755000&#x27;,\n",
+       "               &#x27;2023-09-17 03:35:15.269000&#x27;, &#x27;2023-09-19 03:25:24.089000&#x27;,\n",
+       "               &#x27;2023-09-22 03:35:15.439000&#x27;, &#x27;2023-09-24 03:25:18.524000&#x27;,\n",
+       "               &#x27;2023-09-27 03:35:14.112000&#x27;, &#x27;2023-09-29 03:25:19.046000&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=151, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5895aa23-af55-4edb-a3cb-5c47714e0ddc' class='xr-index-data-in' type='checkbox'/><label for='index-5895aa23-af55-4edb-a3cb-5c47714e0ddc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([1105735.0, 1105725.0, 1105715.0, 1105705.0, 1105695.0, 1105685.0,\n",
+       "              1105675.0, 1105665.0, 1105655.0, 1105645.0,\n",
+       "              ...\n",
+       "              1017095.0, 1017085.0, 1017075.0, 1017065.0, 1017055.0, 1017045.0,\n",
+       "              1017035.0, 1017025.0, 1017015.0, 1017005.0],\n",
+       "             dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=8874))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-99f3886a-42a9-4eec-b9ff-150240356aa9' class='xr-index-data-in' type='checkbox'/><label for='index-99f3886a-42a9-4eec-b9ff-150240356aa9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([554795.0, 554805.0, 554815.0, 554825.0, 554835.0, 554845.0,\n",
+       "              554855.0, 554865.0, 554875.0, 554885.0,\n",
+       "              ...\n",
+       "              653715.0, 653725.0, 653735.0, 653745.0, 653755.0, 653765.0,\n",
+       "              653775.0, 653785.0, 653795.0, 653805.0],\n",
+       "             dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=9902))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-396afcf6-ebe5-4809-8493-637f3291f110' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-396afcf6-ebe5-4809-8493-637f3291f110' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'NDVI' (time: 151, y: 8874, x: 9902)> Size: 53GB\n",
+       "dask.array<truediv, shape=(151, 8874, 9902), dtype=float32, chunksize=(1, 2048, 2048), chunktype=numpy.ndarray>\n",
+       "Coordinates:\n",
+       "  * time         (time) datetime64[ns] 1kB 2022-09-02T03:35:23.960000 ... 202...\n",
+       "  * y            (y) float64 71kB 1.106e+06 1.106e+06 ... 1.017e+06 1.017e+06\n",
+       "  * x            (x) float64 79kB 5.548e+05 5.548e+05 ... 6.538e+05 6.538e+05\n",
+       "    spatial_ref  int32 4B 32648"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Tiến hành tính toán NDVI\n",
+    "ds1 = calculate_indices(result, index=\"NDVI\", satellite_mission=\"s2\")\n",
+    "ndvi = ds1[\"NDVI\"]\n",
+    "display(ndvi)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "84992d28-8e3f-468e-be08-ded511f2c662",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7f975db3b2b0>"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "## Hiển thị ảnh NDVI chưa điền các giá trị mây (chưa fill nan)\n",
+    "plt.imshow(ndvi.isel(time=6))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "72318b60-532a-4f08-a5f7-94762d08a42c",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7f975e1fce20>"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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J8Fi003xrY5IfHXqJmNjlqtFP2Y7QcjWe3NzLWKLMPelriPhIgodIoMlcNNNoog3ALm0DXbSwfRldsFEFF1HwsX2JsGQybRZQBAdR8Gg5Kkt2hoVOmvvSU9i+zIzRw7sTZ1iyM1w1+mi6Oo8kzlFzw+yPrND2NCpOlJTc5nKnn7fFLzFn5dkfWubJykGOxYPr3/AVbF+m7OlkpBZzZg85uUHNDVN3wtTdEAC64FBzw5yMzPBccx9joRKq4FKQ6xTkOr1KDUVwqbthTE8hLFrcMPMoW9f+J0ef4lJ3EEVwCUsmti+jCC43GmliqknHUbk1e4Os0qLp6XyjdBByoAgOs50ciugwqFTok6sAvODuIhYysX2J891hxrQiaTH4eSKiSUSwaPsqSaGDRPC7jYkWhi/x2Y1b8XwBYVPlePQGAE0vhC5auFvGlZqn8Y36EQ6Fl7jYHMDzBR7pv0xeaVCQ68REg7ITJS23iIgmcbFLWmohCR5JqY0u2MREAxeBiGyiCg7T3R4isklKbnOuOYQU9ZnQ1nmtPc6vHXicX3vz+/i9q2+nL94gqpicqozyUP4S/UqVkhOn4YUYUsrYvgzvLfObZ97JnskVbo3PsGBmATA8hYPqOutueLvoI8Pb0lfYdaTE59WbSD4XQnR9EEFwAVGgm5WxowKhTQ/JCq5XK67gywKIIJo+ou0S+0ycnz7xo/zcOx+n6eqcawwwtZln164i70qfpeJGEfGYDK1xtjXMhLj5Hdek78qiC/DJT36SH/7hH+bmm2/mxIkT/OEf/iHtdpuPf/zjf6fXOZmf5/nKQXTFYU+2yGwlS0w3kSQPTXFQJI+aFebO/jmmGzmsmkZ4wKLWCmN3FaIRg0ulArLo8uKV3ewa2WBIK9Ntq4z2LTJdzzEe3+RKqxfHF3l79gobdoKXNsfpCTU5NrREQW8QU0yul3L4togYctE0hzUrScvV0EWbA6FlFMFhr77Cpe4gBblOzQuTkNoMKmVqXhjPFzhtDLPpxEjLLeKiwYoT33rgBcXHRQwuQCAndSm5JknRpOmpZKQWdyau8b+/8T4SsS65SIvlegJZ9HA8kf17l4iJXSKCw26lSCFe59XJUX7j5ffwsZtf4Vh0AcuXWHeSNEWTL68dJa3t4fbUDEf0RVacFGfL/RzNrLBqJLkpNs9EpMj55j7ujkyhCC7vjJ8DoO2rZOUmJ9KzeIikpRYXjUG+XjzMruQmF4u9/MPJb/EvzryTjUaMkGozrpeouyFcV0QSfeatLHm5iYtAUurwucqtHIktc645QJ9Wp26H6BlosNBJcziyyBF9mdeVUf702p28a+QS7+kJOtg31gfpT9QJhW1+tP9FLnUHuJgbAFfg+8cvYPsSrzfHuFrroTvg0DiUJXqjhR0WEFwfyQNPFvAlkDsCX10/wk8PPsuc2UNeavLu1FnCooku2tx28wylI3H+7bn7uPDiBFON3XCizk9OvoDpKWzaUV4rj/DyyihR3eRoRiOjtlAFl3f3nCfZ1+GfvP4efvvKw7xj+CpZpcmByDIxscu9g9Nook3FiVAzQnxt7SC/cfQb1Nww02aBdTPBxWY/vXqDsGhxodhLayXOiSPTvCNziX65ukVd2pScOEmpjSq6rNpJjoeq3BqZ5mvWMeKygSq5tByNZyuT7IqUiEkGm3aUVTPJWKiELlh4iMyYPeSVoAtQBYek1MHzBSa11aAIulEkPOpumB6tSd0J87b0FVxEik6cA6FlAAaVMm1PRRVcJDwioklS6qALNgtulnkjw+HIEt9qHOD22DT/fvEefmXkcSxfQsJDF21E38NF4IoxQJ9SpenpiILPmFak7EbJyY0tKj8HQMvVGNVKpKUOK06KmhvG9iWSW1QrQNPTiUoGz5X3MBCusWRnaLkaHU8NmAY7zYKRoTcSfAaeL1CyYoQli31ynboV4rPLJzmWXgLgfGMQOypjqAoiHrdmb9B1FUpOnE07yi5tnSU7Q0GukRS7GL6M64tI+ERECxcBzxe4YvYjCx6eIDB2eIUlO81BfZmiEyMjtQCouWGaXoiWq3HV6KNkRnE8kaarcyI8yxWznyP6IjNmDwWlhu3LWL7EFbOffdoKCi6/s/QIe+PrdF2Fk7E5bF9iSKuQkNp4iOwKF3ERaHg6vWqN061R/uGRbzGolqm5EQpyjWmzwL8++3bevvsqZ0oDWI7EZKbI7akZ3jl4ic//7T187NijXDX60ASHabNAWDJp+zJtT6PoxGmLGorg0PE0TkRmOXDTMp/uvZW1vx3BF0FteUhdn43bPT56+8s8tTqJ+cU8oYoLBIVXcH18EQQPtKrDyOMen1p4BO/tVVLhLu8euURYtKi5YUaUTYpujKl2H6Lgca3d+x3XpO/aovvBD36QUqnEr//6r7O+vs6RI0f45je/+V+Jq/5HKFkxorqJYSksNlJENAtJ9LAsGSVkossONSPEntgGlieR6m1wZmWAVKzD+maIZiuE5wrQA+89coaFTprHSwc5OTbPZGSdjW6MZ69MokYs3j1xkSudPqKSyb2560y1exjU6wxpFYa0ChcujfDAzZcY0KvMdrLMdrKMhsvs0jZoexoZyebV9jhTzR6+tTHJTwy9wJqdAmDTibNuxPlq+ygD4RoiPg/GLqIIHlNWD0NKhZoXJil20EUbFQ/bF8lJXSR8RNEkhsUfr97HsaElPtbzMjmpyYud3eTkJqdbo9wXv8K4UubJ1n5uC08zKLX4T7s/x79K3M83lvdT2kiQyjb54OgZmq6O64u8OjXOKXmU4b4yt+fmWF1LUW2FiYcNqlaIshHBOt4iJlqI+KiCR8kNYfsSFSfKQX0J25fpeBqLVoaRaJms0uLU/Ag3zDyC4PPQyBVeK41g+DJLRooD/WusNBPooo2ydUBwETgSWaTkxDgSW+aOyDWGtU2eKu9nNFJm04nz+eoJ9oQ3SI50g4eetsKIsslKPom3NexZtxOcqQ1y08Q855cGuCs6xWdLt/LOzHnenTrLz1c+SOgnq0xf7CdzVkCyfTzxrRmSgNyGla+O8PqPjHMiMst1q4eMHHQ1iuCiCC59SpXfOf5lPtV7B9du9MJ6hD+8/k78QYN37L7CL408gYfIop3hT6fvpF4P8+DkVW6KzqMILsfHFhgLb7JsJLkrNsWz9X0oQvDwsH2Jcb2IlPf4Wusgn1m5hff2nsX2JVxEQpJNxYrQlRSMqST7bpnnQGx1u4NYtVKsmkl2hTeYMXt4oOcqVTvCdalARDS5M34dEY9nlndzJLPMiyvjXNro5UhhhZBkUzbDHIousVsNRkN/uXgbt+XmGNLKnOsMMRHaQMLD9UUank6/XKXmBbO5lNxm045RUGosWZntn2nOymP5EnHJYEzZpORGGJPrFKQWbxqDbNpRDkRWuGHmaDg6Xy8f4YGeq4iCh7r1HDB8hTkr6EhdBAxfYUTZpOYF889xqYjhK9S8MBUnii7YPLs0QXashRLy2K+uUnSjlNx48NBVN4PXEEv8x/W7WG4m+UDPaV5rjtNwQgyHyiiCyz5tBdNTeG19CEXyEASfihFhrRvnTG2QnlCTfbE1htTN7Xv92eIexuOb5NQme0OruL7A09V9HIkFNLaExxVjgPDWwaMg17beewgJH3Xr0C2LLq8vDTOcqXIsNE/JibPhJJjU1oCA6vdEkXcmz7FkZ0hkujRdnYTc4eX2bg6FlrB8iYTUoemGqBFh04lzQF8iI7VZctKcSM1j+9LWtR2wbHU3tM0cLBkpHkmdZ9VOkZQ6HI4sEhEtdMFmRCkREy2u+DI/cfgFPn/jJk4WFtkVKnKqNsofXbqHH9h9DtGG5+qT3B6fxkPkcqef49E5Op6Ch8ir9XEiksWt8RnCosmbnVG+P36Gj/W/zKd/wGfhsVGkBR+l6TP0ODw1OklK73LyF57ny395D/EFF9HykUwPVxcRbR88H6HrESm6eH+dYPVIkp53n+Vap8CByErAALhR7opd40xnhJBX+45r0ndt0QX4mZ/5mb8znfz/i6oZYjBZI6EYPDc7QSQcULY9ySZxzWBXrMR8K0PFipALtVivxbGKYaR4m7GJdZY2k0gibHTinF0fIB9rkQu18BD4xuoBBqI1Yuk2Dw1fZVQrMd3toeVqlKwYm0aUmhVmRN/kjdoY45OrhCQLRXCRBJ9+vUZKblNy4lScCLFwcLPk9RYptYvlS6TkNi/W95BUOjyQucqKlaJqh5nu5NHFSQxPYUwroggOfXJwelfxyEo2G27wyOn4IqLg888W30VUMflw7lUyUpuYaHNQX0IRXDa0BDNmAV2wGVDLlL0IuuCQlmx+uecZKjmZ02MjfGbpFj711Qewh038jszP3/kUY2qRv1i9i8+dP04oZpKPt6h0Qrx5eQy1LPF7H/gMbxqDdDyNSW2N51p7OV0ZJqqYVJ0w43qRS+0BFjvBQ2dRSHH32AzLRop9feu8LX6JC9V+low0lifj+CKNts6jm0e5NzVFTF+i4kZpuiEUwWVMLXLF7GdMLfLRnjordoqpbi+K4GJ4CvfHLvMX63exbiZ4d+oM/aFa0N1ZMT63dIJCpEGpG0WUPB6tHuOB1BU27CT/fvUIv3jwGR4rHuLg0Rucjw+Se15B8AL6SnZ8lA0fOyTwpc/fzfgPb+Bt0XglJ07TDWH4Mn1KDUVw+Ej/Kf5aPEFYthAFn46j8vjlA3zDOsS7jp3j7vg1/uW+L/No9RjfXtpFpSfoAt+TDTrnL3ZPMG0WsH2JG2aOa/UebovNoIs2HVWlkGiyP7GGLli8UN/NZHQdRXXpUer85rffw8++80l6lDo1N4wiuKSlFqLqUXdD9ClVzrWH6deqdESNeSPL/vBKIKLyZfZlN1AEl+FklYzWBmA0tMnuiIPnC7R9lYhgsS+1zi3RGU61dnEsMs+ylSEmGdhIHNdW2HBDfLsxyfHoDTJSi36lguuL1N0wRStGv1bjgL7EeWOIihslLJhkpDY2AmUvRMfTyCotrnUKTIQ2OBpe4JvVg+TkJhIeCLBkZ3ARCYvBvT+prTFvZTEkhZzUYNoq0CdXGZQruAg8a+zj1doYDw1fpeOqXLR6yUtNbCRyUoPMlpip7ET5ev0INSvEnYVZmm6I49EbKIJL21OJSwYeIlPtAu2uxvdNXOSljTE0ycF0ZWxXwnAVbnSyLHQzHIouM6ZtMBfL8tz8BIVkg8fN/bxz8BIVM8Kx/Dyi4HHRGNx6+C8zY/aw7iQYVMpkpBZLdoawuiXIki08V+QfDj/JRWOQEXWTnNyk6enbXebLzd0cDS+QlDr0K1VEPGpemKIV3/q+4FByoTPIfCfDtUqOP9gfdLTzVhbbl/jshRP87skvc649TF5tcCi0yJudUUR8kkqXdSeJi8hVo48TkdmtmXWSjNRCFxxOhmf44/X7+eTuZ0hKbSR80tkWN2rB6A1gppGjoDVY7qZIq21eqE+iiTb3Ja6QVtrsCa/z6eVbeV/fGRJSl3knQ0Q0uS09R+NtOtVv9SJZPkrLRfqDFJs/L/IDo29y9Kfm+aXPfozkdQ8nLKK0XKy4hNz28HQJpeUhOB75N2T+avZhhj46g+nJTGqrJKU2NTfCvtAKC2b4O65J37WJVP93oWVpxGSTM8V+YhGDbLRN11BomSo5vcXFah+yGJyodcnGXowQ6W+ytpmgJ9Tk3rFpbh5cIqYaGNcSLGxkKBsRykaEgWgNAEVyuVzv5WxriLhsMBYq0afXKLWjXJwKbpDD8WUSapf5doY3akOYrkzFjlB1IsH/LdrMWXl262vsj6xwe2Kai51BLrQGuSk2zy3R2S31p09BbfD9mTfpU4K5z5dLxzhnDPOXm3cyZfYhCj7mVuTJuhtl0UnxRxv303FUjscXKLlxXAR0wUcXbNadBMdC89wWniYuGuxX17nUHSQt2dg+SMCYHFB8Hxk8havD+w+e4WO3voTtSzzb2Mf35c/xmTv/gp/e9zyfHH2Kj+x6nc++/U9JHNmkT66yZqf4q4VbmLXyaILDYKTKfekpNNFhw04w08yyVEvy3p4znL00St3Wef7GOJ/o/zb9coN/MvoYi+003766m8uz/dw/dp0erUFGbvFSew+Gr9Cj1JjQ1klKHc60hvlM6XbOdEZ4sryfq43C9hxREjzuTl9nvp3mkjHIxVofy90U9yeu8Mmxb3FxrY/NVgRdswlJFi/W9wS/w/QKk9oa/eEaE7Eisu6web+5TUn5AvgiSLZPbNHjt77y/uAg5IY4qAUP1LTUJiZ2mTEK5KQGH+49xa5IiYhkEVcMxgeLxPMtHn/+Jv7xqR9g3UnwUOo8//u+J5mtZvlXF97Om+0R1p0kx+KL9ClVanaIUa1ESu/wZPUAIh5rVpKlzSQPJ88TES0eSF/B9UVEweM3X/g+fu++L7BPX6FfrqILNnGxiyR47FY3SMtt4qJByYphegolK8b1Vp6CXCMuGWTkFnelrhOSbN6Ru8RtiRk0yWFfaAXbkxlRN6m5EQxfYW94jXUniSK65OUmpi+Tllus2GmW3CgNT+e22DRtT2POyiHhU5Dr7NI2OBmbZUAt4yHSI9exfYl1J4HtS3y7M8Gclee28CwPRK9wW2yGDTvBNaOXt6UuccPM4SISF0waXoiaGyYuGnhbHXZabtHwdNqeRk5uUHLjnOqO81xrHyN6GVHwaTo698SuAjBvZ4mJQRFVBIe4aJCTG/xI/gXGomVuj01j+xKnW6MsWFk+t3qSK91+XmuPMxEu8t6J8wyoVWxXYm4jy3t6z/Hu3vNcne3j2XP7eGF+nKudXl5u7mZvZI0P7D7DYLTKff3XScgdDiVW0AWbJTvDmpVEFDxcRBJSh4zUYtVOMWX24RLM9K92+3hpZRS7EVDyY2qR2JbKuOZGtpmPWyMzvN4aIyZ2aXj69iFREV1KTgzDV6i7YSZDq2x0Y3RNlTc6YxTdGB1X42h4gbG+TR7dPIoiuti+xKXuIB1XpeqE6VEa7NeWOdMY5gcTp1EIOmLXD9iGshtBF1weTF9mUClT3mIZ0lKLj46+xp9dvgPxRI33973JuLbBncnr3BSZ567EFAcjy0gE+oBrnUBgGxFNBtQyK3YK25epuyFO5ubxb6tT3SNjJWSkjkP4T5L8i5VHGFfKfPZjf8j6nR6+CPjQzYjUxxWMtEK7R8ZKyniKQKjsUfqDMd7YGOTV9gSGr9AvV2m4OhHx/8yI+B/hu7rT/b8DdUOn7RoMxuuEZQvLk+gZbPLG0iDzzTRr1TihvI3nC8iix/fd8zoLnTSbkShlI8L7cm/yXH0vg3oF+c5g9nl5vZewbrJai5OPt/B9gSPJZVaMJNPtPOfW+/nQrjf4odHXme/NsmlGAYgpJrbnYLgyIckmrbQ5FFriUncA2w/sJ290RwFQBBdNdFDkLqLgc7YzTFpus0vfICm1KTtR4pLBHdFreAi80RjhfLGPF90xquMRDoUWGZKrvNTaw3Mbu7kps8ivjrxMRuzyYmfXFh3lsuKkyEtN0lIHBY8lJ0FaMtilbVDzZHKiQ8eHiuMzb+f43Zcf5tbbptBFmw0rzmioxJBWoV+pkhYNDupLXDH66bgaSdEkpXf5XOVWRvRNPj7yKpPaKi4iWSWwLD0UP4+xZV0oxmNMqmsIrsCRxDLXNvN8YfMED6Yucao1zkC4xsCBGnG5S8MJUbPDLFkZLrcCgU3VCbPaTSALHprkcLlcoG+gRkrtcEvyBmNakSUrwxudMYbVTUYiFeaNDI/0XCQpdZhQi5TcCMloh9vyN5hu5bnW7GEgXKOg1RlQKwA4nsTlei+K6hCNOJRukcmdkhBdH98HyQ4KcPqSz0+kPs4PnDiN5UuMq0VKQpy4aPBg7CIuAhmpTU5ucMUIvH3hlMmpxjjPdSZQZ0L884338xMPPcVhfZF/sudxvl4+wlemDnPv+DSPpM+jCA6K4PH14mFuz8ygCw5/sngft2XnuHlwiXkrtzWjjXEyMsvfbB5HijhkpBYSPg1Pp+npDCplVMHlscYR3h6/yJ+u3UtMMWi6Os8t7uJo7wrrTpIzrWHujk8xqa2SkVrYvkTDC/FI6hyGp6KLNpYvkZMbRIRgxmh6CnmlQdsLHtLzVpYlI03ViTCgVmh7Gi1Xp+XqQDBr1EWLeSuHhIck++iizcnwLG90xrjYGWTDjLE/usaz7iT3RaY4qK3RL1d5onmIZSvDXn2VeStLx9MoKHXeaAd2lrfmmQDrToIbbp5d2gZNV6fjqUSloDAbrsw7M9eCGTQiFSeYPZfdKBUnSo9Sw9iiN3eFNyg6cRTB5WBkmYoT5UN9r1Fxo2zaMXrVGpIQaC4e6LsGfbBoZgiLFscnA4GTLtm4vkBWafHE+gHe13eGuhMiJhk8XdrLA7mrrDgpmq5O11UoqA2qToSpVoG3py9ti9Oajk5M7NJ1FXxf4KFjF/nPm7fyjtRFFKHDkFJBFDyea+6j7EYZV4vk1aDbT0odik6MfqXKbn2dGaOHFTNgn/boa6zXYzwydnnrs9LwEPh88QT35q7zenWE2XaO5VaSaifEj068gih46IJN29O4L3WVkhfm9c44J8Kz6KJNWDBRBRfbF4mIJh1PY1wt4iJi+ArDaonRXJkP9b1GXm4ybRaY0NZZdxLEBIMJdZ2IYDOiB1Q+Sbja7aPlatvCsd36On+7fowjhRUqD1VZeXQEpSXjhEWmvjDJjz+c5N/t+Txfe/jf8Z7IT5F9TkNwIFp08aVAHGkktnrTiIDW9In+WZL/cN/9PHjnOU7E5rjeLaBZje+4Jn3Pd7qS4DNdyQZeTl+kboUoGVEGszVyoRYhzUYWPM7NDXGlWOBcNXj4ldthBiI1mp7OA8nLXG/3kFC61K0Qe/JFbu+9weHCKgADiTqS4NF1FRq2zq7MJs+XJpg3gjlZXDGo2SFissFaJ87J1A1sX8TzBRasLFmlyYV6P6NakfsSV0kpHTJKm0uNPmxfoupEOFMd5OnSJC83JshJTZpeiHkry39Yv4e6E+Le5FV+f/+X6E/Ueb06wr+ee5A/Kd7Ha5URjmSWabkaKkFHP6iWOd8dZt2JoQs2NS/MvJ1mw40iCR5zduC1PdUdo+JJrLthPl29lT+4dD+7R9c5HF8mKhn8b9kXuDsyxW3haRbtDHNOGsNTWLbSPBi7iIiPh0BeaVK04ti+RNvTkPBouTorVoolO0PJiZOS29yXuIqFRGSgyV9duoW7B2YpmxGuGb2cLg1xILLMA8nLvCNxgbsSUxyLL/BceTfj4RKXm720HQ1dsnF8kYlwkaF4lelWnj3hDca04KQ/oa2zV1/hyeoBVrtxLtd6mevmtkQyIk0vxM+MfRvblyi2o5S7Ye6KX+Pp9cngunCjVK0QWb3Frx/8BpYjsWfPCpUDgQ/wrY4XwFUF8q9I/O3Fo8QlgzPd0W1VqoSP4SvbrzmsltBEG120ictdfuTAqxy67zpuzOWvPvMgn3j5I7x3/CwPpy/wOzd/hacv7uVLpZspOXGGQhU8BCR8Op7Kxwde5pure9kT3WDNTnLDzDGsbvJPrn4f50p9/OLRp2l7Got2GtuXyclNDF/B8iV262t4vshMLcvt8WmWjRT7e9bxfIFPL9/KdCvP18rHONMdwUXARWTRzFBzI5TdKBt2nIJcJyka1LwQaamFJtq0XJ1L3QHGlE2O6IuIgh+IxppjJKU2w+omIj5tTyMpdchJTVquTlIK/J4zRoEps4+s3MD0gkNrx1PZtGO82Jlg3Y2w6KQZUsuIgsdVo49Zs4e6G+ZsZ5gTkYApqrlhIqLJhe4gK2aKqXYBaatrjIkGpqewZiUYjZTJyY2gaEsNJrR1VpwUJSfGPn0ZzxfRRZuiE2eum2PFSm3Ts5po89XiUa62e/F8gaTUpmjFmO7mSSltTkTnuDU6Q69aIyabvDd3hvHwJo+kzrNoprkzN8OIUiIhd1k3E7wzf4F92gpJqb2lwpYo2xE+d/1mNroxvlk+SN0NqPaiFeeq0c+zi7vJRtv8YOYU70hd5GxnmDc6Yxi+QlwwORmZJSO1+FZ9P3Pd4HDT9jSaXojylgd8uh3MwPNKkzkzz9tGrnGuOsCoVsTyJepOCMuVWDZTZLQ2FTNMX6TOvYPTJKT21vxc5FuNAzRdHduX2KuvkpdaFOQ6TS9EWDRpejphwcTyJSKCTVww2a+us2DluHajl+dqe3ERaLo6hq8QFk3ankrZjVL2woRFE0VwmAhtcLo8TNdV2LATNFyd/2PmLhYqKTqOQn+4zuD33cBVRZSWR2LOQfmjDB989cdZcpL80e2fQ/xACckCwfcRbR/Z9EEAXwZPATe4ZRn8lsu3Hz3GF9du5nRlGE10vuOa9F2bvfz/LxqNBolEgonP/jJKVEWVHSTRR5VcTEfmSG6F52Z2M14o4SEwu5RHkDzCUZO9uQ0urvVhtlXu3zvFhhHjRiXN/UPXeXZpgn25DSxXYiBcY92Iczw5z8vlXYxEyzRtHU1y6NNqzHZytB2VwVCVkGSzYcYBuCk2T90NU3dCaKJDVmnyb775CI/c9SYToSIv18a5sNbHsb5lHF/kUGyFVTPJoF5hr77CgpVDERwKSh3XFxlUyjxaP4bnC9wUmWdS3cD2g/NU21doexq/v/AOfm3063S2QgveostcBMaVEs+3JwPbhqsTFq3trjAhtZEEn+tGgadWJ+mP1tkdDU7Ht4Rmg/mPE+NiZ5CbIvNYvkTFjXI8NMdfl2/lQGSZ6W4PhyOLFOQ6FTe6/T2DSgVdtFi3k8waefJqg79ZOsZgrEbVCHN3bpqWq1Fzwjw1Pckfn/hrGl5A5cREY1sY0y9Xea0zTsdTudHJkFNbNJwQK50EquhyT/YaMdFgQlvnTHcksNrUx4nJBjdHbzDV7QvoTyWY1+mizdfLR9gfXWXTjmJ6Mocji/zx7L18aOQ0VSdC3QlxujTEh4ZOc61TIK82+dSLd5M7JSLZPoIHjiaAAJLlY3+4wj8YeYNhdZOY2EUXbSQ8Sm6cOTNPWm6hCC6nW6PklSa6aNOnVLnQGeTZtd20n8tz+fd+kcNf/zV+ZNerhEWT3z3zEPsG1rg9PcsuLWBAZq0eJDyeqewlq7WYaeaQRY9LF4YZ2rPBQ72XWbMSPJw4T9MLIQke325M8nDiPDUvTEZq4foi18w+0nKLP5y+n9+e/ArTVoGXq7uYKud5eOgKLVdjRN9EwmfeyBCVTTquSliyOBpeQMRDFdygKxGNbbFNTOxuUcRyEMzQHiCvNul4KtdaPRyKrbBLXw8Kv9mzfQh4S6n8VgDG5e4AtidRsmLsj65QkOsogsuM2cPR0DyS4DFl9mF6CsPqJjNmT9DRejox0eCp2n6ikoko+IQli1sjM+iCzWudcabaBT6ceyWw8OGSEE1MX+JNY5gRtURS7HLOGAIgJnUDQRIiZSfKE5sHuDs9jYtAxw1yAwbUMnHJYMVOoQju9twyKbV5rb2LHqXOhp1g3Yqz3Elyb+b6tuWq46mcbw7Sr9dIy23qboghtUxBqfEzz30EPNBSBg+MXqeg1dmtr3G12883V/fyi+NPs2AFVsLz3WGeLO1DFR1+rv+ZoIh5Ib5YPM7Hel5CF4Mx0395mFixUpyuDPNAborE1sxXF2xmrTwXOwOBIA6RohFjMBwcJnfr6xi+QtWJEJUMRtRNik6cuhvavgff+vz6lSqK4GD7MlNmL0mpw6S6FligxC5vGiPb7AfAHj1QvH+tfJQPZl/nheYexvUidTfMsLpJ21P5avEofaEGSaXD1+cP0GyESCQ6GJZCNGTiuCL1WpiR/ywidRwEz0dZrbLxQD8f+oUn6VOqnG6N8tyfn0Rpg6sCYtDxQjBGiq64SJZHJy/T7hVpD7vsH5/i8Xf8R+r1OvF4/L9bm77nO91crEWnrZEMGTiuyGYjgulI5NQmD++5xIM9V5AEj2PjC3z88KsYXRVVdBlI1zgwukLXVTiUWCEV7vKt+T0cyK3TcVRWWwkySptdkRIJqct4tIQmOoS2aKKmqxOTDVJqhxfWdvHVuUPk1CY5tcmF9iAznTyK6HK1VeBap0B6d2U7kQZgMr/BzYl5smqbPfoaD6XOM6BWWLVTrFkJYpJBeove83yRo+EFTE8mI7WoeRqa4GIhkhYNMlKb27JzAFi+RFrqIG7ZLobkCrYvoYk2+7QVToRnORaaZ49SZM1KYPgqTVfn02du4TcmHmN3tEhUMrkzfJ2EaJKWWmTkFptWQKFvOAlG1E2W7Ax3xK+z6cRwCTrIS8YgObmBJPiMqcVtv2/H07jeyvPE+gGOZlZ4fWaEqhHicHiBu2LXaDkqP3XoBV5o7iEimjTdUGAVMbO4W6KdXdoG+0PLFLsx8mqTmUaWd/ecx9myUwA819yHhE9eblAyovRrNYaUCieic6ybcWJil1OtcT69disPpi9ieAoJuUu/VuOQtsIPj55irpvjbG0Qx5P4keFXmNQCtuOx5QP8y7d9nsrBYK7rC+Dq0M0KNIZF/K9k+NOLd7Jkp1l1UqzaKcpbB5AxrYhIQMWN6JsMa5tbM8cQu0PrfHLXtxh+5AbD/+n3cF5O80ePPsxvv/4wx4YXmVrL8+cXb+dCdxDblynINUbUErLo8thrx5gvp2nbKvcev8xPjTyH64t0XQXDV9BFixG5TF5pUnLjGJ6CIrjERYMNO07T1TmQXePl9m46nsqtyTkeHrrC3tAqeaWJhE/dDZFXm/QqNcKSRV5pYHgKq3aKdSdBUuqw7iQCqlG0MHwFww9o6LTU4nBkkV3aBjeFbyDi06PU6XgaYdHkUGgRzxcDulmwEQWPEWUzCOgQHFquRlpt07fl73QROBmepemFqLkRYmKXa50eXm+PYXgKM2YPYdHE8BUySpuGE2LNSNBytG3Gp+OptB0VCX/LM6ozbWdZcRMUlBoFqcVFc4BJbZWCUtuaKcq83hpjw05wcbWPP5++jZcquwJBmxeIGeetLBPqOvu1gH52t5iJAbXMhLZOWm4x18piuIE2QRUcNu0Y1zsFhkIVBtQKK2aSrNziVGOcV1sTnNw3ixBy+ejk65yIzfJA9DKq4LJHX0MSgveVkLpb7FOKd/ecpy/U4JX2BG0vsNj8UM+rJKUOX68d5bHyYa4afRiegukp3BqZ4d7cNTTR3j70iELw3BjRNxnRy0Qlk5sTCwyoVRJSl46nERHNbZr+UncAXbAIixa6GFDNK04SgLAY+JjbnsagUtn2iOuCjYTPuLrBH716P2m5xaKZJiMGoqoPZl9HERzCksWilWGum0MXLepuhMOJFZJKh5ar0aiGuWNihhO9C5htFVlyyUdb5HMNFj7qYqVUEATcVIzs2Qaf+sw7ONUaJyqb9P3gPJX9QZEFEJ3gj+BCJy8h2h7JqRahos/wYx5zj41/xzXpe77oxlUTUfQJyTb5aEAnA3x5+jA1O0RWbnA4tcKHC6fYtKMcHVpiMrpOSLa5dG6Ea5U831jYT1Q16bY0DFfm6kqBgVht24/3ZnMYWfToURrYvkjdDjHdzLEnHPjXMuE2PfEm31qZpGTFiEhmIJxoFrglOUfFivBj4y8x38ngInAgtsrbs1fIyU1ujc+wZKe5ZvTxZGU/FSeKKPi81hzbChZwqXlhvlY+woOJi8zbWUpunFU3hi64mL7EkpPm/thl4oLJqp1iyUnSvyXCang6i06aEbVERmqTlDokxS7PdyaISoEZ/ve+/Qg/e/w5huUqiujS8VQMX6bpK9TcMAWpQUgKbsh1M8GVbj/pLXFH3QnxofSrdDyVhNTB9mX2q6skpQ5zVh5vS9zzo70v8u7e8+wKb3D/5DVGEpVAxSi1UASPTTvKK6Ux/rp4C9bWQSOrNElKHTJim4Jco+JECcvBDf6LI4EXMCxbDKplFMFhj77GsFqi4ercnb3O3ZEpkmKXsGCiiQ6vN8c5GF7m0movHU+jT62Sktvs0VcxfJkJdZ1+rcaNSpqc2iQimjxeO8wT1/dTaYR5pTnBL7/rK9R2iXgK2NHAuyu4YGQFUk+E+Y/Xbwse8Fum/qTYwfVFNpwEJSdGTDTISUEwQVIKHjISPj858BwPHbpE/u3L6HtrUFO58tgemIuQ+WaIz33zLv5y43Y6nsZLrT0klS694yV+/eA3OJhaZXdkg5obYZe+TkFrMGMWaLohGr5Gj1JHF+xtf+6KkyImGbiIpJU2ri9ypRX4EbNKk5ITIyyZPFfezZKRYlQrEhaDMIS3RD0BBahRkOrs11ZYsLKc7wzT9EKcaw2xYSdYsHJERItVO8WcledwfJm6G8byZQpyfZv2tX2ZFScQCk1bBSpuhKIdI6UEftm4aDColrdFUhmpxYzZQ1LqcFNsgUPhpeCa9RRumHk27ASa6OD4IvuiawzqFYpujLan0XFV7kzNAIFwMCl16JdrxESDphtiyUlyRFtixUkRESwm1CKDSpl7Ylf56tIhHhy/iu8LZLQ2+/QVBtQgNOZic4D/Y+U+vlq7iT6lSkGuc9ns54aZ5y827kIUfOYraXpDDVTB5Wq3jwOhJd6RvMAHEm8EAj6txqBapmqFOBBa5gfzr5NMtrnS6iUiWkxZvRiewpPVAxzKrDJj9KAKDqrg4ngifzZzBwAeAkt2hidrB4mJBkt2hq6rMlvPEhYt/nLlNi60Bmh4OmNqKZjPb0Vrnu8Ok5ZajKibjGkb7NbX6FOqHNSXGNY2SUhtrnYDhiEqGYxqJQxfZc1K4voiC1aOC90h1uwkHS9gAt4K2igodRJb1828k+G35t7Jx068zKBS5mB4mVc6E1s5AQnWtwo3wKFo4HG+1inQo9Q5VxtAEx32jqxRMSM0bZ3J4TXapsr3956l0gizq7eE8LNFWgM6dkrHyIfJnbd58c+O8+TKXh7MXeGHH36O8t0WeCA4IFpbIRuAHZGx4xrJ6x26WYnQ5ndOGH/PC6nyeoPx3ZcJSTbXGj0kQgaH0iuklA5Pr+0B9jEe3kTEI6u0WGyn2LSj6JJNZKjB5nKSnqEKy/UE+4bXiComPiCLHspWuo7nC5ieHAhjlDZNW+fm5CLXOgXm6lnWywl+8ejTvFYfJa222TSj3DE8x8uLozyQucp4pMS3K3vQJIec3GRSW8PyJUpOMAcdU4tc6A4hCT63Rab5x1d/gGojzOV8L/945Ene6IyyO1IkLhpISnk7i7W5dcoekcv8zsrD/ETvt4OUF/gvTphlAM4bQ7zhjpGQO+zTVlg0M9wfv8w/vf4e3nvyDe6OTKEKHlHJQMLny9WbySht0nILQ6lyV/waEj5joRIH9SUMT2FALfPo6iFG9MCqkJMDscHL3V0c1IMbZd7ObolxdP71qw+SzLb4yd0vcERfQBdcnm7t477UVZ6u7uNDg6/zb6/cS1wxkOJ+cOBww9s/U0wyEAUfw5cxfAXPE7ktNUtOCv5fwws6vKcqB3gocxEAC5GSG98KdLD5/OpxjgyscLnTz/7wChIeGbHNs6193OhmuVrtIRXu8jezRznQU+BysYDTVtg9tsamGcUOSSRv3aCUyBFeBdEOblRXByMjEP2bOL9y1/v5p3c/yoxRwPRl8kqDMbXEVaOPvNLgvDGELjhUnAi9amAvkvA5FFnirvi1YPa1z+KxymHe+NuD+KJP+jJcaE0SecTitdVh7hmcwfMF/uPyHZiOjCb38r7eM9i+zG59HduXWLVTtD2N60aBW6MzuL7Em+2R7fmUKHhU7Ag3yhkOpNZ4dO0wA5Ea78qc4+vlI1TNMLemAwZlSKlQdyPMmXnCUhAEogous3Ye25eQ8Pni4mGO9yxySyyIOny9OcqinCYld6i7IW6K3KAg17fv3beUrppoExO7tD2N061R7olPUbTitByN96dOY/gKK3Zq+yGekNrbMYjT3cDXP66XuNAaoGREGYpUSCkdIpLFHdFrqLhct3qCe8INuuwnGocY0srcGZ5GwaPkxgiLJjU3vM0SveXx1QWbkhvngb5r5NUG7V6NpNJlyuzF9BQKSp3xcIn90VXWrASrdoqvlY8RUwy6W0PCjqfSm2hwPH6D11tj6KLN2c4IP5B4k3PmAC/Ud7MnvMG02cND2UuB8teOcm//NBOhDWJil5IT4/X2GLP1LCPxMsO6zaPFw2S0DgN6lWolitZn4/oiBblOJGryzXrwc94Rv87eyCoR0eT+/BRVO8JvXnwnhwurvCd3hqITQxUcEINUK9uXGNM2KTsBW/NaZ5zDoUXaXhAocroRPOsmQ2vExS7ZrZHJoFJm1Ulhbd2zgYvCDmh3scOSk8BD5PXWGD3hJofDi8xbOZJSB9uX6JerXDQGSSod8koDzxe41O5nKFlmbyTInM/pLUxP5scHXuBsZ5iztUEq3TCWJfPvr9/FaK7C9/eeZdlKs/gLFa7++X6Ujk+oaCNZYH8tx3M/tJuJWIkfOfYyf3PuPjwVwms+nrLV7eYktIaAHBIRHeDvsMjue77TjckmN0dvEBYtTqTmOZJZ5ls3Jum4KqPxCi/PjvOluSN8o3qYqVaB65t5TpeG2BtbJ6qbhLId0qEONxWWyekterQmu3uLHI0v8cUrN5GQuqSUDiP6JnUnTNmOcFfqOjeH5xjUK9xTmOYH97/BG40RdkeKmJ5MUulwPH6DT+x/Ec8XGNVKTESLW8kzMT69cRunWru4bhSoOFH+dPkeFMGl6yoogsPmcpJ4tMtItLKlBE3x9tjF7ai7t+xHb6kAz5mDDIaqzFs5cnKDabOwrVo1fIUrZj8T2ga9ao0xtUjJjXNP7CpTZh/jiTInY7O0fRXDl7A9mazc4MHERR6OXdjujspuQJlNqEFizqUtX+5tubltCjYnBelRObkRzI6EgNIeVCo8U9uHErEQhIBWqrhRTnXHWDGTANyamKVox7ltYJ4etcGylcb0FHTRDtTcbpRBpcwP5N9k046xX11nUCkzqa1x2RxAFwJVrSq43JGcZlJd26b4zrSGOaIv8pW1o/xvAy/xyb6nAHi2OklENHmxs5vnSrtpOhofHT7FkcwyvYkGDUsnHjK4afIGHsK2/SmhGUTG67QHPXqfrxNfdAiVfNJXbSTLp/CCyO888R4OhJYoWTGSUgdFcDgUWqTuhsjJzW1aMi52MXyFdSdBTm4GCU6Cz7qT4MHUJT74kWepvL2LkRIIbfic//ODdDsqT7x8lM1qjLqhMxCtUTd03myOcLo1iusLbNgJopIRxAZKBl8rH0UXbKKSSY9S53Kzl4TUZV90lYd6L3Nz7AaHUitoksPLzQkisklEsbjRzRERTV5pTzDdzbNqJklKHSpOFEVwWbbSPFY6xIqZJBdpMd3IkZebSILHsF7ZmsmFSMttVMHlfHeYpqczZ+WZt3Ns2MltAVRebqCJDuc7Q4Qli4JW54nmIdq+yqYTY8OOo4k2ccngZGSGRTPDG6UhjkQW6Xgqw6GA+ajZIVJym7jcDRTJXgRdtLF9iU0zwqYTQ8IjJna3D67FLfvMmFpk2ipQcyOIeBi+wqydB2BcL/K11cPMNrLcGp1hxUwhCh7nO0Osmkmars7tsWkqTpQ31gd5cXUMRfAYD28yb2QR8Vmzk1xvBa93R/QaLgIxscvHsy+RkDpcbPbTr1QZUTYZUUv0azUg8CJfaA+iig4fHnqN8fAmUcngHbnL/ELP0wxrm0QTXZ5bmaBsR/ha+QgX2wNMhlZ5pT7Ope4A42px28usiC59yQa9ep1lK8OmE+dyp59xdYO2p9LwQhhb6VzjapEDW0EaEdFkw06w2E7x4vp4wBgpVWKiQWzrWu6Tq/QrFabMXq4Y/cxuMV4QdL1tTyMhd0koXZJihyP6IuNKadsiWdhiZjqeSlpucSCywhWjn6TUYZ++wr3JqzieREzscnvkOiI+Q/EqIc2mUYzygb43SEodepQGdyev8/DPv0BtQqRTUPBF0Go+i5/ZRdGM8djyAdonOrz9g6cwkwKZf7BE9QEDMy3Q7pHoZmS6aREr/p1X3e/5ortiJLF9mazSpO6GCIsW6VibhqPz+uIQvitgmnIQVhGqYdsSm/Uoy90Ug7Eah3pX2WhFma7lKBnRQI2odoP5SqqJh4DhKaxZSSp2JOh0PZ1rZh8x0eBoeIGwaLEvusqQuknXVUgpncBL6ykkpQ7n2kPsDy3Tr9e43OrHcGXCksXlei89Sp2ZjSzPFvfwxvwwr3V2gebSbIUwPZlX6uMM6xWank7bV7loDGw9oAPl5VtFpeGEGFQCRWbL1bna7aftaVtUoEVaapGXG+iCzYS6ztnuCH9w9gF+s/8xNuwkni9SciMcC8/T9IK0maIbxdrqWGxfClJrvDAbdjDDK8h1jkQWtgUk606CtqdtC2zWnQRLdoa/3jjBXDNLJGQxkqzweO0wf7pyDx1PpeVqJKU2+7VlElKXpXaSw+FFRMGj46kkxQ7TZmGb1kxKHVa6SVacOPZWx3uuNUTD08nLTV5s7Kbuhim7EWpemBUniOL86/JJ3t17fjvi7x2JC4yGy3ypeBN/fvEOTmbm+UjPKxTkGg8nLzASrbA7XmRfagPPF6h0gt9Hr1pjZi3Pid5F/vlDf8P1H40Sefoy0VUbfbWJLwq4ikDymsDPv/AhBrQqq3aSBStHXDRIS21GlE1OhmfpVWuUnEAN3HRDNL3AVhPM41xW7RQDaoXfu/nL7P3AFNXDHuGyS+9XVMIrIm5Zo9HWadg6A7EaEdmkaMR4vjbJ+cYAf718nBfre+i4Klm1tW0DudLpQxVdJrVVhtVNDoSW2LATALi+QMWKULNDJNUuSbmzPTMHePrG7q1DRBAQsWYlGA5XKGh1jqcXtrOfa26YtNyi4kTJKk3CooUiOAyqZdpbM92iHUcRHIpbn4HlS9wVm6JXraEJDmmpjYjP6+1xBtQKvWqNfqXCtNlDzY3w9vhFxhKb1NwwPUqdsGhxILbKbYlZ5o0smuhwpjvKFaOfI9oqU91edkeLJKQOWaW1vWlozkkzom6iCzarToqIaGJ4QXa4iEdpK1px04lxV36Gu3ummbey3GhnWOhmudbq4d2pMwxvdYZT7R4k0cOwFJ5dmOBkZJb5VgZJ9HhufTdHEsusGkkyYgfbF+l4Gqe7Y/QrVX6+8DR9cp0+ucmIXA20GPoKL9UncH0By9vypkZmkfCIi11WnDjH9QXuG5xmd6bEe1Nv8t7sGSp2hOdrk/RoTc5UB/nb8s1c6AyhCC4vlcb52MArHI4sMtPNM29kuFgLnmm6aJPZyrPOS83g3raTrDtJ3uiMcro6zG3ZOfan16k4EabMPq50+liyM6iCS0Q0uWL081RxH5t2jKoTwfKlbQHVnJWj46k898wRXuuMowgeNS8UBOB4IfrkKgWpQVpqsWxl0LesaYH/NxDdXa33MGX2oYs2Ob3FueV+TvQukO6tU3fDvNkeob6VjNer1Hjv+16ktltEsnxE10dp+5z/qwO8b+gsqurwSnGU5LtWuTs3zb6BNU5+4Dy1Qw74EKp46Jved1yTvueLbkbpMNXt5UIrsAKdqw0QVSxeXxtGEEAN2fzTI4/zC/ln2K2vo2k27564yIXNPmKySUiyabZC3NUzw0I1xYqRZDBcJaO0+cTYCwB0XYW2o5GUO2hiIIB4srQv8MK6YYa1zS26N8SgXt02c7u+yJyZp1ets2qnkEWP0dAmCdUgJbd5Z/4CBaVGX7rBWjMGqzp/8vTb+aGjr+MDB2MrbBpR+tQq606SQbnGsdA8EdEktxXCsOKkqNkhdkfWA0O/1OZAaJkDoWVaro4u2ltUrs0epcjZ7gjnjGH+4+Vb+ac3fQPDl7gtPM1ls5/cVsB5v1JFF22mrQKv1cd4d/osHTdYr/XZtVs5HAoOGkkxKGAFuU6/XA0oOTfC+c4Qz9T2MdPp4TNrt/Lu3DkkwePWvnn2xdcZ0ct8rO9lXq+NMt/M0PY01p0kY9oGlW6YCaXEQX2Zw6HF7Qzet4Q7YdFkKFTB8JXtm/CR1DleqE+iCA7flzrD4dAiny7ejoJLXmry/ekzLLTS5OQGYdFk3U0wbRbIyi3KRgRVc+hRggPJWyfxe5LBXucBvUrHUemJtjizOkDRjuP78NzsBACT+5Yov/8Q+vlFhLUydkhAdH3kDvQ9KfOpp+7l7sgUe7RVim6MEbVEWDRZtNOMqxuMbS2OWLMSiAQjjaIdR8LbjgHMSC1+rPA8P3fPk0R/fpnwqkFs0cPXPDxP4EY5zVCkyqYZJSQFmgZNctifXOdtqUv0a1Vuj01zoTO4RdmJvLkyyJcqxznXHiYiWAyoFe6JX+VQdJmpWh7Lkyl1oyiii4hHj1LnweRF/tnhx7bV2XHJ4J74FHvC6ySkLm+PXeTHBl5kxU5xUF8KbDpbgpu0vLWEQArmh18snWCXtsGYGnTCcdEIIk6FgNkYUMsYvsKB0DJ3RaeYVNeC1/RFVswUf1u6iT9afoAH05eZ0NY5oi2xS1vfDoW4L36Fi40+niztw/ZkvlQ/xmPXDiAJHh1PQxQ8JrU1Gp6OLtjkxA4TyiauL3JQW+bO8CwDaoVX2xMU5DplN8odkWs8FLvAqpHE9iX+Qc/rwexftnijMxZ0e1KX0XCZT0y8iCCA7wf06p74Bv9k+DEq7TBZucmAXuXbnT2U3KDDntDWt5kizxfoeDJfqt/EEX2BM92RwB3RjfOO5AU27RizVp59+gon9SVebU/wtcYR7olP8XDmArpg8+3GJGUzCOZZ6KTRJZtD0WU8X2Cum+M9vedZtZOcbw8RkczAJRCu81TzIBt2EsNXmLeyzNtZpszeLVGZxzMbe6gZIS43erk7OcXlZi9FO87hyCJrVjKwI20tSUhrHcb1Iq4vMm0VmDN7aHo6E9oGNzoZ7r3/HAmpwxljKNAZiAbTZgEJH2tr1p+WW/QrVTquhuEFUZ/XzF5sN+h0X21PMNPI4rkSdTvEnX1zDKhlGo7OLm1jW1jXcHSOP3iJ6qSAJwkILqgNn//0+Qf55QPfpFSNsV6L8amLt/Ghwmu8I3WRf3r3o4Q+soYVFf5OlfR7vujG5C7PLO8G4FxlgBubGe7MzXB73w3sroJtykREiz8v38HfrN1Eu6Xz0sYYyVCXZy/upWqGmezbYL6T4bb+G6iiQ1i0+HZxghmjZzvUAiCvNuhVg0jB1UacNSuJIji83Jig42m8WJ3gVGWUjqsiix7VLTq6R6nzSnWco+EFskqT67Ucr9VHsX2ZL2/ezB35WRxHQrThXXe+wYYZ5+cPB0rUg8kgN7fmhpm28pScOGNyhaanYvsyT1f38RM93+agvkzNC3PGGNpWLoqCR1gI9nkCvNjdhesHgot3TVzC9cVteu2txJeyG936eiDl/0juFSKChenL22H2EcEKaChfxfNF1K1c1mDTjMWB0DKmJ/HTuedIaR2aXoilahLbk7grOsWEth50Nanr3Je/xmvNcU61xvl2Yy+7UyV+bfHdFJ0YiuAwb+coOXH2aKvbFo/bY9e353uDSpmk2KGg1XmptYcrRv+2mvbx+mEerR/lj5fv4+b0IhL+9vaQffoKfUoVTXJ4ZPQyi2Y6mBNaGWJil365yntTb7A3tEI+1KTSDZOIdLnRyXJydB63ofIXi3fQG2rwwM+/TPUvY5BPb282EfwgLjJ7Fj725se3BDtBmMmqE3g+m14Id6vTSchdNp04fUqVrBwIyGKSgYjHU40DRASLSW2NTwx8m9ZwCDMhkHtZxnMl3jl2mRF9k4lIkaajcTx+g33RVQb1Cm+2R3muvIfXW2NcqPfT8VS+P/0GP7b3ZR67fJAL9X6mzCDMveZGMD2Fu3tmiMkmCa1L2YqyZGe4bhSwt66BFTvoBi1f2goFCexM01aQ3xyXjO1RR8dT6VHqTKprDKrl7W1E3589sy0283yRmhfGRuKiMUjNjZCXm+iCzdnOMIav0PT0bYrxWGQegKVGIpgX4qJtdVi79GD+qQs2eb3FWjPGpy7dyjfX9nHn2Cya4JCQOhzUl7bDHabMPpq+woYbZVLdICw4rLsRam6YUa3InJnnarePc8YwTzQPMRra5EY3x7qTYLqdJ6c2ORae55n6PhasQKz01fUjJMJdfvPwo5zujvKx1CsMyh1+5+BXmO72EJZMPF/k0xu3cbnTT05qEt6a7Td8jdeNUTqeykVjkCfWD7BpRrg5tcCXNm9mf2h5Wz+hC/ADiTeDObtgs1vd4LLZT1ZpEVcM6raO44l4vsix0A0mQ6tEpWCr0VSrlzOVQV7aGOO1UlDYNdHGRaDiRLftf3m5yZKV4XMrJ5BFj3QoYPLqboT35s4g4rPhJDgaDg73s3Yu0F64MkU7zi49yOMeVkvM21nOdoZ55ZV9/IPMa7xQ3Y3lB66MC91BYlKXFSdJxY1uz4hdX2S+m+G52t7gAKOtcUd+ljdao1xs9lNsRNFDFp4fZAbERYNhPQgJUQU3sKKZMTxf5Cfe8yT1cRFhK+QmfsPjMyu34jZUrI6K21RoeCEyUouc3ODXxr/Oro9fo3xoh17exroZJxPpBLSLqWN2FepOiMu1AgdGVwhFLH7p9Pt4rTSCKrnoIYuN6SyeLxDLtbi41EdGa5PVWlStQDixbKTI6G3CokVWbpFXm+wJr1N1ImzaMa42C7Q6GmtGPJhpaDXCoklEstgbX2elm6Tp6FSsCAWtzlc3jvJ9uXM8unmEeSNLqRYlqXQ51xzE9kVm2jkGUzV8CX4s8yLDoTJ1N8SFZj9h0eJaq4eCXOfN9ghnO8NM21n+bOMeTndH+Xj+RcpuNMjVxSMttWhued/CohWY4Z0oc1aeiGjyNzeOIok+d8enggeok+L59iQPJC5zzhwgIpo8V9/LG+2x7TnMlNnLTeEb29TsW+IICNKFYqLBtBXMkUfUTZJSG0Xw+M+1k4xsBcMbHZU3NwaYs/IYvsKb7VEmtHUOhJY4GFlmMrSG7Uuk1TY5vcVvn3+YeSvH1zcPc1BfYt7OYfsSK06KFTvNhc7gVrRgnnPGMGHR4pn1PUx3e1i1UhyLL7IvvBosapctKnZkm/5+y8v8lc1j/NjAi9wevc6mFeVTG3dSUAJV7VsKasNTuCM5Q1+0jmnLXKvlWW4lAbi/5xrj4RKToVV+adeTuP+ujZERt5ZpCwh+sJ0o/M0YH3rlx6l5YXrVGg1X54oxwLyVZcYscDi0gCK4ZOWAUut4GpLgIeExZ+W3P/OwaPIvrr2TH/r1b/DOn34BJwyhcyGeW51AwueptUmGwxUWzQwnw7P0KHVeLY6yUE9zpdGLLtlcbfdScuI8u7kHQfJ5IHeVC+1BXD+g79Jyi92hdTTRwXAVDkSWebM1QkwymDZ7gmg8pcob7dFtdmPJzuD54vaSg7ITZdPZWjgvGeiCzfPtyeDhaWeDABXBw/Zlml4wfw2LJjmpyaBSYUgp09hK0dqlb1B2ohTdGH1KNfCaIvLTvc+wJ11iXCkxotTwtvZPx8Qucclg3UnwC/lnuKdvhr5MHUn0UEVna0ewxvnuMJ4vUnGjxMRucLCwCpzqjrLgpHijM8a8kUUS/G2P9VuK3aIdY294jboTJq4YpJQ2F40BZhtZHl87wJcWjjKzkaXciLBgZZHw2XCjfK25n6+Ub+JkbJaT4VlsXyIiW9wSnWXJSaMLHqe64wED0RpiQK3y6MZhIorJ3tg6HVflWHyRjqcRFw0AnuyMse5GuTN8nZjYZdbOc90IXA8R2eRIYpmoYrInvsHPXf5B/vPKLYzom7xeH6FHa/C2nilO5hfoi9YJSRYSPpdb/ZxuDG+tRIywYqdYNDOktA5DkSqHEivIgsertTHCosmeLa/1W5axVTvFiFLittQcUclgXCkyqa1xzez9PwVWcZek2OXtmctIeEybBXqVQEV+zeyl6MS2Zu4hrpj93GhkOBxbok+pbqVcSby0OkaP1iAV6ZIId7m8UeDm8BwvtXZTd0Ocbo0xs9Vd742uM1PLsmHHSd21TnMgeLaJLtQ+O8B9R67QW6gytmudp8t7g81CZi9NL8SPFZ7n/fe//B3XpO/5oluxIhxPLxCTDUxbZvfABqc3hwG4UUlzpLCC25ZZ3kjRMHWSkS6xoQYRxeJQfg3fEUkoXTJKG8cTWWknWWonqW4FXE9380Hx2ipkiuhwKL7Czx58nh6tSUEJMmMfLx3k7uQUQ1qFPdENdofX+UjuFa60+rgrE+S2LjZTfGNhP33pBpdrvURkk5oVJiJZ/FD/KX74oedYd6O8M3aehW6G9+feAODHC89z1ejjSqOXXrXGU7WDKILH8dCNrVxdg7+pngCCbNLACJ8kspXkoggOli/xR7P38p6RCxzOrhIXDUaUIMihR6nTL9f41NLtNDydE7HZ7VWEAbVUZ1wpExO7jEQqWyEIwQ7VMbVI2Y2wYSeouRFKTpx5K8drq8MsdlM8sbKPTy/cQn++huOJXGoPsGKnOBQO1M2TyiaWLxOTuhyJLKKJDi8ujqOqDp9fPU5MNnmqcYCny3spyHXmrBx5ucGameCr1Zu40BkkIpoc0Jd4R+8VIAgryMlN8nKDvNrkl/qf4N2ps4yoJZpuEPL+t7XjRORAVFJxo3w49wr9eo1/Of0O3uiM0fRCrDsJXqzv4duVPdyRnuVtg9fwgaXZHMgeX1k4RFZpYviBXeXu3DTjH7xOZf9/Ybb3QTIh802dn3nxh/jEnueRBD+YZVqBd7bmRrZW0YUouXGiW0ELb/kbe9U6s1aeb9SP0Dib4SZ9nruiU8S/fw2l5dN9Lsffrhzl3sI0NTuMIro0PZ2KE2W9GmOzFONGNc31cg5NdLjQGWQsuslEX5EJbZ2PZl7mj2bu43RrjIoTxfAUhkObOJ7IY8VDXKkWqNrBXtor3X6uGAP0KA1mrTxzZg+6YDNn5jnVGOeGmScpdTC8QPRnbinKgyUgwVzsLTV6WDQZVMrk5cD7G/h+29uCnTkreK0RdZMFK7sVrrCBiMdL7T38dO8zWIg0PQV9S+n+VgzkphOn6Sk8vbSHDw2+zm+MfZ2x0CZlO8glNjyF51uTJKUOa1ue6uCw6GD4Cvv0FRJyN1iY0O1hVCtuC4aGtAp1NwgeeW19iLoT5hurB7kpvcjbeqaoNsJ4nshgpsZnZk7wmdkTPNE4xKu1MfJak3PtYSQ8UnKbpqPxTH0fLzcn+J31B9m0Y/xk9nkeSZ3jWqfAsdQSx5JLZOUWKaXN8dAcouBTdqPYvsSgEuQQ17wQU2Yfz1b3MqqVuDUyzfvSbyDi06s32BtapSfaYiJeYlJbZW80oOJjksG4XmJXpMT+8AonwzN8Iv8cD6Yvb28WanpB2tRopIyHwEw7x9HEIieSN6i5YdadBEUrxsvN3VScKINq4JhwEVizkuiCgy7YHNSXWbOSvFQa55dufxwLEWWrgMakLmHRpOxGg4hZqcO6k0TEY97IMhANPNMzZoEznRGuNgq02joNJ0Q21GY4VqW7HmyJeiB2mQG1ykInza6tPPRd+gZD8SoXa33c33uNnkeWMFIC+CAbPi8+e5DSmR6qnRDnn9/NlNmH7cnbLpOI9J1nL3/PF10ATXRY7Sa4b+B64ONULBqGRiJkcG69n0i2Q2++Rlpv0zFV8rEWIj4NW+fA6AqeL6AILkORKv2RGu8qXOBIapmqE8bZStppuYG4pWjFCYsWm06UqGTyamsXn71wgqlXR/nt8w8HySySQd0JB5s/QmUSUodlK81EsoT9ZoqNeoxHCpdQBJe98XWqVoiM3OKOyHXansabxjB7I2vMWTkUweWiMciNTpb7s1OERYt7E1cZCFUpujEqbpTnWnu5PTa9pYJNUpDrTGqr7NNWyEtNFq0sv3vxIX554ps8FD9P21GJbcX4TVsF3K1cw2PpJZpuCFVwg8CBrYdlTOzS9uWt1XEWr3QmmLbyXDQG+DeLb6fiRtmrr2xHAf7h1H1YlsT1ap7NagwfSOpdOm0d05NpufoWpRb4VG/S58lsRcetGQk+Pvkqt/QtbKnJAxotpXZ4rj7J+cYg36gc5vsyZ4lIJkNamaYbwkPkjug1ClpgSUlK7SAwoRN0im1Po7m1XWfWyFM0Y9wan6XtqVzvBtT68egNbumZ53RtmOfqezF8hTsT17g5sQBAj9KgaykURstgifTHGxTkWpCgJXXpU6uIgk9sX4XNky6uGoRoOCEQXZ/CtwL7SM0Nk5Q6HIksoIjONpU/rhY53RqlINcYV4uBelWuEhZNlq0Mz67spvfkGkU3xryV46dGnkN4uIxsQPWJPr524yBvS10iK7douiF6lDo/e/B5PnDkTe4emGFXepOZZo6oZPJg8iJjsTJ/tnIPNS+M44pUrAii4G0Lum7LzHF9Lc/KZiBGWzMS9Ch1+pQqCalNxY0y3Q0+3zGtyC3xWVJym2tG77bfd9OOkpQ6pOUWYcHkhpljyU7TcHUO6kt4W5T+qhME2NfcyFYEao59+go5qcFFY5BBpcIXyyeZs7NBJnnkGknRJCla1LwQl7cK9JIdaATGtCJfrJ3gWGGZPqXKsNzgjsg19oVXWTGTrFvBnuq/2TyO7UvogkXFiXJLaIEJpYSIR90J8XpnnIJW3xYXuojbgk1FcPm1yccDe1Y5wVwny0vlcXYVStw8vIiIT6ejcWf/LDfaGWKKwUo3SV5tcM4YJi52matlaDkqrxZHaTsqYcnkM9Vb+Gr5Jmw/WG4wpG6Skxs8GL0crPeU2hzTlogIAZNl+Cp/WznOv7t2L5rkoIt2EFxhDJKQOxTNGAW5zvsKZ/hw5hWSosGtkcCKlJDadDyVxW6aSXWNpGgGwRVKkZORGfqUKi1X37ZPiviEJJuqHeGF8gTXjV5eq48iix6L3TSK4LBkZXi9M06fUiMmGcw7Gf54/X5+9cp7WDUTRBSLglJnzsozqa6xbAXxsuqWSVYSPJ5vTDLd7aHiRunXqkxEimw6UV6pjvGN1f1sdiKwZeeMq106jkp+tMwX1o+zaKfZpy/TF6ozY/agCIHrQBY81psxHl/az/H0AhMfvRZEP6oCqavgqT7V9Tja/horVoqE3GHByhKTuowo3/kS++/5olvQ67RcjTevB6efYifGbDFLtRrFdGTam2E8T+COnjk+0fdt8tEWpiNTt4IH3Xorxjdn9lK2I3xzdi+9eoPX6sFSgjUjwe7wetDxNXvouGoQKyea7NbX8RAomjH8moq6u4HV0PjUmdu3pO5tLrX7WDZS/NZL7+JcfQDTlTEmDD42eSrYxRleZVwvsi++zpc2j29n9QJoos1CN8up6iiLZpqBUBVja9emJHjklca2+ORaq2dLgNIJlJdb+a2Gr/Bo/Sifn7mJn9j3IoanBHYIK1DKrjtJdMHmhpnndHeUdyQu8GZrhJob5vboddasJBDMed+yAOXVxvau0UGlwlgsELzogs0ubZ1VM0GnreFYMqrkkk01KdWinEjN82OHXuKHsq9ytjFISmlTciPM2imano5E0P0llS4H9WVuT0yz2k5wKBx0vx/IvM5dievcmpxlOFRmzsxzPDrH36zexKKZpuwGs0dFcDnfHsL2ZUTBY3dkPdhDutVlPd+YZNOK8gPZ04womxTkOlmlRc2NEBZNJkNrHEksc7lW4NHiYQw/mEnW3RCnaqN8YuJFfnH8afbuXebh3EVeb49vhWFE+P3Lb2O6nCMTCWh48fs3cUIgWUGKlWj7HP3Ev+Ffv/BQYIUSO0xoQef2FvU9rpf4euUor7XHmTYLvNKZYMMONu9srsf5xPDzGL5CQanh+SJ/sP+LJN69iuBA6q+i/NK3P4AoeMFuVTtBWm5xa3SGPeF1dMkhqXaZ7uR5oTmJiE/NCDFr5bFdicloQBNu2jFuj1ynaofZVSih6TZ1O0RS6QRsgadz3eil42rEZYNrRi/rToKpbi+v1seZavfwYjXIJldEF9cXt73UvUqNsGgRES3mrDwNT+dap7CVydzeVqn2by2hP2cENPCFziCHooE/fMnKUHajND2VdTfCkp1h3UnyansXM1tiraITRPW9M32eIbmKjUBEsDmiL5JSOni+SNGK0asHUavLVoZ9+gq2L7LuRnm5vZvw1o7ow/oi+7UVrhm9zBtZElKXNSvBvJEJZu6Lk5wYXqCgN5gtZrlRygCwN7kefF1tMBiq0qfVGY+UmDeytFydshvlV3c/wYPpy2iyw77YGjHR4FKjj6TSIacGv7uXGxM8XjnIFbN3a4NQ4MZYdNL85ertfG7pBKc3hpjIlJAFl4oT5V8vPcgTG/vJyQ26bnB/3qQvMGX1cqo7FjxD5AZJqUNWbjISLm9lbQsU3ShtX+WF1iTrTpKs3GR3aJ0epUFENpkIFynbEdq2xlw7y0YnTtPR8XyBL6zczBPF/Xxt8RCvNcdoujq/c/0hAD4x8SInYje4PT3Lip3C8BWWnHTwOQs+S3aauNjl1sg05lZ62qoVuC/ujV1hsZvG8wWGY1XGEmV8T0QWXeYbGc5fG6IvWmciWmTTiQcrEEWLdTNBXDLYo69yc2KBfzD2BoeywVKWe1LX0D+6jicHzFT6kkDmtEx7LsFnnr8D01O2xyZZufkd16Tv+XCMlqOjOh57x1bJ6i1mNrI4powo+wiCT7q3juNKvLwxxv7QMouVFEZDY/fIOmHZom2oOIbCVy4eBcGn7Wik1Q4NJ0R/qEbH1fjCyk0ooocYXycsGrxSH+eO5AyjWom6E+Idt5znpZVR5IqMp/j85cVbGS1sktNbnDqzm9CGRH0sxHt6z5Hc22VY3eSZ2j72R1dQBBfPF6hbgVAkKzd4vTlKQQsucBEf05PJqw0O64v8beVmHkpdpGjHuSU0y0VzgPdkzzJl9nJbeJqGq6MKLpYvcbo1xpOLk/z6gceIi4Fns+TE8XwBy5eCfaRAVmlyw8yRk5vUrBAjqU0sX2JIKwfy+9YIP5R5hZjgbAXXe9TcMEU7zk3RedqexrRVYNOO8czMHvBBEH2yoRYJ1aAdVzkRng2ob8EhoXSZ6QTqy4PqJvNOUDBzUoO7ElM819yLLto81HuZiBj4SktOnHPtIR5JnAcNvl47guEp3JWb2ZoPSuiCzZhapOpEWLIyjGkb6IKzXYxrbjhQp4eqwVxR9HERtv2BNTfMoFpm04lxT36a09VhrnT6KBox3lga5A9u/iJtT2PGKPCB3jcoOTGGtDLPN/awaUYxDRUhZLF4agBZgpKXYvi9a9S+3odkBfNdwYWel0T+99pHOHbnNT6UPwUEy+nf8kIP6FV61SAqsOnphCWTnNxEMCQKcp201KHihnFFkVU7xUcGT7H8o2m+9Jl7CN+AP6y8k6N3XCeldojGDJJbm47enT3H71x9B8cLS2yaUeq2zq+OPw7A+8fPcjx0g8tmPxAsls8obXbHiyxWUxiOwvHojWB36tasPyyZTLV7eG/2zLaSfambCq4vV+aN0hDlZoTz+QFSWoeRUJm03Ga6k+dAZCWI/PRCaKLNG40RvFjwuvNGhn6thih4rJgp7oxdo7m1pehap8DByDJzVp64blB0gy5uyuwlLFrUnRDnjSGmWr2MhoPxSdGNMiLWuGAGQqwHopexohJTZh+tre1DY1qRV9sTWwXA4/7Y5e3s76TU4YnGYUa1IgCLVpYnFyeRRY/lTpL7Bq5zPHqDg9oqrxWHyYQ6XC/nWNfjSKJHVovTr9V4triHrqMQVU3uG7jCVaMfXbUJSyY/O/wsZzvDPFY8xJ2ZmYDi1zZ5tr6XexNT/P71t7HRieMhUDd0DmdXqds6K80Eo8kyatQlqXQpmjFmmjkOJle50c7w1dIxbkoscNEYpOOpfHbmOKLgc3v/jW3VclQyiUkGNS8QthXkJhfNfobUMqca4zi+iIjPbYkZTsbqPFE+yOH4EoN6lXUzwUY3RsPW6Q/VWGim6NoKETVgAnrVGpulOO8fPsOQUmbaLHA4tIgu2Dzd3E+P0uBkJEgIW3eShEWTkhMnJFl0vCDr+0JrgJzcwHRlRMFnLLLJpXofTlcmKpkBU6d4HEysUrXD2wK5mXYg6Joz8xwLzRMWTdJyi4nMBm1P49XGLiYSJZ5/W5z4MxEEKwi7yb0Jji4yd2uOvZFVVCFYg/id4nu+062aIU6vDxFVTKKyxTt2XQVf4MTIPPlIiyO5VRIhA8uV+NTiHRibIUTNZU9ig5/tfZo9uSKC7CFIHr4j0nA0Xl4b41B0mRtbu3EV0aMvGvgAo5LBWifBV9ePcL1boF+rsitUpCfWQhhuQ96kLxus+mo5GkLSojvgEJGDizAkWnypeBNvS10K5rxmhpTS5q7MNCtmkqcqBzgQWaXjqtwVm+JoMqDgcnKTl9u7ORG7wbyVpV+togsuL9cnGFE2GVQqzNuB8ONSd4DfuvIwX7t2iFv75omLBsbWYoQZs4eP9J9CErwtA7zCNzYObnn0uvxc79N8rnSSjNRiv7bCbeFp7klcpemFWHHiqFuzuZark5VbjKtFbF/iXHOIhqODL/Afbvs0P374Jd7XcwaAf9T/TfrlBvpWEfn+9Bk+mn05WBLe2ovhKZxpDfNCa5LHyoc5EZnj9sh1snKTb9UPbN84k6E1rlsFDF9hupXnTH2QmGTwenUk6Oq2REhHwwu8XBtHwqdHqbFPWyEjtZhQ1/lQ/hQ/mHqNy90BHq0epexEt8Mr3lI6Hggts0vf4MO9QUFc68Q5MrAS+II9hV36OgDHQvNMd3uYaea4XCqQiLfZnS1y9J5rPPK209x5dIqwYlHf72Ckha1dvOCLAvFZmP70Hn7+mQ9zw8zTcoNOoepEaLna9gYeCZ+D+hI3zBwfuuMVwqKJvnWo8giKbkGpkZA7/H/Z+88oydLyTBu9tt/hfaT3lZVZ3ndVtXd0Q2MaAQIEAgkhN/JCOjOjGQ3SjGakGTRCI+Qd+gYJJED0NN000LS31WW6urzLSu8iMzK83f782FGh4Syd76C15vxhfbFWrV5dEZUZmRGx3/d9nvu5rp/9sa/Tmm4z+lSbmS9NIQke39zc0+27AuiKTY/mk5Fqps5v3ni3P4olGd0F92q1l8+ef5Az5WFicotmXSOhNfntq2/ntao/KhWTm/QrJe6M36ThapieRL9S4u2pS2wL5fnR/td4W981dvTkOJxY5HB0gaOhWUTBZTKwyZVmPwNyiQ0rxkeSb7AzvMbBwDwjap59IR8iMtfK4HoCOTtOyQ7yanGClOK3JI4E5liy/LLkLfjCiLqFIjqsGgkmgnnSnc9MVqpzuj3MsOKrG8tusJO69zeRADcNn2y1YibolSuUnSD9cold6hpFJ0xQMrjYHGJAKTGoFrl7YI7tqTw3trJcrvRxuj7Gqh3lE6MnEAUPxxVZK0ZZWE/x/NJ2nt+cwnQlSs0ANzfSvFKb4mRplJwdo+iEOdMY42uz+xEFrxPaklkzE9wZvcGckSWg2ORqEVxPIKG3fGKTVufhwav8x8EniSpterUKd8RneU/PeRabSXr1Kou1BOerQ/zlzO18ZeEAAdWiL1plpprhG7O7WWolmem0YBQc8naUcsdDvEdfxnAlSoZv6NqvL9F2FZJqg5wR40J1gJVmHFHwOLs2yItrk6QCTUZjRT419h1SSgPLk3jX7gvogs3Z5ihDaoGCE0YUXFxPYN30x/carsaAXCIuNemVK+wJLhMUfeTrVHCDDStOSDbJ6nVOFkb9i7/o+WzttoZUUDrXZ8PnFLT76dWrlI0AiuAwa2apOEEWzTRVR2fRSNOvlVFEh7tG5yjeaSC4vrxE6PR5n//6ISq237M+3Rj7ntek7/uT7vZonk0RZMElIreRcLl9+yw9WpVL+V4G+svsSORYrCeZ20gjRix2DOZYa8XQBZvBYJm3zBFwBH7m+POUrBCDA2WKdoj90RWe25xCFDxuiy1geRJ/dP5efmrvKwRFk5IdIia12LSi3JOZ4Qv527h7202ymj9Q/lp+nKnBDeY65aZb40dvLQ5xMLaMItr+adIO8lppGy1bIaE3WWiniMpt3mqOkpQbbJg+POCbW3so6UGicpthrcBXKocxXImCG2JS3WTZjiPR5umVHQRVi8/sfoyTjQleqO3gnbFz/M3mXUyHcowqeV6o76TpqOwNLvPx/hNdEH5ENCmbQXTBxkHsWn9WrQSS4KejHU9kSl8nKBjdkvigXsJwZaYHcpxoTDKm5XmxPM3ri2MMB/bzUOQiZTdIzQlwRF9GEaDg+CGZl+v+qSEitXkkeZHXa9sY0Mok5To1yw9xbNNzxEV//GjG6OWRzEWeL/o6vh3RHBU70FWJpaQ678u8yYzRS0xq+D1UsUnDUyl2ktx3h6+xaiV4rTpJVG5zV+Q6yU4Ix5+X9cc3YnILzxN4V/q8L+AWLX+eV/QvjjG5xcf7T/AP4m1EVX9Gc7hzWn5b7BJzRg99gSrsh9eXxwg+G/b5rh5IbUifknjs+r1UJ20+ePwUfWoZEY+brSzXmz0cj86ybKU4VRpFlyzUmMuaHWHZStGrlEnLVeaMHpbbScYDeT62/yR/+8ljhC7Di08cxEi5XEz3876d53A9gfF4gT61wvPFaSajeZ66uIfaSICk1EAXLeaNDLpkEQiYNCyNr9w4iBawsFwJy5Lp18pk5GpXBjBvZNkezHGuPcy6GadHqbI3uEzD1dgdWCEoGUxp65SdIKbnn9QdBHqUckc9KFF2AxwMLHCuPcIefZlLrSFOF0d4T895MnKNRTNNTG4xFipgeDI3Wr08W9zJnsgqRTuE4cocCc+jixYxqcXFSj9bcpjhQJGs6pe1U1KdoGhQdXUUwfYv/J3XuU8ps27FudnMsi24yanGONv1XIeG1uy+x3cFV7lm9PvUt2qG1UqM8VSBm/k0liuxYUR5MHmF8fAWVUMnohu0LJlGS2O1EkOVbXqjNcqtAC1H5b7UDZJSnb/bOE5INhmIVdgdXesgMxe6bO6yUuMTI693oRWrVoLbA3Nct7IU7DCGJzEWyPNI+BLnjEEiYou7EjOcrY7guCJXC1nuHJjnSqmXhqmS1JoU2v4Mb1xp4SKw2E6x3E7iIrA9mOPlwiRXQv0UjRA7ojneGTuPIrisW3HWWr7da76cYiBSwXZFZNmhWArRE67xtuQV8naUN0pj3JGc5URujOhgm6BoYnbCX21XYUArcbXRTzDgh+ZGO1W0RTNDj1JmWCsQkdqMKnk+v3k3hivTchRCssl8KYmk+gebiG5Q0zxOl0fo1Wtook3F9n/H26ObPr5Xrvs8aDvgM9/lOqLgIQkuNxo9vGf3Bb65foTUeUDo2IaWPf7qlXv5hXufZiKw+T2vSd/3J90LxX4iisF4aAvXE7hS7UMR/eDTdHoT05XJqHXSeoNkzH8Tt2wFVXT4raV3+73KiAGyyz59qaPiq9N0VRTR5s7MLPtTK6TlKl+cPcxHd50mKJpdRd7X1g7y9zOHyCpVfnTnSZKK75mMSG0GQhXWq1F29uZYqsT5/bcepGiF+Piek5TsIDkjxlwrQ86MIosO+5MrBCSL9bZvGcoqVWZaWfaHl/ijlfs5Fp8nLBmMafnuXO320CYZqeaPQIltfvXCB9Bkm/869RhVV2d3YIUJfZN/LB7haHSOo8FZzrbG/D6FUsf0JJatJHNmhqqr0/YkqoZOULC7LOPHC4c6s7X+Hu7WibDtKbxa9wlFuwMriILHcKjEjUaWs/UR9oZXEEWP17fGKbtBFBx65QovNreRd1TiUtNPCXoSh0Lz7NBXychV3ha77PfFpTpHovOU7FD3+zkdCKo/EmGiiVa3/C4JLkXHtyFtVza7ifOQaHC6NU7BCXd7321PISq1uSM6Q0L2e+Eu/2QsUgU/AfzG1hi/NPYsWx1OdkRs4SKStyNcM/ppOioXmkNMRjaxXYmSFSQjV0nLNXJWnIjU4sWZSd6WuEx/okLxNgs7IODKfrJZcEAreYw95vDcHx/nC7NHKVghInKbjVaUq61+NqwYhi3z5ulJzhlDiIJLXPJFCi4immhRtoJExBZpuc5vHX+c+rhN6pJD6i0BeVFnywxzV/SGD7wQbC6s9bNlhvjU0WeISK0uhKPm6PQHKnxi8gQLW0kODSyTijRo2go/sO08sc5jFRwcBO4MXeeF+g6uNvzw1OHgHNNqjrjU6KTnHS60hik64e64mOXJhDrhsB36Ko4ndnqVEhmxyf3hK/z7kW90x8/6FZ/MNKoXyCpV7o1cJaq0abv+6QbgRruXE/VtvFEeo+0oDATKJBT/34qC7/EtO0FUwR9VUQTbZ0mbWZquxg59jTtiM9xsZmnYGq9WJlk00v6Gpz7OiLrFqLKFhEvNCTAaKfDp3d9gtRrl6OAiu+Lr3Je4xpBSYH9oiclYng8MnWUqmWdv/xqRQBtZchkOlXjbwDV6tQpJuc5LVX/Mq2ZpfGLwNTTR5rbQbNcn+2p9ir3aMkcCC+zXVig4Yb/f7SlMKnkmtRxVT2OPvoKIxzF9kS/kbqdkh2g5Cr2hGkPRCgHRJKk3mEhscb2YYbkUx3UFXAQuFfs4mRumams4nsDZ6jD3pW5wLDzL/rg/zld2g5xujXKl1kfJCGK6Eq4HumwhCh49kToIsFSOs2Imudbq49HsOU4Ux7l/4AbFTmpcFRzaroIkuOzXF9kW3MBFZN2Mc6nlA456OnmFIbWA4wk+e7sZo2wGfLhHKelXE9oSl5f6WF1P4AX8Nh1AyQ6yJ7jCociCX4WqDzBj+MyFPrVCj1IhI9eISw3Sco174td4Y2OUd7/tJPUhEcHxF13BhdSbIp87/QCRzojW93L7vl90FcmhYuqst2MUzRCqZHdwjiJZrU5EbpOUG1zO9xJSTSTJ72Mu1hLsi6+wO7TCVHaTh3ZdwUKi6aq8WNhORGpjuTKPze1jZ3CNxzYO8Z7RS7y+NY4uWIyoW6ybMXbEcziOyIX6EGfKw0wF/dLj6bIvPn7H8BV2RnMc61vE29QQ8Xwtla1TtEK8kR/1YfySTUxq8Y7kBe5O3ODvFw5jeRI7g2ucro5hORI1R0cTbUbVPL1apUvG+U5tD0/Xd/Mz5z6KKtvsSq6zYKV96Llo0HRVonKbmquzYKWpOAFicpOw1GbJTFOxg/TIFXrlGg1PJawaFF292+PZH1lCxUHCp/lUXZ0zzTF0wWJQLSLikpLqfDB+mrIZ4Od6n+P5le08s7WDPX1rHE0tMGf0EOpwX//n0nFeakzzcn2aC/UhrtZ88MKyleI71T30SlXCUpucHScj17hS6+Nqe4Cr7QFWzBSPre3HQUQVbUKiwYSe53xtCMcTuxuDsuurA18o7wB8L+rl1iC6aHXA9iFyVoyLzSGm9HVqbqDbl7w18vJscScJvUlQMJjS15htZyk6YQqdsYiSHeqepJ5fnSSutrhZy/DbM48QEg3+ZvF29mvLuJbEW80RcpUIQkOissumMuXhqP/04W72Kr5e7IkkzzxxhK/P7GGtHuV3932Va41ejqQWGd+76ptlcLpzrkHRYLua4yOZE/6cqtQiLjX4j/c9Rm1IQnAhtAKvvbib5ys7+PmR57nUGMRs+6c3v1xtMWdmKDg+T3lU3+LJ9b2YTYWjsXlGo0Xekz3P22MXSMp1yk6wO//9ndoeZhsZxgNbxKSWDx8RvO4mqeloaKJFUDSZ1HLsUtcYkEu0O1zdvB0lZ8coO37JVxI8YqKBgx/cW7X8cu/J0ljX2QsQEE0MV+bN8jBbRpgBtURSbjASLCIKHi1HIWfECIkGLzWmfFCHp5GRfGVhSDS4PTjTFXUsW0mSUp2FepKZaoaY0kIRba62+3kgepm2q7BgpTldHeNUbYwRvUjejnJH3zw1S+N0fph5I8Os2UPbVRgLbLFuxjkcW2RvdJU7e+b4uYkXkEUHRXTYNCOcrvs/U1at8q7MBQC+sbybOaOHP1+4m18/+yhvloe5ZvaxZvuYzl7ZZwL4qW2tm8tISnVUwcX0RH6u/3liUov/MPAU7+15C1Xy55NTWpOLuT6qtSCy7P8eLVfizuwsk8kt9kdWqFk6m60Is+1Mp8LQ9EOXVoyLzUFEwSOkmGw2I3ieT8/SJJtCI4is+FviZ9anmW+keKm8ndsSCyiCw6HwAmml1uVZFxx/vOdW5eyByGWOh2Z4qzkKQM6OdT3GNTfAwcQypXaAlXocSehsjMMmbkMBS0QJm+yJ+UCYPrXCtVYfr1cmqBg6N6tpckaMPqXMipnoqil953GTzy/dSbkeICBZHH7fRayQv3iLjocdEEi+ovKfnv+B73lN+r5fdEfDBTaaEeZqKWYqGWTBZaGYBCDXjhCV21ScALf1LbJejiIrDlOxTSTB64z+RLgjdZOU0uBSawjXE7iZT5OQG5TsIJ/c/joSLrtja8w10jyYvdZdPCb0TfYEV/jEjjdYacbZE/NLQ+fKg2wP+/KDG/Ws78ZVGnz8/pfZaPsN+d2hNTZaETYu9vCF2aOEZAOpkzqNS03CmsFcK8NMq4e40iRXi5A3I+iifzHbo68AcFvIH9P4/JXjfGzyFJ/e8RR3x27gdAb/n6ns4mazhwcjlzFchTO1MYKiSdPROFkZ51RplFc3JzonO3/edDy8Rd6JkpX8xN6kmqPq6lxp9tOvlLjZ7mV3YKVbfgt1ykaWJzIV3iDvRNiR3kAWHCKywZ3hG8SkBmdbY5xsTjAcKXEwsMC7Iuf54dTrPJo5x8naOHGpyR3hG7Q76re6oyMJLrYndk80c60M92ZnUAWbhVqKvB1hp75CWvVLw64n8HpzsqvV+0T2FU42t/kydaXaNcjcmlHsU30Yhi5YNDwVXfDB+E+XdrNQTfKxntex8NsCA1qJE9WJ7uN36KuMqlvkzQjvGb7EUiPB+3vPsi+9yq+/+SgtS+ZUe4xMT8UfxxE9PNVjfFuOu49fZvRHZrBC4ErgKP7p15MgsOkRfCFM8+UM4F8Y19sx1spRHp/byw2zh6RUR++gOG+JHW49r7wdRRI8Hv3kS7TTApFlh8gcPHnmAH+8dB+vrY3Rny37CFRX50JzCEVwWDTSXKn28q3cbuZu9vLRA6eoOTqHYwuYnsyalehqG79e2M+6lSCrVHlX6jxB0SQl1emXS6zZMdqeQlAwUER/M1l3dF+c4QapujoXWkOIgscb1QnO1MeIS0000SLvBGh6MhfbQwA0XY2CE+ah9BUOBhaYUDcIiQZFK0RMbnF/+hoHo0sMKwXf5KNW2BbJY3sSeTNM3o7So5RZsxKYnkTbkzlnDHGmOU6wM0rin2A9n+EcqJHSG1yr9PBmZcRPeDshXEQarsbJtRGWGwmeXN1N01W5PXKT2xNzZIINBlUfTPJw6Drj2qa/yAguB4ILvD9+hranYrsSTcffBGuijSI4jKhb/Pcrb+NSa5DfnH6Cl4qTFGshPjB1jo/0niQoGiyYaV5rTRAXW2TEJst2tKv9BIiLJm1P4hv1PYiCy4Ohq6iCH3h8X+YsC40UtidimTK2IREPtPE8eH1lFICY0uJsdZiAZDG3meLl1QmW20meXN3LlnULdGJwNDbPofgSALLkIgsuA8EKguBhVjSG4mUeHTzPz/U/z3Rog4jUZpu+Qa9SZkDxe7ZNV/Ndxo7OupVgxUxiITFr9nR55BGxzXeqe7jc9BnyhitzJLPEVHyTcjGE6wmMposIpgC2QDZe52Kln5OlUZ5c3cPprREyap2WqRBT22wYUZKyf40YVX1T2q1qzPsH3uITO95gw4hiODLGe8o4moDg+qhIJyAQnv8nMuH/r9v3fU/37OYQ4TiYjsTafJodh3JYlsRCPUlf0B8nWmokaNoq7YaKrPlas73JNa41emk5CrsjPhrtVl8spPvl44TcZFzdpO0pxOQmB2JLXKv7KckhtUBG8Bel2XaWlNbga7P72duzhiy4bBhRerQqsuiD+4Oi6dtd5D4mAxusmgniags3Y1K/nOTFlsaBPUtdvdh4pMAruQl+Z/ox/uvCIwzFy+wIrVGxgzxf2QnAkeg8z1R28/U3D/Aztz/PkFL0QfNSnUUjzanaGA/FL5OS6uTsGFmlynZ9nS+tH+MHe88Qkdq8Ym+jJSn8Q+423pa5wqSa40dSr/E/C3fw4+lXumWVticzU89ixaUunUgiiyZanRLiEAm50cHwtXkgeZXPXHiIo8MLPFE6wLHITe4K3mDWynRRc0HRpupo7FLXGEoW+HrpII/Ez3cE7BZbVpgpfY2xUAFRcNkXWGJKX+d8c5i8HaEnWO3CF8KS/3sr2mF6lApVVycitlBxOBq8yarqowsvtYao2IGu5WcysEHV0Ykrfpiq4al8vXSQS1t9fHD0TSQ8lqyUP38ttokrLS42BhlPbJK3o7xameQHUm8Sl5ocD83wdGUPAcniZ/b63O4BpchwtETD9r+fEm8zHikwV0vxoYEzfOG9UWpP96JWPPCglRXQtzwEB/Six8Gf/Cy1sR1IbQGpDcGcx4++9wQAT87tYc1O/JM6rRMI0z0LEV/T2D5Wx1kOoDQ9fv7OZ/mjF9+GmDD5yMRpMnKN7xR2EZCsTol/gUokwHwjxZHds+TNMEN6ieV2ksnABm81RzA9qQvR3x3wASd5O8q4tsGqlezSvEKiwYKVISk1kASXdTPGNi1HXGxRdkL0KWUm1A2IwqiS54nSQYb0Iqdb4yiCL2N4qT5Nj1JBEWyiYouk1GSmQ+g6GFliUsvRcDXeao50udVFO0RWqfFqYYK0XidvR7jZ9KUhQcngHzcPsz28SdXWua5n2bLC/gZBNKg4IUaDBXYHVrhp9PB3144wNbXhe6OdAGdKIzw4ch2A08Yw56tDBOMmI+oW96ZgxUyyO7BCUpJ4oz7BT6Ve5rwxwLKZ4pnWbo6E57E8kazq86/DUpslI8XV1gDbUltYnsSc0cOvDz5FuT+Ag8BQB/f4tLWTHrlMXDQxPZEhucqCFSclNjCRWLajjMoVjgZnydtRaqLOtLLFqpHgWGAW05F4ZXYbjiFxfGqWohFk78Aac6UUS60kDyUvsWSmmW1mGEqXKTUDLDSS5KthBoeKzLazlK1gx9QUpj9cQRZc9kWXsVyZuUCKzLYGO6I5ImKbWTPLoFpg1uhhUsuxaiWwPImgYLBsJelXyrRdhVUjjibaXb1fw9WYafWQkH1uc0qqM2dmeH1zjLBqkqv6GwBZcsg3Qgi2gNQSyRWjFOtBkuEmU3Efh7rajnN73wJXKz3sjK6zaKY5EFyk4ITZo66Td4P0dnIciuD3gQd1m/HQFhs/G+XiH+5BsjzCqy6G8P8ID7q34VgJy5H8k2u2wR3RGfb0ryEJLgHJwnYlYmqbYiuIsqJhtRReXNzGt147QEgyWagkyRkx5ltpZNHvU43FfaBFRGrzWn07N9o+m3bVSDAYKHGp0c+p+jgAXy/sx3BlJoJ59veu0nZkHkhfI6K0GdX9EYlbp7QrzX6OxBe40uzHciXOLA8xMbSJJ0Ey2uBCY4gVM8WVZj9XSj3c1z/Dn67dx38Zf4wf6jvF5cYAf/nqPfyvy/uJym2+s7WTl1a28cljr6ALdnfW86XqNCtGgvck3wLw7R5Sk2xHufdI9iJXW/04CNyTvMG/Hf0m96avM6rmu33TsGTgegLn2sOdE6CN2+mvXKgPUnd0pvQ1RtV8F483pBRZNNLMGL38zeLt3Ds2w5HoIu9MnCMqtal6/izm20JX+f3lh7A8sYuarLk6d0Vv8EJtJw1PxfFE9gaXyVlx1tvRLoJSEWzSSo0tK8JHMicZ0/KdYESjwweWuqNRNTfQLUdmpRoRsc3uwDIDWonbIzNM6P5zv9gcYtOJkHei/M3GXVwu9/Gj4ycYV/NcM/oYVgokpQbrVpw+tcyoXuBsaxSAw9GFju3JP0E7iLwtdol+xT/Nn2pMsNUKMxneZDKV592Tl7A9EccVWTJSjMe2GHp0HjPmYyMd1fPLW4IP1vBECGwISAZoRQ+t5nTf+3+5eg9Dim/tuUUfczroSoB+pczHdpzClQQ8UeCPXnobf/mOv8Itqnxt6QAAU+ENpsPrzNSyvF7bxgtrk2wPbxKSTfq1CptmBFn0ZfOuJ/BsaSfvTp1jOuDPlN4q0emC5f/8nddzwcywZKS69CdNtHHxYQ+nGuMcCcwTF1v0ymVUwWFHaI1BtdihPrWwPJkepcKkliMkGvQrJZ6t+2zj621/PK7ghFmzEtwZvsGl9hBtV+F4eIZBtUBYMVAEl+V2ko1WlCv1vi7goWrrJJQmXy8coGCFuGwMdMT3VseepHE8NMPP7nqZpVaSoh0iITcYDJaxXYmTmyO8o/8Ko8EC52rD3DR6aLoqg2qRq+1+Lpkad0VuEBFd9mhrvCt8nbVWjLwd4Vf7vsPBwIKPGWz2cq44SN3ReCR7kSdndzOlrZFzogRFgxmjlxebk6zZEca1DeJiE9MTcREou2q3/ZMSW5xsbEOELiFqSC7zXHM7rifw1dIR5vMpnIYMpkhWr7Ertt5NWSuiQ9EJM99Mc2Z9iNFwkahusC2SZyRV5KtrhwCIK03OlwZ8IYYjMRna5GJtgJlmlnf2XuLfjnyLB6JXeL44zQulaTbsGDGpRbJjLNqwYpxoTDKkFJlQ/GBSr1rFcGVmWj3UHN0HYphBJMHlS8u3UXaCvFUZpmmouJ5AveSf7EulMKVcFE/2N6sj2SI9sRqHM0scjc0xFipwILrMndEbjEcKbBhRKnaQXtnXBlqdpXHBTlB2gn56WvPDoCe2xhgLbCH/8CauBFZIQLK+d4n99/2iC7A9kUcUPCbSBX736kPElDaq5HRl3TVLY09qneTBTfSwiabY/PB9r3A4Ms/7h99iW3CDgGTy7OIUFTvIkfgCK2aSq00/HJKQG6waCYpmsDNXK5JQGnwxd5RBvUzd0dgdWObB5BXuTs1Qc3TSSp1YJ33oeCKbVoSiFeqOKGwYUVTVYVd8nfFDy+SW/V6SX06VuK93hqTc4GBsma+WbuNsfYRnXjiAlm7xm7c9wWwzzVI1wccmTlGxA0xq/g7zXG2YAa1M1dI53xwhb0fI21GutAe43u6jXymRkuo8GLnM2eowAG1PQcLj5do0eTvKmp1g3Yix2QklPVXZT9uT2RVbp2CH6dfLpOW637dzVfqVEjv1VV6o7OCN0hjPFXeQK0ZRBJeMXCVn+Ti3k80JGq7GRaOfgWAZyxMRBZfNjmTB9CTGtDx5O4qDwLi66ZeklBZt198MpMQGc60MQdFkyUpxuTngc3rVAhP6JkHJYMlMc7kxwHPVnZxrD5N3/HLVkFRnVC51F/ohteCzYfVNmq7GY1sHma2k+LGh19ilrRKXGkxrvpdXFy0mtA1fkyjXmdRyOIiU7BBO52N2ujXOsfCsL2CQK/zUmR+mYgfYn1rhndFzPJS+QlatkdVq/MzoC76pSWnRsFSsO6p+aTkvIFqgNPzRBU8EwQal5n/oRdPj7nd9hnse+Qw3vzXBmaa/+XMQiItNVMEhIrW42h7gZrsHxxNZf9hXlGXe8Af9P/v2L7I5n+JPZu+hauvs1Ff5WN8JJjsJzZajkG+HiUhtxgN5BtUSFTvIA9ErSIJHRGwRkVqcbY2yYKa50hpg1uzpLvy6YFGyQ1yr+aecaW2dohXq9kUVwaHhqZxrD3eZx/v1Rdqu4qeh1Q0WzDQZuYbjieTsODk7xqBaYJuWIyK1+V+VQzRcjXUzxqrle23LVpAFM8OZ+hiq6DARzDMZ2OQ3h5+gT6/QK1cYD275XGlX4QPp0xyK+JD+frXUlXU4HTzhiJrnX/U8T96McLY6wt7wMrLo8MMjp+hTyhwOzVOzNYp2iJfy/ijVdj3H6dY4OTvGF8qHWLWjrNgBPpA9w5YV4XRrlGUrxYi6xf2xq+QbIV5a38azhR1ko3VmzF4iYotz7RHerI2ybsY51x5GwiMlNZizk9RctdsDLzhhyq7GzsAq583ejnzEbxUNKEV+LPUal8r9OLaEoDsc3ePPxAYki0u5Pm7rW8LxhO5n4pHRK4wFt3hH32V2BtcYCpUxbJlzpUGCkokqOfSFqixWEpwujXAkusiPZ19iX2Cxm/J+V/p818Z2T+garzcnqTs6SdmveuTsGCYSA0qJ14vjLDRS9KmVjlNcJSobvFEcI1eO8EZ1gqnwBiOJEsv5BLiQztSQVRuhLeIpHk7QZbMWJqSYDGglFtrpTnbDb3sN6iVmKpmuXtKv/PkChJoTYNFMU3MDZOQqE/omO2IbvFEaYyq+ydY72wgu2Pr/Izzo3lxPZCKUp2ao9AUqDMQqrDTi5JshimaI61W/HHW9nGUiViAWalFej3K11su46l9kNs0oh8Pz2LbI2dIQhuuroPq1MsvtpH+RsDXuid/gUq2fmUqG5XaSt2aHuVAZ4EB4iZwdJyK26VdKGJ6M44nM3pr9MxLsCa4QU1osmmkGtBLT4XWmMxtstiPcWOzlp4+/yGi4yJYVpuUoZFWfRzulr/Ps8hQA6T2b/PSuV/iLhbs5vzHAe4YustBOcSi0wMu1Kd6sj/LJzMts03Icj89SsELs0ZfJyFX+5MLdNF2VpquRkuqIgsuHMqeYa2W40h7wZQKtODfavX7fUzIJiQY32r24nkBSbFO2Akxr6xwP3WSnvoIiOGTkKhGxRc6KE5INbkssMB7aYrp/g16twqiyxWzbT4hm5Bo5O871dh+HIotsOmFU/JNbzfWj/Bm5StH2F/tbYYqU0uCp/B6+nL+NP8o9wHIrwUzDf11jsh+Q8j2+NkeDs9wZusGu0Cp7gst+mdNM87XyYZ5pbueZxo7/zYjka+SCosHnbtyH64n88sSz/vy0lfQZ0o0J8naUoh3GRSQqtnA8gZwVZ0ApcmfoBotGmj/N3c9ObZWcHWPWzPJHa/dz9+gsH0u+zkeSJ1iw0kxr6wyqRdbbUUaVLd4VPU9WrdGyFJRXopR2elhhEG2IzreJLFl0MiN4kkBow8HRRKyQiCdBeNnlH/78bVxr9bFspsg7US62B1FwiElNpvR1Dofm+NVjT9PKCqgNl59++scYlQv8+/u/Tulymidv7GHV8jMQU9oaD/ZfZ09ohYFgGQAJj36lhCLaVF2ddyXPd/vlhqvgILI7sNxBqdpkJd/yMqxu8UM9p7jSHuzwvOdQBIcntvYzrBW42B5ixUx2TskmL9R3IgkuU/o6rzT9RHzejjBnZsnbkW7i2UX0x7kElwt1vy+8YiYp2SEuFPt5qbidshVAER3SSo2ao/N0fTeLzSR/vXonA1qJt0UvMaiWWLWS1B2dLTvCopFm3Urw9cJ+SnaIl+vTuPiVmB9KnWB7aIMnNvZ1N901V+fza3cSkkwkXA4ml+lVKjiewOOr+9m0ohwMLrBgZfha+TAh0WBHYI0BpcRObZXtyia6YDEaL6LLNodiS9zTM8MhfYFlK0VWrnIossC+4BI7tdVuBapXqnLN7OvmKfQOAz1nxSjYYVYtH05ysrkNgLzjjwZND+RIJes0bZWapXOuPIggeCzVE9wTv8E2LUdaqyPhsmWFudnMEhVblMwAcb1FsRnwjVPlOLui69zVP8cHe0+zR1/ufn5vLboDSom3JS6ji77oQhEcjgZnmdLW0DqIyls0suFQibBs8PzmFE8XdtGrVYgrTY4l57ljeB7bE/na/D4uL/XhuiK9Az7IZlvPFp7qQScnEdJM7krdZLGV5nRxhIodoN0JVdYdjQd6r1OwQlxsD/mhSalJwQkTFA1EwWXDitF0NWqujii43J++hovAXeOztD9U5l9QXf7+X3THQlv8/dVDBBSbuVoaw5EZDJVpmwpXC1mWC3HOLQ2xthnnwmYfpVqQ/tEtlmtx8naUTTOKg8i1Vj+f3Pk6u2LrgL8TdDyRlqP6/VelSdEJcSw+R1Rrs9BI8YF9Z/03eHXcZ/16CucaIzQdlYIV8sNMdoi1Zox5ww/FGK5Cj+zv6uqWRr4d5tCkn/ArGEH+19X9ROQ2canJStsvffyb6ac5vTXCb0x+gy/O34bpSKTDDbJKld2hVU7Xx0grdZJKg+frO7tjMXtCvu7v5do02sUgTy7u5k9W76PaAZivWkluj9yk1DmFvCN1kb3BZYpOGBe/lGy7Io8/e4wnavu6YIJb9o9bb9Jb1o93RC+wTdvg6/N7KLSCfgjFDXIotMCylSQoGgwoRQ6H5jhdHfP9u26QZSvVTWFanuwnaJUt3mqO+kP0COyLrXZdsSPBIku1BI+tH+Bao5eZepbT9TGCosHF9hBJqcmkmiMu+QAHXbA4FFpgVMl3sJcZni7u4prRx3PlnfzFwt08OnKR96T9cnzb9ceJRtU8uwMr9Mul7gnu1qhRrQMQuNgeomCFWKoluG7089Xlg3x+6U5iSpuf73mOa2YfKm5X0m55EkdjPih+wfI3dFtX0rj3lgmNVfiBD75CfchD3qqjVK3uh90TwIiLXZGCrft6Mq3k8sS3jvGdrZ1UHZ2Y1OLpyp6OGrBF21X912u7ha0JJM6LvNic4khggd/7gf+JsxHgM998D9fbfTQ9jQeil0lKdfq1CgvtFJrob0z26UtkpRqWJ9FwNYqdpPOAUsLyZIbUAhIeouASEdts2VEiYosNy2ccr5kJ5swMD6UuA7BpRQlKRpe5uzuw4ntXjR7qjs6ossW4uknRDnfK2C7+Eu8n6Ou278RdaKa4WvetOg/1XeX+5DWOxuaRO5hDn4MeIKvV2R9fwfVEXq5PM9vOMNvOcrY6TNNVMVyZputbfF7amuTu8DW/QuVEkPDYoa9yLDlP1dZZN2O4nshtiQXyRpiyHeQ7S9Ocqo9ztjFKpaXzZmmYb5b3Mq2tcSw825UBzJpZ5sxstzJxJddLvhomKJok5AabToRvFvfwhfXjXGn2MyQXGZIrTCmbSHjknCi3B+aZMXqZNbNcb/ezYKU7fO4ks20fAgEwY/RScMLcnvYXyI+PnWQy7Pc7e/QavbEaIcXobsTfHz9NUDJZa8XIqDVerk5xMOYvqqYtk1Lr7EhvoAgO1yo9xKUm59rDLFgZ+uUSIn6Q72J7CF20SMgN0nKVhXaab1X38le5u7Fcmcv1fhaNNN8q7mUskGcoWGIwVGYsVKBiB7jZyJCWa7QcBcuVUCQH15QQJYeoamDaEsvlOEgeYtAmmGkwGiuyL7BEXPH1o5vtCBdrA1ScEIrgsNJO8NrGuM959hSuGX1dVG5ManXH8LasCFm1RskO8a7keaZDOd45cpnSuxvf85r0fb/otl2FbT1bFGohVopxGqbKQj3JSLxEqRjGqGsk43U8R6DZ1LDaPhP4aHaRU41xxA40+0JlgJwRY7nlJzIPBBepOxpRudUte5wuj7LQTrMjmmM4WOL1zTF6AjUG9DKP5w9ys+2fbFdbcRTBYbUdp+UoTITzLHXweEHRZMOOYbgKouBxNLVASmv4lpzMZQYzJZYaSURcSmbAL3O3+7mv9wa/cv4DpIINtsW3aNsy39jcS8UJsCe0QsUJ8JVrB/ja4j7czrjFqdo4n114CAmX1L3r/OaOJ8nVI6xZCRxP7G4UHopeYkTb4nR9jHONYdquwk+mX+KF2k4eu3CAPcdusmWFuTdylScqB1m1E0wpm5SdYHds5fbgLHGxxZyRxWgrTCc2eWptF98s7+0suCY32r5WblQusTe8QsPV2LQj7NJ8t+0tXOEtMMXRkK8/2xtY5sHIJfaGVzgcW2A6sM7B9DJpvcGAXmY0WCDXjvJH8/dzsjLGS40pomKbpquRs2PUXJ3Pzj3I46VDLBkpXlib5PJWL4ar0LA1RqNFqrbOhuXLIiY1H8Rxq1eqixYZucao4s9qZqQqk1qOpqvxpaXDLLcS9IcrfGnpMAm9xX/a9jg/kX0Jq1OyMxEJCSYuIpkO77bmBrhu9DHXShO7IfDu0UtEdYOzpSF+6T3fYOGDWYq7/IunHQY7CPUBkU7HhNe/+qtsvatNdVQkOgtrfz7Ba9VJZlo9TAVzvFGf4Ep7gJRURxUc3nnwAmbU7xX/6WPvQO/AUP7D2x/DSVr81cv38vm1O7snlojkZxJOVsb5Uv44vzP/SLeHeKE5TM6OMd7BIjoIPF3ew6v17bze9MusmmhxxRhgWCuwaiWJyU1OlsY6akWVtFwn2Xn/LVtJclas+5m+LTRLzolxxRhgX3CRiNTqEriarkZY8pO/44E8ouBiOhIiHmNanqarMarmSaoNls0Ur5S2EZYMdodWCEq+qOSWNtF2Rfr0CpbrI0/HtDxbVoQjyUVCgq+pu9AapurquPjBpwPhJWJyi1eLE/QpZT7Ue5q43MR2RU4WRtFEm2y4jiranM4P+/Q42e8VxqRGdzMo4SNI7xiepz/hSyQ2zSj/sHmU8xsDVMwAuXbUH1NqD/N6axxdcFi1kqzZEeJSk03LTzCLuCyZaUa0Ld4eu8B94Ss8GrnAkFLk26U9XK/3cK3Vz0wry5uFYebLKeJKk/2JFQ7Gl3EQmDWzlJ1b7TOBby/vYKGeZLaZ4f70dUYSJYKiyR2Jm7xRHOMnBl8B6M5Sr9mJ7vy7Ijj0ShXfCqWtcyQ8x/HwTfZHV7jW6GG16b/Ww4FiRwloEZAsxrQ8fWqFoYCfcn4geZWHkpeoN3VE1WEsUySlN3BckXoh6AsPbJF4qMViNcHF9iBnS0Msb8VxEahbGl9ePsS6EaNgBBmP+fajK60Bmq6G0yG6bVdzDClFHE9kUC2yaUbY2wkJ3mj0cLORYbrne4djfN+nl5caCWbyfewaW2NmI4MqOTiuyPm5QRTdxnU98rkY6Z4qW0txhJDN4nqKlN5AFR3SWp2D4UUScpOn1nbxseGTZGV/tMTyJK6We3l//1nCUpubtTTbw/4oQFPSKEaCpNU6MbnJ8fgcT23s5qHsVcpqkLIV5GBkiRPlcdJanbqlIQkeW1aYpqtSsQLcl7nOYitNQLK4bvQjCi4P9V7lb6/fRjurUjEDzDbTXMr3UVqLIUUsHshe40uzR/i57S9yrdXHjUYvB9MLPL5xgN85+DgXWkOcaY5RsoJYrsT+xAp3RG7wnthb6ILNsZ4FAFJSo8NjdrqkrAndh26InZpmWqnxp3f9HYpgd3evSbnBhhVn0UxzvjrEQKDMaivOL/Q9Q83VeWJlD3ZRZz6VIqG3aNgaZyqjvCN1kRPlCdpBpROssRjqzAa3PYm8leiagUbVLcodq8uZ5jh9SokZs5eSHULEw/IkYnKLYa3IuLaJ2Xn+48Etmq7KtzZ3UUkF2LJ8Q0m/UkaXbc7mB9kW32IwUqZhadxo9BBV2siCw4BWZkpbY8FM4yKyaKSxOidTw/VP3wNaiVUjwa7gKq9VJnl5YYLhtA9f2BbK8zN9z/PZ5Yf9IJNI11Gbs2MMyGXONkeZ0tfRBavrWf1g6hRvmfuJyS3ePXCRy/U+rjd72fbgHJffGiVxSUAreRgJAVvvvOkFv7/043tegz3wF88+QP/LHpc/s5fc+wx+bt+LHAvPsmimudgeIiY1mArm+M4o9L3mENqAHzvyMX5921OMKlv8wZ1/z58s38fF2UG+IBxnX2yVHYFVX9Vo+CXFkGayaUfRBZO8Gea20CxZqcZlY8A3ZEVv8Ls3Hiaqtxkd2er6Z0Oiwdn6CANamdsTc7gdc44k2ExqOc40x1k1Etwb9U+WDmK39C/hoXTaD21PperqOIikpDqGqrBhRdke2qRkBdFFiwvNIS5X+ujpqzCsFVhop7m80ctsKcWntj9HxQnSp5T56vohZNEvIdyVuknT9UUma2aCpNzgbHWY2UCGCWWTFTPJW61Rmq7KhLZBVq7RL1eY0tc50xijaIU4FrlJbFuLtFyj4gTZrIfZ31PB9qRuCPNWkKzpab4esd7HfYlr3J+4yo1AL3GpwboR48JGP5LoMh4pcKXUQyEV5m8WjjOd2CQuNVE7uk1FcIhJLRbaKbKqyuHgPBfbg9wfnKPoKMxaCQACkslcLYXpSkQUg7Ytszu9TstVqVo+K2CtEeMTg69RdoPsDizjeCKr9RiOKxKSDT/TIFk8vrKXo9lFfm7wef/6iETT0UD0LV5+0MufpX6jNcGxwCy64BAX/cX4kcgF9gVjLJgZTpQnSKoNTtdGiKptVNFXKp6pjCAKHt80/CmAQ5FFoqE2JTvESjnGphwmoFo0VQ2qCp7osVmMMt6zxVcWDpEMNFEUh7at0LIVHh08j+XKrEgJqpbOq5sT7EzkGNH8zUJK8gFBDgIXmsMk5QaTgU0kweWV6nYAlmtxsmL+e16Tvu9PuiHFBEPCdkXMioYm24RVA0W3OTi8jOcBHhRLIaS4yX1TN/AcAVl0KbRDnN0a4lRtnEciF7in5yZLRoqy45c8T+eHuTHXx6YVZaGd5oHsNYpWiKbj79YDkkVMbiHhsWWHmY5t8HJhkpaj0KNV2bLD5NthEkqT48k5ApJPT+pTK6ii71MdD/i7u2QnmLQ7sMxP7HiNqNjiB/vfZCK4RWklRqS3xq8d/BZPre3hx7adQBJcTmyO8d7Um/znuXfx4d5TRMQWJwujNB2VIb3on+DLA6TEBgtWmgU7xcHwIpkOBGPJThIRLYKiRdtVuCt4g/ckznKhPsQXS8e4K3jDxyqKTYKiieuJXK73U3N0jgZn+e3Bb3Bf5Cp3J27wVHU///rK+9m6mkZO+T2g25NzvC1xmQeTV8jbEZq2TxC60uyn6apcNPuY6eywr7f7CAkmM2YvOTtGzo53e0S3RgmCosmItkWPXOG20CxpucpMB7oxHVjD8iQGtBIf7jvVtYLMtzJ8YeU4uUqEjeUEr8+Ms1KLs1RMcDC6SEatIQoeRdu31biIxKUmfWqZ20Kz3BG+gSI4vDf+JgcDC9wbvYouWFwt9ZCO1fnNsa/zvsyb3Bm+QdkJ8qP9r5GSGuiC1XGeyt257t2BZcpOkJtGD7v1ZQ4H59AFi/qQQJ9Sou0qbA9tcn/MJy793jv/jsIhB08EuUEnYOXgKLDnl3+fPztxL44n8h/e8Rhr9/hu0P4vq/zxk++g2pHD1xz/lDai5vk37/1fGDERfcNA/WySi51+a9EJ85H+k/zQgVNc/9Yk5ysDXGgOU3d0hoMl3j92jmI9yPPFac43hsmodXJ2nLLr07eqjm+JUmWbiOL/rMNKwZ9ZbwyTVf151R6lgiZa9MgVXihs75hgDD/8YqYJddoPIi6bHcB8XGpScwIMKEVCooGES0RscbbmXyAdTyShNP2yttRmNFQkb0eo2EEScpNstE6lGqJoh1k14vzB9fv8r6u2iCptHE+kZAWZafWgiDY9SoUf73mZmhPgmtlHuKMR3BVYoeYGOi0GiV6pwvHwDHG5ydnGKG1X8TGDroogeJzf7KfcDlB3NC63BulTK+zR/Nn6QbXAfYlrrJhJzjWGuS98FYAPpU/xyzueo20ovDS3jXIjQN3R+eWJZ7knfp1Xats741TrOIjcbGURBY91M8Zz1Z1ExDa6IKAILjvVEr1ymR9LvcpAqMydyZuEJH+KYqacoeUonZ9fIKE3qXY2uXk7yp3h6/zg0FsIgsfTszvYNKNsD29yX+9MNygYFdtYnkxGrnbTv7duEi43m37Vr+1JxKUmw7JvSfMrbE2mwzl2h1aRRZdSO0hcafH81jTz1SQn5sZYb8Y4szHEufow7xq6xOHRRVLhJod7l3E9eGDqOlpPExQPVbOYiG5xtGeRmNYiE2mQ0Jq0bD8geq3Rw72xqxSNIEczC1wq9nGhOcSA5DO2JcHlcmuQohVioZ2iRykTFAzelzhDzdawHImRYPF7XpO+7xfda/kexJBF21ZQ8zJrLw9y7fQoqXid5VoctykjKC6uLeLUFWq2xkcPnAJgZrmHSkvnbH4QB4G9wWWyapVXytupOzrHMgsc33mze7J6dmNH96S13o4xEczjeKJ/olJL3BW5QUJrUjF1YnKL+WaKezIzhKW2D2TXC34vtTOb1qdWuvOiNUdn3YrzfHUnI+oWQ0qBc/Vh/q83b6d3rMBgrMJsO8tUfIPZdoYNK+bv4jyZHxo8zV+v3EnOjmE4ckdDqPG2xGUU0eGXrn2IoGjwVnMEXbDI2bEuXeqi0ceyHWdC3aTgBhmQqxwIL1I0Q7zRmiBnx1h1Yn4PTjS4P3GV3YFlUmKLmuuP52xaUd4sDTOZ3EIdqfPze15CFjvmH9EiI1fZoy+jSj6e0/YklttJVswUz1V28njpED1KBV2wOaQvoAsWGcm/mE/p69w0etEFq9u30kWLiNim5gZ8yH3nNLQnuExSanT7OLdHZrgtMkdEbRPULJA98ATeO3SBj02dIi41uS98lY8kT3CgU8a8FQzbpa10VYmi4Pl0JVfjsa3DfKOwj09ve5JjmQUcRLJSjaRU58niAYKCQUS0iIsmcanJgOwHP15pbsdFZLad5XhoBl20WLMSfKe2h9aQRa9c4cHIJca0PAU7zEPJS1xpDfAb9z1OZdLD0cCTwQ6INHtE7BCEZxTqjoaIy//roSdZ/wETMywy8IrNH/zte1lopwHYsGI+V1tqIX1sEyum4okC//CHD/m9f22FXdoa04E1PvDhl7j6/CTPrk0x18oQV5oMqkV29uS4Iz7LqF6gTy2jCyYzRm+XGFR2ggyEK6iSX/9etRKEpTYbRoR9gSVWjQQ1Rycqtli3EhxPzmF5Ekm5zsHAAptm1Od746EKPi4U4GxrlLfqI1ieTMPVWDR9NOPO8BpJuc6OwCptV+GN8jiaaCEKLkNKkaarcq46SKERZKI3T0RqcTg8z/H+BW6s9GC6EiHZJCY3GdULiILHm5URwC+XL5kpbrT8952DyIBcYkgpsGQlOd3yXdOXWkPsDfojaJYncanWz7C6RW+khmnL1A2VmNyi5fghqLIb4KniPnZpa+zXl7gvcoUBrcRXirfxW7Pv5nxrmAGlRDpWR9MtstE6C+0UbzbGuu/nhqvxrepelowUIh6v5Ca4WctwsdzPm7VRXm/3EBEdXGBIbnbDRFcbfeTaEQYjZR7ou85KI85sNU2fXmUkWKTiBMjb0e71oWiHeF/fW9w5Msew5i84A1qJv1m5g6qrows2QcHA8mRMT2bdjLNkJbsCjn6tjIlESLBRcVEEn0QVFducrY8wrG4xra1xW2LBf36VXu5N3aDW0nl46iq2K3Iwu4rjCQyqRUKSyVR8k4xaYyJRYEdonYBmgugRDfon5X6tzI5IjrFogQG9zAO9vp2qbPqjQi3bn//vD1coWwEum/00XK1bNZAFh90h30F+3egnJFj8TN8LHOtZIKt872q/7/tFN6wZDGTLSKKLssMfJNeKAhubMUYiJbZPrPMrR57hRw+eAMnjzOwIB4K++9KzBQKqhSS6fKl4jJtGD+drQ1QsncV2itc3xxgNFohJLZZaSRJ6k6jc8hmeeoWI1GbNiFG2g9QdnTkzQ1Jp8OHeU5yvDnIwuoQiOJSsEFP6Omm5Rq9aJSD5PYxztUFEfHD+iplkuZ3gheVJJMHlT3P388zMNO/eex5J8BgIVnggepn7Ytd4eXUCTbQ4GFig7SpMqBu8v+8sX1o7ym3pRfbE1lA6zb87U7P0hytcaA1308a7OmnItquwX1sD4HTL77flnDC7tFUeTZ1lyUiRkupcb/dzPDTDE5WDrFlxbhq9LNtxZqwMf7x6P89tTLE3tsov9T3DeLrAvsAibxu6zu7ACl8vHOCJ4gH+MncPuyP+99ofXuL2yE3uDF3nPYm36Nd8Wo3vUnXIdYhGkuD5oZ4OySYi+dD0m+1eTjYnyMhVNqw4ANvVDQ7py0xra9wenCHVEbnHpSYJtcUHRt4iGG+xc3SNiNRGFy0G5FI33LRHW++Kqm/BJjJik7LjSy1ONCb53PIDTIfX+WDmFHNmlnfHzxEV/PRj09UY1Evk7BiWJ9J0ZebMLK83JrE8mVXDx8+llTo1V+8GsWbqWQaGC+SdKBJ+EvdWH3lnYNXfZIzXcO+s4ElQGZNxNLrShH/89h0+C1u0+ONjXyL540tYQRFPgO/80R2cqw4yqPoXTcuT+U+TXye/T2Hh/f7J+Udf/iQFJ0TDU9mlrXEoOM8vfvDrFMphXlsb8xcMTySiGLxUnOxqEEfVLfqVEkHBP9luWDG2hfIciS90e+EZucb9iWs0XI2Wo/JWfZi2p/gbpQ6D1yehBbg3cpWaq1N2gsx2ABjj2gZLRoofSJ7p6CRDjGmb9CplMnKNdqd8HZHa3Ju4juXK3B+7Skg0OByax3ZF4oE2vzzyTIcjrnJbZB7PkDh9eZznrk5juAp/v3CYby3uYKUWZ82Ks2ylOBScZ1T35fELpr95iUtNhpUiJTvEyeYEBwILXGoNstxOsl33A5ivVScZCFZ4cOQ6Yc3kufUppoK5jrkoREatMWP2UHP1bqK/aAYJKibfzu0kKdX5T5Nf51j/Indnb7IvtMyOwBpXW/2ca4ywZKToUar0KFVGAltsi2+xXouQb4TYHsrxnfJu/r5ygGca2/jjwp3899WHicoGkuBxJL7IJ/peZYe+xnCohCB4XK36IbS6o1OyQ1TdAG82xkgrPpv4keQFMnIVTbQ5EpjjZ4efRxctLpv9pDoyEV0wGVSLRKV2N7iYVmosWylqrkrV0/hGbS8nmxM8Wd5P1Q7wzcJenqvt4kxphA/2n0HE42J9AFW2ObE2Sl+wSlJtoAgub9VHWG3G2B7K8fLGNm4W09QcnYBqke6pElUN0kqdNSPOhLbBvsgyg2qREW2LKX2dQitI0QmzLbrF9XpP92T95NY+mq7GVwpHCYoGUdnXYC5ZSRTB5rLZT9tTGNULLLWT3/Oa9C9edF9++WXe/e5309/fjyAIPP744991v+d5fPrTn6avr49AIMCDDz7IzMzMdz2mWCzy0Y9+lGg0Sjwe55Of/CT1ev27HnPhwgXuuusudF1naGiIz3zmM//SpwrAkewSd2Zn2RbNc8fgHJMPzNEctkml6hSNIKORAq4nkjcjJLNVFN2mVy5Ts3SmxtdRJIe1hTQvr29jsZUiJJkciS+yZYSIqkZHFRZnvRllPLhFTG6hixbDmt+Uz6h1AqLJ5Xp/tz/6anU7uyNrvFrcRtEOcXfEp9hcbA7SdFV+OvkqManF9pDfOwh2sIRDeomp9Cb/5fojrDej3D1+k1G9wKOD59kRWsfyZJJSnX87/W1Olce6JJ2X69M8W9jBQ9mrnNoaYbvuBwMUweG5zSkWykneKI51Z2CDHY/plh3htdYocbFJRq6xZiV4uT7NV0tHOo8zydtRRtQtZoxe0kqN24MzTOlrfHXrCJ9fu5OY2uanhl9mOrCGicTDmSssdMgvumhyMLLEjtA6VVNnsZWi6apsWRGut/v41RsfpOFqbNM2UITOTLWrc7XR10Uags+VLTs+0H9ILXCuOsjR4CyWJzOi5gmJBg1Ppd3p7SqC22W8nqhv467YdSxP4hd3vsDtyTliUgNRcHm9MclbHchF0dGZMXupOQHyji9ANzyJ6+0+rtT7eHVrgk8OvEq/UmbZSvHN/B4iYhtR8FBxeKx0iDvD15k3srzZHuKCMcDl5gA7A6skpTpvj13ovj9WrSQNV2O/vsSNv5nm3l7/8zNrZRlRt9BFq+PNrROTWtw7dJP3T5yj945VzCjoBQ8EugCN/3TxnUyr6+TsGD868BrOJwrYIQ+l6bH8x5P8h2//IBfbQ6xZcXTB4td+7MsEFhS2jtoMPi7x2aWHiAoGrzT9HlZQNPizo39LtRrgyRt7+NvlY8iCyy8M+ONU/jhPlLankLNjLBkpcmaUqh2g55YWr7M4N1yNU41xerUK/VqlO48dFE0iUrsL8sjZMY4E/LEiXbCIim2utAfQRD9UN6oUSXXoQZYnk7cjFO0wC2YGq6MVHNc2uxWRhqvx3uxbpAN1Xqj5/G3XE/i9yw9y1+7rpAcqiKrDXCvDf93xNaK6wY6ET1NLSnWeKu3jUmOAf9w6jCo43YS9LljcFpxlywpzqjlB1daJyj7DfFsoj+nKBCSTihVgNFrgjp45LtQH+Y8X3kXBCbMruMpbzZGufOPW7b7Mde7O3uRkcxtX2oO4nsCAWuJ8w29/bdM3MFyZMS1PWGpT7BjOJkObJIMtIpovbA+IJjcafmnXdv3Lf9XWSCoNjodmGJLLRKQWDycvcji5hCw4nCsPoggOabnGqpnAcGWW20lO18d92EdrkKVWkpca0/7vo8NhVwSXUWWLXrnClh0hLja7FYmSHcLxBP6ucDvLVopvre+i5uhcKPv6yB3hHI/N7WO1FiMjV1mvRZgpZ6jWgjw4dJ2P97zObaE5Go7Kmbw/GnazmcV2RbLhOiU7SFCxqLc0eoL+YatXqxASzW4F5VZS+aG+a3xl8wiK6HBbbIFMoM58I8XFXB9LRtIHaKibbNM3KDuhziiWRURs8Vx1Jzv1VYb1/z+WlxuNBvv27eOP//iP/9n7P/OZz/C5z32OP/uzP+PkyZOEQiEefvhh2u1/sjB89KMf5fLlyzzzzDN84xvf4OWXX+Ynf/Inu/dXq1UeeughRkZGePPNN/nd3/1dfvM3f5O/+Iu/+Jc+Xa5Weqg7Gorg0q9VGA0V2L59jb3pNcKKweViHy8UtnOzliakWvzg1FtIeIwFt3h7z2UiqgGSx9ZyHMOVaDgqW1aYsVCB3XH/ZFa2ghRbwU4CsemPIMhVNNHq3m+4Mt/e2MXVSi+2J2F4sq/v65zcgoLBnuBK14TRo1QIS202zQgXGkNs13Ps0Ne4stnLSKzIzwy/SJ9e6ZpyRMHlL9bu5lTT5yQDLJsp/nHrMAUzzGYzwpnKCAeTy2xYMZatJDVX52ODb/Bfdz7GLww+y6SaY1TZQsXleruP24KzRKU214x+1swEBwML7Aqs8KHkSUbVPBtmlH6l1C2tGq7Ct6r7eLk2TVJt0LIVSkaQ37r0CH+7ehzwTyd/MncvB/UVzjdHWDETTGvrhBWDpNrgmzd2UXECfP7i7fSGqrQ9hZerU/RL/1S+ORBewvFEn1aE0znNtPyh9k7K1fVEMlKVrFTjZHMbNTfAufYwq3aC15sTLJoZtqwIh0LzXefvtLbG7sAyL5WnmdbWGdc2mWulmTF7eaM1wdVWP4tmumtXangKL29to2kr/Njgq13VmuEqmI5EzdWxPJHLxgBLjSTLVorZZpqiE6bpauwPLZGzYrzenOwO349pm9wbnGG/tsYHXvxXVO5vsU3fwPEERpW8X+5Vc+TsGH+zeRcVJ8AHUycJiibbols88O43MTpuXjsIogPmYpj/MP/ezuYkxI+OnuDj73qB/LvbWEGBgZc8/vwL7+Sb67vJ2XF65TIPve8UUl1CND22vjTMV8pH/ACbEyQl11m2Unzu+N9jbwZYudBLQDJZsxK0PYUVM9nt423ZUV7bGCcqt0mpdUId5SXA2foIF+qD9KllhtUtdgRWO2Maajc0p4sWZqcN4SdfbRTBZslOMt/KcE/4WoeHLeIgMNAZTQGY0tf9mXP88n/ejrJpR7p+1nUrwWCwjITLtVYfK2aSbLROVDY40rNEb7LKhWI/eTvK2/uvsD+yREau0XQ1RvQiO4NrJNUm/9fq7TRcjbOtMV5vTnLFGGBXcJXt+jqTgU3OloZ4ozjGajtOwQjRclSyWo23coMsNpNk1DoTGR/zuGL6Sf6bRg8LVppFI81tsQUASlaQFTPBudoQq80YF+pDZNUacbnJqLLFgFam5upsV/0g0LS2xuVaHyHZJKq1OVfy6Va3x26yYiaRRZeE2uJgdIkLlQGutAeYMbNkpBq6YLFN3+Ch9BUOJZboU8rMtrOcLIwi4XazJo4nsiOwxu2xm4yreQ5Gl3AQmFQ3fFZ7B9l6K59wK5x0ODhH21PRRIsvrh0lHaiTN8P0BSsUjCDb9A12ZXP0hGv8t9m3IwC1tsZdEzcpmiGeq+7khcoOCkaIdLBBX6DK66tjWI5IWDGwXYmHeq7w0anTVE2/H+2DVGIMKUUkPMKSP3oZlAyatkq8I3np032E5W0DS8zU/ExJsaN6vJUdUDoVmAl9k4ITZkenH/+93P7F6eV3vOMdvOMd7/hn7/M8j//xP/4Hv/7rv86jjz4KwBe+8AV6enp4/PHH+fCHP8zVq1f59re/zenTpzl8+DAAf/iHf8gjjzzCf//v/53+/n6++MUvYpomn//851FVlV27dnHu3Dk++9nPftfi/L/fDMPAMIzu/1er/u4mrrX4xsmDDG7bJFeMMpYtMBXbYMsIMx3ZIKa0OZfvpy9SY70QYz0W4011lLRcY8OKMRIuUugLsSOVI660yLWj3CiPcU/PTSTRJW9GGAyUqER1Llf6uiNGimBzvdlL2Qqy0Y6wLZLnxNwYsWiTvXGTq7VeHklfZEgp8M3yPjZUHzNXtoN8pXqA5XYSUfDf3H6a0+XfnHkfyViDlNYgZ8e6Yxb9gQoPxy9CCi7XB/j60l5+ftvzPL55gH2x1S4oYq6S4vTiCJFwi1/a/hw32n0YrkxNC3BP6DrtTkqv6mkst5PcE7qG5Upk5Cq6aBESbLYrm2iCQ9kL0nIU/mrjboYDJVxPwHBlRvUCPUqZNxtjPJi9Rlhqc0fK70u/XJ9mu77OvvQqbU9iSl/n9do2vpQ/yl2JmzyR28t4zxZ3hG8g7XRZacd9bGQ1w1oywteKR3h/8jQvlqZ4JHWhu9jv1FY7F16Zb+d38++Gv4HriTQ8lScqB7gjcoOMVONKa4CKE2TJSBKTWxwILjKp5HEQ2K7nuNIeYN7IEJINzjZHiUht7otd60om4lKzaym60h7gm/k9HE76cPdbxJ641KBXLnM93OOf9Ex/E/AzA88TFdtshGOMq34F41a4RMIjI1V5qrKfjyXe8PVpxhDqmsrE7Ys4nsioukVIsOhXmugC/MnCfXxq7Du8VvdPn4NqkT6lxJKZ5v0/9BJ//627EU0QbIFATmD1hSHyH40i4TKqFsjINX778P/i5NQE3/mHY2glD+m/pPjVD32Y/3jfYxwJz3N29xDeCxnC6zbP/97tDPy7EhOqPwrmm5ZUfvvtX+a//tEP4XoiSamOi0jR9nnFS0aKoGhyNLPQ6fNalJ0gm2aEpyr7yao1tI5/WO+E9br/FSwkyU/JD8tFlmz/9F9zA4yqW9RcnW2BTRTB7ignfVpVXGyyqwO1kQSXCA5/k78DMtCvlmh7KiHRoObo9CgVHgxf5lx7mCvNfq7VergzO0vLUQhIFm/ru8ZSyz8N3ZoTVgSbOTNDv1rquH9FXlkb5+ub+xkOlrA8kQPhJcbVTVJii5cr0/QFqjQclWulLIYls1KJcSC7ys9Pv8jLpe189foBJrJbnKyMoXQGrxuOSlpNstaKsie2RkJuoHXkEOlwjT2RFZbbSV7Jb2NvYpUvbh3njtgMf7lwJ+MTmyiCw1OV/ZiOTNkIUDNU7uib79rEThTGkEWXsGLw4tYUfYEKV5r9rLVi3Jm8yc1mD8ejN4krfttmQC6hixZppc6D4ctcM/uIKC3WrASLRppxbZOQaDCqbjFj9jKtrqN3vMRZqeZvUvGFIctWCtOTWDUTlK0gumShSzYbrSgZvU5PeIu/WrqTSksnqhtYjsR7xy6w0kqwUE+iSTYXC32MxwvMbGbY07dGzdYQOlMV05ENilaIxVYaFwFV8sURNxpZDqQX/KqY1KLpaCybKUqWvwkc0EpMqBvMtrPsjKz7C6vuw1G27AhZpYrTGWGKiC2kDjQjIrXJOfHvZfkE/g/3dOfn58nlcjz44IPdv4vFYhw9epQTJ3wI+4kTJ4jH490FF+DBBx9EFEVOnjzZfczdd9+Nqqrdxzz88MNcv36dUqn0z37v3/md3yEWi3X/DA35FhJR8PB0h+WFNOKNEIuvDfHM/LQ/puNotByFdLBJj17j/m3XSaoNFtppPvvEe/jWqi8OaFsyy/VEh9UsciyzwKVqPwvNFCHJX+gHg2WSWpMzhWE2jCjPV3aSN31yUkavs9aKsWdojQPZVV7JTXD62hjPFncya/ZQtEK8VR1i1UhwodBP21UYCWz5KjM85lsZfuvMO9k/tILjCkTlNgvtNHVHx3Rl9oWWqTkBbjR7Obs5QKkSYsVMcV/qBiU7yPH4LJWWTr2t8Y7tl7m9b4E/mr2Pk4VRjoT9cuo1swcJ3yt6pjlOv1amR2pRsP2EreMJfmzeGEAVXL6weQcX8n3sj6xwd/gaAO9LnOFsbZirrQEfClIaJST6kvIpbZ2/nzlEr1zhh1InyTsh3qhPcDQyy5GoH1KajOb5cP/pziD+GfZEVlkz4hSbAX7mzEdxOk7gpOonQm+2ezlRnaDtKSyaGV6qT6NKNstWirIb5JnKbo6Fb3bLdA9HLnIwsMDHkq9zW2i2M4IioHTGvzasGFtGmH2hZa7U+/iByOUOLecmvXKFndoqE+oG3yzu4R9WjvDvhp7i7vA1dgdWGFW2fIKQXKLshHhH4iJB0SAp1XmpvJ0BuUrV1XkwfJmsVEPBJxeNq75Eu+0p3Bu5ii64GJ7Ef/vzD/HpD3yFuXyKSS3n99g9mQ0nwPOtEXYn1hlVijwQuYyKQ0aq0nQ1+pQyiuCw8/gcUstnMrczHnbQ4789/gPdfv10x8azM7jG7/7UX1Mb96lWyXMSv/fnH+RsfYRfHHuO/I82wYXgps3nvvYuTK+zCev8TuNSE/XteZ7/+iFydgxFsAlLbXTBHx8b0zbZGVxDERzmjQyvV7YxFcwxrBUYVIs+e1euExebXddxv1JizUrQ6FitHAR65QpNV6NXLjNnZjlRn6RH8cNUUmehGlSLLFspCq7GsFzimcpuFqwMH+w/Q86MIuKybsYJiUbXN6wLDkNKgYPhRR5MXWVHYI3ZeoYrnV7mw8mL/O3KMYKCwaXWYKeN4Ze9v5Q/yroZ5/0j5zmWmGetFcV2O6VsuY7liYwH8kwE83wk+wZ7U2s4rojlSByJznOhPsSDySt8ZPoMumSx0Yz6JeLgFnsjq2iixUPpK6y0EqybcbJqlR6lQo9c4UxllJP5URTJ4dWNcRTR4duF3YQVk0utIc41hjlfGqBmacS1FplQg7IVYKGZYlTdYihUxvUEtoXyZPQ6N6sZ5uppVNHhVHkMTbQ41xj207u43DB7SUl13hW5QES0ur1tB5GI1OZqux9FsHmlup1Fw0d53nrdFqw0l9pD/MHK23ipvoMLzaFumLFHq1KzdJZqCYptf+78cqWP7bFNbu9b4KHeq0wnNzhdHGGpkSClNwjKJu8cvMzuyBp7+tb8KZOlIXTF5mB2FcOVEfEwXJmlRgJV9Ct/pitTdMK0PZU5o8fflEktdgVXubzahy5Y/F3+dtbbUb4yd8APUMlNXt2aoGQFGVCK3VljH/gjs2FFmTcy3Gz1fM/r5P/RRTeX812xPT3f/QR6enq69+VyObLZ7HfdL8syyWTyux7zz32N//17/H/efu3Xfo1KpdL9s7zsDy9PhTb4jTue4J0HLzB05zLRQ1u0CwGePHMACZeBQJmeYBVZdNgW3OzOoG47usjGcoKXvnWA+kaY1TP9rLbiqJLDcivBjY0MRcO3avh83jwuArviOZq2wiu5CWYraTTJJqvVWK7FmQjnSWt1HFcgnqnTtBX+bOYuRDx2R9bYMsNMxvNd2MJIYIsVM8G3Lu3i3m0z3J6Y42B2lbRSZ0ArUbKCxFXfZ1l1A4Qkg/cMX0JWbOqORs3RsV0/CPTOkcvcPTRLrh1FEy2GoyXWylEmlDz3BhfolSvMWhm+WriNB8NXuD98hetWCl309W5ZuUbRCfJadZLPbLyNgUCZgWgVUXB5onSQrFql5gZwPIGZRpZvLezE9UREXK4bfaxZCY4N+PzciNhmwcxwLDwLwE59haRUZ6aa4c/m7sbyZK6ZfUxqGxwIL/LRsTOYJZ0H4le4Ygzw8dRrvjRALXFf7BpzZpZxbYO0UutG9xfMdDdRKOHRdDWCHWpUzdXRBYs3G6PMWWkW7QQbVow+tczHMq8zquaZDuc42e73FX+C1YWy/97Sw1TNAD82/Cqi4PJMdXcXFwpgeSJfyx8iI1VRcXARqVsaDU/GQuKiMciz9V2UXX+3XXMD7NGXOdMcJyU1qLgKv7n0HobfM89TW3u5bWiRshPE9CQansobrQl0weIT6VcICTZRsU1G8nME+/UlMnKV3YEVHkhf40c/+jTSbSXCCwLhJci85fHxU59AElzOGYPogsVApz3wO+/7IvM/4hHM+wvYS392lF998UP88PbTLL1TxBMF+k7Y/OJzP+wvqFKdZSvJpFLg323/Fq1Bm9946Qe4ZvSTlasMKCUG1SLPlnZieRLXm76xazBQoumqSPjcbVWwcT1/PvVqo68LnI9Ifvo8IrXIO1FCgtmxJPkX0Bt1/xqyYGWouQFSkj9St2VHONncxovNKVxPQMJlWlvjfYk3We+YbPwTq0PFCbJgJ7qn85qrU3N0Zosp1uoxknKdx/KHCCkmTU/jdGmEM/Ux3qyN8lZ9GEnw6FGqfpYhNMNgsMyR6DxrVoLzZpoR2eFwcA5JcJkzs/Rr/ibhz/b9HddafYRkg4uNQVwEjiYWCCkGFzb7WDPiPL6818ekqlvkjTBfn9mDLti8WpnkKzm//xjXW2zUI6QCTZYaCXZH1ugP+RJ2w5UZCFZoWgo3C2mCssmDCV/CADASKLA9uokuWhSMIMv5BFORDbJ6DU3yrx+TgQ1eq0zydGk3UbHFM5VdPNPYwb9bepQhpchAJxSliRa7Aiv8xsyjGK7CfZErnGsPo+IidUr762aMQivIS/lJVtpxvrR0uPN5kchVIyiSw909N9kRWmcoVKJha5zcGCEp11muJ1itxNAkm7TmO5HXjBiW5yfM5270ArCVjxKSDeYbKSxPpOUobDVD3Cyn6VNKZLUaDVfjm5t7WDKSbFnhLm8hEDQoOiH2hFeJKy2iusEX5w/jeiJ3pmc5WxwiZ8UZkuosmBk27Qj9ncmDa/Veckb0n12X/rnb9016WdM0otHod/0BOFMa9hOfssF9mRsoksOBnfMIpsBM54O7PbRJr1al7ug8szzFqL7FPekZfv6O55D3VAj31Bk6ssq+6DIjwSIR2eDw4DJHUwtsGWE2zagvrA/nuFlLY3sSquRQbgSYqWaYraeRBH+UqGwF+Kltr/Lg0HVmChkaF5PMVDJ+yjiYx3IlKrZvv7lW7+PrM3u4d8cNjsb8EMm24CY79FWGlCK9apWD0SUMV6HpquwKrhKR2uwfWGVYK3TKo1f5+to+smqVHcF1QrLJpXI/QdkkpJuU3QDnjCwqDimpzk9kX2TGzHLZGOCa0ceGFefxjQPk7Bgv1HdQsQLsCK3To1S5IzlLXGryUPwiridysjFBVDY4Hp/lPWMXmdlKd4f/FcFhT2TF9456Klt2hJBo0CtXujSm2ZUM7xi40hElKCSlOqNqnntC14j01nizMcbFxiBB0ULBV9UlpTp7tBUkPHrlCu+Ov8VNo4fXKxMcDs51L8bgB5+W7CTXjD4cT+RQaIG42CQittgdWEYXTBqeSkjwwxZ5O8KkukHTk8nZMT63+iC7Yus8kL6GLvo4u1F9i17J4Ibpl5MLbpCi4fczY6JB1dX5ZP8r1Fx/VjUoGqwZcSxPpub4eraQYBKTmjQ8lU0nzPnLI7ieQNEI8r70WaKd8aeyE2JIKTKkFPhK+TZyTtCfofakTkDIYlgu4XgiManBdzZ28q6Ry1gPVlBrHq4M4o0Qv/CNH2VaXe/mCfrlEpLg8iuHn6H8sRrVKRu15jH+ZZfHP3s/w9s3WLtLxtFFhr4FP/z0T5PpnOJzThBdsPiNex8nPKvwuYv3MWdkOdHYxp/O38P+yAozrR6G9CKPJs6yQ1/r4CA9QoJJw9W6ZfbbIvMogs2E4o/fNF2Vgh0mZ8V4ozXBkpXiZHPCTzWLTmcBFYiILS62h5gzM/Qo/ky7IjjcrGU6og+ToGgw10rTo1R96bod8wULZsbXtjn/ZJySRZd7+m7S7DyvR7PnKDtB+gI+VnV7KMe24CaqaKOJFs8Xp+mR6vSqVUTBY1pb5+XaNNctjS9uHffpc4a/4PdGapxujTOh50nKDcYDebJKlRuNHoKyxc9sf5mZaobbskucKI77fVC1yd7+NYp2CMORGQ6V+ET2FcbDW4Q1g9FQEV2yGFa3EPEoOiGG9CIlM8BYtEhQMxkOlVi3EtQdjRmjh6bj60S3rDD7Yqs8tO0aM/Usk4ENpkM5ApLFqJInJBusNWK81Rzh9c0xzlRGmQhv8Vx5J04HZLJLW6FXrlBp6RyP3qTm6oyqeYKdkFtQNMiqVQ6kVgkpBpfyffSFquwN+NMbP7ztNAeTy0SkNm+Ux6hZOqPBAnf3+b3nfclV/v3ObxJWDOJyk3OlQcKSQVqu88byKFPTq+weWCeWaGC7EnXLr2Aej88S0QyapsKSmfbxlXKV65tZXslNEJNbnG2M0nA1Hh6+huX69LyXVraRK8SwHIm/uXoMTbQYjxRQBJtlJ8wefZmQaFJ2guwKrFC1dGzve/fp/h9ddHt7/R3HxsbGd/39xsZG977e3l42N78bmWXbNsVi8bse8899jf/9e3yvt4FgmcVWipjUomQH6QnWGAyWOXboBmHZICiZ/u62keGt8hDvHrlE3fH5qZYn8bHJU8QCbfqCVUpWiFNbI0yH1wlIFk1HZTqcY70do+74IuV3914gpTXwANNQkASXmNJmf8ove8SVFk1XJSE3eWD4BtF9BQbDZQDSco2QbDDXTPPk1j5emtvG+ybPE5HbvFkbISga9CmlTkhF5WjoJhdrgyTkBoarcKPVy/VmDzGlxZdXD/N0fic1V+dDA2c4Wx2m7cm8eHmK2XODnHx2F78x9SR/s3EXbU9hUG7xlcJthASbUWWLDSvWlSEsVeI8W9xJwQwzFPCB7DGpSZ9SYlLN8SfL9/FUbjdrRoxLpT5WjQRNV+XYwCK6aFGxg9RcvetzvdIeYHdgmd7OaXDWyvLLL38YUXH51urOzkKiUO4wYgtOiP09q3x7cQdZtcZLjSm+Ud7Pifo2VMHh9eYkS1aKZSvJnJnlcHCOT/U+01Xpga/8e7M9Qkqqk5TrWEi8UttOwQlzrj3CjOEbWBquxivN7ViuxEyrhz/ZuJ+/Ld7O/7V+Bx/sOY0m2jRdle2K71Hepa0iAht2rCM6DzEd26Dp+YSxvB31IQFSgxMN//neFvFDJS9UpvnHzcMsWGmG1AI5O8bPnvoojx49S93U+MG+N2m4GtcMP+TTK5fJyH64rOUoXDP6uWb2oAsOTVej6SoERZuI6J98Dyb9ufKfmnqV1g9WsHUBpSYw9rjJxz7/S+TsGJNqjjU7gSLY9MoVfmv3E/zn+77Grl++yMp9KnrJwftcFivqUu+TEC2Psa85PPCNX2G7uoGE51t8cPnJH3kK7VSYP3z9Aa7WejmcWUITLe7qpD9rro7emZXtlcssdUQKbc8fO5rW/DJ03vG53YrgkJVrxKWmP9MtmExp60xr69wZn+FEdQJJ8Lon12v1Ps7WRzhdHwMgKJssmGkuGgOcbo2TUeusmAnWzARLRoq0UuOQvkDZCXGl1sf/vHmMv106yr/a7ruOHQTuTVxnxUx2N+636Gy+W3uLdTNOQLL4Rn0P+4KLGK7CC/Ud9ChVVu0EvVqVnfoqWbVK3dH4tdFvMqpucbY2zOV6HynJlwjEFR8IEZHa/GD/m2TUGjVL5x+LRzgSXUQVHSJSm7fWBnl1dYw/Wb+fo5E5dsVz7A0vMxgsM6puYbgy/Yp/PblZTNO0VbIhv721aUZo2BpJqUFWrbIruMqe4ArfXtvBm1uDLJYSzLR62DQjXKv0UHTCTAfWKbaCDGsFDEtGE22GtQJXSz385cpdbFgxCk6Yx0qHUSSH50s7Op83h+WODexya5AvzR6hbAVQJYdwZxNw3ejjmdVpThTHu6XzsVCBw7FFIlKblqsiCS73Rq8xb2QZCRapOxohxWS27rPqLVOm3A4wW0yRDDVZaibYE1/j7PoQf7d4G01LoSdSJ2fEMF0ZVXAI6gaS6DLfTHOzlmGm1cN6O4bhyWzZEVotlZ5UhZBmYtQ1jgTmORhdZMOOcaU9QNkJ0iuXaXoavXKFXD3ChY3+73lN+j+66I6NjdHb28tzzz3X/btqtcrJkyc5ftxPrx4/fpxyucybb77Zfczzzz+P67ocPXq0+5iXX34Zy/qnyPwzzzzD1NQUiUTiX/ScXl8ZIyCZbFoRzpUGuZ7Pook270xf6M6F1mwdRXQIymbXN9qnVlhuJ7nR6OFoZoHhQJGnV6b5ocHTNB2N7aEcb49d6M7kAlyq9vtou47iajBTom5qjAW3GNKLbAtuMqFv+mQY0cJ0ZR4evMpAoMzuwApLRoqFWoqFSpLLm7384r4XiMmt7i7qjeoEN9p9nKmPEZXaPFfdRZ9e4ULdF6/vCq4Slduc3xpgKFxibivF7197wC9Xq3UkPN659yJKRcTMOIzLRQ5Gl2i7Ck1PwHRlLE/kpcY049omf7p2H69Wt9M2FfKtMAuNJJYn8c3KPtatuL/bc4NcX+jjcGoJ1xP5wcE3CUsGx8Kz9GhVBtUiB4KLXG308bkb93G2Ncq4usmCmeGa6W+gRpU84yObvGvqEv928tvk7AgSLl/aPOb3zzyFpNrkQ+NnuVgbYF9gkR9JvcaEvsmqnWCPvkzd0bte4pobYMH2+7o1V8dBoOFqDCmF7siJhMd0YJ05M8P1Zi979GWSkj+7qwgOV6p93B+7wnoryrBW5JP9rxAV27idYXwTkRPlCSJimytmgn36ElVXp+GqZJWOcs4JMdfKkJT8/t6uwEo3hHS93ccd0RkqRoBLrUFerO7g9dokesCkZund5PatcNG1Rm/35znT9HVnt4hcIpDpjDktWHG/fNwY4duLOzgSmKPtyfz7nd+k8lADM+ohNyz6X23zW3/1UR4rHWZILlJ2QkTEFqtWgnkjw09nX+CrP/z7DP+bG5S3yaTfFLEiUO+TEW2PkSdd/vXMB7hgDDGkFBhWimTkKj/xY0+ReV3m6hNTHAvP0itXeLE6zZqV4Hq7n4Id7mxOglxuDXY9yItmmozUYkiqU3aDLJhpf+QKHzS/X1/q4h/bnk93yqh1rrb6iYptBpQSj6bOook2l8t9LLTTfCD7pp9abwxzojzBjsAaaaVGTPah97u0FRqeL3xoOzJBzeSd/ZdRBZtdgZUOSS5CTG6SlmvcG71G3dGZb2VYaKR4cnUPY9omP559iYzs+5hfKW3jpY1JRMH3J4clf7Tp8ZV9zNXTOAg+VtAT+KmeF2l7PmN9QCuTlmtcaA4xqvitqp8dfoGlZoINK8q+6DIVJ8BIqsjdA3NsC+X52sZBDoQXmW1nsV2JkGD6fACxRVJqEFQtUlqDsGKwN7rKd5amefbKNH8+d5ffipCqHAks8InRE+xMbPCh8bP+e0+rEFb8HvZsO8tU0g9mPTpykR9Mn6bpqjzQd51dsXWCksHV9gDfuL4b2xWZCOb567W7mDF6O85qnYTc4Hj/AnGlRa9eZUciR0JucqI4zsODV31piSeStyN+O8vRUQSHkGSwXc+xU91guZ0kKTewPYmo0marFeIvZ25H1Sy2JzYZSZTYFV8nKJtook1AtWgYKhHVIKK0WWtFeTR7DoD9mTWqLZ28EebqSi/fuL6bq4UsTy7u5n9eOsZnDn+NXxx/jlSgCYLHk+X9TGtrDClFTlfHKDr+e7hfLnGqOYHjCqTD3z3y+n93+xcvuvV6nXPnznHunP8DzM/Pc+7cOZaWlhAEgV/6pV/iP//n/8wTTzzBxYsX+fjHP05/fz/vfe97AdixYwdvf/vb+Ymf+AlOnTrFa6+9xs/93M/x4Q9/mP5+f7fwkY98BFVV+eQnP8nly5f58pe/zB/8wR/wqU996l/6dBlPF7k/dpWFeor5XBpR9GETv33p7dQdjUIn7HRyZYShQAlFcAh2wlFV26c2aaKN5UlMJApsWZHOrtvmfGuEhNwgLPlUosFgmTOVEVwEljeTbI9t8ujgeRJygz6lRM6I8WxhB0umb2fJqDUiUpuE3GTNShCWDObzSUxb4t2jl1hopzovkseB8BIjAX/R0ESbf8wfZldwlbIVpFer8EJukhUzSVqpE1AsNlsR9vetUq/rPL5xgOu1Hi7WB3gwfpn+u1f4b/d/GVVweUf4Et/Y2sdPXv8oP5J5jWtmLy8XJvlmcQ/vSF9ib3iZ/X2r3J+9zuUrQ2y2IxwJz5NVql1whhry9WU3q2mWDL8PnLejXV7tqcY4KaXBsb5F6o5OSmqwS/PnEauuTkiw2JNYY09whbjYRBJcknKdpNrkj3IP8KXNY+wJrjCoFri42UfR8ftvu7QVzjWGaXgqabmK6wmcqY11U6a3LtK+UzSIhdR57Sy+lD9K21M4GFjgXfFzZKQGKalBRGqx0E7TshX+cvUefmX4ae4PXWVAqtArVTucZZuaq/OBzBmCnfnhWyjHl8rT1B1fpDBnZlltx4mLbR9BKZdYNNIEBYOgZFB0wryn7zxJuUHRDPH0E7fxyOgVXprb5lOAbD8zMKpscTi6QN6OkhIbrJsxfmP4CVzPJyG1PZGI6PBsbTfPVHfz17m7WTdi/MLUC0h4PBK+xOXWIJ/a+xzeZIPirjBmTCZ9weKVPzzKv5//ASaUzS7isu0qvNkeJe+E+MneF/mRH/82rgzReRcjIdDKqtQGZZy/7uEbm3v9sroTpuoGGNc22PYT10hdsvgPj3+YRTPNnuAKSbnOoFqg7Slk5CqS4PFA5DISLktGijOVEdbsCOfNXtqeQsUJsl9f8gNPCJxrD5ORq0TFNg4CfYq/Ua07Gm+0JjjfGqbpakwH1ukJ1NBEm7ztt5hEweN4fJYVM8mI6o/mTAd8VGLNDbBgZXh/z1l+f+rLHA7OUXaCVJwQRTvEdn2d24MzzLazvntVLbLZDhOWDR7p9/V0ZdcPV4UEk/3RFW7PzJGRa8wYvZyvDvlz9o7kJ4Tbg+TtKIN6mYITJi41iYot+pUSS4b/eb9u9GO5EgU7zMOZyxwPzzCibuF4Ih/uP8224AYHgovIosv5xhBlK0C/VuZ0a4ygZPJafTu6aPGx0ZO4COyOrFGxA9Q3wgiiR2EmxZKV5ERjktebEzyxsY+LhT6uNXoYDJT8UazkDBGpzR2RGT6YOcWWFWGp5SfIT5dHuVztIyq3ycg1tqwwd43P8lPbX+VgcIEbW9nuqNC59rAfNkuepmwF2BlcIywZ5M0I86UUMbnJvtiqb2wyo+SMKJdrfZytDvNA9AqXmwP8ffkIIwH/5x8L5HE9gbWNOLViiFZN45Wr25mKbPDm1pAvsnf8toDnCZTbAXZGc6S0ZhdJuSeyguOI5JshFNXGaSjYjkRpNYZdUfm73DF+5+o7/HyPLfLYuYN8rXiEtqegSTYXmkO80ZrgijFAzdF5ePAaSb35Pa9J/+JF98yZMxw4cIADBw4A8KlPfYoDBw7w6U9/GoB//a//NT//8z/PT/7kT3LkyBHq9Trf/va30XW9+zW++MUvMj09zQMPPMAjjzzCnXfe+V0zuLFYjO985zvMz89z6NAhfuVXfoVPf/rT/1/Hhf7vblnNHxXZF1/h2Ng8vdEaG0aU/rh/AbU8EccTeN+2812pvYTH5Xoffbp/2rgtPMc353dSNXVKdpCiFWLDivonxM4LrAgOdVtlPLSF4cg8tP0q/VqFa3VfEXWt1c96O8bNYprZhj8jejx0s2OuKJCWq3x1/gAPTVzn0ZGLZNUqLVdFERwCksmGFSMhN1hqJTsBAoMnt/bRchQWWyl2J3Ndis+/GnmRzXqYExcmcasKF86NceXiMNMdIs14pOCfhBo7+J31t7Mrss7KxV5+4eKHeL22jY1mGEnwuNgcBODD2ZM4nojUEpmvJlmz4tQdnX+sHmDO6OF3D/4jYckgoTW5O3KNQbXAtzZ38feXDlNxArwjeoGqHWB70J81fqJ6gFkz2wFkWFQ9P7QxqvrQ8LITouYEWKgneSR5kR/MnGFAKTGsFPnxydd5qriPnB0j70TpU/3FcMX0Ob17w8tcag36mrNO6WtU8W0lKdFnHhedsN/HlyvExRaX2kNYnaR4r1yhaAYxXYlPDT1NRmrg4M9O55woR8LzhESDk41t9Msl1hzf6Srh+SEtW2OlHedczc8S1C2NNTvWPW0/GLnEkFxhj76M64m+8UaukzfC9NyxRsPWuG1kkenAOi5Cdz51QClhejKzlt93u3WCl/BYtmM83xznUq2fUX2Lj/e8TlqtcySwwAVjiLYncV/4KuPqJvFIiz0/ffH/zd5/Rkl6nue56PXF+irnrs5xumd6cgQwyJEgCTBLpESJipQVLMlW2NvePpYtS7Zpy1HByqYVqcAoRoBEzgPMDCb1hO7pnKqrK+cvnx9voem9zrY3/dNcp/4MFoAFTE9Vfc/7Ps9zXxeeIuFLECy6VD89wg+89kkud0aZ0gocDm6waSVpeEF0XGG4+tlX6KYkMlctqvtkAjUPveZQ/40RPr11H3knTr9aZdeJ8SO5V+j7J0sMvejwX2+dpeyG97LjRTtKvyry5WU3wrqdYliv8GDqFouWKGwhyaTt6WKu7kb3lqiGVLGZfa0zQlYVvOb3xi9zILBNUm1R94R1KxNoklJbBGSbK81hAdqQO5wIroilOlcYZP6yeJa322OsdIW84su1k7zZnmK9m+LV6hQZTewRLFjCGX2jM8R8t5+ZSIGziSXGAoJQtmJludEdJO/GGNQrXKkNcakllICjwTKy5PN9Yxdo2Mbere7B6A36ennYlheg7gWZCeZJqS1qrvjrM8EVjhurlJwI/aog3G1YKaJyl6xa58nMZZ5aOIjlqeS0GpN6gaYTYCKwi4LHrXY/o8EyEaXLdHAHLW6SyTSQsibnmxOU7DBv1SfYF93lhyfeYCJUIiRbBGWLF8vTnA4tEZU7TGklDgfXORDZpuXpZAItFkpZ6o7B14tHyGhNpkMFXizP8HprH7lYg20rQVapc9xY42zkNs/WD3G1MMBXC0cJyA5vl4ZIhDrUnBC7VpSFdh91x6BmB+k3RNzT8hUG9Bq2r1Cxwyy0+/jC+nEubQ8RjnWRNRcjYoEHf3frKIbq8Hh6jkulYe7MrfKu0Zsosrc30ii7ES42x3itMkUwYHEis0lfvIkWsWg2DSRX8Mkvrw/TMTWuLQ9BL7Y2ZpRIKU2OR0SmeaWbEXN+vUrTDTARLn3HNel/Oaf74IMP4vv+//CfS5LEr/3ar/Frv/Zr/8N/J5VK8ZnPfOZ/+v85evQoL7/88v/qb+//53W1NEgnEMPxZGTJR8anYgWZjokHfMfVWKxlOJNdQ8EjpInlggcS8/zxyj10shqPJ67yQzNv7jGRDwS3+aPleylWorhNlcGxEmeyawwbVeabfcS1LransGXGGTBq1JwQdSfIgFHDSiq8sTLOYjLN8Liw4KxaGT59/SwfnLnCsF7h2eIBDse3mAgKukxc1VnvJqk4ISZC4sTXsFN7uMiCGeF7+s4z1xHz3a6n8W8OfoE/TD6A5alcWx1EKur80ZV7+WenvsL53swrobTJBRq8VpzETdm8f/waw3qZ905f4ddvP8HB5A5T+g7rdprlTgY35HEmu8Zkj/Ik5rPDXOmMstjOciS+RViy+NkXP4Gkebz70ByfmzvBiTOr7A/lWTOFFPxd0avf1uJJDptOgmldbKUvWn24yGxaSSI9OH5YNim5EbJKnajS4Xx+hOPRNfolsTSz7qTIaTVsX0XBY8eK8fnuacaCJQ4am1Q9g5BsUvJEHu+rpWP8aO5l4c20BjgZXKHhGRTcKF8tHePu+CJawuWmOchdvfbsO6o1y1d6i19Sb+4cpuaGqHohSm6EwWBNPPAaOSaC38ZGhiWbL9VP8SOp1zAkj4Tc4bCxvqc6u3Fugv/woT/lN1cf5Yn+a7xRn2KzHeeHBneoewZbvc3bihPmWHCNkGwyHchT9wzW7TR/u3Wa39331yzYaSa1MsSu87fVM/xA4hwvd/Zx3Fil7sT5xX3P8HZ7DP6POS7/0RGiGzaBKgx+Xucz5x+j+EMR3pd4m5BscqUzynWGSKlNZoxt/vKIS7CokLzlYv5oBe134ygdj61PT7L9C1uMaCXGtSJrdoqfGXie3///+DQ/vZ/iZLT35+AwG9zcM82EZBPT05gO7pBSmqxYGZH79DOcDd8WsRNfpuBFRbYZn5av8VT+IIcSKVquzif7XkSTXCxfEYAWVSOkmBTtCLavUDLDPBS/ydvtMdqBgPh3fJXFbh+Hw1t8duMkKaPNuFFkNFCi4oRRZY/ZSJ5BrSKE9bUZTkVX+fTy3QQ1m2OpTXJalaobZtPqZ64+wHsy11gw+4UMI1jnUmWYh7LzDAUqLHb7+FD8AqdDS7S9AF+tHOe+0Dw3rX7qXpCCHaPmBDkQ3Mb2FRbbWQa0Knknio04sPepDR6PXGOtt22t4zKqlVE1l9fXxinlwtyXXmC7G2fHjDEdLnB39DaDWkVErZQ6BwfzdF0VTXEpW2ECssPx6DrblmCn257CH83dQyre4tHBWyL3XjvCY/FrPFc/yEozzc8MPccd0SX0EYdbjRy3C2JunAq0eDJzmUUzRzLQZq2T5Hn5IDPGNvPdAW42chzp28byFL61eYB0qMVQqMZKO43jy/QbdcpWiCGjSsfT+en+57jaHWHDSjIaKDHXGiKudchvJ5EUj2i8Q1+mTtvUcSMSqurRsnTebo7RdVTmqv3kQg1Cmk1c6aAFxWdJlnzyrRj/ZP9TYmYfv8H4TJHPVu7gc5dPgi0TCpk06kH0kMXp4XWadoCJQAHbVxnVSoyGhcaw5oR4oTDNydQ6Z8K3+e3vsCZ912wv/49e5VKE85f38fbNcW7u5kgabVaqKcKKSVCxma/0Ee2xOQOyWJXf6CZ4unSI3XKM6WCBJTOH68v8bPYFfjT5Oh+LrvAPp55FXjdQayrFWoSlZobRQIm7k4sktDZZvcFmO4Hde8DsD+XpD9S4sjFENtmgeLmPrxSOsWUn+YML9/P41A2qdpDfvvoAWaPJq7uTKPismWm2zASTwSIHgtt8+u27MWSbiVCRO2NLhFWTD2Qv7f28dk8Xtm6niWtdPpy7yEBfFS/h4FV1Xq1Pc6uWI6kJMsx2N852I8o/uvMpXi9OcFdQLPn84uQz/MrA02JOVZ3hYmGIcE4o4Lq+tte2HdFLyPh8KH0B21P4SvU42cEqv3DmGc4XRtB0h4OBbaYDeV7ZmeQ90StklY5gJcsWLhK65FL1Quw6MaE+s2McCm6wL7y7R7xq9NrSW1aSk7kN5lpDbNlJNMklKnfo1wS+ruhECSsm98Vvcb0xwE1zkJeaB/CQWbGyAlcZaNLwgntQClny+FrtGL+z/DCfzL3EyeAKtq8Qkzt0fYUFq5+CG8X1Zab0AotWHw9FrtP1NBJKi2G9LPB5coczkWVU2SNriBx43TS4aQ5QcCOEFAsZHw+o9ry0t8wBfvVLH+WT73kGXXJZWujH9hWGjQoPZBb4XOEUMVkwaw8am+wLiCK8t9DTi3VNx3ZZtJNE5Q4glpOWWhn+tnaalW6GthdAkTwGtQqPROeYCe/wvp9/kdaAhuT6KKZHYtHhpf90Fz954RPYvsodoUWiSpdtO8FxY4N/8MA3qU4rSD7YT2d46av/J64hE95x+Lu/vI+8k8BF2nPuvjd9hf5PrPDcb51lvtVPVq1zpT26x4JueME97nPVDbFmZTAkm7Yb6MFOFMKyiefLxCQTC5lFq49ssMmTyUv8dO45wr3NdEXykCWP/YEt2m6A0YC4nT2QWqDuBYVxCJlLjWEOBTcY1gXL+5NjL3NP+jaXmqOsdDMM62XuicxTdwxud/uR8bkjukyfWmcwUuNsZpmQbKHgc70t2sDfn3uzJ8Lo0nCDnIqucDK1zn5jm6ZrcEd4CaM3hojKHUxP5fd2H+TLxeOYnsZEYJd3x68Q7m22rzRSAsHamqHkRJgyCsh4xGWbtNKkX6lR9wzmzCEeHb/Fx/ZfRJcdak6IPqOB5Sk8vzNDVq2zZSf5evUoTzcPk29FmV8Tt/b5SpZcoM5iNytUok6Q6/UB3IZGrRnka6uHADgeXiMhtzm/O4quOKKd7oY4Hl4jpnX52P6LfHLoZaZCRcKyRdMJkNQ7ZPVmT32pUrCinE0tIUseE+ESd+ZWyRgtXlmd5Fa5j41GgozWJKF1SGst7ogu0fU1LjQEoOYbhcNsteNcLI5waHKT0QHR8TqR2cTzJQIBh4fHFmh0Amy0E9yTW8J2FWYj4iBfc4PUnCANz8DzJfrDdZasLJ4vs2MnWLEzPBK7zqfu/gL7pvJYtsovnf4W6ViLO+PLfGrsixzQd8iqdYGlDRZ4qzzGRjfJI7lbpLUW207iO65J3/VFV9Zc5KRJINHl0bFbeL5ENtxiuSXmJ8VqhFSgTdvVe5lbk0ORbWYiBX7y2Eu4SARkm7japurp5BTRHJjUC+y7cxU36PELR57lruQy0wHBND4eXkOTXc4kV/F8idVuipTa5GpjiOMjG2iyx70PXqPjaPz2K49ycmqVY+F13twe447RNRJam7jeFbQe2abjCr+si8z0cIG2J9b9Q7LJRGAXQ7KZ6wwTVzr82YJYRtu2E0yFdjmgb/OT4y+hhy2G9xW4UhpkNpEnJFu83trHkegm7xm7wSvVaT42dJ4X2vsBuC+4jYZ4GC410pSLUQ725TEkm2Uzy01zgKfLRzgdyPN49CoH9F1mgnmOhdcwbZWyE2Z3M8E/OfoN3uhMIuPxvqFrdH2Vcq+12PUVvB6gIiG3ebstcnn7AjtcaE1wR2SJL1RO85mdO7nSGkHB52Bwk/elL/H61jiXGiNsWKm9WacuuQzrZd4dv9JbVBM3Q9tX9hZytq0EfVqDvB3fM6b865Un2O7GeaT/1l5Ls+YK84jtK3Q9bU+QvmJnudAc3wvIL1o5Wl6Aq+YgL9YPMK3n8XyJsCJiRx1bYBHPtycpWRHWnTit3qx514kx3+rHSTqEZGHl6R8Xc/uo0uXO0CJPZq9wvTtETO6y68SouiFG1TKvtPb3Ikcy49ouP9/3HE/XjpCShY5NxkOVXbbMOLLk8+nCvUyqZfp7nuR3Zpvv+oev0M6pSB5Ijk942yL91yH+z69/nMvdUUb0EsttkXu8LzTPv/rRP6OTlIlu9jy2SVH8s5ctfuPi4yxaOY4Y69Q9A0Xy+eTQy5QeMnlxaR9LZh9RpUvL13muMst8t39vkepaZ4TDwQ26vobpqT1utUdYspjWd2j5QsMG8IHsJbJKYy969I5X9x0q2K4VJap0ebUxQ8M1MCSLfYEdbrX7GTYEGavmCi2eIdu8XJrmqesH+Ztrp9ix44Rlk5ORVU6HRExvXN/lemeId2fniChCE3mlM8KB4DZDgQo3uoNCxNDto+hEOGhs0nICpJUmNSdIQmntRaQMyeFoZIOY2mU6IlIcO3acTTvJ2+0xDoU3OZbaFF5tVxcZ4h7v9++ah/ly7SRx2eTtzjj9ao1PZl6mT6vzg/1vsGtF8HyJrqthezJfLJ/mz7bOUjDFHkqhGGN4oMxAuM4v7nuGqhNiQK/heAqWp2KoNugeVksnFLAwJJtBtYIhOfz85LOMhcpc7IyTUpqklCbf13eOJ2KX6FdqlOwwaaXJw/HrfCR9nv5AjUeic4Rlk9uNLJP6LgHZZTa4JUxA4V3ikQ6S5FPrGDyTP4DpqZi+yu1ujr/YvZuY2mG5naHQijAdLeD6ErOxPPf2LRKQbeq2wYn+DR4aWaDl6kyky8iSxwtb+5iMF8loDY4mNgHo0+vYvsJkcJeZSKH3HevQcA3eak7yN8U7WLUy/MDQOe4eWRaGsf5vOwOqniFgRZLHZKDA+/uvsNONciK0wsnQCnGl853XpP/1Mva/2cuX+LHDr/PjB18jrnbouhqzCXECulYb5PjIBlcLAzy1PsutRo4vrR+l5gQZ0IWppF+tYXoav3/rPi52xml4Dm3fZUQxyRhNPn7fa7w3couSHcb1ZW50B9mx4zSdABmtwXIrzdnYIq/X9/FAYp5MoMXHR95kqxVnfmGQD5y5yENpEUt4z+h12o5GXO1wNrXEmpmmaEcYDZYxPY2CHWM2kRfEKr3IocAWD4fnaXgGMj4vlaYZS1YwPZUZY5uo0uWmNcCnrr4Hdz3E+nKWHx57g4AssGhTgR3OVcY5FV7m9aUJ7gku8udLd5BS2uy6Mjuuxm9tPErTDKDoHv29GXdE6fLbNx7keFQASF5uz/DVxhEutUa52BqnfTPBSifNT519gS/snOJaa0g4WwNF/tXqk3R9jajcYcnqE7SazghtP8A9kXksX+Xt9hiXysPk7TgNW+wCvD/5Nq3eDVuTHA5l89R6M7KQbGKhMK6WyCoC0tH1NP7ewIsAJNUWt81+5rv9DOsVvJ6t6GJnnOers4xFyoRVk7PhBdbtNC81DrDdwze6Pd1e3o4TVYRB6p7YAlVXtKoVPO4wlhnUKlwojWJILmciSxStMDumaKt2XI3FdpZ8V2STq55BwxMn7xefP8q/fOAL5LQqO3aM6cQud4cWuDN0G60H83ihNEPdMzgeWGc6kGfFFhYVFxGzcRF7CScjq1w2h/CQxEKUqzEYqBFX2zyQmGfdiVN2jb2Wdt0xmDG2OfEzlzDj4gbrKxJq12PwJZ+//Q/v4h+//SGmQkV++voPsO6kiMod9v3YLdoZmbs+/h9QTR8zruBLMPrfZF6qCA/uOzPchNzmt+/+DKyGmAwUBFrUV5kK7TIR+Lb4eyxQ3MvrxtUO606qBzHpLapJNgtWjr/evgNNcnrQBRXPlwRgwYnvgTQW6lk2rBRJrcWzhf18s3yYvBMnIDtsm3E8RMRovZvklfoMNzb7GchVUTSXmhvkM7tnudIe4YXGLFcaQ/zjGx8hpTZ5vTYldjrcCJ9fPM5b9QnO1SYo2hEaXpCQYhHoLVhm9Qb/eeOxXt47ht3DkgJ7udU+rb73Odtx4hwKblC0oyTVNkm1TUix0CRxmGh4BpumSG7csvuYCBRoeTpPNw+xbSX4Z3PvY7cb4ZWtSTqOhudLPLc6TbEd5tyNSSp2iO89cpFH+m9xLL5JVq3z+tY4j0bmOBzeQJcdFisZ7tm/iBJwiegWBTdKn9Lky/UTVN0wh0KbjOvFPV3jtc4IOh55N84Pp1+l5Eb4WuU4AMeMNRKy4O3PxvK83R7jI+nzgCCHdT2NI+ltJhMlTFNluxJjuxPH9hTqjoHpqjy3McPV0gBh3eK1wgTxgEgP3G5ludIcoeuqlM0wL27sY67Uz62tHPPFPqrVMK8tTX37+9vOcrudw/Nl+tUa74ld7qkiU4QUk+ngDtOhAq4v95jULi/VZnos/RY1L4Dny9Q9g0G1Qr8idjJkfL5VO0xCbnNE3/qOS9J3fdH9+KE3GdbFkLtkRTgc22KjnaDPaJIOtCh1w/THGtw9sMKPDb7C7k6c57Zn9qIlLjLfKs4SMcR88ZzZj+v7LDgRXn9ZtGD+8fr7kCWfmNxly0zwO88/xo4Zo+KEORTbFuaR6CI7dpxCN8Lnt0+ycHOIY7OrAKSVJnG1zWigxLH4Jn1andVumrIVZqWZpmKH2Lbi7FpRNtoJLpWHeapyhEnVoerphHoA7qzR5FB8mw8mLrBlJzlobLBqZnhkfJ6DZ1aQLIkLjXGOhtYJyyYv1/bz44Mv86+uvxd1xeBX1t7Pk6Nz/P7ug1zojvBmd4IfGnyN4kYCI2jx6vYEU7owtTwyNs8fzt/D0619/NYLj/NfvvUuvvH1M3zlpdO4Aybnt0cY0Co8krnJ6cgylq8w1x5iNpZnzU5R9UIYsr2XwVyxMnR9jYoT5nJliJViitdqUxyIbHMmsYLlK1ztjmD5Cmm5xVCwii675NQaMVlgB995D95h+cbkLo9G5ti2EgRkm1lji7fqY3Q9jecrBzhfG+P7M2/w/elzzIa3afsBQrLJbHCL+6LzfKV6nLIbEQseboiwZPUiPy2WrCzzVj8HAlt7h4GDyTwaHjc6Q6KN7MsEVLH5HlAcdNndKyJfrRzn0wtnmblrhV0nSlpp8o31WT6QvtQDZojP3ohWIqG3SStNNt04lztjAkgSu0pU7uy1XledJFt2oqcilAlLFv1GnajSpe0GSCjtnhRetGNfrO/H8RXWrAxHIxsc+aXLOCEZyRW3SU8BvemR+HKYp/7t/bReyfJPLn+Qkhvhg5m3OfnjV7BDEo4h4eoSnazoAC391gF2etKJhitm6QD3PXiVP1i7n3krR1TusN/YpuEGKTgx6q6BJjksm1k2zSQDWoVrnWFaXoCCG2HRzlJwI3ypeIIfGnydca2IhYwhObR8jZIXJqaI7WGAcidEUm3xbOEAbVsjrJo0ezGUdxzXmuQyGSwiSz5nxlYFnrEe4EvLR3l5eYpvrh3gqfVZdtpRurbKM6VZNloJRgNlNs0kv3zwW7y0tI9CJ8poQOj8tszEnv/6rcoYLUfnanWQdTtF3o0Rk0TON6vWabsBXq3s41J1mP3GFlG5y4aVpukGqDghni3sJyA5NFyDiUCBvy7exSOx6xwNrXO+NcGV9ijLplgs+szlMzR2I6zXkwzG6gQUB8tRMLsah9J5JM1jfyjP0ZBQ2uW0Gprk8tMzL1H1grxWm6JoRnA9CctTuG/qNtOxXa60R7liDrFrRRnqQVmudYRxKKG0OBjcxEJmWtsl78ZYt1PcHxMLcV1fIyE7ZJU670tcEkuevc31qNIhpwkK4FI1TV+iyanhdR7PzpHRmqy00gQVG9tVMFSHUitEx9KomwZVO8RGI0HZCtFnNFmrJgBomzqq5jIUr2GELHwffvfG/TRsUcBtX+bV8hQv1fezbqf3zG6bZpIrzREx0tHFItkd0WVGDEGbmusM9/zAPXmNG2LTSXLTHODBzC0K3eieZvQ7fX3XF92zods8UznYoznt7AkJblRzpPQW9W6Apa0Mk8Fd3m6PkUg32ZcosmameaU+wwvVA5xKrNG1NBY6Od5sTvJntRP8wtxHuf/+q3i+hIdESLH4av04quSiVWXOvTJL3oyz2MryWmOfaP+qbYqdCCs7aU4fu43lKWx14tzqDqBJLhca46x00nx+6yRZvUFKb9GwA+S7MTquRk4XbaTDiS2GjQq/kn+IX57/KL+59Ag1N0hWb/ADyTfIOwnm2/00PHFjnw1vkTMaJMarHI1s8On1e3i9vo/Z8Db/fvlxkqEO7kSX/mCDAa3K+cIIXyqcYNPqZaJln8l0idO5dS62xzF6D27n7QS/ceVdPHbmCvpwCzvh4as+vidxon+DbTvJZGAHXXL57bVHqDohYqo4/dq+ioyHi0Tb1Xlf5Bq2r1JzgpxMrvPYpPhShGSLy/UR3mxNYfsqeSfBnDmEgseAUePPN8/2tH3idF/ywntzTQuFFTvD2chtxvVd/tnb7xOezJXDaLLL3+t/kYTSpuBGyaoNYdBRmkzreYbUCqrskZDbfCR1nrPhBapeiIIlRN5HjA1m9DxZpUO4h5a8K3obRfIZ0KsAaLJLQBWYw7ptENW6rNgZrneH6Lgajd0Id6WWOW6soeBTWUphyBZhyWbTjZOWOyRkkyfTl/l8+Qx5O8H+wBb9imAfv9qcIaW0kSWfr1aO83hkjlFNZIhtX2EoUOWgsclscBNNckgobf66cgcFN0pM7TJmlHoHugSz4W2y/3AJK64iOT69RX4U00dreUTXPPSXYvzTL3wcy1e4L36L/Z+8gR2WsGISVkRC8kCvu/z57757L4+8YPVj+yo/mXue1l8Osmz2sWkne58BhbuCSwxpFWxf7UFeVPGeWFF+f+NBrpuitf6t+mG+N3teoCN7FiHbV/biOqGetzgqdzjbv0zNDXIgvsNErEx/oE7DNQjIDvsCOxzUxZLUgFZhOrjD6fgqHxq5DKpPvRDBdWUeHblFsx2gZenMZneYiRT43sEL5LQqU0aBshMhGukwGS0xqFUE2EYx6bgaK900H8q9zRP9V7k/c5vVToZNO8WinUWWxJij6QaoWkFMV2XB7EeWfAzZJqmKdvud6RX2GXkM2ea1xjR3xRa5aQ6g4JFSxR7BXGOAUjVCONbl2MwaZ3JrjIfLPJy5RSLY5eHpeQBmRnb4m83T/NHqfb2i12XFyuD5EgtmP46n0HY0mu0Aczv9TIcKJNQ2O2aMmhsmp9fREPrCvBnn0+v3kJZbyHhc7Y5w08rRcIOYvUz5kFbh5cZ+vt7cz5w5zJw5xLBeJm/H2XVivFQ7QMM1aDkB9iWKpIJtMgExA940E9yRXOF6Jcdwokq+HGMmvUtAczia3iLaAw2FVYut9jtGMQnPkzB0m/FoiQ9NXdl7/gcVm6YT4HB4C1Vyiapd6l6QumegSw5xtYPdkxgklDYh2WTHjhNRuoQUcYhbt9NcMUe4bfbz+fJpkSnvdUG7rsqLzQOs9g6a38nru77ozlv9HAiL7Uiz5+Zs2QFWb/XTcgNUKhHUVYP/cukBrtYGqS8mmArv8uruJFm9waBRJap0yURavJyfYteKsm3FubN/jbAqiEf7IztElC6b3QT5bgxfA8mDr109wnwly9NPnSaqdPmvt+/GdBX+8YmnsFwV21MYDNY4Vx4HYKWZ4tzGGEHVJqJ0qdpBTqfXMBQB0tgy41i+wmNxAeI3PZV7+xY5mNzhRr2f+WYfY6rPA8FtPpgU8JGFTg4FjwcTNzmY2aHhGgyE6tQdwbrdLMUpvDxINCIK1Y4d5/vGLrDTjnKj0c+nN+7lA6feZjaW5/64+BLf7uZ4a3eU0QfW+PiB87wneZV/cOg5Pn7fazxyxzV+7szzvPbqQWpOkLydoO4FmY3nCSsmfz1/im+WD9PyAr1brkpEMen6CqumWEa7I7LE/lCe7bagggVkB8+XiCstDgU2mNILe0ajgOJwrTPCup1mxUmzbqVZsbOca0zxSnM/JTdCywuQtxPcM77MjVo/x3KbfH/mDRJyh7Ib2cu7trwAi1YOQ3KIyhYZrdHTkYkHoeUrvCt2jZYX4Fxrqmc5Uim4ETbtJGeMNWxfxvOlvXmd68mEVVMgRA0BkLjSGuG5Swf5iTtf4nRIdAEsX0HJCpBCyQuRkNtokofty4yqZfYFCz3tncab3Qk8X+ZoaJ1L3WH+U/4x/l72RTxfQpY8vtk4woutA9wZWiQqdwjLZk+YoDETzLNjJ7he72dAq3B39Da7VoTztXE+krvI6C/O48sSaqdX2EIy7T4FKyqh130SN+FXv/kRrrZH+J7seSZ+cIFAzSN1y0RtWsiWR2Tb5d/92fcQVcT/e91Ks+tGaQ5J3Gj2s2jmSCgi0lN2Q6TlNuOa2E14MnEJXXI5Fl7n50ee5Uubx/l0/l7O7Y5z28ztzXVtX2HOHKLlBVi307zamqHsRqi6IR6NzzEd2GGlmeZYbEMcuI0dzoYXSClNBlWJg4Ft3hde467gIg3XoO3paCGLRK5BPNbm5fwU2USTY5ktdNlFlnwKdoy5HjBCljweGZ5H7+WBb3YGGNBrDAWqpLUWZTfM1cYwJTtM1Q6KzlJjht/beZglq497ogvcnV7izvQKIdkSgJhAgZBiEpItZoJ5XqnPsOtEGTfE/P21yhSv1Gco2hEWu31sNuP8yKE3eNfoTXbaEUxXpeNqzDUHOZ1e42hkgyGjyiN9N+k6KiHN4k+276HraVxujWL7KiN6iZFQhalIkePDmzw5OUe819r2fIkb7QGaboBdN0ZKaQpZRaTCnCkWGbNqHReJkhsR89T6gb2CLrpNYiRzvT3IVwtHxS1Za7Pf2CamdXl3+iqPZW4AcKMlsr8XqyM0OgZr5SR6wEGWfKbiJVH8JZfT0WV2ulGWKimeHJvD8yRU1WU6vStGCN04fek6tq1wbmcM0xE/55H4Fu+KXWWhk2PHTjDXHiKptugP1Ol6GmU3gou8Z5Aa0KrcH71J2Q3T9nQu1kep2UHRdXSipJQmWaPJ5doQN8zh77gmfdcX3bobpOkG6Po6m2aCo6E1AqqDb7g8fWsWdSuAbEuM5spMR3c5e5fQ0Z1OrxFSTPo0cUo+mVrH9yUmgkUCskNCbVMwo2S0Bkm1xX+9fjcVM8T5S/uQXNBn6kiqR/lGmtCRCp9fPs5wvMb3jrzNzc4AIdXiZGqd0UCZh7K3mNILtG2N0VSFlqPzdm2UzXaClhNgJlwgqnbRJI8/Wr+fhNzmqe2DxNQOSa1FSm9xV3KZsVCZZVtGQeKIXkGTHD5/7QTPlGZZNrMMGDX2GXl2OxHuTdwmqze4Z3wZ52CLVLjN8189yV984wFSapOk0WE2mud9/eLUuN2NsetEOV8d5emNWfJbSR7uu8WAXmXFyrDY7cP2FY5H13itMonWkPnb66cIyyZFO4omuQwFKvQnBMSi6wnBuevLvdlzTnzYtRqvN/cB8FB2nk0zyfvSl/Y2IQWEwSCimpSdMPelb/OVzSN70IuGZ/CXW3dyMCRmLDG5w5ad4PnKAQB+deLveDJ9mZjcJe8KTJ0h29Q9g4oTpuKEWbSz7Lph7gwtcqE7zvPNgyyY/WzZSVJKm2udEWaDm7S8ALLkM6LWeKZyENNXWLCzdH2N+yM3eTR5nVPpNUKyxUFjk+vNAX5n6xGeW54GzUOTHTbtpBhLOEnuHF+hYoexfZV1WywvzVmD1D2DyYCQcYyqFU4ZK8iSxyF9iym9wEYrgYJPSrFFm77H4r5pDlByI5ScCENqhajc4WBgk0uNEU4n1ti2kyxZWcaMMgmtQ9UN8X195/D+YZFuUsHVJZwgJL9vg8YEdFMSrg6x2wrf/LOzLJl9/PTg8/T9xApmQsPXFNSOi6tLpG66/PxXfwQQQouGG+RjH32BNy9McyK0ytXuCIcCIj60aGdpeQGm9AIJpU3VDTGkVcgqDX5l6is8mr7BP5r6BrIkbDeXTHHIWrPSGJLY6G06AZEll3waXpB1K03DDjCmF1luZ2i4QXbdGFuOuGUnZIcFRyMlWwzrZb6wdAxddzk7uEK7q1NphJiKF0lobVJ6C8+XeHF3mlvNHOudJOtdoYds2AYr3TRXK4N7MahBvULTNXhpad+elH1KKzCg15DxudgcY8HMkVEbxNUOz5UPsOvGaHkBITiwonuH6oIV42v5I9TcEAulLIfDG9wVuc2B4DZPDM5RssMsNrP89MSL5AKiZTtXFqS3NTOFJrko+IxEqwwE6xyLb7JmpYmowkGdkNucCK1i+wr7wruYnhgThGSLtVaSoGzRp4utXUOyaXs6jyeviWhOD9WqSy4r3Qx5M850cIeCFePO6CItT+ShC1aMoUCVoVCVhmtwNLTGlp0kqnZZszK8Xp3k8cRVsnqTucYAC6Ustq0QD3c4nNvmrsQyd8aX2W9sM2WIfP1SKY0ErHVSRIMm48kKp+JrrLVSnM+PMBSpoaoerifxQHaBhNwmqbaoumEiilA7Dugi3jegVTkRWhHPKE34mGXJY6GTY8nMsdzJklDajIdKjIXKJFUhmal6IYKKja64pNX6d1yTvuuL7pBe4VBokzUzTVJrU3XD5IwGkqkQuBlEbUl0Ry3WLw3yuRfuEho8J0Skd+K80hQzjIZjcP/AbZpugFDvg5jRW7TdAAUrhqa5rFaTxEdquDpY8zHumFph38l1upbG8dwmj2fn9rjL+yM7lK0wEaWLJrl8vXqUesfg1vyQIDLpbcbDZdK62ICMKCZjwSKP9t3ktfY09+fE78X21L3NuYDs8MX6SV7uZjAkmQNakbv3LWEoDuvdJIdCm/zO8sMcTW7y7y89Rp9e51h0nXsmlojrHZygj5Oz+NLOCX56+HkuVEZJK006rsYr52fZthIYikPlVgqlrPH87gyv16Z4rTLFUEAscN1oDfKuzHU8zUe/GeRf33i3eB8CVWpOiGOpTaYjBdJqk2+Uj+IiFmFumzl2nSibdpKGY3DQ2OB6c4C6Y/B6cx+jgTIu8l7MZrmdZlgvk1EbvHdwjmfKB3m2fpDb7T5mYgX+dO0sn189xtfLR3i1tI/T8RWORdcJSzajapnPlO9CkxzScouQZLJqZZkI7JJRG4yqZVq+cH8udHI8FLkunMb47Lph8laMthdgycpy3Rxgwc4QUUUr6h1riYKP60uossdaJ8X17hDT4QIXVkbR34jyf939dZquwYHAFobk8LuLD/Bk+jKa7LJo9e218Ke0An1Kk6xSZ1QrUegh6KK9GXZCNmmYAdadBFVPpeEFuSO8yHuiV9AklxfrB5jrDGP7KrtODAWfD6Qv0nQDRJQupqcRVboEFYuwbPIbi+/mw8NvE/+JdZAgVPQofXaYU/feYvIDizRHQG2L2+Z/+9N30/U1/snI16h8okl5NkhtKojs+ri6xMArPr/yRz+0hxM1PZXknCzm3z3FoNLDJSqSx01zgK6v8VpjH5rkUOotqx0NrGP7KiHZol+tIiOAByHZ4s3WFC4SH06eJyp3cH2J+W4/G1aSoXCV52sH+Im+F8lpVbqexp+un8X2PUKSxKBiYkhi2cZxFH545g0mgrs8MH6b+8cXCSqi3bs/lOdQaJPV3SSVbohT8VWOhDfoehqXdgf5ysJhVrbTrHTTbFgpPpc/xVRgh4f33WJ/rMDZxCItX2dAqzAV2iWimNieSlTpElG6TIaKdD2NfrVK1Q3xWPIa/WqV2bCQUtydWWJML3K6f51lM8uF9gT9WpWToRXGjRLjkRIbVpodM8atao7T2fU9ytk7r6gqqHmXa0O8VNjH1dqgANDYAuxRtkLIki+KMOjclgABAABJREFUrZnmVjvHbDzPajtF3oxzq91P2Y0Qki3qXhAPifl2PzuO6L5ltCYdT+dGa5C6E2TZ7COr1tmwUrh8e4be7W2hf3r+LHGlQ80J0nVV/qpwF1Gly8XVUcaSFQaSde7uW+ZEbJ2MWt9LcoR6mf3DuW2SoQ7zlSxPDl/jRGKdpU6GwVCNB4Zvczy+wZ3Dq+xLFWm6QjxRsGLc6A6iSOLAe7vTJy5AssmWnaTqhjjfmuBqe4QdOyGeWW5QSCScCPdG5okqXcYCRUa0MhtWmqFAhdlInvnOwHdck77ri27LCzDf7SeutpkI7PJWXYAhtEwHM+PhBnx+/MwrfODhc/zUY98iKne4WBnhG5sHKdgxfijzKorkcUd0iWPhNWTJp+kGBM5Qb7LWSVF1QowkqmiqS7urc/iOJX7kvc+xP7KD70v8oyNPczq2wpqZxvVlam6Qkh0mpbdY7PbRdA1uN7Joiguax1CoRkJr03E1LleHCcgOSa1FVO7i+jLbltDQ7Q/toMkOFSckNnJlQaR6uz3OrZ5ObjQocpAtJ8Cfrp9lNFoRho1oh/Vuiv+2cJbXnjnMYjmD2pGQGirXt/pxfZnJSBFNcnlXYo7TJ24zrFc4EV9j5Og2vupz69YQL796iLaj87X8Eb7+rTO8tj1OTO5gDdh0hhxCuige7+SVD4a2sD2FghPjQDi/l7Ud0CqM6UW+kj/KB5MXqLphLuWHuF3PUrbCfG3ncO+hFMbzZT6cuYjdAyIcDG7y5uoYQ4EKCa3DUKDC+4aucM/AMmuNFD819AJngkscDIjFDxAHFAVfZF5R9mTqRwyxkd31dHQ8BvQaDc/gufIBxvRdwpLFwdAWVTfEdGCHlhfA9lUeiV/HRaJPaTAd2GHR6sP2VR6K3uAf9D/DY+HrZHqqwcMfucEdxrKIVEg2FjL1Cxkm9QLviQqe9+X2KCHJJSSL4qpJLimlyad37gPgD0r38y83nuC51gGOpLdJyG1sX6bt6bS9ADetAR4M3SamdnlP7Aqy5PU0fure0tmamUbG51xtguc2p/k3Vx7nB0fPMaKV+Ynhlxn/6Xm0hkty3uLWXx1gOFTl1z/2Gar7wUyCUfT5pb/8MVq+zr84/BXKR3w8BXxJzIL1qkP6ms32b03xxh+e5PNfu4fIlssrPUzh9e4QFzvjGJLNb6y8h//45ffzW5uP8vHUG2R70SZNconLJoNqhameQvGdX8+GFzgRWuXN1hQLVj9tP0DRifHllSOEZAvPl/l72ReJyybnGlOcMlb5wOBllhwxFf7t0r38l/JZnto9xOOTNwjJFlm1wSOJ64RVk5gqGOn9quAZPzCxyOO569wZWsSQbAb0Knf2r9GXaDI5WOTc7jj7jB0KrQhznWFmw9t0XLEpXnXFstdkoMC7Ytf2HMBhWTACjhjrDCoNxrWiiED1tpZ3rSi7VpRVK8NMWBCrNMnly+UTexvb75D03sqP8EBuAVV2uVwf5lBki5VOmojS3butH4tvsi9W5M7kCm1P51xjkq2ukDbcbOQ4FNpkQK8SUcTPf2/qtris2EJFGep1rmR8ylYI09MoOwKle0d0icngLjG1Q0TpCpe2IYxkcu/nrThhDug7nB1a4c9v3UFAdjgW32Q0WOaZwgHisRZZo4kie+xaEdqejiHbVJwwm3YSRfJR8Hg4dZODyTx39AmpxlontbfM1HH13q8aUdXkdivL84vTfGPtIEU7QkZtiMNmb7/km+XDXGmNsNDJ/d/m6mtmioIVpWBGuFgfJe/ECckWri+xbqeYDBTIqg32G9t0vG+73//fXt/1Rfdqc5iSFSGliMF/Sm+R0NqcGVnjBx96meG7Nvnr26eYqw1wzFgD4GRynU+Mn6PmBLnaHeHvJS7z3vAydwWF/eKdE+Hl6jAbrQRNR2f96+M02gZ2Mcjp5Cqr3RQXKqP8+MjLlB0xN8xpdTwkHE/mWFiorEQLKcqRxBaPDM+T6qsT1brUHYNMoImuiC/UO7hJQ7YJyA4FW7RGU0qL6eAOs8YWp0LLOJ548L7WnuYPdx9gqZ3hdHyFh5I32SzFGQ+ViAZMalfSPLUyywcnrsB0izsG1vB0H60mI8+HebF+gI+n3uDvSsdxkfhY31tsWEmxFFKK46cs5K7Mzzz+TY4nNthpREgfK3Csb0vMJw2X77njLX5q8iUxq+rJCCpOmHui8+iS02vHWeS0KhtWmqfLR/iZked5tTXDuFZkOFFlaT1LULH43oEL2L2ISMM16FdqTAfEQkzBifHemTleKO7n9cIEBSvG17cPc7E4wq9OfZnLnVEAAeFwQ3R9jbsii3ytdkw8VJU6RwPrbNlJdDzmrRx5J84X6yeZNTYJSxan4mvknQRXzBHBhVaae0L3a51hRrRSLzfq0a/UuN4e5HJrpHfzlbEQcQV11eCD2Yu82Z0gKwuu8JLVh5kVpqBNJ8lj4RucCK3wXHsfn6+dEpo/NyJE98lbzNt9hGSL+5K3eTIyxw9kXueZ5iFKbpi4ItrEMh4NT2O/sU1C7pCQu2SVBguWuLFElS5lK8wblQk2W3EeHlrgHx5+DttX9+xOvzj4NOP/4hZIEF+0Of+fT/A7yw/zY48/B0A3KzH0kslPfP2TTGm7/Mf3/gVWQixUKZZ4yMqOj9b2CG+7DL7ioLZdvvrp++h6GneHFmi6Bp9844eJ6l3e99g5LE/d0xVGZYus3KbsGeh44nMleXu/x7wjVG2nQsuMaCWeq83y54t3UN2M8aeX72IoWOVSd5Rz3XHSWotFOyuwmXaakiux3EoTVbqcTKxzMryC6Ynt2iFVMNgPhTapuUFWrQwNL8gPZF6n7ensOjF+e/khak6IO6JLhDWLlZ00jiezZSU5kd2gaEZ4ozrJe1NXxFKXvsOSKToYLV/H9WVeqs0wopVouCIDqkseKaXNtF7gpjlISm0yESyS0lrMGpscNDZ5uz7C9cYAz93ezzdLh/iTtbs5tzvOweAm3zd5kVvNHEUzwnI9RUC2eShxg6IdxfRUDkW22OgmORVdYUCrEJAF0e7CjlDlHYpt03DFmOWdpahoL5HxWHKOdStNzQ2hSCIDHtc6e7fAtqeTVeuk1CYDeo2wbPJCfZaoLAr1xfoY21ac14qT3LRyHI1sMJwS/Oy2p7PSThNQHGQJRoNlwVPQm9iewrPVg3xj+9AeF1yWPHTJ4XhkjbTepGDFGA+WCCsmddsQuza+zB3xFW5V+3g0fQPDsGk0g6IQK2Ju/FJ+iq1OnAubI1wpDXIguE3XE92XhmswVx0g343h+RK5QJ3P5U9Rc4NsWGmBEvVlonKX22aO6eD/s+f9/+n1XV9094d2mA1voUgea1aGkGwxGigzFKwKaH9yA/tGjLats+Ukebm2X1haGqPE1Q4uMnkXPts4wF9Vz/BicZqcJtod11+d5PZWlmu7AyCBodscP7LEpdowK400PzjwRg/876FJDhGlS9vV6Q/UuNoeJiDbOJ7CiCE+ZB1X556BZTJak4hiYnoqD6duss/Y4d7ILbbthIgyyWIjb0wvUnbD9KtVRrQSfUqDI+EN4kqHNTPFicgqR6Ob4lauNolHutwbmWdpK4NiSrTrIkbh+/Di0j6coI8XACficXf0Nit2htFghfmumA02HOHL/PFDr/NH9/4pP/jwy8iSOJEOx2vkV9M8mryOh8zdk4uc2x1n14niIpPtzTySaot1K43lq0SULkNaGQWfxXaWO+MCkzegVXGR+LnRZzm1b5XbjSxX28N8sXiSohPlWm2Qghvdy/seDazz8dTrrNfjlJohXtiaZl+syIeHL3HTHOjlOBO0fJ0XGrN7wgJNEhuZVS+IITl7lCeAM8ElHonO8XJjP11f40RwhSl9h361yvHAFjGlK8hKks2FqsjnapJH19fYdJKMGGXKVpiqJwrYip3hl5/9Pv6vj3yehhvE9hV0ySMhW1xpj5AbK5NVWnuLKR4yUaXDgFbl06V7WbPT2L7Cw+F5up5GUmv1NH8i/7kvsMPny6dpuoYQPcg283YfnyucotWzEWmSx+R/d0vcFxJ/nQuJ2eJxY42DxgbzXUGPutgZ55N9L1L++RZWXEHr+HT/qp+/WjzFu598k+Qj21SmdTIXZH7o8o8A8L4ffhk3IGFFFOyoiqdKSI6P5Pv4Mri6TOqmxe9sPsJvbLybr6we5skDV/nloaeZDu7wgwOv0+11MABWHdEJkSVhJtJwWbNTyHgsm33kHQGzUPC5NzZPX6RJINNhamiXqh3kldo0VTdESm0yrRc4Yqyzbqd4rr2f2WgeWfJouzpFJ0ZcaZOQ22SVjhAi+DIyPptmgrITISSLLHfeifNP9n2dlNqk7EQ4ntrgw7OXuCu3wvnqKFdKg2y0Eqw3ErzW2MeIVmbTibEvkCelNHmudpBhvcT+kFAj3hu5RdfXaPkqVc8g70Qp2tG9z+KwXsb2VVasLGOhMld2BnFtma6rslWOMRUrsmJleKMywVxBzHON3tZ82Y2gyQ4dVyMkmzi+LFzOXhAQm7+j8SpDAdF+d5FpuzpbnRgN1+BmZwAZn9ca+7jZGWC/sUVGbXAguP3fJREUkmqLP9h8kN+af4htK86qmeFUWLCubV8lobUJyRb7YwVe7kFLvnfwAtc6wwzoVbZacWZjear1EF9eOUIu1CCptfeehbYnU3VDbFhCBynjkVaayPi0XEFbmw7uENO6DAUqzDUG+G8Ld5EKtlns9vG9U28TDnf3fs8T4RJH01uMhcoEAxaVVpBlM8vtVpaaE8SQbc6kVpmN5jke32DEEM5iQIwYFZPbpjicD+tltqzv3H73XV90g7JJWDaZaw/tkX4AZgwhCCjbYeyox+6rAzxXOYAsicH6z+WeZUCrsm0l+EbzMM8WD1BxQhxJbBGSBZD9oUcvISk+rifTOdbhUDbPSjVFsRPh7swSrzXEQpDpaRSdKDU3SN0xOBNcJq52uNkUcwDPlwUiUPK4UevnUm2YkGLxI6lX6foadxorrNtpbjVzfGn7GEU7woghdGy/d+EB0koTz5f5s9I9XG0N0/Z0zkSW9/KSr5Um+dzuaVxPYsXK0JepY6Zd5IrGn12/g584/CpG0ELKmfiyT/bgLr869yR5J87p8DJfXD1KTBan2ittkb9Ny+29vONSI8PxxAZoHlU3xNXWMHPFftaXs9xsDtBwhTQcwJAsZMmnT62jSw5dT0eTHDwkLjVH9zaa1+00Cj4fzb2Fodi8uj1JJtDkdGiZXFBEZi63xTKHi0TeifOekRu0SyHuGVjieHSNfQHxHh8NrjGuFdl1YowbxT2m712R2yybWbJKC4CTwRXqfoANSxQ4HZe42uGV1gzfqh9m006yZPWRd8O9mJeDh8x4uIQhubR8lXPtKdZtIaUIKjZbdpKnG0f4XOE0StziYGCT48Yaj4VvYvUISi/t7OMT4+doeDpZuU3VE7nVVSuDi0xQsbkruMSg0uCvqmfwkHk4fIO6F+St7ihpucWWnWTEqHCrnePO0G1eqc8Iw09sizlzmL+tnuGXFr+Xf7rwIf46fwe/s/UIn1k8zXuzV7kjvgLAot3HZ3bPMmPk+Wb9CP1ajZvmIB8cv0L5wy18CRwD/DcSvLQ5xcdGzvODP/s03ZSE8cUE/3zufTwUvU7p/W18BbGIFZKRfMADX5bwVQlflij/1hgN2+Cnpl/mvug8JS9MSm3S9gJU3RB1z6DqBfZm5NfNAXYcAbZYszLElG9Hz0puhITcERxs0+Dk0AbJQJuIYjIdKnC5MYIh26w7CUpuZG9WX7JEB+p4eJW40uZQYBMXmSU7RVg2SavNvfiXLHksWX0sWjlqTogFs59vFg+yZgphA8C741cZDNaxHIXNWpzDqW02uwmm9Z3eZ9/mpeYBkZkNbBKQbb5QOcXFzjjn2lM83TzExc44zzYOcb46yl9uCrrcmpnmzdYkX8kf5URolTsHV8n11YjrXfblimQCIpkxHKoiST4Xt4bZrsSIKh1SSpOQbJHQOti+ii47ZNU6NSfEejdFSLHIt6Ls2CKWCILeNB3dpWhG2DGjzIa3CCo2ZSvEn+/czfX2YC9WY7JhJgkpJuvdFDmjwUNDC9i+wheWj1F1Q9w0B4grAh+7Y8aYDO4Ski1WuylR8AMlak6IqViRjqsjyR71RpAbuzkCvb2GiGryroGbLHRye2jQsGwJSIrkEVbMveXB45E1NMllJlLgvuEldNnhnsg8KbVFf7SB6alsWCmqdghF8qnaId47ep0PTF7lCzeOc+7KPgKyQ1wRn5+KHSKidBnXizyUvoXc2543PYGmXelmeKZ8kIbzbaHP/9vrf1l48L/ba8NKUamnGTEqIhYguci9NqDnyzTsADOHN7A9hZlwgaNB4e282B3l67tHOBzbIqPWOZ1YY1Cv0HCD7NhxokqXU9FV0rMtQbryNL61fYAD6QLHYhvUHHGSvNIc5kRkTZwgPZ1b1RyXwqMM6RUqdoh8N0ZAtnlmfT8fnrjM/liB/kBN2Id6p9Wr1gAjWolz8xNITZUVd5DgaIOHR+eRNY8VO8ur9WmeSF7iVneQnFaj6obYMhOcjd0m1y98v44vk1Ub7Cxm8DXx4dmXK/JWdZxWw4BSAC/hkF9JE1pX+evAaZ4cvsaPTb1O1Q2R1Rt8a/sArXSA48aGEFt7GovXB7n7/iX2T2yzZqbZ7CaolKJkRyoMByvIks9KRyje1qwMSVXYfkKyya4TZbHbx0OJG73TfIZXq1Nc2xngk/tfJaU0eSg9z61gPyfDK7hI3BFdxkPmqe2DDI5VBNHK0/m75SPkhisEZIe00mTdTgt4hNzl5fYMni9zMrjCrhtlSi9wtStadQNala6vEZZNDujbogXYEzLkzTgfTZ8TGUI7ScUJ83prmmG9zLRW4o3OGNNBcWO82hX2m10nypngMkeMjd5CUIQ//fLD/MQHniEsOb3Zq0pUtnGR2NxIcXxmlbonCFu2r3BQ+zah6UxwCUNyebp5kEej10jIJobkYvsKphdm00myL5AnLJscDorP3eHwJivdDHUnyNX6IEm9w69PfIkXW2KLe0Cr8IO5NgmlzcXOOCHZYr7bz8cy5wCxXFRwYnvfmQ9PX+avHruL3Cs+bkDCfD3Nv998D//8oS9x//df4HdP/QUPP/Ip/tk/+gD//MTX+Pcvf4zQroerS1gxBV+WwBetZl8Cremy9cwI6R99kSltl1c7+wj3ZrcNL9gjd4kM7sXOBFGlw7nKBHcPLTBjiBn2gFah7Iioyu1uPyHF5CcmXuG4sUbVC7Jg9rNhpWg5Ot8sHSITaPJofI62F8DyVB6M3yAmd0nIbebcId7oTLHUyfLD6Ve52h0W+V/ZZNwQaM6nK4c5EtnEQyKrNnh/32Xm2kPYvsKH4heYt3JcKA4jS3D/yCIAquRx0xrg1fo0N6o5dmpRfvTA61wyR6g5ITquTsGK0XIDhBWT4+E1fvP1R/kHZ5/hS5vHeXF3mu8fepMtK8lYpMxbzQnujt9mJiwKeV+gwdnIbVasDFUrSDrcptoOoioeV1vDxFQxF79Vz+FEZEpmmDeaU9wVWaTijBOQHE5mN2g5AWJqh7nWEFm9wVxtgJVyitFkhQU9x+XyEGs7KZ44cI1r1UE+NPA2ZSdCVm/wamkfZ1NLPBC7uRfbum9oiUm9wD+b/wC/OvMVnm/MkgvUaXs6S+0Mca0jUK2+iiJ53BlfwvMl8kNRru/087HJixSsGCHFoutpzNUGMF2VO9MrNNwgdS+4h3gFMD2VrCp2Jmqu+A4cCm8yGAiTdxJ8qzjLRjXO/vgOsuQxGiyz2M4wEy6wZSZIaS1OjK6zWEnjIbHY7aNkh3lzewyGYFwv9truKq8XJ7gjs9ozDBkcSa3z5s7/f5Fq71W1QyS0Dl9cPcqfvXYPW2Ziz9bS9nTOJFa5N7PIydQ6+wI7vFg/sAerGAjWuFgZ4dX6NHkrxut1gRZTJG9P93ZHZIkBrcLfLJxkOrHL4egWri+z0k5TNIUir+gInVlc6XAms8qmmcTzJZ5MXGK3E+FKdYgjfeJh/9H0uT2EY9v3GdQq/MrbH+C/5u9HaqqoLRnJhfZ2hK+cP8GHDlzms/nT1G2DFStLROlyu5tjpZsR4gWlziljlTPBFUrdML869yRKU0arKCDB/Pkx3royxcMz8yhdCX1bQ22ID3L1fJbDwQ1GtBKfXr6bfcYO/+fUU2T1Bpe6w3zq5Sf4j+ceY3imQFJt8UjfTWaDW/xY7mV+7OSrnO5bF0zhTo64KmQEeTOO6Wk9iUGQ6+1BjofXMGR7z6NbNYO8f+IqFSe8R6zqD9TQJZfL7TFcZBbMfn5s7FURyvdVlloZ/v7+F/nE+Dme35qm5EaoOGGmA3lavigcx4KryJLHpp3C8hUOGhv8/YFnMWQbTXK52hpm3spxMriyd+OWJY+YZBKVu4xqZTJqE9cXpKi2p/JmY4pBrcKKnaBfq7JhpcRGuytyfDfNQf7V9ffy+LvP82hkDk3ykCV/r+ULoIYcskpHbCnLJpNqDU2CA/pOj7Dl0vUVXq7s65GqJC6YQySUNm1PZ91OoUgeUbnLuFpiwernVrufXSvK0cg6E+ESH0mfZ81JcW/4FrLkMaMLaElMEjQzF4k+rc4LjVleb02j4JFQWhw31jgWWmXcKPITd79I53tqDLxaZ/TrFab/wuJfvPBB7o/fBKA5qCP9cZZ/fe3dfPLvfwVPAa3l4WoSdlDC0yTwQHZ9JB+GXmrzK1fej4vEKWNFdCPcGIZscdMc4HJ7jPPtScHM1Qt8T98FvlY7Tp/SoOqF6PqiS7LSzbDPyPNg6BY1N4TRW1yaDuS5I7zIB7KXGA+VCCo2HjL7AnlmQ9vokouMx3PNgyiSx0o3w0Y7wRdrpxjTi+zY8b2N2Vvtfm6UcyJOp7Z4rjLLlpXkSGidgGwzqXXZceK0TJ2xuFhetD2F8VCJZTNL3TbYrsR4YlJk7N/heg8bYn4cVbscCG7zan2amYk8X8sfwfFkwppJywuQUpvcE1ugT29wtT3MfCvXi9+sCz56J0sm0MT1ZH75wLf4wOgVxo0Sa50Upq9yR3KF7W6cqGZStkJokkvRijAZKKDLDvtCO8TVDsOBCudK41xfHaC1G6LYFpjFqG7iuxIXiiNs1uJcbw/S9nSOBtd5b99VxvSiIPj1ul/7Q3l+7sL3s7Oe5KuV41TtIAN6jZoTJKyIm/c7ESQZn4oTpuhEmQiX+Ni02K6/Wh1ExsfxZGJaF8eTud3KstrLAee0GjNGfm/xqeEa3OgMEpW7VO0QRTvKlplAwSOimqiKh+Mr3BlaJK62+XDmoniGR5c4HNwgqbd5cPA2IdlCk112OjECmkPDMXihfoCCFSWptRiJVDgaWmdEE++zIduktNZ3XJMk/3/m6fvf+FWv14nH4xz521+iXujn3Xdd5tlvnsDqc/ieU+e5VBlmf6zA6/kxcpEm3zfwJmHZouRG9v4ba2aaa7VBwfjshHjP8HWGehm8tqczoFW52RngGysHuX9kEbW3cbg/lOfZ4gGWKinuHVomqzfEYD8sTr9fLJ3iydRlnq/NElQstrtxPF/ijsQyk3qBJasPQ7KZDuT5p/MfpPJmDl/xsUdMqGn4AQ/JlJFSFo/O3KQ/UOfPX7iPh+68RsvVCSriQ5DURMGyPYVDoU0+vX4PmuyycGkEZJBccBMOWDJPnL7MM984ieRJyBZ0Bl3UhswPvPdFPCRmjS2erx3gofhNbnUH2OgmqVhBDMUhE2jieAonIqusWem9BamyE8bzJZbaGUaCFc5EhMHoQntCLCzgsWPGOBDZZkwv0nCD1NwQg1qFkhtBk1zSSnMvhD+ilQTowonT8IJM63n+49q72Bctcn/8JhtWmjUzxe1GltlYnungDoZkUXYjHDfW0CSHqhfieneIpmvwUOQGg2qDX9t8gvdn3qZPaTBv9VNzgxw0NlmxsqyZad4Tu0JWafGt1ix3BRepewafL5/mQ6mL/P3XP85f3fuHeL6IM51rT9HtLaHcbvdxq9rHzlv9nHroJkPB6h4RLSA7ZLQGWbXBH63exxODV8mqDVJ7P68gZC2bWY6G1rjRGeJEaIWyG2FSL7Bup4nKHca1Ml+snaTt6cL/WhtjLFTmoegNur7Gy/UZ+vQGs8YmDS8oMHZmkuPhVRKyeFjF5C4XuuNUnDCBngDgyb4rpJUmWbXOup1mRCtxvj2JJrn89pffS+5NcYtFgu1HHX7mrue5UBtj+ff3E2i4bDwmQdSm72kdyRetZrXrI7mCcAWAD3rVQv9UgZ8ffgYPmYITxfvv7gJbVpKU2qRfq1FwYix2+3hX7CpVN8yztYM9qbks5mp2gkl9l5IbQcGj7QXQJIcjPYXigtnPufokx6LrpJQml1ujRFQT21OwfYVT4ZW9DdU+tY7ry2zZSeJKi0UzR80J8onUa4Qkhz8u3cu4UaLoRAhIDj+YuEDXl/hc7SQZrcFvvP0untx/jSljl5BssmYJwUqfVkfB40prhK12nMPxLV7dneQDg5dJKU26vk7BjgGQURts2wlqTpCWE2DYqLBjxbhRzZGvxviFw8+y2O0TSlLFIqM2KDsRjoVWWbfSe1vFG2aSshViMlSkT69zsT7KB9KXyDtxztfHORLZ3NOWush8a30/riejKi5DsTobtTjZcAsPia1qjFOD61zbHeAfH3iKshPB9lV27BhnIwvsOjFcX+bTq3fzxOAcQA+xKCJ/FSfM7XYfQcUipnbpuBrrnSQ1M0guVOeBxDxtL8DzpRlkycfyVGJal7VGktGoaOMHZIdcoM62GSeqdunTG1TsEP2BGhdqY3i+RMUMMRyuElW7DAWqAhqzc5CHsvMM6hXRuVMbe/n+hNLmcmeUC7VRZiIFPF+kQUpWBNNTCSoW+0N5FDyKTpRuL2r3cmkfp5JruK0unzr7NLVajVgs9j+tTd/1N939qV1y+4q8sjmBPWIiNxVezk9xPLnB6egyqVCH2Vh+b7HA9DSKdpSFTo6M1uBwfItfm/gSHxm9hOvL4pbmaSTVFtfbgzy7McNHpi6hy4KcAmLVfCqyy/vHrxFVu3tvkIe8N1f58+2zrLWTPLsxw8HINu9Kz/FaZYp1O03NCfHZrVN8vnyGnZ0ETsjHHrbwHZnMVBnJcAkMtHl05iaTwSJ//sJ9KKbExZ1h3nprhhfPHWLXivDU1kHeKE4wFKgwrefpOiqfGHqD2ZOraHUJyZGQmipGpkNQsbDGTDzFx9OBmI002eJP3ryHIb1CQmmz2RZ0qXPlcWq2wfWdfjZbcZJqm6Vmmv+2ejdfXjlCzRFF62hojaOhdVTJY7mV5tfnnuih5GIUzChrnRSPp65iSA7zXbHwlFHre7o+BZHhtH2FlhfoQe41+nor/5/euY939d3gQ6nztHu3gYzW5KeHn+eZ9f09GL7Idy5afcyZomV4xNhgVC+JJTA3yL0J8bAAQfCab/XzZmtK+H5lm4udcdadBLfbOQD6lCbvSsxxrjWFEbL2lrIA4kqbeyO3eDxyjSdSl9m8nuMjT7zKB7MXmTIKfCTxFk/EL/NodI4DgW1RVFObVOwwg2qFsGzSr4mISlatczi4gSHZVJwQQ2oV1xe3fOEitvF80XHZ7CS4UBsj3IPkP1U7wpLZx53RRQpWlCudUapuiD+Yv5dDoU2qbphb5iBdX2PFzvRQjApZtcHR+CYFO0bDM2j32uxlN8KYXuRaa5APPP4Gm4+CLwvy2vDXFP7wa+/ivekrjP3kPLvHVDJvyiRfCeCpEnZIwg4LTrPkg6d9e8NZ8n1Wnprg67VjbNpJwrJFywvQcIW0IqfVCMnittd0DTquxtXuCM/XZsnpdaYDO9xs9VN2IsSVDm+2Jml7OkNahbjSYlCr9A5qCT67dYqfzT3LpF5gXC/y8dQbRJQuK+00R0LruMjcHVqgX63uvRc7doyyG2GuPsDtRpaX2zPYyPTpDY4Y67wrehVNdrhqZbhu5TgZWuGbxYO4XZUjoY09pvQbRRFV/OOFe/j67hH2BQvcn14gJFuMRCoUetnvhNISEorQCiN6iVljiyOhDWJqh2G9zGI9Q9pocf/YbWxfIaW2WOuk6NPquMg8Gr3GX+6c5ZvFgwz25B5ZvcF8Kcv90Vs0XYOs3uT52ixfyR/F9hROh0QcMqRYxBVh/vn1Q3/HT0y9iuUqVKthCs0IbVtjOlMkolr86NQbdD2Nm50BBrWKwJq6QUKySUJpcyBRIKM1epl2nevtQS40xni1PMWgURUISGOHuhMUB/L0Kim9zbKZZduKoysum02xBzJg1NgsCFLggUiehCYOizcrfay0BJt+tZ3ir5dPMV/KMrfTz0Cohu0Jmt2mmeBcZYK00WIyUGC+079XH1pegF0nRsGJ8lT+ILLks2PG2DbjvbZ8Hx1Xo2oHudIc5rNbp/ibxZN0XOF1HgjWmTHypNXmd1yTvuuLriq5fHz0PA8O30bVHZBgZy3Fl79+F282Jim3g4wYwuKzZGXRJIcrjSFGA2VSSpOJwC67PZdqVOlyq91PRmtwsT7GqzuTvHf0OiUrQp/WoE9rEFZNOq6OLPl7iwlRpUvRFmSglxszaJLHcKjKSiXJQ0MLxNU2z1UOMLfTz4vlGb65fYCWpbPVjqPoLv5Al3SmwRNHr6IrLofHt5jN5QkqNp9ZPI0fdcCH2koCvSKjmBJToSLbN/rwkPhA5AZtL4DryayaGQC86TbaVANUH8dWuFQZZnq4gKdD9uw2X7jv93BdmX2TebatBJt2kif7rvBMaZYP9l/irZsTyOdjrF8aFLfebpDNlQzNG6LlttZbhEoobWJal6hm0l2I0/Z03pWY46HEDcZDItSvSQ6HgxtCQi/57DpRgajTSrze2se+gGDQdn2NLTvJF8snuVgf5b7kAmN6kZvmIEcCG6QUsWhl+yrvH7/KtdYwa1aalW4GRfJQ8Hi+cZC8Exe+WauPFVvQZr5RECaa0UCZiWCRPq1OSmlyf+Qm21acq91hwdW1M7R8ATIYCxT5R4ee5vPlM2z2fJrv3JAvmSP8XekEfsoiopgk5DaGbGNILgm5Q05pklUafHXjMI8nrvKRxHnCsmhjZ5U6fUqTPqUh/vzkLu+OX+WLtVNoksO4vsuIWmbXjfEn5Xt4qzKGJruEFYup0C4ZrcGR0AaTgQJDaoX7YvPCjSt3iBomv375vXsoQ11yWTL7kPFIqq3/bjvUZ649JJaaXEM4i9UqP5B5naIV4dcf/Ry1SZnIWpvweou+Cz7/7tMfZSJcYuqhZbTv36E5At2MYDN7mpAo2EEZT5VwDQknpOCpMnbU5+m/uwMXYdMZ13eZ7i3BvZNnFTdXnXFDyEuORtbxkMjbcVxfYseOkVBaOJ64Tb1DGiu7EV5tzZBQWvwf408zZw6SdxKikJqDvFUd55HUDXacOBtWilda++lTGny5drKXgxUAkUOxbR7O3OKl0jRLdoayE+ZrtWPknQRXG0O83pym62m0vAA/Pfg8Txy5KihSnRyeL1FsCwnDSKLK0bjQzdm+giY7nIytMRPMM6KXxA2+enDP/QzQr1WJqEIckTTaFNpRArLDl7aPM9ccIKZ1Wez2UXNCXOqOMWDUuD+9wFx7iPVukojS5aemX+b5xiwN1+BWI0dCa7NeSbDbifD72w/R8IIcDa5xvTnA6dw67R5tTZU9MmkxK1Ukn512hDFDHFifr84yoNfo+tre+7JlJ7nSGeG+xDw1N0jBjNJyAgQVm/VWkg/nLjKql/bEE8ejawQVkXkeDZQp22GSWouwYmGoDp8cfIkb9X7u2bfIYitLXOmwP5Qnoog/j5tbOWTJp+tqZMMtxhNldNWl2I1QNkNiNKXXSeodmnaAkhvZU6Neao1Sc0K4SKxZGe7JLnF5a0jcotsxRvUi1U6Q3U6EiCpu5jv1KL4vcaPeT8fWeGNrjGUzy3OlA99xTfquL7qPJedIqU0Ohzf58UOvI7mgxU2Mw1W+cfkwjbk0Sx0BIr/ZHOBcfZJ7Eot72MHr7UF+a/VRoorw26b1Jp/dOsXNah+PD91gWC/vRZJCionnS6T1JrLkMxncZUCvEpItkmqb6+1BpoM7DAaqqLLLYKzeg3wneXN9jPZumLajEw90uSe3hKHajPaVGe8vYTkKZSvEg/0LWK5CXO/ylZdO01iLgStawkpXtPt8xWfLjOOFXJa2M9Q8hVdaMySMDmOBImvVBCPZCuPpMjgSfak6o+EKp1JrOBmbiG7ymzuP4lUCLK738YXlY/zmrYcY14s07QCeL/GBE5dojTsg+1zaHaL6eo7wiorWkvg3197NS5WZvS3UMUOI7hMHS6SUFlVXbA7OBrdouAavVKdZMMW8rOqGKDsRyq5YWHoocqMnnPd4rTXNM6VZZsPbhFWTIU3cRhJKm00ngYfM9e4QbzYnmQjs8q2l/cj4PXm8gEOcDS9wtfVtTuo7WrjRcIXnawKAcTi4zraV4FpnhK6vkdGaDGpVjkdF3OQdSfvF5hhDWoWcLuJQ3Z5tKKG0ud3N8dq3DvP+w1d4IHKDtNJiWs/T8HSqXpCr1gArdgbXk1kycyxYOc619/Fae5pdN0bVC+Ii7TGTAd4Vu0pYtrjeHeYPdx9grj3EY/FrPJq9getL3B2/zd3hBe4OLTClFyg5okU/qRVJKy3aXoCRaJUPTF/ttbaFqjFvxbjRa7mLzKjEsF7aazf2qY095rGCx5HIJn+TP0NnwmLxe0Pg+/gSxBddXvnUXex+epydUpw/+Pgf4EviNowvfvU0wXO2wjJ2WCZ/l4hUxZZ9/ssffhAZMZvuV+piHOCGWDRz4n1QG2xbcTxf5npbYBevtYa5tCNQi8tmHyNGmVG9xIqV3bstdz2NtNziYnscD5miHaXuGrzR2IfjyXx2+xTf3BFSFE1yeaZ5qJcHD5JRG9ScIH1anbjS5mAsz2d27qRqB6naQpDx4czFPYvOkpXd21DeNBP0B2ocCG7x5KiY5R6ObfGh+AV27Bj7jW1qTohndmcFptKJcak5ylx5gKjc4UBA7Hkk5DZz9QHSapORYIVH+m/xtZuHiesdYqqJLgsf83Inw0InR9UOcbUxzCOx66S1FkU7ioJHXBHdo6PxTUxPJWxYpI0WquxyqTHKlFbioeRN9oUK/MX2Xfyna48wv91HX7jJSKJKx9aYiJVZ76b4vZv3E1RsXi1P8Xp9H1Glw5X2yH83WorwVnWcfkN8NwzZJqKZWL5Kv1ZluZPhzcYETddgNFBC6aEXD4U3mQ7s8EDiJj85+hJtL8BdqWWORDc5Flun66tcaIxxpTFETDc5OrzJqfAKD2ducSi+zUS4hKHblDshTFelZgcJKSYTwSJzC8M8WzzAgF7jSnNEUAcV8fzQJJecVudnD73ANzcP0LZ1bnYGeWzoJo4v03R0btT7OZrbYiBeZyBYR5J8vmfyEjI+U5Hid1yTvuuLbs0LUXVD9KlClxebrvAjh96gP9oglavz0Xe/gia5fC1/hJVmCtNV6fYWaIpOlKdWZll5Y4Rb7X5GtDJfXz9EMtDmx8ZeYyKwS8Mzeh/oNk3XYMeM0nbFSUrp2VC6nsbF2gjTwR2icocrjSHm632MRcp7rNP37btGcrDGfD7Ldj1G1Q5R6YZYLaTI16I0akEWKlnOlcZpWAFWGimUAdFmkTry3ozWHDcxJho8+/IxBsdKzA7nuWQO4/oyXaenoMvuUGyGub2TYXQ2z9Z2kpWmIGupuxo3bg/x4lsHkSwJNa/TvpmgURa3h58afoE/WTnLlLGLZEtIrkRxK06338EJghXzceajvL09JBRmXmAPcv7w0DzX24MAPFM5CEBGa3A2sbi3eXggsMVkoMCIVsZD4qY5QNmJ8HTlMAU7ys8OPkdKabIvVODN5iR1T6zqP1c/SN01RGZQazGilfjZwy9yo9nPgFYFoORG2HVFbEHBExJ4XxYyDFdlvtaHInkYks2wXu6F5IN7SyI7doyDxmZPRuCy0koTlbscDm7wueJpZDzKboQb3UH+8sKdvP+JNzgeXqPqhdh1o1S9UI9HK+1Rjo5nN5kM7JBV60SULjdaA1zrDAtwh+QwrpYwJJus0iDvxLnQGue/zN3Ph1IX+b7km2SVBp4v88ncSxw31ojK3R6Huc2OHe8VbbEYp0mumPerYunjSnsUy1eYDhZ4sThNwYoSVzoCdo+Yk4I4TCxafeSdBOt2mjdr48S0Lu87fpl9J9ZZ/CUNxxCLUorpYVRclBWDn/zMT/7fCq6v9gqvCp0+mfqYjJnykU1xE9ZrPr/+5e/lelcU0Rl9h0m90Ps+mUQVkcFc6mQZN4rUnCCXSkOMJys03YAAgShttu0EWbVOWDZJqU3iSgdDcggp4qFvyDZf2DnFS+tTrFRT7DSiLOcz/N6V+9m24hSsKCvtNCN6iT9dO8tGN8HTu4f2Pq8T4RKa5BFWTV5pzXB3T6YwopUwJIcBrcqGleRMZJmcWqNfrTGkVzhXm+BAcAtDcpkx8hScGDPGNrOxPNtWnK8Xj/DNhQN8z8hFik4MTXJ4sznJFyqnSQdavNmc5ExkibFAkdFcmR8deIWzsdvE1Q4ptUXFCjJuFDkS3RBdGStDRmuS0cTscstM4CKT1FpEFJOPjF7iRHyNexO3Sekt/qB4P5dbIwxqVTxfYn9fgUi4y82tHPM7Weotg+12jJjaoVUMke9EqZsCRjGoinTIleYwq900V5tDqJIgugV7bevBoFge+0blGJttcXh6J3bT7o0P3plnN7wgCaXNrhNDk1zaboC8GadoR7lVzRFVTY6nNtBll3U7RU6rsd5J0nQDPDIwz2S8xJ3pFc7GF2n3crVHZtapmCGxCGmIZ2/RjlJ1Q2TUxh6tTVdcPF/C9FSu1IYEva2RYl90lwGjRi7YIKp1effgDeqOQU6rEelF2L6T13d90a27In6waScZM0r80NQ5mm6Aw4kt3j96jY6rEVFNJqNFNl8d5o0LM9jet5NU/fEGvgzndsb4N/PvZn+qwN3JRQzZRsaj6Rp7rc/DwQ0mQiWmgzuEFJOiE6XpGiy0+wDRZt62k5xfGSPfiFKxQtyq5qg6IV7ZmaRSihANd6mWIjx3/QCmq2IYNuZKlMCSQf1SmtW3hilcyrF+aRCWwviqT266iKcAMsiaR6scRLYlJECXHV6v7+NLK0epd8ViyWwkz8n+DfzVHpu1q7BdjZHSWniGD7aEr/ooHQlPATco/t6/XXwPt8wBxuNlrrVE8fQGuuBK5MbLuAEfL+ThDFr84sFnaXhB5jv97NgxkprwBUdUkw0rRV+gQVapc8RYp1+tMa4Vicod8k6CkGxSdcWX46ndw9xoD/Bo8jp3RxfYdJJ8qXCCEa3MlFFgy06yYaU4ENym5oaRJY8RrSwk8a7BrWIf19uD9KkNsY0q2YxoJWpuiDF9F0O2GdeLnIytkg026Xo6HnKP/CUQgIJhvJ/Z4BYaLhYKXi9j2/ZEy0qRBOkIYNbYAlvo9aJylwWzn66vsevEiMldSm6Eq90RzrcnmQgWifb+3qgmgAkZtUFEMXmrI+aAJTfCZ8p38VpjmuPhVX7u8Av0K3W6voIhucSVNitWhpuWiC0s2lnKboiQIua+Oh4NT8jrX7gxw0SgwNe3Dws1nhtmw0rywf5LnI4scyy02ovVefRrImp2qzuwV8DX7RQX10b4/r43eDh+g5PJdX748BvsPmDjGBK+ImbMdtzjX3z0r2kcMcWOgASyBW4AnLDYYrYjPmpHwpw0qT3Wxo5IJG7Af/7c+1lx0nsavA8mLtD1NIbUCgcDm4wYZW63cxwIbvNDY2/wqbEvstTMcL0jinVAtgnLJktmn/hcKUIWEpItrrWGuFgfZW5zgEykRbNlYNoqAcPC6ao8tT5Ln95AlnzydhzLVXj52n5ubuXQJAdDEoeWhNamYRvcG57nLTONh4yCT0C2qbkh7ggvsW6n2HHi3DIHUfBwPIWbnUH+qipa6WmlKeJpboCnN0R7UlE83qxO8Nn1E5xvTxJXOwwFqpyNLdKn1/F6ovUPD17iG5VjvFSbIa50+FZxlolwiYojMKm3ykK8sS+Q74FfVIpWmG+uHcD0NDa6SeHWVWuYnkbH1bhYHGGrI9rsd6ZWGA5VaTSD4Esko21m+3cYCtfYMWP83N3PUuxEmI7vElc6/HH+frY6cZYaYny10UoQVi02zQRTRoGo0qHjajRdg8PhDTJGk1ygzlonyY4ZI6fVOB1aJqM2+dzuadbMNOdaUxwLrjKgVcho4j0pW2EeyC1wo5Kj5QTYasVZ7mRZNrPUzCBz5QGu1QZJ6cKUJJITbdpugAfT8wyFa5i+yrYVp0+vo/Sio+88q9esNPfnbnNPbomOp3Nf+ja5YIPhSJWDoS0CssP9yXmGApU9IIch29R7EdHv5PVdX3TXO2m2rGRPYtAlKnfJaE3SWoumG0CVvR76y2fg7k3GZvPkrRgJpc1EoMB2Ncbhe25TbxnsTxU4GBGn6fmuwOkFJIcNKyVanHaSWWNrz7hh+wrPF2aomCHuTC7T9TTiSptPHD5HtRImqbexPZlvzs+ys5NAaqqUNxOksnWMNZ2d1wYZite46+xNuiMWSldCbUloLQm1LSHbElpdYed2Bjfs4Ro+niMhtRUCJYnNlQxZo8mzKzNCam2rlN0IA3qVmmXgZGxW1zLIERtzLULVDnHkxDKBooJkybiGD5IPsk9wXSN/oZ8XizO8O32NufIAP3z/y8yO5EkM1iksplEmm+BIIPt8Pn9yjysbkq29m3+fVqfpBpgI7FL1QjQ8gyG1Qkppo/cWqKpuiJcqM6x1khyMbfNI/DqGZPOtymE2rBT3pxfQJJesKiAZOa2GIdusmSmicpdBrcL51gSK5HF2cIUdM8ZTtSNsW3Fe7Emsk2qLC+0JEkqL690h7goucndykW9WD1FyBX0oKndxkfhi8SQRRUBWdMml4RksWn3ck1qk25vvHouuc709SMGJ8ssvfZQfOfsKH06eZ8nKcia4RL9Sw/JV6p5Bv1rDkGxeK08yrJe42Bmn7Ahowzs81xOhFdpegL+q3smztYO8N3GZDyfPk1aarJlpLAShp+yGyKp1DgS2mdYFii6tNMk7cWpOCB2vV3BEAf6p0y9xozPE2cwypqeybSV6DtsW43qRFStLUm1Rc8OEetJ121fIWzE2rBRP5Q/x44df4+32ODIeH0mc53pjgE/d83mKpz08BSTPZ+hZ+Lc3H+ejxy/gn62h131k18cxJJwQvIOqdYI+2oaOHnBIv38D2YHkDZ9f+soPsmT1oeOy6SQZ14s80ziELgm+eLg341TweKs7xqfGvsix0GrvM+EQliwejV7D88Xh519tvlcoF4MFxkMl9g/ucDCZJx7t4NgKlqmRSDd5aGiBpNqibht8eecYJ7MbhNNt7plY4o9X7+NvNk9zrjLOUivD24UhJrU6/27p3fzOxsN8qXqSW+1+vrZ1mIZnsNrJ8MyOIKBtWCm6rsqOGRPUIzfIkpUV+EfZ4T0jN5iN5rlzdIXT8VUeGZjnDy7ex9e2DnO1OcSqmUGTXCxfYUCrEldanN8d4URkTfCJFVsw1ZUOcaXN48M3WepkWbL6WOj0UXQi7I/s8DtHPsPR4JqI/bVGeaZykN+9fj8AlqsQUi3ergup+2Rwl0SszR3jK/zw2BucTS1xNrHIyZiAifzY2KscimzyZmWcTKCFLrsEVRtddujYGjXb4I2dcZbNLKtmhqzeZLWbRpZ8IqpF1Q6R0tsMGKLrM6ZWWOxmSWhCcv+O93e+O0DBjhFXOzi+zFY3wZ3ZFcpWiHw1yutb41TsEB1Hw/FkcsE6W50Yl2rD1B2DG70LQtcTzu2A5KDgYXoari9TdsJk1AZtV+ft6ghfWjwqDgiOztXGEJ4vMWCIA6gmu5ieRsESfIWs2iAsmzy3MfMd16Tv+qIbVTs03QBvVCb28qGa5OIhsd5J9k7BLjm9zni0zPcMXSSttdix49zu9nN6aI3FcoZPzL5JULEJKSbznX7ark7NCdH2dCYCuyybWUxP3AQyWhNV9vjswgnKrRAPZm4Rki1sX8FFxvRUBnJVNtsJttbTuE0VWfNAArWuULuVwpd91DYsvznC7WqGMweWMVMeVtzDU8HMOfiKaM35mo+v+niGRzLVxBhsIbkQ7W/w/OIMd48s89F9b6MqonX61K6QFMgBl1P7VxjtLyP5sNFOsNmIY8fE/E6vymgNmUBJwUp4qG2J2VieLxeO8b6hqyiSx1CoSrUcxtd8zEYAP+zgt1WGQjU27eRe26XhGvRrothUbbGuL2ZuOiUvTNdXqLoh/ix/N3+bP8M9yds8nprjUEgsndzqDjBoVFnqiIfPtc4w63YaQxbZQMtX2e7G9yhKd4QX+drWYa6VBzgQyeP5Es+s76flBBjSKih4TAV29gTiJTfMEWOd9ySv8mp9moTcpuaGuGkOcjaxSFITNiKAtNzijfoUE4ECIdmk4QWZ1As8Fp/jNxceJtNfZyJQoOEZHDE2iPa406OaWDZR8BjXd1kppwQEXy+IebYXYlwt0fJ0/nb3DspOmKOhdX4g/RphyUJHaNoUPN7qTH57g7n3NU7I1t4ceEQrYXoqLV9j1w1zqTvGpy6+hy9vHmHXihJSLObrfYQUcTBatTLouGxbiV6kyabhiW3UPq1OULF5sTjN2cwyJ4Ire4CTq+Ywx2IbXOsM8wsPPcXWIz5mXEG2fbwXUvztxdN8cPIKxYdNOplv06nsqI+vgGxLKB0J+ZU4lc8PIXk+SDDwqs8/vfABFu0+FAQC8h0l4EPR6zwUvUFU6ZBWm4Rkk7wb4VZ3ELfXgcg7cXbdKIt2Hw3XoM9ocKExjtZjfs/G8my0E6iKyy8ee4bpgQL//vBnORja4nx9nPFwiQcyC9wVvc0npt9kOlTgZGadZKDNVjPOcj1Fu6vzH3cfpN4NsLCTJam2masN8MTgNS61RpkNbyFJPn+ycpYXCtN4voBT1C2Dm80BsmqDEa3EaKDMsF4mrnSYChWZDBQY0Kv4psJuPcJiLYPpqTRdg2WzDxeZq+0RPjRymTUzzfnKGOuNBLOpHW60B/hK4RhDgQrHwuvcbuc4HN7kidgljgaFrUmXXGaCeb66eBjLUzk1tE5QsWm0DV69PcViJcMzW/u51c5xJrfGg6lbexS3gh1j00yiSQ6v1qb5wsYJDsa2CSsmTTtAy9axPJXT2TWubg/S6upcLI8wESiIQqp2Rf5ebTNilDkeXmM0UOKb1SMs2Bkejl1nNrzV28xuUnYj5DSxIRxRurwndYWVZorVdorb1Qwhw2IqVSSo2HQdlf5wgyulQXTFpdQVnbyWq3OzlWOxnSWqdXmpuI/7YvMUbcEgT6li3yGuCure0YEtLhRHsDyV96Svcn9yHlny0SUH21N4vjTDgF7DkByx/W9leHzkxndck77riy7AUKDCk31XWDNTeD3LD8BkqEhIFjnZHStGULG51RZGIttXKNlhLm6P8L7xa7y8u4+LhSHm2/2U7DBJVWyj7jN29shBDdfAkBxutXP87dun6eyGuG9IZHOjcoeE0saQbDJaEwmYWxhGbimg+Xi2jNyRcSIuiilmpd2Mj9qUaLzSx2w0z7HTixy/8zZWykXfVXAiPm7QJ5RtgQQ/fvdLNK+k6Ys16WZ9mvUg90wskQvURbtUc0gobSKaydn0MtODBS5cnWT1+gBuwmGtlmAkVkHuShi7AsIB4Bg+btpm5rFFvnjzGNc2B7lcH+YbWwcZM8ooAZfsSAVkHyXkENxQuVwcJCybDGll7gyLMPqCmWPHjnMmtsyqJdpQDc9g3UrzN+U7+d2VB3kgtcDdqSWGNOF/bbgGLU+n5gaZCuyw0hCZ0Zwm2mIbVoquL06w70lfJW/HeWr3EA0vyFS8yPpmmovVEcFxjbSYCYv3667gMv1qjUm9sAd31ySXcbXEHdElrnVHAMT4QLJZ7WTwkPeK2nYnRp8iZmXj2i62r7Jg9lNdSDEUrTGlF2i4QfJOnJtWjpvWAHknzoLVz6aTpOEFeXzsBgm5jSJ5JOQ2Mh7zdh8v1/bz0eyb/EDiHOPaLnknQd6Ni7mkbHJHZAnPl3mrM8mLrQM8V5vlYmecXTe4t2m/YmeFRaa9j+ebs5yrTdKfrlFrB3l2ZYa8Gefmej/rXbGtrOBjIUxQKbXZOyBKxOQuuuQwrFeYjeWZb/bxN8U72TST3DIHme/0c7vdx9HQGivdNP/yoc+Tv9/D0ySsGKi7Gp959W6ePHiV6LvzmCnRYpZtER9C8ols+hglv+fvlXA10abOfTHAxeYYUbkjolRqlcnADhc743R9jVhv09vz5Z5/WOFGdwgXiWhPdynmuq3/L3v/HSRJep/nok/6LO+r2tvp6R7vd3bWA7tYYLHwIAE6GJIQjUCKRkeUdA8PRZFHogyNeOlFA9DAg3ALu97Pzo73pr3vrqoub9Ln+SN7m8K5CgWgayLEuBUxsdieRE9tT3d++f2+930eJDx+NHv6u+4L96Zn0WWHnNzkZwae35meHI0F4pOiFWPWLDCgVuhTq0yF1tnsxDiaWyGs2IS0oLI1lSny8NidAMCSWqXp6kQlk3UryfRanmy4zUopRakb4XhqkQPJNXr1Opt2glc7Ezs/BzfbvWxacXTBZt1KMjJa5O7BBU5kF1FElwE1yDmsWil61ToFpc7LxXHemb9MqRrj5blxvv36IcajpQBx60Y4FZ/hLn0eCJLFZ7ujfHLzXtasFHcPLhCRLNJqe6dpISkuHVMhHwmmgTHZQMLjG6UDgUilHIy8626E5XaSrq1wpd6PJjp0HYVCqElS7nChPIhtyRzoWadlBRWuJTO9k0Lv16oUrRglJ4bpKfRo9Z2/U88XdxCQEj4dTw3+f67Gy43d7ElsoIoujbZOT6yJ5ws0HJ17euYZj5aoNoM8jL/dh1/vxLleDpLgb0rcomlpGJ6y3TLxtgN5QTCvL1zn3MIwxUqcHr3Bmp1EF4N0teuLjOtFpmKbaKLN2cYwK1aauW6O5v9/vPwPL1HwKdsxOp5K3Q7xQmWC+U6WqGQQlUzmujmevbqH2UYW2wtuOi1XZ7aT48vXDvOesSt88c5h5ktpTFvhxeVx+rQ6CTkAeNfcMHU3RFi0aLkaTVfnxcVdCLKHFLd5fmUXM50CEdHa0VvZvsTanRzauoxoCeAISEUVN2Wjb8rY/RbSoTqSAVbKw5fgb86eYjSyRUrtMrV/GSfqIzcF8KEv2UDdkhhSy9hxj/F4GV8AvyPz/MU9jOhlLjYGUSQXRXD4gew5Pj9zhJmLg4hxG9GB0IJKsxVClVx82Q8CMCIYwxa+7CPWFa6v9uJtaQiiz5n5EfamNnm9OoKm2QzEaog1hb39G/Q+tMJjAzeouWFsX+Zyd2inA1q0Y8TFLrYvsWKludnto+zEOBRZ4lR+npjUZVJfD7qaXoimp3PH6GVfaIUVK8P9uRleae1GEVw00SYhBZ8rLAa70JzcZCq2ScmJkVVb9PRWyektPnvrGBPxEp+bP8qHJl5j1s7sSLj7lCrnOmOouBi+TI8cjJLqbohTkWmano7ti5xu72LVTuEioIrB+Z6EvxOO+r1zD/Phh1/k7fmrfKl6nEUrS9vT+FLpGAB3uj0oghsQldwwByIrtH11Z+FdtHJc7w7w/sw5euQ6y9u8ahcBw1O4YvYzZwX5gD6lypS2zqnIND1qg6anc7Y7xqqdDoQHgs1UaJ2oZHBv5A4n4vPsSW2SjnQYSlcDKpHm8PTCJPOdLGNaEcNTeDB6i5ITZ91Kcsfo5an6vh2u7ZnSSHBO10mwL7zKPeFpak6Y0VCgozu/NcSimeV9J86x+vA/nNmGlyRe+a/HGYjV+Oj7n0Jtgqv7RFYge9kLvtcEaI553P3TF8j/+AKNkWBX/OIfnmTNSeFug/oVAsXh8jZsoumFcBEDZaYTomxHdx6UAE63dhEWTd6evIzlS/QowWK12k0C8MH+c9s+5x7mrDx/s3EP0908k+FgVC/is2hmg6mMr/Cegcuc3Ryi3Irg+gLXa73clZxnrZPgm2v7AtZ3ONi96aLNQ7um6Q/XiEW7NA2NxW7wvmOSQdPV+ez8MZ4uTQW4UrnLwchyIIwXbRKqwVCowtdn9rNhxoNdsbq1fe8yEPHIh4OsgiwHT8jjU2s7mrm01Obp6l62vDBfqx/ldG2MVTNFv15jxUxxNLbEQKhKXm1yemOUnmSDRNQgGekyEtmi4YSYbuZ4qhKEHsOixUS8hO0HKkxZ9DBsGduV+NrCft6cvw3AC5u7cH2Bg4Mr9Os1jmVXuNAdoeuqHAwvowlO0A6o9XG+PkzdDRGVjG2/bxZju1v/xujX9iVuG0FeQRHcQM7gymTjbU6kF+k4Kp4vYnkyouAjBLECRuNbnN4YpdINI4k+s40sz9WnEICLneEdCcOKlSIuG5ytDRMSLTTdYiBXZcOI03E1Fs1sEHyUgoe/fq3KzXYfBa2JKHhUrAh5rf69r0nf85X/i75Scocvzh3mZruXQ7Fl8nqL56cnqDoR1swkAL98z5Pcme/B8UXissHfzx/mxZldhKIml2oDmC0NpxyiXQ2xO1tEEjzqTpimq2N6CovdLGU7OBN9anMKs6OQzzYIhU0+MHaRPZG17Ru3zBfWj/FnF+/HD7s4YR/RgtCSgpO2kepBgMs3RdrFCPaYgeAJSEdrJHMterQ6h2NLlDsR3vPA6/gyiDY83nOV7LFN/s1L78UPu6x34/iKj9gVUbckPr18F2eu7iKqWDzZOMD/9oWP0F2PItoC6kwIXwA8YDlAtLkZm86QQ3fAJjytIpkCoQ0R5XoYX/ZxV8J4jaCjNldNE9EtLs4Mo/QHqdhHCzdJbMPWG24AjqjaEV6oTbLSSfL1rUMYnsKwFsTsB9QK17sDHIvM7/CY3yDFXKwPEZMMVqwMW3YERXAxvaDKVXWC4NRcN0fFjeL6AjeNPvq1Kk8W9zLfzjCe2OKZFw4jij6n10b44GiAfnu2sZfKdgAqI7UYVsvcsQpYSCTFDmHRZGj7vLVsxxjWK+SVBi/UpvidpbcyEK6hCw5tX0UVAi2fb0nEJINxdZO3JAIaj+eLHIkvY/kyB8PLDClbJMUuX9o8ypS6joIbVNOMAQbVLd4UvYm1bdlZc1I74SxR8JjS1nm5sZs5Mx8wq608NTfM8fAcaanNupVkt7rBiFJmXCkx3S1wu9PDuc4YouBzOLbEx4Zf4kf7X+PDhVf5z0e/yJuHp/EQiIldbpj9KIJD2Y5xqTbA15YP8KXLR/nti4/ydHEKTXaISBb3ZWcZV4qU3BgDWpWwZOIi8K/GvkVC7nChMsh7T51FG2ugNINUstbwWfiT3Xx+4Qj2g3W0LYHomouRFNmeCBNZEXkgcYuP9b/Ej3/429hhEb3m8Zvfeh8QPHzcNvvwEElIba4aA0HgS66hCM5OmGWX9g+CgZhkkJMbgfcYiYud4YAG1U5wp11gTC3S8EJcag7wbHWKE8lF9kdWsX2JuGzs+FyfKu+h6kR4ZWsX7xi8xk/tfplfmHyOla0kZTvGQLhGPtyk6yrcMXq50eljvpPdobWd6Fkiolkst5OExYAnfK4yRKUUR5dsmq7OydgsE9oGhq9QtcPcLub57K1juI7EcjvFE7UjrNtJLtaHWLeSJKUO78pdIiyZjGQrHBte4vGeq+wJrweI29ACd2o5/mz9ISp2hP2xNZQ3mN1ucK/ZMON0XJXDuVUSqkG1HqFcj3KhPEiPVsfyZG6X8+yNb1C0Y8iCS9UOs2RmUEUH1xWZL2Z4/+hlPjV7nJBkU2uH2GpEtn3AUaYbOea7OUxPZma7Gng8Ms9kYpO5WoZrzT5WzRQdTwsyGnKdlqvvdLQVwWXFSNHZfpgo21FUyeVgZo2r9T5OZhaAgLVctqJkYu2dylDHVOhaCvsyG/REGtTtEEk9mIJ0XYVXqru43QhEChfmh3hlcwxR9NmT3Axc05URVowULzYmdx6wz9RHWWinSchdCnIdUfDYr698z2vSP/pFNy51eHjoDjm1xeXmIKrocHJsgY6rklQ6RGSTihPhZ06+QL9e47nN3QiCT3+uhrEUo2aEELoSoiGgRi0uLw2wZiYJS+aOsUgTbZ5Z2c0zr+9nsx4jk2lR2ooR0SyeXN/Dp5dO8KnVk/zV8r1sdSL4tghScHblKdAdshFbwa7XSnrce2AarSghij6u5vM7B77A+0cvcboyhoTHuwav0nBCxPZvYfXZQVXpWh49aaCuKxxIrjFwYANf8ZFMgcW5PFLMpmFplM0oSjN4FJTbAp7so9ZF3HCgXru61QumhNyQUMsyTtjHGTYQHJBsQPWQWyII0F6K0+lo6LJDT2+V+4cDq8e31vdxvdXHudYos2aBJTNNSmljexKPZG5yMjFPWm5TcaLU7BCvN4P/rjtGL4tWNrCAbDtdH07fJCs38RCIywai4HE0skCPVqdqh7fRhQ7LRpqKG2XNTAYQhWiFsGzx2vwooV11FMXhaGGFUa3In95+kLOlIX7v1sM8Xd1L21d3zCU1N+DS9ilV9mmrdFwN05M5Hp5jUNni3Zlg0X5r8ipFN0pEsFh1UvzGk+/lZ+5+njdHbgZQELHDgFphr76yg7wMjC8mRTdK11GCkbFo863GwSCpK3aIiUbAsEXA8uWdMWkgqZd4U+Imh0KL26ANm1dau3cMTp4vkBS76NsqvK6nYvtSkN7c/t8VN7qTto+IJn1ajb3RNb5cOc4npk/xZ5sPcb0ZABcGYjWUkE021eTxnqsczyxxKj7DkfACbV9l2uzhUHiRQaWywzFOSh0yepu94TV+48ATNPfYxBcdlJaHLwgIX8nQbWu8/yPPY27rAkUnmKzoWz7/5423Y/kBJan+jhZOSCB1Q+DvSqe40A3OZN/AG6alNh4BfrNfqfJY6jIHwssogkvJibPlRtmlbeIhEhEDx2peaRASLR7rvc6B2AoVN0rZjqGJLkOhKqNakSUzQ49cZ6GbISxaO93llqMRV7uUrEC7F5O6fGzfKzv3gR/tObODXlUEl5V2kq/P7eN6pYeb1SA7sN6Ik1WaxCSDwUiNSLLLVGyTrquwYmW4ZfZxoTUcAP7bKppm41oiticRliw+O3OMhq3zcnmcl5qTdDwNzxd5U+4ODUtn1UzxN/Mn+cT0Kc52R3ik9zajkS1u1gq0XI2aHeZOI48surxU3UVS6aKJDptGjJzewvfhyMAKHxw8T8dV+YGe8yRCBpdqAyy0Msy1slyr9THXzqJLDiHN4v7RWRTBZSpb5MLmAJrikIp1uDI/wIX1QUKyzY1qD21HZUgtc6PTF4QGQyUUyWUyGnCfNdHmxcYkumgzqa9Rc8MUlKBmNBoq4/kCI/oWL2+OkVY7QbtDcljpppDFAME7W8+SDnXQZIfLG31IksdousKdWg5Z8IjJJl1H2bFHbRkRlhsBFEfVbXoiTQ4V1qhZITqOSsdWMT2JYX0L25eou2EcT2IkUqHuhFiyskRli6oX+Z7XpH/0i+4bPwANRyerBm7GQ/EVUnIw0rvdKLBpBe7IM1sj5MNNfm3PN/ixoTOEhptsVOIICYu777mF1VE4NBR04Oa6OQDmulmeWp6kuppAbooY6xFq1zJ47eCccXk2x9pcltkbfSxe6qNaj6CuKeAFGEY37JHrr+ELYBdspN4Om90YY/cvcmx4CZIWf7r2EFm5yfRWjvfF7rA/tMI/yT/PnkyR/r4Kd9p5PM3Hux3FKji8N3Ge9Wqc4ckNnL1t3nn8Im+fvIYuO6y0k0gW+KIfpJMJYBqeDL7sU7ucBdXDyVn03bWGNWCRTLTpHOrS6fNQoxbivgbD40X0/hahkEW1EyKumpiehCq69EXqrHYSDOqVIGkpd7nR6kMRA4BAWDRZsVJ8YvpuQlLwA/mNxX08szlJ2Y6hi3ZQmygd56nKXp4oHqLp6vzddx6kakeYN/PcaPUFtBy5SUru8NLGOM+Wp7A9iTvtHtxtCXY62WI0XUFXHEpmlGdqe3m2MsWDhRlEwWcktMW17mCQ7hUtSk6caauALtgU3RhVJ7yDeIyLBmt2CtcTSYqBoUcUPD63cYLd+1eY6eR5qbObohtjyQnOSt/Ai+rbwSTDUwIHZ6SGLth8o36Ye6N3mNLWuGP1sGBnuWYMsuVGtxfRDv1ylQ0nONOtuWEigsWUGqToE1JwvuYiklcb1LwQbV9m2srzQPw2k+ENbF/aoYMFfeMkPVKdy91hbrULvLK1i6TS4Vf2PMmDyTv8XN8zaJLD+wsX+NG9Z/kXu57k9doou/UNclKDmhvB9mUSUpstJ0qPXCMpdgJ3q+DwpsxtXES23Ci//eDnWH6LhBUXAzBGTGDsr+CvL9/NxM/cJLxpE12xkLseoYpL5HMJvlg8zi2zj984/DWaQyJazeP6J/dhezIuIlHJQBdtMnKLC50RXD+o6+iCjbpNsbpt9GL7MiUnTkzs0vY0Km6UFyq7CUkBaH+um6PtaZi+zLHYAo/Gr1Jy4kiCx2/dfBt3ajnScpuYZLAnvsHtZoHxcBkPgaId58+XHyAnByPGyfAGFzvDPFfczfnqEI1t1dtd/UsUi8FD0T35ee7vn9vpot4dn+WR4duEJYtXi6Ncag5wf3ialNLhR/rOcM/uWf7p7hcZ7g8CeC8WdyGKHr2hAGaz2EnjImJ4AThkpZ7g5c0xABxX5I+mH+RUZIauq7ArXiYsWSSVINNRMqLUzQA6U3XCLNeSXCr1M9Zb5v7UNIYv03ACx6zpSuxLrOP4Ij/c+zof6DtHWu0QUwx6YwGFb8OKs9pKoCkO9/XNcSK3RF9PwEp2fJGoamK4Mp9eO8mgXmHWyjOoVPjpkReZbuX5zPQxVMEhrbTpkesYnsqqmeJaO2AMZJUmvWqdFSvFo323OBxdwvZF0moHD4G6HUIUPCYSpcBWtJVAEGAsVaGgNymEmyiiS93WCck2l5uDaKLD+/su8O/2fJX9+jJvG7/Jw9lbPJC6Q0S2cHwRYZv/bHgK17oDNF2dkGQz18ow2wpyKYejS2Sl5ve8Jv2jX3RjkoHnC8HcXW3sqKCqTpi80uDWZp7RUImvzh/gkfwtfqHvKcKCyd2hOf7w0GdwWwq92Tqvnp8EX0AUfI7HF3B8iQvNITJKm+ZGDH1Dxg37wS5w+6tab4VA90AMFjY36SAt6Fh5B7Ep48s+D564AYDowEN7b8NchNmbfRxOrnDx+UnUkE3FiPBfZ+7jzw/9LZbvMyJvMSHb/FTP8/REGuyOFPnnD3+Tex65xu8/9CkSokku0WJhpoAwE2Z/ZJWJUJFaJ8Td2XnMtI/gB6lRuRPsegUX1LqIaAdnzLgCd2UX+fDR1zheWObDB8/wAw++xsNjd5jKbxJWLA73rnK8d5n7B+bwEDgRXySmGIiCz9sK1zlTHcX2ZWxPomREef7KFJ9dPM4zlT28sL6LffkNZpo5Vi/00rmVpG2pfPHaEZ5c38OZuRHOXN6F4SiUuxEkPNwekxUjyXQ7z/OX9vDy5hgXW0OsmCnuyi9tCycE6nZww/vO4h6G4lXatorrCeiSzZ16nqoRpM5/aOx8EAzZ7rle6w7So9R4praXkhvnttnL7xz+PHdF53imuS+Q06tbKJK7w4G+agxy49wIveEGb0ldY1DdIi4aXOkM7SAUO55KjxzoA1XBpeJGEfE51xnlSHiRyHYCOi526Zer7NeXOdMcZ91Ocqazi5Ib3KRdBHLbbOpZO0+PXGNSXychtclILfbqqxi+wtfqR8nJDSxfouXqLBtp0nIrgGzITZquzv9z/REuNQfo1Rvcm5nhSHiR3DYF6rnmXk7G54iIJpP6OjNmgf5QjYobYcNJkJFauAg0vUD2fdUY5IXWFDGpi+eLSHiogkPdDaEIDr/1js+wdUAgdbNDz2stJMNh6LMSV4q9tP95ndouLXDtigJqy2Pxz3ZztjFK0w3x+AdfDbCRmsDffOXN2L5Ev1KhX66y5QSWnJob3tEA3jT6ONceRRFc1rYhGTU3wpyVJyYa3J8KLDIHQ8u8NXmVmNRlupXfoYm9JXKLXqXGT+1+mWPZZRTBCfjPkoUseNxuFcipTb6zugeRAFl6o9WHKHh85tpx+iOB1OKpm3tYb8bougpTw+ucys+z2k0yFiox3cqzbiVYsjLcqhc4Hp7nnf3X+GDudZadJM8VdzNrFvhY4UWe3tpDWm/zWOE6R9PLRDSLfdFVxsMlRiNbrFtJbrR6mTdz7M9tsFWLElEtTFMhrpv86epDnC0NMdPIcq3Zx6YZI6aYHEis8bNDzwd+2U4yIN5VI7y/9wI9cp1JbR3bFwmLFj84eJFetcaJ1CIlJ4YiOOTUJvsja/SHa2SUNufLgwjAnvQmY6ESr22OUGmFMQyFgt4kp7eoWyGSWpdBpULHU5kxC9wfWiAk2fzC3udYNLMcDC9h+xJNTycld4jLXXbpmwHm0g2+34JKW4hevYHtB1OApVaKV6q7mIquB3mLkEVItbcXZJ0DiTWWWikS2/envBYswtPdApYvkZQ63B+7gyI4xMUucblL11FYLqZZayW42ujjRqOHTStOVmtR6YYRBZ/5TpYny3t3wrTfy+sfvU/X9QVMXyGrtbA9ObBHCG5QbsZjd6HEJ26d4senTlOQ6/zq7HtZLqb53448yTdLB5BrMlsrPch72nxgzwWe25jgDzce4oHh4AnyVrOA1JQw8y76hoQvBd1DqSVi+TqIfnBeqgaLrzNkgCnhpy08R+TFmV3EY13oNTi9NIIT9RidWucrswexEx5DySbLmykemphm1s5TkBbJSjZNH46qBvek5mi6OlPaGj/YfwsFge90+vnVXd/gC8kTvPj8AWxfYtOOo6s2ZyvDfOidz/G3N+9CG7Awz6Ux+22OTCwyW8kymS2yZUQohJrMtrIkFAMPgevNXiKyRUSyWGkmOZRd46HkLWpuGNNT2B0OqDrStvQhLFqst+N8yThMb7jBnvgGm30xyts3haO5FRq2zp1XR5g4tchKPcFd+SWevHKUyd1FbE9ko5Nmf2KNJTWFKPhk0i08X6RlayD5lKoxnlzO8G/v/zJPV/eyWE9R0SIcTK9Ss0P87NSLKILLmfoY2UyLgtLATgS90yG1HMjg87f5wtoxjqaXeVviCt+uHyQkWaxY6Z1kb04KOoPP16bo02vcn5kBoOJG+bM797H3+ALj4cB2U/OCZORufR0PkSltnRUrw7TZw7qdpCTHeLq0hzdnb7NXX2XVTjEiWNT8CJYvbSeb9R1n6byZIys3kASfM51diILHbbOXpzf3cE92jvcmLmBv7/S2vDCrdmrbwhMmI7eIiNYOU3mmk6ftqMQUg0PxFcKitbOI275EzQsTlwye2ZjkVH6eFSvNexPnuWn0cbY8zInsImmpjbVd70pKHa50hlg3EtyfvENEsEAKzp9vdvvZsiMkpC7rVpLfeN9n+fd73kbuD8K4qoiRloh+JkHl/W3cN3fJfzm4afkSmCmBV796iPQPtikoDUrvNEg9HUIy4Q+/+Rj/9LHvcE94mpjURcJn2U7v9IofiN7iq9Wj6GoQpHIRCQvmzt/lXm2VNSeF4Svc7PQx28kxES1Sd8Jc6I7gIgbUNm2Vc42gP71ipbF9if2JNRqOzgubE2TDbT7Qc5arnUEOxZZ5bmsSryvz0s3dvHnvLQ6OrJLSOoyHS5TtYKQfkmyutvpZaSW5XckhiT6GLfM3m/cQUwyeWN2P40qcKCyhCQ6i4HEyNc+NVl/gXTaSvG/wErYv4SGwW9+g7oYpyVGu1fs4lFxhKZViKFbBcIJb+0PZ23x17RALK1liYyYNT2csGij/NMFBEx2ub/QylK7SjSp8vXiQH+g5z0l9AUXwGFbLXOwMU7ODiU3L1fBUkdutAiPhLTxfJC23yYQ67IlvMN3M0XJ1Wl2NXbkyjifSdlVisonrifTrNRpeiA0zwT2xGeqewgezZ2h6ITqyyte3DvFv+77JVWOQ+W6WiGyyaW8HCn0REZ+Wq3OuOkxGayMKPi074ERXzDAdN3Al9yYa5PQWW0YE05Gp6mFSWoek0qHrBlPIqh0mpXSouWEWrRxh0aTjaXQ8jcVOmv5IjQU/w/JSlhUthe+InJqc5ezmEEfzy3RdhaTSwfTknezF9/L6R7/T/Yv5+xnUK0yFAkdtdDv0YfsSFSfKci3JD05cRMLn9eY4C3N51JshzjdHuDbfj9tj4mk++VSTL80cwrBlxnNl6naI188FhWjBB7kpYqYCQIXbYyJ4AlpJQt/20wqmhFJUUOZ1IjMqYlGl0FNDXtRpX08RixiENBs/5jA304OxHuHggQXWthIomsPplZFAsL6dzEuLMn/XCDRyn5s+yn9YeDsvdYOEX3objpDVWvy7932amNglLFo0OsEP3LKR4uGxOxwtrCAeqVPoreH4EuPpMmutBKYjc255kKnYJmfWhjn9nQNceWaSF27t5jvPHqVSi3IstsCfL97PhcYwouCxbiV5dn03aaVNVmsxa+T5wcELiILPYjPFbCvLRKrEcL7CnsQm3zp3kBvlAn3H12lZGo4jUbND2AWb6XqOlN5FSxk0HJ1evUHFjpCLtEirbVJaB0HxmOrb5LHDV6m4USpmhEYzzP7UOrfrBXr1RsC13dpD1QoFvtxWP6crY+zW1zF8lTUrxaHQEg/nbzPbynKuM0bZihKXDSpOhF3hTd7z8j/l6eZ+rjX7+MHM63xh+ghXm/18vXGYy50hWo0Qk7FNDoaWSEuBazcnN5EEnxmjQMWN0qcGYzbXF1k20izXkmTlBjeMfpqeTsPTqbnh7Z2jheXLvKPnKhA8vHx+4wRnW6PcH77DXDeHLjhYnsSLpV0BI9jT2fICgldkuw/+xmj1ttHL01t7OF8f4lhsgR/Kn+Gx1FV6lSph0dxRJs6ZeTw/SAFPJos8EAvcyMtOcHN+rPc6CbnLHSOgaz1d3cuanSSrNDkaX8TyZWatPFtOdMcOFJcDEP8bZ6DvGrnG4k+6NAdl9IqL0vHQX4oRi3ZZe8SjkxNp5yVcNagVPfGleyjbUX5o73lqU4APsQWBP/72o2x5kW1BRkAUmtTWuGYMYvsy98XvbCv0fJJSAEGBoP5l+AGLuenqLHYzjIdLQZjIU3EJeqh1N8wzzX3crBS4UA+qY29UyvaG13i05yZh2WLezDOkVXitNsa19V6UmMnwQJmIbKJKDrLg0XSDHdt0K4/pyZxKzHIyt0CroyOJHiOpKrLostpJUtyK8+b+OzwQv40u2pScOEdDC9yXCGxEb7wWu1le3Rqj7MRISB3mmllmtrIsdbcfEtUWx3PLVDshilactUqCscESSbXDaj3BXCvDhY0BnivtZqadC2pJmUVcX2CtEedP5x5gzY0hCh4NL8S+0Ar7I2u8tjZCv1Zlppun5WhMhdbougp/dP0BHE+kuT1Sn+3kkCSPn+5/np8ZeJ57k7Pk1Caj8S1OROfJSC1G9C1KTowFJ7MDxbknPI3lyVQ8laoToelorHUT3O4UdtgKkuCxZiYZj5YwPZmuq9B1FDTJ4Xh6iVfLY9uCFYPFZgoPAUHwmWnmMFyFmh2moDX4xtw+QlLQfig7cb5T2sut7ftnWDQ5kVxEE10m+opEs20UzSGS7BKRLSZSJda7CaKytaMN/P8akeq3fuu3OHHiBLFYjHw+z3ve8x5u3779XdcYhsHHP/5xMpkM0WiU97///Wxubn7XNUtLSzz++OOEw2Hy+Tz/4l/8CxzH+a5rnn/+eY4ePYqmaezatYtPfvKT389b3Xk90DNDx1N5S+Q261aga5LwOVsb4SvLB3l8+Dqfu32UL60c5uJWP6ge0rEaz79wEFm3ESoqVsZldTnDo6O38DyRnN7i4vOTaFsil66MMXZsGQiCSYn9Wzw8dZv+w+soB+qwr4mTt5BaQe9VMgRcHdSRFsX5DJ4CkX1VGo0Q9aUEetRC25RRaiKT8U28lTDOYpRuNcQv3P4hLlsZ6p5EzXP4nUtv4VxtCHM5ysydXl5vj/Gl1thOsCarNDnbGuOVxgSvVUexbYnrtR5KRjQAA4guPzv1IvlIi9VGnIoRYb2UYHU+i91V+PSluzDvxPHUAL4hllSO3XebXLrBq/VxltbTLLTSfHtzH+tGnPt7ZlnqBh1CiUAKPpkoktK7zFczvDY7SrkVIal0EDyBqGaxXEzxpp473Hrfv+FofIkPHzvNeLxMx1YZzgSLlS7aFNTA62l6Mq4v4BsSe+Ib3BWbIyc3aZg6yXiH14tDrNYTFM3gRn93cp4P957ehmgING2NNTvFtXY/L5Z3UXRi3Be9zVCkyhcXj9Cv11joZNitb9CnVOkLNZjU1yl1oyzbGSK6xWOZqwxpW/zdtx/kTbvv7OAo15wULuJOBzm4UTu425i5XrWG6SmMp8tIgo9LMHW5sS2kz0gtps0eTC84907LLUa1IrLg8dTCJJ+s3MvJ2CyGL3M0vcxPD73Ahhsweg1fCfq+UpsXW1O80Jjk66WDbFhxDFfhIz2vcEAP7DFpqbW9CzapuUHKNEggB+/9bamrfKZ4d+DetVMU7Rhz3SwDaoWs0mTTTtKrN7ZDZgHar+6GyMkN8nKTiBjoBXfr67wrcYE9kbWApKTW+MO7PoP3eJXGkMzWXjlgMj+ZQdA8jLSAlQi0f74YSBS+8vf30XUVPvbY0zhhAdHxic8K/MJXPxp0tD2FSX2dZTvDfn2ZhqcTEU2KdhxR8PhG9TApuU2PVqfjqjS9EFPaOtfaAxyLBYHKPq1OWLQwPYW6E+BDt6wo+UgLXXKCAI0T4mJtkGvtASTB43B8hZarUVBqxGSTR0bv8PaJG/wf40+wP7LKwfgqo6Ey8+0MA2qFe1PBdKRox3l6eZJD/avoctBttTyZgt7k0NBKYDLb1lxuuYGrNiKaDCpbJJQuf371Pp5Z2I0sepyujAUTim6IXKzFrWqefel1up5KSLLYk9tk04wTjwSWrzvVPJYtM72e51BhlWIzyqWVfmxPIqs0ec/AZX5s7CwjiQp/sPIIc60s3y7tIy83KSg1BpO1Hb2iLgVQlgOxVWTZoxBqcji6xEozyVIrxQfHg8BhxY2iiTbjepEfz7+0/XCpowgOn16+i88XT/Bcaw9/tXk/PZJJVm0za+eISga7IiWubfTy7Mwkz29MkFcaaKJNSLTo0epEZJOs1qJhaXy471UkwUOTHfbG1sloHWKqSUwx6A8HvORjqaB/3fVU9vesB+z8bV77idQiKTlg2a/bSTTRpmREeSA7w778Bu/YdY1stI3nC6TVDu/OX2I0VGKmm+eexCx7Qmvf85r0fS26L7zwAh//+Md57bXXeOqpp7Btm0cffZR2u71zzS/90i/xxBNP8IUvfIEXXniBtbU13ve+9+38vuu6PP7441iWxauvvspf//Vf88lPfpJf+7Vf27lmfn6exx9/nDe96U1cunSJX/zFX+RjH/sY3/nOd76ftwtAXO7i+iKfqR8nLFmk5RYXGkNYrsxjAzdY6qa4a3CRtZkc44kyj+y9RascwRd9jg6u4Is+giugbMmcKQ5zf/8sL766L6jZCCA3RO7M9ZI+WOLQm+5QXk+QU5usXuzFvpLEWo0gl9QA9C6BHfdRDldRZBepKYIH9VoYz5SQmyLubBR7vIuvBGlUN2PjxlxwBSaTRb5QPsEHzn+MH7v1Y2SSwU0hN1nm2P45nlqe5HxrhOvdAS60hnlpa4LVbpLVTpIjyWUEAY6ml/F8EVlwORJd4kdit7mx2kN1K8ZqOUkoYiHGbORNleO7FnDyNlP3zONJ4OVNLiwN0uzqvHR9NwgQkm3GYlv06g36tSoNK5AIuIhUrCC237ZV2h0NvyWTjnR4cXMX6pbI2pUeKGk7T/FfWT1E1Q6T1VpkQy0m4iUAopKB6cmMpAJv51IzzQdOvk7XVYIFRGoR1wxCik1pPUEu1iIk2bRcjWG1jLUdptNEl+OZJXrkOhUrwlRik3OtUb5dP8jhyBInCku8uLmLH86/Rk5u8ExtL2OhEjNmgX8y+BKzRp6j+WWm1HWerUwxcnyFo/FF+pQqOTnQ8EVEM6A5bVelzrR3AQE4JSO1ELe1joYXwAhMLyCkzVk5ZswCVSdgId/q9tLxNO4YvRRCDf7Nga/vCDRutPro0QK6l4hH0wtts5gVvlk7xN/PHiYqmbwjd4X74nco6AH9C4IpSNPTuWH0Y/kSMbHLlhdhUKkwb+YYULeQBI9H09eY0gIy0BvY1E07wZ9ceJBLzUEcT2SXvrljldkwEyzbGRpeUPW42Bpm3U4BMKFusE9bo+XqrNop/uO+v6d60kIyQDJ9JNMndVrFjgWBPjsWTI+0Kmg1+Pbf381fXj9F+0SXNzZ8sVmRPz3zIC4iiuCwaScouXE27SQlJ05eaTCoVNgVKnK91c+gUuGh2E2ars51sx9tO8E9pG2xZUcoKHUSUodxPeBxJ5VASTkUCkhRlidzbaWPZxcnSEgdbrUL9GvVoDssujyQuMXhyBLfrh/kC2vHKFoxPjt3lPlaBknwiIldslqLC7VB2t2g+lJqRlFEl7TaYSBUJaV2ea0yGlRrOvkgEOQksHyJkhNnLFRGlDzMjsJGK0apG2HTTtDqavRH6iS0YJLXclSu1vqomSGm6zmSoS7LjQSeLyDLLmOFMorgkY22EUWfK8VeynaMsh1jrpvj3uQsTVuj2I7StjWmzR6equ7nYGIVRXA5GlviRHKBZ6tTdDwVVXYQCap3jw9c520919kfCio0QXjP4nJ7kJdbk4ypxWC6om4xmSwyFilzZmuElWYSheBo4qnq/kBEYIc5ObDIWKHMntTmjvoyJNksG2ksL7AIPdx7B12wWTOS3J+ZDh5YzDBZvc1AuIYmBe/vDfHJ7vAGe2JBD/sN0lZMMigodZbM4EHuanOAph0ceQyGqriIOJ7IaLjMWCi4L0n4pJV2AOdB+J7XpO/rTPfb3/72d/37Jz/5SfL5POfPn+eBBx6gXq/zl3/5l3z605/mzW9+MwCf+MQn2LNnD6+99hp33303Tz75JDdu3ODpp5+mUChw+PBhfvM3f5N/+S//Jb/+67+Oqqr86Z/+KaOjo/zO7/wOAHv27OHll1/m937v93jrW9/6/bxlWq5OVjJYt4JY+GdXThDXDFTRYbqVZ76RZmMpjZrrcn5tkO5aFK3QQUiC4ShIHRFP87FTDim9S8WKgBAEjwQHJASETZlmWkNNuihlmc+cvhvFA0/xed8DZ/jKU3cDoE/WiYcMLEemvJpAFmDf3XPc2sxjoWCnXdBcsEXU8RYXKoOo6wpWn0Us1aHtqgyGquzJbyKLHnktSMxl88FNsWnpXCz3c09+nhF9iydeP4IYszkyskxWbuG6Il+9fRC3pYArcFEY5eWDd3DbCvjwO/d+houdEa43eznbGeNGsYd9Y6tcnR1AFsG3JOyuzOjEFncqIXYPbLInvkHD0ZltZdmXW+F9hfP8+mvv5q6JeXr0Bp4vEJJt3r77OgutDB4CC9UUZo9DLN/C6KosG2n+2cUfJh9OstZNkFK79OhNkkqHmh1m1UxheTIHE6ssdDKMx8s7xJ3znVFGtRJxxWBXrMRQrMqbUreCnq9o80JjEkVwGdQrFLQGvWotUPmFKuTVBkkpSCHHxC7pZIuaFeLXb72Lg9k1No1gt3wkusSynabhhIhKJi91dvP6+QkePnlth6P8xg3B9iVcJfDCHhCXOdPZRUQ02a0H/ctLWwP82NAZXIIxtOuL9Cg15swCMdkgKXV2tIErVpqGo5NR2ni+yNHoIhDkFNLbqj5VcnfOBHu0Biei83QHVaZCa/QrVZpeiIhsogguZ7tjjKjlnTpW2Ykzpa3vyBgMT2HezHMktIAlBolnRXDJyk3OdMZ4cXMXvi1StUJMRdeDAJirk5bbuIg7RzYdT9tB+Rl+QPuyfYmE1KFfqVJxo/zh/Z/i51sfofclAbnrBTQqXcKOg9wGwRdQG8EirPoC8mtROr0+W0c8MpdEPMUneUnl1/R38Z/u+nvCksm8mWO3vo7ty1ScAJIxphV5JHqDkhuh6YW40h7krtgcDSeEhM+V9iCuL2D7QTL6WruPnBrwwscjJQxP4fXqCFHF5NHdN2k5Kk1Px/JkFowsesgmJhts2kkSUpunlyc5WlihX6txuLDKnWqev125m8lEkYLaoCjF6M/UKXWjDKWqiIKP6cosddOMh0u8vj7EZivGA70z6KLNZ9dO8EB2huPhOSTBQ1FczKqOYcuMJbfoVWuM54KR9n0907xY3c2l9X7GslvcWc/j2BI/dOAcpWiM5XaSCmGWq0kcX+TRwk3OasOk1C66aPPi+i5O5edxEbgvN0t2m0x2uxMwDIa0Lc43R+jTa5ytDHMyvYAiuNzdu8ix6AKK4DCpBzrCc+1RCkqDPqVKx9PIq8G9as7KU9+WmQzoVV4ujweKQtXgifZu4rJB2YyyK1xEF20eCS9ipaWds/Wmq1NQGjQcnZPxOVasNL1qjS9vBQCash3D8QJQxsT24th2RNJqmxudPtqOStmO8cz6bjTJZTK5SUiyGdIqbNoJLm0N8J7+SwxpW+yObLJqJtkfWWXdSpINtem4agDy8HTWrUTAu9YM8n4ROP89rUn/b53p1usBhSOdDs4Szp8/j23bPPLIIzvXTE1NMTQ0xOnTAYLt9OnTHDhwgEKhsHPNW9/6VhqNBtevX9+55r/9HG9c88bn+O+9TNOk0Wh81y+Aqh3mi4tHOBpZ4K/unGJvaoORyBbnb4wiCj6K6BHKdLHLIUxTwQ8F9ZDJfJF35i/jJF3Umkj/8BY3bw7wypXdKP1tBO+/ebLxwZqJUzHD7Lp7EX1DRnAgc6TIRGgTf7CL02txd98iu5Mlmh0NwRYRhtvc2swjSR7yuhbgHG0RPWrx0anX2KjHiB/a4p0HrrA7E3wDXaoOoIoub88Eu5gPps9wMjZHyYpRN3U21lOsGklcBI4dmMOzJc7fGOV3X30UUfDRdRscAcETELsir52eCtSAjsBniyc5vTXK2avjCIaI64os15KoEQu5I6AnDcZ2bdCyVfoGKqS1Dt+c38udep6wbLFkZVmxMuwdWePc4hC9ah3PF1mspNBEh7jaZaaU5bHhmzx08BbHelZ49+QVNNEmKpnEFBPHk1hopZFFl1dKY8hi8PfxQPw2abnNRKTIeLhEzQ5zIj7PbDsXqLm0FiudJIYrY/sS82YOw1NwfImaHd7GG7aDbqpSRRGDY4brnX5uG71suVFUweVHC6cpRJu8vj4UfH8IHh1P4ysrh3hydpK4bPD7LzzK0SOzPJS8RUZqIQkeESHo+AYkLX1nt5/dDirV3TCDyhZtS9lmJls7vdZVO0gX9yh1Xm3uQhFcMkqbPfoaE6EihyOLnG+PoAs2ti8TkmyeKB7i1eYu/svSIyTVLu9Pn+MDiYBk5frC9tmuTEzsMqIHC+2EtkFS7HCpPURYtChsW4QkAib3qeg0pyLTfKZ8N5t2kl+59X6SUoeOp+H6AsdzS/zkiZd5T/4iw2qZ5xtTtFwNTQzoVxCM5lwETE9hTC1yoTuC54uB11ct0va0gH+Oy395299SnRCpjcmBFtDyEbZPmeSOj6cEoSpfBAQIrwlEFyTwQWn76FseuW9r/O7cI4yoZS7VB3i1OcHZ1ii2L3EyPIOIR8mNEBMNLneG2BUqYvkyd8dn0USblhOMl+tuiFUzxaBeZdVIYvoyJSvGbCvLtdVeZmpZDkaWictmYA6rZLE8GduXWeykudAcQhVceuMNdkc2eXJzD4djK4QUm95wg7IZYbaT5VB8hZBssztRpGqEqBkhXpzbxXonTtUOc6iwRtdSeGVzjEvtIZJawI7v+BrzZo5EyADJx3VF9sfWONsYZV9inbFQmW+X9tOw9SAU5SjkU032DwdmHIC01mFfZoNTAwscTS9Td0Lsi6/Tp9eISgYh2Q56/ILLy6Vxzm7nNdquSl5rUnZiaKIT0LEigU6x6oS5WSvw1eJh/s2Nd/FUdR8NVyerNPmb+ZP87fop3G1NZFpusW4niUoGG1ZQzXp/7wXelbvE27NXKdsxdumbZLUWdSfE9UYvr7fGuN4dYN7M4foibUcLjETReVxECkqDuW6OkBQE1XTRpuuppLVgFHy52s+VSh/TzTwzzRwNO6iGFsItTFdippELGhRmMpjw9Nyk6kR2dK1tRyMudulVa9ybmWF3aIMD+jK2L9FwdA5lV+k6yg6443t5/U8vup7n8Yu/+Ivce++97N+/H4CNjQ1UVSWZTH7XtYVCgY2NjZ1r/tsF943ff+P3/kfXNBoNut3uf/f9/NZv/RaJRGLn1+BgEIDo0eqcLCzyGxfewZuH7qCKDt+8E7gxX3tlDyubKQqJJh+57yU+ferP+dzDf4LVUZkuZyk7Me49eAf1SBWfQEagb8gc7FvDHLDoDjrbJp7gPPfmzQEKoSbCwQb2sMk9+XlsX+LfH/8yHzryGp4vsDe6xu5CibuP3OGR8TvIsocqu0jjLQ71rHFy3yyH+lb58vIhwppNs6Px2uYICcXgl/u+QyHU5PVXp7hj9GJ4QT3kcxsnKJpRSpUYWMEYxPNFUmqXI7sWEcMOou7gOiKi6IHu4Ydc/LSFL7JTczp9dYI71waQ4jZyJxh1T2aLuK6Iv7eJ74PriaxP51hbznBls49OQ2ejFicqByahT00f5/7MDPFod8db+fN7nmdPaI1evUFED6576aX9HI8v4PkCz61O8Jnn7+X5q1NcWeinbgQwgtVyEgmPshkNQkGdoOCvizbDoTK3Oz20bI292io/m32BsGzRF6rvSC2utAdJykGC9I1zxzd2pXv0tR105IBaYc1O8Rfr9yPh80uDT2J0VUxH5pmF3fzJlQdQRI90vENBqSNEHcajZZquTtGNca4zxoaboOaFsZHYsJNERJOSE2fJygbJV30ZXbB5bDAYcXqIlJ04y3YazxdYNLPcNnrZH1klIpocCi+RlIJjm+fre7YVYhYR0aRuh2jaGgvtDL4vsNAKHnrbvozlS0GP0Mrx8dM/wsutSWKiQUQ0MbyANXsiOs+IWmLRzHLJGMb2ZcbUIv1SHRWXa+Ve9uor2I7Ep9ZO0nR1cmqLveHg3GrezGN4CuN6iYnQJnGxy4S2gS7YlKwYEj73hKeDzis+32ocpO2rXDaGaHo6Y2qR55t7yEgtfu3DnwER2r0irirgqUGCGT8AxyjtYPwcKnloNT/IRdg+or3t5pUEOl/r4YmtwxxNLKOJDvfH7gBwy+zbeRA62x1jf2iFJTONKjhU3AjrVpKWHXw/fXnxIA0nhO1L5LUm/WqVhVaa2+U8mmZjuyJnGkEHdsOMo0geBbXB55aPUTXCqKLDnJknq7eISgYnMwscCi3ykcHTTESKpNQOd6p5opLBTw28yAsLu9AkF012eGh8ms1mjK6ncl9ymsdHryMIPq9ujHJptR9FdHm2vgfXF3mgMAOST2crzKX6AGk1SHg3XZ21VpxjqSVsT8J2Jd7Zf5W7UgvcbhW4WS2QVLs8lr7C29NXGNeLPLGwn7+9fBLDUzC9YES6aQRj5uOZJS5t9nO91U9WbbHYSROVDHq0Om1HY8uMcLY8zKYZo2sHRyWPD18nIptI2+jd0eQWh5IrtFx9p1JTsmIsGEHmQRFcdNFmxcowoW6QVZqUnBj9Wo0hbYvxaJmEHFS6FMFlWCvz3vS57TS5zLnGyA70pWHrFNQGmuCgig5DoSq2L7HeCOp2XUchqphEFRMRn7ajkgtvp58tjeVuQLyquyGeXJti3swRkwwicpB1eL4yGRDoPI2SE8f2ZJJKl7ajkQ21GAxV/wer5Xe//qcX3Y9//ONcu3aNz372s/+zn+L/o69//a//NfV6fefX8nIQbqrZYZ6cmeL48BIL7Qxfe+0Y3paGXJPxFZ9IzOBAao1vre5lwc5yprMLJWTjuiJPF6cwXJnxdJnNShzRBSfsk1I7SDUZuSHhRDzsQROz4LJ7co2qGWZ3rsTb91zHRWSum2PRylK1w4yGy3x+4RjrzThr7QTPzk+gKTbj6TKT+SJJtUupG+X84lAA7a5HcB2Jys0ML7yynx977WO8OjNGfDKQi8e3O8gZrc2FxSHwQYrZVM0w//WZh9k0YvSEmoQiFmN9ZVTdIRPpIGku0VSHZKqNp3s4MQ8t3aVvpIwfcXGbSnB25sNHel6hJ93gbeM38TyBxZUscltErsgYRgD5MIvBuPLFrQmMrsqfX7mPN/VP8+31vRwJLTChbewU3B/qm+bvvvUgiRnoeGpgfrIU3nn/OWK3FPoKNYbiVeKywd6+DeKyQVpt03R1HC/YtUYlg6odEGCGIhWeauyn6Su8dCXYiX5rYz+jWomWoxKVzB029tV6Hxc7w1zrBvCJjqcxEdokJzUwPYX35i8SFk36pCb/7NBzzBczmB0FpyNjODLlWpTf/sa7eP/+i8y2suTkJv1ylazcJCyYJMUOEcEiI7fYcJIYflAdanghLnZHuGoMsltf52JriBGlTFQyWDVTVJwoWSUYNXu+wKBc2fm+ntTWKKjB+/ti+QRfLB2nR29QaYd5X+ECS5UUt1cK3DD7+WT5fiKiyd7wGovdLPuG1pnU1+lXqqSlForgcKYzzncq+7ht9GH6wenSG37fK2Y/Z7tj/PDIOV5sTfGxiVfoD9dpODqDeoUeucbB0BLvjl9kSltnr77CmfrYNk2rG3CN1QYJqcPZ7hgxqcu6lSAtt1mzU5wIzRMTA4D+XdE5LnRHEQWPf/ZTX0JpBA+vCIGByFOCbq5e9VE6PkrbRzZ8lFZAr/Kl4JcTDhbnc587yKKR5vXyMG1PpVep8npzlH6lyoaTZJ+2Sr9c5U4jT9vTyG1TznTJ4Xx9iFotwlInxUo3tUMrmtnIEVJtfnjiPKIATVvjgcQtltsp3jVwlY6nElJs7iz0BOeLbogT8UX6lSoppc2NbUylJHgM6lUe67/BlLbGXnWT3lSDzXqM9VqcuWaGj028wrHoAl/bPMR8O0NvpMH9PbO8eXSa2XaOiVCRkhXlfGWIjx49TTjTwdkOQJ2rD7PUTVFrhnhuYzePFm7ykaHT7NFXCYsWD6Tu8OHh13hX6iK2L/NSczfPVqZQZYf9w2tcrvZTcSKEZJs98Q3ui96mV61xqm+Bq1u9QbdXNiluQ4QU0eVduUtkQy2ulXp5a/9NmpbGy8Vxmo4ehCg7GWKyGVQHrQQnQnOIgo/tSaTkDpoY2J5mjAJbdoSrxiBn6mO0XJ1RLbBuHYvMk5Lb3LvdrT7XHOV0ewJR8NBFm6nIBlm5yVo3wd7oOg1HZ8VM8cr6GKYnBy7iRJ2+aJ2haJUTyQXSaoe2rRKSbUqdCFvtMGtbCYqdGGe2RgLymKHx3NoEumBzNLoYcOJbAelu3UoyqGxxNLzA+5NniSsGP9n3EofDi9/zWvU/1dP9uZ/7Ob7+9a/z4osvMjAwsPPxnp4eLMuiVqt91253c3OTnp6enWtef/317/p8b6Sb/9tr/u+J583NTeLxOKHQfz+arWkamvb/WlB+cW0XD47N8PwLBxEcCE026K7E8GWfnqkia4sZJnYXqSQj/PnyAyiiy0Oj09wbn+YPZt7MQKTGi9O7UDQHd7TLj+8PRty+AA8/dImQZPOtb53AyrgsPz+EE/bpObrB9dVe8ukG6xsp7p6Yo1evc6E2yGS6yGw9w8rVHpShNo4rsdJMsrmaYjbbZjJbRC54pPQOhqOQ0dqs98a5s1YgGjE4Vlhhd2SDA/oKbU9jX3iVZ80p9JCFKAbH+fMrORDgocwd+pQqV8J9zG8GHsuYapJNNdm6lqOteyhtETvpYjY0YtkKw4NlNk73YSc8dh1Y4bbRx1CsypPzU+zvW+fSwiCu5qM0RPzZEPc8cp3za4NEpKAmEYkaaLJLXDbQZIenGvs5EF6m6elcbfZjuAoTJxdZrozwytYuSt0Ij4zc5u7oLE/qdzGZLJJW26wbCUaiWzQcnZodYkQPqDwFrcGqFTyV9qp1lo000808fy+cIJpvo4s2A5EaF1vDAMx3s9wdnyUimvxk30u4vsiGk6Rox5nvZLdHZ4ElRRNtxpUidU9jWC3xTw68zJ+cewg1ZlGpR3BNiT3HFxnRyzsju2BX7RAXDRbsLDGpiyI49MjdINAjBQszGvzmwjv5JwMvsSeyzqvtCYa1MiN6GQmPlqujiIFFaMHOIgkeG06SC61hFjtpDsTX+GD2dT5XvouvXj4Mlkh4j8mHJl/nVrvAi1sTTMQCR3HHU/lA5gydVBCC0cUgcPWvr7yXsGaTDHV5e/oqr9dH0GLOzkPJup0krzTAg6zc4lJziNVOgnt7p3m2OkUsabBkZYhETXJSmzknHqAUnSh5qcm17gCJbfvWG33Xfq3Kq9Vx9hRW0QWbcaXEgpNh1U6xYqUC1rCnoP/gJtZTPbhasIv1JQIJwpCI1AXJdBHdgOEM4Krb42gv+KcTEjjzd0c48aOXebq6l6PxJR5O3mDVTlF1Iiiaw5YX4dH8Da63+wmJFkeji6x0Uzx3Zze+IzJTynKt08d0Icf+9Dpvm7hB2YzyQPQWDAX3kz9eeBOa5FB1wpjbvf9cT52pyAZXm/1cqgxwd3aelqNRsSMklC73xKbpeBp9cpUL3RF6otcoNaMYTY1coc4/HXqepqfzlc0j7IkHD5pfmj9E29a4PzeD6WbRRJt749PcrPaQltu8Y+w6jidyvj4cjLodGVV1mUiUyMpNXmuMczi2xCdnTnKyd4nRUJkeucaKFQSQslqbVKFDRmmjiC43mz0cSy7hIfDVauCPXu0kGYjVMFyFk4l5zjVGyGvNAEZhZZFFjyP5VVxf5KH89A6F63x7hP5QDdOTmetmyShtrhqD1N0Q9yduU3GjrJgprrb6UUWHY7FFrrQGyWotAK53B2g5Gi1Xo0+rs9RNMxAKqlVBxSfKJWuIsGTxVGUvjichCYEf95XVUfKxFhUrgq1IpLUOM7UsI4kKN1p9nF0bottR6Rup0+zqHO5ZpRILMxbdQhQ8rtd76XY0UuEuvzf3CD8weIG92iqP913D8AJ8pO3LbLlRXAQeT11iw05yuZ0FLv1316b/++v72un6vs/P/dzP8eUvf5lnn32W0dHR7/r9Y8eOoSgKzzzzzM7Hbt++zdLSEqdOnQLg1KlTXL16lWKxuHPNU089RTweZ+/evTvX/Lef441r3vgc38/rzQN3uFzuw0nbCD6Y8zH8uM3BE7OsF5NoqSD8klS6dG0FUfBpOxqfXjtJXDd4/vIUshqcKybjHYp2jLfHrvC19/0e/3vPU7wneYHRe5boHy2Tv3+N5MEyG+d7YCXEejHJcH8A9Z9t5choHV65OsHWxTxyW8C2ZJr1ELWzebR1me5cHFn0mLk6wJmru7hyaZSqFeLmdD96yCKum+yJrNNxA6tNzQ0zb+aoWWEGkjWGkjUmMiX2jqyx//ACT6wf4Eulo7x74DIAthEkiRsdHb/fYGhqE2V3g1271zmye5FiK8rSWgYz7zC0b53ZzSx/PXOS0zd2IUkeOb1FKtXCT9m4uk/4YHX7z65zs9HD7XKeNw9O8+HRM9i+xGOF61yoDFJxo3RcjZat8UjmJo/lr3P3+y9zdamPaitMj9rg3914jNT9G0Rkk7ujs7w1fZWiEUMUfDxfpOOp7IsG482bzZ7AAOKpDOoVRMHjC6+c5K7eJRa7GbbMCGvdOJudOFUrxB2jh+fqUwG8AYhv95aHQhUiksXx6DxdV+XFrQn+busefnftUZ5t7OVyYxA1bOH74JR01FWVXxt+go6nkpbbfHXrMK4vEpcMrpiDiILHhp3kWneQphdg6WpeMN6seWE6tsqclWPZSPPE6n6eKB/iQmOYz60eZ1Jf42hoAV20aXsqT2wd5kJrmEORJQ4nVrjdKvD3W8d5/vokOAKTu1dJih2uNPu5JzHLUKRK2YyyYSfRBZumF9wA03KLy50hMlKLgWSdZKjLY4XrQTI7XCarNElLbb60doSE1CUptYPdvlJlNFTmsfx1FMGlbET5o+kHaTkaN4wBKm54pxo1a+S5ZfZyJLxAWmrx95tH8XyBK90h0lKLg/FVklJQx1hwMixY2R0P9S2zF8NX+fDwazinGsidgJTmqcEO1heDMXJrQMIXAx2gJwuIDoguqNuLsGiDZPic/tIhXr6zK7D2iAZNL0Tv9m43I7aZ0DYY1re4JzZDv1zFQyASM4gku/i+wOGRZVZLyQCAEF1kMrpJzQ0zpJZxfZF7cnO0bDVwrwo+C+sZmh2dy40BDsRW8RCYbuW5UuvnSqmXb07v5ZnaXgxPYc1JkZbavNIdZyBZY8/oGpLoUXJifGb1Lt5TuMhTy5O8XB6nayiEZJv9oRVEwWfWCOxSvzD6DGUnytVaH0ejiwyGqlQ2ErRqIZLhICF9sTXM1a1eXqjsptPReH19iD61ysXOCC+UJ5AFl4cSN+nRGuTVBsfC8xyMr2Ju4w7LZpSFToY98Q3CskWP3qDqRDgeX8D0ZI7Gl9BEm12RErsjm6TlNsNa4LTNKG1qdpjTxVHCosWeyDpToTUycouCXEfdtrhBEAiMSiaeLzAZ3kDCY76TwfYkTE/B8SQm9XUissntVpAWf25rNzebPWiiQ1i0uCuxQFi2tqdmMqlwl6apcWZtmKV2iv5Qjc21JFUjzPmNAXwfZMVlNLJFLGRgeRJVI0TD0Vhqp5nZzOL7sL6VoG2q/Mm1B7AJWOBvCFq23OhOvkIXbCa0DQ5Hlr7nNen72ul+/OMf59Of/jRf/epXicViO2ewiUSCUChEIpHgJ3/yJ/nlX/5l0uk08Xicn//5n+fUqVPcfXeQ4H300UfZu3cvH/rQh/hP/+k/sbGxwa/+6q/y8Y9/fGen+jM/8zP84R/+Ib/yK7/CT/zET/Dss8/y+c9/nm984xvfz9sFCKTR57MICR874REbaNDuaFycGebeqRmul3r4u7kTHMqvcW9hjp/PvMyPT/8wY7Eyt2sFtE0Zty6DBwcfmuc7c3tYaqf4eP+znDUynNAXsT2JsUSZoVCVp9cmkdsC5lQXcUNH7POZb6RJ6d1gt523cEM+d528FZB7tnoouyJKMTgXuV3OIzcF/I6E4MO1l3chSzA0UeXOep4vuEfYWMiwdCTN7sgmj8aucrk2wJ3lAm+avMOWGeFEapFvr+0hqlrsi61Td8J42wGtoWiV3xj7Cst2hpP6MiVP44Pf+TjhXBujq/K2fdexPYld4SJ/uvQgjYaK4AjEQwbPP3mY8IEqfT1VNtQ4rh8kkZulKNgChZEKzy5PYPXLjIZK1N0Qj/dc4yurh/no0KuMRiJcaQ3yaPIqY5lNSkNRdNnmRqs3IMq81sPcQ12uVvtYWMgzOb7GZHSTV65OsDqW4FB6lUtbA+xNbbDWSfDk2hQn84vUrRDje9bQJIfGNgJyPBoknKdCazuggbavBsB/IWDvznay3JOYpV+p8qbETf5z6VGats7JzAIvbu5ifSvBQK7KyoU+JAHSx4qc7Y5xQF/hltlLSLJ529gNPnnnFONqMJk53x5lX2gF1xepuZHAUiPYpOUWfdE6h/QlTG+cY9kVIrKJ44nkQhoSPuc6YxSt4Ezr3ZkLvNCYYkipYPgqV/x+cmoTUXPxXQHDUXi9M87bMtdwfXHnh14XbNqexr+6+j5+fd/X6ZFr2FqQIv5A3zlycoOvbh0lJNmklDZFO05UMpibLfA14SAf6j+9kzoOS4EMxEXg8cJViuk4x8Lz1Nzw9nheZZe2SUw02LQT9Ch1IqJFQjUChaHSoO5GGNVKlJz4doAsuEm9ccbX8TTankbVifDxvS/wZ6++E1cP4Bhsj5GFSDBZMmMCaitYbD0p+Jhs+jSSIqlpl1afhGSCb0rMdPM7aem01NphXBu+wqFQ8LVadVK8NXWNhWaaXKiFLtnsjhQ5kAge7ixfJiyZLFo5BrerVOcrQ3i+QFZucqk+QDhq0qqGSasdXtraxUS8xHQjR8dWaHc1HEvmlZUx4iMGhyNLNN0QYdHko/2v8qXSURa20nxu9Tjv67vEXyzch+uKzK1nkWQXxxe52BlmV7hIr1Kl7kaQBJ+s3OKx/HV0wQ5gLrkWPqDJDrv1Df7TlUfRNZvVVoL7x2bZ7MYCjWarh0fzN/B8kYoT5aPJM3R8iYToctvspeOqFJQGph4sC7YvcSIejFf36qs0PJ2p5D/0UResHDm5sSOTiIUN5qwcb0ldQxOnWDGSRCUT01PIyMuMq0W+UL2LtW6CHr1BWu0EFqJWnvsz00yF1ghLgdKv4WgMhaqs2Sn6tVrAy3Y1BsIByOcNWEndDdEfqlG1w5xZH+KB/jnKVoSeQoPnlieIKib9AxVSegdJ9FBFl5oZwHLeN3gpULImdApKnZdqu8kk2myspxA0l1Zbx/ME/mj5zfxk/8uIeLxS3UWvXuee2AwLVpaWq3MqMs2ylf6e16Tva9H9kz/5EwAeeuih7/r4Jz7xCT760Y8C8Hu/93uIosj73/9+TNPkrW99K3/8x3+8c60kSXz961/nZ3/2Zzl16hSRSISPfOQj/MZv/MbONaOjo3zjG9/gl37pl/j93/99BgYG+Iu/+Ivvuy4E0HB0dj84T0Zr8/zN3RzIr/Pa6Skk4JWbuxgeLCOJHvclprk7NE9EEHmscJ2b7V7WzvXiq6A0gidrWXTheozLKxE+NjPMf7zvC/zUrR+laWiUWhHWYwkk0cM/3ERYjOCpPrlQixUnye3VAoLoI1QUhg6sE1cMikaU0eQWIcWmHI9gLUSpLyaQlODp3k544ArIhQ66ZPOrR79JxYliD0j812ce5sX8LoaPlSl1I/zQwXN89upxfujAOb6xso9WV8NyJD518zjpeIcHJ6dZaqV4U/ImTzYPYHgKR/UVznbHUCoSdiVOz9FNdoWK7NeX+ZvivTtfQz/ssj6Tg4RHfTnB5JFp+qJ1zs8PQVlDtgV8yadYjvOufVf4xu39vG9PAKUXBY/DmRXmzRwHIis03RAdT+M71f2cSs9RUOp8e2s/ricit+DmpWH0TRFhj8GdlQL94TqCI6JJDhtGEIrYF1lloxtjf3qDEb2MlxRYaGfYF1llycww62bp16qsW0lWrAzDWpklM0O/UkXEIyc3mDELGK5Cx9NYsHIYvsJ7By8zqhUDw0wnw8pmIDfQd9cxuiob8xk+6ZxkMF4npXWoW8ECv2IFVB3DD8ZPVzuDZJUWiuCyS9tAEjzmzAJvTt/ithko34ZCFUa1IrNmgeFwhd9ZfJSPDz3H1WY/GSUIUEVlc1t0YPHm9C1udPqQZJcHJ2ZRRJcvLRzif5/6FiUnqDYpgoOLiCR4/MDYJWJil6YXYkINHo4ntA0qbpS6rdOr17na7GcqsknL1Un2NOnYCnU3QtPVWTIzDGlbhNUaQ0ow2p/S1naADTNmiqhkkNk+K35jhN0jB6PWpNTBRWDFzZCRWhi+ssO4tX2JkhdHxKPtabRcnQu1QQxX4aEfOcs3nz+G3BHwBXAiPkbcIXpbxVPYMRJ5khCcAfsBt9yTBVwVwps+0kWZj77lJaatHqbNAgVZ597oHUpOnIwcjDAb24AGCZ939l6loNR5pTFBVm6ybidZ6aZ2NItfrx2m4kT4ysJBBMFnV7rMrW4vFxcG8X2BsaEibVel6yjEZIMHc9O8Xh3BsGX60wGYoWJFaOo6FSdCIVQjI7W4vNqP1VZZaGq8FAoctBHdwjRU0vEOc+UMjidSM0KMJbaQRRdF8BgPlxhQt/hm5SCy4PHI4G3yapNlI813tvbRm2rQE2kQkSyyWouqGeb16ghvzV2n6kQoWjF+OvvidusbOr5A1Q5sXVHJoG6H6NXq9Kp1cnLQAnERdh6cFFw6vkZM6rJo5TgUWmTVTmH4KhI+n924i/vSs4xpRV5vjdGvVZkzA81kUukgCj5joRLLRpp3ZC5zvj2KhM/l9hAHIoGV67Ldj61LDKvB7tLVgj8/qzSxfYk+pcq8GQTTAulHiFN9C8w0sxxKBRjYfbkNLE/meG6JDSPO4eQKK0aSmhlCEjwmtE1EPFTVRRdsVsLBGPsJez+1ShRB8ghHTSrdMBtOgo6n0nICU9O1bnCsGpMMbhgDO8dN38tL8H3f/z7Xsf8lXo1Gg0QiwcAf/FvG9jTIhVrM1zJ0LYWxzBY3VnvwSjpKQ0A7UOPNg9O8JXGNKaXMh29+mI8Mv8ZvvfQ4UtRGvRFGOFJnT36TC5fHuefobV65NoEYdvBMCUHxKOTqbNWiCKLPSLbC7KUBBg5s0DRV6s0wqXiHcjEOpoi+IXPgLYFyq2JFePrSXsSIg++IhOMG1u14EBYRwFN9JEMgcaTMVjXKcw/8AWFBYM2VuGUVeKa2l7od4v/R/01+6NzHMJejKP1twrqFYSl0t0Lce2CapWaKsGLxvt6LqNswgR+IX2TBSfALl3+IXKzF+/oucU94mrav8rEzH0G+EaE7aiGqLl5L4dCeRWTRZa6aobaYRHAF5KaA6AqYWRdf8RAMCTFnkE60aXZ0RNHj7v5Frm718i8nvsOynWamU6BoRjmWWOKVyjjvzl/iPzzxXkQbRk8tsVBOs7dng7VWgn3pDZbaKfYl15HwuFQd4EBqjaatU9AaKGKwo7rUHGJfdBXPF3li/QAP5GdIyW2WjTR5tcnFxiA/lH8dRXCCMxknyqv1Xdi+yIl4EIJ4qbqLmGxyYXOAiGbxcO9t7orM8nwjSA//hzOPkc01+Mjoa5TtGLOdLB1HpWVr5ENNRsNbZOUWFSfCQjfDRLjIofAic9t6w4fjN9hwEoRFk007yZXWAAN6lYu1IGl/b2aGjqtxMjJLzQ1z2+glLQfj3rITY9HI0HUV3pG+TNtTeb05ziPJ69zo9vOO+GUuGIFkQcLf7jPWtylVgdABgsToqpkivx3OKttRJkKbeL7Aup1kVCsRFk1mjB5ORmaouRH0baF4XmriIrBsZ7jWHeCB6C2aXiA1WLO3ZRC4lNz4tvg+IDZFRJNPrN/Hvx/6KnN2GsNXgurQNiCk7MQwPIXrzV5+pHAGw1P4jb/7YdQaOBH40I8+xVdWDuJ+No9k+Ui2Dz44IQHJAsENFmJXFVAbLpLlUfr5Dv9m7zeouWHq273kMa2I5Uts2knGtnfoNTfMhpMECHy5lXEsV+KB7Ay79A1WrAxZucGF9ghnS0PEVJOx2Baq6LDUDpjgs5UsumpjORL/ZPwV/nrxbkxbplaL8CMHz3K6PMrR9DKHI0s8X5vC8UXemznPTaOfPzv/AL4PyXSbU30LLLVT3NnI8TP7X+av7pzircM3GQuVmNLW+NU77yGumhxMBb7fmWaOd+Sv0PR00lJ729ktcaPVR0gK2NMtRyWtdtgw4hxLLGJ6Cqnt6hwEu/mWq2N4Cgn5H7SEg8pWMJLfrsTVtitvzzX3UlAaxKQuNTfM1eYAvXqdhNxh2Uiz1E7TF65zV2xuGzrRpeYGoce4GDRPvlY+zOPZK9tM+ATu9vHRgFrZhp24rFtJNq04d8dmAnqbL3C9O0CvWmPByO48GCTk4KjoWruPHq3BUjeNKjokleDja2aCkhElpXYZCP0DjrVXrRETuzvmLV20WbNTPFefomqFuVkqMJyq0h+uoYkOe8Nr1N0wi0aGpBzwlvu1GgtGhq6rcki8zS8cf416vU48Hv8frk3/6NnLQldkYTnHaitBvaVj2xIzpSxTfZu86eQ17JSHcTNJ29HokRqcN/sZjVc4rC/yo3e9Rk+6QXfA4d1jV/mp3hfIjlZ45eYuEH28rsyb991i79A6liNh1zUS0S6H0ysMHNhgoxbD9wVY0+laCkJbIt7bxAn7LDVStB2NS6X+YPHuyugzGvbNOE7MwxkyEMbbFPYXcTXYms6ADz83/wP8l627WXaS7FaKtB2Nmhni87UT2JZMz54iZlsNFtyGzv0HbzNTy1JphwnLFiNKUPgPixZ/unU/JSfOhyZeZ+l6L7/70lv50+Kb+OnzH8JfCmPkXYRO4PVN9jZwtm3j+3PrJIbqCLYAu9sYAxajU+sggFYV2d1bpNYIY61GMBdizDUz/MToq3xi7d4AamGFeWvmOnPdLHNbGVasNI8/fBalIfC2QtDVPpla4EAmOM+5LztLQu7iIjIUrTKiBzAAgJajUbTjjIbK26q7Dr3hxg4YfUTf2pGaN1ydLSca6PFEk92RTR5J3eB2p4dvbO5nthpAy391zzf5tV1PcG/kDhmxzRdfO8Gnl+/i35/6EtV6BNNTqDphpiKb7Iuv83jhGprocr46xOnaGK+Wx6iaYepuiA07CQQp+tPtXcybOV5tTmD4Muc3B3hmY5KR6Ba/OPAUh/TAsOIioIs2CbnDK7VxrnYGWDbSrHSSjIdLQQZB6iCLLjU3zD2RaTxf4Ga3D4CjoXkOhRfJbJuFbhsBU/bu0CwSHnm1wafm72JUK5KSOzsSkK8v7SO8XXVSxKAeYfsSN4x+Xmnt5rwxwoXuKEmpwy79Hzy1M2YPHU/jcmeYphfahk1I7NWDyYaCy+HECh1PZtrsoeaGyUkNMtvwhZTc5kh4gfflLrDlRBEFj8GHljAzEJ/3+NrqAX578gu8658/R+lYsMuVzCDN7MnQ7pWwYiKi44MI1d0q2leTzJgFKm6ErBxAGpatDCUnTt0NwBgXuiN4iIwoJZ6tBHSlgt7kZGYBRXSC9y641N0IKbnDI723OZBc4/HUJS5X+qlbIdbbcZptnfcNXiKum3x5/Qg/MnSOHx47x3DvFtfqfXxo4DVmW1lON3YxXc+x0EzzQmOKRSOD7wqIskc+2sL1BcaiZUTRZ8HIMJCsbZPVdC53hzmZX+QDfefoVeu8uhH0c8tOjFutgF5WtmPYnszH8i/wtuQVRHzKRpQRvcxb0jfoU2qERYvD+iJjapEZo4AuWN/1cHZYX2KftkpcNEhKbSTBY9nKkJZanOuMMaBWdtoIdSfMjWqBJxb2B2fossFaK07FCnO1PUDT01EFlx65hoSH5UssWlkmokXuGD0BIEMNjEN7QmuMqUWut/upuyEKSp1hfSvgqjtRml6ImGRws93LuF7ilYVRPn/jGOfrQxSUGgejK2TlFqroMNPIMd3McbY6zM1qD+VulLarcrXeR8vRSMvtoDXhqzvwloobxUWkaevcLufZl99gMrZJ29FY6SRZsdJook1ODRSDJSvKkpkmKpn06TW634dl6B//ousFmrpSLUpfuoFV1TFXovzK0LfougpqvgMjHTaNGL+3/iibdpKC1iAiODwWv8zvTn6OL7/1D9g043iI/MToq4QSBnrCBFfgdi1PWmvzX/f/HcNjRcrlGM+u7qbSCaGqDlEtCO8YczFI2LQ7Ggx22bqS4zvTeyivJ/AMGWQPI+9iJzxCqxK+L3DP8Dwb5QSFA5v4so/XVri20MenX76HX7/1Ln7w9E+z0Ejj+iJPLOzng3vP85m9f0MoZvL42HXu33MHy5MpV2N0OyptW2NQrnMiNM+h0CL7wqtBCs8XEWwBuS7xwjMHES/GOHn/Td5+9yVGp9bZ079Bf6KOKPicvz1CVLY43rPM3rvm0TWbnv4ANvHmgzcx04FA3bEkwmsikfE6xUaU//jS2ynowWjoofRtyk6M02sj7MqUOV8LQBpT77jDzXYvxweW+dTscU7EA7LW7VaB6Vaepq2T15qkpRb9Wg1FDFLS9e1+5elGsEAZrowiuBwPzxOTujQ9nbekbxCXDPJyk7Bosmyn+fbGXj61ejcNR+OdPVf4nb1f5EBsZWfRUwWXVSeFEHVYrwYs39889lU+OXNyB105pG6xbiW4UOxnJFLhA/mzjMfLpLTAZvJyfYJPLx3nQrGfuhNiXAvQiWmpzYfHzzAS3+LZ5Qmum/0s2DkUwaXphljdRiim1aCgf748wEI1xd/PHyYsmnxy/d4dIMWWG+V1YxTHC6xG7vaPdVoKRqmi4PE3sydZsLP80e0Hud7qR5UDGfzRcEAVumP08KOj5wCIiCY5ucmEUmbDSTCslnksfoWWq/PZ5WMogkNMNILzWWUrYFQrVaY7edqeSr9SpecN8MZ2mOxUZJq/KD+ws8NctjMYnsKgusUxfQF1u7M5a+S51B7mJwdfwtF9OgWRyqs9XDUGGdVK/Nl7/5yej89SOizjyUFyOTFno7Q9EMBTBMJFj0jR4fN/+AgJKdhdJaUOfUqVpNRhQK2wYGVZNtLc6PbzYmuKN6dvsS+0wuHYEnmlwZhaQtoWFvzVzCmeXJ9CxGdcL5KTAj9rx1Yo16MU0g0SUpdd8TIjsS2+sn6ImU6elNbhfYXzVJwot4oFNowYtifyA/0XkEWPtNJGCjnIqstyNRmEOV0VWfboURvsS6wjCR5fXj7El1YO069VuWP0MNPNM5XepGjGsH2JqhXaTvPXKCj14GvrK+yPrNAbCiYati/xoYnXyMoNkqJJRuxi+xLH9GXGlSKHQkts2gkUIUjQbziJIAfhaQyqW9w0+vn2xl7mzVxwtqutBRhQ0WMwWWNArTCqlTBtmaoRZrqVZ9lIs+VEmbPyXO0MBEhTpR5Y3tQqZSdG09W5Vu9jQt1gzsojblPQAFJyG12wudkJWNSL3Qya6LBgZLC7Crl0g+FwhY6ncbPdx7V2H5ro4HoiK80kqugwEK1hODL9eg1Z9LapaRGWzDRlO0a/XOVvS/eyYGVpujr3pmbojTeYq2XYNONoosNErERYtPD8wOW8acc5EFslJXdYMZKI+FSd8Pe8Jv2jX3T9pI0SM/nA1EX2p9Z55Mh1+vds8tfF+zj/3BRWMcx7py7zLwe/yXikxHNbu/ny6RN88MLHqHlhPF/k87UT/HLPUxzXKvzl3L1YpoJlyCD41Dohrpd7+P2NR1hcyeK7IrLkEt5WixmOzNTxRTzd5+joErpuI0oenurjljVwBRB8BNHH1z38iEO3x0Pc1Lhc7IOiRm+kQWakimCKiEUNYjaGLSOIHpVWGNuVkCWXn0mf5oaV4aHhGUb0MguNDCvNJKGwiddS0GSH3954NPCyih1EPPZpq9xqF/ByFkorgM13e11atsZYqMRItMJdqQVOpBZZqKbQEyay4LLejaOKDvtyG2RCHYqtKGm1zX9+22dYriU5PLqMkfUxL6cQX0twbO88o+EyX1k9HJwLCS6/MPkcp9Jz3JueZa6b5XBiJTDT1DM0S1GutAa51Byg46hYnsRsI0vNDlF24oRFi5IVSOY10WHFSAVibjtE3QrRcjVqbhhdsImJxs4I88uVo/zZ0oM8vbmHFx7+bX5p+CnekblMv1LF8BU6bvDEumBlsXyJ//Pm27lrfIE9PZuUtmEW7xi+zsvF8R3k3YqR5KNjZ6jZIRasLGc2hlhrJ+i6Km9NXQuUZvEGZTPKR3efpmxFqbtheuQ6b01fx7ZlVs0UumDt8IzfWCRqVoi5ZobheJUfHT/HmwfuBOdRsRI9Sp0+ucoLjUnycoOaHSYttVizU9i+TNMLrDp79VXaXY2bRh/9iTqPpy/zWN+NHdG84Qdj3jGtyDFtlb3aKi/UJll2EuTkJhHRxPIl1q0ERzKrALzWGqftq7xmDLNsp9FFm7zWpEcObvpvGJfCornzfjJq8LFFKxtQu7ZrRRtunFkrj4jH7tAGd0XnmDfz/Pjbn8XI+igt+KNPvntHRv/+wgU+8sGn2HjMopMVwQe56yE6PqLtIxseguMTW3b4rVffzrqdYsnOcNvo3eFVu4gciKzw6ZnjpLf9rIvbIJNBZYuk1KbiRPn2+l66psJGOegbX2sP8LX6UY7El/nBwYu8dfwm/dE6v3X67bwnc56FZoZcKGB/h2WbT6+dRBFc/tX+b/NgeppCuMlTpb3oos2qkcSzJKJhg8FUjYoVYUCvMpSqMtsJKEu2J+H5Au8euLwtmJC5Xc8zHi5jexKPxy+R0TpBylcMQA5h0UTCJyc3GQoF6f6nt/YAAfrzkjnAa91RHotfoeZpFN0YMbHL8fAcy3aGBTuLIrj0yPUdaEtKbvMD/RcwPZmOp/Fye5IvbBznaHaZ3lDgKe94GhOZEuPxMvvja+wNr/FCbTc9cj3gsjs6a1aKZSPFghF8rae7Bd5TuMiCHRx/DIfKrFtJml7AKp/uFmjYOi9uTbDUSu3kOnYNFXm49w4pucOimWWlkyQk2fRrNdJ6m7ahklANAN41eJWz5WH2xDaCGlM7y0Rok72hVS4Zw7wtdRVv2w5m+xKGo6BILg1bJ622ySpNOp7KmFZkUKkwpG2Rk5tklSaHYyuUrNj3xV7+R7/o7hrYZHdPiYVOho9lX2Q0VOYHBy4giy6T98/zHx79LA/EbgHw/sR5PlAInvbbpTA/9+SH+cjZH+d8ZYimp/J0Z4DyegLXlPCaCoIj0lmJUp1P8dLlKaQtBUyR4lYcQfAZSNSp1KLk9BbvPXU2KLP/ZRjlQpSevUWUhkhkXkaQfXxHDIIhtoja2ya7r0SzFULsMZjeypEOdUiM1BBtwBdobUY5OriCPRMjG2qhyi4rToj/49a7A0F6Y4TJZJH1m3lam1EQfZqWxrPXp/jo+R/nrDHEK40J+uQmB2KrPDh1ByvhBdajJYmry328Wh2jV6/zNzfu4mqjjx8au0A0ZPLU/BQ5vcX56RFk0eVYaomQalOzw7zQmMT1RDqOipOzEHyIvKnI0cQyCanLTwy9zBPlQ+zVV+lXqmhi8HByLLaIts3o7Y006Bmo8OziBAdiqxRCDRKKwWh8K+j/ijY5uUFaabM3vEZabnMstkBPqMmtap6j6WUScpc5M6hZvNCY5Btr+/li8RiT4U0mE0Xe3xdYUFwE8lITXbDZcqOk5Ra2L1N24sxZeWrFGD/T8zwf6j3NXDeHhE9C7mJ7Ite6A5xtjVI2olxr93EqOctrtTF6Y032JDe4Xcvz9a1DvGvwKvvja/Tqwe7vQHQVTbS52BnmUnuIuwcXCEsWTS+E4QW934oTZc1OMd9IYzoyy80kWbnJieg8NTfCXZE5vrp1BBuJhXaGnNRgKrqOt32OdrkzRNvTeLY6heGppGIdnl6f5OeHnqHh6gyoFerbT+eK4PKuxAViYhfLF9EFl1/qeQpVcAORgBPHRkITHcZCJTacJAfCyyxbGRbNLPPdHF8sHWffNuT+P19/C8t2hg0nwbyZ5/XaKNNmT8Axbo+TlRtMaBs7BibDUwOOsWDv7HLeQFT+4g98DTPjE1v0+MVXf4imF1iAAO7eNc+Rj16leFTB1YLF1xeCm5+/HbQafELk2xt7ycsNskoTRXDIyEHIzfAUHEfkyeIeBpUKY2qJQaWCKrjU3Aiv10doGhr96Tp7Bjb44xsP8Or6CDPtHM+VdmP7Ev1ajVI3Sk9vlZzUZCBS40OFVykaMWbrGQxHIS23+PzGieDP1jross3T65OUjODnst4MxCAAHgJ74kF17mB4iYYT4sHeGa42+7fP94MJy6duHmdvNJh0PJS8hS7YbNoJIqLJiPIPcJWvLe2nakd4V+4S35zbz6S+hi7YVNwIW26Ukhun4kapeWFqboBLjYjmzoPYu+OXuNrsp2zHWDIz9Kp1DE9h2UgTVUwScpf7E7exfJmY1MVwFW7WCmSVYMrScVRycoNJbZ2xUIkVM0WfVkcTHQxPoUerM2/mUAU34DS7Go4XLEvLdpqobOL4wc4VQBaC+Ne7eq5wJBwkq6tOmJmtYNG+3uqlJ9RkMFWj6wb/DSI+hzMrLHXT1O0Qk9HgwfaN4xPblygodSJikLR+vO8q9+TnGQpXMT2ZMbVEQu6waqeIbU9OFMFlRC0FrQStRsf9/wEG8n+V14/1vca/Hf4qH86/wlcbRwC4JzzNT+Ve4AcK56g4UW4Y/fz6/Lu5YAyxVwu+kdN9dQRfQNds7iz2cMvq5eVG4M9VwhZS0uLh49eQ812UQhcpZuOmbbRMl3DEZGMpwPu5HZmXXt7HqpFkIFyjNqaQu2yzeT2PlXUxsj7ShgqiT3hOAcVjb88GxVIcr6jTm6nTXEwwvZLn8eHrODEPQfaIzgYMXnk8SCfW2yF+7PTHeKB3hrFQibql89HcS+w6uMK+qWUeOXQDy5UIJQz6U3U+sRykkyuuzqqZQhUd7r7nFmpdoLXH4qFd01xcHORUdJqf2f8yP9v3HF9cOMwvTjyD2VF46eV94AgM6DXWjCSP9N4mIps8tzxBZyXK7EYueBp9/DzlWpQL9UFiUpd+JQgzLNkZZq08ZTsWxPZdnYTUJa80mYptcl9hjlMDC8xvc1Xbrsrx+MKOAAECdaHnC6TkIO17V2yOXxp/GtuXeLo4xXOl3Xx+8zhjoRL/dOR5fqr3BXZpGzyUuElENPnknVPcMPppeDpLdrCAdLZ/EHdpG1xpD7J7bJ0L3RHW7BST4Y0dF/PPjr7Ap24eDxLKsRKK4CHh4fkCSbXLuF4iG2pxebOPK41+nl6b5OXNMX735lsYVstMqBs8ELvFscgCb0rexPVFLjWHmDdznO+MUndDjKhlfnr0JR4ozDCVLPI71x/ZQVeWnBivzI9h+zI/0nMG25dJS23avorty4xqRXTB5pHUDbbcKILgM5UM2MdLVpac3KBPrZKU2tsoPZmM2MFD4LXuGBHBwUXgHbGrXGoP8Xp7HMcTKSh17hg9qIJLWm5xo9VLQW3Qq9eDVHr9APl4i197/V1cbg9xp11AFl2WzDSjWok9oTV65DoSPnEx2Iks2+kghY6I6wsUnTg9cp0xrcjLtQk+8s5nsWICiTM6v3n57YiCT1Zu8rbMVR5M3uKDH3iezbuCh1ZXF3A1EU8V8GQBwQHzL3v5Yuk4u9UNbF8mKXY4rC9yIjTPrx/6Ou/sucKMWSAptYmJ3e3alUq/XuNHxs+yL7lOVDExWirtrkZIsklrHe60C1xt9iOLHseyK8xZeUbDZb5TO0Ba7TCVKlLv6vzZwgPcWivwd0sn2TRiPJS6jST4LNWSwS5ddv8v9v4z2rL8rM9Fn5nnynmvnWPtULUrh865W61WRCIIhEgmGo4NJtgG7HswF46NbYJljIgWIEACIYRoSa1OUqtzV3flXLVz3nvlvGae58NcvX3PGGeMq/Pxatz1qTR6dKtq197zP//v+/s9D3HNQBQ8Nrsp9sw4i80cXg+jWrEinIyvk5Da2L7EbKLAzx19CUnwqLhRhuQqb7YPsGYEmYS3upM94YdFsx1MFEpOfD9kFxO7zGo7JKU2G1aGSbVATDToeBq6aCHhM63uMqUUMXo0ptfKU73Vh47tywxqNR5N3WJIrbJjpxhXiiiCy/HkJq4nYngKL1QOEVNMlqw8hq9wsz3AUiMbVPisGO+LX+aIvsmoWmbDytAv15nQCrRcDUVwAySn0uBUYo3JZJmE1iUk2eyZcRa6fdTcMOdro/QpTX724EuMahVyaouYbPBk301Cks3tSvCCdCi8Hbi+1TYxqbevJgBqDCpVMlIrCCzaUbxeBW82vEtIsrnWHSbd+9pvWBlud/pZMXPs2klWzByDapW4/H+PJ/6/+3zbH7qPhXZ5rnmE2+Ygj8Zu8ETsGi+35/i9nSe53h3mWnuYhNRldS/DopHn5xa+F6kjcjq/gS/4pCMdZN3hv995lB/IvMG9hxZJxrr8mxPPk1Q6/KeTX+LU8Ab/4vhLKBGLTLxNqxQBV2Dx4gj6poIvwtlrU8TlLuPfvUTpp9po400mD+wi+IAAkuaCAMqeyu1iH4ru4Oke1U4IP+aQ76vzZmkCKWPyk8deo++9m7i+wInBTWxXwjQUwhGD6/UBvlGa5cnsDb7WOEZMNbi50c+ra5MMRBo4jshuI4YmOYQkm7IX4XptgCvlYB8Se6DAgbE9vnFzFnlV57+vPcGqkeG01uLx4Ttc6YygRyw83UewRT539h5uVPPcbPZzT3SJI307+KrPA5NLfGLoLM994yT3TSzzwdwV0lKLohPnQ9nL/N3W6aDDKtoYvswBbZfbnX7CkklKaXMkvMF7UtdJyh1ScoeOo3KhMdaDs5uU3ei+Uq9frjGillkzs3ytcpRb9TzDkRrT8SI/Nvgq42oJUfC4bIyyZuWwfZlv1uZQBZeL9VEMX+kp7AITitgrUzx74xBP5G+yZ8fZs+O9ukWcYbXCudYEH5q+xhuFCdbbad7YGWehm6dqhglJNiUnSEw+PnqHg7FdZlJFStUYr5SnuW0MUHTjxESDshvlreYBPr94gh/LvcID0Ts8FL2FiM+brQNcao+SUto8lrrJ/SMrxEWDcSVIGN81toaIhyh4FNxYQP0yRnpSAZWIaGL7MlUngmnLvLw0TdMNMaDU9ke//VKDDSNNw9MJiw5tX2ZUKVN0Q7zSmuOCMUxUMgNLFSI5qUHdCTGn7vJC9XCgKlQrPB6/wY4djPge6ltEDwd+2pnIHqOhwKYzqRY425zERtof8247AZVqXC1i+RKGr6IKTu/WLfFk+hodT+Wun7qI0vZJ/WOE50uH9oM/ti/z3thV/ux7/xAzLmEkRXwRRNNHMjxcLdj73vyLg/xN6V4kwdvvCBu+zJy6y3F9jQPaHhe64xi+QsGNMaRUORLZxPZkSmaUd1bGEGUPUQysQH16kzPxFeKKgSR4vL49wXPVwxzQAmvN0egG0+ECDw8v8lB+kVDIomvLnEoGu9PhaI0z/RskU20mc2VkwQ1UlWqb8XCZg/FdFs08dSfEgF5nTtshKXV4T/wa35V+h4zU4u7wEmNylTtWP89vz5FWglRyv1zD8iW+UT/Ed89e4v7oHR6I3CYnN/bpaYFoI8UhfZOM2EUlGCdnxDY5qYnhK9yy+lmyc3zP8Hl2GnFqdpgJrUhM6pLu+Zg7nkpYtHimfox/Kh4PgoC+wKHQFt+TO8eh6DajSplRucKH0xc5nNwOOMqhEleNAMc6opRJSG22nRTrVpYD4QKmp/Ds7nzAGPBF+vUGumSz1Qlc4ddrA1TcCO/PXSUsmahCQJQLSTbDapWs3CCrtsiGO9ydWSUttzgWCaAeLgLvtCYDT7dSp+aGiYld4oJJnxp8f0dEkxE1qMqZnrz/jJhUC7iILHVybFpBnsby/5+BHb/tD90Xu4P8eOoCl5ojfL58NxI+mmjzswMv4Hgi2904l1qjPH3fpzA9me23BnGiLs9fOowQdlndyOEWdapbCf7d8kfxEPgXUy/xnvAd7o8tkJFafKzvHX7/wqPgCyQ0A1F3EE0RuSVixz1CeyKhdYVLtWHyoQaC4NOphdh+bRgn4SCZIGyG6Pa7MNZhNlfgyOA2eqZLp6Vx7+wSj/YvoIguriWx3M1yMr1BTm2x0kijyQ4HBorE9KBTdn1piP/88gf4m7fuJaaYjA+U0VQHx5OwqzrOxSSLuzle35nk5899jHI7zIeGrjGg19Flh6WNPoSWjGgJLGzk+fKlY2w68AvZV1lpZ4iHDQYPFNH6Oohdke2dFN+Ru4ThK4yHy5yaXwag5oZJHS5xcXeYmhtm2erjrdYUa2aWp/qvc6fdT0LqogsOf713L8+vz3FE30Dv1XoMX2EmtIsiuExHC8F+Cp9htUzL1am5Ea50R/iTrYf5/fXHWWj3cW9iiR8ZeoOIZJFW2jTdEG1Po1+uU7DiuAhs20mOx9Ypu1GmowVsX6Zgx7F9iahksGTmudgZR5D84GYgGWSVJsvdLFmlxfXOEH1qk5TSQRE9oorJeLJCSunwcG6BM/EV+pQGSaXDdGiPGX2X6UgBWXG5O7VKXqmzaOT3qVH3xxcQBHinO8mndx9gy04F6WWpy5noCgB3jH5CksWf7D7MJWMMD5EHkgsA+zfHSbXA84VD/IfzHwJgy07R8TRm9R3Cqs1YvowiOJScGH1S8IKRFC3en7xMx9O4YAxTdGMMynVqXpi6E+Lze6fReysACY9lqw/LCx4youDRsoO+ZsGJkZVbjGplOq7KiYGAzvTu7etEeI24aJBR2kQEi7av7gfHbhuDgY7PjaIKwdix7EbxglcKRrUyH0mdp/3hBrLhs/e7U3zy9mNU3ChTaoGyF8HwFD70Sy8h2qDWHEQ7eHGSOx6eBOGSx7X/doQNK4NHoF4su1EavsZVY4RJtUBaarNoBijaphdiXCnR8VQWqjnunVzhzOQatiXTcjQWmzmutEcIiRYtS6NWifDe1DW27RSjWpmFbp4X9uZQBBfTk3Hd4FF7MLRFQu4wHS1QNKO02sH3wHC4RsdRuSe6hCK4dD2VUbXEXCgILEEQcIuLBjHRwPIlGp6+v0v88fHXORpeZ1Cu0i/X6ZfrPLd2kOORNf6pfBLDV3r1LhcLCcNTiIgW/VKLshei4em0fRUXgbIbISJYDCpVik5AfjNtmecWDgYd614vvOxGkfBxEVhuZRkJVVEElw8MXkfp6aLSUptVK8tb3SmudUcISTY7VoKqHWGhmw/Gu0gAFJzAtDSpFqk7IaqdUDA67gRrovnoDmPRCkOhGrOJgGgYk4x9IIwu2LxenGTJyHG9O0zb1bgvu4znC5xtTmH7MrLoMajUeDB2ez+s+O54fdeN984Hh2vd4d442SAsBSP9k6FVim6cZ+7McyS6RVgyORja3q9ffaufb/tD963GAf5j4WHem77KxzNvsmDlOaJvoOLxo5nXOZLYJiYb/Pbukyy1slgZFyQfsS2Rz9eI3lKRDAHBFli/MMTbi+N8avkRPll6BBGPJasPRXAQd3QiYZOGqfPeuZvoRRF7shvsmUSQLLiz08cbWxO0NuPoGyr4gCtgJXpKs4SNuBBmtZZmIlJmvn+HgyO7xBSDf1o+wp31fvL5GjvdRPDNb0XRZYfF9T48BLqWQlixUfYUpLbII8dv0qc1yYVaxPSAjZwdqWEnPLyqRmk9iedKzGSKvFGZ5Ktr8+y8PcDYUIm+qTJm3kUNW6TzDZbsDP+t/AAX3pyhVIuiSC6i6KEXROQ9lQutYD95ozHArWIeEZ+/XLyHwWiDzmqcV8rT/P3GSdpOML7Ny3WKRhTbl3i9NoUo+PzyoedQBJdZbZuY1MXyZYpOjMOhDY5F1mk4OmNaiSUzz6vlA3x24y4u1kY4k1rjyb6bfDh7MajOGIOcjq0gCUFNwfAULnfHghGmL3KjNUjL1QPLjKP19qgupqdQsOOI+Dy9fpgfOnKWY6E1JrQiumAzplf4RmGWPTNG1Q6Tkts80X+Ls6vjTMeKaKLNrpkgI7V6wnqfgh0kQAfUGrYt8dml09zqDqCLNhc7gSXF9QXeN36Ds/UJ7kstsWllSEgBcnTTSnO2OsG2kaTp6JxIrAdFfivNtfYwz9aO8oXKGZ6vzQeqtP4LzA/tUHdD7DkJ0nKLshPlZHYD1xOxfZljoXV23QSGp7DrhrllDlJ2A6VbRmwTERz6pQZDWpWncteZ0XcYU4v0qU1G1DIh0eJtI0DAfqL/LOfbE4yrgXWp3qvZfDh7kZoVIqc22TGCvXDBjTGrB/7eXTuJ6Sn0yzUmtQINVw+qIW4IUfD3u7NpqcWUuofhK/zaka+wc5+IaPskPxXlN7/6nRTcWMC+NUY5oO1RfMDBU0QQBXwxOJDkboAikA2fv/jk+3mlOUtS7BIRTb5QOcOmFXSH57UtDusbbNup3n7ZYbGdC9zK3Rj9eoN8ps5uK8ZaNYXZ00gCRJNdni4dRxQ81s0MxyPr1Ls6X9+c4UJlBFH0OZ3fYM9OkpObFK0YSbVDf7rBejXFdCjIPbxUP8ix8Do/lHmdjNwiI7eoOFEsX8L2Za6YI1w1AsxoXDS4bvXj+QJDSpUppYiKx66T4HOle3hsNJC7LzczLFt9+2l2+F/M8N2e+CMuGrQ9jYhgYxO4lCOCxbha5NXyNDO5IqN9FW50Bqk7Yf5y7R4uNMbYsRJcbw1xIrnBkFYjIQe4z61eH7vkxNBFm365zrBaYUbf4Ux0meORNb4jdYGaG2bVyvXaAg7ToT0udsYQBZ/3j95gpZ0J2NC1frbMoNoJMKxV2TJTGJ6C7cucrQdVtvlkAIKp2SGWGlmKVozFdo6Nboolo4+uq7Bo5DnfmWBcLeL6IiIeth/U2b5RmuWlvRnWupmgR69WiEoGMTGwpm3bSfpSTSa1ArtmgransWmlWelkv+Uz6dv+0O3T6mx3EzxdOsHfV++i6MS5YQxh+DJ5KXgbjkkGbVdltZYmNthEjDhI/V2KlTjdPg/Bh9hoAydrk0y12dtJMqQF9YMj+gZJsYM+XadWirJbiVOzQnQHXZ6YvcW/+cDTuCeaQYdVs+l2NLSihKP7+JKP3JKQcgaeAtKuhmQINBZSlKwou+04N9YGePG1YxhrMXxbZHc9zXC4xmIzx0Itx24tjhKyKbfDjCZqDEdrzNy3yuEzKySULp4vcDC6S8dSaFg65ZUUbspBaotIXRFVs6mZIRYLWdo3U/gSrN3s52Ruk+RIDbOu0zVVfu6lT/DFm8eRRts8NX2T7bNBJ7QzbvPYY5eo2BH6lCZLlQztSohv3JjD8wUMVyYyUefitQmqrTBHo5uk5TZNL8RH8hf5/PpJHkwt8FTmGsB+4jYuBrSjWW2HjqfhIWJ6Cj868zrXGwPMxvb4mfGX+N7+d5jVgz18xYnSr9QpW0EXNyW3kYTggZuWW3i9nvHJ2Dqi4BGTDEb0CpfbI9SdEKtGUGMJSya1xTR7VpyyGwXoOXgdMnqbmUiBqGwGIH3B5V8d/zrPrB7iixvHqdkhPrnyOC/V54hKJhNagMNc6Ob5wfm3mc4UeXFjlvP1Ud6ujtNydeKSQULustJIc7k5giI6nG+NMxfa4XBog4lImcVGloTSDYAWTowJrcgD8Tvk1QYno2u8eGeOP916mOfK8xxLbu7Xkt49PL65eYD7csu4iCTFDpYvMa9ts2EHu7SAJSv1FIUqd+xg3/7Nyix7dpJPbz/IrL6DhM8bhQl+/9YjlM0AehAWrd4+MOiU7phBoCepdhlVy9yq9fH07tFgjCcFCeSYFOgA3/14iAyrZTqeSp/cQMJDEVx2neR+uOcLhdP8+oc/T2NcxpcEJr5k8ht/8gn+evNutswUYdHkc4//UfDPewcuAlhxcd/JqzV8vvanD/D/Wv0ISbHLscgGA2oNzxdp+ypx0WBa22XVyrJq5/hI9iIewn6X+VhmG9uRmEhX9jnt3zF8mcdH76BJDqtGFscTaXsao4ka1UKMzXKSmWyBnNpix0qwaaXJqU1GQ1U02eGhkSXqboiCHePRxE0G5Sq64JAR29w2BtFEm9dbM7xQnw8sRGYOXbBpeDp9UpMzoRWSYnDYvd49wF/s3M8P5N6gYkVYtvr46bFvMqkWgp1kr6oVCCpGuNAdJy21CIs2x7VtLERuGEOsOhmebpzgi6XTFNpRRiMVtioJQpLNAX2PJwdv0XQ0No0kIckiK7cYVKqMqSUG1SoSHkmpzXuj1ziibZKWWr0AV4Bh3bZTbNgZYqLBqpFFwmfbSqEILqNama6rcKfVt28mCsk2r+8EVqqNToorzSGGtCp1N8yF5ih5LUgeHwjvsdlJ4vkiji+y2k6jSzZ6bxfcdjS2zeCFMyYa5OQGFTdK2wu80IV2FNsTuVHNc6feR7PX6fZ6pLdZbYf//cCXsXyJ2fBusJaSm8z3Qm3fyufb/tD9uzsnGQzVGdDrZJVWjwaU4GvNo5wz0wypVVY62f1UnGkqhMIWmWQLtyvhJh3Gzmzy2eOf5sDYHpYjI6ou01pQIbnQHeeT2+8JIBiij2dJgfD6yCplMwAp/NihNwg9XOSp8ZscH93AGHBwUg52PCDpqFfDuHEHJ+3gKZCeC4g3HUuBhoJoBw8QwRCJ51vcqPZzc7OfvUICoxzi/vEVDqRLvCd3A010OJVa518Nv0DBiPHc+hwXayMMJ+o0LQ3REFF2FVzdY+zYNnN9e9y+M4QkeUhGAJtHguduHSSs2giWiH8tjtiWcB2RgVSDghnFl+CeoTVOHVrhnd1Rfjj3OmU7QkSzyA3UmR3f4f6hFRZ3czSrYbSShGUq5JUah/RNhpQq1ztDPDywyKvVacaVEjmpwe+uPsmXKydoexrn2+PcNIb48837+dLeCSZDRQB+oP8t7o4tsWL2IfV2mh1PZcdOcqM7REZtUXeC0MiaGRh73k0F79lxNNFmTC0xoFQJixZDWo0Btc5mJ4npyWwYaT700DlcP/i6K4KDh8gRfZMPZK8EurHIHcKixZaZBOD0wAaS4LPXjdE0NF7fnCQtt7F8OXAbyx1OR5b5WP4dvn/qHcbCFe7s5XilcIBv1A/yd0sniSoWb6xN8FJxFtOVKTnBLW6tk2Y8VglS072k5Zy6w6ASOEObbohHDixwOrXGB7OXSUhdNow0b9QP8Gz1CC9WD/HQUHC7WOjmaXg6umDzdOMEiuASE7tMqYVeoKaL4ctcao/x+bfuYihU4zMrd3NjJ8/ztcNc7o4yFK2jyg7HE5v7v58gcR1h14zTdlTKTjRgEHsa1VaYyViJPrmJ4aksmoEru+EFoRzLl+iX62xaGSpOBEVwyMkNclKjt5eW2LJTPJa+xT8WTnDXD13ESEv4kkBy2WXtTj/PffkubhpDuAj85L98GicUPNp8SUDpePiigKsGaMlwyaP+h6N8au8xxtUANrJqZ2l6oV59xtgP19TcMA8kFviJkVcxPTnwM6dLTEZLbHUSNB2NsGgFkoBmmrajca02SN0NkdNbzE7uMJiuk1ANWq7WEyV49CkNTE/mgewSBSNKVDI4FN4mI7XQBRcXgbe6UzxfOMhCN09C6pJSOnyw7woz+g51N8yntx/ktfYMNS9E21d5rnmE5W6Op3LXea01y7H4RuBJlquc7UztM7JtJMpe8MI0re2xYWcouhFuWTmKbgxdcFi1sgypVeaj28yngxXPYxMLVKwIK2aOqh0Abob1Gn1qc79yVXTi+zfqYEX0v6prTU9nw0izYWf2fzZ37CTjeombRvAS/1p9mtdqB4jKJmUjwrnFceq2juHK+L7ArUqekGQH4A87qAEeiW6RkLtBar85wpH4Nm1HRRFdBkIBxvJmuZ+6rXO71ofni5TMKJe7gebzXH2c/3LzSf7rxSdptHWiisVuKcH6XporrWHCosmIUu6Fu2SSUmf/UmB6Ckmps5+6/1Y+3/aHrtXQ2e4mSMhdJrQie3awiH80epOrxjCeL9B1FQxXproTJ6wHVpmBSIPcQB3BkKh0Ap3g/zb6EsZSHHlN5xfe/Bi/t/wE/7BzkpvFPK4rItYUlA2Vu/rWubIWEGsUwWFEqTCTKjKk1fiB/rfoHyvzHacvIg90iGwIdCZt9G0FUXewZzuU72R48c4cg/EG+q6EG/FABDlrIEsuD/Qt8d3zF5E1h9mZLa4UBzh36QBf3TvCkdgmKbnNy605bpX7yEXbHE5sc3VpGF128HKBuP6pey+zU4tz6fIkUlPCvZbA1X2spIevu+g3QmwtZ+mbKGNmXDzNQ6iorO+kuVnM8/BjVxgOVbm6PUhtPck73Qm+ujTPeKLC942dp27q2J6E21YQGgp2zEdcCx6y7yZI3xO/xonwGqv1NC+35viva0+x14jxyuoU//H2U7xWmGLHSvBE/ibv77vKAW2XP7r9MN85dZGk2OFX5p8hJnWpOFEMTyErt9BFm/nQJsNqBU209/u6JSfGktFHyYxSdSIUnTgrZh+mpzCr7zDcC02UrChfvno0mBBEdnoHux+QkvCCao62zevtGfJKnRE9qN7YnkTXDlRvI8kaD40soQgOn924izcrk0xqwQ5KF2xmtR1+JvMqf3Dqs3TtwOpyemCD8ViZMyPr3JdZJqu1WOtmWLcyjIUrpJU2Ij6Gp2D5MresAYpOnNORFepuiJPxNZY6OeJScGDcF1vk7sQy89EtHkvdIqc22baDCcrbnan9rnRObuyj8Cq9zu4lY4yGE+IDpy/zI+k3+MTE2wgCvLg0E1R8XIWfOvAaWblJ2Y3yTPEI//7ORyhaUXJqi7IRYdPK4PkCeaUGwGSoxILZjyR43Gr3I+GjC0GoxfNFXIKb5Hxokw0rg90Lp+iCza6TZM9JBJOl+DZXyoNU5gXsmIxetHjg5E2OvecWf//JJ/iX1z5OTm6i/m/BzUNwfDxJCAQJvaedFQk4zcv/4SD/5sZ3cUTfoOmGWDDzAWVLsDB8BReBI/oGEdHs+YhdOp7KTLRAVDK5L7PMPckVrrSGCUk2quiiiQ7/ZvxrPBi+w7BeZSRSYyZRQBY8NNFhuZvlRmuQhW6ePTNG2Y4wFQ1oau8KITxfYMtJ8s3SLA9lF/lQ8iLHwmucCK9ySN9iXC1xLLTGh/ouB3v38l386e7DdDyVfq3OqpHF9AJAzIYdfC1XenW3QaXK2+0pDE9lWC1jeMGfMyl2GZWr9EsN3h+9vj82v9keoGqFiMomp6KrfHNpmue2DtKvNtDFQJoxqpY4oO2RV+o8Fr5NRmqxYyd5vnaYJbuPsGgypZRpuiFMT+mlp7dJyB1EfJJSh10zQVZpcjK2zsl4IKRIqF0mhoucSqwzEy8wmqjh+wJtN2Agb3RSLHT6qDgROq7Kte4IO504h0Ob3JVcYa2cZrGRJSQFiM6WreH6AjereUZDFf5m7QymL/PGwiTtjobnCcQjBnUz2LPjQ70nUHm3XpSU2lTcKIrg8EcbD/PFzeOMKyXqvRrbt/L5tj90T86uciBSZFQtMSRXOR1e5kR4FV2wORNaYUQtcyy+yUSkjGCL5GNNTgxscW1rkB8cf5uBA0U8T+Q3tj7AF4qn8WUf0RaQtjWahsZ2LU5rL4q5F0bq76IervO124fwLZGVS0M8vXeMN5oH2GonWOwGgYCU3uWe6BLOThjniRrYAqFTZYQ9DbZ1lKaAtK4TVwy6ExaRdQl9pIkesoj0oBsAg+kGSa1LZSuJYAncvD3Mufp4ABKPX+I7xq6SULt8PPk2SshGEV3Eokrf8T3O7o7C5TiRNQnJAulwHTvhBjfvbQUjF9z893aTzMxvMjRZQurvMD1c4DsnL9N1FTquyvfPneNHH3qZghXnv5z4B/q0JutmYFX6QPoyY2NFkHzUqoh+qIbhKdTccFC9QeLrtUOEFJvPXL2b9VIQbHhofIlfnX2Wjwxd5j2Ja6SlNiU7Rs0NM64Et92nJm8AsGFlaHo6YdEiLJqsm2lqboTL7RFWjUB8cLU5zNXmEPPhLY7Egi5pwQ5K9nU36MaqgstUtETXVTg4voMmOr0aU4dnq0dYtwLKz66TYMHsZ0CpoQs2W2aKhNzhZHyd75s4z14jhuOJLDRylJwYh1M7GL0OZr/UoE9q9gQAIiNyg5O5TTTJ4dXlKdpOoD+80+7jYGibiVCJhBR8r8RlI5B36LskpTabVpoNO0hP9inBOFbE308zZ6TWfsBjXCkxq+9wJrRMVm3x/M5Bnq0fZUCpccMYouaGKbgxbpkDwapEsPl45k0+mj5HzdMYUSp8z+xFfujQ26TlFmdSa/uJ8XG1SFwxiKqBxu1oeJ2IYgVJz1iZv929C121SUgd0nKLghPn3sQSG3YaSfBwfXEfpBGTutwxBjikb2H4CoYffK/0y7XeqDnBVzYOs7uawQn7JH5pneaYxsavz3IivsFT/+I1/Ocz/NLr38MPD7+BlZCQrACaAYFExJdAsn18QUBuO6R+J8pPPPvjTGp7+x3YJTvHlFIMkKFemEPaDpeNUVquxoBap+OpVOwIYdFiUgtQrMN6laoR4nqtn9das6w7aYpWDMcXUQSPYb1KwYwxplcY0mtsdpLMRArcHVvmaDg49HUhEIS4CCya/fzyyDN8eetwsH8WLJJiBxUXlQDQn5MbzIV2uCu2wtHYFsNqhVlthyGtiiY6fKM0R78cTCEeSdwMoDhyg/fFrpCTG/TL9f3eqe1LnDfGcBFoegoSPmfrk8xHt/iu/AWW2jn27AQfnr3CR0cuB3UlJ0pC6jKj7jGulDijr6ELHoNSh4eit6hZIc42J3tj5OAm+L7UZTxEdp0g+xCWgknGwcg2b9anUAQH01PYNpLUrRCP990GYL0drNUeG7rDOytjmI5Mx1G5Ve1jy0gypRd4uTRNWLa4aQxytTmMbUt0bYVzeyNYtkxfqElY6TGpXY22qfL89hwzI3vcNbbGSF+VvkgL2xURRR9B8veJV4tmPzU3sv/9WnajPJq7w0P5RWpe8DLxrX6+7Q/di6sjDKh1nikf5Y92H+GyMcqQXKPmhYO9nmhwIrTKlF7g8JE1vn/wLG+tTBCNGPztxqn9/852K8EbC5OEdkU82WfgxC6pcBfLVIguycgtEaeioysO0obOyEgZwRHYqCV5fWeC1Y0cLSfQvAF8Zvte+ucK/Mu5b/Kdd5+jWowh2gKCIxA6VkUyBFYaabBFzJSPIECzEqHaCfHl1cO8sDFLx1Z4Z3kMwRLwwh5IPq9fnaZfq3PLGmDPiuP4gRjhyQO3yOptBo/usltMYL2cRWkRaNR6vW7RFJFMATvlkZyuICVshG6ApEzqXX5s/k0ALteG9yXVX1o9yt/8w2Ncqg7z67c+yJXKEOvtFOvVFFt2ip8ZfwmlLpJ/YJufm32JkhMjLbXYdZL8wcZjnN0ZZacaJx7rEtYtfvbgS3wofZGk1CYqGezaSUpOEMDpeBrLVh+fvhN0jH/x0sdI9zyd77oux/USS0awC1rvpnm5MkNWazEUqlFzw0yqBRJSh6IVJDBFfG4bA7h+AFp/e3Gc48lNwpLFsFphXC0xE9klLFpIgseSmefvtk4zqRZQBIchLUhsLnb7eDB8h1+Zf5a9VpTpeJG/XTzFm7tBKGTZ7EMRvF5CVCQiBi81P5R5nWulASLvhHl7bYzRSIW7EytUnCgtV2PLTO6zk0NSAGa3fZmoZGD2XmBud/p5rTa9z6O2fZnnG4e52R3kuL7OlpMiJzfYclKYnsy/nfoaYcniVneAFTPHV2rH+bPth3i7NsFnSvfzVmOKL9VO8UztGG90plm2cpyOrPDB2GUeDC8yq+9Qc8M8XTnBqpXjgeQCf3Lgc5wMrfJaY4ampZFX6uTUJofiu9wzsIbty7Q9Dc8XGFXK3GwHX/N3d2Vx0cDwFE6E12h6OhJBB3XdyrBk5QmLFr9/8VFO9m3wE/e/zHvuvczPDL1E5Ee2kdsOz/3iwyiCy2///B+jRSx+91Mfw5NB8HwIoG8IHkimj1b3CFUcfFlAcDwGvwE//4V/xufWz7Bg5lmzsrR9lVGlwsXOOMt2liP6Jj+We4WKE8HzBZabGd6uj7NhZXgodYd3qmM82L/E6cw6b5Qm0QWbF1dmqJphSlaEbTPBXjcIFR0NB47keyML5KQGQ3KVSW2Pfrn2f7n1XzeHeHzgDooQvEi1e/SoVTsboD/bU8H3pNHHl7cO82L5IGtWjq/uHeF2K4/jBWzs6+Ywo3KFohuj6MT31wsVN0q/1KDphth1E9zoDFJ0Y5S9MFm5wZ4Ro2THSEpt5qK7+z9jX9uZx/VFElI78CabI7R9letWP19pzeMRZDM+nL1E09FZs7J8uXWQSW2Pphtiz04gCf7+9KDiRKk7YQa0OlfaI7i+SNkMMxqtEpMMClaM7VacEb2ChEcobCEIPhmtTT7cIiJZfLV4hA/nL/N49hZLnRxlM4Isu3QshZDi0J8Mxsy2K5HUgzXN6YENRMFHFHwOxXb4wOBVCu0o2XCH8XyZsb4KL+8cYNUIpBdAgCsVXIbkKmHJRBFdtuwUGeV/hdT+v33+nxWM/n/w85FDl8nJDWpmiAeySwwqNc4bQYDldHg5SPc5fdi+zHfmL7BpZUDwqTfCtNZ1vDGDeKzD5m4KSfEwMz6CC98zfIHfv/IIguDTmnBIDdeplmKUduOok222ikn6jhYoVWO4qoggebzxxiEuTg7TF2thuxKWI7NjJfn+9Fu8NTTOtp0FwadzLYWdD94MpbZI8miJ5ts5pNkOjiNxamiDzVaSUitCJGbQqqsIroBUk5BMgZar8w+VkzyevYXrC3y9fgjTlZmKFHlzaYJcpkk9EsJTfax00A92bsXx8ja+oeDrLork4RoSxw6vUuxGUFyP5W6WfLjBejPNUitLoRNjJFlj54xHPtRk+fIQ2WObZLQOP3vwJfrkBmHB5Ac/9BKvlabYsxNUnTB/3bqXa8UBJlNlfmHu64RFE1Vw+a2Fp1AFB7W3H2m5ejAC8xUiosmal2W5m+NgZJu/XzxFVsnj+UEid0gpsmWngv2K5nKpOcpeN0bXVngsfYump3On0x+MUkWbYa1K1QkzpAUUnF0nQcMJMTOyhyj4DCi1QD7fAwoU7CgbUob1bpr3D1xjRK5j+sH98lx7gpoVPLh0weZgpkDD1lEkl2TIYKue4NPb9/H1/CwD4QYfzl5kRAoA9/9YP0XtegZdAqek8yyHOHZ8g6oX4VpjkFPJdbJKk3Uzw5aRRBdtOm5wcGeVJjc6g5iegiK6gSfVje4DNPbMOOVw0IOMCyZXjRFMTyYnNZnS9ti0MoSlABn4ROI6z9aOYroyj6VuIhGYZTpecPAXrDhfc47wieybjCvBw/e6MkxObuD5IrftDA1PRxR8MnqbnBx0PQeVajAy7QW43sX93RVbYdHsZ8+OE5MMRtVS74VCAk/dJwaFRYstK8VmN4WqOXwgdRnblxnTSvxj5SQ/M/pNfunj38fspzu88vP3on/S5vl7/pBXj43xm3/zvehlCSsqIhs+SsvDUwQEz98fO/uqjB0RSdwB806ePzr6Hu6/+wbH9HW2nRQDSg1FcNiyU9TcMCfCa+w6CdbbaS5sDPOdufPYvkxebxKSbCp2hKOpLb7ROMThgR3KRgQPgbFwhWSyi+EpbFoZRtUSEj6S4FLzwihCIJiIiCYNN5Bl3O7088HUJYpuBMMPbp+RnpDirVYAq/hK8SgZrc1ApMGjmdu8UDzEQKjB3YllVo0sV41h6k6YeW2TZTNPx1O54owwE9rF8mU2nDT1nolpSKuxYWXIyU3qbgRdslntBJWvCa24T5BqW8Fbet2NkJZb+xUvw1PQRJu3jDEkPMpulNPx1f0w36oVAD+yPdziDXMogHKgstLNEpe7yIJLwY7xQHqJr+3NM6DVuVAZoWsFPdlRrcwPTr/N+fpoAM1xVNY7KfJ6E0Vw+futUxyIF4mrXU4ObbLeTDEYDehmO50Eliuhig6rrQyjkQozySJNW+PV4gEOJneJaSYHk7sk5C5VOyC2XakNkVI6GJ7C4dAmW04qcIkbWUa1CntOAvjWa0Pf9jfdh6M3SUodfmbkJUbVErYvsWT0MahUuWUOsmpnWTSCvtjV9jBvVScQ10OIm/r+V6dWjaCGbIayNZy4izDZ5q9W78LuKrg7IQRXoLaSQqrKYIk4loQg+jyQX+Y907dwXZFI3ECtibjnkqxeHWRzsY/yWopntw9SdGOMxGqEtmS0XQXRFBg+UGB3J8XUiU2KW0mshMdYX4VfOvwCd6o5Kp0QYc1iOFHHl3zEzrvBEZ+vbR4C4PcuPY7niyTlAL5/s9lPOGoymSjD4WYgAa9LIHtYKRdEcAZM4tk2o/EqM+O7pLQOj/Yv8OHBK1yrDARvqHqbshHcugE8H3Y6cR657xqfGHqLnNpEFywWzDyrdo6waBFVTL60cZQ9M0ZObfFjB97gicxN+uV6r3vY5f+Y/Uf+Zuvu/Qj/uz/QMbHLV6rHiUoGp2Mr+wCAvFLHRWTFzPFme5q6G8HyZTqeStUKcTy1iSx6/N3WaepOmKeSV/brQTHJYDoU9B9tX6Ll6rywPMtYtEJYtLB7Aag1K0tYNLknuoTty2TVIFFd9IIRecPVScttPpC9AsAzlaN8LPc2i7UsguCz+eYQ2WibAwMFGobO2dVxVsw+bAR0wWOlnSFUEHh3OuXuhXi5FpDPPtgX/Ddfqc6w3k0xpNeoOyFGtTIS3r5FaUSvoIoOshhgG/fsJEfDGxyNbrJs5bB9iXUnxZy2w5heoeaGmdN2OFcbZctMca09yG1zgHtii9yXWCQjBUnUEbXMA5HbvD95mcfjNzgc2ebf3v4ufnP9g3y2cg9b3SRfqxzlndYEf7F3P681ZrhUHuZWMfh5GldL2L5MvxwwomO9jmlM7KKLNiU7yqgWBFQqvZQ40IPtx1AEhwGlyst707y9M8rvnfg823ZqnxqVVAK93K899iXW3h9HaZg88yuP8kZ3hPeG1/nCj/4Ou/coiA74ooATEjGSEt203PtZETAyMpIVqAJ9CdKXBa7+zWF+9rM/Hhxociv4PUtdnqkcCRSGSoVHsrd5cuo2l9pjVJwoea1BWLQIiRYLzT4ulYe5sddPRm/z/txVTE9mPrTJpFZg1chwqzvIlpNi3U5zsTOGLths2MEB1/E1snKTV7YmUQRnf6wZjH5DzGtbSHjsmTFatsap2BqPZu7wanWawXCduWjAYX48fp26EyavNFi1c+xYQWp3Si/sv5gFCsagn3sstMa4Gkgu0nKLiUiZrXaCN0sTbFpp9uwECanLe4ZuMahW9/V+LgGBquTEOapt0PY0RMHbF9wrgkNEtIj11H5BF98mLbX4cuEYF+ujbLSTXKsNcr02wHo7xZ4d54m+W7y4PUu5HUaRXF7cncPwFSa0AoOhOrLocndmla6jMBPZ5R92T5ILtejXGgzrNTZbSUTBZ6GcIyJbtCyV+fQuUcXE8iRKZpSYbGB5MhHFxPJk7s6sstlJUrUDyM2h8DZb1QSX6sM0HJ1r3WEqTpQ7xgDjeomKEyEnNzG9b/3++m1/6H69MY+It49MC4smT8avckjb4agWdPLWuylud/LcbPRzY6sfJ+YhdwRczefk2Dr3TS9jNjU2rvWjZ7rkk02KewkmRwvoRRGpIyL4IFoCcktC2NPwijrPrBzixaUZ7GKI9nYMOxaMutS6iJCw8CWfYjXG35Xu4u3z0zgRH2+mjT3bpdwKI0geO80YyXyTDzx0nqf6r7NjJ5lMltEVh+r1LDcXhkANfr+SGaRtS4sZ+kNNfnD+bcZCQUDoruQKni/QKkR48+o0liFj5xweefQKIyNlzhxd4v65RY6Ob/Hw8CItW0MQfJ5I3WBUK/NicY6haB1Z8AjLNiHZpi/WYrWawnEliq0Ipifz6fUHGNKqvNU8QN0J83zpEN8ozXIkvs2PTrzBd2QucSSySd0JOK8uAi81D1JzI9TcCGfSazxTP7Yvm5eEIK5/bzw4DAxPoeJEuW4GqcJ3b0MAf7V6F3U3xKvlaTJaQLX68GBwcOmiTdGJ0/R0LrVH2bESSHiMqyXGtBIFK4au2Xi+SFgy2bES3O4EoATDVyg6MWa1bU5FVomIJioubV/d50e/Szn6jswFbF/mRyfeoFaJ4sR8ZMFDFHw8H1TN5t7IAqt2kqKnsdFM4sngqaCVJeSWwE4nwbaZDHbKcoe81uBIbIuwaDGqVfa5uJvdgAX7ZmWSrqvs82yNHljE8GXerEzS9jRumwPU3DDbZpJ4z/JzMhmM145GNxlUapScOC7Bw/1sZ4rLnTGWrT4MP7jJiILH781+ng/nL/NA/A4Dep2QZPNWcZy1Ropvbh5g/WY/7UqIz2zfy6uNGe4YgSEoJtiU3Qg5ucGGnUEXbMb10j5oPyl16JfrhEWTmNjF9mU2rQybVoa19Sy/cfhpGp7OtLaLh4jtS9wbXaTT8/L+/Me/RPloDKXt8D9+9WOsOQp5yeMXPvYlCqcEXAXMuBiMmwEjLWOkZSTzf+nEfSE4eENFj/w7LoXfnuSXP/tD/NrSd/Cp1UcBOKxvMK6UOKJv8L7UZTTRYcdKsNzJcqE+gix6GK7MVLzEZLZMWLaISQaa6ND0Qr0DyWfTSPJm4wCX26MMKDWerR/dR6RavsSmlUburSDGleDlZdXKYfUCTt+ZOscHM5f5UP8VJDzeaYzxSOo2jyRu7jO1P1++ixl9h00ruKWbnsywWkESPMaVEn1yg0UzeEGa1Xb295X3hJa4Y/Tz2t4kx9JbHIgXWepkCUsmGSkAoDTdENtWqjdpCl6wFrt9LNl9PZWfT0ZqkZZa1N0IRSeGJARgom0nqAa9Wxv0EKgZISrdMBvFFB1Hpe1oAe1KsTmc20USfeKawbn6ODU3wmPxG6R6l4nRSNDZFQWfjqPuW8eGozU8X+CugTVGQxXiqokmBdCO8WiFkGRzoTSC5UoMh2vIgssbxUmals5qO0PTCb7ffvLga9wq5rlaHWRYrWD4Mmm5zYXGKANqjUm1QNWJfMtn0rf9oWt5Cr+z9l6+Wj1O1YnQL9fJSW0kfETBQxds1ptpXlqa4c52UGXomyhjzXSZP7nKQjnH69emEdoSoiUwkS1T7YQIL6gk1C52zOcXP/Q0J04t4oZ84gfLSKaA3BUYTDawq3pgEgJczceJ+jDfRFnWCa/JuB2Z11cmCQ216Du+xz8/8iqfOPw2I6kaP3/66/zc7EvUylEySpu01ObV4gFmo3uUSjH0kgCKR36ghtnnYA7YOBEfP+oQkw0O6HvYvsRLu9P83fop1hspjsxtMDhe4qHpRQZHyizUc3RthYVyjst7g9wu9HGn0ccTuVvc2cxztjnJO40Jvm/gbUZCVb65NM1WO4EsetybXSGum8xmCxzPb3Gz3EdcM3h65xi360ERfSxc2Y/tJ6UOy1Yu6OOJTvCA90WejF8NkpuixdHwBu8UR/cfUBIeg3K1p5ProgguCanDtfZQ0N/1Ba41B9kwUsykirxePsBsbI8RvRqkcT2Fk+kN6k6IjqfxTm2csGQRloJuqSI4TKoF3imNcbp/g+OxIDkZlixCksWOlaBgxdmxg8NqUi2QFLtsOalAiOBGOKWvMqdtIxIEmDbsNP/t+mN8//G38dMWw5EaI5Eqjhs8MPulNrpo81p7lqhq0Z62cEI+ZsrDl2CrmmC1learu4fRBZs+tUlerpNX6pScKBtGmqzSomhGeb0+TdtRGdZrOJ7InhVnpZuj6YY4pq8zHSuyYWeY1XYIiyZHoxuUvUggllBqPQ5tZz+tWndDlJ0og71/1va0oBrXGiMpdUhLBvPaJjU3QkLu8kjiJqrkMp0sMpmq4EcdpJDL7a0812qDfO7mKb5cOMavrH2UX7jyMS50x3F7h2bHU/dvw5NqkO7esDP0yU2eiNzk4ehNdq04n3z4s9w2BhiSq0j4+zcpRXAYVKpUnChJqc0//9f/SCevEtnq8uO/8684Z6ZZMvr4zQ//LcWnTHp/RGTDw0wK2NGgRuRoAr4IsgFKx0d0fXwJRMen/6yN8ekBts8NcDy2yYLVz64b55Y5SNGJk1WazIW2EfHZacdZamURBZ+02mYyWuLNlUlerB7iUmWYv988xddKh5HwmIkUqFhhTkbXyMlNpvRCD1jhsmZl+cKd43zn+GXcXn9YFy3mtS10wabmBYdq0YmjCC5TagFF8Nixk+zZSWp2mEUjz73xJSpulHujiwwpVc5EV/Zv7ioeSbFDVm4i4vNqc5ZdJ2h2KILH7VaeHx57i8VmjvvjC3i+SNWJsGGnKfWmEC036La+O6k4GtnY55dLgseWnWLNyvFw5DYxyWBIDljfaanFkBysHdwe4tH1RCxHQg9ZNC2Ns3tjlK0AwpNWO3xw5BpHE1tYnoQqOLxYn+eV4gF2jAR2rwJkuxInkhvBasQOc1dyhdO5dfq1Bh1XZTpexHRlDFdhu5OgbutEVZNCK8qrW1NklDazyT12mwG45Ea1n36pxZnQMvcPLzOTKKCLNnUnzPVWUHF6tToNwPHw2rd8Jn3bH7ptV2EwUudaZYCLtRG+Wj/Oc615yl6ImhvmleoM04kigujjNhV8V6B4K4tfVbl2ZYzj+S3EkIMfdfGGDCrdMK1iBDPrUbdCiA78529+gCtbg/iyT3U9SOD2Hd9jPrlDaDtQAOII+GEXdaaBfzOKlfGwkj6RBRVWw2SiHd4zcAtFcJnQivzC6PNoos3bzQl+5NQbKILLf7nyJO/N3+Ct0gTSjkbrgI26rbK3m0RwggNYaYjoGypNJ4iw257E3kKW3a0UbUPlvbnr5EJtHk7eRpcdqp0Qpc0kzVaIVi3EmeE1Vktpbnfy3DO1wpfPH+fFC/N8Ye80l6rDnBpb51+MvUSlG0YSPGTRYz62Q8vWiOsmYdni4dwCEcVCEx3ORFeYieyy2s3wq2c/SsvVUUSHDSPNupnZxz22PY2321PsOgm+a/gSn9u7qyfArtP0gjF2zQszpARjrbhsYPkyumjTsHXajkZS6ZLTWwF9ppNjXC3hISAKAdrtSmuYfj14AajaQZDO9UW+3pynaWgMh6qYnhIkkqVusNtV6xwNbzCg1Gh4OhU3ypKd2w9lQdA3DbB6ARNaF2wGkg3WuymOjm2x1UlwoTCCLLnYtsR/3nkvObHD9dYgPzb8GkrEJnO0iB9ycTUfazXKzeVBIorFs8XDRHsHY1LqkJVbjOgVsnKDe1IriILHeLTCXGibfq1Oy1F5fmGOF0oHWbaCilRMDMaAkuAxr23yjfohklKHpqdzoBfgeVfS7fkio0qFnNQIgi+ejuXL1OwwEh52b4feL9d4IHIHgPtzy8Gh74ucmF7Dbcm8b/YGx9ObPDyxxI8OvspH8hf5wem3eas2yT8Vj/O7i0/w7N48X60fp+AEyfSCEyMnN2j08JgSPj+QeYOfe/n76Xgq181h2n6wTzQ8heXeLe3uyCJFJ85xfZ3Tv3QeT5PwRfi5z/1o4L+VG/zJfZ+h/LCJmQgeeXIXlLaPZPvBvrfrI7g+khV0511FQHCDgze21mXyH1v81aeeCvbnuPzhrYf41NLDXGqOIgk+Q6EaM8kiKbVLUu1SsSJcrQYP5r1ujKOpLU5l1rlZyPPKzgFutfrp05uMKGXWrCxH9A0KTpxVO8tfLd7FU1M3qdphklKHq0YQLmp4Oht2Zl9NmJMbPfKZx/HYBndFlhhTi8TlLjHJIC21GFdLGJ5Cww3EBwtmnpob5roV/N5ikhG8yMpdml6Iz5QeoOhG+Ej2Ih+M3uZgfJfXG9PMRQOQSb9c50YzCPa1XI0+OfD1XusOc0jf4nBog4YXCgAfos3J0AoKHv1yjUG5SdMNfpbDok3H03ijfoCoZHKyb4OfnX2Jj05c4Z7cKiPxKueKI+RDTa5UBjE9mazSZCxc4c3GFI4vkVC7DOh1LE/m4s4QU/FSb6/s4PkCJTvGuF6iT2kQlUy6rkLZjLDbDpoL/XqTxd0cUc1iLFllVt/hocQdJlIVrhUHKLfDXDKH+bPCwxyNblK3QxSdGGm5zZHYJo+lbrHdSvB84wh171v36X7bB6leP3eQBx5axfMFdltBYrVmTPB5+xQDsQZxxSAkWWiazcBkg6l4CW3O4c3tcQDKZoRcpknpZhZ1zKBSjyDVZbyQx1Ckxlp4EKUuQS2CLIDUFXDDPkcz26y3U1hzXcQdDU+BUKqLIrmYGozN7LJ2u5920iN2W2FjOcdflZL88T2foe1p9EmtIHySbHOlM8r15gDfN3eec/UxGpaGk3HQEgZ2SObg8B47jThdU8GZdnG7MtudBO2oxrhegoSNIICmOCx3cxxObPN8eZ5KO4wqu+iZLsloh3y4xXI9i9VReeHNY0S2RKScjz9gBOOfdpiQbBMTu/zk+Ct8avkRBqN1No0UT2ZvMK3t8uXaCf52+SSTqQq3mnnCksU/rBynvppEH2oh4hMWLRxf4kajP8Aj+hKK4JKS24Ez1JdpWjobVgZRDW40kV6w5t1e54nwGm+1ptjqJjkY36XrqhwI73G9NcT9ySVud/pp9Lpze2YsCHBoLaKS2UPHBXvcNT/H3y+c4MmJW4z2QlsAC90+opLJ9dYA+VSdpNRBEjzwYc3K8nAk0EG+ayf5H7uPE5Js1lpp7s2sEFEszn/5MNJdVTTZpWspPDZ6h2cXDvHO7ggXUkGo6ZC2w3fPXeS5zTmkukxkukb3RhK/LnNjcwBR9AjLFr84uETNC3G3vo3pw3lziITc4dFEgbIbJS4ZZOQWf714FwBr1RQL0TxXSoNMhQMAxDPlo/wfw0+TUjq8UJ8PfK2+RE5ukJLb+33dcq+H+MuXv5N0tMN3j1xgLrqDIrisOimudUcCs5Nco+NpDKuVwOOatlAEl8JYjIORbVaNLKutNH/QeoyWrRJVLDJ6m1PJNd6buY4u2tTcMLe6g9xq5tlopPjExNsc0raoePp+sAhPYLMbIP8KdpySHeX9icv0yU2WrD500ea4vsZ5Y5zvSF3g6z87Q/pvVLJXbP5w5yN830+/wMfiF/mP9/wjv3X+4/iigNLxcTSB4r0QWxHRyx6SHex2Idj3djMSggcRK/h7z7/T5PO/9STP/bNNvv/AueD7AdizE/SpDRJyl1utfs6ujBOOmHS7Kqrq9ExYHQ6FtljrS3N3aoWVbo6KFeal5iFiksFVY4Q9O8Fndu4hE+ngeBKS6HHVGCEpdfZfKrbtVACacEJUnCiTaoGKG+Uftk5wd26VYTXQ0aXlQC5ScSPYnoyHwL2RBdqeRkZuERZM2r5KzQ2z0s1iehI1K0xGa7Nq5TilBze3DyQu84XKGQ6HNrnWHea1xgwxJYBsxGWjl2lokZDaXO6OMa3togsW73QnGVHKXDVGyMlNLnbGeCB6B0Vw6HgaEcFiVtum5AS7/IzS3lc9zoZ36VObnGWciGxyOL2D6cncbA/QdRVCko3pylTNMGHZxnAU4mGDrquQVxt4CFStEGUzwuHENnmlQcvVmI9uk0/VaXsacbHLhp1mJBfIOL6n/xwXO2MMq1UyWhs9E/x3/9P1p/jAxHVycoMHUwusmxnySiAJ8TSR6USRN0sTzCrf+v312/7QPTC/yV43xk4pgddQ8EcFzuTX2e3GWCjnyEQ63Lb6ONW/yWioQkoOxh+FdJQ+vcVSI0u5FkUZbTOeqbB4dgzJAcEVSSpd3LiL15XwFQ8UH0dzOTq2xVPJK/zqxkf51N1/zb/685/AyLvEwwZ762lIuGxcGiRSFPBkCeOuFlR0vJLGby5/kJ8e+yYFN0rBifF08Tj3pZZ5InOTjqeS1Vo8NHaHT7YeQ1dthtJ1bl0bITTYwmxpHJzYZrWcxvFFbnQGqVhhZkb22G7ECas2s+Hd/UpNWLOwHJmwbjIWr3JhY5iRbA1pr9ch8uDXP/x5DE/hfGucVlxlPrrDM/VjlMwoD/YvIQp+MCqtTRPLGDy/Moeu2ly5No4fdljNpLn8od9g7E//C74v8JevPMgH771AwYjScVS2zBR9aoOWq5NX6qSlFpLgE+6z+LOF+/g3B5/H9QUiosWV7gijapm6G+aN6iR9eou7kivERIO3GlOU7BgPJm6jCi47coKrnRGySoupcImWq7HRTZFWO0QkE1Hwe4GqLt1yiOVclg8lLwYPJanF+fY48+EtZkK71Nzwfs1JwuNkaJWaG+7VMYZQBJez6+NIkke3FMY+INE0NfADwtm9g6u8vHqA7W4CRXWQBJ+zzUkMV+bVzjQdL/h6SybIkhusCGIOyWiXVlvH8UX+89b7GAtXuKpVGVSqDMnVHse3wQvVea6Iw3i+yPdOXmDNCMhIUdlEllwG1SrT6i57VpympzCj7/CZyn3EFYMTiWCcnpOD6ojhK+iiheGpPDa2EEgNXJ3T4ZWeaSXgDe9Yyd4ur0hMNPhi9TT3xRb4zPZ9/NLU85xrT7BjJPix4dd4pzXBCxuBZ/m9+Rv7PuSOpxETu9wTLfNU4gpFJ86n1h/hZnyAl5ansZsaguYS62vxocwlRLz9Q14Sgl+/C5SQ8OmTG7zWmuXXjnyFf/v+72H2D03yZ02+YDzBsx8/xK9MPMPRj19j4fcPgQeuBr/94b9my07xuxeeIPVNHb3qBbtdEWTTx1UCL6+nS2BCqORS+rsR/ufBYf7gQ3/O09UTDGtVFjp9rDQy2J7Ixw+fo+VqnImu0PY0qk4k8DmbxzFtmbBssdeJE1MNbrfyDIVqnCuP4vdk9Yf0LWpuhKarExFNdp1EcGtTi0HlTm6xZyfJKzW8nvmpYyvM6LsYvsJGN4UseiSkLlmliSo7+1ahqhMhLnZpo/XCai7HY+v7+YW6pfNybYYb6iA/lX2VXSfB0WiAuh1QahwNrQcKx+ph5iK7+6anshel5ESZ1AT2nARvVib5oYE3GVHLKLgMqxVeqM9zMhqYsWpeCEnweDJ2lVU7t28oulob5MTwGqancHdqlS0zyYurswwkGzyUW+RwKAgHvjuJmonscrY6wYnsFhUrzOX6ENOxIndKfTiOSLEb4VR2A6fHYHd9gXrvtv1Xi3dhdFU+fugca2aWNwsT/Mz4GmfiQWXvdHiZv9PuJqs0qbkRSnaMWA8+E2RLIvxw32v8k3KSdvNbl9h/2x+6a+UUTiEBYvAKW15O8Vw1gij5fGD2GmcLY7QNlevlfq7TTzbcJixbQdTfFyi0ooTDJkOJOne288E83gfRZZ/lK3cEBFfCHjGhriCLQXn9388/wzVjBCvlQcKmUAh2JpMHdgPP5JencHWfu0bXeWNvjtOnFih2o7zTmkQUfG438ux1ouxEEth+GkVwuVAa4bo8QCLSZTxRoV9vsN2foLsVRevvsFlP0K2EuF4eRj3osNeJcV/fCnVT52BqjxudQXaNOGUjguuJxHWD5Y0cby+nkQyBI9M3WO4LXLhLtwaZU3e4ag7zeOIGn1x5nIoZ4bHsbTw/8MpWzDCvXThIYrjOyfg6PzDzDn91+y4eP32Na5V+CqVglKOlDKzNCJIlcLueZzpe5Fo3StmOMK4HRJ49O8GYWuJKJ+hW3z+0wud27uK+9DKz+g7zoU3ONqeQRY8zyTWycpOKG6HuhjkQLvBmZXL/YTeg1nmueIiD8V1EwadPbVCzw+TVBg1H36cLfXXzHh45dovpcHBj3O7VjsKSxYqZY0YPdqGGp5CU2twwhhhRykREm4avMaRU+eWLH8X3BLpNnVPzy1x5dRo35CPFfZxSiJvJfmbyRVZqaSTJw/FELpRG6As30QWbudAOl7RhTj95ieevzSNZAp7sUa+FkVWXXx16hlUnw5fLx1nrpLm+188vHPo619qDLBk5zu2OkAp3kUSP+egW98cX+JPVh2jZGrtbKf5WO8OR5DYPxW9z3RpEwuOHBt/gK+VjJKQuu04yOLgED8n3yIhtGricjq1QcwN/sYuwX8l6NwG+bmb44zsPcCBdQhR8iqE4k9ESri9yMLTN68VJFqN5anaYj05coWqH2TKTPBwPpgS7ToK5nr/6cneMsGjykYHL/O3GKf7TyS/R7qkfi06cQblKx9P262RNL0RYMLFEiZzU7KETG8Qkg00rw8/c8xJfePlJwgWbcNHF+PQAvzjyE/yzH3qWRe8Qou0jmQKWLxETu/z5fX/OK0fn+PTLD9N3VkAyfSTTR224CJ5PfVxHbXuEtw1EWyZ5S+DXLv4oYz95h/nIFq++ephf//DnkfB6akWF650hHondpO6G+KXJ54iLBg1P563WATxfRBFdQpJNWLKYSRR4KHGHIbnKup0mI7dQBKcHwWjScvV9KEtS7FATI3Q8jTvGAPdGAtvUVG/dMd2/ux9WClLRaUQ81N406Xx7nOfX50iEDAxH5vvGztOnNpkMFTE9havNIfq1wFz1VmuKI+FN/rJ4P1PhIutWhgmtyJHoFnt2PCB49fIYAK4v8szOYU6mNwgLJjUvzM3uEK+VphDxeTh+CxsJFRdFcLhkjHG9PcQ9yRVud/LMxAs0PZ0RtcyrjRk2O0kAfnD4LfbsBM/X5oNdtRNlvZXiTHyFG3v99I8tcCBS5Fp9kKcXjyCKHn2JFsPRGs8tHUSWXZKRLnPJAj+Ye4Mv1U7y2MgCr+9Mogguf7d8EoARJZh2PRy9iYvIe1LXKbtRFrp5xvVSUDE1+7jVzvNAcpFtOxUEQ71v/Uz6tt/pnhzaQt1REGsKUldEcAS8toK4HOJsYYyfnniZoVQd1xNI6V3WKimu7Qywup7j0soIzbaO5wvc2c7jOQKH71vETgRf4ZIVQYraCB54MkH80RPoOIG2LCl1gr1hysE3JNQ1DcEReKr/eiAGGPHI3LUXEItkn6oZ5qfHvsk7pTEuVEa4fGuUvWKCihUhJXeo2WEahkZItqk0whyM7rJrxPm+mfNoFYn7R1cwuirjEwXErkRUMdm90UfFiiAKPjm1iYTHgUiRiGzx0ZHLHElt88jBOxw9vsLs3atoosMjB+8gCR4/+8hzXDJGeb48zz+Vj/OhoSv89PBLHNK3qFgRKlaYt16eR2qL1OthPn3nXv7ixt04K1GWmxnO5NbRQjZjf/lbSJKHl7RxEi5tW+Wu2BJT8RKOJ/Fa7QBiD3APEJVMXAQmQkVqRqD32rZTfKFwGmAf8xg8mFxEweNX5p9hrxPlla0pMlKLpqvzWPY2mugQFi2qdgRR8ALNGiKeL5CQuixv5KhbOsd6QYh3wey2J2H7EneMAe4YAzS9EDU3wpha4p1u8FIUF0zKThR7O4Km2yCAKAQhnNxsCVfzEWyB0ViVW9t5DEvB94MdczrU4dLyKB1P40+X7qfy3CB73TjHpjaYOd0LZfgCQ9kaZS/MiFzhvemrGK7Csf5tnivPE5VMmrbOsfwWw9EaMcXk2b15hpQqPz3xMo9nbyHVZBa2+rjZ6Od8e5xvVA8yqRYoOnFOxtf3D4nbxsC+brDtq0iCx5y6w4hSoeHoRAQrkAJ4Gl/bOMh6N80ru1McSAedXV0KVhePJW7yN7t3s20near/BrYvMREuEZUM7ost0q/ViYhBCnZcLe2TpwDG1cDU9D0jF/aJSUkx2GUvWP0B0AYPw1e4bQwE/66nUHRjuAhs2BkmtQI7VoK01ObUz17EjkoIro/a8pAM+OMvvRdHF3p1IYFtO8Wek+BcZ5LDoU0+9b6/4J6fP0djXELuuEgdB18Q8CUwEiKeKhHZc5A7oDVc1v54hnONcXr2w31bkS4EgP13vcnXuiO83JpjVK7yePw63507x3dn3+H++AJ9SoNPZN9kRClTdqOMKhWWzTyGpwTwEDw00eaQvkXH07CRiItdklKHqh2m5kb47YN/H4yLvWB3n+vBHDbsNGHRIil1uGkMBtMJvUR/rMlD+UX6o0FntuMGoba8EnDqPV9k1w2TkLu4iKSVIMR5tT7Iipnj6e2jvFmY4Mvl41zojPN2ewrTU/hG4xD5cJNjkXV2nQRnm1OB4MTU+NjguX014ZaTYtXOUXfCPJK4yaRW4NHELTTRYdHI80cbD3OhMoIuOXz/zDlerBziWGiduh3iansY25c4nt5EFyxGUjVCksV6N8V4tMx7Jm5xz9AaD+UXGQ+X8X1wHIm9coLjsQ1qXpiwaJFVWgzEGlyqD3Okb4dstI3hK3xp7wQuIrfMwf20+CPxm2SkFkmpw4X6CCUjGtQMq/MogovaUxl+K59v+0PX84NkotJ4t8cKgiliJz0m4hVsX2btnWFO9m3RdRSO9O8QC5uMDJcZzNdIxTuEVBu/oCEWVW7u9SO3RDwJhvQa0nIIJ+z3ZPQ+ogO6ZPNM4Qi/dOW7eaU8jRRy0PZkRBu0gsTlxgiD8QZ+yGUmWWS9kWJgqsjJ9AbfrB9ktxZj5cIwiPDBQ1eZiexxOrLM0egm3zd5gfnEDpGQxdd3Z6mZITaNFOakwTcuHsKp6BSbUeSWgOXJ+BmLzXaSYi3Q6NXsMKudDDUzxDu1Ma7XBjgU3aZihHkse5thtcqF3WGSWkBtea48z2SkxHx0hw0jzXO1I7zZPsB0pMBEuMzPfOhrSF0B3xWwTBl3J4zgwsr1QZ5dPMgPzLyDHrUwOiqy5gawD73LZ7fv5nqlH9OTmYvs8Tdb9/DlnSMUneBmbPsSni/yk+Ov8Nz6HIrgcE9yhdnwLk0vxPXOELt2ghGlQlIKDCvfO3qej0+eo+HpxCSDihP5v8jpm7ZOQu6SkjuM6+XgJjy+w0OZhQD550ZYMvPcNgbQRIeE1A2k177Im7UprnRG9hOjNU/H8GV+8+UPI7cE2k0dUXNJKAZyW6BYiQXYQQEU0cXuKvTFW7SqYdKRDjmtxVPz1/n7zZMYb2ZpTbrE1S4/M/QNPjF4FkH0iSY7PNS3yILZj9JDO1quhOHKDIbqrHXSrLbSjIaqKKKL4cpUusGesOJE6XgqUyc2ice7/MroVzkeWSevNfjtraf4na+/n9cqB6i4QdWh7obwfIFpbY+rxgjPN45QcIMMRFw2eKM9TcmJ8kcLDzKWqPLy0jTlWpS52B4f6bvIh7MXWWj1sWDmmYvt0XE1joXWScltHoreIic3CYvmPi5v1c4xqZT2lWljPc3auwD5nBiwiD1Ehv4/0usbdiYwvPQIZXPaDl+pHsfwJW4bA5xrT6CJDhU3wvHoOvUfaOKEAstQeM8jsQii7dPJiQgu/MFX3xf0yCUj2Cki8P7EZf7dj3+OlR/28TQJBPZ3vfVJjW5WxtXAVUW0psvCbx8isin0zDoddt0EI0pgyslJDepuODA0CR5XzCGaXohdO8EXS6d5pzVBx1NRcffZvl+tH+v9nUR6Ttcgtb/aC1zFRIOiEygjH4zfoe2pNL3AL71g5gOikxMlI7XouBr9cg2AUTXoRI8oZe7LLqMILg9mFuh4KkNaNUhKexpRySQhdbhkjOH6IqrgsNYJvN0ZrcMXl4+xXYlT7YSCPalSZ1Qtc6E5iiY63JVYpemFGFUqPBi/Q0zq8tGRy/tYUs8Per1tT+NQaIu4aHCxM4blS7RdjRuNfm4vDPJQ3yLH4psUrBgDep0X6vOI+MRlg1vtfjY6KfrlOgeTu9TsMDudBCUzyqXyMDvdONfqg7Rcjcm+MoPpOsO5Ku80xvjbwl2sdjJU7TCzsT2moiXyWoOPDFzmk5vvYa0WVKySUpuhHtxly04jCh5rVpaYYvJk3w0MT2E+us2ikedya/RbPpO+7Q/dS9uDeKqPmXMIT9XJTFXwtSAY8dZi4AQdO7PJe1LX+L2Zv0MWPMrlKBvrWY5mtmm0dYo7CURbwNN9HFvCTrs4SZe1Thp7xOSHHnsFV/ehqeCLYHkyXUfBtiUSqkE60UbwBFzdx457nN8a4WhqCzlqs9OJE9OCsADAucIIIc0mO19kcKTMV24cQRQ8Fsx+PrNyN395824SUpcfPvAWvzT5HDPxAj/R901+/77PcvfRRYYPFDgzuI5+OOioUVcwXZnvnr3EUivLq6uTvHFuls0r/VxYGmP58hBf2jzG8cxmT81V5MnRW1iuhO0FYYV/WjmCJtrEZSMIFzUGuNoYZKWToeNqCD5IJRV/LbzPtxU8cG2JV0oHiIZMKGqM58t812NvBX1hS+MTY++giC7P7hxiYauPHx99DU20e2qwoNIF8NGJK6yYOVwEqk6wWzkVWcVF5OXG7H4iEmCtm+Wd1iS2L6GLNlN6gZarE5VMnsxcp+Op+3WVG2sDZPXAFFJxo/u71ZarcTC0RadHRjoWXmc0VOFgaJsptcCcts2uk2DLSXFgegdPBt8REXZ0blTzuCE/yA+IgNx7WrsCq2s5Zsd3WF3uo2hGyasNhqM1IvcXOXl0iTgiytsAAQAASURBVLTa4TOF+7nQGmM0X2EuW6BoxXijPsXL7Vn+sXKakUiN4XCNXSOO4Sosr/dxIhz0EGfiBRK6QdGK8tW9w/z5zXv48MBlTuY3+f2dJ7jUHmVcL/Fw+g6HjqxzJL6N6SmsGlkSUpdnNw6SkxqcCS0zo++yYWfYsNPcH1vgT88+xF9dvpvaRpKL1ydw6wp2XeNzF+7iU8uPcL07zHC4xqBS467oMrpo94QiIh1PIyl1qLlhElKXG8Zwb7Q43JsghNl1kvsg+UUjT9ELY/syS1YfBTdGvxxQhQxfYcXs41p3mDUrUMI9mbzKqp1lQK0xoRVpODqH9C2utYf4D/NfoT0g4egirioQLjqESg6hkke44JG6AVtmCtuXONeeBAI4hSh4/O69n8f75RLFY/o+RtKTA2yq1vCRegEryfRJrNr8u7c/ss+RjogmJxLBbe98fRTDVxhWK1zvDvNm6wDvNCZ4dWWK67UBFjtBF/rz5bswfIVGr3mwZOTIyQ3ankZObpKUOrzTnaDmhlkyctzsDlJzw3i96l2/XCMsWvRJLUpOoKWMSQb9ch1VcOl4GutmZj/Jnpbb5OU6Kbkd8I7fJboJbqCy7Gn2DE9hMFQnKptEZDOA/YQsjK7KmFpCERxeq09zuTCI4wV1sFP6KmHRZFop0i/XeSBym7BosuWksHwJRXAYVwJPdcGJUbRinGtNEJMNRMFnbKJISm5zqx3smheafTScEI+kb3N3ZIm5yC5ZrbV/a02rbSZjJSpmmL5wkwOxIvlQg5BkMxat8J78LWaTe1iezIOpBYpGEODaMRJM6QXuji2RkNoMhOo8PLzImpVj205xwxgmI7co2TGabqD/nIvskpZanA4vM6yW8RBoO+q3fCZ92x+6Yd3ep/20VxKUV1LMz20QGmzhmxK/+fKHKbfDfKUccGaX6hkkxSOU6vL15RneO3WTdL6BN2jgyz5uUQfFQwg7nL82yXcducjnbp8K3oY9EE2BW9t5FjaCzq/tScykipgpD2+yizjUZb5/h7nQDm5FY62cRhY8DoQLVKwID/Yv0RdtEdNMJuIVnjp4gy0zxf+8cx+Ntk4i2qVgB2ncuGjwweQl7hlbpe1pLFSyhBWLY7ENOreT7LbjSFmTteU+/v7myQDQsBVGbotMnNjiu45ewIu6NA2Ncb3MX+/cw+eLd3G2OM6VzSF00WZxYYBstE3ViXBvNHgr3mol6NNb5LUmV5pDJO/eY+LkJn3H92DA4Mg9i2RmyoSjJi1Lo1KN4Ms+dUPnUmWYA7Eicc3gTxfuY7udYKuY5NDoDhIeQ0qFtqeRlRuU7IBVe1Df5vW9SQpWnLBocTi0yZqVZctMoYnB7eTnL34vO1aSEb1Cn9ogr/TQb1aSTs+osmmlezcal5Id5ej4FhPhcuDRtAIlme1JdF2VphsiIXUZVKrExC59ajDuLLtRik4cXbA53x7nn4+8zEOPXOXu2WUkEzKhDq7uo6QNfMWHqE1C6SJoAfGr2I4wO71NzQhxs9WPJjk8OrjAfallHozd4cfzr3BfbJF/P/kVfmrgm/xI9lVOxtepOBFqdoikEtzSY7LJaKSKIAWA/PnQJtvdBLuNAKqf1jooisufLdzPmfgK39f3Nqciq5ieQsvVGQrXqDrhIDkuulSdML916Iu4iIEBqCceB9iyU5w5uIzvCviyBwLouS6IPiPDZSr1COvdNG9uj6MIDpYvcVDfQhFcDmi7+xjAL+6d4mRoBU20GZKrzKgBEaxfqfFgaJFj2hYnQ6u8Xpyk4kZZtbOMq4HgounprFo5JDxScpuE1GVAqVJ2I0REkzl1j1P6Kn+9eTeHI1tI+IzoFZ6tHuF7fvLrAfSi4mBFJTxVRKu7RHZN0lcbfPUvHiAnN0jL7X2p+buj9J8b/zrf/2Mv0BoR8HvtPwB8H18UEDwCmpUoMPK3Mr+98RRrVqAJnFSLGL7KmeQqF1pjXG0PY3oyd0WWaToagujzz0deJqO0uWSMciBcoOxEaTsaNzsDjGoBbL/mRti0AkGE7cksW30MqHXujQZp5OfL85zvBBeImNhl1w30lRmpRU5uUHRjiHg0e7CVem+6MaYWeTC0yld3j1B3QySkNhC4pzfswBJVd4OUdNdVadg6jieRinbQFAdFdXi2eoSKG0UVHVQ5WA9pvVl7RHAwfIlwr0q3bPXxtfIRvlQ9xUu1g7zdmeKZ2lGeLh6n5ag8kbhOVmkyHK7xO9Of54i+wZHoFv1qg+FwjfsTC7RcnV0nwYBS5b3Jq0j4PLc5R8GMcSq2xkCoQUIx2O4mAgpfo5+NduDfvV4ZwHIlhpQqHxm4xH2xRQb0OqNKmVfqc2TkFnHZ4J7oEoNKdf/7/5/KJwJcquAxolcYVit8pXSMohun6YYYUGqMhKrf8pn0bX/oCoKPaAnoBRnRFvA1j5ze4ifmXufBI7fRM13qSylef/MQv3v2PeiygyB6mF0Fq6NwoTRCNtxhpK+KoLuEhpukck0Oj22jVCWuVIcwKyF8Mfj/8RUfUfSgJXNkcJu9bozXr02jD7WYHdzj/ollVDFQqj18+gai6DEVDzisdVtH7v3vlNZBEV3mI1vcqueZzRaYyJUpbqT4p7dPcr01yC1zgFU7B8D17jDvHb7Fk303ebs2wdSZdepdnfdO3+TeIws8MrXAbjtOaLJB4kiZM+k17o8t8JsPf5GHhpZ5bu8Q45EKWa1FtRPC9wS+WZ4hNVhno5Dm5b1pFFw8X0ASfPJqg1EtCHL5vsDKhWEKlTgH+otEFZO59B7t9ThNQ4OShtwRaZzPUjd1jkU2uLk6QKse4nBymzMTa0xGS1zrDrNrB6nYFTMw7ezZSVxEfnz8Na5Uh1AEhw07zbqZpuOpJOQuN9sDpJQOA2qNRE8TdqUzwkxPbh+VDEpOPEDeuQHp5h+unWA2vsfV+iB3Ov00nBB7ToKWqxGRTd5qTGH4Mn1SkFwcVKpBQMZTiEldMlKLAbVO09O5Wh7gnZUxnLDPZj2B0hQQliIodRGxqFK3Q/z0yZcRRB9Vdnkou4jhyJxbG+XS3hAfSFzi4cgtzujbjMkNcnIDRXBJit2e39Sm46mIgkfD0fd/HZFMvu/ouWD311PuiYLP87sH2evGEASf2m6MkhPjzdYBrnWHcRE4Xx9lNryHJjr7e3RNdPbZx+/2pvvlGjHRoOXq/ED+Tf756Vf4iXtfQUt3+cTsOwCMx8sc6C8Skmw+MHZ9n4U9Klc5pAU7yLBo0i81+P6BtwDoeCoLVj9bToq2p9H2NDq+TMXTWbWz5EItxuUygz0YRiBDUKn0/h4kvKCaItr7piLDlzB8ma6t8GZ9ioITw/ZkcmqTrNKkcBrsiET5qEAnK+HqAnZYxlNlBl6p80p9jmltd//wSvdcug1XJys3+eGPvUBzjCBE6QBCD3ijCnhqsPP1RYHa747ypa1jvNk+QEQ0GVIqHNPXyShtup5KVDLZtlOs1tMc7N9jzcrywtYc/7R9jC9tHuOUvsE7G6Oc3R3lQmOUTSvNQjfP5cYwW3Y6+FlvDbFmBFSvd0e2ZSvKl2snAFiy+oiJXf6xcpLz7XGKThy1hz6t2hFud/pJyW0kwWPbDWqAwD6QZlwNgo39Sp26E2ZQrTKo1zgY3yUudzmR2eKe/CpPjN8mIgeWoDG9wr+a+jqiEHhuX27PYfT2oec6k9TcMF/aOo7lSQxrVabDBQpWjGORDWaiBY7EtoiIJl/cOM654ijnjXH+5+5DdLyAyzyo1YLwlJmm6Ybok4MQouErTKXKDPSUhnVb52JhiLBsUejGKLSjbNSCC0ihFmWpkuXF2nyw1kDgTHQZw1c4HNlEF2wejN3mK+VjlN0oi2aevFJju51gx0r2TFAOFSfKB7OX+WrpKIrg8EZ9ipzS+JbPpG/7Q7e6ncBNOniKjxvxmJnaIa0EncRfGniePz71V3hRF6HfAEvEcGQSUQPPlBCrCoPROvlwg7TeZnSwjCq7DMYbNEwdu8/G8iTEiI0v+wiugGALaJqDL/lstRIsbeYQQw7jmQpJtcsP5N6g5Wj8wfpjTIWLnBrcYEwv03T1fXBDTm1yMLaLKjqcrU8Qlq2AIbrdh9QWEcIOZ7fHaHo655tjfOS1n6FoxZjSCxzStxgK1fhA/hoAIckiIltUrRDDsRoT6QrvGbpFVDL5Rv0gn1p5mK6r8NGBi0yGipyJrvDxqfMcHN5ltxU8uAezNabiJZ6pH+NKZYjZZIExrcSmFdw03zd0g9TBMmfG1viRoTd4LHULx5PQBts01+N4IQ875WAO2ZSv5Pjvtx8lHDd4/6HrrLQzXHxpFghQjXt2gnP1cRqOTtGJMagEFJttKxVATtrDJKUOKbnDXGiHCS144L+LgnQR2TPjTGjFfaB/xw0e/IGEWiIsWgz2BZakhzILzIR3MT0Z01M4HV0JYPuOii44FNwYRSfGnp1k0czjIqLg7rOhx5US1XoESfKIL4uYtozUFZBbQZYAIbAD5eU6subwUP8Su1acXzjwIulEm6FEnS9WT/Nc8whvdEfwCIhVGbHLlpPE8FQWunlKZpSoHPwZrzUHaTsaNTvMK3sH2LFT3DQG+cmhl2mUImiSw+q1QQQgnm8xrFaY0IqsdjJ8aes4E5EyYdEkqzRJyYHNKSYZvNKaY9XKsWpn6Zdr7DrBC1BKDm5Aw2qFh6M3+ddHXmClk+XBI7eZCJcRBZ/74wtcqw/yv1/8EJ9cfIxbVv8+2jGoGkn7ooSk1OH1ekDy6ZdrfHbnHv6qch9/vPcIX68d4jtzF9hyE3iIxMTuvuLP80UMX+nVlLqMypXegRsoF8fkDr8z93lEfPacBLfaeeZC21xpjXD/vTewQwKeDKUzLnZYxAmLuGEZRHjxmVO9G1SNphdUpzxfJCl1yMgtPr96gvjxMmZKQK+5QWZSCm6+digIZjkhkU5Owv6LPG+UJtl1Eii4+33e49F1ToTXSEhtHuxf4kN9l3kgcpu782uEZJt6J8THL/0o//XkF/iD+c+RVts0XZ3r9QEeSt1h1cgiCV7geg7vcLk7Rk5uMBKucm98MYBC9KAZm1aGnW4iQK36Ir+19j5cBI5H1jhfGgZgUq7wmdL9qKLDtpHkntASLVdn3c4EnWgnzr3RBQ5pAYL08fgNskqLu2JL1O0QXVfF8mQ2jDS6aO+vcxTB5Xx9FNuXeLk9x18u3s2fb9zP4dQOKbXDoFplWC2TUdrEpC5Pxq9xd3iJy90xnhq8yU4xwR8tPMj5zRGars7ByA5lO8KWmSSrtHihdJB/KJ+m6YX4bwuP07I13qmMsWMGpDxB8LlZ7mdpN0exEqPT0ii1Ijw6uUBfrEVS6fA3W/fwRnOas80p3F69sumF6JOaPJq6xe1OP1/ZPBwwlmNl0nKbihMhJnVpuvo+ECUjt7g7sULL+//7dPc/0XyL2altwoerpEarrBQybHRTXGqPsu0keLM9HRCnCjpnDi+hiB6mIyFXgpl0RLZ49dY0FxfGWFvL4fkC5W6Y0ViFEzNrwa0106R/oow43iY+X6Y/3uRDZy7iuBKPzt7Bayss7mX5YOYyW3YKEZ/BSLBLOR4LggK6GHBA3x2n3mz2Iwk+c5E9Hs3cQZdsJDn4YUeAmWyBtW6W27U8VzeHeG1rghGlzJLVx4sbs4yoZR4dWWA+vIUmOjyQXuSpzDXuSq0SlUzeqAQJXNuVuFIaRBR8mq5OxYlSdcLc2c1R3EsgiT6S6FE2I3xjY5r1O3lkMSBFDatVLlRG+NztU5RXU6w3U7zTmgi4rO0E+UQTuSOC5CPYIpgiiPCh8WuocpA6vrQ8yvQDq0yGiqx1MxTsGE+kbzCiV8jJzX2rSsdTOR1f5fXtCdbMbG80KhMRTab0Itdbg4RFixeKh3rQB5kxtcSGkSYmGZScoGN3IrzG5xdP8PjAbeZCO0g9WEdabe+LDkxP5qnMVfbsOK/U54L0phwcXn1yg1pPdtAv1xAFj3994nmcQrBXHknVcML+/kpDHOwSkw3ikoGsBJOCuGzwQnWeH54I9tsVK2Aiv9Wa4sutw1w1B/jF5e/ms4V7KDoxjkXWicgmEclkUKv30ucmg3qN3XKC662BfU8xvsCdhUE83cOyZbqGwp6dwEVksZZFkVyu1we40RlE71VSbC+QRHTcIJCjCzZNL8RNY5A5bYdM79Zn+xK2L3PH6GcmssdyPcuUtsd4pMKIUub/PfZPPDF1h+JegrBo4vkili/R6XGpVYLDRxFcHkneou2puL7IWi3FD6aDl7XvSp9jRCnj9up4NS+87449HNqg07sZv9g8zLqTZtdJ7B/KEsFL11Q4qL4M6A0iosVYqERa7VC82yW6JiB1RDo5keJJETsm4WkyQ6+YrJg5jugbAHiIwZ+BYMz83uFb/NDEWYbet0arvxeuAjw5+IUZC8JakhV0fLdfHOHzO6dZtvqICBYJudNbnahk5BYZJbhprtpZcmqT7+q/wPcfOMdossbLjTl+beU7mA4ViEkGB2JFDF9hvZtmWK1wd2KZtNwKXL499njT1bk3urivDn27Os6DmQXKdlAtkkWPkh0jIpqEFZsRpcyflR/A8ST69SZbnQRPN05geArX2kPs2EmqTgTDU5HwGVYrxMQuUckgIlqMhir8SO5VDoZ36FcbgWnIiaKLNmU7Qkw2ebp+gnUzzbH8FjOJAqdjK3wi+yaDvdXChFYgKXbYdRJ8vnw3/+PrT3K+Nkoy2aa2kkJRXCQ8DE8hpXR4ozDB5xZOEZYtIrLJbWOAciXKk303WN7Jst5KcWF9hHozjCo7uJZEKGzt/13tdBOktA6L7WA6eLYwBkBSavMdqQs0XJ0tJ0VENGm5Gh8evspaN4Mk+Dy7e4izlXEsPyBjtT2NudAObU/rVbO+9fTyt31P17qaZHFHxVN8SNhIisftUh8bWpJnFg5ht1SGhiu0YypZrc1YuILnC6ykMxiuwrmdEcS6gi/7SGmTTkej1dQZidWIKiYnkxucqwZ/eYVSHMJQ6YSohCKc7Nvg+QtHQHOxqzq/evaj/Pypr3M4sU3XVVg3M1SsCGm1zZaZ5GBqj5ajcaUzErwRasHeLQj0eMz0F7leG+FjRy6QVZokpC4FM8rEZJmmrbHtpDhbn+CHD7wVhFbkLoNyldlwiL/dOMV9fSvcbPRzX3qZ48lNTE+mtJRGrUq8mDzI9b1+Tg1ukNea6LpNSLcpbicpCj5STebkPQt0kjUORnZ4pTlLVmmxVkhjGzKiJZAOdfjSzWO8d/YmPzL6Br9z8wnsnI22qQYmJEvgxHtv8tW1eeq1MG/J4/zWfV9Awg9Gxq0U92SDm2ZODupNu06CQblKLtpAwucj41d4rTTFk/mgjrJg5ilY8X260uPZW7gIpOUWt40BpkMFbF9iRt/B9mUWzTx98Rbzoc2g/6lUqblhuq5CRQh2XeN6wAPWRbtnTLLZtpOcCQXYxZobJiJY6IKDKPiMK0US4zW6AwrLe1lQQDAAASbzJQbUGlt2it84+jRvtaao2BF+Kv8SG3aGrqNgeTLXqmn6Iw1KZpRzjPNU/jq6YHOtPYwsusRlowfOD9ivq80MY3qFmcE9Ppi5TFw02LJTHJtZ53ahD9uSEQQfdyeCeDiokLTNABmazjVoWRqpfAfXj5OW2yg4jOgVGl5ov9/5UPQWti9x0xjkdDgAPSTFLgNqjTlth0Iuxsu1Od6fvhIc+MCPZF/lee0gP3/2e/nKA3/AlpNiSK7yRie42R7QdplSCrR9lVUrh+Er/NzsN3iueYTHojewkNh1kvTLNYpunF07QcmJcSK8uu9Wfr0+TdUKMaDWqDoRjoXW8XyRoidjeAoPRG9TcaNsWBlGlDI1N8wdp59ff+yL/N61j4Hwf5L3n1GSpWeZLnxtGzu8j4z0rrKyvK/qrmrfarXUankPMuhgBgFiGJiBAYbDOBg4DIgDDG5ACCeDPJJa7b2prqou7yu9j8zwPrb/fuyo0OicxVnS+b5f+vZauZbWylB0VOTe7/s+z3Pf9wV60sUMudSGZaS2gysL/PNf38e9/+YGHUfhZG0bj8QvUrRCxKQW+wIrrJgJ3tt/nv/jrgzK01pXne5ZjxBA3nCx/AACgU2X9a+NsfDj6wyrxa5i1xPb5MwYA2oZEYegqLPTv8aSkSIqt/jfBl4lb4XJqHXCUruH92s6PgZSXrs9LHtAiJzp+Zzr3bAQw5Wo2AE2zSghRefV4jbW6lEiAx0iSsfbEK0Q/YEaT1X2YroiouByvdpHpa0xo2YYDpQ5ElrgVqcfU5BYMlL81eo93JuaBbwNqu5omI7USy7TXRlFsHm9Nsn9Ma+Lpgg2i60km+0wa6Uo/2n/t0nLNS872g2QERoERYOI2OEb5cNcLA4wumuDe5IzXFSG2Qy0UUSb2WaaD2XOcLo5QakWxLFFNlthDFviyfmd+IM6ZSvIcKZMrhpGUS0mU0XaloLiNzFNj/imdxQMW6JPq+O4Apcr/TwwMss7YhfouApbllf4BEWdOSNDTGmzrscY9Re50cjSH6hRMfw8kd/NVDjPUivBzlCOI8F5ImKHC6S/7z3ph77SdXxul/4joqz6YNlPrRQkrrUJBXQSfTVc4GOTpxnVihSMECfCs9wRX+RAbJXReJn+HVtkJopYHRm77CMWa3IgskrD9FE2AxyJL3EwtsLEQIFqLUi1HiChNrEcib6REulMjcHxAvdtn+FUdRxJcGg7KnONFJudMFt6mKxao6gHaDsqKaXBsFamank2jrwRYkdog5Cic3DXAq9uTlC1Avzx9QdoWSoZX53dkQ2GlSJ+yaRha6waCTqOwvn2GDPtDBubMTb1MPelbrE/sMTnzt3BpfIgbzt+AWO8w5UnpzFnImwPbjHXSNFYjlDbCjE4XPSEZCmTt6UuMx3eJCE1vJD3btvs0T1XcCW4vpZl51CO9yXOEJNa3DM0TyDWRup0VZ9+T4Vy39Asd2+f5Z3Dl2k5Pr5d2s9Lxale9R8W210kmNcau71YXGyP4CCgWzKmI3eB4iKT2hYPxa4SFHU2zQhrupd/3ejOb/uUKppgogkmj2/s5lhqibrtp2oFWDE9nqjVbTsXTM8I3+qeYCXBs4Hs0taoOAE6joIq2CiCjdF9fEwkfn/Pl/njQ18kFOxgJiz0pPfd3JwbICE1aNgaT5T3cjQ0z4eTr3OmPcEOdZOfHnmJmqEhiQ6brTAlPUDLUljpeJ9rwp/3/IRqhZDUwXFFrtb7ubWYJSDp/Kuhl9it5shKNRb0NMfiixwcWOV9u85zaGAVJ+ZVPmeb4zwwPMO/u/NJqjWvBb3QSnpVvtxgQs13q0Wnh9V7qbGDk80pjgXmuNYZ5HrHy+u9HRU5phVZa0V7qL2IoKPi4LogSQ7PNHfyW9ffxrKVYI+20ovONJB6izTA1dYgpisRFXUigu51N+wIRStEWvbsXlfawyTlBhdrnh3E6gbf79TWONca8zpFnRE+vfwwv37rvXx6/s2crExwTR+kYIV5X/INXq1NUdlrEb0lYIwY+Ifq1I52vGpXFgiv2fzUKz/mAc7DC7xa305E6ngYQanFm4PXiIhtfueOr9EcEOgkRNSmg6/sEth0sFUvr1lueXNfR4Un/v4Ep5uTjKp5lowUGbmOIlhcbg5RtYM0u4Efw0qJxU6K56s7MV256zVu8FDsas9HDbBuxslZMZKSB01XBIthpeh9RtFLhwpLHRxXoGPLxPxtzpWGWaglWNc9hfiIv0TWV0URHBTRZjBY4WMTp1moJdAdmZjUIiq3EHFJyA2OJJbRXZmTtW2sGknyVpi3Ri+xYiaJSS1W23Gu1fu5UsryTHkXpishCi7n1oZYLcZQFLvnd9UEmxG5TMeVWTfj1ByNc/khhsMVtke3OF8doV+rElY6NAwfb8yN8suvfYBvz+/m8NAK/2rfy3x06BRxtY2qWIiiy6niGOvFKK7rlbRzhSRhpUMq2sB1IRVr4NNMthoeKWtveJX7RuaQRZvnGzv528272DDjZKQ6i0aKRjc+VhQc+pUKs5UUw4EydyQWCcgmc40UCdWzKXoH0RbT6vr3vSf9/8WmKzjeQ2AFXOywA7ZAVde4s3+J49kljqaXud7s5/GN3TwUv0bRDrFlhKlZfiodPxPRAscySzy0+zrhwRpH+lZY6iSIqh2eX5vii7OH2TQijIVKOAUfo5kSzyxOY7rf/XonogVEXCqGn89dOUbN1Dh7fZzVapSFWpKq7Wc8WMR0JOq2l5ikOzKDvgqWI3G2Osqe8DpJX4vNUoRrtSyC4KJJJtdrWb48c5Cvlo4y4Ksi4lIwQyw0kzy3NY3lSty9fRafaBMQDb5SOAqGyL74Go+9sZ+377qMeLDKxLFlPvPKvVx+bRuI0DdUZl9ynX3pDX70wGmW9BQnwrOMKCUm1S1utbKYHZmbtQw79i3zgZ3nGAmWudwZ5lp7kGvlLJ3lMBypYiUscGEiWGCHf4OOrbBlhDlZmyQsd3hT6gYJpcl8O83Z1jhGt8JKyzXWzTgRqUNcbjKolvmxkZN8fvYIKaVOSq537Q1eq/RGvY8p/yb1rk3IJ5os6Okeni5XCbMvsILpSpStABtGDICa6Xl7PRi8wKnqOD7RJKN4TNDb3se648dwJexuz8pxBbJSjaBg0HJ9lNeiKEUZJ2xjDejgwP9cvJeo1GKjHWFQLvNKY5o/uvggP3frR7jeGeBoYomOJRNWde8eckW+NbMHUXCYb6d5JreDtFzj1fI2Nowo55ZGECSvLX6lPcSMmSYgWhwMLJFS6mS0Orv9q+yPrKBoFltGhLV2jIIe8jKo43U26mFqhhc8UrEDzBvprl3Eq95tV+x5bB1E+pQqIalDzo6giSYdR+FMbZRPDr+Ig4iDSM310XFl3rvrAopqsWrESQRbLBkp7ztE8CodO0DOinJ/7AaqYHOpPMiR4DyS4JKzI17L2FG41cliuhJX6gN8bu4IOTPKVGiL+1K3WG9EeKq4m5wVY8K3Rc6MIuIQUTsMhKoczyzw+swEn77xJh5b38Mrje1M+Av8wr1PYfsEEq+qKC9Ecdse5L6rJyP5gq9rS0ozqW1RsQMku2QcgEB33PHQB07jSmBp3pzYkQUszbPL2ZoXManUXeSmy1e+eB+X2iOEpA4dV+F0fZKG7aNP8RB419qDvN7wDiCrrRiXGkO8vD7RVS4HvPkyAqtGkpst7zsp2iEvjrA7z55SN1kxk5iuRJ9SZTq0ScPwkauF2ahEGI+UEHHJylUmtS2G1BIxpcWd4dlel2hHfIu43OJKe5iyGSQqtzC6GLuMUmPCn+eN6iiPre/lj9ceYsOIcaU9xFwthSzaTEaLHI/OcU/4Jimlwc/veYFEpMl0yqPzNB0feTuI0cVHgiey+tjYKR5M3GBncIMzS6M8tbwDTfLuQ3nDh9uR0FSTY7EFNMFi1UjQ56uxO50jE24giw7hUJtDA6sIgheEcauQwbBkHpiYYSRS5t7hOd47dpFhzYOaDPgqROU2PsHinvgM23ybfKV0tAuc2eqOfYIs6GneMnidhyOXqVkahU6QhumjYam0HJXZjhfacjsp7fu5fqBN98///M/Zt28fkUiESCTC8ePHefzxx3u/73Q6/NzP/RzJZJJQKMT73vc+Njc3v+c9lpeXefTRRwkEAmQyGX75l38Zy/refvgLL7zAoUOH8Pl8bNu2jb/927/9QT7m91xOyMJI2AQPFiGlo6Zb4MDm5T6emZ1muRUnKrdZacb40eHT3cU4SMUMMOCrcDyzwIi/TK4TQRQc3jt+EUlweXZ2mpdf3kN1Pk5rI8QbW8MAjO9eZ3dsA3PW40dui3kReX2+Oi/Ob2PhyXGcssrrC+OEbyhkQg0KjSBffulOXt2coG75WG4n2DCiOK7I9WY/PsliOrTJ8eAMjiuwd2iND/a9wf6+dfZG1tkXXeOhsZvsDGww6iuwrsc4tTXKgcgqb+m7RsNSObcxzGYnzGInxZn1EQbGCtwTvolSlbhcHqCZD+C6AmpJQtlWBwHCPp3lZpympdKwfYz6CiwZKc60x3mlOU1Y7tDXVyWqtrlxaYR/unqY5Wac05Vx/vrl+1nOJRBsGE+WeMehC9z3pktsdKIelL0W51JpkOOROe4IzxMUdSpmgGGtxHonhirY7PMv4yB6YpwubHvLjLBsJHl0/Cq6o/Si73JdodNDyetsGDFeKE9TNL1KeNzn+QH/fulOtvflud4eYNOMMugrExANbrb6OB6bY8OIMunb5FBoiV2hDY9S5ArMGRmSUqOnFK07/l54x7IVp9IV3oTFNnSZrFqsgyC6BNMtfLJFQNS5ud7HT537OE9s7OKByVvEfG0G1TI+weLuvnliaouw3GEoUOGBiRluNbMUjCCP9F/lanuI4UDZE7KMLXJi+xzgxe7ZrkjFUWk6KmUrSNX0c6M9wEonwU/seQ1RcPmVgSc4Hpunavu5q2+egUiNPn/N80zbGjca/SiCzaYVZabd51VMYpucFe3GY8a43uznierengVorRnz5mBmnGudQW7oAxSdIG+OXOGXdj3Lw5HL/MLoMwwonijr9nenCjYZqc5udZ20VGcqkmdGz7JuhbszSp2Oq2A5nkjqjaURFMnmTG2cnB5BwuWhgZt8MHOGEaVIWGpTtb2F76f7X+DHs6+w27/KjtENBiI1Ss0AX7pxkGg3REV5uIBac5HbLsk3ZIywQCfuVbuiDX/y9FvZ7V9FE00Cos4Nw6syDUQeK+/nyfxu3ha9yH0fOYMRvq1ixvvbd3/AE1mJFiRu2nzxcw8CcLoxwd2RWxwMeS3xeSPNlhnmjfwIN+t9iILDuL/AT297pcdojklNTFdi04zwSPwik+oWManJlfYw1zpDBEWDG0Y/BSvMqOpFFR4PzjAWKZGN1BEEl/2RVUTBISE1WDW8WMhNPcI3tg6yL7TK+eoId0TmGVJLXWSfd1hrOSrz7XQv1KRjy2SDNQKyZ917JHKRT4y8RkTW+ZHM65iuxHO1XYz7tnhz8Aai4HIoutLrNEm4tBwfRTvEhfqwl3zmW6dhawwoZQ6PLhPSdIKywdJqCjNjoiXblPIRdvnW2DCiTGsb7PCvY3Xb4zfWsnQMBUW0SYcbaD6Tu4bmuat/nsPhJQxbpmL4KZsBfKLJNt8mQ2qJlNwgITd69/OwVur6xLMEJINHkpdZbCXZruXIWTEicocjiWVapsqFzUH61QrbtByLRoqSHfq+96QfaKY7NDTE7/7u7zI1NYXruvzd3/0d73rXuzh//jy7d+/mF3/xF3nsscf48pe/TDQa5VOf+hTvfe97efXVV70b07Z59NFHyWazvPbaa2xsbPDxj38cRVH4b//tvwGwsLDAo48+yic/+Uk+97nP8eyzz/KTP/mT9Pf385a3vOUH+bgASH6LZLZCYT2KuiljaSANdHAsEUV2mC8mybe8dnPD1ljseHNWLxP1u4IjyxFZqccIZXRWWzF8lwPIbTBDAqIFlUSA3WNr3BmZw3QlvtVn8MpLe/jXj36Hm6UMN+t9+C4H0Pe2+NS+lxhSi/yq/T5uzgzgyylED5TYm9xAFBwMR8YnWry4ug1RdCjlomAKmMclnr+5nUBYp5jyWiXL7QT/ceAJvtXYybKe5JXNw+xJbLAnkSMgeZtERNZJBFvEVE+McNfQPC8sTPFYeT/vf8ur3BW+xaup7cSVJp/ZHsecD+NGLXySxe7oBkNqmbmOh7PrU6rc6niWg361wjuHLvN8fjtuyEJVLa6vZMmmqxC0SCXrVH1+5vIpNMlkNFAirrSo2xo3ihnyN1LExlvM6xm2+XIcjSyQVaostVOsGEkGlDIv1qZ5W+xSF8Kt0K9UemrYb23sY3xki0utEQKiQctWqQoB8kbY4/iqFc/yoJQ53xojV4yyb7s3T6+5GimlTt4I45e6SDtfkQ0zzvHgDPkubi4mtVg349zQvdZqUva8vABP1vcyrW0QFHVEwaHpaOCAlTCZShXJN0McSK+hiDbLRgonp0FRpHNCJ+ur8ezMDnZFNkgpDfb4V/h0/mFqhh9RcBgKVLBciaxWY8sI4xMtEl0VcatrxG85KneHbpKWml18WpVVI8mLt6aYGtwiqOhs6WGmQ5u83p7oBb2HZM8/DV4LftBXYbkZ5/fLb2ZHfIvjUe8evtgcIaPWEQWHU+VxWpbKZiNEZrSOg8C96VlKdogTgRnOtccIijphsYPpel7I2+rnHeoGHVfpEXOWzSRJqcGZ9jimI/NI/CInG1OsyXEkHETBISx2PAGZaPDpo18i2N2I/yl/jMc3d+O4ApPaFn+3fJx9iXUm/PmekHDTihIWO/T7a/RrVRK+Fgu1BOcbnhd2T2qDN0ZTqFUXreTgJEUsP6hNF1yB8JzI1fYQk75NJERWjQRpqYaJxKPxi7wsT9NxFfYHV3jmzdMEnghDNzzjdhnjCt6mKxkeuSiy6PAnf/Nu/vef+hwVO0hWqZIzox7isplgJFzGJ1nkOyHW9RiKaNEnV3staEWwCchGr7VfskKs6nG2+bd4rb6NiNzpPe/XOwPs8y9zb/wWZkziK84hUnIdn2jScn1eK745xqjfS81a7KRI+RpsmlEScpO8EWZ3aK3XZq1ZPhY7SSxXYlckx3Zto9d2N12ZvBUmKOs0HR8NW+NWLcM94VtUHJUTmQUOBRbRBBOjW6FLgsOV9hBhxeteFe0QUanFphnjlwee4Gr3WXslPMFkusDOSI643GLFTLLd/13E4IHIKq+VJpBkm/3ZdWxXYFukwIyb5nB4qRfNeCy+yJX6ANOBHBGxTdEOoTsKN1tZmrbKVMBjGe/3LzNnZEgp3tx3SU/xntQ5bAQuNEc5HFzkemeAXCmCrHi6h46jULDCbBrK970n/UCV7jve8Q7e9ra3MTU1xfbt2/nt3/5tQqEQr7/+OtVqlc985jN8+tOf5sEHH+Tw4cN89rOf5bXXXuP11z1/3lNPPcW1a9f4x3/8Rw4cOMAjjzzCf/2v/5U//dM/xTA8O8Rf/MVfMD4+zh/8wR+wc+dOPvWpT/H+97+fP/zDP/xBPmrvcrc0CpsREv1VUkc3sWMWrGtM7VjjEzteJxZoewN6V+BrqwdYb0fZbIcZ0speAIXSoW0pqKJNvhzmVH6MuUISW4P6lI1oQiftkE3UKFtBbnWynKpN8JGDp1Em6jy+tZvRaInZZyZoD9r87L6XeE/4Eod9a3z6+JeQajLCrjp7M+vULR8Dviq7Qus8sbST5tU4pfUooVQTqS16EYaJBoPRKqeq4+wNr5FQm3ylto+n87s4Vxpmf3Kdi4VBXl0Z588u3cdR/zxPz08zFinyYPwGPzb6OgO+KmZH5uXlSVqOysXWKNv9Oc5WR3FsEStp8pE7Xuf92bMsNJNsml40Y8v2UbJCXKx4loPrzX4U0eKTwy+yd9sqv7rvSf7NoecYDFVRAwYnsgu8fdsVEuEmDyWvE5J1qpaffYEVPjpxBkdz+C/XH2VA8cLs/3H5DopWiPV2hLqtUbRD7Aqsc641Rkxqsd+/TFhqs6Z7Ye4/O/ICn1m5B0WwmfBtoTsyZyqjDGsl6pbGfDtNVG7xWn0bL2xNsX1gk31Br7WsOzKXGkOUjAAZpc6G4Sl8C2aIP9t4kITUZED22L1HAvOEpTaDXdHVpulVf6O+AmnZE3hV7ABhsYMUNREUh81GCFmy8UuGB8y2/DgBh872Dopk4+suCCcL47xSmuQ/XnsnD2evU+oEyPrr+CUTVbSomn6m/Jtcq3nJRWt6DMsVGQpUWNPjaILJNb0fB4GOq9CnVHFtgUIrQEjRuZbvI2+EycoVLtUG6Vcq3Gz0cVffPM/c2sHLy5M8k99B21SoNAJstsM0ut/9lH/zu3CDWpydkRzDkSphqdN7vi7Xh8hZURJyg6bjY8VMcrkzTNEOMalssUPd4LnGLsQuZH3JSAFQsQPs15Z5W/gSWalGSqlT71Y7QVGn6ajM6X1IghfUb3f9vwfCq/z8yLOsFGJ8eeMwTUMh1wlzJDCPJli8Wpsip0ep2gHuiM6zL7DM/YmbfGriBV5fH+OLC4d54dxOBAtq46A0HdSGi2RAIythq+AvOnzxm/eyoGdYN+P0K2XeaHlpVTGpxf2R610Pbpn/tO9b1Me870KtuWhlF9HEY/Gano/XDApIhkvihsV//PxHqNp+bnb6WTUSvUPNwegyU4EtRoJlZmppAqJBUDRIyzW2zAgjaoHxrlp5QfcoYfdHr3O92c+mHuFMeRTdUag7Wq+Nvawn0R2FY6klLreGmG31Ma9nAMgoXuby/shKDwBStgIERJ1xfwGzO4N9oTDNSiNOqLuh540Qr9e3sWVFqDkay2aCAaUCwIKeoWr5GQuV+KvVe/hM/l4ALrZHuNAZIW9HaDoqYbHNkFriRHjG6yraQeY6GRTBIm+HGVMLRKQOD4zNUO742RtY4S3hy8x1MhiuTN6KcE0fRHdlDseXSUcbvClxnfFAkc1OmIFglZbjYQtnO32EpQ5ToS1OVSfIW5HeYSKmtFBFiyG1SExqcUPv7+YrNxEFl2sNL99bwuUbc/tYMROMqAU+sft1LNNLvItJLTJKrae2/36u/9czXdu2+eIXv0iz2eT48eOcPXsW0zR56KGHeq/ZsWMHIyMjnDx5EoCTJ0+yd+9e+vr6eq95y1veQq1W4+rVq73X/K/vcfs1t9/jX7p0XadWq33PD4Aru6CLlIthHu6/wTsOXuA9b3qdh/quY7oSfsVkqs/Lfa20/Jy7OMmB+CqPre5m04zQsHw80neVQjtI8FSAgVCV0UQZW3NxBRdXBHW0wdHUEg3Lqx4yvjr7Asu0CwGuzw/QsRXYX+PH732Rd4UvAdBxJRJSg4fvP890ZouSHqTcCXCz0UfD1mgsRpG311HKMq2Gj9ROz+O4L73Be/rPM1NJe5ukK/BKaZKRYInZxT4qhh/bETEWwmQTNb5QPM69Y3O8sTbCN7f2U7X9LLcTjPSXGEuWuFrp53MzR/jvf/9+ZkopPrjzHD919GXGfXkSUoPD0WXGfXlGfCWOBOaJSk3elLrBX167h6ev7+RsdZR1M87PDj7PgOzFSFZ1P++dusiuwDpHQwv87PiLDCjlHkzadgVSco17Dt6g3vCzYib4tVffx11985xtjHE8MQ/AhcaIR0UyvEi722lQYjcWaMVMMBIq06dUe6fXvZF1zteGicktRMGlZXtpW8VmgO2RLTZNr22fVJq0bW9WpogWpitxs5UlKrfJajWGlWI3bN77b0XEDoYrIeIQ7bJ1J9St77bNBIek2ObAyArhaJtqPUC97c2V35G5SMUMMDhWYKCvwkYuzoXaEJJsszjjcWR1U/YISaklSkaAEV+RkKQz5i9yrTVAQDZ49vW9vLw2ieWIyKLNiK/UIyPNmOkudSbLYH+ZwUiNQifE9mTes3XIVW4WMrxY2c56I8rF8iCOLtHOB3gofYPdiQ06NR/5Zqjnab7STVByXJGHB28wHcjxycEXSMs1qpafs5UR8nqIL+WPcbY5joTDrU4WCZdzDU/RHxBNb+ZqRdnjXyUqedaZbLdjAfD16uEuZrHDvJHBdkXeaIyzU1tnWPasKgAxscWRwDwZqU7Qb1BsBfnD3V/iUwPPAZC3wzwQvcHHEic56F8kKTV4trKLu/xzKILFu8cvoSkWcl2ieajN8fuuItgugu1VppLhWb0cSUBuCUiC4z0vRoo9/hVONqa41hnkpfoObFf0FK+Cyc+853H0pOC1k00XX91BabsoLRe17iB3XATHq3gzZy3+/LmH6FfK7PSvY7oSW60wLxenkASHcX+et2cve1YZVyEg6kz6Nkl2+bizepYjgXm2qzkiYod7ojfZH1nhkcwV4nKzl299vT3INm2TCd8WKaULOglsciIw0z1Edkh1BXSPxC/ztthFJrU8g0qZlFInLHbYqa2zP7ZK2t9gQ48yqhVpWj72BVfIyDVioudhBs8GttJJsDuwxlwthSi4LNaTzDVSBESjR2QzXbmbJW4TFHXqtsZ2NUdI0nmmuJMtK8yKmSQstrkrMsP7hi4wphZYsRLs8K8Tk5q8XPYoTZO+TUJSh4S/xeXWEKvtOIdjy7Qslcdye3liczd9So1XK5O8uDnFG7lhWo7KYifJy+VttG2F9yXeYNOKMtvpQ3cUtG6a1lOFXRQ6QZb0FE1HZSxZomX72LQ8Utx9E7OsG3EvjUuwSCqN/8f96X+9fuBN9/Lly4RCIXw+H5/85Cf5+te/zq5du8jlcqiqSiwW+57X9/X1kct5LYFcLvc9G+7t39/+3f/Ta2q1Gu12+1/8XL/zO79DNBrt/QwPezPWj979Cnt3LzMyUGSmmaFuaSw0k4TFDtu1DYKyQUTpML+eIh1uEB2u0rZV2oZCVGpzf/IWN1t9fHTkFLYGZ26OMxws40ou/jUZWwNNNTlTGOWF9W1sdCI8Gr3AiFxCsAS2jXkz7b89/FneGbmACNRdGdMVSYstxv15qoYXy3d7RvEP5+9EyHRwHAEzZrN/dJWdiU2+OH+YqqHx5fXD7EnkaFkqSy0vpeZb5w8gVWRultLsTOYY2r/BejHKY5f2cnpjhHbRT9Xws9BO8+LcFOvn+lksJqjrPkxDRj5W5qe3vUJUbuEg9DiZt+MUE3KDlusBsFuOiqHL/MrRJ+lYCt/O7aXjKuTtCC3Hx57YOsdC80g4BESdmNQkK1cJi23OV4b5/PodOIiM+MtYbZm/ePrNaEsq/WqF5x87xLfW9uEgMOQrk1HrVEw/15sDPdZtSvFsPLqjMO4v8Kc378NxRdJqnZlmhoyvTkjSCUk6S50ElxuDfHDiPCO+Elfr3nwuIBn0+eosVhMstb3qS+mqkt8WvUjHVchKtZ4HVMTpzSVvb7YSDkHB7KZHtTjbGWajGaGxGEVVLUKaTkatcbo+Tlqt866hixRqQYb6SxQ7QeLhFj9y/HXeNnyVD0ydJ6U0mA7k2BdeY8OIca2WJSE3aVo+7k/cRHChNhcjpTW5UBzin1YOU3f8DChl70AgOKy04hxJL7NSiTEcLDMaKDHXSfMf5t+LC3RshclogaViAqElITgC39rYy7BWZtvYJiGf18YtW0FiipeK1nJU9vhXcVwP7/dKbTs+0eLGeh9L5TgVw88D4etsmlF8gkVYavNg9JrXlusMkZC8EJFh2SNDma5M3fbzlcIRbAQeCF9jWCl2A/9bXO8Mcii05AUuCDYSLg4immCSFNtogsV4vMh4rEhE0Fk0U9zQB3piJ0VwWLfihMU2fskkbweJiS0OBxbIl8OEdpT55UNP8a7kBZY/ZiO44C/b3Rxl0GMCahU+c/IefIJFSOqQlBocC86hiSbjvrx3IBNc1s04BTPMu370ZSzNG+aKpotkuEi608tsdkUvRtIVYehZl9+5/Ih3L8sNPjpyiq1miLPVEQ75F1k14l1gR4iSHSIrV6nbfsbUPKNqge9U9rNsJijaIT6/fgfXGgPMtPvYMGJ8evbNPL6xG000WdJTjMlFRtUCU/5NJFwer+8j1k1jqnb5yYpg0XR8PcX0leYg5xsjZOUKO7V13pW+gOl40Z7HY15E4poZ7x2aAKJyi7fHLxCTmkxF8pxIznNnaoF3Z85TsoI8lttDyQr1hHpeN8NHVG6xZYd7iufb3vs100sru23p0wSTNxrjLBkpHkzcYJsvR0TyiEXH4osYjsz24CYPhK/xgewbjIVKbAsXqNp+yp0A+bpnB7xcH+RMfgRZcDx8qj5A2QzyWmGCb63t5ffnHqZiB5kMeVqcAbWMJpocTSzRsH2YjqcO3xda7dq0ZNaNONebA//i3vR/vX7gTXd6epoLFy5w6tQpfuZnfoYf+7Ef49q1az/o2/z//Pq1X/s1qtVq72dlxTO5/8PZ41y+OsLSSoprhT5euLwDVbS51hrgL5fvIyAbnF8fwtElTFtiKpnnYGiJB4ZnGPUVmG1nWKwneaqwi3a/g7as8tTFPRw7fhOAzJ0bVEohNopR+sN1QrJBx1G4qg8yuXOdDwycJaJ0iIkGmmBTdRQ0wSYsmmx2h+/7E2ucyY2wLZLnZimD6wj4fCYfmj5HaqjCgL9G21Y40LdGqRNkJFTmQHiZkKx7zN9WmPRAhaG9OY70rXB3bJYH+m7xnh0XGR0u8J93fwu5IvOxodc5szmC3Zawwg6i6DIUrvD7R77Mv9r+ChIOablOv1JhxUzQcRVsV6TuaKTlGhU7gILNq6VJPnngJVaNBHui6/zcyHOsGF4sXVauckd4rmfSVwWbsNih7mjEpBZNS2W9FuFWO8vnzt1BYE5F2/LUo7qjkLgzx5uyN9kywgQknUu1QR6KX2Nn0AvnVwSbQ/7F7qFAIiE3+Intr7FqxFntxAnKOmNasbc4Ni0fL81uo2578YnD/jKi4BAQDab8m+xMbBJTvHSrKf8m/YqXoRoRvRZqWqoRETsERZ0xJY/pyqjdjUARbGwEwqLZRaq5qJKNWhFp1zTypTC3Wlk22lF8osWtZhajrbCylGL53CBbc0ley0+Q0yOcKo5xR2CWpNRgl3+N+WYKVbJZ7CSpmhrPlXbwyF3nefCuyyTUJgPBKu8auuiBuRG7QjMfY4EiF4pDDEarJJUmU/5NRnwlNushAqrJ0dgiY/4i6UgDV3NwAxZBxWBdjxFV2xxJelD723Yp2xXZ41/tzbefL+9gZ3Cdkhlke/8WtVyYlUqM351/hD6lyoBaxnBlgoI3Lrqd8yvheoEiknf4Ktoh3p96g6IdZKU749UET+E6pJYIiDo1W6PSnWeOyt7fRex2HtJag4/2neSF1jQHfCuMKXmSos4u3wZ1R2XTjJK3I0TlNs83vJzfx8r7Mcs+fmH6ud668b8feQwzIKBt6oiWx8mWu1Vq7LKnHbiduW26ngTm9iFnQU8TEPVeHnjgY+vYPgHRclHqNlLHs41ZPsHDCYpCV2gnkPhSgP9j4a0k5AYz7T4OpVd5MHGDpuNjp3+dk7VtHvXIFcnbEc42xzz1rxVGdxTm9D6+vnWQmK/dC9tfbse5JztH01D5y3P38JX5A/xz7SDrZhwbkZaj4hMstK7SNiq1sV2hJ266MzTLvJEho9bxiRbP1PfQcRXWzRgPJ65QsQMUzLDX1ZEadFyFa51BbnWyLLVTLBopXqrvIOur0rJV8obn4/78jSPUOhqfXz5CVq56mdBSjZeqO/jy0iHWzThRucWdsYWuZzbC5ZZXleatCCtmkmUziV8yWWqn0ERPAf9ybTtpuc7x4Az3R6+zrUvIylthtgdz5DphXitOoEg2kYBno1qoJSjVgoSVDnONFFeaA4QkHd2WcYFCLcjJ6iQPhK9zNLHEq9UpKnaQnB7hWq2fshWgYHl6mtvdsWltA00yv++96gcOx1BVlW3btgFw+PBhzpw5wx/90R/xoQ99CMMwqFQq31Ptbm5uks16pIhsNsvp06e/5/1uq5v/19f8XxXPm5ubRCIR/H4//9Ll8/nw+Xz/939gWcFNCtCWkESX0dE8LUsl50aYX0kzb/QxPFagLNvkilFEweVW0PssTceHLNj8yOBp/tvX34cbcHFUF3VLxrfXwvG5rCykyY4WyW3E0SST1VaM/157Kz8/8iwfGTxFyQrxE9mXyNt+EqJH0FBwOaMP8nR5D6P+IgU9RETTWWvFKC7Ekdsipt/kej3Lv5l6lqTUYMsKU7AiyILDgfAyT+d3MRYqsiuwzqnqBClfg69cOch6MUpou86mHsEnWrRMhRm9D0d1ebEyzXRii+JcguCaSNMN8cjOZzFdmaxc9TZVwe5Re4JdePuYWkDBqwLXrTildoC/unw327J57kvNIAkOe7UVmq738Eu4iDi9Fi1AWPTmTP2BKu/uv8C52ijxVB3jVhLRgHbWZbaVQZMtonKL1U6clu3z4jAFLwFrWCkCcE0fRMRh3Jen4yhM+XK8UtrGifg8BTNEvTuzqdsaQVnnrsk5tms5LjaHmQ7kWNPjlKyg92/zfxd3VnECXG0PsWok2R9YQnEtJFzM7r2QtyPYiB69RWxjOxphsYPtCgxKVZJik/2JNeR7HPyyyWI5zu7gGj+Reolv1w4QkdsIRRVfRURuQ2ObQ6ERRLcHyC0l+WT1ozSXI0jpDo9OX2G5GWfC7wX+j2nF7gbfYVAp859n3s6vDj7OihWjYge50R7AJ1ps6FHGI0V2BHPMtjJs9+e40hzCdQWqTT83Gv0k1CablTDYAogCC8UE7+y7SMOv9WZ515v9jPsLhOUOtisy0BVGdWyZNT1OWO5wYy1LaqjCW4auoztyD7y+aKTJWdGe+veaPsid/jkSkvdd2Y7Anf45bARu6P18Ye0YPzJ4ujc/XjUSnkLVt4GKg4FIWHTIOxImIjeMLMOatwnffp+8HWFQ9tTYW3aYqNRiUvGU7Ypg8Vp9iqcu7ebXHvg2FTvAsFLiV994L+/deYG7fu4MF37jILLuYvk8YaRkuIgVl9cKEzwwfq3rSW32qrCCFWantu5Z1TRPUPT+wXN84RNHMT6bQTJdRMNFtFzMgOhBEUwPkoDriayM/5nlmX+7i4yvzl2hGcJim9PNSe4N3WBbIEBY6rBuxpBsl7atsmSkUASbrM/zs+/uW2VBzzDbylDQvY1gTCvwI2NVrqf7WWnGcBC4WB8moTSJyB2icotKl/pkuLIXAtPt1gDUHD/jvtuYRbmbLBal46rcbGW5J3ILBS9NbkHP8K21vbhASDFo2iqy4IAK4748s800NUNjKFnhrdmr9MlVKo7HxtZEg9c2xhiI1Hr33G3hWFBqMaYVGFaK1B0/tivQcnyUjCCWK6IINrc6WV7d9GhiuwLrpOU6V9pDJOQmY2oBw5VwYiJbhndI2aiHcRyBciNAKNChavopdbyKFsB0RCpNP36fya1KmmuhQeaaaSaDXrpZ1ldjwu9xocGD3c+30+wNrhKTmtwZnOVP/sXd6Xuv/699uo7joOs6hw8fRlEUnn322d7vbt68yfLyMsePHwfg+PHjXL58ma2trd5rnn76aSKRCLt27eq95n99j9uvuf0eP+hlxSzkLkv3PSMXWdmMcyy+6N0ctkC4r8FWNYQguDiWwMpKkpdykxT0EKeqE6y2Ynxx/ShSR0BMdxB1r4U0qFUwYg6ILrYj0petEFU6WI7IO7OXiEktdqgbhKROby6ouxIrVow/2HoTn559MzPVNJdqgwRlnYTWJKa28W9IOAMdrC0/o4ESp+oTnGpOcrE5woYR5dTGCF9ePcy1jT4WG0k2jBiXi17L9NGdV4iG23zz5j5Ozo/z/JndVM+l+Msn34wTM3l1YYKWpSAkdNoZh/CMxG89/86eh/VWJ8uqkejxO5uO51m80h7qxfEt6Glc4OFtN/j4wEmOBOaRcD3UnZnoYtgq3r2BiCJYVOwA9e4G9aH0aRxX5PzWIO2zSfSES32PgTvUZndojbdmr/LE5m6qpkbZClC1PNHJ+dYo61acuqMhduMEVw2vtT6jZ3l7+hKP5fZQs7ykoplmhtVOnBcXtzHiLzPX8U7wVSvg+a9NL3pxSC0x6itQcQKUrBAPhK6zy7/GjJ71Hni8RbzjKowpeSbVTRTBIik1iXUtNXkn4AUNCDZtW2EkWGYiVOCdY1d6PuCG7SOutNh7eIHonVs0R2wEU8TQZU5kFlDjHTptFSndwaorFPQQdyfmeLG0nZv1Ppb1BFUrwKBSZtlM8qmJF9AEm/OtMa62BqlZfr65vIeiHmRQ8xBvb45foen42BdaoVHxY9sChyJL7A2s8JsHHuPw7nmyA2UEAVTBIiE3ugSmMB9Ovc61Rj8+0aMpzepZrjQHSfqaVKwAa+0YQ+kyLd1rMYYknaIV4nxrDMf97sHkdnCDgUTe9nNOH+ZyZ5ivVw/zT6U7qNpB9sS8YIFlPcm11gDbtE1EwUHFoeL4uaH3c9P0Zml/VzzBsFIkJdcZU0oERJOiHeTV2hRFx89VY4Adap5h1TtE5S0PyfbPl/bz7088zhdWj/J6ZYK/2ziB1VT40qlj3BmaY+uQQuxiEVcErWIjGd6sd+2pES62R1k1Er155JiaZ6WTQBGsrno3wqn6BGUryKfGn6f6wTrlKQlHFejEPHGWx9/97oYr2F7b+fqf7EbCQREszrfGSMhNTrcmWeykWDdj5PQoIanDkfBCzw60rsfY4Vun1K24HFdgV2iDtNrgxdJ2DvkXORxepG74EHE5ElnkbbGL7A8s07I9u86YUmC3bxUbkTkjQ86Kcro5yYYRY69vjYOBRRTRZkQudTMDFF7Pj2G4EitmkuvtQebbKVL+JrW2xko5Rr+vys1KhpVWnCvNITTJJOFrcUdykYTk5d0v6BkKZpgZPct7xy7ywewZNMFiyrfpJcDJNdJSjUGljOnKrJsxRpQSA0qZdyTOc0dknm8V9nOz0cfHxk7xrvg5xtQCWrfb0OoKtTbNGLOtDM+tbifXCfOR8TcwdAXLlOgLNdgWzGM5Io4rcK46zJ7EBlOpAkeyKxxNL7PYSTLo91CRt6+C6YHrNcFkyUiT9VUJd5Pgbudrfz/XD1Tp/tqv/RqPPPIIIyMj1Ot1Pv/5z/PCCy/w5JNPEo1G+Ymf+Al+6Zd+iUQiQSQS4ed//uc5fvw4d955JwAPP/wwu3bt4mMf+xi/93u/Ry6X4zd+4zf4uZ/7uV6V+slPfpL/8T/+B7/yK7/Cj//4j/Pcc8/xpS99iccee+wH+ai9S2hJmAmLYLpF0QwiqzbfXN1LNljnJ469wlMbO1ldzjC2Z5XZpobtuNTbGtMDmzgIlA0/pXYAPWMjiw52wMWM2WiiyX3HrvHizSmKpRD7R1epWz40yeTVyiTfzu3lPf3n2TSjbJkRRFy+sbIP2xEYjNQYCFWxXIm42sIvmVxcGkKUXHa+ZZ75YpJmQ+GN4ghJrUnF9FPSgxyIreK6AuulCMdGljEcia8u7KfTUbhQGmK1EkUQIBWvk1tIolZFzJjjiclsgVDQSzRyayqSIdAYdRB1kbqtYXYzRRXB7iYTuUhdxJntil3SjY9+pcLPjr9ITPIwaBU72FX8tchbEWJKi5wVIyjqvRZzL1zCDhETW4SlNpVyEP++KprocjC7iuF4t+IubY1CPOxZgByV1zbG2Zv0aEEzch+aYLGsJwhIBjs1j2urdCvhI8llhtQymmDwQPwGr1W38ejkVcZ9+R5fN2+FyfqqnC6PMRXaou5otBwfUanJlC/X2ywkXJbNJGNKni/mjvGR7Ck0wat8Eb25YctRcBBRsem4EkU7yICvyucev4/w7iJ9oQaDgSpNV+VyZQBZdAgpOrLocOLwTWJK20vYchTeNHGLrU6IsKKTUJqstL1qfKsV5mhqCZ9oeWxUqUbN0ZhU8ny9dqCLJQyT64Q5kF7HQSCl1EnLNa62h7yoUDuCpDqYdR8fCt/gR259mK16iH+742mekXdxsjzBn83dx5HMCqYjEZR1rnWGqJkaBTNMRvWqkdc3x5iIFbkzNs+GEWNXaINq2ouNvD37fyB0jddaUyTEJjkrRkxqctS/gIRLSjK5oSseLrFrOdFEg2HV62BMalsk5QZbVoSkZHpBHILJq7UpYkqbpVaCn8q+iOnK3U1VY707W3xn/DwRQUcRLNatMEmx6eUay3VmO30Eox1eqUyxO5ZjOpDj7xfuQPDZuE2Zs80x/tOPfY6/efIdRBd19JjSDdRxCa84lKwgo74C19qDAOSsGEfCCz2/qeOKRGRPI7JuxnnP5CUeV3fSqiQBT5glGV4VLbfd3tokWi5q0+XJP7+L0Kd07/BnByiYId4dO8eymeDZrR2IgsvR0DyqYNNxFRJKk2udoa4KX8EveRQqv2Ri2DLPN3ZSNgO8b+gCKbmGKtgEBYMBxUv3chARBYe8HcF0JYKSzrXGgGcd0xPMGBk00eB4cJar+iBV2/sbv3voIqpgM6bme9WpIjhcXh5A1SxajkpI1QkrnS5oxRt/xRXP6rZiJhlSSwRFnYutEWaaGb5e3Me/n36Sm51+RtUCYanNX6zfz6HYCnG5Scv22Ma34ReKYHN2aYSp/i10R2HNjFN3/D3v8h7/CnnLQxue3RyiWg3gxAXqtsbBkRUOR5d7nv+Pj77O51eOYTkihiNTagfIt4MMhqrsDOdYbcexNZGZdoam5cMvmeyJrHh54UaaCTXPuhn3ugHO/73L+i9dP1Clu7W1xcc//nGmp6d505vexJkzZ3jyySd585vfDMAf/uEf8va3v533ve993HvvvWSzWb72ta/1/v+SJPHtb38bSZI4fvw4H/3oR/n4xz/Of/kv/6X3mvHxcR577DGefvpp9u/fzx/8wR/w13/91/+vPLoAxAx8mzKtuo+8EeKRbdco1QJcWhqk4yisbsZxAzYtUyUaaXJ0ahFJdLhcG2C9E+M3h79NfiWOf01CmAliBRwEQ+D10jhtW8HVJR7cfouNZoTr+T72R9fwSyaHE8vcaPfzbG6apXaSzzz7AIX5BOX5BPNF72HcqEd46uIeblT7SCYaaH4DxxVobgUJZpq0TYWzVyZ4+co0TVOlYga4Z2geYS7IbCVFWNZJBNrYpsTsRhpdV2iW/VSbfoSQhZG2cP02YkcEU0QQXC7eGmHX7mXk7XXcpIGvJPKN3AGiUpNhpdRrM92OeCxZQRTBJmfFaDo+Jro3t+2KXTHJd094E75NHMReis5tocVtIcxtqf/V1iD/+shzfGTqDe4ZmmdveI0PpN+gagWY17sc4u4m6X0WF1m0KZtBClaIghFC6S5AG0aMmXYfHVfheGiWf1o5zIKeoWQHeWVpggej17riLx8iDnu1VaqWn7ekr3qh87iIgoMkuMwZnkWl4yqMdheWdSvOo+nLnG+N8j/z97FsebPulqNgIBETWyxbCf4o9xAmEqudOPvumuEj428wHCxzpZTlYnuUQ/EVDseXUUWLQ6kVJoN5hrUSQUlnvR3hqZkdzJeTrDY9b+tMMc0XrhxhKFThhfUpHFfgszN3oggOB3zrPF7fR8kKcqPRz/Vq1hOFVDKYjsRTW7vIWxHOlEb5m1vHuVgZ4oFtt0B0+ejMB1ncTFIrB/ib5bvZbEWIR5tkgg0PqKBVyCh1rjQH2BnJddWeKc5UxhgI1UipTc7VRqhbGncEZ3lT+GqX3iTTcRVWzCSJbhs2LHoZwWc7YwCs2z4ey+9FEpwexGDRSJOVqvyHS+/iD6+/ieeqO9kwYvzJ4oP898W38AuXP8R8PcXJrXF+Kvsia2acOSND3fbzfH1Xr4VdsQP4BJvDvjVvForAsFJEESz+7sKd/NruJ3jt1iSPXdjHYifJf93xz4iyg2AKfOXUUU/5/Ykgct3wBFC2i2R6aXZ/d+FOwmKHPqVKw/ZhuwJiV118234ypJZ6VKJ9gWU+PH6WO37yPPVREFwXBFAbDoLjtZzBm+2Khkug4PC5L76Juu2J4nb4N6g5Gt8u7Cek6NQsjavtIXJmlC0jgiQ49CkVSlaQjFIjprRo2D4uVQe5NzlDTo/QtHxdTKOKItjcMPo51RlDE0xudvqpOxo1W+NkZZKSFWLCn6duaxiOTM6KMq/3IeKQVSqMqJ7IbVgpAXhBMFKHcd8W2wKbOC2Ze0dnSSkNTiTnmQ5sMqltsaV7/vKAaBCW2uhdKMf51iiS4LDWjDIeKxERO705fsdRGfDXuFQb5GYry1MbO/jthbfzpa2jXGyP8jdLJ3jL1HW2R7b4s0v38juXH+FUdZxFwxPTPVnZ21u7diS3yKRqPJy65okvJc9Xe7I47o0hzAj7EmtkAnXuSszxIyNn6A/WuCc+i+lI9PlqnG+Mojsy44ECw1oJ05U53ZzkZivb/S68jHbd/f7r1x9o0/3MZz7D4uIiuq6ztbXFM88809twATRN40//9E8plUo0m02+9rWv9Wa1t6/R0VG+853v0Gq1yOfz/P7v/z6y/L0f+P777+f8+fPous7c3Byf+MQnfpCP+T3X7pENggeLTA7l2WhF2RVYZ1f/JsqSj/lmilCkzeBQialonoeGbhGUDQI+g92RDdZaUb5eO4Sg2Zh7m/Qdy/G1d/wxX37HnxBSdERcIpkG4/4C6UCT905c5O7QTX4y8yIppcGB4DIxrc3NSgb/aB051cHVbCaSRS6tDlJtaOCCbsvsTuYYjZdZrsTYu3OZZi7I1nwStSgh6CKLc31s6SHuisyw994Zdidy1C0fkujgmBKOIWE3FWKpBj7FwjVExIDFHTvncUI2Ukukdj2JVJG5enOIeKiFuOVDjzvMnh9m1Uh2NxOVtFzn2cIOz3sqdUjIDTJyjTE13xPX5KwYtiv2oOW3rTMiDoOKF+Z++3e3g9E1wUPwHQ4ussO3Qc6IsDu4RlRqc7PTjyaa3gaIQ59SI9NlVH449To7gxs9wdBGy+sc/NHNB5Fw2BVYZ8VIIuLwoeGzvLA1xbBSIhpqk7ci1GyNQ/5FgqJBzdE4GppnUt2i0UX+BUWdW50sZSvIlfYQv3bpPZ5dxPJ8fnVHo1+tsFhPcqYxwQu1nRhIqNj8Q/4Ep+qTvCt5gS9s3UlRD3D25hgJuYHhyAyHK/hEk5TSoGiE2BHcZLHpodP2+5dp2yp3J7x0qXigTanlJ9eJIAguguiyWEswFc/zrcU9tFs+vlQ9woyZ5FLNq7p2hDbYHdvgztgCPtnz/oYUnZutLMPBMqYpsVBO8OL8No7vmGOlHEP1mWwf2WR5I8HPjLzAI0PXMG2JfrXKi5tTDKhlYkqblVacvBEipTTQJJOLN0Z4Iz/MfbFbhOWOp9qWWjyf3w54YR2zeh9fzR3ildr2nuL49rih7mh8JHuKpNgkK1foOArPFnbwkxc+jii6NPMBnpzbyfVGljvSi0yEiySCLaYieQ4kV3mjNcEXN44BsGSkemEhqmATEHVKjsZVI8O59jhX9SE0wfJSxAR4rrwTBJftExvsDy5zqjnJbxz6Dv7BBrhwrjHK2+64QG1bCEcReopjRwbtltbDOk5qW3RctZfNvd+/zM1WloCok5AaJLrJZQHRICa3+MMPfhb3rWUEGyTTRep4Gzp4SmZXEhBNl9Rliz987q1ExA5n62NIgsOJ+Bxxtc22gDeO+05+L2dKo7S6892G7WNQKfHO6DneHL1CTG1RMENE5A5FPUhANDhVneB6Z4CS5VnBbuj9RKUWddtLLRvxl1g14t4YQDTxiwbXmwPYCLRcHzN6loIV7gn2Xqjt4PHyfv5y8V7++/WHudXK4k+22WhHeXZzmtPlMV4rT3Cj3c99sZvMN1OUrSAlK8SQWqRsBXklP8mtZobjqQW2h7b4fP4OXqpu56beT1j0uj/vSl9gyr/FOwcvs16LMFNOs9hJ8nD/DQZ8FQZ9ZT686yxvn7xCoRPiH5bvYKbdR93yDkGOK7AnvE5QNdg0o4ypeT6aPklA0vlA/9muBXKB98bP8qvD3yEuewfFrOaBJqJym361ymorhtUNw4lKLTqOwjZtk4IR5PnqToaVErvVdca72Mrv5/qhpwwFZAPTkCg2A9zZv8TvX3yId0xd4ToTnDo1zf/20As8uznNfD2Jg8BUYIvlRpzr9SwJX4vldoL/cMdjHNCWe6q/nBUjKBn0a92MU9tHROkQldrc0Ad4vjjN2asTiB2Rjz7wMtfrWda2Yty1bY4H4zcoWSHalkKl7SeYqLEztsnLqxOcGFxAFS2y/jr7TngK1pPXJxEUh2BYJyzrfHXzEHuj65yvDFPTNQaCVYKTBvlWEMuWmE5scXpplLHRPKv5OBfWBgmlmjR9mneyB8QtjY3NGL6mt6gItsDfXDnOLx54lvPVERbUNAP+Gi3HR59SZVLZ8nB23erWdGUycg3DlZBwe/GIlW47EOgJTjJyHRtPIRmTWtQdjT+af5DN2RTvPHGWoKhT6iLBAMbUPCcrk+SNMGXDTybY4GRzii0jzK7AOl9cPcpAsMqRwDyJKS9F52x9FKmLJtREE9cV+E8X387vHvw6a6YXICEK3iHgZnuYhNwgonaYbaY5HFwkb4UB8IkmUaHFiaFF6rafVT3Om6LXeLa6i33BFSYjBUpGkL3hVVRsznbGeG1lnN8/+GUeL+/ntTM7EBwIrYts3hHlViXN0fQyGbmGhEPBCJLrhHG6OYE2AqYr8tc3TiDLNvMzWfbvWuLMjXGwRARLoCAH8ckWR/pXuLg1wFfnDrBz9zp3xhYwXYnz1RF8ksVNu4+0v4FPtDi1OIY/oNNu+RhMVVjeSDCULdOyVA72rzHiLxFXmtya62da2UIMOOQjYb62eoC7+ua9NCe1wtVqP8v1OBODBU5E5ziXHibs07nR7ufO0Bx1R2PRSvFvRp8mK9XI22F+/dq7Keci5AdCvDN+DhOJuuPnkh4gInWYVPJcNQZISg0MV2JHeJNDsRU+c/puEMAyJM6vDpGLRzAdkXw5TH+gxtV8lp3pTZZKcf7PyoO8bewaouL0qumY2OKqPujxZdUiAUFnzkyTlBr8h6Pf4W+WTkBDoWb4+M9vvINt/XmOjM6zN7uBOmBRtzR2BHM8dq/DSDfZVrBd5DYEtlxOlia4NznTozz1KZ7w0HYFjkdme0D121dMaoHP0xv85NSrtH5J5TNffQt9Zyy6nVkEp5vdrHjt5/6XBf7d4Pv58LazzOt9tGyfF20o171Wai3CdCLPzXofTkigX62iYNNyfOTMGHfHZrnSHGTC7/nqA6JOn887vGblSs8GOKbksRF5Wt/Ng/HrxCTv8PJ8fjtv7btKTGr1qFEJqUGJENu1HJpgMuIrIQoOp7dGOJhdZdyfZzGZIKa2kAWbuqmBDBIejWs65AWs3Gj3cyI8Q8tW6Q/UULrV6HwrxXojylikSMEMsyIluSsyw61Oln6lwrRW5H/f/RiqYFO0QnRcheeL09wRX2DclycpNxjxefGNq0aCuNzqPu8uLxW2Udc9Nbzpypxvj+ETTZJyg93SWpdoFSXmSvzl7N38++knCco6hisTlVq8UpniYGyFUV+hG87iWdq+XT7ARMALEAlLbYpOgAUzDCx+X3vSDz3woGH5aCxH2J7M07YVzLbCodAS0s46yekiBTPE7liOpqGy3oyy0E4hCw5RpcOgv8JUwJsz2QhUHB9fqBzj+fpOZqppNvUIDdtH3ggzFdziT8/fxx88/SjnFka8CtUUaNkqZ89M4egSHVvxCB5Si6OJJYKqwcPZ6zQslX+78xn2BNfZH13DdCTWOjEyWp07ds7z4wdf490Tl/BJFtdyWZ7PbWdmK83SYpqbpTSldsBLqBmYwXJF7hmfo20q2AUfRj5Ao+LHtb2F/u6JOZygjduS6WQtfCUBpQHqtYAHG3h+B7otsy+00k1qabJleyEAJl44RFJqYLtib25rdzfi2yEGXmVrU7Ai2Ah0HIVlM8H1zgC/fe5tFM9nEGyBi6VBVo0Ej+X24BNNEt0AgLtjM/hEz8+X1hr4RJPpQI6Zdh8Rn6cebLlepVGzPMh1TG6huzJ1W6PW8WG0FZ6p7CYpNRhT86jYjCklEnKDKV+OnBXlztgCmmiQVaps13JUrQBVO0DTUvmd62+lbSssGSlGtaLH1FWabA9uUjDDzJkZNowYyXAT05XxiSai5S2kjuyJLkKKgYTDmhlnQU9T7HgzWllweHplmm+WDvL0mX101kLoTRXBb6PJJmrYYHg8T2CggapabFQibLbDyJKDKDrkrW5CmKNS0gNMBbYo6kF+aeBJPpQ6hdWW6XQUrJZMueXnvukZ7u2bZSq8xWY7zKS2xX5tmb6hMpeNfjJSnbatsDuxwSORS4wpBe4J3OJfDz3Du4YuYnf94x+bOo0kOHz9xn5PnSyYZOQ6FTvIlyrHuNwZ4qMTZ9g/vczPbXuBZHcMoQgWHVfla4VD5OxI75A2q2c5HFykX6kQTjURfDaCCNPZLZbWkqwvJ3nH9ssUO0Fc4GYhQ6vsR1MsNNHk5eIURTtEWqpTcQIk5QYZqc6aGafl+rzQED2LJDiUG94mksvFwIXZ9TQnG1OMBkpEZB1VtHhua5r33vEGtk/gdsCQ4IKv6nLr6UlCklfdp5Q6y4Znc7rtK32xNt1tnY6RM2PYrtCDwm8YMYaVEh9/z7NsfLSDERaR2w5y00ZpOkiGZzHylUwC34zwT3OHKFnBbldJ4FxjlCv1AfpCDSxXZGckR8P2MdvKcKUzTM3Rus+iwZhWJCE12O9fIia1iCtNYlKz5zcPi23WLC/U4UR0luvtAa51BsmZMUKKF+NZsQM0bI1nKrt5ozFOQmp48HbHS65q2Br5jSiXtwb4qyt3sVKJIQkuuyI54r4WmmSy1omxYcRIKXX2+FeZracxXZmo3GZHKEdC9fKkD0eXePfgRR6KX6NueXS0dTNG2QzQcnzYrkhSahAQdHb71tjhW+ej2dcZUDyAfExsMarmySpVAqJBSqmjCjYxqcmhuGcbtbsjr22+TSbUPDVbw0DyqFiCzYyRZXcqx9X2ECml7j1XVoj9EW/DzVuej3hZT7JlhXl/4gz9ahVRcLnYGvWCXbr39Pdz/dBvuhlfnQeOXWWmlKLfVyWVrmO7Av929zNoskVI0okpLRL+Frotc7OSYTrqeTfbtsKhwCK2K/KNymG+Vj7CuC/PSiuO7Qq8kRsmpTRoWir/ee8/45Z8ILj0pasYCa8qLhgh7j1+lV84/gxn35jiT5cf4MXKdia1LZaW0iTkBuc2hhlWihSskAd2VlpstsNE5TY/mnmdhVaKsNTh/uh13jV1GccV0NeDYAmU1mJMRAusryT5+vUD5NshmrbKRLTIgQPzSHGdeLKBsunZeV68NYWgOKiJDmq8Q3PIwQx5asqvnTnCh9/xEm9JXGZS3UQTTIKC8T22Hw9rZxGTmj3vpeOKvWoWPHtNxQ6Qkmvd9lSEP1+4j88+dz/STABJF+jfscX7B88h4nJHcpGyFSQhNTBcmVUjgV8yCMs6UaVNWq7TsDV2Bdbp91eJqW3m9UxPkTzfTrMvsMJcM83ja7twXYFk0guaKNohXmlMc1Uf5LI+2BN85a0wPtHkZGOKmOgF4Z8pj3K10c96M8pdgws0LZW//MZb+NuvvLkXyhGSOpTMYDdn1kdI1fmLlft4ZmWaxI4iJ05cw/a7XK3285a+a7QdFdOVmG2mCcpGV0An0jEUZmtpggN19hxYBEfAdQTWG1GMpsrKShJDl6kXg5iGTMtUeWToGo2an8VOkjeqo8w10/QHaiy0U9wsZHisdoCvlo4AIEkuwUSbewbnSXSB6QAP913jcsuL8fz1qe9wqj5JzdHI+OpUTT9bdph89wdgQKlwd+gmd/rn2amtEZAN7KbC38wd5zdn3sUfr7yJFyo7aNsKPxa9xCOhK6iS1+auOH6Cok7L8Xm2jVaUl+rTPUX7gFImLLaJSS3+575/5Dfv+Da/cuhJ9kXXiCWaPHLwMqLgUu74kQSXajWAFLAo5MN8ZfYAluMtyHNmmmXTa9nfMvp6nt+Y1OLzK8doOj4kyaF/Mo8guri2iKNLLLfj9Kte+99yJNqWwnvjb1Cavl2KghkQsFUIbLqogoWEl1KVkhu83phk1UiQM6M0LS+eMSx1SMu1no8cYK0T42anG5m65xWyP7WAGRQRXK+9LDjQScpoGw3iN5r4vhNlrpXqrWFZtcaw30PL3RlbYKUV52BomaCsU7KCzBsZRMHhansIUXC6+D1PJKV0PeW3/a6aYJKR6r04yLateL7fToY74gvUHY3ZVh8puY4s2vglk1I39WxBT3OuPsKl2iCpbA3TljDbCsOxCov1BCUzyD3xWS94ApeZepqCGaZoh0j4mtRtjarlp2r5GfGVSCkNtowIHUeh7vi5KzLTTc9yeX/iDBtG1PMYuyKq4NmUNMEkITVISg0qdqBnU+w4ClG51Y2VDFC3/cw20wyFK8x1MmTlqhfZKjg9Stbnyp7A13FFtge3eocqTTAZUMuk5Tq32lk0weJSc5gxrUDVDmK4ElXbT59SQxEtLrZH+bOl+7/vPemHftONKm3CSod7BuY5EFziV7c/gSrY1B2NfYl19gWWPaaor4VPshgIVZnw5xnTCiw2k3y5cJS/2zhBv1ol66sSFHWmQ5usz6doXo3z1OZOwopXfQkOiIbAcLgCqsOeY/PcKGeYq6aISS0S20rM3uzntVd287vn38p7D531/HKGB+4e9+UpWBH61SpjoZKXklI6yCtLE1yuD/KVrSOstWO0TZnwaBU0h0C6ycs3ppCCJo4tsJhLMhEo8MbyCLLocHx8ngcGZ9hzYpYf33OSYLjDgYlljLKGtREAwePcdvocBL/FK/lJIl1PrdRtyWqCSdNVe1FuNmI3vcnqCa9uC2lui5ukrjjpH+aP8aXlQ/zHqW+D4+XRWkEXRbKRcDyKSStF2QxwpT3M2fooJTNIyQiS8jU4FFzkQnPEa3OrWxwLLzCqFUnJNQZ9ZWxXxC+ZfKe0l5qp8cmJl/jRyTO8f/Q83855RJyw1KFqBzjXGOV6Z4B1M85sK0NQ1NEdT+1puhK7oxv4JZPp2CYNS+WN89sQDW9RNLpKUdOVuFLyLFpv5EewXZGEr8X+vjUabR8v35jC8ntz+i8tHwLga6sHmSunmI5sck98hrTWwFgKsZhLIosOpXYAoSWBKbA6m0FoSwgtiWi4jaTZjGRKZAJ1vjp3gBPb5vnGtf2U9ACKaHM8OkfV1PCrJo+v7sJwZCLJJolwk/+851s8HLtMRO702Mx3BOaomn4+vfwwL9en8Usmf7b2IGvtmIczszyF+ZRSJCjqTCpbRASdG0YfT1X2EpBNhLZIuRwidy3D9RtDvLQ46WXVGmFmzBQfypzpIvyC/Matd/NiZZrrrX6mI1uklAYSLrUumaniBFgyUlScAAmpwV3+OT4SO8Uf7f0iCaXJa1vjiIJLtRJACxiIosPu8XUeGJnlnX0XyVsRsnKVK83B3v/+RuEgy2aSp4q7aegqManFx6dO8YHhc9y9fZY942uk+6tstcNUrQAlM4juyPzCuOdZ/5WPfQVbFXAFAUn3spTltssTxT3YiESlNgm5QVRuM+7bomSF2BteJSDppOQapitzU+/nqj7Iw+HL3BGZp2wFuoIzieOJeSKfWqE0rdJKSXSiIqbf+++VdgXBhYtf2sONZrY3zx3TCj13gSzafHtrH21boU+pcbE+TMUO9uIbB9QyRTvEipkgIBqsm3GSUoOsXMVBpOmqbPPleurnsulBQhxXZKWTYL0doWoHmNTyRKU2G0aMshUkb4QxHYnD0WXeM3KRe4fneGTPVY4mlqi2NeZqKWyEXrJeQPZGRst6kh3BTWbafWTUGm3bO4hu822SUWsUzSBVy2vVB0WdPdoKlzvDTGrev91BpOIEcFzP3vR7y4/wdHU3387v40p7mK8UjjCr93G9OYCIS9PxEZba3BlbYMBfIyAanq0Hl4DgHQIXzTQLzSSv1qewEdjnX6Zha12aU5SKHeB6e4CMWsNGwC8arBlx9vuXUAWblq0SlVp8afEwNgLpwPcfA/lDP9ONyG32hNbIylWeqe9G7xJ8AqLBvdEbmK6MIlok1BYbrQhRxZOlr+lxbr4yzpVhHWXZx7XxfkTJRpgL4ttdQdRFrAEvdeelpW28uf6LPHiizGYnTMtSGRgsUTU0qk0/B/rXGJDLfGT8NPPZNC+sbuPf73wKCcfLLd77Ei9VvWi9puXDJ1mk1To1v8blYj+WIfHq5Sni/TUm4kWGI54942I+RDLUIhlqsbKaBFtACpm8lp8gGNC5UcgQ9BkUtBCaZHKlPsBkokhANtE2ZOQWyHeXME4lSN+/wearAyxvDLI2GCerVHipvoO7Qre8jasb2+YgEhba3fg4b8O9zUk90x7HcUUCks7JxhT7AsscyqxxT/QmRTvER9/0MperA9x4aor3D56j4yocC84hdU/Gc610lzzSYlrb4HxrlKod9GZBjo9FM0XBCnM8OMPF9qhni2kOcqXUz4eG3+hB77+1to+fHnuJnxl5gfOtUQ4GljjdmGBXYJ1WN+5uwl/AcGXuCs/0PJIA2wJbfHnpEEcyKyTHy+w7uk6/VmVQKfNydZqE2qTwcj+/M/42cAQGh4s4mkC/VkMQXJRNFUeC+ZU06UyN9VYUw5aot3w8sbST/kiNzXoYO27xO0e/wZ8sPIBfMXFDllft4iBY3uGmOB8ns63IT4+8yFe2jjASLxOUdUTJ5ebsALsPb3Ch4UXaua6ALNnsD6/07uFBuUzF8cRwDt6o45XGNDOVNJYjMuIrsdhJMhCocr3Shyi4fHXjEJ+3jvHRkVOMKEVeqk8zphX4ztZe2pZCVddwgzYDmQr7d66j2zJXS1m++fphfurRlwmIOl+tHOWDsdP8u9kPUGkECKc7vD9xhmfru1nsJOlTqmyZXoVzJLjAkOqpjAFMVyQqmtzQB/h4/HU+Hn+dX116N6pkU2oGkGWHTw09x8X2CGNqgaIdYkbPMuXfok+p4CCS8dX5P68+yI9uf4O74rOMKXliUrNX/U6oW8zoWY76F6k7Ko+7+xn35Zk30piKxIBcpjYmEVlyEC0XR/AQfWdfnubBd92gYWuogsVu/yqdbl5vWOxwrTVAVGqDAw1bY7+2TMvxsVdbYa6ToWFrlM0A04Ecj2SucumjVc784378BQcjLKAPhBAtMEICUsfl1Lf2MvmhPK8VJ5gIFXtWt52RHJOBAqO+AgFRZ8wfpGFr6I5CCc9tULUCTGsb5C0PHhKVml6comp8VwjZtQ7pjsJsLUXV1BjwV8n661QtPy1R7eXJd1DoU2vsDGxgIzDfThOWO4z78oSlDpK4m4FglTeqY2hdale/VmWbtonpSpysTbIzuEHVChCUdc8ZYMYZVkqYjkzV9qPrffQrlW6crMqAUvHaumaSlqNiKyIdVyXha7LUShBWdPqVMlXNT0apUTa9e33TjPYKAweBohmk5agogkXJDmG6EtO+DX6y/2X+fvMEO/wbLBlpRFxG1QKrRpKCGUZ3ZE5XxgnKBpYr8uboVUpdUei+wApFO8RwpMyYWiCUKvPN73NP+qGvdHdp6zS7C7Ymmt22Rp2o3PJSTqwQpiOzLbBJWNVJdj1lXzh3DDPkIq17N520qCHMBhEsAUlwkVsCb951jbivhd5UWS7FuVnJ8PbMJQ7Hl/n58efZHcsxGK/y4cwpsnKdtFwno9YxDJkpNYcoOKzpMf55fT9PXd7Nd144TNtWuFgc4MszBxnxe7i/oxNLDIwW2ZPeYL6cRBQcZNFGbEgokk2uHEb2W2hxL695NR/nQN8aPtmm0fGxWEzQNH1czA0gizaGIzFy7zKN7SaNG3Gcg3W2XhxA6oDSFPit195Ox1G5Wu3ni1t38Ftzb+c/zL6Xnz39kV4wBYCKjYrdfYAFqlaADSPqCUC6ba0BrcLp+iRpqUZcbvIrQ0/Qydp8ZvYEG0aMluNjvRMjKrfYG14lKrfRHRlFsNmu5RhQyowpXiiA7Yqez0/wPLyfz93BVifER0dOsVdbQRUsBpUyPzv2AknJo940LB8dRyGj1tgwY/hEk7vCt/CJHrh70UjxQm0nt5qZrlleJL8aY7UV4z0jF3lX8hzbtQ2+VTnIszemeW5tO3rCIZZq4F9W2LrQx12xOdq2wt7sBo4Ejs/h6NQiouDSsWU2lxPYCyHa12KU2gGqy1HEqszz1R2sLyeZX08hVhTi6TqpwSqu5FlMkGCrEOFSa4So4qHqRrUSe4fWUMIGpivx8uoEx2PzfGLCA4J4c7QG90euU3M0RuUyH41eJqPUmGukeK00wc74JjGtzbRvnQvlIQp6kLFwiYW1FGOhEgOhKr/z8qP8wtkP8YVTd/KPy3cwEPDa4g/232JidIt/P/kEH0yc5kfTJ/m9HV/BVRw6rsS8kfEytwWLpqGyt3+dKf+WFzDRjvP8yhQLepqUXGe+maJohchIXpZ2TPQgFXnHU+Warkje9vMrQ0/w7sGL/LtdT7M9nefZ2i62jDDfLB/kXGOUqh1gWC1St/2cbG7j21f28V/3fZNolwyldKNIs1KDiS5/+YC2TKvLiB1SPQDDfm2ZvBXhZHOKez54Dsvn6SBc0dsIw0twsjrJQFed33G+K5xSBIu9wVV0x9NtHAwskbcjXNUHqTgBdgfWCIgGfsnswgxk7orOIL65iOUXCG7ZmEEJX83GX3RQay7J6zZf+OKD7I56yM8htUSxHeDhyGXyRpi0XEMTTHb611jWExwJLNCyfUz5ctwRnEMRbI8fq+UIigYLerpn34tJTRxX5PXNMQ6Glrg3M8vR2CI+0UIWbL61uIei4UFEMmqduqUx08z0hGQlI8iQ6gVYSDgIgsuYv0hCbRJT2jwQv8GF8hDJrqL74dhVBpQy09oGx4LzlKwgix2vDZ5S6qy04hQND1mYlBr0dRnaddvPsu5tgt8u7UcTDIa0CttDWxwKLxOTWkxqHnR+TCvycnkbrxQ9etqGEWWb3/t7N63vwgqmfJuUbE+U1a9Vmetkel7sW51+NowoBwNL7A2s8s7UBe6P3WDMX+RkcxsxsdWzu0k43JucYdFIsdUNb/l+rh/6TTcl1RlT8/zWubfx1YUDbJoRTlfGKZhhlvQUM+0MRTPImh5nJFBGFFwvvNoScMMWVtTGCrkYGQtHAb3fJBFsYfSb3BWZwXIkfvzQq/zC7uf49cnvkJUrDKplBpQy2wKbiLjUHa+1d0Jb4u3hi/zewa9yQ+/n28X9XqqJqoMl4PhcpkJbnMgsEA+1GPEVWW7EcVyBtL/ptQ41HVFwqRsa0weW0S0ZVbWx2jJ6U8WnmYiSzaV8P9WGRqMcwLJE4lqLTKTBrWKaswsjLJfiBBIt4nsK3Dm8CHipOa4IwRmVs80xRoJl3nhxB4V6kKFQhU/tf4GgqPdmQzVHo+J4ApWTzSkUwSPfOHiElnkjjU+waNvezOZOv2eNOXZwhvePXeBqtZ8VM8GbYtcYVkoERINJn+fxK9ohskqFtFwjZ0UJS55ISxEs/mzzQR5b38Ph2DKPpK70Qjwm1C1ONSd7FqZ1M8a74uf4RuFgN0HIq8wrtge39x7MGDv8G9wRXcAvmWwYUT5+52v0aXWOBOb55+IhNNHkiceOoiz7KC7FSWwvIUsOnT4bqSPw6dce5ltnD5BQWwSnKshNkcVqgnrbhyrZZEeL2H0GZtLizr5FXNnF8Ts8fXI/csjELas4AZt0sInjAj4bwhZqukU87rWt5utJYkoLTTQJKTr7htZ4YmYXliVhIzCpbnE4tcrBwBIHA4uMyV5Qe94JsGh5IPLfHP42g4EKVVNjR3STlxo7MG2J9UaU9WaUoWyZoh7gztg8u7evcvfoPNPb1wipOjVTw7QlXtma5N60p9bdssMkxRYxscPASJHfWX0bZxrjvJaf4LX2BJlggwurg7xc3kbV9vPq8jh6R+HF/BQxqUVMbXOtNcCp1iSLZpoXmztYNBPMGFl2KIVeznJU1HkweJ2Y1OLD2dPULI0nFnfy+Pm9PLW8ozfqCEtt1jsxdo2ts2ImMF2JnBklb4e53BnuqsU9q5eE2+UyywwoZR4rH+BiZ4S/mjnBaifOzsAGzQEB0y/0LD5mWOBsbsi7v0QvLGZO7/MCJkSDgKh7kZRWBNv17G23YQVTao67gzcZ9+VRBIsBpULd9vMT216jeNDBFTzrEC7IHQdf1UFqO6QuW3z10iEUwaZkhbgzvchnN+/BQaBiB3tZ4P1qlZqjkZCbVOyg56UV26iCxan6JH84/xCWI1JzNC62Rlg347QclXI1yLOlnTyzMc356ggJuckTM7uYTnnakumA59Ue1Yooovf8tByVQ5FlolKTAcVrZQMEJB3LlXBckWUjyb7YGgDJro0qKOpooumN9gIr7A2ucq4+QsEMMxYo0rRVPjdzhFPNSTataFeR7MEfapbGHZF55vQ+ApJB3gijCBZ/nzvBP28dQBFs/mnlMJc3Bii0glyuD7Hdn+OV0iSrrRh7gqsMKBXG1ALNbpDFopEiJHsCqLeEL6PcbhvLbcJim6Tc4H8sPMCwUuQt4cscC87xe8tvZc7oI2fFPMaxaDChbmEjfN970g99e9l0JTJii4/tPs3BwCJPVfYyX01ys5RmdyqH5Ug0LB8Ppm6wZUR4T/QspitxanAU2xEwbYlj/ctstCPcuDyM0BHxyyb+SIffuvA23rrtOltGmJRcZ1iuUHT8nl0A2OVb4x9ax7rtWRNFgIBoMW9keKEwTUjxEGoiLmLAItTXIadH2BdaZTMaJi3XaZoqtxazhBItdmdyTEYKvDg3hV1VGJgoIADRQJt2S8Vpy7RLfk8AoplkYg22CGFWNE6VtxEbqNFu+UgmGpRuJHFFePv9r/P40k6EQ1UEwLwZAUHgmfVpHh68wV0PXuGlmW28J3WO861R6j4/83qGAaVMyQ7xSm07xyOz3RZWm6rtp2H5mPDnKVte2H1eD3G6OcGbwle52BlhUKvwWmmCw/FlJlSv9bdmxhlRilzrDFIwQxwOegI2xxWZ1bPs0tY8IUd5mPtSM5yIznoBDP/LZnxDHyAhN73F0MiQluvc0AcYDZQIS164QVjsULRDLOsJSkaA1+YniUaa/PjkSU4WxhkLeZv/zuAGOSvKS/PbeDB+nfjRLZrP9KE0JQ4cWeOZc7tJj5eoJAP4JIfhZIWaqVHLhSFtokg2Q7EqaV+DgGyQW0mA4kESBFsgNV4ivxbDqqkQtkhnahxOLJMPhZn3J4mqbTZbYfqDNV7NT/DW7DVOlia8NKvoHDGpRbETJF8PUbUCXHaHOB6Z5R837uT6apaP7j1Nw/JxvZblIwOnSCpNbATO54e4JzuHjci9oRtcq2W5Vciw2Ykwmc1zaXUQUXD510PP8GpzO+9IXuhlcv+zc4CFSpKDgUUykked2rJDqILNh4fPUrX97PMvk/VVOawtcT44ytXaEGp3sZYkD7JxR3KRz67exYOZm6x0Enz2+p0ENINdqU3qtsZ7omdRBGi6IppgYSISFk2G5RKx7iL3cOwqv3b2PRiGjCJYvFDbSVxukVbrPPvGHt754EWW9SS2LDCjZ9mrrZC3g4TFDnk7jILNP+aPM19NsVmKIEoOojiFuRjCyq6SkBvsePstlj47heDiEYg6UF0P84l3nuS3rrydPf4VEnKDW51+claUQaXsQT0cH1faQ/SrFfJWmLDUIW9HyEpVxtR8b9G3JY/m9YG7T/HY2gmSVywPMyjjdTqELpXoGxJfsw9xx455Wl24wWY7zIHQMpLohXTc9pmOqnmutIfZ5V+j4ypogtmbi691Yjxr7+p1857a3Eky1qBh+WjpKrN2inwnhE/7bnj/ufoI+8MrXjIULp+cfpGfOPMJrteyTIQKDPrKPJHbTVA1eLk45cFdlDZFI0TWV2XNjBOWtO9R3Eelds+WNOYvorsyiuhFqFqWxFwrxVsSV4lJTRJyE59o4hMtOq7CTm2dWb2PmWqa0xsjmJaEppqQgTf13+RmuI8PZ05TszUkwWU8WCRvhKg7Gjfa/T2O8JHgPGm5xmlrku3+HDYCTceHjUhI6nipXXgkIgmnJ+J6d/YCqmB5gSI+T2z6SmOaG43I970n/dBvunk7TJYSdwTnSEgN0mqdsWiJU9cmWdF0bMcb+n9u4RiVWoC7jt1ixUjyB7u+xFO1veiOjOlKXMgP8J8e/ir/8YX3cvXGMO84cp62rfK22CUMV+Ll+jQ7fBu9+SZ41Z+mWFxpD3HAt86SFWDGyPJ6ZYJcM8x7hucpmGEMR+KubXNeZq0e5Aulo7RNmT7fJG1TRgmYvHX0Ot9Z2IWhK6TidTb1GBszaQRTQB1uMjWw5RGTZkbBEKnnwjSsCK5mg89GaMo0mhqi5FAohFHaAnc/dJnLlQHMC3EszcUdacNYG9sRyG9FSIw20VUZp6nwy6+/H7cp0z6mMOXf5IY+wBP53RTaIY6F59gXWOF6ewDHFcgbHnz+768d49/tf4aY2kIRbN5oTbCqx8m1w1y7OMp1e5T7T1zhQNhbvMAzoEelFk1HBTzKyEvFKS77BpEFh3f2XWRYLaLgJVI9Xt7Pw7HLPY/ktG+dV5vbicvNHqpvX2CF/zF/P784+UzvVP7Pl/bzjr2XODa2yBsv7+DPzXt5dPwqYanDscAcN/UBzjXHePPUDf4pd5S+QIPrcU/xeW5rEKklUlhIoGWbHBlcpl+rEZY6nImPYG0EyFdCrLcVhnZWOD07hlSXcBSXmuXHlV3yK3EES0CwBFxboNH2sdhKciWf5Zd2PEvHUShYYVq2ysnOOCdLE7QthcuVAR4Yvo4mmNyfmeHb+h6e2tjBu4cuAiALDndNzvFKfhJZcPi3o0+SlJpdoIOfX9/+OBdbI/SrFSTBYaMZIeDztAkprUkj4WM8WEQVbE4Vx2hYPt4Wu8iXiscYDxbJ+Br80dJDRNU2cbXNiL/E+cowM4UUv7TLg3MERIM1O8p3ru/mR46eYrs/x6qRIBLocDC15gn0JJuq5efp+WkUxSai6cxWUvT5avzq/Pv45dEnkASHKaWKJgic05MeJhLDwy7KFX794ONe9eefZ0wt8NXiEdJqHddnc39gBrPbWVmzIgzLNV5rjzOl5rwZsC9HQm1xshTB2dJwgOFdOabunecn0i8hCg4n4vNc699OIPdd+lBo0VsyvUjRCDGpRUD0rGE5M8qV5hB7gp6oaqbdx+7AWi80BmDRSHeDNSyyXa9vVGoTuz9He6MPf8n2Nl4JHMUDJYimy+B3JE4rY/RnKmyP5dmbXMNxBa53BmhYPvYHl8mZMeqORkJukJWqXNUHeb68gxOZBdqOys7ABo9v7aaualyqDjId3eJAaJlXKttYIUaxFMKNC8QDbR5OXfO8wZ0Yix0PtDDk9yATO4MbjPsLbJlhntncSceSaRsKlZafwWiVoKyzJ7jOphnxEINdUMNKJ0FGrZORawQEnYTaQMTpiTBbfpWDu1bwiSZ1W0MRLPoVr2NztTGI6UoMhD0utyabZMMWI6Eyd0VniEleFygle+3smNhizYoz6KswphXxiSaKZjPfThNXvIORhMubwldR8Q6F29UcG0aMo/7570nUmzM89XPejvC1jYN8cvhFZjt97PcvMW9keGx1Nz+SfokvfZ970g99e/kf1+/k74p3sWWFudAZZdOI8NbkFfZvX2ZpPUnbVJiK5qlcS2LVFb6wdSevVKb4V298jBv1Pr5+/QD/fPEAjZaGKtgIuohSkdgfXOET6ZcJi22+VTrIiK9EzdGIie3eH+tIcJ5SPcjfXbiTNTvE18pHOFmbpNwJMBEtMtvKkDdCPJy5RsP0Tr+ToQKHUivckV2mYgYYjlRJxjwDuCp7N0fYp4Mp4PocXNWlU/RzcymL44qMjeQZ27YJkosru6g5BWVTZWT7Js6mhmVIuB2J4L4SbVth7tVRHMVFHG+i3ArguxxAWtG4f+ctUnKNpVYCqS6hLmgc3L1ARO7wV3N38UR+N+dvjvGOwUuogs3V1iC3GhkU0aakB3mlOsXbpq5xtj5KSPbmj31KlbsiM0TVDjv2LXP8zhv0a1Vm2pmul1OhagewEbuCB88+dHMrw/7wCuP+AjGp5aHIXA/GcDC05CmtcdnszlW2aznKVrCr2KxwoTnCu4cu8VJ1BxGxzYhS5K/v/VsAZNGG0RY/tv11EnKT14oTxKQWc500l8sDDPgqvTbn/vtvYU+0mYwXcdIGUkPEdQV+Kfs0uiMTldpYhoSvIGIV/dy/8xYxpYXb7J5tXYGVZgwApSLhSi6Oz8GVXH5z72M4CHxs22lEHE7VJlAEm4xaYyJc5Hquj6TW5OeGnyMhNag5Grojc2//LKYtcao8TtPxkdY8C9p0dIumqfJSYwcx0UDFZkKuogkmd4du0rA1claMD42cZUdik5F4mRF/ib/c8TmeW5viF698kF8fe4xBX4WgYPDKygSaaHK92kfHktlqhXkjN8zfnj3BpYUhDg+s9GxJU2qONTPB9qFNbESeK+/gqY2dHE0vc1dkhm8u7qXQ8tSwI6ky9w7P4bgCI5EyN+t9PJC+RUZqdJGQEobrdnnGUS/eUWpQtEO9inHZ8vy470u+wRfOe4lVtisQEGy0Liy940oentIJ9EIiDgUX+e0jX+fg4Vmm9q3w4yOvcE/0Js81dnGmPUFA1Hnw3We9ytMFwQKt4LLtn36LPqVKwQpzqT1M1fazoHv2vwl/Hk00GVULHA4udpOcBExX5pnGbqp2AEWw2DBj1GyNuuMnITd419BF6m9voEfEnkfYFboRkt1r6KsyuRsZNtthntraScEKk5Ib6I7CspGi4ypMqFtkFa/VfL4x6jGQOzGemZ1mw4hyILbKx/teY190Dd2WcVyB7cEtJhMFDo6tMBXPczyzwJXmIGGpzZi/yKHgImNagZ3aOr9/7S30KVX6lCpNy4ci2fQF6rx5+CaxQJs+rY4iOEz4NlEEmyU91YNoiIJLx1G6Vag3EtrowgI0watmn9rcyRvVMQKi56Gt2kEutUa4UsrSthVeqW1nrpNhW7iAJDrcFZ2hZIWwXW9O7eti/+aMjJfFrK2w37/EpcYwLxSmKeghZhoZLjRHudQe9gJOEHrhOUeC8731u2iFeHTgShdUbxMW2/zSyFN8aesoN+p9rHeZvx8YPdcbXX0/1w99pRv3tZmtp3FckayvysOxK5xsbKNqaLimSL3lo2mpjB1eZXY2y0YrwtKFARwFxrcVCU/qvPT6boSQziu17QgOHLv3Oge0ZV5vT5KWa4iCw7Dq0VQCgoUmNfjjrQfZF1rFNCWisRZfKR3lXGGYiWiBA4n/D3v/GWTZfd7nos/Ka+fYu3OcnumZ6emJGAxyJgEQICmSIkVSpEgrWJIlWbQtmfaxjyRb4dKWZR3LOgpHokRSDJIYxIycgQmYnKenc+7eOe+V1/2wmq1y1a26tG/dD4d1umoKg0YPsLHD+q/3fX/v86zScjTk7ZbKbLubjNbm3sQMtzs9pJQ260aSl94+gJw12Nu3xbKZptnS8X2Bxa0MI2N5bFfiib4btF2Vv795lCtXRyBmc9+eWTJ7WwEVyxawhjssLXWhmALCso4+WWVvJs98LYOd9NCKElyPBkSgiI8T9rE9ibfqu0koBqILZp/NpYu7mHponccGbgezxQMmm2aCpqujiC4JxaBih9Elm5IZISJZNGydrNakV62iizan6uPcl5hBSno03BCaaNOUdbbsJIYv03R1xrQ8F9vDfKdwkLFYiQ/svkSPXAMZYlKHRStLj1ILovueFsikxTb3Rae5agzSr1RISB2qbhjLl7g3NsOKlaHjBonrtBSsrSy2Mlxb6uPfHH+WN6vj5Dsxpuf6+GzkAR5N3uD9qXM8WzvI7Rd2YfS6PHjsBocHV6mYYWLxDl7MoL0U599k3s+juVts2XH8mrotK/fZ6sQwXRnBFvFUH8ERWCymifc0aIRCYItBG9GHeTPHR3OnmTV7eKW6j3Mbg7S6VHJak41OnN84/D0ioknVjfClrbu5uD6Arto8OXSDDwxd4mx1mD+fvQ/LkUmGO6iiQ93Q+NL5E6RPtCjaUT6UPMsdWpmG5xOLTO9UjGNqnnkrsL+82t5Df7zOrfVufnfhaQ4k17ktd+N5Iru0LdysyLnyEFm9xZyfwUmIZKJtbpW7Obc2xC/tf41BpcSj4dv8ees+5pQsJSNCXDPYHcqzZGYZTZW4Lz3HF+eP866hG/SqVSKSyeHIMso2ulETXAxPBgHOmT08qOdp+RWKroIoBHSzshvdCRMpgkNSbPPk1DWevT7Jf9l8J2m1xbHIImHRBJrMmD28K3odCCrO3epmsE7Uc5JvlY6yamV4YWsvsugxFivy/IUpfvOhb/LC0FFi80GC2ZdAvRRhaTJL3o4Fu5tOkGt4s76HqGQyrm1SdcM7qMizzTF61UDH1yXXWbdT2J60HWhqM2sEvPEP7L7E6z81jvd/5RDdgPvsSQKS4wc7vaLA4Asus8Yw6p46V9R+hsNlhkNF1szUdnXosldbp+qG6VIbwbVJL5Pb3aDqhDkcXd6ZP4Ykm1crEySUDidSCzRdnblWF5OhVZ4vH+BCc5getU7DCzHT6eaUuYumrfH+7vMAJJU2ouAxHs5zq9nLA7lZNs04dUfD8FQOhZeZNnrZrW3u2Lbanoq6fUDNWTlcX+Rrm8c4nloiLFpk9Baa6BARrZ3XNS23+Imh88E1AHipup+Go3EivbiNm3V3Xv+IaiEKHv1ydbvr6DJj5bg7PsspxonLHcKShbadOK+64cCXvQ3/MTwVVxDpkYMRySVzkFUrTctXd95vIcnGcGXEbaWphIfl/f/Rp/t/t6+U0qE/HtguhtQim3aChhOEQgTZx/cFSkaEudUu9LRBtaMj9nfIJlqEJQsRn8fuucwby7s4tTnMP3n0Ve6OzAS7WXKd377+FLszBdJSE88XKXs6uuAwrJf54tKduIbMbx7/Lv/q9Af5hSOvc7Y6wpBWYt7rYsNIMBHd4nurk3xi9DT3hBZYtdIYnoLpSRw4uMS1SyPkE1EalobTUpjas8KdqUVScos1M8Xp8ihprUVfpsZKK4tQVXnzwj7ElMmhfUvcznbht1WQPdwBA0l2SYQMzr65Fzfs4Ydc3AmD0OkIiNA50WIoXefsS/s49PBtDFdh8I41Fjcz0JC4OzJLy9M42RgnLgfe3qW2zEYrjgBMpjcodqLsihep2iF69dqOC9b2JcbDWzsMZUVwtncAw0yFV0kILWxP5i/X7qdlqzyUC1y9e/QNGm5gEpmzcoECTKqzaHexaqV4IBakEatWeCflnJabLJhd3BmZ44XaAXJKg0/k3uSP1h7jn/e/GMx43hrFzzp8ZfU4+Vf6MTMekYLIi81DHHl8maTY5itn7kLVfd5x/AoVK0zD0pnfyOJZEnuGN8kc38DxRWxP5mxpGLkh4oR8lJrEzEaOib4twhtBm9BTwB+A/kSNW7UQWCJi3MZ3Bb6+dIiFXJaKFWKtmaBZiHCTbqy0zOHkKrpg8/f54+yO5jm/OogkeVQLUU6FR3m0expR8NEVhw+NXMT1RVbNFPu7tjjbGGa+00VGbdLyFZYcgUvGEIrgUHMjpOUg5b1b2+Se8AwXOiNMxLaIDxvsjuT5xsIhvm9PYhkyb9V3Iwk+d2cWiEkGTVvDcSVKzTCWqZCMt/nj6w/x7w9+n4Ib4pNjZ6i5IYrhKEUzynOF/bRslUIjylItxV29S7wncYGCG6Pp6hzWVmltg+MLXpiCE2evuoXlS7j4SIAmuBS8MBc6I/QplZ2ux5S+giK4PJq4wYXcACcS83zmhXfz9fhRfvmOV1gXTe4KzWH7Ig03FMgW7C7mGjn2hdZ5bX6c+4/eZjBaIS6bDIeK9N39JpYvs/veRTYXRgJWsgBqzWfdTJI3o3i+wNHoEgAvV/ay3kmQkDscCK0Q9w3mzRy7Q1vMGTl61YA3vWamyKl1Fswu2q7Kscgim06CQaVMM6vx7fem6PtWYDoSPPB+oAT0fDxZoPctl2ItwfU7QO+zScltbtW6A+tXLMSIUtip1qp2iImwxYHI2g5+dN7spletYfsSjhej5Wh8Z+0g9+XmuC85w5BS5kQiwIwG4TARabs9PhCuEpcMFMHhRruPifAW850uXpsf58GxWSKyyVgooDiNqXlGtTwtTyMtt1gzk4iCz6zZTcvT2LITlOwId6UXOBBa5VxrlMFQhboTKDXrXmA/+8F+s+VLSILP4dgybU+le3vv+Hhofud6r4sGti9h+9LOzcUOLCXV4lRzN0U7yhOJq5xp7eJEZI6Wr1J3guo7KbWIiQYxwabty0xpq+zX1oK2/Xbb+sHkLXTRpuxEAw+5FyZK9Yc+k37k28sQcEDzZgxJ8IlJBseii2RDLQ6OrvKBPZfoDtfp7a5yqG+NtqERi3YYilf44tU7eWt5lOcvHuDugUUsR2bTTOykXz+7cj9R3eTizDC/evXDvNbcGxwovsytVjcJzQDB5z/NPs5IbwldcHhX9ipvVHZTtiP06jVKdgRFcpnU1lDwuS9yG0Vw2RUu8kj2FkePzpKfzWA4MuF0m3d1XUUTbRaNLFHJDIJWlRyrMzmEjogfcRBsAT+vc221D/9qnF39BWKpNslEi1yyyertHJ7mI1oCYlMGwcfM+HgS9KXrrF7pIVQQWGkEKy4JtYNfVVFrIr8z+xSf37iHb1w8yivL4yw3Upy/Nsb6SoatcmA3OZhe43BshYdTt5hpBnPQ3dom61awoJ6T6ztJRmnbQ2v4CpdbQ3xl7hgjkTJP9NygZEdouDqeLxKTOrzZ2oMkeLQ8javGIIrg8GT8CjeMfkpulAWzC8NXAnC5XEMTHNbsNEcji4zrmwEkQGvxvdrhwG5zbJOxsS2W1jP0PbpCaqKMUidIJF95lIzU4pHDNzj28C32RTa4uDzILw29jNeRkXSH+bODwWtoRPj60iEyeoueo5u4vSaeErQFk2oHO+LjbYdj3Jkoaa0NTQW5LpFJNbln9zzDiQoDeoWb+W6iqoUYcnBdkctzg3xt+jB/vPQwp2fGeD0/Tjxi8JlD3+BPH/obNMkhKhk8nrlOSu9wvjbEpfoAry3v4spGHw/sDi6ETUcjLRqEBYe92jrfLhzmQmOIWaObzy/dxX+ae5Jn6of429XjXCgPcl9yhoIVYzBZxbElfuXoK3SpTcZDedJyizEtjy7bHO5a477BeXxfoFIPY1R1/mrlXp5rTLFlx0lIHZ6d28ftShei4NM0NR4anCWi2nw4c3oH9XcotIwieCRFa+czm5RawdqQ848hFQ+BhqezX1vbSSB3SfXtuaBMy1ORRI/PvPRuRFtAKCvcbPXSJQeoSNsXSW9fhGtuaGcP/fN3/RUjSpEBvYq3fbG+OzJDTq7zs/1vUD7k4YsgWRAueHz/7cPsi22SUVo7nOJurYEqulyuD7BiZVAEhzEtT0Q0GdUKbFhJam4E25dIS61tilInqEaVMi4CYdHi6Ogya4978IP2ss9OsCrAjAp0XbFRX0mw0Q7QtSuVAEjzwtsHA961G6JgxTizPMJ8p4u2p6KLNqrgBGt9nsqIXmShmubu5ByK5NKvVTisL1P3dDTR3tE1JqU2R6NL7I9u8EDiFjNmNytWhuPRBRJSm7jcwW0paJLD48mruL7IgtlFwY1TdSOcb40GWFTJRMJDE2307X//idgcd4bnCAsmD8ducH/8Nh/MvE1GajIkB9jWLrlO21PxEHH9oNhpuxqrVoYLzWHq23hKUfB2KGAvNidpeRoNT8fyJa6b/fxd4U7qjk5OafAnaw/Tq1ZZtjM03BCS4JERW3RJLVQ8rlq9hLd3xzedBDNmz84aYsMLYXgKu7VNvO2buJqn/9Dn0Y/8oXtnfI4H47f4sezFnSpyUCnx4Z63+Wjvafq1CpPRDQ5l1nlX5gof2nMB25V4PHMdr6ngLkSRazIbnTjvHLrF3fFZZs1uTrZ3M7OW41h2lclda9zfP8f3Vif5zNK7Ao+o0qHQioAlUm2G+cTAySAIIrU5GFujZEYwPYV3Ja9wT26BvBtj3Q3TJzdY7GRYNxMcD83zZPYadx27TakWoV0M8w8bRwiLFk8krvDt1SliqsnWcho/7AYfyrYUzAllH7cpoxdgdqaX3liD3ekiLVNFyXUga+6A1wEG713Fv6fG8mY6OBxU2FzKsC+1xcVro+g9Lcwul3w1St3UiWbadDaiJPUOXUMV+gdLOE2FU/OjDOpl5owubrT7+ETvSQbVEq4vMqwVGdOCyiUptemS60Qlg6zS5KXiXm7We/jY+Fnek7qwPc9sEN6+CCfFNtcafVxqDQXsZwIEoOErTGgbKILLvdHbDColNp0ErW1Zw9n6KLc6gWXldHMXx2JLzDWz7NXW+aM9f8u+xBYfP3yGxXMDSKJHa8jHiXqoqss/1I5xIjHPgdg6NSfMocFVhuQgTOJVNDzd51q1j/U3BqjOphncXjm7Z3ye8K4ahwZXSastHnjnFTpjFr4U0L969Rq44MRdxpNFIrJJRmtzpjyCZSqUWmEiMQOzoxBLt4iELNaKST546Dw/3n+BrkiTfygdY81O0R+u7bTu7kovUDIiXNvspdPUONi7Tq9Wo+Ho/MPVI3y9fpSX2xPBvFK2uFnuZq6dZWMrSb4W5SvTx1hay1BoRvh+YQoPAc8XSMbb7NfWeF8iaCuGRZMVK4PjifxY5jyDeoVYtEM82kGJWhSaEebawSzvv116hMFMlScHbvCfhr/Bb+39No8lr/PBgQuoBMi9t1u7goQ0fiDQ2CadKYJLyQuzYSUpuAJVT6TgRhiTy9gEcIXIdiW26SSIiRZbToL1+SyiEfCTfc2n5QRWnpanUfc1MlKLnNSgW67twDJsXybvxjhfHqJoRjhfG6bqhZkxuznXGuUTD7yBLwWCe6Xpkj0r0q9WKNnBIfoDIH6vXuOh9DSfX7qLRauLlqehCzZzRo4j4aAizirNnbbpQjvLNwtHKTgxlqwsObXOL/e9zCdPvEXxoIQvCgh+cEPsSQK+FBzEdlgksulS+5sB3nzmEL+6/xVmN7voHS/QcEMBb9gO8ejYbY5HF3Zmjrpgs9wJ1ufO1Ea5t3eBtqdyR2aZmhMm78aCA0hq7lS3ri/soBE9XyRvxZnpdFP3QsFcWWnyMyfeYKbexTOVQzRdjSGtxMuVfSwaWQ6GV7grOseIXuQdiesc0pfpkauMqAU8XySzzYaOiQZpqbnd7g3axAHYpE1OqRMWTeKSQcMNEZZM+tQKz87s51OXfoKCG2PdSdHyVSwkHo7e4A+WHkcXbOKiwe+8+W7Org7znYuHGdc32R3N82p5AtMLRk4KLhYSCh5ZySYimngI/O7KU/zO7ae2V9vGOdUK1t32qMHMOu8GmMu327t+6DPpR/7Q3a9u0CPXeKEyie1L7NY2gWA2+IP9uQl9g8Vmmi0ngSY4HO5e45niAWI9DTJTBTzVp+Mo9GtVzjZHiUoGn5s9wQenLjAWKpBUOxyKrPBjg1cwXZnfvfUk880shqWgJk2GM2WeLU2hi8GMYlgr8tN9b3K92sMfrz7ChfIgC2aOW2YfX6jcxVYnxqAeLPX3KxXuTC7w2K7b/M5D3yCimFScCP/m5gcAuL7Sy2NHroMhkhyuggSCJSKlTQRbpDbpEu1u0h2us9mKUy1GGe0q8ad3fREv4oIHvicGPGdDgbqCG/HwJZBaIgN6BX1LRldthic2cfIhGqaKdT2BYAuYjkzbVFmbzyJFbRLxNpfrgxTNKBklgJpfbg9RdqPogo2Ejy7YWL5Ey9NYM1M8szHJocQaP9V3igG1zA2znz6lQq9SZd1MUHDi/MsrH+LtmVEOR5aZNbuDi+124sT2ZXTB4sv5u3i7tYtT9V2cbIyzYSfpUhs0XQ1R8HkkfoOcXKcvVONyZ5g1N0HejPLVrz6IL0LbClrp//yR5/gvB79GQm6zbGZ4vThOxQnTozeoeiHwQamIeDGHQiuC0gSygc5taT7H28tDNLaiPJyZZr2ToFur86Gj5zByDvjQcVX8mIOaMUiqHeKyEcz2t7LEoh0k0afT1ujpqrEnU8DxRPoyAdA9b8eJqwbnNwf4Vv4w3VqdXrUKQK9S5XBqlUSkwx27lrBciYTcYU94E6Gi8L21Sd6o7OavZ+7GcBWKlRgXNgYRZR9BgLBuEU+1USSXA/F1ylaYwUiFj4ycC9r3XggIKh8XgfflLgYsX6XOB0Yv8Y7BafoyNQxDYaWZwvRkPrT/PCcyi0yGVpmxs7i+SI9UIyyahEWbF5uTSILHcX0FSYCCG9r57Nrb+9YPx24gCUHnICyaNLb3a9NykzU7RVI0dlbH/uSNR5HaQR9YtAV++7Gv8UTmKp+fPcHbrTGerR1k042Td2PEJYMLnREMX+Fr5eP8x2tPo0guouCT0xr8xcoDfHnuOJeqA4Fgfr+PaAc+3Oi6TcWJoInBzm3RiXE4skxUNpkzcvz86Bv81dzdnGmMsekkAloaIjU3RFQyKDpxhtUi70hdxyPAb0r4O37eYa3Ie957ktI+CU8WcLdBHZ4k4IsCohvMeLWaR/q6y5naGLLs0hup898XHua7+YMooktMDlbkTE/hXGOUuhfC8iQark5IsrkjusCLW/sIi0HYseGFgj1jBBTB5WRtF3HJYMVOU3BivF6f2JYeBL7evBXj5eIEmmjzzu4bnC8OEJVMRtQCQ6EyB8MrO9XnHnWTpNjeSQZHhH/cbU5Kwff/cusBXm7u3/FWuwRc9x65ioTPtNFL2Y1wPLTAYW2Fe0fnef/4ZW4Y/XyjGOwztz0NXXB4sGuGTSfJFXOQ+w9Ms6urSM9Amaob4SfSZ6jbOoYv8zcbd9P2NSKCRc3TMH0wPJWzxjA1K8RQvMJyK8252jBZpcGkuo6FxA2jf+c161crP/SZ9CM/0z3TGWWX3qDhBKGGq0YgF3iruYe03KJHqZIU24xEy7xSmOBfDz3LF28fR5Fd3jE4TVw2eFXZzUYlzkYmwZn8MJvxOMd7VnYA+A+kbvPn8/ezN71FV6jJ4maGynoCtSBhD5uokstYpEjZidIl1blt9HAwtMLHBs4gCR4vV/ayYqRpKDoFK4rriYxqwV1gn1xjzsrxQHyaFTvNRivOgd5V/qZ1J1ZLRQnZnN8aQEkbVBdSCGkTz5RwWgpC3MZ3gpWom6UeOpYCnsB/HP0m604KAE/36E3XEQUfRXVwPY34tEzjkIm6rHKxOkjszgKNts5AoobUEanOpem5Y4tCJcZmI0Zvos6KI/LI6Ayr7SSFTpS+SI0TkdmAdxo2g5aMr9ByVOKSQdvT+NLaCQYiVSaSW5yIzAXpVF/E9BREIRBoJ5UOy2aan514i5oTZre6ieuLLJnZHReui4Dhq/TodbJKg7998V6kwTa/fOA1FtpZ1toJHkncxCMw3jyWuM6LtUkMT+HS63vwUh59B7ZYLyVYmk0wn9zgqytHkQSftN5m+nY/W70xPjh6kZ9+65PgBDM2JWzzsbGz/J/1B/nfjj2zk572PBGxI/Hfrz3EU7uuc1/0Nr+/+DjJ/jr1RoiM2uSdkzfY6sR5eWE3yWiHmGYSDQcrbFHNwAqbVJphau0QsZDBajHJ9XAvfaGg5dcXr1M1QrzS3s37By8hCR4XmsNEJZPdyQIrzRSlVsCr/XjvKbyoS9tUOTs/zAO7ZzmzOkwkYiAKPo/tvcqZ/DBtU6U3XiepdWh7KuORAs+v7WXfyEbASrYV0nIAOkhKbUaUAl3bh9292+s590Zvc6VniLl2F6YnE5eNnVmmJ4g7yeuaG+aSMcA3Fg/xV1NfQAROG/0MyQGJ6gfgCtuXEfHQBR8DSApB5yOjbrLmRoPHIjpIcgURn/sP32KlmUIWPSKyxVFtBRuReiFKelcwVzQ8la8W7uDyej9mPgwRJ7BwWSIztoTVUPmZO99kd08APfjG6hFudvr4mUde4bkXH0S0QXB8/uaL7+ATH3+OVStNw9Vpeyp3RuaYNvpYtdI81DfLhpHgUukOPjF0iiUzy4qR4oHEbb6+dZQuvckDidu0HZWmq5FVAg3mm6095JQ6A2qFe99zmZPfPER01Ufwffzt3V1fFHZ+b8ZFzn/pIHt+fJ69sS1k0SMk2dQsfSd5/5HkGbbsQILwdPYyz5cP4PkC3y8dpGUHLOSqHcb2JQ6GlwNfsdTieHyJNTtFzQkH1aVWZd1MBhWvHScqmxxMrOH5YpBoNlWuNPqRBI9VIwBwZJUGSa2N5QcqvSUry4nwHHVPx/AVCm5s52b8E7m3+H71EH2qtk2M+8eRUcvTAhewpweCB6uPuxNzjCgFbCReLe3h589/nF878AIxscOwVuS3rj+N5wlYpsJ9Y3McTy1hegpXjUGOp5b4+vIRyrUIf8V9fKL3JEmpRcmOMKiU+MzKuyg0I5iOjOnI/Mr4y8H6ktVH1Q0+Wy1PZZ++huNYP/SZ9CNf6Tq+zKee+zglI8KSkeGV0gQX2yOYnkx4OyH3YmOSuq1zOLlK3o1xYmCJya5N6k6I89UhPj36LB/bexaAB3rmCEk2o+EibVfjq+vHeLm8lwd7Z+nV66TVNiM9JaSYjZVx0UI2P9//KlmlgSYGxo6UHMyBvrh6gj+6/TAXNweYbWSp2mFm6120bJUvrN69HSAQd1BqVxv9HO9a5nJ7iCMDq4TiBnZbodnWyCRayN1tIjEjmNNKPrLqgCmSCncoriX4y8NfQE8a/OqtDzNt9ILkQ8glpNjMX+nnYO864TUJR4dsVx3BFbj5xhh7UgWMUoiZfBepA0XU/hYbc12EQhY+gTC6P11jMrJGt94I/K/xRQpOHGv77nnVSpORgl3cz63fy/85+xA/1nuJj2RP8570RV6q799h4/4AIl91A47sZDhgZ0uCt71OFOFEZI6bnX4MT91x+u4Pr/N6aTcDBzcJ6xbPFfbzyq0JZi8Ocqo5Tp9cwfACAfn+8Dony2Psv3eerv0FNi73ELoYJrIq8r3Xj1G41M1mJcblm8NITZHGTJK/OHs/fltGTlo4ER+7qnGuNsxPTJ7H8BWGtSL9I0V8T0CpC5jlEFHZ5H+/9V7mZ3vwfAFNtzlbHubs5hBz5QxWR2FrPcnsYjdRzSIdaROSbVxPxGir+D5srqZRFJfrWz1oosOxxBLD0TJDsQotU+ULMye43u6nR62TVZocjy8Rkm0OdAVdnWudAQaHihimQlemwdtrQ5iGQqulI0seJzdHaZkqsuSyXo8TkSxySoOyHWEoXmHFSHOqtgvLl7f3Uk365ApJ0aThKdurPSqN7bnbA9FbJJQOUdncYe9GRIslK8u6k2LTSbBmJvlu8RCVrTjfbRxixY3SL1e4bXWzvK2ei4mdnXaj7UPbkzG2qyYRaHsaYcHE9iEhukREj/uSsxxKr/ErQy/xC/2vAqDg8cjUTaKSwftT5zmqrfOp3hcYzZbwZQ9/e2YqmiLORhhRC1qxb1V38aWFO+mJ1Hlf4jx9aoWVxwU8WcCXBTLXHWxPplepkJDbjGoFLrZHgt3w0DIuIiPhEj2ROnNGjooT5lhsiZanMRSpEJJsWp7Gvem5bVdrYO7Kyg2SUpB0noyucd/7LlI67OOLgWoQAn2kL4KrBkIOyfRZ+eoY35w/yIHYOjHZoCfUQBR8ylaEZSfF+xLnudQY4nJriLqtc2dygaat8Wu7nqdbqTMcKnKr0U1cNNC3V/gCZnEQZNo0E6TkAKwxoAc3OU1H21bhRXi+NIkiuViuRFi0uFToDzSQZnAz3fY1LF9iWC2S37ZYzRo9TBt9zG2bkgDuj9/msBYE4yKiSUzs0CMHYJGk1GZYLSLh0SXVWbNS6KLNV/J3kdFamC2V37/6Dn756kf592++j+ZWFNuScUyJihnwqE9Vx3bWgwqlGNGIQbfeYNropepGKDlRNp0EA+Eqvi+gSC7v6L9Fj1xjSt3A9QVML3huJCEwOP2AzPfDfP3IH7p//OajiIZApR3imWuTXFgY4mxlmLwRY6aT483mBB03YHA+FLvJqpXh4eRNPtX3PKYnMRSu8GZzD1+ZOcZaJ8ml8gCHYivkrRjLnTQROUg4V+0wj8au80B8ml8dfpFHd9/iVx54EYB+KUgK5u04rW3N2cnaOKoYJIk9T6BhadQdjYzeYiBWJSTb/E35Hk53du20Y+KyyWOJYOXhXZkrjGTKDA8WAWh0dMa7ixgdFTImkuaytzfPvr2rrJcSIMIXSvdiNDR8X2C+k+Wnjp3i3ok5ls4MgA8x2aS118RToXo1i6cEH3THF/mV+4L/l9JMBu9WFC0vcUfPCh8ff5tiM8JkcoNlM8Ph2DLHkssU7VjQ6vG1nf25F2qT/OnCg0QVk3t759mwkqzYGQxP5XBkmUGlhO1L3DYCi8+SGejNLF+m7oX4uy8+wqnWbvqUKorgMKCWudgeZtbs5uXKPv7gymNce2ucjbd7qTdCzL42yoN7b+OmHPaF1gMHrGgxohRpexr74psMRcps5RPIbQEj62MlQa2LDB9fRZgJWNue6iO4AnJJIdrdRNPtnYtfWm3zldN38TeLJ/jfX/xx1vNJvI6ML0HfSJHvLB2g1giR7q/SWIvTnWiQ1toMJapMZPMIog+STyhh0DA0IopFzdRJR9poIZtUpEO8q4nZUvmZiVPsC61TtGPM1ruYq2XQZJd3j1yjV60FqkHJYKaT477MHMuNFHeklrhc6+dwZpXHd91ElVxMU8F3BUTJpVKLUG/p3N23SMdUubtvkazWpO2p5I2gRa6JDjfLAe6wS6rjbavWqp5Gy1eJCTYx0aLqhRmUyzQ8nZQcAFFankZGarJupxjV8pzQFzmmr5BS2tyTmuPQnmVeye+h4enB/FO0aXihHd2iikdMtGh4CoYvU3ADylnDlylt708CbLkqtk9QETkaSalNTOwESkBPY09ka/t7BoYfwPCfzF3nxIE5JM0NsK+Sj6/4TA2tc6PRy4HYOh8ZOcfNQjfPNabokyv81ye+hKuL+KKAZHl89sWHd4QHhqfsGIimzV6mwqv0axV+IncW25dIyW3U7XBOTmmwSy+wZqUYUMuYnkzDDQI6ZSe63eIVGVGL3Blb4OOPvU7+qMh2ABlPErbVgNsEK4KDV3suzmdPPhC0vbUqa+1gvHG6OY7hK9ybmKHjqRxMrPFmeZyRSBnDU5hu93A8tMC/Hfg+YdFk2UxzoT7MF27fyY12H1U7cHY/kz9A01Ep2RFOlUaZaeZIyB3yZoyxSJGJdIGWrfFGZZyoZjLWHVyfpo1e1uwUti+zYqfRBRtVcJnQN2i4gQ/Y8BRankZSbFP3NdqeRsmNkpMbdEkNFNztOW9xO7Cq4Poip1q7ubzVx/VSDwg+tiVT3YiDJYLkY3cU7t87w78cfI4+pcInu99kj7pFRmwRjpp8ZOwcfXqVkh3h7dYYe9QtDF/hvvht/t3+Z/gXIy/wROIKOamJh8BhfZU+pcKDkVvbqMr0/9SZ9CPfXkbxcSMObUMFW8R3feYKWYy6RldPDV12OJpd4Z7obTxEhtUiPXKViOBwNL7MzVYvs60u4mEDTXJQpCD80XI0hkJlYorB8egCd+lLVH+QsENgWC9TtKMYtQCVt2kmiMsGy1YGgKFQmQ9mzxIWTf7t7fcHc9FWkv5IFUXwaNoa880sLy5N8C/2vcSVzhBPpy7RI9UxQgpT6ga1XIQrzQF02WaplGZ6rZvjo0tc2ehjMFUlrhhMl3Mk420qvsDL3z+KkPTYclO8XI3ieQLimg5SoCSs2TojA0XWNvuQWwJ21EdpCJxdGGZiaotMrEVlKxa0tyS4mO/n9flxhOUQhyZW6JLrFJw4o1qeZ0tTjOtbbFkJupUaz+f3s1ZL8P7RyxwJL/Ll/F3ktAbPNA7wa/3P8UZ7Dy1Po+JEgg6EaHNHeJ7LxhCLRpYtM05ryOVzX3sHj7/nbV5cmuAX977OtVofu6IFzm0OIl+OBgQfB+yaitkfAOaP71lgv7bG2c4YXXId1xdpuDq9ao1ntiZ5z4ErnMyOUr2SxRd9pI7A7GwP+t4mjw7N89orB4MbEAFaqzHkrIEng+AIdFwFJJ/S1S5E2ccNiWgJA9MOoUousahJpRBjcmSB68BqIcV6OcF9w/PM1LrYN7jJSjVJNtoippjc2sqhqQ75epxMuskdXcs8Er/BX64/QNGO8rdLx/jg8AU+2v82t40eupU6R0OL5N0Yb5Z3sWXGmYyuBxzsWGVHQN9wdGKywUcH3+ZvheOsFZPYLRVJd/FckflGlrFsiT6tFggCJINbdDOolDisLyEKPv1KhZanBUhDuQq+TJfUCjjA24EhRfDokepcrffxdNcVxtQ8N4x+IAjxFLwwKi5Hwou81djDvZlZ1swUK1aGQbXEiFLcmQH+4CuAF/goBIGXsqtzy+oNHKlSi4anEBYcFAEark7LUZHwSIsGpzvD9G9fILukDpYvogoe03aaVSvF1c1eulINlIzHylwX6B63tnL8k32n+fML9/OBqYuYpsyXbt5B76EqNTfE5l0SfW8E8/mBlz2uPzrAZGiVs80x6o5Ol9okIQdt0BcL+4KbO63MsFrgptHPqfIYP9Z9EcuXuVwdgCQUzSh/sPgYn5g4Q0puUXEiAed8+3npVyq0n1T5auIE6QticNB2BKy4gLC9x+uJATkrc07iW+W7ePixS3SHGtQdnfVOghG9h0Ujy52xeUS8nRWi860RIEjp1kWdabOXohVlJFTC7hNpORqeLxCXg/3vXr2OLtr0h2sklTYpucWCn+Gtwhjj8SK5ZIPVdpKRWJk74ovMd7rI2zEm9ACtGhYtXq7v3wlJbpiJQBbvxqm6YTJSk++WDvFk5irH9MWdSrtfrhPxzB28ZQB6uR2ITTaitKIOviOC7yOEHP75HS/TdHWiksFD4WlcBNacZFDAiAaXjCGO9KzyhZkTCIKPYSj852Pf4MXmJBU7zFioEIT5tvMotiAxt+1r7lMqtHyVXUqBWaOHkhP7oY+kH/lKVynKCE0Zey1C31CJx6Zu8h8OfZvBgRKmLROSbZ5f2MtvXH03li/9D47Y46F5Hkjc5vzSEMeyq/xE9u0AtdgcYrmVou7ofDL9FnfpSzt34j+4wIzrm4zoRU7sm+fviic4Hl1gWCuSkls7oYWX6vv5k41HSGgGvfE6suARl012hQvkW1GSahtVdnilspe7IzPknRgWIjmpwXebUyybaQb0StACURwkyaPQiTKSKQNwfm2QciXCVGYDYSkUHByqh9iUGMqVuXfXHGpVwO0O3vxnr4/RFWpipwIUndNl42o+0opO09HIhRs4ER8r6SM6UF1M4rkCeLBlJ7bbgBJxKbhB6ZcrrJlJfvfqk+iSzWOD0yiCy7yVQxY87ogukNFa3LJ6CYsWni/QrdR2OKgeAXu3ZEe4UuxD72nh6j7fPnmMsGbx3689xPLfjjHTzHG0ZzUQNshgxX3CKxLvPHiduXqW93ddICbYfGX5OKtWht+88R4+d/Ye/mbuTvYlNmk5GsXZDHJTQDIE7LiP2JHoS9UQBQ9P9nGjLl7ERamKgVTCAdEQSSptpKiNp/lB+KwcvNciPS0OpQPge6qrwXwtS3ktieuIuI5Ew9FY3Uoxm8/SE2tgOjJxtUNIszFMhUjMYCKd5/TWSABdkS1WjSQfHTnLPeEZ+pUKj8au81j0BmmpzaS6ydHkCq/Pj/OlhTuYM4IVneVOGsNVGAqVGQsV+Or6MXbFi/hAKGGgajaeJ7JUSNEbqmN6Mm1P5dubB/mvw9+kR67xZmuCUa1AUmyTkVpkpCZfLx8PwnC+TMuXeb4xFRzAvkDJjTAZDxLlY3KQMG+4OnExmOVbSLxQOwAQzA2jC2zYSQblKioeEcEOXvdtZKe0PZcMCw4RwSLvxoLnRDSZsbuo+xplT2fTDaqjnN4AoOzp1NwIEj4tX2XNjWL6EptumLqr06tWeXBojk8Mn+ajg28zPrGB0JQI61bgrVVdrtd6ed/EFfb25pkzckxoG/zOB76MpwQHlmh7fOnF+wManF6kR6sz38rSdjU2rCTXF/qYDK/xva0DNLwgROX4IgUnxrOFSY4kV3hpY4LlRgrHETlTGeHN6jii4O3cHIp4hEWTAbXCLz/4AqXjLpIBTggE18cXg8cieOxUwolZeOM7RygYUeabWWKKyYaVpFcNqGQbdgpNdNBEZxt1K/Ld0iFuGv2smSmmomt4COyNbNGt1YnIJjm1zt7YFo4X7NnHFIOCFeVqY4CobNEbrgfXXMFlTzRPWmnR9lT2h9fJKQ3ebo3h+SI3W31oosN8O+hkDYXKXG0N0CUF5h5FcPlQ19s746hLxhBzdo6qp1H1wtuWJmWnm7FLKSDG7EAWEXJIpFr89JGTHNaX2aNvcDS0iLW9yrlkdXGz088zjYNs2Qm6tQZR3eSf7Xmd9+65SlJsk5A6dDyVHrnGXi3oLE2bfTxfnwpMZtsbDGda46w4adqeSs39f1aGdr48BYb2bYIP7+y9xS/kXmGvusUf7flbdmcKxFSDR4ZneHT4NptOcufgmLG7SIsG/XKFyf4NilaEP1t7iBv5Hob1oMLNKC1avsJVq4dFJ0PJjXJPeIYeqU6/XCEn13kic403l8YAWDC7eL20m1utHpquRq9aYzhcpmKESKodWrZKa1vwfE9PMG/RFIeiEWHR6uJWp48XGwf4vzYfxPQUdul57ojMc1d2ga5oi550cHDfWulhdqMraCWXNUJScHiKDogxGy/kcXd2gZulHnwR9LkApye2JfbFNhF0F9GB0LyK3BGQOgKy6HFHcpknnzyL0go+2XpB4tDwKvc+co1xPVAVxrYX52Oywc+f+xivro/zi/ve4GhyhROxwJ3bdjUMVyYnNzgQWed2p4ddap6Gp1NwYgyrQbVTcqMMqiVqdoiJdJ5OXcfOOIimQOl2BrMcotUPN0+Ncq3Yy/6HZ+h/aAVnxKA1EtiNHu++wZX2IDVPo3Cum//+1qNU8zEEQ6J9JcXNWg9r7QRD+zbpjAetdbYB9/OzPZxaH8GNu4zt2kKuyCCCbUuoVRHJgFfXx1HVoOoRjcAUldhVwbIkvntrirat0mxrbBQToLlBsE30AgmAD2ZTY6GQ5t39V1lppkiEDAAeHpxBEV1UyeXf3XofWbVF3Qrx/tg1YqLFDaOf3UqF8vaOqC647NE3uG9sjsnsJrtDW9yRWOTx9FVKnTCa4NAj14goFjHFoDtdpz9VQ5FdutJ1Hh6bwfFFtsw4ZTvCg10zuD7slm2i28E3UfBwEeiTa3SpDTadxI7n+H3xC7gIvG2M8gdLj/Oe+EX+auVe/qx8907Ipk8OFH5xwWR3aIsHYtPoYjDXHNUK2L6IJriERYeqF6JfrrLpxgOghafiIaBsr7MAxAWTLqmO4SlsOkligo2LQFZp7hzUY9oWJ1u7ebZ2kOfrU2y6wYjnXHOURyK3+FTuJa60BnmxtI9fGnqFR09c42NjZxnT8vzHo9/mnsw8jidyJLnChhEnIgZWmsIRGU8R8VSR9FWBs81RYmKHsGixP7ZB3dEpWxEEKUAffrD3PN8rHuRmqw/TlXmtuIepxHqgGLUUKq0Q79w1jSq5vDkzzpnKKLpoczS8uJMoTstN7gjP8wv3vkLhPge5DbEVl9h6IEoQtmfTvgSS5ZOc8dj48ggLpTQJpYMkBDuyP6g269u6vh61Tp9WIyTZ3Gr14HgS52rDtF2VW61uynaEm7UeLjcG0USHQb2M5wfrZIYbQDjSSouyGSaptBnSyqSUFnUnxCE9mG3bvsSR8BIXGkM8nLjJkFbiodQ0j8av81T8EociyzxXm8L2ZWbNbl6r7+WG0c+ykyYmdbZXmHwyYovYdhZn3UlRcOOc7oyBAHrEIpVoUauG2aevB/5cJ8q6nWLRzrJod3GqOoa3vQ99X3SapxKXebT3NjOdbnaHtni+foAvLJygT6vydmuMghPfgW3oor39WQu8vDU3hC7YHAitMqiWfugz6Uf+0BUdyIaa+JrPYifDv5n/AH+4+Q5Ewedne9/gYz2neV/6HPPNLBmpSdULU3ADNde0HTCBP9hzDsuVgn5+zxpz7S6iismXZu7g78on+Nv8nVxsD+/8N5XtwE9M7DColHAdifOtEb50/TjThQAWUbMD5qqERybUpuloxDWDhXqGi9VBWo6GLjlkQm026nEUwaHtqZi+zIHYOkfCiyybgY9SEVx6w3Uk0eP2dB/UFbyGwtSuVWLDNZ599SiCK2ClPQQBnjp2me8sHqBcjeCGfVzNx8na/NQjr/Pa1m5+9uibeBIILljJgOH81lYgK1jvJHB1HzPt0Rm12Bvb4mNdJ1m1MsyYPfTIVZ6pHOK5uX08MDLHpyeeIyyaOxaUffoaCbmN4Sp8vXRHENQQXV6oTaILDjUnTNWNBDADN4zhKRyMrRGSbI6ML9E/VGLvHUsIjoBoiLjB/QL1ixn6QnU2nxnk3vE5pJbIW7O7+NLCHSx30nzk+V/EHjKZ2rvC+4+ex5d95I7A2suDdIcaKJKLGrZxVR/R3i4XRJ92SyecaVM3dHwpwGTGI8bOa12bTvPU2HXktoAb9jh8aJ7afAp3I8xgrkxYsUjGOqiaE2AfLRFZcdkb3SSVbiIqLp4r8c3VAHkJIAg+UclEFjyOZldoGSovLe7hia5rnDX6KLgRHozcYtoOJAAn27uw/ABdNxVd4/H0dSKiuS1bd/nY8Ntca/SRlpr8RM9ZLpf7iSoWP9Z7iX+771m+Ovl57owtMBIqIYsu840MKbnFkhOn6nmMqAVcBM61x9C3u0APR28iCT6bTgIJn003TkRw6FfK9EVqGH6Q+KzaYRaNDKtWGtsXdw7uQaVEj1RnUCkxohQYU/Ms2lnavryzNvRaa28QunITbDpJ9O1g4S2zjxGliIW4k4rfdBLcsHqQ8BHxWbSzXDcHAJjQNyhbES5VB3bmxpro8PXaMRbtJMeii9yXniUptnkidXUbG0mAONS2eEfiOjmlTlw2udwZRsLnn33we3hqEKpyVfj2SydQBZdhtYjri+TUBo8mb+DbIrpo06NUqVohZhtZJpMbJNUOWbnJihHMAye68miizWCowsHhNQxXISkFZqhZo3uH4tTwdLJyg1+95wUa722gNmxC650AvuIHn1m94qO0fCTLJ5J3CX83zq1aN79x4Dtca/WTlNoUnSgdT8VwZRTRYa6dpUtt0HJUqnaIghElp9Z5LHWDB+LTxBQDEZ+03Aq6DJJF2Yqw1kwwGi7SdDXSWpup8Ap9SoWYaLAnssmKneFGu4+r9b4ACRnO80ptH29UdrNlJzjV2s03q8f4g1vv4PWNcRJSi6hkMBYqcEBfIS4aDMllYmKH+jbtT8JHxaNHqpF34vzt6nEU1aFT12kZKvgCf7z0MFUvzKuVCSxfoupGOFUfRxR8DoZWuC8yzZzVjSh4PBC9xf3x20h4NF2NT46dYt1MkpZbLFnZbR1joPFbMrPM2V2IePSqVW6ZQf6k4f3jqtv/1zPpf+YA+7/jl6v5xBST4T2bvHppH3M3+3jt7f2sOEmerU1heAp/X7qTW+eH+a3rT/Od0uHApSg12a0UqHrhgIKiNxmJlLA8CdsXaTsqpqng+BJzlSzfXpzi5fp+Wr5K1dN3QgC6YPOTB95mpZNib98WkuSxP7qOKjqIeOTUOv3hKqrocPPmAG1bYbaUZbae5UBsHV2ymcpt8I2tYwxpZc5XhsjbMWbMHl7Z3M1r1Qkars7R+DKfHn2WT977JnpPi6n9y3i+gOuJqDUBN+oiOAIHBta5Xu2hNZdAXtJxhg30A1V+/Oh5nl3fR1+kxqqZIvVgkHz15OAQKpzvZrmV4sH0bRhpoY81eHLqGiN6kTmrm9lODsNX+MziuzhfHOBfHXyR+xPTXGkPMaIWyEhN1uw0DS/EhfowI5GgBf5ifi+rnRQbRoKb7V48XwiUbP4/2po2rThxucOj2Vv81PBp5gpZEH28qMOuoyuE8gL2oMXzLx3Fl+HNs/vwBRA3Alb16VN7ifc0ELc0rk4PMt3oJjtQDapaEV69spcnu69zz/ACTtxD8EAviAi2yNHhZTrrUYr5OGpVQC2LvGfwKlbCw1dAqYsstdPYcY+BiTyX5ofAg66JIkfTK4zHihzpWmWyZ4NYrknXYIXfO/RNRHx6Yw1U3UHTLfLFOGvtBGm9haK4mJ7McjNFx1U42rdKMtoOAi1umIYX4roZ/N7wFQbVEltulNebe+lWamSkgOKTlRvExM4OL/b15l4WzC4A7snO88HYLY7qq0zbCeaMHFmlweViP78+/CwX6sO0fJXCNjHqeGierFwPBAKCw6Bc57i+zKaTYErbYM7K8UZnjBdqB1hvJfir/AM80XeDsVCBnNpgQt+g5IWICyYlN8KIUkYUfNbtFA0vhO1LXOkMoggeEj5JscOYlue4vsSYXGbFTvN7G09wy+qlS65jIe3A6lXB5bC+RNUNB2pJN5BhrFkp/vcb72XdTtGr13g6d4V5q4t1O8WxyCJ3RubISU2OhxaZ0le4bfUgCUErV8QjKQYAF0VwWDODveM1M8mVziBT+grFg8HsWa/6hDYFfvvau3Za4mUnQt0L8ZPHzuwYhvbE8zyau8XVSh9FI4Im2pwvDXG8Z5mnuq6yYSRY6aR4ousaC6U0Xyse591jV0nI7Z2b1h/gUNuuxtG+VZZ+0cXs0tFqPqGyR6jkIXc8BC+o9H1RQKt7VD43BMD54iBfWjuBIrh0qQ3uS88GkBClQ1ZpUjIijIRLjMWKKILL9c4AV9qDNGyd4/EFBtUSg2qJsGjRrdWptUNsmgn6tQoxxcDwA/Vgw9OZbedoeDp7Qxs8lrmJ7UtI2yzo8UiBdTPB7VaOqGTyE2MXuLc3wDm+UNjPhfow364c5YbRT93TmbNyLNpdvNUZ57nmJH9fPc4/vfIxvps/SMNU6U/XGOwvkYs32T+yzlRqnYvtEQC+sXWMP739AN87f4iTt3fx2bX7uG4OoAoOSdFgUK7RI9Voexr3xAJX9KOJGwyoZZbNNOebIwyqJRJSe2f85RGsv1WcCEtWltut3h/6TPqRP3S9cHBnbrkSYkfEl3z+zTu+g0TgNl2x0zx/YQp6DUbTZd5YDFoKeTfGjN3FDaOfw/oqHVcJcISyyXszl8jpTdyOTN3W8XzQFAfHC9Zjqm6YtNSkX67wzeoxak6Ii6sD9IbqCMD3Nw7wQOI2OblBWmpypdTHUi2N4AgUVlIoksuh9FpgL6mmeevWOGuNBEU7ylwhy+tru6g4kUA3V+7G8wXGtDxpqcmJyByfmnyZzWaMn+o7GaxDHK6D7DO4fxNVclic696p5h4Yn8WyZW7WeziQ3uQ92UuMhgr0ROqYGQ/JEnD14OCdL2bwfJFP7j/D7039A0UzSJKuWSlU0eHzC3ehSQ4nckvsUTcxfJXHYteJiQaDSoldarA+ElMM+rQq70hd4wO9F3aUYSHRoulqXKoO0PBC6Nu4uAORNe6JzZKRmnx+6S6MUgg37qJELRJaB6PLR5A8QlsC7rEGH33gJOF1EcGFSimKm3B4avg6XsgDR6BihLi7ZwH9SJmhh5foHqjw98tHuVLoRUybeKqPHfWRmiLL9RT6loSoulgpDyfiU7Sj/NzjL/Hp9/4Dzt42MdlkdN8GW2d7EFWXiSPL5BcyxGWDU5vDZJQWPXqDJ4dv8p/3fh0Rj3F9k0ey03x84m1+df8reI7I9FIPS7UUjw7dZs1Ikm9Gma13cW51kKhqMdvoCqomqcaQUqbuhQIRvS/zmaUnScktRpQCdU+n6kY4WdtFwYlzs9PPVGyV2VYXJ0tjjMVKhCWTqgdVT6XkRhEFn1PVXTzef5NDap3f7HuWGbMHlaCdGxMtPEQkfFwEXARm7AxHQ4u0PRldsFm10pwtDO1gFEV8Xi5O8NX5I8ya3bzUmGTO7mLTSVD1dDadGKLgUXKjrNhBdf1ic/92eCWC4SkU3AgzdpYVI81ouMis0c1No5+M2EEVXBatLt5s7uFjr/5TfvfMU8Eai6txoRm0R3985BJFJ8rd0RlWrTR/v3iMK+1BWp5Gv1TDQuSG2cuKnUEiQIzGJWMnXfsD1OTB8ArHYou4iLRdlbOdUT7wY29gxkWsqIDc9pFfT/BWZRxJ8DgYXiFvxxnXt/hm/gjTRh9DWhldcOiPVBmOlnm1PMGTvdfJKC1eq+5hdzTPgdg6ZSfKkd41LmwGlXreipOT67i+sO02dkjIbdJqi/9y7GsUfrqNHRUQrQDc4YtgR0RcdRuooQhIls/kp/+Q+ks9xBSD3zjwHWxPYs1MsWplGNFLfHv9IO/svsm58hCWJ/PM5gFW2imikklEtnixtI+8E2fTTpKSW2wYCR4bniZvBvANSfCZM3IsWVluNXvJKC265AZjap79+hoDapmaE6Lh6qwZSRxP4nh8CV20A7ayJ9Mj1zBcmXelr/ChzBnO1YZ5qTHJ9c4ARTvGpcYQG1aC2VYXXdEWGa1Fd7RJ3dCJqiZTqXXGokUcX2KhnaVfr3J1pY96I4QYtVHDFtNr3QwpJaa0VSSCdPuak9qRUVxtD+w8z7v0AnvCm8ybOcbUPLc6vUREk3kzx5aToGKHud7sZcuM/tBn0o/8oSvoLsvNFOuLWQQPUv012p7K640JTE9GIrC/hEIWXVoTu6nyZn0PX8vfAcA7IjeQ8NFEF1l0A2Sf1GS1nQzmNa6MaSvU2zoHIqt8p3QYXbC5agzyG/M/xtcuHmO9k2AoW8HzBZ4avs6vjT7HlLbGsFyhX6mQL8VRZYcDh5aQYjauL3ChOMhCK8NEugCWSKkYo+6EmOzZYCRZplepcm9mFln00ESHRSvLM/VD22GXJtlwi4IT571jV3nn6C3GxzY5nl1irZkg3V8lcaCEO9rh1WsT7Ove5L+Ofo13pK5xSAvCPzm9iaf6yA0BK+Vi9NkYLZWN7TTyrNnDe7sucak5xNnyMBeKg3xi9DT/pO8tetVa4LJUyrR8lRmrhxmrZyd1uDu0hSI622lXl5xS5+7kPFU7zPVqL3OFLD1yjb9cvo8vbt4VaMbEDut2is1CAiluISgeiuJybm6Y9KEC2u2gvfPxibfpVau4WqBiS1zQkGoyz67s4+DUIoIjsHkjx6YR587eJZJah8qFLkpXu6hWI9w1ssjH3/0K+v4qru6Tn8niRHwe2X0b0RLQSwIpOVhnsX2Jz931V/xvvc8yFK2QOFLklw+9yvRqN7HbEi9tTlBvhOlVgxnoscgCMdFgUs0zohTZsuM8Er3BjXYf+AKS5nKiZ5nvz+xnqZ7ikYHbPNA1yxO7bhJTDGTR4/euPcHpzi5iorFd+ei4vsi7e67Qr1SoemGeK08xa3QzX8sG+931Pl4tTgSP2ZP4dO9zvJTfy8nOKCt2hpON3STkNgv1NE1H4/eL9yICd4XmuG71kRRNFu00u9VNLD/g3xbcUMD3deLk3Sj9SoWnY5f5xPBpVstJurU656pD3FzpwTAVHo7e4J2xq1TdMHvULTxfpODGiYsGe9TAyjOiFjkUWuK8McK6k2LFTrPmBGsm/VqVc5VhzpRH6FUqVLc7SX+zeIIvv3EPesyEVhACEwWfe2Kz3B+b3s4QqEQEi4PhZU50L7FhJtiyE9vz4qBiLjtRLrcG2bIDhGjZjdLy1aBz5QZVa8PT2TTiLLXThEWLOyILFB6w8SWIbrhENzymP7830Pn5Alm5wfV2P4vVNFm5zuul3WzZcd6VvkrB+MeLdFiygn1PK8YefYM3S7uYiq3xi3teZ+83/gMHwyusWBkMXyUtN5mxejA9haPRJabNXo70rlG+18LVAkykLwmIto/g/qDaDUJWoYKP0vSZfmY3ALOtLi6UB/n3B77LV1eO4G0/5rszC2x1YuyOF2g7Khdqg0zEt3hP1yW+snocXbS50e7D8oKDcqGa4XYrhyoG61BtT2VXuMCqkWTLTvBn6w9x1Qie29lWF2m5xaHYCsfjC4xpWxTtKMudNB1XoeGF6A3XOd3che1LzNeCbY/J0Coz7RwDeoW9oQ0qZpjJ5AYA3aEGR3MrPJidAcD0ZBabad5Y2MU3bxzC9wQE0acnW8NsaHgtmTU7hS64LDop5uwcK3YwO74vMs3e0AYZucmCmaPoRImJBjdbvXy/doi8EePvCnfy1ZUjPLs5yZVyP7fK3YTlHx6O8SO/MqRHAhZsdqBKy1B57/BVztVGsDwJXbJZFtIQt/ntA9/m18/+OFJNpu5oXDizm197/7Mogofti4S2gQE/aF1FZZNEqoXhKhzo3mC9mWDDTnJyZZRzm4P8k92nyDeiYIpcWB5EUVwkwePdmUtI+MzbWd6o72HNSEJeoxHV6A43UDWbYz2rnNsYZK2QJJNqIugu4bhB3dE4Pz2CFjc5mlxBxOenhk/zbGGS/2PkFItOlNdaexnV8vzroWepemGm9BU+n7+P4+kl+rUKib4Oti9xb+Q2M1YPX1s7ytXVfqqDKqtWhm8WjnLu9b3c+eBNdk+uUdkVwqmHYSGM3FJoH1DJyE3ansbrtT3crPQQVU0+Ovg2+/WATDPt93Lb6CElB8aOHqXKtc4gfXJlRz32fH2KPiUQqfdINTadBNPVHMV6BHs9QulAlOXrvay1Ba6MtvHGRVquymB3hXf23OQvzt9HuxRGiVlMZTZ4JZml0+txq9XNyTcnYbKNciuM0eXjdVlUF5NUYlHQPdBcrqz38cjoDFvtGE7Yx4u5aFqQ5sxbMXw/CJAlD5QobiToUhuoe+t0DIXPnbuH4cEiH+i/yG6lQ8uDkhnh4yNv84evPMHA7jwVNcThzCo/PfwWLU8jLJksmDn65QotPwCzp+UWiuDyrQtHOLRnmel8judv78NtKGxWdcqpPHHZ4Ex+mN5InY6jIEsef3TuEb7afZSfG3mTfaF1IqJJl1wn7wQV0aVCH5foY3e6yFutPRiuwlYzRlQz6Q43+IOtx5he6uG18AQ5rcHNag+bepyfH3mdjNzcXscQ0AWHghPDUCXankaPXGPdjRERLJ5vTPFA9BZrdgoXgS+s3wPAUKSCJHnMtoI2tmdLdHXVcBFRcXcCWeK20AAgKXaCubCdIKZ1mNRWWXNSDCpBQlkSPCb0da5q/WTVJstWllUrg+nLvG/wMuXeCAutDCvRJLpokzcDHm7dC3F3ZAbPF6l6gcLt7vgshe31jlca+wBY6yQ5FF9hdyggULm+AIKI64vogh2wvn0BXbZ4JH2LpqvvWG9+895v83tbHyCcBysioFd9vvXl+/nYx1/gjvA8G3aSI7k1/nLpfiaSeW43c0GIJz1HVAqyARtWEtOV6dernGnsIqqYvJyfYCRWojvR4LOr9/GB3gskpdaOLtDwFBbMLnZpW5xIOIwcLvFcdh/+P2RwQwKRTRdHE/A8tme9PvgCviDQ90abyU//IaNPK7heUHeZtsw9/TNcbg0SkmxsT2K+meFoaoX5VhZdtLlt9NIfqfGtwmGW6ymOdq1yOLrM2a0hurUGYcli3UhyudXPodQajhe03zNamzcquxmPFNgX2+R6s4/J6DpX2oPcaPcx38wyFi0iCj7nWyNMRdfoVmokxQ5TmQ08X6BHrpFWWozrW8E4Lb1C2YqwK1xgoZ2lYesQgpaj8fKNvQiyBw0FvbtFRLeQpcA5pIRt9JDFS+V9HO5bxvVFIqLJZHgdF4FbVi8uIjc6/TRdjSu1ft50dlFsRrBsmQ/tucDF6iCK6DG/nCOWbmFZMoas/NBn0o98pWstRem0NYqbcSxLZl9ojazWpC9Uo2xGaNg6B4bXebW+l49OnsXTfOZqWTzNRxdcWr7M12p38EjiJutmkran4iLQdlTSkTbdeoOleopqR+cL5+7GWo3QqIf426U7aLc0or1N4tEOYd3EcBTmzRxJsc23Skf4h1PHcTyRkYPrtOcSXLo0Rqeqo4oOEc1iqLtMy1A5PLaMaShcKwQUKUVxudHope2p5OQAVnDa6N9hvB7X1oiJBpYfQOE3OnHankrFidB2VRJSh7dae5jSV/jVkZf4pUOv8u3aUf74/EN8KHeW0TtXsDyJjqPQsRQODqzhy9AZdAiLFm81dnOpMcjp9REk0WMquR4Yg/Bo+SoT+gYHQys0XZ0epUrDDdGt1ChvY/uqboQhrcSV9iCzRjcrdpo/vfUAa+tpDvatIxkC/6/XniY9XsbOOvza4ReQRZe00uJ4dglJ8HjqwDU+cvwMnz78HN1aHTfiIYRdzq8Pcv/91/BdATPjYWZdaChBO317n0JWXSxD4UJhgJhqog01keoS/3LqJe5P3ma5lcY0ZVJTRR4fuMk7D13jVHGUPzn8Jd639zJ63GTtYi/P5Cd59NzP8aVa0BV5ozJOaE1i/Vo3/t01+rUqMdFgSl9hQttgn74WrEL5At+rHWafvkbJjfBzJ15ntpTFWosgLeiI7eBjeUd8kW8uHuRAepNDiTW2GlGaDR3flOhYAURhy04g4vGNwjEA1uwUR3NrPD10nbqlc7Y8jC7Z3N2zQEINLvIlM8JgX5mRUIlupU5Gb/FQapoRtchepchRtYEiiIwqHp+I3+DF5uSORm/R6trh8l41Blm2snxu7V7Wagnmi8EsvjdR5/JaP+/JXeY37/k2G8UEz9YO8nJzP91KdTsQJRETDeqeTt0P1IKDaomIYLHmpEiKbZJS8MvwgjnhrnCBY5FFDoaWAdijb7JmJlnrJHk6e5n3D17i63OHeSx1gy65ztC2/GJ5G8YAoAgOI2oRXbCZDK2yS88DEBYtjB2NXNAunzWDDk3VDaMKLur2445KBkmpHWjd3DB9d2zgKQJaw0NwfeILLl/48ju4ZfZxZ2SOyeg6AHfF57g/NUtWafBmeRff2DhCXOwwoQfBqiGtxD2xWTZbcR7JTQPwQG4WSfD4b9cf4VJrmIYb2oHxRyWDBTNHWDTZF1rnvUNXKN1rozR8rIiIqwm0cyJ2OABpCF6wUtfp1tAqPrPPj1Hr6Pzm1fcylKgSlw1G9BIDajCftT2JC5XApNV0NBbbGcpmOMBrdq2iig5FO8a7Bq+z1knSdDQ00WEsVuJCeRBNcnhmaxJFdMlpgbxktZPC9kX6lArjoTwtRyOuBO9LCY/FdiZgzssVDF/mU90v8kTiChmpxaBe5rYRdMw2jDhpNWC7a5LDh3NnGNXyTMVWd8KKu/au85lD3+BXxl/mT/d+mXf3X+WfHXyN8XSRm8VuWr5KRmoi4qFtBwRXrTSLRpbTlVFuNbpxPJFqR8e0ZJLRNn83fRTPFyi3wqSyDfZm80RCJrcK3T/0mfQjf+i6URe3oCN0JDxb5JnyQVJym9V2khvXhrha6mUgXGV3aIvJ0Cr3HbvJjw1cRu9p8Vxzkm/XjvLq5m7qrs6ZrWGWWymudQbxEEhpbQpmlFI1SnMtHqRTAWoKlUaYnmwNRXKpLiep3U5jeyJbdpxfu/1BXr2yl0h/g490v83DudtIA23uO36Tn7zjDPsiGxzKrhGSbT45cRpR8Hlq4hp7M3mUkE1rLcbpmTFOFUd5vnqAlNam6kbYo+Q5oK9Q8xRebu3jZqc/SGDGCjRsnc++fR8XKoMsGhkKVoweqYXlS9wTniEht3l68irXOgP8u9Hvst5McDizSmstxlozwccef42PnDjNfDtLx1U5uznIVG6Dn+g/hyK4XGgOc6Ezun2xDDCXd4QXuNge2bkZWLdT21QaiUGlRFpu0atWabo67aaG0JSIyFagxfOhNJ8itKQwpJT41rkjVO0wObXOfCfLlXIff/vW3ZysjTOklegarEBDZjRTpmbpqDMhtLKI3JRQqiJuwkHZVBAskUjYRNzSKN7M4vkCji0h9Bp4vsDbjTH2xze4c2iZj4+8TVi0iMsGm9U4p1q7yal17MUovuRz+/wQw6kKb1dGkAUXXbJpDzm4YY+wZhEWLfaqW0QEi2mzl4zUpEduUPc1RvQip5vj/P7SE7xS2EO7qRFZFvEU8EIeoWybrywfp7aa4PXFXRS2q2/fEzi+f55/PfE8A2oJTbS5bAwxV8nyZnWcK82BQNQtWiTVDmmtzfHkEhmlRUprc2ktEJ+XW2HWzQR/M3cn/aEq94TnmDF7sHyRdVeg6LpICFQ9j+vNXs61xwIilVzn27Wj5JQ6SanNuLbFZGKDmG6Sizc5GF1Fkxzes/vqjmHnZw6e5Fhkkec393GXvkZSdJjYvgnbpRRIikbwvhHb6IJDXDR2djADhKSJ4ak03EDTpgs2JyKzxMQOH02fpj9UxSNgdndaKorgoAout8xePF+k5kbIOzGSYpv4tsnmaGiRv988zo12H4+lbwDBPnC/UiEjN5EEj+z2Da3hK6S3jVY/sO9U3TC3zD50weaDA+dZeyRw3UpWIJ/P3HD488++m7dbu5jQ1zmeXeK20cOYtkXbUwnLNodSa3TJdW4afYyH8tTcECt2mk8MnaLsRDgSXaZgxYgqJh/ec57vLU0y3e7hW6UjZOXAkrTYyXC6votvFQ6TU+poUZPCfQ6Svc1plsCJBClryfYRLZ/GoISVEFBaYJ1O8/ezRxgIV4EALhKTOkQVk4l4nqgSOLOjskmvXgusVu04ZStMx1UY0/LcHZnlQGyd86UhrpT7GA0VWC0neX1mnJTWZkCr8NrqOIfCSyw20+wKF5k1u3luaz8R2WR3NM9yK03HUxkJlxAFj6oXZs1JUfU0nq9Pcd4Y4WpjgH61wpqZ4pHULbJKg4IVo0+rMqnm6dm2Rg2OFtB0mw/3naVfrhLZvqEa17boUyr8Qt+rPDl0g8udYeasHCt2hj8vPcDvrz/Bi/m9fPPWIWYLWZZqKdbrcUKKw3iuSL4UR5Y9qkaI1maEuG4yXcxh2grtuvZDn0k/8u1lJW7iNSLgCVBTeH12nNjeQMCNK/Dp3c9x0+hjUlvD8BV+vvtV3mxN0CmFaLp6kB7NrjBndvOuwesstDM8u7kfUfARFZ+ZfBeRsEmtrIPsIfWYhEIWtiOxsZVE2tIQVB834rG+kOWqZuB4Isf2LTAcLnOyMU7dCfHLB15jQgsqxsudYbY6cbaaUa7q/eyJ5nkodpNyNEpEtljJJVkup1jKp1lYz/L7d32Na50BFuUMb9T30K9V2a+vMSJXSIsuDTfE9wpTTO1e5c7UIu+JX+JsZ4T/I/8oH86c5sXGAUp2hF/tegVFgHUnRKEWZT2SINTbJKV3WO6k2Rvd4M5Ek2+vH+Rwd7Ca0vI07ogs8L3yITTRpuRG2XSSAIgEAvqyE6Xh6gyoJc63RklIHbqVGgkpsPgstjOEoyYtU8J0ZURbQFuW6UyYuHWRf3X5xxkcKVIwo7wy/SB+RyZ+U0ZLwMnvH2TxgTS5SJOSnWFmq4tD/Ws4ER/RCua6ngRqzMJyRIbH8ixvpJE8EFyBp3NX+C4HuXV+mP9kPkE02eGf7nmLG/VeFMHBQ+BkfpSp3qBaeXZzEl/xERxwkw7L1STN1Th+xOFX73yJ87lB2tUQvi9g+DJ/VbqXHq1GzQnvzCd3KXkyUpNX2xOMRIOdx4VCP4ILXr/BTx44x/eWJslXo/iCj1XW+V5jiuN7F5gRu7grubC9MiPxmVtP4PsCiZCB40lsWSFmbY27swuEJBsPgaId5ZnF/WiKjSx7vLy6hxN9Szx/8QCDI0U+nDqD7Yu8NzrHV+r76VMq/PX6vTzWdZOjoUUubg5weaufvn0VZs1ujoSXEAWPshPFFQJD1VCswnQ5h+eLPJ27wkwnwEZuOgkScpt5q4tPDp1EBHRBQEJAERw23TiDchWLoIVtCAp/svYwjifyWyPfCiQZnkbVDRPbbseuOylGlCKGr2AhsUff5EJzmJTS5iNT5/B8kdL22lFru52dlNqkJYOSF6HgBEStkUiZfq1Cww1RdKIMqaUAQyi1eLm2n5BkExYt0nITVQhIdPNmsPI3rBWJiCZrdopBpcSnH/oef7z8XrKXXeTtWWpq2uF7f/wAJz88xlisSBSTy+1h1s0kT2cuM2/mWLNTHAytcL41QliyQISLzWHGw1vbXQyfsGwxoW/w1LDMa1vjGLZMWmkFYAtXZldsgyUynG8M8+7xa6TkNp9tPUziFrgaxFY9rEhQiVvJIGCID4IAcht4I8Ezd+xnqLtMqRXmw2MX2GrHiccLDIYq5NQGbU8lKpnUHZ2k1iGhdCgYUWb17mC9RmlRaEQYzZR5Kb+XQ31rTBdzbLbi3BB7kUSPaaOPnxt8g3kzx6qZIqO3OBBZ4+XyXg4k1gmLFmHJpOaESUrtbZuPyDvjV/n70p3IossedXOHBz2mFuiWg1DhLTuLLtiMKEXuy80x386yaqVxCd6fS1YW8QfJeK3NlVo/4bTFtVYfBSPKocQa806WhqkhKy6a4jCaLHNto5d4okapE0ZWXDxPYG0xCyIMxcps1YYJaRaJlMXqD3km/chXuoIAyD5CxkTMWFDU+M6FwwD4YRdFcHZcjYrg8Kebj3C5PsCx/Qtcrg7QdDUajs5PJc+QkAKW6wO5WSKKhYeAUdWpbsTJjZbQEyai5NFcSGAuR6Gm4Mk+Xsgl3NWie7jMai2B5Ug77YgNI8GL5yd5oRjMlwpOnD+7dR+3C118YPgy+U6MqhPGRuKFyiRdaoPbyz2Ios/hwVU+OHWBm0Yfi50Mn5l5gu/cnuJQaIkROQibbLkK94Tm+dcDz3IkucKXpo/zy9Mf4XdOPs3FYj8/+/ZP8Rfn7udodAlNgJOdQW5b3dw3PE/T1vjkxGkqRojX58f55uohvjh/nNF4iahs7fg2Z8xu7k3MBGhAICM1SUotrhmDGNu+yoans2UnkfDYH1oL9pcR6VVr3Cx2E1JtsAUubfTTf2yd3U/M8b6pi6iTNfwLCf7l2AscSy7zy8deRYzY+DLc864ruLpPw9SYzWfxNR93Ncz5xSHckIcT9fEU8GUfZyOMUpVYP98LDQVtdx1fhD+49A7qpo7UFtCXNCKaxRuVccpGmO8XprhUGyCqWEwXc7Q9lfVKAk/3cJMOqVyDxmYMXAEckT+58iB39i+DK/ChkfN4vshCK8MXZ+/kzsgcv3/7cf7Dhaf5+Omf4a/X7wXg3sQMbyyO4YY93AdrHBpa5e7oDBHNwq7oiFbwERU6EucujZONtkjLQZrY8BTG00X+7b5neLL3Oqemd7HejLNRjbNlxtkT2WJ/dJ2s0iSsWTiuxEODs6QjbWq2Tt9wia1qLJgvixYSAlN6oGJ7OneFo6FF/nj9UX5i1wWy0RZfyx9D3NarvVTdj4tIwwuSqNcLPXRFmtvVcIOM0uKwHmBUF40sVxv9DColap7EqiNT9gJpeFJsbzt0LWJih4IT5+rsAFHF3GHrltwoZTfCgdDqDkyj5auMKEW+VTnKspVhf3idv799lF61utOWHlPzJKU2r5QmiIsG606MfqkWgO29MF1qg7wVp+xESEgdFMFBwqPhhjgRm+NceYjXi+Ocqo9zthNo8Ya1IrpoM2sEe7M9crCiJQo+H/7oyzQHgjpG8AgUgKsOnT/t4+WXD3M8usCD0ZuMhQpMG71IgsetTh8Ae0LBil7RjpE3g1XDuXaW1XaSyegGZ5ujAHx48Dyq7PLiygRDWon+UJWs3GA8nN+5nix0srz7/nNUDrsIPmhVB8GHRr+EaANC8MsXg78KLsRPh1g934frinxl7hhNW+XM1jD9WpUJfYN9+jpZpUFICnaJQ5JNVDG51uhjsZnmSyfvpl0Kc2u9G1VyGQxVmMqt4/oC59cGOda9yunqKFU3zFy7CxGfwXAl6P7odap2GNOXmW13M9POcbPTxyVzEM8X6ZJaTIS3tm+CTGJiAOB5tjIVtPi9MPNmN4rgcskYYrmTZjhcZrmTpuaGmDOCG6UL9SGeyU/y+0tPUDVCnC6P8vbGMCv1FN9dOYDpyKRDbRTFQZY88u0YZinEsw/+N848/hlcV6TT0IjkgizCG9cmSEbb5KJNwur/Yxna+bKaKoIt4LVlvKqKL/mEM21UyWVkJM/z1SlO1XbR9gKf4mI9jbUdALA8iYIR5Re7XwYgIbWJyQYL7Qy9oRoiPiMjeRB9XE/EXopgr0V2qDC+6tOzP8/E7nUGU1Ue6b3NQwOz7M3k8TyBl1f34PgiQtjl1kaOf3H5Q/z7y++l09DplELEJIMHsrN0q3XW7DRptUVWaRKKGfzi3tdRRZfXNsb53LW7ePXmHrbWkyiqw9fLx1GEABTfJztIgk+31OFYeIHuRIPiG72EFlU2V9N4nkgy02RQKfG1xgEutof5xtYxrhT7SGodVow0T/Td5IGxWdY3UgwkajyeusajiRuUtqkstifj+iIFJ86mk0QRHBbM3A5OE2BMLRCTOtwZnafu6uiizYX6MGdqo8R0k+JqEj0vw6U4pVaYyzeH+datQ6TCHZypJt8rH2JALfOlhTvQQjadbp97ErM4cQ/zxS64FUUwBbSSiHo7FPhqK8FdvdwSUeoC4lgT0RJQSxLtjSihPVVGukusLGax4z5W3KMnEiAEO7bCtcU+2o5Ky1bxga/NHsa2JcJdLY5NLFLZipPuryK3BMSmhF3TgnnpcJG/vhVYokTBZzRV5uX6fkqlKHZDxamqRBWTtNpm1UrzK1OvcWj/Eg8NznIoscbl9jCHM2vggy/52+8nHyFpsXRmgN+//g4umQN4iOyLbXKmsYv7ItPoMZOwYuPYEi9NT/DMxiQAri8yldngn+55E4CJRB7Hk/i5kTd5x9g0n7r1E6y7YTZddkAT+/U1/mTjEXr0Oorgsnitj81WnKzSICG3mQhv7VSz45EC3bEGU8l1xrTg4l9zQ3RLTT6SOcPVah8DepWGF6LkhVhzExTcEBYSadHARWDRzmL7Mtc6A/za3c/xL/uep+EFcI896iZpqYWIt6OA65dq6IJLj1bD9iTON0b4Z/tfRxfsAKIgWrQ9jZjY4emuK7gIXOiMsOYmeCx2bSc5fyyyyIS+QVauE9+e1aalJrYvkws12GrECEkWC52uHVbxgFqiW6nRJdUZUYrMWTmars6QWmTPJ2/RGJSDA80PmMhq3WXgVYffvx3YbwbUEqYn8521qQAdKVcJbwP/FcElJptc2Q40delNDoRWGNFLKKKL4cvc1z3PXX2L/NGNh5ludHOr00vZiVCzQ2x1YpiexP2x2/zKfS9iZD08JQB47CCtg3tlfAFCRQ+t5oMHqZugvpKgtRynUI1yd88C31g9TNUNU/dCKILLLr1Ar1rjVq0bSfCJSBZ1UyfS02JsbIv7x+Yod8IUrShptc193fNM9mwwoFfIai2+uXkY05NJKm2eXdpHj1zleHSB8fDWTrAMIKs02LITuAjM21kSUptH4jdYsTNERJO4aPBU+jI2EitWhuOheSKCtcPtvlrto1evYXoKF8qD/NXtu3l7JQAY9YZrdGyZtNaiYyo0OxqS6DG/lWW+kEEAOpZCraMjuMLOY/IcET1qYXRUpJgNjkCxEmO5nGKzmPihz6T/nw7dz3zmMwiCwKc+9amd7xmGwS/90i+RyWSIRqN84AMfYGtr63/4c8vLyzz11FOEw2FyuRy//uu/juM4/8PPvPrqqxw9ehRN0xgfH+dzn/vc/9JjPLx7ObhgWSK+6qHkOnieyI3VXgxH5kh0iY91naRLamEh8ZGhs6TUDk1bI6l2SKgGr7X2csnsY8tOoIkOeyPBXddEfAtNchAskfLt9E40309bjE6ukx2o4nois+eHaFgaG2YCUfC5VcrhOCKJkIHhKqhhC7ujEA8b9CTr3DG+yJNHr1J0olScAPNXc0Ok5DYnK2Mc61vhi0t3cur2GEm9g2eLCKKPoHjc2b/MhcIAi3aSiOBw1sxw1hjic9UT9MtVjmeXMLo8On0OUlVG02yGkxWer09xrjbCscgCE/Et7u2d512ZK9wRXaBgxbha6qUrV6c3VOOm0YfhK/TINRJSh4TcJiM32bCTVJwI81aO76xN0fZUXqvu5T9feSefuf0EfXIFa/tDcaq1G1l0Of/8fiov9RJekrESHlbCp7kcR0mYSLLLykqG/b1beL7A6fouymtJ7h5Y5MR9N3mmeABfDGZXelHA0z08OaCQDfaV8RQfJ+niy8HPWG0VO+FhdjuISYv2XIL5K/0oJZmjR2dRBlq0HJUr632kQ23uHF+kaQUIx05bo12I4LaC1+nKWh8IPtW5NHbGwVcDyPpqLYHnC/i+wHS7m5v5bq5cGuW5+X1E4gZiyGFqcpnxSIGQZLFipHiusB8PgR6txrPr+/iH5UO8trorSFr7QRtczRgImxqCD+1aiP9w4WleqE0yqhVYM5J8oXgv0ZCJ7Yn0Z6vE4h02KnG+MHOC769P0nEVKk6EuqMh4iOLLktmlj6tylC8wr+d+QD/desdfL96kKTU5j8vP8lcJai0/uzcA8i9bYZilR16lCK4/NGRr/Dp/c/y44lz9IbrnCsNMW300vB0fip1ij5Z4JIxxN5EgHwclMtIeMS2D9oZs4clJ8UlY4CbRh8XOiOBsEFbQ9lu54ZFk7wbo1+poAs2EdHkrtACouCz4iRRBBdNdHh1bjfdSlDl2tvaHUVwmTb7+NzyPTxfn6Lmhpg3u3dcveP65s6sNim1WbSyWL7EjNVDwYkxFKrw8V1vY3oyVSs4dG52+tiyk8FNumjS8P6RuRsRLfpDVSZ+6hbNXhlfFnZYyILn4z2bpW2o5KQGKaWFJjssGtntP2sSFi22zDii4HNXbJaM0sLxRS63h1m1UmiCw6nyGKLgcyCyjqY43NrIsdpOcnd0FsNReLjrNsfjSxScGPOdLhITZQoHFXwp+FzgsxOq0ss+riLg6CB3fGTTJ7bq0P+qj13T+M7Vg+TCDb5fnMLzBVTBIS03KdpRcqEGWbXJ3ugG1XaIkGqTUDvcrnahyQ67wgU2jThrnSSy6HG+OrSz198fqtJxFSayeV5r7iMimuStODUnzIHIKlPRNWpOGFHwuGoM8nIt+JmM1GSvukWXXEcXbEQCuQbAop1lxgq6h09nLjOVXKfpanx3Nahgh1IV7h+epzvU4OLmAPsyec4sj9CfruH74HoiTk0lFjYxTAVNsWnUQviiz+iXfy94DUWfTKyFV1XxbBGpLaKoDvGwQTze+aHPpP/lQ/fs2bP8+Z//OQcPHvwfvv8v/sW/4Dvf+Q5f/epXee2111hfX+f973//zj93XZennnoKy7I4efIkn//85/nc5z7Hb/zGb+z8zMLCAk899RQPP/wwly5d4lOf+hQ/+7M/y3PPPfc//Tjrlk5koIGYNtE2ZKyKTibWCtYyFjN8deMYEcFCETy6xDZ7tXUG9Arv7rlC2Qwj4vO99Smer04G3kgrQkwyWG0nuVzpZ/biIMRtvLCHPtwgvbdEJt1kfilH+XaatqXQPbXF5o0cLUflmdn9RDWLnlQD05WYLWTJxlt05erck1tgX3KLxzI3GdZL1JyA1HOz2cPtVg+rZoqwbNG0NTbXU4wP5RmPFUmmWugRi4GeCq/PjtMXrfF3xRMU3ECRdqYxxp2ROU62dxOVTA4fmeMn7z7FHfdM8+DQHCPREgUryt7oJudbozwQu8X+8Dp71C3mzG5eXNhDX7TOJ0ZPczC6ypBaYsnMctPo49tbh3bazL1KlYar82Z5nM1yHMNTmG9kODG0SHEzzq9f+3EMT6HtaXxt6QgvnD6IkXMw0kH4RGkIqHWB0KZEf7aKbcrIZYXpfI5zm4PUbB0xajNXzzJXy3Dx/DhSW8SOQm2/Q7K/zqHHb9H36AofHXyb3fcvMjhaIHqwhNVvI0gefspieCyPojoITnBFdCI+52dG8DwBRXR5/+7LPJKbpu2oJPUA4RgKmyR763T3V9if2sJfiiC0ZJK7yjx59Cq+4CNtaTSvpemL1pjqXadh67xjZJqffvhVzLZCsxghl62zL75Jr1rlSqWfLrVJx1GYLWTRRJvucJO2qQTtdiA1WqF3VwHXFfH0bamC5jLeU+BEbI6yE8XxAkvQ4a41UnqHWkenXgljGzKPDt3mY0NnSKttDE/hcGyV5XaKthMwvgfUEseTiwxEq3i+wEfTp/ndC++iP1wlHWpz6fIYmBIj2TIX1gJoyWv1vXTJ9Z3P2N9Xj3N6ZYSuUJO/mbmTL62doOBG2HI93h0NqGUtT0MRApi9isuLjQPYvrTTon1n7GoQOIovcMkY4nRnFxNKUM3mpAYlN7oz3/0Btcr1RZquznSzm18/8jyeL6KLFl1SnZanIQkeG1aCvkiNvBlDExym9BUKTpxFK8C+2khYvoztywwqZRpekOXoUyrEJINFI4PjS2x1Ynx14xijWmGbyGTuzIsjokWfUsFF4KH4TXr1GvoHt6iMK/iSgC8KGGmZ1IxF/18ofKV0gteKe3g0F7CHr5sDvN3axdHwIvcnpjkcW8ZDZDK8xu5wHknwGNJK9KkVDFfhza0g1DaRzTPeXeTi4iBrdopiJ8K6maTmhviHjSNoos3Hx95Gv6eIkREIFX9Q4rKDjPyBFtCJCHTSIr4gIHg+fS+KKFsqt4uBnKTh6ZSdYLd4T2iT4/ElhrQyN5p9iKKH44qUjQi67ARGKMFlPFIgrhjcmVhkXzxon8dVg6odol+rktUCIcKKlWGXnmdIKwU0OgTeLO6iaMcoO1Huic3iInLJGGZzm/hV9cIUnDiGL7NfX2XezAWQFSMdKCUdjVdWdlOqRjEdmc1GjMVmmlevTeA4Egv1NK4jYTrBE1AqRxFCLqVSFKuic/Gp30WQAqWnsKFz5Hv/LtjvXcqAIyBIHvQadKo6W2spHO+HP0r/l4JUzWaTn/zJn+Qv/uIv+J3f+Z2d79dqNT772c/y5S9/mUceeQSAv/7rv2bfvn2cPn2au+66i+eff54bN27w4osv0t3dzeHDh/nt3/5tPv3pT/Nbv/VbqKrKn/3ZnzE6Osof/MEfALBv3z7efPNN/vAP/5DHH3/8/+NjMk0T0zR3/r5eDy4KG7U4Tj7O3mNLXG8MIFcDJqye6fCusetcqgzwRnsPE9oGuhC4PBXB5UwtmKHEFIOBaJWKFQjmXU9kV7gAwFYjRvdknpTeYamSYl/XFofjq1yqD1C7lmH4+Cq/MPga81YXX/eOcGFpCNZ1dg/PI4su70xex/YlfvfGk4RUm+u1XgYjVV4u7wXg/V3n+fQrH+Kxwzd4a2WU3mSdrlCThUoGoSMxf7Wfefp54K7rPJ66hiK4vJTeT96IYvsiZztjgRfVjPGlrbu5OznPYidDSu0woJa5OzrDZ9fv3zaHSLRdlWP/b+7+O0qS/DzPRJ/wEel9ZnnX3dXVvmfaTI8DBpgZYDAAaEGKogdlKJEUJYoiryTupUjRyJCCRCOJohGNQIAgDGFmYMZj/PRMe1/eZ2Wlt+Fj/4hiU1ztrsCzV/ecZZyTp7uzokxXRsb3+33f+z5vdDmk8ogDzg+meXr9MCdGNvlQ7jJjSo2r5hgjSoPWHoLvPbnbmIFCzY3xX1fvZ39ql46tM1MMQwuq3SjrV4bQWyLiBZV/0fowghhwcnKdup8BH5KLIA98WtMinh4gd4UwRnFVY+bBVXZ7MfwALqyO877ZmwDcaJQ4enKZotFmqZPjbHYlzCy24viBwLO1ORqmQa0dpZDssn92iQtrY5waX0OTXGYSVfwxgZ1BnFvXx8AVuG9ihaVWDsuXudMr8p2l87zZmeZaf5ifPPMMr7T28/raJBecUQIpYObIJgt3hvhqK4rUFxF8QIT5Wp6fO/QF/rhyHxv9FHfcAsq6huDD33voJTq+QdWJE1UsvroxR7MdQRB9HF8mItvMFXa4sjGCpLtkIgPWqmkSsQGNphrGKu5qqKMeq3aOd1oT6JLLmqmzQgbHk/B8EUEKCEyJlmOwKIQB4XUnnIvOxneY7xRY6WcZeAolrcWQ3uJCfYz/Jt2P25e53SzSGujEx9rEdItyJ45VD9W1X7h9jLOnFvm9Ow+wbOXpehH+5PRvowsezWGVzzRPc8cucdUcY9HMc19skaPaNikRmn44cjgXnScl9Sm7YVvODBQUPB4wFpl3Qo9vfw+qrwguB9VtMqLNjmcQEQJWPY1dNwHAaidNKxn+TotKi6P6Ov1Ao73np93uJ1hZy/Oid5D4AyYT6u5dv6sieIwrNdp+mIKkBC5DSjhr1HWHbTtJXDJJqgPcQMIMFOatIsNKEzNQiGKRknpcNceAMJnshc393De0yo0nfTqfGSK+4aI1PXxJQOm73PqXRzn8/73CqchSGBkXSOzaccyIwkvNgzyUusOny/fyg8OvMqFV2bAzbFppFNFjrRES6766c4jRaJMHCoss7Wb5tauP8JHZiyTlPje6w8TVMLhFETzePbzA4JvWeOUT9+zNmsN7pKeDGxGI7PgMcgKyGezFdgqIHpTe8BjcSfD2YzJnji2zbma40B7nnsQaX905hBuEhSYTGeD6IuPxOqN6E8uXWegXyKg9mrbBdW8YUQgYMxqs9jO4vsS2ncQQbXJKh9v9EmN6naudERZbWR4fvkXHCq11z1VmuaCN8cH8lT2CYJZlK8+4WsMMFP7t+hOcyywxrVXo+RplM8FLzDIX3eIrvUMkEz0arSgIAdPpGmrcDil9QCRqkjH6bK5lQQAlZuNvGkhjIfwmER/Q8gWwVeq7CeSWjJvwkIt9hjNt1u4UEZM2Q/kW6zf+FxOpfuRHfoQnn3ySRx999C89/8477+A4zl96/uDBg4yPj/P6668D8Prrr3P06FGKxb/wNb3vfe+j3W5z/fr1u+f8H7/2+973vrtf4//s+OVf/mWSyeTdx9hY+CbYn9tFGDK5vVXkgaPzjN8bEpf+7qGX8RDp2SotN8I7/SkuDia5aQ6zPMhxNL7Jh0pXmNSrHIpto4oeJ9IbTCVq+AhcWB6nWYuxXU5z+61JemsJvrNwnkPGJm9f3IfgwsJCiXd6kyE9Jr9BLt0hUIKQg7u6j2uDUeLSAEN1aLSirDdSNGyDCy/NcqeW5+eufpDpmR1eWNyPuxBn5dowhuTQ3Ewg9UXUpohoCry8uI9fuvl+rgzGmItsc7ta4J7EGq82Z9i2kySVAWORBh97+70st7OsdDO0vAhRwWZ/fJcdK8HJ2CrdvWg0gFU7xx+vneJ0cY33ZG7R8XTe7M+gCw6v9/YxoVb53Rv3M61VuNwJf9fnCsts9ZI8UbpG3ujy1Y05eltx/LyNGw0YFEFZ19BuG9z+/AF83UfqilhJgfakiDnikD65i3W0z1i0yUc+FM4gHxhaYizRAiHA8mQu14ZpmxqL9SzP3jnI/sQuf3zpDJ/78jne+sJROpbGO/OTNF4pYZcjlC+WuPqlg6iXolzbLdFxwuQly5PRJQdiLrP7tjAkh7n0Ds+uz3K7WWDBLHKnXWBiuMYLjYNcqw5hDxSaO3GKRyqktT758QZBQ8WYaeMOW7glm2Y5zleax0gqA965McXiqxMoh9o89L4rXB+M8uXKET5+8xTbvQT1RpQgCAv+ny6f5K3XZ2lYER6ZucP9U0tsNRPYLQ3XFzl+eBV1pk1iqsnl+TH+661zvLU4yfn1ccYTDabjVda2MyQNE0n2URIWG70UX1w4wkY/RVEN7Sma6LJQy9F3FZZ7IdrzaHSDkWiLshnHSJmsLhR4fPwWni/SMTWenLjOt585z0Ftm9+97/c5rW2y4yS52hrmrcoEY1K4i9IFD9cPgQMeAgeNbe7RN4gLAU0fIkKAQoAk/MV8tiB173phRQLsQOKUViYlwrDssl8ZMCzZFCWVojSgvkeSy8tt/ujmGZ4YvkHf06g4IfTCDBSmlVDwtG0mWb8yhLKroNRl/njtFD7iXcCEinfXYiTiowreXX6wJPik5T4R0WbYaPOe3C0utCdQBI9lK793rkLNi9Fwo7zWmOG1/n4KsS7Hous8OXwV631t+nn57jxVCEDpuLz6x/ew4uS5bo3yZ9sneDhxm3mryP3JBTbsDJYnYwYKH98KOcnjWhiGMZRs4wcCbVujYRu82pxhOl/D7qg0nQirgxyXdkaYitYYeCpfrhzh5fIMKblP4vEyvgpKN0AyQ3W/aIGVDHfBWjvUD5hp8W5b3Kh5lD6p8evPvJ+up3F5Z5g3mlO4gYgs+BSNDqdzqxzObGN6Ctfaw1xpjtBydJZ7WZq2wa4VY72XYrGbp++qDDyF660hDMmh6oQz84odx5AcjmTKtFyD0XiTiGRzNL1FUjF5vnGQa70Rnm8cJCkNqO4BTq5tDiEKPktWgU9uneb8nSkWOnl+686DeLZIoxbHaymoqkvfVSmmOjwwvszAVvC8cMwodiWQfYLVCMKwiSAETPzBvyIX64EvII70wRbxCjZK0sLbirB2q0ig+EibOptLOdD/Qr/yPzv+ykX3k5/8JBcuXOCXf/mX/4ePlctlVFUllUr9peeLxSLlcvnuOf99wf3zj//5x/7vzmm32wwG/+e983/6T/8prVbr7mN9fR2AO7t5gk2DADA9mZVrwzRuZnm7NckXXr2X3Ts5Pv7GOf7o4n385zffxe9fPYflS6wOcmECilrleGSVs8llxvQ6ZxNLfGH9KEFXDn2fDQXBDWckP/XWt/GPXvgulLaInfMojdfZsRIUlDZRycJQHPy4S17tkE90udkt8dub76JxLYewElocIrKNk3dprqTIx3t0LA3PlMEPxTQiAUpbws3buHoAIgibOrLo84evP8ALtQN83/43ebE6y43dIi3H4EJljJzSYXyozv35Jd5fuk7FjvNCdw7Ll5FFj9da+3irMsGuG+fNzgzPV2Y5kinTddW7c6eIaLNs5bneHkIXbay2xv927cMcjJZZs7Ocji1xb2YtnLcIPjHNYmhml2K+FWb5ymFAvNomfPM3JGbOrFF4/waDSRsx4nJPfoP7JlfY7CfZNpPcWi/xhWvHuLo+jN/QOBzbovVCCev1LP5bKdQFA8eXSL6tEVsHyQRddomlw9Wq0hKROyEcwD7RI3gtzeXX9vPUtSOcTK5RMjqcmF4jo/VxfYmXlvbR2UjQ6Bmcb0yQ03vsdmJc2BqltpSGQCCa67O1kuPtxQl0Odw2GKqDEbX452efAhGWOlkUwefeQ8t4RkB/Pc5LyzN0XJ35nTzursHOQg7fFSllW1zeGcG0FbykR9vU6Tg6pqcwmmpxdHYd82aKlq2TjfVJRQYQCAyqEYK+jN1VWWuneXtnjInhGtu1JEPZFoeGdni0cIsHxpeRRZ+aE/KM366PY5kKaXWALPpc7YxgBzLHE+tMROoEgYAQCNTtKLlYj2y0z32xhbv4yzGpS1FSmdM3mYrWaFzMU/ag7un0fYV3JW6x4yRZMXNMqlW23DiSIND3ZVbdCK+ZE3vUK4+S3EER/NCLGyjs+mGy1CuDMTp+cPcGpQsiVd9GEiAluiRFiyuDcSZzdb4lcZFz0XkOGtvUvShf7x5kyQmpVTuDONJoH8kUCICd+RxvdadDv2yg4SGEbUpfQRXCAqwLNk4gY/oqu3acmhNlwqgSF00OxrbJSF3G1SqK4LLuZLnUCwU6p1Mr+IFIShvwH+88zB8vnuZQoYzzLQ08TSSQBFxDwldFstdtfvnFD7JoFniydBUPkVltm2UrT0FpM3AUVq0cEdnmqfIRnEBmSGnyaOEW+7O7TCQatGyDY/FNUuqAfVM7PH3jMBv9FL2BypXGCIZks9ZM8f1Tb7BthR2F6LsrDHJhRfV0kM0ArRmErWYxDEjABzMlhn8Xwnvb2DMeX3/qJNlon7cXJxCFgDu3h1luZ7jeGmKlk0UVPSxXxvVFbE/GDwQezC4yGmlSMDq07PA+FZVtHswuMvAUdqwERyPraKJLQh5g+RIXqmOYnsIb1SmqVgxZ9FAEn5VelqYd4WuVOY4Y62xaae4ZX6dsJfmz9WM898i/w0iYPJq/RRAIHBjfQawpSCkby1TYbicoN+KcL48hSz6OIzGab3Dy9ALFYgsv6pOI95Fln1SmR17vQk8mHjVB8aEnEwQCoisg90QEwwtTySwRrD9Xqf3Pj79Se3l9fZ0f//Ef55lnnkHXv/HQ3v9/HJqmoWn/o0HZ3oiROVqjvpPgnWvTEHdRKgqvXt0PUQ8tYaGrDp2ugddXEGM2a50Mq4sFHn/0KhU3wW/cfhe64pIx+jxeuEmzYyBEXYKuRJCxcQZ7NoGaBobHex+/yOOpa5SdJGag8Ou33o05UPEckemJChebY5Si4Yr1gewCV0eG8Xsy3nqcfkHl6IF17uzkWV0qMDa1i2I4CJ5CEHOZb+VD9WEg4KvBXXWdJAYItsBUtMZRfYPZ4W3KhRR/snmKE/lNXqoe4N7sGoro0XCieHur/efX9zPoa+HCRAl4ObqfgatwT2YdRfAYeAoRyea/rZ3lVH6N/cYOn1w7RTmX4snjV/ny7UMkpT7novP8QeVBWo7OJy6eQRhICEkbdjX8qMePPf41FgYFXtmcohjv8J7CbV6u7UMWfExXIZXv0l5MUZ+OcH5pAmlDZ35igHFTx04H6LsCViZgn1ZG7odFW20G9MYErtaGCASQ3FChub6aY3p6hy05BYDSh8jjO5TLKeKtAH0Xuj2NyFmbCb3GgUiZbTvFk8lLvLU9jmMoRPXwhlVVo/S7GnrEJtB8jJiF40gIlogQDSg34gQxl/FEgwcnF9h2UiTyXeY3Cwztb3NxdQylJ6A1BAb9KOJMaF+SB3uv367KdqOAMtrDdWQEU6S6maTT18gmeqT1ARHZRnRgJNpisZVlfTUXfn9XIFADAl+kWosjyj62KzOSa/J46SZvNSa53h0iJtu0HJ0X1vfjuhKi6OO5IivdDLLgcyy9yYqZIyZZdD2N/YVdrptDuIGIJrnsT+xydM9+kxAsWr5CJ/C5Mhjnzd1Jzr7nOjfsErfNIVbNDI8kb3G7X2S9l+Z7Mx08BDp+wBVrhBm1QlS09mxkod8SwccJZC70JzkVWUIVPG6aw6GKWtukH2hEBIuC1MVDICK43LBL/O7rD/Fz7/ocm24CXXRCcZWZ4Z7YKit2jq9V5ug7Cg9PLvLS4jG8uE8QcbnTLTCjV5hRQ6V1Xm5TdlOYgYKIT1buogguiiDxenmCb5m4wphSp+wmiYthtnDLi7DjJhlTwrSsnNxlxwnb3UllQL+nEwTwrv138AOBK6fSFC74CL6I4AV4hkj6ssT1uSFyuTANShJ8rrRGaEYiPFxcYJ9epuLEmYjU6fsqOdmiqLSo9OO8f+gGetJh00pxKrlKMtPn8/IJrq4N87+dfooFs8hz2wcYTbZCl8DGBOOZBgvlPPd8821u/+kskh2gdkNGcyCFoq9AALUX4Mt7ADcxfF7wITXvYy6UEO+B0dkmzMKJ9AaK4LFrx9kXqfCmO0kU6LsqOvB2c5yZWDUEacRrbPRSiIJP2U4w8FQMyabqJrjUHCWndylqHeyYzHSkyqdvnWRmXxWRgJoTRSSgbkaIqSHVruZEWWxk6bsqcS0cLT4wtsxvf/r9jD8UUsvE4QGpRJ/drRQ9ScPpqCiKR60bQ9MdNnbTrNpZMrkOcn5AfTuJFHUpFmsstzMQd7BdGSXi4AC6YdNNKuAJRKIWzuZeFnn3Gy+6f6Wd7jvvvEOlUuGee+5BlmVkWeall17i137t15BlmWKxiG3bNJvNv/R5Ozs7lEolAEql0v+gZv7zf//PzkkkEhjGN55bCCA6As1WFAIBwREQO3Io2qnLfPvJd/gPJz9JZyGF31AREw6ZRJ+YaiEORH7q4rdxQC1jXU/RuJbjeDpM/vnbR15luNjETbsU8m0QAvTsgG958C3unVvm+7KvkhL7e3m5AeZARVw2UA2HzXqSK9cm+btDL7LVTfKu6C38rgK+wOGTK1xYnGC1kcZfjCFEXDZuFYlFTdxYAK5Iz1Zw0h5iU0Z0BbykCyPh7n/q0Dafv3Wcq+YoL7UP8ger97G6k8UPBJqmwcBXGVdr3GgPsTVIstjPY11N4bZVfN1n6GAF25P4yPA7PL95AEnw+crKHG/Up9g9X+Tpr53mdr/EkdEtfvGtD3BPIT6wAAEAAElEQVSxNsI3z13mfHuK/1J+N6IQcCK5wd8+9TL6tsRIvkliuokYcSkqLe6LL/DBieshSN1XSSgm31p8h7XbRew3MwhFi4/k30ZZMhBnugirBm40QO4LuAZEDzX4yXe+PbTQCH8hAplO1hgUA3ojAubJPpEVha1GEvywnefLoEkeyrZK62ET6SO7PPbh84wpNR6JhTSiiGgzb5WYydSYHN/lw2NX6XV1DMVBMxwOFnaIFXpM52oEvkAQdynlW3iuxNkDy5xOrdL3NF6oHKCzmkSoaOTULtK6jpX38BWQe0KYKWuHXGe5J/DnLgmroRNUNNSGSGRVwWprbK1myetd+q6Ku2/AW2vj7MznEAYSUtbCN3xEUwhX2sCpiTUGfY2ZRJUb3SFWm2kAJvQam90kI8kWtilz38gqQVdmKNJmNNokKQ8oqG2G1QaPp65zb2qNyaEalyvD9ByVqh1FEcAPRD7fPskdp4AfCFxqjXIiu8n9ycUwlUV02R4k+WrjCKvdDKrocd0axgkkrtsF3ujs4xO1c4zJda6aY+hC2CVo+jo3zBFm9W3G5BYZqcucHsJIRuQ2JamFj4gZyHdTYWpejMnpCj5imFrkhSr/BxN3UASPYaXBweQOO/UELy7ux0l57D+4yfHpDVTR45Nbp3mttx+JIAxUkBuYgYKPiLMnrHqnP8U9hU2mtF2u7aXcRESLvNxBETxWB6Ha2UNkxczyenWKC429eEI5bDe+UJvlXZl5Hn3sIr2ihK8KoapZFDDqAdXfDtvV9T2B0HSsSkrp4yGSEvtM6lUKaofO3nz6QneCei/Cqpmh7kbJKj2+Vpmj5UWYS5TxewqvtvYzrtVCgI8QkNO6/OPDz5JQTd6//ybLzSyD+3p4ahiMAH/OZg6vxUAI576BJGAmRbpDEp4azny1tk/hLTi/NY4muXvADIO82uFye5SkapJUTSKyje1LpNUBi90cLVtnsZ1jONrC9mXWehnWumlKahvTV3g0f4uD0Z0QAak32baSPDC1hLy38O+7Ki1bJ6P3kUWfT2yf4fWtSSQxYF98F1EI+OZX/j6WL3H8sVuUO/EwhtWUqd/M8gsPfxZ/yyCW72FbCmOFBlHdZqpUZWKkhu3KCEIYkJOI97FcmbQ+IPAEutsx8ukOku5h3UwiN2Ui6zLBhSRyL1yU2NlvvL38V9rpvve97+Xq1at/6bkf/MEf5ODBg/z0T/80Y2NjKIrCc889x7d927cBcPv2bdbW1jh37hwA586d4xd/8RepVCoUCqFp+ZlnniGRSHDo0KG75zz99NN/6fs888wzd7/GX+UIRIjHTLrVJKIt4Bl+2OaJ+NzuFHlv4sbdm+DZexdp2wZX14YRAnA2ovwd/3tAAjfpkZFD1uet7hBRxeafPvgU84Mi7z1wAzNQGJYb1JOxu0B301fIy23+wfEX+Hft9zGXr3Hz5ihKxgyDuBN1XuodRPAEzpyY58LaGPqiRvLBOsFck+56AiGAbl8LQ9u7EpajoDRDk7sbCULSFpAx+ixs5RGlgJeqB1hrpuh1dNjVeME7gCAETCer/NrtR+jfSeFmHUTNw895CBGXiaEaeaPLdxbOc9Mc5nRxjbKVoN8yGBptcz3nIcYdvvK1U/zYNz3Nje0iW0s5vnCliGiHO8/DZ5fouSoPp+8QO7fLRjmNpPh8aO4qr7b3IwseZTNB19H4nonXOGakOaFtkZuu09vKI6zr/GTrbyDODPjQzE2+ev0MgguyCb1RH2+g8t1zb/MnV9+NZwRozZCoI4se0kDAzvhoVyNINjgLMdysj2gL+HKAIARIpoDTk+lHFSb1GlmpC8CYUqfqxFmzwyK3O4jyhzfOMJRrMRJtsbJcwMwp9Lsa83aeQ8NlTE+maRok4gMMyeGl6n5urgwhVVWkPUvG7U4xnOUJ4OpgZ3xeWZ/mWx97nVd3ptmqpKCtENmQ6I37+HqoAnUNkJoyft7m5aUZ9pV2OTOxyhuLU+w/vMlGM8mgo5MbbVJvRhHKGpG4yZ1aniCAlW6GpDogqtm0bQPTV5hJ1rhaGULVXcaNOqePLdJ1NMYTdW51Syw0c/zw9NfxEJjQqojCDIdyO/RdhQdSiyy5MX5x5UnOZldIiCbP9+b2MlJlvlY9hB+InMssUdQ7DDyFpmlwprCKJATogosZKDyZvsRtcxiJgIPaFm8Mpqm7Mcp2guPRdWaUXXa8GK/3wtSjy50xvj1+DV0YoAsuNiKa4LHmpvnlrz/Jd515E9MP84SbXpSU1MP0FaKijS7aXKqN4je0sJjszdzOpFdIyn0utCc4ZGxS86NsOhkKe2rstq/T8QzycptjxjoPx26xu7eTHlXrqIKHh0DLM1jpZTgS3WDbTPBgagHLV1jo5Jhv5ymmOkwmamEcqDTgWHSdL99zBMlSMOo+/ZxIfN3FMD1+49IjLH3XP+NXbryPE9G1Pe5zkbf70yTlsPC+2D5Iy4vwnuRNpmd3iYsmi2YBXXR4JH/nrnc4fr/J7114gMEBBVXyqPRijEd16l6UuGzxaOo6X9+c5oePvkx9LsqXfvch4hseCNyNBUQQCMSQ5CZboZUoEAU8KSzIsuUT+0ycG49rZLQeKWWAKIQVOy6bdFydiByq72XRY7Ge412jC4xHG2iiy5DaZEEqsjVIsGpmWO+lkUWfuUSZihXH8mTcQORwfJuv7+7DcmVK0TY5PXy/3qyVsFyJ6XSdnqvSczVapo5IgC65NMwIvZ5Op22ALRIULV5v7yMoWghCgBGxqLRjvGciTCUaeAquX6AZGMyWKmx3ElTbUbb6aaSqCmJA+WYBwQudDnJhQL8gIyo+fk8mN9Kicvsb7/z+lYpuPB7nyJEjf+m5aDRKNpu9+/wP/dAP8RM/8RNkMhkSiQQ/9mM/xrlz57jvvvsAePzxxzl06BDf+73fy7/5N/+GcrnMz/zMz/AjP/Ijd9vDP/zDP8xv/MZv8FM/9VN89KMf5fnnn+dTn/oUTz311F/lxwVAGBrwwMgKrzJFeysOIrhG+Iu7enuMj7mP4WRdBFPkVr3I0ew20oaOG/NDf+96FD/mc/boAnP6Jqrg0XINdsw4I0r9LjD7z4Hqv7T4AX7lwKeICjZR0b4brP3Q8Vu8fPkgxqaMZYp8eegI78rdoWwl+ZsPvMZnF47jNDQkETavF5k9ucbN7TiB5uP3VCSAAPLxLhtiAsEXCEom8ZjJULzDTKKK5cn0HYXrt8YQByEYwov4SLLPRKHOgWiFVzbmCLIOkuHi2xJIAYfGt4kpFhc3Rrm0PorTUZme3qHvKAhiwIsvHWPu9CofLl7m/L4pfu2pD3D0vgUOzu7wenWKZt+gtZ7k+pvTHL1vIUykiXU4md/AkByWujkWdnMcKW3zzlv7mT25xqg8oL3nccxFelhmnvwj22xcHiI/VWNrkMQsushtCTsVzrOzyR5no4s0vjXC0189jZkNbw6G5OBrQfimqhi4OqgtIfz/6wGBLHAmt8rTgxFSxQ6ttSR/wFmulkZYbmc5kt7mZqvINw9dpibG2G3EcToqRj4k72SGWsxvFwgaKq4rcGR2izlji2cbhzgYLfN8ZZakNkCL2liBgNiUQSTkOqdc4oUuXSuJNtzDuZNAmfGYS+9QirY5EKvw6dsneM/kEi/O78eTwhazkLHBE4hGLLbaCUZKLfSIzb2ZNbbaR6At42dBFAOCYZNBX8PXbb710CWaToTL1WFO5kMw3Zv1SXJ6SKUShYDnyrOsr+U4ObvCm7VJxmMNxhMNLvXGiUkWcclkKNJiKlLjZifsPr3dn6ZodLB8mVvWEM9XZ/n20jucb07xYGYRDwGJgHenbvF76w/w0anXyO55YP+ofj+PJa/R8zVG1RqK4JMSwhbzG40p5hJl3hNZQBLgd6oPs9YP85nT6oAbdpp5u8S9+gqK4PHV3iEutMd59/FbHDS2KMktdNGh7KToBDoR0aLmxfBdgY1qKrTG2AKBAUdSW0iCjx+ErXUvI/IfVt7Hw4UFJpVdHCREfDqEkYV5uY0ZKDS90Dq468ZJSgP8QCAt95iOVdl2UrRtA8tXeHt3DEn0OZTeYV+kwj5th5Lc5JY1zI3+MBNjVZqXhhlkRCK7PpLtI7gBxT9T4bvAQyAl9Xm9u48L9THSWp9HszfRBYfTsWW+Wj/MnL65t9N2+dLqYY7ky8QVk4od57HkdcZiNdYPpfna20eJDXUxVAeRgHda4dx5xc4xnGhzj7HCHbvEvu+4w+KfHCC26d2d3yKAtwfUQAC1GxZjIQBPE7A0EdkMyL6k8Vr1EBPHtziR3kAUQpGoKAT4gUBGBU10OTO0hhtITOm7vNOaYHOQwg8ERCHA9kMx40Ynddd2E5FtslqPN+uTxBWL8ViDO8383c85kd/kRqPIe3O3+LPt4+TVDsOxcNG00MyhSh7JRI9OT8dIDOguJfmycIhI1KKzFUdK2XgDmY1+isV6lm4jAo6A3JBZ6CVxoqG/X0laBCMeqUSf6mYSMeIylG9R3k2Sy3foWwpmRUMQAiLF/jdck/5/TqT62Mc+xgc/+EG+7du+jYcffphSqcRnP/vZux+XJIkvfelLSJLEuXPn+J7v+R6+7/u+j5//+Z+/e87U1BRPPfUUzzzzDMePH+dXf/VX+Z3f+Z3/S7vQ/93hdpUwHH0piWiKxIpdgrhLMmaixG0UyWN4vIaYs0jrAzZ6KTw9zNiVuxLDx8rcd/IOJb1NQjSJiBYfSl28u7JT9lbxHgJbbpqf3fcFrppjbLopnCDkyXY8HUXwwYfBlI1kCtw6P8kXN4/x6p7nblANMYW+EiBZAjHFIj7UQYq6CD2JQA7wYx6HU2XSR6qcfOwmP3byBf7+ga/zd8a+zoXdUVbXcjSu5ihN1BCKJpm5GpP7dxjNNYkqNi/t7ufMyXkmx3c5NFIm8AWOz67RtTVsT0KSfArpDg8dvc1WI0l5K41iOMhTXY6mtjiqr3Mivk5stsGDmUXen7zCykKRiGbzyKnrRA40AdhxEuiSw0ony1I3x7WrEwRXElx65QCxNRHPF7ls51hx8ly1S6TUAWf+xmW2Gwl+/ANPk4/0uLg2xofOXMSL+AgBIMHDpUV6vkbLMULi197V+9b2BNqxJlRCeAQCWKm9VXsg4GYcFrs5oo9UyET7BLpPpxnh1ZUp1itpvvzySZYWiyFo3TE4NrrJd595g9XdNMdiGzTnM7hNFbknktpf5063wI6TZK2b5mJ7jI1mksVGlnjEojTUIDHTxBjvUO1HOTq7Tn8xSRBz4Wocd8im62m88PJRrryyn9erU5wZX2NIbzFWbPDAkXnGD+6gqC5n9q1gOzLdZoSvL+0D4FM37g2DD3Sf/Zkqmu5wYKiCqjkMp9ocjmySUvpYjsxCO88r69PcWh3C9BTykR6FWBhTpyYs7lQLLK0UePH6LJfWR/nizaPEJRMvEHlnK0R47ovu8muXH+FTa/eQUcMowpTU5/7MEnHR5D3pm2TkLpavEBEtbg6G2W4mOKhtERcHvNmZ5iPpt8iKPbJSlxlll5pvIO6FC8wlyszoFW44Oa7aOeaiWzyWu8lUtMZj6Wvsegnu1VewkfhS+wTPVw/y2iuHcXyJrNzlq62jPNc5zFudKQ5qYQ6qE0g4gcyx0U3io20mj22RKbSZ7xZCqpw04MH8Ir+y+Bjru2ELPiyuUXxEFs1CmMPra6EfGJHknois5RmkpFDRPBspM6Pt8IHCVbbtJH1bod6JMqw3eac1zh9tn8MJZJ6phx08XXZoH/TuXrfdYZV+SUX04PBPfYyIaLNuZzkTXaJjaXwwdxk/EOjt3UMeTd/ACWR+a+Vhrg9G8X2R67slbF+m62ncsoYou0kadoSJfRW61ShxzaJsxpmLlWmYEb6yc5iHcwvUvBj3GUt8V/EtvveHv0L1qBRCM/ZiAJWBj9oLkAfBXgEW6BVFzJSIp4XFlwCStwWqXxrls+dPUTWjrPYzdBydhGxSseJsm0mKWpu2o/NOa4K2rVPU2mTUPl1H41p1iL6r0mhF2W6HYBDXl3h+Icx/jikWlifz5PB1IopDXLXYF6nQ6hs8Gr3J4dQ2Ecnm2uYQALX5LD1LpdUOR4qDQahED3wB3xeQBiJs6Si7CgtfnsG9mEJfU1ESNv6IiX1wwOTpDeZmNxAlH3cgYygOeiZ0BJSrSRKJAY1WlEFXI8g4tLrGXRvSN3L8Pw48ePHFF//Sv3Vd5zd/8zf5zd/8zf/Lz5mYmPgf2sf/x+Pd7343Fy9e/H/64yE3ZepOFF/3URsSvY04cl/k9NE1vrJynG85cZHPlO9BzXss7uSYKtYIlBCL5ikBk4kaRS1EA96yhhhTa8xbJcQ9c/4b3X04gURSHrBuplnvpbknvR5m69amebxwg/lOKJUXbZHSdJWTxzdZ6mapDyLcV1yh52qIUQdSJoIY4G6G5JbOVhwlY/KuM9fZHiQ4nNym52lMp2r84+Gvsu5mOKqW+fHlj1C9kePAyQ3uuMNEFIdIxEISfardKIrkcShd5nJtGENWeXdhnq9szRFNDUhrfU6m1nmnOc67Jxb4ymsneO+7b3P28DJVJ84ffP0hpJ7I+OEar/RmEQWfVjPCtp2kqUXIjDbJGn2G9BZzeZUbu0Uu3phCMFxyuQ67WymMsoTShfaEg15RaZgGP/rs9zG9r8xHx17lh4deoCT1eOXpf8K/33wCoWQiLRp8sX0SKWtTyLY4lN4hLpn8i+sfDOH+SQ/RlZB7AvabGZxjXSJbIqIH8gN1hDcyIEB/1GV6ssLVl/bjRgJ20g5y1MH3BJyWhlqRET0BM+7R9XR2BzEWL45yUdoHApyfmICChb5gQAD1jRQTyQafWDmF5UqslLOomstMusbbSxPQUQjEgOJEHVUKW5qiJRB0ZKy8xwePXOG5tQMEMvgBrFcylNUEjMDqQoFVJY+asDg9FgpBPFckcAUELeA791/ganuY0UiTpWyO828egLzFgp3jxOgmJxIb7LpxLF/mQ5PX+OSNMO4vkjC5USkxmamz3kiRifUJAjAHKkrMZipfp+eo1LsR1s0MTcdgNNXi1Z1pTmQ38X0BWfTpuRrvVMdoZiPIgseDsdt0fJ1dN0Fa7nG+PcWl3WHG0k2W7JCfW7VifLx2P9+cfoddL0FHNPhy4yg/lP86X2qc4IPpS/zLhSd5YjgMuR8xWjzdORZ6V90Elq9wWl/jX2x8EB8B25NIzIYhEa939zOp19i2k6x2M3xNOcJKP4sbiERlm6PJLR7P3eBGf5g7YoGNVpI/805wIBFGypXXMiAFRER7z0bkkhL7jGgNml6EhhtlRG3wamMfZ1LLWL5CUhogCj5ZqcvXmofD9Calx4XGGGeH1nhxcT9/+PY5sERQff6V9wTnssv86eJJnpi8wfH7N3lq/X4kS8Soh9eHrwiUzg/41akPcObEPCIBjw7f5tM7p5jcs/5MGDUuteb4ruJbfGT0Ap9cv5diokPPVjmVWOGl+gFWpBwlucVHS69wwxzhE/YpVspZVsiynUvw0YnX+J2VByjbCRb7eb419zaK4LJPK/PYh8/zlcgpsleC0K8LyKYfFlwN7GgIoRE9kCwBIQhnwIIPog2JWzJLzXEKJ3aYTVVCV4TgszuI0XcVslqfzX6SsWgDWfTpeuHKI6GHi7x7J9ZIKgOySo+aE6WejfBE4TodT6fixFk1MxxNb1G1YvR9FUn0ebY3x/ndcWKqDVs69WyEIOVguxJ+XcVTApS6hOIIBH0NM6rip1zUmM3hoW0u3ppEids4TQ3BkgkGEomhDpYrU7MiuK6EFrdY38xyfGadgauw1U4wsBR8V0BSfCIRC1X2qC184z7dv/YpQ74aMN/MIwQCvgzxsTYzmSrvTt4k/oAZrmgdlR8Yf42dUpJVM0t9wqBRi/M3jp8nJoUh2prosGFn+MLOcdabKXxf4CnjOHm1S25vdX29PsT+1C5HjA3e6U0yHasRF01GI00MyeEXv+lzzNtFUlKfP7Tv5x+MPcd/3HyEtqVzdnqFlDpg4Cm8WJ+jpLfJjDXRFZcdM05KHXChPoYhO6zUM/wz81tZraXJJnq0+gbJ2Tr7E7vMRwqsV1McKO2y3kzRa+tIis9Xb81xenqVN2/McN0YopRr0atGuKkXuSUU+Jvjb3O7XyI7U+dkZJXL/XHORhf50tQRZMm7G7M2qVYRxID1QZr/3Ho3I4k2t8sFbm6WGM036Pc1nrj3CuVBnKlojevGEBuLEwgexK+rCAFMJuv0XsmzkU7RGdb5unWQL28dAgGMHZGgGsHTwFiXMXYlto+q3P/AMr/7ysOcPb6ASMC5M8tcbQ5z59oosVWJUq5JRYgRiJA0THaB/pRDutimZ6v4CqhNESsXEIuatJoRfvZdn+fnXvomSuN1phJ1Nq0UmuyGg6u8SdBQeWV+H0cmtri1PoW8v0PesGhYEXqmShAIRGMmiuShih6y6hIf79JsRjEUh7WrQ3T3NYgebtBZSHH69DyK4HFqaJ3laJbVtRyCK2A5KjmtCyKIRiguulEtUop3cAYKYkfmxMFlLrdGuLQ8xgVhnFSqh9IV8C2dkVNbnEhs8NTWYQ6kdskoPSxfZizfYKcVx/NEFMVlsxXaRixX5sToJhfWxnAGCuVOnH95+PO8058iJpls9PfRsnS6psa+sR2MyD5sT6JmRTEdmbodIaf26Pg6TzVO8M+Kz/Kp9jHiikku0ue7R97ghL7B1d4ok5Ew2KIfhBxkVfD4h4Xn+HjzLI+mrrNoF/jwyFWGlAYdXycumrwvfpWX+wdC4VB7HCeQyGld3EDizVvTnDu4yPcVX0MXHPJSj0vyKLt2nHujK9wXC8cbPV9j20lxazDEwFMZibSQRZ+Bq3C9OcSD+cXwBiHCrL5NXBzQ9KLYgUTFSXC7W+ROLc/xwhZnUsvk5Q6Wr6CJ4RhJF20eTt7h41tnGTLaFIwOiugxmm+wslwIleWKQNfWmDM2mc6OM6S2yMltnrm/hvVcFqMGQhCgdH0CUWD60w5vqjP8wsOfJSt1OaBv8wcb9/OdI28TFS0KuTardo4JtUpEcSi34yQMk1cboQvgRHQNO5B4szfDlpXkSG6bNT3N8vVhtut5qiNxYqrN2fgSu26cG+YIC/0Cj6dCPsJ3P/ESv596kOIrImrHByFcEPQLYeQkQjjnRWOPXAWSGdoWRRuiGwLtSomXT8e5b3KZ44l1nJjMlc4IebXDgWh5DwEqklNU3tqe4FRpnaVOFlV0sX2ZtNLjw8mLmFkFMwgffX+KEa3BS9UDqKLLcj+L40q83NhHpZZgp64iOwI7b5XQbQFPUVHEPQuUBO5kn3g0jO7stMNdaUR2kKJuaI8zPAJPIFrs4QcCW9UUumETj5pYjowgBiw3MmFoiCuhKB7peJ9aK0o6MmCjmsLXvvGt7l/7ojt6qMy+VA/lgIcs+iwslfihI59j08nwQ5lXUQi4f3aZiBBQ9RQ+7tyH40mI1dAqc390nk/UzrI9SNK2dNbKGfaPVJhN7lBS2xyPrOIEIfB/MZUPo+kEH8uXefrmYb79gfOUlCZv9WZwgjAp6CO585xKrjIhN4jJFpYbsl2no1U2vRTiQOT87jj7M1WSygDbl0O5fC9C0jBR97yhE9kG9UGEY8Ut6laEm60i0bjJQ6NLfO3OHJ4tImsequZg9lWubA+DGBCNmWSNPk/cdyMMEdg8ywu1A2x1kyR0k+db4Qry7P5F/sXBL/CjL383X4idoKR3qDpx3nfwJgNP4bHSDX7t9iN4GxGCosXqVpbAF7hcG+bbRi+xbSfZaKb2kn7CmLFByefy5giSCP5ylI8tfBhfAl8PIOXDjIW4Fc567UkLraWTuiGycyqOaIpcfH4WyRKYv69KtZJA9AU6czZ0o3RnXLQdmUKkw+oBCzyBb5+8xLXOMIPZEK04l9lhSGvxjHSQLTv03ZbLKcpbad5z+BYAWl3gvofmef7SIRhIqKKLvL/DQ+OLoe95bYxMssfhTJn5Vp5KK8bNWgG3alBv6ggRF88XCSRIRwYoosfYqSZjRoPFbo7buwVEMWBuZotyJ47ri2z0UwiR8HUVhIC+qdJWdQ5MlFnaySELPtd3SwS2BI5Aq54mcbxBt6czEm1xqT3K1nqWra0MSsTG0B1K8Q62pYRm/2ydg8kdXt2eJqraTEVr6FMOO/0EPgKS4PNmbZKPjr7CglEgoQ44GN3htcYM33/gDb62c4hbOwUius1sbIerrWGaiSg/nH+RBSfB1e4Ii60cpWibbSdNxzdIK33u9AqMGw3e7k1xMrLKqp3nhjlC19N4vjXHbKSMJjocUHd4vnuIiGSRkbpU7ARNN8LOIM6Plm5R1pP8o+e/i+84c54nElewA+kuw3m/WmbVCL3kquCx5CY5oa+hCC5eIPLR7CtcMke50JvkUGSL11szPLc9y8hEjWbf4K3uNAeMMhHRoulHyMldnu3M0mpHODq9eTetKERWNu/OqrNSlx8aeYV/t/Qo9+bWWetl+Mmpr3KxOMnLu/sod+L8g+nnWDBLZLVQhJmQTD4wfoM/PnmG5KoEXrgZABHBDZj4HPxS5v38b0eepuom+Jsjb5GVu1TcRMgfb07RihscS23SHOwjrlq4gUhB67Jlp+9acV7fnCQVGfDa4/+af5L9CF8vz/A7Tz2KPtvi+cYcH8mdp+bFiMRsrg1GGdPrtNwIP/3wU/wb/f0UnlWQrIB+MSStSTZh0ZX34gABtR1gZoS/RLmSTBDvRHl9/TArx7McyWxzX2oJy1dYHeRIKX100eGl3f202wb37l8hpfS53SmS1XpU7AQ9I2wJl90kw3KDzy0eIwgEbEvB68oIjohaF7l2KYGQ8hEA5UCbqWydnW6ckXiLuhlhczdF0FRJxQaossfOZnqPTiKw3U+gGzaeJ+L2FJSYTUy32NlMoyVNbFtC0n0GHQ0CgUK8y8JaASNu4Xkipq3gmgpb9QSeKSOmut9wTfprX3TXbxeZKi6jih6zyR1awzp5qcO0XEcXAnRB4MXB8F7hFEJCjy/iZR0qdpy/d/u7MWsGUtxhprTLtxy+xJXmCH4gsk8vIxEQl7qYvhJmXGour3X2Y0gO8qbGZxv3UrHinEys81uVd5NUBrzZm6Hvq/xK+XFmYzv0Iyqr/QxtV2ejl8I3fO7NbdB2NbYHSW5thzdpQSBcbfkilidjeRLV3TiuJ6IpLvV2BN8XeWVzCkn2CHY1XEMkCAT8nsLAkcgV2xiKgyx4bFkpXtrdT1IdcDC+w9HkFn+2fIyv1ubIJ7v8t8o59kcrPH74BndaBbqOxj3pdR5IzPOQscqL/Un+7ZFP84WRe7hYG6FvqRwtbJFR+3xq7R6qjTilbIuqksDVBQ4/eTvcXZkyQSxAbQuhGnAgYKsBalPEK/p4e3NtZUPDl0CxQBICnnjoIk9dO0IsNaD/Wg4lHhDZFiBQsRMq0uE+hw7tvdYTZVLagIoT5823ZlE6Ao8++SbrgzSxiMVjI7e40BpDrUmItoyd9tnsJ1ks59ECeHllmonpCqsree5PL1HQu1yrDzEaa5KMDziVX0cTHTZ3U0iyR6sdRUzbyIrLkaFtqoMYQ7MVZpMVzu+M0+rqDBktrm8PhRzlXR0x3eB0aY256DafXr+HZLJPr68hCGANFDbrORKlDpPFGpORGm/0psAVQAkI/IAPT15lvlvgbHKZpNSjMR1h4ChMJurYvoQoBAQ+BAiYrsJaL03G6JPUBjwcv4UXE1mwShSVFv91+0FOZdb47fWH0SSXffFdJMHno6VXeLp5jKLRoaLGaHci/NnyMeK6xX61TNmN81znMONGnVeWZni4uIAmOowoDQAOx7Z5qbqfE6kNnq4f40B0h7obZeApPJG+iheINL0In2ycZURrkJHC7NpvTr3DnzbO8N0jb3JEdfivW0c5fXiJxxNXEQWfgjhAEzzCWy7EJZPOXrrQfi3cUU2qVbJyF13wOKZtckDdCWfD1jESmsl2O0HcMHmlMoNS8mg4EZqOwbjRYKeeQBDgiL6OupeWNamE+FeJ4G7soC7aDGyFlV6W2fgO63aWY8YakaLNU8ERdt0EG1aaa9UhjsfXmbeKjKp1TkyvcefgfrLXXAJRCHeQcljA5JeT/Iz5zfy7M39CVuqy6ab5g9X7+P6JNzgc3+Zqe5iZWBWAWj+K5ck8lF5gxczSczV8BO4ZWievhoXgcmOED41c4w87Z7BuJbmhF/l97wG+t/gaihCGLhyPrGGrEjtOig8eucIXzZOkL0t4GmiNAMkEJy7siRQDRDfkpRtVsBP/XbCDAGobhIZArTHEV4tFni0OODOxypDeYtNMMfAUhiItFtwCGbnLfFBktx8lq/VIygM2nTTLVoH5XoGNbgrhfBJfhSDtI1sCbtolcW84vilEOohCwMH4DudrEzTaEbQ9/rMk+WRnqnRNjXy0R2Ughnqe+CCEDnki8YiJVYnwY8de5N9feA/DYzW2lsMFnJgNkDQPry+z2UgiiAGDlo6esLBdidGhOjmjy61KEbf3v8gy9P/GQ3QFXl+ehg2DeW2U8bkyv7b9GN+Rf4v+nt/PCSQ+u3GSx4dustTIcs/QOi9XDnIqtsyhw1theo4T4YOpSwBsmimeWZrlrdg43zv5FrPaFmU3iYeIFS5b6bg6bjSkqAwZLUTBZ0RvckDfZs3OMaQ2eSR+kxvmCNc7Q9yqFmjEIyysFpmb3WChk+NUZo03VifRNBfLkjF0B1XyOJTfoW3rbDdyGHGLvqnS3E6A4iNIAa4q4W5HQmBE3IFtHWIexVKTucwOXiDQd1WGtSZvm2PElbD1kpEHdNYSBJpPS3V5/eZBFmZz9G0lJLEIAUtajgNGmRU3xhd2T3A6tcq0sctznQMEAVzeGSEAus0IgSewuZZF1kPc3Pn5SX7o3lcpW0mebp5EMgXsggtO+I71NQFhMYLeF5D7MCgF2EmwkwJJZcBjyWs8ZR+jtxVHU4GpHn0hSiCCm3OgqzBfyzObq3B7tUTkjsb8/VXmTq5yLLnJkNrixa19XNkappDsUn1lCHvMIV1q43YNYoqFsGbQm3KIvxVjdVZD7Em0PINnF2Y5MrLFZKTGWifNlfowGb1P0FDxUjaaEUbqWXWD+w8t8UowQ8/RmG/nqa2miQx1eX1rEl1zmErXueKOsNpIs1DJcSU+zESigZFy2O4nWKuniSUGDGQN1xNZ3U2zXksh7CUqCZZIIAfc7JRC9F5vmO/Ovc4/mfgKdS9G2U1SdeJMabuU9DZfWZwjo/dC5Wdmg2c3DiCVAiTBIyaZLFt5DsZ3aDoRsnoP25NY6ORp6QZTWoWYZKHpLm8NJnhk3x2euz2LKnuU3SQzSo2KFSL5ipk2U9ouO06SlNhn2GjwC2sfIqZYiEJAx9V4pzWO64uYnsJ6NMvrzWnem7nJuxO3KEkt2r7OrpfgkjnB6dgSJbnF53sjvLoxzT+ae46er6ELDr4gsuLkmFYrqHiIQphe9HzrEPfHF0CCrDggJZrcsIscUndQAh8nEDmZWicpDXjKO0LR6HA8scGr9RkSisnteoH7pxc5NrrJdi/BZ+qnOBbbIC4OSEgmIj6+H3p57UBCx+FDE9dISgNychtJCChIHa75Y/z05JfxEYmLoY9eIqDrK1TsBGl1gPFgFXstg9L3CWRhj2wXIPcDIu8YfKzwGP9o8hlSYp8nh6/zO0sP8MToDb698A7/fvG99C2FfLzHqewaL9QOsD++y8HYNn1PY22QYdrY5ddvvYeRyAR9X+U9U/N8pX+Y5ptFHv6mRZasIpc6Y8xEdvla8wjvT11BEx000eWJe6/w1dgc+g0jtOVZAW4EjF1Qez6BEIqp1K6PmZYQXfCVcMYrDWCPyInaFKEe5c21ORKHaqQMkxfe86t8+OUfBUvit9cfJqkOqFQT7NzJ89pe6IkvhcQs9XiD3rjLvtlt4orJfC3PcKLN/sQur21PUhejbDcSmEWFhmng2xLlWpLRfAOEANeTOFrYZrufwBjp0m+H3vuupRLRLXZ3kqD4/NrlRwgaKu2YjmiKob0wLuP35BCN2dVQ11SskovVVwg8kbnCDhff2Yc+1mEs3WTxG6xJf+2LruAIBAH4UZ9A8VnbzrBRLfFadgZZd/iFez7PO70pfnzqOTq+zocmrjHfLfC373+Jvq9xVF+n7sb4nuxr3LBGMH2FjU6KfLLL7ttFvEmBsptEFx1m9F2qbowtM4Uievy99zzLnV6JaaOKInhsminark7TMTgQrXDDHGHFzLJQzyGLPovlPPlii8lYHVV0WRuk+YFDb5JTOvynOw/TakZo16LsJOPYtow3kMERQQrQMgNk2cff8+3GJlvsz+4yE6vyBeUomugzHGtxfmsc3xdC0dTWIRxX4sr6KJca0xw4tIHcFXHUgPuGV/n69WNUr+fDvOCkixxx6Toaf7ZzEjcQuT+zxKdWTjIU7+B5Al45QtAVcCMBqX0NmmspAjng9AO3KOgdnnr2NM/tzPIf93+ClzbvDW0ItoiYsvFrKuzrIV6P4cQDlK4QsmHDERrPrs6iTHqIAwnBAyvjMZrusN7UEaMOQkslUHyy0T7VQQwGEnYyoL+b4JfnPservQPc7peob6aILcnMftsSnVMaY7EuC1t55sbKNKwI0kDA0ySsTEDiloKZDTB9Bbemc0spcjy5yWi8SbmXYKubQEjbaLrDSDrMV67HI5yNLPDF7aOs3hgi0HzUpkhPCEMRAhHqh03iiQFz+R22uklaA50r28OcGlljLNpkIlZne5DkemeIsXST6XiNL188imDvhSokXM7uX2Y2tsMnb92LOuxyyxqmILfJy23u0TdYcVI81znMiNbgJ44+x0Fti6+0jtH1NN43eutuxGJK6vGnW/fySP4Ocd3kK/NzHBzeodqPcl9mmS0nzUFji0+VT2MYNtfqJUTZpxjrcLE/SSJm8vZ2yN6ezVW43BtjNlLms4170USXzXaCXKSPHxX4zsJ5fn3lPex2ojwyHu6ITybX0EUnDG13CneD5Pu+yrgS+lz/5eUP8COHv44k+Gw5aabVChUvji443LKGKclN4uKAlNTjUGQLRXApewlKUpumb4TqX19B2qM/HNDLxMUBZ7Mxak6UpNTn1nYB15IJHJFft94dKlP7Mj+3/wt0fIOOr1N2knfZ5FUnhigEOIHEscg6W04KXXR4sTWHknSxAhlddGh6ETq+wc1mkQORMquDLACiEHC2uMqr3yki/VEyhFTsBcvHN1zMjET3E8P80rd/gF+c/Ryz+jZnCikO6GXKbpKHSot3F/iPJa5xbzTGlpNm204yojWoWWO8VD/A/elFep5K19MY1pr84zNf49LcOJ/7yjkeee8lMmoPH4GKGaPspvj1W+/mhw68xoqZY3Zkh8iEzerv7SewIVLx74JpBD9MKYKwtSz4AaIthH4Y4c8Z00ArnFs7AwHr1RxbOvAeuHJlEqUrsvrWKG4iZLAHcoA9YjN63y7Ngc7f3Rey17+UPkalF0MSfHotg65h8vSNw2SzXdqmRibR4/ryMNGkiR6ziBkWMdUiFrEY2ApvXDxAfLTNmZE1Xl46glmQKcS6rNXTCLIPHRVX8YmOdpnL73B+J4ZoSwSeAFKAoPoI9bDgin0JoSNhTLe5ujUMPvQbBotO4RuuSX/tQ+wDCUTJQ7AF5KaMEbNCgLUYcGR4m9/ffIAPJy9wVt/iam+UpDTg8ex1TkWWGFYaRAUHRXRDKLy2wZha4+HiAucKywQyLPRDRnRK7OMEEqavYEg2TdugYid4uzx2N83k1eVp9hsVRvUmENoPvjJ/iNZimtZSmqlSlQPpXbxA4I2dSb6/EKaMREWLv7X/VQ6Ol1FjNvpe7JtgSgiGy9h4FUNzsMxwfhcEIWdWl1wu1UcpJjsMp9rcKJfoVaKYPZVXN6fYXMpxZmgVz5TAh612IkQTRlx6rno3exM/JHn5OzptS+fWTgFRCPhaeQ5DcYkpFkeGt8nsC5F4oiPQ7kQY2reL4Ao8nL7Dj+Ve5Jsfe4OVjRw+Ar1DFp4KYl9kNN9AzpscHd7CjYbxde0DXqhMTu4JFN5K8srONIEYhGpgNWDrahHRFKGqEcgBqVKHyteHUSSPbz37Nl7JZmS4zt994Qe43BwlKlvce3iJQAgBEt1baZbPj5F402ChkqPSiWGnfUpzFYKZPq4Rrt7rdpQg6jKoRNiykozoTR4sLPJt45d4YvYG50ZXaA4M4qrJULzNnzbOcDhVRh3qIcac0O+o+UiWEGIqN7LMZKqhol0IeHTsNuOZBtv9JO/sjDKmN8I5suoxFm3y0toMUsxBTNsEhs8/Ov0sf7PwBjU7hmPJXNkYISX1qLkxDiktvEDg9d5+brZLtNwI40otTJwRPb50LYzivDYYo+lF+MOt+5mOV/cwij667oQ7hkDgRmcIiYAXmnMA9PoaaT3kPt/aLPG17YP88soHUCSPXltnqZHlmeWDrFlZmo7Baj/D4VwZSfTZtpLsunEKkQ5zhR1EwUfC56i+QUrqseZk+dPyKZ5rHuIL1RNsWmnmrRJ/9+3v4V+d/Bz7tTL71TL3GUuMyG2iosWkUmVcqSEJPimpjxeIZOUuHd9AFxyuW8M0vSgjcoOaF8UMZGxExpQaP3frg+zuQfZ10eGbDlzl1MwqStRh0NWQFB+kgF0vQVwccL+xzH3GEu+K3uJsZIFJvUpcMqlaMV5t7+e5ykG+Wj/Ks4sH+I8rj7Dcz7JkF3i+fYiqE+dMbpUxpc7pxDIHomUORMtEZYtivEPllIin7nV7lJBWpdc8YpsO2n/K8EvLT7LrxjmXWABCetrp2BIdN0R7LtkFIqLFW61JkvKAlhvhUGKbnNZj00pzMrHOiNZgy0rR91UU0eOb3vcGz710gvlOYU+RHTA/KPJ9+98kL3dY6WZJqQOGjRa1k37YTg720JCCgKeFDzMp4svgy3sFd+/tKtrhn4Ifcp21ZoDcg+h6wNw//xhaNVw8S/u6DM3s8p3vewV5rEc83WcuucNYosVBbYtJZZe5RHgNyaKPqHrYrsxQsYkgBFiOTNbo8+SRa3c3HHHNQhZ8JlN1YrpFeqJBp23w8uI+/LyN6cgslvO4bphDHsRd9JiNKPrM1/LkRpu4GZfAlBB6oaqZrIWaDFGTXjy83u2WRpCzESwJQfS/4Zr0136nG0gBB4cqbMdCLqrlShwvbd312f65raPuy2ybSfYbO9TdGCmpT9sL4766no6NRMWN0/EN3qxNsnSnhAx8dX6O4SNNOr6BJjqMazVeb87w9voYjMFDI4vc7hcpaW2cjoqHQFrpIRGwZmUopDs0VJfZfIVblSKnM6v0fZVvG7+ILjj84cY5vmvkLUpyi78x9BbScMBvrTxMo5wIvcSaS87o4gcCfVMNhQGuhOcJ2L5EwwwTO65tDeF0VZACogmTdiWGaIkogs97Dt9isx8qW+/oiVDJJ9s4KR9EUPN97HIEIWOzcafAwSPrRGSbqzfHkROh13mnFSdmWCiH2nieyFyxzMUbU8hdkQ/EbvO7jbP8cPZlVvdneMcc4+vv+Q885P5DDkyV+edTX+If29/BhSszFI7uMhxrIQoBF519lOYqtF4oEUhwtrDKc6aGeTuJ4AkEMgQph3iqT3s3hvVWBsGHotHh87eOk3hHY3umQKQiMp8J4fETkTo3VFhcLyCMmBjXDJwonBjZ5Gp5CNEWiCgOyfiAZjKCEEDPVcPZzkDiWGyDlhuhtheTd6tXomFFMB0ZXXK5WSly9eY4P/HQV1nKZ1ms5PCEALmqhAsK1SeR7ZHV+uyaMXJGOHfrOyoRxeb+oRWudYZp2QZHh7c4EC3zdXcGSfL56KHX2baTmIHMkl3gZGwVfy7cpdwcjPC++FVWXQNdcLF8mWtXJ5i8L4xAi4sDktKAe2ZWiUg2PgIvt2a5L7Mc6hHkLjtOiIosd+LMZKq0HZ3fuv0gkugzMMOklpVaBoQAr6my1QlnX4LhQltBzXu8d/Qa6/00h+Lb3OkVuLwzgh8IrNbT3GoUaHQiFJJdrmyM8FZygrhm4XgSjb6BLHkMXAVDdnh+cz8jiTb3T4RRk5N7UA2RgH4gMyK1UAQfG4nLgwmmtR0cJG4MRijbCWYjYXhKVLRp+hFebB/ko9lXKLtxfETeMzJPQQ2BChe6ITjiRGKD4QMtZvRdfnv+flLZFq+29/Nk+hIdXwnzgPHRhTCC8EudY3woe4merzEX2SYvt5FFj+cWZpFEn4/3z6KIHvviu2wNkmG7X2kxPyhi+TI9V+O9hVt0TmjU7CLF897ePYtwOOqC4AYMfmeYa/94h4Q84Fhknb6vcqU7xos3D3ByZo3z7SnuT3pMROp4eybgvq9yLLpOSWnx38r3cTq1StvRmU7ucqs7xD6jQuZQleuvT+OfE/ieoddZMEs4vsyV/hiy6LHWSfNw+g6v3DxFd1jATkJi2cfThLuoyEFRCNvA7b16u1d0PR2EPvh6KBSTzXB3HEhhAQ5EAU8XGCzFcI6YPL12iFyix2i8yUovw0o9w1OJEwC8XpniQGqXtW6asXyDgaNQqSeYLIbJS44nUbWjjGcaWHtBC8ORFvfGVviNxruZzVV4s5wk6EkEEY9uM8JQqUGlnoAAVn/gp5n+5C8iST4R3SJj9ElND1jeyeIbHpgSfkfBVmSU4gDflAk8EXyBoC+TGGmToMHaN1iT/toXXWWkR0rtc6NdwmuriKbI1UBgf3aXs+kVzkXnMQOFZ1tHeDx7nYho0bF1Km6CS91xvmDGOJrY4s3+DJavMKdv4XgShw+ts1TNYu5E+Vp5jkPpMnk19PMmFJNTY+ucTK6RkXrUvSgv7M6CK/B2a5LtfoJ7MutERJtvGr3Mre4QA0+hkOiy1M/RMCOMFBt8onaOrXaCX6o8wbccvIwieHxm/gRmQydV7OB4UrjLcDRaA50n9t3gZrPEnZUSWmqA7cnsS1Vp2gZuxUAAcjP1MNVID+ERsuhhOQa1fpT6fAa1I+B3VQazCoEUECn26Ld1kAMMwybQHRYrORwzvHRkxaPcTGCvR7GEGL7hc/jgOte2hhiZrLK5nebT7WMcNjaICOGN7Wp/jBm1wo+fe5aup3N5MMFMukrjVoaHSot86fPn+NHv/CL3P7ZE3Y3yeb+EnQrY6KeYSDdYsFK4yQBjrMtEpsHtjSJyQ0ZrQGfaJ6d1uW9qmbfW5lBHenjtGL4t88aFAwiOgGGDVFaZPr3OspzBaWmIBHzHvoucPLbCP3z6+xiareBFfVLjTTJqnyMj21ypT/J2e5KMEs5HX+vs43qtxHiiwUQ6FA6lowPuG1nlSnc0VLZaj1LejiBZ4KY8UH0GA5X5Vp5CpMNWN8l8LY8secymKlxvljBkh66tcjqzSsuNcO/oOhvd1N3W4fIgT1SySMoD7osv0ImGGdAVL37Xb3osss6nMvdwf3yBy/1x9unh7vLD+Utc6E1yT3SFjqfjBaEOISJaJKU+x9KbDEdDz6Equrwvf4M1K8OnL92LY4mIMYdspkvNEwjaYUs/sCUkW6BSTfCZ3ZMEtsTaWJrNzQwTY1X8IPTXJjWTk7lNHF9i4CjENYvJWB1NdGnGDKpmlPcXr2P5Ctc2HqRzLctPf/Pn0AUHM5CJiCZNX+WSOcEDxiLOXoEZVhrU3BglucW7Yjf5wbd+gOPH1/EQ2XXDIPRXt6c5HVtmUtkNyVmJm8RFEwmfP7XOMKPvctpYwgwU7EDiZw49zaXeBBcaY8Sz5p54SrprawJw9lr0WanLhp1hwSqy0sniOyK73SgPjizj+BK3W0VOZDaYVKsMyy1+p/0QPUclq/dYHuT58MhVPn5M4+Wf+Xnu/8ivhMVJBEEE0QmQBz4X/+1Jmt/ZYXyuxhvNaa7tDBFP9/m+odf5ide+g94+lXuTqyiCR1w0+fjNU4wfqaMLDjOxKuebE9yTXKfj6zyWvs5Nc5jpVA0eqnHx+Vmuf3idETXMEf54+Sz747tcXh/lX688iXDI58w989heOIqSVnQi2wJSK0Dp/IWa2U6EPl6CsPUc7LXLRScEbqjtACstonQCfDVAHgCBgLmTpzfu0x/uMR5vsNZMkYn2ud0u4iPQtVSu10ohRzrSC9OMojJFo3OXYmV7Eh1bQ5dderbK7VaB9yZvMJJsAWCkB5iDKEgBw6UGlWYM3xfIZsJFr647mAMV1xWpNmMYhs2+0i5HU1u8Vpmi1TcwByqpRJ+OrGN2VYYnQzHbWLxJtf6/OMT+/02HVTXw94t4bRU0D2IOg75GrGRx0lihJPV4uT9zdz4S8pI7iPjMRbZ5YeVhTiQ3+E8vPUphqsYr+gwAf2/0BX504XuYnt0O0zP6KVa6GfxA4JH8HYqqQsuNIBHQcKLEFIvEcIe3VieQFY/Plk9wcmKdE8kNVroZ+o7C35p8ld9efpCepfJ79fsx2xrDI3UqA5XP3DyBv9cOEXQvFEN1NGgp7L9nl8mRGgWlw5erh1AiDnHDomi0eW1zCseRQIL9BzdZeX0MQYJA8xEcgTvtArcvj4dtWx/sdDi36ToaQtTl/ZM3+eyFe5FTNmdG1hg36nzi6YcJUh7FiTrDsRZ3qoXQThD1UOoyN9dLUNPYMhVSmR5/un6SR0rzpMQ+FSfOR9Jv8bXOUWa0HRb6RY6kNrC9AyhtkS8tHsEzgtAzrPT49J0TuCUfL+NwaX0Uz5KIH2/g9nTcGwkap0ykDR3BBzsVCuc+f/EEP3D6Na7ODdHeiiPvGyDfjGLc08C+mEY818BfTrL+4jhHHpvnhlhiSG8x3yvwmeXjyH2BrfUs++a2qHajvFMdJamZHDu6ws4gTsOKoMsOquiS1E2OJra42h6m7eh4gYAhOUwYVV5qz+J4En7MxY4KCKoHHYWp8R0sL7zeHi4u0HQjnN8Z59LuCJYr0evq/OCx19myUpzfGUeTXerdCJ2kTtwwORZd53x7inGtzpqdY0rbZdeN81L7IDtWgqLWpqS1+NenPouHQFFpUXdjTKsVjqphus51a5S4ZFJQ2iyahTAGz0kwrtV5ID7PtcEoW1aKjqdzIrrG+dEJdNnh9vIQtXoMI2ozAGirBFKAZ/goisdIronthcrpeLZHQjN5T+4W//HqwxzNbvNmeZzeQGMo3WY82uBavYRpK8zldthsJVlK5MkqPZKJHk888TZVN05cGnDHLjKjVpAIGFdq1HwDFY+Or5OVusRF6W5G708f/xqXe2M8mryOJPjs18rcPzfPS92DzCgVdMFlRGqx6OQ5rW/RczUm1F10wUUUfPA1slKXh+O3uTe6Qt/XiEo2Kj6K4NH0ImHiUSCyZBX2CFgSVSdGVu9RTg5IRwZM6DUm1Cpi2mdEbvBC9xAPx26hSw6brSSVdox5Kc+J2TV+8uAzwM/TOCCRubW34xXDcYToBkiWh/JiEuegzEorw75sFVUKfTrjQ3UubowyX88RBAL3D60wkW8QES0uD8apWHEOJ7ZZHuSwApmC0uaAXmZO3wqxmfdH+fjXHmbfvWscTW1xNr3C0iCH21RB9xmarLPRSfF9E2+w0Ulx6vGbfPnCUbJvy/gqd3eykhPaAn35v28vh4U4uuPjS6DX/TBMwQzPE/wQ5RrZFPGqcS4wGnphJY+ZZJ+tXpLRZAvLldnuxPENgcVynkjUZGcQZ2U9z98/8wLLgzyrrTSOJ7G7niY/1uATO2dClroZY1++Si3WJ60PyOshlU2XXVTR48Mv/ygPj7W40Sgh7bWJZcFHFAJW+xlGYi0OpHaJyyY9V6OXUtkdxIgqNrYnsdpOExea33BN+mtfdMW4w5DeQk7YBIHAVKlKXDEZNxqsOHmafoSoaLFrx7nTLZBWB9yXWOT6YISDxjb3ja0gEhAd7lDZTVBXo2RTXTqewcfe9UmuDUa51S0xHavyxZdPgQ8j97fwEdgZxHlXbp4/WzyGtRGjdLDCVLpO0zIgAQdiFRTBYy65Q9Mx2HZSe9zQNivVDKLmsbWdDmeqmkdgSgS+gOAK9OoqyAGBGnAisUFO6XCtN8JsqULTDJOYvr66j9Ojq2z3k5BtMnAV3AkT35aYndpmfrPAna0ifsQjmuvT34hBAGLWIqZYROKh6jRTamE5oSVKJLTzZCdr7E/t4gcivaaBGAABuFGfoKMg+kBbpl1P0Yx7fKp+L9szSeKyydc6R/ni6hF+7+gFPr1ziv/P8rfg+wKCGmA3dci4fPnOYYayLVKxAT/2waf52S98B37EZ2L/Dmu3isRWQrFTeSOD0RXCnWQUYivgVFWeGwtbfNJAZPbQDndWJrmntMFLmSS6EISJP7GAq6/vQxjvk1b6XG8NkdAtMvdu4/oiIgGtjSSZ2W1MV2Eo0uZOM4/jSRSiXVKqz+HUNhtmGteXGI00+WDhCufbUxzVN7jaGeHR4dt8YvsMYkcCQUJ0BCrdGOeGV5jQa8zq2/T8UOUsCaGYDmBK22VcrTJl7PKplXvJxPpoksutwRBHIxuMGg2cQKLlGpx3phhSW3zh9jF+9fSnWHeyHNXX6fsaz7UPoQgeaaXHU43jrEZDodG0WuEBY5Gab5CSeiREk1G1hi44lOQWR5Nl/qR1L9c6wzxXmeVIepsj0Q3+YA+a0e9q7B+pcKc5ihCEGax+IOD5IgdTFTTJZbEdtp+frx5EVT0uVEaIqg7FWJdH8rfpejpOILLWyfD+7FVGjCYDT+Uzy8c5lN/hwdgd8lKHvGRT9xQAmr6BHUgogcSWm+baYJTHE1dxApWmFyEq18nKXd6TvLmXFgS6FM6rjxgbmIFCRjLZ9QwmlXCnYvkSVwbjZGNd5u3SHuqyh7IXcP975Qf5yZGvYAYyUcHGESRqfoQJrUpG6uIEMltOGpGAqhUjotnsT+7ywfgV4qKHCDzdO0DfC3/Gnxz5Kh/d+X40xcULBLbtcNb689c+xM1f/CJnvu9XUbs+g7SE0g+wEwJKNyC+4fFffv9JZj64yPcOvY4k+PyntXfzeOkmv732EBND26iSx5HoBprosOMk2bXjnE0soQgeB/QyX64d5XBuA4kAXbS5YY7wt8e+zr9sP8ntpSFuSyUS6T6djQRiyubs1ArL7Qz7U7tUnTjvGlpg4KkUxxrE91lsPRuK6OiD3A1dCpIdEAgCbiTc6boGWImQ1yzZe/1ngfC6+e92w4EI8htxrAMu8VyTC+VRYrrFai3NQxNL2L5EtR/lwPAOa400y+UckubxXOUgh5PbRFWH4ViLx0dusTZIs9jKcb0TJRkdkNRMWn2DoWibl5dm8F2ReGJAALiuRCupk9BMLFemPohQjIWdxN1BjH2JKlHZQiIsyBOROuudFPsSu7Qcg4hsk3Sb33BN+mtfdHPpLpuD1J+PGqh0YnRUjazW51O3TjKVrzNwFXJGl8V6jrFUkzU9y+YgxaXGKIs3hzn33kXGUk1WvAzufJzi/eG86OX2Ad6VCIEKHU8nkAJIO7y8Ms03HbjKzXqR//zmuxgbq1EdhUo9QUs3EISAb52+TE7uookOsWjYrnquepB7cuu8sTOJ3VORdJdo0gwFA5aM7ykhgLzQx6oZRAo9Bhtxvrh5hLQ+YOAq7LTiHCqWubY9hNXSsYdlqt0osuQjSx6fePC/IBHwq1vvQ9Fc7L4KrsBgLR767iY7iKLPxe0RBtsx3o6P891Tb/P12n4+98Zp3nvqGr4S8Ehpng0zxRvLU2CLiCUTYdNAm27T343iR3wEW8BPuSg7CoEg82J7DiVlYRg2pXiHjzfu42RqnY8Ov8InK2e4LI0g7EQQUjbnppaomjGKRoc/2rwPL+4hJ2xiqkVkU8KJhylLym4YLiAPQgCHlQlnSNVOlEKiy6Atcv3OKBOntsM4sppIS04iS3D03AIXb0wxmWvyudVjFGNdWgOdbLSPKASUO3GCiMvSnRKCJ1AuxskmejRaUXbLSTKFNudKA1a6GQZOWBQySpa82uFLjRO4vsQn3j6LuiOHIiohnGllon0cX2LVzOIFIkWlheuLjMcbmDmF2dQOX64dZdyoc9DYIqGbaJLLN6ff4a3+DC81D3AwusOoWuOV+gwH4zusmlkKmTbPtg4zbexyYTBJXu4wo1eouzG6ns65xCIntHV6gcJnG6f4/uxrRAWb31p7F9858jaLZoHHE1d5qXeQQ/omuujQdnTaps5zjQO8rEwzkW6Q1Ew2ghQr1QyB6qMkbJyGRjHTpmupXNgZRRR9Wu0oY4U6jidxz9A6EPp2K3acTStNTLIwJIePjL5DSW5xlTG2BglOFDcZNxpcHowzpDQ4oO5Q8eI0vQiHtS08BKKCjSkNOBVdpu7F6O1RqMbl+l3rkS79hXrYC0RW7RzvOJN8b/oNPERu2UPsSl0kIQh3oILLfrXMrpfAC0T+qHI/Jb3NYiPLZ6KnGVUbnI0sYAYKCh47TvJuq7nqxohJJodi2wCcTiyHvHXC+OuKk2BEayAJPnHRppDoMhxtsd1PsNjPkVH7bA7CcInK4zbDX1CQ7AA7FlqJfFlAsj2y132uTEzSKV4kI3UZjTaZ1ir88NmX+PjiKb57JuwOjOl1up7OSi/DhFFlWg27IU9kr7JsFWi5xl1tCUAu1uO7Zt5hsZ/nVrPAzLEl7kmFAfEXOqM0IxFyqQ6rZoaEbJLUTNJ6n+lvucgzN+dQ3g6BNrIZtpFFL8CJCNhxAc+AflFAdATkfoDWDvBlAU8BTwW9GoQs5z34RnRZZmdrGPF4i1bfQJZ9rtaG6Joak5k6Q0abjVZoC/L3DMK7doxHSncoWwm+tnmQUiwc9U3lahSNMPlqMl7jTquA39AQTQFTc9E1B1n2aPYNar0IB7K7zK8XabYj5NIdskafd3ZGkSWf7kAjHeuz25ymlO7w/MIshUybrc0MmcQ3Hjn7177o2p7E67dmIAjj0tpRBXWsydXaEKIYML9ZQNzR8I7u0GlGuNE2+PbSO3xu+Rjnhlfo71OQ8Hkkf5tKMsHTwiES6oDbZgjYrnsxWq6BKAQU91Wp3MzjofLp5mmGJ6ukC50wnzcR4Pgi5d0kCPC55WNko32yeogeS6om783douIkSGomw/tWuboxgmUq/OKpz/Fia44XV/cxqBlYdQPBFulXIxB3Ka9mqUQdZDVsS0VkmwfGl3lxYT+Xt0YAMJs6P/vQ53m2c4Si0mIs0iA33eUr84f4pmMX+OyLZ0PYuRDQn08hjAwIVB/PD7NC83qX4nSVFxf34+bCmeGOlYCyhlSycLsK6niPmVyNa5sxpJyFa8oIXQlhuoe3FUGtSQSNCL0JkTVHxkdAk1xqdowRvclWIkl5PoafCWjaERbKecShgPlLYxDziEQsFio53LyPl3WIp/v4r6ex0wFq6y8M+oEcYLZ0CqVtqsdb0NLpOwqOI2GPOORGwjlPyehw7+ElRCGgZ6t0bY3BQhLtnjZb7QQnSxu8XJlFaUl4WoBVNWjJfnib8gQajRjikE9W75FL9PjyKydpHdE5nCrz9FsnkDsi5BzsERssKcxzNkWiis1cdJur3fC1easzxQP5JT4zf4IgAE1yw8QoV+G+2ALfOnyRvq/SDzSGlCZv2xNIMZ8v14/RsCJc8UeYS5T5m+PncQKJE3oo6ah5MY5GNvk3W+8Ps03lHn9UP8fZ+CLLvSz/ovchDiXKGLLDpp0mItp0fIOGEyVq2PzZ5nHWF/MMT1e5b2yby5Vhrq8N4fcUpESo9kT1+ZaDl6laMbYHCUZiLVZaGRTJw8i2aA10YprNwegOW1aKih1n2tglLg7o+xp1J8qF9gQkwihEkYB7EmtIBExrO/zJ7hn6SY1na3M8kbuGtwfDAMJdudSm4+uUpBYVL464lyKkCh4qHgnRpBeogExMMqk6MZ7vz3JQ22JMqZEQLHYGcUxfQRU9nEDmy42jSHtJOSNaA1X2GFKbXOmO8mpzhjEjvNl3PQ1lz+ts+gpPxK/wbPcwh2Lb6IK99zMKPNMfRxMdFMHbg/L4/P3JFwC4ORgJ57CSydYgyeHP/ywr3/Nz8D1w/3f8Cq4h4BoCsbKHr4T5t2NfDfiF9JP81n1/yGY/yVYsTVLq0+/pfHn7MOPxOproMWVUuT+zxJhSR9/r9+alNqtBDkX0eLm2n/FIg4zcZSTaIqd0yCU7fGvubZxA5t8uPs6Tw9d5dOoO15sl/qx8gieLV+l6OrPJHaaNXe70S3zk2AXeHhln5eow8SURMysQLXso/bC93M7sKbPlsGXuxEM7YCCDXgtQBuEjEMCNhOc6UQFeCcWd3XsG3DO0TtfR6LshrepIvsz+WIW1QYZJo4blyzi+RM/VOJnfoGFH8AOBpd0s5GGxkiOi20ykGqj5PlZLRxYCTEvBcyXisQGDvsbtoMCpfSucvzpDU4mw2wgNx6Lo47Q1BjUDwRKpqx5uX2ZXjCEbLi899rMk+XffUE36a190tT1kolxTEG3wkgExzaJtaji2TCwxwI3YzCSrKKLPVKLGpd44R/Jlljo5PF/ki5XjfGzyM9R9lXujK2w5aU5Flii7Sb5UC/nLN9sluqaGn3IROjIEhGQTOaCxkwjbzhM1/I4CInR6Mv2Yzsogj1JRKNyzw6RR42tbB9ltxLl/aonxQp2ltQJfrR+lYRucHV2FUXh1ZQqnE+aESrqLnnIoJkL2651ro6xn0pzLLTOUa7F1uwBygJob8G+vP8bJoU325cpUrRhR2cKtGHy6cRppT1nY3Y6huGGrEF/gwcIif3rzHjTdwVyO4yU8JqZ2WbCKvLwyTXq2jix57LhJfE8kItvIeRO3pqMX+5iejmtLRCbbmAMVv6KjaQ6nRtbIqH2uNoZ5c2eCY7ktNhYKaLYAawa3VqcYvneb63dGEfMWsyMVFst5PFcEBYrFFpYj4xigNgV6I6E1IRDBMwJwRFxf5N1jCzzdPoLnC2QSPXYqBrYrcThfJiX3OZAp81pjhlOFdbb6STbUgOVKFsOwubQzgtyQETwQbYFAFYgbJv3NGIIYFnfLl9nopKgpUWZPrLHeTPGmNQHeXh5pXeHcQ9e5WB4lCAQk0ScmW6yYWVY6GUQCXt+YpJDoYnZVcvkOLUsnY/TJan3e6U/R91RySpe2pyMJPh8oXOX5+kEaZoTHirdQRBdF8Gi5EaxAZtEuMKI0Qp6wr4fQh1aBF6uzdBwtLG5CQEIJd2nfUrzIM/VDzMZ2WLIKfG/6Da7aQ0wmamzE0kwl6uyaMQqxLvloj7V6GrOuYxR6OE2d660hvr30Dr9WeYQfnLnOsJGnoHTYslK0XY2rlbBFHVVsvrV4gdP6Kh1f5V+tf4AfGH6VLzeO8sXyMTq2xhPDNxhT6jxdP0ZG7vJo+gYpqc/fGXqJMbnFkpvB9FVqxJhRdlGEMFbTRkIVQmBHQQqj72wkal4sTALzFc63p8ioPfJym00nzeXeOJavoEuhBa8XqNS8GJro8vzaAR4eW+T3b9/HRKbBHy2dodM1+NCBq0zqVV5t7KPt6Ni+zP5IhYzc408bpwHwEPERmFSrRIRQZHXEWOeoWkUEOr7IAaVCUnQ4rW2y5UX4cvs4Jb2NnfmLW3JnTCJSDmegBCHv2JdDkdLwnyr8QuGDHE1vMa1V+PmbT+L1ZdbKGbYbCY4Ob3FfosWiGfpH560SEgHzdkggq7pxslqPqGzxtdphZmM7VJ04uuiwEuSJiwOeHL5OXDI5Ew9Fa+u9NDd7w1yqjfChkats2yksT+Zmc4K01ic/W2UnlUTdVJFMEbUT7qJFZ6/gSuHMV3JAsgICR0Bv+PiyEFqL/LA17eoidhzkQUB0x8fTDF5pz/HBsxdY62XYMeM8lrvJle4oG70UO4M4I5EWl6vDdPo6o5kmzYFBpx96qv+cOQ6Q17s0UwarHS3s8gkBouLj+iJeXaOry1y2R0gMdWhXYkhRl1K2xW4rhhRz8OsagebTb+sIio/nSMTi5l+pJv219+neX1zGSJq4OSckpig+K/NFXE8iaKpMp+s8MLbM0fgmCc3keq3ErVaomptNVBhPNDA9GUWAjGiHGZu+QknqcVgts9lL0XYNEoqJoTphL0kMELywXULAXl4WGIoTtofT4Yvk2SIT41WUjkCjZ3CzWyJr9PEsiQPRCodT20iax8vLM9zeLbAziPNduTdgJYpcl5FaMsPZFqrsMhmrc/vOCIV9NaKKzUIvz9+afAXkgORoC9eR6DcMXrs4y8cWH2Wtl6ZqxQgUH3QfAgE/4Ya+V8BrKZw9usAnXz6HO5BJRgb4ORsp4jKTqNL3VP72kVeZzVToDHQCU+Lk+Dpv3pnih468Rmy0jX8rhqB5+K6IoToMZVvEJlsMGgZrnQyK4BFVbPand6lZUeTsAOlYi4nTGwzfu81uJ4q6IyOrHnc2inx49sr/zt5/hll2n2Xe6G/ltXMOlXPnHJSzZMlKzmOMwWA8cAjDzAAzDAPDgBmCgRkGZgaGZGMbcLbBCEdJlmRL6pZanWN1V1dOu2rXzmnldT6sUvvles95X3M+nA++3rquvtTdVb21d9Xa6/k/z3Pfv5vBQo2RPetULuVoziaxYx7dQRdX95F3tPBlHyFjoqYMWnYAIvF9aLTC1NthDhxYQJYCfOAb1RFeq4/j+QJVK0xUMRneXeLA4Co9Q6G1FYGhHp68nUvcFiktBnADwRY4OrXAS/NTrK6kuXmzyI74JmPpKoLgQ9JGGu6gjLdwPIluR+POgQV25zYQBZ/zlUFGY1ViioFpKCyuZMEXaLR1huM1Hsxd53h8nrajkVWCQI0bRh+nW2P81fxdyIJH09KwfYkRdYut7SSWmXaeeTPgG7/U2s0r7Z2oosNaLYEqOdhuoLitGyEOxpcZ1iqcaEySVTt0XZVVM8klq4+6G6GgtZAVl7hiYLsScxtZcqE2kuSR7m8wlg582Um1x2fXjvPw4A2eKR3grtgMj8Quszuyxv3JG3xo8iQ/OniCh7LTfH79GC90dvH3jaP8zMAL1N0wjiex2kiwK7nJbDeHLlrsj62gCE4QjekFcXoNT6MoNUlKHQ5pa7Q8HQk/uI4E61amdXi7qwTIyU08RCpulHsT13G2aVK6aBOXDa4383Rsja6/TbryRVJKl9v7F3F9gcFkg4Fwg7huYrdV/u6NY/z3s49wanGEua0MA3odXbRpOCFe3RjntfIoS50Ul1v9/M7Ck1y1gujAIbmOHYSXcdUqom0/P0mAfqlL29VIKV1EweOpl/81o3/zEaQHK3iKgF5zg1QfIegUEaCXkjA/2se1RjCSfs/oeX7o+Gv87JGXUBSXtq3hIrIjVEIUPIpyg4vtQc63hjF8hRF1i6zaDhLOBB9dtJnUSyyZaabUEh4iI9oWG3ZgtXxn+iyTsTKny0P87NiLRCXjlrr4YHo1mJgoNgN9NeTdTayn6tQnRRwdYoseagu0WrAGguB1yL2gKFvR704vXE2gPRgIyNSWj2j7eDLEr0t860vHuVHO8Z7CaVwEJsObtEyNhUqajqPS6gaqYoCIatGXajKQbmCYCul4B1H0uFwNxFJyyGFssEwoaiLLLv3xJkLCQgq5uEsReoaCljQQJZcfH30FUfRxuzJiL4AR6VETUQnWB2HN+mfVpO/7orvcS5GI9BAMCSfuoiyrCBGHuwfmSQwFgifTk/jh+AXiikHtcpYbl4a4vpXHQ2AkXOXOzDxmwMmmX2pRUBp8s72HK1aR4WiNl2anSKo9BmN1cESIOfjiNllim2gyMlpmaSsFAjiWFOjpTYnFuUD521uNkla7bLRj4AvYvsRaL4Hvgd0LRqOq6PJccx/azgZOzMUvGliuxB19i1zc6keKW2zVYlyZG+D6Vp7fOvsE9xy5xh/v/zSfuuujDAxW8SUfSfBZODNIRLYQreASEAZ67Bxbx1d97IJN//gWp07vQM4ZQeC9LzBYrOFVVHquwuevHeHbWzt49fwOep3gQj99bhKhGTBpNdkNXv66hiD5iILPajlJez6Bvhrs0Oe3EZknpye4uDCA50pMZrbYaEURBB9dtZF2txjNVonEDDJKh/5og81mFK/fuLUDUhoiSkvAKEWQhro8MDmDvRkio3do2xo4gXpdV21mtrI0bqQ5dX4K0wk8fW1b4/pWnvOlAQTBZyK6haq6RNI9UokOb3vL6yRH64H1wRKQcz0S40FE2ViuAq6AoHm8vDbO5UsjKJJLNtNC12zMnsLJy5Pk0i0qZjggjbVSeL5Az1VY6yVgS0OPmSghG1232Rtbp1+pY/sSebXFphWMPxe6GZJKl41SklNLw0BgW0mKgWfD8SQcX2RQreIi0HRCxCSDXaF1ktEupU6QV/qe4hluzy1wrhEk+DydOc/h6CInN8foeSrzZh7TU1jupQiFLHaES0QUE88TmW+m6bY1fmnnN/mZgRcRozZZrc27+s6xP7zMVLzMK80dnOhO8UD4BgNKDU20g7G1E+GR3DRPRK+w2E3zXHMfn1q9nZduTvHg0AyXKn3Igsfl3hCj6hZrdoqi0uCmUcD2JUTBw/BlYqKBLvgogkPLU2/tTt8MnK97OrYvkdnGLzZdnWudflasTJBc1B7hRGuKb6ztptoNoCa/duVpzhsjt+4bEdmk42isNePE5R535+Z48tBFhJCD15PRdRtJ8qjbYVquzlcW97KxlmRtIcu566NsdGM0TJ3T3XFcX+S8MYjli9g+HNfXqHr69s8PDF/kX2df4lqryI/0neSJ3CWe2HMFy5HZvMfB0cWA/rQtTPFF0OseSsdj8ytB7nHXU6naQSTouyfOo0ou3yjv5XfOPc5XKgf5/MYxcmqLA9EVVs0Uy3aanqsiCh5JJfg+nemMsT+8wpqT4huVfXxp4wjPru5iw0lwujvGQ4lreH5A4FsyMxxOLpPXWuSVFgm5S7kVULry8TbjqSrm7h7NSTAyAUBDbflE1zyiy4H/3wkLdHMidlTAjIuYcZFOf3A/8hQwEyKtQQnJCtKM9IpP6LkYv/nlf8Gl1iB3Rmb4o12f4z/se5YH0teDw64vsFhOYTgylU6Y9XqcaDhICzqQW6cQblPv6bi2yGYritFVycQ7NC2NdKpDLt0MBJu5Gtl4wNL/vUuPYXaVgP430AMBbEsmFjGIxAwU0ePYP37ke65J3/dF9+zCELtSm/iyh2gGEVUj/RWu1QscKqwyGqmgiS5dH366+AKpfVvIPYHe+TSvl4b5xuJuLjQG+GLzMKYP3+5OsW4n2bDjvNEe58fz30ZRHWxP4tpGMehyJQ8h6oDiE8902DVU4v7CDEcHlxkZ32RqYJNkXxM1ZSA3JbqDQZxcRDKD5JyGzNeW9yIKPn25BqG4gSj6HE4u03R0DhbWiBQ7hKMmGxsJnr+5k631BP6GzkihQrGvhu1IsKaz0MxwyRjiwwtvo9oO8/Sxc0RVEzccAP4FB7BEJNlluZakMLHF5MgGawtZ5I6Aqjl4ZZ1yNU6tG0Ip9Gg7Gp4tMn1mBKkrQlkLuvq4jR92+ZvrtzGVKuPv7OAPBhnBni+gzOlIfV082efc6UksT6Zl6zx+4DL5XBNFdXhf8RR7chsszOdpdXQSkR5b3TC9rsZHz97D69fHsUyFeLyHn7HwQy6SISD1BOSmiNVVMD2ZXfuWubjeT1i20BIGyb4mPVOhuxXm7Q+cQqmL9EcbzNczrG9nZB7vX2IoWmPLjKJILj+76yV+duJF8mqLJ4av4sQCtbgk+SRCBrO1LLsSG+AJPLx7mkcGb/DgsSuokksx2iIfa+M5InLMZm+6RFi2yalt4ppBUu9R1JvM1zMoTQGjqpOI9XhoaCYomr6A6SmsmknqdrCfeiQdpELtGCmRjncZiDa43Oin62tIgkdENjkQX70F/C9qDTTRxkXkcHaVfel1jmaWmFJLZJU245EtJtRNAI6HFrgzP09EMnF9kXUrQUiyOVJc4fnybtY7cdyWwkYlwb6RNd5oj/OV2iGSiQ4nSmNERJMbRh97I6uUjDieH4BXppQKpqdwvVtkpZei6kSYtrN4vnDr11C+xs1WjjsKC+TUFlHJwPIlPrd0FGvbjtPxtMC6I9hI+JTcgJseFm26nsJrvQnqbpikFJDhFMElLLjMWXkudYdIKl2ySouQZHOtWaRkxMmEukykKjyVu8jx4jJJqUvFjXJn5CaPJS9xZ3KWY33L7AmvERYt7ktM85f3fJLiYJVduQ3G0lVGQlusGCkimkUoaVAYrjIyUiajdziQWSMtt2m4Ib64cYxfX3mal7qTlF2VGauI4YvUPZWGp9HxZd6VO8vfbR3hsyvHeTBxjfuGZhE0l407A1IV27xjVxW2Awd8Iusev/al92F6Mmmlw4Yd52h4nvcUTvPuwlnevvMiT6QvoUsOL6zv4OXaJM/M7+dqu5+R0BYppcu+yAqbVixYUbhhvlI+gCx4PJi5wTuGLvLsxh6WjRSbThzfF6g5EcKixcnKGH1qnbar8UZ9FIBipEku1MZD4If3n8ItmBx+/yV6h3rYUQFHC8RVnvTm4cFHq/uobT/Y8W75aLXAw+tEwMgK4H/39XuSgF4VOPXFA3zwaz/JM43DjKub3KbP8zsHv0yu0Ai6Uk+ktRXBaGvUqsEhfqGVpmHpFKLtwBZZDg4ppa0EXVNFEHxef+x30fJdFjYybNajRDQLazWCv0278moaOAKOIVOvBlnlPVsJivL3+PF9X3S9lsKAXqd/pBJwa7cnGaOxKhfLfby2MYrnCyw4CdKiwSf3fpIHHzrP00+fpHU5gyo71Mwwq2aSWTtFy9NJyR3em3yDrNKm5CT5r4e+SMdRAz+sAF5Xxu/KwQ9ne8/5mavHqFshJuJb3Fgu0KiHef+u0xy8c4bCaJXCjiDBRF1TwIfKYoq81mZ1PovZU+hLNbnWLrLQCkK6VdlBkVwEATxPJJrtkJysstmKUq7FSEe7uBmb5bU0//3iw8RVg1/b/1UeSlxjR3yT6GCTQqgVfD9UD3c+iiq7wYkwucrOHas4/RaxkIGveKiaHbw+gn1vJtMOxq5Rj9yuLe7eN0NfoY4StbAtmaVWCqumE4kYCCWN8noCV4dcso09bDJ5YIXNTpQLpcDfCvDg6AwlJ8HZ5cFA8TsdpTSfwbAUwhEDJWSDK6CoDvXNGFMDm6B42wSfYLAwObzJlXKRUivG0xOXSatdNNUhH22TjPYoDNX4+5PHcSI+G90YIcVGUxw0NbBvFLQWDVsnoll8rbyfZ8qHaLk6g2oVL+agZ3rs71tjb7LEWLJCz1VA9HF8kaOReTQp8P6pokPXVogkDEQpAO23bY2yFWW1kWCrG2GunaWymMKO+Wgpg5+YeIUnEhfYry9j+ConauN0HI2JcJnbonOsWGnOtYdpWhq35RcByGgdTrYnaTgh4rLBgdASC1aOI6EFHo1dQhUccnKTnNpitpnleHSecbnLg9GrtF2NF1u7OdcdCQ5Fgsuu0DoNN8TFxgA9V2GpncJ0ZTqmykOHrnJgaAXHE1EElyv1IhHVptqI8I9bB9kw43x9cx8R2UITbd4whvnfW/dh+DJDepWaFWLDjPPV2iGOJpaYaefxfIHhWJX5rQwXqwM8v7aTrqfi+SIP990gIpocDi9yujtOWDTp+AqGLwcdvtTF9kVKboKzzRHSUpsBuY7ty9TdMA1PYZe6zrqRYIe+jio4xCSDQ8kV3p9/jeFIjR3RTa71+rk/OU1M7CHh4SKgCzb3hmd4Kn2BUbXM/dFrjCpb/MnqQ2iSS0broEs2NzrFoIPMrKHILq4nokkO/aEGmuhQdaLEJIM7UvNYrswNo0jdC3FcX6Tq6SjbamaAg9oq78qepdYN8XJrB3fEbjIxWEbp71Cbkujkg44RQaCbk3A1EaXjUXzd5cTmGGNamSuNPi73hjjdDg5CA1qNOTOPLLr8xNgrLDVTdMphsmqbrqsRFi2G1Aqi4LNuJIhKge/c8wWG1Arj2iYfGDhJv9ZAFRzeO3qGa63iLa7BgpHF9GSKepO+RJPVdoLTsyNMrxXIym36CvWAJJWvYtzfonLYpz20DdEA7JCAbPp08+It0pXcC5KMpB7bym2wEsGBw1MCD7CrgdQR+cI37+Ynz3yA13rjhAWTj+/9a946cQ1ZctETJoLsISoetWqUpY00y+UU1+b7kVUHpGB0IMkuPUPB9b475nYaKjff+5/ZWE7hxR0k1UNJmhBxECMOesxE0lx6pkq7p+G1/5+i+90P2efZ1V3EVJORg2uEd9aZjG8xU89RXUtQXk7RsHWKUpuqpxMRPf5T8Tn+bfZlxm8PVKAZvcPNVo5vtfZys5vn00vH+eDFH+VkdZybZoGi1CQk2QFa0hEQe0FxwhWIhUyulPqwGxpdW8X2RXxHRI9YZJUWP1x8jXuLs9xTmGPdSKDubeCng93U9WYeqSMibGoszOWpmyHKnQilTpzaRpz6chIaCv6GhtFTqW7F6M3GYTXE+rU88oaK0JJxjCB950Rrkq9WD/Laxiidlk7NDBOeaDA5soEw0sFyJEKqzXfWJ1mqpvDt7R2mALcPLpKJd3AsiYLeIqoF+08lYbKxkmK+mSas2Kiag9uTKF0JBBzvGruAL4EcdvD6DbqmytTAJhHF5O7CHK4bXILjiQDq/1czdyKKPlbOxSg46Bsy3Y0IrVIM25BR4yZGVwVXYPb8IIruYGbdQDzlwc2lPL0LKTqX0uiizW2xWaK6yUP567x7+ByC4KMVgnFsqR7HciX6owEO8JUbk/SpDWLbz810ZDJahz61zp9cvx98cF2BS+v9XK71cWm9n5Nro6hJk1fmJvilF9/L1VqRA6lVEtvJTf9+z3OoqsONWp5CqEnb1tid3WA4XiOuGOiFDgN7NrC6Knu1FWasIl+qH2fTjlMzw1yv5znbGKLiBGlYd8ZnSek9vnZjL+cWhjgSX8T0gjH54/ELHNE22autEhNsMqLJ/aE5RpUtdutrvLf/NKPKFlVPIieaPJEIVMdnasN8vn6cXaE1XETujt7AdiVma1kiikVK65IMGcy1MkxEt3hv32nelzqF7wtMJcpEwiY1I8xYaIuk2iMk2bxam+RsewRZ9AL1rODQdVQ2jBj9WjA6n6+mb70XBcFHl236o01ycotlO9j5Xzf66XgqYcm81fG+0tnJqpPC9iVWnSRFqXFrL3nF7MdFoO6FuWHnWXUClOF0r58r3QEmtQ0eiF1DFVyScpdBtcpqL8mV3iA3zSKvN8f52Nq9GL7CtFUgI7Xpl1rERAtdcPm1oa8Q1wz6tQaTkTJxuYftS4Qkm9v6lhiK18joHQa0OhklyNAdVgO29eHkMlmlxbjcQBdcXES6nkLHlzlvDKILHjuVTX5v399xV2yGdTvFXdk5NNWhu9ukVxRwFQH8oFj4UtABeopA78sFPrt2nL2JdRJyl5OlMUQCkZnpy3QdFduXGE1UieY7/P30QVaMQPX8ufJtjOpbDIeqZKSA0LTYSpGTmgHTuRUAgV5tTDHfy9G0dFaMJAdTq9wbu4EsetTtEDvjm1RbERAgFu1RUOq8b+gMxzJL+L4QCFdHG9jDJu3BgIhnxwQ6xe0y5IEbEvDUQCwmWUHX+6aH10yDkfVxQkFhlrsCSkdAfj3Gf/vq2/hS9RgtT+UnMi/zk2MvEw2ZqJqDorjkc030kMW+gXXCiR6+JyKFHHYPldB1G9eWcFyJO5/9JXYXSohm8JwGRipImousOORTLbSIhSj63DU0Tzhs0quGMLZC/B9E9f+3H9//RdcVKC+luL7Qx0olyUR6i8vVIqtLGQRTJD1QRxR8Kl7gs7L94JvyxdY+rs/3IQowU8lxcyPLV+f38uylvexJbTCcqGN5Ei1XJybavCV1hQ/ufY3CSBUvYaMkDfRsj3I1xlS+zE/d/WKQiKF2KfTVCWkWNSeCIjjcEZ3lUGSJjV6MoWSdqaENiDhk9A5uZjvcwBLRJYf+eJO4ZiAoHoIZpGCIjoC3oSNVlFsdn+AE4xjBE5A2VVozSRxf4qXZKcqrSRKJLhfnB9mT2+BIepkf2n2anblNau1wwMBt6khNCcES0DK9W9/OB6ZmeKM0RLkVZWmmQD7VQuhJKKLHeiOOIPgoUYvB/SWSfU2+OHcIL+ri2iJ+XeVto5e4MV9kuZniH2/sx+opXCkXObUwSqrYpHszgb0SIbIgo9QlzJyLGLMRnCBf16rq0FKIFVuIA13surY9dvPxFdCWVTwV7KjP375wLwNKjUK4RULq8pm5Y5QWM9w3chM/ZWF2FR7pv065F8GyZbSwzf869RCvzo+z2kvSH2mQVHrb+0SfWLaD54lYZpBl/NTEZX5p97MBa3qghBSzWbyZ55WNcW5PzFFpRFg0s7x97BK35Re5VityYytPRLaQBY+VdpJDfav8wNBpBNnjD1Ye40pngLTcYdOKsbSZZnUtzWw1y99vHA7yXt0wQ5EavicQilgsmRk8X+DrN/byqcpdAEwqBknRY9WNogswKluERZO92irf7uyi5EZZdqN4iByKLZNUe1TsCOt2iohoUnKSJLQeU6kyni9QM8O0TZXRWJWwZLFipVmw0zxavEbNCqHKLoLgBzmu8SV2hEu0HY2QFLDIm14IRXDYn1zjqfxFbF/iMzNH+bGp1ygbUSYSFYbTNZ594I/YE19nw06QkIJrrqA0Ag2CkaXuhSk5Ce6PTNP1NGbMIue6o8zaeXZH1jE8hc+u38Zv3niK/zbzKH+5fB+fXL+Ly50B5rpZeq7Ksp1mzsqzaqfYESqxbieZbWTYoZdYMDKookMx1OLrtYNc6Q1ywyryJ+UH+Yvy/bzRG2XaKvL2/HnKVoyvLO6l7WqYnsymEePCVj8AJ69P8MXFw5ieTELu8mpzimudPm6PzDKuljlhjGD4EuNym7oXUOvikkHLD2x0OanFqLKFuM2aPlJcQYtYmOMGnhqAJgBcRcAOCzi6gGTB4huDhMXgvnK8sMQ36gewfZmU3OHH+l4hLJoMhWr8wMRZCukmz1/Yw5dLh1AEj13aGiPaFqc649i+xF35eWatPF/cOkbJiAXja7WD6wuktS6Ppa8wqNa4aRYIixZVM8K5ygBmR0WSPR4ZvMFHrj3O9W6RrNKiP9JA0y1+bOokh8aWEcc62Pc2bwE0fDHgNfsCuGpQeEULlE6wC44veMgdgtg/FewoeLKPvuWTmHdJzMB3vnKY/zz/DspuhNv1Bf7Xns8gih6uI1KpR0lFepR7EXptjWjEwO0obHUjtKoR7pyYZ2d2k56lkNPbhIZb7Pjif6FlaMRjXW6859dwPDFIrHMFvj03SbsRCvQcIRc92/2eS9L3fdEVvGAnoIQt4pFA0VpaSyF2JXzFpz6T5upmkU9t3cnXmwd5qTvJb5bewtdL+3j64AV6lkJrKY7d0OhUwoSTPZJKl4lomazeZlirYPsihq/wV5fuotnVwRLpTzcZy1boyzao9sJ8cfEwv7vn73gofhVB8Nmd2WSxl+EvV++n4kapOlHWG3Halka1F0bWHCJSMHZyQx7RoSZVIxyg8xb6OTC2ghdziQ42cfMWQt7Ey1l4OQsn7uImHZycjZ+2EIY7uGmHr5/bj+cJSC2J8VQFsaKgigEc3/YlpmJl7h2eJazY3L3rJpGJBjv2rVBMtnh1fpzS1TwvvrGX1kaUbjuwLNU6IWIjDZamC3RKEXZmN/mh3afpWEHG7958CUQfLWyjFzt8+spxcEQ8PxCIKUsa6UiXh6em+c09/8BTD54mMt7ATAfkq9CqhLSs48s+7qiBmjbAhUOFVQ4MrCHFbaSUieBuB4EDUk9gbO8avuoTEw0+2PcqYdGkVoojtSSePb2ffK6JGrL58twByvUoRlvF7KgIoo9jymS1NgmlR1Zp0XZ1pjJluh2deLTHTx36Dg8WZ1jupXihtpv+TINLV4ZxOwpatsdGOYHpKbxz50XWzAQ9V0ETHSTR432TZ3h1eYzpSjAJSKtdtuwYuwdLHEyscnd8hgejVzlfGSQZ76JGLBr1MDMbOc5XBtmyY0yGN8mk2nS2wjxzcz8r3SSFdJPTm0NctjKcNtN0fShKHQwfzptJjmgB/vBGp8C02c+02c+qnWLDjhNXDIpak6oTwfAUZo18AJawQrdsRW8fucRT6QsMqDV262uc6Y6hizYJNYC3rNSTnKiMc6k9QNvVuSM1j+nJtF2dJTNDww2zN7zKN8p7+cfFfdw2sISLcEvI42+brFeMZNCRKWVuj8wypFR4oz1Gz1WoOFG+vHmYj2/dQ9mJ8XuvPsEn3riL37r4BGebw/zytXcyfXWIRidEuZTg5lyRnxl4kbVegjuSc9wTv8GF5hDPbu2h5emIeJypDTMQbfDHNx5goZNhsZ3m4cRVOq6KiE9GajMeKpNUulTdCOe6I+zXl9kXWSEd7pFT2/RcFcuTKK8kuVoqgiVS2YqxbgZWlbIRpWxE+Z3ZJ7hu9FF1ovz51n2sOCHSUptL5iBJscuyk2TViRMWHFQ8prQNmo7OPYkZ3jZ5iYmBMtUjDoIfjFeNtIgdCfakdkQgtCHwyfN3oIk2u8PrrHUTdD2VmGiwYOVouBHuiM7i+iL3FOZ419EzzKzmOV/ux/Zlnq/u4XB4kX2hFep2mIYbYbMXo21r1J0wBaXJjUae0XCFNTvJtW4f+0LLzHazHEis4vkCRyYWEUSPnqvw5MgVLtf6UASXtNplb6HElFZitprlA7tP8cjodY68/TJ2PCi4CIFNSG3623m9gaAqUnIDMZUJ4Q2f1HWP5IxH/qxHuOxhpEQScxbJmx7Vzw/y46/9KMtOgoRo8heH/4ZHJq+jqA6WK1HaCsLoC7EWoVSPjfUkAFtGBM8XyEU6xGWDTi2E5wm02/qtazOp9zC3QgiSz46+TXxHvNXh5mKd77kmfd8XXX/brnNkaIWtlSQ5vY2ku0FKhiHiKz69pRjPXtjHt9Z38JFzb+V6vcC7+88SlUw6GxHkroiguyD4mKbCS2tTiIKPInhkpPY2Sq+LrDj0tsIItsjiXLCvKl3OYzoyIcXmW629lJ04YcXmvtQN4nKPy6t9vFKfZKe2RjLcCwIMDJV7xwJvnCh7hPJd0uEeDxevE5MN/J7MfC2NVJfp3kwgl1TEZR2aCoOFGkg+UiTYf4YiJnZLQ+hJCLaI15EZObhGUW9x111XeX1plKhk0nR0eq7CnfFZ3j9wilcv7qDVCFE3QmRDbeyaFnhVZR+pLUFdQUoHitapTDk43IgwXS5wsjJGu6dxfN8sa+0EWsykkGhxqG8Vb1NHcAVq8ymEtkT8cIUj6WX+Ze47FKUmH8q8wl8c+Fs+9p4/5am3naS3y0B0IFpo8/DUNGHdwtc9FpoZrm/lUVSHt0xNE91Vw83YOGEfM+eyeG4AOW1w3hjh2fp+ALRSsIfSN2UanRCRkEmnoXNkKOgkfFdACdn4hsTp8jASHi+Wd7LYy9CydA4MrVBbSzDfy/FoPNgX275INtRmfEcJQXOxLRmaCn967V7CooUmBj7xQ5ElVNHlfGOQvmSTXZlNnuy/FOx6XY3/18C3ORxewNjOfT2UWeG+vpvIsouiOxwfWuJ4dpFVI0lBbvArO76OHLUxKiFSao8DmTXu77vJJWOQj67fyxebh5HwmXMSTChBGIMieLw/d5IptcQBbZm3RG6SkLsMajX6lDodJ/A1dhyN06vDLNVSvDf/Bn3hBorg8rnN43yjvJdFK4vtSSyZaX4s/zL90Saj6SqP5KZJKx0WexnCkkndDrQQ060Cl1oDiHicXxgirpsstQMrzVgkABvclZ3jXa/+NMOhGi+XJ/nV6++g5CSQ8LgrNsPuyDpXeoMYrkLFjDDd7iOWayOHHWxLJiTZ1OZTiD2Bzxz7KH96/9+AK/BXpXtwPImGE+ZEa5LhUJX9iTWGlCpFOYCk/N7wl9mbKzG9nmduM8P/mH+YrNrmkdhlDF+h5eqsGkm+vHKQ+U6GZxpHmDXyHMqsoAgupidheTKC7mJuhbZHTT4tW+OV6iSD4TpxtYfnC5yojnO+NUTPVfmj9bdwojtFx9OwtkfnV80BVMEjLdmEBZO7YjeJiCaOJ3I8vcj4xAbNccAPguI9KUjb8hSwI6Df0CmZCRpuiIloOTjUSEEXtlNbIyl1OBhe4p2JM2iiw5O7L1PdiPO7c49juIGVquNppNUOmmizP7nGWwtXSMpdFowMmuSgiC5fXjnIiwtTfKe1i4dS0+wNr9Lq6Tyevcy9o3PU7RBjWpmJ+BaeL/KthR1EZItTnQnCmsW+0AqeL7LRjZO8fQM3BJF1D7XtIzrBSFnwCP5sB0VYMn3wQe55/0TxbEcFejkFueej13zCZ0L8q1M/xBvGMBI+P5Q5wY/tOkm9GeaxndfwbIm4ajCQavDA3uuoEYsbVweRRY/dyRInN8cAsDsqeiiIUh35i//KzFo+EONaEtNLRcRW8DPXIha2972X0u/7oiu4QlAQAASfuhVirLi1HRQLvuohFbvEcm2O55bY1b/BgfQqH3n5SRa6GYSIg51wkde3x5iGTONiBkVw2Rtd40RrkhmziOEpaGpwg/Vln8N75llrxoPQ8htp7ivc5Gx1CBeRQqjF85XdtF2NPQMlllppWl4IWfQCcpIlMxiqcWJ+HN8X2JErE1VNPAReXJtCz/RoViK4ERc3GoDEPSXwBluuhNATcVsKd++d4ad2vYLYlvAlH8EUEGzxllfznuRNsok2L5amGNKr9FyVjqdxwygi6C7HJhapNsNcWB5E6ok4SRcpbuOpPr7iM1EsY5RDTJcLeKqH4Ap0mzr5UIuxbIULqwMMRutk4x3WKglOndyJ4ICW7yKaIn7M4eemvsUH0yfQBRddcG/5LnXB5snEBT58+zMce+Qax/qWeTR5hfa1FIIh8o6BCzw6PM1EbouqFaYQa3Hv7htk92zRP1kO/Lqiz5/euI8X/uEov37y7QiOgNoQsKMe1moEzxPJ5lo8kLqO60jgCoxmqyB7lCoJvj6/B1V0eeHkfm6u5biwNAiij+1JbLoxbovN8fbMeT7Y9ypH0ssIgo8gQH68gmXJvF4dpeXohCQbw1N4d/9ZZqtZVipJPAS+uraf+xI3eDp5jrhokJdanGqNsWBnUQSXF1Z2EAuZ/KeDXyOpBLvSx9MXAUhLbd6x6wL48J25SRbaaU5sjmF6CocSKwD8XesgC1aOBSfBr6+9la+0DmD4CqrgcqI7heuDuW036XoaB6IBqvG+xDSeJ6ApNl+tHiSp9BhUK6TULrLo0XBD3OzkeGviEhHBIqN1CMsWouDRdjV2R9Y5Hpqj5WhBDnV8DccXaXkh7piYZ0+qxOJGhk/PHmdIr+L4Iq9XR0mpPZ5f20m5E6G8luS3zj7B/1p/hK9XD/Cp+duoWhFsT+LcwhAvXNnFjkyZTLJNOGJwan2YwtQW6d0VLpoDLFhZlKTBu3JneUvuKitGirtiN6nYEUR8BuQaumjz4wMv8xfVe6iaYQQBJMmnbarsDa+iCC4Zqc2DsaucXBplbT1FqRNnoZvhjugsc+0sC70MS600s1sZaCoInkBhqMa+0eBge6OSY1SvkFa7DMbq6JLNieUxXpqd4uzyIG+JXOPu0E2SUpeM1EbC54w5wIydoCi3qLhRDF9B3gbxP5i/gb6vzvn//QsIbpBX62pBaIAT9nHDPl/+9m0kpB49T2W63cd/ufokf7NwO3UvjOEr/MXKfXR8lbIV4+XVCX7k+EmWSmluVHJc7Q3wR9MPsdxNsWqlmNA32bJjNJ0QN1s5klqPC/VBMqEudwwtULdDnG6N8dcrd7Iju8mfz91L2YxiuAqGryAKPtc6fTw4OsOJxTG+ePMQfZEmC1aW6808q40Evi/g7Oji6MFU0o4KQSiC+F2KlV5zkEyQbJ9eWsKOCjTHBToDwddKlo+ZEGn3ibgaqJfC/PpL7+KGVSAi2DwRvcyDEzfYMiOEEz1ma8FaRsRnLFchNtjk8kYfz1w6SLUdZufYOqlcC01xyIU7KAmTdLID2SBTVxB9vJhDLNklpFlIwpug4f/7j+/7oitne4T72szVMyD5AV7PVthzYAkvFPjF7h+bpVWJ8PUXjjG9FmRd3r1vhjMv7UKd18kO1XEiHpIeSO7sjMOKkWSfvkxIsrna7ee60cdUpoySMEHwqRoRbu9b4h33n0LfEgmLFjfnipheoHKzXJkRvcodqfkAD+kkUCSXcjVOPt1kpp0nHDbRwxbztTSbnSjPLOzH9wWMhoYWM0H2EUIObtzBDXn4AmwspPEVH8ESefXaJP/jwoPbr9PHizv4msd6JYEm2swaeTarcdZW03x+4Wiwv3MifPHKYfaNrbLUTOF5wb5SG20hRmxcQ2JizxqoHtevD4Dm0V2OwXZqkRaxGA7V2BHfpJBs4fgiazM57IaGLwXj/pFMFa9g8p6DZ5lSS9Q9Dc8XsH2Rihdi1g6g/4avEBEtPn3HX/JI6moQq7anSmy4ySvVCR5LXKJuhLBciaFInYVmhnI1huOJCHkTQfBptkL0RmwwtpXlyvbKIWvS6ak4rsgX1o7i1FUEU0SRXKSwQzrZxrZkLp0bIzlRJZ9t8sDkDDsn18ipLcpOnJho8LHVe/j05h1crA3Ql2vgNhX6ow3eOnWNmhEiJNmYnsyp1hhXu/0MJes8PnkVEZ9ipBnc/AWbkpPgjd44P517CX27Q37b6CV2pzeISwZ1O9AcfGz5XracOF0vgGZIbYlUosNQpEazp/OVlX24vsjh0AL3R6YDxrDZzyuL41xp9/FvTv4gnyzfzSPRq3y7N86B0BKeL9Bwg+CDUbVM19O4d2SOvdkSni9wLDrPhLrJeGiLoVCNsGhxudSH4SvM2jk+kDvBQiPNHm2Vx1OXOBha5LwxQkLpUbXC3BO9zocKL3O6OcrhxBKnN4d4eGqa2/oW0QWbexIzDEVq3Ju4zsHsKpPpLZL5FpGwyambo7x0dSeVSpSzmwP0bCWIYxMD73e1EcHoqbTbOqVSkvJmnD+YfgvPV3azo1jmmtFPRDTZG13lcm+Q8VAQcuAikBO7FKUG702e2r75QzrW4c/2/y3j6iZv9MZZsjMkxcCyJ0g+f7v7b+g6Cjm5SVwxmG9m+MDQa/zPQ5/FjzoItkBEtZAFF9OT+eDk62zZUaKSyYBeRxVdRNEjm2ohCNDxZSxEzvZGiYkG94ZvkNkOUUiKDnu1FdJSmz61TkLuMaaV0ZTgcK82fLSGT3TVJbLuobQCYlX8psifXruXtW6ClxfGCak2Tw1exvNFkmKXUivGxzfu5d7EdVxfYKWXYqx/C9uW+cTV27FtiYFQnex2xvLVZpF9kRWGIrXg8BCus1hLca1aICqZZNRAfGV5MsPxGlPRTRKKgekppNUOPVfhxYUpCskWE9kKYdlmwcgyHKnhuiKP9F/HK+m0BwVaQyJWLAhLcDWB5qiIkZbo5mQ8GRw9wGKKVgDb8EUwU9DLBCAOpROQrTw1YDh/+Ll385XWQd4wRviXue8EuePVMKIAc7MFFtpp5ssZmrUw2WiHRKrDeLbC3EYWw1LIR9tcXuzHsSU8H/yGysKP/EciMYNktk0x1qJrqBjO965e/r7HQKqaywNDiyx1U9x/5Ca7Quu80pgCYPfOFSZjZX44c4K9d6zyP77zKKIncKOR513953ltdAztSoj61QyhiSa78xvcqOTodjVOzo+zK7LBzU4OWfB4dWOcza04/fk6q7UsSzMF3v3AOR6KTPPy3RMoosMfPvAZfvHvPsDA4XUWV7KIkx73pGdpGRrPrB9kZ3yT2eU8d+XneWltCsNQ8FyJXi2EoLrImoNd15E6IlZX+i7wyg52C2LOYDBbZ+laEckUoCPiJEVEQ0TqBnJ7RB9Pd2i7GlfKfTh1FakjUaunuST4vHRyH17SpmnqbJbjHBpb5vzcMHtG17jWK4IjML+RQehIDO/aYKsdwajFyPbVKasxLENmTCvz+xcfxd4IUWoXUXzoO77O6tk+3KLFwdQq47EK70u9juHLdDwNW/jupagKQWQbQEQMTpYfmHqNX7n4Ln5t91fRBZvT3TG+ULmNrqWwp1hCEVwGizU+uXEH5eksXtjD3X5MQXfJ9reotbJ4qo9kCMjzOuwI9jAL68FEQ6ioXLk+CLKPExXx13WQAprVw5PXmQxvktXa5NUmA0qNkp3gxnoeSfJIRHvsSJXZe3SdkGSTVdoczcKWFUFUfTqOxvV6gcf7rtBwQsQUg9fWRvkb6S4eSl1DERwUwaHuhfhc+TaGQzXySpOVXoq01ObR9OVAFKY06VdqKIJDn1IjvrNKtR7lh3af5JXlce4tzqKLNic7U+zUA/h+Uurys/u+zayRI5Ho8st93+C5zi4yUpuyE2dHqITly7zemmAqtMG6neRqrYDlyNzdN8debY26F2LTipFXWwyqVR4YucnXa/spak12xM9Sb4UoOQn0bRDGqFpmRioAcLIzxWIvwz2JGSTB421Dl7jc6udwfJklM8OEvsmTqQvsVzepulFyiRbFvjofK93HydIUSD6+J9JoRmgA//bQC2wMxNkw40iyF0ARAM8OgsU9X2C6XKDb1ug5Cu2UxgfSJ3m1N8mCkSWvNjnRneL28CxxwSQm2tw7MMe1RoFHC9fIiCYiJsXINOfNQBx1++AiHUflr+vHSKgGc1aerNZmKrLJUX2Rjq+QyzcpW0nmV7NIisf7976BsX3INj05gJUoBv9y50lEweMbG3v5evMgB8NLDKkVrpoDHNKWMXyFshMnLbVxCSYEb3qvDU/hQ2MngterCKhtF18EpQvRFR93E2KrNt12jLl3uRwaXOWxzBWKSp1TnQk+vnI3PzB2ljFtk4hocrS4Qs9V+IGB03zSuYNmT6ezHOMfvP386qGv8b8uPsCBwVUabph9kTUgCHdRZZd0qMv1VoGk2uOdfeeoOlEG1Qp/t3EUWXQZT28Grz8EF+R+VstJkkO9W/vTPbF1VjMJbovM8mntLpyIj9wVEG0wMkHXK9pBtKEZ/24ikRMJMnwFD/QyGDmw4gKhsk+3GEw1BScovOFViY+9eh+H986T7Ovyw8XXiCkmZ0uDCHpAxJMkLxCquRKeL7DeigXsBVtipZ5EEHwkObAdiengfqRILsmQwVI1hSR5dDr/T9G99RFRLV5eHedYcZl3J09TchPck5jhHzcPslhNsTexznljhJvdAlLcxrWC8eu1bh93jM2zlE1R7+l8YPIUNzpFdmTKhAuBwOlbmztxPZHFxdytcbXrf3ec/c3yHmxf4i/2/C2/u/Y44ZSFMNLBdCWePnCBlqOzbiXYkSkzXS5wNL3E/btusNhNkwl3aLR1RNFDiNiB5L6tMjqxwUYjhtFVg6CGsMvg1Car1wq4PZnlzRQIPk7MQwi5qCEbq6bjS0KQoWuIJOI9PF9kNF5lzcsFhVgG3w92tlgiSzcK9E2WWWsnoC1z5eoQA+NbrJfzeLaIL/vck5/lrDJE3z2LzLUyyKrLVKHMpe4gVk1HkECaahPWTXTZ5v2Pf4fHYxdRBBfbl7bTYmwMIbhg30yPEbdzS4PgcIUX5nfy0Nh17oneAAKQ/yPRK7zAHpYiKdJyhxF1K7ih7w3TcxXeKA3TuprG033UdYW65iCPtTE3wgF0fcAmLAddRzhqYlxP4Ok+YkdC6u/SaocQbAFP8/BMicvVPjJKEE5xojbBVjTGs6u7CIdNfmLqBFUngodAVAqER21Xp1+rs2VFMD2Zci9KrRvaft0icdlgd26Djqvyzepe0mqXB+LTGL7Ch/KvcMMqsmqlOBRbJid2acltdMHmqegVXuhOEhFN/nzhPlxPxKuo/Nn6g/zIjlPYvkTXU0lIPS73BhnTylS37Uaj+hadgsZf1+7gnYkzrDpJklKX1zsTZJUWebXF1W4/JSOOInoMJCtUrTB/U72LPeE1Zts5hrJVDE9hLFRmpxYU9dd64+wolvl2fRc/WXiRnGgSEQVOSibTjQJx2SAu98jIbSpOFNcXSSg9TlbHKYSa3BZtM6FUsBE4Elpg2uynKLV5X/51Dt4dRCS+vjAa2IpCgRJbF20G9Ro/s+c7tFydTTtGQg7ALZroYPsSVxp9PJi7TkFukBBtDumLLBhZYqLBIX0pGLEjoAsOP517iXDe5bnuDlwELF/AQ+AufRWApXaK+bUsZ+Uh3K5MZ5dKXmtjejJ/svkQOyIltrYCmpzfkXFtkevtAiHJJiTZzDazjMYq7I6scyS0EIzdR5ZZtjPMmXkOhhYRCYhbri9yrdfPXy3eTT7c4gcLpzjXHeW28Cw2Eoav8NZv/1satxeJrinBDtTxQBDR614AzSjZOJJLQjHobicwJaQeo7HKdv6vzKodIa+1GNYqdD2VdwxeYNOKcyI0RlSxeL62h139GxT1Fn3buoCqG2VfaJnFfJr1XgJVdDgYX2bFCix6r7UmsTyJuNpj2cqwYgaRhwcLa2iiw1wrE9jEGjn2xNZpmDoR0UTJ9hC2osSXgnWZ3BPo5YJCKlmBQ0Oytgl07e1DliwgiKDWwQkHIQlazd/ufgPPrydBeFnmcn2Sv7pL4v3F1/n54nM8Ez7E304fZ3qtgOeJJOIdKvUokhyM8XfmNrm4PAi4eKaE11bYsWONnqMw+fnfRFEUdhYDS+nSZhpF+t75y9/3Rdf1RZrlKG8wxLuyEWbMAl1Xo2HpGEsxGIMlM8PXruzDdwRyfQ0qrQhfX9xPNN+hvREF4BvRvTycv05BU7nYGAgSLlppklqPRVcANShWpi3jiz5KyuTKzCCLtRRPHbnEbw8+w59V7sWu6+iZBu9Pv0bdC/Nr199GeTFFdrjOVxf3IksukhhcVOP5Cg1Tp9YKY/UUBgarLCzlkHSXQ6PLiGM+CcVgqZPC0z1E1SUe61Ho30SVXCxXwnAU8gOrXN0sIooeMd0krNjMtQJRhJC0iEQNHFdkZ3qTV8sx1LCNbcjossPcXAEl2yMZ6zGe2GKjEMdzBXBFPj99mPF8hb3RNV5bHeHw4AoJpcee8Bo3d+V4Z+EcAFNaKQgbFzuIgkfHD+AHhqegCM6tn9Wb4Pqi3KDraTS94A35ZrKMIjgs2xnqbpgBucZrtTFGYxXScptTnXF2h9Z4a+ISV40Bnls4AH0mO4Y2uFnKISxEMPtNMqM1KtUoQkvBDkvEQiamLeArPl4iEJ9pskevpSBEPcSUhecIbFTjfN3cgyh6qLJLVuvc8vdqos0rWxO8u+9sYHeRu/QpdWaNPLLgkVS6tHSN2VKO16pjjEe3cHyJAb1O3Q5j+yJRyaQoNfh66wA/lDzF2d4oK70U+XiTs+YQbwkvYfg+tg8bdoIXa7tYL6XYMVxCHnM59dpOjj22iOEpHA4vUrITjEc2ebm5g6hsMqaVyclNFowsj8SucMYYZUCpcro7xoi2xYqVJiu3uGQNYLky+XCLQ/EVJMFjy47y7NYeSp0YV/QBQpJFUW0ypWxR9XQWrRyq6BCSAm9wRBRwfZ+03CGqmFxvFYgrBqt2ik8vHefdg+cZ0j3ujs8EXbFcoe5pTJv9TKibLJkZinKdI9omti/zWPQyP1b+UUxbZjDRYN1OMqxuUZQbnOxMsWHFud7Ik1B76JJD3QrxtsIFPpg+QceXSYoWNgIjcpcBrUZOblGQerwnfhHDF5i2cnyzvZfHo5d5S/gGHmAjMmtn2KWW+evaHazVEoiyh7+dbd22tVs5vc9f3s3z5t7gIhYIlnaSz0w1y850mVcXxtjTt0HH0ThRm0ARXEbVMi03xH5thU937mDVTPKu1Olb1/+B8DJeTuB8bZA5K8emFeOvWvfyROYic70cd2XmuFnKsXa/yugzDp4qIrg+viTghEQkw8P/Woaxn77AuLbBVWOAz8wdIx9ts9xJYaQU+tQ6Mclg3UpyZ3SGjqdxoTlESu+R1jrMNbJEVZNHk5c41ZkgIXcpyA2W7QyWJ9M0dR4tXsP2ZAbVKl8r7w/2pEKAmr3c6b8lzrtZzzIYq/P2/gu8Up0krXdYNlLcV5zF9mUcW0LUfeoTImojiAhUOsF/8QlyhaMCStfHVYVb7GYnHIyaJTMQloU2QTZ9rKSAYL/ZGfsoLYGrp0f5u9tt9MLrPBi9CrvgY2fuRgnZWE7AsTccGdOWuV7OI0ouxmwcqd9gYqzE/GaGyWKZfFJgPLHFiwtTyLLLYK6GYra5/j3WpO//ousJ3L5nlqal8+Hpt1GtR/C6MrunVpH6uqwbCSxPYsdwiZkLQzRKWSbuXsROSxxKrcAIvLIxzvKpAbLvPI2Ex2eWjhEet1hczHHg8HkuSMMIoo+a7tFohhmd2mBvsoTti7w3cwrbF5lxUrwjeYb5vRl0yWHBzvJbV57A90GIOgiCT2s5jh91GBmoIAg+hqMwFq9i2jKWodCzZeQtBVDwBkX2xNdYNxLEFINIvkM22mGjEWO1kaCzGkNwBARbIHtHG/NmHNGGngJ4wb3h/gcv8sihaf74xbcgJC1evTaJ0JWwDAnRFJkzCsixgAdc3oyjyw7+mg4iCALYIYl3HDjPhp3gh6ZOs1NfZ0CuIQoeu4bX8HwRUfAoOQlaboiWGKLjaRSVOjHRQPQ9lu0Mu9T1/0P3Cy1Pp+MFaEPblxHxeGlhCpAIiyZTagnbl3kgc4NxLRhh/f30Qe4+doMLvWG6noof8hCAjVYMSfK464HLxGSDr07vwzckCmMVaq0wu9MbvHR2N8Rd0tkWtfkUhqIitGVEK6BfGa0QuXwFgK1ajAcmZmg7KoPhOmu9OG80x9ibXOdce5j1XoK+UIPbYvPcEZ3lRXf3LYxjJGIwt5VhMlYmLXeCv0dgV2SDfaFlNt0YM+085ViIY+E5NNGm4YTpeirPdeGh0CKX7Cz9ag0l7nAx2YcqufzQ2Gm6Iyph0WSnvoYu2ByMlFh2AxYuQFg0+WZ9Px/KvEJYdChIbb7dnSIsBr7bN/nOTVtnMFxnLFTmZHWcY8klNNFBFj12pDYpaE0UweWR2GU23Cibboyc3GRPvMTFxgDnzf5tJnKIrNzk0exV/vDyw3xo9wmudfq5pzDHlXY/Wa3NlhPnqdglFuwkV80B9uvLKIJD1Y4QEU08YErd5Cev/RDtjo4ku9xYz/N4/gofufQ4vg/vmrrATDPHajVBJ6qSDXdomjqH9CV0wQ2IT4JPyxewfWg4YXZp67R8mTU7wRGtiodIVm5ywRyg7oY5Hpqn46vbObwCn71yDAQf3xPwTAk1ahFXDTTRJaV0iWU69Loaesji3sE52o5K29a4sZUnr7fQdZvpjTz3j94kQrAyyUktOp6Gi8Dx6DyxbV/ym++HiGiyK7TObDvL/ZFpfrf6BB1b40JnmJajs9JN8vSOS3xN3ouZDiN3gw7NVcEOSwiuhNyDz8weJbGzyzdKe9mV2SQiW0GUqNxlSKkwqpaZMwvU3QhlJ8a59YFAfCl43J6Y52J7EA+R6VaB+Xqa946eIyxa9GkNymoURXRISx0UwUGXbO5P3+B6t4jjS4j4KKJLXmtxML5Mwwkz18shix4RyeJceZD/ufuzLDlpvJaCF3NxwwJ2XCRUCtZhnhSkK0GgZO70iYTKPkYaPFVAafnYMQGlExRgIyugNrmVOAbbKugmqHWRa+s7+cTTMh/oO8mB0BL/+rjFR6fvQhR8FhdzHN89R1br8PzNndgtFW2kjWPLNEydmz/wq7fqyr9844MIgs9Qsr7tZde/55r0fV90B+MN5upZyusJpIaMAAiqz474JqPRKi+vjAPQ66mIdvDDnb48xFN3nmVC3+Su8CwfSr/KbyeeYNOOczi8wK8f/0eGlSpPZy/wpY0jSGGHnz/8PF1P5c8v3ktfuMmd8ZvcG1rkvJknpzZ5tZfmYGSL3xx6hpd7k9w0C6iyg6Y4CAI0Ozp+1KFQaLDVjiAIPtloh6VWKhh1VlRGRmtcHIzgdmX6w43tMZGIKrn0OiqLmxHkhoRZsPAjTsALtUU8X8CJucjbubCCD17I5dT6MDPhHL7qUcg2b9Gn3vQ2C5ZIX6ZBtRNmcniTmGJQHQ8znqnQF2rweOoSQ3IVNyTcUh6X3QhpsYvhK6w6qW3QQZeM3CYsmFi+hIJLd/uG03JDnDeG6VdqGL5yS0QCEBEsOr6Kvl2QDV/B80VcRHTBZp++jIdIWDJ5z65z1N0wVSdCTDL44G2vcqnZz67YBofDi4wqW3yztZ9fOvpNzreHuVorYtU1TqtDCI6AD1TXEwFoxBER3WA8lY51CKfrNAydbLhDOG+z3EmiSi5R2WI4UuNQZImYaDAg13ARuGQMsV8PlMAR2cS05CCDNSMwGK4TFi100SYim2iizWdmj5IK72GzESUeMfh65CBvS5xly47x2RtHuW/kJkrE5a8bhwPPo9xmy47xttHLpOXA2tFydcKiyYDUoOlreMC43OYnMq/wldZ+vlndT0FrsuomsB0Zy5eoOlFeLO/gAwMnWTOTvF4Z5VBqhWGtypBawUwqPFvaTcdSOZJfpucq/OPCPh4Zuo4uuLzSG2XLDkbX60aCa6tF/mvnUTxfIB3q0rY0+qMNcvE2DSdMUunyYmmKw5lV0nKHx6JXOG/24/kid4RmCYs2ZTeCLAS5tu62IPT3dn6J355/isVKinDY5Cul/RhNDWyR1yujzK9lSSS67E5vcHmrj33ZdXTBQRFA204JWHNiGL7CU/HzGL68rZJ3qLjBe/6tkUXqHlwy+3i+vZdJbYMbRpG96hqHhpe5Uuq7Bb1PxztEJIuRUAXDU7hnYJ6j0QUioslNs4ChKEw7BZLhoJC+b/wsJSuO40t8MPsyKh6i4HNUW+WMOcCosoWFRESwyW3nA7/Q2M1aL0Ex1CInmgGcRTW4XO9nIr5FKGQjix5T+TJX7xwlc17GiguoLX87Hi94XdEvxFn9xRTHMktIeIzqW0Ek3/au2fZlup6K6IbZtOJ0NyMk9naIb2cEj+hVFqwsd6XmWGkl2amv80fzj/CvR18gq7TpegEMQxVcdkQ3WTCyiIKPKji8vjmCYSkcKy4zoW+iCC4FpcmQXiUh9RgM1QiLNotWFsESEbygWLqaj6sHu11fCpTZ3YKA4AWHil5OwFWDva4bEpCMQMEtd3ycUPC6JROcELd8tIlZG0TYPKRw7ZVx/vg2nR8dOkm/UuM/7vsGf7FwH05a5I3pMXZPrOF5IvqKghMNxKNJ/buAIICPHf8Ex7Z+BdOVyYXatEXte65J3/dF9+70LA2txhdmb0c0g2W8aAbh1ONqmZlmDscTuXP0Mp8xbgNDRHAFtswoxUSDshvh9c4kvzP4FX5h8R3cF50mphoMSW0+Wb4by5P5neN/R1w0mDGL/Pyhb5GTm+xSN1CA49omhg8HtGXM7ZvIw+EbWL5IdrKFIrj8wZVH8DyB0cEtQrKN64k4rkipHkdVgi44NNLC84NggkSxQ0w2eGF1B54PtWoUWXWR6lKQHSb4SGUNX/LxJVhpJZEbEoIPSiu4Cp2MQ3s+QVtIIHoQVmyQPbCkgGYFKPkepWqcp3dcYjxU5qi+gDIUdA/etmG84wdvXgkfmyCTtOOoSPi4vkBi2yOoCA66aDOqbnHVGKDhhjG8YMQ1oFRRcGl5ISKCBYJF3Qtj+VLwOAh0PI1z3VFGtK1gb+lrnO6O8Uj0CqLgcUf0Jrpgs6Ek8HyRNTOJLHo8GLuKLtiU3RgegUpXFR3uyc+ytJ5mJFXjek/FB1xTQuo3ySc6NDohJMlDET1iioEkeCTVHkPhGrtDayyaWbJKK/CRhuapujr9cg/XByW0QEywafkKj8Yv8Zel+9FEh5Ta44H4NJd7g0xqG1zsDvHsyi7aG1Hacph0ocnhXDDS/Vj5PhbbaWxL5sTqGCMTVRpu4H1suSEUwQ2g/qJJUWng+SKn22M8FF4gjY3rQ9WTsf2Ak/xY+hLfaeziutFPWDQZVbcY1zaR8h6zZoFzWwPkwh2OR+dYswMPbUoOdth9sSar3SRxxWAivcXtsVne6I3y7OZuoorJ/ekZTE8mFDYxbZn7B2/yDxcOgSnijgoYlsKzq7u4v+8mI7EaGbXNbn2VGTvHhFKm46sktgVzOalDRukEhxcrT0ZqMyS1eWffOb6j7+ByuUhMNRgf2WRhPUNEsfBNifpGjNesUd4yNs14qMyCkwEqNH0Nw1PIS200oY0ueKy5Msa2L/az7V08GruE5fusOXHOdUfYoa+jixYVK8pXWgd5NHuV+XoaSfKwNIeReA15Gx7s+QIh0WJKKyHh0a/UKDtxvrMxSaUVwcsKLBppFloZdiY2+NvKXcRlg2GtwlE92O02PZ3Pbd2OLLoM6TWi0vZExhM4Nr5I15fYH19jUt+g7oaR8DjXHqbnKjyQucHKVIJOOYPgbEfn+UGhEm1QWx5nqsP84MApyk6MmV7gzhjQ6ny7uYv9kRVerU4wFd1kVK8gNyQabhAEMKDUONcdQRI8CkqDD42dYNVOMREPFOBzvRz7Iiu4vshlYxBdtNFFm8/NHuHndr3A8FCV8PaBYcnM0KfWKcoNKm6Uy50BPpR5BdsXOdcYRnSCuEw36uFLPlZCQO4I9LLBLldt+fSygT1I7gTgHKXt4ylBRyt3fexIMH62I0EH7ISC5kHfChgC9XEFrQ5dHSpfH+AP73uY39z7DxRFg1+d/Cq/cvUduHGTa3P9yGUFf18LFqIIYQ9dcnjwhX/Hiw/9wa3a0miHqDYiJAZ7FCKt77kmfd8XXYDPnz+K2hSDLma7EEn4fKV6kA+P/QNfbx7kQHiJ5/K7qM6kkfq6jEe2uNobYFzb5FubO7nYGmAiusWo3GbaSvGZ9lFeOreb7FCdjNRm1U6xYqW4O3oDb9uJZW///10/sL+I9JAEn5d74zwUniMtt/nd6bcSDZkokksu1GZ3rMQzzf2YtkwsHCzn31QKtmyNqUKZqGLScnRkyaXSiNBXqLO2loaUQzjbZU92i6taoBx1TJmU3qOcdEH1wBKRGxLpVIdKXQURRCPYw2AFAilf9hFsEUVx+b0DX2JUrlFyo7gIuL6MRMCZ9nwhEAUJJqtugo6nERFNJHwsX2JAqbFsZ+h4QVZp3Q1TdQMAfFg0ychtBqQGS06KpNRlwda249uUQNHsS6SlNh1PY9HKMaZtoos2ri9i+RKDavVWbmpGCpB6O7V1Xm3vICKZ9CSFlheiRYjPbx7n0cwVzneGuSM6y8XuED966DXWzARXegM8ffACHUejT2/wheuHATBWo7T1CMePLwagh26Ct2XP06/UEAnGebpoM2eng5vL9s9cxSMmekQwWbCzAAHRyI6w6cTZoa8zoZT5TnMnYc2ivr3D74sFb1x7G611JLVMw9SJqhY1J0xWaTNv5ui5Co4vMdfK8HTxIrpg80T0CpfUyq0IShuBOTvLqfY4706eZtrqo+kE39M3mmPk0q3AM640Ao+55JLT2pzvjJCQe9TdMNe7RUKyTaUXZl96ndMbQ7xz5CJlJ86qmaLaC/NwfhpNtNFEB11xcD2BpU6KHSMlBMFnoxUjrFnE1GBc6vkCJTPOL1z+AXwP4vEeP73jO6CtkRQNIoLDoBrk9OalFmHR5oQxwpRWYqhQYS5ZYNbIcXtqnjOhkaDjHCmjSC5LWylEwefp6GUWnASzdpDNOyA1WHAyHNNKrLkanyjfy3/u+yarDiSkHkWpS8OTGJKb/GDyFF9r72NAqXG51kcpFEMUfHamy2S1gD6lbAdaQBCtuCe8Rt0Nk5daDMltIoLFjw6fZMuJcaYxjOXKxFQDRXCRRY/LjX6G8xVe601wvVukakW4Ui7y0QN/TVq0+HzzMPdN3uT2+Bw5uUVMdGm7Gq4vMKDUcH2RO+OziHhc6g4RUm2aWY/4bDCSdbVtZe+Wi2R6VP92iE/8oMy/GDzDVGiDn9r5bf7b1cc4El1EERzekr3GpxaP085qaDWBL68f5OH8dSTBv4XjfLUxhelJTIS3WOqkuB7u41ojuMeMhLYwPZljkXlW7RR39C+yZGX49sYUab1DMdTittgcX9vaz+5YCcNTeHV9jA9lXuGK2c/59QEgYEnjg2iKSFbQIDmhQCQlOt/17sZWXJqjMmZKQKv6uNtNpuCDHQ46XzsqIHeDf+tv5xCbmQAtGVuA1riP9nKKP0s8wE8NvoQquPyvfZ/hP9x4DxuOhKfJaLKHrfos/My/5/BX/9OtevLgC/+OjqUiSTpWR+XyWh9ppfI916N/lk/3wx/+MIIg/JNfu3btuvV5wzD4V//qX5HJZIhGo7z73e9mY2PjnzzG0tISTz75JOFwmHw+zy/+4i/iOM4/+ZqXXnqJI0eOoGkak5OTfOITn/jnPM1/8vHxa3egL2iBd0sO4qPstEvDDfGe7Bvb+6krJMUuf7b3b/nFx/6Ru0cDhN2kXmJIqbDRjHFxvZ9vLO7m38y/m9+afYq/+uZDhPMdPB9+a+4pTrUm8HyBl1s72XTixIQ335TBDVAXbBrbtKE92ir/0NrLb119gqhmIYke1VaEhUaab67uJqJZREMmHUNlqxIL/KaWRrUTpm1pdB2Vpq3TF2lSTLXYuJJHXVPQ1xQkyePCtRHsqo5bCpNIduk5CmJXROgEnfDgkTXeM3KOu45e54nbzhMab5JQe6D4SAmb/XuX8MMuh4qrXDWCN0RG7OISBIDXvRC2L9LxFSS8IPnFU7nWG8D2ZRTBQd0uhjHRYJe2dmtkHBODg4SHSMfTqHshdMFm2c6gCxZVN3pr9CwKHh4i57qjVJ0IA0qNpNi99dhh0WTZSVNy45TdOOe6o3x68w6ORubJKm1GQxXmzDxhwSStdnm+uoe5dpavVA6SV5u8Xh2lYkYIJ3vMtYPiuENf5+jgMrpmB9D1lsTfXT3E+fIAA+EGSamL54sc0FbZq60REU3SUptps59fWX2CZSfOphtlm0jJUW2VyUiZuh3G9QXycpOk2MXwZd6XeY33DZ1h/85lHtl/jb5QM7AlKW12R9Z5vTLK8dwSHxg4yYYZRK/1XIW6HWLTiBKWLY6H5rhdq/GNzm7u0jfQBKh7MmU3xD9WDtH1VD5bu52vV/bj+SKrZpLhUJXX2hOUnRgdT+Nvlm5nsxml46q8WJri1eoEJ5sTOL7EcLTGUKxOz1Xwt2ECpqdwtjaE7wt8fuEoW3aMXaF1itEWDw3MsD+xRkLrkQ+1cDyRTKhLUuvx368+zLVmEUnw8bY0vJaCYSl8o7yXT27ew49f+QC/vvoULiIn21P85eb9RASHuhve9q12eSp6hX+fe4kpbYNf6P8mfXqD35/6Aj838hzv33WaqGRS8TTqboQJpcxBdYuEaJOW2lQ9mZxo8o7MGf6ieiddT+Ox6BXqXrDCqHgaX2kdYNOK8/fVY+xLrfPLg18jr7XJ6y000aFmhWg7Ki8uB7bDsGQREU3W7BSrTorzZp4zxihDSoXd+iqq6LLcTFAzw8RlAwmPqGJysT3EF1ePsNZLMBCq86OTr9G/jX19T/wcP5h9jaei1xlSKth+YDl688AZEU1GlSCWMSV32Zdex83YGJlgBCvagWWGIF6W2LLFcKzKgFLjS2tHbt0bX21O8czWYWaNHD838S1ObwyhtAgAPb5EUa6jiA6i4LE3ukrXUanYEd7X/wa6aOP5Akmly8en70QUfBasLLpg85bUZYbVCk/2X+J9xVMciCxzrdePKrrMdzM8u7SLP9jzxSDZyE7Rq4XwVB/BBdEKdChOyMfVA566HQ+IVFotoAvWJ2TM5DYKMxu8ZskCrR40VIJP0BF3t8MSZGiOyHhK8JjCdvfbHnFZ+/tR/uOFd/HTL/wIadHg93d8EWk+8MQbPRUvEtxrLEdmZ7rM+Gd/m9Vqgq1aDNcViaa6yLJHtR3+nmvSP7vT3bt3L88///x3H0D+7kP8/M//PF/96lf5whe+QCKR4Gd/9md517vexauvvgqA67o8+eSTFItFTpw4wfr6Oj/yIz+Coij8zu/8DgDz8/M8+eST/NRP/RSf+tSn+Na3vsWP//iP09fXx2OPPfbPfbpIsndrj+kLwQkwWmgHXknRwPNFvto4yAPxa9vg73W+0D6KGPXZq5b4WnsfO7KbLDdTVCpRZv0MndUYItDdjNCLOOQGO3gI7A8v0/U0Nu04HqADBgH0ISGafLs7xVPR69TdMJ9eOsZwso7tSjRaMcLbqmJNcqj2wvQshWKixXxbY1d6g1euT5HKtG5lkALMVrP0eipuwkE0FXwR2osJCLvgCeCBLAUdmTLYwdwKIbcl+sJNBtUqh/MLPFM7EpjCFQMEn2Oji7x+aRIxYnNxs4+mrfNQ5BrGdlwaBF3lm/5aVXBZsgO7wKS+QVFqBLtaL8Tvzb+VmGry68PP4CKw5qRu/VzSUpvrZh+eIt4ak8YEj6anExcN4mKQqdr0dApKg4YbZtYqUJTrlJwEz5QPMV9P8+6RC3xh/jAT6S1WWkm2ajEeSk+TkLrM9YYpagLfbOynZMR4MHMdXbCRBI+i3OBTndt4oH+GzFCHy9U+3lk4x9cqBwLmcrRDKx3G8wRoKxzfuYQsuHQ8DVH0KLlxdCFA5k0pFV6pT5JWuzQ9nYu9YXapp3nNGGDNDtJw3gTGQ3Dg+GrjEHm1ybtil3l77Arf6OzgTGuEsGixYGRJyV1SWpdj0Xn2amu0EiEaTpgBrU7JiHNP+iZvj17mhDHCqLzEUX2BS1acnUoD2xf5k/WHKRtRJMHjzsw8Wa1NSu5ievJ28Va51BqkYesUwi36Ik3OLg2hag6+L/D+4us8V9vL3ugaXU9lvpvlRyZep+3qrJpJ+sJNVupJuitRPla7i7+++2NIBY8vbxxGFDxats7e5DoT6QrDkSqjeoWNboxSKxYIaYab/OtdL3GbPk9W2k7VyiX42bPvZ6MXYzy2hSY5nDcDuMWqneJ4qMGyGyUj9tivlgDYHVoLhHpeiILSoOpEmTb7eCC8cOta8wg41LrgY/gCri8iCR6PhFe4YMUZlRsYvsSL7T3c6BT4QO4EouAxZ+XJSRYXq/2srKf573d/jqajc7HST6sZ4kRlnEdy0xzXl2l5CjHRpuUpdD0Nw1c41x0lIgdj84FInRFti0Uzy2i4wuHwIu9Mn2ba7OeO0Cw5yUISBCQCte6A3OTbvREG5BolJ8GmGaPraYRFk5ITMJ1XrDSz3RxL7RSHJ5Y4Z48SXpeRLJCN4H0v+GCmZF6+sIsnHrzEYKTOX924mwVjhJhs8NzMLv7ktk9h+ArVjTjCLpf3DV5kRN3iZGeKhhPiaGSBpheiqLdY6SbJqy2eL+3iaGaJQbXKT+9+mRG1zDfqBxjUarzSmOL+5HVqdoSc3OLv1w/TtDR+dOQ1ZnqFoFiLARbzZjcPTjD+fdOHi+iDC54g4Kk+nuITWwqIU4IXcJoF981whCCpSFtxETwwUhJOSEBtbI+eZcDf7pbtQOncHoTErEd7WMBMQeQbMaIO/Njgj/DYwDX+63s/yW/deJKtchxcgX3P/BqeJ7LYStGfaWB7IqLgUwi3aFghEmqPa0uJ77km/bOLrizLFIvF/9PfNxoNPvaxj/HpT3+ahx56CICPf/zj7N69m9dee4077riDZ599lqtXr/L8889TKBQ4dOgQv/mbv8kv/dIv8eEPfxhVVfmzP/szxsbG+IM/CGbnu3fv5pVXXuEP//AP/38qukZXRZHB31bseiIU4y361Ab/c/URfnXwq0zom5zqTHBd6rFHX+We3CxXmn3856W30XVU3tf/BjdiRT43cxedloLUFQN2c09kdGqLOzPzHIvM8bG1e3lH/hybVmCoN/xgjH3VzrHpxHERed3o57/NvoW4alLphYNCqziMJyu8NXOZ56t7kESPFSdBRLHoL9SRBJ9srokquYRkm56jYLsSQ8k6csrj4vwg7pBBKGYwFGsTU4LDxIWrI7R7Go8NXuNGJM/pzUl8yeeB9HX+9/z9jMWrLLVShGQb2xcZGqqw3Eoi6C5TA5vcuDTEpVIMhsFFpOzESUpd6l4YBRdje5/b9TSSUtCB6tsdviEGY6mrK30wTBBlth0MkZOa2x1iB10Mbri2L6MK5vb+rYUoeFhumEUry6XWAE0rhOVJTMbKvLw6QX0zhtiROJscQhQ9DFfhSG4FteAw0yugiQ7vzZziZGeK8VCZ++PT6ILNnJVny4nxzOZBHFe8xZzuWQqfXTtOz1bYkGJstSPIWvBa+gcb9Gt1lo0UiuDgIRITe7zenWSnvsaaE+PtmfN0PJWM1ObOyAwdL7BEzfVyvD/9Gs80DlN3gj22K4jsDa9ylx5k4uqCwNORG+zVVig5SZaEDJt2jEOJFVasDLu0dY7qC1S8CC81dzMWqXBIX+Ks2U9OavKNzgg71A1eae/ka47O9VYBxxNJaV0urA5gujIr5RRHR5Z4V+4MG3aSe+I3+B9zD/HW/mss9dKMhbfY6kUZjlXxfJFFK8uu6Do3e3kORZfQovYt8Y2LyEonySMj1+kNKlyrFXm9O8mqmSSldXl9ZQTTUNidKHF35iYlM3GrUMuixxO5S/xh6WE+vXwbm8U4D0avMiR3GZUb/N3xP+e/lR7l7OYQB7Jr6KJFy9O3JwwCA1KbGTtDWmrT9TQOaSt8vnGMsGhheApZpUVcMrhqZRiS6wC3bEMAyrb3+9HYJapesPZ5zRghJzVJyR32RteYVJpsuQpXugNMqSUOZVYoN6M0XZ1Hk1c4uTbKHRPzvDt3hrob5lvdHeTlJke0EgnRZo+2zpqT4P7oNG9IYyxHUxyPL1J2Al2B5wuc6YwyrFWIiT1cBJadMDHRouqGyUkdOr7MvJnj9689yjvGLrLRjXEzUrgF4zFcmbzepmJGKIRa3J26SWtCp3xpCE/1cVWRyIZLc0TBDgtE56ByX5SQZNNyQ+wJBzGO79p9nrIb54ZRZOf4Og/npzmoL/GJjXuYqeXYl13na+Z+nkhfQhZddsU2EPF598A5Pr10jPGRMitWioYbIiKZVOwIri9geAqj+hbXev08VrjKn1+559a06+d3fQsLkRmryNVaIXBZONt7aDMotKIj4OrbqF4BjExQcJVmkK37JhnIl0GtB1Yp0dlmJWjgRAQk00dwtguvF4yW3+yEezmR+Cx0Cz713T6JGwLmc3n+wc3z+M9d5E/3fIoPnPkQiUKPzUoc3xXYWygFecSmiix6dBSN4WiN6Voez/vea9I/u+jOzMzQ39+PruvceeedfOQjH2F4eJgzZ85g2zaPPPLIra/dtWsXw8PDnDx5kjvuuIOTJ0+yf/9+CoXCra957LHH+Omf/mmuXLnC4cOHOXny5D95jDe/5ud+7uf+L5+XaZqYpnnrz81m4KEsZBtUawkEQDIEXM3HdiXmelkSisEpY4wvrB1lb3Id25NYlVJ8dvoo9kaIib1rTMXLKILLjXYeqdjDsSUcXUQKuYwWKkzGy5heYGgfjtSw/QC+7m5fFYYvMSRXudob4JXKBDc3shwbWqZuhdAkF1nweHRgmjujM1w1BvhP/V/jlxffyXiqGnQMhsZLV3dy585ZdkY3uNLqQxVdRsMVztcHias9CoU6rZ7Oj06+zv2Rad7ojTGllfi4ci99eoPPXT2K05WResHO9ndPvZXhvirr3ThrlwvQZzAxtcUvjD/Hhe4wn7xxL9dn+5FzBk5TZcHOEhN7dD2NhhsmIXW3x14yumCjCEEBlvDp+Aq64JAUezzdd4mX1B3YvoQieJzqjNNzFd6TDsb6SalLTOxh+AqKACUnwaKZZd7Mc61d5Fq5wFCyzpX5foRO4H++mc6CL7B7cpWurbLUTDEQb/JE7hJ79FVKToKyE0fC42/Ld3EktkRM7LFo5fhmeQ+P5K7R9VTOXR3j0SOXmAxvMqRUmQhvBQktYZvdhRK5UJtyL8pGI8ZPjXybE61JFloZ9LR9a2c/om6xR9nirNnPIW0Nw5cw/ECF6iFwXF/CQ+Tl7g7mulmGQjXOdEZ5d/I0acmg60vgw6+sPc7vDn6FPYpBv7TGxd4Qj8cvEhZNps0+LhlDjKplJHzekTzD7y0/wfVmgZ8bfA5dsEEOBGw1J8xzCzu5bWCJ15ZHEUUPXbMZj1VwPZGZahYp57Nipfjqxj502aHp6AyGaiwbKQ5lVnA8ibl2BiOi3CrGcbGHLlicbo9xqdbPbdlF7snOcqXVR1Fvcl/hJpfaA1zY7CcT6aKrwUHqZGmMV/0xdMVhT2qDtqNxcynPSibN/v417krNcbOX56Pd+xnQ6zwev0C/1OXX+7/Bx0K3k1eavNraQV5tckhbRhQCUd24UqXkRvirzXv44dxJlnppRkMVEnJ3u5MScRFIS+3gkCd2A6Gfz61O9I3