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    "# Land-atmosphere coupling indices & Observational Data Comparison\n",
    "This notebook takes in a series of CESM simulations, computes the land-atmosphere coupling index (CI; \n",
    "terrestrial leg only currently), and plots those seasonal means. <br>\n",
    "- Note: Built to use monthly output; ideally, CI should be based on daily data. \n",
    "- Optional: Comparison against FLUXNET obs\n",
    "<br><br>\n",
    "Notebook created by mdfowler@ucar.edu; Last update: 11 Dec 2024 "
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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));"
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       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
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      "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            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) && 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       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
       "  var docs_json = {\"fbc7b763-d24a-4f4e-813c-20f0ba6df53d\":{\"version\":\"3.7.3\",\"title\":\"Bokeh 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       "    if (root.Bokeh === undefined) {\n",
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       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
       "\treturn null\n",
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       "\t  var Bokeh = get_bokeh(root)\n",
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       "    }, 25, root)\n",
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     "output_type": "display_data"
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       "\n",
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       "      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",
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       "\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",
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       "    }\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",
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       "\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",
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       "      if (link.href != null) {\n",
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       "    }\n",
       "    for (let i = 0; i < css_urls.length; i++) {\n",
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       "      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",
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       "        }\n",
       "        continue;\n",
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       "      const element = document.createElement('script');\n",
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       "      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",
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       "      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/1.7.5/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 = '3.7.3'.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/1.7.5/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",
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       "\n",
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       "\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",
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       " * 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",
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       " */\n",
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       "  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",
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       "          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",
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       "  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",
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       " */\n",
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       "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
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       "  }\n",
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       "  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"
      ],
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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"
    }
   ],
   "source": [
    "import os\n",
    "import glob\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "from datetime import timedelta\n",
    "import pandas as pd\n",
    "import sys\n",
    "\n",
    "# Plotting utils\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "import uxarray as uxr"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "774bd269-ce50-4449-b32f-83246b74b73c",
   "metadata": {
    "editable": true,
    "papermill": {
     "duration": 0.003535,
     "end_time": "2025-10-28T23:29:29.634161",
     "exception": false,
     "start_time": "2025-10-28T23:29:29.630626",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "## 1. Modify this section for each run"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7f8f2d17-c653-4ad1-9dc3-c49bf836ceb6",
   "metadata": {
    "editable": true,
    "execution": {
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     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "parameters"
    ]
   },
   "outputs": [],
   "source": [
    "## - - - - - - - - - - - - - - - - - - - - - -\n",
    "##  Settings for case locations + names\n",
    "## - - - - - - - - - - - - - - - - - - - - - -\n",
    "## Where observations are stored\n",
    "# '/glade/campaign/cesm/development/cross-wg/diagnostic_framework/CUPiD_obs_data/lnd/analysis_datasets/ungridded/timeseries/FLUXNET2015/'\n",
    "obs_data_dir = \"\"\n",
    "obsDir = \"\"\n",
    "\n",
    "CESM_output_dir = os.path.join(\n",
    "    os.path.sep,\n",
    "    \"glade\",\n",
    "    \"campaign\",\n",
    "    \"cesm\",\n",
    "    \"development\",\n",
    "    \"cross-wg\",\n",
    "    \"diagnostic_framework\",\n",
    "    \"CESM_output_for_testing\",\n",
    ")\n",
    "\n",
    "ts_dir = None\n",
    "\n",
    "## Full casenames that are present in CESM_output_dir or ts_dir and in individual filenames\n",
    "# caseNames = [\n",
    "#             'b.e23_alpha16b.BLT1850.ne30_t232.054',\n",
    "# 'b.e30_beta02.BLT1850.ne30_t232.104',\n",
    "#             ]\n",
    "case_name = \"b.e30_beta02.BLT1850.ne30_t232.104\"\n",
    "\n",
    "# clmFile_h = '.h0.'\n",
    "\n",
    "start_date = \"0001-01-01\"\n",
    "end_date = \"0101-01-01\"\n",
    "\n",
    "## - - - - - - - - - - - - - - - - - - - - - -\n",
    "##  Optional settings for notebook\n",
    "## - - - - - - - - - - - - - - - - - - - - - -\n",
    "\n",
    "## If comparison against FLUXNET desired\n",
    "# fluxnet_comparison = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "be8e57c0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-10-28T23:29:29.655278Z",
     "iopub.status.busy": "2025-10-28T23:29:29.655168Z",
     "iopub.status.idle": "2025-10-28T23:29:29.660041Z",
     "shell.execute_reply": "2025-10-28T23:29:29.659757Z"
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     "exception": false,
     "start_time": "2025-10-28T23:29:29.651453",
     "status": "completed"
    },
    "tags": [
     "injected-parameters"
    ]
   },
   "outputs": [],
   "source": [
    "# Parameters\n",
    "case_name = \"b.e30_alpha07c_cesm.B1850C_LTso.ne30_t232_wgx3.232\"\n",
    "base_case_name = \"b.e30_alpha07c_cesm.B1850C_LTso.ne30_t232_wgx3.228\"\n",
    "CESM_output_dir = \"/glade/campaign/cesm/development/cross-wg/diagnostic_framework/CESM_output_for_testing\"\n",
    "start_date = \"0001-01-01\"\n",
    "end_date = \"0021-01-01\"\n",
    "base_start_date = \"0001-01-01\"\n",
    "base_end_date = \"0045-01-01\"\n",
    "obs_data_dir = (\n",
    "    \"/glade/campaign/cesm/development/cross-wg/diagnostic_framework/CUPiD_obs_data\"\n",
    ")\n",
    "ts_dir = None\n",
    "lc_kwargs = {\"threads_per_worker\": 1}\n",
    "serial = False\n",
    "clmFile_h = \"clm2.h0a\"\n",
    "fluxnet_comparison = True\n",
    "obsDir = \"lnd/analysis_datasets/ungridded/timeseries/FLUXNET2015/\"\n",
    "subset_kwargs = {}\n",
    "product = \"/glade/work/richling/CUPid_pr_test/CUPiD/examples/key_metrics/computed_notebooks//lnd/Global_TerrestrialCouplingIndex_VisualCompareObs.ipynb\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5724aa30",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-10-28T23:29:29.668425Z",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Set some parameter defaults\n",
    "if ts_dir is None:\n",
    "    ts_dir = CESM_output_dir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0014712f-d094-4dae-b583-740bf7a9789c",
   "metadata": {
    "editable": true,
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     "shell.execute_reply": "2025-10-28T23:29:29.686164Z"
    },
    "papermill": {
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     "end_time": "2025-10-28T23:29:29.687278",
     "exception": false,
     "start_time": "2025-10-28T23:29:29.677004",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "## - - - - - - - - - - - - - - - - - - - - - -\n",
    "##  Settings for computing coupling index\n",
    "## - - - - - - - - - - - - - - - - - - - - - -\n",
    "\n",
    "# Set up directory for aux output like coupling index file\n",
    "if \"SCRATCH\" in os.environ:\n",
    "    cupid_temp = os.path.join(os.path.sep, os.environ[\"SCRATCH\"], \"CUPiD_scratch\")\n",
    "    os.makedirs(cupid_temp, exist_ok=True)\n",
    "else:\n",
    "    cupid_temp = \".\"\n",
    "\n",
    "startYrs = [start_date.split(\"-\")[0]]\n",
    "endYrs = [f\"{int(end_date.split('-')[0])-1:04d}\"]\n",
    "\n",
    "caseNames = [\n",
    "    case_name,\n",
    "    # base_case_name,\n",
    "]\n",
    "\n",
    "shortNames = [case.split(\".\")[-1] for case in caseNames]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d70024c7-0af2-48b9-9041-893f40e613ec",
   "metadata": {
    "papermill": {
     "duration": 0.003421,
     "end_time": "2025-10-28T23:29:29.694259",
     "exception": false,
     "start_time": "2025-10-28T23:29:29.690838",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 2. Read in model data and compute terrestrial coupling index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "304ce8d0-6aab-4fcb-9635-2a78e270f3c7",
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     "status": "completed"
    },
    "scrolled": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "Inputs: xname -- controlling variable \n",
    "        yname -- responding variable\n",
    "        ds    -- dataset containing xname and yname data \n",
    "        \n",
    "This is pulled almost directly from Ahmed Tawfik's CI code here: \n",
    "        https://github.com/abtawfik/coupling-metrics/blob/new_version_1/src/comet/metrics/coupling_indices.py \n",
    "\"\"\"\n",
    "\n",
    "\n",
    "def compute_couplingIndex_cesm(xname, yname, xDS, yDS):\n",
    "    xday = xDS[xname].groupby(\"time.season\")\n",
    "    yday = yDS[yname].groupby(\"time.season\")\n",
    "\n",
    "    # Get the covariance of the two (numerator in coupling index)\n",
    "    covarTerm = ((xday - xday.mean()) * (yday - yday.mean())).groupby(\n",
    "        \"time.season\"\n",
    "    ).sum() / xday.count()\n",
    "\n",
    "    # Now compute the actual coupling index\n",
    "    couplingIndex = covarTerm / xday.std()\n",
    "\n",
    "    return couplingIndex"
   ]
  },
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     "text": [
      "Using previously computed coupling index saved in file  /glade/derecho/scratch/richling/CUPiD_scratch/b.e30_alpha07c_cesm.B1850C_LTso.ne30_t232_wgx3.232_TerrestrialCouplingIndex_SHvsSM.nc\n"
     ]
    }
   ],
   "source": [
    "for iCase in range(len(caseNames)):\n",
    "    ## Check first if coupling index has already been created:\n",
    "    TCI_filePath = os.path.join(\n",
    "        cupid_temp, f\"{caseNames[iCase]}_TerrestrialCouplingIndex_SHvsSM.nc\"\n",
    "    )\n",
    "\n",
    "    if os.path.exists(TCI_filePath):  # Use previously computed TCI\n",
    "        print(\"Using previously computed coupling index saved in file \", TCI_filePath)\n",
    "    else:  # Compute TCI\n",
    "\n",
    "        # Get list of necessary time series files\n",
    "        soilWater_glob = f\"{caseNames[iCase]}.{clmFile_h}.SOILWATER_10CM.{startYrs[iCase]}??-{endYrs[iCase]}??.nc\"\n",
    "        soilWater_file = np.sort(\n",
    "            glob.glob(\n",
    "                os.path.join(\n",
    "                    ts_dir, caseNames[iCase], \"lnd\", \"proc\", \"tseries\", soilWater_glob\n",
    "                )\n",
    "            )\n",
    "        )\n",
    "        if len(soilWater_file) == 0:\n",
    "            raise ValueError(\"Soil moisture file not found!\")\n",
    "        elif len(soilWater_file) > 1:\n",
    "            raise ValueError(\n",
    "                \"More than one file matches requested time period and case for soil moisture.\"\n",
    "            )\n",
    "        elif len(soilWater_file) == 1:\n",
    "            soilWater_DS = xr.open_dataset(soilWater_file[0], decode_times=True)\n",
    "\n",
    "        sh_glob = f\"{caseNames[iCase]}.{clmFile_h}.FSH_TO_COUPLER.{startYrs[iCase]}??-{endYrs[iCase]}??.nc\"\n",
    "        sh_file = np.sort(\n",
    "            glob.glob(\n",
    "                os.path.join(\n",
    "                    ts_dir, caseNames[iCase], \"lnd\", \"proc\", \"tseries\", sh_glob\n",
    "                )\n",
    "            )\n",
    "        )\n",
    "        if len(sh_file) == 0:\n",
    "            raise ValueError(\"Land-based SHFLX file not found!\")\n",
    "        elif len(sh_file) > 1:\n",
    "            raise ValueError(\n",
    "                \"More than one file matches requested time period and case for SH.\"\n",
    "            )\n",
    "        elif len(sh_file) == 1:\n",
    "            shflx_DS = xr.open_dataset(sh_file[0])\n",
    "\n",
    "        # If years start at 0000, offset by 1700 years for analysis\n",
    "        yrOffset = 1850\n",
    "        if shflx_DS[\"time.year\"].values[0] < 1500:\n",
    "            shflx_DS[\"time\"] = shflx_DS.time + timedelta(days=yrOffset * 365)\n",
    "        if soilWater_DS[\"time.year\"].values[0] < 1500:\n",
    "            soilWater_DS[\"time\"] = soilWater_DS.time + timedelta(days=yrOffset * 365)\n",
    "        # Convert times to datetime for easier use\n",
    "        shflx_DS[\"time\"] = shflx_DS.indexes[\"time\"].to_datetimeindex()\n",
    "        soilWater_DS[\"time\"] = soilWater_DS.indexes[\"time\"].to_datetimeindex()\n",
    "\n",
    "        # Add case ID (short name) to the DS\n",
    "        shflx_DS = shflx_DS.assign_coords({\"case\": shortNames[iCase]})\n",
    "        soilWater_DS = soilWater_DS.assign_coords({\"case\": shortNames[iCase]})\n",
    "\n",
    "        ## Compute coupling index and save to netCDF file\n",
    "        ## - - - - - - - - - - - - - - - - - - - - - - - - -\n",
    "        xname = \"SOILWATER_10CM\"  # Controlling variable\n",
    "        yname = \"FSH_TO_COUPLER\"  # Responding variable\n",
    "\n",
    "        xDS = soilWater_DS\n",
    "        yDS = shflx_DS\n",
    "\n",
    "        couplingInd = compute_couplingIndex_cesm(xname, yname, xDS, yDS)\n",
    "        couplingInd.to_netcdf(TCI_filePath)\n",
    "        print(\"File created: \", TCI_filePath)"
   ]
  },
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   "source": [
    "### 2.1 Read in FLUXNET data if requested"
   ]
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   "source": [
    "# --------------------------------------------------------\n",
    "# Function to read requested variables from FLUXNET file.\n",
    "# - - - - - - - - - - - - - - - - - - - - - - - - - - - -\n",
    "#\n",
    "# Inputs:  fileName --> Full path to FLUXNET data file\n",
    "#          varNames --> An array of variable names to be\n",
    "#                       retrieved from said data file.\n",
    "#                       NOTE: If you wish to retrieve *all*\n",
    "#                       variables, pass the string 'ALL'.\n",
    "#\n",
    "# Outputs: fluxnetID --> ID string used to identify station\n",
    "#          fluxnetDS --> An x-array dataset containing the\n",
    "#                        requested variables.\n",
    "#                        Missing values will be set to NaN.\n",
    "#\n",
    "# --------------------------------------------------------\n",
    "\n",
    "\n",
    "def readFLUXNET_var(fileName, varNames):\n",
    "    # Get ID of station\n",
    "    startID = fileName.find(\"FLX_\")\n",
    "    fluxnetID = fileName[startID + 4 : startID + 10]\n",
    "\n",
    "    # If this is taking a long time or you just want to know where in the stations you are, uncomment print statement\n",
    "    # print('Reading in site - ', fluxnetID)\n",
    "\n",
    "    # Read in CSV file containing data\n",
    "    dataDF = pd.read_csv(fileName)\n",
    "\n",
    "    # Return ALL variables from dataDF if requested\n",
    "    if varNames == \"ALL\":\n",
    "        fluxnetDF = dataDF\n",
    "\n",
    "        # Set any value that's missing to NaN (not -9999)\n",
    "        fluxnetDF = fluxnetDF.replace(-9999, np.nan)\n",
    "\n",
    "        # If time has been requested, reformat to pandas date index\n",
    "        fluxnetDF[\"TIMESTAMP\"] = pd.to_datetime(\n",
    "            fluxnetDF[\"TIMESTAMP\"].values, format=\"%Y%m%d\"\n",
    "        )\n",
    "        fluxnetDF = fluxnetDF.set_index([\"TIMESTAMP\"])\n",
    "\n",
    "        # Convert dataframe to Xarray Dataset (required to use coupling metrics toolbox)\n",
    "        #   NOTE: since current implementation doesn't use the pre-formatted CoMeT, might not need this step now\n",
    "        fluxnetDS = fluxnetDF.to_xarray()\n",
    "\n",
    "    # Reduce returned DF to contain only variables of interest\n",
    "    else:\n",
    "\n",
    "        # Check that requested variables are available in specific file\n",
    "        errCount = 0  # Initialize flag for error\n",
    "        colNames = dataDF.columns.values  # Available variables in file\n",
    "\n",
    "        for iVar in range(len(varNames)):  # Check each variable individually\n",
    "            if (varNames[iVar] in colNames) == False:\n",
    "                # Turn on print statement for more verbose output\n",
    "                # print('** ERROR: %13s   not contained in file for %8s  **' %(varNames[iVar], fluxnetID))\n",
    "\n",
    "                # If any variable is not conatined in file, return a NaN\n",
    "                fluxnetDS = -999\n",
    "                errCount = errCount + 1\n",
    "\n",
    "        # If all the variables *are* available, isolate those in DF and return that\n",
    "        if errCount == 0:\n",
    "            fluxnetDF = dataDF[varNames]\n",
    "\n",
    "            # Set any value that's missing to NaN (not -999)\n",
    "            fluxnetDF = fluxnetDF.replace(-9999, np.nan)\n",
    "\n",
    "            # If time has been requested, reformat to pandas make index\n",
    "            if (\"TIMESTAMP\" in varNames) == True:\n",
    "                fluxnetDF[\"TIMESTAMP\"] = pd.to_datetime(\n",
    "                    fluxnetDF[\"TIMESTAMP\"].values, format=\"%Y%m%d\"\n",
    "                )\n",
    "                fluxnetDF = fluxnetDF.set_index([\"TIMESTAMP\"])\n",
    "\n",
    "            # Convert dataframe to Xarray Dataset (required to use coupling metrics toolbox)\n",
    "            fluxnetDS = fluxnetDF.to_xarray()\n",
    "\n",
    "    return (fluxnetID, fluxnetDS)\n",
    "\n",
    "\n",
    "\"\"\"\n",
    "Inputs: xname -- controlling variable \n",
    "        yname -- responding variable\n",
    "        ds    -- dataset containing xname and yname data \n",
    "        \n",
    "This is pulled almost directly from Ahmed Tawfik's CI code here: \n",
    "        https://github.com/abtawfik/coupling-metrics/blob/new_version_1/src/comet/metrics/coupling_indices.py \n",
    "\"\"\"\n",
    "\n",
    "\n",
    "def compute_couplingIndex_FLUXNET(xname, yname, ds):\n",
    "    xday = ds[xname].groupby(\"TIMESTAMP.season\")\n",
    "    yday = ds[yname].groupby(\"TIMESTAMP.season\")\n",
    "\n",
    "    # Get the covariance of the two (numerator in coupling index)\n",
    "    covarTerm = ((xday - xday.mean()) * (yday - yday.mean())).groupby(\n",
    "        \"TIMESTAMP.season\"\n",
    "    ).sum() / xday.count()\n",
    "\n",
    "    # Now compute the actual coupling index\n",
    "    couplingIndex = covarTerm / xday.std()\n",
    "\n",
    "    return couplingIndex"
   ]
  },
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   US-Prr\n",
      "No data for station:   US-Tw4\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   AU-Cum\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   ES-Ln2\n",
      "No data for station:   US-Ha1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   BR-Sa1\n",
      "No data for station:   FI-Lom\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   US-Cop\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   US-Atq\n",
      "No data for station:   US-Wi4\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   CZ-wet\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   GL-NuF\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   US-GBT\n",
      "No data for station:   US-Wi5\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   US-Los\n",
      "No data for station:   DE-Akm\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   NL-Hor\n",
      "No data for station:   US-Wi6\n",
      "No data for station:   BE-Bra\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   US-Ivo\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   DE-SfN\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   AR-Vir\n",
      "No data for station:   US-ORv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   US-Wi3\n",
      "No data for station:   CA-Obs\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   US-Wi2\n",
      "No data for station:   US-Wi9\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   DE-Spw\n",
      "No data for station:   FR-Pue\n",
      "No data for station:   US-Ne3\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   DE-RuS\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   DE-Zrk\n",
      "No data for station:   CA-Man\n",
      "No data for station:   US-Twt\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   US-Wi7\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   IT-La2\n",
      "No data for station:   US-Wi1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   US-Wi8\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   GL-ZaF\n",
      "No data for station:   US-Myb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   US-WPT\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   DE-RuR\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   FR-Fon\n",
      "No data for station:   US-Ne2\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   CG-Tch\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   RU-Che\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   US-Tw1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   RU-Cok\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   US-Wi0\n",
      "No data for station:   FI-Let\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for station:   SJ-Adv\n",
      "Number of FLUXNET stations with CI calculated: 150\n",
      "Minimum number of months used for JJA mean CI: 1 \n",
      "Maximum number of months used for JJA mean CI: 57 \n"
     ]
    }
   ],
   "source": [
    "if fluxnet_comparison == True:\n",
    "    ## Metadata files\n",
    "    siteInfoFile = os.path.join(obs_data_dir, obsDir, \"SiteList.csv\")\n",
    "    siteInfoDF = pd.read_csv(siteInfoFile)\n",
    "\n",
    "    metadataFile = os.path.join(\n",
    "        obs_data_dir,\n",
    "        obsDir,\n",
    "        \"FLX_AA-Flx_BIF_ALL_20200501/FLX_AA-Flx_BIF_DD_20200501.csv\",\n",
    "    )\n",
    "    metadataDF = pd.read_csv(metadataFile)\n",
    "\n",
    "    ## List of all station files\n",
    "    dataFiles = glob.glob(os.path.join(obs_data_dir, obsDir, \"FLX_*/*SUBSET_DD*\"))\n",
    "\n",
    "    # Set up a few empty arrays to save data into\n",
    "    terraCI_fluxnetConverted = np.full(\n",
    "        [len(dataFiles), 4], np.nan\n",
    "    )  # CI using kg/m2 soil water content  [nStations, seasons]\n",
    "\n",
    "    # Also save out some data on each station\n",
    "    startTime_fluxnet = np.zeros(len(dataFiles), dtype=\"datetime64[s]\")\n",
    "    endTime_fluxnet = np.zeros(len(dataFiles), dtype=\"datetime64[s]\")\n",
    "    lat_fluxnet = np.full([len(dataFiles)], np.nan)\n",
    "    lon_fluxnet = np.full([len(dataFiles)], np.nan)\n",
    "    SWCdepth = np.full([len(dataFiles)], np.nan)\n",
    "\n",
    "    stationID = []\n",
    "    stationID_converted = []\n",
    "\n",
    "    allStationID = []\n",
    "\n",
    "    # Variables I want returned:\n",
    "    varNames = [\"TIMESTAMP\", \"H_F_MDS\", \"SWC_F_MDS_1\", \"SWC_F_MDS_1_QC\"]\n",
    "\n",
    "    # Loop over each station (data file)\n",
    "    for iStation in range(len(dataFiles)):\n",
    "\n",
    "        # Read in data\n",
    "        # ----------------------------------------------------------\n",
    "        fluxnetID, fluxnetDS = readFLUXNET_var(dataFiles[iStation], varNames)\n",
    "\n",
    "        # Save lat and lon for this station\n",
    "        # ----------------------------------------------------------\n",
    "        indStation = int(np.where(fluxnetID == siteInfoDF[\"SITE_ID\"])[0][0])\n",
    "        lat_fluxnet[iStation] = siteInfoDF[\"LOCATION_LAT\"].values[indStation]\n",
    "        lon_fluxnet[iStation] = siteInfoDF[\"LOCATION_LONG\"].values[indStation]\n",
    "        allStationID.append(fluxnetID)\n",
    "\n",
    "        # Check that there was data saved for this particular site:\n",
    "        # ----------------------------------------------------------\n",
    "        if type(fluxnetDS) == int:\n",
    "            print(\"No data for station: %8s\" % fluxnetID)\n",
    "\n",
    "        elif (np.all(np.isnan(fluxnetDS[\"H_F_MDS\"])) == True) | (\n",
    "            np.all(np.isnan(fluxnetDS[\"SWC_F_MDS_1\"])) == True\n",
    "        ):\n",
    "            print(\"No data for station: %8s\" % fluxnetID)\n",
    "\n",
    "        # If data is present:\n",
    "        # ----------------------------------------------------------\n",
    "        else:\n",
    "            # Only consider where data is actually present for selected vars\n",
    "            iReal = np.where(\n",
    "                (np.isfinite(fluxnetDS[\"SWC_F_MDS_1\"]) == True)\n",
    "                & (np.isfinite(fluxnetDS[\"H_F_MDS\"]) == True)\n",
    "            )[0]\n",
    "            fluxnetDS = fluxnetDS.isel(TIMESTAMP=iReal)\n",
    "\n",
    "            stationID.append(fluxnetID)\n",
    "\n",
    "            # Convert units from volumetric (%) to mass (kg/m2)\n",
    "            # -------------------------------------------------\n",
    "            #   Step 1: Convert from % to fraction\n",
    "            fracSM = (fluxnetDS[\"SWC_F_MDS_1\"].values) / 100.0\n",
    "\n",
    "            #    Step 2: Need to use depth of obs in conversion\n",
    "            metaData_station = metadataDF[metadataDF.SITE_ID == fluxnetID]\n",
    "            iSWC = np.where(metaData_station.DATAVALUE == \"SWC_F_MDS_1\")[0]\n",
    "            #  Some locations (5) have two depths\n",
    "            if len(iSWC) > 1:\n",
    "                for iDepth in range(len(iSWC)):\n",
    "                    SWC_DF = metaData_station[iSWC[iDepth] : iSWC[iDepth] + 4]\n",
    "\n",
    "                    depth = np.asarray(\n",
    "                        SWC_DF[SWC_DF.VARIABLE == \"VAR_INFO_HEIGHT\"].DATAVALUE.values[0]\n",
    "                    ).astype(float)\n",
    "                    depthDay = np.asarray(\n",
    "                        SWC_DF[SWC_DF.VARIABLE == \"VAR_INFO_DATE\"].DATAVALUE.values[0]\n",
    "                    ).astype(int)\n",
    "                    depthDay = int(\n",
    "                        str(depthDay)[:8]\n",
    "                    )  # Some weird ones have time attached; don't want that\n",
    "                    depthDay = pd.to_datetime(depthDay, format=\"%Y%m%d\")\n",
    "\n",
    "                    # Keep deepest level as the depth for station\n",
    "                    if iDepth == 0:\n",
    "                        SWCdepth[iStation] = depth\n",
    "                        convertSM = fracSM * 1000.0 * np.abs(depth)\n",
    "                    else:\n",
    "                        # Use date as break point for getting kg/m2 SWC\n",
    "                        #  Eq: SWC_kgm2 = SWC_vol [m3/m3] * 1000 [kg/m3] * depth [m]\n",
    "                        dateArr = pd.DatetimeIndex(fluxnetDS.TIMESTAMP.values)\n",
    "                        iTime = int(np.where(dateArr == depthDay)[0][0])\n",
    "                        convertSM[iTime::] = (fracSM[iTime::]) * 1000.0 * np.abs(depth)\n",
    "\n",
    "                        # Keep deepest level as the depth for station\n",
    "                        if depth < SWCdepth[iStation]:\n",
    "                            SWCdepth[iStation] = depth\n",
    "\n",
    "                stationID_converted.append(fluxnetID)\n",
    "\n",
    "            # If station only has one level recorded, things are a bit easier:\n",
    "            else:\n",
    "                SWC_DF = metaData_station[iSWC[0] : iSWC[0] + 4]\n",
    "                SWCdepth[iStation] = np.asarray(\n",
    "                    SWC_DF[SWC_DF.VARIABLE == \"VAR_INFO_HEIGHT\"].DATAVALUE.values[0]\n",
    "                ).astype(float)\n",
    "                convertSM = fracSM * 1000.0 * np.abs(SWCdepth[iStation])\n",
    "\n",
    "                stationID_converted.append(fluxnetID)\n",
    "\n",
    "            # Save converted soil moisture to dataset\n",
    "            fluxnetDS[\"SWC_F_MDS_1_convert\"] = ((\"TIMESTAMP\"), convertSM)\n",
    "\n",
    "            # Save first and last time used for computing CI\n",
    "            # ----------------------------------------------\n",
    "            startTime_fluxnet[iStation] = fluxnetDS[\"TIMESTAMP\"].values[0]\n",
    "            endTime_fluxnet[iStation] = fluxnetDS[\"TIMESTAMP\"].values[-1]\n",
    "\n",
    "            # Compute terrestrial coupling metric\n",
    "            # -----------------------------------\n",
    "            terraLeg = compute_couplingIndex_FLUXNET(\n",
    "                \"SWC_F_MDS_1_convert\", \"H_F_MDS\", fluxnetDS\n",
    "            )\n",
    "\n",
    "            # If there's less than one full year of data, don't use station\n",
    "            #   (i.e., as long as all 4 seasons are defined, save values)\n",
    "            if np.shape(terraLeg)[0] == 4:\n",
    "                terraCI_fluxnetConverted[iStation, :] = terraLeg\n",
    "\n",
    "    seasons = terraLeg.season\n",
    "\n",
    "    ## Print some useful information\n",
    "    print(\n",
    "        \"Number of FLUXNET stations with CI calculated: %i\"\n",
    "        % len(np.where(np.isfinite(terraCI_fluxnetConverted[:, 1]) == True)[0])\n",
    "    )\n",
    "\n",
    "    # How many months go into each calculation of CI for JJA?\n",
    "    nMonths = np.full([len(dataFiles)], np.nan)\n",
    "\n",
    "    for iSt in range(len(dataFiles)):\n",
    "        if np.isfinite(terraCI_fluxnetConverted[iSt, 1]):\n",
    "            dateRange = pd.date_range(\n",
    "                start=startTime_fluxnet[iSt], end=endTime_fluxnet[iSt], freq=\"ME\"\n",
    "            )\n",
    "            nMonths[iSt] = len(\n",
    "                np.where((dateRange.month >= 6) & (dateRange.month <= 8))[0]\n",
    "            )\n",
    "\n",
    "    print(\n",
    "        \"Minimum number of months used for JJA mean CI: %i \" % int(np.nanmin(nMonths))\n",
    "    )\n",
    "    print(\n",
    "        \"Maximum number of months used for JJA mean CI: %i \" % int(np.nanmax(nMonths))\n",
    "    )"
   ]
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    "tags": []
   },
   "source": [
    "*Make some choices on limiting which stations are used*\n",
    "- Let's limit usage to depths less than 20 cm (arbitrary, but I don't want us using non-surface soil moisture for this application). This will eliminate 11 stations.\n",
    "- It would also be good to put some time limits on this. So let's say the observations need to have at least 9 months of data for JJA means (3-years). Otherwise, set terraCI to np.nan again so we don't use it."
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     "hide-input"
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of FLUXNET stations to use with reasonable depths of SWC: 139\n",
      "Number of FLUXNET stations to use with 3+ years of JJA data: 115\n"
     ]
    }
   ],
   "source": [
    "if fluxnet_comparison == True:\n",
    "\n",
    "    # Get stations with SWC from below 20 cm (or equal to zero)\n",
    "    iLimit = np.where((SWCdepth == 0.0) | (SWCdepth < -0.2))[0]\n",
    "\n",
    "    # Set the terrestrial leg of CI to missing so we don't consider those\n",
    "    terraCI_fluxnetConverted[iLimit, :] = np.nan\n",
    "\n",
    "    print(\n",
    "        \"Number of FLUXNET stations to use with reasonable depths of SWC: %i\"\n",
    "        % len(np.where(np.isfinite(terraCI_fluxnetConverted[:, 1]) == True)[0])\n",
    "    )\n",
    "\n",
    "    # Get stations with less than 9 months used for JJA terrestrial CI\n",
    "    iLimit = np.where(nMonths < 9)[0]\n",
    "\n",
    "    # Set to missing so we don't consider stations with less than three years of data going into the average\n",
    "    terraCI_fluxnetConverted[iLimit, :] = np.nan\n",
    "\n",
    "    print(\n",
    "        \"Number of FLUXNET stations to use with 3+ years of JJA data: %i\"\n",
    "        % len(np.where(np.isfinite(terraCI_fluxnetConverted[:, 1]) == True)[0])\n",
    "    )"
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   "source": [
    "## 3. Make plots"
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       ".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",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\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-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\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",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;uxarray.Grid&gt;\n",
       "Original Grid Type: ESMF\n",
       "Grid Dimensions:\n",
       "  * n_node: 48602\n",
       "  * n_face: 48600\n",
       "  * n_max_face_nodes: 4\n",
       "Grid Coordinates (Spherical):\n",
       "  * node_lon: (48602,)\n",
       "  * node_lat: (48602,)\n",
       "  * face_lon: (48600,)\n",
       "  * face_lat: (48600,)\n",
       "Grid Coordinates (Cartesian):\n",
       "Grid Connectivity Variables:\n",
       "  * face_node_connectivity: (48600, 4)\n",
       "Grid Descriptor Variables:\n",
       "  * n_nodes_per_face: (48600,)\n",
       "</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>uxarray.Grid</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ef270400-e35e-494b-b4e8-41bb5be7600b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ef270400-e35e-494b-b4e8-41bb5be7600b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>n_node</span>: 48602</li><li><span>n_face</span>: 48600</li><li><span>n_max_face_nodes</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8f556f75-d70b-4f9a-ac9e-a1355a5577ee' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8f556f75-d70b-4f9a-ac9e-a1355a5577ee' class='xr-section-summary' >Spherical 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>node_lon</span></div><div class='xr-var-dims'>(n_node)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-159.9 -162.3 ... 170.2 167.8</div><input id='attrs-1fce8d7f-dbdf-4a1a-bebf-caebe71b2654' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1fce8d7f-dbdf-4a1a-bebf-caebe71b2654' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8901f8c-61b2-4930-b7a4-30526a64c69a' class='xr-var-data-in' type='checkbox'><label for='data-d8901f8c-61b2-4930-b7a4-30526a64c69a' 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'><pre>array([-159.89124086, -162.26235981, -164.68737511, ...,  172.60921368,\n",
       "        170.18081007,  167.78169785], shape=(48602,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>node_lat</span></div><div class='xr-var-dims'>(n_node)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f34c8269-ccad-4244-9669-568bb0c70e7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f34c8269-ccad-4244-9669-568bb0c70e7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-926c8699-fd19-4d96-a5fd-7da5483a7459' class='xr-var-data-in' type='checkbox'><label for='data-926c8699-fd19-4d96-a5fd-7da5483a7459' 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>standard_name :</span></dt><dd>latitude</dd><dt><span>long name :</span></dt><dd>Latitude of the corner nodes of each face</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[48602 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>face_lon</span></div><div class='xr-var-dims'>(n_face)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-44.5 -43.5 -42.5 ... 136.0 135.0</div><input id='attrs-049f2c0e-c465-4593-bd18-c4fdc668f6c7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-049f2c0e-c465-4593-bd18-c4fdc668f6c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f87e4156-a382-4bb0-a5e1-bb7886d681c4' class='xr-var-data-in' type='checkbox'><label for='data-f87e4156-a382-4bb0-a5e1-bb7886d681c4' 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'><pre>array([-44.5       , -43.5       , -42.5       , ..., 137.00152343,\n",
       "       136.00045705, 135.        ], shape=(48600,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>face_lat</span></div><div class='xr-var-dims'>(n_face)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-575a1158-d560-401e-ab68-92ac6ec1bfe3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-575a1158-d560-401e-ab68-92ac6ec1bfe3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2c0b871-0ed6-46f4-b014-610abe8c2c51' class='xr-var-data-in' type='checkbox'><label for='data-d2c0b871-0ed6-46f4-b014-610abe8c2c51' 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>standard_name :</span></dt><dd>latitude</dd><dt><span>long name :</span></dt><dd>Latitude of the center of each face</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[48600 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4ef626a1-0719-4921-bb35-4950fb037e28' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4ef626a1-0719-4921-bb35-4950fb037e28' class='xr-section-summary'  title='Expand/collapse section'>Cartesian Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-4b9b6066-3114-44c9-a904-f46ca75986c3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4b9b6066-3114-44c9-a904-f46ca75986c3' class='xr-section-summary' >Connectivity: <span>(1)</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>face_node_connectivity</span></div><div class='xr-var-dims'>(n_face, n_max_face_nodes)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>6985 6986 6987 ... 36983 38576</div><input id='attrs-10b5c71a-0e00-4aa5-afe0-5c6de22f926a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10b5c71a-0e00-4aa5-afe0-5c6de22f926a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90cfd6db-0f46-43a9-96f5-520f007a4b12' class='xr-var-data-in' type='checkbox'><label for='data-90cfd6db-0f46-43a9-96f5-520f007a4b12' 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>cf_role :</span></dt><dd>face_node_connectivity</dd><dt><span>long name :</span></dt><dd>Maps every face to its corner nodes.</dd><dt><span>start_index :</span></dt><dd>0</dd><dt><span>_FillValue :</span></dt><dd>-9223372036854775808</dd></dl></div><div class='xr-var-data'><pre>array([[ 6985,  6986,  6987,  6988],\n",
       "       [ 6986,  6989,  6990,  6987],\n",
       "       [ 6989,  6991,  6992,  6990],\n",
       "       ...,\n",
       "       [41616, 41619, 38577, 38578],\n",
       "       [41619, 41620, 38576, 38577],\n",
       "       [41620, 36982, 36983, 38576]], shape=(48600, 4))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-141f2bcf-e6db-45fb-a25b-c1588ce6a566' class='xr-section-summary-in' type='checkbox'  checked><label for='section-141f2bcf-e6db-45fb-a25b-c1588ce6a566' class='xr-section-summary' >Descriptors: <span>(1)</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>n_nodes_per_face</span></div><div class='xr-var-dims'>(n_face)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>4 4 4 4 4 4 4 4 ... 4 4 4 4 4 4 4 4</div><input id='attrs-7d359e81-d779-4196-8db1-76437f0722e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d359e81-d779-4196-8db1-76437f0722e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-746894b5-4c72-4051-9a57-738c279b4024' class='xr-var-data-in' type='checkbox'><label for='data-746894b5-4c72-4051-9a57-738c279b4024' 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>cf_role :</span></dt><dd>n_nodes_per_face</dd><dt><span>long name :</span></dt><dd>Number of nodes per face</dd></dl></div><div class='xr-var-data'><pre>array([4, 4, 4, ..., 4, 4, 4], shape=(48600,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-48932983-675e-4b0d-bdad-e3e78a4c6f3d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-48932983-675e-4b0d-bdad-e3e78a4c6f3d' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>source_grid_spec :</span></dt><dd>ESMF</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<uxarray.Grid>\n",
       "Original Grid Type: ESMF\n",
       "Grid Dimensions:\n",
       "  * n_node: 48602\n",
       "  * n_face: 48600\n",
       "  * n_max_face_nodes: 4\n",
       "Grid Coordinates (Spherical):\n",
       "  * node_lon: (48602,)\n",
       "  * node_lat: (48602,)\n",
       "  * face_lon: (48600,)\n",
       "  * face_lat: (48600,)\n",
       "Grid Coordinates (Cartesian):\n",
       "Grid Connectivity Variables:\n",
       "  * face_node_connectivity: (48600, 4)\n",
       "Grid Descriptor Variables:\n",
       "  * n_nodes_per_face: (48600,)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Load coupling index with uxarray\n",
    "gridFile = (\n",
