{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Funcionalidad principal de [banrep][pypi_banrep]\n",
    "[pypi_banrep]: https://pypi.org/project/banrep/\n",
    "\n",
    "## versión 6.0.1\n",
    "\n",
    "Este ejemplo muestra las principales funciones y clases de la librería.\n",
    "\n",
    "En su uso contidiano no toda la funcionalidad de la librería se usaría simultáneamente."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Requerimientos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Importamos las otras librerías utilizadas en este ejemplo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from collections import Counter\n",
    "from pathlib import Path\n",
    "import logging\n",
    "\n",
    "from wordcloud import WordCloud\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "import spacy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Y lo que usaremos de la librería [banrep][pypi_banrep]\n",
    "[pypi_banrep]: https://pypi.org/project/banrep/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from banrep import tabulados\n",
    "from banrep.io import Textos, crear_carpeta, leer_palabras, leer_jsonl, guardar_jsonl\n",
    "from banrep.linguistica import Frases\n",
    "from banrep.transforma import Bags, NgramFrases, Topicos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Configuremos registro de eventos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "logfmt = '%(asctime)s : %(levelname)s : %(message)s'\n",
    "logdatefmt = '%Y-%m-%d %H:%M:%S'\n",
    "logging.basicConfig(format=logfmt, datefmt=logdatefmt, level=logging.INFO)\n",
    "\n",
    "logging.getLogger(\"gensim\").setLevel(logging.CRITICAL)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Necesitamos un modelo NLP para español de [spaCy][spacy_models]\n",
    "[spacy_models]: https://spacy.io/models\n",
    "\n",
    "Un modelo de spaCy es el que permite \"tokenizar\" el texto en frases y palabras, identificar categorías gramaticales de las palabras, agregar metadata, identificar \"Named Entities\", entre otros."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "nlp = spacy.load('es_core_news_md')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cargar listas de palabras y expresiones\n",
    "\n",
    "A lo largo de un análisis de textos se suele querer identificar palabras o expresiones presentes en ellos, bien sea para excluirlas del análisis (ej. *stopwords*), o porque su conteo es útil para generar indicadores (ej. *sentimiento*), o porque el análisis se quiere limitar a estudiar aquellos textos que tienen cierto tipo de contenido (ej. *expresiones relacionadas con política económica*)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Centralizar por proyecto\n",
    "\n",
    "En cada proyecto se va a querer tener la flexibilidad para personalizar las palabras y expresiones que se quiere identificar. Para esto se recomienda usar hojas de excel, donde cada hoja puede contener categorías de palabras o expresiones. No es necesario usar un mismo archivo excel, pero facilita tener dichas listas de palabras centralizadas para abrir un solo archivo."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Uso de función: `leer_palabras`\n",
    "\n",
    "Para este ejemplo se quiere identificar (a) palabras *stopwords*, (b) palabras que identifican categorías de *sentimiento*, y (c) expresiones relacionadas con *incertidumbre en política económica*.\n",
    "\n",
    "**Nota:** *Dado que estamos iterando un mismo archivo, este ejemplo asume que las columnas relevantes tienen el mismo nombre en cada hoja.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mSignature:\u001b[0m \u001b[0mleer_palabras\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marchivo\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhoja\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mc_grupo\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mc_palabras\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mDocstring:\u001b[0m\n",
       "Extrae grupos de palabras de un archivo Excel.\n",
       "\n",
       "Parameters\n",
       "----------\n",
       "archivo : str | Path\n",
       "    Ruta del archivo Excel en disco.\n",
       "hoja : str\n",
       "    Hoja de cálculo de archivo Excel.\n",
       "c_grupo : str\n",
       "    Nombre de columna para determinar grupos.\n",
       "c_palabras : str\n",
       "    Nombre de columna que contiene palabras de cada grupo.\n",
       "\n",
       "Returns\n",
       "-------\n",
       "dict (str:set)\n",
       "   Grupos de palabras en cada grupo.\n",
       "\u001b[0;31mFile:\u001b[0m      ~/munozbravo/banrep/banrep/io.py\n",
       "\u001b[0;31mType:\u001b[0m      function\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "leer_palabras?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "dirdata = Path(\"/Volumes/tombitoT5/Dropbox/Dropbox/datasets/\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "listas = dict()\n",
    "hojas = ['es_stops', 'es_emocion', 'es_epu']\n",
    "\n",
    "wlpath = dirdata.joinpath(\"wordlists\", \"banrep.xlsx\")\n",
    "for hoja in hojas:\n",
    "    listas[hoja] = leer_palabras(wlpath, hoja, c_grupo='type', c_palabras='word')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Stopwords\n",
    "\n",
    "Generalmente se quiere ignorar palabras comunes a todos los textos, llamadas *stopwords*, por no aportar al entendimiento de los diferentes textos."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Ejemplo de stopwords en excel\n",
    "\n",
    "![](img/stopwords.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "821 palabras stopwords.\n"
     ]
    }
   ],
   "source": [
    "stopwords = listas['es_stops'].get(\"stopword\")\n",
    "\n",
    "print(f'{len(stopwords)} palabras stopwords.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pertenencia a listas de palabras predefinidas\n",
    "\n",
    "Muchas veces se quiere contabilizar cuantas palabras de cada documento hacen parte de listas de palabras predefinidas. Por ejemplo, puedo tener listas de palabras \"positivas\" y \"negativas\", y querer contar cuantas palabras de los textos que voy a analizar hacen parte de estas listas. Esto sirve, por ejemplo, para crear indicadores de sentimiento basados en el conteo de palabras que pertenecen a emociones \"contrarias\"."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Ejemplo de emociones en excel\n",
    "\n",
    "![](img/emocion.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1899 palabras en grupo deterioro\n",
      "359 palabras en grupo mejora\n"
     ]
    }
   ],
   "source": [
    "wordlists = listas['es_emocion']\n",
    "\n",
    "for tipo in wordlists:\n",
    "    print(f'{len(wordlists.get(tipo))} palabras en grupo {tipo}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pertenencia a listas de expresiones predefinidas\n",
    "\n",
    "Al igual que con listas de palabras, a veces se quiere identificar frases de los textos en las que hay presencia de ciertas expresiones. Por ejemplo, un índice reconocido es el [Economic Uncertainty Index][epu], cuyos resultados se basan en el conteo de noticias en las que se encuentren diferentes expresiones relacionadas con incertidumbre en política económica. Por ejemplo, puedo querer identificar expresiones como *Banco de la República*, *déficit fiscal*, *política monetaria*, *inflación de alimentos*, *incertidumbre tributaria*, etc.\n",
    "\n",
    "Identificar estas expresiones sirve también para proyectos en los que se quiere crear un [training set][prodigy] para entrenar un modelo de clasificación basado en *aprendizaje de máquina*, dado que el primer paso para dichos modelos es anotar una serie de frases que sean relevantes para lo que se quiere entrenar.\n",
    "\n",
    "\n",
    "[epu]: http://www.policyuncertainty.com/research.html\n",
    "[prodigy]: https://prodi.gy/docs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Ejemplo de expresiones en excel\n",
    "\n",
    "![](img/epu.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 expresiones en grupo colombia\n",
      "16 expresiones en grupo economic\n",
      "80 expresiones en grupo policy\n",
      "2 expresiones en grupo uncertainty\n"
     ]
    }
   ],
   "source": [
    "express = listas['es_epu']\n",
    "\n",
    "for tipo in express:\n",
    "    print(f'{len(express.get(tipo))} expresiones en grupo {tipo}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preprocesamiento de texto y filtros"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Textos a usar\n",
    "\n",
    "Se asume una carpeta en disco en la que hay archivos de texto. \n",
    "\n",
    "Si los textos que quiere utilizar están en archivos binarios como *.pdf*, *.docx*, etc., debe primero [extraer el texto][extraccion].\n",
    "\n",
    "[extraccion]: https://munozbravo.github.io/banrep/uso_extraccion/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Uso de clase: `Textos`\n",
    "\n",
    "Se usa para iterar los archivos planos en disco y extraer su texto."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mInit signature:\u001b[0m \u001b[0mTextos\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcarpeta\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrecursivo\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maleatorio\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexts\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mchars\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mDocstring:\u001b[0m     \n",
       "Texto y metadata de párrafos en textos de archivos planos.\n",
       "\n",
       "Parameters\n",
       "----------\n",
       "carpeta : str | Path\n",
       "    Directorio a iterar.\n",
       "recursivo: bool\n",
       "    Iterar recursivamente.\n",
       "aleatorio : bool\n",
       "    Iterar aleatoriamente.\n",
       "exts: Iterable[str]\n",
       "    Solo considerar estas extensiones de archivo.\n",
       "chars : int\n",
       "    Mínimo número de caracteres en una línea de texto.\n",
       "\n",
       "Yields\n",
       "------\n",
       "tuple (str, dict)\n",
       "    Texto y metadata de cada párrafo.\n",
       "\u001b[0;31mInit docstring:\u001b[0m\n",
       "Requiere: carpeta.\n",
       "\n",
       "Opcional: recursivo, aleatorio, exts, chars.\n",
       "\u001b[0;31mFile:\u001b[0m           ~/munozbravo/banrep/banrep/io.py\n",
       "\u001b[0;31mType:\u001b[0m           type\n",
       "\u001b[0;31mSubclasses:\u001b[0m     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Textos?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Alternativas a `Textos`: `Registros` y `Datos`\n",
    "\n",
    "Los textos a analizar pueden también estar en archivos *Excel* o *csv*, o en un DataFrame ya cargado en memoria. Para esos casos usar clases `Registros` y `Datos`respectivamente.\n",
    "\n",
    "**Nota:** *Las clases `Textos`, `Registros` y `Datos` no almacenan el texto extraído sino que lo extraen, un documento a la vez, cada vez que se requiera.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "from banrep.io import Registros, Datos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mInit signature:\u001b[0m\n",
       "\u001b[0mRegistros\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mcarpeta\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mtextcol\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mmetacols\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mrecursivo\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mexts\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mchars\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mhoja\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mDocstring:\u001b[0m     \n",
       "Texto y metadata de registros en archivos csv o Excel.\n",
       "\n",
       "Parameters\n",
       "----------\n",
       "carpeta : str | Path\n",
       "    Ruta de carpeta que se quiere iterar.\n",
       "textcol : str\n",
       "    Nombre de columna que contiene texto en sus filas.\n",
       "metacols : list\n",
       "    Nombre de columnas a incluir como metadata.\n",
       "recursivo: bool\n",
       "    Iterar recursivamente.\n",
       "exts: Iterable\n",
       "    Solo considerar estas extensiones de archivo.\n",
       "chars : int\n",
       "    Mínimo número de caracteres en una línea de texto.\n",
       "hoja : str\n",
       "    Nombre de hoja en archivo excel.\n",
       "\n",
       "Yields\n",
       "------\n",
       "tuple (str, dict)\n",
       "    Texto y metadata de cada registro.\n",
       "\u001b[0;31mInit docstring:\u001b[0m\n",
       "Requiere: carpeta, textcol, metacols.\n",
       "\n",
       "Opcional: recursivo, exts, chars, hoja.\n",
       "\u001b[0;31mFile:\u001b[0m           ~/munozbravo/banrep/banrep/io.py\n",
       "\u001b[0;31mType:\u001b[0m           type\n",
       "\u001b[0;31mSubclasses:\u001b[0m     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Registros?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mInit signature:\u001b[0m \u001b[0mDatos\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtextcol\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmetacols\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mchars\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mDocstring:\u001b[0m     \n",
       "Texto y metadata de registros en DataFrame.\n",
       "\n",
       "Parameters\n",
       "----------\n",
       "df : pd.DataFrame\n",
       "    DataFrame que contiene los textos.\n",
       "textcol : str\n",
       "    Nombre de columna que contiene texto en sus filas.\n",
       "metacols : list\n",
       "    Nombre de columnas a incluir como metadata.\n",
       "chars : int\n",
       "    Mínimo número de caracteres en una línea de texto.\n",
       "\n",
       "Yields\n",
       "------\n",
       "tuple (str, dict)\n",
       "    Texto y metadata de cada registro.\n",
       "\u001b[0;31mInit docstring:\u001b[0m\n",
       "Requiere: df, textcol, metacols.\n",
       "\n",
       "Opcional: chars.\n",
       "\u001b[0;31mFile:\u001b[0m           ~/munozbravo/banrep/banrep/io.py\n",
       "\u001b[0;31mType:\u001b[0m           type\n",
       "\u001b[0;31mSubclasses:\u001b[0m     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Datos?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Estructura en disco\n",
    "\n",
    "En este caso tengo archivos planos organizados en carpetas según la fuente o tipo de documento.\n",
    "\n",
    "![](img/tree.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "dirtextos = dirdata.joinpath(\"banrep/corpus/es\")\n",
    "datos = Textos(dirtextos, recursivo=True, aleatorio=False, exts=['.txt'], chars=59)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Filtros: palabras y tokens a ignorar\n",
    "\n",
    "Se obtendrá información detallada de cada palabra gracias a [spaCy][web_spacy], lo que permite filtrar adicionalmente por criterios como [categoría gramatical][universal] (verbos, sustantivos, etc), si es algún tipo de [Named Entity][spacy_ents] (Juan, Colombia, Banco de la República), si contiene caracteres que no hacen parte del alfabeto (números, monedas, etc), o si no supera una longitud mínima. \n",
    "\n",
    "[web_spacy]: https://spacy.io/\n",
    "[universal]: https://universaldependencies.org/es/index.html\n",
    "[spacy_ents]: https://spacy.io/api/annotation#named-entities"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En este caso elimino de cualquier análisis posterior todas las *stopwords* del archivo excel, las categorías gramaticales que identifican números, puntuación y símbolos, y aquellas \"palabras\" o tokens que contengan caracteres que no hacen parte del alfabeto. También elimino palabras que no tengan más de dos caracteres. También podría eliminar [Named Entities][spacy_ents], en este caso no elimino ninguna.\n",
    "\n",
    "[spacy_ents]: https://spacy.io/api/annotation#named-entities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "pos = ['NUM', 'PUNCT', 'SYM']\n",
    "dep = []\n",
    "ents = []\n",
    "\n",
    "filtros = dict(is_alpha=True, lower_=stopwords, pos_=pos, dep_=dep, ent_type_=ents, chars=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Anotaciones lingüísticas de frases\n",
    "\n",
    "`Frases` itera sobre los textos procesando cada uno con el modelo [spaCy][spacy_models], y opcionalmente con los filtros especificados anteriormente, las listas de palabras que se quiere contar, y los Named Entities que se quiere encontrar.\n",
    "\n",
    "[spacy_models]: https://spacy.io/models"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Uso de clase: `Frases`\n",
    "\n",
    "Se usa para procesar lingüísticamente los textos y extraer detalles de frases.\n",
    "\n",
    "**Nota:** *La clase `Frases` no almacenan los documentos procesados sino que los procesa, un documento a la vez, cada vez que se requiera.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mInit signature:\u001b[0m \u001b[0mFrases\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlang\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdatos\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtk\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfiltros\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgrupos\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mentes\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mDocstring:\u001b[0m     \n",
       "Anotaciones lingüísticas de cada frase en corpus.\n",
       "\n",
       "Parameters\n",
       "----------\n",
       "lang : spacy.language.Language\n",
       "    Modelo de lenguaje spaCy.\n",
       "datos : Iterable (str, dict)\n",
       "    Información de cada documento (texto, metadata).\n",
       "tk : int, optional\n",
       "    Filtro para número mínimo de tokens válidos en frases.\n",
       "filtros : dict, optional\n",
       "    Filtros a evaluar en cada token.\n",
       "    (is_alpha, lower_, pos_, dep_, ent_type_, chars)\n",
       "grupos : dict (str: set), optional\n",
       "    Grupos de listas de palabras a identificar.\n",
       "entes : dict (str: set), optional\n",
       "    Grupos de expresiones a considerar como Entities.\n",
       "\n",
       "Yields\n",
       "------\n",
       "dict (text: str, tokens: list[dict], meta: dict)\n",
       "    Anotaciones lingüísticas de cada frase.\n",
       "\u001b[0;31mInit docstring:\u001b[0m\n",
       "Requiere: lang, datos.\n",
       "\n",
       "Opcional tk, filtros, grupos, entes.\n",
       "\u001b[0;31mFile:\u001b[0m           ~/munozbravo/banrep/banrep/linguistica.py\n",
       "\u001b[0;31mType:\u001b[0m           type\n",
       "\u001b[0;31mSubclasses:\u001b[0m     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Frases?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "frases = Frases(nlp, datos, tk=4, filtros=filtros, grupos=wordlists, entes=express)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Uso de funciones: `crear_carpeta`, `guardar_jsonl`, `leer_jsonl`\n",
    "\n",
    "Una vez se procesa lingüísticamente un conjunto de documentos se suele querer guardar el detalle de cada frase procesada. Esto incluye su texto, su metadata, y los tokens que la componen (con sus anotaciones lingüísticas). \n",
    "\n",
    "Almacenar frases procesadas sirve para no mantenerlas en memoria, pero también para usarlas en proyectos de machine learning en los que el primer paso es contar con un [training set][prodigy].\n",
    "\n",
    "[prodigy]: https://prodi.gy/docs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mSignature:\u001b[0m \u001b[0mcrear_carpeta\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnombre\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mDocstring:\u001b[0m\n",
       "Crea nueva carpeta en disco si no existe.\n",
       "\n",
       "Si no es ruta absoluta será creada relativo a carpeta de trabajo.\n",
       "\n",
       "Parameters\n",
       "----------\n",
       "nombre : str | Path\n",
       "    Nombre de carpeta a crear.\n",
       "\n",
       "Returns\n",
       "-------\n",
       "Path\n",
       "    Ruta absoluta de carpeta.\n",
       "\u001b[0;31mFile:\u001b[0m      ~/munozbravo/banrep/banrep/io.py\n",
       "\u001b[0;31mType:\u001b[0m      function\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "crear_carpeta?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mSignature:\u001b[0m \u001b[0mguardar_jsonl\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marchivo\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mobjs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mDocstring:\u001b[0m\n",
       "Guarda objetos json en archivo.\n",
       "\n",
       "Parameters\n",
       "----------\n",
       "archivo : str | Path\n",
       "    Ruta del archivo en el cual se quiere guardar objetos json.\n",
       "objs : Iterable[dict]\n",
       "    Contenido de cada objeto json a guardar.\n",
       "\u001b[0;31mFile:\u001b[0m      ~/munozbravo/banrep/banrep/io.py\n",
       "\u001b[0;31mType:\u001b[0m      function\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "guardar_jsonl?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mSignature:\u001b[0m \u001b[0mleer_jsonl\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marchivo\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mDocstring:\u001b[0m\n",
       "Lee objetos json de archivo.\n",
       "\n",
       "Parameters\n",
       "----------\n",
       "archivo : str | Path\n",
       "    Ruta del archivo del cual se quiere leer objetos json.\n",
       "\n",
       "Yields\n",
       "------\n",
       "dict\n",
       "   Contenido de cada objeto json.\n",
       "\u001b[0;31mFile:\u001b[0m      ~/munozbravo/banrep/banrep/io.py\n",
       "\u001b[0;31mType:\u001b[0m      function\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "leer_jsonl?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "carpeta = crear_carpeta(\"output\")\n",
    "graficas = crear_carpeta(carpeta.joinpath('graficas'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-04-10 14:00:48 : INFO : 10000 párrafos leídos de 32 archivos en carpeta 'es'.\n",
      "2020-04-10 14:02:41 : INFO : 20000 párrafos leídos de 78 archivos en carpeta 'es'.\n",
      "2020-04-10 14:03:01 : INFO : 50000 frases procesadas lingüísticamente.\n",
      "2020-04-10 14:04:35 : INFO : 30000 párrafos leídos de 122 archivos en carpeta 'es'.\n",
      "2020-04-10 14:06:16 : INFO : 40000 párrafos leídos de 285 archivos en carpeta 'es'.\n",
      "2020-04-10 14:06:36 : INFO : 100000 frases procesadas lingüísticamente.\n",
      "2020-04-10 14:07:17 : INFO : Guardados 110799 registros en frases.jsonl\n"
     ]
    }
   ],
   "source": [
    "fp = carpeta.joinpath(\"frases.jsonl\")\n",
    "guardar_jsonl(fp, frases)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Como en este punto ya se ha iterado sobre los textos y frases, podemos ver cuantos textos y frases hemos iterado."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "44844 párrafos leídos de 300 archivos en carpeta 'es'.\n"
     ]
    }
   ],
   "source": [
    "print(datos)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "110799 frases procesadas lingüísticamente.\n"
     ]
    }
   ],
   "source": [
    "print(frases)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "frases = [frase for frase in leer_jsonl(fp)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Uso de clase: `NgramFrases`\n",
    "\n",
    "Una vez se tienen las palabras pertenecientes a cada frase, usualmente se identifican n-gramas. Es decir, palabras que co-ocurren frecuentemente y que por eso podrían considerarse como una sola palabra. Para esto primero se crea un modelo de n-gramas, y luego se le aplica este modelo a cualquier frase para encontrar n-gramas.\n",
    "\n",
    "La clase `NgramFrases` permite generar dicho modelo e iterar sobre las frases para identificar n-gramas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mInit signature:\u001b[0m \u001b[0mNgramFrases\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfrases\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mattr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'lower_'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m10.0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mDocstring:\u001b[0m     \n",
       "Info de frases incluyendo n-gramas.\n",
       "\n",
       "Parameters\n",
       "----------\n",
       "frases : Iterable[dict (text: str, tokens: list[dict], meta: dict)]\n",
       "    Anotaciones lingüísticas de cada frase.\n",
       "attr : str\n",
       "    Atributo a usar como texto de cada token (text | lower_)\n",
       "th : float\n",
       "    Score Threshold para formar n-gramas.\n",
       "    Ver https://radimrehurek.com/gensim/models/phrases.html\n",
       "\n",
       "Yields\n",
       "------\n",
       "dict (text: str, tokens: list[str], meta: dict)\n",
       "    Info de cada frase incluyendo n-gramas.\n",
       "\u001b[0;31mInit docstring:\u001b[0m\n",
       "Requiere: frases.\n",
       "\n",
       "Opcional attr, th.\n",
       "\u001b[0;31mFile:\u001b[0m           ~/munozbravo/banrep/banrep/transforma.py\n",
       "\u001b[0;31mType:\u001b[0m           type\n",
       "\u001b[0;31mSubclasses:\u001b[0m     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "NgramFrases?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-04-10 14:12:57 : INFO : Modelo de bi-gramas creado.\n",
      "2020-04-10 14:13:11 : INFO : Modelo de tri-gramas creado.\n"
     ]
    }
   ],
   "source": [
    "ng_frases = NgramFrases(frases)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tabulados\n",
    "\n",
    "Es posible que se prefiera trabajar con texto en una estructura tradicional de análisis de datos.\n",
    "Para esto se pueden generar DataFrames de los detalles de frases y palabras en un corpus."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Estadísticas desagregadas por token\n",
    "\n",
    "Muchas veces el acceso a las palabras desagregadas es deseado, por ejemplo para contar las palabras más frecuentes en un documento o en el corpus, o para limitar el conteo a palabras que hacen parte de una categoría gramatical específica (ej. sustantivos, verbos). También es relevante para el cálculo de indicadores de sentimiento que se basan en conteos de palabras con diferentes tipos de \"emociones\"."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Uso de función: `tabulados.df_tokens`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mSignature:\u001b[0m \u001b[0mtabulados\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdf_tokens\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfrases\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mng\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mDocstring:\u001b[0m\n",
       "DataFrame de tokens en frases.\n",
       "\n",
       "Parameters\n",
       "----------\n",
       "frases : Iterable[dict (text: str, tokens: list[dict | str], meta: dict)]\n",
       "    Anotaciones lingüísticas o Info de cada frase.\n",
       "ng : Bool\n",
       "    Si frases contienen n-gramas.\n",
       "\n",
       "Returns\n",
       "-------\n",
       "pd.DataFrame\n",
       "    Anotaciones lingüísticas o Info de cada token.\n",
       "\u001b[0;31mFile:\u001b[0m      ~/munozbravo/banrep/banrep/tabulados.py\n",
       "\u001b[0;31mType:\u001b[0m      function\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tabulados.df_tokens?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>i</th>\n",
       "      <th>ent_type_</th>\n",
       "      <th>ent_iob_</th>\n",
       "      <th>lower_</th>\n",
       "      <th>is_alpha</th>\n",
       "      <th>is_oov</th>\n",
       "      <th>pos_</th>\n",
       "      <th>dep_</th>\n",
       "      <th>chars</th>\n",
       "      <th>ok_token</th>\n",
       "      <th>deterioro</th>\n",
       "      <th>mejora</th>\n",
       "      <th>id_parag</th>\n",
       "      <th>id_file</th>\n",
       "      <th>archivo</th>\n",
       "      <th>fuente</th>\n",
       "      <th>id_sent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1348494</th>\n",
       "      <td>control</td>\n",
       "      <td>357</td>\n",
       "      <td></td>\n",
       "      <td>O</td>\n",
       "      <td>control</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>NOUN</td>\n",
       "      <td>obj</td>\n",
       "      <td>7</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0044844</td>\n",
       "      <td>0000300</td>\n",
       "      <td>2019-05.txt</td>\n",
       "      <td>ref</td>\n",
       "      <td>0110799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1348495</th>\n",
       "      <td>niveles</td>\n",
       "      <td>360</td>\n",
       "      <td></td>\n",
       "      <td>O</td>\n",
       "      <td>niveles</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>NOUN</td>\n",
       "      <td>obj</td>\n",
       "      <td>7</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0044844</td>\n",
       "      <td>0000300</td>\n",
       "      <td>2019-05.txt</td>\n",
       "      <td>ref</td>\n",
       "      <td>0110799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1348496</th>\n",
       "      <td>posición</td>\n",
       "      <td>362</td>\n",
       "      <td></td>\n",
       "      <td>O</td>\n",
       "      <td>posición</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>NOUN</td>\n",
       "      <td>nmod</td>\n",
       "      <td>8</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0044844</td>\n",
       "      <td>0000300</td>\n",
       "      <td>2019-05.txt</td>\n",
       "      <td>ref</td>\n",
       "      <td>0110799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1348497</th>\n",
       "      <td>vigencia</td>\n",
       "      <td>366</td>\n",
       "      <td></td>\n",
       "      <td>O</td>\n",
       "      <td>vigencia</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>NOUN</td>\n",
       "      <td>obl</td>\n",
       "      <td>8</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0044844</td>\n",
       "      <td>0000300</td>\n",
       "      <td>2019-05.txt</td>\n",
       "      <td>ref</td>\n",
       "      <td>0110799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1348498</th>\n",
       "      <td>ATL</td>\n",
       "      <td>368</td>\n",
       "      <td></td>\n",
       "      <td>O</td>\n",
       "      <td>atl</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>PROPN</td>\n",
       "      <td>nmod</td>\n",
       "      <td>3</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0044844</td>\n",
       "      <td>0000300</td>\n",
       "      <td>2019-05.txt</td>\n",
       "      <td>ref</td>\n",
       "      <td>0110799</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             text    i ent_type_ ent_iob_    lower_  is_alpha  is_oov   pos_  \\\n",
       "1348494   control  357                  O   control      True   False   NOUN   \n",
       "1348495   niveles  360                  O   niveles      True   False   NOUN   \n",
       "1348496  posición  362                  O  posición      True   False   NOUN   \n",
       "1348497  vigencia  366                  O  vigencia      True   False   NOUN   \n",
       "1348498       ATL  368                  O       atl      True   False  PROPN   \n",
       "\n",
       "         dep_  chars  ok_token  deterioro  mejora id_parag  id_file  \\\n",
       "1348494   obj      7      True      False   False  0044844  0000300   \n",
       "1348495   obj      7      True      False   False  0044844  0000300   \n",
       "1348496  nmod      8      True      False   False  0044844  0000300   \n",
       "1348497   obl      8      True      False   False  0044844  0000300   \n",
       "1348498  nmod      3      True      False   False  0044844  0000300   \n",
       "\n",
       "             archivo fuente  id_sent  \n",
       "1348494  2019-05.txt    ref  0110799  \n",
       "1348495  2019-05.txt    ref  0110799  \n",
       "1348496  2019-05.txt    ref  0110799  \n",
       "1348497  2019-05.txt    ref  0110799  \n",
       "1348498  2019-05.txt    ref  0110799  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "palabras = tabulados.df_tokens(frases)\n",
    "palabras.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>token</th>\n",
       "      <th>id_parag</th>\n",
       "      <th>id_file</th>\n",
       "      <th>archivo</th>\n",
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       "      <th>974687</th>\n",
       "      <td>control</td>\n",
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       "      <td>ref</td>\n",
       "      <td>0110799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>974688</th>\n",
       "      <td>niveles</td>\n",
       "      <td>0044844</td>\n",
       "      <td>0000300</td>\n",
       "      <td>2019-05.txt</td>\n",
       "      <td>ref</td>\n",
       "      <td>0110799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>974689</th>\n",
       "      <td>posición</td>\n",
       "      <td>0044844</td>\n",
       "      <td>0000300</td>\n",
       "      <td>2019-05.txt</td>\n",
       "      <td>ref</td>\n",
       "      <td>0110799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>974690</th>\n",
       "      <td>vigencia</td>\n",
       "      <td>0044844</td>\n",
       "      <td>0000300</td>\n",
       "      <td>2019-05.txt</td>\n",
       "      <td>ref</td>\n",
       "      <td>0110799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>974691</th>\n",
       "      <td>atl</td>\n",
       "      <td>0044844</td>\n",
       "      <td>0000300</td>\n",
       "      <td>2019-05.txt</td>\n",
       "      <td>ref</td>\n",
       "      <td>0110799</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           token id_parag  id_file      archivo fuente  id_sent\n",
       "974687   control  0044844  0000300  2019-05.txt    ref  0110799\n",
       "974688   niveles  0044844  0000300  2019-05.txt    ref  0110799\n",
       "974689  posición  0044844  0000300  2019-05.txt    ref  0110799\n",
       "974690  vigencia  0044844  0000300  2019-05.txt    ref  0110799\n",
       "974691       atl  0044844  0000300  2019-05.txt    ref  0110799"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tokens = tabulados.df_tokens(ng_frases, ng=True)\n",
    "tokens.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Estadísticas desagregadas por frase"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Uso de función: `tabulados.df_frases`\n",
    "\n",
    "También se ofrece la posibilidad de tabular las frases y su metadata. Es menos usual, dado que cuando se quiere iterar frases se prefiere archivos [jsonl][prodigy_loaders].\n",
    "\n",
    "[prodigy_loaders]: https://prodi.gy/docs/api-loaders"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id_parag</th>\n",
       "      <th>id_file</th>\n",
       "      <th>archivo</th>\n",
       "      <th>fuente</th>\n",
       "      <th>id_sent</th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>110794</th>\n",
       "      <td>0044841</td>\n",
       "      <td>0000300</td>\n",
       "      <td>2019-05.txt</td>\n",
       "      <td>ref</td>\n",
       "      <td>0110795</td>\n",
       "      <td>El decreto establece dos prohibiciones sobre l...</td>\n",
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       "    <tr>\n",
       "      <th>110795</th>\n",
       "      <td>0044841</td>\n",
       "      <td>0000300</td>\n",
       "      <td>2019-05.txt</td>\n",
       "      <td>ref</td>\n",
       "      <td>0110796</td>\n",
       "      <td>Segundo, no podrán adquirir acciones de los EC...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110796</th>\n",
       "      <td>0044842</td>\n",
       "      <td>0000300</td>\n",
       "      <td>2019-05.txt</td>\n",
       "      <td>ref</td>\n",
       "      <td>0110797</td>\n",
       "      <td>Resolución 2 del 22 de febrero de 2019 y Circu...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110797</th>\n",
       "      <td>0044843</td>\n",
       "      <td>0000300</td>\n",
       "      <td>2019-05.txt</td>\n",
       "      <td>ref</td>\n",
       "      <td>0110798</td>\n",
       "      <td>En febrero de 2019 el Banco de la República mo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110798</th>\n",
       "      <td>0044844</td>\n",
       "      <td>0000300</td>\n",
       "      <td>2019-05.txt</td>\n",
       "      <td>ref</td>\n",
       "      <td>0110799</td>\n",
       "      <td>Los principales ajustes fueron: 1) se modificó...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       id_parag  id_file      archivo fuente  id_sent  \\\n",
       "110794  0044841  0000300  2019-05.txt    ref  0110795   \n",
       "110795  0044841  0000300  2019-05.txt    ref  0110796   \n",
       "110796  0044842  0000300  2019-05.txt    ref  0110797   \n",
       "110797  0044843  0000300  2019-05.txt    ref  0110798   \n",
       "110798  0044844  0000300  2019-05.txt    ref  0110799   \n",
       "\n",
       "                                                     text  \n",
       "110794  El decreto establece dos prohibiciones sobre l...  \n",
       "110795  Segundo, no podrán adquirir acciones de los EC...  \n",
       "110796  Resolución 2 del 22 de febrero de 2019 y Circu...  \n",
       "110797  En febrero de 2019 el Banco de la República mo...  \n",
       "110798  Los principales ajustes fueron: 1) se modificó...  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tabulados.df_frases(frases).tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bag of Words"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En muchos modelos que realizan transformaciones en texto se suele representar cada documento por el conjunto de palabras que lo componen, sin importar el orden en que aparecen dentro del texto (es decir, sin considerar información semántica de cada palabra en su contexto). Los modelos de tópicos basados en [LDA][lda_gensim], por ejemplo, hacen uso de esta representación.\n",
    "\n",
    "\n",
    "[lda_gensim]: https://radimrehurek.com/gensim/models/ldamodel.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Uso de clase: `Bags`\n",
    "\n",
    "Se usa para representar documentos como Bag of Words."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mInit signature:\u001b[0m \u001b[0mBags\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfrases\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0midm\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mattr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvocab\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mDocstring:\u001b[0m     \n",
       "Documentos como Bag Of Words.\n",
       "\n",
       "Parameters\n",
       "----------\n",
       "frases : Iterable[dict (text: str, tokens: list, meta: dict)]\n",
       "    Anotaciones lingüísticas o Info de cada frase.\n",
       "idm : str\n",
       "    Llave de Metadata para agrupar.\n",
       "attr : str | None\n",
       "    Atributo a usar de token (text | lower_). None si ngramas.\n",
       "vocab : gensim.corpora.Dictionary, optional\n",
       "    Vocabulario a considerar.\n",
       "\n",
       "Yields\n",
       "------\n",
       "dict (idm: str, tokens: list[str], sparsed: list[tuple(int, int)])\n",
       "    Bags of Words de cada documento.\n",
       "\u001b[0;31mInit docstring:\u001b[0m\n",
       "Requiere frases, idm.\n",
       "\n",
       "Opcional: attr, vocab.\n",
       "\u001b[0;31mFile:\u001b[0m           ~/munozbravo/banrep/banrep/transforma.py\n",
       "\u001b[0;31mType:\u001b[0m           type\n",
       "\u001b[0;31mSubclasses:\u001b[0m     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Bags?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-04-10 14:30:43 : INFO : Diccionario con 34677 términos creado...\n"
     ]
    }
   ],
   "source": [
    "bags = Bags(ng_frases, 'id_parag')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`Bags`permite agrupar por diferentes *llaves de metadata* porque según la aplicación se puede querer agrupar a distintos niveles de agregación. Por ejemplo un modelo de tópicos se puede querer entrenar usando párrafos pero aplicarlo a documentos enteros. O puede quererse agrupar por fuente de información, para fines descriptivos...\n",
    "\n",
    "**Nota:** *Las llaves de metadata disponibles dependen de la clase usada para extraer texto. `Textos` viene con **id_parag**, **id_file**, **fuente** y **archivo**, mientras que `Registros` y `Datos` dependen de las columnas de DataFrames usadas como metadata. Al usar `Frases` se agrega otra llave **id_sent**.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-04-10 14:32:30 : INFO : Diccionario con 34677 términos creado...\n"
     ]
    }
   ],
   "source": [
    "bags1 = Bags(ng_frases, 'fuente')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['congreso', 'inflacion', 'minutas', 'ref']\n"
     ]
    }
   ],
   "source": [
    "fuentes, toks, sparsed = [], [], []\n",
    "\n",
    "for b in bags1:\n",
    "    fuentes.append(b.get(\"idm\"))\n",
    "    toks.append(b.get(\"tokens\"))\n",
    "    sparsed.append(b.get(\"sparsed\"))\n",
    "\n",
    "\n",
    "print(fuentes)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### *Fuera de `banrep`*\n",
    "La siguiente celda escribe código usual pero que sin embargo no hace parte de la librería."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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9SIACgH2pjvFqdsEJHrWqdq13cfsdTi4zZyfjI3YqOe7kszFH15NOLjPHXJdXEBbITbXr1WXNtxJZ0lJP7f4cABy93DFxV5/5RGFJu7q8+VYUBdkcmTpiDk0csGOpCTevp3/d84WgvzTwnk1/zixbN4cmDlrTkT43nYu4hpllppVjlmOA49iMXbpsN+L8BaLmIX7GgFkWMz0+EkhE3QgAQCblJiQZlIIiWlpdLy6mAoqxOXNa8xIfpUgJAcoYsMFe88Tyteom1YNeQUAxFrGnh8+Yp7x+EiivEeu9fhK88Q7fB/Q8y4aLaFkm5SYAAWSFqAtDw/IAAHMzzsT4sNVvWWCePJjfE5m1J0UR5VTSjZ0+auybGLXOrN/quV1WiHbDbd77f/rt5JcBYO5SnQ+OuxIx2zbcTDaW3X3oW3YsMSYUBKtRljw8vXNhOlaq65rb5S5RQjkZd6KMATt1RH91aswebmqTlq+53nMzIUBPHjb2HNuf35WMO9HF7cqK2gZxiS9Iw8CAjQ6avcf26y+vuV67ec1m7eaDu/PPPfPT9HfrF8ttm2/13JeIurM//lbyS+/77SBZmB/MLCgSSpo7lCWKSjRJQvmuDwY+/p4PBA49+1jmu2s3a7cEwrRQUdEjiij1HjcOvvpC7knHYU6okBa1rVC6K2vFRq+fBitrRWLbzAqEaAGlSMuqxIqudeqWznXaDemkEx/oMY8d3ae/NDpg9jh8XgPuEkNRkITCUK3a3rhNrqvoNCdmT5lD4wetmdgZN5WZc00rfzH7Ix41KJYUNNCQv8Kzqu1uYIy5hpl1c3rCzeZjxb///lFraq7HiSUn7Hhq3OgZeulyJX1EEUXGgFEBBUVBzXGZnc+xrGO/fril64Br5FluasIe3vty/unRQat3bMjqu9ByCAEiSigDACoK0UrKherCEoFl027s219O/L2qEc/UmDV8qY+POz/q0ULEo4aZ7RhuXk8x3UiDQCW5sbZbqi5f7mZy0dyhkz8F2zE96zsflOurVlmTM6cyrxz+tpvKzBCfp5jIksfNGykUqISy5GWWlXPS2QgzLf1sOUgIQVnyoCSqRJa8rmFmmWFmz+1sQFTFR4P+cqJIXkAkQkGwBhXZa41PH7cmZ0+5hpkHAEBKBerzFKEsam7OSAJBAo5ju3k9CYiWOTx+EGVJc9OZ/6w3O46VP973S2tqrofljbSTTE25Of21/zcUqEhUJSAUF9Qzy9apRysQisP1Tiozaw5PHHKSqclz55qLz1iTNU1Ku5F3c5JMlOZOrVvPO5m6FnWZ6iE+j48GB47nDpw5ltvn2IwndxZceIKnsnatt2nJrUgIFfyhagDGXNNI54cHXpx9+rE/AoC3lZ27miEhBBXZB4y5zDAzRFWCQllhk7ZiyQbq9RSgJKooCvLljpO7uiClVKopWxa884b3etZ03OfmjZQ5NHEgdN/2fwDbMXJHe59UWxt+rPeP7D73Q/2NiN9TrC1ruRVl0cNWtd+LAhXdbD5mzcQG7bn4kJNMT5tj08eQkJ9fqu7MPj8NySp6NA/xwkKyJ51044II4vzBASJBks+52f5T5pGWpfKqDds9dyZizpwoo9LWqXRHZpzJ0UGzZ2zQ7PUFSRgA4NQRY6+ps/yJg/orqobe9k5lXfNSeeXUmD14/IC+a6DHOBaPOrOEguAP0UJBBAkAYLDXOBEIkcLaBqnl+ps9d0dmnMnRAbMnnXLj123z3JFNu8nKOqmprlFa0nNMP8AYXDVdO4mm+KWq0nahMFTrGmZWPz34gnsVtlRyv3luOhsBQohv0+rfRknSUJV9et/wy7wDz4UJhmlRfbPUoaioTY7agzOT9qhpML17s3bLim51cz7HMl4/Ca2+Xr1JkkHxB+nT9380eBcioG0zyzKZsfI6bevIGet0cYVQncu4aTLf8giiBJLHS/yIiK7L3Jvv8U9rHuJzXeZkM25allHNZd1MsEAo7jlm7B8ZsHoMg+kDPeZxRMCKGrGh+wbtVlFC+fgBfbfmIeb6bZ5twQJaVF4t1ucybgoAYGFye1JSIdTccKv3Pl+AhDIpJ5FJuYm6Jqm1sk5sfPQbyc8Db+HnLhFERKGkoMG/rft277rlHyA+rUA/PfiivKhydeCW6z5lz8WH88f7n1Fa6p4yB8b3uW9RvzkX8aghoTi8yM3kIpkXD34dEAjxqCGhMFQr1VV0SrXlK8BlLjDmutlcPPr1n34MAB6jFElto7ikul5cnIi6c5bFzMpasSGfc7O9J4yD0+P26Nky6pukVv9CfWRy1B5UNPT4gzQ8MWoNxCPOHMD8IhMNS6Sl4UJaEo84s8NnzNOz08646zCXEMSyKqFu9fVaazBMivQcyxQU0bLyaqG+94R5MBimv3jdcEsEmJu2J8aHSD8CgCyjIogoAsBrya9wIS1uXaGsoQTo5Jg9pGroicw6U8mYEymvEstnJ+3RgR7z2LLVyob6ZrH9um3a7T/9j/S/BIK0IBgmhbGIPQMAaQCAYJgWVNWJTf4gCZsGM8aH7f6ZSXvsbI9mzUO8i5ql9vJqoV7Ps9z4sNU/Omj1Wub8whSEIFbViU3NHVJXbM6ZTiXcmCihPDlqDcYizn/27vgvCAUqiqVFTb4t3XcqrQ1b7WhixByZPKyfPrPTnprrIaKoiSUFjVhTvsKejQ4wy8pLtRWd9kzkjKsbaRSoRHyeYu91XQ9JVWVL5xtobV0oCNZYM5F+/eSZZ6hHe8XJ5hKIiGJVWbtnzdL3Ek0N0ZC/wpqYPenEk+NEVb55tnFYaW3YqrQs2iSWFjdb41PHXd1MS7XlK2Blx725A8d/hJQ+DAAoN1Sv1Va0vof4vcXm4Ng+oip+VBV/eueerwBjrnd954M04C/L7jn0bQDYjZRSpbl+o9LauFVpWbSZOY5pTc31Gr1DL9KA7yknmZ6loUCF1tl2p9JSvwksxzSGxw+IZUWLacBXZkfiw6mnXv4nAOgDAPD4abCwXKoe69dP1i1Rlxm6myurURrHB/TTzz86982xfv3Uh/+s8p+XrPJuTMy/nycv3yt9ZbngBI+VjI/kx0dezY8OvqTVNd6Q7T/9hFxc2qZUVK9ybeu/zMobRJE9QlGoTllcvzF0/831AIAoCjLKspcokhcEKhn9I6+gKMhiaWET8J5NFw0pFdSlTTd51y3/wOsSZIwxc2L2VPrZV79kx5ITlzHEdwUKgigWheqC79n8fq1zyR004C01R6YOG/2jr8hNNeupVysASkVv97L3qe2N2zIvHfwG0ZQvujn9V+aOQURUO5rKadBXlnpq9+eMvpGXid9T4lmz9H5lSf0mphtdKEtec2z6aP5Y/1MAYFyKY9i/K/fMyIDZE5mxJ5kL7mCvefzRh5OReMSZAQA4uDv/bM9RY39kxp6wTGZOjloDhICQz7GMx0v8koJKOuXEmQuuoTO9WCNeI+/k5qbs8YVxtXlRxCcGesxjXj8J5rIsncu46XTSiaka8QEDFwBAFFEGAMim3ZSikmf7TxqH/SFa4NjMSsbdqGkwfXTA7FmxVt0UCtOiXz6a/taLv8w8mkq6sfO/PlT0rGq/R1vZeidSKr62wXVdY3jyUPq5vV9x0tnIpTiPb4Woil9ZXLOu8CN3fUiqLltGQ75yZpiZ5M9f/j9IyGevhbkHuHdX/kTfL62ZSC8gUpREFRzXtiPxYeY4/PvqAjgOsxNRZ9a2mXVkr/7ScL95kjFgy9ao18sKqnPT9rjrMLepTV6eTbvJ00eNfYIIosdHAycO6q8ceiW/UxBBSsadKHPBzWdZxjKZAQBgmcyYnrCHyfzQKSgsEcqpAAJzwdXzbq5+sTziOvOtlL0njEP9J43DrsMcQQBx/TbP7YEQLcim3WQ27SYLSoQy25pPKMkyqntfzD3Zf8o82tGlrCspF6pdF5zObnVzc4e8MhF1Zr/y99E/kRWiPfT7of/p8ZLAkmXyauAJHgCYr5corYs2a51L3vOrDXeMuTk9mT90+md638huZjt8NcZzoCCIQthf6d++7j2e1e33iFWl7eA4ljUd7XfzRkqpLd9IvVoh9XmKpNryFZ61S+/XT/Q/LVWXfdkanzn5Vt9piIhq55Jq4tXC1uRcb/LJlz8rVhQvQUpFsbRwsVhZ0uqmsqY5PnNCLCtcTBTZRzxqGADA6yfB5auVjaUVQk31Iqk5HnFmJBmVfN7NFhTR0uYOeV//SfOw4zB3RbeyqbxSrA0V0hLTYMbEqHXGFyDhJ3+U+SalGGtZKq986BPB9y9ulzq9fhqam7bHhs9Yp4/t13cpKnmcULA616qbV16nbAmEaOFgr3lcEFBUNPSu36LtCBfSUkHAz9o2szUP8d58l+/+Jcvl1UuWyatMnekzk/bo6KDV29Ai/WCgxzpeUExLb7zT977SClqdS7N0VZ3YFC6iJY4L7qPfTH2hqVVaHiygxYtaSEdFtbgoOudMIwAGQqRg3Rb1No+X+EyTmYTgzromsfWGWz0bCkuE8qJSWqHnWc4fIOFvfTn5vwDgWGmFWP3ejwYeal0hr6muE5vmZpzJsSGrb6jPPFlQLHw3OmtPN7VJK9Zv0XaEi2jJ1Kg9hARIZY246OQRYx8A/CvAfK8R36aVHxUrilsB8fWtCYwxa3KuJ7v32CN2JDH6Ky/0bxgiIsqSRygO1ytNNeukypI2lCVP/ljvk7mDp392ob3MEBGl2oql/m3rP+mks7NuTk8QVQlIVWVLhYCvNPXs7i8YZ0Z2Ky2LNhFF9qrLW3Ywc+GamiAhXk+hm87OCSWFTcCYmz/W+6RYUdIqFofrXcPMUr+3RGmuv554tQKiyD8GxDyRJY89Gz1jzcYGhaCvTF5cv5F41LBUVdoBALsB5uuR1OctIqrsE4rCdU4mF3ViyTGgRFRbG7fqPQPPs7yRUpe13OZkchE3m48RVfGjKChCUaiO+jxFTjI9yUwr5yRSk0RTQ0gIkeoqO6VF1atRElVAQGAMiCSqypKGLURTQkSRv0YDPkEI+srnG5doUCwtWsxsx7JnYwMk4C1RWxu3oSiOMMsyRAnl0mpp0ZnjuQMVi5SWuhZ1qZF3so7D7Ni0NUEIYmzWmvL4aIDQ+UYSbt4FJ3iMqfGD3sVtd+SGz7xAVS2cHxt6JTd85vnQqvUfd3LZ814UXUuIJCq+rd2/q7Q2bkWBSpldB7/pxFMT2qqOe5lp5lyCBAwzI1WWtglFoXq9Z/AFOxLnlaOLhIrk0TqX3K4ub77VHJ48hJKoCmF/pZNIT8uN1WvdvJ5EQv7PtXQhSxTJ4+1eerene9n7wXVtZtm6MTixzxwaPyDVlC1zdTNjTs6eoj5PUfrZV7+ktjdt921Z83v5Iz2/gDcbAkgIEcuLWpASgWhKABhjRJG9KFApt/f4I9l9x38U2HH9Z4imBlGkMlyiBM/kqDUEAEPn3DW9cJv/Y9x64xf38Tfbjz9EwzUNUouionZod/65RNx5LXGysJT50BufQwgmvvn5+F8jAjnbSg0AoOfdHADk4A0TvEkSPnlkr/6iIICYz7OsnnPfMlFNPGpIW9V2l9rWuM0YHN9P/Z4i6tUKnUwuKjdWr3WSmWkk+O+XYhnjN4OEELGiuCV0z7aPaStb7wLXtc2J2VNCYbAafZ4itaPxxsyug98EgHc9ycRd3Zx0NgpvY+4Wbl466cZtm9m2BdbclD0WmbGnahqkZgBguQxLR2edqVnbGYvOOVNT49ZwIuZEdj2de2zNZu2W7s3arc0dctfxA/ruw3vyzxs6y1EK1B+kYSogrW2QCKUoaF7iUzWiPfiJUCAZcyOKRrxnt4sSypbJjFTcjWbTbqq+WW7beofvgXjEmRkf0vuq6sTFNY3Skt3PZR8PhElhaYVYGwzTooHT5rGZCWv05nv8m+NRZ9ZxmOMP0nBkxp4wTTCSCTfm9YEzOmj1VtQIi8JFQunlPtdXCuLVCvzb1n5CbW/cBoj4Wl9PBAAGAMx1lcV110W++sMHAeDkZQv0CoKEEKEwWOO7vmu7Z92y90vVZUsBEY2+4d25g6cfs6PJMbV10Q0oCLKT0+NEU4JONDkGjLne6zofEkoKG6Pf+OnvAED/eQshhIplhU2ISKhHDQVv3/SnQKkItmPKDadEJiMAACAASURBVFWr3Vw+kfzJzr8yx2aOFzy440tSbUUn0dQAAICsoOoLkNDxQ8aeyKwz2d6prEvEnLlQAS1e3C53FpYIFdm0mwSAM8CAiTIq+ZybpRTpUL91qqCIlkZmnamyKqG2a52yOZV04nMzzuTEqD2YijtRy2Jm1zp1y+yUPX5qIcnrOOB4fMTvD5LwxKg9WCRRKZtxU42t0rKyKqFOlHC4e7O2taiUViTjTmRq1BrKZtykoTM9VEiLr9/uuTM2l5qubRBbSiuE6uisPe3YYGXSbtJ2mB0I0gI97+aOHTB23/OQ/xOJqDPn8WHgxSezjwICkSSU8zmWcV3XUVSi+YOkYMf9vo8SinRmwh5NxJxILuumCQKRZFR8ARrcervnFgBgyZgb6cuZ2XjUmctl3NSiZql9VczdqqjkR3d/0L+ZueDOTjpjhs7yhsHyVLAFQfjP60y5sXqtf1v3J2jIXzH/BgE4t880M80cDfpKiSL/uasb2XfjPXkhUKCi3FDd5Vnb8V51WfMt1O8pQlFQAJEorYu2OKlcBBF3XtD0BpQI8uL6Dcx2TJQlT2bXgW8K4WC10tq4xZqYPiEUhmr03qFdalvTU77Na36XerQwk2zNTaanUZa9xsn+Z1zDzEvV5cBMK89MK0d9niJzYuZUdvehh7U1y94n11V2Ea9WYM1EzhhnRvagQPeZY1PHxNLCJigI1qAgyE48OU4U2YcCFZntWOA4lj0bHaQBb6k5Onk4/fzer3rXrfgtoSBYgx5PgVRdsdwcHj8oFIZq7elIn6sb6cxL+78GLnNoyF/upLNzSIlIVCWAoiADYw4N+Eq9G1Z+RCgK19vTkb7Ej5/+MzuaHPV0td4pVpa2y40168zRycNOMj3tZPMxEkuOCUXh+vRzr3yBaGpQaW/aTixbFytL24kq+wFgLpN0YpbJ9LJauWFm1BzUc04WAKDnQHZ3MmrPLl7hWRsqFsrmJqyRyKT1tlbpulZdTA+eUWZbOW/TklvtTGpaqaheme0//YRrGhkklDL32m/5owXBarGqbKnRO/SSVF2+jPq9xVJNRaebys7RgLcUBSqhKKhuOjunnx583hyZPOxm87wSfZEQAJES0YmlJhI/fu4vPGs77s8f7X0iu+/4jwo/fOe/yXUVXQv//NfEcBRERKW1Ya3/to2fzuzc99XMK0e/K4T95f6br/vjwI5N/2N+pZuhF42+kVeM/pFdes/wLmbZurq8ZYeTzcffdKcEqVBS2Mhc13FzesIYHD8gVpa0u3k9lX316CNOKjsLjLlIiUgU2QcAV9QKUuVVYr0ogZSIOnMjA2bPG8env5mFrsQX/J4wTWYCwEUsqYiIhIjWdKQv8egzf+a7YfXvmqPTR43e4ZcLP3rX1+X6iq7snqPfA4BLPqk6iqKsrWi5yX/zdX8k1ZV3OYnMtDU6fTT1y13/LAS8pVJ12VKURQ9Konqpy+Y47vUEASVFJeropDnqLPSmic46U9MT9ojmIX5fgIanx63hdNpJJKLOnJ5jmb6TxqHIrD1V1yS1rt6obW/rVLo1L/onRqyBQIgUllQI1U2t8grHZpbjMMd1mVtcLlRPjdtDhs7yVXVi05lTxpFsxk3JCqoAAJW1YoPXR0dXrFMbi8uEqkzKTYwPW2eqF0ktCIBePw1NjloDxWVWlSSjUl4t1ocKaHbjdq+cTjmJfJZlJketQUlGtbRCqN6yw/te02C6rKAyO2mP5XPuZbvIutKgQETq8xSB6zq5w70/NwbH96vtDVtpKFCZP9r7hNresE0sK1ystDXcADzBAwAA8qLK1aF7tv0NDQUq8yfPPJM/1PO42tlyO7MdU1myaLNYVtgEjLHcgZM/UTuabmR5PZ18ctdn7WhytOCDt31RLC9qFopCdfCWCR4kYlGoHgCA+LRCoShUm3j02T8Xq0o7hKJQbX73ke/kDp3+GfFqBYBIkBKB+D1FAACOA04mxRLhQlqyuE3uHBmwer7/78nPLmqWOt73scCnfH4SXLZa2UgpDt14pzcTm3OmkwknGgzRooEe8/ix/e4uQ2f5bbd737d0lbLBspj56MOpLx58Jb9zcZu84sGPB/80k3aT67doOwb7rJN6nuXGhqy+0gqh5sg+/eVnHst+78Y7vA/UNopLVE3w1DVJSwhBcvv7fP+tpFyoPnXE2Pv5v4n9YSLqzN56r+/Dqzeq2yuqhUX9p80jlsnMwiJaJooo9xwz9j/zeOb7psH0QIgUppJuTMgykVKggoSSZYKRSbsp02BGSblQ5fWRgKKhx7aY6fWRgGkw/dCr+ReKSoWKl5/OPpaIu5FAkBQwBmzFWmXT+i3aDkFAcfdzucd/+ePMtykF4WOfCv2tohLPquvUbScO6a9KCqrFZUIlFVD86XdSX+k7aRwBAPD6SOC1l0pTgqhIXieemszuO/5DZjumZ03HfebY9DEnkZ7yrum4X21r2JJ56eA3AODEu/rmfBOIiMTvLQ7ctP5B74bOh4TSwkY3k4tZk3M9Um35CiSECuFAhba8+Va9Z+hFuIDJfFESVaWp9jrmuo5x6sxzQkGohqhKgPq9JWpb043ufB1+lzU5c8rN60kgSFESVAIqOKnMrN4/vAsAgBlmlsiyD4tERSgK1WVe3v81azY6KJYX/0htb9puR+IjUnXZUgDYg4QISmvDFq2r/W4iiSpKomaOTh4hHq0ARVEBAIu5rsNcZjPDyjGXOU4yPSMvqn5RW9lxL4snJ4gq+91sPmaNz5wQSgobRU0JEkX26acHdhqDY/uYaWZpOFgNhFBUZD8zLV2qKV8hFASrkRKRua6TP973FACAp6vttFhe0sosWxfLS1rdbD7OTDMHCISZZt7VzYw1MXNKqqtcZRlWjgb95UiJCACQTtjxmsXqv3ffHLy3pcuzXhBR2vds8rEju9JPMQBW3aS0NXR4VtpW1oxM/UoD8n9pF5zgYa7rhlZddzzcvflPnFw2kh3sfdqYnjyKoqQppRXLAeDAuxjnFUEoCFZTn6eQyFIn0ZSAWFbcQrxq2J6O9Ftz0QFzePKQUBSqkypKW63J2dMoSx7q95YCwNTljv1qwlzmuIaVoz6t0Ldp5UelmrJl8e//8v+TKkvaiFcrILqRQVW5ZhI8xKuFvdd3fTh/pO+JzMuHHiYeNSg3VHfLdRVdzLLy+unBF1JP7/miE02MCGVFi6XaiuVOKhshsuiB86z4hIhEKA7VG70ju7KvHnvEu6Hzg74ta37HTWejwXtu/FvjzOirKIoKUioSTQkAwBUz5E0UUexarxXpeZYbGTBPx6POlTHp8XzPqrwQ8lf4t679uFhe3JJ5+dA3xarSDlRlP/V7SxYSLJcswYOIKJQWNATv3PyQp6v1TmZaeXsuPpTbf/JR4lULtK7W9+h9I7vEipIll6rMK4kQ8pfRoL/cyeSiTiI1ySz7tYQcEkSiqUHi95YQRfYCY+AaZsZN5yJuNhe7lnr4XWrU7y0SCoLVKPznUBNrJtLvpDIX9b9GZEklXq2QeD0FKAoqs2zdTWfnnFR65u0OU0GCSLyeQur3FqMkeoCB6+p62s3pCTenJ5hlXZLehu8EIUBUjfgqa8XG4wf13QAAmZSTbO9Sdze2SisKioTS2iZpydyUPaEoRIvMOJO3P+D/2NyUPUEFpB4f8aeTbtwywew/aRxuXSGvQURy632+DwMgzE3bE8mYE/EFSGh82Opvbpe7ahqklukJe+TEQX33+LDVX1IuVG+9w/uA6kFf3wnz0PSEPUIpCjfd438onXTimpf4lq1WNqSTTmxy1B4orRBr1mzSbi6rFuoFCaXaRmlJKqHHjh/Qd5dVCfWWycz1Wzy3j5wxT0sKKlOjzuCxA/quy32urxguc5lt665uZbOvHv0e8aghoqmh5M9f/Ifc/hOPOvHURPDOG/5SKi9uvdyhXgmEkL+s4EPv+QwJ+Epj33/yU/rpwRfAdixjZPJQ4MZ1n1RXNO0Ax7GtmWgf8aih9M69XzUGxve6mVyUmZZuDk8eAtd1zNHpt1ykBBGJUBSuBQAwR6YOx3/4zJ86yfS0p3vZA2JlSRuzbVNpqduYO9zzOEqiCoQI1Def4HEd5mhe9JsmGl4/CQ70mMczKTfZc8zYn044sUTMnauoFusFEcVsyk3mA26ovklqGxuy+hZ6K0P1IqnJ4yX+iWHrTGEprRjut06ZBjMKS4ThyIwzKSmoBsK0sLRCqAGYn0snHnVmRQnlfM7Nrlir9tU0iM2ZlJugFISGJdLS6Oz8HDbxiDM7MWINAgCsvV7rLasS6hwbrJIyoXr3c7nHB/vMkwXFtHTDjdqdLUulVccOGLuO7td3JWPzX32ihIrPT4KUApUVogKAgQhomczw+EjAMJguySgDAtQ2iktScTd6Tn0r4vXTQHW92DQ1ag8VlNCyqTF7OBl3YgAAH/y94GBdE2mlAgh1jdKSXc/kfnbz3d4Pev0k9P7fDvz/4yP2mYO788/1HDcOnn2tmO2Y4LqOOTFzInfw1E+8Gzo/ZEfiI4kfPPUZJ5WdFcuKmqWasuXU7y2+lO/FC4GiIMmLqpb7b77uU2pH440oigozrHzyiV3/ZA5PHCz4rdu+IJYVLQYAIAFv6a8MMTsPoqoBJ5WZpV6tgGhq0Iklx910di69c8+XgDHXmprrXYgAYT6BVG1NzZ0WisP1mVcPf+fsPJsoCgpjzEVZ8jLHtZ1MLgYAwHQjbfSP7AZgTCwpbCKa4leXL7lJqq3ssmdjA8SrhlEQZKmqtN2aiZ55LTCXuSyvp9xsLkZkyQsA4ObyCSIKCvFqBdTnLWa6kcm8fODrckP1Wqm6fBkN+st8W7o/riXT05ndBx924ulJOxIfEVzXYbZj0LBaaZwZ3YOSqDHHsRARGWPMSWfnrOlInxAOVFKfpxAFKs7XFXIR6veWoEBE17Ty/m3r80LQXy6E/BVAhddWjBvt00/GZuf+2RugYUFAMZN04uAy5jrM9YeEHx7fk3k+n3XSuYxzRTVUX24XtUy6PjHyKix0qPM2LrnFTibG3Hw+Hly1/r8LHu+n7OzFVQ6vNsTnKXJzelKsKu3I7jn8H5mde/9Fqq3oVJe13MpMK2ecHnje6CUvSQ/c9jmluW4DECIY/cO7gSd4Lo7rOsy08qjIXrGkoNHN6yltRcsO17TyRJG8KAjS2ezu1Q4lUfHfsPqDQmGoLv3c3q9oq9ruUpYs2ky9WiEN+yuZbmZRkjSxtLDR2730fUpz/cbU0698wUllpoXicB1RJM959qsKQV+p3j+6x7Om4z7vxq4P54/2PmH0jexW2hq2GX0ju9XWRZsBEeEKO5eWxSzNQ17uP2UcTcSukOQOADDHtZll6cSjhoSCYDVzHNuzsu0uIEiJLHlQFBSk5KI+U98MUirQoK9MKArV+bau6fCs7rhXbqxeZ03OnY595xd/4Lux+xP+G7t/34klx2nAV2pOzJx08786D9PVjqiyN/zA7X+nLm/ZYU9H+owzI3v82zeMm8PjB8zhiYNaV8ct2oolt0s1FZ005C8HxpiTSE1ak7On9NMDzwuFoccvZIisEA5WastbbkdJUoEQOj9kEdFJpmfyh089ZidSr31+oyjIYnlxi1RTsYJIoprde/T7C8Odzn8ciuyRaspXiGXFzcSjhpxEetocmThkTc31MMd5Wys+ICVUKAhVi2VFLcTnKSKK4kdZ1JhupM2JmRPm8MTB83VxJ6riC9x+w59I1eXLAQCo31sslhcviT/yxKeQkM9dSGKMyJKmNC/aFLrnphvFytIOsaJ4CfFoITebT1jj08f1nsEXlKba58zhiUMXsyIO0dSAp3vFHdryJbdL1eXLiN9bAi5z7FhizJ6LDdhzsUH/tvVDdiQ25EQTo3YiPeVmctG3ex7fLkKB+gIkSAUQFlaqAQCAU4f1vTOT1mh1vdSMCOg6zJket4f1nJuNTNuTTW3yiqY2ecXUmD300i+zPzm0J78znXQSrSuU59Zt8exAQggSIP4gCSdizpxlMrPvRP5QJuUmh8+YpyMz9oShu3ogRB9u71LWKSrRxofN/rEhs3fnzzPfL6sS6qEXjs9O2WMDVWa9JKMsCCieOWUcnRixBmQF1VzGTVfViY11i6X2yIw9OTtlj/3w68n/29gqLS8oFsriUWc2EXXmYrPOVCrpXBONKJfC2YYnlEXNt3n1b9OAt4SZVl4/NbBTWVx7ndK2aAsKgkz8niIkhPxXTjATRfYEbtv4e1JN2bL4I099On+k5xfU5ylS13TcpnY03aS0N97oZnJRa2LmVHrnvq/mj/f/EigRlOb6TerGrg+nnn7l804yMyM3VXefXZnzfFASVRryV7p5I518ctdnnVhyzH/T+j/ybuz6iDU2fYw5rq0tb77VGBzfh5KoAUGy0AMcBBHFbNpNKirxuC5zTMPNuy5zJQntgR7rOCBAc5vU6fGRgO0wW5aJOjdtT8xN2681iIkiyKIEcmTWmfQFSRjJ/NxZlsmMMz3m8ep6scla6CnjuuBkMyxtmcz0eIkPACCddOKGzvJFpaQiXEhLshk3lYg5swCASIAQisR1mJvLumk9z7KllUJtNuumE3En+qOHU19sbpc72zrltVV1YlNnt7K5s1u54bHvpf+174R5SBBRzGZcOxF3o74ACQFAwnHAzmbctCihYlvMpAKK6aSbGDljnVY19L7udSRAVA29qaQbEySUzp3jZHLMHvL4SUBRiccXIKGXnzV/9sjXU/+8tEu5rqFF7CgoFspuvsf30PI1yvUl5cIXZybtcWZaOea4tlRevCR4x+Y/l6pK21PP7f0Ksx3T073sAaEwWEM0xY8Lr89vCtXUgG9D13v929f9gVBa0MBMK59+ft+/AmOuVFXSpp8eeD5/cuBZoThcj5SKeIHJHQAAZlk6UWSfNRcbpAFfqd4z+LybzcVZ3kg52Vz0bKOVUFa4mIYClebo1GEnkZpCSkW5umIFiuIhZlkGypKHGUbGSSQnaMhXTr2egrNloEhlcJmLsqQJReF6z5pl77WjiTEAgOzLB76hdrbdKYT8FeScHt4oUEkoCtW5ppkFRAIAwHQjY45OHpFqKlagqgQAAOxYYhwp/bE9Fx/SVrbdbQyPHxRCgUrv2uUPpF/a/zWpsrRtvjcOEieRntJWdtxrz0T6aThQKRSFalGg4+rSlkKiSF4nnZ1zDTPLGGM06C9HRfIy03qtfHs22g8ArlBe3IICfS3BwxhjNc1qRUWdsrigVKyQFNT2PZv8qaLR0fZub7ckE3Vm1BhIzNn8WvscF3UxYqWSk2Z0rt+KRwfFQKjGv7Trt6IvPfPXalVtd9GWHf9bq1n0NTudnGKOYzLHMcF1bcbO+ZJDJPjaRxYRkFARCBVQoDJSUWGmnrKSiTHXMi9qicQ3QiRIJNlPZSWAgqgiIFLVU0hlNUgkxS9o3mIqqwGkgkwk2Wcmo0ORgy989tft156NDri5fNzoHXpxvlub69CArxQJEZhlG9qaZe+1I7Eh4lFD+sn+Z5Tm+uvPvnG5i8CYC7atAzDmpDIzqWdf/bI1MXsSGGPK4trrUKASXIIL6SuBVFXa4d208iPm8OQhdUn9DXJz3QaiKn6iyn6jf2xP5oX9/+aksxHvdSs+qK1su5uIguLd0Pmgk0hPoSR6yHxLR+8b90u8WgEqkldb0bLDzeZjmRcPfM3oG9mtrWq7O/vqse85ifQU8XtL7JnYgBNJXnHzROWybgbehaFO74jrOsxyDGCM2bHkeObFA18zJ+d6iKYE1LaGLSAKEhB8R5O8iWVFTQUP3v7HckPVGqIpARQE2dWNDNPNNDOtvLq8+VZgAHY0OZ78yXN/qS5rvkVb2XonClQGBgwu4ZL3l5tcX70GBSrHvv7oR+Sm2vXyouo1WmHofieZnrLGpo6JFaVt1uTMyez+Y4/Yc7Ehsay4RVvesoOGA1Xy4vqNcvOi6wPbN+zJvHLoW2/VM0VuqOn23dD9e8bA6B4nlZ5xs3qCOY4pN9WuFwpDNWJ58cNCwFcmN9SsDT9wew3T9TRqakBZXLdRPz2wE95kLhuklNJQoFJpbdha9N/ff7cQDla7ppkVSwqb7Eh82I4mRljeSHvXdz2t9wy84CTSk8y2f22PF6IqPrm+anXovltuFYoLFlGfp8hOpCbAsnWptqLTSaSn5ebMRiRE9KxZ9iP9ZP/TvzLxt+1Y1O8rzR/rfcKeiZyRF9dvcHP5hFhS0AAECQCcf0JTSVSUproN4Q/e+QGkVCSq7JfqKruILHncXD6R3rnnS2JpUbNv67pPaKs67rNno2c8Xe3fyp/sf+bXJSGFgmBV6J7tn5ab6jZYU7M96ef3/otQWtioLK7byPJ6glm2LlWVdqitDVtRFFVm24ZrWNncq0e+SyTpK675zuoNF+P0EWPv9ERsxHWYHZ11XptjzHGYA/Mriv7KqqJeP/32gV35ZzQv8et5NzsxbJ1ZGCYKPceM/fE5Z0bRiCefc9OOwxyCSOJRZ9Y0mAFv6CGdjDtRAPjZG4o4uHA7a+8bticWbkAIHuk9YRw+Z1sOFibf5M6DuQ6YVh5FQRHCgSpjaPyAvKhqdeiebX+LlIpSeUkrClREgYoL9ZOLGP577UCBir6NXe/3bV71Mf3UwE5rcu60b8va31Nb6jc5qcyMWByuB2AAzHVQUwLq8uZb5MU166Tq8mVCcbjeHJk8DAAIhFDq1Qpo0F8G58zj90Y04CslsuTRe4dftmdjA4Ed1/8Pz9ql9+f2nfhh5uVDD3s3rHgw+8rR7+inBl/wb137cWCMMds2AABECWV/kBbMTNqjp4+a+wuKhXJfgAYDYeopmV/dLuUycB2bWQgAoUJSMthnnbBteO2zemrMHjIM0Nn8t697/U2eu8qrxUcbWqTagiJaOjpo9coKqrns/NDKknKhOpt2k7gwiXo2w1JzM/ZkaYVQo3mJ//Qxc//GGz3vmRqzhyvrxMbuTerNNYukvq51ylLHYfaZ0+bRbNpNKgqqDACO7td3jQyaPfc+FPhkZNaZDARJQVe3srnvhHnIMpnhD9BgMEyKQmFSBABDkoRKWZVQaxlgiiJKkRlnMp9jWcdhtp6HnCShZJrMFCWUCGJuasweqmuUWvW8m129QbuxqVUetC1mbtzuaYjOOlOC6ErJuBMNBElBNuUmX34m+9jUuDS09Q7vA9Pj9nBphVDT2CItA4BxsCwdXNehhcFqc3TqiDUbG1RbG7aI5UUtRFUCNOAtQUSCoqAgQXy35jM8iyiSR6ouW1rwoTs+obQ1bHGz+Xj6qVc+r3UteY9UWdqW3X/iUbW9cVvozi1/mT81+JyTys4JIX/5xZThZvPx7IETPwLHNtX25puVxpr1bk5PuIaZoV5PkVAYftzN5eOBmzdstsamjpljU8fkxtp1gEDEypI2dcmiGwDgCRRFBUVBhhwwa2z6mNqx+CaluZ5613dtIKoasKbmelHQRXCZTWTJK5UVN+u9gy85mVyESKLKTDuPiuyjXq0QCclqqzpsN5uPE5+n8GyDOXOZQ/zeEhSpTGRRFUoKGoK333C/3FDzoh2JD7vpXERpqOm2E6lJlGUf+X/svWeUXNd153vSjXUrV3dV5xzR6EZoNDJJkASTSIqiREokRVmygpNseWw/e3n8Zs3Y8hqNZ/w8chx5bIuSTVvBpCUxiZkEEYjcCA2g0Tl3V3fldNMJ70M3QBAESDCIFEX81qpPVXVupVt3n73/+78VxRAutaGuBaEieZyp+WN0fmkQYCRhnxEN3nfHN+lSahRgLLuz8QHAOWfp3KxwqAlcavGSmSHhQC0AywkzIQQnIX8tEEIgTfGe+wwbOrWe7bcHP21bvFRZr7QEo1LVqYOFl1NxOs9c4XpjpKZxlbbOsYUFrrbHnueKN8kQY6I3tHRBQlRPc8et+cETj2rVdZuNlo6PpQ/u/uvQ5ut+t+ozX3yCm6UUM0sJZhZT3LbzglFbCMEhhBAgLEFCVCRJOpJVH1JVP1a1AJIVA0CEaTY9ufD4D74MAHjHsmCi6kF/65qbPdWN29VI5Rosq14rOT+gBMvbICaqW8zNYnk5M2mn4mewogUAu3IpOcvmF9zZxdOkPNQIESLcsvMAAIAUxQCyrGurmm7ghVISuMxBqmIAyj5wOfmHDSEEF5S7gAvOsoU4L1lZHPBWIq8nAhVZBxCiC1sLPqxAjLFxzfoeEvRXp//tqd9j6fwsVBWDlAcbS4dO/Yd1avR5li8mjGs3fNHTt/peQZljjU/uoYnMFJSJytK5WcH4JSvX2NDDEGPJmZg7mvnJS38KhOD+j23/fWtw/GV3dvG097oNX0K6GnDGZw5x+4Mzs/tQIQQTjLmCc0bTuRnuuCUS9teQSKAWEKIgVfa+brrWO0Bf3/Fxz+bu+5arNU7RmVo4nnr4id/We1d9QoqFW9y5xFlj85oHoCLpcnPtJvPk0DNqe8O1OOSrYrnCAi/Z2ffq7X7QSFXlnYBgiTtuiaazM+6eI99VWuq2ePq6Py1XV3S7c/FTy6opLEuV5R0k4K82Tw49bY9M7uOWUwBACO+OTb+KvJ4INjx/zgqXVtpAjCReNNO5Z3b/b27Zebk61qW2N+5Q6qvXo1UtO9W2hmugqvigRJT0D5/6A54rxj3be38ZME7FJcb4IlXx6L2r79C6Wm5CXj0i11T0IJ9RLkpmxpmcO2oNju4CEAIS9Fer7Q3Xqu0N11lnJ3YjXXuUl8zLfn844Kvw3bztK1JVdJU1OPYyXUqNSpXlHcsbzdpN5sDws8V9Rx+WqqKr/Lfv+MNgY02feeLsdVI08mduPDF6bp3lzY0Anr7ue+2h8T326OR+uap8FVRVH3iTOelIkXVj89r7fR+77g+BSy13YWmQVJS180IxwXKFOFJlL4kE60l5qJGbVtaZnD2idjTtIJFgnVQTW419xt9eLtGGdM3vaXRpuQAAIABJREFUv33HVwXjNPfEy9+AqmwoDdUbcCRY587GB1iusMhyhcXiq7NHpMryDuzzxkg03Iw8Wkjv7fpU8eDxH4D3sc00n2NZAMDbOtcKb/KcFY+xNxjH/6zgP+ON0y8kXHDuUhtCCJHXU4b93ph5YvjpUv+ZJ9yZ+ID/4zv+yHfjpl8HCJGV68BHMsEjlYcavTs3/yaUiGKPzx0J3H3Df8NBbyXggqmdjTugTDRnYu5IYffR7zoTs0eQpvqN6/t+RWmq2QgQxGpr3VbfzVt+S6mvXAcIUUh5sAEA0H+542GfpxwQLGOvHg5+8savSzWx1cX9J75f2HX4294dfV/BAW8s9fATv410LYA8WlC41HKmFk4AsKxQEQLwQp5nFZVpVbWk8fZ7jC9EYqQKQgDTCbaIMMBmiRddd9nIOFyGYysbSQDAcjGqd6v29DU36XflMzy96Rrt5p4NyvaZCTpUzLNccpHNe30oOD9DJ5s75DWJOJ2NxHAVQiuqCQ64P4jDQgChalCfn3YnTh61Xy2P4SrHFtZnvuT/3fkZOp5N8+T0mDMEIIQz4+5wT5+6fduN+p37d5lPF7I8HYzgck2HulkSRdeFNufL6kHdgF6PV/L3btNurGmQ0poHqhAA6AuikKpDj+MIu6lN7ursUTasGEyXbd6hz2/f6THGhpyB/gPWrtomqQ1SCMvrcPWv/UHwf0yPu0PLLfR0MFxOKmcm6ci9v+z7GiFQOnHY3uMPokhZFFcyV7iEAAnh5cIXd5ktuGAQQkSi4RYaTw5bI1P7zf7BxwEAsPxrDzyKKsraluN7eJEF87sHSpJCQr5qHPDGcNBfHbj7xg36hq67SdhfCwQQxb3H/jX79N7/DTXVb2xb+6AUC7dCgmWoq37k1cPnp1u9HThnNJ4Ylhur+3jJzCBDD+FQoNo8duZxbOgRbOghpalmozM1f0xuqN4AKHNKB45/X2mt385S2Rm5vmo9UpVdcm0F5bZbEoJzwTl1JmePGlvWPQg11c9zhUUS9FVaZ8d20UR6khVKCZpIT0JVMXw3bf8dYdsFqaaimyXSk/qG1feYJ4eeRopsIK8nwtK5WXChWsayc6xQSgIhOPYaZXJDTR/yeMKQYBlAAOlSagwQLNN4YghAiJChBVmuuAQlSeW5wmJhf/+/Kg01fYIxR66MrmL5YoKlsjNQIoqgzHGmZvuhohjI64kIylyazEydL0xyzlmhlMD54hJUlrsTVB17tt8Z7ItUSjUCAFDTrHZmEzSuebBPcMFKeZZ1bW7OT9hDgeWhAFcTPCtccYJHr2u6LrTl+j9QY1VruOMUjZbOO4AQzGjvvttJLg2l9u/6i1ikvM1JJUfVWNVa7jomTSVHgVjegEIIMZRknZvFlFBUH0SIEG+0Pdt/4NtucmkYIEyCG7b+OpJfy9q9XZRApLG8b+dveGpadji55Ljg3LVSC6eZZabdYn7BzSUnICaKWSrEESGqk89Ma+XV6/ITZ356JevzopkCnDPsN6Ik5K/BfiPqTMwe0VY13wiE4HJDVS8vWRl7aGIPDngr7Im5flYsXdoE9ypvBgQryi+tp/VWpblmE0AIQ4wk5PVEWCo7c6F878MKxEgmkUCtu5QaA0Lw4P23/X+AUif/4sG/tyfn+7njlqAkqfr6zrtoJj+Xfezlb1inRp5n2cIilIhMouEWd3bxkn9myNDD3LILhb39/yIctxS896Zv0GR2CnuN8siX7v5HaXlcorCGJvcCfukk0VXeAAScM4gQ8mxa/Rm9p/U2gBCGBCtIVwM8X1x6t8oyOpc4Kxy3BAmRC7uPfoeUhxq9O/q+4i4sDUmxtjaoyB4oSxrSVJ/vho2/SpNtUwACaJ0eezH/9N6/5KaVf6/e7AcJRAgFPrGznIQCNfrajjvpUnpcQAjdhcSQO780eK4NCwAA5IaaDUiVvbxQSkJFNoxrNnzJOjX8nLuQGLKHJvZI1bFu47q+LyNN/btLqUgEYw4O+ioDd9/0p8Jxi9x2SiyZmXRmFgaUxpo+e3L2qNJUu5ll8/MkHKjhmupDquJluUJcuPR1CR5s6CHv9Zu+KNdWrrHHpg8gXQsKh5pIV/00kZ7kRTOldjZfDxDCdGFpiKVzMyyTm1eaajdinyeCFPlvuO28IYgkIX+V//brfh9KklY6evrHJOivhupy37ynr+fTLF9YYqnstNbTfpvW0347N+28c3Z8t9reuMOZmjsOMfqWYJwBsCx3Dt5z6yxSFcM8OfQ0KQs2nK8OgktLz6FEFGPLuvuN7Rt+mS6lxoTt5IVLLbP/1I/l+poNvFBKOhMzh2g6O8eLVgZwRgEhSvHVY/8mVUTajC3rHkSq4kW6+ie8ZL0uyQERhGpX62Z9befH7ZGJvfrG7s8ojTV9QAhuj00fcOcWzyBN9WurWnZ6+rrvdWcWTtJMfh4AAITl5El5qAnKl25VvcpV3jOWlcU2AACwVHYm86MX/tgZnz3MHddCquIBK8UWiJG0Ep98JAsnamfTDhL219jDU69aJ4efdSbmjipN1X1ad+utzuRcf2H/iR/YQ5N73LmlQRIO1AY+ccN/VbuabwQAImG7ReEyR1vTfvuyL4jgUJL0NzvesscIlqSqaFdhz9Hv5p7Z9003nhjxXrvhi3Jj9YbMI8/+vyydn9PXdtwBCZZ5wUzZYzMHAACAM8BcVzhlUVLpMaDv8D7rheZ2ubuqTmoGQAhCgLTnhdLjlAJXkqBUKohcQ4u0akVhfJ4Th629ZkkUW1fJawJhXJbLsFRykS6kEiyu6dA4+qr5klnixVAZjrZ2yesmR9xB2xLnFYelAs/PTLgjriNs2xLmMz8qPNzSKa9Z06du1zyysThHp5NLbIFS4BRyLDt02unv2aBsZwzQ2gaptbyC1IwPOacUFar+II7se9F6ilFATx2zD95yt/Hg3BQd7+5Vtzq2MM+csA97/Ti4FKezkgTlTIotvfTT4qP3fdn/u7bNrY3XajefOeEcRgggIAR45dnSj578YeGhpnZ5tWYgr9eHAksLbDadZIuGF/nPnrQPLy3QWdsSphZCntW9ylaPB3mPH7R2ByMk6jjCGj3rLE9LpdQBfPk6ZA6MPJd7eu83WSo7LTjnUjTcJFY8JZG8PLEKvIma9O0i11X2hD9/52/KtRU9yKOFsFePAIwlYTsF4VIbCMHluoo1xvZ1v8RzhUVuWtnCgRM/cEamD3hv2PgrSkvdVvGaGOCKE09CCAFlaVg4rskLZkqqLO+AlLtSdaxbUOYIzqlcX7VeOG4JKYrhxhNDNJ4YUTuarte6224FQnBk6BHBOJUqyzulaLiZpnOzLJmepMnMFCkLNQpKLev06IvW2bFdwnFL+ef3/rXa1XoLxJgIwZkzNX+M205BbW/cATCS6FJ6TFDmSBXlHUhVDHti9igAAAAumKDUdiZmj5BQoIYm01OFXQf/gZSFGuTqWJc1OPoy0rWAVB3rzu/rfxhKRF2JcWxBqb0yVewY0rVxuSbWLWy3KJWFGknQV106evpH7uzCAE3n5kk4WIu9nnKoKl5u2TnhLrdxC8psls7NOQCAc7GV4cfBtrX6JlXH3rkJ+2xyPj9jlXjBFyIRSUFqoEyqaF2jb16YdEbmJ+2Ry34RHyAkFKrV2ppv4LZTNAdOP/5+qY2veDOiVtVttGYn99NcdkYw6riZ1Hhw4/av2fH5E7SYj7uZ1Hi2/+BDzDIzECPJWYqfTh/a+3dSINRA89kZiCD2dfd+zpwa3+1p6fhYaWz4eQAR0qpq+wR1rezxQ9/1r+37wjt9I4hIavmmm76klFV0W8n5U7RUiEuUWlZi7gTERMGaJ8IcO8edbJ54fFFmm1mIsER0b1QJV3RBhF98q0lgdCk94UwvHCeRYIM9PnOIW06BpTLTxf3Hv+e9aetvS9FI8znpp6DMNY+e+jHPF39uPEQ+NDDumqdGX0C6FjhnZIY8ahDpaoCl83M0mZli6dzcB/0y3zUYSzjgrXAm5o4inzfKS2aWZfJznu3rfinwqfDXi4cGHrHOjO8iIV9V/rlX/6awp/+fLzAYLQIADl5uaWToYWG7JW7aucDHd/wXuSbWTcKBWuzzlLnx5Iig1Ba2U3RnF8/8rGWwvygIl1rmscEnVlqhOEAQIY8ehoqks0x+ni6lxvmK8d07xRqe3GMOjDzn2bj6XuwzosCltmdz932ACwYVSZcqytq4ZefduaVBli3E3fmlQfPUyAv28NQ+trLp/UVgOWmmBViusJh7bt9f4YC3UopGWnihlEw9/NhvCtsp6pvW3K/3tN8OFVmni8nRZf8cotrjs4dJeaRZ6+m43Tw++EThlYP/4L1x62+pq5pvAAD86OJjCcc1IcEK8ujB/Kv7Hua2U5TrKtfJVdFV9tj0AaW+aj3PF5eKB0/+0Do1/Jyg1Jbrq3sB51TQ1xI8UJIU383bvuLZtOYBni8ukZC/1p6YPeLOxU97NvZ8Rmmq3QwVWacLiSFuWlmpKrZq+foAIdIUn2dD96fd+aWzEKHHBOfnz0mkqV7/7df9ht7TcQfLFeJyVbTLHps+SBPpcYgQYSQ7S5OZSQAh0la33UIXkyOFPUe/Kxy3JFWUtSFZ1i5O3PBCcYlllyd5CMZdms7NYq9edjn9jlxT2aO0NlxTOnzyUeFSi2WXWzxxwFfpjE0fwEFfld7X/WmazEy7c/FTcmW0k5lWVli2zLKFeGHm2ICnr/teZ2r+OCT4excaMENJ0tS2xmsBEIKmstNsYvYIy+RmWTo3x22nqLY3Xoe9ngi37ALLFeICAKDUV/WuVB/nAMYSMrTgu//VXeUql0cIwQXjy79bgqVlBZke0td1Am1Nm7qiNAFQlvWV5OtHsrhHouFWgBCxBsd3ccc1jd7Ou5SGql5rcHx3/uXD/0iXUqOCMgoRQmpHw7VKa9024VLHHpl61Tx29kl7bPYQL5ZSSnPtFrW9fvtbmSwjjxYCCBHz5PAz2cde/u/Cdgrem7Z8Te1svD771O7/xS2n4L/zuj8ytq/7JYAQoansDF1IjACwPHmzup60NLbKq1xXONWNUqtrCyuXZonJUXewf7+5a/Sse5IzwW/+hOFft1ndYZmiJCvwdQpyxxY2QvDgxLBzeuysc6pzjdIXrSA1U2Pu2VP99oFsmicgBGhmwh2uqSctCAM8MeKcAQAAy+Sl2Sk6Zpm86PPjIKXCSS7SBSLBF8bOOie71qqbmzulnlAZju1+tvTjyVF30DK5aXjRrkKOp5va5R7OAT+yz3pxTZ+yfWrUPTvQb7/KuRCKig5wJlj3BnXb0Cmnf36aThRyIptJsYRVEsXkIptnVDBC4AuLc3Sqd5u2s75Z6qBUuJwKOjjgHKHL6sJBRUUTY2edgdXr1a2NbVJXPsvTB3abzy7N0xnGAHvqkcJ3WjrlNS2d8pr5aToxfNo5tvk6dOvB3eaz89N0AoBlH0MgVpI4HjWgNFStF7UVPfq6TqCuaq5AqmIs36eHVtrd35PiI8QIh79w11eNLWs+u1zIWKZ05MxjuWf3/qW6qvlGY+uaB4oHTv6ARAL1xta1DyJV9krRcFPxlSMPZX784tfDn7/rW1Is3AwAAMtq4CuPm1eUviNIkWet0yMvLL8ocL7tP/fky99YfiAA3LYLgjIXG54/Rx4tyG27wPOlBPZoQaks1IA01YdKVpYrsgdAhO2JmUPWwPBzdCk1ds6LDmK035mNn4IQISAEX9mXwuUx55wJl5oAQmQNjr0sKLWEs1xU4sVSqrj/2PcAFxQgRIRtF8xcIQ4lSYMES2K56KwDfPIRni8uAYRw8jv/8RUgBOe2cz6hzUtmFiK4x5mYPQLl5QTtciJn2W+IpbOzqR88+XsQIiQodXjJygAAgD0y9aqDZw4DCOG5BI+kQLWuTetemnOmJk6bxyECMFguVUIIkDeAQ83d+gbOAQuUk9g5VdzPG0pj3RapItZFgoEae3R8NwDg5yvBAzGWBWO0cOb4o/7eLb+aObLvW2pF9XqIEDEnx15htpW14nPHjbauO2l+efPtW73ufq2mYSvNZaaz/Qf+iRYLcb2h9Uas6kGlJdaZO3XsB97ONfeqlbUbiiODT4M3kYe/FUqwvE2P1m6wkgunlWB5G3edgpWcHwAAQL2yYYvgjCIi6cJ1SrSYWwAAQoSJYi5MHRSuUwTirQ3xVk6ei/veAcToVV40M3JTzUaIEHIXEsPuzMLAG7wPrnJFrJgT7gEXtOpBhBAkWBbu+Szxhx6IEcEBb6U1MPJc6dDAI8UDJ36AvZ4y73W9X2SZ/JwzNnNY7+28S1DmlPoHn3g702OwoYUBQggCAcyBkWftkan92uqWndbZiT1m/+Dj4S98/O9YrpjgpcuMWb/KG1j5XT67cgMALAcOEGPCnfdmsg8vltKFlw//k9Jcu1lf33mXcJyiO7d0xp1PDNGl1BhNZqdZNr/AMvk5msxO83wx8Qtp5okQBgTLpDzcpK/t/Lgzs3DSXVgaBJwz5DPKlfq224ztvV+ACGKazEwJxy1hr6dMqol1k2ikBVBq2+MzhwCC2Lhu41ewV494r+37CokEj9BE+nWjNLnjFoUAQqqKrvJsXnO/EELItZVrIMayXFPRUzp88hFnYvaI4JwpbQ3XSOXhZrWj6frSkYFHLzQQlmsr1uprOz/OC6XkuXWlirJ2vafjdm5ZOfPYmcdYoZQioUC1tqb9Dnd+6YygzJFqYt3WmdEX7dGp/WpL/Tb77PgucMGEQG116y36uq673YXEEC+ZGevs+C7rzOiLEEGidbfdClXZkGKRVihJmju/OMjyxSW1o+l6EvLXkMjydJk3QIiidbffxpeTMHm1reEady5++pJfha75g5+8+XPm8cHH7dGpA76dW7+GI4E6Z3T6APYbMak62uVMzBxeGbO6UVrfdTdECBceefo/00R6HHDOkKGH9Z72j3lv2Pwb9vLY17Fz60NCFKmirIMVSkleKKV4sZSyz47vhoqs671dn7KHJnabJwafoon0BDftLMRYJpFAvVQd69I3dN8rVce6gLhy08urXOWdsOIfSYQQQqos64h86e5/BK9V8uG5YhSUiIo+oooyJEtq+IufKOMFM+mMzxw2tq/7nLF93eftkekDdCk9JleVdyBNMZCuDkNNgUpL7RaAEC7u6f+XzE9e+jpLZWcviO9OQ4y/81YG6sjQQ4BzZp0Ze4mbVta7o+9XjG1rHizsPf6wXB1dHfj49f9Fqi5fteIBCu3R6YPLLbwAUApchCBanKczhZzI9B+wdjEqaCHHM+PDzqn4HD3vpXXikL2nVBR5IAC40GT5HCttj3lwUex6AQwh+OM9z5eeoK44n+BOJ9kSQvCxi9smVx4zCwB4ZOX2Ogp5nrv4WJIM+xkFlK8oYWyLW5d5Pf/pdceiggIAzqzcLsnKWm/2mLmV21MAAIAwREOn7H53xWcMgOV4CaxMVjK2rfucsXXtZy94PjznWYp0JQAReld+hq8DIoRUxQB4+fxlqew0TWQmka76hUPNwksH/15prN4g11Wus06NPA+2r/88JETWVrfcgr2eMmd64SQAggsuOEtnZ0pHBx8DK4rYtwO3HRNcenP/hjh8paX8fFu5VFFWcmbjAzxfWBIOtQr7jv7z5RTbK2rdSxnkX6wOfp3KcCWWvHhNd+V2jgtfPwcAXFLEsFI4Ll3imEAsq7je4Ku1ssd5XSxtFXkhMedMJ+PubF272p1N0ngm4S7E6pTmYLlUUdWotE8NWSczCRp3bP6BWKIsW9AgAtH53zcHQABIJFWKlrcZG3u3I0XxIk0LvlufzrfDFSV4EJHUshvvCAAEsTU/c8TnOAXi8Ubthdl+uSy2ytPcfmv+1LEfIFkxiOGthAih9P5dfxHo2/ZbUjDc6GZS43pDyw3m7OQBKABAkqRRCKAarezJnz727/7V6z8rBUL18F0YEmvl1WuJ7o2y2bFXinNjcW9t202S4asszozuWjzw7J+6hcwMd52ioK4pLm5JEYJfKmkAMSZQIirAr31xAEIMABAAQQy44IBzilSF0WRmkibS40AILhijEGOCNNUrbKf4C7kBe59Z+Qzf4HfxoQZjCfu9MW45eYAg1rvbb5FrY93OdPwUCftrfLds+09KU3WfMxMfoIn0xNtZGhl6GBt6GBAiO+Mzhz3b1n6udOzsU87E7GHPpu77sN9bYY/PHuGm/QvR0vNBsXIhfdsX+suux4VAsvRq7um930SGHjKPn/0py+TnhO0UheOav0gJzisAIlnyOLPxU9bp4eehLOtSNNxCIsEGHA7UAM6Zm8xOZh595o+cybl+iBCW66t6fTu3fg0H/VXOxOwRpbGmj6WyM/bQ+B7v9Zt/zdiy7kEokT8XLj0fCAjbKbJcfsHsP/P4uapacffhhzyb1tzvTM4e5Y5b8mxe84B54uxPrbPjrzhTc8fc+aVBd35x8JwHD5JlzXfrNTchVfFR25mHkqSpHU3XQ4zl0vEzTxT3Hv0uyxbigroWlCTNOju2K3D3zj9h2XwcMO4KyhxncvaofMOW30RevQycM8OVZS385XvuEYy5pSMDj5rHB5/ihVJCqol1hx64868ARpLZf/onhZcOfIsVSklBqQ0BhIBgGfuMqHeH+assm1+4uNqIVMXnLiwNOmMzh7jjFPGx049jr1F+sfAcSkQ2ru17UG6q3UxT2Rm1vXEH8hvR4u7DDyltjdfKtRU92Sde+u/O6PQBgCBGuupHXk9Z4BM7/1jrbru1uOfId0isrE3YTtE8OfS0trr1Vq2n43YAwF+9dhAIIcESEIKTcLD2XNC94tEwkn9p//+5aFKZCQA4AxEctMemD3o2dN/DUq9P2l3lKufAECsyVMsJkAO2KM06wn5HKkvuuCX77MRuKRZpgQjiZW9JhKCEFaipPl6ycoJSy51aOMk+osptqCne5UmBuXluuyUS9FaWjp55jCYyk0pTzSaltW4LAAAUXz3+vdLRMz9RW+u2ulMLx7NPvvI/aTLzBmPyK5mOhz16SFBms1R21tO3+h7/7df8PlQVw7Op+zMk5K8Wrms5UwsnpIpIK5AlzZmYPXyuJYS6wp2bomOOzS1NR0b/fvPlxfk3Jm8AAGB+xp0EALyrgRQrSZw3eH6+V55YFyZTPmg4Exxc5ENFU9kZ6/ToS3KhlBJcMACEgAgTqMoGxFjixVIaCMCd6YXjgrH37L0ISl3Phq5/Vzsar0c+TxlNZWdSDz/x26H7P/YXkV+557vW0MReSLDs2bT601pP663IowYAWN4Dyo3VfVJV+SqWLSyUjp7+Sf7Fg9+yzoztet/jMMapsO0iMjwRQan9nibAfo7JZ2jyhUdS325d69lUVinVxeqU5sVpZ6y8Rm6wiqwwcqJ0MJOg8VTcnR0/bV7Wq+tnAUQI4YC/Su1oWyWVl7WSgL8K6XpIuK4JIEQkEm7kppWzR8de0btXfRzKkvZ+WmJcUYIH63pIjpS3M7OUpsXCkp2ID6pVtRuWVS9CSIFQvRKt7Jb8wVpzenwPxFh2M6nJ9IHdf6lEYh2l8eEXjLauuyAhaml8+AWtvuna7JFX/69SUb22NDH8ohqrWqOUx1YJAQRn9B1t4oluRAWjjuwPN1OzuGRnk2NLB5/7UyebHH8nJ6JUHm40rt2wUzDmAsrc5dGKqg8HfJUAIcLyhUUIluW4wrLzUCYad1xTWE4BebQg9hnlQgief37f34B3eVG4yi8mSJF07PWUKQ1VvSTsr1PbGrbb47OH5eryToAQ4YVSEhKiCNspnpM2XvHaHi2AA95K387NXwUIEWFaORIO1Brb1j6I/UYUYERYIjN1ziT8Kj8/cMe1IIR/8xFK5LwBQanN88UlZ2qu3zoz8oIUK2vV1nbeqa/tvItEgvWCUls4bin9vSd+xz47/soFn9VjUjRyOvLle78buOvGP7ZHp17FIX+t98YtvwUxltSulpsLe4/8MwBg+vyxLKeIZNmjtNRvzT27+y+sk0PPAoSQMxs/qbY1XGdsW//57GMvft0aHHv5gmT969QuOOirlOur1psnBp8UfNmMW66p6MFBXxXLFeJK8/LG5hxIVwOAcSbXVa51p+aPI03xyzUVPdjvjZFwsA4AMHxuXWx4wvnn9n6zsPvwQ1J1bLXa1nDN8gjSUGPm0Wf+qLD36HcvM4ErDgn+GgAQiouqjUhX/VI00irVVa5lifSEVBldRVOZyYsTQXJleafvhi1fpcn0JA54Y6SirI0XSim5vmqd2lK3Jf3Dp37fGpq4cPpSAUI4V3jpwN+Hv3jPQ2pny408l1+wJ2aP8mx+gS6lx7R1nR/HPuN75wyXBaWOu5Qa82xcc58w7TwgWGLp7Ky2puOOUv/pnwh66UB/pUI4CQD480v/in7x0ZG30Y8iGxWoVTjCXsrx5JGSyA1xcfkgUkWe6gCKbFKhp44Dbpu8MG6KwrglStNUOG+4HkAIkRcGV2vI2yJBOQgEEEts5gkAIQyi8u3ayjpFnh3M8uQhV9hXpArFEKteFF7rhYHVGBJPkefO5njyiC3M+MWPRRDLYVSxU4ZqWZrHd5V4/i0NqTHEShDFrm2QurbIQKuQoRJmgJkVpPGnrrCSpihOWKI4xQS9Irm8cKkDEfpO8cCJHwjGKWDchRhJUFf9JByopYnMJC+ZGQAhujCB/FECqYoP6Vpg2f9scq89NLlXCCEgxkTrat5JoqEmZ3K+v7j/xA/UzqbrSXm4KfMfz/83msq+IblzJUAEYfjzdwWBEII7bklpq99mnhp9gS6lJ5Smmo1IV/3ZH7/4dZYvJsKfu+OvAeeMJjKT5/3IABDUFU64jFQQCUiSDD/0wzt+nmG5YgJK5KsQI0lQZgMuBJQlFQe8FUiRDTeeGBaMU8A5vfia9W4xT42+YJ4cfsbYtvZBqTzU5N2x4ctQkXQSDTV5Y+GWc49DqmIIzjnL5OfGA6J1AAAgAElEQVTdxdSou5AYcacXjlvDU6+6U