eOE9ErxARLJ5r7yMsWoiCz+lqoKS/aRbIKm0igs2x6DyvhUeZ7vXzemUUy5Lp0xskt60yEdGk7MQRgfq2Mvo7rZ38RPoEbwDvLp5lVC2zYOVISx0kwaPjaVzsDJFWOmw5cbbsgAewbibo0xqsmwmuVIr0eipfX9mDactc1YrsiZeo2hEGQgaDao3YtijL9BSeLF7iL+JDxBd8ZNO/tSNVOj5K2edjN+/CtGWKUw1qdpiobBIWLa71+vnW+g5qb+S58VidS62AQ/Bo5gqfXTvOjvgmJ1qTZJROEGNoxxhUK0RVixcrOzmUWGHZSLE7ss6qmSKp9Fi3k/QpdSDwsT81eZnntnbTsjSeTp4H4IZRpN4JIXdEBBucWDA+1ssiesWnOSng6h5I0NzpkrooEpzRBez49o3egW5RQKuDL4q4IZCMwGokO8HI2Y4I2AG3BE8OVM9mChB8lPZ2fq8XjKMlAywkwoLNHx36HD/54geJZLp0l2N4vsDmfIb7j15lvRtnKFInp7ZYkNOY3cj3Uj6Bf2bRvf322/nEJz7Bzp07WV9f5zd+4ze49957uXz5MqVSCVVVSSaT/+TfFAoFSqVgFFQqlf5JwX3z829+7v/qa5rNJr1ej1Ao9P/xuX3kIx/hN37jN/5Pf79ZiSNEPPBB6klE9tSodMI8O7cfpSrxHXk/og2Lej/H7rjB+fogji3hR1wWN9O8o+88ZSfG1Y0iriNCS+HOQzd4W/Y8HU8jJzdvCYT2hNfYry9zpj1K3QsAEGnJYNWJs2KmWK4niYSCE/d/GP4Gv73wJP9m5HlOd8ZpuSF2auuUvTDlXgRVctEkh56hIOkOHx78Cgo+/yDv447QLOOKwb/pPM3lch/98SYpvUfViXDeGOZ4aJ5/N/Ne/mjqc0xbRWYHs0QVkxNzE/h1FamksVIuUty3iRtzoaXQr9W5X99kXNli5fYULUdjoZHmsb3X0EULSfAY1zaouxFa7ncRjR4ie7VVSm4wXul4GoagEBMNbF/iJwdeYtONMSzUeDx+kT9ee4i6G6YoB5anWauAKjh8dOEeyo0oYd2i2QzhtRQixQ5b3QiRhMHwaI3ZzSwPj99gb2SV/3npQaYKZZavFikn4tyWWqDsxCnKDebNPFm5xWwjy2wjy69OfIUtJ44qOoyrmxTDDc7sGubO+OwtJfCkvsFwX5W1SoIr633Ypkw+2+RfTAVWpJBkMxHfYs7KY/syablNTmriAfu1dUS45Qt1fYGyF1wTRblB3Q2TVrtklTauLzIo96h6Mj8z/X6+sOev2RNdx/ah7nt8rbObOyM3iYkGl8xB0lKbM93gEKULNq93J3ksd4Wi3LhFU1KkDmeMUUpGnHjYYKaew3UFHFvh6Ngc58v95CIdjmSX+ePFB1mtJPjjY5/ho6X7AutKeJ4zjHGmNsxopMrueIDVPBQLbE9zZp5+tcZUaJOeq/Kd0gRTyTK7YyW0bVX6tF1gR6bMRjeG64k8NDLDTDPH3EYWPd3E9CQ6tko21+K+6DT3RaeZUGoYUYkFJ8WcWeC/zL+NHxk8yV36IvdFp3m9M8m3NyYxbJm79s1wvjfCqpXi3YkzxAWTs+tDJJUeVypFEsUea2aCneENNNGm7eq82N6D64vsCa3SdHXycovT3TF+KHGaP6vew3OdXcTEHlHJZN1IsCOyQVQxudwbxPYldofWmLaK7NXW+P1dX+J3Fx+n3I4wmq1yvjbI2eoQvzHxD5ScBKLg0fUF6p5ORLCISibf7o1TsyPM93LYEYk9+ipJ0bil9yjKDQxfYcVKIwo+k/oGO0KlW571JwevcK4+RM9RcDSR9xZO88XNozySucaSmQmmLv6b4BiXb5b3kLhnA3Emh2gHBSxcdvFkIQBKPJvhnT/+MgdCS/xV7V4OJle43i7QpzfYvJZj7/3zrHYTjEarlMw4muBwZ2aeshXj69f38OSuywFdzYgyrFW5ebPI0OgWa3oSy5PxfJGeqzIS2uLLKwd5tG+ahNQjJvYY1SucrQ7xy2NfQxEcup5GyYzTLUdIzwM+mGkRO+YjWdDLCwjedri5H/x60zoULvmILlgxAW9bNGZkAqEVfjB+lsxtSKDHLea6aH/Xvxt8Lvg3ghd8negGyMkZs8ghfYmM1OHpw+f5yokj+JrHmekxbj80w5VKkdFEldfWRshGtyP9/hkh9v+sovv444/f+v2BAwe4/fbbGRkZ4fOf//z/12L4/6+PX/7lX+YXfuEXbv252WwyNDSE7wlM7gk61q+/cYDBaIelrRSF4Spb7WywuHfB030+UDjBfnWLv80c5XNzgeCg4YT57NwRzKUoclfAjnvsi61xu75Mw1NwESg7ca52+3lueScRzeI3pp7hjd44b41cIywE6LTXS8MMJev0HIWf6nuRj2/ey4O5G8yYRd6ojRDOmvzvUw+SyrbIRTr0HAUkwBf4+UPfIiz4dP1AkPWF2nEySgdZ8BhMNFhpJDCsIInkDWeEqbESvzv5JVbdBIrg8q8GXmBcbvCjzQ+wvloM9iQxB9cXyPY36JoKp2qjHAvPs+nEOBBdYcVK8Y7sOf7H3ENcixX5UPEVXF8MvKhycIW92VE0PZ2mq1N1o7csE/v1Zd6oj3A4tEDdi+BSJyn2EAWfV9s7mG1nufjqFHbW5iP3fom1mRxvu+sML6+No+oOmVyDbKjDXC2NptjMrOdxtzSupook5S72ZohptxBgK/0Av7hmp5AEj9vDs9ywinQshYcGZkhKXQ6GFukm1e0RuMuP9b9KRDTplwO8XUZo8+6Bc3zcuAPLkdnfv4bhKnRdFVuWme9kuCM5H3RbvhB4HpU6M3aGPWrllqcUQBJ8yk6ciGhSlJoYqsJ+PUD+PRKe44utfXxx+QiNns4bZp4j4QVeN4YoO3F+IH6VN8wMAKPKFiUnwQ69REb8bqh72YlxrjvCg7GrGL7MtNVH11Mp6k1+of+btDydj2/cC8Bj6SvclZilqDT49StPk450uW14iQU7xw8XTvKHC29hb3iVJ+Pnme3kKGoNLrf6GdDqt4AN4W07zxvNEapmBMuR6Doqa0YyyFCNL1LqxNmd2uD1lTHUsM0Li1MIgo8PlGsxHizO8EjqKnu1NWKiHewugbToEla2gu9TIdANfLOzk+/UdpDXW4zEalTNMM80jvDNld380Z7PkhQdfn/jYXpdlTfKw4QVm5atE1OMW8+14Yb467N3EEkY3DmQZamdohBucnZ9iHsO3mB3KFAcv9zYyYYRo9oLDlbHk4tcaffRdVTWjTiK4DEXzpNVWoRli7cMBdyhtqvR2A6hqDpR7grP4voCXU+j7MV5Z/wcH63cwxPJC3y6fCfrdhIXkaP6AnNulpwUhF2U3ARzvSxlI8qgWr01rZkKBQLUC8IAw9Ea6704140+jiSWcQl2iicaE3QdlW8u7eLf7nyRua0Mw+kam2mBUEXAkwVk06c5IiGZEFt2+Py1I7A7uE4/dfk2BMHH29Txkg7vL75OUW5wyRjijeYIr1QmOJRcoW6HODq6hOnJjIe2qJgRTtTGieS61Loh+vvq2L7EdypTTETLbNmxW/tbRXBZsoLUrL3JEnmpjYXIsp3B80VCKzKS4eOEgjGxZAYeXFfzkdtBuAGSjy/5dPoDgZQd3T5otH3+3+z9eZQkh1nmC/9ij4zc19r3rt43LS11txbLsiRblhewjbFsvGADY2CYGRiGbZjLDAOYGRjGDBg8gDE2GHuMjRcsydq3bkmt3veqru7al6zKyn2LjPX+Edklwz3ffOa75/vj+tw4p4+OujOzsrKi4o33fZ/n9wh+EI4gdJXNN4uqp0A7IyD44OgERVsKCqxj+IiugOB8TxH+nvHw6/Ux9ulLSPj8WPoVru/LMn1uGF+E+WqKUiWAzvTHarQdhaXlNIpW/b5r1f8ty1AikWD79u1cv36dBx98EMuyqFQq/6jbXV9f39oB9/b28vrrr/+j17ipbv7ex/xTxfP6+jqxWOx/W9g1TUPT/q8GZXlV47ps0BhQ0fMy16VeHjh4hV/rfZL3Op+gMpdkbM8q7+k/y63qJp8u3s3lat/W8+faGfbn1nhlMYYbgp++/xnuNG6gC1Al6G4kwSOtNGksx2j48G+aP8qPTp6h7ik8awbpMrf3BNF0S3aqyxf2KTsGF+oD/Hj/cSbVDf48dDeVUoSY3tnCqf3rA88x287yuOCyZiV4Nr8D2xPpMRroso3lSuQiDRqWxq5Ynrar8Ntz7+DRgeBzHlU2SYhtJAE+v/OveeexX8JV4ZY7ZlmoJSkuJMGDYrjNieYEb41eRBFcXmGSfdoqvz75GAouNhIeIjesHJNaIPuf6vTRK1dJSQ1UwWVSy1NxwwwpRcKCxcOZS0iChy7YfL1yO8c2JlieznHSGEOqyrhxl/7BEl/buI3d+xa5WO4nrNoc6V3gxeUJdiQ2OF8aYtfYKuWFJPsPzHNltZdXGGdw+0Zwwd++xHS1h4v1QdquwmRPnoTYZs1K0GxrPLO0g8ORG5i+wjYtOK9ankJUbPMX+Xv5aO9xFNzADoXAO0cu8fUbB7m60UMu1mCmnuNytQ/PF3hifQ8dR+YXx59EFVwqnorpK5i+0B0rBzcyNiKvN8d5b+Ikx9vbeDA8RUqEihvGAz537SiT6QLvHjyPKrj8beFOQpLNT2df4IV2PzmpzsXOIKPKJju7gqF5J8m4XOKQvojrC1yxepnp9DLT7sFFZLUd59cGHuey1Y/pKTyQuoKIR0JqIuHxl6t3c6BnhX3RFXbrK8xbWUxfodg0SEgtrnQGqNk6S2aSmqUz3eohIgUQhfFQgQOhBY7Gb/DnN+7igcGAD97xJIZDZU5Ux9goR8kZdfr7yhiKzdx6mqNjs7w2P4Zd0UjJTf5y8W7+3fh3SYmbXUW/j0ug7s+7MWxPRhJNlq0Ui/UkFSvEnal5zjpDvCt+hnsjU/RLLZqeyM9mn+eVtVH2pvLcFp1HEVzW7Timr/DO8CUqusoXnaNE9A6HYnNk1Tqj+ibvyZzhqdpeRvXA7z3fSFFsGvzUtmO8NTyN6Yu8OXKFM+1RxtUN/mTlfraH15lp93B7YpGOHwjRak6IjNrkS5tH2B9Zpu6pFN0IV80BRtRNVMHjo+lX+N2VhymaYZquynCquGUhm/eyFJwoh0M3eCR5nkvtIXqVKmHB4qC2SsnVeaK+n/OLgwxkKwxHy6x24jyUuMyCleFCdQDLldhoRAhrFn987T4GklW2RTeZvqUfe0ZBKwdeVWPDQ60HopbkEwZ/J96CVdIDC6Ej0LujwE+MHqfpaczbGca1dY57E6xUg+lVTygQcJYtg+PtCfbGVkkqTfLNGKOxEgvtNAeji+yNr1KwIowoJTbt6BY8Y66VoemqPJi6Euyv7TQXWkNcKffQ7ndwwhLGmoATAqUJzf6gk8UMRs2uFhRJgJ5TNr4oUNol4ykCUicomq72PRQqPxgvi4BggRTQXYNdcUcICq4Nesnf6o59KVBAC36QO237ElJ3IvF/jPwDP1X9MXTFYThWptlRg7CHlR70kBXYnMTvP9rv/1bRbTQa3Lhxgw9/+MPcdtttKIrCs88+y3vf+14ApqenWVxc5MiRIwAcOXKE3/7t32ZjY4NcLgfA008/TSwWY/fu3VuPefzxx//R13n66ae3XuOfewQ/BIF6Ww92HJJPj1ZDF+DHJ17jUm8/T5/YTzl3DUUQ+EjyVdykwKOnP8FgosrFYh/vHz5D44DGtUKWo8YM43KLiieSkmxEAhXhQjsNroCca9NZjjDTn2PRSPLN/EF+d+zv+ULxKLNWlgfDV8i7MTwEFlopziwMk1Jb3JpbxXVFtLDF4nQPE7tXuXptgOVqnPpmmF0Tq8y8PoK6rUbMMNlshwkpdlC8zRAfGDnNdKuH11ZHSRptvrB0hLQeqJLfkzlFVNzEECB2ZIP15SRRuUNcM1n3QEgEaLh/lTqFi4/p+7wjcpmoKNAjFTlvxSg4MQbkMv16mZanYSNxUF9kxUmiizZZoRZQfqRgV3vaHGWm3cNXVg8xGSvw3au7EYoqfsImlanTM9HA9iSuL+YoRw3uGb7BkdgNzjWHuVjuR5FcylaIB/ZcJaU2mYr0UemEsOsqC9Ucyf4q5eU4lVaI+4evcSC8xNOl3Ux1+shLwcXiPxx4nGUrxWx3l2b6Ci4iM51eDLHDiFHiuepu3p44z4qdpOoYZOQGbx25SsdTOL46huVKjMVKvDIzTjhm0qyGuNo/gOkpFKwoI6FNDCEA8NuCxTlzmKl2H3dFZ/j42Y/xyNhlElGQEBhVNrF9+L19X+dnjv0YY+Ei/UoF01XYE1ljxY0zqmxuCYcUwUEUfOqeSliw8AjUrR1fYrea509rOxjSS1Qdg3LH4EJngKl2Py4iUclEE22+XTiI5wvsja2iiC79SoWKG+Z+Y5oXW5NoskvFNditrXAuMowmOhTlMCHJ5nK1D1n0Am2Bq7PYTtEXrXOuNMih9AKK4FK0w5zND2LXVLx+EdcTOZhcZrMR5tTKMO/ecYGvnbuNQbVIoR6mV6px0cqxT93A9IUtiEpabPJA9BJTnT7WzDgtS6E3XKPjBfS1X5r5EQYjFf5l77MYok1UcPjsvr9h1sqxZKcwRIuU3KDu6ZzuDLBTXee37v17nivvouWpzLfSXKn18TMDzzGhb7BopYlIJp4vMJoo8fbINCVXISXZhOlwf/gaUcHnf4x9nSkryYzUy6HQLMeaO1jspEgoLUTB5+mlHSh9HmUnzEI7zVhok6jUZsZO0yvV+Nm+Z3midoCperAymzb7yCh1Zto9rLbjrFkJUnITQ+qm1wgepi9xzhzG9UU+d+QLXLN6eVv4Gi+0RnmxtoNX82MczK7w3Mx2vI6E0JbwFY++7TWaroqRaeHPxWnnAq9qdNkLaE+ej152iTwXpjEIH3jXcd4bP805c5AbnR7iUpvpVg+OJ5FRm+zIbHBbfJHZdobRUJHFdor3ZM+QkhoU3BjvGzrD1WYft0QW2XSirJlxpio5FtSASX9fcpo+pUxcanOxMUBablBwo+iiRcGKsraRAJEgr/y6RKsXYgs+tXHwEHBDPmpFQDIDOhVCoE62osH3dbOjlVtB0fTkoPACW24VT+nap7SAtOdpPlI7GEt3EgKiC3oxEGeFNoJYwJBkYfrKlmZl0Unx/vGzfGn6EHk5htlWWRbi+G4QEwiQjTa5/n3WpH9W0f3FX/xF3vnOdzIyMsLq6iq/8Ru/gSRJPProo8TjcT7xiU/wC7/wC6RSKWKxGD/3cz/HkSNHOHz4MAAPPfQQu3fv5sMf/jD/9b/+V/L5PL/+67/Oz/7sz251qZ/85Cf54z/+Y37pl36Jj3/84zz33HN89atf5bHHHvvnvNWtw5dAaIuYN2Jg+OAKRCUTG/jh6GXuMa5hHZJ5bGUPH4qfQhdcDCH4EHuMGnOFFI/l97JUSBI2OuxQ2ly3QxiijYKH6UNOqfH5Z+5jZN8aIdlmUUuy3o7yaxd/mO2ZDX5z6R00bI23j5znG7VbuVzrY7GWJKm38VyB/eElnmtt45dve5L/+vi78KMuIj7qpkyzGYeQx8xaDl/yaZVDtBsah7fNcXt8gbjU2hLZvCk8xUsL21hYzCCYEvOGSyzVJCTZfNOT+c2+J/mFbU8T3t7hX770YxzZcYNQf4NP7HiVlqfS9D084KKVYbeyyXPtfu7RV5Dw+YNrb+Eze74MgCh4RIVgZ5uVakx1+hlVCtR9jSvtAS7UBzgxPY7QlJBaIjf0ATLbiqg5l0yoiSoFnNZz6wMM9JU5kpvjqcWdXC33UmwY+L7A9myBqhVioxVlOFomnmyyXEiiRC3stkJ5OY5gizSrOi8sb2MxmeIDva/zq6+8h5+87RgHjEXmrQy3G7PcsHpYsxOI+GTlGvv0Jc60RzkUmaXgxDjW2MGR8AwDSpnHKweYDK3T8jTGJwp8e3U/ANF4mx2ZDfJGjCfW9rA7mWe5laDtKsSlNitWEkO0GNM2+Mn0MUxfwrIknljYxU+ljmEIPinRYsGJ0S9Xeduey8FNV2mInxg+BgT78LBgUXQj7FSDrtz2RRJiBxGTGTvDTrVA01eYsnr5ePoYX67cyaBaRsTnTHMUx5O4PTrHmcYIx9fGONK7wKPpV5nq9FP3dM40Rrg/foWlbgxf2mhSciKc9MY5HLkR7J/lJhfrA4xHi7RdhYjUQRI89kRWmTAUvru2m4ar4XgSLy5P0OnIGJkWK/U4u9J5LpQHqBQjaJEO313YxZ07ZrncHuQzB79M3dPZo26w4MTISk0QPGadFFkpIK59fukuZNEjpNrcKGW4sDzAA9umyXSFbVNWH1HRZFLdQMJn1U4SFU1cRA6HZoGgcBXcMKNKgY/mivx9+Xb2RlcZVIukpSZpqcmD4ev8dv5Byq0Qab3Jy+0RLrSG+KlU8LPLSh5NDyQBdqplXqjvoldO80DkCs8QNAgrnQR7s2vkzSir7RgtR+VcYYBXIuN8pP8VhuQKku/zaOJ1virczpqdICoFXt0BrRzATloZjq2P89GR10hJjS5BzONSc5D9kSWavkpY7DBjx7F9ObAOdQIV+b6hVS6eHUM0BfYcmWexmmA0UmIsXeJaLIZaFfBlsCIioZKLLwYjZ08SsEdMzlaGEPEpWFE2rUAIFFfaHIrNBchVhC2B13w7TbETRhQCXvpjhX28OX2N19dG8HpFEkpAntuZ2CAk2ay2Y/zN4p0MR8vk9DoHoktkpRop0eTl9rbg2tySEWyB6A0J0fWJLEFpt4Av+V2vU9Ddig7oZZ9OQqCVE/GlN6L9bhKp1IqPmRa2RsW+sBX8FqiirWDXC0Hkny8EtcGVgv2vp4Dgd/3AokNUNLvCUJX/9PkPYe5uk0g0sT2RSNgM4iTrCog+oVzrn1WT/llFd3l5mUcffZRisUg2m+Xuu+/mtddeI5sNQsf/+3//74iiyHvf+146nQ5vfetb+ZM/+ZOt50uSxHe+8x1++qd/miNHjhAOh/noRz/Kb/7mb249ZmxsjMcee4yf//mf5w//8A8ZHBzkL/7iL/5/sgsB+LKPZAvIbej0OKB63BKa57nWeEBFkhq0XQVR8Pnw1Y/wnsFzXG32sTCXRZ+08VyJgXCFDw68zoBSRkJgh9LBxafqBXF0h0OzCD2dwKKxOEgq0aTSDnHv0A36tYC1C3CqNc5rm2OEZJtWR2VzM4rvCRyrTPK+7Clerm3HTdngCcys5BAMH88IDGnibAhXA7Eu42keYdniTeGpLps4sML819W34boCQksK9sGOQG0tyil1iIap8UfqUe6IzHJA3URoSLw2M87f3vtn1DydvBOn5QvUPYXfm30b/3Hi21xuD/In82/m48PHsByZimfgImB6auC7tYOs15O1Mf62egeK5LJRj1DbiIAjsHPvEmu1GJlIk+uLOT519O95vLSPxXqKQj3MSKpMQm2TU2s0Gjr7cmssX88hp9tcXgmyfoWIw2SigOsLGGGTvdk8lwq9aLJLq6OQCLfZm1rjocRl/svMW1ENmz8/cS9/+uYvogguFTeMRJCUM6pvkpYaFN0IGbmG10UkDqolKp5BWOxwpjTEm0anWLWT9CpVPjz0GqcboziuyGItSa2lo6s2F4r9HEyvMF3L0aNl2B7Kk5KCiDrTl2h5CvGISdNUWXJiDMk1oqLAipOkR2oEiEzFZGd0HdMLQtEH5AqmLxPrkpkAJofXeGV+nJRkkpBazNopblg57jeC3eJL+QnGYiWGI2V2G6t0vMDqcrHczz39swxrJfJOgn36EnVPD8buXULYpJrn3ww/g4jHdKefBStDj1Jlp3aD5wvbeTh9EQmP650e6q7OhdoAu6J57u25jiK4nK8OYLZVnJrKA7dd4KmZndSiIUKyjdCScDSZTl3jh3af5VZ9GUPwuW7HqHRHsT1Sg1UnupUffKY8xGopTjbeoMeoc6E0AH5AuFJFh3uy1znXHGZCL7BTXScsWrw7egHLF7ERiQoOdlfRkpWazDtJXm1M8jOZFzF9iXk7RdENc94c5tHYee6IzvGhzKv8H9d/iHPNYR6MXUIEpqwesqE1dAEkIUhM+vbcPj55+yu4PrwjepGKp1IP6STENn9WeBMrrQSzG2kkyafe0phL5/jbtcN8auQbnOkMAcHN+ZqVwPQUqm4ouFlrBc6Km2CYATWPJgQ3tht2jD3aMit2iiG5Rlps8TS7OTywwLoZZTRc5MZIGlV2eGfuPBcjg8TlNheK/YT3lJG/mUSre1tjV18MxEmhokfFlPho3ytcag9yJHYdRXC2hIiX2oMMqiVG9CIRyWSxk6ZHqXHKHeFEfYID4UWulzJ4vkhfrEZY7lCywqy1Y/SFakGIR3SduGqy3ExwvZLh6OQMEj4LTpIVK8lL8xNbIicEKO4PSHg3+fcQ+Go9NRA4+QKIto/gCrhaUEC7GjJ8GXxPQC/6mBmhy4/v/lu3CKtVH1MRQBDwFB+5+YZq2etWwU5MRK37W5Q7CR/PF3EMH7+kEe0p43gipqVgmTKZsSDL2rJkSv7/n+AYX/nKV/63/67rOp/5zGf4zGc+8//xMSMjI/+X8fE/Pe677z7Onj37z3lr/9vD0328joBakBk7usjx5na++OpdoHhke6sUNmJ88vaX+NxjD/DZM29FdECM+EzP97FtZJ2d4XXeGr5OxwdRkKh7LguOwYjc4kwniyR4eEWV8/4gvZkqSb3N+3pPbzF5v1i8i7DU4UJ5IMgElW2aVR2hpoDhcnJpmBPzozgtGbmkMHlogY4rEx9tMxHZ5OsXbiVyoEIiZDJ/qZ+7Dl7jtdURPpmDrNjiitVLVGojix7vnLzEt7z9eGUNPAHBcOiPVLn6+iRfsw6yOJziGaVNbluRUjXMuGLy3WYPdS+0dUFfWM6wOJziar2Xg+llPr90F49OnOav1u/i8kYvB3pWObs2gG3JKKpDOtJirRhntKfIT20/xrejB9hsGUwt9BGKmiwUkmAFHt2lRhLPF0hHWtzYyOB7Ao/cegFxWed6KoOveAxlKqxVYiSGW8R0k4dTF7g7PrP185yMbPDFM4cRagqtmM7qbIanQrsRZY/37T1LXGpT83RG1QIrdgoACY9Olwhm+gqxbv5l0Y2QU2o0PY2io/C+gTPYvsyQWiRvJ1i34/SoNd6/7SxFO8xsI4MseNwopXlxeYJ9uTUqjsGt+iJKFw15sdPPkFKkL1rjRidNzdNZcgL+9ISywbfrB9hmbLBbXyEsWMzbGQbkClHRRvddEt04w8cbe/gF4OjoLGcWhkmIJs/Xd3N7eBa1e1XZn14lJNnE5TaLnTQFK8IjyfPsDK2xT18i78QZkCucM4e5TV/gtvAcBSfGqBpY4aJdgda4ts6X1o9wb7LFFwp3Mbue4T8sv5uPHniNQbXEFy+/lf50lbemLzPXyXKjlSGrN3DaMoLhcGxljJ5UjZJpUG6FCPU16HQUQnFzy8/tAf1ynXk7waiyyZnOEMtWipTa4ltz+4iFTL5w6PNMWX0YYoe4up+5WhpVdNAlB0O0aDoaJ2sjnKsPcX/yKrYvcU9olrDgoQD4PnYXSHOpPcSbo1d4uTVByQ1zj3GNl1vbWWhnOKH2s27HgyD39CJ9apUhuYouwIRSwPV9JEHA8n0k4F/teh7XDzpffJ+EaHHRHGKntsojyfOc1sYAaDsK92av883l/dTbOtKoT7gr7oqJbc5Zw+TbUVYbcTp2ECPn+wLPV3ahig5ntREG1DJJpYUm2lQ8g9v0eWbsNLOdHjJqk7tj19inrfLjlz/CUKLCmzIznG8OMRnaQBNt3jN4DkVw+bP0I8imgOJ4W8EBggeS7RO7qvDZiTdxNDPLmcYISaVFRDLJO4H4cq6TZc2M8/bUBRJSi3PNYe5IzLFhxZjr5Pj45Kt89vI93DqwzHwjTVJrYXsSE0aBU5VhsvE66+0oVVPnkcHLqF1WeN6J496M/xEBFxojAW8ZTwgmk27QpTrhgCjlKUF3LnaFTzdxkF3bL54EqCC1eaPwdptloVvYBf+Nna/oCFsdstQJni944IShMQJXG708EL0EQtBUWVkXZI+XHvg93v7Sv0IUfPJudCvBy62pmMXo912PfvDZyz4QtfHaKm7K4frZIewDEsgeQkuisBZHMCX+19ytSO3gLqkzZiKUVbAFJmMF3h07x3U7Rr9cx/N9dEHgw0/8NELMQgvZPDJ+GV/2kWWXqNrh/b0n2aOtsuTE+HeX30c23MTxA1jBSiNOw9KCzb7kI7RFnKaBL/kIYqDaiygdrt7o5+EDl7jRyIDoo0gefzb5t7y9+DNUrBCf3PEyWcnC9eHzq3fxkf5XuDgzyEV3iJ888hLLnST3xa+ybic4WRvB7LN53/aL7Ayt8dsnHmH7cB7LkVh1ZBJSi3tC83ytfoCoaDI0UOQ+Y57L4UE+mTrGZ8W7+fKN22i3VXxP4EY1TW+8TqlpUL+W5D1vP87fcwu74nkWO2muzfQjhm3ETYWWKSGaItnJIn+/fitLGyk03aK9EqFncpNaS+fXX/5hRNVHlVwE1aPPqJENNejVa9RtnSdL+3gweZmsXONMe5RXNscZHyowu5BD0lw80eftuy/zvtTJ7qhR6BZXmRmvdyuZCKDiGdRdHV2wea0xwWRonZqrY/oqwJbF51ozSJ9yPJH741e4Yg5wvjpAVm8QkmzuTc/wl9eOMFPOclffLF8p30FOrQVs48oo+WaMWzNLiPjMWjnuMa4BgfDuzZErRAWbji8FKkh5jtfaI4yqm/zO/CP83PCzhAWLU9XRrdN43klj+RKPJk7yXHM7X8jfxZtS13hzfIrrnR5eKY4zFC7zaPoEpq+wZic4HJrjoLbBRSvDVLuP+4zrHNZXWHUCD/hUp49NJ8ZbI5eZt7Pcl5pm045StzUGMhXylRhnK0PY8YAosLSeZC6X5UJ1gB69juXJhOImmWgTSfQwneBy0qzpiJsqqZ1F/seur9AjtXm8uYt3R65i+hJ5J868neVwaBbbl3hibQ9Jo81Hh18lJZl8t7iXTw1+mz29eZYyCb5b3YfjSaxZcRJKi00rQFY+U96N2FVBz3WyfCJ5Yqsovtzazmw7w5KZYjxU4Eqjn+utHBeK/UwmCkybfZypDrFhRNlnLDPXydLyZVouJEQLl+B1dEHg08XDtF2F7WqeVBfSoQgekuBx0Rxit77CRxIneHF9Ekn0mG+nqbV0kuE2Cj771DxDcokn6/v4SPo4/3H+Xciix/pKDEIuuAKvMcpYpkhCaQciJLmB3Q1luOFlWbWTtFyNhxIXudQe4m/WDhPVOvSE6nw3v5tdiXVKTjgAcrTHqDoRGpM2SkNGsgRENwBmOHoQCqDUfDYbYQqxKP1ahWvNHFm1AYAo+HQ8mR6txulmcA42XY2sHLDBv7Z0K/vTq4xmSizUA8rcD/Wc5breQ0apcyQ1u9UthlWLW4x51K4NquBEmW+lOToyx4v5PVsdqeB2C6XbTTnrFktXBVf1gYAmJbq8AbygW3Dpcpu9AIghN4MCKnT3wPjB/lZuB/ArTw0eL9rB64t2UMgRwEk6vD19Yev37oo5yAO3XKbT/UI9ep2FchK7otM4GyFe8VEaPpuT379n6Ae+6HpxB6UQwe/t0J+pskqKqNLhQ7ef4IX8JC1LYW92jbsT1/lm9GAgBEktM1PPstGKcqXcywvh7dxnXMP1Beq+x+ONHUh1Ec/SMEWN70q76Bkt0Ruus96KsO7EScsN/o+r76JSCdNsa/SnqhTNMK4nkt+IgS0i2AE31O8i0ML9dQ70rDJqFDljDPHk8YPsu2WOX7r9Sb5b2MuPnP8EVklnIxLhHmOGuifxrdpBLs8M8ufuvdy5a5b7U1NMqOvcGX5jPPLR3HH2HF1jtp1hQCkjqi4z54eIjVf4d7PvYzRSIpZ5lXdELgLwXX0vTU9EIvCNVuwQzZUov/fQl9mt5vlM4c1M13Lc1T/HZiaI81paSjMZLzDbyJAaqFC5kcJNOewZX6HW0VlaSlOJhHAtkXYlgtbXIr+UQrBFUD0SkyWWp3pA9Hnl7A58xUPQXCTF49DIAq81gvDvr1+4lffuP0PbVdlIRWiuRpHTbTatMP3di8JNSIXtyzRcHRGfiNShRwkKqiF2An+1bWDrEi+V93J7fJ6E1KLpqWTlGotimsV2ih/PvYyKyz3GNYaUEl/J38Gyo2J7Etlog2LTIG/GKJph5tfTSLJLZzNEaqjCcivBB3pf31IgG6KD6UtEBZuWL6MIHk829mB351vDSomhcIVXG5MogktGa/Dawiimr6ALGjVXx/ZF/ujqfeRiDb65dpA3ZWe41sxxd/oGd4av0/SDhKd3RM+z5CSYtzJMann2GCtYvggEqM1ZK8eanWBPaBmASTXPmfYoKbmB6Sq8u/88rxtj/FD2DL995e04xRD7985zsjiCIPjMVLOUWiHGM0U2moGFomFqDCfLDG2bZzqR4892/w0Zyabuicy2s5xRiuxUC6TlBqanEhYcnintZn9qhcuVPkxf4eXWBIcTs5y3eomKbXTB5r7YFF/ZuIOQpJJSAl+kiE9KaSIKPq/WJrhU6iMpN+l4Cj1KleOV4HVsXyIj1+jTIjwUu0RMPsB3buxlcFuFxVqSCyv9TO5f54X8JGNagfPNId6XOklWbKELHuDz7Np23tZ/dYsUpQuB5mKuk+VI+DoJ0WTKzjAWK3Kh0MfCxgSG0eGnRl9CEkABUqKF7UsMym3Go0UqVojVSAJB9NGiNmHdIqM3uMVY4KrZz0x9GBGff6jvY3t8g+u1LJrkcPvQLP1qmQGjQt3Wmaul2ZFYp+PK1BydimegCw5zVjQoWqHAo4sNlQmR8KqP6gXCqtqNBKfkIR7ob3FrbJEXNncwV05xuH+e/ZFlNuwYticx30qz3EhwRzQoporksstYIyRajOpF/mr2TnaqaxzSF/hy5Q4eX9zNYLzKgFHlA5nX0AUbF5HX2hNcrA9wvZJBldzArul3mfhSMDoWPGFrJ4sAiMGe1dWCQunbAl74H3tub46oPQ1EN4g3dDXhDQVzt3P25OB5+EHhDXjP3SAFqdsFNyV+f+pBdmY2GAqVKVgRzq8P0JpKwJ1w9b/vJV13SQs+ktnBlwTwfHqKLnPfZ036gS+624bW6css88OZMzQ9FW9UZK6TxRAt7uudoWIb/HT2BQzBZc/IMv1SizOdfgbVMp9evJ9YtE1aanDaHML0VW7T53kwPM0fjDZhzQjSPBQniHjSTH5k6Cw9SpVPLzxIuRjlwd1XePalAyyuGCDCw3ed5cnqLvxNdcsf7Cctctka9/Te4GOpVzB9iXccPsej3/1pJiIFbg3N81+uP4xYkzGG60S1DktOgs+t3sPH+o7zc0eeZZuWRxK8YPnvaVv7wajUZsVOsmCmuSM6hy7Y/M3hz/HvZ3+YhXP9VJUE0j6PT5sP8sG+10iILX5z5FvMOik6nsyJ6hgnl0cgalP3dL5RuyXYY4bqjIcKrLZjfOvErWRHyrwwM8nP3vIin127B7mvhWNLDBgVZCHGnbfOs9ROsiuS5wsv30N/sgrJKiHZRhY8LpwfRbQEwpNVapthtFgHWfa4a3CWj2SO80TtADVHh4bMsfVxhqIVfmX3k/xV7Cjv7TvDphOl4IZIiYEidarTx3Z1naTc3Opes3IN1xfZqRaoewr3JaZYtRP0aIHyeq6TZVgtkpBauL7IA8krxIQORa8L3JdaiIKH44mcXh8kHW5hqDb7oys0DC0Yt/oi4oDPialxfnjkApPq+htjKF8gKjhUvQAoD7BkptBEh4zS4GR7jEdS54mKbWY6vRwwFjnR2saklqdXqpGSGrgI/Myul9iwY1ys9rNpR7g7cZ2Y2CbvJBhVCiTEDlNWD6avcDg0y6DsMCpXWXEjzFo5XF+k6hok5Sa2LyPic7I9TsPVGVE3eSB7lbITZjKywcnGOLV8lORQJQBHrPQhih7v33mWxxb2UDZDbG5GCcdM7hqc5Wq5l1Lb4Pf3/h2i4LPshDB9hTfFpnixthMvJuL6Ilm5RtOXeTh9kbDYYTxUICvXML0gM/l4fZJH4ue76VweS/UEY7ESdjccfW90lQ07SqFjcDC6TEw2WbMSvDl6lZqno4oOo+om+9Q836rv50PJEzze2MuhyCzJHS3OVIewHQm7pXKqNooPfH7hKDHNpBQP+M4FT2NUtvjTnX9LzddQBI+KYzAkV2n5MneEbzCulFhyYjxX3c37MidZa72FjNEiX49ym75EyVVYdJLkpDrb9HWea43ScWUGQhVuHVukV6/Tq1VxfZGWp1JwYgyrRapOiJxS56XZbSzmgxVJLNbmy5uBKPX1lWHaTY14vMWzhZ3cMTrPzkiVabMPTbRJyC2SvTWqzSTtrEB8RkCrBmPU8jYZNwSRJYHNTBRxwGentsYZdZiBeJUjsRv0ylUuNwfYH16i5oQYzRU50xhhvpmmbSscr0wQliz+anUb5WKUn738KB8YO82Xzt7BXTtuMBwq0adW0QUbXXBwEThfH6LUCVNphLA2DAQp4EwDWwtaX/SDwnuTle8KQbMqBkVTqQEa3RuKYAd8c7frSW+olfWiTzsr4MkgBfdOgS3IfKPLxRbeSChyg+dLHYHmXJxTKzFOATgC6XMCqVWb+575XUL+G2/35h9kMQB5fJ/HD3zR9RB4V+Ysh/TVIHrNDyw+I+omhtjhs8v3oeQ8oqLAiNBCAg5qq3x5/Q4EAR4anmJSXWfK6sPzgrFSxVO5a3SOF0q7iPQ1SIVavH/0NABxqcVcJ0tUMRkbLPD8bJBGItoCxo4K353ZhaK4WIq/RTHpyVXZn14NRpPmCFfb/RyJXOe2fbOIgs9HT308ODkFyMUazM70Eh03uTc9g+3LjKibSN05jYiHKgRYwLqnI+GjizZR2aRXqaAIDjfsHL8w+hT/au1RxLzO9PQA0b46f2rdR1pvMhHZ5PnVSVKhFhUzhK7aJCIt/tPxdyE0JfYeWOD1xWHef9vriGmPs+IYhfU4su7w98sHsdvBDk+syjy/fJCH3nKGAa3MztAaF1uD+IaLIrqMREqEJJvJ0DoX3TE8w+NNg9dRhlzWOzFCks2lUh8njG08HDvPj5/4cYjZDESqHE3e4IXKTn6k/zQ7tdWAaYyIR/Az2qOtIuETFdss2Sl65Sp5O4Eu2pRcHReBqNgmKuo8X9tByQ6zM5wnKgW4yzvCN8hJ9a1gh+udXr5w/U7MjoLrSGRTNebW06iqQ0apc8BYYL8R4snyXu6Oz3A+NsAdxo3gPdwstIJIWPCIijaK7zHvJHkgfplvFW9lZ2iNrFyj7oUoOpEgzck1GFELXdSmh4bLV6u3AwTxbqlZxtXC1jj9ZgDDK61JbE/mHbHzPNfcyX3G9Fau7KoVWLwG1RJDSpGWp/FcawcDSpmiEKHgxFizEkAQW/jM0g4iPQ3S4RbHL08STre4d+gGjy/uRlMcqq0Qd2ybp1evsWFGSektPtZ/PFAmA4Zo43oCo0qJ03KHK+0BjoZnCAsWuuCyU10jJVqs2ElsX+ZUY4x3J89wf7iFi8CKlSQhNTFtGdOVSSotHF+i5anklIChbnoKj8TPs2in+E75IFm1zgPJKxxQ85i+SFwKXuuAvkjeiZOSG/TqdebEFEI3EGQkWub9uZOYnsKrjW24YZHdap5VR94K+0iIJjvVcoCT9AXCgsVXq7dhiBZvT5wnLFg80nMJUfD4G+sOvlg+wrviZ9ipFtAFn5S0yB8X7qNq67x4YxLPFTAiHfriNfqMKu9On2PByrBmJ5jQC9RdnWQ8+N6zkSDbeK0VQ5ccVNml7QnUaiH8ksaOves8vraXPYk8q+0YF5cH8DwBL2Gjb2go7eD71GoeckfAigropSCW5dTgcHBO6BV6tCDj+9XmNg5GFplp95BQ3gjKcDyRu3qCCUJSaXF023V+a/MRKtUwX7gWwEg2zTC7I2vcaVxHF1w8X2DeztB0VOaKKWTZwxLAV3zElogX8oKRcve4ufLl5ui5S6Si2/FqFTAzBLxm4Xue43fHxZ1gnK4XfVp93eSlLnnKl99QKwdPfINWJVlAQ8BOBiJGwRZB9gmVvOA9iAK4flf5LOCLwtb4mu+/5v7zov3+n3jMzvXw7c1bmLKSvNgeYcGJ8dTaLiquQVpqcDQ9yy/MvY9VN+g8Cp6MIcC+2CpfO/pZPpZ8hf+y8jC/8Z0f4UJziFUnTlS0uT02z9BEgcl0gYnYJodCc2TlOgf1RTasKHHVZLMRxtkI4SYclIk6+3JrSDdCuDMRBnat48sg5kwsR+LYUmDZuNgc5N7oFI+VDnB6aoyao2PoHXADclZcNdEzbfJOnF65GnS3XQAFBPSri+YgU51+VuwUIh6mpzChbzCpFCm6EaJim0mlyOTABoILWrqNZcnM3+ih5ag8vzqJ44qsVAO/ZGUzwsZ0FnyQWyIXrw7jeyJfzB/lg7HLjE6sgyswkKmwcbYHHIFUtoY+XCeyu8Qd0RtcbgywbKV4en4HgugzfaOfZ145wI8kX6dXrjK6bxW9J7hQy6LHtXKWZ67s5KG+KVwEPvzyT3D78CLbB9c5lFjgequHV5ZHGVCC7NWYaPLp5Qf51OrDzDtJTF9m3kkz18kxqm6SkFqs23FW7QQXOkOcaG3j5foOAPpCNdqugtnl8lbcQMnsInDOHCYmmpyqjhDVO4RDHfSQhS47GEaHXCzYvU2b/YiCx4BeISvX+PX9jzOplImKNlFR2CqMEOTdzjtJnqzso+Vp3BmfZa6T5VJ7iJONQJCzZgX5xMNymaho8nJrG0809nJ7eJYxbYOU3MTzxa3EGUVwmLcyHG9uxxAtxrUNpqweUlIDQ3TolZqU3AgpucFRY4ao2OZMe5SpTh+6YDNvZbhm9rLYSTGolqnYoSAAIJvnbSNXubGcRYlY9MVrPD8/iaY4CILPwd4VKp0Qs40M782e5od6zpIQW9i+iO2LmL6Ei0jF09kTWqZoh9mh1FAED13wGZFtdCGgm11uDVCywqzYSeKiTdENk5CaQZdvtIkrJnOtNGOhAoZocWf4Orv0FeJyi365zh5tlXclz7BuxbjcHmTdDREVPTadKBc7A+SkYGdZ93TyZhRdcYjG25xYHiGhtik6ESbVdT6WfIVnq7speAY9UsAWX7CyzFg5znR6ec0coeBGeaU5yZKZpOWp3LB6+NvSYe4PT/GeyFU0yeUb0/v5ZuU2vlS5AwjsX0mlheXJuHWF/lwF25aYjBU4FAvCL1LdXe66HaPlqXx87BWO9M/zzr4L3Ju7zvW1HNeLGeqNEKGoiSR7SFkTXbRZ2kjx2MkDnL08hmuLxKJtDk3OY+5uY0UFlLaP4PtIVqBgFh2f6JLLciXB/7pxK3dFryEKPn+xeDdxqU1Y7HCx0s+5yiCbVgRZ9Hg4d5kBrYLni9xmzNHyNLYNbyAIYJoK2zMb5EL17o2Vgy64WIi8WNuBKrpYHYVWo9te+uAaAbTDF0DfEIMxsRwUNsR/TFcU3KC7bfX6XSFVly/dHS/fHBF7Wlft7IBaCwr1zd3vFnnKCzpiuev28WSQ26CVILSkgC/gGy6hZSlQOHeLrKeIeIqILwu4IRFPEfAlgVbP99+//sB3unfvucb7spf57Op9PJS5gq7YHEwvs2YnuNAc4uT6MLXzaX6q9WP0huuoksM9yeuk5CY9ks0fFY9y+vVJfN3H9iT+av0ufqX/CU7VRpmMF1huJpixdf7YvJ+f7n+er1buICJ1gsBqySU5Vqa0FsdcDdPKKVsnSUTtIORM/FWdckaChszTA3vo06v83Csf5PDEHCMjBZ6Z3sm+4VUq1TBeyKUnVONCfpTSngi9ShVD6NDyAwvIDauHmNjG9mRsUULCY97OcqyyjWPTk3w6cj9mS+WF+/4HS47Bvxv5Lj9fez/1zXCwY/YErl4foHewxGYxSl+uQkSxqJfCwV1pXcYJ+cgVCQeVN6VmONNJMR4tMrqvxLGX9gb80qZEKR/nrj0zxBSTl6s7eDB5iSdL+/iNfd+h4MT4w/P3Mz6xyTlzhMfW9zG/lsbrSLy4vI22qeB7Ir9451MADClFfufwN8jKNZ6q7aPlqbywtA3bkvnXJx7loe1XcX2BcsdAleosWWkqUpB2sje0TN4Oupu3Ri8GvkfBwkVgXs2wYGW4Mz4b7H4Fj2dKu/mx3Kss2WmansZOLYiOiyomo7ESlichCx63xxf4kwv3MhivcqExyCeyL3GitY0epcb1Ti8jakBdankyRrdTFfGZspJbwPt3J8+wQ6kybcdZ7KQpOwaj+iZV16DmhJhvpdmwY8SlNi1P5c2RK/RLLS76InUvxDYlz+vNieCGS4JxdYOSFKHpaVi+hOcrjKsbXLF62KfmsXyJXqXK5c4ALiKHQrPknQTTZh9xuYXjieww8ni+QEw2OV8fQhQ8KrbB/Id/lVse+/ds1CO4rkDHlslFGlieREZv8uM9LzMk1yi5ehBmIVoUPQ0VDxM40x5lUsuTU+uYPvRKLpogcaoTYd7KYvsSDVcjozX40sphjkcn2R9ZpuHqfLk+wIcHXg3sLOYQb41cpunLpMUOFU9lQikGFh5PxyYYP78lepkn6vu5zZjD9UVu1ZZIiB77tRVEfXkLUnO+PcwzGztZbCYJiRaPFfbx3p4zvDd1Es8XmbZjWL5ESm5wtjVCj1LDReCa2cv746e4rPeybKVJSw3eFJvGEFzWXYUPDr3OfDbDu+Jn2XCjlFyFc50hGo7GZGSD9MEmdVtjZT7DxzIv4/niVpzgHeEbvN6c4BZjgZTUYFLLM9PpZVgt8juH/p7vFA9wqRBQ8x4cnabpaKxZcd4yOcVTl3dzZPssA6EKHU9mSC+hTrhcOrkbVxMw1gMAhC8JeHrge/XOxhl+8wKnmuMogsv8UpYz4WHujM9xILmCLtqYnrIVaL9mxZmu5bg7plF3dRxPZKK3QFpvMldLcTQ3R0pqUfdUUpLJjNVLx5PRRAfXkqAWlB3RFhDtN9KErLi/1bki+vjdMbPgshX7F3SsAr7oBzAMz+9ahIQ3EJAy3a44sBE5oQC0IbSEoHn2u+NlEUJFjzYidgzscECp0ouAL2OlPFLTbreYd3fNEriKEBRbEVxFRGl3i//3efzAd7p3J2a41B7E80UuNQc5bY6y0YmSU2r8x95n+cmJY/gCrK8kmXpxnFPXR1m2kpScMAVP5suvHeb+uy5y9JZpnrm0CxGf31x6BzmtTkJpEVVNbFfi/NIgEj63hee43szynet7KRejlOeTiC0JBFiqJYOFvuqzWE7i53WUughVBcESOLYwzpfO3kE61eDEyR2sV6PohkW+GYWChrSmkVUb+GE3oBaJwW3aip3khpWj6oY43RxFEZ0uNF2m4ym8MjeO7wlYCxF8W+Rtr3+SJTvNP1RuYXd2HcEM0m58xQNXYGMqC1WFtXySmqWhRzvgCPhKEDTtRoIAiTP1YZ6t7WaqkuP4/BieHIREe5qHYIkcvzxJQm7xK71PcrU9wHCoxKqdRBdsErFgdD2hbmDIFn5N5ZN3vshEapO3bbtKJGxSdQzO1EaCHSsi//LMBzlXGqRgRWnVNaKRAC7ScWWeOrUPUfD5QO51DoXmmFA22K+tkJYa7NOXGFU2qXghPF/E7IphhuUS/UqF7WqebVqeqGhyJBEgIw/pC6SlBlHRZJ+2Slpp0qdXGTFK9OlVepQqH9v7GrOFdAAfqdxGyQkzb6Y5EFpgyU5xrtNPxQtxspNj3k5xpjNEpbsfvkdfYVyuogsCTU8j2qUjlZ0wi51gh5fRGjQcjcVOirqrk+haT27VNphQN7B9mUG1xE5tlZhoYncRhb1ylQl1g6xcIyGa5O045zr92L4cwOfVAgAFN4bpK7wjdp6VTpJDkTkkPE7Wxnh2eTtvTlylZoX43KG/AoLpWrutoiguSaONLjmcWxrkx3KvkhZbuH7A4Y524xoBNtxIABpRN8hKdd4RvcDv5N+K5fuc6kT4yuZhLrYGGVE3uT0yx4PxS2y2DCJSB9uXeDh6kXdlznJPaJ7XWxM8ELnClyt30C91KLgh+iWLqBgUeV2wKTgx3p8+QVjscG9kiulOH99c2s+ZzhCKEKBVs2JA+kqILR6IXOZ3x7/OLw49Sc0J8aHeEzQ9jaan8dn8fTzf2MWrzUkG5DKDaonni9tZ6SR5OHoB2xdRBZcXituD80xbIywK9Eg27wxf4xOpV7jQGaLuhbAQ0QWbS5V+ltpJqpZOWmuC5nKitY1rVg+rTpIhpRhgSX2RvB2n4gbny05tjXU7zlwnx4SxyTtHLtFoabRdhYTSYrGZxPNFensrhGWLjNJAFHwW2hk2zTDNwaBI+ZKwBY1w9CB3Njrvs1BMsUNfIyU3OTCxxHCoxJn6MK9vjvDU6k42OlFmWjlcBJJyi8FwhWcru4lKJtvjG9yWWmTUKHI0N8db44EgMyWZ2L5I09O4JbLIK0tj+DcZAoCn+XhycE3BD/7/Zq4u3YL7T4MEfAkS0x5SW9hSHG/tV8Xv6XaVQA1tGwKRpWBB7OpvjK5vZvI2+8VuwlBQrDvJoLgKPmRPBQUWwNVE7LCIbYg4IRFP7nKhCZ4ndfi+jx/4ovu7J97O507cQ79R5fWNYf506l52RNZJSC3qns+DxjXe//ZjCIqHHfFB9Lkrco2iHabuqaB6PJi8xKuv7QRXYLaaxnQVXlzbxsv5Cc6cncBQLGLRFkU3goTP/thKkFRkSgiOgGgFf5qmijNi4mUsWktR/IxFZzzwi3oRl75kDbGi0HEkfMUnEWnh+wIfG32VoT15EAgiBssy+/RlXmzs5PXWBCudJNfMPuzu3WTL1VjspNl0Ipi+jO8KKCEbT/XBEegsR/i1p97PT6ZfZn90he27l0EOvnexJeLFHXzVQ6gobGzG2NO7Rni4Fox+DA/BEoj11Xnhwk6eXNxJoRLBWTfwIi5u2At2IVEboSMSl9v8WeluPAR6lCofjF1mp7bKDw1dYFdqnf+28BAXV/vZvWeRBTP4bB+/toeOLfO++Bl+NHOCE60J9qirdDYMSm2D19ZGiCdaSKJPT7bKdCUHIswu5EiILepegJ4xfTnwyNpBgEBUNOmX60RFi7qnIgoBm9gQOwzLZYaUIg+Gp7pqS4F+pYzaXSy9JXaZtqtucXevmz3cYsyTjLa4VstxpjyELtq8PXE+EDSpm9TdQETU8rRuUZRYsDJUXKP7fgRs36dXriIKHpOhdS7X+mi7CnvDy4yHCshi8PXXzFgAJvFFqp7EfPd1RCEw81u+RFaucbk10N1VW0RFkymrB120KThRElKLqU4/81YAs3m9MU5CCnaF+40ldqp5ni3t4sUbk+QiDb6wfJThcDC+n/y7/0ytqYPgs6cnjyj4lEyDT+x9hajYpuIFXHS9G2ZwrtOPLrjUvRDfKR8MbrREC0NwmW+k+A+rD/M3haMAbJhRfnvqYe4JzbNP3eRfTz7HqF7kequHr5TvwPQUTF/kQ/FT/P7aQ5wojrLuqvRIbWxg1o7h+kHikoiH54t8s3Ibf7r6ZnTBoT9S49XaNp5sDXOxM4AkCFzsDJB349i+xIhskxDbvDd9CoCcXCMn1Xl7+gJjWoGCFWWx6/feGV1nn7HEhhul6StMm33clbrByfYYr7THcH2fK3acdVdh3olzpdXPk6U9fHr1IS60hpiMFRgxSizXEzw9tQtR8VjspLjYGkLZSh+qB12u3KDuhdihFNmt1nlH7Dw79DV2hVbYrud5dNdp+rUqK+0E1zZzHFsc5829M1wpBzCTuNzeOofuvPsqatXvipN8BC8YM6sND73iIp2OYvoKK50E56+OYEgWquiwUoyzMZVlQK/g+gIbVoxbjXkmjAJhucNMO4cmOjyfnyQidfiR5EkG5NoW3nPFiZGTa5yojWNbcmAN8gApEE25hrdVKH3xe1TLwhsiK196A4QB0IkLpKZdEtM+8WugNAIG89aYuYuHpDui9kVQGuBJPm4o+DvB66YRtbsF2AG5GwnYSQioFbBiwe4bP0gfEm7uc7+nyAeCL+GNPfT3cfzAF12xKoPscXJ9GNuR6IvXuDcyxW+ee4R5J44HfDL1Ko/d90eEx6t8cP9J9qgbHI1ex0XkI7e/yu9deyt33jlNz2CZuGbieiItS6E4naZ/e4FDqQXu6Z9lyU5xujnK547fi9cMoAFe3AlOHk9AkV0U1UENBZ1ANNbmwwdPcPTQFILmsjCfxZd8JMFH6AgooofZUvnzG3fxc6PP4ck+5Y6Bl7V4urqHjifTcgN/qS4GGa62L9HpWlDiUpun1nfjNRRCIQtf9xAcke7vNl8q34ku2myLbiKFHYSmjGgJ4Ah84cE/xwu5eG2ZfDPGUKLCwX2zPHDLZfy0RX0xhpYw6Y/V8FYMRAci2SYIoPS2kFWHkR15vrF0gK+euIOCFeUdkWkKrsiLjV28tLktoDKpbY6OzHFlvp/74ld5c3aaiZ5NFNll1k7xUmMnF+sD/EH+QXzVo1QOU2+EmEwXKCwl2diMsbYZRwg5CKbEv774o1Q8g7wbp+iFGe6mCFVcIxh1+hIVL+ga02KHJSsoyBZiV9krMCRX0AWXrNjq7h5deqUGP5t9ng8kX+fD2ePcHp4lbyf4+YlnUEWXihnimY2dVLp7SNcXmdTy9MtVluzUVlHsVyoUnBimDwuOwoITIit2aLg6J2rjVK0QjidxqRlMTkpWGM8X2B7e4JnGbpa6O9whtYgkeGxX87Q8jQmliO1L7Ayt4iFyzhxk3soQE01EPOY6QaHteEGUnCo4KKJLWmxS8UKkpAbH29uYLmXRdIvpG/20bIUD4SXGv/w7OLbEuyYv4nnBJWM4XOaXJ57gdmN2Kz/ZRmSguzeVBA/PFzB9hUfTr/JCfRcFN8SZTj/LpQTn1ge4MzbL9VqG5UaC7ekC/27xh/hM8W500eaoMYMmBtCP1+sTPNHYyxU7w6mVYTqOTNENowtQ9yRcBDwEnqjvZ7+2guVLTIbWGTFKvFzexl3p6zycPE/T03ihspMZO0SvXOFA18rlATfsLIrgsGSnGJJL3LBzmL5KSmogCh5znRymr5BRgu8vJ9X5w9UHeW5jB3tDS4yrBb5T2M+CE+JEcxuvtcc51tjBSysTXNzoZ7mRoOPJiILHQivFztQ6Y/2bCAJcrPTTdlV+b/ZtJMTOFo1MwuegtowHNL1AkHdAzQcaCCWAm9weniWn14mGTCKhDhGpQ93UeHVzjKoT4no7R49e5/XFYZoDAlasOxoVCELePfBkgciSx2dn70UTHd596Ax1V6dfq/LLB57igbvOU7AiVCyDa40cp1pjTDV6Ob42zneu7OMfTt2CJPi8NXoRvfveRXzW3QjHm9vpl8u8dH0bbu2meik4gpFwgH0U/qlo6qaaWfjexwf/dQwB0fbRah5qwyM+6xJdDKZvnhxU6q2iS5BKFF7zAsKV4uPobxR5V2OrYEvtYK8rWeAYwecSRAoKiJaP0vJQWj6y6SP4gRJadPwt0Mb3XZO+/4f+P/PYfmAJSfUoFiMIgs+/HXkKCZ8f2XGWmU4vLgKbroIk+Pzaru+yZsZ5zRxh2uyj7ul86al7qTV1ZqtpPjRykqOZWVZrMfpjNfbcNh+A+W2Db52+ha8t3UrFMUD2kRoSYkFFj3Zwsjb6RI2PbjuBvRrGnYtA3CYVbnGiOMpKM84d2+ZBCU6MyloMX4L1ShRhU6VWN/hPVx6hb/cGs2sZBMEn2QWuJ7texaoTYOV6lBqK6KKLNnVX58bVflA8HFdEMEXEZAdPAaklcmxjgohk8o7kOUJGBylrBt2wJ/APlVuQqzKRbJP85RxTF4YpdwxeXRmFmoIfcRlIVbl2eRA34eCmbBplAzFi86sHvks0HIydClMZ8OG7rx/gi5Xb+OC5j/P0+k5WazHma2lGjBInV4cZGyzwRGk/bwpPcf3CIPXFGH+xdg9T9R6OndnFy+eDSYNnS2SSdTZaUcSIjddU8OoKfkvG11xqpTAV1+Cpyl6umANUvBAJqUVaagaF1c6wZKfRu+b9ndoaKt3CqlRRu0X28cYepG5oelCotcBbi9ft2lrs1FaZUAp8rP84guBT72j8yLbTnGqOExY7rNpJXmlNMKSUupGCAXrREDv8t4238J3aQf6ufIhXzBFeXJ+k6agsFJJ0PBnbF/nm2gG2h/PsMPJs2hGmWz0kpBYVTyNvJ7YydT+bv49znUH+tnCEi60hblg5dNEmJ9eZ6fRysTVEVDK53ulhpRMA9keVTRTB5X9u3MeGG+XTSw9SdQLudTTUQTIcRmJldNHmY/teZbJ/g6V2kt5UjUOJoNOZVIr0S3UKbhSz+9lYvogmwA5lA01wqbs6TU8jInU41tzBL598L522gu1KnG0MMx4tki9HubTex1i4yFwzzV+t3MXPX/tRdhh5DNEiobS43Ojnm8Xb0BSHjWqEfWqZiieiCy6TSpUnG3t4fzxwEFQ8g5jY5lBkjh/NnaTjKdyqbnI4NMsjqfOcaY9xvj2C6YtERYum5/N6cxzXFxlVN+mRLBTB4UJjiFU7ya2RBc5Whpg3Mxhih7tCQarRocQ8/3n8G2SlOlm5xo/3HWPezvCO2Hmiksk2fZ13j1zk9t4ldiXzTIbWeUfiHLpksy+6wocHX2Pv4CojkRKy6LIjsU7BDfPd5i6umv2YvsJzzZ1UPJUFJ8aSG0ERYFxukBA7gQJdrvD2+Hl+a/s3ef/oaXTR5mDPCi1bYaraQ8NRuVzqxVk3+OD7n8MOC1u+VcF/o/h0kiKtZ3OIgs+zi9v59vV9nK8OsGilOb48jiT4qKJDVOnwYmGS41PbKJYiHJ6Y46791/jDHV9B+Z58PA+BvBPnRjPLB178JH5ZRbBE8IQ31L43LUGOsEWNuqlYDvjLQaEVXJAsgcQ0qGWB6JLbBWkExU90gxuIyLKPsS5s5eN+b+dsRYJ99s0xttsVWzlGoHh+w1LkI7d81FpQTJ2wsDWu9gUByfKQrGBK0EkFO3E7LPyjaMD/b8cPfNHtD1UQlnWoKzw6fopfvvQefuK1j6IILstWis+V7uKvS0e28IDPXd2B7Uv81et38eWNwxy9+zKD6Qrj8SJPb+7iixfuxGyrzL0yzPTLY8zP9PAPZw6ibsisXgu6iR0Tq7zjvlPIQ03Mhko40cZ1Rf7o2AOIloA01kAJ2fzJ5Je5dnGI+ZkeXr8xilxQcQ0PoSPiax52PhhDupsajeUYGuMpzwABAABJREFUMc3Eayh4HQm3yw1WupL8iBSobatuiJxSIy610UUbBNg1sUqrHOJth88jSYEx3tN8+iNVvrhwmB1KEUVycRoKoiMgtkW+fvEWjO0VGhthvIyFnGtTbBookktuosjQQJHZpSy+7iGFHOhI4MG2vgJX2/38xs7vUDAjhEbriBGbcH+dx1f3sCsbMFnrxTCrF3o5Vx5kf88qYcVivR3lmfpe3vOmE9x+63VOT41xa3wJX/VA9kDxUEI2PUaDhes5/KKG2BZBC854QfZRDCsY1+LTr1SC+EGptpXh2itV2aetYPoSTV8mKwU3LQoek0oBRYCmL2OIFrYvMmPlsL/nNlYVPLJih6hooQguzzT2UHQi/MTocXLhoAv6wrnDgWhJrqIILobY4ZrVS8GJMWvleK02QVat03A1bjSyHK9NokguYdni3duDfZgieIxGSnQ8hacLu8kpAfjjTHuUFSfJ+eYQT1f3cKo1Tr4Zo+REeHvqAh1PZtOOUnBivNrcxrodw5AsknIT01N4MH6Z3foyTV8lIplcq2QpODFcT+Sp/C7S4RbriylkxaFm6fz1ymFcXyQXqjO9mWOjEmFE3eTR+OlAodzdVQLogock+Ng+LDlxXmmPc9S4Qa9c59H4afaGlvAcAeqByvW9qVN4CESMDpLocaIwyo1ymlLboNFR+f3zD/BqZZyOJzNdydF2FW7tWWZ7T4EnW+PMOimMLnxC6/58826M7coGiuByoTXE46X9nKsOcsWOo+ChCA53GtdJyQ0+vfEWil4I0xe5LTzHn6zcT83V8YDtygb/Nvcs94ev0S+XmVrPca44yLod56LVi+nLHDVmSHc7UxWXXqlGzQsRFhxGlQI71TXeGr3IBzKvEZE6PBieZrdaRhJ83hc9z536PINGhfHQJoZoEZJs/rpwlM9ceRNJucmZxgjrdqz72dos2WlsH1RB4Hh7AsuXWXXitHyNFTvJeBftuT28Qb2tszO+zrn1AQrFKH7E4d7IVEDci4lYEZFOTNwSBAFoZR/bl3jz0AwhzeLslTFe2thGq6Z3xV4CDySv8InBY0RTTf7znd/i3/Y/yc/3PdUF8QR2vctWL0tOAtNXKHUMfFcIbDyW0IVadAuvB57qvWG74Y2dbDAWDv4ytCGQuuKh1V1S0w5y29/yxXZigUdW6na+xoZHZNlDsoLXuinE8tQgmUitCt2v62+xlx0jgGUggKsLW7thufWG6Ox7C6/o+Ii2T6jgbammb2b8fj/HD7x6ueHouD0Wg30lvjx7O/bpJH7S429W3sSvvPMb/Naxd2KkWpTsMJPGBmJF4dXaBEJHZL0dpd7R+NDIST599n7keR3ZD2TrWknAzPjIDQkn4uKMmlBSma7mmJ3p5RcefIrkjhZ/dfoozUqITK6GlPMQez0+tu0Ef3TyzTzT3IUfdsj2VSnOpHFSNsqGgqeAF3fxFY/+gRLrpRhOTaVlq6hFCcGVsH0JXbTpeAoNV8NFxLYlJCGIGYtIJmtWnPhglbVajES2wXYjT74vynUtg644nJgaR2hJPLD5c7CpISg+wnATTfbotBVqhUggne9IvHvfWVbaCa5u9pAKtTBkiyU3/YY/TfQRTInRaJGvX7mF1P4mj2QvUjIPU1dssuEmhmxRNMNU2iHCyTYtxSOqdJgpZ/F8yBgtPn/pCHeP3+BgbJkL8X7+5toh9kwu43giFTPE+kKKC6XR7t2xj5Cz+JkDL1G2g5QUt5v5+9PZF7B9kbwbw0Ikih9kH3/PxUHERxU86p6CJwS83itWgjOtUXTR5vHGXo4Xt/ErQ4+Tldq0PJmipwVWHTfOE+UAT9iTCIprVmvw4PM/z8GxDl/bvJ0fzb7Omp2g6hpcbvQTVUzmG2nqtsb+yDIHjEXWO1FKlkHbVrA9iWGtxHS9pwvhkDA9hcnoBlU3xHo7xgVhiI4bdMINW8P2JSZim2w6ES41+8mqDWpOoCA2PYWoZJJTauTk2pb/tuDEWLJTXG/lOJqb43JzgOVKHKuj8GN7XmelHGcgWWW5GmdnZoPFdor1VgxR9Hjz+AxPl/dytG8F1xfwvmf+t+RGSIgmdV+k4MbYo62QEB1cP7BJPVE+gKR4CCkTXXKYt7M8nLqA232NY9OThONtfN/lzQMzPDEXpPmsmXF2JddxfJGqrRNTTE7Vx3gocZErdpwlO82h0Cx1T6Hpabxuj7FdzbPfWOLJzl422xEumkMkuihOzxd5e3iOQ/oCn15/gI4n8b7MKUqmQdUNc8VKs0MpEhYFXmj3c5u2gij6bNQiPOXtZD0dYyxU4Fqzl5/reZa6p2L7MhYS29V8QB0TrS2LmI7Nx9PHafoyph+QtEw/8JS/L3WSFSeJKCSwLYmQZCPLwc30qF4kK9eCX6+uLfBmOlPZCROXWkx1+jioL6ILdmC1kpo8WdjNaKpEyTK4s2+R5xrbiaabXDSHyD68TOOLA10QhL81PjXWXXxJ4O+O3clnH/5L7o5d4w/VtzA/myPW08DzRR7KXOHr67dyZ3Ke39zzDwzJpe7vXLDWugnBWLcT2HKDr67dzmwhiDz1dB88H8ERuvF7wla363c7WnwQhC5pSgqKsy9CZNVF6vh4ioBo/+OWMrQZTKxuCqcEL8jeNdY9OomA2QzBa1oxAX3TR3QEzJQfEKmcAC95E5Iht8EJBe/RMcDI++AHP0dfArr5u1In6HZ9UcDRwbX/XzjG1pFvRYkkWuTP9gZjCgJ/lyfAb734LvpHN1mdy3BsZi+vOIGeaK0dJzNWomGpJPTAriEt68EOwPDxog52TeV9Dx/nu0u7yEUa/OTgy3xu5W6uzvchWCJf3jzMpLGBuqZgJzw2V+Lcsmuec2cn+KPCW9ATJo+t70WJWBTW48HI4SbEW/QRVRdhOYQy7PKfb/sW//7kD5HSm0y85SI3ahmuNXJktCaLzSQHE8t8deoWsokGDVOj2dTJJOsMRivsyGzw+vVRfuWO7/Lt9QOs1mKkwy3ml7IIzUCw5dcVspNFPjr2Ggf1Bf5y415emJlEjXWwGio7xtbwfIFTi8PYTYVaPcRob5Eju27w6pVteI4IPgxObrDSSuBtanzu0lG2922Q0ptU2zobjQi5SIPJWIEbZFgyE8iqQ74ZZSRe4uzCEJ4nkknWKZgRzq0PcOvAMhfW++kL1Xh9bZhaKRx0tU0JXw+YtW49CDG4IxLEui1Zac7URrgrdJ2arzGpFPly9fat2EZdcLs4xGAEZvoS806alNQgLFgkxBZvjV7E9iU+v3k3N0pp/kB6iPflTnVhGcFeql8uc1csCGGISSaX2oMcis3hMY7tSUyVenhMPsiFYj8hxWapmODI8Dy3Jxco2wa2HxTUneF1MkodOylxvLyNTSdCVmugSQ5Ztb5lF0rKTYjBSjuBJjpB7qqr4PgSPVqN6UYPsuChCB47jDz9Spkv5e/k9sQiV1r9YMCjidcpeiHyTnxLdLfPWML0VWp9Og1bo+wY3Nq/zHwtxZ19i7y2OsJkusAP951l2UrRp1b4gzMP8JbEFXrlKgkx8IynpAZDchUbEduXmFTzlNwIuutgIeL5IhU7xEf3vsa9kSlsX+LP828iLFks1lMcyizgewKNokEyV6diGzi2hOnKAeM5ZLPWirHRiPCl/Z/nL4p3Y/oKO+UCn1+/hy+37yCutfnX/U9zujnKhLrOqLLJnbFZ4kqbshPmldYk9xjXiIs2IgK64PLb/U/xtrMfx3SPsDe1xp9evYeQZvGpXd9gn1rmmtnHIW2FP7rly/zE05+gYyqU6mFOhoYJqxYvRyeZUDdISQ2igo1NEM2nEBDIFMGjRwpcBnVPpONLvDV+kY4vERVteqQGJ1oTxKUWeT/OHdEbJEZblJ0wmmiT70Ywur5IWmrQ9FVcV+CByGUkfG7YWTbcKNfMwEKUlJvokk1Ob7BhRkC2GMqV2ZFYZ7rVy2+Mf5tfUH8aOywQqXvIZlB47YiIJ0HqvEjsERNJ8BiJlpFGfYajZf7H2gM0HI23Zy9uBWXYvoQoeFtpXU1f4VhjByUnzLKVDBjOdQ3BFoO9rRBYfehCLQQ/AFwI9s3ZMl2DbbfIdS1CtWGJxA0HKywiagJqw0Nw34AL3Xws3BxHB8VQq/q0ssH+11OCEbBk+Rh5H1frpgeJPq4OcisIQbC7oivHCIRVjWGBzMXuKFoXuoEL3U7bBb3kUh+SEP8Z6X4/8OPltXN9WBcSuKqPHfUwJ803dggdEUnwQfKZuGMRJ+xjx4LdRdsKlLsJrc1Usxd1ew0n7ONFHH7mzuf55Q9+jYpjIAg+vi/w12tH2JdYZWSgSHK8hCx4/PX0HfgCJIfLyBWZa5s5/LCD0A4+9pmVHP2pGmrYYnjPGjgCbsjj6NEr7B7I86MPHWM0WkIRXEKGxYWlQc6sD/Ijg6e5Xsrw6uooV8+N8LfHjuKuGaxtJJhMF/BskY2ZDOeWBgHYP7rCpy/fT8PSULuhDEa8jR/yEAyH1GCFD46e5E+n7uXb1VspWyG29Rf44M5TfOrur/O7Y3+PJjo4mzqHds5x/+Q1Sk2DsGyxY2KVwZ4ygu4S00wWykn+89v+Dk23sV2J6UKOyXSBlqmyUEyhig6OL+L7AiHdRpcdDiUWMMIdwpqF64kcTs1haBaWJxE32rw4u419uTVCMZNQzMTXPATNA8kHD3qU6taeteWpeAhMWb2U3AjNro3G9MWtYqsLHjYiS05ia7fbKzW38jMVwWPFSZJQ2tzSu8xYuMieLux+XCkx1enjZHucYaVE3QvxamMbdVfnHuM6YcmiT6/SG6nz1LVdrK4nWCkH4qc+rUqfUmEytM65+iCmr7A3tERCaqILNhmtwaqZCAhArkxGbpCRa8y1Msy2s4xpgWL0nkQAMRgKl+nXKlQcg23h4N88BGbaOS61B/mh3FkkIchu7XgKRS/EmfYoy1agxM2pdTxE9mjLXC3mOJBY5vjaOKdXhrivd4a1doyQarNUS/KNtVs4tjHB7x97G8K6xq9/50f5l+cf5Q/yD1J0g8zVdTeCgkfRC6Pi8enFB8i7Mepe4IH+xb4n2RtaRsIj7yQ4szjEsYVxNMnh1Y0xto/kEXU32CsrJv3pKnHV5P7MNGOhTUYiJd42dJWSp/MT6WNbmcPvSJ/n2kw/p2ZH+JkLH6LiGPRLdTbcKCm5gSK4PBy9QMtTqflaENmHgNa9aL99+Aq/PPAE/VqFnbl1OrbCvJ3FBe4wbqALsEOpguLhmRKuI1Kth1haT/IHpx/gv8y9rRuNKbPkJHD94GbuTGcoIDIRrCp1wSMl2UwqZeadNG63auzSV9h0gpSaM81R3hE7x0onAcA9xjUmlQIDcpmE2CYr1fludT8rToKaH0w6Wp7G8xvb+frcQT47fQ+DRgXbk0hrTWarGQzF4mR+mNsjc0Gs4Pbg+/bkgMt8c8QseKDVfD547CcxfYUP5E7wi+NPbp1X786do+RE2HSi1L0Q83YmwHQKHhUvxJn2GKLgMaFv0HYVri71ghUU3JuHLwYRfghBwdsKne9yl28e4SURrRQUOTsG5e0ylZ1Q2ivQ6JNo9MmUtykUDsi4WkCg2hJhbX0tUGt+MB7ujq3tSGBFCq0H3OXgiwfTy5vJRI4RdLyuCnITXFWg0S9tvaYnv/E8CF5Tbv+/ne7W4RgebsZGrMiM7V5j6VQwWnGjDr9692P8r5Xb+dV7HmPTjvIr73qCr5UOcXpzkLFUiekrY5xe2YETcxHCDiQtIlGTsh3mxc3tXLk8DD5UzeAi1r5FYXGmB7Et8Fw1TMiwcGSwHBl8aK1EeOjOC9RtnX/b/yRTVh+//vx70dNtQrJNONOiWQnx8tmdiKbIxdAwqB5rYzE8T4A1DXFHk99/5a1gi6ibEoIOoiVw972XWGwkuTW+xOnWOOgubxq/zvNTO5BUl32DKyzXE6iSS6ltsK93jROVcSLxNtVamPvDU3zWuYdBtcxPjRzjotXLuLJJr+RS93xuC8+z88FV/mz+Xo4O3eC0MMiz0zuIx1uIokdPrkpMMbFtiU9dfhtWR6ZtKJhtFVnwkCQPzxNpOhqeLyAIPvFQEAb91PouxlIlslqwE11op6m1dSTBp20p9KernFwaxtAtGk2dRE+dRlPH6Z7n/236Ad49cpFBtcSGFSUk2SxYGequTlGL8EDkMl63swlGfy6eJzAilym4IRTBwfUF8m6MRTvNeVcnI9d4V/wMiWTAMb55gVTwmdTynGqO87y9C9uTyCh17g9fxRBcRkKbANRCOqW0wcp8Bkvx0HWbghVcWDXRYVCvUHdDVFwDiWCXdntkLijilQk00cH2JS63B5kwCoxom1w3e9hmbFByIqTUJrtCq93Xs5lrZylbBg1bY8Co0hdeYc1OdnfTEq9Wxlmz4mwPBerXSXWd55q72KmuUfN07uu/juuLaLJDR5E4VxlkOFwmpTU5vTrE5mI/4QWZ7Q8tstkyqFTC2FdiNDJaV01b4WIniOQLCxbH29v48MBrRMU2CbGD6UvERZs7tTwu8JcbuxBEH0VxmdtI4/kCt48sMtpbZHEjxb9Iv8RqIkpYsHimsYdbjHmiksmh0CymrzBjZ+iVq3ypfJgJfYP3HDrFeKiAhMdUu49pO8e4sknLU3jB3cWg3Mb0FL5SPMwnMi8RFW0SokDFCyYAiuDxaPwUC+00t/YtsWYlsA0YkqtIgsB092enhG3slkIyW6daMxBEn5XNBF8x7uRdmXMkpBZVT2PDjVJwoqw6UQyxg+krSF2VkOkrVFwD05couQanW2M8n9/O3tQab0tc4JXWJMutBDHZ7OJcA/JYv1JGwuOdibOc6Ar0im4QfvIF/0iAhPQFBrQyz9d2sCe+hix6uJ7IttQmE+oGF80hXN1Dq4rdFB9hy2ZDoKEk9bJG4u7AAhkWOzyaPkHN08l1BWOzVg7TU1AEFxWXJTvNgpXB9iX6lDKX24P8w8lbkJoigu5v8ZQBBAT0NQmz1wUv2PUKbpciJQYs5fCySHjdpT4oYUcDq4+ZeUO9XB+92Rj7qOU3CrXgBR3uTbeR4IHSDjpZTw0Kr6sJWBFQ6z6hDTAzAZ/ZU3x8w0duCUhWUHBvxgI6uoAVDyIBZTOgYZlJCa3i4cvBCFoyv38l1Q98p6vkWmCKiLZASLbxZJ+dh+bBEfif1+/moZ6rjCoFni9sJ+/EuVTuY/1alp8ZeJ4777+M2L0T8y0JLWQzEK/ylZePcOX8CHRHI1JHwE04pPUmQidQ4wlrOq2VCF6fSaMQxjU8okM17ogGWRQrToI3hRb41Jv/Dqsjc3V6kITR5v7dU0T762jDDcS2iNCQMR0FMx8mOllhMrWJXFJA8rHjHm7UxdV8XlkYY+FcP5+7cBTBFlFigRCop6eCU1M5NztMsRyh2tZZzSe5VsyiGDaNWgi3JfPo6U/Ql6xxqdmPCBhCIBDJuxKKwBbbeTy+yai6yd7sGrLqUFmPosoumuTykZ5XcB0Jy5LwfQFJ9JAVl4aj4XkinaZK3dHYqEXQVZu2reB6In1GjeVqnOlKjpBk8/z17XiewI7EBs22RstWsFoKldUYTkum2dIQRA86EuG4SbVq8NXrt/BiZTttL0gAcn2RqGRyvjnElNXHlNWzdbIHO0YP73vmU6tuFBGPtNTg4cglEt2RYMXTqHv6FkPWRiAhtohKJgNqmXuj09wfvorpy1S7QNeWq9F0NFZWU4QyLY6OzdIXr5FV6ySVJobUIS63EQWPqmNwILTAgdACYdEiIbXYF13Zel/DWpF+NbA9FawoKamJIrjEpTbLVoqSE8H2ZEKixVi4yNH0LDG5zXSrtxtsENrq/gGOhuawfAnTl3lH5CJR0WLVSfLOxDnWzDgJvc1wosKNQoblVoJTK8O0qiEEL4ALFJphRuJlbhldwhtvE1dNDulB8R+Qy/RKHSqewTsjV2l6GgmxQ0p0yUoWEDCLN12Fo/HrWGWdVk3H9wXCRof5aoqOI/Oju08jCT5hwQrsX504BSfGgdACFhIjco2daoF5O8NbopcpO2GeX5nkVG2UfqXMqL7Z9Q7rvNzazruSZ7lkpbnFmGdEL/In6/czZWVpej5PN3eSEt2ukFLiZ3PP8aPZ11ntxPlS9XZUwcP1fX7yxEcQZA/XFTESAZlpuKdENllnJFeiZusUnBhFN0LejXPVHOj+nidJiBZDUoMhuUVC7DDT6eV4dZKU6LBNqfGu2Fn+xehLPJI8x+nWGJ+fOczF5QFmmxkSosn/WHkL/+H0u3mpsZOwYJMQTZbMwIZ2jzFD3okyEK5y7+R1Dk/Mcby4jZhqst6JUjM1mrbKT/S+RN5J0KtU8eVAdCR295B+d4/qKQKuEhTBvyrcQ1js0PSCZafty1ue85sCwbqn82JzJxfaQ0DAnf/a+u383UuH0fMykikgWAKi9T08R+cNpW/mjEB8hsD/rwTFTG4KtHt8SjskWn3+G4CMm/+9+af7vmUTSjulQJHdhWwIXpdU1WUx31Qxb4ExugUYIDrvI7e7RVwMMnxvPufma7YzwXs2CsEb9xSBdlbE1YUgXKHs/rPYyz/wnW5PvMGKlcBTfa5cHCY8UePy9QGkpshn9nyZQbnNdxo7GI9u8kdzb2ZtPYFow5nWKPuiK7yq7EGpSriaj7sZoaB38A03+MHbImJDDDBmrsCrV7YhWwG56ebhdST0pInvgyq7PFbYx7XNHBltD7fmNig4MX5o13n+/uTthBSbTw08yUwuRMGN8Tuhh8kYTWodnaO3TmN5EicuTyCEAgCFrwbjVbmnhb0Zwk/bhA2LVkllLFfk9OoQB3pXyYsphLKCr/p0JA9B9hiMV7mYjwV3mxEbzxN5W+8VHohcZsmNoIs2f7J5Ly/nJ7gjt8jDyfPUvRAPJK9QcQ3+Ze+z9OmHqDs6T5zej5Zq89mV+9B0m2bBQAw7uJ5IT6LOaLjIvJJEjrsM6BXkPg/Lk7ha6KHW1MmXoziWTCfc4SVzHEl2iRkmr68F3W1hMRl83poXKA89Ec8RSA1UUGWXuNHGUGw8X6TtKqy3o9wWnUcUfExP4UxjJNhfamtUPI0i4hZ720UkKpqkxTaG4FL1GngIFJwYOamOIdr0y2UkfCxERF9Cwg+g+XIVCG6gluw0HU9ht77CH8w/RKlp0N9fom5qtByVwXAFRXSJiubWjq7khskodcKChY1EVDH5dvVWOp7MwegSV1t9iPhcrvSSDTWwXJmaE6TdlK0Q660oD/VNEZVMGq7GNm0DCZ/t0TVKToSSEyGn1LjS6g+sWaUR3hK7jC7a3LByVOQGK3aKNSvBF5aOkK/EMGsa9+2ZZsru4dK5UfYenOdidRAxaeFlXZoXUjSPNFmpxgmdMsjtqmMIAlNWgulOPw+Er26d+/u1JWbsLJNKgaYv43UtOoOyg6UvMTC6Sb4Yx/MEJtMFdkbX2Rta5mRjjIudPgbkMrvVIr2ZlzhtjtDyNEbk8lZmbsGJsc9Yww4t8XJsG/8i9wIbbhRFcPlG6XZCkkXHk9mtr+D6IpIQcMi3h9f5auEO0r3PbYnLNAFMP8iS3aducqD3ab5R38O/nX8v/2bwaQYyFZY3E4RCFr+995tUXIP92gr/cfFdDBoVNq3wFmyl6EToUYJzIyu9gcY0fZmoaDGp5bnQHGLWiRATOjxZ38egWkQXbP728iGcmgqiz0CoAsCHek/wi9ffz7cW97N/xyLDcpkBrcJX84fYPrzO662JrccaosXleh+q6HCtnENTHBJ6m7TUpOUHBdRYkrGN7j735qT0e4qVrQkce/wAH/jIa+SkOhYSiuBQ664JAJbsFGUnTMtVqdgGl60+LiwP4OZDiE7gvcUHuR2ohX1ZwIl6+IpHe9Anel1CsjwagyJOJPi9FnywkgEsAz8QOW0V0X9Kp+r+fXPAR60IW38n3hx/+cGO1gkJaBV/ayQsWT6iDWYiuBGQLA+pI+AYbD3PMXwkS0Ayu4XXA6X+Bo5ScIPrbqNPIrrsItr+G1/3+zh+4IvuWLSIqxus38hAxKGxHkGwBeI7SsTFDqog8FJ5OzPlLI4rksnUUXtcni9sx3YlnISDYHf9rb5AaT2GoHQDH2UHzwBR9ogZHVotDTlh4tgSTkMJZjW2iFkIIbgC5qDLufkh/JZMcqLFV2v7+fryQT4wdJp9uxa58voYxQmBXim4Iz7cM8/e8ApfXj5ESLK5sNHHtok812f6wINbds+x2Y6wspEI0plNiVYjgq97hJUO7YbGhfXAp+uFgq7cbikohk3TDqAagi1AQcPY1uR9sbNM2Rm+tnmIFy7sZN+OJcKqxQ+nTvE/1+7j1wYe532vfJJUokG9pWPWNbRIB3zolHUigx0ykSC0YHcuT1wxKZgRXs2PIQD1ssE3GwfYN7zK9EYO1xUYy5ZYqcaxGyojQ2UWSkkG0xWalkq9FmL74DoVOdpdtgjgCfieSyjSIWO0WConiBkmVVOn3tHYl15jwKgy18nS8WQcT2KjE+wcX9AnOagv0Cu2tiAOdU9BE1xUwWPGTvJCfRc/lDjdDZFwkPBRb46lBZt1N0JCDDqdYCwtcrY1AQS75f+5ch8rpTjhUIek3ma9GCfd32SllSCjNkiFGpiegkVQhPZoK6w4Ca6aA2iijecLjOqbtDyVJy7tIZOts5mPYQ9K1E2N2kYEPWmSiLRIh1qBstiMcjg1R49cpeVpW6O/A8YC81aWnFKn7Bg83HOZuhdiu7LBZaufz6/djeNJLFYTVJYSACQGqxTMCG5NJTTQQJdssEUObp/nzPkJxPE2q7UYwmtxYg/luSM8S8mDVSfJy+UghnBULnKuk+OoXsD0lW628feoW12RIanDH+74Cj916cf40Ngptml5TF+h7oa4J3aNr2zcwacGvw0EKEkXkXkrQ1RsowotLF/svqbHreom92emyUptLCTqXoiQZBGROpwojHK12suvjD4e7M2VOodDN3h/7CxPNnfwjtg5XjH72a3msX2RlGRjdtXU745e5tbQHP9l6e0cTC/zkyMvAzCpbFKSdBadJL82/J2tmMbPrL2Fg30LDGhVLEROtsfJSQ0sRBKihYvNjJ1mVC4TEi3+LH8f9yav8VR+FxG1Q7Ft4FTVQKugBBCNi+EBTjbGSKQbaLLDHy2+hfHoJlfLvSiSy7+6+gFqTR1rLYxvuNyyY543p68x3eplV2od25O4uNHH58P38LPZ53mutQPRBUcL7Ds3fayOflNNHOx31Qo0PY203MIQ7C4VLOh0FzrBKLlkh6lYIZYbCZanc0imiHjTAdTFOQpuwFi2dB9tQ6LT44ILSt2n1SPSHPT+kcf1Ju1JdNnKuf2nKEi5ISC6AasZIH3FeSNarzsSvunvVRpBZyp1/C1VtGN0I/+6kAu9GBRlJxyQqXz5Jg9aQGoH70Nu+VgREalbYCXLRy8FARLBTcL3X5N+4MfLDiLpUIvEcAUA0RTZvmeZ+wdm6PgSn68c5NzaAEOxMtXlOD8xfpz18z3cWMmyMJdFbEiICQu3qpJN1egdKBOJtwNrgy0iyh7RcIByzCTrdNoKsuKiJUxCmRaxvjpizEZIWrTmYvhtiW2Ta/zNhTtIyQ32ptY4FJrlv49+jTfdc5FnmruYd+IsOQkiUoftap73DZzhmbN7aF9LMLuWQYzYCJ7A2elRluYzCBtacBcmBezSSLZJ09aIJ1o082EE0QfVY/e+RaSQg91WmL/Uz/aJNYSEhRfyKG3E+JnrH+D3Zt/GC+d2geIxGi7ylp5pDqg1wrLFf1x8F3rIIhVq4V2LkMrWCIc6JPproHq0HIWaqXHf0HVajkpKbeIRjJkdV+Sd+89jRDqs1OPcPTzLOycv8absDH3xGoLisVRJ4DjBBexwzzzRWJtqR+e2nXP0DpQDVaPiEY6aREMdGraK64rsSq3zyOBl7uqZxfMFih2D6VoPVyu91BwNUfDp1Wu8VA4UJKYfjMwVAeKiTVgMSFXfqRzkSq2P+e6+0EVg3klS8YL9m4fADSvHvJPG9ALVtI3EAWORN0WmONsIgsdHMyXGEiUOJRcwwibHl8e5Uciwx1ih4MSISSYJqcmGFeVyZ4Av5o/yq3sep+oYaKJDWgrEPwN9ZSTRI9VTYzhapi9W48CORbKxBjG1Q9NWef7adq7M92P7ElU3HPi2Cbpo01OJim027Cg5tcZ0q4evbhzit5Yf4bHN/VxYHiCrNxAEn+hAbet3RhR8ekeKhDSLKxu9iBGbM7PD3H7wOtlknVZTwwtw3azaSSR8xtUN/mD4W+xVi2hd/nPL99mh1Gj6gaXG9iXyTpS46DLjREiJFn+690u8I3qRtNQgLTWYUDfYra7zk70v8rnyEURgVKkwoa6jCMH+cMrOUPJ03hm5BIANvDt6ge82d3VjEAMq0nw7yH5dLiW4Yg4yJLe435hGwmfWifPU5m5OtsfRRYtpOwBDuH6wt1fwaXoiQ3KLT418gwGtzDWzl6P6Arrg8WJjF2dbozxV38eKk0QRXDJaIwibQETCZ1QtbJHOvlXfz4yd5onyAb5WvY31Toz1dpRNO8pqKUbFDGE5EnqmTaqvylB/iZql86XVO6nbOkf652lZCs+++Q94+uoulq/lmJvuo7AWp1PV8UMuiD7rrSiPre8lobQQ8WnYGmZHYaaWpe4r/yd7/xkl2XXe98K/fXLl0FUdp6d7csIMBgMMBoEASBAkKIlBoiiJEmVJtCxasmm/CrZkyhYt0TJlJSr5lWhFijIVKJISI0iCBAkCRE6DyanDdO7K+eR9P+zqHsC+vhbfte4XvT5r9eru6gqnqqv2fz/P8w90I2f7/7w1zw1tsR0UEBtgqn0z/+702/l6/wCrYY7VsMBVb5wLg0naocPLrSleqOzgybN7WTk3pgDX58Y4TldcE31Y6QJ4I1vOF4L2XnDLQ6TaAtXh3FcL1c9mZ0iA2gJeCelFyM3HWC112y2p0Zbud+vnVxqA9EcFfk4MK1u2q+TIvhENmFqLMdtbUiX1FQ1NNEQMQVbQmxIESUFvVCeyBHqgZsjA9vd/yPGPvtLVkIw5HWZTdeYyI4wd7PDY3B4uzU9wYc84hoj5yK1/xl/W7yR94gKPN/cSTXj88M1P8ZFn7yJOxtAz0PsamxfL3H/XGb763E2AorvHrs7oWJWrp3fQKfnMTNRYqeYJGjZHDi9haSGnOzvI53s0mhZaKmRurcQ7bnqRw/YKq06Bv6zfwQ+PfJO3l57jN+YfZHq2xun+Tl6fPccBs01Gc9EzAaEmMVYc9UEpBoiBvk25j1MxWldJgHIJl++feoYv1m7imUZKpXUMdC6ujhG1LTUrjuHK+SnG9lbx8zopK2B+c4SpUpP0WJdSukfVSxNKnf/ePsKp7BwfOv0AYdVhMdIIMjH1jSy7ZzdZa2bJFvq8eGEWEWpsFtNcXB1jrZOhvppDT4ekUi5fX94LwL5CBVsLeaE+zaH8BmOJDleDMY6OrrExyJAwAvzYYDrfpO05VAdpcrZLd6RPFGmMpPp0PZtWL8Gh8Q0WOkV2JpRmsGgps4uz9XE0ITlmd1jsF4mlxoTT4r8sfTu35a+z11lnVO/QjJPcbK1TixM8tTFLq5vgvwX38dOzX1bM20g5Wl0Lyhy0NhgxumjEHLTXhozpAZqQfLx5klhq/PzOz/Ff11+PHxt85Pm70O0Iyw4IfIN/uv+bvPuZd/NkvIfLjTIZW7mk709vAnCpO4YmJKtejqvtMpqQVJtpdpSaNP0Ea23FJq63kyScANsMlb+3E/E3l07w7459iXGjxRl3B0Fs8ExvN73QZtNL82xlJ26gPu5Zx6PnW4zku3zlxSMcObjEpadnKRyu0eokmYtG2FlocG2zRCnXpZzpstbIstnP4PomcaAxmIyIO0obPaFbZLQettDpxBEjuuT8YASdKtNGgCMC1qMcC1GJjOZyKYj5zesP8id7Pg5APzbIax4LYZIRrUc/VqYlJbPDJzo3cdy5Tm048pg1q0waA/6qdQvfm32RGLjiF5g2WjTCFJ9vH1fylchmZ6LOvDXCvkJlez3QhaSoBSS1Nt899gKmCJnSVSs4lgJdg97Q6jKlxfSGrlffnz3NamTzO9XXbnciXm5N0XQTrBbzJDSfTS/DVztHWHOznMheV/7DlkaERidy+EbnIO3QxtAixQiWWRphEtsO8UKDfMJla+02dZU3fbY+QdZysXUVpbh9xAKZHFrMDtcALRC0CgmiWFNe4HrAjmSTs+EkO9MNZVYRpnCLUrkrucPoO0ds+xubXYmfVWQk87Esf2HfzrdNX6Ab2VzvFVhqF2i2k0R1G2LlFKWFNxJ+tsBRDPNrt7JrY3vYHRy2a52KILke09qr4RdUXq3ZEwQZOWQyg5+X2+5SYvg1GBMMRlVq0BaYu0WdRHWYgRtLWrtMpC5Ir0VDcFXg65YERk8ZYYhhWMKgrJFaixiUNFJrMV1dw88qQheGMtAI0mC1FBC7JaX1NZpyWxesHvgfjkn/6EH3LcWXKGZjvtC6GS8yiKTg9Xsv8Y3FvZSdLr80+RDfe/ZHaHYTeC0HjJj33fEQWW2AZkeIpEokkc0kmb0NYinYd3CFy3MTGF0DhGCtk8GZ6ZBNuqzWc8SrCRIzXd674xH+P89/H7Jp4aV8PviGj7Me5vj9M/fSCVXA/JX+KKeyc/zS9bey1Mzj+iafqp7g7aUX2G202IhMVsI8kadTGG/TrRdBglkxCSc9qFvEzlB0LkHGgoQZ8JsXHuC/HP0Uz7y4D80fMvdaqqUsdYk01ffK2VGmj69S6yWJIo3FlRIjpQ6VTpq1RhZ/YFI+3uHxyh7CqsPonhp3j83xfG4nAI1+Am85zSAVYTQNYlNSGaQp5nqMpzu02ikSSQ8/MAgWU6T2tnjq6i5k32B8toYXGeTNAXoyJKEHRLGGIWISms9Eok0vsLa9jUvpHuvNLGuNLJmkx4O7LxBLwaVwDA3JILbQkNhaiGOEHC2s0g4dSnaPrDFgzcuxL1NhM8jQjy02vCy90OLrTkd1FQoVzJGItX6WDy28kSjWuG/sCm/NvkhZ75ASIYetDdajFCPaQAViAM8OZrk+KFC2uuQ1n/sLF/lc5RhEgkKux658jWNZRY762uX9EAsy+T4D3+RT87ci7IhPXPxlJkdyXF8dwUl7PDB7iXPNCWQsWH55HH26TxxptDfSaseuS8JIw867hIGBPzD5jfNv4GcPf4n5QZmz9Qk6rk2nm0BKiANFyhvZ1aDWS3JTeZ3nlqbRuxqLjQLhqE+jliGRcenVE1xayLDz6BpjyQ41V4GrEJJe38Z0QvS0T/LhNF8dPcg7MufQhcBE57yf5ajVYDUoADBtrFGJhszfoT7kr6t3cKKwxBd6e5k2a1giYtLocNCsEiEwh726ffY6j7QOoyMxRcj9qcs4QjIXZPmu7Ev0pU5SRIzoqqNyZ+oKf1e/jWPpJeb7Je5OXebWXfOMGy1GNI9KZJEUIRGSj7du5ZbkAiYRmpAshXl0JDmtRoBGRoSsRzaTuocnoS8F9SjN8dR1Iqnh6SY3ZVchC19b38fBwiYH0ht0Q5sdTpM1P88Oq0Eg1RKrRh0aeXNAWvdoBQmq3RSXzDE81ySbcFlrZnGsAMuI6Acmjy7sZXqkiSFiylaHb5u+wK6PfVC1gJMRVtrH71poGeUIFjctgkDHSqnntNAsMmL3iesq3KMepQljbXtG6hVV6xeG8piBAmCvcGOW2ble4K87txJXh76JYmgoEQ81tvErZp0MO9SRYvpuAZsWKtvZKDFkMUu2K0ijD8OxOsVzEZu3agq/XgHcIn5FyMBQfqQPhDK3iFRAgdnXMHoxCIFXUKQ/py7QfTl0nVJz2iA9vM+hBjg2IEhqGH1VpTs1SZDeum/1fKWuXhOnpi7Thz7MW4fUvrXAg3/0oBtIg4Ugx1y3RKOfwA0NVudL3H/Lef7N+JfRgNqZMlEqxuhrnLz7Ijoxf7R0D7MTte3rC1vSWsyR2XGVtY5aRKJUjLRi7p2aY647wliiw4aT4bpZ4MTEEmfcHRSzPTYqCbyrWZ6fneVocom7Z+cpWx2+/6kfQzdiHh3sQ/YNilNNZkbq7E9tUgvTVAybad3DpwWRoLmYx4hRJhoC9A2bMBORHu/S79pkc31GUn2uXplA72n82+gdWKN9/PWkerN0dNgxIOyZEAnMpo4UsHBtjOJUk7hvoCVC+p6J75lEDRtpxXxq7mYKyQGl3XV+bNfj/PHC3XRdmyDQ8ddS6J5AahqxLZG6ZBCYjKa6TCRaNEsJup5Ft5pCWMoNKpMb0NUcNjbyNLtJLDPk9plF7stfpBUcp2ANMDS10HznrudpRim+0drPUq/AvtEKE4kWz6zN8GxlJx3X5nB5Ay82yBt9upFN3U+xO1MDIGu4JHWfINaZsFv0Y4teaGNrIbEUNP0EKcOn7icZs9ukDQ8NydogS9VL8dcXb2XPzRvcnVhgKcyiiZiy1kcXkvUoRyQ1qmGG/alNHqvsZSGX58JgkuogjfA1LCOk5SX4+Nwt/PnZ/4wMDaanavR8Ey8w0bo62dGOkiw1M4imSWiHvFCdZrORQTcimBpQynVp9RNk0gMaa1ncWkIR4PrGUK8s6Hds/uM3vkv9HgnMjI9lB/i+gdAkMh2SMAOa7STPLMxSyPWoFi1Stk/XS0Mo0PMxzrKFv3fAcqVAO2NTr2SZmqzTdm0sOyQMNby+SeLNdU7P7eBvSjdR1Lvc6iyxx2zQlzBmNqlFaR7u71TASsQRa5MIwXi5ybOD3fzWhdcjhOT79rzAj+Sfoz/s9blSI6XFHDSrfEOL+djiSe4YW+DB1CUCCV/pHOFfFp/ERYH4mO6zEVkcNlvMjn6VlSjNPeNXcUTMUpTGlSam8ChqPgEqU7UfWfRim5P2CqaAiggY17sshio/t6N5TA4Z7BpgC8kVb5w3p8/xR/W7eGvuRTKaTzNW76W/vHgbp47OcT0eYY+zSYTGZpDlqLPESljgSHJlSNwTZDSXftpmrZ/l1vx1zsxN8T3TL1ANMtyWmud0fyfdyGY+PcLLy1N0cjYTTouC0Uc2LfSBRpiN8LsW+BpxLBB9Hd0VWFMhS9fKZCY7ZB2PiptG8wVvLb5IRnOpBymVyuMODR/SoA2rUfo3Iu+2imp7Q8cPHJyK+nzfcKGQIIcbfU0ODS4UKIpIzYuNPhgDxQ5Orks271BBLlIDtxwTJsUNElUk6ExrWC01qxVb3KihN/S2Y9WwBT32bICX1+lMa3h5kEKncDVGSkhsSvoTguZ+jeL5iPzViOY+HasNmi9xR8SNqjxWlWyyEuOnNKyuxG4KgpQgsuW2PzUC3BGB3WDoQqUpR6/hy7Gt3f0HHP/oZ7ofOPPtPNvexVIzzy2jK0Sxhp4NCKTGaW+KTqwRmxK9p1yVnnphPx86/3rmV0sYIuatU2ewii47D63jTKphR28hh9bVIROQLvd4T/lRkoZPJ7DJWwPSjocpYr5WOUA52UM6EZET8/cXb+YXn3krGpK/eOw1xCsJvLUksmeQKPXxQwMvMniuMcPJxAKx1IiAcd1D6+jsO7xCmIkJCuE25V2Egslsm31TmzQbKa4ujOGMDIiSMf5iGsOIscb7xElFa7edADPjga6yb+Uw0m8i0yFd7pFMe7h9i9A1SE12KI636NaUTaEmJCNGl7tG5+lupAlWUuiuIMxFiEgQJ9X3ajONIWIqbpr1epZWK0lpooU0Jb3VDL2+jYwFt++bR9NiJChZERon84scSy9vR+h9onqS1SDPz4x9hbtG5hixeyx0RmhW06xt5unUUyx38vzVSycZtdocTq6yL7XJmN3mmc0ZHlvfw/KgwMutKXLGgAvNcZ5YnqUX2jy1MoMXGYRSY2eiQTey0ZAEUmOjm2Y83UFK+ELtGBrQkxZZ4RGgUY8cHmkd4k9WXsMnFm/h5fYUPzv7EH+8fi+fvXYT/cBkx95NRhLK6CIIDBJJDwJBpZ2mvpqj10gQJ2KamxmkFMSxIDXbIpHwafQSRJFG6BvsHquyUc/SqyTpDWyMTMA9N19EhtqN8iIS7JqqgiHJl7oIJyL0DNyuTdS0ELokmXVZvjyqDF0qNinLJ1vs0e477N67ztieKmGoc+B110BCPtsnjHRKo21ms3U6PQfLCLlpYg3NjElaAaJv0AqT6EKyw4CcJjCF8gq+3Zln1qxQ1vqM6QNsAYHUcETIycQcP3v4S9w2scTnlm/id6r30I8NMkKS12I0YCnM0gttbisv8WxlJx9pnuJKMMKd6StDuIWONHCEcn6KgK/29/Pnm6+hEic5449y0OyRFR6OUHIvR0i+2t9PwexxbrCDK0FhK96VjKZ8sr/Z289SMMJpf5xWrNORBqf9EicTcwQIjqcW6UmLhbDAo91DJHWPIxNrTFs1vNjgqfYeYilohQm+0jlCSvPIaAOSmnfDGlIEeJHBi81pTu5bIKn52+zqMbPFrFNlT7rKA3svcfvoIgWjT4xK5YktieaqzgVDlrDVUpf3rmcx2jr9vuIyXKmWiNIRZb3DalDgWquEU1XZulrA0IdY/SxiZfafWpPbxCDdB7uq4dQkdkOBtdFH6WuHVa7mq2zbrZ9FqO5PCxWJyfAkhifJn9PQQiWxNLrqueh9sQ3S7qhk5EJI4aIKNkgtC8zuDTDTfRXht5XuYzci0isxThVyC6q93J0w6E+oDF2pQXtWpz2jADe5GStd7jDsKNaVA2CQEvRLGmY/pjuhoQ8kZke5VIlIvCrzdzAm8fICP/WK6lbyKjLY/+74x1/pDiwSuk/G8WgFzvZcZKE9wkcGd/GmsXOIMQ+x6BBmY44fm+NN5XN8sXKEpBHQjy3ClSS7Zua5qbDGQneE2FG7MzydN81c4I+r92BoMRv9DGuNLN+x5xwJPeDRa/u4bXYRo2qqTdWaA6bkkQsHFClICNDhwIEVrteVbdri2ggy0Pgd+wHeXnqOGQakhMZPPvgQ//XsfYztrTKS6HNhaZwo0NHMiEFoslrNQ9fk5M1XeWDkAo7wWQsKfK2yn0sXpzh65DpNN0GlnUYupjAEhOmI/QdWKSe61L0k3XoSYcYkUh79WpLuWpr8VJviWJtiok/B6fPT3/w+NSP2lNOMNFDpSE0dhI7MB8yO1rmtsMjiYIQH9l7iSGqF33jsTYhEhOzr/NjRb/LhZ+7jzPoEP37wcYpGl79ZP4kjAtZ85d606WaYcFq0Q5tPL9/M85kZphMN1vpZGm6C0librOOyuDHC6kYe0Tf4evUA945cYZe9yRdrR4lijU7fppO1cfSAT14/DsCgZ/OFZ44jrZj5rs2SVeBtB16mF9pURIZ+aFFKKiKKbYeMO20WwyyzWzGBsc0Lg11cbo8ykWzj6AF3Fa5RCbM8e3YPhw4sc+HqFKWJFpEUbNSzFHM9Gq0URkbNd0tTLaobWdAkds5l0LcxTLVw+IFBOuERxxpRqLHUyKs3sxRYVki3keSJuT0YTkDQdxDpiHSpx9xSGc2KaLWUaUM6O6DdSIIGIwXFOE9MdulXlJ3mydIin3jxVkRfp5Pw6PQdLDPktsIincDebnd2BzbPr0yj65K07bPeyxJ1TVYro7zu1FnGzNbQGSkiQs1Ej1ibPDbYzT2JOYY54ENXphvVqc4G908ucLWcpRknMUVMRwpWwwwvDGYJpM4D+XMctdb5qf47uDd9kWaUYs4v04xSZLQBMRp5bZ28FqIDn1w9wVIjz89PfJEr3jhf7CWxRMSYvkQzVu3il7vTLPfz/JOJJ5ky2kTAiNbnSqD0wG/MnOHLnaO8M/csjohZDLM4ImDSGNCLNe5wVrgS5EgJn0aYpGR2CaVOJcxyrjWBlIL9qXVenz3PC/1ZDpibVOIkZa3PqtTJa4p4uVLL4ecV5OdHe6yR55I7gS5iCkaPPc4mn1q7BUuPaAYJXlibHqbhSMgHqnvRVZp9rxxhtHXCTEQkBEknIG15RCmB27ewiJnzRllvZMiFanYbpgSapwhNmicw+gKnEdMf04jNG21jpyq3NalmD7RAEtmKARw5YDeUi9OWycZ2MpCr9MAINfNN1GL6E/qrqmTdVWYUADIabiA6sZIaCbDagtY+9d4vnQlVy1kOc4FjiVOLcOrRsBKW9KYEpbMRIpJ0fUPNdC3o5yW6+wrANYdt6+EyrFrK+nZ6UGJTovvKr1kYAmmq/a0WqOcdZAV2R6i9iZQI//9IhrYPww643iuSMAIcXS1qN+1YpRdaGFrM75+5l39y09N8pPMa0CUvntvFwTs2OLs6wW/d9nE+U78FUD6qX3jyONKO1Zu7EKI3Ddqhw1cev5k4Eas4vxA+1byVU0eukUy5aEjiKRdj0UFD7UbNNYsT913i6XN7mN21Sctz8JbSDBIxU7NVap0Uj5w/yDOFnTx06x8CsOCOIGPBqdFFPv3yzRCpN+X9+y/z1YsHkAMDhOTM2iQXKmO8Y/dL3Jm6AmW4dGmK2wsLfOzSSU7uWORapsT6xVH0vM/laxMcu+05bsstsFArMujY9BsJnIKL17NobmQw0gGOGSqzi3WL2JSICZewYxILDb1hqDBqQyKA75l8nnGzxVc3DnBnSc3U0CCd7+PaFh9+7HVgSDzPZMaqoIuYe0au0I4TDCKTy61RUqaPJiRPzu1CaJJ6N0k8LphKtnD0kBjBiN1juZYn8ixIRFytlai7Sd40cZ4L1TGOj61QcdNMJlos9/PkHJd6P4HQJHfecok9qQofO3s7Qdei6qdp+gnVxrMGdAObX9z5GT6ePcnnFo/wptwZkiLifFDi6+1DPLq2FykFC9UihUyfC84EK0aB7HiHQWhi51zCSKNWVx7TldU8wlTtL9E3qLo6wohBF/iuSTLtUc50WZgfVS1+LWZnsbFtanFtpYyZd+n3bNKFPmnHo3Z6FDHuIyOBqUcURrq0uwl0PSYYmHSaSYqlDt2+QxDquLUEyXIPM+8S1hJ8+tIxpdMu+vRc5ekb6RqrXp6lSoFdozWuntnBLbde5ezaBKVsT8VNXkqhZSUHbr7O95SeZdJokREhfamY4Y6IsAVUwgymUO20LT94BcAROqpzAAMmjQ6TqBQlE0kzTvJt6bM4It4G7IlEi7LeY5/Z4i5nFVfCC55ibX+0eRt3pq4wqXf44O5PcdGf4FpQYJ+9zk+e/T6iWINDX6QWpenHFodSq0zaTZ7o7OVlY5pbk/NMGc3t5K4IjWOJJeqxgyNCMprLmO7TGRKsKpHFN7oHOeSs8j2FZ1gKRrjqjPJcZxfX6wV+cP+z6Eg0Ymbs6vZa1JEmeW3AGW+KcaNJFOiUEz3mG0WW/RFMEbHuq1ShTT/DlN1ESsH552bV561tYY4PCD3lcGfZIW6goZkxsmERjfkKlGOhWP3ZdepBirFkhwjB2c4kYSWxHb6uu1IxhaWqVGP7hlRHC9gGXsNlu7P2KnawdgOYY0PdVoSQXo3RPTUL1SIUKMWSMKEP3aKUB3P5hZjupM5gVJ1P/rKav9Zu0oehApBdVBl9IgY/peE0o+Fjiu37BfW7kJBdkHTHdRCQvxpj9mLaswaRIxiMqrxdEb/atUoL1POLHJC6quD7Y4LMdQlSqoSintp4aKFUAQnOFttbWWla/8d7+cYxXWpSd5NMplpcqo+yvlTk9NwO1tsZYikYL3SoBSkKk61tjddfvXQS/UKan37+e7nUHCPOhdyXv4xMR+gdXc0tXPXS2Zpq9RptXYUhA+WpJi+tTGHqEdc7BWJfJ8jGBNmImYPrSAOenZ9hZrbCvaNX0YVk9GAFJOzMNMin+5w6MMcP7n2WL/T285hbYtqpc9/uq3xzbTfZQh8jGbJ3doOvXjiIYYfbftJu06G3muFvrpygGSd5Xfo87zj1LAWjxy/f/Gle2pii3klx6uQlZe7iaXxl6QAAP3PkK/z3+/6IQ3tWcTs2yaxLojggjgRrl0a5uDhBPO0SpWJGi231WiQjNevRQEjBvz/1eS4OJoikxu6MClZ/3/PfBZGgs5YhrDvDLaNEbjh8ZO1uACbNJlNmnZ8Z+wqtgYMmJGv9LKYVksv0OTi6gSYkvcgiafhcXB1jvj2C37HUBgSYyLWZTLdY9fKcGFsmiHVuLVynEzjkTJcfn36UqWyb6dEGe1IVzrUnmCw12bt7nWdWdjJXHWHDy3C6OsmpkQUiBEnd580z59hn1nClxpI/wtdX91FrpOkObLyexWYty1cuH+RT544TS8FSpUAU6vQGFpoRYxgxwtWQkUD0DLSCR6owIJH20K0I6emMZTssro6QGe2q94tvUO0rf+vmIIHsG6QSPkJAr5VgOtMkc6SGYYdkCn3qm1labaXwD6sOeBp7pjfxAhPLCmlW0+jDKlvXJaXZOkHfRPR1xkZaDHo2CSeg13LYlahQzPW4ulYmzqiNasIO2Jlp4Dcc4v09RvbVFKnQrA3dnDQymqCoKcCNgW7kUI9MAgkpTbV3NaASJW60h2ONpJDkNXCEpCMNmlGSsi5pxSY64El4ff48lShFL9ZYjSxMAaecVW62V3hX7jkiqTEXFlkKiyx6Jc57U8z5o/QGNu1Kmj9Zfg1PNvfgxSbeVrkDrHtZKmGW4tCZK6MN2G102WMqxvNCUKISZVgOEzzr7uS8P85Ff4Kk5jPnjfJEfx+92OL1+fP0Iosf3P8sk1aDnN7HlSaRFHhSZ0rvYhETSJ0pQxGsdEP1JH9479PbgFv10sRSw4tVPfQzM19ix9F1oqq9fc7CiBE1C289iegaxD1DtWgrFnrNRLMiNC3msfU9PLc2zb0jV3BExKjTwRwdbDNt/awiHW2RpmJdGT+IUIFxck1l1Oq+xOoofarYStx5xaw1TILVAbsmSa/GmP0YLVLxd0gIkuIGMHvD1nMkqB/Scctg18Fq3Ghxiwi1SV+J6Y9qyi3LkLT2aEghtklVKpJIbANwZGlEppoj674kdAReXkOEEqO/tTG4kbe7xa62WxKzq+4zNhTJSwuhMyPUjLdxw8FryxrS7Krnr3sSu/Ut9Jb5/wPQ1UXMzkyD7ys9wxumLqKnA3QrpreU4cK1SZauK7u7/SMVjEzA9K4Kbzt2Gq8Y4zeVT/C/OPU1Hkxd5Vdf87fqze0rz9C47HO9V1R6NE/NBwCqC0XklTSN6wUO5De5+9BVAMozDTbbacJSwPRoA3tYeb9319f400N/wezeDUq20mD+yNg3SesuU2ad4/Ym3cjhAxNf4rWTV/jBvc/w4D7l/CNdnXAjqYDHjPmh259A2hH37LxGJ0rgiIgnN3cRS41ps8av3fQpHCvgqRf3k8/2OXH8GvfvuMzcoMxakGfa6PNto+fYvXOTXiWJu5pC1m3M8T7S1zDMkAP7V6i20kTFEDHQkXaMTIVIXfL7V+9lX2KDD5z/Dr52aT/nWhOEVUfZwaUDpBOhuZpy8xpzefHqDP/2pXcMF7s6X+oeZm+xijNkMt8+vUjG9kkaAXtTFZqeEuMnEj7Vbop3nHgeYcbodsRipUDTS/BSbYrlXp5uYNOPLPanNtiVrPJo+wALjQKlRJe07rLey7JayxFLQcrx2V+u8PT1WQa+yevSF3jencWNTfY4m1SiBJ9sn+BsbwdRLJCRIPANiqUO8z/w81h2iG7ECKGqfdMKSTiKVTpoJFQXQJckJxWoDvoWvmeSSHrcefgqc4uj2MmAY6NrCF0SdC0cM+T05Z3UagowS+kexXwXwwl44bqy3oulwB1Y3Lx3CSeh9OSi4IMTsVzPk7ACeq0E6WIfKSGdcnHbNlEssNI+yekOq8tF8vke/b6NlQy42J2g2kyrUkCTrPeyxFLQD5VTUtB0aD9f4srL0zzlzjCmx+Q1ZZe4BaYmSq6X0QJ0Aa6UZIRkOUyw23Rpxaodm9FidKATSx4bzPDsYJZxo0WM0lCDqo5vtVfYZ7aGyVAGnlSJYX1poAvYZzaYNRqcsNc5kVxAR9KMkuTSA7Ll7rZmtRUmeDB9jvPdCepBCj82+OvVk/xd5xjLfpEAnUBCUgt5or8PV6q4wIv+BHusTcpGmyPWKg+mz3Jbco5Zq4olIp7oKDlcUveohBmqYYZvdvfzQm+Wc/4kL3mTPNbfP4zxU4u0k/DZl9mkZLSphml6oSJMla0O006DgtFDFzG/tu9vMccG6D0NTY+Ju6YKXB/xkKZES6q269jRDYUcFZv+RorvnH6Zbj3JycQcGhJTROh6jJ8VhM6wutWH7GIPkpsKUBUIScy+yqndCozXXba9jc2+xG4OLRTVMkayFmF1trS4QwCVEq+gESQ0ErWI3Fx8w47RvkHi0gLlFtUbM3CqErMN/VENPwOpFXVeWjBcY4fEpsgWw0i/4UZgOKPdIkgZnmoROw1Jbj7GbtyozK2OAntjAG5xaIwxfPPqHkQJdb3ehKbcpoR6rK2kochi6NEs6E3o/0en+8qjPkhxR3KOj2zczT8ZewIOwfVBkScaBzA3TRKHm4wnOhgiQq45rK45LKVL7L1phSDSOVVWhCZPwl3OCgdOLXDu/DS7968DMJlsccYY2ozF6p8uzZjY1EiMd+mENseyKyROBZzMzvN7F1/L+ESDHekmOxN1vjf3HKaIeWoww3tnvsZBa4OHE4e42apxwKzxV61bOWFV+fHC89RjwcogzxfmD+N7JmHX5ORN13j25T2IVEix2OWjz9+JsGIevniIs6MTOLsCsrbLlcEoH774Gm6fus5YpsM/fd2TfOjRB2nkk1gzEX6s0wttfsN/HffnLjB3dRzhC/SSR9gxiZaSpPe0KaV7LDfznJy+zjdf3q8+XJ6GHEoBWp0kf3L1LtrrGcZnaiQNn32HV7i2XiZqm6BJRvbXcIyQ5cujYEgG1SRPdfdy1RxnblDmB8ae5uObJxlNdkjoAf3AxNQiHC1ASoEfKTqK7xk8XZklne8ThjoJ22e1neVgaRNDxIRSox0625mvvdAmn3BZbBW5sDlG4BvsKDXpByb3jF/j7YXn+FP7Xh45c4jL/jjH7CXGjSauNLnsj3GtX6bhJQkiHTsZsLPYoOEmAMgkVTt54FmUCh3W1/OEiYDY10mXekSRRhRp9BoJlR/mQBgJzEyfK40ywozxXYOn5neRzLoMrmfouqq6kaFGFMLiZpF0yiWd9Bh4Sq6kDR0A5hpF9pWqXDdDgkjH1COyjketlwRN0p/PIsZdElbA7v0LXNgcQwiJpik9RmM1B5qkNNnC0CJkJLATAZomGQQGvZ7DHEWmZ6pU2mkOHNrkzPO7uDCY5MHkdVypwHGrqgU4lFjBFlCPDfJaSEcKHBHiS0VWy+gDFcquCb7a20de73F/apF6rHqZjlDGFybwe7V7eFfhKXJaQNHoEww/38nhiu9KjaSIcIQKsogQzBoNfmf1DWTLXW4tXqfiZ5iyG2hI3jf5EF/qHiGQOqN2hzPdKUqWinesxxauNHBEiCMCerHFtKnY8M0oSZ00jgiYMRo86+7kTH8aTUj2JCs81dzN7mSVktlFJ2a5n2d1cJw78vMAvO/57+Jdh58lo7uMZbo8srKP5E411GwFDinDQxcxthawGWTpRg677U1eMzPHo9ePMlVsMV9JIq2YqGojcgFCgzghWVsvwKiH7BlYDZ1akIJIvea6kCR1H3cljdwbYjZ0EhU1T91iBm/JYPRAYjdfsYgOHZ70QEIPQkcBtZCKDQyCWIdBUbWFDU9i9mLVqo0k6VU1Y+2NKY9klVkL0pIEOSAeyoY0HS8/BD17aFQRQ6IRg6bhFiHWhXrM4WO/Urqse5LMUoif0dFCieHGSE3g5TQVVKArp63IUfcfJG88P6QCUaeqJENbARBWe6vCVxV0bKr5r90cvlbDTF0v+w+vX//RV7qdns3Hnr6DQ2kFkkeSK7x55DQnbr6G2NOj3Ujy5Oos41ab6WNrAMqIItY4kN/gbx87xZjZ4ver97IRWbx/5jOYBY8DuU3+8+6/40sXD3H0xDzBhE+YjomHO8/0gQZRpLHQKtKJHPan1slqA+6amufds0/ys5Nf5F2Fp4kQ9GODGJWXmRQR/WGickYT/FD+eR4dTKMjWAjyPHl+L/2NFGHLQgQam/0MODEyFniBCZ7GbbsXkb7G2rUyv/Dkd3K9UeCZzRn6jQT/afIhLi2O40oDNMhl+swma+RMl13JKl5s8FxvFzcfWkQUfXQj4tD+FRDQX8yy2U7TayR45vpOdu9dH8Z0Kcq/8DXiUOP9hz7PzYcW2axlWetl8WNdOVntaGIXXP7qpj9jeaOgqr9QgBFTMrucSl5lJqHM6m/Pz3Msu8KtmUVMPeKppVker+5hLNkmiDS+e9dpgoHJaLLD4fIGP3vTl7l7Yp6DpU1aXoJuaLPazfFthTMYWoyhxZzMzrMj3WRfocJ9O6+Rywy4qzxHpZ7lQnucz7eOc6VVRrgafzp/F804ybjR4hutg8qAX/fZkWxyz4459o1WuKM0T62hLCarlaxiFhsRlXoW3Y6IQh0zEdBtJNVmoW3jZD3yE23slE9mpEezmaLVSagKWYOoZ3B8fIU4G9Jez6g2mKuDJgl9Hdc3Kad6eH2TsXQXTY8JOja9jkPa9MglXLp1lQLkGGoWXxrpoIWCyFXyt5VuDscKODa5SredoDTRAjMmURzQ6iQIY514YDCoJ7h7xxx91yYONGwjouPaCCFpegnMjkZS83nCLXMpGOG8X6AvdVwpacawx6xgCYFJzEKYxhGSkh7QiTUyWsBhs4ojIJKSWbPCrfYKHala1NGweunEOkuRzZTd4K+ap3janea0P0I9Mjntj9CRJuf9EVqxTV/qdGKJJWI+UT3Ju8/9EFoiJAh1TC3ia9f2sebn6UiTnjS4L3WRXfYmndDhqaVZPn3pGJ+on+RXlr+dD8y/lbLRZo9ZwZUWkdRUS1jEaMSsBAViBGf605TMLjljgK0FWFpIzhhw3SvixQb90OLM2iQrXp6/XbqFoGPxkSdeQ1LzOJZX2u1Rs00rTJAxPS60xulEDv3I5pbkAm/OnOGAucmLm1PICZeEETC6qwaW8luUPcXlSIx3EU0T0wmZ3bcBMXz60jFmd21ub0ySmq/YwALCXMxgVBKkhgHuWy3b4aESe4Y/bwGb3NLgKsbzVt6tkgVJJQFKqQoahq3qCHQvHv6uipJERd6QAEVgdgVGT2lhR85HjJwPGDkXqbZzSzlmiVA9Xm84r906x60qV8X6qfu1WxFGfyhFilX7V2lx5TDYYev2w5luOHTBkur8DFexlxNVidMYVtFCnavVVoCvB8PHk5BZjuiP/Z9Kd/v4vgPPc9NInd3WJuthjlmzwt/UT+HoIbqudvmdK3k+6t2OZYWKsODpXD87wUKmzNT+Ch986U3sHavy6+6bsLSQHzv6OEtukSf6+3jgwEXSusd5Z5xUsUcQqZSdmXyDM0uT3LVnHh0V9Py11kGWegW+rXCGjAhZjZLUojTNKElSUwPhvKZxwFnDlRAhiYFTzhJ/293P65OX0Xo6sRMjfIE0JGGssXdmg52pBv987Gv8xNl38fz8ToQZo7UMYmng1jJMHW+xEWp8pHkbf/PaD9OJHSZnq6xXciRnfF7Y2MFbDr9EyehwT/Iq33Xhx7l/32UafoLLtTL2bIco0rCMiIEuCTo2834JPecjY+XMJaSO7Bs81DjKzlSdn7zzYfaabR7pz7IR5jiVvIaOIseMFLvs2VNFQzKdbPBg+hwRgruSV6hFaY4710lqHoHUWZ0rcffxy5zemGStnaXTSvA33glS+QGjTpfX5i6Q0jxerk/xwPhFnqrvImn4vHnmZW621nkkOsS41aYTO6p9b7hU/DQHipt8Y2MvB6fWed/Oz/Ox2l0cyG9Sn0qysVTgt+w3MJlqsTHIMJOoMtcd4TvHX+KLlSN87p7f43WP/Aw7x+rM/sWvoFkxSccnloK4biETEflyF0OPqXkG3sDETPtEoQYWjOU6LF4vQSTQcx7Z7ADHClj3Cry4NoWZCAh8m8JEm2YzRanYpbqUJ1HsstTIM1puK7lTYODkVURiQg8YcXqspnPIWNB0E1TXciQKA/KHa/Q9k5Tj0+wm2VWqsdnPKKvNroO5aZIebzFa6mJoEUY6QNNjBpFJLjWA1IAT5WWeXJ3lpvE1nj2/m7e9+Rm+L/c8Z/xxDpib6AK+0D3APcmrRAjGdJ9IqlktwJUgx4JfZspscJtd52qgUoCKeo9pszasANR1K7HBepjBlSbjRou3Z87y75bewo8XH2cpSiuLTr/EvlSNkWF0oCt1mrHNSljgcHqVw+lVzNmIvN7ndy+/joOTG9ybuchCUAJgI8hTNtocT1/n9qNzfLl2hJThsT894OGVg1z1xnixP7PdKRk3muT1PoHUaYqQjzVO0QySaELSCR2WowJjdod6mKIVJDBEzHong9c3WRoU+OGZp/gLcYqRRJ9r7iifuXSMOBZ8dv0YU8kWq70ci5UCPznzMAfNKpVIdVH60qDbt5kotbiwNI7YtCEXYjY1RegJbQa6jeEKgoFJa+Bw8+su89LSDn5q9mFiFCP80eo+gpwCI80dmlQkJFb7RurO/xiAsPUvia2h0YSU6J4gSA29Ajw10902rzDATwmcQIXHSwNEAGFCw24r4pQWbIGxkgptaWEzc/E2QOt+TG5evgJgldwoyAxb3LHcnuXCqzcM/+MhNdVGjw1lmrG1KWB4/jdsKIdz7Vi12PUtRrIYejX7kiA19HGOb1hAIpU15T/0+EcPun/xwp2897VPMm3WmDKaJEXIYyt7OD62wmi2y+JmEjnmEc2lCVyBeVMb0woJNi1oG5h6RFhJcGltp3J20uCu77jGifQivdjmjflz/NXG7RRzPfbmq8y3i9y6c4lmkGCi1OJia4ypZIs1L8fpzUneMnOWZpRkcRgDZooQS0R8qX6UipfmAzs/rczXEXy6c4SD9hpFvUtK8/hs9yZGD1Toe9b2LO+141dUBJjZ52evfA991yabHTCa7nJFjCJ9jUjXKDiKXvcnz70G82TEN+t7KCd6NBJJ7kxd4Yv2YXqxzX3JKwBIKbjaLvETM1/nvzTeRGc9Q36irRxt9BgZCWTfIDJj0CROzkPkVav45dokXmBwILnOjNHmuLPMhyt7eUfmNOaQZKNrMf3Qou05FK0+gdRoxgk+UT9J3U/yHaWXSWken6/fTGFHS80Ueza6ESFDjUHLYf/sOhqS53u7cLSApOmzw6rzoV3Psx6lqISKCfrDI9+kEzs8O9jFqcwcf7GiHJEWu0Wq7RR+pPORyj28s/QUgVS63bV8lt2ZGlUvxXIrx2l7mkovzWaQpTpQ1e3ctTESIwMMOySd9GhsZhBWjDPRU+5NAwvDiJWeNhTs37nGxdUx2p0ER8rrtEdtegOlWXasgM1aFivlo+sxk6N1FinSbKSQno4bGJgFl3Kqx6WlPPefvMLXl/ayo9wgbw+4tDlKxU1z+vJOiAS3HJ7nxXO7QJfsLDa4ul4mk3Kx9AjDiAhinUonRRDoCAHJww2+e+dL/P3yMeZrRSZGWiyvF6h7KarNNMmkR91PMvBMDBGTPWcycWcLX2rktT6u1FgMCpzvT1I0usyaVfoyUtpbTcXRjesRR602z3ojPDqYYClQ9pwpzeOw1cCTUIttKkMt76jepagHREMPgoQesBolWQ9zxFLjjsQcGqAL0IioRClmDOUhfdxexRGSQMJL3iTdnkPNDEkJn2mrST822WNW0JHU4iS7jRZHJ5d5pHeIi90JprMNGkGSgtnHjc2hb3SevN5nt9Eio7mMGh1caVLW29SiNF9pHWHWqdIKk3R0h5TukbACmh2Tl1cnmU40+OndX8HRfPJanz3HN/mTubtpeQ5Fu0+ll+Lu2Xn+vnYrP1J+DEeEdGKTL3WOEkc6xUSfFXcEYUqMujlkIENcDrGuW2i+wLxk05jWOR8aBE1bsbIRrId55qsjpBYVunojwwAAc0gwGmpqteBGy/aV+bQiGlaUEaBJzL5qKev+MCwgoYA7HgYKBIGSH4mh13GsQ39SRxowSIgb94UCzMSmqkilEENJ0CtQVILhxSQqyrQiNgV6KLcMsv7XxzZgg92OCTK6moW7bGtrpaYAFlTbfIsgpnsSqxsRJDUiW7WoY2MIxp56zn5K4GyRqOQ/XDL0LbeXV1ZW+MEf/EFGRkZIJBIcPXqU5557bvvvUkre//73MzExQSKR4IEHHuDKlSuvuo96vc673vUustks+XyeH/3RH6Xb7b7qOi+//DL33HMPjuMwPT3Nr/3ar32rpwqAc93iD772AP9p4S2c8XbwaH8fx8dW8CKDSieFWXShYqu2voDoUoZCuo+Y6SEiwcJSWZGmnHh79/dbZ14PwHFnkVPOKpOJFvVWim9e2Eu9k+Ll+hTPr07Tdm2abgJNSDKGS6Oa4ZbkIqt+gWv+KPusTQ5aFTL6gF5kEcYaPWkyoku+0D3Ccec6J+w69ShNJ3L4syt30vMs2o0knmsS1W0+9tSdbAwyfP7aEdYaWUwzRNNirtcL/MxtDzM9XePQwWWKVp+xnXXwNL64fpgrm2XOLk9yYnKZSpjl7Tte4kOXX89D3ZvQhST0dBZXR6iEWW4qr2HmXcYyHW4ZX2Z6rEG+1CU12gNPg1DDbdvYZoiR9dnYzFFIDvBikxiY1mN+ZvQr/F3nGH0peLi3l3fNPMv55Qka/QRfmd/P9z/3zyjrPd6YP0OM4PPVY3xo7g3EUtDuJrZb1FGgb7OV92UrXGiN8Ymzt9AIkrQ9B18aXPTLXPQmmTIauMMemSlC3pE5zVF7hUtXJjmWXFL2nlLwT3c9QcVN8/Ha7bzQnyWIdZpugq8v7kUTkqzjsdAuYhshX1k/yPJakTd+/SdJlftM5Ntc/d5f4KU3/zLZUo98vseg7RBFGkHfYiLfJj/S5eiBJS4sjxMHGrJl8eS1Xdw1sYAQEtMK6XsWoyNthJB0m0kWN4vYToBmSLRESBjq7CrXubQ4Dqbk60t7sc2AajfFUjtHGOisdHIIX5m8vDQ/DQK0ZMjlpTGigcF373qJajtFv2dvk/jK+S6Ba3Dfjqt89PLtVOpZ+vUkfqQzWm5zdbOEpsV0WwleXpvc/lxpEXQihxe8aWpRms91j/J0bw8jZo+U5jHnj3LGm6Coq+lrRoSYw1XwoFnlLmeVZ5q72GHV6cU2i2ESX2qMaB5lfUBOC6jFSQIJfani309kF7noTTJutJg0G+S0gKFBG46AMb2LKzXymkdeg2ZskNEEi36JTHrARKq93VHSRKwsJ0XMpxsnqMS2soHUBwRSox9adCNFxNs6xo0mgdR51puiH9vktf52uIIlIjqhw4XeJLqIsbQQWwvpDOfygW/wqedv5QPnv4Pfu/56/njzPhwt4O6JOcaSXYpWn73FKvflL3FrZoGX3BmeHeyiGSf4u+s3k0h6XKuOoCdDZFplaAcZSWwDmpo1RrbEz0m0jIrXnN6tNhWOiNCJSToeuqvmlmFCWcFqntKuGn1JZIpXVW9bgQFbqT8wnONGCpD1YDgn7cYYgyHjeUNuZ9G+8n7C5A097isP3YPMUqyMOgTbgCsN8HLaUN4kESHYrVhVmwlxozp9BTjfaIPL7ccGda5aJHHqKihBdyWGq1rihqssHZMbgcrzdYd+0UN7SLOvzs2pxzh1RS7TwqGeuHsDaL8Vc4xvCXQbjQZ33303pmny0EMPcf78eX7zN3+TQqGwfZ1f+7Vf43d/93f58Ic/zNNPP00qleLBBx/Edd3t67zrXe/i3LlzPPzww3zuc5/jG9/4Bu95z3u2/95ut3njG9/IzMwMzz//PL/+67/OL/7iL/KHf/iH38rpAiqfUXM1rj27kw/P3cuvP/9Gnl/fwZVGmZTjE3RsdF8x0vx8jD/ps35+lMliG31nD9ExVGLGQL0BYksSriaJpMY5bwfPeeOca04QegaaFeGtpghijSDQ2V2o84v7P8tbii8y69T4oVufpKy3udgbUxFsUievwbTR5NtHXkYTksOmy1JoMmk2OGCqXXsvtvn1F95IezNNt5WAWBA0baQZIyJBPzAZzXWJI41yuodlRBQzPX7za99O1nY5lF3ntbkL+KFOabpJtZsijgVjIy3ObE7w8Y3bWHBHGEt32WHVCKTGLXuuIyOND73wAI+/cEjpPn2botXnnTueRQjJAzOXGN9VQ5gxmZEenW6Cd9/0JKVSh6lUk8+v30QlStCRMUVN46GNI7x/+S38+fU7+YML9yArNu16CsOIcWsJvvOJn+AXzr2Np8/t4cmLezD1iG9e30U0UBF9R8fXSGfcYZqS5MvXDtB2HeJQ47b0PKvrBa57I1xwp9hvraOJGEvEZLSAsj5gMcxy0R/j6MElvtS4iaLdJ5Xw+NzmMbLWgBmnznPNnZyrjFOpZXC7yqHK0GIO5DdpuzZepDM53mBuc0QB5tZqBJTSPVzfJFvs4XVtxEBns5OmmFJdhrhrMjbaQuqS2DV4vroDXY8ZdBwGA4td2TpRqKOZMTdNrdKtJ4k6Jrlcn5mROleWxpierKMnQzIJlxOjK5yaXKSYHCCExA0MMlNtshMd5NAe8uady8iBQWakx98tHsPfTCIEXFgaR9MkQaSzZ0eFb6zs4ebxVSJXx865NLsJnnnTr3D5He/HMGJSWdXCjmNBxU3jZ5Qy4KRznRP2Kjc713lN+hK1IMW00WSftUFGG+AIgS1UNdqRiuG8HiVZjSx+ZvJLHLeXGTG6fKVzEykt3k5/ChCU9R6d2Nw21OhGDuNmk1iqPOTVKEkztpSto1RhBpaI0ZCsRzqd2OK3q3ey4uVptlLcWZwDlEFHWfNIiVDNdrOXCKS+zZbOmwM6vs3e5KaKD9SUSc5SMLI92/WHUYVTeotxXYHv0fQKt2Xm2WVvktR8upFNHGvIRETcN3jfPZ/n3x/+AmvtLN+4spdlv4gfG7xl9DQA406bZb/I+f4kc4MyVwZj/HX1Dmq1NDePreL2LeKqjbVmog+U9CVMR2ibFkEpxJ8ICHMR5ZEOVt7jvbseUUQ7IELDMcOhBaMgd0mDGMK0KiYiWzAo3zCPAF7BQL5R6d4AMvVzMKxapQ4ilJgDpdHdigrcAm2rI4ekK3U7Y6DmtdnFCLMfk6ireD4pBEFKbRytXjz0Xb4BrFIDPyO2K/Ct41WAK8T/VAGLSJluJKvD4im6EdkXJDSkruRBIlLM7K3bByl9CNqKILYF6FqkgFzdOTc2Af+A41tqL//qr/4q09PT/Nmf/dn2Zbt27dr+WUrJb//2b/Mf/sN/4G1vexsAH/3oRxkbG+Pv//7veec738mFCxf44he/yLPPPsttt90GwO/93u/x7d/+7fzGb/wGk5OTfOxjH8P3ff70T/8Uy7I4cuQIL730Eh/60IdeBc7/0CPKRBhNnc0rJTAk3ZaFPt1iLNNhdF+Xc9oUmhWRSnv0WgkeeM1pxu02p+0dnO5MY1RMIlu9wHEmZP+udVKax6JfYs3P8893Psovtd5M4BuEuYBKM81IrkdlkGJcb2OLiFmzzkvuDj7VuI2s4ZHRB+w2fNVqRfKm1CJv2L1AT8I5b5L7kwu4UhFJ/mz1buKBgZnxMcyI2ZE6l1fH0PSIYGASRjqOEfL2Qy+pc5SCgtHnTyp38f6Zz6Aj+XjzdmbzdfzYoGj3eG5lJ6vXR9B6Ot958GHyep9Hl9/Gzy28g5P7FnhpfhrdjogDjV98/SdpRSl++4X7WUiMsO5m8QKDTuBwuLDBWLJLdZDC0GJWvTy787Xt+eJPnHkXb509w73pi+gipuEmWankkS1LkRCKPTqbaeziAH8zSXtgIBy1yLqhQRTqOFmPgt1nY5DB8w2IBYVyh8ZKjr4ZQST4wPNvYdeOCvudNY7ZK9gi4ow/QUfvcsadJqO5fK1xkPeOf5X7Sxf5Rm0fodQx9JiVVo41LcNSt8BSpcDhqXUu9BwO7VzhQnWM+3ZcpRfaBIGBp8VYRgRSMJ7tsD+7yY8++yNcbZfwI2W7WBxvQFG10AeexfxKiT07KqTHumxUcmipgNjTqTYynJpd4Ju1fQSexZVGmd1jN8wUEKBnfcYzHZaaefZMb7IvW6Ho9Gn5DhU3jaWH9AOTYq7H5vwI9mhfzY0l2DklycKKOT62wmMvHUQLBZn0gEgKDC0maQbszlTp+pNoQnLq4BzPLcyQSQ+2T0PX1Ta+kBowCAw0JPqpBp9dvIkfyT9NDOwxGwA8mD+DSUxHWuwzG2ytS85w4ezEkhmjz3KY4KnBHh5MneeEvU5ZbxNJBbaB1DBFTFELWR2SClfDBGNmi0hqZHSX3WYbVwou+mUC2aEWqyhDR/NpRilFStQ8Ht/cw3t3PUJ9b4qk5vNo7+D2DHlE7/FEfx/3py4SS8FGlMARKoc3YynLxpVBnoGlqt3r/QJ6OWbZL3KycJ1ObGIOS5wRrb/tq5zRBiR1n6u98nABEjgFlz3WButhHkOP+KFjTzNqtnmsspdJu4mhRSQ1n4LRoxM5rAzyPL8yTcL2oWtSdVPItsra1Qca4UisQC0VEksTMdCQTkx2okO9leKXb/17xo0WF/0xjljruLHJRj1LSqgZrF2Tr7JtlDqYPdU2lUPZm1rUeVXluGUqsfWz4Un6o4otLDWBW1DFiVcUmAMdqx0NvYpVpWvXVUVs9lR1rMhQypQCIEipzNrIGuppDfDTGlY33p4Fx7YgtsSw4nw1uqrzk4hIIk1tO4loK9t3K8LQGqjK3gggveoRWUoPrEfqtgyJW9vH1uNsm0LL7Q3ItwK48C1Wup/5zGe47bbb+J7v+R5GR0e55ZZb+KM/+qPtv8/Pz7O+vs4DDzywfVkul+PUqVM8+eSTADz55JPk8/ltwAV44IEH0DSNp59+evs69957L5Z1o7Xz4IMPcunSJRqNxv/tuXmeR7vdftUXQJyM0FIBUSZGZoOhDQlM55vMV0Y4d22KsYkmO8frdBtJnLTHy7VJPrt4E2euTzK5o06YiomTMVEy5u7DV/n1PZ9g3Gixw6rzQOassqRLeIR1B+lrlPNd1tcK1Nop/qp5iitBiZfcHThawGPre5h26hT1LueDFHOBw8cap+jEEl0IHCG4O7HAh+t38uhgN/9h8Ts5f2Yn6JKgbTGoJLm4NI5hhgRNB9E3qFUzHMmvE8YaS/0CsRS8OXuaj939x5z3pvipy9/Hx1+8jT3pKlnTZa5VYrrQxMp5PPialzhmr/B8fxf9vo3QJM+e243sGcRNi7+89w85aK+hiZiTuxc5uzyJG5r0q0m+Mafar6cvzCCBkVSfL5y7iaaXYG2Q42J1FNsM+craAVLCZ7ObZqFa5D/e9lkm91SIMyGd9YyyQrRCpBmDryE9NXeqd1KK9esqT+pYCsJQR9gR/3Lfo2DGDLo2ejLk4NQ6Pd9ip1mnGSeoxyo3NCV87kle5rI7zusKF8loPkedJRw9xNJCMraHH+poAqrdFLquKqX7915iEJpqNhvaXGmVuWt6nsZmho2lAoFrUHa6PHT5CF+9cJD1Zpb2wKFUblPrpNhVqLN/pIJjBchIo+PZTGbbyIFOsaA8vENPJ5QaRjpAOBH1RoqTI4uUE13OrkyChPFimwvzk3QbSXakmrxQ2cGF9TGWKwXqbpIXr09Ta6fYWM1DDF7fxEn4YMVMFNoITWImAp5dnhn69sYkbR/XNZnMtql0UlxojCOl4JnFGV64Pk0mPaDVSnLTZ97P4b//RfYUa0SRxspKkTDSma8UOVjapHu+yJWgsF2dJgXcbFVJaTFLwQjDdZRAKp1uJCVJAY8OZshoPtNmnbwW04l1MprP57pHWAqzFDU1C7aE2K5GH+oc45SzwPowDUjdp85Ra5Oi7rLbqDNuNJnSW0wZDcb1Nm5sslLJc9md4KfGH+a4s8jNznVO96Z5cTDLJ5u38UJ7Jz919Xv5+YXv4j/Ov40XerM8urGXq+tlznUnyZgu7dCmF6kEq0fqBznfHuePaq9hISgxF5T4Yu8Qz7szPFbbRyXMcN6b4q3Zl/hn499gf2mTWw/N8117T5PRXPaYm9w/dYWn67PEUrAj1eSl1g72OBXWvBwLriJ5Pb8yje8aNDYzEMGly1MYHQ296OEVY8Soh+4KzOs2ek/D2dARrkanlSCdcnmis4/1MIcbm6xHaepRCuOqcqPSBwqcUqtDUwxTAa7VVuQhqQ9zZl/RYga23Z9efdmQ0QvDFrcC19RajJcVhAmNeAtAJSTqsSJgBRLdjbYr6NhUQCp1BXZBSsPLaXR26AxKgu6ETmwIjIEiV0XWVmjBsNLeJkMN78/WbpynGFbssbptmBS4RY0wpdykvLyJnzPQA7ld2W89t1eCeqISKMOPVzye1AWx/q2h7rcEunNzc/zBH/wB+/bt40tf+hI/8RM/wb/+1/+aP//zPwdgfV3JcsbGxl51u7Gxse2/ra+vMzo6+qq/G4ZBsVh81XX+7+7jlY/xPx6/8iu/Qi6X2/6anlbmAehSJbEwJLslIohgqZmnkOkzNtGk2U2wcHUMZ9Hie/a9yEy2wXv2Pk4c6KwujTC6t8aB/SuY5QFZ0+XvWsrtqRJmaMbJYQ6n2lKlyz3WqzkIBF7b5kJ7HF3EjBhdLrsTfM/MC4yZLY5am0wPw8pnnSpf7B2iEmlsROpf8s3Kbv5q5XbOXNgJmZC9Mxvb/613Hn0Or5YgUeojLWUtqImYL8wd4em5WT718i0EUuOvG6f44EtvYulamempGo9v7OY7yy+QMn0WqkVkLHhr4UW+3j/Al1cPYlohr9l/lcxYl9R4j8R4l/YQvG51FrC0kF3jVcpOF22gUyp0GEQmWDF3jc7zHeNnkJ7GlRX1/7WNCF2LafUT9KRFFGscnVxFF5J3zzzByYPzjM/UOLJ3hbun5pUMwlBuX9LXtn2yLSek5qYYTXQo5bvIQOPXXn6jkjkMDBIJn8vrZertJBe9iWHF4dOPbXrSohaluDdzkVmrQiA1Pjj/HcroAbbTiKJYMJVrEUUalzZHMUXM/MYICSvgbH0cL9KpeOnh4F9gJQNWezniSCCaJm4tgZSCpBkQRYKVTg5DqAoTYHMzR8IISI/2qK7lKI23QQpeXN7B7rEq+UKPW2aX+PLKQebbRVJJj9JYm5WVIkKPsVI+o3aHjdU8lhUqotNakSjQSDo+mhNR2l1nYqxJ0gpIFgYsbRbRrIiDkxuEgY5ZHiDSIasLJTIplwOZDQWmlTw52yX0DIKuheubOEmfbitBHAs1/4w0iAWldA+kwBAxqUMNfvrl7x0CoNg2xnCl4LCt5Hdbl0USOlLwgl9iRO+S0yJOOqtsROZ2Vfu2zDmaUYpmrFHSAyIphxr23fxI/mkcEXO+rypyU0BKhEPjDZ0fPvfDfL51HFPE1KI014Iyv79yP3HP4C8v38Z7L30/j/cOoA8r08u9MZ6v7+R6p8jc9VGurI3y5vEzrA5y1Dspoq7J44u7OVef4In53Xz9zEHOrUxQsns4ekg7dOjEDr3Y5rizyB2JeQDqYZpJs0E/Npk2WgCcyC1hahGuNHFEyB3pawD80bW7OZheY8Tucd0rYmkhO+06hxKr/NcTf4m26qC1DcgHYMRonsBJ+IrQKcE80MZqK89kbyRm/03LGHbIXRMLjJoddCQH7TVWggLzgzL6QMl5nLoKPAgTgtQy22YSW3rcreg/YJtwBK9u4ca6AlgxlOXorvq7l1cWipGl2rWRrYLfwwSYgxvzWC+rE9saCIGf1QmSStNr9lV7WvcVUcrs3QDB3riuNLSC7cpaCsVm3q5At4hf4SssIiXbVanU1CZB91S7O7agX9bwU0J5LbwScF85NxZbLW257YalAJf/SW71vzu+JdCN45gTJ07wwQ9+kFtuuYX3vOc9/NiP/Rgf/vCHv5W7+X/leN/73ker1dr+WlpaAiBd7PMdJ15GJiKkp6E3DbRA0NzIUG+l2NzMUcj0QVfkgp1WjWuNEq1oqJyOYWO5gBcZWFbIheYYNyev81MP/wCfXTvGHyy/jqTm8cMzT/Gm209z345rvPvYk2ipED0ZUra7OCJg1mhwW3KeWGr8l5cf5HxQwhSQ13wsEXJH4ho5LSKQGr9XfS2H8hvMZmokyz10KyJnqcxZrJgnKrvJTHRw+xbpUo9soc8Xrx7iRw4+RT7fQ7divv+pH+OzF44SNB1OHrvG0vIItWaay+4Ev77nExhGxPHpZX7m9Dv41PItrK8U0DTJ5cYoph7h+zq+Z7IQlMmIgAjBnmSVHakmr8+fJ7ZjNi+WmXBa/NwdD1Ew+spez5TEgc7Zl2apbmRZXSkiJfz0me9FApYW8bHVU5SNNr88/Rm+Y+ocTTfBo9f3kMy6mGkfmVLtW881kTGEgc5kqsVaP4elR+iOaqsTDedGQhLUHWSs8Y3Gfq5446REyLRZwxEBz/V383Drpu33SqOfYKmdYyZZp2j1iGONm0dX2Z2p8V0HT1POdjnbmFAexpGOlIKZrDJV0JMhidE+jh2wuFhmvNxSAd1CEkUarYGDZUUUE300EXMic51CqTN0dsowlWuBkLQ6CfA1goFJpZdi/0iFMNYZ+KoNqGkxtbqK20ukPQ6Mb9ILVavV8ww2W2kMJ8CwIvquhWWHpCyftOnT6CQZdNRmKQ40aoMkoata9YmUt716fmNtL17XJpV2aXkOMlLU8ny6z6DpoJsxthkSS4100qU00WIq1SSR8ClafRwrIDybpRbbLA2Z4lvjkvPeBBqwHCaYC3NsRAkCqSl7ULNOIFUFXNQDHCHZSkk75azyue5ROrHGpSDLapjhnsRVdAGV2Oadhaf5i/qdfKJ9jD9r3MlCmKashTRaKc62J/lo404+cP47+Pm/fRfXPruH9DUT85tZ1l4a5799/X6e7O3jkev7eeTsQdY7KqAklR9g2QHTVo3JRAu3ZWPnXUwzYrORUXPRUBCFGo8t7+ZcZZy07vFI4yC92OanLnwfj/X3MpFoMWNXeba7m0d7BzntTXEws8Gp1FVsEfL7a/fz4xfeRSd2OFlc5O6JefqRTd4c4MUGk3aL616R5zq7+KWrbyV7uEacC5kcbSKsGG+Hz+BaljAbYV1JMFhJ05+I8YoRIwdqXFlVXJR7cxe5K3WFfdYmV/xxHmsd4EuPH1eGFiFqdjusPnVPWRpqwxQdAIbAIl9RwQmpjCm2ZqZb+tytQwslZkdi9lSrujMj8HKKDa37N6phUDpYw5X4aZ3BiI7hxTe0vcPvsXEjxUgBK9sV7nayFmwD41a03pZ0KUyqbtkWiWqrjS1itpOSRDzUGA/pRqF9477FsH28NZOWAtySSTQ0A5faDaCN9f8Ni/p/OL6lme7ExASHDx9+1WWHDh3ik5/8JADj4+MAbGxsMDExsX2djY0Njh8/vn2dzc3NV91HGIbU6/Xt24+Pj7OxsfGq62z9vnWd//GwbRvbtv+ny3/t8Cc5rR1UL2AiInZ1pBWTLvfotRKIuslGq4wwJFEmxtECBr7Jo9V9MMyIRMBUqoWhxYSxxqxRIznW4/qmqjSOzy7Tj01mzQoHrQYaYN4ccbU/yg6nwWebt/BjI4+x26zzr575fnQj4vON45wc/yqrkcVdiXnlOxtrXA8LfO7iUUqFDn3fpL+ZQsSCs8YEUdtExILFpRL4GiISdH0NPakYyy+2p7l/6gpfF/vIJwYs1fJopYCVbg7RNRjfUePO1BXOexN4nokbmdwxtciVVpkfP/UoH37sdfgFg6BjIXyN1FSHjy7ewVsOX+aJwSS3JBc44KzRi23+xT1f5eMLt3IkucJLvZ3stOsUjS5vOXaazz57C1oI0fAcvYSJB0SeziW9zN0T8/zp6j2MJdq8MX+OQ7tX+Tff/B4YKOG7SIYISyJjgWFGGGakNKmxRr2XVOMUf0u5D0kroBsJIl/nmYVZMqbL/anLAOQ1jxm7SkZ3qUVpPtu8BUOP0bWYFTfPUidPOdul5qXwQoMRp0fPNykmB2ozBkSxxnovi67F3LRjlblGkalcCwls1HI4pYEKDzdDIilIWAEp02Otn+OKOcpN5TVeiqfYrGQZn+1QGm9Tq2bQMwGaHnHL6AqGFrE3VeH82hgCcMyQNx06z5cvH0IOP92PLu9BmDFCQBgYxFWb/K6GSv6pZ1naLHLfnitcvjqhohulxs27l3l5cUptCroGN88u8Iw3Q29gM1VsURUZOmsZJg+ssBEXFEkNSBUHlDNdpBTU3STtThLdiFgwR9C1mHU3Q8+z8CZCzrjT7LE2CSTUY4tO7PCN9gGSmsdOo8GMMSBCBcF/dP0uPrjz0+gCHFQlrMIPNDKapDOsTubCIgfNKqZQ89yAAB3JP33ph+i1HLSGidXU+Kt9t/H9R58jjgRXNstc/vpu7CbIUUn3iKeKlIaJ2RHkrmr8KfdhjfUhFvR6DsV8l3bPwasm+IPrr2W9k4FQIwp1/EpS7SJygapmIkGv40AsuFIY5eziJI+zl7Fyi07soAvJvFdmvjcCKejHFjvtGmW9x02JJf74pbuhbfKfLr+de+84R8nqsuwWKFsd0rqHF6sAlSdWdtGtJdETEaKvs7JQAgnlnQ2q3RFELHCnAoQ3jHbMqTXrPTc/zp2pK7ixSVnvcS0Y4Uv1IzzxxGGcqgoNCDIwGIuRQsX1BSmlQX1VPJ14BbBs5c5uAdBWJTnUyW6Bs9lX7k92XaIP1G1iU1WPWijRAwXMIlJVsBRKBhRHwwpzuM5qoRzOl+Nt9rLZe0XLG3UuQUpD92+QGCNboIWv2BQEksjW0AcRvMKiUUTKqSpMaKqKjlF5wNGNx48sDS3gxm3kKypZcYM5vVVR674k+H8r2u/uu+/m0qVLr7rs8uXLzMzMAIpUNT4+zle/+tVtkG232zz99NP8xE/8BAB33nknzWaT559/nltvvRWARx55hDiOOXXq1PZ1/v2///cEQYBpKjrdww8/zIEDB17FlP6HHO+78HZcsghXRwYaWgT5qRbN+QI7Dm6wtjlOrEnI+siGxQde+g4Cz+CyOzrkykt+9b6Pk9fUAvziYFZJFWKNeMNBG3NZCvOMaD1Ouzs5YTepx/Cu3IvUMwZf6R7mpsQyEQIHyVsPvIythcw6VZ5yy1xwp6gGaUwR8UJjmn5gkUkrIwINyefXbgbAqycwcj5SCnaNV5W9H9BspkglPQ6VNzi7MYE1EeIGBqteFn8thYggfXOTg8eus9FN81tLbwRALCc460/xX+76BD9Q7jKi9Tl3ywSPnduPsCPGpuuEkc7qZp4zewvMe2UiNLLagFaUxBQR79r1DBtBjlGzgxubfGrjBI4ecP8t5znfGKOc7HHm8jSv33uJ5zammZpqs9AoYGshZ5cnueWmJXQR8+naLWhmrEwIJMOcWPUujkIN3YjJmC7XowI78k2WydPzdDQr4s4980qaMbDpV1LoiYAXNqd5OH2QcaPFpxsnWOiNYIiIfmhxdb1M5BrodsRmNUsy7SGlwA0NOn2HFT3HsbFVuqHNejvDrmKd+iDJydIizSDJNxb2qM1AQeX/OAmft+46w2fmjzIYWGh6jKlHbPYzHMhv8pWFA+RSA+6cXGApV2BHsslco4gMBdNTdVbrOdYGWfLWgI1BlrftP8PXV/fR9yy6ocW3HzjLw/MHWWgUcMyQviax7YBuNQEFn27fpt1JcnBqXaUb6SG792zQ8ZS/8iA0yWQH+IGBYUS8uLqDqGsSmTqzO+ss2kUiKbD0CCvrDZ3NDPLJAevNLGO5DlnbZV3LEPgGK5U8cc/gmhTEsQaGavku+0V0EZPUfIpGl9szcxy3N9G4AayB1Hj3xOOshhmKutJmFzWfujRIiZArQZJmnOSos8w+s4YvNTRimnGSR3s7eay2F57JwQEPRj2CMUicSfDxpdcQl0LknDKTaB/xKU+0SJoBO9JNXt6coLORJjYMii9r1E4k0HM+yaTHeLpDtZoBQzLi9Li8OA52RNiywI4g1JS0zIwplTvUFgtoA8GlxCijpTb1VoqRRH+YKiSZ76uZbM4YkNZd5r0yR50lspqLtmkhQkGUjnm5MkGn5/CWfWdZdvPkzQF1P0XWdPFcE2JB1DfAkGDGCFen1U1Q2F2nebWIWfYI15IYPcHY4Qb/YvbrTA/DJ9bjHN9oHuTJ6i7mro6TqGtDxyYYTKgRzmAqJEoMw1tiAIHVUozeLaOM2EBF7MFw3onafIBiCMev1tNqoVQaWk+BtdF/xQw4Glo4hmquGuuC0NaGs1YwBjGaLwmTGsawxWy3Y3pj+jbwS3FjYxAkIbUeK+9l1O23c/rkjfY0moBYIjQVw6eMNZQO91WOW1tyWyHQvVgRuSTb7XMVhiBefZvhvFf3JLxiA/C/O74l0P2pn/op7rrrLj74wQ/yvd/7vTzzzDP84R/+4baURwjBT/7kT/LLv/zL7Nu3j127dvELv/ALTE5O8p3f+Z2Aqozf9KY3bbelgyDgve99L+985zuZnFQ6wB/4gR/gl37pl/jRH/1Rfu7nfo6zZ8/yO7/zO/zWb/3Wt3K6ALQ20mRnAgLdRksHTMy22GxkkJmQnZkGK8YYUpPIUENoEGwkuO/281xullltlhCJiD9dfg1/vPdv6MQaf9Mb4yPxKRwrwE3E/Nzxh3FEwJc6RzFFhCslTwx2M2tWGdO7tKIEZaPNQ52j3Jy4TiB1PvXMrfyLux/hd86/Dl2P6XUc7twzz+Xr48iBjpn3uNAcw490cCLyI11GUn1y1oCzaxPMnZ5SHqs1G+lE/PCJp3lo4wgHyxt88+nDTBzcZLORITndod+xubIySi6nNg0nC4t8fXMf4UjA/Qcv8URnH8dT11mQZZ5a2AVSoBmSd88+SSwFf2nezll3mozusuCWuDtzmSgo4kY2TzV28faxF+jFNi+0Z7hn5Ap/cfV2PnDks7xlRPnUxlIwiEz6rk266PHgTuXglUh6fHL+ZvYe2uBwepXHtT3EW3MlXaIbMZGvI0yJaYasDXKUEj0urI8RhTp6IiQONQ6m12kESXbkW6zrMe16imrD4ff6r2X/WIWrlRKzI3XOr04QdUxEIBAaaEkfYcC5t/0Sb37sX7HYUJs511WbvJV2lkJywEo7i2VE7HE2eT6YpZzrsrqZZ642wsHyBm5k8nJrit5migP7V3BDk6Kj5n6DyCSKNDY28lzSI6rdFEW7z6Bvky31WKnliGONtXaWxbBAPjXglrzHybHrzHVGeGZphmzKxe3YxCnBoG8j2xbJkQ7ddMBtuxd59vIu0oU+1X4KISRn6xNUOykGHRukoKGnkT2D1HiPMNTxPQM9HXDbzHW+dvEAhh1ycPcKm700uh5zcGKDF8/vIhzvoOsxtV6Sej+BaSpby2xmQH5sQMpUSU8MdAaxxVF7mbLRZkTrUdYHrEdJttQnEbARmRT1gGlDGVNkRMgL/iSYVZIiZCVKUwmzLAVF3p45iyuFclKKknyucZzPv3iM8hMG/dd6/OiJb/LQ6mE6rk32tS2q7RTFhEfDSZNIeVihTrOToOplqGWTdKspRKghZwc0ZyF5JonuGcRWkvOlHPZMDzfS2J2q8pSxi1yujxcYuD0LKQWxr5Md6TGVadHIp4h0k6hn0TEi8tk+JwuLbARZAqlxpVXm+6af46izRCB1AqnzsdpdfPnKQaJchJEKoOLQulzkg2/5KzaCPM0gyWdP34yV9smmXDQ9JlXq019Ok5jqMprtcn29iG0HtC6OkNjTxvd1YivGvqlD0emT1DxSIuByMMp/nb+flfNjqkociG3ABdQoBPV7vLX66+CWJEHmRuLQVis6toBY2R5a7a155ivmvPHQIEMXWN0YL6uhIZDxDfavHI5cI/tGlWh4MbGuXK62pEkAoSNU6zdSVXGYGhK/YnUuW23tkZc7DMZV4SGQw5m0AlwFojcY2FIX24SqQVGDYWvYGAzb4gNlE7nV4paamtdu2UiKWG0mXikN2nqdEODldYxXN2//H49vCXRPnjzJ3/3d3/G+972PD3zgA+zatYvf/u3f5l3vetf2dX72Z3+WXq/He97zHprNJq95zWv44he/iOM429f52Mc+xnvf+15e//rXo2ka3/3d383v/u7vbv89l8vx5S9/mX/5L/8lt956K6VSife///3/P8mFpmeq7Bj1MMZiJpwWS4MCx0dWqA53lXEuRHQNkAJpx+htncvNMhOpNu60wcCz6Po2/2L+HfzyzN/zY6OP8reNk8rRaudF/nzxDrKWx45Uk6dXZ4j3Ch5aPczqSpH/ePdnmDCbfLpxAkOL+e+bd/LC6g7y44rkIAR0aikQsNzNq2B7QGiSvdkq31zaRbbQZyTV5+rV8WG6hsR0BWHdQi+76EbEmp/j6qUJzKKL1CRrF0aJ7Zj8TJ9eM4GZ9AljjdFMl9OtKZYqBURfJ5Aa+xIb1MM0mohV1FjGI1pP8rnNY8RS8N5dj7Dol/hmfQ8/MP40OpKjzjLt2GE1medzlWN8/9gzHEyvkdMHvGH6Es0oiS8NVvwCu9NVHl3ey65SjTeNnEEXknqY5q6peS63Rnmpt5Oqn1akcuMVtMjhEUeCTj2Fn20znWoyZxfpDkxkoEEkcGOThK7auXdM1pjLlNjspMk4ygRh0HS4uD6tmNESpBWjDXSCpsP0LhXfFsYaSdvn5rEVnpzfzcYgQ6eboBmluHX2Ouu9LMt+kadWZ0hYAZmsktNcbxe4pbzM40u7AYiGq8xyJ0+rm+DIxBpSgpX0EUKqlnYvx9EdK/RDi8vtMXaO12kNHBwrwA8Nnqju5q0Tp3l2YydRqNPuOQgjppjt4QUGAzOi2U2Qy/e53i4wNVnHj3RqzTRRoFaTZNaFQMPM+IS+juZp9GrJbVMRNGUfOjNVJWe5vLw4hXR1leMbWohESKeRZP/ODa6sjCI9nURhgAw12p0Ee4pVLmyOoWmqPVg0e9yfnCOSau76rDvNbmuTvlSs5vXIHsbaKZOMPiat2GTarBEh0IUkr7kcTPRYtzZ5pL+bstFGR+JLnS999QS2D5V7A2Yma3x87hbFetclHdJky10OjWzyvGvTbzsYdkTYNZmZrRBLQc9y0FIBphXy2pmrfDE8DG0Tu6pjNTRoZRB7PL6+vg9iQS7hsrhRRuvril8QqVb0vzv2Bf7EuZevXjzA6w5c5utX9zGe63B9UKQT2hzKrLNgjLAZZAlsnYzmMmNV+eiVU+woNSnu6JE0Ap5ZOESUkMx7o4yZLZ5cnmVmuoqpR1xdGFN6/7qJ0FH+7VfH0HM+YagTJ2PSjkfVTZOd7KBrMf955u9xRMQZf5wPXX0D1XNlrO6NCnTLI1lqbK8xSLE9xw2TEm04StsKGQgdBUpyiDUKMG+QmqSuwEwLhnaIQ4aw3Yrp7FAxp35WgaoWsm2j+MpqVfdvzFq3wMzqxNut3K256tbtNKHYzWFSUDmRwc8K8tciZSW5rWV69SGk0tqa7ZDY1IgSysYxTClLyexiPLSklDeq2uEsOzYUAKvq/0aVq4Vb7XVV/SojDf1/fvD/xfEt20C++c1v5s1vfvP/8u9CCD7wgQ/wgQ984H95nWKxyF/+5V/+Pz7OsWPHeOyxx77V0/ufjql0i7MbuwhDjUxydBjWrZixXs9CsyLSMz1yCRc3NCjt7XFhYYKbjqzx/Qee4Wef/m7MXMT5lXEysyFFI+Q/jD7Ov1t7PY+u7aXayCALHXakoJjq83h1D2vrBU4emGe3tckPf+2fQSiY3b1JxvIopvts1LP83hOvR/gak3srJM2AQaCAxMj5+DWHK4UyN42v0fISXJ6bACn4lXv/lj9auod6OUlzM8PRHSu8dHo3n6idRPOVAxJ2DE6Ebkjum7jKJ9ZuJejYBE2HhBWw2UmTy/Rx7YDHLuznhfw0d04t0AocErZPFGt0Y3D0gIaX5FcvPYiUgsZmhg82Crxz9wt8f+55OtLg6xxirjHCr3feSM52OZDbGDJLIyKpgsAviQneuPMiU3aDrO6SFB4ZbcDJxBw/eOWfEUQ6kVRReaqfozYd20csEHrMRifD3kxVzdRgyOwQTFhNZZqQ6HAktUJCD9iXNXh6fSfnqhMYdZMwr7awIhKQiNTsWELPN7ntoZ9HyjR9z+TJxm52j1XxImUin8v2yZkuVka1/lO2T7s/lCI5PkdH1nhmbYZ+20HPBLRch53ZBitRDiEkodQJfQPDCkkYARLo+RZ+pDOW7JDP98ja7ra3b9L0ubpe5hPxiW02fDbl0hr+/eDIJmv9LCnT59LqGKWxGlfnx5jaUUcISTo3wB1YBIEOZkzQG5LNLEl5skllM0u20Gc801Ga6nqOqekWph0SVSy0jE/TTWBYEUHLZr5SRIYaVtbD7VuIYaycG5nYZsgtEyt8s70PU0SYwHpsE0idstEmlhrPe1Pcaq9wxR9nRO/i08WVJk/29nHIWcESEethjozmUjbaOKJHM3aoh2kqYYajzjJ/vHoviYrg8NsvstAqslzNEwcaeiYgGuhkSz067QT9oonXs7CSAUJIIt+m41nUV/KYeZegazE1VuOrc/uRvoZe8LF2uPynI5/mZz71w6TO2ay4JTBirl8YRy95OKU+mhazI9eiPkjyR5v3sTbIImPB44u7iQON+eUy5X1d7ilcpRM5HCussO5lWXfylO0VHm7cxIHSJuNOh5frk6QtD21vlxNTK8wNSnxi8RY0TVLrJemtZrCaGqVb66y1y5AOyKcHbLomcdVmYJtM790kiNXm6o7JBW7NLNKJLZ71J/iN82/Av5TF6r8CcMUNbSoSNbMPNPV9q/pNxIhhD3dLs8twniv1YdtYCEJbYA4UcznWFQDqviTWwB3R6Jc1khX1vu1PDA2HMupctBB0N1Yz2yF4vpJVrD6gw981lD90IMkuRHg5VZ1ueSEnajFuQXvVBkDtGF6ROjSc44a2htmN8HMGvXF9mwClDd2xvIxG0lOtYW0oGZKRIkf5KTWO3D5foVrmatYttrsFug/ht4Ck/+hThgqmaqt6tQQzuTre9TTxYgp/PYm5ZiHrNp3FHNVOit35GrPpOomMx53Za9yTWOPbDp7nP+7+LHftmiNGBWq7MubdpcfJ2B4zYzW6rs2Z2gQbz43zb2e+qOakY08zpXcplDtoPZ3r5yZY62RZ3cwTbzgIO0Jqkv9+6KP8k6knt3N3w4FBcqzHai1Hw0tiGyEYMWbO42Z7halUk5Tt89qjF3nxwizSjhGhyvhNZF3MusHEWJM40Pj05aOkR/rs371GdrxDFAu6G2ka9TT9epL9M+vEsaAT2lQGafaPVJgpNEjuavPC0/vYkWpS38wSxsrqsdNI8lxzJ0tRmi91jxBJQd+1yDsD3jX1FIeTq+jENKMk1/0RalGajO4y61TVwqq3cbSAlOYpCVHHpNZJUXAG7J2skMq6aMPFIHQNtoR2Qpf4oU47tJGRhgw0hKsj0iH9WEl/diUqnOtNcbVT5stXDtK8WiQeGISZaJvlLDWJDDRiKwYzpr6SJ2kGpG2PQc9mrNhmqZGnH5gkHBUjuNLPcaE2Str01EZtoJqmPdei5qUYeCZCgGUHTKbbzDeL3FRcVw5hUlAa6TBZbFPppZFDaVnXtVlsFRhNd+kFFq2BQ72XVLGEkxtUOmmiWOPWmes0Own8pk2jo4z1V+s50qbHVKmpfLDNmGo7hWFG9Ps2gWuQTbnodoTmRIhQwyi6VOeLaEbMG3de5MrSGE9f2o3fN/nm+b2Ucl2itFp4NudHyGWUkDPoWYiuThxpyL6xTei6tKrke7EUymwmsomAQOqYIiKQBithgRG9y1f7+3Fjk290DjDnjxJInQPOGuthnow2QCOmEmboxM7Qoc3lbZmXiaXGNX+UtT/fxc63zFO0+rT7DratrDGjvjJJARQjG9g3vcGB8U0KmT7JyS71lTwAwcAkPdJnR6qJaUagQTTQ8QOD37v+eqJ0jHtLn/xZg8SCpaI5Aw3XNek0kly4Nkmzm+Bau8RGN015tI1lhehWjDBizlfGKBttxswWg8gia7jUwzSrYY47stcIY5257ghLq0Uur43itW3We1l2J6o8uOMCP3Xoq7xj90tIXRJMeyqiLxOwa6qqNvWRQCbUGmDqEW+ZOsuOcoN3lx4nkDqfbN7GB196E97lLLr7au2KiFQOLRKCjFSfBU1u24VGNpgtVaVt2T2KSLWWt4IIVG4tBBkFvLEp8DOCyFbgGyQFkaUyaIOEwB0RN0hYKMaxHgztE2PVOlZxefKGLGf7hBXIbcmYdF8xnUE9D80Hux5idtU6IYdBBts5uuIVMiIU0UlVo0K1yqWqlMPkcDMytILYPp+t+zTVfUa2eh10b8seUgxtLtVz2Ao/eKUd5f/u+EcPumtult56in91z1doeEn1gUvESCcmtiXSiRAx+PMZnnlxHxoSdyPFh+fu5Y8bJ3i5PslmlOFsRek/NeCzvf38SeVeABY3RuhVklTWcxgH2/zYQ/+MPWaFU/Y6GvBDe54mzkTEVkzWcblt9yJxMoKuiT7Q+EjzFJaIeEPhHH6sQyw4UN7k4OQGsRT89I4vMzNV49iOFT7euo3Hzu1nZaHEudo4ZtZXbzQNpC4ppPtECYkfGoyUOvzZ7R/hF498jp3pBu2NtNr86ZKx0RZW1iNlevi+wVInz8JyiW5gU+mn6HdtUnta1DyVx9ltJtGzvtKVnt/FP33y3Xx6+Wby5oCDY5u8aewce6xNlv0iCT3gQm+SVTdPVhuQ0QeM6F32WJuYIuK8O4UjFDXw39z7EP/88GM03ATX1svsKdaYHq2TyijQABTAahK3b2FrkcrtBaQZI3sGOpKLvXGeb83w8JWDWFpI1LJwdnbUbt6J2DbWNoaLjjFs44cCxwhYb2Zxkj7NfgJNk3T6DhnHY+CZLLdyNFspANKWz97JCjuLDVKOz+VKGb9vMTHewLECeqFFKdmnF6pqNm16JM2AtmuTMANmCg3WV5R5yUyuwUK1yEZbuWxN5VrsLtSZq45w9445eq5FyepRzPZJjAzIplxeWp/CNCOenZ9hMtWinOiSyrqEgUEx3SeR8NHtiEYrRTY9YKLUQloxYdWBbIBuxHzy5RNIV0evmZiJACvjs7pcZMs9Xhox9UaK6dmqWoCSEVOlJmhS8QIk6EZEt+ew2CmQKfZ4oT7Nab9ERvOxUJ7GgdRJCSWHuz95lYOJVWbNKn+w+jryWp+sNmA9zONoAUedJfJan7IW8v/dfB3uELz/25+8heqpkKlkk7P1CRK2j7uUQUrQUwHCimlvptE0yf/F3n9GW5ad9b3wb668do4nh6pTuaqrOgfFVkZCAmQJMMaYi/2+xsbg6zCwwdcJ2xgbGxucMRccMBnJIigLSa3Q6lbn6sr55LhzWnnN+2Huc6payH7Fx7fHXWOcsbvPPrX3OvusNZ/5f55/mHF7bPYK7A5zbG+X8EYWej7CLPlYmYg41tkcFhn1bXQnBl3itx1u3phWc34hWfyeW9htyN0xkJ5OMjARQwPNSQhaLhuNEq3tIq2rVS591z8i6SvGcH83x6ujeSKp82BuhQmrx8e3z/LJzjmu+1MYWkIqBVrbhA2XymSPfmAdzHx9afKpjdPoAw3p6dBT77+2VyYZj77QJFHX5mx5k2fbh3nP1BW+MDjN/9x8kI+++hAsZw/mlqm5DwHvroNCqjg/EgGpUEYbocDwILEkqSnVpnSfqXyvk9N4dulXYDgrCEqqgEVZVRyjnMAcKASohxKrv2/xmJLdTQlLipy0z4D+Y8c3qVf7LWuEkhjt+zYLCboXU35+B6d5d8ac6uK1ut3919DGCUmRxGkqgpXhSfRAbS4yu+q89hE4cGB4YQ4k5mC8WUCRtex+OiZhiXt8qLlrk/ktHK/7otsLHXBSfvHCW7hzTd1gAMJTiRMi0JQXbibFrHsczexw7OQG3zZ7hV/+8ttYvzHBT376+2hvFvnpzffRTU3+/bUnqVt9bt6a4uTsNrOLyn/YW88jzZQLwRyg5lnflr3Me+6/yPsefZXNdpEbzToPn75DfrZHakm6sYsvTTJawNXGBHom5uWbi1y4tMBSvokmUlZW6jxZucH57ix/700fx+jpTOX6RH0LPRPz2AM30GY88laANTuk1c4SxDr/butdDFOLl3ZnwUoJYh1hpuzsKGOQ3VGeWkkhMt1OuLI+RXfokkY6vWaWi8szCEulCNVKAzQzASMlGRoYWsqFzgwtP0M7zvLFwWnekLvBKXeTrBFwJreBo0WctLY4bW9R0Ud0kgzH7G3+6coHWIuqjFJLaUCtkEppwOagwKnSDvXcUNkQSoEwJIaRUCoNqVhDiAX1mQ5nT65Rm+/wUm8BV484vzmLEJKi5YOdEgQmwtMRQ0PtriNxd6YJqsUmYKefJwwMTk9uk3MCbDPCtUOa/SxB11EGEYFOL3TY7BRojBQi7Y9s4kjn5OIWlp7wHYsXMbUEU09Y7StS1o1WjWFocajUYhBYXN+u8+jJO8wWuyx3KmTdgKVqk6wbsNyocHFdEQmvtKfwGhlebMwRJRqz5S5+ZJCmgowdkkYat7tVRrGFqSckoaZ8oX1Tzer0hFc+8NMHa65eDZio9UilQIy7JtbhPrFvEg4srHyIcGOlfU4FbjakPXJx1i3FmvWUTKbTyCEysSIXScFivo1tJOr3RhWW1bg8tmOM6KUO/cTlI/37mTXb9FKHH5n5IkNp4UuTf379vXxk9xF0JKVxEMF7Spf4hZ138cu//V5ECtn6iGc2D7GxW6LTyZK6Cewpkpj01SZ1NLTZDXIMuy476+WDzkbi6USeSdix8QcWXmwiA520bUOgWvDCjUkzCQ8trLHWKxK9s4s3lZK7ZZC/amL0NIqFEVgpS5MNzHxAOraEFU7Cf37xrbgVj9/8+hP83MvvYTWs8suX3sRau8Qz24f53QsP0Q4y+LGpNvzFmA8vnqeeHdKOMgSpQZCa7N6sklpSGcSM2bpxQ40tTDeCUMOteqwOy2wP8hSNEV9uHGXl5VmMTUsVjvCurEb3OCie+yxcKSRoasySmpLEUaEJAFqgkZqM5TrjyLtx+zexFfLVYlX/DwLm99vTJgRlFdMXlDRiVxWzfWJSbuMueWu/SKr/Hhc5IQ6+7t0o7M9W9/W6B8YYUQKNFlqiLChBoWnlaDX+AORddnJQUD9jDdJxSpBiPrutu+zn/XQjhGoza4maRe8jf8NP0cZt5/1/c/D7/K82E/+L43VfdPcGORbnGkRdGxGO04KS/R2NugilKSkvtPnA0Yv87tpD/MKR3+F7iy/wM+/+Hb7/zV9j4eQOf+0tn6VgBDw1OsFfOPYMn9s4SXmqx5X1Kd45fY0js3vUjjb57kdfYD2s8AVPyajquuQnJz/HqcwWphnTaWW506mo1uNSC1MkvDJcYJTa/PjJz/Hh0y8rFxorZRhb/Ou1b0NzYn71zuPkzIBWkkVqkhu7ddAlTxy+Q9H0iHxVCA0jIQ10Bj2Xt5Wv8Qd7D/D41CpCk/T3csxNt5AjnSjRkECzk6MzyCC3lTlCGJhY2RCtb6A1LLQ9Cxlp7GyXqFf7Y1aFYHWrwpUbs6xvVRjENs+1DxFJA1PEVIwhM2abQ4baNHxheJLnvUOMpE0nybLRLfIHu/czSmw+u3uKhypr1DJDpnJ9DJHw/bPPkbFDNCvBdCPesnibM7VtLnWnyVRH3F/b5E6rQnOlzOXGJJ965SzBdoaoa/Ola8f4jnPnyWSCg7+xiJSbEvp4UUuFQjeRYLHUJh0abA0LCCFp7RZobxewzJjKVJdiaYThxvixSRzrtNs5+q0smiaJI51Jt88wtPj81glqzoC3VG8SpxoLhTZxonOqus1Kt0wQGUyUBnyo/hKLuRaWkTBf6LLRK6AJMAyF7APPpO/b2BWPIDJobZRojVzyTsC7Dl0jTjTy5RHtfoZhZDFT6KHbCYOei2GqAqyNZ+J+ZKBnI2wnYmezhK6n2E7EbK2DP7CZmWojPJ2w6SB0ienETC62iGONQSNLemoA+YjhSJ0PEgw7pl4cIFBRe6Ona3zH1KtU9SGd1KWqq1g/U8QcM9ssWns801riajDDT9/6AD+/9h5+7LM/yD//7e+mdb3CpU+c4Ad/58f4uysf5EJY5qI3xxeePguA9c4GGTtkNLIxrIR0YCpf7npAMjDITQ4wi0rmtDvKo1mJ6mJoINuW+psH+gFPoOs5aK6yG3WqHvnyCN1MyU8M2Bnlad+uMNzOklYjRvd7DA4nmH1B8oUq9rrJnd0qyXYGrRJw6D/+HKJtwkD5bRem+hyZ2uOjtx4gHFiq65QKhCa5vTzBynIdaaq27opf4Wi+wVe2j5DRQm57dUSsWshiZCB1SX5iAIWIJNCJurbyz57eIJUaP3bki3xi5yw3zs+jB+MQ9nCfEyERqXjNyr5ftPShjrNlKBe7MYC2WxrurnaXxJmqAnvQZh23ZBOXg4Iokrsz4uG0Ktb7zx+gyHTsYSxViP1+y3ifSX3X3ekeVvA97OBvPFTYgCrwqakjKmXKF7pYfUWA8quaMq649zXG72X4YyesMaJ12gmGl2L1E4XABXfTjcazWqufYgQphp9iDdKDebIYz5r1sR2klihdcex+6+3l132e7gcWL/K51gPU5jq0blbUzMCQaL5ApBpJNiU7OaS9XKZTz7B1s451KkUD5s0med3jNy88wgNHVjlkNfjVrTfw/voFGqsl3nD/DZ5tLTFrtQlig1pmSCoFRd3jqc5JPtE4x2OlO+Q1n883TtJvZBFDgxPH93j2xeMMLMlno5N4vsn3PPYczSRHP3YoLrVpbxTZGhVYXq8hdElzucxX9vK8+YmbTN63yyiw+IuPP82yXyWVGicWt5nNdCiYPs97i2QyAZdHM7y6MUPWDaFnkpvrs35zAr0U0m7nODa7y2bPQq94pLkEIUDTUuJIh2pA2rbIzPVJU4E/tKhlhuyIEgiYmeygCcn3zL1EK87S9DKEUueQ2UBHMm82CdFYi6rMmG2mjC6dJMNX+sd5y+xtTmU3OWLt8htXH2GzV+Cvnfgi//S5b2e5WEabl5haShLoTE33iKVGL3RpjFSbtxs5DJoZRCwYDBWxSepqXmRnIrb9Aj924