    "    \"/glade/p/cesmdata/cseg/inputdata/share/meshes/ne30pg3_ESMFmesh_cdf5_c20211018.nc\"\n",
    ")\n",
    "uxgrid = uxr.open_grid(gridFile)\n",
    "uxgrid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "43206b67-1313-4b61-94ea-b50b85a3d50c",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2025-10-28T23:29:47.113235Z",
     "iopub.status.busy": "2025-10-28T23:29:47.112949Z",
     "iopub.status.idle": "2025-10-28T23:29:47.192565Z",
     "shell.execute_reply": "2025-10-28T23:29:47.191944Z"
    },
    "papermill": {
     "duration": 0.086735,
     "end_time": "2025-10-28T23:29:47.193727",
     "exception": false,
     "start_time": "2025-10-28T23:29:47.106992",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Coupling index is now ready to go\n"
     ]
    }
   ],
   "source": [
    "for iCase in range(len(caseNames)):\n",
    "    TCI_filePath = os.path.join(\n",
    "        cupid_temp, f\"{caseNames[iCase]}_TerrestrialCouplingIndex_SHvsSM.nc\"\n",
    "    )\n",
    "\n",
    "    couplingIndex_case = uxr.open_dataset(gridFile, TCI_filePath)\n",
    "    # Rename the variable:\n",
    "    couplingIndex_case = couplingIndex_case.rename(\n",
    "        {\"__xarray_dataarray_variable__\": \"CouplingIndex\"}\n",
    "    )\n",
    "\n",
    "    # Assign case coord\n",
    "    couplingIndex_case = couplingIndex_case.assign_coords(\n",
    "        {\"case\": couplingIndex_case.case.values}\n",
    "    )\n",
    "\n",
    "    # Return all the cases in a single dataset\n",
    "    if iCase == 0:\n",
    "        couplingIndex_DS = couplingIndex_case\n",
    "        del couplingIndex_case\n",
    "    else:\n",
    "        couplingIndex_DS = uxr.concat([couplingIndex_DS, couplingIndex_case], \"case\")\n",
    "        del couplingIndex_case\n",
    "\n",
    "print(\"Coupling index is now ready to go\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e9e22cd0-870e-47cb-b5c7-2e57bbd9af16",
   "metadata": {
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    "execution": {
     "iopub.execute_input": "2025-10-28T23:29:47.209369Z",
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     "iopub.status.idle": "2025-10-28T23:29:47.215189Z",
     "shell.execute_reply": "2025-10-28T23:29:47.214725Z"
    },
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     "duration": 0.012159,
     "end_time": "2025-10-28T23:29:47.215719",
     "exception": false,
     "start_time": "2025-10-28T23:29:47.203560",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [],
   "source": [
    "def make_cmap(colors, position=None, bit=False):\n",
    "    \"\"\"\n",
    "    make_cmap takes a list of tuples which contain RGB values. The RGB\n",
    "    values may either be in 8-bit [0 to 255] (in which bit must be set to\n",
    "    True when called) or arithmetic [0 to 1] (default). make_cmap returns\n",
    "    a cmap with equally spaced colors.\n",
    "    Arrange your tuples so that the first color is the lowest value for the\n",
    "    colorbar and the last is the highest.\n",
    "    position contains values from 0 to 1 to dictate the location of each color.\n",
    "    \"\"\"\n",
    "\n",
    "    import matplotlib as mpl\n",
    "    import numpy as np\n",
    "\n",
    "    bit_rgb = np.linspace(0, 1, 256)\n",
    "    if position == None:\n",
    "        position = np.linspace(0, 1, len(colors))\n",
    "    else:\n",
    "        if len(position) != len(colors):\n",
    "            sys.exit(\"position length must be the same as colors\")\n",
    "        elif position[0] != 0 or position[-1] != 1:\n",
    "            sys.exit(\"position must start with 0 and end with 1\")\n",
    "\n",
    "    if bit:\n",
    "        for i in range(len(colors)):\n",
    "            colors[i] = (\n",
    "                bit_rgb[colors[i][0]],\n",
    "                bit_rgb[colors[i][1]],\n",
    "                bit_rgb[colors[i][2]],\n",
    "            )\n",
    "\n",
    "    cdict = {\"red\": [], \"green\": [], \"blue\": []}\n",
    "    for pos, color in zip(position, colors):\n",
    "        cdict[\"red\"].append((pos, color[0], color[0]))\n",
    "        cdict[\"green\"].append((pos, color[1], color[1]))\n",
    "        cdict[\"blue\"].append((pos, color[2], color[2]))\n",
    "\n",
    "    cmap = mpl.colors.LinearSegmentedColormap(\"my_colormap\", cdict, 256)\n",
    "    return cmap"
   ]
  },
  {
   "cell_type": "code",
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   "source": [
    "### Create a list of RGB tuples for terrestrial leg (SM, SHFLX)\n",
    "colorsList_SMvSHF = [\n",
    "    (124, 135, 181),\n",
    "    (107, 109, 161),\n",
    "    (51, 82, 120),\n",
    "    (49, 114, 127),\n",
    "    (97, 181, 89),\n",
    "    (200, 218, 102),\n",
    "    (255, 242, 116),\n",
    "    (238, 164, 58),\n",
    "]  # This example uses the 8-bit RGB\n",
    "my_cmap_SMvSHF = make_cmap(colorsList_SMvSHF, bit=True)"
   ]
  },
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   "source": [
    "def plotTCI_case(seasonstr, caseSel=None):\n",
    "\n",
    "    transform = ccrs.PlateCarree()\n",
    "    projection = ccrs.PlateCarree()\n",
    "\n",
    "    if caseSel:\n",
    "        # create a Poly Array from a 1D slice of a face-centered data variable\n",
    "        collection = (\n",
    "            couplingIndex_DS[\"CouplingIndex\"]\n",
    "            .sel(season=seasonstr)\n",
    "            .isel(case=caseSel)\n",
    "            .to_polycollection()\n",
    "        )\n",
    "\n",
    "        collection.set_transform(transform)\n",
    "        collection.set_antialiased(False)\n",
    "        collection.set_cmap(my_cmap_SMvSHF)\n",
    "        collection.set_clim(vmin=-20, vmax=5)\n",
    "\n",
    "        fig, ax = plt.subplots(\n",
    "            1,\n",
    "            1,\n",
    "            figsize=(12, 5),\n",
    "            facecolor=\"w\",\n",
    "            constrained_layout=True,\n",
    "            subplot_kw=dict(projection=projection),\n",
    "        )\n",
    "\n",
    "        ax.coastlines()\n",
    "        ax.add_collection(collection)\n",
    "        ax.set_global()\n",
    "        fig.colorbar(collection, label=\"Terrestrial Coupling Index ($W m^{-2}$)\")\n",
    "        ax.set_title(\n",
    "            seasonstr\n",
    "            + \" Coupling Index: \"\n",
    "            + str(couplingIndex_DS.case.isel(case=caseSel).values)\n",
    "        )\n",
    "\n",
    "        plt.show()\n",
    "        plt.close()\n",
    "\n",
    "    else:\n",
    "        # create a Poly Array from a 1D slice of a face-centered data variable\n",
    "        collection = (\n",
    "            couplingIndex_DS[\"CouplingIndex\"].sel(season=seasonstr).to_polycollection()\n",
    "        )\n",
    "\n",
    "        collection.set_transform(transform)\n",
    "        collection.set_antialiased(False)\n",
    "        collection.set_cmap(my_cmap_SMvSHF)\n",
    "        collection.set_clim(vmin=-20, vmax=5)\n",
    "\n",
    "        fig, ax = plt.subplots(\n",
    "            1,\n",
    "            1,\n",
    "            figsize=(12, 5),\n",
    "            facecolor=\"w\",\n",
    "            constrained_layout=True,\n",
    "            subplot_kw=dict(projection=projection),\n",
    "        )\n",
    "\n",
    "        ax.coastlines()\n",
    "        ax.add_collection(collection)\n",
    "        ax.set_global()\n",
    "        fig.colorbar(collection, label=\"Terrestrial Coupling Index ($W m^{-2}$)\")\n",
    "        ax.set_title(\n",
    "            seasonstr + \" Coupling Index: \" + str(couplingIndex_DS.case.values)\n",
    "        )\n",
    "\n",
    "        if fluxnet_comparison == True:\n",
    "            ## Add FLUXNET obs\n",
    "            iSeason = np.where(seasons == seasonstr)[0]\n",
    "            iStations = np.where(\n",
    "                np.isfinite(terraCI_fluxnetConverted[:, iSeason]) == True\n",
    "            )[0]\n",
    "            norm_CI = matplotlib.colors.Normalize(vmin=-20, vmax=5)\n",
    "\n",
    "            ax.scatter(\n",
    "                lon_fluxnet[iStations],\n",
    "                lat_fluxnet[iStations],\n",
    "                c=terraCI_fluxnetConverted[iStations, iSeason],\n",
    "                cmap=my_cmap_SMvSHF,\n",
    "                norm=norm_CI,\n",
    "                edgecolor=\"k\",\n",
    "                s=30,\n",
    "                marker=\"o\",\n",
    "                transform=ccrs.PlateCarree(),\n",
    "            )\n",
    "\n",
    "        plt.show()\n",
    "        plt.close()\n",
    "\n",
    "    return"
   ]
  },
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   "execution_count": 16,
   "id": "6003435f-f16d-4c8b-80da-40f9cb571560",
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   "outputs": [],
   "source": [
    "def plotScatter(seasonstr, caseSel=None):\n",
    "    node_lats = uxgrid.face_lat.values\n",
    "    node_lons = uxgrid.face_lon.values\n",
    "\n",
    "    predictions = []\n",
    "\n",
    "    fig, axs = plt.subplots(1, 1, figsize=(8, 8))\n",
    "\n",
    "    iSeason = np.where(seasons == seasonstr)[0]\n",
    "    iStations = np.where(np.isfinite(terraCI_fluxnetConverted[:, iSeason]) == True)[0]\n",
    "\n",
    "    for iPoint in range(len(iStations)):\n",
    "        this_lon = lon_fluxnet[iStations[iPoint]]  # lon1\n",
    "        this_lat = lat_fluxnet[iStations[iPoint]]  # lat1\n",
    "        obs_point = np.array((this_lon, this_lat))\n",
    "\n",
    "        # Get subset of relevant points\n",
    "        i = np.where(\n",
    "            (node_lats >= (this_lat - 2))\n",
    "            & (node_lats <= (this_lat + 2))\n",
    "            & (node_lons >= (this_lon - 2))\n",
    "            & (node_lons <= (this_lon + 2))\n",
    "        )[0]\n",
    "\n",
    "        minDistance = 100\n",
    "        for iSelClose in range(len(i)):\n",
    "            # Find point in uxarray? Use euclidian distance\n",
    "            distance = np.linalg.norm(\n",
    "                obs_point - np.array((node_lons[i[iSelClose]], node_lats[i[iSelClose]]))\n",
    "            )\n",
    "\n",
    "            if (distance < minDistance) & (\n",
    "                np.isfinite(\n",
    "                    couplingIndex_DS[\"CouplingIndex\"]\n",
    "                    .sel(season=\"JJA\")\n",
    "                    .values[i[iSelClose]]\n",
    "                )\n",
    "                == True\n",
    "            ):\n",
    "                minDistance = distance\n",
    "                selLoc = i[iSelClose]\n",
    "\n",
    "        predictions = np.append(\n",
    "            predictions,\n",
    "            couplingIndex_DS[\"CouplingIndex\"].sel(season=seasonstr).values[selLoc],\n",
    "        )\n",
    "        axs.plot(\n",
    "            terraCI_fluxnetConverted[iPoint, iSeason],\n",
    "            couplingIndex_DS[\"CouplingIndex\"].sel(season=seasonstr).values[selLoc],\n",
    "            \"bo\",\n",
    "            alpha=0.5,\n",
    "        )\n",
    "\n",
    "    axs.set_xlabel(\"FLUXNET CI Value\", fontsize=12)\n",
    "    axs.set_ylabel(\"CESM CI Value\", fontsize=12)\n",
    "    axs.set_title(\n",
    "        \"Individual station CI vs. nearest gridcell CI: \" + seasonstr, fontsize=14\n",
    "    )\n",
    "    axs.set_xlim([-25, 25])\n",
    "    axs.set_ylim([-25, 25])\n",
    "    axs.plot(np.arange(-25, 26), np.arange(-25, 26), \"k--\")\n",
    "\n",
    "    rmse = np.sqrt(\n",
    "        ((predictions - terraCI_fluxnetConverted[iStations, iSeason]) ** 2).mean()\n",
    "    )\n",
    "    axs.text(0.05, 0.95, \"RMSE: \" + str(rmse), transform=axs.transAxes)\n",
    "\n",
    "    return axs"
   ]
  },
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   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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7O3fuZPXq1dx///2Xuzutgo8//hiAdu3aYTKZ2LhxIx9++CGzZs0SwodAIBAIBALBZUKIHwKBQHANM3jwYPz9/bnzzjt57bXXLnd3WgUuLi689957pKWlYTAYiIiI4Mknn+S555673F0TCAQCgUAguGYRaS8CgUAgEAgEAoFAIBAIWjWi1K1AIBAIBAKBQCAQCAStmBdffBGJRFJrCQoKutzduqSItBeBQCAQCAQCgUAgEAhaOR06dGD9+vWO5zKZ7DL25tIjxA+BQCAQCAQCgUAgEAhaOXK5/JqL9qhJk8UPvV6P0Wi8mH0RCAQCgUAgEAgEAsE1jJOTEyqV6nJ3o8W4mONom82GRCKptU6pVKJUKuvcPzk5mZCQEJRKJX369OG1114jJibmovTtSqRJhqd6vZ7o6Gjy8vIuRZ8EAoFAIBAIBAKBQHANEhQURGpqaqsQQPR6PVFBHuSXmy5K+25ublRUVNRa98ILL/Diiy+et+9ff/2FTqcjPj6e/Px8Xn31VZKSkkhMTMTX1/ei9O9Ko0nih1qtxtPTk8zMTDw8PC5FvwQCgUAgEAgEAoFAcA2hVqsJDw+nvLy8VYw7q8fRxz7qhbtzy/praCotdPrPvvPG6A1FftREq9USGxvLE088wSOPPNKifbtSaZbnh4eHR6v4JxQIBAKBQCAQCAQCgeBS4O4sw8Pl4thtXugY3dXVlU6dOpGcnHwRenVlIkrdCgQCgUAgEAgEAoFAcJGQSCUXZfk3GAwGTp48SXBwcAud5ZWPED8EAoFAIBAIBAKBQCBoxTz22GNs2bKF1NRU9uzZw9SpU1Gr1cyePftyd+2SIUrdCgQCgUAgEAgEAoFAcLGQSu1LS7fZDLKyspg+fTpFRUX4+/vTt29fdu/eTWRkZMv26wpGiB8CgUAgEAgEAoFAIBC0Yn766afL3YXLjhA/BAKBQCAQCAQCgUAguEhIZBIksn/n0VFXm4LmITw/BAKBQCAQCAQCgUAgELRqROSHQCAQCAQCgUAgEAgEF4srwPNDICI/BAKBQCAQCAQCgUAgELRyROSHQCAQCAQCgUAgEAgEFwmJVIqkhSM1Wrq9awEhfggEAoFAIBAIBAKBQHCxkErsS0u3KWgWQi4SCAQCgUAgEAgEAoFA0KoRkR8CgUBwicnNe/CCXhcc9EEL96Q2Bfn19ysg8OIeWyAQCAQCgaC1ItJergyE+CEQCOolNfs/F/0Y3kr715CX33sX/ViXggsVNv5t2zabjaSkYk4k9kOj0VBS/AcGowWj0YLRYMFosmI0WDAYLZhMFqRSCTKZFLlcilwmQSY/5++qbTK5BIVcikzer2q7fZ1cJsXbZxpyuRy5XI6bmxtRUVFER0fj4+ODRPLvQzG1JY8A4Orz7r9uSyAQCAQCgUBwbSPED4FAUCdnMu6jpLgStdqIutyAWm1fDAYLFosNi8VqfzRbsVhtWKueh4V7EBLqRoXGiEZjRKM2otEYHH9XaI3IZVKUShlOShmeLk4olTKUykEonWQoVXJUShlOTjJUKnnVY9VzpRwnpf1RqZLh7uaEq6vivIG2xWbD1//9i3p98uqIkrDZ/n27VquNjIxyTp4o5mRSEbk5FXahQi5FJpUgk0mQyqpECpkUqUxCYYGOjRvTyMmpwMnpJ9zcnHBysl8zZdW1rLUopNhsYLZYMZvt75vZbMVitlats7+/ZnPtv+3bq/a1WDGbt2E2W887BzdXBZGRnkRGeFQt//wdEeGBl6eqWdekWgQBIYQIBAKBQCC4CpFcBM+PFphoutYQ4odAcJXTnEiDigojZWUGXFzkuLgoUCplDuHAYDDz8ccH2Lkji6wsDbm5FXUObKuRSiXI5RKkUqn9USZFApSXG87b183dCfeqxc3NCaw2DEYLBr0Fg9GM0WChUm/GaLRgMFiaJSLIZBLc3Z3w8FDi4e6Ev78LsbHexMYOJTbGm7g4b8LD3ZsViVBTOKlL5KiPphyi5rmVlxtITCzk5MliTp4oIimpiKSkEnQ6EwDe3ioiIjyw2cBitWIx27Baq4Qns82+zmLDzc2J6ybEMXJkFP36hqJSnf/Vbm0JZabO87H3qUJjJCNTTW6WhowMNelVy6YtGaRnqKmsNDte4+WpJOIcUWRAv1A6dwpo9HgtEQ0i0nsEAoFAIBAIrj0kNlvjd8RqtRpPT0/Ky8vx8PC4FP0SCARNpD7xQ6czUVJcyZmzpezckcWOHVkcPVqAxfLPR97TU0m/fqH07RvKr0tPcvpUCWPHxhAZ4UlYmDvBIW54e6nw8FDi6emEzEWBSiVHJpPUKyYUFekoKtTh7qF0iB3SKqW7OsWlIWw2GyaTFYPRgr7SbE/dMFjQG+ziiF5vT+WorDRToTVSXm6gvNyAWmNArTaSm1tBSmoZp06VONr84P2RzJzRoTmXFQCTtXmCgU5r4uixAg4fzic/T0t0jBdxcd60aeODn59zrWuWn69lypTfOXumFCcnKfHxPiS09yMhwb60b+9HYIBLi6SPNMS5ooisxqyE1WqP8jCZqqNArJiqIkBMpnP/tmAx2zBXRQBZq6KBZEgwm63kF2hJTS3nbGoZJ04Wczq5pNZxe3YPYvO66c3qu9ZkufATbwAhgAgEAoFAcHlobePO6vPJ/n0UHq6Klm1bayJ08rpWc60uBSLyQyC4yjh+/DjHjx8nNTWVtLQ00tPXY6gSBrRaE8XFlRQXV9aaaff3d6H/gDCmT+9AWJg7Op0Jnc5EWno5O3dk8b//7SAy0pM/V91M186Nz743hGuQG5FBbnVuM1rqjySphUyC0lmOu5tTnZstVQP2ykozxcU6iooryc3VkpRUREmp/rzIEb3ezN/rUsnJqSA3t4LSUj0VFUYqKkz2R+0/f2u1JixmKzYb2LDZH6satNnsES9duwQyckQkXboFcuZMKYcP2wWP06dLsFptqJzlBPi7kJ2tcYhNnp5K4uK8iY3xwstLxarVZ8jOrgBg2LBIbru1IwMHhOPayA/jhQRwNKSfyOrYOGXq72zZmtn8AzUDlUrGxAlx9OgWRIfO/nTqFNAkMcNkslBaqqeo6n/cw90JT08lnp5KlE0Q15pCQf6DQgARCAQCgUAgaGUI8UMguExk5z7Q7NdotUY6dfoCAA8PJyIiPAkIdMHFRYGXtwoXZwV+fs74+toXH19nwsI8iI31qj+C4DG7OODkJEMhu7JyB6vFkvx8LV98cYidu7JJSiquJezUxNNTSUJ7XwYOCMPFWc7JpGIMBgtPPrUZsAsXQUGu+HircHOzR6X4+NhTS9yrnru6KlAo7O7ZEokEieSfRwCDwcKu3dm8+94+tDoTcrmUhPa+9OkVzN13dqN710A6d/BDLpdiNFo4m1JG4qliks+UkJxcSlpaOWpNISUleke/165NZe3aVMfzwYPC+W3pjXW+ZzVXuSlktbZVtFAkxJzZnRoUP1xdFLi6KnB1sws1BQU6tFpTk9qOi/MmNbUMk8lKbBsfbp/fBY3GwOnTJeTnaykpqaSkRG8X8UrsQl6J41FfZ1pVNSqVDE9PFV6eSjw8lQwZHM7DD/dGLm++G7qu9BFcvIW/iEDQWmko/e1yIURXgaAVI5Pal5ZuU9AshPghEFxBlJZU8vnnh/D0VGK12hzpBkajBR8fZyZeH4e/vwuFhTpkMinhER5MnBjH5Bvikf2LL0CFi30Qe7F8If4td9z5F3v25NS57csvxhIZ6YnJZCE7p4L09HJKS/QcPlIAwLx5XZg8OZ6QYDcCAlwbHQgrmlA27P57e2AwmDmbUkbbWG+cnev+KnVyktG+nS/t2/nW25ZabeDoySL+XHWWHxcnUlqqJyND7RA+zhU4GqKufS9EEJk1pT2zprRvcJ9y4/kClNVqo6hIR3ZOBdlZGrJzNCiVcuLjfWgT5427uxM3Tv6dM1XRMK+/vouvFx6hoFBXqx13d7so5evrjI+PM3Gx3vTuFVL1XIWvn329i4sCjdqARm2krCr9qaJcz5Fjhezanc2+fbns3ZPDit8mo2jGdRTUTVHBQw1u9wt4/5L041JyKfxh6hLCQ4M/bJG2Bf8ek8lCfr6O3LwK8nIryMvXUlaqp3OXAPr1DcXDQ9kixxHCh0DQupFIJUha2PC0pdu7FhCeHwLBZaK48CH0VYaiJ08W8eMPiXyz6Khju6eXEpVSjlwuReEkJT9Pi8lkZcyYaHr2CqagQMe+vbns359LbKwXt87qSNcugXTs6I+nZ/Nvxq4U4SMg8AOsVispKSmOFJ9169axdetWwD6736VLAKGh7jg5ycjJqeDo0QLKyuwRAd7eKry9VXh6KtHpTLz/3ki6dw9q8X66tuBguj5rEacWjMRRer1T67m5/LEWa7suIaQuVv91lttm/wlAZKQHPXoEExPtSUysNzHRXgQHu+Lr49zk9JWCAq3dLDapmJMnizh5sphTp4rRVUUG+Xir6NkjiCXfTazTBLYpiOiPxkWP5nClCiRNjQKw2WxUVBgpKNBRUKBDrTFgsdiwWe0+N506B+DiLCfxxCiOHTtGamoqHp5JxMR4ER3jRbt2vnh7N6/aEVyYGFLf+3alvgeXmjOZ99e5vrRUz+6dWezakcWhA3kknSyutd1JKcPVVUFpiR6pVEKnLgEMGRTO4MHh9O8XekETEUL4EAj+obWNO6vPJ2fl2Ivi+REycU2ruVaXAiF+CAT/kuLChy74tZmZal58eTvLlycTHOxKly6BpKWVM2F8LE880bfWvuXlBn7+5STffHOUs2fLAPsMua+vM1qtiZKSSoe/RGCQK506+uPsLLeXJjVZMJurzSvtpWpNJisWqxVnZwXubgrcXJ3QVZo4eaKYyVPa8uwz/S/4vC6EgMAPOH78OK+//jrLli1Dp7NHA3h7e9OxY0c8PDwoKCjg7NmzlJTYzTLDwsLo2NGJLl0C6NolgM6dA/Dzc7mk/a6PusSRZvqnNsi5wsi54kZzuVAxRGM8P7LEZK3f26WiwlhneeJzkVZtt1ptaLVVZZM1RtIz1Cz56QS7d2VTVFwJ2AWx+Hhf2rf3JaG9H+3b26NtosOaV+WnmtYieGTk/KfZr8nNqSArS01hoQ51iZ7CQl3VUklhoY6KCiNRUZ7Ex/vQrq0vFquNdetS2bQ5HYDAQFeCAl0JrLGEhrqT0N6PXn2+Ria7siJwmpP6EBjUMtEYWRfwvtRE2YJhzteyEFItfthsNnZsy2LHtkx27cjiRGIhNhtEx3jRb0AYcW28iYj0JDDIlcAgN7y8lNiAzAw1u3ZksXtnNrt3ZlFcVElomDvTZ3Vk6rT2+Pg4N9qHNuEfX+SzFAiuPlrbuNMhfqwaf3HEjwmrW821uhQI8UMgaAEuRADZviOLmTNX4OGp5InH+3DTTe2aFJpvtdo4erSA1LRysjLVZGVpyMzSkJlZTmamxuGHoVTKHKkzF0JB3gNNGjj+24gRmVTCwYN5vPf+Pv5ak0JYmDtzZneiS+cA2if4sXVrBvfe97dj/6lT2jJhQhw9ewUT4H9lCB3n0tgsnqb4kQtq19330g3KSwsfbpF2GhJCziUpqZghQ39sdL927XyZMD62qiqOL1FRno3Otl5LM6vVokd5uYHMTDX5uRX07B1yXkTYvr05pKWWYzJZMJqsaNQG3nlrj8NUVy6X4ufnjL+/i2NxcVGQmlrG6dMl5OTYDXu7dQ1k5MgonJ3l5Odryc/XkV+gJS+vgoICM1qtFgCVSkVCQgJ6vZ6PP/6YYcOGXbqL0gzqE0Q6dPyKoqJKPL2UlJf94z3Ttp0vk26MJ+lkMcv/OF3rNa6uCgIDXfGqivZ4/PE+DBoc8a/615LiRzXXoghSLX5s2pDGnbevcqyXSiW8/NoQbmmgQti5v3o2m42jh/NZ/H0iq1YmAzBhYhtmzu5I5y6BdbYhhA+BoG5a27hTiB9XFsLzQyBoAWqWRFU0Mf9O6SRDKpOgUEiRy6UUlxkIasJgXiqV0LVrIF27/nNDVT28tNlslJUZSEst44knN3H2TCmurgrKygy0b+/LgIHheHsp7VEgFivaCiMZGWrKywx06RJAnz4h9OkdQnBw3dVazqU5wkd+vpZt2zLJy6s2taykqLiSvFwtx44XEhfnzUcfjmLqlLa1RKCiospa7Sz97RS//X6KwEBXTEYLX345joEDw5vcj4tBcwfWl1LEuFC8/d+r9fxCxZBqD5WmiCBu9VT3AfDzc+abRdfh7a1q2MC3Hq62Ci5HU+9p1v7bN2ewb3cOBdkaMjPVjs91NQGBLsye0xm5QorVYmPL5nR277L76Egk9lB+m9Ve3Ugul2I2W7HZbJSXG9DpTGRlabhxclvm3N4ZN3cn3N2dMBotmE1WfHyd66waBPbvpOzsCjZtTOP113dx8OBBAD7//D7atR/l2C846Mp5b+r7Pzl09J/vu8pKM++8tZvE44WcPFnMW2/sJjTUnUGDw+nVK5ipN7fH19fuS3Mu1a1caFKb4ZyqWf9WDLkWhQ8AY9V3Uv+h4Xy/dBJpKWWkp5ZzYF8uLzy7BYVKxnWT4s97XYBz3d9TQ/uGMbRvGMUvD+bHxYks+uYoy5Ym0bt3MEt/mYyzs/y8904gEFw7CM+PKwMR+SG4JikratpATm+xcuRIATu2Z+JV5SPh7aXCy1tFWJh7vUZnlibmN2RklPPUE5vYts1eWaNrt0C8vVXYbJCSUkZ6Wjljxsaw8OsJDbYjq+PLT6c18cgj61m+PLnW+pAQN155dQjjx8deUNlUgHOtKA4fzmfM2J9rrRs4MAyDwYJeb0anM5GSUobNZq9S4+vrjK+PM75+zvj5OjN8eBTXTYitd/a+vNxASmoZu3flsGVrBlu3ZWKsSrf4efENjBoZ3WifmxOB0BBX0wD6YlFa+DD6f3ET3xQrk59+OsHTz2zBw8OJ/706hAkTYi8oheVqfL+aK3wA3DDyJ9JSyujSJYBOnfyJivQkMtKTgBA3XFwVvP3mbnZsy0QqkyKVQEioO1OmtmPO3M54OzuhNVswmSwcOJDH1i0Z/L02leTTxVit9igyX19nR6RHNQqFFPcqIcTN3Qm5TIpOZ6Ky0ux4rFmZycVFwYQJsUyZ2o4BA8LO+7xfSQJIc8jM+Q9ms7VJkXthDXh3XEgFsHOpFkKuVUGjOZxIv7fO9WazlRee2swfS08xZEQk3XsG061nEB07+aNUyesVP87FYrHy9DOb+XHxCRJP3IGu0szaNSmkpZVRXKzH21tFdIwnHTr406GDX4P/P8IAV3At0drGndXnk/vXhIsS+RE8blWruVaXAhH5IbjqaUjIsFptHDlaQEaGmsBAV6IiPQkMdGn6IMpkZeyYn+rd7O2tIjLSk6goTyIiPYiK9CQ6xovevUNqhcWWFFfy15qzKOQylEoZKpWcgEAX2rb1ZfFPkygs1LFxQxpbt2ai15vZsD4Nc5UZamlJZd0Hb4CyMj2//ppEUtI/Rm0KhRSTyUpOTgVJScWMHx/b7Hah7oFrRob6vHXZ2Rp69wpBpZKjcpaR0N6PkaOj68yD1uvNnDpTSm62hvR0+6x1RkY5aen2x7IaM9hurgraxHkTGeHB7Ns6NSp8nBvB0BB1hbtfjYPni03Na5qb1/xykVXWNHX+L5lMFl54YTsLvz7CzBkdeOXlQbi712/gKwZ5dn789jpuuPE3LGYrDz3Qi6goz3O2T6zzddKq+ANXuQzkMkYMjGDEwAheenYgWq2JQ4fz2Lsvl737cikt1VNZaUYigeBgNzp3CaBrl0A0FUY0aiMWixUXFwUuLgqcneWOR2cXBR4eTvTvH3ZeJMTVKnjUJDzkoxZp59wBrqgCc3mQy6W88uYw2iX4sXlDGp9/tJ9KnRmFk5Q2sd4EBbsRHORGUJArwcFuBFd5gbi7O6HRGKnQGFGrDag1Rg4dzqd372B278nh4QfXUVKiJyTEDT9/F0pL9aSnlQOgVMno2iWQ7j2C6NEjiB49g/GvigQV77lA0EqQSu1LS7cpaBYi8kNw1dGUqA2dzsTt81fz97rUevf584+pDBgQ1mhbM29bweq/UhzPZ8xIYPSYGPJyKygs1JGTU0FaWjnpGeXk5lRgs0GPHkG8+dZw2laVOP3u22M88/Tm89pWqeR07RbIiBFR3DApnpAQe7rJ998d4+mnNjNkaASzZ3di8JAIXOsIn65Gij28/OChfL779hi/Lzvl8Pqo/oQHBLgQGeVJj+5BPPvcgAtypG9sxn7hwiM88+wWAP5YNoV+/UKBf9JyTp8uYd++HDIy1GRmasjMsPuU5Odr/zmGTEJoqDuRkZ5ERnjYH2v87eOjqiVe1RVu3xzBQ9By1CWEqJrwf2ap8TP0+ecHefHl7bz+f0OZM7tzk47b2gSQC4n8CHVTkpRUzJSbllFQoGXsmBjuvLMrAweE1Sn2SpuQdGGz2Xj3/X1s2ZpBcnIJ+QX/lCQODXVn5Ogo5s7rYjdHLTfQb8D54kZdpaNbg+AhaL2cGxFiNls5nVTMof15FGZoyM2tIDevgpzcCvILdFgbiPRUKWX06xvKpi0ZjBgeyScfjiYw0NWx3WAwc/RYIfv259pLc+/LJSfXHmH1zbfXMfu2lRfnJAWCK5jWNu50RH6snXhxIj/GrGw11+pSIMQPwVVLQyLIX2tSmHHrigZfv3b1zfTuFdLocY4nFjKoHhNGhUJKQns/unYJoEuXAOJivUk+U8rrb+6msFDH11+N5/ob2nDocD6jRv/EpEnxPPifngQGupCZqWHHziy+WnCE3NwKRo+OZvEP1wP2L7MffzzOzz+d4PjxIsAeeu7hocTDU4mnhxPOzgr0erMjxLyiwkhRUSVhYe5kZWkcfVSpZPTrF8p118Vx09R2jjKizU1aqMvLxGazkZevJTGxiMTEQvbvz2PDxnTMZisvvjCQe+/p7vBDKS6upGOHrwAICXUjPNyDiHAP+2OE/TE8woPgYDdUF1hGtrUNgq9WLtQfxGKz8fobu1jy0wmOHJrXpNdc6+953jnRSjqdid9+O8XCBYc5daqEhAQ/5s3vwogRUY5BV81f/YbEqc++OMiz/93KdRPiiI33JjbOG4WTlHvuWFPn/t26B/LYE32Ji/MmMMi1lugS0ULREQLB5UJbcr5RtcVipaBAR25eBZoKEx7uTnh4KHF3dyIvr4I771vL8cQiZs3owC03t6O83EBpqYGycj2lpXpKy/SUlRkoq3osLdOTnl6Ol5c3R44cITz88vpZCQSXg9Y27nSIH+uuvzjix6gVreZaXQqE+CG4arBYLOTn55OdnU1UVBQq6f+dt8/6TWlMvmmZ47lMJsHDQ4lcJqHwHOPMtMz7kMmk+Kgazv6y2Wxs2pIBgNUKZosVvdGCxWwjN6+Co0cLOHy0gKSkYkep2ZocOTiX0DB3lv1xmgceXEdlpZnwcHd0OjPFVaU6JRLo2jUQL08lUqmEgEBXBg4KZ8KEWM6cKeXEiSLU5UbK1QbU5QbUarsJobOzAhcXOS5Vj127BrJpUzpfLThS7/ncPqcTTz3Tv16/kvo4V/zYsiWD/zy4zuED4O7uRIcOfkwYH8vkG9vWmt0C2L8/l7HjfwHA38+ZhAQ/EhL86NjBn5gYL7y8lHh52H1VVCoZEokEcxO9U6oFFjGjfGWQVSNc31XeuJBVM/Lj3ff28tVXhzl54k5AiBsNca7wURObzca2bZks+Oow69enYbPZo786dvSne48g7rmnB87O53/3aTQG1q1L4+DBPL7/7hh3ze/Ka68McWw/dbqYXv2/AyAmxotXXhtCQKArpSWV3DxlWa22brgxno8/GQM07HUhEFwN1CV+1EdpmZ62nRag05nq3O7u7oSXV5WHmJcSpVKOxWJDqZTRPmESs2bNolu3bi3VdYHgqqK1jTurzydvw6SLIn4Ejfij1VyrS4EQPwRXDHq9nnXr1rFs2TLWrv0Vg8GCTCZBJpVgtdooKq50iAs3TIzj+0Xn57A//vQmvvjqMGCvitK/fygVWhMpZ0tRq42O/V5/cxgzZ3Ws9drGRJCa6ExW5OeIAZWVZs6mlDpmcAqLdMidJjF9ajJOTvYBoEZjZOu2THbuysbLS8m+/bmsXZdW73HefmMYc2/v0mh/app5fvrpQV56eTt33NEVf39nkk+XkpxcwuEjBbVek5f7nyZ7nyikUgqLdezalc3BQ3kcOJjP7t3ZDB4Uzu1zOtOhgx8RER6NtpeWVs7x44UknijixIkiEhOLSEsvb1IfqnnrjWHMn9uFSnPzYleEMNKyZDXTnLEp6S8AP/18gv88sI4brm/Ds8/2JzrKSwggTaAhISQnR8Nvv53itf/tBOxeRes3zDivqpPNZmPqlN/ZtSubmGgvhg+L5I3/DallxPj5V4d4okYKX0CAC6HBbmRma86rzPTIo715+NE+jfZdCCOC1kZB3oMsW3YKAE8vlUPk8PJSUVioY9v2TJKSijl5spiTScVUVBjrbKd790B+Xzq5ViUsX//3L8UpCASXjdY27hTix5WFED8El4WMnP8gk0io1JlYsyaFNWtS2LQxHZ3OREyMF6NGRePppcRqtTnyaf39XYgJ8+CBR9Zz46R43nxtWJ1tl5XrOXgon/0H8th3KA8PDyWxsV7ExtnDtiMjPZHLpRiNFlQ1BA8flRydqXkD6qYOytTFtdMAzGYr8+/6i2XLk5HLpcjlEmQyKXKZFKVSRniEO8OHRjF/bhc8PJxqhakrFNJafh1arYnPvjpIytkyMrM0VX4aagYPDufXX2507Ge12sjJqWDL1gz8/JwZMzqmSX2vztkfMOR7Tp4srrVtxvQE3nhtGK41vsyb6rdRXPgQyWdKeeGFbezYkYW2nhmyc5k6tR0ffjS6SftWI4SPi0NzBRCoWwSx2WxkZmo4dryAM2dKWfLTCc6eLUMul3LvPd156pl+SCQSgoT57AWRlfsAu3Zlc8+df1FcXImbm4KBg8IZNjySoUMj8fZxRq83s35dKo88tJ4ff7yeiWPqNkS22Wzk5mlJTy8nLaOctLRyUjPVBAe70T7Bl/YJ/kREeCBtRvk9IX5cXgwGAxkZGZSWllJaWkpG+vuUleqJiPRkxPDIJonkYkD+D0UFD9W5fueubD76eD/r16fh5CSjTRtvEtr70b6dL+0TfElo78fiJSd4483dtV43dEgEbdv6MGtmB6La+DSrLyarjehQkXJWH/WlT3v5Cd+wy0lrG3c6xI9Nk/Fwa2Hxo8JE0LDfW821uhQI8UNw0cjI+U+92/JyK/j2m6P8+EMi5WUGunQJYOy4GMaOi6VNjR/3vLwKTiWVoNEYKCzUsWTxCU6cKOL7RdfRvVsgeflawkPdCQhwrfNmu9JsL4daLWnk5Gj48YdElixJJDdXi4+PirAwD154cSD9+/9jfipvRklNQ42SnyaThRMnijiwP49Dh/IxmSw4O8sxGq2s+vMMr740iDvmdeHLBYd5+rmtODnJ6N4tkPbtfFGpZDg5ySgu0bNxY7rD9OxcXF0UXH99G26b1ZE+vUM4cDCPUWN/QiKBqChPYmO8iY3zYsSIKHr2CK4lTNTEZLJQUWGyu9NrjSidZAQFudXav6ZZ4TffHuWRxzee1866NdPo0T0IaJrwUdMP4sDBPG6dvZK8KsPTmGgvHvhPTwb2DyM01M3hTwJcUGlVIXpcOporhMilEnbuyOLdd/eSmFjoqOjj7u6Ei4sChcIuBMbGevPNt9c5BmBCAGkeNd8Xq9XG8eOFbNqYzpZN6Rw4kHeeWePIUdEs+va6ZgsSzX3/heBxabHZbKSm3UdFhZHSUj3Hjxdy6GA+Bw/mcfx4ocMguxppVcTlgAFhfPzhKMLDm3bvdzWJIOdOSjSEsY6U1nrb1RhIz1AjlUiQySRIpRJOJ5dw++2raN/el3vu7s6kSW1QKuWo5Pbf2OrUzeTkEu68aw3OznKCglwxGC2UlxlISSnD1d2JsWNj2L49i8JCLRIkSCQgkdiPIZEAElAp5SR08KNz10C6dQ+iXYIfSmXj6YetWSTJzn0A1wv0EgMhhlxqWtu4U4gfVxZC/BC0OI2JHpMmLiU3twI3NwW3TE9gzu2dCY/woKxUT16OloMH89i3L5f9+3LJzPynhKpEAoMGhRMQ6ErisUJO1ijj6uQkJSTEnbAwd8LCPAgLdSM2zpvhwyLx8lI59hs0+AdOny5h5MgoJkyIIzevgrVrUsjJqeDvddMICnLDaLRgMFrwcnNqcMbLZLWxZEki77y9B4WTDKWTjIwMNXq9GScnKR07BeDmqkCnsxuSSiSQmFhEx47+fPTxGBb/eJytWzM4daqkVrsqlQw3NydKSvR07OjPtOkJuNcIeU1LL+fHH46Tl6fl4KG5eHur6NZ1Ya1ysDVxdpbj5+uMh4cSXWWV2FFhRK+31Lm/h4dTVfk+N4KCXfH3cyE5uZT9+3MpqvIoadPGm149g+nXL5SpU9ohl0ubFAVTlxGmxWJl67ZMfl2axMo/z6DVmejYwY9hQyMZPCgcT08lBoOlajGjN1gwGiwYTRYsZitmsw2LterRbMVssSKXSVE5y1EqZTir5KhUcry9VXTpHICHh1JUg7lA6ioF/G/4a81Znn56M7m5dvGrc+cAZsxI4Kab259XNaQmQgBpPnWJE2VlenbtykZfaUalspfgnjr5Z5ydzy9HLbhyMZlMnDhxgm1bHufYsULS0svRaIxoNPZyq5qqxXxOqmBMjBfdugfSo3sQsXHeaLUmuwlniZ6CQi0/LTmBWm3k4w9HMW1aQpP60prEj5zcCoqKdGi0Zru5uN7+qNebUShk9O8fSmCAKwUFWvbszWH37hx278nm+PGiOivA9OoVzIrlUx0TNdXCR1PYcyifCeN/xttbxaBB4UREetojQm02LDYbNhvYrDZsNhuaChPHjhZwIrEQo9GKk5OUhA7+9O0fyq2zOxMc4lbnMVqT+HFumejycgOpqWXk5Vag0RiRyaW4OslQKGTI5BLkMilOTjLCwtyJjPDARVl/GrSrz7sXu/vXPK1t3Fl9PvlbplwU8SNwyG+t5lpdCoT4Ibho1CWCpKaUMXTQDwDI5VLi430oK9NTWKhzzDzJ5VK6dg6gZ69g+vQOoWvnALy9VaSllXH3/X+TllbGpOvjGT06mthoL7JzKkjLKCcrS0NWlpqsbA1ZWRoKCnQoFFKGDI5g4sQ4xo6NITGxiAceXEdJiZ7nnx/AjFkdKSzUMWH8z+TlamnX3pczyaWOm0RPTyU//3wjnbsE1HmOr766g+++Pcptszuj1Rrx9FTSq3cI/fuH1TnTsnlzOrNmrGDpb5MdkSb5+VrOni1FrbZHt1TqzGi1Jk6dLmb1qrMolTL+99pQbr65vaOdu+/+ixXLk/H2VtGpkz8D+4bSv18o7u5KjCa7OKA3WCgpqaSouJLi4krK1QZUznKkUgkGgxmgarZIAtjQaEyo1QYMBgs6nQlNhRGt1oROayIqypNevULo2TOInj2C8fZW1Tqvf+vJUC2KaLUm1vydwsaNaWzanOGICKkPqVRSK21IJrM/ms1W9HozBkNtgUcigfh4H3r2CKZHjyB69giibVufWmlEV9PN+6WkpYWPak6cKOLNt3azfUcWBr0Fk8nC5Clt+fjjMY1GYAkvEMG1Rlr6fSSdLObosQKOHSvkWJXZtsFgQSKBuFhvYmO98ayqOOLh4YS7mxPu7k64uTlRrjaQnVeBXCZ1DAjT08vJyFA7foNlMgkRER507RrInXd1o1dVZF9NLsf3ZHMiNZpCmcZIfoGWigp7tTT7Yv/71KlivvjycKNtBAa6Okq1R0R40LdPCH36htC2rb3Mva0qdddisdGtW6BD1G2q8KGtEZGjVhtwd69/UuZcU3KDwUxiYhH7D+Rx8GAe6zekodOZmDW7E/99cZBjv6td9Dg3dUVr+ud3f+fOLP5z39+O96gpyGQSoquiaONivYiN8aZNrBexsd6EhbrXijKuKYScK7jURaiIeGsSrW3cKcSPKwshfgguKtWDWo3JPti2WKykpJRxJrmU/HS7UOHr60xwoCuBAa6EBLvRuaN/rVlfjcHMlwsO8+LL24mN8earL8bRvp3vecfSmMy1/ATy8ir488+zrPwzmT17cpDLpUREeGCzQUpKGQBDh0Xw7XcTycvVsmzZKTIz1SQk+OHhoUSrM/F//9vJpEnx/N/rdfuLfP75QV5+aTtKpcwx0JZKJezeO4eQOmZX/vzzDHff+Rd/rbqZnj2DycnRsHjJCY4fL+T48ULSM9T4+Ki45eb2zJnTGZVKxoMPrSc3p4KtW2f9c64aA7t25XDsWAGHDuezdWum4/gqlQylUo6Lixx3dyUeHk64ujlRVKgjLa0crfZ8bw25XIqLixyJRIJOZ6oVAh0a6sbkG9sy9/bOhIWd//lvyQFoTdNGm83G2bNlmEwWnJzs56RSynB3UaB0sqcINZaLbrXaMBgs6PVm8gu0HDyUx/4DeRw4kEfiCfvsnKurgmm3tOeNOt5j7xqzP1KPt1vsPK9m/q0I4lTjM7p+Qxozb1uJwt2ZwG52j4mMrYmYTWZ+/XkSQ4dENtqeEEAErZHkzPsBKCmp5OThfPbuyWXv3hyOHi3AZLIik0lo29aXTp386dQpgE6d/enQwQ8fdxUmk4WTScUkJ5eQfKbUviSXcOZsqSPiT6mUERHhQXS0F1HRnkRHedGt21PExcURERGBQtGyN+j/lpYQPvR6M3v35bJ1eybbtmex/0DeedEw1bi7O3HXnV0ZPSoalUqOylnuiCJUqeRoNEa2bcsk8YQ9mrNvn5A6f/P/Dc1JtamrFP255BdoueGGpcjkUnZvv63e/a70yMj6fDrOJTtHw9ARi4mJ8WL2nM5Ex3gRHOaOs4sci9mG2WLFbLJHi1rMNvR6M1lZatJTy8nP1HA2pZQzZ8pITS93/J+oVDJefGUw02d0YMP6NH747hheXir8/Jzx8bEvAQEuBAa6EhTshq+vc50p2UIEaZjWNu50iB/bbro44segX1vNtboUCPFD0GLUldLQGG5OjedgLvjmKPc+tA6A3r2CiYr1QiGXYjRZMRqrUiCM9hljo9FCQb7OIW5Uc+TwXFavPktGhrqqxKyO7JwKZDIpL748iMpKMzptVaRDVeTF9m2ZrFuXysuvDGbuvC4o6zBqLCjQ8uvSJJRKOa6uCjIz1bz19h7uv68HPXsF4efnQoXGSHlVedr33t9Hhw5+/Pj99Rw5UsCMWSvQ68106xpIx47+JCT4cfJkEUt+OkFJiZ5ffpmETmdizpxVLFl8PcOHR9V5jUrK9GzZnIGmwmgPy600o9OZUWsMVGiMaCqM+Pm6EB3lSWSkB1FRnvj4OOPiYi+RqzgnF1ZnsL/+VFIxf/xxmhUrkgnwd2Hdhum1oiRa8ge8oWoVddFQ6kNd/4tWan/VVVQYOXK0gA8+2M++/bm89+4Ihg+LtKfFNBDyWpNrTRD5N8KH0zmfn8pKMwldFqAMC6T7nWPY/9lflKXlY9LZqx54eas4fmReLd+XunBTyFB5v3PB/RIILid5+Q+iMZ6fgrjk++N8t+goZ8+UAhAS4kafPiH07h1C166BtGvvW8uwu7RMz6aN6fz9dyqbNqY5qpsF+LsQ18abNnHetGnjQ5s23rSJ8yEszL3OQdmVHPnWHAGkoEDLG2/v4eixQvt9gtHC2ZQyDAYLPj4qBg0Mp3//UNrE+eDmpsDNzalqUeDioqj1O9cUmmET1iRkTWzw3Dv4mmXDS0v1HDps93XZtj2TfftyMZmsfPHpWG6a2q5J7V9JQkhTRY9q/vviNj7+5AB9+4cy+ab2jBgVhZenstY+NpuNCo39syKR2r1TpBK7f4rJZp/MUskkJB4vZM6tK7HaYMkvk4iL9aZt3OeN9sEemSpFrzczeJDdhL7m506I93XT2sadQvy4smh6bU+BoIWxWm2U6UxYpOCr+ufLoGbIIsDosTG8/eYwMjLVZKSrOX2qBLPZilPV7L+Tkz1Xc+uWzDqP07mzP9t3ZJGbp+VsShmnkopJz/jHS+S68b+c9xqVSo6fnzNfL5rA6DH2qigGi/U8ASQgwJX77u3heJ6bW8GGjWks+uYoH39yoNa+UqmEyEgP/vfqEGzAJ58epLBQh7u7E1KphEq9mdOnS/D0VDLtlgQ+/ewgpSV6brihDYMHhzNj5gqCglztniZhdn+TiHD73wFBbvTuE4K3t6rWDfH5F92GVmvP/1arDeTkVlBR5QHi4qIgIMAFH38XbDZ7ilJaWjnu7k64uig4fbqE9HQ1MTFeQMvPXNQUMxoTQhrzfGjshq248CHc3JwY0D8MqVTC009vZv4df6FQSBkxNJLP3x9JeB1RLtcaLZnqYqwyrK0WQVauOkNZqZ5hjwxAppDhFRVA4clMpHIpceN6cHrlPjatS2PqjW0bbVtf+qgQQARXPM0ReHfvyubsmVJe/N8QhgyLILTq+8jTSYYVsFhtpGeUs+7vVP5em8quXdmYzVY6dPBj3vyuDB4cTpt4H4L8XJrVx+LCh65oAaQxUUCvN/PxFwd55919yOQSxo2JQaWSo1BIuW1WRwYNDCOhvV+TqxHVYd1RJ5bG5xGbzIUIH0ajhcNH8jl4yC52HDyUT0pqGQBenkoG9g/j9VeGMGJoJG3jfRotFX8liR7V1DQdrUsIKaysHdV6651dcfNRsXb1WZ54eD0KhZT+g8KJb+tLVlWlqox6omHrwtfPmZ+W3ED7BD8sFiv/fWEgmzelk3i8kJISPQA+vs5YLFa0WpM9qsRsdUSNnE0pxWq11frfq64MJESQawOJVIKkGZXQmtqmoHmIyA/BRaGk4CFefHk7Z1PL0GlNaB2LEa3O/ndllcmej68zMdFeRMd4ERLoikIhQ6GQ4qSQoXCSopDLcHaR06d3CBFVjvNSCZRV+VZUs/CTg7z82k7Hc1dXBZWVZofxWGioG+3a+dK+nR9t2/rg7++Cq6t9lsfVVYFCJXdEQtQ361NX9EdNqu9ZdCYLBQU6Skoq8fRQ4uGpxNVVUStNw1BpZv/+XA4eyOPgoTxyciqo0BhQq+3RG8OHR3HX3d3wcldSWWlm564s1GojOTkaMqv8TXJyKrCcExrr4qJApZIhk0qw2qjKN7aHdTa1nGxNQkPdGdA/lDvnd3VUdWnsxgmu7EordZUizMxUs31TOu98tB+Tycqfv95Il07ne72IaI8Lo2blIJPVyjvv7OGjL47i2yECqUyKwkVJcXIuZan5SOVSZHIZzz3Wmyce6dPkYwgBRHAl0lTRo7i4kl9+P8UfvyVx9HABPj4q1v09nbAwd8c+NpuNpUuT+OzzQyQmFqFQSOnXL5TRY2IYNSqa0Br71qQhj4krWew4F23JIw1uf/LZzXzy+SGGDA7nm4UT8DnHn6q5NEX8aEnhw0na8D1G9bGqD1lYqGPGbSs4cCDP/nonGZ07+dO9exB9ewbTq3sQsTFejaaIms45UXfff2/qmZ5t932LvASeImVFD58nftQkL7eCv/86y1+rzpKboyEyytOxhITYo6BMFrs/i81mf7RabdisYK16PmBQOCGh9s+XqcZ7brPZyMnWcOxwAWdPl6DRGNFWGKnQGLFYbAwcGsHMG9vi1wQhUoggdlrbuLP6fAp23YJHjQIGLdJ2hZGAfj+3mmt1KRDih6DFqDlIslptTJ78G7t25wAwfnwswcFuuLjahYZq0aFSZyYvv4LUlDJSU8spKanEZLJiMlkwm60YjdZaObkdEvy4/ro4Zs5IcMzMVwsSpWV6Fn5zFJvNHmook0lwdVXQvq0vCe19kTk3HGpWXbK2Kbcxzg3cSJaXG1ixMhmbVEK7dr7EtfFBqZShVhsoKzNQXq5HLpPSoaO/Y4bnzJlSPv54P1u3ZJCXV78xl0IhdUR8RER4MmZMNB0S/Cgo0FFcUklJiZ7Skkr0BovjR9yexmNEpzMTEuJG+3a+uLs74e6mxMPdyRHyq1YbOHK0gPJyA76+zsTEeBEW6k5mlobi4krH++bqqkBWlebj1EDa0pUqftQlfNQkv0DLjJkrSEkp45uvJzBkSATyepT1a6n8XXNEEEUjN/BgL5386JObsJ1z0+0ZGYBECuVpBbzzzghmzuiAh5M9mkmIG4KrmfpEkEXfHWPJD4mcSCxEIpEwdFgEN05tx3VVUQvVZGdrePzxjWzYmM6YMdFMvrEtw4fbU/XOHbzW5N9E6TVVuGnpCkw2m43y8nIyMjIcS1FRERbDWuRyKQqF1JFSIJNJqKgwUVZu4PCRfP5enwbAKy8M5OEHetV7jKYEWNRVYf1csaOlxI/GhA+Ac+dfvlx4hIdrlKCXySR06uhPQntfOrTzQy6XcuBQHmVlBj58dySRVRNIJpOF/AIdWbkVmEwW3N2VjnsBdzen837bax7Xxbt+YSQ3N5ekM4/j6+OMh6eyXtHlYgsi1Z45ALJG3ufk0yUkny6hrFRPaakeFxcFvfqF0qatT739N13Aex7sUvegVwge59Paxp1C/LiyEOKH4F9T36DIYrHyzjt7eefdvYwaFcUP31/v2FZf3EBd1R0UUigrN7BpcwZr1qaw4s8z6PVmRgyP5KnH+tCtWxByubTBqIzqmxOdqfGIhVWrz/DIoxtwUsowGa0YDGbc3ZUMGRrBrbM70bmzPRrgXAEkKamYz744xLJlp9DrLY6Ik+oQx3NL37362hDm3t6FrVszuGP+ary8VIwfH0u//qGER3hUlW21IbHYjbnUaiOZmWp27Mxi5cozANw+pxNvvjEcicQe7vvnqjOsWHGGzEw1eXkVFBZV1jrmiBFRfP/D9aSnl3PiWCGnThVz6nQJp5NLOHu2DKPRglQq4Y55XXj6qX48+vhGfvv9VL3XKijIlTFjYxg3LpZ+/UId3iFXqvBRTWMCSIXWyPw7VrNlSyYfvjeS6Y2UeVTU4/5+NdKSqS7niiB5+VosVaOJ0lI9w0cvwSs2GJPOSHlGIa6BXgx9cRrHFm+lYN9pDhyai+c5OdrCKE5wNVNdBc1JJkVXleIZG/6JY/sb7wxnao3KXgCucinf/5DISy9tw83NibfeHM7o0dG19gm4QPGhuPChBrc3JKqcS2MCSErW/Q4hsz6cqkaqM25dwaq/Uhzr5XIpvj4qrDYwmyyYzTZMZvujxWLF3c0JT08lHh52k28vTyWTJrZh5vQO9R7rQsWPmpibcH2aYh8iofHO1NdOQaGO7GwNWdkaUtPKSTpVwomTRZw8VYzJZKVr5wAystQE+LsSEuzK/oP5FBXpzvMLqYmTk6xqkkRBr57BLPx8bIM+KIVVUaV9eixyVFaRy6V4+6jw9XHG3cM+4LPZwEkqwd3NifFjYph8fRtCQ+zRFBL3txq9BhdCStb9da7/7dckPn5/HxlVadBSqQRfH1WVd5qFoEBXhg2J4LU3VhMVFVVnG8fS7m1SHzpFfXpBfb9WaW3jzurzKdwz/aKIH/59lrSaa3UpEOKHoMU4d9C0a1c2d9z5FxIJLPhqPH36hDi21czUaMylXK02sGVrBhvWp7FufRoFhTrAfuNis9ndtxPa+zHxujieeLg3YDezzMzSEB3leZ4HhlZrIrtA66hccuJEEZ99cZBTSSXk5Wsxmy0UFtpFg4gID6bP7MCK5ac5eaKY6ybG8dkX43CWS89zYh8zegnHjhXSt28In30+DldXBSeTijmVVIzVasPLW0XSySI++/QgBoOF2+d25pVXhzB1yu9UVpr4+ZcbcavjS1Epk2Kz2cjO1vDzLyd5/4N9eHmpePnFQUyaFA/Ahx/t55NPD1JaqqdvnxDatfMlKMiV4GA3Cgq0/O+1XfToEcQ3307kzz+TefaZLVitNvz9XewGeG18iGvjTVwbH44fK+S9d/fi6qrAzd2J1JQyps9I4Kab2+OplFNRlb6kqTBy7HgRK/48Q0amGm8vJddf14YXXhqEq2v9UTYXepN+MdGV/hNKXf2+ms1WHntiI99+f5ynnujLE4/1OW8WqCkO+1ebGNLSJW2lVdds+Ypk5t+xut79VF6uRA7pQMmpbAqTsvm/14dy622d6txXCCCCq4W6Sr5Xk5xcwreLjvH9t8cAu6fAn2tuISDQ1REVeCqpmOee2cy+vblMm57A088NwNNT2WIz542JH2D360lPL2fvnlyUShkBga4EBroSGuRW67tebTQ30IqdxsQPsAsgo8b9jNJJxgv/HUBoqDuBAS6OwXdTPTEao7FmGhM+oHHxo6WED1s9Man1RSUCjtQNuVzK4aMFjBz3M8FBbky7uT0hwW72iiSBrjg5SdHUKPerqTCi1hip1JooKNTx6ReHuP66OEJD3FCpqqreVFW/UShlODsrcFbJUSpl3DJjOf+5vwc9ugVRVKwjO19LSXElVr29FLOkykw0J1fLpm0ZmExW+vcJ4ZYp7bhnflfkVZNKOpPlovx21hRCaoqOgENAA8jK1jjWT7upHYu+GO+IPDyR3rjgkRApxI5/Q2sbdwrx48pCiB+CFqPmTdT2HVlMm/4HPXoE8+lnY/H3bzzXsXogabPZSEoqZv2GNNb+ncK+fXlYrTaH2CGXS+mQ4MeggWF07RrIn3+e4Y8VyQD06hVMWlo5hVUCiZenksmT4pl2cztiorz4YuERFnx9hNIyA127BnDzTe2xAc8+u4XefULo2zeEtNQydu/OoaDA3oZCIcVksjJ1Slveems47jW+uPYdyOPee9fg7KKgtKSS3Fz7jIdSKSM17T7Ani9aTb8+35KZqcbTU8msWzsycmQUr7++C5vVxtLfp9QywrLZbCxenMjiHxM5k1yKVmtCoZBy913deOSR3ri52vvx+ecH+e8L25g/rwvz53chLta71nU9ebKIiTcsxdNTyeDBEXz//XHmz+/Kw4/0xrtGPnTN0N3cnApefmkbf648Q0CAC6WlesxmK2NGRVNYpCMjU0NRkQ6JxO6OXjM16ZOPRzO1ASf5K0n8qCl61IXNZuPt9/fx4is76Nc3lPfeGUHHOsos18fVJnzUpKVEEIPBzNGjhYSHufP1oqN8+dVhKivNjB0TwyMP9+LEySIWLjrGsaMFAHTpGsgDD/RkzFi70bAQOgRXM3WJHzabjbvv/Is1q1Pw93dhzuxOzJ7dCWcvpWNgr9Ua+fC9fSxccISISA9efW0o/QeE1XmMfyuEnCuASGsMxisqjEya8hsHD+XX+Vo3NyeCglxp29aHD98fBap/0iUee3g9Wzam06lLAB9/PhYXF0WTxY8Zt61Erzez9Ocb69ynsVSTpgjTjYkbDQkL0DJRH/9G+GhqO9V9yM6pwNtb1WAFrbrO6f/e2MWGjWlUVlWS0xvMVFbaF4Ph/EpFy3+fwuBB4fa+19F1r6oJqbIyPSv/Ostvy0/z55oUnn6iL08/3rfevv3b39Oa/+dnU0r55ttjrF2bQnGxHmdnOSqlDIVChpNChspZhrNKDnIpXbsH0bdfKJ5eSry8VXh5qZA6Na0akBBBLozWNu50iB/7Zlwc8aPX4lZzrS4FQvwQXDD1zRgdOJDH5Km/07NHED/+cL0j8qKxmvVuChlHjhbw5HOb2bkzGycnKSDBarUxcGAYQ4ZE0LNXMJ06+eNZI3fy1dd28s57e+15rgl+REd5EhPlSWiIG5u3ZvLTLyfJzLKr+G5uCubc2oke3QP5/Y/TrF6Twi23tCcpqZjSUj3r18/ApWomKz29nK++OsxPS07g46Ni7+7Z55WE/XVpEvfcu9bxvEePIA4cyKN37xD+WD4VlUyKzvzPzUFpqZ7Nm9LZtCmdLZszKC6u5KWXB/HC89t48aVBzL+jK2A3MXv80Q2sX5/GuPGx9OgRRHy8D506BRAY6Opob82as8ybu4r77+vB8/8dWO+1TU4t5Y55qzlxoogXXhrE/Plda22v7535/rtjPPPUZt59bwTHDuezd28uSCAnp4LSMgNeXkpMJqvDLd3XV8XgwRGMGB7JqFHReHnVNpu7koQPaFz8qKY6r3r0yGiW/jQJsJvu1kdrFD2kjUyTWuv4Kdm1K5tJN/7meB4R7kFomDu7dmUDcHj/7URHeQKg1hgA8HD/J83Fw/fa8VQRtH6qhRBdmYEOnRYwZ3YnXnl50HmD0bMppdw4+XeKiyv5z4O9uOOubiiV9fsrNVf8qO8zXpdXz30P/M2KFcl88tFohg6JwIqNvDwt+fla+2OB/XHBwiO88vJg5s/rgtpoxt/ZianT/mDvvhzMZiu9egXz+883IpNJKVbrOXoon5NJxRiqStUbjBZMRgsWi42ePYLYvC2TpUuT+HnJJPr3Cz2vX1eD+OHUmNkEoDGdLx7UxKUBf7FqGhNQGuunXCppkpBTF1arDb3ebF8MZmw2CAt1bzClpibVwszTz27h868Os2vrLDq096tz33PLpSs8GzYfr+se1Wq1cf2kpezenYOLi5xRI6OJj/ehvNxASUklJVW+HyWlespK9ajVhjrPRamU4eWtwtNLiaeX/TE8wBVfb2e8vVV4e6vw9VHRto0P7dr6ovQSflXNobWNO4X4cWXRLPEjK/XeWjemAsG5HDiYxw1TfiM21pvVy29qMP2hJsXFlfz3pW38uCSRuFhvenQP4qdfTjJxQhz/9+oQR5WXC8FqtbFzVzZnU0q54fo2eHn+MyD//sfj3PfgOqbd3J6ffjnJU4/35Zkn+9V6/cFDeQwf8xMvPjeAh84xT9NojHz25SFWrznLwUP5SKUS+vQOZvyYWMaNjSG+jU+9/Vq1+izTb1vByaPz+eiTA3z+1SHc3ZU4q+RUVBhxUsr47KMxjKsqtVsXk29ZRn6+lm0bZzZauk+vN5ORqW6wT+fy1ddHePSJf8zUqsv1DugXxg0T2zBqRBQSCaSklrNnXw579+awe28OJ5OKkculjBwexZQb2zJxQhzOzldnZe11G9K4ff4qwsLc+emHG4iK9LzcXbpqWPr7KebeWX+qy/FD8/7VZ1sguJpY83cKjz25iYxMu8fAl5+OZdo5/h4AW7ZmMHHybyz7dTIjhkVe6m4CdkPMz788zLMvbOWzj0Y36J2xeWsGt8xcztTJbfnkg9GoNQaW/XGajz49SPKZEu6/pwcffXqAW2d24HhiEUePFWCx2FAqZTg7y1E6yVAq7eVorTYbqanljradneX88M1ERo2IugRn3fpoiqhhbSCyRNqEyJSG2qnr9edGw2zdlsktM5cTHOTGyj+mEBri7oiAqil4pGeoKVcb6NTBr04j0qakXQFcP2kphw7ls33rLEIa+f2xWKzkFFVSXqanrMwuiJSXGTBUGCmtEkpKy/SUlRooL7OLJiUlesrVdjFfIoFHH+jFf5/uh1Ipd4ggqdn1p8NFX4LqOFc6rVX8KDo466KIH37df2g11+pS0KzRyONPbsLFVUG7tr507RJApw7+uLg0bXB7NWG12tBqTbi7t+w/6LXAtu2ZqDVGDh3Op//Q7+nTK4S+vUPsPhRtfesdoL/17h6WLT/NW68PIztbw3sf7qdr5wAe/E9PPDz+3fsglUoYOCCMgXWEDN86syMnk4r5+LOD+Po6M3pU9Hn7dO8WxH13d+e1N3dx8032XNlq3N2deOLRPjzxaB/y8ipY83cqf61N4bU3d/Hfl7YxamQULzw7gIT2dtd1jcbIvgO57NyVzcpVZ/D3d6FSZyLxRBFWqz1FoLzc/qOJ1sSXCw8jl0sZMSyyzmvXr08I732wD6PRcp63ybmoVPJmCR8A48fGYLFYiQz3IC7Wm8hIzzorvMTGeBEb48WMW+zGoHl5FSxbkczS308x/+6/mHxDPI890pvMTDUZWRoyM9WEhrozb07nBivGXG727Mvhpul/4Ows54lH+7Bteybffn+MwEBXbprSDl8f58vdxSsStcZAfp6WqZPbMnVyW4pLKklMLGLbjkwWLDpKcXElgweGn2cCLBC0ZtIz1GRkqplza0em35JA3xo+WDXp2SMYuVzKps3pDBoQdkm/I41GCz8uSeTdD/aRnqHmjnldmNGA4fP3Px7nwUc3MHhQONNuas/8u/9i5Sq7KfnwYZG88NwAnn9pW9W+iUwYF8ucWzvSr28o8W186vxdS88oZ/WaFFb/dZbtO7O4be6fZJy557zIS0HjNBa9YqdlPFQutB0JEmRSKZoKI3v25DJ5krvDFF9flVK7d38u109eik5nJijQlRHDIxk5PIoAfxe7afuZEk6dLiE/X0tkhCdt431oG+9DmzY+qJQyflmaxL4Dufh4O+Ph5kRlpZkHH1zPymVTGjRyRS7DI1QBoc0bVJrNVsrK9Hy/OJFX/28nq9amMHNaAmNGzya+jQ9+qvrHTpripkWkXu3UV045KSmJnJycS9wbwbVEsyI/unYJwGSyknSqGEtVCsNNU9qx8ItxF72jFxubzcaRowUs/f0Uv/9xmqxsDd7eKmKivYiO8mRg/zBum9XRYcYkqJ/sHA17qiIA9uzJ4ejxQiwWG716BvP9ouvQak0cTyzkWGIhx48XcjyxiKxsDQP7h7F6xU08/dwWli0/TU5uRb3H8HB3Iiv1vhbpr8ViZcGio4wdHU1kRN2z+mqNgYTOC5g/twsvNpBeUo1OZ2L1mhRe/b+dpKSWIZGAt7eK8nIDFosNHx8V/fqEEh7mzqLvjhEc5Mpbrw9nzKhodDoTWdka9u3P5YuvDnP4aAF9+4Tww6LrCAhwrXWcpFPF9B7wHd27BWKzwaHD+YwcEcXv9eRJXw7eencPr7y20/FcoZASGupOZqaauFhv3n1zOIMGhl/GHtZPYaGOZ1/YyroNaRQX201wQ0PcyC/QIZVKGD82hum3JDByeKS4Ma/BBx/t578vbaNXz2D++0x/hgwKd8zU6XQmfliSyDvv7SUszIP1f91SbzlBwdVLdo6G9PRyFE72HHonJylymZTCIh3ZORVkZ2vIzq3AaLDQq2cwfXqHEBfr1ar/F9Izyuk76HtHmqCLi5zYGG8mjIs9L+Lw4cc3sHDRUQIDXJh3exfmzu503vd/S2I2W1n03THe+2Af2Tkabrw+nscf7UOHhLpTEMAu1kfEfYbZbOXHbyfy8acH2bo9k+7dAvnhm4mEhbpzPLGQ/kN+wNlZTmWlmXm3d+a9t0Y0uV+lZXqyszV07ODfEqcpuELJya3gyWc2sXzlGYYMCufGG+IZPCic2Bgvkk4VM3bir7SN9+HJx/qyaXM6Gzalk3iiCLD7wMVEe9E23ofAQFfS0stJTi4hvaqKC4CPj4qhgyOoqDBRWKSjqEiHyWRl9/bb8PFW1detFuHosQJeeW0nW7ZloNdbiIr0YPSoGEaPjGLQgPA6o2KNRgtanQltlcF8RYUJvd6Mp6cSP19nfH2dW8U9R7UAotfrefPNN/n55585ceIEQ4YMYcuWLa0mmsER+XHoVjxaeGJdrTHi1+37VnOtLgXNEj/atfVBr7eQk1uB0WjPU7z/3h68/OKgi97RliIrS83uPTns3pPDnr056PVmvLxVlJXqOZtShq+vMzdMbEOvnsFVZcPKSEkpY8/eHDp3CiA0xI2jxwvtbtcqOTKZBE9PFd99c10tI0zBP2i1JnbuyuKhR9aTm6d1rA8KdKVDBz86dvCvMjANr+VnsWFjGjdN++O89qRSCe++PYJbbmqHXm9GV2nGoLfg6anEy6v+uvL/lv++sJVPPjtIp47+jB4VzehR0XTvFtjgrIHRaGHL1gxy87QUFurw9XWumvHyRiKRMHHSrwD8vHhSnVFUNpuNrdsyufveNcgVMhZ/N5FOnQJqbX/t9V28895ex7quXQLY8Pf0K2YQUVFhZNPmDAIDXQgP9yAwwBWpVEJiYiGPPL6RfftziY7ypG1bX8dsTdu2vrSJ866z+s3lwGKxkpmpYfvOLJb9cYq8fC0nTxbX2qd790CeebI/wy9TmPqVREpKGT37fuN43q1rII8/2ocxo6ORSCSoNQaW/HSCp5/dwoplUxg44MoUvwTNp7i4krff28PXi45iaqC0uIeHEyFVJS5PnSrGZgM/P2f69g6hT59Q+vYJoXMn/1Zxg18Tk8lCeoaas2dLOXO2jCNH8ln6+ynm3NaJgAAXXJwVOLvIcXFRkJ6u5sclieRWTQQEB7ux8e/ptX4nW4oVK5OZM28VE6+L45mn+tM2vmlRggcO5vHCS9s4dDifjetm8N77e/llaRID+ofy3jsjiY7yZNkfpzlytICkU8XExnrz+v+Gtnj/Ba2DNWtTePf9vRw6nI/FYiMkxA2j0UJggCt/Lp+KZ4205ZzcCioqjERHedb5PaHTmThztpTSUj39+oZe9ihTnc7Ejp1Z/L0ulb/Xp5KZqcHZ2R6RW6k3O4QOrdbU4HdnNZ6eSgICXLj5xrbccWfXWtfmXJrqwXIhNHSr2dhxvf3tvl6HDh2ie/fujvVPPPEEb775ZqsZ0FePo4uPzL4o4odvl29bzbW6FDRL/LhtVke7kY+Xip49g+jWNeiKzuPPz9fy27JTpKWVk5ml5nhiEdlV5avatPGmT+8QvL1UlJTqUcilTBgfy5DBEXVGd+w/kMtTz27GaLAwckQUJpPV7kT++ylHmkKAvwshIW64uTmRX6CloECHu7sTsTHetInzJjbWy5E64O7mhKurAhcXRaNeDVcCer0ZqVTi+PHYfyCXJ57aRFioO337hjLntk6NpkDl5WtZs+YsUVFedOzgh59fwxVgysr0dO35NWq1EbAbTMlkEiRIqNSbGw2Z9/V1ZsPaaUTUE83RXEwmCytWJvP3ujTWb0yjtFSPr68zgweFM3hQOEMGRRAV1bxjDRjyPYMGhPP6a0Mb3C87R8Os21aSfKaEzz4ey8Tr4mptHz/xF3bvySEszJ0RwyIJCHAlwN+FgABXQkPdiIn2Os989ErAarWxctUZ9u3L5dTpYk6dLiEr658Sc717BfOf+3owbmzsZf+cHDyUx9gJv9CjexChoW5YLDYys9QcPFi7CsKqFTfRr+/5Bn3XApoKI4sWHeWLrw6Rm6dl5owO9Okdwgcf7uNsShlurgosVhuVlf/kZr/4/EAeuL/nZey1oLno9WZOJhWj15tRKmWoqspcrliZzPsf7sdmg4ce6Ml1E+Iwm62YTFYMBjNmsxU/PxeCg91qTRaUl+vZdyCPPXty2LY9k737cgF7ZMT117Xh04/HXK5TvejYbDYee2IjW7dloqs0U1lpqreKBsDPi29g1Mjz0zP/LYcO5zNi9BLefWs4c2Z3btZri4sr6dx9IQ890IvHH+3Dug2pTJuxnKFDIvjtl8kt3ldB60etMbB7dw5bt2WSX6DllZcGE3QRRL/Lhc1m49TpEv5el8rZlDJcXRW4uipwc1Hg6urkeO7qqsDT3QlXVyfcnOWUlRuqIlcqKSzWkZJSxpJfT+KkkPHdN9cxZHBEA8ese72TTNJo+eiGDIZNjdyLNzTKrBY/bDYbTz/9NHv27MHV1ZU+ffrw/PPPt5oBvRA/riyaJX6knb3nqjA8zcgo5/0P97Pk5xNIJBAT7U1YmDvxbXzo1zeE3r1C8PVtmVx9i8XK9h1ZZGZpyMnRkJNbgUZjJCDAhcAAV9RqA2fOlHImxR5BUh0xU41EAq4uCnx8nWkb74OfrzNZ2RoyMzXk5VcQEeFJ184BdO4cQJfOAcTEeDlmzi8WBQVaNmxM5+jxAnvfz5SSkanG19eZl54fRFCQK6/8bwdFxZXExnizc1cWvj7OPP5oH2bN7IBCIcNksvDzr0l8+NF+pk9rz8MP9nZcr2PHC1HIpbi6OuHlpWxwUG612li1+iw7dmbx5YLDzT6XP5dPpX+/ussD/hssFiv79uexfkMqW7ZlcuhQPlarjYgID+bO6XzeYK6kpJIXX9nOhg1p9OwZzNDBEQwfFsn4638lNMSNJx7vy9B6hLdqTieXMHL0ErQ6E6cS76wlHtlsNnbvyeHb745xOrmE/AIdhYW6WiVovbyUhIa64+WlJDzMAz9fF/z8nAkNdcfXxxkPD3uNe08PJR4eSpycZFitNtRqg8PU68DBPN7/cD9Bga7cOb8rA/qH4umlws1V0WKRJpoKI8nJJZw4WcySn06wa3c2XToH8MuSSU0qmXyxePjR9WzaksHenbPPm0GqqDCSmlrGoSMF+PqoaNPGp9n+Kq2Bl17Zzgcf7W/y/gf33k5kpMcVE6UkOB+TycKRowUcOVLA4aMFHDlir9JhqaN6l0Ih5fY5nXns4d6Nitv18dgTG/n6m6MAdOkcwPhxscy+tSOHDufTr28oHh5X/j1IS2CxWO1iiM4uhkgkEBrqXm+koc1m43RyKS7OcgIDXS9olvuhR9fz22+n2LppJtHRXs167cixS2gT68Nnn4zhyac38c13x1j++9R6fU0EAsE/1BQXlI3URz63klFmlob4zl/xwdsjuG12J8d6Yx3ljFwbiKRrigBis9l4+719/PbHKfx8nfH3dyHA3wUfX2cC/F3x83fG388FT0+lQ/TW6+0VnYxGC2FhHsRE/xOpUy1+nEtrNTwtPnb7xRE/Oi1qNdfqUtAs8aMs/b4r/sbDaLQQ3+Nr9AYLD9zVjXvmdcH7CpnxtlisZGRpSM9UU1FhQlNhpEJrRFNhIi9fy4mkYkrK9ESEuRMZ7kFQoCtnUso4eCSfI8cL0evtwolSKSMy3IPoSA+iIuxlXaMjPemU4Ed8nHeDAwmTycK+g/ls3JZBSlo5vt4q/P1c8PdzJiNLw6q1Kew/lI9EAvFx3rSN8yE+zpv4OG82bc1gyW+nAIgM92DRp2MYOjCclLQyXvy/Xfz460liojy5bXoHvluSyNnUcry9lMTHefPWy0NISS/n+59OsGFLRq0+JbTzZdSwSEYPi2TIgLA6I0i+/uE48//zNwA3XhfH4AFhhIW4ERrshkIhqyqzZrELEFXXrzED0JZg974cDhwuoFxtYPXfqezcm0O/XsHs+Hs6NpuNA4fzWbw0ie+WnMBisXHrtPYcOlLA7v25WCw2YqM9qaw0k5Onxc/XmQfu7saj9/XA2bn2Ndi0LYPxNy3DYLAQFOjKffO7EhbqxvBBEYSHudfZN6vVRkmpnowsNWdSyjibWs5HXx4kL1/XpHNTqWQYDJZaqr1EAjOmtqOopJK1G9Id6+NivHj7lSFMHBfT4gPZ7buyufn2P/HxVrFh+VQCL2Lee0M8+cJWvlmcyKJPxjC4fxhubk7YbDYyszRs3JbJqrUprNmQhlZr4tZb2vPt51e/F1Jzqaw0cTSxCIvFhtlsxWyxkpun5bcVp/lj1dla+z75UC9ee36gED6uUNRqA199d4wPPjtIVk4FCoWUTgl+dO8aSI8ugXTvEoCHuxOVjjKXFmIiPf919Z6UtDIeeGITq9elMmRAGFKphC07srBabahUMiaNj+PWaQmMGhYpPLiqKCquZN79a1m5JsWxzt/PmZAgN0KCXAkOtj/GRnvRv3cIcTF1e6us3ZDGuKm/89Gbw7lnXpcmT7LYbDZ8oj7liQd7ER/nxU2z/+TTd0Zw99wuLXaOAkFroLxqQqqxKjyNCSA1yygnnymlU69FDBoQxnXjYmnfyZ/yckNVal0pRUWVmM1WLBYrZrMNbDZ8fZwJDnIlJNiNkGA3/P1cMBgtaLUmKjRGNBX2iOtpN7UnKNAVmVRCpdnCx58e5NnntzJ5Ujw2m42iokoKCnUUFukoKdE36RooFFLi47xJaOdLQufpdOjQgYSEBOLj41Eo7Pe+QvxoRttC/Gg2rUb8KCvXs3R5Mt/8mMiufTkc2zmbhHa+l7tbLYbZbOVUcgkpaeWkZpSTmq4mLb2c1PRyUjPUaDT2L6o2sV5MHBfLDeNi6dc7xHFzeCKpmDc/2MfvfyZTUWHCw92JdvE+lJTqKSyqpFxtwMtTyZjhUYwfHc3YkVH41zFzd/CIvZxrl47+5908HUss5LlXd7ByTQqTJsTywpP9Wb0ulWdf2e7YJybKk7deGUxIkBsVWrvos2l7Jn9vSCMrpwK5XEpstCft2vjY66PH+9A+3oe2bbzZeyCPux9eT36hjrmzOlJRYSQ3X0tstBc9qm7IO7T3veAbYoPBzMnTJZxKLqVcbUCtMWKxWImN9qJdGx/axHqhVP4jqNhsNmQ+/6jWPt4q3N2cePqR3tw5pzM//36K6fNWOc77r6WTiQhzJyNLg0opZ+/BXN7+aD979ucxdGA4MdEefP/TSUKC3HjrlcFMvSHe0XZKWhlvf3SArGwNWTkasnIqKCquZPLEOJZ+dz0btmTw6x+nmT09gX69659p6zLgO7p1DuDR+3ug1hgpLdOTnqkmLUNNVnYFJ04Vc+xEESqljM4d/Zl6fRuiozzx8Vbh4+VMUKCLQ3xISSsj+WwZJaV6vl2SyN8b0xk7IoqvPxnT4uGpR48X0n/MEiLCPNj597Ra5YovFZu2ZTD77jWOgWB8rDcZ2Ro0GiMSCfTqHsTwwRG8/t5ePnpzOPfd0fWS9/FKwGazcfpMKav+TmXV2hS27MgCYHD/UCZPbMON18URGlK3YCe4/OTkVvDB5wf58ptj6CpNzJjajjvndKZ7l4Ba338XmzXrU3nx9V14eii5+cZ4+vcO4c+1KXy35ASJScUEBrjQoZ0vAX4uBAS42B/97Y+BAS507uB3nojcWvnptyRmzF+Nv58zD93Tg6BAF3JytWTnVpCbV0FOXgU5eVqyc+zeIX6+zvTvHcKYEVHcMD7WUcHs1jtX8+OvSY52b5uWwKJPxzQqUGbnaAjv8BV//HgDp8+W8szL29mzYQZhIW54e6mESCW4Jik3N+7b0ZAI4taI31H1x9JgMPPme3vZsi2T/QfzHBOlzs5yYmO9CApyQ6GQIpNKkMmlSCQSykv15ORWkJendZTlrdmum5sTJpMViQTuuaMrjz3YCz9fFz5deJiHHt3AhHExfPbJGDxrjAlNJgvFxXoKCrWUlxtQKmU4OdlTIn3dlMhkEtIyyjmRVEziyWJOniomMUlPYWEhAJ6enowfP55JkybRv