/MnLlTtvp8ISh2kqX7k0UM0kR5/j/2nf26hrnD9IbK/oVNb4/HhQGLOnVq1ydhhlXhhdtQaLOVZ1vDj4OmDhV3OssrsfQFihPXVq+709K69X6qIdRaPHvuhNTK2W66tWS9XxLoEpTaEEAFGbb276y7s81WYp8889X7uua5MwaN5wnK4vM3NpiblUKQJACC87avvBpjI3Daz9uLCQGTHrV8HAEA3l5l2FhcGjNbO2wXjbnF08GmlPLZaDoWbtNrGbXIk2q5W1W0UlFpuOjmu1zVday8tnPY0t9/CHStPM6mJd/JGBOfUSsyfcIu5BSUUbS9MDj5jZxJjb/3MS4PD/hqtp/12++z4LigRlaYy01CRPYIxV4pFWlk6O8NdaknhQK05MrkPebQQRJhwy8qTslADkIiiVJR3lAxPGbia4PnAgMuqK7g8eQvL5/pvecnKXqysgoRISFcDSJE9UCIqQBALvhzICcc1ue0UheUU3itFFvYZUYgRgYqkuzOLA6Qs1MAyublS/+ATvGRltZ7WW7Q1bbdx++0590MEYfgLn1AgRkRpqt5YOnL6x6WjZx4zrun9ZXd28bQzEx/wbOj6JE3lZj6qgejPOx90cgcihFaUFTIkWAUIIV400284ZzAmSFf9UJWNlYlWRDBGAeNUuHT5nDHtwook94oRlLnG9t4hqaK83di89rNSTUU30tUAy+Rm7aGJ3Vp3223CpZYzOXf04s/KjSdG/Lde+yPfLdt/B2mqH/k8Ze7U/DF7cvaovm7VXTjorwIXJHi4vXzBFZaVwx4tpPetvgdChOW6yrX6hu57C3uPfMc6O7brzc57ub6qV2mu24IMT8SdXzwjVkbbs3R+jgT9VSIgKiBCEvJoQaSpflIWaoCyrEMAgL5h9SfVrpad1pnRF6Es6aQs1HhuXWToYShLmnBcU6qOdukbVt/DUplpqTLaaQ4MPV06PPDom41Xv9Dr5kIgQsQ6O7bLOjX8rNbZfKMUK2t15+KnwAVRIyREDnzq5ge4ZedpIj3B0tlZZ3KuX6os69B7V99jD469ZI9O7X/DMYUQOOA7ao/PHFJb67ebo1MHaCo7TYK+KpbLx5WKSJvSVLMJAPA4AAAIxy1ZJ4ee0Va17HTnF8+wXCEuVcdWO2MzB7Wu1pvda3q/SIL+H7J8YVHQt67o/6IDIUQ69DZHcNVtq+Wt9yhQrxJAuBm+uM+PIptcYSeCuPy5HE8duTB5gSCSwqjypiay+k5LlGZV6KlWkV6dBYkDUVT7CRmq5T3KtXaGL74yTc/+n3NJIgwkI0rqP53liQMe6G/34VCPgQJdAghGgZNhws37ULgXAiS5wkl7UdAyRWGCCveSgSyBkseHwr2tUu89EVx5MwAAucJJZeHSvjJcfUeN1HY8xeafK4n82LlzGwOiV5CGB7wouDrCq25rl/vmXWElZtnItxEgqgr1GgMGujzI3z5Nz/5tUWQHy1D1zQFctlmHvjYEkYQAkhHASghHd+R48lAIxnZgQHQZql93hHVFipuV/4AL2xpsAMDiyu0jD9JUP9LVAMsW40IIASUiy7UVbf7btt8GVcnIPvHKnwmXWp5N3Z8xtq19EAjBnZn4wDuNQ6AkaVBTfFAiKlIVb/bxl78BFdnj6Vt9D88VFpPP7PumMzF7NPDJG/8EGZ4wXUyN8oJ5XsHl2sIq5HnWF0ChdJIvXmh8fJWfDSvFyguT9kUAwM/cHFdYVi7/0sH/qzRV95FYpNW4pveLvGRl6FJqnOdLSbqUHnfjyRG6mBqjifQEy5eWeMnK8pKZeS/j/ncKyxYWci+8+jcQISIc1/woqe+zKZrwhci3Bo9oezt6PdtScXeWU0E1A3vPHC7unh2zhpLz7vRbr/TegTyesNreeiMrFBf56HgKUGaTskgTN80My+cXWC4fB6KsjRWKS4Iyh5dK6dLJU4+d8zt6P7iiBA/EWEaK4lVjVWuq7v3Cj0ggWAcxkYEQQlDXlHyBGsEFE9Q1se6JqNGKbsEFB0IwITgDnDNOqc1TSyNIkg17fuYokhWfWlXbpze23og1PYQk2ZM71f89N/fOMvlONjmmx2r7gOAUCM6xqgeJbpRhWfUBAAHW9AgisgYxViBaHmUsOKecOiU3mxp38unX/TigJKlSLNKy4uKv4WR6ipesDHCphXTVDyWiCNstsVR2RopGWgWlNk2kJ3DAW2GdHd8FESLCtPPnTfmu8r4CJaJonU3Xe3duboIIESBhBXs9ZTjgjbFccTH7+Mv/A6wEZUhTDLmhqtd3y9Y+taVuC4mFW7DfiEGJqMKlJi9ZWZrITNKFxJA9PntEqa885MzEB971ZgNBxAqlRPHgwCNIlnS6mBwRtlP09HV9ikTDzWpr3VaoyB6kKl5IsHS5zdob10UEEiwLyuzCK0cfyj2//+88G1ff60zNH8s/v//vfLdt/z3BmMtWvELeDRAhhL16BIcCNSTsq4aq4nXnlgad6YWTV5NHHy4gwZLaWr9Nqi5f5b1pM4aEyNjQIzjgjXHHNbM/fvHrYGUUNVJkTa6rWOPbuXmj0lq3VaqItOOANwZlSRcus4Rp5WgqO+0uJIadibkjSlPNIWdq/vjbUaIJ17Vw2F+LPFrInVkY4IVSQlDqKO2N1+FwoM4emdx3OZmyMzV3DCqyIYRgzsTsEaSqPkCZzXL5uFxXuRYidPBcwCZstyQYc7hp5UhleSfWtQBdSk8gwxOBsqS6U/PH36qaKDdUb0AeLaA01WyUouHm0qGT/17qP/Vj8/jgkwAhonY23yBFwy2QYMkanzkEMCJIU30kFKj1bFpzPw74KpWW+q2AcYoD3ti5dZEiG0AIARXZUOqrNwjbKUJJUrHfGyv1n/rJO57SCCHCPiOq93Z9CmIs0XR2httO4cKiIPZ6Impb43V0fmnQPHn2p5BgWa6qWC1XxbpIOFBbSKTGL/e58Hwx4UzOHlXqq3pZrriIZEnnJTsLEMQQY1lprO2DBD8tKHMF5xwb+j57eHKfurr1Zp4vJUpHBn4k11b2QFnSfDdf87taT8ft5rEzjysNNXvdufjpS00a+ygAIUQBVL4lims/SYWTLfDsaYpYgQo7rUNvkwudtM1K02W45g4NGvUIou9xsfwd+VFkYzmpucsR1qIPhddjSHQumOVDkb6CSJ8o8tywH0U2luOaT8zR0X8GKyPdFahGvSiw2uT5kTxPHcWA6BJUQqYojGNAPArSK6lw0jr0tgAsBAOsRLgcIFA6SoX7Oo8HAmVfBWm4z4CBLlfYyQLPnAIAIgE49ePwxhxP92OB9WrS8itzdOxhAMCJc891hZOecgf/yhLFaQ/yd1SQxs96kK9NhZ7aPM+czPHkYQVqMQSQAgAAKvLUGijYQ4WTEUJQGWoxDqipIC2W56ljrnAzPhxeF8YVOyGE3xcr5q9XeeeglRYtAASAElE8G1ff69nYfa81NLnXPj3+stbTeotny5oHsFcvAwhhXjRT4l1UtM/FR0hTfXJNtMsemXrVe23vF6WKSFtx3/F/5SUzq3U179R7V90FMSIsm1/gxdcGIZSKvEgI/DZEAAoBBHXFRz6B/IuK4EJAQg7knt//t8a2db9kn53YbQ2Ov+JML5xg2fyCYNwFy/tW/kEncy7FSrvixAf9Oj4IorVKQ8d6T3c+y1LP/FvyW1ZxsYAlKFFXONQVzko74PsKNowo4IzykplWm5uuRV6jHKmq35mdO07CoQZIsCIoteWKWJc9MbnfGk68jHQ9CDAm4BJtmj8LrijB46YSI/GfPvpVrBtlgjFHMOoI1yly1zUFo7ZgzBGU2oBR+7y/jRBCiJWTRaxI7vhysgcAwQGACBKiIFkxkKJ4IcKyk06OCHb5auSbYcanD4e7t/6a5AvVceqWgqv6vmjUtNwIECaCMwfLakBQt8SZawpKHSQrXgAREozaTjYxCgD49QvXc8ZnjiS//eiXAEYS9nmjECMiuOBQJqpUWd4BIMTCcUrCISoAAHDLKcCVFi5keMLCpbZ58uzTLJV5X7OKFwIhQhgSjxDcZeKNrW8ESZ46vftrSXvmhRxN9KvYqHG5teRy+w2jhN9PICGy2la3VV/f+Qkc9FXB5RNiGSG4dWbs5fxLh/7hzYJ87DPKfB/b/ntaZ9P1F9/nzMZPF/f0/ws2dFdpqdsS/uW7P6s0Vm1Auupj+WLSmZg74s4nzvKimVHb6rfra9vvkMpDjaCzcYfHcU26mBq1To2+KNdVPuTOxk9dceJlBaTIGpSIKlVEBIAQQ4Jla2hijz06c1BurOpVmmo2QUXWiwdO/rtnc899pDzYoHY2XY9UZY9wqQ04Z2+m8IAYE4CRxAqllDMTH/Du2PBlwJibf+XIQzjoq1SaajYCxplYca5/W69dUwwc9FXJNbFuqSq6KvJr97aSoK8KefQQJEiCquLlppV1Z5fOhO67bZQupSbceHKIxlNjvGRm+HK72c888QMJkZYVJUgCGBEIEQIQrEwUYLZwXEu41Ho7ShkoS6rW2Xi9trbjduw3YhcmFwTnzDx29sni3mMP87dhhn3J40AIoSLpSNf8UizSJtdVrCEVkVbsM6KAc8ZyxUVnav64PTy1j6ayM8Jy8oK9+QTAKwHpWsB70+avenpX3X3xfTSRnizu7X8Y6WpeaarpC/3SnQ8oLbWbsKGHecnM2BNz/fTwqUdZoZRU6qt69d7Ou9SyYL3aVr9dbKEP0ER6wjoz/rLSXPsdZ2q+X1yBKTWUZQ1pml/YbtEenzkECZY8G1bfSyrK2qBE1NLhgUcvNfYcAABoOjvDLTsvlYdbeK6wVDx4/Id0MTWCDD2sNNVtKew69I9gZQSr4JwJxzWdybmjUCIqioTqpRpltVQeboIEKyxfeMvqPAn4KkpHTv3InV0YkGJl7VBT/Pr6rruRRw870wsnkK4GAMaSPTp1QDDmKC31W5Wm2s3CsvM0mZkSnDOWTE8gXQ1w87X/33NKQikaaXYXk2PO5OwREg7W45CvmhffuUE6t528pGtBlspOs3xxSaqKdYnl/9Pz54NUHeuGElFYrhDXulpvJmWhRsAFw34jBoTg7kx84HLrC8aosb13DAAg1Jb6bc7M/AmkqX6Wzc8LymyppmIN8ughAEAcAABYoZRSGqr/NlR119/yQjGJdC0gHNd0ZxYGkK4Fsc+Iejb23Kev77qb5fJx341bXzFPDT/P0tlpbtkfmXHUHuhvqyed/w8EkKTEwvNClLgCtKgM1XIGmCVDtUxFei0EiJTjmrtyPNUPADhFoORpldbdDwCEHuhrU5GnRghOMdKqMCAqEZKPAicjASUMAAAyVMvASoKHANkPAIAusNNUuPklNv2YCo26clJzlw69zS6wk0AASIGbw4LoJZ4fDaAyvwyVMgTxE1y81mIXxbWfqsRNn8/x1BEKnIwlSjM68jYhQLxMMFOH3hYG3bwGvc0xUn+vBOUJVzg5AITAEGsRUn1HhsV3CbAcV2IgeZighbxIHXOBk0IQqTawFoQQopI05bigJQSQJEG1zBLFaQEENaC/sxzX3MkFdxSoVYRx5c4Em/sp+IhOvXovgbrqRx4tKNdXrQt++uZvqG0N1wAIoVxZ1qF1Nd0ABBDmyaFnlIbqXqmyrEM4bkm47B1fL6FEFKhIOiRY1jd0fUppqtmIvJ4yZ3z2iPeGTb9OYuEWwDmDEtGEEIJl8vPsov/NFYPhq3wEEJS6SFO/Yw2MPO8upkbfrvXBVT4Yyirl2s4+45qFSWfUKvHi2IB7FLxPk6guBYQQqi1NERIM1qGaml6Wy80XDhz+Dgn4a/R1a+51F+Kncy+98k2Wyc5gv6/St+Oa30ZaYVEqi7TYY+P7AADvatrulXJFCR5mmVmI8A+XHc6FAEKIyxkTf2BAADlzTU9lwzZmlVLcdQoQYQIJ0dx8YYkW83FBnRJAWLJT8UFPZcOWwvTwS5I3WCP7X5PEn2NlAtaeFXdsDCCAQACh93Xfyy07r7bWb82/dOBU6fjgk8CltuCCAQihLRONlIeboERUmlke8/oBfBpAQoo/JFWsjSg1N2Xc+H5wielfBMp+HftbTJwft3lpoUlf94dxe+w/EETPnKv6fRDI9ZVrQw/e8deAc8pNOwcggBBjmUTDTcijhXDIV22eHH4GADB4uTWwoUewz4i68eSoM71wAiKESTTUJMUibdijh9RVTTdIsUir1tN6C8sVluyhyd3OTPw0yxUWsFcvkyqjnaStfrsUC7dy2ynQqYXj3LJzck10tVRVvkqKhVvVtvrt2Sd3/RlS5MevtKIMZUn13bzlt9Tm2k04HKglYX+NZ1P3fc7U/Akc8MaUxuo+Z3bxlDu9bNToTi+c8N9x7R+GP3fHX5nHh5525xbP8JKV8WzoclZGExbs0elDvGRlzx8EIQIxlpBHC/jvvPY/s0Rmsnjg5A/1te136L1ddyuNVb0sk1/g5gXPeavXjSCUqqJdwXtv/orW03YrUmSD23YBe41y4VLLHBh5zjo5/KzS3nCNFAu3SBWRNrWzcQcvllJI1wLCtPPOTHzAHprco3U0vOrMxAd4wUy/l/8hEGNMwv5aEou0eG/c1ClXlXXgoL8a+40oVGUDEqIIl1p0ITHkTC2csIcn95Kg7zjLFuJvVbGBCEJ1VfP20Ofu/GteNNPCcU0AlzfgUjTSAjXFhw09ZJ4cfhZc0P7zdsF+o1zrbl2nrmq+Ue1s2EFCgZpzASxAiADOmbCdAtjScz837Zw1PPWqdXL4WaWh6pgbT47w0qUTHlcC0hQfCQfqaCIz5UzO9QMAAIkEaqWq6CqoKl61o+FaT1/Xp/T1nXfxkpVxJuaOOtMLJ1k6N4d0NSBXRTuVptpNJBpqFoy79tjMYV40U1JlWQeJRVqNslCD0lZ/Tf6Zvd9Emvq9y02AOP96VMUnGHXcxcSwvrbz41CVDWtkcp8nFKiGCCGWzc+By/x+hOUUWCo7zYultDkw9AyEEHqv6/uK0lizUbjUQpriBwAsTzlcGX/McoVF68zoS1pXfk6qifW480uDvrJQIy+ab30xRoiYx04/DhAiUFEMuSbWjVTFj1TlqNJUvRFKkipsp4gDvgoc8FUiRfG6c4unaTwxDCBEUJY0pKkBAgLAmZg9cn5djAiUZQ9NZ2cgghDJskeqjq2GCBGkKt4r/3ZfD8vmF6yhid32yNSrSmv9Np4vLC4nll77OHHAV4FUxYsMPeJMzx9zJuf6sc8oU9sbd4iIqONF800TxLxkZtz5xTOFPYcfUlrrt3HLzssN1X28aKaRRw8hRdYvfLwzNXcs/f0nf89/5/X/hZQFG+zhiT1yXdW6wt4j33HnFs9AWdKV+qp1eu/qe9SOpuu9N2z+qnli8Emlvvpfnen5E1diyPphBkEkVZLm7TJUy11gJw0U6MJA8sbp5CNZnjjoQf6OGG64TwjhFkT6tCWKE34U6QMAnJKgElagXuECO1kShdEiy501YKBriU7/JMMTr1Lg5DRo1Adx9Jogil4DwGsDLxBEKgbEYwtzwRHWkhcGuzzI16ZDb3OcTT2ywMa/p0KjvhI3fFaBWiWFThYCiD3I32Hy4gQA4CgAAMhQjXTIG29hgBZkqEQkKIeocHMT7qn/aYnSfAzX3eNB/g4AIJpjow/p0NsiQzUGAMgJIDgXzFKgGlOhp15Hvma0okBK8/ieAs8M6NDX4gh7yRVWEgAALFGcdIS1mOaLuzN8aS8TbkEAICpJ44MxXP+ZBTbyT6rw1HphsFuCShhcTfC8KyBG2Ni+vgxKRMF+I8qS2enMfzz/X+WG6l4S9FUW9x3/nnn87FPccUvGljUPBO+9+RvCpY5gb69AdtExJYixDAAAUmVZO/YZ5daZsZfc+aVBHPJVIVnSi/tPfF9uqFqvtNRuoZn8/LtRDF3lw89K3HHZaWFX+fkjl6KJfJolHYdbjAoXIQjfK2PydwJUFENb1fExgBABgjN3cWnIPHP2GaW2ZoPe03UX4JzJVZU9Zi6/QBPJMShLHhIONUjRaAfAyx1E7wdXPCZdcPaeTot5r5F8oXolWN5hpxYHAUKElgqL3DGzWNH8SFZ8bmZpGMuaH2EsY1UPOrnUhOQNVGNFDUAIIcREupR6aGUDej5wDH7mY2sAAMAentxnn5145RJBri1XlheRz1MmG7HV9vLG+31vVfGQQHuF2nI/FW7OZIVLThjBkOgONxccUVpighbmrZHvmzw3DgFWQnJVr4r1ypQzv9tihUtOFfhZATEiSFf9uaf3frN48OS/Q1nSjE09n1Ha66+RYpFW7PfGkEcLvdkayNBD+P9n773j5Lzqc/FT3j7v9Jmd7bO9S6td9S5LsmxZrmCKjW1KAgmh5EKAhOSG3MsNuZc0II3kR0LHYLDBNsbdsmz1rlVbbe9lZqfPvP0959w/dmWMLVuyMU4un9/zjz6rz+77nnnLmXOe7/d5Hp8nWnrh5DezP332fyirOm/37Vz3MUaojbxK2H/rtj+lmpG1hqeOknxxHmLMy11NO5EiBdxUbsJNpkdA2F8DIETGuaGnqG7mIceJXDRQB2XJDxHEfLyiO/S+PV9BihxAAv/dazFf48sjLZ61y95tT8yd0U9fegwHfVXqxhX3hN5381f4ykgrhAjbU/Nn+VioqXSo7wfa8fMPuflSwrdr/SfUrSs/hETBwwh1nERqCHKcCAh1k/94/7vAUrX18vUDGPGQ52QuFKgh2cIskkUf4LDAXNdmlqMzl1iv1f1wJeCArypw5/VfFCqibcbZwSed2YUBLhqsExuqV2tHz/2Y5IvznnXL3ws5LBSePPhVdXPvB5y5hUvUsAqAAebOpwbFlvgm381b/phZtmYNThwsPHP4n8CV40TfECCHeb4i2hq4Y/t7pNa6TVxFpBUJvOwu5CYYITbJ5KcBhIiviLTwZaEG4Lo2jgTi6ube99vT8+e0I2cfwB75Uaqb+at0RvFIFv35h/f+L+PC8LPIIwfVjT33UsMq8lVl7Tjsr0WSoL6Zz4AkUZU7G3eE7rn5PVw0WE8WsmPOTPIiXxFtReIvI3ftudRA4elD/4AUOaB0t97kWdVxu2dV5zvcZGbEGp85pW5Y8ZhxdvBJqhm5N0qeLRI8/hr9xMWfZe7/xR9JHY3X+Xas+xgXizQjWfL5btr8GaZbBXti9pSbKcwABJDUWrcZq56Im83PuHOpARbwVkKBl8yLo8+TQikJMeJw0FeFHNeECCK+ItoaeNcNf7XkRfMvr0fyIFn0MdsxkCKHoMBJ7nxqQGyoWcNXlnUAAAASBS94jXBsZtu6u5AZc+YWLpFMfkqorVjh5ksJen7wSam9cQcO+CrBZYKHUgIYpRAjzrOh9x65q+UG7cjp+0m+OLeUTHXVKh+SJb/3unUfpZqR4ZbGBwAAvhs3f4YUSglqmHmIMQ95TmKEurSkp6hu5MWm+AaqGVmSK8w6c8mL+umLj9hj0yd+eWQImetaXDTYQPKlBDStEtONHOR5Came8LXd2VcDcpwotTVsRQIvk1xxDnk9UYjRr6wHkCh4yJLRNSPEgRzmmeOY1HZ0iDGP/Wrsdc+BMOfMJvuRz1MGIERiY+1aapgFZzZxUWyoXQv5xe7Xy2CEEojQoewDj3/Ge93a3/fdvP1PmW7mnUR6GPKcxJdHmrlYpKX4/JGvM0Icuatll7pl9e9IHU07is8d/hfIc9/+ba7I8kAIqDCwLEcXDgtQDKsw2D1NBv81S5MHAQC0RPMXCXZKHuTvItTVGWOuiOQKCCEUoewCAJACfW0AFIY80NdSoJmTs2Tse5S9tMGegRAdTsGZx02mvbRmsJk5bzJ9EgKIqrimDwZRbDMHeb9G8/3jzvm/Xkql6lNRYLBdWPt1BfmaBShGMeBkk6u5HSwRPAEcXW8xY94BVpoHYkSAQnDC7f97h1lpAADM0uT+KFe9B1KIJajWydBbz0HBvzQM6gA7bQMzqbF8f9qdfcoD/e0QYoGCxWhcnRUGS27uAmWLsvg8XTiSpwtHKWA2BAACABADzC3Q9MkyXHOHjLxNWTK/T+KUahl64uBt8AG5EiDPiRBjDkCIAARoyTcQAQQRABAxxzWYaZWunPSKMMSYR15PlC8LNSCfJwoxFhY9Ax2N6kZ2KUyh8JI32m+qMIsQXjSPJ07phRPfLDxz+J/UjT33SK11m0v7T33HTaZHhPqqlVw4UKOs6nwHFHkPNHD+lfPOGzwnBzHmGWOMlvR07uHn/1I70vdDsaF6jdzdsjv38N4vmv2j+8INd3yDucSmhVKS/YY2hi8VgxHCEEHEKCWAUPe/otzn/8d/PSymNmNxcR5Y8g29PBdAiAClhBpm/kqyaIgQBBjxSBZ9XDRUzwW8lVASPMwlNjNtjZpWkWQK06SoLTBCnP/XnsvUnD0ViwuNFfVii+rHoeoGqa211zNtG1SHCCJJQarixT4IATp/tPS8USKl3+R4IIcFKAgKc1zDNXP5RQ4BC1BYWqtjzDPXtbyb1v0egAhhn6/cuDjwJFbVKHgbpcBvfmL9LwY7uzBo59MjhdHzj0rhii4kSn5HK84bianjQiDSbOVSw4AxGmjpeY9TzE9budSwGIg2KxXxda5eSiCOk8A16OLM/pHn/Xu2fg4pcoAfGNsPMTr08hcO8pwod7d1cAFvzJ5OXADsrbM6RxBxApKjGPIqY9SxqJGAEHICkiIAQLjUCs0sqs0KUBqdM4fuJ4CYFtVmLx8DQ04WkBxBEMsi8pQDwAACnMQAdTWSGyDM0QQkhcNC5XU8kiIIYEnCnqdMos1hyCsSViow5L0ucwo2NZIutd/yF4nkSwkAIRJqK7qt0eljUnvDdQAAmPn+Lz4VfPeuvxKbatdDjnvdtAPIcxLkeZnoRk7uar5e6W2/3ZlJ9kOek4R4ZQ9SpADEiBOqY12wvmoV0Wp7sXEAACAASURBVPSMPTZ70hqe/BGgjAr1lSuxz1OGZNErdzbtpJatuQvZsdILJ7/lJDMjUlPtOs/65Xchv7fcf8vWz5NCKQkReuT1Jk2IEPLuXLfFHps5kX3wmT+nupkTG2vWic0167igr9KZWegnucKsu5Ad046df9BNZsYAhzlmWkXmuCbJl+aZJKj6mcEnjDP9P/ft3vxH2KtEwCvt9Bc9eDhmOZp26PT3iy+e/LZQXd7FxUKNpRdO/gcXDtQAQl1mX3tiHVIkPxfy15gDYy+WXjjxTWVlx+1Kb/tt1sjUURz0VXFlwQa+LNyknx18Umyt24zD/mqSzk8504kLJFeco4aZLx08/X2xqXadd8ea35dXtN4ERV7hgr4RN1uYu9ZxvBLY54n4rl9/r7qp5z6AELZGpo4Wnj3yL8qK1pu4aLgx//j+vyG5wpzc2biDKwvVl148+e3CU4e+xhzXVDf3vt9348ZPifVVq8zu1psKTx38KuTwyStJ7hhlTGyoTkKMsFBX2evMpwblFa030ZKRyf7wyc+G7tnzFb4i2ga4xWritQIihLhIIB648/pPeFZ33mmNTh8rvXjyW1zQV6X0tt8CeU5ilBJmWkXAcSJgjCBJ9GK/GoMirzDKKC1pSYAQ9qxZdqe8rHmXNTR5sPDEga9Anjv8hja8HCdASfQSzciKTbXrPOuW3+Vm89NwfOaU2FS7DitygGIs8JVlHXxteTczrII9Od+nn7j4M2Y7phCv6MYBbzkSeEVqq9vKLEdz07lJ7dj5nzgziYtiXVWvZ3333Tjsr/HdtPkzJF9KQIS+e6V3BmLMBe68wevOpwaswfH9biI9JNRXr6IlI2ONTB0VqsuX4XCgdrGr9NWFB+a4JskV5/jySKubyoy5mfyUGAnVCVWxToAQZu7LZAGMUcAAE+pr1mLVE0aK5BdqK7rNi3oauMQGDFz1C5maVlGIV6xw5lMO1Y0syeSnnERqSOnpuL104OS33YXMKDXMPNXNPLNtDbjEYUvx6Iy4NnBck7mu9crNB3Mcg1l2yR6bPu5m8tNcNNRALadkjU+fwAFvxUum1m8QyOuJQlHwUNe1AIcFN5UdX6ws/ZIxo7qexX61XO5qucEamTziJtPDOBSooSU9QzU9I9RWdgMAHnutc0BJ8NrT8+chz4tiU3wDUuSgm8oeJOncJGiKbwAYvaqStfQsnMNezxfE80NPS53N10vN8Y2op/0WpHoi5sXh5y4bO3PRUD1zXIuLhZv8t2z/M+YSC2L8g9/WTh4F+ZrDuPy6Is2cMVhpHALEKdDb6OH8bRBAnoO81wN9rTyUohJWKgswc8oFdg4DXrWZmcjT1GE/iqwjzC0VWPa0grxNYVyxS4TycRuYKbYop6cAgL6Xn9dmVpqHQsiLgstNqk3Ns7EfVuCGe21gJh3gvFRYMJk2VaLZvgCKbtJpYdBk+pQM1XoO8l4GmNvAL1sXxGWbs2T+eRO4ExSIkSiuupkDgh8CyIlQrkAAS34UWctDKcIAtUW6SFAhgAll1LGZmSzS3DkIABKQXI4hr444Q1+4UvIWYcQSoVweQNH1PJIiGHAenRUGvTDUwwHeR5hThABxhLmaAKXXJSsvA8milwsHapEsepfmnl8Bo4yQVHbczRVfNZ4rHs8j+4PvvuELcnfLbgjg4ssHL7+EEAIIgHFm4PHsQ898AQDwEhmOPXKAi4Ub1etWr5Y7mnYINbFlcNGrTwAQQkAZBZQSRqjDLFtzM/kpe3zmlNk/uo+Phi652fzMG5WWXxUucdyFzCi1HN2ZTpznY+EmsbVui3lh+Dm5q3EnkjvfyVfFOrDPUwYlQYUIYeT1RHHAVwkRgozSN7xWhhhxgEM8INQpvXjyW9qRvh9KHY3b1Y0995YO9n1fP3r2J3xVWTsXDtYCQpxfR9b6qnMjhKAkeLFHDiKPElR622v56liXUFO+DIf9Nc7MQr/ZP/K82Fg9SDUzS3UzTw0z/9tMQl8NEEKIA95yHPBVQh4LALy6RENNu+QmUkPU+s9Jq/rPgmdD993+mzZ/BmL0y+/hl80FTiI9nL3/F58GAAxc/hsk8BIXCdYpqzuXSZ2NO8TGxTUM5LEEEMKAMQooI4xSl9mOQQragjM9f87sH90nVMfOugvZsf8X/OxqW+SuUBlfCSFAs6NwoPc63x5TJ6XMvDONEMThcr46UMZXEJe5k4PmOQDAb5TgoZZdcpMLA1w4VM+KdhJQRrHqiZJsdtLN5qeopqWEyvIuomlpsbZ2lXH+4mNcwFe5RK69bb68bznBAxHCnOorxx61DMtKGImyj1HXpoaesTPpEaIVk7+JCgKxjJyRmDzBe4O1WJSDDAAg+EL1gjdQwyhx5EjlckaJS2yziGUljGUljEUl6GjFOSMxdZw61zaZuMn0iDU4foCvinWpm1bex0VD9crKzgLECCPVE1G3ruH4qrIO4Limu5AZf2WV8s0CQoSCfMXGAF+2xsuFuwGEaNYY+A4DjFRITXdhwCkFN3WaAGLMGUP3h4Sq66Ji7W4BKeUZe2avhws8YpLSVFisuV5CnuoAH1tLmWsQ5uoy9sY1khuokTs+kneSJwhzdQiwKCIlFhFrbyDM1XgkPh0Ra64rF+vf4eUiK/Ju8ljeSR4XkPQTm5pvrZ6QEJfqZk5Z1fkOLhKoNc4OPmXPLvSL9VWruEgwDnlOBNyrNwe/esGWpkZCHGtk8ghAEPt2bfgEXx5ptkanj3MhXxXVzFzhqYNfFeIVKy6nMEjtDde5qew41c2cs5AdZy6xrJHpY+aF4efcTGGaj4UaxYbqNUJd5UpGGSHp/CT2e8t9N23+jD2VOAdepwqIVCUsdTRsd2YX+tX13XdZo9PHpda6zdbQ1BE9V5h10/lJks5NUt0scLFwg9hcu0GojnVxsXAjLWgL5sXR56HIK9bg+H6+pnwZHws3UcMsQIx/lexCEAEIsTOb7M/9bO8X5RWte/jqWKdxsv9Rqa1uM/LIwUVZ0rUv8Jhla8y0imJzfIMQr+wBAEDj/PDT7kJ23Dg7+IS8vGW3PZO44EwnzsnLmm/gosF6kslPK6u73slFg/WZH/zivy0tbix7OnmBryxrl9obtskr2vZAjL/9ZjZlfCzcELrrpi9IXU3X6ycu/LS0/9R33IXsmLqp5z4uEqwrHTj5HQAYCL7nxi8L8YoVpX0n/j3/+P6/RbLok5c375K6mnZCSfCQfHFO7m2/ha8pX5Z/5PkvAQDuv+I1cF2LGlZB3dR7H18RbTXODj7pLmTHxMbqNTjoq4ICJ72W6e+VACGEfG3FstBdu/9WaqvfwghxpJa6TXJ3624k8Aoj1HUT6eGlWFdHqIktAwBAoTrWxdeWLxPrqlZS0yoVnz/2DSRLPqW3/TZzcOIAUqRA5CPv/Fb2oef+AiJ0/xtJsIIQQkCIa0/O9ZUOnP6ub/ua3xPilT325FzfonkmAPkn9v8dXx5pQbLkgyLvkdrqt7np7DhbJEHHAQPMnpzrM84PPeMmM6NcJFArNtSsERqq1wAEMUnnJpFfjfl2b/q0NTZzEgBw7lXj4LCAJMkLZSngu2HTpxhlrju/MIgD3gouGqwnRS0lNtSsARBhcKXOUggR4BBPdSMLOU4UaipWYK8nSm3HQJS67JXda4vmv5w5NLYfDI0fMM5eepyLhOoYYOxa4kitSyN7xab4enchM8ZcYrsLmTGhrqoXcpzoTM+fMy8OP/dmvvdIrjhHNTOHFDkoKHIQCoLCCHGNM5d+IS9vuREHfVXgTaQ0YkUK0JKeIenchDU0cdh/6/Y/w6oSAS9bcFtjMyepZmQZIQ5fEW2FHCfYk7N9XDTYgDxKSO5uu5kL+r/lZvOzrzw+kkSPZ+NKma+ItokNNWshQlg7dPI7pKin5c7m65EoqICy13wuSVFLAwAeAQA8gmTJKzbVrle3rPmw1NawjZp2iRpG3plJXDAvDj/nWdv9XtzetMO7fd0fWAOjL4DfUiNKGaoNBtMmOCiGIDNm0mT+uRxN7FdRcLkI5XJCXZ0gV1NRcJkPhVZ6EQBFmj2NAZZdZhdlpP4ohGPbZajWFWn2jMn0mRqu5fezMNlpMm3Ch8JDJZY9d7kD5jIQQCICWHaYnSXA1Xww1Ishp+TchYPsZVJuAlxdZ8WxMKy80aTGXIGmT0Rw1U0qCnTotDjMAzFoMX1agp7aAs2eTpGZJyxmzAZQ2WYGqC1AMUqAqwVQ2UYV+Ttc5hSWPIEgAIwxQB0OCL46ruMzNjOTXhzsTrpTD1+J3AEAAAWpdY1C9x9jgBUEsCRAOUYBMSkgZorOPUWAW/LjyFoBSmUMvPazeBnY54kEbrvus8raZe/igv5qyL261Z45rll49vA/Q4z++FpinpEoeMSG6jVCZVn7a/0ObdIzS+mfRSSLXqm9YVvonpvfKS1rvgH71RiEEFLDLNgzyYvufHqIFEoJyHOS1Fq/ha8q64AYcXxltE3uarree8OGP7THZ0/pxy/8lC8L/dRJZq4aN38tgBBCpMpBLhKMQ4w45FXCZGz6ROGpQ191pubPIVUOqVtWfpArj7SYgxMHaFFLyb3ttyJFCnjWLX+vNTp9HLwZaTNe7OChlq05ifSwur77bs+m3nsLTx/6R+3I2R9hjxxSVne+E4d8VVQzsq/033kz4EL+KrGxZp3/1m3tfHm4mYtFmvlYqBF5PRH4MtJPao5v8G5d+SGimzmSyk24qey4k0iPeLevGVwKojh7NZnrbxMghFBsrFnjv3Xbn0ptdVugLPngK0lSxpibK84ufP2BewAA+37TY8IBbzlfHmnmIoE4DvqqkMDLzHFNohlZN5EZsSfnztKitvB22JEItRXdfFVZx2utIZEqh5DfWw4AGFgsNFat9N+x4w6lp+0WvjLaBhHCzHEtJ5kedkYXjpNMfooR6gh1lb1iY81aFPRV8bFwk9Rcu17dtvp33UR6WD996TGxseYBe3z25Fvh4/ibgCAiccNNgYbhs/pxU6el3II7b5uGgTBAkUohXsq5mVzKTQgSkivqxZa3Y0zMcSypPn6Ui0aakOopw8FAjVBT3aufu/CoMzd/AXvVMhwON4h18bVuLjeDVE8Uy7LfGp84ylznbYty/7UJHgghRJIc4IPhBqWmfmPlne/fJoQijZAXFGoaecYYwbIcZIS6RC8l7VRyQKlrut+cnTpObestYw6p65hYlP8W8b+UM7wGGKPEhRAiADEHIADUsTVGr3GDSShx5hYGkd9bQTL5GaRIfi4SjJOiluIigTjEmHfnFwagKKqMMkK0Xz+pCAAARKRUKtjXwEHBn7Fn9xm0MG5Tc0FAUoQwYljMmC+5mfMW1eeCQsXmqBjfo5P8sEX1hMoFO3VSGMWQkzjIe3koBrLO3IuMASBjtdai2hwAAGDIqxhykkbyA4TZnS6z8/PmyEMFN3UmxFduDfKxDSWSH5gy+r8RFCq3+PnYWpNo0xDCJ97KBArmuAbJ5Ge4SKCOucShhpmnhlUQ4hUrkCR4F6Obuat3Siyl1yCPEpLaG7bRkp4uPHP4n4TaihXM54ka54eeljoat2OvErFnkv3mwPh+JEt+rizUiCRBdSbnz5gXR5+DCHJ8vHKFUF+1UqivXiW1xjdbozPHcw89+xeMEMe/Z8vnxLqqXs/aZe9GAv/31L7yC4x9njKhqqwD+9Qy7eDp7y2Z/WqkqKXcRHqYOcT27lj3B0JteTfyeqJIEjzOXGqQ5IqzfFVZB/Z6ovZssp+aVtG5MLJXqCnvFmorui9Hv1/GUjs6czP5Kamzaae6qedeZy41qKzpuhMHfZXII4dIrjAHCL1mUoUaVoHqZp6vLGvP//yF/6P3XfoFyRZmmUMsJAmqeXFkrzM51yf3tt+irOq8g+QKs24qNyHFwk3mpdF9XNBXFfnwnd/iYqFGrMhB69LYi3J3602e9cvvMs4MPA4AeNUm8fXAl4cbg3ft/ms+GmwoPL7/b/W+gce5oK8y8I6d/xMiiLWj534ixKt6pLb6LVASvNqhMz+wp+bP+m7Y8Id8LNwktsQ3Yp8nSgvaAtWMLNXNvBCv7PFs7n0/eC2Cx7RLJFecQ4ocYM4i2UMNsyC2xDctdoxxMrxGfe0iuVO+PPTeG/8aIIiyP3zic3xt+XIhXrmCDOUmSaGUIPlSQmqt2wxFwePOJC5mj/T9yJlOXqCanlHWLHuXu5AdZ45rucnsKB8LNRWePPAV7PfGhOrWZVDgZf+tWz8PKCWQwz9+I4lvUmv9ZsAYkdobrqOWoxeeOvQ1viraLvo8Uf1k/yNiU+06LuirchLpIfPc+AHI8zJfHmlGXtHnzC1cMgfG90MEEV9V1i7UlC/jq2KdclfTTnsmcTH/6L4vUcMs+K7f8HGhrrJX3bLyg0gS//yVRrmQ40Qkiz7muIY1Nn2cOa6BPErYODf4pHbs7AOeVcvulDqbd/FloUZwBT09Fw7Uio3x9cy0ikj1hN35hUFS1JJiLNIMAICXo9EXbyxggDEqr2i7Gcqiz5mcPePbvfWzdLErjwOXK+uvA/PS6D55Zdc79ZMXHubCgRqkKhH96NkHSCY/7b1u7e9TTU8jSRy8kiHwoqm24EGqEmaWrdGSnr68oHRT2QkAGBOb6zY6ifQwM8w8cBydFIrztKgtSC11m6DAJ9gV5hzIcyJWlRAp6ZmXG5tDnhejH78nsCRzRZ71K+4WW+o205Ke/mXFEACSzo5bwxOHlNXL3lV4cv/f0aK2IHU0bQeUEe3o2QeU7rY9vhs3/xEX8P2NmyvMv+zeCWJj7UqhsqyDOo5pj8+cMIfGD0IOC2JDzVpnfuES8ioRdg2SVgBe8kx4WmyKF6Ife9+DXNBXpQ2NH8QBbzlfFmkqHTz1HWtg7MXAu3b/HxwOxMFvKcGDICcXaeYMAogPoOh6BLAIAeQAoC5j1BWhXE4AMbI08UKOJg8ggGWNFS65wM4DsOhJM+Sc+e9xru2TPBSjgAGWpFOPSNBTW4kbPgAARDYzE1Gu+oEsSbx4Oeach4KfAmKKUKnmoRBYjBtHIgXkVzoRGGO0nItPF2j6VIGmj3tRqEeEcqUKA8sMUBongJg5kjzoQ+HeEI5tY4C6DrMWAGAEQ87DQcFvMn1mjozdDwHkOCD4iizbxxijGGJAAbHSdPYZixozPhxeIzGl2gbmFQ3QFeStb+FXfrnE8pdsZswHUNmGBTL1CAacJ09Tx2Nc3bsVqNYjyKkKVOsn3Uv/8HrXHiKEAu/Y8Unv9es/5qZyk+bQxMHL3dmQQzwXDsZxyFcNOCyKDTVrsE8tAwBctTMVCrzCRQK1JFecT/3Hzz5MS1oK8pwkNsc3+q5f/zHkV8tx0FeFg74qpadtbfSj7/mI2Fi9BnCcSIvagj40ccgenz3pJNLDgFAXeeQg9qsxobZ8OVQkPyPEIYVSkpl2CYq8gv1qudQc3yDUVnQrqzvf4Vm3/GtG3+ATV/NDe83xY4R9uzd9OvbHH9qFvUoYB3yVUBA86rbVH3Zmkv3OfHpIaq3bom5d9SEo8p78o/u+5CTSwzRfSpiDEwf9t279vLyi9aaoTy0L3LrtSWcm2U+K2gKzHZ0R6iz6fQJGcoU5cgUyBF72GxQFj2/3pk9DjhO1Q333U93M+Xdv+rTYEt8kNsc3QAgRcN98Bw9EEHKRYJ26ufcDZZ++7xYu7K9BkuhlhNgQYx5wWKC6mbfHZ0/px849iLyeiLqp5z4AIcReT4SviS3jKiIt8oo2gTmuSTU9Q7KF2fC9Nx81zg0/bY3PnKJFfeHt3GRDgZewIgeRKof48kgLVxZqwEFfJQ54K5AkeiHPSZDDPNWMnD2TOO9Mzp+zpxPn3Uxhmhlm4Y2SHlws3Bi8a/ffCPGKFfbk/FnmLs0fEEAkSz4+Fm5CsujDAW+lWFe1EvLcobey2wkihJAi+XHYXyu11m+WWuKbYp/9QCtWlRCSRB+UBBUghAFlhDmuSQ0zT3LFeWtk6qjS2/6kM5U4R0p6+s2+K1cDX7boBZv54ROftQbHDyzaCkTbvNev+5gQr1yBPHKQC/mrxYbqVaF7b/mgvKx5F/Z5yqhu5sz+sX322PQJZyZ5kRhmHkmSD3uVCF8RacFeTxRACElRS1HNzAIEMQ54K/jySIvv+vWfUFa03Vw6eOq7XND3TZIvzv+mJIxvFr4QF11zvf+O1KwzWdMsdTgWswydFJPT9jhggNU0Sx2lPMloBZLLJp058jaZptvTs2egJHn5aKSZ6nrWmU/0A0qJdvL0D71bN31SqK1exSyrKHq95UTTUrRYSlqj4wfeznThX4vgwbISVFu7tqjty9/paWi9Hiz2WDJSKsxjQVCLF04/YEyNH1RbOm8VorF2bWTgGbW169ZYvGFL/vSxb2JR+ldivXUvC7GMPHiZF8lvAqRQmgcIIogRtsemjzPXtdx0bhL7vDGSyk7w8coevjLWYU/MnrGGJ96yCUpESoWE1RrCXD1hjT182UjQy0W6GaMuBBCn7KmnMeQ9UbHuVgSxBAHiEeBEyqiNIafI2NcgIqUcQADmjdGferC/CQBKKCMWAIwhiASXuRplxEKQUwgjlkX1ecaYq/KhLgQ5yXQz57LO/CEEOdmD/c0qF+pK2ZNPAXB1GcO1gjmuTQqlhDUydSTzvZ9/0s0WZqS2hm2kpKdLh/ru9+/Z/BkkCd6rtfVCCJHUXr8VQACMs4NPIVUJedYvvwv71BjkOVHpbb/NvDi6Vx+ZOor9arlv5/qP85XRNuPiyF4kCAoOeMuN88PPWMNTRwBGnGfDivdJTTXrmO3ozmyyX4hX9EgdDdv4imgbhBApqzrfUTp4+vsAgFd5HkGEkGfdsuU47K/Rjp3/iZvKTfhv3von2KtEtePnHxTqq1ZBjHmoiH5qORrywTJAKOGrY11SW/1WgBE2L4w8RzKFabmreRdS5TAfCzeRbGGGuVecMCAAALrJzGj+sRf/muRLCS7oq/JsWHE31YwsoICyN0LwmFaRaEaGlLS03jfwuDOXGsI+NSp3198kdzVfz0WDdZDDAmCM2eMzp6Asej3ru++CAi9DiDBggDrTiQvO7MIl5jgGLWopsbVus9hQvVqoLV8O3gDBw4X8VaG7b/pLsb5qtXbs/IPIIwd9O9d/TKiOddmTc33UdItCvGIFVxZuABBAa2jiIMCY56uiHSRTmEGy5KOakdWOnvuxeWHkWXtq/rwQr1gR/YP33P96HXeXW1zd7PBs5rs//yRzHF3qaNrhprJj+rHzD3p3rf8ElIRrMr7FIX9V4Lbt/51oRtbqH32eiwbrSUFLpv/jpx9GsuTHQV8lFHmPuRTlCSCAQl1ljxCv7HGmE+eNvoHHS/uO/7vUXr9N3br6d6DAy9irRBihLtWMTOrhvV/0bl/ze/5btv6Ju5AZhRAevdYFmdBYvZZR6poXR5+HAid5FonBKijyitzbdpt5cex5/czAL7BHCni3rvodobZ8uTk0eRhQRnDYX22eH37OGl0kZTxrl79HaqvbAiilznTyAl8eaRFb6zYLtRXdEEGs9LTfUtp34t8BABd/9SZjAUqiDxBiA4x5hDHPTLMoxCt7kCR6jQtDz4gt8U3qltW/g2Tpi5f9pCBCiCuPtPhv2fFnfFmo0bw0uo8Uigko8DIt6VmSzc8gjxxk7su7FBhgDrHM/tHnSwdOfFusq+qlxdKCu5AZXZI8vEqK8Uq4mfy0PTp1lIsE4rSkp9xMbgpJohcpkh95PVH/rTu+YA2Mvaj0do4CAAD2e8svkynenRt4HA7EpZb6TWb/yPP5n+/9SwCABgAA1DALgdt2nvFsWnkfLemZUl//Y8yyS8y2dac82urdtelTOOivEmornnSTmRHmujaECKGAt8K7dc3Nck/HbflHn/siAGD/5bEiSfRCBJHRd+kxN5UdRbLktcdmTkBZ8r+czGKOa+nHz/1EWdl1h2dt93uduWS/eX74GQAAULeu/l2AAFI3r/oQ8sghpbvtxyRfTEBJ8nl3bljpWdf9XiSKXmtk8ohxpv9RyGMRcpxYeObQ17xbV3/YnU8NXt5sQYwwFwrUMMYoyRfnX/M7kzEGl/wI1K2rf9eZnj/rpnITQm1lLxcN1kGek5Es+SGE8L9UAMRbBAgAqsD1dzPA3DxNHfOiwHIMOY9Bi2MucAom02dcljvvMCttM3PBYmaCAle7HJjAFq/f8SHnzJ9W4ob3e1GoWwWBLgAAm3PH7zdYcTSG694T59r+UIWBTg7y/+Iyp4Qh77OYMb9Aph5WkK81iMo2AwCACJXKV47RYXbGZlYSASwQ4JQoYw4PhQAAjMrQUxfDNe9wmJXK0/TxGK69I0Vnn3KZUyTAKZRo7rzDrIzNrJQNzITDrDQFi1JKBgCjgFoClGNeHOzWWOFSgaZPuMy5oo9cGa65w4tCK13qlEQgx2bdke+6zMnrrDAEAABRVr2nyApDCGJRwnLFIlH2emCMlvQMgBCVXjjx78Xnj32DucRGoqDIKztu921f83vUskp8WbgRKVIALUqnr0rwII8cQl5PxE2kR6zRqWPMIZa6pfcD3u1rPoK8SgQwRpGqhELv2f1loa6yl1m2Zg5MHHCm58+7qdwElESVLw+3LM47RsaeSVwAGPFCvLIH8ZykHTrzA2to8jApagtCbUW3b9f6T2CvJ4pEwSM21a4Pl0daFj3dpK+9GYN+HPLXqBt77uXCgVprbOakPZ04z0VDDVJTzTrfTVs+4ybTo+rm3vdTwyoYZwefFGpiy5QVrTcX9x77N+3g6e+56eyEf8/Wz4nNtevFltoNgL4U3sKWCGAGMebT33n04wCA7736Ai76DQKMeL4i2sZMuyh3Nu7gIoG4NTJ1hJl26fI8y34NiRYXDdWH7tnzVamjcTst6Wl7fPaUM7cwwFxiKas676CFUrL4wslv2lPz5+SOhu3KyvbbivuOf8MenTkRuGP7mwSBvQAAIABJREFUF5DXE7GGJg/Ly5p2OXOpS4AxxtdWrPDWV69St6z8oDU8dVQ7fv4nXND32K8jWb8WIEXyiXWVvf6bt26VWus2C9WxTqRIwZd7v4DLYsFFMHlF2x5AKSH50rxxfvhZ49zgU9jr2bvUaXlNYI5rUtMqkoK2kP7Wwx915lODACwWY3w3bPgkRIjDPk8Z8qsxLhyoWZQqgbdk/4S9nrBnTddOuaftZqmj8TrkkUPMcU0kid5XekBR4tpuJjeFZMkv1JYvF+IVK9TNKz/gJtMj5sD4i+rGFYfs8dnTznx68K0i5JAoKOV/+ruVzHZ0e3LujDU2e0rubNiubl31IaGmfBmgjAIEsfe61R/GAV8V8kgBe2LujH7y4sNuIj3CCHX48nCz2BLfxGxXd2aTl6jt6Fx5tJWLBuvNiyN7zfPDzzoL2THsV2O+nes+JtSUL4cc5rnycLP/1uv+TKgpX5598Nk/BwAMvhWf6a1CKedmHv9O6h8ABNCxqGkZVLNMahCXOZQAQgkjDACmqNjHGGC5lDN/9aP++qCOY0KEnjMHh/cCxtjLrAbmsVf9iptKj/Bl0Vai6Sl7YvK4NTl1nFm29nauTd4UwYM4XhQrqnpju9/5camqdq2TS4/amYUhohUT5tzMac7rqwQMMKW+eQdWfRXW3NQJsbxqhZWcO2clZvukiuoeqbyyG67a+FEkSv9CLfM3opeDCCHECR4sSj4sq2VYlHzUsTVXK8y7i0lbb7iDiFm2bpwdfBJynMjFwk32xOxpLuSvoZZTQn61DHKcYPQNPGFeGnmeGtZb9rlcZmV5KIYdYC7IWK3FlJMBAAABJEAIseVqc5RRF0PesWhpmidigDJiJO2xvYS5msucEoSQk5FaiyDv5ZEQwIj3MsAoA4wwxggEEAHAAAXEgoszPadgf7NJtBkIIJYXO4gCDrUyPj7SsyRfeMsfVkapQ3UzjzxyEEqCqm5YcTfJFufM/rEXfDds/EMAIYKy5AcQYvAyA+wrgRpWkWQKM3xVWTug1HUm5/tQa90WyGGBEeryFdE2eXnLjTjgrWCuawPKiNzZtBNwmHemE+eB41pCXWWvZ0P33Xws3GRNzJ7Rj53/CSloC1JLfKObyk0408kLXHm4ha+Itorxqh5wBYIHAABIUU9pB/t+AAglUkfjDrGpZr09OXcGcpwgL2vaRUpGhhpmgYsE4tgjBwtPHfqaUFe5Uu5p22MPjB8yzlz6hZPMjjHb1hihDiDEpaZVdBOZkV89E1yU2nCYNwfHD0IOc1Jr3Rbk9US0Y+d+ItRWdAMI4KKJ4zXeE5c4obt2pwADjAv7qtWNK1YH371rK3Nc2xqZPFI6cPq7VNOzzHZ0wBiDouARaiu6fbs3fZqZVtEenz0t1FeudBdy4yRVmldWd74TCrwMEOKU3vbbIEJPX4vpG5JFr3/Plo/Ive23Mcc1lZ62myHPSUiR/faSpMSamDsj1letxEFfhX66/zF7fPYUsx1dqK3o9mzovluoLu/ST158WDt05gckX5pnLnEAZYSZ9uuSzcwlFjWtImCMYq8nLLbEb3OTmVFrITMmtdVvhRBCpMhX3WAiUZB9N268D3mkYO7BZ/8ciryHFLQFJIteZU3XnYAyYk/O9TkziQs2Py+pG3vuFRtr1nIhfw3yKmFmOZqTSA3TgpbkyiMtAABg9A08rk3MnQEQQmduYQApUgAAAPjKsnbvznUfW1pMXZOUktmO7qZyk1ws3AQgAPbk3BlREf1Y4GVAqMOXBeul9vqtXNBXxSh1AaGu1FK3CXCIdxOZYUaIzZdHmj3ru+/mq8o6nER6SDuy2M0iNtSsIbninJ7MjHCRQFyor1olNlavhghdevn9hwhhyGGBGmbe6h/ZiwO+SqGheg1S5KBxbuAJN5kZpYZV8GzovRcghKXm+I+paZfU7eu2qBtXfkCojnVZo1NH7en5s+5CZuyyh41354aPi/XVa14xbzHAKBGbatcjkfcAjDmqGTnAAIM8L7+yQ+5KoIZZVFZ2HRcba9dbQxMHuGioAQqCB4qiChig9vjMSamreZfiUUL2+PQJ5FXLIM9JzkzinJvOTTmTc6eRJHoXvQk4CSwRPAAAoB0/+4DYWLOG5ItzYlN8A19Z1q4f63uA2Y6hn7r4sNzTcZvS03EbKWopgBAGjmsx1zWpbuYAobbU3rQdCfzxy52FSBK8UBJ9YnN8A7NszZlL9gt1VauwRw6+3BGBMcaQIp3QjvY9IHc27TQvDD+L/Wo5X1vRDRDCbjo3gQO+Srmn41axKb5+KcmPUcMsAEKJcW7gCWto4iAO+WuY7ejuQnpUXtayW17etqfw9P6vXE7xQ5Lk89+24y/4irI2N5Ud925bu9ccGHtxiewxl2KORXXrmo3W+MwJ88LQM0hVQnxVeRdfUdbhprJjwCU21c3c29VO/5+BPE0fL7Ls2QJJn0CQkwEAMEeSh+bI2A9eHkUOAAAQIgwBxK9Mw1y6NpMI4i9L0FPrgd7mcq7uPeU4/u4kmXq4QFNHKXD1MK7YWaDpEwCAvRzg/TwQg0EU2woAgJd9cFTk78SQkwlzjcVzQhjD8SgPhaAH+TsQQAKGWHGBqznAKeRp6pgDrJTFjAQCiNNZcTjhTjxYYrnzr7xnCGJ+cbSX/3/xXwGIUQYYYYC6DDD3taRVKvJ32MxMKNDXPE/HfuhH0XUpMv0Lm1kZHooBCBCvouAyBJCIAa96UagHAPDia117RhlTulsHAGNMiFf2QoQ5qPCyd8vKD4pNtesKTx78KvLIweC7dv0VFHj55cb4rwcu5K+GCGKqGVkoCIp3W/eH1Y099zgzyYtG3+CTnnXL34MUyS8va9pFClrSzeSnocgrUmfTTqRIfloy0vrp/ses4cnD1LAKyorWm9T13Xdx0VCDPTnXx4X8NcKOtd1IFn0AY55R6rq54tyiBFZUkaqE/Tdu+jTksIBV5e9JSX9DBIhYX70KAACzP37q8/rpS4/RkpbiIsE6342bPqWs6boTQggZpQQLvOzZsOJ95oXhZwrPHP4Ha2TqGCOUQAifoZqZ9d248VPKyo7bIYcFSKhrDk0e1g6c/p66beWHhPqqVa8lk4UYc5elcsx2dHNg/EBp/8lvk3R+St3cex8p6Wnr0viLSm/7rYxSl1lvzjNSbKxeK7XWb7EGJw7mHt77RZIvJbhosN53/fpPOBNzffqpi4+ggLfCt3PdH0jt9dvM/tF9VDOy3l3rP4FD/mpraPKQm85N5h7d9yVraPIwoJTgkL9aWdV5h9LTdovU0Xid2Fy7rlhZ1o5V5X+90ftwNUAIIZQEVWqt3xz5nXd8QGyoWoUUOUCKWooUtTQplJJL98RxJufOAoQwtxhE8QGAENJP9T9KMvlpqbNpp7K64w5lVccdZv/YPnlZ879aQ5OHqXn1vQ7VjBxJ5SbFhuo1Qk15lzOfGhBqK7q9O9Z+lFl2KfXNn33Yf/OWP1F6O25DHikI3oDc/bWAJNEjL2+5MfKROz/AV8c6aUlP68fOPegs5MallvhGpbftVgB+uQxmjFF7dPp45vuPfQp5lJBQV9mjbuq5j68q6+CrY118VVmHunHFvU4iPWxeHH1ebKj+oTOT7P91fWyQXy2DkqBS09YYoa7c3XJj4I7tfwEIdQvPHPknZXnLbq4i0iq11m2hlq05c6lLjFJXqKvslToadwAAmHlxZK92/MJDJJWbEOoqerzb1/6+2Fizxs0V5wFEWFmz7F3IIweXOrMEN1ecgwhhKAoeKPKKsqrzDoAxz5eHP+fMp/9TDOevBNOgOgDghcs/YwyxICOF4yEPAACOzSzboHo2+fYQOy/Ha+1ZSLG0AAD4j7d5OK/CGyZ4EMeL3q6eu4Lrtn6K9/qrCudO/QAgiJjjGHK8YQsZGXharm3YrI8NPidVVPdKlTWrIICg1N/3kFwdX1e6dO5nxDIL+b4T3w2u2vBRO50cgBA++pbGJSOEeNVf5WvsWq1U1K2XI5XdWPaEjYXZPtEfbnANLaXPjR8WA5GfWbnU6Bs59tI4E0gUvi82xzfylWUdUOBlaloFCADQj/Y94CTSQ8x9dSLXrwODlCYS1uhDLrMLQb5iMwd5tURyl2xqJDHkFA6JAQAAIMzRVS50iPLUVrlQZ7nU+C6DFMdzTuJI3kkew4CTImLNjRVS812UERsCiCCAyIClSQHJMQ7yqkPNVN5dOBniK7fFlWUfM0hxNGGO/pQyYqlcqKNMrLvVpKWplDX5RIlkL16Lfv0NYbF+Q6X2huuisXCTcXH0eSgKqveG9Z8UG2vWAQjRNZpXM5ItzFjDE4eZS21lZcftQkPNWjedn3TmU4NYkQJia90WyHOiPTpzvHSk70dMtwpIEX04GqwXaiu6/Xfs+Aski157Yq4v97O9X6SmVRAba9aqW2vX66cuPmI8c/ifkE+N+as2dUCBk+QVLTdBBB99lVkqpRRyeJ81PHUEgKWkMFUOyita95CiniruO/EfSJZ8nvXL78J+NUZ1M8dc19KOnfsxXxltLTx16B/005d+fk3PFQQQQIguLzLFhuo1YlPNWrN/7AUuGqqHAq8wRil6g/5Q1LAK2KuEfTds+pQ1MnWsuPfYvzmJ9DAzbe1KHjqQw4OQ58TQ+/Z8BXk90dK+49+wxmdPAUIcHUKsHzv/oLq59wNiU+16LhKIAwCu6gcgdzbtVLes/BDJFeedmcVqIXOJrZ/qf0Q73PdDezpxgdmuQUt62uwf3YfD/hq5o3G7EK/sAQhiwBh1ZpIXubC/NviuXV8CCGIAIIQ8J0LxKglYjDHAGFV6228V4pW9xtnBJ5AkqnJv+21CvKLnpd+5CoTa8m5lZftthWeO/LM1Nn0CeeRA+L5b/1lqq99S3Hv034p7j/0bc11TWdl5h++GDZ90M4WZwuP7/5Y5rum9fv3HxfqqVVzIX41qK7qZZZdyDz37P0qH++4HDDDmuCZfVdbhprLjzlTinNhQs1pe1rxL6mzaCQD48dXGBsCiybk9OnWMamZW7m6+UWxr2EaL+oI1ML4f8oIstddthaKoOjOJC6UDp79Di3oaSoKXiwbiQk1Ft3/Pls8hWfQ5ycxo4bEXvkwKpYRQV7VS3bDibvPCyN7i88f+DQq8x79706cgQlhe0bqndOTsj8DL0gYZIQ6zHY2U9BQXDsS5snAjyRZmrcHx/Vw01BB89+4v06KWMi+NPC91NO1QejvvgDwnAYQQKZQW9NP9j5j9w3ut0enjgFKCvZ4ysTm+Selu3WP0DTwBruBL5C5kRu3JuTMvpXR55BBS5AC8xjhye2zqhLKy853Bu2/5WuHJ/X9nT831Kb2dt1PdyFHbMdxkesTNjO5DHiUERUe1+kf2utncNDXtIvapZdbQ+AGhbnHD9CvjSqSHi88f/dfAO2/4EqCULJKBkt8anTrKl0dbYW/n7dbg2H6+PNKCg/4q/cT5h5z5hQEkiX57NnFRXta6G8qSDwBgAgAAlEQvEgUPgBDyVbFOsbF2HcCIg6KgwkXS/CVQ3SwIlWVfF2oqlvtuvu7z1qWRfdbwxCE3mR6WWhu22mPTJ6As+Uk6N+EupEfddH7KGho/AABgQkP1GmXt8vcyw8qDJXNualole3L2lHHm0mMvLY4wwlxZuFFoqFnLV5d3SR1NO6hu5Oyx6ePObOIiKeopHPBVSs3xjXrfpV/wVbEOsbV+qz0ydcTJ5WeRKKpSW8M2kslNufnib7T6/Z8JnRaHF8j0Y4wxhzBXt4A+G8FVuy2mzyjIO8RDMSwAKYYgEqpwQwBDTpWQ8pBJ9VkIIcKAkykgFmXUXSKEhiGEI9BFXC3f9gkZeeoII1qJ5s7zQAypKLgcQXwgiqv9AAAAIeQYYC4AAC6Q6ccqufp7IrjyRgTRzwEALICiaytxwz0QIt5k2qTLiEmAqxHmFCkjlh9HnnOAlWKAEZfZOYQ4pZpr/siUO/ivHuR3RSjHOMgHEUBcDddSZTJ9BkPuF4S5JgCAMUBdP46um3NHf+AytyRDvgECeMVNoMOcHId4r8WMeQX6W30o2JMkkw8hiAUV+usUpDbYzM7YzEyYTPP7ULgXQfQqQuxXgBEHEcJSW91mz4buu/nqWBczrHz2gac+Ty275FnffRfACEOM+KuFQFzGIpkLIbUcDWLEudnCdOZHT3wOSaLq273pj+DLUhmRRw5BUfBAyy4Bxqh+qv8RZz41zIX81b4bNv43oTrWhfxqGTNtjeSL83xVWTvksMQc13TmUpesoeFD+qn+R92FzKgQr+z1bl/zEamtfitUJL9v14ZPkkxhBmL879fqh4dkyRu6a/dOe2zmeOng6e8xy9GhJHjFxpq1fEWkxZlJXnTmFgbcZGaEmlbJTeUmrIHx/VQ3sowyhiTBI8Qrmr3bVn9YrK9aaY9OH8d+NWYNTR7OP3nwK0K8oocLB2ohQvg1ve0QxAAhjll2qfD04X8sPnfk60iWfL4bNvyhm85PlV48+S3/zVv/GAAAAAP0TRtLQ4gAYMxN56eoaZXUjT33qpt77kOqEranEuc9G3vuscdmTjJCHAAhhJKoik2165lhFRafByxSw8xzkUCd0tN2i3Fh5Lnic0e/bo1MHdVPXPipb9eGT8pdTdd7t6z8oDU0cQgi+NBbKZXhK6Nt3p3r/kBZ2XE7QAjb4zOnjNOXHjMvju6Ve9pu9u3e9EcQIZz/+Qv/G0CIpLa6LWJjzVpqWIXCkwf+Xjt89ofMdozSiye/5b9p82fV69Z8WOltv1VsrF6rHTzzPb4s9P9d1c9psegoII8cUP4ve+8dJddxXolXePl17p6enpxzQB7kRIBIzGJQpIIpWbJsK1n6SU4reWWtbHntXUu2ZEtWTqQSJYoJBAGCIHLGYIDJOfSEns79clX9/ugGTVIIQ5rWer2+5/TBnEG/ejXvdb/66vu+e29X+wPIpYTE+op1xpXh5/XLg89BUVDz6xIA+c7vW1Ojb3IqyEVCDb77d35QXdf5NgAAy5249GhehkF0yx2Nu6W22tuuWVYzSgmzHQPmTTIgX1LUxBX5q/mSouZr+w2a02L29PxVvizcLlSVrhDKituUVa33ZF86/x0u4P0OSaRn3ug+FnKcWNDQMQClBBDipJ899r9oVlt0bV39CA75Kl9+r5CnWpJ4agp73RFzeOKkOTx1BkqCS13b8aBQEengQr5qRqnjJNIz2KOGufb62wFjzFlMTlgjU6e1C31PWiNTZ7DPVaJuXPEudW3Hg1ASPcqypn00pyewR/00Sedib/T6/3sAYYhCJXzl6h3eZbVt8qpAMV9qaDQ3O2EO95/LHcMcvPTvRc9CgqBAQVAgRjzAmAf5zyaEGPOAMgIw4gBjtOBUaDP6qn8dxhhBAq8AAADVXr/D7RvF60rwQIw5V2PbvsCG7Z/UJ0ePZVPJSWNm4oy7Y/W7rFRi0kknp4RgUZM1P3OZc3tLrfjCIJaVgFxZvdGMzV61E4sjSk3DbVh1F9vx2HC658KP3e0r36FPjZ0AAFyXS/16ATHmPbXtd3qbVrwNUOow4piOnltwDC2OeEE1FqM9di4dxYor7KnruI93eX9sZ39TJJIvDtW5tqx+BPK8pJ2/8iuzf/RIocUZFm6uYVwdeh5cHT6YPyLvQQFAnq8LMcIAQPhmOXpQRmwI4VEEMG+Q3JSEXeUW1Rdk7K6CAHECkoIIIo4y6uRIos+ieizjLHZzUPAR5uR0kh4lzDERRBd0mp1kjNoQIl7FviaHWSmbGbEpve/bOZLsI8zOLVpTh0ySm47b0y8YJDNhUn1BQPKsynkbIUC8SbVZh1lJixqxN/3DiiCGoqBADvPOYnLC7Bt9EQAAaDq3YE/NXRZqylazQpBzs2EYpcQan7kAZcnj3rzyPYAymjl06p9pTl8U6yvW8VUly5HAyySVnUv+4vnPad0D+68dCxGE2OuOuLat+YB376ZPYJ87Iq9ovlMoL26DHBbN4cmTzCaG3Nm4V6yt6MIBbzmglArVpSuRSwmCaxbMr5xPPrh4OcDw7NpwUWqq2WJcGTooVEQ6hOrSldZY9Lw1Fr2grM4vxObgxAlGiINU2fc6koYQAAABh0WuyF/lvWvbu2k6O+e9Z/ufYbcaAghiiBAHeV5e4ngAAACMvtEXaU6PG/1jR+2Z+au30nVhDrHFuoorJKstAgSRNTF7SWqtvQ0wRkk8PWUMTZzgy8Kt6oZl7xSqS1eCWyR4sFsNhj74wCPY647Y0YV+ktFies/QAXNg4rg1Ge1mDrG5oLdc2bD8HUJ16UqhoqQTKaJX7x58NvXUkS85C4lRqhspQCkpOI0JSJX9XDhYp6xqvbfg6nDjzzLGPBR4BWIs2DPzvebQxEko8DJJpqdtHgtiddkqalrXtbO9BiRLnuC77/oQoIza49GLQlXpcnVN+wNSc80WktXi2oW+J6hpZT23r/8D9851Hzb7x44mfnbgz+zZ2BBEEFqTs5eFqtIVzHYMZVXL3erajofkzsbd2oW+J+y5xRGIMabZXAx7XJHs8Ys/cBaTE559mz+prl/2DuxSDiylMmhPzl4CCGHP3o0fhwKvZI+c+zZJpKeFmtJVckPVeiiJbqYZqdSTR75UoCQCAAp6bB61yLVh+Ts8d2z5NHapQamj4Xa+tKgFSaLLHJ0+SzUjJTXXbBPrKrq4SLCB2o4hVJYsw15XBLxCLJg5xKaGmRUqS1aQZDpqXB0+6CwmxuVlzXfy4WBd7nT3T8y+kcOMUiI11W5xbVr1Xshzst4zsN8anznPHMcUyks63Vu7PoD9nrI8fcxXySxby5269ONXCaBCCCHHicbA2NG8hgQvAw4L6rKmfQAjDsmSFywBTjw1JZSGv6BuWfN+ub1hl3Fl6EDy8ef+G0mkpuTlLXdxkaJGvjTcAgVBdeYXh6hpZkkqOyt3Nu+DCHLYn+98fS0ljBHiIJ5/Li1LXvdt6z/MLEuzZhZ6gW3r2OeKWKNTZwCEyBqbPp/76TOfYZajCbUVa0kqE5Wa67bzxcF6JApuUFhjUUFrwJldGHDmYoPm2NQZoapspdzRtBfktc1epY1jzcz3ya31n/fcsf2Psd9XzhPqUE1P6Jf6nsJBfxXHcSJS8t8jQAEFNeWrxaaarfKy5jusiehFc3Lskj09ewUKvCK1N+3OPH/8H5xEavpVF49Qx7g88KwxOHaUC/qq7OhCH0QI8+WRDs+elk9CQVCceHKSCwdqmWXruaPnvuPEU1MkkZrkikONUmvdjtyJCz8g8dTUUu7V/40gwM7maLpXgGLIZmZcQko5Alj0oqJ1xaj6IZPpURkqFQbTZyhzNBV5W0ymRwEAPxOhXFzJNf0hBoKnjKs7k6SxkwbLTXKAFySkVORoup8DgldEfLkL+Dpl6KrOkVQvAAAgADkC7GyKxE77cfEWg+XGHWZnEMBiLdfxp14UWgsBRAEcuQ0BLE07w99O0dhpixnzAhSLbGAlAQAgSxPdbuRflqXJyyKUIgggEULIlXMN72eAEQw4taDLs4ghp3hRqKvQRTTO8rU122J6lAKiy8hVzQHejQG+bpEiRRdOelBwdY6mei2mzwIQQHV85+ccYKcw4NwMMKKzzIgL+tpSNHYaA04pxlUPKsh9ymTaNHlNRxQAAJB4aopR6uCAt8J3z/Y/y53sfsyemrsir2i+C/KcKLXUbIOioALdzLxuN0Wek2hOT2ine36mblj+Tu+dWz7NFfmrgUNsJ5mZhQIvAYdYqScOf4EkUtPy8uY7+PLidtemfJLBiSXH9b6Rw/bk3GXsc5fInY17IIcFY3jqkHax70lzcOIEiacm+bJwq9rV8ZBQW76GC/qqmENsiBmFkuj27N74UWti9hIA4MRS5swFvBVSa+327NEL33dtWfU7zCGmMxsbEKpKlmePXfjBtYIDSWaidnShn+pmGvvcJWJj1Qbv3k31wXffvYwrKWoiyUw0c/DUP3FF/hrsc0f07sFnpdba7XJb3Q7sVosAQhjcSNsOQgghRM58fDT7wumvI0X2++677c/tqfkr2tkrj8vt9beLjVWbAAD5TxB5YwkeqpspZhNTXta4V6guWcH5vWXWzHyvdebK4ySVjZoD48dpNhfzvXXPX1ljMxe1s1ceR5Lo8d6x5VNIkb1Ilf3eO7Z+Ov+8nj5r9AwdgAhhoSzcJtZXbqC6kaGmpWFV9rtv6/qg0TtyGFwnhny9gBhhsb5yXeDhuz4n1lesNa6OvJB96fx3jb7RFxkhtrKi+S51/bK3m/1jL2VeOPN17PeUee/c8mmppXZbIS7+rHa652cAISxUlixXutrvl1c03wEx4szx6EUkix7Pno0f58uL26X6yr80R6bO3KirgZmWRpKZKIAQKStb7uF8nrLcye5HAQTQtWnlu6HIq3xZuBUAACHPy0uhRl/3b0YICjVlq/0P7vq81Fa3EwAASCo7KzZUrpeXN+3jAt4KKAoKoJTQVHbOHJk8le/ICtSKDZXrxbryLq7IX+0spiaF6tKVSOBlRqiTfen895zZ2ID3nu1/ChyiOsnMLGCMeu/Y/P8J1aWrkj9//r9BCK+8kf3QtUwW5DAPKCV6z9ABqbFqo/fe2/5caqndBiglNKPFGCE2kkV39qXz382duPQjeXnzHUJZuN2zb9MnuKCvimpG0hwYP5472f0TwBiVWuu2I7nCY8/MX9Uu9D1p9I4etmcW+rBbCYkttdukhsoNfEWkAzAAgENMgBGvrut8mzU2cx5i9E9LEYr/bQAhiFpWq5uWb/HsiVQKtY7FTEnFbkps4g1y4fplahchgAAALr7Z51aWtd/r2b65lTnUYo6lA8oIlCUvHwjUUNPMIEXxU01PUl1LQJ6XAWP0ZWt7QizmOCb2ekuRKLipbiSTTz/3OQDAb0Vc/XUleMSiSJu/a/NHGaWEmmZWGxs6jGQlAAAAUkXNBpLNzFHLyghi4jjdAAAgAElEQVTBoiZjZvIsxFiwYvN9EGNBrqjeoI0MHqK2pWFKHbmssit+4vDfqo2td7qaO+6DCH1jKRSNmwFizHnrOu4NdG74kLE4e6VAx5qRi8pWENNIycXlKwFj1M6lo1gQ3VZ8vs9d1bQL8cJj1LZeFdRin7uELytuxV5XhDm2aU/OdnM+jyi11XcgRfYBABi1LA1xnMQAAMww01JTjcEoJVJHkw+7lCCURDf2uR8nycyb0jpWEDI2C68YAABgyCcGyKk/AQWqVeF9DACwUHi9CpRRBwAwC0B+bTRJ7pVz++krfk4DAM688liL6otgiYv/vwUQYx4pko+ksnPZoxe+Tw0zCzlOSPz8wJ+7t3d98BoX/VafF4gQltvqboMYc7mXzn/PSWZm5JaabWJX+/2vDMCchcSoMTh+/JXHFpJ1UexxfY0Leitcm1e9F4qCmn3h9Df0K8PP80WBWnV959uw11VsLyTGncXkRJ7bqwT4cLAOLGFxJplcDGLEM4da2WMXvs9ePPtNvjhYr6xqvTfz3Imv6FeHD/GRYD1WlQAfCTZCDvNLrkBBCK4FENitFmGPGuYjoYbskXPfEZuqN/EloSYovL4Ejzk4fvxawmmpxzDDzFDNSArl4fbQBx/4XmGjNkEWU1N2NDZgz8z3QowFoby4HWL0y5stKHxpuIUvDbcwxzGd+fiIdu7qL40rwwevCddCjuOVlS1rvXdv+xPsVkPm0MTJxZ88+8fmyNTpm9ElIYInzKGJEySTnQfOjS0MIY9FJEseJ5YYyx27+H3GGGUOsZI/O/DfPHs3fUKoKl3BDOs3RHRfPh4jrKzp2Ct3Nu6hhplx71r/h7CQ1c+d6fm5PbPQS9K5mLq24yHPnk2fMEemTice2/+ZvNDuy5/J4cILYLd6AvKcpKxuu7+gg/AtdV3nFux1RczhyVNifcV6eUXzXRAjTqyr6BIbqzZBCJ+8VQAiNlZtYoQ6uTM9P3diyXGxrmKta/uaD0Cekwq0SOYkMzNG3+jhVx5XGHceKdK3kUcNe/dt/qQoVijZF89+S7/Y/xT2e0rVtR1v5UK+Sieenja6B/dLLbXbkSR6+DzV7OUEz7XaHTXMtHa6+zEc9FW5b1v/+xAj7ppIJUAQiVXlK7hwoDZz5Mw3AaWEC3gr5JWt9wDbMQEDjGZyC/qVwQN8cahBYJRmnj/+FWch/qquTchhEfKcTOLJCeNy/zNSc+02ZU3Hg8blgWf58kjHNbrbUmBHF/pTTxz6PBfyV0lNNVvl5c132dNzPYwy6szGBqhhZszBsWNQEBRnbmEA5UUug3w4VM8cx8w8f/wrNKf/BpWO2rYJef6nTjw16Vq//J1yR8Mua2z6vDk8ecocmTqjLG+5U7vQ+yuAEFY3rXofF/RV0gJlyxyaOEEN82V9DSiKKpIlL19W3Ao4TuBC/mqSyS0wQuwb0dGM/pEX7ehCH19ZulxqrN7MBbzlqMa9BmLMQ4Q4gDHPbFtnxLGw112CFNmXOXTya+bA2EtIkbxiffUGwGExe+T0v9hTs692TWMAMMcxGCE2VuWANTZ9lupGmvN5SgGlxJqMdttTs93m6NQZmtPiSFWDXMhXJbXU3cZFQg1IFN3a+Su/zJ64+J/WIh2A/PqvIPdMBFe9tZD4YCbITQHAmM2MRQnKpRrNDKbp4nkIEW9TKw5B3m0SA87lRUVreSiFFeRuCLLSXRzk3QKUih1mp7M0eVmAUsRhdtpk2rSE1Yo0TVxigNoOcLIIYJGDgneRRJ9TkbfVhfzto86VL8lArQpypbsgQFyMzDyrs+yYCOXScq7h/TJ01ZpMi6ZI7DQAedvyYq4qXoJr3rVIZ54FEFCD5sY4KAQYoDaCSIyThRMm02cEKBYpyNGudejA/IrGazQzrEJPIw+lIg7yPsz463bXZWjiEgJYwpBzpcjiGZNpMxRQs4yrf3+GJi7FneiBCFf9dhm5aiGD2GF2Oowr3+JH4S1xOnsQAPDz145JdTNN07kFHPRWUN1IA4wwdRzT6hl6Tqgt78IeV5hZ+S6A1+ueyoV8VVJT9WaprX6n2tX+ABQ42RycOGlcHT4IMebl5U13aOd7f8UFvZXeOzZ/iisK1FJNTxpXR17QewYPkGR2lgt6K8Sm6s3Y4wobg+PHzSePfIlksvNIFFS5rW4nXxFpF2vKVnPhQB0g1DaHJ09nnj/5VcBh3rNrw0e44kC9+7auD2KX0reUQsA1R0PXxhUP2zPzVzOHz37TWUxNGoMTx7HXVUwSmag1Nn0O8pzk3rbmA1J73Y6XnYocYjmx5LhxZeh5AABUVre9hSsO1JHF1CQXCdRr5/t+rV/oezLwnrv/Qe5o2AV5ToQIwut0teQNJRZTE1CRfYG37/0bJAoukszM+t6y87PMcSy+yF8DAMh3175Bi2KSys5RTU/igLc8d/ryT7WT3Y86seQ41c00cxwLQIi4gLc8++LZbwIIMfa4ijy7N3wEh3xV9tTc5Wud24w4Vvbohe9zxcEGz+4NH+XCwXou5KtkDrEyB099zbN308eFqrKV8rKmfQCA772Rub58YTDCcmfTXv/bdv91oTvnr3Inux8lqexcPjm4/GE+UtSUO3HpUTu60K90tT+orGy5B/vcJdbkbHdm//G/t+cXh12bVr5HbKzcIFSVruQjoYZrsTPnd5dSw8oySonc2biHmlbWzmslXVeXh1FKPLevjzLbMQBjjFmWBgVOdiaT3fbU/BW1UIQFAAAoCa43kuCBGGGpuWaz/6FdX+RLwy321FwPyekJsapkORfyVwNKHZJIT5NkJmrHEmNYVQJcJNTIl0c6WF4nar9+aeBpc3jyVN6N1VfFMOapbqTtqbkeRqnjzMdHMvnu6zNCZckyz77Nn1JWNN+JRMEV/9HTfwQR7Hmj3VfYpQSFmvLVYn3levf2NR/AAW+FHV3oN66OHCaLyXF5RctdJJ6asmdjA74Hd31Bqq9YxxxqW1OzPZmDp//ZnpnvRbLkEesr1vFlxW0kk5tPPLb/0858fARAiPmSUJO6pv0Bobp0BV8WbkOioFjT873pAyf+wZmPD7u2rPodqal6k3v7mg/o+e9m/y0n/VtAVbPc2bLGtXmoWzvtDeCQpGDX4qw1HYjwpbMT1oisIk9FvdSqevBoLk3eVB1eobS0gw8Gaq2Z6GVmOTrkOQmJoptkcwtU0+J8cbiZZrMxkkrPYJ+3nKTSM04sPoJkyQcgRMxxdJHjZchhkQsXNUKek8F/xASPp2PVO3lfoCrVffb7QqCoAYmi216c7+cUNSSVVa4lWnbBTiUnhECoAUuKPzfct99KLo6YC7NX3c0d94ol5StyQ73P8P5QneAP1iJJ9mZ7u3/hXd713txg71MAgFtW3yDCWPAEqrGshqhlZKzU4jB1bBMAAHiXryK4bNMfmMnYILXMtOAN1iklVesgwryVjA1lxnqfFYORNogwBxhgACEOC5JHcPurAAB9rzyPHV3oJ8l0FGIsCBUlncilBMWGqg3K6vb7aTYXg6Ko0pyWgBwWmGXrUJbcAACIFMnLTFujlq1xAW+5NTxxEhQSKv8eIMzWAABviP/5H1WrABaq5kgWPcry5juyJy79iOb0hFhb3iXWVXQBQh1mO0uxmoNOIhONf//XH3XdtvZD3ru2/TFJpGf0K8MHuYC3XGqt3Q4ghE48OcFsct3xSDq7IDVWfVtqqd3mLCRG0/uP/2+hpmy1/627vsgYYPrlwf1Ilf1yR8MupEheAAHi8mr4p241OZLMRKHAK9ithMhiakrubNwtL2++01mIj2Kfu8T/wO1/CUVeQa68EGMhaFwCRasglIcgNkenz9pzi4P+t+z8C+3s1cczz5/6Kva6i4WycBuUl0Y9uYY3ks3Pa7QQBzBAnVhyXO8ZOmDPzF+1xqMXnYX4KOQQzwix+PJIeyFxekPRPi7kq8Jutci4Mnwo9i+/eISkswsAAAAxxnwk1OjasnKz3NGwG/s8pebA2NHYt3/5IXtm4ZYLVGExHoII/T6AAN4orIIcJyBZ9CC3WiSvaL5TO3PlF8xxTLG+ct21rpobCF4DAPLCup4dXb8HMOLM4clTzHJ0pCoBvjTUhH2eUpJITzsL8VH3tjXvZ7atp5868jf2QnzsRuORTG5RrK/8R6m17jb3jrW/J+QrTzXW0OQpdV3n23DAW6Z3D+zPjkyf9uze8DF5WdNeo3f0MADgplpDVDfT8R8++Qm1q+MBz55Nn2CmlTV6Rw5jj6tYbqvdDgCAJJ6aYjfgnVPNSAkVkR8py5r2MUKd1JNH/povDtb77t/5eaRIXr0g1Cu319+O3WqIGmaGLwk1AgAOvOKeEECog11qSOpo2scFPGVc0F8l1ldtABwWqGlmldXt93MBX4XRO/wCzeZiUOAVKAgyM6wc1fQEzWlxJEtetavzIQABTO9/6W/NwfHfSFAjtysMMMLIrRa5Nq95hIuEGuzpuSvG4NhRHPJXFz6XS0LhmZoCAHQjgR8QG6o2Su1Ne/iSoiYkix57aq5HWd1+Pw74KphupJGq+CGHRaNv5HDu9KVHrYlo9w3Htm0TAPAiUuSLcnvDbnlF2z0QIx44xKK2YyhrO98q1lR0IbcaotncopXJLZjDEyeMnsHnSDb3ctIIFhxSkKoEsM9TZkcXerlIURNgjF6PugbAy9/9mcLraex1FysrWu9WVrW9ha8qW2mOTZ1zFhPjUlvD7YUOnF6hPNIhVJQso5oe1y8P7DeuDh28nlYDsyxNO3/lV1Jz3VapreF2pavzIXNw/BizbYML+atJOjsLZdnHl0c6gUMsvqy4VaiIdGKPO2JHF/oyB49/JXv8/PffiEjs/23QaGZERd5/8KLQOofZ6TiZe9GN/Mt5IIV0mhvPsMRlACEK44q7GWBsxhn+TuFQZjMrqbPseJYmr2gsOxREkR0UEtNg2rTFjAWDadM8FAIyctXGyPQzaRo7zRhjIVzq5E0b8l06LuhtS9KFYykSO6XD7KhmZ4aCuHQXBpwrhEp3U0BMk+kzDDA67Qx902L/6nS1QKaeIszOilApS5HYGQao44fhCgIIytLkZY2lB/wovFFF3jaTGbPXnLwggBwHBZ8NzDhgAIhQLecA7+IA77nedTKYNrlAJn8pI3d9GVf7HgKIlqOpfpMZsxkav+jFRRsgQBwAgLlhYHmcRQ9maOIShpyKAFauNyZzHJOksnMAAhD/0dN/pPcMHQAsr9nHlxW1pPcf+9/uHes+zJcWNcMlavBcAxfyVQV/9/5vI0l0myNTZ3InLv2I6mZaWdlyj9zecDuzbF1qqt4iVJetpFktnj1y7tu5sz2/gAACqa1up2vr6t9x5haHSSo7Z8/MX4U8L0nN1ZsBY4xqZspeiI+AmYU+sa68CyKEs8cu/kA73/sr7HeXCkWRDuYQC2LMySua7xRPXf4JRPCZm21SIcacd9/mNRAhTr8y9HzqicP/A0mCy3vX1s/wpeFW/WLfk5TXFpFLCaobV7xLaqre4swvDtOsnuCKg3VMN9LMsjTX1tWPYJ87wgwre00vj2RyC3JHwy7sdUX44mA9AADmiwvoNzUXIcwz+gmx+SJ/TV4PxcyQRCaqnev9ldxRv5Pato6A7MtTKN5ggieZjpKsvohcSsi4MnzQGJzIU+05zAuVJcvk5U13yK11t/Gl4Rakyv5XCvdiryuiblj2Di7grXBiyXG5vX4ntR3TGpo8ac/Hh7FLCZGMFrPGZs6razse4oqD9cqypn1YlZ+4nnPYUiE1Vm/yv3X3F6EgKOlnjv4dSWfnkFstcm1a8R65o2GXMTB+NHvk3LeEmrI1cmfDbj4SaiDp3II5NHGcZvWE3NmwW/WsCDux5IQ1NXeFr4h0AIw4e3r+qjk8ecqeWei1owv93ju3flpqrNqIFMkHELrpnpKkcwtMNzNG/+iRxGP7/9hZiI8gWfK6tq1+hGZysfTBk1/133/7f0eK7M/T518fhPJIh/+hXV/EQV9l+rnjf29NzvZIzTVbgEPtzKFT/wQw4pz5+IizkBj13rH5U+qajgfs6fle7dLlnxh9o4dpTk8ADotOPDWpnb3yi7zBBUJUN1JCaVGLWFW6Inv0wvexRy3y3rXtT8T6inXMIZY1OdstNlZt9L9tz18vfvOXvwuWsJe9HiDPSb77d/wFEkWXE09NpZ878WVrbPqc1Fi92bN748eQKvtNAKD/od3/A4mCS7vY91TuZPejznx8WGyo2ujese73AKPUmU+MmANjRxmhNl9e3C5URpYxy9adhcSYNT1/hS8raoECLxvDk6cyzx3/CsSY50uLWq7Ngy8panJtXPEuyOH//oZpjW8SJAUpOx8Kbmlf69omykjhBSTNjJmD4316d6hUqCirFZv1HM0wBmh9h7IGAPD8m3l+pMh+vqx0WV5zFgJAiAMQwnZ0todRSpjjmFCWvZAXFMjzMsCYR7Lkc5LJSUCpw0eKW83RseMMAODqWv3wm6EttVQsOcHDub0lZQ+9bwuj1EGCoBItu8AotSHHi8yxDSRKHogxD3lRZbaZxYoaUuuad8vEMZ1kYpzati4EgnWu+pZ9mb7uX4S27v6sb+W6D6Qvn/sh5DhJKqtcCxGauVVXhugvaiq77YGvAowFCCGaP3PwixDhJwGj1F3T2gYxJzBKLGLqKcQLCiPE1uemzlmpxWFiaAnEi27BF2owY9EeJVK5VpudOK2U1W0Br0nwkHR2QWyo+p737tv+DImCimTRQw0zYw6NH4cQYSjySl7rBCF7LjaIVSXAV0Q689bRjoED3nLsUoK/zZv5nwYIYSjyKgB5zm7edjszBxijXNhfS2+xkX4VCHGoZevm4PhxO7rQJ9ZXrleWNe5lDjGdWHICu9UivqSopUARum5SxhydPqv3DD0vt9fvFKpLV9nT81cWv/2r34OK5JVaardjtxLKnex+FBeSRlyRv/ZWDl8AFFq+CbGkxqqNzLRy7h1rP4R9nlJqmFmSzs5lXzr/HWZaOb403AJ5TrohD/03rh/E12hY2OMKuzateNhZTE5kDp/9F4AgIjktDjHmsUcNL2m8m51KkTx8OFAr1JSvEWvKVmGfuwTKoodZtkZS2Tnvnk0m8riK9MuDz2nne58AEEBnbjHfgeJxhUkiM8Msx+BLQk1Ilf3gBgkeiBH27NlUAiCARt/oiySdXYAYYbGuYm3g4TvfARxi6VeGDjqxxCjNaoupJ4/89VKSO6/ELTsIEeIK2XcARcGlrGl/gKQyUchzEhfyVTHT0m4WQCrLm+4QastX05yewG61CHKcmO9GMZLWyPTZ3OnLP+PCwTquyF+Tef7UV83hfNXvZrBnFvr07oH9ri2r3qd0Nu5lDrGwSw0ZfSOHU08d+ZITS45zAU8ZcxxT7mzcmzlw4h8BAFduOighDrMc3RqbPu/EU1NCVekKZUXzXQAh5MSSE4LHVcyFA7VifcVaAMAz151XdKFfO9/7hGvTyndLzTVbjYGxo/EfPPUxpEhesaFyg1BVuly70PdrJAqqvLzpDr441AARQi/fA0odZts6c4jlzC8OYq8rzJcWtwKMeexSg549Wz5p9I0czh47912mmxmkKgFlVdtb5I6mPVDgFZrNxZhDLKrpSe381V9qZy//jCTS09eba74iI7iklrodRu/wIf3q4AGSTEeRLHmgwMuvtxp/DQVR44NQ4I9hRfZDUVChwCuQ58Q8rz/fAUZ1I0VTmTm6VNtwTU9BCH+qXx54FrvVEJREd8HtC2qnLj1acCvJ0qy2eL2Eitk38uL8331738u/QPl2YmZa2aW6zJBUZg5i9C39Yu+vuUioSaytXCtUliyDPCdR085BgVfM4YlTxtWhA/ZcbIhpRupGBQVqWhrE+Jvamcs/QaoS5CJFjXJr3U6xsWYTdqthviTczBxikVQ6SnUzDTlOtOdiQ5mDJ/5Ru9j3pLOwOPJ/Ogj9bSJHU/0I4jEZuqrdyL+cAmoQYGcEKBYVofI7GKOOTrNjC2TqySxL9gAAgMFyU6PO5S8q0NvoQr72Mly8RQRyscmM+QxNXKSA2mFcca8M1YppMvzdWWfsUYfZWQAAYIBaApDCfly8LYhKdirIXS8QORzCZXdAAFGMzDyHABJk5K7L0sRlDLBMAXUmnf6vZWj8/CvnThkxIYQHOCB4Xcjb5kK+NhvYaQQgVpG3WYHuegYAjZPZFxZJ9DkbmDEAAIAAcSKUIx4UXEWAndNZbsyk2jSG3HV10whzDB6K/+xH4Y1eHFonQDHkQ+ENAAAoQqUsTqLPT9L+f/SgwMpKvvkPFehp4pDgBYCBJFu4bpcyc6hFclocCpxsjc2cQ5LokjsadkFJcKX3H/97rMp+gCCCPCch6RZ6bq8FhJDpZiZ96MzXrfGZC1Jr7XaprX4nUuUA5LGIJMEFxTLFuDJ8MHfi0o+hwMvePZs+JhT02ACEyHCIJTZWb2S2bWRfOv9d/fLAcySZjUKBV1ybV77HtXnle7DXFaG6mcZBb4W6vvPtXMhXJZRH2gtrL8CqHFBWt95n9I+9BG5SCIACr0gd9bdT29GRSwm4tqx6n7K86Q6hqnSFdqH3CXNo4qRQVbpc7ep4yEmkp43e0cN8JFDHlxQ1Q0l0Ecs2hKqylQW3MQAoJXw4WId9nhKY39izQtfjoDUydcaajHbfgJIPYUFvULvU/4zePfAsc4iF3ErItX7Z2xmhjtk//hK3tuOh/E18Y0VNks7N05yWACDIAEIYu9UgXxJqCjx818NyS+02KApqvjtz/LizmJwgWX2RmVYOCrzMFflrxJqy1YAxir2u4uyJiz8yhyZPKita7kIuOaBf6n+aC/gq/A/e/pdc0FsBIYRiQ+V6vry4HQBw9PXOFUIIhZqyVcF33/1XXDhQq1/qf1ZqzovzCuWRdiQJqnau9wnIc5KysuVua2ruijUevciXFDVDnpeRJHpIKjuvXRp4hma1OFccrHOtX/Z2JIquxA+f+rh+eeiAk0hPMzO/tri2rHrfUovFVNMTzLYNOxobcBZTE3xpuFXuaNxtjUcvXUtwAQAAUiQvvEWy6LXggr6KwMN3/jlSZX/6maN/i91qWF237G3m4Pix9P7jX6aakeTCgTqpuWaLsHvjxwBjJP69J/7QiSXG+NJwi2fPxk/wJaFGwGHBmV0c0i70PWH0jR6BECLXlpXvVdZ2PkRSmVm+vLiNGmaGZvNJueyRc9+yowv9od994DtyW90Oz+71H0Gi8FlqWktaz18LCCDUzvT8TDt39Vd8SajRd89tf44DnjJUiB3EuvI11uRcT+ql818i8dSU3Fa3Q3rg9s9zRf4aKIkuc2jiJBf0VSK3GtLOXnlcP9/7hBNLjDNCHbm9fqf79vV/IFQUdzBCHcRhUVnZeg9yK0GhItKJfe4SAPJdzXJHw57c8Ys/BK/ZG/+2oXo5f/Mq16bBbu20J8AVPfbl2c8tztqTtkVtX4gv3nin762ihOTqFnl5KmbPvdnn1y50/8yenetFoujCXk9pQV+NIVn2AQ6LkOdlxHOSPTfXR7LZeaG8dAUuK11Gcrk45DgBiqKLpFIz9sxsT/rQi39HMtk3RY5mKVjyF0gur1rHe3zl5vxMN8lmZoVwSYdSWbtFLClfJUbKlmX7Lv9Cnxo7ac5Fu63YXB/RtTgAjEKOl3mvr0KurNsslZSvlKtCdeme8z9KXz7/Y/+6rR81otMXGKG2q75lnzbc/xy4RXWZUeo4ejbGKLV5j79KLavdkpsYPMSIYyol1esRL6iiv6hJ8AbrYudf/F/azOgxSmwDsLyNd25q6HB43e7PmcnYEKPE4l2+Mt7lLQcAfP2157LGps/b4zMXlFVt92GfO+LMLQ5xAV8FwIinupGEAqdAnhOxSwkyQh0ST05CSXRDUVCBQywnmY5Sw3zTbOD/nwGECHKcQJKZaPbFc98yR6ZO8+FAnWfPxo9jlxokOT3BnN/kyF8PjFIbUEYgRpx76+pHpLa6HYBQx16Ij/DFwQYAAEAeVxgp4g11NpjtWHJb/c/UVa33qhuWvzN76PQ/caVFzeq6zrchUVCMvtEjeXeNkuWQ5yTsdRdDDkvgNVoWrwU1zAxJZqLyipa7zeGp09Z49KLIcaJxdfgQo5RIjVWbsNdVjGTJ+3rarSBECCKEkVsN+e7Z/mfUsnVzaOKEe/uaD9izsUHgEAtwWMAeV/ESh/zNc3CYF2sruvxv3fNOua1uB8nkYnkqmCtsjs2cp+ncAqCUcOFAHRIFl9zRsEtsrNpoDk+ekjsad2OfK2KNTJ9N/vrFLzLLzmG/p+xmQTHksIA9ahEj1GYOseSW2q1cOBh1b+/6oLOQGDX6Rl/ky4vblVVt9+lXhp43851zbyogghhyWHBiybHM8ye/akcX+oTy4jbPvs2fRLLkIcnMLLgBRQS71WD4I+98B0mkZ7RzV39JMrkFwABjhpVNPz3xPxmhttRcs9Wze/1HSFaPa5f6n15KgMB0I230jb6oru18CEqCi2RyC9kXz37LGJw4xocDdd67tn2G5vSENTXXIzVUbZRaaraCWyR4GKU2YIwwBpi6tvMhZVXLPQAAaM/GBvjSvOggdikhpMqBG47hEFusLn1c3bD8na5NK95NkukZrjiQDxRdSsgcnDjGDCsrttRuhwIvI7daVKCr5TeVhDrMcnQuHKjz7N38Sb4s0oFE0WVH53sBgtgamz6HJNHt3rHhD7DHFcZuVxggiKhupJzp+KgzvzhkDIy+ZPQOHyLJTPRm1B1nfnEo++KZfxHqKtfJHU17YF4wjwEIISDUceZig7e6Dze9nvlEz5sq/lt4HKQLr9cFks0tgpt0yi15DvmunlkAwCzE6CiACOc1MUDeRY5SZ6ldf4X7kwAAJCCEw8aVgeeQKLq5oK8S+dwlkONE5jgmc4jFDDPjzC8OU91I/UfRCPhtgzJiAgD6IURDkIJC5Q8AACAASURBVEAE8qzGPJMprwZPCnRsAAAAhBEDAHAWQngeEoQ5wHsV5K7ngeCngBgEUHPS6f+qxjKDJtOj7BViwwQQDULE+1CoCwAA0jR+QUauWsLsLAcFny9vm84sps/aUFmMk+jzC2T6GRuY19XnK/wuCSE8nqKxUwC8cv4AMAAoA8xh7F8T7gwwx2DaVAiW3ZGh2jnC7GwIl+1bIFO/vtE1spmZgBA+FaPTzwIAUWF8mHfhYk5BU/HZuDl7CACIIYCYAWZTQK8fW1BKme3oOOApc21d/QgOeMpIPD1l9I4cljub9ikrmu7gI6Gma/HLrdwUXwWHWObQ5AnGGPPs2/RHzLRz5sD4Mex1hcX6ivVQxjzNaItUM1Leu7Z+houEGiDHSQXDTMgYY1J7wy4AASSJ9DRECAPKqFhTttq9a8NHpIbK9QBBzhqeOp09duH7es/QAa7IX6usar0HCoLCLFsDECKxvmKd3Fa/o2B60HOj6TLb0bOHznxd7xl6HjBGAGPMXkxNCFWly6EgqOqajgfk1a33mv1jRwEDDKmSjwsH67kif7V2pufnicf2f8a9c93ve/Zs+rizEB/JHj77TaNv9IizmBynmpECeUVLludvgvyz5EYFGAggFAUVUOpQQgl2KwHXppXvJon0dPbo+e9579vx2fz7IIIcXpL49XX+Xqvow29NQox5ZUXzna71y94uNlZtJMl0VO8eeFa/OnzoWvdR/usHCg6zEAAEMef3lnvv2fan6pr2++WW2u3qus63ckFfpTk8eVpe1rSXGVaOi4QaqWHnoENtHPCWSy21W6HAn2GWvbRiZgHI4wp79m76hFBX3gUIJXJ7/U7AGAUcJ0KMeTu60I88apE5MH5Mf2rgWXX9srcLzdWbtXNXHzf6x45aI1OnkVsNifWVG9zbu35XbKjcADlOtMamz5GMtoiD3nIoCS6qGUma05M0q8UBpUuixuY77yEQGyo3ePdt+iQXCTUUXIkFz+4NH1W6Oh4AeVFqHmK85P0pEnjJs3fTw2JdxfrUr174vDEwfgy7lIB94MRXkCJ5pYaqDVJr7Xbs95TZ0/NXs0fPf8+emuuR2ut3+h7Y9ZdCdelKyHMiLNDCuJC/Smqp3Up1I50vmikBJ5YcNwfGj+mXB59DquwXqkqXpw+e+hrTzYxQUdxJTVuDHCeoG5a/0+gdeQHcoPh1K9gz8732bGzQtW3N+5EseuzpuSv2XGyw4KRazkxbc+YXh5WVLXeLNWWroSioAEF8TZRarKtcByCAgBAb8rzEKCXY5yl1bVn1PnVt+wNQFFxkMTmRO3n5sdyJSz8GHOblzsa9SJa8JJGeppqREuvKu4TKSIdYW94FMRr8P7nOihJSKhultvOH009fPZ09Mjthvkyxz6acRUbznTu5DEklF503PcFjjo6dMMfGT4F/1d+FoKDVyYeLmvDWTR/hgoFqpb31TmN49Gjm8NEvU11PMMYYxJiXGutvQ6LoItnsPEmlo7fSjn0zsaQvEOJ5KbR930bAcaJUXr0eCpI703vp58EN2z9lxWODc7/+yQf06fFTRMtdz4bXAAAkkCiNCKFwi6uh9U6AEJft73mc8/jK5YrqjUTLLYqlFasLoq83TYjYmcSEPjd5xlXZeDtzbEMpruxCPK8QRh3BG6ixUoujvNtXlp0YOJgd79v/2gUWQjinz0+dFQPFzRBCBBgliOOvX6ElxNK7B55hlq3bM/O9TiwxZk1GL1/3vdfGRwhxIV+V1NG0B/KcyPT//G3jbzryNRmctwCPDSqrW++TW+t2AAgh1fQks21jiRVbBhhjyuq2t3j2bvoE9rqK9Yt9T1HdTPOl4VbtYv9TYm35GsAYtaOxm3Z7WFOz3dbM/FV1TftbuKC3wpqIXkw/9dKXaE5PcJFgg7Kq9V6IEc8MM1uwIhTBLRI8wCGWE0uMCVWlK5S17Q9BhHDu7JVfksXkuLKq9V6qm+ncqcs/FapKVwCaD6KWdP0KHTzYrRYJteVd5uDEcdfGFQ/bc4uDxsFT/yQva9oHcb6753Xp+lwbXhJV19bV7/Lcvv4Pme0YRt/okWsCsen9x//empzt5sOBOqmldhtyK0HIYYFRRs2B8WO5E5cedZKZGSRwEsloi8yyNJrV4nxpUQu4WadEQZcJ8pwkNVVvtmdjA9jnjtgz81cBxrxr2+pHAKUEyaLHHBg/WrBsfnMBIQQIYZrTk85CYtS1ccXDYn3lOuAQixpmhtm2xm4Q6EhtdTv48uJ2Zts6Xx5pR4n0TO7kpR8z09L48uI2sa5irbq24yHscYWN/rGjJH79bpPXgjHGpIbKAZLMRGHYX2NNzHZbE9GLnM9dItaWd2lnen6uXx0+pHQ27pFaarfJHY27IYe/cdN7ThiROhp2e3Zv+CgX8lUZV4YPOcnMjFBVskLrHtwvVEY6saoE7JmF3pvNzY7G+qyJ6EW5s3EPUmW/NT5zIf38ya/SdG4BB7zlyqrWe6HIK0w300gWPVAUXk7wAEoJs20DQAidhcQYzRkJo3/kiDO3OOS9a/ufZJ4//hU7Ot/LBf3VSJG8jDLCHMdkhpkhmVyMpnPz1FpaBY2algYR/DukyD7kVoteVTlkjDqLycmljPP/MgoB4JsSBBbW7JcTPgCAS2/GuP8ZUUjELPm6F3T8KMhrxC1JxJUwJ4cA4nWWm8jQ+AU3CqxI08Uz887E4xwUvBBAjgJiWMyMmUybtpm1pGfvK+7zUuZgCFD6borGTnOQ90IAYZzMHdZY5qbJ11udo/D/S9tA5+MSHqlKwHffjs/a0YU+Y2DsqLKy5V6hsqRDaq29DSCEAQOMOY71uijwEGI+Emwkqcxc+umj/xMKgqqsbrlXqC3vAghxzmJqkqSz81Jr7XYu4C1njDFm2bo1Eb1I4ukpgLGAPWoI+z1lWJX8vvt3/oUTT00hWfJCgZf1q8OHjJ7hg+bQxAkoCS7vvs2fgrLoMvtGX9JOXf4JtR3DtX7ZO8S6irXIrYSk5uot4GYJnrzhw2Ov/B1fWtQklIVb5dba7Ub/2EuJHz31R048PS1U5ztArxVCuUhRo9hQtUG72P+kuq7zrcbA+LH0wVNfo7rxuouh10xPIEYc5DkJuxTBtWXVe5EqB3KnL/8UudUQ9rojAIB8Z/jr1B181d9sOyYUOFlZ3fYWe3LucupXL3zB6Bt90Z5bHGb2TTvKCQBghI+EvijWV66TWmq3WuMzF+I/fOrjznx8hBTEes2x6XMklhyXOxv3uneu+7C8rOmOzAunvwFehwEN5DDv2bPpPcrypjuYYWbNocmTTjw1JbXWbYccFozekcPa6Z6fm8OTJ0kqOwsAA0bf6IvG1eEXqGFlhKqSFd77dnxWrC5diQPeCoggYpatMdPKcSFfle/BXX/JLFtnjmMCh9jMcnQc8lUCuDQ6FcSIBwhiqblmq1hXsdboGz0s1pWvhYIgy211OwvyBgAQ6rwePTWhsmSZa+vqR8z+0Rdzpy//lKRzMSQKimvLqve5Nq98L/a4wtmj57+Xfu74l+1obIAL+Sp99+/8C2Vly90AAKCdufJzY2D8GF/kq1bXL3sH9nlKGKUOkiVPXifTMbPHL/wgc+jM1/mSUDMzrGxmYPwY8qhFXEmoyUlmZpjjmIxQB3tdxe7b1n6IC3gvOfHfNPC5GRhjDHvdEb44WJ87eelRqptpua1up9zRcDv2qEUknZ13EpkoX17cxhcH6yHGPCPEtmdivfbMfF4UX5a8OOAtx24l5Nqy8r3yssa9gFKCfe4Se3r+itE7cljvGTpADTOjrG1/kC8rbrNGZ86lfnno80QzUkJlSadQEelEiuwTW2u3585efRzcYl/+7wlTp1piwZ61DKrpWZKOVIm12SSJM8poZZNc37HBtYPnkeDYzIqOmf+mYtz1UHiOX3eN9WzdtA0ghIimxbWrfU8b/YMHX5OItpDAH3Ct6/odkEpNY4+7mGT/g3XwYNUdkcur1mX7e54QQ+FmiBAHCLEAhGjx6MEvaiP9B25Fb6CmkXXVtzwpRcqWU12Lc25vWaa3++dqTcNtclnVWiSISxLVoo5t8KrnO6K/qJFT3MVQwB4su4qIZWYEX6hecAeqIceJKDp2CmJOANdZvCGESC4uXwUhwo6WnTdTseHrnYtRxiDGp6yxqXOFdvtbglFK1a6OlUJVyXIo8LLZP/oSeJOrt//5wRhjjHJBb4X3rm1/ItSVr8keOf8dksxEsVspQh5XESC37uBhjDFGqMModfQLvb+GkujCXlcJ1YxU9uiF7wnl4VbkkgPMsLKc31MKXiHy+htj6WbWHJg4LjXVbLGjsb70/hNf4SPBBnVN+/18aVGzfnXkhfTTL/2t2FC1odDJc8tK0TWhQQABpOncfOJnB/6MakZK7mjYlTt1+TG9Z/AAFHiZ2Y5RCMyXmuBBECJsjk6fjf/wyY/xxaFGvizcmj189l+cWGIcwHylF/vdJSi/qV5yMoTzuSPeu7d9xLVl1fuA7RhOVlvky8KtXMhfna9aMKasar2XC/trpZbabcAmJsnmYkbP8MHkEy98gRlWli8vbuNKipqEOslfCL4YuOZQdwNAhDAUBReJJcczL5z+Z2bZutRcs5ULB2qtieil9LPH/l5Z3XYfsxzdiaem/10qDgwwwBjhi4N1/od2fYEvL+7IHjn/bWZaOexzlwIO84D8ZoIHCbzke3DXWihwsn554Nn0M0f/zllMTiBF9gmVJcuFmrLVfCTUQE0rixgrYqaVY9aNxZpfC3s+MUKS6SgX9FY6C4lRLhJq4Iv8tdZE9BIj1Pbu2vARoa5iLbMdkwsH6riQvxoAcMOFkBFiA8aY0T24H4q8iv2eUuY4VvbI+e/w4UAtbq3dDhDisN9bDgA4f8NxHMcy+8ZeUle3vcVZTE2mnzvxZRzwlCsrWu4W6yrWGv1jL2WeP/mPQkVxh9TecPs1G0kA8s9R79236UiWfNitFuVOdz/GLFtT1y1/Ow74KiDPSU48NQ0AWFIi7FYo6E1cSyj8F/4L/4UCbGAlCHNyWZq8kqOZIRX6Oghz9CxLXSXUeUM0hDcCixkxAMBLv63zvRYQI65gW85IMj2TO3Hpx9r53ieQKgeQWw0aPcMH+aqS5UiVfEvUCHwZJJWZXfzBUx+jOT2hdrU/6Nq88t1IkX3W9NwVo3twvz23OCTWla9V1y17GwAAAIeY2aMXvpv69Yt/RXUjBQGAACEOSoIqNVRtULraH5Tb63ciSXQb/WNHM8+d+AqURa/79nV/ILfV7YAcJ2aPXvge1YwUDnjLlYbKDerqtvsAghgKvCI2VG2AHPeN1+HcCWgqO2dPz/fy4UB99uiF75OMtujZs/GjfDhQT1LZ2dzJ7seEuvIuPhyoBRAgZ25x2FmIj3JBbyXkbuCSdWvkK+p5V1BJWdlyNxcO1FkT0YuBt+/9G6GyZBko5NkggujfkuCxZ+Z7tYv9T+qXBp7RL/U/Q9LZ+ddTHCPx1JQ1Eb0olIVbqW6m9fO9T3BFgVp1XefbzJGp0/bkXI+zEB+ltmO4tq1+hA/7a/iiQA14HQkesbZ8jXvrqvdBUVDMwYmT1vT8Vchzknay+yfapf6n7MnZy1Q304xSyvncxVw4UMdHQg1iQ+UGsaFqI/a6wiSdi9kz81dzpy7/xIklxmhWTzBKHYgxDzksQEl0cwFPOV9e3CZUlizj/J4yiNCSBJGhKCgQYx4wRqyRqdPZF858w5qevyo1VW/hQ75qksjMiE1Vm6hp5RhlS4rhkCy6g++5+8P/P3vnHWbXVZ771XY9vc0507tG00ejUe+SLdkWuGMbMCWYwCUBkvCE5JIEQgqQhCTc3HshhBBaAIdi3LtlW7K6NCqjGU3v7czM6WX3vdb9Y0Y3JlY5Msa+udHvefSPpGedtfc5Z5+13vV974tdjmD+ZN8jNK8mkUPyii112z37t30WB7zl6pn+JzIvHf86zeaXhLqKjb57b/6SUF+xyZiK9qSfPvTXWu/IS1QzcpAjgjY0eVhe03i7FU9NEr+7XFrT+C7scRVLLfX71DMDT5qzi300r6YYpTaSxSVgWhpV9Uzu1dPfNueW+uWO1e8SG6t3iqurdkCMfnpda1GbmulnD/+92jP0nLi6ervntm2/z5WGm+1li4V/0UemjxO/p8yxteMDK55UQB+dOZn4/hO/fSmMA0CIIMeJXElwtdzVfJfc1Xw38blLrHhqOnvgxDftTH5Raq3fJ69tugP7PeVa78iLdjobhZLgkuvKN8rrW+9FbkcIgOVqoJVK7XdM4MmmrPjRZ1I/03WqFVcJ9dvv9D+IEMCmyYzSamEVwpDMjmoDc2P6wOKMMfG2Ts62TS4UXGXMR3sBZfRyh/DUMDXf/n1honiSNsnHVvy53pYwiMIEHtnh5wNFq3Mjg88DxqixON8rV9fvgRhzdjZ9Td+cSxjxxQEsO0NSWdUm4vFVAghBrr/nUVdr5/uormUuOahfCzOfWXCWr/pR0Yab/tjWlaTgDdUbqdiwkYqPIk5wYV50ycVVG1cMlo8w+u9KMJYcQbm4ahORnEEzl5mXw+VdCycu/vmVXmtFRf6lNwNCCAHGHOSwgByyD1BqU1VPY5cjxFeVrBXqqzYjWfIhWfLc8OB5E1i2SfNKEhYHG7DPVWxMRs8DSm3idUVIyF9N82qi0B9WmlVi2oXhF+SOhv3yupZ7aE6J66PTJyAhPF8RaUccJ1EGGCkK1IGrJIQx09L08ZnTzDRVsalmN/a4ivnK4nbscRabMwu9xO8pI353KVdS1AgQxIAUIPDYtmkl0jPAsk3lTP/jQnVpl7kQH9aGJo/YyfQMsKl1KWUJUHrZh8flgBBhgCCiOTVFigK1XFm4JX/k3A8hz0lQEt12MjvHLEsjAW8lFAU3KFDgIQFvufeem7/g2NLxPmDbljY+c0o5N/gUMy3dtWv9x5Ekuqlm5KzFxKjUUnez1jf6snKy92d2Nr9kxVKTfEVxm9zVfI9QWdwBOCJitzOUe/XUt5Eseu1MfvFqSVcAQgz55XJTsal2D/G5S7SB8UO5I+d+SPNqwrG5/X2uHWt/g1FmM90sWBy5Hphl6VTR0lwkUI9cjpA5Fe2BECLsc5eSoK/SXEyMscsJPC5HiK8sWWOnc/OZZw7/HZJFr3vflt8R6yu34KCnwpiK9tjZfIyEfNXAtk1jbqnfzqsFi240m1uy4qkpoa5ik2NT23vN+diAnc4uSJFgPRcJrrKTmdn8kXM/dGxsvR+7HSG+LNwMriLw0Lya1PvHXxVXVW5xbuv8EDMtXR+ZPgYBhFxpURMUljc5XPFyi+MV75dNbbGh6jRVtYxQX77R98AtX+XLws3Y5ym1FuNj2OMskjsbbydhfx1yiD4ocL9kbsoULU3zakIbHD/ITEtDTjmgj02d4Iqv38T0Bv9/gAnEEABIKbDpm0wqucH1QZmt2cBSGWA2D8UQAMyCAKJLCVf/ZcCIQw7ZxzQjn3nuyNeUU32P8jVlXdjjDOcPn/kBMyw18JG7voV4TmIF+mldglmWRoK+Sucdu/5EqClbZy7EhzPPHv6aPjF/Rqgv3+i+Zcvv8RWRtksmtlYiNZN9/sg/WLHk1H8YKgYAmMRu50ue/ds+67pp42/xlSVrfPfv+ysS9FZCjpPsdC6qDU4cooqa5EqKGvnqkk7sdoYZAIDmlDh2ygES8lVjjzMMrsMsltnUsjP5RQABgBhiJIturW/kQOb5hX+wllITUmvdPqG2fEP6qUN/o5wdfApJvIsxQLlIcBVyykEAwOU6AAoAAogRwR5n2LGx7X7kdhQJNaVdXFmk1ZiYO6Oc7X/Cd9++r4BL3plvkuxLx7+effnkN6+6TrkKjFLbTmbmAACAK4+0+e7b91d8TVkXkgQ3XxFpRQ7JlzvY/R1tYPyQncjMYp+rmK8uXQsKCOwAAADIEcHzrh17SDhQDyBEfHVpJ7MsPfvyyW+qZweefr3HG0QIyV3NW/0P7v8f2OOKAAQxTecWcoe6v6ec6nvEmJrvuZYnHCSY40rDTd47d31eam+4DVBKAbj6MxnJohcQLBjT0QvJn7/4eaYZOXF11XZgUTPxo2c+I7bW7xXqKzYzTc8Cdm1hBGKEHZs77pI6Vu+neSWJPc4i997NnyJF/lrklAPG5PxZ6+zAk+r5oWdpVonxVaVr/Q/u/x98RXG7MT7bnfjxs7+vD08efV21nQUAeGrlD4Ac4Z0j08e979n7l0JdxUbnrnUfSz787GcBAIyEfJXObZ13QAihcn7wGfXC8AsrgRENQl3FRseWNQ+qvaMvguuIu2e2bUGMsOdd2/9A7my6g+lGLvvSsf+t9o4cwB5nkWNj+3vF1VXbVtZggFFqZw8c/4YxPd9zGVP0OcRzR43x2W7vPTf9Gfa4it37t/8BkgQX9jjDVNHS+tDkYXN+aRC7nUVic+0eLuSvRgLvpJn8EnI7i7BLDnKRQB24yuH3rxtDo1q4XHiuqlHqiFQJdYKIZEYZJRzkx/vUs7yEZFOnWs/R7AFqv33tTwAAoI2MHeQrK9YLleXrsMtZZGcy85CQkZWodAggQHxJSZt7++ZKK54YZ6apFXhM/5ZQkMADMRGRKHl967d+EgAAkqn4OO8P1Wuz06csJfeGKO4rQS1LBxAiPhhuNOJLg4Fte/5YX5i/oIwNHeD9oTpGC1fD9eTCALUMBQuyHyJEGKV2bmroJYiJoMfne4VgcZuvecNHObe/Wi6uGmCWkUec4Cpad9N75OKqzWYuNWPrSsLIJqfU6PSpa7/iMsTrjohtq9aIjbW7kCx5mWEq2OOKrLTliMw0NW1g/BAJB+qx11XCLKsgr5gb/DvMsnU7nV8wo7HhxL8+9TvMXDbhlTub7rCWkuOQJyIoTN1nzDAUgBA2ZhZ6zZmFXiuenkZuR0hsqN5+yeAUSaJ7pef8KgMxxpdHRqzFxBgJ+av10ZmTuYOnv8MMU+XKwi1iQ9U2O68k+IridmshPgIx4q82HgAAAJtaNJ2NAoyJ+9YtnzHn40MkGhtGIu/AHleE6noud+jM91YmYF/ykSoICJHYWLMTe13F+aPnf+TYuuYDQk3ZevXcwFPqheEXmG7kSchfjWTxsikkvzQUQogrDq32v++2L4rNtbuNsZnT2ZdP/pN2cfRlEg7UefZv/6w+OPFa9lD3d4nXVey+f99XrHh6ipmWJm9ofQ9YLjstxk7Zrw1PHk0/89pX5a7mu43JeUMfmznl2Nj2gB1PT7Or+VWh5f55UuSv4UuLmpRzA08hlyMotdbthRhzUmfju6miZ6DAyW8mfaEQmGGqdjYfY7qpxP/l0d+EBIt8WbhJWtN4u7kYHwWWbV6uvxY5JB8XDtQhSXAFPnzHP2KvMwIYoNQwFCuWngKWbfDVpV0kHKhjmpG3otfn+cIoY777b5lhdDldjqazC8bE3BnkkHzWQmJUOTvwlNhYvWO55Bphcik29orXaSgAAmQuxEfSTx36GyuWmkCy6BFWV+8AjFGqaCnsdoTI8uniVbETmRljZqGXryzpAGNz3bnDZ/+VmZa6XOFVu4vm1SRfFm6209kF+B9EUarqGWbbJnLKATa32G9pWoaEAjVUN/I3BJ7/enh9yLd/v7hXlqFzaNDqBQVufG7wq8KADay8xcy0BB1VApSKIURkxTvnvwwQYw47RC/AiIhNNbtJOFCvnO57VBscfw0wwMTG6p3IJQeYZenMuL7KJux1l7j3bvo0zeQXk4+89AVjbOYUVxZu8d2398tcJLiKalrGiqemsM9TBjkiGFMLPeZScuJK49mZ3BIJeP4nVxZulttW3cqVhpuN6WhP7lD3d7X+0VeQJLrltU13ik21uyHBghVLTmj9Y68K9ZWbcH3FZux2FmG/uwxcTxoQpTbNK3EAEcJuVzj37OG/B4Ax5JB9jg2t95Ggtzr1+Mt/YadzC+Kqyi1CbfkGLuSvWTEirgIADF3PPQMAgOWgEwABQhggSLIHT38HMMCkltqbkCR6Ms8e/nsrkZ6h2XwMYEiQcJ3m16+/PP36RLvLseLHBpAseqS1TXfYsdSkemH4BXNuqR/ynKwNjB+iupE3o7EhUuSv4atKOn8pfOAqIEl0CzWl6wCEyIolJ9JPHvpr9fzg03YqG319uxPkiMCVhRvkdS33Er+njFFqmzMLvanHXv5ztWf4+UJb5VYOWc9zkeB/N6YXeu1UZpbpV688RpLogRzhkSR6XDdt/IQ5He1Vuvsft7O5RYgQ4UpCjQBBRDU9V4hXCVccanDftPG3kSS4zXRuga8o7liJr89it6MIueSg4HeXAcaYtRgf8+zf9vt8RUmHORO9kHj42c/qo1PHr9ZKyUzLQJLwCAn5qjzv3vE5x/qWe43p6AWmG3nHpvb3GhNzZ4zx2dOODW33Se0N+7HbEaKKlmaqnhVqytYJqyq3AgAeK+R+ArD83jh3rvsYzeYXcwdPf0e9MPw8FHmna0fXR4TV1TuAbZt2KjuP3c4wlAS3FU9NGZPz56+UeEcNU4MceZiEA3XuW7d+hisJrbYT6ZnMc0e+ppy++BjV9KzYVLPL0dV8N3I5QjSnxPLdfY8Sj6tYXt9yL+SIsJKudaDQa/h1sDhrTKp5Oyc5kCtUwlfFo+aMy0cCwVK+AiGAzx/Ovrg4+zZX7wAAAEJEGxh6EWLMM9NUnJvWP8R0I2dnMlHI8xLxeSsgz8mMMYo9nhIrlZkFV+lUeKspzMSK2gY1jRxxOIuMZHxMjJStMeKLg1TXMsws/KGHeN7JqG0iUfJy/mA9NU3V0971ISO+OKgtzJ5nVuFlrZaaW1w89sKfMWqbWny+l1FqS0Wl3f6WDQ+p0ckT6vzkcc7lK/fUd9wnBiMttq6lAGAMIszpycVBPbE4iEXJmxnre9LMZwpqoUKS4PTevfcP+aqSTmbZeu7Vk9+mWSUmdbXcbS0msDUQ6AAAIABJREFUxpZjAiHmSooaSdBXqZzufcRajI8Uek03WIbZtkkVNQksWyeR4CqhorgdyqJHvTh6gFm2zleXdrEC1H3AGGOmpVFVy0KCvyHUlm9wblnzIAkH6sxobJgqaoqvLG4HCBEkCdcUOqx4esZciI9gv6fcGJs5JdSUrRPqyjdYifSMcqb/CWZZGlccaoAcEQG+duUWY4xJrfVJZpgKs6iRfuLVL9OcEichXzVfXdJJNSNPc0p8+Z5Qq1BzLsYYBYzZSOAdkONEgCBRzw8+jXhOMueXBqx4esrOKnG+orgdu+TQtcYjkUC97323flVqrd9njM2civ/giU+a0wu9XGlRk/uWLb+rDU8eyR448U9MN3Jyx6rbSDhQB0XeqV1YekGfmDtDQv5q976aXcbEbDeEELn3bv40lAQ3oIwKteUbsNddrI9MH6OqfhW/qhX/m5wSzzx35GuQ5ySaUxPm3GI/VxZpST916G+cW9Y8KHU07H+zqUfXgpnLFTwQY44vD7cul7FjXu0ZehZAAEjQW3W59wjynITdcgggTCBPxNxrZ76nj0yfsNPZKA76quSO1ftpVolbIAawxxWhmnHd5bA0ryRoXk2mnzr411rf6EvO7Wt/A1BK9fHZ067d6z4mrqraaiczsyTgLcd+TxnkCM/My4vPzLBUqhu53MHT/8JXFLc7t675IFcWabGWEuPm3OJFrizcDCBEhXxn7Gx+yZxeuMCXRVqN6fnz2OOMSC11N9mZ/JLaM/Q8zSlLJOSrgoQIgKBfLtNnjNK8mtCHJ45AgjmhunILgBBCjhPRDYHnPxUIQehyQY/DAZ2KwvKpFC24Fc7pRM6iIlR8263ijvvfKz20sEDnfD7oBzcEnrcNDIjsRv61FjAzGlNmIEA8/C8m8ACECBQEF8SIQIF36CNTx0g4UCd1rN5PAp5yrshfi12OIjudi17PuhgAAACldu7g6e/kjp77odhQvd3z7h2fExurd5jR+HDu8JnvQ4J5YVXlVhLwVgAAgBldGrrWIZedzM5lXzn1z0JN+QYAAcw889rf5o/3/ESoq9jku3/fV4Ta8g12Khs15xf7mWlp8vrWe0nQWwkghNjtKCJ+T9n1XAKzbcOKp2cAgpiUhBqZbVtckb/ac+fuzyNZ9Jqzi33OLWs+wFeXrkWy6DXnlwYARhxEiOCrGPZfFQgRXPEcBBY1lO6Ljzu3dDworKramnn+6D8oZ/ufIAFvpRVPz5CgrwI55cCbep23AgYYs2wdAAD0ockjuaPnfmxORc9jn7sUUGpp/WOv2nk1hSTBacWSkxAjwoUD9Stpp9FrDY9E3skVhxqAZev54xd+kjt46tuvbw9CAi/zNaVdntu2bcU+d8lKZQawYqnJxMPPfla7MPzCdflGrWBGYyMAgC8W8n+hwDshRhxyygGazi1ai4lRqbPxdi4SqMNuZ5ivLlkLIERMNa7Z0QEJ5rz33PSgUFO2zkrnosb4bDf2uUuljoZ3QYwwJERAsuixs0os+8rpf8Z+T5m4unoH1fRc+ulDX9UGJwpKKKOqnuVLiv5N6lj9LqG6dK3vnpv/HAqcTHNKHIm8w7V7/cchz0la//iruVdP/bM+NnPSe9eeL8prm+50rGu+B/Hc84UmZEKEsD40eTj1i5e+iNyOkGvnuo86NrTdzwxTUc/0P24rakqoKG7HPncphBAui1lX95tkpqVzkeD3pbZVt/AVxe3KuYEnEw8/+4ck4C3zvefmL8ldzXczyzbM2cU+O5NfEhuqt/HlkfYVk2uRKylqvNr4v24QgojjIJdJWDFeQD+NR82Z+nZ5g9MDfPMT+sjFk7mD/d35I6ZOr8uM/K2A5vMxQDBHFSVhpzNzjC53XQjVVZu0oZGXQcBfa8zO90Cel5mu56x4fJSZhdm9vBUUJPDYqpI040vDqLisE1BqEY+3XJkcPSSXV28Ryyo3Qgiv+WCAEEFPx7ptWJIDQri4TV+c7zESS0N8oKiBeHwVSy89+VlmFxh9Df5v69Tp1/+dnlwaTI9ceNRZXr8n1v3K3/LeUF1usv9ZZpsqs23TSC4NMsAAs20dEU5mtqXnZ0cPvr6F62qQoL8auRxB9cLwC2J91Ra+snQN9nvK7HhqCge8FQACiETRTfNKQjl+/id2Ojt/vb3YNwCXzPAcXFm41Xffvi9rF0dfthYTY3JX011CXcUmO5mdK7Sdj9nUJF5XxHvHrk9IrfV7AQDASmRmhJqydYxSy07nFpBz2Qj4mmNpepbm1SQSBSdyiF47mZnTR2dOUVVLI6fk5yuLO5AouJhm5AqNeGSanqF5JUEVLW2nMvPuvZs/RQ1TpYqaxB5nmIR81Zcc8Qt2X2eMMkqpnVXi2RePfz139NyPpLb6fcbsQp82MHGI2bZlzi0NCNWla0kkWA8ROnSlEyIkiS7/+2/7fam59iZm2SbNq0mqaCmxqWan1N5wmzExd4YEvBVS26pbIITIsWXNg9rgxGuZpw991ZicP0d1Q8FuZ9Cxse0Bvqq0U1P0TPqZw3/PND3r2Nb5QbG+YjPAiLMz+SVmmMoVrwkue2fZ8fQ09rqKpbb6ffrI9HE761ha8fvZJTZUbUMOyYcdsq+g+3S9YEQQz0lCXfkG3337vqKu9C47NrY9INSWbzDnFi9eVuDBiAOECPrgxKHkz1/8E2DbFl9V2imvbbrTzqtJ7eLoAW1g/FXPu3d8DqxEvl733BhgdjIzZ8VSE9679nwR+9wlNK8mHRvb74cE8bnDZ76vj86c9L33lq9ipxxYEcEuL/DY1MIuR9CxZc0H5DWr3wU5Ilmx1ARfUdwOIIB2OruAva6S/1hxc9mxlqueliBPROxyhOxUdl4fn+2mipZGAi8LdeXvwk45YOeVJMRv9GGACGKhrnITEgU35IiAfZ4yEvBW3qjg+c9FWxvp+shDjk8TAjhCIPf1b3iN4WHr4tSkPZbJsrSuMU1VWZ4QyF0SgkJFKFJSgsu//BV3ESGAOJ3Qlc2wtKYydWzMvv7T/hu8KRgA1AaWkmeZAQAAcCLvzTpT5q7VjvH/GxAhDPnlwwMkS17H+tb7rFRmzpxZ7DPGZ7sdm9vfx1UUt61U8FzXuo9RZtuZXBS7nUVyV9NdVDfyqUdf/nNm2brc0fAurrSoEXJEvHT6CwkRkCS4wFU8wxilFDvlg+qF4eflrqa7uZJQIyCYhwRzTDfyytn+p8xofIgZpirUVWwCNjXN+dgg8bvLoCg4SchXDQkmzCpsfcxsastrVs8xy9b5ikib2Fizw/Pune+XWupuhjwni401u4Bl6/kTPT/Nn+z9OYAQ+u7b+2W+LNz8pr1xEMIAIQwhwlDknY6u5rtdO9d/NPvS8a/nj/f8GxIFN8CIUFVLQQ6vwl538Zt6nasAMSbY7SjCQW+FUFmyhisNN2OPM4xk0QMw4mheTdC8mvK/99YMWdksm7OL/cTnLhUqSzrU3pGXzLmlAeRyhLiQ3wsoW7QT6WnGGENuRwgv+0NeU+CBouDCXlcx1Y28PjRx+JK4AzkiOLeueTD0yQfuYIalKmcuPq6cHXiKhHw1zLKN7IvH/pd2cezlNyPuXC+IJyJAiADGbK4i0ob97jJrMTGqDYwfQpLo5isi7QAAQDU9x66x3uXLI22OdS33MpuazDQ17HOVWEvJsfz0/HkSDtZjn6vUGJ05oZztf9KKpSZ979n7l0gSPbnDZ3+g9gw9dz3zNhfjI2rv8At8WbgFr/jTIIF3IFny6SNTR3OHur9rLSUnIM9JYkP1DuSQfABBLNSWb+Ari9sBAAWnutorh7pyZ9Md2Ocuzb584ptWLDUlrq7e5miu3QMF3gFXTK0hhAjJkhdCOHu198+KpSZyh7q/63vfbX/LRUINyCF5kMAzgDDRhyaPmNHYoJ3KRrmS0GokCm5zKTGGZcmL3I4iEvJVIVFwUu3NtSb+qviKuOL7PhX+wm0fDPUUlfMvD59XTg6fV04KIpR0jSqaQq+8b/g1Y+dyS1RRU5DnJFtR4nY2t2Sn07N2SXrWSqVmqKZlSNBfwwX8Nbnusw9bydT02/E9u0ShAk/CiC8OQkwE7HRFtLnp08yyNHV28kRgy57/TlUlARE6w+iVqyq4QHCVZ82GjyDCS1pictjKZuYRL7ptVYlTXcvo0dnzhXr5XAlqGioWpG8BAICzsuGm5U02QkYqPkptU7N1JUlkVxgwZkvFleuzIxceM5KFt0Ngn7uUeF0lxOcpo5dMUG3bhDwn6yNTx/XBsYMk6K+WWlfto5qehQLvwD53KXgH+xf/MwIx5rFTDgCbmtZiYoxmlRhXEWmzE5kZpfviY0J12bqCy9wYY8gp+xkDTBueOgZsakKCOLVn6DlrKTHm3Lb2w1xpUTPkOPFapbCMUuq//5YYAABAjhNTj778ZwwwxoUDdfLaprtI0FfFLMuAHBEL9V6iqp6x82oSe10RobZ8PTMtDcmiR17XfLcxPtut9Y6+tGztS01WoKgFKKWAMttOpKeV7r7HSMBTjp1yIH/iws+opuchxsScXegDAACueDn2GoDLt38JdeUbpbZVtwCMOWNs6kj2tbPflzub7nDuWPsR7cLIi2JjzS47nY3y5ZFWx+aO9xkTs2eSDz/7WWspOXHpQcZ0Q2GanqMI4tSjB75Is/mYa/eGj+ePnP2htZQY99y69TNIEtxgOcL08gtjBhijzMZBb4VzW+eHzGhsiCpamummol0Yfp6vLluHPY4iOeCpwH53+dUqVN4skONE5JB8zLINMxofZrqR5yuKO8z5pQGaVxIk5K8BK1G/b5w/o1Qzco4NrQ9gtzNkLSUntaGJw3YqO4ccks+zd9OnueJgA7CpRULequudGxJ4h53ORYFNLSuRnjbnlwa4SLCeKmrSTmWjkCOiUF+xCWLCQ4GTLyemvG6yFEmiB2LE6eMzp4FlG5AjotY3csCMxofkzsbb+cqSNZAjIsQIX81EkFFKPbdujQPKbChwcua5I19jjFGykqKFA54KZpgaJISHGL1hTsgh+0nQV01zStxaSo7bqewcCSyXvRZaun6Dd57KKlJrU0CXonQmOm/P7tgh7KutJavXr+e35fMsFwiikK4zPZ9nWdMAxuSkNRqP06XubvNYPG4vtrZyXekUTdTVk9XFJbhicLlF6wZvAzYwczFr9ikJOWstZqYTdP5AlqYu2MB6xxbW7wQQIw5CiKlm5LIvHvu6cm7waaZqaRLyVbn2bPgtcXX1DgAAZJZtXPfB3nIghG0tJkYTP3jikyQcrHft6HrIsbn9vQAAqF0cfRlgTKTW+n1Q4IljY9t95lT0PITwB1fbMNg5JelY1/KI1Fp3s7y26Y780fM/1gbGD+njM6f5ypI18tqmO+W1jXfSTH4xf+zcw3YqO+fat/l3+JKiRi7kry4k2fb10JySoNl8jC+PtLr3bPhv+eM9P4U8EfnySJtybvBppulZZtmmuLp6O1cSauTCgbrlQPE3t+mBCKLlyipOdi4LbB35Y+cftpYS484daz+CPa5i9cLwC2zFQBd7XW+pwMOFA7Wu3ev3yV1Nd2OPM2wns3Mk6K0kRf4aY2ahz5yO9tiZ/BJACBG/p4IEPRXMsnTnjrW/wUxbNybnziJZ9IJNbQ9gr6uEpnPR+Pef+KSdzkWBZekryY7BQuaCPc4wxJi3s0rMTmbmhJqyLjuRnhbrKxvdN238pDYwflA51fcLquoZuavpLrG+crM+PtutdF98/HrMtN8sECHovecmDgIAjOnoheTPXvhjc2ahFzAAxOba3a5d635zRcwCVDdyVzvEXQmueD/2e8rUvtEDyskLPwMY81zYXwMF3qGcHXhSuzj6ClXUJFda1Oy5fecfSWtW307zakLp7nvUzqnXFabALNsSG2ued27t/NBKIAuws/lY9pWT39IGJw5hhxyQ1zbd6djc/n5mU9OYmDu7/FnwVQl1FZsgwacLFUoBpTZVtFT6qYN/hd3OsLyu+R73rVs/Q4LeSn1k+pidSM+ILXU3EZ4r5WvK1rn2bPhE4kdP/x64woHd8vwtky8tOmDOLPTy5ZE2qaVur3Kq75HYP//8I1w4UCu1rbrVsbHtfoARUXtHXjSm5s/LHQ375bVNd2CXI7Tix/WOCDyYQE6UsbNildhasUpsHetTz8yMav2TA2rPOynuALAsaiNJPAh5ThLKy7qspdgoJESkup6FHCdjtyuCBNGVO3Xmh/rE5DFm229r3HxBAg/VtbQ2N32KUWpxXn+VlUlNW6nEhK0qceJ0R8K33vP1ZPfRf+Q8/gPMMlVmmRqj1IYIYYAxL5aUd4Vvuev3+FCkxUgsDROvv8pWlYSZjI0KRZHmbN+5n5rp5Fsigti6msa88A1Hef1uT33Hfa7KVXuNbHKSE30VVi49J/jDjRAhLj1y4Repge4fMUYL/mFBkui2Upk5vry4TT06+Gzu4Mlv8zXl66W2hluRyDvtTH7RiiUnpLVNd/BVpZ3IIfm1gfFD4IbAc11AgnnkkgPm/NKg1j/6CvF7ytVzg89oF0cP+O7b9xXIEeFym8E3DgSRUFu+wU7nFoTK4g5m24a1kBilip6Wmmv3kKJ1H8MBbzkAAACCBbA85lWryIy5xX6qG3kkCm4o8k5HZ+Mdjk3t77ViyYnsK6e+BSCAQm3FhqtvoP8dqhk5pugZHHEWMdPSckfP/di1c91HldN9j+YOdn8H8pwMEMLX06IFGLMBpTbAiJBIsJ4L+2uVc4NPr7SQrRIbq8uteHqKMUa54mADQJcvtYeEcJ7929Zhr6sYMEax11Xi3rfp01xJaDWwqCmsrt6hnOr9uTkfG/K95+a/tBPpmeRPX/gjczEx/oaxOCIwyzawSw669mz4BMSYA2PspFBZsgYgREgkuAo5JC+4kuGzZRk0k1ukOSWR/PmLn7diqUnIEVFqqtlFivw12uDEa+mnD/0Nckh+vjzSikTBBQCIF3S/CgRyREQOyWdMzffoQxOHccBTnj9+4SfG+Mxp/wfe/Q+QI8LlWvOoZmTtTH5Raqm9yc4Wx/XBidesWHKcqXqGiwRXCauqthpT0fNWPDUlr226kyuPtCGH5KV5NVXQvBBC/g++u8iYnDurj04dRw7J77p5428JlSWdVNOzkCOSGY0NKWf6n5DaG24DEOLlJLXLw1eWrJHWNOznK0s6AILIWoiP0pyaEOorNzu3dX4I+zylAAAAMOIgITwA4Krlx5faIaHAOyDPyVJz7R7Xjq6P2Fklljt4+l+AZRtic92ey1UE0byS0PpGXhRbVu2DhPBWKjNn59UEvGFe/5+KSASVTkxYI34fCobDuGRpiUbn5+2ZXI5lRketgUAAFUWjdNY0mFFcgsp0AxiKwvKMAeZyIY9hAG1unk4HQ6won7dy83N24d4gN/iVoIyaAIB/fqfn8Y6DEQEQAGDZhjEVPc9MU5XXt9zr3Nb5YVLkrwGWbQCeE8GbEXgAYMC2TSjyLrmz6Q733k2f4ssjbYwxylQtw1eXrcVeV8ml5x4zLd2YjvYUIoxoA+MHjenoBXF19Q7Hlo4H1bMDT8jrW94jrq7eif2eUqZqWSuRnsYBb7ljU/t7L3mrIbejqJDK5tdD82rCTucWsc9dSg1Tk9e33is11+y2EplZ4nOVIldxiK8sbocYcfrI1HGqaGnsdhYV6Kn4RiDCECGMPc6wc+e6jxozC33C6qrtrps2/BYAAKSeOPhlc3axj5mWDhAi2O0oeisOf5AoOKTW+n2Bj9z12yTgKV9JwbrAlUdaGWVW5pnDf6+cufgYs2xDqClbJ9RXbsFeVwQJK2nBDABjev587ui5H1lzS4NUM7KQJxKzbN3O5peooqWpbuSRwDmQeO1WaAAAwE45ACCAkCey5907P6ePTB1Tzg0+LTRUbcsdO/9jY3y2W1qzej9fWbKGCwfqIc/JWt/IS1Yi/fY8SyFAECECIIR2Khs155b6scdV7NrZ9ZDYUncz9rjCbOUwielG/mrrXa403Cx3NNwGMeaQQ/Q5NrW9F7td4dyRsz80ZxYuIFn0Oreu+QAXCa7iq0vXcsWh1RAjos/HBqzFxNibmb45s9BrZ/KLxOcuYaal6aPTJ2hWiWFZ8kGRd5BwoM6YnDuTffnkP1nx9Ezwobu/RfzuUrG5bk/u6LkfgQLT0JhlGwAjIlSVdLpv2fK7Ukv9XsgRgWp6jgS9lUJ16VrIE5kxRiHBnDE5f+5y6a1vmP9CfFTrHX7RvW/L77p2dH3ETmRmhLqKjVJHw34uElwFIIDGVLQHQACd29f+hlBVsgYAAKDIO5Eset7MPXsrQAig+II5OzuqDUgO5AxEuLKyOrGpc4f71h13+S9ePJk7lE1aMUNj6jsRvEBVLQMR+rmdSE5ypSUd2OEIIFnyUUVN2dlsNHfi1PesRHLynTiMLKyNhFIqBMPPSZW1O6mmponHV6lMjR3mPL6KxLFX/87duvb9vnVbPxncvvdPrVxmXl9a6LOV3BIWJR/nDVQLRcWtADBGjWUTVX1+5iyAEJnp5JSVTc9lL5772etNwH5VbEPPQ4SeVuYnjztKqrY4ymp3QAAQkZ1FSnTyRGas93E9vnCRWuZ19eyZ0diwkFcT6rmBpxilFmOMYq+7GBLMU1XPODa0P0A1LUO87lLl1IWfi811e668jbrBlVh+aMt+EvCUy1bzXeknX/2yMTl/Tu5sukNqb7iNKloKFCCgQAgRX1O2DntdETubj5mzixeZaarI5SiCDslrTC9cALOLfY4NrfctVxDgawo85vzSANONPOAwj33uEtfu9R9DkujBLkdQaq3fh5xyAPKcWGhaAzMMla6cauGAp0LqbLzDnI72qD1Dz0IEsXNLx/uwUwqstGgV9PBilFFGqU0Cngrvnbu/kH311LdIyFctrG+517Gx9X6lu/9xfXjyKM0pCRL0Va4YD74hwQIJnIOLBFdBCJG5mBjTBsZflbua74YI4vSLR76mXRx9mRmW6tyx9iHsc5emHnv5L65kEMwotbmiQKVrz8ZP4ICnwlpMjPkeuPWrECPCdDPPl4dbSNBXCa4ghlLdzJsL8RG+umQtYIwKqyq3cEFvpZXMzOkTc2f4ypI1wLYt9ezAE85d6z+OXXIQ/DoEHlnykqC3EtjUTD3xypeshcSovLHtfrGxepcVS01crjWPZnKLxtT8eXFV5RblxIWfqn2jB5BD8nHlkTbAqK2eufg4AwDIaxpvBxBCvjzSKtZXbIIIPncl87zXg33uUsAYtTP5JffezZ92buv8MA54y2leTWmDE68pp5ajQ+X2htuwUw4ww1KuuCBgjPFl4Va0e4OXZvMxMxobYrqRQ07Jh9yOkBmNDemT8+ecm9vftxKbKoBrCTwL8ZEV7yIeuRxB1851HyVBXxXyuCL+hqptyCkFoMDJUPzltitmmirkOJGEA/Xm9Px5riTUKK6u2UmCviqtb/ilQr8PN3jniUbp3JpOboOuA9XvR6HRUWtQEKBQUoLLPR7oE0UopdJG0rKAZRjAaG4i7aoKFIwB1jSmAgigotC8xwN9jz+mPazr7G3vt7/Bf3EuVQ1jRLjSoibHprYHxObaPfmj536k9Y0ekNob9rtv3foZZtkGswq3GwAALFcay6LHe+fuzzs3d7wfQAC1ocnD5uzCRexxhUk4UG+Mz3YjWfRKrfV7mW7kzMX4aCFDU0VLqecHn5Eaa3a59276lNRav9ecXezPHT7zfWN64QLN5BZJyF8jdzXdiRySj6paGhLMF9q6/nrsvJpcTtKCyNHVfJedzkZzR8//WO0Zep6qWkpqqtvDdCOfP37+YXNuacD/4Tu+jt2OUCGJSZdlxX+HqnpG6x971RibOcUMU0Wi4ModOfuv+RMXfook0QMw5iCEEDvlwIpgUnCy0X+EeN0R9y1bPuravf6/MdNSjan581wk2EBa6vdCkXfkDnV/V70w/Ly0ZvW7+fLiNuSSg3xFcTvkyLL4Z9mm1jfyYvJnL/6JOb80ABgAJOitIK5AEDtJAIASADDimEUNyPMy5PA1W6EBWA5zAABCppt5fXT6RO7w2R8gWfLZ6dyCUF3aJTXV7jYX4qPZF499XepouE3qWL3fmJo/dz1R778yKwdLSJY8UnPdTa7d6z8OGGOpR176UzuTX/DeufsLUnvDbVcTeCDGxLm9cw0JB2qBTS1m2cZy1Um0x5xZ6GW6kUcOycdMSyMBTwWSRe//PdCybYvZb+56qabnzJmFXqGyuINRaptzS/3a8NQxobp0rdhYs9OYnD2jnht8BkqiW+5svB37PeUAACBUl3atVMAUFncPAXBu6XjQdfPmT2GPM2zOLw0a09HzgDLKV5V0mvOxIapqabmjYT/kedmcXxooRDxglm2KjdXPObZ2fkhsqt0dDPqqzLnFfq1/7NXMc4e/Zi0mxpFT9otNtbuxSw4ww9SobiqQ4yS4fGD6jpBL28n4vDHlDXGRbMKMpWPWQnLJnHf7SKi4UqgrrxebJy6q51Ixa8EX4vrTcWvxrRZ6iN9fyZdEmpff9/leK5Weff2/M0opROiUMRfthQTzAEIEKKPMMrVC/Zd+HRRmsgwAMOKLQ2YiNuxu6/qgEVsYAAAAIVK6hg+Fm8xkfEyZGnvN3bzmfiFS2sG5feVIlgNUVRJIEN3a7NRJW1OTVNeyfCBUz2xL15eifXJl3Y7cYN+TZjL+phTVq7HygV8CADwGIXwckuUeX2oab7qkCxLMMVXPGtPRC1xxcBUkRKCZ3AJgjEKekyBCRCgua9BHp08ww1IhzzuuNy7zBgAAgnnslPwQIWxncgskElwl1JRvkNY07Mc+dwmzbRNyV/f/oKqeoXk1QXUjn/i35/7QWkyMcZFAvdyxej+jlOZeOfVtYzra49zc8SCgjEKCeYgL8M1ZrqRhEGOeZvOx1CMv/Sm3XPK4hzFGkVMOQAgRdkg+CCG81gkbM0wbpwH7AAAgAElEQVSF6UYOOyW/1FSzK3/8wk/V3pEXuJJQo2vX+o/x1aVdkBAe2NQqWAFmjAHGKBQF10rqVLPJGCNF/lpjfLY7d6j7u8jtKKJ5NYFEwUWWq5jeGFGKMYdk0csYo/rozAm1d+RFqW3VLcbsYj9ggInNtXsAhFDuar7TGJ/t1gYnDl3hehkzbR2KvEsfn+2GU/PnhfqKzYBSS5+Y65Za6/Zhjyssrq7eCTE6crmWH2ZZpnNT+whyOYKe23f+sdoz/Jw+MX9Waqu/hSsOrrLTuQXl9MVH7UxuQV7Xcq/QULUNADBY0P0qEMgRATlELwAQWqnsPF9Z2im11N8sr226C7kcAZhT45cTHu1MfknrH3tVrK/YLDRW7xTqKjYBDgvq2YEnjenYABQ4h6O94RahoXI7sKmNva5i1671Hzemoj0AgNnLTOV1c+IEqaW2DSCIxcbqHXYqG6W6qVhDk0fzJ3p+wjQjJzbX7hEbqrZhr6sYckRimp5jlv2GE0ymG4qdyS8CjLjUz1/8gjG3eJH4PeVyZ+O7ISFC/vDZH+hjM6fkzsbbmU0tgBEpRGhd/uwyCjAiTDdy6ScP/hVXFm6RWuv3Akpt5BB9EACIZMn3+pYvfXTqeP7k+Z+QkL+G6UbeSuXmjdmFXppTE/rY1Im3s5f5Br8ajz+mPowx/InLBT0+Hwo4HNApO6Dz1CnjCCGQIxgQhAACEMBEgsbGx6whhCEGDACbMtu2gJXNscyRw8qB+Xl61e/EDW7w64BZls4os5EouLx37vo89rjCxuxCH+R5h3NH10NcSagREswz2zKYed0CD4UcEYFNrcxLx79ONT2LnXIQEiJoQxOHrUPd34MCL7v3bfo0AMtmtdjjigAArhJMsDK0bdtifeVRO6cmkMg7tcGJw6lfvPQFYFOLKy1qdu7oekhqW7XPWkqMpx498EU7nVtwrG99D1cSaizo+f46aF5L0WxuEQAAqG7kU7848MX86b5fQIx557bOD0KeSKlHXvyCMbc0QHzuyPJaBYBCPRX/I8sVTRDqw1PHYv/0sw8Rv6fMdfOmT2ZfPfVtpfviY8yyTexyULCS0Is9zvCyEHL9Ag9ECJFIcJXvgVv+SF7XfA8khLfT2QUS8lVrfWMvQzxJHNs6P8QV+Ws9t+/8nD42c0rtGXrWuXXNB4FlG9rw5FF9aOoIFHln9sCJb1rx1CRXEmqU1zbfJbXU3cyVhpuQyDmNqeh59fzg0xAhAii1mE0LEiSgyDsBBEDpvvhY/sSFn4rNtXuk1vq9SBa92sD4weyB4/9oRuNDQn3FFrGxZhezLMNOZgsKmHlLYIwy09IYY1SoKe3iS0ONUBK9SvfFR4X6yk3Y6ype8ZwEVDfyV/LggTwnC3UVmwCESBuePBr/l0d/04olJwHChAt5q8Q1q98trK7eToK+SjuVmVfPDT7t2NzxfiBwsp3Kztvp/MKbmj+llj42c9q5peNBYFMLO+Wg+5bNv8MMS9X6x15FIu/y3LXnT4WqkjXIIfmtZHaOWbaBZNHDl0VaAQAXCnwdGzkkn3Kq9xE7m19EouBeNovOL6k9Q88x3VTkDS3vARgTiBEhfk85RBAWchhoTEbPWwvxEeJzl9jZfCz+gyc/ZWfyi9jnKnF0Nd8tr226E/KclDty7kfm7EIfX1HS4dja8YFCAjV+XeTSVhIh+HV/mCsNFHPlkQqh1u0nwdlxfRAhgDCBHCaQa9vs3FPXJq1bmjUnfUXcoUzCitkW+5ULRyDGxL19y52OtWvei2TJlztx6nuQkL8FlNoQr4g5EABIyKXPuA7AcuMpYAAgjhMBwTwSBCdgjNrZ3OLbVc1TsMDDGGNCUfH3pYqa7dQ0ckIo3KROjx/2rt30cT4QWgUAROrM5HHE8047n10QIqUd2f4Lj8pVtTszvWcf5kPL5mK5wd4nxPLqzeZw/9Ok1fuB/OEDf3U1757LATHhEFn2kaCGlqUrpyWYF12IF91wWa1HjFKLUdsistNmlNkAMMo5XE6AMA8R5iAmPISIUFPPGZnENduo7FRmnupGjhT5q7HXXYI9zrA+Nn1SbKzdjWTRK1SVrqWKljJmor1cRXGbPjJ17FIK0g0KB/GcDEXBaUZjw+q5waeN6WgPX1XSyQxLpXkthUTBhXjuqiarTNOzVFFTVNUzdiob9d6+83NcWbhFH548Zs4t9ZNwoFZYXb1DqCnrgjwnQYI4UIjAc2mOkugR6io2ymuXDRGV032PYb+njAS9VUDgZeSUAisnftcQeCyVqnqWakY2f6znYX10+oTUUnez2Fy7x4qnpgCjlIsE6hi9dgnmvw/KKKDLD5r8kbP/mj1w4pt8delaCCHKn7zwM6m1fp+wumo7QIgAjDgoCZcvv7RtkypaCgAAxIbKrXxlcQfiOQdfWdwBAADq+cFnpPaGW7HbGc5PnvsRU68Ycw4vtdSJq6t3kICnAgAA7HR2HmDELX9PqS011+7OPHv47wAAl43aNBcTozSnJrHTESABT7ljU9sD6tmBp9InL/wUCrwTe13F5vzigDY48Zrc1Xw3djseszP5ghZySOAl5JQDdjobvVKvNBJ4JxR4hz42c0o9P/iMtZgcE1ZVbKWqnmGqnsUO0Xe5BC9m2xZfHnnGubXzg3xFcbty8sLP8sd6HgYIEexxhvnq0i5qmFru8NkfQISJa9e6j4mt9Xu9d+3+AhfyLUfOX+YHARLM8eXFLY4NbfdTTc/qozMn+YpIu3ph+HlzdqEPMMCw31NK/J4ytWfoOarqWdeudb9pJdIzl2shYKap2Ll8HAm8w4qlJtx7N39aqC1fb0zMnjGmoj3Y6ypx3bTxt/mK4nYkCk6IEIGk8A0AEgWnUFO2Tmqt3wd4TlJ7Bp9FsuR13bzpk1AUXMvGhAgDAGwAALAS6Vkk8H8DCREYpTawbYPZtnk1z58b/L+LbTMKlk1hr8v/4AY3+H8BZlgqzSkJ7HYWWUvJCXN28aKdU+J2LDWpD4wfdO5a95uQ52VmUfNNVPBQY3qhRzk39IxrZ9dDrp3rPoYcks+cW+onRb5q0FC1DXJEJAFfJQDLv0VcJFAPCowWt+LJSWNitltsqt1NfO5iub1hv9hcu1tsrttzyYw2f6znYSuRnoEYc8y2LeSU/QW1wr/+MizL8D9wywKwqameHXhKH5k6Jq9tutNaiI9ogxOHrVhygiraL4lSbNmh7rqf6RBCKG9oJcubK8wLteXrnds6P6z2jrygD08d40rDTSTgjTPDiFux1BRjjGKfuxS75AAAoGDvTQCWN3ni6qqt3jv3fEFYVbGZmbauj0x1546c/aHWO/oScskBx7qWe4FlG1Y6t5B96fg3kMDL3rv3fBEgRNLPHv47Y3y2m6pahlmWTvyeUtdNGz4hNdfdBABg1lJi3JiY6eZKw83axbFX7Gw+DnlOooqaKnQPsWxUDSF2O4u8d+z6Y+x3lypn+p/UR6aP00xu0c4qMWFV5Rbfffu+RMKBWisaG6baFddsbzmMMubetzkGTEtnpmXoYzOnIceJdio7rw9NHoEYEbGhaisAADLDVK9UoYskwS3UlK0Dtm1pvSMvQkIEx4bW+6T2htuEmvL12OMMW4n0jHZx9GUo8A6hoWob5InETEs3pqLnqaZfNcr9ivO3qS211PUxSm0oCS55fcu9xtT8OUCZzZeFWwClNg76qmg2v5R67JW/gDzn8L3n5r+EPC/zNWVdAIAfF/I6dia/pJzs/bnYXLvbfdPG3+ZKw83WUnLcSqZnharStRAjjhT5ayBa/m5yJUWNACIEVtZNV70Gw8hr/WOviqurtyOH5BXqyjfy5ZE2aU3ju7hIoJ7mlHj66df+1pxbTtZjJVYj4nn5nRR4AABgpSJnBgAw43Dji7WtcteGm713AQjA8Ln8CX8RVzLRr54rqRFXl9YKq9u3uvaO96ln6lrlE/EFczYdsxbpmxSRAWPUjCfGqa5nmWUZQmXFBuxyRbDTEXLv3v57kBBxOSXLyDFKbUiIsGy0b+RXqtAl7PWUUkVNQY4I8Yd//nHwK1QQXg8Fb2gBAMCILfTHDz73p4Gdt/w5JJyYG7jwGBJEr7O+6TbEcxJgjCrjQy/JVfW7sv09jwDGQOrka/+T8wVrjdjiAHG6I7aqxAG1TUd1/U3GUrTXTCxdV4w4kV1FgbbNDwjeUD3ieWei98S3IYRHIcJc0Ya9f8C7/dUAYw5hItqGlkGEl6ip52xdSTLbNiHChPeG6qllqghj3lJzMcCYDQD4+LVe24qnpoX6yoPE7ykzxmdO2+ls1M7kYlxx6FueO3Z/nhQFaoFtW8yyDGspOab2DD5Lc8obKyNucFWQU/ZDCLE+On1C7R971bGu5R6+qqQz/fgrX3Lu6HpI7my8/ZopOoQIkOMkSBl1rG+5B3tdJcbk3DkrlhqnmpElYX8dF/bX2KlslGp6FiBMACzc10NsrN4uNtXsZJqRN+YWL0KMCAl6Ky9t8JFD9oMrGe6+DkYp9b/vtjTNKXFqmKr33pv/Ul7Xci9N56K2qqURIQJAiFxPWSkzLY0ZpmKnsnPqhZEXAAPUsb7lXjurxLDbGRLqKjZa8fSUPjp9Qmqu3XOlhzdV9YzaP/aq3NV0F0AIm/NLg0w38tZSciJ74Pg3HJvXPCg21uyCeGV+VzhxIQFPOXJIPogQZoappJ549Uvm7OJFJPAOrjzcYs4t9bt2dn2UBL1VpMhXA65w0mFFY8N2Ij0tNtXu5kqLmtTzA8/Y2XzMzioxaFgqJJhnFjW0vpEDjnXNd/v+D3vvHWfXVV+L73L6ObffO733PprRaEa9S5Yly92yscEUGwwhJOQRArzkhRQSCCGBhPeS/IBQTLMp7kWyLVmyJKuX0UjTe2+3l9P3fn/ckX/YVpmRjUMeXv/4Y+lqn33OPefc7157fdfac9NXhcqiH+r9Yyeu1QKKZNHl2LbyE2Jd+fbwL/Z9CbwlnQ8AACCCUGqp80IIkdY1dFDvHzuurF/+UTbDWxp5Yv9fuXau/ZxQVbzhahHtxth0h+feHc+6svwVfHnhaibgLcZuR47WNXTQjiVmzKm5HsgygmNz2yNQ4BQIIVTWNX+EzQ5UJl4//1MuL/OoFYyOAds2kUPyMwFviWv3xo1Sc/WtSBY91nxkRKgt3WIMTZyx5sPD1lx4mCvKaWIzvGWxl459W+8bft1917a/ppZtmFPzV5T0QoxZxHESZFlBbKq6hc32V5jj0xfNmVA/UbUo43MXspneUpJUwySZCi8kmCz6N4Qrzm3xfeyO71LLMsyp+W5g23bal4BTFr4H71u9dYhupAAAv1dmrr/P4DjIZWbhnOxslGcawOjttS4lk+SGCvL38T7eTVDT0u1oYhqyrBB56tW/1XqGDgMAAJZEl2Pbyj/kywvX2PHELLAsg1qLU128MTallGh6gvG5ChybWj+BZMFjTgd7zen5PmN48mzab650M0q3HgMocDKb5S9f7Ph2LDVnjEydF2rLtsorG+6TWuvuIfHUvBWOTZgTM50kpUe9D+z6JnLKGXChFW3Bv+2Kv2fXPFYkPpVONXLmuO7Y8lfYIfvUC737qE1MsaH8JvfuDcgKRkeRKJx74x/dqAdPmudBfHnBKv8j9/w4eeTcj6hhat4P7PxHrjhnuT44cSr0k+c+a82GBqhhqtjlyEROJXNJB2AYVlpWudN9701fZbP8FebUXE/81VPfSR678Jgdjc9wuRnVnj3bv4qdSkb4Vy//r+Tx9p9jtzPHc/e2v0WS4DFGp9vFurJtzq1tnwYYM3YkNsX43AUAQpg80fHL5LH2n1HdSHru3/lPet/o68lTF3+trG16EPGsbE7Odllz4eHFzBOlDbGB3Fa/R+3oeyl+4OR3uJyM6oX/38cVsI3uPdv/ns1ItzYBAOFCwMZ7BhJLzhHDVI3B8ZPB7z/1iJ1IhSCEkCvMbnTfue1vIMMIVNPj1LQ0QK8c/IG9rlzscmQBhLDUXHO7sr7lY0zAUwwxYighth1NzhJVjzEBTxH2uvLZLF85RAhTy9DN6fl3lL6YTkTTwtgh+QHHikiRfNqlgf3GyNQ5Ni+jjgnHJmJ7j36Lmpbm/eAt34I8JwMIEZvtr1rsMahuJCHLCI71yz/Gl+a3WaHouDUXGtT7x04QTY/zxbktXFnByssb0mxuoBqkU7Wu/wzZxNb7x45Rm1hcXmZdxmfu/yVR9ZgVjk3q/WPH7Vhi1rFpxcfZ/Kx6uHBvUErpf2WL1mVgDHFemVC98Q7vpswCvlRyIOd4v9ZJCbD9OWy+J4PJFiQsE0LJ1JDeW7VcXlO3StncdTpx+OXHgt8FN1hHUkIIdjpOmFUV2/migjYEZR92KplYUQKAAqD1Dx6EHCdT01SpYahIEBzUNFXsduXZ8cQsdjqzSTIVJJoW5YsLVwME3zP/yCURPJQQghjmVXTitW8565o/4Kxr/gDR1DCAAOizUxeUyrrbYhfP/dxKxKYhRJgYWgwyrEhtS6emqWJZySSmqVFCLKmkctv8/ue+SHTtyqaqVwHncOdL2UWrtOB0J7b4FOf0Fqemho8BhBgxI685NT1ywtbVCCM5sqxUYob3+MsBRNhMRCdYhyffSsamAYTITMameHegwoxHxgR/dt1ij6/3jRx7659ZM/N94cde+DwT8BZDhLAdiU+TZCpIVD3+fhvB0oEckh9AANmcjGrvvTu+ZgUjo7EXj/wziSfnIc+KgMEskgXXtVJ0EM/JUOSdNJaYie17/V8hRgwSBdeCW/8nIMeKWtfgQexx5i70mS82lwsAAIA5OdcdfebgV61wbAIroleoKd3CZvnLSSI1j3iuACmSd7EjkpQWRQ45w7V7wxcBobZ6rvtZ5JQD6vmeF6hpae47t3x5MSZqb4ynGXE7qYbgTLDfGBo/AwVOVi/07TNngv1sdqDCGJ+5qLb3vOi6ffNfQI6V2Exf2ZUknpQQIpQVdFvh2ARJqCGqGwl9YOyEHY5NcsV5LcgpB8ypuR42J1AlVBSuSQa8xRDjPkCJDTDDIYl3cbmZtZ77d32O8bnziWGm4gdO/IcxPnNRrC+/SVnZcB/kOdkYm+7QekeOiPXlO4Sq4g0Q464rETJ2Uo04t658mivJW2GMTJ6NPHvoq3Y4PsmX5bdJTdW3Jo6e+zEgxJaaq3cjSfSIy6p2CZVF6/T+sWNSY+UvzNnQACDEvkxEQY4VufzMev9Dd9zFlxWsQorkU1YvewBCeObtzy1El4trvji3hb3/5m+YE7Od0RcP/xMwbR2yjAAZzF3LjC559NyjYkP5dq4gu5EkUsHYC4e/YYXjE9Q0NaRIPrGubBtkMJ86denXVDdS4rLKnXxl0TquIHuZHU3MEE2PX5byQ4FTkCi4kCS4gG2bAAKotve+mDp96UnIsaLc1rDHnJnvizz96t9S3UjKq5sekFvr7rGC0TFjcPxtBBYAAECWEZEieklSDScOnf5+4uCp70GBV/jygtXK2uYPY6eSoXUOHECy6IEsKyzc3Yt+aqy50FD0qVf/1pwLDyGBU4Sq4o1MwFtsJ1LzjMDJWElHiy52vPfx/w4kCUkbNnI7PnC/mOV0IveyJrY1EiHhn/9U/S7G8Pj2m/jbW1ZwazSVpjo6zDP7X9GfN0363nlH3AAQx0nY5cpNE+DEopoWsxOJ2fdrgncGJAgO59q1f8gX5LeSVCoYP3b8O9rIyMnf9nGpZel2PDmHva48Ek/OQYwZNi+z1vPAzs+wAW9J9KkDfyM1V98GMMKXW4IWDQIINUzVjMSn5/7Pz+9L+/jYBnbKGWJz9a1cbmaNFYyMqu09L8it9fdAlhEue3wscu6msqbpAlG1KBJ4R+SJV76s948egwLvZDO9pXxJfqsdS8xq3YOHAIBAbKraDSBEkOMW5SX4m7Ai8Slq2YbYULHDnJrr1joHDiBJcCGRd0KG4fmKwjUkpUUic6Hh9OQovRFfFEoplVvrLQDS9R6wicVk+ysBACB5suOXdiI5jwTeCQixzZlgH0lpEcbjzGUzfKWQYThqXd9oGTKYVVYve8B955YvY68r3xiaOB16bO8X9L7RY9SyDDbbX+7Zc9PfII6Twj9/8c/UzsH91LJMobI4g8n0lSFJcPM8J+kD4ycTh05/n6h6TNnY8jCbHajSOgf3W3PhIdetG/8c8ZyEPc5c7HJkBz55z6PIIQcoANQKRkatUHRsUReEwRyAAFozocHoMwf/nvG7C4lpqnrnwAHsceaIDeU7EodO/ye1qe26Zf2fAYwYyC2dwHsnsBOpIDUtjaS0KDXMFBIFh9Rat8OxqfUTdiwxE3nylb/y3LP976hl61dT8DAuRzbAiIEIYa44d/nl1iWta/BVY2z6AlH1OBI4RWysuJnNyagh8eQ8cjkyaTqdaknrzbciPXc1AhDE0ecO/YN6vud5pEg+ZW3Tg9S2jdhLx77N5WfVO7as/BST6S2jupGEAu/ADtm/qOAMSik1LNVOqMHQL176n5DBHDXMFORYSagp3STVl22jupFKnbr4a3n1sgewLHoYv6dosWsNmvZYHLXmQkNMpq80dabzqfhLx74NeVbGbkc2V5jTDCilWtfgQWt6vk9sqr6V8TizEceK10tM/W0BMxAHcrjCzXf7Nlcsk1ZaJjVmxvUhXWWSuSVCVWWzvGZ8QO8a6kydK62Tlvuy2DzbplZo1px0ehj/cJfWbhp0qab3bwKJJ2YTJ07/kPX7SoluJJAs+4iuJ8y5+T42K7OWWpaGJcl7WblpRaLjbGZmFZsRqLDjiVnG7yuBCGGkyAG4pJXmO8OSCB4AACCWZUDM/MqKRkZdzaseEXLzWwCl1IrHpmw1FcaC4FZHBg7JpVU74t0dT8plVTcl+7v3cv6MGixKXqmofDOAEMUunH40MdC9d8nFDoSIVVw5rOLKI4YWS00NH6OEEMRywEzFpolpJBjZmc2ISoBV3LnE1OOMKPuMaHCQc3iLGEHyWanELO/ylWBedLEO92pqL15Oy3hcuXxZwSoAAFEv9r1MVC2+sDCeBgBMI1Fw8OWFq7GneL0djIxCjF59v6VgacCK5AcAQr40r1UfHD+ldvS9JK9suE+oKd3EZvkrAAAQyZJvYTF4lT5dRkICp1CbWCSenBObqm5xbG77JFZELyXEZgKeYkmoctiJy4k89HI3+KJgR+MzxvhMB1+a3+bY0vYpahgprXfkdU7VYozPXYCVNEm1mLGoaakAUKq2975ozUdG5JX19yKeUxi/u0CsK9+ORN612D5sANLFnPeBnSFclr+SyQlUGsOT5yFCj/FlBasYv7s4dbbraXl14/1SY8UuyHOS2Fy9Wx8YP4EdUg9JapHfJM3M6fleOxSb4MsLVlnz4WE7HJtkcwJV1LKNyBOvfFkoL1jtvnv7V/iKwjXeB3Z+U+0cPEBNS8MLxoJsfma9NRMaSJ3vfo4vzW+TVzbc65DETwqVResAgtgYm+4wxmcuGoPjJ5HIuxwbVzxMVCPO5WQct5OpMNWMxIKKAwAAQPLkxV/wlUXrxPry7Y7NrY8AQm15Rd3dVjAyKswVDsKaks0AQBh54pUvk6Qacu5Y8yfy6mUflFrr9pCUFqGWpQOLmAACAAXeQVJqRO8fOx7bd/Rf5FWNH+Ari9Yip5IBAHhzn3baoNEPQLpdTesaPGgFo2OOjSseFqqKNzAZvtL0Z2T/1fqhzen53thLr3/be9/N/wgopVY4NoEdsl+oKdksVBWvBwgx1kywHyCEhbrSLXYoNmFOzfcwPneBNR8eZjJ9pYzHmbvQuviCFYyMcHmZdXY0Ma2297xoheNTcmvd3WxOoEq92P8yINQWasu2MX53gVBVvAFJokd99dR3zPmrJBYyDA9FwUnjqXk7kZoXygvWODa3PcIEPMVUN5LY68wTm6pusaOJGYARkz7Dxb+/STw1b4xOtTPZgUrn9lV/BCBE+sDYCZJIzTM+VwGSJd/76Vi/f2BZyK5Zy63btUu4+/nntV8pCnIWFTFlg4NWbyADZbEs4KIRGjp7xng9IwPn7NkjfnQynaJ1RaLydwVcXl6ze8uWL0GWEaxwZJRaphZ66unPgusY+b+PawPxvIJE0Y0kyWPNB/uxw5EFMWbezaCOawFCiLDXlcdXFKyRVy+735ya7wn+5Nk/ZryuPDYvs9acmutZsqcMJTawiUlSWhQidJLJ9JUpqxvvF5dV7rJCsQn1Uv9+QIilrG3+8MIk0PV8CN8Kc2quhyTVMJIEN0AI8+WFa5w3rf5japgpfWjiTPJY+8+sYHRMbKzYCSFElAIKeUZc0nmABQWPZRsQIyby61e+nDrf/TxEiGH8nkImw1OcJpKGDlnh+GUvLQqWUN+8CYTYlFIKAQB2LDGbPNb+s9S57me5gqxG7FIyYy8e+Wc7kQqxGd5+klKjwOPMZbP9FZDFHLhGrDQAaWmQUFO6zn375r/EPnchAAAwAU8xEgUnoMTm8rNq3Xds+RKgAMRefv3bgMEsdsoBxu0gzh1rdyORdxrDk2djLx75J6176LW0KoVSAAHki3OXc8W5K9i8zHpzYvaS2tH3kjk11yOtqL9bbCi/Ke3HZJtWMDq22MSvyx6SakffPnM2OIBkwY29rjySVMOAEFvt6H+JL8xexpXktWKnHCApLYoE4b1uvaEAAApYhueKc5dLLbV38sW5y5PHLzyeOtP5tGPbqk8jRfJda0MTSoILIogpIbba0bcvtvfIN/WB8ZOQYyW+MHuZtLz6Nr40v42qejx+8NR3Ec/Jrt0bvggggIvy2bzW5AmxqWnpJJaYTb7e/jMuP7POuXP950lSDZvj0x2eu7f9LVeUsxxACFOnO5+05kKDzh1rPguFNzyzrknwUAootW2DmqYOADiPXUqG1FR9i7yq8X6AEKP3jbxuh2MTYmPFzYhP21RAlhHgItcaAABAEqmQOT3fy2T6yiCEGATU9YwAACAASURBVHudea5bN/05dsoBY2y6Q73Qt9eYnO1is/wVcCEVFnKsuNg2sHcbgRyu8PZPZPzZxKDeMzNuDLm8TKCkVmrWUiTZdyF16tKJxMHpEb3fsqh5fF/017nFfGXVcnnN9LDerzixhxBqE/sG27MWQCmlEMIzViw+xRfmt2GHkqkPDB22w+ERa3aux06pEchgDnKsBCGERNcT5uxcH1ZkPxIEZ9qLSXST6ZluYprviGxaCm7oZqe2ZQIAjjKKo0+prLvNvXz1p8S8otVE16JyefXN0XMn/pNxuHLTkn/eIRWWbsSS7BdyC9vsVGIufOK1f4l3dzy5GAb9rTBioeHQxeP/iRhWpIRY6uzEWQAAoMQ2kuMDhxhJyTDjkTEjMteHedENIGKMeHjUSiVm4yNdexlB9mFR9gNKKUQQQ4QYO6Uuyt0ccazg3LXxYcbryte6Bw9eKTEH8qzMFaf7Q9kMX6k5MXMJAPCuGJlBhuGE4sJVjM9XDBZ2zqlpqvrwyHErFB65FlkGEYLpt8fv/u4hWoh7tOOpOXNyrosvK1gl1pVu1fpGXzfHpjvk1csewMobi8ErFgaQYdg3DAIx5hivu2BBfUWRLHpSpzufNIYnzwlVxevZbH8loJQsJZUHcqzI+N1Fjk0rPkFVPW7OBvsRxwjY48qllNK02mORrLppalQz4pBlBLGh4mZrPjJizUdG+ZK8VibLVw7S/iNLKl7tUGwCO+SAVFe+HTL4EpsTKJdXNtxrzsz3y63190CMGKIZcSSJLqGiaK3/43d93wrHJlJnOp9CPPf9y6SKnUiFPHdvO8aX5bfZoeg4V5DdyJcXrEoev/A4YllRvdC3jy8vXM1meEsAhNC5deWnkSJ6IMuKlwsuO5acs+bCQ9qltPqDyUQsWOizhgzDWfORYSsYGVUv9O11377pf7l2rfs8iSfnAEjHyDs2tT6TfP38T4huqCSRDMb2Hv1nNstX5ty+5o/tUHRM7Rw4wBfntjBZvgrt0uABKxybNIYmTkvNNbchRfLpvSNHtP7R42yGt0Rqqb2TWpZhzYT6E0fP/UQfGDvBeFx5+tDEaeyQ/VJr/R6uIKsBAPDym79wCJEieQFIF7DmdKhfqCnZLFQWrVMvDbxiTs51ya119yCH5Fv43t92L1HLtpAk/JrPz25Q1jd/xPfgrd+25iMjWs/Q4fAv9n3JjiXnmIC3WG6tuxtQQKxgZARyrGRH49NWJDalD42fMifneqzZ0IA5Nd9DVC0GOU4ClBKhsmi99wM3f52almZH4tNyW/0e7HZma91Dr+l9I0fZTF+ZMTx5Jvl6+8+vds9AjJmFVCwAEWIZn7vAGJu+aAxPnEUOyad29O3TBydOc/lZ9a7d67+YfmauTLBecXyWEbDbke3Y0PIQINS2pue6IUbM5Z1o5JB8AMF3VIC9j/9+8PlQYM0afnNfn9VZW8sua2xkVyAEcHCezHk8yMcwkB0ctHo3F/M7x8ft4cOHjVfa2rh14Hec4AGUklTnpWchZnjG485nvL7i3/kf3/8GgAwjQASxOTV90YpGJyDD8O9FqwlkMIdlyYdk0eP90K5vUcPSEkfOPapd6n+FLy9Y7dy26jNMwFtiTs31LLXOWmhxptipBBxbV96nrF52P+N3F6V9+ABxbln5B1DgFGpaKjFMFS2EelxLxfxW2PHkPDVNFUIIGZ+7wJyc7SYpLUo0I44dckBcVnULEnknE/AUAQZzwLQ0dAMKHjsSn768k00ty2AzvCWOras+DRBEJJacwy45Q1nX/OHEa2d/mD55Sq9k+r8Y0HTdRuyUFo2+cPgbqTNdzyCRd0jLa+9IHmv/uT44fgqAtJ+bHUvO0hxazWT7KyHD8ACAxLXGRk4lw7G17Q+w310IIYRWKDquXujda45Ndcgr6u5SNrd9UusaeNWOJmaUdcs/Qk1Li+8/Ycor6++VltfcnjrX/VzkyQN/bc0EB37zfhAqCqeoYarIqWTEXjzyz4kj5x61Y4lZsbZsizk2fUHrHDjg/cCOrwOIEFySojVdb1JCbPdtm/6CK8ptNkYmz4nLKnexAW8xwIgBhNgAQgAZRkACb2O3I/tGrvuNIq3+TbcbcvlZDdb0fG/0ude+bscSs65d6z8vr2n6EECISdfiV36G0uQchNZ8ZCT63KGvk2Qq6NjS9im+OLflctR39NlDX7OD0THsdmR79tz0VYAQhggxSJF872T+EEIEMGKs+cgI43XluW/f/JfY68ozxqY7uOK8FUyGt4Salpo60/lUfP+Jf2dzAtVU1eOQwRwSF9HmRIgNCCWI50ShtnSL/6E7HuaK81ZQzUgYY1PtUlPVLTgd065Tw0pBhkmb/C6BuCKGmbLjqXkIIUQuRyaAEFPdSNpRSiDDcHxF4Vqhrmwb43MXpOvZ9Hpn4V58z1WzooId7gCbNTWs92UV8KWphBU9/Ez4Z33tqROxkDX3lsQsAwDQgTC85M1kcyeG9J7pEX1RaYPXA6WUijVVj5vT0536wNARKxgajs8Hhxbzb1mft1Csrd5FDDMFbHJD77obwTsqpq1EfBZi5ofq+PAxV8OKB6WSiu1CbmEb6/YWIV50uZraHgYQIqmobJMZCQ0lui88GW0/9QN9durSjUbVWanEHMQ4bVZFAaXEtgFIG5kihn0cQMQAmo4whxCiN374L5u4IYQhRBhAiCFK/3fBg+e6YPOy6pBTzoA8K+lD46eJqr2NjSWx5CxNqmGi6XEm4F298EJ5VwgexuPO99yy8+8BBBDYxIIsK1LbNozysk3hZ57/ArgCO4xE0cUX5K+Qm5syAaW23FivUZtY1DQ1kkjMWuHIGFHVyO8S8bOwkKbqua5nIcdKSBLdkade/UrqfPezYnXJJnllw31IElzXbOeAEEMIIWQZgc0JVEKBk9ncjGqtZ/iwerHvJYgQw5cWrJTa6u+FHCtSyzbAEoyMIcdJdjg2EfzBU59kczNr2ZxAFeN15hlj0x1slr8CO2TfEhQ8OjVMTR8YOx5/5fi/UcvWkcA53Hu2/x2T6SuDLMNfLVHgatD7Ro8RzYiLjRU3G6NT7cqGloewy5FFTVPVB8ZPCpWF68yJmUvUsnQ2y1+BnHKAlQSX0+PMUc91PQt+I648db77eWVt84PymqYPQYbh9d7hI2pH30vG6FQ79rny9Z7hw+FfvvTnVNXjXH5WvVBXtk1ua9ij9w4fQaLgIkk1rPUMH6aannDtXPs5aVnVLcbY9AWIEINcSqZYV7bdtWPNn0CeU+xoYkYfHD8JMeYZnzufK8huRJLgUjt69wEARimhFGJ0Nvrsoa957rv564hjRcbtyKGGqRpDE6f1ofFTjEvJtCPxKSscm6CWbehD42eM0al2xu3IMafne5PH2n+ePH7hMZJIhZS1zQ+yeZl1+tDEaWsuMowETubys+ohgq+8SYUDAcKK5KOUktSZzqewx5UHIIDhx/d9UescOCAtr7lNbq27502RnFcASWkxxuf+JyjyDrmt/l7IMaI5Pd9rzUdHucLsZWJd2TYAANCHJs7YwcgooJRCnpORwDv02dAgoNSWmqp3WwWRxvirJ7/D+F0FclvDHmVN04eQxLvMqfleyDKCMTRxJnVu/7N2LDGrrG16kAl4SqJPv/oVc3r+qsliEC08MxizbJa/HIq8g832lxtDk2dTJy/+ilJA+aKcZnnNsg9BgVcASUeULvaehCwrkJQWCf3s+c9xORlVbG5GDeN3F5oTMxfZnEAVViQfeF/B83uHhka2JTMT5ZSWYmcwSOZSKZoYGbEGIAQwEECZGANEKaDV1UyDINj9IyP2QHU10/BfPe/rASLEcLm5TYBQG/G8gri019T7eGeADOYYn6/UCoWHia7FAIQQvhcED8YsUiQvZDDH5WTU6MOTZxiPI8exqfURsbFihx1LzpF4YhYghCHGDFiKUsumNgWASs1Vu6Xmqt1WMDKm9QwdhiwrcnmZtfrQ+Cnt0sArVig64f3gLf+CMrzFl9uCAQCL2hGmqh6lZvp9jUTelTzW/rPk6+d/CgAAFEDABNxFUlP1bmVt04N4wRcNcuzSCZ54co7qZgoAALiC7EYAIGBz/JVUN1MwO1CFeFaOv3L8/9jR+HR6YuCGWrQAAAsL4rRKW+8bfR0iiKTm6lutqbketaPvpcvqeWrZpv9jd/SAyqJ1jN9TCAXOAQC4pnkxl5tRI9aVbYUIIQAASJ3teiZ1uvNJeWXDHsfWlX9IdCMBAISOTa2fMMZnLiaPX3hMWdv0oLSscpfa0f9S5Nev/KU5G3r7AhBCBACEJJac0zoHD9ixxIzYULHDuXXlp2P7jn7LCkXHiWGpSBJc2O3IWmxrzOUgDrm17m47lpi1o8lZOxgdM0en2lNnOp9CAq/wlUXruZK8FdQwU5DnFMbryltsAtO7ASSJXsgwPFI4HxR5hzk+c4kryW3hi3Nb2NzMOnN6vocvzWsDTJrEAVcKKTFtAwBKgWnpyuplD7D5mXV2JDGtD4weN6fme6lhpgChtriscpdjc+sjTIa3BEKIAMPwbLa/4h2dAMYsEjglNTx5FmDEaL0jR8yp+V4k8g5pRe1d1LQMY3jyHFYkv/cDO79BdD1JAaUQYRZyi1DDUWoDSgmbk1Hj2Nz6SUABTZ28+EtqWjqXn1VvR+JTqVOXfq1e6t/vumXDF6SmqlsgQhhynAyuQ1i+cQjL1qmablVDIu8yJ2Y7Z77xw52X36FQEt1iTckmZUPLQ5wiegGEALKM+F77NV2GqRPd5WMyHB7Gd/DJ0KPDXer5VMKOXUuVs/B3YxDC8Xdzbav19O3X+voPLjUlkSsuXMX4faWMx52vdfXsA++Rr+Q73i1dUPNchJj5c/7i2Z8L2XnNfEZ2A+N050KWFYmuxRO9l55Rh/pf1WcnL5AbUO28/ZhXVjMQy9QhQhZEmEmnaNnmVT1aMMNBXnQhhDkzFZtezHGZTF8ZMC3NjiVnGbczx5qae9tiiRJCnDvWsUyGr5TEk/Pv5oIFIswiSfQk2y8+wXo9RWpv334AAHBuWPfHSBTd4AoEj1BctNp7266vk5QWYbMya5DAO6hpqsQwUyQenzGmpi9GXzvyrwCA33oP+2KBZdELAIR8RdFa9ULv3sShM99HEu90bV/9R0JNySaAIAIsIyxGIcNm+coDn9zzE+x15lqz4SGSUEOQY8U0CafFjOHJM4zXmUtNS6fW4osMxLMy9jhz+bKClYAQoveNHktMzFxisvwVUkPFDiQK7sX2WlLD0qhl6ySRCtkLptxiQ8VasbZsK2QZAUAIlyr51kenzqdOXXzCsan1E+49N/29NR8eSbx2+vt2LDnn2NL6iBWMjpqTc912PDmPBN4R33/yP7DHkSM1V9/6VuNcc2KuU73Qu0/ZtOJhY2DsZPCHT/+BHYlPYa8rz7FxxcfNidlOxHGSGYpNGJOzXfLqZQ9AnlWYTF954sjZHyWPX3gcWLYhNlffqmxc8TCSRS+JJee44tzlSOSdzi1tnzIm57qiT7/6lYW+6WqtZ/hw9LlDX/U/cs+jgLxZKUJtYkMGPwN5TnbfvvkvhbqyrdZMsJ/qZtKOxKfsYHRMqCvb6ty++o+s+fAwtYklVpdsBAjC4PeeeFgfGj8FAERSY8XNRNPj0Wde/TskS14m21cBWVZgs/wVC94Db5i7QgghkkUPoBQIVcUbU+e6n9UuDexHTjng3Lnuc0JNySZ6Oer2OryeFYyMM27HX5iTs93yirq7PPfu+BpJqhFjbLo9cfTcj82puR7G7ykSa8u28BWFa0lCDRFdi7t2b/wSAABo3UOHYDw579yx9k/EhoodQmXhOpLUwvGDp/9Tbe99wZyY7bITyXk2w1vi2rn+T/ni3Jboc6/9Q6q95wVq29ctFLHHkev/+F3fxz5Xvh2OTVDNSAIMMYmngtSyDWNo/BQb8BSnfSIW/0MHOUbELiVLqC6pggLnMAbGTiSOnHsUO+VMoaZ0CxIFF0zLgN/H7xEaG9kVEALk9iDvM09rj41P2CM37xTu6u+zOsvLmRqE03WKLENHUxPbNjdHplNJuqhi9r8UEECsKAErGByydD0OWUa8Tqji+1gMIETUNFVqGqmF3WtuaQ56NwgGc0gRfdS0dK1n+LXU2c6nSUqLSk3VuxOvnfmheqH3Re8Hb/kWxIiBGHPgKmmQVwRGGDKY07qGDlGb2lxh9jLkkP3WfHgk+vxrX7cTqSCb6SsT68q2LsR8A8gy/IJKeVEED1G1GFW1KKWUIkX0UNPSSVINI1l0i40VO5W1zR9i/O4iY2jijCAKLshgFvJLJ3iAZen2QvKTtKLurvjB098Nfu+JjyNJcHGFOU3G5FyXMTh2ErscWelFI6VLqb3efFKUUJvYAEIEGczxVcUbkMg7E4fP/ojqZgqyDI8kwYV4XpFaanoBoQQJnMIGvEUAgOGrDQsxZpw3r2lBYtpTjxJK5FWNHxDryrZijysPYsjQYFSXW+vuThw++8Pk8QuPS611d0vLa24zJ2Y6I0+88uUrkjtg4XtLdw8gyLGStKxyl/vOrX+dPNnxSysYHVM2tDyEeFaCECLsceVhjzMXADB6vUthxxKzgFKidQ0djO07+q/WfGSYpNQIEgWXuKxyl9RSeweJJWZjLxz+hlBdsknZuOJhNttfuWCgG7ve+O8GsCx6IIt5OxqfTp3pfErrHn4Ne5x51LDU0E+f/yzEiA186t6fIpa9TCi8re61QpFxatkGmxOoYnICldZceNiaCw8hnpOxU8mghpli/O5Crii32QpFx7TOgQPisqpd2OPMZfOyGpAsukhSvSEvHiQJbiSKLr1v5HW9b+R1O5qYcW5f9Rl5ZcN9WJF8djw5J1QWrSMpNRLbf+LfjOHJ8977d34DyaL7Sh0fbwOECDCYs4Lhkfirp77DF+cuZ3zuQjuRCsYPn/mhNRsawi5HplBZvI7J9JWlJwUxWspzalqGHUvOUUIsJPIKxIixo4lZyDI8X1awUlm//KNCecFqc3Ku25JFDxPwFEOOlf6rNt9Cs+bkj/9h8guDl9QzWsq+IjHi9rMZq29239PbnjzRfyH1hrL33RYuLHAPb+MfIIQQpBWVGEAI0xvyFECGFdjMjEqlrWUd4nkHEt9bn8l3TQ6/QPScgwi1Q5aVEMMKYCGqnOh6gtrvnNi5HhBmOHdl8x4xM38FJcQKXzz+XQBA91s/xyqu7EDL5odZp7cQAArmzrz6dbCYuElCbMixIiDEhpLggvybF4EAAIBEweG+c1vh5XYEePrir9+t86PEtqhpaUrzsvvsWGyaDQQquNzsBtbrKYQ8d0X5HzVN1Y7FpyP7D37dtXHdZ0kyFUycPvMTJEoe16YNnxNKS9bHT5z8wbs1x3cDSBbdAEHEeJ15Yl3ZVqmpajfRjIR6offFxNHzP3UIvOMN4uM6gBwnAYyY1MmLv9K6hw6Z0/N9RNVjVNMTlFALu53ZlFTuopqRuFJ09NWAPc5cz707/oGktIgxNHFabK7araxr+jDj9xQiSXDbiVRwsQlD1LZNatlGumUJM2zAWyI2V9cnjp77MZJEt9RSe+fVEqquOqZhaozf/S+QYwWxvnyHOTHbSXQz6dy57nNcYfYy6/DZH6bO9zwvVBWtT53ufCpx5OyPnDvW/A+IEfvW60o1PZF4/fxPhZqSTVDknXxpfivR9IRjS9snxbqybcbo9AVjZOoc9jpzPXdv+4pYV7ZV7x87Hn3xyDeN4cmz2CH5peaaWx3bV32GJNWwOTXXw5XmtWJZ8qbae17g8rPqtQu9e9ksf4VYV7Ytebzj8fi+1/8FslhAkuA2gpER+pa+VWrZJmSZx6zZ0KDrlg1f4IpymvnywjVWKDphzYWHSCIVDP34mc9YkfiUtLzmDmlZ5c7wL1/6c71/9DgUeIfUUnM7kgSXHYlPC7WlW0hSi0CWFSghNtGMBIDgzUQDBBBJghsihLDfUyg2Ve+WVzV+gCRSIbW994Xk0fM/QZLgTkeVXl+5ZUXi04hj/3fyRMcvuLzMOrG+4iY2J1Dl3LbqM1DkHZBjRWsmOGCOzXSw+Zl1XH5mvRWJTxpDE6fVjr6XSTw5xxZkNwJAQfLkxV8lj57/ibawg8lm+Sscm1s/wVcXb7LDsfHQYy9+Xh8YP7nYIhqyDA95Vkqd7XpW7x4+ZEzMdBJVi1LNSFDbNiHHSlJL7Z3UMFJUN9XFjAkAANipZLjv2vY31DBVvX/0mFBfvl1e2Xgf9jrzsEvJJEk1ApilxfK+j//+8HqRv6SUqbBMagaDZI7YwJ6csEcFAUoAAogggFXVTIMkIyUWJZHWVm5dV5d54b963tcDMcyUOTPbDSBEVig4BFlGBAs+bzBdBP7esD1YEt3Y6commha3Y7HJxbYVXREUEMhyIuQ4mcvMqjFnZ6+qSnw3gYSF93IkPhU/cPL/YzO9ZXxJXmvi6Pmfap0D+7mi7GbscebZ4dh4WoGweGCHHHDt3vgl7HZkc3mZ9XYwOmpMzFxCHCtKbfV72JxAFRvwllw22AcAAMBgHi7hfUltYvs+ctslvrJoHRR4J0AIswXZDe5bN/5PobZ0izk+cyn02N4/I/HkPHLIfr44twUJNxCPTAElidQ8AADY0fg0NU0duZQs7HJmqx19LxFVj2GnI5MrzmthA54iQAEF9g23aNmAUBs7ZL9j26o/tMOxifj+E/8OOVYUivNa5BW1d7EF2Y3JhY0TQIgFGYZn0l6OB686MIKYy8usXzgGMQbHTlqh6Ji0rOoWwDKCOTXXHfn1K39pBSOjJJqcRYrodaxf/lFgEyv+yol/Mydmu646NiE2oIAgh5ShrG16kCvJbYEsy3P52Q3yivq7sceRa8dTQexyZLEZnmIuL6sOLILgsSbnegClxApFJ8yp+R4kCS65reFeqaX2DiRwitY1dCh5quNX1LBUOxyfEmpLt3DFuS3Y5cgE7wHBAzFmPPdscwMAoXppYL96oW+vUFe2nZqWFnli/1+Z0/N97ts3/y+AEIbc1et7czrYa0fiU0iRfNZ8eCS+/8S/a12DBwEAALscWVxBViPAmEkcPvNDOxgdxx5HDl9WsJLxuvK4/Mw6oSx/FYRw31LfvxAj7NjcVq/3jRy15iMjYmPlza6d6z7Pl+a3QpYRKCE2JdRWz1x6Mn7ozA/saGJarCvbhj3OHKpqMWpY16+VMGKVdc0fkZbX3M6X5a8EpqXrgxOnACGWUFm0jt244uNslq8cioLzDQ8ehPBC3bkoUEqpsqqxj6S0GORYCbAMj12ODM+dW/9EWll/LwAQxvce/ZbaNXjAuXXlp5X1zR9BAq8srV3w3UMqbscAAId/888wA7FtURshiHgRiXllQqEgI8WXxeWB97B1GyKEsNuVK1RX1rIZgQrG7cpFkuSlpqkCCBHj95UQVYvpA4OvSQ21ty3wB++JVxwA7yLBcxkLP9wJsEi52LsJIZDTEFix5Uux/o4nzFhoxFITV/XWQbzojg10PCVlFqxQ8so2gUUQPEQzEtRI59ozXleevHrZB7m8zCN2LDkLeVbCHleuvLKxlvF7irTe4cOAAkJ0492LeCXUopalAQjd+sjoCSsYHKS2ZQhlpRsgy17RDZ/atmEnk/MkmZw3JqcuWKHwMJeX24wVJQAwYqhl6VQ3fmd2QxHPiplffMgPAIBIFJxcflYDpZSY4zOXEM/JXG3pFibDW2KMTJ67ZgsUXTAcIrZFEqkgcsoBaUXd3b/5EcgyPJefWb/QXz22FJNG7FQCxthMB0mpYSbDW/rGYS1Lp6alQQTxggnida8txAhDlhGwx5lDCbWFhoodJJEKmWPTHWJT1a6F01myuZk1HxlDPPd5Y3jirLKh5SHXznWfgywjGJOzXeZscFBZ1/SgWFO6Wesefo3N9lfxxXnLLzPPvwlKKYUMPhZ5Yv9fuW7d+KXAH973GLWJddlQDCmST2wo34G9rjxpWdVOrXf4aOLIuR9jpxJw7lr3p2JNySbG685Pne16Nv7qye+Ys6EBsb58u/OmNZ/lywtWI4F3cKX5bVxuRrUxNn1RH544w+ZnNnCFOY1IFj1UN1NXMt1bMB88wrgd/cq65g9LKxvuk1c23KsPjp82BsaOG5NzPYACYM2GB6PPH/5HvXfkKHLKAWl57e1yS80dyKlkspneUmNk6hxkMIe9rvzkkXM/ju07+i2i6vE3fUc8p1zu38ay6MGy6KE2sYz0DqiXK8lbwXjd+UsxCSaGqYF04TYKAHgBO2SfUFO6WV5Zf69QVbyBy8+qR4rks8Oxiejeo/+cOn3pCZLSYkJN6WZlQ8tDwCZm6mzX09Z0sJ9ali6vqL1TqC3dKlQUrjbnwsPJI+ceTZ2+9KSdVMOLmQ9deGYAobadSAWRJLjEpqrdYlPV7jeuA4NZNjejFjIMb4Vi40vxUUOK6KUTlmHHEjNMwFvyxnEXyE2w0FK52PHex/8bGBq0eltbuXWDk/bY9puE215+WXsmHidRjCGWJSgHMnDWunXcVk2j6tioPWjZwA6FyNx7PU/IMByXk9PA5eYsw4qSYUejE/ro2Clzbq7nSso4yGCO6FrMGB8/y3h9JVQ3EkJJ8Vrn2jWV7u3b/K4NGxLG5GS7MTnZbieTb2sXQTwv80VFq7nMjGqAELbC4RErFB6xIpExoqphallXJGyxJHn5oqJVrN9XQgxTNSbGzxpT0xff+qxyOTkNYmXFNmDZBtG1mDkz06WNjJ7EihLg83KbsMudp4+NneILClqxLPvtZDKoj46eNKemOt66OOIyMirE6qqbIcuK5uxcj9rV9QIxTR2JglOqrtnluXnnGiTwToAxp/b2vSxVVY2b8/P9Vjg8uuT2HEqpFQ6PmrOz3VxWdt2CyuKKtQDjcmXzBfmtTCBQDmximTMzXfro6Ak7lbp2ms2VrqtD9kMIEeNxZHvuvelrVig64KzMigAAIABJREFUHn587xf1/rET2Cn7F+KaC0ksObtUA+TLSlZKCLFD0TGiGwmi6nESS8wstKxDfXjirN43+rq0vOZ2vjh3OWQYHiC8JEJcHxg74di44uNp3yIA5ZaaO6Xm6tsAg1mAMausarwfKZKXzc2oBRBCJC7dhJdSSkg8reAhqh5zbGj5mFBbttWcmLnIVxWuhQzDs7kZNXxJXitSJB+JJmZuvEWLEkCpjSTBraxe9sHYS6//q7yq8QHIsSJ2ygGxqeqW1OnOJxOvn/8pdjmyiKrFkCy62YW0rasBQgiRQ/YDAABV9Vj84OnvEU2PC1XFG4Cmx5PHLzxujs9c4ssLV8NSVmK8rnwmy1+h9428rrb3vngt8oCatg4osdMtf6I38drZH1DbNrmcjGrIMoJ6sf8lQCiRVtTeiZxKBl+a14o4dj8xzGuqZc2ZYB/RjCRXkNUgNVffKrXV7wGmpaXOdz+n9wwfZjK8pY7NbY+wWb7y+KEzP1DP9TzrvHnN/2CzfBUQwv7fNuGcVlOJHogRI9aWbuHLC1cnj194PPbC4W+QRCrElea1Sm31ewCCGPKcfLW2S5JUw1rX0EE2L7OWxJKzdjQ+LTZW7uRL8lZQm1jG2FS7HY5NYqeSyWZ4y4Tass1sdqAKgPTGrLy2+UF9cOIUuE6L3luBRMHJ+D2F5uRst2vHmj/hCrIbkSx6AEYs0fS42t77YuLIuUftSHxaqCnZJDZW7OTLCtoQx0pmPDVPtOuvsyCEUG6pvQNQSu2kGjLHZy5Sy9LtSHwaux3Z6c2C2LjWee4Am+WvkFc23AsQREutm4yx6Q4ST81jt5IFEcJcXma9Y3PrI1AS3NZsaJCvLFwj1JZuXiDLWCjwjqX4/LzbQAiirEK+tLhGXCZISNl+n1+87eMZ0u2fyMCUAppVwJVm5PMlwWlz4vqjvTuAGGGpvvZWuaXpfjY7qyZ59vwvtP7Bw1xB/nIuO6uOWpYOIUTAtnSpoe527HRmq51dLxDtzWuL3ybesy/s/5cwYRZizACEWIgwAxFiAIKYGEaSqKnQjb5kIMaMt6at2UxEx7EgeRNjvfstNRm60mfNRHTK17C6l1VcubauRnhvVs1ijmFNzfXYhdlNWJF9JJEKUcvSlfUrPoY9rlxjdPJ8WioYGgKEWGkVRzJoRxMz1x95kaCEAMsySTI5n2zveIKkUkGxpnoXAAAi/sr9/ViWfCSRnDOmpi6SZCokVlfeJJSUrFX7+g6k2juekJY13PW7FE0MGcxZs6FBiDBDDVOlhFgAQgQxYvnygjUAY8aanu/Te0eOXktxQ1QtYifVEBI4hcn0laWNyUwNWMRcUMzowLYtKxgdI6npsHax7+WrjXUFUIAgtuZCg6mzXU8jSfBgp5LBZHhLsNeZAzBiqU3MN3yfrjeYaelI4BTfg7f+b2rbJmQYHjCIhTC9k0E0I0FV7YZ2WIhuqBDjR9VLA/v5kvxWsaF8B5ubUa1saPkYG/CWQIFT5JX19wrVxRuxU8m0gpERYNO3kylpxcyvjNGpdr6icLVQXriGzcuoRbLkRbLodu5c9znIYB6yDM+X5K1gczKqAaE20Y2k1j30WvixfV80xqY7iKYnAAAAIvScNTXXI69e9kGppfZ2vji3GfKszBXlNLmcG75EEmoIsgxnh2MT1sx8P7XsqxY3ViQ+DVnmm8kznU+JdeXbpKaqW+RVjffLCCJqWho1LR0QYjs2tjwMGYbHHkcO5DkJEGKTpBYGAMLUhb59WufAAWN0+gJJvV2+CzFmzOn5XqobSbLQ4/2GLLy8YDXAmDUnZ7v0/tHjS1VbXYYdTwYhhL/SugYP8iV5K6QVtXcKlUXrIc/JckvtnWJ92XYk8A7G5y6EHCta4dgEX1G4FrKsQC1Lo7qRMqfme8KP7f2i1jd61I7EppaS4Ec1I27HknNIFt1MwFOMnUomNS0N2LZBbdukpm0A2zbtSHzSmg0NqOe6nlvC6VEAIbbD8YnksfafQ56VsFPJYPyeYrYgq+FyHCggSycy38d/bxw6ZLzU0MiuOHfOPF5dzTR+6g/kLxw/ZhycniYTFRVM7SOPyH+q61SjBNCpKXvc40X+c2fNE+/V/CDGDJedVefetvUOxu3OF8vLN9uJ5Lwdi04qK1o/qo+MHBdKip/VR8dO/ibpAllWxLISYDyeArGifDPkeYc+Pn6W6nqCLShYiZ3OLKGsdAMEAMq1td9NdXfvvbzJwLjduc716x5EguDGsuzDbne+OTfXCzHDY0UJUNNUudzcrxkTE28omZAgOITS0g3e22+7my8oWAEoBfro2EmhqGiVFYmM8wUFzxqTk+2X58gXFrRixZFpjI2dYrMya5Xm5Q/4br213XvLLneqq3uvWFmxzZyb6+Xzcpu5nJxGO5kKcjnZ9dFX9v89eEvKIJudXc+43HlETYXZjEClHY9NQ4ROyg0NNwklxWuxw5G1cFWAVFuz2woGBxVHy4e1waEjkGG+91byCSKEkCR5GJcrDzKMgF2uHKmmepc5M9PFBAK9EGMWYoYjppECAKK37vZjRfFLNTW3uDZtbODz81vYjMxqbWjwsNzYcI8Vjow42tpeUbu7X7RjsenF1pzIIfkBhBBgxFLT0mN7j36LJLWw3FJ7u+9jdzwo1pdvhwgxkGclJCzOb4natrFgMmyq7T0vxA+c/A87Ep8GCCK+NL9Naq7eDSDEycNnf6Re6NsLIERcflZ9muDB7FJTgahupACgFLKYBwDC5PGOx42J2UsQIYYrymmSmqp3I4fkRyLvAJQSJKVblJYESilZaNHiS/NaEcsIxvDEGSsYHbND0XE2J1CtrF72QZJIBZEseSkAN2yyDGgaAEJIND2OFcmr9YwctsPRCWX98o9qnQMHYi8d/VfIpFu1iGlpCGOO8bnyr+M9Ay+rIqhp6ZBnJbE0vw3ynGyHYhNCZfF6saZ0szE63a51Dx5ybGh5CGLMqhf69tqJt5O1V4M+OH4SEGLLrfX3pL1i0l5/2KVkQgZzEEIk1JRuib966rsAgGsuXhfU0d1CdekmJuAtTh5vfyx16tIT2OPKde3e8CU2L7OWqnpc7Rw4YAxNnCbx1Jyyrvkjcmv9PVrn4AEAwKLVuDcCyDICkkU3AAAghxxIHT73o9SJjl9ijyNHWb/8o8rapgfZdLITRLLkvdq6hOpGUm3veVFe1XAfV5Sz3Peh3d8mmh6z5iMjWtfgQXNs5iI1jBQT8Bbx5QWrmExvmR2JTwKWEbBTzpCaqm4xx6YvIIH/NtH0RW3AI54TpZaam6HAOdgsX5neP3bCnA72issqdhqTs13que5n7Xhyji/JbRVqy7ZwBdmN1DRVO5qYgX53ITVNnaSuHpFObduihNqUUmqOz1yKPn/46+bkbBcgxGL8niJpRd1djN9dqPUMH06e6PiFHYlPK6saPyCvbLh3IVFvSQTPG2srjFmAEGMMT56d/94TDy10nuRILbV3sFm+ciQJLgghQiLvWFSL2W8BvICE9bd79jStc940Maj1aCmSUFyMN7uIK4MQIkKoJTuxl9jUnhzS3xM1JwAAIFn2CVUVW+1EcpYMDIWAZetMwF9KVDVix+PTdiw+A2ig0k4k56hlGySVCqc6Lj1DDeM98d8B4F0ieCBCCIuSF/GCC7KchFhWhAwrIZYTIctKiOVkd8saBQmiGwuiGwmiG/G8E/GiC/OCE7KsqE2OnZl7+Zk/BQDcUG8khJgVs/JXxAYvPcO7/eW8N7MaXEOCSSklck7R6lDH8e+6XL6Sq33uN2HNhYasmdAAm5NZLdSVb4vtO/JNJIluOxyb0AfHTkKGEZAieightthQuTP06NOfvtJi8UZBCbGpbetcTnZbxsc+/CsAKF3oVYULJltvA1KUgJ1MBRmXK0dqbLib8XqKUp1dzwNKgVhffwfiOQf4HfK9sJNaFLLMQ5djOt9Qk6RzAN8o4qhNzGv5iRhj0x3Rp1/9CpJEjzkbHLDmwkN2ODZJkmqYmv+Xve8Oj+u4r51ye9kGYHdRFr03AiAB9ipKpCRKltVty5ad55LYThzHjpOXvDy3OMV5ieM0J07c5DhykSxZki1RJiWSIil2kAQBEL3Xxfbd2+/M+wMgLdkSSVGyHMc6H/B9+GMxd+7cvffOnDm/c2wdvCQSnVJ6zRJhN52LZg93f5vxe4ogywjSqtpbqO2a1HUtqhspa3jquDUxd95ZSo5fC2MPAAD6heGfAgAAV168GgmcAhDCYDmO0SC6mbZnFvv03pH919LWK2Fl0TABEZzUTvc9jmTBx5WEWtiiYD0TyqthAt4S7FPDgBDXno1eJNYrl92sKGZ6IUL92UNnvglZzGO/p5jJ95czBf4K7FVDiGdlwGCO5oykPRe9aAxPvugumx2/jDRaUfoNQAZ/Lnf03HfE1ppdTL6/nBLiGP2jB42B8UNgZdJHCXGvVl600rcBiNBw9sDJ/2Dy/eVcWWEb9qmFSBZ9UOQ9EEBEHdeklq27meyiG0/POEvJCXsxPkpNK3clBZebzMxH//m771gurbj0vYQv+bk81q/q+3UtWFlsRCGET+u9w/uZgkC52Fx9I1de1M6G8mqgwKuUEAdQSpk8b4Tk9KQ9tzRgDIy/oJ+9+JQ1MddNbceghLxmotyJxseSj+3/LPZ7ipzF+IgTTYw5idQsyeoxatnaS1PmKAAUXGPJF9GNVO7Yue8y+f5yAAEUW2p2UccxqOPa1LJy1vjMaXtmsY+kswtuOvemKzPewq8Wk5PO6IED5jMbN/I7MAZMKkUTRUU4ctfd4ntMkxqxGImOjTlD8ThZ8nqR//Bha380Sq7JN+/1AiKEuMLCZnlV2z1IFP3EtLJaX/9PACEO5DgZOa7FeL3Fypo170a84IEIPUtXiH0IILSXloaxogTdXC5GokvD1LZ1vrbmBgoANcYnXmT8vlKi60llzep3O+n0HADgNGJZwbt9+/uQKPi5wsLmlVJfykcia4hupABxbYh5D19SvBoAcB4AABDHSZ6NGz7IFARrrbn5HiQIHixJeVw41Ogkk9M0ag96Nqz/7eyp098GABwEAABAARXKStcC1zEhx8tQ4D1sONRkzc33AEJciBnOicfH9IsDe7miojZqWxrieZWvqNgEALhceo5YVhAbG5YFs45jYEUJQsxwy8mDcj5kWdHVtBiW5HwmP68SuMSxZmbPAgqo1NR4qz44sBcAcDnpBEII2cLCZqGycjO1rRybl1/NRUpWU8cx2YKCWrGx6TZAicuFQo3ENDPGxPiL4CWyU8Tzirxq1R6+NNIJAIDm9Ey3vbg4QEwre4mYFyorNzN+XyR95OhXAADXlqKqyPkAAniJwBebq28UakrXU0IJEnnPpUUW5FhpxdfkqnAWYsPEtHIQI6x19z9hTc6dE9vq9ygb2x6ALCPovcP7jIvjhyCEkKss6eSKCxqFuvLNACxvhkF8fSWtEGO8nFSaXWRBCHAVxR2IY6X0s0f/kQ3n1yrb1rwfsgyHJMH3mhungF7yElw21f/JJ5yl5AQSeVVorNzBFgcb0vuO/TPRjVTgHbf8P0Dp9cekU0oubaRpp/seTzz89B8Sw8yo27s+hGUxkPrJC3/DlRauEltrdzP5/nLEcxIEy2TDyn31isellLr2zGKf2FC5DalSvv/e3X8FEcRE0xNMgb8c8qyUPXjqa7kTFx7x3rLpE2xJqIkaVs6JxseuWgrNYA7AZaWvsqnjQaxKeW5GW7In587bC7EhohkpvqZ0PWNYWSDyHq403MoU+MvB1Qge3UhbE3Nn+cqSTmtittscmjyq7lj7IZznjRi9I8/lTlx4BBDiMMFAldBcfaPRN7Jf7x3eLzRW7eAqizsBAIde+wUAAAm8AlnMuRntFTfUL2HFD8kHwLJqF3vkoLyx7V3AdW3IsiISOPVSGdByouYrq6HpctrcKePi+CFpdcMdSBK86X3H/il3oucHTL6/nPF7irC/sIQtKqh3k5l58/mTX3WzWlyoLdsob2x/N+Q5xXPzpk+sVGL8mxNPzV6l35zYWLlF2dTxoJvRlnLHe77PhvJr2MKCOmt89oybzkWxVwkBjBgnnpommp40BseP5A53fwtKgi/vPbf9o5vKzrupzKuG7biJ9Iybzi6wRQUN5uDEC0bv8D6urKhd3tD2Lr68aLUxNH44vffoP5CcHmeDgSq+OrJO3rDqncsXAOLrVT5DBBGEEFHTypKclhAaKrdhn6dIPz/4tHbafsxz44bfZfJ9ZUgSvGDZOP5Nh6hgT3GlULc4bY77g2xhuJSvGjiTO7o0Z01589ggLyBxpEc7iRnIRmesiau3+MYAK0oIENchmp4Qqqu2IlUJIkHwWjOz55i8QAVkME8dx+QKw83m+MQxY2jpAJIk/8o4vilpZNd1wRDHSViUA3y4uEMsiqwpvPOBWkZSChAveJxseo66rs0HC5shw4gQMxx1HZNRPIWUEhdChJ1cZoG6xLYWZs4RCJEYDLcAQtyV6MLrAwQQ85Kf8wQqAADANfUEwgxL3F+UMUOEUMHqHXmUAqqU1d2I+Wt7iVFKKZKEp7FXCclrV90rr2t7pz2z0EuXXc8brOn5C3LLqndABnPppw78pTU+/YbWArrZ3FLi6Wc/iz1qGFBKsKIEAULYTafnzImpVzRJxqoa4stL1/GlkU4ky/naufOPUNs22GBBHVdS3O5mMwvgeuWxvySsLNZfF9xUdhEA8PdvQHdeBieWnIIQ/hlgMAshRNRxrdflJwCWk5XA8oT5DfNreiWs7FbZAIAoAOA5AMBzECGERN6DZDGAVDmP2rZBcld+Ua+cL1lpa2Dl9/r6tDwZughewSvrutpbnuy5b2SbAFwmXl6Tc/4bdLwBAMAA4lgBe9UwUqUCyHMSZBkRIoSIYWbdeGrKiaemr9uocgVuTk8CAP7ljej/y9pN55YAAJ+HDMNCBPGV7hneH6wt2nrH5xAvLu8cU+Lq81MnkwNnHnYt402Ttr6FNw+6TvWCAvxMXR3TXFPLNmbSJBUMosJ4jEQ9HugjBJBslqYVBarFxbj0maeNH5I3KfUFezxFfGlplx2PjSOGnXez2UXs9RQhnlc5T1EhdWxD6+t9EmCGV1avfpe9tDQMABgC4JI6g7iuriep45h2PDEhlJWtFSorNzmp1Kybzsznzp17hDqOyUdKO6Wmxtsgw1xgfL4itqCg1kmn5szJqZPYoxa6OW3Jnp/vJZaZZYOhBqG8fD3i+MubOnwk0ilUVW11M9lFxuctobZtZE+f+Q4SeJUtLGqFLCsa4xPHuMLCFojQ4WXS3DYhzyuQ42SsqmFqmmlrevqUHV0ahhwnO8nEFLUszRgfP6qaZgZizAJKqVBRvhGy7FPUXi4ZwT5vMVbUoJvNLlLbMYlhpK35uQuAUkKyuSXIcbI9O3vWHB9/kTquKVRWbBLr63ZZs7PnsMdTyIULmyGEo5eUNEhRCpT29vuxqgSJbetYUYOI51V9cuoUFw432ouL/UTXk24uF8OqElwxel9OgMGYlZqabqS2rbsrIRJMwF9GbcfgSyOdkOcUc3Bov7Ww0C/WVG+XV626ByL0lWt5h2NVyr8cz/zEgb+wJufOUdvRhYbKHUJt2QZ7drGfLSyogzwnoWskeIhh5YDjmhRCAUmi33/frr+SOhrfRh3XsiZmz2CPEuQrSzrddHaRyfeXC3Xlmy/7+2DEXq/xKeRYSV7beq/YXLWTr4x0WbOL/UbvyH4mzxsR6ss3Q5bhAIAIeeSC19w4peSSgscanz3jprLzfG3ZRnV75weYPG+pNTl/lgl4S7jSulsvRWJf77uL2o5BTVtzoRa3Jua6iWnluLKiNr4q0mXNLFwQ6iq2EMvSsN9TbI1Nn7QXYsPqjq4PQZYVVoIUXnkD1nFt7Uz/E8rWNf8LIoSdaHzMHJk6xpWEmulCfOSS74vn5k0flzqb74IIMWQlsv1K/YUMZpWta+pXUrwA0Yxk6smDf2lNzp1zU5l5JIk+qa1+T+7I2e8YF4b3efds/SPIMQJXXrwaAHDkimNh2jlrYu4stR2Tryju5CuK1yBFyrPGZ88AQlxrdPoEUqWCZa9HhicZbUnvvviU2FR9g/eWLX8o1FdQe2q+h+hm+lruB4gRZouCDYEHbv0YAAAwAe+nr0SWQIYRkCT6qOvaevfFp9L7jv2TG0/NQJ6V1O1dH3RT2XnIsQLyKCGsSPlXUqe56WxUXtP0n0JN6UbsU8PyhrZ3ic3VN2G/p8iJJsatibluN5VdpC6x2eJgk+D3lvBVJV2QZQQIIcSqnO+5edMf8NWRder2zh+YAxOH3awWA67rAAgBQIhBPCdxlcWdee+741ahtmwD9iphY3DiiGfXho9Rx7WobmYAIa41vdBrjkwf50oL2+Q1jXcYA+Mv5I6d/y41rKz/3l1/CSgl1uTcuZ/f5HwpiGUboU++VwdgWXyg7uj6kLKt8wNI5FVrauECxAzHVxSvdmLJKchzstBQuQ2ry/cmhAhBhnlNnl8/uygQ8TWl66U1TW8Xmqt2ApfYuWPnvwcQYsSm6p1IlQoAAGDlelzfMV4nGBZypTVCE8NBYeSCfmq0N3mmolFsO/ZM8lFKAb3x/rwPFlUIdRfPZI+ESrkqcI2E/esBhBAKNVX5jN9fhiKRNW46PZc9fuqbjM8bkTra7rXnF/rSzx/6ezeZmsZeT5Fn+5bfR2J2kS3IrzFHx44CAK64xnqj8JoIHogxwwcLW/I233i3XFl3E+sLlFNKCBZErz4zeZLLC9aZ0fleY2bqJJaVILHMDIQQaePDB3yr13/QmJvpZhRPobW00E8dxzAWZs5BhBksSgFjfrqbvh7zIUqJo2ej1LFyrDevipHUsFhYth4ifORSlPrKObBisKSNzw83U9e1iW1pxPzFuPNXA9GMNOK5f7fGZ06zJeFm7FGCkGMlIIl+nsG83jP4jDUxe9ZZSoy9lvKIazrF5YnM5Yc8vMSoEuK+mswYCbyXmlbWjsXHSC63RAwjzXi9xdS0Mtbs7HmsKPn0Og3uflOxMtb/I8Zs5UWeXPkd/RV35y28Clb8esbBFZI//rtjpTTkihN5IS/U6GvsfNCML/Qxkhp29WxUKizfYCzNngcAHHtzevoW3mxEo+6i14u+0NnFbV69ml3f3s6unZpyxwJ5qCAYQoWGwWgXLtjd//lt7SvJJLkmT6nXC4gx69229Z1ccUkHgADa8wt9SJbysqdOPeTmtCXG5414Nmz4bTYcbqKmlQMQQLG6ehtEaGTluQopoQRSYiOfHBFUNYQ93uLsyVMPOcnkFF9aupYvLVurXbjwmDE6eogvjXRiVQ1CjpORJOVhxzGJaWSQKHrjP/7xH5OcFgOUUsj0P63l5VVcWtxDhmF9N+7cAQAAjN9fCiCAyeee/6KbTExBlhW4kshqNhhscNPpOYARi1U1BACYBbaj20tLQ+b09Bk3nZ7jS0s7ES94zImJY04mM69fvPg0MYwUgBDpA4N7xerqHcAlDpOXV8n4fKUAgCGIMauuX7+LLcivobZtEE2L23PzF4hupCghhPH7j9vx2JgdXRqilqUBSgnJZaNIEH324uKAPTffy+bnV6+ci4N4Xla7Ou9xc9moHY0OYlUJMR5PYe7c+Udz588/yhUXr+LC4WZrevoMGw41OtGloRXCgwIAABsK1SsdHe8itpWjlq3zGLPm1PRpfXBwX+78+Ufl5ua3sYXhZg4hTCwrx5eVdukDA3sBAMNX+z5gVcoHEEA3mZnTe0f2IYn3qTes/TBfWdKZOXj6a8B1ncADe/4ecqyMxFcOvfiF7xiDOchzMiCEYJ9aiCTBq18Y/qkTT05Z43Pd9vzSIBsKVElrmu5kgoFKs3/soJvMzEpdzXcv2xtcH8GDPUrI97Ztf0pMW3MS6VlqWjnsUwup41rEsnVAKQUIQqxK+RAh9Jo2sSilJKfHL/0tr2u937Nrw+9BjpWIZqSk1Y1vt6cXLtiL8VGuvHg1oNS9XuNRYpgZktPj7kJsKPvC6W8Bl9hMwFMCWYYnupk2ByeOiK21u42+0eeyh05/Q9nc8SAAy2lIy4TdKxM8lFLKFYem3FhyEkmCN/fiuYfZcH6NPb80aM/Hhkk2F8M+NcwVB5vcdG4RCbyKRN7DloSaEcv8hLxCjDJWJL/c2bzLu3vjx5G07G2UPXj669kj3f8JAABCXflmdVvn+4lhZtjC/Frt3MBP3GR6lgnn1/JVJV2QwcyVSAJKCOHKik440cQoWxJqIZlcNLP/+FeMwYkj9tR8D9GMFBIFL9GMlD23NADASqS9bRtiS81NXHlRh9E7si93oucR7FVPuKnMK9pLQIQQ9iphaXXjes+ujR/jqyJrqW0b5uDEEYjRt19t3QNZzCNJ8FGXONb47BlrdOqk0Fi1Xd2x9ndIVovFHnrydz03rv+ovLHtAaRIeVezjtB7h/fpPUN7lU3t72EL/BXEIwfd5XJ9ngkGKp1YctKeXewjmdwSX1exma8sXuPGU1NEM1LYIxdgrxoWmqp38tWl60hOiztLyUl32RwcYq8Swl41jGUxAC+p6imgYnP1TgAAtKbmz+m9w/u0ExceQbLoU7eu+V9I5D3pZ1/8R3N48kXquo68ftU7pdUNb6OWY5iDE1ck5yBCKPwn71cAWCZfmVB+jTU2c8pNZuasmcU+a2K2G/GcLK6qvUWor9hiz0b7s8fOPey9dcunAAQQXKeSDyDEqDeu/yg1rCzRjZSbzi5iv6eYaHpixdrABgAAJIt+yL2yz+svGwwLOV5CsiAh5fCTiYctg+j5hWwkl3aTiUV7bn7CHK5ZJXcVVwr1C5PWm7KGgTyviE0NKwQ1ce3F6KDeP7CXL410Squa7wCEuFxx0So9nZl3lmKjkGNlJi9QwYZCDSvJh28KrpngQRwn+TrWv9fbse4DfEGo0YovDeszE8c1k59QAAAgAElEQVQZj6/EikUHrYXZc24uuwARZpEo+CDGrD41fsROxseVmsY9dio5acxOnsCKGoYAQsSLPmJZWcTxipWIjeZGBvZS59pTjH4BlLpWammEkdSgmYwNu4YW9zd2vVcKRdZ4KpsGAaUE8aIvr2VDAECIqGNr6ZELT7KeQKmZWhq5+gF+BmJaOlgmWq540/6ycS2mwG522Wg69fzBv1XWrH6ALytdawyPHNB6ep9gAv5yVCltfi1GqW/hLbyFt/BLAwWU2lZOmxs/hjlBTQ33PFa49W1/x3oCZRCiE5S+PrXcW/jvCYaBDKUgs++nxlOCAPeVlTFV4UJUzHGQj8dIdGDAuZDNkjc1DIALh5uEyqotl6p/+NLSrszx4/9hL8VGAQAAYnTRnJo+Hbhtzxf14eHn3Wx2Uaip3pE9c+a/AAA5gCBiPGrYXowOEt1IsQX51Ymnn/4/diw2BgAAfCQy5N2+7ZNIFP2UEMfN5qJYkgJOMjnlptNzSBIDkME84/eXS/X1u7W+/h8Tw0gT29YBAH2Xx87vL+MKi1pdTU+46YVZiBHL+H2lXDBYjwP+MiTwHiYvr5Lx+0vdVHLKHBs/CgCYJbZtAAAhEkQvFiWfUF6xMXPyxDetxcWfD5wgQlnZEaWt7X47kZhgJCnAhcONEKERJi+vTCgrW6cPDT3vpFIzjN8fsRYW+i/NTZxEYhLxfIwvKVnNBoN1xDDSbDjUyPh9EXN8/EU7ER8Xq6q2rkQiA8bni1AKqHFx4FmupKQdAAjMyalTmWPHvkpMMwcZZg4JvAfJch4SJT9UPWEnkZgElBKIMevdvv1WrChBaBopIEPsQgCNkZGDxDSzAIAslqRHQmtWvweWl280p6dPQYbh+bLStRDCkat58SBFzgMQQogxK62qveVSimL8Oz/+A2tqoUdqr7sVQAAQx4rXWqKFZNEPGcwRi+jW+Ozp5GP7P0stRwcQIqGmdL3nhrW/I7TU3EQ0Pamd6X8C2I7B11dsuZa2rwSiG6nkY899zp5Z7HWTmXmi6Qm+pmyjsr3zg9irhknOSGKPXAB5TkYS7wUAXDOpSimlYnN1BgAAhLqKLSSjLWX2H/9X6jiWuKruFpLT4/Hv7f3fECMs1FdsoS6xwVXG/tXPw0wTTU8iRczDipTnGMms3juyX+8d2Q9s15Q3tb8H8pyc2f/CV3DAG5E6Gm6HEEImz1fKloSaIUJjr0Zeudnckj2z2Ce21d2ibO540JpevOAmUjPOQmwIIMyoN6z9cPZw97eRyKv++3b/NZIEr7J59YMko0XZYGCvm9XjiGME7PeWcOVF7YEHb98hNFRuQ5LgA7ZjUZbhqetYXGlhq9Ref5u8ftU7sd9TBBFiKCG2MTRxNHu4+yHv7dv+RKgp2yg0VG6HGD9/pXm/Pb3Qmzt69r+8b9v+p24yM5994cy3nGh8FHKcLK1peru8tuU+rbv/CXs+NoQU0a9sbH8AcqxoTc33QJbh5XUt94ttdbeaQ5Mv+u/ceYoYZoY6rg0IsSmhBPGs7L9/dzEXCbdwpeFWACB009lF7FMLxdba3Vp3/xPgVdQJyx48wiUPnnzPzZs/Ia6qu0U/e/HH2YOnvuZmtCVwWcUnBq5GXhLdzApVkX/hq0vXMeG8Wnt2sT/5+POfd6KJMZLTk5BlBHFV7W515/qP8NWR9fbMYp8xOP4CxJgV6iu2II8SBJQSyLMyZhQO+z3Fl5NvKXWpYeWsmcU+AADgy4vaAYTITWcXc8d7vp978dzDTjQxLnU23SmtbrzDGp0+kX7m8JecWGoKCpysrGt9h/e2rX+MVDnf6B89aI5On7zSuUCBU6HAKRBCSLJaLPXjQ39DNCMJCCVMgb982Sup+W4kiT6tu/9JZzE+wldF1l6pzWsEzb1w5lt6z9BeJ5mZI5ncEvapher2rg+yJaEmopsZyHMKwIhFipj3BhzvNUPXSHZxyhrPL2JLBRkplFDCS0iubZfXZxLOUmEZX9N3MvuCbVETXil45w0EZDAHOU6itqM7RjIFl98L3GWrFIxZ6jimumndhwBECHs8Yb1v4BmsKAXX69F5PbgmggdxvOxbs+l3Ahu2/aGdiI9qk2OHiWVm9Knxo2JJ2TpimVnG6y9zsuk5K7rQJ1XW7nRzuSXOn1eVOHbgS3ywsMVOxscZxVOEBNGb6Tv3A6W26TYnlZiQKmtvIqae0qfGj1Lnyi7xVwIlrqMvTJ2Siio3YZZTqOuYyb6T35JLqrb6GtY8ACgl2vzkSVfPLprJpWFW8RZJ4bK1rMdfFjv7wj9c73H/u8NZio3IrS1vR6LoY3y+EmJZObG+bhdkV+KciWtT237TTJ/ewlv4dQVEmEEMw1NCHOLYJuZ4GXGij1h60rWuzazvLVwZlLg24niVD4QaXCO3JIVLuxhJCWJe8K0sAn9jCZ4VKTYPwLKaEyLEYEHKo8Q1XUNL/LrGbhcX49KbbxHWGQbVy8qYXkLA1MCA3QsA6P1V9QkiBJW1azuJoaes6ZluJi9QwRUWttrR6GXyg7rEFSoqBu35hT43lZ4FEEDG6y1mg8E6AMAZiDCLvb4SYphptiC/2pyaPu0kEpfjju3FxYsAAMB4vSVOMjmFJCkAAAVE0xLZ7u6HPRs3/I6dSExQ29aV1asfEGpqbrBmZs8KlZWn7MXFATebjQIAABMIVCCOlRifLwKLi9uT+/f/JeQ4GTIM78bjY9Tni9hLsREsS3nUdZ3LCyfXtZxodAhLop/x+8ugwKtOPDH+SuNhLy4OmDPT3YzPVwIAAGJD/S3GyMghsbp6uzExcRwyDMfm5ZUDAKATj48DsOKlEwzW+W7c+SD2eAoZny+yQsRwxtjYEciyolhdvQ3yP4viRpIUgMsqo6CbTs2KNdU7tJ6ex4i5/HyljmMLFRVjctuqe62Z2bOQwRwlxAWUUshxEl9aulYbHHgWQoTFmpodZio9S+2fecq5mpbIv/Pt3djjKSSGkcaqGuaLi9u1ngs/AldJvFxJUYRscbDR+/Yb/q/effGp7JHub1OX2PL61vvlrpZ7kMh7AcYsEnj1Kia+AIDlZK5LaaDUdR1q2RpbHGxUNnc8KHU03gE5VoQIMYzfU6xsan8PoIAgnlNe4lF4Xfc8tWxD6+5/0o2nZ9iignrvbVv/Nw74IkbP0F7t5IUfyGua7hJX1d0MWVZAsuQHr4HgAWDZmJhSSgAEwOgfPcDXlm/CPrUQiYKq9w7v5yKhZs+N6z+KVbnAjibGKAXXdx6mmSW6kRLKitqF5uqd2YOnv040Iw0xxmJrzW6+snhNZv+Jf+WqImvV7Z0fYIuDTQAsm/x6btrwu8AlNlcaniJpbclNZV5muE2yWswcmzklrqq7GQe8JXRo8qh28sKjXGlRm7y25b7M8yf/3RgYP8RXlXS56ewiFHmVKfBX+u656S88t2z+JHBc+5I/ChIFFSDIGL0j+7IvdD8EBVYOvOOWv/XdtfNzwHZNwGAWe+QQNa2sOTl/MvfiuYe10/0/ApQSyLGSuqPrQ4F37/ly5rkT/yZUlx4jppWjjmtRw8y66dzCJT9K6roO4/d8m6ss6RJba3d5b938Sf3C8D6hoXKb3Nl8t5vVYuxCbEhorNzOBLwl5vjMmfTeo18mupFiS0LN/ntu+gJXEmoWV9XezNeWbbx0vwJAKaDL4SLUsjUnmhjPPHfy3/XzAz9hgoGqwLtv+zJfW7YRe9QQeFWChxWQKHiWo8DbH3SWkhOZfcf+xRyeepEJ59com0sf5GvLNgIIEeI5GbHMVaO/zcm5s6mnX/g7/z03fYEJ+CJMwBuBGLFCY9UOoaFiG/Z5CgGlxE1nF6jjGFyksJUN59dS13X084N7EcsKOOApyZ3sfRTJgp+LhFuRJHrNoYmjuWPnv2fPRi/yVZEusb1+jzMXHdAvDP/UiSbG2cL8Wv87b/4brEh5uaPnvuPEU9PSmqY7qe0YK1HYLnWJTQ0rmzt2/mE3k7ti2RCWRd9lixJKKTXtHFakfGlN09vVbWvej7zLthyQZ2WprX4PpZRAhPDl1NbrvH8AANAYGH9B7xnciz1KSOpquVtqr7/NHJ0+kXz8uc/zVZEuZXPH+yCECKvKay/XfAPgWMRcnLbGLJPo9R3yxmcfjv3b3Jg56A+xRaEIVzE+oJ+fHTUHvHlMMJN0X1My2vWCmFbWWYwOMHmBCpqxFgGhBCtygZtITDqJ1BTJ5Za4onCzm8vF+NLSNfqFvqcYn6eIuq593X5j14GrEjwQIaQ2tb8tb+OOPyaOYxDbypmzU6eIY+ucP6/KWlroV+pb3p48eeRfpIqaG/SZkydYX6CcWGaWOo5JHcdInjz8z4ziCbP+vCpPc/s7nHRyOjdycS91bINRvYVcXkEdHww3a+O5A2DZP+M1g1JKGUE6JxVVbGRVf4SR1ODCsWc+w2vBOuo6lpVJTmbHLz4jFZVvYBVPEeIEn1xcuTk90vOYGVvou/oRfj2x4twO9YHBZwGhhA0W1AMAqB1dGhbr63ZTxzXJdSY0vYW38JsCzuOPFKzZ/gDnCZQTx9ZD63bFwptvL+J8+dVGdPYcIyl/7WjZtwyCXycoIQ4l1LGS0cHYuSP/AgCE/sbO90KGFeDPJeX8JgHzguprXHOXFIp0AgCBa2hxiBEr5Be1uroWj3Yf/DsAwJlfdT+vB3fdLb7bdYErK1BtamLaolEy39TEnrh40elx3Tdvt+tlwJhjVDVMXdfGfl8EsqxEKXWJ9nJ/MmIYaSu6eBHJUh4gxCG6nmIDgUoAwBkAKLWXloYgw/BIELwr//uz84EQYVkuQLKUx3KcxHg8RZqmxymlFCL0PGQYXlmz+gEIEZM5fuLrACGGDQbr1K6u3wKAUqGy8hvmxMQxqalJcTUtjhSlADKYV7u63mfH42PE0NMQY9ZaXBxw0+lZalk5YlpZe3GhH4DlSho3m12kjm0uJ304BjGMVyxZcXU9pXR0HJDb2u43Z2fP8cXF7WJt7U6upHi1m80uUMvW+EikM/nTn37uUuQ1EwiUe2/Y8cfO0tKwm0rPOkuxYSTwHmLZmlBetsGOxUawqoadeGL8soIDQoRVTxjL6VkkywUQYdbN5pZeNuammUWi5LNjsVGuqLAVUmpSSimzfP4c4nkFcZwCGMy7Wi5Gfy7N0o7FR6EgerGiBIHjWkgU/St+LK9K8CCOFcL/54MKhBBCgVOoYWYhz0pyV/M9YkfDbWwwr5rk9AR1XBMxDIdkwbcixb+iOhrJoh+Anz3X2HBBXeBde76EfUpYPz/4tBNNjIstNbuYYKDCHJp80RyaOCq21++R2upvBYCS617YIYggx4pCc/VO/507P8tVlXS68dQ0VxJsIoaZwR4lCMCK6kIS/a+5fZc4wHFtYlhZgDFLclrc6Bt5zl6IDXNlhW3KxrYHuPKi1RAhvOwBeb0KHivjpnKLUOBVsbV2t3aq73EAwBJXWtgmb2h7wOgbfU5e23IvUqU848LwPrYgUIlVOR8iiITGyh1CbelGN6NFzdHpU6kfPf/n4CXPUOoSV2yoPOymsguQwVzuRM8PhMaqHerOdR/JHe5+CMminwkFqqyxmdOZ/ce/4rtz52chz0pIEnxYfvmYEdPKZQ93P5Tee+TLQl35ZmchPmwMThyGCGJ7drEPSqJf2dD2LieRmV1W10gBAAF007kY9ir/xBWHmqQ1jW8PvOvWL1HDypKcFieGmXHj6anMcye+CgB4/PLQJzNzqacO/TUbzq9Rtnd9SN2x9reJZqTNidnTjFcJM/m+MuxVgkb/6AEAACWakearIl2+27f9KRMMVBpDE0fNgfEXiGak5I3tD7BFBQ0QLJfDGb3D+3Kn+h4z+kef50rCLTjPV2oMThy2Z6MX+Yqi1Vwk1AIA6H+lawUFXr1kBoxVOd+ejw2xRcF6oaFyq9hevwcJnLoSskAhRsylxK0rgdqOBTn2ITacX+O5acPvBd6958vUsnVrYq7bHJg47Cwlxp1oYsyJp6ax31MktdffxhYV1DvT0X5rbOa00Fi5Y1kNU7LWjaenko/u/7SbyszZs9GLECNmpTR+GgDww+V+SwF5Y/sDyqb291hT8+f180PP8HXlm31NVTvdRHpaO9P/pHa673GhvmIbVsSAdvbij7WTvY9dqbQOAACgyHvgJW8tAACSxYB3z5Y/Eltrd1lj06fMo+f+iysJNfH1FVuc2cWLeu/IPuxRQt49Wz4FKKDXqwqBEELIsxITyqv233Xj58WOhtuoaeWYAn8FMcwMZFkBMpgFhBJ8PX5cbwD0HMmcPpD+SWWj2J5OOEu2SYwzB9NP3/ZbwY93bFVv1nMkOzNqDgx2516cGjLelLU8tW1TqCg7zhTkVyNFDmK/L8JFSjq0nt4n7Ln5XqwqQZyXV8mXl611kskZpMgFWBS95vjEcerY11+p9BpxVYKHUdSwv3PTR7Ak52VOv/hvrC9QKZZXbcsN9v8YS0oBsa1c9mLP48bs5ElGVkNCuLjN0XJRsbh0HUSYiTz4kQMAQAgocSHDiIziCYf23PtVACiFEDGIFzxYlALetq73GbNTJ8GyF8h1wTG0BOcNfKdg9Y5PycWVmzyVzbcb8YU+PhBsYAQpIJdUbiaObXiqW+9kFW9xZrz/J7Gzh//Jta9t953x+yPerZs/xoaDDdbsfI8xOPSck0rNUNvW3ExmgZiWhnhOYgKBCr68bJ1QXrYO+7wlkGE4N5WeM2dmz5kjo4dW/HB+YeJx9eP7StT1az/Al5Z2QpYVAQQAIsS6mexC/LEn/sCOx3/BQZy6roUVpcCzeeNH9f6Bvdbc/Hm5tflOsb72JjYUrLcXoheJYSSXzXZFH5JEP8SYhSwjIp5X3Ex2wdX0JFk2inyrlOst/EZCKavb5alquSN6+vn/BxHCrLwspea9eZVSqLQrNzW4HwDw9K+6n7/uoJS4AFAqBiOrg2tv+j+I5VUsKQWYE7wAQgzepPSB/27gfAU1+e1bP57sP/WQlY6NMZIa4rz5VViQ8+WS6m1WOjaKGLaPvImThzcK4TAqHh1xBygF1LapRSkAzS1sx/Yd/C2bNvMnBi46F+JxEn1TyR5CCLGsHFbVsD2/0Ac8qgsRqmX8vlIAwOU0FIgxa88v9HHFRW1YVUNOMjm1QhYAYphpiDFnR6ODXHFRO+Q5BSwn7i2XIUhSwE1nZs2p6ZNsMNgAMWJIbjlFjhJCIMbP2tHokFBVtYUrKW5ng8F6c3LyhDkzc4YLBRt8O2/4k+TeZz9DDCMNMcPZ8/N91LZ1JIq+7KmTDxHDSAFCXeo4JnVdm1qWRkwzfTnKnSz76SCB95gTk8eJZWtXSpM0p6e71fXrP4QdW4csK3p3bP+UNTt3ntqOAQCl1vzcBXtx8bLhvtTacidXWNgCWVYwRkZfILnckpvJzNvRxUGsqmEnlZpBouiDHCtd4jiobetOMjlNHce0ZmbOIFkOYK+36GUdoZQ40eiQm8nMI758g6NpMQAAobatQ4w5iDDrpFLTbCjUwPj9ZSs74zYAywsadeMGy56bPS/W1d3kZjLz1HZ0eJVyECQJl3fY3UxuyRgYf8FZiI3wVZG1WJULjL6R/ZmDp77u2b3x43xVZC2SRP9KrPAV50wrUdyXCR4nmZ5J/ei5P8d+bzFbmF+HA97i7OEz37Im58+7qew8Fwm1eAoL6pevH3Wvf2GHEOI5hcn3l1uzi33aqd4fOrHkJGQwx9dXbBVba3dRSulKWc1rJngoIQ61HcNNZReMvpHn9LMXf3xJHcOXF+WzJaFmohlJpEgB8BrnwS87juPYyuaOI1JX891CQ+U2LhJu4cuLk757bvwc9iphyDK8eXHsgHam/wllc/uD1HFM7fzgM0J9xVbIMgKlgCKBU6W2+lvtuegA+DmS3BydPmFNzZ0XG6t2KFvW/JZQV7YJCZzClhausmYX+9yl5CTRzQzRzXTu5IVHcsd7vg8ApWJj1Q1ia+0uJIt+JAq+3LHz39VO9Dzi3b3x95EsBZKD+47E//PJjyGeV6Su5ruVtS33UkJcJIt+ecOqd5pDk0fN4aljypaOSMEH776PLS1cRQl1s4e7H+IqilZzRQUNyBb9bHGokVIKIEJPXCo1o5RSiPGZ5OPPfS7wjpv/hsnzleVO9T5qTy/0iu31e6yJubPGxbFDSOQ9ypY1v5U9eOrr9lx0wByZOgY5Vswe7n6IZHJLbiq7oGzueC/J6Qmjb+S57Avd3zJHp45Tw8qpO7o+JK9tvU/r7n/S6B89YA5PHuOrImv56tL1AIDv//x1gggheW1LAAAAqEsce35p0BqZPEZtx+TKizqobmbSB0993YklJwP37f4iQIi5VmKRWrbB+D1fgiwjKJva3wMwZuyZxb7MgZP/4cZT00iV8+W1LfcJjVXbsSLlOdHEuBNLThHdTGmn+n7IlRd1IIFXzdGpk8B1LS4SblV3rvsw9iohriT0Z/bMYj+UBA9fXrwm//13/a7QWLWdWLbOZLUYk+8rcxYTY/GHf/IJa3yum2RzMaG55kbvni2fshfiI+mnDn3RzbycoH4lQIbhX1qSRk0rmz105htG/+jzbCivisnzRczR6ZOZ/cf/1YklJyHLcIEH9nx55dP09fjXIp6TsSoXUEpJ+ukX/s6ejw0Bx7W40nCr2F5/23IHIUTqr4bgIS4lEMFzExf1c5fCFRCCU09+bfHvzh5K7wUAgETUnluctidyaee6+YPXCmt69iwUBJUtyK8hmpaw5xf6ASFu7nT3w+rWTb/HlZasoaaZ4VU17OZySySTXTRHxw/TV/Dn+mXhqgSPVF6zg8sP1jvZzLyr5+J2Mj7h7Vj3fiFSvsGcnznLh4paF/c+/vusx1vC+gMVvs6NHyGOrTnJxISTyyyQbHrOTsRGHS23dKU6WyebmnmplPZ6YaXi44ykfsbf2PmgGC7tEgqKVlHHNrCo5Dt6dtHRMovUsbRE34lvZkb7nrrWZBbEsoL3hu3vFRvqdkGGEYTqqq3erZs+Rglx3FR6NnXg0Je4cOigd+eOdwhVlVuoaWZdTY87ieQkZBieLylul1a13EUtWzPHxo/kzp57hPH7nnMSyelrOT5ECClrOnbI7W33ar19T1HDzHDFRauE6qqtXHHRKrYw1AQA+AWChxjL6hxjZOywdqH3CaGyYpMTT4znLvT+SF2/9v0kp8UZv6+UryjfKDU23MKXl62DDCMgnpMBxizRtIQ1NXPGnJw8Ibc2n7cXowN2LD52KUHjLbyF3wRgTlAhhNhOxcYAQpj35ldDiJjc3PiLUiiyhpHU0K+6j/8TYGcSE4neE99AHK9AiBiAGSE10P1dbWHqFKWvw4T/1xwIMwJiOck1cjFjaa5HKVHyMS/6zPhCP6DUZSQ1BDHDAQB+7QieRILGyitwzewsmZJlqKgq8nZ3W8cUFXre+17po4ODTu+ZM/YxjwcdSqfJm6I2pa5rS/X1F8Sa6h3Y6ylaVt9AoG7Y+GEuFEo58fg4EkWf1NKylq8o30Btx7Rm53qYQKDc1XIxAAAgppmhlpXjS0o63HR6li8ubs9x574PAMhAhuHUrq7d2O8rVTo734tFwZs9e+4HxLKMl/TBAQAMQYRGIMPw6saNHxGrq7drfb1PWrOz5wCEUKipuSF74sQ37OjioDU1dQrJSgFXWNjMl5at1QcHf+ok4lMAAAARwtjvL2VZthoAcPzSObL5edXW3PwFouspyGAegFf3MHBisRGi5WJIEL3L5U2esDUz3U10I8kWFa3Szp9/lLxkXsB4vcXUdS2IMQcxYhi/rzTX0/MYRAhDlhH44uI2yLIiluV8xHEKACDhJBITUkP9zdSyckwgUC6URrrcTPplZq9IEFSkKiEkCB7qutZyWhmlJJdbshejA4zPFyGGkXbi8TGptnanNTV1EkvST6njmFwk0sgVFa1CPK/YS7ERAJarG6h75c0rJAleyGIeAACyh7sfcmKpSXXr6t8iuplJPv7c57VjPd9zM7klqa1+D19Z0okEXgVXSAH6WcMQAwgAhABiRcoT6sq3SB0Nt7Ph/Nrc8Z7v6y+c+RbAiMFeNSw0Vm5Xt6x5HxMMVAIAAHUc67qTEyFEkOfk7MFTX8u9ePa/uPLiDqGxcjuT5yujhpXRe4aelTub714meK6upPgFEOouJw0ZaeoS+xK5A1mGD7zj5vexRcF6e2axD8minxLqvo4SE6CfH3zaGpt+l9BUvdOzZ8unkMh7mHx/udE7sj/z3PF/RaLg9d2x/c/cZGYud7zn+0JT1Q1uLDnJFAQqckfP/ifJ6Ul157qPIEnw/sJpmJambO74ntBYtUNa3fA26rhm7mTvD9NPH/5ba2K2GxBKuPKiduz3FCcf2fd/3URqZiVt98XMgVP/od7Q9dtcaWGbm84s+O7Y8Wfm6Myp5I8OfMGNp2YAgki+qeV3vbds/iRkMZ/6yeG/xR4lKLbU7HLT2aj//t1/zRbm19tzSxf1cwM/ERoqt9lT8z0AAmhPzJ0lmp5Ub9rwe0jgFfBz3iPUdR3IME9gVQ767rzh0/LalvvoqrosgMs3uDEwftiemj+femz/Z6njWvLalnvFtrpbIcuK6vauDxm9wz+lruu4qex88okDX9DP9D9BNCMFIIRCQ8U2NhJqSf7o+c8bvcP7ufKiDr62bANAEHOlhasgy3C/kIQLAVwpcQRuKrOQeurgX/PVpevl9sbbrbHpk9kXTn9T7xs9wAbzqtzbjARkMI/En5VuXg1OIj2LVfkzTiw1qWzpeJ+yueNBoanqBnsuOkgtWzMGJ48kfrD3T5zFxDgAgPIVxWvE1trdQlPVDieaGHei8TG5q+Ue9u03fBpyrOgsJSf1nqG9kOcUsa3+Vml1w9uk9obbkCoXEE1P6t39Txp9I8+Zw1PHnER6FriuhUTBq2xsf7fnls2fcOOp6fh3n/kja2r+/NNp1fEAACAASURBVLX0HyKE4YoPGeRYkSsvWi3UV2wR6iq2mGPTJzOHTn2D6mYKqXKB0Fi5XV7Xer/YVL0TAAAooS61rn/tDHlOscZnzyx99dH3seFAtdhccyNbVNAAAAB6z/CzkOcVJuAtQcum5L8S/EKpKwRQy7rpqWGjj2EhhxBE/iATlj0Y5NLum0LyENs2IEL7jcHh5wCl9CVeXvNYVb7kLMVG2GBBnZvTlqyJyZPm5NRJalq5N7OU/oovIIgwDu66Yy3iBW924MKPWH9eVW6o/8epMy9+VWlovQtQ4nL+vMrw7fd9HUIInWxmPnbo2c+bi3M9diox4epanFpWlrwOb53rgaNlFiFCf4t50Yc4wYMww18yzyKWmXX0bJTYlgYRQhBh/NKUrVcDkqU8sb5uV+b4yW+ZY+NH2HCwQayvu4mPRNZgr7fYs3njR5WOtvshz6vWzOzZ5UkN5t10Zp7xeYshw/BuKj1jDI8cJKaZkdd0vFNuX3WP1FD3j/rQ8PNXfVFTSt2ctgQApdr5C48hSfQDQhxrbv6CumHtB7DyyvWRjM9XQglxkCh4lLWd77PnF3rN6ekzbEFBLRcM1gMIUd5dd/wDtR3Tmpvv0S70PgEopfKq1ruE6sot1CW22FC3W6yr2UkMI+Wk0rPGyOghNljwz85SbOQ1pSu8hbfwawriuhar+kuLd977bwBC5OQy87HzR75CXccQC4pWYfFXU5/8Pw1mIjoMEfrj5RQXhBHLK8QyM4AS8uvqMfNGgFLiAAhhQdfOPwkYWhxAiBO9J7+uzY0fC63b9WksyHkQvXnpDG8kvvuw/rW8PFggCFDsWM2tFwQgNjSwrfE4WTp9yj4KEYC1tUzTxo3cDV1d3KNjY+5gKkWSlkV/qYpSY3z8RbG+bveycgMC6tg6X1LcnnfHHX/vZDILJJdbwqoScpaWRpbJHFvDipxvzS/0AgAAtW2Duq5lzsycBcR1hKqqrZ6NGz/MFYafUtesWS/W1+82J6dOUkNPAeovNUdGDgEAAOP1FklNTbe5mcy8OT3djXg+TQEl1DKz5uTkcchyEkSIIaaZRYLgdTUtZs3N9QCMWWLoSSjwKl8a6eRLI51uKj1HbVuzo4sDlBCXL4msBisEDyDEcXNajOh6gsnLK4eY4QDGrxqFS13X8e/edUHt6nofZFnJnJw8jlU1JNTU3mCMjx2x5ucvvPTzTjwxzhUVt9nRpSE2FGp0M9kFLMt5TCBQiVVP2JqaOsXk51URTU/wkUgn4rjD1HESWl//U1JL89tJTotpfX1PCaVlXXwkcsaJx8ewLOdLzU2bqGllsSIHIctJ1HFtQCmhjuPmzp9/1Ltt6ycoJS5ACFNCXO+2bZ+UW1vvcldIOgAAtRcW+olpZRmfL2LHlkaIaV3RfweKgudSPDkXCbcKNWUbtdN9j2tn+p9wlhITSBQ8SlvHg0worxpQQCHPildTBV1qGgAAIM/Jnt2bPo4kwYtUKd9NpGfEVXW3CA2V26jr2kTTE4jjZMBgDjiuCVhGoLZjAPc6CR4EERJ5FfvVInndqvuZgLfE6B3enz14+htuMj3DV5euF1trb0YcK6Jl5dlrAiXEpY5jLo/rzx7bSBQ8QkPl1pWSjyCAEL5e01GSyUVTTx76K+xVw2JT1U5zaPJo/FtPfMQcnznDlRd3+O/a+TlAKbXmlgaQJPhyh7sfkta23GfNLPalnjjwF2JLzW4AAIUIYYgR/vkUKKNv9IA5MnVcqK/Y6swvDaeePPAX1uR8D0QIcaWFrd7bt/+pPbPQy1cWd5pjAECEZqDAAamj4XZlQ/sDxDSzkGWE7KEzX9dO9Dzi5vQkEnhFaq/fo+5c9xHIsxIg1GXyfKVCU+UOJAoesbV2FxI4xRyafDHxvWf+COf7y8WW2l1ie/0e/dzA07lj578nr2u9FwBASSa39ErJVdRxLMRz3ySanvDcuvVTXEmwyRydPpn80fNfsCfnzq6UH2ny2pa75c0dD9rTi7254z3fp45jyetXvQP71MLkD579U6N/7AAlhCCOFYTm6hvZ4lBTeu/RL5OMFpU6m+4SGqu2k5yeAAAApIh52KuEAQCTL+8NhGilbA1yrCh3tdwDGcwmf7jv0+bQxBFiWhpXEm6W17Xct/xhiCC/rIS8VriZXAyyzD8YfSPPi211t8idzXcLDZVbqWFlsSrnc4X5dcQwM1wk3MoU+MsBQow9G+0HlBCpvX4P8iyXbJpjM6eM3uH95ujMSSQJPiYUqObKitohywjm8OSLmf3Hv6J19z+54vXEIFnw8RUla5RN7e/ha8o2GgPjh1JPHfyiPbNw4WoeXK8EqaPhdrGt/lYm4IlQ085SQhxfQaASENchupkGLnGQIgWo4xqQYwVAiEut6/dRRQKnIEnwCU1VO/iaso3WxGx3eu/Rf3CiiVHIcwpfWdLJ5HkjSBSumXD7ZYDlEFdYztU0rFE2feAzJasci1qSB/u8AaYgEbXn/UG2cN/3Yv8OAHjszeoTJYQgnpcBhAgyjHmpysXNZKMAgK8BsKzyRQKvQI6TqONa4E1MYL4iwYMEwcd6fRFAqYtFyQ8x5tlAfrW1OHchN9j7pLdj/QeB69pWdKE33XP6v8zFuR5iW7lfZSkPq3iLWNVfKoZKgZlYvGilYuM//xnEMLxYUNzqrW6to5QSzPF7Xcu8ssEezytsML+WGGYaiYKXycurNIZGDuZOn/2u/+abPsMWhpsAAPXUtnWIELaj0SFrbr4HYswBCJE5MXlCuziw10kkJwEAkNq27tm04cP+W2/+c7j/+S9ChnniSuNGKaVCVWWaCQTK/bfs+pw1M3deHxzazxUXtkKG4S+7d//8eBTk10CGEQAA0E1n5rji4naxoW43NYw0FHgPtaxc+uALXzZnZs8tR0z6y4XKik2UEMecmj7tJFPTXFHhKjfx/9l77yjJrvpa+ISbY+Xq6pzThJ6eHDVJAWUkRBAgHgabaPPgYRtjsN/3OT0HeF4GnsE4kZMQGCGUpZFGI81oYk/o6Z7Ouaq7crz5nPdH9cAgTdJICNmPvdZdq1f1rVv33HjOPr+9d26Ga6hfx8VqVrDhUAdXE12RffixP4UIHX6lUrPf4Df4zwbqORbEmGMVX0MlMXWwNDu2T4zU94vRxo2cFmxhfkPwvGa4gDR2wauQ7P5XAiXEBcRzWcXX4BrlVGlq6BHEcWqof8fHpNqWbWY6fgZeZnD+RsbsrDsFAJhiWchOTXtju3fzN69axa7zPOCFI6gmHvfmslmS6utj12/awl1305vQnY88bP4IQnjoV0n6EdMsctHoV7Xrrvs4kuWQs7g45FUqWYgwQwwja83NHceaWsMGAs3EcSoAQlQZGn7Ey1WrcqnrmtR1bVIqJZEsBbGqRpEg6oJp5NlwpNMrFOJcNNKDBFHP79//996yPAvreq28tv9eCCFyUqkxN5ebZTS9Fomi344vnMKaFnMzmSmhpn13ZXDwQUCIZ83MHtE2b/5ta35+wFlcHEY8ryBJCmBZDtqJRJxYdgkJgk4s6xcVyxBiUi6lqOMYjN/fxPh8DYi7/KDKmpp+gW9oWI81LcbFYqvdbHbGTsTPWOMT+4lp/lIfypqeflHs6b6FOo5hxeOnxRW9twXvevMXvEolUxkc/KnQ3LQFq2rEnp07pmxY/x62JtpjjI49bcfjg0wg0Cqt6L3NzeZmkCj6te3bPurmcrNuOj1BDCNLHKcCWU7k6+vXuelqqhmllCKOO1Q5feY/+Pa2nV42N+NghgcYsYAQ181kp510elxobtoMOV4Gjms66dS4OTL61JUqkpHAKXA53pZvrd9QemHg224yOyX2d9+OOFZ0FpaG7Jn4QOnZo//K1YV7IMsI55PBrgYQY5atCXYQwyrYM4lTbiI1Yk3OH7Un5485i+kxatklSihhwr7m4H13fEHobr6O2o5BHe+aJk8hRizf0bRN2b72v5GKkS0fPPU9YjsVJuxr4uoiPVxz7TrEMQLAiAHssvnrKwGlBBDiUdMqna/OQZKgcY2xbjedn7On4yep61rKjnXvrUq0rv0+poRSiPH+9Nd+8mH99p1/xNXXrJY2rLiba63fIK5sv5Gti/S6idSIu5AcNobGn+bbGjdjTYlk73/sj91UbgbJog8ymAMI4eVz9kv9WS9XjJefO/51riG2GkmiT+hp3SW0N8rSut5a7U3bPsG31m8gXc07SgeOf90cnngGKWJQv3Xnp5Qda/8bIMQzz4w9Udx35Kv2TLX6hmusWaXdvP0udc+GDxDDKpRfOPkdNhbultb33gV5TraGJ/c7S5lxcVXHjZXjQw/igK/B9+Y9f0Jd1yo/f+Kb5RdP3w8QREwk0AYopV6xckkJELHsCmTw/U4iParfsuOTfFfzDuW6db8FAABYkY57pUrGPDP2hHlu6jngejYlxPPdsfuPxZ7WXaWDJ79rjc+9uEzuiNL63jez9TUrnYWloeUqj24vX1qsHBl8QNm57v2AEM+eXxqk1kXIBgjg+QopJIs+JuxvKe0/9m9IEnzq9Zs/SipGzp6OD1SODD6AfWqNtLbnjvN+Pa/oWqjKX44ijj1TPnjq+9K63jvFvs6bucZYH9/ZtA0QSgCCyDg1+pibzEzybQ0b2dpIL6CU2JPzx6yx2UOVgeGH7Mn5o1hXaoSe1l3iyvbr3XRuprivairtZYtxAAHkaiPdyvb+rdL6FXdxzbVrvWxhPv/wc58rv3j6+6RQSr7Cd9PPK7CYgN5AXc9yl7LjzmJqzJ5JnLQm5o44c4tnSNnIUs9zEceJ2m3XfUp/07aPU2/5PrtGMNFQu377zj9iakKdpf3H/91N52aQLPp5v7Yd62rNsjQLoqqc9NcChkXsut3aLfXtfO/SnD1plEnJMryyICPFNEiZYSFLPOqxHHxdo9wZv79B27n93ZDnFWNo+FEI4YELzztECAndnXuE1pbtSFUileMD34MIPft6FUZcnuDheAWynFwaGXxIqGvcCCglrKrXAeI5biE/TyyrmN7/+J+Vzp3+j2rk5q8XjCgHIptu+hQWpABxrFL6xP5/ABcZILCqvzGwasuHnHJhgVP1es8oJQEA+y+3bSRJAcTzqtjRtgsgiM2Rsachx8lYU6NOOj2Bda3Wmp07ao6M7bMXFk5CXtCEtpbtTMDfRF3XdovFRWX92vsgy/Lm6Piz5YGBHxRfOPRVqW/V3fp1238PVI0Vf3y5E08tq0gqRhZQAMzxif2IZUWhuXkLIMRD/MUJHshxkpcvLOQee+LP2VC4nY2Eu8yRkSepR12RZfdYM7NH7MTSEBsKthHTKmJdq8WaFsOaFnMSibNsNNJlTU0fhBwnUcsq5p58+m8gxpy6eeP7Anfe/nfJb3/3vQCAsVd2pn6D3+CNj2pKAWYAhNjX2e+5RjmZHxm43zPKSaWx83q3XEi45UKCeI4JGYZHLP/LgyNKCPVc6//lypP/ioAQQgARhgzDA0K88743ECEEMSOwiq+O0/xNiOVV6jmmUy7EnUJ2mjh2mRLPudrrAUIEIUIsQAgLwRgmrmsVJs8+VJo+95hc37YLYUawi7lZzzYKEGEWMaz0y9cgBdRzrf8sBLzjUAcAsAAA+Ne6Ovz46j52Q0sL39Hby/ZlcyQzNeWOt7UyXQ8/bD4gCFCsqUG1AID5X+k+LS2dyz3++J/xLc1bGZ+/UdC0GqypMVIpp/mmpk0AUOqk0xOkYmTdbGbKmpk5fD7GmNp2BatqhFpWEQq8ygaDrdbc3HHG52/0KuUM4gXVSSZHzInJA8bw8KM/f/dTSqllldxyOWXH46cZn78RKXLYTaZGAYQQAEq5mpoVbiY9aQwNPUwJIRChscLzz/8jEwq1I4HXqOMYSJIDxtjY0242O8v4fQ1yX99by6dPPXC+bUgQVOo4BhMMtHJ1dX3UcS3IXb5aw0mnJyDGbOXs2Z+56fQ4oICy4XCnNTf3MoNvOx4/5SQSZ5Ag6Gw02msMDT3C1datsePx0+fJEqwoEbGn+2Y3k5nEqhbj6+vX2QsLpxHHPUJtq4R9vno3nZ4glUoWIITdTHoSspyIJCmAFSWCJNGPREFfrtC2iW0bkGG+bi8mBrmampUAI1ZobtlGDCOHdb2WCQSavWIh4RVLi16ptGQvzA84ydT4la4DpMihZb8cAHlWlrf03avu3vgBAAAwz03ud9O52fPyKshzMkSIeals5nKghBI3lZ0yTp572JpaOO4uZSaWZ3sBDuj1AFRlXNXqA18LpZSSspElln1N6Y2Q52Rt76YPAZYRnHhymKvKyjQk8AoUOAVyrAghRMRxzZ+n+7yiH4CoWkFFPQAhRDwniX1dN+KAXld47Pm/tyfmjgo9rbuV7f33UULJtQu0qli+555nQr6PKtv775M3rX67VJWY8YAQzxydPUg9zwnce8vnuJa69RAjVlrddTO1XYNrqFkNEGJANY3tZf1v6nkuksX/YEK+JmX3xg/633bT//IK5SSWBR8SBR1ACCEhEmQwJ21YeQ8T9DUqO/rfQ0qVdOGpQ/9oDk/tRywjKFv77uXaGjYJHY1bkaZEzdMjjxafPfZv1tjsi2zE36LfvuvT8pbV9+KQvxH7tVok8hpbH12p3bjl9wAAIP/wgc9bUwvHcVBvwIoU4FvrNwAKKDGty9pMLBv8HsWa8jF506q3ytv67wu+765/sifnj2k3bTvA1AQPuon0KLFdA2LEVI4PPWjPxk87C8kh6jgmEjhZXNWxV97c9w5KiKvsWPteJAm6OTj+lJcvLap7Nn6Ia65bV3ruxNfzDz37Nxf1nIEQYV05L2OHTMjf5Lt77/8HeU6hpl0sPXf861gv1QjdLdcJPa27AQDw55Hl14Dl6qRzAIC/ZQL6t4Xulp3imu5bhd7W3ViRQuKarlshhJBSSt1Ubrr09OF/qgwMP+Qms5NYk8Py1jXvFvs63wQAgOUDJ75hDk3s80qVNBJ4Tehp2Smu6rhJ6GndxcZCXV6+tFh65ui/VI4O/tiejZ+8lqodcEGZm1c2ssaZscetsZlDzkJymBhWAYBq8tt5HxysSkG+ubYfgOpEwrI59TVBWtN1K+RYyU3npvXbrvtDJHAqFHgFCZwKeU6CEGIKAAVXkWr2q0Jjp7Cyd4N8XSrhzK7eou6NNnJttkUNSiktF0iOYSHnWNQsZN3XLegEsayg37DnfVxD3VpzYvIAtaziRfp2kNHUGDEqWa9STvPtrbus6dmjAICrsoZ5tbiCRKv6kqpMjj6FOE4hjl0mjl3mQjW9Ss/qt1SmRp8qj559+I1A7kCIkNrSs1Vr6b0tO3Tk60Zi+rCdr87svBROMTfrlAsLTiEziRhGkOrargNXIHiwqkQAhNDNZKetqakXAMYctO0S4jjFGBp+NP/0s58j5XKaCQZblY0b3suGQx1YUUJ2PD7o5gtTTCDQDDzPsmbnjmFNjQbf+pb/4xUKieLzh/7JiSfOqJs3vY8YRg4itO9SJA9xHMPL5ecLzx34opvOTLKRcFf55OkfYV2rQ+LFddJuphqzikTJL/f3vY2YVgEJvMZoco0xMvoktayS2Nm+144nTosd7bv55qbNWFNj1szMYTedmXLzhXlAKWGjkZ7SiZM/INXZxy43m5thI6FOddOG90KG+bPfGDC/cQExZjg92IZZXnaNcsqtFBLkJecLQggRL2iMqEYxx6sAIkxcu0wsM+8apeTrLbP8dQNzgurv3fh2panrBk4PtjKCFGBkLebrXvvOwviZH6cHnvsiI6lRKda8BRDq+TrXvF0Ixla5lUICAAh5X6jdyqXG4vt/8klQHbS+DBAhhFhewZygI17QEFNN6gGUUmKbec+sZD3bzP+/JIPEHC9zerANsbwMzuspKCV2dumca1ZeUVTvaw0xVLuKkdUarX21yuuhdqm2eWt28PC/Q4R+yqq+Rl/P+p1a64o7OC3Q7NlmgbquxcpaDPGC7pmVTHlh8kBhYvBBzItHPMu4aFrRhVCaOm/Q2lbdLYRr+zAnqJweaGFlNYoYRsiePfoNAAAQQrFV1HVNIVTb13Dzfd91itlp4jomp/kbIcJs/Lmf/iEA4MCv/OC8xshkSGpiwjvX1UVW3HGn8A6eB0IiQRY6O5ie73y78lWfHwVr63Aj+BUTPMsdtgUI4QNQEDTj3LnHhdaW7YzPV8/4/U1uoRC34/HTTmJx0CuVkufJHQAAIKaZJ+VyWuztvQ1izJpTUwcLzx34AkAIU9s2IMYs9TzHK5UWf258DABwlpaGCgee/5LY032ztGLF7Yyu1xHTLFrT04eo69liff06J5UaL7xw8CtuLjcLQJVLBgBMQ4ZZIJVKhm9q3OQVCglG1+vZaKQXAECLL774r8bo6FM/bxxCLN/aup3x+RqcxOJZYlSy8AqztKRUSpZODHzPTacnvHI5zfj0eq9YSFzY7p+va9sGo2uf56sSqw18Y+MGJAg+rKpRc2xsnzEy8oTU03OL0NlxfTUeHbPmxPiz578LGeaZaux8uItUKmnIVUMfAMYsr2kxsaNjr1csJrxCMXHhwHz5WB6EDHMMK0rYHBvbx9fWrcE+vR7xnGzPF+Pm+Pizbj4/T8yr82DEPjUGOVYCoPo+vTAlSehq3sG31K0HECHIMRJECC2HSl8R1PUsQAEACECsKzXS+hV3S+t633yp9SHPyVgSfMRxzSoJdI39rmqlCnQWloaAR13IYh4Q4lLXtYGDTIgQpgzmIYQYMugVVwZCCBHAiBG6mndI63reDDFmmZCvCYqCxob9LfKWvneykUDrMrHiAPBqKZ4q3FRuBnHs/y4fOv19sbd1j9jfczsTCbQKPS27pL7OW5CuRM57nag3bvmYvGX1vUgW/YACSizHuJjUCQAASNnIIZH/38aZsSekDSvvEToaNwNKSdWkmVchx0rKzvXvBx5xAYIY8pwEeU7Wbtr2ce2mbR+HDOYggzliWEV7euF46fuPfdoanz1EykZu+Rlzjgnqn/VKlYy6c/1vQZHXAQVU3rTqbZBjReC4pn7Ljt/Xbt72CQCWPbV0tQYASoF7aWP0C+EVSknIMP9inDz3iLi6803SxlVv1fZu+jC4ccvvUdMqOfHUOXt+adBNZia9QnkJ8pwi9ffcIW1a9Vaho2krUsQgZBgOMpijHnG5lrp1TNjf4swvnc1866f/3RyceHo5tfdlgAhhHPA1ArCc3CRcQCQLnKrsWv/bwPUsyDICYDBPTav4aqq6LoSbyc9DhL5nnBp5lIkG2sS+7lvEle03MGF/C9bkMNaViLxtzbuF3tbd1PVsJhJoZQJ6g3Fm9PHcA0/+T2LZJaYm1Kn0tO6qJtr5WwGAwE1mJvMP7f/byonhB93F9Bix7Gv2waGe51BKPQAAQAKvij2tu4XOpu2XWh9izJ73NHKT2clrJXoBqErmnKXMODWsImAxRwkl0PVs6rgmQAiDaqAPhAzza6sQjtRzLYKElbYV7NrZUePsvh9lvpbPuEnPpS4lwCOk+vwv5bzMlbb1WoEJBlrAMvlNKkbOKxQTL12HEuKxoeB+deum37Zm549ztVXFDXgjEDzEcSrUcSpYkoNuqZQwZieeZ32BZogwy/qCLbkjz/+jZ70xIrYhQgzvj3Tnx0/9iPeFO8zUwklyCeM84jpmYMWmeUbR683kwim5oXPPFbfPLqcdIISRIOpuoZAAlUrGtZ0KkuUgG4l0MwF/k7Jh3X2MrtfZ8cQZJIp+ob19l9DWuh3xvOYZRhYwjAAZhveKxUVncWmYb2rYwAQDrWw41OG78YbPppLpMXARs2QAAAAecSmgRF7bf69XLiW9TG6Ga6hby4aCbSZ78Y4ZdR2TUuJBCKFXKi0J7a07zfHJ5+zZuWNib88tbi434yRTIwBChBQ5REwzj1U1yvj0ei9fiEOWFdlQsNU4N/IkxJiz44nT5tjEfvPcyBNCV8deec3qe8onTz8AADhxNeeJEaQAH4h2s5q/kRGVMGI5BQAI3Upx0UwnBs3k/MCrSYKBEEJGUqOcL9TB+8MdrKzXUkqJU8rNm8mFASu7OPRScuNqIARrehlRCZfmxp49/xmraDHeH+2uLEw+f/5aw4KoC8HYKt4f7sS85Keea5dmR5+2Motnf12VHFJN06a6Pfd8mVX0ejOdGDQWZ4+G1+9ZsHPJ0dLM6FMAQqR3rnmT2txzsxipX8uqvgaIMOdWSot2ITNtLM4cVpt7nq7MTxy42sS5qwGqDuZbeV+4k/MF2xBmec+sZK3s0rCxNHfCNapmpa8ErKLHtNaVbwaAEjufHjczi0NuqbBAKXlFx55V9Lqa7bf+r9LM6JOlmZEnhWDNCtYycm65kHArxaTWtvJOQCkpTg8/6pbzC3JDx97UsX2fc0r5ea1t5Z1KQ/tuSimBDPuyklFODzRJsZatkc03dXOqv4mRtZhTzM5gTtCl2tbtEGPWLqSn7GxqxMwsDqktvceMxMwR1yhdMY0BAAAwxytyffuuSmLmsFspLgEAAESYkWtbttr59KRdzC4br2LM6YFWIRhbySp6HWJYycqnx0rT5564WvP51xKI5cTgqq0f8PWsezdiWBFAiDAvBTAv6HNP3f9BiPA3r8Yv7UKwih6Too0bOV+oHUCInFJu1lyaO2HlUqOvhDhDDMu3vOXDX5ZizVvPx7VTz7PNdPwMZBg+sGrLh3h/pKs8P7E/O3j43z2rkkWcqPu6+t/BB2tWcFqgSQjXrfF1rX1ndujoN1hZ+zunXIhf7jfD6/f+EUSYLc+NP8NIapTYVhFihi/PTz4v17ZsQ5ygVRIzh5cOP/mXobXVhK3S7OjTYrRhXWjtrk+yql6P+VdmkIp5QeP0UDvvD3dwWqAFIsy6ZiVtpRODRnL+hGcZv9L3fSCAgmv6uU3//ePK9s1buF0YQxyPe/OKAtWGetw8MOAc3rCR237unDu4sODN/ir35UIsc6KHMQAAIABJREFUP7vzy8sZAADgZX+jFm69jqbSY24p/7JzuXx9/fPyctUgllUBADwKEXqc8fubuPr6dYyqRimlhNp2JffEE39hzS+cuJAUOg+WlcOip0TcoZnDpVz8FCGXjue1ZmYOF1944StMINACKCDUsStOMjVyuX3zDCMPEfq60NKynauNrTInJp93s9kZhhM0VtBidiU347m/GOi4+UIcAPCT5eVi+BIA4EsQIQRoFef/sUxeTC4vL8UsxPinFyOWXvL9+eXlVSUcmmfHn84/+MxfYV2JIkn0I/n8IviQwKuQ5xTEIQ4AQKnr2s784iC1nSu+K535pbNerhjHPjVGLbvkFUqLXq4Y9/KlRVI2ctR2KkgW/UzY38yEfE0IIYZYTtnLFhaMoclnXkWTqFc2MtbozEHquCaSRB3Jgh8rcgj7lChAECMGc5QQ51r8PbxCaalybOgn4sq260Pvv/ufq1VNy5UArmcTxzGpaZessZmD5cNnHqCWfc0eIi8FqRrOjgEAxiCD/42NBtu5plg/Wx9dyUaCbUw00MaE/M1IlgJMyN8EQFXK5GULlw08IYZVBAC8AAB4AUuizsSCnWw01MGE/S1M0NeIg3oDE/Q1IEUKQkJcyLICE9AbSLmSseeXBq1zU88Zp0cftybnj10sScdN5+eQyP+ply8l1Os3fYQJ+hrReR8ajhWZUJUguRDU9WximFecLPjF+j+/p76MVfkHXFNtP9cUW8M1xdYsH6c1UBQ0JPIa4liRUkqp41nUsstepjDn5gpxL1dc8LKFBWchOWRNzR+vVvpcvk9NXdcqPnHwS/bE7GEkib7le8ePZNGHREFfrhaRl5MyKSkbWWchOXy17bpiu6vP4szycgQr0he41vqNQmfzdr6jYQtXF+1layM9EP1CVon9Wp26d9OH2LrICr65rh+KvO7lSwlzcOwp4+TIw8bg2FNevrT0Wuyfm87PuonUGBPQG6jtGF7ZyHrZwoKXLyVIqZympl0CDMMxIV8zE/Y3Y12JUssuU4QYY+Dcw8Aj15wuuhwrP+BlcrNQFDQkCX6sSAGsK1GsqzXLHnSIWq9d3/+Volz0cqW8m7EtJDzx/fRXCxn3FY8NXmtgv68Bq0rUnl84xYZD7Zdi96jjGkwk0mXNzB2lplUA6Oqlu68Wlyd4jErGLeYX+GjtGisxd5yPxFbZmeQIo+l11WnVyxvTva5AiJHqWrcbiZnD1PMsRlJrLrc6ZBhBDNf1W+nEIKCX7iT8fH2MWAAAkFeveHNuIX7ampk5jCUpACCExLJKEEGMmxo2IJ5TAEYs4jkl85Of/oE1vzAAMWLEzo7r5f41bxc72ne7ufxc+ejxb1PPc+T1a9/p5Qvx0rHj31HW9r9T2bT+vRChv7hoWT1CDGJZiW+oW5t/9sAXqGHksNwZoq5rUvsSL0iIEAAQUte13HRmqpwvLECelaHAq6XDR77mpNJjbio97rtx72fldf3vxKoahSwrUNMqit1dN7npzGTmxw9+ws3l5rCu17nZ7AwSRR+lxKW2XYYcr4g93TdDCAcuRWBgjpf5YGyl1rrizvo3vWs1K2u1AADg2WYBc6LO6YFmu5CZ8oxyyrOMnL973Y+LM+ce94xy+mpIEYgQwrwUEMKxVTXbb79ZjNSt5XyhNixIAcTyimdWMk4pvwAocZ1yIR5ev/uZ8tz4fjufHvfMSuZqfgOxnFSz47a/ab3noxXqVV/OTbe/P0A911rY96Pf4wNRU2vuvqXhxnfuYhS9FrGcXJoZeZL3R7p83eveWZw6+zDvj3zPLqQnL+yUIpYTGUmNiuHaNWJN40ZW8TUglleqMhCIqedZ1HNN1yglzeTCycrizBE7n5kiV0m0QAhhbNdd7zCS8wPF6eFHhVBtn6977TshZnjqeVby6NN/K0br17GKr97KJkfyIwM/cCrFRQggVFt7b5fr23dymr9JrmvdYeVS43pn30+Kk0MPE+faOmSI5WVODzTL9e27Gm68dxfvj3QzslaDeUGnhBI7n56gnmMQ1zFqd911rDQz8oSZWjjllouJSxG2F7ZVa1u5OXbdHX9HCfE8s5xyysUEsSq5ptvfZzml3Fx28PC/mcn5k5RSihiWx7zoYyS1RgjX9Uuxxo1YkIPpkwe+BCBME9sqZk698JVyfOqgVNO4sWbrLX/Jqr563h/pcorZaeK5plLfvluM1K8FCDGQ5aTgmu2/iwXJb+fTk/Ql5d4QQqg0du6t3XX3xzzLyBHXqbBaoLkSn3wBeMRhIlosN3z0m1JN0ybPNvKQYUUxXNuntfTcQglxIxv2PpQ5ffCfr1TJQimgcl3bdZHNN/1py90fzAAKaMtdH2BYLdCcOXPoXxhR/mcx2rixbs9b7uZ8oXZW9TdY2aVzbrmQ0LvX3uvr6r9Xbe7510p86uCFlSYQIoRFKcBpgWYp1ryV90e6GEmNQggxQAgDSgnxXJM4VtnOpceMxdmjZjp+xq0UF6+GTIEQIlbzN1cWJp/PDh39phiu61fbVt4hhGpX875wx7LHzBVnyTAnqHywpldvX3V30+3v24WY6sw7pwdb3Upx0c6nx5xSIR5YsXFfeX5iv1PKz1+pQo1VfQ0QQrT4/MN/bOdTE76e9e9WGjtv8Pdu/C1KPNtMxU+nTx74EiPKQSnWvAUyrMjKag2r+ZtyIye+61aKS2pj5w2MrMcCKza9j5XUGk4PfsbOpy82eF0+kYQUJ4cfSh5/5vOs4muIbLzhM0pjx14xUt/vlHLzdj41zumBFiEQ7WFEOUQJcX3d694lBKO9bik3j7mXp8Jc6nhxerBVaey8vuGmd+3g/OFORlKimKumFNmFzCT1XIs4Vim24/ZDpZnRp8xMYtCtFJfotZq8XgBVRWp3D9O3Ywd3/ec+r/fLClJNgxqFAs1NjDvn2tuZHkoBzeVJxjCp0dCIWw8dsvfHF7yrSqD8VUHUIt3++pV3uo6ZgwjNvtZSuOV75lIEx0UhqKF2vabjeruSmzVL6XFQJaQuCq9USgIAvneN+/VLFc+yv36dFmnbVVga3wcAeAaAZQJZUGrUcNtOUQt3zg8+9ZeEvJyUumCbr2w/LkPuvNawZxNnIEJnIYt5yDA8ZBkBsEz1bwZzECMWIMQABBGggLip7PTVzOhb43OHFz//9Vshx0rUdU1q2mVq2WViO5WqiTJxIcvwSOR1KPIqZFkBYsxRxzGdRPqyZNzF4Cymx8zhqee8fGnRnq16/ZCKmUeaHGFCvkYm6GvEBWUJifw0EnnVM8y8NTZ76JX+jpstLCBZ/KPiY2oMsqwIMGKWK2coJcQDhHrU8xximAWSLy+SX1Eq67I8aRgAMAwZzCCB15Ak6FAUdKzJETYabGNjoS6sqzX25PzRq92uVzHyAIAjAIAjECEIOVZalraokGMEiDBTTUiDiDquSUqVtFcoL12MlL0QxLBKiGO/aAwMPwQFXoXnvVkghDig1UOWFdyl9BhYlgFRQImbyl18QvhKbSiW0wCAJyFCTyOR15Ak+KrXNOYgw3AQIYYCSgGhhHqeQ23XoNby9Wk55Su15UIsV0b9EDL4J8v3Dw9ZRli+nziAf34PYQghJLZjuInUuWtp11W1vVTJAgAegwyzD2tyGKlSiIuGO+Xe7lvYaLgbKaIfIZbnO5u2Ace1jDOjT1pjswfN4cn97mJ6jFTM/Gs5YesVSkk2EvgwUuUQ8IhHLLtUPdZOhTqOQT3PqRYX8CoSeR3ynAQxZgGEyFlMj73S56dXLCet0ekX3MX0mD0TP+UsJIe8XDEORV5lgnr1OeDX6lAmP4cEXoUsI1QGzj30WrX3lQLjatrg4ow14QuxNaKMLcsglfOVOwBUfXooocTz6OsjSa+O0SCSJD8xzDwUBA0A8LIqHiYc7ACeZ/NNDRux398IALxq6e6rxeUJHtextFXr9ge27Pwf5vz0IS4c7fEq5aSTy04D4jl8JLYSC6LmmUaBVfVaz7aKEELEqFoMi3IIYsxCzPDVmxezEGF2+aFBgEdcSjyHuq7llgpxO7U0TJxrL3EDAFDPrKQxx6uMoteZqYXTjCAHXLP8spItxHBidOvN7ZRST65v24l5yX+xDf7yxqsMqTk6/kz5zOCDxDALkGFMNhLuklb03iq0NG8lppEnplUkll3KPvzYn5YHTt5//saDGB+tnDn7U/8tb/pzNhrpZoKBFr6xYYM5NXOIlMtpNhLuBBgzct/qt5SOHv8WAOBlunDIYA4KvGqOjD7lZbPTxLLLuSf3/XXwzbd/npjWZWdWKfFcgBHD1deu8YrFRcTzqrCheas1M3ukcnboYa62djUSRN1eiJ/y8vl5r1hahDyvctFID9/ctFkUunQ3l5tDoqC7mey0Pb9wEkCIudraNVxtbPWyw/rLOpOsosdCa3f9jtLQscdMx8+UpoYfVVt6bi5ODj1iphNn9I7V91iZxbPJY/s+hzhejW2/7a9rrrvj88rMyBPpgee+ABE6cbmOM4QISXUt2wKrtn6IEeWQlU2OEM81GVmLIczwlFJSmhl5srIw+bzWvuoupb59txiqXR3q3/mJ8vzEc9mho19HDLvvSlVDdiE7Q13HtAvpyUp86gVAAVAaO/aqLb23hjde/8ecFmgmtlmsxKcP4lJuzkwvnsmePfw1Tgs012y/7W/DG2/4jNqy4vbs4Iv/wsraT9xKcYkPRHvC6/e8TWnsuoER5RBkGNGITx8qz40/45nlFESY4/zhTqWhY6/Wsfoe4thlzyil8iMn7+f0wL/Y+czU5fYZAAAQL+pCsKY3d+7E9yvzE8/KDR17jMWZI4jl5cDKzb8T2XTDnwBKibE0d5zTg62MrNbgXGqM94U7GFmtSQ8898XC2OkfUUo8tbn75sjGGz/LaYFmzAlf8WzzFRG8rKLHwut2/Y7c0L7HKWSnPdssYEH0MaIcAgAAp5SdTh1/5nNipH693tl3D+8Ld+odfW9xyoV4bujYt1hF+4FTunTVA6WU+jrXMABQmh8d+IFTyE65ZiXrmZUMAAD4etbdF1636/dTx5/9e61tZV14w95+IVy7BhDi2fnMBLGtgtLUfSOnBpqNSikJMcMjlpPFSF1/ZOMNnxGjDevsQmaaUuJCzPDErGQcNzfL6cFWiDDLSGo0feqFL1uZxaHo5pv+pxRr3vrLJwNhMdqwgRLPrSxMHtA717wdIswhhpOEaM1KzzKyWJD8iOUkK5cac8uFeHFm5EkAKAmt3fXJ4Jrtv+dWSkkAwL9f7jgTxyoHVm0ZVZq6biyMD/6Eeq7NSErY37vxff7ude8Ww7WrhWBsVXl+fH8lMfMiSi4MZIePftPOpsb0rv53RLfc/GdyfduuwtjpH8m1LV83FmeOQMzyWvvKG32d/W/nAtFuzIt+t1JcLM+O7bMyi0OUeA4WpIBc27Jdbe69BXO86jlWyVycO5Y+9fyXEcM+cSUShVJKiGuX5drW7XIhM0Up9XJnj3wjtG7XJ7Eg+mF1du+SgBBBMVK3NrLpxncoDe27hVDtKoAQQ13HIJ5rGcn5gcL46R8DSonc0LE72Lf9d/WONW8rz4/v5/3hH1rZ5CW9xDAv+ikFwMqnJzg92EKJ53qWmWNkrcYtFxKcFmjmfaF2I7lw0kwtnLLz6QmtdcXtjKTWCP5oj0k8Nz1w4IuMotf5etbfp3WsvttzrCIWpE95ZuWiZe0UAIp4UWdlvTa4ZsfH9I6+txKn+o6tpj8S160UEo4g+ZlKKcbIarQ8N/ZM6ti+z8n1bddFt93615c7XgAAwOnBlvDG6z8o1zZvsXKpMc8284wghxhBDlBKqV1ITiWP7vtbpb5tt9ax+m7OF+n0da97t51PT+SGj32TEeUHrqXS7kJcfz1/+/Yd/PUcD/hEgsyLIpWCIRSRJag0NOCWXJ5kjh/3Dp054xw/c9o5nk6TpOOCV00svVoghpONwuKw55hFCBEGLzFn/XUAs4KGcJXQJJ77uknnXauSquQXz3jOLyq6OVGN1Xbv/hQrqFGzlBq9ekeaNyaW+3IGuAqS+aq3WSU2zlxhtfO/+bLBwyuFM5s4tfj5r99WzYYnHiCUUEopRBACCNHyAsGykoZSSoF3dRKgl4KUjRx4A5nkL5M956s4AADVycFlIgYCj1wTYbgsjywvL6/6HC1XIJ196ecQQQgAhK+1ZHt5e6/LuVpOC3YAAG+I4oALq/zEaD2S6v0xZDEAACdTHjr2jezQ0W8CSjx63jT8EhK+1wLOUuZKZL4HAEgvL68KxLBKkGE+CiAAgFACKPUoIXR5YvmCZwGAAEAAIYCvxWTONYMCYJZJiQIAejfI19ENMkUQoD33BCvEox7CkLnh7QHx7JHycwCA06/LLll2mdp2BS774kmrVtzJBoP3u9nsNCWEIp6X2ZpIj7pt833EqEq4IM/L4HX0RLyiiVVlanSf3r/p/aw/0IoYhuciNSutxfhpp5Cf09du+m0+UrMqcuOdI9E73tELly8KLMkhxPMqhAgDSilkWIESz4EsJy1fLZC4jgERZollFqnrVBZ/9sOPgFfjFUApIY5VAQhh4tglzhdq13nRx6q+h0hVRkYBQgxmOUXv7NvNyGrUTC2coq5jUnLlB7ubzkxSxzWMsfFnAaVEaGrc6L/lprvFrs4b2Ei4ixhmDgm8CgAA2Z89+iflU6d/yTB5+eYY4OtqPxN+z7u+re/Z9fvW7NxxrrZmldDaugOJgk4dx6A8r/JNjZvAxQgejDnE8Qrj9zcywWArIMTjGhvWY7+v4ZfSMS4CyDA8KVfS9kL8tNDRvhu4rmWMjj9jz8we9t94w2eJaRaT3/rue5yl5DlSLqeIZRUhx8najm2/q27b8uHK4NmfGudGHvcKVdkWZFjBzWSnS8dPfFfdvPF9SFbC4CUED+8Pd9Rsu/UzkGHF5PFnPk8cu6w0dd5oLM2dYCQ1WtOz7t1OMTebGz7+HSnWtFlvX3UX5wt3ENssqk1dN3F6sHXu8UubOGOOV/y96+8JrNr6QT4YXWHn0+OY41VGVCJWZnHIMyppVtHrsCAFxZqmTUKwZoVdyEwWJ88+rLWuuJ1V9Nqarbf8VX504PuYE/7P5WQpECEGcaJWnBz6mZmKn2FlNVrGDK+3992jNvfcnD934ntGcn6A04OtlYWp561s8pyvq/9eIVS7GnOCZi7Nn7ALmanw+r1/pLasuN1Ymjkq1TRv9sxy2konBk3iuaXZ0SftfHqCVX1NYriuj9hW0UjMHMYsr9j59ERpZuQJpaFjT7B/x8c4PdDCaf5P24XszKX2GQAAWFmLIY5XxUh9vxCM9pjpxbNmcuGkWNO4gXquDRlWcI1S0jVKS+XZ8WeI55hiuG6NlU+Nm+n4acRycqBv60ecfGYyP376x8SxK/6eDfdRQhzEcl+9GlIWIoTEcP3a2HV3flJuaN9NXdeECDOYF3TiOEZ5bnw/ZFgRMawoRhs2SrGmTYACmjt3/LtiuG4NZFjR1732XVJt81YxXPuXZip++lKzJ5R4DiXEyw0f/46xOHMEC1JArGnaqLX03iaEYqswJ+qcP9IFMeY4LdBcmhp+NHn06b+hlNJg37aPAEqIWynEiWOVnFJ+zr9q8+8AQtzS3NgzuXMnvmfn0xOAeI4Ya96iNnXdyKr+xtLMyJPn/wchhIwgh1hFrwcQYnCh5MDz3ODqrWkxUt/vlgsLxanhR+18atwp5mbU5p6bKfEctaX3dkopEILRFZ7qa6wkpg6K0caNgBLPs4y8r3vtOznV/+R5mdWlwEhKxClmZ3PDx74jxZq3mMn5AaWp+01yXesOACjJDB7+d8yLPkA8Jz959mcMLwXU/h0fEwLRHs8sp81U/JQQjK2s2/vWfypOn3sMc7zG+UJtVnrxLCXEM5bmjlUSM4ep51pitH4dr0V7KwuTByoIMQBhxkzOD7hGKRlev/dTtbvv/lLi+Z99GiJ8P72MZIQSz3VLhQUxUr/WNUqpwtjpBxhFr2UVX52VWRq6XCoNYjlR71pzp6+z/x1Wdmk4feqFL6utvbdJ0aaNECHWzCyetTKLw1KsZSur6HWlmZGncqmFb2JBCgrB2MrIphv/VKpp/KKxOHeM0ot1oCGodq8BcsuFOKDUM5Zmj2FeCgBASWlm5ClW9dc7+fSkXchMclqgGTKsWJg8+1NzaX4AIIjkWMtWPhDpsbPJUTubHNE7Vt9Tmj73OITwRxe7nu3s0jmloX0Pp/mbnVJ+Lv7cg590CplpzzJynC/UrrWuvJ0PRFc4hczk0qHH/n8ztXCKeJ4NGU5iFX8jYjgRXOI+gRgzUqx5a+3ON39Cqm3e7llmHkDEMILk98xy2swkBjEnaABAKNU0bhJjTZuI6xi54aPfkutad0CEGP/KzR+Qalu28f7wn1+OHLsSVvWx62tqUJ1h0Irfh4IQAZTJkORDP7V/cOaMcyK+4M3m8zRLrs288jUDhBAizAoQYQ5ChPVYlwgoIAhhFoDqtYlZXkG42t8hrl0hxHMghBAihocIMRAiRCnxiOeYlBAPs7wCEeYggJACSqnnGuclTue/hzArAAgQ8ZzKLwy9MYNZXoUAIuK5JvEcg1JCWF4OU0o916qkiVclVCFE6PzvUM+1PM+uUEI8hFkB4aqHAKXUgwBAQlwLQsxCjDlYbRMlnrO8/erxR5jlEWYECBEmnmMQzzEhYkZssxAnbtULAkIIGV62cvHhRyjxbKucnQYAoPP7zvJyEDGcwnCin+GkgFXKTFqV7PSVqjR/g1eHZQPYlxHty5974A1AUr6eWO6j/6fwuFs+R6/rMxBzggoxwwNKyfkqXc+qZP8r+gJCiBgAILSz6THPqmR5f7SXuq79ayU2rgIQIYQ5QV/uH1GIEEtc17iSnPpi/l3Lz3gK3mD3xPQ543TPBnlHbTPfkc+4ScxAxhdkolqACTsWNQECCCGI5ies10zWdyV4udysVywuQo6TnMTiWez3NWp7d/0BoMQLveMeTr/p+qyTSAzacwvHIcfJnmFkQTozRa9R/XAtuCLB45VLS8Uzx7/r27D9I4AS4lUqKdYXbHaL+XlW9zdJrZ17pab2nZQSD0AInUxqnFH1WmJUshQDYM5NH+IjtauLZwd+wMfq10GEGCSIujk//SIfre0zZiYPqCvWvB1Vy5uuGZQQtxKfPsj7w53EtsvG4uxRpbHz+vC6PX9IPcegxHMBrfZWrOzSsFcpLTn59ATnj3SZqfgVGT+vWEy42ewMVtWIsmHdfXxD/TqsqlFiWcXK4Nmf2rPzx5SN69+LFDnkJFOjlzK/sxeXhiuDZ3+m+rbUe8ViAqtq1CuVlqypqYPm5PQL2tZNH+Dr6/ohyz7w0uhOiBADWUYghpknFSNLbbsCmSrZQq1Lx+RBlhWRIGhI4FXqeXbusSf+nItEuqW+lXcxPr3eLRQS+aef+Tsvl59/yUCjgETxS1xdrE9obdnu5QtxJ5EYxD5fAzHNglcsJtxMdoq6no3EX5YDsLJWU7Pj9s+yil5fWZh6QYo1bWFVf5OdS40yohyS69quM9PxM3Y+MyVGG9ZjXvRBhpOzZw9/rbIw+bwQqu0LrN76wUt5SCCWEwMrNr3X17v+PU4+O2XlkqPG4uxRiKoPabW552bPNvLm1MIpIzk/wEhq1K0UF6nrGBBjNj9+5j8wJ2hSrHmrr2vtO4ljVxDD/tOlqgwQw0kQY14I1qzUWnpuc8rFOKvodRRQCiilfDDay2r+5vL8+LNYlIO+aMO77GJ2hjh22colz5Xnxp7l9FAbYliRUfT68Lo9f2Aszh41S/kF1ygnnUJmSgzX9gVXb/2wU8ovVBLTh4hjl4VQbJVTys+X41MvsIpeDxlWNJMLA2pL7y12MTuNOf6vPPvS5x4LcggxnIR50VeeX9iPMMMjSYnYufREfuzUA04xN1ecPvcYFkS/2txzi9LQvssp5matbHKUep4rRupX2Pn0pGuW0/7eDe+FEDOpgf3/oLWvututFJcgxvdfqVReDNf1R7fe/OcAQlycHHrErRTinlFOebZVUBo69mJe9Dn51JiVTgx6ppEltpmnlHrUcy0ztXDaqRTjalP3zUIg0h3ZdOOfxPc/+EkAwEWJLUqICzHDBVdv/ZBTXnkn5wt1AOLZVj4zaaUTZ6Talu1WOjFIXNdEDCcTxyoJ4do1jKzFeH+ki5KqjA9AhCFmeF4PtZvpxBlO8dVbqfgZIRjtVRo7rxdCtX2s6qunxHPEaMN6xLASgBAxohKuyp58DeW58WeJ/cvEq2uUM8SxK+mBA1+inmuJNY0bfD0b3sMqej0EANJlw0lOD7a6S3Mn5NrW6yigxMosDQEAgBRr3iLFmrZACOcuRXJBhHDN1lsUxPJKcPXWD/HBmhV2LjXGSEoEEOJBzPBa28o77VxqzEzOn1AaO6+HCLOuUUoCCFHmzKF/pq5rkUjdGs4X7tQ7+94KEeYK42d+7DlmsZKYOgQxwwf7tn4EC5LfWJw9aibnjrOavwkLUqA4NfQIoJTwwWivXUhPsrIWi2zY+2krszQMLufVRYjrVoqLRnL+RPLo038NIcKiIAUriekXESdoVbnpy4EYVvCv2PjewOqtHyrPTex3Svk4pwWac0NHv1lZmHqBEeUQpZTwvlAbp/oa7EJmWozU9ysN7bvzo6d+WJweflTvXPP26NZb/mLh6R9+BFyEXAcAAMQJun/Fpt9yy4W4XczNCsGaFayq1xuJmRcZSQlbmcVhxHKyr7P/HZ5l5Ox8esIzKxmIGR4LUkCMNmwkrmOUZkefEsO1a6pVdJveX5o+9xi4yIwmZDiJlfU6p1RYwIIcos78ABakgNa++i1STdNGTg+0QMwIECGsd655m9a28k7ECTqnB1s4X7CNWEbONUqLF2uLXNd2XWTTDX9CXccoTJx9yClkpohjlz3byKnNvbdAjDk7mxo10/HTxHUM4trlqhEkcSvoTVX7AAAgAElEQVTx6Rc9y8iqTd03iZH6teENez/NiPIfuMbLq2WvBn4/CnIc5AkFZGzMHX7qSeuhs0POyXyOZl2Xvm4ynCuBE/VaNdK2U9TCXSyv1lTJDbvMCmoNRIgRtXBHuHndXi3ctsuq5GbziZHHMcsfZHhZ9NetuIPhJD8nqDHXNrKFpbF9COEXg41r7mQEJYIQ5jjJ32jkE4OY5b/hOVaJk/2NWqhlu6hFexleDJQyc0cZTnyAEs/Sws2bfLGemzlRqy1l54/n4+cegwidCzX2O8S1ioRUByUIYUb21/XpNZ03yL7aNUZhaSgbH34EYWZAi7TtUEMt2zHDKY5VWiSeaxWWxp8RlGA7J/sbIYSYl4MtVik9npw88jUAQIaT9NpA/codohbpYQU1auQTg6mZge9LvtgqPdp5QzE1+TyE8Gec5GvQo+17fLGeWzlJry0mJw+UMrNHGE58QlBCsUjrxveLerQXUOICiLBjFhez84MPIsQ8fCkZ12/wG/wGrx8Qwwrh9Xs+QSkllLi2EKxdxYhScP6pH34YXMon9D8xKCEuYnnFzk8dpK5jcv5wO3wd5TTXCk4PtQX7tn3UrRQTEEIs1bbuMNOJQYjwH75Sz8I3Klge8nqQiZQLXg5CCP1hthZhiBdn7QleRHIqbs9E6vkWScWvyHPw1cDN5efdTHaaDYc7+LbWHcUDB78idnfeuGwlQO3ZueNY12JeqZxWt658M0CIzT30yGdptULvdcGVY+ggQpWpsafVnr63iI0t27EoBz3TyDGqXluZGtvHBcOd1PNsYltFLhjuKg6f/jEfivQQy8wzeqDJWkqcQbyoe5aZt5YSZ1hVq2X9wRZi2+X8wJGvOdnUGBeuWfGqYxKJ54nh2jO8P9yBBdEvhGpXpwcOfMnX1f8ORtZiEDO0OHn2YcQJqlPMzMj1bTt9XWvvpYDS/PCxb19x+x5xiW2Xufq6fi+fn3eSqdHK2eFHSKm0RD3Pltf234t9eh2gAMDLxckR4trz8ZNIEHSsaTFzeORxpCpRLIo6G/A3E8sucvV1/ViWQuClCSEQQogQUzo+8H1q22Vp5Yo72FCwFVBKyaUJHohFQWcj4U6AEEOKpSR1XNNOJAa5uthqobV1R+r7P/ygm81d1M+AGEZB6un6t/B97/omkiS/my/MG6Pjz1DXNQCEGKtKpBrJ+otUCczxSnjD3t9VW3puJY5T4bRgC/EcMzt45Gt2LjnK+UJtbuXkklMuLDCiEhEjdWulWPOW8vz4s8bi7BHPMguAEu+8183FoNS371aau2/KnHrhK55tFjyjkmFEJcTIaozYVqE8N/asEK7rU1tX3OHrWX+fsThz1EwlTovRhvVuuZCwC5lJKEjBpcNP/IXesfqeYN+2jxpLcycghAcuNnBGnKAijlekWPOW4tTQI3Y+PaE0du4tz44+xfsj3ViQgqWZc0/YudSYnc9MOsXcnNraexsfiPakjj3zOUAplevbduZHTt7v2Wa+bs89X+H84S6AMVcYO/Ujub5tJyOp0ezwsW/ZueSo1rbqLrW552Zjae54eX5ivxCI9rpGKZk+sf8fPMcqhvqv+7iva927yjOjTwEAnrrIITp/LlSIEFueH99fmhl5Uow2rEeY4T3TyC4dfvKvACWe0tB5fWjtrk9Ua+sQ5vRQG+IEHQuS38osnXNKhXmtbdVdCDNc7tyx75Rnx57BghQM9e/8uJ1LjUEIj16KbGBVX11s+23/o7I4c2S5Ys6gHnE4f7gTUArKC5MHxFBstRCu69daV97pFHOz/5e9946y7KqvhE+4ObycX+XYFbs6Z7WkVkuggAAJMBgwmOiIx/hjPDMePINz+ByGcRywwQxBAhmBhIQCKLSkztW5uqu6cnz1crr5nnvmj1ctWq3qFmAja7HYa9WqtWrVDe/c++49Z//2b299ZfYlxHIyq/jT2tL085wv1F6dvvBtSlwzsnn/J4MDOz6EMPMH61V7qUds6hFHiKU36ecXT9ZmLz5mV4ozYiy9WW3tvb02e/Exz3UMtbX3diO3fKa+OPWcmV85ZxVHv8Iq/rQUb9nu6vUsoJ5XPPvi35uFzDk+EO1J7LvnT7lgpPtlX5lGspjh6xi4h/OHO0rnj37eKucuAwAhK6tJRlJjRnZx9FpjZGLpxYZXyub3YEEOE1Mr1OcnvudUi7PEMsoAUI+R1HhwYMeHxFjTFs8f7vBss2qVchOsGmwB1CNKa+9ttbnx7wIA1q3QQMSwiOUVzh9qw6IcqU1feBTzYsBea/sS4y3bzPzKOX1l9rBTKy942cVTUrJtl69z8F67lJvQV2YPhwZ2fAhxgi979InPhDfu/RW1re/NalvfXdXpC4+waqhVjKZH7GphpnD2pb9jlUBzsH/7BxlRjpQunvgXxLACIylxfWXuSPniyf/LB2O98V1v+kx4ePcvYUH8FDHXT9qglFJfx4AOEebVtv67XK2yDCDCnD/c6er1VXgdBY/S0n0gPLL3Vykhttrac7BGPWKVspcgwozatuHNjKTGOF+ozTXqObucn8Kc4EOCGLCKuQkAIQ4N7vooAAAykhLzdQ2/HSL8F+tNjCBmOMwLfrtSmOF8wVZGlMOMqESFSHLILGQuyKmOvZw/3NlIQvOIVcpdzrz46G+L0aZNgb6t7/McS6tOnX+YldUkH0r02ZXCDB+M9QqR1EYAwIvXHq8+d+mJ6uSZh4hlVtO33v83Urxpa33h8vecenlBW3LNhqFy0xYx1rS5On3hkfrc+BOUuBYWpAirBptdvZox8yuvav/gg9GuxJ67fqk+N/6kVc5d9hxbAxRQPhjtBh71tKWp58VIaliMN2/1dQ+93S4XpvXM3BFWCTRjllf0zNxR1hdqK4+PfgUxrBQa3vPLgd7N74EY//2P44ty7qxz8sQx+4WjR+3nZ2fJ1BuJ1LkChFkh3Dx8M+alMMOKIatemIIIcwBQ6hHH4ER/Krlh/29R4hhGPT/Jy8FWf6LnoOvoJcyKfsmfHPJcW9NKS6cQw8mCGu2u5WdfquamD2FW8IlqtFdQIt2s6EuyvBLFDOeFmoZvYkUljjAjWFp5jpeCLQwnBUVfvD/Suundll6at43aihJq3goBgLZRWSSOWaHUI9RrtNVIgeRwomfvrztWPWvWC1OCL9obRBA7ZnUFYU7m5UArABA5tl5wbX3FtbR83dIKuJq9yCuhDkGJdLGCkmAFNYEQroaah/exoi+FWcFnaaV5VvSnWV6OYqahXmZY0c9wUjDavu0DvBxosY3KYmX18lNyIDUSTA/c6xHHdC09z/BSCCLMVTJTz1DqeXIwvSncMvLOemHuCABgXVLyZ/gZfobXD5gX/WKsaVP+9KH/LYQTA5TYBiMlkqwabAE/jQQPcUxiGxUhFO/Dohx16pUF8Dorpn4ccL5QOyMq0drMxcekVNtu19ByYjS1EXG8DwDwH5o8+u8BUcbK2z4W+7DiZ4KlnJtp6xNHFifNsflx4zxxqQMxRKZGtPlx8/z8ZfO12l3/3UAJcbGqPM4dSAxy6dQIG4v2WLNzh7l0asTT9aJnWlXsowm+KTUCAID6qTMPWgtLJ1/PsJ3XiklH/s27PhTYvPPDbCDUASDCbr26AhlWhBAixLKiubJwAjKsyPpDrW69lmFUX5KYRrFhDOXaWJRCRNcKWJIjiGNlp1qeF3HnTVgQ/aihPhEhgrihvPi3wSpmL9nl/JSva/g+LhDprs9PPG3kl8+KAEKrnJu0SrkJzh9ql1LteyBiOEZWk7mTz/65XSu/dhoHbCidhfa2PfVjJ77oZLPj9nLmnNDZvo9vad7KpVMjiONkc3LqOWt27qXr7YZ6nid0tM9RxzWxosSk4YF7qe2Y1tLSqH72wrfsbG48cOCWT2FVjYNXR8BSSqmn7trxEcRzknb23Dc9XS9iv5q6XkwexIiFLCNIQ4Nvc3K5cSKKAez3pahHHL69bbc5v3DcLd24zcfJ5SdItZphQsFWJEth7FNrbCLRjxjMO7n8JAAAII5XAFgzkm3t3RMc3PlhM7d8xiysjhFLL9Wmxx61K/lJVvE3YVEO84FItxBNjxBTL1rl/ISRWz4NPOLy4cSgryPcwYeTQ40J9KvBKoF0av+9v1CbvvBoZfLcN/3dG++LbNr/G+WLJ75kZOaP+ntG3iml2vcaqwvHi2df/FulpecgI6kxf0/8HZQQu3Dmhb8htln1LLPCyL6kXcpPyOnOfeGNe3/FKq6OgXV6XDHP+zzbqpXGjn3BqVcWgwPbf9GplRe0xannIWI4q5QdZ9VgixBNb2J4KYgFMYB4MVA49fxfE1Mv+joH763NXnzc0SrLvD/S5dRK8/rqwnEjM3+MkeSokV06pS9PvyCnO/cn9r3lz1kl0AwasYl0rZ2sqb44+SzCDM/6Qu2F04c+CwCEwYHtH8SccOx67WUQIQYxnBjs2/o+xHBSbWbsUYgZnpGUhJzu2Mf5Qm1Ka+8dfCi6wXMd3S7np+xqacazzboQTQ0rzV03S8m2Xa5WWa7PTzzFBaLdzXdu/wVKHBNzgj80vOeXMs9/+7fAVX3tV4AYhg8N7bkfQAhL549+jpGUWHTrrf/ZNbR8+eKJL/GheF+gZ+RdxDLK5Usn/y8fivdJiZbtcrpjH6P404XThz5bX7j8feq6FmQYng9Ee5xqaS7QM/JObWnyOQjhM9c+LCkhNiWuxYhqTAgnhyBETGhw10elZOsuiDDDqcFWGIxtqM2NP1m+eOJLjlbLAEA9Md68hQ/G+4htlompFwH1vOL5o/+HeoTITZ3Ic6x6ZeLMN6hHbEZSYvrK3BGlufsWRlRj2vL0C9WZse9cSaxaG3e0noyZmHrBKqyccw0tXx4/9YBTK82to8BaEGNNpPXuDzxk5pZO1WYvPo44wbf64mP/TYymRoKDOz7EiEoUXI/gwZhDHKcYqwsni+cO/6PS2nu7FG/dXrl85iFfx8A9tdmLjxFTKygt3QewIIev+JZZ+cz58qWTXxbCiUFKqVedOvctRlRiAABgZBdHqzNj36GuY2Je9OdPH/osANQL9m/7gJzq2ItFKWyVchN8KL5BjKY3uVo1QwytIKc79hmrCydXjzzxP6Jbb/mUnO68CSL06HUl3hBiPhzvI6ZeqM5ceFQIxfoYSYk6tfLCeu1GmBd96dve8T7qOIZr6UXMiX7PdXTECf7QwI4PUwBoZeL0A3pm/jgx9SIfjHYH+ra+H3ie62qVJVbxp6xC5kJt9uLjlHpeeHj3xxhRCgMAXp2O4XmuU68sWYXMecS17oSYEY3s0imIEFZbe28nplEujR37Z2KbVUZUonww1pu65b6/QZjhyhOnH3TqlSUx1rSZmFohe/TJ31PbNrzJ3z3yTqWl+wCE6PC1rWGVy2cfoh5xGUmJEsuoGNnFUW1x6jk+nBgwVhdOCpHkAKcGW12ttlqdOv8tfWX2ZTNUCBEC4JWpRAAAgFheim078AuuXs+WLhz7Zz4U641svvmTdil3uXL5zNfFRMsOf/fGd7hadbk0duwLQjQ9IkZTI0pz9wFW9iVXjz75GWN14YTnODrmeIUPRntdo74aHNz5YX1l9jAA4OS61/UGeOBrxj/ZDrUcmzoI3bhiyjCQYRjAEAKI49DXTenBSf40pcRlWMFXWr74SL0wd8wf7zkgqOEuSikRfbE+hpOCVr1Qdm29yEuBJskfH9BKkU5brywhzEoMJwaq+elDVnHhmGPV842QuGBLsGngXow5ibiNaGBWUBMAIswIcoRhRX9h/swDRi07DiHCAEKkhJq2UEpc4jo6hA5g2PiA5E8OsYISZ0V/CkLEAOoRzHBipG3zFogQ4xHHJI5VERHukQOpjZwUaKaUOJZWmgUAgFp26lm9vHLOI44hBdMjoabBtzGsGKQesSn1HFZUk8Qxq6ygxBmG95WWxh7VSkujEEJEXKsuqNEeABp0lxxu2eGLtu9jOCk0dezBX9TLK+eSG276TV+04yYl1Ly1nJl40rG0PMOJAaOSuWDUcpcFOdSGGF5hBX8K/JQRPEww2MwE/E1r3jYAUEqdfGGK1GqvesZgRQ6z4XAnwJgBgALPMCtOvjB5rZr7Z/gZftKgHnEZWU2m9r/1r4zc0qi+MnOYD8Y3MJIc/Y8+t58E7HJhavl7X/84ZFgRYYYjpl7yyBtfTUg94sjN3bdygXCntjj1nJlbPMUqA2lGkILgp4DgCUSYeEuPOLi6YM2EE2z69PPVJ156vPxgreS+bpHo1wOp1XNMMPhZ1XENedPwO5xs/jIA1GMT8X4mGGyFPK8w0Uh37cUj/2CMXfru6/0cvyGpQj3P8w1uLrOBYBug1LPzqxc926q7+ewlYmgFJEhBZ3HuCB9LDumzl59R+zbeTzQtr/T031M5fezzWJKjrD/Y4ur1vGcaZS4U7XHcoqVNXnycUgqE5rZdkG04zkOOV663KPph4RHXRph5EGKGD2+66ROx7bf9V31l9jCAAMnpjn18INLhmnrJ37Xxfs+2qrnj3//j6szYd27kC3EFECIMWVZ0K5VF7dTpBzzHNblkYhAJgt/JF6awT00CSj1rYfGkW6ne0GjN040yqZQXkaxE6hfGHtVOjH7JyeUnkSQGueb0ZqwqMTYW64UQnnpFbKjjWp5hlqllVY3pmUPUtKpsa+sOxPMqddaPskSi6Pdsx9BGT33FnJ07Ql1iiT3dB7hkYogJ+Jsqzzz/F6/JKFJKAQUUeB5hAoFmxHEyVn0JfeziY0gUAkjgfZ7ZMFeECLO+zqG3IoaTnVp5oTJ+8it6Zv4o9TyPD0S70re96//woXh/+dKJL60e/u7vWsXM2LUmyohhebW97y5/98b7r21xQQzLhzfu/Tkx2bpTz8wdDQ/v/ric7thn5pbPakvThyKb9/+mnOrYkz3+9B9Vxk99zSOujXnx8xBjVkq1703svvP3ldbe21cPP/5pMZoeQSwr1RYmnuaC0W4p1bZXSrTuAAA89qpx5AQfdR2TD8X7Ipv3/ydimRUzv3JObet7s9LcdauUatutZ+aP1WbGvmOX85MAAOrrGnp7aHjPLwNKiZFbOmXkls8yohKhANCVQ9/+Lc91jPiOOz6tr84fr81efDw0uPMjclPnTdXLZ//VrhamMS8GpGT7binRupNYRgUQYkOWk+rzE0/Z5fxk+dLJLyf23v3HanvfnQCAB9a9dhAiiDFPPc+tTp172KmXFwBEjF0pTEuptj2MqESp6xjUI45VzI6vPPvNX9cz88co9TzOH24P9m19b2ho18cp9Vx9deGEEIr31WYuPGqXC1NSqn2Pv2vo7dVU2x4AwCPXHpoPJfpDQzs/omfmjvo6B98qxtKbIGaEysTpBzlfsDW69ZZPaYvTz2ePPvE/7Vp5EWLMYl4KMoIUiu28/dO+rqG3VafOPezZVlUMNG8zi6tj1enzD4dH9n3C3zX8diOzcBwA8Ir7gxLX9hzHcLX8lOdYdSnRsh1izNVmLz2utvbeDhlWWH3p8d+BCLO+ruH7iKkVXEPL8cFYL2JZsT438dRV6o3Gb4+41POI0tJzAGKGr4yPfgVxgh/zQgBiRiCGVrhSMX/5PK7zHDPzK+cXn3rgw5S41o2+d3Y5P0mJa8nN3bdKqfY9dqUwra/MHTELK+cRw0lcINIFrtNKBBFmEcsrlLhmZMvNn5TTnfurU+e/xflCrXJz180ML4XsWnmhNjP2aG12/LvE1AqsGmwJDe38aPq2d32O2GalOnn2XyFCGAtytD4/8bSemTuqtPbeHujb+t7FJ776ASyIwei2A/+F6Foue+zpP/RcW+eD0V5f59C9fCi2wamVFiDDCk6tvGBk5o8Q26yqrb13hAZ3fEhfnnkRrEOiQoigf8MmhTq2Xpu79IRdyo3bpdw4ZFgBIsxem0oGAABSqn2PGG0aIZZepq5jOLZdx7wYlOLN281C5nzu+NN/ZJVyE1eN9TE+GD3WfMd7viilO/aZ2aVRwAABIsTomYUj1PNcIZIaBgA8fe2xPNc2XK2aUdo23OE5llaZOP0A5wu2qe39dwKImNLY8S9kjz75mSuTQlbxJ6PbDvy2v3v4fjHWtNnXOXivVWy0B4cGd36YkX1JCigVIslBxAs+cI3J5cvvJUo9jzgGF4h08cFoT2Xy7EOUuAbiBB9iednRKiuebb6C7FvfRwgAKd68LTiw7QOVy2e/4e/d9HNSvGU79YhTnjj1NTHevDWy+ebfrEyceiB38pk/c/V6DjEsjzjexyqBpsSeu/7I1zX0ttrM2KMQYY6RI11GbukUM33h0fDGPb+itvffhRj2wnqG9QhB1NKC20dG2O2qCn0XLjinR0edowAAsHEju3VwiNn8id9Q5N/8pML+2q8rpmlSwzCobtvAYhjAqir0SRJSfvOTCgshgOfPOaMAgIfW+4w/CSDMiiyvxjDmZFsvLbi2UQ63jCBLK802FDy+FIQQe8Q1bK005xjVZc+1Nb2yesExa6sQYT6Y7r8r3rnrY2a9MKUVF05YWnEm0r7l/UYlc96o5salQHKjEmreUgaXHkeYEXgp0MzySsy19ZJrN9LsOMmfRKzgAwAC4hgl26gsm/XClGNUVxyznkWYEYljViFmeMwKPoaTQwAg5Ll23azlp2yjskxso2jVC9NADrVDxPDEMcqOWc+5jlnjlVBrrGP7h8xa7nItN/MCr4S7/LGuW6rZqecgwhwr+tO86EuVli8+6to/MAcPpgcIYljJ81yLYXlfZfXy07wS6fSIrVPqeeHm4Zk6YgXMCX6EMAsBoK6lFxFmRWIbRbOWnxT98X6Gl0Kv1zV9vaDu2vFhsbf7Ni6ZGHTyhWlq25p25uw3AAB/de3/yhuH71N2bPugZ5gV4BEXQIRKj333v4Mfgzj9GX6Gfwuo5zme6xja0vQLnm1VxUTrDkZSYoj7t9lpvFGxpgi/YbH7jQjqEZuYWrE6ee6bWJQjYrJ1J+YEH2Q5+T/63P494FHgsRzkXYfa2QV75tlvFr9oGd7r1ub0WnBLpQWI0WeYcKgdBwLNiOcViDFLPY+QSnXJyeYmPOPGfkg/KbymasZaXT7rWVZNm554mnrEIbXqCqP4EnY+O04JsblQtNtcWThhLMwexqIUghix5vLCcUpcu3bx7ENyR88BNhjptnOrF51KaY5R1ETp+AufVbr778aiFFR6Bu6hnkew8LJJ1L/J3GmN5PmSsbpwQggnBrAohQGAiFhmGUCIKHGt7LGnft8q5SacWmn+h442xYhBPK+6hcI0E410K1u3vJdUq8v2wuIoUtU4G4/3UUo9+kMkDnimWXFL5TmW5USIMSN0dx0QOjtuEnq6DjDhUDt1XYtva9mhnT7zdQDAy+QTdR3D07VCffTU19x8YUrs3/Bmt1RacFazY+B65oQIMdR1TTuzOsb4/WlpeOitnq6XEM8rkGVFUr1+KtFV+8CQ5xS3XFlysrlxz7LqWFUTvpv3fYLx+VJIliOesdZ2gTArRFLD1alzD2deePQ/E8uocP5Il79zcEOwf9t2VvGni+cO/2PuxPf+yNVf2b7y8vi4joUw84i+PPMiMY1XsLR8KDEQGtr1Uc+2NVbxN7FKoAnzYgAxrKC2brhDaem5LXv0qd+rTJx+8EoLz5WoZ4jxo0Iw1hsa2vUxzh/ugBAxrlHPQswIdjk3wci+tL9n5J2I5Z69NgYcc7zP84jt1MqLhTMv/R2r+FLUbRgEC6F4f+niiX8pnn3p7xytunKFIGBl35H47jt/X23vv9uzrbra0nMbxJiza6V5YmoFIZIcdI16rjZ94RF/98b7hGh6Y+bQI58yckunr9yXmBcfqs1dfDy+803/I7Rx769oi5PPYF4Mqh39d5fGjn9Bz8wdlZu6bsEc/531vHhcQy+4hparXD7zdadWXsCiHJGSbbsDGza/R4y3bAMesRHLq1YpP7Hy/Lc/qa82yB0AALArhRnEcH/u1CvLsR0Hfyex584/IJZZIaZeCPZv/wAWxCBieUVt778LIvSdq0kNzPJycv+9H2dEJQYhYoRwYoDzhdupRxw+GO3xd298h5FdPLl65PFPX0nGWjOzy0IIc/nR5/+q6eA7P5e6+e1/7bmuRUytACHCxNLLtZmLjyktvQe54NF/AgCMXv15r8Q5NwyAiVUrjJ/XFqeew7zod7XKsrY0fUiIpTeprX1vKo0d/6K2OPkssfQihAgXeDHoOa8eQ29NFeQaWr4yPvoVzhdqV1t77xCTbbvWkgK567UPXYu16/ryMwdCCCHDSVgQA4hhJQgRptRzWcWPqec5xNQL1clzDzu10pyRXRxFnKC6Rj0rxpu2AgCeWO8YEGMOsZxs1SvLemb+iJlbPoN5MWiXC5NmbuUs5sXgyqFvfdLILBy7koQGMWacemkxdfPb/xcAlGJRjsjpjn12tTjr6vVVIZIaVpq6bq5MnPoaZBg+smnfr9fnxp8sXTzxL1dSoCDCTGXy7Dca7YOb3y3GW7ZVJ88+FNtx8NNGdmm0MnH6gdiO2/87H4z1AAAOv/rEIcac4IMMK7CyP+1ZZpmR1ISUbNupLU4+C64heDAvqIk9d91VnTr3LbOQOS9EUiNXVDqsL9SaO/HMnwKIEB+KbxDCiZe3QyzPm4XMBbWt706nUpxxteoKH0kO8eF4PxeIdvPhxABYh+BBDCsijlfKl05+RYykNkqp9r0QIcZzXYtSs6xn5o5eXfFz6pUVVvH/iRBJbcSCFMoceuT/43yhNl/n4Ns819E9x6pDhBlWCTQzohwF10sxodTzHFvDnOjPnfj+nwIAgNq24c1Kc/cBLEghV69lIcLs9e65q8er6eDP/SpEDIcYThYiySFWDTR5tlUTwsnBYP+2X6jNXHgkd+KZP3GNegGAxrMYAJCDEOXzo8/+/8mb3/a/0gfe8Q/Uo4QY9RzEmHP1erY2e/ExtWPgnvL46FcBAFut2Y0AACAASURBVJevPbYoQWn3Hu7WoSF2s657WiyOUxwHT9k2td98p3CfIACxUPCy8ThKFYterqOD27m8QhZKRa8gilCKRFDMMKjuEuryPBT6+tlh8DoSPFa9MG0p4S6Gl8JyqGW75I8DX6wrShyzSqnn1ovzxzAr+FhRTWBOCnrEMRDDKxAhFiKELa04lZ06+jlfvPuA6IttUMKtO3kp2IIZXmV4JQZhYQqzgkqpRzjRl6rlZg4Rx6iY9eK0Em3b44u2xxhejkAIT9bysy8JcqidFdQEcawa9YjDcHK4YWZcnMGcGBB9sT69vHK2Vpg94hHHZAU1wXCi3/Ncm+GkMKUeQQwrIYQ527XrYK0VgWHFAGZ4H8PLYYgwh1lepZTYnOhL1gvzR4ljVupGZUkKpkZ8sU6Z4cSgVloalUNNjOdYVQgg0suZ82q0cz9meTXRs+8Tsc4dp+RwczclrulaWp56a6k0DVU043nEcW296BFHZ9ifvsUjEwy0AAAAtR3dLRSnnUJhmgmH29f7X8hxCkSIoY5jGOMTT8mbNr6Li0U3rKWJvqGMT3+GH4CV1Thiedk19aJnGRVKKW1I/sUA5sUAQIilhFieZVaJbZTfyNeSVfxJzh/pxLw4Tx3HsAqZ865ezxJTLwrhxAAjSGGluWu/3NR1C2JYMT/63F862g+K2hAhhFhexbwYgBizDWNmo0Iss/LDFNOvxstJbq8DEMMKrOJPwYbxPCSWUXLqlddeH/0IgBgznBpqYyQ5ygdjvU69sqivzB3lAuFOOd15Ex+M9UKmYWBvFVcv1eYnnrSK2UueY71iPQIhhHw40Q8xIzCCLDv18oJVzk/S4upFyW02OSXQzKnBNn/XcKfS2nO7mVs+XRo7/i+vlRb8RkSt5BaWpq3xll5xqLjqLA3uUG4OJ7izAACAGchiBjAshwRJxb7sojVbXHWWX+9zXEtXmwTXCQT6j8JrmywbeoES4niWWamPn/8WAJQGtu39Veq6pp3PLiKOk4lWz1HPc/WZye+z/mBrfWLsUWpbNY8Q2zONcmDr7o+Lze27talLTyCuRUEcrxqLs0cQxytyZ+8dxDRKkGHFG6Wk/ChYW9ifgRCduxL5+HJEJ6UU0EY05I+yT8gwPJLEoFMozvItzVspITbwPIIEwc9Gwp1YkkIQQox4QX3N87PMmlsqL3i6Uak8/cyfIFmOSAN9d7uF4owxdulxdffOj7CRSNe147Hmb06VbVve55lmxV5YGgUqjuNgoOVKjPurjlWv5yDGLBMMtMgjG+8Xe3tuJ7XaKkCYQZIc+mESxCDCLJLEoLpz2wfFvt7brbn5Y05mdaz67PN/KQ8P3YcEwUdqtQwADc8XxHKKVcxeghjzSlPXzWrX4FuNzMJxCqhnlbLjhdOH/vp65M7L591YKL1Cqg0RQsmb3vI+ACjVM7OHWSXQRAGgembhhJlfPh3o3fTu+vzEk5XLZ76x3oOMEuLywdg3gwPbP6i29b2ZmHqxNn3hEX115hCAEEMAqBhv2SZEkkMAgKNXb4tYQcXslTSqxKBr6gW3XlkSoqlh19KLpbHjX7RrpVf4GDlaNcMHIn/EqoGmYN+W9xn5lXNGZv4opwSaxFjTZruUv2yszh9n1UCzv2v4vsKZF/5GX114RaWOWEYFIvQw5sRAYs+df+i5jmmX85Oe6xhWITNml/OTvo6Be3BDjvkqcsJa84uBmBF8XcP3yen2PUIkNcyqwRa7nJvwLLOidgzcU5449TUzt/iqSaTn2gYjyg+r7f13SYmW7fry7GE+FN+ABSlsZOaPYVEK86HYBkb2JcFVLYVSun2vlO7Yp63MvAgAAFiQQna1OGsWMhc4f6QTC1Io8+Kjv71e7DmllCKGPaMtTT8fGtz1EQAh0pamDtUXLj9NTL0oRtObMC8EfG39d4JrCB6PuBb1PFdp7T2YefE7/6U+N/6k59gGRBg7tdKCv3vkHYGeTe9aPfzd363NXvruNROO9b1hCLEpIRYr+5JSumMfK/tSjl7LaPMTTyutG96EOF4BjZjkHwmI5US5pWeP0tR1K6sGW6REy3Zi6gWrnJukrmNAhpWg6xhSsm2nDgFgFH9az8wfJaZe4v3hzuvtt6Hg4WTWF2zxSUqMVYPNZn7lHBeIdHL+cEfpwpHP60szh64mIyghLsLME7lj3/vD+J47/5BTQ23a4uSzEGFGTrXtFaPpzcbqwglimZVA98Z3AABh+dLJL18d8b02lhOsGvgDPhjfwAci3a5ey7pGLastTT3n2VbdI6695jnzKoKn4TDGSsQyyp5j1YhtVrlgtJcR5ZhnW9q1Ch5GVGNKS+/tnmtrXDDWU5+9+F1KiC3Gm7ZgQQzFdt7xu5Q4ZqOx1XMbBI2gYlGOMlKj9Uxt77uLEtfUVxdPavPjTxNTL3JqoGW9iSWllJj5zHliGiUKqOdolSXeH+kEEEKIMcfKviTEmL06dcOpV5aD/dv/KTyy99dcUyswkpKwKvlJzEshQL2CXclPMrIvhUU5AtYhRtaO63mOrXFqsEWMNW3CghQGEEJtcfJZACiFmOEgwwo3utcghNDfvfFNQiQ1XF+Y+D5kWQlhhrdKuctmIXNejDdvpZ5H8qPP/cUVcueV5+BRxHIvmPmVs/6uobdTSom2cPn79cXJZz3brkuptt2s7EspLb0H1/scGAGUTOKmpibclsmApXKZFN21qHPTpMbSEplzXeBKMlQYFnKnTtlHQyEU8TzgBQIotLRE5hkWstEIjMdiOFku0ddVnk1cW+ck/zGGFXyCEmqHECJKiSMGEoOgDIBWXDhhVDJjEEIs+eP9jlHLENeqI8yKgeSGN/sTPQfNWn6aFdU4wwp+o5Ydr+VnX4IIcxBjLtK2+X1mLTeOMCv6E923ObZeKC6e/yaglPJKuF2NddxEiWtb9eK0XlocRQhzIiv4JH9i0NKKsx5xDAAgMqrZS/54962SPznoRGuZ0vLYIwwrBhDDyVIgOWxppXlKPWct1h1gTvALMNJdxVPPAQCAWS9M65WVswizYqR107uNWu4ygIhRox37baO6Ulq68C2EMMfwclSNtO4CAADHqK5wgj8l+uL9Ri1/2aznL5eXxx71xbtu4cVAs+iL9xHHrDpmLVPLzbyAGV5lODHUCOpuFMQQZkXimFXEsD8VVecrgAjC6Pt/XtBOn/06Ewq2aafPPsQE/GlpoP+e9f6fuq6JFCUCa7VVvim9CfvUOJKlEEAQgzdYss21wLzo50OxDawSaEJr6gG7nJ80i6sXiam/ZqsIRJjhAuFOzh/pYGVfkhLXtmuleau4etHV67kbbctIatTXMfAWiDELIMRuvbrcMPv3COePdDCymiCWUYYIc2Yhc+HqAh7EmOWDsR4+EOnGvBS8Un33HLPm1MrzZj5z/kohZN1ji3Iotv22TwnRps1WOTdhZOaPidH0CaW1N8kHo92sGmzFvOjnAuEut15Zqs1NPMWqge85tfV9L9cdW45X+GCsl/WF2rAghYhllOxKYdoqrl66thh5NRBmWDHZuov3RzoBgrhRJDMq2tL08069srw2djEhHO9nJDWuLc+8oLb13cH5Qx31ufEniW1W/N0j76zNXnrcrhXnqpfPPsQHY72uUc8ysi/B+ULtiGHFxvVDSIimR0JDu3cK4XgfxIwgxpo2I4aTjeziqJ6ZOyLFW14yCyvnr0c0YF70+zoH34pYTgQAIn/v5hLmhEc81zY4X7idVXwpYltViDFnFVYvXm1NcOX+4QPRHizKYYQZjlLP82yr7tQrC2Yhc+Hq+crVgBBCualrZ2hw50cBBECMNW/RV2YPQ8x8hN6gTYsR5ZAQSQ6zaqCZuq5pVwrTZjF78VpC5gpY2ZdM7L3rj6nn2VKydZe2OPUcH4r3Scm23dQjjpFdPMVKalxKd94kJVp3hoZ3f6x4/ujnGVH+26tDDCDGXLBv6/vsSmGGWEYZMbystvffqS/PvKQtTT+PRSUiJVq2O1p1ifNHujzH1q43R0UMy3OBSBfnC7UzkhqnrmPY1eKsWVwdu954vZ7wXOrqdVINxpgkoIDuf1vo/bstz6QUUEHGCstCHjOQcR3qPP/t4pcBAF//jz7nNwpek+ChjmMQvZ6TO3oOcpHYBkCpx0ViGxAnqEKyeSugHpFaOvd5jq0D2qjMyL0D94BG4gYBFFA2EGpHPK9ykVgfAACIze27IYQIspwMWU5iGJZ3KqU5cB2S4ocFYhgOYlZcOw8CMaYAQgQhhABCvLbwkRjJl/S194cRx6uI5VXEcrK+PPPitYvrV+xbkkIAQmTNzh02Lk08BVlG4FLJIaG761a3WJozp2dekIYG7sWyFH6tVjNq2XVSqSwzra3N4mDf3V5dLzjZ3Dip17NMONQOOVai7qsNhiHL8EgUA1wqOaSdOvt1NhLugiwrkFp9FeL1K7hupboMGUaQhgbvtVcyF7h0asTOrI4B1zW5ZHwA8fxrVswgz8mQZQVP14vm5clnaoePfg6yrMg3N20V+za8yc3np0i98QLGghSCGHN8ON7HqsEWRvGnXa26wgUi3VKybaexunDCrhZ/LBmkEE4MKM09B4htVhHLK1Y5N+G5jo45wR8a2vUxVg22li6e+NIVxc6646HXVvXVxZOcP9JpZOaOGvnls6ziT3P+cKe2PP1CaHDnR8RoegQidPzqa4gYRmQUf0qMN29dazEBfCjeJ8abt5XGjn/B1SrrssZ2tTiTPfrk72P+3hCrBNJM24Y32dXSnLEyd1SIpoaxKIUbEeyCz8wvn11vH9TziJRsPUdsqyan2vc0TJOnn/d1Dt3r6xx8Kx+IdmFBDgMAXuUlRSyjDKhHOF+ozXPsumvoherM2KN2OT9FLKMcGmoYzGJeDFwvpchzrLqRmTvqa++/SwgnB/TV+eNmbuk0sa0a5sWA3IhK7gVrBA/mRX9y3z1vxxyvQgCh51hVu5y/TAEAUrJ1p5zu3F9fuPw9q5Rfd0ELQEM5EOzbetjfu/ndxNSK+srcYeo6ptLSc9AqZi9ZpdyElO64CbGs4Dk/mCxQQmzqOgbwiM0pgeZg39b3hwa2W4HeTa6Uatvt79p4f2324mO1uVeRO9eH59rUIw4WpbBTLc67Wm2VWHqRuo4pxJo2I07w/SgeYhBCyKqB5tj2gx+Xkq07nHp1mVX8qdrM2Hfqi5PfF0KJAbmp4ybE8QrCmKvNXnzMrVeXIcvJ1LV14lg1LCqRG+yfgZgRpETrDm1h8hltafoQI6kJOdW+B1Dq1Remnl2vt9wjro05/qusP9QeGtjxITHess1zbd1YnT/mObamtG64w8wtnVLbNtxZPHfkHz3HXnfS61lG2cwvn5USLdv9PRvv1xann+ND8T4xmt4khGIbrGhyeN3KHAQAIMy4Wm1Vz8wdkdOd+zlfqI16ntuIX34lwcMFwl2sGmhuGPdIIU4NtNbnJ56sTp771+LZl/7eqVeXIIK4oRiCSG7uutWuFKYYUY5AzHBOvbqitHTfprT0HJDTHfs41d/EyL4UsfRGwQGAV07SKKUAQgQgAHwg1iMlWnZ4nmtR4lqQF4OM4k8D+upFmLY09XxoaOdHA72b32OXchOI4WWEGc41allWDbZgXvBj7gaFAUo96tgaFuSIZ5s1p1ZepMQxnXplEfNiUIy3bEMMK113ewAAFuWIv2fkHRAhBmKGc6ulecvUCxBCpDR3H5DT7XvL46e+ateu78fmObYR2bz/sK+9786G8fL8UUCpp7b2HDSyS6NuODEgpzv2IYb5vHfN+8uyqHX6lH3UsakNIAAnTtgvXYk9n5hwL7S24g7XpW4+562qKvQJAhRrNVrVNK9WrcJKNIoSLAu5dBNuCQRg6NQpemT9s/zJwdYrywizDyLMCJ7nmiynRDnJn3bMaoY4ZrWam37WqK6OMbwc9gixAfWIbVSWriRtqZG2PZzkTxcXzz9cXDj7kKWX5yytONvw3IHQtfUiw40FEWIF2ygv2nplkVLqGdXsJb28fBYihrf18jxxbQOzQkErLY5CxHCN74dV84hjmLXcBHGsai0/e7jRelVbrWQmntTLy2cwI/g8j9jUc23X0grU89wrhuBXPiNxzBon+r7Iif50afnid4htlBDLq5jhFMeorVhaaY4CjwAAoVFZHcOs4LP00rxrGyWjmrlg1oszHnFtCNF3tfLKGZaXY5R6LrGNEnGtOnHMCsNJwfzcqa94rq1ZennRI45eyU4+gzArNHyIfnoAOV7Bkhzi0qkRiBErdnfd7OTzU5BlBYgxc60pOXVdixpGpT56+qtuvjCNA4Fm2FjsvmHTfBhRDiktvbfHtt+2CYtKFHjEgZgRGNmf1FdmDwcHtv+iv2vokfrC5e8T69VegYjlRDHWtCW24+BBzh/pkJs69mNO9Bur88c9x6oDiFBs+22H63PjT5iFzIX1kk6xIIV8HQN3a0tThyDCrH9k7682WnshRgwnQ4RZI7d0Sm3vvzvYt+39atuGR8zs0mlGVhOJXW9+NxeMbQDUc43s4kli6iVGVhNq245fBJS4Vil3WYo3/62RXTq9XuurEEmNeK5jlCdGvyqnOvYEB7Z/MDKy79c9j9iuXsu6WnWZEseCECKnXllkRCkc3XzzJ6V4y5eN3OLojdYKjCiH5KauW2I77tghRBJDYqx5M4AAakvThxDLKa6h50ODO79fX5j4nlMrL7zK7oAT/KHBXR919dqqVc6NAwCA0tJ7mxBJDfu7N56UEq07wiN7DVerZnwdg/cSUy9Sj7jENEpWMXvJ1SrLZmHlnLYy8yJmOZWRfUm7Vp63K8UZz7brocEdH7pyLKWp69bQxj2/hFhe8SyjTCmljXCIQIsQS2+UUm273A1bfl5bnHwOc/xn1lOcI45X1Pb+O83c0mlKXMvfs+tjCDMC9YgDGUbALK/oqwvH5XTn/tDgro/4OgcfMTLzRzEvBmM7Dr5LiCSHAYDQyC6OEkPLY170BTZsfS9EDVsCpbnr89rS9KFrx5xSSv1dQ37PtTV9ZfawWVi9KCVatq2nzIYQQkZSY3Jz94H0be+6nw9GexDDiq6pF9fWBtDXOfg9Y2XuiGtoOUq9l+c5kGFFYltVY3X+OObFoNLae7sYb9nm1EsLZmH1QkMp3bmf2FbV0arLiGWl8MjeX4UIYcSwf/zyvU8B9YhrOfXKoqvXsk69tFCfn/ieVcyMcb5wO4QI25XClFXKTTCiEkcsL1/7AMEcr4jJtp2xHbffzAUi3XKqfQ9iOVlbnn0JAM+jxHOim28+VJsff8ou5SbWCzV5PeA61F6escYvndCC5ZybUYM4DAAA1ANUr3sVvUaqCAHEi0hmWPiaSuY3CiBqrLd+kmq+11yUeI5Vzzz69Y/xseQAo6pJABHW5xrVnh8FlLg20erZRmSsGIAsJ68tiigxjbK5OHfk6i/CjwqIEFLb+g6q7f13O/XyIiXEBhBhCAGECHOI4xVWDTbjhrM4oIRYlHqetjT9PISIlZo694Mb9DljVYl7ml6ktq2xiXg/l0gMAASRs5q9yCUTg3xL0xYAIcTBQAtWlCi4gVEg9TwveMdtBhMOtjE+X8rM5ia45qYt0uDAW5iAvwkJgtpoeXrlAggyjIAE3lc7cuyfKHEdY3zmSUAB4Nvb9lyPqCGVyiLEmOWSiQEIIbKXV84xfn8aqUoUUEAZvz/1WmOLJCkMPI/UT4x+RT9z7iFS1/KMX01iRYkyoWCbdurMg9Rdi2XleMWzzLK+PPMi5490MpIaN3PLpwGAUG3puc0uZSde63jXg5Rq24MFKVS/fPrrtdlL3/UcW+P8oXYm1hxvmM5S6mq1G/ofUdcxzOziKOjeeL9dKUyjRuUbakvTh/hgrJdSSqRE687yxKkHwFWKDsiwglMtzuZHn/1LMda0WYimN5q5pdNSsnWnq9dy11NCUc/zIMKHVw8//t/TB975j0Z2cdSuFGewIIdKY8e/6Oq11cS+t/yZq9eydqU4fb3zdrXaKiWu6VHq1efGv+vq9ZyUat/j1CuLUrJtJ+cLtUMIz7x60YwQxJyktPQcpNQjtekLjzi18ryU7rjJ3zX8djnVvocSx9AWJp/x3PUrQZQQ264UZiilHrGNqhhr2kyJa+mZuaPa4uSzUqpttxCK90GEnqOeRxhRicpNnTdba8atdqUwjQU5IkQSg5hvSJZdrbryWuoxI7d0xrPNmqvXV4mh5Vk10KyvzB1GDCs1DJOVZiGUGABXf2+p564ZgyIAIeb84WZim1XqOgZiWBFizFrF1Us/StrPlUUQqwSalJae2/SV2Zc4X6hNbdtwJ+alIIQQr8l6fygIkeRgdPvB35HTHTcZq4snGUEKIYYV9czcET4Y7fF1Dt4LMeb0ldkjlfFTX7XK+ctiNL1JjKZHGFGOIoS5G873USPivTJx+kE9M3c0uGHre61KYcquFKZZNdBMLP266gdiW3VW9v01K/vTcnPXLdWp8w9jQQoT0ygtPf3gR3xdQ29DnOg38stn6XVe+JQQx6lXliDGvJnPnKvNjT/FByKdjcmNWeX8kU7Ei35wrWKKAkoJcfhApCu6/bb/Zhdz4/rK7GEhmtrYKCC8kuDhA9Fuz7E1p1aaI6ZeBBBiKdW+l5X9TatHn/ifrl7LSMn23XwotsFzHMOpVxadWnneNeo5pbn7Vj4Y7eX94Q5APQ9CiBqG2xBBhFmI8KvejZRSj5V9CVb2JQCgtDJ17l8Rw8mUEtfX1n8X9YizXvqWq9dWteWZF4J9234hd+J7f1K+dPLLQiQxKISTg0Z26ZRHXAuxvHp9OXrjm4c5XpGbOvfraxPH0PCeXxZiTZsQx6trCr7rglUCTVKydZeRXTpVvjT6FVerLjOSmhAiyWEsiEHMCT6nXlkG9MapIWZ2cdRzHdPRKkuebVZZNdiqLU0fwrwUBABCPhDp5vzhDgDAxau3syxqcRx8+vBh51lKKXUc8DLB+OgjxoMsBzmPAOJ5gCIEIIQAUQoopcBDCCCEAcYIYIwhZljAOjZ1/vzPbnSmPxl4xDEBAFcI5QXwSlLdAQ2S+xXhCBDCyax+9HP5udGvQIgY4lo18oNW0MW1nxseFgAwe/UfiGPWwDX+Y1dhZe3nCoxrtwcAAISZI3pl5SyglHruD8ha26hmAAA3fI+u4erzvgyuUm6tLYRfNRZrKAIAnr/mb28oafu/F5AoBiDPqQDQFVKtZdxicY6UK4sAAghZVgTXXENPN0qUEFvduf3DkGVFLIp+g7j2ywbNbzBwvmBLaGjXeyDCnFVcvSREWYF6rsX5wpHKxKkH+HC8X0q27+LDiX5WDbUBAP766u0xL/qDG7a8M9C35b3Etmpr71FqVwszdq08z4hyeO25vkdu6ry5NnPxO5gXv0CsV3taOFp1xdW13JU5RmTTTb+hLU4+6zm2bhVXL8hNnfv5YLTH1eu58Ma9vwYA9QBE2CpmLxnZhRPE0HKYF0OIE3yebVW1pann7UphOtC35b2xHbd/euXQt38LrHOfsmqgifOF26nrmtXJcw+rbRverHYM3G1nF0fN3PIZACHCLK8Y2aXTEDOia2h5xAlqcHDHh70zzmchhGPrPff5QKQjsuWWjyjN3QecWmkei0rEcyzN0SpLxNAKmBP9CDN8oHfTu30d/fcUzx35B4jQk68geSCAiGEF6jo68DzC+oJtrOJvUlq6D0jJtp2MKEfyp1/434jlZCzKYdfQ8gAiLMabt/i6h+/TMwvHAaA0PLTrY0pr7+1mfuXsmhq4S4o1bwEQ4SvzOD4U32AWMucBpR5iOQWxvMKIShQxrAg8j5TOH/08xAyvtHQfWFN6fnOdWwoSo55rkBu8AgGAkc37/1NtZuwx6nmOmV8+KyXbdgvR1EbPMsqhge0fBIM7PwwRYqxSdtzMLZ129foq5sUg5gU/sa16Iy20NKe2D9wT237wd1YaoSBnrj0wsYwK5wu165n5Y4hlRcwL/mtVLxAhLERTQ/7ukXdgXvAjhpUApXRN7VLifME2p1ZeEGPNW4RIaqg6de5bAICXk50ggIhTA82ebVYQy8mebdWN7OIooB5hZV+amHrByC2dsorZi8Qyyg1lj+f6u4fv1xYmnwUAPAfA2lTJ0IpSqm2PUyvPVy6f+QbmpWB8952/L0ZSGytT577pEWIJ0fSIlGzdYWSXTtGrCmSMKIdDg7ve7+8ZeZer1zKIFwPUI65dyU+59fISqwaaAKSe0tp7u9Lac7By+cw3EMt/7XrKpJ8kEIaYuJTUK6SEGMBoNVLBGDLEpa7rUpsXkCRISAlE2YSle+uGDb0RABHGjKwmOV+oFYtSKNC3OQAAhGpHf76RvlyY/nFSSG+E11bwNNil8+Cqm/SNCAgRI0RTGzEvBoipFbhIathzrDoxjZJr1HMICj4juziKMCN4jlUHFFCAEHbqlSWi17JSqmPvjfaPVTUOeU727d/3Cciyor24dNotledwLNoDWVasvnj4H5Qtm3+eCQSamEi4C9yA4IEMw4XeclfYXlo+Y87MviT29hxkk8khe3nlrH5+7BHf7p0f9Qyzcu1kG/GcAgXBJ3R13lx67IlPe6ZR9t9y8yeZULAVioJ/vWMRTSsQXS9YC4uj+rkL3xZ7u28jlcoS0fRC4PYD/5Vva9kJAPj29ccVQt9Ne3tJvZ61l1bOEF0vSn29b4IsKwpdnfup5znm1PTLkzWEWRELYlBt3XCHkV0ctYqrF4lplCKb93+SC0S7PeL+WOZYmOPlxL63jDhadUVfmT8qpzv3i/HmLZgXA8QyygAC5Nlm1SysnLvRfjzi2r7OwcuUekRp3fAmM798xqmXF9X2/rv1ldmXXKOeExMt2zD3ygUoxKzg2Va9QVopUTO7eEqIpje+VuUcAACoRwjmxcPE1PJqx8BbnFplsXD6ub8ipl4IDe3+mBBODhZOPfdXN3Lsd00t77mOiYX+aAAAIABJREFUQR2twIhKnPUF27SlqefFWPMWCCHiApHutZa+V1ZwWE5BDMPblcJU+eKJL1FCbD4U78ccrxi5pdNyumOfXSnO6KsLJ673cKGUUqWpM0MsoyKEEwPliye/VJk885BZyFzgfKE2CAAQYk2bEMsrAIAKF4h0YV4MlC4c+2csyJFwW99dXDDS5VlmBTEN6XajQnPjfuC1hXuBD8Z6G21+88fkVPs+u1aas8q5y2rrhjuEaHojuIrgaeQGecQq5sY8x6qr7X13eY6jm4XMedYXbocIs65+YxLwWkCIGAARY5fzk5XLZ79xJenLKucuE8soqW19b0Ysp7zmfhBCYqx5a2LfW36P84faSxeO/ZOemTsqRFIbPceqEsssB/u6308so6yvzh8nhpbnQ/F+X+fQ24j1/9h7zyg7rvNK9KTKVTfHvp1zN7oRGhkgwQBGkZQoiVa0gmXLcpJn5Dcejz16M8thPGNbHnuW/RxG9ijakmxlimImwYxAErlzzjfnynXO+3G7SYQGQEX7veW9Fn5gra66FU5VfWF/exsFMRQfpK5jIEHyb2V/fcnxYogJTx2rrjZ332ZXCvMQAiSEYn3UdQxwg+lUV69m9LW5l/19O98b3nnzJ2sL449X50a/J8Vb9ga37fuYUy+vONXi4rXGXBmjrqtX04wxz6lX1rW2vjutUm66Oj/2qJxsO0AkJcrJWgJcKSrMqOcZtZxr6vnS6KtfdPXquhRNjWBBClLXNa500SKyFtdX515MH3/8dzEv+gL9u39WCMcHhHBiMLr7tv9Qmnj9Hxn1XKdeXSeSEqnNjz8GCRFCwwd+UW3pvq06P/G4mVs7zxoi2o6RXjwlpzpvRojw1LWvfk8x5pm51fMAQCg3ddwECS8b6aVXleauW7CsRnkt1IYw4a/sdFHHNvy9O18NDuz5kNbae6evc+jtRFZjVjE76Zn1PCKcREQ5vBFMXv0MQgghJqJr6sXK7MWHIcLE37P9Ic8yytXZCw8Ht+3/OSIpsWsViCBEyN+3sw8STqotTDzJ+8Odgb5d7+N8oXbP1IuIcCIDgJnZldfBNcSZN2GXC7OeZZbEaGoXxJjX00unlJbeo1Z+7YJdKczLybYDGxpLY1dtazMbAHBVUdAwmAEaRYi3BIQg3GT//H8BG/ekvvHvXw2o51oAgH9zZ/oJAnJEhITw2OdLAMo87Pen7JXVM4AxCvHVLqHm9PSxfKW8ChDCSBB9zHVNJ5udAu6/TPf8euBkLRY/9LZP84Fwl1MpLmJRCVPXqgvBeL+ZWX5dTrTux7IWy5x88r8JgUi3FEvtvHR7RDjB17P9fjHWPFJfnn3es80KkdWYWyuvYkkJA0apVcxM8v5wV+ObDaHa0nOUUc+BGH/20ngFYcwLodgAta1awzihlhVCiUEia4nqwvijWFJjvBZs01fnXmKUem69siaEE4NSvGWPq1fT1DYrYjS1yy5mJzd1UIzsymkiq7HS6KkvqG19dwcH9nwYccIfUcd64zmGEMLwzpsD1HMtPb14SgjF+43c2tnq/PijkHByoH/k/ZwaaLaKmQnAGHWqxUUl1Xkz81xLX5l9wd+9/d25xqjWZaxzIinh0PZD78e8oFZmzn8LQoSdWnmZU3xJyPEydZ26VcxMcKovZebXL0KMudD2Q7/kNcT2X3pjR5S5jLq21tF/b/Hiqc87tfKyEDL7rFJ2CjDA6kvTx+xSdgoLot8z6jnXqGUAYMxYXzylpLqOYFEKNr6R1DWzq+eEcGIQTJ//tluvruvriycrcxe/19imwRbnA5Hu+srs80pz921iKD5IFF8CcbziVIuLTr2yzmmBZup5lq9r+EEsSM9cybaHCBMhEO1ljHlOpbjo2WaJ84c7+ECkqzJz/ttYlIO8L9Ru5dcvOvXKWiNZVmJaW99drqkXXaOe27yPnC/UIUaViL6+eAKLcrg8ffbrSrL9UGj4wC8SUf7P7hXjR9RxdLucnwUNLVWrEfkREVzC5BXDiW3Jm9/+GdeoZarz44+a+fWLamvfXUTRYpiXAp5tlIVwYpuzNPW0GGka5v3hTk7x/Y5Tr7yRDzYaydRz9co6Uf0pMZIcdvVqGhFOEkLxgdrS5FPUtQ2tc/ABu5SfdarFRa2t7y5f9/C7ECGvUNe1AWPUKmYnXL26Hho68HEzt3aOUc9xKoV5TtbiYjDWX50ff5Q6Vr08de4bRnrpFGu87wHiBCUwsPvdfDDSXV0Yf5S5rkUkJeLWSstIkAKMMc8qZMZ5f7jTLudmAETY1zX8Tuq5FoTwH3+aNt8ANBg8J58sf+vEE6Vv8iKSeBFJHAd5zEEeIYg8l7muw2yEANKr3jWnN/6lADEmYiQ5HDt097ukeMse3h9qh4STa3Nj3xfC8UHPNIrUtmr66vzLWJK/4hk3Hmd9q/iRrcn/1QBCSCQ1ahXT44AxahczEwBCVFuceprzhdpdvbq+ob/DOC3QzCh17XJuWm3tu8sqrI+6evW61pxIlkPM9Sx9dPxRa3HxFKDMhTyveKNjj3rV6jpEiADXc/xHb/tNoSU1AjE+ca2EmYtGusWO9sPYpyVIINDiFIrz5uTkUxtaPPdhv6+JmkYZgDcLPBBCKO8YDgHGGNX1PBeL9iJZCvLJxDAAECJx6wIPoMyj9XrBSWcm+JbUCAkGW635heNIkvzMdW2xu+sW4vcltnL+gghBvik5rIzs+gCAEMuDffdgVY6QUKid2bbOhUOdzsrqWbdcerNLhxBh1HOqixNPUsssu3otI4Tjg0Z66VXeH+54KwWRLa8/J2icFkjx/nBnaGj/L1iFzFh9aeoZ5nm2nGw7iDhBdUyj4FnGDWdGqW1WXKOWK02e/ppdKcxK0eaR2sLE43Kq4ybMS35EOBlxlx8nIkSknmOUp89+HWEiiNHmXXa1uCDFm/dACOGNKNTMcy2rlJtGhFeyrz37J4jjFV/X8DsBY5S6lm6V81s6Ir2xvWPr1LGqYqRpByScaGSXT4uR5LAYjg9Sx65zii+51TFgQfRBhHnPNiucGmj29+x4yK4WF83M8utyU8dhxIs+R6+mr3SBuhKuoefdenkVUOp6tlmR4q17AwN7PiQn2g5gUQ5LsebduOEEVOb9oQ7ECaq/d9d7rEJ63Cpmxo300imi+JJax8DbGKOeazTENq9/zTzH1atp16jlSuOvf1kIJ4aM7OoZxPOqFGsegRjzRNGSV24GGKOeUctVZkcf1tcXjytNHTeprX13bD7jrlG/7jz/lYAY8xBh4tTKK1p7/z1SLLWLOk5dTrQdABBhABHmVH8K3KAILsVb9zXd+uD/gpgTV5/+xq+YxfS42tp7tGHBfuaftfaBe4msxqsLE49VZy9+VwgltsX2Hf3t6sLEE4gQiTFKlab2Q7w/0lWZPr9V96sBhPCGvspE8eLJv+d8oQ5eC7ZiUQ6JkabtN+oGM8aYr3Nw2a1X1qsLE4/XFiaeUFKdRyAmPLXMsmvUsp55bRYQo5T6uoaKgDHm797+bquUnaSOrfO+YDvERIAQYixIgWtsV3ZrpWWrmBkXI8ntEGOuQan2HHYloxETwTVqWcCYFxza/zEsyhFO1hKIF1SzwCvBoQMftwuZCadeXjEyK2fU9v57iaxGjfWlU0Z6+XVEOBELUhAizGFBDgR6d70PYiIURk9+7lIdncsO0HF0M7d6ztWrad4f7pASrfs9o55ljmMQWY1vuGFdpS9m5dcvuvXKOkCYK0+d+WcxmtophuKDAEIkBCI9iBe1awt1Q4QILzu10hLvD3eqLT23U8euC6FYHwCxPgARuUQc8uqiKYSI94U7ESdogYE9P2sV0uNGdvVsfXXuJd4f7uR9/fcwSl3XqOVuFLxRz7U8o5Y1MuXT1bmLD4vR1C59bf44p/iSYjDahwgnYemHt9HFGGJFgaokQ5nnAM9xsPGPBzzPQ14UoXzHnYLW38/Njo87/6qbTv+GfwNgjFLTrFizcy9BjpPcfGEWqUoUAAgBunok2qvrBQDAT3388AcFRAiHhg68U4q37DFzq+f09YXjRmb5NSEUGwAAQiKrMc82y45eXef9oQ4xkhymrnvZu0lKtO4TQ4nBytS5b8ipzpupbVUp4SSo+lN2MTsphGL9Yjgx6Oq1zIa7pSMn2vYH+kc+YGSWXwMAnHzzeDDvmUbRqZWWOdWf0tcWTyBe8kPCCWpr712IExTM8apdbriT2pXiPOZFX6VaXKSuYzjV0pJr1vNKqusIkdSYq1fTgb5d7zeyq2chwqQ0fvof/b07fkaKNu0AALz85oWACGIi8r5gW+N3548jwsu8L9QRGjrwC0I4PmDm1y9ChDleC7TygUi3WyuvGJnl16RE614hFB/QCukxCOHXN9+9iHBicNu+n/GMes4qZMalWPOIXc7PEkVLerZZZqZeEMLxbURUo9WF8ceM9OIp5jp6cNv+nw/vOPyrnOqf29TXYdRzqesYEBNBae46AhDixGC836mXV2vL08/apewUIpwkRpt3OfXKGnVs3axXzpu5tXONeCE5TB2rZhWNshCKD9jF7FR1fvQRp17NXLkmXKOWlWLNI5wWaDUyy6/lTk8+5dQqq5wWaI3sOvLvQkP7P6avLZygllHh/cH2DSfQy6YmIELEc+26XcpOc2qwRV+bP45FJcoYYEpL71HEcTIWpIBTL6/yvmCbUyksAABRZfr8tzzbqrhGPevqtYza3H0rUXxJ16hlA70732sVs5MQEb46P/6or2voQTnZfhAA8OjlixoiIZzY5ui1NNrQhL2UZY44Xk4cettHkSAFMKWOHG/Zx/nDnZ5Rz5YWxh8DjFGta+hBq5AeQ4SX60tTxyDCRIqlRi79LVevZY3MymkhGO11yvk5Tgu2IsLLxYsn/g+AEInRph1aW//dVjEzAREmjHqOVcpNS9GmHZwaaAEAzDBKPYjwk4BRqrb13cUY9RprxNeEOF6tzI0+Up0bvfz8GqeI1Pb+I5ysJSszF7+rNHfd4tTKa4gXNMYYs0u5aSEU68eCHLSKmYna0tQzzHMttbXvrtDgvp8zMyunAQCjb+EV8WPDRjNnMz9xAAA/VUcqnlMiPKdEPc+uu55VdT2rwthbM2fifcGW6L6jH5VTnTchQkTXqOdqS9PHsCD6AcKcsb54ijqObuXXRzlfqM3Xue0BxAnfuLSI/KPg/08FHsSp/mbeH+529VoaYswjwsvUtqqcFmzlfME25jqmZ5kliDHnVEvLakvPUd4XapdizbtXj33r16+3e8TzMqDUgxjzkBCe1uoVahhlvik5xO/a8TOQ5xX9wsXvOpnMhLJ75P366PijYAs6JwkGmoP33v0bfEvzbmoYJbdcWfUqlXW+tWUvRAjTup5nrmtSwyxd1rGGEGFViVDbrpWefOZ/QIw5qb/3Lv3Cxe8qI7vehyRp6wIPY4y5nkn8vmT5mec+YzUlt5NQqF2/OPaIV6msB+6+8/+Wd27/GUjI37JLukQQQsi3tuwJvf2+P+JTye1uobiAZCUsDzVcz6huFEg00l16+tk/Aq536XaIua4lBKI9WFIitYWJJ6jrmEIkMcj5Qh0bYrw/MCDGHOIETV+de7Fw7uW/Jao/hQXJDyBEenrxJB+IdEPCiRsFpOt3gxlgjXGN4kJ46MDHrVJuRtt+8BN2MTddHD35+eDAng9jQbnMrhViTgSUerwWbPX37XrfxoiRhwgvQcJLl8h4X+M2UGoXs5NCINKjtvXeqaS6bqktTj6BBSmICC95Rv0qYdPLt2es7f6fKzjl/Fzu1Wf+WAgnhnydQ+/Q1+Zfrs6PPUoUXxJukbgjXvQBCKGrV9N8MNrrGrWcZ9RzfCDaKwSiPRAhDhFOQhhfd8TIM+t5p1ZeNvNrF4qjpz4vxVv28v5wZ2ni9FeEQKTL37vzvXCjeId5ye/UK6uF8y//jWcaJU4LtACEiFMtLhrppdeEYLQX8YIGIULXsnPeBHXseoNp1HUrUbQ4woTntEBrcfTVL2ptfXcTsSGm9wZrgjHacB1ydObYNaWp40EhGOvLnHzyv3GqL6W29Nz+VoqAl2JTtNjfPfzO+urcS7Xl6WOcEkhZxcykVcpNxfbd8Z9539auKJvAvKg13/3+/yhGmobry9PHPNeqa+0D9/C+UKcQivUiTlDUlu7bCheOf7Y49uoXqWMbUqzZY5R5mJcCpbHXvkQ0f7PW1ncX4gXtegXpDQaPAABgvu7tD4mR5LCxvnB8QwSYRzcQ5AUAAKdWWXWNWgbzghbbd8fvAMZYfWXmOSIpUbucn6Ouc12qLnVsnTbs1r+hry+cCAzs+RDmRV9p/LV/CPbv/lm0RYFn81rzgWhvbN+dn9bXF05Q17WUhovWswBcOT7EmNLcdQsAEArB2IAQjPQwz7OJrEb9PTse8ky94MWaRzZElh3mNfRyeF+ow61X1gAAzLOMkmvUM25ubd2plpasUmZyK+Hvxq8xChj1iKIl/D3bHyKyL86o52JB8gHAKMSEv5ablVMtLblGPQ8Rwrw/0rmRDLzMaYEWiAgHOU6+lskAhBAhjpPlRNt+RHi5tjjxJOIEFRtysLY4+XRk5JZPcVqwdUNoeasCD8SC6Hcqhfn8mRf/EjBKiepLQISJXcxOmYovyQciXdfVAboEnmWW9fX5V7T2gfsgxjyJt+zFghQojr36RX/39ncTUQlvpS9yPagqUkdGuAO/9knlQCqF2xQFqrk8zXR1kj5BhGI8jpoMndWLRZrXfMj/yPfMr4N/5azif8O/gbmejUTRL28bvL/B1u65w15ZPQsQwjdiy/1rBkSYU1v77qwvTz+XO/3cn1HPNUNDB3/R1zl4f+715/6sMnvxu9R5kwUpRZu281qobfP/nOKLN932rl+nrqMHBnd/CEBEIEIEi3Jo/cVHftuuFBYQIbwYTe2KH7znd+Wm9kPMdS3quYaZT48G+kY+gDj+wqbA8EbjAAnBWB/zXJtT5RDCWKjOXni4tjj5pGsapUDfyPuje277TTO7chaLSsQz6lmrnJvBghyEhIic7EtmTjzx+06luCAEo72Bwb0fUVJdR0qjp74AGPXM7OpZrWPwbeDSAk+jnWQzz7OrCxNPAAaY2tJ9q9zUfgCLUrA6N/rI+kuP/LZbr6bFSNP28I7Dv8ppwRbOF+oAjFFGXdvfv/uDtcb3LQdAQ6cw0L/7Z83syhlOC7aZ+fRFOdl+0C7nZvJnX/x/qG1XEcer/p7t7w4M7PkQcx2z0fRbPSMnWw8ozV23QIT+iVHqMeo51HF0M7t2rrY4+ZRVTI8TWYtjUQnJidb9TqUwb+RWzxrZlTMQY57aZmWz8RYePmhiUQ5R26oKoVg/7w91mLm1C+waY7xmfv1i9tVn/lhfXzzp6pcVgE7FD96zXYwkh8xco7GgtQ/cIwQiXRCi05fGgA3XQczxDfMCxBFfEvOCWlwYf7w6P/6oZ9ZyWvvA22L77/q0Xc7PYUEOUtusGumlV4niSwLquXwg2pt9/dif2qXsFKcFW4MDez6stvbdaZVyU4xST1+bf0Vt778HXFHgQRsxEwCMekYtS22zcukYuhRrHiGyFrdLuUksSiGlpee2wrmX/6Zw4fjfbYpGK00dF5NH3v6nZm7tnKtX1gGAkPOFOi6NURmjLsJEcGqVVaghQiQlUhw79YXi6MnPM8YYkdRI6vaH/grxos8qZiakaNMOLCkRTvElN/KnGQAakwEAANB853vfiD14f6SzoYO1tfwB7w91hHcc/lW3XlkLhuIfpY5VQ5iIADC2/uL3/qNbr6xDTHilqePm2P67Pi3FWvYAAJhr1DJOrez39+56LyLcH26lg/XjAIQIqVJ00K+1HKLUNYrVhRcMszj/k/itt4posP8dfrV5H4QQu55VXsud/QdwhbnLVuAULRY9cOdv8oFoT21h4gkxkhgCECFqmWXAGBNC8X5X59PG2sIJRj3bNRo6tkqq4zCE6MkfRbJmEz9ygadhidcQS4aECBAiQl3HoKZRuvQF/5MG8zy7OPrqFzkt0MI812ReQxi10XFdu8AAo55ey3i2VWXUs5VU1y1KU/shiIlgl3JT1L5a/O2y8yRYwKoSpbqed7P5GS6ZGMKyFECKHCaRcGf9zLlv2mvpi+bM7PP+22/9zcBdd3yai0b+wCtXVpjrWkgUfUJ728Ho+9/7KaGr4yavVFqqvPjK3wAAAOQ5yRgde8TJ5KZIKNgmdLQfosYVQsEQQqwoEQgAUveMfJAaRkkfG38Ua76EMrLrfUiWttRgYAAw5tgGFERNaG87KA3036NfuPhdqa/nKImEu8y5+Zd8Bw/8ArOdOvZpj1DdKAIIgNDZsT/0jvv/mAQDrbVTr31JP3fhW4x6DgAQYk2NkWCwDWtawl5aef3Sri91rBoDAHimXqzMNFgGG45R04a0eFIIRHreSmJ/1XlQ6jHPNTkt2Bbctu9jZnb1jGcZRcYoU5q7jhBZizNKnY1E+7rFEsTxil3KTTvV8nJ1buz7alvvnYAyD2LCc4q/iXquSeTLu9AQE4HTgi28P9xZnbnwHaL4knKy7QB1rBrmeQ1eQ6D4khvBPMeqcr5Qm10pzBXOvfzXSBD9crx1X8Oe59qMiE14tlHCYioUGbnlNwBEqDJ74TvUsetiJDkMIcJbJYiYF3zMcy19bf7l2sLEE0RW43Ky/QCn+JurC+OPCeH4NixIAcQL103uPMsoeWY9LwRivf7u7e+2yvlZq5iZ4P3hLj4Y7aOuYwLKPAAAoJ5jQIx5f8/O9xjZ5dNurbxCHafG+8OdYrRpO2CA8f5I14Yw+LU/FBvzz1Y+PeoZ9Zzc1HFYSLTt9yy9JASjvYx6Nhak4EZiu1HgobShAySHI3tv/y1/z473MNfRrXJuZkOE0KWu84O9l1Aj+NTX5l8pnHv5b6RE6367lJ0yC+lxOd6yGxFO2tAduSbU1p7blaaOw55llOxyYS5x4J7fJYovaZfzs3Y5P+PrGnqwNHrq88XRU5+/5OPJAESkPHX2nwCCGHG8UluaflZJdR65bqG0ISjPy4m2A7WlqWecSmFOiCSHAEKkQTvmb+hUw1zHAAACIRTvr6/MvuTWq+tyonUv4gWNOlaV3eAaMtcxqeuaSnPXLVrntvuN9NLrtaWpZzjF34Q2NBKuOmyESWhofxjxgrYZWBFFixvZlTOIcBIEl69v16jnODXQrLUP3AsgxABAYFeK8+Xp899UmrtuLZw//r+N9NKrzHUMRl17ww3NptS1mOtazHNN6jnWlmydra8rRJygCqIc9GyrAmANOZXiolXOTUVHbvm/ICbCtQo8dIOBR0QlUhw99QVEiKSkOm+Wk+2HqGsbiPDyNZlVGyNaTq28kj/zwl9sWKqDhvaN6Me8oHG+YNuGm8kWxUvGaMOVTQwM7P5ZI730qmvUMsx1TCEUHxRC8QHAGOUDkR6I0DPXE/2DCHHUdQy7mJsG1HOVps6biKzFXbOeEwLRHuq6BhYbFttgq3GzK4AQRNt3kN2//we+Xx3cRnbmsjQty1BJZ+haPIaStRqrLCy4M9UKLk9NuaOGAXRVhb6nnjQfvtG+f5xAkuRvaOsxABigAEFMDaNEDbOMNS0udnbcJHZ3HiGhUAdg1HPzhTlrYemktbBwwi2WFql941gIEsITvy8JAETUNMvUNCs/zpl8SAiHBEFDgqBBjpMYox6zbZ0aZplaVwueXnM/CEGsKjGvruc3jw9Jkg9QSjf3gzhO3NCfUSBChJpmxavWMjdibf4kAQkRsCwHocArAELELLtODaP4Vu7NDw1KXWpZVXNm7gUnnRnHqhzhkomhazGukShqWNPib45vMeaWKyvUuFpz5lpAHCdCUdCQIKiQEIF5nrNxrqVLDQl+FCBe0CDGXHH8tS+L0dQOTgu0CoFwV+HCib8vT537+pVaZEZ29RwA4BwAAEBMuMjOmz6IBSmIOEHlVH/Ks4wyrwVbVo9969ftSmEBAACo69qIkNO1hcmnYgfv/q/66txLbr2a5oPRHoQwLwSiPWBDSwUSTpISrftIpbjQuAa8Wpm9+HBp4sxXN48FEe5rEEEc3XP7b0GIiWvUskI9uUodq0okNbb67Dd+zSrlNpnUr4nhpKkkOw6p7f330Clbd+vlVSnevJtISmjT0YgxSgO9u1aN7MoZNdV1RGnpuZ33hzogJgKAEObOvPiXdqW4qdP1qhhJfqb5jvd+lpO1OGqI6/uoa+sbWoLPYV5Qmm579895llESI03bES9oDX200lL+zIt/cYmbV5VI6ve0zqG3h7Yf/uXa4sQTiBNU3hfu8HVsu786N/Z9AECZUeow164jIdRpVwpzgAGGRSUS6N/9gdL4q18uTbz+lWs9k9R19M3il1OrrNZXZl/gVH/qWoYSG65gy5gXFE7R4hBz4qbOanBoP4d50UdkLWHm15+2K/k5PhDt3Vjnb6xJSDhJijTtIA3TEIg4Xq6vzr1UHDv1hTfeNZg8AiBE8YP3/J4Ua9njmvUcH4z1UdeuE0mNpV/+/u8Y6aXNBPwi7w//tZRo26+19d1NbavuVAvzalvfXUTWYpcVojDmXKOWtYqZSX/n0DvgGwWfRp6bOHzfA0RW47XlmWPMseta5+ADSnPXLVK8ZU/zXe/3sCAGY/vvkhoCzMrtvD/UYVdLi269mt4wbbABAIBaZqW2PH1Mbe29A0tqxHPsGhGVCMScAAAwPUsvlMZf+/KGvflZIiphwBoOXKThtnkZmOtanOJrsvLrY1Zh/SLvC7ZtFc8jwgmxfXd+FCLM875QG5HVuGcaJeo5xuoz3/y1SyzhLcTxL+vriyfDOw7/cn155nnq2DU+EOnmA9He0tipLwAArqkX+qMAQsT5tZaD0WD/AzU9fR5jQYMQ/vVPeyzszeOBsDN1a5PlVNc4IoUQJJIiRvvBDQo8iBA+svfoJ3h/uLM2P/6Yq9cyKNl2AGJ+xmBsAAAgAElEQVTMM7fBgraL2SmAEMaC5PdMQxMC0W5jffGUEI4PGOnl18AN8ti3gh+6wIN4QRGTzbsDew/vECLxAeIPthLN34QIJ9mF3HRt4vy3ES98ldoNqhHieIkPR3uRJIcAY6yR3EForiyc8Mxrux69VTDqeRCi7wEIENjs9DIALhUqvnSRaG193QAhUl+ZeY73hTqlWPNOAMDFa+7fcQxqmmUnk510S6UlKPAK1lr3AQZY+eljnwEAAHXPrg9Kfb13UtOqqCM738snE4PG5NQzXrWW4ZOJbfK2gfuQqkYBY8zJF+YgwZxXq+fqJ059jtbrWQAAFDrbD0GOiF6lunZZoA0hRIoShoKgil2dR6qvnPis7+CBj/NNye2I5xUsK+GtD5wxapjlhsh1PVd95fhnid+f4pKJIf3c+W95tXou/K53/Hn4wQf+pzzY/zZjYuopJIl+ZdeO9zDLruvnL34XQAikgf57uVikx1lPjzHKXGmg757qCy/9pVsuXyYQaVdLi9QyClYxM877Qh28P9zV6PgunnT0ypqvc+hBTvU1gRsLS14GzzLLdik3K8Vb9uorsy+4Zj3v6rUMrwVajPWlU4AyqnUM3Ku29d6JMDl7LT0biDEJ9OwMWIXMhBhJDgeH9v88kdSYvr54ojo//hgAjKmtPUfBVYQcxuxKYd7MrV0IDh34eSEY7asvzxxjlHqIl3yNBPM6gBASUQ471dJSeeLM1+RUx02cGmihrmM2RGNuXOChllHGkhKxitmJ6sL444x6jhRN7YKYCJi/WhAOgA0GD2MMQoh9XcPv5FR/M7WtKmPU0zoGH8C85EM8r/G+UDtE6JVrJXeMUZdRRrEoh1xLLyJCJLWl53YxnBwGCGFqm2XGGl0Dq5AeI6ISsVh6zDPq+YZgHq96llmuTJ/7Jrcr2Kq29t6x8aG4yvlrE5yixpx6ZQ0ghH3dw+9UmrtvdaqlJX1t4RUjvXQqOLjv565MihvOfdQjsi9hLIw/Xl+ZfY73hTqdSnGhIdLLAPgBkwxGqUNdx0S86IsduOu/1Jamn0WEl5JH3v4n1HF0wBjj/cH2a20PIYSx/XftQLzoM7OrZ7T2/nsAgKhw8fjfWfn1i77u7e+0i5mJ4tipL17WGWmMlHpqW/89WJQCbq28IsVb9lLPs+VE2/4N+u41EkDGasvTx4isxoIDez9sZJZPu/VqmlODrW9FL6jBsIKkOj/+uF3MTqrt/fduUJYdz7Zq17I5fePXPddknmMSWYtXZi9+18ytnhdC8QEiqVHE8QoWrk5wIEIYN56RRauUm3KqxcXKzIXvJI+8408RL2pXFjDrK7MvOLXySn155nnmOaYYTm6rLkw8gXhBRYSXMC9oRnrx5I+r24Q5QQ0M7PkwRAh7llHS1+ZfESNN27XOwfuJ4kt4tl29VoGHMUqTNz8wTZJqFHGcEh4+9Akx3rK3MnPh2xBhDvOiD17jHcIYY9R1dObaemj44CfsSmHOzK9fjO2789MQYw4iIvBasLXRidsClFGrkB7jFH+TkV5+zTP1glsrrzbEzqtrlZkL34nsvPnXtbb+u0sTp78CtiwSNUBkNeZUi4tYEH3+np0Pycm2g1YxO1lfnnnOKmYnwuH44I3YjJeiswv3/qf/pP13QYTS1KQ7WqmwEqXMQxCgfIHlWlpxx/S0NwYAAIRAzvOo19pKOpJJ3IwQHPtpaPEgUdTUvbs/yEXCnUgUA1ws2kvC4U5rbv4l/eLYI8rIzvdBggVqmCWvWl0nPi2hjOx8n7Jrx3uc9fSoMT1zTGhOfcteXTt/veIZn0wMhd/z7r9Coui3V1bP2CsrZ303HSpR3Sia0zPPuZU3x6gRxwkkHO7k4rEBwBg1p2eOefo1LIA5IvDJ5LD/yE238KmmnXxTcjsJBVs93Sg62dy0s74+qu7eddxeXjnt5PIzNywqIcT5brn531PdKPhuOlQFAMDwg/fvMheWTiFB+Ec+1bTTf8dtdwjtbQewqsaoaVWY4xi1109/Bavqo16tdtkII8SYcJFwFwmF2pEiRxDPSwBCzDzqMMcxvFot6+YLc26hMP/DFIgQxwl8qmmn//ZbjwotzXtIMNCMA4EWe3XtvL24dEoZ3nbCnF887lWvHju5EbAs+blEfBuS5CDEiIMYc9R2dK9cXnHSmTGkyBBCiCAAAHiezVzPshaXTnLhcCeSpAC4JIhHPC/7brnpV8Xu7lshRgQrSpSEQ+35bz/8HyDGn7vRfUGioAotLXv8d9x2hG9q2sEnE0PYpyXcUnnZzRfm7JWVM8rwthPW8uoZr1xe+VHcW7Ag+SFCnBCK9fNqoJkxRjkt2FZfevIPthKavxSc4ktqHYP3Q4Swq1fXAYRIDCeGjMzya06tfJkoN3VdW2nuOuEZtRx1XYM6ds3MLL+uNHffJoYT2yBC5wFjTOsYlOxSbqa+Mvs8FuWwHG/dY1cKs5ceC3UdE2LyJc4Xavd1bnvAzK+dN3Nr58RoapdnmxWnVrosFvHMes6pl1ddo5alnqNzWqiN14JtnBZsAw2h8MZ+HasmBGN91DYrtYXxxyEmgq9r+EFEeNm7gmnrVIuLZmF9TGnqOGwVMuP66txLnOpvEhrn8oLS3L1/YyRrxqmVVzgt2CqEE9tqS5NPXmnV7hq1XGzv0eNiNLkdUOo5tdIytc2qGElua4zsgzKjnhc/eLcBIYSBwT0fYZ5rYk708f5Qh762cPx6zxPzPAtizBNJizl6db3BZBY0iNCW3zgIIRRC8f7ovjs+xKmBZkR42akWlxAvqEI4MWiXcjNOvbImJ9r2I9xg28MrYlZEOMmulZbqS9PPbI7+2+X83KVrn3quAxH+LqcGW4Lb9n3Myq2dN3Kr5wR/pAuIcsguF+YvW0OWUXIqhQVEOJE6ZpnTgq2c4k81RpzBG888BI1vvNrcfaur19Jsoz8OAABYkAKcL9SBJSWstfbcYZVyU7nTz/+5lV+/yGmBFiypESEY7WOUOnY5N6M0d98qxVv3YkEO2UJpcYM1vZHnMibFmncJgWgPtc2KZ9ZyYCMwBaAxCc6p/lOBwT0fUVu6b3ONWrbhIsZJEGEeIoQvvW+UNkwasCgHqesYAEKERfmyCQQAAOD94U6ltecoc2x947nDYjg5XJ0ffcQ1Ll+n1LF1f/f2l/292x+inmt6ll40Msuvq629d/D+SDf4CRV4AAAMI0FljLquZ1VlIdgJIebBv5BWHEKchDGvcUQKMsYohBBDCG9YN+H9kS6lpevWjSIOcY1aTk62HUC8oLr1atqplpb11bmXAKUu4kVNCG84lAejvQBCyIcivQCAV37U4/+BCzwQYyKl2vbH73voE5AQwVpbOQMJL9m5zATiBdUpFRacQm6ajya2YUWNgg1hQTHVsjdy672/DyBC1NSLzHUtJIi+6vi5byHCfe7HEYRvUJpuGABACKG/d2e4IdI5/7Jr1HJXsf+vgFerZRhjFAf8Ke3ggY9Djkj28srr1LZrXDw+gP2+pNTbc0f9zLl/tpaWXxO7Oo/Ig/33+g4f/AQURR9zHIPW63n9/MXvGBOTT9qraxdorZahtl3nYtE+oWXn+7hYfEDs6rjZnJx+1l5du9wyGwKEZDlM6/WcOTP7vNjTdRvVjULpqWf+SDuw/+eRIl31QG9cFEZNswwx5t1cbhqJop/atq5fGH1YGui/R2hvO0ACgZbKy8f/1s3lZ6hl1aT+vnuoadfMycmnpL6+u0gw0EIdR4cEC1w02oM1Na5fGP1u/cy5rzPv8o+5Z+oF6thGeOfNnyxPnf26U6usCMFoH+IFtbY48aTS1Hmz0tJzO4ToS9ejoG1YyMHNFxl1rLq/Z8dTWsfAvUI4Psj5gm0N1fzVc0Io1ieEYn0QYS7QN/KB+vLMcxChE1t9vDjFn+KD0V5O8SWRIAWobVXzk2f+iXmeo6Q6buKD0T4sKVHPujxYZq5jAsCYlGzbx1zHLE+c/qoYbdoOMRGIrCVuZJMNIURE0RKc6kuFd970SdeoZexyfkaMJIcAY95bsSD0LLPsVEtLxbFXvyRFm3YozV23UNuu8VqwlTp2fSPBu2x0BvOiD8tqNDi476NOrbJqZJZeo46tE06TimOnvlCdvfhw/NC9vyfFW/dVZi58G1xDCJSISpjIatQuZad4f6hDCjdtd+qVtfzSC3+hdQ29HYtycLPYYObXR43M8utE9iWV5q4jgh4f0NcXjnuWUdLaeu8EgDEpmtoZ6Nv9QcTx/2srph/ieNnXuW0f4nhFSXXdQiQtVp46+3WrkB7j/ZGu0PbDvyJGEsPm6PrFS2m0m9a/YiS53bOMkqtX0+WJ179qFXNTUrx5NwAQ/KCOJMyxdeo6Oqf6m0uTZ76GedEvJ9v2u3ot06DZBwCRtfiVH95NQIRJg/li1+srM8+rrb13UtuqIk5Q5VTnzVr7wH0rT//zL1H7KotgBgBjEELk1sqrUqL1gGfoeSI7uhCODwrBaC/Yah6aUY95nkVEKSgn2vZXFyaeYI5dl+LNI4jj5etZrG8CC1IAi3LI1zF4n5usHzBza+c4xZ+CCPPM86wbJVrUdU3PtqpGeulUfXXupeDg3o9ujFRiiInQsLBF6PIiNsJYlEO8P9wJIYB2pbQQ3nH4V+Rk20Ezu3waXMGScyr5OauYmUAcJxUnz3zVSC+dEiLJYSKpUTO/diHQN/IBq5SdwqL8KLWM8o26QIgTFAghvDKQ3rymG0wuXJo4/VUIERZjqV1OvbxaGn/tH4Lb9n+MU/3N1wp+AQDArhYXpUTbfggxNgvpUdcySkqq84gYTmyzK/nZrQq0G7/teqZe4HyhDn363DfcWmVVa+27C0AA3Hp5dcNFKwy5rfXNGKNUCMXOmBvBqNrSc9Spl1eM9cWT1HNMJdZ5hDHqyk0dh/09Ox5ChPvSllbEvKj5e3fuRrygyU0dNyFeDBTHXv2SXS7MCcFYn9rSc1QMJ7ZVZi8+fC2K+KUQBCh84peUd/f1k6Fvf8v8x74+MqTrXm1ujs7F46ipv58Ml8u0KIpQmpz0RgUBCI4DnAsXnNMcD/mfltAyF4/1i+1tB8rPv/gXYkfbIWrbdbdSWZMHB+8TOjtu8mq1rJPJTnil0rKTyYyzlpY91DAr+vjEY7RWz/Gp5I7QO+7/k9KTz/yPTafBrX4HyXIQy1LIyeammGXVkCQHAMJEaG87yDclhkko+L+J398ktLXuD779/i7muRZWlDCfTAxl8/lZcEVhDmKEuURiMPTA/T+PREFjrmuJPV23IlkOAQaYNb/wipsvzCkjO9+v7NzxkFcur5jzC8f5VNPfO2vrF691nMx17cDR2/LyjuGHzOnZ5yDBPN/cPCK0te4X21r2knC4yyuVl6lhloyxicfN2fkX1X27Pxx64L4/soa2vUPeNvB/zJm5FwAATGhO7Q49+MC7+FTTDiQIqlsoLrqFwhwADcYNl0gMkaC/2c0X56ylpdf4ePzzTjY7+VaKE5AQjm9K7gjcc+e7pN6e27mm5PbNeIjWallrYeE4EkW/79ZbPqWUyyvagX1PG6Pjj15aSLvWfonfnxJ7u4/67zja46TTY16luk7i0T7foYO/CDlOdtLpMX184nFzcupp5nmOWyotU9MoQ45IJBLuBATzV4WcEEAuGu01p6afdbK5Kam3+3bBdQ0uGunZYDps+UxBQnixve1A+J3v+DDzqINEQRN7um+HHBGA41rGxOSTEGFOO3TwE8rIrvd7lcqqMTbxOBcOfdktFBd+mO74hpMlTyQ1aldLS0Iw1gcgRN7V37CrgCUlgkU5WJ0b/T4WJB9AiPOMes6pFBe2YoY2EqLy0qZkQWPg1q4JkeQQnDkvMNc1EeEku5yfsSuFOVDOzwqBSPdWZgLMcx1f57YTwf7dHwQMME4NtAiBaE9taeoZtsFA3gR1HcMz6/lNhiO1rSriJT+Rtfhl1x8TgYhSyMiunIEQYSkY6+NUf8rMr124qmBl23WnUpwHTR2H9fTiKTOz/Lqc6joixVK7ECdoYig+6OrVdX194SQfiHS7emWdU7SkXdpao9EspMepY+sbySeirqNDhHkhHB8EAIwDAACjzKuvzr9sl7KTYqSh4+LqtSx17evrfCDEUduqumY9v2mhvfHtlq78U4gQlhKteyIjt/6GZxklt15Z19r678aiHPIsvWisLZykrmOIkeQQ7wt1MEpdq5AevVLLBGFedKulZbuUmwEILXBaoAVskZwx6rlKU/vJ8PZDvwwQIpziS/LBaK9dzE4y7/I1RD3Xdo16Vm3uulVJdd3i1MqriOPlDT2bN//OsXW7WlqqLU4+JSfa9gPqOZu/jDhB80w9nznx5NeUpo7DSnP3bViQg/kzL/wFEZUIJJxsFdJjSnP3bUIw1m8V0mP6+sKJhu088y4ryHiu6VRLyyYvjAIGmKr0xIniSyIiqGCjcOjq1YxVyk7J0eYRiDmRU3xJRDgJiXJgIw56Y38QIuLUK6sQE0GJteymjl3HkhK50nSBU/0pCBGur869hGUtBlCd9yyjaJcLs1uxmO1qcdHV69nG9YcQMOqyxj0chgg9/ZNhYzLqemYZQSxocnzYsErz19Ym/MmDYF5jjHmmVV6GEHM+JbnLtCvXbEoD0HgWAv0ju7Eg+iFCRIqmdkrR1E4zv36xvjj9rJVfu+CaRhEAwBDCvNLWe6fa2nN74dzxz6qt3bebubXzSqrrFvDTLvBAjInS2Xtn8MCtv0FULZ579tH/YmXTF4VYclhqaT8EEeLEZPOIU8zPUtMoYVEKgg17TjubHrXWV87o89PPQkIEzzIrWt/wO/w79n7YzmXGwIb9208aECEsxZp3ah2D99nl/AwW5SCRlJhzI5Fcy9aRJAXkocG3W3MLL5szs885mewkn2rawUUj3QACVPze93/bSWcmqOOYWFXP26tr55Udw+/CqhozJqeeNiannmaWVYWCoGJFDiuHDnycRCI9zLKqbqm8zEUj3YAxr3zsuf/pVS8PMiCAEMtykFp2DStK2JyYfNLOZCdIINiKRNEHdf5a4sWMOY6Jfb4k35TcLnR0HHLz+TmhrW2/MrLz/SQYaPaq1bSby89WT776RbGr82YnnRmDHBGZZdfLx57/M69aWUei6BPa2vaLXZ1HnEx2qvT0s3+yVceQUc8xsqtnfF1D71BSXUecSmG+PHnma1hSIhBhrr4y+3ygd9d77VJuChHu9a0SCUR4SWvvv51Rz0aYHNtk49QWJ5+2CplxMdq0szx15p8gJoLW3n83Y4xW50a/Tz3XkuMtexKH7/vvuTPP/zmnBk56Zj3HGKNYkAK8P9wZ3nHTu4VwbMCzzDKEEDUoqp5NFF+TmV+/YGRXzgQH9nzYrVdWLz0m6rkmo9Srzl542I027+KDsT6rlJ0y8+sXONWfegs22ZDIWtypVVazrx37DGDUVVt67nDrlTVO1hI3HPECDXFo5rmWkmw/iEU5ZJfyM0RW4wwwBiBEkFx9DIgXNeY6RuHiyc85lcJ8g21jVT3LKGFBCriCGKjOjX5PSXXeTBR/CgBwlY39BuvpqBxv3csY9axiZlxfWziBBSkQHNr/Md4f7jTSy69tJnWuXk2XJ898LX7wnt9zqsVFV6+sSdHmXViUQnY5P+tZZtnXNfRgeOdNvwYQxGIk+W2nUligrmsijpOI4m8K9I0c9vdsf8jVa1neH+qoLU0949TKy1gQA8y19eLFE58L77r5k06luLjpDtBYf9RllLpE9SWxKAWtQnpUbuo4HBm59VP62vxxAAG8XhK+FVxTz7t6dR0LUpDIWtytlZbzZ1/6K0g4UYqlRojiT0LMSZgXfQCAqxTwGfVcp1ychwhhrXPb2yFCxLPMEnMdQ2sfuBeLctAz9fylH2MIIVTb+pKI4xUhFOu3Cunx2sL4Y8yjDqOeLcVSI1K8dS/YosDDKHWp51pOrbJauHD878RI03YsSsHa0vSzIV+4kyha4kbnjAUpADHhqwtnHy9Pnf26nGg/0HCzcvQbFTMBaIiKM9cxECf4tLa+e6hlVoDnOaTB3gMIE3GDkXPJ/D0kWFTCTr2y5tSr65zqS2FBDlHHriPuaoaLZxpFfW3hFSIpEcQLPinZftDKr1/UV+ZeEEKxATHStCO2747fUVKdN9cWp54Sw4kxu5SbubKYigjheX+4K37gro8wz3Mgxr97Zbfc1asZahklM7d6jlO0hNLSc3uDtZKZkJPtB8VwfJC6rgmud20Y8xDhZDGcGOK1YBtAiDMzy69LkeQwFuTgld3MN6+lZ9vl/Exje15BHC+Xp899nXmuLYYT2yARFByRAlhUti7yAwCcSnG+Mn3um5FdR/59tZSd9iyjJCXa9mNe8Jn59QueZZa1zsH7Y3uP/vbGmnvMqZaXGXUtRHiF0wLNwcF9t2sd/W9z9VqaqGqqOj/2fVevpokohz3LKBVHT34uMnLLp5xqafGtFKw1H/IPDXMjEELkecA9ftx+btcubr+mIf/TT1uPfPlL+t/k8zTrOMD2vMuTL9e98fjXjwvE709x0UiPtm/PR5x8fs6am3+Zb27exRxHZ7at2yurZ6zFpVcBAEDo6LjJq1bXmWXVxK7OI042N2VMzTwLeV7233rzv2O2XYMQntoyqabUo4ZZLh97/s/dbH6ahEMdQlvrPj6Z2IZ7e44KnR2HkSBoSJICxe8/9l/cYmlR3bf7I8xxTGbblxX2IUJI6u+7y3fz4V/jEvEBr1xeBQAwr1pLe+XKKmCMAgix2NN1O+J5uX7u3De5SKSbT8QHwg8+8KflZ479CSTkGLuGexPkecWcnXuh9trrX8aqEttgOX2YUebpF0YfBgAAr1xe8SqVNT4RGySaFndzuWkAAQi+7d7ftxYWTlDLqnLhUAe1bd2aX3jFWU+PUduuY02LA89zAIQQSZLfyWYnmWmW1T0jH+RTqZ2Fb33nU2ALl7ZLgThOVHYMPygN9N/rpDNjxuTUswBjHvG8Yi0tvepVa2mpq+sWRqlrjI0/xhzHENpb9/Opph0kGPiMWyxtyTBGkuRTd+96pzTQf4+9vHK6fubsPyNJDEi9PUel/v673Upl3Ulnxpx0ZkIa7L9XaG7ejRUlwjendik7ht/FPOp4lco68KhD7cvH4pjjGsx1DWXn9ncbUzPHjOmZ57hopAeJog+grZMcJAiKunvXQ9r+fR/Dfn/Kq1bWAGPMLRTmgetajDEPK0qYTzXtYp5r6RcufEdoad0r9nTfxjc37So9+cwfQoTO/KDJWoM9Sl3muia1jBLzHAtChN7KtwFhIiBOUBEnKHY5P4stsyKGEgPUc8ytRvepa+t2uTBnV/KzRFKjRFIj1HVMxPEqRIgwCCAknOiZesEqpMfkZNtBxIsa2iIeAgAAu1KYd41aDotyCItSiNMCLQ29lMufSeY5lmeZJadaWoIIE94f7nSqxYWNvObN8+F41TXqWTGcHEKEEyEmIpG1uJlfv3ilMQBjlAYH9y2a+fSoZ+h5uanzZjGc2IYIJyFe0JAgBSDmRIgJb+XXL/CBaC+ACF1rrNwz9bxVyIzZlfwspwaaiazFPcsokUubOIx61LHrzPMciBAuT539utY+cC+7QREeEU4iii+pNHXcBABgTqW4gEU5TKSrpwXEcHIocfi+PzQyK6f1tbmXg4N7P1KaOP0VRl0bEV6xq6XF0PaDnzDSS68CCKEUS+2sLU4+ySi9rLAACZE82yyb+fWLcrJtPxbl4IaT1Rb3sbjgmvUcIpzYMAsIdegrsy9euZYZ9RzP1AtOvbLGPM8WI03Ddjk/e+W4E2PMA4xR3hdqp45ddy+RTWhIacshpbnziNbWfw9urEE9NHzwE06tvOyZepHzBVtdvZapLU091WBJQwAgxPWlqac9+03dR+a5tlMtLnINB63tbr2axqIUvDR+Z5R6wcG9F6VIaqerVzPMc0wxktpJJDV2ZcED8YIqhuODG3IMtlUsTwiBaA9qxKNvTMdAwsmbcip2MTNBVH9KijWPUNcxG+z2y0Fts2qXctNmMT3Oyb4EltSYZ5uVxvr/wZqkbxWUei7Bwj/ly9NPEiyotlPPUOr+WMZKfxggxMmuZ5YlIdSJMadiLPh0Mz913W04XhZjqZ0QYY5R6vChUF99eeb5wvMP/5Zn1vPUfTNfgRBCV69lpXjziFuvrFmFzBjiBHWjsPkj4wcq8HCBUEdg782f1Oenn/1/uXvP8Dqu81x0rTW97F6wC3oH0dlJsYkU1SVLluWiyCVucY7jOHbsnJtyT+KcOD1OnLjETuI4iW25ybYsyeqiKJFiJ1jRO7Cxgd3b9Jm17o8NUCwQJScn97nP/X7hB2Zm7zVlf/N+bxHi9dtotyfO+ENtVj4zyQZruriaWB+kKBZSFGOXiwlKksNr29pKJSPUNnwXQkRbxfy8d/POTxDHNh1Vybi7B9+LOP4sNm7ug3OzghBCWnSFIUKMY2iF1YcXAVVsBEJEMYzsift7tu/xtA+82yhkJqoxfFqxmlBz4wV+TVEUDRGijZm51ysnT/8bkuWwe/ctn6REwW+XykuQpnkkVB/8XF3tRve+3Q9CmhGUi5eesNOZCSRLQdrvawAAAEqSAkxNuBNreql85OhX7XxhQdo0+D4kCv7iS4f+Sp+ceoVcP52sNjtexu9rJIZRFhhG5BoathsLi6ftXG4WUm/20koI1rSC0NF+EEly0M7nFxAveLXh0WesTGbKd+fB/wUIIPK2LR9CguB1SuWkUywmqoguwVxD3RYmHOpgQsFWxPMe5fzFn5ReO/oVO5Ndl6JHHMeWalte8vdu/7iRT42XZoaftnUlC2lG0NKJIVpyR4Row/bYre/8amVx8pBc3/60Vc4vEMexIESIcXlqw9tuu93TvvF9jl5Jz2W//RAAIAEAAI6hFT3tA9+qPfDub3g7Nj1SmR97QUslzmJTL0nxlpT97xoAACAASURBVL0UJ3jVpdljXCCyIX7g4W9oqcSQrZSXASCE4gQv5w93Mi5fA7ZNRU8nL5amLv6UOLZBCXJImZ94ySzn5yM77vrfeiZ5wdavjaojtq1z3lBbzY67/lgIxQfKc2PPm8XsNC3KYcRyLqr6o7e03ppc2QfGtpZaOA0hAK6m7nfYmpJxTL28en3eEJl6fVUNBSGwKoUEQIjGllFZdc6PQIrm4ToSDcRybsQKHtbtb7RK2RlIUZwYqe9iZG9dFSi78OPixIXHo3vfscvfs/2jFMf/iWPoV/T+FMu7fJ2bHgpt3v8/IcNIytzYc2YhO0Vxgs8sZaf1dOLcaoSivtYwEMexWLf/SXdr74NyfftttCAFKvPjL2or86cYl69erq+9zcinxxDLucLbbv8DT0vvg0YhPV4FeFiRkT11fCDaA0A1maE4ce6HZj49xsjeOlspLRXHhr4v13cchAAiLZ0YuuZliWCbYMcyC9mp1MmX/kwIxfpZX7izNHXpSWwZJQCqOu+3Wuury9GVrJlPjbPuQEvu4rFvOlol5W7uvp/iRB9EFFNNheLdrDfYQovyLC26IrZaWXFWU4kIIUSKNQ1ZlWLCLGamHF3Lm8XsFC25YxBBCgAAXY2dd9KCdAHblkZxotfbsXGfv3fHxxHLuZTFqcOZc6/9vVzfflCubdmnLs8dZ72BFqGmdhNiuB9f77hPCHGIY5u+7q0fZiRPjDi2Xpw4/yPW7W+ENCMwkjuCaIa7GWuSEOJgUy+rS7OvV8+hHF41FrerTBaKuhkVv2o8aRvEsVSrUlyiRVfEyK0Ms1aowgdjvZCi+VXA5kqTCVcZPPrKwhmrXFgQwrGB8szlJymOdyOOd18v0cKObUqxplcC/bd8AltGuTBy5jsEOxbF8W7EcLKanDlKcYJXqm29Va5rP+CYWlHPJC/Gb31IBQhSBGMbm0bJ07FxEjiOSYuuKOP2N8D14soRogAAENGsZJq52cLI6f+AFM3JdW0HiGPrVqWYoAU59FZALSO5o96uTY9a5cKCnlsZESN1WyDF8BQv+gFaX6KFbctwN3dfIoRgZWHipeLE+R+7GjrvYH2hNkjRPESIhhBRnC/cQXHCeVp01QDiOGYpP3eFAWlbBucLPeZq7r7P3dL7DjU5e0xZnDqsKaUk6wu18aFYv5FJXqQFORzZefcXve2D7zWL2Wns2AZiWIl1+xv5QKSHYMe0lFKyOH7uh1YpP8u4vPVGMTulJk695u3a/H5smoqRS43dbA3WimMBv7jgzGYzeqqlheqcnQWTS0t44ct/V/njVMq5aarl/1sFKYp27dgWAQhRxuzccbtQXGTrazcTy9QKL7z4p+bi0jkkin558+AjbG3tRmNu4RREiEayHMSaVoQIMZ79ez9nzM4fVy8NP+Xauf3jTrmSAquDr6uLOI4JGUbw7N3zaUdRshBCaOcLC1YmM0m5XBErlZ5gIzVdjuNYlCyHIUIU4/c3OoqaxZp+5QUCQgi5psYdrh3bPkosS1XODH3PXF4eZmrCXbTfX08MUwWAEDubm9Gnpl9FLCtRblfEyuamq30M7/Hs3/d5bFoqhPDoemAUEgQvEw62e/bt+Yydzc1AhhGxbpQRx7n4xoYdRmLpHDaMCuXxxGmftx7btqEeP/ktrr5+C7FsnY1Gepiami5tZPQZa3nlMsEE822t+4njGGZi6TzlksOAYXhzeWUEVyopJIp+9fLIU1x93Rb3vj2fQTz/21hfv1+ECEJ529ZH3Lfs+IS5mBgijm1aqdKYlc5M8G2t+xBN80w41OGoahZrWlHs2XCvemn4KX1q5ohry+b3e/bu/jQlCH/iXOeDiBiGk7dt+RWxq/POytmhx7BhlKWBvof51pa9AEJozM0dd0rlZcrtigmdHbdTshxm/P4GbJoq39K02ymWEmYyeQkACJiacCdirx3KEYyx787bV5yKktHHx19kwuEOQFEMZKqJPut9T2lw4D5poP9hu1hMqCOjzzjF4hITjXTTHk8ca3oRAAKsldSIMTd/EnGcC8lSyFxauoBE0Y84VvLeftsf5J546vNgnUCQmxWuelyajqHmIEVzxHEMx9CK9Nvog7Bjm46mZNeYtNg2VWwZSjVNiBHAdSxkiCjGyK+MVj3dWm91tEq6NHnhcdYbbF1jPUKIaEII5oPRvjU/PMRw60uRSVVCbORWRlaZDpSjazlArgd4HBObRoWvq9lQnht7Xs8uD1dlN4L3anYEYjnJLOXntJWFU7Qgh2nJFXEMNc/I7th6vwe2Wlp2dCWDLVPBpl50DK2AWM4NIUTY1EvY0ssQIZpgbGPLKBPs2KzHv26IA1wdEkCK5oVQfLCyOHnIyJEReFVaLcHYZj2BZinevBsAALT00kVsGcp6L/XX7JuiGFz9zbxAMLYRzQgUy8mM5Ild/X+IYYXw1oMPc/6aDbZaSXs7Nz9aGB16zCzlZhDDSmpy9jgEEHo6Bt5j5FOjZjE3w0ie+Oq5uwYogAjRgADC+Wu6OF+oExDy5udx9RwZudQYxfEeEIoPrvpyXtuXYGxjUy9zvlC7VS4sKIsTh6pDL9EPIYJrSgJE04IYqd+GrVUfMfqN+5M4jok4wSu6fY2OaZTV5NwxxuWtcww1Z+RTY9gyFT23fAlbhoJNo+QYWtHRtbxjqPnrASfEcJIYa9rJuv2NjqkXIUUxiBU8EF4LjlaHnpZWmr78hLtpw73Y1IuIYcXr7SAgohirUlzUq70wpiVPjGJ5Dy3KIXAVwENsS3N0NQcgRAQAgi1TIbalsm5fA6RoFryRVLV6/mlWzyYvEYxtPhjrM4uZqdLkxZ/Sohy6mQybQgxH07yP57wNulGYcxyj7JKiA7JQ0wsgRKZVThbLiycNq7K8XhqV7RgVAMDb9oT77ywKMYIshrsdx1IJwZZplZOWdfMUXkgzAuP2NRr59JillJalutZ9lZnR59aS7a6uqqm2mDSLuRnG42+kOMELGUZELPeWPplvp34pgEdu77mfWGbFzKbGCcY2Gwh3Io53QQrRXDDcSTC2ieOYtMsT0xZmX1+9wK6UVczPuzYMvNvIpEa1xbljbLBmA2J5Fxer3cS4vXXgvxC/Bimai+55x99CmhGwqRcJdizH0IuIolhI0RzjCTRZpdycVSkuGbnUKLZNlTi2YSvlZWyZqra8cOJm+yfVpCgCGUbk29tuEzrbDwIAABPwN4kB/4PVqUl+zrX7lv8hdLbfYSWS5610esJKrlwChBBimBU6EulmIjUbjJm5Y6XDR/4BEIKZSM0G3713fRGJoq/44qG/UC9d/vkN4A4AADKMgATeSzC2mXCogwmHOuxcfg5ynMxGIz3m0tL5dT+3gx2hve2y967IF5hQsN0pl5NsLNJLuV01TDjUQRxsFV9+5a/ZWKyP72g7sBrDnrNS6XGAiY043k1sx9TGJw+ply7/3JhfPH2DAfR1pacWz+QvHf8noaZuC+cNNPt7tn+MOLZOLjkmsS198fnHftXV0HGHr3Pzo1K0aSdiWBnSjIAts2JXCotGITOZu3D0656OwfeINfVbAQBXIqEr8+Mv5IdP/purufteZWn2dYrlPXJj112M5I47aiVdpYRqBQghRa86zxOCHWVx6rCyOHWYC0Z79czSBTOfHudDsX7K5a0zC5lJiCjG2z74Hr6mdlPq2HN/6OjaNZ44xLF0RvbEba2SSp188c+waRSFSP228vTwU+7m7vsY2VsLALh4kyuIOFoljQ29yIdqN1pKKYltS4FrJm7U2wB4HFtnXJ66wMDu38CWqZil7AzNSwHEcDIg2EHrsIggRDQg2DFyKyNmITtFy+6YxXASLbljhZHT/64uz58Qo407AQHE17P1wxAhWoo1/sjW1RwjusLRvQ98yN3cfR8lSAFlYeJldXnuBKJZsTh5/nGjkB6HENFyY+edVVD1DZqnVc7PZ84e/lJ0j7dOSyfOWUopKUQbt3PeYJtjGkoV06I5q5SfR5zgYd2BJsTybjOfGiuOn/uB7k2cwdi2lMT0qzQn+PhQfNAq5+ccXc2L0cad3g2bP2AU0mPa8ty19+1qihbnD3fGDzz0NbOQnYII0VJd614zn56AsGpW/FZrfc0uMcae1r7X5IbOO7ydGx9h3f4GbOplLbV4xkknzguh+ADnC3XU3fXo96pJezSnJmePJQ795JNgVTah51aGHUPLM7K31qoUE2Kkflt5fuIlJTH1anz/u77m7935Cbmh43Zi2/rahMQoZqbUxMxRWvbEIzvv+qJU27rXMfSSkpg+nDl7+Eu+DVs/7Nuw5YNiTd0Jx9RLjqZkbF3NVyVatiHW1G/Jj575jrI4+Qrvr+myyoUFbWX+JC26oqtGy28K8GBDKzmmUaI43kNxgne1MYCwisMwq8DUzQAemxCCXY1dd0NEsXpueZgPRnvW1h7SDHe95AogRNG84Ge9oVYAESpOnPshI3tqGZevngBCILqR4aKll84RjDHnDbWrydljnC/cgRhWZj3+ZrGmYWt5bvQ5ZWHykKet/2FE0TxEFI142k+LrnB5bvQ5LZU4a+RTY4hmJT4U62fcbyS9XF0UK3ggRbNGMTtZnhn5hbul5wGpru1WzhfqsEr5WVpyR1dlnDe9liy1vJw6+eKfEoxtV2PHHVWgZ/ly9aXhTSRaAACzkJkwc6kxua7tgBht3Enxok9bnj+pZ5MXGdkdgzW1m2q23/GF4MDuT0OaERytkk4cevyT4CozQLOQncwOHf67yK77/kJbWTjt6GpejDfvZj2BZkdXcwhRLIAQWkpxieIFH4uCbYhmRT2zfKkweuY7fCDSY2tKRk3OHmNkd4wPxQbMUnYGm0ZZrm8/6Gnte0hdnjuuZ5M3eQ6+UbYNLMsi1qlT5vODg8z2jg6m56WXjKf+vwLuAACqsR485wYI0YQAQgf8TXY6M2EXqt5zXG180L1n129SLleNo2kFNhLuBLFID+I4lzE/fxLVhLusTHbKSqXHKY87ygQDrdLGgfchlv276819yaoBLuV2RZWhcz9wypUUHQg0Cxs67zIWFk8zgUATsWxDOX/+u9roxAtYVTJ8R9tBYjsGNt6QxtB+X4O8ceC95WPH/wkbZkVoad7DBIOt1kpqhBhmhWts2I4EwSt0ddyBNaNEHNu0lleG9anpVwFF0UTTiu7duz7l2bfnM9lMZgoAcEOqHOI5D9b1UuXEqW8zkZouyHNubWT0GTrgb9Knp1/FqppnasKdXDw+gETRXzz82pcBdmxiW3rl7Mgz4oauuymftw7yvKdqSIttbWz8OYAJlvp7H+Ia6rfqs3PHzaXkRa65adeqB1HSnF84Lfb3PST19z0EKeo/rpeIAwAAE4v2ubZt+VWAEEWHgm2OquYggJBrad5DueQwIAQTx7GQSPvZWLTPXFq6gDhOFrs67zJXUqNMTU0XE4v2AQBeu2a/NeFOoavjDmMxMSQN9L8bUhRdOTv0mJ3JTrl23/JJvr3tNn1y8pC1kh5DHCchnnPln3/pi5THHYM0xeqz8yfkjQPvIRg7xLZ1yNw4aHAUJWtns9NIkgKOomSdQjGBBN5zPVCwlnLKNTRsLzz3wh8jUfBzjQ3bKY8nbi4unQMYO2w02oMkMSBs6LoLK0oGIERro+MvmMnlS8S2DUTTnHvv7k+7d+38dcQwv4ett2+TYFcjtZWqsTxisKmXlIXJQ1wg0gNu2gcBYKvlZatSWMSWqTmGXoKWpenZ5UtSbes+IVK/FSLq+bXhAYQICjW1QQgRLYRiA2YhM+lolYyrufs+q5Sbrf7eA4AdS0erJvdmITPF+cIdlHDt+8da0ZJcgzjBW5VakWoQ1jqecoQQEt5yoKytLJyGCNFyffttnC/UoSVnjq0Cbg5EFBXatM9DC2JACNdudEy9vJo0Oc16Ai2M7KkFq6lHa0VV49sFxDAiLboiiGFlbBplgrGlpRbPuBq77rLVSorYlmaVCvNmMTctN3bdzXoCP7NKudk1YAlSNONp7YtAmhH4YKxfTc4cRTTNi5GGbYXRs9+98j2wY9KiHLYqxUVbKS1jUy+AN0nCurqwZWmUIIf4YLSXOLaBOMELEMXSkvtagIdmBCEUHzRyK8N8oGZDYfz8D7FtqnJd663Z80e/hi1TRQwrIpoR5Lq2AxQreGjJFRYjdVuKY2cfAwBceXZh29YhVU12NYu5Gcbtb3zT8yjKIYrjPbTkjhFsG2thAoCAa4ArQgjx92yraOnEELYtVa7vOMh6Ay1rPjRgdZgDaVYkhDiOoRUcQy9K0cYda0CGrVZSRjZ5CbGCxyxlpylO8NKCHLY1JVOeGX7aUtaXdUJE0ddJpQjr9jXYajnl6GoWUhRrlYuLXIB3g+v6G7NSXCSObbDeQCsXqOlmvcFWSykuXd8nENvWuVB8AFumimhGqLJ0GGE1jOEKcGuWcrOOruaxaZSxaVSI45h6dvmyGGvexYdi/RChK55MECEk1bZGIKIYPhDt1bPJS9jUy+6Wnneoy/MnwZs0OjTFSnWRbb/uczftYxkpnMyc/w7PumtZWgwWKgvHvFLd1qCv/W5NL8wurJz4KkWxjzvOG+xTCBHiWFeMY1xRACEyzXJSN4sLFGJEgQ+0IkRxGNuaaSkpw7wxSRZChCQh2EFTnAdjx9DN4qK5DiDD0LybZVxRimJljC3VMMvLtqMXrh9mQEgxFGIkRU2PMIwQMAnABLwFMAoRzYdivVUZK2KscmHR0d4cFCKkeg/xwWjvquF8wXzD7P2/VG8b4KElVyhy/3v2ViaGfyE2tu7Dul7Ahl5ELCsK8YZtiBe82vz0a9jQS4gXvMSxDVr2XSMFgBAhPlq7yViuTlXU6bHn9cTcidDB+/9qle3znwZ4AISoSrUsL5dnR54Ra+q3WqXcHOJ4t7Y8f1Koqd9i5NPjAGDMyN5azl/Txbh9DYzLW1eeG3vOKKRvuqDENBVACJAG+x/WLg0/ac7NnxS6N9xD+3wNlNsTJ5aluXft+AQdCrbpk9OH7VJpyUwuX8SaWuBbmncLHe0H7Vx+Tjkz9BhAEIk9G+7jW1v2stFIrzY1fbjw7AtfMBYT64I0AFRZEaVXj34FCbx7TS8JEWIATTH69MwRc2HhzJtta2UyE9ZS8nzgwfu/BCCEViY7pV4efhrrRtnOZKb06Zkj5WMn/qm6P5ojpqn8V9I7HNNQaNH1lfiBd3295pZ7/lxZnD68ihBDW1Myjq7mmO5tH9ZW5k+VZkZ+Eejb+QlHU9KFsTPf1VYWz0q1LXuVpZkjUrxplxht2AGuAngcXS2wnsCXWW+wJbrr3j8vz44+Vxw7+wMAIZTr228T2NqNytzYC4jlZMRwcmnywuO2WkkDBJGyMHEIQITczd33BTff+nliW5pVLi6ynmCLpZSSiGElZX7ixdLM5SevZydg29IdUy9mzx/9GiAEi/Gm3Va5sMC4qqa1jOx5C0odBBDRLLaMSmH45Lf5cO1Gua5tP3acqoHvTaYUa0WwY0GK4Y1CZtzIp8ZZ2VtXnLz4U4oXA57W3gfXo0c7pl5c1VFnWG+whQ/Fq1TtxMwRQrDt69r8AXdr3zsrC+MvMbIn7uvZ/lFv1+b322o5VY3TFP2OruYqc2MvKIuTh/Ts8mU1OXccAEB4f6SbD8UH+GCsL3P28N9i+40HNSGEIJp5KXfx9X8MbT34+3Jd2/7suSNfKU9dfIIP126S69sP6Nnly2YhM8n6Qh1acu6YurJwCtE0r6UT561SYY4L1HQHB/b8Jh+KDRi5lWFI0Ry2LI04to5No5I9d+QrjmmsqyN3NCVTHD//Y85f0ynFmnYpi5OHsG1p1SkU736rtb6+KgsTh/ylbXP+nh0fT514/o8r8+MviNGGHd6OwXdbSimpZ5cvu1t63mErpaSjazkx3rybYnkPWAV4HF0tRHbde8TT2veQVNu6D1umYmSTl8xSfrYwNvQDgB2Lcfnqq+wWii1OnP+xWUhPGIXMBOcLdbiauu8l2LEdrZKyNSUDIaQAhDA4sOtTBO/8dUKwXZ4efgrRzBdpye0QxzHUlYXThZEz33E3dd0DWU62yoUFxLASLbkoxLAiuMoo8oZCFA0AgOry/Ek9s3xJrm+/jfUGWhxTK1Qb6RsnPtdUNVIcAwhRZWH8xbX7vzh+7ofRPe/4m9Vp1bXTO4hoihN9EEDoGGohuHHf56rsmEKC5kX/eh412DIUf8+2wzXb7/wjPbN0MXvh9X80CukJd2vvg9gyVVI1HYRaJnlBWZg4xPlrOllPoLk4eeEnjqZkHE3JCKHYAKQYXknMHOF84Y7rPxcAVRo+RBQDsOOwnkATLbrCeioxpC7NHDUyy5d83Vs/TMueOHkrhAcQghhWcjd3319NC3PMVUNMsLpG65ZRyEyVZ0eeCW7e//nK7MgzmTOH/ooS5LCve+uHaF4M5C+f/Fe5oeMOxuWt1TPJi2KkfhvrDjRBCK8w3AjBhGL5n3P+yIZA/y2fNIu56dyF1/+xNHnhJ0KkYatc27pfW1k4Y6uVFdbjb64sTL6sZ5OXEM2KanL2WFYtf0WINGwLDuz6DcYdaDLyqTHOG+7AhlECEEFLKSZyF17/x7ebnlko4FyhgLN9fczmXI5kKApQXV10/9693O2CCEWXC3q8XuTneSiwLGQhBMi2iV2pkNKJ4+arFy9abxlV+l8tCCEEiKKZcKiDq6/dlH/m+S8gjpUolyvCRmo2sLW1G5EkBSBNseqFiz/VRseeQxwnC90b7pH6ex9yCsWEOjL2rLxx4L3YMMr69MwRcUPX3frU9KsAgKNXH4vYVRYkEw51iAN97wKEEDYeG4A0w0GGEbSx8Rf0yenDADsO11C3hfK4Y3xDw7bKmaHvkdWXc0hRtPe2/Y8CiBCxHdO9+5bfoGQpmPvpzz8r9vU+yDc33lI8dPhL5tLyRb6laTfl9dRKvT0PEMvW9emZI8BxLCYUbC0fP/kv7r27flPY0HUXAOBb16wJgjD0/kc4p1BaFDZ03s23NO9Wzp77vtDashcJgk/etuVXzcXEkJXKTNj5/DwrSyFpoO9dlCyFlfMXH6dkOeSUysn8U8/8PhIEH1MT7ii/dvSrXHPTLqm35wErl5uxz194nA74mzy37v2slclMOuXyCnAcq3L67HcdVc159u/7vD419Sq4zuwT0jTjvW3/Oyivp9bOFeawbpQhw4hCz4Z7nVJ5pfjCy39mzM+fwrpRZutqN7p37fx1yNAC5FjZUZRM5fTZ73KxaA8bi/ZChjm5tq6ULAd999z564AA4lQqKTO5fJEYRoWrq90stLfdRnk8MXV4+CltePRZgBDFBAPNAABo5/Pz1cGnbXD1dZv1mbnXnWIpyYSCrev5XkAKUWJP931YN8oAQsi3tewz5hdOXf9/SBR8nj27PmUsJoaQLIU9+/f9tp3NzRSef+lPPQf2/Q4lSYHC8y9+0alU0nxry17a66mVNm18BCtKRrs88jSSpRDlcoUrp878h7Rx4L1cQ/02AMCrb/e+wJZZwbapetsH31upDn6OE9vSvZ2bfoX315w1CumJNZ8kCCHkQ7F+Ytu6nlsZtZVSsrIw8ZK/Z/tHNV7y22pp2VbKyxBCFN1131/kfCfa5bq2C8SxDd+Gze1yY9ddiGYEZXHy0JU1gxDaWiVd9d8jhNiWxnj8zZCmeUspLa09V2/weQMAIIrhzVx6rLI4+Ypc27oPm0bpzaRl2LY0gBAFKZo1i5kp1uVrqBrpV9lHECEGcYIHQIq2KsUlmhf9jmmUipMXf+rr3PQrnraBhxHN/O0aW5bzBluiex94lJZcEWzoJVtXcgyEkDi2QTC2VyPGVzxt/e/S04lzllpeMYuZaU9b/0Px/Q99tTB69ntSrGkGUjQbHNyzWa5r22+r5ZXyzOWfU7wUtNVKiuLloJFPXZHaE8cx+UC0N5s4emRVSta7Oiy5qczGVkpLjq7m1eX5k4AQh/X4mxjZW0eL10q8CcGOY6gFhvM3OoZegBBS/p7tHyvPjj7jGNX0t9XhClNNEc3O2Fo5xflrNqyGLVwBeIhjaYzsreVDto5NvYgtU2Ekd2y987iWLFmeHX5aru84iA29uBpycMP3IrZtAAIIYlnZKKQnGMkdhRDRa3InCCF0tw3IxLZ0q1xY8HQMvKfak1d3hR3bdDV0PCvGmnY6hlYEhJDy3Nhz3s6Nv0KLroinrf8FNTn7+loSFYQQst5ga6Bvx+2V+YmXwBU/JMc2ipkpW6ukqxLFzFTVLJxibwhZwI5NS64aMdKwzVbKy7boCleZvtf2QVY5v2C5fQ1aavEsohme80e6GdkTvx4YM4u5aXVl4ZS7pft+bWXxtK2WU1Y5Py/FmnZF97zjS/nhk9+Wa1uHCXFsf8/2bldj190EO7ayOPUKQIgijm0ihpOM3MrIm7G/EGIECCGVKYw9FQ32P9oQ3fmZdH70yVR+9GduKbbJJUUHysryeQAhaq7d978wwRYA4Ptr21OIESPB3vcJrLdeFmt6i5XFk1OLL/8hQ4vBtvqDf8Gx7phhlpMlJXGKZ91f181S4trj03xD9JbPV4EgRy+U547QNP+4bVdVCRRieK+r/pa2hjve45Fqt1IUI+WKMy9btpotqysXGFp4xrLfIDBAiGia4r0s64rSFO8xrUoKvEWPR7Bj2kppmQtEumnRFbbKhUXG7WuEEI6ux4aleMHLegMta88U1htoyZw69Jc3O8bbrbcN8IhNrfspQQrQkivM+IItlCgGjGRiiI83bAeEYEhRLLZMzVGVDB+v30oJon8dnR5k/cFWxuNrQILgM2xbdzQl45SLS2idacYvW7ZaWcGmUWHd/iajlJ1eQ/QZt7+ROLbB+YJtkKI5xLASI7lj2DLKpalLT6hLs6+/1b5X08CIky8sIEkMuPt6HqCDwVZi2wakEA0pzrVq4ocpSQrSfl8TG4v2MzXhDiYYUoFwMgAAIABJREFUbIM0xdm5/Kw40PcuWE2jsY35hdOZHz7+a+ZiYujNEjCuHL9KR/7mf2ZdnGJpKf3YDz9GSVXNKdb1op3NzQAACOV2Re1iKbE6CXPAVZGF/5Wy1XKKD0b/sGb7HX/I+Ws6tXTivK2Ukti2daGmbhMAAOq5lVHOX9NVHD/3w8LY0GPYNjUp3rLHyK4MM5I7yngCTdVoYla4+qXBLGZneX/N7wT6d32SC0S63S29D9iVYkJbnj+lJmaO8OH4YFWmgJ1A/67fIARjZWHiZWxoRV/3to9IseZdWmbpfHFs6PtmMTsFIKQ8rX3vRCznSp9++S9t9dqUDwCqNy2kaG6NjaQuzx2HFM2JkbqtiOM9jHwtbXWdgojj3YQQLDd03OHt3Pg+s1SYp3nRDymafRvbVwcUSjGhJmaOirGmW6qePJYu17ffBiBE69G4samXAEKMt33wvWYpN6ulFs5oywunuECkW65t2Yc43pM8/LPf0tKLQ4jhZCFcu8nT1veQVNd+QM8kL5RnR36hrcyfdvQq9ZUPxvpqth38A1ryxCBFMXwg2qenE+eqcrdrG1ZsWzrF8f+MTaPsaR94t1TXtr+qk18ezl089k1G9taK0YbtEAAiN7QfdDV332cWszPYMlV3c8/93q7NHwCE4PzI6X/XVhZOYUMr8uH4gLu554HcxWPfUJdmbrhvIaJYSFGcnk1esrXKisvTfY+yNHOE4qWAv6Hj9qqR741Rk29V2DTKuYvHvsmHawddDR13COHajWYpN7ty4vkvYNOo+Lq3/mplfvwFs5CelBu77oKIYq6PqixNXnjc2zH4PoRYKXXs2T/Ss8uXhHDtJjU5e7Q0felJmpcCwU23fo4PRLqJYxvqysJps5idkhs67uD84S49lTjLBSI9oS0HftdWSkk9s3QBUTRrVYpLrCfQzIfjg5CmeUCIQ7Bjcf5wZ2TX3X9qlYsJI58a4wORHsblb8CGVngzQ961QgwjIopmaVEO+3t2fIziBJ+tVVKraQ1+xHJucHMaLSEY22py9phj6CUp1rSzOHnxZ1K8eQ/FCb7VtMPrDkrRiOM96sr8KQARKo6f+4GWXhxyN3XfKzd23vlmZnvF8fM/ghBRnvaB9/CBaHdFKSdXjj/3R46u5QEgJLR5/+9QDCsH+nZ+AiCKNovZGcblrdNSibOMy9fg7Rh8r7o8d5wPxgao6v3Igeufg4iiAYI06w21IU7wIIaTK8sTL2PLKIuRhm18uHbQVoqJtzIXXgN585dP/AsfivVXU+6wLcaad68XbXplMbFjc97gY3JDx+1cINITGNzzW46hFdYMxOWGjtvNfHpUSy0O8aH4IECIot5IHrsCVq9OmP/G0ZWsq2nDPXJDx+2OrmT17PJw9sLRr7GeQLNYU7cFAEDcLT0PeNr7Hzby6XFHV3K+nm0f8bT1vwubRiU/fPLbejpxDptGWYw17pTrWvdnh177ey29PpN0vbIsYL5yyHz2s5+Tv5DL4gwmAO/cye7bsYPdizHAqbSz7JKRe3bWnoQIIFFEkqLgMsGABIMoDN4iqvT/RBFCMDFNxc7lZ8vHT34LYGxTshyW+nvfyTU17oQsK0EKMcVDh/+m+MprX16TDVGi8JoxN3/Kc+vez4rdG+51KpUUpGmWb287wISCbdJg/7uvTy0klqVjVc2Vj01+k5iWSmzbLB89/g1566YPmEvJC1hRs2Lvhvv18clDxvzCKbi8MmJnslNWOnPFE4BrqNsqbRp4n1MsLYm93fdDBCl9ZvZ1vr3tgNDVfkfuiad+x5ieXZNdfR8ihKzl1Ij//nv+vGoCzPBY00uUJAWcciUldnfdS8nyz69OvoJVnxGWAAKwquWUcxd+TDB2sFH1+Sg898L/XmX65iFFsdLGgfd6Dx74PWN+4RQTCDRDjpWcQmER0jQr9fbcr5w7/yOuoWEbV1e7Mf+LZ/9vK5UaJQQQyiWH5U2Dj7i2b/uI0Na6XxsZe9Z1y45fUy8PP+VUKimuoX4bRHDmasYz7fc1srFon3rh0s8gwwi0398gdLTfZi0vD5defe3Ldr6wABCikCh4nVxuVhsde8Fz262/41SUtLmYGII0zUKe9zChYNuq94cBGYbz7N/3CUqSAoVnn/8CNk2Vb27cycZi/avR46p68tS3iy8d+ktcUTKEEEJJ4sueA7f+Dltfv0WfnDzk3rPrU9ro+At2NjtNVZNUMbnKi2GtEMe7rWx22lxOXsKKmkUC70UsK17vTSNs6Lpb6Gg7CGmaZ4KBFlypZMyl5EX3zu0fp1xyKPfTn3/Wzl5he0xDmmYdVcu7tm7+IORYCbGcjC1TpdzuKDFNRezvfSfiuDPYWH9gcsN9gR2rPDv6jL9n+8exZSpSbcs+I5caZWRPbXTvA3+npRbPBvp2zhFCSGjrbWE+EOmxK6UliKj/STC2aVH+kRRrugUQjLFtaWKsaaetVdIULwX8Pds/ZqvllKMpaatSXAQY20pi6lWIKNZWq4lCYqxxR3FVYk8IIa7GLo33hTvyy3PHIaJoI7cyyrh99avDnGt6a8c0ytg2FAghstXSMkQUWz3XN+IdxLFNIRQfcEyt6Bh6ybHNCqCqrIzqCUMUohnR0ZWcY6h5xLASxXKyVcrNaunEeV/P1g8T4thSrOl1zl/TVXvH+z7ESO5YYezc981CZlLLJM7ZlVKCD8cHCXYs4tiWFGv6Zs0td3/R0bU8xXAuPhDpNovZaS4Q6Q4M7vk0NrSCWc7PE9vWLKW4pKeXLtCCHDby6QnG7avDllHRMlc9hwl2zHJ+DhBi8/5wJ7ZtA66TYHV9GbnlEcfQ8sQ2VVryxAjGDsCOJUYbt/u6Nj8KEcWUZi4/hS2roC7NHvV6gy3q8vwZbFsKYqu9pBRr2klxgje05cBeACEy85kJPhjpIRg7VrmwINW1H2Ak17PYMpXVdE6NcfsbqwlftmmVcjPUqpwKAHBNX74qcStDiChbKSUBRTGQorgr5+a665UPRLqxZVRsXc07tqkChJgrPTNEFM0LPsfUi4zsiVfmxl9wNXbeuWp7YAAAgLo8f1KKN+/RM8kLEEAkROq3OoZWYCR3NDi459O4Z/tHG+79VdXRlayvZ9sJs5ibZb3BVq5SWgKrAA9AiIYUw2kri6f4QKTH1bThnjVvpHXvM8tSteTccT4U68eWUUF0FUC5+n+01OJZIdqwDWBsUbwYx7apQpoRXY1dd/l7todsTclU5seeJ9jRWLf/P4RwfGMV8CJYCNdutJRighLkkL935yccXcnYanllVdmiaKmFM4hhJbOcn4eIoilBCqymr60L8EAAEcu4IrJQ04OxbSpaZgxBmgt4Wm4HEKJscfply1YzXlf9TkXLjMaC/e/nWfdrVwM1FGJF2zErudLMIY6RYwjSvG6WFjL5sScjwf5HMbY1CjKCz9O8HwDwH1cfn2fdcUxs3bHNCiHEkYTwBoaeOQQAKDG06I/XbPoVBGkOQZqDENJldeUCz7prIUS0SwR9khDsEHn/v6v6qtE/gJSiZUYMs7REC5zLwWblLUd4tqVV5sZfRCzv1rPLw3almHC3972TOLZOi/LFqh+WbUBEMZQgBgKDez7B+Wu69HTyglXKznKheL+2/OaEjV+m3hbAgxhWDN123y4tMXdCqG/eBQCAZnpl2NU98O7i2eP/VDx38l/Ddz34D5QoB618btrR1BxAiF7P9BVACN29Gx8xVpIX+WjdxuLQiX+lZHfkpuaUb68IRIhmvYFmxuWtQwwrOpapsG5/o6MrWUgxvJFNXoYUwxm55eHyzPBT5bmx56xKYfHtJDIQ01IBAEDobL/d0bQ8hIiCCFJ2qbhkKWqO8nnrykeOfR3SFMvV1W0W2lpvhRwnA8ex7GIxQQyj7JRKy3YuP2cmkuf16elX7WIpCRzH+s+kGPxSC1MFbybB+jrr2f+u4+qZ5CXW5f2Mv2fHx2jZHWe9oTY9s3TeLGamk689+XkhHB+UGzrvSF889k0AIXS39r6TkdwxbFsqABBi0yibxdy6Lup6bmUU0cznOH+409XYdbcYadguxpt3UYIUdHQlBxzHpGVP3KoUFwujZ75bfVHuvBMiik4PHf5SeerSE7Qo10h17QekaONOPb8ykjr+/B+b5fz6DukQIUhRrFnMTOaHT/0bpFlxzVyY9YbaKE7w3nQxIIQUx1dlGITg4uTFnyCalYhjG7TkjjAub/1bredqYleNVNuyV1mcOqxnli4K4fgAommOYMd8E+MzCCmaxballWdHfoEtQ3E3d9/H+kLt2NRLSmL6NS21OEQc22CDsX4+GO2xKqWl5OGffdaqFBcRw4iQYnghEtoixZv3QESxanL29fLs6DOupg33Qojo1MkXv7g2ubi+HEMvQYS+VZoZfkquazsg17Xtd7f0Pkjxog8iRFtKKUkLchhSNFueHXmmNHnxp5wv1M4Ho73KwuTLhbEz37WV8ooUb94l92z/GESIyV06/k1lcXLdNBrEcDJiOdkq5maM3MpI7uLr3+B84Q6htfdBI5+ZgDQrMnKVMfHLFCEYI4Z7IXXihT8JDuz+TcfUiwA7lhRt3MkHY30AEKIm504Agm2zkJkUauo2Xx/HbmRXRvKXT37L3db3EC26wr7urR/2dW35oJZaPGPm0xNSbctePhjtLc+M/KI0dekJWpRCNdvv/CPG7WvSU4khIdKwDVt6meIEb3lm+GkhXLtRW1k4nT1/9KvRPff/NUKIxpapUKzgARAiCCHMXTrxz7ZSStKyJw4IwWYhPcl6As0Q3dwUHDGcBCmKQwwraZnEeYCxTYuuGj2TvEDxYmB18vbmXguraVl8KN6vLc+dyF06/s/EsQ0x2rAN26YCVtVeV29CsZwLIpoRo407SpMXfkIJUlCub7+NcXlqqxOj9QEex9TLEKFvKUszR6S6tv3ers3vx7alaSvzJ7FpVAiuGrZWEtOv2mp5GSKaK44P/QDblkaLco2lFJfkurYDkGaE0vTlJ8E6unAIAYIUw/m6Nj1qKeVlI7c8LIRiA3puZbja+DXtBgAi8hbmwohmBCFcu5Fg4lil7IyVSpxFNCuKcbD7rZhlZik3vXL8uT+M3HLPnzOyJ24Ws9OcL9wh1bbu47yhdmVp+jVsGmUjt3JZrmvdt8pCvOG3xdaUHETU3xcnzv9Yru84KNW27PW0DzxcbaIJcVQlTUuuCCEEl6cvP1maGX5aCMUHOG+wtTR16Yni2ND3sW0qUrx5j9zQeQexbT19+tBfaqmFM79M9DLPQ3HzFuaWaISqbW2lu0yTGOkMThXyOBuNUrXjY/Ylvx+Fslmctm1g+XwgUCjgXKmECz4fuiEl5L+jiG1bYnfXhJ3Pz9N+X4PQ0X6b0NF2kKmp6bKz2RlKlsN2sZionDrznas9YRxVKyCe+wHf1LhT6Oy4A6tKlmts3otNU7FS6TE2UrOBcsk14Cr5E7GqbDOuoX578eXDf6WNjj1PbNswl5cvCx3tB6WBvoeKh179W31i4mXirFLpIbxwxQuE512BB+77INb0gp3PzzE14S6s6QXgYEvc0HV35cTpbxtz8yeuXjOCMaZE4YiZWLrg2bfnt7CmF7XxiZfMpeQFbBhlqb/3navsjqfXtoEMI0KGEWm3KwK83lpimqpTKiWRwHuU02e/q42OP3/VdaBBmvoO7fc1eG7d+9vWSmrUXF6+zESjvUw43GnML5zGpqnIGwcfKR46/NfGYuLcVcu/gHj+a5TbHZUG+99NCHacTG7aSmUm7Fx+lqur3aicu/AjsCaxQAhJA32DTE24kziOaedys9ryyrA02P8w5fXWurZv+2gV/MYO4lgZMozAhIJttNdbKw/2v5v0dr9Dn545YucL87TfVw9W+1dKEgNcLNpXPnHq29g0FTYW7YMsJzsVJQ0IxlYmO1U6dPhvnHLlCg3fUdQ8Vxv/gWvn9o9bKyvDAADo2b/vc1jTCljTCpBlZWLdaB4Kec5Nu91xyuWKQIYV2Xis31xMDF09MadkORj+wCPvNxJLQ8RxTCYUardLpSQSBC/X2rwn/9Qvfv8qcGftOjZpj+dxefOmR723Hfhdu1BY1CcmX7ZWUqMQAChu6Ly7fPTYN8BbmFdfc93wwotiTd3W4OZbP2fm0xNWubiYvfD61wMDuz/FeYNtcl3bfm1l4bS+Krv2tA08zLi8tQCAWVutZMRI/Zcjt9z7Z5Qoh9TE9BHIsBIje+K0KIetUn7OyKfHtXRiiPfXdEnxlr16bnl4NapbrsxPvKyn3vDfI45tYNtUEcu79XRiiA/FB6omymIAXJ8uR1Nc1bifczGyt9YxtQJiefeqHOd6U2SnKqc3VbOQmcSWqUCImCsDClw1MAag+my3yvk5LZUYkuLNexDLSeWZkV+4m7rvDQ7u/YytKWk9nThXnLjwuFUuLCCaETxtAw8L4drN5dnhp4lVZUBrqYUz+csnvxXov+WTeqo6PKMlT4yRqnIuPZcaNvPpCaOQHpfr2g4I4doBLZ04vyqDEgtjZx9zNOUNMAQietV4Ocx6Q20AEEJLrsj1TJDryywXFqO777vs77vlf5SmLj/haJW0nlsZ5gOR7tDW234PEEAcUy8WJ87/RIq3XHTbts66A02V2dFnHF0rsN5Ac2Bg12/w/kh3eX7sucyZV/7G09b/MOsJNuvpxSGjtDLr7Rh8Lx+M9jq6kqU44Wus228Q29QQy7m0dHqIdfnrKY5fldNdC/AgiuawbamQZgTW7WvEhlZYHWpQAIBrho2EEMdWyynH0Au2UkzaakWCiKLXfKAgQhTFCT7W5a233L5FCBEFKZpfZWEXAagCSlaluBjo3/UpZX78BcSwIjaNkp5NXmJkT7w6UAJQSy2cNku5WVqQQ9g0ylf71UCIKEQzEuv2NSGGldSl2aO06IpQbE33ukbHqwEiVQsLS6V4wXe9tF1LL51DNCO4W3vfWZmfeJE4jmlkli/K9e0HpVjTLY6pl8xCehwAMGKVCwvZc0f+IbLz7j8xy7m58uzosxQvBhjZHaV4KWgWs1NmITOppReHhJr6LUK4bpORTV5CiGYRy7lLUxefMKr7etPiWFeMEMcEECGJ87YhiFiEGN7BlqoZ+RkIEW3bWgETx5TFSJ/X3bgbrLJ4CMG2aSlphhYCVYYVoiCkGEIwloTQS5Fg3yMAEMKyctSL6nia4n666tkDIESU39PcUCjNHxWFQCsEiLYdvWiY5SWEKLq2ZssjNf7uhyvqyoVSZfEkAACytBhAiBF5zlOnGbkpjnHHQ76O+yBEXyUEOwACoJvFBcMsLQqct6Fq+HzzngNblqom544LNfWbAYDQyGcmbbWSDm7e99uOaZStUm7OVisrFC/6xVjjTsblrcOWUXF0JeuYRllLzh6zKuub/P+y9bZAFVp21fCxus3K1NjzjlJJCw3Nu+1KaUmbm3o1d/zw39rlYjL2rg9mzWxqVJ0cfc4u5uchgJANhDquodYhxBDHMdXZqVeE+ubdiONclCD6HbWSvl43+csWcWwjfebQX1cNoxgOEEIIdqxVVNxwDL3oGFrRMbS8s2Zu+8vsvyrRItrk1Ct2OjNB+/2N+uzccW1s7Hk2Eun2HDzwu9rE5CvmwuJpJIkB2u2OQYbhieNYxHYMYpkqVtQcNvTSeh47/38ts1xYpFjuL4VI/TYp3rLb09rzgFGoPkRsTc0WRk79uxCu3eTp3Pg+IRQfpAQpaJUL8+rSzNH85ZPfLs+NPvtmMpxV2ut5iNBFWnTViNGGHZ72wffwwWgf43HVqMvzJ8ozw08jiuH9vTt+zSxkJvXcygjF8p7Q5v3/F+sNtlqV4mL24uv/qCZnj2Hr2iSStYIQwZodd0Ygolha8sQ97QPvRgznAoQ42DTKAGP7ZtP3K7uhaA5QFGMUMuNirGm3WciMK0vTRxi3r551+d4S4KF4MWCWcrOZoVf/rqqH7X3A0ZVccfLiz9zN3fe8ifEZBhg7VqWwSPNiwLVhy4doQQpCmpVYl6/OKGamrHJ+ztXUfR8tSEGrnJ8rJ6aPOLqaoyVXhHUHmvhQrN/ILl/ODr36ZcfQCrTkjvq6t30YIkSvHH/uC3pm6cLNPvcqEJMEAHyHYvknuEBkg7u5+365vv0g76/pcgy9WBg98z2rUljwbdj8AUIINou5GeJYuru59wE+GOkBAMDy7MgvynNjz9mV4tKbvdghlndTnOjTjcQQI3ni3s7B9/HB+ADA2M7Pnfo3WpTDFH9jCsTbKWwZKqKZfzFyKyOe9sH3uNv6H66aSkK0ZproGHqRD8b6sKGXHFO/xqvKsQyFFuWv27qadTd23cP5w50UJ3iEcO3GyJ77/5p1+5scXc3ygUiPEI4PEkKwmph5LXP2lS9h06h4N2z+gL97+0do2R33bdjyIcSwIiAEx/Y9+A9SvHm3kpx9nTiOxQejMsVLAUgxghRv3gMhohAneK1yYQFbRhkxrPRWaScQIRpSNGvrao4xjTJEFFuaGX7aLBcWQoN7Pk2xgudm2682m3xp6uLPiuPnfiRG6jeLsbb95Znhpyle8EFw45ytmrQHKcRybu+GLR8glqmVZ0d+ASmGhxBR6zHU1mr1GhsBAIwwsifmaR942Ne99SMQUTTA2IEI0Y6mZIhtabTbFfF2bXoU0awoxppuoQUxYJWLi4Wxs98rTV16wrku3WZ1/xYg2LF1La+nE0NmMTNla0qa4gQvI7ojFC8HjUJqwjHfMChfryheDPh7dnzMqhQWsW2qFCf6GZe3FkJEI+bmzxCCMYYIHV58/rEPulv7HvK09T3EyN66Vfasgm1L1bPJi2KkfjtxHNPR1eybAS4EOzYAYB4A8C8ULz7OByI9nta+d0q1rbdygZoNtlJaLoyf+4GjKelA385fcwy9ZOQz4wTblrdz0yNcoKabOI5Vmr78pLIw/qKl3KiHf6vCmDixGFWXTDoLhQLOB4MovLyCl5YSztz8vDNdKOD88jJO+HwoGK9FDUePmC8NbmS31ddTzdksTjMMYMDNZIL/hwrrRgnSNMeGw51IFP3a2MRL5WMn/oX2euOe/fs+DyFC64U0YN2ouHffckbo6rwTMoygjY4/D2mKxYZR4RobdjDhUDu4BuCxNWA7FkCIptyuqLRx4D1YVfNsPD7g2r71I+XjJ/7ZmJp+bQ3cAaAqhV37m41F+/j2ttvsXH4OQIisRPI85P4f9t47yq7jPhOsePPLqXMG0I1IEAQI5iSKoihRVrR3LWk84/WM5fV4bO+e2eM9613v7Hi8O/b6+KzHxx5rHCTZHkmUrEiJpMRMCiQBIjcaDXSOL8eb762q/eO9BkGgATSDpVH4znn/dN/3bt26detWfb/f7/skQ905/n6IseTOLxwR4dVlQcx2GtE7b39RnRh/KMgXzvnr62dJIj4AhODccRry4MAhROnTvKMRBAmRoERVhPS0e2HmGdo+7wNIliPO7OzzV445EbKAxGL/mSQSg+q20Xulrq5d3srqccA5I+nkCEklhiClalitLV7dh24rcvjQaePggU+p27e9x7lw8fv6nl2PquM7HmL1+kpnHmtnzSFE5OGh22lXbgLreiqoVOac8xeeaj7/4v8XNpprIghsub/vAIAQycNDt3szs8+LIHTN46e+JPf3HdD27PqQPDR0G47VepGiRJHU1gtDmpYSYegFpdIFEQQOa5lFbtlVSAiN3nvXb5lHX/8Ca149/oNS+aLwfQtrWqr18pE/l7q79wrOAkioou/b8xHArs7ggRhTf3X1RLC2flrZvu1+kogPuLPzLwL+xvjSdo4/TLPZcT+fP8tdt8E65I6+b89Hw3p9OcgXJjd7P4aNxnrqox9+VerO7fJXVo8HpfIM7e7aLXzfBBBhqadn77XKCDYDc5061aN/DCAESqprd9CqLUEIob069xLRI7na1LHPMc+pS7HUCJK1OMRY7uiCLADQzjxYe/arv671jtyldQ0exqqWRIjIRI92I0xVwUKvbWKhRFsLU98VLPSpEev2aqWL1trcS5ebBECMZdjOZl0FCEuIUA0RSdus9B23S29gaDfX3Gr+nBCctefeqwNkEGEKhBDm4oXvAwgBbZdokUvHCsEFCz05mR1vLUw9IVjoGoPbHwytVr509JkvCx4GRt/o3e0qAuZjSY0rqe7dkaGJ97dzXH07NBurjQunHttwHuRh6CFCH/Pr5VmtZ/hOtWvgVogIxZISw4qWEEIwCASQU127BGdBc27y24hQDctq3Fy68H23tHbq8mcQy0osaFYX/FZ1EWuRnJrp2dcWl75xUL127tjnpVhqhBrRbqe4csLJL77KA98SnIdG3+jduJ3JC9zK+hm/XroIIIQCCKCkshP16ZNfigxPPCzC0GvNT32XGrFeOZHZDjGVtd6Ru9sl957pVfKT0bE9H65Pvf53EGMJIiKFVjMPBASISjokdINoeROQ1LmPjll0q4VzLPBNSIiyWTYMRIgCiJC9Pn+EB4HV1np6o0QLQIiRrMaY5zb8RmWOB75JjVhvp5S9fas5C4lmfFUIIIiipfx6Zc5amXlezfXfghUtiahsMNeqhI5ZUlLdu6VoYhCrRkaElxG5EEI5nh6DI7s/aBeWjjn5paNSIrNdiqVGNhMcxpISI3q02ymuHGeeU9d7R+++MoMntFuFyqmX/yyx89A/J5qRdcvrk20XMKsMMVWVVNfuDQMWITiHGL+48vRjv6r3jtytdQ8eRpKsI0w1okVyEGEqGPOJEe1BRNJaC+ceBwIAohk5t5qftNcWfiA6rsbXQsjcOkFy1HErFylW4pRoyfMLj/+GEIJlk+Mfihn9hy2nNNUWRmdBROvahxD5R87b4x8joipStDdk/sYeXQAAgOc3V+qtpR8ocqwfIyJTJTEqS5Ee0HH+1ZTkWDI68h6J6mnbrcwQomr1+tJLnIe+oWXGU7Gxh4TgIYRkhnPbAAAgAElEQVSIGHr3TaXa+W+4fmNZVzITudSujylSbKBprb0uET2D2hIEDgAQCsGZIseHKFGTfmAWbuQgJgQX1IieYZ5dw7ISI1okSyOxPgAh0roGDols736AEOG+12KuXWleOPUVJdO7z69X5ohu5FpzU49z33vbhlOXY2sZPKqWlFKZ7ZAQpXXu5JdpPDlME6lR68K5x5ndYYohhEq2ey+iktE8e/zv1d7Bw5BSFUmSAQBoAgCA2jtwUEpnx+3FuRf8cmFK6Ru6TTDmB/XqotjkZfdW0JnQXoII/QC8kWspQMfF5p38NgAAcN+3hRBcHug/CITg1snTXwnLlVlsGFnjlgOfQrIchYRInXaUOp+fAbQ1eSCEzzqF5aPUiPcp6e69cjI7jiQlioikQYSoYKHbWpj6TtCqL7vltdNutTDFPbexFbvdTp+vQ4S+bi3PPqdke26KDE08LCdzE/GJWz5F9WgPUrSE6A3u5r7b9Ju1RXt94Ujx6NP/wausn+W+Z15vjEBCVBqJDyBClejwzkeE4CEQggvOgsBsrLS1NG4wfoXgzLGrRt/Y/ZIR6xOcM6LqKSyrMTmRGWeOdW09lI12IIQRlY3Uvjt+jRrxfiwrMcFCD0CEmec0RMiuagMPAxciRGLb9n2cGrHe0DaLcjI3oaZ79hIj1ieE4F13PPIH1Ij3O4XlY17g26HdyiNJiWpdg4eQpESt5YvPhLZZpEa8L7Zj/89LsfSYvTb3Uv388b8PbbO44UKwFXSI1VcRlc7Up459wRjc8V6tZ/hOvW/0bqpHe4gWzQEAAA88M7TNoltaPdW4eOoxa3XupdAxizfShkJSu4RITnXtQpIc8RvV+ebcuW951eJ5wVmQmLjlU9ey3dwKeBh4EMLn2mM51q9ke29SkrkJrBpphImKZTXuFJdfd4orx/kVBA8AAIS2WUKYfLYxfeKLRI90yfHMdimeHpUiiUG/UZ2HEOLAbuWdQrvcMLRbhY1nAEvyX/iN6lx0dPeHEW2r7LddC4lk5xdftdfmX4YQQr1vLEtULY0VPZnad9evA8EZgBAFZmOt43ji38hBg/ueCSDE6f33/CYQnDHPbdJoYkDL9d8C26LoN+hDiABEWG1rTd2HVT2DMJH1nuE7saIlzKWL379yU8x9z2zOTX6r44jC2hyQADzwrcbM6X/kwdZI+cBsrCFC/qIxffyLUiw9KiUy24mqp7GiJdsizFTjjAeCBY61OvuCW147ba8vHgntVuFa48tvVOabs2e/qaS6dkKMJRpNDhEt2tUuEeDMLa2eNJcufJ9dZq16VZ8Gvs1cu1o799rftBbOPyEns+Mdl7k0QJjy0L9hecQGkYUI/aP6uaOfU9Lde5R0915ixHoQlXWiRboCs7HilNZO3ijStgHm2nUAwEtYkk9KsdSIMTjxPq174NbI4I73Ej3WQzQj1yGzzcBqrrul1RO1c8c+b+cXjjDHrlzPTe168H3gXbgQTmICie8JL5vF3dEIjMFePFSv84qqQrXZFH4kAqOcAzYwgIcpAbSvHw9dvBieE1sQCn03ABHENJ0aDdLpMevkqce449S0vXs+KnXlJpCupcwTJ7/ELeuqsl4AAAjLlVkRhh6Jx/shIYq3sHjEXVh8haZTIzSb3QERenFjMyYYCwRjPjc9E8lyhPT23MRdr4k1LYkUJRqs5yc3K+sBoK09E73jtgOA89A6eerLYbW2iHQtJff3HSCxWG9Qqcxx89pCj/7q2ilu27WgWl3Emp5kllUGEEIRhp4yMnRHS1XjAIC2kCjGkgiZ780tvEyzme1ACM7qjRWkKDHueJsSnKzZzDeeee4PaTazQwSBg1Q14ZyffjIolqaTjz7y//j5wjnW2lyolNt2hbtu052ZfS4sli/iRKzPX109KfX07EWGngEALHfuE6Kp5EiQL0xx26lCiWo0m94OKVH9wvEpAAAkycQQ9wMrKBSmgmJpmiSSg+q2sftwLNrDXbcJOAtZo7EKMaaAtI0PkCwbUJYMZWz0HtZorAX54hTNpLcZB2/+FI5Euvy19dObrR+451mRw7dO6QcPfMpfWTku/MB25xdeprnsBECIiGCzewkhMoy0tnfPh7nntcJS+aLw33A8QopspH7u0TvDWn3JfO3Y57nnt3A00q2MDN2BY9Fub2HxFe5dex7xlpePGTff9Athvb6KY9HusFKZQ4oSE4z5yraRe61Tp78KrnQQvA4Cq5knivYHxsD290RHdn2Qh77Nfa8FhBBENbLxiVs+jWUl5jerC635qW+7lfzkxnc7c9l5hMlcc/bs15V0997I0MTDMhCcOVZFSffsDczGWmi31pV09x6vVpxuzk1+K2jVl/llm0yIEErsPNRLI4nB9E13/QaACAsWODwI7E2DAhBCJd29h0YTg36jMosIVWkk0d/Jynmz4xGmChCCRUd2fYC5dlUEvnV5BF+0OVYOAERyPD2q943dSyOJgQ0xWymeGvHrpZnAbK4b/dvu54HX8mrF82557TRom/uqjYsnH7vSYacj+vwDRKUTRNUzWs/InZHBHe9lvtvkvm+qXYO3upX8JOA8VDO9N9mFpaPm0vRToW2VLi/nQ5hIXXd+IIMVLaV1Dd2GFS3pFJePUZZwt2Ls4dUKU8XXvvf7iZ2H/ll0ZNejRDOyodXK2/mlVwVnjHlODYD2O0TN9v6nxM5D/yJ9013/GqtGBslqXE5kx53i8jFjYPt7mOc01p792r+Oju3+udi2fR/Teobv7Jid7EWEKjz0LWrE+4gR7U7uveMz7TV26Akh+Gb6ewAAICcy21N7b/9M0C7/o1hSYqCtw/PmW46JBAQL9b6xewXnQWg11y+vDIAQ4Q2n3YSqJa3lmWcE5+zKoGlom2VE6OewoiWNge0PtqsCEOa+ZzrFlWMQE0VO5MbVbN8BRKlqLl74nrU6+4a2FecMQAixpme0roFDSqZnD5bVhFctnueBf1VgCctKTIqnx0ATESmaHMayErsy80pwFiJMvi04C2Pb9n00sevQL2FJjrrl9dMs8E3BAluEwRv6mO01zhlE6IXmzOmvqrn+A8bgjvdt2Mmruf5b2gEsu6Kme/a5lfxkc/bs1wKrsbYVbVbBmd90Vo/FjP7bEMKy6zWWGubKK5yHvqak8pSoCdMunE3FRx+EEFNFjg0QLBkAgGo7xUnSuWA+455JhGQI0T4n475Vby2+MBp74N97fnNFliLdmpLaDiG8iCCWujP774EQwnpr8SU/sMoRvWd/y86fQhCTXGrXfs9vrrh+cy2q99xsOaUpxgKbYjUuBA8oUZMYUS1gbp1iJSpTvQsAMA8BgBLVM35gl0yndA5DolzPQezSOLFahdrpI3+Z3Hf7r/qN8hySpAgiVGOB13LWFo5gRU85+cVXsawlvUZ5FmIiQdR2AnTyS6+9W5nJWyJ4IEKEe26LGJEutW/oNmv2/BPxW27/jAUE38hoFL5vWevLr3Pfa8np7IRfq8xJ2a7dSFIiAIAmRAjlHv7ofYDzUB/Z9h5nZfFV7rut6L6D/wxCiC53gbhuWzr2O+2JG6LLurpt8EIoFAIICCHqMKICUanTTCHApQYL0b5REAIh+I2IBBGGLne9JkSQuLNzL3LLruBEYlAZGjiEVCUKJapuWpL2UwyIECaynmaB1xRCOKAtpjYFtpgG/FbRWShXAQDPQISeI6qekaKpYaJHuxGVDIgxCR2r6lXyZ/1mdX6z6DbCRMKSlmCeVeUdVyge+Laa6f3jjtjYVc+M4CxwiyvX1YMQnPmVky/9aXxg16Pm6uzzjeXJbxMt2kWNWG9r/tx3Q7u16eL2cjQunv5K6FjlDXIJiHZZIkSY8sAz/Vb1qgioCANbCB4y164wz6lHhnd+QEl37+a+2wSCMyWZ2ykED71qYcqrFc9DKmnp/Xf/ltYzfDvRIjl7de5FOZYaQ5JshK5ddfJLr9XOvvrXXr188e1u7ADYsHwH5wEA57Ek/xWNJoekSGIASUoMEapyFrp+ozLnltfPXmkDfj0wz6mHVjOv5QYOuZjI7SwLLaF1DR7Gba2kPqewfOztthuAS1FzE7zNsdyZayqdz+QNDr+ETmbJP3Y+AEIIEZE0dkX/YFl9ffXpx/7ltbSGmGOW/EZlbrP/bcBam395/bmv/YbfqMx59fJFLClRGon3W8szzyIqaV61cP563w9ataXiq0/+n1SP9gjOQ8FZCCCCECEKESZOcfn1KzerTnHlBADgl7fQFTcEb/92ofO5ocYahBC2y9oQulLvAoA2aQQR+m2s6CkI2+OXh4H9VkqSrJWZZ9es5rpbLZxjrl1rp+XaFXPxwvcEZ8GNMuHefH2BC9ob22UAwHe2+j3YGTRtxvnN77zO+DoNADiNZTUqRZPDNBLvQ5ISRZgoPPRtr1666FUK5zZznXmr4FyIeBx9d2GezWga1F854j+32XGnTwfHfF94GAEsSVDmHLDFRTYbBOK6kcR3C5BQBRKq2OfOPQ4QxPLgwK1BoXCOJGJ9gPEgWFs/zb3Nsz+DSmUOcB4yx6lbJ059OazXl2kqNYJjsV6pt+cm2M4S6ax9hBCMBUG+cI6ZZpEkE4NIkSM0m94OgADccRvXWvhBSlSpt2cfs6yy1NOzT9s18QhAiHDXbQIEMWs015hpFq91jUG5Mis4D+XBgUP2mbNfJ/FYH2uZBe55Lbmvdz9UlCjoEDwQYwohgGG9vuwtLR+Verr3KqMjd12PNBZCCEjIDGuZBakrt9M5P/0ERIhEDt3yaZJIDNqnz36d+5uPKe64dRGErjw0eJh2d+12zk8/KYLQhZSoJB7rBR2Cp1PCKWrfefJ/R5qaILFot9TTvY9m0mPyQP9BwVgQVGuLgPOQO05dHhg4iOOxXn9l5URwsvIVgDElsWgPjka7wmptkTtuHUII1YnxuAiZJzzPRLIS0XZNPEKzme1I1RIiCCxuWZVrXXdYqcyReKzPOTf1uDs3/5JgLCCp5LBgzBeMXbXm5K7bgIQoQaFwTnDB0a6dHxB+YG2Q4UjTkjSXHeeOXVW3b3sAx+N9grMQCMCBACIoV2aFd3UG4qX2FIrTkFJVHug/4FyceZZmMtuCam1RBL4t9fXd/KaMqC0idO0aAOAxourPyMncODVifYhIRQCE6JhcFL1a8UJotdY3CwZ15qESAOBpiPBzNBLrl+OZMaIaOYAwYY5Zckprp0KrubbZ9zsuis+vPfuPv345ocMcq+w3K/NXHm/nl45Wz776V4gQlYeBDYTggVlfAVxctZ5pLU1/j3l27dIfIEROYeX1dkk8AEBwJkLfVtLde5Ak60qqa3fbXcksSvH0GOA8COxmgdlWUcl070VE0v1GedZv1ZfttfmX6wvnvxs6V2s+XuqbtvbkEgDgHxChX5Xi6W1SNDWMFTUOhBB+q7bkltZOMe8azrYIEYAQNQa2P+CW107Xpo5+DitaQusZvuPGQZpLa+qTiNCp9rmTg4jKEUiI4r7+3B/Z6wtHNo51iqunEKH/C40mBqgW7caKmrDozHOChZ5XK0651eJ5wcIAy+pZe23+ZaIa2baZgxDWyszzzPdaTmH52PpzX/s3l5M03HMbXrVwlQGPW8lPVk7/4C+wrMR44NtACNZ2H7ta5N9eWzjSlofv7BghRJe/xwQLvcaFE1+y84uvdtbVmC9ffCYwG1eVynQyx9YhhF8geiRHI4kBohpZLClRSKgqOA+bc2e/4VXyk1fuMwKrsZp/8Vv/luixHh76dnt9LoRbXj/NPOfNWlGuXS0effoPvGrhXGi3CnIyN0G0SI65l43HjTa1n6FvYll9Xk7mJqge7YaEaohQuTV79pubSU90riMPAHgcYvykFEkOSfHUKFGNDIAQhVZr3SmvnmK2WXorhAMXLECIKgAI7vqtVYiwhBFRAAC+7VZmB7tvn5SlaG/TWntdkeIDnAcOQkQFAAAIIBSAMyAEl2mkSwjOhGjrGgohhCrHT5lOaRIIzrlgQTq+7X2VxuxTlOoZRY4Ptqz1kxAioinJ0aa58hrngYuRZMQiA3ek4tseLtcuPF6uX/yu4KEXj/TfRoiaEIIzx6svRLTc3lxy18dMp3hOlmJ9AIB5CBHWlOQoAACaduF01Og7dKMMno22QoRegZgoWu/wHUTVU4HVWpeIpPrN2iL2nIYQgjPfaUCIcEdWRm/NT33Hb15DJuRtYEsED/c9M6hX5+Vczz5teNt7NtyyaDw1jGQlAgCoAgQxVrVUaDbXaSTWyxynKsLQRXI77ZzGk0NSOjvhLM2/HDSqizwIHCTJES+/elIbHL2bb7Fkihqx3vjEwU9DjCVEqAogwhBCtGG1jRUtLsLA5WHg8MAzsawlQquZBwgRCBHigWfywDMBwpSoehpJSiRoVBcAAL973RMz5nPLKgvGQm9+8QcAYwlBiMzjJ77ozsy9kPrYh/8TfAeZAT+JoIqR6d734O/Wl85+AyL09GaaKf9U6EyqGxu8LUOJZcezO+74THH65T8H7c0OAAAAp7R6CgCwZQHRzdoj6fFTPDV8p2Kkx2pBYHecDrYUZQegLS4NAPjbt3JeHgYuEELQSHxAAwAQVU/59fLF5uzZb6q5vgM88K3y8ef/RM307FVz/bfQSGIAIoT9RmXOKay87jcr816tNO3VitOh1cozz65v5v7xTtApwZsEb4HsuBb8Rnlm5an/+ktqbuCgluu/BSt6CiIsQYQlwXjYWpx+sjV/7tvvvNU/enReuleRXx3niq9d/Y2toxNR/Pplf3LAW3iWOgunp95JG35YgBAhLdG7T9bjA4FnlRGmr3O2iW1ue/665ib5Rui8uC9/eV/sfH4owERSo7mx25L9ez7MQt8hkvLvw2uUlHXG0Dua87aCep3XAACv/VOe450CSlQVgnMciXRpE+MPhbXaIms28zSVGgEEy9fTD2TNVj5sNteDQmGKNZvrJJUcVsZG7ma2XaXd3bs766P22kcIATgPmWmVnanpJwCCWB4YOGi+fuIf4vF4Lw+CTUkkADrZnbqeAhCisFZbcmfnXiDxWB/t7tolgtARjAXXIyOF71usVluyp84/QZLJIW47Nam35yaIsdTOIlITl85FsAQ6+hXK6PCdIgjcoFJdIKnkCMToquj5pXOEoZ/6yIcWIKUqpFRTBvoP8pZZFIz5rHXtEj/uui0RBA637IozM/sCzWR2cNdrcsuuYCOSfaMTAICKEpe6c7ugLEeUkeE7kK6luO3UjYMHPhVWa4ttUwxMkaYmIESIuU4DJ5ODtKd7L+A8EEHoMsuumMeO/x13OhsuIThqCzYPs3p9mTtO3T4//aQyPHynMjJ0u+DimoQIt+2aCJlHEokBKWdPBNXakjI6cjdEiGx2P7hlVfy19TNBpTov9fTs81fXTvEgcEAnMAkpVZCqxpnjNv31/Bk+M/c8yaS30Wxmu2BhAPj1NR2575v++voZ68Spx2guO85su6aMDN7ObaeGFCXaIfLeFnkbOlYFXOEM91bRCRotgLeoDdlxwd2StXDQqq8AAD63lWPd8vpZAMDZa/1fcM5Te++wAWjvk8yli08HZn1V6xq81VqZeZZGEgM0Eh/AqpZ2ymun/WrxvF1Yes2rFqdD2yx2SmW3hM6G/Lrtuap9YeA0Lpz8IkQIEz3arXUN3oqopPuNytz1sk3f7rk77/3rrms7ZNTXAWgHHK4Yr8tgi2vcjhnKP2xFi82rl66lQdpud5sgeW4r591A55x5sJHZuAUwz21BiD4PEcJCcHa9ObkTcPnqZdd3w2er07evbLU9G+hk5ly3j7YKzpkXMq/l+s1VBQAgS7E+QtQk6FTyNMyVV7YPPvRHtludVeX4UBA6VQjbhJ5oZ1v4EGGJCxYwHtgCvDG/un5z1XKK56J6zwE/MNcjetc+XUltU5XUNoIkgxItGTCnjrEctZzSeSGEoFSjjLmNlcJrf64p6e2aktxWrl983Paqs4oUH6BEicvUyIXMa0IeOBgS+Y0svXZEzA/MQsj8FsVKAnXIqhv2aaekPmjWFhJ7Dv+KnNTGIWnrOiFJiWLGPKzqaSWj7KGx5FDtzKt/05g++cUb/e5bwZYIntBsrYdmc10bHL0HQACQrMbdteWj2tDovXI6txMA8BIAEAaN6gLEWHKW51+Wu3pvQpgoSJINRKgcP3TnR9rip7UliInkLs6/6K4tvyYlUqPMtirMca5iJTdtsB7rMQa3P9iam/yWU1x5XXAWQthmgZEkR9R0z15EJd03G6tOYflYdGT3o/Xzr38By2qyY52tc98z5XT3Hqzoae67DTmR2XGj8wohhGAsxKoaUyfG3+ctLR0FAgh9z+6fI6nkMAAAIIlqPwzhxx8XsNC3m+szz/h2YwVcx1oOYSKrie7dVI3krPLyscBpve1N1DtF6NmVxvqF7zPfua6r2dsBRJgiTFQeBs4NKeB3CSIMHMF52BFfnWotnn+iNX/uO0TRk3rf6D1tkbj8GaedgfS3P6Rm/ZOh86La2Dj/w4+4OT/DjwEgQiTZt/vntGTvzZwF7urZ7/9f4DJy98cdEGGiGKnR3PY7Phjr3v5QJ0JJEaYq6Cy6fobNARFCxsEDUVarLwVr66frKyuv01xugqSSw2G9sSIN9N+CVDUOEcKbBjAYC8Ji6UJYrS8JATiSZN2dmXtB6uvdT7u79wD0RsaB4IIJITjS1Hj0ztt/Td05/nDzpSN/4a+unuSu2wLXzTKGCGJEwkplDgDBpb7e/WG5MtsunZKj2NDTSJI07l9DZ44QmTlunZtWCaYzY/Lw0O0AQeRMX/w+xJjiiHGJSIEYS0iRIsrY6H1BvjCJZMmgmdQoxJgiuV06ei0w0yxpu3Z+gFtWmVtWRert2QcRxJfIlE3Afd8Uvm9DgmXjlpt/MaxW54NC8TyUJA0Z+hsEj2iXU0Xvvfu3wmptEVKqsEZrHQjBSSLWz02rxBjzuePUwlptibtek7tug9t2jVt2hZlWiTWbeWa/OUKuDA81mW1XzVde+yscj/UhXUtyx21ap09/VR7oO0CSiSEIYXmzdZ/gPOSu22y9evRvw0pljmaz4yIIHL6JzhcAAEBJ0rRdE49ASdJYo7lOEvF+uAAuKyWBGAAAw3L5IlLkKI5Gu4NS6SKORbuRrESwEclCQqgIN9fJgIQqYbkyC4AQkBBZGRm+kztOzbk486y6bex+bOhp8A5I7J9GtLXU1FhoNddbi+efiG/f/wuChW518rW/Du3Wj1Sq4TJiYBNy4LM/7OZchXdjr/Tjtt/qZAhvOfP3x+76AAvD0G0AGYK2YLKWJli+ZCDhePVF12+utqy1465XX4xHBu9EHYIHCMEZ903BeYgQUXxmFi7PqBaCs0R06PlkdOT+IHQqCEl6V3rvLxKiJEy7eBYjIvckbvp0tTn/rOe3VgFo8/6yFO0xiLpHopHulrV+PJuc+AhjXouxwAIQolpr8UW/ahYY81tCcNayC6cvnZEzP2Rew/XrS1wwT5Fi/WCLwejOmmAOUenfRYZ2PBTdcdMn9MFtD7SF5OtLEGFqrcw8V379+T9xi6sn3kpG+FawtQwex65Zs9NP6SM73huazXXuu83G6WNfoIn0aOK2e39bTufKqfselkUYus5K2z4aa0aWxBIDNJnZrg6M3hPbf/h/gKC9kIjsvOkTQAhRfOobv609+OgfeqXCOWabW5sIIURSLD1qDE08LDUq2yHCMvPa4sVevXSBB76ldg0ettbmX5ZiySEABFeyfTeHVqvgN2uLAABBVCNrrc4+HzQr8wAiHBnc8RDEmGylvtC5cPEZ8+ixz0NJ0uWhwdsEY4E3v/iKPDR4G5SvtqXdCoiip9qCZ7BN+7HA4WHbDQdTJcZZ4DDfbXAWeAgTCWIiQwCREG0Rac5YACFCWFLjmMoRHvoWC9wGZ2FAZC0BEZYAhBBwHrZLeojEArcZenZ943sQIcJD30aYqp1r4JwFLmvbECJEqNrOggg9AYAQLHBvNPHwMLDMwtyLPPRtCDFVE12jEEAkRZLDPPBNp56fDD2rQhQjEeudeD9R9TQikk5k/enQs6qIUIXIbUFcFrgt5rtNhDHFsp6CoPPwQAhY4LZkIzkIISKSHh8UggdOvTAV2I1VCBFpO1xBACDEIgwcFrjNTgodwrRdEiQ4Z8x3agDAslmYe5EF7ZLBThvSEGHKWWAzz6lzFniYSpocSY8CAKFsJIZD1yo5jfy50HPqmLZFywBCGHAecha4LPBMhKmCqGwE9cKk6BBeWFIiRNKS7WPcJg8DByFMIaEKhBALxnwheLgVLaJr3AMbAMGVTO9NoWuXmWtXoyO7H5ViqRE123uzteqZcDN/0B8x4t1q/8GPD/zL+rqz9Po/Lv81Z1enT/+3Dj0ppyfuyz1qVrzi+ecKV2UNYYLI3kd6/vuu7dG9r/z9wp/W1uyrSuzeCTCR1ETfrg8pkcx2iBBBiCprU8/+YeBuca79aYEA7dQJt1UQQnAqvz0R7iuBqRJJDez9GFVjve05hgXrU8//v2yLWkLvBiBCuGv87n8T79rxEOehh4kSYYHTCD27Im5g6f6jAkIQaRm1O5JVe9WkklUTckZwweeeW/2m2/S3FAh6FxuDkaommGkWUcTIkkgkx33fghAibOgZIASXunK7oCwboOO2cjkEAAJACOWhgVtZq5Xnnmdpu3d+kCSTg6zRWAXssnvAeQgBACQW6w3K5VnWbK4rI4O3h+XyjOCCCX6dEijG/LBWX9Z27fwgN62yu7j0GonHernnmd7C4is4Ee+nuew4uIa1PI4YubBSmRNCcKm/92akaUn34swzYa22BEZH7gb4TboWgvuB7V6ceYbmsuM4Fuvlll0BGbgdKvJ1neCQosbCemPFnZl9Xuru3sNdtym4YMxxr0nwCN+3gQCCZDLb7DNnv879wJF6uvdASlWsa8k3GsVDf3XtJFKUKCGzFHkAACAASURBVDetEkAQeQuLr5B0egwAIWrffer3wlptSTAWvBX3UtZqFSClauTO2z/DWq2iOzv3gghDVx0bvY8kk0NSV26nt7h0dNPrlSRNeF6Lu06DpJIj8kDfzdyyKxuZ7Vcdr6kJP1+YDKu1xSCfn0SKbEBJNjZKj7jntVjLLKjjOx6yTpz8UlAonMeJeH9Yrsz56+tnpL7e/R13tk1dWLCmJoNS6QIkRJYH+g8CjIi3sPgqt50aQJi8C262P3Xgvtv0W7Ulp7x2mmiRLqe8dlrN9u6H6NrZbD/Dz/CTCkWK9WtKervj1uYIVXUBBEfwDfkSIULf8WrztludjeiyETK3DmFHDwpCLBE9Q7Accf12edyVLsqWU5wUgoWEKHHOQ687ve+TplM8iyCmXmDmW3b+dLl+4XHe0e7hggch81qUaGnHrc5AiEgYuIVCdfIxzkOXc+ZzEXqchx7ngc34G9IBQggugBCM+aZMjS7GfVOTEyPgOgTPRrn/pZ/gnPPAdyCE37BW5l4keiTX0dCEzHPqQau+ci2Dn3eKLU3mQghBo/HvuYXVk/b8xachJjLERDanz3xd6R24tfvDv/gFrOlpv7h2xlmafylx253/k5tfPUGTqZHMA+//DxBh0pw88SWIMBVB4PhaYYpE473YiHbReHKo9spzf7wVcgUAAJhrVRoXTz4GuOAAIUy1SBRHkoPC4BwrWgIIwbEkRxChamg1804Yelr34G0gAyHz3Sb3nDrRY93Ms2uh3SqEtllsLZz/7lbPDxU5ou3a+UGSSY+xemMVRyI5dXzHe7FhZJAiRwFCb4nggRDCrr0P/CuqRHIQY8mtF6fcRmHKbZZn4v27Ho12j93n28215tr0U1hSno50jR6OdI3dh4ik+3Zjxa0XpiBEjyvR9Lb4wO4PGbmRu7xmeaaxev5JhOmzmR2HPylH0qOYyhG7unoKEUlTE927rdLSa4jQv8RUllOjBz5JFD3TXJ1+kqiRHMJEliOpMd+sLiBMvki1WC41dsunJTXaHbitQujZ1er8if8K2no31wRR9Ex2/I7/0SotHgkcs9i99/7fwVSNCcEZC9yG36rMly688p/lSGoMUUmjarQ7ObTvEwAASCT1iVjPjntj/Ts/SGQ91VqfeVaOJL9FtRjo3vPA7wCIsG/Xl3ngmWZx/uXcznt+iyh6WnAe8MAzfbu+Upx66U9Z6FvRrrH7OAtdLdG9N/SscnX+xBchRDU93X+Lnh28XUv07BVA8Ors63/HfLcZH9j9ocbq+ScwVc7Eesffkxze/wuSHu+3ystHzcLcS5hI34l0jd6Tnbjz1yHEVADOme/W7crKcSwpf67EcjskPdaHJTUhabFet1maRgh/XTKS4UbpIAACSHq8Nzm8/5FY7/hDzLfrzdUL3yOy9oSeGdgV7Z14mEhKzLfqy55ZXQAAfHmrY+pytAmp0PNrxfOlo0//34KHgRRNDUNMJCe/fBQR6boR17cDPSGllAiNO82g5jSC2tuJQFAFa9Gc0tsouCuyTiLgCqvTHwdoMZrMjkV2J/s1BwBwdVkYBDCSUbqJjGRJx5F3O/sPYapGsqP3Slqs17fry2o0t5PIRhr8TAD+TRCAc6u6ehwhIgvBw3eLAMNUjkS7tr0HYaoGTnNdiWS2FemrnwWXNFd+CBCCM8+pM+bbgoee3chPuq3yTHN9+skwePezFN8NpLfH9+7+yOivEAkpLOCekdP6Gsvm7OLL60/8sNsCIcRIVeM4Gu1Wt297gDWaq0jX08xx660jr/0X7jg1aaD/lk4J01UED5IkHUeMXFitLUrZ7DjStbS/un4ScBGKMPQvJ9kE5zz7zz8NpP6+A0jTkmGtvtT6wav/RbDQh/D60o7C9213Zu4FddvofTga7ZK6u3YGxdIFqa/3ZhyJZHEkktP37/sEUuQL3H1z9gjEmOp79+yGlGr6/pt+nrtuwz595muQUMW4ad8nSDI5xJ03Svk6BIkPpbbDTJAvTNF0agQghLERyV2vP3E0kqOp5Iiybew+btsVbBgZAAAE4dWW4Zddm8Vdp+EtLx8TXHB1x7b3iJD5SJGjb9I95CywJ899Wx4cONR4/sU/IfFYP9LUeFAonEPq0O3y8OBtQbk0s5mT2PXAGs3VoFS6ADhnrNlc03bvehQbRloe7D8EKdW4e23nPByL9ogw9PQ9uz/kraye8Nfzk8r2bQ9ew0ELp3/+oympu2uPe2HmGShRTZ0Yf9g6cerLG845rGUW3fmFH2h7dj1K0+kxwVjAGs11ZWT4DkSpitOpUXXH9gchQp+/MqMMUapEbrt1HBlGTspldwSVypwzffF7NJUcMQ7e/ElIqCq2qIX5M7yBjQxpwZgHIUTUiPchImkQXy32+zP8DD/JEIAzP7BLXtBaV6RYPxAAYEQVhN4Q9BZCMAQQSUQG74IIU01JbUcdggdChCWqZ/3QKlKiJhAicqd865KuUsh80/Hq8+n4tvcHoVNhPLCD0KkJIZgixQfrrYXnTbtwqZSQMd+qt5Zecr3GUhg6NYzlSCI6dI/llM7VzaUjrt9cFoJzBDFWleRY1Og1Wtb6CSE4b+v4CiZRPUOwEhecBbIc7bteH0RGd31QSmS2AdCuoJCT2e951eLFztp+Q3vzKiAq61hR4wAIwRy7crlL4NvFltn6oFlfTRy66+tSKrsjqJZnlO6+/VjTM14xfwarespbzD+PJCUau/nwr2hDY/fJXb37neWFH/il/DltaOwev1K6wF2nzlyn7pXyk36lNK0Njd1vz1942l1beX2r7fDrldnikSd/D1FJh1TSECYKgAhvOMUYA9se0NE2Qo14H9GiXYFZX2nOnv0a89ymYKEHMZawoqfkZHaceU7dqxWnmXttkbwrIQ8MHBSu1wwqlTkciXRxx6m7F2eeo7nsOFLkSOdFvOUFhBBC9N78sMJD3+JeUHbq62cDu7meGrn5F6kW7THLS68pkfSYkRu5y7caK3pm8LAcTW9zavkzXrM0gzBRsKTEU2O3fBpTJWqVFl9RopkdRm74DrdROAcxUToZJC23UZwK7MYaEEJEcsN3WaWFI5yzABGq+lZ9yW2WLhDfrqqx7ARCWEJE1uVIaoRqsT4jPXDItxurXrM8gwjVLn9grwUIICSKkSaylma+2+RhYEFEpPyZZ/5jrH/nI1SL9sjRzPbAaqwy32lw323Wlie/aZeXjxrZodvjA7s+5Fv1JRZ4TS3Ve5Nv15fdRmEKIkwD1yz6Zm3Ja5YuCMY8zkIHcM7yZ5/9w0hu5G5Jj/dr6YFDjeXJb1mV5WNKNLNNCM4gJooczeyAZm1ejed2USWSsatrJ327scrDwIEIE6pGu4hiZKM92x/UMwO3OvX8ZHX+xBf1zOCt0Z7tDwZOc70tbutbPPSs6vzJL8b6Jt6vJrv3Snp8wDMrc4KHnhrP7UKEqlhSYlSP9wIABA/cVjubgkjJob0fV2K5cau8dEyOpIaN3MhdnlVb0NMDB9V4bqfbKE65zeI0IrIBEUJvJ32PuU5NsNCDCEtqru+Wdu13q8B9tyXFUiNKMrcTXGVY/c6w68Guj6pxKdUsuKtnn1x/DFw2OW8VkoZ132GW2wrqRMb/TWpbQQQhhABBCCGmUOJMhKHPL2VaNQvu6olvrHwOYbCpAwSEEEoaNmor9gKmSHo386ioEslSxUgJwQPfaa4hLOmYylFZj/VLWrwpWOAGXnveg+1UNhVhokCESOg7tbebMbYZIEIYYUlFbatOGPp29Yepx3UjdNryLQjR4xBCvCGuDgAAmEgaVaNdSjSzw66ungBACC3Zd7OsJ0cgAMBpls5b1eVjG1mBG9+TtFg3lfW0YMwLfLeOqRLFkhKT9fiApMUAZ4EdeleLJb7r1yaEIJL6Fau2ejz0rEro21UWXFuE9UcNqhJt78fH7pd0EmmsWHOFycpRt+nXEEbEt8Mf/uYTIYxUJc4azXV/efU4c+wqt50akuUIjkRyzvTF70e7cjuV7WP3Q4T+9vI5GqlqLHLbrb8k9fcdwIaRCcrl2aBUvkhzuQnaldvpzs6+AK7U4GAsgAgR58LFp4N8cUoe6LuFmVapoyG46TwCQHsM01TySFhvrpJkYsgvFqchxlJYqc65AnDN0DPGwQOfFEHgkFjss9xzm0AAACVJ1XbtvF3dNfEBwJgf5POTQbF8AVIik5gSsc6e+4ZxUPkUazYvufyIkPmCCy48z+Se1wIQQmbbNQghIvFo77XaCBGE2V/6tO4tLr3aOvLqZ5XhoTv8fP6cPDh4K7hOtoMIQleEzEOKEhVh6LJGuy0iCJ3LxVgFF4Jm0qe8lZXjOBbtIcnEADOtMmtZJXmAhcbBA5/CupaW+3qfCuv1ZYgQaYu8dtonS7oyNHib1Ne7v/Xykb/w820heR4EnpTL/l38oQd/lweBw0yzSHPZcXdm7gWkrp1ulzYZLzLzzWK5WFPjsQfuP9zRrINIknQRhl5QLJ3HbfevN/cPpRqUZN1fWjnmr66d0nbv/CBAECNVjm2U8okw9OWB/m/q+/Z8FGlqAhIiAwiBn2+7U2mxnT2x++/9nwEAAEci3xa+bwMIIVLkqHHwwCPy0OBh7roNb37xiF8oTJF4vJ+ZVsk+N/2EMjR4mF3Hae1nuDZ44NtSNDkMEcJte2w9DbewRv5JgCxD+X0fUD++cxfZPz/HLnz5H+zP8utkG/6kIZnCmf/uU9pnJBnKrx3xnnv5Be97P+o2/egA24U6SDIQRESWor1csKBdofIGBBAs5F4zonTvo0RNdXRtAAQIQ4gpRkAPQqcqUaPrUvnWxncFDxvm8iuakhyDEBHEiYMR1SAA0A/tcqk2/e3L12JCcKar6ZOKFO3ngocEIgohItnkzo9mkxMf8QJzfdvAg3YutesMhAgbWtc+s12ixRn3raa5drxhrh7VlOQYpXomguWoIsf7Pb+5upkhR3znwU9L0fiAtTL3gpzK7ezobF1Xa5FoRrrrrvf/b3K6ezcQnDv5lWMAgP/17d+Hzu++lYPNC5Pfyjw4chcPPFPtHbwNG5Gct7Z8LDRb+cbJ1/4msnPfx+Vkeoy5Tk3Odu9hZiuPZCUa1KuLWNVTgHPm5ddOypnu3aBcPK8Njt5VP/rSn70VpqrToS2wSRRUiiYHiWKkg1ZtSU5kxxszp79qLk1/jwe+dfkNhwghwUI/dMwihAgLzrdMyITlyqw9ee7bxuFDv+wtLL0CeFvxmzWb6xAT6e1slgOnVdQSXbsaq8vHzML8S3IkNaLEcxOhZ1cRIrLgzG9vvrBklZdegwhLRNZSmMq6XV0/o0Qz2+RoZptv1ZchpgrnzMdE0jBVYqFjFmQ9OWhVV4638nMvCM4CiKmipfpu1rNDt3ecL6BdXT1pZAZvk6OZMQghhphIaqJrt11dPeE2SxfM0uIrkh7rI6qRdWuFSR4GN960t11pKGehw0PfCj2rCgCATr0wSdRI1sgMHCaSmvDN2iLCROE89HyrtsQCz9RSfQcQVSKduwYhhBhLalwIIFjgNDBVos21C98LnFZe0uN9oWuWMaG62yiehwhLEYQwkdS4nhm8VUv27kcdS0g13rXTM6vzgjOPqpEuFrjN2sKpxzai9lqy9yYAIcJUNuRIagQT2bCKi0caa+efhIjIsb7x96mJnr1eqzzDAqfOfLdhV1dPUD3WoyV69slGaliNd++W9HgfAAIgIhtqvHuPVVp6tS3kBDhERKZatEdJdO8GQnCIiNSxOpQRpppVWTmOJTVBZC2JJS3p1PJnYNsh5K2/NAVngAvGArfOXKeOZTWmZnrvlpKZcUSoCsmlkryrEMkoXekhfUfgMrtV8tZbJXedM8EggjA9pO+Id6sDZtnLs5AHVtUv+Q4zk/3a6J2/NHKb4IAbKTlXmjOnolll1WkFtWhG6dGTUhZhiM2KX6yu2LM83Hyjzxlgds0vUxlrmMBL85SkET01oI3pSTlj1fxybcWec1vBpQiqGqXx3LbIboggMstegYU8aBbclcuJlxsh0asNRbNKT+gztzhjnmMh95N92ihViWaWvXyr7Bb0hJQavyd7u6yTaOBxJ96tDoQ+97JjkedLc+aU4G2XPsEFE2jz/gVAAN8KW5yJQFKwuvFXhBGO5uTeZL8+ygLu19ecxVbRXdtYNGGCSGbEGI9mld5GwVkRXPBW2cs7jeASYZAa3PcJTJWopES6wsBthp5Z5Dx0e3e/9/+ACFOnvn4WYfKvhBBCS3TvMdJDh41U/yFMlVh1+fRX1WjmNcF5wDkLfLu+emXLESYyVaNdnAWuGslsY+3nuxz6dpWHgbPx4kNEUiPpoQNGevA2Pdl3M+csqC6e/JJiJCcBRJgFbiNwr3YRwVQ2iKyngBBcNlKjbXLCKoe+W99KeehbAYQIqfGuXdHcaAZAiIisHQ+9tgBlvHfnI8n+vR/Tk703F2de+UtJi/UKxvzAM0vxnvGHqRrrtSpLr66e/f7vAwCm278HYc+uB/6F4MynqpHzzOpC4FllBWR2DOz/wH+EiMhmaeEHAIDffFOfIkJlIzFE1WgPRFjyrfqiZ1UXriTb1Gh2h6wnBjgPfc4C222WLrDQtyQ12iNpsb7ANYueWZnd6KPQdxpUiawqRnJYjWXHjVR/1TUrs5sRTBAiKKnRXi6YL2nxfgQRDTyrFHpWhYV+6504520FWEKynla6Q5c5k1+f++vQYw6EALKA+6HH3rFz11sGhAjJSgTpeiqoVOYgIZIyMnwX7e7a5S+vHLfPTn5THd/xUOzuu36DNVrrWNOOiDD0aDY7nnj4vZ82bjnwi6zZzDvnp59itl1ljea6deLUY9E7b//VtsHym8vkBGN+20ZciRkHb/5kWK8vd5yVZHAdAWMAAAhr9SXrxMkvxx968Helrq7dnudboK3pkxB++30dvfOOX1O3b3vAX1s/DYTgOJEYlLpyO4EQzJ2bfzlYL0wirS3ia09feCpy+OAvs0Zz7U1OUYwFSJL06D13/aa/tn7aW155HbDQZ5ZZwtFo17UyEQUXIv0LH6+CMPSknq497WMghAhhSK69GRZh6AMgBM1mdtBcdiIslS8gTUtBjGWI37xxCGv1laBQmhZB4LRefuUvcSI+QBKJftYyC8gPIjSdHlM/tP1B7rh1Hvg2TaVGRBC4zLar3HHrEGNJGRm+w704+xxouzwCAAAISqWL1pmz39D37P45d2HxFW9u/kXmOHW5r++AfuCmX+BB4NBc9q9EELpIohrS9bRx6Jb9SKIat50qs6wyQIiQdLqfJBPDwrvaTh5JVEOSpDPLLEu9PfvchcVXoCTpSFVjl9tE+6trp5zz008aBw98ijVbeeH7NgAQIl1LMdMsIlWNJx55+Pf1m/Z+LCiVL0KMJZJOjUpduZ3MtEruxZlngmJxuq3fU74ogsCJvee+f+uvrZ8VwTt3x/tpBJbV2Ibxi1ctnte6h26HPyXlbpRCaXAIjyXTKFuriYoRgRGwSTbjTyricZjs7sH9CAGUTOK0JEPJ98S7FiD7cQKEEBEsGUIwH0IiW2552tByezacsDbAOfM5Z16lMfs0QljGbZt0ACEkihTtC5jXQEjSIAQQQnQlwcNjRt/ZgLl112sscRH6gjNXliI9tcbC835gXiXY73j1xZD5LUPL7jLtwpmGufIqRlQnWIlKRM/W3eoRxgNLokZOiNADHdkKPzDzBMvRmNF/mFI1BQHEEb1r7/bBh/7o/Py3fw1sko3DfafRmF74slNcPeHVy7PMsW+YQAIxkeV0124ghPCqpWkpnhp9az2/Od7SBBQ268v11176s/S97/s9bERy3HMbkEoq99wWicR6iBHtAgCIoFadx4qaUAeG76DxxKCzsvQqs82SlM5NtM6d/goAgifvfM/vhM3actD4/9l77yi5rvvO84Z3X6xXOXRV54RGN9BoZIAEwahAigqkZEkWrWh7ZY93ZHs83vE52uPxeGbOaubMOq3X8spKliXbsi3Rks0gijkAIHJO3Y3O1dUVuuLL7917949qQCAIJgmUZInfcx5OH9RL9778u7/f51u7YdwJLCux8ODG+1qz5x4KHKtqlxaP0OvA7DhjTEnlKmq6e3vgmGWshlIAgCdeewucAwgRD6jnzs4fYI7TkLpym/3y6jRSlFjbrvKNf3hAAAANfMt3WiuMBp4cTnq+2ViCGItua3Wmkb/4GIQQOY3ieUZ922tV5yLdY++WI5kxooRznllf9M36EoQQOfXC2cbi2YcgQoJrVGfVRNcWxgLPt5oFRtuBNEFSZxj17Vjvpg/4Zn3JqCwepp7d0Ae2fdS3m4Vm/uL39ezQ7XIkvR4Azn2ruVyZOvgVLdW7S+8YvA1jUcWSEgMA/NNrtg1CzDlnEGERi0okcIwyJmLIqa+cjfWM3y9qZre1mj8OkSBCiLCoRjrd1uqlwLWqgd0qAs6CxuK5h9a4Qk0WtF9mfKdVpL7b5IwGcjgpCJIa9x2jhAQx5NSL56LdG94jIUEmajiHBSlUnT/5T5IW65UjqXWAt8F4RIt2U9euYlGOcEb9dkAKIggh5izwMJEjYijao2eH7gx8uyFHksPt4BeWICYKQoLktWHM3G2Up2LdG94rR9Ojcji9zq4tn2qtTD8T6514vyC3QZCMUY8FriFIagxAiAKrWUBE1gO7WWgVpp4EAACnWZ6kntPwzcZSuHPdO5RIZpTIoTSEAIEf0m2Gc0ad0tJxc+nSM2q2Z5dvNgqBY1a1zsFbkUAUJBAVXJVlAxGEmSF9w/g7s3cO7EreCTHEKxcbJ88/VfwuFtCxro3RbeP3ZH+RU0Bry9ZcOC13ukbQOPt44cHtH+j51fSgPmY3vGqrAlYGdibuKE63zmABiYO7kndGckovJlCsLljTB785/3mwZjNOJCzFutR+zjjv3Rq/pXNDBDhG0NRTUhaidnq6FhOT297f/UDftvhePSllilOtM62yu5LsC32zMmdMSqqgbftA9yfiPdqgWXVLVs1fTQ+Gxk48lP8GAODg6+2v0Tsy7x28Kfm2lcnWqWZpruAafn3jO3MfjHUqfbOHV58BAPxdaiA0NnJr+t70sL5x+VzzGAuYH+lQujtG9E37vjb7JwCAyWhO6d34juwHZV2IQgRPQAhgpEPpRhgKmSF9w/jduQjEEAsSVqSQEIYAQEyQMLg7ccf62zPv7hqP7qrMmZOtkrM8d6z6vCDi7wce9fq2x29df0fmvdRjbi1vzyV61KHqonWJyPirvkPt9jHnzKoXzohqpJt6Tt01a/OYKFHHqEz7dnM5lOy9CQAAsSCqid4tvxhK9OwEEOLANSupgZ2fVMLpEc9uLktavF/Wk3/ltCpXHEoEUY2mBnZ8mDHqYkEMRXOj91q1/HGIiSKIStSs5o9hQfwyDTxLlEOZ1MCOX5b11DDnLAg8q9Yxsve36oUL32uzvcQQkbQ/v5xNBAAAkhrtTA/d9IuuUbkUSvbuUsKZMbuxchYRSUeYqM2VqScAAH//w1wL1xNEmCR7N3+Ec86USMeG0vSB/w8A8BgAABBZ72gUJ58UFT2bGtj5y8bqwkEoY1FLdu+EACKjMn9AT/XtyY7d8Z8wkX6T+q7JOee5sTt8q75yRol2jPuOUfRdoywQOWzVC6dp4JlqJDN2ZfsQQlGL9WTW3XxfrGvD+4gSztmNlbOe1Vh0zfqSGss+ZjeK5zhjFCKMOzfc9YsAQhi4ZkVPD9zqmfVFzgLXsxp5SU8MuEZtrji17/MAAIqJFAqnB2/r2fLuD4WSvbsD16yYtaVj1LPrsa4Nh5rF6aeo75oAAICwIEY7R9+hhFPrHaM6mx7c9Stua/USpa4pSKFU4BglORT/gtMuGX1T5FuB0Vw25wZv73zf1o+P/EfmM881/AaRBfXYNy7+KfjxA2A5Z9QPVldnaKORJ5n0+qDRyLtz8/uZ65rapvH7sR7K4LDekfiF+/9fL798gge+I3Z0bBBSyWFmtQG23nLhlFdYORPUG8skEe8j6dR6++Lk4zygLx3cYoySdGpEHRu9l1lWVd208T7zxKlvQ0kKQUF41YwAzhjDmvqP8mD/LUIiMUDSqWGAoMD9wHUXl46KHZkx2mguI01NCPF4Pw98275w8XvmkaNfZ37gYlWJid2dWwHGhCAksI70qJjNbmztO/AFav7gJZXTwOOUev5S6UJz34EviJ25CU4EiVp2DWlaaq1062XufgAAAILAo4ZZcWbm9ssD/XuYYZZ5ELgvKbV6ebto5lc/hcVcdtzNL5/E4XDOuTTzHNb1zLXMGB4EnjKy7mDk9lv/g9iR2eCtFM8iWY7Iw0N30Gaz4MzMvoBCoZS7uHQMqUqUu57hzMzup81WgbZaRSiKKnOcBsRIuDpQxRnniJCHsKalQju3fzwoV6bdpfwxzljgTM88J3V2TpD3vOtzfrkyjRQl4i3ljwfV+gLEWEQhPc0cpwGJIAt6KCN1dm52Zmaev7adUBRVpChRsTO3mfuBIyTiA1J31zbaaC5ffga2+58GYib9RamneyeOhHMAAggQJrTezAPGAhyJdEKMRaSqcZJOjdCWUTKPnfim4boG8zxTSMT7xe6u7VAQRCERHwCM+TisZ63HHv9vrxdV8JauEueMM+r7rfoiltW4nMyOc8Ap4K9sLPKzJIwBVjWol4us0GywmqrC6/LIflalqFAFAICVAl2ilFMiQBG8Dpeln1FBkYTSshTraxiLBxyvsaQpqfWUvtQBUiRaOqRmNvmBWSaCmiJYjkIIoUhCGGNJ54Czllu9JGA5em2ABwAAXN9Y4Yx6nFOvaeQPYiSojAWu5VQuXm9wgbHAxZh8XVezm2Up0uv7ZgWSEGbQJ9Vm4SnDKp2OhLp2xyMDd5VrF/+1XZoFgOdbq2Et92BHYuOHNTUzHlCnbtrlCwgKMoTtgWeIsQARJpcDvB2336ciSYkQLZyltrXKvZkykAAAIABJREFUefu9DQB+GdCDAIQIIISxKIUFLdyhdQ2MYFlLBJZRYr5nva4EitehNxTgadt+4X3VA8/8ceLWd/xnKBBFjCeHV1948nNq39AdOKR3+JXSRWtx9gWIkKANrb+b2nY9MJor9tL8i0ggipTKjEmpjg2ICErj+Itfoo59w1w8Asso2uX8cTGSGFCyfbudcv4kRCh/vdIWJEq6GE0Oekv1xddjF8g93/LLlUll3fDbou+467M8CFwoihqSJV3s6tpKW0YxqNbmLp8Yb0gQYSzK0bUSBuAatYV2xky0R413bpZC8V7fNSu+3VzWUr3valu4QRhK9e5mLHCLZ5/9o7X5u7VU725JTwz4jlm2aoVT7aJGOYwEciVDgNPAsVbzxwVRjdPAM1qFqSd9q7nsNMuTRA6lk+t2/TLzXQMTOSJHMmOYKBFRj/czz2lKWrSHpHp2g6ULjxA13EEUPQM454BztgYDdjijPgs8S5BDmiBpcSwQLVhLpUZECgGwBq9ivssB4IFrVqzq8slQpm9Pemzvb3pWI2+W5w5wRn05nByKdI2+yzNrC1Y1f5z6bhNiIgsiiF6uSwcQIQDaiGUIAWCcU8AZZTRwPKM6J4WTQ/G+iQ9yxgIIEZbDyUGnUTzfWDr/SOCY5XDnyN0QYsFtVaY5oz4mss4C36ovnvluhI3eI+nx/ljvpvcHjrnaWLrwqN0onpf05CAHACAihgDnHECEA9eqccYCp1mewqIaT63f8xvMd1uCpCWUaGaDVSucDhyzEsr036I0y1NGae6ApCf65UhmlLSzkMq+Y5T0zMCtSCAqhAiria6tAHBu1wqn3/B5dfn0ghBpXYO3kXC8j3lOAwDOBS2cE1Q9DTEW147JlRd4NSomt72/+1cxgWR1wZyGCKBwSs4N7EzcWS/YCx0j4YlW2S2YVa/EKA8QcrESITHGQFCeMc5jEUlaTEw5raBuVr1yq+wW9KScnT2y+iwHgPdvj98uaUTv2RLbAwA4LypYGbk9fS9ngKX6Q+ujOaWXKFjzrKBFfeZDCBCRsTK4O7lbCgl6ecY43yw5y+G0nDOqXmn0zsx7RVX4Sy0upsNpOVe82DzlOdTCBIlm3atocfFl6fCv2l8Y4nrBXjCrXjlwqcU54IFP3fYtuX1TRwISXIsanHKqhEnMrLolu+nVBBHJA7sSdwAAJjkDDAmQcA44xlBIDYRGc2ORbYzyoHsitlvScNizqSlpQqgya1wAAIBkf2gkNRAatepedfZI9bloVu4WZCx3bYruapWdZSLjczs/3DtRz9tzdsOvMs5Zs+TkRU0IXd43AACgnl1TY50TTqsyCQBEib4tH6GeXTNr+eNECWd9u7ncvmY5CzyralQXjxBRSwiSmuSMBlq8axtqljQlnBmN5tbfgxD+AmPUR1gg8Z7N7xbVWA+RtTQmcsizG3lBDqU5pS7CRIl1bbyvunjqWwAAi3MW+K5R8l2zImnx3jbkHQmhRM9O32kVtXjXNqM8tx9C+DjnnGNBUjPrbn4ACaIW75n4BQAA8J1WcW39niCqsVjXxvdBiP7heumxP6wgxMR3mwXfbiwLknoFsowwUaLZkXcGnl1HgqQJkpqgvtvybaPoGJVLkhbrMVcXD8t6ckhPDdwKAHgUAACo7zS0eOdWc3XpMCaSnhrY8UnXWJ1h1LeJrKfXnAUBhBCq0ex4sn/bxwLXqjqt1RkW+JaoRHJtGL5rJPu2fWytPw8BzjlEmCiRzKhVXzlzmS1Gfc9wjOoshAgHrrkKOOCCqETSg7s+SWS9w7MaS06zfBETUVejuQm7UTwXSnTvFJVwFgviN2jgWUqkY2MkM3wX54xq7eOzAjGWMFIIhAjrmcHbm6WZZ8EbtDB+o2KUU8Y4kzQSoT5zlKiUIpoQEjWigx93gIcxyiy7RpKJQW3LxAe95ZUz7qXZ50kmvV7p7d6FVC1ee+R7v88931I2jL1bG9/wPqTIEW+5cKp18PBXveXCacA5Q5qaCG3b8oCQSq0j6dQI9zzTvjD5/Ze5HSGE7alLTzmTU09q27f+kn3+4mO01VpBkqhDQXjNUlVm2fXG08/9Sfy+9/zfYi47YRw59g2kKjGxs3MLbbVWmOM0oWFWvELhNG00l4NqbY5ZVj20Y9tH5cGBvUG9vuStFM+78wvP43i815mafto8feY7V3/4c8p8ADgXuzq3hG+95d9z33e471skkRgElAWoDVq+boAHiqLGWXNZWTd0pzwwcAsO61mkKjEkK5FXaxcPfMe+OPk4YJyhkJYU4rFeIR7rvR7nxJ2ZfcHOZjYoo+vv8fLLJ73lwun6o4/9gV+uTMtDg7cxy6pKfT27AGVBUK3OQggh4IyG9+75DXdx6agQj/d7i0tH17Kxr3wsMN93kCR+DWCESSzWF6xWZ+V4rA9rWsJdWDxCW60ikuWwdWn2OS+fP9EO8qXWufMLhzilPta0FI7He5GupdBVtvNX+oYQFYpEdfP54wBjwlpG0Tp3/mG5v28PQC8tz/Mrq1ONJ5/5n9G73/4HEGPRPHX6QZJIDkJRVGmztcJ93wYIYW8pf4JZ1mpQWZ0BEAD9lj2/QdKpkWB1dcZbLpz28ssnpO6ubcahI19z5xevC4p+S68ut16e9GrlSTXbdxPzXTMwmwV7Zf7FwDZ+LtzIEAJYUZBWrbCiZXJDkuBPZUn9myVCoEQIJJbJDcoAxa9Qkv/zIMoC27CKZ6J67y262rE5pGTGHbc2b3v1K4kcnLPAcevz9dbCCz616x2IKF5wuTSUM9dr5hEmqirFhxyvscAZfVmFj++b5Wpz5inXM1Ycr7EAIRIgEiTTWZ18xX2jvg0AOEAE5Xw41LkTY0kHAHBFig+ocnKEAxbkS0e/WG3OPnP1d3zLKpxwvMaiLEV7NTk5ElLT4wAAwFjgQIxJYuttvxXqHroDCoKMZTWORVnHkhxVMt07nPLySSmRHiF6rAdwzrAkhbGsxYVQOIdEWSeq3gEFonDOAiQIirU8t1/N9uwOrJdnIf0wesMphJxRChF6JGjWF8Obtn1U7Ru+MzQ8di/WQmk5nd3EbKtqzU0/4xaXT8ldvbs5Y77S3XcTiUS7oUBkKZPbRG1ztXbouf/HWVm+oVa0nAZeY/LkP8XHb/o09z0rseXW30REUrGsPE0du4ElWceymiChSGdi862foba5CjhnRI/1AACOv9q6mWVVG99/6nPu3MJBKAgyc90ms+was606s+was6xaUK8vvFGAHwAAYFEOC6IaFaRQam3UKEACeVTUYr2SnuiHAKDANcvUcxrUd1t6ZmBvKDOw16mvnKtMH/qqtbp0FHAAxFCsV9ITA4Bz5tmtAqeBg4mkYyKHiRLugBAh3nbpclor08+E0n27rdXlE3Z95SxnjBI1/C0t2b0TAACoa9eIGs4hTBTOaYCJFI52jb0HCUSpTB78UmN58vFoz4b3RXLr38kCz/LM+gImUjjw7Br17JrTrFxym+XJRv7C95xGeTLw7JpZWTzs262i7xhlTORQbf7MPweuuUp9p9lcvvj9wDHKkh7vCxyj5FvNgm8bJVuP9xFJS7YZQpVJhAUJEzkMRSW2ZvNbY77bMlcXj1DXqnpWcxkCiBr5C49S32k6zcq0Gs9NIEzUwDUrl8uekCCqzeWpxwGEyDNr85KeHPKt5jISiNpcnnzcbVVn7frKOSkUm1Ni2U0AAOCZ9YXAMcq+bZQQFiSzPP+i0yxPUt9p+lZ9qTp38h8Dp1XybaOkJbq2WassoL7bEtVIF4AIcRo4zcLUU77dWvGtRt6ur5wRm+UeSU8MQITFwLVr1DVXaeAaaqJzSygzeKtvNZYrUwe/ZJTmX/xhrgkAAGgzqjg1FqeeEBQtHVhGkflOS+scvE3N9e9BpA3LvKxQQkzrKamjXrAX5o/VXginpc7ROzLvxSKSlDCJSiEcTg2ERkXV1vb/zeyfOkbQUKMk4bSCxulHl/8h0iH3iDJWi1OtMyceyn+D+szHAjod6ZC7cmORbXbTr2ERi4ADjgUkRHNKDnAAqM9cKSSEK3PGRVknUaPirnDeDh8m+0Ijux/o+wwWkXj8O0tfO/lw/m8HdyXv2vWLvf/OavjVzrHItlbFLehpOaclpMzRBxe+PHek+jyRsEwUrL5S11y3uyCAEEEUeNRhlDNGObVqXqW2ZM9SyoPL8xgVd4VRHswcqjx16UDliS33dX0y0a0NRrNKL5GxkujRhMBjLsLtQGRqUB8rzxoXusajO5yWXzdrbrlZdPJaTEw6RtAkCta23tf1ya6N0Z2lS62zT31+6g854+wdvzXyf2lxLdW3PXFbLW/PKTqJhjvkrsqccfHg383/hedQS42KCd+hV0ZJqounvi3ryeGere/9Y7OycNBpli4QWe8wyrP7KPUt6tk11i4L9NzW6iXAOa3On/im3SpPEUlLdE+8638QSc/YjeJ5KZQYwKISBQCUMVFikY7ht0OEsG83C75jFBn1bSSICgs8GxMpjLAgY0EOAwAK1Hdbnllf4JwF5ZnDX/Gs+pISzox2T9z93wPXqprV/HEt3rWtUZx+CgAQSKFYn57q2+M7ZtmzGnnOAredXYcFADgXJC2BBCm0Bge/QUwWzgPPrkGEBYiJjBCRX/qbVYMIEwABFCQtadXyxwGASIlkRiGEyDVr84KsJcPpgb0Qosc4Z6w8c+SvtXjXts6Nb/t9c3XxsNMsXwQAwGbx0jMAAO677ZJQTORIamDHp9RoblOjOP00gBA5rcq0XzFfDCV7dgqylmS+29KTfTcjLBznnPld4+9wIUQCFogqhxIDrllbcJqlC66xekkJp0ZcszrLOWPx7vE74j2bfsFYXTwMOKOBZ1XN6uJRKRTvw0TWOaOerIsqUfQOAMBMpGP4LklPDjut8pTTqkyxwLcQFhQauC1Ji/VBAKEgKrHLz5Eb0/cvFfWZH85pjzh1t+I71KYec0RV0AUZy+6P20ELANBGQgY+1vWMt1I851cq02JndpOQTA5zygLz+Ml/cpeWjgvRaKdfWDnTrFbnmOcZPAg8rOsZMZcdl3q7dwrRWM/lTB6s65nW/gNfcJfyJ67eEkQIpT7+SyqtN5aZ6xrG4aPfIJn0qNzXu5sH1EWiqL0WiH3tt2Mklfy0NjH+fmVk+G2AceYVi+cgxiJJp9ZhPZSWerq2OTOz+6yz583Qjm0fJ+nUutaLh75inTn7L1jXO5TR9XcDzljjmef/lLaugY7D9ggkNc3V1oGDX4YICTisd4jZjnEoihok5LofeBBjkvrYAwrEgujX265PfLlwWhns33s9Js3V/ZL+5U/IYq5jo3Xm/MPeufOPyEODtzLHaV4b+ACgzcyBgvCX3mL+mNTXexPJpNcHq9VZwFjAGQugKGq01ljkQeC6+eUTztT002K2YzxoNJa1ifEPMMuu+avXz1JjrmchUfyytm3LA0IknLPOnn+onV0DAdZDGfPkqW8jWQ4jUdSoZVUbTz3zv5Ak6e2snuXjYnf3Nu56Btb1zLXHEhKiIEkKYVWN+8XSBeY4LZJKDrXLs15a+s8ppRDCh6nRKikbNrxHHR+/n1lW1V1YPILbmTvrkKYlpd6eXdbZcw/xIHBDO7d/AjBOG08+/T/d2bn9Qjo1oq4bfltQbyy1Dh76CnPd62ddvaVXlVsrTwMAPvOT3o+fpPyAe6bJDEkGChbe+HflT0IQQRgKwbCiQtU0eKuvX1gXj8NkvcGrM1PBBdNkr5tVZzvM9jzuqirUEAKvUJL/s68gcJoI4f+KoKAwHjhX8wyvzENdA0L4OQAgWguk/OtVP5cAAB95re1Q5jsAgC+GtexmXe2YMOzSmULpxNcuO2e9mvzArgMAvr82vabW7tGVteklvGBEREXrGryNUd+xF6eeDg2M3es1qrOc+g7zfSsyvOn9jAVeIt6xgeiRLis/8zwSRBVAAM387D5AaYCIqLnV0gXqOU0AOA/MVsFv1a/rgvhG9UNdiGsZMScRESdJ7PDXtMH17wyt3/g+6jh1MdWxIXP3/X8GESZIksNSumND0Kzn/drqjDF1/hF3JX+CWkaJvUm1vizwTHNx6imIESHheJ+S6doeHdnyQO+7PwFyt7/fIqFIl280lnyjkaeuVSehSJdbK114rfVebvPadEO1On34r6v4hEJdq3r5gc8C3wFtpsPFq+dFAvm+Xc2fWL105Ovtj6fawlXA0vNr0xWJauTbjfzF7zHfNS6/lHPOOYTo1OKh7/4O9ezG5eV9q1kEL73YAABtSKpdK5xuLJ57CECEPKM6z2hg29XCKR4ENucsYIFnETWc44wFCGGRU9/2jNp86cK+v7yyHggnr3qhudZZyAMAPHXNppfXph+0HxNp+cRjfwAAgIFrVgAAwLMaBQjh56958X3kqr9Xrm3TNbKvmecKgd01aosAgMXrLHMQQnjoqm1eWpsu69Uu0Jmr/r52OYCw8JRdWzlTnT3xTRb4tmdU5693o3wj8hrVWcAZlRMdY1awaBEtnPWNxhJo18ZeeXmECML1t6cHe7fG91pPFb/TMRKeUCMkbjX8qmdRgzPA5o5Un4t3a4OxnNp3yycHfrdwoXl86Uz9sN3wa4HPPCkk6IxyikUkIQQRwhB1boxuH7sz8z5BwjKAAHqG31JjYlJUcSiUkDJIgEJuOLK9NN06e/G50sO50ciWtSweg/rM61inj7dKTj6UlDpKl1pnqc/89KA+79nUBIDzjvXhieUHF48un20cy46GN0/c2/nAzR/t35JZpx8ozxjnX6VrXibqc88ouyuccUZkrPgONX2X2b5LbQjaWRf9OxOcyFgJPOYyyqlRcVdaJTcf71IHAo+5kiaEOOPUbnirWJCIFhdTCAOcHtLHtJiYOvSP818gElZyo5Gtqwv1aafp1+Ld6gDCUHCafq26aM04Lb/uO9R5539YX1Y4SGSG9Y0QAjh7ePXZ8XtyH04P6GO3fGrgd5fPNY7lzzaOXp0SzmjgKeGUxwLX8OxGXo13bWWBZ3p2M38184bRwEWYPAQhwoiIISJqCQiR4Bqr06IW77ebxXNqNLsJE1kHAJTbRxMTzqhHA8/AWNQqc8f+1mlVpiAAQJDUhBrNbfLtZqHdl06zPHP4rwGECAuSTuRQmlHf9qzGEoAQtUozT+vpwVvXsvECiASJAwA4pz4LfAsAzotTL34h8MxVCBEmsp6R9dQ6dk3K748qLMpRzpgXuGaF0R88mzjnzG4Uz4lqpBOA9HqnUbqwfPapzwEIccfIrb+NBaJgUY0jRBQpFOvHohwBANQY9d1QosejgdvynGZBzwzeZjdWznp2c/lqm3RZTw5iIkc8p1kIJXt2NpYvfK9ZuvQM54wKohIlip41KgsHBSKHiRRKAwDyjHo2o77VWJl6olVZOKjFchN2s3TBbpYuumZ1zrObBSzK4dzYnTus+soZJZwacYzqbHFq318ErlXTU/03x7rG3uvZzQILXENSYz0AgBkkiCpngccCz4AIi1Ytf7xRnHqKU+piIoXVaHbcs5rLb1Zw57Kay+aC3qGyzs2pW9Qeachp+rW5fYVH7Yb7mpm2N1wcAMABb2epBI62afz9QjIxKMSiXUhR4sxxGtqm8V795t1bg3p9wV1YPCpmOzYgTQvjsJ4FEELrzLl/ZZZdI5n0qDzQf0vrxYNfsk6f/e61m0KKHEGSqPnF4jnmOE1tbP09YjY7bp08/SBS1QRSlOjrden0y5VpiPEfGYeO/g2ORbvVsdF3KSPr3o5UNcFMs9x8bt9fMM8ztY0b3kMtu2qdOvMd7vtO5I7bfodzDuwLk4+5MzMvUOvlTmtCJJzFmpYEGBN95/ZPQEGQkB5KYV3PcN+3Ib4+TwdiLEABSySTHoWCIHkrK2e565nKYN8tOBp5RWcSKLadHs2Tpx905xYOqps23kcbjWW/VLqwVlL9sqDXWmbUC1AQDkldnZu1bVse0DZv+gBASOBB4Dpz8y/ikJbEoVBG2zzxQXmgb4+QSAx4xeL51vP7P+8uLB55JVMD5nk2EsW/Ix2ZMTHbsTFYrc5R0yx7y8unhES8X+rq2maeOPmPtLJ6CWJMwvfe/d/FztwEpywAjAVBtTYPiSBfW8qGRFGFkhQWw3pWSCQGvcWlo8zzTIAgvp6H2lqbD0FBOIH1UEZIJAa0LRMflAcHbkWKEvGKxfOtFw99BYmiqm7c8F5/eeV0UK8vIVWJR95+12eZbdets+cfchcWjzDvzbHpfUs/exJFKAIIgCxDNRJFsZCOQG2VlZstVo/FUBJdxRxUFKT09uN173yX/IHefmF4aYHO7H/BfeLief9Uo86rjHGuqEjdMC5sXS2z0vAI2SAIQNi9R7oLIYCefcp9ZP/z7hOux51YDCUIgRJjnGIMsedxt7rKKpTyK/dDIkIyPkF2jm0kWzACeGSUbKpVWWXyYnB6//PuE+USXQEAAIwh/sCHlE/c827lQwAAUK+zarFAlzq7cF8ihdLlElvZsUv6i6OHvX1XA6MRglAUgcQ4YJEIihMCxK5uQVqco9MCgUTXQeTytTowJIxs2SbeLIpQGlkvjAcBCGZng8kjB73nJi8GZzi7cRzBnyaxNlT4VQff1u5dPzLPr2kWTgAATrzmjG+WOGd2Ye4AZ4xiWYsHrcYS9V1DTmY3mYvTT7v18rTfqs0HllURI7F+p7x8AhFJV3O9uzmlntdYvSRGk8N2OX9CiiaHOOeM6NHu2tnDX7sRu/cjRVqZ79kAgDMQ4fONEwe/IibS60g03odkJQYxFo2pcw9Tyyjb8zPPB5ZRBowFNxKOea2oa9cwEUPUsxta1+BtXn11xm/VF9xaeVIMx/ta8xceU7N9u4kW6Qys5goAEAKEsFsrXXzttb95WgsivC6tBX4W1qbXlGc1lq/3/5wzDgAovJ51rAWAyuAae2UI0YtmZWGNCwOv/HN5qWtfkG7EsV/jCL2MSP5mnlevpDdrm2tQ1SXw6kGi1yXOGeOUeiQc6wWM0dbsuYdJON6nZnt2IVGJQExkflXwCEIAAQe8dMk4mxuLbDv5UP5vi5PN044RNDjltFl08qsLdBoJSOgaj+6MZOTu3q3xvb3b4nuPPbj41eqSdQkTJEIEkChjFWIoRBJKx/YPdP9KPW/PT+0rP6aExdjw3tQ9WEQi9ZmHRSRlR8ITgoyV85PNU1bdq3aPR5upgdCYawbNwsXmSc44rRfsBd+hlqgKIQAA8B1qVRfNGSUqJqjHPNcKTC0ufd1u+bVQXMokerXhZH9ofeF845ikCd90zeB1jcjYTa+mp6RsLKf2qRExbqy6pYl3dSLXpC2iYE2QkMQZZ5SywG76NWltf+ymX7fqfiUUF1OYIAkAAMIZuYsF3IcYCVpcSqf6tZH547X9xqpXhACA0Tsz78MiEotG0GQB910jaBanW2cgBBBhKEAI4Y4P9swhARGiYJUzwOaOVp/jAPCOkfBELKf0Du5O3tWzJbbn6INLXwZXXRt8DeAtSFrCaZWnJC3Wc716ZogwiXdtvE9P9e1hjLquWVtQY51bXbM6ywLfxkTWL5ePBp5VM1cXDoczQ7djktXlUGLIc1rFRuHCo06rMu3ZrSKE8Ikr7ArOOZFDWrJv6wNqLDfh260iDZymFEoMtipz+xkNHEFU4nBtJN41qnNua3Va1GK9khrrxZISc4zVGaM8t8+1aguuWVuEEC7d2GuvXYrBOQ0UPT1mVK7OluOcUd8GEAmc+jbEmECEpcCz60ok86300O5fs+qFU5hIOgAACqQd4Lm8JMZExUQO283SBYSIfKWsdE3hjuG7lEjHWL1w4XsAQIhFJZbs3/6JNuY93i+HUsNqNLfJrC4eaZZmngMA5GngW9R3mqFE906ihLNE1jOFC8/+8dXQ5FCyd1Mo0bPLs+qLrdLs8xBhKZobvVcQ1TjCRCaynskM3/RrdmPl3FoK9DOt0szzoUTPLimUGFTCqXWYyOHAtxtWrXAq8OwGAOCFG9fnLxUmSCCqoHtG0FRiUmriw8O/ll4f3WqU7CWn4a42l805QcKtHzdomXPOuO9ZUJYjYkdmjLZaK/LQwG1iLrsJyUpU2zLxIe75lru4dJQ7rsEsu8qDwNW2b/soJIIclCtTUmfnZiER7/cKhTPNZ5//M2du/sD1WCdIUWJIVqJiZ24CCkRxpmeea+1/8a+YYVbkdcN3QVkOg/b587pejDmlFLQHLlYgxsfNY8f/Qdkw+i65r+8mdePYe4REvB+raoxT6vuV1WlnZnafde7Co87s7D7uuE3O2HWvMdpsFc1jJ75Jsh0bcTTSiVU1gUJaEqlqzF8unLoWHH1lf4LAs89deFTs6tyMFDmqDA/dSdLp9SSVGPIKxbMQY+H6DBjOnelLzwqRSC689+bfEBKJQSQSBRJRbVUOfeVV+yAIPAjhYTe/fJLEY32kIzOGdT1DkvEBJMsRgBBqB3wWDnr7X/yiO794iDsvdcS7npjn2RDCY8FqdU7q690t6nraKxbPAw6AeeLUtzjjFImixhnzWwcPfzW0fesvYU1L8SBwOGWBVyic4tcEVahhlIzDR78O1p7BAAIIMSbu3PwB7nqv+OxqQ6jBIgBgEQrCAamrc4uyYfReKZeb0Hds+7gQj/ciWQ4z37P8wspZ59LMc8bho1/3FpeOcd+3fxLvTm/p36Z6+oTBjZtIJhJD8W3bxT3ZHO4prtB8ZzfuiydQGmGAEWqXKGkhFHrnvfL9A4N4dGgdGZMkILNO3HPPu+UPbZogOx/5V+cfAABznHH2rncrHzYM3rzjbdJ7Vgp0aX6WTnkedx/4hPq/9/bhocWFYGZ0g7hFFIEUUBDE4yjl2Nx69mnnEbDGywMAgEgExT7yUfXXAYAg04E6IQRw/RiZ6OnDQ5IEFFGEX/M87gkECJIE5alJ/+zO3dJt9RpbJSIUKxW2cuF8cHJkvTD+0U+pnylcggd0AAAgAElEQVSu0DxYG5DFAsTrx4RxRYFaVw/u37FLuhUAAD2Pu6EQCrsedyolurKWAQ5/+//QP97RgTo7srjb97nX3SMMpNIo2z8gjPzFn7b+ELyCXfZb+jclyDnnxsLkE9k77v8ze3nuABQEOTBbBTnZsaE5dfpBOZUdp7ZRNpvVeQAhZIHv+M36AhZlHWIserXyRebYdRKO9SIiqU65cNop529I0OqGpNKtOWvUQBtk+rphpjdanDFGtPDB+PjuTweWUbKLi4c55zQwmyuXIbpOpXAGESmEJTXGAs9szZ5/hLrODeMA/TxpLUj0U2N3/JZeLs4YTW697dvRka0PxDbu+hXqOk1OA9e3jCJdLZ5z6+WpwPyBBS6jnCX7QhcXTtT2IwwFDjgvXGiecIygEc3KPRABpEbFRG3Jmm2VnOXxu3Mf1uJiKnCp07stfkt5xjgHAACeTY1QUsqIKtbCGbkzkpG7wmm5szDZPKmnpRyEAHIOuJaQ0rUla6YyZ07qaTmnxaU0kbGcXR/GTsuvERlr1GPu8vnm8aE9qbslVdBu+qW+z9z8sf7xrfd1xSGCaOF47QXPCgwiY1mJEHHq+dKjqUF9LJrL9lh1r5Lo09ZFs0ovAODs6+mzxoqzqMXEVCgpd2TW6eOCiGb6tydWjapbjnWpfaKCNQghFAgSGeUBaD/QsWsGLbvhVUmH0k0kJAsyVmWdRCGE0Ki4xVremuWUUzkkhEUFa5wD7lq0BSFAjHJaXTCnA4+5mWF9oxoVk6IqhMyaV072aSMLJ2r75RCJcM65EiHx8qXWuXremtv83q6PiQpWOQW0d3NsD7g2+MlY0LZAJ3K7TvmlzApBlMOpgR2f0OJd26jvNAVRiWEi6Z7dyFPfNZRIZhSLSuzyRxsLfEdUI98EEEIsiBrgjGaGb/r1ePfG+x2jOpMa3PmUqMWehgjnOaOBqEay2fW3/SYWlSjgnAuSGiNqpNNplSchgFCLdW6FEAk/cHyyakok86V49/j7EcKSlujZ2TX+zv/iWbUFu1mejPdselyQQ89DiMpr958boHYsCrWZNy1Gg5cGESASsCBqvmOUEBZkiNuwW9eszWNMFCWSGWO0XUoG0UthsZwxHwtSCAKIEBbka62uBVFN1JfPPSyH0+ut2vLxZnH6aaKEc1iQdCxIeiCqCSKFUggJ0uUgG2fUM6v541gQNSRIocCzqtc6YomKnrVqyycQFmQpFB9YnT/+95yxQAolBoisZ4ii5wQplIFIEJHQdrAwKvMvrs4d/3tJi/WywDX0dP/edpCotpDbcOeBxvKFR+1mefLqDKcbpVhfeP3G+wd+9dLT+e8SRVD1jNJVOL36YvVS82zHpsTu+EB4tHyxdgIA8ON1+eGcM8+3AAQAyXJEHd94n9iZneCeb0GMBKm7a5tXWDkLiSCTbGZM2zLxQamnewfS1AQPAleIRbvd2bn99cce/2/O9MxzQbP5itmkzLKrfql0QerrvQkKRCGp5JDc33czFARZiOhZ7rqtNdfLN96MduDkAkRo0lCOfE2IRjqRpiagQOTLLqB+uTL9ejI5gmZzBSL0P9YYhGEky2EkSzqUZJ3ZdiOoN647MLE2UPRFiBBqW3fLERzWszikJalhVQB7BUdFxzUgxn+OFDmKNS2JFCUGCVGgIIhBrTb/WgGKtd9dcJ2M6B9Fa+tdBQA8/BqznoEI/Z8AIQwofcVBzjVb9t/7kfapHew5CDE+gkNaGkciOaQoUShgCVDq+dXafFCtzb2M/fSW3tJrqLML99zxdvmeaBQltBDU+weEdXOzwVR3rzBYKdECY4ByADhCACEE4Z694s33vlf+yOyl4EKlTFdsG1iDQ3jUdaCjajC0br0wLopwWZSgSEQg2TY3HYfb5RJbuTQdnO/uwQNTF4MzA0PC6N7bpbuPHPJeqNV4RddRZLXCiq7Lnd03S3eMjJLli+f90wAAwBhnQQB8WQGqafIWQgDX67RaLrHCjt3SrU9+3/0uaJcBQV2HkVAIhQ2DNRNJlC6X6YqqotDIqLDJNHhLC0F99x7xTgDADEIQbtpMduy8SbwNAACG1wkbsQCFWpVV0mmcXVmhSxgDAQAIIISQM8Y/8zu6DxFArssd1+VOYZkulkus0NWD+weHhFHwJg6YvKUflzhDAlESW27594KiJdWugVuxrMYCo5EXtHCufv7Y30GERaJHu5EkRxEWREELdwRWq6QkOzZQx64jQlQ5ndsMAELW8uy+6sn9X6COfUMg5f8maiXfiHyzWRQjiW9ER7Z+RMl07zDzl56VYumRwDSKEGGipHITEGPRqRbPG/MXHgts860o6lv6mVb19IEv1C8c+1sIYZudwTjlnAWcMQoY9a+1YbZqXnnlYvNUOCN3ZUfCE7nRyNa5o9XniIQV1wxa2+7v/lQ4I3dVZs2LSlRMUJ/5WlxKry6Y04HP/L2fGrykp6SsnpJyG9+e/eDCidq+wGNOo+jkt7+/+1dci7aIhBRBwvLwntTdMwdXn6wuWZeUKImvuyX1TkkTdDUqJqlHHVEVQozyoLpkzRx9cPFLudHw1uxoZGt6UN8wf7y6r1ly8sznXnXJms0M6+O3fXros8XJ1mnOOHOtwJA0Qeec88Bjr5tKvzLZOrXultQ9AACQXR/ebKy6pUSfts5tBQ1FJzFMkIgEKHAOeOBSm/rMA20cJ3daQSOUZFlBxgoWIGEB9z0nsCACaOVi85Sik1huLLJ1/e2Z9/gOtTCGAomQGACceza1Er3aPzRWYovZkfBEqj+03m5Uq1P7yo+5raBeNo1zWEDktk8PfZZIWKktWTOSJujUZ74SJQn3fHDs6nZAiDAWlZisJ4ep7zQRJjJCL3XiiebG3h3Nrb+nVZp5DiJBshorZ3jg20gQQ6Fk727OqIeJHGHsB+eIZzUKRA59XYt3blkDAbewqMaxIOmZ4Zv+XbJ/28dWzj/7xwiTJ7Prb/2kHE6ts6r544xRj1HP8qxGXot1biaK3oGwqAEAGOA/SLN2muXJytzRb6ixzi2YyGHfbhUESU0QWc90bnz777utylT+7JOfgxAev0Gjz5z6ThNCTFjgtjgLfgD144B7dn0eC6KihDNjSCAqbu8zAIwGVn3ltBJJj3EaOIKspRD+QYAHIiRgSYnJenJd4FlVRCQdIvySZy7CgiQQJapGcxOcUZczGgS+04AQCVa9cLpZuvQMaLtpO65RnW3vE6MQE4UoekereOkZUYv1XdsgiDBBmKhaomsb9d2WnhrY69nNAucsYMx3aktn/pkFvg0gAGt8IEADz8KC+KAay23S4t3b2zEpMQQxUSId696e7N3yQHnmyFcFIn8l8G/soIjb8uoQAZTbnLjZqrolPav17vvzU5/1bWqqCTmTHIxsvCQLCgDgxzsYwznjvm8J4XBWHhq4FclS2J2dP+BcmnlO2TB6b+vAwS8yy65JfT27hGi0hzlOyzpz9l9oo7nslUoX/MLK2aDZWuGua/BXCGBcFrWsOlbV/yQk4v1iR2YMEvGKMYJ1/sKjzuTUkz+qy9FaVu0q+BFHj9fW0wIAtJJZEfb1SX1mi9ULFXfe9YOXQTGvsywAAFTXptfeXjsb6Ufe75+U1tr8uoNzoozkkc3qLgAArJX9QmHem6YBf92DaWv9VQCvM0v7Lb2lV5OiQOXue5XbOQOMMU6zOaH7+FHvwLkz/rGJLXzXpengQq4T9zAGGGOAhXQY2bBJ3L6cZ/PJNM6ePOa9ePa0f3R5E9l2y63yO+fngulkCnWIIpQUBaqWyQ1FgVp1lZUch1uKCrVwBMWCgPsL88Gleo2tLi3S2WgUxR2H2z29eJAQKJ455R+Z2EJ2Kwqctm1uuw6w9z/vPjFzKbiwUmCLggDIZ/9L+E8Ly3SxtsrK2RzuBmugfsYAKxXpcjqDskSE0je+av05xgD/xm+Ffr9cooV0B+kcGBRGJQlK6QxKbtku3txssFo2h3tlBaqPPeJ8izPAcp24t1JhxVgcJV2HX8mIO3XCP3j0kPf89FRwllHAPvbL6m+Gwyh29LC3L5XGHaIIRc/7+bRT/1kRCwKPhKN/JUVTw7XTh77CaeCldt71e1Zh7kUhFMkp2d5dJBzr9Zu1OR74VuDYVb9VXwIIC8xzDQA4o47TcGuli/bKwiGvUZtjvnvDymXftABP2w2snay2VvixRolr/33t/Jxztjb68CPLa6zOIiL+Sbh/7N1yMjchqKF2aiznjAe+05o597BTzp+49sP2511SNrdJ6R/cGzQby0G9tuAVV86+WayknyZBjAmAEADG6CvV3f9b1lop5esOcDgtv5E/Uz/smqEWkbGihIWYGiEJ1wyaTiuozxxafbp7InZTx0h4YvFk7QBEEPsOtaYPVB4HAIDJ50uPrL8z8z49JWWz68Ob545Unz39vcI/doyEJ5olJ786b01hgsThW5J3D+xM3F5bsi4tnqofYgEPwhm5U4mQWHGyeSo9pG9I9KhDmCDRaflNCOHz1UVrhlEepAf1Db1b47dc2l95vHCxebJZdPKccTr1QvmxRI82qEZI4vzTxX/p3RrbM7Wv8n276df3fmrwd6M5pZdRTqnPPBowb3Xemlo4UdsfTkud5Vnzgt3wqoHH6utvz+zLDOsbIYJo6ObkOxK92vDkc+WHjapbQhiSNgMotIH6zPVtajLKA8Y4bZWdgiAhec3yXEwPhTYUp1qnsYBIY8VZXDxVf9Fp+XVRFTTqM29lsnl6x4d6fz1/tnEEAABW581pURUK5qpXXLc39a7saGQL54DnzzQOV+bNSUY5nd5febxzLLIttyGyY3pf+TEtLqbMmleePVJ99tpjiTBRAs+ucRZ4SBBDa4wYAED7Hj2w68NvQ4KoSaHEoLm6cIhR36ounPp2ODN0hxrLjkMkiAgL8hrQ/Ip8xyhDhJ50jdq8GstNxLvH72+WZp6DEOJwZvjOjpG9v+U7rZVwZugOgJCAiBQKrPqi3Sieb5ZmniWynsGiEoNIkAWixCDCV6xF1xgvCwjhgmfWF7VY5+Zwdt076vlzD4lqpDPSse5t2dHb/+P80e/8NrimbPSHE4SiEs4CACClngWuKqOCCOFY59h7GQ0cDjlgLHDhmjUz55x6dqOAiBjCgqRLofgAxC9xOoIIS1rgFitroHodCaIOALjikMBZ4Cnx7h12s3gWEzkCsSA5q6ULnFGf+m6TUd+mnl2ngWdeYagx6inh1AiACNPAaXFGX/Yco77TVKKZscC1qr5rlGQ9OdwsTj/NWOCywLdY4Jk0cFvUcxqM/WA0nwaeCSF80TWqs06rPBnuGH4bAIDb9cIZPdV/S7J/60ddszoHAPjOj97vP1BrxVrq25N9JNarr3MaXtWqOqXBO7vu9wy/0bk1uddt+S9jwfxYxDlrl9JASE1z1Tpz7l/9YukiyXZsRIoSY47TtM6eewS8lPn2Q4taVg20s6GPvda8Pw3CGOK974ne9pHPpP/ziX3GEydeMB4HN/jc+LcuPSrEd94Vfk952VswW7Rx6Yz9msc2kSGdH/h06vcABPDMQfOZR76x+nlww6Dyb+ktvTFJMlS0EAwfP+rt3zQh7jh22Nv3nW/bf9NssPrEFrG2br0w7nvcgwggz+NuOIyiu24W71haoLOHDnjPGC3WGF5PNvb1C+sEAZD7Pqh+4txp/9j3H3W+rapQSyRxulqlZdPgrS9/wfhfKwW2tOsm8Y6PfFT7dUWBaqPBa909eOBb37S+vLLClnbfLN75oQfU/00QAInFUTKeQCkAwIJpMlPT0L8MDAnrxzeRHfklOgcBgPE4Si7n6UJHDnWDNVCu63In24l7JAnKrssdy+JGs8FqB1/0nhnbQLYU8nTBD4AXiaJYOoNzpRWar5TZSjyOU//8T/ZfP/OU+zAhgNy0R7or24l7OAfM97nPaLuqYf8L7hPd3XhgfBPZUSjQJQAADEdQ9NJ0cD4SRQlCIAE/v3bqPzPym/UrOA1ERJUz6iMiqoHZLESGJz5YOfrMH9XPH/v7n8S+3bAADxKIhBQlhhU1jkQ5rA2NxoWQ3oFD4Q4st1NqkUAUSIgCsSC1qxQhAhBCwDn3apVpLCt/eKNs05nv2RDhf0aiGEKCqEKIMOeMMt9tMc81/n/23jtej+O87522/d2399MLzjk46ADRwV4lipQoypJpFVuSY8stsa3kOjfNjuwkTnx9b65iO9exLSu2ZVPVsgo7KYINBEj0cnqvb6/bd2buH+85IAiCIiV2Cd8PXxB4y+68s/vuzjzzPL/f1brjVyJl23eQSKxXzLTtILqeLj/64L8Hr+Eu9m4AiaIqJlJDkGCJM+Yz0yx71crc61ntJKFQNrh7791IEBVneekkJOTZn/b05TVRuQVBxsWV0fqpljUzhL7LHKfpN2ZfLD+1OlY/I2okYNe9qqiSAPO51yw7eQAAKEw3RxtFZ1VSiU595ppVt1RaMKZmj5efhggg16RN5nP/7IPL93POeUvA2TewgF6A5+FxQUKy7zK7NG9OTjxTeMg1W9o5a7/ZRUHGf6kEhQiRsGJW3aJj+I2111ZElfytogthAAFwmn49N944W8tZC1JACIWySqcgYUXUcGDhTPVotEPt1RNSduNNqQ8JMlbTA8GtF55Y/TYAYH7mWOkHCEHcuy92s1n1ilNHio/GOtV+x/AbvsOspXO1Fx774ti/ZYwzq+aVqcd8USFHEYYYC2XJMWkDYUi+/btn/5nnUMu1/CajnCEMx8qL5jTCkCAEMfWZV12x5pol96Klqmv6BsLw0aXz1RelgBDybGqaFbdI/VaZFBbQI0tnq8dEFQfMmldSgkLENf2mUXFLLz+Ovus5jRxnvosFOYiJqAmynnrpHa0APMJE5sx3tXjn3uLM8b+FEEJR0dOiEmqjntPgjHlqKLURADCCMBElLdJNfc8AAOasen4MIjylBJNDgVjHbrtemGjkp56Sg8lBWY9vABBijAUFQiSokez22urE4xgLqqDoaVEJZjmjLoAIK3pyEABwHAuSJiqhdt+1ypyzolFePIGwcF5PdB8MxDquca36SnV55EEt2r6TSFocvBkBHgggImLAMSpzSjAxuCYoDQAAgPqO4RiVOYiJiDn1BElPAojW7pucM+qZohpq59S3BSmQQPglByFGPct3mgXGfFeQtTjCoiq2+n9y/T3lhXP/6LtOjXpWTdbjG0Q13AkAAL5rVQCEEEJERC3ShYkUAAA8v35cRTXc0SzNHxXVUPulWUPrGOWlE9Wlke9Tz64RSUuo4cwWIuspq7pylnPmg5ZidUgNZ7YSUX7Rd+26pEU6IMICxGTFteqrAIDVULrfzW665d8wz25YtfyI7xgFJZTeBN6CSfzii/knV8+WnicyUcMdgb5tH+3/1ZUzpecZ42zpROFpp+m97aXUnHOubtlkAIwEiDChhlFCihLCeiAJBUFGkqS/9lbefkQJSXoYxxCGmHPAK3lv5VIx0jcLCAEURSjNjNpnZkat03oYx97sfbzXUQJIv/Ge8CeNBq0uTTlj4HUE7wJBHM4tujONql8CgANM4Hsq2x4RQZZC8T4OOHfr5Vnm/WSLOEOEiRiM9iAiKF6zuuDb5qs6/kEIoaCFskiSQ++VvpElKMsKVAAEgAhAdBxg12usCgAAy0t07oP3Kp965rDzcEcX6fVc7iAE8dgF77SqQi3bjrsefdD7VizOk+EwjCWSKDM5zs6XijTPOeCiCKV6jVUggND3uV/Is1XqcyqK8KlNW4SdvX1kqFxihUAABosFtsooZ+2dZNK2uBmOoFh3D9lw+HHn+wCA+UQSpz/2cfXn2tpxN8aA1Ou8Mj3lj0oyVPo2kOFCgV3MaPM84JaKLC/LVEmmcBYhgH2f02v2iJO/9KuBf92os9r0lD8qK1ATJSgFQyi8ME+n40mUXn6Mfo9RzgAAzt79ktnZhftPvOg9G4+jFGWAyjKUb71dvnvXbvEQwgBbJm96HveWFuns4LCwdW7af1U776u8d+GMesb8xBMkGOmEmLPqyPG/9Y3G6mu5X75VvKGbBoQQion0sNLRczB+851DYjw5JEaTA0QPZrnnGH6zmRMisV6/WVsWwrEe2mzkoChqbiF3gQRD7VhWI43Rs/8oRqI9gVR2S/m5H/wReBNSsCFCSNAjXYGugSEhEG7HoqRb+cUTzYXJJwFo3XxEPZKAGAu+ZZSo8+bUu72XgYSIwV27JYgg5p5rMddpIlWLv9Ptej0IsXh/9Lb3/QHEWPRKpSmkyKHid771G+B1TP5IKNyu9G64kXueRYKhdmdl6TRYE0n9acez6atl/vjgJdtAAAB42er6WoDoSun3l2szvOy3Tj22HlhzLvv/5e2ywauknrumb4BLnEnA2qqnpBJz/Kn8g5xxKqokYDe8qll1iwgjwbN9U9aFcG3FmvcsagAAgNPazj+tPV7OX1382+SlT7uWvz5QW19pdcBlDmnrg4LLvtvM5btYe98VSxLW+ulS0fMrXjOpZ9esWu4ChAjbjdKUpMV64t07P9G26eZtpblT93POZjIbbziDMJEdozKrRdt3pTYc+BW3rXYXIqLm2Y0cFpRQbWXsYSWU3qTHu5ZkPdHs2vXBLwLAWW114rFgqu9IMNmLJS3aLWnRHllPDFLfaXLq275rVc3K8ilBDiQ9u7GqhFLDmY03/CvqWhUsKmHPMYqioqdry6MPhTIDt2qRrBeIdsQ6tt/5h65VW6qtjD+iJ7pPhzIDcSwqYUmP9bW0ghyDUde4UubKjwMEEGFBDrYWAThbC6a0XkNE5Mx3sCAFJDXSxRn1LiajglYZnCAF4r5r1Rin7qWZTr5tFOxGcZJRz7TrxXFJi/cl+vZ+Njt84/7izPGvuFZ9xa4XxvREz7W+a1U8u5lTQ+nNid49n/E9uwY4812jMo8FOYRb9uTHOGeMc06temEMQiwgLAL08qwhAEArwyrasWVS1MKddqM0qYYzW8LZwdv1ePd+CCH27Maq75rlYLLvxkWjugAAqGeGrv98INF9oJGfOhxpGz7sOc1cKDN4ECIkhDJDdzDqmpxRt7Y68dib0e+XsyagbAMAqpFO/VtyWEpQjzlm0VpdeCH/hG/7rzsL8c2EO67BLKviLCy86Jcrs0gUVWtk7CEhlRxC0kvnyruJwR3qvrYecTAYJYlUu9h9/xfz/xG8CaL9rwACGAjjaKPqlxplWgxGyavanf+0whlgZoPWmlVaUQIo+Ho+owRQECKA8ovebDCK41fKen83I4ZivZkDH/hvbqM8W5s+920AwKPvdJveSrAkh9J7bv8PnFGvuTj5JADgb670PoSJqHdtvDnUs/mDghbM5l549A8AAMfe1sb+GDAOuGnwZjSKEpbFjXWdHcY4931OC3m2Uqmw4tBGuNV1gavrMLR5m7g7kUDp5SU657ncXZyn08UCW/3a31v/yzBY07GBZRq8KQhAXF2lS/UaL+/YJRwEa6J4rsvdG2+VLwwMki0bh8n28XH/HGOtMkfL5IbjADuVwW2YAEJEKCAM0S9+TvuFDYPCppkpf2xxnk6Pj3rntmwXdvdvIMOhEIqYBr8oVq4FoJ7O4HYAAZRkoAgCEAAAoFLhxaeesB+AEKJYAqVEEUqeyz3H5nY4guL1GqvCS36Pvs+92Wk6BgEAhADCGGB79ks33Hm38rOjI96ZYoGtTk/6IwgDfN2N0vtEAUiUAfZWBNyv8s7CKfUAAH/+TrdjnR8rwAMRwkI42h09dMvHAhuG72Sea3Lfs+RMxy4nt3zWXp4/BgAH9sriicjug79qzU0/BRhn1vz000Ik1usUcyN0cuRBpbP3WreYG6FmI6/1b3z/pTa/P/YXUgLx+M4bPo2IoFLXrmmZngNYksPMdRpYUk4yz21GNu66T23rPeTVy7OAAyBowb/wjFcXP/xpABFBJqFIBxRFza+UZ0kwlOG+/94oz2LMtybGHmG+Z4mpzGYkiBqACL32BwHgvu9AQkRnYf6YmEptBJeJoF7lJ4O1gM2D73Q73k6oa9eaxfnnY1077gOwttQoTD+tRjLbIh1b7rEa+TEI4awW7Xgq3LbxA9R3m/Xc5BMQYUlP9BysLo8+JGnhjnB7+06IkAA4Z4IcSPuuVaGuVXGM8gzgnEXaNt2tRduvcc3qQnnx7D96Zn2FSFpMDac3G+XFFxEWlezwDf9HdWXs4cri+W8LciAp6/GBytKF7+mJngNSIN4faLlUYUEJZjjzXccozzjN0jTCgpLo3f1pJZQeNipLp2qr4495VjOnhJJDEGFx3YodtjJdMAecA84Z55xDiBCAEEEAWv8Bzjln9EqrKBBhkUhaXFCCWdesLSIiqOuvYSwoohpu54x6RmXphBpKb+b8ZVoq0LObedeoLoiynro0wOM5zYJRXjwezg7d4ZjVxXp+6rAaTm+Ohrf9jFFePAEAWPE9q1rPTT4RiHfvN6ur5+xGYTyUHrxdkNSYWVk+5Vq1pYAW6aKuVV5z4GIIE5lR18KCpKvhzFbPbuTAFWgUZp6JiJvuhhDi0uzJf1CjbdtlLdbnOc2CUVk+rUay26jv1DloCfdywFmzOHfUd62qFm3bEYh37wcAgOry6AOeWVtm1HfCbRvvrOcmf/BmnJ+XIgfFSKRLHyhO1c5JATEU6w/25s6XX0AEEs/yjfTm6B4pIDzpNL23v0yFMZ97vo0kSSeRcCfWtJiQSg5jRYlAUXxXBngSWaFz763BD06ft0/KGgrEs0IneAsCPBBCqOo4pOk4jAUoUsrfkEbQTyLVop/72z/O/Ts1gPRGlZb+/Pde+zOiBGU9jKOiDBXGAHszxsY/ChBhEm/b+pFU955fRFhUr/QeRl2jvHL+O/m5F//35ZpcECLCqGd5RmNFDEa735ZGv5NAiDjg3KkVp4RgpOsVL2NMAm39N6T3v/92OZwcxJISAQhhiPErsi/fLLAg63sjesYAACAASURBVG0brv+X4eTArVd+B+e+a5ZWpp/7s2pu/NHL7msvw7a5JYpAUhSkpjO43XOBu+aW5UMIgWmwJmeAMQ6453LXcbk9M+WPnj7Jnk9ncEetysqnT7lHaxVedj3uIASw7wHX87g3vFkAigLVTAa3R2MojtdcuAAAgDPAXRc4yRTKNOu8xtd+B62SKta0bWhFoySp6zAcCMDgxmFhu6pBrfXtOJ+c8M9v3S7s0YMorAWgnm3HrWPDAYcAwNkZfzwSQfF0BreLIpQBAMAymZHPsxXX4Y4kC7IoANF1uK0GoK5Z0GxrJ92ahi5e9ykFvm1xi3MAPA94CAE8MEg2xxMoLc/ACUEAwuS4f6GnnwxpGtRVDWrtHbhbEKAI3m7TgKu864AIYYiwABEiACECIcac+d6bYf70Iwd4ECGi1r/xtui+63+LM+o1Lpz6ujE9/hi1jGJo+77PIlkOWbMTT2j9G99P9FBbc2L0QSSIqlcrz0JBUJzc8mkp076TBoJpc3byB9z3bH3jtnupbVbBG0xhQoKoRjfv+zmi6WnAmE9tsyyGor2CHumsz1z4rhAItTmV/CiSlJBdWD5NbaMU3LDtI4HG0G3gVSLuPzVgLDDLqiJJDIjpzBYcDLbRRv29IdCHsSh39RxkrtMAAECkqJHX+1HabOadxYXjJBjMeKXS9HsmqHWVq7wGnDOGsPAQIpKuRTJb1Uh2O/OcJpA4W3fFsmq5C8WZ43+jhlKbpUC8j3pWjVHPQoiIvmOWm8XZI3q85yD1nYbvWVUAALDq+VFJi3QLSjBLRDXqGOWZ2sr4I0o4vSXZt/efOUZ5Zunso1/w7GZRUPRnS3Phr+qJ7gNEUMIQYdE1qwtEVMJ2oziJRTmsRdq2u0Z1gRIx4BrNWdesLohapEvUIl2CFIg3S3PHzPLyyUCia39woP+fN4ozzy6dffQLjPlOINaxKzVw6AAmgsYZ8xmnbnrgoJ8ePCRCTOQ1RwvayE8fxoIcSvRekzIry6ep75lrgs/LWJCDRJBDip4Y8EQl4tkvXfc4Z34w2XeDWV05g7CgUN81mP+SZTHEWFDD6S2e3cgTOZBcc8pCnDPGGaOYiF+HmEhKMDmkRlKbfMcqC1IgwXmr/zljDEJ43KrlLgTT/TcpwcxG6tk1p1maZsx3AvHuA1iQQ+W5019ljHoAAEBELS7IgYQciPd7diPHAecIE/FyTbk1naQvy3piINy28U6ERc2sr17wHaOgBJNDaii9qbY6/rhntVz0rOrKWT3Zey2R1GGERZVzRqtLI9+HCAuJvr2fxYIUXBl58o+sWu7Cm32uRnuCQ1t/pv9Xnvuzs/9eT6sdvde13YUFJGIBiQAAoEblZHGidha8QzokzDTLztLyKUSIjHU9zWy7BiUpgBT5dWVkvF0gBGFHvzR8w4fCw67NLd/nXiQhpK+9M/TR9/1cbMvCpD1y7pjx1Ju5T9/l7uq8OwUhgJhA4bU/8d5GEKEYCJGoZdCGGsB6ok3oEkQk1St+MTfvTjs2e9kYwnOZCwAY+VH2wTngtSLN1yu01NZDBt7uDB5RDmZS3Xt+MZTovwlCeCXNTA4AAIFw+y7HrC1CCL99afCc2kbRXJ0/CjER3Vpx8vLP/6TBfc8yV2aPYFmLudXixOWvI0zkcN/We6VoZjO1m0XPbOTM/MIxp16efqvaFAi37Ux17/mMpITar9jm1vHigqyn7WZxAlyWbXwppsEbYyP+mT37xRsCOgr6HveybbhT01B+cCMZ0AIoGI6iOGecuS5w3BJznjnsPJxMoTbH4c7uvdJ1sThKjpz3T+VzdDkURhEIARJF+HBXD/EEEYoLC3Q6EkMJLYB0sJY5LstQzufoMoQAXRo89lzu2hawNm3BuxJJlFYVqLoOty2LN12XOx1duC+TxR3BcMvOXVagVquyciqF2sIRFOUcNC2Lm929ZEMihbKCAERMWoElSgENhVA0lkCpVAplRRnK4yP+mc3b+e4Ng2SzZXFzeAvZqQXQKUkC8oFDUk8gCEOYAOw43PZc7jSbvNFs8rooQXn3XvF6hCDu7Mb9mSzpLJdpQZahmsqgNoRgg7GrciE/yUAIIZbVCNGCWSwrYUREFQqCioioIkHU4ruuDyFJCWNR1iEhMiKi6lTyYwCAP3ij+/6RAjxIkvXwNQc/G9q1/5f8WnWx+OTDv0vNZiG859rfcFaXTrul3CjRQ1mtb+gOt1yclDMdu4RIrK924sj/Cm3f82m/UVuSs527OfVdLMkhKZnZUjl6+L/rm7Z/FBJBfqO3MCmS2CAGoz2+bZZEPdwhhmK9SJR1u9wakBIlkLBLqxeim/c1kShp1LHr9Ykz35QTbdvf2J7f+0CMBCRJAea6BrTsqs/LrKXy/R6Acco5Z9QwitzzbCTJwdcbLPTrtRWI0H8Ca1kKb9Sl5CpXeTfBqGdDhP+hWZx5VlRCbS3NHUE2yovH1wZ4JsLC/Q0t3CFIWhytWZ+7Zm3RaVZmkSAGtEjbDoRFFUAA7XphzLMbOSkQ61XDmS1arGMPJlJAUPS07xiF3Pizf1LLTT7hNEpTAADgWY08FuS/lNRwJ5HUKMRE4Yw6TrM861q1JWFBT6nh9JZWKRT1rFruPKOuJeuJfi3StlONtu1ERFKJpEadZnl6qfDYc/Xc5BOuWVuGCCEt1rkn3r3z43azNKOG05uo5zTM6vIpACGGEBEIsQARwq5VXwom+25AmMiIiAHAObVquREI4QrCYmnuxHd+GyIstDKIKnPr/VeeP/MNx6gsAM4pY9T1rNqyZzfyALQGyKIaOjrX+M6Ma1bn67nJJxyjMrcuhgxAy5kKYfLXkhbtERQ9DVqL26JZWT69/p6LxwHhh61q7jyR1BgAECAiaHa9MGY3SzPrQRgAAHCapalI+/BdRFQj1Heant1YBQBeMWNxzblpRJADhXV9H0xEDUCIaqvjj9qNwvh6YKg4e/LvG4XZZ5VQcmMg1rlXDES7BTmQ9F2rUlk6/51GYfY5s7L8lpgTlGfqIye+Mvb/mGU759vUHH1g9u+ox1yEIEYCFpWwGLdrzjvmoIQ1NRY8sO+X/WptgRlGCcpyEEAI3wwNHlFCUqpD7Nl1g/7+TJfYX855y+dfMJ+eH7fPNmu0sj4BUHWsD1+jHRraoe7Xwzi2Mu9OlXPecinnLeUW3Olyzl9RAkjffihwq9lgNUlBWqpd6K4WvTwRoRTPCB2pDrEHAPBUNClk+jYrOzUdhdp6pEEsQFJY8uaLq97i+GnzaK3kF6/UVkFEIueAEwEIkoI0SYGeYzHDbPBaMEJi8JLVdwBag1tFQ4HeTfKOXdfr74tnhPbVeW/mwovG09MXrJONKi2vlaO2+plA0t4nDe44pN+W6RL7G1VaWp13ZioFf6W44i2szLtT7mUBlB+HcJwkb/to9LN6BMckGWnHn2w8cPTx+ncBAECSkXzHz0U/hxBEjZpfmTprvzgzap0FAIDNe7Xrfv0/t39GD+NYpeCvAgBAs04r3YPyVoQhXpi0L/QOK1+aHbXPrB+3aFLI3PKRyKclFan5RXf24fvLf3lpWzCBGGFIAAdc0ZDOGKeD21VQKXirRICiFkThtTTElx2HZJvQtePawG19m9VrXJuZE2etF84dbR4u5/xl12EvK28Ox0hi26HALT1DynZJQcrStDNeKXgrpZy3tDLrTtbKLz/eCBO5VarKea0w9WR+/sRXiKiE0z37f9mzG6u14tSTseyWj6jB1MZYdtMHK6sj3wMAXNQudJu1ZQjh/wURJoy+XNMQIoQgRIRz5kNMpDWBfc59z36vGp9Q12lCCP8/gBAB7JWlN9R1mmqy4y+IEkhS16r6ZjPvGfVl5rtXPJchwgRAAAHnDGFBBggLgDPKfM/i7PWNUQmRgwhhkTPq5eaOfalWmD6sRzv3xNu331crTD7uu2Y50bHz40ogMRhK9N8MfkiAx/c51QLoWHsn7tWDPJTJ4o5bbpc/NDbasic3DNbIZnFnbx8ZghAAw2DG1u3iQls77s6tsEUEPZhI4vS11+PbT590jyIMcb3GKggB5HvcS6Vxm2nwJuCAh8MoBtacrtbKv5a7esgGRYWB9VAjpYCKEpBdFzjFAlsFEEDXBc75s96J/gGyaXzUP9PTR4ZuvUO+58Wj7lMdnbg324a7XBc4v/6b+u8+ddh5SAsg3TK5OTPpjyqbBXVdHBkAACoVVjQMXhdFKIoilEyTmZksfujODyr3zc/6E23tpPuuD8kfHznvn8QEEs/hTt8GMtyosSpjgE1NeBd27BL2z077Y7UqKh24Trp1bsafGBvxzuzeJ143N+tPfuozgX9x8rj7nKqib5gme9frMF3l9QMhhEhSwmq2+0Dmxg/dKkaSg1hWo4AzauUXT6iZ7v2AMwogIkiUAtz3LOrYdaeSH6WOWUHk5aYmPy4/UoBH7dlwU/Tgzf/aq5XnaqeOfUnrH7rDWV06RRu1ZSEc7SKhcKc1M/kDEI1jtbv/RmNy5AG1p/8mIRztbk6MPAAJkZjrNJW2rr2VF57508DQlnvEWGrImBx7WN+49V4AXrlS8HqBCOPw0M7tWNHiUiy1EUKEPbOx6hv1Fae8egHLagwJLXtbzqgjBEKDEGHRKiydVBB6TwnYvSUgRMRMZitznAaS5KBXLk5z13tHNA9+VDijrl8pz3LqO369toRUNcrXbJfXV59+mMAVZ4yDV1GzhxgTEgq3k1Co3SsWJ/3GT3cp31Xee6wNCKfXHq+AUc8GAEysPS6nAgB44grPn4QInSkvnPkWbIkOc8A5Y8x3Lh+kU89uAgBeLetjee1xOUWE8HGIBRlChFu/YM4YfWmACyEiRFAiViM/5hrVhVY4w7N816pBACGRtQSjnikp0V45EOuDCBFB1lNKMLXRbhYnERZkACGivmO8yncEdrM0CyGaX9v/K64hrlm7tP1HrrSNtQnO+NrjVVnL0JkBV9BkupTa6vijzdL80Va/c96yn//hboee3bxUM+vK+6eeAwAYhxBO1FbGH1mbeLXq2xh1qe++ZfcDu+5WwZqgvxqVg2pMSefOl14wS04uMRjeBiBc1/Z6p4DGqdNfE7PZbbTRzPNqbYlEI92QEPGNbDQQwuH9twffN7hd3du/VdntOdwJBHEk2SZ2Lc04Y8cPNx5CCJ4nAhRv+nDkvuFr1IPFnLckKUjVdBTuHgxsSXdKvQuT9siX/+vq72AMcbZHGqiV/MLitDOqqCgAAQBnnzd+IMlIzXSJfQAAcP0Hwx9XVKT1bVZ2BSM45nvcg9BEnRukTelOsRcT+GeX2nJjAnGqQ+zp2ywnJBkpw7u1a1PtYvfsmH02lhLabIuZqo6CxWVv4dLvl2oXut/38djnku1Cd8+Qss0yWZNzwId2xPctzbhjz3y/+jVC4BHf5z5CEPZtVra/7+PRX7EN1kQYYFGGSu+wsi3TLX4EEyh89U/yvw8AePqN9DkAraBL95C8jVLuySoKxDJC2/prsooCXQPyZttiRueAtFlWkAoAOAsAAPG02FEpeKvhOEl3D8lbp85ZJ1ybWflFd2Zu3D4/vFs7dPen47/11T/JfwGsXW9FGSnxjNCeW/Rme4aV7QhDtB7UCkZJrH+L0o8xJG090sDmvdoNhRVvnvncF2WktvWigUCYRC/V/JAUpBx8X+iePbfod0eTQiaWEtpGT5rPX3dX6L4dhwK3n3m++YSm468aDVoHAIBAEIc+8Kn4L2e6xf5q0c9JMlSjKZLduEs9EM8IHSdbzmdfuLR/WuWszOeMOuXVke/Vi1M/aB+69T8w6tmz5x/4P43q0knHqMz17bz3z9VQZitERAKXBHiIrEa0TM8wRFgUg9Fpt16eAwAAJZ7dEhm8ZiciguKbjTzRghlRj3RiSQnb5fyoEss8YpVWzq9tI6wk2ndCiIhvNfN2efXCpfcWRARJTXXtgwgRr1ldsCv5i9dXCCEkip4UQ7HeloNjI+/WipPUcy7q82FR1uVYZotbL037ZiP3amNEQQumpXByEBFBoa5V861mntpmibp2Yy2ADpAgKmqqcwsiouZbzTwA4Pzl2/Ga1UWIiUxkLQYAxNSzGxBC5/L9BrJ9h2LDezcx6jvMdw1BDWbEUKwXYiKbufljoh551G1UFi7f/uUw7rucc+b7TiM/d+JvAAQwEz7wq43S3HOz577/O5z6DiKiluzc9Sk1mN60nnn6atszmqwZDqNv7t4nXj83608KAhQIgaRUZPnR8/6pa2+Q7pAUqKga1AEAxugF75TjcDvbhjslGciRKErMzdIJnwK/vxcPHP6B/4DvA48IUIhGUWJ5Cc5TCqgehOH1fYoSlDJZ3Ol7wAuFWlk/AACKUGuySAggqTRuFyUoAQDAM085j8QTKD24UdjWqLPa0gKdza3S5WAIRdo7QE8iiTItJyyUiERQbHgz2fn8c+4TtSovWza/eH9LZ1BHtcKLCAKEcWuenFtlS489bH9702Zh5+yMP6GoUCMEkOlJf7StHXfFYijJfEAFAQojF/xT46P+2WxbqySsVmWV8VHvXCqNs406qyWTOFsps0I0hpJEACIA4GqA5ycEiBCSE9mtsZ3X/Qsl07WX+57Fqe8Azny3WpyGmEhes7Zk55dOSfH0Zmo28xwAgDCR7PzyKU6pZxeXz7wZbXndgQ1EBCnz4U98yisXxr1qeRYihKnRyKs9/TchUdY5Z1Qf2vphKZHexCl1pUR6M5ZawpWhHXt/0auWpwEAEMlKGAqCqg9t/TBSlHD00E2/Q5uN1bXb1xsI8CBBSXXsgggRiDCxiyvnSqef+dP0oQ/8oV1YOYMkOYQlJQwAAF69Mi+GYr1yPLOFuXadXXLRfzcCCRGFSLRH7uzeR8LhTiSKmlssTjgLc8+7xcLElezlkSAqYiq9Se7uOSSEI13UMAr24vwxZ3H+BeY4zfUb08V9QIg4Y9Qt5MewokaY67yqiCkkRBQTySGlp+86IRrrpZZZcZYWTzgL80epZVU4oy/bNiKCJMTj/X69toIDehLJcsgrl6aldGYLgAhDCJFfry95peIU58wXwuFOuav3EA7oKcAZg7i1wuPmVs9ZM9NPU8t8magvRIhwxnx7bvYIiUS6gO/bSnfPoch1N/bH7rw7Cyjz9a07jjtLC8e9amV+TQgLAACAmEwNaoMb70SqFqP12lL9+AtfZq5jQgihEE9siN54630kGu2BRFC451mhfQeP+tXKnFssjPuV8tyl27rKVX6aWLuGvGVZfmsBjx/6+2qW548Z5YUXsSDrVm31HIRY8D2rCgFEghrMQogFu1Gc9B2j4BjVeUEJpAHn1DVri2Zt9Tzgrx00+GGD3neCtUnODw3WvBHWJhyvJrD+lpMciuzovS57V2GkcgIAzrGI5HhfaMvyycKz4OUC6m8fLXUn5i6tnMbBQFpIJgaQKKqc/fjnBiYQ3/ihyIeu/UDoYxNnrBdX593pUJQkElmhI7fgzsTSQvu1Hwh97Lt/Xfp/Y2mhva1HHMgturPZbmkgkhTSqQ6xd2HSvmDUaTWRFbsEEUq2wZuCiKTODfLw9Ih1StOlUCwttHsOczgDfN2iOxDEoUyX2G+brFkr+4VUu9id7ZY2EAGK7f3yxqe/V/0qWFtFBwCA9l5paO+twQ/aJmtmu8UNbT3S4Oq8O711v3aTZbAGIVDwPe6W8/7F8kY1gPUbPhS+gzHO8overFFn1ViatEsyUssFfwUigG6+N/ILjRqtAADOSQrStu7Xbizn/OVwHCfjGbFDDaDg6oI7bTRYLZIg6VjqpUDMG4EIUJQUpJ450nyCCFCsFv2LOlaMAeb73OMMMM4hsy4RZhUkKIXjQsqxmaloKBBJknTXoLx5bsw+O7Bd3ePa3JZVpG0/GLiVCPBLvsc9zjhlHDAAOMAIkHXtDVlF6o33RD4iylAVRCht2x+4qV6hxWiSZKNJkrUM3vBcZgsiktZHxphAvGVf4GBbrzhYWPLmyzl/uV7xS5IMFavJGvUKLWzYou7mDDBM4P+mPvcHtqv7tCAKl1a9pbZeaTAcJ6lYWmjPL3mzRoPWsl1i/+X9wxl1GfUdiLCkRzr3BEJtu2JtWz6cm33hS2Y9d16Q9JQaSm9utUkKCpIaB5fcC8RgtDsyuOuTjFF3rUTrixBCmNpz+71KvG27HMtsYa5VtUorZ33LKGJRDkrheL+a6tytJjv+2MwvHEeCpMe3XvvPhUCozSosnSqefeZPAAAXMx+xrEajG3f/PBLEgNesLYnB6H936+U5RERZ7xq6Ue8YvFXvHLzNN5t5u7RyzqkVJ9Vkx7NWcekUZ4yKoVhvZv+d/9nMzR+zy6vn5VjmReY5TTmS2iiFEwPViZP3E1VPp3bf/jnAGRMC4XankhslWjANERYb86MPIUK+ynzfwaISjgxe80nqOU2EsAAA+Jfr7UREkNR098H4tmtvCnZvugsLomZXixPUbhbr82MPY0n5DnVa7sEQItRx88c+QxQ9JYUTA9Q2SmZh8QQAgCNMpEC27zot1bVXCsb+i1Mvzf6wc5z5ngk4Y5ioeiy76UN6rOdaVU8Mzpz97m97jlEMhNt2SkqkCwAIBSmQxETUwGuUwFarrCLJ8KFkCmdch7uSBCXD4E1VhdrkuH/+hefdw80GqwEAgOtyDwBwVtPQTLVCyhNj/jnqA1+UoHzhnHViasIf8X1O43Fc+NbXzS8jBNDpE+6RpUV6cYHj7CnvmNHkDdvmpmNzm7JWlg2lgD30ffsb6QxuC0dg/MJZ7wRjnCMMp79xv/VXvf14SFVRwHW5vThPZ777j9bfbd0h7s1kcIfjcHt8zDs7N+tPLC0Kc64LnIkx63ytwkoAANCo8+oD37H/IZ9jKx1duHdmyh9rXRc4BwBMhEKooAdRCEKAHIfbvs89jAE58qz7+MyUP+a63PV97kci6Mv9A8JwJIrinLu8kGcrD33P/tpDGfSNTVvEna7LndVlumhb/F09/7zKj4YUTW1MX3/3f5OT2R3G3MRjnlFfRaKsY1mJurXSNFGDaQAAcKvFKbdWmsKyFidqIGFV8uN+s76kpDt2wxLCEGF8+Vz6R+V1B3jEeHJIiMb7GudPfR0w5pNgqB1AhJEgqvrwtp+htlWllllGohTgnmc5+ZWz1HWaxsz4Y8y2qsy2q8x1DOZ7Jqe+CxijACGMJDlIVC3hlosTzLF/fDcrCKEcTQ0DhDC1rarXrC1Rx655zdoidcwqgABA0nIboY5ZFvRwJ7XNspJs3+kZ716tGaIHU/q2HbeTSLQHy0qYOXYNKWoEa1o8/v67/9i4cO7bSJL+jjmtciqIEBaTqY2RG2/5WRwMppXO7gMAAOisLJ/Whjd90FldOWNNjD2KVfVRal5i5QghwpIcIgE9hfVgxs2tnn9FEAghJERjvZHrb7qPhMIdcmfXPiRKmr0wf0wbGv6AWyyMWZPjj5GA/pDfbFwcHAKEiNTRuVf0PBNAREJ79/+SOTXxBDOMIrOsipht24FkOUyNZo771CWaluCMUa9cngacUYiJSMLhThKOdMrdPdfiQOCPaLN50SELEiJjVY2RYCir9PRfjwOBpL20eMKrlGeFeGKA6MGMmExtDO7e+4vNM6e+iiTpfua0gnpiPDkIRSkAGKPqhsHbmmdPfwMAYCJViwW2bP8oDobakCgGIMIChxCqGwZv84qF8fDB636z8uTj/wVC+OQ7YX93lav8tMOo70KEn4QQIgDWZUhbf1z6g4QArBtfrS8gtASX38Dk/CpvHUTBKuechbv1Qd+jjhKW4tXF5qRn+e9IyTBtNFad5eXTgWt2fYI7dh0gRCAhEjPMsju/+OKPu91QlCS2HtBuNpusoYdxdPS4+dzoKfNIe680dOCO0L2e49tGnVW1IA4n24SuVIfYm1v0ZnyPO49/o/zlCy+YT3POeaJN7Nx5nX4H9YHvOsz62p/m/uCO+2K/rIdwxDJowzJYfeSE+Wy9QktkTSPn3DHjqdET5pH5CfuCYzEj3Sn23fu55O+cfq75WDQpZLsG5M1gLastHCOJGz8cuQMTKIgSVAQRyfllb35hyrkgKkg5+VTj4WCMJHyXu+siqJhAcv3d4Xs0HYd8D3hW069XCt7qsw84Xx/YruwLRUl84oz1YscGaeOem4J3CQIaU3Uk92xUtlsGa3gOc+bH7fOHv1P9SrPWcp/aea1+u9Gg1R/Spa8bzgCzTNbEGOL2Xmlw4qx18ThSn3uWwRqFJW8+2y1usAx6cdLLOeCcA+7a3BYlJK/Ou9P/8MX8f9x5rX77xl3qwVrZL2AMyKbd2rXPPVT7JgCgCCGAmo7Ddpg0OQCcccAFEYl7b9Hfr0dwnBAocA64Y3Nr5IR5pL1PGjxzxHi8WaNVAABPdYi96+5B7b3S0OY92nWex13HoqYgQfmR+xt/EQjhyLYDgZvnxuyzCAMysE3dO3rCPAIAuNC5QRqOpoW2wpI3ZzZp/dGvlf9qccoZhQiijn5puHeTsuOV/UNdzjwbQoQi6Y131QqTj1vN4jhEiLRtuO7zwXjv9Voouw1ChCFEGONWdvxL/dQStWeu08DCuk4VhABAaBWXTmFZjbi14pRnNnJiINxul3MjUjixAQIAwxu2f4zI6jR17SVzdfZIoHPwVsAZ1TsGbgGXBHjEYKzPqRYmPKO+goigcOrZiAhyeGDnfWq8bQfzXdMurZzDkhqRIslBzjnDshJZ0587DThndnnlnFVcOqV3DNwSGdj5c9R1GvXZ899TU517zNW55wOdg7dR16oSWY0xz24QNZj2zUZOCicHtUzPwcbc6MMAgFyr3AIiahslEopfDJhBhJDeMXhDqH/rR7CohD2zvuL6vs2pZwMIUah7+AOCqqexKP1P6joGgBAySl1jdfYIlpSImZ8/BjhnWFIiTrU4riSyO4Aganr3xjsREf6S+d4VnUYBAIBS1+CcWYYpqgAAIABJREFUU4SwEO/Yfl+jNPcsEZWwKIfae7be/X8HY90HFT25EUKIECbyWsbma+LY3AZXzjK9YuapYbAmeJXsVgAAKBZpHgBw/5VeW5j3r5jRuuZA9Qr3sbXMuLm1x+UcvvwJjOFRSl++yLNWLnV07Z/zl3+m1rKHv/w6VAQAPH/pE5VWwOhK2YYXwKtnNF/lPQzERMhcf9cviZHEgLW68AIHLW1g5tp1p7h8FolKkHlOA0LUoWa793HGfCRKuhAIZYmmZ5AgKiQQahf0SJe5Mvf8a+7wNXj9AZ5YYoCogaTa1XddY+T0N7GmJ0Nbd32CM07dcmG8cuyZP3WLuQvUaOapaZSY6zTe1gE058xrVOdDG7b9TGX0+N9J4VgfkdUI4Bz4llEgqp4CnHMsyoHQhm3XePXKHGfUgxAi6rnvyggqkuVg9IZbflOIxvq8amUOIISFSKzXq5ZnpWzbDntx/pjU3rlHWJg7CtbS24VorFfbtOUeKBCJWVbVGDn3Hdiq5+MAAI4kSVc2DN6KAnoCCcJfMm/9BgGhm1895xbyo7IkB7nnmpevbpNgqE0b3vwhJMsh5jgNc2zk+1AQVcAYBS2hT0np7rsO68E0EsT/wby1lH4EEdGDGQARggJRAOdc7uja65dLM0hRwm5u9RwzzTKUxIDS23eDu7J8xiuXppGshIRItBtiJFDLqlCjWUCSFAhs3nYvJORLFzOXOOBeuTSFFCVMm828X68tMceua0PDH4CCoNjzs0dIJNbDLLOsDg69z2/WVwEA3wcAAObaTawFEs7i3DEpm90G1sr1IEIYK0qYOXYdYiQIkWgPDoYytNnI27PTT9FmMxfYsv1nrLmZZ8BrZBlc5SpXeWt4vXoEV3nv0MxbS81Vcz6zOba3Y0/ypsayOTf73MpDzOfvyHXWzeXHSTD4ORzUM5xSl5lWhVlWhblvrGRtaKd6wPe4uzBpXWjvlQbNJqv3DCnbEhmhIxwnKTWAgq7NrfFT5tFGjZZFBSnhOE4lsmJn9Xv+V1fmnfWSyxlBQM95HvMAAEBS0Krvca9ZZ9VwDCcp5RRCgHhrBdoFAICTTzcelVWkJjJCZzAixko5f0nRkN6zUd4+fcE+le4Ue8FagGfzXu36pWln3Gyw2vBu9VrbZM1v/UXhjyp5f3Xn9fodagAFYymhvVmjFbNBawAAkO4Ue/fcHLyLrh2zRpWW/vaPV/+dUac1SUHPfvLz6f905ydjvzZ6ynw+0yn2x9KkvVGjZaNBa4ms0Om73CmueIsrc+6U2WwFWDCGF94sqWFKOdUCKChrKGg0WBWjlzSsLoq5QgAECcqCCC86HRECheUZZ7xzQNoUipFkbsGbnj5vnYqmhJykQBUiiMIxkgzHcUpWkQYAKCIM8VrRE8UYEs9hTrpT7I2mhLbjTzYe7N+s7hrYpuz5/t+U/sfJZxqPpTvEnsEd6r5Mt9TvOswWJShDAAARoPDhX0p8sG+zvMuosyomkDzwd6X/ef6YcZgDAGplWvjc72X/5PyLxjOBIA73bVJ2EgGOH3x/eDUYwTHXZlY8LbTnFr2Z1QV3fdI8JYjoYfDFl/cPY9RlzHcAAABhQbaN8owaTG+Jt239SK0w9WRx8fRXIYAwGO85BCFEEF1Wqsg5hYgInFEPwJf6FgmiJqh6mjPqK4n2XaCweNy3mgU5ktoICZE8o76ixLNbiBrM+LZZUZMdj2mZnkMAIqwk2ndhUQ5Q124SWYtFh/cdwJIa5ZwzajXzntHIyZHkYHTwmk9Rt7XIa5VXz3uNylygbcNNSBBU5qKaqIc7ECajQjDqKMmOayDEBAmSzjlnVnHpFOCc+bZRwrISkcKJQbdenqKOXaO2WfaM+gqjLekCogSSELe+99oiH2wtM7wkNSFHUsNSOL7BLq6cAZxzQQ93cOo7RA2mOaO+lV94QYqkhrVs73UQwocARIDIShRhLAHAmZbpPWTmZp9nnttUk+3XMEY95lhVLdNzsDpx8n4AwKsGeBh1zYvOWBxw166vhpMbbkt17/lsJTf6YGHhxN9n+g79hqSE2iDEAvwpdJC9PLjz0wQRlKAo61mERYUxz/Zds+y7Vpkx30OICHqsa78e7dzHGfMdqzJfL80+41pXJSp+GFI0Mah19N/IGfWbc+OPqm09hyAhMhEl3W/WltRM515OqWsVlk75jeqC16guMN+zAHi5SyJ1rNobzd4B4EcI8GBNT3m18iy1rSqECAFGPaeQG5HiqaH8I9/5V+bc1OHLMz7eTjijXmN+7FExkhhwSitn1XTXvsjw7l+ACGG3WpwMD+z4GBKloBzPbMGyFgcQIqecu+A1qgtOtXAl7Yl3FIgw1nfsvEfKtu1wlpdOWjNTh4VorJcqapRZZtkrl6YB5wwrWgys9TtWlJC+45rbvXJpWojGetx8bkSIxvqY5xpKZ89BJIpq/cQLf8N93wls3nqvX+qfghA+vJ6BwhzXYI7TpGazCNDLL/ZIkgP6jl13+vX6EpLkoLOydEqMJwdopTyrdPUeQrISap4+8Q+02cxrm7feqw1vuhsi9PWWS0zLBg5pWgwSogAAITOMYvPCuX8SwpEOffvOj7ul4qRfKk01z5z+mphKbfIK+RESifa4K0snSTTWF9i05R6vUpkzzp35ptzdc0hMpoYBAKcAWCsVYZxR26oACJFXLk1L2fadSm/f9X69vsJsu25cOPtPzLYqYjqzRendcBOSpCeZ4xjMdQ0kCqoQifVASQ7Cte/NPc9ijtPAup625+eONM+c+irERNR37fm00j94q1+vLgmxWL8QifaA19DWWEePdu7p3vKBP4IQv6rTiNXIXZg9/+C/WRdyvcrbA0JYyG64/vPRzPBdr6YFxjn1CvMnvpKff/HL71UxyKtc5d1OcaJ6JphWO0VN0KO9wWEtIWeIhBXw9jpFvwy/Xl8FALypg9tMp9inBnBw4071wLljxmEiQEELojDnnDdrtBxJkAwmjIgyUkdPmM9OnbNOJNuEzvlx+9zNH478/Ec+l9w6esJ8bmXemeKAX8xoZRRQjAFOd4q9nsOcYJjEyJob2TrZbqnv7k/HPxbPCB2NCi2FYiRp1Gl1/LR1TGiVL13MyNCCOMyqtOy5zFZUpI2dMo+WVr1lAAAIBPGzd34q9utLU86I73Nf0ZCOMET7bwttMeq0mlt0Zzbt1q6bPGu9aLdW8oFjMeuWj0TOZLvFDZxxRkQoDu5U9z/9vdr9Rx+r/9Odn4j9WnHFW4ilhPaP/1bqC/tvDz01P2GfFxW0bDXpm5LF5Xvc8Vzulla9BTfMY6qOLup+cAaYazPLsZiZX/RmMIEXx8mMcSbJSLVNZixNO2Pr/VQv+YVy3l9OtYs9uUVvJhzDqYtnKwdAklFLpN5iBgAACCKSJAWpkowUSrnfqNLyxBnzBQAAKKx480O74IFmlZabNb+ialgHAEA9RCKd/fLw6eeMx7NdYn8oTpL5RXd2Xcw52y3NLM0649Tnnutwe3CHuu/YE/Xvnn6m8djW/drNnAFaXPWWPvqriX975ydjRybOWC/kl9xZSvkrxMs5ox6j1AGgVb4fCLftKCyc+Eo1P/GI1ciN+J5TV/XkUDDecwhAiCB6ud03xEQiipagjlWjjvnS9jlnTrUw1jLCUCL544//V99s5iIbr/l5QQu3E1VPYiWQEoORLgjhCJaUad82i2qy4xpOfUdJtl8DAHhSTXftpY5RssvLZ4VApKO5PPUUAAAoifadVmn5DLXNMhJl3ViafgoAzr1IfUWJZbdS26pI0fRwc3nqKe65hteoLTrV/DjnnIqBcIfXqMwZq7NHrNLyGQgRFvVwO0KYQIyF8sjRv67PjT7IGWNYlAKCFsr6ViuTHCKEiRJI+FazwNfcDrEo68ldN/2sGIr3MddpMt9pVsdP3m+XVs+JwWhPbOuhXwu0b7iJuk5DTXXtM1fnjlDXaTDfM51qYUwMRrup6zRyxx79fYAgTmy/4be55xpSNDUsaMGM0Cr1eFXh+VaJVktHi4hKRFLCHfMjj/5erTh92DaKU4IUSMayW+6RlFAbREhY09K7yk84mEiBVNfuXxg++Nn7BFGNQYgJ54wy5lnU98zhA58pDu79hB8It+0U5WCWA86p59Qb5bkjip74vNV4982X3y2sGzu1su7ksLW68KKS6tglhiLdTik3kj/yyO979cqcbxult0Pe4/Vr8Iii5paLk40Lp78up9t3koCehhgLjQunv2HOTv7gnS5T4YwxUY88IwYiHYIe6WK+Z4uR5JBv1JbCQzs/HugauA0RQW4uTDxRGz95f2vFgQPOqGsXlk6+k22/EkgSA2IqPdw8d+ab9tzsc3JP77VCPDFQOfz4H1LDKAIOOESIWNNTh5llVSDGOLhz90eU/oFbAITIy69ekNs799SPH/uSVypONY6/8OXItTd8Xu0fvJUazQKznbrSt+Fme37uebCWbohkWRdi8X4krrlpYSwAAHyIENI2bb1DHRx6H+CceaXStNz5/7P33tFyXPed5++GytU5vpzwAnImCJAURVIiKVKmTUpWtOljjbPHccY+3vWc8Xq8a3u9s/ZYWlv2+NjaWUuyLdnKkWLOBAgix4eXc+dUue69+0f3AwEwiBxKFCm9zzlF8KCqC9XV3VW3vvf3+34HDzaPH/20v7Z6pvnC8/8YO3Dol9TBkXdwq1XkrtvQhkdvcaYvPQoAa4AQRrKs+6urZwAEx7Ks15567C+8pcVjrizrxDRzxsSWu7nrNohp5rjr1LCup5yZqUeDYuEiolTBlCokFu/DqhJhtl2WkqlhhNAJIYRYtwEFzkKsqFFtaORmrChm7cnH/yKolme0weGb9PGJO1snjv2zt7h4FASAFE/0A8A5RCUVybLBHLvCXbex/qPjvmc1jx/9LHOdGnecCnDOARBImewEjUa73cX5I2Es0afku3fCaxB4EMI43bdrUzQ1dBMLvWajNPVo6Lu1aHroJgAAu7F62kz0XadHMhP10vTjAPD/fX++WRu8HJjKRiTRtz+SHDjoWqVLrerCEULVaDQ1eIPdWDsjBA8jyf7rCZXNenHyQXgFw+INNtjgaohCVdmU44hg4jfcSuiGr1r5ErrMpQr5aiSv9xcv1k7aFbeQGIiM2WV3FV5aGv+2BWGEq8VgZWynfmBsp36gUgiWrQaryQrWJk/YR6wmq1EJyStz3qRjMSvXK//3u+9P/1qmW+o797z1VKPGytfdFrlH0WPGpVPO85E4/WKzFlYRAiQECASAZBkrtXK4ppv4cpx7ukvqff8vZ3+rVgzXGhVWFEKISiFYZqEINu/Vb5AkLD//aOPr69sTgqgeITFFw7oRI4nKWnDZFN33hCvJWG3WWAUToLqJI5QiKZmj3WaMJKwGqUUTJN2ss+p6+xYAQKUYrizNeBclGSsACGW75X7OBFdU/FgqJ/XsusF8V3ElmD/3gvXU4Li6fecN5ruaVVYaGFM/tzDlneNvcOa9WWPVIBBeJE5SqTztcW1+WThioQj0CInFkiITS9NcGAj/ynWtBqtKClLCQPixJEkDAIShCPe8IzK7ea9+IwBA14CySdOxCdCuCFqc8s4XV4KFWIpmAAAwBqxq2IglaaZ/VNlSLYQrYdCudmKhYDfdHfcVFemXTvtH+0fVrQAAyRztVg1sxlM0a8ZJkjNg64IRAIDncmfmnHtC1bGpaMJI5aUeKiGpXmWlb3668td3/VTyVwhF5NiTrQcUDes33xP/CCaInni69ZCs4G9embwlBA+FeLE6cuH8g39UL156hHcqJjGmsuh0wiLAGJO2/QG8uAPBPKeKCJE5C6/aLw98G2OqCMZ8TGU99Oyalul5LD6y431BozKHCVWpFskBQoj5bqMxe+ZrRFETIAQz8oMHqWqcTG49sI0oeoKHgRPazbXQbhUAAIzu4RvlaGLQb9YXnOLiC1qmZxfVzCzVzKxkxnqJqifd8soZhAjlHdP40HOqVNGTWNHircXJh/1WbQmgbRRtr80foZqZRiB4dGjbPYLzkKrGEeZ7Fbh63Cd44FsIEKwLPFIk3qfEMqNevTgpR5KDod1ccyurZ1jgWYiQC36jMmv2broldFolPTdwHdUjeeZ7TcFCXzAWAMK4bVFAFL9ZnY8NbX1Uy/Ts9huVGcFCVzJjvfAyZs7rcMF8Ae3fie/Ul6aO/9svBb5dWZ+IV41UZr2bGWMqbwg8PxpoZnq0d+LW/5VKWqJRnn3KtSszGEsalZQIoWpM1mI9GFONcxZ4dm1e1mK9VNZTseym2xK5ifcghC79oJ/336oQVU+0Zs9/W8327tZ7Rm5yC4sviNC31574+v/SWph6VFyTKPj95jX/oBGhCnfsClHUeNiqL5tjW94rJVIj1Wcf+4u3yocdWPVle23+SGrnDb8iReJ9XnntLPe9ppru2ubXK9NqMreZqHqSB74lmFMxekfe2Zy78ADz3Fc1FvtBgChVESYS99ymOjzyTm1w+Ib6M0/+VWcmcR0GnV5TKZHs10bHbwcABIz5SnfvHuvcma/6hbULnW1DtX/g210f/dl/85YWjobNxoqcyYzRWKwHAGqAEKbJ5LAIQz8ol6eQIhuobRbnEN1IG+Ob70IIY8HCQMl3bXdmpx/3V5ZPdj77UM7mvtG1//qfC2vV+aBanZWSySEpmR6BdYGHEJkYeorGEwOCMT9s1Jc7r7WkROIfpXRmlOhGirtOVTDmS+nsmHX29Jc727ja8KZn03ft/MmwVp2TEokBACE6CSYeIIRpPN4fNmqL3HObNBrtrj728J/5hbXznXNzIXXn3X+KZcXg4CNmtQrYMDMAcA5RqjLLKhLTzGJFMaFzQxScM0TIjJRIDhnjm99DItFu7jgVtbdvHwgBIEAw2yrTtlD0WhDAOUMIIae5dnbm5Fd+K54bv1OLZjevTj39V5W1c9/oGb35P3SP3PjrZrx3L0L4M5fLazf4/iOACxBccOYX51/4dHn59Bd6x275vUZl7pm509/4Xc5ZML7/I5/Vo/ltkhrtgg2BZ4MNXhZMMJEiSiI2ktye2Zm/6fr/7dYdzGd+6IRNqlJj8/27Ty88NPU5e7U1x9lLr3FEIlIkr/XEByJjVCZKYiAy1r07fWNtoTUJP0QCDyBAA2PqtlopXJMUpJ593n6yXg6LYSB83+WO63CrUWElq8GqAACFpWD+i39X/K/brzfememW+vffErn74gn7ucAT/pZ9xo1GBMckGf8VoUAkBal6hEQra8FKRkFqPE1zAHAWY4Tuvj9138hWbe+lk/aRpRn/Qq0cFi6esA/fem/i/sAnXq4PD4X+i6KG7wkXAERpOVhYiHln10UKgHZNldVg1cKyPz8wpm4LA+FzLrjvcCfwhVcvh4WlGf98vk8a6lTC+ABtk2OrwWs7Dmm3zpxzT2DSjlf3XO7KCv7Mypx/aWizumvLXuNGQpF0/qj11KZt+r57fjb9m//6ycKfwBu8/jZrrGw3WE1RsXbptPNC34i6mVBEWShCxgR/3y9klhpVVvIcbmd75cH11+GObw0miPgedxUV6+vrKoVweWXWnwQEKNsjD2gGjgAAYILoyDZtTyRB0/VKWAAAYKEIA0+4jInwzBHriYExdfuVlUKMCbY8518ipP13QgB3bW5xLrjVZPWVWXFpYFzd3vlciwAAlCLarLFKz5AyZrdYw24yhgCQ4EJgjI5/7q+Lf9z57gz0bVI3n3i69VAkRpIHb4/eSyWQCEVfeDE5TYgrW/TNZN8BTGQz1b29Hf3evVXSjNQIAADCRJZkI3Xl+RWcBUGrvsRZ6DHPufybFSz0hWCBW1k9oyRzW7Dc9ufxG5VpohpJBAghKqlEUWMACAnOmBLPnIyP7vIxlXU9N3DArayeIYqeYK5djvSNvbt68YXP8KDtQcl9r+kUV04Y+YGDfq04yUOv5TfKMzwMnNCqLwkBgoe+3RFhBHOtMoAQarprBw+8VicBCwAAOi1i/5LZ/c7fDl2rxMPA0TK9uyP9E3ekd9w41Zy/+IDfKE8LzpgQnId2czVwWgXC29W9cjQ1DBhTwZhHjWi3XVh4nodtcVswFiTG9sz59fJUOw9S0uVocsirlSYFZwEPfcurrJ2juplbT/+11xaOJMb3/lToWCVEqIplNfaqX3Ih+HrVI6aKEc+OvZuFgZ3q3g4AAIncWI5KehIAgEhKFNOrfZQ2+OGEykZKViL5MHBqhfnn/0dx4fg/YUxkTGS9bZhuZqikxlUzPZLs2vrjVDHSGCGEsaSpRnKo0475iq2BP9JwzkLHKtqLU48JwZkcSw4BItQpLp94s8UdgNcTky4EFyz0gVCJ6Ga2deH0VxLX3/yb3H/r+Nd0HsqfwJJsJLbsv19wFpgD47fbyzNPN2fPfzO5/eAvIYQJlhQTqSThVdbOu8Wl4z/o435ZECaAEKGxeI8IQw8RIrNWc+2VNqeJ5BDRjZQzdfEhrBtpbXjk5qBcunTlNqzRWPZWl0+GzcYK97wmkpWI3NW9EwDOIIQQcMGY1Soyq7kmR7p3ItouuyXRaBdNJAadqcmHsKJG9NHxO9qJVy8Ke8xqFb2V5RPt1ia3gShVle6eXQjjZ4muI0AIc89rdt6LJBi/PDsU1moL7tzsM/r45vd4y4sv0Gisl7tOlfv+5ehA4Xst4XkNLCsmIERoNNoN7XQtD2FMsK4naTzeL6czY35h7WxYq869uP/qgmA8kFLpUb9cvEgMM8tanRu5EAxTSROEWqzZXBWdQQ2WJNWY2HKHPjpxJzaMNFYUs93D7Vvu7PQTSnfPbiRJWlirvcSE7eURwFj7/Uiymcn07f3p3OD+j9nNwtnK6rlvSIqRIlSNAQCS1UieUMUAgMZr2/cGbxTBw6CdGoKpamZGe8dv+/1k15Yfmzn5ld/2nfqykejdC20zQkVWoz0IIfRWEbY32OCtgmTK0Z53DL47d6DvjuhAfDyw/AYPuE8kIjfnaotyREnoWbNv031bf3nuW5OfRgidvPZ3lByObhm8oes9VCFqtFsfJBKWA4dZvOMx88PCC483v2U3Wb1VZ9XeEWVCN3Dk0kn/eUXHhm6SqBkjiURayk+eso8QinxCAVWLwSqh6POKho3bP5D8uYExdfv5Y/YzF47bz/UOyWPpLqmvuBLMhwF4vsMdABCYINoRAgAToKks7fZd7mCKaO8mZfPhhxtfqxbDFSojOZaiGUKRlMpLvRgjxLkQ85Pu2U3btb39Y8rWoQl1J+9EmnMuhCQhWdaQLklIFgK47wsvDESwZZ9x7oa7Yz8pAER5LVie2GPcsPdm985sr3zCjJLEgXdH9xCCyMlnrIdzPdLg2gKfQQghKiGJhcI/c8R6YvKkfaRvk7L5Q7+W+8+pvNQ7ddZ5YWSrumdos7YT3qDAEwY8+NCvZZcBkJAkLOf75aHNe41DGKMnOBei1WA1I0riYSB83cQRSUZS4ItACCHsFm9YDVbTTRyVVayt79NpsSaVkYwAkCQh2YzTJEBbzMIEaKseVmIJkkYYoWiclOuVsBhL0Wz/qLJVM4i57vWDCcI33xPXORccIcC+J1whhCivBkutGqsks1J3cdmfU3Vs3HhX7Cf7R1Xuu9zZvM84lM5LPXMX3dOqhs1EhuY4B04lJCEMfHXem6YSWlB1bHzo13J/MDCmbp855xyfOe+eGN6s7Tz5tPUwdFp+EMK0M8EHAAC9Y7f8bsec+DKYSDoAAMJEonJbKLgMwlhN5rY45dXT6AoPHoQwoVokR/VIHgFCpCPwMM9pdF1/V5UHXhNRqhFZi0PHFD9o1RdDu7UmRRIDRFFjyc0HPuaUFo8BQiRo1Rfd8srp9WuIFEkMyJHEACCAyODmu+y1+ecEC30eeC2vVVsIWrVFt7p2jgdeC1FJEyz0JD3Wba/NH6aKnuTXPIQ5paVjpRNPfCIxse+nReA7nIWeW1k9q8TTm7oO3vXHpZNPfBwh9CTVTCRF4n089G3oTMwhhAl0zllot9awpJio7fHIEELI7B0rCc6ZHE0M+I3K7LrAgjCVqBHtIqqeAoQJprIOABA6zQLzvaZXK14kihYnshaFV6HdNtc+97Ia6Rrede9fwRVVdIAQXjfHJlSNYiLrr7CrDX6IQAgQIIQQprKixXsRQhghQmU1kjdiXTui6eF36NH8NiqpcdeqzKzOPPvfo6nBQ5HkwEFClQhum3FvCDwvg18vT0c2bbvHWZl7jpqxXuZ7TaJoMeCcIYwxCGj3vEqyiQiREG4vgBABIZgQnIkwsJnnNL4XljevWeDhLPTkSLa7deHMl42hTbfWjx/+lLY8dIPWO3AAIfycEPwt8bAjGAsB4GtUjxw2ugcP8cC3sKxE5Fhy2K+Xp71q4XzoWiWvvHqWuXblLfuQhhBCkqRy37dZq7mKqKQBQi9rgtZuodqe4b7XwqoaQ5TKwAXnrnPVbKdgoe+vrZ4mppmjimIy2yrRaOxy7CiWZUMEgS2C0MWybCCpfcEnhpkRYWAjWTaQJGkghOCOU73qIBgPg2LhAk0kB2k02sMcp0rMSA4Qwp33ohFdT2JZMRAh8pU3fSGE0EdGL4qRTbdI6cyonM1tbh1/4Z+uOvYwdLnvWVhVY9x160iS1M7NEoALHlYrs8IPbBAgeBDYVw1GMMZE0xJIklQaiXZJqfSIfenigwAAwvcsZrWKQb22gGTZACEEwhgbW7bfFd27/2edmanHaBi4bqU8TWPxPmbbJX1s/A5vaemYlEgOeEsLrylFRQgh4tlNLSGEUIzEYKpnx/t8t7mKMFG6R278tVhm5J1mom8/JlTFRNI7Jc8bAs+bBBfMFzz0ABBO9+z4yWZl9unAa67p0fy2SLJ/fywzcquiJwYAAKikxTo+PW/Na8cGrwuEMUGAUCd/i6/HoqPOIAi1b75cCB7yDVPnV0TSZXPT+7b+cv5A7+21yfKJ0qnVpyXf6VqRAAAgAElEQVRTiQcNt2L2xjaZfbFRp2gteXW3zEMe5A703m4XrSW4JvLdzGo9AABUwerCkcIjWkxOqTElyQL+Q+V7tTDpnc33ycOFRX822yMNDG/V9gyMq9vrlbCEMEKtWljpGVYmymvBUiJD8zfdHf/ge+9PXxjZqh22GqzGmQgXp70LqZzUoxrYTHVJfZKM5NDnwR0fSk2bMZIKfO45LdbcfZN5+y33JiQ9Qr5RKYbLnsOtaiFcGdmm7dlzk3kHwgin81IvxkBqpXDVtXkrlqI5QlERITiWH5CHx3bqB6qlcHVij3GosBzMb9ln1HbfZOY1nZjRJE1rJo62aqwMADBzzj0xc9Y9PjCmbps+6xzftF3bd+/Pp39n7qJ7ennGnwx84SV66IAeITHBBLtwzH5Wj+DofT+f+R3BgZ87Zj+9MutNGhESn590z2KMcK5XHsz3y8OzF7xT34vzP3veO3nrffH7i8vBfK0UFm56b+xDkgTy4IS6tmWvQQAAcS44JojqJolBxzDZd7mTzNLuVF7quTJeXQCITsqYEoYiWK/gUQ1scAYhZ8CIhGRJQnK9EpZGtmqHr3tX9J7QF56cROkb3xv/4MQe4/mdh8xI96A8Wl4NF2MpkeFcMCFA+J5wnvpm/fPv+8XM7xWW/NlqIVjZd0vkvb3DysT8Je+s1WBVzgXvGVImCAVy9oj9pOdw6+AdsXsndusHb3t/8njfJvVY4AuvVWcV1+FWplvuT2ZplyQjZb1aCKDdSuW2SpOhb1cRpkq7oZDI0L4s4vX2IRb6Fgucuu82r/KnwlTSiaInMaUqlpTI+m4xlXTmOzWvVroEcQB0RWtXYDeWeeC15FhqBMtqBFBb4OGh72R33zKrpvLbEJFUQF6ztTD5sBxJ9Pss9ALrxap2e3XuWb9ZmROMeViS9PKppz4ZWI2VjrciQghjzkNfCCGwJAspEu8FjCV/pTKDJeWlFSxCCGt19lkiq2fUZH5rfHTXB4mixazl6SdC167ERnbcZ6/OPYcIkYlqpBEhMwgrMgCA36zMYkWLcxZ6gVVbVFP5bXIkMYgwuYRlNSJF4r3AWeCWV09LZryPh74FIASmssFcu+rXS1NSJNGP2hOZIIQQuf23zzHPrgjBGZGVVxV4OAsdt1W8IGvRrrb1M5EAdT5BQAQQIM5DHzh4gdtcZeFbr5Nhg+89nPNACCEwkfTc4HX/TjMz45jKhmakR7VIZhxhItmN1dNLk4//39XVs18HANAjH/h7AECSYmQwkTQA2PiuvAxOcfkEc6yyku7eAYKH3PcspWfoxsz17/595jk1LMkGlpQo1YzUVQIPxgQE54LzkPtey1qaeQIAPvFGj+c1CzzMahXldG6z6OQfqt19+2pHn/nb6M79P+MVVk4hQp/4QZQgXQnChBJZiXIWuiIMio2pM19uzU8+hCVZB4wpCMGZ59Qupzu9lRGccdsuh7XqPPf9pjs7/QTRry6DfXFbIbjnNaVYrNdfWTouQuYBgJDS2TG4Mp4QE8osq4QwplImOxE26kvrszRCCMEcp85sqxTUa4s6ldTOvzfHPbdJDDOLAASzWiXBmS9lshNXGjQDxoT7XjNs1BeVnt69Yb22CBgRaKcUI4QwYY5TI7qRxlosgSi9ypRPMOYjhAl33ToiROGeW79mfQAYE2JGsoARxZJsQMf1nwe+DYCAOU4VCKZYliMIIQqddCui6Unm2BVveek4jUa7EaUqazaWAQCQJGtSNrdZcBYgSlUABIgQObJz94expiekTG7CmTz/bUSoUr9w7usAgNS+vutYs7ECudyW9fLZ1wJnodeO08TYd+tLCGFJ0RMDLJbfVlk993WEiRxJ9h9AmGwY3r3JCM7ZyK77XAAQCCFsNwvnVSO9KZoaONiszD9bXDj2mfzwoV+VZD2J8dXf3Q3enlBZi5nxnj1dw4e2UUmLcx76gdtaTeTHV0PfrSVyE8lM/977NTM9FvhWqV6celjRYv/oOfXl7773Hz1yB3pv775p4J7yqbVnACEU6Y9PSIYctQtkwa06BR5yH0tEoVr7ltWcq53LXdf7bkTwvwj2YuIm85i7eGTt4b4DuXe5Db+CEELxgcgoucYo+O0OYyK0W6wxvFXbzRmw4rI/b8ZIwoyS+KVTzvOYACmtBPOCC57tkQfGdmsHjCiOR5MkM7ZTv85zuF1Y9ud8Vzieza21hWCmsBTMAQCceLr58JZ9+k0uRVK1FK6mclLPHR9K/lxh0Z+ZPOEc2XnIfJfVZPVTz7QeSeak7liSZi6esA/vPGTelu9XRzBCWNGwvrrgzzzz7foXY0n6oG6SKKEgySrW+keVrYXFYLa8FiyVVvwFVcPG6DZt35kj9mMAAI7FWrle+a/v+Vj6t0a2aXsrq8GSHiFxghFJZGgu2ysN1suseO5568laKVybPuceN6MkPr5HP8hDCAWAuPme2EfiaZpbnvEnEQLkOcJu1nhl+oxz2TORSm1RgjPgHTEGE4yIAAFCQDt+4RUm8S4ct5/deYN5m+dyp7waTMbTNLfvlujd9UpY6htRJs48bz+hmzjqWqylGtgEgBKVkJzuknrLa8GyY/GmrOKrvGdCX/iVNX9ZM7DZSdECM0qSZowkoymacS3elBWkAoA3e949acZJcnBc3R6GIogmSHrTdm3fxeP2c+W1YMmxeGt4q7bbjJIEQoA4F0LV8ROZHnlw23XGO0Kf+4XFYBYQQrKC1My4ukPVsTl91j3WqIalk89Yj3gudz/6W7mtozv0/YQi2j+qbN20XdtXXg2XasVg1feEa7d4o1YK11qdVsD2+Qx9STE+Xi1cfAAECM5DH7UFGkNWo12qkRq26qunA6+5CkKA0yqeX38tQghF+sdN5jkVIqsxHgY2QFs77zp4twsIY8mI5tsPNy+OcwTnTM/27SOqkUREUtEVYQdueflkfHTXB7EkG0GrtiDHUsNUNdPVi0c/e+X5b8ye/rKa6t4ZOq1ifNPO9yfG9340dKySZES7ABCWzFhPY/bM1xAmX0eEAA8D1yktH5cjiUHAV4+5qGokIv0TB7R09xLCZMkpL5+kupnV0j27AquxwsPAMfKDBxEhMpaUiAh9G2EiUc1IAwD4jcqsV107T1U9FbTqi0Z+8GDuujv+oDl//ttYUiOSGe0OnFYBE6oiStXQaq60B+KBiwhVqBHtaldXvBh4ggiRtWzfXqqZaaJeUzV1DaFvl6eOf+nfK3piQPDA5ZwFCGFCqGKqRnKIUDXWqi0e5SxwOAtsz67Ovtr+NvjhQPDQb6fcYaoaqRFFTw6vr2OBU6ssnfzc8uTjf2E3Vs8IIVgiP/4eM9G7ByGEJCWSW6/c2+ClcN+zzL5N/5S98T3/BwjBQ6u5KsLQi0/s+YjgzGe+Z4l2ahYPmrVF5jk17ntNOZ4ZDRq1eRZ4LUyoGhnefDe8mQJP2KgvYlk29cFN73QXZ5/R+oYOtSbPfr159sTnkwdv+R19aPRd0a27j3vFldNBpTzFw+A1lXAhQigxzCxCmITN+tIbiVaXY8nB9J53/kfBmc8cq9Sau/CAvbZwhPlvP2Wa+77NPa+lj43f7i0vHXOXF4/JufxWhNAz6wMWhDFGkqQJISw5nZkKG41lGo31BrXqHGs2VqP7DnxMHxmdd5cWjiJMqDGx5Ta1t28/932rXckTyTHHrgAAgBAcUSrTWLyfxpODQIhE2tU9L4S12kJYqcyQaKxXVMrTQaUyE9m15yNBqXiRaNrTAAi0TWO3Kj19ewVjob+2epboeoI7bg0AeFuAchuIEAkIkbCmxdpiyotgXU8KAIEIkUGA4OHVKUWCsSColKdFEDhKT99e4CxcrwISQeAwx65I6cxYWKvNy9ncBDGMFAAsIkrlyK6975Uz2Ynoddf/PFbUSOvk8c+tR9xiTUtAGHrc9RpKV2Q3QogIjAnW9ARWlAi3rbLS07fPnrzwQFgpz5BorIdEonm5p2c3kiRVymTGEKWyCL97qlK7AiB0MZENVU8Ol5dPf2Hp4qN/1qjMPo0AIc1Mj0WS/Qcw/tGMrPxBw3nggBAcECaKnuhfmnzsv9aLkw/ZzcJ5PZKdyPTvvV+S9SQmVF2fXdzg7Utu4Lp/1zfxrv8ECFHBQ6ddOSfrCAFiLHQBQJArBjOx9Mg7CJVNjMkfblTyXA2RibLnt2+8015tzTVmq2eJQtXhHxv/mFdzSzxgbq3srLpleyXSHxsP7aAZHYhPNGaqZ8yeyLCW1nsAYGF9X+37AKLLx0pPDhzK30kVojo1v8y5+KHyJONMcEnGj9eHw4lUl9w7MKZsy/bIg606q2R75cFklnZPnnKO1KusOD/pnjl7xHrSiJL4ln3GjQAAT3y18c+yirWDd0bfV1oO5r/0D6U/d21mAwCszvvTW/cbf7f3nZG74imc5RwYoSAJDvziCfvwsw80vtQ3pmxJ56ReKiGptBosIgRo9oJ7Kpqk6aEt6i6EgWR7pEEA+GK9EpYiCfqvfSPK5vJKsNhqsGo8JeWsJqtPn3WP33pf4v5ERsqrOl6v1oC1RX+OSuh3ugaVTVv36TeN79av10wczQ/Im+YuuqfOPW8/tbboz8yed08GHvc0g1hHH2l+vWdYmegfVbbm++Xho482v3nxpHPkulsj703lpd4H/7X6qcUp71w0SVPveG/8wz/9H/P9CACFgfA/+ls59tO/naNEQrLgwMtrwdKJp1oP3vHh5KFWjVUWLnlnEQK8btJcr4TFR79c+8zguLIjDITv2ry1tuDP7Dxk3tYzrIx7rnC+9dny34zu0PcbERIHAAh84e04aNw6e947ZbdYfXHKO3/lZ5rMSz31clhAGDClSAIAMGMkEU3SdDJDu5o1ViZS++8ZE0yS8RP1cljIdMv9vsudaIKmBQd+5jnr8YN3xu7rHVImwlD4qBPj7trcBoC/TWSkL43t1A5s3qsfyvXKQwNj6jYWivDII82vFZaCuZlzzvF6OSwBAJx93n7SjJGEZpDI8BZ1d60UFo481Phqrk8e2vMO846LJ+zDj32l9tnAv7pCLvCsMgA89fq/2QgRWUtgWYmyRml6vfIcYUy6D/2YGgZeExDCmErauuchAAAIzpzy6mmFMV/SI/kr9+iUV075jfIUVc0MlmRTz/bts1ZmnmKufVWKFPOcmmREu9r7BsCyGlP1aFdoN1aslZmn5WhqCBDCaP2YECZKLDWCJcUULHAQxmS9NUKOpUZ6bvqJv3RrxYutpUuPUM1IS3o075ZXz2iZnl2IUDVo1RYFYz6RtRimsi5Y6IsXj6WuZXo/1X3o7j+leiTvNyqzRDXS0cGt73XLyyepaqblSGqQeXbVWVs44jXK0wh3WuMED0EAR1TSxBVeSDzwW0GrvogQlhCRrja2voZOV8VMZ9lgAwB48TmEYNkEaAuyQnDmNIsXVqae+kRx8dg/y2o0n8hPvEc1UiOpnh0/KavRbgAAKusp/F2+dz/KyLHUYGLr/luIoieobqSpHsnywLOcwtIxEJwRzUjbK3PPYUk2iKLFmefUQqu5hhUtDphIzsrcs0oyu1mKvmZv11flNQs83trSiaBRW1DyPbta5099iVmtktrVt99dnn+uYrWKsZ37f8ac2H4vcBEy1650v//+FebYFe44VebaVeA8BEJkTKiMqKRiVY0TTU/2fuQX0kTT02GrubL6pc/cD68S+/fdQJgqod1aw4TIQnAmRRL9qLB4FNpmxG8rhO+3gmp5Ws537SBmJIeopOpjE3fSZHLI3Lz1GR4GdmTP/gE5kx2Xkqm/Cev1OevC2a+rA0M3iJD5gBAgWTKSt9/1v7NWYy1sNJYQlbSgUp7mvtfijlMlhpnxlhePAbRN8dyFuWfdhfnnaDzeJ+fy29Se3j3ENJ/hrltsnT31JWPztntEyPz2rAtCydtu/89hs7HCGs1VwIiEzcYKd5w6d+wK0fSEt7J0HDjnQghOzEgeECJhvb5E44kBJF1zkeDtFi/BmM89t95J8LpqPZZkjSRTw8L3LKxqsfVHbMGYL8LQD5qFC9z3WxqlavyGm39T7e3/5+je/XuMzdvucWamn2C2XZHi8V5nph2pCQBAVC3GXKeGZdkA0imV4zwMysVLIvAd7vuW0t2zm66tnJIy2TF1YPAG7rr1sFyaQoAQd926kuvahhXlovB969Va/oQQTHAeAAFRL009unDhoT8W7YQJgSUlui7qIEyVTjn0Bm8igrNAgOAgBF+59OTH66Xpx0AIjgBjhIi0rui0e9U39J23M4TK2vh1P30rkdR4Ye7w36/OPPd3QnBGJTUqKZG8pJhZKmlxSTWzkUTf/nb7JFHMRN9+STGzALBRxXMFkf74mNkX3cRc5mR2d9/MA+Y//2dP/HJjunrab3k1HjAfEUwzu7rekd3bc+vCI9P/mtqaPYAIpmZPdASuEHiqc82Lkkp0t+5XIjm9T4lK8ZUT5Wfcul/5Ab7F7wudh+qTioYnF6e888880PgiAADGiLBQBJW1YNlzuYMxOvkv/0/hj2Ipmu3ql4eTOamnVg4LLBTB1/7f8l9OnXWOVwvhVd/Jc0ftpxenvQvxFM0iBAgTRJdnvUnGBJNV/Nl4muY0A5uEIin0hV8rh2t2kzUe/2rtn8woSTAmQqvBa3/7h+39NathRZLxEc3AZhiIQFI8xXeFI8mh8p3PV/7Bd4RTK4dX+QR2kqHOYYIuPPdg88uROEkpGtY9h9vl1WDRarLLbciOxVqyiv86lqSZVJ729I6oE57N7VYtrBx+uPHVtYVgZmnau+B73Et3yZltB4ybrQarZnukQVnF2rmj1lNCgOgIKyLbIw/2j6nbNm3T99pN1iASkhECtDzrTwKAz5ngVEJHG5WwdN1tkfeObNP2FpeCuZV5f+rsUfupbK88eMeHk7/AAghOP2c9BgBw+KHGV9cW/RkeChb4wiutBgvw8fbxVwvhyr98ovBfqqVwNf5gM2tbrAkAcPLp1kP/16/Pf4iFIvAcblt1drl1PvC5jwk6U1wO5gAAUQlJviscAEDPPtD40rEnWt+xGqxqN9lVFc3VYrAGAF/RTfJIPE2zmomjIEBUS+FavRQWGHtRDD35dOvh6TPOsXia5nqGlTEjQhLNWlixW6xx6bR9dPqMe6xRDf+nx90vAQEiihYnkhLBhKo88K12VxBGWJJ1I5m7qbUw+TAPvBbzvcufP8KYqsmuraFrFTFNDQN6sYKHeU4tsBqrzYWLD7rl1dNaumunVy9f4uzqiTXmu43W0qXH1ERuwimvnJL0aBeRFFNwzuRIol9NdW1vzp37phCCEUJ15nsN5ntNLdO72y2vnkaEKgBgAwDwMHD8ZnUuaNUWZDPeK8fSm5zC/BHAmCjx7AQiRCqfefbvBGcBUbQYlhQTS4q57rchOOduefnk0uNf/HUt13+dkR88RGQtxlyrLEdTQ6FrV5zS8smgVZ23lmeeZJ7TwITKVI/kNNy71yksPC9HU0OCBZc7DoikRKlqpAQPPUw3Kik2eP0IwUPOApfQtsDTKM8+VV07/y3Pqs5Iipkd3fuhT2mRzASVtAShigkAwDnzMSYybVewbwg8rwBCCEeGN99NjUjeXpx+nLl2RYomBrxK4TzCWJI4DzGhsl8rT8mx1BAPA4dqZjpo1hYECz29e+gGomoJhAnFkqy90W6j117BY7WKmdvee0ROpjcp2fy20GoVpFiiL7Jl533NM8c/b01f+E7Yqi8TzUjpw2PvppFYD1GUKJJkAxDCwDnjvtcAhKnwvRaikso8p25dOPMVOZ2bwKoae6MPTaHdWA3txgqWFNNemX1WhIGzHuX4dkNwzomuf1vtG7g+smvvT9kXzn3DOn3iX43N235cyXVt80ulybBSnAqbjWUl37U9qJRnsKp+luhmWs7lt/jFwkXquU1EJZXZVsVbXjqOJUmVMtkJ4dgVRIhsXzz3TX9t9QwAAHfdBjAWaINDNwEmBEuSZmzddq9goVd/9qlPWmfPfIWYkazS07svqJSneRi6iFJVeG7TW10+CZyHcr5ru+AsQITIzvSlR7ylhaNCCEEMQ4ggsLnjVIGFPqaSijozLJdBCHPPbWBJ0hCVNKyoV/UXCyE4okRBhEjMtspACO34oIBgLBCM+dyxK0hRozSRHAQhmJzLb5WS6WFveem4nMtv0YaiN9WefPy/hfXa4vp+sarG5HR23LWtMgIALEkaa7HQnZt9Onrg0C+yZmPFmbIr2sjobZFde3/KXZw/bF84901z+64PhPXaAiJUjh284Ve9leUTrTMnvwAAi/AqdDzukB7Nb+seufE3Lh8HoYoey28HAKCSFt9INHjzER1PHYQQTnVvu9dM9F23vk5SI7mOCTZIaiSPNhSetzUIERkTqiKEUOi7NbuxepqFvt0uQzazRrxnt2Zmxox4924qGxm7WTiv6olBQpVIpwd9gyuI9MfGnJK9LBlyTImr6VN/c/j3a5fKJwS/+v6rJrSHcvt6b+Mh91vLzemeGwfuWVXpVeczORgZj/WYw3PPrD5w4dvz/wwIQDDxiq02Pwx4bUPkVzQO5u3zWAOAGkJoEuErTMAECM5fem44FxzaCUvFa9f5Lnehk8D5Mlx8hb9fF6TWhbb1ymgLAJ57pdcAtKuVAGCts7wineNaAIAFTNBhBIDWr8tXRqObMZIQAni1EKxKMlIDX3iYIBL6wo+ladazudUzrIwLIXgiQ7v6Nilb7Barr8z5l6gEEnTSvMJAhAAwRSX019/8TOVvhWi3dAkOHBNEEAYMAsR6VHq9HBYB4JFXOTfrwRaXY9frlbAE1/hMvcy5eTm/vbOvdq4AAOwWa8J38cPoiD0lAChhjM6iTvWpgPWsrO/570p49fKUtTr7NPOcqltZOweAAARnzcVLj0R6R2+TIol+5tlVt7J6OebbLa+e9mqlSea7jaBZXbzSZFRwFtQunfgc1cwsUfWUWy2c8xvll1SmdDoAzmFCp5RkbjPK9u33m5VZjImMqaw3Zk5/2V6bPyw4Y5IRVSUz1qvn+68Pmu1QDoTJ5Wcir1q4sPjYv/2KlunZrWf79jGnVXSKy8cFCE4VPdmcP/9te2XmKSGE0DO9a63lqcdEGHherXTxmuO5iDC+1Jg+9UU927dfTXXvkIxYt9+szDbnzz/gt2rzHe9QEJwFjfnz31IT2Qkpkuj3G+UZv/liYIi1OvdM6LSKRNHi5Jox8gYbvBY6FTweAADnLAh9u4IQoXo0v11SIzkj1r1b0eP9LHQb9eLUI05z7Xyye9uPa2Z6dGPc++oEVmMldOwyZ6FXPfv8P5oDY+9yi8snsKSYrdnz35ZiySEe+JZfLV7gvlvX8v3XBc3qPPf9VtiqL0dHd9ynJLMToWuVO1WIb47AAwDQunDqS+lb3vNHRDdSxuiWuxvHD/9DUKvMR7ft+bBXWD4pJTOjlace+j+DankaK2pUTuc2izBwsaYlgLHAr5Qm24ZhCJAk6YhQxZo6/y2/UpxUu/v2Cvbd21xeDeY5VYSJHBna8mOAAIswdJnn1DCh84Kz8NoBYmdW4XK5puAseCsNIpltV6VE8s+55zWJYaSxpieDWnUuKBUnuevU5HzXdiwrkfU4cO66TayoH1e6urZLyfQmrKgRJZke4b7XUrp7dgMACquVGe659aBYvOgtLx3jXjteUnhe0zp7+svGlm0/oWTzuwQL/aBUmkSybCJCFeY061iW/07O5Z+WUplNKpVUta//QFApTcnZ/BZEMA2qlVnuuvWgXLrkLS2+wGy73dONEMK6lqAIgDWba4AxxerVNydEJQ1RqgAmkr+2coaYZvaq9QgREYSut7x0DKtqjLSN59oDlTBwiKbFAYRAmEjENLNBqXhRzua2cM9tYEWNhNXyTOP55/7embr0qGDsslcUUpQoVpQIktUI97wWkiRdcM6kVPpJbWT0FhqP9yFZMb3VlZPc91pBsXCexOJ9zLZKUiYzTiKRLm9p8aiUTA3TaKwbvovAs25gH00NHoqmBg+97DaYyAhh6eXWbfD9Y/3OhRCm+eGDv/RK22FCNdi40b2tEYKHQrRnuaOpwRuMeM/uaGpI9I7fenMsM3qbFkmPAwBUVs5+dXX66b9SjOTQwJY7/4hQJbrRg/5S5IiSSG/P34AQwpzzkIfcf7kHx9ANLcmU4/nreu+gumS2lhvToRNelcQpOHAzp/XGes2RwA0tHoqQSFg2Uiqyym7h2n3+qNEZo7xlxinfL64UdK6lvBosff6ThT8RHLiqYxMEiMDnHgBAJE5ThALlHLhr85aqY1OSkezavDU/6Z31XeFeu79OpdG1HpJvu8rv70ZHCPy+fnc6osaDneUqEEKfb0yf+tLLjbVby9NPXpFOeeSafTKE8WEllh5BVNK8auECD4OXfI7rdCp7TnSWlyV0rNLqs9/4T0TVk21/TrvKgxdTgUW7DfcSAFxCmHwBS7KJEMIgQFhLlx5jvndZxLOLi8cB4BUTeTvnxAKARzvLy2/XDvn4S4QwuTbRCwCgMXvm6xsJnhu8IQRngjOfs9ArLrzwmeVLT/w3z67OCRA8kR2/I5LoO1BZOfuV4sLRT1v1lRPR5MDB7OB1HwMAYCywhOAb7emvgAhDzy0svqD3DN8UG9/1AcmMdiNCFRAgpGi8DwCQ4JwJFr4LEMJyNDFANTMDHbsRqptZJMlGUFh8gfveG7aWeV0Cj7e2ctKZn3kytuf6nye6kTZGxu8oPf7Af9EHR28lqhYXvm8rue4d3trKSX1o9DZEqeouzx+W07ktXmHlFFbUqLCtEvOcuj6w6Z3e6tIxJd+9i0YT/X65eJG321XeAAgx166I0Lf1/MD1XqVwNr37Hb/h1UpTgdVYjg5vsYUQDAHCgAmNje3WiaxEsKxEQICoXTj6WfguM0xvNkG1Mo9l5U/lXH6rOjB4CFOqSunMKHDOWKu5ap07+1Vv5fOvheYAACAASURBVMWod+65TQB4GlN61L508TtKT+8+OZMdo/HEgPB9y1tdOekvLx1jjl1dnzUAuDxovIQV5ZM0Fu+Tc/mtcja3mTUaK+s3vU5s+RFE6XFn6uJDSlfPbjmb30ITiX7uh15QLJx3F+aeY7ZdFuEVNyfGw6BUmiSRSL4tvhQuMNu6qtw+rFXntf6Bg4AQ4q5TDeu1hSvXizBw/FLxIo21U7/aZtLtG7zwfdsvFi4Y45vvAkJkb2H+ufqzT31SMBaIMHTbPx4huOvWr3zPCGNi7toz5RfWzgIGHNZrC9xr/6jCamW28uC3/kDt7btOyuY302i8F7hggDBpnTj2L60TL/xTZNfej8q5/Fai60nWahWY1XrJTOmV+E5tcW3uyKe0SHYCRFtwRIhQQmWDyloi8FpFzgLbaZUvBW5z5fV+VzZ4Y1TXLnxbNVIjmMjG+k0MY6pQWUsihLDvtQogBKsXLj20Lg5s8PZEcBaAaF8LzETv/s3X/8wXARBgIhkYE6lVXz6+cunJj1dWznyFs9DtSfRfR6gapTILCL2cCrNBh6Dl17FMFBBCyIoSze3reRcm+AJnV0d9qkktp2X0bsF5qOfMAWu5Oe0UWleJ4pJGjGiXMTBwiNw+8s7ue3wrbBoZrcuuuAUA+P039Y1t8JakWQsr8GIl0QZvEzrjzFecyH3VFvd2Rc8rVpe97mNpCzhHX+O2DADq33XD7wEdMegVxc0NcWeD1womVMZE1gUPfRb6HbNzIdZ9eFrVxSO+U19UzcxoIjd2hx7r3rE0+eif1QqTD8pqtDvVte3eTP+ej1JJSwAAcNbeB5UUE2FJxYRquP2niomkYUJVjCUVECCrvnLSdxo/Us8xQnBOZPVPsfTEJ+Bam5FXgrEAEEKIEAVhQkEIwTyn9nIC7+vldQk8grOAOXYFIYStqQsPcM+t633DNzHHKuuDI+8MG/VFJZPfApn8Vntu6jF9aNMtzLGrrNVcpZFod+v8qS9Ftux6v7e6dNxTl5NY0xPO4uwzka17PlR95tFn4IrKiv8ZJDPWGxmcuJMoWozqkawIfMspLB6Nj+/+ECCMmzPnviF46BNFT2BZNpV4ZhQwlrxy4aw5MPpua2XmaXiLCTwAbWduADjcWV7ba8LQA4AVAPjq6/q3PM8CgPOd5WXpiDcFAPh2Z3lVmGPXAOB3X20bd2HuMELoyCvdvMJWqwgAf/ayx9N+zdc6y2umM2D4dGe5dh0HgPnO8kr8CUDb7Pq1mIP7bnMNY/p7CGHKBQtACI4wlihVo5JiZj23vsRCv4UAIc5/sIl0P4rUi1OPESIfFsC54DwABAhjSZUUM4sQIr5TXxRCMAH8cpT2Bm9PhGBBp4pHIEwolY00AAgWeq3i4ql/W770xF86zcI5hDCNpYffke7d+QFMqEolLb7el77Bi7SWmzOlEytPGt3R4dD2Gz03D/1EYPl1NaV/K7T8hhAglKiSHPvwjl+lmmQyN7SZE7aac7Xz9lrrqmus4MARQVQ2pVjQChpqXE6BEIKHYmPmcIMNNthgg+8ZGBMJYSojhBAAwoAAI0QoIZKOqWwQIhsChHBbxQth8GLV1pUgTAjGRFH0RL8ezW9XjeQwlY0kxkRZTyljoWf5bnPZtcpTnl2dDQO32a5k49/zyUIiKWYyv+XHRnbeeytV9BRnoTO88ydKrlW6ZMS6iwAAhMpmfuj6X4znxu5QzfQmu75yannysT/33eZKunvH+xQjOey7jWUQnKGOHxaVjXT/ltv/UHAerodSECobmEidP2WDUFnnLPRnT331PwDA//hev7e3Op1Qp7dEsNPrEnikeHIwunX3B/1KabJx/PCnBIBQUtlxNde9I2w1V6REaiRs1BflTG5L2KgthlazYI5vvSeoVmbU3sGDXmHltD0//ZTgPHTmpx+n0XifCEPXKyyfEt+DVBKqm1m/WVsMbasIIIC5dqU5f/E71Ih2teOshQBAyFlbeF5JZscBECKKluCB22zNT76knHSDN5e368zE60l+6wg3V4o3HryCT8IGbz6MvcTUzIKNFIofOoQQYuL6+/31/w99u9yqLR6tF6cfs+pLxyLJgQO9Y7f8rmamxyTFzEhqO9UFE0kjkhrdKJO/msZs9axbdlYlQ441F+uTbtlZ7XnH4E9sev+2f+8UrWXmM1fPGr2CCeZVnYK12pqTIkpi8dHpL/Dw6pLvlROlp6tzjQtEIkrghjZnIoS2VwiDT/6g3uEGG/xoQYikynq8n0paHCH8is8Kvtdc9azKzMb18K0HlfWEosX7MJH09dTZaxGCh65VmQm8V69A/2EEEyrnhw/9cn744C92/gq1/4MwIEwQQgQhTHy3sTJz8su/AQDPXvl6STaSqpke7Ro5dH0ss+lWI5rfTqgawUTSESYSQggLITgIzta9b3gY2Cz0mnZj9XStcPE7ZrznedcqT4XB9y7t2Yh27Rjede8nqKQm2mMVgPaUdmCz0LfaVemYGPHuXUa8e5drVWZdqzyVyG++CxNJ8536YujblXTPjg8QWU8GnlWisp6SZD2Z6t5+32s4hCamyoaP6DUg0k5IFiz03ozr5esSeCJbdn0QMJaCUnEysnX3B+y5qcf9amk6snXXB52FmafkkYnNcjq3mahqjF5/828FjdqCYMzXB0ZuJoaRzt15318y2yozxyoDxgQTqgDGEpZlo3X+9BffyBtGGJPkjkPXcd+ts7DpIiqpVDMzciw1zIPAtldmn5HjmVEpEu/FlKperTTp1UpTSiz1/7P3neF2XOW5q00vu/d2elfvkmVJrnIvYGNjDKYFgoFwLyWU1BsghIRACCUECIRgsCkGgyu4y0W2ej+STq+7972nz9wf+8g2IBs1Agl6/+nZozNr+lrf95ZOPtq+ATit9Jwz3f95nMd5nMd5/M+BY5taK6YXQl0pT5fSww8SinVFOtbfKfvbNxKKc5mGWqkVJ59H9fxx2de2ASJMtTyYXva4PQ8ATMVoRtYmHvANrVrbnK9PMG42gGjCIgozECNMOCg00/XJ7J65p1gPF8QM4UrDuV216cpvSC70hlHzdbqG3EmxSylp+VqmOU1xRMgOl3b/Po7tPM7jjw0ULXgjXRvfGUgsfxMn+johahnS/+aWjlPKHPvlsR3feyM4iwTc8zj34KVgb9vQVR/0hPuuaLGQEXWya2hbhjJ7/Kl/Qpj6lG0ZZ2mT8T8LCFO86I4t46Vg/2ttR2jOTXPuJFgo8BCad7uD3Zd2LL3+elew+xKaedkz1LZNTannR5Ra9oiuVGYc2zJ5V2SR7E2to2jBB2jgAwAAXg4N+GKLb9KVykwpfeRBV6Dz+7XCxLP2OSA7IELzFM37FtrmDlgIG0KYEhCmhVcW+yxTq2nN4phjm1qtMLUdU6wrmFp5hzvYc6mmlKcmDz30cV4KDUY7N7wXE0ZyFv6PUs8dVeuFUUOtpS1Lb9CsFPZGh26gFuRc/x1AmGJY3tPOCN4Uw7lTFCuFIITItkzV1BsFrVmealTm9xtaLfP7KkBToivChRMradnbFtpwZRwiRJrzk9sRRT9gG3oTYULTbl8nxBQDIMRGtTRhKvVz8i495QIPE4oujt74plssVSkrMxPPE8kVY0PRJbau1ZTZyRekwWW3OIbeqOzb8Z/K9PizZr2WdnSt7jiOhQjhFkx0acc0dcdxLIgQBTGmIEVzwLYsLZs+eDYHAhGmpFTfZbahN21Dq/Ph1Bq9Wpzw+yOLTaWRhwQzjmUZiFA8F4gtY3zhQUtVSo6pNxHNCAAAZGlK+bfu6DzO4zzO4zz+x8O2TA04wGlW5w9OH338043K/H4IITL0ZoHQnLtent1dnDv0M9sylGjXxg8AiLDjOI5l6o3zEr3fRG7v/NOjPz3yNXe3b2llrHhQSrl7HcPSy8fz+whN2OpU+aht2rqpGPXw6vhle/7luQ/8OnsHAAC8Ha6Bjs3Ra10xsT17tLRHremlxKrQReWp+nHQYjz+rwOEECJM85hiZYrmfazg7WA4T5Li5CjDylFMsS6ECAMxYSGAUG0Ux5vV9MFGdf6AWi+MGFo9a5la47fv6dVBMYKXogW/AxzHsW0TOLblAOBACBGEmIYIEfCyubzj2JZuaPWcZWq10508Y0LzhOI8iNCCY1u6qTeLpqGeLEnqjIEJzVGMFOakYJ/kTa7hxEAvxYhBxzZVrVmeblbnD9Yrc7u1RnHC1JXSSdibvxdACCEitEAI6yKM4OcEXyfNuRM0J0dpVo5gwsoIEQZhwjqObauN4mizOn+gUU0f1BqFMUNrZC3zzI8FE0aM92z5QLTrgg84wLF0rf4rxuYQQLSQ9ClCCKHgiiwSXNElAIDHT3UfCGFCs66YbZuaodWzr/Y+xYQRKEYMWoZSNvSF0I6T/C1C815C815eCvYL7thyhnMnCCMEMKY4y9TqhbmD95azxx/Tlerc70IS84cGVvC1ty++9h88oZ7LTEOt6uqveqFAiAhFC36ECYMwxcm+jgtp9sX/AABM/K7HhhCmCC34WcHXLnoTqwU5sphm5QhEiNLV2rxSyxyul2f3KLXcMVNv5M/k/XKqwJjmGcHb4Ti2bWiNrKk3X1pYI0w4mnVFW/4ytMBwrijNymFXoHNz35rb3y64oksJzXsdxzZ1tZbWmqWpSn7sqVp+/BnDaBYgRITmXDFBDg8hhGlwEgYVhBAyvDsRal/zDneo9/LC3MF7OSnwb2q9MHqmcwwIIfSE+mgAADB0pTh95Jd/VytOtZhHEEDJk1yd6Lv4E81adpjQvLeSHXkiPb793wjFyMHUqrd6wv1XQwBBcf7wz+fHnv1SrTi5vcbKz2lKeSrWvelDpfSRB/Kz+3+oK9U5y1AqAELEy+HBSOeG9yFM/U4j1DGheYqRQoIrskTyta0f3PD2lXTr+yi3Ek5pHgAAwYLHkGVoNV2rZRrluT3+2OIHG5W5vQvfyvrvuuCDaEaQuxffGFh76VplfuoFSvak+GhqnZqb3y8muy9SMjO7AABjtDfYF1xz6cf1WmkaQgjNenWecMK3TKVx1h5zp1TgQTTN+zdtfROkaIFgTGFBCimTY08T2RX3XnDxx4DtWFazkS8+8+ina0f2/cg2Xt3d/ncFx7bN8rG9P6AEV8yxTV3Jzuyyda1hm0bTMQ3FcWzLsW0T2JZuW5YBbNsECBHC8t5mZmaXWS/PGrVfNfY9j/M4j/M4j5MDIYwd8JIB5UkBEcIUIwUZVo4RmvNAhGnHtnXbMlTbMpqGXs/paj3zu+4cQoQxBACd8N0BoNVpc4Dj1EpT2+vFqR0UK4V4OTwEAUCje378p7paS0ve1BpPqHerNzJ4zUJnSHNsSyetCYWICC1iwggY0+JL/8a0oCnlqWph4tk/po6oqZoKovB/BTORqbatPbdTPCVDgihEMKVV1LwYkzsJRwQhKncc//GhL1dGigdO9nc87VKvt0Puzx4p7UYYUYxAyXJUSEECT4tx/D8BEEJIs3LEF120TvK1bRDdsWWcFOwnFOc+EfMJIIALjLGXuu+yv32j4zi241iG1iiOlzJHH/KG+5+oFSeff7WF8GuBZqVQ29BVn/JGBq9zHMuwDLViWYYKHMdCmDCE4r2YYmQAEQYAAOA4jqHVM6X0kQfT489/FQBw6LX30Jqcs4K/i5dDg8n+y5ZL3tRaVgz0mEazmJve8z1CsV84FzIFQnGy6ImvSvRdcrEn1HclK/q7EcKUbVsGhBBBRBgAHNtxHMu29Gajkj5YzY897YsOvdiozO3TmqXJ30e3F0KEGN6d8MeXrpd9besFd2wZJwX6MGZEACGCAMKT3QuugLPJcRzLsS1DreePF9NHHnAHux+vl6Z3nMn5xITmeXd0CcQUW5je873ZkW1feMUYieRNrom0r3s3K/l7IGyZuLKCtwOcRoGH5lzx7pW3fsexDLWUGX4o0rH+pAWp1ODWXk+o78rC3IF7McV+yjLUlzxQEMKEk4L94Y71W9yhnstEd2wZoXgvhJA4ADiWoVYwYUSIMO0O9l5aLYw/m53c+W2KER82tPqrxtb/NiCECcWIQYqVIxTN+zDFyAhRLIQIg5akh7RkMbbl2LZhW4ZimVrNNJolXa2ldbWWtq3f7RqJZqUwLwcHLMtozh574jPl3OiTJ37DhBa8kcHrgsnlb6KQGIQQYZqTo4TmveB3WOBBmDC8FBqIdG7Y5AkPXC16YisRpnngOJbj2FYrndJxgONYtm0ZaqM4ViuMP1MtTj4vuKJ7lXp22D7LpOXfHBPFs7y3zW6dp8+mx57/KgAAEEYMBFMr7oh0bHgPjaUwhBC5gz2Xyb72C92hnksXjIu1emlmV7Uwtq2SHXlUUyqzDO+K83JkcdCTWEXz7oRj2yahOQ8r+DogRJTWLE83KnP7TL2Rpzl3QvKl1mFM8xAizPCeVLRzw/sFV3TpzNFHPwkhfPJM30MQYRoAACxDrZazxx5pVjMveaqygi+rq9V5Xgr2Rbs3fwhhwvjjS24OJJbdBhEi1fzYU/mZfffUyzO7GM6d8MeX3iy4okvdwe5LGN6TMrR6pl6cftEBjiO4oksCiaW3BuJLbyE077VMrYZowp2bq/MyCMXKkq9tfbL/sovcod7LWcHXhRChwUIC9m8w0yCmMMIUJoxEsVJEcEUWBxJL36g0CiPV/Pi2WmHiOV4O71Yb+ZFzfU+1xoOg3L1oqxDr2GhpSvlEUZnwcpgNQKSkp18kvBgEAIwZtfJU+cjOuyxNKfPR9vVie99WrZQ9Ck7TU/ZkOKUJE+X2dQhdfVeWtj/5OSLKEdrtbaN9gZ7GyJGHICaMUS2MFLY9+mlleuyZV6YU/XdiwcPnrt/Hvs/jPM7jPP63gWIEHyaMBCGmIMIUQpghjOCjWTnCif6ezmWvj2Umtv87eIUu/QQTgWalsOhNrulc+rpNvBwcpGjBjwkjAoiI49imY1u6Y5uaaagVQ6tn2xdfe7xaGH+mUZrZZeiN3Nl0oH/tGLz++NJbelfftgVhige2bfaufmPdMrSqK9C5CUKEPeH+qzkpNAAhRKXM8MP14vQOQot+X2zx6xzHtiAiNESIbqXeIZzou+QvLVOrtlIjKA4hwiFMnUiR4BCi2Epu5LFmNX0QtMzo/2hgG5YOAPglHxQPB5aGN0Y3tl3nGwqucyzHNBWjXh4p7Jv4j11/WxrO7ToZewcAACAAsDbfnDJVq8nItCfQ71leSzembd0+5xOx3xcQIhQjeNoTfZe8wR3suYyTgn2YMKJt6QoitKDW88dNQ60ghCmtWZ4GECLHtgxeDg1wUmjAtkytWcseBo5ttTwgNrw/EF92W7U4+bwn3Pf1an582+kwegRXdIkn3H8VxQh+x7ZNQvFeBzg2sG3TcSzDtm3T1JWSoTfyra66XseYFgLJ5bdRrBSiGOHdhtZ4qfsNIUIn/Ko40d8j+9ov6F1922qG97ZRjBCAENOOY5uY0ALNikF3oOui3NSu74AzNKdECFMUK4U8ob4relbdeo3gii6luYXETbU6V8kef9Q01KovNnQjw7njAEAMgA0cx7EEOTQoeeIrLFNvKPXc8WphYpvsb/9Zs5o5ZBlq9XfN1kOYMJwY7E0Nbr3FFejcwomBXoQpzrZMBRNabFTTBxzbthzH0g2tngUOAA6wLcEVXcYKvg7bMpRmNXMQQkSxgq8z1rPpw8HkijdX8qNPugKd36yXpnecSNA5FRhao5Cb2vVfsq/tAkJznmY1fcCxLQsTmvdFF93gjy2+qVGZ25ef2/+jZP9lfwMRphaKA6cM01DKpt4oeCMD17hDPZf+tu398aVvyLbujyOYYkRBjixqW3ztrS5/xyZO9Hc7jmPblt6wTLWGKc6t1nPHpg7/4q8xYaRAcsWbJG9yrSvQdZHoji2v5Me3+WJD36rkRp+0DLXy2xbRECGMCSu17uO2DT0rb11N8+4EoXkfIYyMCM1DhGkIEAYQopb8BULg2K0iom1qCya7NVNvlnS1Np8cuHxvJTfyeLOaOWwazdJC4Mc5Q6M8u6c4f+T+UNvqtwMAYbMytw8AAChWDvuia/7EFejcnJ3c+Z8M70kFEstuxYSRMabPuWcKhAgRinNL3uSazmWvu0nyJNewgq8TIkxbplYvZ44+0qxmDroCnVskb3INABA6wIGOYzRpVooEkituDySWvVFVylP10vROX3TovlpparupNQq2fXahPAAAQBjBT2je5ziWrmv1jO1YhuCKLY33bP6IO9h9KYAQ2rapI0Rod7DnUgAhsm1DrebHni6mj9yvNYoThGJd3ujAtazg70aY4pR67lhx/vDPdbU6K7iiS0Ntq97uWKZWyh1/qDh/+D7bMhSEMM3JoUFO9HcDGvghRBgiTEGEiSvQsYnQ13gnDz30UYTwY2ci2YKoVYh3HNv+9WKiqTdyFCMEwu3r3o0JLfmiQzdYpl4vZ48/Ws2PPoUILXBioCfYtuptNCtHMaZ5Y4HFhxCmXIHui0vp4Yc94f6rPKGeyyDEVG5m3z214uTzLO9pTw5e8cmzvS4AtOaSmDCi7O+4sGv5TW+WfG3rMWFk29QbjcrcXtvSG5I3te5koRdKLXc0M7njWxAiSvImVome5BqKFnyCHB4S5PBQILHsNq1ZHG9U0gcDiWX3V3IjTxh6M/9azcrTASW7k4w/PKSXcyOY4dxCtG0D5fZ1gFbPBjq2ZS4UeICtKRVLVyuQUIxRLU4omZldfLxjI/jvKvAgiuYtVSk2x44/xkTiyy1VKbHRxEr/hZf/tTo3/WL+iQf/wigVxk7HbPY8zuOPDRAhzHCeFCf6Ol+iEv4aHMc2m9XMYbVRGPs9DPGPGpjQPCeF+mlWCkOIThpxaFl6vVac2v7KTuL/RkCESdey133WE+rbukAthgBC2DIdxAQhzAAAnGph7GnwCl26K9C13BsZuNYT6t1KsVIYY5oHEGFDb+R1pTJjao2C49gWw3uSrOjr5BBhHMdx3I6lh1Ir79Ca5eli+sj9kjd5X6Myt9+2zLNiwEje5Np470Ufp1kpbGiNvOPY5gmvtdZCE0CGc8UYzhVzbNtkeE+b4u/aUi9N7zC0elbypdYLrsiiemn6RV4OL8KEESRvcrVtW4ah1tK6Wp3TtHrOsS2D4d0JXgoNvOTT8yqmln8MaGbrs4igH85vn36EEmiZ8LRk1LSyXtdKlmI2X2tRNbsn/4wUEZKRxb51lm5plTl7Ym5P/hlDNU95kfqHDJpzRYJtK68Ot635E04KDQDg2M1q+mA1P76tXp7dE+lY/x5drc5rSnk6P7P/B0o9d5RQrFvyJtcwgrfNMtVKZuLFb86PPvslx7Z0yZtc64stfr03MnC1Lzp4neRNri7M7r9XcEW+0aymD55KFxi+QkJQyY083qjM7bNMrWbozYKhVuc1pTpnaLW0bepNx3EsAAFw+Tu3dMihQZe/c4s72Hs5hOgeQnNuhve0+eNLeiRvaq3kS61jeW87hBBrSmWmWc0calRm9zSrmUO2ZTRjPZv/3BPqvdw0lLJlnjyh5jXH3ZI4JIOpVZcFkyvezLsii1pF6daxOI7jEIrzuEO9WyHCFCGMC4CW70i1MPHs3Mi2LyBEGNGbXCP72jeK7tgy0R1fHkgsu62SG3m8MLv/RxQjPPvK4tW5BCt4U5GO9TcGU6veyon+bts21WYlfaCSH3taqWWHYz2bP9KszB/UtXomP73ne1qzNElo3iv72zfycnjI0OrZ9PjzX81M7PgWAI4j+9o3+ONL3uAJ9V0RiC+9Rfa1X5Cb3nM3JwW+rdRypxQxDiFEFCOGCMW6WMHfzYmBXob31KLdm+6QvMk1uek9dxXmDtzLS6EB0H/Z30AICTrN4oCpK2VXoOPzoiexkmLEkFLLHtHVWvrXt+Pl4ADNuqI0K0c8od6tsi/lSvVffrMvtuhGipUijm2b9fLc3lL6yANqIz/iDvVulTzJNdPDj32ymD78c8dx7HJu5PFgcvltodTqtzOCt8Mb6b9K8ibXlDJHH85O7vw2JvQLJ2soQAghxUghf2zJFl900Q2SL7WOUJwHYcICANECS8fUleqc2ixNWoZSchzbggAigBCFEKYgxDTCFNcyO3YlThSjPKGeyyId6/60Vpx6ITu1678Izf3S1M+dRQTEhGE4VwwTRpS8iTUUIwZo1hWLdK6/E2FamDz00MdrhcnnYz2bPwwAAAhT7AnWx7kCoTm3J9x3QSC5/E3uQNcWQnEeiF6OjkaYYkRPYpXkTa45sUh3bNtUGrnjc8e3fUFrlicFd2y57Eutk33tG/lEoM8bGby2UZ7dnZ/Z9wNW8D3aYtud+bpzwUAc27ZhWbpSFlyxpe2Lrv4cxYiBUmb4Ia1ZmfbHl9zMCt52iBCxbctQ64VR2za1QHzpLTQrRSHClK5UZsvZ478szB241zTUMkULAU+478pAYsWbaE6K6Gp1DmGaT/Rd/BeYsC4AHFtTKtOV3NiTSj17lFCcm3dFFgvu2DKKFgKCK7Kobeiqz47uvfc9AIBnT/e4HLvVPMGY4hjekwQLzCxC8+5Q+9p3xHu2/DmheR9c6Mip9fwIzcrRaPemDwLHsXS1Mqc2imOFmX33NCrzByhWCiV6L/5E66/bdqRr4/stQ6nMjmz7fL04/aJpNEu2ZSqBxLI3nem1eCUgREhwRRaF29f/qTc6eB2EiKqXZ3aW0kceqJemdxBa8Ic71v0pQuSkkrBKfvSp9Pj2ryGE6XL22C884f4rw21r3kmxUgRCABzb0lkx0MPL4UFPuO+KenHqxezUrv8kNPeQqSuVsxo7QkjqGFhMCXIEs7zHNrQ6ZgU/4w32NecmnscM5wIQQsxwbgBa3yjP4KoU5gS/XsqPVI/t+7Fn0dq3n80YTuCUCjyOZeqEF/zSwOLX1UeGH2ICoYHm+MgTfFvXReUd276kF3Ij52IwfwhACBMI8IdyMwAAIABJREFUESE052EEXwfNyhGakcKEEfyt7iyhIURE1+pZpZY9otQyR9RmadK2DOVMq/AQIvSSRrM1G3Ne/u1X6bgAtIoArXi9U6fvQYggRIiCEOEWC9I2zoWZ14kxQkRomhFDwgLFnGalkGPbpq5W5pRadrhRTe83tHrOsW3z9+1fARHGECKKUKzMtq5xlGKlMEULfkQoHiHCQIiIoTeLL13jRmncsvTGmVZ4IcLYE+y9PN570cd4V8tp/2SpBrZtGZmJF79JKPYjp0qvRggTABFxbEtzHPuk9wRcuK8d29JPdv5P3B+YMBIvhQZ4OTRAMVKYUJwLIEialfSBYvrw/YZaz/5v1LBTjOCLdW++M5BcdhvDeVIQYfpkhoSmoVSO7bj7dgjh/b8rGv/CR5eiaMEvuKJLeTk8RLFSCAAADLWaVuq5o43K/D5draUXYjbP+fNEMWKAEwM9FCuFHdvUnFcY0COEmYWECUhz7gShebfojq/sWHL9He5A1xaKlcLAsW3LMpq14tQLldzI4/XK3B69WZ5BmOI4KdDrCfVdwfDuJECEadWNCINowhCa9/KuyCJfbNHr8tN776Y5+d8NtZY+03ONMM1jTAuG3ixMHHzgI7pSnQMAAEwxUqLvkr8SXJFFwLEdyzKa1fzYU6XM0Ye1RnFC8rVtCLWtfjuEiMwee+qfqvmxp9sWX/PP7kDXFqWWO5qb2XtPvTT1gtooTViGUuakUH+8d8tHOSnU37ppTuJHepaACy9aiDDF8J4UJwV6Wd7XwfDuJMIUa1umZuqNgtIojDRKMzs1pTxtW6Z2Lu8PhBGGGC50ql95kC3xi+M4NkQQO7ZjI4JsW7dUTVdUtahkAAAAOMBBFKIxjZ2Fjxu0TFt3rJfH2MgraTkq/Fit6CUxyMWK49XDueHSblOz/tul3+cSECLEy6GB9kVXf9wbGbgaQkSqhcnn8zN7767kRh5Xm6VJd6DrIkxxbln0d08dfuQvG5XZPZ5g7+X+xNJbZX/HhQhheu74ts/PjW77oqkrZQgRquTHn+ak0IAn1LcVYIgoWghEOjfcKXoSK2aOPv73CFOP/lapoONYYOEZK6YP3z8/+tyXX+U7gTChBVeg+5JI1wXvp1g5AgCAodTKO1jB2y56Eqt4OdjP8J42CDEFgGMrtdzRzMSL3yznjj+m1LLDtmVqCGHSYlTEVzgtuVfWMtTTmlgTipX88aVXBVOr3ip7U+ssU6tB8FJhxwYLj8yJGN9W3qWpNYszuwqzB35cnD/8MwAh5OXw4mY1fQgCAGlWCtuW0cQUI/tji2/yhPquKGePP+oOdn+9Wph47lxJayBESHTHlnUsue6v3MGeyxzHNsq5kcfyM/vuqeZGn9LU6pwvMngdoVhZ9ndsnDz44EeVeu6YNzxwtT++5GbJ13YBAI49c/TxT2cmXvymZWoNiBCu5EaeEN2xFU7IsSHEFM3J0XjP5g9J3uQqV7Dr07X8xDMLSZ6vCsexTVNv5AEAgBG8qbahKz/jOLZt26YyM/zYp5vV9EGac8dPMG8gaLG1TvccGGo9Y5t6w0JqZfLggx+rFsa3nTg9rfenA9oWXf3ZYGrV2yDCTKx70wdt29IZ3p0EAIBmNXskO7njW6XM8EML8pb3AYjJ+P6ffaCSH33yhPQCITyfmXjhG4TivJHOC96HMGFoVgoFkyve7Ap0birMHviJ4Ir8h1LLDp+YEy+wla4Mpla+RfZ3XIgwxTmObbSYI6ZKaN5nqNX5/OyBH1Xzo081a7lhU6vnbNsyESIURK3CDicGelzBrotc/s4tNCtHW5a3rW8poXivJ9x/teRr25Cf3vM9VvD9s9oonJPETtvUG6ap1QAA0BXovrh90TX/THFypFaceiE78eJ/GHojJ7qjy0R3bMXCOaIhwudEAgsRxpInsaZj8XV/cqKw6ji2CVrJkwvPZWufNCuFHMdxHNvS1UZhrDh/+Of5mX33aM3SlOhJrNKaxYmqY1sM504gQosAAEfyJtdK3tS6enlmV3Zy53cIxf3QNJQz8u+CYGGO5zi2ZWk14Nh2dmrnt5Va/hjDu1Ox7k0fYnh3cmFZZkOICC+HB029WbRtyzD1ZqEwf+hn9dLsLooR/MHUqjtozp1geHfSsS2zVpp8AZYgdAU6N7uDXRfZltGsl+f2luYP/7ySH3u6WUsfAo5j0Zw74YsO3dBi9AgBCBHm5dBQvPeijzGc612aUpk91WNyHMdxBTrLjuPYJ+STEMJtNOuKJvou/kAwufKthObcLd2LoQLHsRGhhWZp+nB+bv8P1VrumNoojtuW3hRc0SWB+NJbPJH+q1jB31UrTr1YnD/883L2+KNqPT/y6yyqaPeFPnCWkx+Mac4fX3JdtGvj/xE9iZWm3ixmJ3d+q5IffYpQnNufWPZGd6D7Yk4K9gEA4IJU2QSOYwGICISICK7o0tTg1k9RtBCgWTm84NPjdhxLL2WOP1YvTe8IJle+mRW87RTNe92h3sslb3JNfmbfPZwU+Ge1nh854zknoXjGE+jBLO8hvBRygBisjx1+QC/njlGSO6EVModbRZ+XWY8QE4YLxVdQoiuu5ub2QnTyBvPp4pQeaEtTy5ailGh/qJ8uFsZsTaua1dKUUS5N2rp+VsZ+fwiAECGK4X2sGOiNdm/eKHkTqzgx0IepBTM7RJiFyDsMFuiXjm3qlqnXLVOrK7XskcL8ofsEV+RZtVEYPV15gTvYfUmka+MHKEYIWIZStky9DhzHhogwFMP7MGEk8NLExTZqxcnns5M7/xMhvPO1aIoQIUwo3kOzUsQXW9Qn+zsuFN2x5balNwpzB3+KMPnm2XTIIUKYZuWIO9S3yBsZuMbl79hEMYK/dUoJgzHF27apWqbeMLRGrl6aerGSG3lccEX2ac3y1Jm+lM9orBBCQvNeVvB3RTsv2CB5k2s4OTRAKM69cH2ZVpENYfjSNbYMy9LqtqnXlXp+pJQ+cr/ojj+l1HPHT7fbKMihoeTg1k9yYqBXqeeGXzlRhAhTrODroGjehxCmRE98Bc3KUQDA0VM5rkByxa3+2OKbs9O7/0v2tc38xjYIkVj3pvWSL7Vu9ugT/wAAeO7Eby2zQznqiw6t9IT7rhLd8eWEEQKYMOKJghAmtGRZeiOYXHF7ZnLHt2jO9bCh1jJnsnBEiFCY0CIitIBxa+LdopO+TG12FiqQjm0Ztm2qtmU0LUOtmqZaPddUZgBaFPlw+7rbot0XftA29Ua9PLPrlb8TqqWhbnlRcC7Zl1pfygw/BAA4p3JUCBGmWDHoCnT1e8L9V7uDXRdTTCsVACJMYcyILbq33jC0RqFent1dyY08Krije/TW81Q+V0UnhnPFKUYI6Gp1bvLggx+tl2d2QQAx74oujnRueF+LTg2g5E2uYTh3whvuu4pipKBt6UqjMr+/mht9spw7/phlqGVMGEn0xFcGE8vfTBjBRzFiiOHcCYQwpavVeV2tZ4BjmQzvbVvoKiFeDPTGejZ/WHBHl0wf+eXfQYj2ncn9tsBMgGq9MFbJHn/sxESJUKwkeVNrlWr2MM3JUVNvFicPPfQJ0ZtYFena+GeY0GJh7uBPCrP7f6jUskcRpvn02PNfQYhim9X0wcz4C/9ummqVE/3dweSG93kiA1djTAuWoVYhzfvOxTU4gQX5Sdgd7OmT/e0bJW9qPSt421umgi2ZWOv70HpmLMtomrpSalTm9pYyww8J7ujOVuypUny1AvCpIra5/UYp6e7FNGYxgznHdkzCUxKiMENxlIhZwtuGpSm5xhzr48NaSc3alm0SlvB6Ta/YhqXZpqUTjhJZDx9EFKKP3b3/8wCAHa/cTyOnzM3uyj7lSogdAABIWMIjgsirybr+0AERxu5g98WJ/sv+RnBFlij1/LHs5Iv/UZw7dJ+mVmcJxbqDieW3RTo3vNfUG4Xp4V/8baMyvy/UtuYdsa4L/y8jeNp1pTo7c/Txv89MvPgNx3EcXgr2BlMr1wcSy94oehKrMWEk2zKahdn9P/JGh66XvMm1nUtv+MrcyLbPY0z9m/UaxQnbtvRWohwArkD3xS1GCKgDsPDtpDg3zbliwdSKlb7oohtFT2I1RQu+E7/Lgc5Nkq9tA8IUZ5lqxVDrmdZzpZQquZHHC/MHf6LWC+MQIswK3rZQ25orwh1r30Vo3ufYlqYrlZlTbTgtFJbjyYGtHwoklt6KMM2XMsMPzR1/6nOcFOz3RYeuYwV/DycFegF4uUiv1HJHs5M7/1NrliYAhNgXW3SjK9B1keCKLnUc26yXpneM77/vzxqV+QMIU5zL37k5kFz2Rk+47wrZ17Y+Pf781yhG+NrZsnkQJow3Onhlou/Sv+JEf3ejMrc3Pf7Cv5czRx/WtXqWonl/uH3NO8Pt697drGWH50ee+aLaKIxGOi94X6Rj/Z0054qpjcLozPBjn87P7v8hhBALrvBguH3thYH4sjcK7tgyhAhr6s18KTP8sC86dIMr0LmF5b3t00cf+zSE6Nuv9S51HMdxB7vzlqFWSGvxs7WcOfZIOX3wYcEVXeKNDF6LMGEFd2zZwgXBr9ZJfy1wYqCH5t1JS2+WmrXsEdNQaxAiyPCeNgAA0JrFCV2tzgPHNiHC1AnJnaE3i6X0kQfmR5/9km3qDX9syc3eyMC19dL0jrnRZ76g1HLHIISY4d1xVvB3Jfou2SL72zeygq8DtryYdF2pzEKEKIZzJSId69/jDnZfmp3a+W1OCvwcIUKnBq98pz+2+PUQY6ZRmdvXrKYP2pbRFF2xZYhQfGbihW8U5g7+RG+Wpy3LUAnFSozgbXcFOiOB5PJOx3FsQ63OB1Or3kpozgMhRLZtarpanS9njv2inBt5zBvuv9oXW3QjoThPqG31O1jB18nL4Q8ptcyRs/2O27ZlJgcun3VsS6cYwe8O923NTe3+nlLNHPFGBq9lOHcCIkyfSI9qNbTOflFJaM4dbltza6TrgvezvLe9Wc0cmjn66CdNU6sH4ktv4eXwEC+HhzB5uSBoGUopO7nrO/Xy9E7btnTRHV8R6Vh/pyvQtQUiTKuNwmh6fPvXKrmRJ2zbMgRXZFEwueJ22d9+YdvQVZ9xBTo38XL4M81q+vCZjxxChCiuWpl4Vtdq6UB82a2Rzg3vZXhPytQbeaWePw4c2xbc8RVqozAyefjhTwAHANETWy664yu8kcFrIcKUqTeLtcLEs+mx574CgAMkb2qtJ9x3pa7WMo3M0Ufys/t/2CjP7gEAOBQjhoLJlW92B7ouFlzRJYThfRAirDVL4xBhhmalsCvQdVGofe27MKH//nTWlVZL+p7DhBEZzp1w+Ts3RzoveB/vCg0V5g78GCHCIkyxuZm939eV8qyu1OZMU6lAgDAnBXoDyeVv8oR6L+ekYD9F815Dq+dmjj3xmdzU7rta7+qTF4kpWvBDAOGZ3ryE5t3hjrV3xLo3fZhi5XCr1cnK/sTSW/zxJW9AhBZaDM2W1N9Qq/O6Wp1rVjOHDK2elbyp9ZKvbR0vh/oJxbl0rZZhRV8XxUhhCCHU1Vo6M/7i12lOjkKEKMe2DE2tzpl6s0Bo3hdMrXorJwV6Jw4++FEI0a4zaWZDQnNiqudSU2nkAca0lp3dUx7ec7fU3n8FpBhRSU/tIIIcJqIrDgAACBPav+biqGMaKiV7Uno5P2Lpp9fseNXzeSobWY16Vp2f2Q0JZphQZLFjGE3Mi0GrXkvTvkAPAGDPuRjM7wMUzXuCqZXXeyMD17aicXmvY1u6Axy7UZrZiQgt6kp1zrFNzbYtnWLE4Im4XE2pzNimVpf9HZvcod7L1UZ+ND+z/wec6P+22iiMnho1GuG+1bf/iSfUe/lvMjocxzINxdAaWUOv5yxDrdqW0XQHui+RvKl1x3f94G0AgF9ZjLZopWJAcEWXxXu2rBDd8RWCO7ac4T3JVifeNk8sDIpzh34KAJg73XMGIYSs4O+KdV14nSfcd6XoSa7BhOYtU6vXS9M7tGZ5WvKm1hDR34MJIy74VDC8vLI/mFr5Fk0pT1eyI4/5okM/r+RHnzqX1NSTARNG9MeXXuOLDl0v+zs2UYwYdBzLAA6wG+XZPRBj2tAaOdvUG45jmZiwsuzvuBATWlAb+RFDb+ZFT2K1K9C1RVcqM/nZ/T8W5PA3mrXs8KkuOluGjkbTNJrF4zvvvmPBnwNgwgj++NJbwx3r3m1bhkIxYohixCCmWvS9U/i7TjC53JJ8beu9kYGrX2tb27YMXanMQIi2O45ts7wnGem64CZfZOh60RNfsaD7Vy1Ta2BCi9Xc2FO5mT3fdwW6tnhCfVfK/vaNoie+spIfezoz8cI3MKEfOJWPTut+8baLnuTq5MDlSxnek6JZKdQ6ViGAMMXChcp7K6nIthzbMmxLb5iGUja0RlZrlqaUeu6YLzq4u1ac2q6rtXPpbeLYtqk5tqmWc8cfPb7z7rec+IEV/V2x7k0fOuEzQNG8lxG8bRCcLDL2zMEKnlSkc/11nlDfFZKvbR2hWJdtGUq9PLNbrRdGBHdsmSCHFy10ozkIMR1IBN4QSCy9VVerc5Xc2JOl9JEHKEZ89GwMJE+A5lxxwgh+Q61nm7XMEbVRnPBG+q+O92z+CO+KLAatSgH0hvquBAAAyzbVcvb4o6XM8ENqPX+c0LzPHey5tJWu4oB6aWZHfmbf3RQrRQKJ5bcBDoDC3MGflDJHHzG0ehZhig0mV97hXtB0g4XOuzcycB3FSJHx/fe9f+GDe1pFnoVJK2y908FL/9c01BrC5C+DiRW3Jwcu+3+6WpuP9V70MZqVw+XM8EOl9NGHDb2e5eXwkBzo3Awcxxbc0WWSJ7GK4eRofmbP9wRXbLnsb99omVo9Pfb8V+vlmd3xni0f8ceW3Hy2539h7IgT/d2xns03uoM9l4mexCpMKL4Ve9piJ7xye8dxgGUZCkKEZQVvByf6On3RoRt0pTJbK029UCtMPCd5k8+cjfQttDJ2sWM7VvqF6UcISwlqSclgBvOEo0QAAIhd2HadkmvMZnbMPhZYHN5QPJbfreabc1xAiDumbTqOY/NBMcEHxLhj2xbrE8O0m/P/ynEjCEMD3mV9VyZvdRwAMIWoelaZG3ls5l4AwPBJB/YHDAgRcge7L+5Ycv2/MrwnVZw/dN/86LNfqpdndtq2qQuu6NJI54b3yr62DYXZg/fmZ/f9gBMDvR2Lr/uXhUUOozWKY1PDv/jbcub4L12Bzi3uUO/loju+kpfDg5hQ/IlCBkKE8cUW3QhA65vD8J5kqH3tu3LTe74PAHiNAs/LLD3RHVvOy6EBjOkDvBwajHRuWCt5U+skb2o9w7sTECKsq9X5UvboLwRXdAnDuWIIYdoGAFTzY0/nZ/f/gBV9XZGO9XdSjOAPJle+pTh/6D6KFirB1MrrgskVbxE9iZVogb1nWYaqKacWcNFKbYouSQ5u/ZQ70H2xUs8O56b23JWb2fN9XanOWabRoGjBT9Fi8FcbyS32DsO74zQnRxje0+4Odl+MCSM6tmXmZ/f/MD+z927LNJRWEcrXgTBhMxM7vsmJ/t5w+7p3x3sv/jihOA/FCJ850yIPRBj7o4uua1t09T9SjBDMTe+5a37sua82q5mDwLEt2ZtaH+nc8F7BFV2and793eLcoZ9K3sSaWM/mD0u+1HoIMVFq2aOThx76eK04td0b7r/KHeq5VHBFl/FyaPCVKTaYYt2+6NANjuPYwAEOK/o6w+1r3pmb3nMX+C1pdKahlg29kSf0wnzYNg1G8LY1SrO7S5mjD8u+1DpvdOh62zLUlv8YYSBC+HQaMITh/bD1vTdtu1V85OXQUNuiqz47P/rclzSlNPWSrHYBWrM8nZl44evp8Re+7gp0bAp3rL+TZqXw3PFtn89O7foOhBC5Ap2bZX/7hbKvYyMvB/ublfTBRnluL815kqbeKORn9t6dm977fURoIdS25h2+yOD1gisy1DZ41WcC8WW3AAix4IouMfVmcWb4sU9W82Pb/Inlb3QHuy+t5EYfT4+/8HWllh0GADis4OsKta3a0Lb4mg2SJ7GaFf1dlqFWytnjj04PP/p3kwcf+HPBHVvmCfdd2axmDuemd3+3Vpx6ARNatIxmWWjJcpYjTLHuYM+lbUNXfGZ070/vBACcdeDLwkJcRZgwtqk3MaE4ihH89dLMzsLs/h9FOje8lzCi37FtEyJEWvMwCM+0uESxUiDRe/GHwx3r3m1ZhjI/9uyX89N7v1+vzO6hGSlUzY89TSjOzcuhgRPvK8dxHMsymphiXaInvgIT1uUJ919Js1IYOI5TL8/unh999suWqVUcAByGd8dpVopU8qNPlbPHH410bnhfMLnidooW/Lwc+mCzmjlyJmNHiDCcFOy3TK0e6dzwXl900Q22beqFuQP3ltLDDyJCC4H4kjeo9dyx6eHHPslLwX5/bMlNkje5ztCb+VL6yIOlzNGHG+XZ3ZwU6PWE+69y+Ts2mYZSys/s/2ElN/qEqddzvBxZFGpb/TZODPQgwsgs70lyor8XIkxqpekduandd9WKU9tpTo6mBrZ+ipdD/aHUqjtK6eEHAAAvnOrxaM3SVDl77Bf++JI3+BPLbg21rXmnppSmJg7c/6FS5ugjtmVqv36taUYMxHo2fyiQXPEWihGDJ+YXulqdnzn2xD9kp3Z9xzK0l4r+mGJlihFDNCMFCc37EKGFUGrV2jOVphOKlaJdF74/2r3x/2LCyqbWyDWq8/tZwddJc65Ys5o+SCNM14tT2w2jWdKb5SlMWBlTjCx6k2tY3ttu26Zamj98fzk38ni9NLNTdMeWJQcu/zvHtnTTVCuN8uxuU28UGN6dsky9np5/8f7c9J7vmXqjEOnccGekY/17ZH/npo4lN/zr2L6f/hmE6MXTnnMiiDEr+BHDuY1aeZpwgt+xTNWxLcMx9AYkFGc2axna5esAAADMCT7WH12MKIo3auVpLpRYaarnRhJ8SgUeW9eaYvfAQ971Wz5cy6YPsZH4ckQzoqUqJal/yesRzdxv66cf0QkxJhAtLOosU3esszfNOlUQipVkf8emnlW3/qnoTa0FwHGa1czh0vzhn6vN0ni8Z/Of61ot28ylH0uPbf8aJrTIir7OSMeGOy1Lq+fG99yVHt/+NcvU6oIrsjiUWv02T7h3a6z7wg96wr1XZMZf/Dqh+XvM35poASFEhIUQokZlfn85c/QRQ28WFjwrZk29UbBMo9GSgFk6woRrX3ztP3tCvVcEEktvITQ3ghBmKFYKie74iq4VN28SXNElFC34AXActVEYy03vuatRntll6M1iKLX6bYHk8tstQ6ub5unFkiJEaFb0diT6LrnJF130Ok4K9CzokSEAAEBEGFb0d7OCr4NipLADgGPqzVI5c/SR9Pj2rxGKc8v+jk2+6OB1weTKt3giA9co1fShaNcF95bSww9pzdLUuTBOOwFMaE7yptb1rLzlTtnfvhFCRJR6/lh67Lmv1Mtzu2M9mz5iGWqlWU0fnB977isQYsIKnrZQ25p32Lap5if3/XB+5Jl/MfRGgZOCfcHEijf5YkM3RjrX3+kJ9VyWmdz5LZqV/svQ6rnf9lFU6vnjulKZPWEy16xmDjG8OxlqW/NO0R1fPjey7QsUIwQSfZf8Fca0iPCpO9EX5g79zB3qvTyQWHabrtbm9WZ56pUvJYgwzYmBbkyxbsmTXOMKdG6OdW9a2rf2LW88QXNUarmjhflDP9ea5Ul/bNHrCc17Jg8//IlacfKFwtzBn7j8nfdGuzd+QHQnVnmCPZcJrujSSnTkRleg82uN8uzuk8nJCM25BVdsacfSG2+WfW0bGM4Vx4SVAQQIAAgsU6u3uiO5Y6beLAKIcCv+leJa0hqKX0gg6JR9bRsc2zINvVlQG8WxeO9F9+Vn9t5zLhJPbMvUZV/bfssyVE4M9BJa8FmmVpN9bRvC7WvfZRpqdXTPj98V7b7w/3rD/VcRivMAePYaHIgwYXlPyhsdvL53zZtv4aVgHya08NLzBDHF8t52mnXFKFYKOQAAy1Aq1fz4trnRZ76IIKZkf/tGb3TwukBi6a2ecO8VSi13NN675b7i3KH71GZx/EwTAjChRYRpzrYNxbZMNZhYfluke+P/sQy1Mnv8qc+5/B0Xip74SgARtm1TV+v54wA4wB9fcnOLhYOI1iiO5aZ339WozO1zbEt3BbouCiZXvJkV/V26UpmhGDEY7brg/QhRnGVpdbVeHJ089ODHnFYXb7kn3HcVoQW/5E2salt09efG9v7kTgDASZOXXhWtxYHDCr4OjOmXzPgIxUrh9rV3xLo3f5hi5QimOJfaLIzNj277F9syFN4VHtIaxQlDrWchQhTFiAFBjiwCEGJNqc7J/o5NSi13bHr40b/TlMq0Zah1CCFEiLAnkh3OFBAhzPLetkT/JW/yRRe/jmJ4v6HWM/nZfT/QGqUJV7DrYtnXvvFXDtNxnEZlfv/Y3nvfAwCEkje1LphcfjsnhwcZ3p2gOVfcE+6/ylCr841K+oA/vvi71fzEM68VUXwyEI4SXV3exYggmvC0pJWVnFHTSlpFLWglJUt4SrJN22BcrBezhKclxsO4uWB9uny0mWnM8EEhXhkrHlAKjTkIIYqsT12FCPoV7wfOzfjaNoQvpwXalR8pH2BE2oVpzCTXhC4G/8MKPBAi5Ap0bm5bfM3naM4Vy03vvquUHn6Q0LyH5lyJQHzpzd7o0A1qPT8yeeiRv8CE4uM9F32M4d1JVvR3NWuZI81K+kCzlh0W5Ohif3zpLRgzQrOWOZwef/6rse7NH2FFf5e54HHVqMwfaPlHNXJtQ1f9Ayv6Ok9lnHYrMaslHaF5X7L/sr+GiLCs4GlrNUQcxzJabJxyduSxSn70KYoWA53LbvgKcBzHNLVaevz5r+an997tCfdd6Y8tvglChJV6fiQ3tfu7NOeOd6RWvw0fVAi0AAAgAElEQVQTSihlhh+aOfr4p9sWXf1PgiuyyLZN9YR08recSyx6kivbFl39j5I3ubZenHph8vDDn9CapSnBFV2aGtj6SU4K9DqOYyuNwlizlj1imWpNUyrTSjVz2FiQHfFSaFD2tV8AEWFaMorpF2zLaMb7LvkLihZ8tmVojmMZzVr2cDl99JHZ409/Tm0URhP9l/11uGPdu0xDKWLCfPF0Y+kRwpQ33H9VcnDrpwjFetLj279WLUw805LDWt2BxPLb3KGey5rV9KGJQw9+lGLEYGpw66doVo6yor+rXprdpdSyw0o9d9QV6Nzc8qDAVKMyvy89vv3f430Xf5xmpYihNbL6QlpPvTS903YsvW3oqn+gWTkCTrExYZlq1dSVkqk3izPHnvzH/My+e3S1MgshpjyR/qvcwZ7L5449+U+ecP+VnnDfFQtNPBoAcMosA0JxLgAAtG3bQBBTLn/7Be2LrvkriDBFs3K0e8Ubvi16EisQepntQSjOLbjjKzqXRpcI7thypZ47Onnokb8wtHq2JemIr2AFXydwHKtaGN82e/zJfwSOYweSK26vl6d3ZCd3fkdtFEYXDMBd9eLkdk7wdWHCSIzgbRM98ZUAtEyg50ef+aKpN0upoas/69imNnno4Y/XilMvYkxx/vjim7yRoesEV2QJzUoR2zZVpZYdnjr8yHequfGnWnNGf48/tuQmAAAozh/6WbOWHaZZOZwcuPz/caK/B2GKY3h3QlersxAiQjFiyB3qvTzatfEDmNB/eTrG2CdDS8Jtakotd2zi0IMfqxUmnjH0ZoGieX+wbfXbEKb4iQP3fzjee9HHWoxQWlxYnJ8Wa+EEoy41sPWvAomlt5iGWpk+8ou/KWWOPcJwrnhqYOsnZX/nJsexdMvUGvmZfffYtqXranVeqeWOakppCti2SRjBF2pb/Q5MGMlxHFttFMbr5dndweSK21nR321breJrs5Y53KxmDs2PPvPFZi073DZ05Wdcga6Lkv2X/Q3Dez6kNUunXRxDhBJiPZs/7NimhgkrlbPHfpmb2ft94DiOP7b4JtnfvpHQvLdemtnhjy+52RXo3GzqSmlu9Nl/LaWPPGCZWk1wx5Z1Lnvdv1GMEChnj/8yM/HiNwCEiKIFf6ht9dsIxbq0ZmmqWcscqebHn+FdkUVc+5p3AYhQrTD5/Ozxpz5nWXrDHey+RHBHlpwwLqc5VzyYWvkWhMneU23MIMKIDOeKQ4gpXgr2m4ZWs6rpA+5gz6Wyv2OjO9j9EIRoG8UIMsN5kq5g10W9a26/WvImV7fkrC8DE9YV6dzwXm944Oqu5a+fxhQrD17wJwFCcR5EWvP0hSYthQgtgJZsynHsU597YkLz4fa174h0bXi/Y1t6dnLnt6uF8WcEV2QxoXlvfmbfD4rzh+7zRgauzU7t/q5lalVfdPD6RN8lfwkRobVGcXx+7Nkvt+Y0tbSpKyXTaBZNo1lsbk8ftm1TbakRGNEbHbpRdMeXz48++69KLXvUFejcfIKtZBpq1bFNTfTEVqQGr/hUaz7125UUr4RtmppeLowIqZ5LtGL2KOMJdFOytw1iQuuVwpjZqM5jTvRjlvNChLHcs/hCwotBvZwfUbOzexlPsNeolidPZ5+vhlPWXDYnR59yLV11BxdPrcGCGKS9/i6jUp5iY8nV7pUb3kN7Az8xSoXRk1HAISYU5ngv5oUA5gU/5gUf5gW/d90WL6JpAVG0oOUzhxFFf9c2zk16ymuBYsRAtPvC90Q61r8HIsJUciNP5Gf23VPOHvul49hWMLnyLTTriulqdS4/s+8HhOa8kc4L3uuLDFwHEaHnR5/78vzIti8YerOEMKEt05OCqBWPaFmGQnPueGroir8XPbEVnBT8J6WWffUbxLGtE9RotVH4/8y9d5xkVZ0+fM7NsW7lHDv3dJjYk5nADDAwZBRBEBDF8BNcxbTuurquvqyrq6y6u+oq6oriKioSRMKQhoEJTJ6e1DlVV85VN4ffH7fbxQQ9uPu+7/fzmf+6ps4999a55zzfJ0ykR/d+TVObBWAB6/UbbwRBcUYIDfrja25zeFMXAYignsjA20xDk1khvJxzxYYwgnZDiKC6Jlcr2bNPFmaPPdQoT+83dLUFLNPgXLEhzhUdAsAyNaWZW0Rjlzhn3kBq7Y2B5Lr3Uqy7TWoUzhmGJr1ee40gKE7SzqgtqG1km+WZg6X5U7+qFcZfYITQIMm4EoYmVcVadlhuVaZMU5Nozted6Lvin3yxVe/KTR38LkYwv9BV8S9m9GAE4wym1t8R7tzyMQxnXPXixMvF9ImfVbLnfmsamuQO919LMq640ipNFNMnH0YQjAy2bfiAJzxwPUYwnvz0a9+fPffcfZrSLCAIihMUHwQQwIWYZw3DGVe855LPcc7I6rmRF/4JQuTUGx2UIAAIRjBuiCCYL7byZgTBSHe4/zpNaWQnTz76EVmsTAVT6+6yt7G2JHCp12roSrNt+dUlAACYH917f27q4Hdtyr1dOMn62lfe8G13sHc3K4QGu9fe+rOF+FBSbpXGCzNHHyzNn3qE5n3dgeT692lyIzM1/OSnxHr21AJ4UsJJ7iWMYNwU424jaCGMk5zfG11+o+Bt21KYO/5frBD+T7GRPWOZpoEgKMa6omuS/bvvcIf7r8Nxxq3rck1VmjnM0GWIYmSrMneklDn9WDU/+qwqVWcXqJDQVvSjBOMIDvDuxHpnoOsywdu+FaIIaVqmhqA4xbvj6zhnZJXga7947txzX0QQ9MBfCgwiKE6jGMmhLJ7yJ1bfBiwAnf7OHaX54UeKcyd+/noDwoW0ib8I4MFwWvDFVl4TTK1/PyuEBsV6/oxhaOLrEwEggmAELYQtyzQ1pZmvVeaeK2fPPF7JnH2C5nzdlODvMXS1JdZyw5rczBu62qBYd3us55LP+WKrbs1NHfoeQfH/9VbYTtCWycPfpV3pcn32zDOf01SxFGrb8EFGCA0uykYhRHGa9/cqrfIUhAgmNwoj1cLY87raKtKcr9sV7LkCxSnB0JR6ozJzUJXr87wnsYFkXQm5WRqv5keeLmVOP96szB6CACK0I9AHIUrQvH8ZRzCuxWjeSNe2T+Ak+9EL6Z7rmlwFlmlgOO367w2TIxhq3/weX2zFzTjJ+lrV9FGxnh22fRs0SaznThu60iQZV5JzRVcLvvaLnf6unRBFqWL6xM8KM0cebJRnDpqGLv/eGo0SzIJPwFsuBMUpd6jv8kjn1o+zQmiwWU0fy4zv+0azMnuYoIWoJzL4Ns5pH0L+oCxDk6qWBSyCYv2WaaitevYUyXpSECIOw+7Il0jGlSAZd9Lp67i4Vhh7fn583zcRBNv7Zr4ci1Uazr0qFZpzhmaqHInRtJcN4wzO8zFnVyvbmAImMNkgnygcy7xUOpM/RAqUxzMQ3Ci0u/tb6fo4FxO6xExjinRRvtyhuWdrk+XT9anK71HrhQjbLkS59kPfO/P/1Odbk+42oa/rkujbfD2ulX/J3P5/UawQGkj07bqP4QN9rercYbGeP+MJ918nNvJnI13b/5qkhWhh9thPZLE86YsO3ojitNAoTb2qiOVJinWnTEOTKNbdRvPerlYte6qUPvWLRmXmEMW424Kp9XfhJOcvzB79SWHm2E+a1dnDpq61LMs0cIoLGMbS5fOmoYqLdHQExWlnoGuXrslVuVkcqRUnXmpV0kfr5an9UqNwzjQ1GUVJ1ts7+FmCEsKGrjYzYy9/vTB77KFgav37/MmhOyFE0Fph/EWxnjlJ0EKEZIRoOTP8WDU/tkfXpAqCoOQiM8OWrjQybzQ+CCFkhHB/avCqr/Hu+FqpURgtzB37Ke+Krwu3X/QRkhGilmnqxfSpX+amDj1gGpqEoBjJOiOrcIL1ErQQtVkdyU2MI9hvWZahKc28KtXmVKk2bxiqKNVzZ+hQ3zUmiiuz5/Z8sTh77CeGrjYpztMui5WpemH8JW9sxU3B1IYPNm2ZxVMX8izwnuTGeN+uL1CsO1UvTr6sSrU5d2jZ1VIjf87Td/l9GE4J+ZmjD2pKMx9I2HNYL03uI2ghSrHuNss0VIb399C8r6tVmz+Rnznyn63a/HGGDywLptZ/AEVxOjd16IHC7PGHWtX08QXvNIPmvB2moV+Qd5Cpqy1DU+oLErvn5FZpEicYlzvcfy2GU87pM09/Blim4Qz07ALAZkkvHAyXvH9HcUqANqmJ9CeG7vDGVtyEE4y3Xpp82envvESV6+lK5swTeGLo3baUT1dQnOTdod4rTUNXmtW5w1Ijf94XX3kLhtGC1MyfL82f+hWwLLNRmt6vqa2iw9u+Ndqz7VMU5+ucHn7ybyzTUNoGr/k66wwvR1E7Qr1VSx+bOPHI3eGOrfc6A52XQoggilidtc2719xemh9+NDP+yjcxnHYFUuve6/J3XsI6o6ttFo5cq+ZHny3MHv1xrTix1zR0hXPF1kS7tn/KGejcWc6cebySPfskxXo7vJHlNyIYwYj17HC1MPoszfm6TENtFeZO/Mwd7L3Sn1hzO4JghC+24ua6HWv++IXcsz8sXbWTpqRmcbRRmn5VlRt5mvd1ekL916pidTY7/uq/2TJGu0FmR8wjKLhAgAcjWE+sZ8dn/InVtxmaUs9PHXoAAIgklu36AsV5OhAUo5uVucNzIy9+WZMbOQAsg+b9PRTjbkMwgnMueHHZ5xqImIbaklulCUUsTwFgWVKzOEJxnjaSdSfy04d/lB554UuqXM/Y44VIaf7Ur2jO2+kO9V3Tqs0fR1D8/gv1yoIQQQiKD4m17Kn06N6vivXsaU+4/zpvdMVNOMn6FoFRzhUdYhyB/tL86V/np1/7AURQ3BXsudwVXHYlw/u6IYKRmtLM4yQf8sVWvQtCBC1nTj9WyZ79bbMye1BTxTLJOBPB1Pq7/PHVt2O2zBWiOCX44qtuxQjahSAEQ/O+LhQjHfbYIHT6uy6lOV8nAGB4KddDUHyQc8WGIIRQ1+R6vTj+om2n0XUpsABghfDKqjPyFOeKrXV42y7CCMYNIYLpqlhuVtPHKdbdhpO83zJ1FUFxiub8PTTn6zI0paGrYknXpZqhq03T0FqAZH0Ywbhfv3c1NKki1nNLlsy5gr27I13bP2kaulSYOfKgBQAIJIbercr1+dlze75QyZ57ygYr8+cZIdjnCfdf6/R3XtIozxyoZM89Kdazp2ne3+2NLn8754ysRlCcqRXGnq/kR54Wa5mTmtoqsXywP9y55V6Ht+2icub0Y4K3bVsgufY9qlRLYzjtMnWlOT++7xumronJgSu/4vAkN4U7t34MI5hPXsiZ1NSUZmt27EXSE1imNWtzpiLX3IPr7zJVpSnl5o5ozVqa9AT7cMGddPUP3cGllu2GECKE4Ek1p0f2aM3anFrJL8kQ/81qSQAPRFAUZVlerZQnnKs3vB8AAA1JLEEUIxCKdrrXb/krvqf/GqWQP+u/9Nq6/RmIQpxgEILkI+94N48QJI9QtIBgGA0QFMN4IQwMXbXjP03DEFuF5vnTj4MLeEG8laI5b0dq8Kq/cwV7d9uo36v/Xsme+62utkoU5+sMptbd5fCkLspNH3qgnDnzGOeMrg62bfgA54oOaUqrkD7//H2FuWP/haA444kMbGtbcf1uwdb3tgMAEV1tFXRNrrOO4MACUBSled+HpUZh9E+Nx7Isq3f97ZplWRZn0/8jqlzP2vGCFI8RjIdzxda2rbz+Eoc7uZFi3anFxYakXYlo946/sSzT0JRmXhGr0xTjSgLLNDWlVWiUpl4xDDtu0B1adrU/vvpdNO/rskxDlcXKkhBCCBFI876e1OBVf+0K9uw2DV3KjO37emHu+E8ZITRoJ2h07FhYfAAANqUvN3XoAUOTaxTn6144lKwmaCGiiOWpzMT+b5Xnhx8xDU1iHME+d7j/enewd3eif/eXeHdyA81575OaxfG3eo9JxhmN9176CV9s5Ts1pZGdO//CP5Yzpx/T5EaOZFzxUPumD7mCvVeW0qd+WZw78TOKdbcFUxve7/CkNhu6XJ8fe/lfclMHvwchgrhDy3anll9zheBt20pxvi4IEUzTWgVFrExzrtiQN7L87STtjE2eeuyjAIDDf25MFrAMRSxPAwCAK7TsKsYRHCilTz5czY89xzrDKxbN/FAUZyxgmQhcuuEdRFBsYMsH1wIAEUWsTC9o2RGa93VDBCUUsTKlK83Cwt/iGMF4TF1pVvOjezLj+76pyvWML776XQ5PcmMld/6p/NRrP9CUZh4jaI/Dk+gQ/J07O1a9bRXN+boxkvOahibZ0b0AkrQrFmrfdI/T37kzP334P2nO+1iwbePuYNuGDxIkF2iUZw40q3NHUJwWeFd0SKxlhsuZM4/ViuMvaXIjg6A4hZOcn+EDfYwQHEAQnKqXJl52+rsuoVh3aqHrU68Vx48UZo4+ZJq6FG7f/Fe8J7nR6e/cQTHu5NTwEx+HCPrkXxJxqGtSVVeaBYrzdUa7Lv60WM+cyk4e+I4mN/P++KpbGUewnxXCKwCwD0BvFd+xU1/cyUTfro96o8tvsizLyE0d+l528uB3ac7bJfg7tgve9m2sEBr83dhUqZybfu37uiKWCJIPpgav/hfOFV1NMu6UKtfnc5MHvlOcO/mwrks1mvV1usN913rC/dfGey/9PO9ObGCF0H1iPTf8VvxXIEQxACFSyZx9wuFNbo73XvI53p1Yr6utcqU8vd80dNkd7N3drMy+NntuzxdIxpVweNu2uII9lxMUH1LlRqaWH90jNnJnEQSnBF/7NhSnhFY1fbScOfN4ozx9QJXq8wQtRIKpDR9weJKbad7fQ9BCxDI0WaxlT9vWRN5Od6jv6npxch+CoD9YKqC38Huo2SutqTOOYF8wtf7tilidGT/2qw9iBO2SmsVRVa5nDE2uQQQjHJ7EBl905S2sK7KKYr0dKEZyilienhl+5tOl+eFfLb7sEQTFUIwgIURxCBGMZJwBFKf4P2XOvZSyjb63vD+Y2vABknHGDF1tWYYuOf1dl/riq95FsZ52guKDlmUauiqW5FZpXKxnT+Mk6xX8nTtZZ3RVx8obvo2gGE3QQtj2bgNAbpUmM+Ov/qvD17bVNow0dAuYhuDvuJh2BPqyE/u/heLkfywF8J947OwD2ILXDkpiNIqjhAUsYJmWQbnogCPl6kMwhHB2epYbii635huT1bHT39IlvQUAAOUz+dfYMJ/SRLUOMRSfeXrsJ7qk/h77D6IQ1RVDTmwMXVadbYw5o1yHZQFgGZZBCaQbQgCUplb//7sfD0E5gqnBqz7JOqOrbLNfSgi1b7zbNHXZGei+DCNoV7Myd5hiXSma9/VU86N7xFrmhNPfdak71HeNrslVqVkcqeVH9oj13GldE8s05+uKdG79uODr2E7SznitMPZc+vwLX1Ll+rwNmFgWAJZlaHLVNDR5qexG01CbwLIW1k/LqBcn92Un93+rWU0fV6XarKGr0qLBMs35uwPJoTv9iTV3AGBZ1cLY86XMmUcj3ds/6Y0sfweECFovT726yGwtzw8/0qjMHHo9MItiJIIgGGl/tyZrcv2PEpReXzjJeqOdWz++EKWMoDjFhzsu+giwLHN+7OX7m9X0MdPQZUWqzuiqWEUxkvOE+q4NdWz5CIKgJMk4owhKcBBC2KzMHSlnTj+mqa2CrspVCCFK875uh6ftIoigeKsyewgnOa8rtOxKnGB93ujyd+AUHwAL0kiCdoQDybXvwQnmoPamDG27KNadbF9x/ScZmzELcJIPhNo33WPoatMdWnY1ghJ0ozx9gOEDy4Aj0F/OnH5UahZHPKG+a12B7stUpZmVmvlztfzY82Ijf87Q5RrrCA3Gunf+ncOb2kJQfKA8f/rR9MiL/6SrYnmRuWhZpklQXOVCuukA2KCbaWoyghEcxXo7eU8CiXRtv05ulcaL6ZO/QFCcdoeWXcW5IqsW7id/oUbLGEYJwLYU8AeSa98rNYsjuamDDzTKMwcVsToDAQD+5NCdhq40aoWx51GM5F3BnsuBBSxDVxqWaajAsozCzNEfS438WblVnrRMQ0UwnGWF0EC4a+vH3aFlV+IkF2iUpl81NKmsSLW5/MzhHzLVYL8/MXSnKlZnps889bf10uQ+ACCkeW8XxXraaM7bSfP+HkOTqgTJ+4Op9e+jef8yBMEIsZ47g2KUoCnNfG760AO1wsSLhi43aM7b4Y8P3eEOLbvaZlzNHrYs0/BGV9ykyvX5Uub0o6auNhkhOEAx7rZGefrgfGn6flVp5nVVLOMUH3D6O3fiJBcItm/8EMW6T8qt8lvu5NtenqZO0I4QxbpTnnD/umBq/ZZqfnTPgpSoJ5BceydO2gEOGMG4IUAuiH2KICgWat98mze64h0QojhEUMId7r8OI2hXYfb4Q9nJ/f9hmrqsyY2sqjRyEEDIuaJrEn1X3IeTXAAjWK+dZgmhKtczxdkTP5Nb5SldE8uWaWoE5Qg7/V2X4CQfUlrlSUOTa65gz25T11qeyMDbWCE0aBq6BFGchghK+OOrb6tkzz4JADhxIddhWZYl1fNnMuOvfBOnHaHkwJVfIUg+KLeKY7XC2PO8O76OYj1tlmlZzcrcYVWuzYc7t3yMdQT7CVqILABjAAAACIoLBFN2PL0q1+db9eypRmXmoKlrojvYc8WCefAQRFDC0KRqNT+6Jz9z5Eea3MiRrDvlja64yQas7d8sitNOguZD7uCyqyBEziyFcWtZlqGrYrlRnjlQmDny40pu5GmG9/ekll/7TcYR6HN42y7iXNHVilSba5Sm9ytSdVYRK9O6KpbtOdWkWnH/v6MozoTaN92NoASryvXMzJln/16sZ04autI0DU0CAEIMpwSc4oM05+2kOX8PguFMNTfyTKuaPrqUuad5X2fXmpvuhRDB0yMvfFmRqrMk7YzNntvzxVZt/phpaBLJOGNOX8cOh7d9K0HxIalZOD8/9vL9ilSdc7iTG+N9u77ICeGVKE7xi/8vyQzd4QkPXCeL5WlDV2ok7YyTtBDTdaVOc77uam7k6VL61C9Yp72G5aZf+0GtMPYCzfm7Fak6y/D+Hk9k4Pp6aXIfRNCHrCV6xFmGoVGewEuEy9tpakpLb9bSzp5V74QoRmr1yjTf3n81F23bgqAY6eha/vbm1PlnUJJyWKZlQtRmlcrF7JKAvDerJR0iMZ4P+Xdd/00m0b7FbuwCRMnNn5Cmxl6kkx3bxamx5x39K2/munqvNFW1iZCUoDdqaYwXIqYklhCKdhpis2AZuqrkCyfFqYm9joFVt4hTo8+jDOtFCJKno8n14C1ujJdaJC1EkgNXfcEd7Lmikh99tjB75MfN8uxBCCHiTwzd4Y0uf4cmN7LzYy/fDxEEj3Rt/5TDndgIIERa1fnjpfnhX0nN4lgwuf59vDu+zgKWyfD+XtKOAYWGoYmWZZmGJlXFRv4sK4QGWGd4OUm74gCAPwnwAGC/TAGwLJxkfa5gz+WcK2r6YiuWObxtFzk8qc0EZRtCKVJtrmAny4Sc/s5LAICIoUnVcvbsE5XcuadcgZ7LSdoZQzHKQdJClKCFKCdEVnoiAzfgFBdYoOgipmloilidebP5sinR0dWJvsvv492J9Qsd32+0KnNHcYoPYBjtpDlvJ0YwbtPQFUNXmjbQVJmCEMFMQxNZZ2Sl09+5A0EJTm6VxgrTh3+EYiTHuePrUIzgOCG6yjCU5uSpx++NdG79hC++8hYExSiSdn5Kkap/ZBj8ZkVQvD/ee9lnvNHlNzYqs6/lpw490ChPH7BMQ/XGVtzki656p2Eozcz4vm9YpqmH2zd92OFr3wohgouN3Fk7hm/moC+26haHN7UZAAAo1tNOc75uCCE0DV2xWQ2GKtayp1innXJEsd4O8AYAD7AsUxFt2h0CUdzQlTqKUbzD17ZVrGeHxUb+nCu07CoAEQQCgMKFze9SatGXBViWYZq6DBEUdXiSG0Mdm/8qP/Xa94EFLPh7gJFlVvKjz8yP7b2f5nxdsd5LPmsaujI/uvf+RmXmIMk4457IwA1Of+clNihXmRYb+bOLHYVSZvjXhZmjD0KIYIHkurt8sZXvZByhwXjvpZ8Ptm38IE6wPgAhzE7u/04tP/qsJzL4NpJxpQqzxx4qpYd/ZehynWRcCYcnuVHwtm91eFNbUJwSFLE63azOHdE1pVZKn/oF70lsZBzB/pnMU5+t5M7/FkKUIBlXolmdO8K5YkMIihIU5+2M9V76eU1p5sEFaJT/sHRVqmqqWKQh7EZQnFblZo5zRlcrUnVGahbHCNoZQ+1oe4CgGAUhgoE38TH4w4IQQRgh1B/vvewfnL6Oi5vVuaPpsb1fbZSmXsEIxoPhtJNiPe04yflN01ANXWnqSquoiJVpCBDUNNQWzXk7nf6uS1CcElS5ls5PH/6hZVkW74mvBwBCzhlZBSBEJ048cnekc9snPOH+61CM4KaGf/NJAMAF69NxkvU7PKmLiAgfCCTXvQ9CiBTnTvy8VhzfSzGuuDe64iapWRjJzxz+T090+ds9ob5rTVNXGmWbcqwrrQLF+bpcge7LKNbboUjVmdzUwe8qYnUWw2mXw9u2lWTcCRQjuAXvq4tQFGdqxYmXspP7vyPW82dYITQYX3bZFyjW0x5Irr2zVhh7HgCwpORGVarPt2rzxzlXbCiYWv9+inUlq/mx5xSpOqNrUqVRnj5gmoaGYgTNOIJ9gq99m80IcMbtRAYILdPQlVZlEkFxmnNG17gC3QiKkXwgtT5I0kKEoIQIRjJenGA9DB9YZn/zhWFpBOUIRrq2fzSYWv9+BMUZRaqlIUQwx4KOH8UIVlPFcquWObkIRmE47XR4UpsXvJJyYj0zXC9N7YMQxW2a/yLAU5mslyZfcXhTF8nN0nitMPZ8szL7msPbvtUXX/nOaPf2v0YxkscI+utv5odmqIYC7Of+j1hUySvAlSYAACAASURBVF1dq+Viax7nSRftYcJnf3z8S0pFKvwhEMP4uSk+JnSqdaWM0RirNuTfOyQTLM5XZ5tjfICJOaNceyMnzsl1teJKOnrW3NHzSRRHiOFHJr4HAPgLTDX/dwtBcSrUvukWd2jZ1QiC4pZlmTjFBxbSanAAIGrY/mLFan7suUru/NOa3Mg4vG1bCFqIpMf2fq1WGH9RV8UyQfFBzhld5Q73Xcu7ExtwgnEvPps05+tJDlz5FVWuZzWlmVXlRm4hkeqC5NeGrv2OwQMARFkhtNzp77xEleoZQ5OrrBDu9EQGe5z+zp02uOSIQgQjDU2qNCuzh2I9Oz7jCnTvgghGmoYqGrrSKKZPPlwvTrz0p8y9bcDFlgLoqlReSPz5s+UJD97gCvbuBgBCuVUaU6V6hnWGV6hyLc06I6tQjOQhitOmoYkOT+KVaNe2ywOpdXcZutqqZM8+4Q72XklxHg4AABhHYBnJuBKWZRqLEaDogv+c1MyfN3WliRGMm0VxhnVGV9O8v1uVanOKWJ2VW4VR3hVf7/CkNvOexEYAwG/ebG5RnORi3TvfL/jaty+YgxoE7QgjCEoSNBoBACKa2iroSqtYzpx+rFoYe15XmnlXcNmVGMG4Z8/u+Yd6afJlQ1eaBOUI8+74Ok+4/3rOHRvCMFpYkIRarDOyMjV49b8sHqY1uZn1RgcLvDuhWr8D7y6gLMvCSdabHNj9ZcvQ5QWGux7p3PbxBdPi9sU1BliWtQCALblQW6IFdFUqT5956jPV7Lnf6rpcsyzLdLgTG8KdW+4laSGaHnnxK/XS5Mudq2/8vio3c7XC6POl+eFHWtX0UYigOIpTTpziQzTn6yZoIcp7EhscnuQmnOC8qlyfL8we/2lmfN/XxVp22LIMHUVx1h3qu7qcOf3r+bF9X9fkRo5zRlcLvvbtGE67ALDtBizbFHneMFRJrGeHG+XpA5zTloBlJl75ZiV77kldFcs4yfm8ybXvCSTXvZfhA70QQUkIIdRVsdQozxwQ69nTC4a5OwRf+7Z6afrVenFir6HJVYJyhGlHYJmpa9L06d/+jamrLVewd7fdJOndjSDY98wLBOdedwNNCwDAOIIDXUPv/IlpaFJh9uhPKNbT5outeifviW8gKSHy33tNy1xk8yy1WGd0dSC59j0oRjp0tVUU6/mzNOfthAiCkbQQdfo7dxqGJmI47arlR/eQrDsZat94N8W4k8X0qV/SnKeDoNq3AWAb9Prjq283LVOz96wQXYykV8TKlCJVZzHClseTtCvOuxMbTENtqnJtXmoWzrPOyGqScSU8keVvfzNG/Z8qgnHGQh2b7lGkWrqaO/+0WM+eojhvly+68maCEiKWZVkWME2ScSUZITSA4bZ5NgAAmIYua2qrDCxLhwhCoBjFIyhO4yQfTPZd8SVfbOU7FbE6I/jatxMkF9BUsdSqpo8WZo/+pF6a2kdQjrA73Hct64ysUMXa3OzZZ/9BahTOU6w7Fe/b9UWc5IO8J7nRZhOB3Jtdi1TPnh5++Ts7dE2uGppUtdPd0GKzMnOIcQT6IIRoburQA/Nj+75h6koDI1iPw5vczLljQ6rcyE6eevxeBMHISOeWj0Fbegmkev5sce7YQ3/OdxNB0Ofggq+aaWjSUkzzUYxkYz0776T5wLLCzJEHc9OHf2gZmmwBYKI46eBdiXWuQNdlDk9qs6aK5UZ56tX50Ze+qkiVacYRGoj1XPJ3gq99O4oRrK5KFbVRmMdI1ocTNrsLI2gXR0Rci9+nKa1Ceuylr5XmTj6MYATnDi67EsVJR3r0pX+2TEPzRgbfRvOBXmRBQYHhtDuYWv++RmnqFQDAkkkHSqU4qpRyZ+hgbAiPuDZbpqk3Jk7+BqFoFxvr3E66vJ261CxImemDCE4wciFzCmIYhWAErVQKI3qr8YYNj6XW0kyWJalstBpZOTN7pHb8tR9y3f3XqIXsaYSkeK1antLKhTGlkDujVkoTptgqoiwfkOam9lPh2Bolmz5GRRLr5fT0AYAguKXrsmUZupyZPazk5k9gvBBxrd/60f+Ji3mjIihHMNG36+/dod4r68XJl6v5kWdJ2hVHvDi1gJjGirPHf2roatMV7LnC1qMiqGkaar00sRdBMNLhSW4UfG3bxHr+TH7myIME5QgxvL9XlWvpSvb8U43y1CtyszSuiJVpX2LNbawQGljwwnxD0ynT0CRgARNCFPMn173XG1t1C0k7YwAAqEq1uXLmzOP18tQrrcrcUVksT3StufnHAECoqa1CeuTFL9cKYy+E2zd/2BsZfLtpakolc/aJZi19LNK17RPAskBpfvjXzWr6SLh9092B1Lr3WZahqfIbx+5BCCHniq9pW37NN1ghPFgtjD43c/aZv0cQjIp0bfuE4GvfpiliqVlNH8nPHPkRBBAxdKWuyvWMItXmcILxeKPL3yH4Oi5GUIJbXIidwZ5djCM4AIDdZyzM2KZzlezZ3+iqWE4NXn2/O9x/nSJV51Cc+oKhyUuXkRGMK9qz81Pe2IqbxXr2VCl98hcELURZV3S1N7r8HQzn7y6mT/5SU5q5BbNln2XoCrAsq1Yce86OJgz28674OrFZOFecPfZTFKeFUNvGD2lKM1/Lj+2pFcdflJrFMblVGveE+65NCld9FUDbSemNxmZZlrmY4NOqpY9nxvd9s16aekWVanOsEF4ebNv4oUr27JMoSnAU605iOClAiCBLeUmhKMlBiOAWMA0EwUh3sPeqSNf2T6pSbU7wtW/j3fH1NO/v+e9uLkR4d3x9ou/y+yjW01EvjL9gR406455I//U4yQdwig9Uc+efzkzs/3ddbRV98VW3LqS43KerYsXhbdtKMa4khtNORaxMS83Cec4ZWU0vaKXzM0celJulsXDn1o+pciM7e/aZz0qNwgjvTW12B3uv5F3xdRTn7TBNXa7lR/dUcuefblZmX9M1qeoOLbvaNtAsjuamDj0AERT3J4bupDlft2moTcYR7NeUZl5uFcccC2yXSNf2T5OM825FvHBQEAAADF2p66pYNnS1VZw78XBh5siPmtX0UcsydV9sxc0k60oU0yd+Hkytfz9EUHxhY3tBHgyMI9CXGrj6foc3ualRnjk0ffq3n7ZMQwu1b/6w09dxsWnqaqs6f6yUPvUrO8JSbWpyPatItVkUI3lPuP86wd+5A8UpwTQ1SRGr0w5P6iJWCC8HECLAssxi+sTP66WpfbX8+AuaIpZSg1d9zRnouiSiND+GEczHL1T+SNBCJNG364sIgpH10tSrhdljP4EISvhiK98peNu2QAQjpUb+XKh98z0k40qWM6cfLc6dfFhTGhnB17nT1dl9OeeMrMxOHvhOvTz1KkYwbsHXsQMAAFSpnhbr2eF6aWofQXL+QHLdXQiCUarSzNmdFF+nJzx4PcW62wg7TQyyQniFfdADX1/K+HGS9TN8oI+gHJFAcuhOXZUqDB/sAxAgcqs8MT385Kd8sRWR1OA1O3l3fC3NeTsBhKhlWQaEALUs0wQQIoK/42KHr22rrkoVAAFEEJwEACCLokIIIbYYHW9ZlmVruZdmOIrhFB/r2fnRYNuGD2pKs1BKn/quoSu1xWSYSvbcbzh3fF1h5uhPTFOT/PHVt/nja24HwDLFeu6sfZAef6lVy5zQ1FYp2X/lV3S1VZLF8pQmN3PV3PmnKNaTUuVGxjZKlGtOf9elrDO8HFjAQnFKCHduudcwlCaCYN9YqlzrD8vV61tD+dhI8WTulcZU5axUaP1J2Y3WUqu0n40iOEqSTspjHNFfAK8z+5dragVBICLXlDJGoQzOYBwEAFimZeAUyigNrQqRv8zn6H+7HO7EhmBqwwcRlGBVqZYuzJ34udTIn3X6O3YIvo6L66WpV0rpkw9XC2MvqFL9d/OEoNi+Vm3+BIQI5vAkNgq+zot5d3wdxXk7FxM760qrYOh2yga0ASOCoBwBVoisIBln3PawMDQEwZecbGQammxaNituIXHS5U+svVPwde6QGvlzBO2IkIw7oWtSDcNpYdHMV9fkmjcyeCMjhAbtjvHos/XS5D476rg6AyFEIYLgCIotvCVRjOH9vdHui+8hKJs5oIilSfAGAARB8f6uNTdfj2A4W8me/U1pfvgRV6B7F2J7y3VRjDulL3jpNcoz+0Ptm+/xhAduQFCMtCzTCCTXvkds5M9VJg58W26VJoBlmQTlCFGct4t3x9dhBCUAAJFGYfylmbPPfE5TxaLgTW1xh/quMU1Nnj377OdrxfGX5GZxBCIYFevZ8ZlAct1dgrdjO4qRL76ZF4/T17kzkBx6D0QwUm6VJ4tzx38mt8qTNgMmtqZWGH2+lB7+Za04sff1Bvkoij9dL03uQ1Gc4T3JjYKv42LeFVtLsu6UrkmVVnX+mK62SoamNACE8HfPAu2Mcq7YWpJxxhCMYC3T0C6UXQMhikMUIyBEUIKyUwYhghI4yfps2Z0jTHO+LhsUgKjtcXFhQASGUwIAECpiZaqSPfekpjSLGMG4fNEVN4XaN91tmroyc/qpv60Wxl7wx1fdihGMx5bHTu0naCHi7LL9pyjGlcQI1oNiBPd6JoVlmUarlhmeO7fni3KrPIliJOcK9u8KJNe/T24Vx7MT+7/F8IFlXGzVLYrtB3NOU5p5BCNYsZY5WZg9/lC1MPq8oSl1T7j/Wm90xU1iI3929vzz90mN/HkAIXT6O3faiU/t214vUQEAAMNQWyTjTDh9nTsFf/t2ivV0GJpSs1kPpKNemn6VpF3xUPuGD7Wq88fGjj783qnhJ/9akaqzofbNHw4kh95Ty48+By7QA2Sx7DAGiCIIipOMKyE1CyM4yfkMXW3WS5OvMA7/MkC7YsDuRkBDV1vWBQA8KIpT0e4duynO2yHWs8PZyf3fJmlnlBVCgyhOOjyRgRtMQ5OkRnG0WZk56Ax0XxZs2/ABDKcEy7JMf3zVrYpUnSvMHHtIbObPGZpcxwnOS7LuFO+OrSUZVxJCFFfE8uTU8G8+JdazwzTv7/ZGBt6GU5w/N3Xwu9X82J5Wbf6EaaiiN7ri5sSyyz4veNu2LqTQLn0vaJlGq5o+lp3Y/61GZfYwyThj4fbNH3YGui9DEIzUNbFczY+90KzOHSYoR9gfX30rWPCa0ZRmLjux/9v18tSrwDQ1aKetughaiDo8yY0OT3Kzw5PcBL3IFtPU1VLm9CP56cM/khr5swQtRCJd2z7pCnTvUqX6/MzZZz7Xqs0fRzFKcHiSm7yxVbcsJkCxQmg5xXrawBIAnoXExN9rglkAWAvieyi3KjP56cM/1OR6xuFtu8ifHLoTmKaRnzn8Q00Ry97o4NtdgZ7LGSE0gCAoYZmG3qrNn3ijUJUFVvWS9w4QQij4Otb546tv15RmLjt54NuLnrUoRrKx7h1/608M3YEgKJmfPfrj9MiLX5GbpTEExWl/Ys0dkc4t95KMO6lrUjU/c+TBcubMY6pUm6M5X1ewbf0HWSGywjDUFrAsE1tIKAYAQFWqpw1NrrFCeGUtP7pHahZGAACAc8fXKVJttllNH3EFuneZpqFCiOCcKzrkiQzcAAD48lKvzTINHaWYXxJOTxsdSqyzdE0yFKnq6By8XspMHbA0pUm4/T0IQTnkYuYkRDECY3g/4XCnGpNnf/uXpp0u1pJNlr3bduUs09TVYu6sHoqsVPKZU0yifSvhC/bp9eqsvZo2c1QouqZ6ZP+3mUTbVktVWoYkVTHeEdZbzQLpC/YZUqtkafaka7XqDO5wxoAFrP8J09I/VyhG0JGu7R/wxVbeYpqGZlmmHkisuV1XpSorhJeblq6W0qd+yThCAxBCtF6ceBlBCSaQHLoTQojgJOcXa5mTteL4i6rcyC7ESl/nCvZcrsqN7NTJx+9tVtPHDF2uW5ZlQQRBdbVVXur4DENtWcAyIYAohlPOVqs8WZoffqRRnNwnNQsjmiqWDF2uYxjl8MVX3cq5YkOmoUmZsX3faFXnjsZ7L/17wdexYyFN5yULWCZGsO7CzJEHW7XMqYUOmtm+4joTAAAs09RUuf6GmneSdacSfZffx7miaxSxOt0szxwMd2y5F8UIxrJMo1GeOZCbOvSATYvVFcHXcTHvjq8X/J07ac7XTXGedgTaMchyszgiNQtjcqs8blmmYRqazDojK/LTh3+Yndj/LUNXWw5PagvjCCxrVdPHGN7f64+vua1emHgJQuSppYAcNlV00x2B5Nr3IAiKG7rSCCSH3q2pUiXsCA5AiKDF9IlfUKynjXEE+xrlqVctyzIDybXvgRCiOMn5xXr2dK04sVdplSdxkg+4Q7273aG+qw1dbY0dffi9jdL0q3YUtT0eX2xlcekdD/tFAAAAlfzIM8W5kz8HEKK8J7mJdyfWZycPfEeVanNOf9elAACA2t4jKHhd8s+fKxQjeARBCQAgDLZt/D8k40xYlmkoYnlSU5r5ufMvfIn3JDeG2jd+yNDVFoqRPEkLEZJyhJvV9FEExWlPZPBtqlSbK82f/rVtimuqwDJNRggNJvou/0fOGV1VzY/sAZZlRrt3fJqghSjjCPQByzIzE6/8a2H22EPJgSu/4gr0XGFZlsU4QgOCr+PienHipdz0az+gWG9npHPbpzCSdXPOyCpDV1uV3Lnf5qYOPdCqzB0Bthnp9kBy3V0k44yX0qd+ITULo77YqltRnOTFeu5MJXfuNyQtRHVNrlWyZ55AcdpJ8/4enOQDTn/XJd7I4NsRFPv3t5IQZOhKU9fkmq62ivmZwz+sFyf24gTndQa7rwEQQaeHn/z0IgsEQhTHcMoJAFgyyk5QfKB95Q3/IHhTWzS1VagXJ18OpNbdZaf26Wqrnh3OT7/2A7GeO2OZusq74+sc3vatgrdt6+9+TyjBqHI9Wy9Nviy3SuNyszhqGrqi60pd8KYuKs2f+sX86N77dU0qcws+Ra3q/DHOFV3jDvdfVyuMvwgR5KcXknQCAUQs09DS46/+W6s2f8IT7r/WFey5AkIENQ1NxlCcpnlfj9wqj8/bZqQT7lDvlU5/506SccURlOAAsCx3qO9aguIDpmmoc+eeu6+SO/dbXRXLCErQ/viqdy08t/EF+VGZoJ0xYFkGRjBemvN1objdKYYISnjC/dfgBPOjpcgjCNoRxgjaqSnNfK0w9nwpfeqXofZN9zi8qc04wXm7hm7+sWFosmWammlqUiV3/mmpkT+LoDjDu+LrFKk6Q3G+bs4ZXm5ZltGszL5Wzp79jSY3spraKkIAIcE4E6wQGmQcoX6cZH3AsszS/PCvDE1+UzANRXEqkFp/py+++vZWLXOqkj33JMm4EowjuKyUHn4kP3vkQV2VKvXS5D6c5Pze8MANvCu+rpofebacOf2oKtXnCcYZ80SWvz2Y2vCBamHsuUr2zBO5qYPfNXS1uSBr2O2LrbylVcuc8MVW3oITrJegHEGMYDz5mcM/0jW5Fu646COhtk13S43CeQiRJ99KJH1pOHeAjzo6vAOBjbSXCeMssUdrqX8E0EMUwUmB8uAcIZRO5w+ahvV7nb7iaPVkIytOAwgQBIEIzmA8TmEM2Dv/uFiS84ZuqkpD+19NXvxLCkFxsn3l9bdRjDMBgGUuNDzcVLDnClWqzY289tN3tWrzxxYSgmxjY5wWKM7T7o0M9jo8qc28O7Eep/iQZZlaozx9ID269/5Wbf64rokVm0G6wIqCELHj1CAKUYzEMErgXLEhT2TwBsHfsWPpcSaWaera74AKyzJNQ1NqEEKUYJwxpVWeapRnDnDO6GoUJRixnjuzEJ0ehYwL1TWxPHP26c+W0qd+aZq6TJB80BPpv4Hm/D04xfuRBQAUJzm/zYj1diyCDq1a9pQF/vTzBiGE7lDfxoXkPgPDaVeofdM9BOUIiY38mWZl7ki9OPlyq5Y+bmhyTfB3XOyPr74dIgimyvVMrTD2fHH2xM+atfnjhiZVDUOTALAsBMFIBCNYhg/0hto3fdgV7L2CcQT7XIGeyx3e1Ga5VZpoVmZfwylHkOa93XKrOGYamqiI1bnM+Cvf5N2JdYK/Yzs2vu/r4A2AfhQl6O51t96JEazHsgxdlWpzBOUI07y/R24WR9Oje78q1jInX7+vwAnWTXGedm9sRb/D23YR74oN4STnNwxVbBSnXpk9v+eLYi17StfkmmUZ2uKzACFE7OcBQSGCkTjBuDlXfJ03Onijw2OzkZdaCIpRC15zQFNbhczYy1/Pzxz9MQQACP6Oi4FlGtmJV//d4W3byrvjaxcAwgsCeFD7HQp1TaoBYFk0521P9F3+cV9sxU2a3CpkJ/Z93bJMM9y+6W5ffPVtBCVEfLGVt/jiK29FUZJF7PQ4xNCVhiY3srKujNmHTMtAMYKjOV+3099xcXLgqn+uZM8+6Qx0Xyp427YACFFdbRWjPTs+IzeKI+XM6cdMQ5M80eU36rpSL5x/4R8LM0d/rCmNHO+Or48MXPXPCIoz6fMvfKlWnNira1INI2inP77m9nDH5nsI2hnXVbEstypTpu17BVGM5Bye1GYbiMQoABHUMg2lWU0fy00d+I9mJX2E5n09wdT6D1iWpVfzo3t0VawYhiYxvP+7rkDPLoYP9PoTQ+9GUPxzpqFd8J4GwylhkbndqqWPz517/r66zRZ2eyMDN4j13JlqbvRZf2LN7QTFBw1daS4arS+lcNoRdoV6r4IQohAiiDe64kaK9XRoSjNfLYw9Vy9O7G1WZg6pUn2eZFyJeN+uL6IYyeuaXG9WZl8rzp34Wb048ZKmNAuGobbsNC+UQFGcxilH2J9YfVsgMfRujGC9Tn/nTm9k8AaMYDyN8vQBTRVLtjeVK6WrrbIi1WaLcyf+i3fFh1wh22sSXADAYxi6VEyf/GWjMnPQH199mz8xdCdBOYKqXJuv5sf2lDOnH7P3Mf3XuoM9uzGCdi0wVeTC7NGH0qMv/fMfAr0IgmL56cM/ZHh/b7jjoo+6Qr27IURQCBEMJxi3b9muLzi8yYtwu3mFAgAsf2LNHbaZNIojKEbRnLdjUfJN0Pa6ARH00FuyI7BM07IM3bIsa7HBH2rf9CFXaNnV1dzIM9Xc+adwig/Genf+HU6wXkWqzpCMK4GQrNcClqkq/zOsksXCCMYTat/4IZzig5Xp134gNQsji5YN3ujynd7oindgOCVIzeJYduLAt6VGYQQnWHe446KPBNvWvx8nWJ/YyJ2ZG3nxK5XM2cd1TawsnL+P1kuT+xhHcEBTmnnLNFR/cujOQHzoDoxg3OGOiz4i1XNnK7nzT5mG2rIsy0IQFFNa5UlGCA5IDfHc5MnH7uXd8XXe6PIbaT6wzBMZfBvFun8ut8pTS70+QxarGMPdr1QKI472vqspf2QF6fZ3t+bG91bPHfupb2j7p3DeGTV1TQSWaZqq2iifOvBdvVm74GTrPzvHF/TXlmXp9eqsqShN0h8aqB559Tuebbs+b0hiGSFIXsnMHcM4R9iUxIo8P3fYMbj6XfXhYw8ZolhCScoBgGXRsdSm4otPfZaKJNYRbm+H3mrmgGWaAF6Y9vNCyunvujSYXPc+BMVpiGCkM9C9y06kwmkAAFTEyjSG087ygumrw5vaEmrfdE8le+639dLky43yzAEIEVzwd1zsi61+l62TZb0AAKBI1Vnek9hIcZ52TWkVHd5UieZ85QsxtTN1G/ACEABdaRVy0699v5Q+9StDV1oQQohTfNDpH7zEHezd7Q4vuwbFKEc1f/5pRSxPxZft+qLDk9hgmoZqx4TKtdL86Ucb5an9f3jQRXHKAQCApqGKutIq/LnxoBjJxpdddrfDk9gIIYIQtBCL9uz4jNQojsyee/bzth6aEixLVy3L1J2B7l3xZZd9QVdaBYxgXKwzvNJO0CiM1ktTr9gJSQBSrDvFuxMbFhgYBYr1doTaN91jGnZXmqAXUx4si6C4gC+x+ra6TY2rvdkc2gDG5nsWZUSCr2OH3bnCSAgRVJFqaQxnnNX8+WcquZFnaN7XHeve8Tf14sTeemlyX6M0/aplmbrD27Yl1L75Hlege5c9HgBatcww54ysIihHSFNbRcHbVtJUscjwfnWptGTLsizB21a3LMsiSEeQZN0pl7/rUgQj2MLMkQchghLe6OCNtowOAAwjHQvU6zdFxBcMk3EEQXCMoF256de+X8uPPteqZU5ACBFvdMU7XYHuy8uZM481q+ljkY4t9yIoTon17JlacfzFemlqX7Mye1i1ZSEoTjlCCzTw61yB7l0oRjoq+ZFnMpP7v9WszL4mnvj1hz2RgesDyaH3FOdOPpybPPgfpqWrzfLMIVeg5woUIxj7mdQVzhVba1mmqatSWWzkz+Aq61NalelyZvjRSm7kGdPUJcHXvj2YWv8BV6D7MhQlWLFZGEFQjCEoPlDOnH7Uskzdpk/7uhulqVdqxfEXDV2VUIxgxo8/crednuLvCaTW3VXNjz0HADi5lHvye/fH1BXTUCWIYBRBOUK8J7nRHezd3ajMHi7PD/+acQT7PKG+awAAAEIEe73W980KQXEq0rn1vU5/1yUQQTGc5HyRrq0fU6X6/Oy5Z/+hnDn7OIriLIAAWKah8p7UpmT/FV8yDV2GECK8O74BIiimiJWZZnnmgKo0c/ZvxBHh3fF1rBBZYehyHSf5YLjjog9rSrPgi6++jWJdicXfE0LQLn9izR3V/OgecAHAlAWA1aplTuIk508OXPllQ5MbxbmTDyMoRjq8qS0YwbiAZZma0iw4A12X8a7Y0MI687qC0GYzAmDoqsi5Y2sVqTpj6Gor1L7xbnew9wpbFtfIFdMnfp6bPPQ9TWlkXcGeKyjW3aaIlWlbB41Rgje1meb9vbwnuQkA8MSbjV9ulSfmRl74stwsjdYKYy/omtxw+rtqPetv+wWKkbyuipW5kRe+1Kymj+mqWGKdkZUuf9dlhq62Jk89/jHLMrX2Fdd/GwAAdLVVeQh4UgAAIABJREFUnh/be38lN/Lsn/ouiKAovpAgpsqN3H9LXv588e7EhmjXtk8qrfLk/OhLX6U4f1erNn9yfvSlf5ZbpUmScSf8ib47XIHuS0namaiXp1+dOv3kX6tyI+MJ9V0bat/8YcYRWLbYuXaH+68V69kz1dzIU2Ije0bwdVzsCfdfu5ggUc2P7jE0ucZ7k5vrxcmXCzNHH2SF0KA/tuoWknElIl3bPyk28mfBBdCRF0vMNqeKp3KvevoDG7wDgY3dNw9+XGhz/7w+VT0HIQCUmw6iJEYnr+i6Krgutmv+1eknCJ50aU21CgD4nRG4K8F3eTudA4ZqKBiJ0jiNsYZuapyfCR/4zvAXLnRc/28XzXo6OGd0FUTswxXnig3hJOvLTR/+YXb8lX/TVPGPmj807+/uWX/bLwnKEYYQIpZlGvXS1L750Ze+Vs2P7rmARJ05AMBpnOSeaBu85uve2PJ3LOlTlmUZCzIpVa5nCnMnftaqzB1RpNocRtAup7/rUnew54pWPXsqO7H/W2IjdybaffGn3aHeK3VVqsydf/4f89NH/hNBcTqQXP8+f3zVrQzvXyaLlalqfnRPs5o+pkjVWdtXwzYAdXiSm1CcctSLk3v/HOiMYiTnDHRfRlCcHwAIeU9yo1jPni7MHv2JItbmEATBCYoPKhLrpVhPW7R7x9+SjDNWL07uS4+++JVqbuQZ408brooL/woE7RhNWabui654R6xn52datfmTiljbi2KUwx3s2Y3itBPDWU85c/pRXZPrqlzPVPOjz9lAExcEbxBpzTiC/Ywj2AchRCDECN6T2IgRjCc3deiB7NSBP/K9WjBUXd219pafYjjthhBC0zTUWn70ufmxvffXipN7L+CwPwsAOEGxrqfall/3r+7QsquW+DmAoASDYiRvmrqSmzz43ezUoe/xrtgQzft6dFWqTJx87KMoSrCLbEzT0MQLaaxABMUGt/4fFgAADE1p0JyvK9az8+8Ef+dOBEFxXRFLgcSaO3RNqilSbRZCiNjsJHt/tPCdUq048VIpfepXjfL0AUWqzZm62jRNXSMZZzTWvfMzvsTq2zzhvms8YfvdvZDONK7KjWwpfeLhVi1z0uFtuyiQXHcXAJY1PfybT9WLky9blmV6wv3XJQev+irFuP4vd98dZddVX33Oub283tv0PqNebRXLslwkdxswJkDomNAhAUIJhIQSWjAhQEI1NtUUF9xVbMuWi3obaXqf1/u7991+vj/uG2JsWZqxTb5vfXutt5aWZubdfs85+7d/ezfn50/dUylMHjD0epkgaS7Wue1Dsa5tn7AsXclMHfxpMXXmAamcPK6p1QwEENKcK+b0tlzsT6x8k9PftoVABGlauqrUssMkLQYibRf9ncPXcnG9lh2eG9r3lVJmeLdNPgKga1JOrqbP8s5Qvz++4pZi+uzDAIDHF3tuF9AwTaYMXalMDz76T1Jp/pg71HU5xYghqZw8Pjfy5LdcwY7ttpcWAKahVpfSyuf0tly8MPbwzlC/plRTxdTZh+rVzBmMTZ0gaZHhPM3YsoxE747POb0tF2v18uz86P7bM9OH7niZsASl8SkSJP3Phibn492XfSbaseXDqlyezc0d/y3GADu9LZtET3wNy3ubCZJ1lTLDj8jV9Jli+uxDvviy17GOQBdE6JHFFrMgBFBwRQa84d5drkDHdkOvF9OTz/0oO3P0F5apK/74ilsCidVvojlX/IVqfV2Vspmpgz85l4qv0aKUAwDsZwXvNEEygivYebkvOnCjLzpwIwD2PVwrzhys5icPSOXkccvUZMEdXen0t1/CO8P9plYvlbOj+0R3Yi1BMQ7eEepDiGCA/e5aEjDGuG3F9XUAsAUwxoHE6jeH2zbeJpWTJ0iKdfliK95gWXo9O33kLk2pzEfaN33gz6o0DLCpq0tq+z0fIEQo3HbRLa5A5w4IIdQ1Oe+PrXgD7wwP0Jwzarf0je7V1GpKKs8flyupUwRBc9HOLbdFO7d8FBG0IFfTg+PH7/tIOTuy54Vec41rPtX4AAAAoGjhCwADHGrd8G7RHVsdbr/4/ePH7/0QxhiTNOcKNK25yR3qukIqzR0tZ0b3SuXkcUTSPJkVA7wz3M87Qn3e6MANEBH/sRRyzZBrOQDAHZTD/ZjY0n2lZeh1SnTFSN4R0sqFcbMu5dVs8qQ0M7pPlyoXVGYtFYszWSYIKnDZ1QKXaN3sXrvp/Yjl3VysaT3WNVnLpk8jiuJMRS6yTa2b5Inh3ZBmRDU9f9yUuq/kEq2bq6eP/AqSJFufmTwgtHVf4V590XsIjve512/+oJ7PjZAOV9SQqq/5wQEAgOCK9LevuvkfSEbwq3Jpppwd3WcaasUd6r4KAghL2ZG9udnjv5ZKjeoYxphmHQcnT/7p7y3TUFjB0xzruvRTTn/r5sbiG5qGWjV0uQCw/RINNq15K8aWju2+URLYcbmL9lAxDa1mG+tCyAi+ttZl13zTG+69Jtqx+amO1a9fwTvDAzTrCNOsKwYRIm2DK0OJdW3/FCf6O7R6NSVX04PJsQPfreTGn9RfoB6CCBEEQfOcI9jbsfoNK21JbGnG9v15mXPmjq7yRZfdaFmmVs6N7atXs0OBpjVvZXh3orl/55d1pZoyTU2qFqaepVlXzBPu2UUxYkCVi9MQQkJTKknL0GUMsOWN9F6DCJpfkMhZpl5vEGm7DU0ucKK/wxXo2K7IpanM9OE7q8XpZylGDMY6t/2D09e6mXeFBwAAT5/v/LGCr7V91U2fpjlXXFeqyYbUOeMOdl6GSFqo5Caeys4c+YVUnD2sa3IOYwtTjGBNnnrgk5ap12nOFYu0b/6g0992CWMbppGWZaj1WnYEYIARQTGBxOo32ew3sOyKBSQARAREBAUsfVHG4LhhzOGLDtzo8DZtlKvpwVJq6OFI++YPOXzNGwVXdOUCQYXtSsqiyCOCZBwQEbRpaLW5oX3/lp8/+QeMMeYcwe5ox+YPOTxNGzLTh36emzv5u3DL+ndjgPHs2d1fKucmngTYNFgx0BXv2vYJhvc0k7TgJyjWSTOOMElzXl2VMnNnHvtCdvbor1SpOEnSvNcT6b3GHey6Yubsnn+VK6lTojexXnCGBxqR68AyDVWtl6ZL6eFHi+mzD5uGVnN4E+t5R7i/nBt73DY1lwus6O8Itax7hy+67GaG9zQtDJz1avp0MXX2AQAA8MdX3OIOdu0w9Hqpkp98WnBHVzGCt7V95Y197ate55od2vPl6cFHPhvt2PJRwR1bFWpZ/05EUJ9caooCxhh3rH4dpmjB1zyw6yumVi8VUoN/ohkx2Lbihu+InsT6hjx24dcXXeniRH9nsGnNWxYMSaXS3JGFdIZE947Phlo2vMs0NEkqzR5BBM17I71XM5ynWa2XZgC2LE2tpSxTq2OMTXeo63KEKJ5keC9CJGNZhlrKjuwpps4+qGtSjmHtvndDk3Lz86f+WClMHkAEzcc6tnzETtGLrQYAPLiUM8M7gr26JmWnTz/8WcsyNG+k/zpPuHsnzThCuibndbWWQYigBVd0BUHSArYXixW5nDyhq9WMLe0XAyQt+EiK8wQSq271hHquwpap0awjokj58cZE/XeaUkmKnvg6X3TZTQ3Z7n8ptdwoJCgu2LT6b9yB9m0ULfid3uaLECIfvZA/gSIVJiGE33rhBEBTyrOgQXRnpg//PD9/6o+cGOyOd1/2aYKkxXzDAN4T7r3aG+m9mmv46jQSJl7WOLAx8C86sYykOXfnmls+iDE2Z4f2frmUHdkD0sOPQAiR6Emsi3Rs/ojoSaw1daVcTA89Us6MfN7Q5KIr0LGtqfeKf+ZdkWUNw/NphEiGYsQgRIgUXJEB3hHqMU1NIghakMrzx2aH931NrqRO8c7wgDvYeVlu5ugvFCk/7osvfz0nBrosy1AhhNDhSawPJFa9iSDpb5xPjn3u48dWZbJ01tJMjQ0IEYKl+PYb+94nhB3NuqRVEIUYxs35C4OZ50uj+eMkS/EAAKxX1b9Q47ibHJ3BXs9quaBkLQNrEEGCwvivqvJ9LcGK/s5GiwDQ1Vo2PXXoZ9mZI79Qarnhc51TgmLEYNPadQ2zUWSZupKbPfHb2eG9X5Ur6SX7ZjW2m2MF76crhYmnTF2pXMiTBwOATUOpNv42Mze872sEQQv++MpbPJHeq3Wllpk4cf/HKvnJp3VNysa7Lv1HwRVdVa/lRuZH99+emTp8B8WIwaa+K77gjfTfYBpqZW7kyW/mZo/+ql7Lj754AUSQ9B8o1hFGkKAVuTjxcvvFO8MD3kjvNaah1ZRaflyRbSNdh6dpQ7Ap8BaC4tzYMg1draUhRBTFOkLF9NAjU6ce/KRUnj+xGJNprV5JOv2t/+H0tlxMUKwrP3/qj1J5/pg71H1FIXnmT4Xk6Xul8vxxQ5MLGGOMCIo19HoJIZLhnZFlAICDL7v/rtAASfN2MVAuzaQnn/9xbu7E3YqUHzsXUUNSnEf0JNY1/D2gaWiS7ZWx/9uKlH/Z83Q+qHJpZuLk/R8vZUZ2a/XyHF6EQT0iKK4ReQw8oa4reGewr5KfeqaYHLxPrZdnIUIkLwZ7GN6dwA3jSWwtXsFDkLQIEUnbLa2m7o3038A5gj1Sae5orTh7qFaaOahIhQnL1OucI9jNO0P9GFsGhARl6mq1kDp9fyE5eF8lN/GUplSTL1YcqnJplmYdn9M1KR9pv/jvSIpzN1rHf54af+YHuiplGcHT2rLsmq8L7tiqUnr40XJ2dA9EJOMOdl6uqdVUrGvbJ1je07xg6I8IikcEWQ23XvSecNtFf6dI+fGZs7v/tZQeeth46fM1AiEaK2WGH/PYxrofWShCWZapmVq9OHN297+UsiN7AACQcwS7fbFlrdiyTGxZT2SmDv1McEVXsIK31Rvpu4YgmYMXagV8yTmmWDe0eyNBtHPrx3Slmi4kz/wpO3P0l6aulBEiaF4M9jZiybFpqLXFKjdJmvd0r3/T3wAMcL2WG1VquRHTUCs06wi7g507SEbwQQhJQ6sXTF0pM4K3TZHy45OnHviErZy4MElpGppMMeJPXIGOSz2h7quqhckDhdTgn5y+ti31WnY4OX7ge9XC1AG1Xp7FlmnaiVH1MsAA845QH0EwAgBgUaQEIijeG+67Tq5lzs4O7/1KKT3ymGVqsifUs9OfWPlGVvC2GbpSrhWnn0eN9RRCBFWvZs5cKAEQAABUuTg9P7b/ds4Z6qNZZwxjSy9nR/amxp/5vlROnrAsU/NFB26MdGz+MM06wppSTaYnn/8ptkzV6WvZtJDiyjmDvY215ZIJHgBsIhZjbPKuyDKacycUqTBWK84equQnn65XM2cMXamI7tiq5v5dX3H6WjYh4n/WsfA1FGEIrsjyhneTwzINxeFJrIcQEYqUHzf0epEVvG0064wKrBhiBW+7KhUmEEGy4daN70EELdRr2bMTJ//08Upu7PHFvON1TSowvOeboju22ulv3eyN9F1bK8w87wq0n2lfdfNtNOMIpief+1G9lh8Ltqx/hy/Sfz3De5oMTS7oai1L0oLPFx24wbZPABf0r33J9quleQDATxFFsYhiHBARJMAYW7paNbWlPddLweJMlp2uGMGLgfrs5AHK42tDNC1YmlIVOvuuhiTFIoriIUXzkCRZvrljG4QQYtPUIU0LfHv3FaZUy2BdkyFJMojhXGK3eB02TR1ACKlmVxQAjK26XACLqHguBQRJc/Gu7W90eJs2WpapSeW5o4ZeLxIU68xMH76jmDrzoFxJnbJMe5FAUpzL4W3qcgU7O0VXdJXT37aFdwT7Gj2r+3Mzx34tleePaUolacfvYtwwTaQJkhEXJHQOT/NGV7Bj+2L30zTVGmi8WBstYYEFk9t6LTtk6PUSIiieZIQA1i0JESTrDnbugIiky5mRPXMjT3zTPg5dttNm+jaRFOtABMVHO7a4WMHX7g50XsaKvnYIIazXcsMvNxgTBMXFurdfzvCuJrmSPiWVkic84Z5dGFuGXEmdVmq5YbmSHlSk3Cgr+Ds8zd1XNXq080otP1rOje6r5qcO1KXcKLZMjaLFIOcI9Hgjfdd6wj07Fzxb7Lau9m0IkYxcTQ8qUmG8mp98xtDrxUpu8mlsWXpT35VfdAe7LgfnIXggIohI26br3cHOHdiy91FXqil7onbyj8XU0EO10uxhbBkaxhgTJCOK7linK9DRIbiiK13+ti28K7wcm6ZaKUw9U0ievk8qzR3R6uU5Xa8XAcaWrY4haETQAs06wpwj0O3wNG1wBTt3gCXEKREExUEIAElzHogIWq6kTpOMEJAqyRONa0MsTGIsu3d0UQQPIhmxMfGpqUp5DkBIeELdO+Ldl32G4Vzx2eG9Xy1lRnc7PLbk0NSVsuCJr/FE+q7hRH8nIih+4eVtmYZimXodY8vElqmRNO8V3NGV1cLUM7wj1Gcvzruvys0dv5t3hPqcvtbNcjU9mE8O3ocIitPVaio3e/y3mamDP1XrlTlPuGdXpH3T+5VabnRu5PGvy9XMGQgh6Y32XRfv2v5JwRVdCSAk7AmioSCSEV3+jksFV2wVSXEeuzUHQrOsVAxNypUyI7s5MdDlCffu0pRK0jJ1OT9/6h5drWU61rz+J75o//XF1OCfIIS7F5sgAwAACJFUx+rXMRBBguU9LQq2xhFBCxgAXCvNHnZ4mzdalqEu+DpY5uIq6hAhItK26VJW9HcqUm6sVpw97A60b0OIYKRy6qRSyw7L1fRgvZodojlXPNqx5cMM720zDbWiSIWJcm7s8Wp+4ql6NTtsmbpM0oKfFf0d3kjvNd5w7zUU4wjpSiVp6PWSPSBTvCIVxpRsYapamDqgq7Wsocl5U1fKbStu+K4n1LMTLIHg0VUpO33m0c+XMiO73aHuK+Lt2z8tuCIrDL1ezM+fvqeYOvMAxpbpjfRdwzlCvfY9pNeTY099d27kyW8snCcIEUHSvN/hbd7gjfRd5wn3Xk2zjrBlGdrk6Yc+pdRyo65A+6WJnh2fEzzxtbbZ/ZOPEiTjEL3NGwV3dEUgvuKWhrn1girCD17g3fJyeMl9gDFoNKGoilQY9wS7rwy3X/x31fzkM9npw3fxznBfoGn1WyxTl+0ELptoNXSlaBovbTl6JUCIIIMt697g9LVszs+d+kMpO7rPNDQZIoIIt268rbnvyn+BiGSyM0fumjnz2D9rajXNcO54tPOSj4Wa170dIkSWc+NPZqeP/KJWmj1Is85YuO2i29zBzh2GKucxwJjlPS0QIRIAjOVKehARFG/qamXy1IOfAgBjh7dpo1yaPy6V5o95bFWrgQiSCTateUsxOfgnAMDRpRyTlKxOerp8q0mRdkIECbVYz5THC6e9vYG1UrI2VZurjDVd1v4GtaRkMcYYQgDUkpJTivW/UJPmR8unTN3SLN1SdcWQLQPrLZvCO+W88lcpAr2WgBChSPvFCZLmPBhbZnry+R/PDu39sqErLzERJihWFN2xNfHuy67yRfqvhZCgsGXqxfTQQ9NnHvmnV5OgAwAAilSYghD9FwD23X7+38Z4gQSiGEc42r75g7avCOtKTT7739npI3ctEBwAAOD0t+7T6uWZWnnuaL2SOUNQjDPes/3T/vjKW5VabmT6zKNfsFtfzl1IaiiSxs+3RwiRVNvKG99BUrwnOX7gP5OjT31H12pZgmSc0Y4tH2ZFf1clN/6kXEkPugLtl/LO8IAqFyZmzjz2xVppbkkpOvVqZqhamH7OF1t2c6xz68fKuYkn7Vaa2cMkxXkwxiYiKE5wRdpDLeu2BBKr3gQhIhaSFc8FCBHR1HtFK0HSIrYsY350/7dTE898/1wkH0nzHocnvjbeu2OXN2zH5lqmoeZmj/9mdmjvV7QLpIydD41rNgIhGgeNZK0L/Q0iSNb2cCFokhGDmenDd0ql5HHRk1jnT6y8leE8TazgbbNjnrFlmpq0lLZOwp6z0ADYY0xu7vhvCslTf5Sr2SGKEfyeUM9OT6hnl1ovTtWr2bOzQ3u/3LH6dT+kWWekVpo9PHHivo/qqpw9n1eFplSzJM19nWLEQKhl/TshIlnR07TBFcyN8o5gjyfcezVBMo5ydnQvw7ni4baL3qdKhclSdmSPHZzhbdVVKV9Inr53fnT/tzWlMu/0tW6OtG96v65UU+Mn7v1wJT/x1MupRBrnYx4h4o56NTvU1L/zS05v00UEQXGQhijevf0fnb6WLazga0MkLVA078MA4MGnf7yrmB562J0+e3m4deNtDk/TBtuvaGmefwTFOCBEJCIoHgKIcrPHf2OZmuwN917D2SR0RPDEVyOC4rBlapZpLIrQhxChYPOa60V3Ym05O7pv6vRDn2p4EiFPqGdn64rrv12vZoar+cmnWdHf7gq0bwcAW8nxA/9ZSA7ev5T7xNDrxWJq6GFPqPsqb6TvWob3NGemD/18evL5HyOSFizL0CCEBCt4E77osjWB5jVvJSjGyTvDAwRJO8AiCR4IEZLK88eGnv/FGxFBcp5wz85Qy4Z320EbxanszNFfKrX8mOCOrvCEe69ZmIcocmFiMSbYNjFM7i6lhx4JNq99m6krlfmR/f9eygw/RnOuWEv/rq/4ogM3AgiRXEme1FUp6/DE1zC8p5nhPc0A2MVPTvR3NojXRaX3vRimqckAWyZBsq7UxHM/nB954huGJhcxwBYn+DtiHVs/EmxZ9w6KEYP2XmPLbv0EsHE+XzUIkhGa+658q+CKrrBMXS6lhx6uFqae5cRAd7R984dozhkFEBEN2wmkSPkxAOwodYp1RExDrcyPPPGtUnr40aV41Wj18mxq8tn/Fj3xtSTFe+Pd2/+xMTEVS+nhR3zRZTc7fM0XkxTnUqT8eHbm6K/z8yd/7wq0b0v07Picw9O0QbQTMWeWsrZ4ISxdX1Co/a9gcSbLkpTJP/novxiV0gxABA1JkkEkyUCCZCFJMZAkGUgQDEQECRAiIUJk498URIjA2DKBaRnYsvuFsWnqwO4bxpAkWdoX6DIq5TmzXn9FN+3LgaA4jyfSuwtCRCAEGae//RKISCY59vR/lDIje15c5Wd4d6J91c0/YAV/J0HSomXqcjE99HB64tn/rhVnDi7C8+EYAOBBiua9gaY1b0707Pgctgz1QlJ9y9AkjLGFLcuolWYPlXPjTypSfhwAAER3bLXgiiwzNDk3PXj4DggRFeu85GMkxbrLufEnp04/9I/1WnbEFejYHmxe+7ecGOjC2LLqtexQvZI+rWtSTpWLk7XS7CGICBKRtFix49PP+TKnWEfYlvJCyDvDAxQjhkqZkd1qcnASY8swdaVSLUw9w4mB7nD7xe9vtLbdm548+BOpNHtYUyrJF938BQDAWZJi95Yyw4829+/8crB57dssQ5fK+fH9Umn+qNPfusUXHbip5Iw8mp05fJdWL88WU2ceDDat+VvBFVmBCIp9OUUGIkjOG+27DkJEAAShw9u8ESKCTk08+1+F5Ol7XyxtpxjB37r8um8K7ugqgmSd2DK1cnZ0X2rime9X8lPPGpqUu8DDewIA8ChJsT/zxZbd3Nx31ZcAJEg7ovblASGCvvhyDwAQGrpSTk0884PM5MGfWpaheMK916hycWrixP0fj3df+klW8LU1VF2LIjwJkhYRIihDqxchJKhQ8/p3xLou/QTDOWNyNX3G6WvZ5A50bkck46R5TxNhT1Rto2vLMnS1linnxh4vZYZ3a/XKnGUZKsDYFL1NG2MdWz/qjfRfL7rjaxFBsRTN+0xDrbKCr02upE8XUoP3I0TQ0fZNH6RYZ2Ts6O9vK2VG9yKCZGKd2/4+2LLuHZpcmhkfveeD9Vp2lCAZIdi05q2x7ks/SRAUX0yfebCQPPOAKhcnMTZ1kuI9Dm/zRd5I33WIpLhGgsJ0ZvrQz6rFmYMuf/s2T7hnZyU/8VR64rkfqnJxukHcHVVquRF3qPvKUMuGd0nl5HGwBDUFIkgOkTSPMQD1WubszJlHv1DOjj/B8O6EL7rs5sz04bsIinXEu7Z9AmPLXOxCnyQ5ly86cBOEELGCvz3UvO4d5ezo3lJmZLdlmZplqLVqYfo5inWEw20XvY9mndFydnRPauLZ/64Wpp/T6uXZF02IigCAEYJkniymzjzQMnD113zR5Te7Q91X2n4U40+I3qaNsdjAzeXs+OrM9KE7q0o1VcmN768VZw42VDb8Yls+TEOpYoytRO/l/+SLLrsZAABycyd/l58/+XtTq5c8kb5rvZHeqxne27bQKy6V546mJ5//0TkMnWcAADMkze0OleaPxbsv/STFiMFEz+WfBwBbnOjvAgBCU5ML9VpuhGKcEYJkRMFtx5VjjLFpahIiaJ5zBntJmveCRRA8LwbG2LQMXUYExTn9rVs8oZ6dGFsmQbFOb6TvWrVemp4fefJbNOeMRtu3fLjRHw9MQ60tNWXk5cA5gr2R1ov/DgAASpnh3RBCyPCeJl+kb22kfdMHSJr3qPXybEMuneTEQFdT35Vf9Eb6rrMsU0uO7r89Nf7M99V6aWGycZZmnad5Z6jP1JUKgACGWja8KxBfdSvviq6MtF30vunBR/5JKs0fxdiyEEExqlyadnpbLi5lRnaPH/vjB0RPYl2kfdMHGc6dCCRW3YoQcXIxSRgL0CpqQc5IM2Lc1a4W6unskfknEE0wuePppzHGFgQAlCeKg4hCtLPJ3T2zd+zu0mj+JQvx8rw0UcvU5zDAGCFE+Dpcy2ieFFmn0/tanPu/JhAiGVvGjwhdrWUr+cmnX0juIIJiGM6VcAU6trevvGkLwJZZzAw/hhBJc6K/uy7lx2aH9n7l1ZI7C1j0YsqOnm4QPGIg2rHlo5XC1IGp0498rpIf379QBFtAJTfxNGgUXmjWEYp2bv1YIL7yFl2ppqbPPPqFwvype6xFKEXOB94VWe4KtG9T66WZ/NyJ32Nsmd5K7GeBAAAgAElEQVRw3zWecM/VJMW5pgcf/nQxPfSIZRoqJ/q7eGe4X5Hy46pcnKRZR3Ap20KIog1NykEIIUFxblb0tYdaN74n0k5yFCP6DU0uGHq9BDAAmlKes1vqIcE7g70QIeJci3yCpHmac0YhREhVyvPVwtSzLyR3CILmGMHT4g52XdG+8sYNlqnJpczoHoJgBE70d0qV5IlXS+68EItpGV0AhASFEMkCALCpq1VXoOMyX2z567Fl6YqUG1XlwgTNOSMQQmQnPmpLIx9IxrGQVGPo9ZJSy40QFOsKJFbd6g33XmOammS3Xk0/axpKJdi87u0EQYvYMvXM9OG7dNVWYl9oO4ZWL/GO4LdYwdvmCrRvE1yRFbxzZx+EthLe9rLLj9WKMwdNU63yzvCyUPP6d5A07yskB+/Lz5++txH+UCQpzh1qWf8uhnMnJk7e//eV3PiTi1noWZapQwifmjhx70faV978fYc3sR4RJEPSnEfXpGxm+sjPMTaNaPvmD2LbqzGDLdMINq153mpa+7ecM9hL2YbkSxrrEEHz9thlp2PZnn+c29DrpXo1O6TIxSnBE1sNIYSmpSv4PKr+F4JixIAvuuwm29fyxO/s74mv8UUHbmAFX0d64rkf5edP/bFezZxN9Oz4rMvfts3Q66VaafYIxQh+evHd7YCieWhotvE4RCTLcO6EJ9x7tSfUs5NmHWHLNBSt4W2pK5UkBBAADDAn+jsbreLnDZN5ITA2dcvSFVewY0e0Y+vHLFOX50ae+IZcTQ+KrtiqYIvty/MXShaMrYai5oLzQcs0NKev5UfuUPdVJMW5BXdsdSkz8hhCJEtzzqim1jJKLTciV1OnDa1eEj3xNQyASFelHCIojiAZB0lxbpvwWYKB9Av3wdAkjC0TQQhVuThl6EqZYhxBb7T/xmDTmjezor/T1JVyKX32YZpzJ3hnqM+uYUO44IP4auHwNm3wxZbfDACA2DJUgmJd/sSqN9kq/Yn9jeTWzRbGlq5JudT4gf8EAAB3sHMHhIjIz538Q37u1B+WakSMsWWxgu+pWnn+qNPTtJHh3YnG/5u+6MBNGACsSvnx1Pgz3yumhx7R6uVZ+3mUspZlqBTNiP7Y8tcX02cfAktM0AXAbkv9M29CEBSiGJHgBB8iSA4QBAURQUGESAgRYci1jDQ3ft7OlcVg0SbL4H968jWwiJt5KYAE8QywCY4lGzueD5zga2M4VwJjbMnl5Mn50f3fLqaHHta1WvbFAzLFCP5g89oreUeoHxEkY2j1UnryuR/Ojz51u6aU55fC2OmaXCAp7g5DrxcZzt2k1HLnjfQ1Da1qV0HU2uSpP31SlYqTzkD7tkB85RvtKuDBnxZTZx9EBMG0rbjhOxARdCF15oGZs7u/qMiFqXDrxvdGO7Z8BCKSKSQH78tMH7qjXkmfMU1dBtgyAIQIIYqlOWeM5lwxqTR/DJ9j4g4hgpH2i69hBV+bppTnlFphzLL0Oif6Oz2h7ishImgIIdTVWpYgWRciaT41/swP5kYe/5qu1DLnm0waulJBBHUPI/jamvuu+td6NXMmO334Tt4Z6tOVanpq8JHPltLDj+pqNW2ZhoYIUjN1pUyzzijDuWLgZTwhGM7TxPLeFgAAqNdyI8mx/d8pJAfv05Vq6sWLE4rm3b7Y8ssFV3QlSXFu01Br2ekjd80OP/41VS5OLa2yoFQJkrnbNDSJd4b6pXLy1Hn/AAJEUbwPAAAUKT9Rzo7uE9zRVRQt+uVq6nR25ugvOdHXsfDrpqFUwSL3p+HBQ5umJjs88XWh1o3vBsCyyvmJ/XI5dapWmjmkysVJ0dO0nncGewjOllWrcmGykpt4MjNz5K5aceaQaajVFz4XBMkc1ZVquqnvii8wvLcVAIDlSnowObr/2+Xc2OMIkaw71HWFO9R9lVxOHk+NH/ieZRkqxYgBT6j7qnDrxvcSFOs2tXoJAAwghDDQtPqmRM+Oz+lqLT0z+ujnC6nB++3EIXPBKBIW00OPZGeP/jrUsuGd/tjy19GcKxLvueyzAGNLrqRPJ8cP/KdcTp6EiKAd3uYNDm/CxNg8UUwPPSR6mta7Q91Xip7EerAIj5YFIILiCIJ2YNvvYLeh1YveSN91AGMzM33oZ2q9PBdt3/QBAADA2DIsQ73gOxBCCP3xlVfyzlCfplRTSi03YpqaTHOuuNPfthURFAshJHRVyhEEzRMU48zOHP3lzNCeL6lScep8E3LTUCWI0CMM72luXXbdvxt1uZCZPnQHzTqjpq6UZ87s/mIhdeaBhspJQYikdE3Oc45QD2tfy9OLOS8UIwbj3ds/BTDGldz4E7nZ479V66UZd7Dr8kBi1ZsY3tPckLFmKEYMQAhROTfx5IKh+LlgaPUSSbE/XFAsie7oStPQ5Fpx5vli6uyDpczIHogQ6Qn37PTHV9wCASJUpTxXK84cZAVvq9PfupVmnGGKEUMAgPM/d+cAxpZpmppEsWLQF112c72aPVstTB4oZYYfU6TCOEEyDl9s+evCrRtvY3h3E4QI2deTWJpn3cuAIGm+uX/Xu3hXeMDQ5ILgji53h7ou5x2hfkTSvGVoUik7ulcuJ09KleQJinGEEz07PuuNDtxgGao0N/rkt1Ljz3xPV//SyL+xEPzzYpDhXHMQIjLYvPatvtjym6vF6Wdzs8d/y/DuYLhlww28M9RfzAw/ioFlEhTnts2opSzDe5rdoe4rMzNHfgEAWLQSwjJMg2TJvdi0jMhFTTvFhKuzNlsZ40NiQpqvTrA+Lsz5+ahWVYvjfzr749Jw7hg2X/qOS6wLbnfFxTa9bki0QDlYJ+21TGBlzhSeezXn/X8DkCAZmnWGAQBAU6pJVS5OLvwMIZL2x1e8IdZ16ScAwDg/d+LuzPThOy3LVP3xlW/AAFvZ6SO/kMvJk//7e24nvy0chlxND06deujTteLMwXONiwgRFEkLPk70dzT1XfnmQGLV30CIiOzMkbuKqTN/erXkDoQQRto3XUyzzqhaL814I/3XOTyJ9TTnipUyw4/OjTzxDaWWH8XYNOzUR2cYAAAFV2xV70Vvv/eVbJLm7LY6CCHkHaF+3hHqB9gyNaWaNHWlqtUr84YuF+Ry8qQqFyd5Z7ifpHgPSfEeYHtt/OU5IijeroQDoEqFSU2tviAtjWJDLevfvuBBmJ0+fGdu9vhvEEFx4daN77EsU8tMHvypIr+ytqxXC7tIiyiMLVO3zar3VAvTz6lycRJARHpC3VcFxUA3AI3x0FwiwUPQAkSoEUXMOP2JlbcGEqvfxAq+jmp+8kC1OPM8w3uanf7WzY1gjOWIZASpNHe0kpt4YilztXotNzxzds+XGM4VZ8VAF0IErWtyfm748a8XU2cesNuKuq7wRvquwxibUjl5wm4XrqYJknEEm9a8RVMrKdPQao128XIlP7F/KWuChpHryfzcid87vIn1GGNcyozsSU8+9yOSFv3eSN+1hq5U5kae+Lqu2nYVlqkrAGNMEIwouKKrwBIVlQiRDLCVYIpSy4+V8+NP1oqzh3S1liFp3hdq2fAuhvM029syFt1ix3CuhOht2gAggIIrPOAKtG91eJo2yJXU6eT4M9+r5ieetky9DgCEFOuIQIhIkuJc7Stv+h62zCUvjBdsCxp+pBEP2xMBAGBDl4uKVBi3TFWqV3PDpq6Ui6kzD/KuyAqKFgI04wgBABbZ4mqrVbBlGaXM8KO14uwhgqB5p791S6Tt4g/wznC/KhencrPHfsM5gj1OX8smACDhDvXsrNeyI4igvreYtjO5kj5TTJ19MNSy7h2ecM/O3MzRXypSYWL44K/ejAiSYzh3whXouMwT7t0FsGUWkqfvqeQmnvJG+68PJFa9CSKSsdPrzm9b8XIw7RYtCwAAeGeoL9Sy/l3ecN81DO9KqHJpem5o378pcmHCH1v+eowtQ9fkPEULAQgAJIhXT/AQJCO0r7zxrTTriOhqLVstTD1dzU8e0NRahuXdTe5Qz1U06wjXSvNHytmRPYXUmQchJMhE9/ZPc2KwW5VLM9mZw3ca+oUDNs4FTSnPlTMje0R3fC2CNsEMISIMQ6kUkoP3pSae/S+ALdPpa93sCnbu4ARfO0EyIklyLgAAEL2JDazgawcADC52m4ikGDYYW+UZWL+M8Yf7Gbe/g2B5r2XodVJwhCEiKICxZar1EsGwLlNVynqlNA1e4TV+IV6TCeurBTYXXyVcCjhHoAciksGWoc4OP/5v2Zkjv3rhz+1JCu9x+lu3NPVecYngjq+FCFGmqcmZ6UM/mxna82VDq7+itA47GQDcuZjfNXW7Sk6QtOiLLr+ZZh0h3hHqz8wcuSs7c+SXdhUfY4oRfPn5U/dkZ47+spyb2G9oUj7UvP4d8Z7LPmPqanX69EOfzs0dv9vU1ZfIwYFNzFXAeV54rOBt9ydW3arKxemp0w9/plaaOQQAwL7ospsT3Zd9RirPH5fK88c8oZ6dDM+3FlNnHpgbefzrWn1xFSbL1FXRk3gs2r75w7wzsjzasfVjheTpe+ZH938b2NJhgyBowelrWRPvuvRywR1bCQCADcb6nAQPJ/q7CJIWMcY4OfbUd1Ljz/7ghYM/QgRJkKzT4WvZlOjZcangjq1CJCVgy9Tzcyd+NzX4yOdeGE26FDR6ou9ufM4LCCAkac4NAAAM72mKdV36ycL86XsLydP3GLpSphkx5PS1bSEozm0rRHRpsRMIOx7U9jeqS7Y8XpNLM7pay/Ku6HKGc8UBQEip5cbKmdG9gaY1bzX0enF2aO+XM9NH7ny5gckmEYhfQkTSLQO7vkrSvBdgy7AsQ/XFlr3OGxm4nncEe0qZ4ccQQfH++MpbVbkwUS1MP+cJd1+FSIqXK8kTcyNPfktTKnO8K7Is1nHJxzS1mpo8ef/Hy7nxl5hrNo5ZAgAcJkjmrFxJnYp3b/90w3wUMrzaHIivvNUI9eziHcEekhH8pqHWxo7+/rbM9OE7RU/ThkB8xS1Of9sWsESCB5F2xcsT7r2aoFh3duboL2qF6ecgIlleDHSLnvg6AGwj5MV4/NCcKxpsXvMWU1crk6cf/MdqfvJAw5T8yqbeyz+vSPmxamH6WZe/dSvj9qyp5CaenDm750sL6r0LAVuWyTkCezSlMscK/o5ox9aPFJKD9yfHnv4PjC0TY1NHBMU6PImBSMfmS13+tq0kzblZR6AbLJLgISnOlcsfeyY9dfAnmlKZ94R6dkY7L/k47wz1a/XybHrq+Z9QFO91+lu3NK4erlfSgxcy3DR0pSq6Yz/3hHuu4sRAT7Uw/ezYsd/fpkiFcZe/7ZJ496WfcnhbNim17HBdzo9hbBkOb2I9JwZ7ECLtfnRHsBtCtG/JiU/YMixTl+2e78L48OFfvdVQ5RwiSM4d7Loi3HbRe53elk0AQsKyTBUhyEIIGxJl+Kp9YFyB9m3+2PLXAQARRCTj9LVulUpzRyv5if0ExboIghYwxibGlmkrEyLLPJG+awHGOD118Kfzo/u//WJz1nNBrZfnRU/su2LD/yrasfWjBME4vNH+6wDGIDd7/Ncs72kONq15i+hJrAMYW9Xi9MFGBHK3O9i5AyHyzGIk6AswFKMOAHjE2eKZCm9MXOX3ciHawXrEmLNDl/Vqdbo0lD44+1g9J6cWFF8vhiPEx4M9ntV63ZAwxpacU5L58fLpqQOpR5dwmv+vACGCpmghgDHGulrNmIYmeULdVxh6vUhzzkyoZcM7DV0uzA3v+5ppaDWS4jzB5nVvcwc6LlPl0lQxPfTQy5gC/1Vhe/DYCh6MTV0qJ08gRFCiJ77G4WsmCIJiEUGLBEkLDdLXjUhG9IS6r+Kdof7GszSRnTn266V6N50LBMmIgiu6nCAojhP87ZH2TR+oFqafmx3a+9Vybvxxu42ie6foaVpPkIzDrsZii6Q4F3LS/S9NA8KWZRqqocsFU1ergiuy3MKWsZCotVCVt8cfbC0ku2Jb5KoCACyHt2mjaajVejU7pNbLs5ZlaIikBYoRguDcBA9H0rwXY4zVemkaAgC9kd5dqlyaYQWvEWpZ/05VKkzMDu39CkQERbGOUKR904cc3qaN9WpmqJQZ2b2UxMPXEo20H8Iy9Xp29uiv0pMHfwohQpwj0BVu3fhef3zFLRTjCAMAAMDYtJao4EEkLcDGAssfW/kGgmJcEBGUoSklmnPFXAS1FWNTF1yxVQzvaYbQTnMsZYYeUevFJXlgYGxZEKLH58eeur25f9dXCZJxAGyHFMS6tv2D09e6tVHNh3IlfRpjU2dFf2esa9snGN7dZBpqNTn61HdYMdBF0byvlBnZrStLTxSybQ6SJxtzHMzy3pamvqv+heG9LdXC5DNzI/u+Vq/lRwCEiKQ5MdF92UZEkCyEiBDd8TUAgJ8sZXsQERQEEGqalJ8b3f9tuZI6jQiKdfpaLo60b/qAO9h5+UKSnWUZ6mJIWQgRCiRW99K0EMAA4FDrxvcotdxIZurgHbZ3nVG3vf7ia+lGWAeAEEJI0JwY6Hxp0co2cDIMtaIrlXnb24biMLYTtRZUXo3nEgMA8J+fTcsysGmorBjoYnhvSzk7uk8r1J42daVCM2KI5pyxxZ4r+9stA2PLgohQKMFOW/JG+q8nac5tWYZmmbosuGIrBVdkxcL7gmKEACJofrHpY4ZeL3sjffd5I33Xiu74Gm904Mb05PM/QiQtBuIrb/XFlt3IOYK9lqFJUmnuKMWIwXDrxvfaXqQQQYSopRzXi2EZdosWAAAEm9a8pVaaO5qfO/E7uZI6JVczZ0V3fE2wed3b5Urq5Nzw41+LdV/6CV904CbQiBp+pdtdgMObWO8MtG8DEJH5uZO/K+fGHnf6Wjf7E6tupWjeV86OPZ4cP/A9qTR3tFHA3RiIr7zF6WvdCiBE9Wp6sFqcOfiKW6RMQ/OGe542NClHs87Igl9keuLZH5ayo3u8kb7rHJ74WtPQarwj0E2zrphczZypS7lRl79tK806Qm7bmuOCBA+EEJKiK+pbvfVvWH9kmVrInAUYYEvXZK2UGzNVpcQGoisQzTgsVSmbilyAFC1i01DshMBXj/8nCJ6/Fhje04wQQeuqlKmVZg4v/D9CJCW4oyvjPTuucXjia+u13HB29tivdU0uOjzxtdX81DPzo/tvf6XkzlJhGmoVYGxBSFChlnVvl6uZM5OnH/xUOTu694WTJV2V8hCin2BsWQRJc/74yltj3ds+CTC2ps88+vnc7LFfv1hKvVggRFDhtot38Y5Qf37uxN31Wuasy99+iSfcsxNCRE6eeuAT5ezYPkRQnOiOr+FEf5dWL8+ygq/d6WtpXex2ONGXMA2tSrOOkMPbtI5iHMFg8/p3khTjMHSlrMrFKUOrFxe8hzjR38VwtpTuXGB4d2LB9LBWmH5+YbEHEUHyjlBvrGvbtU5fyyZFLk3l507crdbLM6I7vkaWsiOzI09845WSO68AEJGNqGcAYa04exBCRCR6dnyOYh1hCBHBcO5mkmJdlmksWi4LwJ9NlinL1GWpNH/MNjVu3hhq2fAuRFJ8bvbE3bXi9HMIkSxBsX8LAMByef54fv7UPReqOmDLNEma+z0n+jqiHVs+zLvCy1pXXH87QgQNMMCKXJjUNbkgle3tcmKgK9i87m0Qkczs0L6v5maP/Uap5ccQQbHh1o3vpVhHePLk/X9fzk3sv9Dk1TRUiSCon5iGWmsZuPrfKEYMMbynydTVSmb68M9zs8d+7Y30XWunskk509CkSn7iqUBi1d+I7thqRFDMYhNHICJphCgOQESYulKWSvNHnb6WTaHmtW8jKNYFASIET3x1Y79q+ALx9RAhwh9bsdXhbdlUzo7uqRVnD4vepg3ecO8ugmQcc8OPf62YOvswAACzgq9dcONVmlJJMpwr6vS1hBezzwAAwDtCAdNQa4ggGcEVXUVSnMcfX/FGgmQdlqlKqlycNDSlVK9lhnRNyjKCp5kT/O2L/X4AAJDKyeOKVBiPdW37B0+w60rTVKvJsae/a2hy3hPu2Sm4oivtfn+IMAbYakQRX+h75Wp6MDN9+M5E92WfRQRBY2yZBEGL3nDvtawY6FLl4qRaL03rai1NUpyHIBmHaWqSrUgkKHthCRG4wLV4MTDG5kJLAbYMFUGCcvpbtwSb177d6W252LIMtZA68wAAGLsCHdsRI7IA2MqbhXatVwqac0Y6Vt78XooVQ4ZeLxbmT/0RY2yxYqCTIGmB4d2JhYVTOTu6zzKNujfSdw1BUEIpM7o7OXbgu4shdxYgl1On8nMnf8d2+dsEZ2R5c//OLyOSFrR6aSbRe8UXCIpx6ko1mZ878fusXU0cb1910w980YEbfZGB63Ozx38DXoEcvDpVGpJT1SmSpxyIImiAAbB0U9VqWsnSTZ0WaWdwTXRNaF0MlYbzx9Sy8udElbHH5+4tz0kTpm6q9YKatUxL1+umpNeNv5oZ4WsFCAmqEf+Mac4db1tx/e1yJT2YmnjmB6InsV6V8xOZ6SN3YmyZ4ZYN72YEbwvFiGGESEYqzx9XX6GR7qvH/6RoQUiQvujADe5g5w7L0GVDk/O6JuUUKT8uV1In67XcKEEygi/SfwMreNsW/CFUuTStSLmR12JvSFrw887QgL04hCQCFC+4oytZ3t2cAJd9BgAIDEOpYMvUdKWays+e+B1Bsy5DlQuF5Kl7NKUyjxsJl7avoSNs6vWSoStld7BzR6R98wdnzj72RV2Tck29V3yBFbxtulrLaEotbWhSDgAAWMHfKXriazjR30GzzkglN/5EvZYbdQc7dzi8TRsJkhGJ/1HpvGTCDxFJEyTrAgBbnCPY27r8+turhZnnbM+gjktrxdkj2enDP4eIoCPtm95PMUKQ4dwJiAiqWph+Vn+NY4mXAgiAHbkO7PuBpFhnoGn1DeHWje+BEFGV3MRTrOhrF5yR5bYiUl+S6audaGv7mJA056mV5o4W5k/9sZwd22dZpi66Y6vdoe4rtXp5liAZJ8UIPkOvF6vF2YOvZI6LsYVJmv81zTqjkbZN7ydp3htu3fBuiAgKW6amysUpqZw6VcqMPKYp5Tl3sOtygmSc9WpuODt9+E7DUCrhtoveByAiqoWpZxrebEvcB4wd3kTW1JUyQbEu3hVZTnOueD556h6llh/zRZfdiAhaLOfGHo92bPmww9O0ATbCWjhHoAshglxKy6w9VkGIIEFCiAiGd8fj3dvf5Yv032Do9WIpPfyo4ImvYTh3Apu6ghdB5EOISIc3sQ7Y7DxEiGQZ3tMcbFn/jkDz2rdCAJFpapJl6nVTV8q1wvRztdLcYYQItpg6+6BUnj+6oCCBwLbRgAhRmlKdZzhnrLl/11eL6aGHi6nB+0MtG9/jiy27WVeqaV2TsrpSTVuWoVCMGHT6WjfTrCNE0rxXLiePVytzRylGDLQuu/ZbnOjvBHb67xKIEHulT9KcO9S89nXRji0fYcVAJ7ZMo17LjZi6UmEFXzsiKF5TynOIYESKEQKGLhdzc8d/a1nGohWL1cLUAak8f9wd7Lo80r7p/Zzo7xTcsVWIoDhDkwvZqUN3KFJ+XFOqSZLmPP7EqlsX0nUhRCRFCb7FH9dfYsFkGQAAasXZI2PH/vA+Q6+XCILm/fGVt7CCty05tv/2WnH2kGloctfaWxvrTwjtd9krB0HSfKL38qvsgjMA3kjftb7owA0kIwRUKT9uz7kg9EUHboy2b/4QSfNeyg59cS0kS2pqLbOU+c+5UCvPH9eVatqeZ2FLU6opzhHoElzRFfVadig7feQuZ6DjUss01PnRJ/89M334Dk+oe6fL37YVEbTg9LVupmjhrheGGZ0LtDfY7V976d+bcjVTPPXcj2lPoEsr5yfqEBzigrGVJC+G9GpxGtGsE5uGxniCXaYiF5RSfowSHYteA5wP/18TPHbVnyDlSnqw4RpPAYgQ74oMdKx+/Y8Axtb82FPfyc+f/APDe5o94Z5dpqnX05PP/1itl142+vK1hmkolQVmW1NrmckT9328kp98+lwsJSJI1uFp6o93X3ZDqGXd2ynGEUqNH/h+wWbPXxG5AwAABMW5XYGO7QRB86Insb5r7a13kjTvzc4c/WVm8vmfKHJxmmIEH+cI9JA074OIIMNtF90Wbrvotle8TZJxCK7wAMaWqcrFaa1emlGkwjjFCIF6LTNUTA89womBbop1hF9ucKNYZwQiklEq6UFdk3IIESSAiOAEX0v7qpv/i6Q5T2rs6f/Mzh77FUkLvnjPZZ8FEIDM1KGfKdXc8Cvd96UDAqJRLQEQQNEdW6PKpWmpkjxRnz3+WwghEe+57DMAQGiZev18KWd/8a2IIJv7rxIaC13s8rdvc4e6rnAF2rdJ5eTJcnZsHyf62l2Btm2s4Gt1eJsuwtjUc3Mn/6Cr0qLILUOrlxjO/V3eGerzhHuvpmjea2j10vzo/n8vJE/dS9JiwBftv8EVaN+m1Svz1cLUs4Xk6XsBxtgd7NyB/W1bFbk45YsM3GjocrGUHdt3rhbBc8E0dQUi9AtfdNnN3kjfNaauVudGnvh6NT95wBvtv4FindHZob1fVeXCBLCrfBqEEDKcK8GJ/g6wSKUKQohCBEEDADAkKN4V7Nher6TPFFJnH1Sk/Jjojq0R3NEVADQI2QsQGARB865Ax3aCZETeEerrXHvLzxjOHc/Nnbh7dnjfvym1/ChBsS7eEeylGwRfILHyjYHEyjcuZn/PuU2S5nlnqA9jy9SUSrJeK59VpNIUSdEOTakk8/On7hFc0ZU064gggqQX977AGAPLNA2lkps9/tti6uxDEELCb7cwvRdbhlpMnXmAd0WWi+7oSgAADCRW3aoplXkAwDPn+2bLNDRO9P82EF/1JsEVW+XwNm/MzR77zfzo/n8vpAbvMw1N4h2hXl9s2c0U6wjn50/dI1dSp6IdWz4suKIreEewF7wgsnSxeKFJNnjY6BcAACAASURBVO8M9bWtvPG7JM37tHp5dm70iW/K5dQpd6j7CtETX5efP/kHf3zlG+z4c4JCBC2AV5hg0SD9LnEFOi4FACJDk/OIpEWllhsxNCnHiv5OihFD1cL0c+Xs6N5CcvB+h7f5YqevdauuSdnk+IHvqXJhcinbbCyW7gk2rX0bK3hb/kdF6G01NDmXnT7888z0kbssU1cEd3SFy99+CcN5EgAALLhja0R3bDV4BQRPY+yqNz4vgbPNOxBYFd3mXxHePPKbk98GANy/8DOKJ0VnlG+Zfi69u5apz4UHfBvccaF17PG5+8AiTTP/bwEiRBIU64AQQIoWAvnyibvnR/ffji1TN3WlVC3OHgy1bniPw5NYJ5WTxzNTB38quONrgk2r31yvZs6eK0L9fwW2B08NADsyWJEKE6X00MNavTJvGmrNNDUJQkSygrfF4W2+CBEkq6u1bDF19kFPuPcagqT5Rgz6a6LGJmnOwwr+P7csI0RQNCMGQaPlSa6kTtvtDflxwjagxcXkmQde7JNIs44Q7wz3R9ouel+1OP18ZurQzzhHoJvmnFGIEFXNTzw9c+axL0KISLVemqEYwc85Qn2iJ7HWfi/b7xeCpAVPuGeXB9itM40EKIQImqcY0X+uY0CIoG11LUQ06whnZ47+Ij3x7A8hIihdrablSvJEtPOSjwuuyIpqYepAeuK5/3aHuq/yhvuukSupU+cy5v7fAwQQQAgRwXL/h7v3jpPrqu+Gzzm3t7nT6872vmorq1ldtuUONmCqaYaQEAg1tJAEAoQSHlIgDySkkPcNhDwQwIBtjHG3bFmWLVldWm3fnS2z09vt95z3jzsDhth4V9YDefl+PvpjPtrdM3fKub/z+32LHO5L9u39QLJn9/uK2Qs/yZx/4NOmXs4EYoPXd2285cuIogV37RItsSV5LS6du2vmzD0fNbXynC/ctSfRue3tohIdWpo6/LVqfvpQz+ir/sEf7bvG8/q59MOdY2klmuG/iLFrpfr2fYhmOMXUq4tLk49/uZqfOuTYRjUYH7qprW//RwCEcHHi8b/zmoW1bPfGW77McHLEsfVywws0WbPUCAAAXMdq2GY929yHIc3waqRt0+uqhdnD5ZWL91cLM08EEyO3+CN9V7caYAB4UulmMt+aE3xo1ktmC8QHrlfD3XsXJw793fLUk/8IEWLi3Tvflerb90EXOwYmLy7RghBRgi+27jmPEc0Ifprx7iu22cgXZk5/v17OHAMAQIaVwuXcxIN6LfdLjV+K4WRBjvSHkiO3MJwSy1x8+K8YTomzgppiOTmq13JjS5OPf6WSm3hIr+XGIKJYQQ73S/7UJtGXWN9KKW6yDLfIgbYtGLsW9J4iQzB2WkmGqwIBmABA4l1X/kFb/4GPYuLa5eyFn1bz04css5blpVC3IEf666XMsUZ54dlU//4P+WMD10NI0ZRXE6wattkopgevOeQLd+3hpVBvMDHMLow/9jfllfEHjXr+IiHYFZRIf7ht42tDyQ23sbySqBZmnyTYMSU1uZHmxOfdb1YD7Fpa66xJiPcapYcOfhJCiq6XMscyFx78S8uorXCivy3SvvnWVN++9U3WMvQk+E1P3UsAzUphf7T/2p+zn3glplUWT5VXxh8wdW+wT7DraASfBhBRkppYH4gN3NAcmDS5W6vzJf11sPTq0uCON0+IanIDBBDRDK/q9fx4YfHMnQhRbLJ33x8jiuZnz9778VL2wr0UzUmMJ/fz5Lu+2EiT8feC92rEcGJsz01/SAtSxMhmjgvx9m2OVluR0j17sWPrfCS50Srnp8R4+xZtafYoLfkSrD/UY+SsBhsI9xJndcnML4bf2QYPhBAO7nhLEEBIua5Zj3VuezsAEOYzJ78TiA1c35yq/QPN8P724es+IyqxYUlNbqiX5p+ul+aP/iapsc0DIwYAEMes53gp3MvyaiqS3owQRfMAQgpBiqFZIdA2eI0kqclNaqTnAEUxgqlXFopL5+56qcUAzQp+SU1uggjRoi82bGql2fLKxIOuY9ai7Vve3L/19QNDO97aASCkEaJYS68sOrZZaVQWTngeQgB4YTMQAoJd26yvAIioaMcVb64V544iRLOqR/nnsGvrrmPWCXYtz7tLjtCsFJT8qc00K4Wr+anHAAFAkCP9EEKK5eR4c5LxS8UjhBD2bHplAELEuLZRCbdteh1CNJtfOPlfarhnn2M18vPnf/YXAACQHrzmz3g53OcLdu7U67nxSm7ykbV03V8yIIAQURwAADTKiyenTtz5R5ZRWyIAu75gx5WJ3r3vkwPtWz3TQsdYrR4aQURTFCsCAIDkT13RoUSHIUK0bdSzjq2XONGfZnlfwhfq3NXyA9Dr+YlKbuKBtTx9Uy8vKMH2z3JioEPyJTYACCEn+tvTw9d9WlZToyzvS2DsmK5j1VnB36aEOndKamIDABAWFk9/Xwl17mJ4JV7JTD7cmpCuFgRjt3PdjedAfOhGiCg20r75TfGuHe80tdLs8tThr2nV7FlEczIvBbv90d6rAQCAZqWQoESHwCobPAAiGkJEY9fWc/PHv7kyc/TfHEsr0KwYCrdtfI1nfCuFAQAAO1b9xQLsEc3KTcd9xDeTD8or4w84ZiMfTm14NS+Feng53AshoimG85l6ZQE7VqNRWTzp2EYZeKoJ4N1cf268aEU6trxFry6fxRjbgdjA9YhiRIxtHTtWHWPXAoAAhpMjNCOokprcxHBytJqfPuQ6Zk0N9+yDCNEMJ0cQxYjAk23++te+qUsnGNuWXs5E0ptvj3Vu+z1eDvdCAGGjsnhCUCIDTV8f7waoJjau1ozYaBSnS9kLP0n17v1grGPLW2uFmcPYtXWGkyOpvi0flgNtV2DXMevlheM0I/gj6c1vbEo2AcPJ0aYR6Joa216Dx5s4U4zg1+u58fz8iU9bRm2Jl4Ld4bYNrza1Smb61I/fDwAAgdjAdV6DB9EUzckAgNyvXeAFwLBSONK++Y2IZoTi4pk7c5kT/8nyvqTsb9vCcFJYr+fGc3PHvun5Cth6ID50Y6pv74doVgyUls/fU81PPXop1GS9nhuvlzPHeMnzKiMEu43K0umlySe+Yhu1rMeCi43I/rYtFM3Jll7JOLZephnBH4gP3wwhunvNMrgmEI0oQgBpee1QHM2zMuuPbE620zwtNharU4hG7HN/J9jlG0ptjuyZO5K9n2DiAkCIEhfbIfXS2FO/CUAIKYpiJdexGgvjj3xxefrI1ymaU5RIz/5w28bXMqwUrpcyz4xPPfmPej13Qfa3bWmLDdwAAAC28cK+Vb8RNJszhBC3kpt4aO7cz/6C5ZVEsm/fB4OJ4ZcjiubqpcyxfObkdxrVpVPYsbVk7+73tQp2x2zkLpcJOcNKES+JjGDsWhrGrkVcx8DYNgghLqI5OdG9648gohiKZpV6eeF4JTf5KGimyzCsGPDHB6/v2njLLRAi2rYaecc2yv5o3zWsoLbl55/9dqO0cJxmpCDDSRF/dOBa0RcbaTJhdQgRBSCkCMZO66BNCCEYO8bKzNFviGpivefD4TmQPt81NBOMBNvSinPn7vtEPnPquy1LgFBy/asomvfVCtNPLFz0fC/UcO8BNdyzjxDXts36Je0xlwsYO6br2hrDiqFox5a3Qm+fxRBAlOjd/T6aEQK8FOphWDHkOGYNr9K0v4VmcicDAABNpno92bvnA/HuK/+Al4I91cLM47wU7hGU6AAvBVfNEH8xOLZR4wT1X5Vg+45gfPAGgl3bsbRSMLn+lWq4e69ey43lMif+T604d0SrLJ50XdvwR/uuFn3xdQAAYBm1ZVMrr7nJ0gJ2bc026znBk0mDSm7y4aWpJ75aLy0cgwjR/tjAdWq4e18+c+I7jerymbb+/R+hWTFAM4LfY8utvsHTjD13EMUI7cPXforh5KilVxZYwZ/uWHfjXzGcFBaV+AhCjEDc1dWcFMMpLTYJdm0du47pybscnbiOBSmaC6c2vibctun1FO3tg3o9Pw4AGAcAAETRrBJs3961/uVvYjgp4tpGVatlz4u+6JAa6dlfK8w+WVg880OIKJbhlLgSbN+e6N75LooRAsSri22a4RRMXJsCv2iAEew65eyF+xzbKIeS61/Z9B9atZyaAIJdx6iVVy7e3yhnjkOK4SU1sdEX6tqNsWNVCzOP5+af/U+GU2LRji1vVoLtO4DXz2954pxY7VoAAFBZGX8g0bPz3YhjeK2aPZedeepfIKJZSU1sDKU23BZMDN2EaE7Jzz/77WZKbJYTg109m17xNZoR1NUP6H4ZGGO7tUfL/rbNHSM3fs51jOrS1OGvadXls5I/tbl70603Dl351l28GOxsNs89kR3DqwwnhcAawkueC0EO93kyPUIso7LQZLH/xDYbede16ghRLMPJMUlNbmrWJEO21chRDK9SNKdgbOuN8sKaXucXglZZPhNKjNyKAcDllYv35+dP/J9AfOgmX7hrTzU/9Vh55eLPEMWK6aGDn1DDPftY3pd0bKNK0ZzCS8Gupmz01AvVY6w/2M2qwS59ee4o4nifmOjYQYtyFNIMT1zHxJbZQAwnGfmlM9i2GmZu8aSZXzpNXMeAFM3Z9cqaw0OeD7+zDR5EMaIXDwiAP9p/0LX1Smbs4S+ApjlXJTf+YDi14TWSPzVqap4MALu2oVWWTv0m2TsANKOpPfMxKPnbrujc8LK/dsxGzmgUJvV67qJWzZ419fKsZVSX5EB6iyAFe2CTFm0b1aVWjNxLAScE2llejnmPIOLEQGe0Y8tbAfDaNdXCzKFSduw+rbp8xtTL8xTNKZZeXTD10lxTE4sompOUYMeVNCuGytmx+5K9e97nWkZlceLQ32LH0jopRnRso1IrzhzWa/mLiKJ5Ndy9N9Kx5S00w/kQojjsOma4bdPr4t0730XRrAQARAzvizc79r80JYKI5hDNyRAAoIS7dtuWVsyMPfg578bmOsXFsz/yx/qvVYIdV9pGbckxG3nsWrpRz48b9ctDJV8LfhFFbjcMrTjFCf50tGPrHcHkyK0Eu5Zr61XISiHs2gZZpUklRBTT0lEjiuHrxbkjucyJ71RyEw9SNOcLJkZezgn+dKO6fFb2t/E0w/sa5YXjl1JA1suZY3Pn7v9U14abv8SJwa5ox5a3AAARdm2tXs4cqxamD9WKc0+xnBKXA21bHNuorMwd+3fbqC62D1/3GQghrHq+O2ue8hpaaZoAQhDFCGqk90CjvHjCNKqLgfjgjb5Q126jkZ9I9Ox+b5NxACiGV3kp2AMhhKs5FEMAIYAIAUBIixKshrv3xbt3vkuQI32uYzUIdm1I0ZznvfTr/ybHq8nnUIQhy/uSkfTo7cA7X9u10txTldzkI1pl6ZShFacpmpVt7zs/BQjAAAJIUaws+VObeCnYXVq+cG8kPfoG4trG8tSRr+uN/ARFMSIh2K0WZp7QayvnIUSUHEhvi3Vt+z2GlUJN/zErlBy5Ndax9W0UzcnNhmqs2RR8UQkqIdgBhLhKsH1Hqn//R/zR/oMQIlqvrVwwtOK0pMRGWEFNmXp5jhDXplkpXCvOHdGqK6syNyQEYyXYcWesc+vblWDnzo6R6/8SUZzMS4FOUyvP5xdOf9/UijO22ciJSnTIH+0/2IyMBRDRHM2KAbBWVgchbmvibGrl+dKSx0DyR/sOsoKayi+c+l69OP8URIhRI70HEGJ4bz3E0KwQAABckozGF+7e6wt27ASEAESzUlv/gY9yUrC7mp96tBU3L/lTo8HkulslNblJUKKDCNE8wa6l11bGHFu/JPYKxo5ZzU89GvaSK4BjG5V6af6oIIf7BCUyYOqVDHYdwzbrKwvjj36pkp98pHf0VV9Xgp07lWB6Oyf62wEAM6tZCyII+ZCYULsCw2Jc6ex//YYgcbDdeUN/DiJID791c2/z5xAfFOORzYn9i4dm73ru36AYxNq620huCu/Mni8dV2Jievls8Wlbcy5ruMP/FUBEIcp7z0ytNOsLde1O9ux+H6JZqbh09sf5zKnvWHo5Qwh25WD7tvbh6z7FiYEO19ZLjv2bkYS/GJqH3iInBjo619/0xUB86EYIEWObtWVCsKtGeg6okZ4DnBjsVILpbRB5cdeWWVshl6HB04xhTnhJZI3C8tThr+r13EVTry5aRmWBYGwne3e/L9qx9Q7X1kuWUV00GsUpf7T/YLxrO2pUl09zUsihGd6/PHXkH22jtiwH09tlNbUJY9tYvPjol0yjuiD7U1c0GzW75UB6CyDYreSmHtEbuXFOCLTLFC0QVgq5tqVZRm2J4aRwvZQ5Xi1MHzIaxUlJTW50XatuG78wT/6l60CIRhTDu45ZN7XSbCA+dFO8e8c7CSFucfHMDwsLp75vmfUsINj1xwauSw8d/CTDKwnbrGVbfki/LbiOWXNtvcwwQtDUyrN6PXeRolnZMmpLteLsEaOeu5jo3fN+Jdi+Ddh6ebUR2y0gmpVajTOMHTPWsfWOtsGr/5SiWck261lACOYEtY3hlQTLKYnLeW2OrZca5cUTwfjQjZwYaO/e9IqvQgChoZVmIaJYOZDeahnVxUZl8SQr+BIDW2//My9NCADbqGWtl3A+wK6t25b2czlqKTt2X3ll4iElmN6a6j/wMU70p5cmnvhKbv74tymaV2IdW99Ks2KAYni1NdhYLWyjnsXYsRCiuEZ54RjGrg0IxrZRXaoVZ58kBLud62/+EkSIxtgxCcYvWnMynBxr1Zv5zMnvVvJTj1lGbcnSKwu2WV8JJoZuah++/i8hRLRt1nOGVpzm5XBvvPvKXkuvLLC8epaXwn2l5XN367XcGC+He5Vg5y5fqHtvaXns3lpx9oioxtdF0pte5wt175MD6S0MJ0Xqxfmna+XMMxTNyRJIbKJZKYwhok2tNEszvGoZ9Wx5ZeJBUy/PyYH0Fl4K9pjaGryaCCHYseqN8sKzoi++rnvjrX+vBNu3E0JcQyvOCEp00LWNsqEVZxBi+J/LPymabw4S1wS9UZjUqtmzakSJC0p0KNm3748FKdSrRvuuZjklBiCkasWZw46lFZv+S4QV1Daa4VVEsxLl2T0UXmydXwWiKA4ALzQCUTRvasWZUnbsp5Ivvj7ctvG1FMUIDKfERCU2ZFtasZKbfEQOtm/nBDVFUazUlI9fUoNH8qc2IUSxBDvGyuwz/8/y1JP/QAh2GU6O+sJdu32hrj3+aO9ViOaUemn+6eLSubsxdsxE9653UzSnuI7VqBXnjlzK2r8KvbZygQCCIUSUEuzcKY7GR0ytOFNeGb8fUYyYHjr4SdGXWMewUkSrZc8tTR3+qhJIbwulNrwaIpoXffENpezYfeAF0rRoUYkyij+tzU8+ysfTW1g12FU+f/w/apNn7rIbtSXi2AYAxOMk/cJbygP8pUcvCb/DDR5WRIjmXNfWs9NHvr44+fjfY9fW1XDPfiWQ3srwvoRWWTo9f/7+T1l6JZPo2/MBADxPkZcidboUeFMqz1hRr62cnzl994ewaxu8EukXleiwL9S5B1EMb+qVea26fDZz8eEvpAcPfpKXgp2OY1Yd+6XHy/NSsAdARBFCMCGuQzB2CHEtgrHtOkatVpx5EruWpkZ7r7aNenZp6vDXXNuoAEAIzUnhYHz4Zl+wYyfFikG9tnKhXvQ8X5o6ylC5snRy7tx9fw4RxbTSEUQlNiz7U5spxAhNZiXPS6Fux9KKldzEg5I/OcoJgQ6GFUOtxIXnAlE07zEYXDM3d+xbmbGHv+A6RkUJtu+Q/W1X8FKoR6utXMiMPfQ5o1GYinVuexuAiDK10uxvw8iy5VVAs1JYCXZcmerb9yGW98UXxx/9kl7LjSnB9h1tA1d9rGl4t6rPYHNKKAIAQKOUOT59+u4PW0ZlIZRc94pox9a3AgDR4sSjf0MIcbvW3/wlmuF97nNommsBwdhFFH0POA1A1/qX/Q0nBjr0avZs5uLDX/QaVmpbMD50Myv408XFM3eWsmP3NipLZzrW3fg5hpMjrmNpjcry6UthA1i6F00LEYSEAMDySoIT/Oni0tkfW3p5Pty26bW8HO51HbNKMUIAIYrhpVAX8hoZq6CPezRUiCiW4ZV4rGPrHcnePe+vleafnj714w8Q7Dqxru3viKRHX++6Vh2AX78Bc1KwGyGK+/n3iRCXYNci2LUxtvVace4px9KKSqhzpxxou2Jx4tCX7eYEnGaEgD/af9Af7buaYnjVMioLteLcES8qk/cxvBKv5KcenTv/s79AFMOzvJqSg+ltohwbkgOpK2ia9wHgSQQ4MdjpOma1Wph+nJdCPYIc6adZIdDS9r8YCMY2zUmRZHzwRl4K9RSXzv64Vpw74th6iZeC3Y6p5eul+Wdsq55LDx78BM1KYYaTImvxqjG14lS9OH80EB+4PhAffll2+sg/ZcYe+rypFWcwdi1RiQxG2q94oxJo3+44RqWxtPAsy6spmhVDzaj0NUVKE4Dd1n7L8kq8beCqP2F5X7ywdOZH2Zmj3yDYNaMdW9/mj/ZdI/mTG5smqgBSDN+kfR9fy3oAAAARQj2jt11H0ZwCIEKiL76uXpo7Wlw6e1etOP8Udi2NYnif61h1AACU1dQohK0JJSH4EtJHfn69GLtquPuE61gNimYl7wCvlyq5yUcpVvCHUxtucx2zNnPmno/otZXzoi82QjNCAEIIWV5NyoH0FvAiDR4IIZTb1N6hN4++OjQS3VGbr1w0y0YeO9gKDEQ2i3G5wzUcnQ8K0dyJpUNiTGmX23y9ZknPmhXjlxh95bn6hL+90SdFhNSmjeFdpZnaWPZc8WmPzfM/GxBAhBDNIYoR490730UzvFpemXgwnzn5XdusLSOKESlWCAhSpK9z3Y1fEJtyB28zuTzsl0sF8VjEgBDsOLZRgQjR1fz0Ia2yfBpRjOD9ozmGk6JKqHM3QgwPEaJaZtnewfwyFKYQwpbkw9SK04sTj3/ZsbUSzYoBJdC+IxAfvFH0xUfyCye/65iNXCA2eEMgPnhjuG3ja22jtpwZe+hzucyJ/6PXVi5QDOfzBTt3yv7UqGXUloxGYdJ1rTp2bd02G7lKbuIh26gti0psiGJ4nxJs3yHI4b5aaf7pRmXxRL28cLy4dO4uCBEt+1Ojpl6et81G3vv9es51zNoLDwQRhRDFQoZXUwNXfYxhhEBx+fzdhcWzP3KsRp5ieB+NHUP2t13RMXz9Z5sMDe+t+C1/FlzbqDmWXsK8a+YzJ76zPH3k6xDRnOcfw/mi7Vve4gt17XJsvewxPFfvGQgAAAjRPISIbvmxsILalps79s1GZfGEVlu54FhaQVCiQ4nune9aCxNjNcCuY+r13BghBEMIEYQ0S7DreOxMQlZmj/5rvbxwXFKTG9v693/ES+T0PEBa7/+lr23rznNkmDQrhuLdV/5BrHPb2x2zkZ85ffeH6qWF4zQrhdVIz36K8RKkKIoRm0lxq4Zl1pYJdk3HMXBm7KEvaDVv6OI6Zp0XA52p/gMfYXk15TpWnWDXJuTFZfMUzfu8iHmrkZ19+t8quclHKZqTRF90ON595TvlQNvWWnHuqUZl8YQv3LVH8sXX+UKdO4nrmLnMs/9ZzU8/lps7/k2K4f2CEulXgh07ASCkXs48Y1uNPMaO6Vp6uVFeOmlo5XmG9yVYXonzcriHFQPt9eLsEa26fNo26yvl7MX7TL005wt173Edo2Lq5TnLqC6ajeI0J6hpfU0WDAS7rq0BCJEv1LlL9MVHHFsv20ZtqdpMdcOO1fCFu/f4o20HEU17Q1VEsYIS7oMQobXUtdi1GrXi3FF/pPdqXgp2pgeu+rjrmDXXsRq10uwRUyvPu7ZRiXdf+U5eDHZjgm0IIQUhogy9PNdkEl9Cg4cVWrLTennh2czFh/+KFdQUIdgxtNK0Emy/kmblSH7h9PcKi6fvNOqFifahaz/FpdRXUDQrsbwSBwCcWuu6AAAgKtFBACFyHVvTqstnfOGe/f5o3zVKqGOHIEcGGE6OEuzajcriCW+o2HGl7E9t9jxKIXSsRt40KpcUD/+rMPXSLCDEhQixghzq8dJmLS2YGHqZ0ShONcqLJ1hOidcKM4cXxh/9EoCQirZvflPrXid6wzcOvECDB9GMqC/PHSUEOxBCVJ06d3fxxONfc62X5h+0VvzuNngQzUFEMa5r1WvFuadkf2pzi3FQyU08XFp+8LOWUV2EENHJ3j3vi7SNvp4Q7Di/NQ28J9EytOJMJTfxSCA+dGO8c/s7JDWxwdSri/nM8W/XipmnsWvraqT3AMMrMeJ1nRstc8SXAk70t0MAoakVp0vLF+61jOpSk9m0okb7rol1bnu7Y+klQrBTK8w8EUwM3wwIAfXS/FHJnxplOClSWDxzp97Ij3OC2haID90MKYafOfuTPzEahalAtP+6SHr0DZI/NeraerlWmn/aNmtZQyvOIJoRaST4PXKD1agVZ58sLJ7+AUK0wPH+Ns+P5r+71ENIMS3JV604d0SQQz3Rzm1vpyhWrhZmHl+cfPwrplaeBwQ7sa4dfxDr2PZ7Hl1bW/PG+JJBPHouAACIvthI7+ht/8wKvkRx+fw9DCdHBTnS7wt17aZoXiVaeZ6sQg8NQIvB40m0TL08R7Bjtg1c/fFYx5Y7WrGivlDXLpoRgs0415cE7DoWQtRdwcTwy6PtV7yJYoUAL4d7Iu2b34AoRqzmpw+Vli/cW8lPPWpb9ZwS7Nihhrv3AQApUyvN2NalmVpbRnWZAO+AZ2qluZnTd3+4Wph+nOHkcCA+dLPoi6/LjD34Odc2yp3rb/4SzQh+Tgx2UQzvA6to8BDi2p5/D8XEOrf9HkUxguvamqVXF+VA21ZW8KeVYMcOADwd/YtV35ygtkFEMbZRWy4un73L1KsLplaatY16Vgm174ikR9/gMfcco1FeOOGPDVwLgGd8x0uhbl4O9RSXz9+j1bLnmE8M9gAAIABJREFUWE6Jq5HeqxneF8+MPfjZemn+qBrp2R9Jj96uBNu3u47VqJcyT9tWfcXQSjOIYiWPSksIdm29XsocKyyeuTMQ7T/IS8FujF0TrLLBR7DrWFp5bnr+2W/TrBhUw9371Wjf1TQjBKqFmcer+alDDK/E/bH+gy0JEC+FehDNSeDXaJSfC8fSS5X85CNqtO8ax9ZLpezF+0ytOCP64iOh5LpXBhPDL7PMxsrS9JP/WFkZv9+xjUqie+cfxbt2vINmxEswHIQQNqdYNCsEWEFN5jPP/qepVxcj6dHX83K4T1Riw7wU6raM6lKjunxa9qdGEaL5tRk3/gIs70t6nkGI0qrLp2fP3vvxamH6CeI6BgAQcqI/zfBKzBfu2i2piY22pRUpvbLAiYEOjF3TaORfEkvTNusrplaaFX2xYbNRnNaqy2fUaO8BXgr1VvPTh/T6ygVJTWxI9e37kOiLDRFCsOtaGs0IftEXX48Q9cNfZ/DJyKxv8PaNH+bDYoK4xK1nqpOu6WgUT0sEE1weL5y0KkYhOBTd2lisTfv7w6M0T4vTD039V/li4Zdo18WZ6gUpwifEIB9lBFqiOcS7Frawu7qkkt8qIEQQUgxENCepyU1Lk49/pVqYeTyS3vg6lleT1cLME5ZRXYp1bnsbIRiXl8d+6gt374UQUq3J+G8JpHWPJRg72DHrej130WgUpjx2I0QQUawa7tmX6t//UUuvLhQWz9zpj/Qe8BL0PP+Ny9GYgABARLEyAABo1ew51zFrNCsG24ev/0wg1n+dVs2eq+SnHhOUyEAoMfJyuukJtzL79DcKi6d/AACASrD9Sn+k94DkT45i7JoEY9syasuOpRUpmlN84XC/rKY2iWp8nWubNUMrTgOM3Vpp7ql85uR3PFY0hAAQ4LpWg6I4uV5eOEYzvJ+iOZmXw72IYvhqfuqxFzrww198FnhJTW5aGHvo81pt5XysY8sdNCuFqrnJR1zXasS6tr/DsfVSeeXi/b5Q1x4IEd2Unv7W4DpmzbH1MnZt3TKqS45t1CCEdUGJDiS6d73HH+27puxNsIE/NnD9WpL2APC8UwBEiGDHss36yty5+z5BmgmdFM1KkbbRN0TaN79Rr+XGDL44JfpiI5fr2gjB2B/tX3RtvUKzYsA2G/lybvyB3Nzxb9eKs4chotlIevPt0Y4tdwBCXK26dEoOpLcS7FpmozR9qXJVALzm0nMHsvGuHb+PKJrD2LWruclHRSU2IqnJTYQQ3Exo8pKLIKJZTomvJTjCNusrGDsWtu2KY+slx9LKiKJZNdy9N9W//yMMK4UXLj7yxVBy3a0Eu9Zqhn4UzUoQIsrUijOWUV2EiKLindvfnOjd/V7HahTqxczTAAIQSY++gRP97YAAUMpe+El25ug3HEsrSP7UZk5Q26LtV7zZtrUighSjN/LjnmWDbSrB9u2iEhuWA6krIKRo19bL9fLCcaOWu5hfOPW9anHmMCHEgRDR2DEbECJKq2bP0qwYoGjOx4vBLpqTIs29a9X3zOaQXScYu7wU/Kmhledso7pkm7VlihGD/mjvVaHObW8HwAs/kGzPMxAAiBhOjlIMpwAAVm28jV3HaFQWT2DsWoiiuWph5vHMxYe/6NpGmWaEACf625t+NUy1OPukXls574/2X8uJ/jRCFItWOaD7VXjSSG/4Vs6O/VSrLJ92LK3oj/ZfG0quu4UAQir5yYcBISCc2nAbRbEy16zrEM3KzQbPJYHlfW2eayintA9f/xmaEYIUzYqua+uWXslo1eUzll7J6PX8OIAQqYK/neHkKIRerWabWnG1yoYXg2PpJdexNIho3rH1UqOyfLqSm3i4kpt4WJDDfZH2zbeXsmP3Zmee+heW97elB6/+85ZMEwAAODHY2WKuPi8gopx6ZQExrMQGo4Plc8e+he21+ZRdDvzONnggohgIKYaiGDHWteMPaIZXS8vnf1JYPPtD1zHrEHk30WjHtjsSPbvfiyhGdG2jvFrmxOWHF9TnWFqRl0I9sc5tb2c4OepYegkhigmnNr0mmFh3K8PJUZoVA55+mWDH0kuXg3FEs2IAQACLS+fvnj17758Sgl1fqHNXID54g6jEhguLZ+7Uq9lzgfjgjcH48Mui7VveWi9nntGq2TOFxdM/AIRgVvS3R9NXvBHRrNQoL5zIzR//FkQ0qwTS22lW9FtmbVltyiv8TV8LACAkBLvV/PQhU68sqJHufbwc6gklN9zWMvTS67kx17H/25cDIUQjRDGIovlIevR2iubkSm7i4fzC6e85llZEFM0jRDGh5KbXtvUf+AjF8Cp2bW2t06bLA4Jb0ZoEu1ajsnjC0EozrbQBvZa/KCixkV/QZVcp0YKIbpk3Y9fWQ6l1r4ykR99gGdXFeinzTL2yeIJg14qkR9/Ymga9VGDsOsm+vScJIbdzgppqHzr4SUII1mvZ85Ka2GibtSwABAtypD89cPWfel48AHhpBJfGNvMo42aNohjRsRp5rZY9pwTat6b6D3zUsbXS7Lmf/lmjnDku+dNXOJZeohnBzwlq2ou2Bs9Lof+Vv19vSSQcSys0tPIcomgOQACNemHCMmpLwfjQTV6qp9UAL8LgaTIgUCU/+cjsmXs/7jpmtZmidbOoJjaUVyYeqpfmnvJH+69Vwz37w20bX9OoLJ82G8U/La9cvL+UvXAvyymxSPvmNzGcFNYqS6czYw9+jmDXVoKdO2lWDFp6dYGiORlCilYj3fsZVoo0ZWa4Vpw7qtfzF9VIzwFW8KXCyfWvIsTz0jHqhcnVpoAQ4tquazVcx2okena/N9Gz892IYgRTK88FaO56U4nOGo3ilMc2gQhCCGmGV3kp0AkAWBWVHWPH9sf6j9tmPctycrRt4MBHsWsbkprcyHBShACC9UZxSlZTm5RAeisAAEhqYgOiaIHmxOBq1ngumodpEQCvCF4cf/RvHNsoc2Kg09QrGZr1Elty88e/lV849T0IETO4/U3fRRTNc/ylNXhEJTrEiYEO7Nr68vSTX6/kJh5GFCuqse6DaqTvGiXYvo1mxXAlN/lwYfHMnRQj+JvSKOA6Zr1WnD96Keu24NhGxdCK06IvNiz4okPpoWv+vFFZOmXp1QUl2L4tmBi5RVIT6zF2zOz0U/9km/WV9NDBv6B4Niap8fWUx6h4weasEJHatGx9rjxROBUaiW7ngkLU164OuBY2K5OF07GtbQdNhctxQSEaWhfbvnxk/l5/X3iTWdZzrvXL8g7sYIcR6cORfv/GykJ9qjRTG7Ma/z+QZwEAAIAQeNITUivOHVmePvJ1f7TvoKlXM/nMqe8S7Fr+2MANublj36wWph+nWSk0sO1N/8Xyv5A+/HZAQMt3kBCMXdfWmo9dAACgGUENpza+OtGz648so7o4e/beP6mX5p/mBLVNCXXuBgAA19bLlxpf+6uAyDPg5aVQN8XwfkCwUy/NP+NaepnhpEg0vfl2Tgp0tlixllFdzM0d/w9fpHtfrHP7O/Ra7kKt6DVr9HphwmjkJ1zbrNKsEEj07HqPoEQHTa08l8+c+l6tOPskRIjBjlUHECJJTWxUQh07KZr3URQjUgyv0KwYZjglyvJyjOHkKEXzKnatejk38aAn2X2+i4AIQEgBQHA5O3ZfLnPyu8HE0E16PTdWLTxzGCGa80d7r16aePzLteLsEV6O9EtbExsoipV+y80+gLFrYtc2CMEuwdimaE4KJkauSXTvfDeiaH7u/H2fqJcyxzrW3fh5iCiGkBeX9zwXECIaAohcjE2MXcux9QqECHJSoCvZs+f9kppYvzRx6O9qpfmjvZtf/S+iLzYCAUAtmftLhW01cl5KkRioFeeemj511x/bZi2rBNJbk717PyD4YsO52WP/Xl4Z+1mk/Yo3y/70FoxdxzQqCy9lXYwdq33oYJkQ7EKIKJoV/K5t1rXq0mnLrK/o9fxF17V1Ndy52xfq3Am8cstEFM0xvBKnKEYCL8Aa+G9rOWYdEOy2vHUYTo4kune9KZIefYPeyI/PX3jgM9i19XjX9t93HKO6mqjvJqsUeswaX9LUSrOGVpwqLJz+PqIYwRfs2CkF2q7w3l8AHMeoFBZO/4AQ7HSsu/GvEKLZ8sr4A/mFU98zGvlxvV6YsM3aCkI0G0qtf1UgNniDYxuVan728Vpx5kmvJoPQdYyaqEQHwqkNr6IZIYAoVkI0KzGsGGI4OcJwSozh5RjjMXrh8vRT/7w2KR0hLVav0SjOQAhnKZr3BeKDN4TbNr4WAAhLyxd+otfz4wzrMaxB05vGGzRTa2q4EIKJEmyftYzqAi8Fu72GlVVvG7jq44Ic6cfYMWuF2cPzFx74tFZbucCwUkSN9F3tvQcUA9e4XgsU5SXFAgCAbWmFQGLo5ljH1jt8oa49jq0VTa0yH2nb9AaGk0IQIhpCisHEtQkhhKJYiWn6L60ViKLZ9XvfFfCeP2J4MdClNwqTK7NP/7hamD1sNPITllHLAgiBGu7eF0mP3i6p8fVabeUcJ/o7aEZQMbZ1cJnuL4Rg23XMKkWzUm7u+H/Mjz3wGUAAiXVsvSOUXPeK/MLJ/6oWZp6IpDffHklvfiMvhboxdkxAAEEUI7KCL9WqIZ9/AewS4En46tMX7qV4IdB83S9LCMFq8Tvc4EEMRJBCFCvJ/uSm+fMPfMa2GvlE7+73uLZRLWcv/FRObbgtmBh5uVbNnhWaRqi/pckJIcTT47m2UTH18uzkiTvfDRFiIEAIIooVfbHhRM+u9yCK5vR6bswX6txFCHZs6/KY8VE0JwNCcL2cOU6wYwaTI7cme/d+wDbr2cLSmR+ynBJP9Ox+jyBH+k29vDB16kfvq+anDxGCHV4KdftCXXshRMgzRsQOzQr+Fs0RAIIphvfTNO9zbKOCXVuvlzPHcnPHv2VbWpFmeNXTRALMN/2FCCCuL9S1R1QT602tPPe8qUsQ0QAhGiKalwPprZmxhz5vNPITsc5t7wAE28Wl83f7o/3XRtKjr9fr+XFMXJvh5Aj8LbzHhBDcTBYCWi17burUj97n1dSOSdGsHG3f8mZRiQ46llZsTlNWtxFAREOK5loGkJXc1KOV3NQjllFdch2rwYn+dLJ3z/u9DdK1KApdlsJRr66cB4RgQggh2DVNvbJQL2WeWZl75t/1Wn7MF+ra3SqkMXZtCBFtNAqTjm1ckrcAwa7lWI0Cy8sxihECiZ7d7wnE+q8zG8XplWbUbDi18dVqpPcqlvc0+yyvxFebcOA6ZtWx9DLBrpnPnPxOduboN1qG16ISG0727f1jQrDjuraGXcd4kf4OaDJYYKO8cMJ1rbov0rM/PXjNn7mOWS8tX7iHolk53r3zXaIvPuJaenn2zL0fL69c/BnGrsWJ/rQv1LUHIYphODkCAAAUw/tEJTZkm/U8ANilGc5Hs0LQsY0qIdjRKsunc/PHv23qpVmalcJ6LXeBYMfkpVAvhIgmgGDJl1gv+VOjhlacWW1KG8aujbFjUTQnc4Ka0qrLp029kqkVZg5r1exZVlDTodT6V/JSqJsQ7BBCCEQ0x3vGg4dWswYAABi13EVLK8+zvC8lB9JbK7mJh3Lzx7/lfY7NGicGuxLdV/4hRXOy65g1hpOjjm1U6EuI7oQQUYhiBEII0arZs0Xv/ZAohldDqfWvRJBiKrmpRyialWMdW9/WlO8BCCnGS/SjmbUYtEMIYaxrRzfDyVHX1ssMp8Tah679CzXSs58TAx0UzasYO4Zt1LKc6E8LcqhX9CU2eI18CC29suBY9UvSvbfgulaj1WCmGUEFAAJO0NsJdsxGeeEEK/jzABBnafKJrxqN/ESqb/+HGdaLY+WlcA/tJVm8YIOHDwoxRmb9cpuvR4wr7ZTAiLRAy4hCNEQQlcbyx4pnV54CEEC1N7SBkVh17mfj3w4MRraIUbkNPKcZyMmMb/C6jlf7O+T+ykJjimIozpcUOzmZ+YFZt/9np2g1o6Wxa2ml5fP32EYtq1WzZ5syN6DX8+OOrVcYTg4HEyO3KKGu3SwvxyGiaJq99Pjby4FfTPAJbg0YIESQl4Ld7cPXvTeYGLq5uHTursWJQ39rauV5QjDuWv+yIiDYJYS4GDuXS/YMWzICQYkORtKjrze10pyoxIYC8cEbOSnYhSDFNCpLp5oGp4CiWTnRu+f9/kjvAccxqvXS3NOO1cgjipWUYPsOf6T3AKIZkaJYmRF8SYRojpdCvYIc7oukN71Or+UuEoIdf6zvIMurKUQxgnfAgZBg7GDsBUO4tlmtlxeebZQXn63kxh+slzLPvOBFNBvetqWXi0vn7rLN+opWWTot+hIbACBYqy6fta16juWUWDg9+npfuGsvzUohCAC4HGzblwJEMYLnk0OxvkjPfjXad40SaNtSzk08lJ05+g3s2o1415V/GIgN3mhbjdyaWS2Qor3US8ciGDuIYng10ru7rX//hxHNSMtTR/7B0EqzkpocZTgp0nxSNEL0ZalfHKtRsIzasuiLDSOK5imaUwKxgeuTvXvfT9GMtDD+2N/otZUL3gFv9PUAQooQbLdquJe0tq2XCXYtSCGhnL14/+LEY3+rVbPnEM1JwfjQTdGOLW/lBH+7Xl+5MHf2p38WTI7c4jF45Rii2VVfP8UIKoQUTdGcEklvfpOkJtbTrBjKzj79b8XFsz9kBSXRPnzdp3kp1K3X8xfJ87Dk/xu8piVkWDEYadv0OopiRMEXH1Ej3ftFX3yEojlFr+XGGFYKI5oRCcBuMLnuFbwU6OQEfzo3d/xbXuOFYEGJj8iB9FZEMYLn7yJHEUXzLKUITKz/ukB88CbL8Hy3fKGuPYISHfBS6SjGi80mGGPH8FQMRs1sFGdKy+fvruSmHqvmJx9dU+IaAYQ0ZdA0w8u+cM+WeNf23/dH+w9i19ZNrTQbbtv4WpoRAjTDqxBRv7CMgBABgNYsI3Rto2JbjSIvBbs5MdBBs2JIkCP9nBjocF2roUZ7r1JCHTshRBRFszIr+FIANMkLiH5h9sivQZPBgwAAINGz6z2ehYYYIhjb0KU5iuF81cL0Idts5EPJda+oFWef1KrLZ5pJWwzL+5KIYni8RosLhGiutZ86tlHNzT/77eWpJ/63oZXnvL042BXr3Po2NdJ7gKJYydTL89On7vogRIjuGLnhc4ARVIpipUtJTX0+NM8ttuvaWiU38SBCNJvqP/CxYGzwhsLSmR9ygj/du/k1/8pLwS5EMYJWXTqdGXv4C0qwfUeie9e7EcXwzWbi8/o8Yduqc/5wn1FcOe/WynOMGuqSO/quYtXgmKtrBWybjRcahkBE0RAhCjuXltT3XPzuNnggogBACAIACotnflhcPnePGu7ZV8ic/C+tunxGCXVcSbBrTT77/Xe6rlXvHb3tn+RA21ZErX4DvXwgAADiEkCI61gN17F00Cx4EUWzgfjQTam+fR+2jOrS7Jl7PkqzUkTZ/ubtxNNPvGT/HQC8rioBgHC8mgIQUbXC7OEF/LBJ0bwaad/8RjXSexVqbmqOrRca5YXj4dT6V0mBtiv06sp5AAixjNpSYeH097XaypjrmNVIevT2kH/9FQAQ3Kgun1kYf/Sv6dmj37CMWhZCiubEQIeoRAcRRQuiLzZMM2KQ4ZUYyysJlvcleDncZ2ql2crK+IPPRwGGECEIEQUBAJWVi/fnMye/o4Q6riwtX7inUVk4IamJ9Yhi+KmTP3qvbVSXuzbe8uVAbPB6imZfuPP6fwmEYByIDywDAIClVxYdU8sTQLASSG9L9u39IMv7EpnxR74YiA3eSNGcvFqPHI8G7rG5sGNp1cLMYQC8TSKUGLkl2bf3A/VS5lhm7KHPp4cOfkKQw30vEPqxJph6ac51zDrNCGolN/HQ3PmffapRWTzBCf50qn//h33hrr2VlfH7K7nJR5K9u9+LaE62jMoidi+NPUWwa7WkdaISHRCV6AB2bcMxtXwgNnCd0SjOuI5RaU3GAPASkpomvC8Kr3jXS9ijiy7YZj1HM7wv3LbptbHObb9nNAqTmYsP/1Vb/4GPEexYL+Y10fSMIgzvi0NIsY3ywomFi4/8L4rmfOG2ja/2xwaubzGvTKc8XyvNHfXH+q9Twz379HruIsGuZZuNXGnp3F1abeWCY2vFUHL9KwPxoZchRNFaLXt+aerw/16ZO/5Nx2rkASHE+z7FhhHFCIIcHaBZIcBySozhlZaOvc+19FJp+fw9q75BE2wT7FqWUV2cPHHnHxHiWhg7lhJo3xbt2PIW0RcbqRXnnsrPn/hOsm/v+yU1OQohophm4thqYRqVjN7IT8rB9DbH0opz53/2KVGODvjCXXskNbmRFXypeinzTDk38RAEAHSuv/l/XbKsBUKKor3pC3Y9D4xY1/Z3BGID11tGZdE26tlE9453YuxYNCP4m81WAiGETTq2D6xB/w4RxbC8EkeIYiArhdOD1/w5AASbeiVTyU0+otWy54xGacbSSnM0J4XCbZtehyiGB00HPsdq5F9q/PRzzT0NrTS7MvvM/1vOXrjXsc1qvHvHOznB3zZ79qd/jhDFtg9f/9lAfPCGlgkqJ6htTc3/C4Lz82Gl0z8oxuT2lWOLD539l2c+KafV/vC62JWpfV2vqM6WLiw/nbnf0W1NSatn1v3+1r9kJNanF7VlKeXrBc9p8IT7/RuSo+HdFIs4W3PqubHyyWCXb4jmKB78D49JbzJKIHZt3WgUpsLp0ddH05tvt836iqVXFoKJUDcr+FKt2FWa4X3NmgNyvC+11ubh5cRzhgqEeP4ElBLqvLJ96NpPKYH01lJ27L5KbvIRTgx0ul6jvtRK//SSHy9PRDpojtMBAIDhpHD3xlu+/Ks/4DpmrbIy8SDNCH7PG8KXjLZvvh0AAFjgS3aM3PCXa1nMF+7a41h6ybG1klZdOm1bWsExtbxt1nO2WV+xzNqypVcWTK08Z1v13KpSVpuHEdc2apZeycQ6t709lFz/SqNRmDT18pzoi69neTXphVsQQNOC2pReQC/GnaKfd7D1GwBFMRJN8wrN8L5E95V/aJv13OLE41+ulzPP+EKduwKJ4ZsD0f6DiGIEx2p4IQVrAESQBgBAjG2dolk50bPr3cme3e+lWSFYyU09Kgfatoi+2DpODLTzUqgHAAAQpBgveOOlwzG1gm1UlwAhhBP86WTPrveE06OvoxkhYBnVxaYvWb3p/UcA8MzHbb36omzgF13bNioYO6Z3cMyerRXnnpID6a3Jvn0fDET7Djq2Uc7OPv2N5akn/8HQCtOCEhlUIz0HaEYIrGUA7XlXUgzL+ZJtA1f9iVZdOrU48fhXbKO2HGkffWM4teE2OdB2xc/9B1fxHhKC7dbrEe++8p3x7ivf+dz/x9ixasXZw4ISHeLFQBfF8L5Qct2traZCsm/vB1b7/FuyKcfWy46lFY1GftKxtKJtannbauRso56zzdpyy07CMioLl6pmIN6W5yCK4duHDn482rH1bRBRdDU/dUivrVxgeV/SF+7ZCyFExeXzd1t6eT7Zt//DXrPp0hg1ruulnwIAQDNRrDJ79t6PtwaULSCK4QPxwRs5IdAOQNN389fJg34NEMWKrfpYVKKDzYHjT6r56UNabfmcZdSWArHBG2IdW+6o5Ccfnjt33ydFX3wdwdhBNM2ygi9F0awMAFhTgwciimnth5Xc5MPz53/2SYRoPpre/EY12nuVIIX79HruYnHp7I+r+anH9Fp+TFQTGzrX3fD5VvovzQqBy8Xg80THFI1dWzP18nyqd+8fxzu3vd02GwUlkN7q2EaFZoUAomi+Xpx7avbcT/+0UV444Q0UCIEQUr+uJnIatRVIUQzArk0JUrg+c+E+MdGxQx0YfR3Brm1XS7PBTbuK2DSqxHVMiBANKZqlOCEY231DwmnUlgEAf/dSr/N3uMEDEYQA2bZeKq+MP0AIcRFFc2qke5/RKEzptdxF7DpGOD36BtnftlnyJ0cholmGE9d0MLlMIK2CoTUF8wwufcm2gavfEYgN3lBeGbs/O3P0n41GcVZSE+sJwK7nkHG50hYghBDRgcTgTbXS3NM0K/pDiZFbW34bei17zjNXM2umXlloH77uM16a0cIJAxUmsWtrLK8keCnYHUqtvw3RrMQLgQ5EszIh2BF98XWhxMitej13geV9KVFNrPduWBRLAMHNOFxMsGO6jlk3GsXp4vL5u8vZiw/ojfzECzxnBAFEjmPWSivjPyPYMRGiGDnctdfUSzNGozRDCHaDieGXy4G2LbLfo47+fCL0G0YzxppAhGjBFx0KxAZv8kd6D9TLmWOZCw9+lhV8SUlNbDQahYnV0GU9QOhJ2YjrurYGIYSsoKbSg1e/XY30XV1cPPuj4vK5uwU5OtCKJUWI5loeJJeKZjLIDO0XNlpGLatVl0+3GpEEu+b8+fs/7TpmLdGz6z0Uzftc16zb5qWzEDB2bcdqFAHwboy1wsyTxaWzP6wV548iRLH+WN814dSG2yBCdG7+2W8H4kM3M5wUYgW1bTUGeIRg1zvgEEAxvE+N9h7o2njrWxhOCi9NPvH3tdLcU7GOrXdwgppaTdpEM5WL8kf7r63kxh+CEFHBxMgt/mj/QYaXY0a9MEkItgl2LFMvz7cNXPUxNdxzwGgUJj3pnmPQnBhWxb5rg8mRWxDFSpygpimG9xFCXEGJDgXjwy/X6ivnGVYKSWpyE82KQYQo7pe/T67lOmbD1Muz2emn/qm8cvF+rbK0apO81utCCCaIonVBCvdFOra8xR/tP2ibtWy9tHAcQoqNtl/xJkGODDYrRLgWk2UAACAY447h66cJdm2Gk6OiLz4SSY/eHoj2H9Tr+fFKfvox26gu04ygyoG2rd4q6JIaPB6Dx2vy+sKdeyR/cjPDikHHNquAAGxbWmFp6vDXBCU2LCiRgeWpw18NxkdeHogPXM9wUpRmhABYS4MHUgzNNKVkhLhyYuGAAAAgAElEQVR6fWUsO/vMv5WzY/fZZiMHIaQFJToQSAzfJAfatkEA4eLEoS+H2za+hpdCPWTVe8ELg2DXaR++VicE48rK+AOL44/9teRPbe5cd/XHXcesFxZO/yDWseWO/4+79w6T6yrMxs85t9fpdWd2ZvtqV3XVZcm9ybhgsDG4UQzBBmJCJ/kCST6SJ/kSAgSSUEMMIQEcmnvBBUtWl2yVVdned3qfO7ff+/vjzhjDD1u7khDPw/tIWj2PNHvvnZ177jnveYs71HcdybiiilSYlMqLRz3hvp0Ywbhx6s0JO1MxZWADWy0rucp44bjR0OuUSHtN1ZCLp7OHaC8bjl3e8XbGxz5LCBRePJk9gLMEH94cv644nPmNZgxXG9dJMDi/eDy/l+IJ0RXlkpRAui/U7t3vF7Zl27aF4RTf1nPZJ0hajJiGUpMqqeO2bRlSZfF4rTizHwAAWDG8kua8nbpazxIUHyJoIdRUSl30imzbtm1PqK+1OIIIw2lfdPXb21dc/XlGCK0Atm25Ap2XCb7EVmBb5sSrP3sAQvhUcuVbmldt6gCcezbJb5wLALZpvnntNsIILpTc9H7btoxqYXK3IpWmo93bH7Rty9SUWsq2TB00c6RMQ6kYmlI2DbliaErZ0BslQ5OLzVySoqE1SpZpyE65ga7YpqE4+Wi6bJmGYtvWudkCHIWrRZCcL77ims9TrCdhqFJeV2tZ2zJ1qbzwStWcehkChHhPbCPDB/sNrVHCSdZL0k5rDVhGrseFRLOpR2xdCAAQ8J74JggRRrGeJO+ODRUWh39Bse44xXqSSw3tB8B5OLQPXI9DCCGG00Ks76q/sG1Dyy+e+Fk1N/EruZ4fh45VbjXniqy2TEPBcIqHCBFoiYrcs8E0Nblr7a1lGwCb4jzJQNzJ4JRr2ZFacXZ/JT/+AoaRXCA+dDdOcj4IIXQYnvPP6DR1pdqyTbFiaDDcufWBcMeWPyEoIVwrzR3Kzx/7saHLZXew52pNCaUZIdgPAEQ4wbiX8z7jJOf/dU6IbSGM5FyBrssb1cxJT6jveoQRTGpy39e9kcFbnEgLdNb1oGVqMrDfOOweQozwx9bcYVmmrtTzY8XJ/Y9Huy95ECc5n67Ws46qxrYt01BNpyCmbOpKxSFx5JKhy0VDa7S+Fp32UkNt3o+qZRqyZeqKZRmybZkXNnTfdnLIdFXKpSb2fE1XammK83Y0859gM09tr6HVcwwf6I12X/YJAJygZYQt3xVgmZpkGo6iHWEkCyCAhcXhR1r/jjCcYsXwYLhz24co1pu0LEPDEIk7Cp5zJXgIBjTnZoauVBfHdn0pPb3/W6auVnlPbH28/+q/pFlvx+Lknq/l547+UFfrOc4VXd16PcW42jBHnb6sLE3L0GUnyNu2bdvUo13bPyr6Oy8FEKJqYXpPdubI9zWlumiZWoOg+GC0Z+ATgfi6O1khtKJF6uAk621mIGbO5dpfDwgxAuEk36ikhy3TUADCiOzM4e9XC1O7CYoPeCNOLlUxdfpxQ2sUw51bPwRs29bVetp5GECE3oRs1qrFabWUGyVc3g6zIeXdA+vv1kr5cUtX6wAiTOhc8RZEs14IEWabhmJpqmTbtkFwYps0P/ESIi6MCOGPluBxWGkILEOTWCG4IhAfuosVAv3F9OnHBV9yG0mLUZygRV2ppTWlsghhYiuEiCBpVxRhOHWuSoNzRdPDbIPmLhjviW2I9V31F6K/c0dxcfiRenHuAEFyAYjQHMMHjCblbJmmvqx6yjc+vmkAYAPBm9gysO19jzkUGcIhRJhpqPVGLXvGNg2Vc7et84T6r0MIpwGEmOjruETwJbeClo8BQNgUiLy2G2CZhmqaWt3UHWuFaao1pV6YaA7sJV2r5zSlltGV6qLaKM+pcnnWqTq3jSUM4tC2DJWkxbbk6pv+mXe1DZWzY8/x7rYhguSDOMl4dVXKqY3SjOBNbAUQYgQtRjCMZExTuyDv3VIAIYS+tlU+AAAQfZ2X9m++96dyLXs6PX3w22qjMC0Gui4Pd2z5IM35OpV6fmypWQZNBQ/ueK0NVfAmtrb1XvYJd7Dvunpp7hBB8+FQctN9rBBc0QpIc2Suy1uA/zYsU28oUmGSc7cN0ZwnGUpu/kCs9/JP4xQfLKVPP+FrW/U2gmR9NOfvhgjhlqpJunLuBI9tm7qhK2UAAFCkwsT08BOfUqTipDfcf0Oka/uDDB/oq+QmXkxNvPw1qZo+wYrhVQTF+UhaCAF4dskSwkgGwymhuTD7pGUZWil16tHM9IFvYxjJRbsv/Xggvu5dEGHEUqTMtm3qANiAFUMD/Zvf/RPgCM5wACCyLUNV6vkxXZNynCu6zh3svQYhnAIQ4TzJuDl321rw2v0EYPPXa9fQJG3qpqHWcYrzmYZaUxvFaamSOmbqcllzdp0zmlxd1OTynNoozRmGWnHyFJa3I2zbtgVs2yRpIRTu2PrOUHLTfRTrjsu17BnL1GVPqO96knXFNLmakmvZ05w7utahHIllT3h0TSo4rQMYjuO0WJg//rDaKE23FkoII1kMJzlHhdZsLMKWL9lvETxOXhDjsi1Lz0wf+m4pc+YpuZ4bYfhAb6Rz24cRTnIzw09+pl6aPyL6Oi8FAACSEoKthp+lH+/XSiNFyk9MHP35h6TywlFGCK0IxHuvE/2dOzCc5BvVzMnF8d1flkrzh92hvutbdfAYQYsXhtyA0DINuVHNnOI9sY0dq2/+MoZTfKOWPR3p3v4gwwf6MZzi66XZAzOnnvmcKhWneE9sA04wLoLkAhBC+EbjUm2+MqZLWpXgSJEJcjFEYpRckFLRHYmbEYHI7JHFX3kHgps8ff71OEcKcqY+V50pnxHi7l5TNX9jHK4sSlOVhfoE72eiiECEr9u1MnOyeMhQjIseUrhcWJahmoZSxQnWrTZKM6nJvV+Xa9nTcj0/alumgTCCEf0d212Brsu1RmV+5uRTf+4J9e1sX3Hd35CMK4Y7mw8XneABwBlXAGjmuTKeds4VXmXbwK4VpvcYhlIlKT7EipFVmlJZ0LVGwbZtu2PVjc5rbcu0L1C1K7Bt29R/vXGlNEozWqM8h3CSa2XWEbQQ1pVaupAa/kVhYfhnnCu8Ktg+dJdlGurUsUc+Wi8vvGJbhmYaas22bbNVSQte+6NZTeuI9X8vjVWW6di6mkGwp9JT+77ZqKRPKI3itJNrQ/KuQPeVor9ju1zLnpk89siDwcSGd0d7Lv0YzXk7m/f/H4TgwTCSxQhatExDrZfmDuYXjv+0Wph+2R10rEJTxx/5WL04fyi5+sYv0qyvc3njMHzNggchImrF6b2piT1f0+TKAkQYwXvbNwfa1rwTIxlXIXXqUaVRmol0bnsAOgqeC7LwgRCh7qG3UwAAaJummpk59N1qfuplqbJ4DABgB+Lr7gq0r7/HKSNotcvZphOKf34wDaXSUqSLvo7tor/zUoQRrK7Ws3Ite5rmPMlGzRjhPfFNvraVb3vtWUUyboQth+Bx2mcNXS6XM6PP5heO/0RTqouB+NDdmlJNTZ94/FOWZWruYM/VLQvNWc9dV2stpZ9pqLV6af4IRtCibVmGoTeKGEbyEMOpcmbkmezske+bulrzhvtv4DyMKz259+uZmcP/CWzLNA211tzwBOB196P96/v093Zf/i5AiDCcYv0IEYzT8NR5uSvYfaUmVxZzs6/8QJUr8yQthF2Brss5V3QtKwZXtGxaEGEEOgfLlKkrVU2pZ1ptbjjhWLJt27ZJWoyEO7bdEUpseLeu1fOpiZe/xrnb1gXiQ3cjeD4hyzjd2tytFWf2pSb3/CuG065Q96b3+WOrb5cqqePjr/70/kYtfZLhA72eUP9O0d+xo3WtJO1qKXiWd62mJg9se18GAGD7IivfCiI2kOv5sWp+8iWEMEL0tW+xLFO3DCeImOa8SZxgXLXS7EGa9SQJWow4cSttQ+AcWkx/GzjJ+XCcEuul2QNqozg9feKxT9KcrzOU3HRfID50D0HxfrVRmuU9betxgvWUc2PPL46+9EWMYNyh5OY/aUqA3vB+sXStwUYSj4d2vOXvUYBYWzpx4D+oQGQVRjHuxuL0XqNeWWSiiS1GrTJv6apkW5ZhKnKJCbdv1OuVOeSEdp83/mgJHocttEyC4vy+ttVvty3TKCye/EW1MLVbkyuLlez48xAhwhXsuYqkxahpyBWECTRB8+HmBP68WcIln2vTDwgAgBDDKXew56rONbf+He+JbbQtS3eHeq91h/qulSqLx8cO/+je33jledTnvh6WqTeDYyGCEMOdyEVDtS1ThQjh/ujqtxuGXCmnR56ul+YP++Nr7jA1teaQEU6tqqE3SqauVBziRim32HnTUCXLMmTL0GQnw0STLFNvmIYmWaYun3MrQVNdgBG0yxdd9TbbNo1S5sxTldzEi6pcWdDV2gsAQCD6Ora7gz1Xm7pSwXCSxwnW21Tx/E7/5O8FECKC5AMAQEhQnA8jKEGTK/O8J7ZR8LZv8UVXvU1TyvO6xnod69kSF3QtggcizBPuv8Ed6rseIZzOzhx+qFaaPagrtQxJixHeE9/YWiQinOQBOj+po2UaiqZUFyCEkHfH1rNieGVTrp2HEOFSJXWMpMUoI4YHAQDANA3FOI/2MtuyjKYtAGA4JTB8oC/Yvv5ef2zdO01drqQm9nxNlvLjBC2EOADsFsGAk5z/11zJGwPDSB7DaREijKA5b4em1LMk42pzB3qu4j2xDZy7bahRTQ0L3sSWlhLqzWAaugxs2wIQQIgQ4ciNDdW2TA1AiDzh/htMU5cqufEXqoXpPcHEhvfYtqXJtexIi8AxtEbB0JWKaSgVQ5crpnNPVUzDqfl1fmsN09Al56tzX51Py8f/D82cJZr3d/naVr1Nqiwezc298gOCEkIM7++R67mR9NS+b9SKcwc4d3Rdh+vmLwHoZJ8t91CG1ig61hBAIpzkUpN7vwEA+B4ATusKzQd6wh1b7neC2R2Z7LkQSa+3aJmG1khN7Pna4sTLX8Uwgg0mNrzbGxm8pV6aO5SePvgdVSpMEhQfau3QOSH3zDLzMRw9l23blizlxzCM4JKrbvoiIwR61UZprpQ+9VijmjmlypV5gmR94c5tHw60D92Fk5wfQgib7SksOIda1NfOAGF4YuB62jTUWqOaHvaE+3cC2wl/VeXynOBNbCVpMVovzR+qFWf2ib7kJXR86J7WtTq7dhCCNwifIjjSZWmmYjT0OkbiFClQXmmhNqnXtTJG4SwpUl61JGcMWZdoLxvKHU3t8q4IbuJjYrcuab+xiM0MFw9xXjrUfXX8NmDbVqmqlfLjlRO6Yl40Qv5c4eQ1lGcQT9ClzJmn8/PHHnaUChTHeeKbvNHBWzCM5EvZ0WcqufEXAQB2MXXqUV/bmttZMTRIc94khPD0xVzcvHbuTpimhTCCISjWNzfy/N8hjGAhgKgVNipVU8cXRn/1j82F8OvRJEzOH7ZtWYI3cUKVKwsU42qrFWb2LY7v+hJJCxHOHRsSPPFNGEZy2czIM3I9P+YO9lzjhGCaGk6yXop1x4upU49d0HHwHGAaak2TK/M4yXiKqZOPlrNjz0OIIEZQIu+LbfdFB28BAKJi6tSjteLsAQABzM8fe9gbHbyFFcMrCVqMgos5R3kdmgoewdDlUnr6wLc1ubIQ7dr2Ecsy1NlTz3xOKi8eY8XwACuGV4Flj8NO/6vd3BHPzx97WJMrCwwf6At1bH6/N7ryVqm88Gpqcu+/GVqj6LRwglZj6AVR8GA4yWE47XIyQeRydubQ9+R6fpT3xDdGOrY9QLHuRHb64H8QFB8Md277EACOuv5CqClNXa21yFSEk3zTAr1QyY69UEydekyu50Z5d2w9546urRVm9mIELQrexDYMp4RlWrS8CGKEVM+eSU3u/TrFuGPR7h1/JlVSx+bPPPcFTamlA/F1d+Ik59dVKf8buTJvAKVRmmrUMmco1t2uKfXs9PCTn8UJSmSE0IDgS2wlKSFcL88fKWfHnudc0TUEyfpBU9HLiuFBXammrQvUhHQhgTCcCSU3v98d7Lma4QM9BC1ElHphHCKMpFhPeyvQmWRcbQQlhCxTl1vKNgjROSlqLMvUI12XHLMMVcIIWnAUIRC6g92Xdw/d9nHR37GjVpjeszix52uKVJhAiKBt01AghlPnHMJu21bz/jPLmTNPe0L9O4Pt6+9FOMmlJvb+a604s59i3YnOzrd+VfC0b6E4b/L1nzmC5kMYziw79xAAAOqluUOeUN9OABFmmbqkq7WMKpfn6uWFVwxVygOEcNGb3Ma6wqt0pZaaOPqzjyhSYbyt59JPBBMb34NhJOsKdF+J4dQP3zDYfolgxeCAptYzlfzkLgAAcAW6L2/rufzToj+53SHrbJukhZBcz40ujO3652Lq5KOmppSj3ds/CiHEgG1bLTLqDdFUusnpucMYw/ps01ARQfF0ILpGqxSnLU2t6fXqIsGL0cbC1B4bANtenNIgRDjp8nZChJBtnd8z7I+W4DF0ueyoQCwjNbH334rpk4+ZhlqzTUMhaDHiDvVe54uuvFVtlGdmTz/7VxTrSXasvvlLNOvtIGkxDC4iwdO0vGvQqcttF7ztmy3L0MqZ0WcBABbN+7pJWoyqUnHK1JVqy5MImgzPhTgDTallHB7dVCu58V8pUnGypRmgOV8nhAjPzR75QTF9+nHR17HdG1nxFk2uLEwe+8WDqlyetW3bbIYtWq2vNrDMJXnVzxGtKk9g22Z+7pX/zswe+Z5lqHXL1GWc4vwuf9fl/rbVtxuGUl0Ye+mLGEGLnatv/heSESPN6r+LNnmCAMJWYK6m1DLVglMnDgAAvsjgLempfd8oLBz/ad/me34MEUa2WkSW8H0RRAiDEOIII9jF8Ze/Us6O/tLUlSrJuuOeUN/1nBhZWc1P7iJIzs+KoQGneensuzVLODoCwLGelbOjz9ZL80eqhZm9CMOpQHzoLsGX2EaQjh3Otk3dOg+1WSv1HgAACJILtK+49q8duaZt14rTe0nWFUc4wTKcv0fwJbY2bTSAIFk/XELoEIaTLEZQYktaXMqMPF3NT+5q1aNOvPqTDyKMZPs2JbchjKDPpgrS1XrGti0DApuo5idfalSzZ5y3DACKcccxnBLy88ceLiwO/5zh/b2+6OAtpqFJM8NPfrZRy5x63X3k3FfAtmzbMluEy7m+j8sFRAiHCBFyLTeyMPrSF3l32zpGCK3QlVomO3v4+7pSz2AE4+Y9sQ3uYPdVzsMPWG/aMPAGUOXKvG2ZOsAI1mnYc0CQrMcfX3dzKLHxvZZlqsXF4V/442vfSVBCCKFzsGg59jnctm1bqqSOFVMnH3X5Oy8LJTfeB2xgLYz96p8alfQwxfk6A/F1dwqe+OZWExzCSZ6ghNBSbH8t2LapG5pcAgBA0dd5Ke+OrTc0uVRKn3lSU2tpJyQ+tkHwJS8hKSHkDvVdB4DT5oaTrA8nWQ/DB3rAElvJfhcwjGAIivMbmlRoVNPDcj03kp05/JDoS24PJjfdx4rhQbmaOU0xYpTr3Hq/Us+NZWdf+QHnbltLkJzvbD9PpdhIV2fKI7Sfi7IhPuHu8a1Z3DPzhG8w9Ej3bYMfwQt4ytsf2IBzpGv+xcmf2JZtaTW1WJurjCqFRvr134sSSFd5rj5++KHT/49xU/5qqjFTXahPWcYFy3j5vcE0NEmu50YZIbgCwykew0lW8CbXCt74ZoQRTCl1+nGlUZyhWHc8lNx8HyuGV5VSJx8tpoYfadqIN5Sz4y+AZWYcXAg4LXuGBhFOkYw7blumjlOCEIgP3c17YhuqhemX01P7vyVXM6d+xyINggsR7taEXM+dqWTHngu0r7+HFYIrot07PtYkxyFOcX7TVOuecN913vCKGxBO8hTrSZCUEAIQYt7wwE2FxZOPgPO4Xy4EDF0pK1JhUqDaN2E4yeEELYr+ziHBE9sAIMJyc8d+rCnVRZrzdka6tn2YEYJ9ublXf1RKnXq8rfeKz/BOG9HBi01UOWrj1YITNA1RtHvHnyGMYEvpM0+lxnd/RZXLcxhO8f7YmjsY3t/tNJYufRy2bduO91+tNi35OgBOq2p8xTV/xYmRVQjDaaeJ0ddlmXqDEQL9rVPDScZ9IXKqMIJxE6+znRIk7xeTnZeGO7bebxpavVaY2sN74htFf8eO1tjn5NZdAILH1KSWzdvQ5WJu7pX/yc8d/ZFcy57BSc4X7tj8AV/b6tuq+and6ekD3452b/8oAMCGy7AkQ4iw7nVv9wCIcIrzJjpW3/RFiHAqNbHnX/NzR39k6HKF4QM9gfahu3GCcSOEU0sheExdqRUWTvzEHey5Cidpd6Rz6wMYQQlqozxHs96kDSyL4rwdsd4rPt1sG4pSjDsOAES8J77B2SCDL/8hCOw3A4QI0Zyvi2a9HYbeKDaqmZOqVJxynpX5UQwjBU+o7zoIEV5Kn3mqXpo/Eune/iAnhgedUNxzs0w1qpmTpqHVMYIWEHKIm3DH1gfcwd5rLMtQaT7Qm1x54z/hJOPBcKc5DJi6fK4Ej2M5tS3bNBRvdNWtrBga1BrVhezs4e8hDGfaei77FCuGVjBiaBAhgjF1pSw5ZRoxkhbCCGIEyYhtb6bmfSNU8lO7o6bewDCCLWVGnp4ZfvLPAQA2xXo7RH/HdpIWo4pUmMxOH/pP2zI1jKBFb3jgJtHfuQMAiAAEQPAmtgre9s0QwhfP9TOEMJzsXHPrpuLi8C8gRHika/ufhju2fJBi3e0QIsy2TEOWCmPFxeFHcnNHf2hZhiJ6k1t9sTXvcPk6dgCn3dkyDKX2RsfAKEYMbb/hvWajntPrlQXbsgycFUIYy/kxhgtQvtCApesNNprchjGsF5GUoNcq87ZlGggnWUvXG2fL+VwK/mgJHl1rFHS1lrZMQ9XVWkZX6hmcZL3etjW3+6Irb0UYwZTSZ57KLxx72NAaBbmWHakXZw+6gz1X0by/F0J04iI+WC3LNFQAIUZSQmT6xBOfzs298t8YwbhDiY3vxSk2kJ195QfZ6YP/YVmmzooh51WOqPGCnGM5M/JMpHPrAwgjGLmeH7EsQ2WF0CDviW3AcJLNzhz+PkQ4Fe3a/iDFehIQ4TTD+3twkvXUywuvXohzWC4MQ6lqcmXBMg1VU+tZXamlcYJ2+9pW3eaLrnobQQnBcnb0l7m5V/9HV6pphBNMJTfxoq9t9e2sGF4JEdrz+ySgfgMQolb2TyU79tzixMtf9YT6dzK8vyczc/A7pczos6wYWokTtMsyDXUpKhEAnHJb27Ytp/3p+MPZ2cPfxwnWE4gP3emPr7vT0KTi4tiuLxmGUnEHnYVjk+A5LwUPRBjZ2t1v1NInp44/9gnTUGvuYO814Y4tHzRNTcrOHHqorefyT2E4yQLbOq+WFdu2DNOp8rQxnGRp3t9tmbrSqGVP14qzByq58RdJ2hUVvImtUnnxVc4dXUdQfAAnWS+AZ1fwIIzgMJwSTV0uL47v+pKm1DL+ttW36Wo9O3Pyqf+jSIWJtp7LPtm0H7FnW8tUcuMvaEo1RbHepFwvjBu6XGLF8Mqm5cVTXBz+uWUZSrhzy/0kLUYQTnI4yfkIWggbhek9f+jd5xYISghHu3Y8aNumIXgTWwAAoFaY3gsRRnrDAzeSjDtOc54kxXoSzu6m8yDGzmECojaKk7pazzrBqY5ElRPDg8lVN33SE+67vpwdf35xfNeXTUOtUryvyxcZvBlhBIsQhlvLsJ7ZtmVYDvmvN/3V97v8XVeUsiPPFBdP/oLhA32JlTf8g+hLbsNJLmDbltEi1iCE0Bn/MAIsta7WNFRFKk7ZtqnjBC1aCKcUqThp25apq/WsKhWnEU7xoi+xFScZb37+6I/rpblD7lDfddGu7Q9iOMmL/s7LzmdSg+G0SDHueDU/9bKuSQWK8cTDHVvvD8TXvsu5jyHk3G1rTV2pFFOnHktN7f13VSpOhZObP9B8z950nJRz0kJlsjgMEURaVS3KOWkBAABKI7kjM0+P/dfAe9b9JUYTLMIR2XZZx63egeAmRGLU3C/Hf6SU5N+wJPm6xEExyiXnDmVfzJ4u/UGeLecKy1Drci03gmI47Qr2XI2TnJ/mvMnszKGHGrXsGc4VXRPrveLTrkD3lQTFB8vZ0V82qpmTcj0/Gu7Y+kEx0HUZNrXv6+APQPA4Y7Sp4RhBu/wdl3YP3f4dghJCci1zavbUM5+vFqf3OIGQGIHhJG5ZppYc3AkAcKzCS7HCLhWG1iiHkhtf8kZXvpVzR9cYhlKZPv7YJ1S5Mo8TtAs0x2He3TbkjQzchOGUYKj1HM37u8RA5+WB+Lq7EIZ/6VxDVy/INehyWZEKE+5gz1WeUP9Ozh1bj5OMJztz+D8VqTgleOKb2ldc/Xmx2RxTTJ16TK5lT5u6UgklN73PHei+MjN98D/Axf4sQIQRJOuFjtyI4VyRNenJfV9fGPvVPxqaXKJYb0eoY/P7wx1b/gRChDkZY8trM7QtQ3Wa15yFXKz3is9wYniVplbT9eLcwVpp9oBSz4+xYnhllL+suzX2EpQQRjjBAQDK53OJOMl48OZGKYZTQnzFNX/FuduGEIbTlqFJOEG75HpuVKkXJ50MHox0YhTOn5gwDa1u2Q5BqtRyY/Onn/uCYShVT6jvumjPZZ/gxPCqUmb0mUYtfTLatf2j7mDPNS1F91KzXhBGMBhBC9BpvPLZlmnMnnr6/+Tnjz1s25Yh+BJbEit3fsId6LnKCWNYWoOwbVsm54rsVxvlOZrzJl2B7itnTj752VJm5JlmsQKECMNpztvljay8BSNoQa7nRwmS9VOMuz3ac+nHFakwAQA47zayC4Fm7qINAAC6Ukulp/Z/q16eP6xIhQlNrixSrCcRTGx8ryvQfYVcz47MnHzmL6uFqd0YQbs84f7rOTE8CCEiEDw7Ofa7jwSErMIAACAASURBVG/qLcs/Qjht25aZnT38UCk7+oxtGhrN+bp8batuJUjW6+QkQYQcBc85WRUNXS7btmlgBCWIvo4dtmVqNrBMVgwNKFJxql6aO4hwkqVYb2elOPFCKX36Cds29Wj3jo+RtBAGEEIn6uGN1bxvBLmWPVMvzR9yBbqu4N1tQ+0D1/4NQQlBRgiu0NV6pl6aP4KTnI9zRVZZtmXgBOMRvIktOMn6gG2ZACJEse54uGPL/Y1q+iQ4BxEGhBDynvZ1jmLQ3xPvv/pzlqk3aoXpvQjrYWzb1PPzxx4uLAz/zDSUmjvYe603MnAj74ltQOh1KkXbNk1D/Z0ED0QICZ0DlwmdA28pndj/HYxmPYikRFL0JBCG05WRY/+r5FMnjEYtC2xgYTTthggnLdNQIYaRCCNoQ6qmzzn77XX4oyV4bMs0EoPXj7iDfdcxQrDfBxHuj699l2Vo9dzsKz9o1DKncJL1hRKb7hN8iS3F1OknCovDP3MFe64UfcltpfSZJwEAF8fz71RcqwAAQDKuNkYI9DN8oNcbXnGjrknZ6RNPfLJemjvUbNf6bVyQSZVcz41UchMv+NpW3x5MbHiPXM+N5ueP/rj1IUYYyYj+jktozt/jVMfhNEIYEUxsfC9Osq9eqDav5cC2LDPavX0UANtmhECfJ9x/QyC+7i4AgF1Kn3myXp4/jBG0yx9bc0dL7lhMnXrME+7fKXgTW/Nzr/4QAHCRzhvCZr4CEHzJS7rF8KAiFSbnRp7/O6mSOoYTtCvYvuFeknbFDF2uLGU3BQDngdsMgjRNQ60xfLAv3n/15zzhvp0YTvGaUku1D17/BYQwshkWB3CC9pzrjkMLCMNpinHFWtdGsZ6ENzJ4sz+2+h21wsxe01Br/rY1t+NOlaBznkus5v6d12mZZqRzW83JT7CsWnFmX2b64HcruYkXIMQIX9vq2x0P8eLR/NzRHyVX3fhFguIDZ2v/aaFZky1gOMVHOi/5UxsAu7Bw/Cfpqf3fMrRGgXNFVvlja+4AAADMebi+6X2nNIrT5czoM+HObR8OxNa+S2mUZrKzh79nmWodAITZtqWL/o4dDOfvpjhvJ4ZRPEQYGWxff28zhPUPuvvcAoaTrDc6+FbbMlRDV8qaXFmwbFPX1VpabRSneOf/cLXi3EFFKkxGOrd9CCNoES5DSt6CoStVuZY9wwiBvtbrw51bP+hrW/U2YFsm54qu6R66/duYo6IJAuBMZJvBk0sneCzTMHSlDCHCXYHOyyDECKVRnEQIpwPxdXeazQm+YzVcPFrJTbyIE4w7EF97J8QI2tnBQksmeGzbslz+zmFNri7QnLejmDr56MLYrn926t/d7a5g95UI4XSjmjlZzow9Z9umQbGedt4dW+9YMHHaHey5Kjtz6CEAwNRy31cAAKBYdwIAAGql2f2eUP/OaPeOj/Ke9k0YTrBOf4hcrhVn92emDnxbqqSOk7QQja+49q9pztcJAABN9dwbTjgswzIQgf0ye2TxBcuwNNt0CErLsEyEY78yFaMRu6LzdtrHhOSsNF8ayb9SOJk50MhKc7b125sUEPq6XauUilb0dYqUoVkqQeMsADbIj1dOnsv1XyxYlqkH4mvHLVOXvZHBmxDCqbkzz/8tsC2rvf+az7GuyGpdlfKZmUPfrRVn9su17GlNqWVxghZKmTNP+dpW3+byde4AAPzsYp+7bdum3RyjKdbTTjKuNrmWPa3K5Xne275Z8CcvwXHaxYrhQRvYdnpi77+1XgshwpfbpHQ21Evzh3S1lsFxSiwsnPipVEkdsyxDxwla4j3xjf7Y2ndSrLu9VpzZN3v6l39j6kolEB+6O9pz6ced5qdaGiOon5j6MuqSLyAsU1cjXdtGbdu2Au1DdxcWTvx0YeylL2I4xScGr/87hg/0aUotlRrf/S+14uwBuZ4b0VWpQFBcrZwdf0HwJbYK3vZNAIBdF/O8IUQY/joFpabUUoauVALxdXfiBONh+EAv546uawaCA4heFyK/RFiWoTYt9rqpyeXMzMHvpqf2f7Nemj+ia1IBw0lO9CUv4dyxDbXC9D7e276JpPggSYtRDKPOn+AhGI9jmXcyzlgxPCiVF16p5CderOan9mhKdbFJxn6mpXaGAKKl2L3Peu2GJrVa4mxgWxjBuIPJTe+LdG59gGTccUNvlGjO2+nyd15K0Hzo9ZtxCBHMUtQTGE6yrU0SAABQpOIkRjCecMeW+wlaCDN8sE/wxje1mhJxnBJbxQNng6bUUvXy/BGa9SRqpdmDpfSZp3StUUIIrzFicIUvuuptgrd9syIVp6ZPPP4ptVGa4dxt6xID1/+tJ9R3fbTn0o+TjOtLmlz5g5M8SqM0o8rVBYb3dcn13Ghqcu+/G7pcollPIty57UO+6OAtuirlFsde+lK9svAKBBC5gz3XeML9N4j+jksBaKmcz43geT0gQrhtmVo1P7WbEUIDnlDvtbynbUgqLx7Nzx/9sTcyeIszHkAMw0luOSriFnS1lrYsU8UA4HS1nklNvPy1enHuIMJJTvR1bPfH1r6T5jxJy8magt7oylsZIdBL0k5FOwAAEBQfWMqm6W/D0KR8MTX8iOBLbKM5XyfFehLOtR37sVRZONqoZk8B27IIWgjx7rYhwZvchpOMp1ac3a9KxSlPuP8GivV2eML9O8O1bQ/gBPNlQ5eXlVFGUEJI8MY3sWJwBcIoLjt7+CHbMnVXoOeqUurU48X06cdMQ6lx7sgainHHac7fw4rhlboq5UuZM08yfKDXFei60okf+d0FR4ikRbFnzW1yevYQRrNerVqccq9Yf48h1Raz+579v43Fqb2WcXEyfv9oCR4AAGhU08MA2Fak65IHTV0pp6cPfCs3c/j7jBgaCHdufcAT6t/peBFHnqlkR39pmbosV9On3MGea1KT+74OABi9GOdpA9u2LUOBEEJGCPQNbH3fY7paz2ZnD3+vXl54BScYj69t9e2Rzm2s0ihMIYx0Esxhqw7+/GFocqmSn9ztjQy+1dTl8uypZ/+qnBl5xrYtC2E4yXviGz3h/hsAAKhamNwNbNv0x9bc4Y2suKlemjuEMOJbS65evoBoVDMnLctQg+0b3u2LrLwlO3fkB+nJ/d+gWHd7MLHh3d7wwM0Qw6lKduy5UvrMky3PpyvQeXlz8XLkYpwnBAC1qqMp1h0vZ8dHZ04+9RdKozgteOKbAu3r7w22r7/HYedJdskhapZlNHfDLNsy9WjXJR/xRQdvVhvluWLp9CGpPP+KIhWnvJGBmzgnoAxgOC20iJdzBcIIhmTc7QAAQHPezs41b/0a525bC5vp3I1q5pSmVFOsFVIBwghg29b5Vz03GxUsU18cf/mrhcXhnwne9s2x3ss/4/J3X1HJT7ykSsWpaM9ln2haWkBTyrqUkGUOxykBYQRDC4He+TPP/e3C2K4vYTjJBeJr3xXu3PYAK0ZWAgAARjCus9m+LEOXKvnJl0LJTe83Ta0xP/Lc3+YXTvzEtkwTIgznXNE13nD/WyBERK00e9Ay9YYvuvJtrkD3leGOLR/AcPIfTOPNm2R+n7Cc5iwTAAAaldTx3NwrP5AqqeONavokhAjzx9be4Y+tfaehNQrzoy/+v3J65GmSEaO+6MpbWYJ2IQwnly/jta0WCdgKkyxlRp6V6/lxyzJUToys9kYGbnKa0ZwJBoYTDHIqSpdMxtu2pRu6XHECyjGiVpo9UM6MPNOoZk7hJOdzB7quYITQCl1rFGvFmX0YTgmiL7kdNoMUCYoPwGVmWEnV9Am5lj1NsZ4E64qsjnRd8qc060kwQqBXKi8ek6qp4wTNhzCCdiGMYHlPfEPTmgAhhJBzRdf621bfhjDiq5apL2tygGEEHWhfv7JanN4TSm7+ALBtS1MqC4Ym5SESIrXC9J7s7JH/quQnX+Jd0bXxFVd/3h3svZakhVDrezj5V7/7R0mwBO9fE9ke3hzDgQWs6kzpNERw2racn71lmDoAYE/z99nPl0AkQeFMZLVvS/KSyE5DMRtcgI7W0o1ZAMCnlnPtfwgo9cKEptRSNOfrVKTChDfc/5ZA+9BdulLLpCb3/VspM/IswnCad8c3BOLr7gy2r88DAB4ppc885Y2sfKs/tvadOEH/0tDfWAL++4BDwjuZfrZtmXI9P1ovzR/RVSmrSsUpVS7PE5QQdAW6LicZd+z1WVRODe6FmYu0INeyI0q9MEFz/h7QHG8ZIdDTPnD9hz3h/htK6TNPTZ94/FONWvY0QjiNE7RYyY097w71Xif6kluTq278IsMH+xgh8J9yLXdB5nIIYbgr2HM1BBBWcuMvmmeZ8zSqmZOG1igSFB9UGsWpQHzdnf7Ymjvken48NbHna5Xc+As4wXh4T2yD4E1s8betnrFM/alS+vQT7mD3Vf7YmjswnDx8MZ8FECIcJzkfAE72naHLZZxkPKpcmpXKi8eq+cndke5LP0qx3iSEAHPUvL8mhJaC1qaUo1ow9cz0oYcAAIBkxIgvOniLO9R3na7Wc4tju74EEUb0bnzXDwAAgKSFSFPBc17AcIrHSUd1pMrlufkzzvPZ0BplkhbDoeTG9wbiQ3cbWqNo6nIFJ1nPhWrxM02t0Qoqhggj/G2rbmvru/KzhtbI52aP/Fe9PH+EEUIrmtEIv3FPIfzs6mEAnPlMi+BxWqd0BScYr1zLnKwWZ/bSrLeD5rwdrdgAjKBFbInvq6E1ivXS3CFveODGlmiPIFlPuHPrPcH29fdqSi2dGn/5X8q5seed9i9abFRSJ8q5sRcindseiHRu+zDFehIuf+dXa8WZ/RcikwdCBDlXeDUjhAcrubHnNKW2pEIPy9RkQ2+UAPAB01DrtmWowfahe8IdW++nWE+imp/c1aimT/DutnW+2OrbECJoQ2sUm3lIlHPsc7do/cY1IJwSvO1b/LG1d3gjAzdV85O7UpP7/t3Ulao71HddM1YCNMshPE1yblkKRbVRnmsFhetKLa1IxclA+9Bd7mDvtTjJehUpP1FMn35CruVGdLWW4T3tm3h325BczZyieX83hpMcQXLBpcQe/DYsyzQYIfB0sH39vZw7tt62bauYOvnowuhL/8SIwQHeHd+AEMJJxhXDCMZVSp96rF5eeNW2TI33tG9yB3uuAcC5d6PdOz6GYQRLMq4va3IltZTjYzjJBNqHbg53bL2/mp/aVcoe+7HoS15CUEJIqiy86thBgwOaUl2oFqZfZoXwKtGX3F4tTL2cmtjzr9XC1O7+zff8LwAQNKrp4TeKnEA4weAsFyi8svtf2Ghym9Cx4gY5NXsgd/jFf9KrpYu6cftHTfBIldQJU1drBC2Ec7NHvl/NT+5u6738U6wYWS1VFo9Nn3j8U03/ME2y7napvHCkkDr5SFvPZZ/0t626DUL0D+dqlYAQIYRwyrJ05ayLHEd+0axHxwiE2RQAtiV4E1so1pPU5OoCRlBCILbuXUqjODU/8sLft45yIZjj5ilYor/jqCZX5g1DqaqN4hRCGCn6kkOdq996L8mI0Up+cldxcfjnmlxdBBAitVGeja+49m9ifVf+BYZTAsW6v6/J1cXzzQVCGE6SlBA2Ta1uaI3Sm71/jVrmlKHJRVYMDaQWTvy0nB55Otyx5YOCt32LXMudmT31zOd1tZ6FGE4StBBW5cp8YeHEz0Rfxw5/fO27IEJHz9WmBSGCCOG0ZRnqWT8nEL1G8NiWqVmWrgQTG97jTDRYL+sKr24Fv+I4Jb5ZBd/r4cicDbVViZ2dPfz9YurU44pUmDANtYaRjMcbHrgJYQRdSp95whPqux5CiFGMJwEAOHAu1w2AI2tuLQAJig9ahialp/Z9s5wZfVaTK/MELYTDHVvvb+X0OMkn5zdBMk2tYZmGAiDEEMKpYPv6e2N9V/4FybjaDFUq4CTriXRd8qetcFoAAEAIZ5byLHL8zc6EyNTlMsm42toHrvu/BMl6CIoLMnygDyKnecyx2r35DoZtWzbniozI9fxY0/Y4BiHEBU98XceqG++mOV9XrTR3ID2579/VRmkWAGDL9fx4YuC6L4Q7t324aYH8htIozZxvHShCGE5QQsi2DM1pvzn7mKbU8+OaXF1khEBvMXXykfTk/m9iBCV4wive4iiZIMzPH/1RrTizz7Ztyx9b8w5PuG8nxXoSzZIUAjqy5XOySLR2TWuF6b2WZaieUP9OguaD2bkj/wUBQpGu7Q9iOMEijOQQRiyrUcKyDE1XpRwAABiaVCgsHP8JhBge7d7+IMl42iFEuNoozTSqmVOWqSuCN7oWI2iXaShVDKebjVLLy7AytEY50rXtCdHXsYMVgn0M5+tSpOJEYfHkI9XC5C6lXpgEEAKG9/eKvuQ2hvN16aqUa9QyJ1kxvJIguUC4c9uHpGp6GCL07FLHLAghdAd7L6NYd1zwJrZWcuPPN2rZM55g77WKVJhYHN/1ldYmQqRjy/2CN7GFc0fXaHI1VaosvCr6Oi5BCKffbBym/Vx09Yc2/0P+WOplUqS9mcMLz089MfKf4A0YIVKk3F23Dj7gWxHYqNXU8ujDJ75SHiscb/27aVgagABCDOHVBWmK4HChMi9NKlX1vCuKLwZkqTCuNsqzDO/vCbZveDfCCKaZw1T2hPpukGuZM6apNxQpP44wgqZZdxJChNcKM3sblcVjgi+xzde26jaSFp7QVSm/3DkIhAiSjNgWSm7+gG0ZSmpi778vaafTaWLUAACgkpt8aXr4iU8r9fy4aWp1kuJD7lDfdaHExvdBiBELo7/6p8Li8M9jvVd8GgBncXK+zYy/Dcsy9VjfFb9yB3uuZsXQIOeOrmsfuO4LojexRVWqCzjJeKI9l30cw0m+mV/BEhQXoFlfh23bNobTQqRr20c8ob7rkytveKqUPvOUIhUmDV0uLZcwgQhhFOOOx/quvDeU3HyfbVvm5LFf/CkA4Ik3e12jmjmpq/UsyYhRp5mP4i1Ta2A4xXsjAzc1apnTECLUqOVHEE7xBM2HAIConB19VpGKE55Q385KbvwFguJeMjS5sFzZfjNbpDPUsfkDmlxZyEwf+M7Zrh1CiLUy0FS5PD994rFPVvPTLwNg2y5/1+XR7h0fhRhOZ6YPfiec3PwBhxBiPMtRFDTnTAZOMl6MYDwkI0b8sTV39G++93YIEV5YOP6/jWrmFMIJJhBbdyfZtFORtBhu1jSfFyDCyJYNvpIdfS4/f+xHlmXonlDftT3r3/ExkhYj6an931Tl8mzn6pv/BSdZz4X6fNuWobYqo4Ft23I9Pzp1/NE/UxvFaYISw77oylsZwd+bddYsuyJdl3zEFei+CkIImzaRs9pjMIx4TcFTzU/tnjz+6MeUen4MJxm3v23NO4KJDe9pVNMnFSk/7gkP3IgwkkVLVDvbtmW5Ap37dLWeJVl3O837uwPxobsD7evusi1TUxrFKV/bqtsCifXvRoignUwlxkOxnnYAHFLLE17xFt4dW1/JT77ki678RaOaOqGrjYLTerf08Q5CCDGCcftja65v673i0xTjiqWn9n8TQvT5pXwfCBHW+jxBiOGh5Ob3t/Ve/imC4gKGrlSa6pWIVE0dLy6efAQiDPcEe6+jWHd7a8PSsSmef6ZlKLHxfZHObR8iGVcMAggFX3KbY323TAynuNfHceAU72+SSsuaX8lSftwwlBoJRMAIgb7E4M6/19VaKjN98D8q+YmXVLk8a2iNAoZTgq9t9W0QADA9/MRnCIoPtvVe/ikMkJxDCp7bXF6pFyby88f/lxGC/QgjuUjXJR/2hFfc0IqvKCwO/0xXahnT0OoEJYQD8aG7EIbTnlD/ztdv7OEELYY7t32I98Q3BtuHvl0rzh7QtUbBMp06dgCcJReGkSxOcQHR17mjb9PdbxW87ZtNQ5MwgnIlBq77gq5KedPQarw7tr6UHX22lD7zNMJINpjc8F7e1bYuv3D84fz88Z/oWj0n+jq2s2JkNQAASpXFY28UOWFbpmHbtsm1d1+lV0szeq08X5s6/eTFJncA+CMneHS1npHr2TMELYQp1pPoWf/OhyhGjBVTpx6VygtH6uWFVxne303QfJjm/F1yLXu6nBn7ZTC+/h4n5GxyF0LYgeUyzAhhuDvUe7Xo69iemT74XQDA5FleYrek0YYm5dJT+79VyY2/IFXSw7ZlKLwnvincseWDNrCtUvr047rq1E1DAFBz9/qCoBm+OcqIoRUk44q5Al1Xxnqv/CzEcLKUOvU4TjIeX9vq2zCM5AiKC5CsJ4ERTrJ/rP+qvxD9Hdvzc0d/xPD+PUqjOHkuCeAELQRCyc3vCCU33VcvzR+eGX7iM+BNbFSGJpca1fRJVgwNEBQf7Fr39m/QvL+nnBl9VqosHK2VZg/QnK+LoLgAwwf7Vak4WS1M75HruRFvZPDmcmbkGYThuyxzeZI5CCEU/Z2XuoM9V+fnj/0YQnjyzYgoDKd41Kz4lGu50Xpp/lC9OHtIrufHGCHQF+u78jOmodURRvIYQYtL9di2rE8QIhzhJF8rzh5ACKdYV3RNIL7uTlYMryznxp6fPvH4J6M9l34cODX2iGI9ieVc728DJ1kvhBhh25ZZzU/tnjr+6Mfkem4Ew2nR37b6tmBi/Xt0VcqqjdI0K4YGAHTqBs7nmJZpyJZlaAgjGIb397hDfddrSnWhuDj8c0UqTgm+5CU05+2Sa5lTFOtJYDjFIwynzkYsQYhQoH3IBSHCTUOTasXZ/VJ58ZhUXnjF0OWyP7bmHawYWYURlIgQThIk519K3oQiFaekyuJRd7D3Gopxx1kxNBjvv+ZzOMn6ypmRpxGGM97o4C0IEQxBcQGKccdxkvUgjOSj3ds/Knjim3Lzr/4PK4Z2yfX8+HIrzgEAgCA5byA+dLMzwa8uTh1/5KNgCf53y9QbrQeYoSsV3hvfHOu9/JOCN7FNrudGasXZA5wrulb0dV5q26ZmmbpCUHwQtapD4Wuy5XMheCBG0KIn3H99x5qb3+UJ9e8sLA7/rLBw4qcYTgq+ttVvb9XyYo7qall+dMvQJUUqTNi2beMk6431XfV/dLWeqZfnD+fmjv6wXpo7rEjFSZIRI4H40N2NSupYdubw9wLxdXeK/s4dBMUvm+ABAIBSeuTpUGLTfbwnNmSamrQ4vvsrxdSpx1gxOMC5Y0M050nSnL9bV6qLqck9/yrX8qMEzYfaV1z71wTJBSjW055c9ZZ/nBlGCGH4c0sZs0jaFXUFu69w+Tovzcwc/C7CSC4QW/tOtVGazc2/+iNg2zbNepNqozQj1/NjgjexJTf36g8zUwe+TfO+Lt4d36Ap9ayuSW9Y3Y0whNcXqpOzv5z4Ee1lQgBC2LJo/S7gDMH7V4a2AQQgwVMuJsC1AQBeI3gWDmdfWnw197JTmPtbY+pDS3qr/6AwtEY5MbjzsMvfcSlBcX5NqabmR174+3J2/AVVLs9ahiYhhJGcu22dk/k1/BXbtgyK83TYtmWQFB/sWH3Ll32RlW/NLxz7MUkLS96RbmYMbIr3X/2X7mD31aah1qRK6jiE6KmzLXjs16ksMZzkLUOtQwiRL7ry1mD7+ntZMbyqkp/81cypZz5XK87ss0xdbdWkQ4jwc63ufTNUchO/0jW5xLtj63PYq/9dL80frhdn9xu6XDZ0pWzqStWpXDZUguT8oeTG97GO/XmilDnzJCuGV4q+jh2sGF4Z7tz6QKOSHq4WZ/Z5wv0vNKrpE04RzpsN5RARJOsLJjZuCDrFAVshdHbreU9sA8KI595MUaer9Xz30G2HOXd0LUHxAUUqTM6PvPD31fzUblWuzFum3nAUe7ENaqM0UytM77Ft26IYd8wyDZViPe1da9/+jUpu7Pn8/PH/JUjuRV2TlkR0IoThor9ze3zF1Z8XfcltTeXFYQDA3jd7nUPYOASPZRmK2qjMYwQlhhKb3heIr3tXNT/18uL4ri/jJOMJxtfd7VibaaGZD7Mk4sx2wl5NguIDgdjaO5wm1JW32rZtSuX5V0R/52WcO7ZebRSncZJx27ZtQgAIjKDdOLE8tdDvgmWoddPQ6hhOCZpcXbAs0/BFVt4SX3HNX8n1/Nj0ySf/HNi2GUxseC9BORtZzQ2L87Zo2bZtr9xxv+L83TLq5fkjnBhZFe7Y+oDgS26t5id3Tx1/7OO6JhW8kcGbWTG8qvXapYbrIpxkW1XLhi6XDa2eY4RgX7R7x58Jnvim7OyR72dmDn03lNjw3mbzKokTjBcihC1l80AqL74q13OjnLttHcm44qpcns9MHfiWcyy5bBpKxdTVqmlqMsII2hPqv4ERgn2G1iiWsqPP2qah+qKr3hZsH7onEFtzh1wvTNRLs/sr+cndNOfbbVuGehYbEMQwkvNGVq7wta18uze84i2Y034MBG/7Fpxk3ACAs94nTfWZ33lvcQphOFPJjT2vq42CKpfnGtX0cKOaPkFz/h5/26q3eyMDN2tKPZ2e2v9N3t22LpTcdB+AELsQTgqC4v1yLTtSL80d0uTKgiwVJtRGaQbDKT4QX3cX725b/9r/JVk/gstXDZmaXFak4gQrBPsAALCUOfPU3JnnvmCoUs6yTAMhDOfcsfWhxMb3qkp5Pj21/5ue8IobQ8lN971WXELxwXPNW7Nty6I578Pe6ODNoi95CU5yAZ5gvZpSTRm6XOZcbUMaVV1U6rmxennusNoozQi+jm0uf9fllqnVVbmyYBlanWI9SYLi/KK/81LB275FkYqT9dLcIbVRnjV0uWTbtoWTjJfmvJ2CJ76RYr2JJiEGcZL1Uow7BiDEICqMFxaHf5GdOfSQrtTSnnD/zlDHlj/R5MrC9PCTn5XK869YlqnTnK8z1nvFZynW0958ph5rbYb8Nixdk5TM/Kuky9dhSLU0AMDGWT50IVqxlos/aoLHNDSpkpt8yRXovjIQX/cuQ5NL5ezYc41a5pSu1nOaXJ7XlGoKw0nOMrSGNZxB8gAAIABJREFUZRmKaaj1Ri1zyhPq39m17rZvlXPjzwu+5P/I1fRJh11+40U8RBhGkP8fee8ZLkd1pouuVTl2d3XOu3eO2tJWlpAQiKRAMtEGjHOacTo4Z4/tY+MJzmGwB+Mw4LGxsQ0GEYQEKGeUtqSdY+ecKledH9WNZS5KwL33nDnfDz360b17rUpr1fu9gXH5WlfeEexY+zGKdbYCq/nz1fOBRM0IZQAsc+jM7Mu/lev5SYp1dXiii+9xeDrWa6pUnDr+xCcLydNPEU3vEwu+vvSY4HOUpoilcPeVL/DO6Aqa83TrqlRKTu75qWZFn1sbqQYtjWSEmLdl6b2GJlfKxckdilSad1ka0VViNTtaLyWP+2LLd5Zzkzt0VSqf94UIIghB8X5OiCzvWnLnJk4IL8MI1kVQtmB65uCvwHmo/aapq6XM+HZXcMFb3OHB2zRVKpezEy/USvGXVbmaVqRKUpHKcRQj+Zx+/DFDV0UEI9hqce6wN7Lk7W2LbvlJKTO+3e7peKRWmn9ZV+Xy+TbClh8dLXiiSzaHu674NM17ezCCdU+fePLTAIBzUuoxgnY2O0a5+PHH5s9s+zaKUzZ3eOEdnsiSt1cLM/tK6dHng52X34dipO1ivWNM09BMXZMRBCMp1hmjOU+Xr3Xl+wV/z0a5np8upce3IwhOeWPL3yv4e6+HCEoA0zRIxpJXvd6CwFrQDF2TS5mx5+vl5AnGHhgMd17xKZr39mTmXv6vamHuYOvgDd9pfAOBrxP1b5aha7JldAhoRSrHp0489RkIIcI5oyvc4cHbdU2pTh1/8lOmaeqxgU33oxjJAYigDT+XcyZ4QctU0gUhhKpcTc+PvPDP1cLsQZr39oS6rvgkzXt750de+FdnoO96wd+zEcVpx8WY7OqaXPXFlm8XfN3XMfbAArGSPpOePvCQpkoVXZNLuipVDEMVgWnqBGUPe6KL7zZ0VaoW518Wy6mTzuDAza0Lbvg3sZodrZeTJwJtq/eUcxMvqXItc14TbggRnODcnBBe2rHk9k28M7oCJzmvoWtSeubAQ+AiAB7LvNjywSFoW9Dp772ec0aWGbomIShOYwTrrhRm9qpSNc06AgttzthqFCM5VRELBMV531hXC0Le2bKKtfkXYAQjmIau2Vytl5OMENMUsYCgOGUaugJRjMRwyn6xbLdmGYameiJDY4YmV1CcstWzky/NnH7ua7Xi/BFdU+ooRtA2d/sVgr97Y72UOForxV/2tSx7N++MLocAQBQnba8nxUKRSnOZ2cO/Yez+fhSj+GDH2o+7I4veRjHO1nolNVxMjTwr14uzpmmoBGUL0JynW/D3bWZs3r5G5woyvL+vbdFbfpyZOfyfjM33sCKW44ahSQ3wz4QQohDFSYJkvQ5v97WdS+64hXNGl1fyM/sFf9/1JOOISrXcBIqRHIZRtnJuareuqzVPZNFdNOfpSkzs+lEhdeYZYALD17rivShO2SqFmX2aUv+7zTJG4yzj56K0mw16Fvk7KCftcy/0r63Nl8chhmCknXJa6xPEEAwhCBspUE7GRzlpf9sNPW2kQHtqyco0iqOkoRp/tzbqVlrW//aJWeer3PyxP7iCAzcxNl+/porFYnp0a71ssTUI2hb0tSx7t93TuT45uecBAKz7zR0avM3u6VgPLDsG0vJ5aFtbKczs98WW/76UGd9ueeJZ0Bew0C8TWs1niuY8nS39GzcK/t5NDO/tBRAiGMG6nYH+m8pWHOz5JV+mFV8NAACsPbiwdeHNPzBNXaVZd2e9kjqZGN/5A11TarwzstzuaVsn+Lv3OiwlLIDQ+rE3+ziKlcyZfOLEn52B/psgRLDpk1u+8OrPNBmKdMDbU6+kT5VzU7s0VSrhJOdFUZzRlHre0NU6ihEs74qt5l2x1d7I4rulen7qPAfDMHRV1DW1rin1vKbUcrn4iT+lpg885I0uebvd3X4FhtOOxjPuvOtAZvbIb53+3usJ2h5S5VqmlBnbJlZzExa7xtnmb131QdYeWBgf3/kDAABEMZLztix5B++MrACmaaAYybmCg7faPR3ry/npPZ7I4t9VcpM7dV2pA/AKCNq8FhAExWnG5uuLLbh+k+Dr2UixzjYAEZSgbAFnsP9GBEH3n8+U/mwPHggRjHdFV1h/x92RmNj90+zcy7/TVLFgp9rWQtSSrZ4FtF8UwNP04IEQQb0ty94JIEQMXRHr5fRwIXVmSzk3tUsRywm7p+0KTogsk2q5SYp1tSEoRjbSbi7Zf+Ts0hQxr8rVFIJgpGp5rsSCnWvvK2XHX5RqubGmf6BUzZyRxeIMxbo6EBSj3iwZomFY+2gUI/lA+5qPesIL7wQQwtTUgYc0Vcy7wwvvZO3BRYzN33/2WoOgOHMxL9cIijNYg8GDoDjlDg+9zRNZ9FZdkyuTJ/766VJmfDswTR05K3DDYikhKADgggCPpkoVX2zZw7yzZSXNeTrjYy9979UNBwgRBMVJ3u5uv8IwNCkxtvOHilxJoBjB2Vyxy3RdrmqqWAQAmDTv6WLt/gFXaPAOsZo+3UgZe615mqahybqm1nVVLKlKLVsvp06W0mPPc0Jkmbdl6TsRlGBQlODARQA8KEbyzb22rsm1xMTuH5uGoRq6UocIRtK8pyvYcfl9Tn/v9SQjRIvpM8/mk6eeJGlHlHe2rGoO6c0w387MHvltYnznD1W5mtZ1tYYTjMsTGbrbE11yD0HZgpoqFlCcdiAISuAk64YIdsnqDdM01Epucpfg695oGoZaLydPKGI5ASECcZLz+NtWvdUZ6L8pnxh+XK4XZsLd6z/PO6PLLbaZoQGI4hjJunGS9yIoloIAohDFCATBSAAR1NDkmqZKr+lN0yxZLM0lJnb/mOG9vRhBC4ZpGLOnt369kp/ZqzdSkBEUI+2e9iv9ras+yDtbVpmmoaWm9v9CkcpxnOR9gq+LwknWDUzTsM6Tt5fmvb3wVaBgY0mTDV0VEevRRpimoTU8dbZkZg7/plaMHyVpezjat+HrvCu6Mjt79L8yc0f+S5HKcQhRjHdGl7cuuP4zdq+1NlfzM3trpfjRc2EBpqaKtdmxbZQ39D9ob2iR5ckz+BYxObMPJaj5JsPIYrpDFDRS2BAcZzCG8yAEZdclMS+mZg9f6vl9df23BngMXZU4IbzFHV54p8VkGNs2dfyJTypyNWUaukrS9rA7vOhOiCB4fGzn9wGA0O5uv4JzhJdCBMEozt3uZ11trmD/zYXk6ady8ZN/Zu2BOdM01LMjixEUIzCccnijS/qc/t7Ndk/HehQjOAgR1BnovyE1ue8BcIFIbrPhqk/SjpZQ59r/oUjVlN3TfqWhq2IxPbq1Voq/bOiaxDtbVmmq1KBbQwRF39xNVS5+4k/u0ODtvBBZNnXir5/SVLn8Suy5aRgIilMkbQ+RrDNWzc/sLyRPPw0hgnBCeJkiVZKqUstCiOLu8ODtrtCCW+V6ftI0TQMnOe9rmTCapqFrSj2nyNW0ropFWSzOirXsuODr3YgTtIsgOd9rjfOV7xuGTvOe56vFuUOcEFleLczunzz+xCflenHWNHQFpzivOzR4O05w3vjYS981dE3kHOGldnf7FRBBMJIRot6WJe9w+ns3FzOjz+fiJ/7E2oPjpqkrpmkYwDR10zRNBEFxFKdsnsiiLsHfu8nh67oOwyg7ABARfD0bUpN7HwAAvHyucWIE42rK6QxDVxodxQ/QvLc3Nb3vwfz8icds7vZ1pqGrECLIRXdTmulUEMEEf89mzhFexjpCiyCC4LoqV2je21Mrzh/RlFpWV6WS2dhUkfQbA3hUuZIydFUEEEJFLCdI1tka7b3unxAUo1PTBx4Cpmn4Wpa+C2t0VSCEyBvVKZuGpjQfjoahyRTrbAu0rvqgYepKMT2ytVqcP0QxQswTHroLp/hA83cv1FmGyN86lqZpaABCzBkcuDnQtuofFKmSnDrx5KfrpeRJTggvBsDq9GAY7QAAXNC8s5A89ZQnsvgeXogsT08f+GU+Mfw4MA3DNE296W9FkLYAQdlD9XLieDk78ZJpmibnCC3SlHpeqmbHTABMZ6D/Rldw4GZZLM3rqlwmaFvwtQAzE5iGptTzqlxNa6pYVOVaJjt39Hd2T8d6mvN0E43jcqFCzwJODF2TMnMv/zY9c/BXslicleulWRTDGd4VuyzQvvofcZLzFVMjz1QKM/uC7Ws+SlCcF0AIX48R3yvz0DWpmB59Tqxkzoi17Lhcy0+gGMm7I4ve6vB2XNW8l1Cctr+eZ6BlHluaZXCqX6zlxuulxDFdU+o05+4Id6+/l+a9PfnE8F8JyhYMdlx+HwCmqSn1Ak7ZAgiCUzTv7UEQLA4bmy2L0YagYjUzqiniaxqAGrqm0LznKVdwwa28K7aa5j3dBG0PS/X8JILiFOeMLJdrhalacf5IrTh/hLEHBiEEUJVrGUUqJ4Bp6BTn6aQYoSXUefl9nsiit5Zz03vq5eRJVa6mTUNXMIIWaN7Xa7PYbK2IdWyg3d26BiIorojlZK04fyg9c/gRqZYds7liq92RobvkWn5y+uSWzzekhKgnMvQ2V3DgFggArJUSxzRV+rs5Rda33d6yofMeYAADIVDSUA2Fi9g73AsDl1EC5Y2sb7sdIVAKwVCc4AlBrSpFgECUtFMuuShmTMPQ8yfTe8NXtN5iKPr/94lR/y9XvZIeTk7s+feW/o3fJGmhJdix9uN2T/sjzkCv3Rdb8R6bq/XyWjlxDCMYgXNGlvNCdKU3uvTeejlxvCnraRpKOrxd1/DOllWKWJprnGfVMHXVNHTFNE0dQVCCoO0hkraHEQSjZak8l50/9ijFujo4IbLU7mm7Aid5P7gQwGMhR1aiC4qRDm/H1Yahy5Xc1G4AAHCFBm+lWFcHipG8aRpqcmLPvwOI4E0KjJXOeOnxuecrTRVLzkD/XwVf9wZnoO9GBMV2NJOxGmk9rawQdmEYyQPL04XkHJGlnBBeahiqVEyNPDNzauvXDE2uuiOL7vTFVrzPOl62oOUrU5rXVLGAYZSdYp2tmiqV5HphWqzlxqqFmQOV3PQuqZabbEZbszb/gqY8wbzIBNNqYe5gcmr/f4Q6132K4X19/tbV/2B3t/3FFRzw+ttWfYgTIssqualdBGXzc87ocoen4ypXcMEt1cLcgXo5eVJTpSLNe7od3s5rnP7ezXZ32zq5XpxpyPdU07oW1Ma1QJKMECEoWxgiKGYx9Y7+nrX5B1hHcKHD03n1PP7ivwIAsucccCNFCwAASNoRifVv/Fa9nB621sH4MZIWIoK/d6Pg79nUZDNZAA9x0aB3Q6KlA2AhVOXM2Lbs3LHfF9Mjz6lyLUMxQszftupDNOdqT03t+7muKdWOodt+RtC2IMkI0TeytgAAgK6roqHJNdPQZF2VyqwQXqypYkFTpSLnCC+r5Gf2lnOTO+yejvWvmElDBEPRN4elZlpgiElznk6Kc3egKE4buip5W5a+wzQ0SRZLczjJeVW5mtFUqcjYfH0QWgk7FyU5RwmmCVzY3K1rOSG8tJA683R89KXvaKpY5IXIUtYRWuz092xqXs/NNexi51DKjG8XK+nTgr9nc2b2yCPgrGAIgrL5OSHSgqA43QSoSEaIusML70Awgq3kpndPHX/y02I1O8K7WlaHO6/4FEHbghhO2Th7eLEiV5KqXEkDgCA05+oAwPKPker5yVoxfqSSm9pVKydO6KpcNgxVwknOw1mG5CYAptF8jl2oMIJxnr2PMjS1ZpqGTjJCizu86E5vy5J3UIyrFUCImoYmMzb/AO+MrWqkd1r7WSvO+g0/8zSlnpPq+UkIEdTmiq0JtF/2YZJ2RErp0W31SvoUhlO2QMfaj1GMEMMI1v169tOGoWsOb8ceQ1dqEMVImvP2ELQtYPe09/lbV76fc0ZXFJKnniIZocUTWXyPKldSc2e2fcvQNTnad81XcZL3Np8JtVL8KIKRHM25OxsqCXchNfIMTjBfVF/VEDq7TEPXcIJ9Jus+/kdvy5J7IUQJmvN0VQuzB2je021zt661AGVXG4oRPAAQaEo9zztbVgHTNGje0wUhgtdK8WOqVEna3O3raqX4UQCASTHOVoxk3BAiiCrXcrVy4mglN72nXkmedHi7riEoe0gsJ0/kk6f+Wi3MHoIQxZyB3uv9bav/QVel4szwM1+U66V5h6dzva7JFYpzd9o97etxkvMgCEbomlwtpE4/pYjlczdJEQQFEKIYw/kIf2SZUspPojTrDlx58/fkQnZUF2tZACwkHyEIHqVYF8byfoigGM7ZgroilZVCZgQA8NZLPb+vrv/WAA8AlkFocnLvv7f0bfgGw3t7SUaIqko9Z/PELgt2Xn4fxThb0zOHfk0yQguEEHEG+m4oZce314rzRzRVKjm8Hes94aG7fLEV73OFBm9TxNK8tbF6xYTURBCMwgjGhZOcR1PFQj4x/LgsFmb9ras+QNK2cMNt/T/PPUrTbC52KEYwvtiK9xq6JtfLiWOaUs/b3O3rvC1L34HhtCCL5fnpk1s+DyCAECAI+iZ3zRSxNF9Mjz3viQ7dTbGu9kp+Zl+jp0PyrpaFdm+HAAGEFOtqpzhXu8D1bsJJzpeLH/tDYmL3j3VNqXoiQ3exdv8CFCN5mvf1qnI1XS9Zc2lQOkNiJX26Vk4cF8upYbGSOSPV85OyWJw1dFV0eLqutrvbrwCANk0TXNgvpJYbj4/t+F7r4I3foxhnK826OxSpnGDtgcFQ57pPcI7wkvTsod+QrDOGqbLTFRy4qVacP5ya3PszVa6leVfsMl/L0nd5IovvcQb6b5TF4qxpsUX0RkfTRBCMxAhawEnOp2tKtZge3SqW08O+1hXvx0nW0+i8nhPgwQlGaMpXHL6ua1yhBbeoYjkxc/LpL1YKswdQFGcY3tPTBCPOWmzPC/D8TaIFIcW6O0haiIjV9Jnc/PE/ljLjL9Qr6VN2T/t6X2zZOy2dcy0j+Hs2ExTnRTGCeb3mjbomVxS5ksRJzqsqtaw7OHgripO2Sm56t8PTsV6qF6ZK2YkXCNoeplhnK4QohrxBtlnzvmukt72T4b19CEowpfTo8wzv63V4u66mWGcb1vA6sgpBL8S2sBg8lqkkhlOOUOfl91GsuzMXP/FYamrfz1W5liUZR4SkHZHG5/EGBXjuQmNWlXqumDrzdLh7/ecY3tdXFEe3AmBRgzkh3OvwdoVMQ5Mozt1JMq5Wu8d1DcnYI4XUmS3TJ5/6nCJVU+7Q4G2szT+AYKSNYl3tmlLP18uJY4pUSbI2/wKSdbVJDZaPFbmcPiPVchNyvTij60qNd7as5BzhpQAAcDH3EwAAYBhla6SFAU2uZhoJTgDFKJvg79nojS651+ZuXQshgpWy4y+gGMEF29d8lLUHBs86YxfzU69VZrU4d2js8KPvs7w0CFrw9Wz0xZa9B8UovpA8/RTJOttsrtjqBoPnothuZ5dYzYyI1cwIzXt7WZt/gGJdHe7QYFv70K0folhXeyF5+ilXoO9GBCO51PSBh6RabjzcecWnccoWwHDK3tK34Rv1cPIEgmIUTtkCBMn7IIJgqcn9D6IY8f1z3VdSNTeWmtr3c5r39uIk61LE0tz4kT9+UJUqSU0VixCiuMPbsT7Uue4TNnfbOgAhUkiefkoRi3MEZQ82NfkQQQmScbZ6GIslenbnqmm4bq0ppglM0zAMXa1kxl9MTe3/j1JmbBtO8f5Q5xWfYu2BBemZg7/Kx0/+RdPkMoaRdk908T2B9jUfxQjWLYvFmWLqzDOvlqFABCKF09lDEIGILmsSRBGU9rJhnMY4MVObhwiCknbKldgzu8W9wHdZcTx/VClLee+S0PrcseRuACEk7KSrPF08I2Zr/7+nqbzZZeiqTFD873lXy2p3aPA2X8vydzv9vZutFx6C1VSxQFD2EC9Elju8XdcCAGB8fOcPy5nxF8RabhxBMcodHLzV7mlfh2IWY4xinW0U62q3/EOs822BKRbbpFqYO5RPDj9RyU3tqpUSRwV/7/VdS9/2a+vlJ7IMADB6vjGbf2ODAF2Tq+Xs5I5aKf5ywwdMEXzdG1l7cBEAplFInd6Six//Y6D9so+ChjeJ9SJ86fG5FypFKs3rmlJzBvpvLGcnXiRp+z6SdbZGeq66yuHpvEqRyolaKX4UxSkbYw8u5J3RlYauisnRfT8vpUee450tqwR/7yYrRdIEqlLPlzPjLxTSI8+KlcwZihFi3tiydylSOZGY2POTWil+VJUrKQTFaVWqJJuAFe+MrnAG+m9EUIyybipNAhfBItE1uUYyjgd5IbLc4eu6Ntix5qPuyKI7UYzgEQQjVaWepVhXG++MrnQG+m8yDFWeG9l2fyk78aJcK0xhOGX3RJfcY3O1rkVQgkFQgqY5dyfNe7ohRPFXXwu6plQruak9+eSpv1byM3vFSvq0JzJ0d/vQrT8laHuIc4SGAADPnWu8CIpR6CvsD4xEUN4riyNP25wtq73RxW/nHOGlFOdqt1LXdBmiGIViBHcprMazAR5FLM1PHH38Y2IlPYKgGGFzxS7zt63+R02p52aGn/1KQ05/M2zYEZCMIwoBQMBFME3OOUcExSGCEYahK4YmV+qV9Kn5My/8s2GooiJVEgiKM/7WlR8Q/L2bYLNBBCGCvEkN1WZMOoJilGnRDHTD0OV6KXG8WpjdzwrhxapcTc2NvPDPDO/pobmrPg8QlIAIckGZGIQQukKDHEQsGTOG0w7VMHRVqiQ9kaG7Gd7XxwrhJQTJeS0mlakDCDEcZ5zgEnyGdE2pyvXCtMPXfZ0vtuzdJG3/OUawbps7dln70C3XYhhlL+UmdwBgGhTrand42q/ECEbIzh/7w/zoi/9Gc66OYMfa/8E7I8tRnHI02MuH8olTT9ZK80cgRHFPZNFbEQTBk5N7HyjnpnZJtfwUiuKUqtSyTaCXZBxhd2jhHQTF+U3T0E1D10xDvyhpOIZRtr87mhCidnfb2nD3+s9Z8uRyPDm552cAAMMdXvRWnOS8YiV9upSZeMHmbr28kXIH3gxQ2/ISwylvy9J3BdvXfIRiLWYvxXk6ad7XCxEEa4KNOMG4EOQ8LO7zlFjNjlbyM/vtno4r3eGFt9O8t5vmPd0k7YhoSj1Pc+7OWilxdObUs1+pl+JHaZuvv6Vv4zeaxusoRrCe6OK7PWDx3c2/2Zy/J7zwrY2GwHnedwFQlVqe4X3fYWy+ft7ZssrftvKDgr97I07yPgTFaU2tF6rFucNiJXNGqmZHZbE0hzXk+RbIcmZLKTP+gmW8bJqyWJwpZyZeNAxNpjl3B0E7ovnEycdLmbFtilRJQQRFS+mxbYahy7oqlgCECM15uoPtaz5i93ZeXcqMPZ+Ln/gLaw8sCHdf9QXWFhhU5Eqqkp/ek5jY/SObK3YZaw8uqhbnD2fnjz92XpUHgmBMqPUyiKC4lE2erCem96IULehiLcu1dF+jSfUCBAAgBMUDw9B1Va7I+fQprVZJsqHWNWJ67jBuswy132j9twd4DEPXMIL5LSdElnkiQ3d1LLnzl4pUmqcYIYbitMPQ5CrNujp4Z2QFhBienNjzE6menzINXWUdoSEE6d1sAmDqqljU5FoWQgSleFcviv0tUlBTxIJYTZ9OTe9/sJyZeFFVahldkyuMLdBvSRuiKxAE/d15vXwa3SDTMDRFrqRUqZKUxeKspogFjKAFDGecUi03kZzc8xNgGjoECGq9mVK2N/l4KVItO4oTrDvcfdXnk5N7HsAJ1mXzdFxJMUJMqlsdZkNXRZJxxijO1VErJY5VC/OHbe7WtZZUg7JZAFVqOBc/8VgpM7YNxSm7O2TFTE8ee/y+Ynr0OQTFKBQluHolPWzoqoziJOfwdF7N2P0DilSeJyjeZxgXTuYyDUNHUeIvvLNlpb91xfvbh275qVQvzJC0PYQTrEfX1RrNuTtZe3AhgmBUdu7oo1I1O2oYmkjzvv4GOGPqmlRW5VoGmADQnKcLxf8WM6mpUlmqZkezc0d/X0yNPKsqtawqVzMkK8S80SX38s7oSgTFyHP5YmC45VkDAAA2V+vaamHuYHr20G9Qgna09F33dZu7bS3FOlubrAn8IrspTYlW8//xsR3fs6iMpTmCtodDnes+wdh8A+npQ78pZydeCnauu88Je69HMZIjKN4PLuwPdc6ydpVWPLuhq2Ju7tijECJoPHX6aWgtVO/gHKFFAFgPvdcja/l/zNU0dIhglM0VWwMAREzTUCne0yWWU8OKWJojSN6fnN31I9rm6xN83ddZDJ4LdDogfIXBgxGsS/D3XZ8c3/WjcnbiJcHXfZ3d07GedYSWkLQ9aM0Fxc9OkDn/oA1drGZGERRnQl1Xfqb5gmd3t66leV+vIpXmq4XZA4auigRtCzK8p0eq5ycq2cmdrD24KNBhveCZpq7VSomj+cTJx4up01sggpGu4MBbIIpTM6ee/Up+/vhjEEFxFKcdYiV1qiE1Ymyu2GXWRqWSME1dPZfz/6sLedWGHSIYyTlCQ4H2yz5sc7etM3RVkqq5cZIRojZnbLVhaLIq1zKGYWgICiz1iPm6X/SgZUxrmgzv7W7p3/ghZ6D/xlopfrSSHt0KIUQJyhYE4JW0kEsGeHRNqftbV25xeDqu4oTI8p6V7/ij5dmEM1ItN24CQ09NH/pVvZw4RtD2SKhz3X3sK9cyinNCeAknhF/RxDc3ON7YsnflEif+DAA49Vq/a5qGgeH0X2zu9iu9LUvejpGMm3OEl4jVzIjN1bpG8HVdRzLOVhQjGE2VK5pcTRMU72dsvj6KcbapcjVdyoxvp3lPN4pRdqmWGycoW4CgbSEUJRhFrqaqhdmDxdTIs7JYmPGEh96myJVkKT32fLU4dxiYpiEEeq/3Rpfeq4il+OyZ578JTFMPtK/5qKaKBd4ZXWlJWwgaANOo5Kb3WiD/35cmafXqfHmk0HKYAAAgAElEQVS85brOe9KH5p+HGMBoJ+OP75r5K+VmgrV4ZQLBEcJQdLkwmjtCOigPME0gpqqz1bnymGvAt5LyMMHk7tkt9VT1vOzW/1NLkSppzhG8v/HyvoKgbUFZLCfmx3Z8F5gmCLav+QjN+/qycy//VzE98pzd3b7O4e26Vk+c/LOvZek73ZGhuzCcclRyUzstWU92jHNGlvtalr0LxUjONE1DkcqJSn56T9aSxB7CcNrh8PVsgAiK14rzR+qV1CnG5uvnhchyCOFvzysxt1iWOAAA1ErJ49Mnt3xeFosznBBdEWxf/WHWERqqFeePNM1fMZJ105y7/ZVEO5x2vF5vhvOVVM2O1Urxl12hwVvbFt3yE02pZWSxHNfUeiEXP/GXcm7yJUNXRG902Ttozt0JIYKiKMH4Ysvf4/T3Xq9rUqlWnD9isaKE2OzprV+vl5LHcYr3u8ODd7hDC283TV2bPvHUZwupkWcYm6/P4e28qpKb2qNKlSRB2wMkZQsydn/zXD3bvfye3zVUGRf1jJPrxVm7p+1+gnFEWJt/gKRtIalWmE5M7P4RTrJeX8uyd9Kcpzsze/jhcn56j8PTeZXD07G+oJ/ZEuxY8zFXaMEtCIpRpczY9lJ2fLtcK0zbvZ1WyhaK06Zp6LJYmqvkpnZlZo88UisljhO0LSj4ujdAAGC1MLtPquXGSdoe5oTwUnAegAcjGAEgKAaA9bxSpWoSQTDKBKaB4bSDYp2tiliay8weeUTwdV/HCZFlKEbyaMMX7WLKaqCZFoPH0BVdFUsEyXl8LctvtXvar6wV5w/Xy6lhZ6DvBpJ1fowg+VfMlUlaiL5RPz+IoKS1xhiarmtSrZQ4AREUJSlbyBkcuNkVHHiLKtcyM8NPf8nubr/CF1vxXggRBMXIN2W/3fS6MgxNkeuFqWph/kgpM/Y8ghGsJzJ0l2loyvTJLV8o56Z28c7oyuZ9eVEyd0tiJzTvS8PQVVWuJDGcdipyNUkwQgtOsp5ybmp3KTO+zd+26kMExfsbRtkXD/CoUqmUnXjRAi0vv88THrpLkSsJTakXxUp6uJgZ2y7XC1N2d/sV7vCiO5smznZ32zqKdbXrqlSWatnR7PzxPwq+rmsTE7t/UkyNPgchgjl8nVf7Wpa/h2AckdTU/geTk/t+TtL2sCu04C2qVEkW0yPPoRjJ0by3mxeisXo5eTwXP/6nziV3/uJSzkMjrfNVzywIa6XksXzi1F81pZalWHcHzbk7s/NHHy1lxrfXCnOHcJLzOHxd11mfNw3wJoDaCEawKEZwnCO0SFWq6Up+em+9khqWxdIsiuC04O/Z2HyHQHHaDpHX1zBVpEqikDz9JO9sWUlQvB8nOZ+uioVSZmx7PjH8eDE18mzT1sIdXnSnv23VhyjW2WaapqHK5bRh6ApJ28PNa8U0DU2VqmmMoAUUp+28M7oCIshvL6Q+EKuZkdnTz3+jbeFNP6BYVxtj8/fXyskTc6e3fatanD2ga3LV0NQ6TrJuwd+72Rdb9m6as7yDBF/PJt4ZXQkAAMXUyLOGror+tlUfqhXnjyTGd/1QrGXHALAa5TjBKKahFwAAKQAsg2bB33e91ch1tuYTw0/omlyLDWy+n6DtYU2uZXLx449l548+Wi3MHaR5T7fT33eDKldT8yMv/IsiFs/b2DVUVbJ3LxquQATV6pU0RDGSFDxdaqU0V49P7YEoRqnV4hzhcLebmiap5fw0gpOsWspNyDTj0mqVJOn09ryec/vq+m8P8AAAgKbUCwzv+zbNebp5Z3QlxQgtpczY9kp+eo/D130tilN2RawkqoWZfTZP+xUU5+qoFeMvu0ODt/PO6MpKfnpvanLfz+qV1DDrCC2O9l7zFRQjGENXxXJ2ckdm7uX/KqROb0EQlGzG680MP/PlYnpkq8PbeQ3De3txK3HonBcGhAgCAACqXE1Pn9zyuWJq5DkMp+y+1hXvw3BGSE8feCg9c+jXcr04E+xcex+EFsDTRHTfrDINXWNsvt31cvKE4O+93hnou6GQOvNMMXXm6fTUvgerxfjLNOfuaFv0lh81u/WsLbAg0LHmo+Xs5I709MFfskJ4KSU65iaPP3Gfrit1T3jobd6WJfdSrLsjMb7zh7n543/kndEVvCu2upgeeQ6Yhs45QkP+2IorK/mZ3amp/b+Q6/lpqn9z58UuOLquiCQjfIfmPT0Ob9e1BG0PV/Iz+zIzRx6xudvWohhlt6Lgx1/khehywd+7uZyb3OEKLbjV5mlbVysnTyQn9vy0Xk6eIBlHS0v/pm+iOMkbuiZX8tN7s/NHf19Inn7K0NW6L7bifbwQWTY9/PSXiqnRra7gwC0U62prpAS8ZpcUI2hno/tinTaS8wq+7uswgnUL/t5NpqEp5ezkDk4IL8FJzosRjPNi9N5mU6JlnTu11FxUvR3r/a2rPmSZeO74LoJglMPbdQ3rCA4BAACCEhxO2QLgdQI8lqkzyZumqeuqVI6P7/wRhBCSjDPmbVnyDldo8FapmhvPzh971BNZ/HaLXvzGul8mMHVgmgaEEJqGYdTKieOlzNjzslic5Z0tq3ghsiw+tusHmdlDv2kfuu1nZw/2AnNBm7HxliEzNBl7cBAiCGb3dF5F894euV6creRn9ju8nVchCEpgOHNRAI9pmibJCIcr+ek9dk/7lQ5vx/pSdmJHIXn6yez8sUerxbnDOMG62ha95cecI7wUQohQrKs92Hn5feXs5I7MzOH/pDl3t+YIDU0d/+snFKmSdIcW3OptWfou1hFalJra/4vMzOGHGd7bY/d0XFnJT+2pm4ZG896uQNvqm8q5qZ2Z2SMPV4vzh3lndOXF3k8IilNnU4BxgnH6YsvfixGsOzW1/z8UsTRPsa523hldLtay46X02DZFKsc7l771VxhO8qZFCHhdmx5o/T4NIYJ2Lr3zi+7Q4K2yWJpHUJzCKc5v6Fq9keRgxXURjBMiKHqpaWPF9MizYi03xjlCi61uWfpUevrgrwvJ00+JldQpFKds7tDC2/1tq/+RtfsHDENT6uXEcVksz/HO6MqmjEFTpVK9nDzJO6MrMIJx0ZynC5wD4LE+L5YYm/9fWHtggBNCS1oXXP9vpmnqDaPjkXJ+erdUy0/KtfykqtRynD240BVeeIemioViZvR5RaokeFfsMkOTq5Xc1G5dk8uIBU7RxdTIs+Xc5C7jb/HNTwJgHSma9/UGO9Z83O5uW5udP/YHqZaf8EYW3+3wdW/ACdZVLc4fycwc+nWtnDjRPnTrT0xR11JTex8wXiMK2lAN2dXvW8mGbG0uWRMpNxMwdVMzdEMzNUOxtzsXQASiKInSCIbipEB5CZ4USAflJgXaCwAE2WOJndPPjj5sWJ47/y2rVkqemD299evtQ7c+QNK2IACmQVC2IMN7esVqZiQ9e/g3+fjJxwEwDQABLKZHt2pKLZtPnnrSajBhVHz0pe8CBEHFSvoM74qtthhAUimfGH4iM3v44VJm/AVDVyVeCC9pH7rtARQjOLmen66XkifKuckdTS+PhknmOanzECJ4U+6oiKU5Ra6kPJGhu0NdV34GQgTLJ078uVqYP4ThtBDuueoLrCM01LjWAQAA4DjjvFC64OspTZXKNlfrjxmbfwFrDwygGMGmZw79Jj6243vNLr7g793ojS17N2JJXcRacf5IOTe5s5yb2lUtzh9yeNrXO3zdG2ZPb/1arRQ/6o0svscdGXobzXm6xWrm9PzIC/9SKyePhzrXfYLmvb3JyT0P1MqJYxTrarfSFFn36OFH36NIpbg7tPAO2Fg0LsWTpZKb3jN/Ztv9scEbv0OQrAcA06AYIcYJkWXV4vzLmdkjDxeSp560wDtdLWbGtmlqPZ9PDD/BOkJDuqaK8dGXvoM2Yqedwf6bEQSjVLmWy8VPPJaZPfJIJTe1yzA01eHtXN+28KYfmKap1Urxo5X8zL5qfmY/FRnqYGz+BRhO8ZoqvaZkD8NpJ4QQNU3TrJeTx2dPbf06TnJeb8vSd9KcuyMXP/nn1NS+n1ULswcRBKNYR2gxihHspfhBNthPOgAWi8Xu6Vgv+Lo32NxtlxdTZ562uVrX+FpXvl+uF2Y0pZ6zrvuGJxzF+xvNh0sKxji7rNQ1jLIYH5oMEQS1OWOrQ91Xfpa1BQZLmfFtYjV9WrAsF64CEKIAIhhOsm/Y4BkAAKy5m0Cq5sbGDv/hfZpSywfaL/tHT3TJvRawtOULqlxJuoIDNwu+7uv+1qS68P0FIYJiOO0EwGrY5hMnH09PH/wl72xZ5Y0uuRdCBE2M7fx+amr/g4pcTTt83RtwkvOhOO1oeiteTBmGphK0/VGbq3WtK9h/E8q52mvl5ImxQ79/dzO1j6QdoUDb6n8gGSEGTNOol1PDjftyZyU3vQcjaKF18KbvF9OjWzMzRx4W/D0bfbHl7+Od0eW6plST47t+nJk98ognMnSXw9d1bSk18lwpM7YdQQkm0Lb6H12hgVsmjz3xiXJ24kXGHhhEMYIzDF2BF2v4DhHs7/Ed06gW5w6hOMULvp5NGEELpczYtvSpQ7+RGr5ZNO/pCnSs/Thj8/VZ3zAumjF0vkJRgtVVuTw9/PSX9IYNh93dfoUzOHAzaw8sMHRVVqRywmLEI3jT9PhSyzR0nWJdf/JEhu5iHaHFpmloufjJv0wee/zjmiqWUYygBX/PJl9s5fvt7ta1pmmaldz07lJmbHs5P7OXsfkGWvo2fB2iCKprcjWfGH5CrGZHgx1rP46hOI2TnKexjpzXi8c0DQNB0Oemjj/5qdbBG75DMkKMYp1tgr9no2losljNnKGc7lWB1lUf4F2xy1Sllq0W5w4pYmlerGbHxGrmDIQQZR2hxQzv683MHnmklBnbhuAk740suYcVQotZe3AoPvrSvyEI+rBpGjrrCA21DGx6jyc8dBeKU3bTNDRXaPA209DkSmH2QGb2yCPF1JlnauXEcWACkxPCS2MDm79NULbA3Jnnv1XKjD1/MWwt09A1lKQduiyWgGkaci51ypDFkoGipC5Lc2JyZh/O2gJSJnHMNHSFdHMDKMP5IIbTlCe4EDTwgDda/1cAPABYaOHM8JYvti28+fs07+0FEAAEJRiIoKSuKVXT1BUIEYykHZFydnKHLJXny7np3c5A3w2mocmsI7Dwb/RFiJSzkzuTk3sfKGXGnm9QwIho33VfszmjK9Mzh36tKfVcw9xPpDlPV0Pe8doAj+XcywEAgKpUM+XM+IucIzQU6b36yyhG8sXUmWcMQ1dCnes+SXHuTpJ2RJpjQTGSRxAUv9Skr/Mfq+zI7KmtX2tZsOnbNOftQTGSL2XGX6yXk8cNQ9ecwf6IrsnVYnp0q1TLTRRTI8/Wy8kTmiaV3aGFt3OO0OLE+M4fcI7wUn/bqg9iBONSlVomNf30L6VqbqxlYOO3EAQjkpN7H6iXkydtnvYrWvo2fMM0DS01ffAhkraHvC3L34XhpA29BPmFIpbmZk89+1UMpx2cI7wEQogACCFGME5ZLMwAYBjANHSKdbbVSvGXFamSKmcnXnIF+m8yDV2leU83ghGMIpbiEEHxamHuYHJy788KqTNPW4ZbEA12XH6f4O/ZlJ0/9qgqV5K6ZrmqE4wjQnPuTnAugAenBQit85SPn/hTIXXmaV6ILKc5d2e9nBpOTx94yOpAvPUhu6d9vfX5C9NlTdPU/sYagoBkhGi4Z/3nXaHB24qpM0+bhqH7W1e8H0AExXDKzjks1gGKkRxBXpwfy2sVRFAMxQjW0FXRMDQJxUjWE1n8lkD7ZR9BMYrPxY/9QZEqSYe382oEQXEEtSRur/f3GnM1rOVJFefPbP92MT3ynM0VW+2LrXgvQdkC8dEXv1NIDj9Bc54e1uYbaA71tbyf/m4ujQ2RaZqmIpXjVhpEvSj4ejZCBCXzieEnEuM7f4ggGME7o8shRDH0EoBVRSzNzZx69qutgzd8h7WHFmE4Za/kZ/Y1IsAVu6d9EJimXkyPblWlcqKQHnmuVowf0ZR6XvB1b7C72y9PTe//Bck4W1v6N91PsUJMVeq5meHn/qlejh8Nd6//HE6y7vT0wYcq+em9nCO0pKV/0zcxgnFlZo88gmAE52td/l4Mpx2WpvnCBSGCnn3cNFUsJCZ2/5ix+Qc4IbykMYf96emDv1TlSgqiGBXqvOKThAUaWpHL5ut8cW/gNgiK06mpAw8mJ/c9YOhKHcNpgRMiy2yu2GqIYpRp6hqEGIERrBtCiIFLpOwrUjmRmtr/ID2wuRvFCFasZEZy8ROPGZpScwYHbvbFlr+btQUGNU0qp6b2P5hPDD8uVbPjDl/XNTZndFVTFpOeOfRrodHNOzuB5nwlVjNnpk8+9fnWwRu/S/O+PmDqeiU/szcxsetHUi0/ZZq6wjtbVoU6133S5m5dg2KUTVelksPTsb4hwdilyNW0EOi7vl5OnoiPvvRdVa6mEBSjeGfLSpJxjMn14hyECIKTrNsXW35joP2yD1Osu0OspE7Z3G3rvNGl9wIAYLU4dzA3d+wP5dzkTkPXxEjvNV/FcNo5P7L9/nJues9rjT99cH5bLV6eHHvs5E8ogfZ6l4WuKo5kj3gXB9fjLMEXx3LHDM1QDUWXTdM0UBKjERwlNFGt1ROVqfJU8VQtUZ7UJO2iGGX/p1bDt+752VPPfjXSc82XCdoe9reueL9pmrom17Lu0ODt9XLqVCU3uTM5seenFuOYtjs8Hes5R3gpguJ0uOeqL9QrqeE8MP9CMUKsnJvckRjb+YNSZmybqtQLAABA0DZ/sOPyO2vF+SPJqb0/q5dTJyjW1U5zViewKZUF5wF4LPN02mGapqkptRxOcl53aOEdwDR0Va5lUIziGZt/AMUI1uHtugYnWS8wgWGapgkhhDjF++GbkDL0WlUtzOybPvHUZyJ9136VtQcXBtou+7CuyVWC4v6gyvUsTvEvjx36/btM0zAMTalKtdyEIleSEEDEFVpwS6hr/Wcr+ak9CIKSXUvf9hveGV2hSpXk9ImnPiOLhRnGbjWppGp2dO701m/IUmmOtQcG/a2rP+QM9F1fSI08CwCAnsjie8Ld6z+LEYwTQQn2UhgPhqGrKEb+iaBsgWDnuk9SrKvN37rqgyawWDLu8MI76qXE8VopcTQxseenpqFrOMm5HL7u65pJStG+a79aLcZfNk1DJyhboJg6syU+vuvHldzUTk0VywAAQLHOWLj7qrcWUiPPpqcP/lKqZUcZS4baBgAAFOfuaDAgz7zWODGCESBAUGAaWrUwd4h3taxyBvpvkqrZ0dHDj95fzk7u1FWxgJOcF6I41TQ6vZRUH9Mw1CaDh6Dt4dbBG78DIYIpUjkBEQTPxY8/Vjv93NcwjOL9rSs/ACGCNa8zBMEonGCdAIDX9Dq7mEJQjEJQgtFVqWyausoL0RXtQ7f+lOY93ZoqlWmbt5dina0QxSiswZK3nu1WnPMbrga7RteUKkHxgWjfdV+3uWKXIShGAtPQg+1rP24C0yAZIdpkq1rfu/D9BSFEMcJqQGmKWKgW5g75W1d+gLH5+ovpkefS0wd/WSsljjW8ZqKvMPAwnAUQXNKLpSKWEozN92UATEPw9252eDuuivZf93WG9/5YquXGIYLmp048+RmIYKRp6qpUy00oUiVhaEqNE8JLWvo3fNMCZONH2xe95UcOX/cGBMWZ5OSen1bzM/tRgna0Lrzp+wiKU4nRHd8rZcdfxEnO5w4vvN3ftupDuiqXdVUqckJ0eWxg0/2MLTBQLydPIhfJJjv7eYWRrLtxv9/I2v0DtWL8aHr2yMOqXElxjvDiYMeazbEFm2OsPTjI2PwDTbDNMDTFMM6dpHexhWAkZ5qGrqtSiXOEl3giQ3cDCGE5O7EjMb7rR5paL4Q6r/ikdT9AiJOvP01OruenUlP7H4wt2NyNoATDOUKLnYG+G70tS5GuZXfdzDlCS0zDUDOzRx7JxU/8uV5KHFOVWoZzhJe6wwvvAACAanH+SGpy388VqRwPd135WayheIAISjQZZxeqRnLXk4Yu10JdV36ac4SXeMIL7xR83Rs0tZ6X68WZYnrkubmR7d9WJMv3E0FQnKDtIVdw4C02d9vlqlzLyvXCFO+MrnCHF95hPZtxRpXKiULqzNNiLTvGOcJLncH+m5yB/hspi+WJGbpaL+emdhWSw09U87MHJbEwrcq1tGnoOoqTnODr3hDuWv9ZgraH5ka2fzs5ufffdU254H4FIUjWuWBFFEAAScHThVJWs55Cw0tQguQMRa4yodY1KMUIhMPdpstSGaNZNwwSLIQQgRhOKYX0yOs9t2fX/zUAj2kaBoRw+/TwM19u6d/4TbunY73d3X6FKlfTEk7adE2pKXI1AxH0JxBCxOnvuyHSe/WXEIxgdV2tQwSjCIr3O3zd12VmDv06Pr7rh4pYmjdNw0AxgnGHBm8Dpq6NHfnjB6Rqbszmjq3xxZa/B8VJG4bTDoK2h89lQAghgmE44zRN09Q1pQohgoW713+esfkHVLmW4ZzRFapcyxAk52Vs/v6zY58RlORQnOLBRTjGX/SxMnQdIugWw9TVSM/VX+IcocUdS+74j8TE7p8QlO1JVak+VcqMbQdWrKpqmroGEYz0t658f7Bj7cfL2Ykdgq9no+Dv3YwRjFOspE7l4yf/QnOebn/ryg+Us5M75s5s+6ahq6InvOhtNO/tQTGCLWXGX8BJzhvtvfZrDO/pgQhGojhlv+hxW+d43/Tw019s6dv4Pzkhsox1hJfoqliU67RD15SapkpliKA/B8A0HZ7Oq6N9G76OU7xPquXGUYyyo2g9729b9cF8YviJ+dEX/1Wu5acaZrik09+7CSdZz8TRP3+4Vkoc44TwMn9sxftxy/AMJxlX27nSHTCCcUAEweVaYbKUnXjR27L0nTjBuPKJ4cfT0wd/JdVy4wiKM6pSzQJgmihGchdFxzUNo2nQjSAoEem5+ksoRnB1C93G6tX0yVz8+B8JyhaM9l33taacBUFxxmJBvL5CEIxGEIw0NLVumqbhiSx6W7R/4//EccZVzk/vJmlHlLUFFnLO6IpGhC79ejsOzWosxtA0dNUwVNHbsuyd3ujieyCCUapUSTC2wECkx/MV3tWykmJd7Wd98UIAD2ZtiEyjnJ3aqWtyJdC+5iNSLT85e3rrPxUSw3/VVKlkc7eu0ZR6AcNp4VKAx8Z1+dLk0cc/Hum95iu8q2VV+9AtP01O7P4JyQh/VsTSztPFuUNNy3/TMDQAAfRGltwT6b3my9XC7AFOiK5wBno34yTnlcXSXH764EMEZQvGBq7/l2px/vD8yLb7FamadgUX3MrY/AMoTtlqpcQxBCO5SM9VX+Qc4SUQxchmlOhFHevGxs8y3Bu624ps9fXl4if+VEieesowdIXmPd0OX9d1gq9nQ8OTB7dmrCsXE+N9zt9HUAzFcLqcm9hBsa52d2jwNpJ1tqlieT41te8/TNPQWwdv+h7NuTusBLRLTzcxdE0haftfHJ6Oq52B/hsEX9e1DS8JimJdHWIlNRwf3/H9fGL4CamaGwMQoq7gwM2B9ss+YuiqmJra/2AhNfKMK7TgVoev+9qmWeXFbG5MQ9chRLZOn3z6C9G+677O2Hz9rvDgbTTn7qwUZg8ACBHOHlxkGLpSTI08q4jleamem5TrhWkEJVmbu3Vtg4m6rV5OnXR4u65m7P4FrD24SJHK8bkz276Fk5zsCi1Y54ksusvh6braaiJY0cRqJX06PXPoN6X06NZKce6QoSk1kraHwz1XfcEZ6N2cnj7wi/T0wV+9FnsHAACUqlwCDc8xysX4XAt8q9kg30Z7uVDm5cSO0UeP/0CXtPorMj3Y+Ne0DOdM480z4v3fvQxdlRAE/aVpmnq4e/3nKNbVgTSMGHPzx/5QLczsa+wLNJxkXaHOdR/3t676gKrUsqnpA7+Q6/lpjGBd4a71nxOrmTMzx/7yMamaG2+uMxTrbPHHVrxDqRdn5ma3fdPUNZkVQosZm39ArhemAQAmQXJewmoyHTrXODGcsiMowZmmoalKPSfX8hMTR//8UQARRJXKSV1TKpwQXhbsWPNRBEHJXPzEY4auSa5g/80oRnIEbQu+UfPbcx5DQ9cgRLYoUiUR7Fj7cWew78bYwOb7HZ7Oq9Kzh/+znJ3ckU+cfAKAv/fDEPw9G6J9G75hmrqGk7y3ZWDztxEEI3VNqeEUH3D4uq6jOXcnipF8eubQr+NjO7+vSOVkoG3VBxh7YGEpM7aNdQSH8vHjf7K72y4Pdqz9WL2UOE7S9jBB2YINVsl5O9Vnl67JdRQjftxs2BG0PYxADDNNQ8/MHH64Xk6eaJxXg6DtwWjvtV9wRxbeqdRLs9n5o39QxPI8TtkCkZ6rv1jJTe2ZPbPtm4pYnG3OmeY9Xb7Yinsr+ek9ufljfzBN0+Cd0ZUU5+mSxMIMB6IrSdoRxUnOC84F8OCUA0CIAIigDm/XNYau1BJjO7+fmXv5dwiKkQzv7SFZZyvFOFsJkvPpmlxFUOzvGJ8XqsYeFgIAAAQIItcLM+npAw8VUqe3KGIljqAoafN0XOn0992gSKV4evrALzyRxXdjBC0ABMGaHkGvt6ykJZy1gidMU/D3bjZNQy8kT2+p5Gf3V4uzBwmS9/taV7zP0DUJmMCEEEHfyJ7p7+dvMUco1tn2v9h773A7rvpceLXpe+/ZvZ3eddSb1SzbcsENGzDGoRtDqKHkJoQEUm4KhCRfIJdcUi7w5caQEMDEEALG2NiWLNuyrN6lo9P72b3Onj7r/jFzJNnI0tGRbGPQ+zzzqJx9ZtaembXWr75v+8q7v8zxcpOuVqbUWuZUozp3TK3nBgCEqKln2++da+8vxCZ0E1ZuAgoT1p/q3PJxtZ47NXzohx+vFyf2EFYMB6Id13NCsEX0x/tsS68DQB2MWfGlKkQLQaOaOckJ8u80ap3+VQAAACAASURBVNmT8da17011bPmYP9S6ITu+75ul7MBj5dzgk2coKLz3lJciHa1Lb/9LSU6vrBbGnmvuu/EPWF5usm29jokk+cNtm+Vo5w2CL9ZXzg49OXH80T9UKnNHA5G2LfH2DR+oFsaeqxUndptadRYACNuW3fZ5y1RLulqewgwfmK/IvhT4Qy3X+ILNayFEDIQA+KMdW1lBbtKU/JCmFIbVWv50OTv488L0sYfFQGJp85Kb/5gXQ21u67t92QEeTFgf4aRIvGXNu/2R9msL00cfLs6d/IkbhHTX+rbldyrAbQeDaBGt6fOglFKG8/2nP9K+Jdq86jdEObWie919/z+ljq0rxdHc5MFv56cOP9SoZU/Oy4EHoh3Xdax80//ixFBbdmLfN3MTB/5d8Mf6Wpfe/gVeCrWfrS67tHfIcWwTQviEUpk7EkouuTOc7L8rEO24jpeiPSwfbAYuwwOvKcVRzPCBYKz7pkC083qIEKPVC0OU2qYkp1ZyUqjD9aNddbDC9NEfavX8aUlOr/KqgzoYzpdACDOaUhzNTez/t7nR3V8ztFpmng8MIcL4w63r2vpve0e0ZfU7bMuoT558/M+zEwf+3Z0nC/g+hq4gQr4GKKCu7wE9/i7CQ8IIEBMOEsIhTDgAIaK2bVDb0qlt6Y5tGQgzHGQY8eJXujh+bQI8ALgvNULkJ5auFJp6t/2eHOu60bbNRnZ8/zeVyvRBALwWJX98iT/cuqmSG3qqVhjfVS2M7Uq0X/OBVNe1n8hPHf7e1Ontf2PqSgEA13GPt13zboQwkxnf968AAJDs2vJxSU6trJcm9oiBxFKG88U5QW72DP9fKOWDEBOW9yUAANQyGiXTUPLjxx/9I4QZzrb0OqWOLfhjfcnOLR/TG6WJUubUo8F47xsEX7QbM5z/YqXXi7pXrkH1c00pDMda1r472rTyvpa+m/84klr25nJm4LFSZuAxj9fDopRSlg8EE+0bP4QZXmaFQBoRTrKMRjE/feT74WT/XS39b/hT29Jrc8PP/UNmfN+Djm2qoksc6ytlBn7GCnJTOTv4ZPuyO77oOLaRndj/b4m2a94PIb6kd5RSSiFC20cO/eAT6Z7rf9ct93PM3OTB79SK47vmvxsnhloC0Y6t9dLEC3Mjz/1DOTv0VLR55X3Jjs0fqRbGdk2deuILulqZAQAAwvD+WMva+xhOimbH9v6LbZtqon3DB/3h1k2NWua4KCeXcWK4gxMCaa+n90VRXoQw0732bX5P1V5OdW75LaUyc3jq1BNfaFSzJxBhxFBq6ZvkSMdWTpCbAaUOIoy4sD5zCM84txBi01AKEycf/7NqYfRZQ61MY8L5Qokld4hyatXcyPP/xx9u3RhvW/8+hDCzGO6SebjcTxBSQAFhhKAUbFpTL03uq7mqPkcIK4QjqeVvsQwlByFEmBGCzCI23Rd/VYQBRBhjRkh1XvsJTDi/oVZmaqWpvbXC2HOaUhjhfbEeOd5zkyujjQR3r7nwfUSYlVxDHUJ/uGWDGIj3Z8f3/t/i7ImfWEajwEvRLl+o+Rp/pH0LpdQGLq3PJS3AbvYRPTd04Psfijavui/avPrtTT3bPhNK9r+xnB18ojR38ieGWpl2bEvzgsZComPjhzzy9jjD+1OObelzoy98PZTou72578bPUcc250Z3f82tOFLLvBTuYIVAupwZeIwTgy2l2RP/3dJ30+cIIwSz4/seTHdv/e3FSJfHWtfdjwkrIsz6LFMt+kOtGwVfrE9rlMaMRnnK0OuZubHd36iXpw409Vz/OwARznFMbX7TXAzcEmQx7MqV999ZL03szQ9s/2tdLU8ACgAvhTvmFdUQ4fyL5WTQ1cq0L9Tyl6wgN/lCzevlWPeNai03MD24428rueHteqM0Til1MGF9weSSO1r6bv4jrVEay08e/A4AAKS7t36SsGJUreVOSy55KQAL/N6UOhQh/Iih1eYSbesfCCZ6bxXl1EpfuHWjZSj53MSBbxdnT/xYa5TGAKDUH27bHGtZ9x5fqGkdBAjpannSF2xe7zo+YkSr5wdLmVM/0+qFQX+4bXOyY/NH/OGWjZwYbndVwJR8bvLQd/LThx/SleKoodcy8zLMgYgrOiAFm9bMDu/6h7nR5782Xx1yMRhlLTf+6OlviUlfa3bfzFN6Wc3Zmq1eqPUKIoQQhoRS6vwqt2jNw81Ukm+70rM3/oE/3L4FE84XjPfeqinFEYaTDlimVmFYESnlmUNDB77/QUOrzKq13Klo06rfSHdf9z8gRHj40MMfU2u5QQDclV8MJJamurZ+oFGdPVbNjzwt+KK9YiC1wvSIhyOpZW8BXmD8QnMfQoRirWuSEELo2LZhGY2iZWo1CNFhzHB+SU6vjrWseacc67qJl6JdtqlVy5mBx6qFsV2BSPtWryI04e3Xl92ucD5Q6lAAwEGGk363OHvsv8LpFW8NRNo2t/nj/ZpSHC5nBx73WttnPNUrW/QnlyFMeFPXc1o9N+iq3vli06ef+utE+6YP+yPtWwy1Mj15/NE/LM4cfRgAiDhBbhJ8sYFaceIFUU6tUMozhwy9nu1YcfeX1XrudClz6lEpmF5VL03uWYxIgW0ZKsLM1zWlMOySuTavI4wQCif77zTU6jTDikctS6uyXABWC6PPuEGP6rSmFEYS7dd8oKnn+t+1TLU8dXrH/6c3ShMAuM/PF2xam+7a+r5qYfTZWnFityinVgn++BKjUZ5Qq5kT8dZ173U/C9GFAuKY4WUIEYYQIoaTYuXszCGG96c6V73571k+kFRr2YHi3Mmf5IsTexjen5CCTWtYPpC+lCA7RESYfx9NQymMH//pZyv50WcwZiVfqHl9MN5zi22bam7ywLc1pTAsBVIrI+kVbwVACLnt4QurRD3vtSFCsZY1fojO2pa5if3fyk8d+q5lqiXCiJF42/r7/aGWa+qlqf1zI7v+Mdl57Sd8oaZ1C1WhvBjm29UJK4QsRS1NnnriC+Xs6Z9rSnHEJWAPpFNdWz7h2EYjN3ngP0KJ/jsIK4TAQiIwEOJ5bk5MWJE6lq4pheFgrPvmZMfmj2LC+qr50Z2V3ND2Sm7wiWBiyR2uw0y4i9lKLwddrcxgzPx1JTv4RDi19E3BRO+tTb03/F60ZfXbq/nRZ0uzJ36iKvlBhEjVcSyTE4OtnCA32ZbRsIxGqZIf3RltXvX2yZNP/IUv1HJNONV/F6WOPTvy/D9nRnd/zdCqs5wYbLFMtZSb2P9vjkf6XsoMPNa85KY/5IRQ29ixRz6T7rn+06Zez5oXUjm6ABzbaOhKcaxSGH2mVhh/XqvnBw2tMu3yC9pn9inBH8sl9U0fBWKozbEt1bENZTHXOxe8GO5oW3bHF33BpnW5yQPfdmyjEWla/laGESPty+8ME1YMR1JLt0CEGOo4Fr5MTktTr+cEf+zzhBXDwVj3zRAhUs2N7MxM7HuwUc0cp7al866IA+ClcEdT342fhQDhyVNPfsEyGoVEx8YPC75odyU3+GQ545hNvTf8HgAAuD7hpdl+XuAvAyF8sDh74se+YHpNKLn0rlCi91Z/uHWDHOva5tiWPr/GFKaPfF+t507zUqRLDKRW8L5IN8KEtwwlr1RmjxRnj/+oUc2cMA0lD6rOcX+k3ZTk9CpDq85kx/c9WJw9/l/18tR+2zJUhDBhOCniC7Ws71xzz9sCkfZrWS6QrOSGts8MP/v3teL47vlW4IXCsc6b3FQBAAuyqa4Ufq0CPAC4faMQome1Qz8YTXZs+lCsdd17W5e+4c84UW4W/fHtmlIYBgCOTA48+QXqODZ1LM2TxttCHccqZ4eesjwJOIbzRZMdmz6IMMObWi3T1LPtM5wgNyuVmcPZ8X3fDCWX3IEwKynlmUO14sQL1HHO20YFESKujCmlltHIW6ZWBQDsZFgp4gu3bIg2rXxbMLHkdpbzxSv54aczoy98HWFGEHzRbkzOBHiuOLxJOogJ+ze5if3/5lbENK1NdGz6cKJj80crucEnK7nhHaI/fgoipFTzIzt1tTxpaNWZdNfWTzVqmRMTx3/2J+XMwOPBeO8tpbmTP63kh3cgzPByrPOGSm54h6FVZ5Kdmz6qq+VJTgy2BBN9tzWqc8cIwwcy43v/NT91+KFLHrfj2BDCfaNHfvQppTLz/mT7pg83L7n5j1g+kJLk1ONqPT8EqDM7ffrpL1Hg2NS2dF6KdAUiHVshRIzHvD4HAACEFeR42zXvYzhfwlArk8nOLb/FS+FOtZ4byE3s/5Y/0n4tYYSQWssOVPIjO8+3ELhKFKwIAIReu1q+UcueCiaW3JHquu63TUPJF2eO/XB66JmvyLHOG3yhlvUIMdyC+q0RIhCR+d53Ojfy/D/nJg9+h2HFcDDRd5sUSC5XlcJwdmLfgwwrRj01FQAgIogw0mJlbYlbWQUhAMAyGsXx4z/7YwghIowYijStuFeOdW5rVOaOTQ3u+NtUx+aPRVvWvItwUuxy2gkRIjyCmIEIEQAonR157qu5yYPfMdTqDAWO7ZOb1gQibdcq5elDpl7PJNo3/CbwwucXOi9muIC3cUCW96dKmelDACKS7rn+d1k+kKwVx3eX5k4+Us4NPtHa/4Y/jaRXvBUhcskSlV4WZhRh5u/zU4e/5ws2r5eCTWtiLavfmWjf8IFKbvjpSm7oKUlOnUSYnasVx18oZwYeV5XCULJj00f0RnF0auCpvy7OHP1hOLXsTZX8yM5yZuBRACGWY13bqoWxXdnx/d+Mt61/wDK1CiacP5xaerfeKE0EIh3X5SYPfTfrBaEvBQznixladUYtTuxRytP7q8Wx5xuVuaOW0Sg5jqU5jqVTx7EDkY65ZMfGDxEGMba7hi0ahOHlVNe1n/RH2reUZk/8WG+UJ0Q5tSIQ6dhKWDHEiaH2+WwqxoywoGq3l4FSmT40duynn21deuuf+YLN6yi1TTnadUMg3L7lzIcgwpKcXN6oZQfqpck9crznZgQxW8qc+llpbuBnLf23/IkUTK8GlDq2tXBjz61MgHvUWuYEN7Lrn0LJJXcEXd6n/njb+veF08vfoqvlKcIIMuOqWk2q1exJ2zYbvBRqEwPJFQgR3tDrc7pangRej4pRy550bFPFDCdT6lhKeeZQbvLgdyr54e2WoVYgRJgT5GZRTq8MJftuD8V7b9PV8sTY0Z98pjR36tGFZqsAAMCxHQcAcNo7LgqEEY6uSGzytQR6AAVUiEmPqzlldqHXe73CcSwDQrRdU4ojifYNH4y1rH1XKLX0rkC0Y6tbKn7yp41q5nitNLnH1GuZ+b2kbdnt7bpSHDW02pymFM9wpgm+WG+ifdOHTb2eFQPJZcmOzR+1Lb1anDv5CCZRXyq55A452rXNMtVSdmzPv1RyQ0+93NgghIjj5SYAAKDUNi1TLWHM8MF493Wx1rXvCcZ6biGcLwYhIm5KgXAsLzdTx9LAGWl1RkCYkQAAi1JmXChMXSlAiH5Uzg49SVgxIsnJFcnOzR9tWfKGP011bf1UNT+ys5If2eEPtZxghcDg+LFHP6c3ShO+cOuGiD++JD916HvF2ZM/qRUnXvBH2q/V6oXhRmX2MAWOE4z13GRo1blaaeIFV31ywwdLcycfCSf77/TWnDjLB1Iu8evur1/KPDkXjm1qEKGfafXCcLJry8cj6eX3RJpX/oYc676pmh/ZWcycelStZU9V8yM7Tb2ecxzbRJjhODHU6ikADhha5UzLvxRMr4m3XfN+XS2NByIdW5t7b/ysrlYmS5mBx0U5tTKc7L/LH2rZYOr1zOzws/+7Xp562UouhvPF54MvEBFWjvfcHIz33AIRZm3LqCuV2aOYsD5/pP3aSHr5mzkx2OJmqxe+BjOcGJ5X1YQIE04Md0TSUkSSU6sII4SUyuxh2zaUYLznZn/4lj8WA8nlDOe2R0GI8Dzh8qLgZpxE7+8YIcw0atkBlvcnwqmld8mx7ps0pTQ2cuRH/0Ot5QYwwwXibevfDyFmWCHYDBEm9BxnfxGXh8uv+6gMAIBKZfbw2LFH/qCWH32GAupwQqg1lFxyZyS94q2ObTTGjj7y+4ZamfaH2ze7Le4L4uAhDOdLzP8bM3wg1rL2PRAiAhFmNKUw4jinNYYPJKVg09pE+4bfdKtWLj35cy5s29QghM/Vy1MHZoae+QonhtpjreveG29b/0Ci/ZoP1EtT+8rZwSfkWNchQCmdGdz5d7pWmSaEl9M91/9OvTS5p5w9/Xh+6vBDhZmjPwQAgmp+ZKdjm6okp1YRVgxV86PPAgBh85Kb/8jUlazgjy/xh1o3Ek6KtCy55X/Wy1P7pwef/ltdLU9efMQvhmObajk79FQlN/SUZahFx7ZUlg+k51vkIqll8zcYNPXc8EZXlQ8A29Jq1gKTIRcC74t0cl4lTFPvjb/vVlEjDM8cEHucX25dyFm7f9HQ6vnBsaM//r2m3m2fiaRXvNUfadssutyqL/IJIEKMZTSKpczAzwLhti2EFYK14sTumcGdf6c1iiPprq2fmv+sY5sqdRZX0eT5InkI4RPVwviu2eFnvxpK9N0WSi19ky/YtGZeyUuOd98sJ3pvxZj1QYQZXSkMV/LDOwrTRx9WKrNHLFOrspwv7o+0XxtrWfNOTLhANT+6Mz9z5GGtnh90bFOFCDNiINEfa123KZJe/lZfqOUajBlBqc4dnR3e9Y/FmWM/dIsYnFel2hhChCBheMQwEiKMYOtaxdZdLqvF4tcuwAPAGUdrEhP2r6qFsV3x1nX3tyy55U/irevfVytOvFArju2ql6cPGGp1BkCIdLU8OX780c9hwvqVyswhACHixGAq1rL6nlBiyR0AUMfnqlSgamHsOYQZoan7+t/1hVs3lLODP58e3PGlenFyz8u9KJjwMmGFIKCUmkajiBAmwUTfbV1r7n1AjnVe78o+UwoopQzvT0KICLVdYl2EGQFdYan0l8LrOxwGAAwjTH5QyQ4+0dS77fcTHZs+HG+75v1aPX9arWVPqUp+GBPOH29b/4Cq5IdmB5/5im3rtXLm9GNKde4odSwDIsxiwstavTAs+OP9yY7NHwkn+9+oN0rjnBRqR4hwmLC+uZFd/1yYOfaDlyMCvBi8hSKHMPlKrTjxQrx13f3pnut/J9a69t314uTeanH0uXppar+ulicAhMjQ65nJkz//C8zwcqOWOQEAACzvT0TSK+6MNK24l9qW7uva8nGMWbFWclVlkp1bfssfbttUK07umRna+b/KucEnzxe5xoQPzAfhIIRQ9Mf62pbe+ucAQOjYllbKDDwu+GN9vmDzumCy73ZX+vTicpgAuKXG844uBADKsa5trCA3sbw/ZepKztSVvCSnV8Vb171X8EV7WV5Oz/eyY8xKXsb1kgMumHB+AN02HojcflY51rkt1rL23YZamZo4/tifeH3elluJBSHLy2nvXV1U77xL5Eh4Q6tnJk7+/M/zU4e+CyigopxcEUmveKs/3LKhkh95Oju+70FJTq/2AjwAXqRFi+UDqXnHBWLCRdLL3xJJr7gHAAAMtTrTqGZOytGubbwv1ivHem4BAKLLMYY8yelxAMA4QvhHpbmTP23uu+lz8dZ17423rn2PphSG1Wr2pKrkBwFEONG6/gHLaBRmh5/9qqUruYpez6j1wiAAlAKIGEw4n6YURzkh2BJvu+aBaPOqtxtqeTKc7L8LEz6ACe8vZ/c9np3Y/28LNUQomK86gtDUaplKbvhppTy1zzQaRYw5nz/ctvnczyfa1uOm3hvuIawYpo5tGNriMmjzYAW5KdG+4QOObemx1nX3Jzu3fAwRVjqHlwpCiAmllLqOwuJbQ7yA8I6hA9//YLJj80djzaveLvrjS13j6ux5HdvSISIcJwSbM2N7/qU0d/IR02gU/eHWje79gIgCx7ZM9ZLeb2+tqgEAjgIAjjKc7199wfQqf7htSyjZf6cv2LwWYSI4lqk4jmUwfCAlB+L9EGJWqUwfKM6e/Em9NLmnUcuesk217A+3bgynl9/Di+EOpTJzeGbw6S/Vy9MHHctUECaCHO28rnXprbcGIu1bxUBymWWq5dzkwW9nJw/8+3x1yMsBM5iFGGJAAXUcalPbsalDLygVDRGEEEEMEcIQQSw1BZr63r3q962GWefDQrw+UxsFAPzKB3gAOBvkxZj5fCU3+ES89ZoHQqn+u8LJpXeHk0vv1tXylKbkB/VGeaK578bTai17ytSVR4uzJ35sm1qFOraBCefzhZrXNfVue68kp1YhzAqCP9YHAESObWqBSMdWiDBLHdto1LIn50Z2/VNh+sh/XrAiC0LEisFWAFzSUMc2GrHWde9t7rvxs5wQbKHUsW1LqxqNypRpKPlGNXO8lDn105eeYzGB78XAu49VAEAVQjimVGaPJjs2fzjavOrtsdZ174m1rn2PS1peGLR0Jc/y/iQrBlvnRnb9U27q0PcAANAyGkW1mjnBicEW2wy2AeCqXUGEmKaeG34v2rLmXSzvT3JCsJkTg23Usc1GdW54evDpL3uCCxdV+Lzgd3BVZk5hwn22nBn4Wbxt/QPBeM8tkeaV94WbVtyrN0rjWj0/pKvl8aaeG04H4z0D+alDD+UmD37HMhpFCDFDWFH0BZvXNffe+GFODLUF4z238L5IFwAA8r5YTzDee6ub8bf1enn6wOzws/+7MHP8R7alnzcIjTBhe695d/cZ1SYIEcZn2wUIw8vp7q2fAuCsQweAK3sOFsi/hAkntSy55XritQsTRgh1rLz7y9RxLE0pDJtGoxCIdl7PS5FOhBlBb5TGa8WxXYFI5/UMJ0UhRGShXHIvAzjf9oQQ4Rnenwwll9zWtebej3BiqD0/dfh7pbmTj+hqZRoASlkukCSMEIQQQoYVo14lcnaxF0eE87nV05Rmx/d9U61lT8rx3jcE4903+cOtmzgh1Do7suufsuP7HjS06ozgi/aCs02uF73HmBFkXjwrs+wGxM76CIIv2t2+/I1/c767crkUWt5e1vCOGcIKx5XK9MFk+6YPy/Hum0PJJXeaWj2j1nOndbUyhTEjSXJ6ZSl7+vHM6O6vm3o9SymlDZcCYR0nBlsAoMC29KpjW2qsZc274m3r3+cLNa8ztFqG5delECa83iiN56YOfic7vv+bpl7PL3y8jjkfy0CYlSKpZW+KpJa96YK/5IVXvOSoY2i1WdNQcpdx2wAArrJnYfrwQ5rbVuu247nPxHtfIfIFm9bK8e6bAQDwcit4ADjzvE4ynPSZWmFsV7x1/QO+UPM66K7jcN7+oZRSwoihdFf0E5XcyNMzw89+VanMHEKI4SOpZW+JNrsKyZRSxzb16uW0558zLgUAMAQAGGI430OBSPu14dTSu0OJJbcTTjqTbLAtXamXpw+WM6d/blt6nfdFe/yh1o2h5JI7JDm1sjR36tHJU098vlGdO44JHwhEO6+X5PQqT1l5jeCPLwEQwkZl9kh+8tB3inMnfqLW88OXM37EchJmOb9jGHVKHRvMJ9Gh11JAGJ7xB1sYOdzBypFORgqk0rfc64NuGxcPIUTK5NAOiPE3qL34YPKvZYBnHrZlqBDCx+qlyb1SsGlNvHXd/XK8+6ZQcsmdAABg6vVMozp3Qq1lT+hqZcoyGkVJTq0QfLG+WOu6++d7tyHCDIQIU+rYYiC5nOUDKbWeGxg7+uNPl3ND202tNnehKglOkJsgxCx1FSMb4fTye1qX3vYXhBGCpq4UGrXMSUOtzhhadaaaH31GV89mbtyXfGGEVlcCjm0ZEKInGrXMyUCk87po86rfcHk4+m4P42W8OxbqVAujz0WaV90XblrxVkxYnySnV0GX7xabej2LMCMIUrSbEfwpCDGDWT5oNCqThZljP8yMvvCNRjVz3HGsyyaO9rKgTxNWPCxN7F8Za1n7Hn+kdZMc774JAIAso5FvVDMnGrXMCaNRnjCNRlHwxXpDib7bYq3r7hcDyWWEcIGzz5g6gi/WR1gpqtULwxMnHvvTcnbw5/N8TOcbA2aEIOGk6LzDfK4zijDhw8n+O4Pxnpu9DAvrbhwXL3GEEEJ/uH1pINK2Zf4/IukV9zq20TD0egYizBDC+THDByFAqFaa3KvVC8Pud4cYEVbylL0WfZ8RIpwc674x3hZ8XyS94q2aUhytFcefx4Tzi3JyuSur6pI7ckKgyWsLW1yAh+Fljwx3QFfLE7GWNe8MJfvvkuSmNZgwwtTpHX+bnzz4H6ah5APRrm0AnLWKLgSXaHB+Dr04UMDw/lSqc8tvUepYCBHOC2ZpFJz/WV8qvAqO54cOPvzhQLjN7YcOJJbJ8e6bQrj/Li8AB+uliT1u6fOS2zEmgiinVyJEBOC2dRYBhEiQot2sIDdBhDmGFSO6WpnOTuz71tzYC99QyjOHLsUhcQmSKfWqzsLhZP+d4eSSO17+NyB0OV4gcmxLU6vZE5dzX6jjmOXs4BPV/MjTFFCKEOEQIrwnMy9ihguEEn13EFaKQIS5y+X+8NbnQcLwf1aYPvKfkaYV98rRzhtYXk4TVoy4VXiE4wS5mTB8MNmx8cOx5tXvQJgRGd6fYDgp5ra3WJqhVi8oo3kxmHo9BwB4AmHmmez4vgf9kfZrI00r7vWFWtb7w20bEcIspY6tVOaOFqaP/aBemT7kWKYSSvTdHk4vezMvRboquaHtU6d3/K1tqiVMOF+0yV2nJTm9WvDHeyFEjKFVp+dGX/h6furwQ5qSH7wYgSAb4ENL3rv6E1I60EkdaqvZ+lR1vHwqtjo1ZamWQm3HcizHpJQ6CCMGs5jDHBGbb+xMiQlfqxARk1La30kERhITvtbiieweSzUVvaxetnH8eoPtzsXtDCsdzozvfTDavOq+QKR9KyvIaTnWfZMb/Dc1xzbqjm1qjmPrrqHoWKbRKHJiqI1hpajXWnrG2QCA2oZWmdOU4khx9viPS5mBR3WlNHbxvRQiTgi1uH/D1Oh7DwAAIABJREFULCcEWyHCRKnMHs1PH/l+vTS1X61lT9qmVnX5tQzFtgzF5V7wzgAguhQelisFb+6OYob7y9zUwe9GUsveJMe6b2YFuSkQbtuCCecDEGLHNtVwevk9vnDrRkApRZgVODHYRlgh6HLJOY7jWCphhDDD+WJnqjwoAEpl9khh+ujDucmD/6Gr5cnLqeB4KWxLVyCEP60VJ/b4Qi3rPfXWjSwfSPOJSCcAFDi22bAtQ3EcS6OObbjqT7Zpm1qZk0IdhJUiCGH2rHQxdSi1LUOrzqj13OnizPH/LmdPP26olSnnAmOnjmPViuO7WM4XR5gRISIsQpiFmHAIYQ4iwnpVtG7Fh6v2AvVGedIyGgtyrBlOigWiHVshwhwAXu8gIwQpdWyJSa+G0LWBvO9BGU6KSXLzunneHegGEhemknTeL0kd22upIawQbFt6+xcgxIThfQnHsY1099bfTnZs+ohjGw3bMuoMK0VZQW52Py+GPP6iRQd4GE6KeSpgTrztmvclOzZ9iHBSjDBCCCHMOLalByLt15p6Paer5UkpkFw+T/RMbUu7WDmBbWqVcnbwCUlOrYIIM67dglnvTw4h4j2/+Wpo916rtezAPN/KlYJlqBWEyYPlzOnH5VjPTZH0sre4bTWJpf5I22YIMQsAdeRo5zaW9yUdxzERwizD+ROcGGy1Lb0GIcKWqZYJ4WWGk2KYEWQIAGQFmRiN8mSlMPJMZmzPNxrlmcP2JQZdTUMtAQocAFx7GrhiDS+Ct75QQKlzxlmHEAGAsG1q1erLVO5fKhBmeMJKkcbsyUcghIiwUoRhxQjhpBjL+ZMMH0gKLkEwdtVzL1+5ax6mrhQQwg+Ws4NPBKKd10fSK+4R/LEljPteBucr3AEAQAqmV3esuPtLlDo2hIhghg/Mcz45jqnpamni5XyhxY+vnoMQ/qiSH94xN7r7/4SSS+6UYz03C1Kki3BSLJxaercc677J5SOF0OOTk9Ra5kS1OLbLF2pen+q69pNSsGkNw0pRTLgARIiYWm2unD3988L00f90aS2q05frd0KMGblvzT3R9ds+bSnVWWpZmm1oVcSwEqCUIpbzQUxYxLB+s16ZQoSVzGpxFAtSRC9kTtVGTzzCBiIdvrbeW9CJ/f8O3OTfovBrHeAB4MzkLQAAnkCIPC34o72SnF4tyelVYiC5whdqWR+M99zsZsLdYI4nrajZlqGo9fyQqdVmDK06O7+ZKuXZw41a5oSXqb8oWI+fB0KIBF98Sb00uXdudPfXdKU42qhlTuqN8vi55yIuqTIAwI3Ou4v0q4f5CigAwH8gTP6Tl6LdYiCxXPBFuxnOF2c4X4zl/alwsv8uwokRjDmflxGCgFLbcUzNsS3Ntg1FKU8fUOuFIaU8daCSG97uVX1c0cUBAAAso1EGAOyECD/HS5EuSU6tcp9zaqUkp1YFoh3XE4b3uxOfsPPymbZlKJpSHDa06pyh1WZNrTqr1vODSmXmcKM6d3QhrOqGVpmeHXrm74VAchlheJkwQhAzfND7M4AJ58OE9bmLqEtAWi9P7Xcc86LnZjgp5hkcAID5djDCzasonAtfsGkNAJTOG4Hun4trbbFtswEAoJgRgh0r7/67eaNM8EV7QoneW6nj2LalVRBmxPlSbFYINmO8cHLil4IwQghj1icGEsuXbHjPQ5gR5LMEhJQmOzZ+SAokV5i6kvWFWza4/+vYF+NJqOSGtk8NPPVXDO9LYO/5uM9GCBLC+RFhfZiwEnWr6BzLaBSVyuzhxX6Pl8Jbg2YBAA8jhH/ESeEOMZBcLvhivSznSxBvPgUTS25nWDHirUMshAhRx7Ecx9Id29Ic21CU6uxRrV4YViozhyq5oe1KefrAhQz6l4NtalXHNpX5awHbaGhKcVRXSxOGVpu1Tb0GIIAcLzdxYqiNFQIpTG0LE87XqGVO1koTey7nniBMeMEf79eUwgil1JmfN4SVPE4iX4IwvOxmcAxlnsTxcuFVDD4PIdzN8IGkJKdWiYHkcimQXM6JwVbCihHCimFWCLYgCXtODvQqfShVytMHdbV8WQGeeXhr/gQAYAJh5oe+UPO6YKz75kC06wZ/qOUaSU6t8gXTqymlDqCODbyMlqFWZgAFTrJj44fEQGIpL0V7MGYEACE09Xq2khveUcoMPFbJDW/XlMLoQsfDR4Sk3B1ZqczURiEEUO6OrIytSd+AeSKq2fqUEJOaLNWqW6pZRwzm9LKacwxbMxWzpsxURyqjpRNGTS/pZS0nRMW0vy3YX5+uDWv5xq9F9c75YBpKEQCwHUL0NCcGW/2h1o2inFop+GO9nBBqdd9zIchgwntVnZR357xmm2pZqys5z/aYNbTarNYojjYqs0ca1cyJl6vSOB88kp4zypzJjs0fyU7s/9bcyPP/qDfKk6ZRz3lqoyZ1zu7Pgi9y7kngORV2rzpsU68DAA4DAA5jwv2d4I/1if7EUlaQm719MsYKcpMUSK4grBTGhPVBhDnocsk5jmMZ1LY0x7FUvVEaN9TKVKOWPVUvTe6r5Ie3u0mcV4YcfL7iGADwKETocV4Md/jDbZskObWC90V7OSHYwvC+OGGEEMKE8xJplDqO6TimZhlKwdTqWUOvzZpuMnBWVQrDjcrskUYte2qhwX3P9voywuQfMOEkTDg/JnwAM5xMXFvFjzHnQ4SREGbchB4EUK3lBhrVzIKC+oZWm50bff5rLO9PcWK4Yz6YM9+Kcu5nvaJa3zxfoGObmlKdO9aoZU9e0g1+yXcMJfuypl7PEVaMcGKodf5nGCPhQpURmOHlxRD4ngsIAHCrPCH2BdNrXvpzhAkXSi65I3SehIreKE1cbK8z9XoeQvgRhBnBu3d+NznGB1xlWs6PMCthwooQEc4TRnAquZGnLUu/rNbq88ELfowBAP4vRPibvBjqEOXUcl4Md7jzUooxfCDNS5FOhvPFMOFll8vSXUuoYxsMJ8Ud29Iso1FoVDPH1Hp+WKnMHKzmR3Yqldmji+X7U2uZk7Xi+G5/uHUTgAhZulIw9NqcqdUypl7PWqZasi1D8dqODEptgzqODRFmIMKsbWrlwsyRhxd9czxhDQBckZRIevk9kdSyt7h2q16zbVMBLn8j9tSpWOo4lm0bda2ev2C17aXCsxPHAABjCJPvun5dcrkkJ5cLvlgfw/kShBXD3hHxfFZvzrpz2NRqs9X86DNXclzz8NbIMgBgLwBgL2GEr/jDbZvkWOcN81LpLB9ogujsGiIGksu617ztay8+j2M3qnPHSnMDPytlTj1aL07sse2L+1oLBcKEwyzn1wtzx41yYQQxrAgRIo5pKFa9Mk1t20QsKzmmodiaWoYYc4jlfebUyE6ppftGzIlBU6nOAITI5SYuf+0DPOfCi9wdBwAcR5h8nzBiGBNWcqPfmHXL1iByXzXHoo5jelk2xbaMumMbjcU5U2rJneQQhZJ9t2OGl6