kv8nPduor51YPhAKiBi3KNSVnrd0KE83aPVz7JYbVE4tI1txFzbniAcZBWr1EjYbBXIuiHCDQgiA0NPKdR6fPnmUSw7xrEinr55hMLJgCTV6AYuErA1VVwfKy9za1Tnp85/gKwb8MjkGte7E/SHDqend7ju1zk6vctOP08lO2IzLNLtZtByEYdLLQBebMwz8i2qhSH9vRzbWoGHZ9cOdNDn6lu8ujdNu5Vj8Zf+JbOHYtqhjrQjZuZalB1PEaW0FH3HopnNIt0EoUsqJSWJWe2WCAY2Zi4kbDuYJWUPmSuGmNWEONaxjZhTs9t8be0w0dkRZ+wNboSTlPQRM0afvcTlf+y8kbeVr9FPHRw95uc/+X6SQkLmjolRlrgPtDBTjcJpn83NCpe/tsRfMZYw+4LpN27T823a3SzJ0MAu+QQdR3EXDIkQEhlqeCObeqXHwLdpjVxqpQE7qxWMrk5cUVwIYg3NibHdiP5qAd3X0FLwpYMvBZqnoS/5rO2VFT8i0JA+EBpk5gZc/tGfYuk3fwZtzcG8kMWUkLYyJK5qbcZuCiOd/qBAz8mqDV2o0exliSODQt7DrsQEkcGp2g7pOE7w0zdO8cD8+kHOtrqIx4uWndJvZXELPv6O+hvVJnqkCL594gLdJMv1lxawutoB2zhx5DjvWyp2ekYoMlIMjOU72XVB/5jiOBgDQZyV6KEgNiVWRyPKS4yhKkDmUIVPKJYy46QgSKxx4TPU+xoj0Mb/7e6pYrQ/g1UoW95tVXMwxVBI9J7sXLkvzR+3yF8bNqCKuNtMCYqC4ZyDVbTIXNul+kJC73QZqyfxK8ogQxV9VGvZFOhhitTUCyqDDu4W5n3yFuPCq4mDzYKIGcuLxJhM9k0QrVCBDIH1rePX1z3SdbWQXzv733h8cgWqAdJOkU6iguszKZNLDR6fWYFixKuNGT7wxEsArMQFHKFCr3/ljf+djBbwhe4p3l69zouDQ5gVn4t7UzywtMqL/UXWbtc5W9rESy1+8eqb+cLTZ3H1iE9snyVB41aryhtO3ULmYv76zGf5wBtfQh8o4X2lMOIHvvDD/O2XP8ynLtxHlOiIVLDRLKK1TWSsIZ0EAp1/9uz72D0/SXe5RILgj5ZP8MlL93Hj1Xlu92u8vDnHm5du8f1HXqAfO5yb3aSU8Vg8uc1wM4+IBEmoiDHLjYoyAADedN8NZKQRBwbs2qRDk4WTO4ShTuCZSE85QrkFn6PHtjhT2eJDcy9TN3o8nr3FPz32exwx90ilhi9N1qIq/dTBFDGWSNiLC/x+8yE6UYb7suucsTeo6APOzmzy6NQaWS1A6BLfs2iFGfzYQPQNNrfLeImJpSsDjCg0uNWuqru3GClJzFB9XiIRBLsZXnjlKAXNIw4MRRjZv5k1xXhWq6W664qWz0yhRxzprLbKpAhO5HcQQpIpeWx38uztFqgWVUjB0UpDhUUYCTsrFTRNFYGsHXJousn6qMSJyi55y0eONcqaSDG1mKduHqNWGPKnFl9lbVjG1mOOT+3hJwamoVy3npy7SdYMqeaHvO3YDc7Ob7LeL2Fo6dgeUrK1W2Lp8A66nnK9XSeVGq4ZK84CkMkHaLkI14yQqSBJNAa+zbniBhsbFXb6OaQuCXYziIGaHxYcn8ubU3Q6WQqVIfGeA3bC8ak9dDNlNLIJQwMhJHfWVXqO/kKe+Xqbv/zin+UPGg9wwZ9jO8kyTG3CROfTe/fxn156kgu70yosfMvEm0twj3d4bHqFifyAMDbIlUf81e/8JMcfWcF4sMMoNBn2HfI5Dz0bs1htI0INmYsp5EfEgY50lOf4zl4RKQWDtQI7KxUwUxI3RYzDM6xCwHS9q67hXELipKqNi7om0nzMidoumpYiQoGoBpjFAAoxYTgmGKXAoSHR2SGjoyFBNcXqClJHovnKdW2fdetWPI6d2sCyYgwzViREYDLfx08MljINXD3kPceukjcDNCTtnQJpJlXXKrA41+DEoS28vo1R9RBGSjUz5Gh2j1mzxc+/8E5V3FNUGIslSVypYkdzY6Q7bikHVZW1G1QliQPupo67YWAMxZhclRJnlRezFijEqgIBBFFOfUxapAqq2Zd/DEnaXZU3W1hJMcayGy0axwGOzSMOCuj438oxSep/Nwc9KNRyn319t/XslzXax0zaj0/jzxVAKgcrJIwmNAazOrGrIYVgOKEznNRJx0EKUggSWxX5xNKIXO3gfV7zyD5a564JyH67ftw52H+0+im6///OdA+OvTCvjAfMEbqpxOl61wABxfku2ytVvnDpJHJkcKTc4Jntw3zFW2LG6JPXIhaNHstRDR3JI7k7rAYV1kclHplf4zsPXcTRYz5/4yT6QOd3XnmYRpDlzfO3MWZHfOHKCQahxTl7jR84+jzHcruQCv7M0z9MP3ZI6yHdToZGO0++NiTo2xBqDHZyyDFxIi3GaB1DzTYLIZOTXeJKzMKpbf779ScIAxOtaSISuHlnkodn13hf5VX+x43H0JBMOAOWb0+wul0BQPOFkswA7zt6WWkaI4Ov3VjCKQToVoI5NyRTH9IcZrBthRIQko7vUsx6fN/M81xpT7ERlHlxeAhTxIRjUshP3vwwP/3qt3PNn2YjKnMzmOL8aIFI6nxX9SUMLeHTe/fx7zffQSfJ8N0TL/KO8hVmzDZL0w1sJ6JuDQhjHb0WkC+NyBsBz984xKiVQdNTCk5AZaqLTIXS60oVxq0PNTRfIA3J7WBCPT9um0k3AV0iYqEW1xSklXL+yiJebKLpKV7TZRBafG33MNXCkHp+SCHrI3RJnOiUMh7XGhPs9PPUswMQYDtKopI1Q1IpOH9rnlFssjvK8+DUOjtenrVemec7hxCapD10+Z3bD+LFJtfXJmmMskSpzlS+z5nSNjf7dQyRsFRs8NLOHJc2pml2cqz1S5yc2SHwTcrlAXc2alz+4E/RbOW43J4kiA0ub00ipWA0sElDHVNLEANlZxgnGhd7M+gtU3VcUoEohhQPdRTZDIh6FvmCx3DoILMJlVqfS9fnyOc80lAn7NlMFvuYboQXmwwPx+x+cZZgYPPMpaP80ifewz+6/Z38QfshipbPjUYNOTAYNLIYniCox2ilkKVyi1QquU0qYbRSYDWocHOnpny0E53ZiQ6GnpKEmrJmLEQYdkJnraTQ60AZdchAZ7ibRdop9YW22kSMC7KWiQm7Nu2hy/tPXUQMdEQlVPKP8YiBVHCtMUHUckAH2bVIN13cvI/rRCz+t58lHZpEfTXD190Yc2qEiCGzoVG4oSmEmUmYnVHSrTt7FfJOwFSpT5JodAYug9Dm2t4Eq16Fmjkgb/hM211O5rYQnkamrjZ1UpdkzJDrq1PMTrdVl6pjkkiN484WH2k8imhZSF0SZ1URtJsC3RcKfevjQrE/ixwIgopERHdbwlJTaNXwBMXrAn0klIRGg8SB2FVtZTHW8e7PU/2aOPAhFlKh6KCgkdjjQjv2ON4vTOoXGj/ey0oeF22RyoMN8UHo/fjY91LeJ3IdFPJUodf8RkKUEQRF/SBNKNNQM1qpqeI7mtAJi4I4IwiKGkFBI3YVkzl2NMU+DqViPo/P9YBRPWZC77tOCSnvnuM99VVFFkrcxrfuSPW6L7prXpm/+cr38BtfehPxnksmE5A50iX1dbqrRfS+jtY3MLq6slE0YkyRjOPDNM6HUzzkrDKUFmfsTYaJzbTb5b78Jpd7U2oXL4FZDzsb8urmDBujEkcmGmhtk84gQ4LgyexVps2OSj0amDx16QSl8hAnGyL3FIqoT3WZWmwyudDCrnpMzrdxCgFpJsXJBbzh8G1FhrEThqGF75skfRN3qacWkljjkeIyVX3AsO3y5dtH+fLaEQqTqkBIMyUujS8OM+X2oEYc6CSejvTHiBZlOTlqZhj2HEXOAY4f3aLkKFOI39l8hL1ejk8tn+aQ0+C8t8jtcIJe6hzYUw4Smy91TrIaVNgJCzhaxLVgmim7x+XNKdb7JbbjIlNGl0jqfKL7AIdyLaJI5+t7hwA4Nr3LkUqDutXn7NIGRjbiPUtXmc+1eaC+yeMnblOZ7GHODknKMaktSbJjaYUWQywQmQRpSUUIk+M2tBg/6hLNU7dApTDEqfhoQtIeZIgSnb1+FlNPmJ7o4EcGK1tVADp7ObqBQ2m6x9Fqg3LW48b6BOt7ZYSecn51jgeq67y0NY9rKMTZDjJkMgHV3Ij+Zp61V6cx7BhLT8ibAUcKDV5uzjLp9FnplrnUmOJUbYdc1idNBe1BhkPZlpIG+TZyqFaKQ9NNxZAeOkQ9myAylOwKuL1XRVoSvRwQxzrXtsfpXlKQTAXcv7BOZ6OA6cTcXquDldJrZikWhpRqA3r9DBiSkW8hJTgln8dqK8xVOyxk25gtHf2xNofm9zhzfJ3cyTZbT83xqWuneWb1EKNGBn2k4a6ahJMR80f2SHomb6jc5tnNRfKlEQUnQJZD/uCGmuMGgUK5ays1GrsFTDdi0HfU5gq1acxURsyf2WboWQdyOjMf4oUmIoXKdBdijVzeR3NjLCPhM7dOQTFSevDxbD8738csBGTskNmlBtJOkE5Cakv8lTx+YOIWxm74iUAGOrYdcXZmE97UwRxIhrPqmiMVVNwR/sgi9k32OjkOF5o8PrdCFBi0hy5vX7jJhd1pfuPWI+R1n0jqjBKb7LwKLxHFkNzkgKtrUyAkG8s1gsggt9BjFJn8xubjPP3UfTh7Gs6ehtUVmF2NKK9OUfcFZk8b62cVCcjqgbsriAqSqKiIU+YARRgKBYMFFDIGSO8GAWghau47luIkDgdIT4vufjntlOymPCh8B3GA+6YX9x73tnQFBwxgkdwt2Or6vKf4cbdFLVJVjN1mitSgdN2j+MoeTjM8IDRZ3X0zDlVsc+spxkgS59RGI3YEsTv2fx7rjA/azfv8qPHm4MCkI1WfzT5yP5gBa8oe85uZcvzvjtf9TLcXOpRzI+Yf2eR6s45rRZQdjxUpKGc8wkSFiQstJe/6JKnGU52TnJzY4lIww5vcZTaSHPpYCvFY/jYv9A/zePYm//czb8Uu+wgBhyebDEKL7c0yl9pz2GUfbcrnL53+CttxiS92T/GFlWOIoU71cJtu30UIyQePvMrl+jT9SMkBvrxxhCAyCBouOy2XE8c3uJNWyTohF/emeXRqlbVMmSs3ZslPDBhtOgz0LKISIromv7v2EP9m/V3cf2wNTaRc3Jhhvt5meKsIuUQRiSIVAn+rUUX0TOTYGq5UUrvtds+iNNknY4e0BxkemlnnPZWLdJMs/3PzAdY7Rf7huY/z8eb91I0eT3VPYWkx/33lCaYKfbq+w16Y5x3lK/QThy+3j/PM4Chf3DxG0VGL2M5Wic+W7lN5siJla6RSakLPZOSY9PoZ2lsFtEzMTj3P5moVYsErzTkGgcXItyhkfeJE50PHznN9MMGLF5ZAwruOXuM/fu0dkCrTDRFoKtBaCpy6h99XucFiYGD2NJJUYxRYuHZIZ+hiGglD38LQlR90u5/h5OQur3bnCCOD+nSXVAqmCz02+kX8yFCtec8YL+gJN/t1TD1hrVOi08wxOdVh0HMJQwO9GJGmFnlXBRXYEyoooe/bfOHySUrVAV5gcqUxyXypQ1rscn27zsvNWYo5j6wVUpzYZfG//SyzMwYL+TZRWWdlWKOaG9GQAuyIyWIfq9qmaHvcaKqW8MjPUp9r4RgxL189BE5KvOegVUKmal2msz3aQYY716bJTA8wrRhNk0zMtMhZAR+/fYYwMLm9MsHsQzvYRsxstsPJ7A6/sv5Gpt+8TXuoNm3CSSAfoS1FiL5Nc5BBy0dcHU4x2M6x8pf+Fou/8i8gEoT7C3+gk50YEq4XkIc8Yt/EcCLSQCcJdWQhwbEiprI9Vm6pTUTk64hQIy7pYEpa20X1/Vgnm/eZzPe53p5ibrrF+o0J9JFGksJAZrDyIdtXJkhdxdI38yGJlSC7FmHfwsjE6PkI3UjIZXxauwUuJtOEIwv5YEz1OYOgYzBYilnKNVgvFhUat2OeungCYabkih6VjMfnbp+gVhzwRH2ZRGr84c37eGx+hTjW0XTJ0mSDG2uT0DMwJz3SLRvPcii9aNF3wBtKCrFCffuz1sQWY/coQTL23ZSmCqo3hmOSVQzFaxpBFdwdSVjcZzNzUEilsf96vAZ5ahEHmltpqO9rCeNEIcm+E9W+fnffQ/mPEaLGJKZ9BCsYb37vKdQyRc3rNXGAsoEDsw6kRIvUeyVFQeS6VAYhWpCQGkoWZI5UKE2qS/LrCbqfYHo6ItVJTHFQLKWlLDKNe5IK9klUrzHpkOokxdja8psRvfbb0N/q8bpHum+p3eRkaZe/OfMZAPZenuTSVZW1u3anzs5micXJJt976iXm8x0msgNe2J7nY92Hebp3jO94/i/z1cEJfnn3STbjMjf9STa9As8Mj2GVAtJEY67e5vZmjd1GYdy20giGFrVyn42gzOe7p/n0jVMUMj7STWislUiloNPN8kzjMD808zR3rk3z+y88yN8+8VkOV1t86PEX0Icat7brhAOLxk6B/sDlSnuKjBFi5CIOldsceXCd7374BeTAwJ0ZKBnHhsXFFw5z/oUjpBsuQWyoG0yXEGpMLaiA9dGuIibtzzuL7nhXbyf8vVOfpO/bPD63wig2edRZ5S2Z65wpbeOv5vmFW+/kTq/CnWCCkjGiEeS4r7KtvJZDk89fPUFWC6gbfU7nt3ipNY+pK1nJRLlPpuRxp1fh/OYst7pVNlpFNlpFZiY75OyQI1N7IAWyZ6ELiVkIcOoe61cn6dwpE+5lGAUWs8Uuv3X+UbaHBayqz9ShJpNWT81vJQgjReZjcpURp45u8BdPPY3QJPquBSlExZTV65PUckMMPaWU9bCMhCRRxThJNabLPfqRzelDm1TzQ4a+RauXpWR59IYOpp6guwlaLkJYCTLWGIQ2Rden13cxnJju0EU3UqLAIJP1MeseppFQKQ758PRLbHlFBFCu9ZkvdSjlPGaLXUrWiDdWbnNudhMBvHHqDjvdPKvdElY2ZLtZ5JnrS+SsgBOHtqi5A77/+AsUs8ofOUXw8uo8/YHLdKHHsbcss71aYXmlDqmgUBkiTZU5PQosLm1Pc6a0RW62RzHjcbTeYKnaZG2lxtWVaer5IbVyn1NLm7SHLv3A5uurh9gOC7iZEENL8QY2tZkuM5MdCjmPMDAQTYuso+ROL27PITJjlzBfIz/TZ3KyS7bo8+DpO4z6NvapLnFPuWDNVrsIQ6KZSmfaH7h8/fphMNMDhKKFajXUR3cd6dNU0N/Oc2NjAjsbstvNUZzvktgSmUswmiYzlS5pPsbo6hi5SMmmBIhSiJlVTG/bCYk8k1pmRKE6JAoNjE0LMx/SfCJCi6D6os5n/vAx2htFRCCIBhbEGrqZMlPokbMCchmfztDlMyuneLkzj6ZJRrGF33GolftcX5lSoSw1ta7k1gXFVyzMocQYShJXMJwTDOYEvSUYTqucWj1QpB/DA7uj0KruM87MhTAPqQ12GwYLYxJUrArq/mxXC1Xh3m9LS42DmD2pq9fTgrvoLywopKh+VhVcr6asJZ1GeLeVPD50P8HZHh78/4FE6ABdctA+3ke9WvzaR1CJQ1os0UKFNkfzOYaz7oGRB+wbaqjXGU5bRBlNaW6HYzvJWH1mQV67W9jF3YIrdfU77et+7/V0VqhbjmfSdz+jA5T+LRyve6RbMDxuRiZfHZ5gMHTQQoHR0xl5BbKLauay08vze71zvGF2mY1Bkc5WgV/ffoL85ACv55Ai+NL1YzwVn+BdZ66QMwNGicX/cerrrAdlPn3pDEfmd7l5cwoRaGiRILE1trdLXHJUxGHSN2mu1jEEpJbEnog4Vmtw/tY8f3PrezGqalf/fz37p/gHj3+c39p8VM1gIo0Hj63wyoUlEl3ynukrNKIc1146zo3rS6SnBizk2rzlwatc3JvmWG6XF+yTOLsaw5MBphOzuV1m+rRiPHc7GbaXq+wV88wcbrC5XEOEAqlLRV4SkmzR52ONh+i3M7zv9KuMUpvn/QUskfDmwnWeWjzKzlYJIo1PaWd4vL7MoUyTF1oL1N0Bu/0cuaJHOI4r2Q3zRIlOzgyZzPTY9fJs7pSIIh3HiXCMGF1PeXLhFk/kb/Ibm49ztrTJdTmDPtCoOCM2kxLxnoU1PSSJdeK+yXA3y9uPP8vVlWm8yKBWHPBgdYOndo/xoQdfYmVUoRu6FC2Ppp+lGzg81TzOE8du85x5CNk3IVCzvaozZLNdpJQbkUqFuCem2lQclYs7ii2ubqhYyXJxiJsb8eK62ry5VkR7YJCbUHGRVi7Ei0yOlBsU5n06vkuY6MzlO1xrqLzio9MNwtTA0aMDn+uiqywhd4c5hbB9Fy82udqapNPLMFXpcXtQI0k0gsgg3sgga8oQwxApndDl9k4NPzExtZRhpOx2xLJLuuBTsHxeWFkAKTAyEXHHot9zwZDkakM6O3m0gc6nojMcm97l+tYEW+06Upf84Bue5muNJVYbZerFActNRSKby3eIYh0vsajnBwxDC7omjaCIW/HwR0pDKssRpp5QKI/odzIII2Xx//4X6FX1/TBWM3NNSMqVAX5oImJBOjLo+TbS00mFmsnHgaE6FW0TWYmgb5DUQkTHUuOFXKg0ruUUfahx+tQWt5tVNV/dy0FOrZRxPSJJlbtZ4iopoW4npJGG0FMsO2avn8X3LBgY3FhXyPrcoQ3ODxZhYIEmOfzBW1z56hK5FUlmU8evCnw4SOspWD6DyGbo2QRNF3TJq4NZbDdia1jAzIXstfOYmZBoYJF4BrWvmmixJCgL9t4c8bb7rvHdtedxRIQpEj7SepTndhfZvV0lu6wjjTEqHRfIxAbTUwXXHChv4exOQpg3xm1RXpNT6+5JvPrdOWpmW7VpR1OqMOr+WBY0BoZxBoZTGsXlBG0kGdWV7r1zRCe7lpBdHjA8lDtoDUd5Ay25679/IBcavx9wD4tYod57o/xErJwdE2us19UgdjWCooYxkpieMr2IMndxZOJoyvs5kWPzDLC746KdSMKsdiBd2j+ndKzzPUgT4rWM630XtH3v5bvt9G+9Jr3uke6jzh1Klse7cpf5Zw9/jGAmQsyPMAaCUsbjcK3Jm+Zu83PnPkLd6jOZ6XP/qRX0noFtJHzo/pfoJw5PHLmjiDChy8W9aV5qz3NjNMGnXjyHaJnc3qyRrY948rHLMO0jRjp4OodyLQahTaY2IpkKiasRaU61yP7c9DM8evwO2bxPvJOBnoFhJVwazeLoMW989CrH5nYpWj6iGELf4HduP8gD2VUSG8JSyrHJPZpBhgW3jR+aXOpN88STl5h9zypTUx2ikUm+NCJKdPpDh5ML2+ri3nSYzXURToI01AXU9xxOVXeJIp1Xd6fRzJROkmUnKvLrG09wxZ/BlyYfPvIKP/jIM5RnugDcGtR4pnEYS0+oWUNyTsB3HrpIVgv4ev8IXmLxeH2ZMNVpBVmWGxWELinlPR6dWuNQvsXZqS3yho8vLWYzXTJ6SGmmR1xMuLw5hWHGiHJI6JksTLSoz3UQgcYvvvJWZKBRyXh4ocm8owIAtvwieTNgOtNle1hgNttFF5JjuV06oUulNGDlh/8WpcNtnIU+xviuCWMdXZPUairSLkXQjxxubtdV60tCs5Fnu1VQZB1NstMqIOyUYc9hcrKDYSRYhmKuDiOLRj9L37N5dX2WJNFobRVpeDkq9pCVboWNbpFrG5MkUtAeqrFDp5dh4Ntsd/NkrZCjU3vkrICNXoG5agdvaCMrEXOTbf7cmeco2yO6noPQJFfXpljIt1nZqiqXraMD3EzIhe1prEsZtUqsuWiBBj2TTGXEsOfA2E7UtGKuXpinXBhRO9TiHQ9cxk9NvMgk6wZsbJWRUqhNkx5jGgk3unV2ezniREOaEm2oE4UG1coAGeq4+YCdVgFDT3DzPtO1LvnJAWmk0dooMZEbYGgpV/cmaS+X8YY27vSA8nSPbj9DebaL6cRo5ZBavUe5MkBWInKlEdKQ5EoeWgxmW1P2lAIC3yIpx1y4Ns+wmcFvuuNKo9YGrWvgGhHLf+XHkZZC+/VKD9ONSGONNBVEoaEc/vIRMlKs/wsvHgYrRXNiiDQurM2QPdui+zaPKCdw9ySFm8rf+P75dRw9Yq2jDGn0oSpO2p6F37XZa+cVGQ+IujZOMaD2tImWwO6TET/1V3+V//r2/8LfmPocU3qPGb1PVfP405Wv80unf41/8u6PMDgZYrfHetEMB4gtzHOQAlS55mN3InLrSkcbZe9aIMbuPQUX9e8La9Fr2MZRbkzEEgrhmYOxKUZe5fRm9lKKtxMKKylxzkSk6YGTkwpckEQ54zXo994Z6YHRxMFz9xSzcQtbi+/Oa/cdq7RYsbLDvMCr6kSZ/eKq5r7G2O/ZCJSblBGkB7Ifu5cikrvFP7G0A0YycCA7uvc4mF1zF5ErFPz/spcPjkAanMlu8I/XPsDNYJJsdUTUt9BiwfalCY4Xdrkvu8kvbb6Vj928n4dKa7T8DO988hW+be4KtwZ1vrBxnPdULzE52eFWq0acauwNszy/uQC60rrJlo0QkkNuk7Rhqz9ONuZ4ZptHaytUcyPee+YS3/XgK7zr3GV+89x/5dnBEV58/hiDRpba0Sbf/9av8d5jl/nIyw9zu12hYg25fmeKL339DG89ehOtEtLfzvOPvvJdeHMx0yd3ubI2xSvnl3ihtYBhJLyyNseF3RlMPWGvVYBAY3S9RONmlWRksNEtcvTEFlKDQWSTL43ITQ84vrTFbLGLqSVk3QBDU0YKP3/xnfzBxlm82GTBavIW9zZvyN7ke4sv8MNHv8qTkzc4md/hLy18CUMkXOpM8dapW/RiB0dErHllupHDEWeXYWixO8xRynkIARkzIkXw9J0lvn5tiSs9hSQfKqwwa7U5Vt1DOAnxnsN7lq6SDkzk0GC3n2PoW2Tm+7iZkHfcf4WVvTLtjSJfaR5lFFg8v7LI1fYEtpYwl+8AYBsxT20eJUgMZnI9AKrZEbap0nVKObU5MXV11612Sly4vMDNW1PIVHD//Dq6kSD0FMcN0XXlllXMjzh3eB0EjAILx4pIpaDpZ2kNM+h6ije0seyYQ9UWeteg4oz46o2jhLHO+e/4J8hEcH91k7mSmquentmm6PpMFAZoQvK+iUsYWkqc6DxeXeaBQ2vIRPDe6ct8fO0+zu/OEMf6QZjHc6sLvPvkFeJUQ0rBsO1iGQnx2QEA1tEe9vyA0kIHbzuHTAVaIaJ0X5PZcpfakRbHyntU3BFfvn2Uz62dYGO5RpJq6FZKmgrqRXVuQ9+iYPsEgRoqWhWf+okGcc/iXG0TYSUUsx7z9TaLxTb+SPlNp6ny0T5xfIOtXoGdbh7/Th5RCtF0STnrkbEibn/f30VKZdWIkDSvV4kTHYYGJVc5kMWxCrEIJ2LyWR9RCkFIsiUPEWgIX6M218Ete2oR93RkWbGwAWpzHUSosXO9rnTqqVAt+rHJip2J0N2E7ORQado1iWnHWGWf1DPoX6mQdC0G5wJa96doiaT6ksaLlw/zlYsnGK4W2G0WcI/0lKtbMcbMRhyd2mM0tFUr3U0wn8kjEth9Q8I/e8tHOW3tUNFHOCLhUjBzoPOtaD55EfNGZ4UPPfgSsSvG7WJVIO+V6QRlgVe3IJFkt0LlNsXdaD+7I16jP83sSEZ1g+H0XQ/lfQKV8mJWrysNZQuZWGLs4CTRg5QoZzCaz/+vF+V9JvM3Oe4tvMjx7HrftIL9zN7xy4xzbo0RSv6UEwQV9bvsy4LCe1rIB0g6leP4PsabCFU0tVgesLv3pUIHObv6a92uDgrvmAj2Jzle90X3mdFRHnaWOVvY5LZXwxtaGB3l+qJ7ipjzq3ce5+ruJKFv8GzrMLvdHEtug6v9SWKpkaSCS6NZJjMDZfI/dOj2soy2cghfwznZQRYiAt9kJywwcbRJ/XiDuak2j7q3+VD5BX586TMsD5QT1fsr58kIyfuL51k6t8HPPfnb1DJD/kzpOa73VAtLSkE/dijUhlAK+cqto2SyPnZFLSJm2adg+yxMtTh9dpWWl2F0owTA4EqZKy8vMldvqwUpp1iZ2sBgeKvI7c0apx5aYTbTZbbYZarQ59Z2nfVOkWdWD5GxlNm/13Hw91w2l2usrdS4MJrjQjhFSRvxq+030E8dps0Ob89fpqSNeGv1BsPQohO5nMhsE0mDM/ktJuwB/+Hak0zl+lh6gmtG1Cs9jhX3ePrOEnIlg/B0StaIf/bs+/jc3mkmjB5NP6t8aN2UguGDpcIdfM9SRdsOca2IObfNdx2/QHlWEZwSKRBaym6jwAvb8zx34zBPXzvCrbUJXn7/P2WjVWR7mOf07/0Uk26fanbEWq9IPTPE9006Q5e97SKDtYIyh3cSTCvmRrNOKe9RrQwYDVUc32K5TbeXpRs6ypYQqGeHaEKy0SzihyaeZ5HN+9RyQybdPkk14mazxkStR39DEciKpRHroxJz2Q5hauDFJo1+lq7n0A9sbngT3GlVGI1snm8tstYr875zF9mN8lhGTKeVw+/ZJH2TYnGkcnq9ImkqCNsOBBrddpbFehuAuVIX00jotHIq8FYKsjmf+YJ6Pm8HuHrEWrukEF+iU5ruMeg7pInS/nZGLlujAl7fIU41Es+gvV4k8kwcI0bLRewFOWYmO+w2C6xs1FjuVEiHJoFv4q3mESOdG5sT9BpZkkSQFGMyuYBCfoQENlYUYzyVgjgyEGsu0pD0WllEISRjhggjxbVDRCpwKx7DS2Uy2YCkZxH4JtJNsKdG/H+WnkbXU2ZmW5y7b5mHjqzgRSZPfv7HaWwV0aqBCjsYGWh2otK/AhM2HYLNLEmgE4Y62doI6ekEXYew6UAiSGd9tWD7Y6LkUegdhtrXDdwVE5mPsR21Roi+gZGJiUOdqxfnSfsmSCg9Y+M2JM37JQ+eucOjzhp7ictvtR/jY70HGKU2v9N9hH+7+w760iQaw8aHcisqDShSJCu1gKiH1FCI1Own6EFClDfUbFNXG5h9k48De0aBmhkf0kjtcbydeU8hGhel2FEtX6epUOS+wQVwkE60fxyYXnzDcVB498lLB98fP+ribsIPd9Gu2R/PeiM1m93fBOiexOpIoozAq2oqenAcy5cad3OF1dz6biv57nkq+dCB73N6F9V+o2nHwawXDhKNvtXjdV90560W/3brXTSjLF+8fQzbjUgNSTAVU39kB1uPabWz1PJDMrmAo/k9Tk9tk9FCZtwu1zYn+eGjX8XWYgwtYTrfJ/GV8ahWCsnO9RkNlY1e1LNIpOB9s5eZyvb5jtlXWY7q3Aon+NXtN3Jzp8aLjXmGqc2/a76ZLw1OEsQG//Tq+9jqFfjg136EmjNEsxIcM+bF7Tm1KPeUNKi/l+ORuTWcqSFR32a5WWH5zgQbXcWgFQkkvoGc9xEpzGS7HD+0zeShFm7Vg2pAUok4OqNyZF/Zm6UXONzZruG4IQ9Ob/CmhTs8Ul/lXfPXMHMhWkGZxuu5iPcWL9BLHF4N1Cxz0WqQoPHM8BiOFpHXlCHEGwq3+MTOWVajKjeGEyy6DaJY51ajyhsm7qhW6NBlx8+jGynprI80U/zEhEDn/LUF/vYLH6bjOUhLwtgv28kHHDuzwQdPnucvnfgqGTPicKlJ2RjSCrMcrTRwdDUjPDm9y5mFLTrNnDKRTwQTE12WfvNnkFKwu1vkaLXBzU6N909doJ4dstIuEwcGo0YGrW9AUQUzaLpE0yRRrDORHRDFOmks6GwVuLw6jdyx2e4UwEzptTNcW56m79tEnsmZqS0Sz2DQyrBye4Jb3RqEKsGmlhkix4SiY9U91jolJu0e17cmmMl2iUKDXj9DEBlc6U4RhgaanrLaKNPYy5PVAy51pmn1s8hQY2a2hVUKGHo2th1xaXWaM5PbYKRo+QjNSri9VePx+27RDRz6GwWkp6vxQiI4N7HFlZ0ptroFqs6Qr9w5QuBbVEpDAt+kP3QQGmTzPoyRpx8bGHbMqcI2JAotZwo+GTNEpoI7rQq77TxCwLnD67R381RmO0S+gSxFByQuBEQ9GxLlpewFFpsbFWYWmxz+9Z8hCA3SpkUyGapVK9QoFDymMz0MS7Xy5ZxHsJ4j2pfF2Qlz9TaLCw0q+SHdJMN3Hb7Aw7U1bjZrbA8L9MaOZk7JJ4019KGONtBh1yaIDYKOQ+qkyFyM1jOIfZNhU7GwERK9GCmDGQlLx7fBTOkOHOylHmE9wa8IMlsSY88kSTTihoM0JXHPIlf0yM/3wE6pvqRjjGA0KUgzKbdaNTRgSh/x1vw1fuPWI/za6uM831qkYHjsJXm2kyxfGB1l1lAbJZWcI14TML/ftm2dsugtZWmd1IlySterBYoolLj7LOS7M149AKmpIIR9R6t7RrKq+BrK83jfYOLekAK4W3hFIrE64be0Xh/E9d2zCThAnePfyQjuSoiUA5ayn9RicNsp5uhuSIEe3mVMv4YNPX5OfkPB3HfJSmwxLvp//Bylfhd5k0r19Sc4XvdEqldH8wxSG1uPiXo2USpw5hWLbuNOje967CXu7FZZu1MnNzlg2upyzN3hCfcW10ZTJA0bTUiCVPnzbu2W0KyEQs5jIjdgpVkhGe9UkdCNXI5mdskYIV9qHKfjuzxUW8PQUqK2Q9+J+MPG/bz49Al+5Ns/gxeZdFo5NDMl8XUafhaZaDS2ipw5tk7HCdi6OgGpQA8ET188xv0nVrkcTfEDx5/nD9bPMpPrcmF9VlH53Yiffvj3+E8rb+N7J56nrve4FMyxGxX4/M4JXCPi5k7tgIzy6NLKwSb0+bUFbDsi7wTkzJBKYcTubhFhJvzQfc/iiIgJo08zyfH+4it0kgy3vTqR1Pmd5uP8YO2r6FrKSlDD0hL+w7Un6a8WeK6+SL3c59H6Kl/fO8QHZ89zdXeS5XaZhUqb69dnEJFgFFtonobUIEptWl0bLReRhjpBanBmaosjuQafXD6NN7JJhgarVpVb1SofXjzPL3/5bTz5yGUlI5p8iZv+JByBXuDQHrkKvU1ENIcZFmptMkaIpSd8ZO0hgtjA0BOkryMiDVkJEZrEKAZomiTnBrS7We40K1hGQq3Wp9HMk837DHsmUWiArx+c73DgkC36dEOXUk1JgELPpDXMgKUsLkuW0na/4bM/gRfW8EOTm8M6SaIWMTcTsFRu0Q0V2n18YZmNYQk/NtjyylzpTfHm2i3+Z/9+ZEkxz8Ohxdkj61z5+mHSYszVxgTCTEl95cN8dHqPvBHQ6OTQygGuG3JmYpv1fglXj7DMmDAyyBohhpng2p4Kd2g6iGKIkwmVQUdxiBea1N0hGTPi1c4sZiEgiXRGfZtuxoGeySDS0J0EmcJKpwyhxmKxTWuvQLY0YuDnwJAIPSVf9ei1M6Q9E3PGJ9At+r6NkwkV0z6TqPU8H2Fs23SjIjuFHtHIwrISHCdiWDDQnRhNSB49tkwvdChYPrujPM93FumGLjdXJ9DaJtpSSppoLN+axK2NMMyEqBhDIhCZmO1WASMXkXgOhhuT6BKGhgpKEKC7CbqRkM0qqaGpJQgjJZcJCMcBq/5DI+wvuJSvwF7dQmgoXWw+YjR0yGR9al9V5jbDGYF30odQJ4p1RlJnLS7x9eER5ksdfnDmazgiopXk2IgqfLl9nJLpcaa6QZRVNo2KuKRQpxaN569DiV8TDDSl4fVrErOv4vq0SJBaEndHkt+I2XnUROr7RYe7KHSM/EAVRmMAdifFr2r0FzXMAZgDFWL/msg+oVJ+guqY1HePtOabzUH/WJG7R7O7j3r78+r9Ylcxsvdnv3oqCXMa5jDFHKh5bmJppDoYMWNmsjggQe2j93uNO+62lpWfsh6iJFAHJ333M5GANLXXtKG/leN1j3Q/t3aCO60KL23P8fCpO5Sme0ShQTAyEYlgeVBV7c1IkKaCjaDES71F/uHKd/HpG6c4dmaD/3DtSa70pljMt5Ejg7RvMhjZ+LFJNT+mwY8vlos703xi8yx508eLTUqOx3O7i7h6BFbKT5z6LMvdCnLW5xPb9xHEOqXKgJ9+5Pf4O2/8JA+V11icbTA5q3avo9Bk/vQ2f/vdf0gyGSCchO+YOE8+52FqMUJI+pHDj97/FJWHdok6Nj/xxe9l7fw0n2jdz9dGx/jFG2/hj7ZPMp9rc31zkjhQ6KRSHvKP5/6Q0+Ud9joqIs0xY1IpcI2IKNFYnG3wrx/+Hb63+CKh1ClpI+bNJjopKRpvKVynag5x9ZDf6zyMoaUcdXY4f3Oet8/fQFqSyDPZXK/w6Vun0LWUUWpxbnqTNNW4vVPDrY9UC9n0kYZEmkoziZWqludskyu9KV68dog7wyrezSLJyEAb6chIo3elyh2vhtQkFXPIYrmNIyIey97ibdXrfPld/5Ik1fAikyjRufid/5iV3QoX96ZY3y6zuV2m2coxne9jFkKsiZFK5Yk0klgnCgxanRxxzyKOdfJOQLOVQyYCb2SjlUOePHKDUyfXWZhqkSl5zNY7ACxk2xypNJSu0zMYtl2EJilXB2giJRhaDHxbzZLNmDAxqIz10u+ev0aY6ux087T7GZZ7Vc6WN+n7NgCD0KYXOzw0tY4Q0OjmODS/x8ULi8SFBKTAu1ri2Nwuk7NtJis9rt+e5qurSxyebKKNZTVfv7rExp0aX7x5nF5TtXmf21hgutSjfadM0LPRAoEYm24U857SJkswtIQ72zXuvDJLEumI8YqyuVUmP9dD6BKZgptV7muYkmt7E+hOzExBzTeJlPGE56u4QaOvE4YGhhPh+yaBbykHLWvsNGWkB6b819YnIQXLiHGtiNo467aWG/Li8gJbvQIXtmbYbBV48eISXmSimSliMmA632ey0kMvhIoYNjLRsyr0QQ4NZCpwMwGUQzKZgFq9R262h55VYbOF/Ihcxme60CNjh0xnekhPdSc+uPQqmqcR+wadt/tIAbnLFiIQSDPl9MIWaaRh/0GJxIbku5t4MwmLM000N8Y2Yz74tR/hx1/9bn7jD59kZ5Dn77/8XdwOJzhpbfEm9xY/M/dxfrT+RZ73lojyknB/jHpPK9TdU3NK0rF21wNjNG4Fy7F3cizI7ibK6WlZFeTEVUzxex2l9klVxgjyG7FClKFqT4d5JSP6XxKK9juxY13sgXnG/w4kym+Q4txTyBNH/X5BSbzmdbRYInWB00kQ8V3m8b3FPB23rV/zuoLXtKC1SI7R8/4LjzN270lCOmg9C0H6J2gxv+6L7r4tXiU7wk9MOlsF0qZFrdZHFEMsPSaZDjAGGuGtAp3I5WpngssXFzDNBC82CSOD3WGOC7vTakfjpEQ9m7WLU2xdnmDp6Dal6R73n1nh/YcvsdkqsOUVcY2IJ2vXeaS+xoLb4kMPvMRZe4OdnSKF/AiAMDQIIoNQ6kwZHQ45DbxIFeu1TgkpBX958Ut0kwwPLa1yemGLL3WO0+tn+M3bj/D4xAodz2XebPEDi8/x8H23VXxXLPijl86Q13w6rRx7/SyDyKaQH1EsjSiNF86/vfwhbvZqPLawipQw8GwyZsSelyVKdGw9pqoNaSUOe0mBSd2jqnmUtIBe4hBKnf/+yhP8/rVzXO5N80h9lX99/Z3Y+YBXmnMcPbaFuWsyNdumkPVZvjXJrzz/Zt5duUwcawefgZ6N8BMDmYsVEtAlufKIMDTYbBa5sj6F0TJ5/sIRZW/XVnP52fkmiZvy+WsnOHVqnQ2/xP935sv0Upfnhkco6upzHu5l6HoOX3vPzwLw2OIKp+s7nDu0QakyoFRSYRVvOnybxWqbkuPxphO3QIKTCUl6Jno+wrEjNptFhAaF8ojJahdNT9jyChhaypnSNoaestksomsphpYQpsrfuDLbUZGCXZP2ToFBZCN0qchIPaX3tfSYxWKLF7bm2fKLyp0IpVZo9LNs+wWWyi1kpDEMLT5+8z4sLWah0kbTJCubVcjFaNkIEWgUzjS5tV1n92aVZi+LXfQxzZi6M0C7kaGU9Vicb5Cf7itG95//CXXd9x1cI8KZGUIqSDIpaaij6ymNrSJxrFPPD3H0mGJhSFKK0XRJ4usIXVKr93liZhk7G5IOTSYLfUwnRvgaSaLhuiHdwMEpBpSm+jhln/lah1LeQ8752FZM1g3JZ300PUErhWqxizTyWZ+Jh3aQ+RjZtZic6fDG6WV6QwcvNPF6DmuNEmmoc3ZiiyTWmCr3sase3jiEIJ/zWGmW2W3nSWNFPtOdBNsJ2VlVwSi6kRBFBm42oNfMHlyrU9UuaaQxGDr0By4d3+WNU3f40tfPoGUj5uptPnrjAay5IcJISTyd5sOpyn/VQRvpXNucpPaUpchK723T6WYxaj67vRy6nhJEBo8urjDczWKc6hHGOjIVPOCsjvOK1b2T1VKO2dsk2YSwlCrEFyiJjzSgeMvDmxBIE5CQ2U5xdySZbcX6lbrS33aWFDJ3W2rcYQ4E5hCsrlC6X29MpooVwhxM6YwmNLQYslsSd1fitNLXFrN7i+oYjRrDGMNLxi3s/x/wUN79urfYFe6kB0xqLUZZPTp3i29iQWJrJI76/r0F96BtDQdkqv15dGKNw+5NcTfIXoi7M+F7gxL2j/05759grPu6by8/PLlG26iy2Suw3Skwf3gP24i5s11DaPDy6jxONsSfBXomo9giSTUmjzRotPOsrdawiz57GyVlkm9IxFDFhaWZFMyUUWTy2PQKK4MKR5xdTk/vsNIpY5sxv3L5jUyXe1SdIf/x0O+zHFv8/Jt/m1/bfoLb7SqHai2iVCdF46eufAf/4NQncIyYpXyTfmjjRwa/tvUEl1emlfWfkyKMlMl6l8VCm0dzd/hk/wybUZnTzjoPzy7zR8UzfGLjDK1eFk1IHjqywp+f/ipLRovv2vgR0vUMSSEGU3LRs9C0lJXNKrVan97QYbubp5z1SFONs6VNnveWqBgDZo02t+MiWRFS1z0WzBadNMMvvPG36CQZFswWz3uH+cDCJS50Z7jZqvHA5Aa37Vnm8x16oUMjriBGBjtRkZOTu+yMcgwDiyhSl2K5OqDTLzE728KLDDzPQlt1Kd7XpNmxyE4OCfoFteOu+UrD6aRoLQvnUEScalgi4dXBPI0wyyl3k/949W284b7jXNybOrguXtqcI+cGinmb8TlWUnPui41pwlhnsdymYg0pFkd4gdJjlotDztU2udyeJGeFaEgGkYVpJkSpzvWtCSaP9EmlII21ccqQSixCgqmnCCdBy0fIFHJmgGhZdDwdLRvT2iswW+ix1S8wVehzp1dBRhquHRLqhtKzJjoPltbYmC7S2Cpi5gO6kctctsNau4QcGWQmhox2slSWWvT6GTRdGf0fn9zD0mJutWo8e/Mw1Yea9H2bwUoRe2ZIJaNsPv2R+n03ewUWKm1ueCYyFViumpcLKyEYWgQ5nV7kkLUimOgRxgY+oOkpupby1bUlKvkhO5HOyk5VBbI7KUHX4fjxNW7u1fC7NhTBMmMagyyeb3J4qkHVGXK7U8UxYgpOwGarSBqZZGsjztS3eXb5EM4dW2lQj6asjsqEfYtQQGWiR5pqpE7EtdYEkac2sZvNInk7pGD73GlVEEL5TQsnGccehjhWxGh/8Y51KoU+rW4Wo2GyJ4qQQlOAmwsY9ZRE68MLL/N086iyKRwZrKzXKFSG9NoZJie77KxUlCnOG1NKL4+pt9czdE5Klh5b4c5eVZ2LZx5cO286fJsgMZTEqA6eZ2E7EdtxkWPWDrZI2CfNNpMcIhsjx7psqyfH/smCwYKDkBA5kuKaQmf5jYi9cxapLYkFZDfAaSvkGeZ1KlfiA1YvEuQ4bCDKqhi/oKBh9+RBC1tqkGYEhi9JLHEQwyc1QWooBrGS50BYtu4i8QM28DdZuPdbv+yj1fEPJer1U3uM0iM1s01s0MbBE0YglSdyoByq9v2Y7y3i+zIkkaqNR2qo9nKQF2iRwByl6GPnL7g7V5aaGDtVcVCwEZD+Caru6x7pakJSdwZ4gUU+41NzB1SdIX/h7Nd4z/Er5HMe/sBGNCzIxfiJSaubZTbXJfYNkDBRHKhA9EhTHqyGhEKEU/WYmW1xpNhkxyvg6DG/sfYY13YnOFxu8uGFl3lkbo1TpR1eeukovzc4xid6DzCld/lH83+IlIK1dokHyus811/i0alVLnpzPF5fJquriLj+0OHSnRlkpCEyCZqVID2d7e0StztVfnf7EdJU419/9T1sRGUA/kzxBd46dYvD9SZVfcDfmfskS4aKh3toYQ1pSiXy9jWSnqXyOqUgiAyOTjSYKAzY6+YIQ53fu3o//+324/y7W2/nee8w571FQnSe9RcpaR6miKnqAx51VsloARV9yHvyF5hxe/zFY1/jTG6LNz1xmVvtKs1RFq0SoMWCOavJ908/S84KEcCDM+u8fO0Q7Z0CxoTHXL5De7lM2rDRjwxIUkFmZsDJ+o5CXbayaOxv5jHaBrovePnKIbqhy0ujQyy6DT5YexmdFF+avLw5R38rz+J//VkW/8vPIqVgJtcj64Rsb5d4aWueQWQzCkwGA4ecEXCtO8mbZ25zdnqTwuSAkusRpAbdoctmp8C3TV5mNtflWK3Bbj+H40Ts+TkMTW2KTD2hHzuEXRstH9HuZxB6Srpv+hC6pLkYLRPjuCFEggs35pjO91htlGn1shxa2KPXz5C1Q7zA4npjgqIx4kRlV0XW2TEvrc5ztTPBRGGAWQpIU42l49u0WzmStvrb1ma6rLTLvHjlMEPPUt0O16O/nUfmY/yBxfpemTd+9ieoV/ucXtii282w1SuQRjrSM0hTQRApxybp63QGGUrWiIwZ4pgxnmchAdNM6I0c4lhHAA/Mryvy4XixEiOdm3s1wsDEWbcIhhaHyy38wMSy1Eq70isz9C28yGR9r0w4VAVl2HW41pogbdtEhZTBkYS9dp71bhG35JMpeUSJzuFyE8tQ7m+amXB1awLTTBhFJnsjtRkNAwNMtZjPFHrKIcpX2bWV+Q62EzGX7yh3slyK0FMWFxr4TRchFHlVhjpXB9O8+sphqCktjt42GPQdciWP3TtVNSqJNNyyx/CtA7qnEtL3tInqEUFiEI5M0kQwP9skDXWqlQHD2GIQ2yTZlMdmV0FI3jh7h2PWDnktYifJMZI6fWnw/OAw0jMO7FzNkXLqSkyVd6tF+4uh8h4OSoaSDaV3C+6+7CV2VLSdFo51tvuSmlTi1TT8sobVl4Q5wXBKU+5WUplt7BOWevMG/VmDMD9O/BmjzaCgHaBCkUoVBn9vl1fe8xVL9sMGDuwZx25VepCS6pKwpBKRRKrcuqRQBTexVAtZSLB6yVj2JF5DzjpA0Nprv6f8nSF2tAPUrljb8m67+4DsNUbK49f/lmvSt/yT/3961KwBT50/iWNFnKlu8/KVQzxWXOZPFV5mfVSivVXAyQUH/fkoUVrHdpChNqHsBL3IRGYSdVHrEuyUcnmg5DRbZZ5+5Tjnb81zu11hp5vnxMQu76xd5enmUVw94vmdBd79hvP89sYjfGr9NKZI0JAslto8MbvCtf4kZ7IbfG/1OabNDu8rvMpfqDzNfzj1GyzW2yzONtHGSTBpqGMWFBNwb6NE1R7yliM3mZxv04gLfKp/jrwmeGf+EtdWpvjxp7+Hq+E0fWnSSh3+/uwneMcbLlCb72CW1YxYy8TIVDCV79MLHFY2apyZ3kLTJJqe4pgqD9QRMRkt4Ly3SEkfshqXcUREP3W5HE5xNZjmmL2NI2I2vQKaSFkZ5/12+xla7Sy2HZFakq90T6hQiURnttilYo1AwvsfeBVNk6z3Sxw/s85jD9/Ab7jKh1lL2R3lOXZqA5EK0paN2dUPnHXMpoEXmexGeWbMDr40eXU0z4X+HIFnsnhkFzsf4BQDwkCl8nR6GUwnJop0+pHDifouaaBzX36ThVwbL7G4sjdJxg4pWh6mluDaIYuVNleG03QDl4wR4l8oMRrYXNyYJmuHvHfmCg/UN4lSHcyUhamWku4IlCY2G5MxQjQ7IQ10qrmRkiZlIyadPnPVDuHAwtISZmsdirbPYrXF5Q/+FF9tHeVKc4JicYSUAsNMCGODE6UdliYbSAnLW1WW/9zfYflHfpzj07ucq20q9ykBU+U+3XaWQWghIoHQx8QgI2GrUSSMdW7u1jCshMPlFpmih3ASoo6DN7LQDaWlcKyIXuiylG8yn++Qz/rIVBD4Jv7Q4n1HL6vilhpYuZDKVFeFyOdiXDukXBwy9aYNZKBxeXOKcGAxbLvcWpugO3QZ7WZpNvLEvoEY6GhWgpWJeHxyhcmlBsaCmn3rRkqvr/TQo70s/UaWKztT/PVjn1dtTDPBdSI0LSVvq81sr50h9QzMTIibCxhEFq6liGSEmmr3Gglly1PuV4UQBGy2CohY4I0s5Dg28guvnEarBehmgrBTmArI5AIGHRdRCDGLAcKN8Qc2lpUgMwmn6juYmYiqMyRb9JEjg7U7dcx1i/lCm6afVY5idsKXrh8jGlm4esSMHuIIybzRI68lOCLh24vnWfnhv6XCVEyBX9ZIDTG2QhwjRVRB1SLVfg0LKl/XHN4TNCA4cGvan4Mq4pEqRmEB4qwy1pC6Ik5pY49kfTzbFRJyWwm5bcXodlqSzF6CHkmcbjJ+rW+Atn+MPHX3eZUXPGYrj4uiFELd/6bS7JojJRcKSuMNw5g0FeQ1oryOHsjX5vN+4yE5mN3ue1XDPimN13w+B/aQY6b2fuv5T3K87ovuR7/+GHpfp7Obp2h6/OATX6ObuHxqcB9BrKQK6XhmtTDTxDZi0oHJ7ZtTqvVYG2IbMXo2wq2NmFloYroRrb0CejFSfrCm5MShLf7Fff+TKNK50ahxaTjLT85/kkcLdzhV3eZvT34OQ6T80ulfo5lk+c/Nt3JtV2lyf3Dma3xi5yzD1Obd2ZvU9SEjaTBvRPzS0d/kfdOXODW3jZv30Z2YP3P6BTIFnzfdd4NmkOVGp07R9lkNKvxo5TmGqWRCH2DYKqD8iqecpKb0Eb/efpxzuXVcMyKJNWQqSAcm2ZLH/7n4R/zb47/F33j0j/iXix/jL5/5Cv/n2S/yL45/hB85/mUWrT1u+ROcsDf5RPsBPtJ4hP+89Ta+2D/Fc8MldCGJpM6/33knb63e4BM7Z3l2axGAI5MNhDZuXQIXmtMcs3b5q4e+wLvqV3H1kH/41t+nbvV5x+EbvHfmMrOZLg8XV9RGRwr6OznWb05w89U5RAz6UCNxJNKQJE5KkpHYRswD2VXWwwof3zvHgt3kQnMaISQrNyeYr3YIfYN0YCIExJGOZcdICVVnSCo1yvU+gTTQREosVeZxzgopWx7PrB6inh3y5uotnt1cZDLTo2KNVMxa30QTEi8y+Ednf5/1YYlnlw+hWykbzSIiVlrYlf/jJ5Gxxm+94ZdUAYs1CraPDHVOzuzwpdtH6Qc2heqQtu9ScYbMZLv0Q0Wgurg1zQP1TTKWgjBCSM7VNtnyiiqgXk9Jh+bBPVCxh7y8O4vlRGQqI7bbeWSoKa9wlEZYStS/C3Tau3mCno2up3RDB29gIzpqpp3JBggtxan4ZOwQTaSsj0rcaNWUz7SZIIQkV/S40J5hu53n5l6NrBvQ2ighWza6ozYJ1cyQ9b2yIqmkGgQawkyRvtr44ij3qhOHtjDqPmmokyYarzRnyVkhaaIhiiGGkZAMDM5ObCESoTSwt3LcCeqcObnG4XqLMDLI2BF+bBAnGvg6RMpS8kR9lyfqy9xf2+RYdQ+z7GPZMb5nYWsxychgut5l+Qf+DkJAaaFDtTwgV1fzbs3TsOyIB+Y2kCOdpGeqEAMzRTcTooGFYSVMTnYoZTwOLeyhIUlTZZ4xbGTQRhoiFERFtbH84jv+FV98x79Ct1KOzO5RrvX5UPkFEtSibY67nCaSeaOr/tCSA8SaOEpLG7tqtotEhcuPJThOUx7kxOZWRiS2Klj9BW2cd6sKrxamivwkJZVrCYU7KdndVHkxx7zG/tAva/QWNPRAIefEYvyoilSy3+Zlf44qDtq696b63HvsRwYi736JVJLdkOi+al/rgXLZMocSr6qNk4NUiz3KaJijlCg3bk2MPyd144DupweFXI8k5lC1lbVEkpj78927s12pc5C+pJjO8jUyqW/leN3PdIkF0gIkeInJX609xbs+/9fJltT86h3nrhBJjUY9x2ymy8aoiJZTi0sc67hWRMnxKEz7LDcr9DyHZEwAOjzV4PZmjTeducGbSzf4ePsBLCsm64T8aP2LPDU6zqd276PuDPgrN7+PYWTx31pvAuAPr5wlDXWaQZbPtM6y1inxi7yNH5p9GkdEnLV2SSSsxAW2wiIPlNZ5snadq4NpHsveIlrS+ci1B4h6Ng+fusPtdpUwneVfijdzzN1hKyyRbjv8uXd+ha81lviD5ft4x/wNdFL6icPaehUEuAUfXU/5hXO/zZQ+wBEJ81YTX+oEqYmjR/zs2rdzZWMKNxOQsSKu9Se5cGmBwkwfgBeXFzgzv8VHLz/IX7r/y7yv8io/8dXv4XsffIGSVSZMdbqBQxppSpJjSD4wd5GPdR8iowe8I3uFL3ESgEeyt4kyBi8MD/N48TZbYenA7xSgvNCm1chj7Flqw5RNEON8YGlKhqHFTX+SjBYyl+nwfO8we5slRKCBIdnqFpiud1lYavO2yjX+1avvYqna5Nr2hEonQRDGBhe6Myp2zwiYL3WwtJh26FLKeSRS/dyfP/Ys/cTh+faicinylftTu6XSv73YRCYCNxsiJUROcuB2xUDdetlMQDfS2ernmZxtszfKks95vGf2KtcHE9TsIVc6k5xfmaNUGvLgJ/4utqWzOiwzCk2O13Zp+Vle2ZvBCyy8jsPRwzssBybHfvefjCVgNd46e4svbxyh28uQBjq5+hDfs9C6ysdZ9A0CI1Ua8UyIP7I4Wm9QskasahXSTIJo2ASTCVk3ZDiyafWzpFJwrrrJhZtzEGmYEyHDrnKb2pWCUt4jTjTeO3+F31p7g3IRsyKGvsXt3aqyQNRSbn7v3+fUx34K37NUxJ4EJxceyKdmax1WNquUi0OyZshmr0Ac6shEY3amy/XNPJf2pnjk/pu8sj7L/CMb/IP7/pCvLB/hR179swAcKTfY83Is5tt08n1mM11e2p3lVqtGzgxYcNusDUvM1zosb1UxrIRzuTW+WD7KMLDuLimppmblWorZ1klN8LeyzBzuUpnv0G7m8Zsuhak+SaoRezpLS1skUqM1cqm5Q569sYQwUvSeQZJPSDPqtWYe3qJ/z3s9dmiZ9UGJ9maR0WmbSA7QBSRSeZrciMo81T/Fb33i58Dab4WOTS3UdIzEUSk4flWQWFC9nKJF4gByxTmT0YSG3UkU23l8iFiijf2IE0djMKOT20wIcxqjKWU8IRIOHKL2DTr2pUaJK5RPsg7FOwrtgkKLKmReFS6rn76W9bzf1v1m+tfxc5lGijkSDKc19EgSoYhOiSOIXIE5UrKnxFSEqDAv0H218birBRYk47B7IaUiyWpCGYwIcRC+oN53n90sD1rX+89pseRPYkr1ui+6ohKQGgbCSGmHGX5i9YOQwqhvU64oS7xdL89irsWbCjdoZAvcaVSxjJjhWp5dmSU8rJOxIpZqTabdHtc6EwxDk3OlDcr2iBfW5ymYPpujIguVNpae8E823s+VvUnCyGB2sQOAFxl8bfsweztFCDVEJmajX+TixjQnZ3ZYyLb551ffy8OT63xWi1l0G+yGBVaHZT48+RKPOqu8O3uZ3STHb114BBlrCDthyulzfH6X51uLPLN7mI+sPQJCIkzJtNnhby1+mhdGS5hazDF7h2PmHr+af4yg4/A/Hv4vbMQl5g1liziUBktmg0vhFA+6y5z3F7hwaw5Cjb5v0BeSHVlCCzT6qwWkJXn/w+f5wsox0o7FH26cY229SrbscaEzw7vqV3mpt8Buo4Ac6YhYIC3JI5k7hFKnleQYSotHMrexSNBEym+3Hudaf5KFySbNKAtGSn26S2/ocLjUYjByiKYklhNRygQ0NoogBXohpDNwWfXK1K0BGS3k+c4CViEgHFgHkpelYoMnS9e55U9wbHKPq1uq47AxKNLuZ4hCg0tb02iaxDRjqtkRRyt73OzX0bWUU8VtVrwqD+RXeaU/x/WtCZXdmwjikaGye4G9Xo5D000m3T5fv30IuxAwW+jxYy99PyfP1Pn+Z/8imqbeO4hMXNMjTjWyVsTTe0vs9nJknZAo1pmqd0lSjUYnhwBOzd0kyBt0I5eVtRrZsoeUArsQsLJbQQjJQq3Nrasz9N2EryU67Z0C2eqI4wu7XNubIO5ZMBuireUQAtK+icjG+Gt5Uidle5AnzmiqVRprSEOqFrMmldFDpDM71eV2v6YQ30gj7/qM+ja6kTDYzuEXQ+KOxW/3HiY706fo+jT7WeJIR9NTKtkRM5MKqRlje81sOWTg2Xgd5cZwfWseSiEy1uiPHJqtHKXSkOFAhSJU7BHSSjlT3yaWGkcnG9QcdW9vxGW+b+klMnrAblggTjVudmpM5fpoIqXk+kxn1LX/5Z2jDAILXZM8eGiNxUyL39t+gLwb4IUmP3n+w7x7yeXT10+TNmzKR1q0XJe0EIMmWR5UeWhigz/aOQVGyqCvxgnlQ22l54818jmP85cXEZmYbM5nkFHEIuEmRBXJRKbP6vWjnPn9f4jnWcAip2e3Gcx0+VjrIf5s7RmOGSofe5hq/MLau7lydU51g2JBnBXoniIa7edHSw3KV8ZpQxW1LloDqQqzJugesikuxyAhvxa/xhJSagJvQhXl2IX2cR09UMUVTcmE9HA8n5WQ20xILDW7dRvpQWtXSXn227PjeEINtHuq1X5L+95i+8d1u0qHrIUSU0JuI0UPUqSmYQ0kbjshcrUDV6zEEvTnVJkL8wItVufLPe9z7/sJKRUhi7FTlzb+728ysz0wA5GqsH+rx+u+vZyGypOVrkk7yHB+bQ4AzUzp9rJc60zweHUZV49YMFv8+p1HeOviTVrbRbRqiMzHDD3V1mv7Ludy66xvVThT22aQ2JzJb/GGhWV+qPYVfv7QR7m/vMHF5RleXFngkak15iod4lTnUL5JZZyiMjnVwa54lEpDDpeaPLK4SsUektUDqtkRV9qT/NGd4zzTWmLDK6EJydO9Y/xq+wl+4vaH+SvP/VmEUIYC33nfqwSpwe/dOsdGu0jft1k6vAMCjLrHz194J3/j/Pfyyy+/if/0wts4Zu7xrHeYnzz3Gb7joVe4FMxw0trjJX+ORAp8qZMVMTtRidvhBI9nbqGZ4+1zqCEGBoQaaSlShDIj5TM3TjFd6vHYAzdYvzEBAuX9PMxRM3pkjQBNl5w4uUF1qY2Wi+ilDp/unOOsvU5WhOikfGl4klRqnM5s8m31y2yFJf7w5Qcg0mi2c5TzI47kGkyW+kxPdJgu92hsFDl6dJtH77vFd514lalSnwfy65TNEZ04g6UnPDq/SqE6hL7BcCfLy9tzjFKbjB5yprhFEutYVkLfcwh9k1zOJwoMQt8gjnUlwwEcPWLrVp3n9xYIUp1/d/Ft6EIVILMcKPQQapAKvvMrP8ZUqYcfG9zuVjHtmKlSn4wR8mprlofKa9hazKnqLkJIRj2HZj/LznKFRAqKls+xWoNaZkjGVjP8IDLQhOQNh29zrTvJl5aPYoiUQlX9TOCZJLFqUR+eaHJ7s4Y0UsxMSH/kHMh1Gl6OUcdFy0Zkiz5i0kdM+AgpcLIh+qSHyMSMAou1TgkAMTTQuopNuz9HLpcH5M2A1kgl56SFmO3tEoaVqIg8TRJ7BrNLDUwrZtDMMApNhJA4bshMpctEps+F7Wne/cW/gaEn1PND9naKBJ6p5FWaiu2TYylSmgpkohFEJsVLOtb0kOdWFpV7mpAsdytoQvKVq8c4+wf/gF/dfCPbYYFDVoMjzi6Pl++gCcl6t8hyv0reDFhwWzxUWMWPDdxxy/4D9Vd5R/Eyjh6RtwOOVBo8kbvJpY4K3yge6igv6HqAGOkIAZuDAs9uLuIUA4SlWvyOG9LaLWAYCUuTDbrXKirTumPhXStBLsKueliZkPpcR5mSDDTC0CCNNAwjoellcK2Il/fm+Asf/RF+oflmNJRc6O31a+gjTcnDrhoYI4k0BKm+jyr3o+wkmb2Uwu30oIDoofIcNr1x8ZG8dp46rg6DOY3EAbchSXXIryWvYfBmd1JV4BwIiopcFeYUUkxNMXZ+4gBRquACqd4/vktSUgszd8/lmzwexOyNvZ4NXxK7GqYniV1BkFfErdi528pGKhlVaoI/tofc//5+lCFw4OC1T5bad+hKrHtb4OKureWB9OgeRPwtHK97pPttZy7zuSuPIA3JzZtTIAWLS7vYesxGt8jmbon3n3iFvIj4H+0n+KvHnuL3dh7EbBq85ewVskZAI8hxOr/F9eEEv3T9TchQ43a3RtYM+drGYd4+f4OPdh4lo4V8efsI5coA14xZHZZJpWAvUFFt2738QXIJQhKnGrujPG+euEWQGnxp6ygT2cFBYkzR8nlf5VV+Z+dRbverPDtYpOj61EoDgshgvtThiLPHV9pHOV7f45HyCr/y9FtJpwSZkoc3sJGBTmimaIYyFoikxu9uPcy1lSmEgPse3+ByOMlKWOOsvUleRCQIvi13mZf8ObIiVGzKjMWo7aqLzk7Jl0YMLeWoMxw4dDxHZc8e3aMzdAFo7BT4dfcJFnJt8jmP65fmlOerk7IS1vjO8suUtJDluMgLoyXuc9dIEJy0N/mxC9+PoafKkq8eYJgJO3tFPuGd4dsWr1A1h/zunQcRkcbN69PMHG5wNLvH98y9iCkSuonLUXeXSavHlcEUo5GNzCQQaQy2cnw0+yA5K2Da7VGv9Gm085yc3eZSZ5beXg5hJaQjk0NzO6wbRXb9vNLb6pK9S3W0+yRB06U9mUFbd4inlEk/Vkqm4NOPbKYzPfxEOZkVsj4z2S7nt2cIA5PfbjxM7Bk8eGwF3UgRY9ZuabbHKLC45TmUMx66lh4k0Twxs8KOn+fl7TkGjSyZyoitUQHLSOgNHcrlAdP5PrcaVUZtl9pUj8n5Pte3JhAixZkeommStbUqmbJH1gnJ2wG32xMsLe7SymYYehbR0FR2jKmDZqa89/hlPh8fJ/BM3FyAEJJaboilJez5OQYjlVAkQg3yEUmiYTgRsWYwUetRcUd0Ri7zh3cYRSZeYBFFukLuXo7RbpbrXZeVH/qJg/t28Rf/pZKNGCnppHIF03V1DetWwmShz53HHERgILsWiZVyuTGJlILbDbVJmi91KJjKqWvGaLMWVrk5muAd09dZHlWJpUbNHvK1vSWenLzBUqnJ0ewevdjhmd4R/vrE5zmcbXKpO81DpTVGY2e7NBWcqu3wwto8upEQA3Y2ZG+7CAIePLrC9cYEI8DrO1QmekSJzs3tOmktwtyyiGoxesck6ZoEnkFuckB/5LCTyTP14DZra1W0gUG+OmAUWPzEyc9w1t7kc4dO8W++/i4+6jzAP3jo4zyeucV/Tt9Ddk1gDpR3MHB3zig4sHEUiWL37hOeUkMchNknlkaUAbudjMPtVYiBBCpXYlonDMK8wG1IgrxCkloIVlcymNaJsmNtsKZeV4sh1cEa3B36/rF2sfyGgsvdAnjvcS/yPtgU7Et+xu5R+1aUWiyxhndRapSVd9nKpppbH4Q4fON77RdanYPowf2Z9f5nFjtjpPwN5xaUv3X8+rpHup+9fhIhBXoxRIQamq9MBTZ7BYZdh1q1z0c7j/KfGk/yha3j/M+dh5jLdGBxxOFMg+u9CX546ku81JlX+admjJkP2Vit0gttzkxsszyssuGV6MUO9cyQ1naRzZt1bl2eoR/YNL0My60Ko6FNGJjEgUGaqDlkwfbZC3MEqYE/1qo+UFin6PoMY4tf23oDTT/L9fVJOp0sy3cm2FmucLjc5P+a/wQf3XiQ75/8Oi0/w3/54tsw+jqjlQJRpGM6MegSoY3bKZrkB8//ELefXUDrmNAzGCQOdb3H23OXGUqDtbjI5XASHYkmUvaSPDO5HkJAfbqLVQo4Nr9Df6VI2rYYrBSV7aFns7JWY6+jWqIfPPQqVk4htC2voNyIxrtD4ems+RWaSY61WJF5ps02JU0ZWXxxcBrbjJkvtEldlWuaxCr5JQwMnto8ypf2jtHZzSNCgT7SWMy3eX/xFbJaQCR1bg3rnHA2eTCzzM4oTyYT4BQC6vNtsFNW1mss5Ro8WrjDTK6LpqVc25zkXWeuQCR4+4nrHD22BaBcqEwfDYnZ0UkdSaObA13iJwZoipEsIoGeibGMmN1+ToXLmwFHik2yVsj6oKRQsRVj2RHZsscotnjvsctkXcWo7nYyjHwLQ0vZbqlIwnNzGxyr7vH5r9/HhevzjIY2ekZlEK/uVuiPbApZHz80ub5dB6BUHzDwbHaHOaKehT+ylAGElqJnYqq5Ea1OjturE2h2Qtke0R866LqEWMMqBehWQibr80pzljAwcDIhYWAotDzIst3Ps9opMVftYOZDpJVi2DEPH1plojTg5Pw2jhGzPcgz7LhstIvsdXL4TZdgYLO2WWFlo0p9oc2h+b3X3LdmOSA3OaBcHmDaMcdmdolDnWpxiHEtw+3VCRgayvEqo5iyvYFLt5PBa7tkCj5xqvHcyiIFw+cVf5F+4hCmBpHUSRE4ekSU6rx54haPZW+R1UM2/BI3+3Uutqb5un+I05lNvmf6RT6xcYZXR/PcX94g8kwGsc3heotoaCEzieJ5RBqFypCfnP8kuqY2uofn9jhV3WWwXkBuO2hNUwUTDHWC6Qi7qdaB0dCmmh8SpTrr1yZwx7aeFXfET5z8DGtRBQ3Jh/IX+eQ7/i0PLazxD7/0p/iF9XdjHe6rlu84fP7eHFp9JDBGiiSkpD/qKSHVz+8zk1NdtXzDgj5O3Rn/XCIxRgm1ixHlGzH59RjTk5g9xuxdxWjeTyHSAw5IW3qk2s5WOzyI6DswpNBeq3MF7gYv8M1JVfvnzT3F8O6jKsD76FaLJWHhruRHi9UmIbFVGEJijo0wDPHajcr4c/vG99xvfR+4Vn2j1OmbbBb+V8frHulWykParRz1cp+dWMPOhLS7WdJEYLoRC4U2n109SaeR48yRDd5UucWvXHwj5+Y2WLAa3F92WI5q/ND00/zEKx8mCg2V9uNE1DNDXtmYJfRMzh3awNYy7A4VShJuzHSty+ZOiYXpFu9avMb51iyr2xU0SwVlD/sON6I6rXyGN0zcoZ5TEohbozrfPf8SH1l7iKwZsnxrErviEQWqtSsNyVymw59/8Yfwmy5/c/NPw8BQN4+lWjZyJYt1rIddHSKlSoVJEo3BShFZi/mOh14hljqf2TnN74YPUrAC7uxWiXwDAp3aXIcfPfoUJW3E5c0pND3FEybh0OLW6jy46d2LM9SUVaCTEO+5NPZc/kf3Md577AqtMEMvciiWRvRNh6RnIc0UUyQMUxtTxAzTDJ9snuMvTn2Juj7kcn+ana0SDSdPba5DY71EeaZL91aZqAS9lSqtWgGtr7Sfkyd3iaXGrXACR0TM202q1QEXvXkiqTOfa/NIdZUXmgscyrf4citHGuncHtQ45u6ykG1zy60pSQ3g1D2GicWk2+daa4IHpjc435hV896JiHKtT7erNhGJ1IiryvxezvukTRvfivG3s2CljGKLlW6FdjfLG5duKfep0MIYRy/e9OusNCtEoWJUY6aU8yP2msop6U6vgi4ka6s1sCTlyZ6K6vOUoUghP+JEZY/nVhZJBibziw22mkVGbRe7EGDqCWdPrhHEKjv21QuHqB5qs3arjsjFEAvsQsRKtwIbLn41AiMljnQy2UDZMWY8sjmfYd+hUFAExP7QwXVDRgObkuszW+vQzTpM5AZ8e+0CT5vHiKXGU8vHEX0DoYEXZtALIZiq5W3bMSdqu6x0K/ixwQMf/3ssFDvcV9zkXUez3O5XubNXJU00RXIsFNnZKyLnQ2ZnWuSsgGsrU0rykY0p5kdkrQgvUsyeij1iptrlqe1jVNxZvr1+gVnH4qu7R7D1mG7gMAws0lTwGfsU3YHDVLnPILCQUvCbG4/xdw59ks/27qMzyBCkBi+15hGa5PpOnSgwEL4OuYhSYcTATPjTSy/xM6sfoN9TTO73TF7hmdaS8hTXJaklCXIJWjZG37GJTozQNx3Kc0MmMn0ubswgcwnz5Q7rQvJPlj5GVQuYN5t8rPcgf6b4Inkt5d8s/D7np6p8rPUQaV1jRRbuFqwxW3m/KLp7d9HtvW1TpErqOSiwqTKVkIa4hzU8fi5O0aSgt2iSX4vRYkn3sK4iBcN7iqgO1jAlNQSxLdASSDLG3VD4cXEE7pKn7k3zYf+5P76W3038OWBCHTxn+Eo+JAVErmIqpyZgCqze2AkskaRStZ29mobdVeYZJOI1s+W77/faWa6QY+Qu9jcrEi2SxI6G1f/WzZdf90jXMSLmD+9RsAJmJjo8NLNONuvz4fte5vjUHq+sztPtZKhN9uj4Lp/dOYVlx7yyNscLg8PMWW2+0jnOX/ujHyCJNdJII2NFTOQHXN2cJAoMnGxIiuC5rQVmcips282ENPtZEOCPzc/rriJACFBidqlaza4ZYWsxfmxQdwYcz+7wxswNsmZI1gy4/9QKTx66yd98+I/4sbd9jvc/fJ55p8VMuUttrsM7T13FqHno0yNKR1qktYi4kDBsuTwwuYE3svFariITpfDwqTu8q3iJTz93P7dfnGf3ap3lr80TNx2cXAhGSnOlzGl7g3+/8U5SKbCtmMGO8vYVEmQmwaj5aLUAbBUbmA4NyMdoVRWrdntQ5VCmScH0GfmW2hxKEJGS4fxR8xRrUZW1sMr3Tfw/7P13mGT5Xd+Lv74nn1M5dO6e7slpZ3NUWuWAEEECLMBYRFtY8FyBjWXZAiOwjcO1ufjauoAJIhsEQmGFslZ5d7Xa3ZmdnZ3cPd09nasrV518zv3jW1Xds8IYcX9//B7de56nn5mucOpUdZ3z/n4+n3f4GrlBRugz67OodkTckfM/o+TRWJOtu+pYh9hOGZtqkdgJiZGw287w3OYUqkgpqn3Oe3M83j3MV+qHea4zzd35FUxFunyV9R6mHaLbIbuuwyObZxjXOzw8e43b59f42sYBitk+Oc2nHUoiz/3FJZpdm2TApG1s5UnrJqgpLc/CzElThLinkRoJbtOS8+5EkKSC4+VtECk1L0ve9KjdLNLoOCSxIN228JoWmi6j8FBStjaKOFmf6liH9bUyjh4wNt3kjpPLdHsWXqAzP9YY5f/e7BYp5KTOV1UShEjJlF3mKw26nkzLOZrf4dyVA6ROTG0rj1HxULUEo+Dj1m1qGwWSCR/dCVDtmKQnzTCmSjKC8VCpzsm5TRwzoNuzpNQsEYxX2+y0s2w28+Qtn61OjvO9WT535RgN30GoKWpfIdUTilNtDk/UUO2IHzz5dV574BKHszW+b+EppjJtTD3i3OIsx6wN3FjKrzK2HC18cfEInmtgOQFHDm4x7nSouw6GE6JnAiw7oGh77LSz7NZk3GGQqGzW8zT7Njv9DK3YwVEC1ncLPFhd4ocWnuB4dZsfPv447zz6WX7w5NeZzTaZLbTQ1ERawKYqtzurGHrEJ5dP0nItKpUuP3LycZysz4GjW6SeSsHyZJ51e5a65+BkfV568DpXehOstIrElVA62OVDjG2NtG4QOwlixebgXWvMF+q0AhvDjCAUbHZy/Mk9v01OhChAWfF4UeYqX3IXSIAQOKTX+ScTn2GtU6A7NwSiQdTdYEuMFHt3L7h96LA0rHLVIL0lDlDEKX5hoAYYsItTTdA8aoAQODsJIknRu3LRnRiAkFWkEkqzimFkXqJJJrFf1Pb2nzDQv+695i1yof+Jd/P+CnjvvezF/iEG8qJBRU0KZnPfvpK9alyJJPAHOTGoeG9dNOzP+xXJXlRgaAuCrIJbkhm9qSJk8P03wVyG/xeA7uF8jardpRsaBLGKrsQoIuVCawpFSGu/XMGl3bOo2j0Wb4zzntN/xauOXEYRKf/5y6/lc0+fQm+pHJncoVDqEUQqW+2cbNsClhGyVC9j6RGXd8aZKrUJAhWvY5L2NMp2n4vNSe4prJDPuQglQcmEZPMuR6a2ub24xo1+hR868ASvLj2PLmIMEt535H/wfRNfJ0HwjvFHeXP2InfYy3x76SxPNhdYXB7nhw89xmfOn+SlC4tEuzY5MwAlRSsEGLmAC7VJZscaKHbEP37gUSZPbvPMk0dYDMZJ9YR3vPHjUg6SgtaVjFStrqN2FN76xX/EzZZkBne7Fmou5Mb1CfRDHQiFnP2JFM2MKR6uo+cDrKzPRLmN8BW+b+rrKCLlaHabakGySUUoSNWUR67fxtkBqe1Be5HHukf439dez3+vvwhdl+r0/GSHZtshaP+4qHUAAQAASURBVJsykCIXUdvOc+89VylYHnrR5wdf9BiGETFVbPNH6w/w7xbfwO9efYhLrQkAcprP6zLP8yOlx3hl6SKaknDn1Brz43Xmck3cSEdXIu7IrPLs8gz3T61QMD12fQdHC5gv1PnU9imSWKGY7yN6Kqoj2aqqE1GwPPymxcxUA6WvIuwY66aBiGW7OUg0vFgj9lX6ocFyo4SwYgJPJlMlVoLwFcJAo1jokS/1yZRcLnzne2m2HZZ/5F10A+mHvdXPksu6TBbbrO4W2annCUONMFEYy/QYr7alob+akLV8pjMtSo7LbKbJx549wxvuPI9QE7LlPkKkRE0D0wzRcwFaJpRmD8DtczeZmd+lmHFZqxX5yupBVlpF/Fhja7eApktDj/5WhqwREIYq/pbD+m6BViPDo2tHSXo6O26G1FNJD7jo+YDXHrjEP5z7Ij9622PoIuaRa7ex5hb56Nrt9CODzY0SxILfu/kiFFJavlz0KEqCaYWYlsx5Xnx2hhO5LQCqhS5pohD4OnGi4PcMdDtkfa3MpZ0JwoaJ2zO4rbzJH1+/l/c//wBh1+Bqd5yn2/Ns9PL82Y17mNN3OdeaQREped2j0XakF7aIeaq3gG2EI7mXqUX892dfQpIIqTNOBddXxzlR3WbSanO4UOPU+CZurBOmkngm1ASz7EqWfSCwdlSW/9HPkcx4uKHOUrNMxerRa9qgwI8cfQydhJyS4KUK/UEP1EsNdmIDRwjWoxyOSKmtF4jtRM4pU2l+Ic+1vfbxfqbtsOIdbvuJQ8qQWLRv/hobsiokTdF78lqRqns6Xa0/ZAODGLZ1B4/RvBQ1SPYiB9N9P/t+H5K4hpXl/lYzDNq7irgF4EYz3XjvMSIdtJIHpiB6T7K0lVi20Ifa5MQYZg3Lqjg25GJh+PrDKjwZmF+EGYHuSvKX2ZZVrVdUGHkvfxPA+y0Pul6i80DpBiXL5eGpa9hqyHtPfYTr21WW6mXcQJcXqHKLBIGRC3iqt8CL81cBpMOMlRBN+yzuVOj0LBwjpFdz5CzLlEk/hhbhRypJorCyUSaJVcYmWmiFgJutAu3A5NGdY8SpIIlVVD2WBvmFDcJUZcvNccZa5YSxwYTeIkDh95sPsBqWeWnlKr+w/J18tHeM3TjLOfcAK+0SP3zvV2lFDscObgLwL1/5YUw1YrzaluxmkdK+WOHmTolCoc//9fWX4+ghSTbmty6/mJ948Iu87/zLUPoqYTYlrIZEPRntFeVjlG1ThpMPNKVxV0PEArdloTgywiMJFZJYUN+Q4eVJIlhfK5NmI3KKnEs9unmMg/k6Dx1cRK0O3Hl2bOINm0PGNo+7h+hFJk8tHeCR5dMUbWmE4JgBUc1Czcjc1R+85wl+8O4neGX5EneWbnLn3E1us28SBBqLN8a5eHWGlUsTdJcKbHezrLXz3Jdfop9qXA0rnDA2eEvxSaasFveVl7HUkJZr8Vj9EB/bOcONv/9uFjsV5jJNrtTGeXnpMk8vHuDS6iRhw6TeyEgJxo4JAuKOzs16EbQUWw9RPEHa16Rhhx1DLuLq1hhBolGqdDHViKzlk4YKaahg2CFaPsCe6jIz1qRRz9Jp2aMgiOtv/ZcAbNbz6GqMpUXoasLKVpnQ14hdmUykKwlls0+cKFSdHkms0O5bfP7sSbZaOb64eIRD89t85tpx7KxPNdujlOuTmexxamyLSrFLpdilONZlstThZqdIo2ezuVNAKClhoNFsZNjuZDHMEK9tMjHVRGQiWp7FsaltcrNtwp7UJTcbGaYXaoSxClrK7bNr/Op9f0ovMpnUmix7ZT66dhtRqPLEjQXiVBAmKqcPraE2NZZujvGF60fZ2C7S7Zv0dzK4fUMGJZgBqZHyJ8/cT6dvcTBfJ+rqxKGCqcrFmmFECDUlihRERt52rS3HB3GoYhU9nlye53JznFdPXSZjBPyXtVfzzOUFzm1Nc6NdJqmbdHxZMn599wAF0+Oth57iWGWHe8dWmKxI+08n48mWOVA1exy1tzm7NcPZ1VmeXpul7meIU8HsZINqvoeiJ3iTMd6kRIqxSod+oHO4tMuTVxdQ9Bg953PC3CBEoZ5o+KmKSoouItaCkryupSk5xePti9+Ls6Rjb6gjD+EhCCkRI9KQEu1l0MoL26DdqokBYUiihhJKVrBfkuf8cH5pb4cjhm6iCtyKJi0gYxmBlyqSHawMXjuyJZlKDV9AlBrG/u1HniHAij1QHQIoMCJF8UIt7wDkQbKzhyH3spKVM2XVk/uPrL33kmp7wMwA7BNNjD6r/aENUqsLzpas7NVgz/HKbCUD0hm3zHj/V9s3BboLCwsIIb7h5x3veAcAnufxjne8g0qlQjab5S1veQtbW1u37GNlZYU3vvGNOI7D+Pg4P/dzP0cURbc85vOf/zx33303pmly5MgR3v/+938zh3nLttYtMG/UuK+0zPVulUdvHCWveOQzHr6v0avbbFwdY71eYKkuL2Z/efFOPrR9F59cPMn8TI1cucfsRAMY2DCqMUSCxauT5DMyuF1VUjq7GbyBHrSQ79FsOwiRkrN8VJGy1cnx0PQNXnr4GnfP3eTtR7/E9a4kvrx6/BJPuod4pH0nn2mc4su945xrztKPTc5YN3lZ5Sof2ryT9bCEqYS85cAzHDS3qeodcobH5547wWfrJ6lYPcRAxuK3LBItRb1hMVuQWkjJ4IZew8ZRfXIZD226jzHXY2yqhTBi0glfRqml0NnIISKFJFApT7dIFZnGMjPelGAYKaRNA6WrIroq4XoGtaGhtDX+YucedoIsq+tlvnLxCOe3pyWoB9LHOnESFoNx6lGWVxcv8Ev3f4TvO/SMTOjZNvBDjdSJedHBRV58xxU+euM2Dpo7eKnO+eY0Ld/mq50jVPM9SCV7NjUTxo7XaDYzNJsZfuPaS/hc7yRf7Bznq/2jXA0msVXZzn9l6RLVbI8zhXVeW30egEdf+Z/4yupBepsZPrR5J7OTDW78/XfjTAwsB/sKiZkgCgEiVPB2bYqVLsvbZRIzRQSC5IArySRmRNA16AQmWTOgFxrkDB81E1KsdlHVhMjV6LdstltZDDuEVOC3LObf/+9H3+FcRlZDbijb7eViD8sJyFd70tg/FTy9NstuLYejBSSJwkOzNzh0ZJMzU+uMl9toIuHY1DaqmlCxevihRm/X4bmtKTY3i9QaOZq7WVZvVIkTQb9hUyl3iWNF2lAW+zhmwJ1Tawg1ldKfXfk3uvT8HDnLlyYmkeDOg6vcU12VBy9SSobLJ5tnSBD8x9U3cKE+xeZShcRXqZakgcTi1UmevzFNnJXM+LgvnR0iX0PJhqSJYLrUkvK9XIhqxnh1i4eK16WNqa+ytCP5Er6nk3qqlH8VXM4cWMeLNKqVDuVSD8eS44Bm3+bjN08RJgqXdiZAS3h49jprN6roLYVW1+bR7kmCWOVkcZNWZPNgcZF1t8B0tsW006KS6TNZbjM+3uILK4d5ZPMMipKQpoJqvkeUKEzkulTtLs2+TdzSSbUEsiEv+tS7mM01KdgeS00ZevC6Exf57uPPMq210EkYG3gSXgimueRPM2M0+Ej7Lv6qd4w/rj/IykcPIhJptzgEvtiRwBbmU4yWGM0f97d0R9VtulelDm+XwAUMqj6tF49sGIdOVXo/QXP3gzp7lpPRnowmdBTZ9t3PUk73EahGWtjhfbeWjEMwJk1vAeHBV2uEYHvBBOnIIEQZyJGUcI/kpfp7M+1EA6sZY7RjORPeZ+e4v71sdmIZ4gDfQKD6u2zfFOg++eSTbGxsjH4+/elPA/C93/u9APzMz/wMH/3oR/nABz7AF77wBdbX13nzm988en4cx7zxjW8kCAK++tWv8nu/93u8//3v5xd+4RdGj1laWuKNb3wjr3jFKzh79izvfOc7+fEf/3E++clP/p3e4HfMPMtlb4qdIIejhUwW2/zX9VfS6thEgSYvFIpM+DC0CCfrk6Zw7unDhMsZNpt5PE+n0bfxOyZpX2W7nZV2c22V2m6OkuPS6tpyX65KEsp2X9jTCVvSuafWzjAzAL7Dzg6359ZYC0q8afwcthry7blneZFzlY+vneLdU59gQm/xUHmRG26FX772Rj65dQo30vlc7QQnzA1el71APzE5bGzx/RNf470v+RCXdsc5vz3F1nZB+spmA1Jd2qVd2hjn/qNLWGs6akdFbWj8l8+9jrzlE+7YhCsZGuerpD2No9PbMsjaSiQBxIkgAVuX6SOxr7LbdXAcHzPnk2ako05qySSRdNInyUc8sbTAlpunVOkyP1fjzPg6ubEuxw5tYM92yE50ebY/x4TeYtEf58M7d6KQksaCeMKneaMIocKU1WbHzdLeyPF4+zCHjG1OFzaIUoWvbByk3nVkJquSggJuoHP7/BrZnEejkcVPdE7Y68wZuxw1NrnNvsmKW+aMeZMxu8s9zhLfnr3M/7h2LwC3T61jVDwWt6q0XNni7DdtxJZJMh6MtKqiGICaoigJ0bYttctmQtyWC6+wbaBaMW3PxIukxnZ5t4wAmrtZAl9HqCljEy2EkEEBZiZgZm6Xhbkd7nzkPRz7819CUxNMLcLSItJUkDFkZWXqEf2OyVY9j2MFHJjeZbOXx3Z8Pnf2FIs3xnluc4q2a3E4X+Py+gSdbemW1djIY5dcWQ0KECKVWba5kOPlHaqTbTp9C0VJWN0u0V4qsrVTIKMFpL4kAarTfVQlIXUi1tbLKE6EXvB5Sfk6P1n9Ai+aXOKH734MRaTMmE22vSzPnltgbWWge877RLFKxgiYXNjFzARgJHS7FlomRNEGVYyaoGoJYaxyeLxGodBnbrwORsKvX34pia+i532SWKWU74NIee3d5zHtkKlch6zu0/cNdjYKdF0TQ4txHB9FScgYAYYa4/YNytUOn7p+nMn5XYJKTMb2+fLOYWqtLJ9aOsGGX+DD63dwrV5lu5/DjzXqPUdK/2pSunV9c4y5fItsxiMeBJpcvzlG3cvgruSYPLjL/MEdSuUufqRRc7M0+zatjmRc//TY5/iOwtN8qX+UrTjLk/44N6IK62ERL9U5bGxxf+Y6j7UO8/G/fBC9k0pLx2HdIgbt1kGbOb+c3Gr+kPw1ALhvnpkK8Q1BB/s3MQBmzZUlc6pIq8mhf/HQJEKJpL5VxCmJsVd936pvFXua2Re8Bvz1gDvchtKkUVW6n0E8bKMPFhJqILXIiSorcFJp3CESaB/Q6E3qf034wgtf8BsO81aG9TcBwCJN/2epw//r7Z3vfCePPPIIV69epd1uMzY2xh//8R/zPd/zPQBcunSJkydP8thjj/Hggw/y8Y9/nG//9m9nfX2diQk5c/v1X/913vWud7Gzs4NhGLzrXe/iYx/7GM8999zodd761rfSbDb5xCc+8T89Ft/38X1/9Hu73WZubo6f/OJ341t5bDVgxmzykbUzNHs2vi9bYUIBTZeSlHyuT6OepVDs01opQD4kjRWUpkZaDdDNiFKuT7Nr49dtFFeBqjQ3nym02OrkaO5kEVrKK05cxlZDbDXgS5uH2annpJTC7JLRfFb7JcatDtteDi/WmLQ71PwMmkgw1YinN2fpdiyKxR71nTxm1qeYdckYMiz7P899jN1YsBVnueDP8FjzMI8vHQQkKJKAU3L5+dv+it9YeRk/Nf8o//xDP8jUHZvSezdRiNqGjA5LpEVaqkJsS5MDpb1HfkhKIaKjoU+4BH0dfBU1J00E5sbrrNWKxJs2iROjuCqpnqL0JVtz/OQOXqDj+jp+w5LRXMWAqKvjVPpMF2Xs4e25NZ7vTnFv4Qa/9sXXouRCkp4m91cKSPsaii+rzH/woq+M/s5f3jks5SOxkD/AHSeXWcjucq0zxpTd5q3Vx8kpHl6qY4mQnAj5SOcOOrHFAXOXGb3OGaNGJ1HZiTP8wc6LuNoak7nGtstWJ0unngGRkiv16WxlUXMhcU9H6DJ9RmxaxEVJglGLAbGrIfoq44d32Vopk5vsIJARbXGkSKDIBjI+rtgjb3mEsYqjB4SJymYrR872aXQcTDOkaHscLexwvS0XAs3tHNNzu7iBjqbKC2CtliP1VfRcQBSqZPMuAmhv5lg4vMXyRgUSwYNHF7lcHyNv+cxlG2z18/ixhqMHbHbkInJ1pySP05OacjPvE/oa//DOL1MLs3x+/SgAFafHbj9Do+2giJR/fPsXyCken62f5P7iEhtBkYLq8rXGAistaWeoZGWHZHaqzmy2ia2GPN+YYHO5grBi0kSAr6D2FNS5PkHHYPlH38UdH/15ZgotLlyZJVPt09vOoGTlrNc2A3qulE7tbBS478QSN1plDuQbzDt1lnoVnl2dpZDv0elZRIHG/NQuyxsVFDXlpYev0QlNnl2b5tD4LoYqQ0kub4/zbYcu0AwdNtw83YH/tSJSdjoZVDUhDDW8lmTvD+1j41igqrI1P1ZuEw0kgn1f/r3mSw22e1kyRsBWO8d90yv8+PgX0EVMToQ86R3ggjuLG+tEqconLpzmQy//bzQTi9/bfglf/MIZssuSdav6khSU6HskqkSHyEmZemxPy7LfJ3m4DVN2hsYVckaaElsKWj9BCZJR+zdVhyCqIOKU5lGDyJF5vMngdY1mOiIsDStiJdpbFPy11o77Wsl7Olzxjb+nKQyyb1N1z/xilHM7bB/vu1/KguS/o8B7AeNPudTO2BidFK8sqJ736c4YqEE6Mg15Ydv4G4Lvkft1KwJtx+WpD7yHVqtFPp//xve4b/s7S4aCIOAP//AP+dmf/VmEEDz11FOEYcirX/3q0WNOnDjBgQMHRqD72GOPcebMmRHgArzuda/jJ3/yJ7lw4QJ33XUXjz322C37GD7mne985994PL/yK7/Ce9/73m+4/Usbhwm1LJYRcqq6xT3VVZ5mjo6a0GnZGJY0/r9vfhkv1jharmGrIc+pCW6goygJxRmP9VqRoGOQqTTxTY2FY3WWdirMVpo0XYv5bJ3tbpZctUfO8lnplSgYLrNOkzOVDXYyHeadOlt+jpV+iQmrw4efuRMU0O2QcwNmbLprkhoJal9B8wS3H73G5zcKqGrC1kYRYsGSVeXntVfz4vxVbgYVnu9O8dUrh3HyHjnbG1VDqzsl/njzAd48fZbVsMyhe1a5dn6W8eM7RLHK3Owaz61NE7ZMlGiQ1qOm4CsSOD25+lPNmNhVCbqGZBWHCooi+031nkMx36eeKCjbctYpfEHiJGRn2sSJQsH2aK7lUXsqiJQ4oyA8hf5WhpoWs5Ctc6k3wT+d+iReqvFrAtJICg5FBImvSscjO2Z6fpfD5ha3m2t8qX+MQ7ldJo7L7NnN5QqIlDdPPMVKUCXIaEybTYqKy7wW0kl8QgQqKVWtQy3M0ogyVNQu3mDZ6ig+ryld4EL9VXRdk5lci07DIVN06a9l0SrSLzcJFKaP7rDTzBK6OuqMi21EuLs2SSQXMlpPYXtHnoCVjEwEUkRKs56RYC1gYXIXTUjG8WqtiG2FmLr07w4iVVagasxWM8dmPU82I8H5nhPSb7t1rURSkB0IYoFV8ijnemzX83iuQbJmQybhdHGTlmvR7Vky+SfS2Gya1LoynL3fNWX6kS4D1DU95tuOXeBjl2/jDccuYCoRX989wBONBW52inzbnMxMvl6vcsfEGva4XIT913MvJzc4xnOb0yhKSt72aLsWWctHywfMVJusbJYJYpWrjTGCSCZN1fIBcaAi1ITcVI9OyyZnBRKEgV7fRCsm5Ma79Psm+ckOqpLQajkEvk4+18cPNe45fgNFpHT6Fue70zQqDi8Zu87ZpTneMn+O99z2CIf+5N+y3c4yPd5ko1ZgvVdAVRJCV+fypRmW3/5zALzoU+8iTFV2/Cx116HedrAs+V77DZtM2ZUt/4k2PdckjhWph1bB7+uUyl3GnB635df54NU7AHjNwmUutSYomB47vQx3T63yUxOfxRERqkj5XO8YYapxuT2BG+mst/NkCi5Pewe46E7zha/cRmZjYF4xABvVTwmzArMpiUIo0N/HYh5to5mp/M8wNk8gQSbRBAoSHCNHwQgTvLKG5qX0xlXUAOyaRNBUyHB7NUgJTFnNJoa0aEwGfvciFujJYP+DdrJ8rrilmkwZzlxfALbDYwQYBA+IdM9SUiTpHuAyBPU9BBYJxLogKIpb2tI7d9lo/RR7NyLI6fSmdcx2LN2n2Nf+Hn5W+z6j/WQvkaSo/jcx0OX/Aeh+6EMfotls8sM//MMAbG5uYhgGxWLxlsdNTEywubk5esx+wB3eP7zvb3pMu93GdV1s2/5rj+fd7343P/uzPzv6fVjpNnezTCz4vHTyOlt+nk0vz+nyBk9vz5FGCl7T4lde9uc82jrBpd0DVDJ93FDnZGWTr1w/TBKodMhQrHSxyiEZPYAMbLTzhFs2S57Gsbktbsuss1vKUDJc3FinG5qUDJdeZHLE2eagXWMzyGMqMW6kc3ZnBiIFvejxK3d/iF5i8GjzJF9onELJhiSxjF0LE5WFg9vcWB0jV+nR2cmiagmPrS9wrT3GkfwOthpy/9Elmr4tg+8jlbV6ge8+cY4/e/I+Lq1PIJSU37vvd/l5vovdngNAzZX7uv/2Kzy2eJAkVKQ/cajw4InrBInKSrtEGKn4RkQYaFh2gHBkZmuvZRG2TI4c2cSoxKx5ZflFjQTCVenUM5jjbTabOdDknChyQNUTIidGbWqjpJog2btCTC/UWF+sStMJBaySRxwphC2T9cUqh49tEyPwUo2TmQ0UkfAPJr7KR6p38Ymv3SFJKKlGPzbwEp3NOE9ZqWEJsEi5GmXRRcQbC+f4YOMeTlpr7MQ2logIU5WjxhZHijWeDabIGy52zqfXtNGrHo2tPFQD8FW263lKhR5tJcXvmHi7JlrFJ96xUAbsTKVm4Bxu0XItxjJyljoxIX2UbT2k1s0QhBrTpRbHJndY2i3jejYvXlji7NYMQkCna3NsapteKE0zbmxVsFTZak6sBHyFiYU6OdNnq5NlfbWCWfAIthzSXEx2vMeX1g7x0plF2pHJ0xtzBIFKFGhEmkrU0VGciFK5S881UZSUmUKTp2tzVIpdmqHNY0uHiCOFysEeqpLwwcU7mCm0OFyucaE2SaOexc76JDWTZttgZqHGiycWeWz7IBu7BQwzpNWzSQYyqtvn1ziV3+BGX8rKnqofoFLs0vVMDC2isZknN96V8qRUcPh//BscJ+Ch8iIls89Xlg5RzfYIY5XCpMerJi7zifVTBLHKld0xgkAjcHUKxT6brRyfCk8g1JR1X16fclmXeydXeXx9njQWXLk6DXoiPaTz4ei72A90PnPj+ABIE1Q1pWhLgqA6lqJrMWGkUt/Jo9shUSTQ9ZgkEVSrHTKGDN74wtYRSrk+phrz8WunODxeY6ef4Y7xdf63ic/gpRodBEURUI/kCKDp2wiRcsfEOt3Q5AvN42y5OZw16QiVqDI4PjHkrFKXAoHB73KsdEt1m3Jra1kMPZDFSCozjLgbzmeHFa5fEPRmBGYT7BqDSjjF6KaEGYHqShvIRBv4Mg+rTzEkd0k96y1VZDKoPIfs33TvtYfgO8zAHbahU0U+LxUDEB0QrPYC7/eToGTVbfSQoKvssZhRZdJSkJOBFW51GIeYMkovSPcWJ6NuAOnIrWq4GZ2E6Jswx/g7s5d/+7d/mze84Q1MT0//XXfx/9PNNE3y+fwtPwCGE7CzWuKp3QOcya2x2ikyb9WZL9SZmakj9IT/dPU1HLJrFGy5QndDjavNMcYrbXRbkjZ6fSnbaPsW9Z6DqUfcf89VXn/qeR6qLFGPMrykfA0/UVlwdhmzurixFOmHqUojkkA3YbYpGC61jQJaS7ac/rJ2Ny+2b/BPJz9FaiSksUJqJMRTPteaVTYaed5w5jlOVLdBTTk0UaOzk2V1p0QntHhV8XnagYWhxmzWCvRck2g5SyeyOH5kndDTmCh2+EDjPg7lapyqbvHg1DKrS2OEgcZKp8TLj1yVlaVIOX14jZvdIpdr49R2czQ38nzX4WeJejrdrSyea+D2DERfAzVlabNKEKsoZiz9mT2pXbPzHkXbxbGCEVlD7wgqxa5MBhKw+fw4n754ElsNuRBMcyWYIKsHoKVgJKhTLgeru8RbNj/9ks/w9pc+yk6cZy0qcsa6SSu2WfNLxAjuzy2S6gNyVpxhymhR1Ts81j3Kn3fuoJ/C5TBPPc5yrneAzajAm0tPMaM1WQ0r6CIhpwSopPQjnW7b5stXjvADx74OvkLY0xGBQrboImzJWm92bPymJd23Uoh3LNQxD6OpEFYiFF/Q2cyhKilrrQKFjEurZ1PbyuNFGvOlBqqa4EUaq80iph4xXuxyYXeScqaPV7cwzIjFWoWVrTKL52YwrRBdiYlTgTPRY/LgLkKk7PYcui0b0VcJ+gZpJsYseYShSpIK8prL9VYVIVLmqk0KhT6qFsuWbip45o3/hmq+x3ypIbN+Bw5WU1abeNeEFK7ujtHuW8SxQtGURhmtdoY0EfRbNtq4i9pRyRo+jyyeJkwkEau/6+APfK1VJeH+0g38RON/PPSbVPUufqzx04cf5c7JNTpdGz0X0O/JRK8kEpQKPe6YWKMWZnl8dQGhpCyujqGIlI1GntfmzhOnAjfQ8VyDFx9YQqgp49kupYzLbeVN5sYbfPzSKUAmBZ3OrmFoEafmN5heqFEeb2OXXBYmd7njoz8PQNYMsIyQvONRdlwquR7fO/s0RcslSQXNtiMXUpNNdCMibhtUcj3umV2lYHnMZRssdiqM2T12m1laroVjBXQDk5879kl+ZvLTtFOTz3RPcyOs0kl0cqrHhN4iSQU5w+cVpUuMWV2+cuOgZNJnQQ32wgJiQ1a9led96UwVSIDILb+glTskLQ2AbGihOHSq2j93HbJ5RQL2ToizHaH35CwURUbmaV468ljW+uktbOlUZeQElah7oDmUD91yWEOS12ChOnTVkjF6Ml5v6B41bB+PwHBfC3j/bUMpkdTuplJHHEmSlzJYEPQnFXpTyuj5QV4CeaLecnh7pKrBYiEV4paZ+F+bEfw3bH+nSnd5eZnPfOYzfPCDHxzdNjk5SRAENJvNW6rdra0tJicnR4/52te+dsu+huzm/Y95IeN5a2uLfD7/P61y/6btyESNpogx1Yg4VdCVhLPtWQ5na2z28tx+8CYJgpLWk0bo9QKKkmLlerxt/nH+2+WHATAGbdAwVehaJpYacSonbQJNJSRMpKXirNWkOxislI0ek0abnOqx6ReYt2skqUJB93jz3U/xuZvHaC8VWasUuBRWuerLzyANFPRcQOhp9AOdSr7HrNngM9eO89KTV7hQmyRT6aOrMf3I4Jn+PLV+hp3VEm9/8aP0E4PWYZtPLZ3godkbdKZMNnYL/OXmnaS+iln0ODJeAy0hqRvULk6xkZ2EQoxqh8w4TS48fwZjV0UHEPAnTz5AdbolNYGRrIjTbIhoGsQKtLo2x2e2uLFbxtvKQAS6Fku3p9VxiuMderUSSohMyonEgHwheNtdX+Uu5wYqKWthiRdVFxmzuzxQWOL/uvhSHq5epXvS5HO14+y6DidKkxR0F13EPF2f47umznFKr/HpsIyWDfn99YcIE5XvnX4KP9GZMppc7k/yYW7nfeceRtMj/sd9v8WH23dxNL9FM7G5z1rlrD/Ngl5DJeVMYZ2zzJG6Gkv9KsKJpNRHT+i1LVJXI+xpiFTgTHZxN7KkRooIIIkF0bE+yrZFfMDD0GOmcm16ocFD1SUudSa4mSlSa2apN7OkKQSBShyqHJisM+W0eermHD3PYP7gDr3AoOuaJG0d7IQoUtj1Mxyr7PD00gHcmznSXESx0iXta4higKKlwxEYlVyPRs+mGTn8wIEn+fXLL2WrncP39FH27XDrBzq2HrLaLNJuOFjZgL9yT6FVZbchThTcrgldnf6YwaFsjQvaFJoe4VgBjc08xWMNVuolpopt1hsF4lgwNtOk6sh84GOFbT5y8wyny7K79Sc37mW+UGcnyvEd1Wc4tzVN3vbYquf55/d9kl997lWULJdzWzNkLZ+xfJeOJ88xP1ZxrICfev4HmM5K3+prf+898s3cv3cdOP3hf0XW8snmZJVazfb40NqdfPf8s2z6BTRR5GJrgnK+R5IKJnId7nzkPUSJha7G6ErCWq2IbkR8bOs21loF+l1TzuZLEXGi0K85PHDmGv3IYL1XIEwUNvoFri1PUKp2QEhHpKOVHX5q+nPoIkIlpZNY3Gbf5A83H+T7Jp7kkU3J9B53OkzbLf7tJ7+LxEpQsiGZ8xZ6J8UvCewdSZYapum0Fgz8snSIEgmY7X3l1z5wSnSB6u0Fuw+Tfxic68PUnFtSeFKong9IdEGYkQvmID9oKQ8A0tlK6I8pJLpA92UYQaKCV1bIbCVofkJsKKhuQmKKb/Q/3leBj7JrFXGLIcZ+sHuhbeNI+iT2s4/l/c5OQmgLvIoYLTb2v9/hZrZjgqxKOmBpD9vvo3a4YM+XOWVERPtmtr9Tpfu7v/u7jI+P88Y3vnF02z333IOu63z2s58d3Xb58mVWVlZ46KGHAHjooYc4f/4829vbo8d8+tOfJp/Pc+rUqdFj9u9j+JjhPr7Z7cHSIi+bvM5spomuRBwvblM15Yl1INfg2m5ViuGjDD89/zl+6rYv8JqDl7itvMHn68cpOS62EaIqCX6iYSoxp/KbVM0uV3rjXO+PESZy7aKQ4qgB43qHRmBzpT1OguDj26e5K7vM+c4McSr1hO3I5uHZa+QPNnFDnXc/9904SoCwYkqTbZJUIPoand0M6zeq/NbZFxMFKl9bnae+WqTouASRymKjzOfWjuGFGlpb5dcfezmf2TjOzX6R2yY3uC+/RBirRE2DNJAnSzXfY7snvYNTPcU/4RJPBtKf+prD91ee4IE7rhHO+wSzAdG8h9pWuW9ihR+8/3HmJhrcPrsmjQ+MBOGqBA2LyzcnsIwQsiFJKcT1dDbcPLNTdboXSyS6PNHnx+uDdpIgqoZ8Yv0UndhGFxErQYUEwctKV7gZlHj1wmXmjRr/6shHWG/n2annUUhZ6ZVY7pd5oHIDR5EEujBV+fEzX8GPNa6vjaGScMjc4k5rmVcXLjBv1Jgbr+M3LH5n9yXcZt8c6B9jvFSllxgUlQBHiTho7mBYIegJK70SaaRIclksEHUD4UQovgThfsMmtWJEJORiYsfkNUcvkVloSQczKyBJBa8Yv8LTjTnOrc7S6tnEbWOkgRYCTs5tcmNljJvdIkHDYrLQIUoUWh0bv6/LFn02ZKrU5vzVWVqBjWZEpHqCWtdwfZ3qXBNVlxF5Bybq2GbA0eIOGStg081x1Z2QUYWVGlOVFrmsS69j0etYHPqTf4uhxdS6GeJEwXBCvIYl572pQNUSbCMkW3ARhYBOYHKtM4ZlhgSbDo31ApNzdarZHkki0JWYnONhWzI/d7leIohUztVmqLcynN+d4sQH34uhRay0S/zB4v0s6DXiWCFn+Byc2OVz9RPShKJZYK7Y5K7KGroay2pYj+n5Bq+Yucqrpy9zKr/BPzz25f/ptWC3lSGMVI79+S+RM3w6vsHH1k5T1PtMOy0mih06rsXNnRJepOOHGv2+ycFinXrPkelKWszVtXHCUCVNBXbRw+2ZNNoOpak2W/2cNMrRQjreQOsbCsJYZbLU4XC5xmurz1NUXIqKz04sZ+of3r2LZ798lEd270BVEtabeVqBzac+dh9JNkL4Crmv2Rit/bNO6SWcKhBmJZFK9cEbS/HGBuSlATDcoiMdAsX+24ZAN5hlyopPEBQ0IkclNiWY9quarFwVCHOCxJDgOAy11/sDD2RVznrVULa6/YLAz6vEhiDKKMSGQmwqo/Zzqso5dDowoxjpZfeTrNg3a31B1T4MQBiZbQwWDDK8AEjTkexn6JV8C+AL2RqPLGXUan/h5zPcho5bo0XJ8DP+W27fNOgmScLv/u7v8ra3vQ1N2yuUC4UCP/ZjP8bP/uzP8uijj/LUU0/xIz/yIzz00EM8+OCDALz2ta/l1KlT/NAP/RDnzp3jk5/8JO95z3t4xzvegWnKlevb3/52FhcX+Wf/7J9x6dIl3ve+9/Fnf/Zn/MzP/Mw3e6gAHDVl1bzjZ/lC7RhfvbnAV9YOcr1bZc5p8JbDZ3n8xgK/8dTL8BKdZ7uzuLEhI+ZyGxzI1XEDnaLlUjW7TFtNLnUmWOxWud6qEiYqz3eneLYzw7pfpBZmWXKreIPW8nOdaV47/jwrQYVZq8l2mCMetPrON6YpOi7fPXeO/3r7n7AWlMjkPRrrBUxzMFeKBVZFkjXSQLYNRSrYbuTwlnN0Gg4zuRZj2R6xLZdvY3YPRwsoGX1qUQ5HD7nj9DLVqRYPnLrO9x94El2NyZX63HN6kSRUsHMeE+U2wVjMO85+P19//JisRLUEzYg5eNcam26O250V3jr7JEmqoGQiFE9BBAJ0GWV2orLN9EQTKxtwcKzOoewuRUuyaFMNokzKQ9UlklzMqfuXmJ6ps1Er8Ex/ns1IMl2rWpfbzVV+rPwVbvaLHDK2GVN7/Mjhx/nX936Iw84O/2DqMV5XuSDbrCgsRgXGtDazRp1DuV1SV+WP1+6nE9uc9eY5oDUA+N8WPkt+osuk0WZO30UXCUXF40IwyRVvitUoz9WwwlZYoJTrQyK4sSXzgVMjZcAKoVrpSLKZHSE8lUML26R2TGIlqNMyuGEi16U61uH02CZNz+a3v/wybuyWiUPpQGVVXFBA02OiUOVGvQyJYH23wJvufQYv0nBDjShUmZpoSllMqHJjeQylrZHRAgpZD7UYYB7soKoJWdPnjrmbqErC6naZ5o0ircCi2bHZ6OUJEo07KzdZaRVZ3y3Q6Vlkcx7ZnIeyYjGbaw6sQw1OTm6BkuJkfaYqLe4+sMpDk0skiYI5IBMtN0p0bxRABWFHnCpt4Ucad8/cZLublbm4no7v68yVmuQtn3rbYbrSYjrblgEQSkLB8lCVlK/2j3JqYpNXjF1hq5Nl18sQ9HX6dQc30vna9gEWr8l4vX7XRBUpf3nhTj6xepIvbB3h/zj7Kk596BcBuPOR9/CST/8zjn7gl+UsOVY5UJYmFZqIqTp9Gh2Hf3v7B/n1e/6AL7/mPxBFCoqa0PEN3J6J4/icX5/G1EMUNSaKVIpFaUBSKPTRNXnlLuXl33yzmcc2QuazdU5UZWzjxFyDw+VdVCXB0UIW9B0CFHYTm6IiNcxfWjzM2F1bTJgd5jINJgsdlp+YxZ+IyD1vUDknZGzfoOWr9SXg7t/8kiAYEGfT/aAxZPQq3FLdjv4Ve89JtAGoDJ7fH1foVzX0bkRk7cFFNAiIj6xbX8PeTUZt4tgQqEGCvZtgtNNRgHxkCbySIMiIvdi8wbHsZe6KPXkT3LJ4GFaxwzbwqF09/GeoOR5odpNBizp0ZHUam/JYi9cjVDcdJSYB9KbUvc9osPgYvv4L2cuj133BwuB/tX3T7eXPfOYzrKys8KM/+qPfcN+v/uqvoigKb3nLW/B9n9e97nW8733vG92vqiqPPPIIP/mTP8lDDz1EJpPhbW97G7/0S780eszBgwf52Mc+xs/8zM/wa7/2a8zOzvJbv/VbvO51r/tmDxWAIFV5orbA0cIO52rT9Fs2b7r9HIvdKrc7q/zp5n1MltvEqeAXnv4O4lghcTWEnqAaMSnw4MINjma2CVOVc81Znt+YGLUCu6FJxeyhI3i2Po2qSPOBGafJjpdl0mrTjS1Z4SoR/rAqFimLS1KQ/4wzxyc2T1Ey+xws1zm/nWG+3ODSRhan0ufk+BbPb03itQ1SJcWZ7BJFKvnDTXQt5tzVOQgVXnrvRR4oLPGlxlFutCu8avIyy26Fdx78DP/i3HfxwOwyrcDiQxt30vVM7pxY40a7wmtPP8+nH7+deFJB7Sq4loVQ4EVHFzm3NY2hRdS6GVxT558/9hYAcgWXN586y7ONGa6ujUvySCpIEGQNH62Q4McavdjAUCJiI5VWjlZCO7IQRkzF7HFhZYpKuctj2wf5wLUH+OM3vI/PdU+xm2R4pH0nz1yZhznIiIgJvYmX6BS0PgoJC8YOrdihFuZoRBkKap//dvlh7p9a4Wdf8in+8xdex7uvfS9oCU/fNs+duVXmjR1KjssfXb2XQ7dto4iEs715TCXiiLWFIhIspG56uVrhM60MYd8gahtyhdyTpg07qyWwY9Kujjne51Bul96UwZFijZqXYb1fIErk2fv4V08Q52IQ4K1lceY6pCm8ZG6RK8VxNhp5xittJpwu62YeRw+50avQdi0Ktoef9Wl0HcKGJefcToRR9FjrFDC0iIMTuyik7PQyrJyfonWkgR9oxJ4KmVgy1Hs6dQGfbpzgwHgd2wgZn+yy3s4zV2xycXWSZCyk5mbZ7udIfNlFOXZwk7VWgazhc2V3jCtIM5fbp9a52SnSW8uRmW/juganZjZ5Yn0egHGnQ97yOVBostIqUrA9trtZhEgJXZ22Z9JyLeJIZflmFaEmODmf/3r2FcSBwlljjrgjwVq3IqJAZbVWRBlYrypKiqolmHpEsdjDNkL6viHlQ0bIqQ/9IoqiUO85TBRliIGhxdyolUlTwVY9Ty7rypjNfZvfNlHMGE/TKZW6GFpMp+HQV1KSWCUCFAuSRCFjyrn3g9M32HLzLDXKGHpEyXJphTZBrJE1AtxQJ0hUdnsO91ZWyCg+Kil54fPOq3+PoulybGqbfzn/CL9fezEXG5Pc3CiTjofkzxvSsH9g5jB0ahp5DMOock1MSFTJph0ZVOxP43lhxcugEnxhPuygktO7Cb1JjYkPXpWEJWWGVDVxK1J+I9IB+A8ZyxqQCuzdZCBhEuDue61BNRpmFIxOOjDNkPcN57X7TTyGJhYifkHLeDBbHZG+XjBPlQQr+f9hJ+CWtjSyAOhOqzg7CZ0DKoPLMrExsH5UBy5e+3c9JFPtr2xf0OL+22z/j3S6//+8tdttCoUCf/DMGRa1ee5ybvAzT/490lRgmCH/4NjXyKoeZzsHAHBjnYu74zSWS2hVlzhSmay2aPVtTD3kYLHOxe0J3J6JEClJX0PNhRRyfe4cW+dEdoOPrZ9hea0CseA77zpLVe/yfGeKcatDSetjKSGd2CJJBeNGmz++cR+7jSzZrIehxdw3scLHnzuNWjNASYlzstX862f+kL/36X9MabJN3zPwWxY/8cAX+aOr9xIGGmFTehOnVsLJo2t0A5O17SKmHRKF0jP68toELztyjZVuiYwe4EY6JbPP158+wqnbV7hweZZDh7dYvDoJagpaymtvu8Bnrx1HvW4TjEcomYhM1qO7XMCqKbgLAXcdXUZTEsbNLp/44l3yC171OXNgHU2JeW5jijQVROsOqZGSipTX3nsegM8vHeXg2C7jdodtN0ecKvz0gc+yGlZ40L7Oe1e+g15o8PMHH0ERCUmq0E7k0vqyP8UrMxcB+MvWPQAcNHe4GZT5+8WvsRZn+VjrTj7wlQfkyRwKlHEppwKYn5BSnXvKKzzXnubB0hKn7DUUEu42twlT+KveSf7L+VcQtEyIBWZFXqRVLSbsmDxw6jpX61UUgTRW0UP6oY6hSovP5e2yDHOPBUTyouKM9ei3bErVDo4R4oYah0u7rHaKtHo2QaCRy3hUs9LNaKeTpbeZYfntP8eh//yfSOwUreJyZKLGJx7+NX7syR/mqzcXcHsmipqS7Brc+Kl/yukP/yvcvvyupkC50JNEu90CJ2Y26QYmq1slaaKS9zGMmP5GFrXkUyl20ZSE7UaOlx68zufOn2RsuokXahwoNtnq5mh1JWAend5mcbtC1vGJEznzLTgulhbRCwy2a3lyeZdOy+bEgU0u3pji0NwOY3aX57am8D2dqK9h5n3GC12+/Jr/wKkP/SK+p6NqMVe+5xeY/71/B6FCdqyH6xqkmxbaTJ/ZSpOMHqCJmE5osd7MM5brYaoR17eqxC0DjASlpaFEAvNIm96ug5GXhjBa1UVRUmwzRIiUs9/+r5n/zf9IfrJDEGr4Gw6F+RZRokiXq1RI2ZeScHB8l7VWgYVynRmnybnaDAfyDW60ymSMAE2RentLDZl1mtyXXeKx9hHm7RqnrDV2ojx/VTtDTpOjkecbExwu7EpbzJrMfs5eMbB2hvIYeV0b5r0m+rAFK2+PbWlSkaop1o4EPqOTjAhTsAfCQ1tIeZu4Rasrzf9lq1rE0J9QmP7NsyAEyelD9A44eEUFzU3pzioj4NX60vkpVaTLU2wqRJZkA8e69GBW4hS3LEPmraY0p1D9W9nAw+Par7kdvueRRGiw6Eh0MWol769u97OmQ0fZi+XTxUjPPDQDEdEgB3iQzJSqMihBc9M9UL+lvb33GQ43kUIYeTz54Z//W+l0v+W9l1fCCgfNHZ73ZvjO48+SIoOla2FW5mqmgjtzK2y5OfKWLz1kOya2EzCVafPq+cscLu0yaXUYz3fRjAjNkFVLmgha7QxPrM+z5pc4Wtjh2IEtDi1sc8a5yaZf4LbcOq3QRhUJphJS1nroSsxrMhe5o7qO7QScHNsiYwSs9wsY68YoF3PhoJx9/9jZt0GKDHVXUsqTLb7WWKBfc5gfr2PsqohYoHRVLq1OMp1tkfgqh6q7JOs2V9YnEAJagcXN3SLnF2dYPDfDPYUVnNkujiZnyW+aeha0lGOHN9CsiC8uH2FurEF4wOddL/0r3njiOXpLBY6dWcUvJ9gFjwsbUzzzlWN86tN3Yy500GekRaGhRgSJhqYlaFrM3OlNXn//OV585xVaoc1z9SkOVBv0Q4NXli7xXZNn+fmDHwUgSRV+b/fFXNkaox/KpJe88CmrffKKx1G9xn32El/onSBGcNDcoap30EWELmI+3LmdZuxwT2aJl9xzEREIFF8Q75rcNrtO3NLZbOW4sjjFlp/n0sY4n9g4xSlji6N6jVaishpnuc9eJGP7oKRkJ7uEvkbiqZAKTh+9STQIGtBUWeVvd7JsbBVZ3qiwvFOiXOhhZn3GpptgxQgnot+0IRK02g5FyyVNBU8vH0BX5N9WESmtlsP11XFarsXdU6sonjxNlVBQXahzbHJHBlEAX9+cw/d1Cbh1A31ClhbzpQavOnqJ49NbvPboJWZzTRo9m1OzG7xh/DmiROHk3CaKExH2DcqZPkrJJ2oafO31v8KbZ8+Sy7q0Qoux6SaT2Q6dWgY/1ui6JpVCj0zWY7VRJA5Vmo0Mc8UmvabNVj2PrYX4oYaqJcSJwrefPs9WN8vpg+vsdDN4kc4bD17g9MwGp4+sEXg6J0uSWPX8d/0iuaxLMtDnHjuwhTBjaama8Ubt+4VsnZ1+hkvbEyxtVum3LfxY5UatLG0kzQTdCTHmeiSGJJZpdY2gr5NmIq59388TbDt4gU5jO8eJD74XNS/n74qSUD1cR1ESpvNtkkRB02Nsx2e81EGIFNsI2e5ludYeQ4iUzV4eVZGlZcuzKBouNztFHsxex0tk+IGjBGREQFHt857Zj/Ga0gUuN8eJE4XHFg8ilm2KFxUqj+kScLW9ueTQaSpyXsD+TfcxblMIc3K2ule5sjenZN+/+7d98hgllgAa5OVCMbntMBw5gDtlk6iC7EaEV1EGagQJgsNKUaTISrYdo0SpDF8YzIsTVYzCGLySTO0Zzm5HyUNDEB1qY/fNXUcV7YD8tL8qHs2oh4g2IEGNMoMHgKz3UoyWdPEymuloDq135Y/RSr8hy/cbflfBrexB5/62/d9m+5YH3Z0ghy4ipvUmjhqQz7oILeGEvcG03qAXG7x/8SGWd0p0fZOpfJvjh9fR1ZiaK/Vyk1YbP9FwQ53JUoegY6DYEYYZ8Y/u+CL/9NSneVHuKhNmm3vKK7xi/Ar9xKSo99EH3qnLboWNoMiaX6QV2fxV9zZsVSa0FHSXyUyb5zcmCOd84lkPMeGx2czTbGTobkuyRb2ZxdQjWu0M5y7Oo7Y1FjeqhLMBaSmUJ1ZL59z6DCcPrxPGKslYQBwo2I7Pc2vTRIGKUKTr1Ln2LC+bu865LxxD0VJWvTJ6TWPM7vLyw1fxWiY3boxz28I6X20d5oHcIuZcl6Lp8vNv+CALlTqKkqL1BOFkiKHFHBrb5cGZZb7+1FEeLC2Rsz18X+cl49c55myS0XwWm1JC4UcaQaxyzZsgTDXOe3MA/MXaXTxVm+NNR57jaHGHy/40V8Jx1qMCzcQhQVBUXGIEncRiUm8ypnU41zswklsYImZGa/DjE1/ke17+OM7xJvMnNqm5GbBjXr9wkSOHNlnrF3j7bV/mN47/EV/qH6afavxR4wF++K/+EW/9wts5VNpFDBjLxWKP00fW0PSYXmjQDc2RXrbZdWhvZ2VkY1/DNCNaPZvQ12h2bGmo09MgVBChAjsmz9+Ypt1xMC3ZglQVSYBKPRU75+GHGl6sowSCk3/5i4hDPVpdm8VahThWOPHB99KsZXEcH8MMSQ0J3PO/++9ZbRaZNlv8+MyXqPkZNnp5okjFjXSebs/T8UyubI6RJgIr5zPudHAcHywJGh9Zv51GPctGL0+zY1Mxe2QrffxIw9AjTDXm1NgWh6u7HJquoVsRDc8mX+4Rd3TyumQJR30NXY05ZO+QMwNq/QzdpsNHXvpfmdDbrHfz0pM67/JcfWp03kaJwpuOPsfLPvNzUp9sRmiKNO4Ie4Y0sWiO4+gh3loWRY3R7ZA4UUY5t0NXtftml0lLAf2GjX1c8g2W3/bPAdkBCbyBZWoqsO1Afk49kyhWiGKVWt/h1OwGlVyP8VwXU4tQREqSgqHGxImCqcbkTY9Wz2arlaPZsTm/PcX2doFDxjYxCnnNY0ZvECM4pNfoJAa9xGSnlaV1topy0yJ3AzSXUZJPkBtobZO924bzRxjKVRhUdxJoY3MARGKgZ1X2JC6pwsgdaj9reThHlc+TtxmdFNVLWX1Njo2HS/gFOe/0Sipaf895SvUlSMemBDY1SHGr6oAQJUaa39BRRuzfYUt8aCs5YhTvayPL97dPTsTefUNJ0siNasCgHm6JPtAeD01A9s97QRYxHrJ1L/ZuHwUhwK0z8Rc832ruVdTf7PYtH2L/3YWnqYvKwIWoy6tmr/D13QOc789ywt5AEwmtjo1tB3zb3AXCROXRzaOcGV9nwuygi5iC5tJPDD7fPMrx6S1QUwqFPvdNrjCtN7FESCexKGh9JrQWYapRjzOog7/QlNliJ8hhKSEF3eXx5kG2vRzrvQJTpTZZ1eeLy0dIE4U0FqSxQDUS/L6OYYf4kQKxIIkEfc8g7uigJdhHuvTast2qGjFxKYVEZvT2Q4MoUbh9fo3n1qYkcKdCkp4UwEh4Zn2Wcq7HxL2bbJyb5NnJGcJSzIWdSV46cx2lraGEgu8cP8v/cemVMrAgVHniwmG6x0zWWgUsI6RdTiSQp4KLV2e4FM6R6gm/89xD3Du/giJS1rwiz7ZmRtZ31+sVultZTp9YxVEC5oxdKX0KcyyvVCFS6FXW8WKdRzbP8MuH/lJKiqIi18MKCQoTWou/qN/Hd5SewRIhd2RWKKp9LBGSVzxpqaeEfH/xCf7i4p30+yZRWy61P/jUPeh5n9+87w+Z09oEqcJT3QVOm2s8sbuAVnXR9ZhWYGNlArK2LxOaUsEDs8uc3Zqh27OIdyy56KhEKE6EoqbEoUJ3K4u5rZJMRiS+1DCng6uCUvJJApVKtUMQqXSaDv22xZlDa1xYneLVdzzPc/VJ7qqucbNf5PiDN9h1HbYvjaFMeOh6jKIkdFfyKOWAiVwXN9SJHI+FQp1G2aFi9fjYzdP8fuMB0kRQKnUJOgarosjp4gZT+TY7aoaJiS61foZLOxMkieCVpy7xis/9E1RFzu2DSCPr+PQiAyFSap0Md06tsdQuY6shr688x/uuP8w9s6s8sbhA4mlMHqhzsTYwuAkV7p9a5vevP4DrG1x+yy/wHV/6KQA+tX2Ssi2duh6cvjHStQOYWsyv3vWnHPmzXyasW6BAo2GhZEOMbEASK7ihvHzd+Ol/AsB3fOmneHZpFqElJFpKmolY+nvv4fhf/JIM2dATOg2ZwTvc1EkXoaQogzSlMFQxjAg7I9u+KVC0PYpGn6zms9QuAxAnClO5Dtd3qkyXWlSsHtfqVb736DM4SkBW9ThsbLMSVkhSheveOG8qPsN5b47DRshmlON3tl7KsxvThDs25RsDMBWDqnXQOjY6A1Dg1oorHVV7w5aquCXxZjTXHMyAR61ZGAGbBKUh2KWkAwRJNFkhEktQii1ZoXolQe5mguqnUFRG+x5qfBOG5KJUehwn+wAMaYwz3EQq9xtZAr23D1QHYDpyntpHkkpUuQDZu4/R78PHxMa+jN0BLg67ACKVGDyK+RuC9mA/Yh+Ipgqkya2YOpwNy1Z2Sn9cQQnAav3tA+zh/wWguxRWydmCGMF1b4xTzjrjU21qYY4YhbvzK5y5bY3OPrLTXdU16oGDowY4g2VlVvV42aFrnM6uk9V9ntuaYrlbJs4LnvXmKGk9xrQOYaoRpio5xcMSEbUoS1XvYioR51oyBzSjBVxqjBPFKi+fvoqjBiSJIOpIWQiRIA7kWedHCscPbnB5eVImpySSKayYMd1dB+GqpNmIqKtz5vgq5xdnmK422WzmuHd2lQs7kzIMPlDkiZyRBhbEAr9nsN4xee1tF2gds9jqZHngzDWu7I6x0isjYrlC/vD2nYShyuuPXOTPn5KhADNOk/V2nm7flHm8LZ1OO48aDL70OiQ1kxvFMkGk4sca56/NopgxhhmRtX26WsKltUkZcp8Y/PHZ+7n94E0QoBd8Zs0Gl1vj/MTclygqAZZIcUSNEIX1qMCCuUuYahSVPmW1i0rKJztneF3uPCop23EWXXT4d+tvgA2LqByCGYOvMjlXZ3O9hC4iNmOHjAi5J3uD/779MDc2K4NIO0G9bxPHCuMZaffT9i0ur02QdHWUTIhS9YmKAkWVF+7IV8FTEYGCPx5z8ugal1YmyeY8XC0hjhU0LaZSbrO+Vka1I9LBzHdIKlvsVDhR2uZ6u0rddej7OpVsn8RMSDyNQxM1VhtFzKk+lVyPlmdJC8NY4WanyNpqBbWtYi50ZEhDJqFjWGQrfXotm8e3Fjhd3uT1Exd4vHkIRws4lpVEQT/RWFya4E13neUx7yDtnoVphgSxxpFyje1+jrMbM9w2uUErsPjXT70RRMrU5HWOzmyz0c6jiJSpfJvNTo7sZJdPnbsNNRNyeKIGwL2lZf7Fs2/mdEHncmeCGadJkGhEicrRD/wycawQ+zkAklgFU37fk45O0tMJPA1hxDzzxn/DkT/916NzPUhUFCOmkOuT5BTOvemX5e2ehvAUlEyIYdyaaGaYEb6nAwmKGqOqKROFjvTdtlwMNWbXdTi/LZUG7b7FmckNrjeq3FNZ4eLqJKs7JRbbE2Ak3HNyiTDVGNPaAIxrbb7UP8btziqdxOKosckXuyf4/OZR1jdLEgmyEWDsAe4QQ/bPEoeBBPuqU5HIGWhkiVvam1rv1vJrCNr79zX6/5AxLPZIWsNNJClqKLB3EjQvReslKOEQYBTUAMIsAxMKeTySGayg+kivY8BsSC/oPVawPCCjM2A07yOF/bX+0OqtwDo87uExjtjZA0bxUCI0es+DhciIlT34bJUoHTlcDS015fMHtw/8nm9Z9AwWNqmQDmCRs3csf9vtWx50dRGRUyI+2z7NtpdjXM9xxNpkWm8OEm7amEpIVpUXfktEWEqIJmKyqse03mQrLBCmKqez6wC8uHidQ06NGbPBdX+CKb2Jl+p4iY6lhBTVPrtxlmmtQVnrsuSPUdU7vKp6iceah9GVmKPFHQCqepd+YvC2k0/w2e3jKCIljFVWrkxItq8Z87LqNS4vT2KWZJXjezphX4dIIR0ksaCmPLc0A67K6lqFbKnPxd1xXF/HKktjg8jXULSEJJBtnjQWiJ7Kp549jZn3iZeyXFESGjcLNBsZ0kqI0tK4tDFOxg740KcfRNVSDt95kxudCq3FElMntmnoMd9/9Cne/8lXgEhJnJjMWJ+7p1Yp6i6bXp5mYCP0hKSn4YUKYaii2jFsmjwWHOLx/jFSLeHZcwvo45Lg8vXmARSRMqfv4qUqO7FBRoSU1RC0FpaQciFLyHZfRkQctzZwRERrYCv5B/WHeOLKQbATWekrKamSUmvkUNoa7776Fv7D0T/n/9x6FU9uzsmoPFdDmDGZvEsYq2Qdj8VaBXfHQSsEJD0NtIRD0zVq3QytRoakrcnFjJWg5EIZd+gpXLw8i1HySIEoUEljhaBh0FQThJ6Qy3jEjqDbtmXwe1jAK/fo+CaWFtF1TQoZlzBRENmIaqXDqycu8ph+CID1boFO3yIMNJK6QTjXlvGMioqipMTlkPmZXep9myPlGheCKX7i4JfJKD6/eO7bOTaxw1o7z3Y/x1Yzx5npdYSe8KnFEySxgm0H2IasDB8o3eCaOY5ZiTjibPG52gnETYuJO7Z4tjkjE4iAJBVcujBH9WCdSqbP9ZbNtx27gJ9o/PvnX89BU557M2aTx3cWaHo2m7sF8rk+lhnSadsQKcz/xn9EyYJmR8SBRAq94BN2DayMXAx/94lzo3P92uYYaSydtY78mQTc+z/xbo5Me1xNxgfSuIAg0rjzkfdwpFwjTSdH8idDi6TvtR5gayE7vSz2oLsxX2ywkN1Fr8T85aU7SHZNKgd6vOHE8zRDm6fW5vih419jNZRjpJ0gSyNwuDN/k4ezFznrzXMzKHOhO8XTG3N4Szk0X45lCAa+68O55KBSjS3JQh5VfGLvwj90W1IiiCqD2wZgkFtNBiCy95yRZSLsEZfErbPIESF3AFpD0FEigRIOwuiHoCckg1kJpeezGjDQDcv5bqpKzbDmQpgZZPu+ADg1N5FV+rAAH7WC9xlzILt3CHnMKcMZ6mDerIuR1ClVZZGghikiEaRI9rESp6T7WNyjCn/f6w4686QDwJWLm/1tbbjFmnKg+1WDW+/722zf8qB7NZgkjro8sbtAkgpWOiXurua5I7NKkgr6iWw3FlSXCU3OAhf9cQ7ZO3xq+xRvnDiPqYTUgww51aOg9uknJjEKYapy2NwiTDVyqoclQrxUJ0ZQVHtYSoCaJtTCLMesDbbCIlWzy7pboGT0udYeo6i7TBptTtlr3LuwiKWEWCLkxkKVj9Tu4oHCEmWty/ff+ST9xOCJ7XlOjm1xLCtJVn/02EOIrkZqJDgll8KkS983aG7mmJhr4PcM7JyPZQd0GiZa2wBz8MVCVr7ark6SCYltKcHASkj7GoeObrLeKEjTfS0mVVOUaZfNTo7/eNuf849uvI1Gz6aUcXl0+xhMe6RbJnbFZSLfIUpUPvr1u3j1XRe4XBtH1Awoh6R9lXuPLfFd1Wf4UO0uvnZ9AeEP+mHFkO85fpY3Fs7ypHuI9z37MN6CTiYNmVT7PO7Nc7e5ijcgwRXVHptxnkN6nV/beQUlvc96WGIrzPPhpTPEsQKRAsYgiixQUOyIyNMQaspOO8t/Xn8tl2rj9LoWaSKYnK2jKwmNvo1thFhaRH0rj95SCYWBM9bD7VgsbVVkuEFPQyvJz9hzDYSSEFqxbDcngjQRdLazCDMmW+rTFbJ6Nm1JNrpzao2v9eeJRcqLT1yjG8oFgxdrWEbIjx78KmGq8jHrDBvtPB9YvpvxTJflRgldjSnnpAdxXWRYKDW40LEQkSAINERPY/nGGJNzdVqBzbcfeY4PbNxD3XUIXJ2lepkoUik7LnGs8NzGFEfntpjOtLjequLoAXXXYalRpunbLK9VMJyQ8KDChdUp0okAU4skU1cLuW1sk5zu8XSscu/4Ks83JpmdqvPY5kEemFjmmdYBGk6GpV6FJSpMOB0ubU+QhApeoKNrMZVyl1bXIuyYWE5A4OsUSj16psl4qcN6WKSc7TP/m/+R5X/4gdG5niRSOwtQKfS446M/jxfYjGe6aGZE1vHJmQFWpkecKmz3c/LvYERM5dvUXQddSdh1ZR90vlCnoHs8XLzEaXOdGMF6VOLqzDj33rZMTvX4/spjfLl3nNeeeY7Dxja7sQzRmDTbNAKHq/1xXpS5ytnOARqBzdPX57GvmORakvEbbBmS2RvurwRlcECQA6MDydAQYtAaFYO82+EcNNFBhMjvmgZGNx5VdyJJ98A2SffmuwPyT6zvAWGYERjtPaCRt8sqWuvFI+BOhQw9iC2NMCOfH+TkjDTRpfdzOgB0JYT8WoJbVb7Bszg2JLs5HchzRsYWIwREzrIHpeXoqQJCay8nGCRIJiojEupfp50VKbd0CfZX/LJNve8z1aQESkHs3fc3WD2+kGz1N23f8qCbV11+7dorOVbaoR/pXN0d40p7nF5kMms3KKguc8YuzdjBEDHPubM4SkA3tni4epUvNY7yYHERXcQSfKMsqkiwlJBDxjZeqlML8uiiTSwEcSrQhWTg9hITL9FxlD0T88PWDkGioZAyk2lS0Xvc4SyzGRaZthoDRrXCTiRp50fNTSwRclMr88kbJ3jd7CX8ROM2+yYAP/HiL/Dfv/owSk9l4nAHU40QQLuv0ug4aNsGrqsyNt/ALQZEqSkBTkule5KvETsJ06UObTug3s6MvvwZPWAs3yVMFDZXymixIF126ExqXA0mue/4EmvdAj3fYKeV5eHDV/mydog0FUw5bcnGjAWPr8+jiJRUSzk8t01O93jr+Nd4wNzkucwsT7iHUSZ8SOCX7v8Ip411tuMsL3WuMHZ3h6N6Cy+VI4Ilf4w7zZs0Y4cZrU0/Mfn99RdxurDBo6tH8T2dQs5lt54lk/Pw+gaEQn7TI4GwJfFJMWKO3rbBSr3EUzcOoBsRTsbH0KSl324rQ9gzoNyXmlwgLMZUZ5v4kTxb474m2552LK0fI5WoryEM2Q5VlATbkeSeJFGIOzo9YYGvkjqC8UKHMFHYcnPMjTWozPXwYo3nbk7znSfO8ZHLt5MC/+nZV2MYEd26w/KPvIt7P/4vmLA6tB2ZGORFGo1WhjQWXFqfIOnpGAd6xLGCWvaJXI04UVhvFKh1M9hGSJwIiqUeXqATrGXYNWXlKATcqJW52SxQyfa5vjlGkggqpS71vo2ZCTCNiE5okXR15g9t40camkhAhwVnl90ww2tmLtGObCwtpGz2Obc5zeeWZRzgeXWKrOWz08hRLvTwuiaKnsg4QtsnYwSoSoJrhYSRyky1SdnqcTGYpNm3IYWeb4C214s88qf/GsOM8UON7/ryP2Yul+DFOruug6MFnJraIkoVNJFIzWxfWsomiaBge9Rdh5wp57iOHnB3aZXD1jZz+i4Au3EGSwkpq11+dPpLzGhNvFQjI0JekrlMWZHEsfKAXe+nKo9uvhVHD/jNzYe5sDNJ52aezLL87miuZCabLQk2SpTiF4aBAPL801xJehICgvxg7tiHxJTSHs3dY/iOWLo+31A57pfZINJR7N1+wAUJkEMfZ70vfZVBOktJW8Y9ZIkchdgQEmAVeaxKCEmOfYsD+f8gq4wsH9P9iDMA5tGcdghqL8S2VAKvSOUxx8aghSxkdasGKYlIEQPk2wNdMapKGbpbDXafqsMZcTrqEIh9Lz9MJxp+dkOf62+Yq++fn/8tt2950P1i4xgvnbyONqDyFwyPK80xLniT3L2wTEbxiVMFS4Q0YwdHCShofXQRo5Iw79T5auMwRzI7tCIHP9EYN9pSb4syAtN+YtJPTHKqJ4lUUZaC2sNLDbKqTy3KMa63CVOVCaPNilsmSlQ+u3mch49cwkt1OonFbpyln5icNtdoZR0cxWcxGOePrt/Ly2evUdJ7nLFuclTfZTXK838uvQKj5JGZ9qV3dKtAp5ZBGClB10Cf7yF2bGqLZY6eWuNKdwqlr5FmJUtW5GJmJxu0XAu3b6IbEQsHdphy2mz08/QCnfpmAWHFxFmZkWs6Af/t+YfxPZ2ko1OaaRH6Gp+7eBxFS8jmPO4t3OCrreOQC+luZnng9mucCzWWnp7l9S9/mu0oz1W1i59oZMd7ZEwZZdeJLdqpyXuvvYlfPf6nvNJeBqCXCnJKwu88+nL+aPo+VDWhnOlLE4FQ4UalTG8rg17yaPcsVC2R2spIAT1F9FXSXCSD0UXKkckdXj9xgd/rPMhMqUXJ7HN1d4y+ZxIGGnFXQ1gx3c2sPFOVVBr5mz5CGHQ7miRpAKSCtGMSlKE41kVTE3brWcKOKYE7EaCk6AWfOFZIlZRC1uW28gZ+rOHGOhkt4AuLRyQhLRY8XZ9jptqk0bcJQo1uw5GhCsB0ts2ztWlaHVvGKjazxIGCZsa86dh5Pvj1e0gTwZHJHWacFldbY/QCSVJq1zL0nYiorzE21SIIpNlH3zPkIsEMcIyQRs/my6/5D5z44Htxaw5uRud4dZunFw9I6dSYIDvRZX23wCsOSxlYPzLYDTNsuAX++72/z8s+83OsbJaxnACvazI/U2OzmWc638bUIjquRadvYWYCdF0uFguWR8uTfsc5y6fnG3R8g7VakVzWxQ81TEfqavXB5/GST/8z5sZibC3EUkMcLaAZOBxwGhSNPl6sM2ZJXkUvNvja2gFKGRdNSciUA3Q15nhxmwfz13nQXgKgmZiEA4QIUpUQmVGdUfyRuYUlImIEuojppDqWiFFJuRBMshxUmc02aYcWjz17FLWnYHYUwqzMuU0VQVBMKT0vQSLRBd35lPz1wYVLMJp1iiTF6AjEwKwhyAsSG6KMkAEHIaOLvzIgB40ISYN/R+YX6bBik2SpIdikigTXyBR4VQWjnaC7Cd0pFaMDIlFlcMDASrG1oBLmBmzfAXM5MSDRU5RQMpbVYAjkUgsbOYza5wB6L/0Ggtc3eCsP5qyJLklXsSG+0cxjaBnJPvAUe+DL0NBiuI0+qwFrOt0HpgOAFjGIATCrow7B8DjFKJDhhaYbf5vtWx50k1RQ0vts+gXmrDoHzF0MJeJrG/O0IgdLDwlTFV3EFNU+ikjJKy69xOSKN4kuYiatNrthhjmrQUnvoYuYnSDLtpkfnZifqp3CUiNeXzmPKlLCVKWfmKz4ldGxXA4nqeg9Clqfu/MdPrZ1BlOL2I5zqCR8tn2aKaPFtN7gq72jdGOTT7Rupxk5dDZyXMmPY6shlh3iCGgmDoYqQ781NSFJBb2uhdAT0lCBQGF8psv2YoYom3BlZYIjhze5fnEa3YoIXA1lx2BdL1Atdum0bbKZiBurY9RKGXprOcyJPoodke6aFA82iBKFbsvmtoV1zl+fRUSC9tUSWPILPHVsh6zhUwtz6FWX+KZDbCeUjT6z5SZLKxkutib4vsoTrIYVpowW3aZNN8pwz4klvtw8ynP6LG6g87H2ndzjLLGg1+knOjnF5Qce/gqfWT/O9rUKfUUueLSeQloGvSgrFRnBluD1DTnDDZQBIzKlXOxyR3Wdz1w4yavGL1GwPdxQZ6szThwr+NuOXNkWpXfxRiNP4OnQ1EknfG7cGCdb7UkyhZlg5n38nkFqCmgbNAPJVDbtkGDQJsvnXHKWzwNjMuf1Y0unOVba4Wp7jO1OlihWmC83CF0dzYqYGGuxViuiaglpCpPFDuuxIGP70tIwniIOFTJ5j/FMl4wR0AsMFJHyqZUTZMb6lDN9NCXhcnOcf7jwRf7Vl78L1JQzR29KmdbGOD3PwDAiqqe26PoGrZZDnCg0ejaeK8cu5WwfsnJfV3bHOHFgk9VmkXsKyyw2K/TWctwYl37ZE3aHp7fn+J75ZwDY7TmYdoimxShGzPJaFSvr48caUaqQpjJz1spImY6pRyNSWJLK7GFFSSjaHvOFBrNOkyvtcequQ9XpkWS7/MDjP8GBHGQ0nxudCguZOm6ss9PPkNc9LtfHuXt8lbV+kV3XoWTJNnrRcikaLt9RfYYZrcGYKvXN61GOdmJRj7NYIkQRCUVFMuIBvFSnN+AL6CLGICZApZNYrIVlVvwKX68fYKOdp72Zk37cCWh9gVmXABgUBe5EQqqlpKpCf0I+RvWkxlZ1B3aMBiNJkNjnjjQE2tgcgN0+du5oTrmPkHQLOOzbRCzJRokmRve7E/L/jWMaek8yjF1TELdSrGYiwxUsQX4lYfe0QlBIUAKB1pfP0/rSfELrg+rtHfOeNGnv2EJHYPSSkUnFfpLUsBUtE4YG89rBQmQoNRoZgxjD9vm+NzdsVe8H1L+mBfzX2TcOZ9pqOJgVi31PHbLEhTx+vbdvwfC33L7lQbcXGjzfmeJQpkYrsjlubXCiss6V1jhf3j3MG8YvYCkhQaLSSWwyij8C3FmjMWJ0rvTKVHQ5C0pShShRWfEr1MMMX9+eo9O3KGRcqECcCrbCPI+uH0VXY149dZndIEtG89GVCEuEtGKHQ9ldFrsVPrRzN2WjT1HvsxXmWfHL/PlT9/IP7v8qf3D2Ab7t1AVee895irrLMWsTL9U5F1T4byuv4MaNcRRLEok2mnlULcbKhnRbeVIzYePiODgy2EDd1Vkyqpw4vcrFxWlEKIjzks3b6tmYdkjPNdCsiIPlOs+1Lcq5HrtphkA1aC4XEbEgzUVcr1XAV9B6irScUyHVUmZzTb529iiLlQphx0RNBEbFY71foGL1WJvvsnRxin+nfhs/OP0En6sdx8l7FDMus06Ta50xbDXkUGmXVmSzGRX5Uuc4U0YLUwl5SfYKxw5t8Kvhq3F9nWDHITFTvL6BYUX4ro5luXieLkkVRkwUKGQPtYhihb5v8PT2DLoT8OjOcfxYZXOthOhpVI/sElVdgqZ0oFqrFQl7OqQCpRRIYwyR0u+ZkI/AU0kWs1iuYPZlq1y/OA2JoJDv02pLwDH1iDfOX6AZOqy5RVY6Jfpdk8cWD8oQBT0hiQTLlMgUXRQlYS7XZGu7QNgyQU25GWrErkoz0BBKSj7nUs70mbA72GrI9aBKnAi8WKNby0gzDuDadhW/ZfFI9g6MnJTZAHQCk9hVmZ5s0w0MjhZ2ePTKMSwnIE4UMlZAMePy/isPsb79HZh2SNb2pTlGtoehRXRjS7a09YSM7uPFOjUvw3yhzhFzi596+geYKYxTNF36kUF+3MNWQ/xERRUpG32pGz44IxnNC9k6u36GaafFSq9E2exRNvqUtD7tyGKpV2Hbz3GisMU1ZYwkFVhqRDc0yRsundDCjzW2/SxBLC9rW26Ok5VN1vpFNjo5Tlc3CRKNt5/+EoeM7ZG0rKD4eKmKSsq7r3w37z36ETqxTQebz9ZO8MPTXyFIVDKKj5cYZBSftbDEdX+Cy90Jrtar1Gs5cFVEqIy0o2oCWlfBn4iwapJ0BJLNq/WVAYCkRBlJ/BEpo9CCRH7tiK1BVJ8irRZFMiAm7ZsBD4ElFZBdi0fV8ZBVm2i3BrgDI8OI/e3S/ck7qSZnvCKVFak6OHa3oqJEsv3sbKZ05+QcOcqmqH25s+GxDSwKRvpirQ9+Uf6uejKHV/MGzGENiPfphoUY6Xxv0cgO3bmGEYD7Z7TagLClypL5hUzo/X7Ue2Yjg8r2r5nXjiw0RwyzfYlHKRjd4TyZ/6/S3b+ZasSU1WHKaDKn77IcjDGmtTmSr+EnKje8CqGpUo8yHDR36MQ2ikjIqR6O4uOlOqedNXQRc7Y5y5HcDqYSoSnxyEc5TgSz5SZRonAzqNBPDD62dJredga72udPLt7D649c5KS9zvneLKopK+FJs0WYypi2itElThXcWOfjS6fQswHPNOfQrYiPPXkHIiu1g4pyijctPMcjy6fpNh3QEtKWQVhURu3UTs8APUXPB7DrEE4FKHpCrGnS+UiklMfbNK+VUTyNxErwIgXViUhigWZEXFiRRgWOHiLyPdY6pjwZEyBU6O9kUHsKYTFGa6skRoLaV+hHBooriDccMOVqvpTrkzdcgkTjUHWXdSNkrVXgP3VeTbdn8fCha/z2fe/nHz/197mzeHPgLiU7Dwv6Dv3E4Duzz+GlCpZImNZa/N4d76eZWKyHJT7ZuI3Pnz9BICCNhZSchCqaERNHCugJh8s1zi4eQLdDDlV22dFiufDoq5JkpaW0exZRKC+caSoIY0W2hgchBwgQfRVhy8otbumkAvxKzHozT3a2TWczR7dncXxmi7zhUdBlBbXp5djo5dmu56WW11cRWoKT8eg0JHHnSKXGs8szzB+oszmZxw11DpdqRInCpNWhFmRYbpd4/fRFPr1xgrMbM/iuTjbn0esPqq+cT7NjE/YMZmbqZCoN1rpSD76yKTWmtZZMmJqwO0CO87tTpL6Kh0Gp1MULNfq+IUcjeRfHCKm3MhALVrbLHJ/e4pnmHLbjo+f6GGrMerfA9k4eKxOwWBpj0mijFFJqfpZXVi/xxd2jeAMwTFLBfLbOjNOiE5lM2y16kTz+euCQpIJuaJKkCioJzdAhSlVWGyWajo2mJEzYHW72iiikaIp0BHN0GfKx3C1TslxmnBat0OKe0gpT403OWKuEqUYvNZhRW6xEJeaUFgkClZTz/jQ/dejzPNY7yhd3jtD2LHaXS/xWqnBpbRLDDIkihVzGo9HIQlOXYBmBNnDPSnR59dX6AtWVt2UXNZTBXHSYXWs20xEIZFckuIo43VfZMbqQp6qQPsCDua1VT0l0mSy037hBiaVRBTDS4SbarSWYZPqKEYgmgwi9ICekthZZdQ5bv8OcXJFAZAv0foLmpog4xR1TMVoQZuW+lHAPkIYt3uFrpqokPw11u7El7/SKysgScjTvFYPqdT8ZarC/RGOvRT18a4N58dCEY2R9KfYWIym3Hs/Iw3pQ1Q5vHzK29z6wbwTr0WOBYJDupO0F5/0vt2950J2xW0yaHYpqn4ziM6a1ebJ7EFsNuCe3PtLUtWKbm4G8KFlKiKME9BMTUwlxFJ9rvTGW65JQcyS3Qy8yKeouRa3PQ5PL+IlGI7BpxTYHzF3unlrlSzvHJUnEiHFjY+C8pLIV5jlo7uAoPlN6k9/YeSl3Fm6y7hV5a/VxtMMJZa3Hb3z+lYC0/0uERj+Uy7o/qT0AkSA/1SEFOkGWINJQ1QTDkZrfwNfJZV3q4zqKnpDJehyYbbLRybHaLOK6BuZcF289IwlVfZU4FCi+QmhqYMeoZszd5VU+vnwS0dXQJvrEmw4kkNgJIpZmGyICxVNIhk44A62h2leIyxFBpGKrIee3pwljlTBUGSt0Wb8yRmqk/NjYFwG42S8yXWoSpip32zdIUoWy4nGlP8knhSSunTEadFJYjYrsRlkWjBp35Fb5on0Ew4wI0BACNCNmoVpnu5ulWc/w/OYk8zM14kThuaUZUk9FcRWSXASJtFfcWSuCko6YzsTyoqbo0vxDzwSEkawS7aKHmOgTtkyEHeP7OhnHZ2ahhq3LVuSTS/PkczKCsb/rSA02oOgxRII0UukJC9VISBKFS1vjpIHCZ28e477JFW7LrPPI5hlUJeFT148TBRqpq/JF/Qj1roPXl05O5UyfuydvYigRjcDhmZU59EzA2lqZN9/5NJ9aOSE9i0OFaztVyvkeaiHlaysHyDo+fqhhFT3Zkg90yQLOuOQVl049Q1yQdpWZsT5vOXwWgMvdCZJE4XB1m5sdmQ2chgpu0+IvVu6ibPc5U1xHEQnX+hP0IwNLjTie32LDy7PrZ2gFNkkqWOsWiBOFnOmz1c9iaREt32LC6fB0bw5bC9GUhLFMl35oSPJZV+p485aHpiT0I4Mpu02UqOQNj5LR52WFK1TULjeCKnfbNzBIyKl9dAG9ROGoXiNBcN6f5po/wac2TrJeKyLWLBQfmQClwpXHFlCACIvYTGmojqziEnFrLiuguoLYkjmyUTlB60sC0lA7OwSl/ek1pIOw9QHzNrL3kXMSqYW16hKYVW/4GDF6vmAApvrecYzIVEPm7eC2IYAP7/PGBGYzHdktWrV0pLE1W9INKn2BHKY/pmI1EzQXzEZK9mZKb0ZBCWVV7pcksWr/NozD209YAhlIEDqKXATsA+rh9kJWsLIPWEfvffD5qUE6MMcYVMj7ghNgUBmrkiCleemejCp9YbCBuAWYbyV83XqMRlf+rZP/r728t235OQ4kLst+FZC63c+vH+GhyWXCVKMWZdkICjhqQCN0iFEGZCqXqtbmkjuNIir0I4PZYoui4VIP5LxIFzGqSDjubLLil+lFBte7VWaNBnfnV/iScly2D0NZwYapyoK1S1b1yCsuf759Dy8qLTKdbfP1xjz/fO6vmNdcntY7fPjmHQCIUMiVXChIhQRdveAT7Vi4nk5Yl/IQIVIse8hAlb8XbY+GVyLVUiZyXTY6Obp9i1KuT7uWYXy2Q+dATLuWkbZ5vmyNiUi6Yt02s8Fyv4ymJNKAY9vGaCkkRkqST4gzQjKJFGSYgZLy/M0pqPqkdVN+NwOFxlqBz3alBtm0QqJA5aHxJZ5UElafn0QRCV+9cYhW8GZu+iWmzSY7UZ7dOMvvNI/wkuI1fuWxb0N3An729s9SVPs0Y4c5Y5cwVXnQvs7vZB/C83RUNUGIlDtm1ji/Mc1ksc14tosb6aztFoh2bHnS6AmpkaJ0NJJszM5aEcWRDOZuw4FAQVgxqa+QhApHDmyz3cnKAANfxeuaVKodmssZKnMNHpy4wdndWep9m7UbVenh66t0FIt020Kp+ggBsavKWa2RoFkhhhHLWbKrk/qyfd3u2nzl5iHmjjS4vjlG3NHR2ippJeTIkU3qfRvf1SkWewDsdLL81PyjXPamiBKVuGZSmG/R7BmcbcwiRIqmxSSeSWBrtIVFv+aQn+gyW2hxs1WQaTquiaHFtDsGO36O8rEuxUqX95z8Ky57U2yHOQ4Yu3y5dZTj2S2OZHa41JlAU+R3HDVFKCl3VNcwlQg31ulHBue2ZvB8HUVJ2XEzGGpMGKsEsUrZ7jOVb3OlIX22HV2yvfu+QWSrhLEcWAaxbEv3Ap2xTI96rPKiySWutMeZsZqU9D5eojNlNLnPXqQZO4yrXWIEGFJNYCqhzE1OBef9GYpqjz+v3cfV5hjrV8dQXWWfFGcQ0J7uLSSl9vTWwHcRg9EWxBbEVoq9LfDL8vnGxqDdOnRlSmXr+IVAIlJgMNNM9lV7UqozIEoBQUEgsnwjOA3BZ387dQhKSUo6nNkK6FclQ9pqyAc7O/JfpZWi9wRuVUHvJZhN9sLah+znVFagRi8daYS9qkAJxWjGPDyeoXZWGbyvkX/0/iJSgDIIhk/UvXb3sPW7v/0tUiAZ2k1Khywl2msxh1mB2mDA/k7xcwqIvZb+/r+XPgp7QLap1X3JQfta2UMJ0UhaJPbe2y373J/49LfYvuVBd8ZqkiAIU5X333wRSSr4jgPPMaG3Rszjm16Rg84ubmKgiZgwVfESnY2wxIzZoBFleLh6hScaBwFY6xVQsglFrU+Y6tSiLH6iSfnGwMpuIyiiZwMUNcH3TJqBzZncGgB/vHo/D4zd4NWVi3y+cZxWYFEy+wSofLh7nC/UjlFrZ0YrabnKEhBDaiSEro4ohsTDVqgTE4Yauh7RbTqkg0SbOJGSkWzGY2mzKqPegFqkYuQCtptZJksd0ip0b+Yl2KopSiBI8imKSFjtFGWAuR2hrusExYTUiUEBpewT9zVCIyUz3sNzDcbKbR4YX+bDz9wJDflZiEgQNw2qC3U0JcHtm8yYDcKKSnRC4Yn+EU5ZN1nZKrO8UUFRU45Nb7HVzVJ2XB4Th1H0mDhS+d/PvoY0FiSRwrsf/Dgzep2MCHjD/EVyqsfj9YNc266iiYRCxsVQYhIEW80cSSI/q5FVHgmpkyD6GsSg5hIKtke37mBVXAJfw8r6uDUHhZTOckGa6BekJtfUInIn6xwrbXOxOTnSsAonIvY0dCdEUROicY+4pzPyxo0VUk8l9FTGF2qsrZfBV6Tzkh4jAN/TpY1l1iVyfHphDs2OyGgB13YmUAcBAEfLNRRSfnXx1WhKQq2bQRvzGM926XvGKHzd37URmQjj/2bvv6Nly87ybvQ354qV087p5D7d53RSB1rdaglliSAECIMAD0S4gMFcf5hgCQP6TBDJIAv4fG1jGyMsEW2DAYFyllqdw+nu0yfHHWvvymnF+f0x16qqfboBaYx7/7i6d42xx967atXKNd/5Pu/zPo8dIqUiNzugkh2y08+zVOxwdnOOMDDIVnuots3bH3iI399+JYcqe3xw6z5OFLe42q9wuVej5vT5u+sneGDhEg9Wz/Px+i3cc+QK670SnaGLJWIe312llhlwrVVmsdghiA1aQxfXDDlZ3uRsZ462pyVMz7dmsI0IKRStoYttRswXuoSxJJM4N5WcEYuZDk/Vlwhig6V8h6z0ubN8nW8vP0pBBnRji3kjwBAC3/AYKEFWKLqxJkTFCC6HFc6MlvjAxXtpd7KIbQcUWEMNE6Z1SCWVRnIioc0S0sRS6sAZ2ejvSiSQvs7wMtuaCOU09WvTDNwJa5hxEJL+BCI2PB3YYjsNMDqIyUC3BoUZobPcBHZ+UVarILutJhmu0jvfV/cFcjvR+H8dTFNsWotKyEAlMpDJhqQmFKE09J32xspQB0DURL4yFccQsVabSoNwKvoRy/2ykCKZhExn5dOwcZpVRrbAHMbjdcaBMJx8NmVJW4PJ/nRdO/2biRORmjqmxFXpxtahtOY9Pu8EhbgxU3+p7PwfW77qg27e1DhRO8wQxpKrW1UGgcVrFs4xZ3f4b0/fz8H5Par2gF5oM2v3GEY2M1aPD23cyhsXT3NlWONit8Y9tatsjooUbI/ndhfIzAfkDY+Pbt1MFGupwKzp81DrMJuDIvnciKFnc3CtThhL/uzyy1gsdNloFLmWq1AyhtgypOIMuNKu8EH3fhwZcrlRxR9ZzBzdo/FCTcO5xXB/MQIQEmIrhkAQBIbOlkaGVu0ZWNqCMBK09vIIM9bQKRD1TWJbYroB9U6eQzN7nLlcSmAYQVSIMOyI690y9e0S0oowzJhgzWNxvpXUJWP8nq0hMKHotzL85oN/xkFrl3pU4LZXXOc9H3urzhZtrQTlBSZz5RbrfoVT3RUeun6QOxfXee9Db+D1t53mvkOXOdPQbTubnSKtnQLzR3t8+tnjGBnd9xq0HLBjxMDgP5x9FXP5Hr3AZvPMHCfuuMIwtLCsiL1RjmpmQHOUQQrFbKlHs5/BByw71L6ugUHGDejbLnGkj7HsDtkYGozQZYFRzwEz5tz6HCoXIuyY0DMJzJiZSoPT7XlafpYrexXK1T5eYBKZMUoqgpHJ4dW6lpX0JcqKEXbMwkybbVHSGayMcfIevrQRRkwcSlSkIe1Nv0R/qJUGRNlPLPc0NB0b2uHqgtCcAtOI2WnlyWV88iWP85uzFAtDlkttrZE9M8SyQqrZIYaMqfdybOyViCLJy+cvc0txi//x8L3UVvqUbx4SIZEo/Ngka/r0IofXzbzAU9017i5oneRhZPFY+yCLmQ5Fc8gDlQucH8wTKG1MH8ZSE/NKMVVnwCCwaPSzXDRnMGXMvbNXCZXBM/4Sx8s7PNdYoJodYiUjc9tzKTkjXFNQdQZ4scnts5sczOzxtfkXWDK7BEqyZCgcYVOSAQMFkVJcCbNU5YgARVkO+Rdn307VHfDC9hzBeg7pCYSpNPPdUMQ2RJkYGcpEXlGMe0sjR2H4GtURE9lmLZOafCX9gi4D9VcjrLYkt47Oikyhg6evA3rowmBRB+XMrg5MKjGOt/ra/UaGOvPzi0LXT1XSkzucBNvI0eIZ07XT3E40DvATeSnG9eDUs3Y8ARgHJg05K0OQ3Y3HbOY4kcKOTT3pN/wkIAcKGcRaAjLJNt09NQ6IKbQcuhq6Teu3emOT4zX8CawNUwFtKqgFWUGQE8hQB77IFoQZvQ8lkjqw0HB7mBGErhrbEoooQRpCNYbXb2R3az9hfQ3S3caSiZ9ugnikgTtyBGFWw/x62/o9NfVc/GPLV33QNUXEmt3gwmCWV8+d47PiKLESdMIMn985QqXUZy3XxJEhlogZJgpVUsTkbY9u5NIOXI4W6zzRWOVkeZPdUR7XCnl0a42756/T7meo5gdcbZXxPP2kuk5A3vVo7uVZD8vcs3aVQWBztVXmntVrAFwYzOLIiEZsMpvrYwhNPOnvZREjyW6rispH2pUGdCuQJzEyEaYV4tghUaKCFO85qIxWHY9CiZEJaQ9d4lAijBg11AQgFYkENjVQtsTzJRfrNWZv2mX7WgWzaSLzAXEodWvN9TLC0Wo/sm6zXZ8jysXap9SJYNdJiBIh9bDAqrWHrww+07oJSvpJFBJMN8A0YoahhbFr89jWKodn9niuvoAYGHzh2iEcK+SWmW0O53bpRQ5PuNp1yC15lPMD9to5cBJlKTemtVUgnJMM+g75A222ewXum79CZ+Rybn0OacZEnkG+PCQMDUa7GYyBRBzscnJ+i17gMAhsRp5F1HeIzZidfh53oc9wL4OyBHbWp5gbEYQGwwQi9YYWrzl4jovdGlnXZ7Nb5NbFTe4sXef3n3oA04o0wa1l0xm5xEMTd27AqOVi2BEbmxWWF5tsBBWEUHiNjPYwBoSAOw9f5cnzB/js+hGWqh12ezmMTExv5HBgvsGTmVVUJDHMkFjBwXKD09sL5DI+5eyQijNge72CWws4uzVLmBi1KwWeY/CyyhYPznY55NQ5O1zg+c4iR/J1Vg/XOVzY42q/wozV5Uw4zytr5/mr9duwZcTlXo2KM2AzKFO1B7SCDHcUr9EMcgTK4OJwlozhs9GbYS7bpeO7zJY1tF+2hxwr1xmENlv9Il9846/zwEffSZjUcp9rLOi6ras1rjNGwGKmQ6AkO8MCB7N7XB1WePfi32EIcIWgHyuqRowlDAIiLCGJ4ogAcEXI54ZHeX6wxKP1NTa3y1wbzGK1DKyU+Rtqqb/ISUhIg0TEP07EIzIqqVMKrLbAq8Vggt2ShFmNP8Y2DOd0ABsZArMriTJplikwhorBvIagzYHuXc1tKN23mtFBIBYQ5rQKlburEk3gtKY6qcmOs9skU3uR4lJ0Q99rAtOmS6r6NC23qGHflOmrUz0jzRDR2X9s6hpobApCR6e05jDG6kCY18enHYZ0EIrc5HiUGgfusWBGrMbnoCciisjR/cb7RCrE/uPX2a4iSK5TKi4i1JStoZgQtFKVq+xOxLCmTerNBE3YJ5YxVe9Nt4FItaI14Uwl2bbh6/OJHEGQ1+dq9ZJa/JRwyD+2fNUH3WFkEyN5Tfk03TjDNyw8y0e2T7DqNji6so0XWzTCHM+1F8d2ZP3IBmZZzrbxYpMZp88ze0ss5ds8Wl9jq17ijgPXuWNxnQuDGXzPIlfx2diqUJvpMgpM3nzgNIecOn/l3MF2L48pI46UdnlssKpZpyOLgwt7HMw3cI0ADDjXmdUHbShdyxWQmRkw3MojRgbKUBq69AxU3cHL6CeyMN+j27UQpkI4AbFnIEYGrbqLKCfioBJmal1uq23y6XPHUEDYtxB2RJi4tRw9usX58wuIUKICyYrbpLLYwQ9N+rtZjOQbITIRTs4nDAyiio+dCYhCg3936nXcvXKNzYH2U7XckDAwUDFIqahl+1zcniGe9TlUaXC2rs/31juucLlZ4RVLlziQ2WU3KBArwe3VDe2yM7fD1XaZoGeTqw4ZXM9TO9zEkLp+e6ja0OxV0+eRnTV26wWtS92wIR8yuFRE1XyMkk9ldcA3rj7LhcEMF5o1Vott2q42ZI/qLrtNBwoB1aU2YWTg+QmTd2gjjQivbyMEXOzWaAyz5ByfnOWz1S/yjFjm0NIu250CN83s0J7J0PUcVtd2sYyIzOwuPd9hfbdMNTPAWtaQ6vLBXVqDjO7JLXV548zznNubpbldxFlpMFvocfnaLG7BI296xEMTpzxirtSj71s8c32ZI/O77A6ytAYZNptFkIqtKzWMvkRVQoRUhKHBy2bWeXnhPGtWg7/r3M4TjVVK9pBe5HBrdZMgNghjyce3b6HtuVzLVnnbylM0Qm0vGSiDS4MaZWtIzvToRS6WjOj4GWp2j0FkM+v2qFl9rhtl9gY5OkOXrufQH9kcmdmj3tZlnWFgYpsR7ZHLwZK+h73Q4blri7zlllPMWD2+JnuBOaNH1QgIFKRjW0nabEURVaFoxCEFIdmK4HPDm7g8muEj12+msVEaC5OgBCLQpD8lpgZbMcnMtGBCmh1BKHT2anVIjOMTMYiQMWvZGAnd8hNB6YJiVBE6aBsJBG0KlKkIs+C0gFC3zqTZKkBmRzFYEFhdHeyCnM6Ep+uMqQ9tbAgdoKdH7n21yCSoTUkkasP7JBilEO80LDpd9lRpYBLIJBgrOam5GoGivyCRoYE50trDo5rOMs2hGhsbKKknJNLbPzlIYVsZJOIUSRb/Uv2yANZQv2EN9A1z2jCY0wFQSaGJxlNBehrqDbMCYxSR34xpHtUX0BwpBC9uoZKR2ieyAfqeRyKZeBj6nqcTnxSNCLICKyFTfbnLV3/QjW3qYYFS0vxuiYiXz1wiUAYrZoN+7FAyBny0fTN2JeTtcw+Tkx7Pj1Z4tr9E3vC4p/gC5zqznNpcwhvoqduZ+hzPXF/mngNXuWlpm7zlsbTQJFKCt66cpmQO2A5K2DLiQKlJ3vQZRha+bxKMdL/lWr5J09ctELaMaKPbKfAlsRuDEzPczGvjg0ysM9RYIAYGsRMjc3ow7fdcHaRdiAcmRtfAOdRluJnHzfmMBjZGVssfAjiZgGHfAjtGRRKxbbEnFO5MSHWpTbORBwX/+8pt2GaEY4XYCyEsgBeYhKGBZYXYVsggaVVRSpDPjtgeFrBlRGOYxXUCAkN/WeJYcLK0yeXdKvPzLTZ6RaRUVHMDhqHFq5YvUjSH7AYFstLHIMaLTbqBM76XRiZiNNRG7bGCMNDaxBLFs88c4G0PPsJz2wuYTkRsxsQKspUhh442OJzfZdlp6fOXAUeyuxxZ2+XysMaukyNWgpGpJzFZ12fo2XhDrbjlZyNUKJC5GCKBkQ3Jmj5vP/Io7792P73A1hrCu3PEsaTfyPBk/SAiE1Eu92kFLv2uS63ao9HKEweSjuey189iypis4xNFkntXrvCB+/4r/+ept/K6tbPszufpBQ6zbo/SkRGvnjnD091VTt50nTvL1zWJKR+z7Wom7y21HQ5m99gclXhsa5WZfJ/mIMNrls8RKINVt8HzvSX+cudldAMXQ+jWmyO5OkFskDV8nuksYxsRtxS3uCWzwSVvllO9Zfa8HK4RULEHWCImb3i0ggwbozK3568TxAa/dNtf8uvPv5lnmsv0M5rdX80MWJlpsTkskrUC+oHN8YUdXvXxn6bbK1Eq6O/l0Vyd66MyN7k7fNe9D3PY3qEbu9xhd9iOJDPSxhIGA+WzG0V0Y58FA3YjxR+37+GLe4c5uzFP1De13GesCT7KVIhEBQwYw4TpqLsPbjSmvFUVWL0kA0tIPVZXYHUFQTFt+0mUlzyBX1IEWV2bHfd3JvVhpyES95006CliqSfCRhJUZp4N8UoSJfW6QU5oWz+p67zpEmX08dhDLQ2ZZsHGSAdXTUoSE5ccJvudtBbpoKXZzEk2KV7MUk6vj0iJR4ZgWJXaxH1GEhs6CFl9nWWPM9WU5ZtA1OZoEtBSUlhskQRqxkzitJY6vk9JVmoNJhE5ZV7LSCUuR1IjAzBuuZpeWsdsUNBfUeSv6gmHTGrBaZ17n+nDDZcgNtAWhXFyH9JDUbpuPe0D/OUuX/VBVxIziBwMFI4MeKq7yk25bQJl4IqARweHeHPpFP2BwxVZ4QuFm/jx2uf53827ON+Z5blwkcfsNQyhVY6yBY9Bz8H3LGLf4JHzB5mZ6ZIveeRtj71Bjm2vSC9yCGODg/m9sSrWIJmu3ry2xcnSJlIoPn/xCMszLQwZ4xghZzfmMXoS+2AP/0peP4zzHvRMlK8ZosqOEU5E3LPAifip+z7Kfzr7oCZDFQIiJRhdLSBmPL7rpsf443N3M9jL0pYZ2iWXbz7yDH9cfzmiZ4CEKBejehb9ok2rlePYyg5nLy7S3C7ilkfMl7psXatSnOuRc33dB5oEPAVknIDluV06njuWj9ypF1lbbIyVhVbyLbzYIgoNbq9tcKVXZS7XY71d4valDQ5kdnmyvcbB7B6GiHFkSN7wWMs32R7qoGLZIf7IJJfxqGaH7PWz9EYO29tlHrjnDB++cgvDnoNhxczWuhwu7fENM8/QjVyeHywRKcmM1eUPr7yc+2YvA3C9X2a3k8Mf2KwsNmgPNTbm+6ZmGWcjXQ9HEjQdcGPCocmVdoXfbb86aYEyiZVAKUG/nkVmQywnHCMIcSyJ+xYtK0PUM5HZkN1ejsH1PMqNabsRphVxrqUz/49t3swX3/jrvO5TP4EXmjx9cQXDiXhV7RyPrK+xUm7z0O4hLp1ZpLLWRCnByLfIWR6PNda4rbzBoUqDI/k6T7HCfYUL1MMi7TBLwRwxY/e4N3+RnPT4bPdmHm+u8Z2Lj3DFm6FkjTiQbbA+LGOJiBmrSz4/ounk8GKTY5ltBrGDJXSW/iu3/y9++dlvZM7WVnYlY0jBHlG1+9yaW6cTOrQDrRHdHrp0exmkEZFxA44u1ImV4M3zz3HM2eKyM8trs2d47/YbeP3SddqxhytMRsmo2Is9RirGV5LHvAp/sP0KHr14ANW0x+01MtJkQEgCnK+JUBqq1EIOwhPjgTIlTKHQrXMwHkjHbS8JzOnu6Xqi9ARWf/K63VcYnq51TvdxjtWk2lOBOAnow1kdsESooUpzlGgZm5oRbHf08WmiD2OxidjSbT1BQR9rKqSR24p1q4yYqt2Oj10ltWkx7ssF3WajRIq0/v1RY0w8YgJxh1kNnZujqUCbBHaVTChSwpMxArsX4+d1vTzIJzCw0qYP6XWZhpcVsE+4Islig6wcX1/DVzjtmNARhEVIHsF95x5bmk0uQ33NzJFGAFJiVLp+OikYM6aTc46tqWNL1jdGagylh25Sd79BiOMfWr7qg+4nrh3nbaUzXB7VWHZaSKE4259n3umMGZ95w+P2lXWyps+ul+f/uPpWnl5fZm2miSljivaIZzaWUEoQBoZ2PvFNkAohFM12jpI70kIchQ7twKUbOtgyxEi+hXflr1APC3zTsVPM2R0O2LvESvJn/Xu5ThnTjLhpvq59dMsho+0cMzfv0Xh+hkMLu1x4YQklFMKJUIGJCiRWeUTomcRK8s5bPsrPNb4FKRXK0bVbxw350PpJavkBD6xc5vHtFVwj5K8v38r8gQbbm2UIhSZetVz2LlTJrXU4WNhjc7ZAd7NAcDVH+Z4driQPcnfgks96ukXJCun2EoJaq4whFHFeMAgspKmYyej63Fa/yHq/RLXSx7QiLndrCKE4WqhzfmeGc51ZhpFF1R6QNXwcGeDFFpYMkSiqzoDtXp4DNd13q5TAC00MqWjuZCGUPL29RDEzYibfp9HPcs/sNQ5kdse90btenlaQAebJWAEP1w/iRwZvP/A4v3vptZh7FqNZk24rS22mi+MExLHuzgzaDgiFUfapFAe0uxm8wBpD289eWibMePS7LsLRQhqLlQ6XL8zTHBR1ucCNdE+vGyENRX8np00nPImKBXExZutqlQPv/zUyBS2Wcf7yPMVan+MHtjj7/ApPdVcYdl0uehZKCZRQ3DW3zlP1ZaRUtP0MXmjyTHOZUEkiJMdLWnkpTiYcWUNDws8M1via3AVekT/Lot2iIIeUzAFVu09W+txXugTAYWebfuwwb7Z5ur/GSFlkpcclb3bf92zdq/Dmz/wfNEf345ohjz93mA+N7kZVfehaKFMjM1Iqlqodqm6fb5p7moPWLktml+f9eb41f5oIeFvtMVxhECSp4gFTE6SuhyYf6d3B+8/cx3A3i9GTCJHAfm6aXiWLmujtikBnvSiIbKVNBOKEGKV0UJaemLSqJIFxH5M1+fHnFfnryX5U0l8bg9FW+zK1MKMzXRFBUBE4TbXfgi4ZwMOchpv9os4CnbZiOC8wRmpsZg+M9ZOdhj6p0NX/p+8bnhoHhTETN+lBTeFkGWnnnMjSvaqaLAQqnkwWpm3/0nMcW+kBblMxqiUQfKRFNPy8ILbFvvWnl6AgiFyJ3Ums9loaIkYwdikCDSWn2a0gnRilEVjfj1FFOyGNKpLsrhbqUFK/FmbE/uCXbNpuw6iaZNeunnwJoSY9v0xg5TTgCqbek/tr4+m205JDHAIjvuzlqz7ozuR7PNNe5tbiBhWzT870cKSWTby9tkEQGzSCHN84+wyWiPjzrXs4szOHZUXcXl4nb3rMWR1+ePHT7EV53vmFbyM0JZYVERsx1WKfbpIdDUOL+UyXgjVie1gEE+acLqEyeKq/Rt7Q+z7bX6BkDHGFz8uOX+bJ5w9BIeDiXo1ytU9/4BAA9asV7LU+EjVmvr786CUeOnMEAkEUGBhWzGFnm62grCGiSHLvscv0AoevnTnH322epOiMeLaxwE21Ootum0ZZD+pLx9o8u7FI0LMxiz7xtoZBr/Sq3Dq7xRXXY+uFOWqO7gcNQgPX1oQo24jY6+aw7JBeK4OQigNLe2wOisxne1qo3ncpOUNagwzl7JAvbR/E90wMGXP69AobS0XiSFLv5/jYa/4dr/nkT+IVTI5md3BkwCBy6Ec2sRJ4gcUotIhiSRhJNhP/VTMbEoVajcst9Kg4AyrOgKuDCuc6s/QDm5VCixm7TyvI8GD5HJfcWf728gl6uzl2l/J8771f5A8/+SrthBQJbqlt8fT2Ml6UZLeWQowkUcemEQvYcYjXerz6wAUe3V6jUB7QaOV44OhFvnj+MELqrE5kQlQsIJD6S23HzM12GPoWXd/QJghOyAMHLvHQ1YNEyoZQks94HPmT92BtZ+ioHN1OBqPq8blnjiM8SZgXnDy8znPdVT5x+mYqtS7zxS6toctsrs/J0iZebLHsNDnVXeZLvaO0wixHMzsMYpstrwRoHeFAmSxZTRpRntvca5SNAZYICZTJRlDmT+tfo40MRrqm+wSr9DyH3Z0i0or4izO/RLj3ao7dvM65Z1cwPEFmS+AWAAGjoiR73cC5v8Vsrs/x0jYLdofX5p+nJD3KMqYgTWbdHYoyS0jE/W6LM4HBkgEbUcRHeid4tHOAz585Bm1LQ7pRIptoJjmaAKSaOMzEuh4rfTQ72JyQeqb1f5UEYzDJfNPsNWWsSn8CH4pQkdvQxgMymmShqZcsSmdUsam3JyMdVFSSGVpdPZqHCdFIBkmdOFD4Bc1eloEmXIUZXSuEF0OukauDuF8WY9P7VHlKxGpfu8tYISqp9Wp4VxA6OgvUDN3J9lOile7P1YElDd7KEAS5FEHQxxhZegKha57JNqZrxQnRKTYEblON13ObOlg77ZgwIwjyiQ7zdG2aCVQtFIS2viZuOx5vX6DrvUpIzfguJRCyt/+cYgdGuZjYkoRdbZmYujSlAXT8t0jPm6lryeR6CF2vTl2TIkcgB19mQOL/B4Kudh6BVpglJz0Ouruc6q6w6LYpmCOGkUXRHCGJmTU6LGXbHD+6TckY8vWFZ/CRbIUlXBGwbDYpV/vacxawjYi+b3HTzA5ZU+s3S6HYHhbxY4NGL5u0XRgcyu1xyKnTiHLcktmgFWXJScWxQp3rq2WabT2otRo5CLQwA6Yil9FZ5Y8+8EnaYZZAGTzihpRmB/SHDv5AQ9YFY5gM7rA3ynFtt8zVZoWs49MYZOj3XJrdLE+hs6LDM3tc75YJRxaEkrBtIyoBxBomlUIRRAYnX3aZL60fADNmtJ3Dr3g4TkBgRsyXuoxCkzgWLFY61Lt5+js5XnbiEr1WlkylwXfMPcq/uvQ2CpkRUmjxhOvtEu6WSS+XoVTW5wHw0wc/wv/cu4cdv8CC02bDK9HyMjSGWZSC18yf5QPPfQ1RKBFSH9/xpW2kUPzNK3+