39/wsPDW82AvnocXZI496KIHz4dvm411+pS0Czxo0+vYO6+oytTboxHKr08P2ZJp4p54eXtlKkNWKpyiU1mK6dOl2AyWRk6OJw753XluvGxl6V/lwObzT7Dv3dfLqvWnGX1mhQKCnQoFFJH+NnJpGJCQ9yYO7szI4ZF0rVLQK0bEqPRgkwmabjkVxOprDQ7vGA0GiO79+YQGupGVIRnvb4g1fmP23dmcTq5lNPJ9rJlmTX8H7w87WkblToTuflaFAopcrkUqVRCcXElNhu0jfdh6ZIbiI7yAuzRDxUVRjQaI2VqA2q1AbXaaBc31AZKSvScPFXMkaMFnE0pc4RySyTg5CRDKpU4/AmkUgnRUZ6EhrjjXxXap9OZ+O7HRIKDXDl9/I5aN4kVFUa++voIy1eeYf/BPBQKKWazFZvN3n67tr706RXMjl3ZJJ8p5fVXhzB2dDT3P7ye7TuyOLLvdmJjvOq9zrfMXE5evpbQUHdW/HkGby8lpWUGJk6I48XnBtRpWNeh20JumtKOF58bUG+7qWllLPnlJB9/epBbZ3bgjSaY023ZlsmESUsBGDMqmqce60O7tr7/qlx0SmoZv/52iq3bM9mzLwe93oKvrzMb10xr8LpcTGw2G8lnStm0JYMTJ4uJivSgbbwPvXuFoNOZeOb5raxek8LB3bOJimwZr5mrgcpKM9t2ZLJ2XRp/r08lNa0cpVLG4IHhTJwQy3Xj4wi4jClLgsY5kVTEhx8f4OelSTir5Myd04l77+xOSIhb4y9uAkePFfDLb0mUlhpo19aH6bck4HcB6afVldl+/+M06ZlqCgsrKSjUUlhUSUlJpSNSzdlZzrAhEYwbE8O40dEEBbXMebQkubkV7Nidza7dOZSV6ckv0PJ/rwyhU8f6K5uUlevZtCWDDZvS8fRQ8sB9PQjwd2HtulQeemwjWdkavv5iHDdPbXfea0vL9Ow/kMeefTns3JXDzt3ZmM1WevUIYuKEOIYNiUBXaaKoqJLPFxxm2/Ys+vUJ4flnBzCojlLx1ezem8PIcT8zc1oCD/2nJyPG/oS6akLG00PJ4X1z6pxMEQgELYvRaCHpVDE+Ps6EBLs1KXpLq7VXwFEpZbi5OTm8CEvL9Hz4yQE+++IQAPfc1Q1/Pxc+/eIgaelqbp/diY/eHVlnm+f6gGhNdXsYeSnl6CxPc+LECTZv3swff/zB4cOHGTp0KJs3b241A3ohflxZNEv8qEYmk9C+nS8zbmnPHXO7XLLZlaPHCrhu8m94uDvRp1eIY/Arl0uJjfFi6o1tCQ6+8m5wLjVWq439B/I4dCTfYYzUvVsg025qf9ndrpuLVmt36z59ppTMTDXpGWoyMtWYTBa8vFSYzVbWb0zDYLDQvVsgeflayssMuLs7odEYqagqKVgXUqkETw8nFE4yCgt155kyeXkqKasys+3TK5hhQyPQak2Oyi2FRToKCu0pJN9/fV2DN4cnk4p45vltZGaqySvQ4uWhxMVFgVpjxGyx8tRjfZhzayfkcim3zFzO2dQy9u24rcEZt5tnLmf1mhSCg1z530uDmXJjPL8sTeKV/9tFbl4FiQfn1Rq4LPn5BHfcu7beG+OabNyUzuz5q7jh+jZ8/N6oBvcF+2dzyKgl5zmUR0d5MmZUNBMnxDGgX2izZgDn3LGapb/b06xUKhn33NGNB+7vccXcRNtsNn774zTr1qexfWcW6RlqFAop3y6YwPXnGNK2Bmw2G4VFlWRmqsnM0ti9ibLUnE4uZfvOLCorzUSEezBmVDRjRkUxeGB4oybIgsuLzWZj89ZMPvr0AH+vTyMk2I377u7G7bd1arEoT4vFygOPbODbH44T4OVEmJ+S4+laZDIJX385nokTWu6zYjZbKS6pJCengs1bM/jr71R278nBarXRrUsA48bGMH5MDF06BzQazaDTmRgw7EfkcinhYe6EhroTFuLu+Dsi3J2oSM8mp23ZbDZSUsvZsSuLnbuy2bk7m5TU8vP2++Lj0cTFefPL0lMOk1iLxYbZYiUzU82+A3lYLDbi2/iQn6/FbLFy393dKSjU8u33x2nX1pfvFk6gfRMiX0vL9KxZm8KKVWdZvzGNykozbeN9mDghjonjYykuqeSBRzaQla1h1R9TGTKo7qpMFouVTz4/xJvv7MFisXH/vd3p1SOImXP+pFMHf/5edbOI/hAIrhKUMinlxn9MyYuLK/n4kwMs/PoIZrONvr3tvnUzb0kgMuKfwXZlA5Eu9YkfAKHBH9Z6npaWRlZWFoMGDWo1A3qH+HFy/sURP9ovaDXX6lLQLPHj7Ik7WPzzSX76NYmkpGIsVhturgpundmBW2d0oHONEpwXg7ff28uLr+4A7DP8/fuFMmt6An16CUOtaxGbzcZfa1P4cuER1m+0+08880QfbEiQSMDdzQl3dyfc3JzwcLebeZqMVtIyyvHxdmbs6Cj++9J2Pvj4AK6uCu69qxuTb4jH2VlOgL8LHh5K8vO1/PV3Cu9/tJ+zKWVMnhSPr48zpWV6DAYLvXoEMWRQOF06BzQYNbNnXw4jxv7MwAFh9OsTQlaWhn0HcjlztgyA55/pz7HEQiQSCcuWn+bj90cxe1bHBs//jxXJnDxVzH/u6V6rJOzDj29kxapkko7Md5hK7dydzXU3/sa0m9rxyQejGrxhX/zTCe68by1DB4ez8PNxTSqruGlzOv95ZD1p6WoA3N2d6No5gKhITzZsSicntwIfHxWTb4jnfy8NxtW18UGxwWBm565s1m9KZ/3GdBJPFCGRQPeugfTuFUx0lBexMV5ER3kSE+11yW+u3/1gH8+/vJ1OHf0ZNCCMgf3DGNA/FF+fljFTvhzYbHbh9MefTnDseCE2m11MLSvXk5mlqVWBwtlZTniYB1GRHgwZFM7okdG0a+sjPDyuAoxGC78tO8VHnx3k6LFCOnbw44F7ezB1ctsWF8jffm8vL7+2g7dvj2XW0CDkMglFahOPLTrLmoMl7Np6a5PLql4IxSWVrN+Qxuq1KazfkE652kBwkCtjx8QwcXwso0ZE1fk/a7PZuPeBdXy/OBEnJxkJ7X3JzNJQXFzp2GfaTe34/OMxdX73WCxWTpwsZvvOLHbutosd+fk6JBLo1NGf/n1D6d8vFHc3J6ZM+wOr1YaPj4q4GG/27s8lItyDAH8X5HJ7qLpcJsXHR8WwIRGMHB5FRLgHJaV63vtgH599dQiVUs6zT/XjjrldLui7UKczsXFzBitXneGvtSmUlOoJDnIlL1/L2NHRLPpyfKOlxwuLdPTo+y3h4R689N8BTLppGU893ofnnurf7P4IBIKWo76KLA2l1tQUQMBuRi+XSfFvQBivTwBpjvgBrdfzQ4gfVwbNEj9SztyNe1W1F6vVym+/n+bQoTz+WJ5MYaGOjh39mT4tgSmT27ZYNZWa2Gw20tPV7N2Xw969OWzenEF6hpqePYJ49NE+jBwR1eLHFFy57N2Xw4TrfnU89/FR0blzAC7OCnQ6E1qdCZ226lFnQqczU1Fl4gQwcEAYzz7Tnx9+TOTHxYkA/L50MoPqmN0ymSz88GMiC78+glwmxctLhUQCBw/moas04+HhRL++ofj5uZCbV0F+npa8fC16vdlxI1pebuCrL8cxqYaXR16+lk6dFwAQFWU3C3T3cOLzT8desGFr955fo1LJ+XnJJEJD3flqwWFe/d8OuncP4tefb2x0cLNjRxazbltJYKAL3387kTaNVC3JztYwbMRi2rXzZdot7QkNcWfb9kw++HA/774zglkzO3D4cD6rVp9lwcIjtGvry/I/pjTbPyAvr4JNmzPYtMkuhKSnlzsG4xHhHrz99nCGDY1sVpsXyp+rznD73FU88nBvnn6q3yU55sVm565sHn9iI6dPlxAc7MaggWHIZFIkEvD0VBIW5kFYqDuhYe6Ehbrj46MSQsdVyPHEQm6fu4q0tHKGD4/k3ru7M3hw+EV5L00mC127LWRCZ0/emVc7wsNgstL5gf1cP6U9r//f0BY/dn392bMnh7V/p7L27xRSU8sZ0D+Mt94cVuf3nM1mY/yEXzh2vJDkU3fj7CznxIkifv7lJOvWp5KcXMqM6Ql88L49Oi4xsZANG9PZtTubvXtzUKuNKBRSunYNpF/fUPpWVZvz9Pxn8KDVmvjl15Pk5FRQWKijXG3g+uviuOGG+CYbjpaV6ZHLpY2KE03FbLaye3c2a9amEB7uwR3zuzbaF4vFyv9e28lHHx9g+R9T6dc3hNvnrWLVqrN8/+1Exo6NaZG+CQSC2tQUMKzUPaQz1lGdq67X1+Rc8aMaVQMTfZoGRA5LPQLMNSV+nLrj4ogfbb9qNdfqUnDB4kdNTCYLGzems+SnE6z9OxWJBEaPjubB//SkQwf/i5ZqYbXaWLculY8/PcDu3TncdmtHXnh+4BVryipoWWw2G8cT7YPgrCwNWVlqsrI06A1mXFwUuLhU1Umv+tvFRUFYmDvdugaSdKqYF1/azunTJQC0bevD/ff14Oab2jerjLDRaOHQ4Xy2b89ix45MKipMBAe7ERjkSlCgKy4uCiwWq8M4auaMDrVKQOr1ZsIjPyEoyJV1f09vEaPQHTuzuO/+tajVRtq182XfvlzumN+V/z43wOHF0hhnU0oZNPgH7ru3B88+0/Cs3c+/nOT+//zN1wvHExLsTnFJJd9/f5w1a1P4dtF1jK/hv3PwYB7jJvzCM0/348EHev2r87RabeTmVnD2bCkffLifrdsyufmmdrz80uCLIr5Wc+RoAROv/5XRo6L58otxF7Xs9KXAarXx8ScHeO3/dtKrVzCPPtKbQQPDW8T/R3BlseyP0zz40DpiY7355KPRJCT4XdTjnU0ppW+/71j2TEeGdPQ6b/uDXyVzpNDChg0zL2o/6mPzlnSeeHITBQU6jhyaV0uUAFizJoVbZ6/kxRcGct+9PQCYMXM5Gzam4+/vQmCgK0MGh/P8fwdy9mwpAwZ9j1Ipp3evYPpWiR3duwU1+Xv3aiUnR8M9961l9+4cnn2mP3fd2ZX7/7OOP5afpmNHfxZ8OY7YWO/L3U2B4KqlZnUXAKcGfBebI4BUCxkV9YgW9QkjlgaGjvUJIEL8EOLHlUKzfpF9ZBI85HXc6MvlzJgQy4wJsRQW6fhxaRKvvbuP0at+Buz5+h7uSjzcnf5Z3Jzo2yuYe+Z2ruUW3DwkzJgQy/TxMXz13XEeeW4LP/18kuGDwrh+XCxTr29zQYZqgqsFCUO7BkDX5qdbdY32ZOrIKH5edhpPDyfGj4q+sEGsXE5w/1DG9w8F+jT75TZXOXfM7sj8WR3pENoyfjXXDw5n8LZZPPjUFnbszeHv3yYzcmhEk16bml7O4qWn+PHXk5hMVq4bGoFvXZ/5Gtx+Yzyv/W8Hc+etdqxrG+fN0m+u48brYh0zyhqNkW8WHMZqteGukDbabuNI8I/0oHOkB5OGRfDtkhM8+t+tbNyYzuB+oVWilxx3dyfunduZqIiWMSDdtSmdykozlRoDxiIdoS1kCHk5KC6pZO59f7Pq71SefrgXLz3VT+Tmt0IsFivPvrqTNz/cz/Qpbfnq/ZGXxI+lomrQX1FZ981wRaUFZ6Ws2d8Fer2ZpOQSLBYb7dr4NCmNri6mjIgi/Itx9B39E+XZamJ8a/+WdIr2IDjQlY8+2k/XNt5cPy4WhQTCQ91455Uh9OwWwNnUcpYtSeT3lcl4uDuRdfyOVi921OSPVWeY/+B6XJzlbFw+ha4d/Xnno/2sWJnM1x+N4rZpCVe9QCwQXCoqbLU/K7b6hAyrtV4BRIqkTgHESSZBSvM+ixUmS50CiEwiqVcACVSc369isw25THwPSGRSJC08sdTS7V0LNK/Ubeo9TY6q6Dzwe46fLEYigTdfGoReb0GtsZcP1VQYKSnVs3FbFs4qGffN78qDd3VtlpFhcUklew7k2Zf9uRSV6MnOrcDdzYnwEDe27srG20vFD1+MZfSwSxMKLxBcyezZn8ubH+5nyIAwxo+KJjjQlcxse9nck6dL+OWP0+zYk4Orq4Ibx8dy6y3tGdXEz05WVTuurgrcXBVEhnvUuuE9mljIzbevJjdfy5fvj+CWG9s2ud82mw2NxkhegY7cfC0qpYw+PYPr3De/QMvLb+0hNb0crc5Mbr6WMyllfP/5WGbe1LDJa1OxWm28++lBnnhhG999NoZZN7dvkXYvFTqdib/Wp/H7n2f4c20qCoWU7z8fw7iR0Rf92BUV/7yPeQVa2rXxoVM90QfVP03npmOcTS3jt5VnOHS0AJVS5ojwGjkkQnzX10FpmZ4Zd/zFus0ZvPHiQB65t/slS1ey2Wx0HfQD/gorvz6ZUOu4OSUGej5ygP8+0ZenH+7d5DYXL01i1l1rHM8lEoiO9KRjO18S2vnSsb0vHdr50q6Nd4OpdRUVRr787jjvfnKAvAIdu9beQlJyKafOlOLlqSTQ34UJo6OxWm10Gvg9JpOVwuS72LEnh2de2cH23TmOtqRSCRFh7jzxQE/uvr1zM6/S1UllpZlH/7uVzxcd5cYJsfTvE8LipUkcOV6E1Wrj/ju68uHrQy93NwWCKxbdOUJEfVVv6xNAGnrNuZEiNalPAKkr+kMmkeBcz4RIfeJHfevrS73xC3j/vHWtNfKjNOVuPOrIoPhXbWsMeMd83mqu1aWgWeLHyiXXc+BIATYb/PexPg2q+V9+e4w3P9xPSlo5p/fNIa6O0pQ5uRW8+9lBvvjmGFarjTtu68gzD/eusyRiQaGO1etS2bQti90HckmuMor083Wmb88gQoPdWLT4BNERHowfHU12joZf/khGIoEP/m8o99/RtckXRSBobej1ZnqNWEJBkY5ytRGjsfaPnEwmYczwSGZMbccN42IveCa1LpLPltJj2GLiYrz4eeF42jQz/Pm2u9fww69JtdZNGh/L+/83hIiw+r/oKyvNzLlvLRu3ZZJ+ZF6LznTPe2Adf65NIf3IvAv2ZrkUWCxWUtPVFJdUcjatnGV/nuGvDWnodGa6dPRjysQ23D6jw0WPXtFqTdwybxWr16Wdt23owDAeuLMrE8fGIJFI2LEnhx9+PcnS5cmolHL69w6mX+8QKivN/LYymcPHCnF2ltOrWyBmsxWtzsSR40UAzRLorwUSk4qZNGsFJaV6flowvsli5oWiVhs4eboETYWJQf1CUCrlLPvzDFNm/8mU/v48MimMSH8VW4+X8cKSdHRWCYe2zmpWhGZ6ppoewxZTUqoHIDTYjaEDwigureT4yWKycioA+3daXLSXXQxp70tMpCcZWRpOni7hxKlikpJLsVhsDO4Xioe7E9v35FBUXElYiBuaCiPlaiNOTjK6d/Zn9/48fvxyLNOn/COgHj5WQHaulrhoT6IiPJrtYXS189q7e3nufzsBiI325GxqOTdOiGX86GgG9gkhPs5beAIJBFVoaoy0ZA18LuoSMxRVY636zETra64+AcRgttUrUNTXt5YQQIT4IcSPK4ULKnULkJF1P1KpBKPRgsVsxbmOgYXNZiM/X0tgoGudP4JGowWNxsju3dk8+J916PVm5t/RlRdfGgTYZ1gXLjjMypVnOHQwD4COHf3p0TOYHj2C6N4jiIgID0fbM2csJy2tHIVcilxhd0eXK6SMHh3NAw/+O38BgeBqpbSkknlzV3HoUD6jRkcTH+9DeIQHCoWMkBA3u0dJoOtFG8RPv+UPks+UsGXrLFxdm5fraLXa6JjwJUOHRjLrto4EBriSmFjISy9tR11u4OFHenPHnV0dVW2q2bc3h0cf2UB2toY33hzG1JtaNjrj8cc2sGTxCW6ZlsDzLww8zyvgUmOz2cjL03ImuYTTp0tJSirixIkiTiWVoNf/Y1rWpWsA48fHMX5CLNHRXpekbxUVRmbfupJ9+3J57PE+9OgRRECgK36+zuzYkcWCr46wf38uEREeWK02srI0hIa6c8OkNgAcOJDHkcMFyGQSRo6MYtyEOIYPj6wlZt13zxq2bctky9ZZeF/F1XZakuV/nObxxzYSEenBwq8nEBnZMmlfNTGbrSz46jDbtmZy+nQJubkVjm3u7k6MGRvDxOvbUFys438v76C4RO/Y3rVrAB9+PIaYOiZGmkJ6ejkLFxzhpyUncHaWs3vvHJyd5ZSXG0g+XULSqWJOnyrhVNVjYaEOL28VbeN9iI3zprBAR15eBYmJRbi6Krj5lvbMnt2JmCpxtqhIxx/LTrNs2SnGj4/jvvt7/Ktr1drQao1s35ZFZqaajAw17dr5Mn1GghA8BIJrDK86hN/6vgbqEleUXu+ct661ih8XY4JGrTbgFf1Zq7lWl4JmiR/u7grGjovl11+SiI31QqMxUlCgAyAszJ34tj489XT/Bk3U1q9L5amnNlFeZqCy8p+b8rg4b+bf0ZUpU9s58mUrdSYGDvie/Hwt3t4qPvx4NMNEWLNA0GQyMsqZNWMFZWV6bDYbCoUMjcZIXJw38W196Ns3lBsnt70g4aNSZ+Krrw5TVqbHYrFhtdqwWmyYzFY0agNqtZFytYHDh/IBWLnqJrp1C2rWMUwmC8OG/khmhppZszry8KO98fNzQaMx8s7be/h64RGiojy5+Zb2XH9DG/z9XHjjjd0sXHCYbt2DePfdEcQ1Uq3mQrDZbPy05AQvv7QdVzcFb741nOHDo1r8OE3px+LFibz+2i5Kq2bClUoZsbHeJHTwIyHBj3btfPHzd8G/arnUbFifyuzb/nQ8V6pkBAe7ERbqziv/G0KbNj4cOZLPd98eRy6XMHlKW3r1CqkVWWgyWbDZqNc8e8Xy0zz15CZkMilPP9OfadOvXZ8Bg8HCSy9u47tvjzHpxnjeeHNYs0XHppCZqeb+e9dy+HA+w4dH0badD23ifYhv44NMLmX1qjOsXJHM2bNlPPhQLx54sBfbt2dSXm6gTZw3nTo336upLnbtyuamKb+zfuMM2rXzrbVNqzU6zr1SZ0LlLEcikfDpJwf4f/bOOj6K62vj3/W4Ew8JEty1uLZAS4WWCnWBuru7u9uvRt1pgUKhpWiBYsXdQ4gTz/rM+8fu7N6ZnQ3QQkt58/TTD5vd2Tt37s7ce85zz3nOk08spk2bJC6/oivjzmxzVMaoCU1oQhP+K4gy+9bXcFEe4SJJ9CJSDof8gFACpIn8OJy2m8iPw8VhkR8DB2Tzw7fjmP3Lbmb/uov0tGiys+MwGmHL1gP8MNUn+HXPnf3o3Sud1NTQyhVPPLWEd/73J3ffeQIJCRHEx9lIS4uiR/d0XWO1ocHNZ19s5LU3V7JnTw0TL+/Cc08PO2TDVpZlCvfXUVFhJybGSqu/uMvUhCb81+B0ehgy4gscTg+33dSb62/+lXm/TmDHziomXf0z7domsWlzBVFRFsae3IpTTm7F8KG5xB6CErXHI3HhJdP5bd4ecpv79D1MJiNGI5jNJuLirMTH24iP8/0fFWXhumu7kxAfcdjX4XB4eOd/q3nhpWW43BInndiCM89ow0kj89i+o5KXXlnBzFk7sds9JCTYcDg8PHDvAK65qttRr1iyr7CW62/6hQULC9i4ZiLp6X+/Ws+horbWxbU3zmbqtO1cMKEDY09uRdu2yeTlxh1zlVrWbyjj0ccX88fy/VRVOQPvP/PkEK6+svsROUdxcT2jxn7N7t3VvP7KiVx0Qccj0u5/Cbv3VHPJ5T+xcVMFTz8xhMsv7XxUduK3bTvA8JO+JCExgvfeHk3fPpkhx+zYUckHH63jo4/X0alTM2b9dM4R7wfAjp1V9OjzEdOmnMVgf5nyPXuruff+BUyfsYMWLeIZPDCHwQOzGTQwh7S0aDZtrmDUKV/TuWMK33097phOXWtCE5rQhL8LdxhxkHD6H3oEyOGQH9B4RRgt4pJfAqChoYHp06fjcDi45JJLjhuHPkB+7Lnu6JAfuW8cN2P1T+CwVvxPJ5+CxWLiFL+jpMUpY1px6RUzOP/iaQA0bx7H+DPbcvWkbqT5S3g6nB6SkiO59uoeh3TOqCgLk67oymWXdObDyeu48555/DJnNx3bp9C2bRL5rRNxuyUqDtg5UOFAkmQGDsjG6fLyxZcb+XNNKWVlDYH2SvZd32ToNOG4x5Klhdx5zzx27Kxi3q8T+N/7a2jdKpFuXVPp3i2NU09phc1mZveeaj77fCM/zdzBV99sxmw20rd3BsOGNuf8CR3IyozVbf+hRxcxc9ZO3nt7NGePVwuJejwSNbUu1qwt5cprfubEEXmMHJlHzF/cWY2IMHPTDb246IKOTP50PVN+2MYll/9EdLRvbnjztZPweiV+nrWTlatKuOKyLrRu/c+UVczOiuWFZ4fTo89HbNxc/o+SH199s4mfZuzg4w9P4fRT8/+x8/4VlFfYmTt/r0prJibaQmSkBZfL+7fKocuyzNI/9nPnPfPYvbua889rz9hTQten4xmyLPPD1G3cdOscEhJszJ5xDt27pR218zmcXmpqXXz4/skhxMfadaW8+PJyfpy2neTkSM45ux0XX9jpqPUlMcFnSJaVB9f5iVf9zLLlRVx9ZTckSWbBwgImf7IegHZtk+jVK4P4eBuLFhfy3ZQtXDDh/x9R1oQmNOH4gainoRddEa4CjIR8SBVg6txecOsTIIYw3/fqcCJi1775bjNXXv0zI4bn0qp1A9XV1UyfPp36+nrGjx9/0D41oQl/FYcV+VGw65qDCrUokRbLVxSx6Pd9fPnVJpwuLxnp0dhsZnbtrmb40OZ88+UZf6nD8xcUMGv2TjZvPcCWLQfYV1iLwQCJiREkJ0XidHnZu7cGgP4nZNG+fTLvf7gWgLEnt+Kzj0/9S+dtQhOORciyzJ+rSykpqae+3kV9g4cFCwv49vst9OiexvPPDKNnj3RGj/2arMxY3n93jG47a9eVsnJVCR6vxNy5e/ht3l6GDWnOxCu6kpUZQ7u26nDyJ55awkuvLsdkMtCubTJ1dW5qa53U1rloaPCojo2MNGO3e0hOjuTUU1px1ri2DOif9beiE3bsqOSzLzfy+purOHFkHp9+NPZfyzX3eCQymr/BbTf35u47T/jHzvvyqyt46dXl7Nl+zT92zr8Dp9PDmrWl/LGsiPc/WsuuXdUAPP/MMCZd0fWQ2/F6JTZuqmDJ0kIWLylk6R/7KSqup3u3NJ57eii9w1QCOl4xf0EBjz7xOytWFjP25Fa8/uqJJCYcfoTVoWLDxnKefGYJ03/awSsvjuDSizsDsHhJIS++spxfft1Nbm4cN9/Qi/PP63DUNxs8HoncVm9RV++mXdsk+p2QRWyslS+/3oTHI7Fzy1UYDAZKSupZuKiA+Qv3sXJVMe3aJnHiyDzOGtf2b5FvTWhCE5rwT6HerWYULGGi4MOll4gEiEKYROuUphU/FxEu+kOPAPHoRJuI3frhx61cNnFG4O8+ffpw+umnc84555Camnpcpr1UF1x/VCI/4nNeP27G6p/AYZEfW7ddRexhqtRWVzv5/rvNlJY14LB7yM6OY8L5HYiMNPPTTzuIjbVitZooLamnX/8s3VSZxmC3e7BajSpHateuKkpLG+jTJwODwcDq1SXceedv7C+sY9WflzcZOk04LvDnqmIee+x3liwpVL2fmRnDHXecwDnntmf//jruvWcuv/yym/Hj2/HkU0NUz/Du3VU88/RSfvhhKwBXX92dCy/qxHv/W81HH60LHDdsWC6PPzFEJU5YVtbAV19uZPeeauJibcTEWomNtRIbYw28zsiIIT8/kTVrSpk+bTtTp26joKCGtLRoRo1qyfU39CQnR3+yXrGiiB9+2MrNN/cmJUwZ7OnTtzNp4gzefns0p5/R5q8O5d/G/ffP5+PJ6/jhx/H06HF4uiZ/BTU1TkaP+pKUZlFMnXr2UT/fkcTChQWcc/aUwN8DBmSTmxdPVmYMmZmxZGb5/82MISrKQn29izVrSlmxoog/lu5nxYoiampcWCxGunZNpW/fLPr1y2LY8Nz/VzofK1cW8fRTS1i0aB/du6dxz739GeRP+zga2LK5ghde+INp07bTvHkct9zSh/Fnt2P7tkruvmcufyzdT7t2ydxwYy9OOy0fc5i88aOBoqI6Fi0qYNmyIv5YWsi2bZUAtGmTxPwFF/5j/WhCE5rQhCOBBp2ys5Fmfd8lHAEi6bh3YQqu6BIg4aqzNBb9IfYlXDqMQwgJKSqq45FHFjL1x218//33jBs3Djh+NT+ayI9jA0ed/AiHZ59ZyksvLQt5v3fvDNq3TyEnJ5bRY1odUvi6LMvU1rqoqLCTlhaNxWLk/ffW8OqrK7BaTVgsRvbtq6V9+2R+mnFuQFC1CU34r6Ky0kH3bu/TokUCd9/Tjx490omKMhMZaQk4gA0Nblq1fEv1vVatEpg2/RzmzNnNt99uZuGCAtLSorj9jhOoqXHy+GO/4xUWvJycOAoKajAY4OWXT+Scc/9e1RRZllm1qpg7bv+NTZsqOO20fN4JE41y373z+OADX9RWZlYM11zTgzFjWpGVpU7FmTRxBosX72PpH5ccsfnpcOFyeTnrzO/YsuUATz8zjDPPbHvUzrV8eRGPPbqILVsqmP3LhKNSxeNowun0MHvWLgoKati/v47C/bUUFtayv9CnzSQiIcFGTY0LSZKJjrbQq3cGfftm0rdvJt27p/+/m8vLyxuYPXsXU6duY/68vbRrl8xdd5/AqFEtj0rkkyzLLFq0j3fe/pM5c3aTkxPHzbf05uyz22EyGXn33T95+qkl5ObGc9/9/Rk5sgW1tS5mz95JTbWLtu2S6N8/+x8npXbtquKn6dtp3yGFESPy/tFzN6EJTWjC4UCPvKh2enSODCVA4g6ymVuvQ6IcCgGinEePQKnTaTM6DDGjR4A4NPkwsixz3bUFLFiwgNWrV5OTk3Pckh9V+244Opof2a8dN2P1T+BfIz9mztzBnXf8Rnm5Pewx48a14c23RjfaTllZA6ed+g27d/tCqM1mI4mJEVRU2Dn/go6kNouiusbJmNEt6T8gu6kMWxP+s5Blmc2bKygoqGHtmlJeeGEZM38+l25hcvtlWeb777fgcnrJaR6H0+Hlkkt8ejxer0yfvpmMH9+Os85qy7Jl+ykuqqeu3kVJST0upxevV2ZfYS39+mVx+un5pKfHHLFr+fnnHVx26U+AL6pkwoQODB7SXFUyVpZlPv10A3fe8Zvqu926pTFqdEv69Mmga9dUPv98Iw8/tJBVf14e0Bb6N1BT4+Tuu+cx5fstulE2fxeLF+/jpReXsWjRPtq2TeLJp4bSv3/2EWv/WIDD4aGoqI4iPylSVFRHcnIkPXqkk5+f9I9GExwr2LevlpkzdzBzxg7++GM/sizTt28mF17UiTPOaHNUxG2dTg8//rCNd975k40by+nQIYWrrurOGePaYLWakGWZO+74jc8+3cBVV3Xn7nv6ERFh5u23V/HsM0ux2z1YLEbcbon8/ETeffdk2rVPPviJm9CEJjThOEZUmDUsnCCpQoIkRQRLu4eL9NCDlvxIifS1U6lDrsRZQzcT9MgPOHQC5FDIDwCr5UG6deuG3W7nvffeY/jw4ccl+VF5lCI/EpsiPw4Lh0V+rNl05SFVgvgr2LWzip9n7GDh/L3YIswMHtKcM85qQ2JiZNjv1Na6uO6qmWzaWM6DjwwiKTmSXTur2LGtkrPPa0+Hjs2OSl+b0IR/GiXFddx/zzzm/LIbAJPJQF6LBL6bOv6wJtKvvthIWWk9p49rS07zOPYV1HD/3fNYMH+v6jiTycC2Pdep3pMkOWQH98ABO/N/24PZYqRV60RatkwkQmc3vrrKgclsJCYmOH80NLiZPnUbX3y6gTWrSzAaDXTpmsrAwTkMHJRDtx7pWK0mGhrcvPbyct55c1WgbxERZurr3RiNBswWI2NObsVLr510yONwNPHDd1t44N55JKdE8vJrJ9HtCKTBXHvlTH6esYP2HVK4/qZejBrT6v9Visf/N8iyzHffbObjj9ayfm0ZFouR/gNzGD2mJSNOahE2DexIwG53M3bUV+zaWcXQ4blMvKo7/fpnqTYOPv90PfffPY9nXhjO2ed2AHxzyz13/Mb4iztx/sSuJDeLZO3KYl55fDFVFXZm/no+ycnh1/MmNKEJTWjC0cPOHZXs3l1NdaWDBruHU8a2JiHx8PWhos3GsNEjWoTbb66rc/HHH/txu71kZcXSo/vruN1uLrzwQnbs2MHq1atJSEg4bhz6JvLj2MIxQ34cLpb8vo87bp1DTbWDN94Zw6Ahzf/tLjWhCUccsizz/bebeezhRVitJh58ZBC9+2SQ0izqiOz4fvnZBu69ay49e6WTkRXL9B+3ERNr5a57+3PBRb4KDR6PxGMPLeSzT9aTlBzJ62+Ppk/fTN5+YyUvPLtUlSZjMEB2Thy5efGkpkaRlBzJ+rVlLPtjPxaLkZEnteDM8e0YMkytz1C4r4ZFCwpYtLCA3xcWUFXlJDraQpu2SbRomUBeiwQkSeazT9ZTVtrA0OG53HF3P9auLmHL5gquuLIbWdnHzqS/Z3c1N18/m/XrSvnki9M54W9GaFxw7g8U7K1m7qKLjrkytk04sigvb+DeO+fy6+xdnDiqBaecms/Q4blH3GAKh/+9vYrnnl7Kd1PH07lLqu4xjz60kG++3Mjvyy8lLs6GJMkMHfAJbTqn8PCLI1THHihv4NwRX3LDLb259vpe/8QlNKEJTWhCEwQsmLeHSy+cpnrvvcljGe5PC4z2R6SIESYKDjjcIe8dLvnh8UisWVPC/PkFLFiwl5UrivFookKioqKwWCw0a9aMFStWHJfkR8Xeo0N+JDdvIj8OB/9J8mPd2lLOOu1bevXO4NkXR5AdRjCxCU34L0OWZR59cCGTP1zLGWe25cFHBv0llr4xLFtayB23zqG2xkl8QgSXXt6FcyZ0IDIyuAB+980m7rhlDl27pbFmdQkXXtKZR58YwkP3zWfGT9uZ8csErBYjO3ZUsn1bJTu3V7JnTzXlZQ2Ul9nJaxHPSaNbUlfnYsp3W9i8qYLW+YlcdW0PTjujDRaLOlTS65XYsL6MJb8Xsm1rBbt3VbNrZxWVlQ7VcZ99dQb9Bhy7aR9ut5eLzvuRwsJaZvwy4W/Nncv+2M95Z33P+5PHMqxJw+C4hSzLjBj8KbU1Lp56bjgjT2rxj56/ttbF0P4fM/qUVjzx9LCwx5WW1DNs4CdcekVX7ri7Hzu2V3Li0M944f0x9NZ5Jh+86VfqKx189f1ZR7P7TWhCE5pw3EOWZaqrnOzdW03B3hokSebksa3Dbow4K50MHvYZnTqn8PJLI7n44um4PRK//nKe7nf+LgEiyzI7d1ZRUVjL9p1VzJq/l6WL91Fb4yIm1srAgdkMGdycQYNziIuzUbivlvr6s9m7dy9lZWVcfvnlx221lyby49jAYanF5WU+968ObE3FLQA8cNdcUpIj+fGbcYEyenr5cnrviflnCu9jDhM+nhIZOgHUuHx5bi69Atb+NvfvryMzMwa7RyY92qp7fIRO3p/LK4ctIwUQ7QpOPlXm4E93OOWoAm35c/PCqTGLY6ItV6WtFe4Nk6uoQG8cG4NBkjGE+U0adMY9wh3MXTRYhXNJocdW61xujSs097HWFZrPqFc6LPIQNQj0Rln8iZQxVkSmZFnm8ccXM/nDtTz37DAuu7RL4NjkZi8f0jkPBS3OglOH36p6T1vz/ewxrXnr1RWsWV1CdlYsTz4wgOQoC/17Z/LJ5HU0i7aSkBBBbmqMbplRcdyuu7YnK5YX8frrK7jjljm8/MIyJn9yKq3zk4LPq8FAx86pdOzs23VW7q6qKgd7dlWxa2c11aUN9O6cSqJNPYV5ZfmIjs+hwFF5W9jPJr89ht4DP+ax++bz6ssnhpT9VIamzB5qWACB6ysrqQMgId6mum+aZ772N3rehGMFU9dNDLwuK7cz7tLOnH96G5b6f3cFAzPUYr96edsVOveSsg6JcOjM/V89OIuGOif39o4gYd6qsP1NAMb3TWLm1+t54gQbUfsaAEKITAVmixFZCu4ugv76XNzgIkanjVKda8r16+k0ZoCD/hqnnbfFHHS980f55+Vweflu/1pj1XEkzJp1wymcKzrMeAHoLYF6v5nF6Dvn/npnyGdZMaFGtt0jEc480FunYoU+HmSp1+2z3pho4ZVkqnTWYZtR/d1IszFEL8Crs39Xo7N+R+j0Q8+O07ant+7rXZOezaX9rt5Wo1vHTjHqnDNc+oD2npDRt2n1yo5q+6gIXoYxb0Og9F2vv6DWi6gX+hnujjAYGo8oaOxOiraYwtryoK8zIcJmNIa151zCbySeI1yT9Z7Q+w/C99/kb7PSEXwG0qKCc7bT6eHtd1ezfGURu/dUs3t3NTW1LlUbVWV2rru2h3AuA6Wl9Xw4eR0ffuQTjn/rtVHMW1TAmrWlfPftuLBkyQGHO0CAKLZJmlnnnrSpbXuvV+LrH7by4qvLWflnCQBWq4ku3VK5bGI3Bg7KoXPXVMxmI61zXg98r3On0D7U1NTo9u2/Dhk4xKCZw2qzCYeH/5RUvmJ4dO+exuSP1zN4xOd89+2ZxCRGEKNRPD4Y8QFgMBhI0BH4qXV7GiU+IHTxq21w89O0bTz3zFL276/j1pt788B9A0KOj7Oa8HgkthVUk50VG8ijVggMkchweCXirCYV6aEgweNhr+T7rt6iLr6nN+mXNAQnTj2RI9n/OOlN7gcjO7Qo90+ejZEgBk2bchgCxGo04pKkgMEH4LVZMetZFUajLgGiNW6iLaYQUahYqymEAPHKcogxU+/xhlW5PhjCGSMAL7zwB2+9uYpHHx2sIj6OBqISXwz7WWXZLcQlRbJo/kWs31BGenoMMXEROD0y3Xv6hFZXripmxPA8at2hxque4TiwXxYD+2WxaVM5E6+cyXlnT6FVywQioixERVmw2kxMuLATPXtnqCb1hIQIErqnM7J/aDlP8TetKLsZOLIkUWOISHwh8FokQhxeifTsWJ5/bjjX3/gLy1cW8dD9A+l3QhYGQ9CYNRoNJCdFBtKAtPeFy+XlhWf+YNRJLejVO4Nt1T4nZ0T7d4/ylTXh30B6ThymSt9vfEJaUGTY5ZVpcKvns1gd51nZoWssplPPiY5esJpFG6uIjzIjGY0YhHkt4dwFgdeVn/nWtYJyJ+2yfNojrdMjSEuN4pfp2+nWR02A1te5WDqvgOuv6h54LxzxAWohPT0iQsHBSA8FokNj90i6Do5i6Ifb1Agn+gcHd6o8sowR/Wuud3vDEiCSHEomRJiNeCWf02nREAOZ0bYQAkQRRtSSAV4ZXQLEiI8ASdes1bXuQ/SGNXBLMlZT6P12OIKNIuweKYQEMBkMugTIX8GRagf01z496I2sQ3CeoxqxL/SeY5PBEPLs612XXv/q3ZLq2IPZNq7APe37V7E79Z6XaM1zqIVCKij3pUt4XpRnWryLlf6Lz4+4dirtKV0RiTSnSGb42/HKMnVur+6c0+CRdKuqKGa2MgWU2dWERJSmLYkgAVKteSa1v4Zioxdtq+Tq62exbXslA/tn06tHOuPHtSU3N5683Hjy8uJ58rklPPX0Yk46qQX5rRNZvaaEd99dzQ8/bsNsNnDeOR2YNLEbv83dw8OPLWLMmJb07Z8dmJNMOs+jdkOmxCOHECCy043BZqGuzsXHX2zgxddWsHN3NUMH5/DtZ6fTtUsqmRnR7G/Q39xpQhP+LfxnyA/FoQF44fkRnD+hI6PGfMWsObs5a3w76oSJRI/9dekYHnrEB/gmU3Fydngk3clBwaxZO5k0cQZuwUDYWxDKWr768jJ++nknazeU43B4aJEbT59RLbjp4s7k5yfptl3j8lLjny4zhGVSIT4gaHxFmIy6E3SEKbhbUqezI1Lj8uCWZFKjQskJkxGqnB5iLUqEzcGNICWqRbswl9vd2D0SObE26nWMqRiNNSYSIB7h57MajSFMp8dgCCFAqj3KrkTwPaPBt0uhNUT1CJB4m5lqpwebhlxyHcIYaKEYlYeCBQv28uILy7jnnn5MnNTtsM91NBARYaZXz6BTIyHTqmUC8fE2li7bz7DhuYF7RITDK4V1HNq3T+HzT0/jnXdXU1XtpKHBTX29m3lz95CcGMFgHZ0MPcflSBqsfxcqIqTcF6l27tnt6d4tjQcfXsjlk2bofq9du2Tuvb8/w4blBghR5b779LP17Nlbzf2vjgwQHwBzNl0JNJEgxxsymseyc3fVQY/T22neUxtMDVN8mzq3lx3V6qpqKUJYszi/vXZ1G057bB2nPrqWz27vSKfcaBXxoUCWZVZsr6N3fixbChtolxvLbdf34q6HFpCTF8+48ztgizBTuLeG5x9cCMCVl3UhatNunC4Ju91Dg8NLcXoqaWnR2C2h17Kp2hXyXm60b47J1oloCDrUhhASo7EwbtFBETc1al1e4jXrqTjkXjmU+FDshkizMWSXV+mfuPbEWhuPqlAIEC2/oiU+FOTFRbC7xkFenDo9Ms5q0iVAoi1GrGHaEhFrMYYlQLTrYcgGgdsb8p5bkkMIkASrWTf6oyHMLrq6D4072+GO0UKvGqBelIceeROyDB0C9+HUsSW0926DJ3T8wvVBLwLDrjN+yiZbvE7kpIh6nXMrBIdedIPDKxFhMmI0GBolDCMPEgEGYDUaAmRGY3eAHoGoRwCJUM6uN14K+erRNKA8P6KNLZIt5TrRaQ1ub2B+0UaAaSGjvmVcLi/vvr6S119bQZt2yXw//WzatU8JfC5GTtx3z3XMnr2LK6+cSVSUmT+WFZGTE8udd53AyJNaMH3adk4781ufXtqwXB55bIjq3F5JDvFxDAbfPS1JMmvXluLxSJzcN0P1jGzbUcnz76/l6682Ulfn5pRTWvHaW6MYccKxm478b0OS5Uafjb/aZhMOD4el+fFv5ROVl5dz7XWDqTxgp7raicPhISszht/m7iUy0szY0/K55roeZPsFDxsLfVMgGnzi5K5N6YBQJ14xWBo8ElN/3Mq1184KiD6+9sqJjByepyq5WeFw0zI+ghad3iXCZuaqy7vSPCeO//2wmd9n76a+1kWzjGg6dEvj5CHN6d4rgzZtkzCZjHi9ErW1LoxGA6vqg5PrAE1JT6vWkBAWtSida9prDxoZ2sVHS4JUCaHVelEmRoMhbJqNOHYioaRnjEKQAGnQ9ElLQIA61Gt/nc8p1C7mwT6q//ZK6t/aiEF/MdfZodAjPw4l+kPPiNIaz06PlwvP/gGXy8vXP56FwWCgbfM3Dtr20UJl2S267ytjd/OtvzJ71i7+XHE5kZoqL3o7onqTtHbR7d9vMqPHtOKBBwaq3tfblXV4JTw1Lp544ndOOy2fE0f6NBL+6dSXg6G45CYA1qwppay0PmCYyci4HF7e/3AtS5cUMnBgNg88OJD8Nkk0NLg5UO3kjFO/oeeAbO56amhIu03Ex38fcpU6beq+xxbx0Zcbmb/0EtX7WuKvuN5F+yR11ReR/FCgLUmYojP3phcUB17vK2ngjFsXsWVPLRNPa8H9V7QnOd4Xgu3cWxo47o6PdvLVojLqHF4GdYznw5va8fyUAt75eT9RURYSEm0U7qsjOtrCoP7ZFOyoYMueWjyakI3ICBOXntWGmy7rSMvmcaw1+vqnR34MyxAiYYQ1IlwkQbXTo5v6IY6L1l7QRvxpCRDteIrOgPY30qMVlPkuXJ8lWZ/YcnpC504lGvFgaa5KuxCM6lQQjvyIENosrHep+i5C7zr0nHWTsMPua98YYnvotVWhozWgxV8lP7RRrHr0jtbmOdSoFe19pbceii0rn2rXuUMlPrTRFFaTsVHiQwvltxXv4XDRK3obDnq2oa8fvjb0bCktlPshXFSsXvStCL0oZnX7+n1QSBBt0+GIGQhfslYhQVoKBGS5I5TUA3XaojjuG9aXccvNv7BtayU33tSL62/shVfnukUC5KdpZzPurO/p2SuDKyZ25YQTsnjt1eVMnrwOZDhzfDuumNiV1v6NVvH+VHyrVq0SaXB7sdvd/L5wH8vmF/DTrJ0Ul9QD0K9PBjfd1IehQ3K4+tpZ/DB1G4mJEUw4vwMXXdyZHL/+YlbGq2HH7VDxb/udRxrK9ZTuue6oaH6k5r5x3IzVP4H/BPnx+ZdncMGEHwN/R0dbqK93M2hoDu07NuP7rzdRU+Pioos7YYowU7ynhl27qmjVOpE77jyB3Nz4kDa1zrTJYFDtOijsrt6EHWs1sX17Jc+9uIyvv93MyWNaMn9BAedP6MBTjw8NHFdV5WDB8v1s2VzBls0VzJ2zm5SUKJYsuiiQy+1yevhzcSHrVxaz8c8SdmyswOORiI62YDAaqBPy+lKzYmnRIZkWHVJo0T6F0/tnEhtnIz7MhK8sBDGG0J94v9O3KIbT/JABWxiDSmH29SAaYaJRJabZKKj3eMmJiQi8VqAXyg3B30zcCarUWVT0CBC93TM9HAoBkmAzU2p3BfQ5QN/IteksjtqnTWsQ7dxRycghn/Hq26M4aUwrgH+V/NBCS4bs3FlFn/6TefSxwVx6WRdViK722vSIDz1jpe+gj+nSLY2XXhwZeC8c8bFowV5uv/FXamucmM1GPv7qDM4cmqc6zhz//CFd2z8FhQgR7w5Zlpk1exePPrqIHTuqVMdbrUZmz72A5rnx7KxpSnk53qAlPz74dD2TbpzNuq1XY7X5nie9iKfievWcqiVCQB1NsKnSZ8BqyQ+R+FDgsrt589sd3PfWBk7qm8aU5/qpiA8FTsnArFUV3Pr+dlLjrfRsHcvWUhdb99ZRU+9Gln1OVcfW8fTqkESn1vHEWQ1ERZqIiTQTl5XE1F/38OL76zEaDcz+eDR9RrdTnePHPVWAmvhQEBEmlL5aRwsFfBoYWvJCC701UXF0nGEWkZRICxUOT6MaUHoOq/KenkMaZQlty+mRdR1PvfPWuLzEWU0hESVa8gOCa7V2/dNNq9Bch/a63JIc1hEOacvQeFtw+OSHYoJoh1RvjLS78VU69402quBQyA+9DTjtenioNbvE65Dk0IgZ0L9n9cgWPWs/XFSz8q54/eGiLJXfUdu3Q9kUEyH+jgcjpsTx0xJb4hynja7Rjrtog4TT6ghHgogEiBjNnKETRQ1BEkSMKhGJHq9X4tWXl/PqKyvIb5PISy+fSMdOzQKfa8dNJD8Atu+8logIE999t4UnHvudujoXV1/Tg8su60JcYgQNlU7e/2ANSUkRuGPMxMVHMH/2Ln7+YStOh5fzL+xIUVEdixftw+n00qJlAuNObsXYMa1osHt48rmlLP5jPykpkdTUuHju6WGcPb4dkiYdpon8CIVyPSW7jw75kZbXRH4cDv4TaS+DhzRnwe8XMfnDtcz6eSf79tWSmhbNoCHNufjyrlx1XU/ef+dPPnpvDdExFnJbJNCqXTK/L9jLjCGfMnXmueS38bGddo+kEhJSoA23rHF5ibWYVCSJ0ytRWlDDLc8u5bspW0lLjeKZJ4eQlRPH9J92cO657Skpr2f5iiI++2ITv/26C7dbIiLCTH6bJAYOzmGEvySvmMtttZm56Iy2vv7Z3axbU8ra1SUYjAbKMRAVa8Xt8rJ7cwW7NpYz5d3VOO0engKa58XTp18ml1/ZjS5tfSFxWoeyTjZwwOGmeaQ5QHooUAwCZfEUp3inf9UVSRBZDh6rl6ussN6Z0eqHOy3KSpXLg9P/XWWRKahzhESB1Lq9KgJEDCdM1AhGJkaYQwgQu0fSZfj10jK0UFKEROMlxmoKMZIizeFzOf8ODhzw7dz26Zyme5/+m6gouzlEDHX2r7uQZZkDB3xh9QoxpUeOacM69YiPSqebvv2ymPPr7sBvKIp6bt5zXUD0bu3qEq6f9DO9+mbw2NNDue+WOVw/cQZdZk+gdcvEv3m1Rw/paa8AUOonQcC3ezx6VEu69s/kt192Y29wEx9jIyrKQstWCTTPjadF1mu0yPq3et2EowVDQjBVSq66jdYtEpBl2LGjkvYdUhr5ZhDF+2uZ89VmLru4M9HRvvlUa6+3T4wmsqYO3GrSxN4mWCbetHUvAFaLEbt/rbjitDxd4gPAZpQ5rVcSbTI6cd3b29hc7CQ7NZLEWAslB5yYjAaSEmyUVzmZv6KUvUX15DePJbNtGs5aL1Xb9vP5d9uwWIxcdEZr2vTLCzlH/1QfqeP0Sqr1WCsarqxl2vRFBTl+gVRlY0NPFFNsR1nnRAdHOb9Cgog6Vsn+takhjGOnTfWweySUZCQ9sqDBLRFlMaocVp8zaQhxdu0eCYdXCiETalyhGgYGDMjIqvvD4ZUOK33QKZzfSSjRr6Q/HC5qXJ4QJ9dkDE1h0IqUH6rw+JGANh1CD5KGeTEZDbppTweDlsAxGgwh73llX8qCSBboER96m0KKXaMVThbvIuV5Ep10RWNPL50JwkeB6GlMeCVZNyrHdJDxUk7t1CEOyx1uUiIsumlFEo2kvPvtunBabpVONzU1LsrLG5BliIq2EBdrJSrKoooAK2pwU1JSz4zvtvDBp+spKqkjIy2G9PRoklIiueDCTgzx+wJmIb1n08YKXnxhGVnZsXz69ThSkyJV59eSHVrU117FReefzNI/9nP6afk88vAgsrJ8Itkmg4H7nprLN99uxmQyYPdHfycmR3Lhld3wemS++mgtXbqkcusdfRlxYgtatExQpdCNHpnH/EX7eP71FZw5rg3jz/QR1eHm3CaEQkLWzTD4u2024fBwzEd+7Cu6UfW3z9FyYIu1hORnOjxe1XufvLOaN15dwe/LLiE+IYId2yuZN38vZ5zte2CjoiykRVkDC6nBYMDp9GI2G0jQCQ2udXuZMP57/li6n3FnteXtV04Es5H9+2vp3uNDEhMjAuU427ZLZvy57Rk0tDm5efGYTcYQx13BgTAhcfnCRPfpqssDr7smWNm1o4oN68rYuK6M2TN3UlHewOjT8rniuh7k5MbTNlG9CyiWqdLuSogLj164oWJY6AmdSoQKzCkQCRCRXNIrmSUSIGJzejv+2nF0eeUw1X4aJ0AaM/a0Bo5evmatZsJXlnuxXS1JorfrKIZV//bbbiacP5XFCy+iXdsknyhvykth+/lPQtHdMWJAkmQefHghb769imuu7cE99/YPCHbqER+HYlgrkSGzZ+1k0uUzmD1nAq3bJgPQIus1Nu+5LnDsvoIazhv3HTnN4/jw89PplB5LxQE7Q0Z9QV29m1+mnUN+q8RjLuojHDbuuTbsZx1y3/wHe9KEfxu1JTeTlf8Wt97Qi/vu7AeA2aueN5y7fdEadoeHlz/ZzHOTN2O3e+jZM53vvzyD5KRIXQ2JyBp19Rh7XGg0hdPr5YcftzHpypncc3c/bru1DwDG2csb7bc1uxn3vrme96fupt7hxWQ0kN86kezsWHJijcRGWdhZWMf2YgcVB+zYbCYibGZOGpHHpKu7B9JWIUgyaAUEQV3BRJxPwxngtS5vgPgQoezy61bWaOQ6RdJWG0URjvgIHO8/PNx8GGEy6l6Hnlh4hcOt23e9tIAYiylkbdcL3tT2S9lp1ka86J1DL9JRcYLFc2vb0kYL6I3gwcgPCCVAjkTkh94Gz8F0TBtLdWoMWkLrUAVTtb+ZNsLS7pEaJT5EKHaU9h7UswuVa9KSa3rERzjnTGtTirao3nNgNRnDViqCxje4nJKk+9uIz7PJaKC62slX322moLCWkpJ6SssaKCmrp6SkgbLyBpzO0H6ZzUZiY63ExFiJjbUSEWFizZpSrFYT489oS5dOzSgqqaO4uJ5pM3dw8smtePmVEwHweCQqy+zs21fL5t2VvPfOn2xcX07bdsl8OeVMurXTj/JctztoM6TbLLz48jKee+EPWrVK5JknhzJwkFoYfsGCvZw74UcevH8A113Tg5oaJyWlDdTFmrFag1UGtXpKIvlhjPvn7KnjNfKjaPe1RyXyIyPvzeNmrP4JHPPkx8GwZa/PIRIXVCUN5L13/+T5Z//g2ht68vvCAv5Yuj9wTGyslSdfGM6B0gb+XFVMq9aJzJu7l5XLizjr3PY8/swwIGh0KI7urp1VTLpsOrt2VvH656fRoZuv4sUHr6wgpbqWnAEt6dipGXkt4lVETH7O6yrRVvjrugRaR6myzsWULzcx+d3VVFbYGXN6Pldc24Pk7Fiah8l3Vq5Lr4SgR5LD7qQY/J/rGyiaXGL/IqgXAmoxGgKpMIm28FVgQE2AKAuVnvEYjgBpTC09HPR2d7Rl9/RCJLVkjZb8gFACRCQ/5s3bw7nn+VK8oqMsZGXFMP70tjxy/wDVd/4Np168fx97/HdeeXUFt9zel+tv6qV7vHLth7qjqPx+NTVO+nT/AJfTS3JKJCef0pp7HxyIzWaips7Fr7N38dpLy5AlmS++P4tuLRICbRQV13HK6d9RU+tk9tSzadcmOfBZg8dLXPKxQSSFg/JsNxEe/z7OuUIdultbXcIONmOJicFgMOJ1OvE47Hz38CN06XLkKjK5q2/n4kk/sW5DOSsWXoRNT4dqVxFT5xZy10t/sr/UztVXd2fEiDwmTppBRkYM7397BmbNHN48Vi2CGV/XoCI/liwt5PlXlrFiRTGVlQ5OPy2f9/43BoPBoFqrlGovWlizm3Hi9QtpcHp55vpO9DizeyAKRYESxSca2OHIfwWio6un36HExxVoUiv11hUZn2ZAuFQKo8FwyMSHCI8k6+4yB86rMwWK86Lo+Gr1uxT4UmtC+x2OANG+rV2/IOjIi5ECFqMhJLxeL91HrZXmQ7iU1cba0kvj0J5NGSrRsT9Y+omW/NBzmrWkhDb9SG8DRUtKaAmSEM2Ov0B8HAxa/RQRWvJD7/7QIyj07CfxvhCjffSuSbFjtGK84Ui2cFUDlaiSglr9ykUKRLtS+7slC5tp2vOHs9FsJgOff72Jux+YT8UBB5np0aSmRpPaLIrUZlGkpfleRyXYSGkWhdEIdbUuampc1NX5/q2vc1FT6/t3yJDrOWfsJhIS1PNuq87/o67ORXS0hepqJ7WakrWxcVYyM2Np2SqBJ58fTnS0VbURKpIeAAV7qrn31jmsW13Kbbf04bZb+gTIDJ9GCrz9zp888PBCBg/K4ZOPTiVKSMtZf6CeQW2PvTTaY9nv/CtQrmf/rqNDfmS2aCI/Dgf/efJDiz2FNwRer11TwqTLZ+B2e2nVNonxEzpQV+visfsW0LlrKuvW+EJ5MzJjqKl2Uu8XFP34qzPo3Tcz0E6SP9LA65V45ZUVPPvcUnqckMUjr44kOiaYmtC7RB0avL9ltmrSOhpYsf3qwGuHwxMgQQ6UN9CqbRJde2fQuUcaMTFWMmJtmExGUvzsdGJ8BGlpUZhMxgAJog0H1Dr4KjVqzeKV6N9d0ItuEBcqSyOLlhbK4qsXpng0qnyIuw16O1kHI0DEhdXt9mIwGonV7Lo0ZpzIssyGtaXs2VvD/v11rF1bynffb2HZ/Avp3jUtcNw/TX5oibtp07Zxw02/Yoswcd+DAzjtjDa6SvkQGn6vGL/ibpTW8NpXUMPaNaWsW1vKh++voUOHFDp0bsb0H7ZRU+OkZ58MHn9mGIOFMVFQWW5n1OnfUFZuZ/bUs+nYPkW3YsCxToQ04d+FSH6Ul+xiwaw38XpCIxHOPPNMvvvuuyN2Xnf17cyes5uxZ31HVmYM43slcN7gVDKSbGzcW8+u6GS+/WYjc5eVMHpABs/e1p3MgfkArFpVzEmjv+LBp4cEIhwhlPiA0Ll30kU/sm5TBZed157OfbMYODAHs9mIdfnmwDGeytqQdqzZwZz0+97awKtfb+fMoVmYkmN57MGBZGf7wq71qiEo4qIHS/ETn1/x2HDfKmhw6ZIfov8kEglaMWrRMdNzsiPNJuo93pD14HAIEGX9Cuf4Wo36Itx6pTiNBkNI6kIznWgRpb+iFoNbkkPSJPQcU6dOWo2254dDfogOtHZstKTDoYp+itAzLbQEyOGSH3r90JIfB4uw0QrMuiTpsMkP0K/cF2k2qs6nR3zobWzp2WF6qTPatC0FWlFg8I2t3niFKycdo9MGhGobiTAbDWFtyDirSVdkHkJ/x42byrntzt/4fUkhZ57ehueeGEKOEIlm0dhbhZqIdAV6Whfu6ttVc997761m+7ZK4uNtJCRGkJIYQXp6NNlZcWRlxRAXa6NcQ3Jq/Yh1u69FlmV+/HYLTz+yiKTkSN54/SR69FKXGfd4JO65/Te+/HoT11/Xk4fuH0BK+iu6fT/W8F/yOw8FTeTHsYXjmvwQUSM4tTU1TtISIvjmq03k5sWT2D6Zqgo75w/9nIceH8x5F3YKHJsUYaawsJYvv9zIF19sZF9hLSePbU2LlgmUljaQnR3L4HFtGOkKLW0bPeSHI359jWHF9quxeyWcDg9zf97Jn38UsXp5EUX7Qg1WBQP6Z/HpV2cEUhb0wgadkhSWpXdJcoD0EBGiiO//V5unDeqFd7tQklGvnKFIgig7glrHOSFMxRcFiuGn/Z6eMaElQPTID6tRTV588uUmPnxvNRs3lGM2Gxk+Mo+rru9JB79wVaxmkdczUBQjw+OR6DfgY3p0SeWrj08LfK5NHdKaE4quxNHCnsIbKCmu49GHF/HT9O2cPLYVr7wxKnAfBfqlc9tod/70TCHRwF+zuoRrr5yJxyMxbnw7zhjfjhYtE0jQSSNThM7KyhsYdfq3lJTW8/P0s2nVSq0B0kR8NOFQcM4Vr1JZXsC8ma+TkJxF9tlj8Dqd2MvL2TltOraEeHav30BqamqAiO7V+u2/dU539e0ALF9ZxCdfbODLLzZQVR90bM0mA52aR3H3mTmc1D2JqK4+YWRZljEYDFx4+wKWrq9g68rLiYy08Gd5XQj5oXUYZFmmc4d3uf7yLjx4a28AGtbs0O2fSIAoxIfbI2ExG3F7JD5b08D1t80BYO6McxkyMIcqh4dat9o511ZVgaCjmBoZpDUU4qNofx3ff7eZoqJ68vPiOf+c9rTMjFW3qeNYKRoX4SqQlNpdIU6SaBVpHWbxDNr1QAnvD6dT0Fjai+JMiutJOAHGGIspNBVEZ9NBIUC0/dQKUWpTOJX1RztmekKy4QgQZZ2rdXlD0i60ESx6VujBiIfDJT8sRsNB9TqUvit6MAfrw8GIDzg4+aH3Gzu1KTCaaw1HfGghEgp2j3TIxIfJAPWaPuiNt7KppW01XLSLnh0pkijNhIiEvTXOkGOV+1Yvmli5jjgdEkV5vrW/X22ti6efW8qb76yiRV4Czz09jBHDcokwG0MIj7+LouKbwn4mRuIkNtO3TQoLC5kxYwbr1r7Dzp1VbNteydatBzj33PY88thgYvwbseIIr1pZzOmnfsOtN/fmvnuCqcnHSip1Y/gv+Z2HAuV69u26ljidNMy/1Xatk+wm8uOw8P+C/NAzCjrn+cLKf94wCa9X4ruP1vHhS8uZ/Mt5pGbEYC9vYNbUbSz6bQ8b15QSEWGmefM4CgtrqatzExNrJS8vnu3bKklJjmDJnAvI9KvR2//c/o8THyIWbrky8Lp3aizlFXYcDg9er4THI+FySewuq2Pbtkruuv03XnhpBOPPaR/4TrgcUQguXlqCIYRIcHuJMBl1w2VFAiRJMMIWldWHHCsSIMqtqmfEhiNARMY9MyZ0n/BgBIjezkFjOaePPf47r7++kgHDmjP0xDxqql18//kGSopqufL6Xow8sQW9u6WpoiQ8khxyHtHQ+OzzDdx8y6/Mn3UeHbv7Ih0OpoT+T5AfCqZP28YN187i6ht6cr1fH0CBIpCqGCuHQnzoGUgWo+9gk3+c9IiPNM09WVbewMAxX+F0eZn90zlk+J/PJuKjCeFw10NTVH/v2lfA7B+exWgwMuTk6ylqXo2rro7173+Au64Oo9VKhEXGAJjMRh56Zii3XvXz3+qDQn4oODBtKXPWVFLn8NIhJ5rWqVZsQiWQgtgU3vtmK9/O2sPJQ7K5695BdOjzEU89NJDbb+yNtz60/K0pWk2GbFy9n45DvmDm56dy4uCcsMRH7MnBayv/pD8/Lqvgq4WlzF1fzbihmXzy1TlYrSY+/HQdE6+bxYG9NyDb1M7I7lofwa11AvXD433/fvPROp58/HesNhOZzeMo3FODxy3x3FNDufKKrgHRay2xHHLdBn2nXkGVy6PriPu+oz9fgY9c0NM1UNaXcFEfCpRowHDnDifAqIcatzck6kMv5SVQgrSRMmh641StKc9Z75FI01S30H5PS/Drpe+I1+6VZdI10UCFdWpnOD1a/ble9ISWjDhU8kOBVndCm9KhvQ7t5o5B85leWWEt+XEw4gPU0aMNbn1SI1wkhYhwxIcWFp1qQHoERPD4xiNqlPOEi3iRCB0HCBI82tsyy6sm5SqswXsjUUiBUdK5ZFnmuylbue/B+VRWObnr9r5cf00PUjL/fpWSxqBHgGQ0Eokxe+OkwOsnbpvDwlm7yMmOo2XLBFq0TGDk8FyGjMgL+Z6Mz5bdX1jL6KGf4Xb7Kkj27p3Bxx+dSmSkmZTUl4/AFR09/Jf8zkNBE/lxbOE/Ue3lcJCb9Zru+2KeXLNIS6DcZP22Sm686Rf2761h6MmtaJYejdPh4Zrzp1JT5aDPwGzufWooUmkDT724jFuu68mkizuzu9rBlx+tY8P6MqIEQ8MY9zzRQ47uNR4MSv6eo9JXQjElWa0YXWp3kZwbS89eGSxaUMAzTy+hZ68MWrRMCCxGioEjkiCNGV8Wf/ihYtQpTLZNhwBRcrxba/LBBzaLVhEgil6J1lDUq/UuqqmDz6DTEhn761y6BIjYVrzNHNL2wUojKti4qZzXX1/J9Xf25cKJXdm8oZznH1lEYYFvp/StV1bw5ssriIm1ct/9/ZlwQTDCqLH68med3Y6PJq9l0g2zGTkij127qti5qwqA3r0z6Nsnk159MsjNjQ+benI0MfbUfPbsrua5Z5bSvVcGAwb7hLbEyjAeScatY3gqBo6tEVHdwC6lybezqq0OBKHEB0B0UiRTvzuTkWO+4sxzpvDztHNIToqgofLWwDFRiS8expU24f8bzhq/iG8+KOT5t0Yx9MSdRJiM7N5ZxWPL40lplkF6diyxcTYK9lTz3ecbMR2BqhPaHce0C+H8C32vlXVr6qydrF5dQnm5nW+//oP4GAvVdW4qqpy0ahHP6BF53PvoIlauLmVE/wzOPT0/kOetJT5q5q1h7q+FGI3QyVBL/cqtWJunBj53768I6WPlZwO4c/JOPpxTQu/8WK4/OZM3fy7ijNO/5J7LOzDly010zk8IS3yAL9wfIMYipr/53iu1ewLVU+b9upvHHlnEmZd04oJrexAVbaW+1sXk11Zwyx2/kZYdy2B/5QQlmsRkNKiqtGihXUOUl0oUo6hDEq0pOSuKmoqkghGDigAxYsBm1CcYTAYDJoMvclJ0ZJV+yLI66tBmNuo6g4H2hLVPLxLTKUnYjEZEjt0r6wuFi1DGSVyDY6wm1TwdfQj3vCTLGA2GQLTmoZZrbQzF9S4VARJpNv6l9JF/Cg6PhMUaSgqIwqOHUjVDmzarR/ilCkL+4SDLOmKzOmu0SPiI1VAaQzjST4GypGsrK6miqszisxXad4BsSf8ak12+VBkpLlr1foTZyKYtFVx3268sWrSPk09uxcOPDCY7O5aDF1T++2iM6NBCJD6WLyxg1eL9nHJOe254cAA9UoLX5WykUlNmViwLV1zKxvXl/Dp9O59/sZGaWieRkced6/efgez/70i32YTDw3EX+REOxUJZSUmSmTt3D++9t5p5c/fSo2c6Dz48CIfDw7Tp25k9cweVlQ4+++lssnPjATAV1HLCyC8Y1C8Lu8PDij9LSGsWxQO39WbihR2xxEb+o0rIh4qe1zwY8t6UByoDr/cX1nLO+CmUltRz9fU9ueLq7gGxJAiSGHoOp7Juall97USshC3rlSQTCZCtdS7VORtr060TLQGhi7lIgCg2hlY5P4RI0fzt0eREx1lNOiJaMg88tIAvvt7Ej/MvYOe2A1x5/lRSMmI47dIuZDSPY9OqYn78cB0ut4zb7uKRxwZzyWU+oURteo32qdy0oYyzxn9PYmIELVskkJsXj8cjsWxZEVu2VCDLkJoaxciReZx7Xgd6985QESFHMxKkouxmZFmmb7+PGTE8l6eeHEpZQ6gpoSU/tMa8Hm+j3dHSuw8bNAajVj9g4+Zy+g78hGuu7M5zTw1VfdZEfjRBhDbyo6Licb6cvJ5f/rgYq80UMjfZPRKyLPPMw4v4eep2Zi+9mP4d/3fU+ldcchOff76B226dQ0ZGNM3irAzskUrnNglc88gfjB+Tx0/zCrH7I94MBt9ckhJv4avb2tOnbzYxJ7RXtVk9dzWn3r+KWruH+S/2VREfIiK6fRZ4/d51bZj05jZevLwllw5PJ6J1FnP+KOHcu36nweF7Hi+/ujs333VC4DtOj4R2yo7RSbMs9Of4K+THZef+gMMj8dzksao5TZZlbpkwlfSUSD77/PTA+3o75VFmY9hoDz1xUAhGDYSrgAKhkQAKeaN9X4HBoK95oKwv4v0Vzo13eqSQXXc9I85sNIREfOhJILhVRIZPy0RLimjXVT2SOsZqUs372pSQQ+HlteRFY9EfetXztP3W/uahkRzqz7XREtrIEa0QrHKvKZFHjUV+QChRobWdDqa9ojeG2mtM1YyZGKkjkmuHCrH9cKSHV5IPasP42gpzDv84astPa49vrN8KEeKIjgz5zGoy0tDg5pnnl/L8aytonh3La88Op9vAnJBjD4egONqYvXES772wjG8+WEuvgdl88NZoUlKidEmqELvbrb6Xvv9qIw/cM5/NO68ORNC2zD66moR/B8eD3ylCuZ6CXdcclciPnBZvHTdj9U/guKT/nFW3hbyXaDPT4Jb49bfd3HPfPHbsqKJLl1RefHkkCYkRTLriJ8pKG0jPiGbM2NacfmZbOrRJ5oDTQ7/UGEiNYeoXZ/Dcq8vJSI3i+49O4eSRuVj8C/x/hfgAGPdYIr8OnEPM2H5ktLGxbumlPP7sEl56eTmzpm/nxbdG0UGokgE+jQnR8XQJubBGQskDkzG0bJzNZFARIA6vxPoaZ4i6vcMrhTgZBoMhxGh0eaUQAkSpma4cazUZDnl3S7w27TXp5ZFqUVRcT27LBMwWI2+/vJyk1Gge/+RUIvxkS36XVLoPyuGuc38gLjuFp55awkUXdcJqNYXsbMRodkz7dk9n345g9JJoJFZVOVi6vIilSwuZ+uM2Pv98I63zE3n88SGBWvJ/Fbt00sjE30EhkmQZoiLNlJT4IndcmlzpSLMJE8Fd0MZ2MUWoqiCYjJTZ3aqQbi3xAaHG4Lz5e5FlOPP0/MB7TaRHE/TwzCPjAgRISUkpm9e3ob5uFQunbufKid0AtYO6rKSGD15byXefb+T6e07Aaz66kVcul5cHH1jAhAkdeOHFESSVHgBg7h9FAHw7czcx2bm06Nab+pL9lC5fjMFowJQQyfjnNrFuchos3UR1vRuT0UBCXgo/bnawcH0l094chi0vDVlnvhSJj8rPBjBj1QF6tY7h0uHpuEf2wg30yctgQ+t4Sg84KM5IJse/cQBBolOcwqvdEgecLpoL0XiFgrhhhcODLMusXlnMpDtPCIlqMxgMDBzVgs/fXIVRE50gQtmtlmS14KleqoBbkkMcXrGyhtb5FckOUR9C+764TllNRtUcajEasRiNIZooyjckQrU2YowaYgEfASKOkFeSQ7bMvVKQAAmkAJnUwpTRZpOqNL3veuQAUSDLvjQWSVZvCtgb1GNT7/aqCBBZ1nfexWvTbkxooy71CI+/iqoqBy67h9TUqIAd1xjCER9Kv+pcXhVZob3WKLOpUYH3QxGd1ZJDYmSuV5JDiA8tlN9A7NvBiBDluVKII/G6xT4qz3g4kVFfW8HXJkMoUanYWV4dEV4IbhLp2Q9l/lSXWM37ZqOBGbN2cPOdc9lfVMe9t/Xlrpt6EyHcS8V+8upYIj72FN6A7YCDbz5Yy8239uGO2/sG5kDl+ROhRGgp95jZaFCReVUVDpKSIwLERxP+HUiyvhbe322zCYeH45L8UCDLMr8vKWTT5gr2Fdezt6CGr77exKCBObz28kkk5cezdNE+7rhtDh1bJfDKW6Pp2j1NJdrYv807vraqbmPs6JacMjyUKTamHt08wSONXwf6xOjqpi8BIGZsP558eDDnjW/Paed8zwdv/cnLr5wYYgQquy7NNPm9EjLJNnOItkqCzRxCgCiClPvqgzs4StUYkQRRFlzR4NUajeD7jaM0hotPATz4t8WoJkDK7W5SIi2qRd8jyyqDQEJWESAur6wSidMz5PKax/Hrb7spK61nyfwCrri3f4D4UJDTKpFeQ3PZvLkGR4ObxYv3MXRorsq4PFwkJEQwYkQeI0bkcc89/Vm8eB+vvLyc8879gXHj2jBiZB6jR+2gZcuWRy0t5oUXl7FhYzn33dc/JDdbW+43wmQMu6PTWP65gjL/rrbYhuKQZkarGfVSu4stO6sAuPyan7no4s5cd1lXjAQJ0ojEFw56zib8/0GJULWrbcchtG+9gfseWMAlF3XCpkkpmPvpJia/+Sf57ZNJz4xBOspWSILZRH29mzHD80iPsEBznwbQnPe2BI6Jb5WPu74Od001kc3SsZcV45EMVNW5+fLXQtrkxDD+wRW43BI2qxFZhnEjczhxgK/CmUh0aCGV3wxAg1MiJdaCe6S6zHVUzxbINQ7SAJcs43J7Q+Zn8BEfCvb6I/5K/REjGZHB4+OtRkwmI84w5XCdDg9mi1FFfCjrltloCEnVlGTY4RfV7pKiDokXq6WIBJfosGpJDgV67zX2vrKWiREiiti48p3GZsI6t5cYiwm7R1I5OFqHucHjDZR6F6NFtEuNdgMgwWqmyuVRjYNXllVrplbHQ4ky0p5fPC7SbFTt7h9C4PERx59/FvP8M0uZv6AAgJTkCC65pAs339wbhLHUEy89ktCmA2tXZq1NoF0btbpsUWZTSKqvU5JUaTV6y7+2HzYd51iMmFHuMb3048aIDy30IrTE+7exKCi9SnwKFPHeRJuZfYW13HHvPKZM3cbwoc2Z9u2Z5LdODKkSdSyRHhDUVJs+bTvR0Rauuqa7P9o5OGZxVjPVGpLS96wJtm6Nkysvmc769WXU17vp0DFFdfzOfdcf09EfxyNk+fAirw61zSYcHo478sNbcA1mYN6SQh58bjmLVxRjMhkwGAx4/GxxdnYs73+xnnmzd1FRbqdN+2Q+eXUEmWnRKNPsdky0y30j0K4hwecgidO1VHrjMU18rHzr0cDrntc8GCA9tFAIhfSW8Zx9Tns++nAtdXUuYmKspEVZ2V5lVx2vhLY2i7KQLCzAcYpSurBQJtjMlDa4VXXXAbKjbSoCxOmRcBIsK6xAqWCgIDnCEpLL2hDGwFYQaTahDYR0ecOTDV6vxP/eW81776+losJOUmIEV1zWhWsndidaSNMRCRWTwcAFEzry4ivL+eCNVb5Qc7/AphbNMqLZuM6XelRdFapo/ndgNBoYODCHgQOz+fTTDbz91iqmTNkKtKZZsyhOP6MN507oQH6bpMB3tLtJWqOkMWGzLQXVvPr0Ur76ZjP33nUCJ5/UMiTS5oBDu4uoJbCCryNMxpCoEV8fNOHbmi45vBIeSWZrVQMAbRKiKLX7nKoHHxnEqafnM/nDdTz79BJeeWkZj9w/kKuu6IrJZAxo4wT60ESG/L/Dm39cJvwVTNUwGAyMHJ7LR5PX0aP3R3Tu3IzP3h8bmAd27a4iJTWKgt3V3H/Dr0y6uRd1V0zklE7vHfE+eqpvx+aPCHMIz9T7n6zj+ddWYDSbsSYkUjj/VwwmE1GpGdjLigGoKKgmq00S83Y6eOH7PQw4IYuJl3ahZGsJdqeHS8e1BsDW5dOw51eIj/hRvUmfXsnytWW4JFlFWu+qUYur+ohoSeV0VbnUz7dCeigosnuJs/i+EG81M2hYc379YSvjLu6k2qF3OT3MmbqNESPzQvrq8kq4vMHIsGb+6jE7hGpia8t9UWpdUqJDysQ6vFLA4dNWQLMYjTi8km4Iv1fWD+0XoxTF9cvhlVTtS8iB+Vck0hRHt9rpCTicevoWyne9kqwSJdf68dooGAhNadCujyZDaLWUKLNJ7ZQb9HUjFGj7bDAYVASIsjGhoNrpCUmfEduPMBtV0URa8seqcZLXrCzm7PHf0yotgpevaEVGopU5ayt57bUVbNpYzjefnh7Y/NK2pV0XtdE42qCOWKspYFtFaUg4PSF4Eco4KWupyWhQEQt6UUtaKGWXld9M/FkCYrea30Pm0DYgFLJRJB0PlfjQVhoKtKlDNiljroyeMh5mHRZHuc5EmxmPR+LVN1fy6FOLiYm28vF7J3P2mW2xeiXweAP0gDHl5UPq87+FqT9u5cSTWpASF9RpEsmpeB0CRMQXn25g2bL9PHrXCSQmRnBCzzTyrEZ2++fgJuKjCf9fcVxpfmyYex5Tft7FDzN3sXJdGdkZ0XTtkEKt3cPCJYXIMvTomordK1Ff52bA0OacMq4N53RJDtkRN+f+vXKFxyoqPxsQeG0d0zfk802bKxgw7FPMZiNnjM3nzlv60LG9jy0WSRCx2ka6JrphW7UjZBcDCCFAFpfUkqYTxqolQOKs+hydaETaPRLJkZZAVAAEo0wag2jgNXi8WIEhwz5n69YDdOyYQsdOzWhocPPzzJ20bpXA/FkTVDW6tY7+q6+v4P6HF2K2GBk9oQMX3qKufiLLMnee8wO1HitVu0uYP/d8Onb0lYvUGjRRwiJXpdnR0Roo2l0q0ZCorXKw6s8Sfl9UwLffbObAAQf5bZKIi7MSEWHGYjMRGWkhMSmC5JQounRNZciw3MD3RfJDMeYqD9j5aep2Xn9pGQaDgUcfGshFF3TEo5lNtOr2WmKjWAhzD3dMToxaoFF5VEsagt/VXn+WTpnkaLOJktJ6nnx2Ke9+sIbePdM5d3w72rVJpl3bJDIzYjAYDOwXSLkm4+D/BxTyw17n4s2Xa/E4nCDLJHfqSEL8JuY+Oit47IcnM0BIJyuo9805n7y6gm/eX8sT743h7st+OuJ9LPXrVnXp+j5dujTj5y9OR5YhtvkbREWacSc2xxoTR8X6P8keOoqULj3Y8eNX1OzeAcIzlZwUwerFl5CZERM2XVMUBQaf4xTpb6PigJ3HX1jGa/9bzZr1k0hM9D2f4rOsOEVa4lRLfJQ7ffOa+PgqxIeCbRvKuPOi6XTpk8mlN/WiZbtktm0o56OXl7N5TSlTpo6nfYcU1XlFaHfIC2p9z3d+Qqg2gDKv6glPxlrMuo6hyeDbcQ3Vm/D/qxkDbduK06hHxrslOSS1Ty8gIcYaqkej157yXT3nNRwUskU5VEteuzQd0pIf2ggRtySrStZXOt2q30gbvdAY+QFqfRVt37RRh4NHfIap3s60ezsSYQ1+7+dVBzj/xc1898UZnDyqJRBK1Gir+Yjkhx7xIUKv2o4Ih1dSXdfBNiS0toL4WxsxBIgPBYeiv6H9HfUgRn0o0K+Ip3cvhz470RaTLukB4cvlhtu4ivHfJ8tW7OeGW+ewbkMZV0/sxkP3DSA+zobVq69XcqwRIBv8xRkK99UwatBnfPD+yZw6Nl91jDY6p9rlUaUDVzs9eDwSXbu9z5Ahzfn6zZNUxx/Lm7YK/it+56FCuZ5dO64m9ghrftTWOmnR6u3DHqs333yT5557jqKiIjp27MjLL7/MoEGDjmjfjlX8p8kP97Yr8HgkfvhlD29+spFFK0oAn/aA0+UNpCaMHNqcs05rw9hRLcloGyQ1Vu64GoCuGt/6eCU+RNQfuFX3fUtpJbsLa/ly2k4m/7iTffvreOW54Uy8pEtgQdYTvUqPtLCtOrSkorhEKYvZxkp7yHFaEiQvLiLkGC1qXB4dA0UNPQIkXCgywKQrfuKXWbvAALL/sNTUKC68uDNvvbGSCRM68MbzI/3nkkOE7RweiV/m7ObWO+ZQWFTHPW+OomOvDN/xkszUD9fy5esrscZGkplsZcWySwPfbYz8ADUBcjjkh+iAOJ1eZszcwR9LC7HbPTgcHux2Dw0Nbg4csLOvoBabzcQfq68AID8n6PzPnnsBs2buYO6c3az+swRZhgsndOCpRwfTLCUKCM3RPhj5oTV8lPFUqkKEIz5EKDOYQlroER/a+2Tr6lLufWgBq9eW4vQ7YDGxVk4+pRXXXN+T5n69giby4/8H3lh6KSt/3cV3Ly+npsKO0WxGlmWMZjOdz+6EwWRk09T1yJLMI48MILdFArkt4omOsQbID69H4r5JM9m/p4Yr3jmZmCSfc/3gkI+PSB8V8mPW7J1cfPF0vnhvDOeOa8uNd8/j3Y/WYrBFkn/+JPbNm03V1o1YomNw19eR3KkbFetXA3DzdT254aru5OXGgyNIVrgsFtxuL2u2jueXX35h354ptGubRKeOzRg8MBsw8PFn63n1jZVs3uLTGWnePI4fpp1Ns2ZRISSmXYck0PAeAeJDDzGCdkp6pJklCwp47N75lBYHq4FlZcfy3Asj6D8gGwjvyGvJD8Ux0zpQIikhzq/aZkVnT2xDS34o87levxRNg3AlzsVUG7vOequcSozu0IvQU9oTu6ZXPU0LreaVFo0RINHmUEFw7fyrJWq0xIJIgBwK+WET7hfxXOJvsn17JYMGfsInN7fllF5qTTOAYQ+spXXXTCa/fwoA+zTpm+Lapq2o83fIj4NFWigkRb3/uhojPiB0TdWTGdESH41FEYVrN9xxetCLBtITtodQsgwUoWD98yu/RX29m7sfmM/7k9eSlhbNW6+cyInD80I0LqxeL7I7NFrClPHvr/UbhKqUDQ1u+nf7gLvuH8DNV/cIvB/lrz5lc6jnXE+k2u7Zub+WYcM/x2538+svE+iZp/bdjnUC5Fj1O/8qjjXy46uvvuKiiy7izTffZMCAAbzzzju89957bNy4kebN/55W4H8B/1nyw73N55wNPnc6S/8sDfm8Y4tYrrysKxPO76wq9aqkrzTBB4UEsZRWhnzmcHq4YOIMVhW62Lxukuozk9GnzK1dwMTIC4CsGCslOpU/RAJEKZUXoxPKKZIgsVZTiJ4E6O3QBJEfHxkS0hyO/KitddG10/+IjLJwyU296T04h8qKBn6YvJ75M3cybHgufyzdT/Gea1ULqh4BYrd7GD9hCgsX7aNt9zSy8uJZv7yI0n2+sreRURZ+n3s+zVskBL4XIhyrGQ7RuNVesza3XSSoDmZ4lgu/2e03/kJxUR1ffHcmECQ/Nu24hl5d3qehwc2gITmMPS2fc0/JJz0tmDevVRcPEfAzGFSGWzjiQ4HWINaDdvYSjSzFKNNevziOXq/E3r01rN9Uzvp1ZXz2yXrqal3M/HUCwwZ+ctDzN+G/hV7j7wm8ThvmexZr9pVRMms+2/4soduwXMbf0oepS9rgbmigcMF8Slf/SVLrNPJHd2P1xwtwVvtSq4xmI32uPIG2o1sE2mw4YGfGLTNw2z3kdGrG6Ot78folU/9SX3/eEJxzK10SIzKDaXS9en7IRee25/H7+jN15g7OuHAaANGZ2TQ/cSySx83+hb8heb04ykpActO+VTxLvzmVyLT4QDuFRXVMm1vAzNm7mLdwL3V1bhITbGRlxbJteyVOp5eOHVIY2D+bjz5Zx9DBzRk6piU9eqeTmRWLwWAIpBxWCPOIlvwo0aS2tI61sqUmNOpLRIsYn1OjkBUej8SSRfsoLa4nPTOGXv0yMZmMWE0G4q36BIcCRRdDb0faoyk3q0BxdvW+YzIadJ03q8lAvVvSTUvwynLInCeOkijiqLebbvd4QxxZrROuzG1iaoGeby0SHspr8ToPJYdcOyza74ifHwr5IY6Zti1xp7tBQwZpSZ9w5MeyZfs5/bRv+f3pbrTPjkKLK17fQqUliuk/jAcaJz+0VWi0EFMRtNEnCZp7tTHyI1x1FAUK6RQg2nQICu09o4raMBoOuoEEoaVm9aC0q713te3bTPrPjrJea3/7cHaPtgT1vN/2cPo5U1TvpadF8+tP59CqZSIAESYDdXUunC4vMSYZs3DPKeSBLeEFSkpKWLhwIaeccgqRkaERYkcTIgFyyTk/0KxZFG+8M1pV1hlCyQ+AA2545/01fPPTdtb/WYIkyXTqlML7751Mrxa+ef9YJz0UHIt+59+Bcj07tx8d8qNl68MjP/r27UuPHj146623Au+1b9+eM844g6eeeuqI9u9YxDGr+eFYNSHkPXNiUMfZYDYhe7ycPDSHpX+WcuboPNqmmGnXPJYOLWJpmxNN7KgZ/2SX/5OITnqR9evXc+64QaRGyKTEWajEyqh8GxNPzGBE10R+WrmDOy74kvvfGkd8nC3glMdZ9dXLUyIsqp2YNL9AqkiCnJAWw7qKBtX36jySigDJirHhlmRVGkxWjE2XAAH1Dp8Y8ZFoM6sIEK1onclgIMJs5O2P1uL1yDz27mjy/akoKenR3P7MULxembWrimlocFNUbic7TS2WJ0JGJiLSxJRvxjHlx228+PJylvy8E5fLS0yMldNPacWzTw4lOSl0UdUSCH8F4crR6UGS1eNbWFBDXl48URrj3WYz8fTzw7j3zrkU7qvl1NPakJ4SakCGg1GTp641WLU7Y3rEhzZcPMFmVt1/WgdGbzdLe16TyUj71km0b53E2ae24fYbe9O914d89L81tGvt22k/1sTQmvDXIBIfAM5aO1unL6Vg8UZi0hIZ/sAIMrtnstkDbXrvBSCjeQazNqwhNiOB9K65jH7hIlz1TmR7Kdt+2crSNxcjuZ20P7UdAFFJkUx8fTQb5u9h5bRtTHvhD167WD4iQsNz9tcFXrdqk8RXU7dx+Y296Dckj2efGspHH69j46Z9bJr8NpaYWNz1dSpPoqHBw0ffb+PMszrwwecb+P6nHaxaW4bRaKBf30zuvKUvo4fk0L1LM0wmI16vxHX3LmDJ0kIWLd7H4IE5fPDuGCqFZ1PUWkqOtIQIWBbWu3SJD4C2cb5/9/ojZ+zCs6wQHxB0qmIjzPQbrBYcV5x80dnUEiEitCKNSsScMj8pc4jo6IrkgLjLLZanFckGxSlT/FAxKk9bpUGZ9bRzlagRUu4Irptap7HS6SHRZtYVqVRgMgYJEDGKpLEde1G8VJkzPRrBxYNVURMRYzGFRCiIUYCmg0SaiIgym0IIkHAQxc7z8uIxGg0s2VwTQn54vDJLt9VxymlZuu1oIxobQ2MaDNA42aGM0eGMLYRqhIBvU6kx4kM5XpXWqnNe7Z0l6srotaukxuoFamh1UprH2kLuQ+Xx1CMdI81G3XUdYOjwXHZvv5qGKidl5Q2Uldu5+8EFTLhkGq+/dCIndE/jqx+2ccUNs6n3zzmJCTYeuX8gky7vErgDC3dcS3Zrn0P49NNPc9ddd+me72ihY96b7Nx3PQAn9Mvii0/XI0kyxfUuFQHijLBic7hosAbfu/qOWUz/Zgt9B2VzxyMDuf7Sz8nOzv5H+9+Efw81NTWqv202GzZbKNHicrlYuXIld999t+r9k046icWLFx/VPh4rOGbJj0OBJf997r7mCu6+pivOXcWqz2JOOvI518crfn7+NDZuryKlQzz7D7hYsb2CFGMKE0+E8wc1o7rew3NTCvihz4c898wwzhrXNvBdq8lXWlZZzxXSwemRVQSI8plo8HRO9hkgIgnSOSU6RCDzgMOjctCbx+qnxBQLGhDlDreKAIkwGVU7UZEY1WHOHskXpdGlWYD4UGAwGDj1gg4smr0LkwliYqwqp9ulySVV1nKLxcQ549tx+YSOqs8P17D5J9GrVwbTpm1DkmRysl5TfXbKqfnktUjgtDFfM2/ubrLPbB/4LES5/jB9PS3ZoQixRfhJGD3iA7TiaUERNz0jTluuWO9nMEeYmTixGy+++Ae7d1fRrVsaN990bUDgMjWtiQj5r2LFt0+pCJD1X86jbMNuOpw1iOaDOpKSUx/ynT2/78br8tL5PJ9WktftwV3vID49hj6TTsBZ62Tj1C0B8gMgKSuWQed3IqN1Ep/cOYcJTw2nbf+g0/7IUP00mAlf+3RH3A0uorftpm5/LbIs02dwDjt21bBi3h4aal1UH3Bgr3FitRix2z2kNrNx9aTuXD2pO1dcNYOfZu7E67YTE22hb+907rilDw6nl0+/2Mj1Dy/hhkeWEBFh5rRRLbjh+l6cNCKPpEQfEWuTBYfUZOTpJ4cG/k7wO/UZ/r+9BgMFYYjowHdsZlVqxpZq9fEK8QEQ6X+WE61GnF4Zm/BsK/n8SjqBQiiITpciairCK8mqaijKd0wGQ0iqoMGg73BpiQXxWyLRIiOuCeHneL0ylcrOveLYuSQZlxTqcIuES7xVKeGrl1bjIz3U61RoyqGqbKl/XNSRAcFr1xLH2ipq2vVe6YeCw6loplc5RvxT+5uIv6U21dLo/2ZOeixjRrfg+an7GNY5gRZpPjtClmWe/m4vRRVOLrm4U+D604ToDqvGaW+MbEqLsqr0qESES/XQwmI0hIy3qHHmEwYPJTJEaG/BpHJfdG9ZcgIQWl3mcIgP8bVetInZaAhxLkp1IoBLhGixTL9jr9V8Ad/Glpb0qPdvFIkRIIkJESQmRJCVF4/VaCQvL4FRp33NkJO+wGYz4XR6mTC+Haeflk91jZOly/Zz4+1zWLRkH2++fCIxMVasNhNJiREcqHTw7LPPcueddx61Knnh0DL7dXbuu56+/TJ549UVbNt6gJ6dU6lzeVXzmTPCGgjVkWWZpb/t5fTz2nPzff0B2NvwGNm884/2vQmNQ5L1Iw3/bpsAOTnqzYGHHnqIhx9+OOT48vJyvF4vaWlpqvfT0tIoLi4OOf54xDFLfnjK1QxWRL6akTe3eBfwESC+f/+Zfh1vqPxsAIM6+sLhslNs3HZ6Nj1vW8UQ/3txnfO4t38HLr62npseWcIlE2cwtF0cye19JrBidIi7S4G2HZ4QsVKrUV3NI8Ziol+6ujK7QnSIJIhXlkOMGi0yLUb2+xfEpAgzEjJOQYFTW55Wa6RYLUYSdKIxAOISfIZSixaJWK0mPJodExF6SvoK9te7QgRdI4WJ0GIL76CHC+cFqBIMI60SemPK8KLauyzDiBPzeO9/q1m5qphaTzD8UjHaOnZqRrv2yfz28y4uFMgPPSi52lpHwOWVVGOnNYjFPimvRadEm0+thba6T7XLE0J8gE61A/+9M+nKbkiSzLp1pbz33hqWLClkyvdnYrGY8BZcEzjelPMWTfjvItLSHsmzk8SW6RhNJrLjNVELteCsdZLQPAEZGx4XrP5oLoXLtgYPMkDXYbl0Swk+0/mxvtc9Ruey8It05rz7J616ZWI+yH0LsOf3nSx7+3e8bi8GfM/klMnrAejSNZW2ufHM2lRB7z4ZvPTKicTGqh3+9985WXVfi1PBiSPyuOrSLmzaeoBzz2pLZKxauDnSbMTrr6tg8nqpOoTN7hxBX2fjgfoASQFBjQIFiTYzJ6QGx8n3bKsdokRBhFJLgCgQHV1lXtCmFoB/zjIFnWjtjrI4B2mJED1nS4EB3xxk0LiPBgzYPd4AYauFJMsh87ZWM8RsNNCgkyKirS7ji1wMXrPd4yXSbMIlSYH0SY+k/v21peKNBgOyrCZPvKgJEZckqdZdSVYTzmaj4ZBEU/UQZzGFCGQ3Fo1yJErPPvXUMM4441v6372aU3omkZ5o4de11WwtbODRhwbSpXPq3z4HBIkTrSMvkvhKWmh6lO8ZaowY0la40xOZNRmChIeWZFGID4BmFVWU+wmQcO3ptRFOuwaCz5QeR1DlJ47E+0aPTNAjPcAXPVbo1xRqIaRBK9G7VU7fvwrJur8uaNNFZ8ewc+NVrFlXytJlRWSlRTFhfDsMBgNOSeaSCzoxfEgu19w0mxOGf8Zdt/bhgYcXUVXtpHlOHHsLDvDbrAmMGP2lbt+OJrwydO2RjsVi5M8/iujpvze1BIgBmV17ali4qID9RXVccHrbcE024ThHQUGBKu1FL+pDhPY51FbXPJ5xTJIfdbNPCXnP3OJdPLuu/Bd6c3wj8YLf6Qu8sKkVD321l88X+PRTugxsSWR7XzlUb20D2enRvPzgCUybs5dZm2oY28o3EYvpESajb0dE1JBQFm2RBFEMQG2+sogGt0SESS1kpjXEFBgFbQktsRAOipEultXr2yuDl15fSUOdi6gYtVPxx9w9GAzw4vPDQ9pSFn7R6BWNTLtHCtEdOVbRu08mubnxPP3kYt77/LRA2T9R+HPkmOV88M6fbC6rIyLCjMkAqcKua2NzpzIuSn67yajegT3YtGs0GAIkBQQNRsWw0jok4NNDEYk5vc23KjEtKsLE7bf5qvTMnr2Liy6expYtBxjSJl71HW/BNU0EyH8MHVNyA6+lpBwqixewd+7vjH5kCBVOSBbIR1mScVQ7sFfZScqsobwghpJ1u8kZ0J6snlm4G1y47S5OOS1D71QYDAZOurYn710zk8/v/o3crmk0y43niqKziPbrUL16UrC07IGd5Sx5dQEA6XnxdB+eR16nZqz8ZSfLZu7k8iu6ctb4dnjsHqKjLRgMBhJsZrxeid/m72VfYS05cSaG9c8MaBIZIqy+3UF8xPPQwc0ZOtgnZiY691qCVEt8xFhNeACzUiVE85BvPOCLmlHSA6oFR8aXnqZ26BVSs4OfVFYcq1Jh7RCJD1F/Q3QSRdJDuR69FAuPLAdCB0wmfdJDJMfFsVGOUEiP4Puy/32DKp1EuTZtKo0elFLBIimirKkiCRJhMoZoVSnRjQphoFciXLwmLfEhvlYRIP6IEGUMZWTVvOryymHLlWphMqrH2CXJxDVSlv5IQfz5ixqC0UbeGAsffX8m33+5idnTt/NncT0du2fy5GtdGDIgR0XUi0SFQkABxDbS/8bWvnARn8X+/omRS2ajAY+/LweLFlHpXBlCtbNE4gMIIT5MRgORGl2NgxEfyr0kbko0RnyIiNGMX71HCntPFGqElHfVOMjwR4hob8GaMORJpcdL8/bJDOqTqXrfZjRQbHcz8pRWzGx7HpMmzuDGW+eQmBTBqqWX0K51Eq07v8s3325mcL/bscTrV8Y60thWcH3gdWSkha7d0/ht/h4mTuwaeL/O5WVPYS1XTZrBpo0VgdLn7dsn0++ETCwWE4nNXvpH+tuEw4OEvq7O320TIC4u7pA0P1JSUjCZTCFRHqWlpSHRIMcrjknyIxyUaI8mHFnYV5zHNdf2ZvBJ+fSe4CvpeOLEOSz9fBRt/ArRFXExRMZGk5+fyFVXzmTAgGzGntqaU0/NJ6tZlCoMNCXSoiJAwLf7ro2UUPKVFSgLaa2wiGnTZ5xeKSQFIkVYBSO8Eg6hLzazodGIETHM94pLuvDSayt5/p553Pr4EGLibciyzOol+/n87T8ZOTyPXn2zAkaMW5JDFnIF2l02EXopQXqweyS1U64qZ6feJRPHxKOxQkTjSKucr4XZbOSpZ4dx/rk/8O0XGznnAl/KTnnpzYFjRo5pyesvLuOP3/cxZEQeAKX2oJEiphspY6Wn4K6FNSQnXE2KaNsQx8PlVSJx1DtR2t1CtyQhyqro5V87vTJOfypTuv/+l8rrQEN+NBEf/z1MfvtqLrnaV83L6/Hds/bK0CpVAKu/WMO+5fsYctdg3xuyjMFopLawgozLumON9u2q7JBgSHzwuRKdnFP6phP7xGBmfrmJP3/cQk2lg7R2yZzzymjVudbuuob9Xy4D4KY3RtGmp49QOVBcR+w5Hagtt/PWm6s486y2xAjE7Jx5e7js6pkUCVVQImwmJpzeiqcfHERyBBhr7dz/9FKWrSkjKyOG5x8fTNTKDeqLHdsv7JiJu4wegwFjnV1FMcox6mi5ao0TosyDSpRdmkYsUnSsUv1ktPLsK6SC6GQp46s39yrvKcfo7aY7vFJIdJwWoraASAxpUzd8lyaH6Eh5ZVErJNiuxWjA64+2UK5auVblMFFfQpzzFKc2ymwMvO+VxfgPHyRkjBgarWqmf83BlvSIFD1YjAYshJb5PdRoELOBkOgP74HaYD/igtocTk/4czSWhqJFbJyNS67sxiVXdlOVBxWhV+pYIQS0eiPivanthyj+6ZZCoz4U6KVsKXB51WSE7/6QQ9qHUOKj2umhOlYdWYvLGyDxtJE2RoIC9IHDJX3iA4K/gcFgUN2HSj/E69KrWgSKNolai0dLegAB0iN4buVc6mtQ5ittOs4ef4nr3Fgb+zTtt26dyKQru3HbrXPo2jyOuMwY9je4OGNsPjNm7QTAXX2773xHmQTJz3ldRYAMHprLO6+vxOP24hTGaOq0bWzcUM4dd51Am7bJdGufQpZfhLoJxy5k+dAEpQ+3zcOB1WqlZ8+e/PLLL4wbNy7w/i+//MLpp59+ZDt3jOI/QX406XccPdhXnBd43bF1AjPfGsqYa+Zhd3rpetYMSktLadasGelAcclNzHtvBFN+3cvX84u49555zJ26hSmvDUUGDHnpgbZSIi0ccHhUBoriiCokSLXTQ7XTQ6t4tfEcazWpCJAal1e12xJtMamMk3KvHCBAjFYzUYCkUcKWbI2rs3tlmYzMGD6bPJYLL53OJSO/oF3XNCrLG9i7o4pBA7P5+IOxRFtMYcXPqp0eleiquAZpq7GojBRhjAySTMNR1ASpVwn5qT9TxvjEobmcd34HXnhqCR3bJdP3BHXK2Ya1vuigZqmhoq96pYXBZ+wbDQbdKgZ6hrLW4PLdO8H34qxm1fdChEyNyr/C7rHGKfPKocai9rc9UOrTo9lR4yHfaCZb8jSRHv9xbEkpQJZltk+ZQm2pk9HPjKS21kdkVJXVsXfpXvb8vpfitcV0PLsPiW3aUV0qUb19NXHpkVTsKGXTj2vpen7vQzrf4DGtGDymFU6Hh+vOn0pss9DnpqKsgQ1rS0lMi6KypJ4NS/bxyyfr2bbKtzNjMBqQZZnCnVV0aJ8CwOo1pZx69vcM7JHKty8PoWvbRP7cdID7XlrF5G+3Mu3XvVx+fnteeGs1XuFh/+aHrbTLjGDBk90wGAwknqomPpySHCinqBVgNtapy5QXGoxQ7wyEnEeYjKRHwZYq33Fa4WSryaiKgvNIElGauVF89iPNpgB5IEZjKCSHQuzqESGiw2gyGHD6HfpwxIf27XAuhBKRoRVpthh9Tpye9oKYkgA+UkNPJFILZd6E0LEMfldxhA0Bh897kEpZiqZGcN5UX63VaFRpmCjRHyIRZNSQOuEiG8ya6L4at1eT9ihU3JDksONuMxtCCJB/G3oaMQq04yGmXmo1styqez48kaNdn7RRRYqgqLa8sxa1/tQJtVZK6LUYDQYiBPYuVNtL1Izx/SvLMppCLL60ZeF51LvfvbL+ZlJ2jD7pES46ZWGxWrupf6qPQGvmF95v8EokRZhVadXNJC/4yZEYIZXQcwibVEcD+TmvU1F2MwBnnNyKF59dyuLFhQwblhuIcPnt193065/FVUIZ3CbiowmHiltvvZWLLrqIXr160a9fP95991327t3L1Vdf/W937R/BMUl+NJEd/xwie/lyGRUSZEivNLb9dCqPfZWIyWQiKioK59oLAUgESLAxcXw+E8fn0/m0qeRmBg15xagV12OtgJpCAoiRAjuq7eTFRah26yPNRpWORa1bnwAR01bEpdAYYQ0hQAAMDcFdXqO/tJkJUEz60Se2YMOfl/P+x+tZt76MDi0SePOZ4Qwc3DyQAqJNrRGJGtGoE/2GY9FwE6EN5b33/gFs23qAc86awsUXdeLBBwYSH2/D5fLy9isrOGlUS/r0SA8xYsQd10MVdjUZDBgM6lDAaLMpbNUaJYUqXJ6xXki2V1LvbGqNSK1A3ZZN5Ux+809mzthBamoUEZH+nbIm4uM/j6WPP0H+WWdyYNNmrPHxbPpxHREJkRzYXk7pRh/ZkNYpjf439qNZ104AlG7Yx9JX/8ASaabtyfnkj+5wWOe0N7i5efwUKorr6TWhU+D9R+dfjNvh4eOrfkKWobKkgY8fXQSA2WIkMy+OvHYppGbHMnfKVs45fyoL5kwgKSmSx5/4ney0KH54czg2v2PVu3MKU98aQbczplJW5eSFt1aT0iyKG27vQ/deGezaUcm7r61k3dpSht6/hvlPdFP106l5ZhNMgCDoXOtPoYnWmVtFZ6RtQmRIaK+2SpfHT0YoO+nJfuLUJcyn4qMcqVO9AtTEh+IM6kWaiWSFXnlXCAov6+kORZiNqjlNIVNsftJDgVixQ2leIlTEUzmz1qFU5s7GouUUUkTc9W5s98+oM1dqm1d234Pzp+EgfQjVTVL6YMRwyNEjbkkKIaEbg9IlsTSwdgzFlCEx8jPOqj5PRJjyuimaiBDx9xVjHLTnDYfGsoSiNGuvuKY29ptqCX+RqKx2ekJExI0CraQVAXZLoaSd1iZQrlWJbrF7JJDVGjFKtSclyiPSbArZ3DAZDJp0NW8I6dE6PiJsVZwD/upHmdFqPYNwQxwuCikpwhwoF7t5WyUPPfsHzVIi8fhFmOvcXuodHiSjgc2VDXTOezPMGY4Okpu9TEXZzbRvn0xWVgyzf9nFsGG52BvcvPLSMpYuLuSRJwYHjs/O+G+UsP3/DkluPBXyr7Z5uDj33HOpqKjg0UcfpaioiE6dOjFjxgxyc3MP/uXjAMck+dGEfx4KCQLQGph8cvCzcHr+sdEWVmyvoSI1KZBjDqFGnhJtIOpCpEZaVQQI+BYp8XsJVrOKAPHKsuoh10YRSKgJENf+Ckyx/qiSWt8OviFKv1JMpMGAXVF5T43mntv6qnZgHJpQz8Z2fAJtmk1hQz2NNcHdiZAlPjoYCSMu3E53+F0XscSkSlgMtYEvOv1i+K6WxIiPt/HtlLP49OP1PPPUEmbN3sXFF3Xix2nbKNxXy/8+DNXlEQ0Ytz9vvK7ORUFBDYnxNjIzg+G3ohOjHUrFSVGIMtFQ00ZvaL8r7ngpY6+1oewer8oY3V/vorSknvWrS1m3uoQ1q4r5c0UxNr/+Q2lpA5deNB3HuotwVl6MrZN+tY4m/HcQnZFBWu9euGpqqd5XQfG6/cRlxNPzihMwxPVm2fOvAND33vsBkCOSiW2+gdq9BWyZsY0tM7YB0P2ibnQ6qxNuKThXiCVbSx3+so8eMNrMRDeLIrlrBtUOLxFFNfy+poSFn63DXuNi+JiW3PbIQExGA79M38EbTy+FejdblhaytNbFhBt7893bq3j3vTXcdUdf5i4o4KHrugaIDwURNhMXndaKFz7agNcrc9/jgxgyPA+A7OZx9OmfxYRTv2P9jkrK0tKJ3l8R/HJ6UuClVeO81opzup8ESfD/XaGp0KWd0xrcXlWKo81kVM3/yULEmFLFpNrlDURNgHrOUKJDtLu/ojOrOH9GHbco3PytkAkWIfpQec8ryRiFaxPPbdZUjwlH/CqnFUPyFWfS6ZUaJYwbPBJR5iDR4osyQRU5o+h3iNEzYj+1ot/KWhZObFOMPAFf7J2B4NoRYzEF1lyb0YBD+JG04uYiRMHwSFlGFtJAJMAU79tUiQSqBSLj725sOzxSWEHacDjUFB5t39TpToKQrySR7CdXKjTpweJ3tKe1afrd4BbXb/XBjREfWujdcz6NGTHS0qQiesQoLK9QAlnc31EIjoPZSjlC9b5KP7FRrFMtR9vP/fU+yzRdk0Y3ON1372iJqWJFNFWMNI6JpK7OxdkTZ5KTGcPNN/fhqutmsWJBAe36ZdI8L56CPdWUFNcB1/4rBIi38DrOGduK9z/fxKi+Gdz9xBL2FtVx2519Oee8Dri8kkqTrQlNOFRce+21XHvttQc/8DhEE/nRhIPC1sUnyqdEgABU1bh49IlhjB33He++sYrrr+mBV4h1bBZpYUe1OkS61O4KECAmYzCH09YIcWJEbdAaDWqWs8blJc5qwr07KNwji/Xna+1BAgRw7i7G5k/PkexqWscGOMKkx4iCZ1okRZiDpIss4613qL4XeB0htG2LRq4OLa3ZGLThw0cL4q7XNZO6ceJJLXjgvvm88OIyTj25Fe+8fCIDemZi93gp0snNBaivc/HYo7/zzTebcfojgvr0zeThhwbSrotaUV/ZYfLIckgouXaHKkETFVst/CTaUN/dNaFaDtq0nNWLC7nxrt/Ysq0SgMyMGFJSfPdLz+5pJCREMOPnnTx5azC01Lm+iQD5r8NUl0hWh1GBvyNyGy9tYjAaaXvuuWz77juqd+4KvJ/UMinkWEmSKS+qw+nwUOn2qadvXVlEdXkDDrub2Q/O5cDOSjwOD2arCY/Ly9mXdOKGe4LpJ6ef156YWCuP3PYb894ZwofTdvPJq8vpNbQ530zZwl139EXySkRH6i/h0VHmQKpLZYX6ObDZzJx3cSeeeHAhT765lnefHAiA0WaBSp/ewrc/buPpd9ZQdsBJSpKNu67pxtgLuuqeSyE+lOouoiOtVxFLme+VtUCZ0cTdMFE3xCsLVSX87YnzakOgIhQhjq3W8QrnxzolKSStJFzUQ7i0GbPRgNGASpBZW2km0C9jMEVF6ZLVZFTpQohRLAoRr9f9Bo+XKLMp7G6iQ9CMEAlvZfPAjYzFKOi6CMSEEk0gEuoiGVDn9qrEKiNMagIE1KS46KSLZZVFGKP1Nyi00Ka/HgzKrSj2RyW27f/8SGzKiuRWY1Et4prl8EiIV5NgMweurzHiQ4wwgtBr0hIf4poar6nGp5fSq6TrKKltBgPYhYoq2uo/vveMqnHUTUvTIaGU8RDJD22Ex55a33ymTZdWxqrCoSaUtOfe5bdLFRJk2swdbNpWybLFF9M2P4kvv97EXffNY+WSS7nmws689NRSZn67hVtv60th0Y0AZP2DURamrDe489rLee+zjYyf9DMD+mTw4+STiRDWnp37rm8iQP4jUCdwH7k2m3B4aCI/mnDIUEiQ6tKb6DbqfYqL60lKiuDRJxfz+NNLaNc6kYEDshkyKIcxJ7YMLE4KCSLLvvSCTE0Op9MrqUMpUUci6O3WxIt/awgBg9GgIkA85TXIwg6U1KB2BoxhokHsHilgdGp3VryyfFAVdgDZK2FQjnO4IKJx7ZHG4EsHOrhSvmIEaMcsnFbJwdrKyIzhvQ9Pwe320jwhSvW5QmDVuIJZ5g6Hh7PGT2HL1mpSug0kJisPV20VG9Ys5YwzvuPLb8fRrYePgBJDa7XOR6zJCLIcEHA1e9X9txsMKHZcjcuLQxBU3HQglFjKFspyVlU7ePihhXz46QaGDcrhiQcG0r5bGgsXFXD1tbO49urunHF6G8ae9g0Xn9GKWy71pTk0kR7HB1Z+9Dg9L73/kI+3l5ex48cfsFdU0HzEcNL79KFll12s+GAly/+3nOrhzVmxxUldcRX1JZV4dSoP9BjTkt1rSjE63HQ9rxPdeqZRuKWCX99exaSbQ/VDhoxqQdwjVuYsL+XFW7oxbVERB0obqKlx+Sq9xNv4auYurjm/bUgU2Hez99CxUzNWrSxm25YD3H/7b0iSTO8Tshh9aiuS/ARfUVmD6pyyLDP0nGksXllCUoyZzrnRrN9bywU3zaXvh+uZ//VY7InxgeO13IY2gkCZI5V/D2gcE3FWNRoMZPqf52qBUxUdSaUSiUMjAqn4X9WBsprGEKfHrqmeAsHUFQiSKFFmo4rAUKZ+k0FNiIgaVuJlR1uC39etOqP0waxe83zf9fW53u3V1UcC/SoyDR6vajysRgMuSQ6k7Dg8UqMVWpS0UmWoXV5ZXaVFqPCiTWWtcXtVJJNIeB2qEKl2zQao8wZTk0T9EVEEXFyXxaGOF6MFD3PdMxjU7YqEkbb8sYqc12zaKBDTepyHmAqkEA3K/VCjioD1/av3c2o3R2RZrf+SFxcRtvKc1WQgyRR0CfQ2WpSfWbHhFP0JxV6zajayQD0WvmsKvSe0UR1tE312xtYqe8ixeXH69lqZP4pGOycpfdJGt+6ucZAcYWZfSR2RkWbatvGRCROv6MIFF0+nssJOZkYME85ux6efrOfqa3oQ5dcNKSy68R8lQJolRzL5lZFUVDq45Jx2GI0G9sg0ER5NaMJfRBP50YTDxr3LSykt9y1KKd3SSdp1gO27ati49QAbtx7g3Q/XkpwUwcvPDuf0XANZBgP7WjcPfH9/nYt8q4F6q28hqXdL1LslVZqJtlqK2WhQGSTVHklFgFibp+HaW+I7NtlnnLv2len2311ahSU1IfC3Y/NeIto1x1tZhwUwJcYEPnMZgg6zEUNIOKkeDBZzIIzXYbOq+p0oHFcjkC5i6LJbMNa0wp5aEqYxODySyvgWIzrsHils5Rdxp0gxHPM1pEe4dB6A777dzPp1pbQdP5GoVH8Z0IwcElq2Z/uUD3jmqSV89c24RivPxIoh5bKMXZZxG3yij6+9uYpvvt9CZaWD6monHo8EBp+xZTAaSE2MJCM9mozUKNLTokjOiMNmM1FcUk9paT3FJfWsXVuG3eHh7ZdGMumSztR4ZUpK6rn73nmMP6std41IJnfMVwCc2iMRe0E5VNbQsGYA4CsR3YT/NlZ+9PhBj/njycdpNeZcdv78NQAGk5G9c36jZMVStltk7A1uBgzLZfZPe4hKjiEhtxmthuURlxWPJcqK2eIBGayxVsrn7uDA/joMRjiwfz0xpbWkpEVhNBmwWEMdApPJgMVqwu2RibCZGNq9GbNWlNG7ZzqRVbWcf1orXv94I/e8sIr7rulCbLSFmjoXj76xhuVry+ndJwOT2cCnH6ylU+dmWMxGHvlxG++8uoL2nVIwm4307JeDOzUR47Z9eIE7X17N4pUl3Ds+hxvHZmE1G3F7JN6cuZ9HvtrLjc+u4pmnhgX6GGuAWH/0SZnf4deKFStQwtSVCDqTwaCaAzKF6aBjlJkCd7CdSqeHlEiLynHTEiAKFGdHLI+rhejQaiteNHgkVQRiMM0EIEh6i1W/IOjU1bvDO7hmgwGPrK4YI1aWUdrSEh9KlRmtkyg6wMp4BJ1j9XWFK1GrnKne7VWR63qRhuJaFC6dQYwc0cJqCq7jToNRNfaS8a+tcwdDTCMi5X+rXevBNyLA97so97wYBWIw6EdGaSESHyLEiCixzXCRKwppoKSfObwSLknCajSG3BchwqYoxJfYL3UUkRIRpRB84h0saoBoYRB0ZhSbTyQ9ivybGpkh1V585ymoVUfwKkOi1W2xap5b8EWtFZY1kOgvuR1lNmGS/elY/nnt9pv78MkXG/nkf2u46qZewD8b+QG+6I9xl6vfa/mP9qAJRwqSLB8FzY+m2I/DRRP50YTDwo2zL8RkMTHq7gHMfHwh2+btISE7lkkXduD8s9pSuL+OV/+3hpVry7ho4gx6tInnvkvbcqIsE9U+l20eyLf6Fpdol5tSgyh8FSRAlB3CdGHBEw0nCBIgnrIqwCdgKkZxWLObBQgQg9EYiP6wpMSDJKvIEW9lneq1QoBYHE7cEeqwSwVSZR0Gf9ioFx/poSBc+kw4KKHLcPSMtb+DbVUNKqNK3NET87qjzSamTNlKfPNWQeLDD6PZTEqXE/jj1x8pLaknLT0olhtlNqkNXsFGUrRYXC4vN946h08+38CZp7dhyKAc4uNtRFtN7Cmp5/XXV/raspkpLKqjpKwB9xqJkrIGXC6JjLRo0tOiyEiL5ryz2nLbdb3IyY6ldsFajMBdz6zFLEs8d24O/a5ZFDj/2Q+uYESXBL65swOy7EtjqPxsQODzJiLk+InE9VUAAQAASURBVIarribwOqF5Ctn92uKsaaBLooPxF3YiJy+ep+aa2Ld0C7Ikkz8qC5PFhOSRqNi6j92L9rJrwW68Li9xcVbuurMfdXUuPv9iA0vm1ONyelk8by+D/GWjFaxdWUxFuZ1+XZIB2Fdqp77WxcQrfOknT97VmymzdvPKxxt558sttGwey659dTicXlrnJ7JqZTEpzaL4+JNT6dCxGQC7dlZx+WXTmT9nD16vzCUXdca4bV/gnB9P28UJbWO5/YycwHsWs5GbTs1m7vpqvvxqY4D8iA+zqa9EHYCPgNALeVcc53qBoNjpgZY2X6Mi8QFBRybRZg4QICLx4ZWDQtTi7ryeg641FL2SL8pBm1oQDiJ5o3rfE0p6KI6Wj5TwR4oYDCrtjWqB0NGr1iBW4RDHFnzXbTUaVFF+YmUfMTXEYgyeN1xUid0TJECUaAvFQddyWo1pX8lyUHfC65UPSdBU0SuB0LVeD3FWs7qKjMsT6I/dI6lSSuJUJYP1X4vpEqLj7PAK49+YcqlyHcLrcKmyWsRZTYH0Eq0wujL+HklW6d5oiQ9lvA2G0FQRbQSS2C+nV8IpmBvaazQImyFeSb98tJgKZjYYAqV0xXtbua8UclCPPFKekVbxEeyo9kXoxgSiX3ydVMap0p9up3xep9EV0qbKaSM/lGetuqiOjNQoYg0+O87hbzc2yoLZaKBtq0Ruub4nz7+6nImXdKZ5+3dC+t2EJjThv4Um8qMJh4VXT/qUG2dfSOtBzTnvzTGUbK6gZEsF//t0I8t21/DwpR35+dNTOOeaX5i/dD9F5XbOuncZfXuk8fDtRkYOykbU5U6VvQECxOWVcHkl1e5Scb1LRYA4vJIqVaJBkhFpBqnBoSJADLagEWMATNH65Ii75ACWNHX+vkKqGABzYlCsUxueezAkWIxU+Rd8h1cOlI6Ls5iocXsD4dbijoQYfSEamJFhSq/FOkXtDSFkW9BdMafEBV5bBMPDKxGorCKW5C1qCO6oHCqxHGc1U1vtxhyTpvu5NTYBgJpaZ4D80Ja6jLeZUUwmubCc/fvr+Hrmbj6dsZvtOyp5581RnHNWO6prXLhrnTidXkAOkB/7hVJ3yUkRXH1ZV+6+pTfJyeroFeKep2bqiQBMXVLKj4tL+fiJfqS1SOaa89pQesDBgAwj572wmTlrq7j74518u7ic5FgLY3omcla/ZnTOjW4iQo5zFCycSUVFBdu2baNv3766Dmrq9vNZ+dYGitaUsGN6JC27p7Ft+X7sNS7i06LxurxccnEnnnt2eOD7V1/VnbPPncL69eW88NAiYmNtdO2djsFgYNO6Mp68ax4dW8czvFcqS9dVsGzDAcaMbsnoUS2hpo4Im5lVM85k4l0LmD5nLxu3VwWe0+qKBrxemeeeHx4gPgBatEzg5VdPZOyYr7lkfBtaJ5ghxafB49pbSl2Dh1N7J+uOw6m9kliwoZpYi5F6j6QSQNVz/BUoER8K4q1mFbkrzm87nRJxVhORZkOAxNBGZog7wEq5SrECV6TZqOs4a50f0amEYPUQh1cKVJQS+6cVvhQrxoj+olLW1mBQV5gR00WUc2vbVMjVtCj1rnWlICirECB6pUkhSBy4AtEGjeueKELhSjqN0xtMkdFyJAaCKSiKUyxeg/UQSA5R70RJY1JIDzHiQOt0KxB/GzE6Jc5qPiwNkKOFcMSSeB8faiW0WkEIVvsdhaxzeqRGI1JNBoOKuGqsCo82TUkbsSHeSwlWcyAqRRTGjRU1RWzByFXxN4wxGdRvmIwh0aSt4iNYX1EfQp6uLAuu7y1jfSSPR/JFZIkbaKCuYqN9XOweL+1irMyeu5fzz27n64bXS1m5HYvFiB2ZtetK2FtQw1WXdeXDT9Zz78ML+eS9OzDEPhcydk1owqFAlo+MrpC2zSYcHprIjyYcNhQCpFmrJEb38Wk3LOqXwS9fbmLcxFkM65/JN2+fxEP3/srkX/djAHbsrmbM+dPo2yON+27qxckn5gFQKBtAlkLK48bbzIHoj3J/LqdiVGjL3rqS47FWVAPgTUnAC1jqfLnsluQ43BXBnVtvvUNFgACY/MSG5Aru/EgllRgOISTVU1aFuVmC7zu1Dcj+BdwKgfcB1YLcICz6DY04Df8kFNJDDAcXjUzRcfDKQdV/PUOqQ/skds/dHTDkRdQW7CQyykLnlklE+8VHzUZDoLKCuFtXVFzHpVfMZu7SIiJsJjrkJzCgZxqPPbqIq66dpWr3hN4Z/Py/EWzeWc37321n/TafI1hxwMHzr63AbDby1MODgl+Ie953LbUN/L6pmlve3MIpgzM560Tfjvdtl7THsaUAryTzxpWtmbnqAD/8UcFpfZLxeGU++q2Eyb+VsOvdvoc6xE34DyM5OZnk5CApUFNTw8aNGykqKqJFixZ4HB4yu6VTtKaE/D4ZFG+vpPepbegwNJf1c3ezfuYOHn9siOp5iIqycM9d/Rh31vekZUZz48XTyciORZZligvryEmP4vGru/DiZ1t57uMttG2XxIOPD+aDD9dSVeWgTX4S43sl8+1rwymvdLCu3ENNrYs2+Yn88vU6HnhtDUOG5oZcS9euaaSnR5ORHg0C8SjlZ2M0GjhQqx9mX1HnwWQMjU7w7QYH57cof/pHmaaSBQQFFhWHxmI0qMLn4wTHKdJsVM0HZXa3ah6F0LLjcGgpExLB9By9nfoalycw/7k1c5zi5FVrtBOa+aMFlLK2emjweEOIlaQICwccblXJU0XIW0Gi/zrrhAo0ojOs6GIppHmEyRBC9ihQdtzdkqxb/lcLGZkGj6Ta3Vec5MZ8eDFN1OWVwh4bbqxk5AABIpIc2oo1/0WI+lYOjxT4XcVfLNzvB2qCpZmGKJPlYOpRSOqT5l4W76FozSaEXaV14iXGakJCDtxj2nQcJd2l0ukJRGCo0qSMweiNGEFbpM4rq8ppm4ywviJIcJT5q0JVuULHQ5kPal1iXyVSIi0qbRjw3ava6/9h2X6KSuoZPTyXjTU+kvb7mdvp1TcTgAsvmsau3T7b0mo18dnXm7jxmh70GRrSlSY0oQn/ITSRH034S3j1JJ/46eSVvkTEgWPzGTg2n/VLC3n15l/I6/MJAzsmcPtZuRQdcPHOzEIuOKsNs+bs5to7fmP95yMxm42Q73M2DQbIiLaxv84ZMHiTIiyqBdbllVQEiGi4uRLi1Ix/TFQIAeL1VzLwVtZi8C/0hkYERGWPV/W5SKKIxIjs0K94crxDRh16nuUXFL1uUje+/e5LipfNJ71P0OGrL95Hxbo/uOzCDkRHB4kP8O0W+Uo3+oyTnbuqOO2Mb6ir9zB2WA5llQ7+WF1GfKyVCae2pFOGlYRYCwkxVurtHu59eyOjJ83h02cHMv/BDlTWufljay0rttfilWBsqpPKaUuAYHRG5WcDePLbvbzw4z76t43jxXMzcW7dB0YjSMFd5wmDU5kwOFihxivJLNpUzYE6D5e+uoX3r2+DyWhoivr4f4D//e9/PPDQrZQU1YV8ZvXf0z3GtKZFN1/kk1eGJd9sok1+IhE6jnoXf+Wjidf1JC7exoJ5e9m/rwYkmYKiesbdvpgIm4n0jBh2bK+kf++PMBkNxMRYqap2ckucle/eHMGAnmn0z4/nlzm7mfzpBjZuPIDbI1FX5yIuTh0C73J5sds9ROr0Jzcvnk/nl3DDKZnERQkOisPLx3NLaNE8HrtHChG9VBAliBkqzpTyr8GAamde2UVWnHxlZ1yJCtBWb8oWIj4qdEQble6IxIA6xSEoJipCwudEackMMTrFJoR2hIu42OLXKchPEKqLSRLVTo9qbVLWNFHPKd5mDtnZr3F5iTIbw+pCWIwGJAipkKVAIVlEIkdcT7URIcpv6pFlPB6ZKLPxkMh5JRrEt8vuPSQhcBGiFonNZAzRm1C6GY7wEEVkxVQK8XcWoy5qhffFW1h8LabTiASbEo1k90ghmjDgj8rRIS200UuHAlFcV5LlwD3UGLenvQavIfzB4v1mMRpUxIDLK6uimcRxlZADG1TgIwG1VywSkMrtIJKcJU4PyRGWkIgx5f7MirZR6I8YS/NXhUoTirtsqXbQMTH4hhJtIkauKKKxVU5PIC0sAvVzuGh+AVFRZtI6NQsQbKtXFXPV9T35+qft7NpdzYfvn4zT5WXd+tasWrWKavclNKEJfxUSoaXgj0SbTTg8NJEfTfhbuKTnB+o3esLlwzfx5ZNjmbqkjIc/2xX4aPHCPbx9VWvGP7ORmUtKOHVQBpnRNvbXO8nw56hmxthURkucEFqpGFXiroe42Ishj5YGBx6hlGxjJIdrbynW5sHQb2t2SuAzMd0lHEQBVdntxeDfwXPtLcHa3OcEWeoakOMUjYug45Aq5BarJC/C2EoGYTdGsgdJF1l4/9IVwVSXjQvyAq8XPxx02OS5qwKvo9oE8/vj/ddh8IvRFtrdje5A6aFf30yefHAg9z66kJod64nMyMNTV0X13l307ZXBs/f3B8KLva1ZV8q4s6dQUuojr6bPLaBfj1Tee3Ywp3WKJkowRmVZ5vXvd7O3pIFOreIYMKodCc3jSABaAKN/WqpqWyQ+aho8PP+DT+/g7WvyaRZv9REfEPxXJ7LF4ZKotXtJjrEwdVkFG/bW0yUvhsrPBjQRIMc5VqxYgcvp4dHnh9EyP4mk1Ej2F9SyZ2cVc9eWU1tuZ+IJGeTk+FLMPJJMadtEPvuk0Ec4aErTrllTCkBWTixduqdxykk+GTtZllm6rpTaGieP3TGX3f7dx9uv7c4d1/YgOSmC9ZsruPau+Zx4yc+0bRlHWaWLsnI7menR2B0eJEnms0/Wc811PVXnnPL9FqqrnZxyRvuAnpHVZCASeO254Zw6fgqnPrGB+8bn0LVFDGv31PPUt3spqXLxzVsnB9op10R2pEeH1zlS/DhF4NRoUKfKiM6hqLegOGg2zVyRLBAjekSI4kyL64PiVCvzjkuSSY4wBxx80ZnTlrl1+p1BMQRfifSodnlVpTm3VdkDBIhCqIhrk0Kq1Lm9pEUFx0whI9ySHFL5SkGM1YTTI6uqhjglSZcAUaJYxPUyzmpWpUgol6mnTaElPjyyrNJzELVVRAIgnBCtWKa+3qPevBCruYgckE5hkH8UojOtrfRyMIg6LOJa5/TIgYwPCTmQBiS23lhJ+2iNMHy474i3sJbwizAZMeJzmrQkmEJciPZItdNLvM1PUuqwUEovJPQiSILpV8rznOyP+hTHqLRBvYmUFW2jyukJ0Q0yGw0q4gPCVxVSoj+0FQOL610U7Knmi4/X0X9QDlb/tZmNBuITIqirc/P55HV07NKMHsOa06XFW7rtN6EJhwtZlpGPcJ7KkW7v/wOayI8mHFFU/zCCTODWs/JolxPN+U+tIyXOgtkIu0qdXPnGVtLiLcxYXMz4G3xpCJnRNlXGqiLSpqzJCTazylAWI0AUdXObXwtDQsbm16owJ8bi8Ud7AJiT4/D4ozdMibE4dxYF29xbGny9rzxAgLjLqrD401fEFBpZkjEYDQECQiQiJHswx12qVZeS1EJR8Ydgrvjhor7Bze9LC3F7JHp3TT3o8U6B+IgQiA+xAo6CrEgLXp3yjqDZ8TIZg2J1wN239GHowGzeem8N67fsJ7mljQvuPIlzz8jHZjODJGEwCrtJ9Q7MwK9/ljF+wg/U1fkcq3PGteGeSZ3o2CbRd85adem73+ft4p431nPFaXm8/u5pvrb9MCS8QOIFodevaHRMW14RboiQJJl6uy/MP8omhKM3ePhjWy1rX+mJAQPtrl/Ol4vK6JIXE7atJhw/aN26NbW1LpYu2ofbLdEjNoNO3VLp3D0N8wm+ilYK8aHg7HPa8+brK3nxpWXce0+/YCRUvZsnn15My/xEOndTP7cGg4G8VolMfvtPCgtqSWkWxdC+GTztJw4BOrVLZvqnY8nt+RE79tYRG2OhdcsEtu+sAnzVYp5+agm1dS7OPa8DFrORKd9v4aUXl3He6fl07JCCFqNGtODVV0/krrt+47wXNgfej44y8+qrJ3HSyBa646IQH6IIZpTFSINO5RNlXo/QRDXYPRKJGr/K4k9FVFox6pQKTxIcowqXV+X0Ka/jrWZKBOdK1CUQIxwUskKZy4waPQ+FuEi0WSgXBDLTo6wBAkSM/BCRuHa7r432wTFU+hRpNoWNmFDmXJGfsBmNKgLkYAKhCiFRFYg6MYUVKxWhdYxFJ1SsUqMXCaREWMRaTAGR2kOpbiKSJIcKpZ+iVpZYSUh0/sWmxTGP8KdiJAjkeoPwvYi/QYQcDCajAYvQd4tQ+aY+TB+02iLJwj3tEX7bIo3mjtiGIr57KKh2ekPSzLTRUkbUOiHaNBMldara6QmQjUrKj6j9pdUJqnN7A5EcIpTUNZtmb0shZsX7zeGRyPO4WO01snNbJdddOp3oGCu33D9ARXamp0fz5/IiVi4v4tFnh9FecuPeMRFLq/d0RqUJTWjCfxEG+RAoo5qaGuLj46muriYuLu5ghzfh/zGqfxgReC1JMqPuWYnZbGD2SwPYvqGYIfevoabBS+fcaFatuVr1XZnGw3JFAkQC9gklzjpoxCwVAsQQG4l7d3HwA80OmUiAiFDID/umvar3Y/t3DLx2l1YFXptig+eXPcFrUAmlxgWrm4iGonKdBxweEt1Bg1qJIPEcCBI4ilVod3g498sdrP5xK+U7q/D6x8ZoMpLUtivZA0dhNFswl/hL1SZlBZrY5NwPwOI71Ncmkh9K5AdwyOSHApMgvuoVyB9TfJAgECNxpHoHsizz7qcbuO6eBYH3n7q9J7dd1zOQD6wlPjylVdQ2eMg9+xceOz+PK09SV5cRIUZ8KHh3dhF3f+yLTDIZwWwyYPF7OvVOX1izyQjdWsQwuEM8gzvGc/P7O9hT5uS0Psl8dGNbnvx2L6//tJ+tb/Um54qloSduwnGFkpIS+l0wioqt+6nZVwYyxGUn0vPyQfQdElwb82J8hnq0n5Sd9uFavn59JX36ZHLqKa2ornHyxZebqDhg54NPT6N7T592krIr7/RK2D0yZw79DLPVROGeGn6YfApj/VpJIq64eQ6ffb8Fr1cmPS+elKw4ouOsGAwGls7cjgEDkuIk2ExcemEnnr22Iza/s1SbmhRwahSnQZZlpk3fzsZNFbRrm8y40/NVWh9iRYhyu1sV9SE61RaNiKHbbFKlNYjOSYTo3Su6GEJKoTjfgo/MNkaqU3qUdEQlGiTeqnaY3G4vDbVOLJpUIKUfYtnM1MjgNVU6feOSaFPrKygESLoQwVEvXLOiRZC+YQdaOHu0VaVgaMmPOH8qoAhxiNyShARq/SsNAeKUJJWmSb2whiZqnEmHVwqIvjZWxlUkQOweSXUviN0Vr01cN8TfXCUIawwKu4qVd8RxEaMQ9VJJRPIjXORDOPJDuW/DkR/ifS3aKaoKLIIIrgLRjhHfFyNwxH6L72ttIJVoqDVYySdeGC+PQfudYHvK/Wo1GkKimxo0z6pCHin3VJJqXLTaIQdP9dF6GgpZUyW0JRKKvnNLjZIeWjjDkFKtpWC7qzdWMObiGSQ0i+L1j04hOSVKlWJ3yYQfqa93sXd3NR1aJfDTh6OIFnRVmkiQfwbHm9+pXM+qDZOIjT28apAHQ22tix4d/3fcjNU/gabIjyYcUcSfMQfwkSBGo4GrxrVg4jNr2FXUQOuO6dx+RgUPfr6H6gYPtdOXEDu2H9Vh6tiLURE7/FVLMoQSbtmxtgABsrGiIUCAFNe7AEOgrr0lLz1IgEhSCAECYIr3ERNK9Rct6aGgdvGGAAFiSU0IGOTe2gYVAaIY5ZLDFXT0D9RgTPZNTN6CYJndA6nqKjNamJNiVQTI7ytLOPP636iqcZGTFUukzUSdR+K8IWm0zY7i6a/XssdeT97oc0LakiSJkg1/ULlnE0kzZG4/I57bzs/HbDaqiCDVDqsSZaNEqHTLP2ziA0kOaK74TiAo3xvMjLt8BrPnFwAQFWnmy5eGMmZ0K/8AmFXnB3AXVwIQG2Wmf7s4Zv9ZydBO8SRGm33pKxoopMfeMgcb9jYwpmcSV4xMJyPRSmWdx1fu0usreSlJEBNpIi7SxPwN1Xw8t4SVO+p4aVohPVrGsKfMSXqC7xyFFU4SY8xYzcHyt02pL8cv0tLS6HCW73d2NzipLdjL5ql/Mu/xaXj3daXf+R11q8GcelkXEpvHM/fLjTz6xGKsNhO9h+Vy+6Wd6d5DTXwoiDQbaKh30zwtmsI9NSFtKlBOZ7GZKdpVjcsj46x3UXfAQV6nFHavL2fkyFyuvqwbJ/TNJMUeTH+r9c89BxwerCZ1ydRxp7dh7Kn+yh5hiI8YWSYmwhzwymQ/SeCJjsDplRCpArc5mJevpLEo4s8RmrQLtxCJB6FRaWb/PKpE2Rkjbar5Idlmxr6ziO9+K2DhljqKS+pZsaqYPQW+cSzachVpqdHUeiWVM54Ta8PpkSm1q0Pwk/xh+loHrnmsjb216l3qaLOJaFlihz24rhW2a8GS3/exfup6Oo/uwJDBOURLMnV1LiwWEzabCYdXIsFqVo2vNqJCieBQnE3tSqZE3jjDVPT4P/bOOk6qun3/73Omd7a7g+7uLimbsAEbsbs7HrtbAUVsTFRAFBEJ6e7O3YXtnjzn98c5Z+bM7myg4PP4/c3li5ezM6fzc1/3dV+33ah06rEbRZ+CUtv9MKPoCx4rXd46BIi+jaz2uSnqEQ36KbWAvMLrP0anQrmtN+T8JxCM+GgI+u4teuKlyhuceAhYVy3iQ5tOkmW0q1VTpGjzByM+QCEPYq3+ddQuYdOvX7setfKT2sSHUg7jn74kSBmansRxeeUAlUq0WtvkOloAUf7ALSPcP9bT2hAnhgW+249WKvee5sNj1ghdlXQsVrdlNQK9TDLrthQwetI80rKjeGfWWVjDzfRo8Q4Ae47cSGZZOYXHqzhjeDYTnhvGOed/zfk3/c7ct4ZiVQmSkAokhBD+/QiRHyGcFkSdt4jKhWdydr9k7NatfL8sn1snNuP6i9tQUA0X91XKGCp+/FOpPR3ZM2B+vTlWqdP/Ys7T+YMAxNlMHFIHn6uPV5IZHpxR9WYkYjhywqdokNSMojkzEa/OG6QpqFixzfc5wBNEN5ipnZGsDVNmYp0BflOQe6Kas6f+StfOicx8fSQtmkVTU+Ph3VmbuePBP3jwohzevqEVV76yg5SdRzHFpvrmLSs5zsIfn8PlcBAVqxBDj0/P5YVPdvPLawPokKgcm2DEhx7ejXsClBtOHXmlkUHhvVrXvxO6gZBU5eDuZ9f6iI/2rWL44q0RtG4RSAh5y/wBm0Z8aDhnaAZ3v7mVPndvBODZyTlM7J9AtN3oG/wZRIH8EhdnP7WNkkoPh6f3xiAKAW09g6lDZv123Pf5utEp3HhhSzpc8Qer95Tz+BeHmLOikEcvysJcT41+CP93YQqzkNoti+ROGez4fj1/zNyIx+Vl0BWdg07faVAmnQYppTGJ1qZdL0ajwLaNJwi3m5g9Z2cd5Ud5hYuvftyLV4LY1HDOe3AACdnRSF6JXUuP8MNzKwiLNFNWUM15A1MAGSGh8WeP3jBUrxAorHHj8MgBJIkGWfec1tQdlWpwHK4LDPX+HWEGEakW+e3OLwZgw/YiFi7P5WBuNdGRZp69txcAkjMwUBNMRmSPl/JKFx/P2cm2XcUU55WxcUcxuw7UJY2ioyy4DSLVkkIU6LuHOD2aF5O/jEdPjmjTybLf3DVTbbfp8srYZX9gmOSV+H5VLiuWHeXjz3dQWViNNdKC48sDvnJNgOT0CLauvRJR8yLRGYCCEvQaRKjytUuXAkpxtOy/lsmvHYRrrWw109NIs1+54PIGeiHEWI2UODxkmASlC5su4q4wBapeam8fKNeNviRE206zzu9BH5DryR39MXF6pAD1B/h/09qu6n1C9G1xI9TzUury+oJuzWMCAo1stfOpJyL05VF6xYrUiKrDZgxUxDQE/fr0fitaIsEtyQEdTPSKl1YxtVq2B0GVW+kWZFBPQG5VbTIv8J7WoyEOp8YjBShqIoMohPTPi8ogrYdjxUAzeS3hBJBZppYVpyUEzKOdP601sgatJbS+FfT+cofvs/5c5VksXP3AclIyI3lv9tlEqOqvLQevp1VlJZnqdPl5laRY4bMvdtC7uZ2ly4/w1EO/8cRzI0OkRwinBCGHjv8+QuRHCKcNpR2VzH3z1hvYWikiOVyYgCevaAnUUgYQKDkGvwFdtMXkI0DaxSoKjdovcw2HK10+AqTKLQXE7t6MRIzHlcBZtJp9BIghyl6HADGnKkGxK7d+XwgAT0mFjwDxnCjFqGYoHftysTZPrTO9XpYsqesMK6vC1j5b+U5X9iJVOaiN97/cjQzM/fQcoqMUAsNmM3Lrdd3Yu7+Md77ewaY3epEcY+bM9pt55iGtje9WkjrNxGKFu14ZTYdeSonI9rX5vHrvYkbeuoLN26/BYBBJ2H80wMOkIUhBiA8AUVc2o1fRGKLsGOMjA/bv+otb06tTPIMHZZGaFIYgCAFkh6wbgHpqSd8xiFw4PI0H39uO06W0U7znowPc89EBDKI/W7b37Z5c+MIOjhY5kWXYm1dDixR/bb5eraH//LGjD4cLHNjiImiZZsfrlXlhWlt+WJrLnBUFDOkQxeShSXXmC+H/Ln6c9qbvc7c7HgXA1iKD7lNgxayNFJc66dU1AZPZwM3ntyI6RrlP9aaYWoARbvKXNujDJSUolzFbjPTsFcv5E9pw/92Lue+pP7nr+q7ExiiGpzfcu4Sqag+yDBMeH0xMqnK/iwaRtkOyKC+oZtG76zFq6i1V4WbKTKTM6UUfumj3SlOadTg8Egm6LKxU6S9JEyPDQPdciNCMqtWFy4Cg7XMt4kOucWKMsnPgcDkjLv8Zk8lAXLSFfYcrKC930q5FFG2aRdOhZQ0ZndJ9z4YnXljFS2+tp6raTYdWMUSFm+jSNpY33hrNfXctYu3WIsYOTufVB3uT0zoBR6125xrpoYd2XrS2oRAYGFa7JR8BYvJ4A1Qu9z2+jBffWo/XK2OLMNNiUCbtRjYnuU0c5flVhB0opnmEmU2Hypj12lo+XXKIy4Zm11m3dk68khIwa4GyJvvXd56RZNlHgBgFAY8sE20OPsTTG4lrHVY0gircpCN7DKKPAIlwu30EiKY80PwamtJeOBjirCZO1Lh8220IUhKjP+amejrbBEO02RBQ5vNPQou5XV4JTSihP0R6UqApPih66D089CUh+koQPSnhlmSfOa+yTX7D1RJncOKj0hXYklnr8KKH3WQIatLudnupqnITFm4OIIQM7sB7XVNt6b3YTJl1PctqX1uKOWzgdzFWo+9aDJhW3aGcSCvffrOLrVsL+GLO+WQm2H0KlVaVgZ27MlLCeHHWdsrKlO2TZSir9lC5cgesDJmahxDC/wWEyI8QTguO5t3s+5yVFcXhw2WU9xxO5JodeL0y3yzPZ/oPh6kxWejTLYm7WxTTMT2CLU7/YMVuFH2ZkBiLMaBdYKrd7CNAsiIsHKpw0kxXx63VZuuzUsGgZStFqxnZ5caivny17inm1LgmESA+6LOEuhe/JtP2NDJIFO3WoKSHhnlLjnDWqBwf8aHHxeNb89aMTezNrSHKbqRGJ7v+7Ns9FJc4ueuVEXTs7Sdl2vdM4frHB/HMjQuZOWMT11zbVdkOLfPZTjXnW7PDN9wQRBFZHby5C0oxJTdctlMbnkLVdFYNxFq0iKVl2wQEdWCrJ8UaIj4szVNwHjxOVLiJO89N54kvDweY5WkDvK7N7Fz4wg4OnnDwxZ1tuWX6Pgbct5HnpjRj8tCkBgczGVetRLOErZg3GoNB4Mr+MVzZP8Y3TWgwFAJAizOas+eXfez8cTc7f9wNwCdPLeeqa7pw5919Tnp5ebmVHM+r4uFHBzJ6bHOKi2t46flVvPzOBqKjLRQWOUhIDKNLj2Tyy10+4kOPdsOy+PXtddhsRopLHcRF2YOsqS60jLZZFH3Bh97nICjxIQqI4QqhGGE2UlG7nFHfpUsQkHXG0Iii7+/SMicXXTOfuCgLq2ePwOOVueOljazaVMDs7/fhUqPJN58fyrQrFZXNa+9tpH+3RN54tC/pyco+OlSj6kefHMJZ532NPcxITmslo2ytUrZZirQHDZrqOx61AzG9p4nb7WXP/lLm/XKQ515fx8BLO9BpRA7xWVE+VUeJS+LsLvHQRfGUSiyqZtZrazmRW+EjNuy6FicagasFcSZRCFAKuCTZR4Bogb6tERWaPnDUEgwWgwjavuhafQs2i6KpUNcZpW1ULegVHHoj1FiHk4owm7rtgfNo25loM9fxemgKtBa7tSHrgvQw7bzpfo8KIAyU+fUEi96HRMSvtmkqTmZavVeOfhuKHG5fe2W9AkRv1KsnPvQ+LPoStdqWfvrr1yvLAQSHLAe2YdbDXIt00quFpCOKiuzI8WqefGsTn887QI3DS2yslaumdOK+O3oTbTeB3uerJjDRZVDJSKnIXxqcVyvBFWc11SE9gDr3b+toG7tKa4jTqVvemb6Rpx9dxllnt6BvP7//Wcfst3yf1+5VPOh69slg1sdbeeapwTRvFsPVU+eTGd+wkjeEEJoKSZZ9z51TucwQTg4h8iOE04L0lNd8BEhmViTr1ip+Et7ubena7X0OnXDQolUsqUl2Zn+9i/c/2c7bzwxmxMXtA17k+s4u+naB2m9aq8AYizFgcF7j8QZkHQ5qUkibjdaqCaEhIixActkQNDKgqYqI+mA1CDiamCXz6kpqjOpgQRZEnM7gg3WXOgg4VuRg19Fq7u+R6ivzuXvmHsxWI10HpNeZr1PfNGx2E78uPOAjP0BHfDQCd34xos2MqA7GbG2yfOakcqq/rMSgC7z0nzVjV1mSAogfTY0jRtSV+VqapyDLMmJaAiUrtnPViGTO7xPPl8sLmP37cY4VKedJFCCv2EVKjJkPb27NnrwaHwElyfJJERcRYxf4Pof8PUIAWP/iowB4vV5ikzIQvW4EAV56bhjnnNmC92Zu4rkXV1EtyYy6uotvvjFqR5gdxX6iTxACpfMOlbyMi7MhCAJnnd2SF55ZyehzWpDdLIbsZtEMGp7F0w8vJXeDvzxLgyzL7FyiqK5+W36MxE4fArBw0cVEZvifLZkRVp8MXx/X1g54tIBIEPwy/NodJ/TQMto1soy5XNlPQ6yyXj3xoZGhAAXFDs667lcOH6ti7isDiLArz6+Zj/bC7ZG45fkNzPrhIAB/rs5j2pWdkSWZtBQ7h/Kr+WllARXH91BqMDNxfBv27C1m2g0L6dc1kbcf83fKkXTm07VVDBoMghBQfqLsr4AkK2qQKMH/HP/yu91cftMvOFX5/XkXtOGBR/shCAI/Ha3mns4K6SLLMp+sy+PALqW0x62qHUf38gdkVW6pLgGi2zS9AkTzG0nRBdH692Spy1Ov+qO2p4fbaAgwwWyqIiHcd4wE9urUmzlScC+vhqB5lmhjAO34V7slnzdEgHeUCjn29Jr86WMLj+4PvfGmRj7p1ThaEkZP7pxsW8oMtaxKr7xoir8IKESIdgxrPN46ZJp/m5T/R5qNAeddr3oC/GVdKgGplagdza9i0KQFVLhkul/UnrjMKI5uLeC1d9azZOlhFs+diE1Vn8iigKCSHXKVA9kROKaSisoRrGb0jjZ2k0HXulnwbRv4iRjNEP9whRObQek0ZRHh+af+ZPbMzUy+qhN33q9020pPeQ1tJKSRHr71Ww2cPb41067tiiAI7N81FemXNaF3fQgh/B9CiPwI4bTgzl8v831eW+Sg3OUlKcxM36Efk1/m5t2PzqLvQCWnXl3t5on7l3DdPb+zoEcKLVrGBhAgWhu/YnUA4dYNOI5Xu3wEiCbl1QbyWlbII0F6uMVnjrXLI/sIEHeLNEx7jwFQ2SqTeN1g17FL8aGwZCfjPq685EWbuUECxFNU7lN5VK7eiTE+CgC9TsN306XG+aaVdRlEj72uqkPDmOGZvPDWRnLzKklNCWyvOuPjraTFW3j6i4OkxFmYeF4r32+CKCJLMpIkI9Yq05W8MpJX5kClxMw9ZYASoHQ8WuabZtYhhQj5LOeQ7zt3QWm926mHqVcbZR/1EtlKf9AnuRrO+kkV1TgPn2DroSrunX2ActnAsfwqSsoCz8PgDlF8e2977jw3nYMnHETbjVQ6vPy+tYwl20q55s3dlFZ5uHBAAk/PXkNWVlaTtj8YQgOhEPSYN28e5UV5fDrrLC6Z8iMZ6REkJdl56L5+eNwSb72/gYEXtSOsHk8iDTUeL7FqwNQyO5roaAuLfjlIrz5pbFQJjrsfGeCrVwcYMCSTH77exbEdhaS19bevLT9excI31oIADz83lMfvWgzAhHHf0Kl7EmPPb8WwUc0AJVstCPhqb5IsRpyaBF41OgwGqdQvGfdW1OAtqcSUEVivrxEfAN7iCgwRNp8qTnvueb0SkgSX3rOMPQfKWf7TBDqqrXgd+5TuVItWH/cRHwO6J3H9BS1w5RZhSo7l7ReGM3rit9x83+++dT3/4mp12kS+e3uEQqSo6xWrHUhhynNW86DQCANNtVCb+AC/qswoClQhYJclPvxhL9det4Bho5sx4ZJ2NG8ZQ3SszdcB5qpW/nM+8uw5LF1+NGCZtjAT1TqTZq1kIdBU2t/KdkeJSiQFtDN1+QiQRDXI1Paj9vkTEXwZdG0deg8KjZsPCHzVqNlHSKvvKIVCqr8zDEBEdY1P/SEItdu16sxz1W0MZqIaVls2UgtCcXmDBIiZQPXHqUBj+g69ekJfhqLfv9rmoTaj6DP3BIJ2OgGI1J1P/RKq3FLQTj01uvFFbWWQXllSm/CyGOvpxgRgNvrKVJ56ViE+LntrDBHxSrKi9aAs2g3P4dObF/D2ayu57b5BgfO7PAgmI4JJ2UepololPRQkq3tW22vG5ZXVayiQwCmvRV5WV7m5967fWLzoEA88PpAnH/qDYOjR4h0fAVJYUM2nH2zG65X5T0Yk/3lkIGLcqzAp6KwhhHDSkOVTY+5ce5n/l+B2u8nPz6e6upqEhARiY09OXd4UhFz6QjjtKMurJDolghvn7WfDphNcdX03H/EBEBZm4tFnhxAebuaFZ5V2oZVuxW1ee5HrB0m127+VOD1Uub1Uub0BAwtHPfW+WRFWHDYLVeqL1t0ijYrs+tukBoMpIVr5lxzr+2eIsvv8Q2p7iDjqaal7srh9alfMJpER477m92VHkGWZ/ONV3PHQH3z61S5yC50cK3Yx5/EeWHWyz6xBbXG7vKxYsL/OMlf+egCnw0OzoS2CrnPWSn+g5S4o9f3TQ6pxKf90Tu961UdA3baO+EAUEa0WRKsF58HjuAvKcBeUBRw/5+ETON0Sz35zhBU7ywmTPEwdkUS3Zn7yZ0TnaB65MAtZlvlzVzlvL8hj1GNb6HLbem6fuY/DBU6uGJ7Msme68OkfJ/4W8RHC/30Mf+6Ok5r+hx9+oGWLODLSlQAsKdGvLLhiSkdqqj1sX6t0nNJUH43BYjUyZXJHZn2wiYUL9mM2K6/ryorAMG7Q8CxatInly/sXs+P3Q3g9ElWlDtZ8sxOAYWfk8Mi13Xjkvr4AxMfZOHKwnFee+pNUW/1kjEVQ/oHyPK50ewNk50ZdeVrtNtSgqFhqt281RPh9djwlFXgrqhEsRibfu4zwLrNZsuIYl1/U1kd8iImvEdb3KyzZyZx9URfmvDGM6y5pw4oNJ3j2nU1UVbt567WVTL31FyqrlKAxKc5K3+5JdGgTiyBAm9Zx7M2vW0ooVjs4UV03JLYZxToBYhgyYciE69Qe5S4PX/x6kGuvmcfQkTk88eIwuvdOpXV6lI+QB6UN4Vfz97J1SwHrNuRzzZWd2LHpKnZsuoqn3h7Ff94ZxZD0KOJtJuJ13gwGQfC9z8K9XmKRiNWFul5Z9nuDyLKP3NfvhwbNY6LQ4abQ4abY0bAqQyyvQiyvQiqt9P/TnW+9Qk9P3LeIsJDjcZHjcYEkUWy1UGxV3h8NNYZJ1SlXGlM1GGLqlnedDgRr39oYzI2oZfTjE72ZqoYaj0SY0UCY0UCK3YLNaMBmNCjtqtXJ7fqSE928miFupcuL0yP5/tV46i/rMogC0VYj0VZjHeJDf+vWJj5cBp061+Xls6920fmcVj7iQ0NK6zha9s9g1k+HqHJLAf/0EM1GjHGRvvIXACnMihRmxW4y+P5ZDaLvmWIWRd+/E9WBhJGjxMn1l/3AyhXHeHvGWKZc3ok9R26s9zikR1hIj7Dw54IDGI0ij93fj2dfWcPkqfNxFd5W73whhHCykJBPy79/OyorK3n33XcZMmQIUVFRZGdn065dOxISEsjKyuKaa65hzZo1p2x9IeVHCKcFL4z4mDt/vYzjc/pTmreAuIwowrfkI0kyg4bVDTwtFiP9h2SycW1eQB1sMKSq3V7ydANXfe2zvkVuhctLmJrtSwmzBM3m6VHolX3qD8Fi8mUoLc1S/XLbGHyeF8HQmG8HgKesClNCdN2gQRR8N6VWSy+YTb5HWxQefnhnBGdd9yvDzv0ak0nE7ZZ8NeUXDk3m+evaUtyzNVvUDOF98wzEtsghI8HC+0+twO2WGDhWMaNdvmA/Hzz7JwkJNvqdnenbjI4xyiD86MESNs7ahiRBs6EdoEODuwVA1aZ9ABj2KxlbPZEROaiTbl/9o6uanX5TVIvO9GzDdxv4ZmUhHy7K53iZm5FdYnhzagvOenIru3NrOLdXHLedk0bb9DA+/O04U9/ew57cGrISLAzrFM3DF2YxsF0U0XblqIYUGyHUxgVXveb7XNT6UANT1g+3243dbiL/uHKtJyf5yY8wtSNBvEGgebgpwJiwW6I/kNO6TOg7MTz7QH/27ynmuqvnkdMsGqNR5MvZW2nZNo41K47RrlMiY85pwRVTu/LgHb/xzeNLffMK6u111vmKwfSDd/clOspKyz4pHD1cznWTf+ScC7/lsXdGM0IlbWpnT4t0f2vZd68sK+U50Qr5KMsyBCE/NHm/GBOuzgcewFirrackycz7/QjxcTY+eX8sZwzLUnwLIl9Q5stTghZRFDh/XFv69Uzm3c92smpTIc1HfEN5lZszh2bwzN096dU5gZgo5f3gRuTJ19bxzJsbmP7pDiLsJsaOyGbGy8OwxIb7jreWaXdJMik60sIgCBhEoc72OnWB4IEDpUqW+PFB5MSEBfg9aKf549lbeepJ/3OnV88UMjMicXpkpo1vW+e4mQ1iQLmnchD829A/xsryEge5Nf7vUm3Ke+popdOn/DAbFM+sMpWQrt15o9jh8V1rIkogLZVUKh4fTSx58apZe6Ms+5RCwQaVbsm/P1q7Xqjb2aY2gv3uOlrg95nSl/So5RNe3bvXoCovAQxSoNoF/ASE/juldSvoFS16tak2jzHAnFXgQC3D9tMBSfa3h9ZD/1Xt5JDeJFZ/KPXeILVLvkRd5x2bFJz4cHllTNUOykscOBwe4jKjCIbYrCj27lJ80/QeLVonqMhaqrITgvp3jdtHBtYmokQCW0BrqqfcKhc7thcy9YqfkGWZT78eR9t2fjXcniM30jLjjYBl5R+/xfd52bIj9O+fzrU396BlVgSX3/QLq9bkcvM165l8/VyioqJYtGgRMx67mKcn5ZB1zaqg+xxCCCE0HS+//DJPPfUU2dnZnHPOOdx7772kpaVhs9koLi5m69atLF26lDPOOIM+ffrw+uuv07Jly7+1zhD5EcIpx6Spb6ufFF+EkoNOEsPbIYpK6UhxUd2BMkBRQTWiIFDp8gZIN4sdnoBWbxpSwsx1CBBtUOWV/SZA1R4/AaIfTOkza2azX26aJ8nEHlNMvPQt2RqD1iHGsS/PF9h7ihXCRDAZqNq0D0t2cpOW1RAG9Eji6JKJPPr6Rub/cRSPV2ZIz0SuG55E2ywl0CgOMt/vT3Ri2MNbeP+J5UxXB+OyDKmp4fzxy8W8nVtNlUfi2bZR5J+oolW/T3C4vUiqDjpv9W7SLSLb1l9NmmquWPnjn/4V6AdZugyvHlVh/syO5Zjit1K95YBvMGtIjWf52nwWLjvG3B/3sO1wNeFWkXF9E7hhTCotU5XlHity8sCETG4/N50N+ysZ9vBmdh6t5uyecbxweTMGtI1EEISA9rUh4iOEhiDLMh6HE4PFHBAYNAUDBgxg1qwPWbnqGIIA8fH+6//b73cjGgQ6dKnbyaAxmM0Gvv34XL7/7SBffb0TJJmPZ2wGICM7innf7+Hlp1YgSTItW8UwdVo3NqzP59PZ2xBFMJhFHrtvCRFemHxxe4ZMVFpQp2VEYrEa2bjiGLu3FPjIj0izAatXQvZ4KZP9z8f6svEawWFMj/dlc51qIKX3rdDbHNVuVb39UDnV1R5+/OJ8hqqtgDXiA8CQ8oaPAJGqHSTE2Vj21Tl88t1ewmxGrr2kDdmpgSWAppYzMAH/eR2unjSZp19bx9yfD/DF93v44ZcDzHp3LOed3ZLj1a4A3wbtfZISZvZ1HvGowZ7R66VI1xXGYhA5Z1QzXnttLVMm/cB3344nNlY573oSpLPuvD90T18uGdsMq9uDU/C/V7R3nqgS3lZACvdfQ16LGYPT5eu80i/SzFc1/vdobo2XVJuBnol1VRFRFqOPANH8QtLC/Wo+rfOORoCAYjQtqPuvkflClB0BPxHgxS8d9uj61HqiIzCWKu+92OoaitWSlzqEjgqXV8YlSQEkh/5y0xRGrpNsSf9PIyfCEkBM6O8dm/puDNZVKBj0pqx6BWt9Fju1CQ//9P7v9cSHV8Z3kMVqB2FAtVkhEPSLslRUB6hLPDqvHFO1QjJFRZiJirKQu6OA1oMyqY28HYXk5ET5PNk001a7w8WJwmq+/PUQVdVuundOpFnPtIBnr9bGWX9t6NvaamVBWqfA5X8c5uZpP5OdE8U7M88kOdn/XKhNemhITnqV/OO3IMsyGzYcZ/IVnajxSPQ5syVfZ0Uz++313PbQUm5/KCbAsP7MHnFEhsYVIZwkQmUvdbFixQoWL15Mx44dg/7eq1cvrrzySt555x1mzJjBkiVLQuRHCP97mP3uNB8B4qipwOmoJCIinqieVgwGgY9nbqbfwAyfWgFg5/ZC1qzM5aKL2vok1uaA2mDRR4DkVjlJtVtwSzLxVlOAmZg+qxRnNfkIDackEWb0Zy71AxPts376YKjd9UWvUBAb8Ok4lZBSFIIl1iDw2htK1xa32r63cvVOn8pi+p4Krm4ZOBCOCTex4aVu/LmznFmL85FkuOy2gZwxPFuZIFcdZLq8ZPacheSFZr1T6TmuLWHRFvb+eZQ/P91Gq87TKT56ExaLkR09FSlIuU7G2m/fQZBkjAlROHXlPobRvXyfNeJDgzu/mPX7KrjwhQUUVXiICTcyrGM0947LYFinaGy16pjDLAbmrChg08FKflpbTIdMO6vXrCNnx03+/a2nfW0IIWi4/IfLkOWenMjbzbb18yk6cQCj1YItPpqJK3/EYBAVUz4gLsJI6+xIWmVFIkbZKSt3IcsyZWYTkiRjDjPz0mtrGT2yGSaTAUmSmf/zfh55Yhkjz2xORrpyP2qBce2SEJfLy4EDpTRPjSAh3uYLAkRRICrawu49JRw4WIbNZsTrlThyUPHkkSUZe7iZkmIHv/6yn1/mH0CSZCQJPB4vLqeXa25cyMMvrmLaC8N5aNzXAAx5qoYDH87jwavmYf3PYMad34rkejxJ4nT3X5lHwuX1BARoteGVZZ+KxG+mWjdAk2MjeeXx1RiNIj07Jypkc+zLdaYzpCiBiwFw77uanp0T6Nk5AVPz6fVug4ZmvT7i/Y/h3cJbmf75Dm6641cmTprLwEEZTJ91Fkaj6DvW2rZqbTDjbSbfe8eFgM0o+Lw0bEaRnOxo5n07gVFnf8l11//Ml5+f51uOdp779kvn0IYrGHf5T/y8cD+P3NYdgCjZS5lKgFiMgpLdDrNgqVYCObGyBneYFYtW5qB2XtEUgROSbAh2a4AqQT8I9kqycsxPlBAFlEVFKGUztbh8WRB8BMgB0Ugz0b8QzehbtFt9OXuTKPjWqW+vaxAFn3+KngCJLvEb2joT/F2yNLj+QnnJX4HoVFvb2/zEj0EtY9JZWyjtl+sxiT2V0GJ8fXmSTRuXUNvRon6IBCc+anSkSbRJBFkxG9UTkWK1A69XYv5vh1mz4Tii3czYMS1o3SqWiGo/uaYnPbRl15jNRLpcGI0il0/qwDszN9F2WDbJLf3lrruXHubA2jxuee0M33cVLi8JDicPvLCal97fjMcjYTKJuFwS3bom8eGMscSnRNQyt5c5UukkttYzp7DGP1778fvd3H/nb/QbmMGLr48kMkK5dusjPTS43W4KC6vZt6+UkhIHPbv7E1QDyvMZcGkqDw+PZP66YoorPWQmWHj400NsPFDJ2O6xocRKCCH8TcyZM6dJ01ksFq6//vpTsk5BboL1dHl5OVFRUZSVlREZeXpdtUP4v4HRk54G4MC2P9i7+Vee/mkC4dFWXpo6j32bTjBoWBaXX9OFpBQ7y/84wpsvraamxsOGDVdijfAPwPUESLnLg12nwoi1+uuj9QSI1SASo74kS2u1W9QIEH3trf5zidOjk72CeEAJ3mt2+MsyNNRHfjj2Bfp72Lu1QFS7rtTs9pvdyWrfe83wCyC8Z2vfZ0nddr3yRJMWW3WZEI38+HHmSl77KZcVO8uRRIGsnql0v6A9d41Ryoyar9oSsF2SJLNuXwWLt5YhAG1axzO2byJTn1zDt2tLaNEnjXGPDQ7IxBxYm8sX9/zGtGs68+rzI1hzXBng1iE/AGOCTnKs69jiOqyoaszp8VRvOaAs97iDUY9tJjvRytOTcuiSE+4LlmoPLEo+6c/7C/P4fWsphRUexnaL4YHZezHVMkYLIYSGcPkPl3FiZwFLX91F5bFDhCWl0uXCDBxlDjp4PBw6XI4sywguN4IgkH+imr2HKxpsVy0aRSSPROvWcVRUOMnNraT3gHSeeeMMYlWT0kRdacXa1bksWLCf1Wvy2Lz5hK+TU3i4iaysKFo0i8ZiMfLVN7to0SqWq67rwhlDsykoqGLUiM+5bEpHLp3cnqIiB5dd8B0AIwdncPu1nVi94QR/rjvOlp1FHM1TSFFBFJh02SQeeOAB7lryMh6nm6p5i1kyfz9Go0jL3qmMmtqNF8fkUCYr91+0TsFRpguoItz+Z66oBpSVXjlAJaIneLRMsX8eMxOm/MgPP+/n7ReHc+Wl7YMSH38XUuGtAX+Xljo489K5rFqTR/8BGVwyqT3DBmcRqTORBQL8N4IpD/W45fZfWb/xOOuWTvZ9J0Q8Dyht31MN8MuSw4y+4Huee6Q/Uy5sS0KSPytdo3vGWhwukGTcepWc3oNEfW/IxuBlGbLs92oB8Oj8mQK6bNksHNP5hOiD5WAESH3r1MgPl1cKWEZksd8wW4NGfuiVChr5oS8j0S4hs0H0lTzUbjOsrVODNlbQj2gjPf5rVFB/F3Tkh0bW1CE/IIAAkXWqE1Et99LOg7JDyrT68hFtd4yiv0RDr/zQ6vSDkh+668EZpLOSvgwkGPlRh/jwrdT/vaeonN0Hyjh/2iL27C8lLiEMR42HqkoXEya05tWXz8BsNhCvlkZpXepqanmpFTncVFa6mHTR9+zYXkirgRnEZkaRt72A/WvymDiuNbOnn0mhw02SSyGg/vP6eh59aQ233d6Ly6/sTFSUhT/+OMyD9/2OKAgsWzIJm83fXepIpZPNG47z+ouriIsP49lnhhIRYcbjkfh5wX5mvL+R9evyOXdca554dggdW7xT55jUxu87r+XowTJuuPh7ykuV+8BoFNm46SpaWSSq1u/1TSvLMhv2VbB5XznbDlcxZ3kB/dpEMm9dMI1tCKcC/9fiTm1/Vmy+ivCIhkv7TxaVFS76dZrxf+ZY/RMIkR8hnHJoxIcsyyz9/gViErPp2G8i59y4m5oqFy9dO4/jB8vwqi9TQQCr1cjHn5xDv37pVOtqk6s8ErVLgoMRIMcqnQEDRH3ttp4A0cgPrQzmiG7w56hwMXv2Vr6Zs4O841VYLEZaptuZdkFLRqXKGGu3PdQbeuoGnwZVrmyM998rp5v8mP75Tq5/eAXxzeNJ69sMye3l0LK9VB6v4IU3RzJwWFYA+TF3dRF3zdpPUaUHyStjthhwOb1ER5iorHLjkeCyV0eS3iFQqi/LMtOv+hF3QSXH5o7xFRtrg+ol4VFNJj88upaFIx7ZTGmlh4WPdiQ2wh90hDIqIZwuTJl7KXOu+BZHqZPsMycS1bw1XUYoA953+uvK09R22JLDhdsjcSi3CntKDNGRSnnMIUnA7ZZ45PcazOEWctcdIrI4H6PZwLizmtO5exKCIPiIAI38kGWZdm3fw2w20K9vOr17ptCxQwK5hVUcOljOwYOlHDtcTv7xKsae34pJV3bCZDIQZTEiyzJ9en1Ifl4Vo8Y04+U3RtIm523CbEZefrQfNz20DKNRpGPHRA4fLicvz9+VxWS3YkCi9+3nEJURzw39PRTkV7H81wN8+dE2So9X0X1sCx6/vhudOicSpwtiqxOV4DUY8QH+5xP4PSa0Lh4a+eEMU6b/c+UxRoz9kpnvjeHCCW0Ii3mp0XM2d8vVvs/ndGxc9aFBI0CKdXHbkiWHuf2OXzl8pIL4eBtPPDmYc89t5SuX1JNUGmqTIKVOD6nhFsZf+j1btxeyZsllASSKRoAAeI/fxCVXz+PLH/cjigJ9eiTz/OMD6dszFacgIiErxIcObtUstNLtJc5mCgi49USEIMkB3Uxqb7lGgLjiorB5PDjUd47e+LQp5AdApRzYalRfktBU8kOv9ohSSQb9vFZj3UD/30p+6EmLYO2DtfGOIDSd/NAvRTsPFsF//2nHsiHio7rGQ6ex3yBYjNz1n8G06ZSIy+Xl17l7eP2J5UyZ3JH3XxoRsK27ShU1SKLNXEclW1ju4KtPt/P917soKqyhVfNorr2iM5dc0BaDQWSn6kFWU+NmVJ+PGH9hOx59bGDAMvbuKWbo4E9447UzuOSi9lR5vBzYX8qzz/zJTz/upXmrGAryq4iPtdG5YyLrNuZz+EgFffqmcdU1Xbjq8h8aLVmUS+9QD4dM99GfU5BfybS7+9Ar0oDLLZGWaqdDK393icp1e7j+9R18vqwAUYDmKTY6ZIZx8cBERnSOCY1RThP+r8WdIfIjOGpqaiguLiYtLS3g+23bttG+ffvTtt5Q2UsIpxwLZt+nECCyjNtZg9nqz3BNbBPLhCWXsmL5UT77ZDuOajdDhmQyZXJHTGZDgClblfoC98qB9apVHq8v26HPXDk9ko8Ayat2+QiQCHXw7fBKuCXZN9jSIze3gkvGf0NubiUer0x0YhjpXZM5erScSfetYEifFL57ezg2qxFPkSLjlRtp0dpUmNP8hlxOlRgAfM7nelWJSR0IuXVZ1ILiGm59chXNhrWm+5X9fC//1mM7suKVRfznwT/Ys+Vqn4z2xzVFXP7aLgRRoNuAdK64vRcZzaLJPVTGrFfWsPI3xfQxPC7QuR0Uk7SoxDBy8yrq/AYwuLIMIV3ZH9fRQt/33pJKzJn1ex5sP1zNAxMziY0whQYTIfwjEASBPtN6sfipJUged9BBc7/77dw3tRQAt8GklAzkRLCt1AXq4P+6NkpA98Q56oBmWGu2liqtoS9s5pf5W2Tl3t1dqYSpR4+UU1rqZPqHZzJULT1rlh5cor3tYKDU88OZm8k9VokgwC8/H+DrOTsQAJfby9R7/mDs2GY8/9IIIiMteL0Sc77cyd13LkI0m3BXOcBu5dA3S3jow7NYmOsCRM67rAMpw5qz7MvtrPx2J6Pn7qZjxwTuu6Id40cp26ep5E7o/CqCuRjpn+NarT9GI8UOD5orwCefbycxIYyJ41o3SnzoSQ+AsZFGPIeu8/1tzGo40yvGvwJAPFB44lYAzhiWxZYNV3HwUBkPPrKUadctoHnzaNq1V1r1nqh2EWFWum1oMPuMOiVK1dKY3Eon027uzsQJ33Lexd8x7+vx2BKClO4kvc7Hr9Tw/P29WfD7EV6ftY1rblvEuuVTlG1EwG21YHIo7zQ5zIoRfOspUiX+cWqkrpV4ChoJgb+dq0v9WzPpFowGnFHKe7jGaPQFz7FWo48AsRlFX9C8X1KmyI60IlF/57T6YDOKlMbUHYQbTnGJi770SiM99MojweJ/d2r7Ztf9rn1y6IgVszo+0JMtXrvff8Wt808B/339dyHLoI1mLLoBT5hoCEgINQRN8WPVqVf1iRk95szbz5HcSj74aSLp2dGA4jE0dkIbSgpr+OjdDdx7Vx+apyjXjUZ8AByprGvoHhZmYvLVnbn1xh4B3xc6Pb4yMoCSPaWUlru46OJ2dZbRomUsPXumsGTxIfoPyeSPJYe5645FxMeH8dIrI7hpSif2HyjjgceXUlXlZtSIHKZd1YWu/Wc16fhoxAfAb38cZtOaPOZ8fh7ndovF5fLSftTXHDpWyeDeKVzdN5LR3WJ55usjfL6sgFevbs74vvGEWQwNrCGEEBqGLMs0QXNw0sv8N+Krr77itttuIzY2FlmWef/99+nduzcAkyZNYv369adt3SHyI4RTjsuve5dkeyz5VcWkNe9O3v71vDy7OSazgS3FNXSMtdF/QAb9B2RgNogB/ZbDTX4CxG4UfQRIbUjI9da6gvIwyK1yBrQcrA+RZgPX3vs7jkonHq/M0EkdGXFlZ0R1cLNvfT4f3buIx17fwDN39WxwWYIo+Fr/eUr82VaXlj3WOdE31Ui1MXz+w34kGTpe0D0ggBONIh0v6sHP93zLz78cYKSgZDse/vww1qgwYqJM3PfycEwqOZSaFcXdzw/jlonfcnR/KQfW5tL17FYB63JWuzm8+QQ5cSfPXAdTfGhIiTHzxk/HeOjTg8xY2Zrz+ygESogICeF04cOzP6ZmRA1hT4VBjReh0kvrSOWV2O9+eyNz/31oAxazufHnQPvst3yfl+66llkfb6VZ/wxiMiNZ99k2Hrj7dwQB2rWMYeuuEpYtO8YfSw5z1tktMRhELrq4HRs35PPZZ9vJGtKVQ0s2cnCbg2eumUd0mzg6jGzOQnX5P7+3Hs9bHr74bBzTZ2ziktuX8OD1pdxzTXAzMs2FUaqswafZMtQdWmhB9uFyJcQ7a3RzPvhoK4sWHeKcMXf5ptOrJSCwbKW81EHYzkLuWp3H0bxKvF4ZySDi9TYnJtrKlIvbMfSsLxBFkfoQn/iKsqwipYVldlYUT7w8jBUrj/HJFzt46nGF/NCMGbVWoTajAbFcUQBYUUiffKMJq1GkW+ckPpl9NhMv/I5xk+fy4UwvSSmvURum5tMx2W/hisQw3vtqD4ePVPDksyuYt2A/w4dm8fxjg8BuRe+LGW0x+giQ49UujgM5UUpQr/mKaIoBsaAUKSEak8tdxzPCUlbpI0Bk2e85oe8uBP7SjPAmXJcRTZimqdC3fi3RqQpiVHWnV9KrPE7OkPh0wimIVKnbqy/z0kgYfYmKSW3BJJ+koXKYyYBc40/0CKqS1NuE5WjGtQ5ZWXeVx0sksPjPPNp0TPQRH3qMOLsFH7y2ljVr85AHZQAK8emV5YBuRwDJujGWqxbRkqyWuSSrm+mJtHNEJZVMxuD3qMls4PiJakYO+5SCwhqaZUexYNEl2GxGjNEv0rLFXXz50Tn+/av1vGgKSt0SbvVcpaVFUBkdyRfvruFwbiUv3N+bL+dsZ9IreaTEmMkrcfHYxVlMGpIUsIzQ2CSEEP4ennzySdavX09CQgJr165lypQpPPDAA1xyySWnndAJkR8hnDYk22OhZS8O7VzOrGezufqhIwBEmrUaUuUlKkEAAeKWZN9ASMQ/SAsGh1eiQiVL0sMt9U+IPzNUqstCRJoNHD5czq+/HaJH22iIsHLG1V0CSITm3ZLpc34bZszZwyPXdUQ6mA9AWMcc3zSaGuS/gaN5VYQn2LFE1DVdjUqPwWASOXqsAtJh25FqDh6vwWQ1MfTsNj7iQ4PBKHLG+a2Y+eJqlszYSGrbeJJaKBJQt9PDgpdW4nF5eeWqtrjz/fWubl1dua/riyQFlLsEg8sjsflgFYM7RPHhb8cBuOqN3T7yI4QQTidq1I4ZouGfy+a1Cjez6nAZzz2ldEqyhTXuVTNz7ZW+zy0jjHTplcL8n/bjqnIRmx3FOc8M4+PL5nLgSAUTLmhLdZWLaVMXMH/ePh58aAApqeGMHtucTz7exqHfNxAdbcXp9LBn43HYeJw1n2/n1nkXYTAZuGreJcwY+ymjRjVj1Khm9LxkBU++tYaZ67wcWzgKUIJwu6n+Yxarf6CbTQHGhADNo200G9Oc7l2TeOaFleRkRtKxfYKi5Ku82TddqirbT8it5IHHlrL4T6V9dlZaOC1bxmI0ihhkGYNBYM2GfGZ/vp0WzeK4+opOTL6kPSnN/KSRe59fPWJqPp3IuJd9mWCvVyY+IYzjeZW+ksjaqPF4IcyKXVXdidHhpKq/FTvc9OmTxswZY5k0+QdunTqPD16sxmgUMea851tGXr7SVrPQbufwkQoKCqp57fW1tM6K4JXX13Lt5I60bB7jK8PwyIrBd20cKHP4CBCrV3GP0FQeYkEpqGWImmpQI931BIi+xMZpbZjM1jw69CoH70kQH5piRluOXlWhvY8NJ0kI/JshyLJPkWHWGcIa44K3i60PBllGVsuL5Ci/wlZoxLC1PDoCr9WMVI8SRysHqqilONGPsapq/aYodP3nMMEZeN0aouwYgL7dkggLM/L9d7u5/c7eAdPkHqtg5Z9HMRoN9OudyotPDyU5yU6q7j7+K2SHb97oF5UPBbeRna0c65deXk1Eoo2fvtvDiDHNuOOpldzxFCx6vBPTf8knI8HCjWOVOz1EeITwdyHJUI8Y628t898It9tNQoKSbOjRowd//PEH48aNY+/evSfdce9kESI/Qjjl+PCdqVx+3btsLTxIdZVixtnz3PWUu+MZk+GXwuod8bVXsNaSzygKPgJEn6XSxkzKy7n+O14QBGRZDiA6LPX0idu3T9nGkkoPzWu1WtPQqlcqf3y2jYUrchnxF+JyU5yy33KMvwOLpGZyTInRvu+8FX5pqa/cRTdAkdUBq3665DCoLKjEWeGoQ4CUHS3B65ZIys+D9DiqHMqARZZlDPVkXgxGxRneUenig6nzyOiUiD3Wxv7Vubhq3JzVI4a+bZpWV+hV2xQCOFwSP60r5qPF+azaXYEgKGZ5Na7AAdgHN7eqvZgQQjgtiImJwWQNp2z3LmKjW9FNVTSNvcvfjSi3WrlPkmz+YK99tD9Y1Dwi2sT4ib5mkYpMXquLd7m8bNlZyN49JXy9Kp/N8/fidUtc8PhgtkSFsWWvEgA9lt74Nq8rdtFidAuk7/ZwdONx+k/tRli0jcmTpzBr1ge4HB7eemc0I87YxZOPL2PwwNmcMTKHSrXc5snHBzLt2q4YjSLHj1fRpecHVFd7+OnuRaSNbUlWv3SumncJz/ZQytSaj+nHod/XYbIFksta8FOgtoe1mc2EuQI9KzTE20zUtmyQJJkbr+3KFdMW0LmvIlu//IpOxMRYiY62khBnIznCxCdzdvL1D3vp0DqW6c8NZkjfFJp1Vg6U1qXELSvPtOV/HuP9DzfzyJPLefiJ5QwdMI8RQzIZ2i2ejq1jqKh0c+BoBfkbx5MSb8MeZmL2Fzt494NNlJQ6eeIRvweBV0J9RgVut0MtgdDTulpZyIQ+SYivDueSmxdhNht488Y2CIfPA8A++DtSkl/1ESCXX9Ke519dw7QJzblrcmt6TPqVQWd8yvdzxtG9VbSyfwCC/zkdYTZQ4fLSNtzs81vSYIiJ8BEg3rKqAHNT0W5FdirXYrB2s3pYjEJAOQ0o3UeaAq3lKPgNY4P5XJwMNF+PcEFnFqoSQkIQAk7WHRevwf8+1JQYFTpzbs1bRG8Q69R5kWkI02UhPSpZYYzzvwPN6rT67amoZbZ+MtDURqCQW+BXj5rTExqdXyvjCdZhScOQIZl88eUO9u8uppnO4wLg5293Y7MZ6dEzxfddit3/zLMYxIDxVKXb6ysrqk16eNXrUDsyFSaRSy7rwBuvryUlJZzxE9tgNhvYsaOQ22/5lTCbCYfDwyfXZZPaxHKWk0VMwstEx8t07/kTP/96ALdLwuuVWLc6j6WbriQ8wszwhzcz/OHTsvoQ/j+GrP53qpf5b0RiYiKbN2+mU6dOAMTFxfHLL78wZcoUNm/efFrXHSI/Qjjl6DHhPt9nr0d5EWqB9vwj5XSIsZARblFc6UURp978zGL0ESAQ6PbeQJMFEqymwAFDIwM8gHirkRKnl3jV28JkECg7URV02tITShB/9YN/8vvjHclOtFK95QC2sX0AsCX7Bw9SjRIAuHIL6y7oNOCCEek89O52tn65jm46zw+vx8uWz9YQEWZk3b5KjhQ6GdIhCpNRwBobwR/z9zPuik4BLYdlWWbJj3sZ2D6KVilWZv1+giNbTiiGjWaRGc8PZvI4PzlRs0tR8zSkfJFlmRe/P8p/vjpS57de7aJ59vp2JEgOrCYxwOw0hBBONwRBIL5ZF07sWXNa13P55B/44w/l+g+Ps5HeMZHh07oTl3jy5TWf/2c5e9bl46hQnjN5a3MZPrEtj82Ywaeffsq8efu4P7+K8RPaMHJUM956cx1rVuWyYYOqWLOZKCqqISnJTlKSnW0br6Zd5+mUFFSz57kVWKMtdBzXlou3xyEaDZjEEmSvRFL7uIY2C4Bqs5nDR8qZ98sB1m/IZ9um4xgMIq1axmIOM3HFlZ1o2zaenxYf5KabFnL0aGAJ3Lx5+xAEKCt14FCJ2sxUOzOeHcil41phMIgY4v3Zca08RCEJBAb0S2dI7xSKnhrEx3N2Mm/BPh56agUOpxeb1UCNo24YHx5u4spL23PztV1ppmaDS73+4FfjAEQhMLNd7fbiluSADPhxq5VxY3KY/txgrrjjd/q3tHPpaMXlpGrJeRS1VEoI0sMt3HJ9N55/dQ3z1xXRY4TMMzd2ZNIjaxg05gt2rpxMRoJCsqTJEscEkXRNadGA4kJPgCCKfjVIA8oOg92KrCsvtdVDiutRJoEoK/td5Q6uHmgIZoPgI0W0bjFCqb9MVNC9kxwmG/9GaORAte74GHQEjnYtiWYT0kn4h7mOFmDUJVEaU1dq0Hw3tPN7ztktePGl1Tx8w0JufXQA3fqm4ahx89OXO/n8/Y1cdW0XctSORPruPNp+HT5SzjsfbubHeXt54N6+nDm2BRFOFxgNvtJfr46Ac6GQJHaTgXvu60txUQ133/UbTz65nMhIM0ePVJAaZ2FIhyh+XFWIxSRQ9s1QAKLGLW7y8WkKNA+lQcOy2LAun/6DMshpHs3HH2xh0bz9XHBJO7Yfup52WW81sqQQQgjhr2L27NkYjYE0hNls5rPPPuPGG288resOkR8hnFZUnDiEwWzlyy9ac+eDBXSIUbKHRyqdpNstSJLMquXH2LG7iJgYK90HpRMWZsIkinXqem0GkRqf87lOXmloOGDWBlfaPJG1skWdOibQqmUM7monB1YcI39/Cck6o0K308vyOdvp1SeVA/tKmbHdy+tTeuEUGh8kNgkmo+IcbzIG9QHRMj4Akpq90+vckrNiefneHtzwxGpKDxaS3rc5ktvL4aV7KMsvBxk+XVNCaYkT6bNDtM8KZ+vRcirzJV57eCmX39aT6DgbZcU1fPLmenZvLeSpu9syvFMMz1/e3LeeyEEKOyt7Gs4DWrKV2ljnfqXl71NzDvPS3GOB05gEurSK5o3bO9EmKyKghCYkLQ3hn4TkcSOIjUv49VJ9vU+C5lEUEOSowcKOUge/frubpUuPcNlN3XntsV+IifE/W/4KXA4PpSeqGP9Af8xhJr54eAmLP9zEY8NhzZo1dO3WhfHnf81DD/enb790Ro9pxu5dRbhcEh07xHP7Xb9x5z2Lef+d0UwY15rYWCtnjW3O2q0F2DKjyN18nDUzN2JPOkz7i0YQnqDsi9FqZl2BEqDqg6FIs4H8/Epef20dt93cgylX/cS69fmkp0cwZEgW+dUuth8uZ+vaPMrKnSQmhDFjxiYAEuJtWCwGjh6rxGQSWbnkUjKSIyhzeaip8eA9XER8jAWz2YBB7bIhO90IFpNfmqEdc60FLBAXa+Omy9py02VtcTg8LF+bz+rdZWSmRZCTHUVSop2CwmoKC2vo0zuVRJV0LVNPoT7rbzWIAX9rikSt1atW/lPl9uL0Shw2mRl0QXsuWbiPG1/YyHOzd/PMIwM4f6z/WXq00onbIhIebuLwkXIumPwDAEkJYUy6sC0pSXa8JRUYouxIDicpgLcGDLrShtrQSlsMusA4GIxetbuIvW6ZZG1UaJ4i6nup7CQ8vqvV90Scte77+e+qQWqjWFc4K+jIG4OOmIpSv67QqTi08g69Q4pZLds0eP3z6n2q3CdKA9SapwJaN7gClaBI0HVpaWpOt0qvEFLHOu4GZg6zmvjk03O55pp53HvNfGxhRtxuCckrc+nkDtxxdx/ftHq1UGmpg4eeXMZ7MzcTZjPSokUMl181j29njmHMsCwAqtWOd3glLAYxwAAZYGWxg/Pv78cV13Vl4fx9GI8WkXpWBu/OPciCtUVMGpXue4aeauIDFA+lpeuu4I2XV3PT9d146rFBAJw4UsEPX+7kgksUM9YQARLCqUao7MWP9PRAqWt+fj7JyYqFev/+/U/rukPkRwinHGu/Ulrd9phwH66aCkxWmZZnbWdxfjiL82u4qW00AL+sPsq9Ny3iwIESxShUkrGHm7nrgb5ccmmHgGXajQbckoxNc9tvwDU+0Wb2ZePEphiCCQKPPD6IKZPmYrUYmH7zzwy6tCPNuyVTnFvBkk+3UnSknDdeGsa8H/fx3Y97ef3ZofUuTytX0beANKoZEM2oTN04/2fT37sVrxzXgowweOWr/Sz7ci2CqLTfbNMxgbueGUpqZiRVFS7mzNzEF+9vIjvZxsH8Gpb8uJclP+0lJt5GaWENogAvXdmM4Z2UAM3SzC97dexVCAxLdrD+DvUjv1QZMU8bncKorrF0zraTfe0q3++Vi87+W/seQgh/B5Wl28gakEGLCcdJVu/ZX/L85Vq94hr2EmoIC7/exZuPLWPUxDaMu7LT3yY+ACae15INvx4kqn0S9jib0pVqr1K616FDB36Y+yMXXjiRa6+e75tHU9499shAOnVI4I57FnPzbb+y4s9jPPX4IMrKneQeKgOhHK9TzegfL2bjzB8Z9fwlGCxGdny7mv0jhtCsZeA+eGV49fV1zJy5iQW/7OfMs1qybn0+R49WcOddvdmvTrfy8+089/SfvvmyMiOJibZiNhvIyYrmqis6kaQqYaLMRqLMRgztkoOryrQW27KMVxAQdW1HJe1ZGmlHKK+CuAj6jAynz8jA2TN1JZgFrkC1IQRXDwYr6/C1GjWIAWaQZ/dP4tOfj7DvWBUTr/2Zqn1TSbPAMUEkxmJi1aYCKivdXHtZO84d3Yxwu4kezcKxpsbiOVGqbGdZFYKuo4m3rDKAAPHqgvKAd4sOYpi1UcIa/EoEbSBd7W2aoqNYZ076d0gNOTrc19VNP5j3qttepCMftX39bzU5cJ8oDXx/ay1zdQpQjSyV/qYkXVavbb3ao6klMCWOhtmqtPQIfpp3AWvX5LFxw3GsNiPDR+SQklqXZJNlmS++3sld9/9OVbWbZx8byDWTO/LQ8yvZuOkEO/aUMGZYFlVWM7Isc+RoBcXFDnp2ScKukmdVHi/zj/jv5+IoC+2iTXy/1sW73x8iJd7CqncH0iojHG9l9WkhPjTsLnfidkkYs6OYf6SMMRlRXD6pIxdNmsu9cw/yzDnZIeIjhBD+QYwcOfK0l7toCJEfIZw2rP3qaS79eAc/3nOA+Q8sZuJ7Z/o6qAjlLq697Ee8xmhanTEJe0I6rqoy8rcu59H7lhAbbWX0mS0AfC/O+hCtZmGNTSA68qpclOgGtVp2YdDgTH74dgIPP7qUNevyWfDOOt/Aqku3JF754jy6dE1m6ZIjOJ1eEEWMZf4SGbfO28KUHFg/+0/hjNEtGNpNMSS5690dfPF7Hs/MPBOLenzsEWYuv6UnRw+Wkb/tBB/c1pY5S0+wL7+GCJuBEf3TuPqMlEZLT1w6lYa5j5Ihkf/wP7A8ReWUm6yEyTKCIJAQaSLcauCRi7IwB5FUhw//4W/vewgh/BVs3LiRqhOVJLZPaXzik4TD4eHj19cy5KwWTHvQX472nNraFALsfAC4d2DjNe7hEQoZ41GzxNUlDpLb+I2IRo8eTVlZBV9++SUrV64kPT2dadOm0blzR2Z+uIWPPzyTN14dwQsvread9zZiMAj8uugQkiRz0S09GHp+a375cgdfvbUee7yFqEQnwx4cxtIX/+CKid+yYPllmCICCaF27ZT1H8+v4t23lfZ0gwZmEGk3MTDCwtL8SqZc0clHfjx4fz9uu6Wn79kNIFc5qGvt6fdWkKocCDZLgDqu0qt6P6lZb3uttqOaP4fWqQL8Vhk1HgkJuc77xdd1RPe1Z9M+5UMzf6ZK8zgIVMEYfa1on15bQEaijYeubE2brAgsaovMNFnCEPcSdvskWrWM5b2Pt1NT42b64/2UdanEh++4qOdZI0H0vwfzvNB3FBPD6ld3SDrCx9AEw1+XVwrI4HtPMt3olWXEdbuV7Wruv9+E+Gjlu/8P/E716jCtm45T10Y3QRR86o+mwHW0wJeMqFKNRxobL+nNh80GAYMg0LNXKr17pwGBrYK1EuRIs4GHnlrBf55fyYRzW/HKM0NITQ7n9gd+54231/Of69pxVf9oXp2+iYXLc1m/8TgFBcqYaPDADM4e25weQzJJTYugd4JSppNVVcV51y1i/pKjDO2Twn3Xd2bqxW2wlZQSPvKnJh+Dv4KvNl1FZIwVe6SZ3INltI2ycLDcwbyIMARRoGBHAc83i4Gtl/LBmZ+c1m0J4f8vyPKpJ23/pZ1u6+CfbNkbIj9COK345LLvOPPwMOY9sJiio5W8P04hNJ56ZS3VNRJtz74Yo0V5+VvCo8nsPRaPo4LXX1nLqLHNA1u3nuTgyCvLAb3pUxrpqtCvbxq//nwRvfp9RHSMlbvu70t8fBgZmapZqSyz8Of99On51wMlOdw/0NFktZoRHQSWuAgWdXt1bRstaqZHb3iqdVqRPV5f28nFa0/Qd0S2j/jQY9hZLXjil4P0ahnBuGH+wbxXJXNsbZUa9Zodh096/3YerqR1VjgZo3/AZBC4+aw0Xv3xGLefk0bSlD8bX0AIIfxDePini3j+om+JzoolpbMy8M+tVgb7erWHWX3w6D2HJN1LWgs23LpgsMzl4bs5OygvcfD+y/Np0aLF39rWK3vM9H2+af1YACJdbjZ8s4PyvEpaDMioM88FF1zABRdc4Pv70Ucf59JLL+XGW37htpt7cv89fTlypIL3pm8iPMZCUnY0n7+6lvJiBxff2pOqrHjsCYoSI6l9EkPvH8b8u+fx2YdbufMOf5eGEqebQaOyyXglkuLiGub/cjEdWsVi0JHM53eazmXqPGdO6sDtt/YKup8WhwtJDdiDPe7lGidYdM9xtaWuprhwAjg9GAQhoDTS6vQbsZYblfm1jHyVx4tBFPBKcoBSsNLtxWYUA3w+UvYfxZKdzEHR/1zVzrtJFHzEhyzLLN9ZwZBu8VwyUjk3jt1HsA+d65svJiuSTz86mx59Z9G+ZQyizezziwrYZ5Uhk9XfhCBtfCWnG4MW9Ab5Xe+hoZFHcgOGnBUuL5E681qHrWnqp3AdGaN1dfOeogGt/jxY1OMcrEOMvjxNT0x51M9atx4AQVUJBZSbqtNJ5f7pZB0hIbdVSjt26343qNuT4HATG6TMR0NlpYvyChfxcbZ6vVsSLEafGTqAt0QpNTNE2ZGb4A1SpVP5JKhtaDVT4mDQzk+Zej1YDSJmg0hZmZPvvttNWamDE0crmPXJNp55bCB33doLMfIF5NI7cDi8yDIkx1noN/UP9h2tYvjgTK6d3IGu3VNwuyVefn0td973O23axTF3wUWAUjaY7w1j/pKj3HRjd164QWmjbW7zQaP7dyowofMMlQCxkXfMr566o0MUH0ky9j1diPhlMAA3//Ixr71y2T+yXSGE8P8zTneHFz1C5EcIpx0RWYpMumBHIaAEAT8vPEhEWhsf8aFBEARim3Vhz9JvOJ5fRVxSGFVq4WpkI631amc06oPDK2E1iHhlOSDzqmUEb7mpB9fftJDVK3O54urOAFRXu3npuVVs31rIa08NAZTBiLesCiQpYPCk+VeIOhmyqGUv/yFiUxAEpHpWpn3f2GPG1jaTynR/b/uoMrWTgC6ziI6s+eqPfK56cSs/P9sTALdXMTq9bHAiD0zM/At7EUIIpw/5+0twVLoY83wfopMlwAGcvAFpfbDZTcgy7Nq162+TH3pEJ4QhGgTevXkhXlV90K594y2oLrnkEj5c8yrfzNzEx59uD/gtMj6MTsOyyN1djGAUcUkwYVhaAOky6dvJXDipPe++tpYeXZMZotb3A9jDzbTtmsjCuXv5cdEBzMlhDGz9HoUnbvVNM2BMc9YvOcz8T7fx05nN6T8ggyhL/c/0pjwqNZNrr+wPdLWAWAuCvbKMXv+gX2eJ00OU2UiZyxPQGUOW/caQXlmGjs1gy35flj1b8igkS2xEgALCCwhuDzfe9zs7dhfzyvPDsHTzHycNOw/doKzf4yUzK5J7n1nNvMVHWPjxWD9pJIoB3bJ82yZJSGrXr4aMTPUdXhqCYDRg0b0IS+uPk33wSrKvPCjqb0g2jDERyOrsxQ5d6ZKOMHFp3iqNKBr+V6CVAWnkj0GCvftKuOWORfyx7CiSJBMebuKaKZ146L5+mG1NH4Zr5T765IfkcDV4HYBCgmgESIyaEClx1E9+HTlWwRWTfmDvnmKioixERVh4+lGF+NDw89wdvDNT8e658qkN9GwbzbJ3B9Hr/K4A1Gw7CBg464VetJ+ymIzMqACvpNw8hdR5/Y119OqcxKUXtmviUfj7GPPGzXQ15ZJ3qIwLb+7OhmIHXWOtnHWNovA6nmWk3LqLPo7WANx868cAIRIkhL8NCflvl8IFW2YIJ4cQ+RHCaYct2kpG7zRWvbeOd3ok0LJjIuVOD2I9JoOils2rZZJV7vIGJUBOqC91c5CMl4YWUVYqXcryzAahwWzURRe2ZfeeYp57+k9mvLeR7Jwodu8upqrSzSNPDGTYgHSQJJ9S4u9C8zupDa1OWzT7b1OPuk79ug0RCoGkHxCN7JvCh/MPcvWdvbGH+wdGsizzy7e7aZtpJzmm4QHTycDaIo2F7yoDh737Svj50Y6MenQL4XYT02eeS/Wf207ZukII4VTAqao8qotqiM6IbDTrYBD86g+t5GH/3hL27ihEkmQ6d08mNT0CQRDIr/EQnhqOyWzgjTfe4Mwzz/Qt5+6/2b4xOsnO9W+NZtmcHZxxRScSMqMCOjY1hE5ntqTtiBwOrcunqsKFPdbG9/f/Ru6eEr59cTXNOybQa2RO0Hlnn/8Rj0ReRov9Zdxw3XxmfnEuvbv6VXBde6eycO5eVv1xhIEjsqE1xCe+4vvdEGWhY+9Udm08Tnx83Q4VHlVdUFDtIims7rNJ81LaVeGila3ue0BTYBh0xLf2nC8xGIlFCmiDCoq3iB7Ha2XIs9TW4eaiMkiNQ3a5lQA0OtxHlmiqEQCKy1m7pYB3pm/i8Qf7M3RQcNK3Tdab7Dx0A+kZkcz77RJeePpPPv5wC5hMCEYxqEeHRrB7K2vq/AZ+hUhj3T+0cpdg5tpBpw+3YVcPaWHNyQ2yazxenzcKgDNW8a0wNmLK+negL31yH/F3XJNV4qBCK2EC7KOVYN6gUwZp6htjjN/3osRiIbKw9C9tz/oN+Qwf+yUupxe73QQCVFa6ef29DSxZfoSlP16ATSVAtMMrHPNvt6GB0iXfNjtcuAz+a7kp3e5irMaATkV6TH93A7t2FvHRnPPoripda/tf1Di9xERZuO+GLgxqEUb7nIigz9CFq45z+FA5U6d0QkTwBWq9OySSv28adz+4hEnXzGPPkp3cPn69b76o8xY1ug8ng+6XPUBiHyWBI8sybz+3icjMRHL6plPiknjmgy0cWbyM5N59scUrZPJKHQESIj5CCOH/DkLkRwinHZu/bUZcmwyKD37CMzcu5P63RtG+ZzJ//LAbyXuGj+zQUHJoGylpkSTrTLdEAYqdXkpVAiOxgWxJmctDpjpobRHV+MBBg/bervHI3H1fP84b15q509eSX+Sg34BOTLigLek6k7yGUFbhYs4f+azfXECYzcgl41rSq2syWw5UMPenvThdXnq0iGDs0AyMOrNTQSfpbopJXX24bnwzPvjhII9e/zPX3d+P5m3iKC6o5vP3NrL6jyN8NuNMYsa2oWLZVt880Wcq7u6lurpkSZcRNCbH4tH5fehxzQPL+GLeAQCenHOYxy7OwmQSeeS2HhgMIhEDOv7lfQkhhNOBXGM7IlI38/ODi0nukkWfm0eR2lYJGrTyF4C0KCUQ1/OT+4+W8+Cdv7FmxTHl4aT+GJsQxq139aJZ71TumfITmc2jeeutU2uad0e/WdAPuLbh6VbsnsqW9fn8MGcnUTFWomOsbC1zU1lYTWVhDeWF1ZQc85sPdh3TnPPu6cfDgz+qd5kGo8iEBwfw9Z2/8sjdv/P5jxNItCnHZ8IFbYiJtPDso8u4bMyXbNr4KC1btvTNW1Hq4JvpG+kxIoeM5tFU1xN4gZ+EMAgCyea6gdzuGmXeCLMhoLQB/FmwWKuJIlUNGIvyHBMMIjhcCDZLgGJDI0GizEZ2lypqizYxfhJB21IhMbhhrbYkAbCr5ZVdWkcj1jiRw6wI1Q4MKW8EzNMm600AFm6/hgqPRFZaOMZankh6kiCYCkS0NFzK6ds+3b42SJOZjNgE5VhJ5qa1mDXXQ7zV/I33V5xHV2ailooa9f6iqvJF1l1Donodnq4caLnqTbJD7XjUIdavEtNINi3BAv5kzISLv8diNvDGW6MYqRKLC3/ez113/MamLQV8+Nk2pl3Zud71yqlKi2lBV/IS1rUF1Rv2NrrN+u0xqdtTX5ZYU6pYDSI3XteNb77ayZsvr+Gq67rSvmMChbZbA8jM0V1jOLFhMgDOwyd831dvOYB98He4cgfhiY3i6ifXkZgQxqUXtqWi0kWEmoxxeSUSE+x88M4YEt1VPPnpfnq1jmJAh79vCq1H98se8H0+sTICWZKorPid0v15PPb2KJpHmFi8Ko9Pn1pOn7NacPH9Lfn4e2X61c88cUq3JYQQ4P+OR8ephtl86hKyjSFEfoTwj0A0mmh+xkVUb5rFQ1N+pPe0fnjduzm47BvSe47GHBaJ5HFzYtcaig9s4+EnBmFRM1Meqf5BlEkU8aqZnrIGapj10Gcnag+c9WjVOo4nb1Tau+alJfq+19rN6ss/9IPQRb8fZOIdy6hxeknNiaasqIY3ZmwmJtpCSakTe4QZa5iJp49X0Tw7ku+nj6J1s+gmbXtTkZVi5/sX+zHpkdXcOOFb7OEmaqo9WC0GXnl8ABdNaPOXlmtMjqVc5yAfWapkUvokCWghU16Ji2vf2kP/nslcP7n9392VEEI4LRANBnrefAEHfv6do6v3Ndlsq6bGzTWX/kBevpKBj22ZSVqv9giiSN66HTx89+906pWCy+nlsbdHkZMTXEkBcN2CS32ftSCyXOf6eVEzJfBbV6R8+cCg+omJYPj4/U1sWptHTJyN0hIHbreELdZGeHwY7ho3znIliAyPtXHG1G6NLk8jRsJ3j+C+WxZRcLyKxGxlwPL7Lwe596ZfsIebqan2sGXLlgDyw2Y30a5XKqt/3s9rL6zipjt6BZQqSkCMpe6QJN+ltVsVfe1K9XBLMqnhimokvypQuRGnqg5qPF6satcMQVWYaMqN2sadbVUzV/23NbEK6a3XVLhUFYneJ0SOjaRdXCQd2sTy9odbGdovHRvKe8Kbd2MdAkRD4fEqUpKVYFoOt/m2TSqvS3g0pgSQdX4Rwfw/fNuv+2xuYrcxveFpXBDz6sZwNEnJqGfrOvgURSpJjqaoFf5tWLb8KMdPVPPejLGMGeNvdTxmbAskCa67dj5vvrOOKwaqZWut0utZUl2EdVVK6fa4lCs1WuuE10iXHlFHf3kkOWiHnoyMSKa/N5arrpnHtZN/xGQSWbFsMnAr4R4vL7yxjremb2REn2RuvLgV7eKUsZpQi4yrOlJElM3AwRPVZLd/H5NJ5LJL2vPs00PBJOLySsj7c7nvomb8uaOMa1/ZzrKXepEz+Y8mH4eTwUUTdzH9sWXs3XicsZM70K2/4vVUc6gUWZK58J6+CIIQIj1COG3wyoH+Yadqmf8XsHbt2n9sXSHyI4TTjnXTn6D71Q+xafbzXPx5Hnsv/oSCXSd46/3R3HLDL2z7/k3sUbE4qyvwuFzcelMPLp3coc5yOsf5My2FjbRw0+Dw1HVXdzdivGEzij7PkA1qa0qjbn1Z9vqzbUfzqxh361Kad0ni6kcHEpMQhuSVWPnzAaY/tpSYpDCe/GYCBqPIwe2FfPT4UsZMnsfm78/BZjUG1GhrAwk9yaJlAvXGZx41C2ZO89f9Sw4XfXunsfPHc5n/2yH2HKkkvk0K557VgugoK2tPKNmrmuZ+WXYLtQY42WoMUH80BRcNTGR833iSLl/p+276zW0Ja/n+SS0nhBD+SRgtJiJSo5V7SEd+rC4M1ndEwc9f7+LwgVJEk4m0Ph1oM2G4j1CtzCukYNt+Nq/Oo/uQTMTIpivPgkGSZFxOL85qN4IAT/0xmcWrlfv8wp4nWLnwAAd2FNKmZQy9B2WQ1TyGXeXKs6FjtJniwmoqyl20bBPHpGs602lIFvYIhay4e8qPJMdaufSmHtww7lMiI5umagM4kRmDaBR59sNtPHtXLyorXCxbrBgkV1W6SE2PICsr0OtiWr+PmLpE4umnn+bBBx+kddt4LqtFwpY4PT4pvj1IJ5MyCZLt/uxQbdl+st3sV6fV6rrlUAN8Tc9QW3liMYg+E2oAweP1Ed2oJRPVHi9VbokEXSmH5k8hCoIvkLzjll5cMW0BMa3fp0v7eG69tjMXnd8qYH1S+Z2+z0O6JvPyG2txWy1BB2WGCJuvs4unsG7rXzHM2qAZphyta12qxboNvAfdtYJi50mYVWlvDo3KyK1qgonIScCVW+RLNnj0HddyiwB/dyAAU2K07/Nhk3LdhA3p6vuuUlUY6a+j1mq5i36fPbpnQ5ZKjpUE8VOpbcD6628HCQsz+hQfeowa3YywMBN5hf73u0UtaZKidN5D6jKrDEbs3sYTPGYdiaT51tR46n+fa92NavukDR6cydrNV7F+bR4Xjv+Wx55Yxlljm/PG62vZsbuYC0Zm8tuqfGb/cACbRSQpxsKiV/qRGOM3x42yG/nzhe7c8P4+9hytom23VD76eCvh4Waef3Kwb7qwnCQ+fH4QvS6cz90z9jAjVulLHXnWwkb3tz6UlJQwe/ZslrxzH1d+fzP7Fu3i/gtXExNv5d53x9C6WzJFLpl4i4DBICLLcEv/Wf+o6WIIIYTw30GI/AjhH8G66QqTbjAZ6DixE9u+3cqOy9tz99fjidl2gt17SoiNtTJhXGtysqPJ9/l4CE2uTc7SBRrHKpXgpXZNNyhqD40AKdO5uKep2cOmynWNcZF41AyWp1hRQLz3wVYkAW58dig2Vd4pGkT6jW3Osf0lzP9oK3s25tOmRyrZ7eKZ+twwHpn4LXMWHGLyec3rXddfhdEocubAVAAMbesa7wVDfa32SlVyRD/Ac+zLxdpcWb5Jlwl89ZYOpCc2TTYdQgj/Dfx86ysAJPfojCAaWfH6Cq5cLLL9p71YLAYSsqPoOqYFvSYEBq1/Lj5EWEIs1YXF5Izs4xssH1q8jv0LV5IxsAvH/txM665JFDq9vL7ycgDidUabF3edQWVlJaVHy3FUOHFXe5AdHtwOD27RQEx2NAeWHuLHRfsoOuHP/rfum4bDmkL1iRKW3H8ASZJJy4lm6Y97efu5VbTpmIBHFLjj3TFsKXXx6odnseSXAyz8fg//eeAPRINATqs4hp/bEqvNRElRNe27J58U8QEQFmWl48gcVn+9k+rru5KfW8H3c3bSpn08N9/VmwGDM+mY3b3OfKIo8sADD/DVz+/y1BPL6DUoHVuYiYzwut1EqtzeoEoQPTySTE2Nm3l7ixjbJTXgt2IdYW3TPZty1XdDtG7ZbknGrVMYmg0CFoc/aLe73FSZTVSppHCBVk5jNdbxCcmIsDLl0g506ZTIilW5/LBgH5fd8AtzFx/hzDPPIj0jko7NY7CYDezYVczBbQUsWXaE8nIXefmVZKRH4pVknF4Je0TdZ6gxPpIao1qiUFM/SSdLMga1/LMxKluvFmgsOVB7Hv37wPAXzE/jq1UPk1j/NejJ93fgsKjHwKWSG//L0CtjYq0mwsKU81SfqEyWZeKjmtZJBxQCBCDX4T/v4WZDQHlLMNiMIhXqNBWqAiqiHrWPU3cteIHuPVO4/76+fPLJNn78cS89uiSy+peL6Zhuxe2WePezHXz9/R6WbynmxxXHufJMJaESfaFfvfFh3GgALP3ak5xo57U319GrezLjzmvlI8nSk8J44NLm3PPeLv5zdSuSYpp+XILhjjvu4IMPPuCexx4mMsXOiW25NBvWms6X9GKfzURrVdsVaRLxVLkRRQFJkprU9jmEEP4qvLJ8yjpg6Zf5fwWlpaXMmDGD/Px8cnJy6NKlC507d8ZuP3Vm9BAiP0L4h7Hj+3QMxiSM1sP88Opqrnh+OFdM6eT73VpaDqXlmK0NB87NdZ4fXvUlXtSAGqTM5aFUHS+U6VQNyU10Wm8bo7vx1BaA3rKqOsTML6uO06lfuo/40KPn8Gx++nALv3+1kzY9lIF6UmYUzdrHs2RNftPID3VgGtbVLyfXzE/1NeHujCRMR443ad/+Lhz7cjGomarLRqTy8a+5pPVujrHnqSdzQgjhVMNosWCy26gpKGLDFwU0G5BBUko4hzYe59tnlnP+0Ayi42x4PRILvt7Fhj+P4XJLIMPa179AlmRkScJVUU32iF60GNOPwm37KCz2Z3RLTlSxbvlRNq04SkleJdccn01VZcPqNaPFwMhzWtK+ezKHqj3UVLhY+c0uKip2Y4kK58Ibu9N/THOi48N4977FLPn5ADu3FCCIApJXxmAUGNF1JiO6wshzr6XgeBVrfj/M2pW5vP/sSiRJZsyFbf/SMdt73ETaiM5s+/Ug4874nCuv70pKajixsTYGDG68s9Mld/Tm/gu+5ezBn2IwiiDLDB6Zw9U3dWeNEwZZ4NrLf6KizInFYiA5OZwXnhxMn56p7Cip9pEle3YXc+XlP3LkcDnpmZEkpdhZtyqP7949gwHn+7tHaNntYBJ/PfTZb6fV7CNAPDYLFhR1iL4rSbHDg0kUceu8kY5UKOe9Q5qNDuOaM2lyRz77cjv33P87X361s846BQGys6K4dmoXzLFWjle7AogZH9QSlpr6SllU8kAurWxwHzUCR38oGjouXlnGUKKQEYJ48kNGfZcWTTHj1ZFdxtKKOvOcauwVTbhUYqJE37ZWjRnCTP5j6pbBJChKHulvBhVnDM/hyaf/ZOHP+xl7ZmDHpwXz91FT4+G6KztjzlTKakW1JMsdrhRYGZposhpuNgQQWHFWU71mphoq3B4cunnM9ZQdeWS49obuXHN9Nw4cKKV/y1iMRpEPZqzn3mfXUFiiXO+JsVaSMqIwxNY1s40YuwCAF+7rxWtvr0cQYPceRaFl0KlcJgxO5s53dvLLukIuG5FWZzndpzzIullPNrhfAH2GXs6q32eBAI7iMpwl5SR2bU/XKT0wGA080FcZn5W5vHg8Et99tp0ho3NCxEcIIfyXMW7cOLZs2ULPnj2ZP38+u3fvRpIkmjVrRpcuXfjyyy9PyXpC5EcI/zhEo4n0HiPY8/tXbFl8CINB1zUlObjZVXakFdHdNE+PpDCzT/nRVB8QgOk7FYf1UWl+iXCr6JNTL0iyjKsema9D6y5RHvi71y0heCWkKkeAU7+glrEI+gHYSWS/3BlKm1ptTKMftLeKUfZL3yHHrEq+JV2ZzTGjX95tCmI8WBtv3NyOX7eWsXZdPmeODpEfIfzv4+jy1b7PkiQhiiJnv3s99h4O8h/4mDtv/41eV3Zhy3vr2LvpBGnNY8g9UIoMxLbKxBIVjiCKWGMiSOnelpriMmpKKkjMiKSssJqvXlrNpsWHMBgF2nZPoXu/NOIT7cQn2YmKtxEZY8VmN5EaYyEszERJsYOd2wro2jOFnMTwwI29vaevvlevijDe24eyEgf7dxdz+3tjFUKhFhKS7Ey4tD0TLm3P4YNlfPb5Ds68sC0NdAVvEBEpUYx6/ny2ztnA848vBxmKSp3IsowgCD7Fi1kUmNrrg4B57zp3Dl1/+pUvv78Hg1GkutrNt5/vYMH3e2jeJ41XdxbhrHLR87zWdIwwsfSPIwwe9TlXTOqA12KgrNRBaYmDFSuOkZ0ewdOvDGfDuny+nK10lYpslUiV21undMaj8wfRl71o3k81HsmnEnF6ZJzq8097Kus9SsQA7yhlnnB1fbbKQK+OK0amM278VAoLazhytJyS/Gqqa9y0ax1HRrNo7HaTLzOvR2Om12KkzpS1HsVGqVsKCO4bglmSKFFLJBpqF69Hge6Y6K9JLZhumiVrXWiJBc2UW59oMKcnAHAi0V/alGdX7hW9yqehDnANwa0eSjFICUSpSp5E6FSl5lptlgE+318CkWYGDczgztsXIctKqQvA/Hn7uOuORWRkRHDzNfWbnXrjo6lU16dXZLgkuV6jWQ12kwGX3rBcFHwkYDBoKljtvIXVeoYIgkCzZjFUGUS++24PUx9YxoRzW3HRqAw6ZoSRmtD4WKl1sygAvntnBCPa11WbJWTFYTIK1Djr1yp1n/IgQFAS5IKrXqO0+Birl3yEySjy2M1dyEi289vKPGbP3UHp7CrenzmWCl0Z0Ka1eeQdrWDwHX0a3f4QQvi7CHl+NIxVq1axZMkSevToAYDT6WTbtm1s2rSJTZs2nbL1hMiPEP4r2Pvbl6R0bc0XTy3nspi+DOmeGPB7uK6lbbDSFT3EaiVYTwpvGlERpRsINlQL2xAMdiuCTjZqUomKs89twxPP/kn+4TKSM6MC5ln89U6MJpHMVv4B25HdRRzaXcyTkwOl9U2B1yux4NeDbFx3jHC7mXMGJJOW1HCbw78DTd6drSsvcqqZUX03lxbNdrDvQOlp244QQjhdEPVkoN1Kt2tGsvr1n/h2XR4A054dSk6HBO4f9zWSLFJ1ooRW5wzGaFUyiW6Hk00zf8BgFFn5017mvLQas8XAxff3Y9ioHOwRFlJ0bVodulFLlEVZd2KyncTkk5N4ntMlhYXtEji2v5ROUSaaJwR6jQxs/R4A6/ZdB0BmdhRTbulxUusIhvDECHpPG0yni3oSGVaFJcLCI1/vpXOzSOJS/Rngd1dfARBAgowYMYIRI9b5/h5+6WUs+HAzf6zMJbNDAt3ObElWp0QeHvwRHo+Hm+7rz9xPtmMwi0RFK91ruo9qRk7XJFxtE+naLY34+DDeenkNhYXVNG8V48t+Z4ZbKK+VCddKRhy2QHm99k7QG0MGC4L1Xh++rHttsiXSjrW4DFCCx4SEMBISwgLUEPoAFSDNbvYF33ibVoKpR7HVvz+mJno3maUmTqe7PxoKpBtCtVtCfzjDVcWKPrg3NbHU9d+AW54bwlO3L+K6a+djsxmRAUeNh/YdEpj5ydlUqF4kkZ6m+ZhpcKnHX3tSaO2ha5dh6WEUhQCSrczlJdoS/FhXeyTSVaLQ4ZWodHlZ+ecxXn5+FatW5zL+3JZ8PONMDCpZIkQ8T83aixrc5jP6p9EiK5KPv9vLiPbdYPshpAibr401gCgKCGEWn3dLaeFtuiUoe5s99ATjZl5NdVEl7vICyvPKMZgMxLSOZfXry5Flma9fH8rIAYp6ZOKYbM4dnsl5N/zGgvn76X9GNrvLXawscFJpUfaxNLdhxVQIIYRw+tGhQ4eAcZjFYqFbt25069a4IfvJIER+hPCPYt1HT/k+d7h0JBtn/MDEe/5k7ksD2N41m6s1M7fI8DrzSiYjolN5sQtmXUvYBhQheinnojwlGzcgoWkmhE6vTKRZ7QigU18Y7PXPf+fNPXn+1TU8N+1nLrmjFx37pVNyoooFs7eyaqHSCrbHyBwkSWbbn8f4/Lk/adMyhvEXdcRsNgS0JJSOKUoUUZdNM6UrJMv6ZQeYeP2v7D9UTnS0hepqN3d6ZW67vD1P3taNjYX+F3mCVTlWLXQqlmo1o2jS1Q6jkjmi3Rqg/jgZSJJMXrWbvP2lvL+riJtCyZQQ/sUo2B8Y4H323EpGjWtFt35prP3jCGUHcln62Pskdm6Jq7KGop0HQZZJTg0nMymM0UMzuXhSB6JjrL7AUZ+Zdunudy1rrhd6adn3hgIaDXfe1pPvf9zDZ7O28uCTg4JO0735O03a78bw+UUz63x3w8+XUllYzdx7F/GdV6bH6GZIXgnZIxMRayUuOZwzU4+Snh68o0VEtJWJt/ZiInB+p+k8vmSy7zej0cglV3dm/GXtmfXTAfasyeXYwTIO/H6YFd/sYsqzw2jTN51y1RTbGaTjRaTPMLQMQ7yfmLbWOH1mog5BR36px96lI6gS1QDzhO58BOuu4YmsS17F6AL+2mcz3GTwbV9tVMrKjDbt9yDrc3mlgO2sjWq35EsoGERlukYrOo4W+OdPidMW1MhM/ndlQY2ylwm209O+cE9YGIKO0NJKhYp0Csdoi/+ga6U9xU7/PHlqy+RIk386bf79lf7lWHUqmPOyowHYpL5jG9u/8EgLT08fy57thaxcdhSATn3TOLtPYFlHudGEN4j6R28AHOy6ro2kMLOvDEubvKFGOqXq8dAeS/WVvyz+eT9XXDWPrp0T+fqL8zlvdLM65qC2Hp83uG2GtHjGjm3BN98Gln9p442tUhgut0SYNXhoInm9HFu/iL2L9lJ5vBxJHceIJhHZK/vGT707xfuIDw2jB6XRu3MC7368lYTefn+gLQv2IYgCuaUhpWoIpx8h5UfDePbZZ3nooYf4+uuvsVr/nmF8QwiRHyH81/DrXW9QfcNzdB7YnLPvXsHj36f50xgqjlQ4CSvOB8CSmRhkKX7oW1U2i1QC/aNVdQ3hlhU4fARIjW4w0SlaGcQ4m/gkEc1GJF1ZTaXLC2YDP84Zx9jxX/PG3Yt9vxlVtYkgwHNXz8NoFHE5vfTqksiX747EbG56pqu4uIYxU+YTn2Tn2x8m0KlLEhXlTmZ9sIUXXlhFTJSFgdeePEuqdZrZ6wUEZXtEXXDWUlSOlXPnIeW3NoEGqrIs8+izK9m38QRX/mfISa8/hBD+V1BwJAavy8WxpcvoMCSLSx8fTJrHzVtPLOeX7/ZgjzST0SyaI/tL8brc5K3ZDkBMQhjX3NeXcWcpA+mIk7ivG0KaziPB5KlbniZipkWSDY9Hon1ODK1jwthVUrdN6ulEWaWRvN2VSOrzc+2C/XWm+fbNDLxeb0Bmpz5obXU1PHXPYn7+fi8ACZmRFBxWiPJHHnmEjKGHKHBI5B8oJSbGSv8BGfUaOgJ4C8tAFOt4NkWWKwFtuY58d0oSTodEnNVPuMdZTXU8pgTBT1Kl686XI1rJYNvlwMBV81uIDHKNaIF6paeu4sRiEH3lnA15dZS5vMRb1XKcRq5Dr65rSpx2fTU4B8QsVSTIlX38ndn+qvFeQY3bVzIEYEyN830+rBrdVetKgGp3VflvoqDGxW61w9LRKv82xqhKLptKnHTqmMAulRTLSTp5M0+PLPsMZeOtgcVEjR13r+Q3ga/djac29NVOFW4vESYDR46Uc8ttv3LO2S2YPfMsBEGgyi0REffSSe/Hhk0n6N4j1afsqC6vYe7io6zaVMgPS3Np3SqW8df3Y+CDkfDegyx6XpmvutqN8dBXFO7KI3twK3KGtCE8OZpzBtmJTbKz6ICLIysPs/zV5Tx0Q6eg627bPIo/dpbg9UhsXnmMWe8coXDbLjIG9yUyIzXoPCGEEMI/h5ycHCoqKmjbti0XX3wxvXv3pmvXrmRmNu4ldjIIkR8h/FcRFhbGhNt78cxlc9m4+BCvDcygSDRwSUUQF3tRBDWjoW/rV67WZUfVncOH7AgrXdSMzqx9VWwqVua/skXT5eXa4KxCLyXWMoW6jM3QQZns23wNDzz0O/N/O4jbLdGnayK3XtWRNq3j+PGXQzicXnp1jqd3l0TEBgbpwTDz462Uljv5fsGFJCYp2x8RaeHGW3pw4ngVL3+4jd6Xdz4pQuWvQNp5iMhBnVixOpcnblzIxuVHOX60gstu6cGM+xY3voAQQvgfxtElS/BUVzN66nAAYhPCePC1MwCoUQN8t9vLju3FFORWkJoQRvseyY22StT7SpwqeL0ST7y4mpJSJ506KH4IrWNOXwlcfUjplMr5703AUFLCnmWH2fTDHsxqFtfl8PDggw/WS3yc32l6g8veckx57oYlRuNUVQWt+6bx6KOPMnPtlSTaDKQmhfFriYOaGjfRunJJ50GVQM9ODlim5qkh2swB/hqR5ZU4oiMDTEGLHIHL1BDsdB+tdPqUIzGWWoGqyYgjiBmlvrVqML8NrRyndpmMBq31amPkvaZAEqr95FlDc5hT4xDySwBIOV7s+76pDWz13dO0d2iV7ru/Wnr6b8Yfx52sK1KO4A1t/T5n2lmXAWtDco1aMAhCQOc6h1ci3taw24pEIDlbX5e7CreXJX8eo7zcxd4DpSz89SAjR2T/pZawu0uqOXqsgtatYtmyq5hla4/z9PtbOX68iqzsKPr2SePuO3pj1Sk/PJLEwp8P8MR/VnDwUBlPvTeS2I5JSF6JuSvcFB8vZfeG45gKquiZGMYqo8j2vWWM6JdGVbWb52ds40h+FQ6nlwVLj2GwGpky7Euc5dWEJcaTM3IIqX3rdqYKIYTTgVC3l4Yxfvx4ioqKGDp0KKtXr+a9996jpKSE6OhoOnfuzG+//XZK1hMiP0L4r2OfHEd86yQ+eXI5ACarkeIrOjLm3JZkZimUhtA8Tal/1gbODdQoS0XlhKsv8uzYhiiRQFjUwUas7sWrtUvMjDg5+VVqSjgzXhrm+1uTVXvLqrhmotKpRSvdcavtcmtDK68xJvoHR8cqnfzw6wEGDsr0ER96nD+hNZ/M3sqxvSW076QoZXKilOUYdA/IanXAWa7L/xxX/Tv09ejZzhoONtB5560Zm7jpnsXEJ4fTdUA6PYZk0qVfXZf2EEL4N6Ft0jpWrVnDGdd155yuSqlZjS6ozNZ1c2o7QDUP1gWsml+E3mhSC2YidQG0PnPvaxOqK+PzqPMYdd4PkupVoakWZI+Xm+//g/c+2srj9/Rh9Mick97fU4GPx88C4LKvp5CcYyGrWzIjbu5F6yh/EHZNzyf+8vI7XToAU5iFoj0niMxpRrspHYjK8KsBvR6JZXP3kJEViUcAe1EpAFVx0b5pnAfzkVTixJQcq188gtGAISocb5m/ZFCSwSgIeIIMLrX3RYAiwWd8GTitQQRvPZ1SGrLOsOuun6og/h1NIQ5yq5yEu/zP9LQgbYU1eGMifF4eYQ1SIn5krNxK5JC6pp2HBa2M6+8NzHNQjm9RmP+ey1VNxdvH+d+BWuWK3ttF71GiHSv9MStxKZ9XF9alcvon+o9Tlu5+/+FQKQAdY/xjAoOg3LPtov3XevMIM8tO1DS4bw1BUwZpgY1eIVTmbNwLprDGHeDLUuXxBrzba0M7Vlr5lP55duY5LYlPCOOVF1Yx8eLvuPyqTjz06EDq9nVpHC3axjH9w81M/3AzggDnnt+am2/rSXZONAA5aa9TUXQ7AI7yYkaO/oYNG44zYEA6N6rlfB8+vpQNiw/hrPawQF2u0SgQm2BnwMhsnv9gG53bxHLHM2s4cLSSTm1iKCxxUFXtITw6jdQ2MaT2bAVhWQiCwNKHnv0LexJCCCcPSW74mf9Xl/l/Bdu3b2flypV06uRXbx0+fJgNGzawcePGU7aeEPkRwn8dgigw5MExlOwrxO4tI393ER++t5EZb2+gR68UvvjgbBoSJEZrpdD1kAi1Ma21X9L801H/4OT8zJMzGQwXdGSCzhxPc90X66nhPp04HWrgbIdyjERVprovLo7XX17D6lW5bNpwnDMvbc8Vd/ZmfJcZfLXpqlO/ASGE8A+hqKiIp556io9e/4W0NvH0Ht/mv71JjUIwGjCKEB9rxR5mpLrCRWzsyXWpOpXQSBA93l9zxd9e7vxbZ8GtMPq1W+r81j7KxKx3NnBwRyEfzzkPo1EEVRxoLyrFU1GDISLwmMie4F5Rhqi6flNG9cEaTHURZjTU21bUIAhB/RZqd6HRw+WVMWvFCbXKWjySHOjVEeR5r/8qN0jZpwap0v/ukxKi651OD0MXf4t1o0aSuJqqAfFD30lEqzzVq0H03XKERrqa/C9jQKKNg5U6fxhdlJKXq5AnVS38nh5NhT7TqxmdFjnc9ZayaKjyeOt0w6mpx0fE5ZWxGJT1pNjN9O6bxqdfnc+rL65m+rsbuPnWnhDcvqdB3PNwf84+vxXxCWEM7fsmycmKGuvAsZv4/nAFHL6cW/t+SFTL69j58udUFyqGwU6Hl6fv+o1jB8r8CxOgZd908vcU46zxUlhUg9i7M9Wr8hh11S9E2I1cek4zNuwsYc/BChI79yGt3whS2pfw0w1vnPzGhxBCCKcVPXv2pLIy0Hw4MzOTzMxMzj333FO2nhD5EcL/BERR5NdHfuDCT68iu01LnrmtB/Pm7uHlZ1fSosN7PP7wAO6+tZdPamnUjwAbUIFYCkqQZZmf/zjKN4uOEhlpZugl7UhKjVAGyA3AIAi+LK3eaMxXP93E1ruNwZQUg/t4CaakGESdRNqpltRU6eSsLkmm34AMXnphFQUnqkhIDCRsvv1qFwlxNs7PsWNxKrLmKrcy6HfpBpF56qA4mFlbQxmisnIn48/+iiOHyxk1phmDxrVmyNktfOdlQucZJ73/IYTw38Tk7ydRkV/Bjrk72PurYn43eEon+kxoi6ipwSzGgIBDrwTTsqv6INcSJOLVniEGvdpDr+hQgyTxLxhEXnlJO76bf4B7n1zBnxtO8MWss/+SLP104ZqeHzQ+UROx4OZX63zncHj4dOZmxl3cjiF9MwDYC7So8Qf43grlszEuMsDjAggwmtagnS9BCG4OajYIlDjqvgO8kow5yLtFX1Zgq/V8rU/BIUiyL/ivr7tKifp+0JRFriAdYgKWX9y0JEH1lgO+z2EdFTVR/VRKrXnNZmzq/hbrvFHkJqpJThbv7ChkY7GmXPQf+74JfvVGoaqWSA/zD3ubRyjv20y7/7sidbo20f57/ITO6DUj7PQMm6vcfmJC310oS71UmnLstbNsEgOvhYb4I5t63eSpZvL1lduk2JXn0uTLO/LuW+v59ptddO0QdNJ60T77Ldpnw/C+sO3g9T7iAxTFB4cv59D2Aga93I7VCw/jdXtIbR5D7r4SNm0+QY+hmeQfqaDVgAwMRoF9q/NIaRVLybEKvLJyoJY89QNetxdbXAyyKDN7Xi7muASajR5CVE5r1r/119VnIYTwdyGdhrIX6f9Q2cutt97Ko48+yhdffEFMTEzjM/xFhMiPEP7r+OKSugFzYpKdy6/pwl23fMdDj43hoceWUVxUw7NPDql3OfoOMNrnTeuOMejin6hxepG8MoIAb8zcgixDVIyFqdd1Y+r1ijmoRnScMjM1qz+I0SSsNl2GLV8dOCfKXkxJTb/JJ17UlunvbuCqy3/iP88OpUPHBCorXcz+cAsff7SVp+7tg6WJfh/6jGW3GDUzqpMKl3n8+7B4VxFvPLWCA/tL+W7eBbRuE8eWkr/WFSaEEP5XcGT1Ef54bimmMBNtz+1Ay1FtuKFfpO/3WMt/7zWpdW3AoDODjFaUCXKNPxzq2CySA8sv5qOvd3PVXUvo2PtDzh2Zzdjh4+neMYECh0xqSnhA6Q5w0oaF9yyaBMC5GWHIskyP7NexWE7evPFU46cvd1Je5uSiy/0tt7OPHqc+etoQZfcpPPRlLqL6DtAbWUNwRV1t4sMgCriDkBjVarmKvoygxuPFoU5bmwiBhtUOBkHwDZ5LnA11OhMwiMqynY2Ux3g27PEvP0YpZmissEIjNcx2//lvqONMY9CTOwd0JUKal0nbLbv807bKBhTS478F/ThBOx+FTln3XV1FTKrNQG7NybcvhsBje7KeQZLs7+KibXdTArBgUyQk2hlzZnPefmM9t95YTGxsbJCpGkf77LfqfOd2enlt6nysYSY6Ds/B3LonF5wjsuTLHcx9ax37thXi9Uh0GduCz+5eRGx6BEtnbSYm1saAO8/GHGGl/ZEUvli3jMwhvRFEkYqiMNa98Nhf2sYQQgjhn8X48eMBaNmyJeeccw59+vSha9eudOrU6ZSONULkRwj/UwhGhNx2dx9sYUZeeXE1t97Yg5TkcGTd4FAwqJdxTeBgo6rKTe/xc/F6Zdr0TWPPmjySU8M5Z2Ib7OFmFs3fx3NP/8m+fSU89+LwBrdLP9jQgg492WLVBSJy2OlrzwQQE2Nj9qfncu3V8zh37JfExdmorHTh8UjcPrULd13fFbni1HV6kCSZWbO38MgTy/F6JW55pD9nnvEZAC0yTtlqQgjhH8eiRYv447mlpPdIo/9t/UH47wfyfweTx7ciOcrE7O/38e5HW3n6tXU+5YLdbqJTxwRGnZHD+ee2ol2LWDxldwJgjHqhyes4uuUEtz26nR1bCqgsf5/0tAhatoihXbMo7pjWlYy0CAwp/4yk/P01V+DxSLz/1nrGntuK5jnReGW5DoFdu6uLHoaocASLydftChQSRAvpGiIYBCEwS6/Bqn9fqBGkXg1UFmSZEab6A9oSncdDfUGrRpQFM0vVY6uaITfojLabNTB9SatMdpcqqpk0+8nfH0k6r45DqpF5VoR/OdJpUoP8ryLVphz/pHTVe0b0jxc0fsNuEptsBJurdnHRd/QpqHYT1QhpaxCEOh2L6kNprev1/of6M2r4Z1xxdV9eePUMWmacmvvdZDHQY1Qzti47So/zWxOXAaIoMPSidmz87SDuKmV7P79nES1axnDB22NpVVJFbJyNjKwoujR7G4CVT98FwO/3PX9KtiuEEE4VQq1uG8aBAwfYuHEjmzZtYuPGjTz77LMcPHgQg8FAmzZt2Lx58ylZT4j8COFfgYfvm8+bryZw6+trGTW5I9e0iat3WkOEDVmSmXrLIjwemfF39eaPz7bTsWsSr8wYg0UdFIy/pB3vv7qWGW+u57rru9GlbQLhJkNAli/YIPWvotjhIUHnwK4tOybSP/hx67JfmmTVpCN6NElvn67JrF91Ob8sOsiejXlE2E2Mv7AD6WlK1q7M6h9caoNhvbmiTc0kZ+vWXaGqU6rV7UqyGKmsdHHttAXMX7CfUee14urbexIT/893kQghhFONS+Zczk+3f0dCmwQG3DGAkTlW2qrmnPq4Y0Oxom4akea396vUKaaiLKqZsW4eLUDVS8jN6u/654t+zKKVu+hLMCxuZbCvmR8rE6i/2ywB6g8Nw/umMLxvCkKknVUbjrNpWxGZLeLYtaeYpX8e49kXVvHoE8vp3jWJ++/swzlntgh2eHzYcvB6ZZ+8EoveXMO673bRpn0CF13ekdiEMDyFNezZW8Ln3+1h2ao87ry+K2eNvJZwVSZvsFshsunkysni4LYCSosdXDwlsOWqWW2X6sotCphetCnPxtqtygWLCY8kY6zFHWjn0KE7wZIcXA1iCqLYEATlWR+s7bHNaPB7ZpgCSXOJho0tmypQTAozkavznWhI0rEyOZnOccrz3ZFU/ztWj2OVTtLCLRyrdAYQPMFKv/4qYi0mijv7/UYy1fdgqxi/j8tZjsDyHwg8Rtr3erVjinpKJF3iZIlLmWm7TtWo9+r4ar9yz52f43/HaqU04ep2bS49eR+U2tASLntVpUi6Rac0aUK0U/uasxlFihsYzySrJJW3EfdEl1ciJiGMBx4ZwD23L6LfgHTGTbzxlBAgJU6JAVd1ZeeaPN65fC7dzmrJ5ff3I/9gKQe2FJA95HxefUFg87x9DBuRzYC2MUAMxbVUWCHSI4QQ/l1wuVyYzWaysrLIysoK8PeoqKhg48aNp4z4gBD5EcK/AG2y3gSg16hmLP5yB8Mvbuf7bVNhJZXbC8nJjCQ9O1B++dPPBwiPsZKQEUXB0QqeeG6oj/jQMGlqFz6ftYUP3t7AjLfHnNR2yS63r7RFDNeZ6amD5DKdO39lPYZ4fwdGo8iYUc24YJBiBytEnZxha2M4XO5gxLlzOLq3hDteGUGXgRlM6DbzlK4jhBD+W6gqqKT8aBmXTOtCn5zTq9Y6HfCcKPF9FnSlalrLVrm4nJ5ZNnpmpWNpnsrZY5pz3XXdqKpy8/Mv+5k+YxOXXzef3RuvIqF8GoaMtxtc3xezt7Hu210Mva47j93cFYMaTHZJUJ47O9YeY9SFc7nshl8It5tokR1FZnoE11/bjVEj7qzjs1Hf+jbsvy7g767N3mlwu9YtOkhklIWOHRMC/FQ0mFPjkFRVR+1t0Mpc9OGeR/3DKPg9FEAJnt1BAkOHjinTyI9Kl9cXeNf26lh3opKOcXWf1aW6dumR9ZQtGkUBqZHgNFr3jjM2UD4TrjPYXJmcXO90eph015lbVLbD65U5VtlUNxAFhyqcPiJfrwzRoCcoYi0Nt2z9X0SnaLMv0ZFf7SdCYsz+54xGqOwuc9Iq6uQUNXpPrhj1fHtlKHc1nKyJtRgDrnWzQeREdf1EjVbapF1y+uTNeeNbs25NHg/e8zuJSXZaXnpSu1AvwmNt3Pjxecy4YxH7Np3gq0WJGLatwR5lITqrFbN+NAJteXig3/hUU3yEEML/OkLKj+DIzMzkpptuYtq0aXVK6SIiIhg4cCADBw48ZesLkR8h/Gtw9uQOrPhxLxsX7mdTipKdyj1WwdnnfI3JJNK/dxotmkXz0N19SE+NwOORiM+IoKJEkey2als3k2W1GsnMiebwkYqg69TqZPXkhVGVC9dnDHaycElSQEs+UIzhNOm2/rcqWRlo653hqwRlQOXSZT/0sm+tVnhfmXIcWsc0TbnxwANLOLSzmAfeH0PzDglN3p8QQvg3YPeCnZjsZroMbFrt1q/HKnzqD/29rwW3+ky3Vgqhj1M9qoGxfqRirlWOIXhOPUkK4DqQB4DJ4yUauLBrJGe8PIjWw+fw6CNLePaBvoQfmRbg9wNgSHvT9/nrz7czYlQOb93fhxyPC40ykAvLcMdH0aVDAvlbr+TwsQo+/3YPh49VsHr9cc6/7HvatorF6/bi9cpkpoVzxqAMzhh0ES2SrT5jVnMbxRR12+YTzPtuD4UF1dRUusnK7ki/ARlMG98aIfblgO1r7fGy6PMdnH1+Kx8Zk+JRiY4aVx3zWEOUvU7XFz2Mgp/8ABrsnqE9g13eugFnMFXGuhOVdb8EKkz1B/dRFgM7S5QSxozwugRdpNngI19cDZAiGboykwqVZKlohJB36ZQuJ0tA5Fe7fOSKvvyiVblitnosNvqklncy0KtvAtSOKtmyrsBPgEWohuFCuP+dOGtjAQCdE/xn/0SNciz07W9PJXaXKeRRjFlZZ4XLv+7MCCvHGyAo9NC30QaFhIOGSbBElXyqUIkTtyTXa3heUOP2Xfc1Hi+PPjWYvLxK7rzlV644BeTHY0M+AuDhxZOoyKsgq38mHoeTP78/QGKXDogG//5lpr7+91cYQggh/E/gnnvu4fXXX+fpp59mypQp3HbbbbRo0bAq9e8gRH6E8K9BevMYeo/MYc6b65kyvhX2cDPbNxcgyzB1ckcO5lXx7U97mf3Fdqa/P5bUtHAO7inBFq683HdsLaB778CmuY4aDwf3ldDlvFa+rN7f5TQOVikDFX3ptRYg6bvGJNv9A/NgLRRPF3aVVNMiWu0AowvEtEF0fpWLkuIaPvl4G3c92I9HJv/wj21bCCH8E3A6nRxcvJv+57YiUZd1PVylBAB68rB/khIg2U/SZPCvQDYaEHRBrOZVoS+FkV116/SlmpOX2SfE2rhnamceemkd73+6gw6tYzljcAZnjsimX49kXzeslDAzedUuOnROZOO6/KDLMhWWIaseSJmJYdwzrQsAlU4vT7+5kdIyJwbJiygIbN9Twj3/+ZPbHpXIyYhg7JB0zhmeSULBJN6ZuZkZs7eQkGQnMzuKqEgLf644xicfbeWGa+czsO8cRg9IpXlWJKIo8NjbmwB47sEBtI6zs70oUNmhHRdjejyeWuUv2hO39lmtXfaih977SSPEY6z+YVSlK5BQKHK4CdZJtEyXoQ+v1eLU5ZUoUY0zgwW9+md2Qy7/NqOhSV0AMjxuTLrOJnnVdbumBEO1+r5oTG3QVFgNos+DQv+e1O7F/RXuOt+lhflJmca8Tk4Flp9w0j9FOd9Hq/37na0SU/pzU1CjbG+c1b+NR6v+WjlMUpi5Frl6cvN7JH+HCXMTBjhVtUjY+kzg3cj0H5LJ6j+PndwGNYIH+8/g6aqvOLj8BPt+n4nk9ZLaqyu2eBdLHnjulK4rhBD+SXhPQ7eXU728/wZuu+02brnlFr7++mtefvll2rRpw9lnn82dd95J//79T/n6QuRHCP8alLtlLrq5B/eM/4ZnXl7LxBt7ENY2AYNBIKdtPE8/O4zycie9B85m8eJDvPzicM49/2vWzN9LUlYUb7+4mtc/PBObOmCSZZn3X19LTbWHW27p0aRtqNZJnF2Gv+6+/r+OrZtOADBoePZ/d0NCCOE0QBAE3A4v0UmntlTsfwFapxB9iYcYoWS2NZNmjUC5e2onzh7TnFXrj7NibT4ff72LF9/ZSEyUhXNH53DHg1tJToRYg0h5UQ3HcyvJMoDsUtvAig0/98ItBp64XunAIru9PtVFdY2bxSty+enn/Xz/yyHenL0DgJRkO088NIA7burBttJqIkxGJElm2IDZFBZUExNl4ak3NlBdowSe7drH88U342jdUpHJtouz4y0sC7IlYNQ8QCQZs45slgBBC7Z1UaWmALEbRarqMZ+Ug3h/GESBgiBkVEOxebHDXYcE0cMkir7SkvqMLDU1UrDuMXrEqexOdE3TzC6T7WaOq61em2qQGQzrCqrokqCcpxxd+USN1imlidvzb0aOToGjJVv05JmmzjwZaHyLvlSo0uUNMECtD6YAZYwhoB2zHnqyRZJlREFAlmU+mr6JWe9vIjzi5NtzNwSz2UzHKyex66vvsMcmsfHX35g0+58xUQ4hhBD+OxBFkYkTJzJx4kRWrlzJiy++yJAhQ+jWrRt33nkn48ePR2xkzNFUhMiPEP5VMMfbGX5ZB36evZUh41qTkBpBRnok+/eXAhAZaWHQ4HNYsHAu9zw8gAsntObzr3ZhCzdTlFvBBaO+5KzxrQiPMPPrvP3s2FLA1Vd3JisrGlAybfrBiAbHKSqqK6xx+ySuXVTj0GrdoCVeNyjUsi1613dtAK3P6JlFkVVrcvn0213k5VZSXu4kJt5GSmo4DoeHY8cqKS6soX/fNC6+pD1p6RG+waxe2qxl23aVu3yGaqfoORNCCP9TMJvNpDSP4eiuQDWAQRBoFWkOyI5qcnCv5A8mREFXBqdGBnqvBQHlO1lXYa99p4c+YxNMmq6VzzQkW/8rEMwmZPW50zbVRtvUbC4/Kxt3ZWfW7yjm5w2lzPp8Ox9+0ZERI7I5cqScgwfLmDNjDEaj6PPMlCUJg+o1JFnUAKg0eHkHgLdCCe6sFiNjBqYydmgm3moHazYXUiaYOGNoFiY1U94lIcLXgeWHny+iWZiRyEgL7pJKyipclFe6yMyJRRQFpMqaQN8lwBATXu92uESRYIUc1eozMEx3/h3ewO4x2imrnWwTETCIAh6PxOzpm+jUNYnO3ZM5XFiNPcJMdK1gdFepYqiZEyRw9Eoy5S5vgMdGbUSaDeTplAT2IOSJpkTQXz4NhakxFqOv5MHSkARGh1KXRLRZpNQlUa7zuTrhUN5z6WFNa7veGPQqD818dpPOlPTjVQqx0L+d3wtHf391iVX2PDXMf5++slW5/wud/u3OjFT2W18VdE2rKN9nrZPPgXL/uneWKdfpxmIX4zL/viF4TqT/WtZIDP27OliHodqodHkDPGsasYoBFAJEfxfVp+rRxh/vvb6etMwInnvtjMYXfpJY/+Z79I9XCMvMzMyQ4iOE/xMIeX40DX369GHOnDkcOnSIV199lWuuuYZ77rmH/fv3n5Llh8iPEP51OOOyDvw5dw9fvLKGG58bRlxGBHMX7GPw5PZM6DWLO+/cyCeffMK3X+/k3bfHcO45Lbnn/iXk5XsoPFHFR+9uRJYhMSmMZ54bysWXtsfllepIlhuDwythNYiUOD24vP5BqkZm6LsDaBmW3OqmS4RdLi+5eZUYTCIpyfUP5A8dLmPIqM8B6NsvjcgoC/v3lrBsyRHC7CYSk+xERJmZMX0j776zgfdnjiUzO5oPZmzip7l76NojmQceG0h0vH/YY0hX1nfhOV/jdX1D8xbNmHrtNKZOnYqpgRr1EEL4t6BF2zj2bS0gyeoPzqKakC39n0QQcsQY5w/YpCClMkEXIwr0aB9Hj/Zx3H1RDl/+fIi3vz5AVrKd2a8Mp3N2E5Qy0eF4dEGnKcqO93hJvZMbwqz06ZOu/FHtAGvd50vnxDAKS51s3FZI59YxxIgCMVEWn8oFQKpUiBXZ463T2rYxDlcQhYDSomqvhBiErKpNeAgCvuk2bznBk0+voKrazZ8rlDKA9MxIjh4uZ+o9fRh7aXvffJUeB7WhN1MN1uZUI8DqM0MFJSh1N7GEUtD5Q8Q00hZVg75cRysRizQpxMdfwd4Kp6/j2OI8v1Ip3uI/Yxl25Xqor/Tifw3fHFY8WlpEKse0h85qrFJHDvVJjgT+WtmQPtip0o03muJDpjfo1RIe9amJfB1g1Atf3/JWEAQmXNKWTz7cwpxPtzOkZzmRkZEntyONYPljT5/S5YUQwn8bktw0IvJkl/lvxwMP/D/2zjo8inPtw/f6xt2VAAkEJ7i7lyIVWqiftqen7j1V2tKe+lfqbtQFqri7uyQQQtyJ6+r3x+zuzJKNAAk693VxMZmdeeed2ZnZ9/m9jzxFeXm5y39lZWVUVVVRWek6N+OZIIsfMhcN/+n/pWM5+b7hfPLMelb/msyN9yXxxM2LeeKu5Rx6+Xp07hquuLIj857fSO/+4XQfGsWSDXMI9xBmhqTutc3FCdsHoU6eFrYBRq3J4nKQerq4a1QOwaS0rI7Pv9zPqlUZbNuR6/DA6NUzhMAQdzIzKtDrVMx9aTjdewQDUO+tITzCiz4Dwvnj12Sntg9n/McxwHEzwz3/WcYN1/+JQgE+PjomTe3IymUnuG32n3z+45X4+umpLKvjtXtXolQqcNeruPPBJHbvyueBB+5n2fKlLFr4O2q1/OqQuXj5/o+r2L4qnQ7dWy+RrzQkTu3CUHPXCOvqbfEUre3N0RT2cBNpmIpdIFDoNJiKKxrso1ErmT25Hbf8SwwJNFfWYCqpdHh7ABhsYmhTbwRViJ9zMlelEtNJ1+EpdhEDwOSmQ2Pb78rr/2Drjjyy999KmC1cSanXYqqq5cdFx7hifKyjvK7VZHYhXdjOq5HrrlAq0FqFz6Q5mOzL0sTTFQZTg8oyGRkVrFyZjlar5LV3x2I2W9mxJYd27X359oPdDJ3SAa9Tqnq4qRSU2gzKUBdVT3Iknh2RHg0/l/5+NZXfQ+oBYbD9fjX1fUlFHWj8mjVFgE3AyKgWv3ezVRAGanzbrrrSpsMeDE50zv2yJ11Hoq9wDb5LEz2Tam2/r5V14nfbxVdNVrWJKpPFUbq2LdlaIPYnyVY5yUMjOa7RBJqW/d7aJ1wqbOMJre17ay7PR7lE1KgzWxokTrXjq1NzzOa5Wlxv5q4H+qLTqfn43V0M6vMdd911V4v6KSMjIyPlf//7H3q9nptvvpl+/frh4+ODt7c33t7ejmUfH5/mG2ohsgUjc1EycEIcBzZn880rW1gV68Osh/vz/Vvb+OzBFdz82ijmzhvOFRN+5MVn1vPhl5Od9g100zgEEIPZ6ohjtmfLlw58GxsEtATnOFnh/1rJlM2hEmGQ72Mb6JxILeWxu5ZRUFDN0GHRPPHcEGLb+VBWUseq5SeoqKhnQP9wdu/O5+ppv3HVtZ0ICHBn3bpMcnMqWfZ3KrW1tbi5iR4ciTEfOPVp8T8G3n//fdzd3ZkzZw4/HbmXLlfE88odi7n9pn947YtJ/PDBbipO1vL4kwP537zNDBsRzS3/6sG6NRnceuPfLFiwgFtuueWMr4uMzPlib9pd7N6RxwN3LCGuvS/vvj/WydvDnrtHOrNqFymkSRh1Lqq9nK7TiDQJobRNqZ0ilkkVV6pteTtUXhL3eqUSUyO5LlqCOlCYsVUZJZ4dtvNWerphqahpto1KieecXftpKheS1DMFGpahtWO0iTTDhkezdUcejz2/iQUfjHN8/s5Xh3j4qXV8/OYo/jWni8s26u0VeSQvZWli2VM9Z7RKJbUmi5PRb7BYnGbNHedh2yapVwgAr74+munTE7AA117ViRUpJ9k59Vd+/mQPtz06gFqzlUBd42JCpcGMronrli0pK+vq+pbWmRyhGXZviaa0C6Ne5zCSAYyWlnlA2hN+RkrCSArrxH0DdGcuHPQPFj0d7VVpdhWL92C4m3BM6Vc4pZfwe7q9uJ5jtgnC8uIzy+kT5aEmxkM8rzxJ4lm7SNU32MuxLtEm0HXyET16VucL/SmxhdT4n8X1wGiiUlKGyNVkTFMYzBbH+8t+v55aYU6K3RulzubRarVancL67Jyot5AwKhbe3UV8fHzz5yEjc5ljaYOEpy1JbH2hs3LlSt566y2++OILZs2axSOPPELXrl3b7Hiy+CFzUeKjVfHoKyNJu6kbbzy+lt/e38WUe/uy5MNdLPjvGmb8NI0bb+nO/72+jaPJJ1lYp+WJnsK+pmbci5uiRuK2Kh0wSkvhGk/TB81kNLP0r1TeeGETEZFeLF1xHTGxPo6M6yqFgiumCQMLT40Kg8HMm29tZ8k/qdTUmIiJ82HYqBgSOgeg1zc9o6bVannwwQed1oXG+vDgu+N45bZ/+OWL/WxZfJxbb+vBDTd156vP9zPv+Y188c0Uho+MYcTIWD77/FNZ/JC56KiqquKJ+1ey7O9UeiaFMv/zCXh5tU3pyvOBOtAmJtjEW3tyU8ChqNTb3nfqstNzH1V6C0JLtV4w/OwiQEAzhnKtyYLJMfssiBhqcyNJFW05OuyvT0WNc2jI7bf15LU3tvH9bym8NG84YaGeaK1WHn5qHQAD+4QCOLxSlHot5mrnNuotVocA4uotrVQ4G9RGixWzxXUFMHuIgX370BAPgoLc2bM7nytnJji28/F3Y/qt3fnpwz2MmNmJ8Bhn0cduvFa6CLuM8dJx0ibU7zopGNM9/Ru+4700akpt+VEaC2EAIe9MsaMKScvu/eI6o2OforrTCw2VsrekHhCOqVKI30uJbfJhUPDZ58q4kCmpt9BPIurYK/n0DBDPW6NUnPb4IbdaEMOkIS+1JnOziW8NFotTaK7V2rRYaQ95CbUJT8X1wr1wdL+QHL1nz56n1W8ZGRkZO6NGjWLUqFGkpKTw1ltv0b9/f4YOHcqjjz7K6NGjW/14svghc1ET1zmQJz6dxP/dt5yVX+xl9gvD+fT+5VxxxS888clE3L87wnXX/smY50dDT69m2zNYILVCnOVJ9BUGA6Y2CKpbnF7Fjl+PsOePFKpO1nLNNdfw2Wef4eXVfD+H3nIbQ2/p7vj72p6fn1EfOnoJr4COfUJYMrE9f/5wmNpqI926B6N3UzN33jDuvG0xq1elM3pMO7p2C2Thb+lndCwZmfOBteRB0vKrmXndHxw7Xsrzr41k8rSOKJsIeVNJjGD7sy/19pC+DexeIvUSIVVn8xizSLa0h7tIDQypl5ldS5WWRrXPEFmsFsdsfmtg8vVyGD4+knaVNnHDnpi0OU4qVahsIq2rHBkuj61SYZZ42Xk1MnNtdddjkFzTgAA3xo9rx7LlJ3jsqXV889kkDqaUOD7v1NGvQRsqD0EoOJ33tysvCVflaqXbW6yg1aq4fnYXPv1kLw8+2h8fXz1apQKtUsEVs7uy6vejfPDMeuZ+PrnZmT+7mF7vQpzfW1JHBy9B2Ap2a1mVDVfJdl1RbTQ7rlWxsWV5YrJrTES6qzFYrE7eEnaWl5x+BZPmsD+6U6JFIWlXkRA+0idAFHUOhoi/5Z19BI/IjGoxxGNsmCA8HK8Ut+trCz2RCgPSxLJ2r4jl2aKAM7iJnFyni0apoKRO7KPdU8MeHtXS/Cy1JjMGSfidPSwvwJbQvabGSHpmBV4+OgKD3G37ON9vbioltY3c/OsL6jAbzSz5+zihiYEEBAS43E5GRkZETnjaNAkJCXz88cfMmzeP999/n9mzZxMWFsYjjzzCrFmzUKlaJy+bLH7IXNRM7/4ZC7beRPvOAWxZk4m+UxA9Z3Ri78JkslNLGTN3NKueX8WyJ5fTs3IA/QdG0K69OEi2z14ALUoWJsVsFasASEsh2gfP+bVi29U2w2d7sTBLU1tRz2/PrCUv5SRdxsbx3auL2tTFqyVUl9bhFeqBwWDm8KEixk2IY+z4ODy9tKQeLWX0mHYcPnySiIjI89pPGZmWsHHJtbz81nZS08vJzKogwN+NXxfNJDExEBCFBWkiRVFsOPf9bY5TQy6kiYelIopCJfysm00NxY2WovJyc5R6rXeqNqVokcuu9RTvCWg8LKjSZlxZbPae2WrFp5Fww9dfHcWy5Z/zy8IU2sX6UG7LP6BQwKNzN/HG80NQNjPjbaFhAlSjrb9SPcweJqBTKZsUT6Qf3XBTNz78YDc/f3+Yu+9JcqzXual59rWR3DvnLxZ/uod/3d8HtVoaOmVB08Sgzl+vJtrmpZQlCXtprB/NEeahdVSCAecyqU1RJbkXgiWJgg1n+MAU1Fmost1oyRWi2NLZR7y3Q2wCz7hIMZnmkZLmw7DOJSmlgsAjfTaS/IXvK9FPDEM9UiqGdvnrNGckaJbWm5y8Tu3jlgqDuclkuHayimv46K0dLF10lDpbyeikAeHc+2h/unQPbrC9m0rp1E97fpCUlSdYM38bFqOFof/p02A/GRkZmTMlKCiIuXPncv/99/Pee+9x33338eSTT5KRkdEq7cvih8xFyfTunwHw5JNP8r//fQPAkDt6O/7P3JTFzx/u5ubXRvHZnnSuv/565j37D0qVkuXrZxMa1rKZGrurp1QXaY2k83+/somTmRXMenMsEYlB5134AChKLyeiUwDtOwey4OsDzLy6M1HR3iQk+LNpYxY9egazZtUJPvjgsfPdVRmZJvn666+57bZf6NE1iPFj2xEV6cXM6fGovc9/mEutydKke3lrU26yoHIxNeQojapUNO3acAoqhcLJGLKLR3WNVEixUytJeGq2NO1ib68qYs+5YfdciIzw4pUXh/HEM+t57a3tAHTrEkSXeD/mf7KXiDAPHr5HMMSkgvSpyWUtgML+Upece3m9axHAvr+xmcvUPtKba6/uxCcf7yE62purpsczLMyTgKC3Wau9g5v+05sv393FXz8nM2R4FDfd3hPPRNcz5t4aFeYmrlF7HzfSJeVWPV2UurUjzV0S5iJx6qlUG82U1ItiRK3p9MUNu5ghzQliF5cK6s4+UfilQJ3JwgFJud4IW1ngEIlHT1NhTKdSYQudqrSpefbKP0E2oaq+3sRDty0h/XgpV97cjW79winMqeSvBQe5Y/af/O+LyUwYFAE4h/hK2VZcR3FuJRs/2MGMK2dgHlBGaJfWSxwtI3MpI3t+uGbatGmO6i4VFRWO/00mE1Z7tamyslY7nsJqbX4ap6KiAh8fH8rLy1u9lJWMzNmwePFiJk+ejFqr5N1/rsUnQJhlWbcpm68eX0O3EdGY2l2PQqEgMDqbVU9+TcdJffhtfm9HG+lVgktrWpUw4I7zFAcbITYXUan44e5iZlE68yV9pLYVCwMbu+fHgVIDZZnlLLxrMSMeG8SaVzed1fm3Jl1ndidl8REmvzqata9uwlxl4NpZiVSU1/PLT0dQqRWMHDGKf/5ZjFYrDs6sViuKi6QMocyljaX4ATKyKug6ZAFXXdGRT+ePwSTxIiiqEQ06+zMrne2351+Qxt3bDUep54XU00JjSxwoNbDt+0jX2SvASNc1F45h74fUeHX1qDl9bhMKpLPQrsqE2gUMaX+kAoVdyFAoRE8Oe5vNtW3HYLY6+ivVH+x6g7Qdi9WKVqV0WufqvFRWK936fklaejkvPjOER+7vi0Kl4Knn1jP/g90s//tqhieFUitJ6Cht0y4SSN9ZJ2uN+OjUTuXOK432MAPRC0F6fTw0KmpNFqdwKLPVSm5eFf+5Zxnr1mcx/+0xzL6+C0U1Rjy1KqxWK3v3FvDXkjSW/5NKXk4VjzwziJnXdcZdUkHLLgyVltWxa1ceSoWC/oMj0WhUBLmJ/XElfni4EEGkoRLSCjEGs5XCWgNKqfeT7Z5zJX7k1orhGHbbWPq9VktEkgrbBhWSMrghbkLfpN+rh9ounjk/C6d6kwTqxPMaEebV4Fzsm9vDX8DZs9Me7uIn8Y4otX3f1UbxWIE2oUDq5TIuzDkvB7gWJdbmVTXYrsJo4cpoYdycXil+X/62+6o58cN+70o9daTPrH2xQnLvnrSdt1P5ZLOVVYuO8sHzG3hlwVQ6dhMFi/o6E0/e+Bde3jp++GWaY739/WSxConiAZZmVfLGf5ZSlFPJiZRc2SaQaRMuNbvTfj7vrZmNm2fLwhVbSm2VgXtGfndRX6ubb74ZX19ffH198fHxcfpfutxa4XWy54fMRc2kSZO46/VRfPb0Ou6Z+CPxPUK48tYexPUKZfI9SSx8bSt+Cb8TPXIKxXlR+HXqTsrfO5hQFUBg9z7Muy3ntI9pH9RIk5xKDQB7RZc9pa7dk+sqhPUBHRrGqJ9PEq/swvHVx9j3y2EmvTGW/T8f5oefjlBTXo9CASGdA/n77384evQor732GlVVVaSkpHD48GEWL17MxIkTz/cpyFymmE7cAYDC0417n1iLn4+eZ14aTgkK6iWCR7XEeNU0Ue3gYkNq5Jhtwox03tZ+pnq1ssX5H6TYX2+6U65ZjanpcAmtqmVhMnYMZovTLJarEqs1Fiv33NOHhx9dxbCxsajVgmAy9+nBbNqay423LWbzutko3QVj7dQqFfZcDuX1ZkIlXhDl9SbHddQ75Xdx7r9dXDg1P4LJYsVosRAY7M5vv87gX3cs4aGHV7HvSDH3PtgPT60KhUJBr16hRHUK4Lb/9OL1eZt5+ZkN7NqSy9WzOpPULxydTsWWzdl88N4uNm7IcghPse18+GvZLJCIH7HeeocA0tJqtPbzl5Z8bwqtUkm5LSbJuSrM6U832r/bYK3Uc0j4v6I5t5qLmD8yhVLS0ks2JNgmVqmdQ1jqTsMLC0QPp3yJMGUXbk4t1bthyXF6DIhwEj4AdHo1V9zQlXeeXk9RYTVBwQ2r5Njvl/L1maTsymfhr9MvWkNLRuZ8YW6Dai+t3d754Kuvvjqnx5PFD5mLnh7Donnlr2s4sCSVr/5vB0d25RM7NJr+d/YhdtwMMlb/icbNg4iR44kaPQWlWkP26sWcPLCLtMEDieskKonZ1WaKJS653fyEl0q8d+sqtQDWC2ysp/XQ0vvGPmx+ZyMJ49vT//beDP93ElaLlT//uxo3Xz06nY4ZM2Zw7Ngxp30nTZrERx99xJ133nmeei9zuZOWWcHT/7eWf5af4JcvJ+PZSrMr9gSHUi+NU8MoQJwxB9Ggk9oxVts6qXEjFU3tLupSUUbqddFanGrMSz3V7Ofo6vxc4a5WOfaROoA059FiTwRrsh1b3Yj3iLMHjuj9cc01nXjjrW28+85O4t8b5xBJPvlkAiNHfc/9D63i3Y8mAELoor0/fnrnIU++LZGlQuHchzqzxckbwo4rr4rGzvX9d8eS2DmA19/Yhq+vngfv7yucq1KByWJFpVHxxPND6dcvjLde2cqyxcfRalVERHpxIq2MLl0CefGVkZSW1OLrp+eZJ9aybm0mfUdGOY7RVLnSOrMFjxaGV1W5KFPcVNtSqk1WPNQKJ68PADfbQ+An8aQ8dZuzxWC2siFfqFxk9wzxkQgr0mX751KPkl7+wjvClSCYWS2KQyeqxOU8Wy6vnn5aRx6W1kSvUjp53XhqznyYLjWKKowWysvqiO/qOkQlJELwpiktq8cvUPB0sVeMseeEOVlcw4vzNnH9dYkMGxZ9xv2SkblcsVhbP6fYhZij7HTIzMwkOrrl75OcnBwiIiLO6piy+CFz0XNnvy8B+CfsXwwYGc3hPQV8/OYOfv/PP0QMnU5glyRKjh4gfPhYFEolkSMn4hXbgbTfv+edBZVEDOgAQP9++ad1XE+NyuH9IdUx3DXCgKtvgFiS8N3kcgDC3FTowmylGAuruJAoK/TEN6EbwYnH2fTeLsa9Mp2qMsE7pbIUcBPypFx77bWsXr2a+Ph4EhIS+PLLLzl69Chubm5NtC4j03bk5FfTd8pCPD21fPHuWKZPbk+R7aHUqZUU2spKSg06i80wkBo+9tl88wU0mlAoRAFGircknEdqp9vFFaVC0WIR41RMFiuetvfYqSZwS+xX6eWzX99TRRfnNq2O42gc+TUabm9FCKPR69Xce08STz+znnvv60MXm4AdHu7FCy8M4+57lnPrnT3p1SvUaf/SOlOjuUZMthm5U8N47OEE0mSSjZVItwtXFqzodGoeerAfP/+WQnZmBXt35/PBB7u56aZutO8d4tin06hYPh4Zg6qwhk3rs0g+XMyLzw9lzJhYvvhiP2++upXhw4fTKTGQP38/6iR+2Al00zgMVEUzngNKFFSbzGckqkm9M6TX6WxEDbuYkFsjCjCuEqhKj7e5QBA8znese2al4MXpaxNWOvuIgmul7VpJT6XU0DozHuWS94G9/LDd49StiSpW4XG+HNyRh8ViRXnKu2H/9lzc3NUu86Gl2CrgvffCJszAc88OAWDE/x51bLP2v6+f2cnIyMhc1vTt25epU6dy++23069fP5fblJeX8/PPPzN//nzuvPNO7r333rM6pix+yFxSRLbzJbKdL/1HRPPY/avI2/I3SXeOZ+P/tqE27GDHB0vo/dBcNO6CAKH1cG+yPXucsNTdt71Xw7AX9yaSzZ2KX4QXfhFeHFqdDs+0eLdzgkKhoPctg1j+30WsnbeErnOuQOftQW1JBYGdYgB48cUXefHFFx377Nu3j6NHjzJixIjz1GuZy53/vr0HvZuGpauuw8dXT47R4kjYJ83Pcblh90qwG/xSQUFtuy4KpbLFIRMAaoWzAGL34jCYrE0mMZUagS0JmdAoFU0mUJ0zuyuffraP++5bwW+/z6R9zPucLHqAmTMSePfdXTz84Cq++fYKIiO9Hd4WUgwSkUCnbpgf5NQQhAqD2WVFsFNzaIAgMNj3LcirQqdXc/u/FpOfX82a1ems2HADQ/oIov2fB/6FQqGgQ0d/OnT0B6Ck3sRrH+7mrReEnFDtO5XTa0AH3v+/7Tx5zwraRfkQHeNN125BdG1kJh+EkAhfrdop3Ks57OJTniRc7EyMdm+beKaRXLLDZUKbWZJys7Gel+cwdHORUCEmRFI1xy7wuDVTsagpas1Wsm1CUqKkag7AqKs68dKSxfz88R6uubOXQwA5drCIvxYcZOqMBGKDxJCXSolH0L7N2Wz85zh3PjeE+E4fOwkfMjIyLcNMGyQ8bd3mzjlHjhzh5ZdfZsKECWg0Gvr06UN4eDh6vZ7S0lIOHz7MoUOH6NOnD6+//nqrhNhfnr86Mpckk7t+5li+e9lsul+ZwJLn16P1dMO/YziHftpED/6LSqtFHxCMe2gEh3/4C++NyYT3Hk7CWGGgsCRZHK0NiGtZXHRzGOqFR61CbaE8r5LS3Ep6zuzcKm23Fn/f9T4A/Z98moRZczj2268c+HE7YT1DMFbVEpjYDoA5v90EQH1VPVm7SgkZHcW4PtefltuajExrsmRZGvfe1RsfX33zG5+Cq+SlKmmiTXvJV0mcmsIqfq6yNkxKak+cKjW47ckytaqG+Q4Aam3bhnmIBosjHEFiw9i9DpoLGTkd7N10ZXQZraBp4SHsfZN6FTTlfSL1sNHYBIjmPBLsiWfd3NS88X9jmDntV374/hBP/xcCgt4G4LeF/2bs2P488fgavv3uSqd+uKq205inj16ldHjV1J5S8tfYhKgmFU2mTItnwZf7AXjz3bE8fO8KCvKdvf6mdhN/u6xWK3c80I/P3tnJyPHtWLPsBN16BDN6WDTFeVVkZVSwbl0GWVkV1NWZUakE4aRde18S4v3pmRhEp3h/tFoV2XlV5OdXU1hcjcFgxmy2YjZbMZkslJTUkp1XRUF+NQUFwufzXh3JhAlxjZ6XFHsyUWlojTRpaVMeCC2lo7eGY7aqMQdKDY71Zl/hgejkLS33LBy7VOJBEuomSfRq+/7d1Q3FKk+JQlNue+akCVa3nxTzdw0KEkJdpJ4o9nakYSbVppaHHTWFvd8WyXNU1cLSxFL6BurpOzqGY3cn8fP7u9iw+LhQ7SW3kn1bcujaI5iHHh/gtI+9rG1hbhXvPbWe7gMjOKwawPCXHkOhhLITWZQcPUHUMNeztTIyMjLN4e/vzxtvvMG8efNYvHgxGzZsID09ndraWgIDA5k9ezbjx49v1aqYsvghc8mi0tqz+sPIx/uw8M7FFOzYQPjg0ex9Zx7GN5+j45iryN+3iaOLvyF/zhRCY32abfdgmTAQatfIjFWqzUVU38jg78Bfx9B7akkY3e5MTuuc4BUVRdiAAWStWU1pykE8o9phUCQ4Pq+vqufXm38CoPe/RhA9KP58dVXmMqXi5IMAnDxZS0WlgbBQT4LdtBwrF2ZU7UaDtEqCQiEuay+RCkUmqxVvF55nUjHGbttrVYpGQzaawl4Mwx4qdDoJ1uzbttS7RPq1NJXzpM5koWdSKDOu7sSbr29j4IgbCQsXXPYTEz/ggQf78dijq0nPKCc2xvm9XmuyOI7TWPsqhXOyVje10qUnSrWx8SS6RouFuS8M5YcFBwGotP02uEsSrU7t9hnJGXejUIDBYOaZJ9byx28p3PtwP+64uzcDun9O2vEyrpqWwP9eGekwuo1GMwePFLN3dwFHDheTmlrCdwsOMr+4tkEfPdw16PQqlEoFSqUClUqBr58bwSEedOocyODh0Rw+WMQD/1nG/PfHM36iIIDYhYK9pYIRfLaCRnqBcN4+fmIf7YKJ1Lsy4RSPhYuVapPFKVSoViKKJdjKbvtozk4gKbe1L/1uwtwa9xyZdlsPOieFsvKXZLKOFOPto+PFV0Zw5fQEdHo1i7MqmRTl5djeUG/m7cdWo9Or+M+84Xy/xVadZ1UJB9b8hsVqonDvEeqefB29/vTFZxmZywk54Wnj6PV6ZsyYwYwZM9r8WLL4IXNJUlKupapWGEAd/H45/W7vTWC33pQk7yds4Ej6P/k0AAEdu+Mbk0Dyn1/w3mOr8B92M90mlTva2ZMn/B+oEwctjYkaLSVzVy5xg6PQ6C/sxy9swEB8OvbEUFGOe2i4U2nInF3ZAGg9dZxYdUgWP2TOC5WVBp6ZuwGtVsXA0dEO4aMtcFerHIandKhhfyqkJU+tp4gFIHoeSI28aokQoXURUtEW2L0e6m2xKyalaLxrXXi+NIercZer3BlSHNVnJKJNYwM4ezONhco88dRgNm/K5r47lrDg1+nobe/V7j2CAdiyOcdJ/DBYrE7fgUKBI7npqX1QKRS4qZUtDhuxbyf93jUaFS+/OpInH1/D8qXHiY71IbqdNymZdwPi9TMYzDx493LWr83gtfljmHxlR6xWGDmmHQu+2M9VszozrM9XzgdU3dsg7KWstI7KspsxmUyEh4cTFhaGqU6Mr7SLX1LvlHYR72I0Gpk9ezb3/udXXv9pGoO7Nx5OIyWjykSMp5qMKue8NHabfm+JQbK2bY1jH63SKURH+nXav3OpAGHPVSL1BLLnzsiQhOZIPUzaEvt3I30X2EOy7CEoLc3jk5tRzrcLDrBmWTr1dSZiOgcwelYiD85OhJ4hJPQMobckL5k0we/iLCGnip/VwvznNpB5tIS5X07B20/Y/mTycQ6v/p2w6K64efqRlboTjebSEKxkZGQufS5s60tG5iwI6RrGyKeGsufb/fz90DLUbl4YqyrZ9+ErdLhyGn7xCQx07wju0GXKI/zy5ysU/fQpQVFDCO0W3mz7J6pMTt4fh20eISnlgpuun04cwHi4CQOXSJWVk+nlTJjTlY7eF+bjt+3leU1+bqxX4x0RjN7XjbqyWgxVRdQUV56j3snICNTWmph57SL27ivkiScH4e/v5nBZl2LP96BWKk6pbCL878pGlxqv9uSC/rpzM7ivkwgi9r55SMJR7MvSBKI1ktlluyF3NrNBZosVlU3klRpbhtMIVnYc3xFSo2yyT3ZPFecKOA23lxppGiUEBLjx7scTmHPV7zz3xFpe+b/RACT1COGKKzrw3NPr2Lkjj8ceH0BIiJDPwGC7H4TjiW03Zljar7m0P9LKrK4SdNr7WmsyM2NWZ8Zf2YGfvj3Ea/M20zP+E4aNiKastA6tTo1er6K4qIajKSW89/FEhowUQggtwCNPD2LT+kzuu3Mpj//vWuLbiyXSg9w0RIe/63TMaBc/XWV14nJY6HyXfdVoNHz77bcEh//N0h+PNBA/tEqF0+/dgTJR1DhV+DhdklP8GdK9zPG39D4J1Av384gQMaG2p000k94LVcaz60NLqbS5QakkXmSRNk+e1AqxD3YNxlfbUNSsOgPvKzsmi9XpnRXlrrYdT+hPhdHCiSPFvHjHEny8ddx2ew/8/d1YsfwEnzy1DnIreegxIbylUFLuuKDOTA9/8Ron78pjwbxNlJ6s5eGXhvPU7D8A+GnnjWx/cyl+8bH06T+HVYteJTQqEZXqzPOUyMhcLlisrZ/z4wLKz37RcGFaXzIyZ8kP1wjJ5G7xnE1kn3D2/3yIfT8IrsdekZGk/vE7nWfPAW/BY8HPP5xO19xO+vKFrHtpBb1u7kf8hM6YzUpqyvUc8xdjtMeECQOEw+VGTtYLA8AAXctmbattAolfiEczW54b+sx6UvwjWnwdWIzC+ez+v7ku9/OJ8mPII2NZ+fSfACipd7mdjExrYyp/BIA77l7G/gNFLFo0k7AEf0rqnI2fehdeF5c7pZJrZDccPVpY0rQx7IbqqWEirjg1oaN9grsxUUUqhKgUCpfJazVKBT26hzB+Yhx/LDrKrbf1pEus8Nnbb43h08/28vkX+1m/LoPvf5hGRJzvKf0HD1XDCjNSjxONi/tHJckh4tSexerSc8bDTcO1N3Tl68/3UVZSR12tiagYHwz1ZurqTPj56fn0y8kMHRbtSMZqtlrxD3Bj/icTefyBldww6Rdi2vmSkBjA4JExjBwXS3Q4pGXfA0Bc5Hsur6Nv4P+5XH8qWq2WUVclsOjjvaQfOcnEqxIYPzPByVOmpdiFgMo68f5y9xFUmIpy0eMgq7hhdZFLHU+1mEzXXzJ2sD8HZ+Nc6qVW8Pm8zbSL9eX7X6bj5SUIMzfe0p2PP9jNqy9vZuLkDnTuEthg330ltehNZr57ZyeLfzhMYu8QXvpkIuHR3o5tjvy+F2N1PWEDryC5OpnqypOEjppw5h2WkZGROcfI4ofMJY9Ko6LX7O5o/Nqz54vFYK7GPTiYY7/9iubKQPZ+K5ZoM5tfIX5CT3Z/uQ2FxpOIPh1brR8dvdXk5AtiidJN3ehs4fnEYjJRV1KJQqFApXdj4vw7UKiUKFUqrBZhROZpm3j0bxdI+zGdqK+swz3o8hvAypw/NmzK5s8/j/HBB+NJ6h1KbrWh+Z1agD0pqZekjGygXvD4kBrG0hlnVxVO7MardIbWnvy03CwNM3GRQ0ISYmFPZlpnlYbd2UJTFIomy8eeCVLxwu7ZYDBb8NS2bFbXIVZILombWulUNcIVWpWiRYafVqmk1uR6ht/LW0dgkBuJXQWjLjD4bQKD4eGHHuCaWYlcc/Uinnh8DQt+noZCoWhQzQXAXfJduqpO09j1tnsKudJ+7MJJtcmCRqtixeYb0SiEyloap/CbhieuVSqoMppJ7BnMV3/OZNU/xzmRUsL+3QUs+TOVAUMi+ebb/6BqxZCpK2/tQUSsLzuXpzF/7ka2rM5gxn8H4+XnOmTFWyv2u05SBqiuFUsQjAv3cKrOY7+fvCT35cZCQViRPlPhbtKwqobt2kNYpR5j9kSuy46K7dyTJC7b75Eaiei1qbDG6RjhTeTcOF3s91RpveilUVIvHru43kycp+iVlna0hNTDxXz65WSH8GHntjt68tUX+/jm+0Pc/eQgx3qtUki0u3VlOl+/sZ3K8jpufaw/k67rwsyenzu2s1gsHF9xiA7ju6L18qFg50Y0nt54RV64+ctkZC4k5JwfFway+CFzSfPl5O8cy0l/PEO7UR6kLv4ehVKF1WLGbHD2WFCpVHS9dhCGqnr2fLEGnZc7gQkRTtuszKsl3N1ZvNhUKLYzJVLwDNlRLK6zh7jU2coH6t0vjPhYq9VKRd5xSjIOUbu6mPqyUixGcZB1AEChILBTJBF9EwjtGUdVqRv/3G2bYbz+vHRb5jLnzXd2kJgYyIzpDXPNiAaq3ctANAyl1VfsA4bWqJZyPhAMZ6HvColR7qryRKUtKadKQZO5OBrDXnXGbldKPTVaYnd7aVVOwoA08WxTuCoj6/S5vRKGSoG/n57aWhOHDxShUYueEHYRZP78mUyePJmN67MYOlwIK7ELSUoUjpK9jvNy5Hexomii5K7FxcBTGrp0qr6lVSpcepJIsYd15NeIop6bu4YpV3cCINRdy8b1mfzrxr956/VtPPrEwCbbOx1UaiX9x7Wj/7h2dF2dyQ8vbeTI7D+49pkhHOoshsLEeZ3+8NFsUlJfraVc4u1hrBPa2XlcDLloH1XtWL6pg+h10NpYrVbSjpZgMphxd9cQ1a75hOctIbfW7BDMpF+1tyS5qb2ajPPzeGZGTFqV0dF2Ro7gpdrFRQlktVpJQqcAivKF62u1WqmuNJCdUcHH/7eDA1tzSBoeza9frWNPRcPwV6VSid5bh5eXmdg+Jzj4xQE6jO1EwpCcM+q3jMzlhrkNwl5au73LgctS/Oj98FzH8u435za6ncylh1d4O9wDw6ktySd22DS0Hg0HVgXpgYSNmEFFwU/s/mQZN382heQsf8fnoxLOPLa4zFbi0CvArZkt25akG5+ipqSA9A1/UFdRjEqrx2yoc9omatRkAmIMGKpqyd9znH3frOT4Cn8Spg4gZsQUHrt6Irfccgvu7u7n6SxkLkdqTGZy8quIT/DHggKsYgiCqYnyo2eLRqloNOmmwWLFlQYgtYvtAxRnY/ncCy+OMBXbNatzkX/Aw0X1mEbbc+wunpdO3bDSjiukl6I5QcDeb7tgcarXxg03dWXDukyunbmQZ+YO5fobujh9PnHiRAYOHMj8t7YzZHh0g6SsShSOhK+nhtfYBTVzE7eXVqV0WUnHUWnnLEKvojx1DiHEHjI0ZFg0j/53AK++tIW83CqefX4oRJ7xIRzM6f0FAG9vuZkugyN59JupLHh+A189vpqZ88cT0M7X5X6R7mryakUPCm+b00GVSRTTi0+2fTWQUxPa2rHfP9Jbckd6BY9PW+j4u8eQKOa8MgKFQkF5sS8+gVWnNtOm+OqEIbm05LT9fdHSNCGBtpDaQweLCA1z9sjMyalk1448ugyJ5L93LGH/zjzqbS46QeGePPL2GHoPiyY2NpZYPmvQNkBgnB8ntuaAhw/GagPthnU4rXOUkZGRaYyVK1cyZswYl599/PHH3Hnnna1ynMtS/KjMSidn3XLipl7L1d/+C4C0ZSFO2+xa8NL56JpMG7P703nUv/cMBoMBLy+vRrdTqlR0mDaNI19+yLpPdpN4Y8OHUatUNAhdifRQ8VO6MKsS4yE+XvZqiJm51ah1KgrNClTVregXfJrUVZSQvlEQPvT+wRirK9F4eOHfsRsFezcDUFtcQHGpD1qPYKJ79COkdxWpi39k18eLQaHgnvWLefjpZ4mdMAP3kHB2v/38eTsfmcuHP/9OZe++Qm66pXuLtpeGN3hKjHq73Ss1huwChtTOsIcjKMGRBFTqVXE24WtOpVRthre0XKq931LvFbvBLvVUqJWEylSbLPhqz+6nvdpodhxbKlB4n2a72jNIXiAVJAxma6Nt6FVKx7al9SaCgz34eeEMXnh+I88+tY79+wr46QcLStv1VCgUTJ8+nedfeMrRhsP7x5YU19FvpZIKW6JbN7Wq0XAXq9V1lR6pkONKMJOucqWJuNuM3yhPncvj2rntjl5kZVby/YKDTJ7akd7dmtz8jPAJdCe+XzjHd+WjPlTA+MFhAI6qKmdb/cxOTbk4IZBiEJ/TrT5CBSdpKEmG7bcz0l1ct/ukILLc31mc0Kh3oValJp9EpVSgc1NTeVIQ/Edf25no+AC+fHEjcQtTGDxT8LCxe6gE6EUBJ7NKWJZ+b+98LHiHvnR/vmOdvQStVIiZ900Ej8zObuwStBgPtdhmrq3Alf09FtXRn/aJgfzfm9voNyDCEfqyb28BN13/B9XVRrYvO4FvsDtT7+zN1YMfJTw8nKSkJPR6PT/sua3JY3e+qgdLn1hCyZdbuPrqq1GGySGvMjItxWIR/rV2m5cKkydP5p577uF///sfWq3w7ioqKuLWW29l06ZNsvhxNpQc3kdtYR4FG36g8/Ap1FfWUVdejNbDB6X6wghHkGl9dn3yIgA6nQ6drulBJYDG3R3/bn05vnUbIaM0qPXCPsUxJwE4kCXG0/Zt1zIDKLpXKJs+30v6jlzaDzzzabqku551LHcYKric6jxEF+lDf8Y4bb/rc9GFdffu3Rz+4yPH34aqcnxjOxE5YAxqvRseMbEU7d1OZdYJTlaUYzWb0Lh7E5jYk9hRV6LUaNB4eGExGjix6neO/vwF4YNHY7GIhoaMTFvw66+/csPNfzNlcntumd2FwlpnLyy3RioO6M9RGdkLhTKDySlHgl0kUEoMsZI6wYirN1uI8Gj+fShF6qlvb9t+ietNzb8LxVLA4rrGHCNODeNpLLFqrckCSgWPPDuYhK6BPP3IGn6e/jOzZs1ybFNdXY2HuwYfraqBaNVYUlyTiySoAFZLw+3soof5lLatOOeJORV7Sd2m8LflnimvF+95nUpJUWE1ISEe9O3ffIWy0+GBgV8BQmjESzO90burGXlFy2f57SVuzWbxvIqzfQEw1ItDT4OtJL1vcNt4WZSX1XHiWClpJ8owGS2898pWDPWiWOjhrePKO3rh4a0jZXc+a747yMBpbVe6/Y3vbL/7pTYBZ8BJx2e3DRBCZdt7ifeP3RtESnWVga3rslCplXh1CsTb39mT9IkXh/Lgzf8wevgC4jsGcDy1lIICYVKmz9h2BIZ5MG5OVzx99Vzd92qnfa/r9TlNEdgxkISJCRxdepQXXniBTp06tfDMZWRkZJpm/fr13HDDDaxcuZLvv/+e9PR0br31VhITE9m3b1+rHeeyFD+iRk/GIzwKj7BIwMDWd1dTdCQPz+AoYgdPQ3GZDZRlnNk6T/T6uerzK/lzp5WU39fRZda4s267W7cg1vUIYe2HOwnpGXrW7QGYDCYK9udQlpFPcUoR1cU1mAxugAJDVRkegeFUV/8XDw/BHTYuLo6Q2J4Y66vR+YYQ3D4JtdYNqmDn14JA1PvBuQAo8uqpryol7+AGCvdvJ2/neuGgCgWJs/5N/DW3krd5FTkbVuAX3ZHw3iPZ/t3/NelVIyNzpqxdu5b4jn58+umkBsJHa2ChYQJTu4jgVHkERYPPDRJ71+6q7iqUQ2pMS49VbfNr1yglxrbtf2mIh7TsbWuRU92wWpP9fIPdBZG3voV+9zq1AqXk+rQ0F5vdQ8LSAkcCe99qTK69566YkcBP3x7i55+dxY/Y2FgKC2uorjai1J39dTw19MbRP6XCcV80d/qN5WCxYD1FMGnY0u+/pbBi2QnefHdsm+WRUigUPPruWF67ezlP3bqY5z+ZQJWvG5G2EqsZ1SaKsys4sjmbuDHt0bi1zbAyt9bs8KbckCGse7i3eKwAnXCtMqsFUe9kYTWP3fg3xbk2UcWWZFbroWXY/UMoPFyAt5eKsC5BZFuVUG4kemQsm/9JZc32CnpWznS0XWta6ljOqG743nnsP7nCdmYFbq3kCWOnzCZ2FdSZsVisLPv5CF/N34GxRuyHX7A7o6/syHV3J/HLJ3s5vD0XtVpJcWEtxYXZKBQQFuvNGy99yHXXXecyuW5LWTD9G8xTzcz85CpZ+JCROU3khKdN079/f/bs2cO///1vkpKSsFgszJs3j0cfffSs3lunclmKH3vnC7Pg499+gIpiLcE9ulB0JI+ak/kcXPQuAIGd1hPQsTspf311Hnsqc77xCvUkelAUeftyndbHeKrJDax1/L1ur59j2cc2g1WtEwfmKtu4NKvGzIDberHwvqXkHymGqWfeN6vVSu62VRz4ZhfGGgNu/m4EJQQRGB9IYYoHWC0o1HEUHtjKpk2bGDdOEG98fX3pNGA6AFWGWpdtuypxazKZ2Lp1K8+++B1bNnxH3c7dBPQaj0/HCXj5x5Kx8S+S//ocX9+viY7ryeARN6FSia+Yrz/695mfrIwMkJOTQ2CQu5MHgys8tSqHZ0OoTvTQMrkMQRDXXQzeo+W2cAypZ4erXBNSDNjFmDM3+HVqpcM74tT5gaZyYTRFc8lEpd+XIwGpy6odYofK6k24qZV06xnMwh+XCN4eNuG3b9++AHz3/SFukIRNFdvuFW9b9RCpwORUAUcSI3XqgFMqYtQ2Iso0hTT8StWIZCL1EPnum4M8+9Q6rpjWkYlT2jbvQs/OAbz97RU8dOtiHr3xb2Y9NRjf3iEc2Z3Pnz8c5tiOPAAm6jUkjo1rsq3KEncsEoXLUmvL1+MrXvO6ajGUYk26UEnl5i6nJ+5UlddTnFvFzLt6kTQihv0WD1QaFSgsKBQKogdEE+jpfOP6RwkhMyXHiyH4tA7noNb2RW4tEgTFK6MkObFqxe+1g0IItU7dLrn/B+Q12m7W8VI+eGEjKXsLSZzUgaRZXVAoFATllPHmE2vZsuwEYye258cPdjNgRDT33vMoiYmJTJo0iUXHHgDg+qTWyVCuUqn4/a5FrdKWjIyMjJSUlBR27NhBZGQkubm5JCcnU1NT4/gdbw0uS/HDzrIH3mb82w8Q0b8LWq/+GGoqydu+hrKMo5xM2cPJlD2YTJ+hVl/Wl+mypiBVxfFVJ4joF4/OTXDjjfE8u/shsL0fem8dmdtzSPq3EL6y66MXTrud8vQUCvZuIWFyV+JGJuAV5uMIfbGHvRQc2ApAaOjZe5mo1WqGDBlCdLtD1NVWsmXDd2RnHULv4Udgj/4kTr+TurIiSnZtID11J/nZyQQGt6NHnykEBEU32XbSHDEOf9e3cr4dGdf06dOHp5/+nbkvbORBSYULD5tB6Cr/woWGVqV0Ei7OJRVG0Sh3s10rqdEtNdpVpzGDrVI27sHQ3KSUI5motaHQ4QrpdqcmLbVTa7JwNLkEvV7vNFvUpUsXbrq1O/PmbSJpYAQd4/1t/Xduo9pkdghhTd1RaqXC5fm5qVUOrxCFvQyu5HMrotdPU1fZ5OKaVJTXc/hwMW++tpUZ13Ri3qsjUSgUdIp5v4mWzp7gcE/+8+F4Pn94NZ8+tJJPbes7dAvimqcGs+vHfPauNVDhLoR1RCcK+S8qS0TjX7rc1tTZPCPiEgOJ6uDHoRPCvd3U7KFngDsRfaI4+Os+Bt5ajU7feoPtlvDlTkEA+ldfMYT1QKmR3UuPs/D1LbRv14H163/lxxoxbHVYjwB++HAPXXoFs25pGl7eOubOH8v47uKY4qakL87dScjIyDSKXO2laV555RWee+457rjjDl5//XWOHz/OnDlz6N69O99++y0DB7ZOZTPZqrehUCrRefoQO2oahopy0tf8jrGmkptvvpmHH36YXr16ne8uypwHDv2yDYDAzlEt3sdqFQZX9oRnAH62RIF21+6O4+LY/1syceOO4ht7BvHFZis1hXloPLwIGzqeWhMkBInJ1rBCWUYKOTtWEdJtIN27OyeHXPvDs5wperWW+MShePkEkZy2m/wTe0lb/SudrrgNz5Boek74D6kpm6mvqyE7Yz//LPwf3XtPAmTPD5mz48knn6S2bgkvzdtEv8GRDB7a/HOZWVlHtJdQZUItKTNqfxbtzytAvaVhkk+x5KmItEKK3TvB4qLcrEliVLtKICqVQOzeC1Yn4174X2qu2Y8nTQQqFX1aS1ixn7fUq0IaxnNqadjmkG7fmGgh/fzUfVSNyASNufx6+ehISurcoBrVg48PYOP6LP5101/cfFtPbrq1u8ObRqVoWOlG2k8jVkfeD1clko22+8fVYFSa+PJUseVU7PfPqYeoqjIwfcovpKeX4+6h4aHHBtA59oMm22oNxiUKUscfWbOZ8tZYSjLKqcqqwD/am5AO/rwx5ltmpc5iydbNZ3yM0ixP9H6CB46bpxiGpbSFgf1wosax7sHegmfIxiKxQtm4cCHvxZKcWk6ml7HoyTUExvny7M0L8fT0ZE7vlvVjw+hbKXjne7776zGGPDwepVrFqnxRjLAnXjVIHjN7lZtjFWJi1GEhrVPZ5uj2HH57dTO9xsWxceE+9Ho9Qxnq+Py/q28gdmgUK388jMVkISIpjB8yahjfsnzQMjIyMhcM8+fP5/fff2fixImAMGGxfft2nnzySUaMGEF9fcMQ3TPhshc/lj3wdoN1b26+Cevdw3ly/CK+++47vvvuO0L7DyJv66Zz30GZ84pXTEfYdBT3vA6otgnuvHVJBwHnwWxsh1LHckm5luZIurE7mTstnFj1G52m30bv+59zfLZ7fsuqphirK9G4N55bI3/fRrzC2xGeNLJF7Z0OerWWdjHdKSlMJ7O2AoCMNQsxm00c8XRHpXfDrc5KTU2ZsIPFRFFREXPmzGHXif3ofNyxKCOpyDwulCpFjVdoLL4xnamvr29RQlqZyw+FQsG/7+rF998fYumfxxg+XPAoqrQZr1qJ1Wmv7BLqIT6Pl1BobKO48n4xuxBo7EveGpWTR0hLUZ4iRkjzU1hacKHNVqtTKVz7Po15nNhFjsbKDdupsiVcDY7yZuuK1Aaf6/Vq3v9sIu++tYP/vbiR46klPDx3iCOUqtp2LVyV+z1VjNAplQ7BA8B4yvYqBTR1Zc0Wa6OJVkG4X+3XxWy18s+S46Snl/PFd1cQFe1NYNC5LzOuVCkJjPMjqqO/03oPDw+sZvFskzcK3ochHcXfRlO97ZpKJgYUNhVBF3r21c+S9xfy17u7Ob45G99wL6a9NBJPz9OrRuIe6Ev3m6ay97Pf2PR/y4nqH0fv6GjUp1H+uTHGBokKjLFOEFSytGKoS8GJAAAWhqQDcPJ4KUueWUd8/wimPzoQvV4QVIY8/wQA9eUV1B/ZwokduVhsgmzOrjz2fLsfrjjr7srIyLQyljbw/DiLgnMXHAcOHCAwMNBpnUaj4fXXX2fKlCmtdpzLXvxojKrSOozVVYT2H4jFaCR/22ZWr17NqFGjznfXZM4hwd06kts+il3rv2XY5Ptx9/RvfqcWoFQpufKt7vx6ezYFh7YRE3Z6yT+821VS+WMqQV06kNBDGDxt+Fys8BI9KpXdX+bTbngHEibmNtbMWaPTuaPVuhEQ2RmN1g2VWkulqhJzXS3BPsG079CXwKAYomO68s4777B8+XJhPx83THW5qHRuuIeEYzWayDu4idx96wiJWU5k58F4+oWzdeErbdZ3mYsTrUpJWWkdYZFtl1RXoYCaUwQB6QDj1NCLxnCVi0Nq7EoFVFEwaLiuxmTGS9N2P9feNsPORysaeHbj/1RPmZbg7N0i/GEXOporf+vKc6U5T4kq23clLWXcPsGfnz7bR05ODhEREU7bx7bz5Y13xjJoSCRPP74GvbuGR58aREZlPTFezsLrqYKH/XqcKv4A1NvOUefiHKXJUfVNBNNIxZRTvWOOHC4mLNyTQUOiSIhu2zCXpnh//HcN1lmtViz1CmozbPdpG+a8/jClisOb2uEfLgjv9RXVzP/1b9L35OMW6E+HaRMI7p5I8rHTf2ZWPvIWAIN0Y9j56QYKD+YQED2cyD5CNR173pcth8QTHNOz+mxPySW7vtmH1teHyBlT2HhIA5J5jNqSUg5+9QNKpZnI/h2I6e+Pd7gXq15Yx/G16W3SHxkZmbNDTnjaNIGBgWzYsIGPP/6Y48eP8+uvvxIREcGCBQto165dqx1HFj8awcvfDbfAIPK3bUGhUqHUavH29m5+R5lLCoVSSZfZU9j91o+s+eMN2icOY2RVMG6eWjb9LD6I3a484ViODRRmoTv5iIPo9QWCe26gpMJAepkb7cd25uDPuwno0gvPsJaF1qSmprLvi0UYqqqJGNAdV3OLOm9hhkjTBhUAKoavcyyH1PRhSoc+APz2xYOMnf0SJWHCjNYgk3MSvtWHTXToPYnU3YuJn9wLVcBosFpRKJUo6iyY6moo2rKRvGPbKS9IQ+vmxZEjN9G5c2dHG0/O+8uxXF8lJmt985VrWv08ZS5cIiM9KS6uafRzL63KYTA7lSp1UYVEOnCwb3u+cnI0RaVReK+obeWkVZJwHamgYnUxEKpzlIk98+NrlGKJWZclai3NixQgiCD2dqQ5LZrKrWG2WB0hQnYRwVX54iqjmcI64X3YZ3AkSpWCNz6dxS03dXVs073dh47lJx+F3Jy+fPbRHu66rw9olWRUCm61Cb5uDc7HVfWeppLNVhrEd7MrDw8L4v3X1ADWYLGSmlrKsWOl5OVWERX4eqPbtiWuRA87CoUC66n1f11hsqL1Fa+LoVwYhlokos/AvoWO5bRi4TfTXs0FYMPqWHH/6lp2vPcHGGqY+fww8q39UbTgPmyOiD6x6H3dWfP8X9RXGprcdsEHgrj22MNi6Kn9PpRiqBVdtk31gp9QXbXwG20P+bFjrDGSu7eA+CsHo9Y1/B0v2L0fi8HI6Jdn4ObnQU5qEAc/X05VUR0Js65t4VmePs+8stix/OITk9rsODIyMuef2NhYMjIynNY9/vjjvPJK20xM/vbbb9xwww3Mnj2bPXv2OMJcKisrefnll1m8eHEzLbQMWfxwQVqlMMj0imhPbXERwd37E9pzMH369DnPPZM516x67E0Auhd4UrBzE8f2ruXxK5UMfWQEEHnW7SdM7Era+gJSFy7AMzwKz8hYRs2bg0eQNyW5PlhMJqJij1CSXkb+wSLy9hdQkl6O3s+bHrfMwDMsCBAGXH1uzmDnVzEY66rJ2CyIMVEDYs+6j41hqjdRWpyFWqPDw+YRs+I7MXHpM68sxmIxs37V92QXFeLuFYh3YBSeviEc+H4zPcckokgMd2yv1rvTrtd4wjr2JWXLQmrKCujevSdff/0l119/PSaTiZysFKxWC1qtG25aH7Ta1omrlrl48NCo6NktmP37Ch3GqK9O+ClrKo+EjLO7rT0YSFpuV6MUl083p4fZasVsbmjIG8xW3DXNJ6K1m75SsUrbhBFbZ7Y4vHNK6k3465yHM96+err3CWXd0jRuuqGLI6xl/4m7nASQxx76jffnx7BiWRrVvSOYFOEmnpPF2iAMx+gQyFwYt/ayxy4iOEwWMc9JcxKBWSLMGY1mXn15M19/sR+z2UpMrA8aTduUtT0bOnfuTP0339JTG4VSpWZ3cRoABYiV0FrbP9tUa2DnB39SX1nNre+OJTDGh4KNrfcOCOgQTGT/dmz9eBdhPUJw93drfqczpK5UQ3CZ8HuWGxyIqd6ISqslb2chbr7eDRK1KhQKVDotbn5CUtaawkKK9x8gtF9fvKObTjB+tpjNJooLM7n9vncJDIpCpdZgNhlRa4S3iiyKyMi45mJMePrCCy9w++23O/4+3VDC02HevHl89NFH3Hjjjfz444+O9YMGDeKFF06/MERjyOJHE0QOHEtY76GodLKBdbmj1rsRMWQMQT37cXL7j6x7ZTWhPaz4xCSg8/JtsH0nHw15NeIIuF+g4AUS5iZ6fvQOsAJKdG/14+iK4+QfKCRvzyaK9ytpN6obeXtyqczOYatte69QT8K6BtHj6kRKUwaiKtNSvg0euU4YXF7zqj8EwpGvv8ZYVQ5AydGelB5TQCs7Rhiq6vnj7t8w1dpnqxQkHfyRhx56iOuvv94xUMvLPsbG1T+6bKMo8yCxPsHUVZdRlPkz1WV1aKxhlJbkYLFa8fMPo7Qkj2eee5Prr7+eBx98kG8+ec+pjRGjbqR338mte3IyFzyRkd4sW5XR/IaNUGEwOUx7aTiH1TELL25rDz2RTswbXXgsSA1au80une23CwJSjwVXk/1Gyey5PbRCajPaQzvqmwmpOVvsx5Zen1Obb6pMrZQao+WMSgrXuSjna7JYcXeRf6GkXpi0sOssxfVmJs7sxP8eW8Ots/7ghddGEh3r02C/6Ohoho6I5sO3dzDr42AW5wjr3VRKok8JgXEV+tOU50dj1WCk2MOBpNdWauguXXycLz7dx72P9mP6tZ3x8NRckOLHkCFDMJsMFBdnEhzSdLlbVxjK1Wh9TOg9DKxYIYZwXndFNgA//iMJ60zMx1Bdz6q566grKafj1BvYsS2MXTe/4BQacjZYTMKN1GP2EFY8+Rsr/7ePHrdOxaNbMQAmozh8tvoJyzuKRc8Ou9AVrD+zXCFqnYau149iz2eLKU7eTVDnJMdnNcU6rFYv6ssrWPbfJZiNBupKinD3DCA+ZAT6jLb1Ut645ic2rPoeAE8vPzQaPUqVin8/8CEKZfNCp4yMzMWDl5dXq1SMbAkpKSkMGzaswXpvb2/Kyspa7Tiy+OECh2vneOG/pLvOvDKGzKXB7rfFJKSPPz+Ev379P5J3rCZ72wp0PgFkbvYkdlQf/DtEMnJoxWm1rfPS0m1GZ7rN6Ex2sp5t7/xN6tLd+LRrR9zk8XQeasQ30ttp1mn38caTqtpdfqP6jmuyrN+ZEnNkBiXFOZhqBVEjvtMgamsr2L17N3PmzEGj0XDNNddQWVyOyupOSGgcBflpDdrJObqVvOM7UWvdMdZVYLWCj08FCZ2HonfzoqjwOGq1lglT7ha2z8lp0EZ6+n5Z/LgMCQp052RxDXlV9SgUCrFsqOR219oG4fnVost6kNuFZzS2JiaL1WVyU7s5IvWMsRvbBou1SQ+LprBixWILv5F6e9hFC3d1yw0h82l4Bdg9PuyyQ5BeQ1HdqelGocfYdjz7qZ7PX9zE1ZN/4YsfptKle3CD7a56uB+PXr2ItZ/sYex9fR3vzczKeiJPEUCaColSKRQYLBZ0TZRcVikVzZ6ryWTmh+8Oc+RwMfv2FhDbzodb/n1hV5zr3bs3KpWGgrxUgkPiUNjOUe0hTgIYKwUhwFggXh9tiCBa6T2aDi2RUplfzua3VlBXWk/7SdfjHhjWGqfgEp2Xno5Th3Ho+6XUniw/q7Yyu6x0LE9KFK7LlR7iMPyzA8I9XFUq/NZH9Ikha1MS2VtX4BniHBYb1K0vGndPTh7Zi0KlplPSZKI7DkCpatthfWVxOft3ryKx+zD6DryC/XtWsWf7UuFD2fNORqZJLNbWT1Bqb6+iwtn20Ol0rVI84NVXX+XFF18kKiqKq6++mkcffRSttvnCDmdCWFgYqampxMbGOq3fuHEjcXGnL6o3hix+tIBdH7aeq43MxY9W58bM2U/y15G1VGQfpyo/k7qKTHZ/8gdxY/ti6NsBrb7lj9a4cDeW59ZSXuyBQu1O/wdnYTWbCYwSkqj5eYuD+sN7hUGep1YUQq59UTiWwlsYeGg8PND5+pG5fdlZn2tj+AdGcOd9H7H0rw85lrIFq9VKQkICJSUlTqUlPTx8uPb6F9i0ZxV6dx88fILoGBaGu7s3f6/7nSPrv8VQW0Hn4TdwaM3XKBQK7rz7CwB8/H2djnnvvfeSXLMfrbsalAr0eV3o3XcSLZx8lrlESKuo40hGGQFB7m0i7jWGU5JTyejFbtq5mrkvrBWfXTdb+ISH2vVMsF2sqLFVwmhJqEhrYbDYPV4aGvbSBKXK07zeNRKviFMN/pbkB6mXuOA0J9IE6QVhq8J2/WrNVsxWSOwTxtd/zOT2a37n7Te283+fN3TJD4n05vr7+vLVa1s5mV/FpGeGsSy3hvHhztVUXAkfUi8gV/lWWnKeVpy9jZ5/dgPfLzhIp8RA9Ho1z70gzoT1ivuo2fbOB1qtFt/AKLJyUwiL798mx7BarRTv38/u1SvQebuRMP1W9L4BbTJG++3mTxzLPRY/CCwlZ10J4YlBhAXXNb5jKxPZfRRVuRmcWL2Iurr56PV6dr/ruiLcxBtebfP+5Ocfp7y0gJBeYzhYUYqyfW96mM2kp+3HarWgUJx9VRwZGZnTJyrKWSB97rnnmDt37lm1ef/999O7d2/8/PzYvn07//3vfzlx4gSfffbZWbXbGHfeeSf3338/X3zxBQqFgtzcXLZs2cIjjzzCs8+2niOCLH7IyJwhe79+zbE8cf6dpPy1jePLtnH/tgN0GNsVz/Z90bgJIVMdegmuu+kHxRmq4f2LANifoQM8HOsVCgUK9Zk/mmaDAY1n27m9/u9ZSWWa+Xdy8uRJCgoKSExMdLm9QqEkKCLB8benpxCm4x0cQ9fRt1JbeRLvoGiHwfjx+7e6bGfkyJEcHpnK3ctmA6Bfe2VrnI7MRUh6WhkRUd5YrVaXYQWpFQaqTQ3DCVIqxNll++fhklA0uwgQ7SF6iLidhvdCa1JjtDiEhzKDaHRrlPbEp5ITk9jkdn1CJVEFlUpFqyRxrbOJGdJwlJI6oT8+tpwbfrqWvbvMFqtTVhExX4YVT61rA8pgsTaowgPgo214zLQqk2O5Wqdi/K09+Oi/azmwO59B8c7bri+ow31UHJP0Wha/sJ6MnblEjIphWW4NfQPF43Xy1TvlJHGFxdq0SGS0WBxeSSCWHM5IL2Pbllz8A/SsXpnOpCs68sGH44kOf7fJ411I+AVGk5O+r/kN1ZJkvRrh+lZmiYK+1U28Pgs+Fwb0fuUK9m3+ieLco0TE9ebAzpX4+UnyibQhap07Wg8fakvzgSDyCvVEdChyfJ6/XYdKo2XvXtGrKCZRyMW1NEcUSrrHiPf13hLhfreLdd18Xc+kKtUaYgdPI2Xpl3TsMZKOSZOI9Qnliw9vb7DtkgWPn/lJtpDysgIA3APEsUyvfhPYt2sFRw9vpVPXwW3eBxmZixUh50drV3sR/s/KynIqzNGY18fcuXN5/nnXAqqdHTt20KdPHx588EHHuu7du+Pn58dVV13Fq6++SkBAwNl3/hQee+wxysvLGTlyJHV1dQwbNgydTscjjzzCPffc02rHkcUPGZnTxFUyL5VWTeLMwcQM7ULqkm0c/GU7CsVOArvG4xMbhZ+PgoC4czNQM9fXo/Fou4REpxIQEODyJfj2G9c1s+c0Blz9NB5+p+eyfGpYmszlxZ+7C1i1/AQhsT4M6vIZZpOFmMRAxlzfhSuu6NB8A5cpWpVzcVa7DV/XRM4KDxe5NZqjtN7ksqqM1drynCRVtoyhxhYOEvMlHjZRHhqyqhuGwCSNiiU8zpcP3t/NnbNctzNwVDS7v/Nj4wc78YgLpUes8+DRlfAhzeFS7UKYsTRRzeVEWhlrVqdzcH8hi/9KdSSM7Rjvz91393bdyQsYi48vtdWlpJWmE+cXC0BmSZm4wVlEnWUe20ppwQn6jLqF4IhO50z4ADDV12KoqUDvHei03mq1cvivo+z/4Sci+43Dr0vnRlpongNlBqZ2FJ63T5ZLPI68Vbh7h9Gh53iO7V6MT1A0sd1CufWuTx2buBJC2oqMwgwUShWKQD1Wm8gXEtoOlVpDWWlhM3vLyMi0Fd7e3i2qSnrPPfcwa1YjP4I2Tg07sTNgwABAqDrZFuIHwEsvvcRTTz3F4cOHsVgsJCYmtnqSVVn8kJFpRTyCfen371HUldeQseEoJNdw5M8VHPvdQlDnEHw6jMUrIhaFQsHvBV4A+IcJcXoWkwlj5UlM9Qa8o4JJXmfL2C6ZRQwoEWaHVAPFQYbaIAyYSo97Upp2BGNVBe6nKSicL7b+Mu98d0HmImPz36lYzFYqq0x0vaYHGnct2dsz+eypdVRlVXDdf1pmNB4uE7xAMqpE49Xu+bG3RPQQSQoQnjlpmWppKEi5zSsjo1r0NPDTCm1mS5Ieu1oX6S62GWcrT+0jmQC2m8t7SsREipE2r5TWnj1yRbXRTIVBGtYh/O/TQu+OUzE58pEImJtIpnoq9gSv0nwa9Y14s0R5aFicI5bCPlhsYUSEhhEzEvjp7R28tOI69B5aHh70NSAKqi+tv5E5r4zkzWsXkbk1E51XR/oGujyEGHJ1yvegUSqckru6orrSwJ23/cO2rbno9WqiY715+tkhXH1tZ04W1xAZ5Y36PHkcnQ0eAUL1ruqTuWATP84ERa0FKoTnxFxTTXHafgqSt6HzCsDqG0JBdWlrdLfFVBZmgNWKd1R7KkuE772urIrdX20hd1cmniGeFCWvxX9vN1S2iid+oYKAodaaTyufSWNExPenrCiDQ5t+xliSR7+BV6M5R9XOrrr1bQDys4+QsmsJao3OKeTw2OFtmE1GOnbq6zqLs4yMDHBhVHsJDAwkMLCRH7Zm2LNnDyDk5mhL3N3d27TCqix+yMi0An/f9X7DlfcL/9XU1DD+uSkcWrif1L++Revpg2dEDL6dEvGO7YChqobsLfvJ3rgHY43gIqvx0OMd3YnQvsPQevu2qA/VBdmcWP4rACqdnsiksWg9vPnn43kUFRXx8ccfo1AoiIyMJDU1leHDhzNt2rQGcYIyMhcqVquVTX8dA2DYoyPwixVKLMePT+DAL/v48aM9RAyNJjjGx+F94CkxIgtqXdQgvQSQRlm4CrlwpStYm/m8pdhzWkiFDKukQZVC0aI8iPZQGql3hcXadM4Mu1gV7CapvNGIW/HaHCO1HcMwmywc3phN7/ENk6c9NewbAP5JSKQkraz5TuN83hoXfbVXg5F6iHz/7UH27M5n/vvjGD4mFr1eTUK07TckoUETFw0ad2/Ueg+qirPJ6G1LDio574gEQbSXVkrx9hdyWx0rFkvHWwprKEzeTk1pPhU5xwHwj0okrNP5CamozE9HoVJTVZhFbYkvhQdPkPrPZtR6NYMeGEVQvC9/3fc7Jan7CerccMBeVy0IInsKRWWzU0wNABWSkLa0SkFAVakkop7JCmoFCoWCLoOvIff4TtL2LKcg7xhTpj+BVuecl6YtST+6FYvFhKXehKLUjNVqJTt5LXv2byMqtgsBgRHnrC8yMjJty5YtW9i6dSsjR47Ex8eHHTt28OCDDzJ16lSiW7Gc9kMPPdTibd96661WOaYsfsjItDHu7u5E9o0hok80u74zUZGRSkVWGiUp+1GqNVhMRpRqFeH9uxHeJw6FSknRwXQyNyZTeuwQ8TPGE9xdcKcdECEkkltVvNHRfn2NMBNcXyJWVElb+rNjOTFxIQBqNz06Xx8MldWo3T35bdEi7n/oISIHjiOwcy8USqWc3Ffmgmbz5s2UF9fiHuiBb7Sz23vilV05uiSZXYtTmXhXUiMtnDnF9WYn7w87dnFlZJiYt8eetDRBUlk1r0YIxSioEwWYUHct+TVnPyt8ttjNd6npbhcQpN4VdWYL3prTHzZYrc55QuxVZwyn5L9whdniHDbiqVI5+tIYKoWCjt5ijEW1m4WUUiueIZ7E9wvjl9e2ovfUwiAXxzObOXHiBDHt22MyqliTL+Zs6OCtc5S71bqK7QFyaoxOgtupFW+Op5bwx6KjDBgUyZSpHQGIi3Qu4X2x0tU3htqO/Tl6ZAMB/fqi8/U/o3YKj2wj/9Am3APCiegxgoDYrqgVbs3v2Eb4xSZSW1JI+vrfSV8vrGs/uhPdrk1C66FDozPhE+VLTWlB23TAZKXcU3hPePbswc39xrHgs8fZue0nrrzq0bY5pgvcPYXvM2GI4DJvqKmgcO8WBg2/imFj5sjVXmRkmsHSBp4frV09xo5Op+Onn37i+eefp76+npiYGG6//XYee+yxVj2O3ZvEzq5duzCbzSQkCDMBR48eRaVSkZTUeuM6WfyQkTkH/HDNlwD03joXr/YdiAD6WAJJTdlJWn0Z3pFxaNw8MNXArk9eBKDnrIfJ3L6M5F/+xlxvIKxvjyaP4d++K3qfAOorSlEpdHgGRWGsq8ZgqUSl1eGX6I/CZmjUVukw19eRu2YFWRsWU7h/Kx0mX9+m10BG5mz58UehvHKPWT0dJZ3tqLQqvCN8KC8Wwh12ZApGskZnwhX2/aUFTlRqYRThoRVXZlQLYkU3X43D08BTkguj1nJ2iURD3YXZ4EpDQ68Unc1wHh/p5ViXUyWEwEgrqUhL2PraBBrlKf4cLc230RwVRpOT4W/3aKg0itc52E3baEjKqRhs189+/u7SPCNNuNDrVUqHp8WJSlFAivV0nTgywU/Ytuj6KZTXr+SLx1aTvacLV92dRKHt0j817Bvy8/Opq6ujJN2jQRtGF6PM9Crx2K4ucY3JgqLCwLI1Gfz9VyobN2QREOjGw4+1TUWU803PvleQlb6PzJV/0mHmTShc+BW5e4qCUuoqwX06oIsQ/mm1WDl0fB8Bsd2I6Svk19r548vnoOeNEzI4nJDB11NXVkF5ZilaTy/cQ0JZdLvwW93n2ifBGIynwsykBEFR21EiVFvz8BbDr0LCqhzLKoXw3GiVCsd7paUEBEYy6cp7WfTzqxzavw6Yfjan1/zx3IQ8Aj4evqg1esIiOlFjMFBTkgdA30FTUasv7TLiMjKtgdlqbYOEp22jfvTu3ZutW7e2SdtS1qxZ41h+66238PLy4uuvv3bkdSotLeWWW25h6NChrXZMWfyQkTlPhITFERIWR3naFpefq7R6YgdPxS1Yy7E/lmM2GmHoiCbbdA8Mwz0wDOqEl6HO0xedhzBbo1A6G4EqnZ7oYZMJSOhJyqIvyNu57uxPSkamDbBYLDz66KO8954wQ+7u39DV21RvoiyzDK/oKNbt9cIroOZcd/OCxmSxuhRApPkpyurFd4S//uyMGXtujnKD0KZ0tstkMePViAdJ8uFiVi1No7bWRKcugYweH4dWp6LUFh54xy85AAEAAElEQVRQUFdPvLfrLPaAI9mpPccKQLVRIhRpNSTdPgGf47v45f1dHNyWy7T/DiI8PoCX1t/Ize3/B0BNYQ5HV4/nhKTaS7h7jmN5RKjrcAMfjRIfrZriohq+/Wo/69dkcuRwMUqlgr79wnj73bGMm9iezu0/bPQcLlYMZhMo1fQdej1rFr+L76EsKsLCHZ/nqYU4c3slFFeYjUYMNRV4BEY2us35Qu/rjULjOlZe5+VPSU7KGbVrL+FcbRM0rRbxOdWUCg+OUZLHsKiwGL+ADkRGd+ZYyrYzOuaZEB3TnZ3bf+fY7sVEhXUkROVJGpCdncev39xwzvohIyNzafLmm2+yfPlyp4TWfn5+zJs3j3HjxvHwww+3ynFk8UNG5hyy+//mNlj3Ig2rxwDs+uYlAHrdo8ZsdCdt8Rq+LKug3fjhaCTu94EZgriRW1/iWGfViQP/vlohtl1bIRozmV2FsJmsDYF4eIehVGvQufme2UnJyLQxVVVVjlhPvzBP9v2wh4COgWjchHvaarVy4Nf9GGoMRA7odFpte7uLxq09XEEShk9apWBMLz8oGtyd21U6ln00wj4alTjD621b1ydA3OdwudBObo0oMHhKSn7+lS3sPzxETGLY0Utj64+oHOhsXhcBeuHn+2Sda8+W1kKa2DDQJoiEuIveFYW2SiueGjVVxpb3pdJowiBRRBQmK88+toZlf6cSEKDHz0fPN5/tIyR0K29/MhHfOF/HtkcrBO+X4nrhi7ILHdpGImjW7xbDL3yDhe9u/OwudB0QzsfPrOejfy9h2qMD6T2xPREREcydO5cXXnoZq7n5HDHS7yZEL7yX9+zK4/67llFfZ2bUmFhu/XdPBg+PZmD3z1twZS5+QsLj6dZjNJs3/kTijPtQqlpeNUit06Jx86S+qpQY96A27GXL2fDMq01+bg1U4xYdTv6RzSzasRidpy9hA0yYjGqqK9ycvD9ak4CgOFIOrcNisaBsJnzsbJCWn49KWE720a3kHNtOQpfhAKQcXMt1t9RRUV7Mgs/m4u9/ZuFOMjKXOhdCwtMLmYqKCgoKCujSpYvT+sLCQiorKxvZ6/SRxQ8ZmQschUJB+KDRaDy8yNm0nNLjGYT26opKr8MzLBhva5CTgXK6GGsqAQUWy6WZDFLm4sfb25uMjAwmTZpEcW0OJdll/P3AH7Qb0R6tu5asbZkUHy2i3fhhWDXhVJVBfa1goNuNXQCTUTTCfIOrTj3MRUmAXu2UJNQ+EKoyiUJEex8hX0KtJFTGnkvDTW2rFlV/diKKj1aFj1bl1AcQQmBAyNHR1DHefnULa5an8dX747j+qk6o1UqOpJRw43+Wcs+t//DYD9Nw89QS49H4sMVgge/2CssnVgkeB/fdl+ty24I6M+oIb+78eCJ/vbWdRa9uZvf+IBb9/SzVeblYjAYqi7PxrhU9EI5ViP3XKgWDNsxNhdVqZeOyE2QfLsZiNLPo52S69wzhnQ/H4xt4/nJVnE/0I0Iw7KulJicLryAhOZ61Urg/SgpENwa3aOGankwTQ7t8fcNQVrfeQPdc4BXZDhQKKnNPoIvvBYBaY6Ioy4/SfOHczOZix/ZVvsL9o1CKD0ttpRBqVXZCEnLla0VT5tq6CQtPYN+ufzh8+DBdu3Zt1fNpjCvG3smHRwVX+HbxA6muKuXgniUc3LMEgNC/P6FH0lj6DZ7K+2+cuxK8MjIyFz/Tp0/nlltu4c0333SU1d26dSuPPvooM2bMaLXjyOKHjMxFQlCPfgR1CSRj9WZOrNyA1SSIFWn+EXToNgovnxAq3U7fVb0k7SBWq4WQLgNau8syMq1GdHQ08+fPZ8yYMfT/d19q0ks4tjwFk8GMX1wIA+6fgDao2/nuZrOEu6udvD8uFPx0aqdcJoW1Qi6LLEkJ37QqYbm4zsx/e5z+rLyfrURuZqXguWH3Xikvr2PRT8k89XB/bpyV6Ni+c4I/i765gna9vmD7kuMMv7ozeZKKPbU2lWV7cT3jw12LDO+8E06H8XmOv+2VN0A4F7VGxdWPD8RisbJ98Z+otFp82sej8w2g+OBOvPu7Dr+wWq0Y6kzkpBTx2/dHWLU0jbBwT9zcNdz8r5488Eg/NBoVRouFxJgPTvtaXYz88Ok9juXRrx1H7aaj6mS2Q/xoKV4+wRQXpDW/4QWEWqfHIyCc8uxjBNrEDzvGmhqsFgvGmno07o2HbDWG0VeBolR8DvchVMCxKBUoFErWrVt3zsQPgJjYnmRm7GP7xh+orRGq+nTvPZqExIEcPrCRIwc3smv7Yu6/Yzjx8fHnrF8yMhc6FqzNlkI/kzYvFT766CMeeeQR5syZg9EoeJWq1Wpuu+02Xn/99VY7jix+yMhc4Ox+9/kG65L+/SxWi4XKnBPkb1rJrnULAPCMisE7ph2V6UepzM6l47RJ7LB5w9oTsQHkLQkQ1vUZxO/7NqGMSmBqj9FtfzIyMmfBkCFDUGqUmOpNTHxkIBMfGQjA0Uwh/0KJZJK/vlYQAsNDRZfzw/uDHcvB4UKCxco60eAfHycYJvZwCoA6m4Gd2ENMbGm0iD+d5bZ8EjuzRbdze6nKzYXi7LW7bZcYTzXetviMCqM4aEkKEIzyAEnI2jFbyI0U++cVVQ0/A4j1EM67SFJVRqusJ8rr9I2upvjfviIAbov3BeCr1DLHZ9IcsP9KcK7K44qD+4uoqzMxa3pDQykywouhAyNI3VPA8Ks7N9rGslzhez6xrT0A1gDhOilOuhaapH2stVqZ8nB/jqVqSPtrIR1mXofO1x+LyYhXF/F7j/NSs+3vYyz7fB+VJbWYbN99SKgHL709milTO9K93aWXy+NMUCgVeEUEU1PWML9HeZaYL0VZINzHvhpRuFf7BFGQdZhwb9f5NS40dr0vVEmL3b6LjJ2LKU05AAhCrNptJXs+FvJy7FMqGf3yjei83R0eH5Ul7nj5n1l+IqVag5tvCDt27Dj7k2ghmdl7yEjfC0BJUQax7Xrh7RPE/t3L2b97FQBTZj7A37+9zdsfryUgKJUXn3Ad2isjIyMjxd3dnQ8++IDXX3+d48ePY7Va6dChAx4eDROQnw2y+CEjc5GiUCrxjmpP+yndMNRXk15/mOJ9eyjYuRVznZBN/9jvi+l9c68m27GYzWcVNiMjc64oLCzEYrRQUhzP/iOiUa3WCAauNMSlJN+7wf6XM1mV9UR6igLIhiIh7KdQIpJ08xVzedi9KtYX1DFMkofkdLEnWVVIouqCbB5q9kSPKtv/9S4q3gDU1ZsJ9dExItSdd4+UOdYX5grfcWiEayEIwBqgJuNwqONvQ62GqE4NS5IqVUrGPpfE+lfLSfvjR8z1JtTunpjq6rEYTVRk5/H+r1tJ3Z1P16FRTB4dg5e3lkkj3qBnz55n/A69e9ls4RxPCdz+fNL3Z9TehcLKR97isUI1H3/6FRP7Cln6F2e0rHKAAgVGY13zG15gBMR2pzQ7mYJjO/BLEMSPytwK3APcCe8dQerKY5jqDChUzvk5KksEMcgumioKxfvZEi48kwpJfiCrRlz2dnPnQHIRz7yy+JyIDB3i++LtE4QCBb6+oRTkH2fK1Af59x3T+Oijjzh06AhLfn8fgKV/fsTs2+bxzCuLHfvLQojM5Yyc86NleHh40L179zZrXxY/ZGQuQnZ99EKTn/eY8zD7vxMSRJozc/EJiuFY7K+Oz8dxlWNZrdVRWVHSoI22JjU1lc8//5z+/fszbdq0c358mYuPyMhI1G7u1BbmAcHNbn86VJa4Y4gVRJRCSWiF3mZ0xHmKP5fJFaJxYs9BkeolepiMDBVCMHIleQ4LawXDJq1S9ESwJ0sFMXFmjKRUq7+2oRiQVWPCQ604oxKZZ8r6AsEQtVURJsxDNL6+Oia4vXf0Fq5Dbu3p5w7q3zcMT28tny04yNsvj3D67FDySbbuyGPeG6Ma3T/7h56O5YQphwCICTCz7O/2LrfPSg4hMvqY4297olKVWsXQh0ew74c9HF1yBFNNFZteeNexnVKl4O233+aee+5BdRpJPF/bdBMAjw3+usX7XAoMHjyY119/naz0w0TFJja/A2C1WEg+spGY2KZLu1+IKACVWodVkj+rvsqAe6AHOi8tWGHt3O9RKJW0Hx1Ht6u6g8p11aCWUlNdgbv7uRN6335tDldOjGD06DFU15QTFtoBgLvuuou77rqLG299jeVLPqYgP43sjMO8++otqNQaBo+4mh5JY89ZP2VkZC5OVq1axapVq4TJLqmLJvDFF1+0yjFk8UNG5hJErXOj++yHSFv1K/vWfEWn/jMIo+EAyWq1kpq8nfDIhHPWt7vv+5qTJ7P5fdGrmE0GTMZ6YvpOxj+6MxlHVqL18iFs4AjAdXUcmcsXhUKBR1gUJQf3kZfcA523cE8ba2yGqEkUA7wjBEt94z+iAZw4LN2xfLLAEwCL9eLzeqo2WVEpRM8JqQiS5SKfyD/Z1fY9HevCbHE4ybYqNJ18zq60rZ1wN5VTYtBdRcIxpZVt9pcZGBEqurG6uWkYO6cr73ywGy9PLffd0RN/Pz2LV6Rzz+Nr8Iv0Zll1d1b8oKbyqFhJQlFvJXL0yUb7Mn6KkBth3doox7pRE1NZvaSDy+3jAs2AkvhHk/jLUs/+ZWlc/9wQrBYr7XuFonVTc/+E+0/rery26SYK0svYu/wEIalfc9NNN53W/hczV1xxBZ7hQSxa8hZ97rkWtZ/wnZtKRdHP6i48uxU2T4/SnBQqKooYMPJmiqvLz32nzxKToRa11g1FnTBoLzpWh8bTD/f2Y2g/risKpZLakkLS123m+KoTdJwwG89Q4f60+tiG5JGSKki2sC1LkAZlUUMPp9qaCtzcvRqsb0tGjhzJqAk3s2rJFyT2HILGUxQCv/niMUymh5g49S62bvyNiopiYtp1Y8kfHxLXMemc9lNG5kLDYlW0+pjjYhzDNMbzzz/PCy+8QJ8+fQgLC2szr3RZ/JCRuURR69zoOGE22av+5NiuvwlPHk1QpxCnbWqqy6mprqBrzxHnpE81NTVs2fQz+/Yuw907kPie4zmw5VfASt6RzZQc3gsKBb4dO6PzlcvlyTQkov1gjpz4ioxlS2g3aQqaVo4FvVxJLjeyIlkcEnSMFIzR7GLRE0WtEWa0Le7OszFnwtr8aqolYlVB0Bgih+l4Zf52XnpzO0qlAovFSmjnQMY+PoiCXNfDlexVAVhCRFEnd3MsALNvy2ZjYb3LfUZNTCW/XGyvtMLm3RNoxmq18vNTa0ndmkOXYdH0GBvXpMfGFztvdfr71j7CzFRZWRlLly7lz4U72P7nUYz1ZlZ/czM33nij04Du/fHfNdr2xY5SqaTjFcPY8/Fv5O86gmdcn2b3qSnNw83DF//TTJJ6oaDRe1BZlInFZMRYV0Vldg4dp1+Bxs0Nn5iOAHhHtScovAcpa78jd/c64ifNabbdxPoQ7PMXJ8qFPCrGumqMxnpunDWMOXPObTjJin8+48Y7O1JanMv/vTSb5X9/SkxcNzw8fPh5wYsk9ZuMj28wv/3wMsEhsaQf30fywY1A8+cqI3OpYrUosFpa16Bv7fbOJx999BFfffUVN9xwQ5seRxY/ZGQuQXZ9Ps+xPOfWEFYt/YB1Ly9lyn+HkDAsGtKFz7IzjwDg7uHTase2x/darVYqyotJObSFrPTDeHj6kpqyg8qKYvr0nUp6TjIHtvyKUqVGrXPnZMZBQEjilvztRwDcYy3n7bffRq0+vVdV0uynHMuj43o7ll97cebZnp7MecbNJ5jopAlk7FzMnnfeJmzgIEL6jEKhdI6jrygWRBG/CDEPiD0JKoDaFlKi0ogu6nVmoQ0PSUx9pM1DQupREeYmznRm2KqhSPNi2D8P1ovbLa8VPFEGBol5NzKqxDb9bIlM82rE2d1s2zHD3MT7P8rWnz2lomEfLumPn63crDQ0py1R2S6VNO5Y6omyo1joZ5XJwhWRjbv4KxQKYkYNw6/jYMozjmE1GXH3CcUjKJzUjYBtJh13yUCvvumwnyHBwrVeZRCvz4GDgXTrWuxyeyF/qQLPQKGfFUU1VJbUutxWSvnJWtKPFHNwczb3rvbCWFuP0fY9+od70n9aPGUmBfnrCi+7/Er+HaIJ7dWJlN9X0/W2juh8fFD7WQjMFiz5gvoyANQW4f5XmsFitTpVjrlY8Na407HbaLb98w71uWnUVZehUmvZs+AHlwn7fv99KNOnT6cqPxPP0NMTe6rLCkjZ/AtqrZ5BgwY1v8NZ8Mwri9mzYxlFBRmMm3IHLz4xCYVCwYJPnmDbtm38s+hdDu1by6F9awE4+fYD7Nu9nKV/Ccl/t2/+A08vf9LT9rdpP2VkZC5uDAZDm7/PQBY/ZGQuebQ6d8ZNuZ9vPr2bP15YzwN/zcI+l2uoFwb2Gk3TlSBKSkpYu3YtJpOJQYMGERnpuvyjndraSn7/8Q2OH93pWOfrH4avXyjjJtyLr18o3v5+rMw+gsVs4vjGX/HxCyGk31ACuvSmtjCXutKTfPDBh3y7aBntB1+FQqFgWDsxDjy7SEha+PPn9wG20pMGA5WVldRXlWG1WAArxUVZFBdlkZudwpdxFdxyyy2neQVlLiR2/vI/ALpeczclxw+Rt3U95WkZtBs3A61v85VFLkdSKwWBR6MUxYJAmzCz7k8xLMgvqsqxXBgoeFN0kDiLpZc4C0yny1/ZQlULe5Ubs6TkX91hoe1xt2ez+g/hObeHDjRG4AChvyW5YkhfcF7z+Q8OHAzEbBLPZUCSULnGVryFcQ/0p9+4dix4ai3LP9vLi1eI+1ZXV3P8+HHu++EhqgqrqD2UxZEdeVgtVjx8dIQP6IhPuAa9t46wHmF42ISUze9uJS4urtm+XWqUHnInJHEKRYfeo2LdfuJ7TUClaCJfykWevK+mUhDWPH1DOHFwDcHRXRutVDB16lR8/CPI37yCEVPuJ7tGeD7cwsQKQzXYKlCVCCFAZpMRS1Yyh3b8ga9vKBNnPtXm91VtTSUrF3+O2WRk9ATn30+9XhB9Z938PCsXf87Jomx69+5NZmYmQhYU4QutqiyhIPfiKl8sI9PaWCxgaWVPDcvZO2JeMPzrX//i+++/55lnnmnT48jih4zMJc4XH94OwIrF75KXk8zRL9uR2FkQPQosOjx8Q1i06H26jriBF3F2nTWbzTzxxBO88+67GOqFGVylSsWsWbP45OOPXQ7qrFYr3332FGWlBUy9+mF8/YIJCIh2CCxlxaUAJPWfxMolgov4bfe8TWh4B+qr7BkVIbswnxPqcLat/5bDyz5Fo/cia92PVFeXYTTUkdhrIh0Sh5F089PUlhaSsvgrLKaGs92HJcsPHd0kix+XCDpvf8J6DcUrLIYTaxeRvXEZcVNmtUrbflqlwysjxVZrXiOx19akixZad1shkX9SxXV6D0E4iHAXDexcW2hFgF70NJF6mNiPl10tfh5jS7JaazYS5+mck8NiBeV5ciKQenYobd0tkFSNibIlgc2qdl1mtjlGXSnk6ljzTYy4UiucbFjPEvL2Nh8S98L3YoUXNy/RS6ZdpyJOJAe53Ke4XjyHnn3DmHhbDxa+vYOkyR3xCnInbW8BOYeKsJhsVTmUCvzbh9Lt+qEEd4nCO1SPQqnA06+ht0h9leG0PdguFVQaHf5xXchN20OHHmMbTRZrNhkxGmrgIvaOKcw4iIdPCBaTkdqqUjr3n97otkqlkr7DZrPm77dZvvAVdEHBeEd3JCq0awMPIavVSn76fo7uXYahtpJu3ccwYOBVzU5ctAZb1v9GfZ3wTissyHD6rNbm0fbjV8+hUCixWi024QNCwzqQnyckFh4x7gbax8s5P2RkZBqnrq6OTz75hJUrV9K9e3c0Gudxz1tvvdUqx7k8f4llZC5DQiM6kZ97FL2bF7u2/023nmNQKlVEdRlO8qafyTq8ocE+jzzyCPPfeYeQvkMJ6NobpVpN6dGD/PLrr5ScLGHx4n8aDNLKy4rIzz3OtGseI77TAEAoI3kqu7cvdSzr3bxcuoNHtuvJ8eyDmE0GsFoJ8Q/Hw9OXqqpS9m5bSEbqDpR+fpRnp2IxGRk45Do8PP3ILC/g6JbfAHBz86K2tpKomC4oqWpwDJmLk12fvehY7nvrfvZ8f4CQiO0ExguGrbFe+Hk7mes6pCskUDCIiyW5H5aeEIzfzkEX3vRzWpUgwniqxWfJrkHoJc/XC0uFmdjXrhDX+WmF5Rc/jXCsM05IBSCovZhU0mRoeQWTlhDloSbXFrojze9h9/hwkZu1RYT1FKpTFef4Cu3li20XhlU06/3RrlMRyXvCHX9L+yZlxLWJVBssbPrhEFYgtFMAI+/sTVhCAJVaL/Q+btRWigKwQmlibCcT+0slHjY6FWX5VWRuzeLBtx463VO96HGzVVAK13al6JNd5Kr2odN3cnzubxaun9lkYOvKD6mtKsHLL+y89PVs0arUaDQ6lEolNXnH8PIKoH/nIU3uEx7SjnFTHiAjbTfZ+cfJ2rCYiqxUYkZeiVqnR2VLcnrg0ErykjcTHJXIuJE34+sb2mS7rcXatWvZvO4XAPwCwvELcP5u4uPjCQyKJig4huTDm5w+Gzh8Bot+eg2sVnp1CeStt04vWbCMzKWGnPOjafbv30/Pnj0BOHjwoNNnrRkyKosfMjKXCf6B0VitFhZ+9yQA+/esJH7kzfhHJBDVdQRZB9cyaNhVjJxwM0qlkqrKUua/8w6hA0YQ2m8o5vo6qnKz8IyIQTNmKkv/+YXb7v4/IqI78eITosdIblYKABFRnVz2IzgqlLq6alZ99CVde44gM/0QC354mQ7jryNBIQ7o2se1AyAq6HHHOoVKfPl5B8aRnb6X4tJsvEJjCes1nC5hwsxSTXEGhpoK0vetoLZWyPlQWJDOvffc1RqXUuYCo8OYOE5syGTpE0vpdUNvukzvcr67dFHSsXu+Y7miUgiOK1SILvjxgcLz181PzG/yZ5Yw81tqsBDndeZDCqu3ILysWSi68Ft9xOc9oF1Fi9sqDKvAnC0KEANuynMslzeRCuX4PlEcKg4UhNLQCZ149BqhTKtUJLF78nQIEQVVu8dLg3Z35KJQKLj11ltdfn454BEWgj7Aj+JDKUQkNfxtOHFwLfU1FfQadTPF2Sn06DmeQYOvQaXS8N47N56HHp8ZGp07hroqsjIP0q59EgpF86FiQSHtCApph2dxFqW5R0ndvoiczcuJGTkVgNwjG8lL3sxrr73Go48+2qb9t+fsArhmchQjR44EIDImkWtvfBa93tnb09/fn9vufZvP37sfd3dvegyYyeZVn9MhoS/xnfoxePg1oIAVK/dx4y1v8M2Xj7Rp/2VkZC5e1qxZc06OI4sfMjKXCQOHjicqOprffniFyvJiThZns3/pR3TpM5mkPlcQHxHH0eRtLP/rY8ZP/TfHj+7CarHgn9iDstQj5G5aRX2pWFZSoVKxfcvfTI/uRNKtTwNQmZ9B5ppFaLR6NtedYKxHL5d90Wh0ePkEYrFYcHf3pr6FrrsevmJJv07x/ekU3x+rteGs7cD23aB9NwqTxlJVVULGif3s2bmUb775jdLKjqjVGj56Tw5/uVTQ++iZ/OY4dn9zkD0LdqP31tF+dAcifaxE7B3o2G63cbtkrzIALJLcD14BQsx9bq14T5VWCG6XXULEwNryQvE+rAoUPCcMNeI9bJ+JKVTWOdapbWEbe3IaVk8B6Ogv9EMaUlJhaBjMW6psuC5DEl4S30l4Rv/KEs8r0VfbYJ+2IK1S6IdUBFHZZmsKykSvkuT1QjhLD5v3yekQElPqWA6PFZazvhdzAZ1sxrurpl64LtJQmN3bBS8QhdK1B0hahXDNpXlCGsNsFT1tAI6fVHBgaz4BHQLw9m4+H8mlikKhILBLAvk79tL+ilqGKYcBsD15P1arlfTD6/ENjCY4pAP7131HltlIYUEak6ZcPN4CFfU1FOWl4uEfgbG6jNzCDHYc3ojVemOLZy3dvIOwms14hEVjMRnJ3L2U4hN7iegyvM2FDylpx/bQvftkADy9/LjulufR6VwnLDaZDFRXlqHVu1OSexSdzoPpsx5Do9MzcvyNbF/3N5sO/MThw+s5kbmL4WPmoFAonCZNZGQuC9rA84NLyPPjXCGLHzIylxGRMZ3594Mfsi85mcrSXNIOrWX7mq/pO+ImxoyagdFYz/rV33Hk4Eai23UDIPnbjzHX1aAPDMY7Lh5DWSluwaGUHT3Mob1riI7pjNXPl/LMFE6s/R1P31DCO/YDYMXJPQB4nxRfNf3jhXYHDZvJkj8+AGD6dY/TpcNAaVcdooaHvxfVJZWcCcEhscR07EKXXkMJCUlgyd//R1HhCcLC48+oPZkLky8nC+VCZ5b+i6oiA9s/3U7XPoHg03pVjC5mttsqrgycIooNRpvIMmVAmWNdtVF8To9ZBI+PAJ0oWpS6EGPOBukgMHpQIQD+IeKzLnH04sQR5zLdjWHOEfo44/Ysx7qFn4mVNLrMzGx03wlDCh3Lf64QvEDsgkdgpBge1CVQQXKZIFyFSCrxmF1oJ6Y6I/n78oif6NoT7lJn43OvOJY7pdyBaf1WIlLdwfYKLi/OJG3/KgDKijMpyjuK2Wxk5Ojb2LLpZ1av+gKr9e6LokqOoa6KqpIcOvSdSu3JHHLSdlGcm8I773Tl/vtdizhff/Rvp7///vtvrlj2IeEWH5IXLqCqoojJM+6jV9/x5+IUADh+dBc/fPksAB6evsy+7WVee+6qRrd3c/Pi2pue49vPniS5dANDhs5Gp3fHYjGz8p/PyTxxCIDOXQezcfWPdO81Gv/A8Ebbk5GRubyYMWNGi7ZbuHBhqxxPFj9kZC4TXnxiEs+8shidzh21RotfcCz9gm7ir2+fIOPoVqwjp5PUfxIlJbkcS97OkQNCDhB9QCDhA0eRs2E5Nfm5qN3cKE0+AED7+CSW//0pSp0eY20VfrGd6dpnJkqVmgqaDujv2Xc8SpUaTy8/l4nQpINdz4CGM6aBQQGAmEAV4FhpDu39XA+qIiI7o1Kp2bj+W2LiunD/f1V4+wTKs0+XEAqFgh5zBpG3N5MDy9MY8S/XnkdnwqECpcP7wz9cDME4kuHWYFtjnfDTWm4RP5OW2bXjGyx6KZQanD0GLmSkniaTI4UQmBRJPIn0PDrZwllUCgPJhWd+fiExQp4Ps1lsw2ATJnp2FISFvceSm20n87AQWjdqUIFj3ZqtwQD88mkkV9+e7XK/4mwfhnRt2qvEbLUSqFPx5zYxIevhv45jqDFi9R3RbN8uddyCQnEPCWfxH+9y3U0v4h8QweGtC1EqVXTpP52QyETSDq/D09Ofzp2HotO6s3TJu8QNm45/bBd2LXjpfJ9Ck1SdzAHAKzCS9vED6dx3Kge3LuTpZ15k1yENSqWKrz66s8k2JkyYgI9fGFvXf4u3bwi33v1/BIfGnoPeC1SUFzuEj9j2Pbjymkfw8m46wbDwGzqJ2TN7cOu/HuHAgVV4hbSjMO8Yuzb/QUCnKCJjExk59GYO7VtHUUGGLH7IXJZYLIo2qPZy4QvDzeFzjieqZPFDRuYyQjT0hf+feP4PjiT0JTVlB688Nw0An6AYwtr3JSiqC2l7llJamMWxX79C7eZO3BWzUOr0pPzwKVaTkdDIHsR3Hc/ew2tRa90J7pBEVYgCMOMmTqJSqRVdzPccP0Kv9oIQ0RazWcdLc+np5dlgvV9gAAOGXEVB3nFSDm/l4L51DBp2FU8Y6njl2ZapzjIXNr/e+CkAE37LIyXtINUmKxvrDjk+79FVzP1Q/7tQS95zhnOSPoAakziYqKkQjHtjnZrNtntaKn60JqUGC9Um0bti13GhdG9MBzHcLNxNEBPspWoBjlWIwkNGhhCSE96pRtKy4JIwI1qM1//6qJCrY3ueeDy1VvBmSPBum6FBp2DhWMb+gpFYmi+GD2XtExLVeowUQ4WCvM1O16M5enbsxBqDENq0Ya9Y9njczaK3x5ZtTSeK/OVToYy3IlS4vuXF0neJIH4cLISirEBbJ8scnwbqnBPGWq1WivZsx6d9PDof3xafx6XKnvkvUPT0vbSL78bXnz1BcHQXaitP0nvcnfTt2F/YZvWX6CKi2VqfCpE++ER2JG/fBvyiO5/n3jePm63a2OE131A3+Xrc/IPpkzSZvxe+THbmQaJjezTTAqjValat+IvffvuNJ598Ek/Phr9lbckeWyLyQcOvYuS4m5j35JRm9/nv87+zZ+cytm/+g7KyQvQ6D5b8+hJgJTSiEz3+MwaFQsHmDSmotHo27V1PmtHcoLqcjMyljtWqwGpt5YSnrdze+eDLL788p8eTxQ8ZmcsYhULBzFlPciJtL7//9BoBQZEYLJCZvImS/FT8/CMoL8nBglCuMHvNEmqK8lBr9Zgw4hcQhZdPEBFdhp/WcfccP0KIh2ic+LkLRlB5rTizmnJSmIEdmzTIZRtaNx2G2nqXnzXGoKFXA2BVmti45kc2rPmR48d288zD412W7ZW5OBk+fDgr566kIl+u7nMmpFSYiLYl75SW4zXa4jqyJZ4fdbYkoLm1Yv6SgjpBsOjm19Db5XTxsFW3KbdV76kqE71p2kUL369aq8FkaCKTqQRPX0EUSi2T5FZJE9r0615N6f6Gnjx2DhY2+hEAb3xoyx1SKVyL8txU6k4WEdV/ApS1bsjQxUpQUBA9R93MvtVfk3NsBzFdRuDlL3oBGIy1eLmJ7+LQroNJWfoVZdlHz0d3T4uAYCFJd31dFcf++ZaOU24gIKgXHp7+FOaltkj8AEhKSiIp6fyUhR0wbAa9+k3A2yewxfts3bSIdSu/JSFxIL0GzWLvtoWg1xMzZCpufsHU19Sj9zCgUChw8w6ktqK4Dc9ARkZGpmlk8UNG5jLmf89OtS1Nw/r1cygUCh59+jcO7lvD0r/fp+JkNl27j+Lg/tXoUHPNlZMpLPchNDyOT+bfTfbxnfTtP91l2yazGbWqdUtnnorWTUdwlDiT62n3+JDmCkhLByAkQBzMuft4MmbSv+jcdQjfff403XoO4crpj6NUii71b75yTZv2XabtuOuuu3jlnZf5/YlVPPqRFr8QwZjadVI0eKv72cqoLRzsWBcTJcz65yf97FhXeVLYt65aTBrap4vo+XG4WjBqNTpRELCX2S3JF8O1JgwQwjb2FYlGcJy3eL/ZxYM4T1EwSLOFz4RIvDzC3IXlGEllEWmS1GO2fvy+TDiXaeNdh3GcCw6UGtlsFHKHuEtGG2PihXNdnSr2e9rV6QAU11soqTz994ZaK1y3sVrh+1y8XfToSQ9tuaeOX3fBI8aej8TNS/RESd4W41i22srZfpUtddcVv1ur1UreoU14BEfiGRqNjIhW50GvMbfx4dzr6NJFqMw06nqhdLVa74WhshxsoppvUjiaTV5UlR8/b/1tKcv/eIN7763n2muvZfy0q0hd/D2qK7RoAkM4kXsQraHv+e5iszSV28MVdXV17NjyJ1GxXTCbjOzc+AMVZQWAldITh3H3F3L1VJcpqTIUoPUPoK6sGKuvbH7IXH7IpW4vDOS3j4yMDOCcY6Nrj5EkJA7iy48f5OD+1fj5hzNh0n/49NOnHKXwRoy7geQDWzm4fxXWMNEoUFSJM8Ams7DcwzO2wXHctWJ1jPQSocRmj86JjnUHPIR1/xRsZ3JIv9Y6TQCWV2wWFnzhiqse4Lfv/0d+7jHCIxNa9Tgy5wdfX1+e+WQCr9yxhBevW8S4G7oxZEYCTqrYZcLvyyIxVAk/9ScGiElAPbyFZ1MvySpqD6kB8LOFcKw4LIo+ZZIqN3bGDyoCIMpdTVZN03l+Woq/l9C3CqMoJrj7CCJERYnoFXCyRuj76QQG1FUL753j37cTV+qF45TYQob8Y84swbItugivngZKUzOpPplLt1tmsPvzeWfW3iXK6u+fafQzvYcv1VWlTus8w8Kor2ibULPWRKlU8v777wPQccL1HFn0KQUHtxEQ34PjK34ic+M/FBU9QFBQ0HnuaUOeeWUxhfnppOzbRnhEAkHBwm/6/LdmN7nfunXrqK4qo7qqDL+AcCKiOjDxyjv5feG7lGUkE5E0EovZzKFv/6Qk5QSeYTGY62rPxSnJyMjIuEQWP2RkZJx4fd5MHn36NzQaHdde/zwGQy3e3kGoVM6viyEjZ3EyP5+tW36m8+ibcfNpuwHdPwVCHH9zIoi7b0MzqJ2PsO5EWrqT94ed0Ij2APz43bMMGzGHPv2vwFBbz733LwDg3fk3OG1vtVr57rvveHv+fA7s34+HpyfXzZrFY489RkxMTIP2Zc4PQeFePP/dlSz8dC+LP9/Hki/3MfyxwcQMjDyj9vQeBifvjxN78tn2y2HS9xWhVCsJ6x1B56ld8Yn0bbKdHkFKJ++Pi509WTbvlMB6R1lbD7UoqOTkCuUxJ/QURdEv1goig92rQufWspCVlrD4qCBs6uJErxKFQlhuaWx0SYYXymKhT2UekvKe0lK46sbbslqtnFixCc+IYPzjY1vYcxkAvacfxfnHsJiMKNWCN09daQle0ReX94zG3Qv/Dt0pTt6Fb0wCMcOmkrH+T4KDg/EIjaL7wOvRaIUQq3U/PneeewvVVWUs+OQJ6uqqUCrVTLnyIWJiujW738CBA/HzDyMiOoGJ0+5Gp3OnqrKU+soSonqPQ1FnIW1pMiUpJ1BrdFTlZdCt52hG+nc/B2clI3NhIXt+XBjI4oeMjEwDXp83s9HPpNVR8jNyOHxoLZaSAoJCOgJQ6F4NgMkkGjspwWmO5Xpb/skewYLoIPUAaWsKTgqxxpYS0fjcHJpBp+v+jWH/Edav/Zaswgwmjb4NhUKJu68njz+3CKOxHhRWdDp3lv/zKbu3/4NvXHtCh43AWF3FFwsW8ONPP7Fp40Y6dbo8S1peaNyU9AUAeYob6DqzEyve28nqlzcy9MH+dBjVjkeGCffnx/7bHfssXyJ4GwV6i0Ke1l0wggPCxFKnX75QQtaaFcTEB3DVbd0w1JlY81cqK7amM+GFkfTqGyZsGCkmKv3+qxjqK0qpzEinvuIk9ZWl+IcLOSusFis1dVbCe0dhvba9wzsqqZfgVXH8pBgec1WsYDD9/KOYiNBu8AN0GCMkdb1laq5j3cYcW0iNmGaHalullFpJfdYDueKQwM2rnr6BotjTltTXasiuEWaDjx8Ic6wPji1xLNsFjMKdYihRUJSzh0BzKBRWQtsJ30nFATHPRG6NsM7qfeZhegqlFc8qwVi3ntxKRUYu4+aNIrxb/hm3eTlhtgjv5KCYbmQe2Uj+jg14hcRQsjmZ2qJigjoPOM89PD06EExs75ksL8knbdWvdJ19D57hd1Odn0XW5uXsX/M1Cf2uxNMvrPnG2gi7F6fVamXZXx+DQsHNt73N6pVfsPiv+dxx10fNtuHt7c3J4pwGpYgXfPIkZTlHCYzrgUewUDZar/ekylhPl24jWv1cZGRkZFqKLH7IyMicMSqVGj//cCpKc5vfuBFqDPV0io4DYHGyaMQpbIkWOyvEwWFRtlieMihSiCW2mEUhQ6k6s1Kabv5BtE+KQ+/uy+Edf/J15iECAiJRqpXkZh+lvl5IkujjG0x5WSFBPXoSPXYcKo1g7IT268/R777l7rvvZtWqVWfUB5m2wyvAnWlPD+HXV7ew/s2tZG7N4YpXhhEQ5N78zqdQW1pL9voljL+6E3c8Ncgx6J95W09evHsZ697aSo9vr3TciyU5FexblsahP/6mvqIUFAq0Hj7oPH1R2ZJ5ogCl0cKer7djqihn4L96o1Ce/9mcHcUGKorEMpflWcL1UhhFwcRegnbjn3GOdaueE8NGxi4VvDxe3S2eT1CcKCSdDQdXCscs7LjMsc47QXgmK47oHetSigWvgYSRmbQUr55CrpLyHDHMRlkkeqgEDhRE3uJs5xJ9ZmM9u7/YQ8ygKMJ7Nl1ZRqYh7l6BhMT3Iz95C/nJW1C7eRA5aDwBCS1LFtrWJP1HKANr1Ym/NR6Sn78NP811LKs1OmJHX8nBBfMpTTtCYHxPdF6+6P2DyVj2G3tXfU7XYXPOVdddYrGYWfLHBxzev57YodPw8gqgd9IkMtL3sXL5p3SavBb3wHB2f914meFThQ+ALj3GsX7V56Qs+ZTg+P5odB6o3L159sG7mTv3KZf7yMhc6lisbVDq9hKo9mLnoYcecrleoVCg1+vp0KEDV155Jf7+TZffbg5Z/JCRkTljSsuLOFmcRfuwjg0/9FZBhbnh+vPEkXpxhGoNFV99CluagjxLGfqELnT09aQiPw1FZS2lJXlERifSqcsgFEolm9f9jEKppGjfXk4ePoRPXHvC+g/AMyKCkIEDWf3Xn2RkZMjhLxcQ80YucCyn5PwLv45p7Pt2C9dO/JXBD45g+iTRQO18YwYAcV5i0tGCOuEe3mm7fU6sP45GrWDOfX2cBvA6NzU3PtCXJ274ix/eMGOsKefk0X1U52eh1Orwa5/Izwu+Yvjw4Y3WtH/vvfe499576Rztzfg5XeniI/SjKlwUG5bkCEb3bq/FjnWT4iUlI232fXYmRI76paWX6ZxSfEAIReswWhRJam3JXdt3E8sRF0lK4RamC4OdQT4JbC5POaPjpqyJJnFsOgBBHr6O9UaL8B0HGkSvkmxalmAzMLKcou3C+VRGKMjZuJ7aCiNrv1tPbGzsGfXzckQa+lFX9zg///wzvXv3pkuXLheUoVy4fztV+Zmo3NzQevug9fbFbPBF7xmAVi8KZT99di8APSYJ/2vqtHjFCmFeXrE+hPW9nj1v/cPBDd8x7Ao/vPyE99A/3zzWJv0ePut5x3LP8A7Mf2s2NdUV/L1wPseStxMzaAr+cV3Yok3G2l5J5IjRnNixA0PyJnTeAbz/fjh33313i4/XrkMf/AMi2b9nCWl7lgNWohKH8fzzzze7r4yMzOXJnj172L17N2azmYSEBKxWK8eOHUOlUtGpUyc++OADHn74YTZu3EhiYmLzDTaCLH7IyMicMWqNFqvVilLnQY1RGNipvARDzVStBFtG96Bo0WMjqyAYAKVkQLs6dScA1kDR6PSJFIy8kwdFAymvSnSDrzbWEduu9UUGr5AYvKJiAehuFuMEimOKMe3W4BfciYihwyg9msLJQwc58u03xIwdh2dUFADZ2dmy+HGBolAoiBrQnuCuEez4eDVrX15OsGEAg6fFu9zeUGdi59I0spJPkppaQWVeBTUna7CaLbz77AYSegSj1ano1i+cqPa+RMb5ApC5/h+MNZV4RcURO2Y6vu0SUKo1TJ061eVx7Nxzzz38vPIdln17kFHXdAbOrlRs9mqhtHNEneDFsMlzveMze0iNVuIsdWx1hGP5tQeFZzYlUHzmJkQIpaWf3iKWENbZwoKURWKy05n3+/PbfHG/1maQj5CYeJMiFQC3PeLzprYJGRWI3iVqX8E7zFTWcs+w8kJb/iBJJIzVTxwyFR20CSU1oudZVU4WBTs2E9p/iCx8nAV6vZ4bb7zxfHfDJWVpR6gtKUTr40f58WRMtYJXIAoF8f2mNdjebBKeGZPBOcmnSqOm1wOT2PHqLxzY+hsDJ9yFQnFmnounQ8/wDgBMnHwv69ctwGI2cc2cZzimEJ9fhUJBWP+BBEYkkbFlMaVpB5k7d+5piR9ffXSnbek5jh07xokTJxg3blxrnoqMzEWHnPOjaexeHV9++SXe3sJvbEVFBbfddhtDhgzh9ttv5/rrr+fBBx9k2bJlzbTWOLL4ISMjc8bodB74B0RSXpROaFyvc3789BMZTn+HBgnCit7TrcG2kzoPciwb60X39RU5gvCCVgEG66m7OaHz9qIyOw+9vz/hAwcR2q8/matWkr5sqSMhX0RERJNtyJx/dJ56hj8xhj1fb+enV7ewd3U6Y+Z0JbRHCAqFgvSUk2z4K5UN/6RSVV5PULQ32iBvIpIiKcsso+hwPuWltfzyyV5MRjMmo4WQSC9KiwRDSKXV0X78tbiHnn48/7jZXdn45zH++HgPPZ8eCIDZbMFosJCfXcHSX4+SvDmbdtNH4xsb0qrXpTWZeb/gqfHRCzkA3PmimGw4Al8ACrPEMrLVpcIzazKIakPHPmJ1mtZA7WvhyC+CSOmnEAVZN7WQd+iQXszPoSgWRBRroFpawbYBoUrBi6e+rooD//yKR0A4YbEDW7XfMhcOHmFRVBfmEDFkDF7RcZgNBlTHy8hO3sSx7X/QYeYNeMcI+ax2vzUXvVcAfpGdyT64hqip8ahsJZnNRhMKlZKu/WewdflHFGYnExJ15jOZp8OmjT+xa8dfBER2pl2vCWTVWVC1EwwonYfBsV15ZQGlaQdRarRcc82Zl37v2LEjHTu68A6VkbnMkMWPpnn99ddZsWKFQ/gAIa/Q3LlzGTduHPfffz/PPvvsWQupsvghIyNzxrwy9yDb1tdSoDBTGyvMHHn5CwZgvZs4a525XzTSQqqFvAHFakncv924sFrhFBfnuq5F6A+eo9KAWuHYvrVCvgA/b7F6TOWxGiKC+rJ3/5cU7d1DcK/eKFUqYseNx80/gIwVy9B6+DDj0Q/Y/ctr56a/MqfFrzd+6rziOkj8f/bOO0yKIv/D7+SdjbM55wgssEvOkgQBAyJmxXye4UzneXqGn54JT0/v9MxijihiAiTnHJeNbM455534+6N3p2eZjbAIYr/P40NPdXV1zTrVXfWpb7juMoq27ePN+zeidnNFJpPRUd+AxtWB0GnR+IwZg5O3DoBf7/svRUVFhIWFMTzRjxc+vhiD3sTx/aUc2lFEyoFSGhr13PPNPF668H37DgyA/bV+xF0+mXWf7iWrtAUHVw2l+4upLREsoBwclbS3GrF8s4FXVi1BqZIzXPeL9Xo3tSAe/OPpYday6jZhrNW3i8GFLQ2LAWiZsspadtn1opi4qUwQAucH2AuJZ4OuTC1ZtcXWsmlewoKqw1FcsCnkwu55YuAIa9nm1l0AmIyD31n3rRS/f1WH+MyaHTsOgNSCbCxmM0m7vsZiMhI+bTEy+akHTpU4t4mOmIW+tILcn74mcsmNOAcEM+GBBsYah7Pyvjbyfv6GqCU34hQgiGyuGkciR1zAoeJ0qo400tFYR0XyPtpqykEGrmHhyORyqtWlKEPOvHB+7MivHD74M9NmXIfZL7LXeh0NjdRmJgPgP2a6NYWvhISExJmioaGByspKO5eWqqoqGjvTnet0OvR6fU+XDxhJ/JCQkDhlGhs7SEurxjXMFbPJhFwxBJN+i7Do6gquGNDkAp1rFgeZmH3Cw0lQhl193OmL+nIhk0NyRZ61bIS3YCbv4qkbVNd03mGEx04h79d11Gdn4xYZiaGpiZrkJGRyBfqWBnL3/ABI4sfvBe8RsXgNj6E+p4Dq9DwsZjNRMzzwGyUEvG2o7p4+OTg4mBdffJG///3v5KTWMHleGPp2I+lHK6goaebyZ2accuDdLiIuHI2xXU9VSjYmg4nAcB2zbojHSefAnFkhnDhawQt3/cpXrx9k8W2jQffbZEzKbhRM+C+LFsd5ZafxxtInK61lyXWiZVV+izDN+Pq5emuZDOHYaBYtrW7/WKhnbOv82ymGfjdLoTRjdBb63lIvWp3UWQTBVl4h9ifQwVP4V+dJXn0FJ6NxEgTSivZ6io5tpLosm+gZV5P8/RtD3m+Jcwe5QsnwqVdxbN/n5P7wBZGXCwFLFUo54YuuJHv152St+pSJd83iio//BATj6OoFyCg7soPG4hxc/SPxmbAIs8lAVc4xLGYzLeX2v7GhRCaTUV+ZT9KOL/GNm0hbQChmL3GM+QQIwl5duQsmvZ7kD75CrjczafIVJIy56Iz2TULij4LZIhvyAKXnU8DTyy67jFtvvZV///vfjB8/HplMxoEDB3j44YdZvHgxAAcOHCAmpmdX5YEiiR8SEhKnjKurhpkzQ9i+swBTextyJ3GhaDHLkMn7diM52zTV1ENn5opYpeiiEBAmuM90tIoLJJd2QYxZOO9O0oOHczxpAwUb1iNXqvEIGYbPjKk0H8+h8PCvpKSkEB8f/9t9EYlTZvvjgxeqHnnkEaKionj55X/x7nO7USgULFy4kJWf/YNJk04vJefPd74lHPy5j0oT4avvxrLu6yR2bCnnw58vtWaOKW41clmISx8X/04wWQjw7rB+rC4WjqtUorAUZhBEltzIZGuZo4swZvfv8bSWLYydBogWIIMlXCdYro3U2ZvuV2YdojLrEMGJ83D1DT+l9iV+P3QFZk24Vk/25q/J+vYj2mtm4zdhPJddUYTxkmn88MJu9v1vI/FLJxB9kYXvb32fRYuOsHbtWrwiEgidsMDanptfJClr3qYuMxOLuQ//qkEw/dm/AzBuUom1rLnejdSdX+HiHUzgqJl9Xl+ycweGlhZuvPEldLpz17VOQkLi/OLdd9/lwQcf5JprrsFoFKzJlUolN910E6+99hoAcXFxfPDBB6d1H0n8kJCQOGXuWnGcbdsKiVk8C89QGdCCykF4YLW3qK2+iLJqMZhalUnYYTJ7iG4x2hBBgGivFtuWdQZQLPMUA57aBhesKKoDYK6buNhUaXoPEDnSN7yb9cepIpPJGD58BsOHz2BPZbo1E4HFQ4l6uo6SlK18++23kvhxnrNkyRKWLFmC0WhELpcjl5/5YIW2xC6eit+YKPa+spIN32Ww4BrRTPTHwib0JnHMRXsEARBoEMWE4/mZwoG36FK2ZE6r9fjtPcL0oN0kjj8npfBbT8oUxZX6SuH4qgvFnWvbP0WLURjbqwvFdopbhHgatU0KnhjX3bLmTDLHcRpJHWkAqJ3F6U+Yn/D3qaoVH0A+XsLfpVv8IEt3MTcr/QDFSZt56KGH+Pe//32mui1xDqJQa4iedwOlR7dSuGkTFpMJLgxCqVZwxVPTMb3mTsq3B6jNrcRwo4HRo0ezdt06GivysFgs1veG2tkNhUqDqb0dN4d9Q9rH1vp2qvPqqc6tI3l3JhovV6Y8MgeVVjAfd7CJ7zEjSnhe7Egr5OBLB4hfMlwSPiQkhhgp5kffODs78/777/Paa6+Rm5uLxWIhMjISZ2dxnpCQkHDa95HEDwkJiUGRVXQvtbVt/PJjFhteP0TYOH+Cpow+293qlbJGwe0lv0U0y8+tEwMbLhwhBEK1DYLatQPn5ivmEh/mLrjZmI3ionKaUhQ4dlWmIvdRMmzYFN5+9xPM2okAPPuoTRpSifMOpfLsvUbdQnxxC/El/WhFN/Hj98Rzh4TMMW1lgqWGrFUcXy1GUexsOCq49lgCxL+3t7ewOMtXivWs1maeZzbuRmb6flZ/9RIxwyfy8ssvn9F7SZw7jL3jSeuxXKEgaNxc5C4WSnbupL78EnR+zsjkMkZcMR73cG/2v7WJmLnxIJehdnJD31xPU0UBrn5hgCCma1w8aK0to7m6lUXLBEu000l521ZTR9aPv7IrXwgYrNQocAoIZNhVi1D1E8LHQeeAe7g7ebsKGPHqD3x17bmZLltCQuL8xdnZmVGjRp2x9iXxQ0JCYlBYLBbuvn0dyUkVuIS4k/inychULdbzUcFCSr9Nh8VozWhFZTp0mrBD3NrsYC3rSivp4CUKEOGzSwGoLtFZy1oahGtas08vBegZo9JIXPwUUo5tpaaqBE9vKfOLxJnBO7gOi8VCW3UdsbHBuHfmrJ3qK2QfyfX0sdbdUZkCQLhczLhy1f1ZALz5RoC17CMvMYVtaKhgqdFosLG2qhdi7rj7iVYczu7CeN+SLogTs4eJ1iXnIlH+nSmpq2yyvbgKLm0hriHWMpPBiB0yGRazmV1bv2H7ps+JHT6ZxVc9/Jtb/UicA2jEd5rv8JnUpKTz2eO7mXjXbBy9XJgZp4e4AIztMzj0/nZ8RgSgb23E0cOfrO1f4xs7kYCR05ErlLj5R9BaW0bej624X3D6XevI3IqxsYr5j0zGL84LN39nPLVKNu9yprEaXG3G+ckoVApm/n06vzy0jt3/3cdSwx1AD8GiT5Mb/vSW9fjz9+4e0rYlJM5VJMuP/tm8eTObN2+msrIS80mugB9++OGQ3EMSPyQkJAZFTXUbRw6V8cp/53IsWIiT0drQz0VDjGOUgdZ8QQDZWH7YWr4w1D7eggVhJ3isV5S1rCv7hS0KpbhTLJMLj8bGijprmZtfpxWIjWuN2lEUcKgS/omMHoNSpWH/7h+YeeGNPLl8LSBZgEgMPfWFDehb9MSO/I2yIQ2ALekaYkJE9xltZ+DSLnEG4GCeMIZGBotm91Vxgim+d5oYyEwlz7cee08VFmxxsbXWsnXvCULLON8Ea9nhckHUGeMrChlDRVNjLWtXv0FWxgFmzL2e6bOuQSYJH394FGoNERcupXDHSjY9tYrEG6dBnPD7C50WTVttM6mrhPdUa20ZCrUjlScO0FCaReiEhTRW5KF21lBZcgJ9RytqjeOA763X67n33nvx9vbmvvvuw2g0UpRUTuSUYIbNjehWd860cgpaRFFP3yEuAdzVwvEEHxX4uNNwaTTbv8/s5qIz1FRX5rP+x5fZk7IBj1DBcu3QVy+ckXtJSEic+zzzzDP885//ZNy4cfj7+5+xZ48kfkhISAyIwzlCBMY/37YGALW6b7NymbccS9XQBHD7XdAV+8MkY8y4BRzY+wNpSdt56ImvhiYLjoSEDX8e5sg936agdFAyerx//xf0wj1/Ke1m/XE+Ul5UZj0+0i7E/VkYPaXPaxQqcXpksVhIObaV9T+/i0Kh5KplTxEzbKIkaP4BOfz+s3ZlC/53H8Q7EzLlWlK+2c7B97YSnbiASQk+XBBjwHJJAm4hnlQcyyJnax5mUwcWiwV9axMnNn2GXKXggkens/35XRRnHyRixMDMP8xmM5MvHUbS5nxUajnLX3oRs8mCTC4jelrwaX3PmrJmkEH1iXK848Tny0Wv3w+Ag5No4WVoF8dKWYbgvhbRImRhK847Sl7mPg7v30xQUFC3exzc/Q0ARUc30VJbRuCoITB7kZA4hzGbZZiH2FJjqNs7m7zzzjt8/PHH3HjjjWf0PpL4ISEhMSDMZgu//pTF8WOVqBwUFEZ4EqoSrCpMbm3Wenv2ihMlmbewKxoWLy4+TCahTOcjms6bjULZjDHiru6JOqHt+OE11rJ9u8XJU/AUIThhUJK4iKkrFcpO1BRZy8bGCHE5bBVkH7Wf3fezTU9aUyLEB9FoHezqNdWIViMunoKLgeWkQIgzL1yGt28oa374L3p9Gw7a3y6oo8QfB31KKcNHeBHuLjrye2kFq4qdOUnWsk//LfxmP8rOt5ap5YILy9f7tfhPEiycfL3EBU1dizAenLTib1vhLFhqtNksdpQqIXipt40rTGW7ONa6LD7qOkQhtMtNJLVEtKJqbRLcZuJv3G8t259tP24yM3XW47hrBNe4CyLEeD6HnhfcfRwdhL9Ja7v4bDoVmptqWbP6DbLSDzBi9EzmX3Injk6u/V8o8YdD5ahh9LK51OeXc+jrNHwiPbgzxo0L/YGZUWQ2BpN6uJzvPz7Okd0lmI16HNwdaa9r5dCKY5jNRhqaa6lpaxzQ/b755huOrM/lhmemM+OCEPb+moubp5aOUHcc3R1wtcmMFO1q7yqa2SaO0w1FgsvpJD9hbF/76GTee2wbu/61liUPT+x2XV1eGWlfb8TRy4WQqbE4+/uhcXNGoRJFfqNRT9L+1eRnCkFcP//8cx599FHr+QyXbGqrCwkKHU2TsZXKEwdw9Q0d0PeWkPi9Irm99I1er2fKlL43JoYCSfyQkPgd0eVCAb+NG8WhbMHaY+2Pmbz7n0OUFjcROyOEWXeO7SYW/NGRyWTMChSCvqq1GixmMwX5SSgUSuRyyepD4szQ1NBBW6uh/4p/YBwdtOwvTBML3Ac+USwpzODbz5/HYjFz5Q1PEDtismTtIdEncoWc8NkJpK/aRUttG+DW7fyIsX6MGOvH1+kdbH5mI03lzSQsm0pjcR1u7qPxChk54HsdP34cd39nEuaG46xVcuFVwwA4XHP6cXf2/ZKNQinDbLLw3Uv7mNo+k5Ap4ZQfqyT5s/W4hXhiaNNz6N1N1muUDipkSi1mo4EkgwFzZ8YpFzcf7r67e1yPtmphoyLsuhhcA71Ye28WDoGVSEhI/HG5/fbb+fLLL3nyySf7r3waSOKHhIREv/y86gRyhYx3vrmMxDFi+ru8ZmFy89Vhm7S1LsLEyydUtOJQ2GRjUCLsFBv1oijgrBNiBHg5iGVOPsKOc0WbSSxza7cet7cIO8V79dnWssA2YUd2uG+YtawrcGFBWYm1LDo83Hp85ISwMBo3Qpx0GszCPT097Hd4XTzdull/nIzFYmHTug9JSdrO5dc8glrTT3h9CYlTQCkHTy8tbu7uGGyCgjV0CL/dT18V4268ni78Xh8crrMpqwdgwnDb7CqiMFDfmTWluUWcJjg7CXWdtOKYbDcI1xh62X3KbRbEmXab8Z4YLLRztEhsu2ts25ZVFbpbj7ssxQLCxDg8qfuEneKXt6mtZXKLHmSwuyCZqaEDX0iezPEjW1iz+nX8AyJZesPjOLt49H+RxB+Sdfe+3u1z7bW1+HzvRdvhEj73EeN3zPUX3wV3jday+PVZXLdoFXnbMhl53Qxay+MAGKicmZeXh9bbkaxGIwoby8YIF+F9bGP4gUNn7J2R7uJYOZItjrXAIGF87Ss3UplRxfo3DuEaFo5P4hh8oi14xfpQlVFB0kfrQAYx471pa+zAydFCbX49rU16jO0GwIBrsB80QXtbIxaLhZnz/oyra/d3qdZLCL6cv7cKR+cCob9aNRIS5zOS5UfftLe3895777Fp0yZGjRqFStXdYu3VV18dkvtI4oeEhESftLYYKMxtIHFSAMNH+/R/wR+ALncXW7SuTgDU11Wwf9dqgsNGoFKqKSnMwNFZR2trK46OAw9kJyHRFw317SQfq+CvT0w9210597CAk8qBYyVC8NMLx4pmtNuOHuj38pRj2/jp238zeuyFLFh8Dy8+cdkZ66rE+YeHhwfxkwNZ/2Uq14wNwNXHqcd6/kEuTHrgEpK/2M6ul1YRfsES3MOGDfg+CoUCs8nSf8VBkvZDGm4hbsRccy0ymYyIBGHj4MC7u4UKFkjZkIOLjxNKjYKgOE9UGgUmg5mc1Hoai8qRyeR4eoeSMP5SXHW+dvdw8ZHj6ONJ8bZt1rIRCZI1qYTEH5njx4+TkJAAQEpKSrdzQxn8VBI/JCR+p9i6wHRxJkyyv/zoOA317dz6l7GDuq6p1gkXj5b+K/aDr1bRzfrjVAn1D+xm/XGmcNP5MGPO9ezc+hUrPxOD47358m0sWnIfo8fMxYIFhUIpmdBLnDJ7txRiNlmYOS/stNqpaDfh63D6rlkWswyZ/PQXYg3Vzrj1kYpzoLQY2nFS2cfs6Y/crKP89N1rjBozh4uvuP+MRZuXOL+5/uFJvHTXr3z54Eau+tccPAJdeqznHu5L7GUTOfjmWhTqwf1e4+Li+P6XVUPR3W50NLTjGenZ7bff3thOeZIQY2fMrVOJmBVHhL9g5envKD4/ftrhgb6xmcCSOFT9fB+3sABaK2sIHOHN0hdno3EUd3lvXL0MgGuiBWsQi8XCyp9yyD5cRpsuGM+YALTuQkygn+98y75xCYlzEItFjtkytCKfZYjbO5ts3br1N7mPJH5ISEj0yo6KNn74KYuRs8NodtOS1WSk0kaIaOvcddK6iGb3XQsgtcZoV9YbakfB0LfZKLajlgsTr+IW8X4eAaK7SVONYEUhs7GmLTEK50tLRZcbrUWYPLk7iMETm+vE4IxdNFbVW4+rO3P3+jH4LBpmo4mpF1zF5GlX0GFopaW5npbmen7+7jXSk3exfeNn6PXthEclcPTgeqJix+Pi2t2kXhJFJPqivb2d9988wuTpwQT6OdNqEMdNu0k4rmkXx1/WcSHA7zG/emtZl+ChsFnbBzmJi5g6vRDcVHQ0g06PGjQ9aCW2bmxGg3hs0gpju7ZUHKgqb0HcsE21OWyYENi4qlG81tfGde7ry4Xr5Y3id/2HuhiATd+LbmwohS8UqPW0FjVVi8+NBP9I+853UlaSxXefP09EVAKLltzHc48t6rWuhERf7G/QMeGRS0h+fS3fPryR935cSqPNON1dKQgH0+PlvPfeEdx8HHGKCsOiHLgQOWHCBNobO9BmV2MaIwbxduiMx+WkFAe3l0YoO1Ynppf2CxSDAdfUCW6kTq7tKNRyTB164qflsmLhl0x75lHKDx2z1u2oqsTDM4TnL/iUgwcPctNLT9FcVkVNejb6phaiRs5GlxjNL+91j/NhS9NhNTrXcZSRTElqFdM6lrL0kqXd6tTk1LDuaAN5mTVkpVSTlVqNu58TdeWZQl993fBPjOSHSbexKld0FirKEC1Ntj32cv9/SAkJiT8UkvghISHRK/+7+1cq8hq49J5xZ7srvzvkCgXODu44uwhxC7SOruRmHSEwOI6ouPHkZB5i7er/ARAelcCoMXOIHT6p390yCYnU1FSKCxt55qWZZ7sr5w0Ws5kfvnkFL59gllz3GAqFND2SGBzdrDEDwNHDieUfLOS2RStZ+WES197b83s0apw/eUkVpKx4laALFhAwMY4pT/0DgI4q8Xd4+O1/drtu3rx5RI724dv/HuS+FYtQKE9vB9jQqmfHB3spS6pgzI2jup2rTs3ALTyUkQu92fXmISwmC6EP+1OaVo1MLsdiE3fI3Bkz66Y/v2Mt++SdP9vdz9HdD7+4yZRn7OXRzz/nlWNH2ffc8wA0lTex7m9rkctlBEW44R/pwQv3jGHa7FAyS5tJO1TO0T3FbP3hCEmLvcGnZ5fcmS/+TRJAJM4ZLJahj9FhGXrPt9+Uhx56iGeffRYnJyceeuihPutKMT8kJP7g/BbWAVWV7YRNj6LBP5Q6vbCTvDdDjFsRHS5YUHjrxIlPXWfqS9sHvK3lh1ItnJc7i2WqTiuPFDGWIVEuwg5Ym41Pc1daTQAXTyGgY0O1aNHR0tEpHKjEe7c2CTtChtZ6a1lJjXgs67Q2qS0Q0wuO8A4T7t3YSk1NCanHt9LW3oCrzofRY+bi6R1Ib8jkPU9A/QIj8fELZdGS+1CpNEyffQ1trU1kpO7h+JHN/PDNy6jVWuITZ2E0GlAqVZIFiESPhIeH4+KiZseveSycFUZVm7jrqe405Xj0S9Hy4cmrhMwKe6vEeq5qoV60i2hq/kuxGCQ11k0oL2gWx1zXUGwVjUpQKITxY7L53duO/a5gx7bPAENnk7OHiVkpQp2Esft1vdh4eJDYn8cOtvLK3M9pN//VWpaR23kPF7HtiUohZkJunZhe23Zh1tQutKlD/PsAJB3ZRE1VMTfd+TJqSYCUOE2GlV7Os48uZPqzf8d7wnhWfnQI11kRuHgJ788uKxB3tZyZN4wkbkoQ7z+8lYINq/Ee9QAqbf+BsmUyGfE3J/DTXzfy+u1rufGZGfiGuTG6M6ipm1qc4p9oEGy4vGzMtrw04tjOL1Ox88Xv0Te18umnn3LDDTdY3V7uvLCUm/5ZyG2PTuIvt49mpa+W55/aiaO7A0temEVmqobMn3bg6OOOk0cc2tA4PLU9u/l0Ma0zq83eaAg2TUeu7L4cWf3n77n1wK189tknOOoccPd1JCpWsJB089AyeV44ky4MI3lfKcf3l+J4Sc/ih0lv4H9fXUZKbQcKlYLAGA9W/RIBwOFXnun3bywhIXFmOXr0KAaDwXrcG1LMDwkJid8EXagHLdWn73//e2XPzm/Zu2slLm5aQqN0HD+yjz3bVjJr/k1MnXnVoNq6dOmDdmVaRxcSx88ncfx86mrLSD6yld3bV2LQd3Dplfb1JSRACKj48N8m8szTu7jhxnh8I3Vnu0u/CU01D1mF0qGivq6STWs/ICNlN6PGzuWjt/8qxfmQGFKCpk2k/FASez45zvy/Tuqxjl+EOxc8vpB1D66k7kQWPgmj7OqMveUJAKIUoluHzxWeXPLyXLa+sIsd36Zx5d8mn1IfW6sbaa1qYPw9l3DjjTd2O1eYVYvFbCG2M+D5VTeMINtJg7HDxMb/HqCxogVdZCAjb1hIS+HggqLLZDJkSvuliEwm491338UnKJMjh8rY93M2uQfL+GTV5YQ4ifWjYj0oyannwXBRxG0MqsZoMLHrxyx+/TCJv1SL7j06Xye0UePxGjWWsQ//nySASPymSNle7LGN8yHF/JCQkDirmM1marOraKtv5cTaFDIrKrn+6ekDvt7PzUR5g73/sp9W2CGu04u7sQazsHOrsQlA0HU+QCu24aoSr6lsF3aNAyKrrWXNHsJuWdkJm11dd+ExZ2gTr8Uo7hRbnIX2bbJ8kupeQG16Otm7vmfZvWO58rZRqNUK9B1GvnznGF+99wk6N39GJIp/D0un7aFccWqmx+4e/syYex0ubp6s+f51RoyewdLrd9Pa2khYxCg8vAJ7XZRJFiJ/PG65ZRRffJ7KQw9tYsU3i3FwOLXXeVaTwWr9EWqzqGgxCL9nd7X4ezZ1/sYVMnH8dKXY1CvEXeRWtXis6rT40PmIImqQk31fY1yFmANeNums80vF3e+PFgk7yb8U1lvLqoqERaDJKPaxtEl4HgS4iM+AXS0Z1uOF4eLisKO9lS9WPI7R0MFlV/2V+NEzJeFDYshROmgImTmFlHWbGbkgkoDh3j3Wc/JyIWhCOIVbtqJvasLRxwdH9zjhN9lu7vGahlWT+fGDvzB8VTA1ZS20Gy2sLhQCjSd4iKljrePULI7dynZxnGocOy2i/O1///t2FaNUyXEMdCW9QYgZMnKcP6WZtTRXt5J4USRH1mV3u6angOy2qByEvs126FkMmnmt4OLz5oujWXbbaNJSqrh28SounPgpzU1i3JJxUwMpzK3vdm1+WjXvPb6dmtIm5l4SxRXL4jnRZqG1oZ3D63I4vH4XFft34zlqDBs2TGXkyJH4+fmd8bHf0NCAQqHA2dm5/8oSEhJnDEn8kJD4HfFbLnJlMhlew0Ip3JVG0hdCeshRi2IItZm4dZnQ5reIpuoRQogLWoyCAALdhQ44/cwSvwWVh/aTMDGQ6+9KtJapNUpuum8sxw+Wc/jAz93Ej4GibxNEm9YGcTHo7GGTOtciTMC+/vj/AKz+1K5u3kREJxIenYh/QCRmswmj0YDJZOShJ+pxctYBkhDyR6HVbGH5a3O4dsn3vP7Mbla8fREymYz2TjeuZYvKrXUDHAU3jhm+4uT+81xhgTTaQ0Vus40fyx+EgtxkPv/gH8jlcm6+81U+ePMvZ7tLEr9zenr27nzyJQBMJhNuwSGsfuYwI26+ncA4IQivKkR0t1war2TOcxN58/HtFCYdoKiunRl3j2P0ZbHs/iqsz3u7+TiRf7zilPuubxbeS0oHVbfy7Oxsfv00mdlXD0elVmA2Wzi2u5gfvkwjcX4Es28ZzeYVx5h78f34B8YB8Nm7d/V4j54EEaNBT15uEoaONoxGA6NnfIWjqzdqZw9kMhn3PObHtq+eIsCtjuEJO0k+3P07mtpNVJa14G8w4evrRFVlK3/+2xbcvR154N9zrK4yLvUGXIJcWTjCh4V3j2H3dxnsWHmU+fPnA6DReaCLiSXSdxJOrl7W9jd8/o9T/It2Jzs7m+joaAD+9a9/cf/996NWq/u5SuJ8w2yWYR5iS42hbu+3pr84H7ZIMT8kJCTOKDKZjJHXzcQzJpCjH25ErpTj7PHb+8JXd5i6+Sn3R3BkHe5+YjaXhmonAIwG8XHX3iJOOhychF0kjVbcTSpI8aWppJRpN9ubEMtkMqbODeWj/xyxKx8KfHzDGD3mQkIiRhAWmYDW0YXCvBRys46Ql32MY4c22F2jVGmYNP1ypsxY2kOLEucrw+O9ee6lWfztgU1ERuh4/JFTM3n/rZgVLIzBeJ1g5aG2sfRyVgtjfNevUeIFNvF+rmrsCgjkZC3TOgsLNh+brDD5h4Vr8ttrrGUOzaJliLkzG052xmG0WmduuG057h6Dz+okITEYFAoF4QsvIe2TFeT89D3+UTOR95DZxd3bkedXCCLKB//ax5r3jhCc6GdXz+46f2f2/XCCFy7/FicPLW1NHSROCOCup6dRVtDAkR1FOLlqGL8wskfrxOoTFSg0Wsoz4rqV7927F6PeTJHsAt7+zBN1xy/sf09499V3hBAwaRG+AW3s3vIxFy99HIfOWB89CUG52UcpLTqBXt+Bg4Mjv/70HnMX3MKOzV/Y1VU7uOAdMoLIREGcWLt2LcmHK5ArZDzxzxlMmRGMyWRGq1aw+KKVXHrh19zz4Hg2rM3BYrZw/6tz0Hk52rUL4OTmwLzbEtDNHEdLVRMNRbVkbqmh+vhRKtr34u4bQVDUeLyDh/X7dx8o5eWiGP3II4/w+uuv88knnzB79uwhu4fEuY/k9mJPX3E+bJFifkhISPwmlKZ7UVNQBMDsOxJwD3Zlmo8ogGwtF0zUWzvEyZTWSXhAmSzig8rJJgq9szX9nljW0umGYuvi0hU/sabdbLUc6WaCL6yf8PQTRYs6D9vEnKeHXKmgqbGjx3PNTXqUqlPbtVFrhY7bBmG0PfbxDWPRkvu6TVCjYscRFStkCmhsqKa2ugSFQoVCoUSuUJB2fCd7d6zi2MH1pB7fweixc5HLFZIVyHlMbMibwr/3w8c7x/HMC3tYmdbGD/+djEwmI8Fd/H3e8n/C7ud3L4q7zPMCBKss23SYLTbuYF1pp9ttBIiu9NNtPZSZbELO26andu0MPuzvfe5MNzo6WjmRvoeg0GH4BISe7e5I/EFYHHUpI28I4JvPnmXPfxwInXMZRSlijIycyHoAImMF1y2nGWGYP09l3zp3ZvmJ6ZxVcnvRxMtwMzNmj6axoZLixmLUbgq2/XSY3ZvLMLQ0I1cpMRuNfPRGBhp3L1yCwwmZMRoAY3s7uds24ewfYrfAuOyyy5CrNRRs/AGv+HH4BJtQO6kwGuQoHRyRyeUMH3UhW9b9j+qqfII6A5n2xKY1K6gsz0Pr6EpbayMvvhhO0uGNyBVKXFw9aWluwGIxYzLq0bc3UZK5j6mT5gFw3XXX8dL6z8lYvZ3vVqYz69Iofvk2g/kLI/h+49W8+59DvPjMLhQKOZ99s5ixwwXrDX2n2Gm7gXKsrtNl1q+DMrkrzr6u6NVTMM9dgGF/NiXZh0je/Q0KpRrftM/wiY9Erh+OUiOIKYc/f34A/7e7M23aNBobG/n888+5++67KS4uZs6cOXz99ddcffXVg25PQuJ8obc4H12u5GfCHe3cmY1ISEicU+j1eoq2raU6+RCeI8Yw4Yqh2wU5GyhVRqv1R1BMpbW8rUkQIwwd4uPQSdeBR2w061ZlsWTZSBy04rm2FgPrV2cREDyKjhZRbOl6UJuN4sLPUTf0vr2ubl64unl1K/MLiGTMxIVsXf8Ja75/nfTkXVxx3WNDfm+Jc5O4SxORKeSkrDzIf4LlPPi3nv3ofw+8fZeYpWV7pTi+Nh8U/Ok8AhqsZbLO2CM5R4OsZe4RgjtZbamrtazdJLr1HEw/TtaxDTQ31nL1sqeGuPcSEn0TGTuOy676K6u/egmttx8+Y3u31qrOEaydHH37t0xSqRyIihXakjfnAaAN9qKtugpdZDR+Cb40l1ZSsC0NfWM9xdvWodToaSmroOp4CgBecYl27bq6uhI4dS4Vh3dTfmA7strJ6FuScHJ2p+1EOqOGL2JnRzoAuU2FNOo9eu3jpOmX89O3r9LWKoiwXl5eXHDhjVSW52I0GHB2dcdigabGGjLT9tHcVMveHauAZ5DJZPiPiaW1so6ifcf44L+H+OKDJN597SD3/HU8//fcDK67MZ6mJj1jxw/cksvfR3jGaKcKf7Omke5EcSHN5fUU7C6mMiWXlC83gGwjzj7BBCaeuqWGi4sLpQ2h3PO3D/j+y+WUlWRzzTXX8MnXu1i7+o1Tblfi94Nk+dE/K1as4LXXXiMrKwuA6OhoHnjgAW6//fYhu4ckfkhISPTIv//9b6pTjxA8axFe8WORyXMHdb2zUk6z0YyzUo7BxrKhK/yH1sbkPbgzAKJtMLYufLSiBYTCRgF26DQZbjGIbUe4CLvddS5iWZmrMNGqqB/c4y5w+mSSP/iMR29fx833jSUyzpOstGo+/s9hmuoMTLngwj6v70/40Dj1n8pwMOjcfbj8mr+RMO5CvvviBT597xE6OlpxdfOSLED+AMQuGo1MJuPtNw4QEurGrEuj+r3mQHUH/o62qS/F465hNdZDYy1z7LTgMtqM0y6Lj+oOUfSb4Cle0xUPyHZov3JUCK5YXaKzll0xWRino3Rn1g/eYjFTVZRGcFgCb/37T2f0XhISPTFi1Ax2p22jdO8W1G46dFHdNxb2vxfCxD8VcnyVAbWTjuNvvdRvmyveGtjC4IGHv8JisfD9dy+Qv34zzq5eRA+bRlb6Li6edDlePiF214wNnU2B3pmju1ciUwjPiEWXPsDGX9/lq8+fIObS2/CMHk3h7jU4evTuojNqzByCw4ZTmJdCaMQo7r77Fsoa1wLdBYVnH11Ie3s7H374IZWV4kbF+gf+Q9q8NEaMHMkXHyThnTCBuLB6Xnp6Nz+vyuRvT05l2EivboHTnVVCDBPbuUPXaXe18Gw6Vitaj1qv89MRPtef8Lnj6WhoIW9tCVXZR8nc8CnBs0rxHjMRmUw26GwxzU11fPXhU7S2NlotYNb