Xl33oZ+n7OsjGsdBWbjLmYqvGo40DLM+1uJSZ5VK/Rm8vy2tvO40jQzqhS/5Qm+2tMtKOOL23QJDY98ligGraiLKPYShCz4BCxCvXLvB8c4FD5T2e217AzfjUh5ogJED3gEqFaUcUZobcNbfOZy4dYft6BSMXIq2YldkmV8/O81n/KHFg6CzYjrANDTeP5gLE0GB+ucnWVhkiQWGtQ2c7z04/j9U04KCHa4XcP3OJv758KzcVd+hFDo4MOT+YY97p8kRzFduIsGXIxrDEKyvnxzaVjTDPjNXlnx3/DO89/QZ2/CKf2jrG1vUqMhMS+0aSUSlk2yLOaDb90Vs2GAQWectn/ck1zjoL4EZEQlJ4Y532IEPW8XmgtknhjhGvLr7ArNHhgDlgoASt2GbBgAiBRHImsHiZExGoiEEc8dtbb2LW7vF3l04wWs9jDAXSAIQat+rEpraLRCbQcEqkiTWsbI50C0mU0b3nTkOMXXAMT2sYh1lFpq5hXW0Mr3/SdpYUNg2zAtODzrEYsycpXFYYaXBm8js2Bb1lPSHIbimdgZoaik37bw0PIg8yezGDeZ0WGr5myKqCzpBlkLBzE11zYJzZpkE/nRCkbStpnXLcg5t456Zs5XSRocIQGhqNTb1voRQKkUCsk2AkEsZxbAq8kn5fiUmdWTIJWDdqQQsmAcvuKj0JSDSmZaBwW7o9ygjUWGFr3IIznWUmMdYc6frutIduOkkyR/q1gVavxVb63MKcGgdMwxcEeUWY0dm32dd187TfmLTuLV6izptMqlIrQYJkMpH08I4Vwr6M5as+6H774mMUC/D5zk2879zreMXiRV5ZPssTPe3x+vrSc5zx9J2KkRxw92iEOf7LEw9SuHdE1ezpQNc/woeunORfHv84/339fo4Xd9gaFehZDrvDPEv5tm5FClyutcr0+i63rawzCG3avsuh3B6WCImV5EO7t3NP6Qrvu/g6fvLYx1g7tMf7L72cgWdTrAwIQoMwlLz8wGVeaMwzl+kya3Z5uHmItp/BNCNydkBjvcx9t53HQGGgKM716DRyOEbIyw9c5gvnjzAaWbzx2At0ApeiNeJit8aZy4vs5bLaJ1YBboRhxxhmRNb12R1kyVker1y4wLneHDnXxzRiSksjep7NbK5P23OZy3Y5szvH8YUd7i5f5c97LwND0Rhpb9d+aPPk4AALs23agwxBYBANTFYWd7j2MkHGiDCNGMuKOPGX/4b7lu7lie0VjtXqrI/KjEKLQWBzuLzH9qDA5WGNSqlPzvZZ3y1zuNLAT9i2AKvFNhu9IrvDPDOZHq1RhowV0O/mUB2bYEby8es3cXJmi3xtwAutOR7ZXMPzTIKWi3AjYs+glu3T6bscmt3DNUKe9laplPu0OznsbIA/sHhmb4lGJ8duL8cbDp7h0foal+pVLv/Tn+HAf/4Nrvzgv+LA7/1bYifCcyzagYuKJYSC+VqbIDJwzUD3/gK58pC867G9WWb98gy5uT5uySPI6hr41noFEQpWyy3ODBwGnk1QibhloU7ZHuLFJsulNtcHZfqBw0quxfPNeb5h+TnylsfVTgWAV9fOctWrsuY02PRLdMIMz3aX+GfA//X0q4k6KU0W4sACV/dEy6qvxQhMhRIxx4s7eLHJxW6NwckRy3MtNrYqnDh+nXsrV8gaHne4V5kzekihWDIiYuBikBm7+JywNmlFIZ/3q3xg6+W8vnaaP9+4mys7VaKWjdE39ICaCiLEaDawoQOv9AWkNdspApQxFOOAEWV0vdXZ0+ISkSsYzcXYHUmY1w45oOuBIlJj1vA4+0sH9f4kIzRGjKHosTxg2tuZvObuJoSfEA2rRoyDmemBsauSwKw3mvrlBjlNpHJaSX9sEqi1xrfAaWgCkTI0tJv2xhr+RMt5HPBurF1OLTJUY9N5rcyUZMpplqtUYiogxuu7DQ3rMsX+jS3GGWe6KBhPAkDrTMtQ12fTxStrB6Hcls5usztxklXq4C/Q13MwZ5DdicYZp1Bq7EI0hsKZEKvy1wS9NQ3bR65KSgjJvQlASHAbYtyy1VvTz0t2W40PXptN6H1YPV1jB8ZOSLGplbw6a4Y2qBjdwCb/R5av+qDbirLMCT0YNds5Pu4fZ/FYW9d2O3O8uXSKIDa57td4pHuEewqXcGSAMGP+++Wv4aZKnZzpMYwsvuHAczzWO8Rd1Wt8fvsw240ibzz2Aqdb87y8fJFNv0xW+oSxRJbajCKLrOnjGCGxElzy5hjENk9vLXFqZ5F+O0PrcJbT/SV260W+5bYnaQVZ2oHLg9Xz7PhFyvNDHiye5WPNW5lzezy7uci/ueNv8JXBL+y8hbfMPM1OWMCVmtR08vA6i5kOnzx3E8JQxL7B59cP8arli2yNCvyTxcf55cvfyNZWWTOeAdMNseyQrz/0PI/trWHLiEO5PU53Fghig5ztc1ttk4wRsOvnsGXI3dWrPNo4wLFanVFkMYhtTsxtUS/kcYyQk0fWMUXMxf4Mu+08h2b3uKd6lQ8+fh9nrs+TL4xoNXMUSkPiWFDND/jUmZs4trLDzqBA37d51eJ5LjWPU+/kqRX65Awf24jYbhc4sbTFrNtDipjL3Ro//fQ/4WDe5NUzZ9jxizzeWMMyIj7xmvfyqo//NJ/9ln/Dgf/6GwA8GZpEkaTe1K1JAMKNxrrV290Ci5UOM24fS0bcf/MFrnQr9K2QKDRgZLDbLGA7AYOewxG3zieGNxHuaGP0tOd2+eAu65dnsM2QJ6+uogCr4rG1WyIemAxmbG1oPzDJVPoMfIvKbBchFEPPJgwMVmebtAPdx7t287a2xfMMXnv0DE86K3iRydeUL7HjF5nPdHlkfY2c63OkuMuBYpNISebcHivZFn5ssumXeHT3AE8ZK1zarhE3HJQVc/CJ30RlklFeAJbS2tOAsrTFXpCNKc/06PVdPvPndxPe26WcH1Au9/mO1ccZLNvcnztHUWhv55EyyMoQC4WBpCC1ylZOepSNAb+2ey9/e/UErWtlhC94wjqC8AWGL5BTCkIyJTr56bdaZ6ppm0ZsaXKQ1dUZVZAT9Fe0Nnj5tKB9XCVMZIXd0YMuKOym1IpIQgdcq8c4ekyXh3WrjD6W0tmkRzTJikY1QWZH4Rc1YSd3bdJbmwYkGezflhK6fjkqSZ29DWNC10DEEJe10ARMAniahY0hUzWBc5UApxuPlaRS3fM0C0wFcfQ5TWq1Iqnxkrj5jLWPmewjDbhp1itDyDRizKFksDCpgd7obzv+DLqP1Ujq3ikxah9DWKUhdjo7VgzLxlitSwdrNT6H6T7j8flEYKCwe5C/qr2JNaogiDKJOIittGRuNGn/sjo6+x1VNTnO8BJLQUc/Z5GTXgtQSXnCaWm43G4nqMtLTGr+oeWrPuhaIuLj7ZOs5ZpcyM1wfGaHD5y/l2JmxGsWzgFwZVSlG7hs9Ev0I5tICe5Yu872oMC8o43nD7gNAOpxHktE3D1zjYfCQ3xp8wBvXj1NrCSuDKiafb53+Qv8p6tfy13Va6wPy9xU3KFojrSRguHxz27+PP/l3ANIK+a3nnoDUSjJlYb87zO3c2CuwTtWvjgmYOUT5vUrS2f4ePMEC+UuZ0aLVM0+33brk/zKs2/mu489xonMOj947Is80V2jH9rcsXadS80abiXgjUsv8HRrhavtMr927c1aVzgUWkwjlIS+Qbk4wBIRr5i9yPn+LJujEoPApjnIkHc9zrTmmMt2aYxyWEbEKNL16yc3l5kr9rjQm9HtLZkez+8s8KYDpznXm6NsDwm2M7QKGVwZgIKF2TbbjSIqkgShwWK5wxvnT/P77fvZ6eV176vtsz4qU80NuLpdpW26mDLilso2zzNPfZij5WUIYokA+qHDg8WzWCJiNyhwb+0KL3TnASg7moYqnIhMTo9cYSgJejZGLiCT8VleaNP2XBZzHa4lWeGZxhyxQquIXalhlz2tHd2yiRoOXkVALPiPLzyoSVelgJv/1y9QnIk48ifvwbRy5Od7NNdLlJc6tDaLqIFELIwwciHDvs3SwV02rtRodbKEfYvCbI84lsyXupwsb/Hpa0e5o7qO5YasFRrsDAssL2oxl7etPcVfXLuDs4MFvMjkC5cPIQS8/cDjXPWqvLb6Al5sUTX7fKR+grObcwQ9WwdTI4HdBOPgOv5tJu+5EUIqYiCT8Qk6tm4Z69isft1lsqbPTy1/BB+DE1YfA0FeOlwPA2JgVobUY5OBEjRiwfv3HmBjWOKF+jyDroPctRGhQJp68FKJipCGTcUYFmSKyJRqI1t9XR9UUpDbjsZiEVYvJnIFVs8gtxNi9iKydRNzGDCqGLitaBxQlDB0pjMShLMCuxNPAscNZKJ0magtTfnaunoQL5+N6S3rQB5lhFYpUlo4Qms3C6SHrmO6evtBThBbRgIvJ1DvDbrDaSC1Bmp/zVRodyCnLcYZa2Sl5vQpOUq8CF5OF309U4JXwhJOMl4lUwh/ol+cZsypeMd0r/OYrSyTQ4wm92n/TvU1yewp4tQAJJzINY4h4ySI57bi/frJTIJt6ArtydtV4xYoGSisAWS2JF5NlyCsjm7pkoHAGIkJFC40/CwjkWSsWj1LhGm2z0TaUk3OKTbAn5UY3qR8EL30JX7J5as+6F4azXK8toVBTHfB5d7iJZ64usrJuS0ezJ/lVnuPz1p9zrbnKDojzrZmmc9q8tOJyjYAV/tVHto6xHcefIw9L8fxyjbbQZFyZsggsHBkyG6QZ9lp4sWanPLNi0/zmcYxHqye55O7N3PX/BVcEWjvXmUkEIwi7FuYuYBjtTrXOhXqvRyXvDmOutsctHd55xPfyo/c+llmzS435XYomh4xgm7kYhBz99I1/nbjJB/iJIZQ3F7dYM7pcm1Q4evWnuep1gof3zzOHbUNzu/NsDLb5NvufILf+uTX6xmarQ3vuwOXZztLfP3sKR7aPcRitoNjhByf2eFqp0Jn4GIZEVW3z/agQBAVEnEKuLI+w0ampLV7cx79Zoa/6N3JseUddkZ5Dp3YpDnI8FfXbgPgZbV1PjdysIsDypkhs26Pz+wew3ECur0MXmDyrUef5q8v38pdC9fpjBwWC11mrB6nmkvkLZ9rzTKV/IBYCVYLLZ7aW+bT146SsQOGvoXvG7huwLE//yUsa4aXfehnkWaWYdclWxwRNFxwtFD/IHJYXWpxfusYSgmK7oitdoHZQp+rm1XNVHYjwsAgDAxm1loMPIvR0EaNDEamjeMGehLhmwzrWeRIUrhpj1Yni1EMcO2A+287x/nWDLsXqsgZj3iUaFO7EXEkKMz2qOUGbLWKnCxvMYws7lu6wv9++C6+/f5H+Ni149xUqxMpyV35Kxyzt5BrMb3Ipe4X+N4TD9OOMuSNETdnNvno7glqTp+PPX8C2hbKiZHDpOXCVtqCsaJdllIBFQAhFSqQqIGpE5hQEJUl2RnNFikvdnj97At8e/EZFo0sfz3IU3AC6pFHlhhXwLXI4VyU52+ad/LQ1gEaWyVti5gEFJnI65kD3feqDIXZk2O4NFUwUkKTYIjATFpChNKtJkoKrGGka5SeIsjpHlKrE1HuRLrepsBphcSmwG1EKFPQXTHwygK/rIgthdkX40F4OsNLW3U0dDsJbCICr6KDm9nTzOPIBq8o8GqK0tkJ3JgGZWVoMQ07IVMFrqC/KshfURMXIJHUmV1NpkrN4GWkiA1tqmD4jA3tg7x+bR+Ralxb1cIRkkkg5aUCwzjApdnj5DqkCEBsJoIaQmd4MmI8SRi3SDE1R0nOx23FWnQizYaZqvvGibb1Da1U6Uacdqy9dkM1gcynJiLAOOiJqSAqlJ6YOW01bhfyi4q0Jzm2FH5Zt33FNph9HZCFoa+nMkAmEw6FvgdBKZmEhro32y/rg4gtzTiPTf18frnLV33QvTKo8kJwkKKtiTxXvRrR0OR0fZ5PZW/hjtrn6UUO13aqrM41uKOmVZBeUb3Ak51VHBnSD21undnkqe4KF5s1KvaQeafDfKbLyDZ5vLXGt84/AYBBzEGrjkHMSrbFZ/eOcXtpnd86/Xp+6KYv8DtPv4a7D1zlDatn2ByVeGFvDj80eXZjkdAzKZUHPNddxJUBK3aDxUqHWEm2gxKODDjXmeX4whaODDjg7DKIbVbmz9MKs1zuVXlj+RQxkhVb+/qeLG3yVHOFXS/HPznyJP+0/Aj/7Px3joX/pRNRLAw5Ut1lJdvikjdLzvK53KnSGmS4HFQ1UzsWBJHBk2cOIuwIw4oJOzaFhS6HVuqMQpPeyOFQpcG5WFDLD7i0U+PoQh0z+WYVHI9GJuKpvWV6PZfbVjd4YXuOTbOI72nBECljXrF6iY9cv4W7Fq7T9LKUExLW891FTBGz08sz6jlsDS2cTMDAs+leK6IMxbAQoGKBYWm7vMAzWZtpYsmI5l5Bi4sIpTO9WLA438IPTR7eXMM0I7a3yhSrfWxTGwqoocnQUEhTEQ0NxNCgAcxWu3iehVMd4vVthoMMhbkes/k+12SZcC9DGEmCgYV0Inojhyd7K4zaDqIUIGVMbrbH21aeIloR/PX67VqRyXP49pue4OnWCgfzezyxu8qBozu0ggylzIic4SNdxdnhAm/KXuQp6XPCXed5Y5kgNnlo5xCfV7r0Edc1TVZlInBivvvlD/FHT30N1rpNOOsRhw5OwdNqXI6Egan7wIcGCDCKPpYVsVJt8U+WHmfdr/Dw3kFeN/cCb8o/x7yRIUZxzpvHFQF/sP0m/Mhge1Bgc6uCGhkazgsEpifGY7lKap+xqRmxVkcSZnU9VVnJ+4Ee5GIXgpzCaWp42ByC246STCvG7E1GOy3Jp/bVMDXkqn1sI1fSOmLg1RSxHY9bhSJXD/qNW4U2YpcgArB6mqAjk/5dv6jhxjCnyF9TeGVBfisiyAh6K5IgLzC7OttKLd8QOkDdGPG8qsBuJgE96a8dw6lo4wRU4rObZp8iyZql0D27ps68ZaDGgXKa7Uu62zSY3Zi53wAHT/eojtcTesIQJUGtP68t/IxRYqM3DQhMSVMqE0YVSW57Uo9N25bSIGzEarI/wbiemx6bDCZs9PT8b2wnnj5fPyuxBnHCXFdocFIreAU5hd0ShFl9krENCJ3ZWl2tKpZew8iZ9D+LWLPbY0dht8XkGJJzGMtc3nBc/9DyVR9064M8S7MjZpw+tgyp+wXcooYYL/RmeB8PcjhTx81oOb9Zu8uhTJ0gNjmQbbDjFThc2GXVbbLhlXnD6hkMYrLSx5EhB7N7uDKgbAwoyCEjZXHBn6Nm9lhzGjhS13NdK2Q7KFIp9ekFDm+aP8VD5jGWMy0+fOUWgqFFudqnnB1yvjHDOxa+wH/ffoAfPPA5PtI4yZ2F6zSDHC+fucR1v0LV7ONJi5I5JCt9ZqweJ3PrXPFnqZo9SkYfS4T89fpt3FLZ5qbcFrGSnPIXuLQ1gzBiDi3vcry0g0Tx1N4yANe7ZRqdLKszLaq5AVvNAqMLWlYw/7IGVsEj3MugKh7Ck8Sx5OKFeYx8iJQxp7pLvPams4RKcn27wpn1eWoV7XjT67tIGdMeupSKAy41q3g9B0+BMBQzsx1msn3uLV7Ciw0iJdgdJvKDkUFD6VYnIRRKgepbjGLBcKA9dI1SoE0egHBgEkeCTM5jp6tZxSoWGE5EKTPCXda6xfVmQUtVDg3dYxsJBgMH2wnwIwOnOsQ0Y8JQMlvtsL1dBgVD36KYH9K6UkaWfeJQ4nkWVwZVrXcdCJobJU1IigSBHeIPLTKJb+0b116gFWTZ9EscdHeZy3Zp+xkOFhtcGtTY6hd4fnOeA7NNDhd26YcOP7z2WSwR4UqfelgkAl6ZPcdvbr6RJ7dWGA601y+BRI4k2Arha1UmlOIvL95OpdYltxjQ6GcpzbTZuFbDzAUszbVYv1JD2BG337TOwfweR9w6t7nXcEXA7XbEY/4Gbyyc4tRoFYniajjkA62v4Q++8CBj+0lDJUziSV1WGaBMPcDKQIxrk6avg4cI0QxiC4Ks0gQYwG5IgoKidB5y2yHST3pivUj7s8rEDWecnSqQgiBnMCpLMs2I1mETZeogPpxTKKGJVVZH4DYUoSvGWsFBHoSVMGyTQTXMiLGAg9tQDGf0Z42R9p0FDfsaPmTqsdboDRSRpV+XgcIry3F7UBpA8usxsaHF/IOCzrDSVqIxejxu2ZmMZ8rU20gH+/x6PM4GIal5CiaCEukieLHi1BSMOwl86XamAmUS/GJr0vYzTPpsp9uNptu1UJrhHDpat3k6kAtu+PvvCVhjGUymMtzkOL2iJHQT9nEy0dLSkHqfhq+vvdXTOzAHCcs4q2u7YwKcrbAibaighEYihjNi7DYlA7BDUIkfsgx0hh3kJ+jB9MTgy1m+6oPusdIOpYyglBRjTrcWuHv5Ggeze4A2rJ81u7zjpi+x5ZVohxlOdxeo2APOtOb52vlzYyWpWbvL9WGFeaeDKwO82KQTurh2wDW/xgPZc8CQZ4erfKZ1M/NOh81RkZ1hgW9cfZYYwfcf+iIPdw5zxlvCEDHbXoHvOPIEn6kfY7Nd5EcOfJqPNG7jXae+ld5ujjNzc3zN4hUAepEDEUiheLKzyoGsrjOPYmssc1kyBlzxZlix95g1u9w1cw1LRGSlz2caN3FlpIUpTCfieGmHjUEJKWKGgckTF9fI5D1OLG6z0SvSaOUxzIh41sfKBNxXu4xSgrO9BQwjJq74VHMD+js5oq6FaBvE5ZBZu8umV4KmTflwAy8w8Qc2bzjxPF9cP0RvL6u/aL7URA9DUal1qWYGnN+a5a/EHbRGGSIlmM/28GODIDbY6ebpDxziQGJnA4KeiRK631V4kqhrgan7mdP+XdcOGPkWldwQczZiPt/j8l4VxwpprRdxZ4fafrFnakvEUBD5BrVaGz8yiEKDMDCRMiaKtSY1fZNuy0aZCndhgFJQrPaoX6tgFAINz1oKkQkx7YjQM7l9aYNBaPNA9SKBMvS9BBp+jpfnL/D62ml+7/yDNAYZGrsFnJzPt9/8JM+2l4iV5Otqp9iL8ixbTQB8ZfIdz38PrX6GQT2H1TKIM1qsZf4hwe6dQvurJtCh4UbcubDOYx87Qf+WLv7IYnA9z+ETm2TMgNfPnqa9mOXrik9z0PR5wquSlR41OeRzg6NsRW3KcsCneif4k7N385v+G7WHbsfUA5YxGWwhgYhTVmyi+hTbijAb49YNwpwiMhXOnhgHpCCX9HEmxKnYURQuQ+lSoCHVpNc0smVi+h7vgySFgiiBj4M8dA8ZhFMkGhlouNluQ34jTtSTSBjRWnEqu6kYLOhMJ8zqoAZJMIsVmfpkbHEbMUFWH2t2W69n9dUYWg6ygt6KQW5D4bRDeov6DS1DmMC2gQ72eicw7hkVSYB9qWUqSFm9eB+xSDDF6k3jQhoMldoffKe2cyM6MJZvFJCSn2Ri/QegTMmotp8UlfKd0mxQKI0OaNGL5MGIp1JjMQmmLyVqMd03Oz0ZiE2BX9TbGdmTjQgFuc0IoXQLUqoNrQaJ01F6v5OMXBl6wmf4gK+fwVEtcZcKJxOCVCpTGRpdMLwbEIVpdODLWL7qg+6J3BbX1BIX+rPcVbxKqCRrmQad0OXB4lnqYZGNoMys2QXgVHeZij2gHzo4RkgvdJBC8YEX7mWu1GMu22XPy3FraYMT+U12ggLtMIMjA7qxy7zRI2+MmHc6nO3NUbA83jz/HI+1D3IkVx976Y6USZQ4qNxWWOebFp7hTHGBWEnK1oBePQeGtsNbcDqMYovz3VmK9oiNXmkM49XcPlIoFtwOq26DQBl4yuTjzROsZZo0/ByD0GIY22z0SgxCG2loScvLvSqNYZZH3vyrHPqjX4GORbDp8EzPQUUSfElxaUBraJHPjvjj5+8h6NgU5nvcu3CNTz5/M62hqwfVkcQYCaJA8kJ3nlfVznH91jLnr86RK4148Pg5PvrEbRQX9HUeQzShRJkRXmAhheLmpW36gU0YS8rukK1+gblcDy8yGXkWcSBRoaRa7LPVcpBDg9iNkZ6GERWSynyHoWdTyAfYZqSVs0b6Pp6+uIS1YzGsaE/g0V4GrBjsGCMbEnUt1FB7v4ahQeQbqEgQhSb1no29YxI5itLxBn5o6najgY1V7FNc6KKA7lYBkQ84slLHkhFHC3VW3QYPNQ6z4ZVp+FleUTkPwKLdZi/K89HdEyglGHo20ox5xdolSuaAoj3kzsJV/nr3Djq+y6XdGv7I1DrabSvR3I4JC7HONBFktwNi2yLOxJhFHzxDC3t4WW20boe8/tBZOqHD9899nr6yuc/Zoxsr1swsnrK41d7jD1r38IEX7sXrOoiRAYUANTC1cUA0UXyaHiSNgdRs52AyIKupbCCVWkxhZl3PZezjbPVSUXm98cyeQoRKw9+AOYoYVU1yWz4iVnTWXDJ7IcMZk/y6j+HF1J7zaB636ZVuyMRMhRwIvIoitmQScLVRvFdRZDeTrDOV/1OaqGR397enAEx744IelAtXBvRXMuMX03aSyIXBnKmt57K63ih9nWF75YlsJWrin01yCSYBc389M33/pUhSacAdCz4kx7nPkJ39701vU0YTBrY+N6UnUGJyQ1Nru+k+2jSoTSt6ybFwSOJZy34Iefpz+xXF9m9/OsDJUGnmsAKvpK+ZOZq4/YgIMKbq6iGoREIzRQ6UVDh7cuxRPD3pkFECMSeeyCnbOeUahMlESzDVKvQVMJi/IrJzFEX8/M//PIcOHSKTyXDkyBF+6Zd+CTV145VSvPvd72ZxcZFMJsPrX/96zp07t287jUaD7/7u76ZYLFIul/mBH/gBer3evnWeeeYZXvnKV+K6Lqurq/zGb/zGV3Ko42XZalCxBowik27kcltlg7pfwBIRgTJ5uH2IkjHk/GgeS0T86PynqFl9itaIu6tXAZixeoSBycZuma1+kXO7M/Qih49t34yfZLuDyOG/1x+gEbssmG1uymzxTbNP8f+Y+wwLZpu1TIOnWyus17WmbTPI0Ysc3jh3GleEdCOXGMHfNm7T9oKGzk4O1hrc4m5o5rOpBRj8yKDgeNTcPte7Za51yzyyc4Dne0tcGM3x2Z2jXO1W+fzOES53qmz0Snxh/RC7nRzr7RKGEbNc0Wzd7a0yAJe+61+jLEVQC6FtaSZrDEppe7tON0u454ISPPtNv8hT9SXuP34B19Ies9b8EP/QiMJKh9PbC3ypdZjzFxcwnIj5YpeHrx6EGDrNLCePriO6id2cGSMMxaDnsJxt6xJAL4cfGlzcqdEdateZa7taKlNFOjuuNwuITERcDMnN9QmLEcpSYMXYZoQ3smjuFKg3iuw0inRbWY7V6uBJwkUfqzzSX2wnQrZNrUHdt8BS2NURs/k+UipMJxxLZRImjjKxIGcH9Oo53ULkS/KWzyuXL/Lth5/k277mUV5z/CxvW3yC+UwXLzbZ8kqsZFvECFazTT5WP0EndHmkfZC/3LqTJ589xFy+x8uWrvNttz7JayunmTfbWCLmf6zfxcOnjrLeLml7wnUX0bBRboxK2iBIWL4IxeW3WMzdXEcOJJmsB57B61+m+3Xf97b/xk/c/AneNf8J/unsQ0gRY6B4397L+ZWtN/EHnSVe+8x38dov/ij/7ROvJr6QR/QNzLaErpXsS4wHo+kMJVUkkr4gsjVJaZxVmGoq+9FIwDiLiSF/RVI5rYX/554Isbp6AO4ty7GsoQxiRKjIb3gEeRO/YJGth1idgP6iPiYZ6syvfCEYe72CDvYiFBieDkhRRsPFVk/v3xzoem1s6dfNvg6YYTaBFUNNHNJMVoXd3y+2a3oxo1lXW9+JxP4tp+vQfkELZoQ53T+qZBKIF3Q7i0qug9aBnmxzut75Ur22jNnDYj90fGOmmBLDjMnfwIQxfEMmmULEcur+ava4GgtlAAl0mwb/SYY7JjXFWpc6ssWYrb0v0N8If6fiFFPHxo3bTSBnpxNjd2Oydf3jtBVWX+3LZFOpy3S7saGJU1ZXy4KGOX0ANz7HKRs7sicw/j7CVzw5jvTcv5LlK8p0f/3Xf53/8B/+A+9///s5efIkjz32GN/3fd9HqVTiX/yLfwHAb/zGb/A7v/M7vP/97+fQoUP8/M//PG9605t4/vnncV1dtPju7/5uNjc3+djHPkYQBHzf930fP/RDP8Qf/dEfAdDpdHjjG9/I61//ev7jf/yPnDp1iu///u+nXC7zQz/0Q1/RCc4bHbaMIXNujydbq6xktePJG5ae5YvdYzxQukBOesRKsBsUWLcq9CKHq/0KsxUNk57rzVHID7Upt2fjWCEfvXQz1fyAFafJFxuHOeA2eL45zztb38a/PPxx3pS9yEZk84K/yCi2CJTBfKZDd8Hh6rBK0RpxMrcOaPLVYWeHnaBAxhC0/AyvPnmGC+0ZNjtFrs1WaYdZHn/hEEure6wUWmz2i7RHrjZNjyVRJPli9xBZ16fby+C4PsXsiHY/QyU/wJAxWddnqdhhGFpc3q4R+QZXvvedk4tlabhOOTEEArOsGyP9oYXphCg3Qlj66WtslsjNrTPwbFQk8BsuIhPR7WSwnJDL7SoAUc9iN5tjptRjyzcQhmIYWrotxVBUF9rYZkQUS7ZHBS41qvTXC1BImhuVSIwOLDKuhm7pmVx8x7t43ad+gvPnFhls5MGOWV7bw5QxV67PIDsmRqAzb1xNg73criKyESqQBMrSbSqB1IHLiGFooQyFVY64eGUOMTSQFV9rJAtwZ4Z4W1miBR9DxshsiAolTnXIm+afpxu5zJhdSsaQObvDk701jmTrXBjMspzd5tN7N3G8sM2ulydUkovdGRqDDEoJXnbrJVayLe0ja7f4n9t3sdkvsrVeAV8ifcnxmR0ev1xKIFgwOgZRQRPiiAWUAg1/WzHtfoa4GLJY6PLg8iW+p/YFIgRLxgCsXb44Wubh7hGOZ7f43RdeTfxIGYCH4juITV3HGizFBKUIYygng830oIj+X3qaaCJCgbJ0vT01IFCGGv+dGpHrzEFgDHS7TuGqwumGGMN47CIz84x+zgw/RoQxZl9vp7/sMKoIIltQOR9gdQOUgMUv6fJKbMjxMZbOQ39R1+e8qq7lmgPtFpTZ0+09MtTCFLVnI90ek4g4RJYizAoCqfeFUoxmdBaszaok1kDpgd2CYcUgtnWgHlUnQU6GCXw8bomB/lIa5SaCFjcGoBdltzf+L8BpMg6s489xw2vpS+MsdWo3N2TP6f/pvU3Vp6YXzQ7WiljGroJYEub39w2PE9lYBz6hdOA1PfHi8xwfXzIhy0s9obnhXKePfVSVuA3d3jWGuxMympZwnAq25mTbMtJscM1+F/v2v0/oJEEDlKm/Vqm70Lht6IbzhL9nUvT3LF9R0P3iF7/IW9/6Vr7hG74BgIMHD/LHf/zHPPLII3rHSvG+972Pn/u5n+Otb30rAH/4h3/I/Pw8f/mXf8nb3/52Tp8+zYc//GEeffRR7rnnHgB+93d/l6//+q/nN3/zN1laWuKDH/wgvu/z+7//+9i2zcmTJ3nqqad473vf+xUH3Y/1TrJtzNP2XWbdHgtOm5zpUTN6fHP5CZ7zlmlFWbKGzyCyeWa4St7weHn10riWa8uQO+fXeXRjjeMzOzy7vciw47I5tKiu9bi7cpV2lGG7XkKNDP4v4zVYBz/GVljm+cESry0+z1Wjxpzd4XRzgae3l1gtt6hafWasLpaMyEqPOatLYBp8tjPL0WKduWyXtUKTWEk6oYuV99lpFCnYHlEssY2I+k4RRgYHjuyw2SziBSYH5vfoeg57rTzByOSFb/0/OfRHv4Jq2eSP+fiRwWKtzfXN6vg63fpX74Y4j7C1oYIxlITSppvQE103YHWmxcVL8xz8w1+jODdgfVCi38hgF3z8poub95BSkbEDGp2slhLyJYOBw2DgUK30aXayXLwyB47uEa5mh9TcPs9sLrEFmDJGlHxMO8Lv2QQDE6MYoCJBp5FD2tG4v+9KvYJbGxIl/aUZK+D82UX9BZkbEe85SfO6ZuTW18u4lZGGlCMD5UZYuYAolFhOiHJD/I5Dv+1SqPXptbLaKi4SBJ5JNu/pwBZKttsF1uYbOEbIXKbLdlCkZAzpxi5BbHJX9jLnB3N8rn6UXmBjipgzW3Ocem6Nl916CVPELOYb3FvtcrY3x4PV8/zp1bvZ2SuiWjb2nkGYVQg31vJ0FZ8nrq5ijAQiABno4CIWRxhmxEK5y1y2y86gwFKuzaLb5muLL/CAW8cSkm4c8cnBQf793m08dnWNYGCR1tWdHQNcXetUhhaCEIn6FFKzN9OsANB1eAXGUGJ1tZCAl4mJnUmWMc1qJdYEKqsnEuNyxrBedjvGHMU39HxqtrGGOdUE1oyhu6LP2xwmzGTB2GQ3NuR4G0Fe+71WX9Ab3r3D0DrNSmef7cOS6umIwZxBoanI1PUkzy+b+AlJRgl9rGE26eP09PmZA73vUSkxOU9aTDJ7Md1lQzOvlSKSmoRlurotJc7uH5tkMkmZzv6m67giTALEMCF5RYwFGgDym9G+zBV4aXF+kl5YYyr4pr9uyNLGSltJ5p22Co3vDTB2/kHgtmI6JTnZ91TGGBsTtrXd1aS1faQqprYrNPBsDdMe4MlKka3vWXrcxmh60iem3I2YCIRAogk99SDGwJSm8ngSmWxaBklAdSbXUsnkbZG0f9mM0YH0MzLgRZOTf2j5iuDlBx54gE984hOcPXsWgKeffprPf/7zfN3XfR0Aly5dYmtri9e//vXjz5RKJe677z4eeughAB566CHK5fI44AK8/vWvR0rJww8/PF7nVa96FbY9MZJ805vexJkzZ2g2my95bJ7n0el09v0A7Pp5ZuwethERKsnZ/hxZ6fPh9u2c9RcA+MTuzez4Ba4OqzSDLIPYJlAGg9hm2W3hGiEX2jOUs3o2bcgYaWuosx1lqfsFCsZIZxlScfn6DE8ODtKOMqw5DWIkR5xtqkafV82fxzIilrNtvlA/zIe2bmMQ2/zmxTdRMgc8tHeIWAnWB2UutXRG3A4z7HgFDs3tsVhr0xhmafUyrG9WMOwYDMVeP0s+O8L3deZb3y4RdG0MR38D466FWRvhmCGPvPlXWcm3uPw97xpfv8HA0TZ+c23dv2opZC4AoXCzPr31IkFkYBU8VCQoZUY0RxmEFTNb0jiTZUb061kt9LCXgaEBliJs2cxXOywX2pxY3gKpqM53sCsjdns5tgcFDCOmN3S4f+kyAIGnXZywtVF9uphWhMiGHP7jXyEcWdhWSDC0CHe12xGGAjemmB+inFizdwcmZtFH2DG1Ql/DkLkAQkkwMpGGIvBNAs9EuiGEeqLg5Hx9DFaM3HbIOj7SjMlXBrzlyLOYMkYKxZHsLiu2fi4fyJ7jM/Vj/NvLb+IT527m7KUFbi7v8KWNAxRzIw4e2+aNM8/zqto5MobPJzdv4skrq/zOp9/E7jNzqD0HOZSTwc9UKDdCmgrTjIiWdTHNq8WM1nyEjJFSMZftMuf0+Oblp/jZ5b/lZ+Y+xwNuneeDHG95TsPF/+envpUvPXYcdS2L7JhjkZQgrwiKMV5N1+qkn/aW6ul9Wgsbt59MBYkwr/BLMdKTSE9gtyROXeLsSSrPC6rPCirPCZY+F7H4BY+5J31mn/KoPT8itxmR2/CwupEOsuHkPhtejAhiSAKvZuMqDSN2Fe5erAdYS5tJxIZEmYLBgoUyBIMZye4dgvrLJO3DRgKH60x7sKhJXXYnIrcVkWlERK6BMQqxOhGjit6mOUz8cUPdqoTQ0DNMBv3I0j26MtFLNqdIQ6milDnSn70x+0wnj25ds2vT7G4ssWjq/RmewupDpq4VtSztP/Ii0YiUafyiRUz6eKfXTa/rPmYw+zPDaQbxPl1ngMTkPrv1YhN6p6EnbH5J18lTac0bzd5fEp5Vat91UFMogZIC09MTsTSj1c5NOsPdB0kz+fzfK9OYogJCQ8lpLTfNaCNXTbLlRJubmDFyEduTv7/c5SvKdN/1rnfR6XS4+eabMQyDKIp4z3vew3d/93cDsLW1BcD8/Py+z83Pz4/f29raYm5ubv9BmCbVanXfOocOHXrRNtL3KpXKi47tV3/1V/mFX/iFF71+qVvj6X6FoW9x6/wmAIaIuTas0I8cLnRm8CKTy60qs7k+o8gka/rMWV2OuHUiBIvlFpuDlyGF4miuztMb2jQgNmL+bvMkC7kO83aHQq3P3QvXeaE5x8ONg/ybg/+belSgJvvMGh3qUZEIyQ8d/Tz/+cIruHN2g9sK1/l4/RauXZrl3Mw8F3dqHJ3fZaefp5wZMW932PBK9AKHS/UqQoBpRhyoNbkmyxye2eNqq4xlRDQ2SjiVEZvNIrPzbVrdDHFkcOiDvwKmyWylyyde814A/uT+3xtfo8N//CtIqbhlfovLrSrlWo+e6xIONb4inAB3vk8QS5ZrbS73Zrm+WaVU6UPHwp8xuO2Wq7ywOYdZCAh7FlZtSBxLDCOGHJysbmKJmK1RAcsNaXezfPstT/Dnp+/CC0wC30TImAudGeZmOtSbBaLAxMhoico4aeNwnAC/bxPHisvf8y6O/ukvIwwFxYB6N4+wY02EauQRXhK8YoECrEzAPbNXWV+vwq6DMBTKFizW2mzslWDXIc6HoDQsTh6MbMiJ5S2ev76Ia4YUciNMI2bXyxNEBgVrxOVhjWqhzx3ZK/z+zqu4sDWrLRpHBrNrTap2n7ceOsUL3XlK1og/uX4vVy7NYnQNjKFAZHQGFjsaAo0cRRRo3eCbbtrg/MYslh1Szg+QRcWwNKDTzcKmQ22pyVuWn+W4u8kVf4YvNo/wX868glvnN3ni6irWqZzOLguQCTUkOVhQlM4JYtPAq4j9rR7J4GYO9WvZqxaZuqJzJPFiNXVvqzJ1zdbZkxTP69pdf0HqjDAJVtZA4bQjrG6I9HQPRuyYmi0sBbkND5TS/ZqmoL9o4TYjrLbOOtMsV0Q6fQrzFsYIrEiR2/TxqhZKCIZzFpl6QH/BorciGNZs7VHb09cwKDAm9QznNIlJmRBlpB6oE/Pz/nJGSz56OisMsmLcR+vnwW5NsrRxNikY11a9ooE5gmAqo00zqsyOwCsntWF3P6wcFBKJwqngk2ZjXkVn2cWLMX5BM72jfyBVim0xhkqVMfGijWyhiUFpZicgTlWl0nOYhnNjxjrHNy5pUBYKiLQClNjSbUTps2T4+nr5xQmsPa79ThPFBPtg4XFPr9CQPjDJckEH5FS8QkxBwTe2Q40hbkXsTI4rPZYb14OEcCUS0Y/knhrDicdubCavj3kCLw01/2PLVxR0/+zP/owPfvCD/NEf/dEY8v3xH/9xlpaWeMc73vGVbOr/7cvP/MzP8BM/8RPj/zudDqurq+wNs+RKIbYZcjRXpxO6Y2uzTqDJSzOZHjOZHnujHK4RsjkocXNum3mrRSPM8x/OvooDlSbzbpf1UZlvOnqKa4MKz2wvUXRG+JGBJSIGfZdlt0VuxudMZ46/bN3NEXeHsjPgi4NjANyVucxIWXzv4Yf5SP0EdxUj1nJNri6U+dzGYT2oy5iFfJf6IMcnto7jmCGzbo9blzY5uztHFEmuNcv4nkWsBN3NAuWlDtWlNs3LFZSlaCkIPRM11FkemZBWX2sDH/zAr3L5n/4MB//9b3L5n/8UcctGlXyeub5MqTDAkArLDgk9g+pcB8uI2Wvl2d6cgWIAgWRpZZeyO6Q/a7OQ77LZLRJHBkIorKKH4+hBVgpFKTPiiZ1VdjdLIBVWNsA0I7KGTzbrcVcyUdm6VqVddFkptPBDgw5ZwpHJsGslGa++t8KMUSP9bYtjiWmHWFbE0doup/pLKKEZx0bV161MkSDq2NgzA/723AnEYPxNhUjQ6Ge1p20pQJq6VuS4AcO2S7Y8ZKtX4M61a1q4P6+40qmMZTH7gUOsJBQgUCYvtObI5kb0mkV+8rV/y+eax3iuvUgQG1zamkFtOxgjga30gBFl9AAvfVCx/iKrYkyYBLjLu1VUJBntZqgHBkcX6lTcId95+DHe9IrnOGrqEeCnNl/Fhx+5AznSA8wj6/kk84SgqINt91DMaFaPOL0VA3MIM6f0feotGbrO6mm/2fZNYPQMipdjHTh7BjJUjKqS3FbEYMYACbnNkMgRdFeNscF5UICgKBghcJ+KxkETKZBBhFd0ktquIrYlxiDEGITs3Wax+onJiDhYcsls+6AEjZNZzIEicsG3JflrOphIPwJhIWJF4ZqH3bV0Zps8K3Zb4LR0hmz4Me0DJl5VB836nSZOAypnQsKsQW/JwG3GZHdjOsn5RBkxYSGrSZY5Xqayf2XoGrI50v+7DYVX0p+3O1r8I9NQ7N4mxhmkJlWlwUW7IKVpWpqhmX2dqQYFQZiQo6eDvognwXHa4EALhejXUxRhHMyLEsNXmvU7HXDR2WT62RfVnKeyYpUwmoXS7OHsZqKolUvMAgZ6EpDKYI4JSEnQjl9i8hCbYAQ64N5Y0yaBocdwt5FOJtQ+yHeaIIbQx5QiFUIlwTPpw02JfEoylrKMpxjTRjCVJYsJfL/PSGJq31/O8hUF3Z/+6Z/mXe96F29/+9sBuO2227hy5Qq/+qu/yjve8Q4WFjRcu729zeLi4vhz29vb3HnnnQAsLCyws7Ozb7thGNJoNMafX1hYYHt7e9866f/pOjcujuPgOM6LXl8ttrg0WMH3TKor2qD7i43DBJHBwcIew6BKe+RyuLzHbKbHvNNhxuklUosZLozmeMvBZ6mafT7fOELFHvI3F09SzI6IY8HZbW3mvdkvEkeCP33+buJIEA9NNlpFVistbisv8ujuAbqezdJNLQJlIEXMtVaZv45vZxDYWj0JGA1tdoyYjKVn+3u9LJ5nsZ3N45gRt85vcq4xQ9H1WN8rcfriEsXFLo4VEsUSc1ZnmJYVYZoxw0A/GVIqvEsFDvz+ryMGFnf+zc+hrBIH//1votwYQ2pJylacw834+J62/GteqjB/bJd4x9XwkGdgFAMOFhtIERM0VznVWsMoBER9E+HomnCt1CdrBVgy4swLy0hfIqo+TiZgrdrkUr3Kjl/gSHWX93/N73P/R9+JzIZsb5RpFrIcmdsliAw8I8bv2lx5x7s48Pu/ju+bmFZEGAsO/N6/BcPELIWMhja7wxy1ao898ghDUcwPafaLiKFElUOGHVfXF8s+7DooWxM2Bht58isdzKQXd+RZGEbM6soeVXdAjGAUWXztzFkeahxmtdAiZ/qsZRqc6c2TM3wO2HWeGa7xwNwlbste429nb+dj9RN0A4fLzy5hdQTSZtwqoxSadJT0CsaWhuOU1NB33NfFu5Vai0vrMxw/vs491at8W+kxlsyQa6HFB5svpxVkeGJnlcEXZrAziqCQQn86e+ocjTFGAlVJIbMJGWg4r9h8hUH1lNI60iqRFnSgdE6xd4eieVyy8KUIpx0RZiTVF0b4RYtMIybICcKspHNAjgemfdmagOZNFrNPh6S9niJW2E2f2DboLdtkdsN9BB5jGIEQ9FYdBvOS3mKG7E6sjw9NUrLbChHGZDeHKEOS2/Q0xGyl/buQ2dHiFU4n2gdbly+E7OY0XihDtOBGpGgfMrTaVFabrQd5NKwoJ+cifUFsTEzhVQKfppq9fknfS+klmsNJicBIgk2qUmV3hJYmvGHRzGHBdLRRhg7YytDM5zT4ZerqRdlVGlBvlFycvi9KpnZ+Ggqf/qxeUf/SEoe6uedFZKobgnT6vMlI4XR0ljuqaLKT04rxynJMUks1m5WaOs3poD51CWJDjOHsFFqethHUkwMmk4Ppy8dkuyLS2Wtasx3fz6TNe6ykNSWIgWSs851GyZSnMJnU7EeHvtzlKwq6g8EAKfdv3TAM4lifyaFDh1hYWOATn/jEOMh2Oh0efvhhfuRHfgSA+++/n1arxeOPP87dd98NwCc/+UniOOa+++4br/OzP/uzBEGAZenB52Mf+xjHjx9/SWj5H1oO5fZQmSx7wyyXRzXyhsftpXW2vSKrbpP8rHZE+fz2YQ4VtYLUstNkNygwUhZvKD5LjKQVZXGNkFN7i3gjm51rBeJshJHTd8oPDdTIIMRAZnVn9bDncF2Uub92ia9bfI5T3WX+y9UHua2yQT906HVdzjSzWJkAISAMbAwjZuBb1PcKxF2LK//spzn6Z79Ed6uAmu/x8NlDVGo9ep5DLuPTauta4/ZOidfdfIbzzgyXr84yigRx10LEgshUqFAgXIW1q03AW02t9KRyEWJoYJQiwsgm9gxCyyDqm1gNE+d4G6UEYk7XErNOwGho88Vzh3nDLaeTpyimVOzTbFQQ2RDTDjhUbHCuOcvutTLSl6iKT6k0IIy1ab1tR3xh8xAnZ3RJYXOnjPIMZEZfz6zp43kWUTRho0onwh9aONmAKIwxihGhZyCTzHxrr8Sda9dotnOEQ5PijEczFtx97zmaXpbL2zXiSOBkAoZZUxOFQoHwBXEsCYFqdghZrand6GcxZEzB9tjp53ncOsBTl1fJF4d0m1m+885HWc00Oeju0oqyNIMsn908yqc5xm69gGxbyJHADBgPFlFWadF1mQRaAcoCoyeTgQvCvgVSITMh37DwLKM5i3aU4a8v38rV+QrP7S7QulAds4arzwiKo5jhjJz4h0Z6+l17RgeerfuNqd5aRX9JZxJ2S9Bdm/TcqoQwAnrQKZ1XWN2AMGdiDmIix6C7bBC5WkovJZvcqByUbi/IQWRJ5LS2LyCCmFFNgjAxRxF+0cJuCfZudcnWY/qLOpALE9qHJdktRe+AIMgpFh7x6K1lcFoh5igisiRI7ZaDgOKVSAeMOM2AdObmlQ2GMxKnOZFeBIgyBk5TERQmE49Up1cfrBbKcBtM3HUSBnmUmcIslSC3o+gvg3FNoxdGMgkwPE0SGlYlVjeBvKeHUoFuq7phUXK/PGT6O1uPx++PxSHi/Z/Tr+2HiFN1KR1odO9xCtGKWBvFm6NJQA8yWtzixrrvZEdqf/Yp9blqmcrEpzhUjGoCp8FEPUtONpUGLqEYk8dSgpQIJwId6bqp0cW0eMa+TDeFnqW+93Z3/zrCnPRhjycQ6bZSklXqUTy9TG039dc1h1oS8ytpG/qKiFRvectbeM973sOHPvQhLl++zF/8xV/w3ve+l2/5lm/RxyQEP/7jP84v//Iv81d/9VecOnWK7/me72FpaYlv/uZvBuCWW27hzW9+Mz/4gz/II488whe+8AV+7Md+jLe//e0sLS0B8F3f9V3Yts0P/MAP8Nxzz/Gnf/qn/PZv//Y++PjLXVadJg9UL/KW5WfJGBOPLVNGODLgQm+W27LXmM/2OJbfYc7u4Aq93qq1xyODI4yUxXvPv55TO4u0OlktNZiLyNYGxIk/6l1z64hAIjzJbLWr2yUiyXKpzanOEpGSZIyAUWjyiSs3sTkssjjbxnAibl/eINjJgIIwMHSAVQKR1RjSXavXmV1t0m9nOH5gi1Yrx8CziJTA6Bm0ellyxRFP7y4RxRLDjYhHuveUSD/NYmigDEUwExAdGmLaETIXIC3dcnL2296NHEnMPYvZUo/8bJ+gFtLfKOise9PVPr6uj4oEYs/Gj03Mkg+h5MlveA8qF3Hpu/41q7NNHr1ygO7AATsmLgXcvLZFr+/Sa2RpbpTwPZN2J8cH7vuv3Py/fgFpKJCKXH5EMDK52qlo1avwhkdUCUZNlziUhCMTw46xzAjbDrGdgGfWlwhHmoQlhFaqWu+VMESMm/EREpYrbXKzA2THxCwEzN1SZ6XcYq3cojnI4EUGt9U2KWRGjEKTxlAX6R5+4TCVSo+j1V1OHtpg2WlyZ+4qu0GBv9m9g7949k4a56u0nq1h7NraqzVpW4hsCHOa9KZWh/rLm40gFshBMgJJCDOKhQN7fPu9j/LHD/4eEYK/3TjJn3/uPoany3zhoRP0n5ihcEHiNLWIvtuMdXZXj7FbUssYRoLqczrgplCkjJJMLJFfHJt3p0sy8KF0W4sxEOQ2fWLHwPC0eP1g1iRKamTjgJt8drwZNck4ABonHPyyiZKCzoEEjRKC2ScGFK55NI67SD9m7omAzlHFzl1S90jaOruz+jrwiEAziHtLNqOqoH3YorviMJzTE/MwK+nPG4knrWDiWKODbEpOm328x8xTA2rPe7gtxahiYA0V2Z2YzG5MbiOmeFnrPU/XDmNDEBQUYV5LVYa5ic5zZkugpGIwr4N5ZCVBItR+rO2jkmFF4pXFBLocinE/8o3kn/GFRLc7eeX976eEqZdiKu/fxov/Tt2axk5CaS01TuDm1MSeJIu8YXKQfkYHxskOVDLBAR1cw6wuMwQFAbG+DrGl701s6Fas6d7cG7Pdyf7FhJ1sTI47/VFSf7+UOXW+IjGWn+YrkN5HJlnw9D5TUpbg71cDS9eVevJQuBaRrcdkGvE//IGp5SvKdH/3d3+Xn//5n+dHf/RH2dnZYWlpiR/+4R/m3e9+93idf/Wv/hX9fp8f+qEfotVq8eCDD/LhD3943KML8MEPfpAf+7Ef43Wvex1SSt72trfxO7/zO+P3S6USH/3oR/nn//yfc/fddzMzM8O73/3ur7hdCOAPLtyHmXXoNLPcf9NFQiXZ6JU4Xt5hxy9yML/HJW+Ol5WvUTIHPN1d5dtmHuUzrZv4bP0olzZmqFV75B2PguOxrQoIoegNTIY9BxVI7p29yjCytLC8UJgyJj/XJ4oku4MsO708vcAha/pU3CGvWzzLBx+/DzMTEgeSS60qylAYhiLedlAZ7fwjhgZ3/+3P0mgdQO05KDfizPklzIZJEDvk7tilN+OTdT0a62X6gaB2qIk0Ii7+wL/m4O/+lv6Cdy1kzSMamhBILr79ZznwX3+D+eUme8/OTiy2fP3law9dRkObTGWIEIpRaHLxX/4kh973W9SLDki4/OM/yeE/eQ+lwoDGMMVf9K9Pvfa3OPB7/xZ3vscrbz3Nw5trnNucIxyZSDvCyAbYTpjyJBg2tV+slQ0IQ0NPCIQin/EY9W3wpYaSZbKfSGDkYlQMUsZ02xlyxRFSKqJAi1WIQHD98SXIx7T6GXYaRYSMifom85kuXzf/HH9s38Px6g4506MdZNjolegPHIYji3o2z90z19n1c3R8l+vtEiePrPOm2efZDfNIFA+1jvDk5jLDzTxGXyIlxG48VsWJXU06CnMxKhdh5XwcJ6R/tYjlg+qYGmq2FFEh5r7bzvOts4/zzGCNPz/zMv5scDeiY2l5uw1J/nrM3u2C4kVFdjdkMGPiFwWto5LyhQglNKwqfV3HTAeXYc3Q2XVKUol1dr2vZWJ6AEqCTP46dFdtrKHC6sUMZ7Q7T5S0Bu0b0F8CHkyXMAutIybzjwWULoxAKZo3Z5ChJt84DYXVCUBA5bks3QOa6JTKJJrDCSFHhoLeyiSz8ksigRtN3GaEd9DAk4LClTgR1EhOKVa4jRBzKJF+hPRC1MjA7Ope9O7h3DirExHEaIGMUW0S2LTLT1p3nZy/kjrI5K9Db0WLpxiewkxak1SCagQFMRZbcFpirHAU5NH2ckaiTx2JfVCziNPa6kTN6cb2nH9QROPvyVLT+xTZqYa1XjF0tFuT4WnLvGlIdppENc4emexXph53SRYYFJJ/De0MNQnm7HMWSi+nSp7Hcc/s1KRu3CKWLEFBJNKUk8miNqDX78Xm5PV0nyp5LXQZI0syYN8kMkrnhYnO9RgCn0JxRKDZ7an2txn8fyjoFgoF3ve+9/G+973v711HCMEv/uIv8ou/+It/7zrVanUshPH3Lbfffjuf+9znvpLDe8ml33UxYgdpxZxpzNJs5lmc08pAUigsImasLqf7S/zd+gmiWPJC8xvYulJj6eAuALs7RXaBO45c4+qoSibrIUaGhlIyEVf7FQahzex8m97QwQtN8q7HfFa30jy/scBH3/JLfOPn/p9c3qvy4a/9bf78zC8RbGcwZ0c09wqYZZ9iYUCjbeNUhwS+iVXwtLh/y+Zr73uOzzx2Aqst8ecDkLBWbCKFYuhb5Od79DcKeKHB6kwLSJiShQgxksyUe2x3qpQXdStVfqZPs5vFGEGcR7OA1xQqlqyWW9StPKNAm703HpuDN0FciBCmQpiTb+GT3/AeDvzBr3Pg/b/G0YM7HPmT93Dh7T+LVfIIAoNHNtdQSpDJeqiMT3+jQJCJsJ0Q24x41cd/GiNbIRoaGKZufwn6FnY1Ioglqm8ilEAJhcyH2iVozyaObciFhE2bzHKPnOMz8C1i3wBDIXIB5kLILXN13jBzmvd+8Y2cPHad6oE+i26Hq14VQ8b0AodBaHF6e4Ejs7t0cw5z+R63Fje4PXuNK/4M616ZO8vX+bU7/iff/tAPc64xQ2O7iLVj6WdAoGUMQ0FcDBBDPTGJMxHKlMiKTzQ0yGV8pIzpOTG+DVgxVt7nrTed4nXF5/nz3Xt556e+HSKhW3AABLg7kvK5CGMUozDxS4L8eky2HtI6bjKaUTRMY2wjV7oQYw1i9k6axLaB9MFp6EGvtyrGGW4q6p6ylVMRAJL/R1WdibgNGFUMwqxuj0mXG6HkdLkx01UC8tdjgpyJ1QkQsWKwqLN0ZeoWHkQWu6vIbYYM5i1iW9edpa+zXOmDsEF4+wOLdpSB/qJkWNPGAmFWM4/bC5La6ZC0wGf2A+y9QDOWY4EI43GPr9MMCV1rPMDGpqC3lhy/Ce6uwOrpjNkc6uDpVdS4bBBbIqlhSryKYrAkcM7oIFq4qmgd18zpTF1ohnEMoxmV9P0m2WTK75Pa0cbwYDib1C2tyUWVgdgPhab3I50IjWFXMbHlm5okTN8nFFjDeF+dVoYKpcR4MjHpz91/38f134TVK6beU8l1NXtJLVpoxGIf2SlGX/848a+N95Onxv23U6WA6XMwU6/eFI0wGdd9U9nG2EwmTSn8rCaZfuSCGE7tR6YIAElNmTEUfiPzWUkIM0lmL3jRtf2Hlq967eWVuSbrOysgYZSxsJyQzQuzbDhVyrM9LDNit5bn00/cgvSk7os0tED7xkYVAqF1Zw3FC9u61enW2S1OKYE3shBScaExw3KpjWVoC7z7Fy7xmetHqYscnaGrjcMBLzQZdvU0yrZDVF8SGi7KiinWunR7GUQ2ZLXWYreXo7WXpycVFAM+e/4oRl/X7IxMhKo7PH72IEYmpFQYcN/CVf6udZLuXo7DlQYH/vNvQE6Qn+3T286zc74GhZD+0Obgv/9NCquKcD2LOughDcX57/g5DvynfwtWzLlHDpC/uclwaHPx7T/L8V/4dxz67d9C1CLUwEQWIw79zm8RZ/TjI6Rifr7FMLBwXJ1ahJ6JGhncf+dpnttbYBRonWLlRphuiCFj2s0cI9/CdgKGvmTUdcgUR0gnojV0qWaHZOa0h+tMoU+jn2V0sUDs6ntk2BFRXjAa2IwGNifXNnlhaCOk4nWHz3JLdpNGmKMdZfi6O0/RC20sERPGknaQod3PkLEC7qiu0yxnWc62+LGVT/Kx9kluymyRlR6WiIiV5GxP3/uHnz6KCCRyqldPJabv4YKPGppEbozKRpjZEK5mOH7rFs+fWuPO+XXuL13gP/EgSgluru1wLL/DR9Zv4X88fg+ya2B5gjCfqO34AqchcJqK5nEDq2dgeOBV0cE88VUlgqCg4VCtlqSVfWSoBdyz2wrpKyJHMD2q7ZvBTxFOdPajtyPDJGuY7q/8RwaYl2JyZrd9du5ysbsmdkdRPhfTvFlqmE4Jeqt6w9KzxoOcErp22T4sMdSLt5lq8Y4zk0RNSJnQX0m8URPxCmMYjduWtCUVGmkRgsg1CbMGVj8e1/n8giC3LhjNaEKaV9XbCTP6mtgtBbFgNKfGAbC/KLHbiXNRRtE6IjFHMKqkkRBGtRdne9Na0+m9UAL8gn59PNFJ1sluTAQkXgTvKyaQr5gKylNZ6r4JkaGhcCOYHFdki7Elot2Lx5lnSoZLjzF0dM/sdGtS+jwJpRAB2D3GLTupatU00UkBjP2LBUyZNdzAKZswvhMkRsQ6qMYJrKyMBK42JtnrGIKezvb3ISD6PaetGMzptsQx5D25bZMJRzLJSrP0UUVi9RXRV1Cp/Ypquv/fuISx5O4Tl6guaEJQ1vVRZgyxwLUD6tfLfPHKIayKR5zRrwuVzIR7Bvm5PqoQYtZGzJV6SCPmsWurjIY25eKAfHZE3vU4c32ejWs1gvUcf/3IyxgMHKJY0qvnWFrd48B/+3WWcm1mZrsc/dNfZrXconTbHsITCF/S2C5yaG6PlYUmJXvIyLeQVkQxO6JUGsCOo3sIB4IjC3ViJ/k2rWdona/S8LMIQyG7JrNujwOH6ghP0tvOY/SkJtEYivh6FrMvOVBpEhdDpKGIm/pbLUcS2TUJy6EWmkjhppyifLSBNLRV3MW3/yxmTyA8yQMffSdrS3tEscQxw7GQxdJCE6vkca41i21E1HIDjs7vcmB1l1cfOcddC9f1gBJKRj3dM0soGDYyZPMew4GDZWjt6ZyrIcCbZ7eZPVlHZSNEpI8DBdJQ5AojXCPgxNIWxxd2uCW7yZnBAuf6c7zQW2AYWewMC3RDh6I5omr1ed3Bs/Q8h3aQYRSaLDltIgSrboPtoMTnusf5qRMf4f919we42Kzxmk/+JEbfAKEm7R3JABCVIgrlgVbaUgLpRnA9g7IUz72wCoWQ0415HmofIWcHNDeLPP03t/C/PvC17D0zS+UJk5mnBOUzYHU0PD73qHbCSbPC4azOgoxUjUmmjOA0OCpGVS2T11uRY7nI4YzAqwpGs1p2cZqwkjb8R+4k0CqhGaipOMKLCD/Tg9g/sEyvU7/TxS9BbxX2btWQeGwmpJ70t4DY0e47ytQM4s6aRAmdVbzU9qf3EdnJwJ6wwWNT0VswEWFi/2ZKHXBTCDQhhRqjULN1w8lgmtmNyW1FFC8pDceLJHNyFMNZxXBOmxekxzCa1SIiaduUkvp+VM6ESUvYpCc2nRjo1hMxtj3UJ6V/BUWlSVrqBmMJAW47dUgSk57VqcA1mJX7aqXj2ruY+p383T5oTIJSsn5qd5hmucoQBFn9PKXwbZoFx8aEHDV+Tm5AUdL1/ZI+VhGpSZAX+9dJHY7SSd70/R2To5KfICc0oc8SY+g5zWZlyNg2Ml32Xcd0kulohEcGJB7Pk8nceN2p/etJkhbMyG0q+ouCzkGp68df5vJVH3QX8x3uLF1HKcE9y1f52pXzZGpDsGLyts/J49fx+zaZjE9uro/hCcqrLZylPs7iAFPGFKp9FqodGv0s/sCiXNC1zjtmNrDNiI3rVWLPwMr7xKUQnBjTitjeLCOciGYvi+gbfOHSYXa3ithOyIe/9reZz3fJH27rTMlQLOXaZMyAru8yW+zxiqMX+KaVU5yc3SLORQTzPmE+5speBbOra5fxvEfxcIvtQQGaNsTwicduZRBYqHyI2dGs1VTxxm5Kwoxi1unhrNtc/M5/jTHQj4GyFcZQgKWYyfcR13Qd3uoKGpsl7NMZDW0li3Jjyu6QejdHGEmu7lQZDm1u+h+/yFajSOiZtIe673Y13+Rqs4IhYz514RiXu1UsNyST8bn8Pe8im/cQriYW9eo5wpHJ+SvzHMw3GHgW17crPLu5yInKtrbOy+hCW7Y85L6DlzlcaRArQdb0KdsDCsaQVpAhVJJTO4t84ZO3st0t8OiZQ/zBl17B43tr9CObVidLwRzxHWuP81x3kWeHq3x27xj/7fTL+Z+fu298rs3tIjW3T1QKJ1/EWBBWQpSlOHxom24nw6tvOcuBE5sszLT1l7oaUF7sYLoBfmjwmcdOcP3sHO6mRVDUAebgh0ZUX/DI7IXkr/vMPhmT2xB0kgExVcDRkoBJ1mALhjPG/roegNBawmNSFJp8ZPbB6jKZ6SeQYwrPTgu6yyTjVdMDabLt6cE5XX/i3MKLB6tk/SCXBkL9ctqbOj2IqnRATzx5RQx+OQ3MX973XW87DZKC7mEYVQ2kF2G0h4hRiLy2hWz1IY7HwcrdCwiygiCTZkua6COSAJ1maKk9YFBUmIPJPlMYczivJTOtrv7O1e80tYdrYvhgNwVm4s2a1kbtVvL9ZJLZjWu6L7HEaUaX/MSp7nBCesokusTTgXDM6N0XiAVOW00+mwRY7QOcuOyIieoTQme3qfXgRKFq6nlQ6TEyVoyy+lpFLHUc0q+LcZaaKp7F5lSWSfJcGZP3IkfXYiMXIlfse+7SY9qH3MST4xk/39PZeDLBik0YzOtjzW1MMv6XWtKau/TTmrcO2r2V/3/QHS8Hsg1W7Abfc+Rhbs5tc747y1yxhzRjVnItjhbqzMx1iJXgYLWBWh7hBSa2FZJxfLp9l7sXruNHeuolBiYz2T5KCR7bWtV10UzEle9/J/FGBiEV9x6/xKjrUKj1UX2TYnakB56eTa46ZHBNswueO7+sYemSx73HLtMNHEIlWcm1eOPiab6x9jRfX3iGn1n6Ow4f2YaRgcpG+NtZLvzUT+DUhph2SGsvz7WnljAH2ozZqRs0WnmKtT7hrI8y9IzUuu5oK7V8yKe/eOu40f/CT2lW+OUf+SmEgspMl71+lthWHPrt32I0HyEHBi/84r9EBILDf/IeglWPbG3A5UaVwXaO5l4eyw6J+hZe18FxAgw7wvdNrnXLfO7pm+m3MtxS2kZcz3D58hyuE+AHejT1fUPLaDoRIpBavjISPFFf0Spcdog/sHlmd4lDK3WkHXHog7/C8dkdWn6GpWybij1k0W2TMQKeGyzz0MVDPHF1lf75EsF8QPdcGdEzEZmIQ8U9gtjgHbd+CUtEfKl1mNP1ef7j517DUxfXCNZzGJ7gyG9oBS8r7/P4pTWItBVbmIt1HbdrQASWjBBSsefl6HkO9SfnCSp6EhHGknA3Q+dcBWOgUQe7BYVLUD4foUyBXzLxSgZB0WRUkhjDqSw6oxjVlHbuSQam1lGD3rLE8CaQ2jiLMScDV+oUIyOwukkASWb5wJj5Oa7LKSaEq6mMaB/LNFnEVEZjJL2N+4LyVPaWblsoxi0qCw9HlM9M7YPJ+7kNRelijN3Zb3f39y3jwd7ScLDVE8w+FVE6B52Dksg1ibM2stsHpRChvgDSj7SqUscntxVogRBfQ7qhq5m2mbogsy0IslptKz2nVGgkHcSdts6uZaAJbVbiYpnd1iSr3HXt42t3kuuv9HNg9RROU9d7ZZD8JJKVL6XrG6e1yxRSNdJsl3HWO86CYSog3/AjEtGOVMEqRU4Ukx7eRKSCJNO3BmpKm1n/1sEzkWVMEZikpitDPemToSYdjYNrEky9SmJOMDUZmGb8x9YkMMd2ktmaE0Z1es77lKGm6q/TteAUlk73N67xJs+c4evzSz87vnZi8oxpEpXWKY9sQW5TR/PpjPofW77qg27F7LNq7WGJiE/sHGejU2SrVSCb97jcrfKZ60dpdbKYMqbnO9iOBvvvmNcOQKXCgEudGkEkWSm3mD+8y53l6+RzI9qtLIWsN4ZUjZUBKpA8dX0ZYcacmN3Gro2o7xUwah5Egv5WDpWNOPAHvw5S96PevLRNyRpxc2GbW0rbBEryqZ2bWDMbOCIiQvCvD30IkdU6ZZWDTUC3+aAEV773nVz8yZ/g/Dt/AhFrM3Cx7urnJnlqtAiDICzqFqHMjsQrKw6/97f2Xa/YgKe+8ZfpXS9y6cd/UtedQkFc1E+VshTZrMfLj14iCAwGXYfKSpvqTJeZRNfYKXgMu1pG0m87WglLKDLFEZ9dP0yUibG3TPzAxPdMDrz/14hCA+lEmNv2ZPSNBNubZfKuRxwZSDtid1trQC/MtLnjwHV2h3nyloedjP6f3jjK5W6N59qLunVLKOTykP+7vTcPl+Qq7/s/59TWe/fd7507+2hFC5IQCLHYTpCRWWIwjhcs84PYvzjYYAMiAgzGkNhCMiAcw49gG8fgX4zRY2IMNsY4ipAECkIr2nfNaGY0M3e/vXfXevLHqaqu7rkSch6Q5KHf57lP3+4+XXXOqap3/b7vW5rsUjipwXnnPcovnnUb+wqreJHBdSuncHd9kVtvPQXv/ipW00D1DG3RRPDYe7RC4tcdxLLDwf9wGVja0o4KEVExBAEPPbhILu9x7z27WDtc0y0SDR336x6o6HrKvqBwRDPT/FpE6Ai8kpY2Ucyw+jVJb1bgToi4WEPcHi9kSGtPuqiI1I2mFS4RDFzH0gNnU5FbV+TXIsx+LISTvqoiYyEwKAYwVFxBDDOuLIITNODKjAEyMslHjmkU/GJ2BETac1J7SIOPyoc9cmtxyz3070uHoHzYp7DkU3pCx1mT/q1RBsiVzDPM6z0yPL1fCD2v3pTE7CnmbvfpT1t0dxQJZ2tEuxcIJ8rxHEWcr0rqBfCLMi2UH+R104LcZoSzCV5VA5mylmnyO6+srVijL2jv0sVHcmtxPea4aEW/JrWwFloY2c3Bd8VjIc66LnyRW9X7mVvToYzseVo7ZWoxphZsLEhHrWCdQyuG3MvD3w/vZQIgGrhitYcsi/AdsiYz80rvmez1H3E7J0JaCX39iV9DJ/6zY8s6417Wno5BKGUU0HUcinuEknMmxWfSvroGqQRM1tVelORXBgfJKp9Zym1Ggx6+clCT++nQCS90b6vv4tNH/jXXrumG65vrJbyuTXu5xHqnwFmzR5modjRit6ULRniuxaHWJG5shbVcm5/Y9ij/8yf+CyvrFe6sb6dW6KE6JusbJWoV7WeqFPts27FO4JrMzTTwQl24QTVtgpaFyIUIJTCLPqfvOcqOxXXavsNCvsH23Cb3N+f5V9UH+LfTt7HaLvLbj72Bo2GZ/f40M0YHO+8j+pJu32H3Zz4OwGR1uC5d8fRNrJYgzEfMlDqcvucokRPFqE7FxGJDu6Ut7SpTEvZe9Yn09youCGA1BreG2RbQl+z5wkc474JHtJV/eAd+Xbufe65No1Ugb/rIQoBbz+kyjQKwIk6dWUHkQtxeXOwi1mS9vkml3GN+vq5TiBo2YVGDkBzHR5Z8kIqVVV3tq1BwmZlv0PMtcmbASrfMZjePRNHyczT8HLYZMpXr8NBdO9ld3eB5C8ucuXiUUs7l7afewHnVwzSDPN9ePYk7Du5kpVViJtfWzLYS4ddCrIZBWIzSVKo9f3QV5YUW4VRcE9iV4Evy011efvZDvPbCOxCRoLtSRFmRdo32DETXQPQlRhzPKywL+jM6pae5S+LVdJxr8xSHzVMM2ouC7rwuOpFYFmZXo1jNns6bHerrSeIeFmn8KkFqJnVhk6pMdjMkjGNlkTkQ2lkLKbRjt7IcWFhZS2KoBGIs1Im0QBSRtgJTCzrDGLPWr+HqVAt3QsSlFgVT9/tM362VF6Mv6E8Jls+38cuGtjodPedsXiwMmLn0hc6bzenTFI4IuvOK5j7YPF2ycp7F5skSt2LQ3lXQgiTOM9XWuQApCPMSq6cGLlSFrqDV0oJThor8il5IUFTHKSD9mbg/b1z5y/AE3W0aYJUgxiMr2RSwm6RFNjQgTKQN5EFbUxC3owsEIorPXRicW09gxCMhyQhjhkFwmWuTCtaMyzVF7pqD+yQFq8VWsD72wFpOgVPRoGlF6vrOVPVKLMrIHqROkRWYyVqSkpaJwDMGSsNWKOKhlLeMAjAUBomFY1KZSgZ6XDq3SM9FW9TH79Xxcxw8g0ZSgexp0gmPXj7UmKC5NIWQim1zdS48ZT+HWhMcW6sCUDI9TplY5UBzkpzts7lZQhqKo+tVyqUeOSugbLvU4yrmkS9puDka3XxqyWw29Xe3v/pyAHb/9yuYyPVY6ZaxrACv4iFWHZQTYU72KRU16AcbHnh0kb3nrHNx+R7aocN32/t4YWk/c+U2B1cneHv9lzh5dpXf2fn3nLf4BDcfPRUAc6rHrj//Aw7+yhXpWnd/6iqMmRzhXhfVNzhwZJqzdx8hgb2rhT6ba2VtqRkQlCJyqxJlwim//wm8iQgZ36mRASdf/glEUT/kIhIUy30eb0zi9i1yeY8gbyKkwu3YqEDQCyxdOEYBUpG00rrniUWUL3GqLmEotXu2oBBrDtW5TbYVGxwAlto2hh0RBYJuI09lskMp5zKT73CwPgFA17WpFno4RkA/MJmvtJBCUbb65A2fCbtLy8/x+pffQi+yeen0Izzcn+e08jK3Nvdw5+oia0eq+mmyIjqbZfY7HtV9m9QP1jBaBpEBxoRLYFrs/tRVmK7A902MNf00Kkf7SidKXSqmyz88eKaOQ3oZ7mJoSx20O0qgU0xkIPDzEd6ktpgiS6ODlSAtuJ7kbyZk9MUQUxm1VhIBm7iGQ0c3aQ9i8ErpkEFxOcCdEgOtPeMuFpAKmcKyorgUsnGamTJiEWoL2S8O5mS1BwUaVOzuS4BXSVH4URCM/kdX8HEntDIRFAw6cxJ3QsdP/WKciRrBynkmSupiDZGtQYQqZoqGm5l/AEYoUkWg+nhAd8FACS2w+pNakPkFLQzbu4tY7QizEzdisAT96VzsuiRNs0kZuohzWT2wfQVC4NYEuTXozat0nNkWeBUNsAHtquzMacvW2dTHs7oKvyIITb2fRpyqlTRV8Ev6njB7sVIjtKtXmULvf7zm9qKkeCxKhUeK9h1xxWcVHkXm/4xlP5QSw+BYnUWJs64wkvhucsxsw4HM/zqUMQDFJV6U0BL45bj+cXJuU6eumbEHI+m5PEAJj/TyfRKZli0OcpyATNziaiAkU7BcYjXHCGirF1u/AtzaVpJ2cMzUwxLnN+dWFe3tT99+PeEt3d21DebmGmybqzOd73CoNUHXs6iUe4Sh5H89dgqP1qdp9R1sM6Rc6TE31cBv28wUOxw9OokbmtyxvJ1XXHcp+JKeZ/HS7fuxqi4qElTLXe0ujskp+LQ9h/VWkSAwyBc91JTH7GyD+ckmrXaeuw9vZ//qFBedfT93rW+jLD0W7AYvLT/CKdYKjhFgGIrJcof/vPOrFEXAu7f9E4VdTfqreR79+Q9y8FcGDej3fewTMOER+hJj2dZI5BWH1V4RMeHhT/sYT+QQbUP3hy1FmB0xpBnLGJF70pWfIKiGBGVFlI9QpqK42MKUERsPTOlmAF0HlEBI9F0dSJ5YnqBYjJ8ihS4vaUcsTDV4+RkP85fn/zccO0D4AlUMmDplnSi2mvuepdHXhn6KhNRgLktGRAhc38QLDDzXpN7Js5BvYkkdl69ZPU7OLyNFxI7cJov5OstuhZrZ5bMHX861x07lxpV9XP/YyWw+OKlBSbkw7jKk6y1vHq3q5g+FiHBaN2IwmmYqCL3DRcJSyCn/4z8zs62OzIUcPTjFP9xxtm7H15dDrlkRiPQ10dit1qCwQvL9VrHKIWBKwlTJCNYRSl1lMajJaYBd10w7twadRcHqOZa2Yo0Bc0l/n/wvdJlDZ8NLgTPJ8bPvRTTIvdRVrnTcL8hrIWe1Sa315LhZq8OLmVpkQ31fnP+bV5gdbcmbbd17N7XweyLubAQyBoWN7lsiXIyeIMjp35t9Lahk4m6PPQFBTjP09naH7vYC3YU8XkXiliV+cRBDTvI23aogyA+AO3ZdUTyqW+4lwEKjL3S3nUQxMsCt6CIluTWd86srMRErHrq6lV8RuvCH0sqL7t+rUgVH59rGSOlM3pRX1YU3glxGkYKhcMEQ0CkRzIlAjEFXSXxU57ZmKkSJOC0q9SZkhKnUCkPqIXF0w4Oh48W/8wuDC5+6h8kollHmNR6TIsCzCsLofSQG6xv9/Li/7PlHK3glx4j3q3womeCwopiS0Jay4cYIbACpW1w+XTrhhe4XXvyH3PJTV/CdV/4BEYJarsdUsUukBPPVFlPVDhuNIrV8H8cIsc2QtUYJoxBQ7+e54NT9dDybguNRtXvMLNbpuTafPf//p1buIRsmm/snOfiW97L709rlO1XucGy9Sn8jx87JTTqNHKVqDz+ULNfLhL6kUOzjeybrboH1ZpGvt8/UfXUfeyVSKH5t8Qb8Q0WOHptACoVEkRMhnVYO6Q1ftlP/0x8SlENU30C5hq712td35dED0+xdWMOpuESWwuhJsCOkN4hLKUMROYASqfUlXUllT50XnvUYxR0twlCyeaSK3ZC01wssTDUQGxZhy0LGbljlGsyW27o4hRNR21Xn7B1P8PY93+S1U3dRlj6v33M3205exS57rK5U6PkWfs+i03Vw8j6TlS75kothh6y1i2x089z/xAKWGdJdKxAdzdNbKnFe5SCvnNc5wBWzh0HExbV7mLWaHOtXafo5rls6mUNHpzj60CyHD8wgjQi5vavBUH1D9xOOBJECbP2wqUKA4YScMbNEWAm0W3PKZ/KUDciFTJS7rB2YRG3ayJ6B7BjDbd4AZ8Mgf0xqIRno3M4wp+jPxB2FfB3XFYEWEknM9jhNPSPkklhb4u4bEjqxJp+47NyaRjBLX786dQYo462YEwyhW49dWDgOLZzEau1GXGxfaYFADNIyehpVGuRjUFZScTU7z/hciWs7aXIeFHRKDZAK3uzaQFtE89/1mLvdG8o9TShbAKK5S6O6pasR25P3KfLLgsrjHvn1gMKSdj0YnsIrSbyyxC8ILfwtMVAy0hjvoDWczMTLI1OkwKrE9R7k1ZAASPYtMrX7uTen1xfk9R66tYxQjAYVnMK8wp3Qyk1/RqWhjuy1ixxFY1+sRGTis0OAoUwcNllD4q4N4vxZr6QFu+4GlPSpjVHMXgYolZRfzFwXIC5CkUnZEeiKYpb2uCD1/qT9dOP7fUggJulIsUU6ipLPusxH34+GMKJM6tuQwpqkbGUUizQ3OU6Z60/J4Vzm5DVZswK7oXOTe5MStypwq7p++9OlE969nKVeYCFRHNmsEoaSVYoslFs4UyEHD02nxTIcx0c4PvPFFg+vz3Da1ApeZPDll36GV3/rt8iZcVF+y2e1FDI539AniAS7PvcHFCfyBF0TWQx4fG2SbQubrDeLtFcqyAkP5Rl02jkKRZfv3b+H3FSPSaPDjtw6/+3xH+PBvXO893//W6xtPYgk3cjivxz7Sb73xHYWZuusHZzT1mgpQpVCjLKJ1TSQblzFZk5bsTIQhAKqdo9GMce6LCIAc8XC7OrqQv35AKNjEBUiZFcyceoGjXYO04w4dXqFxxuT9Hs2QdcEK6K33cdct+jNWxpc5UldZEABoWClVaI42cP3DTo9hwv37mcjKPG83BFWwzwLVp0gkvireZCKyXyXRi7Pi3cfYH9jmqPLNZRngBnRbJYRvoCKjxTafRsWIyYX63x782ReVH2cF889Tjeyubuzg9tbu7l3Y57l1SqqE7tHI6AQcvBX38Ouv7iSg29+Hyd99BMEZc25CzMdNo5WdZMK9BqiDYfXvOBuJs/r4ivJvNPka4fOQHRNVu+b0dY9mlHITFwotyrpT0dYLVIAmrOpmVkSQwdI6rYafW3ZRHEcLavZJ4wdSLvdiIhBc207I3jj36UWJonLcmCVjDK5p6Iwzok1+poZZSkogN3SAK0kF1IDbbTLWNngS7YUtiltEXNL3yf7mbFAQDPr3oxJbiPEr+gCEf3pESsqFlxp0/GYaTr1kNJRF0JFWDBxJy0d344bu4e5geBLijwYSeUrof833HgeMcfsT2kPhlfVk/TL4KyD1Ra6Q5HUCoizqQVXoihEtkq9HNqtqy18hC4HGdqDRYcFRVh4kv3KWHjtRUHxGMe5mrP7msbaE4UnBhMJFQOZIhV7AQb3lQz0vBIFRMSKVoJIzgojvzRAskeGttojE6wmaaghmw4VWbELfyQfV4ysdRAzHrzPKpzZ5wbi76KM8JaZ42QEcPq9MfidCAcWfDpXI3OC+MWd0HvgTuoPlQQy7vfvRz8yQveD97yeeu8MKrk+p80uc6xTQSlBoCQt18Yue5wxs8T3ji3ieyZ759YoWS71jRILi48w72jBelJ5lVv7O9l79eWcsuBRnOrS6uTY9RdXYkzrJ2v35AZBTbLcKhNEEtsIcewAv+YR1W3MtiQsStptC1EI8FyTY36NF+QO8icXfQ5DRJgrNpG0+e3X/i0hgtu+cyphMaQ6u8axiu5Uo8oBxpqN3RD050KsQOqKOUktUh+mt9e5/b697D1piTVLEU55iA2bXi0kd8zUAteJULkQY7pHs5MjWMkTGHCvXKDb0vWl8aSu2DXpASbrj00iqj64ArVhQylEmBGebxJFAq/hgFTMmC12W2vYhBwKJvleeyfNbg4qPvmCx8OPLZCf7NENbNaaRe3yNSOEoRAlHxUKztt7iLbvcPp5y0ihOKt8hG+vn8RD3Tkebc7gGAEPPL4AroHRlhihIKhpv7DwJfa0NkPsI1oi+bVQg6EA17WQHQPlSnZ99qPM79yk71ksmpsUTZevPnIW7lpeV6GKO4+IOG0oTX+JH2ajD3ZD1631iwM0r/Tj4ggJ45BioHkzAC2Nuo4TYZu45aSnLUOhdIwtdIYZTpgHMnOKbG1NK5kBhzyJyyz7Xgl9/BTsAoN4myAuiJAoACplyIYnQGnErTsp0ntRxzIzMWEx8jo6F7Z+39op6U9IpKuL5w9ZW4l1knmfCNL2oonTkOTWA5zlDpFRIqoZqUKhhAb3JIw46UCTMulQF8OwG7qFH5FuQgAD66lwVNGbEYQFRVAcWJtBKZNmJAbXMhUWIhb6oVaa/NIWe7LV+8xnYU7R3i4oPaEGVnMyJLG0rWHFJLLiilaxVRrE5ROzgiq1DOO1JN+ZXe0lUErnyyYWoL7e+n6ITNLnJVlnlFjccQGKiME9n4QjjP5gj45zDSeCn+HPgRSZPPT5VsI5Y72mMfAIlBnXzPaGsQvZ3ydrSnKGk6pWkcU/K2XohBe6P/edy/DsEqdXS8wU2ywWGiz3y9TbBUwzJIwkfmiQc3zyhk8572IWe6x3i1TsPtvmNznWr+JGFi+75j2cWnNo9R0KBZeFfJP9q1Pkcz5hoNXGsGfy8LFZ8nmPViPPtrk6h+9eIJr2QEBpsUn7iTiFJALqBmE54mBvCsqwaDapRw65Uxq0NwpMmW3Ww5KulmUpjjUrmLM9/IaDdczGnwyJuibK0ChPpL4lg6JCzvZ143gFc/kWR+eqFHIum1GZQrmP2ykTOQpzqk+kBNsmGxy5dRuUIx7/9f/Irj/+mK7OZUW6O46lMJYcNLhDUNrTZlOVEFJhWhFB18SNbLYvbPBEz0JFgttae9gxuQ7Asl8jb/gEvkGh5NJt5iAUOFbA3Ue2oZKu1pFAWBG2E/DqvfcBcLA7Sd7wmXOa3LB2MgDX7T+Z8GiBKB8h+7qEZ+Qo7A1JGEiEK4jyEUFgsOePruLA+9/N7k9dxcHfvIx9H/uELnupbChEnHTyMQ6uTOIFBv/h5G/z7vv/LZsHJ3RzBU8/pal2nBS8H9HKQ0dbABrpqVM9Updk4lqDFJgkwgEzzB4HSACuqUAUiRDNMAsRgYwgtAA5EIao+Ni2vh1EBH4sYEar8qSUtQRUxr0aWwMiZra6epXujWom54o0qCS/rLC6OtblThmpde3UwWlEeFX55F1xRufDsPWT/O9O6TklVlUiXIcAQwnTjvfNLwvCnIFfkJQk+CU5lOcpopgXh8S1lVWsVCiCgu6S45d10wUldQ5wKpRjb0pkCuwmdIsD5SNBWweFwcKEitsBRvF0hS4AYtdFKoRGXZ/J/ohQpF6SZM0651rouGJOv4pADe65OBafzW0duJqTuO7gXKlwFbpWtx/HmxMvi7631FBKT+QMkOtKCARqkGJkZgR5IoAz1yZ1R2cQ1kmFqKyAzN4PZBTRUW9PssfpfTByTyV7kk0FEiEQKx2jAlfEYMjU++RDfllf19y6Sj0HobuVVrQ1nfAx3UeWpjm6WeXbR/byjR//I759cC9fe/mncFcK2HHZwl7XYaLQ44YD+2h2cwSRpNV1WOpUqOV6HOtWONSd4Maf/Ci3HNvJ3okNyjmX+zfnWJxs0ItrMIeu9jf6bZu87SMMxZGjk0SOgpaF82iOdl0jnVVcQjCYCJB9wbW3nJn2HK1HBaaKXYShKAiXvrKQEx7z2zdoPTyBYUYYFQ+7KTj4a5dp8EnTSGOIcrGLmvSwHR9zw0QEgpv372ay3GHz8QmUJ+muFHUNYyciXM4jD+Y5eP+CFtb9wW1hTvW0EPQlyop0mb64xF4l50Kk46NB28Jct9LOQdKKMHIBt69t547ebv6ucS5/9shL+Opt52oBpqBQ6VOY7VDfKOL3LCw7wMn5CEtX9No1tcGiU6dkugSRQYTgiX6Nh4/N8vCxWZ1C6CjMljFwBXa08DVbEjnfp7LQImzaMK39g6qsuXWY0+lT0zvrXPLimzhn4gmmam02Dtf46HWvZeNoFeHFzQGEGlh5FikTygreRNNNkvn1h3E5RS/DAOLXtKSeHGZIWRBKFhCTpn/EhQX8Qqxx25l4JqSIULPPIB5nDKyE42jUsmRwrrTghaHXZzcUZkenhmSVCIQG0riTAr8okJ6ifDDCauvjeFXozG8hcJ9MAUg+Sxhydo5JPDdZjxr8PyrcyFg3XlkDyo69xKGxz9A9auMxqUCSGiCTCBahdNlKdyIGCcXl//yyGrpWMtAgrzAHdkOnRA1ZaiPKVGRqpdXsiXR97qTCndITlr6IMRnEAla3akSo9P8kJUlkUNvJvRfmdRGJIJ/JfU0KTcRpYQituAR5UiCVDAceDJmEI5J7ndgiV1ox8Utx44akU1J5sNZs04GspRvkSF3ayV4k5zDi+3UUtDdEGVdxikBOnr/M8zgU+xWZ9yNx76yikbwfAmcxGJMeS2ogoG7+IWJQntj62XoSOuEtXcuOyDseRmwBTlW0q3HbvlUqTp9eYOEWTJp9B9OMmKu2CCNJFAkiJWi6OW78yY+mx2uulDhqBRQsn29d9DFeds17dL6qGWEUAt3lpidZ2yyTL3h0gxyi5sGKw0Mffhe7PvtRitvaOk7atDDrJmFOUdzeSs+x353j8PIEqmtwb38HR9waJy2s8PC921HlkOlij/V7Zuhu11wsel4bcaCIXwsw2gZBz2LX4jqH751HmAqrLgk9h3ohry3CUGA1JKGjqJyxSeeOaUJHa/DeTEDoCHb9yccQxQDLCgl8oYEurqEFtRlBKDi2WdF9ek19t4dzHihY2qgwN9Xg2EqN1Y0Kn+++mO5qEVn0EU5EGBjM1tosb1SolLv4eYOgr32ZxZzHbKXNnso6vdDi+vVTuO/wAnsX1uiHJv/zJ/4LXAB7P3EVodCWnEzib75u6q4CHdsOV3I0KyZmw4CKDrrIhsk5X/sdTjmrzStnH2DabHL1sRfxwEPbtbLhRIgYKZsFLBmeRtH65WiAPLa1MJaeGLiXlE6NUCJO/ejGQi9GDSfuqcSSTV1mWSaTfegZEcIj1jWQ5kKKSDNGGfedjcqZY2yh9afnSig+vt3SQsrox65xX/fqNTyVFsiP4hQWGQoIdZpP6YiuCRw6gt60RLtOdShkNDY8uoah90/BwNK4JQNhkFwnqxODAL1BHWmro39TPKZ0A3qp47BBXlA8otvtSQ9tIXqxWz1G8mbnleyv3RR45YxwD7Uw9ktxrNPT3YOkm3D3LdYJ+CWlLeLMupXQngtlKsymxgLIUAwQ7Jm8WI2AHz504hZPBJfIxExH9zg0R8ITsTJgN7XSoQydbqYV+cFeJ+0WlTGoh2300Y3hk45GQ3sDIt67JA0rvW4JgFBmngtjED+HkWcjARZnFK9kSaPAq8EXw59n47XJGBHv5VM9g8lcogSzEP82dLQCaixvpSVsTSe8pXvO/BPc+drfp5bv8d8feTE3vfIPePsdv8TuygarnRILhSZ52+fO1/4+F2w/yEqzRKOXI/BMjjw+zVpr2N9Qnm1Tdlxypnbo766sIzyh0cGejg0qWxE2LLbX6qg4oZ0ZfSfZayb9/eU0NUZ6wITHb552Pb6SPOjN8ZVjz0cs60pPf/PEOTgy4N/M3410JcITLC/VCCohj//Gf2TvH16F75r4tZDde1ewdnbIl10O3zuPchRhPsKfjCASbK81kDs6qfBQBmwemtAWQgxAmN7W0MJHKlTPpN+zkVMuUU4fS/gizUf1V/MoK8Joy/SOtXIB0ogo23q9Ud2md1QHqgwzoljtEXVNNjt5hFAslDWCfGKqhdu32FXdYFuxQdnsc8tjuznSrHDq4jJBJDnSqKbXQYSC/e96N/svfTdBWXeFkoFOLbHaGpltdAX0pS6c0NRcuLC7yUmTa7xp8bvc0dzJh256HQ/eswOjI4lyESKK47WuRFkKZSoKxyT5YyIuAhFbJ1b8sLn6XNn0q6zVmTzkCSAnsfbSqk+jbrGnsPh4ku+TNJHE8g3tuENNTEkMTb95kuMkh4vA6Gkrzy8mCGBFfs1HKJX2WDVdFZc9JNX4vaKgNyNp7jbwS5rhGv2MAjNqtSbzSdY5uubsRyOWeioEMojsJAatpBZq2XKYhqerQ9mNeK8sLYS9im6skFhXoRP/2dDcI4a8FjLQaOXiUXTJxoBB+c14v1A69S51j2bXmFmb9nao4fULtNs5EgTFjLWeRF1igZdUIYNBXBEGwjZNAbIHn6XlFE3SIilJrDax9CJLC1qvKgYF/JX2YshApS7kyIxjr3Lw+6R+d3LctFZ1gimI+zenaXUj3o3IIhXwydqynoJRCzStqDbqKRoVnNm38TmzCOu0fnPWAs78PkWFJ99LfQ8lykFuVXslsgU1vh+d8EL3s+d/GoBjjQo3NU8C4P87T/fy3dgsIoWi0dEq21+86M+xzZDJYpdypYcIBG7P4rQv/ydO/tLv8byvfJjJQo/r/vVVPL42yfO+8mG25+qUdzbxVgvQMTHahk4/kfDo93awY3Ed1bBhzWHf1ZdrAacEwUqeBOxy3p5DfG3lbO5xt/OBO19HpATbz15ic7nCsaUJzigc4WR7ibAc6kpRGfcvkUAIxUvPfph+YNJvOPTqOeymRPaEtmylFhCPHp1hqtrBnwx0zd7YChaLPYJSiD8RsbZcQUml16Eg6htsn65rYVsKiIohKq+7/JgtyeKu9YHl5+tYqte1We0UUYFE5fV4rAi/bxIEBrIQIATk8x4vnDjIudNHULHpV7X6RAhuWdlFruAxWeix3C5xaHmSUs5l71WfYM8nr+Kxyy5Nt8BqasEnPTD7uuB8ZOn0k9yyiVBwxmmH+cnr3sVvnnY9TS/HB29+Hd+5/VREy9SWapiB/cfxruT/0NGpG15VpYAiEVv/Rlfo4heJ6zjR5pW2crOpPEnFm+RhHo09pdr6kynNI98nTG/IjRkzzywIKmVGWwmB7OEjHafKgmecRkRhJUAZgs6cNptkqJC+Si1fvyzobBP4FY3c9apKW9xezEATC2XUxf1ULrnMXEcVhlEgUhKTDJ246EtcYCPIqfiaKEJbYPbVQOEQcWxVQuQovIru0OROiBRUZXYHAsDsCqSrPQn9KRE3QR/cI35lkKtsN7R736k/idsxo/TIIHZ5xDH6BDCnPQxxalk4EGDpPoYDgZceVg7/JSlm6WdG5h6L461k38uB0hHZxOAulRGi+rkKHQZdfOKYf9JeMSgM5qInG79GmXOqzHzjZyb5ffJ9su5kv1LUshhe41Z0XO7uVpcg8wwNfkh672ePFSX50QrKj2slJLcKVlNh9pUu27n29P3LJ7zQTej+13+Y/310T/r+r178WeZnGkRKEIaDXZ4ttTFlRK9nU9re5MAl78fzTKarbe5//Yf51kUfA3Td4/tf/2G+s7p21edXAAAtTklEQVSXguNpwRLo8ovElmBYCdldWae2o46Y6+PkfJSlCGuBtloLIWEp4kB9knNrh5FEfPoFf8UV+77MZjdPYbKL6hr82aGX4WOw96Ql/IpmJORC9n38E5RP2URFglsO7WRfdR3RN5BNk/5sgNWWWC0JcYcT60COxVIDkQ8Jt/eRrk4bsuxAW4oTHrJpYky7hJO+rvUcSA6vTCBm+6iOiWwZCNeAqo9fDVnZLBPZSvt5fUHU1nHder1IvtLXDe8NhZEP2LW4Tt7xdFOIbYfYUatzX2uB21Z2kLd17uRtSzswRcTysRq9eg43MGm181QrXVbWKyhTceC33g3Ank9exfPe/4eISBdXePh3Lk0ZljIUflnh7u3z//yrb/HGhVvoBRZX3vJTPHzPDuSyg9GTg3iZ0taztRH3eI0fNOELrI62nEQMftHuW23dpkjxhMSAmYRxDMvo69SR/LqOc6Yxv+QnGaDJVpQygWx8Kc53zJ53lEaF3NA5Ri3feF1+WceqEreyMrQQigxBYSWKGbc+iIwBNe6EZpZm3J0maWMXxuknSeH+4yf4JGt+MoHLiMBN3kcD5SbIa8GQ8F13QruQI1Pn2yZNH5JjJjFWoy/IbWiFoT+tiCyNVk7KPhq9gYALSgqvqkF7WRdmfllbQYar04R0nFIMWbfJq/QFSSUow9XWknQzYKfEfRwO1psNYaS53YnSlQiMrECKhemQsjYS1xz6Syw+QVrEI8hrZSqI85hFGOcki/g+TixZY/BZNh88tAf7k8bj4/OlFq+IQwK5wRpTT1CyvkRpGPEmpfm6o/Ha7P2VdRUnYxMSw/fD0O9ELHAFRKZ+/pNMA10YhbSq1T+HfmSELsBd/+b3ht4L4KGNGaIYNfuT172Ltm+z0ioRKUFrVbtFozWHm175B6OHA+DgE9NM5Hra+pQ6B89eN7DqBviC5W6FzdUyYd2ms1LUN1g+0BerYSF7gmarwAOtee7p7gBAiog3n3QzhqG5/O7yBu+4+Y08sV5LC8OLjvZ7CaGgaeF3bQKlQUSGK5CepD8b4E2EyFyA1RJ4VcWdh7ezZ9sapXIftbOHuatN3tHxzolqBxEIcnlPH7+ufSZR2yJ0DS2gYq1cdUztBtvIEVUDjJIPTqT3oGMStS3yjsfUZBsrFzA32aTj2UwUerxo10FuO7aDSAnuObaN5u3THFupUSz12Te5xi2HdlKZ6kAgiZTAb9pMFbsYh3NDD4y92KE3H6HkAE0Z5hRBXuGcXefdP/13vOikx/lefQe/c+PPcPTeOeSaPdw8INAC2moL8ksytoy0ELY3JNLVscsEJZowx1HBOWRJJparzDAlM67Ok0npSBjcUJWeEYYx5O7KMNYh4bmFu/gpgR3Z32cEn9XW1Z4MT2E3tdXb2Sbozho6/haptBGAiBFzhdUBYCoyBZMPBjh1mHgwpPRENOT6HpovHDfnUWt8FCj1ZBW5YJgRp5+hlQF3UtE8SbvB/bIYXnvyKrWVavR0XLg3q5HL/WldSQyhC20kebkC0gInuTV9XZXQzeANN06pkWiFVGSstuSUIYM2mWKwPiOT05udY1ZAZdc8JDCf5Lqm91HmvlOjwjjzm8TLEeb1niQhi9RzoTJWdPzcaRwD6f0ZFHRhFiMWpjqzIv4uNzh/Yq0HhdhKTlzjZkbJKQzWmt5HDM6XFcjZPRv6fvR5EoPn8kktYqU9Ebq2uY6tJyC0MD+4j0JH96t+uvQjI3TP+OqHjnu/rdSg59o8b3GJM776IR5bnqbeydOq6+7URjFWz6v6de8XP8Kpf/OfAdjzVx8B4OBb3stioUFxvqOtopZMNWgRCh49NkN5qkN+tsvBX7uMx3/9P3Lgl95PZKk0JiRkxKHmBHds7OARd56+snigs4Dv64IU13/vdMKmReAZhLlI58taESKEzSeqmG0JvuD+1TnMhoHZFphtgVH1sRoS60COIK9SgZ03fVpHKlgPFwgOF9ncP0lpR5P1xyaRAfQeraLiNCEsnU8xP19HFQLCcqgFe9uAso/KhZSnOkSbjq41rHSJR3IhlhHR6jpESlC2XaYKHZr9HMu9Mp2jZR5fn8TtWojT2/zsmd+j37OJlG6Dd978E2AojhyZxGgZHFqbIFh0UU7Enk9exRlf/RDP33YEZSrc2ZCwFrD70x/HPrvORS+7i794/uepGV1uPbCLu+/ajWya2qroJ+jPAUPMrUmsJrF1puPDwo8t2UCPk56O6Up3UH1o1M2VzQ1VIraIE+ZrJYhPzcwGAC1SwVtYSjSB+CYddceSYZbfx5t1XOyUmPGP5HFmKYtMdhoRTlPpFnVtbfkl7do0o9eKidmPqO4PmbkzYPIBF7Mb4lahvd2gtTPDXp5EGGTnmgXIHBffzuxFlrknvzP84d8ftx9Ad1HRm1M6bphY3vG5g7zSAiavdIy+K+LYru6b65fAqzGo1BUrVdLT3iIkA+bOwOWdujFj4ZKAonTsnLQr1KjlNjTxrLAcFbBZ6zXzN2rBbmn1Zfdp1NOSnCeTn+tVB6k8iWs58fSMun6T/70KqRs722Qj663QlqN+tlLEsxwg77Nx7dF1Zj1LCQJ91OLPgqyCokqFf5Jrn635vJW1i9IYgNy6BsyFtqCzXeHWBF5Z0F3UzTaeLv3oCN3ZpfT/c//hA9hmwP94yR/z4Bs+xOF6jSAwiHxJOa9LrYRtjcLY+8WPUK7q7Pawb8B9GqFy4Jfenx7vv73w85w0tabr9joaXGI3BLllg6htMVdup+3/EoqKIWrOJSoHRKHBer1Ey3W4fvNU/nTpJ/hfd5yBbQVYRV8LP6mI+iZmWyL7AnvNJNjmajd1zGxaqyWMPW16u3yCguKcnYfxZkLNFPZ0ibb1mZtscrRZgShOsYh0WzXPM9Mctv3vvpRde1Y1AjO+8W6++EqMuFQiUhFOaD+Lua6Dhyp2w+Snu4i2iV3wafcdaqUeE5Uujy7N8PChedYO1VhrF0HBjok6YtOmkHP5X4dPJQwk9x1ZoLjY4oaHT9ZC3JNEsx7BkQL5oqsR0CF0D1SIlEBOasDWth3r/N4r/wefe/5f8M7Za/lm53Q+ePvrUOuOFqKxpWF2dG/U/LIGTEk/LuUXP1yJdWp4Iu0xK924abUXo2Hj6jNpgYuYkaUxqoSxSYYAKaEzKJOYFT4JY3Ga0aDRfIZEhiEPCaynEUZKrAURx9QSl2bK6DN/QUGnP2iLQjcgMPtxD1RDDDGv9JhAa4dB8UAT555D6V545Uxc+UmMgEQoZNM9Ums2IxyyCO8hRhpTEidHZpSUrEWYfRW6aXziNk6uQ6owoZ+LoKT7zCJ1GcbQUYR5labIWM24JnSg47kwyP/sT2tXbOoazV6nDCNP07K2olGhspUVu5WAHbHmjlNwtrJwR86bgJ0SV2+Chrfa8ZiMkimDAco92eREGJv9wfF06l0sXEcUpMjWxzH78fs4bpxgE1JEdHys7FqyCi8Mr3+r/G3pCfxSkvbI1q7hjKITxc1hdIlO3bghsuJ5xEpJAhB7unTCpwwBnP+P72d3VXDm3/0uO2t1KjmbG17x8fR71zfZNbVBo5QjCA2sXEByDxWKfSaLXX755l+F8FS8WsTeL36E/W98P7v++GMcfOtlAKz1iph1Q2t0jqI/q4jsCKvqUrb6dFcX2PXZjyJ7Bky5GHHlGdExCQMJZsQmRe7p2xhGhCz7lHMuraYul2iuWQQzvr4RCxFBLmR6qk17/zTuZIRwJWZXMr2jw9HlAoYnuP3evRgVH3umgxDQWSpytD1NbaFJbVedxqMTWlMvRciHS0SzAaKnufRyo0yUUxSqPfo97WaemWyy5E5gH7Hwq7oFX5iLaG0UEYFAmRFhKClu180RAMJIsvZEDcwIAolQQq8pFDzywCJmT9C9bVrH4iYCIlPhmyHGkkPhlDrdB2s89h8u46x3/yE9r4JacDUDNuG2/bsw7YBXvuBu3jL9bWwiLBHxy/e8hfojkzoX2lDEfWt0X2Bbu1BBP4BK6hxDq6Mf7qSPblotKo5PJrmwYW7YrZa426yWZlIyVJg96M7G7cviNKEEyZylpN5yAkrxynLYEhmlUQtoC4sliTFly+ulbcwySNwU0CIGzMmtJcJHQF3FzdR1n1jt9lRDloCS0K+ZOnUkgnB9g862fQNwT8aaSeeXeIFGrfjs+8Tg36qIwhZKR5hTab9VZ0MXskgtJnX8trmTijAuvZh+GF9DZWg3Ym5d4U6SulpF5gAigsjRMdzQEfgV/ZU7MbhfzE5cWGKgc+kpG6Tdg44r7jCyt8cJaxgyk4b24skoq3wYw8dM9lf6g9KfQFr1yezHjeRNsOI+JilOoZc5bqI8mvq+SoS1Etp6TQuYSNIGIglwKgGOJfuQCNJ0fKift2xt7fQ1ez8k68mseQigmBkjPeJa8/FnmZKfQxpaei6dH52AxCI7RuULvUe5NUHwz6hIdcJbulfe//NsKzW549AOgsCg49scWa8OjXnwDR/isaUZXN+k07fxOjaPv+m32T6ziWWEHN2ocqg1yfyOjbTfLABOxK4/0zm8k/muFri27sxjNSTYEX7TpuM7WFUXWQww5nTKTOhJwr6BnOlj1Q2MTYsoFPQ6Dq2lMlHboutZqK6JbJna7ZUPUAt9VC7EXLXY2Czi7u2T395i7uQ1/Fmf5TvnMKf7hDmFNdFnZrJJt56nd7CMs2ZgNg3qRyqYRtwc3AOjLQnzit17VpC+7h/rdmwo+3Q38xp9HZPhhEQOeh8CicpHSDuksK2NdEK8jk17rUjjUJWi49H3TWTR11aIJ1BWhOqYTJ+0jiqESE/Q3+WhdvQxWrq4SKXYx9jdplUvxDnAOh0jMqBa66LmXGp7NvnpM+7mrWfeyE9UHwDg/Y//DK+97u00HpzSMZgYkSyiGCizLnA24oUIsJqSyFR4tSi1oqyWiNHMMQNJkKNJPAv93uoMGqtLT+c35jcinIZORUmsvMTqHSqBmLFgEuvIaml3VfBktXZHaYRJJ9ZEYUmRX1PD+BCDIbfoEHNSumZwosgMeu3q7jdeWbvVdSrKwPOhXYwKuxNh9qCzr4LM57RLedQ1nBEOT5oylPyfMMKM1TsE8tniOHZTI4tBV3caKl+ZWH+ZqYhw0BVG+BqZrJ/dRPBqFHOCSB4S2vE+mh20VyArBKWiP3v88kb1KKOv36VWWUaQpG7SdLIjf6O/GxW8W4wfoqyiEel72Oxp4ZgcN7L1q9EbCMDEve4XdcqREVdgSq6RULHS6pGm4sDg+oVJOldihWaqtCWWbRIvTe5PuzEQ2qNAr/Q4GWVNZPcws1fH7V/GZW24Ig3xDO2R0MrcEMV7Fhm6i1dyLunr9otPl054oXv1A+dTd/MUCy69lUJq4e7+yyuGxll2wOaxCv0jJayC9h8e26zQ6uSIQsl6p0DHtSktNgn7BvuuvhwUnLLvGHu+8BE6vg07ero2sR3hzg0K6D+8f4FtUw1mJls8+gu/g+wZmCs21qpFtJrTCdYhRB0tZIUnMDpSpy8t1nF2tLFagqBlETUtZNPUlaE6+k7urhR12pMnEbu6zE60MOa7BK7J+p2zWMuWTn+aDrUbxFJsNoqw0Mcvaa4iXcHRjSrhpAZ5qVCwMFvHXrKQfcHeT1zF0qFJpIwI51yMql4nQiGlIgikFs59iVXyUIWQY/fP0jlaJmpZCCPCnO1pV7mCvbV17CMW3kSIkIrI1yCmfNklZwaYZgQNiyiv2P2Zj8M5TZSpkDLigr2P87aTb+AXJ27mZcWHuL5xOr/05d/k4Tt2YqzZA6ESxSkZaGXInRg8GDp3UcdqZWwBpxVzQtK4b8J0EqtNCY1ENvoq7h8aF6KwwOxFtHZK3YzA1MwrzGkgyFC8NsOJE8bjl3Wt4qxwPE54jX6WYaClw7rdnBIMF3ZgmNHZ9YGrD8jUkx4cU5k6fqfbysVryAn8fNyFJ2WAgn5N4hehN2WwcsnZQ3mtQ+vdSgBkra6R/7N5zMeldWTGp+jRhKFmx6rBtRvavkzainY368b3Q65QtAvZWRM463F83xUpXsLskFahSg5uNwbCP7G8U36fSX8ZolFFYgvhqZ7Kut1K8DI8fkvXs9L3utVRw8Ct5DfmwFsQ5rRlqOTAbZyETYaUqAQQmIlbp4jr5J7JAJ6U0ALf7JE2lk+8TIYHuc1I72/Gsj3unAws2mzONmT2LX52/ZIOE6Qhlth6DpJzDCmqcew/5h9G7Po2+7p1puEqnA3NA4Ki7oP8dOmEdy/7bZvp/Dp+JLnnrRoEVSv3uO1VHxkal7N9zLmQ1lqRR3/+gwB4HRthRqhAEjk+/YMVomKIXXMJPAOjEHBwfYJqtctSo0yt0mVtqYK5ZukC2oGRWr+H75/n9HMOAiB8obUooV14YTXQ1YMkCKkwKiFhIKnlejz06DZyR3SvWbOhL5d2eSlEPkAFEtmXlPIuPSNPFEmW75ojLEXkjhkEJaURmU4EpiIoRciWQdiXVHc26LUK+JWIqOZTtELmFtepT+ZoH6pw9MA0Ztwdx6+FyEJAtdzDNgPWm0VUQ6OJo7ZJUA50S79Q4NcdpCtjYIkiP9sl8A38ek43GjAUh1s1lAWqEEIoKE126VkRp8ysctf+7RSrfab2bTCZ75I3fR5enWHnmcf4w5P+mge9ecpGj6s3L+Crt5xH+VGTYpwfmyAdE5eZX9EFLmRHYrUFvRmF3dBCVsWNiFAD4AsMGH6ayB9pAarL92lG4k3p3qi5de1ONmPNP5s7qwWGVmq68yIVQKkgJ+5mY8YPfoZJyFAL6vZ2MST4U9AKg7G5NdI0Da8ycINlKUlhSb+LBZWS0J8+fry2IFTaBs4ra4YjGoM5RKbAbiv6U4LSEZ/l82OPyKigzVpXyXd8n8+SvRyxBLNjsnuSPVbiLk+BipnDp1NSAwEcOpDb0Khju6NwqyK+JzQa2S8JjAZIT1/L0NGxvTBu2Wi2tLUUFEiLQYR2nGYWV29K8lRFfC+lwlkOz31okoxYbCPfZcccV9UsSyMJ4QqhS6gaOn8ZOdxNSsk457gQgw3VoNZ0kots9oBM/+ghgBQDJSMbajBchsw8w4ubJCRjxcBajSzoTyYB263W9BQCNutGF4MYrJL6emlFm9STlczR6mjg11Cbzfg4Tj1j2Uc6E0FEWjkF8LMe0O9DJ7zQve/N7+Sl13+c+fKgzOL6ZmlozGlf/k88+Ibf5xXXXUq366SfCyMiV/DodzQzUdMexfty9M8OUA0bpSDoS7q72nirBSp71xBdA+lDhNBVi3wNOVdSEUSS3Z/+OFIKlB2Bpbv7mHGJSiEjxGNFHaMqRLQ9B4K40tGpHdThAkqC3ZSEp+qewJiKMBKUHZeNhoFcN1FCl7lc6s8S2TruZNclYVU3kI8KOgbc7duEJ3epFPt4gUG/Z+NUm3QfrVLY28L3DczZEN83WKy1Wdks02jndNlLK8IIBNGkj7VkEWAS2VHKPKJyQHmqQ/tIBSkVfsPRxSeqPtMzTVY3y7qnaCgQrqQdFHnB8w7oWLBrMFNuU7ZdZpw2vzH3Tf5p4ixeXb6bjrL4XncX1x09me63ZyjFD0gUAy+8iUhbsK4kty7wJiIdb8ypFLHcj9ua5ZdF2uIsibkmbrZE207SG5LcxGR9dkPRn9SAGbOnYresTIUqQh2HmhShBmil+ZrBACySBcpYXc3w/JIYEiIQv45IEHdCu0NHW/ENFZGPXXgi1MIzqdY0ZFkz+F/nvIqUmdstjWDWzRwEhqcLZMhAkV8V1E+2UyCTyswte8yUIY8gqFMlJ+MmjAy2pJQxJ+PVFr8PgKSudbx/QjKwiLPWY6RjvBOPhrTndUEYu6VoL8rYGyLiTAMxqL7kxYU1kkMk7RQthdXRAjt0oLAk6M1poZwy/FAM5asOWXFbCNshGhkzui/Hjx+4Z1Lgj9CfK6l/kCLpM8F2XXUt7rGdOY5udjEQSpETo+9hoCgl88iEA7KelaQOuEZ+D9/bye+T6xgUB79Lr6MaPobhZ9KLRu4HlUAkYsGqvTpayTBcgfK0wA+TtKeu7mEsYheFCOM1GzrdzOxppcsv6rKmRk+fL8wpRPvpW7onvHsZYLrUwYsMLvyf7wVgakLD8J73lQ8DcNLMGgCPL0+Rz+u76Nx/+AAICAKJXLPpPVFGmhH3X/EubMdHORH2hkFYDvGPFlFWxGKpoeOUvsDsa3SjBlUIIlvxyNFZRM1DzbnkpnsIKyLqGxhmSNA18XvaXRzZSqfLHJ7CmnAJ8wqvqVG4USnEnQl1+lBTt52R+YCDK5Pk1iShrYXLkaOTuk6yoXRZSkdhbli6yDpgzPRZmGjiOD711RLugTJh0+KxJ2ZQJvR7NrYdMFHs4ddzHHliksA3CNZ1JS1r1SKsBJhrMajKUNhTfZSpqC00kS0TQ2ilo9PI6Q4p+Yid29Yp2h7hcp6dpy8xsdBEupLiAYuH12e4/eBOrFqfMJLsX5+iE9pcvXkB97cX+MTST/LL//RWvnTjBWzeN01/OqI/o+guRvQWIvrzYVqwILIV/ZkoLsmnr4XV1KlAoB+25OE24/J2hkuaTpLU4M0Wv3DWVVwwXqOZ8ysKrwZuTdCZlzT3SMxunLM4kr6A0A9+aKuBq8+ILYYMo9CWVGypeU+hPWcZVSwMwnwM6Iq0YDX6GStQkFb5iTIuvqHjZf50junAYrQ6Sguomnab9qYkZjcitEXcfUfHhvPLaiBMRt3hGZceJNb04H2qWGzFlTL7mFDoDNoZJm5t6QqUBVZDI9RHc16zLdiMrkjd6/V9pq6sNS/pzmhuLQNdlcpuivg6Cd1QxBteW2SrNBUFNci1DQoaWJXb0HnPTl0MIXmfDqVI+IRG3KBPSZnApxZSWU1HC9KgoOISjIOTiFDnK0P8uRIDQFkctw0zAleJ2AWdjaUn7uWRNK4kJJOA0QYnHf5taKX6wmC6GbSyEmgLPWlYn0Exq+wzZzGochULbenrkIJQwwj73oxIc6d1aEnn/KO0Z8Or6QYSSdnQyNKIbqcutr5nn4R+JITudf/6Ko6s1bDjesf1lobq+fdX2PVnH8ULdYz2sV/8AO1VjXjZOFzjzF1H2TbZRIQCZ1PCMW1GBL6BUTd17c2jJmrCg0hw39ICp+xZ0qkFcRk3qyUIHYVdl0RNi1qtQ9TSV9pYdsCTuI2cZghNi6CgdFpQ20C4EiEVQVW7boNqCHFtYOuQg1k3iFZzqIaNaYZ4FQWzrmZAocCYcHWJxrgZdTDpUzxrg5kdmwAcPDiD7+sKU2JbXz9gLQsx2ycKBZ2jZY48Pq1rMfsSNm1kT1CY7SBCKM50Caoh5lQflYvwXRPpSurLZaxtHVzf1N19XJ3TC3DooTkef2wO6QqOfG+Bzj2TyO1dIgPaRyqUSz3KxT5HVmp0Ww4Prc3yN995Ed95eB+3XHMGVsPQnYSkIsqpuPOL/hOeZopJPFaEOh3KakjMnoiLFsRo4bijieFmLKWYGcgQjL7Cbirtduxr96o7JXA2dS5rkuxfOKbHFVaitJ9p5cCA0w9ZIBnLMgGxiUC7NvVgDdBJ+naaPXA2Bm3TssfZivlKL+7HqgZpTYnwSJiUiHRDg6eymhD691ZzYDl3Z2XaOaY3o7V+ESmcRkjtUZ+Jh33slvaqHHe4xMrNFCIYzT/OAmJG3YYp8x0R4qGt8EsKvxi76YUuBQm6E5BXIy5sEOdnR3HbvTilJYndGq6Op4to4Hk4zpUdagZrN+L5RoO/FBgVhzdEoNJiFrpHrkiFlRIjwmmEhuKuZBSQUas4M37LDR/Z1KTJRvYcSqo0VJW4lAHdcKEPURzXVFI/Z6GjsFpx+lAncx1iqy9M9i0RgFmhm8xTjbxudR8mil+cI5wqZdmYbUaByoZfwtxA6dNCOp57TqV7IL1BSdBRN3IasgiE9kpACqoMCtCfInVVJzXNjT5DjR6+H53wQvfMP/skANKIuOEVH2fXn36MR3/+g+z68z/gkfdfirlpslhoEPQ0Nzz4/75Hv771MmwZcHS9SmQqHvrdd0GsDapDBQpL+n9vUsd8MRTu0aLOxxVxGoPUMcWgon0oZstg44kaOBGea2r0YFeCL0DqNntqwsefDHSDhFKA17KZWGhi5AKEK5Fdqa01CSousIECt+1QPGOTYqlPbl8ThNJrEsCEx9Q5K5x18hPsnVhn/aEpokiQn+gReHoeSsUlEO2IcrGPcczBmNDQQWd7G6MjyS22NdNtO/glRWe9AE5sMgYCsW7rOXUNfNccgKsAEWvZytEu6KAS6v0pKcJAYvhw5pkH+dSZX+T9p34DeSSHcg26d09gtiTGkq1rKps6ASgs6OMoS8eRrYbErkvtXUjqtsbxWDNJd3DihynuGJSm8WQYqNnVJfySvFwRxS3tYqYSxG3T3AlBb1pbQLo9mrYGchsR/UkxnPIhRl5jCnK6P2xvZqApJ6kUSfy1sBIOwE5ZQSUyDA1ihgNILVStji5sYXYGeZEJMjUpzP9klFj7kR33B85pV58yB4JT51FKQkcS5iT9CYP+pBhKPYGROWfdwJm/7PstBU6yd5nvktSmBDWbutUFOo4qtTARofY0JUCYoKhSq1mGGvwEcZ3smNFvGQTOCPukhaCMBfiQBa/QpTNj6yrIZ35X1C7oZGzqSs0KoozAGS16kQidgUdga81lSKBmBOzQno54NXSMXlfU06Aj/V3SucjwBHZLHCcsVexB0QheBnmr0eDco4VIjovDJ0JVJij52IpWg/klOfOJMpM2GEh+H38uIu1VhGR8rIgr3U7Ramn+0J3dwjrNrCe5Rgm6OflMegOlI/FmpP1/nyadsDFdFZepC+mw86rfx5p2aTabqLpHs9mEsEOz2cTYtkq7FRF1+5z039/PHa97X3qMsOtyx6t+i3P+5qN67Ep8jF4f1xDgg7EEgfARniSSCqPfxc23MfsmAgiMCHNV0s8rVC6EvsDO9fHWHLA6SF8S+SFCRKi+Aa5C5EKCdQPZM1ACNnwTFQUQdLXlGoFrg0JBPlaxGgaVqU2euHObFvh5l/xkj1qtx3qzyNEHiyz1yqgJH+W0yUV9OocKSC8iv2MNt2fhTnuINYsNz0SoHhxVmK2Anggx2i69R0xE2MdYEXiLLe77uUsBOPOzn0QEHsIVsL3HXZdcxplXX0W0YSM9T+cV+yEEIbLoc87eJ9hV2OD6oyfR2D+BWevQOaXH88z9PLA5wRFvAlF3KR6C/nRAaGowmIotw8AC1Y10vBvd5ED1BMoHFSgNEokT36NAEHUBDwhiLTN2NakAlBU7AjyQfYUKSYv0+5nWZ+YKBBOCnhPHXGMt10PhS0EQF76wm4peURD1FdVHtSu3vT2ugBUXVwi9Qaz0ySi0wK1A34TQ8FEuKVN4KhIKPKXnbjcUnhS6x3Fs0UdS1xwhLlwweGBIhU1uU5+nX4nL+AkQHfBDCHwIFSgF7bJuWB84gv6kVmKiKD7+yJxGQWrHMV4y6xtd5xbMWkQgOyAleDlQoUJsahyF8gVRQV9LEUEoNKZCtPWrMrUbOoxLeQofokw3nK36/ibMXgkwVsGbUNDRrSTxBUZdW9eirnM2Q0/veWSC2VK4RYFvKURHEKhB+lk2PxWAuG64bkYvRvZhC03pKbwVT0pZpWJkbBTfKxHoeyS2+gBET9/3Rj/ObW/F846dWcLV/2fjsDLU90u0lZKXvd6xq9iIAVrJ5wm6PxWIkd4jXH3c7DEQQOxNIBjgKJTQCoXy5LDl7Q/us0TJHFjVChF7R/ycwuiINCUqIk5hdBJDAkJXa/aJ3HkqEurpjPoXSPv372ffvn3P9jTGNKYxjWlMPyJ0+PBhtm/f/pRjTlhLd3JyEoBDhw5RrVaf5dn8y6Zms8mOHTs4fPgwlUrl2Z7Ov2ga7+UPlsb7+YOj8V7+35NSilarxbZt277v2BNW6Eqp/TXVanV8A/2AqFKpjPfyB0TjvfzB0ng/f3A03sv/O3q6xt0JD6Qa05jGNKYxjem5QmOhO6YxjWlMYxrTM0QnrNB1HIcPfehDOI7z/QeP6SlpvJc/OBrv5Q+Wxvv5g6PxXj4zdMKil8c0pjGNaUxjeq7RCWvpjmlMYxrTmMb0XKOx0B3TmMY0pjGN6RmisdAd05jGNKYxjekZorHQHdOYxjSmMY3pGaKx0B3TmMY0pjGN6RmiE1LofvrTn2b37t3kcjkuuOACbrnllmd7Ss86XXHFFbzwhS+kXC4zOzvL61//eh566KGhMf1+n7e97W1MTU1RKpX42Z/9WZaXl4fGHDp0iNe85jUUCgVmZ2e57LLLCIJgaMz111/Peeedh+M4nHTSSXz+85//YS/vWaUrr7wSIQTvfOc708/Ge/n06ciRI/zyL/8yU1NT5PN5zjrrLG677bb0e6UUv/u7v8vCwgL5fJ6LLrqIRx55ZOgYGxsbXHLJJVQqFWq1Gr/6q79Ku90eGnP33Xfz8pe/nFwux44dO/joRz/6jKzvmaQwDPngBz/Inj17yOfz7Nu3j9/7vd8bKsQ/3s9nmdQJRldffbWybVv9+Z//ubrvvvvUv//3/17VajW1vLz8bE/tWaWLL75Yfe5zn1P33nuvuvPOO9WrX/1qtXPnTtVut9Mxb33rW9WOHTvUtddeq2677Tb14he/WL3kJS9Jvw+CQJ155pnqoosuUt/73vfU17/+dTU9Pa1++7d/Ox2zf/9+VSgU1KWXXqruv/9+9alPfUoZhqG+8Y1vPKPrfabolltuUbt371Znn322esc73pF+Pt7Lp0cbGxtq165d6i1veYu6+eab1f79+9U//dM/qUcffTQdc+WVV6pqtaq+8pWvqLvuukv99E//tNqzZ4/q9XrpmJ/6qZ9Sz3/+89V3v/td9e1vf1uddNJJ6o1vfGP6faPRUHNzc+qSSy5R9957r/riF7+o8vm8+pM/+ZNndL0/bLr88svV1NSU+trXvqYOHDigvvSlL6lSqaT+6I/+KB0z3s9nl044ofuiF71Ive1tb0vfh2Gotm3bpq644opncVbPPVpZWVGAuuGGG5RSStXrdWVZlvrSl76UjnnggQcUoG666SallFJf//rXlZRSLS0tpWM+85nPqEqlolzXVUop9Z73vEedccYZQ+f6hV/4BXXxxRf/sJf0jFOr1VInn3yyuuaaa9SP//iPp0J3vJdPn9773veql73sZU/6fRRFan5+Xn3sYx9LP6vX68pxHPXFL35RKaXU/fffrwB16623pmP+8R//UQkh1JEjR5RSSv3X//pf1cTERLq3yblPPfXUH/SSnlV6zWteo37lV35l6LM3vOEN6pJLLlFKjffzuUAnlHvZ8zxuv/12LrroovQzKSUXXXQRN91007M4s+ceNRoNYNCN6fbbb8f3/aG9O+2009i5c2e6dzfddBNnnXUWc3Nz6ZiLL76YZrPJfffdl47JHiMZcyLu/9ve9jZe85rXHLfe8V4+ffq7v/s7zj//fH7u536O2dlZzj33XD772c+m3x84cIClpaWhfahWq1xwwQVDe1mr1Tj//PPTMRdddBFSSm6++eZ0zI/92I9h23Y65uKLL+ahhx5ic3Pzh73MZ4xe8pKXcO211/Lwww8DcNddd3HjjTfyqle9Chjv53OBTqguQ2tra4RhOMTIAObm5njwwQefpVk99yiKIt75znfy0pe+lDPPPBOApaUlbNumVqsNjZ2bm2NpaSkds9XeJt891Zhms0mv1yOfz/8wlvSM09VXX80dd9zBrbfeetx34718+rR//34+85nPcOmll/L+97+fW2+9ld/6rd/Ctm3e/OY3p3ux1T5k92l2dnboe9M0mZycHBqzZ8+e446RfDcxMfFDWd8zTe973/toNpucdtppGIZBGIZcfvnlXHLJJQDj/XwO0AkldMf09Ohtb3sb9957LzfeeOOzPZV/kXT48GHe8Y53cM0115DL5Z7t6fyLpiiKOP/88/nIRz4CwLnnnsu9997LH//xH/PmN7/5WZ7dvzz667/+a77whS/wV3/1V5xxxhnceeedvPOd72Tbtm3j/XyO0AnlXp6ensYwjONQosvLy8zPzz9Ls3pu0dvf/na+9rWvcd1117F9+/b08/n5eTzPo16vD43P7t38/PyWe5t891RjKpXKCWGZgXYfr6yscN5552GaJqZpcsMNN/DJT34S0zSZm5sb7+XTpIWFBZ73vOcNfXb66adz6NAhYLAXT/VMz8/Ps7KyMvR9EARsbGz8s/b7RKDLLruM973vffziL/4iZ511Fm9605t417vexRVXXAGM9/O5QCeU0LVtmxe84AVce+216WdRFHHttddy4YUXPosze/ZJKcXb3/52/vZv/5ZvfvObx7mGXvCCF2BZ1tDePfTQQxw6dCjduwsvvJB77rln6IG85pprqFQqKeO88MILh46RjDmR9v8Vr3gF99xzD3feeWf6d/7553PJJZek/4/38unRS1/60uNS1x5++GF27doFwJ49e5ifnx/ah2azyc033zy0l/V6ndtvvz0d881vfpMoirjgggvSMd/61rfwfT8dc80113DqqaeeUK7QbreLlMNs3TAMoigCxvv5nKBnG8n1g6arr75aOY6jPv/5z6v7779f/dqv/Zqq1WpDKNEfRfr1X/91Va1W1fXXX6+OHTuW/nW73XTMW9/6VrVz5071zW9+U912223qwgsvVBdeeGH6fZLm8spXvlLdeeed6hvf+IaamZnZMs3lsssuUw888ID69Kc/fcKluWxFWfSyUuO9fLp0yy23KNM01eWXX64eeeQR9YUvfEEVCgX1l3/5l+mYK6+8UtVqNfXVr35V3X333ep1r3vdliku5557rrr55pvVjTfeqE4++eShFJd6va7m5ubUm970JnXvvfeqq6++WhUKhRMuxeXNb36zWlxcTFOGvvzlL6vp6Wn1nve8Jx0z3s9nl044oauUUp/61KfUzp07lW3b6kUvepH67ne/+2xP6VknYMu/z33uc+mYXq+nfuM3fkNNTEyoQqGgfuZnfkYdO3Zs6DiPP/64etWrXqXy+byanp5W7373u5Xv+0NjrrvuOnXOOeco27bV3r17h85xotKo0B3v5dOnv//7v1dnnnmmchxHnXbaaepP//RPh76Pokh98IMfVHNzc8pxHPWKV7xCPfTQQ0Nj1tfX1Rvf+EZVKpVUpVJR/+7f/TvVarWGxtx1113qZS97mXIcRy0uLqorr7zyh762Z5qazaZ6xzveoXbu3KlyuZzau3ev+sAHPjCU2jPez2eXxv10xzSmMY1pTGN6huiEiumOaUxjGtOYxvRcprHQHdOYxjSmMY3pGaKx0B3TmMY0pjGN6RmisdAd05jGNKYxjekZorHQHdOYxjSmMY3pGaKx0B3TmMY0pjGN6RmisdAd05jGNKYxjekZorHQHdOYxjSmMY3pGaKx0B3TmMY0pjGN6RmisdAd05jGNKYxjekZorHQHdOYxjSmMY3pGaL/A3RkTHzlwuzWAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Thiết lập giá trị trung bình mùa vụ để xử lý các điểm ảnh bị mây dựa vào sự thay đổi theo mùa\n",
+    "time_split = [\n",
+    "    slice(\"2022-09-01\", \"2023-01-01\"),\n",
+    "    slice(\"2023-01-01\", \"2023-05-01\"),\n",
+    "    slice(\"2023-05-01\", \"2023-07-01\"),\n",
+    "    slice(\"2023-07-01\", \"2023-10-01\"),\n",
+    "]\n",
+    "\n",
+    "# Điền mây ở các vị trí mang giá trị nan (fill nan)\n",
+    "fill_nan_ndvi = fill_nan(ndvi, time_split)\n",
+    "\n",
+    "# In kết quả ảnh NDVI đã điền mây (đã fill nan)\n",
+    "plt.imshow(fill_nan_ndvi.isel(time=6))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "375b1cfb-37f5-49fe-8061-ea32eb47f9f6",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<string>:6: FutureWarning: 'M' is deprecated and will be removed in a future version. Please use 'ME' instead of 'M'.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 7.19 s, sys: 3.26 s, total: 10.5 s\n",
+      "Wall time: 4min 16s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "## tính ndvi theo tháng\n",
+    "average_ndvi = fill_nan_ndvi.resample(time=\"1M\").mean().persist()\n",
+    "progress(average_ndvi)\n",
+    "\n",
+    "# compute average_ndvi\n",
+    "average_ndvi = average_ndvi.compute()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "187cc640-aef9-476b-91fc-b63f4d3ff2e3",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<h4>Dataset size: 21.60 GB</h4>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
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+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
+       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
+       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --xr-border-color: #1F1F1F;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 23GB\n",
+       "Dimensions:      (time: 33, y: 8874, x: 9902)\n",
+       "Coordinates:\n",
+       "  * time         (time) datetime64[ns] 264B 2022-09-06T22:46:14.500000 ... 20...\n",
+       "  * y            (y) float64 71kB 1.106e+06 1.106e+06 ... 1.017e+06 1.017e+06\n",
+       "  * x            (x) float64 79kB 5.548e+05 5.548e+05 ... 6.538e+05 6.538e+05\n",
+       "    spatial_ref  int32 4B 32648\n",
+       "Data variables:\n",
+       "    vv           (time, y, x) float32 12GB dask.array&lt;chunksize=(1, 2048, 2048), meta=np.ndarray&gt;\n",
+       "    vh           (time, y, x) float32 12GB dask.array&lt;chunksize=(1, 2048, 2048), meta=np.ndarray&gt;\n",
+       "Attributes:\n",
+       "    crs:           EPSG:32648\n",
+       "    grid_mapping:  spatial_ref</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4706b96a-27b6-43d5-a1bd-343eef391ee2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4706b96a-27b6-43d5-a1bd-343eef391ee2' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 33</li><li><span class='xr-has-index'>y</span>: 8874</li><li><span class='xr-has-index'>x</span>: 9902</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1974bd77-4c2c-419c-a275-3dac4fb8ab3e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1974bd77-4c2c-419c-a275-3dac4fb8ab3e' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-09-06T22:46:14.500000 ... 2...</div><input id='attrs-78c8147a-1fb5-4065-a549-f41ff162e825' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78c8147a-1fb5-4065-a549-f41ff162e825' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7f86062-a307-460b-b309-1531e5e7eb59' class='xr-var-data-in' type='checkbox'><label for='data-a7f86062-a307-460b-b309-1531e5e7eb59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-09-06T22:46:14.500000000&#x27;, &#x27;2022-09-18T22:46:13.500000000&#x27;,\n",
+       "       &#x27;2022-09-30T22:46:14.500000000&#x27;, &#x27;2022-10-12T22:46:14.500000000&#x27;,\n",
+       "       &#x27;2022-10-24T22:46:14.500000000&#x27;, &#x27;2022-11-05T22:46:14.500000000&#x27;,\n",
+       "       &#x27;2022-11-17T22:46:13.500000000&#x27;, &#x27;2022-11-29T22:46:13.500000000&#x27;,\n",
+       "       &#x27;2022-12-11T22:46:13.500000000&#x27;, &#x27;2022-12-23T22:46:12.500000000&#x27;,\n",
+       "       &#x27;2023-01-04T22:46:11.500000000&#x27;, &#x27;2023-01-16T22:46:10.500000000&#x27;,\n",
+       "       &#x27;2023-01-28T22:46:11.500000000&#x27;, &#x27;2023-02-09T22:46:10.500000000&#x27;,\n",
+       "       &#x27;2023-02-21T22:46:09.500000000&#x27;, &#x27;2023-03-05T22:46:10.500000000&#x27;,\n",
+       "       &#x27;2023-03-17T22:46:10.500000000&#x27;, &#x27;2023-03-29T22:46:10.500000000&#x27;,\n",
+       "       &#x27;2023-04-10T22:46:11.500000000&#x27;, &#x27;2023-04-22T22:46:11.500000000&#x27;,\n",
+       "       &#x27;2023-05-04T22:46:11.500000000&#x27;, &#x27;2023-05-17T11:11:32.500000000&#x27;,\n",
+       "       &#x27;2023-05-29T11:11:32.500000000&#x27;, &#x27;2023-06-10T11:11:28.500000000&#x27;,\n",
+       "       &#x27;2023-06-21T22:46:13.500000000&#x27;, &#x27;2023-07-04T11:11:34.500000000&#x27;,\n",
+       "       &#x27;2023-07-16T11:11:35.500000000&#x27;, &#x27;2023-07-28T11:11:36.500000000&#x27;,\n",
+       "       &#x27;2023-08-08T22:46:16.500000000&#x27;, &#x27;2023-08-20T22:46:17.500000000&#x27;,\n",
+       "       &#x27;2023-09-01T22:46:18.500000000&#x27;, &#x27;2023-09-13T22:46:18.500000000&#x27;,\n",
+       "       &#x27;2023-09-25T22:46:19.500000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.106e+06 1.106e+06 ... 1.017e+06</div><input id='attrs-d9c86852-e567-459e-9b4f-caeb5b9ffde8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9c86852-e567-459e-9b4f-caeb5b9ffde8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc35ee8d-12c7-47e3-8db2-383e99b1c387' class='xr-var-data-in' type='checkbox'><label for='data-fc35ee8d-12c7-47e3-8db2-383e99b1c387' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>-10.0</dd><dt><span>crs :</span></dt><dd>EPSG:32648</dd></dl></div><div class='xr-var-data'><pre>array([1105735., 1105725., 1105715., ..., 1017025., 1017015., 1017005.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.548e+05 5.548e+05 ... 6.538e+05</div><input id='attrs-e8580485-540b-49dc-aba9-9bdf96c44a76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8580485-540b-49dc-aba9-9bdf96c44a76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5712ee21-8757-4f27-b5f1-d49903ec15f0' class='xr-var-data-in' type='checkbox'><label for='data-5712ee21-8757-4f27-b5f1-d49903ec15f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>10.0</dd><dt><span>crs :</span></dt><dd>EPSG:32648</dd></dl></div><div class='xr-var-data'><pre>array([554795., 554805., 554815., ..., 653785., 653795., 653805.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>32648</div><input id='attrs-8ccd0122-7cfd-43da-8870-657101e3265b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ccd0122-7cfd-43da-8870-657101e3265b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-490c3888-f685-441a-9908-30ecb94a7b0a' class='xr-var-data-in' type='checkbox'><label for='data-490c3888-f685-441a-9908-30ecb94a7b0a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 48N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,105],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32648&quot;]]</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd></dl></div><div class='xr-var-data'><pre>array(32648, dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f00791ca-e25e-47e1-b3d8-45f318196269' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f00791ca-e25e-47e1-b3d8-45f318196269' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>vv</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2048, 2048), meta=np.ndarray&gt;</div><input id='attrs-3eaa87f2-d300-430a-b94d-c3643701d3be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3eaa87f2-d300-430a-b94d-c3643701d3be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b84605b2-6961-4839-bce5-a9ef2a5d8182' class='xr-var-data-in' type='checkbox'><label for='data-b84605b2-6961-4839-bce5-a9ef2a5d8182' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>intensity</dd><dt><span>nodata :</span></dt><dd>nan</dd><dt><span>crs :</span></dt><dd>EPSG:32648</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 10.80 GiB </td>\n",
+       "                        <td> 16.00 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (33, 8874, 9902) </td>\n",
+       "                        <td> (1, 2048, 2048) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 825 chunks in 1 graph layer </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
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+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vh</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2048, 2048), meta=np.ndarray&gt;</div><input id='attrs-a77a8e54-d17f-4afa-8087-4b8c3b990ce1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a77a8e54-d17f-4afa-8087-4b8c3b990ce1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f399674-038a-423a-bd1d-18420727a409' class='xr-var-data-in' type='checkbox'><label for='data-9f399674-038a-423a-bd1d-18420727a409' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>intensity</dd><dt><span>nodata :</span></dt><dd>nan</dd><dt><span>crs :</span></dt><dd>EPSG:32648</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 10.80 GiB </td>\n",
+       "                        <td> 16.00 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (33, 8874, 9902) </td>\n",
+       "                        <td> (1, 2048, 2048) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 825 chunks in 1 graph layer </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
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+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-2d32d405-25d9-4ecf-a716-a8485d39b045' class='xr-section-summary-in' type='checkbox'  ><label for='section-2d32d405-25d9-4ecf-a716-a8485d39b045' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0ab920ef-93da-4d1a-ba62-91bf35efa86a' class='xr-index-data-in' type='checkbox'/><label for='index-0ab920ef-93da-4d1a-ba62-91bf35efa86a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-09-06 22:46:14.500000&#x27;, &#x27;2022-09-18 22:46:13.500000&#x27;,\n",
+       "               &#x27;2022-09-30 22:46:14.500000&#x27;, &#x27;2022-10-12 22:46:14.500000&#x27;,\n",
+       "               &#x27;2022-10-24 22:46:14.500000&#x27;, &#x27;2022-11-05 22:46:14.500000&#x27;,\n",
+       "               &#x27;2022-11-17 22:46:13.500000&#x27;, &#x27;2022-11-29 22:46:13.500000&#x27;,\n",
+       "               &#x27;2022-12-11 22:46:13.500000&#x27;, &#x27;2022-12-23 22:46:12.500000&#x27;,\n",
+       "               &#x27;2023-01-04 22:46:11.500000&#x27;, &#x27;2023-01-16 22:46:10.500000&#x27;,\n",
+       "               &#x27;2023-01-28 22:46:11.500000&#x27;, &#x27;2023-02-09 22:46:10.500000&#x27;,\n",
+       "               &#x27;2023-02-21 22:46:09.500000&#x27;, &#x27;2023-03-05 22:46:10.500000&#x27;,\n",
+       "               &#x27;2023-03-17 22:46:10.500000&#x27;, &#x27;2023-03-29 22:46:10.500000&#x27;,\n",
+       "               &#x27;2023-04-10 22:46:11.500000&#x27;, &#x27;2023-04-22 22:46:11.500000&#x27;,\n",
+       "               &#x27;2023-05-04 22:46:11.500000&#x27;, &#x27;2023-05-17 11:11:32.500000&#x27;,\n",
+       "               &#x27;2023-05-29 11:11:32.500000&#x27;, &#x27;2023-06-10 11:11:28.500000&#x27;,\n",
+       "               &#x27;2023-06-21 22:46:13.500000&#x27;, &#x27;2023-07-04 11:11:34.500000&#x27;,\n",
+       "               &#x27;2023-07-16 11:11:35.500000&#x27;, &#x27;2023-07-28 11:11:36.500000&#x27;,\n",
+       "               &#x27;2023-08-08 22:46:16.500000&#x27;, &#x27;2023-08-20 22:46:17.500000&#x27;,\n",
+       "               &#x27;2023-09-01 22:46:18.500000&#x27;, &#x27;2023-09-13 22:46:18.500000&#x27;,\n",
+       "               &#x27;2023-09-25 22:46:19.500000&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a1e62476-abdc-4278-bfbb-2c248523948f' class='xr-index-data-in' type='checkbox'/><label for='index-a1e62476-abdc-4278-bfbb-2c248523948f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([1105735.0, 1105725.0, 1105715.0, 1105705.0, 1105695.0, 1105685.0,\n",
+       "              1105675.0, 1105665.0, 1105655.0, 1105645.0,\n",
+       "              ...\n",
+       "              1017095.0, 1017085.0, 1017075.0, 1017065.0, 1017055.0, 1017045.0,\n",
+       "              1017035.0, 1017025.0, 1017015.0, 1017005.0],\n",
+       "             dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=8874))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c7c1b6cd-d5bf-4ae1-a0eb-1ba5886a318d' class='xr-index-data-in' type='checkbox'/><label for='index-c7c1b6cd-d5bf-4ae1-a0eb-1ba5886a318d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([554795.0, 554805.0, 554815.0, 554825.0, 554835.0, 554845.0,\n",
+       "              554855.0, 554865.0, 554875.0, 554885.0,\n",
+       "              ...\n",
+       "              653715.0, 653725.0, 653735.0, 653745.0, 653755.0, 653765.0,\n",
+       "              653775.0, 653785.0, 653795.0, 653805.0],\n",
+       "             dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=9902))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0a4c7b2c-40d9-42c5-9c8d-52e053b31f94' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0a4c7b2c-40d9-42c5-9c8d-52e053b31f94' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>crs :</span></dt><dd>EPSG:32648</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 23GB\n",
+       "Dimensions:      (time: 33, y: 8874, x: 9902)\n",
+       "Coordinates:\n",
+       "  * time         (time) datetime64[ns] 264B 2022-09-06T22:46:14.500000 ... 20...\n",
+       "  * y            (y) float64 71kB 1.106e+06 1.106e+06 ... 1.017e+06 1.017e+06\n",
+       "  * x            (x) float64 79kB 5.548e+05 5.548e+05 ... 6.538e+05 6.538e+05\n",
+       "    spatial_ref  int32 4B 32648\n",
+       "Data variables:\n",
+       "    vv           (time, y, x) float32 12GB dask.array<chunksize=(1, 2048, 2048), meta=np.ndarray>\n",
+       "    vh           (time, y, x) float32 12GB dask.array<chunksize=(1, 2048, 2048), meta=np.ndarray>\n",
+       "Attributes:\n",
+       "    crs:           EPSG:32648\n",
+       "    grid_mapping:  spatial_ref"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<string>:6: FutureWarning: 'M' is deprecated and will be removed in a future version. Please use 'ME' instead of 'M'.\n",
+      "<string>:6: FutureWarning: 'M' is deprecated and will be removed in a future version. Please use 'ME' instead of 'M'.\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Load dữ liệu ảnh Sentinel 1\n",
+    "dsvh, dsvv = load_data_sen1(dc, date_range, coordinates)\n",
+    "average_vv = calculate_average(dsvv, time_pattern='1M')\n",
+    "average_vh = calculate_average(dsvh, time_pattern='1M')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "d2585562-88aa-4c7d-bf70-1f6affcf65d4",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "## cấu hình bộ dữ liệu điểm huấn luyện mô hình (train file)\n",
+    "train_path = \"train/ST_training data_updated_1130points_new.shp\"  # đường dẫn shp file train\n",
+    "\n",
+    "## load dữ liệu điểm huấn luyện mô hình (train file)\n",
+    "train = load_train_data(train_path)\n",
+    "train.head()\n",
+    "\n",
+    "# cấu hình nhãn dữ liệu \n",
+    "label_mapping = {\n",
+    "    \"Lua tom\": \"0\",\n",
+    "    \"Lua\": \"1\",\n",
+    "    \"CHN\": \"2\",\n",
+    "    \"CLN\": \"3\",\n",
+    "    \"TS\": \"4\",\n",
+    "    \"Song\": \"5\",\n",
+    "    \"Dat xay dung\": \"6\",\n",
+    "    \"Rung\": \"7\",\n",
+    "}\n",
+    "\n",
+    "# xây dựng tập dữ liệu (dataset) chứa dữ liệu VH, VV, NDVI\n",
+    "datasets = get_data_sen1_and_sen2(train, average_ndvi, average_vh, average_vv)\n",
+    "\n",
+    "# chia tập dữ liệu thành các phần theo tỉ lệ 80(80-20)-20 tương ứng với tập train, validate, test\n",
+    "X_train, X_val, X_test, y_train, y_val, y_test = split_train_data(\n",
+    "    train, label_mapping, datasets\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "2e955884-d4af-422d-a8e6-d436199540e0",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Best Parameters: {'classifier__criterion': 'entropy', 'classifier__max_depth': 15, 'classifier__n_estimators': 300}\n",
+      "Accuracy: 89.0 %\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Huấn luyện mô hình\n",
+    "grid_search = train_with_rf(X_train, X_val, y_train, y_val)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "b2a1e42c-cf1b-4d82-a6af-b06e3496918f",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy for test data 90.0 %\n"
+     ]
+    }
+   ],
+   "source": [
+    "# kiểm tra độ chính xác với tập test\n",
+    "y_pred_test = grid_search.predict(X_test)\n",
+    "test_accuracy = accuracy_score(y_test, y_pred_test)\n",
+    "print(f\"Accuracy for test data {round(test_accuracy, 2)*100} %\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "f1a14379-ed6e-4897-9ca4-2669743fab40",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Done!\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Lưu mô hình huấn luyện\n",
+    "save_model(\"model_odc.joblib\", grid_search)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "33dd516d-9824-499e-96b9-5cd9224c194c",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# đóng client, cluster\n",
+    "client.close()\n",
+    "cluster.close()"
+   ]
+  }
+ ],
+ "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": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/.vscode/settings.json b/.vscode/settings.json
new file mode 100644
index 0000000..e68b1f1
--- /dev/null
+++ b/.vscode/settings.json
@@ -0,0 +1,4 @@
+{
+    "python.defaultInterpreterPath": "/env/bin/python",
+    "python.envFile": "${workspaceFolder}/.env"
+}
diff --git a/01.train_ODC.ipynb b/01.train_ODC.ipynb
index c892162..baf4e6b 100644
--- a/01.train_ODC.ipynb
+++ b/01.train_ODC.ipynb
@@ -8,6 +8,30 @@
     "tags": []
    },
    "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<script type=\"esms-options\">{\"shimMode\": true}</script><style>*[data-root-id],\n",
+       "*[data-root-id] > * {\n",
+       "  box-sizing: border-box;\n",
+       "  font-family: var(--jp-ui-font-family);\n",
+       "  font-size: var(--jp-ui-font-size1);\n",
+       "  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
+       "}\n",
+       "\n",
+       "/* Override VSCode background color */\n",
+       ".cell-output-ipywidget-background:has(\n",
+       "    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
+       "  ),\n",
+       ".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "</style>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "data": {
       "application/javascript": [
@@ -16,12 +40,13 @@
        "    return new Date();\n",
        "  }\n",
        "\n",
-       "  var force = true;\n",
-       "  var py_version = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
-       "  var reloading = false;\n",
-       "  var Bokeh = root.Bokeh;\n",
+       "  const force = true;\n",
+       "  const py_version = '3.5.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
+       "  const reloading = false;\n",
+       "  const Bokeh = root.Bokeh;\n",
        "\n",
-       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n",
+       "  // Set a timeout for this load but only if we are not already initializing\n",
+       "  if (typeof (root._bokeh_timeout) === \"undefined\" || (force || !root._bokeh_is_initializing)) {\n",
        "    root._bokeh_timeout = Date.now() + 5000;\n",
        "    root._bokeh_failed_load = false;\n",
        "  }\n",
@@ -47,16 +72,14 @@
        "    root._bokeh_onload_callbacks.push(callback);\n",
        "\n",
        "    if (root._bokeh_is_loading > 0) {\n",
+       "      // Don't load bokeh if it is still initializing\n",
        "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
        "      return null;\n",
-       "    }\n",
-       "    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
+       "    } else if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
+       "      // There is nothing to load\n",
        "      run_callbacks();\n",
        "      return null;\n",
        "    }\n",
-       "    if (!reloading) {\n",
-       "      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
-       "    }\n",
        "\n",
        "    function on_load() {\n",
        "      root._bokeh_is_loading--;\n",
@@ -67,11 +90,12 @@
        "    }\n",
        "    window._bokeh_on_load = on_load\n",
        "\n",
-       "    function on_error() {\n",
-       "      console.error(\"failed to load \" + url);\n",
+       "    function on_error(e) {\n",
+       "      const src_el = e.srcElement\n",
+       "      console.error(\"failed to load \" + (src_el.href || src_el.src));\n",
        "    }\n",
        "\n",
-       "    var skip = [];\n",
+       "    const skip = [];\n",
        "    if (window.requirejs) {\n",
        "      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n",
        "      root._bokeh_is_loading = css_urls.length + 0;\n",
@@ -79,19 +103,20 @@
        "      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
        "    }\n",
        "\n",
-       "    var existing_stylesheets = []\n",
-       "    var links = document.getElementsByTagName('link')\n",
-       "    for (var i = 0; i < links.length; i++) {\n",
-       "      var link = links[i]\n",
+       "    const existing_stylesheets = []\n",
+       "    const links = document.getElementsByTagName('link')\n",
+       "    for (let i = 0; i < links.length; i++) {\n",
+       "      const link = links[i]\n",
        "      if (link.href != null) {\n",
-       "\texisting_stylesheets.push(link.href)\n",
+       "        existing_stylesheets.push(link.href)\n",
        "      }\n",
        "    }\n",
-       "    for (var i = 0; i < css_urls.length; i++) {\n",
-       "      var url = css_urls[i];\n",
-       "      if (existing_stylesheets.indexOf(url) !== -1) {\n",
-       "\ton_load()\n",
-       "\tcontinue;\n",
+       "    for (let i = 0; i < css_urls.length; i++) {\n",
+       "      const url = css_urls[i];\n",
+       "      const escaped = encodeURI(url)\n",
+       "      if (existing_stylesheets.indexOf(escaped) !== -1) {\n",
+       "        on_load()\n",
+       "        continue;\n",
        "      }\n",
        "      const element = document.createElement(\"link\");\n",
        "      element.onload = on_load;\n",
@@ -102,22 +127,23 @@
        "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
        "      document.body.appendChild(element);\n",
        "    }    var existing_scripts = []\n",
-       "    var scripts = document.getElementsByTagName('script')\n",
-       "    for (var i = 0; i < scripts.length; i++) {\n",
+       "    const scripts = document.getElementsByTagName('script')\n",
+       "    for (let i = 0; i < scripts.length; i++) {\n",
        "      var script = scripts[i]\n",
        "      if (script.src != null) {\n",
-       "\texisting_scripts.push(script.src)\n",
+       "        existing_scripts.push(script.src)\n",