98D8aGp7Dzc2t/wYkJM5jnnzySV577TX+8pe/MHmyIObu3buXBx98kPz8fJ577rkhuY8kfkhISNih1+t54403CIwYQ6z/ZKiBdZ8I5uHV1+RZ62WnCNkWlDbZHeK96gEwmwUB5PeCSmMkwE9IidcVM0TnNZ+jH+7i77eKgdocPb0JX3Q9JR4WSqqPWcsXhp4bu+3hUQncdOe/+Prjp/no7b9Ku9t/AL5b9r5wsAwC80fy+KPbic8Ixcm/cyHS6Zqy/AVxZ9dx8ZbfupunhbufII6U54lZXFobBBc8R5sMMV3xfNSOBmuZrkoQIi0WMxl7V9HSWE3otGvOeJ8lJGyxFaGNBj2rDf/ixNpviR0+mfmX/hlLnvC+rCaV/e+FoG85iINz75YUp4pMJmPRxfdTUJKJt284Mpmcpdc9jEKp6vUaB0dXwIKxQ3hHurh6Mn7ipWxY9w7OZaUYq4WYFqU7fqKpqQkXFxe7NnoS4XsT5h0cHLj77rvtyocPH07Mlbcgk8nQ+vhz4w1FTLk4ik9e2MMtV/0AgJeXlsVLYrn51lFEhOr6+WsIWXHKWgUhpNG51Vru7yi6vernemM0zOG/D+dQvG0D7XW1BM++qN+2T8ZisVBbU4qPXziV5eJcKjMzk/Hjxw+6PYnfF2aLDLNliAOeDnF7Z5O3336b999/n2uvvdZadumllzJq1Cj+8pe/SOKHhITEmaOuro7y8nKix4w5211BIZNZ4xJ0xRcAcOjcvjE7iLvVXbEIbFN2dgkwvg6iNUiDwWYbunPhZBvvoAuvGF/mvriE2pwqio6rULu6onEIGrAPYpcLjMkk3lul6X2COVT4+IVxy93/5uuPn+aDN+5jwy/vExkzBgcHJ9w9A4iITpSsQc5TYi6bRVNxJSe+W83oO29DcYYzCihkMrKaDPjbxOvxsMkY4agSyjuM4hh4eoJg9dRhEgUKk0UQMv6XIbq1pHwUaT0OWVJy2n2trcijMO8oU2fdwuY1r592exISp4pSpWbpDY+TkbqH9T+9zTuv/ZlZs28hJlZ0gzGbTcgVQztN/88r1/Zf6STiY+OozNuHo5MrM8bP4svjm1FqlIRGjkSt0bJv1yoAPDwDqK0pJTk5mSlTpgxpv2058fUH3T4/tu4n7v3Ag/ykChqqWqG0kW++TufDD5KYcWEYVy0bSZ6Pi/W9rerck4l2FZ5TJvtXf48oVQqCZs7DwdObwo2/oHHTMfbPT3H4nX/2ek1zczP33HMPS5YsYcqUKXz0mWApYnBzhnJw8PDGwcObhIQEAPLz83nnnXd44oknpJS4En84TCYT48aNsysfO3YsRuPQZaWTxA8JCQk7fH19ufrqq1m9bg0+l8QgVyohTzBlz8sQU92OTawCYOf2YGtZdqNQ5mljQm/rztIlWtiWdR3bWKtahQ75WRK1J/uqWLG7y3c4gIQlQiwC/SadtY7LJcfFC7LODcuPLlxcPbn5rlfISNlN0uFN7N3+HR36NixmM1NnXgWS+HFe4pQRzNjxN7Hth5ep2JWJZ9Qo67kk9xzr8YPewng+UmMTMLhDFCgWBwvB/YpaxQnHviphJ3SsjVvL2UCtEfrkO6oUgMxdYsyPzjAgKFzE58uo8FgA1h7fgLuHPzs3r/iNeioh0TNd4vOTy2WER45m3Y9vs37d25jMRuZOFs5VH12D1vHccIXIyjiAj184rc2COGk0GvD2CeG2u9/gyIE17N+9msCQYdTWlKJU/nZLi0ef/oEDe34gtnY67/9HcGPbnP4nlt07ls0/Z7P6sxTuvv4n/OM8WfLsLJzc7TPWKWQww1co19oEGm+z2bTYVCZskoyYngvT3dhaH0hNajK6oGHdBJAJix+mKHUHmjBHtJ4eNBYWU7r3IN/89DMKjYaO2jrcw4bTVlWBo28g0VfcglwuR9XpnvPuu+/y0ksvkZ6ezurVq5HLfz/WsxL9I8X86JsbbriBt99+2y6l7Xvvvcf1118/ZPeRxA8JCYkeuf/++/n666+pzczDa3j02e5Ov8hlYhwR2/gCXWKLykGcRHjaHHfFNvDUiGX1enHSczrkFhQAEBUZMSTtGdrFharKof8dfZVKw8jE2YzsDNJmsVjYvvFzdm9bSX19PTqdbkj6JXFu4eTqjbNvCLW5Kd3Ej7OJbTaYZoNgEfWGjZXHM4lCEN+yQp217MK7C6zHGaXC4qBL+Bgs+o42MtP3MmnaFWckeryExKnioHVm8VV/BbOMTevfp6amEJXagZrqEtx0BhZefi9qtRYHBydCIwRrC1t+Cyu+6Ljx7Nn+Hfk5SajUDji5uPLiU5cCcN+jCrJOHCD52BYSxs1j7NixZ7w/XSQd2cTWjZ+QdGQjb3eKH3OGvQfAxWPh5mV3sWdnEY89sInaH9J45F+z6XoUaTqtQtcXNw36vjHzotm2fBepX76Bs38oH00MZ+nSpdQUp1OefRCyu9c3tLRgNhoxGTqoy0/DTefDFVc8TEBwTLd68+fPZ/ny5fz000+Ez51ByKyp7Hyy/5gvEhLnCytWrGDDhg1MmiRsKO7bt4+ioiKWLVvGQw89ZK13skAyGCTxQ0JCokdWrBB2RzU6135q9kx5mygguKjExUaXlYebShQbukQLlY2ZR1dWW1sdoicLkjNpGXLbkmK+3ChYukyNFBZdn/9QbT0/TD5Ae9lzBJlMRsL4eeza+jXbtm1j8eLFZ7tLEmcIXUgsxQc3om9tQu1o739/9Edh4bI5bb+17NK7i63Huc32IsOySKGdohbRXaW5010syk3cUb3tG5ux7SLsmD4245S+Rr/kHgtk3CJxpXFok7CYMOeLQuEBWQqN1UUYDB20qFx4crkQw0dy/ZI4V5DJ5cyeeytqtZbcnMMo5ApMJiMlRRmUFmdisQgvQq2jKxOnXUbciKl4+QT30+rQMfuiW4iLn4bR0IF/UDQqlWj95abz4dZ7XqO1uQEPrwAUCvtUvGcCi8XC7u3fAEIg0Z6Qy2VMuyCEBx6cwD+f3slNN48iblj3bGnzg1xIrRVimTQaxOdegKO4RBquE8TXIKfOCcmlodSUTqA+L4OGtGRuvfU27rjzbmImXY6zRyDNtSXIVSr8xiWg1vnTXFJETepx5CoVUUuu46qEq3rs75QpU/D19aWiooLCbbvReg19zBeJs4dk+dE3KSkpjOl0t8/JESxVvb298fb2JiUlxVrvdDcwJPFDQkKiRy688EK+Wvkp6R9/yc1/n8zBlmkAVJ8QxZAxM4UdE4fZ4qLpcLqQktI7pP6362wfdAkrDjbmrGHO4qOvok3YhXa1EWO+OixcU1d+asIPwEHH9VTJheuDWwKs5UdzhbSAY2PirWUDjQMyEGuP/tC5++Lu4c+mTZsk8eM85JdP/gZA5LxDADRV5JEYMROAtgIxgB/9J4M54/wlzo3/pguBTJv1wjhcPl88f7xOHBd5DYKYUbPH0VpWF2Ev6vSGWivUNdfl09bWhFY78GslJM4U9gLcDTy5fC0Fucl89sFjzJy3jKkzr8Jo1NNYX82BPT+yc/NXbNvwGRdfcT/hUQnU1dXh4uLCw099zYdvPYiLiwdhkaMJixpNcMgwVGp7V4/e7z/4OmdTRGxqFDYj/AJ6fqCNDHtLqHflHbz++iG+/C6DJx6fCkBti/A89Hc6NTe++IVlgBvp782lsjCV4ozd1Jdl0VhdROylN1GblUzF4eOY9AdRap3wHzkdr5hEkr4Wdqy7RFhb1Go17733HpdddhlY4MS3P/PEE09gMpl46KGH8Pb2trtG4veD2SzDPMRixVC3dzbZunXrb3IfSfyQkJDokauuuooGn5/4/NUDvPN/O/EdZiBw1Mwzek9DtxSawr+VbaYe69a0Czswtqk6u+KE2JrYK4bIxH3nCUF4GH6jKPS0NYmTpvSA1QA01zsyEA5npjA2Jh6LeWhcbHqjK+gqgLwzPXB4VAIbNmw4o/eVOLu4hUTjHhlP0Z5fifEeiZOLZ/8X9UNzp49YjI2VR9fouuINUSg0VotjbsaVwuJEIROD91kQxufr6YM3N++JY9vFwKijZ2cBkPyxmLKzWdEOjg4EjZ5N8tEtlBRmcOcDbw3JvSUkzgQb17wPFgvHDq7HaNQz88Ib8fQOZMFldzNr3jJWfvYsv6z6LwBvdHpFyOUK1Bot7p7+JB3eyJ7t36JQKAmPSmTJtX+3c5f5PXCyQGArtNju/i66/L4+21Gq5IyZ4M+xQ2V258paOnBWdrUlboLYhPywzk2KW0wEOXW3bEndtRJ9WyMOzh44OOqQyWS4+Ifi4h9KyPRF0GYEmdxut7o30ejSSy/FN34KFSl7ADhx4gTfffcdy5cvZ+vWrcycObPP7yohIdE3kvghISHRK3fM/JzbL7Dw2muv8fDDfyVxloGq8gut59/fJARju3KGaHJ6wNSZ3aFV3LX1dBdNSbU9BDztcl0xn0EvknaTxeoqs7ZYTGc3y0+YEJa2iX2cF98564mvspZtTh9clhbDPm8chwmLu82Zh63l3nJhETg6Iu6MCx+9ERGdyHdfrKOgoIDQ0NCz0geJM0vM3FIipiXw458zSC3ei9+YaczSjbSed5wpZGgYWznTWrY/pdF6bBohHI90P/PZiWzJbNT3WJ72hWDi76EWRRSzlyCsNFY7Daht37iJ+Gq1JB/dwprCvTyL5PYicW4y75I7KSnMoKw4i11bvwELBIcOIzAkDgetM9fe/AwVZXl0dLSi72ijo6MNfUcrfoFRhISNwGKxUF1ZSF72MTb/+hF7tn/HBRfeYLcAtxUXzrQFR19Cxqny96d/oKO9BY1D38+AP//PhfxcDfVZ+Ty6uQW5UoG+TXi2PT1ncBOP4hZhQyHeR/hbrgsJxVJWSMzVd6BQCxsih997tts1Y5c9Pqh7BCbOxNHDF1NHOx999BFZWVkkJSUxa9YsfvzxRw4dOkRaWhr/+te/iIgYmphiEmceye2lb/75z94zJwE89dRTQ3IfSfyQkJDoE5lMxkMPPcTnG99i76oMIifPQfYbRiD30Sq6WX+4d2aR6RJP6myCgnRZfthmjdGphQ/izs7pMdVffGzqfUXB5EiNEAeh7teBiQlJuRmMjY3vv+Jp0mXtAVBfVgOATCbv/Pf8eWlK2KN0UOE3OpDavEz8xkw7o/f64q56rn9bx8w5BVwVJi5EVHL7OCHenempq2yCmz6QI4yrO2fauOYMEp/QWo5v7TR/14nPBUtngGOLyUTyD5vxjBst/fYlzmlCwkYQEjYCg74dmVzBkQNr2bX1a5DJ8PYJwUHrTHVFIa46L7x9w4gbMZkRo2dYY3HIZDK8fUPx9g2luamOXVu/5sDuH3Fz98FN541vQCTjJl2Mi+upxZR4cvlam4w19u4bJ3OmhJXl/3dZn+efXL4WfUcbKR++h7G1Fa9RCXbzl6c3y3D3awaELG9dhHe6xxZk17H5l2y2/ZqL3mRh2IxQhs8MJWKYp/B3Hjme+px0TnzzPmHzr2DclY8BcOjbF61tHf70+UF9r5Pr79+/nzkX3sKhAz/x0cd7Wb/hHdpa6lm1ahUx8bMYNnoeao0jK1f0bQEjIXEus3r16m6fDQYDeXl5KJVKIiMjJfFDQkLit2XyFXEc/TWH0vRdBI7oP3phYZqf9Thgqugq4tW58Cm1SaHZlXHFVrTocmsJdVbi7CJMVuqGKAuLLV2pPCOdxUlPlIvQkc9zRbP8y0cJZS0DTDax8N4s9mYLrjKKSLHf2WuFv8tFcWcvNW5mykFCQ0MJCQnpv7LE75rAcSEUH9iJoaUJdELZlrZUoj4dB4DDpTY+tsViWs1DqYIbS16QmJFleoDwO1Y0ikLGvEDBEuONtDpmzhHrDgUFNkFX//pYBQDbV4iZp1LbhPv5hNYOrEGZDJNBj8bNg5GmwKHrqITEEHKyULD8qSU88eIa6mpKKSpIp6Qwg9aWBiKmXkZTYw3FhemkHNuKSqUhJHQkPr7hePuE4ukfiNbRhXGTL8bZxYPamhIAGuorObTnZ/bt/J7E8fOZPGMpbjrvbiLGzs1f0drSwPDRMzAa9IRFCoKhQd9OUUE6HR2tGAwXolKpMJtNZGcc5NC+NUyasYSIqMQ+v19jQzU1VcW0t8/GwaH3eCRDxYE9P2FqaeWixX9HoVCx6bEvUag0RAeNICBoOKY59q4wAI317byzfB9bfsnG2VXD1LmhVLabObo2mz1fp+IW4s7cp+cz7mqInbGQXa/tJPPbFUTPuAYX76F9t2o0GsaMWciYMcJvY8qCezm4eQWNdWVkpmwlP+sAFy5+hOLiYiorK0lMTJQE3nMQi+UMWH5Yzp//z0ePHrUra2xs5Oabb+byyy8fsvtI4oeEhMSAePP2XwipeYlHH32UqJB4/INH4DRMyBSR0SA+fHU+gmDQVDOw2BdDhclisQYt9dKI1g4NncpKV1YKgEVB4s70iV7M7HvDNiNNkE28kQmewo7brnuzBtROc63oYuDq4z6oPgwG25gfXZSWnmD+vOln7J4SZ5+vr/kQgNp5tXi944VGvY8tbW79XHXmcFeLY+V/qYLb2SsLxTghtR1CVhitUpyWnGgQRZbBoosWXdssx3QAGA0dYDYTqvA95XYlJM4GMpkMD69APLwCGT12rt354pwTZJ3YT2FBCkcOr6WjvaXHdtw9AxiVOJvE8RexdvX/OLT3F1KTdvDQE18CsPaH/5GTeZjG+irkCiUH9/4MwMVX3I9areXHla9gMgmipPqLF5gyZQpHjiTR3nm/mGETu4kfFrOZ5GPbGDH6JcpLc2ioq7BeX3BiHTt37hy6P1IvHN63BrPZxLrvXwBA5eCMSuvMwb2rgFVcUHcbJe6CWJHsIFqFNDYcJvvnbCIWzuH150NQqRXsruxg4YMTyT1czsqnd5C88hjjb5+Ai78r856/iJ/v3U7BkV8ZPvfWM/qdHBxdmbbofkqz9nNs/2r0HS0c3fsdw4e/TlNTDR9//DE33XTTGe2DhMRvgaurK//85z+5+OKLufHGG4ekTUn8kJCQGDCPPPIIr7z2HmnH1uMXNHzI2u2y+OiWyrYHNxVPjb27TXHrAE0x+kGrtG97krcY0NS583xpLwFYT6bFYEGtFRZvoZ7iNYGBowAwGYam34NB5+9JR3sr1VWFzJhxhnKPSpxT7NixA4vZgtJBxcB+ud0xdIjThIPVgkvK3bGiiFLamTFhhq84VvKaRdGipkMQH0fqTi9T0fYKQRwpTxRT84bqhPSUDQOM+aFQqHBx9SY36wCuVwzsGgmJcxnRSkS0FrFYLJSUlPDMv1bT1tqEXt+GUqnGZDSQkbqHPTu+w6Bvx8HBiVFj5zJ6zFxkMhkZKbs5euBXkMlQKJR4+YRQUZYLQNrxnQSFDrMKF1pHV9paG9mzZ4/1vkqlishYwaKsrbGVutoy9u1eRVrKdvwCotBoHK3XA9x3X/8uGkPhLnPJ0gdpqK9EqVQhVygJCYvnPy/cwGPP/sBP373Gto3vEZR4IW7+kcgsapQaLTK5ApWjsIHjFhbM8p+92fnkS8zrmvbMgYNfLyBz/XpCpkTjEekNKIm55kKOvvUxpSk7uP7W5wgKHoZa2z3Q7Kl+J2cv8bk7ysuNF564hAce/oqJYxdwcP+PePuFkJN1iKamGl588UWWLVsmWX+cY1gssiG31DifLD96o76+noaGobMslcQPCQmJASOTyfCePZb0r74l3bgfh0/DABh+XZG1jtkoiATO7m3WMltLjC6hY6S7uBiqPwPuLACvbXTi+YuFRVORjUhS2S4ex7gOLqBjkKOC4lYTQY4KGg1ivw/XChYkLYaBBU9Lq8i3Hscru0ePd/Y4tRS7hnbRiqWuSnAF6DIrdnYXYi9sWrcCuULBvHnzTukeEr8vPvzwQ8JjPHjqzhj+s6neWp6TJkgh4zfOtpalGnLFCztdzVy9e95BPl1uiHZAYyM4NrcIY+mLPNFiY98qMZDf+CU2feuPRjMNxaIY4z1NDFwc7TqOI++vIyQ79lS6LSFxVhjMglkmkxEUFIRfQKTduZjhk7josrupKs/HLyAShVJ8/1WWF1iv9/QOwscvjPiEmXh4BaJSaSgpOkFc/FRcXD1pbWmgrbUJnbsvHu6B+PiG4+UdjKuHJ/qONlavfJHcnCMolSpUKg0dHS3U1ZThpvNh7KRFJIy7kCuvvPL0/zD98OyjC3lyec/nlCo1l1/9NxwdXTm07xeKrOUavLxCqCjPQePghFzV81IpOHYyFYUpbF++ngsenY9HpDdOvt4ETZtA8c79fJl1gIWL72XMxAVn5st1YjIZKCvLQm9oxT8whuzMg5w4cYJ33nmHu+6664zeW0JiKHn99de7fbZYLJSVlfHZZ59x0UUXDdl9JPFDQkJiUOiiInD09aF4916ixoWd8fu1mUQxQWsTFKTZKCyWfB1E4SC5TthxPpZ8auIBwIuHW7ghThBmbEUbx05LlHq9uZu7S28oZODuKvTHJkQC+5pSAfBA09Nl5FeVEj8I8aOkQPDjDgztO4ZBc10TJ7J3cfTAryxacp+U5eUPwpQpU1i/YS1NDR2Ac7/1B0teZ1wON5UoZHQFCgQY7SEcFzaLwtwN0afu5z8pRhRVv3tT+M2bvcUFnKyjbyHVd2Q4Tj46TqzOgNdOuRsSEuc8g7UwsPx9AU+8eDUgpM3t4t3/3E1VRYEQKNQCnt6BXHHdP/D2FVxF2hoFgfSVF67kyeVr2bjmfYoKU7n4igfISNlFfs5xAgPjuOjSuwiPSujW9m9Bb38Ha7lMRkzMVNrbmmlrbaa2toTysmzmXHQb8aNnolZroQdDzc1fPUVDw/2ERY1i6z/XM/Heacg9vAidO4MFo2/kg7fuY+0P/2PTuhXc+cDbuOm8T+t7vPDEJT2Wl5VlU1aaSVlpJgA+vuFUVuRx991386c//QmF4rf9e0v0jtkswzzEMT+Gur2zyWuvdX8py+VyvL29uemmm3jssceG7D6S+CEhITEoZDIZQdMmk7nqR1oiynDy8O+xnouHuGOssnn3dokZKpsYHF0m8bbpZls6z5uGKP1tro0pflajeJ+/jxSi3T+5r9Hump7QqeVWSxXbvnUFcLUVaHrFDLVKcRGXX1Xa7XRTTQMunqKJq1EvtK1U9/7ILikowWwRF36Kzgmm2kH42x7at4ZtWz5m/JRLSRgnWX38Ubj11lt58qnHWf/9CQieAkBVnhvyTkUufWS6ta6/zZgNCBPSVzc1iSJdQ51gvv1JjhgI2NY17FTJbexgX5XgPrPvR3G3+s93iBZl+6oG9yBwGyNmjanIEmPqyGqNuIeMp/jwZuIuuQUnH0FAObziuVPqu4TE+YJMJutRmJiz4FY2rf2A6soiPDwDqK4s4tP3/k5TY63dwrqiLI+jB9czMnEOBbnJ5GQeYfHSR4iMGYeDs/D8ONMpdQfLc48tAhb1eO7v/7e6x/Iu3NzcGDv3VlL2fMee/2zBd0wdzkEBVDeUEzX5SrJ2f4O+o42fv3uNCy68geDQoXMXBnDxciPGYRwHD4RTWZ4HQEdHKzfddBMZGRlDei+JIeAMpLrlPBI/8vLyfpP7SOKHhITEoAgZUU7QMDdKd7tQlb4P3+nXdjufGCws1A8XDM6dZLB0pbUNchQfY12WH/6R1dayvdWn9phzUsqsriwA/lphkme7w90fozpdezJsAzf2sTFd1Cr0O5SeBSVbzCahobp2YSHq7uDSa90jB9exbcvHTJh6GRcuukPyA/4D4ePjw8i54Xz7SQqhl89A5XjmY12EuYqWHYerBEGlzCZWTpdoqJCdelrbn/8XylX3CWb633wYLJ5w73+X0zNiFDV5xzmx5hPiLrsNRw8pAKqEBPQsTDy5HCKiEjl+dAu7t34DgEqtQd5DyvuG+koAko9uRuPgxMLL72XEmOlDInjYZqM5UwLKk8vXYrFYaG9vRqt14aVn+s8woVSqGT39WvJSt1OQvZeKI/YZK/JzksjPSeKO+94Y8j47Oev40/3/o7KwiMamapydPfjgnbsBuPfee3n44YeJjLR3gZKQ+KMiiR8SEhKDRi6XM2LJaPa/tYvGmuL+L+gBWwuJinZhYeRsEwPAXS2cN1nEHd8TNv4jroMQIUAQS7oCqjY2icJMfYfQ5n2jxQVbxwDNTQps8t52fZ9jhWIsk7kxPYeY1EW00HBMvF+RqbrbeQcnLWszxEByC2L6T4tb196EVinuwvu56QBIStrAlo0fMm7iJZLw8Qdl5s2jydxbTMnODYTNH1i6OKfOsWhyFgUKk0koq9eL46Mr4LBZOzTTiblXiDs/xS3ibzXBQxhXX782sBSS9ZXOWDq77uInWlm1lCpQoiLukltI/voN6nJSJfFDQqIf5AoFCeMu5MeV/6akpAR3d/ce3yXRseO56sYncXb1xC8g4pRdXJ5cvhaDoYP87CRa25oIixyFm9vpuY0MBJPJyA9f/4uczCPc+eBbA7pm/IjRAEyITwDux6Bvp7amlLracspLcti9bSUWixk3nQ8eXkObYrtnsWotU2dexe5tK3nnnXd45513eOy5H3nh8UuH9N4Sg8dyBiw/htyS5CxTX1/PihUrSE9PRyaTMWzYMG677Tbc3IYuW50kfkhISAyKr676CADTFSZcvvUnJ3M9lu03WydCqjmC3+nSePHx8muJKBIsChIW/YYhjnFa0W6iKwutu01IgYjO+ANdViGDYayHmuR64bqunesW48DN7yt6yAyji+g9gKQWYYGXW1TY43mjXvwOrQ1CO3Xtzbg79BzLobgonY1r3mfyjCuYfdEtyGSyc87kWOLMU4YrfmNDKTtWhaxJ+E36ThfcvOoqxPgy7S2n78LSG7+ki2LlfeOFY9uAwTN8hUG7rqSNgdIlOCq8xcmfUi2Mkfa6vi3PZGolKkcnzCYD9JBZSkJCQuDkd0ZwcHAvNUEmlxMzfNJpvWcsFgub1n3Iwd0/YjKZAJsscFpnEsZdSEN9JW46nx77dyp0WZVkpOwmPWU3Dlpndm35Grh50G2p1A74+kfg6x9B3IgpjJ9yCTKZDK2j62+2+TBj7vUoFCrKy3Lw9ApELhvcZpGExNng0KFDzJ8/H61Wy4QJE7BYLLz22mu88MILbNiwgTFjxgzJfSTxQ0JC4pRQKBSEzr6AjG++oyk/B9fwqCFtv7LTGsQ2uKiTjWVIe6d1RpfVyKngqzPS6T3CURsXl9ROwSPObeCuO67qzuwYHq02pT0/YlUORsxe4jmnCvsJ0YLYydbjjmZhQajU9NyfuvZmAORasR0HZy07t39OQFAMs+ffLFl8SGCxDE0AnUBHm3HYKQYmeoiK48FKUeDzsKanHvw4bVwjLmqyJvwq3M9pYKqpg7uB9mZBTDQfd7SWq2VCPzoAs9GAXDX07nkP/+O7bp9feWHpkN9DQuJcZCiEiPvvv5/9u1bj7OzOpGlL8PYNZdvGTyktzqS9rZl9O1dz7NBGFl3+F2KGT+rmDtPFY/fNRKvVDvq9V1SQhqvOm/CoBIoLBxYzo6/v/OTytTg56wbVh6FAoVAyY+51v/l9JfrGbJYhkwKe9sqDDz7IpZdeyvvvv49SKcyRjUYjt99+Ow888AA7duwYkvtI4oeEhMQpo4uOwiU4iNJdm3AJi7RONArS/PilQ3TlmBYouoJ0BTa0zeIy1lPYcc7ViwukgNMwo4+2SV9b0CK0Oddfay2r6BQLBoq/VmG1/KjTD3wRl10vfMf740XLjMfTewgbD7R6iou6wqpKYrD30a2uEP+mjR2CyNJsasdZYZ89IyVpG+WlOdx4+3Ke+8fFA+6zxPlJY2kDGtfOwJ9qOY5uQgpos0UUMmzNZ/07RUdXg/2Ooek0RZSXtgjjU7FfTGV780NC4NXxXuKzYvcA2loU5MzHlWJ/XIcL36u2tO+MScoaM5hA1moWjoeQ2poS0lN2MmnaFSgUZzb2kYTE+UR1dTVvvvkmWq0zt/z5VVRqDdWVRVxz0zMcO7SeLes/JiA4FicnN1Z9+SIaBye8fYJBJmfcpEUUF6RTWpzJy8+UEBk9hsXX/I3n/9FzlpSTMRr0pB3fycjE2bh7+JF0aCMrVqzgtttuO+XvczYsLSXrTonfK4cOHeomfAAolUoeeeQRxo0bN2T3kcQPCQmJU2bvsy+yZ8ElTJ06FbdjhQwfcQGZaQPLmjJQiltNVusPd7W4EOsymbcNpDjBS2NXNhBePmDAWSfGNui6T1eQ0/4wmCzWlLstjaIQodbau9p0ZcG583Zxd/y5dwLs6iWfEHedInz6SWNrEhZ806IEk8DqqiI++eo9ho+cTnDYiAF9B4nzl/xdJVSlVxBywQRQnxnz53ybVLaitQeoO4MivnCBKAI8+MvgxJPt7emEdI6reWHjreWLgur7vVZWZSDBL876eU/9CQCULaBxcqOjtf82BkN7ezs/rnqZ2poS9IZ2Zs29eUjbl5A4n/n555+xWCBx/ALyc46xef1HtDTXW8/LZHIqyvOZuuQxXEIScTI1UVWeT2trEz988zJarQvh0Ym0tzWTlrwTL58QGKD4kXp8B62tjYyZsAAPT3/27/6RV177kPwqIQC5JCpInC5SzI++cXV1pbCwkLi4uG7lRUVFuLj0HtR/sEjih4SExGkxZcoUYuOmsXf3N4SGjhrwdWnHxIwmqZ0P78RxZday3CbBQiLaVWV1bQl1OrVHlkIGm8rEWAJONj7+Lx8YWCyQRr397nB/O+ANlYLFx68ltnE+1Hb1nvhzKc+9Lv49JgTFoVApya0s6VbPL1is41hVD0CLoZ3ytjqxn/VVfPPpP3F29WTh4nuQy8+fF6PEwPnn9mUAlGbWcPC9rQSMCcMzdvSArp04qo6yVuH3bis4dllr+dqIgtWn4XZmmphL2XFPQAyc+sn3YkBTc3t6j9edjL9JDITmlS3EI6hr6TluThdGJxkhfpFUlOcwJXzkoPrdF0eOHKG2poT4hFkcObiGuFGTrWb50uJJQqJvGhsbsVjMtLU08tO2b1BrBItNlUpDZMw4PDz92bf7B2QyGS4ewqbBZdOuROWgprqyCBc3TzQaR2qqinnntbvQOg58wVRXWwYWC3KFHJlczuQZS1i7+n9kZRwgOm7CGfm+EhISIldffTW33XYbr7zyClOmTEEmk7Fr1y7+9re/ce211/bfwACRxA8JCYnTRrc4Ecv/jrJm/9ss83kWAFXiL9bzXVlWAHwGaE0xUGwFiHUlgivIxUGij/9ArUCa67VoXQTrj4omYcG3yiZFbbxP79fmNhvJ7gwk2Vyns5YrlL2b0z/7SZD1WNbQcx+7LD4cXftOT+qnFdwZMlMP8u2X/0Tr6MrSW57EQdtzIFSJPwYt9e18+dhWNG4+eI+9Gnmj+DtrrBZ+GyqN+BsfG980pPfPbDRwuEawCJnrL1pEvbRAEACXveQ14LbiOwMFVx+ttZal1LUP6Fo3Pw/r8RhjOADOjk7sUB/DaNT3dtmgue3uD8g+sReAmfNupK6mjN1bVxIRlThk95CQOJ+ZNGkSIOPIwXUAOPqE4usXhr65npzso2SdOIiTk47powUTeEO7OH69fIIxm0ykJ+9i28bPcHP3IXH8/AHfu6ayCDd3X5ycdAAkjr+Iw/vWkJ68SxI/JIYEi0WGxTLElh9D3N7Z5JVXXkEmk7Fs2TKMRmFDRKVScdddd7F8+fIhu48kfkhISJw2KkctEQvncGLlTxSNSiU49NRcLY4e8sdkFISHYeOKANhsE6xQ5yPG6pgbMrjHl7tGbk2P+/Uh0frCN6gBAL2xf3cAH62CgmYxZkfXbnVvFCULiknxNrFexIIK+4onWZDsLUpj1vBx3SZ2J+OkExavid4jOJqeCsCxw+txdHLjhltfwtXVi2cfW9T3F5I4r9n2yXEM7Uail16FQqUG+v699keXq5nBRsxMThEEDN9J9dYy947Bu9Z8/EkILvVKPBTiuPa8NGtQbbQZOgiIEqyj6nL6juvT3NqCRqvFbDHh4OLYZ92+ePgf3wJQVppNYUEGB/Z8R0T0WLQaN0aPuZC1P75BfV0lOvc+1FMJiT8YBoMBlUrFk8vXWi2inly+FovFgkwuw2K24OofQcT0JdZrvGPHk/HrR90ES5WD8C5vqBBE0arKAlZ9+SIAd//1fZQqe0vL3qisKCBm2ESrtYlMJsPDM4CmxprT+7ISEl1YsE1eNHRtnieo1Wr++9//8uKLL5KTk4PFYiEqKgpHx1N/R/eEJH5ISEgMCSptZ0BRGWxrScX9sDjZbxhVbj2+MlSwYlhwtZgV5eUkYcc577h97IvB4K4WrEpWF9qny5wXYB8UtDfSNoUBMGx2gbWsP4uVwlQ/APwjxaCkpen2O9u563xBKSNmgWiWn7Wx5+/dNbGTK4V7N9c04uxpH8gxcdgIzGYT6744zPIXX+Bvf7uzz75KnP8YOowkrc9l0tI4mpy6m35bdEqCYioBaGsRFwe2qWe7rLUGktq5uaKW7/97mKrCBpzdHZh1cRTDx/t3y7Swt0qMqdNlDRLYKgY8bdTbZknqHQ8/cUxtLRcsP9oMHb1VF843iG5nRY3C906MHoE8TYnZdHqCUBd7dnxDfl4Srm4+XHz5A8hkMsIjBYuPopxUHGIlKyyJPy6PPLmKmopykpM2kpd7lOqaIkaNmcPcBbd2q1eUn4rFbEbp4ES4jfABoHZ0wW/4JIqPbGLDL+8z56KbUShPDigsPK+WXPcoHl6Dm0+0NNfj6Nj9/WqxWNB3CPOJh574klefkzKoSEgMNVu2bOHee+9l3759uLq64ujoyMiRgjtqQ0MDI0aM4J133mH69OlDcj9J/JCQkDhtHl9SS2O9ipu/U7HjxCYCp8wdsrb9Q+ppbRUmOLbiSJ1feW+X9MvYGHExpJYLbW897D6ga1uM4gKxy5KkN4ZfkE/e8QCuv17s64q37IOXOjR3b8fP1ZP2xlYcXO3V7uYaIaCsySAs2rpM+mUyOWazCVfXvrNcSPwx+PmrOjpaDZiCE5FlC78Vi/vQv/JL9x8k9Zs9uLuomBDpTGZeLcvX5DB6ThhXPznNOl6clANzd/O9Qgz06759nvW4uF0YswFBdpd0o6lGsOQaFTfMWtZab28FcjQrlfrmZtpam0nLOTGgvvWFSq1BrlARP/sWdpUKsUosFgsqlYb6uh6svSQk/iD87YnvWPvTG6QlC2kqY+OmMCJhBvt3rSY74wAN9VX4B0ZhMZv59ae3AdAFxaJQ2lttaD2ETYaDe36ivracBQvvQyaTIVcqMJtNbN/+GR5egcQOmzTofnr7hlJV2T1W0IiEmaz64gW+WPE4ednHyEjZzdof3hx02xISgGT50Qv/+c9/uOOOO3qcv7q5uXHnnXfy6quvSuKHhITEuYWrzoHLrh/BNx8exCU4AvcQ317rPvKGH/4t4m50mVaw/FB5iTEJutLf7iwafBrKpM3R1uNRs7IBOF4nmspqFf37SP7ppiLe/SzM+jmt89/Zl+X0WD9khCBwaGzWeMl7Q+zqhc0Sdp6b67R2506mvVHYDc8vKQYg1C8Ao77nnWqZTIZKpaG1dWA76BLnNzWZxTj7eeDko6Mte+DXdYkVqs5Aubb6XpfY1+X1UpRcScrXe7hnYQBPXBmCRiXHYrHw/b4a/vx2Fv5R7gRf1j1qO0BSnmCFVdomxu8Iu7hqMF8PgP07O8dXlM1vvodkU446Zyxm4XuN1wlBX1NOZODtF0Wq8Rdqynse030x8R9PsP+F59hSfoyyI9spP3GA2ImXo9I40o5giSKTyVA6uZFakEyzbzCwdND3kZD4PdPU1MRnH/6dirJcAGbOvpn4kbPR+XmSOOEiVn76T7766Elmzb+ZmppaKsvzkSuUtNaV9dheW205MpmckHELyDy4hpEj5xAcEg9A0tENlJVksuzOf/VgEdI/+o5WVKru1iKxwyfh6R1EVUUhUbHjWf/zu3zwQSK33377oNs/19m0aROXXXYZ77//PtddJ1m4SPx2JCUl8dJLL/V6ft68ebzyyitDdj9J/JCQkDhtRnoIC/mnH57I7sMV5P7yJe0FM/GNm4hMJqMuU9yFeUQ9+EXOyQTFVrLpmOA+Ex3VYC13GICoYYtaLqOh09TfbJMu7E83FfV6zZYfI1kUOBGAIy5rreU+YXU91g+NLyP9yzliQeJOuzp+Tt2tTkqaaqhubWS0X6RdXaVaeGx3ub80lNdarT9UKg1tbfYuPxJ/PGoyq3HQ+VGV4UaIVgdAgUYcK7nJwiRfrRHFNGfnykHd48jqDCIDtPzz2lCri4tMJuOKyV7sSmvg+2/TWTBzJHK5nKIcUex0dB5YoFKNk+iqlukqyI8B9G3KLkPox45jB61l00eN7bFueY0wztvlpxaEecz9D5K17nuaK4oIGDcLx4QRNMmMYBIVIxefEGrykgkcPfOU7iEh8Xvk8ed+xmw2sWb169RUFbPk6kcJi0jA0VV8Dji7uHPNzc/w5YdPsOb7163lDloXWmvKqCtIwz10uLVc39pIRfp+dEGxeIbEU5mxj+zcAwxLnIK+rQOjqQO5XNEtNe5g8PYNo7y0uxAqlyu45e5XUSiUyOUKfv3pbe644w72JbXgHxh9XmVwysvLo7W1leuvv57Y2FjGju35uSlxGlgsdjHehqTN3zkVFRWoVL0Llkqlkqqq0187WNsbspYkJCT+8Dg7q1n0zwvY/8lxjq7cSl1RBqHjLgIn/36vHbEgj5tiRGuIbwsESw25UlxIBMUObnEGkH1EsJNXjBfNWaNdBrYrFBgvPmwT6i7ut351sRulRzytn2Pn2osoeZ2LTq8K0aRX00tMtqTOHekZCeMBMBlNGNq6xzewzWShVKklyw8JkpOTaasux3/cjCFrM6dKSaCHkBnG31EQC2qza7kqwb1bbI8u5ie688nWCjoa2tG69xysLHRhNcWZQmwgU6dgkHtMdAvz66dPHTnCfb0n2ri19GD5AaBvE54naq0w2GpaGyk5sQ83nzCc3AYWjPTSm4SdJ4vFgl7XxImvvkLWpufKa58iKHgY2xtSu9Uv2v0rbRVFmAwdODRJ41Lij4PFYuGHla9wIn0vly59kOEJPZurOzq5ctu9/8XQ3sGvVQfoaKhD4eBIzupPydv9A7X5qbj4haFvbqAm7zgKpZqgkbMES0dHVzraRBfW8ZMuobqqkFVfvMCI0Rcw5YKl+PpH9HjfnvpbXpqNj1+43TkHBzHb2rD4aRw98Csq1cBjiP1ecHISv+fWrVsl8UPiNyMwMJDk5GSioqJ6PH/8+HH8/ftfRwwUSfyQkJAYUuQKOUe+SeWCyEs59uku0jd+TPWIFALGz0ShcSBmpiAIaLdOsV7jcdHxU77f9rXiwzJ4uOBbLy+1yZLiNrB25owXTfAT3IWJzS+9Ve6ktVmcAFUX93wjxaaJtMhtdrp7eOrmq7tbjchUFkK07lS02FuTqLSCO1Bebj4A4RFh1nMWsxnLebALIHHqPL9jGRveO4LSwRG3kJ4nEpjA0mnpZLLJclRbJU5+Hd2E32xtQ+/TBLVWSZVNOmhbqhqFcmd3ExrnDopPiAKDXCZYW1WX6Pr9PluKjwFg8RBEi83a/f1eo3FysAqGAB0t9pYm1UWpNNWWMGHuHTir+3dBA2hrbaA45zB5GbvoaGtC5eTEddf+Ew9PQbBZGCpYuK3N3ouxo42qtEPWa13ch27iJiFxLmM0GikvzSEjdTcLLruHkYmzu53Xt3WwqegwAPPChHEqVyhQqDU4eguS58g7/kTemvXUpCXRUJqDUq3FM3QkfrETUTk4YzLqaaktxWu4YIWp1mpQazVceeMTHNz5C3t3f0tq0nZCI0ZSXVmEl09wn1YaZSXZVFcWMe/ivoOFu7gKmxuNjdV4+QSf2h/oHOWiiy5i7ty5bNq0ib179561flgsFhobe1Gxf+9IMT96ZOHChTz11FMsWLAAB4fuwmJbWxv/93//x8UX978BOVAGJX489+oGNA5Dm25GQkLifOAi65EH8OTRtXjF+DH76SXkbE4hddVR6nLSCJw4B/MMHXLFwFJhXh/uxBPf6ayfvYNFMaC+0qWHK3pH3yE+7uQDFEQA5o0Wdmz/FLcZgOfemdNXdSzOogm9YtNEu/MJrYEccyihtqNJLHTubomyYNRUAGJPulZhEzTSVvQAaG9rpqmxhtRsPU8uX4vEH5VrKDmYTkT4SBaFT+12Jr6n6rYhZEp7Oe5CcNunvvNjVLiZn3Z8xRNXdRDUGaMHQG808/7GCiKiRxOeK2RzCLD9iXf99G1jm3XFBD1Jh1g4bAq9MrLzX1ujih7MRWzdZwDKS3PIT9pA9LAJzJuzGKDPMXNo7y9s+fVj9Po2lEo18YmzCAkbQVjkaFzd7DM6LYyajMViIdflQ5qb6pg1/yYmJU6QxqXEeU1DfSXNTXUcObCOpEMbAYiISbSrp9ZqWBhjP64X+Z30vrxhOl999H8UFWcSPeNaHJwF91CL2UTRsY2YTUYSxs/vdolMJmPCjEsYO3UBmWn72LrhU95/4y8sXHwPTy7vve/5OUmo1A6ERYzq8zt6+QTj6ORGQc5xIqISz7sxPXH2A2zatInvv/+eOQtuZcoFv12couamOrIyDlBXfgitdmCCtMT5wRNPPMH3339PTEwM9957L7GxschkMtLT03nzzTcxmUw8/vjjQ3Y/yfJDQkLijCFXyomePwqLchIlezdSsO0nyo944JcwjdE3HEQmF0SQ8F2LADBFb7Zee324U49t9kXxQWEhIgsRzfBbawYWB6TBYGbLplAAjo0SVn7zRvedQjNhjJjFZcfnYcKB/VqIjBrR5aY90D6+gKzRZFc2WCrL8wHw9bc325X4Y1FTVcSwkdPO+H3GTlrE8cO/svDZNB5bEsiUOFeyy9v4948lZBS3ccOflp3xPgwGo9FAevIu1v/8Du4e/ly69KEBXZeesgsvn2AmTltMZOy4bmbwvSGTyfD2DcU/KJqpM6863a5LSJzTtDTX88m7j9BYL7iKxgyfhKOTGzpd74HPB8KiJX/hs/cfJW39+7j5R6LUONJYnouhvYVLlj6Izr1nlzWFQsmwkdOIihvPhp/f5efv/kNhfirD4qcRGT3GOvcAwdIg7fgOQsNHIlf0Hf9HJpMRHpVIWvIups26GpX6/HJ/kclkTJ15Fbu3rWTbxs+YOG0xCsWZXyoeOfAra3/4nzV+RW/uD+cF54GlxlDj6+vLnj17uOuuu3jsscesFswymYz58+fz1ltv4et7es8SWyTxQ0JC4owwvHyxeDwCGDGP8tIcvv3xDQp2/ERNpo7YS8YSOL5vn9znltZbrT9aGsXdAN9QwU2lUi4GC21t6SV4BpC6NZwRs/JobXDgm1/ECdNj9wlR5V/+pnez9M9+CKZifj4Au5JEU/bEHlxi42eIAdPSvuqMM0D3CZW8TN/NQkTWcfpvw4qyPOQKJZ5e9ql0Jf5gyGRYLIPPkjRYHJ1cueFPL7Nu9Rvc894Ra7mfXwjX3PoYQSH2mV7OBo0N1Rzet4ajB9fT2tJAVOx4Fl/9MA5a536vra0upbggndkX3cyI0RcM+J552ccozE+VhA+J8x6j0cC3nz+PySi6wLW2NHDVjU+edtuubl7cfu/rJB3eRFryTgwdzcSPnMa4yRfj4xfW7/UqlYaFl/8FX/8INq37kKRDG/HxC+e6W/+Js4sQL6ukMIPy0hyuveWmAfVp9Li5pCZtY+0Pb3LZVX89na93TnLBhTfg6R1EUOjw30T4AGhrbbIKH7Gxsdx222088sgjv8m9f1N+Z24vzz//PGvWrOHYsWOo1Wrq6+vt6hQWFnLPPfewZcsWtFot1113Ha+88gpqde/z8Z4IDQ1l7dq11NXVkZ2djcViITo6Gnd39/4vHiSD+lU/8dC8HnPwSkhISAyUIy0VtFSXUp+3mcPvb6bieAEtS4VFSP5+cTfm/snCE12rkPGvq4QsFU+v19g32BOFoi2/TCO0GTarktaG/ndpLl9QxMrvBeuJ3GN9W2RcHy4unsoW9OQnIDA5YqT1eHv+Mbvzfipdt8/NtY2YTWZ2FyYDMDdeiCWg0vQeqLWqogAv7yBeeOKyPvsscX6z7McbcQyTk5efSVK6kCGlUS/4hTR6i79nRamwUNGMFEUSF0/Rf8TdV/S5jvDqPg4MNrqKkwyWzhtOXVkIdSVNOOoc8I7QIZOloifVmoHpcLroppYQJ7SdlCmWqfcL6alDvcVsLsYOcTGV5H2cmNJYvP28rWXrywQhUusrxvhpKxCnNe2F5ZRl7Ka+NBOlUk1k7GRmzL4SL28hCHJfMQDmXPccAMeOfobSxYnGkd3nPh0tbWzJOITFXbxfwNgaAMo2uJF/6Bc0jm6YdWHnVUYICYmTueK6xyguSOPGO14i/fhuDh/4GYPSkS1H9wEwPmQYAMdLxJzbfk6C8JBTJ7431Qrx/aYeK/jGTTHPQePgyISpl1I3Qhj7ZrOMw5RDbbn1XR+vC7VeazSburmFymQyxk2+mHGTL6YoP41vPnmaLz98kri46bi7+7N397e4uHkREZXYLWZWT4GcASKiEpkx53r27lzFQsO9qFSa83CMX3JGW39y+Voqy/P5+bv/UFmeh0KpYtjI6UydeSXv/fdempqazk/x43eGXq/nyiuvZPLkyaxYscLuvMlkYtGiRXh7e7Nr1y5qamq46aabsFgsvPHGG6d0T3d3d8aPH99/xdNAsvyQkJD4TTm8QlhUXPz2PWT+coCcjcfQRZ/AZ1TMoNrROAkLHjcvMdNDZIIgkqR8EdLv9arOtd1/fxL8VC5f0Ht6W4AN68OYOiePEd6hNqX2gkdjtWgSP3pZvnCwI6F7JaMFWZvNCrIXTWdqiCCa9CV6gGC2W1GWi5dP/99b4vxHq3Ogtqi51/OeNWoUWkEIdAgqsJbrfOyvCXIemNuYm58zbn72lhRr3haEBj8Hm92buN4DHDu5u9BS1yT8Wy/GxYkpPTkCjkhbhRp5pbAIiu0MLHr4xB6y936HSuPI+ClXEhUzGZXagXf/23dAw5MxNLfgGhKMooddrNlx4+hoFV3jctllPTbq21A56mgzn75Lm4TEuUxzUx1yuYKgkGF46oIZP+ESkipEV08XTyHIlqmob2u0kT5h1mNPc8/uLLO147q9D9cVCmMuMCiAkmLxfdxTQHCA4LDhXLnsKfbtWMWuHV9iNpvw8grh8mseQSaXDzhg+LCRU9mx+QsK81KJjBkzoGskuvP1J0+j0TgyduIi0pJ3ciJ1D4uvfrhX0Umib04OEqvRaNBoBrhh2AvPPPMMAB9//HGP5zds2EBaWhpFRUUEBAgbF//+97+5+eabef75589ZgwlJ/JCQkDhrhM0cRUNRNSmfr0UXnsT4O6fj5CM8LL/OF1LY3REt7g7fO1Pcmf4ifWD3cIwSdo9rK8SHsGqAgcSd3Nusx7bxPWy582VhN+qeO0oA+CnJvk5WmTgRxGg/uSrv6J7VxbFGQ2x0FI1V9QPqZ9LhTZQUnWDitMsHVF/i/MXHyYKXn5b8XdnkthWgcXYj1lkQBFQ19UNyj+oOcUE/XGcvzFW2DczlZnSMKG6s3yjEChhOLE7uvQczriqvwi9Y+D5u9cK9m/Rt3eqUFqWRs+dbnDwCKMtL7ZbCcbConBwxtNinqTWbzHaBm5vrhYDwsR5BJDdW4eZ3HvutS/zheXL5WiwWC2UlWTg6CQKHs4cbzrgxOyCgn6vB08kVB2XfpvE7jh20Hs8eNs7u/IIEIbaR2WgiMEi4p76tg7Kqym71Nh8Rs5fMGTOZ0PB4yvMLqK8rw88/ChlyGspru6WO7wtjp4uPRiMF5jxVVCoNen07TY3VmM0mgkKH/WZuNucjwcHdsw/93//9H08//fQZvefevXuJj4+3Ch8A8+fPp6Ojg8OHDzNr1qwzev9TRfqVSUhInBV+uetN4eBvkHj7UtJW/sqRD9IJnSKks/K9tveda1tcvVrIPhxsPQawaGwXJX3vvLYWCZOv4+UD221QXLzRenzny30HFzUYeg6etmDcdPRt4o7x5hPiBE9tFq9x9dYNqE/pybsIj0pk+KjpA6ovcX4z5vI4jv5UTO6mlcQsugn6juFnJflb0app7k2CYGey0erq9IOPIzL99i7hTxQAN74p3OfCewp7uEJE4yguLGo7fY2Dw3pPL2nCSE15Mjs3rSAyZgzHj2y3S5s3UFoMQnpcjbuOmtSMHneEzSYz5Q2Cq4ufm6e1vKYqH31rI6PipuHneX6lw5SQAFH4WLP6DZKPbmHuwtu7ZSM7GX1bB3E2Y0GtshdNS5pqrMf707IAcKa7ONLW2MLG8lTr54UjhYxWMoUci0l8Pvl792w5YotfWCh+YcKzqKG8tp/a3VF3pseurSklKHTYoK6VELjosrs5fngzDfUVxI+eybjJi852l848Fos1tsmQtgkUFRV1s7Q4XauPgVBeXm4XiNTd3R21Wk15ec8bhucCkvghISFx1vGICcU9KoTm4hq7c+9nNaHtjBtwa7T4YE8IEHZevvt5YK4eDaU2u782sU1l7b0v6MxGUUTJyhZ2tiIiG+zqLQyfTItxZa/t6JYkkfaVMPFbMM5eoLAVPABioyJ7basn6uvKiYzpIfqqxB8SR50DUUuvIeOLjyg48DOKKVcA4C0Xx0C1odPqYp2NO8opZrLf9PZwJt+e2n/FXkjJdcJ1giAGGlrF+B22GRl6wttRB0CjqQ2ToYOsnSs5VlNKwvh5XHTpXacsfNjiFhFF2b6DNBZXcNwsmpvFBIZ2E0TKG2porBXuZyo4hIPWBR//6NO+v4TEuUpO5mGOHVzPoiX3kWiTcrajpR2ljWuKyWDs6XIAAkPFAN01GfYmmUaLuHnR1tjSZ39knZZYFguc7DlhMovv+bXpe+xSaNe2Cvd2Y2CWH57egUQPm8DW9Z+gVKl5/AUTcrnwHj//4n+cGcIjRxMeOfpsd+O8wdXVdUBuJk8//bTVnaU3Dh48yLhx9pZWPdGTm5LFYjmn3Zck8UNCQuKsc/3sOn7OdeCXjAIsnsJj6eAmwWR8xvycvi7tRvbhYF68qYKnM8RAiXJ5/yr7g38uIbVenGQVebT1WtftyHXW44V9GH4oVSY6OrPP5Pxkn6JrU46YNUaDuMgb4R3Wb39tsZjN1NeW4+7hN6jrJM5PLg4SFIxt3j6EzL2I/HU/0R5fi4PrwCb1J1Nj4+JiMAuTGZWNJrHp7eEDbquqUVgc+C8QRM6U3IG5oyjVSpz6SClp0reTves72uorWXrVk6z8+ukB96k39n0rxCaa+I/H0Oh0lO3fT+T4+G51ZDKZ1eKjywLEYjaTnXWAqKjx6AaQTUZC4vfAI0+u6jwSngH1jWWs++FNAoNjSRg3z1qvo6W91zYOl2dZjzVKQRyZ7efZrY7eJAglPgiLuEa6Cx5mk6mrC904lpFGQpz4LOpvc70nAWSwzLv4T6xd/Sbff7kcT+8gLrjwBobFn/kU4+cDf1SBSGYR/hvqNgfDvffeyzXXXNNnnbCwsAG15efnx/79+7uV1dXVYTAYhjQ17VAjiR8SEhLnBD4hrhjbWjG2t6PsZ8d2T2Ub7mphBWZqEmdC/7q3dzM7F582mioFU1VZo7ige/C+3rO0mM0yWmqEvhg6Oh+XveyOOymF/ihV9m42kZdWWAO0Jn2fZnf+ZMFjf2oSE+MT7OrZxgDpcok5kb4Pk8mIp7dkXi/RHffY4RRu/pXanGQCEsU0rY0drTgrhN+12kGcBlTrRFesffsE86jYMcUDutfeD0Yw+fZUMqtlyJW2szFhfNpaUfXGFPMckoN/sn4eWXVpn/XLm2tpri8nY8cXmEwGliz5O37+QxtnQ+fThldsAI0l1RS52wRgPamen5snLdXtVJdl09JSR3TM5CHth4TEb8Hjz/3c7fPzT1zCA498TknxCWQyGVWVheTlHKO4MBUvnxCWXPdojzu8xg6D1fqjrx3gtfn7rMc+Jnsx1FXtRHyoMKbbm+1j7xxNFy3OjmUI79bEYSNoa+xed964qeI90/fYtdMVGHVN5QEW+Uzotb+2uHv4c/1tz1FSdIKdm7/i+y+XExc/lftuG4+PT/9uNxISZwMvLy+8vLyGpK3Jkyfz/PPPU1ZWhr+/MGfYsGEDGo2GsWMHZo380EMPDfh+r7766in182Qk8UNCQuKcwM1TECZM7a2oWpXWwKDFFaIQssetd4sMW1rqxFgBDs6C6NDe0HfGlBE6Fa9+JAgIjl7CIrC1zt5ncnPrLuY49r+701DtjGeA4CKj1hrszstMA5frO1rb0TjaC0K11aX8/O1rxI6YTHhUwoDbkzh/mRn3HgCH/iV8vkffyHsrPsY/dgqNFvvFw2A5/mUYw5aIgojnYlHMy6wemJlrU42wyDEeEU10ZyT0ndpuf/kJAGSlJ6xljkoNNSUnsJhN3LDsJZydT826pS8sZguNRZU4+rh3K9c4CeOxvUV4JskVglVLSd5RHJ09WPXts+e02a+EhC233vU+AP6BogVhfV05n3zyCR+8/QAtzfUAKJVqgkKGM/uiW0iccBHqTousLpeUrvdUT2+3uSMnYtQLlh0qB8EqckPpIbt6Qa5etBmEd7C/j/3usc5sE2S002O0Wd+Gs1os17r27sMXpvDs9RwIAghAbJO4QIyKjOi1fmBwLNfc/DRpx3ey7se3CAuPZt7Ff+KHb17u8z5nA7PZTEJCAsnJyTz++OP84x//wNHxFP0dJQaPhZ4Hx+m2eYYoLCyktraWwsJCTCYTx44dAyAqKgpnZ2fmzZvH8OHDufHGG3n55Zepra3l4Ycf5o477hhwppejR48OqN5Qvk8l8UNCQuKs026yIFMLjyNzdSt4DCI9llZ8IO6o6N3kthsO4i70a/8R1GqLW++PQ1mTiXYE8WSR38Qe66TVCyJLQ7W33Tl9m4rMfZ1BWeMqhMLjohhT2tQ91kmLoZ30zEyGxYj7yx2t7d0CoBr07Xz3xQs4Oeu4ZOmD0kJLokfuv/9+3nrrLeoK0vAPSeizrswmtmCXlVTmMdEnvyml78wMJ1NX7sKYWCFw8c+rwqzl7sG9BzN23j9KvJ+bfXydk3G0WHDQurDivb8M6Rh4cvlaAPL3p9NUWk3EwtnoKmxi85w0zM0mE6E6bzYWppCQeJE0HiV+V1gsFirKs8nO3IZSoaKsNIuMtL28ZbHg5RPCFVf/A42DE3Ut7SiVaqpbGzhyQoiBMzq09zT1CqUCo14Q/81G+/ha8wLGsTFNsP4I8rTfjS6rrEDRGfvHRS0s0k1GPUZ9O0qNlmaL2GZzZ9anDYd2d7P0GAyLfCZYxY+eaG8W7uHgbJ/lZfio6YRGjOTjtx/mx5WvkPrUzYwYMeKU+nEmSU0T/r89//zzvP3OR1xx/T/w9e/uw/tHdUuR6M5TTz3FJ598Yv2cmJgIwNatW5k5cyYKhYI1a9Zw9913M3XqVLRaLddddx2vvPLKgO+xdevWIe93f0jih4SExDmBWtspfhi7W0k0Vot+83vdqgfdbkdrp+lttU3QNZfeo9LLmk34tgi7Tfky+wCsa0r2syhwovXfvgjyEgSRLb/YBzA1e9lYovSyxkvPzAQgNiISg77732XL+k+oqynl5rv+zctPX2ldrElI2BITE4PvqBBqinbjHj3SGkQ0wVUIFNyV1QSghrJBt599NAiAsHjx2pbqAcbyGNOIKllY8LTUN/VTW8BVLe5SRnsEog0ZSXrqNlatWsXSpUsH2u0Bk7dhF75jRqCLCIFksbzr76hQCc8tk8FIYUEKen0b0XGThrwfEhJngnFLH6OpqpD6E/uprMhB6+iCXt+Oq6snUWMW4RU8glEBneKGBZTK3gOEb8s+isVRGBcL43qPp7Et90i//cqqFVLHx3mJ7pzNzbXs2/sdWVn7MZuMKJRqfEJHET5qDuFeIRQ3ifODDYd2A2DUyVkY1d0FLV8v1BtObI/3trq9dHquZOfk2tVpb26zBlW1WmXKZDg565h/yZ18/cnT3HXf8+zY/GW/3/W3RC6Xc8Ntz/Plh0+i8/BFJpPz8dt/5bKr/kpc/KkJRhKD4Hdm+fHxxx/z8ccf91knJCSEX375ZUjvm5aWRmFhIXq9TQB0mYxLLrlkSNqXxA8JCYmzTkWbiSaZMGkyK4zgKGdhiLCAOMCGAbVhMYLeLLwFXDxF8/7mOvsdmi5kDUa2vyks/mb8tW/TT3lZ5+6Vj4o1Jft7rGOygFLde2rd4HpXoh1HArDFZiVV5tYCanGnWFFgxMdJR2VLvbVMpVZRVypO7vKzjzEycTY+fmGAtFMj0Ttxl45j+/OrqUw/gO+IgS/M5RUGmkvEaYIqTvi3LGfw/sJKJ3HRVJ8pjDXvjr7HXFZFkfU4zFlYidS1d7caCYtIxCdoGPfffz+LFy9GqRyaaU17ewtff/w0xtY2fEYEo9EamDCqdx9mhUpJQeExvHyC8fQMGpI+SEgMNdOvftp63GpooyrvGEVJG3H3DGbS3NuJCEvAZDIglyspaup9s6FJL7qgbsvu22y9SxxYd2xX73UsSnLrehdfU0sySNnyMUq5nAvmXo+PXxilRZkc2Psz9TUFBF76CEEuwnOpSzjpYm32XhZECBsV/WWQ6omoyAj2HBcEmzHhcfapZLroTDMTFTeeWfNvYuv6T7h6WRQxwyedU+/nkPB4ll7/D1Z+9iyBIXEEh43guy9eYMoFVzLzwhutLnwSZ4DfmfjxW5Obm8vll19OcnIyMpnMmlGty5LSZOp9fj0YJPFDQkLinMDQIVhmyOS9v3jLcrxYMLEeANfOlBPHe8+i1x2lOGGRNfR9UZiPYOrfXipaW1RQb1eveOQX1mOdxX5CVNEk9DG43t6NR+0m9kHf1nM8Eh8nHQBypQKzUXzom0xGaqpLCImaSG5ufu9fREIC0IV5EzF7BPnbd+AaEMGIq8xUbxXEhPAgcWe1KKvKetxoHlh8nS7yU/yt1h+eAWLKygMpA4vDUVwluINFhIRay+pyTtjVa9CL2R/yG4QAxxEjZ7Nv3ZsMW7QM14AIDn/03KD63hPZGQcpLkhj1LIF+I62T1mbn1cAQFVrPXF+YZhMRrLS9zFu8iXd3NMkJM4l2ppqqcg7glLlQEn2AQxtTXhHJDJ52rXI5QpkMhlKZXf3tsMVYpaWSF1An+2HyITxfjA1yVo2foR9OlOlqdNyqhcxoiu7U5eQUZy+CzkWbrv3P7i6CSJHdNwE4hNm8v4b93EidRsjxwgCQ4CLGNOjUF4HNsYqFrMZFMK7em3OXhZGnkJg4s4FmbqHOFxdTLngSrLS93PkwK/EDD+3LMEEIWYhf7ppBosWXYbGwZGo2HHs3bmK4sIMrrzh8bPdRYk/KPfffz/h4eFs2rSJiIgIDhw4QE1NDX/9618H5UrTH5L4ISEhcU5QWyKYvWvc3EEGR9JSAKiWiW4vN/55YJknHJxEU7mmWmF3uS8P/Kz6NpD3H/Rrym2FFBS49FnHK7C+13NVITVEtHXGULCJparWGnDxEK1VQtrs/YTlSgXuAV6UFmWy/qf3MZtNeHiF2tWTkDgZv8AmPO4eRk1WKXk7Pid64RXYh/LtH2OGGXmUkroicUwGxguCiZPbwOLtGNvk4CAsHoI1YkaEhvaWHuuXKwQhxbGl9+mKq4ewIMve8BVjbh6aiXtRQRoeXoFcEncP6SmC+9nm5r3W85Hu4iIwozyfqtJM2ttbGDZSMh2XODexWCwcXveG9bNn2Ch8IsfgqPNDLlcIWaBsgoa6OQjua20tHXZthbr5UtBQgVFlQW3s31KgpKCEi0aJrjCbju6zq2M0iwK/rShisVioLkxh0rTFVuHD+h28g4hPmElG+h5UkUK8oGDHkyzT5NDaIDxfHN26u+StzRHGtK5Fw5RRY3rtf9e59qYegkbbWIK0NTaj17fj4u7OyMTZ/PrzO/y48t/k5yQRFjn6nLIAmTVrFrfe+xo/ffsa2ScO4ebuS2FeMu+89meefmQRzs5Squ4hx2LpPw/zqbR5nrB37162bNmCt7c3crkcuVzOtGnTePHFF7nvvvsGHBy1PyTxQ0JC4qwT56Yir7YVmUKBynlgwU4jnIXHV/CISmvZ+s7YGt4h9Xb1LV5KZNVGXIe3d8sGk1Xf+w53ZavYzpQ/Fdqdry11taa2Nfay+EvfG4Y6xD52yOSOkVRPEeJ0lOfZR58/UJVpPV4QKCwSSwoz+Oidh/HyDuaqZU/xzSfPcN0db/bafwmJLtSOKqY8OJd1D66kIrWEEOyzqzQi/oYtQYI1ktZFXPj0ZqF0Mu0tajo66zo4Cdcb2/o3N3dzcCLZxtqjS/joCbVciaHTBLZe047ayQ19S/8BUgdKYXMVLcZ20rMyezyfXie45IQ5+9BsaKOyMBV3D398/MJ7rC8hcTaZ+n+PUW9jJaj19CVs0iLr58aO/jNBuWucya8XrK1MaqCPx0GEzt96XFJQYnd+buIktiYdwGQWzTKUJ7lbNHa0glqG2WTEZOjA0yvw5GYA8PQKxGDTfydV7xYZrQ0t+IwXniuVSW7dzu05fqRPAQToFntLqVGhUCo6y9vZve1bjhxYR2tLAyqVhrj4KSjkStKTd5F8dAtOzjo62t/nX08PfWyiU8Xdw59ldyzn6KEN7Nj0OQAmo4GOjg5J/JD4zTGZTNbfnZeXF6WlpcTGxhIaGsqJE/aWoKeKJH5ISEicE1QUNaJxdbfLkuDYLj6mDpeLE6WE7pkne6Sm1NVq8urm12wNYNYjcvG+WzuE9J097WfJbQK+yWX2ivuJ/aI1htlsb29SPn49gFU06aJ9vzgRC0gM4Fh1Nm31lTRVFfLzCcHfuLIqF53Ohz/d9z+rX+6X79/Tx5eSkIB3LhLcs65tvAWthyNNpTXkOAuiYZi55wXFQJC1mSnbqgNAbZPwwTfcXuyzu9YEOQ2l1s+2lhQ9oVUJpvgmS88+v16xY6hI3dfNve100Ljo0DfVk2MpJ1LmR+uYPDoOi8KszMZQxUnpQG1ZNv4h8VKWF4lzFlNn8EBdxDCCp14E9hnYAShvrgVE6wt3Td+LYC+t+O7Sm3p3Kc3PFzcQ8jpd1mxpkYsWm3SI71mZXIHG2Y3C/FRGjZljd11BXgoOrp5YNL2PvSO6Q4ypH9etbJI2ynrsHu7J3pRjvV7fGyajCWRGvvzwScpKsokfPZvAoFhqa0pJOroBjdaJG257nh9X/pvy0hwqy/MHfY8ziWiJcjHt7f9ix44dTJ06FSengQWtlhgkUsyPPomPj+f48eNEREQwceJE/vWvf6FWq3nvvfeIiOg93fRgkcQPCQmJs47JYqG8uBGNh4c1dW1FeR0AWmXfBvoPTjfxZZ4QBLF6k5B/skbZt/WId3Cd9fhP7/UevNEUrGbEDCHS++6vwwAImV5lV68s14uOHKHfiuDu59QORjpsU2TGC/8YDQqqi3WAKHxYLBaqi1L4OmktRfmpdHS0olCoaHH1AmTIlXKmzrwas8mM2dR71H0Jid5QqBWYDQP77TgUWWj1Fv3/Zcaufwf+2+sKjiprtBEtHHq3AolwF3eMy9ttMsD0sFBz6IpNoOxA39aIUtP7ju9gcfeMoti8EX3zPlovsI9ZMCu60wy+pY3MonRaW+rwDYw7p8zaJSRsUXcuaH0TpqBydBbWTG2dY7lzfHUJH/1isllx9WABUtBQac0kZWsFcjJGbMXM7s8Fi5Pc+qzwiEsk+cgW4hNmEhYhpsPOSNlNdsZBQiYtsJalt9hYmjiJbR7RHQLA9aCQ6Yruhh9Mjk9gbbKQJWZhL+5r9U2iNZrWRXCVPXZoA8WFGVxzwz8JCBJV4FEJc/j848fYu+N7bv7zK7z0f1dQVVlozcx2rj0rHBwcmDdv3tnuhsQfmCeeeIKWFmFn4bnnnuPiiy9m+vTpeHp68s033wzZfSTxQ0JC4pygsqgJjbd9loQ2Y4dVAGmuF91VTjQKu0SHa+z9kW2Rq8yMmZXN4Z/EXR7H+N7jE8jcZfiFClHuPQLsze5trT3Kcu2FE9vYHW3N9sJNe4uwYGuuE2OMmIwGItyd2LP9O/Kyj3LBBRfg63sJQSHD8fOPxMVDNHMx6nvZrpOQGAByhRyzyYzrcGEMJKdkW8+pjeJCQVY0uO2kjnJR4Cuo9xPbdO19J7jBzcBoBLWwulVwWQly9e61frO+rZuZvC1NJXkY2lqwyIdmG0zt5IZ7UBxFu1MJvWA0fuE1jCidAcDWsmPd6rbVFCFXKBkZM2FI7i0hcSaoPJ6CXKVG6+4jxAlo73usVMmETQVbA8e+onuUdtTi1hk7y2SxH6ehIeLOgF+rYIa5LeuwtaxbzHCn7kKI78hJNJcX8vn7/yAyZiy+/mEUF52gMDcZ97DheEaOoicSlIIlZtKhHJzHdX8W2WaFmeDX3fV0bfLuXgWQLkwGQbg5un89EVFjuwkfAM4uHiSOnc++3d+zcPE9+PiFsXf7d4SGj8TTO7BbevpzTQiRkDgbzJ8/33ocERFBWloatbW1uLvbW4WfDpL4ISEhcdYxGkxUljSx7Ho5xzstXy2dOz6TPWOt9UroPRUeQJuP8HCUtYiztbEXZ/dWnfYWDY6dsTqazb2nxG2u1/KnPwsTpQ1pPTs6W/y6yu2FlWHzRHPflkZhd9rZvZXCgzVU/pJOWVkWe40GdO6+XHPzM3z10VPdrredJL341GW99lNCoi8CPQw4OitRGQcWnNSOzlTSGMTxZXHrXA71ozmoAi0Y04UFkcVRGNujzcF9XWLNygCC8NErShlqFzeM7f3HLRgMjt4BVKRn4XeSG88s/wQcOnd921vayMk6SGBgHCrVqYSRlZA48xja2qg4fJSACbN7TGVa5yG8eGUtNqJFX1kljeKAL+3o3Vqk2dBGY4ewk9uT/cfU4Hjr8a6KNLvzis5kUQqURC64htrM41RkJFFSnovK2ZWw6YtxDxveLaD59ACxzaYW0T+t+VBnnDAvJ7sAy03VnfGCXBXQ2PsXz+uMeRKuEwXe1tYGwiITeqzv6RWM0ainvb2FpTc8ztcf/x8fv/1Xlt7wOKERI3u9j4SEhICHx8Ayxg0GSfyQkJA46xQUNGI2WdidE41LP+shAItZhqdGWECZBrjRO/bSbA79KqSsbG/pe5GiVAuTH1tLky7yD/gRNqGc/AN+WNQ2U66T5pMTxlXS2Ole0NAsPmo9Do7HYOjg2IEfSD6+CV+/SGbPv5nwqATefvXPyHtI/SftCkkMFT5R7pSmVuE92/6cbaaHGtdOgURhu6wY2GCT2WTKVGQJA6PD2LfFUqFMWECZG2zu0UMCJpPKxvLKvYX2+hqqduyjqSQPv7HTkfWSOnOwWJQylGotxjYjxg4jDT+O57hRiDQ/KzRR7I+ijdLSE1x+zSPo/OwDF0tInAu0VQkCnrNrIDR3ChyOAxsrFmexnrFduFbWc3ImGgydJ/p4VDTXNSFX9HPvHlzjZE4qPBPH4hWVIBZ2CrGxakFaOdFR2u0avann546bgxNuCG5AFS113U+69p+9Jq++HHdXwW/G3cufspKeAyOXlWahVmtprmlBrlBy812v8N3nL/DFise5+Ir7e4xhInEeI8X8sOOhhx7i2WefxcnJiYceeqjPuq+++uqQ3FMSPyQkJM465QXCrouDh+hG0mVy+uuhXdaywNEDM3vzGVZvPW7XCxOZlC29B0vSaA1YeghOasuna8SdnvwDfnbnx80VJj+eGvuJk5uzkdZOi9u62lI2//omrS31TJ9xA9u2ftKj4CEhMdS8MvdzPir6iNvW3oZGU49Kq6ajlwCifaISx4qsVvhhW9wHPp2wdAoqSRT1W3eutyA07KoRU9xZLBYay3Op2H2IpqJcFA5a/vOf/3DfffcNqWnsjNgZfLZvDUdeaCFiuDjD3FpwlCitH20tDeRlbEGrdSF2+OQhu6+ExFAj1waidtVRkb4PZ58+dhhsRQd977F9LE5yZC1mLFp5tyDDshb750lFSz0AgXVNdufkSgX781OFDz0YVdpmm2rq6K6GesU3EZ4txOPpylYTqwmgoFqwEA31srE1sXkspGrKGdEhvsN9ndzZq84AYKHPZNYW2Kfh7WJGwnh2HDvYrSxx/EX8uPIVMjP2ERM3yVpeVVlA0pENxMRNRa4Qno9arQvX3fosa3/4Hz999xpyuYL4hJm93k/iPEMSP+w4evQoBoPBetwbktuLhITEecWx9FrUjiqcaxyR1XY+yXuPQ9qNpBVidhWZd+9vgfjZuaRsiUDlZKKuwsVa7h1c32P9oiRvLrgs1/q5Mt/e9C5xXlav98urVFFVKMTqCBkhmMq21rWxYc1/UasduPyqp1j5xeO9Xi8hcSaYOHEiFouFhoJKvOLsY+zY4lgjp9VB9JO3dO6IytoGFvBU42igvXMxpQwURUFz88D62iV8WO9vsVCTn0J5+l7aG6px9PMnfNGleMQN5/777x9YowNkms9wAEKiJ5B2eA2lBcdxnzwe9+g46g9lsTnjK2oq8wAZL720nEceWdzNPU1C4lxCodbgM2YSxds30FZfiVbng6zJRqhw61QeWvpYSckAbac40iV89IDFW4WspvdYPwBtrYIb2/HKXLtzMrMFs6bntl28WnEI1duVZ7YIFh8xTmLWqILqsm7p6m1J1ZQzTSFYgta1dhdlFoYKAsaa0v0sCphod+2MhO5pwuN1F5CVcYCfV79KWEQCgUFx1NaUkJmxDy+fYC5afAcOWmcqi4R5gEKh5OLL78NsMvPjt/9Gq3UGJOtOiT8mW7du7fH4TCKJHxISEmed+uImdMGuPSq7F42bxq+HduGgUKPSiBOqFmP/cndFpjtVhToAFEozKqfed7lbksXHYZNXz0EX25o1xBlsz3WPJ3JXrCsvHbCfmBWm+qFJ8mTvhnewmE1cdPEDODkPvR+jhER/xMXF4eHhQVNhPpHT3DnRLioRtikrHWsGbo1kDtYw22GE9fMeZe+7N7aoKkURxSjrMsXvua4h3ELBxl+pPHIIXVQUYRcvwDkw5IynlvUdORsH71DKsvaT9/P3FKhUmA0GnHyDmXjBjfgFDeORRx4BJPc0iXMXU7ue5qICsJgpPPArMfNupK+RY3GUW105ZYa+37W2YqjFu+eYWO0mPbtLUqyfx3lFdzvvrNaiN9mrok3lWmSdXqouXt1j+pjNMspOyk6T2VKKpfPRFaIS3dAsTr27srg7umDq8nzRdT+3pnQ/IGarWhg3xe760qIyxk+6Dg/PCPJy9nH00DocnV254MLrGTtpERqN8FDzCRatTWRyOZdccT/1deXs2rYSeMquXYnzEItF+G+o2zwPMBgMzJs3j3fffZeYmJj+LzgNJPFDQkLirNNY3oybvzOuajG3fGmhsJOTWVOMg0Ld26VWJgcNZ2+xEDCtItO9z7rTER+suw4JJreyHmwHt/8Ywf7nhQnXxF/t44S0rZ6K+tK9ANw7wtnufH2e8H0CW13JSP6VxrpyLr387zg5e/D+m7f1+50kJIYauVzO4sWL+Xbtt4y+NmFQ18o6BUeZh7hsMrsOLMinsU4UU2a6CVYVe0i2q2ebanOYLFK8j8FA5ZFDuMfFEX35FQDsf+G5QfR+cPz31esBmLj0cXT+Uej8o3jn8aUsvPsvuIZF4uwSggEoYmiDrEpInAmMbS3U56QD0FJdTFttOU5uwmLcopFDszC2LU79iJ5dmw42rm/0JI7YNNNusN8QOFSdhdai7hZnqBud8bRksu5tG/UKzFp72cZ9nDAO6w6J6mmhoQacZDi0dP9OKmdByNhnPsGkjlgGw9oTe6zHC2NFIUQulxMdO4WZ864ccFtyhYLE8Rfx07f/prCwkJCQkEH1RULifEKlUpGSknLGNzRAEj8kJCTOAZpq2nEJ6T3F5clE+HewMb8zG0zQ8H7rW+otRFps/H9d+6hssBAxQfAZ/uoyN7vTJU3V1uPw6+3dXrpcXU6mtjIfD/9o6pQqVkvCh8RZ5IorruDDDz+kqay7uXdtm5jaOcJdGC+ZlooBtbmlPZXZDiNoa25FUSGKlT7TBTGjMlXX67VGhZkROmHin1HdcxwQuUqFysWVuowMVt97NwEBAT3WG2r2f/d8t89le8UYRGP/9ORv0gcJidOluTi/22ez3CiIHv0gdwRLhY0A0cuqweIiWFaoPARhwVjXQx2buECOtT3cW9/7DrZMbsGot7feKFbXA9BlR+k+rpXaJKdukdDbnczIWjszTZ30nfdpTgAwxzmBzZXHut+zj/4ArC3sjA3Sea/Rip7Fi66NHICAkO7PrfDO4K3Hjh2TxI8/AlLMjz5ZtmwZK1asYPny5Wf0PpL4ISEhcdZpr2/DQdd9B0jTGSCs1U10VYnw76A/4r3DSKkssH629BO5vWs3u8fdq07+8vgI5BWd0dwVDnbnUz4PofbpartyAO9hDTTuVdLcWIV3qJTaTuLsM2XKFJBBfW4ZvnPEyXjVZt2ArrfUimNljp/wm25tbKatuX8riOgLitH45AFgfK/v1E4b6mzcZ/6fvbuOb+re/zj+StIkdXdXnOLOkGGDCZPL3H13xpjc3+7ufGPu7r7L7piwDZgw3LU4pULdvU0bP78/QlNKBWsplM9zjzxIc7xrknPe5/v9fF00hAwdQ96yxQQEnBqjqmz58Omu3gUhjkrwoHhyljqeJ0y+FI/gCDisdI+iV+Hh2zSkdENt2626GsMO4LARoZpTx2iwWg7WCqpvWSuoXN/0maE6fDRri4LKteX3cnVJy1aW5dneBMQ0hbeN+6T4uaCqbOouqzLZ8ct11PyqiGj+eTUpeCAL8x3dXM6NaFnrA2iqedJK3aPtthwiiHA83+tohTqgd/s3Z7Q6x+/YaDzO4ceF6EbMZjMff/wxf/31F0OHDsXDw6PZdBntRQjRLRiNRiz1Ftz99PgaPY68wCH2/h0D9anOn/sHxbY5b6qqCFWVI0jRatoPREpzHa037n6kd4tptUFNJz27vm55p+bf59eyrMhxFrfZtamuh1dABLVlueg08rErupavry9+0T7kpxTh3U7XWrPN0rw/cWNQ6HJ0zVLrtRb89Y4q7knj89qdd3dVDvZQLYk+Ic7X0ilvNk/NgTQ8wqPR64+uq40QwkHr7k78jHPIXPQ7drsNfPVwSCig6Nt+T6tC1CgHy3G4+Dq+/yxtFC22GB3fb5qYluGAxqfps6TecvCmxiEfL4qvBsX94HfzYTcj7PXQYHO87120h9TuMh2cz80RgACoDeZmNT4UPxeiz3K05sz9oyk49cw5pDttUw87ABbmb2i3JgpuaueoVSqb0ubd9+1792C0NXX7Cad5yw9DbRUAQUFH3/JVnMak5Ue7du3axeDBgwHYv7/58NEy2osQotsoLnY0q3fzdYOiltNH6BPY7JEBwI69TV1KSvb4HnHd/Xxj2FWW5fhB3fYHp6JXo7a2P4LFkZoIP/RyMADTr85uMU2ncUGnc8NcX9NimhBdoefUeDZ8koJvfxPuQY4LAqtn03vEbLMc1XqWFqWAunmT73rtkZf946d4Ag6p5VMe1LIuAIC62LEuS4BCTU4mkeOnHdV+CSGaJA7JJWFwAKW7EynauQbf5H5tzmsxOS4N9G6O956xtPUipuBoSdFYn6MtjSOqVRZ5tZyoUjmXVw5vQeKiwl7f8srOatE0K34OENWvhNxdwU2rPTjkrhLY/DInalo5+aka/PObV1Y21jluWAyxR7NFndNyPxv3Ua92HHOL43D8syjL0RUmot2+tVBf7UiPrCYbKrWaZ1/6mqUbGqRosjijffHFF0RGRqJWNz/fVhSF3NzWu8QeDwk/hBBdQqm4D4Bf5qWgUqvwifIh0t5UDd1sdFwMrdPuPboVquFAlSM96ecb0+6sRb32Ne3HtpZNaAEM2zRs8s5ocx0eJSrq27lbBqA9eNfbBNRWFuLlH06FsbbdZYQ4GXqfm8Sun1NJ+3kx/a69FI2+/aLCPV3C2F+XD4BbQ9O8h3ZLa0t1WfP32B9r2u7uklnblICqDU2vGyvLwG7HI6z9rjJCiNapVCq8Y+IpWLMURVFQAUGDHd9HhmpHd87G4KMtlvqDXVhaCwAO0rpancFJa8ISyijVOW5kmMpabk9lURyjzRxGne84J9DEN01ziQC/UMcxRPUrASA/39c5ffw5jhHZVixKJCa50Pl6RUQ9saWO1hZlDdXNtjPE7ghyvX0dYc3yql3NpjfeCPGPcNzMqExr2WI1z6fpe/7c8BFs2JXSYh4ALy9/hgyfwepl3zFgyORW5xHdiLT8aFdcXByFhYUEBwc3e72iooK4uDhstiOfbxyNox/LTgghOpjZbOOlt7YQPToOV7/WQ4jDFWf4U5zhT397BP3tEY5PsXY+yfz0nvjpPXHrb3M+WmP3UGN3VWF3VWHY1nq3mME+8XiUqPAoaT30uOzG1pPpkuoS6qpL0HjJ8Lbi1OCi0zDp4THUl5Sx++v52MxmgofWOB95NWXk1ZTR0yWMni5hR1zfdpvjbmlgUADoVc7H4cHHocr9zViTK7EmV+LqbcHVu+0LJlOao2igW8PRfU4IIZr7cuZXxI50Q7FZqd75I4GD2m+JaLOpsdnUuIWYnY/WKK5q50Pram11Hp2bmbCEMsISmtfG0gceUo/DorQYVldVY3M+nPuVacdSo8ZSo3YGH4fyG210Pg6VvSOM7B1hePk3r/UR6ObDgV5rOdBrLW66ll3qJvj2Q3FTo7i1fqLhGW1yPsZ5tV7jY0S/gYzoN5BFB9ax6MA63H2aPsfOmnQFJqOBtH2bWl1WdCNKJz26CaWNYXvr6upwdW1Zb+94ScsPIUSX+eb7feTm1zL9voktpm3Nc/T3s3k2fRgWm9oPD+rcLUQr/uwqzXK+5ufa9sVSaa6vs0y8qrTlhZeqxoY93HGXe4itZX0Pd5OWejfHyVtrwUfBtkDsNhu5OxaASoV/ZMsaIkJ0hekR7hARjfa5CSx4ZClVG3/B5/xzj2rZBrWZST2GAfD37o0AnN1nWLvLVJd5UlPsaGru4uG4a+zhd3iFwyYeA6wYdjpOUcwNtRTtW4dXSCwardT7EOJYfTnzKwACEsPod9kYdn23hqD+vfCLd9Sg8PAxUpLhi094U3OrtgqeBsdXUZbXNBKa0kre0W9ovvN5TlbLUdOMlY6uNCpby4sdVZUVVC0vTxSdCt9+Ripzmre0sFnV2O2t35C4rYdj2ysWNX/dy7+ezHRHS5B4n6Zwt6ah6fjXuGxnjHVAs+XODRnufL6OJa1uc5xXH6yWI3f9awxAirIcwbGl/ui6GgrR3cyZMwdwtE577LHHcHdv6pZms9nYsGEDAwcO7LDtSfghhOgyz/+4n5BeAVhU8ZTmQoy+7b7FrQmPCCNK29QMflfqvjbnNVS5tfr8cGFjqlCpHSdk+btbFiFL8Gs6UdppbBl4FDY03aGyNBjI/ON/1JcW8Nmnn3Lddde1uV0hukJY3yBG3ziQFe9uxm9QKd6RTX/znsONpKYfUojn4AgPk8MGH3G97nWO0wuL0fF+aKhuv1uNX4jjLnSdvnlf/OrCTLI2/IpKpabn4HNxV0n4IcTxMpu0hI1IJvXXLeSt24V/ouP7rDit9SHaATQuTV1cguOr2pwvJL4Co6Ht97mrR+stRwCC+1RRurqVGxUeGhRXR4sLv7DmrTw8QkzYrC1bY0T3ctQRy9nXVDx57PR05/PdKSHN5s+sLqRf+MFWMNuaTWKNy3YAVFoXlMOyiYh0R7VoT53jfGJXyO7WDq2ZMW49WdOQ2uw1Q51jXGDXdm7UCNGdbdvmeOMpisLOnTvR6Zo+R3Q6HQMGDOCBBx7osO1J+CGE6BL3bi7FzVtP+YGqdudzr3Mhyd8xfFywT9OFmdq/7b4uPvqmO0NGa/t3UxoLo4WNaXs/VFYF07Tlju0uHttiuuKt4YeFjhCm39hM5+tF237DXFfOwNsvk+BDnHIuSv6YCyPvwzLAn/6/Z1D49wrGvTAJgI31RxdEnhXnuDNaXlbhfK0x+GhLa03VW1NrSSF95WK8w+LpM/xidHJxIMQJ02hd6HnhaHZ9u5SYCQPwiWrqX1+zv6lpeeNwtq3V7wiMrEbv5ggzzKa2Pyvy87xoqHWs092r+VD18cMKMNS0fiNCaRxR6rCRpYKiKzG3UpfEfLAOkc6tKWCJ7lXM15ktu7D2HegIR1bnJqAubB7INIzb2PTDntBm01RaWFh4cCjcsJZD4fYr7ktWraN7Xs+YeAxVrX/OjXHr2ezn9LSN6HRuhIYltjq/EN3dsmXLALjhhht444038PZuv2DwiZLwQwjRZdz93aivaGr63lDT1Bd30METgTpT203jAWwWK4ZKx0mGq4vjBKjGVN9iPo88MESCqt6OZ2XTCVFdK5+xloMncypryya5xf2a7u4o+1veLUv51bHf1dn7Kd25n96Xz8AnOrzFfEJ0pYuSP3Y+12o1PPfYGC657jcyNxYQP7zl3+tZ3n0orHL0188paGrSHuob2O52jGUHL4yOIksJjq2k8HfHyDOG4nzSfv6DgPgBxAybjo6O6+8rxJnOv4cjrM/+fRlqFzUq91AiRvbDTNvFwusq3XD3cdTR0Olbv6kQ2eNg0dG8liO7xB5SM8Q2rKDFdKWdUWN6jGhlBBZwBjCN39nmBh39/XTsrGweajQOJHN4Lxt7mOOcoaFWj9th4Yy5quk8QXXYx8/Cwg0kWR2ffcWGShL8Wn5mehwsmLoobS0AM5JGt3oM2Tkp9Ow7isDII9dWEqc5RWk+fHxHrbOb+Oyzz07KdiT8EEJ0if37Aigv98BUb8VU73JUY3iXFJcSEOAo0lFeWg6Au779i6IQD18ADugrULXMRJwqi5pSEK+AljPWV7e/HWvZwf3XgM1iJmfVYvx7xLL72986dHxyITrDhecmMHREOBs/3MLDFyfyx2+OE/dx3j2PsKSDt4cn+RWOC59gj6Y+/llUtrmM+tDm9LFN8ymKQt7K33H1CSJ6yDS2zHvumI5FCNG6xXe9icViYca5jvo+ZRlG3P3CMJSnk7s6hYjhkwnpd7BVw8FrqrrKtruJxsQ0b91QaWjZInPgwJKDz1p+D8YnlTufl2xsHpiE9ynDs5W6QMFRTZ8VpgZH6BGeVEpBWlPL0P5+jlAjxFXD7qqmIESjgpzDhrlt1FCrpyDDEWiEH1aY1TvIUQvEblVTW9Ly95FR6Qhz+kTEc6A4v8V0OBiCHExhVNtsTB80lqrKEkqKshh79uWtLiPEmaShoQFFUZw1P7Kzs/npp5/o3bs306Z13DD3En4IIbpMcUo6QX1iWw0HsqscTVNtStMFUu+o+HbXl1fjOGEZdFNT/96CeUNbzFcX2bROVfbBam2t3XRppeVHo9py96bbSYcp3/cXNlM9SRdeKsGHOKWp/F9z/Av8+4lCZp33PV9+uoPW3xAOOk3TqUNmqeNEX69pv2mHyqLgFtx2n3/nfCY7xSlrqS/OJ+ncq9n6vxeOfBBCiKM2d+5cli5diourB55BMcSNPA/FbiN/xwryNy4hbJgfvvERlGe3bBbp7ulo+RER3s6dBMA70NDmtJ4+WkYGOb5blxQ2nxY83BGmaDQtR2XLTHF0f406WNMDHN1vGoUnlQJQ3KAmxK2p1UZfXx0vfRLB+JlNXVIB3AObt/Q4VEFGIFEDHOvL3d689pdXsCOQyTUVElXQ8nMyLiSCvVkZTS+0Pngci7etpqb4AAAvPnUzCQkJbe6P6CZkqNt2zZw5k4svvpjbb7+dqqoqRowYgVarpaysjFdffZU77rijQ7Yj4YcQokuYagzU5JZw9W29WVfkuJOi6I7+U9zTw1HXI6es8AhzOrg2lSTA6NFyumlP0/PgGY1D5DU/+cvcFoG7b/Ph8xopHhpUFVZM9h3krd1G/Dln4ebfssq9EKeqHr0CuPr6ZN55bRPxlw3itjvq+fqNpsDCR+24GxPp3X5XF41Kg8XuCBXdQx0XGEobozEAlGzxpnSF401ZXZdOweZlhA4cg1d47IkcjhDiMFarlbfefpuA+AHo3H3I37GC8H5j0Hv6ETFgItUFaeSs2Y5vvCNo6Hd2JtUlR6614611vL+NB4e6NZqbX/HHeLrg4dKyVcjkMDde/sERLjQGH4fS6lsOJZO7L8TZRaWxlaZiVzkLlQMUHyw8HuLatB8rFjhunoT3LW9Rx6SxjkhMnyKyD6v1ETWgFPeNfQEoiG3e/SY3vJDI/ObzHy50cJXzedFaH/Bo+Xuw2+0tXhPiTLN161Zee81xQ2b+/PmEhISwbds2fvjhBx577DEJP4QQp7cbplhZ8bgKs7GVcfIOoVGpqbc4AgdjbdPdJpd2RobZ+FGs83mwe9vr17jYsR0s6qaqbXmnKXpUCbqDJ19pm6JaTHf3NTpPuOrTtZSmbiF34x8E9U8i9Ze/cXGRj1hx+ojy0vPCE2excU0e1evnYb3pyEPfatWO90+IZ1P9m7ya0naXKdt/MFRsaH7CX5m3jwMbf8U7KpGwIeOdozwIITpGYWEh5WVlJPY5G6/gaIpTN1KwazVxI89HpVLhHZaAsSSVhD4lhB3W9eNQtZamoCHCveX71FVnw1XjeD3Gs+X34PpSR3ixemWk8zWryUxFWj4lqTbsVhM2swmfgDKwK8RPjCc8yRG+HtpFFWDH8kSSJ6S3GrD+uNvxmkeICUNx00hRpgYtA0Y6Rmvbvr75d3tMH8cIV7UVLbvHBB3S5aYgveVocI134V2nOu6mGP/s03Ieg50e3o5waWdaClqdG/Hx7bdqFd1IN2qp0dHq6+vx8nJ0f/vzzz+5+OKLUavVjBw5kuzs7A7bjpyZCyG6hFanISjck8LsajjYQEKxNV0MJYQ4Top25qW3trhTdGAY+wodH4qNd5tbE+DqTb67Yzi7Q4fua032VsednKRReS3XE97UzLbi4EmYzWIhd+MySvdtImjAcIq2rkOtlgs3cfpxc3Pho/fPYeyEb9ixPBtwXBh49LdSvd0RPtaUNd39jPEObm01Trq9jhOZyoCmO62qVs7+SvJSyF3/O349+hE9eSZo2mgrLoQ4bh4HW0xajAbULlpCe48kL2Up0UOmodHqsDTUoXVrfmngE1yH+mDI730wP6htpd5pyj5v58gujSOqHGpjWVM3Ex+tGkVRMBSXUJmWQW1OBlWZBSh2Oyq1GrVOj0anp0avR7E1sP+P/YT0jyZieALGBh+8YyKI7tfAjuUtR0ipsTi+3721zb+DPUJa7+YyYGQulTUtb6YcOjSvdXwKLisGNpve2P0mvdzx+0owtmwR5zp1Dz1yLnH+vIg1zueKYicncythkb3RyOfdmUG6vbQrMTGRn3/+mYsuuog//viD++67D4CSkpIOHQFGwg8hRJcYEeRGnx7+NBTWOcOPI9lXloPF7mihUac4WoMEadte2OKjIl99MKxooz4HgLvBhYa4Q06UDquxlv53GAF9q2mNuc7Azk//i7Gymohx0wgaMFyCD3Fa8g5wNDcdMx40Lv/FxWjFo3/7LbMaFdaW46lzdF9Liox1vr4lY08bSzhGXlIUhcLdqyjcs4ag/sOIGH+O1MkRopP4+/tz9tlns3H7Vvxj+uAVFA2KQkN1KVpXd6rz9zPsuv7o1CqGhDsuEdYUtT1cfEOtnpSctguiFpfp0ahMNFQb2fxzKtX5tVhNNtxcXcjbVUJtaT1qnQv+iVFEjJuKV3QCel9/Ag8ppKrY7RSn7Cfr7/Vs/cQxJKZGp6FsQk/00d7ovH2cIUjyhKabJTUWe6uFyqvLHN14Mm2aZgVXAUJ9HOcXRdUtwwjr+BS0Osd0i7Hl5VOGaxmjL9wKQP6B1sOMab0cxWStZiupe9dRU13MiPFXtzqvEGeaxx57jCuvvJL77ruPs88+m1GjRgGOViCDBg3qsO1I+CGE6DK+fq5kpFXi0qvltBU1B4eU1Ta10vAy6dpdn8XtYASuaz98aByuD8B2oJUCIICuyEb63y2LmeWtDSBydDl5awNwj7eQv3oj5joDPS+/FbeAVprBCnGaefbZZ7FZ7bh5tN61zM+1qQZAuI/jbmdNQ9sFDgFUh3ZxOfj2tFnNZG9eTGXOHsJGnk3I4NGoFNj61pMndgBCiDY9++yzjB8/nrTl/8UnPAmA6oJ0yrN24BnkzoBzk9pcNjff8X15eM2MQ9VWuFNcpsdus1ORWULaD+nsXJgGKhW+Ud4oLt6U11nxjOtN0sVR+CdGoHZx4aWZJsAGlHL/T02hhUqtZufXi5n8ymzsVhse7qUcWL6f/b/vxVL/OmNvHojBeybg6ALjonUEFMMmNhU4ddnjgUqlwtK7DnDctNi3fC1LN6ViqTfhE+FD0jk9CbskDpVaRaiPjRKD4zPLZGh53qF1teLj3XYBZ8Mfh5zU9G45vbgwkxV/f0lMXDIDk1sfAld0PyrF8ejodXYX//jHPxg7diyFhYUMHDjQ+fqkSZO46KKLOmw7En4IIbqEoihsWJePzb0XU0whAKyt2N00Q1D7o0f4aRwnYaWmQ1pkuLZxx9iioLi1H4i4ZatpsDuaxepaKc9esdsDfYTjZChvbYBjtfUNFG5OIWLkUAZe0MB/L5WLNnH6KykpQavXYOoTjDazqeWHPfzgHd62SwEAkJHf1De3NtrUYhlFUag6sI+8dX9hNdUTN/Yi/KJ7s+WdpzvqEIQQbRg5ciR//fUX51xyGfnbHS0pivasJSQ5lhn/Nwi9Z9PFvsGqEOPV9N25o5X3vqGmqeWH4eCwuEU78lj35jIsDRa0HnoSp/UneMgIdJ6O6Ye2yPjrAcdQ1jsONC9m+Nec15r9rFKp0GhdsCghRI4PIWTYcJY+/AGrP07hrMdGUVfXvAvepmXxWMsVylMXUL2vlsGTb0K71xP6ZLD5wx+x1FsIiOmP3tOX2pIsNn24juq0Qs77v9Go1E3nEnoPM3u+iwYg6cKCFsevHNKq1GhVcHVpu+VaaVEpu7YvYcPa/xEYHM2U6be0Oa8QZ6K0tDQ++OADMjMz+f7774mIiCA1NZW4uLgO24aEH0KILnHBzWYKC+pIPOsIhb7c1M47xXXGphYbfrTeYgOAQ08+TG3X96jNdMWtz8FiqrtaOWE5ZFF9VPP1WI315Pz8HWq1wpBrYtreFyFOM/fffz9vvf0WGaty0US0LPR7qMYuKnXmhnbns1nMmGuraKjdQfG2PTSU1+AdnkjU0CnoDymWKoTofOPGjSPu/EvJW7aImqx0Jj59JR5BPvSKbmrBZWhnqPeeoU2haPFhdQgVRWHvryl4hXsz7KbhuIeGodaoqS5rCknWPPlcq+tNjnsPgL/mtJzWGIac8+a9AGjd9YyZM5FNH6xh64ffM+SOy3Bx1VOV5YHGW0FRFPLW/0Xprl2oXDQoioJKpWLfT2uwmRX6TL0JnbujjkBw0lAqcvawf9kCUsdFEz86CpNBh96jeeuOCP+mFi/LPo9l2NVZLfbTaFXoFeG4UNuXf6DZtHpDFRvXzScgbgBRg6awrbQASguAi1v9fYhuRlEcj45eZzfxww8/cM0113DVVVexdetWTCbHzZPa2lrmzp3LokWLOmQ7En4IIU6qoZf9G4DqokxUahdHn+NGh9xtoebg6Cu+7RcC06uaPsaM7QyVq6qxofg41lWb2bwfcFVmFlpLOBqtnr4BMexqaFnotGkfHcFH6qIvgHomPDIVV++W/YqFOF1FR0ej0aqpKzHg4xiUADcvI7p8x+gHPcKaRmior68mLXUD5bUVmM311FWX4u7lj49fOKggY/UO7BYzNdlpoIBGryNscAKRIyZhLmlqD77lm2dP6jEKcSYzmUzs/fJdFLud0OQxVOfEU50D9GvZfc1Pr2ZmtBe1tWZW/Z2Buc7M6rW1VBbU4RXoTgXxaHRa3PS5FOzwwVheQvneEsY9NIHAHkEYDY67F4e35DhcY/BxJL/f84bz+RX/uwHvCB9WPbGIXd/8RvL1jqbxxsI68jcspSJ1BzpPH8x11Vh7VaDYbBTOyyRywERn8NHIP7oPJekb2f17BvGjHaFvY5cXdbQae07LGymbvo7lklsdAccP81veme4VEcdfdU1FTutTNqNx0RKZPAGVWoqcCnGoZ555hvfff59rr72WefPmOV8fPXo0Tz31VIdtR8IPIcRJpygKtZU7COobSfjkemxbj3KM++imjyz/CseJS31t28NqKnoV6A+eYLTRErVqr4Hd332HVufKzEsfx2yqd94haqQyKejSHAGH0c1E7ro/sBrrOeelGfx2zw9Ht+9CnEasJhubv93F6PBE/BJCaXwD2W1WiooyKCvLITd7J1lZKaBSoXXRgdoFN+9AyipzMe9eAYBbUCjmmirc/H3o9Y+peEeG4uFnZ+Gdb3fdwQlxhqutrUWxWQnqNZTgPiNaTF+0MpgvrnW0irQD2VnVXH/1L2RnObqZat21eAT5UF+eh7luh2MhFag1WlQuLgy6ZjBRw6P5+pIvOv1YiguS+fcL9fz7n38yKzaTt7eHk/rjp6jUGoIHj6AkZRMRY4ag2GyYaw2g2HH3a1nPC8DdJ4zitDzW/BBH4vjmXVzU0Wr6+znCkJ2VzVuEVBbV4V35I2/fV46LqwsqLwMXJv8DjabpnMVQVMTuHUvoNXAK8X5R/PDpfQy99N8d/NvoWnfd82Wzc6e33rimC/fmFCSjvbQrNTWVcePGtXjd29ubqqqqDtuOhB9CiJPOUJZHTW4ZPS8Y2eY8YS6+ABSomqq+H2kMCKWx5kc7I7sA6MNszuf1pY7m+hazkflfPwyAp1cAfr2H4hfRC7OhGr2nH4pWR2VRBpm7l2EoyyNu1EyK1vaEe46wU0Kchq55dQpfzfmLtS//jEeIDwOvn0RFfgnZ25ewqb4aVCrcA0Ppf8VwIkcmUremacjJWnczNosJu8WMS4APiqKw5a0nZRQkIU4Rvr6++ET1oDR1CzX5OwjpN4mAHoNYtLKpboaiKPz6SxqvvLiB7OxqYuN8WL70SmJifJizwoJKpUJRFLCWYbfY8Qj2YN+vTd1Yv77kmU4/jv0bHS1HwyIcQ2ov+S2dsMqdVAbpCD7ndkr2bkSj1dHHp5IdH33G1wsuYcobKhqqivEKatmlr76qGK2H48ZKXWXbo9j099ORf4EjHNmzMofvnlqFRqshYkAI9eX1FK/5gY+2ryfhgquIagikLKqK/NVr8PQOomf/Sc71bP7f3A77XXS1K664gnnz5jFi5CUMGz6zq3dHnIbCwsJIT08nNja22eurV68mPv4IXeSPgYQfQoiTrjhtMx4hvgT1jqJsqR8F0Y4qaprKo1+H7eCQt0YX2yGvtt6MVOthQ+PSeusSt4BQQgeOpShlNQDhY0bTkF9F7qY/yd34h2MmlQqdmxfm+hrc/cNIPGsWPuGJra5PiO4gblAodXV1jLnrEjL+2MyaF34EwDssnrjpl+AWEILaxYXYYUUA1B2y7JZPOv+iRwhx/FxcXLjwnWHUV/Rj65cpZCxdTFlaCv4Z4YAKjV7HdX/ksXJFDlOmxXHVtf246B+9iA11jPSkUlkP/qvih1t+cq53yK//6YrD4c2FPQkZNIZFP67HZLTx8JNjGTA4i8s/XQnAX4scI7+kpZYTOSyG4t0b8IvshdataeSqyrxUDOX5JJx1SYv1hyeVYrfZca8zklpYj0arxmb1xFjVwKKnVhE7KpKz7xuB1s1RqL1oTym/PbqC3BWLiRp+DT4ZeqrTMug5aBo/ffEgl9zYfheg01F1taNV0Ib1P1BfX03ffhO58x5Hy5933ryuK3dNnCZuu+027r33Xj799FNUKhUFBQWsW7eOBx54gMcee6zDtiPhhxDipBp3SSrb5qcSlTyV8uX+R5w/vNaLAm/HpZWnX33ThHZGnHD1aSpKZrO2fbc5OKaCBn9XgvoPIXBwEhm//krhuvUkTb2G8EETqDMUovf1w1heivFAPn7hPfAIj0WlUrF5Xve5YyPE4Z6c8CUAYUN6ENQvlsqMQuoy/XH3D0Pl13Tq8MP1HzqeXN8FOymEOCHu/m6MnT0KjX4sBVuXU5uVjmK3YzFaKXPRM+yf5/LBv5vXsggMfp0frm9/vVu+ODkB6JaXHSOsDfnnY0SMPJvg/sOozk7jwlnhjOjzkXO+sIGhFG4vIjO9ioFXD2PJYwvZ8+fHBMQNQO/hGO2lKi8Vv5698evRC5UKrh7taBX65Uodqb9uIf3PHfxmtKIojhspbp56PKN8UbuomwUfAKF9ghh2dT/WfpyCqX8dWalrsCs2wmIHAPDDp/edlN/PyfTGG2/w+x9/otht7N6zip07ltCr91jOnnxzV+/aqUO6vbTroYceorq6mokTJ2I0Ghk3bhx6vZ4HHniAu+66q8O2I+GHEOKk2vJbGlo3F4Jik1tMG3tbjvP5ym8doYXieYSiYLqmLi5a77Zrh9isagIjqhzzuVpbTPcICyPxwgvZ+dHHeMfXsOmdzxl87+OOaaGR6PySWf+93NEWZx4XvY6gPjFsfvfNrt4VIUQH+fz8r53Pb3W5EhiD0dz0fVtR4Oj+cfcvdn67452jWufJCj1abPfdpxjyz8fQengR2Gcww3s/xU8/zeCR7z/DJzaS8q1/UpgC7727DY1nCaPuGU/60kIKt6RgbTDiHhRA/Lln4xU9ikNKVmC3K+TP+4V96x1dXILDe5DY+yy0Ojfys3eQsXcV7v5uuLi2vJyKGR7Omg+2ojGVkr5zKeMnX83ooWNO0m/k5EtKSiJq4GRytv5BaM/hhLn7sm3LIkaPvaKrd02cRp599lkeeeQR9uzZg91up0+fPnh6eh55wWMg4YcQ4qSx2Wxs/yMDr7C+JAY2jfKSk1dyVMvXFLgT0c9R4NRsOxhgtFNGQKu3EhDhaDVib6MFiG+wo6aISq1gLnY04a/OLsJudwQpW9948qj2TYjuaPFdEngIcab5cuZXXb0Lx2zLu81Hg7jwwgu58MILAcjOzuay5/5BXYmB9KXFrHwhl6SJV5J80Qz8BhuwGB2FTGuL1FgPDniTsbuUD55cTV56JSqVmvDo/ow6+wZnQc/gsCT8AqLYtOobSvaXE9IzsNn26ysdBWMPpKfg4xvM2AmXduLRnxqC4gdhrq+lYPcqIkZchN1u40DmVi664VXnPD991so4xmcKafnRJovFwtSpU/nggw/o0aMHQ4cO7bRtSfghhDhp/v77b6pL6uk5aMAR573p9nwAFm72cL6mbqNuR6PGLi6uHuZ25wsOr3E+rz6kqFlg7xhiJgwibeE6nnvuOQk+hBBCdHsfTv+2q3ehU8XExLD+/U0AJN/+L9L+9ykFO1aQOOEyKrd6oDLb8Rh4SCH04gKevXUx7qGeRI6IIG9DPr0HTm02kglATMJQdm7+lZTv9zLtP2c5X1cUhe0/7MPdy4+8rN0MGDoF1RlQ8Nl3hAmf4cPR/FTHpnWOWjDr1n1PZNFgfAMjiYgd2LU7KE5ZWq2WXbt2tXiPdQYJP4QQnW7ILY9is5jJXvELrt4BuAeEO6ddctc2lhU57pD08dU5X7ccYfTbykRHCxDVzkO6xQS1PLmoKfPE3ceIWtX+Ckuy/ADwG3g+hduyKCtrp6iIEEIIIU4778+p4teoPjz/n5VYjAa0ro4bLIYUDRMT+wLw0YKv8Aj1ZOrcKfx4ywIAPDxb1ihTqdW4e/pxYF0uKT/sJWZ4OPWVRrb/mErW+jwGjLiI7Rt+Ija+ZTff7kqlUtHzorOpSq+gvrwQq8VE+u7lANTXVgD3d+n+dSlFcTw6ep3dxLXXXssnn3zC888/36nbkfBDCNHp7FYrO799HbvFzD/uHcrUqwrx0xUf1bLnDjVQZ3UEFztLmj7kq0q82lxGq2+q6dFafQ+AzN2hAFhMzT8GS7asxVxdyXnnnXdU+yeEEEKIU19V2X308XfH+7wknv/PSlxDdxMxNJ7cRU3BRn19DbW5Bxh9z0jK0sox1TlakpYU7ifysJYLZlM9VeX5ePqGsf7THaz9aBsA3r5BnHPu3bi46NgO+B1yw6c7W/JAU/eWvruq2PPl5+iDwrAW5wFQnL+PoZf+G8Wn6aaV4tH8ptXW16XF7ZnKbDbz8ccf89dffzF06FA8PDyaTX/11VfbWPLYSPghhOh8KhV2i5mQAaM5+7K2h4hNqTDzTFkWALuGOu7ArCsztbvqyGkVzucNta5A6yO82BW1s4CbqUHXYjpAXUEuBav/JmzUKCZNmtTudoUQQghx6qsqaz66SmSEFwMHBJP74zpevjyUL4KGAfDo/euY8x/H6DaeQR7O4KN3cjC7tvyCl3cw3n5hqFQq7DYrW9f+D0WxM3jitahUKoyludRUl+DvE0h1VREp2/5Ardbw4F2TiY2NPanH3NU8IyLwTUzCWm8mfuos6ssKKdq2FtXmRfj3HYDeJ4DKzD0UbV+NzsuHiLOm4BkR09W73bmk5ke7du3axeDBgwHYv39/s2kd2R1Gwg8hRKdTazSotTpc9O64uKh5b14MvzzQFFrYDn54T929r9319A9WUWN2tALxG+GoCZKT23YVaDcvo7PQaVm+b6vz6Nwcw+Ja6/LJXjwfz4gIIsePO6rjEkIIIcSpzTfwtRYByBdfnc9ll/7MhTPnc/HFOxk0NoLauliefSSN77/RUbijiPjxjiCk/5AQ0vbs5s+fX8A/KBofv3CK8nbRUG8gNDYZQ00pmbtWUF6YBioVarULOp0rwcFxjJtw9RkXfDTSeXtjrMjFN64X3lEJqEwqyjJTKDuw3TmPb1IfqtL2UF9S1P3DD9Emi8VxLt5Y8LQzSfghhOh0LkEKWk8PrPZq3pt3dEO97axyfBBOCHF1vvZLbn27ywzsXw7AnvS2u8QA2GxqFEXBXFNH2a69FG7ZS11BGVovLxIvupA+o/OOah+FEEIIcerzDXwNgKLiewEIDvbghx8v5tVXNrJwcQaffLKdu4CQYHfCQz3Y8/NegnsH4RPhxf8+2+lcj81agsVSg3+QmuJ8uO4SV1545WO8/MKJHXk+flG90Sla5/xphuqTepynihETsij5uxB7sJ7Q/o6bXWrGEzr8LBoKCzHVVaPz8MbmYqYqbQ/eYXGozN2oGUNrpOVHm6TgqRCi2/GOjqb6QCbhrTSq+O2AI+iYegzr27srCICzhpQ7XzMcUt7DbrWx5aO/QFHwCNCBiyummgZMVQYM5Q2Yauqwmy2oXTQE9oln2A19iRgchkZbeTyHJ4QQQohTXGjIG87n+XW3c8fDI7n9/0aQsb8CU349e/aV8ceSLGwWO38/tRwAtYsKFIXAYA+qKoxUVxpRqaBn70BeeGUD/3f/CB59eDRqtYqx/9RA66XGur3bf78KALvNTs6aXPJ3lRAzfmCzeVRqNe7+Ybj7hwGQuf4ndN5+uPoFHr46cYaRgqdCiG4lqE8spdu340IBbv6+PJVy6GgqbX8UbS43c2mcDwAzIppe37Ct7W25epixma2Up+bh4uqCudYds8GK3tsNV18PXIPCSOqr4BPigW//EPSeOoyWzk+bhRBCCHFqGJLwPgDW6gcYGNTUYvSZx85i8bYCPnxrC/t2l6FSg5dGjRUVkSEeeHnq2LW7lJJiAz99dyHnTIl3Lrv5v3ObbWPkrP+cnIM5hSx5bg0H1uQSPTSM6LH9WkyvLcriwNoFKDYbNouR6Annn5Q7/l1NpVJ1+HF2p9+bFDwVQnQbrh5mcjOyUWu1aHTaNue7xz2BSB9HG76H0h3FjmxThrW77lVbAvANrgXg4r6OZTMLQaNzISApGBSF8Q+fA8B3V34CwMNLr3EuX2luPgTu5+d/fSyHJoQQQojTmIvPy87n2zJvByAy2punXprIoPj3m2asecD51JBbhkqlQqtVo/V7BWNl60O4rv/+mc7Z6VNYaVo57v5uRAwOQ8EFm80xuos+3AbAvt+WMLBfb2bNmkVAQADXX389Go2mvVV2C2pUqOnYsELp4PV1JSl4KoToNmrziyjcmELi+ZPReTqS3JFBTbU8JoS6A/DR/iP3jW0c9jY0ztHdxWhofeQWxa5QkVlJ6NBkZ+jRmvfP+eboDkIIIYQQ3VqzsONw3k0hiU53EwCGlAx8k8DV75XO3rVT1uPLr23284Q5o9j1SyobPk0BtjP0nxfhl+AY7lex27GZTMTHx/PQQw+d/J0Vp6xly5adlO1I+CGE6HQlm/JRu2jx8h+G9RgKWvmdPwrrIbM3Bh9tWVLY4NhediSW+gYshnpc/XxazPfc2V8d9T4IIYQQQpz33p0A/HbHO2iTPqHq+wkAzn8BmDjIWVz1TFKQWk59tYlvHloC58DjI66lvtrI5w8tJW3BEs5/YwYqtULmn5sxVVVz6623dvUun3yd0O2FbtTt5WSR8EMI0enqK0pw8wtGpVYDthbT/fSOrjDP9PR2vqYZOqrddY6NcDSRtKQW89dv6QwfG0malz8arQbFbsdQXIZGp6UqI7vjDkQIIYQQZ5ykGcPIW7cX90Afev2+hfBhSbgH9OZfdZtYvbuK3FIjppAAplgyOWfqfRQZzAD0inmni/e8c6zdfxsAFrONv97fwvrv96LWqMg33sDHVz5CYVoFoQl+aN21GMrqsdvsVGcXk7ZwA3GTBzNp0qQuPgJxKlq1ahUffPABGRkZzJ8/n4iICL766ivi4uIYO3Zsh2xDwg8hRKdrqCjGMyQSxVtDY/hRZmoZgrTGRYWj9UdFDePCmsKRA2kVFGRW8dS1vxEQ5M4v/9uH3luH3lNHbbEBxaYQkBjA8OsTOuGIhBBCCNHdfbHlRgD05QWoNGp0nq6k/76F1F824OKqZaHRglanwT/YHcyVrF6dyzlTmwqg7su+s9sGIACLf97Puv/tpfeFQ8j4azeb31tAjye/xEWnYtSlfSlMKeLsR8djqjGx/YuleEUGknTuyK7e7S6hVqlQd3BLjY5eX1f64YcfuOaaa7jqqqvYtm0bJpMJgNraWubOncuiRYs6ZDsSfgghOpXJZMJYU07goPYLlx7KUlqFpdgxLryLn1eb81ktjgDlw0+m4+6uZeGCNMxmG9vsOrwjvAntF4pK3X2+GIQQQghxcjQGHwA9Boewb0shSbdNp8/l06hI3U9DeS3+iWHcNssHnd6FHz/cxoofU6kwWpzLdefgo6yknp/n7cU/IZie5w9G4+bN3h9XkTh9OFkrdrB1SSEAS59egVqrwcVVy9gHpuLlb+7iPRenomeeeYb333+fa6+9lnnz5jlfHz16NE899VSHbUfCDyFEpznrsieoqywEux2dlzf1JYW4evujUqn4cXGkc75zIyoBcKs6csFTvYsagJt6BlAT5slcYOf2Uq68pi9DB4TQq4c//foGAeDh3zHDYgkhhBDizHXudf3Z9NcBUr5Yxsg5lxOc3I/KIi+sgE5fAECvUA9+q3Fc2Os0KsqMFjam38bwxA+6cM87h9VqZ85Ni6iqbKDPjZMBiBzVl4iRfTBW1nHg720E9Iyj36VD2P7lKqLH9qTn9H5o3VsvUn8mkKFu25eamsq4ceNavO7t7U1VVVWHbUfCDyFEpzjrsicAqC3PA5Wayp07qTywG1f/IKInnIdf77CjWo9he4bzufekwc7nGpsNPw8XRo+K4IlHV/Le25spLq4nMcGXjauvRafTYKiYIwGIEEIIIY7ZdUM+5YaFVzl/7nvjYP54ZCk1eSXYdUnO11/7LpyHL8rhiy93EhLqgaIolJusXbHLJ82Vd+SSv7+CnpffjF0fSEkW9Bieg6XewuI3lqDWu+KfPAa7mzv15Yu7enfFaSAsLIz09HRiY2Obvb569Wri4+NbX+g4SPghhOhUNeV5uPuHYCjNwyssjtrCAxgKc1uEH2a7HcXU1FTUUlzZbLprfBhKg8n5s8rFUfB0xYJL+ODbPdw1ewkA6RlVrNtQwPizojrrkIQQQgjRzR0afAAE9Q5CpVGRu6aU0AFJaPwdrz95ZQG/fZdGbmY1uzdcT4KPGwnAxpLabtHqY/yzjiFpG2r1AJTt2kHB6r8I7D8U9+BwwNHaxW61s+z51dQW1tHziuvRurt31S6fktQH/+vodXYXt912G/feey+ffvopKpWKgoIC1q1bxwMPPMBjjz3WYduR8EMI0alqy/PQuLlhrqvGN7o3tYUH8NJHNJvHbG8+hK1it2OrrXf+7N4/rs31p+ws5YVnVuHu7sLMGYnMurgn50yMcTQv9HqpYw9GCCGEEGekPYuT8E8cQNHWVfjG9iJphA2bxcYN1yyheEcOAL17+jvn7w7Bx6GsDQ3krVhK6fZthA7pR9KFZ6HW1DN0WCEr/whkyZPLKdpZwpSnJlJZG9zVu3vKUas6vkBpdypr99BDD1FdXc3EiRMxGo2MGzcOvV7PAw88wF133dVh25HwQwjRKRrUjjsBap0eQ2k+qNUorqB20ePuGwKA1exovZGsdXx6mw4LQQ5nKapAG+pPw+4sADbV6Zl28Q/0jfbgt8eT6X/d+GbzK7UPSgAihBBCiGP22bnfOJ8PufVRACJHTaWuMIecld/SUBpBeVohdcXVXH5pL7w8dTTYFdw1KvB+uat2u0Occ81zzudKkp3CzdvJWrIWxWYjZso5xEzo26zeRM3mnyncXsx9b06h74gIoIAbh37aBXsuTjc33ngjb7zxBl5eXjz77LM88sgj7NmzB7vdTp8+ffD09OzQ7Un4IYToVJfO/BcGkwGbzcr6NfPwC47B182LanPLat/6yCBMeaWO5/FhmDILUbloaNibg2JXHDPtzkYX6gfA/C+2EOKrY/GTA9Br1VQv2oDPjBEn7diEEEII0f1t+fBp5/OJMZns+m4t5fsLsRjN/PTfmUw+OwYAd7/uU2fMUFNGad5esn/egLGugsB+yUSOPxutpycqlRFFUahMy+KnX9ZTsLsUxa5QVVp/5BWfoaTgaeu++OILnn/+eby8HKM7uru7M3To0E7bnoQfQohOsfm/c7nltvf57JN7UKvVREb3p7gog7h+ZwPgk6ejOtIRgIx4K4h1t+QDoA30wZDiKHKq0mnhYGsQlVrlDEDMRZXoQv04UKcieWgEem1Tn0dp6SGEEEKIzrLsie/hCcfz+so5zte7Q/BxxS1voyh20nf8TcaOpag1GnxCEkgceRGRM90BG1BN/x7lfDP7Twr2ltG3XxBXXtobF62aOVd8TM+ePbv6MMRpRFGUk7o9CT+EEJ2mtOQANpuFfv2nkZ+/D7vNSnh0X6pcGhwzFMHjDxa3vxK1Gux2VFoNKkDt6ii4Zao1sjWlmKsu7Y339OGdeyBCCCGEEIfpDoFHoytueRuzqZ71y7+iIHc3icmTiOszHo2LllJbDaVrIWaqo3XuigXFFOwt4x/PTODl65u6wESHS/DRFrVK1Qk1P07/lh9wcluwSPghhOhw/7jxdQDSc3ej1bkyaMRFDNO4kF9TilqtoU6parHMYqOK6a6O9FcxW1DptHhPczR7q1m8EYDskgYe+3I3B4qNNJjtFBUbuOaKPiflmIQQQgghuqu62jKWL34Hk9HAuGm34R4U2+p8iqKQ9vsORo4M571bBgBQb7WdxD0V3U2PHj2OGIBUVFR0yLYk/BBCdJrK0hwCAmNQqdTY7HbUakeB0zCVL4UHA5DPNmv44Vy9c5nqv7YAjgCkkff04bz78G/836dp+HlqmTY8GJUKbj43ivjKYiAI9WleXEwIIYQQ4mQZeum/nc/tdhupS7/CRaXmyqvn4u0V6Jy2tmhPs2FF8jZmUplZyv+9fAkAgcGvn7R9Pp2pDv7X0evsDp588kl8fHxOyrYk/BBCdLj5n85m+qWPUVacSWzScFJcHfU8cAWVqXFEFw3RwxxdXi5ZaHIGID5ThjgDkOpf11E8diBe+RXM+SiNi0YF8cqtSXi5ueBz8bKTfVhCCCGEEN1OceoGjNUlzLr8cXx8g1Fsh42+d7DmWv4e2DFvM33PiiI9xIP09Erul1FtxQm6/PLLCQ4+OX9IEn4IITrUude+SG1VMeuXfITKRYs+utcxr8NnyhD2NzQ1ofzvrxnY7QqvPT+RQD/XjtxdIYQQQogzlu9wI2WlBlQuajas/wlXvQe+vqH0T57E1qocAGwWMxWVa8j7YTMubnrOv2tIF+/16UdqfrTuZI9YI+GHEKJDNRiqWP/n+1jNRmKGzkCt0aHOM2GPdLTsUPRqwns4CmZZjC68O9MxUkueVSHSpfUPQBcXNTabwt0vbuXt1ybj7a3HUjEHD//uU2hMCCGEEOJk2fy/uQBMfnkO0ROGYjWaqaupxlZvJiN9E9u2LsIvMBq12oXK8lxM5jpiJgwmfMwoAiOrALh/9BddeASnFxnqtnUy2osQ4vSmKHj5hFBVnkfWpt8ACO4XRUTkjQTFVLWY/Z8L7K0GID383Nhf2UBkahY3nxWA/yczuHv2EsZM/IYrLuvN0MGhTJlRh6en50k7NCGEEEKI7mLyy46henUebvS6ZBIAo6yTMdRVsWHNAvKy07DbbfgnRxE/ZRhu/t78Mft1Xll7XVfutuhG7Hb7kWfqQBJ+CCE61NIfn2PoP8BYW0Ha6u+wmGoJHRhLdL8iGmodXVYsJi1avaXZcpGeB4ueGs3gqgMcAUj9wekXR8KgZVfx78dW8v5HKVRUGLn0H8P47vu9J+vQhBBCCCG6rVHWyQB4ePoSlzSeuKTxAJT22d9sPmnxcezUdEK3l25S8PRkkvBDCNHhTHVV7F36OVq9B+MevhDf2CAAgmMqUOxNH9QJAY6mbp/sh8cHHyx0dDD4DKuYvQAAVPlJREFUaOQ+sjdPbi1x/FBrZd5XF1BcYqBHv48YNiQUg3R/EUIIIYQ4ZkseaP/86epb3z1JeyLEySHhhxCiwwyd9TAAxekbUbu40OuyW6gt0xM1OOuIyz65tYTHBwejPvhz5a/rmiZGJDif/t/iTLL/uxuNRs1ls3oDSAAihBCd4F9/X9Ps5xcmfdVFeyKE6Apff/jPrt6FbkPlaPvR4esUx0bCDyFEh7KajZRn7SR44Eg0OkdXlj1/xtJnahYAKrXibP2RUa7i+dFN43of+hHud/4oZwAyOz+DJzQh/P3RNvYsz8bdR8+br0zC/+DILxJ8CCFEx/rX39dgs9rJ2lJIVHIwOjdtszBEghAhhBCnGwk/hBAdZvP3z9FzwlXYbRb8/ZMAeODWfAAWZcHwMEe8sSG/qbLz/62tdgYgeQYzkR5N3V5cEyOwJ0WiKArrps2jIr+WV1+YyO13LcTVVYa8FUKIzrA5/XYAPr9tIeXZ1bh66YgaEIJvmCexg8OIGxbexXsohBCnF1UnDHXbHUZ7Odkk/BBCdIjB9zwOgEbraO1hc1fA1hRyzIjVUmayATAiQtUsAAHw25cFgAFQuzcPNn5csJ9NW4r47adLmDAuGlv9v8FVWnsIIURnmeAKL2ZXM/6WQTRUmyjJqGTT93vZszSLurL6I69ACCGEOMVI+CGE6FDqKEcrDquxodXpBosj9OgXDK4Hh7Wdn1XDLYfMY683OgOQys0ZPPH0GqZPi2PCuOjO23EhhBDOVh9msyOsrkkpok6tQrHa0Lm6cMVFV3Xl7gkhxGlJpVJ1eEsNaflx7KRKihCiQ0UaAwGwu9Sj8YfXvgsnzE1DmJuG/r66Npf7yNXf+by8Zww5hQb+8cpOEmcupLDYwFOPncX64jo8/F+VGh9CCNHJgkM8mDg1jhoFNFoNPkEeDLkgiZdeeqmrd00IIU47amfJ0459iGMjLT+EEB1i65tPcu61L4ILuGj1GAoLCOyX3GK+kUF61peaADBaFVxdVPy2xhF8/IY/n15poaTEwEV3r6LeaOXKWwdx7qW9qPZzdKf5e++tTOr94ck7MCGEOIMMTXzf+XzpH45/n1pxLQCPjf+yK3ZJCCGE6BASfgghOlxi/0ns27oIn/gEfBOS+DGnnhkRbs7pu0oOnVtpsfzHH6ZQWWlkybIrMXi23VrkRFgybnb8a7FTUW0icsQ3nbIdIYQ43UnoIYQQJ0a6vZwaJPwQQnSYhV8+xLULrsH/Ij+ybnDFpXoTI89u+TFzdS8dX+8zO38OjSun6EAAX1xlBVT06OFPfb0FbzctSYHuzvkCgl4/of0r+WoM81aV8H1KLX2T/Bg5OIRXPtrBrtRKrpy5geffWkZUVNQJbUMIIYQQQghx6pGaH0KIDleytwRjtZGIsXHO1xblNxVADXHTcP8gN4K8bc6HI/hwmDI5DpVKxcKF6R22Tx/c2ZNh92/h3o/Syc+p5quf0rnhgRWo1SqeuDyGnxYfYHhyAorSsiWKEEIIIYQQx0t9cKjbjn6IYyPhhxCiQ3058yvc/N1BpWLvUg1Gm935+DHHQIibptXlXt5VAYDVaqeqykhskh8P/d9yrn1tE89tL+O57WU8sOTq496v29/dT06piUHxnmSXGtG7qLj8ggR8VTZe/SWPBrOdq8aHUPXtWCq/GXPc2xFCCCGEEEKceiT8EEJ0uJy0gYSNHE/x5jV8P3s7pfvLW53v2gRPACaGujLKW8MLH6UwfPjnjDvrazJTHWHIoufWUp5d7VzmeAOQzz77DI1GQ16Fmbm39GZUXz+WrMhFr1Vx14xwfn2kL//+h3R5EUIIIYQQHUtafpwapOaHEKLDbX3lCQbOfhSVVkvByr/4efYe4gYEc9GcESz10XJBlJdz3jt6+vDos2v55etdGOsdXV/cPLSYjVZsNoVBF/bEN9zzhPfp+uuvZ+zYsYSGhsLay7jz4rhm0y2lVQD4XbXmhLclhBBCCCHE6erZZ59l4cKFpKSkoNPpqKqqajFPawVX33vvPW6//faTsIfHR8IPIUSniKz0pqGpwQYHtpfw6vW/Mvy8JIx3D+XSXo7hbYuLDfzvwxR8A9zw9NbzwMOjGDQxhkBXDY/MWcryPzIYdGFPZo+PoH/suye0T4mJiY4nUxdS9+e5AHhOXXhC6xRCCCGEEKI9qoP/dfQ6O4vZbGbWrFmMGjWKTz75pM35PvvsM8455xznzz4+Pp22Tx1Bwg8hRKf47YsHOe86cPP0Y/ua/zleVGDjr2ls+T2D34aFMfOiHs6BbqvKG3jjo3OYMCkWcKTJT7wwgX9M/x8p72zCflY4O7P+Sf/Ydykrme3cTmDw68e1fxJ6CCGEEEKIk0GtUqNWdWzFiY5e36GefPJJAD7//PN25/P19XW0qj5NSM0PIUSnGj9iJpde8SQeHr646LV4BHuDWs36tfk8/OAy/v3gMgDOnhzLuIkxzuUURcHdXcsbr01m2+ZCrjx/PmsWZVKYf3ez9R8ahAghhBBCCHEmqampafYwmUwnbdt33XUXgYGBDBs2jPfffx+73X7Stn08JPwQQnSa3754EIDQsEQuu+oZYmMGYyipwc3Pgx7nDaLHeYMYNCSUK67uy7XPjmdXtZlgd53zEeSmZdToSH744RJCQjy4484/GD7yC55+Zg0//ZRKamo5y/Nq+GnHzV18pEIIIYQQQrROpXK0au7Yh2PdUVFR+Pj4OB/PPffcSTmmp59+mu+//54lS5Zw+eWXc//99zN37tyTsu3jJd1ehBCd6o1XruTe+7/F09OPGefdww7P+Wz/cCf7f9uG3t2be2f3JX5KHBqX1rNYlQpGjopgxMhwXnpxPVu3FvH1d3uoKKkHwN1Lx+s/XMxPO27mouSPT+ahCSGEEEII0aVyc3Px9vZ2/qzX61ud74knnnB2Z2nLpk2bGDp06FFt9z//+Y/z+cCBAwF46qmnmr1+qpHwQwhxUi178kfGpz5JXWUR+fvX89LzG1DmrsMv2J2QKG9+GBTCo/8cjFegu3MZtcXOu29v4fXXN+Hn58oF5yex60AV29flExnng4+fK4AEIEIIIYQQ4pTTGUPTNq7P29u7WfjRlrvuuovLL7+83XliY2OPe39GjhxJTU0NxcXFhISEHPd6OpOEH0KITvfGK1c2+3nFvMcZf/mT9BxxIbHJk6gsTKdOW0ZJRQX7v9zLz5/soGdPf8IjvHDRqlm7KheDwcI/7xhMaWk9mzYX4uWlY9TUOG7+10i0Ok0XHZkQQgghhBCnvsDAQAIDAztt/du2bcPV1RVfX99O28aJkvBDCNGl1i942fl8xL//g81konzvHiqLiwmnnNoaEzfdNogLLupB/yT/ZssGh7xxsndXCCGEEEKIY3K6DXWbk5NDRUUFOTk52Gw2UlJSAEhMTMTT05Nff/2VoqIiRo0ahZubG8uWLeORRx7h1ltvbbPbzalAwg8hRJdYMe/xVl/X6PUEDxwEgAH4+o4qAJKi3j5JeyaEEEIIIcSZ67HHHuOLL75w/jxokOPcfNmyZUyYMAGtVsu7777LnDlzsNvtxMfH89RTT3HnnXd21S4fFZWiKMqRZqqpqcHHx4fq6uqj6k8khBBCCCGEEEIci+523dl4PJde9zJanVuHrttibuB/XzzQbX5XJ4MMdSuEEEIIIYQQQohuTbq9CCGEEEIIIYQQnUWlQtXBo73Q0es7A0j4IYQQQgghhBBCdJLOHOpWHD3p9iKEEEIIIYQQQohuTVp+CCGEEEIIIYQQneR0G+q2u5KWH0IIIYQQQgghhOjWpOWHEEIIIYQQQgjRSdQqNWpVx7Y76Oj1nQnkNyaEEEIIIYQQQohuTVp+CCGEEEIIIYQQnUTVCUPddvjQuWcAafkhhBBCCCGEEEKIbk1afgghxCEqvxnjfO531Zou3BMhhBBCCNEdqFUq1B3cUqOj13cmkPBDCHFGq/55EnaDsdVpjUGIhCBCCCGEEOJ4qVGh7uChaTt6fWcCCT+EEGcUe80D1C7d1uw1tYdrmwGIEEIIIYQQ4vQn4YcQoluz1zxwVPOpPVzZ3SfR+XPvTbsAafUhhBBCCCFOjBQ8PTVI+CGE6NbU3i+3CEC8zh4EQO3Sbc0Cj0PtHdaP0T0+6PT9E0IIIYQQQnQ+CT+EEN1eYwDy0b7y5hPCo+nfznKWtJsA0CZ90nk7J4QQQgghujUpeHpqkPBDCNFtZeff3e50u13hk+/2sXVpFtX5tXiq4aZLe3Lblb3QaJpGArek3SQBiBBCCCGEEKcxCT+EEN3CgcOCDnUr85wT4YnNZufbLcXsWJXLtsXppO+rYODQUOISfFn6+wFmP72e3om+TBwV3mxZaQUihBBCCCGOh9T8ODVI+CGEOP0cRRFT+8F/1cDWLUX8viiDef/dTU2N2TmPr58rk6bHk59bw9LfD6BSwTW3DGDCyLBW1ynBhxBCCCGEEKcnCT+EEN1CnJeeA7UmrFY7K5Znk59dQ021id9+S2f//opWl6mqNLL8zwNMmBrH5df3Z+TYSPwC3Eg5OH14ohQ8FUIIIYQQJ0Z18L+OXqc4NhJ+CCFOP94vO1t/lBmtANQZzHz+2Q4+/CiFoiJDi0WmTYvjggt7MGZsFP7+rlitdvbtLcfP3xW1nx6QsEMIIYQQQnQ8FZ3Q7UXCj2Mm4YcQ4rSQmXdXi9e8dY6PsMLCOs47/3sKi+q47NLeXHdDMu++u5Ulfx3g/gdGcPnlffDxcQQcVrsCgFarYfq0eSfvAIQQZ7yi4nudz0ND3mg2zVAxp83lPPxf7bR9El1HUZRO77N/+FDvh1J7v9yp2+4olaX34Rf0WpvTV61axYIFC7j55pvp1atXq/PYy2ajDny9k/ZQCHG6kPBDCHHa2p1ewaKf9/P1N7tRqWDN6muIi/UFYPWqXK6/IZnbbhsEtLzQEEKIk+XQ0OPQ1ywWGzk5NdSWGyktq8dqtePn64q/nythoZ4EB7vj4qLGUDEHzSEXya5+r5zM3RcdLCMjg9mzZ/P3338zYMAApkyZwlVXXUXPnj07bZs5uTVoNCoiwr2cr9lrHnAGIK2FJEcTjpiq7m/xmt73xP8+K0vva/Xn1kKQTz75hC+++IJXXnmFb775hiuvvNI5zV42u9XnEoSIk0518NHR6xTHRKUoinKkmWpqavDx8aG6uhpvb++TsV9CCNFCY+uPnTtKeO/tLfz5eyYeHlrOmZHAQ/ePcAYfgcGvM378eFauXMnff//N2Wef3YV7LYTojgqLHIFGWGjrwWp56WwALPam06ysrCpWrMhlw4YCdu4sIetANVarvdXlATQaFaNHRvCPi3py7ZV9cXVtfs9KQpAjy8nJoaqqiuTk5Gav5xfec0zriQh784T3xWAw8Pzzz/Piiy8SGhrKLbfcwp49e1i4cCE1NTVMnjyZ5557jqFDhzZbrqSV8Cy4jUDfbDbzww8/sHr1ahoaGmhoaGD7tj/Zm+qofZUY78tVl/XmwXuH4eamPeI+txWAtBZ6HO54QpDDQ4/WWCw2jNYHKCoqoqioiOuuu45LL72UrKws8vPzWbxoPHq9470SqGn/6jDXZAMgJuKtZq/vzPpnq/P3j333aA5DnIDudt3ZeDy33v4BOr1bh67bbGrgw/dv6za/q5NBwg8hxCnt0JO+wsI6np67lh++30dcvC8P/9+LXHXVVbi7u2M2m3n77bdZv349paWlrFy5Ervdzq233soHH0gtDyHEiWsMPNoSFvqGM/Q41Nff7uajj1LYvbsMjUZFcnIwgwaFMHTo7fTs2ZPIyEiCg4NxcXEh/8B9lJc3UFhUR25uLYt+z2Dpihz+NWcEjz482rnO1oIP046rnc/1yV8f/4F2E5WVlQwePJicnBxeeukl5sxp6lp0rOEHHH8AkpeXx8svv8yXX35JfX09//rXv/jXv/6Fu7s7AEajkS++uIjXXt1I6v4KJk+OZfa9wxg2rPWRxxo1BiAmk4mtW7fy/fffM2/ePAoLC+nbty/e3t64ubkRGxvLtPGlACxZls3n3+wlPDyc++67j/POO4+G8mcwGq3Ex/rg6+vaYjvtBSAZmZX8uCCN4hID5RVGQoLd6ZHkT2yMD1EJjxMYGEhOTg579uyhtNSxDy4uLoSHhxMZGUlERATh4eEYDAa2bdvG9u3b2bXjczIyKikqMdDQYMXYYMV+8HLFZlOoqjJx6OVLREQEW7ZsYXvKvZx/wfecd14Sr782yRmANDo0CGkMPVpTY2l7WiMJQTpPd7vubDye227/sFPCjw/ev7Xb/K5OBgk/hBBdrq0LisbzFEVReP2Nzbz++kbc3bX8379GcdVVfQmPeAtFUViwYAH/93//R3p6OuPHjyckJITo6Gguuugihg8fLuOgCyGOW0rmHQCEuOuOOK9Oo8JgsFBfb0GrVVNSUs8ffx7g6WfWMGlSDFdd0ZcJE6Jxc29+x72tu/gAxsr7ufH2xfzw837On5HArXe8xZQpU5p9rh0aerSlIjgAaLulyuE2p9/e5rShie8f1TpOpvr6eurr6/H29kar1bJu3ToeeeQRtm/fzpVXXsk777zDgw8+yNVXX03fvn0pKmlqYaAoCiaTrUXLGgCbzY7drqDVao4q/DCbzeh0jr8Vk8nEhx9+yCOPPIJOp+PGG2/kn//8J7GxsS2WKym+F5vNzk8/7efNNzeTur+C0aMiGDs2EhetGq2LBpUK7HaF8vIGCgrrKCioIy9PRUFBAYqiEBISwqxZs7j99tvp27dvm/u4b98+nn76ab777jtstqYLfb1ew/nTE5g8MYYRQ8PoP+JTNBpNi+UVRWHFihW8++67/PDDfDw8tERGeOHn60pRiZ6srCzs9pYtmnx9fVGpVJhMJurr61vdN1dXV5KSkujRoweRkZGoWYurqwue3ucBoFKpCAoKIiIigrCwMEJCQggKCqKi3NESZcGC/dx195+EhHgyckQ4CYl+GI1WamvNNDRYMFns2Kx2LFY7tTVmampMWCxN+2q12bFa7VgtdsfvXadBr9fg7q7Fx9eVuKgpjBo1issuu8z5/1l0rO523Snhx6lFwg8hRJdr726qRgUPP7ycTz/bwV13DuHee4fi7e0oXpqbW8ODD2WzbNkyJk2axOuvv06/fv1O1m4LIbqxxtDjcG2FIIUF1/Huu+/yzTffYDQana/r9RrOOSee996ZhsZF3eb22gtAqqur+fjjj/nss8/YvXs3ffr04dxzzyUsLIxA8w8M6x9IXKRnm8tXBAdgtdrZtq2Y2FgfgoIcLQ4O7RFw6PbbCz7g5IYftbW1/Pnnn6xatYpt27bh6upKWFgY7u7uFBQUkJubS05ODmVlZc5lXFxcsFqtREdH88knnzB58mTmzp3L448/jtVqxd3dnaAgF/z83ag3WMjLq6W+3oLeVYO/nxseHlq0OjVWi53s7GrMZjuenlri4noxdepU4uPj2b9/f7OL/OrqatLS0igsLMTX15f4+HiKi4spKCjgpptu4qWXXsLX17fN4zy0laPdrvD7H5m8995WsrNrsFpsWA7pHhUQ4EZYmCfx8ROJjY0lNjaW3r17M2LEiFbDirbk5+ezZ88e3Nzc0Ov1rFy5km+//ZaUlBTsdjseHh5ERUUREBBAYGAgiqJQXl5OTk4Oubm59OjRg/vuu4/rr78eV9emFiNGo5GCggKKioooLS0lIiKC3r174+Hh4Zynurqa3Nxc8vPzyc/Px9XVlcGDB5OUlHRMx9Da73D79hLmzdvDtpRisrOr8XDX4uMbg7u7O1qtFqvtAC4uary8dHh769HpNXh5nAU4whWdTuf8G8ov/ROzyYaL0o/KykpKS0vZuXMnoaGhLFy4kMGDBx/Xvoq2dbfrTmf4cUcnhR/vSfhxLCT8EEKcEg4PQNwOXiQoikJMwntcfFFPXnxxonN6UfFNjB07Fj8/Pz788EOmTZt2UvdXCNE1cgrudj6PDn+rnTmPTVVZU0uArBpjq/M01FvYvKGAdatySd1bTmCgO317XsDy5cvZtm0bkZGR3H777URFrcdqcVwwDx8ejrt7+7UV2gs+DqUoCqtXr+aNN94gJSWFwsJC6uvrUalgyugwrjo/nhnjIvDyaNpehtaD335N4913t5CdXQNATIw3vXsHEhXlTVSUF1FR3kRHeRMc4oG/nysFDZY296Gjgo+yktktXgsMft35vLa2lqeeeoo333wTs9lMfHw8Q4cOxWq1UlhYiMFgICIigoiICGJiYoiOjsbLy4va2lpqamro3bs3EydORK1uCpzq6+vZtGkTW7ZsoaSkhNLSUjw8PIiNjSUwMJCqqipKS0sxGAxYLBZUKhVJSUl4enpSWVnJrl27+P333yktLSUhIYG4uDi0Wsfv2t3dnR49ehATE0NpaSmZmZmo1Wpmz57d5ggkhzs0ADnav4nOUFdXx9atW9m0aRMFBQWUlZVRWlqKSqUiMDCQoKAgzj//fMaNG3dGtqx8//33ueOOO3j++ed56KGHzsjfQWfqbtedEn6cWiT8EEJ0iX3Zd7b6eqhHy7uqN9y0kN17yli/5lr8D54c33XXXXz77bccOHAAHx+fztxVIUQXOjTsaMvxhiB5hffgqW37LrPdrrBsayFrV+WydmUuWzcWYjbbiI6OZuTIkZSWlpKTk0Pfvn255ZZbGDzoD1zaad1xuBO9wFUUherqan7++Wc++OAD1q9fj16vJy4uDl9fX6qr09i3rxyA885P4sYbkikuMbB5UyHp6ZXk5dWSl1eD0di8xoGXlw612nFBN/ncBP71xFhUKlWHtvg4PPwwGCxs3FTAqlW5bNmqZ/PmzWg0Gh566CGuu+464uLiOmzbJ0JRFGw2Gy4uMmDimSo1NZVrrrmGTZs2ERgYyIgRIxg5ciSjR49m+PDheHq23QpLHFl3u+50hh///BC93r1D120y1fPBuxJ+HAsJP4QQnWbhrpvbnJbgpW/19dbCj48+2c5D/7eMtNTb8PNzNK1dsWocl1xyCTfeeCMvv/wyfn5+HbPTQnRTrY1ecDoU7Ts8/FAUhb//yqK0rJ74eF8Sk/wJCHA76gAkr5VCl4qikJdZzb595WQeqCIjo5J9qRXs31+Bod6Cq6uGceMmMX36dKZPn06PHj2cd3tbG4mjPZ15Rz87O5uff/6Z7Oxsqqur0Wg0jB49mrPPPpvo6Gig5f4qikJpWQO5uTWUlBioqDBSfbCgZFlZA+++t5WnnjqLRx9deUz7Ul85p8Vr7n6vAs2Dj4KCWl54cT3zf0jFbLYRHOzOhAnnMXbsWGbOnOncbyFOJYqisHbtWv766y/Wr1/P+vXrne+5/v3706tXLxISEkhISCA2Npbo6GgiIyPR61s/97FYLKxdu5Z+/foREBBwko/m1NLdrjud4cedH3VO+PHOLd3md3UySPghhOhURwpA6ustpO4tIy21Ajd3Lddf3sd5xxEgNbWcCy78gUGDQpj37cxmy//4c1/uv/9+7HY7kyZN4rzzzuOyyy6TzykhDmpruMZDnQ4BCDhCkOJiA/fc+Sfr1+WjVquwHxxG9oknnuA///lPq7UCasqburPUmJtaOFRWNLBzZykrV+SweHEGOQe7hPj5uZIQ70vPHv4MGnIjAwYMYMyYMbi5tWyufCzBR1d2YzharR3Pk0+u5oMPt7NkyRImTJhwVOtpLfhoNv1ggcn1G/K57LKfcXPX8s87BjNtahyjx34p3QjEacdut7N3717Wrl3Lhg0bSEtLIzMzk7y8vGbzhYWF0aNHD3r16kVwcDBarRZFUfjqq69IT09Ho9Fw1llncdVVV3HFFVc0q5NyuENHLOqIoZhPFd3tulPCj1OLhB9CiE7VXvhRubec+/75B2VlDWg0Kmw2hfHjovjs03Px9tazdGk2t9y2mIhwT37+6RL8/VtefFhs/8fnn3/O4sWLWbNmDa6urtx44428+OKLzQqwCXGm6i4BSF5eHpMnT6auro5PPvmECRMmkJGRwbx583j66afx9fVl0qRJ+Pj4UF5eTr1hO1dd0YeZ5yc1C1QrKhq48NKf2J5SAkBgoBvnTE9g2vR4BgwIoX+fD49539oLQU6H0KM9VquV5ORkYmJiWLx48VEtc6Tww93vVVatWsXFF19Mnz59+PXXX+X8UnRLRqPRWZQ3NzeXAwcOkJqayr59+6ioqMBisWC1WhkzZgxz5sxh3759/PDDD/z11194e3tz3nnnMXnyZIYOHUpQUBABAQEUl7b//oLTOwzpbtedEn6cWiT8EEJ0mPnbb2r1dbeDQwqc2+9j52s7d+5kyJAhjBkzhscfDadHDz/Wry/guhsWMvOCRF59ZRL9+n9Mnz6BfPbpuXh4tj+kXHDIG+Tn5/Pxxx/z/PPPM3bsWBYtWuQsRifEmexIAcipFn6UlpayZ88e8vPzKSwsZOXKlSxatIjQ0FCWLVtGYmJis/k3b97MwoULWbJkCWazmcDAQGpra1m1ahU9kvy4dFZv+vUJZPPWIn5bmE5JaT0vzp3AoIEhxMf74hv0etccaBc5UouVxsBGURT27dvHeeedx9SpU3nvvfeOuO76yjlUVBrJzq6mvsFCQ4ONmhoTefm15OTWkJUbRmpqKgcOHGDcuHHMnz+fwMDADjkuIbqLrKwsPvnkExYvXszWrVs59HLNz8+VkFAPQkI8GDEinH/eOaRFrSEJP04dEn6cWiT8EEJ0mLbCj0P9Y8AnAPz0009cfPHFFBcXExwcTHnpbAC+/mYXs+/7m3vuHsKbb23how+nc8EFSUe1/cYT9qVLlzJ58mReeeUV7rvvviMsJcSpb/HixTz99NOEhYVxySWXYLfbyczMxG63c++997Za88ZqtbJp0yb++usvtm/fjqurK56ennh7e3PrrbcSHBzM559/zvbt28nNzaWgoIC6ujqMRiNGoxG1Wo1Wq8XNzY2wsDAiIiIIDQ3Fx8cHb29vJkyYwMiRI0/42BRFoaKigr/++ouff/6Z1atXk5+f75zu6elJ3759ueqqq7jyyiuPqT/8unXreOutt/jll/kYDBYCA90YOTycRx//luHDh5/wvp+OjqarTklpPV9/HcBXX31FQUEBer2eJUuWMHbs2HaXy8zMZObMmezatavFNHd3d6Kjo0lMTKRnz54kJydzxRVXSEAtxBGUl5ezf/9+0tLmUlHeQElpPcXFBgoK6vjrrwMMGRLKBRckMXBgCD17B5IYf2qF2cequ113Nh7P7Xd93Cnhx/tv39xtflcng4QfQogOdaQApDH8+O233zj//PPJz88nPDy82TzPPPMMjz76KH5+fowZM4ZffvmF0laGRWxLcMgb3H333Xz00Uf8/vvvR91PXYiupigKRUVFpKenk56ezsaNG1m+fDn79u1j7NixNDQ0sGXLFgCCg4MxGAx4eXnx7rvvctFFFznXs3XrVmbOnEleXh4+Pj4MGzYMq9VKXV0d2dnZ2Gw2LBYLRqORwYMHExUVRXh4OF5eXri5uaHX67Hb7VgsFurr6ykoKCA/P5/i4mJqa2upqKigpqaG2bNn89BDDxESEkJhYSGpqalUV1fT0NCA0Wh03q1sHCHDYrHQ0NBAVlYW6enpZGdnk5eXR11dHQCDBw9mypQpDB48mP79+xMVFdUhIyfU19dTXFxMbGzsGVtP4mjrk2zZeg4XX3wxWq2WG264gRkzZjB27Nh2aw8AZGRkcNZZZ+Hp6cnTTz9NQkICXl5euLq64u3tja+v7xn7uxfiRLX1/l2zJo9n565l584SzGY7Hh4e3Hzzzdx5550kJCSgVqvbXPZU7ZLX3a47Jfw4tUj4IYToUIeHH41hx+HeeustZs+ejcFgaFGbQ1EULrvsMhYtWoTBYGDu3Lk8/PDDwNGfwHv7vMD06dNZuXIlr7/+OnfffeThMoUAaGhoIDU1lcDAQIKDg9Hp2u9ydTwURaGqqoqsrCyys7NJS0tj7dq1rFmzhtLSUud8PXr0YOLEiZx//vnMmDEDlUpFUVERnp6eeHp6kp+fzx133MGvv/7KjBkzCAgIYNu2xaSmVtCvXxDPPDOOgQNCmjWJLi9v4JH/lNGrVy/uvvtuwsLCjnn/bTYbr7zyCk8//TRmsxlXV1dqamraXUalUqHVatHr9cTExJCQkEBcXBxRUVFERkYycuRIGdmjExzraDSLFmVww40LCQpyx2CAPn36sHbt2jZbaCiKwpIlS5g9ezZms5k1a9YQHBzcEbsuhODo3sO+fi+xc+dOfv75Z9555x0qKytxc3MjJsadwEA37DYFi9WORqPC01OHl5cOjUaF1apgtdjQ6V3w9dHj7aMnKNCdyCgvoqK8SYj3xdW1+bDOnR2adLfrTmf4cXcnhR9vSfhxLCT8EOIkqCw9ctcLv6DXTsKenHxms5nVq1ezatUq0tLSUKvVuLm58csvvzBmzBjmz5/f6nKlpaX06NGDvn37smbNGv773/9y+eWXA0d/Mh8Q+Cr3338/b731FuvXr2fYsGEddlzi9JSfn8/KlStxdXXFy8uLsLAw+vbt65y+Z88eLrnkEvbt2+d87c477+Ttt992/myz2cjLyyMjI4Pc3FyKioooKiqirq4OLy8vvLy8GDlyJNOnTwccfbfXrl3Lzp072b17NwcOHCA7O5va2lrnOt3cXBg0KIThw8MZMCCY+DhfYmJ8cHNrftJ5qEPrMvz444888cQTeHl5kZBQQ98+gVx+eR/c3Vu/YO2ok9eqqio+//xzTCYTvXv3plevXvj7++Pq6oper282+srhdyBP1buO3cmxBh8AFouN11/fRElpPV9+uevgaxZcXFr+LW7ZsoV7772XNWvWMHjwYD777DOSk5NPeL+FEO1r771tMJhZsyafA1lVZB2opryiAa1WjYtGjdVmp67OQm2tGcWuoHFR4+KiwmSyUV1torrKREmpAbPZMSKTVqumf/8ghg4NY0ByMP36BZGY6OcM1MuMljb3o0/M8XW/6W7XnRJ+nFok/BCiAzQ0NJCRkUFISAiBgYEtmvaeKeFHbXlTBfLU/eW8/2EKP/2SR0VFBYGBgfTq1Qtw/L48PDz44osviI2NbXN9M2fOpLKyktjYWP73v/+xevVqhg4d6px+NE05bTYbfn5+PProozz44IMneITidJWXl8dtt93G77//jt1ubzbt6quv5vzzz8fNzY1//etfKIrC22+/jclkYs2aNcydOxedTufsElJSUoLZbHYu7+vrS2hoKJ6entTV1VFdXU1hYSFXX301KSkpzvoHUVFR9O3bl4SEBGJiYvD1WUpUlDeRUd4EBbodc5eA9sKDo7no7azwoexgFzX7kU8vOnU/RHPHEoRkZVdz9dW/kJ9fx5df/pdLLrmkxTxLly7lnHPOoWfPnrz88stMnTpVurUIcZIcT7B5tOx2hdLSenJyati5s4RNm4vYvLmQnBxH6z5fXz2XX9aHf1zXj7DwtrslSvjh0Hg8d9z9SaeEH++9dVO3+V2dDG3fUhJCHJXPPvuMG2+80fmzTqcjPDwcPz8/vL29cdXn4OvjSmSUFzHRjju5hYV1FBUZGDsmknOmxZ+2wcehYcfhHntyNatW53LLTQO44ebl9OvXD5VKhaIolJeXk5OTg7+/f5vL5+TksGzZMu666y4ef/xxUlJSePrpp1mwYIFznqO5aNJoNPTo0YPU1NRjOzjRbWzfvp2LLroIq9XK+++/76yNUVtby/Lly5kzZw5ff/21c/7333+fSZMmATBk8O+MHv0bWVlZ1NbWYjAYCA0NJSEhgfj4eKKionBzaz4Es6IoPProo3z11VdMmDCBJ554grPPPrtFUdKS4rwTOq4TPfktKb73hIOHsmOoxdPefoCEIJ2t8fd7pL8bo9HK+ed/T1lZAwsXLmLatGnOaXa7nby8PP73v//xyCOPMHHiRH799ddO6RomhGhdZwYfAGq1ipAQx2gyw4aFceONAwCorjaxe3cpf/2VxWef7yA9u4o33j+nU/elW1EdfHT0OsUxkfBDiBO0detWAMLCwujZsycBAQGUlpaSn59Pamoq9fX1bS777vtbD9azOPH9sNvtqNXqI8/YgbwCXm0zAEnuH8TiPzJZuiyHysorKSyJICsri5ycHBoaGgAYP348r776KmVlZezatYudO3eSkZFBTk4OeXl5RERE8OCDD6LT6YiJiSE7O7vd/WnrYm7MmDF8+umnPPjgg/Ts2fPED1yc8iwWC6tWreK9995j/vz59OrVi+XLlzerKREYGEhcXBzXXHMN9fX1GI1GzGYzERERgOPvSaVSMWzonwwbeujaa4D9ANTWOB6Hu+duuOfuCw/+tBKLeSUlxZ1xpCemIwKQtqgPtgI4mhYgWrXa2ULudA2DTwdHc9Gk02m4dFZvvvo6nenTp6PT6QgODsbLy4vs7Gznd9qcOXOcraKEECfP4Z/ZnR2GNPLx0TN4cCiLf8/EaLQydHh4m/Meb6sPITqbdHsRog1tXdSvW5/PnIeWkhDvS0K8L36BF7B9+3Y2b95MXl4eNpvtmLdVUVHR6lCVR0NRFJ577jnmzp3LXXfdxcMPP4yPj89xret4tfa7slrt/LXkAF99u5vc3FriEkYTGxtLdHQ0c+a0nN/d3Z2+ffuSlJRETEwM0dHRDB48mJycHN555x2WL1/Ol19+ybSpm49qnw49OairqyMxMZFrrrmGl1566fgPVJywtNy7SIp6+8gzHiOz2cz27dvZsGEDa9euZfHixVRVVREfH8+///1vrr322mMeUvNknVB2tY4IP46mBYjmGLtESAjScY7lb7nx78FgMPDHH39QUFBASUkJ1dXVxMTE0LNnT/r160dMTMwJbUta+gjRsTr7O8totHLjjQtZvSaPex4YzjU3JqPRtH7T7UTCj+523dl4PP+899NO6fby7hs3dpvf1ckg4YfoENXV1ezevZt+/fod8W/EbrdjtVpP6btF7XXn2LqtiAlT/ktYqAeubo6hJuvq6qivr8fNzQ1XV1fc3Nyora11FjR0dXVl1KhRjBs3jquvvhofHx80Go2zdsDhBeIamxbn5ORQVFREYWEhLi4ujBo1iv79+6PRaFAUBYPBwAMPPMAHH3zARRddxO+//45er2fw4MH07NmTmJgYamtrKSsro7q6mnPPPZfLL7+81cJ1bcnMzOS7775j+vTpDBw48Lh+n4crLi5m9+7dFBQUUFZWRkNDA4qiUFpaSl5eHvn5+WRlZVFYWAjAgAEDeOaZZzjvvPOO+cu98QT7tttu47///S9btmwhKSmpQ45DHL203LuOar6jDUbsdjsLFizg119/JSUlhd27d2M2m9FqtQwcOJBzzjmHmTNnMnjw4OOqQ3C6Bh+n+gXl0dQ/aiThR9uOtqZLR/8dH+nvS4IPIU6+zn6flxTf6ww+1qzN4+2PZzBqbGS765Dwo4mEH6cWCT/OIPaaB1q8pvZ++YTXe+6557Jo0SLnzwMHDmT8+PGcffbZjBs3Dl9f32bzX3TRRfz888/ExMTQo0cPEhMTiYmJISYmhuDgYHJycliwYAHl5eX88ssvLZZvi81mQ61Wn3DBtfaCj0YXXDyf0rIGtu8oco5moChKs20rikJlZSXp6emsWrWKRYsWsXLlSoYOHcpll12Gh4cHHh4eWK1W8vPzyc/PJycnh4yMDDIyMjCZTM516XQ6Z2jk6emJXq+nuroaq9WKRqPhww8/5MYbbyQvL48PP/yQPXv2kJqaSm5uLr6+vgQGBqLRaNi4cSNxcXGMGDECvV7vHPEiNDSUsLAwoqKi6NevH35+fthsNr7//nvuvfdeysrKsNvtDBkyhOTkZCoqKigvL6ehoYH+/fszfPhwpkyZQmJiYovfld1ud/4Oli9fztq1a8nJycFqtTabz9/fn+DgYCIiIoiMjCQyMpLBgwczcuRIwsObN608ni96hX8TGhrKRx99xM0333zMy4uWUnPubHd6z+h3gKMPPuDowo/du3cza9Ys9u7dS3JyMsOGDWPgwIEMGzaMAQMGtBg6+XjIRVznOjQEkZDj6HV1KHeiRXaPtA4hxLHp7OCjoaGBAwcOcMcdd7Bx40Z+/fVXJk+e3KHbPFx3u+50hh+zOyn8eF3Cj2Mh4Uc311rg0Z7jCUPuuOMO3n///XbnWbp0KRMnTkRRFAIDA6moqABAq9VisbQ9TFZjy4js7GwCAgJISEhwtlpobCmwfPlyvv/+exYtWkRcXBz/+c9/uOyyyzq86vyhocimLYVMmjaPK6+8ktdee42goKCj2t6GDRu4/vrrycnJaVYLxN/f33nRn5iYSGJiorP7R1hYGL6+vhiNRjZt2sSGDRuwWq34+Pjg4+ND//79j3powZSUFN544w1yc3MxGo0YjUaqq6udw3Q2ioqKQq1Wk52dzfTp0/nkk0/YtGkTn376KcXFxfj7++Pv749Op2P79u1s374dm83GrFmzGDRokDMcyc7OZvPmzVRXV6NWqxk0aBBnnXUWPXr0cAYcYWFhBAQEtNsl4US/3BsarDz87+X897972Lt3r3PUGXF8jhR6HEp9DO/Dowk+Ghoa6NWrF4WFhTzzzDPcfffdLQqOdgS5kBOnmq4MPk7k7/zw/Zb3jBAnrjM+Dxrfm1u2bOHhhx8mJSWF0tJSAAICAvjll18YPXp0h2/3cN3tulPCj1OLhB/dSE15682JFUWhttzIzt1l7NxdSnlFA/5+rgQFuRMV4QVAUUk9JSUGSkrr8Qu5mPj4eOLj4wkODna2OLBarZSUlDhbKZhMJvz9/QkICMDf3x+VSkVubi7l5eXU1tayadMmZ4uQb7/9lkmTJqHRaEhNTeXbb79l/vz5FBe3rAAYERFBbGwsVVVVpKenN2sBodfr6dOnDy4uLuzfv5/q6moAhgwZwsyZM1m7di2///4799xzDy+99BI6nQ6bzcauXbuIjIwkICCgw37fX331Fffccw9VVVVoNBp8fX0JCwvj+eef59xzzz3i8na7HaPRiEql6pSLt2NVV1fHgQMH2LlzJzt27KCyspJbb72VIUOGHHHZhoYGvvrqK1566SXKy8sJCAggICCAsLAwhgwZwvDhwxk+fPhRt+JpdCJf7larnZISA1u2FPHs3LUUFtYxd+4E7rtvyXGvUxxb8AFNrT9a09gi5FhqgNTW1nLFFVewfPlyDAYD48ePZ/ny5ce0T0ejK4eKFeJYdHYoIn/nQpx6OvJ9v2tXKRs3JbNnzx52797Ntm3b6NevH7NmzXK2zE5OTj7u2nTHqrtddzYez52zP+uU8OOd12/oNr+rk0HCj9Pc4YGH1Won80AVe/aWs3NXKSnbi0nZXkJZmWN0DQ8PLUFB7lRVGqmqNjVb1tPTk6CgICoqKpyhQls8PT1xdXWlsrLyuAp8HklERATTp08nOTmZuLg4YmJiKC0tdY4IYrfb6dGjBz169GDw4MHNCq+999573HnnncTGxjJ8+HCWLFlCeXk5Go2GcePGMXPmTAYNGkRwcDDBwcH4+fkddyuRoqIili5dSnV1NdXV1Sxbtow///yTyy+/nCeeeOKMHlnkeArsneh6TCYrTz+zlgUL9lNaWk/jp9uUKVN4/fXX6dOnz1GvSxydtsKQ9kKPE5GWlsb8+fOZP38+W7du5bXXXuPKKw60Ob9cuIkz1YleHMl7R4jT25E+AxRF4bvv9vLAgytwdXWlb9++9O3bl9GjR3PttdceU324jtTdrjsl/Di1SPhxijCZTGRlZeHi4kJCQkKL6cXFxaxfv54tW7ZQW1uLzWbDZrNRU72CqkojlZVGyisaOJBVjcnkCCOCg90ZmBzMwAEhJCcH0bdPILExPqjVKrwDXsNoNJKXl4dKpSIkJARPT0/n9iorK8nMzKS0tBQXFxfnIzAwkIiICLy8HC1GFEWhpqaG8vJyKisrnY+6ujp0Oh16vR69Xo9arcZmszlbkDTuf+NDp9Ph6uqKXq8nJiaG/v37n1C3lV27dvHkk0+Sk5PDlClTmDRpEmlpafz888/8/fffmM1m57weHh6MGjWKsWPH0r9/f8xmMwaDAYPBQH5+PhkZGaSnp1NeXu48Jp1Oh4+PD+Hh4c5HbGwssbGx/P333zz88MN4eXlRWlp6zCNMdBfHW5j0WNcRHPIGiqLw999/c//997Nv3z7uvfdeevToQXh4ODExMfTp06fDu0GJk8Nut7Nnzx5WrlzJt99+y5o1a/Dw8GD69OnMmjWL8eNWH9P/W7mgE8Khvc9XeZ8IcWpp6/16PO9VRVFYsWIF//nPf1izZg033ngj77///ilzvtrdrjud4cd9nRR+vCbhx7GQ8KMLKYrCnDlz+PHHH8nNzXUWzLzmmmtITEzkwIEDHDhwgIyMDHJzcwEICQnB398fFxcXNBoNer3eWX8hICCAiNDt9O4VSJ/eAQQFNb3BvAOkoFwjg8FAXl4eJSUllJSUkJ6ezurVq1m9ejVVVVXO+fR6PWFhYSQmJpKQkEBwcDAWiwWTyYTJZKKqqoqCggIKCgrIy8trVsPDxcWFN998kzvuuKMLjvDU0VnNsU0mKzW1/2TVqlWsWLGCFStWUFhYyKhRo3jrrbeOqquOODWVlZWxceNGNmzYwPr161m/fj01NTVoNBomTZrEDTfcwMyZM3Fzc+uQgE0IIYQ4VXXkeVRwyBssW7aMOXPmkJKSwsCBA3nhhReYOnVqh22jI3S3604JP04tEn4cQXb+3QDERLzV4ev++OOPueWWW7jlllsYPnw4CQkJ7Nu3j6eeegqbzUZcXJzz0TjqRWRkpNzB7iR2u52ysjLc3d1xc3NzjuJyNBRFoaysjKysLA4cOECPHj06bFjY093xfnHb7Qo5uTWkppazb185qakVZGZWkZ9fS0mJI2jSaFQMHTqc8ePHO1v4yPvj9GCxWEhPT2ffvn3s2rWLbdu2sXXrVrKzswEIDAxkxIgRjB49mtGjRzNs2DA8PDyaraOjulYJIYQQp5LOuHm0YmUO11zzKwMHhnDH3UMYOy7qiOdM8ZFHX5Oro3S3687G47lrzuedEn68/er13eZ3dTKc0eFHY7BxLDoyBNm2bRvjxo1j1qxZfPrppx22XiFONUfzJa4oCitX5TJv3l5SU8vJyKjEaHR04fL21tGzZwAJCX5ERXoREeFFVJQXU6d92ay7lugaiqJQXV1NQUEB+fn55ObmUlxcjMlkwmw2YzKZMBgMFBcXU1RURFFREXl5ec7hjv38/Bg8eDCDBw9m0KBBjBgxgri4OAmyhBBCnNE6KgQpL2/grLO+InlAMO98NAO9/sg3+Loi+IDud93ZFH580Unhx3Xd5nd1MnRNJZvT2PG2BLHZbGzYsIFFixaxceNGKioqqKqqoq6uji1btnTGrnaJQz+k5U7rmaGyspKFCxc2e81ut2MwGKitraW2thaDQYNarcZiWYFOq0ar06BSgcVsx2yxYTbZ2JZSzPr1BSQnJzN27CXcfHMvevfuTd++fYmIiJAL4Q7Q+P48lvfm4SdeJaX1/PRTKhnpVeTkVpOTU0NBQR0NDdZm8/n7++Pm5uask+Pm5kZoaCi9e/dm4sSJREVF0bt3b3r37k1wcLD8/xVCCCEO09b39bGGIn/8kUlFpZE335hCgKeu2bQ6S8uBC7oq+BCis53R4UdMxFvY7XaGj4igstLIRRf35IKZPYiJ9QEcdzPr6y1UV5uoKG+grKyB8vIG6ust3HZzKUFBQW2uu7q6mm3btjn7rK9evZry8nL8/f0ZN24ccXFx+Pr64ufnx5gxY07WIXeKtj6AO7I4kzhxx3PhezQWLlzINddc0+J1jUaDl5cXnp6eeHp6YrfbsVgsmM1mzGYzdrvdWTxWp9MRFpbEr79+wLnnnisXwoc4kSFXj/W92biuw6dXV5vYuLGAX39N56efU1GrVSQk+BEd7c3kybFERHgRFupJaKgHwSEeDBjwAXq9/oj7LYQQQoijd7wtQbJzaggJ8WhWD7CRp7Z5KxA5T+8cKpXj0dHrFMfmjO72Ao6AQ61WA+DurqW+3kJYmCdGo5aamppWh3FVq9W4u7tzzz33EB0dTVVVFVVVVVRWVpKWlsbevXspLCwEwMvLi+HDhzNq1CimT5/OiBEjjqmWxKmqI5rhyYdrx+jqoo82m40ZM2bw559/Ol/TaDQMHjyY8ePHM378eCZNmoSbm1uHbre76qwisceitLSeDRsKWLc+n/Xr89m9uwxFgagob268IZkrr+yDr69ri+XkPS2EEEJ0vBM9N/jtt3RuunkRk86O4Z13puHn1/I7HE6N7/Hudt3ZeDx339853V7eekW6vRyLMz78ALjhhhvYvHkzGzZs4Ndff2XHjh14e3vj4+ODj48Pvr6+BAcHExwcTFBQEHV1dbzwwgu8/fbbmM1m5zw+Pj4kJCTQu3dv+vTpQ//+/endu3e3CDtaczwfxKfCh2p3cyr8f1AUheLiYnJycsjNzSU7O5stW7awYsUK8vPziYyM5KWXXuLyyy/v0O2ejsxmM5mZmaSlpZGRkYG7uzuJiYkkJSURERFBWel9J7T+xv+3R/q7sFhsZGVVk5ZWSWZmFQeyqigoCCE9PZ2cnBwA4uPjGTdunPPh6fFGi1Y58p4WQgghOkdH3hD5++8s7vjnH0yaFMs7b09FrT41v8+723WnM/x44MvOCT9evrbb/K5Ohm4XfhQXFzNv3jw8PDwICgpyBhYRERFt3nmeN28eV1xxBXfddRezZ88mISHhqLZltVrRaDTSRP8wh39Qnyofpt1VV4YfxcXFpKSksHPnTnbs2EFpaWmz4FCj0fDf//6XnJwc9Ho9paWleHl5dci2TyeLFi3i9ddfZ9OmTdTU1GC32wFwdXV1dgFq/HnSpElceeWVXHDBBc5irkfqpnK08vLyeOqp81m1KpeMjEosFsd2vb29nUM6JyYm0r9/f8466ywiIyOP95CFEEIIcZw6qxXod9/t5Z57/+Kss6IYNjQMP39X/P1ciYufTZ8+fYiJiemU7R6L0+m682hI+HFq6Vbhx9q1axkzZgxqtRpFUTj00HQ6HZMnT+bCCy9k1qxZ+Pr6OqdZrVaeffZZ3n77bcrKyujZs6fzTucFF1xwSh+zEMf7BXmiAciOHTsYNGgQdrsdDw8P+vXrR1hYGLW1tdTU1FBdXU1DQwPDhw9n2rRpTJ8+/Yy7mM7OzuaBBx5g/vz59OrVi2uvvZaAgACSkpJISkoiPDwcq9VKVlYWaWlp7Nmzh59++ol169bh7u7OCy+8wF133dVh+5OcnEx+fj6zZs2if//+9OnThz59+kjBUSGEEOIUcDK6vv79dxYvvriektJ6KiuNzQqWL1++nPHjx3f6PrTndLnuPFqNx3PPg50Tfrz5koQfx6JbhR9Lly5l0qRJeHl58d133zF48GBKS0spKSlh+/btLFiwgFWrVuHu7s6tt97Kf/7zH/z8/JzLNzQ08Msvv7BixQpWrlzJ7t27CQ4O5tFHH6VXr154eXk5Hz4+Pnh5eckFg+hyXRV+fPXVV1x77bXs2bOHnj17OmvnCIevv/6aW2+9FV9fX1566SWuvPLKo/68yMrK4plnnuHzzz9n7dq1DB8+/IT3p/Fz/Msvv2y1QK0QQgghTr7OqKNnNpuprq7GYrE4H/l5T5CfX8uBrCoOHKgmO6uaikp/srOzKS8vB2DgwIFs27bthPfnRJwu151HS8KPU0u3Gu3l7LPPZsuWLcyePZsZM2Ywbdo0zjvvPKZMmcLEiRO57777KCgoYO7cubz55ptkZ2czf/585/Jubm5cdtllXHbZZQDk5OTw8MMPc/fdd7e6PRcXFwICAggICCAwMBBvb2/0ej16vR5XV1f0ej0+Pj4MGDCAIUOGkJCQIBeI4pRRUnzvCQUgpaWlADzyyCNMnz6d888/n9DQ0I7avdOWwWDggQce4P333+f666/nzTffPOauPrGxsbz33nts27aNhx9+mL///vuE96vxxGbXrl388ssvzaaZTCbKy8spKytz/ltZWYnJZHKO0GMymfDw8ODnn3/G39//hPdHCCGEOFN1VAuPw8/jFEXhu+++46677nJ+7x9Or9eTkJBAQkJ/hiWGc+655zprGw4bNqxD9ku0RnXw0dHrFMeiW7X8aKQoCt9++y0fffQRa9euxWKxEBwcjM1mo7Ky0tm/Xq1WU1VVdcQLk8aRXGpra52PmpoaysvLnRcKZWVl1NTUYDKZmj3KysrIzc0FwMfHhyFDhjB8+HDnCDBysShO1Il8gZ5I+FFWVsZ7773H77//zvr16/Hz82P37t2EhIQc9zo7U1FREQ8++CBVVVXceOONnHfeeWi12g5bf15eHl988QUffvghZWVlvPzyy9x+++0n1Drs9ddf56GHHqKhoaFDCiffe++9vPnmm61O02g0zcJcPz8/XF1d0Wq16HQ69uzZw4YNG5g3b54zIBZCCCHE0enILi2tnb/ZbDauvvpq5s2bx6WXXsoVV1zh/A5v/DcqKoqIiIhT+mbs6XbdeSTOlh8PfdU5LT9evKbb/K5Ohm4Zfhyqrq6OlStXsn79etzc3PD39ycgIAB/f39iY2OJj4/v9H0oKytjy5YtbN682TmqTGFhIS4uLixYsIAZM2Z0+j6I7qurwo9D5efn079/fwwGA+PHj2fGjBmMHDmSwMBAAgIC8PHx6dAv2pSUFOrq6tBqtbi4uDj/1ev1eHh44Onpibu7O2q1GrPZzLvvvstTTz2Fi4sLsbGxbNq0ibCwMJYtW0bPnj2PadsFBQUsWLCAAwcONHtUVFTg7u7OrFmzeOSRR0hKSjquY6uoqGDr1q1s3ryZhQsXsnr1asrKyggICDiu9R2uvLzcGQA30mq1+Pj4tBvUFOTfzZVXLWD16jyuvaYfd989lIiII7dokYLHQgghzlQdXcOjve/UxYsXM2PGDD7//HOuu+66Dt3uyXQ6X3e2RsKPU0u3Dz9ORQaDgY8++oh//etfeHt7U1JSIrVDxGkvLy+PH3/8kYULF7J8+XLMZrNzmkajwc/Pj6CgIBITE+nZs6fz0bdv32PuRnG075fGAKS+vp6bbrqJuXPnEhgYyB133MGnn37K/v37j6myuaIoDB06lG3bthEbG0tcXJzzkZiYyPTp04/qM7Kuro7s7GyysrLIyMhg3759zkdhYSEAXl5eDBkyhPHjx/P444+f1M8Iu91OZWUl+/bOpqLCSHlFAyXFBvbtK+ezz3c658s68E/c3Dqv96QEJ0IIIU4nJ6NgaWs2bizg+hsWEh/fjw0bNpzW1xXd7bqz8Xju/dfXnRJ+vPHC1d3md3UydKuaHx2lrq4Ou92OTqdDp9M1u2OtKAr19fVUVlZSWVlJRUUF1dXVxMXF0bdv3xZ3t202G5mZmWzZsoW1a9eydu1aUlJSsNlsnHXWWTz44IOn9QeUEI0iIyO55557uOeee6irqyMjI8PZNazxUVJSQlpaGj/++CNZWVnOFghJSUmMHDmSUaNGMWjQIPr27dtud7SPP/6Ym2++2flzcHAwcXFx1NbWUlFRQXl5ORaLhfr6egAmTJhASEgIX3zxBa6urnz66afcf//9xzykW11dHbt37wYcw8MmJyfTo0cP9Ho9FouF33//Hb1ej06nw2g0UlRU1OxRUFBAVlYWZWVlznXq9Xp69OhBr169uPnmm+nduzdDhgwhMTGxQ1vLmEwm8vLyyM3NJScnh9zcXPLz86moqHB+njU9KrDbm+fiGo2K+Hhfzjs3gfAIL4YPC8PV9cS74rSn8SRSQhAhhBCnuq4KPl54YT2vvraRPn0C+fKLgZSWzAbku1OI1kjLj8M0NDTg7t4yldPpdLi7u1NfX9/sjvahfHx8GDVqFAMGDCAnJ4c9e/awb98+TCYTAImJiYwePZrRo0czfvx4evXq1anHIsSpzGg0kpGRQUpKCuvXr2f9+vWkpKRgtTqGXIuJiaFfv3707t2boKAg/Pz88PX1dT68vLwoLCxk/fr1LFmyhIKCAmfBYZ1O5/z30LCyqqqK2tpaBg0axJo1a3Bzczvm/c7Ly+Pvv/9m2bJlLF++nPz8fOc+H87FxYXQ0NBmj9jYWGJjY4mJiSE2NpawsLBjquehKAq5ubls3LiRwsJC7HZ7i4fZbKawsJC8vDzno7FAbaOAgAAiIyPx9/fHz8+v2SMgIICgoCACAwOd//r7+zv382Sd4MmJmxBCiO6is747p06dx/YdJQAMSA7m6mseZM6cOad0XY/2dLfrTmn5cWqR8KMV77//Pq+88grp6enNXg8NDWXq1KmMGTOGqKgo/Pz88Pf3x8vLi3379rFmzRrWrFnD7t27iY2NpU+fPs5HcnIywcHBXXREQpweGhoa2LdvH7t27XI+9u3b52xh1drHlbe3N5GRkURFRTkfsbGxzuDk8IDDarWiVqs79KSgMXBoHBUlJyeH7OxsCgsLqa2tbTWgUKvVeHt7Ox8+Pj7OfyMiIvDx8Wm2jU2bNvHss8+yfv16iouLAUerEY1G4zyexkdj6BIZGel8REREEB0dTXR0NJGRka2GvJ3pWE76JPQQQgjRHXVGAKIoCtk5NezaNY4lS5Ywb948pk+fzosvvkjfvn07fHudrbtdd0r4cWqR8OMIFEVh+/btvPLKK8ybN6/ZXem+ffsyd+5cBgwY0MV7KUT3Z7fbqa2tpaqqyjkCU1FREbm5uc5HY7eOxnBArVaTkJBAv379SE5OJjk5mf79+xMfH39Co6cYDAYyMzOddTsa/83MzGT//v3U1dUBjpYfvr6+qFSqFgGFzWZzjh7VGm9vb2dY4enpyfz58+nbty8zZ85k+PDhDBs2TEaLEkIIIU5hnd1SsrWbBYsWLeLmm2+msLCQyZMnM2vWLKZNm3bMXX27Sne77mw8ntn/902nhB+vP39Vt/ldnQwSfhwDw/+3d7dBbdULHsd/CZCEBAKBQAItz5QWLuMT7c7g1KXce4eiVafujK7XN9ZWe2cdR+feGZ3ZfVPc3e7eu5bdHftC7e6MHV/sg3Vn7hvHW2dFvVorrehdrNBqEQwlAdpACOFZyL5IG6W9fUgbIITvZ+Y/Sc45nPM/aac9/x//h4kJnT59Wl1dXfrqq6/05ptvat26dfroo49WumoAfmR8fFxdXV3R3iNffvmlOjs7o0M/rFar6urq9Nxzz+mhhx66ai+QhYUF9fX1qbOzc1E5e/ZstBdKWlqa1q+3av16u4qKMrWhMkcVldnaUJmj4mK7UlN/OPfVlqYLhUIKBoMKBoMaHR3VwMCAPB5PdG4Or9ernTt36vnnn4/r8rwAACB+lmNY6I30jpydndVbb72lV199VZ988onm5+dVVVWlhoYG3X333aqvr1dVVVVCzjuYbO1Owo/EQvhxk06dOqVt27Zp48aNOnbs2EpXB8ANGBoaigYYb7/9tt5//31VV1ertbVV9957r/x+v44ePaoPP/zw4nEdmpyckyTl5FhUU+OMlGqnKisdKirKVH6+TUbjrT88MNQDAIDVY6UmOI3V2NiMjh07pw8+8Kj9hFdnzowoHA4rJydHW7ZsiZa77rpLhYWFKz5XSLK1O38IP/5DZkucw4/pSf3rbx5Lmu9qORB+3ASv16stW7YoLy9PbW1tMS/TCWD5XOvh5LMOn37720/1hz/06yc/caq726+FhbA2bcpVbW0k5Kipcaq6Olcul21ZfkNCCAIAQOJbLeHH5cyWv1V7e7s+/fRTnTx5UidOnNDwcGTCVIvFovLycpWXl6uiokIVFRVqbGxUbW3tstUv2dqdl+7nV3+9NOHHv/wj4UcsWOr2Jrz88svy+XxqaWnR119/HV0RwW63J2T3MWC1Wa4His11Bfrv/9qpf/v3P6qjY1B79tyun/20RG53xpJfm5ADAIDV62b/H1+J0OTyujY1NampqUnSD6vIdXZ2qqenJ1reeecd9fb2ymg06siRI9qxY8eK9woBblVM4cf8/LxOnjyp4uJiuVyuK/a1t7drYGBAmzdvVllZ2aL9MzMzamtr0+eff65AIKCxsbErXoPBoIqLi9XQ0KBt27Zp69atyszMvPW7jLPx8XGFw2Ht3bt30fa0tDQ5nU41NTXphRdeUE1NzQrVEFgdEuG3JkajQb/ce+eyXzcR7h0AACS/6z1zWMzSn22JFMkgqVJSpWZmvtfeX/5eDz74oIxGg7KzzXI4LMrPr5bT6VRubq6cTqfuuece3XfffUpNXdy0DIfDCoVCGhoaUigUUklJiRwOx1LdZoIzXCzxPidiEdOwl9tuy1NnZ2TCwNzcdG3alKvq6lwFx2b03nt98o9MR39mwwaHfvbTUtXWOvXBhx4dPdqr8fFZORwWORwW2TNNsmeZZc80KdNuVpbdrIyMNH1zdlTHjw9oeHhSKSkGVVfnanNdgerq3Lr99nwVFGQoM9O04j0s5ubmNTo6rQv+KY34p+T3T2lkZFpeX0hHjnTL55tQ1QaHcnLT5XBYlJ1tUc7Fe892RN5n2s1KMRqUkmKQ0WiQMcWgFKNRxovbDEaDUowG5eSmKz9veZelBAAAALC2zc3Nq+397zQ0OKGR0WmNjkxravo2+f1++f1++Xw+9fX1qbCwUNu3b1cgENDg4KCGhoY0ODioycnJRedzOBzRITWXSmVlpSorK1VQUKDx8fEkHfbyn0s07OUXSfNdLYeYwo/y8mz9/d/9uaanv1d3t1/d3RfUfdovkylFP/95qbZvL1dZaZba27363/f61Nb2nQYHJ7RxY44euL9S99+/QZs25Vw3uAiHw/r224A+OT6gzz4bVEeHT998MxrdbzanyOlMV57TKmeeVXl5VuXnW1VUZFdZaZZKS7NVWJgRl0kIb8bs7Lx+97uv9X+dwxq9+I/EaGBao6PTCgSmFQjMxHS+tDSjer/9K6Wl3fzSnAAAAABws6421OeLL77QoUOHdOLECeXn58vlcsntdkdf3W63rFar+vr6Fg2t6enp0blz56LnsVqteuSRR3T48OGkadBfakf/+m+WJvz4538g/IhFTOHHqS+fVF4MPRDC4bD8/ik5nbf+Bx0ITKu726/h4QmdPz+l8xcmdf78j8rwpLy+kBYWIrdjNqeopNiu4uIsZTvMstvNysoyy55plj3LpCx7ZNul7SZTivz+KQ0NTWj4/ISGhyY1PDyhoeHI+Q0GyWZLk82aJpvNJKs1VTabSTZbmqy2tMirNfJa4M5QSYld2dmWP3kv8/MLCgRmFAhEeoqc6x+XzxeS1xeSzxuSbzAkny+kkYs9abZuXa//eesvbvk7BAAAAIBYLOU8ZVNTU+rt7dXZs2fV09Oj7Oxs7d69O2ka9IQfiSWmOT8slth6HhgMhrgEH5KUnW1Rff26ax4zOzuv/v6g+vrG1Ns7pt6+gPr7gzp3blxjYxc0HpzVWHBG4+Oz16l3ZFiPy2VTfr5V5WXZkqSJiVlNTM7p/IWpyPuJuUXlcna7ScXFdpWUZKm4yK6FcFjegZAGvJGwY2hoMhrWSJLJZJQr36Z8l0319eui7x/9y+rYvzAAAAAAuAnLNTF7enq6ampqonMlBoNB7d69e1muvawMhkiJ9zkRk6Ra7cVkSlFFhUMVFdeeSGd+fkGh0JyCwRkFgzMaG5vR9PT3cjojw2ecTqtSU2ObzXhhIaypqe8VCs3K6w3J4xmTxxPUd56gPJ4x/f7ot0pNNaqgIENVVbna1lCigsIMrSvMUEFhhtwumxwOy4rPZQIAAABgbWI1OiSzpAo/blRKilFZWZHhLvFiNBoiw2JsaXK5bLrzTtf1fwgAAKwJNCgAYO1irZfEsCbDD6wsHgABAAAArBkMe0kIhB+4JQQZAAAAAIBEF1P4kZf/T0k1k+zw0HMrXYWEQIABAAAAAEuDjh+JYU33/Lheo38lwxECCQAAAAAA4mNNhx/XQwABAAAAALgldP1ICLGt5woAAAAAALDKEH4AAAAAALBEDEtUlkJfX5/27NmjsrIypaenq6KiQvv27dPs7Oyi4zwejx544AHZbDY5nU49++yzVxyTaBj2AgAAAAAAdPr0aS0sLOi1115TZWWlTp06paeeekoTExM6cOCAJGl+fl47duxQXl6ePv74Y/n9fj3++OMKh8M6ePDgCt/B1RF+AAAAAACwVFbRnB/Nzc1qbm6Ofi4vL9eZM2f0yiuvRMOPd999V11dXerv71dhYaEkqbW1Vbt27dL+/fsTdoXYmMKPYDC4VPUAAAAAAKxhydrenJmZXLJzXv6dmc1mmc3muF5rbGxMOTk50c/Hjx9XbW1tNPiQpO3bt2tmZkYdHR1qbGyM6/Xj5YbCD5PJJLfbraKioqWuDwAAAABgjXK73TKZTCtdjbi41I5++TePL8n5MzIyrmij79u3Ty0tLXG7Rk9Pjw4ePKjW1tbotsHBQblcrkXHORwOmUwmDQ4Oxu3a8XZD4YfFYlFvb2/CT2ACAAAAAFi9TCaTLBbLSlcjLpa6HR0Oh2W4bPjL1Xp9tLS06MUXX7zm+U6ePKnNmzdHP3u9XjU3N+vhhx/Wk08+uejYy697tfokkhse9mKxWJLmLyEAAAAAAEstUdrRzzzzjB599NFrHlNaWhp97/V61djYqPr6eh06dGjRcW63W+3t7Yu2jY6Oam5u7ooeIYmECU8BAAAAAEhiTqdTTqfzho4dGBhQY2Oj6urq9Prrr8toNC7aX19fr/3798vn86mgoEBSZBJUs9msurq6uNc9XgzhcDi80pUAAAAAAAAry+v1qqGhQcXFxXrjjTeUkpIS3ed2uyVFlrq944475HK59NJLL2lkZES7du3Szp07E3qpW8IPAAAAAACgw4cP64knnviT+34cHXg8Hj399NNqa2tTenq6HnvsMR04cCDuK83EE+EHAAAAAABIasbrHwIAAAAAALB6EX4AAAAAAICkRvgBAAAAAACSGuEHAAAAAABIaoQfAAAAAAAgqRF+AAAAAACApEb4AQAAAAAAkhrhBwAAAAAASGqEHwAAAAAAIKkRfgAAAAAAgKRG+AEAAAAAAJLa/wNZKsnEXgVB+QAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if len(caseNames) == 1:\n",
    "    plotTCI_case(\"JJA\", None)\n",
    "    plotTCI_case(\"DJF\", None)\n",
    "\n",
    "    plotScatter(\"JJA\", None)\n",
    "    plotScatter(\"DJF\", None)\n",
    "else:\n",
    "    for iCase in range(len(caseNames)):\n",
    "        plotTCI_case(\"JJA\", iCase)\n",
    "        plotTCI_case(\"DJF\", iCase)\n",
    "\n",
    "        plotScatter(\"JJA\", iCase)\n",
    "        plotScatter(\"DJF\", iCase)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "cupid-analysis",
   "language": "python",
   "name": "cupid-analysis"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.4"
  },
  "papermill": {
   "duration": 29.973239,
   "end_time": "2025-10-28T23:29:53.873314",
   "exception": null,
   "input_path": "/glade/derecho/scratch/richling/tmp/tmpsdmpuxgu.ipynb",
   "output_path": "/glade/work/richling/CUPid_pr_test/CUPiD/examples/key_metrics/computed_notebooks/lnd/Global_TerrestrialCouplingIndex_VisualCompareObs.ipynb",
   "parameters": {
    "CESM_output_dir": "/glade/campaign/cesm/development/cross-wg/diagnostic_framework/CESM_output_for_testing",
    "base_case_name": "b.e30_alpha07c_cesm.B1850C_LTso.ne30_t232_wgx3.228",
    "base_end_date": "0045-01-01",
    "base_start_date": "0001-01-01",
    "case_name": "b.e30_alpha07c_cesm.B1850C_LTso.ne30_t232_wgx3.232",
    "clmFile_h": "clm2.h0a",
    "end_date": "0021-01-01",
    "fluxnet_comparison": true,
    "lc_kwargs": {
     "threads_per_worker": 1
    },
    "obsDir": "lnd/analysis_datasets/ungridded/timeseries/FLUXNET2015/",
    "obs_data_dir": "/glade/campaign/cesm/development/cross-wg/diagnostic_framework/CUPiD_obs_data",
    "product": "/glade/work/richling/CUPid_pr_test/CUPiD/examples/key_metrics/computed_notebooks//lnd/Global_TerrestrialCouplingIndex_VisualCompareObs.ipynb",
    "serial": false,
    "start_date": "0001-01-01",
    "subset_kwargs": {},
    "ts_dir": null
   },
   "start_time": "2025-10-28T23:29:23.900075"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}