        "      }\n",
        "    }\n",
-       "    for (var i = 0; i < js_urls.length; i++) {\n",
-       "      var url = js_urls[i];\n",
-       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
-       "\tif (!window.requirejs) {\n",
-       "\t  on_load();\n",
-       "\t}\n",
-       "\tcontinue;\n",
+       "    for (let i = 0; i < js_urls.length; i++) {\n",
+       "      const url = js_urls[i];\n",
+       "      const escaped = encodeURI(url)\n",
+       "      if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n",
+       "        if (!window.requirejs) {\n",
+       "          on_load();\n",
+       "        }\n",
+       "        continue;\n",
        "      }\n",
-       "      var element = document.createElement('script');\n",
+       "      const element = document.createElement('script');\n",
        "      element.onload = on_load;\n",
        "      element.onerror = on_error;\n",
        "      element.async = false;\n",
@@ -125,13 +151,14 @@
        "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
        "      document.head.appendChild(element);\n",
        "    }\n",
-       "    for (var i = 0; i < js_modules.length; i++) {\n",
-       "      var url = js_modules[i];\n",
-       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
-       "\tif (!window.requirejs) {\n",
-       "\t  on_load();\n",
-       "\t}\n",
-       "\tcontinue;\n",
+       "    for (let i = 0; i < js_modules.length; i++) {\n",
+       "      const url = js_modules[i];\n",
+       "      const escaped = encodeURI(url)\n",
+       "      if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n",
+       "        if (!window.requirejs) {\n",
+       "          on_load();\n",
+       "        }\n",
+       "        continue;\n",
        "      }\n",
        "      var element = document.createElement('script');\n",
        "      element.onload = on_load;\n",
@@ -143,12 +170,13 @@
        "      document.head.appendChild(element);\n",
        "    }\n",
        "    for (const name in js_exports) {\n",
-       "      var url = js_exports[name];\n",
-       "      if (skip.indexOf(url) >= 0 || root[name] != null) {\n",
-       "\tif (!window.requirejs) {\n",
-       "\t  on_load();\n",
-       "\t}\n",
-       "\tcontinue;\n",
+       "      const url = js_exports[name];\n",
+       "      const escaped = encodeURI(url)\n",
+       "      if (skip.indexOf(escaped) >= 0 || root[name] != null) {\n",
+       "        if (!window.requirejs) {\n",
+       "          on_load();\n",
+       "        }\n",
+       "        continue;\n",
        "      }\n",
        "      var element = document.createElement('script');\n",
        "      element.onerror = on_error;\n",
@@ -173,11 +201,11 @@
        "    document.body.appendChild(element);\n",
        "  }\n",
        "\n",
-       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.holoviz.org/panel/1.4.4/dist/panel.min.js\"];\n",
-       "  var js_modules = [];\n",
-       "  var js_exports = {};\n",
-       "  var css_urls = [];\n",
-       "  var inline_js = [    function(Bokeh) {\n",
+       "  const js_urls = [\"https://cdn.holoviz.org/panel/1.5.4/dist/bundled/reactiveesm/es-module-shims@^1.10.0/dist/es-module-shims.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-3.5.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.5.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.5.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.5.2.min.js\", \"https://cdn.holoviz.org/panel/1.5.4/dist/panel.min.js\"];\n",
+       "  const js_modules = [];\n",
+       "  const js_exports = {};\n",
+       "  const css_urls = [];\n",
+       "  const inline_js = [    function(Bokeh) {\n",
        "      Bokeh.set_log_level(\"info\");\n",
        "    },\n",
        "function(Bokeh) {} // ensure no trailing comma for IE\n",
@@ -185,26 +213,27 @@
        "\n",
        "  function run_inline_js() {\n",
        "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
-       "      for (var i = 0; i < inline_js.length; i++) {\n",
-       "\ttry {\n",
+       "      for (let i = 0; i < inline_js.length; i++) {\n",
+       "        try {\n",
        "          inline_js[i].call(root, root.Bokeh);\n",
-       "\t} catch(e) {\n",
-       "\t  if (!reloading) {\n",
-       "\t    throw e;\n",
-       "\t  }\n",
-       "\t}\n",
+       "        } catch(e) {\n",
+       "          if (!reloading) {\n",
+       "            throw e;\n",
+       "          }\n",
+       "        }\n",
        "      }\n",
        "      // Cache old bokeh versions\n",
        "      if (Bokeh != undefined && !reloading) {\n",
-       "\tvar NewBokeh = root.Bokeh;\n",
-       "\tif (Bokeh.versions === undefined) {\n",
-       "\t  Bokeh.versions = new Map();\n",
-       "\t}\n",
-       "\tif (NewBokeh.version !== Bokeh.version) {\n",
-       "\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
-       "\t}\n",
-       "\troot.Bokeh = Bokeh;\n",
-       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
+       "        var NewBokeh = root.Bokeh;\n",
+       "        if (Bokeh.versions === undefined) {\n",
+       "          Bokeh.versions = new Map();\n",
+       "        }\n",
+       "        if (NewBokeh.version !== Bokeh.version) {\n",
+       "          Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
+       "        }\n",
+       "        root.Bokeh = Bokeh;\n",
+       "      }\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",
@@ -222,8 +251,12 @@
        "    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
        "    // before older versions are fully initialized.\n",
        "    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
+       "      // If the timeout and bokeh was not successfully loaded we reset\n",
+       "      // everything and try loading again\n",
+       "      root._bokeh_timeout = Date.now() + 5000;\n",
        "      root._bokeh_is_initializing = false;\n",
        "      root._bokeh_onload_callbacks = undefined;\n",
+       "      root._bokeh_is_loading = 0\n",
        "      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
        "      load_or_wait();\n",
        "    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
@@ -231,13 +264,16 @@
        "    } else {\n",
        "      root._bokeh_is_initializing = true\n",
        "      root._bokeh_onload_callbacks = []\n",
-       "      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
+       "      const bokeh_loaded = root.Bokeh != null && (root.Bokeh.version === py_version || (root.Bokeh.versions !== undefined && root.Bokeh.versions.has(py_version)));\n",
        "      if (!reloading && !bokeh_loaded) {\n",
-       "\troot.Bokeh = undefined;\n",
+       "        if (root.Bokeh) {\n",
+       "          root.Bokeh = undefined;\n",
+       "        }\n",
+       "        console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
        "      }\n",
        "      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
-       "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
-       "\trun_inline_js();\n",
+       "        console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
+       "        run_inline_js();\n",
        "      });\n",
        "    }\n",
        "  }\n",
@@ -246,7 +282,7 @@
        "  setTimeout(load_or_wait, 100)\n",
        "}(window));"
       ],
-      "application/vnd.holoviews_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n  var py_version = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  var reloading = false;\n  var Bokeh = root.Bokeh;\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\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, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\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.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      run_callbacks();\n      return null;\n    }\n    if (!reloading) {\n      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    }\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    window._bokeh_on_load = on_load\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n      root._bokeh_is_loading = css_urls.length + 0;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    var existing_stylesheets = []\n    var links = document.getElementsByTagName('link')\n    for (var i = 0; i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\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    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\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      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\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      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\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  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.holoviz.org/panel/1.4.4/dist/panel.min.js\"];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n          inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t  if (!reloading) {\n\t    throw e;\n\t  }\n\t}\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\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    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
+      "application/vnd.holoviews_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n  const py_version = '3.5.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  const reloading = false;\n  const Bokeh = root.Bokeh;\n\n  // Set a timeout for this load but only if we are not already initializing\n  if (typeof (root._bokeh_timeout) === \"undefined\" || (force || !root._bokeh_is_initializing)) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\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, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\n    if (root._bokeh_is_loading > 0) {\n      // Don't load bokeh if it is still initializing\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    } else if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      // There is nothing to load\n      run_callbacks();\n      return null;\n    }\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    window._bokeh_on_load = on_load\n\n    function on_error(e) {\n      const src_el = e.srcElement\n      console.error(\"failed to load \" + (src_el.href || src_el.src));\n    }\n\n    const skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n      root._bokeh_is_loading = css_urls.length + 0;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    const existing_stylesheets = []\n    const links = document.getElementsByTagName('link')\n    for (let i = 0; i < links.length; i++) {\n      const link = links[i]\n      if (link.href != null) {\n        existing_stylesheets.push(link.href)\n      }\n    }\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const escaped = encodeURI(url)\n      if (existing_stylesheets.indexOf(escaped) !== -1) {\n        on_load()\n        continue;\n      }\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    }    var existing_scripts = []\n    const scripts = document.getElementsByTagName('script')\n    for (let i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n        existing_scripts.push(script.src)\n      }\n    }\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const escaped = encodeURI(url)\n      if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n        if (!window.requirejs) {\n          on_load();\n        }\n        continue;\n      }\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\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    for (let i = 0; i < js_modules.length; i++) {\n      const url = js_modules[i];\n      const escaped = encodeURI(url)\n      if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n        if (!window.requirejs) {\n          on_load();\n        }\n        continue;\n      }\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      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      const url = js_exports[name];\n      const escaped = encodeURI(url)\n      if (skip.indexOf(escaped) >= 0 || root[name] != null) {\n        if (!window.requirejs) {\n          on_load();\n        }\n        continue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\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.holoviz.org/panel/1.5.4/dist/bundled/reactiveesm/es-module-shims@^1.10.0/dist/es-module-shims.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-3.5.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.5.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.5.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.5.2.min.js\", \"https://cdn.holoviz.org/panel/1.5.4/dist/panel.min.js\"];\n  const js_modules = [];\n  const js_exports = {};\n  const css_urls = [];\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\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        try {\n          inline_js[i].call(root, root.Bokeh);\n        } catch(e) {\n          if (!reloading) {\n            throw e;\n          }\n        }\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n        var NewBokeh = root.Bokeh;\n        if (Bokeh.versions === undefined) {\n          Bokeh.versions = new Map();\n        }\n        if (NewBokeh.version !== Bokeh.version) {\n          Bokeh.versions.set(NewBokeh.version, NewBokeh)\n        }\n        root.Bokeh = Bokeh;\n      }\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    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      // If the timeout and bokeh was not successfully loaded we reset\n      // everything and try loading again\n      root._bokeh_timeout = Date.now() + 5000;\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      root._bokeh_is_loading = 0\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      const bokeh_loaded = root.Bokeh != null && (root.Bokeh.version === py_version || (root.Bokeh.versions !== undefined && root.Bokeh.versions.has(py_version)));\n      if (!reloading && !bokeh_loaded) {\n        if (root.Bokeh) {\n          root.Bokeh = undefined;\n        }\n        console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n        console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n        run_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -499,40 +535,16 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "data": {
-      "text/html": [
-       "<style>*[data-root-id],\n",
-       "*[data-root-id] > * {\n",
-       "  box-sizing: border-box;\n",
-       "  font-family: var(--jp-ui-font-family);\n",
-       "  font-size: var(--jp-ui-font-size1);\n",
-       "  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
-       "}\n",
-       "\n",
-       "/* Override VSCode background color */\n",
-       ".cell-output-ipywidget-background:has(\n",
-       "    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
-       "  ),\n",
-       ".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
-       "  background-color: transparent !important;\n",
-       "}\n",
-       "</style>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "data": {
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
-       "<div id='p1002'>\n",
-       "  <div id=\"e0121a67-9c59-4a98-b8c6-3476833768e6\" data-root-id=\"p1002\" style=\"display: contents;\"></div>\n",
+       "<div id='90a494b6-44b1-450c-aff5-9e55565daa8e'>\n",
+       "  <div id=\"c9b8b40b-2ff2-4b6f-a51f-eb2a18ffe5e8\" data-root-id=\"90a494b6-44b1-450c-aff5-9e55565daa8e\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"87f4326b-5234-442b-972d-c2facfa07de7\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"p1002\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"p1003\",\"attributes\":{\"plot_id\":\"p1002\",\"comm_id\":\"4e316b7dc9ee4d24b33ce85f278a34f7\",\"client_comm_id\":\"c1d9b0ef859343b2ab155e76a0a8ad6d\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
-       "  var render_items = [{\"docid\":\"87f4326b-5234-442b-972d-c2facfa07de7\",\"roots\":{\"p1002\":\"e0121a67-9c59-4a98-b8c6-3476833768e6\"},\"root_ids\":[\"p1002\"]}];\n",
+       "  var docs_json = {\"dd5b5624-5ae4-412e-ac4c-f8895303d904\":{\"version\":\"3.5.2\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"90a494b6-44b1-450c-aff5-9e55565daa8e\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"a8c3fd10-2b7b-4c1e-862b-f6f339ef84f9\",\"attributes\":{\"plot_id\":\"90a494b6-44b1-450c-aff5-9e55565daa8e\",\"comm_id\":\"ef8ef17e38c84c1983831cbf0742ea08\",\"client_comm_id\":\"d72a2eb96bfc40159c22fb7f40ff2698\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"ReactiveESM1\",\"properties\":[{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"JSComponent1\",\"properties\":[{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"ReactComponent1\",\"properties\":[{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"AnyWidgetComponent1\",\"properties\":[{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"request_value1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"_synced\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_request_sync\",\"kind\":\"Any\",\"default\":0}]}]}};\n",
+       "  var render_items = [{\"docid\":\"dd5b5624-5ae4-412e-ac4c-f8895303d904\",\"roots\":{\"90a494b6-44b1-450c-aff5-9e55565daa8e\":\"c9b8b40b-2ff2-4b6f-a51f-eb2a18ffe5e8\"},\"root_ids\":[\"90a494b6-44b1-450c-aff5-9e55565daa8e\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
@@ -601,11 +613,35 @@
      },
      "metadata": {
       "application/vnd.holoviews_exec.v0+json": {
-       "id": "p1002"
+       "id": "90a494b6-44b1-450c-aff5-9e55565daa8e"
       }
      },
      "output_type": "display_data"
     },
+    {
+     "data": {
+      "text/html": [
+       "<script type=\"esms-options\">{\"shimMode\": true}</script><style>*[data-root-id],\n",
+       "*[data-root-id] > * {\n",
+       "  box-sizing: border-box;\n",
+       "  font-family: var(--jp-ui-font-family);\n",
+       "  font-size: var(--jp-ui-font-size1);\n",
+       "  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
+       "}\n",
+       "\n",
+       "/* Override VSCode background color */\n",
+       ".cell-output-ipywidget-background:has(\n",
+       "    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
+       "  ),\n",
+       ".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "</style>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "data": {
       "application/javascript": [
@@ -614,12 +650,13 @@
        "    return new Date();\n",
        "  }\n",
        "\n",
-       "  var force = true;\n",
-       "  var py_version = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
-       "  var reloading = true;\n",
-       "  var Bokeh = root.Bokeh;\n",
+       "  const force = false;\n",
+       "  const py_version = '3.5.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
+       "  const reloading = true;\n",
+       "  const Bokeh = root.Bokeh;\n",
        "\n",
-       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n",
+       "  // Set a timeout for this load but only if we are not already initializing\n",
+       "  if (typeof (root._bokeh_timeout) === \"undefined\" || (force || !root._bokeh_is_initializing)) {\n",
        "    root._bokeh_timeout = Date.now() + 5000;\n",
        "    root._bokeh_failed_load = false;\n",
        "  }\n",
@@ -645,16 +682,14 @@
        "    root._bokeh_onload_callbacks.push(callback);\n",
        "\n",
        "    if (root._bokeh_is_loading > 0) {\n",
+       "      // Don't load bokeh if it is still initializing\n",
        "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
        "      return null;\n",
-       "    }\n",
-       "    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
+       "    } else if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
+       "      // There is nothing to load\n",
        "      run_callbacks();\n",
        "      return null;\n",
        "    }\n",
-       "    if (!reloading) {\n",
-       "      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
-       "    }\n",
        "\n",
        "    function on_load() {\n",
        "      root._bokeh_is_loading--;\n",
@@ -665,11 +700,12 @@
        "    }\n",
        "    window._bokeh_on_load = on_load\n",
        "\n",
-       "    function on_error() {\n",
-       "      console.error(\"failed to load \" + url);\n",
+       "    function on_error(e) {\n",
+       "      const src_el = e.srcElement\n",
+       "      console.error(\"failed to load \" + (src_el.href || src_el.src));\n",
        "    }\n",
        "\n",
-       "    var skip = [];\n",
+       "    const skip = [];\n",
        "    if (window.requirejs) {\n",
        "      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n",
        "      root._bokeh_is_loading = css_urls.length + 0;\n",
@@ -677,19 +713,20 @@
        "      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
        "    }\n",
        "\n",
-       "    var existing_stylesheets = []\n",
-       "    var links = document.getElementsByTagName('link')\n",
-       "    for (var i = 0; i < links.length; i++) {\n",
-       "      var link = links[i]\n",
+       "    const existing_stylesheets = []\n",
+       "    const links = document.getElementsByTagName('link')\n",
+       "    for (let i = 0; i < links.length; i++) {\n",
+       "      const link = links[i]\n",
        "      if (link.href != null) {\n",
-       "\texisting_stylesheets.push(link.href)\n",
+       "        existing_stylesheets.push(link.href)\n",
        "      }\n",
        "    }\n",
-       "    for (var i = 0; i < css_urls.length; i++) {\n",
-       "      var url = css_urls[i];\n",
-       "      if (existing_stylesheets.indexOf(url) !== -1) {\n",
-       "\ton_load()\n",
-       "\tcontinue;\n",
+       "    for (let i = 0; i < css_urls.length; i++) {\n",
+       "      const url = css_urls[i];\n",
+       "      const escaped = encodeURI(url)\n",
+       "      if (existing_stylesheets.indexOf(escaped) !== -1) {\n",
+       "        on_load()\n",
+       "        continue;\n",
        "      }\n",
        "      const element = document.createElement(\"link\");\n",
        "      element.onload = on_load;\n",
@@ -700,22 +737,23 @@
        "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
        "      document.body.appendChild(element);\n",
        "    }    var existing_scripts = []\n",
-       "    var scripts = document.getElementsByTagName('script')\n",
-       "    for (var i = 0; i < scripts.length; i++) {\n",
+       "    const scripts = document.getElementsByTagName('script')\n",
+       "    for (let i = 0; i < scripts.length; i++) {\n",
        "      var script = scripts[i]\n",
        "      if (script.src != null) {\n",
-       "\texisting_scripts.push(script.src)\n",
+       "        existing_scripts.push(script.src)\n",
        "      }\n",
        "    }\n",
-       "    for (var i = 0; i < js_urls.length; i++) {\n",
-       "      var url = js_urls[i];\n",
-       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
-       "\tif (!window.requirejs) {\n",
-       "\t  on_load();\n",
-       "\t}\n",
-       "\tcontinue;\n",
+       "    for (let i = 0; i < js_urls.length; i++) {\n",
+       "      const url = js_urls[i];\n",
+       "      const escaped = encodeURI(url)\n",
+       "      if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n",
+       "        if (!window.requirejs) {\n",
+       "          on_load();\n",
+       "        }\n",
+       "        continue;\n",
        "      }\n",
-       "      var element = document.createElement('script');\n",
+       "      const element = document.createElement('script');\n",
        "      element.onload = on_load;\n",
        "      element.onerror = on_error;\n",
        "      element.async = false;\n",
@@ -723,13 +761,14 @@
        "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
        "      document.head.appendChild(element);\n",
        "    }\n",
-       "    for (var i = 0; i < js_modules.length; i++) {\n",
-       "      var url = js_modules[i];\n",
-       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
-       "\tif (!window.requirejs) {\n",
-       "\t  on_load();\n",
-       "\t}\n",
-       "\tcontinue;\n",
+       "    for (let i = 0; i < js_modules.length; i++) {\n",
+       "      const url = js_modules[i];\n",
+       "      const escaped = encodeURI(url)\n",
+       "      if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n",
+       "        if (!window.requirejs) {\n",
+       "          on_load();\n",
+       "        }\n",
+       "        continue;\n",
        "      }\n",
        "      var element = document.createElement('script');\n",
        "      element.onload = on_load;\n",
@@ -741,12 +780,13 @@
        "      document.head.appendChild(element);\n",
        "    }\n",
        "    for (const name in js_exports) {\n",
-       "      var url = js_exports[name];\n",
-       "      if (skip.indexOf(url) >= 0 || root[name] != null) {\n",
-       "\tif (!window.requirejs) {\n",
-       "\t  on_load();\n",
-       "\t}\n",
-       "\tcontinue;\n",
+       "      const url = js_exports[name];\n",
+       "      const escaped = encodeURI(url)\n",
+       "      if (skip.indexOf(escaped) >= 0 || root[name] != null) {\n",
+       "        if (!window.requirejs) {\n",
+       "          on_load();\n",
+       "        }\n",
+       "        continue;\n",
        "      }\n",
        "      var element = document.createElement('script');\n",
        "      element.onerror = on_error;\n",
@@ -771,11 +811,11 @@
        "    document.body.appendChild(element);\n",
        "  }\n",
        "\n",
-       "  var js_urls = [];\n",
-       "  var js_modules = [];\n",
-       "  var js_exports = {};\n",
-       "  var css_urls = [];\n",
-       "  var inline_js = [    function(Bokeh) {\n",
+       "  const js_urls = [\"https://cdn.holoviz.org/panel/1.5.4/dist/bundled/reactiveesm/es-module-shims@^1.10.0/dist/es-module-shims.min.js\"];\n",
+       "  const js_modules = [];\n",
+       "  const js_exports = {};\n",
+       "  const css_urls = [];\n",
+       "  const inline_js = [    function(Bokeh) {\n",
        "      Bokeh.set_log_level(\"info\");\n",
        "    },\n",
        "function(Bokeh) {} // ensure no trailing comma for IE\n",
@@ -783,26 +823,27 @@
        "\n",
        "  function run_inline_js() {\n",
        "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
-       "      for (var i = 0; i < inline_js.length; i++) {\n",
-       "\ttry {\n",
+       "      for (let i = 0; i < inline_js.length; i++) {\n",
+       "        try {\n",
        "          inline_js[i].call(root, root.Bokeh);\n",
-       "\t} catch(e) {\n",
-       "\t  if (!reloading) {\n",
-       "\t    throw e;\n",
-       "\t  }\n",
-       "\t}\n",
+       "        } catch(e) {\n",
+       "          if (!reloading) {\n",
+       "            throw e;\n",
+       "          }\n",
+       "        }\n",
        "      }\n",
        "      // Cache old bokeh versions\n",
        "      if (Bokeh != undefined && !reloading) {\n",
-       "\tvar NewBokeh = root.Bokeh;\n",
-       "\tif (Bokeh.versions === undefined) {\n",
-       "\t  Bokeh.versions = new Map();\n",
-       "\t}\n",
-       "\tif (NewBokeh.version !== Bokeh.version) {\n",
-       "\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
-       "\t}\n",
-       "\troot.Bokeh = Bokeh;\n",
-       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
+       "        var NewBokeh = root.Bokeh;\n",
+       "        if (Bokeh.versions === undefined) {\n",
+       "          Bokeh.versions = new Map();\n",
+       "        }\n",
+       "        if (NewBokeh.version !== Bokeh.version) {\n",
+       "          Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
+       "        }\n",
+       "        root.Bokeh = Bokeh;\n",
+       "      }\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",
@@ -820,8 +861,12 @@
        "    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
        "    // before older versions are fully initialized.\n",
        "    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
+       "      // If the timeout and bokeh was not successfully loaded we reset\n",
+       "      // everything and try loading again\n",
+       "      root._bokeh_timeout = Date.now() + 5000;\n",
        "      root._bokeh_is_initializing = false;\n",
        "      root._bokeh_onload_callbacks = undefined;\n",
+       "      root._bokeh_is_loading = 0\n",
        "      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
        "      load_or_wait();\n",
        "    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
@@ -829,13 +874,16 @@
        "    } else {\n",
        "      root._bokeh_is_initializing = true\n",
        "      root._bokeh_onload_callbacks = []\n",
-       "      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
+       "      const bokeh_loaded = root.Bokeh != null && (root.Bokeh.version === py_version || (root.Bokeh.versions !== undefined && root.Bokeh.versions.has(py_version)));\n",
        "      if (!reloading && !bokeh_loaded) {\n",
-       "\troot.Bokeh = undefined;\n",
+       "        if (root.Bokeh) {\n",
+       "          root.Bokeh = undefined;\n",
+       "        }\n",
+       "        console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
        "      }\n",
        "      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
-       "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
-       "\trun_inline_js();\n",
+       "        console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
+       "        run_inline_js();\n",
        "      });\n",
        "    }\n",
        "  }\n",
@@ -844,7 +892,7 @@
        "  setTimeout(load_or_wait, 100)\n",
        "}(window));"
       ],
-      "application/vnd.holoviews_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n  var py_version = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  var reloading = true;\n  var Bokeh = root.Bokeh;\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\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, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\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.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      run_callbacks();\n      return null;\n    }\n    if (!reloading) {\n      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    }\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    window._bokeh_on_load = on_load\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n      root._bokeh_is_loading = css_urls.length + 0;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    var existing_stylesheets = []\n    var links = document.getElementsByTagName('link')\n    for (var i = 0; i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\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    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\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      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\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      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\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  var js_urls = [];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n          inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t  if (!reloading) {\n\t    throw e;\n\t  }\n\t}\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\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    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
+      "application/vnd.holoviews_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = false;\n  const py_version = '3.5.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  const reloading = true;\n  const Bokeh = root.Bokeh;\n\n  // Set a timeout for this load but only if we are not already initializing\n  if (typeof (root._bokeh_timeout) === \"undefined\" || (force || !root._bokeh_is_initializing)) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\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, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\n    if (root._bokeh_is_loading > 0) {\n      // Don't load bokeh if it is still initializing\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    } else if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      // There is nothing to load\n      run_callbacks();\n      return null;\n    }\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    window._bokeh_on_load = on_load\n\n    function on_error(e) {\n      const src_el = e.srcElement\n      console.error(\"failed to load \" + (src_el.href || src_el.src));\n    }\n\n    const skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n      root._bokeh_is_loading = css_urls.length + 0;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    const existing_stylesheets = []\n    const links = document.getElementsByTagName('link')\n    for (let i = 0; i < links.length; i++) {\n      const link = links[i]\n      if (link.href != null) {\n        existing_stylesheets.push(link.href)\n      }\n    }\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const escaped = encodeURI(url)\n      if (existing_stylesheets.indexOf(escaped) !== -1) {\n        on_load()\n        continue;\n      }\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    }    var existing_scripts = []\n    const scripts = document.getElementsByTagName('script')\n    for (let i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n        existing_scripts.push(script.src)\n      }\n    }\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const escaped = encodeURI(url)\n      if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n        if (!window.requirejs) {\n          on_load();\n        }\n        continue;\n      }\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\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    for (let i = 0; i < js_modules.length; i++) {\n      const url = js_modules[i];\n      const escaped = encodeURI(url)\n      if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n        if (!window.requirejs) {\n          on_load();\n        }\n        continue;\n      }\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      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      const url = js_exports[name];\n      const escaped = encodeURI(url)\n      if (skip.indexOf(escaped) >= 0 || root[name] != null) {\n        if (!window.requirejs) {\n          on_load();\n        }\n        continue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\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.holoviz.org/panel/1.5.4/dist/bundled/reactiveesm/es-module-shims@^1.10.0/dist/es-module-shims.min.js\"];\n  const js_modules = [];\n  const js_exports = {};\n  const css_urls = [];\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\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        try {\n          inline_js[i].call(root, root.Bokeh);\n        } catch(e) {\n          if (!reloading) {\n            throw e;\n          }\n        }\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n        var NewBokeh = root.Bokeh;\n        if (Bokeh.versions === undefined) {\n          Bokeh.versions = new Map();\n        }\n        if (NewBokeh.version !== Bokeh.version) {\n          Bokeh.versions.set(NewBokeh.version, NewBokeh)\n        }\n        root.Bokeh = Bokeh;\n      }\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    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      // If the timeout and bokeh was not successfully loaded we reset\n      // everything and try loading again\n      root._bokeh_timeout = Date.now() + 5000;\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      root._bokeh_is_loading = 0\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      const bokeh_loaded = root.Bokeh != null && (root.Bokeh.version === py_version || (root.Bokeh.versions !== undefined && root.Bokeh.versions.has(py_version)));\n      if (!reloading && !bokeh_loaded) {\n        if (root.Bokeh) {\n          root.Bokeh = undefined;\n        }\n        console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n        console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n        run_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -1100,7 +1148,7 @@
     {
      "data": {
       "text/html": [
-       "<style>*[data-root-id],\n",
+       "<script type=\"esms-options\">{\"shimMode\": true}</script><style>*[data-root-id],\n",
        "*[data-root-id] > * {\n",
        "  box-sizing: border-box;\n",
        "  font-family: var(--jp-ui-font-family);\n",
@@ -1129,12 +1177,13 @@
        "    return new Date();\n",
        "  }\n",
        "\n",
-       "  var force = true;\n",
-       "  var py_version = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
-       "  var reloading = true;\n",
-       "  var Bokeh = root.Bokeh;\n",
+       "  const force = false;\n",
+       "  const py_version = '3.5.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
+       "  const reloading = true;\n",
+       "  const Bokeh = root.Bokeh;\n",
        "\n",
-       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n",
+       "  // Set a timeout for this load but only if we are not already initializing\n",
+       "  if (typeof (root._bokeh_timeout) === \"undefined\" || (force || !root._bokeh_is_initializing)) {\n",
        "    root._bokeh_timeout = Date.now() + 5000;\n",
        "    root._bokeh_failed_load = false;\n",
        "  }\n",
@@ -1160,16 +1209,14 @@
        "    root._bokeh_onload_callbacks.push(callback);\n",
        "\n",
        "    if (root._bokeh_is_loading > 0) {\n",
+       "      // Don't load bokeh if it is still initializing\n",
        "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
        "      return null;\n",
-       "    }\n",
-       "    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
+       "    } else if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
+       "      // There is nothing to load\n",
        "      run_callbacks();\n",
        "      return null;\n",
        "    }\n",
-       "    if (!reloading) {\n",
-       "      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
-       "    }\n",
        "\n",
        "    function on_load() {\n",
        "      root._bokeh_is_loading--;\n",
@@ -1180,11 +1227,12 @@
        "    }\n",
        "    window._bokeh_on_load = on_load\n",
        "\n",
-       "    function on_error() {\n",
-       "      console.error(\"failed to load \" + url);\n",
+       "    function on_error(e) {\n",
+       "      const src_el = e.srcElement\n",
+       "      console.error(\"failed to load \" + (src_el.href || src_el.src));\n",
        "    }\n",
        "\n",
-       "    var skip = [];\n",
+       "    const skip = [];\n",
        "    if (window.requirejs) {\n",
        "      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n",
        "      root._bokeh_is_loading = css_urls.length + 0;\n",
@@ -1192,19 +1240,20 @@
        "      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
        "    }\n",
        "\n",
-       "    var existing_stylesheets = []\n",
-       "    var links = document.getElementsByTagName('link')\n",
-       "    for (var i = 0; i < links.length; i++) {\n",
-       "      var link = links[i]\n",
+       "    const existing_stylesheets = []\n",
+       "    const links = document.getElementsByTagName('link')\n",
+       "    for (let i = 0; i < links.length; i++) {\n",
+       "      const link = links[i]\n",
        "      if (link.href != null) {\n",
-       "\texisting_stylesheets.push(link.href)\n",
+       "        existing_stylesheets.push(link.href)\n",
        "      }\n",
        "    }\n",
-       "    for (var i = 0; i < css_urls.length; i++) {\n",
-       "      var url = css_urls[i];\n",
-       "      if (existing_stylesheets.indexOf(url) !== -1) {\n",
-       "\ton_load()\n",
-       "\tcontinue;\n",
+       "    for (let i = 0; i < css_urls.length; i++) {\n",
+       "      const url = css_urls[i];\n",
+       "      const escaped = encodeURI(url)\n",
+       "      if (existing_stylesheets.indexOf(escaped) !== -1) {\n",
+       "        on_load()\n",
+       "        continue;\n",
        "      }\n",
        "      const element = document.createElement(\"link\");\n",
        "      element.onload = on_load;\n",
@@ -1215,22 +1264,23 @@
        "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
        "      document.body.appendChild(element);\n",
        "    }    var existing_scripts = []\n",
-       "    var scripts = document.getElementsByTagName('script')\n",
-       "    for (var i = 0; i < scripts.length; i++) {\n",
+       "    const scripts = document.getElementsByTagName('script')\n",
+       "    for (let i = 0; i < scripts.length; i++) {\n",
        "      var script = scripts[i]\n",
        "      if (script.src != null) {\n",
-       "\texisting_scripts.push(script.src)\n",
+       "        existing_scripts.push(script.src)\n",
        "      }\n",
        "    }\n",
-       "    for (var i = 0; i < js_urls.length; i++) {\n",
-       "      var url = js_urls[i];\n",
-       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
-       "\tif (!window.requirejs) {\n",
-       "\t  on_load();\n",
-       "\t}\n",
-       "\tcontinue;\n",
+       "    for (let i = 0; i < js_urls.length; i++) {\n",
+       "      const url = js_urls[i];\n",
+       "      const escaped = encodeURI(url)\n",
+       "      if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n",
+       "        if (!window.requirejs) {\n",
+       "          on_load();\n",
+       "        }\n",
+       "        continue;\n",
        "      }\n",
-       "      var element = document.createElement('script');\n",
+       "      const element = document.createElement('script');\n",
        "      element.onload = on_load;\n",
        "      element.onerror = on_error;\n",
        "      element.async = false;\n",
@@ -1238,13 +1288,14 @@
        "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
        "      document.head.appendChild(element);\n",
        "    }\n",
-       "    for (var i = 0; i < js_modules.length; i++) {\n",
-       "      var url = js_modules[i];\n",
-       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
-       "\tif (!window.requirejs) {\n",
-       "\t  on_load();\n",
-       "\t}\n",
-       "\tcontinue;\n",
+       "    for (let i = 0; i < js_modules.length; i++) {\n",
+       "      const url = js_modules[i];\n",
+       "      const escaped = encodeURI(url)\n",
+       "      if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n",
+       "        if (!window.requirejs) {\n",
+       "          on_load();\n",
+       "        }\n",
+       "        continue;\n",
        "      }\n",
        "      var element = document.createElement('script');\n",
        "      element.onload = on_load;\n",
@@ -1256,12 +1307,13 @@
        "      document.head.appendChild(element);\n",
        "    }\n",
        "    for (const name in js_exports) {\n",
-       "      var url = js_exports[name];\n",
-       "      if (skip.indexOf(url) >= 0 || root[name] != null) {\n",
-       "\tif (!window.requirejs) {\n",
-       "\t  on_load();\n",
-       "\t}\n",
-       "\tcontinue;\n",
+       "      const url = js_exports[name];\n",
+       "      const escaped = encodeURI(url)\n",
+       "      if (skip.indexOf(escaped) >= 0 || root[name] != null) {\n",
+       "        if (!window.requirejs) {\n",
+       "          on_load();\n",
+       "        }\n",
+       "        continue;\n",
        "      }\n",
        "      var element = document.createElement('script');\n",
        "      element.onerror = on_error;\n",
@@ -1286,11 +1338,11 @@
        "    document.body.appendChild(element);\n",
        "  }\n",
        "\n",
-       "  var js_urls = [];\n",
-       "  var js_modules = [];\n",
-       "  var js_exports = {};\n",
-       "  var css_urls = [];\n",
-       "  var inline_js = [    function(Bokeh) {\n",
+       "  const js_urls = [\"https://cdn.holoviz.org/panel/1.5.4/dist/bundled/reactiveesm/es-module-shims@^1.10.0/dist/es-module-shims.min.js\"];\n",
+       "  const js_modules = [];\n",
+       "  const js_exports = {};\n",
+       "  const css_urls = [];\n",
+       "  const inline_js = [    function(Bokeh) {\n",
        "      Bokeh.set_log_level(\"info\");\n",
        "    },\n",
        "function(Bokeh) {} // ensure no trailing comma for IE\n",
@@ -1298,26 +1350,27 @@
        "\n",
        "  function run_inline_js() {\n",
        "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
-       "      for (var i = 0; i < inline_js.length; i++) {\n",
-       "\ttry {\n",
+       "      for (let i = 0; i < inline_js.length; i++) {\n",
+       "        try {\n",
        "          inline_js[i].call(root, root.Bokeh);\n",
-       "\t} catch(e) {\n",
-       "\t  if (!reloading) {\n",
-       "\t    throw e;\n",
-       "\t  }\n",
-       "\t}\n",
+       "        } catch(e) {\n",
+       "          if (!reloading) {\n",
+       "            throw e;\n",
+       "          }\n",
+       "        }\n",
        "      }\n",
        "      // Cache old bokeh versions\n",
        "      if (Bokeh != undefined && !reloading) {\n",
-       "\tvar NewBokeh = root.Bokeh;\n",
-       "\tif (Bokeh.versions === undefined) {\n",
-       "\t  Bokeh.versions = new Map();\n",
-       "\t}\n",
-       "\tif (NewBokeh.version !== Bokeh.version) {\n",
-       "\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
-       "\t}\n",
-       "\troot.Bokeh = Bokeh;\n",
-       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
+       "        var NewBokeh = root.Bokeh;\n",
+       "        if (Bokeh.versions === undefined) {\n",
+       "          Bokeh.versions = new Map();\n",
+       "        }\n",
+       "        if (NewBokeh.version !== Bokeh.version) {\n",
+       "          Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
+       "        }\n",
+       "        root.Bokeh = Bokeh;\n",
+       "      }\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",
@@ -1335,8 +1388,12 @@
        "    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
        "    // before older versions are fully initialized.\n",
        "    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
+       "      // If the timeout and bokeh was not successfully loaded we reset\n",
+       "      // everything and try loading again\n",
+       "      root._bokeh_timeout = Date.now() + 5000;\n",
        "      root._bokeh_is_initializing = false;\n",
        "      root._bokeh_onload_callbacks = undefined;\n",
+       "      root._bokeh_is_loading = 0\n",
        "      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
        "      load_or_wait();\n",
        "    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
@@ -1344,13 +1401,16 @@
        "    } else {\n",
        "      root._bokeh_is_initializing = true\n",
        "      root._bokeh_onload_callbacks = []\n",
-       "      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
+       "      const bokeh_loaded = root.Bokeh != null && (root.Bokeh.version === py_version || (root.Bokeh.versions !== undefined && root.Bokeh.versions.has(py_version)));\n",
        "      if (!reloading && !bokeh_loaded) {\n",
-       "\troot.Bokeh = undefined;\n",
+       "        if (root.Bokeh) {\n",
+       "          root.Bokeh = undefined;\n",
+       "        }\n",
+       "        console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
        "      }\n",
        "      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
-       "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
-       "\trun_inline_js();\n",
+       "        console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
+       "        run_inline_js();\n",
        "      });\n",
        "    }\n",
        "  }\n",
@@ -1359,7 +1419,7 @@
        "  setTimeout(load_or_wait, 100)\n",
        "}(window));"
       ],
-      "application/vnd.holoviews_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n  var py_version = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  var reloading = true;\n  var Bokeh = root.Bokeh;\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\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, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\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.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      run_callbacks();\n      return null;\n    }\n    if (!reloading) {\n      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    }\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    window._bokeh_on_load = on_load\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n      root._bokeh_is_loading = css_urls.length + 0;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    var existing_stylesheets = []\n    var links = document.getElementsByTagName('link')\n    for (var i = 0; i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\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    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\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      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\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      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\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  var js_urls = [];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n          inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t  if (!reloading) {\n\t    throw e;\n\t  }\n\t}\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\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    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
+      "application/vnd.holoviews_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = false;\n  const py_version = '3.5.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  const reloading = true;\n  const Bokeh = root.Bokeh;\n\n  // Set a timeout for this load but only if we are not already initializing\n  if (typeof (root._bokeh_timeout) === \"undefined\" || (force || !root._bokeh_is_initializing)) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\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, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\n    if (root._bokeh_is_loading > 0) {\n      // Don't load bokeh if it is still initializing\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    } else if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      // There is nothing to load\n      run_callbacks();\n      return null;\n    }\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    window._bokeh_on_load = on_load\n\n    function on_error(e) {\n      const src_el = e.srcElement\n      console.error(\"failed to load \" + (src_el.href || src_el.src));\n    }\n\n    const skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n      root._bokeh_is_loading = css_urls.length + 0;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    const existing_stylesheets = []\n    const links = document.getElementsByTagName('link')\n    for (let i = 0; i < links.length; i++) {\n      const link = links[i]\n      if (link.href != null) {\n        existing_stylesheets.push(link.href)\n      }\n    }\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const escaped = encodeURI(url)\n      if (existing_stylesheets.indexOf(escaped) !== -1) {\n        on_load()\n        continue;\n      }\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    }    var existing_scripts = []\n    const scripts = document.getElementsByTagName('script')\n    for (let i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n        existing_scripts.push(script.src)\n      }\n    }\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const escaped = encodeURI(url)\n      if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n        if (!window.requirejs) {\n          on_load();\n        }\n        continue;\n      }\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\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    for (let i = 0; i < js_modules.length; i++) {\n      const url = js_modules[i];\n      const escaped = encodeURI(url)\n      if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n        if (!window.requirejs) {\n          on_load();\n        }\n        continue;\n      }\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      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      const url = js_exports[name];\n      const escaped = encodeURI(url)\n      if (skip.indexOf(escaped) >= 0 || root[name] != null) {\n        if (!window.requirejs) {\n          on_load();\n        }\n        continue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\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.holoviz.org/panel/1.5.4/dist/bundled/reactiveesm/es-module-shims@^1.10.0/dist/es-module-shims.min.js\"];\n  const js_modules = [];\n  const js_exports = {};\n  const css_urls = [];\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\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        try {\n          inline_js[i].call(root, root.Bokeh);\n        } catch(e) {\n          if (!reloading) {\n            throw e;\n          }\n        }\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n        var NewBokeh = root.Bokeh;\n        if (Bokeh.versions === undefined) {\n          Bokeh.versions = new Map();\n        }\n        if (NewBokeh.version !== Bokeh.version) {\n          Bokeh.versions.set(NewBokeh.version, NewBokeh)\n        }\n        root.Bokeh = Bokeh;\n      }\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    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      // If the timeout and bokeh was not successfully loaded we reset\n      // everything and try loading again\n      root._bokeh_timeout = Date.now() + 5000;\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      root._bokeh_is_loading = 0\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      const bokeh_loaded = root.Bokeh != null && (root.Bokeh.version === py_version || (root.Bokeh.versions !== undefined && root.Bokeh.versions.has(py_version)));\n      if (!reloading && !bokeh_loaded) {\n        if (root.Bokeh) {\n          root.Bokeh = undefined;\n        }\n        console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n        console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n        run_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -1615,7 +1675,7 @@
     {
      "data": {
       "text/html": [
-       "<style>*[data-root-id],\n",
+       "<script type=\"esms-options\">{\"shimMode\": true}</script><style>*[data-root-id],\n",
        "*[data-root-id] > * {\n",
        "  box-sizing: border-box;\n",
        "  font-family: var(--jp-ui-font-family);\n",
@@ -1636,12 +1696,515 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "data": {
+      "application/javascript": [
+       "(function(root) {\n",
+       "  function now() {\n",
+       "    return new Date();\n",
+       "  }\n",
+       "\n",
+       "  const force = false;\n",
+       "  const py_version = '3.5.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
+       "  const reloading = true;\n",
+       "  const Bokeh = root.Bokeh;\n",
+       "\n",
+       "  // Set a timeout for this load but only if we are not already initializing\n",
+       "  if (typeof (root._bokeh_timeout) === \"undefined\" || (force || !root._bokeh_is_initializing)) {\n",
+       "    root._bokeh_timeout = Date.now() + 5000;\n",
+       "    root._bokeh_failed_load = false;\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, js_modules, js_exports, callback) {\n",
+       "    if (css_urls == null) css_urls = [];\n",
+       "    if (js_urls == null) js_urls = [];\n",
+       "    if (js_modules == null) js_modules = [];\n",
+       "    if (js_exports == null) js_exports = {};\n",
+       "\n",
+       "    root._bokeh_onload_callbacks.push(callback);\n",
+       "\n",
+       "    if (root._bokeh_is_loading > 0) {\n",
+       "      // Don't load bokeh if it is still initializing\n",
+       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
+       "      return null;\n",
+       "    } else if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
+       "      // There is nothing to load\n",
+       "      run_callbacks();\n",
+       "      return null;\n",
+       "    }\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",
+       "    window._bokeh_on_load = on_load\n",
+       "\n",
+       "    function on_error(e) {\n",
+       "      const src_el = e.srcElement\n",
+       "      console.error(\"failed to load \" + (src_el.href || src_el.src));\n",
+       "    }\n",
+       "\n",
+       "    const skip = [];\n",
+       "    if (window.requirejs) {\n",
+       "      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n",
+       "      root._bokeh_is_loading = css_urls.length + 0;\n",
+       "    } else {\n",
+       "      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
+       "    }\n",
+       "\n",
+       "    const existing_stylesheets = []\n",
+       "    const links = document.getElementsByTagName('link')\n",
+       "    for (let i = 0; i < links.length; i++) {\n",
+       "      const link = links[i]\n",
+       "      if (link.href != null) {\n",
+       "        existing_stylesheets.push(link.href)\n",
+       "      }\n",
+       "    }\n",
+       "    for (let i = 0; i < css_urls.length; i++) {\n",
+       "      const url = css_urls[i];\n",
+       "      const escaped = encodeURI(url)\n",
+       "      if (existing_stylesheets.indexOf(escaped) !== -1) {\n",
+       "        on_load()\n",
+       "        continue;\n",
+       "      }\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",
+       "    }    var existing_scripts = []\n",
+       "    const scripts = document.getElementsByTagName('script')\n",
+       "    for (let i = 0; i < scripts.length; i++) {\n",
+       "      var script = scripts[i]\n",
+       "      if (script.src != null) {\n",
+       "        existing_scripts.push(script.src)\n",
+       "      }\n",
+       "    }\n",
+       "    for (let i = 0; i < js_urls.length; i++) {\n",
+       "      const url = js_urls[i];\n",
+       "      const escaped = encodeURI(url)\n",
+       "      if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n",
+       "        if (!window.requirejs) {\n",
+       "          on_load();\n",
+       "        }\n",
+       "        continue;\n",
+       "      }\n",
+       "      const element = document.createElement('script');\n",
+       "      element.onload = on_load;\n",
+       "      element.onerror = on_error;\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",
+       "    for (let i = 0; i < js_modules.length; i++) {\n",
+       "      const url = js_modules[i];\n",
+       "      const escaped = encodeURI(url)\n",
+       "      if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n",
+       "        if (!window.requirejs) {\n",
+       "          on_load();\n",
+       "        }\n",
+       "        continue;\n",
+       "      }\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",
+       "      element.type = \"module\";\n",
+       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "      document.head.appendChild(element);\n",
+       "    }\n",
+       "    for (const name in js_exports) {\n",
+       "      const url = js_exports[name];\n",
+       "      const escaped = encodeURI(url)\n",
+       "      if (skip.indexOf(escaped) >= 0 || root[name] != null) {\n",
+       "        if (!window.requirejs) {\n",
+       "          on_load();\n",
+       "        }\n",
+       "        continue;\n",
+       "      }\n",
+       "      var element = document.createElement('script');\n",
+       "      element.onerror = on_error;\n",
+       "      element.async = false;\n",
+       "      element.type = \"module\";\n",
+       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "      element.textContent = `\n",
+       "      import ${name} from \"${url}\"\n",
+       "      window.${name} = ${name}\n",
+       "      window._bokeh_on_load()\n",
+       "      `\n",
+       "      document.head.appendChild(element);\n",
+       "    }\n",
+       "    if (!js_urls.length && !js_modules.length) {\n",
+       "      on_load()\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.holoviz.org/panel/1.5.4/dist/bundled/reactiveesm/es-module-shims@^1.10.0/dist/es-module-shims.min.js\"];\n",
+       "  const js_modules = [];\n",
+       "  const js_exports = {};\n",
+       "  const css_urls = [];\n",
+       "  const inline_js = [    function(Bokeh) {\n",
+       "      Bokeh.set_log_level(\"info\");\n",
+       "    },\n",
+       "function(Bokeh) {} // ensure no trailing comma for IE\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",
+       "        try {\n",
+       "          inline_js[i].call(root, root.Bokeh);\n",
+       "        } catch(e) {\n",
+       "          if (!reloading) {\n",
+       "            throw e;\n",
+       "          }\n",
+       "        }\n",
+       "      }\n",
+       "      // Cache old bokeh versions\n",
+       "      if (Bokeh != undefined && !reloading) {\n",
+       "        var NewBokeh = root.Bokeh;\n",
+       "        if (Bokeh.versions === undefined) {\n",
+       "          Bokeh.versions = new Map();\n",
+       "        }\n",
+       "        if (NewBokeh.version !== Bokeh.version) {\n",
+       "          Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
+       "        }\n",
+       "        root.Bokeh = Bokeh;\n",
+       "      }\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",
+       "    }\n",
+       "    root._bokeh_is_initializing = false\n",
+       "  }\n",
+       "\n",
+       "  function load_or_wait() {\n",
+       "    // Implement a backoff loop that tries to ensure we do not load multiple\n",
+       "    // versions of Bokeh and its dependencies at the same time.\n",
+       "    // In recent versions we use the root._bokeh_is_initializing flag\n",
+       "    // to determine whether there is an ongoing attempt to initialize\n",
+       "    // bokeh, however for backward compatibility we also try to ensure\n",
+       "    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
+       "    // before older versions are fully initialized.\n",
+       "    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
+       "      // If the timeout and bokeh was not successfully loaded we reset\n",
+       "      // everything and try loading again\n",
+       "      root._bokeh_timeout = Date.now() + 5000;\n",
+       "      root._bokeh_is_initializing = false;\n",
+       "      root._bokeh_onload_callbacks = undefined;\n",
+       "      root._bokeh_is_loading = 0\n",
+       "      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
+       "      load_or_wait();\n",
+       "    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
+       "      setTimeout(load_or_wait, 100);\n",
+       "    } else {\n",
+       "      root._bokeh_is_initializing = true\n",
+       "      root._bokeh_onload_callbacks = []\n",
+       "      const bokeh_loaded = root.Bokeh != null && (root.Bokeh.version === py_version || (root.Bokeh.versions !== undefined && root.Bokeh.versions.has(py_version)));\n",
+       "      if (!reloading && !bokeh_loaded) {\n",
+       "        if (root.Bokeh) {\n",
+       "          root.Bokeh = undefined;\n",
+       "        }\n",
+       "        console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
+       "      }\n",
+       "      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
+       "        console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
+       "        run_inline_js();\n",
+       "      });\n",
+       "    }\n",
+       "  }\n",
+       "  // Give older versions of the autoload script a head-start to ensure\n",
+       "  // they initialize before we start loading newer version.\n",
+       "  setTimeout(load_or_wait, 100)\n",
+       "}(window));"
+      ],
+      "application/vnd.holoviews_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = false;\n  const py_version = '3.5.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  const reloading = true;\n  const Bokeh = root.Bokeh;\n\n  // Set a timeout for this load but only if we are not already initializing\n  if (typeof (root._bokeh_timeout) === \"undefined\" || (force || !root._bokeh_is_initializing)) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\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, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\n    if (root._bokeh_is_loading > 0) {\n      // Don't load bokeh if it is still initializing\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    } else if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      // There is nothing to load\n      run_callbacks();\n      return null;\n    }\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    window._bokeh_on_load = on_load\n\n    function on_error(e) {\n      const src_el = e.srcElement\n      console.error(\"failed to load \" + (src_el.href || src_el.src));\n    }\n\n    const skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n      root._bokeh_is_loading = css_urls.length + 0;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    const existing_stylesheets = []\n    const links = document.getElementsByTagName('link')\n    for (let i = 0; i < links.length; i++) {\n      const link = links[i]\n      if (link.href != null) {\n        existing_stylesheets.push(link.href)\n      }\n    }\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const escaped = encodeURI(url)\n      if (existing_stylesheets.indexOf(escaped) !== -1) {\n        on_load()\n        continue;\n      }\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    }    var existing_scripts = []\n    const scripts = document.getElementsByTagName('script')\n    for (let i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n        existing_scripts.push(script.src)\n      }\n    }\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const escaped = encodeURI(url)\n      if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n        if (!window.requirejs) {\n          on_load();\n        }\n        continue;\n      }\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\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    for (let i = 0; i < js_modules.length; i++) {\n      const url = js_modules[i];\n      const escaped = encodeURI(url)\n      if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n        if (!window.requirejs) {\n          on_load();\n        }\n        continue;\n      }\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      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      const url = js_exports[name];\n      const escaped = encodeURI(url)\n      if (skip.indexOf(escaped) >= 0 || root[name] != null) {\n        if (!window.requirejs) {\n          on_load();\n        }\n        continue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\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.holoviz.org/panel/1.5.4/dist/bundled/reactiveesm/es-module-shims@^1.10.0/dist/es-module-shims.min.js\"];\n  const js_modules = [];\n  const js_exports = {};\n  const css_urls = [];\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\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        try {\n          inline_js[i].call(root, root.Bokeh);\n        } catch(e) {\n          if (!reloading) {\n            throw e;\n          }\n        }\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n        var NewBokeh = root.Bokeh;\n        if (Bokeh.versions === undefined) {\n          Bokeh.versions = new Map();\n        }\n        if (NewBokeh.version !== Bokeh.version) {\n          Bokeh.versions.set(NewBokeh.version, NewBokeh)\n        }\n        root.Bokeh = Bokeh;\n      }\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    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      // If the timeout and bokeh was not successfully loaded we reset\n      // everything and try loading again\n      root._bokeh_timeout = Date.now() + 5000;\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      root._bokeh_is_loading = 0\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      const bokeh_loaded = root.Bokeh != null && (root.Bokeh.version === py_version || (root.Bokeh.versions !== undefined && root.Bokeh.versions.has(py_version)));\n      if (!reloading && !bokeh_loaded) {\n        if (root.Bokeh) {\n          root.Bokeh = undefined;\n        }\n        console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n        console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n        run_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "\n",
+       "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n",
+       "  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n",
+       "}\n",
+       "\n",
+       "\n",
+       "    function JupyterCommManager() {\n",
+       "    }\n",
+       "\n",
+       "    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n",
+       "      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
+       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
+       "        comm_manager.register_target(comm_id, function(comm) {\n",
+       "          comm.on_msg(msg_handler);\n",
+       "        });\n",
+       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
+       "        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n",
+       "          comm.onMsg = msg_handler;\n",
+       "        });\n",
+       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
+       "        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n",
+       "          var messages = comm.messages[Symbol.asyncIterator]();\n",
+       "          function processIteratorResult(result) {\n",
+       "            var message = result.value;\n",
+       "            console.log(message)\n",
+       "            var content = {data: message.data, comm_id};\n",
+       "            var buffers = []\n",
+       "            for (var buffer of message.buffers || []) {\n",
+       "              buffers.push(new DataView(buffer))\n",
+       "            }\n",
+       "            var metadata = message.metadata || {};\n",
+       "            var msg = {content, buffers, metadata}\n",
+       "            msg_handler(msg);\n",
+       "            return messages.next().then(processIteratorResult);\n",
+       "          }\n",
+       "          return messages.next().then(processIteratorResult);\n",
+       "        })\n",
+       "      }\n",
+       "    }\n",
+       "\n",
+       "    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n",
+       "      if (comm_id in window.PyViz.comms) {\n",
+       "        return window.PyViz.comms[comm_id];\n",
+       "      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
+       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
+       "        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n",
+       "        if (msg_handler) {\n",
+       "          comm.on_msg(msg_handler);\n",
+       "        }\n",
+       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
+       "        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n",
+       "        comm.open();\n",
+       "        if (msg_handler) {\n",
+       "          comm.onMsg = msg_handler;\n",
+       "        }\n",
+       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
+       "        var comm_promise = google.colab.kernel.comms.open(comm_id)\n",
+       "        comm_promise.then((comm) => {\n",
+       "          window.PyViz.comms[comm_id] = comm;\n",
+       "          if (msg_handler) {\n",
+       "            var messages = comm.messages[Symbol.asyncIterator]();\n",
+       "            function processIteratorResult(result) {\n",
+       "              var message = result.value;\n",
+       "              var content = {data: message.data};\n",
+       "              var metadata = message.metadata || {comm_id};\n",
+       "              var msg = {content, metadata}\n",
+       "              msg_handler(msg);\n",
+       "              return messages.next().then(processIteratorResult);\n",
+       "            }\n",
+       "            return messages.next().then(processIteratorResult);\n",
+       "          }\n",
+       "        }) \n",
+       "        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n",
+       "          return comm_promise.then((comm) => {\n",
+       "            comm.send(data, metadata, buffers, disposeOnDone);\n",
+       "          });\n",
+       "        };\n",
+       "        var comm = {\n",
+       "          send: sendClosure\n",
+       "        };\n",
+       "      }\n",
+       "      window.PyViz.comms[comm_id] = comm;\n",
+       "      return comm;\n",
+       "    }\n",
+       "    window.PyViz.comm_manager = new JupyterCommManager();\n",
+       "    \n",
+       "\n",
+       "\n",
+       "var JS_MIME_TYPE = 'application/javascript';\n",
+       "var HTML_MIME_TYPE = 'text/html';\n",
+       "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
+       "var CLASS_NAME = 'output';\n",
+       "\n",
+       "/**\n",
+       " * Render data to the DOM node\n",
+       " */\n",
+       "function render(props, node) {\n",
+       "  var div = document.createElement(\"div\");\n",
+       "  var script = document.createElement(\"script\");\n",
+       "  node.appendChild(div);\n",
+       "  node.appendChild(script);\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle when a new output is added\n",
+       " */\n",
+       "function handle_add_output(event, handle) {\n",
+       "  var output_area = handle.output_area;\n",
+       "  var output = handle.output;\n",
+       "  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
+       "    return\n",
+       "  }\n",
+       "  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
+       "  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
+       "  if (id !== undefined) {\n",
+       "    var nchildren = toinsert.length;\n",
+       "    var html_node = toinsert[nchildren-1].children[0];\n",
+       "    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
+       "    var scripts = [];\n",
+       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
+       "    for (var i in nodelist) {\n",
+       "      if (nodelist.hasOwnProperty(i)) {\n",
+       "        scripts.push(nodelist[i])\n",
+       "      }\n",
+       "    }\n",
+       "\n",
+       "    scripts.forEach( function (oldScript) {\n",
+       "      var newScript = document.createElement(\"script\");\n",
+       "      var attrs = [];\n",
+       "      var nodemap = oldScript.attributes;\n",
+       "      for (var j in nodemap) {\n",
+       "        if (nodemap.hasOwnProperty(j)) {\n",
+       "          attrs.push(nodemap[j])\n",
+       "        }\n",
+       "      }\n",
+       "      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
+       "      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
+       "      oldScript.parentNode.replaceChild(newScript, oldScript);\n",
+       "    });\n",
+       "    if (JS_MIME_TYPE in output.data) {\n",
+       "      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
+       "    }\n",
+       "    output_area._hv_plot_id = id;\n",
+       "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
+       "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
+       "    } else {\n",
+       "      window.PyViz.plot_index[id] = null;\n",
+       "    }\n",
+       "  } else 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].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\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",
+       "/**\n",
+       " * Handle when an output is cleared or removed\n",
+       " */\n",
+       "function handle_clear_output(event, handle) {\n",
+       "  var id = handle.cell.output_area._hv_plot_id;\n",
+       "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
+       "  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
+       "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
+       "  if (server_id !== null) {\n",
+       "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
+       "    return;\n",
+       "  } else if (comm !== null) {\n",
+       "    comm.send({event_type: 'delete', 'id': id});\n",
+       "  }\n",
+       "  delete PyViz.plot_index[id];\n",
+       "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
+       "    var doc = window.Bokeh.index[id].model.document\n",
+       "    doc.clear();\n",
+       "    const i = window.Bokeh.documents.indexOf(doc);\n",
+       "    if (i > -1) {\n",
+       "      window.Bokeh.documents.splice(i, 1);\n",
+       "    }\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle kernel restart event\n",
+       " */\n",
+       "function handle_kernel_cleanup(event, handle) {\n",
+       "  delete PyViz.comms[\"hv-extension-comm\"];\n",
+       "  window.PyViz.plot_index = {}\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle update_display_data messages\n",
+       " */\n",
+       "function handle_update_output(event, handle) {\n",
+       "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
+       "  handle_add_output(event, handle)\n",
+       "}\n",
+       "\n",
+       "function register_renderer(events, OutputArea) {\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[0]);\n",
+       "    element.append(toinsert);\n",
+       "    return toinsert\n",
+       "  }\n",
+       "\n",
+       "  events.on('output_added.OutputArea', handle_add_output);\n",
+       "  events.on('output_updated.OutputArea', handle_update_output);\n",
+       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
+       "  events.on('delete.Cell', handle_clear_output);\n",
+       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
+       "\n",
+       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
+       "    safe: true,\n",
+       "    index: 0\n",
+       "  });\n",
+       "}\n",
+       "\n",
+       "if (window.Jupyter !== undefined) {\n",
+       "  try {\n",
+       "    var events = require('base/js/events');\n",
+       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
+       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
+       "      register_renderer(events, OutputArea);\n",
+       "    }\n",
+       "  } catch(err) {\n",
+       "  }\n",
+       "}\n"
+      ],
+      "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n  var div = document.createElement(\"div\");\n  var script = document.createElement(\"script\");\n  node.appendChild(div);\n  node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n  var output_area = handle.output_area;\n  var output = handle.output;\n  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n    return\n  }\n  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n  if (id !== undefined) {\n    var nchildren = toinsert.length;\n    var html_node = toinsert[nchildren-1].children[0];\n    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n    var scripts = [];\n    var nodelist = html_node.querySelectorAll(\"script\");\n    for (var i in nodelist) {\n      if (nodelist.hasOwnProperty(i)) {\n        scripts.push(nodelist[i])\n      }\n    }\n\n    scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else 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].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\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/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\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[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 8.65 s, sys: 6.03 s, total: 14.7 s\n",
-      "Wall time: 8.59 s\n"
+      "CPU times: user 11.7 s, sys: 1.62 s, total: 13.3 s\n",
+      "Wall time: 10.6 s\n"
      ]
     }
    ],
@@ -4411,7 +4974,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,