v54R0QYZbl/AmMOUmSU6aXoQOCPy7hM5LTrtN5Ze/EwuEt3icAACfcQkLCIsyImLASxqyEMCO4wR2IIATQzSxRG1DHchzbdGxDsUy1Ypt69ZUI7LwU1LFt4PFFIET+i7CC94wJCxHmEMSM2+dKKaXUnldsciyjYduG4rVJXFKE1zLUCgDgm27mBLMIEw6iMxkxDrnVQYxL+ue+X7pamXTOw+WBCMPhQCANIYTY51cqhZGdEyce/9NYy+p3IswuqGSTAkp1pThamD76A8cN1FwydKUwUs2P7MSEDzSqc8frpal9WqM4gjAR/KG2Tf5w22ZODLZiL/sBIWa8d2HRa45az52uFSeeZ3hfEkJMbNtQIMTEvXeIsHwgHWla+bb5fmVKqWOo1RlTr2UudN5GNXMSQjTgZru8Z4IJN5/5gmczlhgACKljauoV3lzn4a0fg97hBewYAWNWwoSTECYC9N7Rl8wnN6Nrmw3bVCuWqZUvZz7VCmPP5SYPfocTgq3F2RP/XS9P7TMNpeCW3xoN6mWPEGF9hPABNL9OQsxYplpeXA+8pdcK47tYPpBSa9mBRi1zXFOKI45tNBjOn+QEuYkVgs0M50vghmeoIoYvZ08/7lzBDRqAFwXdZiFEj2HCBTDD+b0qIh4izHol1Gg+9weA67zYpnZZfdPng+egPYcQ3sOM7f0X3hftCUTat/pCzesFX6yHMELQnV+IIawUSXZu+igArnFsW3pNrWVPljKnflqaO/VTtZ4btAy1eKm95UJETKrZ+hTEbpZTzdQn9JKahQQx1dHScT4kxC3VbNiGrYpxX4syWx0FECJlujqMCGLVfGOG9bGyqRhVxCAeZ+oTar4xYyrGFb9frzd4c3UMADCGEH7Yc8j8boCccJ7qznww23HtD9t0bFN1HRBDsW2z4e1vi7m+VckP75Bj3TdBhFneF+lq7rvxc5bRKNqWUbNtQ6XUMQGlzsptnzyzrvRtvJ+f56igjm3ar4CDuBh4wa0D3gEQJqy7jrrJFE/1iQFgfh0FFFDHptSx3Oy4pTuWUbcMtWTbF0/iXEl4rVtDAIAhhAmLCS+7jjoz75Cfk5hxHOpQy1XyMRq2ZSiendK4nPXfa7HQwRUW73DPbeoIk+/VS1P7MOEDF2uhPhfU8RTeVJdcerGoFsaeO/bs19+AMSsgzEgIMwJ1bMO1KRDGhPWxvNzEicFWTgy1s4KcJoTzq/XCsKFV5y7n2nqjPDG0/6EPsILc7CX5zkkq8TJmOD/CjIgxI0DECNjlthIMrTZXyY/sWMhzfUmr1KKrja40vPVpyDsAQphATHiMOQkT1u/uYYR1+WYgclUY59c7x6bUNmzLUGxTrdiWXrvcgKuulicH9333fQzvSwCAkGMbDdefMxuObapexdwlkwYvFEp19sip3d+8lxXkJkJ4v+NYhm2qZcvSa9QV3DhTSe21jGMIEaaOY6n13BWR0j4fzvXrEMI/wAwfQJgREWL4ecW8c1rIEIBuhMe2DEWt5c6rznelYZlqBQDwGMJkO2HFCMOKYU4ItYpyahUnBlsZVgwTRgxhRghBCJFlqmW1lj1ZLYw+Wy9PH9Ab5cnLbbM9HyDGDBMItVLbNo1qcczf1veGxuzY80QKpMxaaRKxvN9S61ngOLZRLY1LTR3XGdXSKGJYqTE98mygZ+XblMnBp/Ri9pRjXh55N3yFEhJXcQngBLmpe+19Xw9EO7d5pZvUKwV03MkNXvSU3GybW16p1vNDg/u++95qYWz3azP6q3g1waeb10RufeMXISG8Oj7yTHnXM3/vqI0yhJi5lFAvBdShjmNdzFjoaGM6t2zgtvI8FJSGUx8ctgYOHjH2U+oSMAKvKou6xrED3SgfhohwvBTuFAOJZbwU6SSMEDK02lx2Yt+D8wp0lwq3MpsRCOFl1yjiZcwIQcLwspeVEhH22ngQIyBM+FJm4LFy5vRjr0bw8FcNCBEGQICo45iv1v2DCBMIEQbUcbyAtuMpkEEAATprVIB5vgDoVRW8IgbYLzMgwhhCRAgjhMRAop8Tgq2EFUKY4YOE8AEKqONlPE/UihMvmIaSv5zWktSmltuab+x8G3WoI8SkdGWkdBwASgNtoX5lpjribwv2FU9k91SGi8e4kBDjI0LK3xzsVjK1SaOqFxFGBLGILQ3kD3BBIR7qi64d+M6RL9enKpfV734VVwacGGxJtG/4TUlOrxR8sV5OCnUgxAgLEe4BAIBydujJE7v+5Y0LrVy+iqv4ZcFLxSbOtNK7G885ew51qGObV6qS6+x1XDEIOL+vnQl6nZl70HMLjFeqiuwqXjucpW6g9OrzXTy8Njt0Ln8ROMvRQD270noliZOJ5I8ntr7xi0TyJxqTwzv5eNPqxuzYbj6aWqFMDm0XmzqvdXS1yvhDLbaulvlocrkyNfIs5sWQXpg77u9a9iZAqZ3fu/1L9cmhHZc1liv0na7iMmBotbmRw//120Ig0e+T06t9oZYNYiC5DC2ARKtRnTt6KWX2V/H6BuKFoFUuTVDb0qlpqpAQ3nNuXxEHd8UyZtXWzdz1AABYqTrl67bw2z7+6cKHvB//giHvbU6Wdxz1jisCL8igeMdlkfhexcVxJTiwLgQmFGqVVq26zywURuxKZVqbmNjjBSB+IQjhbciv2Hv+akJatuwu7PPFbVUtayMjO+36+UkhIcaEiUZ7xP7+O6ltG9Xnn/8atc72+nvZUBsAMOcdrygKx7O7tZKaZXyszAWFGGIwh9mzPBr1qeoIpZRKaX8HxC5BtW3ZBhfgw2LC12LWjDIWiGRpVsOsGZWRH538ujJTHbnYda/iLCCCkPMxMuEwTx3qaBWjaF8hmXm9UZ6EEP6524Lotl6K/sTSefWii6GcHXyCLlIh8Squ4rXES53qM7wrALyiiY1zrvOyQCwrcG2tG/m+3ltwwJ+U1q5+TDlw6Puv5Liu4tXFQt6DXzYgQQj416+7nzrUbhw79l9WpfKKt1pDjBkkCDIAlFLTVB39xfQLlFIKEaKAY0VAKaWGUT+3pfhVgWObgDo2IowoNndeR23LEOLNawEAQEi0rAOUAshwkpqbPmwptdnayIlHiCBF2WCkS+5b/RuQYSVq24apVKYvdyhXAzy/BPDK/4YghMPlzOmfI8wIbskmF7iQOgwFlFqGWjT1+i9NCeZVvLJAHCtRQB0jlx1AHO9/pTkPDIMaTz+nbW9tJm0dbaST5+FlM/dfxZUBy2Mh2iZ2IwQxJ2F/NWfM5saVodd6XAsF5PmAuHz5m+1qdUafnj4EALgs3p7XC5hYrFfo67uNWpZm5fNDAIAXBXggIQwJBlul1as3SsuXvwVizADHceqHDn0XuDwdrwmMml4BABwEAACIEUIIEoghhuicDLfHpH+O5gt0s+OAuu3EAFCH2o7lGI5xNRt9qWAE4tvwQN9nIp3+pZZua3v+deBvAACHrtT5z+EkLEAIj5YzA4+/lBfl5eARQV+tlLyKq7gCQAIfIKFQi//6a+/k2ts2IYYRIcf57Gp1DgBwNcBzFa8psChGmHhiCUAQ6ePju8GroITJxGLd/o0bfhNxnF8dHtkJIfyPl9oQSBBCgeuv+xQAENZ2PffPr8a4zoWtqeW5nT/5A7cFmALgEXR7m6s7Vuo41LYN6tgGdRwHEYZPXPfGv2rMjr/AheJ9eik7QER/AnhUDYvF1QDPLxG8F1XzjgXJGV8MECIsCuHOaHjJ3QwjxTK5I9+t1a8cQexVvLqAhBGYgNxs5nOD1K2weEUdJL8P+d/5Num9uYKdFXkkXvw3ruLVQqxD7N32QPunbdMxEYaomjcyAIDPvtbjWjBs23QUJU9NU4X41Vffea3g6HrdaTSKkOMkAH+R5JxNJleE77jj89Q0Vez3JwEhnDk7e4SaV75ffLGgtuMAAC5ZxcPt4PR69gkimMWQUkAd82rlx0KAMMRSlE+ZDatuarYaavf3QgQPU+fKB8o8e+Rqu9WrBIggRAS5rdYQQOoAaptXTinnKl4/IIFAMnjHrZ9hotEeyHGSU69nod+XgAwjUGNxvIlXcRVXEsjniztqo0RisV5qXZ4s+oLhcTMhfyCJA4Hk+RNELik1CYfbkSCGwKsc4DmHDHrBcCxTS93wJovatl6fHHxKTLVv5iLJZQCAZy9nLFcDPL+iQAgzDBHD8eiy6+Ox5fdSSqkghDoaWv40cJUmruJ1CUrNamXaVupZJhLtBhfTAL9M1GpOdXDYGqjVnaquW3pTGre8ktcDAACEIBQFKGIMSK1OqzwPhWQcp1gWsA2VNvIFJ9doOL/WRg5mEGlZ6uf9ETZRzmhTrIh94TTPYwYxtum8Lpxls1gcLfzoR78DGUa0G41F8TK9HqEcPvyQOjj4JMSYtYrFX2ivdXS9atfrWWrbhpHJnNBnZg4bU1P7qa7XX4vxLgSIIMKHhQSAEDmmo1PbsQCECGKIXe4dzDMSE0hubI5zISHOynwEIYixwPgcw9YYif0nUzEWLQf66wLHphbCkJQm60NikItxPkb26qWuVkK9zhFq8XV3XZ+6y9JtNdji67YMWyMc/ryl21eDbL9moI5jkWCwBTIMDyFEOOBPOQ21qE+c3q8cOPTd13p8V3EVxO9POIapAts2qXF5ZMALBoQQ+/0Ju17LgJeRpndUrVzZufMrkBDOVpTztr//soEIUiR1873NttYomrXSZHXo6A8hRItSOH7Rea/E4K7ilwsMI4ab05vf55OSKwU+1GFZWoVhhRCCiPllNQPZSLTTqlVnISE84ng/tSxDaO+8jgmF24187nRjaODnjnFhuesLARLC8U0t69hYfAlkGMHIzB3Tpib3OcZZKVksSRFf/4q36LPTB/W5mSPUvjAhKSMHm7mmlnXEH0hBQjizXJrQJsaet2pnVRYgxoSNRLuxP5Citm3yTS3rrFp11iwVx8x8btBWG5dWqUUBdTStAhEiiONlcJ5FAGLCsInkMj7dvA77/AmrWp7SJsZ3m8X88KWS0VIAaC5vZxsqbRgGNc5t0cIYIuq4LLgXOkcyjpPXrOM2AQDAk09rj18oOBOP4fhH3+9/+9IlzPKBIfPU7r36c3ffIdyDEcQYA7ysn11x/KRxdOVy9lvHT5pHbfu1U5B7rUBYxG58a/oBTiR+Sik1GnZdlJlwuEnouO23Ov/nGz7SqZ58Nv+zqePVAwAAEIhxyVSPb3m4WejQ6lb1yOPZh68UbwdEEIabhPZkl7QslOJbcuONwcEXik85C3guHp/M+Pl+hjhOwpIUtRUlT2S5mYTDHQAhZJXLE2Y2O0CtV5Yf6JWE3WiUwQUyPFahMJz/wQ8+SU1Tvdh8hRBCxHF+JAhBu9EokFCojYTD7YBSxyoWR818fojai1NWuhSIcV9L//2rP4tYwluapVDHcYjASLZmqURkfJjBnBCXmh3d1tRiY44PCbHc4bnnCscyu1pv6XoH4YkEALga4LkIbMPWh3bM/HesR15harZSGK6ecBvfruL1jnC7vy+9KrK5NF4bVMtGoWl1ZIsU5hMAgMtSjPpVA0QIIUEIkki4w5idPQYcarPN6dVsOr0KUOrYtdqcMTV9yK7W5l6vLaB2vZ7nuzu/yqZSy81cbtAqlSfsUmnSMa6sWuRV/PqCicV6mHi8D4tixKpUpo3Z2SN2rXaG7oPIcorr6NhKgsEWu1ye0qcm95n5whnOPCSJERIKtdiKkju3ggcihJhEop9ra9uEWEY0c7lBfWJyj60oRQBcnwiJYtjRtAoTiXSSSKSLCYc7tNHRZ43p6UMXmrPUMjVtdGwXhBACBLG0etXb9InJvXalMj3vr0GWFdlEYikOys3q6cEnAABZxPN+NpFYigP+JPb542Y+P2TMzByeH9NrCcwJgej6Gz5FBCmq5+eOQczwUnPTaqOUvWw1sqsBnl9BIMTw4VDXLa60KqUs64s7jqmWKuPPlCqjO17r8Z0PXKpptbxhy0cRzweJX05R29IBhMiqVqaFrt5b+Nb2a9lo7BsAIix2dm8jcrAFUMcBCDOIZUV9duZwY2jgcbNcepE8M8SYsLFEf+i6G98k9fbfgVhWMvK501wivVLo7LlZ7Oh+Upsc3+1Ypk78gZS8YfOH9bmZI7ai5OX1G09rkxN7SDDYykZivZBlhfKzO/4OYMyIXb23+Fev60cc74eEcJBhJSSKUf/yVfeJXT3fUEeHd1LHsX39y9/MhCOdACEGC2IIiVKEhMIdRA62BNasfx+Rg1+0KuVfINPCghBEvBBEDCuyieQysWfJ7dr05F4SkFngOBYJhtuZcLTr3BYPCCFkovHe8I1veBcTCncIHV032Eo9azeUQmDthge0yfEXuHTz94y5maMLDfQwDGQNgxqTU9Z4Xy+zVBSg+I57pXevXMau/vY3ot11hdY+8n7/CwePGPuPnzSPKOcEb6IRHL3vLeI7vvql8K3lMi3FYyhx603CHZ/+RGBkZMwaOn7KPHZ6yHzRItbZTrrDYRSVJOh719uk+7dt5W/evVd/7vSQMXDX7eKbl/SSpT1dpG/DOm7T//xi+XMAgJ0vHTPPQ76zjXRds47b1N/LLI3HcCKbt7OHjxoH9h4wXhibsEYsi77o+wf8KNDVQbpvvUm4c9M13JZqzameOm2eePZ5fcfAkHmqUHTyvyzBJEwQE2uX+o5vz/1364rAhrnh+ola0chBCKAvwsblBN9cLxk5AMCBZI9v6Za3N98Xaxd7BT8TUspGvnV54Jpl22LbpRAbmzlVOzRzunbk3IAM7yP+1hXyBttyzESn1J/s9i2dG6qfqOaM2WpOn81PNIYaFbMEAABd60PXL9kauT3eIfUhDHHrSnNj+2p5c//10b2BKJca2lPcUZhSz0sCz8TjPYGNGz8ICRH0mZmDtRde+FcAAAhs2vSh+LvffRcShIBdr+eoYSiOplXZdHoVtSzdzGROMrHYP1r5/BCllIp9fbcEtmz5mKPrdXVoaLty6NBD5waDmXC4LbB16yexzxfTp6YO1Pfu/aatqmWIEMaBQJLv7LxB6Om5CWJM9MnJfdrQ0A6zWBx1dF2BEEK+p+cm/9q1767t3fugmc8POY1GgQIAEM8HIMasXa/ngOPYTDzeJ/b338nEYn2AUsfM5QZsRclbpdKEMTt7xFaUIkQI+lavfgebTq/CPl+s9OSTf23mcmf6rCEhDBONtgs9PW8QenpuSr7//fD/sfeeUXYd55VohVMnn5tT33s7526g0cgAQQJgjqIkShRF2rJs2ZLt0dh+1ozXm/F7fvby2G9m/MZhPDO2xrJlS7IsWw6KlMRMggQJEjkDjc7x5nxPrqr3o7tBkCIl2aI0Yy/ttfoXzrmnqk6hTtX+vm9vZ2XltHXt2rNePn+JWVb9xg1Q8PDhf6v09x/czIJitt3gvu9I6fQ25jhNZ2XlDIlEPulXq4s/yMOOktQ6GeXULrSW5LCSNMv2MuAQVK8WT6pxLWOV2qtiSI7SDcj5AAAgAElEQVRR27cwwaJVNtdCA9GJ1nJ95jvZpEOEsKRFevRwdicSRK22duWbohLMQAixWc+dp/4P18L6fzWoxzwI4d9fe3blHyCCAqPc+0GUZ/0IP3xwxlmk1xjhjDOr7lbkoBhRwmIM/JAIHihgglQtgiRRB5xzZtt1Ztm170YQQ4wFpMhBJMkGELAIOGfMsurMtGqcvn3pJUQII0UJIlkKAEJkQKnHbKfJLKv6dgQ+1tRw7Mcf/UPSkRwHjLPaN574dXmg7yAOGCl3ZfUsSXdsVYaH7qT1+nLr+MnPI0X5DLOsxndsPyESVpUwlCQdQIi551vMsurccZpvJ9CKJEnjlLqAUh9Kosb99VI6rGkxKIkaYMyn9cYa+z7Kap3Z+aNevnAFKUoIIiQgTYtChNY2924QIYx1PS7EY4NSd+duIRLuNs9d/IpXLE6tC9A6Le79kEpnfoS3RXJv111Gb2RL9VL+WPVi/lVG33rvLRpSiBhSyKlYBd/+wZXhQYwFZWT4bm3bxFasaXEoCKIEu/eqY2P3Y13/bdpqleTu7j2hu+76iJTN7ECKEnJz+YvKyMg9+o7tT5jnL3yFeZ69EWxucN93OFsPGCJCZG1y23vU8fF3SZ2du6ll1WitvqSOj79L6u76C3dx6QQkhCiDg7eTZHJUGei/lVp2zS+XZkKDA7e2jh//jDaxFZJYfIh7bhsbgQ53be28eenS48xxWlAgMnedljw0dAdttYrccdv6jh2PuWur50g8PuVXKnPYMIJSf/8hrKoRv1yZg4TU1bGxu9ThobuQpsWgKGruyuppkkqOQYz/5DutUf+k8YUIYlkJQ4QIo9ThvmdzuvH/ECEMERYhFkRERE0MRno7bn/oY0QPZloLU09z37eZ55rMtesAYfL9tuVHBM+/QLhuY20td/LPdS211bTK05ZdnbOs8jXPtyo/aGecfyqQrIT8ZiMHLbOq9PTf4qwtn7HmZ49wxinEWBSjsb7Y3Q/8J86Y7zdqK7TRXKOWWUGqGoEIITnbtVtKdWzFqvab1NxgiiGEUiY7Gbr58Cfc3Np5a27miJTObiex+BAzzQq1rVpg556f4oBzCOGLJBb3vHJpxpyeekqMJYYDO/Z8xNi+68NeqXjVXlw4JsXiAxwAENg6+Yg+PvGQW8xfBgBCJIo68zxTSnSM+436ijowfJezsnwKAFBHihLmjFNr+vJTJJYYUvsH75ASqXEAACCRaJ/aP3QHAOAzN44FCYYy2siW25AoalIqvU3KZHe45eK0nMnuFKPxIc6oy2y7ATijgL9+MCfhaK8xMfmIEAx1MtuqO6vLJwGECHDA/UZjFRtGKrTvwMdrx176H+B7FOYMBlBQEKDQ3SX03rRHurlWZ9V8keYuXfUuRMIoqihQfeAe9d3vvl996MtfN/+OEPgpz+M+AADs3y0d2LZV3NFs8gbGAJsmb6cSKOV5gjs4QIYfvE99KJnAn8gXaH7zeZqKNEmCEqWAYgEISyv+AoQA7tsj3WTo0PjMX7X/VNegsW2LuP2jH9Z/PhREZ2t1dv2AGDBQ4F33qPcN9gtDmob09ZIuWszl6eqPfUD/8MPv4Y/+5z+o/xYA4JXNe3q7Sd8v/KzxE+Oj4tZICEX6eoWBI0ed5x64R333zfvlQ2fPu6e+8aT1NULgy5t9+18JzjgjEpLTI/q28rI1E0krPZGM3FPPOyuzp2ovRbNKH6Pr7VR0IRRKyllRwZoWJjEtQmKpAX28VfGKWphE+3eFDn7td6/9n2BDvBdhiHc+0PGe1KC+pVl2CwN7wofLi9ZMOK109e+KHIx2Kn1nvpX7WwDA7wEAgB4h8UBc6sAEkkBcSgfiUjqclrvNhl9L9etjiV51GGH4fzHKv21TgwhRISEqbTZzYjw+DBFCnDGGA4GUPT9/VNuy5d1IFDW3XJ7llHrO4uJrfr2+rA4N3Rk6dOgT1See+A0AQN4rlWYhISqWJEPKZLbTRmMVAPDk9eeoahRiLNJ6fUVMpbbgQKADItSQe3r2yQMDt0sdHVtRIJBi7XZJ7uk5QKLRAXd19QxWlC8BCJtYVaNIlg11dPReIRzucZaWjnPPswFCWEynJ2rPPvs7EEIYvOWWX+KM+cx12xvkUVrq6torBIPZ5vHjnwYA/BlnjIduu63TbzbXhGi0H6tqFGwI6SFCZHVk5G5jz56PIEJkIRLpdVZXz8i9vTdLXV17vVzuYuPYsU8BAK7bimNNi1mzsy9qExPvg7bdYO12kTPGrNnZF5hl1ZWBgdvggQP/qvbMM/8RfI914RBjAUqixkzrbYmXN4OoooEERJyaXRJkorkNu2wV2ytWqb0iKIJGXWp7LbempYweM99alMNKsr3WnB/98PZ/79TsEvPZW6Zby3psIJrd9rCkBrMcAG7W1s4R2UhJaqjT9+w6AOD7jnL9c8MNjivfNmYQQUgUQTOSSraZM5cwwVKk1xjRonKSc86smluuzjen2hX7R8YM7yAQhkjSSVAJS4nGqjknB8VopMcYVkJijLrMNitOoTzfuOI0vW8jG4giqB1bInuy26M7mjlzefVc5RhEAKXGwjuH7sw+vP0D/XucltdYfK3wTKtk59/q+d8PIEJIiEZ6jZsPPKCMDN0pxCL9fqW26MzOvUjr9VUSiz3vVyrzb0V24ICR0CYnbiOp5KgQDnUhRQkDCKEzv3CMttslrOtfeiuXQCEUzGg7tx8W0x0T8sjQnVjXE87i0nFu2w13de2c3N97zFlcPsE9z3nj8wJprKsx7jht0pEaD7/r3t/2K5V5Z37xVSEc7pI6s7tYq1XklPqBQ7f8AhJFFYnif3ur7G+IEBa7OncZ+/fsknp7D8gDvbcw06q6q2vnmWVVnfnFV0ksdvTNfYcIIXmgf4/U07WXts0KiccG3OWVM9jQk9JA3y1YUcPc9x1r6tqzQij4l36tvgoRQkI41ElSqXGkqTEA163Rue00vWLpmpcvXLnRIREAACARZG37tg+QVHJUTKW2+PX6SuVLX/sEACAPIYQk3TGuTmx5t9zbc4CaZgUKghy86/Zfdddy57184QpEUBBTyWfcXP7K9zVBfoTvC+Gx5F45rmU4ZV5zrnIJvOk7jAQkGD2RsYFHtz8SHkvsnvrcqf8EAHj2B9UeIRrtM/bu/Wkvl7/kVapztFZdpK1WUQiGsgACKIRCWX33rjtYq1XwiqUp2m6XAUKYmWZFGRy8w8sXrgAAznLPNf1adQmrWhRsBI/EbHan2NExQWv1FQdC5FerC0iUdGZZNW3r1vf6xdI1TqmHRFEDnDPOmO/l85egIMheqTSt79z1Ia9UmqatVoEkk+PMNMtSV+du7nkWROjrJB73IMaEttsl2mzlhUikx2/UV7njtkkyMcKp7wCfuoBSl/u+AwVBggBAiJDg5guXoIAlMZvdgTUtzj3XEkKhLADgHXWhRpIciu+789eQQCTmOm3mexa12iXOOUMCUbCsRgRNTwCIBAgRQqJk+K36Cvc9k/meRe12ycrbdbde/r4dRt9xggchLGAkaggJMgecMeqZlLnmd4oeQgghQkTGiKgQIgIgAIz5NqVum30H202EMMFY1BAUZAAhZMx31p/39qw5xqIiinpKlkLdCGHSbhcuG3p6u6Ylxoigxhhz222zdLXeWHzZcRsrjH3nMp2N31QxIipEmADOGWWezZjXfrt7IUQIQSwy7jsAQIQgFhj3XYSIgrGoQYgESp2m7//TNBc45xwh/OVKdeZphAQZQIgY823O39gehAQJIUHinPkICTKESOCceZxRl3Hf+V76/k4BSZIBMSbrRE99DTBOxXhyFClK2M2tnfOqlXkhGMoiImp+o7EKOGdKT99BAADgjHl+rTIPAITa8Nj9EKG/4oxRKAiSvmXb+wU9kKJKfRkSorYvX/gqc52mNjR6HxIl3S3mr4iJ5Ki9OP8y932bROODSm//ISTJAYAQ9grFqdalC1/Gqhrzm42cGI0N6Fu2vd8rl6btxYVXhUCwg/u+41Ur89S2aoKuJ8RkeisH6/Pdya2dQwJR/GZzzW+3C/bSwquhmw7+EnPdtjl15ZskEu1HhMibkR6sqOHg7n2PSdmuPUiUdCRJulcpz1kz08+o/YO3W/OzL1KzXfSbjbycyW4HG8/BihI0JrbfSdutIkSY0HarQC2rwiyzigPBNBKIYs3PvCAmU1uMLdsexrIyR+3vfoBzXO6srNHlrizuuXDJO1epsnIyjlP33am8q1CihcVlOi+KvmQ73N69Q9p3ddq7AgB4DgAAPJ97psnbaw26OtRPhjtSOI0xEKo1Vl1epUu7d4j79u2SbkIQfvnGMq/xEbLF9bgHOOADvcJQfy8ZZJSzqRnvCgAAjg6T8UKR5ocGyci+3dIBAMA3AABAlqH06Pu0Dzz8Xu3R6VnvWrHI8ukOnF3N0ZX+XjL43BHr6XAIRSbGxW1gg+BJxHHizluVmykF/vFTzjEiQHL0VfiioUPj7Hl+StOgLopQfM8D6vstm5sAgBPv3Kz/p4H63D3zrfzf9u4IHaA+90UFa6EOpbOery2bNbdMRCTPnqq9BAAAZsOv+B5zc9Pti1deLH+rUXJy/bvCB0cPxe6rrdlLgYTUkR0P7AAAPAEAAMk+bWT0YOy+ds0r9+0M3bx6pXU22qn0KQEh5NnUctp+M5SSs5gggXrMb5bdAqOczp+pH2uW3Hy75pYm7kw8tOW2+LtbFa8Q6pA6E73aMADg0pv7wdkGQQkhAhBiiBABADhIkgwUCKQ3NgK62NExATEmbqFwVe7tvdmv11eESKRH7OzcASH8FiRkzZ6be0nu7b0ZSpIudXXthYLwHPd9D0mSpo6NDTLTLDPXbXvl8gxtNnMkkRgJHDjwce55tlepzBGEEIBQQKoa8ZvNvNjZuZu22yXz8uXHOaUegBD79foqDgY7lZGRe1i7XW6fP/8lwBhlllXTJibexyyrBgmRSSjUCRUlRFutPHOcJrPtuhAKdV3vt+/bEGMJMEYhITIA64cGKZudEDs6trhra+cgQthvNnNIlgPMcVp+tboAMCbGnj0/hSTpPzJnvbQUqWoIiqIKKPWRogTFjo5t6+tW4QqJxQb9SmVWTKW2iqnUFvAdBPsgESSIMQEccCEWzYiZ9CQA4Ivf65zEsqApSb1TCisJwDgVDTGMZUFtLTdmgv2RLdT2TeYzzyqZq2pS7xJUYhBdDCZ2pG+d+/rVT1OHvuU324h07VUDiVGIBck1GysICTLCRBEkLf69ujv9S4ISkiJj93X9eLhbH5QDYvjcP8z96dLJ4guccS4HxfC+j4z8fGI4OBnMaD3Lp0sv6XEl4zvUxARL0T5jFAAAasvtuS0P9nxl6unlv3dN/y33GIKIRaND7UqNhXfF+gPjckCM+C61185VjuUuVU40ctYS85mPCSLbHxn4uBoW49eeW/1yY81ccNt+07N9C2GIBFlQiYxV1/RbnuVfP2QjjLASFmPpiej+9ER0nxwg4eK1+rncherxykJzyml59Rszk2L9wTFMkGhW7EK4Wx8yq24RYSj03JS6K9ihdjstrz719PI/lKYb532XuhBBKEhYIQpWEUbCppkJo9x3Tb/lv818A2CdJJMNEkoMhyazO+OH9IScri23Z9bOVV4tTdcv2A2vemMU3kiqmcO/PPGJYEbrU8JSbPVc+ZVgWut1W15dCojhSI8x7Nm+WZltXu4/mP7i/LH8U9R9XTy5c2fsYHI0vBMACJSgFIn2G2MIQWyW7bwRV9ICQWLH1ui+xpq5AAC4TvAIIpa0uNyR3hrZ27E1uk+LyslGrr1YmmlcXDtXOdYqWmtv936v91UQRGVk6Daxu2uPEA51iumOCb9WWwKeZ4rZzA5PECQjHh+0rs08DzF+ejObB0IISUdqPHDw5kdoq10C63oXZe77jpvLX5IHB24lseiAmMlMIln+d8y2m+tji5DU3bU38v73/ooQDKQBgADregIAzhEhCjKMFA4GM+qW8QetK1efxLr2P2nrdR0NSIjs5YtXvXJ5VvWpg2TJ8Gv1ZSgShTNG7dm5F2m5Ok8yHRPc9drqxNb32jNzLwEAjt7YbyTLhr5/76P6np0fApwzpGkxKAgSgBDigJHEuhaTurv20u0TDzdfeuWTEKEnrmc9c86BgCUhFu1nplUTu7K7lPHRB9zlldO0WltqnzjzBbEzs13fu/snxUx6mzo2+jl9356s1JnZsS6Yn7vAKfNxwEhJPd37aatV8NZyF7Cm/dEbSkb4erkJs+y6efHy41Jv9z4kiToAIA8QwlJnZocyOHAbZ4wCCCEUsMgsq4p1PeGtrp1Xtmx9kKSSo1AQfvmfc0nzP3dwynwsC6oUVhIAvdFUITgQmxj96N7HlISe1bPBAd/yWkhAP9DECyTLQXd17Zy7snIGcM7My5e/wSn1saIEOWO+tnvyYWVw6HbOGG28eOS/2lPXnhYzmR3B22//d9z3bGV09D6I8UV91y4dUOpyxnywno0XiNx//4+RjtS4X60u1p586j/45fKMtnPnh7SJiYeYbTfk/r6D1rXp56Ak6RAjwtpmyZmbO0oS8WESjw+6+dxFKAgSbdRXabORU/r7D/mN5hoOBtI4YHQACBEHAHil0gwEEJrT156DApFIIjHilYrTWDcSzGxXIEICkiWDU9/hlDr2/PzLWFHC1LKqSrOZF9OZSdpqFZAsB97x8SWiqmX6bqau3WxOX/gSVvWEnMzu5L5nMerb1GqXBNVI1q6c+gLCRPbMZj48uvPHkSgZWFajfqu+CiFEdnHt3PfblndsIkGIkCwFsqnEtlsjoYE7FDU2ZFnlmUZz5bhpFi6Lon7SdVvfZvGKMVGCge6dmhofDRjZ3RBiIopaslaff8F26suSaDztuM38G58FoaYmRhPxrdvDwb7DwUB2r+fbNdMsXrHs6lw41PdKq50763nfrm8SjQzek07t+hmJGCmIsOQ4jRUAALCd2oIkBbKKHOl13VY+ERt/KF88/zcICV9j7K3THAVB0g09szPTsXt7NDx0tyyHetvt/HnHba41W6undD11wjRLU4y9kZkXsGREI0P3MebbGIu6IMgB0yxNBYNdNxl6ZicAAJhW6Zqhd3y23S5cYJxSQZANRY70i6KW2LBOh5wzz3WbOcuuzFD6RlILQiylEtse07TEuKrGhxvN5RPzi8//NgCgCSGEshTqioYHJwy9Y5Jx6qpKbIQISrhtFi87bn3Z992mSLTHXa/9QxE/RaJoQFFUIUYEUOZZi3NHzempp8Vkx9bgrn0/4xbzl7xyaRobgQ5AfYeaZrl69PmnsayEArv2fgSrWsxanH9FjCdHhWAoCwBYIJHYAFa0iJtfOy+m0hPtKxcfdwq5CxBjkVPfEYKhTq9SmiahcDeAEHFKXWq2S36ttsRcp0lbzTw1zQrgnNNWK+8W8hfFRGrMWV053Tx3+q9JJNKLdT1Ze/nFP6SWWQGcU1cQFGth7ih33RYAADiry6fWU5HVKAlH+pAo6YisZ+a0Lp3/EmDUEwKhLABgGgAAlO7eA8z1zPqrL/+x0t1zAOuBVOPEsU+5xcJVe2XppJzObF8X4At3YU1PbI6flOncpY9PvI/7vk0dp8mp7zROvvpntNUsCIFgOnzw9n9vTO78kF+vL5NYbJBEo/0AgFPf7b1Qn1OGAWs0ed1xqT2/4M8+9C71A709Qr8kQblteq2nnrO+Va+z2u4dbN+eHdI+RUHHLItZuQLNSSKU8wV69cln7W8WijS3e4e47xd+1viEZXGz1eLNsRGy5ZkX7CcBANe1kBpN1qjVWS0URKHOrND9jaesr54+657cMSnu2jkp7l5YovOUcr9YooUd26TdggCf8H1O+3vIwHseUN9/4rT72osv289HIyjWbLNmocjyZ867Jz2P+9u3iTvrjfWMH0WG8gce0h7ACGBZhsrisr8Qi+L41LR3dWyEjHd3Cb1HjzlHTp1xj9+0V7rlsYe1D6sKumha7A1lIUgQFcmI9ADOgdMsz7C3EX97p0B9RiGCL3RtDeyWNGy0q24RcACKC+a16Verz0EEke+tZ0TUcvbyy3+99MeNkptz2n4TIojrOWc5EJc6Vi43T8+frh3tGNS3gg2CJ9atDooKVguz7SuFufZVJSCEjnx24Q+aJTenBEh4cH/kDixAAUKAAAAgN92++MJnF36/tuYs+Q61kIAI4IDvuD/12Nzp2lFRQkpmxJgEb0HwQIQwNowUYIxyxjzO+eYGmnLft2mzmSex2ED7xInP2AsLx/Tt2x/Fuh6HGBMoCJLS13fIunr1Kea6ljI4+Irc03NATKW2IlkOYk1LAABWSDTaJ6ZS48xxWsx127TZzDPPM9Wurr1QFDXmOE3AOas9//zvslarGDhw4F9hXU/Ys7Mv4mAwCwCA3PdtIRLpEZPJUawoIdpo5Kzp6WepaZb9en2FmWZFTKXGsapGaKtVpK1Wvv7kk79BG401iJAg9/TcBEVRu95vQZCFQKADEiKDjdRmHAiktYmJhzYPEcz3Hev06S9wz7PVsbEHWLtdou12Scxmdyr9/YcBAI8DsE6ScUpd2mzmhHC4q/byy3/sFYvXjD17fgpQ6kFBkJAk6XJf3y3gLQgeCCEUYtE+ZXBgkCSTowBBhHU9wX3/H1VaUDqz9oLXdKpQQAJzmcM86jCPusxn3tKzM1/0mm7Vs7wW95grR5VU5x39H1Siaqo2VT7t1u3yJlH9ZiiB5BjjzLcqy+cBZ74gqRFZj/YTUYv+Y9r3LwWyQcJaTE6VrtXP9+xP3pUcDe1YPlV6EQBAlaAYlQwSyl+unQx16v0Dh9IP5i5VT7htvwmg36qvoLnqYuuaqArG2H1djwkSVgQJ/8WbyQ45IIaG78zeH+kxhrGIJEY5pR5z7bpb7rsldd+2h/t+7sTnrv0eJuhJiCFOb4vsFxVBFxRBIzJWyrPNy5nJ6Kv9h9IJSSfBrj3x2+eO5r+JEPwiY5wRWVA6d8X2d+1O3Dp6T+ejWERidaF1DSKIUmPh3bWl9szCq/mnIYLHNkkeTKC4/2Ojv1Zfac8lRkLbmcdcurHGrZ6rHIv2GWP3/PquT53+4swfa1H5K6nxcE/X7sSt4S590LNoG0IAtZicAhDAlVOll0IZ7au1lfa3RW4xQSQ1Fp7s3BU/PHJ35yNGUsnWV9pzCEEc7TVG2wV7delk8QiR8fOevT5ugQ6li/ncL07Vzw7flf1A34HUffmrtdOu6TcZ5X6ZcVaea1wOprWe7Y/0fRwigJCAvsk2dNCUoBQFAHDqUteqO2UsIAIAAK2yk1s4ln+qsWYuQgQxgK8bKqhhKbbt4b7Heg+k7kEICrHB4BbmM5+f4kf6bu6416w6pfzl6slYf+DPSzONy287nwb6Dhq3HPi4X6sve/nCFdY2K0Is2i+EghlOmc+DVsbNFy7ru3f8GK1WFgAAVwAAAIeCmcCtB38Za1rMr1QX/EplXojHBzllvtjRsZU7TrPx3JHfU7dteS+SxOv6WkIs2q/t2fkTtNnM0Xp9hcTjg0IiPgzgurCws7x8itZqS0jVosrYyL3McVuQkE/emMmzHqmn3kYpGROCwQyIRHqggCUvV7iEVCUMCVH9SmVB6uneq4yP3AtuIHigIBB1Ysu9cm/3Te7K6jmIEJZ6uvcjWQ4w22n6ldoid522XyrPiJ3ZHYHbDn3CrzdWwKY5ybrumQ4AhFAkKqDUgwhhZtsNd2XtHEklRiHGYuvV458mifhI6N47f4M5TtOZXzzGXddEmhYDjPnMthvm+QtfRpIckPp6bqLNZh4i9Geb2UKcMZ/bThMGjA5m2wsQIQLQxuGfMco933Zz+Uvu4tJxIRLugYTIJB4bwrFIn8z7mV8sXSOZ9DYxnZoAAJz8nhaYH+Edx+w/XPgjQRZUzjnzmu4bsneggIgYlKPM9e3q5cLx6uXC8drV4nfdl/9TASGEUm+vCBASxGx2h3X16hOb2jXUsupCIJASgoGMVypNI1kO+tXaIvM8B0nSee44TeY6LZJMjECEMBJFDcqSsW6lgAkJh7s5pZ5frswz06z49foy8zxH6uo6o01sfS+nvkuSyTF7euYIEokCEMJeqTRtXrnyTby0dCJ4+PC/EYLBDG22Cn6tvuwsLr4KGPPFTGYSElHFupEAYD0IDomguKtr55zFpeNIVSPy4OAd3PcdTqnnrjinue87zHYa3PMtAACAGItST/c+MZ2ZBJxRSESVJJKjzvLyD2asIYBEC6SwqifN1fmjakc3cyqFq1jRYm69POu3mzkkSjpz7LoYjPT4VquAZS0qR5NjAABQOXP0jzj7/rUT3xGCB0KEQoHuA8FA135d75iMhPvvMM3iVQQxCQayeyXRSAeM7B5dS/1D28xf3MzmEbCkdSR3fpgIcghCJPi+XUMIi7Va4bIsh7rSqV0/XQ32HpLl0G/Zdm0RAAAwInI8Nn5fNr3v4wgiURDUiChqCUrdtqbGRwy9YzIeG3tPvbH4iqpE/9C03pjmJGAlXKvNvSCKRjISHrgTAMBb7bVznm9VOGd+q5U7yzn1DCOzsyO14yddr10CADz/5j5LopHq6Tz8i5HwwF2M+bYsBbMICQpCRA2H+m7V9dS2NNz10bXcqU9jRD5/Y1YR49TVtOQ4Z76DBTkYCw/d63rtku3UFxuNpVdNq3Stu/Pgr4QCnfuWV1/7ZCjYPduVuel2VYkN2U590fPNCiFqJGh07ne9dqHVzp8XRe2TrntDpANCiAU5aNu1BddtFxQl3IvR+ocWQkwi4f47kvGJD0IkSIx5JmfUQ4gohKgR122uZdK7fxYhLAIA/vSdmCPfDVAUVcAYBYxTr1FbaZw+8TnmOC2I8TwEgAd27PlJzhjlrtOGoqQ7M9eecfK5SxBCiGQlGL39nt9kjtPCgWB6gzBZkDu79shdPTdZ87NHmnY2Lg8AACAASURBVGdP/RXgjKv9g7eTSKyfmWaFxBJDwV17P+qWS9eQKOmAcwY4o8yxm7TdKig9/YfMmWvPmNeuPLE5Z0N7btpNW828nMnulDoy282Zqaf8VvPGdHdz4+86pI7MdmNy548LwVAnNc2ylOzYaq8unWC2VUOiqK1HsNYJHhKJ9pmz089hw0gy1227c9PPO/m1C5xSH0nStJTq2Eoi0X6s6XG+UZ4FIYSJ9z7yKNYDKU59RwgJPebU5W/6teoS55xDjBfdcnEq2Nt/kLaaOe66LbmzZx/4HggeCAFkHDDLYmYsKsTvul257/wl7+wff7r13xoNVn//e9QP3n+X8uCXH7f+/tIV78LoMBkLBVEIAGBdveZf/s3fqf3flQorI7xOCCAE0Mycf21phS4+/5LzzM5JcY+hwwC4geCp1lhlZY0uZzpwJhHDyaefs5945gXrqVgUP/WffyP8+9Oz3lRvt9CnKlDNpnFW16ABAKgN9gsjp8+6J//uq+ZfDw+Q0UMH5Nv+7HOtT5447Rzf/G1NRc+JIpQAAGB0WBx/37vUR1wfuI7NnYCBAl/7lvXl545YzwAA/n7vLmnfL3ws8Ild26U9M3PedMBAgd07xX1gI0Npc+xFPZKKDe/7WeY5zdLUa38GEVrcNIQGAEDOOQOcM84ZgxDCdd0kCAHgDPB1QISFdTccuHk95ZzxG64HAHC+eT1nnB/6iW5XVLDmtGmTc8Ahgth/k4OW0/ZbgoimMiPGZLxXG3ZN2nbafiMQFzuS/drYtWOVZxJ92ujm9a2KW0QCJLFudSCjYWP5UuNUbqZ9ybOpWVm1FrGALooK1nx3/XDVrrplSROcnm3BfUZMSrWrbknWhWA4LXfFispAYda8HE7L3W85uRDC3HXbAEIIAEDXRc0REtxC4YqWSo1DUVT9RmPNzeUuiR0df6NNTLwPiaKGDSMlhEKdmxpU7traeWpZVc6YLwQCaSES6YYIrQUPHryLe57lrq2dRZJkOIuLx7GihOSenv1+rbYEfN/hvu+IyeQYzGQkHAikSTTah0RR8yuVOUiIwhyn6eXzV1pnz/6dYBhJMZ2e9EulGTeXu+CurJzhjNHQ4cPzJBYb4Iz5SBQ17roms6wap9SHEH4JoNezTaAgSNQ0q2IqtYXT9Ui+Ojp6L0kmx2ijsQYFQbSmpp6yrl59ijNGSTy+kvjgB//cr9WWOKWu1N29D8nyC8y2WxAA7hYKV6RsdhfAmPj1+oqzsnJG7un5a2V4+E6sKGHmOC0hHH7bdyAP9B8WopFuIRTqAhBATplnz87+o+w5rbKZBwA89b1cKxoSkiNqqnyp8Joa17KRscSehSenPw8A+DY9HbOeO69ChGQt0uuY1cVwx9gD1Headrsyx/wfknPH/0bwHGoqITHWLlprjTVzUdJIYMNFaz3wdUMplu8yu12284KEFSxiKXepegJwANITkf3tspOfeKj3pwtXaqcAAK9t/j4miOx4dOAjieHQZGW+eRViKAQzao/b9pt2EwpEEbTqQnNq8Lb0e1fPll72bGo5Da+6eqb8MueARfsD4+MPdH2oa0/8NkkTjCtPLP8NkQWFM844AFwQsTR8V/Z93fuSdxanamcvfHX+L6J9gVFBxEqgQ+1uFa1Vp+lWtzzY/WHGON1sG5awXFtuzayerbwS7taHEsOhybmjuW9W5ptXPYu268vtGd+h5sg9nY/07E/e6bS8htPy6rWl1jSjnDbWzAUjoWTUqJzsP5R+V6THGNYTym+1CtbqjePbuTN+aPzB7g9X5ppXLn9r8QuJ4dCkQJAU6NC67YZbbZXtXP+hjncJMlYAAF/aGHdsJJVsI2cuWjW3TF1q2zW3TFRBxwRJy6dLLwZSapcel9OeTc2djw3+UuFK7QwAYAkAAOymV5+8OXV/s2AvL7xWfDaQUrp69ifvbJfsXOmafCExHJoMdekDzOceAAAIEpb3/OTwz/fuT97dKtlrWlRKQgQwJgghDEnuUvWk2/TqyZHwdiOhZMJd+q9XF1vTb55LWNOi4fc88CgOGCnabpfEdHobs8yqeeHS1wDnVJuceBiKoipEI73O0vJJqadnPwDgCkQIBW+/9cdJKjlmXbz8uDO/cEyIRnqZZVbd5dUzEEJIm60CJMK6pfeGCDiSZSN09x0f9dZyF7hPHaxrcTGb3W5fnXravjb9DHNdUxkevtM1czXuUceZnT+qbhl9wL469TQA4OJmuzljPpIkzSuWp6Xuzt0AQlR74pnf5p5rKkODtytjI/c68wuvcso8v1SeE7PZHUgU1c0yLZJMjCkjw3eb5y9+WYhFB3AwmOY+dRrPv/hf3bXcBSEUzJCO1Fa/Mf8SzBeuQIwlY8/On0CS9P9sZE5CJIo69z0biqLqlcozUBQ1rGlRsatzF9a1uF+uzCFFCbsLS69BhIV1Qsazme00hI3sIGbZNWbbDXd55bR18fLjYjq9jaSSYwCACxs95YBzLgSDacCYDyVJvz4GnHOpp3tWiIS7/GptyZ6eeYE2W3koEjV0z12/ASCEXrkyyxnz5b6+myGEp95cRYEEJEAEMfOY+x0rLBCESEAiQBABxhnzufdW5XoQQQgxIhBtfM8Z9zllPmecb3gpErC+kWHUeT1ojggWIdzo7cb162sRFgGGGDDAOGU+FBCBECLOGGU+8zh7a03EjfYSgNbvZZR5nL6xxA4JiDCfvv1vYIQgghisS6ogzjjjjFP+Nvo562OJ1klYzvmNY0Qd32QedTZKkt7wvMZ06ez0F878F6/p1HzTazKfuuwtDDAEVdSVuJbxTbeJCJb07vCIoBDdKrSWm3OVC/8oB0rOOa3XllnbrIC3eo9YEFm7VYIYixBjaeMe5uZzl7BuJAFfHxXOOWWNZg4bRhIghDkAHCKIaL22DEVJhxtkJLOsml8uzwEIIaDMBwihdaISQu579kZ22aq2deuLysjI3VASde66Le77ntzXuyL19d1CVDXizM+/wj3XpO12GUCIuO87nHOOdR0CRj2kyCHmOJuaQJRT6nFGKTaMDmP//o8hWQ4yy6zSVqtAotE+IRzqRIQob+7/OwGnnL9s5VdOCaqeIHow67UbOayoUaIHM0ggMsRYgliQSCq4162XZ+VEZjvzPLM5e/Hr9atn/9Zrv27U8/3gHSF4goHs3s7MTb/keM1cvbFw1HWba7Ic6iZEjQIAoO00liBEON2x86fnF57/bQBACWOiZDr2fDQS6r/DduqLjttYxZioCAkyIVoMY1FfXTv+p5qWHJdEIwUAWIQQoUi4/1AituVh122uMeY7QUPdhxFRMZaMRmPxFcp8y/VahUio/7bOzP5fEon2HzZIGgAAABgTNRDo3Ov7dh0AABn3XVmO9GiYjFPqtkyrfC1gZPf4vlUViZ7IdOz6GYzIsRsJGiIowWxm38/IcrCr1c6dI4ISVtXYEIJYghCien3hqOu1i4IgBZKJiccoddoQor/lfH1xQBCLEEDkM99BjLoAQswB802zeNlnTkvXO7aVKle/IWA5mEpM/hjGRG218+ebrbXThKgxhIjiuu1iqXzlawJRIgEjs4fS7W2E8H/fLGnjnPmMeiYhasz37SoECMMN0SbOGWWMOpZTW/C8dklTE6OUui1ZUMKSFMj6vt2wrMpMNDJ8vyDIX/R9+zuK1L0zgIAz5pFAsJ9zTjcPPuuRGukpbWzLe7CqRe3l0rSUSm/zW63Cel84V7p6Csz3LKSqESRJAWwYSQghDN18ONI8c+IvsWbEkShqzuryaWq2S369tizGkyPcdU26cRKHGBEAOPDrtSWsGwmlp+9mrCoRv/ZGcVJIiIJEUadmu4wUNUzbb5/hBDEW1L6BW/Ut2x7mvm/79foS4IyZM1NPQYwlbXTre5hlVs3Z6euEAVLUMJLlIG02crin/5BXrcxtHny565rrZYCANc+e+ittZOwBwAHHmh7Hqhptnj/9N1IiNSaEIj209bqDBKfUN7Zsm/XKxc1NHpQy2Z3fy1sRBCgM9gnD12b8KwIGQi5P1/77nzR/fzOLZWKLiH7xZ41/Azjnrg9cxgBXFagCAIDrcEeOI+X979E+ODFOJhkHTNegnojhJOcel2Wg6DrUJWmdcNlEs8kbyThKJRO4w6fcV1WoAQBAqUxLjzykfXPvLukmxgBfzdEVSYKyIiMFAFCLhFHEsri5fULcOTpMxmcX/JlzF903aA1tiECbAABw313Kgy2Tt5pN1giHUCRgoOCFS+71tMjT59yTtsPt/l5hsF5nNVmGys37pIMigS+53sZmW9ZiaiQ9gYlsiFoom9p6+FeKV4/9iSCpUUzkANGCGc6oZ5ZXTkGETsmh5IgW796HiWR4ZmPVNeurAICjgczQnRBhIumRHua7Zquw8ApE6IoazWxTo9kdUCCKbzbXnFZlHmyUiVGfeZggYjX9ei1nL6lBEn7z+xMVrO64P/XwwN7IbYpBQqUlczrRow43Sm5u9mT1CJGQLIhIQhgiRjlbvtg4MXW0/FS0S+2HCOJtd6ceTg3o45deKD2eHjZOSypeMhve9SiUFiKRAx/MfiQ1oG9RAkK4uGBOdQzqW1eutM6sXm6e0SJiHK9vJOG3icFyzqEk6bzVKjLPe/2wzhhFoqj7tdoyYIyijY2tVyxOQYxF7nmWX6stAQivkyas3S5ZV68+qU1OfoA5Tkvp7z/M2u0ylCR9ncyNDdF2u+g3m3kSjfYgVY0CSl1OqWfPz7+Cg8E0t+0Gs6zaZuou55xBjEXAGIWiqCj9/YeESKTHr1TmnJWVU5tlUgAAYF6+/HW5u3s/27AyD99xx686i4vH5d7ec9gwZm50pwAAcCRJBrWs6sb6pkUffHCHPT//MpLlgJTN7nTz+cvXs3na7aKzunoOCYLIKfXEjo6tWNeTAIAWZ4xvkFHzWNfjSJIMAABwV1ZO65OTj1DLqsJ6fflGl4s3AEKEZDngFUvTnFLfunDpa9qOyQ+C15MF3nFIQTkqR5QEdXyzcGbtSLA3Mg7e5oBRL1x7RjFiQ4IW7tYjnbtdq7FaL0w/65q1JddurP3AGvm/KahDbc/yW6JGDEEW1M1D/yZETTBkR7QZZZ6oCHr3nsRti8cLz3kWbSVHwzshBKhwtX6GutSRDBLM7ojeIoj4rO9SB0IIB25N3z/+QPeHWkVrjVF+sXitfs5peXXPoqaRlDPXnlv9iqgIWnwouA1ssM6CjNXuvYk7po+sfU2QkOy0vAbggM0ezX+rNNu81Lk7cVu7bOc44zzWH+zf+u6enwIIYqfhVqUACVGXuW7bbwYVrMmGGI70BUY9i5qZieh+oggXPMs3JZ0EAx1qd3PNXGwVrBUjqWaxgETPpmakRx8GAIBm3lpuFe21jvHwLqIIejNvLRFZUKnH3K3v7fnpymzzslV3y1efWv5ifDC4rf+WjvsFEX/G3yiXkgNi+K5f2/FRI6lmPZO2wMbewKp7ZSxiSTZIKNKlD/ousxMjoUklJB2xak4ZAACkAAmTmlDijPtaXEmLGjGWThWPEFnQunYnbqMec0ozjQvM5356IrIvNR7eBTYInupic+r4Z6/97sCt6XfLARJul51c8Wr9LJawPPvi2uMAAkAkrNZXzXkkIDxyV/YhhKFw/ivzn470GMNyUAw7Ta9WW27PcsapEhSjC6/kn7KbbjU2GNw6em/Xo0QRfvfGEjmIEFSGh3ZBhAR3afkkDoe7mWlWzAuXv87a7RLAWHRXVs/KA/2H/EplDlDq4VAwCwVBRIqsCYnYUOPZI7/nLi+fIsn4sDI8dGfjxaP/w51ffHWz3BwSQXRXc+dpu12GCEF5eHCf1NO9Fxl6XAiHu2i1tuQsLLzaeO7IH9B6YwVwzmmzlY88eP/v0Fa74K2unmdts6yMjd4LbiB4mGXVncXF41Jf7y3ccdtesTTtzM6+SNtmlSTi8zgS6nJXVs9IvT03IVkOQFnShXCoEwBwFRIihe+7+1EcDHSoE1veiw0jyUyzWn/2+f9iXbz8OHOcNpJENfyu+/7f4OGDv+xXqwu00cgJ0Vg/SSZGAQAnAIQQCJhAQZA3gnMAQojsazPP2zOzR4RIuDt42+F/667lLnBdi3uFwlWAIKKtdhHrWsyZX3i19eqJz4iZ9KS+d/eHxUx60rp05RtuLn9RGRu5DwrCukskRAiuizl7frE8jTQtBm4QhHWXV854+fwV7nomkuUgNvQkQEjgnmdK3Z17aL2+4swvHJMH+w9vkEPXSQCEEc7cPvCByJbU/sVvXf2sHNOWvYZTIYYYIroUssvmmtdyGqIhhWKT6cnM7YMflONaujlXuVQ8ufyMHFHPOjWruPlNF1SihceSE5Hx5D41FehGIpbby/Vr1cv517AovBabTB/I3jn4qBRS4laxtYII/j+YRz2iiYHBx7b/a0Ehum957eWnr30BADBLNNHo/8C2nzd6wqPMp27lQv5YaCSxS44qqfpM5XzxxNJTRBPPe233DWcToolGeCy5JXvHwCNaJtjfWqpfK55YflqJa2fsspnjjLPgYHSy993jH1s9MvclLR2YskvtVawQjRhSmNm+SV1qpw/23qZ3hoawQnS1w+hx63a5PlU6LQbkL7sN+3plCBKQoHeGhjrvHt5j9ITHiSGFrHxrsblQvSIa0lPUo07XPcOPBfqiW72WUxMN6Q/cplPbbGtkS2p76kDPA5EtqZusYnu5PlU8FR5NPNuYq1yk9nr2CZYEeesvHvj/ggOxCa/tNvy222ivNeaCg7FJLGCpuVS7qneFfq+1WJv6bt8PzjkXU6ka96nDXLcFBUw2tQ8hxgRAWPUq5TmkqGHMmK+Ojd0vZTK+MjLcyz3PdBYWjgnRaB9nzN/YF6kQI4IVJeLl81eY65q02SpIvfFBZXT0PjGdPqsM9O9119bOAYQE7rgtwDkHjDNAqYtk6XqJFKfUA4z6SJJ05tgtAABgtt1AkqRjw+jAuh5f3wMigg0jASh1IcaCmMn0AoyJEA532TOzRwDnjMRjgwAiBAUik3h8SEx3bLOnp5+z5+Zf8qvVxdAdt/8qFAQJiZIOIYTvqAEFY5QYoawYig0Iqh5nvmdxzilznRbRA2nmeSaAEFK7XQEAAubazeq5Y58y1xaOeY3qAvO9d0wY/fsmeARBDg703v0hRQ73Uea0A0Z2D2O+Xa5ee1LAcjAaHrhLEOQwg1h03WZOVWNDAICSrqW2Zjr2/Fy7nT/fbK2etp3aQtDo2tdq584hJCiu18oDALgsh3s3nyWJgXQ8Nv7eXOHM51QlOqzI4W7GqZsrnP28aZaubl5r29W5WmPhJUNP7wiH+g4DAP7u9RZzjhFRXNbKu24rHzQ69xZKF/8+V5j6S02JDydi4w+5Xqto280F33camhof0bTkONhIcYQQ40R8/G6EiFwsXfqSokQHQ4HumyyrPF2pTj9FqdsOBXsP1ptLrxKihDnnNBHb+v56Y/kYAGAeAAAgQgQLkkGp06LUabba+XNEUKKyHOxmnLoSMVKN1spJjoharc+9EA713ur7Vg1CiH1q10OB7puF9eyc+VY7d65cmXrc0Dq2b5R3HVvvJWccMCpJgQwWJANhor4+AoyGgz0LnHW5rdba6dW1E59y3GZOloLZof77fl8Q5KDjNlZkMZg19PQO8BYZTO8kIIQweud93KuUZ7nvu2IiNX7j8YL71HFWV05BgShyOruTc86Y8zrpxDzP5q7bBpwzwJiPJSkAEBKQQGQhHO4WNCPJPcfEQ6Mpv9lYhRBit1i4Ys1ce5a5TotzTqlplrGiRqhtN9xi7jL3PAvrevLbDkYQIuZ5plvIX0KyHICiqIK3gZTs2Braf/AXrfnZFyERlA07QZtaZtWY2P6oXy3PkXCk5w19scwqM9fFo/1GfQUJRN5cgDjn3Ni2w/Ib665bSJR0ADiHZP3dIlEyvHptWQiGOt8cKWCu07JXl08iUdI5bawikaibC/t3ejeiCEVCoDA+Kk4MDwqjn//b9mduLFEqFGk+FMThrVvEyVyerkXCKOJtkB/btorbH3u/9hOMAza5lewoVVgxGkHx6Vl/ShAAueOwcjdCAL3Z5tennBaKPP/Ka+5LW8fJtmAABTf/7dRZ98T7HlQfuXzVu5BN42y5QsuEABEAABQFqbqOdLHCRIyBYK1bu79l7bmqIvVzn4ztuDbrTVk2t/p6ycD0rDNlWvz6Jth1ufeJjwcuGDo0KlVaFkUgjY+IE6EQCgMACgAAQF2nwRn1fbtVYNSz64sXv+q2a8ue1cwjTBQVAqBGO3dRx6q67dpyIDN8VyAzcq/Xri4AAICoh7ogQq8QJXAOYkFGAlGVUGpcsltF32mXg53jD2iJ7v1uszxrQ4QFWYtDhE5xxhgmSFQNITy0L3IbRACpQRK5sY+CiMQd93d8YGBP+HBuun1RDQoRhCCaPVl7Mdal9I8ejN8viFAqL1uzmy5ansMcIyp9fmh/5I5IVunhnDM1QCJ3fKz3VxGGeOZE9cWBvZHPzp+qHcUikg5+qOvnggkpU5hrX5E0IUAkJE8dqzydHTW2j9wSu0cJ/P/svXm8XNddJ3iWuy+1V72qty96epKedsmyJXmN7TiOkzhLQycmQGDIAOnAQOgGhm5oaJrpmdAMwzJNN92BT6dJgBCSOBDiJLbjWPIiW7KsXW/R25fal7svZ5k/qp78pDhLT0hPDzO/z6f+qbpVde+5yznne76LmL7y9eoX3yzph1Max9XqdeZ5rS02GgAAcEJC5vst0NN2Y13P9d6PEnfeeUOZmLgPQAiFZHIICoIMAIg451zMZJ4zjhz5IR6GtrZnz2NQFOUtXx1lePhY80tf+mUAAAAQIkBpBCVJF3Q9q+/f/z7qunXAGGFhaPmzs0+zKHJpp7POgsDijMXR5uZl5vsdAAAn7fba7ckLca023zl9+vfNY8d+HDDG3CtX/kZIJgf0/fvfh0RRcy9f/gIUhGc5ITHz/Q7tdDaQLJuckAjrehYKgopNs9BbNRNZEHS2tROJ6/VZMZ0eQZqWQYpiop7ki8exTz2vBTinAGMRaVoGgO4zMXXffctSf/8BKAgySiT6IcbCTZbUG2eBx/X6fFyuXhOzmXGkaRnmeU2sKqk3u2++11KzWnHyB/b9OPGJG7uxZfQnxjJ78nfAJ9GbJkZEvlWWteQfG5nhY0Z25M44dGpOc+VV365e/35LIf97LIihoGWUvtAhFgmpHwfkFrZo5BI79onTXnHmtazS115yb5z+d1d/LbCi9sixwgMnfmrPr7dWnbnUoD4hG2KytC97l/D5pU8AAEJRweroXX0Pr56rfeO1v7jxhxABfOSJyZ/dvNR8ZfaZ9c9FbmwDAICRV0vtNedGHFAPcMADK2rpOaU4eCh3UtKFZGBFzdps52Jn3V0UZKS2V515uyszgkd+aPIRt9E1CtaySt/aa7Xnr35p5c9CJ7ZL05mjJz+y518xysnmldYrZp86qKakLADAEySsONVg3Sxpw6EdtzllFEAAZUNMIIwEPacUY992/VZYXz1Xf15UBcOp+huSLphqSs6tnas/n9+Z3D9wMHdy4fTm3914fvNvJx/of3z1bO3roMeeHbmz8CCNWOhU/XXJEBKtJXv2hT9a+CO3EVSNvFp68JcO/h6SkFy/2jorqoKRGtTHAQANAAAI7bhNYxrVF6yrY8f7huaerXzupf947bdISIMD7x3/id2PDT3h1v1yesjYIemiOXAwexL0GEDNJXtWNsRycTp9VFQEza0Fm9mJxHT5auusVfZW6DZWZnJAH9396PATm1earwwdzd/vVP31yImtZ/505qOrZ2vPM8bpif9x968OHsndCyFErSV7trAzecDsUwcBADcngFAQFHli7G5l186Hg9n5Z8MbC6cAxoKyY/w+KEmamM9N8ihyAEaCeeKun4yrtetxpTrTkz8pAALA48jT9u97L04YhWht/Xy4sHh6O8OBxyQCPRALKYqp7d/7HpwwiziZ6GdR5CJNTVt/8dmfJK32zeRTIZO+yjy/iZNmibb1dSiKmjI+ejfWtU9Qt2e5wBgBEAlCOj3MAWdQFBWAu4uXpNlaiVbXXxOy2fFobeN1HpNA6i/tQ6bZBwCYkfpL+5XJiQegJOmwkN/J49intl0JZuae3gLsWRh5+sH9z2v7972X2nYZJ5MDyNQL0tDgYYjx6wAAiHU9hzUtTakTC4XcZHBj4XnnlbP/mYWhCzG6BiBEmcff8XEAIYprtTnasTawrufiSm3Gfe3ClrfZRfPkcdm8+/hHqO1UotXVs0J/cR/qPntrEAIEMBJJvbEAFdlE3ZSvmx4unJAIybKoHz74j8W+wm6kyGZUrlzFmfQIQFiEoqhBSVShKGm9ifQbLA8IIFYEDUCARh7b9eOCKhr2UusqZ5wlJrL7lr5w5T9ISeXK8Nt3/YicUvNyWi1AzoHaZw713z/xj9J7+u5c+bvrfwoAWMeyoAw+NPmDiYnsPsA4E3TR9DbtpcREZl96b99d1//TK/9SK5rDCCPBXmnNYBFLoLeCgCRBFlTRBACA5I7sgeorK18BACyIppyWUkquPVt7LX9k8MHcof77IitsBnVvU9REI3948C1qwRwWFPHJrcQp0ZCTg2/d+QGtzxhWMnoJAACVjFYs3Tv2ntRU/ujaM3N/DgCYE1RR5xzw3KH+B0beufvD1lz9dcY4ldNqwd+0F5tXKmeGHpn6II1oJCWVrKhLiTgV5pWsXoo6QR0A8DdbzZjd339P8cTIY4xxIuqSGbX9mpSQMyPv2P0/cMpJ9czyU6IhpbyytaTk9QGsigYAoC1okrHj/Qd+PjWVPwIAAPpAYjyou+uFO4fflj1Qunfz+cXPIwH/Z0YowbKgxnbUas/WzqemCkfd1c6coIqGNdd4nVFGzbH0nvH37fuolFR+PeoE3zH2mzMaa7t3PQoQFqnV2cSpGDgkqQAAIABJREFU9Ig2Pd3S9+1T/ZmZrwWzc88k7rn7oyyOfHl09LjYV9hFWq1l5roNADiPq5VrgDFGbbvCKY3E/K6d6tTOh+JmcyFYWDytTU+/k0ehYx458kEyueMB0u6sU6uzwYLQIo3Gwpa5MnOcmpBOa9v3jEWxh3qMdwAA6DEAAVLVJJREjRMSkmZribTbK/LI6HFt797H1R0TDwjZ3ERcr89Hm5uXtp4FWzIyFgYWEkVFLBSmkKqmSKO5gGTZoLZdwen0ME6lhiCEq39fIA8NvGb1pa/+hphIj0AsyBBCzBkjnDPCKY05JSEN/Rb1nFpktZZZeGsy6t9nfc8Aj67ld2Esqh179WVJ1PMx8VublfOfDCNrAyNRlSWzZOh9e1udxW8QGjm6lt8NIXq51Hdoj2WvvrS8eurfcs7iwf67PmrZa6802/NPb5kLI4QFz2/cILHfQBALQwPHf1CRkoO5zNQ7FDk1HMVOdW3jpT+s1q78dUz8tiInByfG3vq/FPsO/2gQNBddrzaTSU8+IgjyU1u/yTlnrleboTS0YkFNM0aCeuPaF+vN2acwllSERb0nZQKKnJwQRb2ga/k9oAfwyJJRLOSm38do7Gv57CRjJIyI17ix9PSvdeVnjDhu5dLw0N2/QEho+35jngPOkonBOyFEq5wzCiGWGI19STL6KI09hLBMaWg1mnNPxcRrFHLT70slRk60O0unEBLURmPmbwVBTRMaWgKWE8trpz4uiXqhv3THhxN46HilevHTlr32ai6z8+0Cli8RGroQQoSxbHDOYt+rz2IkqnybYbXlrJ91vMolSiMHIVETsGxEsVsLI7faTchsLcax1zD0wh7wfQZ4AACAM0rEXGFKMBMlwUwUe1rj7gAeAohkOSHl+3YhSTajVhcIuvllSqMeeBIiRU0iTc9ChDCxOuv6rj3viGrV60IyPeQvL5725mee5ozFgJKIExpxQgJOScQ554JhcKyoKWVo7DgLvHaXBXMrAEI9t8aCwN5agceanv1WCLA8OHRUSKdHVTDG/YUb3wAAAPvCuU8L6cwYNswCC4I2MswC1ow86GnbAYRQGR65i/peUy71HwzLGxd6EhYOIYTG9P6YMeZ0KYpxwDlnzHXrLAwsTohPXadG0tkxqVDcAwXhNCckgghhfecuATBOoSDI1HFqWMnt+G7OSxDwYGOTrls2s4YH8UgQ8FtkFKoCVVkCcqVKy4U87tM0qFs2sybHxcnf+OepX1ldI8sxAeQvP+99OplAyWqNVo8dlu4cGRJG45jHhoGMKLo1DcZ2uqlbfQVUNHRoppLoJjOl2WKNSo2VCwVc9HzujY0I46IIuw90CKBlM2txOV7I51CfLEMFIQjZm4ALCQMmwphHjRZr6BrUOx3WjmMecwZuOd/VOqvcWCTzU5PibgAAaHVYa4tRBAAAjMZhon9nACAUaBR0vObGBU5JaPSNnVSTfbshxrKomUUASsypLb8cWvUbgV6+zBmN/XblSuy217CoJI3C6AklWZgCECBRSw6o6dh3aytnAqs2hyUlyUjk+c31C5HbWd2CwwQRSRBC2Fj1FuKQ+Ym8XNpi4gAAQCIvl469t//H7Vq4oSWFTHPdX7Sq4cbS+c5L9//YyMc6lXA9XVJGOAO30I7tRliVVfyFzJA2DgCA/VPG/uULnZcXXmufPvz24gce/6Wd//tX/2jhX/kd0t77lvy7y/POFUFCcmvdX6ote7OtzWAlXVSGfJt08qPazm91bUGMJWV09DhpNpejavVm0gcUBFnq7z8AIEQ8jgO4jUYbNxoLOJkcgBhLWNe3GCs2AABQx6nSTmejx0rxpWJxn3vp0ucA59ztdNbjZnOpe9IYhZKkI1FU41ZrmTQaC97ly09yQgLelWxFrBvN3uaMUXloiAvp9AiTZSNuNBao69a3p9cB0PXCgQidJpa1oQwN3SEPDh4RC4Up7/LlLwjp9Ihx+PAHOSEBROhU6uGHM9LIyJ1QEFQAIWRh6AAIIY/jgNp2VUilhqVCYTeEcLEnsRR6hswaFASZ9I4RgG5crzQwcJBzTgGlERQE5WZb1etzUJJ0pKopMZud6DGhbk3S4oBDACAncRBXqzP60UNP8CCw/Nn5/6oUDyWjFRIjqanYixzixTbr+aNADAUkYlE0pLQ5nNp58OdOPCqZcrp8Zu0rnDHm1dw1OaXkOWFvCsSmS7vephg5r1OZe7pdnvkKgAhDiARZSw8LohKQOPjuqen/AApLWOZd6RIwCkq/3wprHLwBkNOYRWvn66en3jr0g5xxJipYE2SsAgDam5ebr6y/3nihuWRfZ4QTLGFZy8oFLCIZAABEXTARhnj+6+Uv5Hck9plFbSh04s7M19b+ajv7w6n5mwCATQAAwCKSaMgCtx5snv/MjT8iAfXH7ym+HQtY2rzUfNlrhrWNC42XYp+6ZkEdGD6Svy/yidtYsK4OHMqdzE0kp0/85J5/+eAvHhSO/dhUf7JfH00O6GNqUsoCzvnCqc2/AwAAyRASsiEmSUQDLCDRKvsrr/6Xud9pzHeuKCk5e+xDO//ZxD2lx5yav9lcsq/7nagpm2LSb4X1i59f/ETsUSc7Ye6592f3/Rs9qxSVpJi2q/56bkdyPwBgXjGl5L3/094HlYSY3rjYfLm4J30k0a+PHPvQ1C898LH97P6P7S+lh41JUcW6lpbzfiuq90yPAQAABFbcWjvfOL3/vWM/EQfUk00x1fPSCZbPVJ7OTSb3la+2z0IEkaBiPVHSb5quAwAA54ABCICoYkM2xZRT9ddFBWu9vh8A0GVd7H3XyINqWs4NHc7fyxgjRkEdeO3P5/9g6eXKM1tyk4ED2afe/bsnPl+fty7HPnX1vFoaPJy7B2wDeADGEkAQW8+d+j0hkx6Rx0bu6jz93McBABAbejZeX39dGh46ChASiSTp1HWbLAgs2M0EkXkYu2KpOM1ctyH1F6ejjfLlbyVfAQAApCoJsdi3x7t05Yuc0kgaHDiEdS1L6o0b27djrteMq7VZgZCQum6dx7EvDfYfFPP5SdCT63HGCNa1DOt+7nXZ193nISckUvfsumyOj93d9WrDUnBj4fmeOTGQ+kv7WBDawaUrT+JUckAeHTlB2p01FtzKUo83y5epbVeo7dSY77eRLOny8OBR99z5P+/6k0FILKuMZNkEEOK43lzYWgzklFEoCE9ZueyEcfTIB0m9eYMFga3sGL/XvXD587f8z8bmZU5IEFcq14RMZlTM53YgTUuDbqolhwAAsVjYFa1vXoQClrZLfbFh5JKPPPQxeXjoDk5I6F+f+ZpYyO8UTLMU3lh4nrY7a0I6PQIICbdfR90LrvvMEBRRd1bbM7mD/ffh3eId5dOLXwxbWl/shK2+u0YeLdw5/DZnpX09bHrl2AnbiYnsPuKGFkQQJ8Yy0xDBzb47hx8YfnTqRzo3GpfsldYVTjklXmQ1L5dfSoxn9iKMhC1zYb/iLKsFYxj0nlm8679HkIQVJAvKVr8hmnJa0ETTWWnPEDeyinePvUs05TQNia9k9ZK93LomZ9Q+GhIPAPAkRBAVT4ze23/v2Huc1c5sZIetaL0znxjP7CVB7EIEkTma3oMlvJKczEWiKWc68/WL5nB6KrW7cEf7eu2st27diN3QoiHxaUgCiCAKG+4G9SKbRjSgIfHzdww+tOWfZQwmJ/b89PF/wgmL669vfCPAUAjq3iZnnLRnaucA54xRTrAsqqIppbEiahBBBBGEpXvGHqY+cRsXNk+ldxeOeWV7WUoq2aDmrAV1bzM93XenvdS6BgB4EQAApJRSAABwRlmsFo2Rzmz9vNafGEMCEmMrbKl5Y8AYSu0EvQX+b1ek2Vpyzr/+mcSJ4z/JJElTd+58KFxaelFIpYbCleUzca022zl1+g+U0dHjWNMznHQX0IltlwGEKFhYOMUZo2Iud0nbO/0uAAAQstkJqVTaH8zNPU1ta1Od3PkgUpQk87wWj0KXRZHLbKsSra2dg4KgIE1NIyUzBgUsQ0GQOCERj0mAJFGHsmJCqSdH5Ix2PX4EGQqCwgkJsWkUcCI5IA/0H0SyZABBkEm7teLPzDxFWq1lsVDYhXU9G9dqc1AQZLLZWg6Wll/mJA4AgLBryNxYUCbG70GKkkSamnZePftJAMDad2q776Z6C0/P/dd+T8kWd6em7/hRwBmN7fZq4/UX/v33ui/fE8CDIBYGB46fSKcmHmo0Z7/seJXLGMtmIbfnvRBiUZYTAz3JVaG/ePTDrle94rrVKxBCJAhq2nbKFzUtP2Xoxf2cM9pozj61PTmql+K0AgAAmprbkUlPvlUUtZwsJ4YojeyYeI1qvQvuAABAGNkbjlu5NJyefGsU2WWpCzAVda0wDQA40/tZTlnkcs6ZrKRGKIt9UeyuEFMa+cnE8FPFwoEnPK92HSEsiaKWk6VE/9Y+pVPjD2hqbhfnLOacUYwlbXH52d903PLFLTBAEJQXR+H9/1zXzP4osjZEQUklEyMn683ZvwMA2AhiUZbMfsqIj7FsdEGb07/daM5+mXPGVTWzMjXxjt8f6D/2U2HkVBynfCGMrA1dK+y5sfS1f0FIt6ONSdDeMf7I/5pKjtzTsVZfEgQtLYhqFgDgAgARBBDFsdfAgmxCAPF29J/S2MdYRpnUjoc1Lb8bAEbjOGipSnqUcxpZ9spLjJGapuZ2Qojwlrzs+1Gcc559+FEIKI2I1V4Xk6khJCsJ0JPSQAAgxIIU1aozYiY7Dm5jfHBGYxaFTtd4WM8jSTYBgNCdu/4VKAgKcaxNJKtJudR/IFxfPccpCcVMbgcUBBmpWjrcWHsNQngOaTpHipKkjXrVX1o4pQyOHAO39Ytxo34jffL+j7mzV/+OWJ01uTRwSOorTUOErnLGmJjKDENR1OJGbTZx5E7AgqBDbLssDwweca9d+SKAEMmlgYOA0pgTEgJKYzGTGYMIvcAZY97C/HPmgcNP4DCwqO81odCVhAEALKQoCSGVGQGMEuo6VeI6NcAZY3HkJ+84floZGDwSbq6/TtrNJWN6/3tZGHSUwaGr+tTukjoyfk/cbi1F9dqsmM6MEccufyf2DgBdQKVUxP19KtYMHZqlPty//fO+Ai6urNNly+LtnTvQrlabNR2H248+LL1jsF8YMnVo/s1T/udJzONTLwbPXb4WXyrkcH6gHw8lTJRMJWFaFMHN1XsOAN+1U9jTarNmrc6qnBGuyPDmpDWKeDi/EM+GIQ/3TUsHhgfRiNQDeNod1gpCGDAG2MISmU8mUDJhwiR4k3hoy+YdjADaOSFOXbkWXYpjHk/vlvYle/5BAACAEEQ/8SOGbjnMkiQo1+q0KolQQrcPlgBnSJA0TmkEERblRG5Hanjvu63160959fXXCtN3/wxEWOKMxtb67Fcjp7WcHJ5+Z3p0//tCq36DRF7LKIydbC1f/Gxkt5YL0/f8LIRY4JSE7eXLXwit+nxqZO+7U6MH3hd2anPtlStPAgCW4pAGWlrMkZhFibxcDBxiybpgAgA6AAAg60JCS4ppQULS6hXrXCInly4/U3vSaUX1d/2znWL/lLlbUrEmG8RUDCEROOTmIDf0qQchvFJddGdSRXnwsZ+f/DcQAnTmr9c/MbjHPLz7ntyjyxc6ZwQJyZkBdXTtqn1O1gVz8Xz7RVkXTMUUksk+edDMSoXMgDoqyliOQ3oLGw6KoswpjWkQdLZklV1/IUaZ41QhxjKPYx9iLG19hwVBB+t6nhMSIFk2kKomAQAbAPSYLo3GgnHo0PsBYyQql69CjCWkaVl/bu6ZrSQX6jg159VX/xRgLAOEsDwwcAiKosIJCYVUahjKstGVdG5cAD0/BKRp6XBl5cxNk8vbCnXTsKK4VpuHCC1AWTZzjz/+u2KhsDuuVmegIChSf//BcHX1VSTLJnWcmpjPTyJZ1iPXbaYefPCaPDBw0J+f/zonJDDuuONHWRS5UqGwoe7adUTMZsdJu70CLUuQBgYOvTGZoIRa1gaX5SRgjCJB2N5WVs/EmiBFSSBZTmzdC1AUZShgGSmKEK6svgo4YOHK2quc0JDadiXaKF9+s+P8VlU6PvTojvdOf8Raac8IiqBHnbCBVUEP20E9OZHZSz3itObqr9cvll9IjKb3iLqUdFbbcxBBvPHCyt/eTrVHCAuCpGUHdr/lkcCpz5PIb/t29bogKol0/5535UeP/sjKxS/9Mvg2yWD/EAtCABlhsawLCUkTjDgg3vbekDPOBg7mTuoZuRB0/WBC0JtMxQH1qzPt1/c+PvqhjdcbL1ob3rKRV0oQd6WOWEQSY5ylho1JxRRTmTFz18or1We3gztvUjzyiK0DUBo7UXwbEqAwfrL46Nd/5+IvdDbcld42PgAADBzMDSMRipgiKTNqTp37s7n/o7XqzBemkgdlQ0q6jaAcWFFr6Ej+vuE78g/0/IMUAACQNMFU01IutON2etiYXH6l+mxzwbrGuqBGLVHS/jA5oI9nRs0pGrMw0a+NqCk5//zvX/6fQzvuAAAARPDy5qXmmZG7Cg8tvlT5iqhgLb8zuQ8A8DklIaa1jFJghMf5yeS+mafX/3r9fP10bjKxT03KGacebAadqNW/P3Pn0OH8ve01Z2H1bO25rUbAIpJG7io8hAUkhlbUojGLtoA3px6Ug07UHLkz/2Bn3VvqrLuLCEOMBIQZ6Y6rthw+sIilyCVWZ91dTAzoY3CbVhKLSBq7u/ho5MZW7BHHLGrDWEJy5Wrr7HYvEbvir7WWnVnOOUMiFJ2qvzFwIHsCIvgnW0xKCCHiMQmY57ek6T3vkIYHjyDdyIWLiy8yP2hDQVCYH1hxtTbrXb76NzwMHRaGNnXdhqgqKaRrWV4uX2Ve1+oAom+faIcUJQUxlqCAJaRrGcAYYVHss+hWHy0exx617TKURBVparobfsFiZOj5m9sEoR1X67MoYRalYnEaaVoGicJNmTep1eeRLBvcNPtwwiyKfYVd4crqWYixkHzw/j4exz5OJQd6YDhnvt+5ndlILbvCXK/Bo8hFupZlUewhXc9BjKXus5fzuFqbAQAAzTQLoDs+vnknckJiaXDgOePo4R8CGIk4meiHkqTRdvuWSSR1nCoEAEgD3TFhz2bA3LomqO1Uo43yJeq4NR6TcMuUHymykXzL/T8j5nOTzqvn/gsPQxcnEyWcSJScs6/9mTK54wGhkN+JZMmIa415HsW33MMcAE4D4skZteBVnRVn3brhbVgL7oa9yCgnAACYGEtP20utq2peH6y+uvo1Z7UzS3zi5o8MPOBuWAtayRyDCKLkztyhzVOLX2hc3Hwhd2jg/o3nbnzWqzirgHPWmW9cYCHxE5O5g4wyggQk0YDcPOeccsJiFtGAeFHbr20ZibOYhrEbdSCGQnpP351ySi1c/eOXf6UzV78w/PZdH+o7PvJ26sdO6cTIO0RDfk40ZZzcmTtkLbauKFmt2LpSOdOeq78etfxq8e7Rd/kVZ0XN6QNIxBIJiCuogqbm9H6vYq8QN7La16uvIgkr3qa9FDS8zfVn5v+iebXySmwFTa2YGNn7Myd+p35+4zkpIWfUPnMYALBgjqR3+5v24vpzN/46PZU/Yi00L9UvbJ4CnANBkwyEkQg450jCSux0zZU541TJaqXiydF3RlbQYDEL3Q3rxuV/99IvckKj4bfv/pCS0waoH3vJydxBQRHOI0kANCCuX3PWE2OZve5aZ27mk+d+K7O37/jQ26Z+hAbETYxnprU+cwRi9Oq3A1q3rk2I0OfiavW6OrXzYSQrJuCcBcvLL1PHrfUWq2chxjfC1dVz8vDwHWIuu4N2rI1wcfGFLQkmaTQWnHOvfUoeHrpDSCT6qW1XWBT5EMJzcblyVRocPCyPjtwFIcLR6tq5uFab5ZQSJEko2ti4iLpJo9Ut8JHadiVcWTnDwtDmYWgDAAALI8efmf0qabdX40bjBvW8JmecQVnS7TNnPkHanTXAGKWe16CWtckZY0Iq1YkqlavU6dpxMM9r2i+/9Mfq5OSDAGMxrlauxZXq9bhWmxEymTHSaq/wOP52fdx/k1L7Bo+IulmKrOaiMTL1VgDA/7MAD4AQiaKaKVcvfEoUlLQiJYdWN176fUFQkpJo9GEsmabRf4hzTg1BSXHOCIRYBN3+RUQQCZqanRQFNUNpaDNGvslkcas0LTspCHKi1V54VsByIpkYPh6GnfU49m9O3jhnLJ/bfT0M28uUhhZjjKhKZlzXCrshhK9s2ZNiJKpYkHK+37iBtLy4HfhwvcoloetFM4CQINvOxnlCQxtChAAAYNfk4/d4fn3G95s3NC03ZRr9h/ygtbCd6cEY8W1383VDK0wzRoIgtNYNvXhAwHISAGBDiDDjjHBOQkHQ8xBiwXHLlzhnHAAAfL+5lE6N/faO8Uf/bRTZm5zTOGkOHnPcyuUtPxzOGZPlxFVGYz8IrTWEBFnX8rtEQU2DHigGIMSynBhgPgkgEuTtsbKyZPYND5z4CcMoHYAQQMetXDb00v4wsta7CWClg5zRqGedhgAA3zeABwAAIMIiFCWduE6VeG4dq1oaAFAGYKszCiweR45U6NsDUdfQbMujgjPGsKZloSAq1LY2OSUBgABS16lR16lS264gWUliVcsY+w+9nxMSAM4Ysa0NrGoZdWzivnBz/XUAOGdx5AEIYOLg0Q92m/DWCV1ULV8hrlMz9ux7Dw2CDiexn7nvwV8hjl3OPfyokzh8NGZx7Ftnz/ynqFa5HtWqM+HG2mtCOjNmHjryQWPfgR+gvteK6tUZbBiFcH31nFQo7jH3H/6AmM6cJrZ1LVhbeUWfnHpr1KjPS7nCVOLwsR/Vxicvyf2DkFMSUc9tyANDR8RUZhjwLuPEuzH7tD459VZ91553siDoQIyl5LETPxWVNy9Htco16ntNqa+4DwmiAiCA9oXXPv3dnBfLZp0o4iFCAL/0anh6/17pUKkolOoNWuvL4+LHPpp4YmJMmPypHzd+ljHAPv571r8mlNMffr8hSBKQIALQMJA5OozGP/1X7icFAQqGAc2JMWGy1WZNQ0PGQD8eBL1rNgx5gCBE+Rzuq1TopqxARZLAzUkrZYDFMY92TYq7U0mUzqRRTux9vrRMFj7yYfPnZAnKSytkMZMCmalJcZemoYsk5jHGEPcVUKnZYnXPZ/Y/+XDiuYfuVx5Jp1Fmo0zX7j2pvOUXPpr45aOH5E91bNZ+/DF1/5GD0h2EAnL1enQZIYgkEUiux24ZlAad2mzsWZtKMr8zv+vET7cWzv85Cb2GbGbGtNzQUQAgEhSjIJvZcZyWdIiwGNnNJS07cFjSU8NOdfFFGvttNVXcaxYn7gecc0HRC3Iit0NUjDznjEZ2ayk51Pd22UiP+s2NCwCApeZ6sFRdcK9tzjmXh/cmjqZKynBhVJsyMtKi24rr2SHVc1pRrb0ZrCb7lEE9LWbT/erI1Ins3pMfGJxobvhLibxcdFtRo3/K3C/K+OzgtHl48ljmgaULnZf1jHgx9pmHBSQmC3L/vgcL7wYAcLsRVSlhUeASy7fiVnXRvT642zzkWaSVH9Em+6fMA1pCzNRXvHnGAIUQoHS/MipIaHHLnBlCCNWpKRMAAHtSLLFHrY0gxgLz/VAqFqeRoiSpZb1hhNqzlYKCILMo8nqgRbd6KSzK6OhxKAgSTiRKEoSIeV4zqlTe8HCIIk8eHFzGpllAkmQgWTa03bsf412JJ42q1WtI13Pq+Pi9AIDLoMuiEYV0ekTIZse9ixert6+IJt/yll8SUqlB89ixF+TBwStQkgzqOBXm+20hl5sQ8/lJvrl5GWIsQ0GQAWOUExJDQdAAAMC7dOlzyvDwMTGbnaCdzoYyOnoidf/9/zSqVK6RZnORM0akYnEaAACj9fXXqW13/WcQwoDSWMznJ5GiJML19Vs8pwAADIqizOLYh4piAgCANNB/IPng/e8grfYqoDTGCbMIOACk01kHAACxVNor9hV2AQA+8d08IwAAAGEkIgkrftVd88rOspSUcyQgbmyH7frrm8/r/YkxZ60zJ2iiyRknWMZK/71jj69/Y/HznYXG5duNJY3c6Il0cdejgqRnzVyiaGRHT8ShUwWcUSwqicCuzXb7p/9vFQlpENpxu7lkz4iaoHe9Yt5gKJKQ+o0F6yqnnJpFdcgoqAOSLiQAAGXOOCvuSc8jDIXUkL5DSUgpLCFZ1rsSCYQg7gJHWPdaYS2/M7mfhPRbjsm2KvaJU53pXIAIwMJU6iDngG9nt2yVpAnGwguVp2hEwyNP7PhZNSVlF18oP+W3ozqjnHAOuN8K61e/tPIpAACAGOLQfsPvq3y1dY6GLEAYirFHHLrtmrE2vZVdjwx95ugHJ3/OqQYbSEKSIAuaWw9u+jRxxvnBH5ioOhV/PTmgj6UGjXEaswhhhNPDhlybbV9srThzh/7xxEcOv3/io4k+ddCu+Gtdg1XAIp84c1/feBKLSCIh9a2Kd3OyHjpxp7FgXSMh9XM7knvNgjogSEgGADgkpMHuR4dn+nanDqFhNCnIWOGUEVHBOgDAAqAL3HEOOI1omJ1ITBs5pSSpgo67vxH22s/UUnKuvmBdgRB0s2skrNx+juKAeu11Z0GQsMJiFpGI+mZRG5YN8eZiB+eMYl3PGUcOfQAZep62O2vUssr+9dmv8jj2ewCMB7bYjH7Q4UFgcc652FdgzPUazA/apNlcijY2LyFNzXw7Lwsexz4PI4f5QYdWazPy2OhJMZkYwLqWBT2AHnQbAlHXrbMocqWB/oPMdqrh4tJL25mJUMASNo0+iLBAms0lUZb07X5s1LLK1LLK4eLyi2KpuFceHDiE5G6IBvODDickJPXGAgAASv2l/dg0+6AoytuTugCCOKpUrlHLLsuJgVK0vPKqkM2ObTFRkK5lhEJhinleE8qygWTFBLeNk3kQdFgQWEImPQooi3um+7eg9vuJAAAgAElEQVQscvAo9lgUeUhRkiwIOpzQCKlKEgAAIIIIJxJFeWz0JG13VnkUubwH8KhTkw+p07vf7l268jdCOjUspFPDzPOb1tNf/zgnJNT27nmXPzv3tDw0dATJkn4z4v3mH3NOvMgKW37NWWnPFO4YfNhZ68w3L22+wM4zkpzM7c/sK510llvXyy8sfTF2I9sYSu1U+4whAAAYfnTXh5qXyy8uf+n6nyABS06tM5c/Ovgg9YnrblhL2/6pBgAAQ49MUcmU02Hbr8kpNQ96wCVnnIUtrxI2/aqc1vpgb0U1dqKOnFLzen9yHAAAwrZfddY6c7EbWXop8cX++yfey2IakpD4ifHMdFB3N7MH+u/1q85K7ezaM2HLr+oDiQltIDHBCYsHH558ojNXO7/2zPxf0F6/ZC81ryYncwdpRP36hc3TxOsm30IEUXumdi41lT+MRaz0WEJQLeiDkRU2lZzWDwBYwIqoeWV7ObUzf0jO6f3212/81TYzZwsAAJCIRc4YVQvGUJetxGl2X/EkZ5wGdW8js7d4Yu5T5z/ubVpLEEEUNNxy9kDp3sbFzVPmaHq3lFSyxCcu55yZI+kpFtOAc8BZTGMpqVyOWkEVy4LmrHRmRUNK9oysv+Ncrbe4exncNPR+k20opd9um969XgW9RM/b3vdAd/HlmxZgWBT5AIBvmn9E5fJVcFvaKnWcOgDgz27b9FPfap8BAIC02+sAgN+47e2F3mt73T5W+m9S25+TEEIIBUHGkprK3fHAQazqGWB3A6UQFqTvVYb+vUq0IGMk9PzK5WL+wAdSyeGTkmT0Wc7GOUKCDsaiTkjQbrbmvlpvXP9bxmIvjr0GABAKgmxiJOmt9sKzoqhvJQK9qbMjhAiV+g71URq5GEsmRFhknIRR7H1T7HoUOZWoG6sOMRZVzhmRJLPUA5YiADiLIqfCOI01NTcJIRYVKTG49X1CQndi9KFFw+g/CLtS5RRlxEMQixBCQRS1bEz8tiQZfZzRiJCgw9jt6F9X4qRIyUGEuh4tCAmSKOl5AMAagBAT4rc8vz4jSWZREvXcdvkUAAA4buWK59WuiaJWQEiQJcksufXLf3XLv3AahZGzqanZSSqZ/bKcGBK6AA/oHqddpiToICxqnJOI827nIElGYWTwnn8KIRYazZkvYywbkmQUMJZMSiMnlRi5J47dmqgYhY618iK7bd++X4UUJclbzUUkSTrStJsxuBBAiARBZoBz6nUNs5EkvzE4AhBQ329BHHXBQ4wlACAAjJHY6qypw2MnOYmDqFq5CmXZRLKcoI69SVqtZQiRsHXVQYgQj2MXQIQBxiKSJKNL/32jqO93lP7B/5B9+NF/zaPQ9leWXpL7h46wwO9Eteo1IZEcRIqaRIqSiiqbF3kcuTiR6Cft1kpU3rigjk++JdxcP48UNaUMDh/DmpZlYWihrpQi3Xn5hf/Tm7v+FJaVBDaMArE665yQCGt6Lm43l1gU2pyQAAqCjM1EaYtRQNqt5ebp534ncfDoDyNFScSt5iJW1DQAnAup9IiQSg+TTmfNX1t4lbpO1V9Z/o5UTgAA8DzuRRGPNsp0XVWh1l/EAz//kcQvPvMN/2tvfYv6tuFBYfTc69ErnstcxgHbMileWSXLaxt0dW4+nlEVqI2NChP336M8mDBRYnRYGL98Lb44PIBHnj0VPH3kgHzHxJhY2azQzWOHJXGjTNaXlsnCiTuVeyQRSnAbAAsAAKIIJc/n3uIyuTExJuyQe6lYszfimVaLNUaHhfFiAZcEAQgP3Ks8fOZs+GLH5h0S83j/XunQ2fPhGQDAn33pK96TB/aKhzCGmBBOOhZrHz0k3blnSty7USbry6t0qWOxth9wv9ViTdNEidV1utJqs1t0zrFvla21a19icWhDLEih01zqrF79kpop7SNhvcXi0JGThV1quriPxaGlpPr2aLnBI5zSsL188XOd9ZmvqqniHiVV2BV0qjOc0khO5CbVdGkfZzRW0317tNzQURJ4jc7Sxc/6rc1LAACwesU6e/ix4hPDexN3dKrhRrKoDD3+y1O/2ykHq3/5a1c/7HXi5uaMczFZkPtnTjee2nEs/cDbPjr+63HA/PlXml8fP5q+T9YFc+O6feHIO4pPFMa0KSMjF6buzr5t+EDyzvKccyXyqds3Yewpz7tXvU7cdJpRrbjD2GPXo0p1wb3eroRrgAM+93Lz2am7c4+891/s+sP6sjc3/0rzuZ0nsg+FDrFDj9p3/cDAT6xcsl7VEuJXPStuAwghUtU00rQMUtU0dZwq7LJPIiiKmpjNTkSbm1ewYeRv8cHq4Sqk1Vrp+dG8YdLHOZf7+1dYGDqkUllhvt+CGEv+3NzXbhm8AwBIu72sDA8fY2Fok0ZjASAk4ESiRJrNJR7HPo9jfysqHCKESaOxhBQlgSRJR7qe/6ZrMp/fKZhmkTpOXRkdPSHmcpNxrTYDIMSc0oj6fjtcXT0LIERIlg0oywbvmQT2ktJudE6d+j3j0KEnIMYiabdXAEIYcE6l/v79UJKMqFy+SlqtpXBt7Tz1vDYAXW8LIZMZi9bXzwvp9Aigt4AeEHDOSaOxBEVR3wLDkKamsK7nIUICBwAgUVQBggILA4vHJAAAQB5G7nfj0XWz7RmnzavVM3JaLYSdoE682NL7zfFQFjQsY5UE1C0eH34sbPlVvWSOETe26hc2T2++vPpUZIWt238PISxCLCgk9jsIiwrnjGAsaUiQDBL5zcirz4Vee+XN9uUfdHHAIIY4PWxMcg54HNJbxh6UsIiE1FfTUg5iiCGCqCfRAgB0pURuLdikMQsjj7i5UmJENsWu3xIEMHSJZZX9tfXz9VNKQkyLmmCAb1cccBLRkFFO1ZSc3bjYeJlTTknwzcAQZ5wVd6UOG33qgJ5TS7IhJr1mWOusu4uM8DgOiNeo+tdCK27bNX/dqfjrfidqANBNjsIikgAHXElI6d5E5pZqLtkzJKKhUVD6BUXQQie2QjvqbN8msKKWmpbzyX5tLHRiS9IFU9IFk3POk/36aN+u1KHUkLEDIohK+zN3CbOdCzRmEY1Y1FyyZ0IrbrmNoGyXvTWvFd4cf5KIBozyWEvLeUY5FWSsIgxv7qNd9lYjl9iRFzuChGQtqxR7bdtlrkEIZU0wU4P6eGfDW1y/0Hhh5M7CQ0pSymxtgwQkUsKizrq7hDDEWlrO987tLeNmzjitzXYuamk5lxo2dkZO3HEbQVnpnucuwBPFbri49GKXGQMBs62ykM2OU8vejDfLV7bf9xAhtB1gYb7fZr7fhpKoicW+3dSyy9jQs6jrlfZNY3IAAGCe14yrtRkoSRqPSRAur5wRMukR49gdH8Km8R+Z49YBxoKQy45jTcsi0yhwP2hzzplY7Nvjz8493f0hRsVSaR/S1DQnNGJx7AMI4XbpEgsjN/P4Y+sAIxEpcoLFkYcUOcEZY8qOicvK5Ph9nDHKw9AJbiycUibG7lYmxu9FoniKExJCWdKVifE7AQBA7LbJhpDPT3ZTmbpjaB5GLnGrDWyaRRYEFjK0XC816I2xMoSIExrF5eo1MZ/bwaPY5/RWIJszRgGhUXeQCzFWlSTStAyEEEJZFpCuZXkQtONKdUYs5CZB7/vy2NhJKEm6dmDfe4LZuWcARNi/eu3L0frGBZxMlCBGWCwUprBp9AEIIVLkm8zem9esG9th0y+nd+WPQowEv2qv3gTaOeeNC5untJI5qg+ldlbPrHyFM07Dhl4WDSnlbVpLQd3d6F4fEEsJJSOn1LzVaFbe7PzHTtiJ3agDAYRSRu3bSv7jjFFBl5KiLqUETTShAAUAAMASVgDjLGz7tQTK4KDubhCney8TP7adlfass9aeEw05aY6kdwd1d7N9vXpWSiqZxHhm3/qzNz7DGadh3duUk2o2aHqVoOFtAMYZi2gYNLyyPpicUHJ6v720du0muAMhTExk9w49svODqOsVBGIn7LSv185KSSUrJZVs80q5N3bmQDSlNGecdtPFvllmzCkjUSeox3bYwqqoIwFJWikxxkLipXcXjom6lAhbXqXbFpz1HRtepQFxzdHMtD6QmJAzWomsW/PEjayoEzSwIuiC2n0mx3bYiuywNXR85DHOGHHXOzd6yV//f/13VEiUNNFMDYlGcgAraiqx8wAyhiebnJLA3LG3oOQHDsiZ/FTcaS7RwG+rhYFDULjVUuX/bn2vAA8XsJIcGTj5MUlO9DNGI84Z8f36PKWRzTiLu0bCsUdo0Iljt0ZI0IEQi5RGLiGh5biVy4yTKJUYvWc7w+T2YowEjNPI8xuzECJB1wp7BUFJfdOqAQe82V56TpGTQ4pi9Fn2yssAcAYh6gE8gAOIMEZY4oCzMLLWEBaV7f/lBc15UdSzYdhZT6cmHhCwZEKEJM4ZoTTyKIlsz6/NGHpxP8aSjpCg3La7IIrscsdeeVnX+qYJ9duOW74o4K6uEAKEJcnoA4BTQVBSGCupXiT5tuONPT9oLWtqbgp2c/3kKLRviU7jnFNKAwtjUWOchEHQWpRELQchhAiJSJKMvoQ5eDQMrXXGaLgF8OSzu9+VTU++tW0tndbU3E5C/BYEAC2tPPdbipIeKeb3f8D16zMpyeyjNHLA97kgxkLukXdKcl9pr5hKDwOIcM889eaRQknS5HxhF49jj8eR3zMW7g2OAIACliHCWEimhqNa9ToA3URpiPBZ5nstwUyUxGx+UsnnpyBCAmCcqqPj93BCQnfu2pcBYxQgJIipzCj1vRZWlCSL42DLsGt7hZvrF6pPfvantcldb5NLAwcFXc8xUVAEM1FkUegG62tnqefWWRg6yuDwJ7XxybdoE5NvYV1ZiQkgQlGlfMWOI8/Ys/892JD6OCEBxEjosbhcJMmfkQcGDyNR7Ep/RFGjjl0JSRwYe/a/Vx4cOgoojbZGdr0B2ctIlC6I2dwOuX/gkDo0chdSlKSYze2IqpWr/sLsM3GzuRjXa7PfrVO7H3AfIYg4B7wvj4uH9stHXzgTPt+Xx33rG2StXKGbe/eI+xVZUH/ztzu/GkY8AgCAK9fjS5bFOskESn79lPcMpZy8553aD0gilL70Fe/Je44r9w8PCaPVOqtM7xL3jY4I46++Fp7pWKwzNiyMD5SEwc0K3VAUqMS3JcVQCki7w1oAAlhvsJraS+1qNFn9Lz/nfupXfzH5m57Pvf/td63f/Efv1t6/b1o6UK7SzRsL8dzpl4NvHN4vHQUAgNV1uvLv/8T5gx9+v/5jCEF84VJ0PptBWV2DRq3BquUq3UwlxVStTqthxMNGk9S/9nX/qduNm3urY+d7r616DryJDheLsqF0ajNeY/08jYK2U116iZHIB10zyq/cvr0gqYnAqs249bVzsW9verWVV7dQ/U4l2Dj4aPFz0/fn3yHrglFf9uYZ5SQ3rE3IGjbselRZfK19et+D+ffkR7WplcvWq3YzqnrtuEEiFjHC40ReKu66O/e2zVnnUmHc2K0lhFRj1Z+vLXmzkU+9oX2JO+KAep1KsCZISM4NqeMIAXz52eqT1UVvZv2a/Xp+RJssThp7r5+uf2Vkf/LY5pxzRVKxxhlnhXF9Ss9I+dUr1tmR/cljmzP2RdCdZEAkywZW1RQ2jAKPIgf2VmFZGDr6vn3vjqvVGU5pHKysnLnZIJwDJMsmsax1qb//wO0rk9RxKtHa2jl/YeEbca02axw48INxrTZ3e7tSx2lgTftLMZfbwQkJ1R07HoCiqCBVTSlDQ3ewMLTdixc/BwAAUJI0nEoN8jj2AecMdAGZW/oq98KFv1LGxk6K6fSwmM/vjDY2LnrXrn1ZGR09Lg8OHnFff/0zwdLSC0iWDSiKqmCaJRZF7tbEqXcc30CyfE4sFHYpIyPH5MHBo2IutwNKku7PzHw1XF8/H9dqM6TTeYOVQEikTk4+GNdqs5wxQuxtfQSEEEqSRmx7UywWp7dWf8P5heej5dVXoChqUBQV857jP839qBOurL7Kw8jR9k0/7t9YeB4A8F0b/9GIBuZIareoS4n0ztwhRmgkaJLZo+R7XtVdC1telREarXx17tPtucbr9mpn7s0iYQEAwOtUrkIkKJKSKImK0edblauCpGU4ACD2rQ3frs5E/t9PlOj/m0qQsaZllD6vGVRYzCJBRgrYNsFP9utjZp86GLnEIQHzY5+428GQyI3t0I7arVV3vrArddjvRM0ewwfQiIVeVybVTJS0EbcelLWsUtju6/VmxSmnuYnEtJqSs6tna89FXmy/GZOjs+4uajmlqGfkvsq11muccbpwqvylmafXPvtmJuzbC4tIEhWsSVqXbSSbYkqQsLSVgAUAALFHHM4AbS47c327U4dinzi3s1siN7YggghLSOKAcyQiSTbEZNCJGgACkBjQR9ur7o3QiTsbF5ovvfrJ2d9h30HyAADgfbvSh428UmKU08iNLUHCCkTbmOGNsBJ5xGks2FfFPcJRQaGapAnm1ucQAMg55zRmIQlpkBrUJyRdMPWs0gd64RyhHbXdelDWs0pfY9G+blX81aFB/b7cRGIaInhqS6YlyFiFEELZFFNBJ2p6rbD2f7H33lFyXPed702Vuzp3z/RkzGAADHIgSIIUgxhESaQSaSXLsp7Ts9fp+az9jp7t9dtdy6t13LWfbHkt28eyrGBJVGKSGERSBAkSOQMzGExOnVPlcO99f3QPiEiAS0pimA9OHZwzdav6VndX9b2/+/t9v8l+fbhdetP+zCgVspkDLAgcWqvPAgiRvuuGX45ct+0Tztj4D9UNI4I00H8DIFhKfuh9EiBEsvYd+BIA4CVm2RUoEFkeXv1O+8jxbzHbruKIllE3bXgfVtVvs8B3AICAxKJdQkd2nTN65knAedMZHXsiets7fjtYXDrWqsNhobZj60fFvp4dtF6f55wzrGkpAAAMlgonAcECgBAx26mF1VYwlweBQxuNBffs5HMoEsm0x4HwEo0ZhIiY69xIG81FobNjPVLkGIQQQkE4QBvGktiRHXFGzzwBIUJQEJT4vff8cZAvnGKOU4eYSCQe6w6KpTOhVa9wSgMhk44EhfJ4OwAOmB/YEGOBOU6d+4GNFDV5cfkuxFhCoqjyMHQ5Y2HLKfCirznnLKzVZpjj1IVc5wbOOYeEyABCABDESJb0oFSeIIlYD1SU2Dntt5Zmm0MNswCJICFNTQaV2jRACCNVTSJVTcFqfZY2jbzQmR3BLZHpl8vDOAAsZD4SscxC6tfHSoeY//K9gkWiZK/vfRdRhYigiTHmha5TNOes+cZ4+cjij0LLbwZ2YHDKQkZZ4FXtgjFdPS1ntC5wGdyytQARxEjEEuCAC7oUBwAUmEddHvKQURoEhlcT40oaIgj1/qTqN90qUQUdCkgAIfNB+znHQhbYBWOGBczXuqNDgek3kIDF9NauW4WIGLML5lz2+t53WQuNCadsLdRGi/sDw6uHbmiFTmC2+8CIKkYb45UjvuGdW7DDCtEGH9j0mwACaC8ZU8Z09bQxXTvVsav/XqwQTU5pOWoHbT1XwPymVzWmqieVbKR3udT1QiAUIlJCSihZr+6WIEZEjEkpoopRp2TNE1XUwXnP79AJrOrJ/Evx4fRWr2IvilE5YS00gZKJ9IROYEIIERaJjDDCnHHafefwzMLTZ7+hZCM9SMTS+c+cFX56QAghkpR4pH/NXV133H8PVrQ0p6HHwsBBRFBIJJrDohzFspqivtv0KoVT1HPrYlJYK0STA161MPp6CC+/pgAP5yxsGHMvRbTOTX5glzy/sUCIEm8aC/ssu3SBZRuECLW0XDhHCDPPay5gLGqqmlqDkagyFrqESDFwUZS5/TosFu2dYjSwIQAwDJ2aaeWPxqK9N+qRrm0I4qOMU4qxqGZSI0OCICcEQU05Tm1SkVNDgblwgPNWdBUhImdSIx9wnMo44zRgLPQQxBfYNHtuYw7ovTdgLEU838hDiEUEieiHljHQd9spRU6u4pwFtlM5G9E6NqWT694nCOp0ENhVCBESBS0tSfE+SdQ7KfVNRgNbi2RHwrBVVwgggGHo1oPQqWMsRTmnPiFqCiyXVr38nmHTWjoKOACKlFgVhs4FK53LdueioOfC0G0QoiRaekIQQoiIIGjpILCr7fdaXw7wRLTcFs4Z1dSOjYXSsa9pWsfGfOHQvxrm0tFkfDAhinpO13JbJEnvlqRoL0JEYCz88WXxMEZru5/+i8Z+5R8BABwwesFEhVMa1F/c/Tkky7GWKDINljN5AAAgaNTnKk889gftH0bEHKfKg8ABAADOKAWtetJJr5A/aZ85/QPeEixGAADQElN16pxzjmTZchfnD0m57q3MceoccM79SwNc7RtvDhHhS0hRElAQ1HagkfEgcKhjV5dFoL3F+UNBpXzWOHboq20tEcg8r0ltqwoxFsxTJ76LBEHhjIXUevmamO9ZEOMXkSTpy4MDHoYutMxS89C+L8ITR77Bfd8KTeOCFZPW4AochwidskZPPYokKdKuG3epbZXb6ZHXTK1Oq709uF8QgBDVUcwPuB+GPBwaJMPVGquk0yhz/GRw9OEf2N89Oxmem0iXK7R837vVb958g3TLB+5V769UWVkgUDh52j+eiONkqcKKhsGa27eIO2t1VvU87nXncE+tzqprh4WR2QU6s7AUzkMIULPJLtDQieowvmGduHF6NpxMJVA6oqFIW0yZCQLc80f/rf7pj3xI+8Sdt8v3VGus6vvcP3U6OLF2jTCyZjVYNztHpwEAgFLOEIKHZufDmb4e0n/jTumm7px0R0hBKBAo3HiddNP4RDBGKaczs+HUoaP+gXKFlsFrgAaeCQA41N6uSug7TdASl9x3uf0nnyk9VFt0Z1Zfn7g93asOAcBAacYed4ywzhhnkkoeM6t+eWBr7MbccGSjEhUSnAG2cNo4cmZP9cn1t6fvXbMrdbcaF1J2M6gdeHjpy5GEmBnambgtu0pbF0kJmYl9tR9VF9zpVTvi75A1En3ha3OfXxw1j9KQhVpc+OeBrfGb+7fEbhjYErtRiQpxOUKikwdqz43uLn9/+325T/RujF4Xy0hd9YI779nUAKAV0MCq+m13cvJ5zljAg8Bh7brr5nPP/bV9/Pi3eBC4LAw9et6zICgWT1e///3/RG274k5MPMecC5+J1DRLzb17/0ldv/4+IZEYsE+ffoyaZhFcBmrbNQjhgaBUOuPOzLwIOOft4A3inme0XbMAbTQWmWWVoCCo1LYr3PNMwPkFkz771KlH3MnJ55CqJoV0ehgKgsJsu+KMj//QOHjwy2G5fJYFgQsx9ioPP/x/I0Jkzjmjplk8/4e8bbN+ABJyDCvKt6AkaQBCxF23SW27erFWRO3xx/8LiUY7WSvryDu/nM2bm9sflEpjzHHqzpkzTzHbrgBw7vnlAAAcKBAJAAigIMgQYZG3reth65l0zQOMxRdmHm1MVk8QTYxCBDGnLGQhC3jIAuqFNvWoS/3QoR51QyewztcMuRy+01iCED6mxro2A8CoY7w8nuCMhRAi/GoyjN4qEBkrkkb04ph7OLcxeYNVcfPLWW00ZAH1qWvX/DIikNTnrLNaOtOJMDw3zqM+88KA+YKCNbvqFZMD+lolLqUAaJUZYRFJQ7fm7ls6Xt1bnjROdcpETQ1GN0AETywHYUSVaAgj4rWCJRwRJKSHYhsmX8h/vz5vTeU2Jm64XN8bi/b01Av5H9gVL08UrEU71J7hO7o/VJ01zuhZpSRGhJiokgjCEIsRIWbk7dnKlDHKGeeBQ22n7lcEhaiBE1pyVExgEckAvCzQL8fEJMKQYAGJCENCA+bTixYHApuaRt6eDV3mJAcia7CAJSwiqZn3Z2deKj41s6/0NBaQKKok0r019Y7e69K3RbLKqKAQVY4IcYghFjUS9cygUThVP8goo6HH3MAJLafuVwEAPCxQOzsS337+ZMu3AwNhQCCC2Gn61XhvZEjWxXPukIzy0LPDJqOcMsaZqotxTJCgJqXscpvQZ+7s/tIzq2/Pvb803jhWmWieSg9GN1z/i+v+Hy093dm1KTlFJKJs/ED/TbFubZVZdFtumwhgGjDfrnoXPAfDWn1OGujfBdOpQQAARBE1TW27qu3Y9rGwUp2GhMj+4tIx7nmWkOtcL+RyGwEAL3FKQ3n14EOxu+74tLZ968fCWm2G+74t9vfulIeHbmeOU2euZ0AEMY7He4NCcTQoV6aQJD0jdndt0a7b/nPe9MyL3vTsXiGbXQsJkaEsx/yJqd1OrT4rDw/dTpKJfuZ5Bvd925ubPxiWyxMAtILtnNKAB4FDYtFuHNU7kCAol8RNKPX9pfwJEo/1cN+3oCRHAcYC831b7Oz8h/h97/4TbevmB/yl/Elvbv7g8kIDc5y6c/L0o1CWIsrw6jugJGrMtMrMdZvu2YlneWvRjyBJjAhduU3+3PwhZts1KBD5Eh0izmlQqUzSZnMJ65EOrGmpizM/AecMEiKJ3d1bl10aIcYEtGQsCFKUBCRECYqlMZxI9MG2WLQ/N39I7Ona5i8sHoUQIiGdGtJ3Xf/LzPOaYnfXFmbbFWoYBaErtzEolsakwYGbhUy6Tg2zyFzX4Jzz9JYuLCXVzsaZ0iHqhfb5z+TQCYzq8fwe6oWO2qUPeDWnUD2R3+PV3TKnLMSyoDI/dDnjfNUHNuQ554yogg4YYFjEIm0HXiGCiDPO3LJ1blHCb7iVzI6eOyGC/845Z/33jdTtJWOGc8DltNYNIURiTEqq3bEhr+GWq8fze9RcdEDQxTgAwEYCEuWUmhMGpAREiLCWKLJdO1XcFzq+oXbqA4Hp1WunintbiwoswBJROGUhp61/UkLJ2nljJrC8Bj8v8CnG5FSkL77GLZkLgHMQ2oHh1ZwiUYWIFFcygi4llGykFwBwPGh6NSwRFcuCBiAEiLy8SA8RhIADgGUiSwklgwQsQgQQD1ngFMw5rdEjvo0AACAASURBVDu+mhaMWawQLbW16xZBE6uQYLHzpv7Ven9iJLADs1WKxXzOOAudwDTn6mewRGQkIAm2S7G8ql1Qs1qvW7YWhYgYX8ngeWMgpTrWZW9+z58IerwHC5Je2v/MXwTN6hQSpajaNXATiUS7janRHxA1khXjqSGvWjwdXb3xgy39WM7rJ/d/8fXox2sN8DBFSR5aKh7+kuNUJhASlM7M5o91ZLf8bCza8yjBSlzTMiMIiepg/50aByyUpOgXOGd5P7BKg127fjNfPPxvTWN+H0JESiaG78FY/Aqlvg0AABiLqiInhxy3Mg4AOuF6zXlFSQ2Vq2PfD6nXlMVYz+pV9/xpozm3d6D3VmOo/66soqRWG+biIdsujnLOQlHQsq7XmGOsNeEOQ7dhWvljjlubggAAWU4MQnhh9gxlgSNJ0R7fN4sIYZFgNQ1RKwhUrow9Mjz47r8wzKWjYehUg8CpZDMbP6zIiVUDfbeNDvTdhhUpOQgREkwrfxS1zg3D0Km1rd8B5ywMQqcGISJ+YJUABFAUXxaRAwAACLFIsBRtiyNDDljI+EWaA5wzz2ssUOqZipIehhCRtgMYhBBigSgJz2suSFKst928pVnDQ59x6rleY1aW4n0YCYrtVCcAAEAQtDTnNLCc0hgDLBSImhSIkgJtPZwfB+0JR/5Kr9Hef86545L9YRiAth3nFV+jNTF6xcl520nhP19Dl1vtW1kwr/i+tCcgdXAZoV/QqpWduuKxrT5fXL5wTnj8Kq9LQcvCtXK1tq9EvcHq732X+tLmDcIWiAD6p381Pv+dR5wHEQIoDF+e5P7lZY79/pPOw6fGghMja4T1HRncWanScq3Oai/u856fmgknhwfJmnfdobxn2ZXq4BF/3+R0OPG1b1n/lk7itO8D78Ahb++zz7vnHH2CgAd79nq7f/is+3ixTAtnp4KzY+PB6LJTVtui/cWIho7t2Cpev26NsN60oBmNotiZ8WD09Jng5LET/pG//cfW+drHldvbwVwHfnDLJnFbTxfpjWhQPzMRjr64z32hVmeXlJG8EQhc6oKWgPzeC3Z8tvWfZ4c2uEI2UZvPAQA+hzDEjHIK/rj1R4Tht5LdykC6Tx0WFaTSkAcHH1r68uKYcdQ1w3PORVY9qAEAHmlvl+P/bZ+vdf6/enkHte0auPT7DULDKAAALpvq3Rb4Ww5iLF68v32/lQEAX7xCfy5s33q2NMBlFhaW8VsZQL/wiudp3avV9nb2Ku1e8VkFQCszB1zhPTifsCXaeVn3h7bt77Je1OUDu4zTIJ8/jWRZV7duvh9QGraETV9d7XdbJPn4tbS91lVGzjmHEB2XtERfvHPdewAAQFLjfQgLcujb1Xp+7HHwOjlfvFkgMlaWrdHNorNARCSfE+LlgPsOtaozxliqX1/bf2P2LgghWi6HaDUBHAtIUBJSRlSJjgUkyrqQAAAA3w6tDff1j254X/8n7apXjPdEhiIZOde5PrFj/lB5d/8NHQtEQvKOTwxvpT7zjnxz4u9Dj7mccerUvTL1qde5IXGdGBGi8BIhegAYZTS7Nv6MEpfS3qx/FnDAk6v0kXXv6v0okbCMMBSIhGXfDgw1IWWMorvw4hdOfQYAYHHGabwnMmQUnHm77pdFlehtAeZz4tyIQFKZMkZrs8a4lpI6IAQIInDBdy3wqCvIRBMUEuGUMygBhDDEnHEe69KeTw1F1zeX7Llkf2Q4tzER9F6XuX3NXT0P+GbQ1FJyh2cGDSJhlUhYfuZ/HPs9AECJA85dw69Vp4zTXZtSN8ZHtB2BS21wfukUB5zIRFXiYlqJiSkkQFGMkHMBHhpQrz5nTiR6tNX1OfMsZ5xG0nIutzF5Q++OTKO5ZE8zymYjGeX7A7s67u7emrq5uWTPOHW/nFylr7vxl0f+0Mjbc5XJ5kmz7Oabi/Z0JCN3UZ/5WMTi4rHKS+dnOwEAAA8CT+rvG9V2bPu4NzW9xzk1+n0oCDKOaGkx17kxNIyltqh9mofUh+dlqHhTM3vsYye+G739lv8rrFan7OMnH9JvuvFXWotigePPLxxijtOQhwZvFXu6twEAppjnmUiS/mdYrc1IA/03Yl3vYLZdRVG9E+t6FmlqUunIrgUQImd07HGs650AcG4dPf7t5cA2JETGiXifNDR0KzWahaBSm9ISiT4ALgoY85ZGQ1itz/CQekhRErCt8RYUCqO1hx/7A23LpvuFzo71kAgyc9wGyaSGkKImSDazRuzObfHnFg7SRn2epFJD/tT0Hn9u/mDb1bA1vqLUZ6ZVYqoSFzKZ4UsE+CHCIAw97gcOkmUdKnIctII3F3YUQMhb+fges506WDYVwIigSCTDTLOEIpEMEkW1nbEEvNm5/dp12z+BJCliHz3+Hc5YSBKJXrErt8k+cfIh51T5+5EbrvsUgBA7k9N71A3r7xVzuY3+wsIRJIpfZL5vg5bQN6FeaEsJpeP84IBTNOcrx5eeF2NyGiKIsjf0vVsfSK43ZqqnrcXmpBRXMoHpNyCCT3Tfudrov2/9LzXPlo8pHZFeQRfjseH0XogQ7rl7zYicVJ8MTK/m1d1SbHVqC8SIZHf23t2crJ5AGJ3ovHmgqg8kRrBMVKIIkeVytdK+uceL++eejA2nt8VWp7ektnbfJsaUJ3ruWv2R2HB6a320dICFNKBeaHt1p1w6OP+0ktW6OeM0taXrVrUrNticrJxw8sY0logKEISFPdOPccYpiYgxr+6UxJic9uvuuXlBaAXNwPSbbsVeiq1Jb1Vz0YHszt679YHECGeMBaZX17pjg4Im6mouWhr8mU2/ZUxXT0kptVPN6auSGzufCJ3A7H7n6vXGbG3ULVtLgHMW2n5TSigZADgvH1n6UXJjbpcQkeKhFRiD92/8jfjq9Bbf8OpySs05RWvObzhlJRvpdYrGHGecAs5ZpCe2Wu3UB9yqnV/+rHjIAjkT6ZHTWg4wxsDrlMGjDHZu1XeuuQ/il7/TnLLQGV/cb52Yfpb54TVVALwdgQjjxMbrbxYisW5z8tRjJBLvhhgLalf/Lk5p4NcrE2I8PeRVC6MAAMgZC0PLKLjlpeNyOrfRmjv7rDk7/qpcTK/Ea7ZJ930jz1joiYKWRkhQMZGjMLTLPV27fsNxKpMYS7rtlMdcGszGY/23yFKs1/OaS4qcOOX5jYV4tO8mPZLbGlLfFIiaiurd163qu32aMt9a1Xd7hyBo2YWlvZ9vGouHNS37D0MD7/psR3rjz9hu9axhLR2VxEiHrndtt+3ymVp98hnTLpzU9e7rIEQ48K1iELq1RmPmheX+IoTFMHTrEACgqpl1kqh3mVbhEhGpILArQWhXECQShFhAsOVOYjvlM4XS8a/nOrZ9qmHM7zXt/AmEsCRJsR6IiGSYCweL5ePf1CNd21UlNcwYCxgPvWr97FNh4FQBaAVaNDUz4vtmwQ/MfBDYZeGcds45uB8Yec4BJ1iKtuzULywF44AzACDU9Z6dQWCXAQBgucwBAoQRElRBUFOuV59VpMQAxq2yJtMqHJflxKql/IF/IkRNdnZs+blsesP9A323ZxLxVd22U51QldQwAAhbTvG0LCcGREELwpYQ9ttO2PLtzmNP2A8DAB6+6M9XFXKjrbT+ifZ2Oc6JqiEIIWtnMhAC/yeEAAYBv6R8ox3Aefo8+/N/vNyJTYtZAIBn2ts1s1SgVwwkvpVh9MKMlHZJxuWE6V6X86/wxoBTGgqZ9EtSX+9O5vkmjkW73bOTPwqL5UvK2q4VhFsr2eeXtmCRSJltudu6bu679+Y/vad/+398x+zC7unvlY/lX6Beq+zhYiCEMJ4beU+ye+MHAYTINcrjajQ7AiEiVmPpGLiCZt+bCYKlCMaSjhCROWchY75NaWBSdvkSWkHCajSn9Xtm2JR1Ic4ZZ8vOM1hEkqgRXdaFuGeHxuy+4tODt+TuZeyie48DUJ02RrWU3Kl3KN2CSrTlXWd/tPhQ1+bUjcN3dt8/f7D03MLRyp7eHenb+m/I3ilFhfji0cqLZtld6t6c2iXHxJRZdBc446w2a46LmqDrHUqPHBWTbXHgSzAKzsKaO7vvbyzaM0pcTNkVt8AYDznlFIlInj9U3m1X3aKalLJyTEwslz2wkAWiRvTQC53AxqaakDJYxBeMhxjl1Cq7eeozFxEkYBGJuKWjcW7MwkIWCCqJ+FbQbCzZ03qH2rs8iTEKzvzwHV0fTPRFhkOX2p4ZNFjA/dClthwVE/lTtYOt6yTReF9kNSYtjR2xHTBS4mKqvmBOOk2/ml0b28rbBgjL0IB5lanmKYgAjKTlTvE8fSNGOcsMxw6PvLvv48l+fY1RsOc9K2gO7Oq4u/+G7B0zLxV/CAD4I6viFvb8w6k/3vnJ4d+NZJRus+QsuE2vqqXkThowrzZvTYoK1lKr9JGlk7UD1KeOkpAy408vXmDPvYw/N3+QGkaBpJKrcDSag4RIACHijk88Q227CgmR5dWDtzHHbTSf3/P3575ClFIkil+hplVWN6x7r7J+3XuCUmkcRyIZd2r6RWmg7wYky1GIMQmrtXOC28zzLIjxV93xs89IvT071C2bH0CiqPkLC0eEdHo1NYwCc9yGkM2s9eYWDnkzs/uWMykBaMkS4EgkDQGEgDNKYrEuZjs1Hl6oVwElSVMGB25iTSOP4/HesFQeX/6c20H9MSSJf0NSqUFlzeo7lJF172GWXWWWVRE6syNhqTwOBUHB8XivMzb+ZJDPnzrnTtTSj4vhWLRb6OxYDyUxghQlAS8u0RKIhGQlhvVI1l9cOi719e6EhCjggkYQAsB5sLB4FGlaivu+1XbkAhAhjDU1jURRY55vcs74cpZQWKvN2kePfUvM5TaqWzZ9iAeBS22r6i8uHgubzTxSlUSwVDglr1n9TnXjyH3UsqvUNIsklRo6JztAGQ1tvxlbndrSsr15eaE7sHwjtSWXV9Jat7XYmAydwJSzWo++KrmBetQVoy3LcgAhKB9afCa9rfu27A199xRenHk0viazPbYms92cqY1CjHBsOL2teGD+yerxpRe6bht6oDlZOYElovS+e80nrbnGGX0gsb42WjrAGadKWusCEEJGWRDpi6/zm25NzUUHCntnHyeKoG38jV1/DhEkSz+a/I5Xd0tCRIxVji49T93Qia/NzGs9sdVOwZzjlDM5pXbGhlKbmU9dora1biCEEEHkN9yK1h0bEqNS0i1a5xYJQicw62PFA0QRIuXDi8/qfYl1Sk4fKB1aeCa1JXerFFPSsTXpbeu6rh+cf2r8a+XDC8/23DX88eqJ/ItCRIqv+sCGXzXn6+PUpy6WiVr16B5Bl5PUD13mUxdiRMyZ2ujcE2e+ktzUeZMxVTnBwviw2h0dCsYrR/2GW+acs9AJrerx/Atu2V7CMlGxIkScojlXO13YJ2ci3fy8Z7pXtZf8hlPS+xMjr1eJVuKurb+QuHv7L4dNu4QELEOCReaFDr8r/MW5P3/wwwCAg6/H67wVQYTIUjK7zquWznjV0piU6d6iZLu3CdHkAMRYbJ49/h0IEUls2PkpzjlDhMhqru96a2HqhdLep/67kuu/kShaCrRdpF8LrznAQ2ngRPWe2Y7Mxgcaxvz+pjG3FwCICJZjqppZ63r1WT8wC4KgZXzfzAPQ+gK6Xn1ufvGlvx3qv/szXmAUiuVT34mo2Q2a1rFRVTMjTWN+X9NcPKgq6bVKy6r7KAB8bGrmh/+1I7PpI6qcHOKc+q7XnJfEaA/GUkSSYj2xaN+upjG/PwiskiTquWrt7JOO+/IPDMZSVFMzI67XnDeMxUMw2isCcPHkA0IIEQ5Dt940Fw7qka7tELXq2BkLfYyFrzMWutFozw2iEO3xfGOJEDkmEDmOkKBE9Z7rRVHvrNWnfoSxqCJE5FJl9OFzg7ZWej8PQrscBHaV0cARhAszeAAAkDHqURrYAlGSCGKREDl2URsOIICAc8ZY4Hp+c2FZxwhCRCRR7+KcBrKUGCBEjuG24HPTmNubiA/dIYp6LgidWr5w+EuEKMlYtPfGfOHoV1U1tbojs/njnFMfABbIUrzXdatTDWN+L4Rwz+tRG7jCCufDzvtOnZ8ZdMX2V9FsWGGFFa6NoFSewJpWF3u6tjLLqgLGQpyI9wIAXlWQJ7YqsT6+NrNt+CObsqETWEpGe8QptYQ4s9u7bt/wSzv+c37f/JPUb3hCRIitvn/9rytptQuL+OvUv9QRi4hKPN4xfBfCguoapVGrNrffaSydwKKagBARiC5eDX/zgLGoJqL9t/Tmdu1sjz8QQkQEnLOQ+mYqPny8aS4cCEL7AkF3ImEFcMABAHz+cHl3tFPtX94HIUSxbm1VZnVsU/5U7aBnBHUaMJ8F3L/oHHLXpuSNvhU27apXPF+E2TOCRqxb+4tdwro/VGJiEnDO6/PWpKCSyNFvTX4h2qUNyFEhjggUpIgQtcruIpGxwhlnWIBiKyNIjInay/oy5+M2/erJh2e+lNuUvKE+b03WZszxVTd33AMAgI1Fe7o+b070bE/fkhqMrp8/VH6OtUuskIBEJS6mAzs0RJVookaibf2hcyy7TklRMWkUnXlRI1GppS90rswaYUgCN7TtqleUIiQGAAeovRrOKKNaUv5q7/WZOzjl4dSewuOdGxI7lbiYqc9bk9VpYyzWpQ70XJe5rTplnF7W94EY4s6RxPZ4tzZQHKsfhQji0KU2vyiwJsfEZPfm1K4wYJ7T8KuC0nLQW6Y6bYydeWr+wTV3dT8AEUD5E9V9kYzSJWpCVE21SrXaZXKjUkT43d7rMret2tVxT8dIYgcRsbx0srqPiFgWVEGf2J1/TNaFOESQnPju9BeNorNwuc+jnfE4CxGaD8uVCam3dwcPAw9KoibG9BwPqe+MnnnCGTvzFDXMCwSUme87EKHveZNTz0urBm4SOjvWAwih1N97Hfd8051fPOJNzeyhzeYFCyZtd555COGCM3bmSbG7e6vY272dxOO9nDEaFItj7uT089x1GxeXidJqbcY+cuxBEo/38qCVHeNNH32J2RfeJ97E5G5v/Oyz/sLiEXntmru579s8uDDrgHm+DQA4ARE6bR46+g15cOAmoSM7ggDgPAgcd3ziWT9fONnOED/vAjjz5+cPLRtwMMetO6fHfrAsC3Cur81mPqxWp5GmpZhlV/35hcMXl/y3BKfn9uF4rIdZdjVwPTPIF08Dzjnzfcs6cvQbSFbiAHBOm80lararAILQg4T8G0klV4lduc0kHutBmpYK/bpFG80Fb2LqBR6GrrJh5F55aNUtACGCJFH3Zub2gzD0IIKo48a+KAtZIOhSAlBGkXChVEX1eGGPX3dLald0UNClOAQAuEVrXtCluJKN9JaPLD4HGOduxcqrnfpn++8b+SUxLmeUTr2/dqqwj6hCBECIqB86nDImJ9U9Wnds2Ks7RSmhZr2aXUhu6rxJ7dQHqE+9xR9NfltKKFkAAOSUMyRiKbWl6x1qpz7gVe28oMvJ8sGFZ5RcdEDp0HtZyPzy4cVnzbn6OAAANMbLR0LTb6jdsSGiCVFIIj3WXOMsVoimdkb6GmdKB1nIAiEiJXjruuNYJDJpuwgCAAALaBAbzjzUdduqDyXWd9xI3dByCuYsdQLLWmieTW7o2CWntC7qUxeLWJ555PQ/h05gxobTW+WE2uE33DKnvOUYVrGXkIBEISLGMCWaW7IWAISIUUYhRk80xkqHEhs7dxFV1MWolIwNJje6NbtYPZ5/3i1bS9WThZeoF7piTJYjPbHVckrLmbO10dDymixg557pSkek31poTiCChXMuFK8RJIu6t1gZL33z+c9Gtg3dHRRq095i9UzX//mev5VXd++ECB1+u5VHXysQYRErWkrOdm0VNL0TSXIUQogCs74g6oneSP/ad3mV/ElrdvzpwDLyEEKo9a+5W9TjfRATKTDqc0pH705wDZneV+N1GSAZ5sKBkLp1WYr3MUHLYixqCBOl3ph+zg/MEoJYSifX3mvbpTHPa4ultdKvfzQJfvhfOju2fjKm994Yhk4tCOxKvTH9nCCo6Xi072aERc00l44uHwMAOEqIPBnROrekksPvTsRW3RaETi0IzIIiJ1YZ5sJBBBEmRI5Vamcft+zi6Pl9hRAJkUjXNsapz1jgECxGrODCHwcIIdLU7PpWspWgiKKWPd8um9LAgRB+vdGc2aPrPddlU+vvl6VYb9NcPESwqDHOQssunpKlWK/tVifq9aln/cCqnNcHIghqWpJiva1MGyILRE1e1E+MsahjLOoh9ZpNc36/KESy4EIQBBDZTnkcAE4JlmOccwoBBBC1AkIij3SaVv4oZkRZvgbHrU2b5tLRdGrd+0VByzTNhQOioHfWG9O7ZTnWo6nZEc9rzktSrEdVMiPV2vjjoqjnZCnW1wDwRfAqxDdXWGGFFVZ4YwIRhGJP97boHbc+ADjgOBbtAoyH7vjZZ8CrCPAgjPC23735NyNd0UG1Ux8wZmqnF3409R0AAJATSmbr79z088Z846w53ziLRSzr/fG1jYnq8TUf2/wfmzP1UQDA/ovPSaRIRlRi3Z5Vm6kunnrEM8tnaeiZb/YFBkFQkz3Z6z6pyMkhx6tNN4y5F73AWNLV3FaEiBRROzZ3pDb8TGd608c705u+X6lPPHUu0AMBIO0MDb1D6S2NN86VxQVOaJoFZyHWo62KZOSc3qH0GAV77ny3J8A596zAoD7zjKIzP3RL7r7yRPPk+f1rLFjTSlz6dPfW1Ds61sW3qim5M5Jp2XbLUSHRWLJnTj02+5X6vDUBIUR6h9KTWRPfAgAA+RPV/UbRXrxSgKcdoJhEGM2kBvWR3KbkDZ4ZNDkDVI1L6TV3dt+PJSzP7i89c/bZxYcCJ3QAaDlIiSrR1tzd82EAAA896nJ2YYZM4FI70RsZSq2C68ySuwQ44BdnEnEOGAtZoMTFtBwVE27Tr1L/Zetqq+qWIITfiHVrA12bk7s449SueSUiYXnwls73YhFLxdP1Q+PPLHzXafg1AABwG37Vqrh5LCAx1qUNEAnLi8cqLwVOeG4FljPOPCOo1xesKQghzKyObT5/PwAA0IAFgoy/2li0p/t2Zm7v3Ji8PvSoK0hYLo3XLyh/9MygCQB4WI6Ku7Pr4lt7tqbfoWXk3OCtnfc2F+0Zu+oWC6frB8tnGyd8O7TAVWhP1q5Y7vkKxy2XOD/U3q792JftlPe0t6sSNpsFiPFnIEaEh9S/0iTTOnz0wfM0ur5wlWugoFVq/+1r6nerXOzL4FL75gv72mguQQj/AIBz13oJ7TLav7/cPtAqG/7MFfvRCjydaW9X4kEAwIMQIQR4CwBaz33qhnakJ7YmdEIzsLwGo+xi8wgGABgjqrjglqx5iKEAOGCQILHwwvQjdtGcXT6fnTdmsUT+u9YdWy0nlQ4WMp9zwL2qXbCXmlMAAOBW7aKc0v4ttbnzHbGdqS1+wy0Hpt8s7Jt7XIiI8a7bBx/grYAuZyHzY2sy27CIZcABSG/rvl2IiHGv5hQDO2gWXpr5QWO8csSrO+c07NoaQhNYJotu2VqoHFl6jrUCV2Jp3/wTdr45wymjSkfEw4oQUToivV7FzlOPXpBBakxWjs+Ybk1Oa11YwFLohpZbNOcD06vHhjPbsEI05lGnOV09FVi+gTD6F6Uj0qdkIz0QI8JCFlA7MM35+hkAARr/yuE/xzJRfcOrexU7DwAAbTv1IgDge2JM3q126gNSXElTn7rmbG3MqznFZc2z0PKbo1888BkpJqepRx07b8wsf++NmdrpyW8d/1xgeLXy4YVnAtO7Yqn5q4F5oYUjSjx++6ZPYF1NNfec/pbcn90EBSwJab0XQIAAACsBnsuAJDkmRGI9zHNqYjK71p6f3F14/tHfZ2Hgaj1Dt6S23/o7RI12BmZz0S0vnQQAAEGPV7ruvP/vomu2fNgrLx2XEplhcI3Po1fidQnwtG+wcYTItOc3F6OR7h0AQCgQJanIySHGQq9UPvWdan3iqbaFefs4RiFEPzSt/LGo3nN9JJLbirGgxKJ9NwEIoePWpuuNmd22XTrN+csP8jB0DQDA8xiLhwrysX+PRft3qWp6LcGS7gdWsVaf+KFtl8co8+2LH6ymmT/SNOb2ckYDgSjJILQr9ebsC+e3CQK7Uq6MPlyujj6qqdmRiNa5hYZe8/w27fPOQojm6/Wp5yKR3NZopHuHLCcGIA+9IHRqpcbp7/m+mb9YoJix0DXN/FGBKElJivb4gVVqBWkuaON5XnM+Fu3bFYZuMwicWhg6F+q4cE4dtzYlinoHBAgHoV213coEB5wzFrr1xvRujAWFYEl3/eZ8SFsippQGDiHyP+pmbr8e6domCGqa89AXiJJoGHN788UjX0GQiLmObZ/StI5NshwfAAACx61Nnf85rLDCCiu8WYEIIRLXsliTE5wxyhzfZH5ok7jWIaSiPczxmt5c+TR1vB+7k+BPC6SoycjOHT8PJTkSVqsz/vziYUiwdLE72dXAMlHlhJJtztbHiCJEZp+a+Lpbc0oAAJAcye4EAMLa6eIBAAAgmhjFIpEDOzCIKkQSw6ktWMBHaXBhFg8N3Gbo21WIiUwEKUqSvddDAEE0MxQACIDTyJ8MPOs1aYz9pIEQwlxm2/tlObGqVBt9KAjtCqWBhSAREcIihJCU62ceU6TEYFzvuzGTXH+/pnZsEgXtb/zAKi8cqbzwzV997u72yUDoUZcGrYmZWXIWf/hnR35b1oV44FKLBiygPvU8Izg3bghcau/959HPMspp6DN37PG5b9CQ+xcrVjl1r4owfGTuQOkZLGIZIYA5B5yz1nGhG9qMcoYFJIQec/UOpWdqT+EJgCCKdWn9CMFXHFsyyiiE8GR9zpzAbfeXZTFoRnnoW6F5/vfh+Len/mn0B3NfA8tOOpSHbtO/QL+rcLp26Kk/PfxbCEFM9qIi+AAAIABJREFUQx5wxplnBheMmcpnGyd++GdHfmu5f4zy8Pz3B4BzY7spIuJFImEZIogRhhhAADnjzLdDMzxvUliZbJ567D/t/xSRsRLYockop4ETWr79slaZ2/Crz/7V0d8LXWozxunx701/MXQvDbwELnUhgs8unajuIyJqOXFBAAOHWuCfL30f3aZfhwj+aOl4dZ8gt6zZGQM0cEIr9KhzNXeyNyPtAMtl3fcuaPcGyDB4owSjL34vOOMcCXjPvj96/MPLfwtM/3I6kaBtIX5VfbV2qe2J9nZZ3IqVxzJ5tHJ06TlOOeWMURpQD4tERgSJLKAeC2ig9yfMwPDqi/vnnlQ79YHFZycfNGZqowACyEMWhG5os+DSrE8AAKBu6AAATl5uHwAAuCV74fjfPP87y+Wf9KL7sF1aPNPeLuaSQGS7/RS4sp7m81fqCwAA+A13WbvvsrCQhRDCZwA8FyB/+dime76O4VU1+64V5gWOkIh0+QvCGQgB1K9f834kYAmpko4kQX2dEoXekkSHN32QMxr4zdoMEkQtMOtzgdVcwpISh4QooWOWOA19pbP3eiESq4ZWMw+JUOOUeqHZWJDTuY0AXere/L/D65ri3A5knG5v10Q7YFAALY2Pi3U+XpG2GPMrPlAuplo/+1S9Of084IBTFly29t+yi6MQoj8BgPOmsXAQvEKkvt3/MgDgqfZ2VVyvsQAA+O1XatO+tn+CEP1z2zr70jat/v9be7uYIgDgP1zp/GHoNgEAz7W3K/EZAFrZRMsCzW8VMIZIFIGEMSSrBvGateuEjdUqK586GRwpFtjilUqAIjrSt2wVrldkeC69ulRi+dHTwTHP4yvCYyus8CZBv271exN3b/8VHFXTgFKf2r7BPN8SM7E+sSu1htluo/LYgc8jWfxfzPVfcz30GxGSTPTjWDTnzS0edsfOPBmUKxMgDP1lS/VrRYrLaRow3ylZC3ZcyTQmqycAAABLRF77sc1bQ9tv+oZXS67PXg8458Zs/QyRiLK4e/qh+kT1BOeXumrRwDM450xP9d2g6Nm1jIUeAJwFrlkkghJfOvPcXwMAXrikM29gCFESydjQXZ7fXAipbxGsJCHEoixGuwWipiNa5xZsLUYo9Q0AAMRY1CJKdkMuu/3/wIh8jjJ6RWH/tm7WK2qItScI5wdGrjyxaJ3PaG+XhQYsiOW0fyyO1g9LupAAEMJ9/zr2l5Up46pjwPPd3K7W1rOCV+zHcl/AVSY57TbX5IQYtjJ7rvqbTkMWgstPBs/BWtkF57/uFc/bzkQwwXmlZa9E+zO1weug2bDC24d2gKR01YavM+0AzMX3/IXlbW5g8ZAFfsMty2mtmzPOvLrzmhxMl2kHu6743Hsj8pMOFHI/dACEkJpuvfLI3v/PPrO4T+pKDsffueXnkXihFuwKF4JEJeY3a9NE0bJ2fm4/lrUUwoLMfM8Q9EQvUfUOCADwa+Uz0eHND3AauhAhQrRornL4+b+Vs11bpWTHutejL2/aGvb/Xc4bVFyl3U8/+g8AAFcK7vyE+/CWCu4AAMC27cKNv/Kr2u9FIjDa148HGQOskGcL1Sor/7fPNH8XADB9uePuvFO679d/U/v9SpkVk2mUNZq8QQggf/c567PgVQYoV1hhhZ8esZs3fETMJYcKX3n6j6jhlEks0iGk9R5quFUcUZJiV3I4dvP6DzeeP/l18BadPDHXrXMOOEQQI01NyrFoDiK0LIx6+FrPI6fUnLXYnNL74muTI5mdoK0/IsXljBARY27VKfTfM/wJu2jNB4ZXi/TF13LKgsbZynG/6VXbujIXwDkL7Ub+JCZSxDXLZwPPLMl6ZpjTwBVELQ0xkSCE8I2ySn4tqHJyyA+soiInh1Q5sYoQOR5ROzeLgpbhnDOCpZgiJQYggChkngEBxA1r8aVYpOeGipx8FLyKxbOfFI0laxZcg7PjCiussMK1wFrBnQoSsYwVQcPyhXpVK/x44WErOyps2iUeskDuz26S+zIbAAQQqXIMwDe/wcGPC6+SP6nm+m4IzeaiW5g7oA9ueD+SlUTQrM2ld9zmBkZtlvmeoQ+OvLc5ceKh+LodP6v2DN3mlRaOSMmOkejQhvc5hYVrHnu9Em+7AM8KKwAAQF8/HtJUGIEQwGwWdy3M0+mnf+g++oEPKj87MECGwRUCPPEESnkecL/3Pfdr77hFvOt/fd76s1/7D9qnb9wl3g5WAjwrrPCmAUqCCjEiYdVY8OYrY+qIeLOQivYIyUjOObt0IKxbBZLSuyF52V3krQZz3CYEACoj694tDa66mbtukzNGab0xDyE8cq3BEyWjdet98TWcckp96kZ642sAAKdTG7LXizE5VTq0+KzWGek7/g/7/tCrOcXV92/49cEPjPwKC6jnN72qtdi8xK2N0cBT47nnAre5wBkNGWeBZ9WmIcKiVVs84hrFsTdTcAcAAASipmUp1mdYS4cjascmQpSkZZdOT5Sf+qMgtMsIEZlgOaZrua09HTt/DSEiI4gF2ymdRkhYmeSssMIKb314q5Q3vi57XbtsayU7/idIqwyS89R7r/v11Huv+/Xz9yFZ0OBKjdYVcYuLR7EoR6ngNgKzucgCz5BTnRshhPORgXVj+tCG91XPnviu1rXq5ujqzR8KHbPUOH3wK0GzNu03qzNq98DNfqNyJefhV8VKgGeFtyXpNOpIZ1CH43C7WKSL+/b6u8dGw+McAJBKo4vFrM/hutzJdqCuT/yc+quFPF249Vbpno2bhO2CGIoYQ0xX7KBXWOFNAQ9CT8jE+rp+7d6/B4xTHNc6gkJ9qvy9F/+HN1c+lf3Z2/9YHshuRgK5rOXzWwEe+LY7NbNHSCb6qWHkAcYSFASF+8FVhVnPh8iCBhHEEEHsN71q7x2DP7Pmo5sHVt237h5zrjGe2tRxk7VoTLsVuwAAAAPvWds0F5qTscHkxtpY+fDFjkPL2PWl4+Ai/QeIEI5lV78TC0oMAHBZd6A3IoTIen/XzTcSLOkYEVnASgIAhOcL+/6+VX4GAGiXLEEIH6fUt7o7dv6aICipenP2BcaCt2QW2QorrLDC+fhNt3L6Cy/9IYAQsoD6Xs153fRlVrg6jd0nvxaUmrOccwYhgDiqZrAiRfxifdov1Kc4pcHVz/L2JLSbBbswdxAijLWewVshJpLWO3SrOXvmSXtx6gVrvv+G2OrN9wdGbVbrGbwFYqI4xfmDcia3GQmiysLAcfJzB16PvqwEeFZ4W5JIoNTBg8GeRx92v3H3u6QPfOtB51/zebbg2NyKRlEcIQgvp8PjudwhGBDTZM35eTpTKrGlZpPVJRFKggAEAMBKgGeFFd4E8IB6ECNBXtWxJaxZeePAmUcbL5z6JkQQRW9c96HI5lV3QIFIWFdSP+2+/rhgnm9DjP8OQIhASwcHYj2SETo71r+a7Biv7pQaZyvHoquSG4SIGLePmy/23zP8c+ZC46xdNOfSmztvnnt68hsAAIAIJut/Yfvq/Iuz34+vSW9zy/bilcRgIURIUuN9ghLNYSwoAEAYy64hsY7Vd9QWT74q156fNqKgZSVB76o2Jp5iLHTj0YFbw9CtA84v0TvinHOMhAO61rVPkqLdGIsRhATtp9HvFVZYYYWfJKyla/VK7mAr/Bjxi/VZiODLNt0QQgAABJwzwN844uFvRKjnNqVE5nP64Pp7OaOhU1w4HDRrM4BxSj23SRTtc+nrbv/d+IbrPhnaVon5blPJdm9jYeDwMHSbE6ce8aqF0au/0tVZCfCs8LaDEIj/659EE6kUynzko8ovcgDAxz6u/vJ3vu18udnktagOY4QAAgC4JErt+9wPQxCcOBEc/tqXnX8IQhA88DPypwQRiKIIJQDAZYW7V1hhhTcWLAhdzhj1FytnrOMzzwLOWfYjt/4nHFOzgAMGOAetmnMp9tPu648TKIqakE4NkVRyFeCA4WikE2laClyjaQAAANTHK0dzN/Xd25isnpATchaLRK6Nlg6IMSkVG0ptrpws7q2dLu4HAAA5pXSmN3XcVNgXPOkbXtUqmFfUb4llV79Tzwze6tvVGTXes02QtDREWEIIC5X5Yw++Dpf/E4Ox0Aup12wYcy9R6hsYS9FEtP8WRU4OgctMZjCWdFHQMo3m7B5VSa9FEK+M11Z4XUEIQoQBJhgQhCCybXZJlhgRIFFkqAoCEDCGhHPAGeM0CEDg+dz1PX5ZN6MVVljhzctFiy4rAZ1XgVcrnQUA/M3l9oWOVSGK9ldetTiqD218PyJEsuYnd7uF+UNueem436hOcUZfl0SBlQHDCm87ZBmqsRiMj6wnW/a84D9dLrG8YfBmucQKjTqraRGoY3z5AE8QAA8TIHzwg8on3vlO6b0QQZjLod6TJ8JDkgxlAEDjJ39FK6ywwquF+6FLG3ax9tSRf3Emlg5JueQQlETN3X3i36nl1jIP3Pz7oirp3A+vKsr/ZgViTLRtW96LY9EuIZNeDQVBARiL3tTMi6/mPE7ZWlh8fuah3E1995oLzQktpw8IETHGAuo1p4unpx4d+5fAbpV9aZ36QHIku9OYbYyFbmh7VfuK6feCrHcKkpYhopr0rMoU4Iwq0ezaZmlyN/Wdy9r6/rQhRI4qUrwfAIgAAIADRjljAYTIc73GrChGOly37pSqp7/r+Y25RHTgdlmKWW13TQAAAKKgpTLJdffF9b6bNSW9DkIsNIzZPW9FR8sVfrJks7hz42ayQ5GR+r73yyQaRfF0BnYwBpmuo782DNYEAABdR/rQEFn30Y8q27dsE67v6cEDiQRKBQHwDYM1FxfY7MTZ8PStt0lHzpwJTxULbKntFrbCCiussMIVCB2rAjH+anPi5EMQQtTO3vFeb3OnlQDPCm87JAnIsgyVxQU6yyigq4fJyJ4X/Gc4AKDRYDVRghJCrcH5xRw/Fhz8yz83/1AQgCCKUMpkUGe9zqvTU+F4s8HekBOOVwJihCFCBLSul4N2GianLOR0ZSKxwmsDiUSCBIsAI4IEIuGomiYxrSOsm3lvvjy6/B2DGGEkCorUmx6R+rIbhZTejWQxwvzApqZbD4r1KW++MhaUG3M8oF7b6vTa+yEJirZ54A5lqGs71pUUCKmvbRy4BYpE0Taveqfc37HJObt4oP7M0S9JvekRdX3fLWIuOQQJFlPvu/63u3/jvo9dfE4/X5uoPn7wC9R033T3/TkgRDgW7QIQImrZVX927oDU33c9Nc1XZZ/LGeeIoCf9plfLbM/dpvfG19hFc66wf+Gp4sGFpwPLN1ovB2F6SyeonCi8iEWsNCarJ6hPr5j1SCQ1ZTeWjkOEhcA1CrXF048M7rj/83IktRoLcvS1Xv6Pg6jWtb2/65ZPc04DUdCyHHDq+Waes8AVBDWFkKAY1uKhhjH3EuecAQRxf9ctnx7sfWeZUt8gWIquXXXvWsaoX66P/6Azvfn/Z+87A+SorqxfqNjVOU5PjpqcpJFG0ijnnFBAEiJjg3EAZ6+N7d21Wa+zvV4vNjaYaKLJCCFAOc9IE6SZkSbn1NO5u3K974fgW4xBAWwv3uX87Kl+Ve/VdN1b55573g5FjY9mps6+O9EdOA8AGP+fnuPfCghBSNOA0TSg6vqfkwU0DSkAAFDVP29pgxBCjAHGGGCEAIIQQF0HuqoC5f3arP9RgDFEmAIURgBDCKBhAEPXgfbe+V8tamcy8+/9d+tvLRb0Z7+foUG9b+/r0gsmE+yYVsPMvue7lu0105k5KSk4bWBA62luUk+dOK4ccHuwb+VK9prZdXgRhAAGg0bgbIt6evcr0jNOJ/pTMGhMfrSZXxoYQ4QxoDAGGEIICSDAMICua0DTtL+OByJFQYqmAX1RrQQMwwC6rgPjk9aUT/AJPsFfAxeNrMHfNHf8hOD5BP/ngDBEGEMqPR1nj44aQxPj+qjfj9I1lSixGIlYbdABIXhfgmd0VB9GCD5gGIRgDBHDAFZVgWoYQP9HSCYRS/PYwjuxmXfSDrPftba2lMvyVTB+Z4EhylFIIVoLJ8bEzuF6c3n2GTUQHVRD8RFDUj6UwSeEEDJ+Ry5lE3wfdAzRDEUZC/Vo0eRlE0OIEWa89mxs5h2GokqGrCWJoiYNSUkYspr8W5JSkMIUNnNObOadiKV5iBFliEpcGQ/3GLL6SWvee4BoivHtWvR9S03BagABBBAiSGEG0piJHDz3xPgf938HUlhiUhx5zpU1S6wzCtcxfkc+0YlmiHLMUFQRm3kH7bSkEk1X9KQclfvGW6LH25+n3ba3tFBsmOhXRvSYCtNnpty49EeU1eQimq4AgxBsNbkRQ3OWafmr1EB0EAucnUlx5EKa4rgcX6UajI8wKfZcy7SCVVokMaFFxQBRVJFymP2025ou9Y41Rw6e/SP4CEEac4zw9u/RAVlaAIQYhqwm9Zg4qUUSE0T7m5sZEi0Y6tcmg92mqorNWijUx2SkVWOL+QON5j8IhmboAIATmKWaKI4yGbqhaUk1Tt5V1SeEEMxS9Se+t+9GAADQJS35Qf47AACgitERTZUiCNOczTdlKWOypyNMcboqRSBEH8v8hWNtWfHkSCOFeTtCmEmIkxcisb7DGLNWAABw2nIXYcQICNEcTfFOCBEdSwyfZmiz12HLWYQgxcpKbHgy3LHbMDR5aLz+t6qanEz1Tr0Zgo/nnP9acLmQ9zOfFb7R2qo11Uxnzr/zOUUB+o7PCHOjURLmefh7USQiRUHs8aCUujlMUVk5Pa2khKrkTdAsCNA8Pm6MvPCc+JjDiU5GwiR4udgsCMhss0E7b4ICz0OBpiAF3yaLCAFE14gmyUCKx41oNELCiQSJ/a3iPc9D3u/HGes2cDNqa5n5WdlUntkMLWOj+vDZFrVhzlz2SH+f3j0+ro9IErmquIMxRDfdbEplGMi0NKv1ikJkmw05s7JxHm+Cwuw6ZvG12/lb585jlykqUZqb1FOPPpz8dShoBFLTcGZuLi7MzaMKKRrS/f1adyRCQpkZOGfuPGZJRSVdM2s2s7ComP63jgvaufcSdB8FFAUpjxel+FNw+sZr+MLSUqq6uISqdDqxRxJJcnBI62uoV49OncYcG+jXe0IhI/BhyR6MIbpmC3/91mv5mxNxEuvr1Tu7u7ULvb1aZ810JgoIIKJEkgP9ek80aryvYhshCK1WaHd7UIrJBIVgkEwMD+n9/wg54nsBIYSUy5pGO4QUohnKxViYDFwqNmEzb6dsJg/iGDOkMEN0QzMkJa5Hk5N6XApebYHmE/x9gc2cnfHYsyBLm+C7tkQnBBBlJNipRRJXVQD6OAJiTGEL76SsvAsyF3dUJYom6Uk5YiSliC4qMaLpH4lM/5/G/+pk4RN8gveDoQNdVYhy6JCyt71Va6IZwLSe05py86hChoEcRhBfahPAd4L02wnMP0T7BmJpXijPXujbtWgpl+UrZ1KdBbTLkkY0Q0mc6zuojAW7rDMK12GBswMAgH1++U5DVpPy4ERbsn3omK2uZH+iuWefFhODV3NebOYdKTcu/bGltnA9hH+5qoQQYkhqfPKFYz9FHPPDyxFJ2Mw7Uz+79nd8vn+aFoyPKOPhXqJqkh4VJ9VQbMS5smZAGQl2ip3D9ZdSVlA2wWOuyFkUb+5+U4skA+98DilMC8UZdXpcCkm9Y82EEIJoiuXyUqq9m+cs5/L81WyaqxBbeBfiaJM6GRuKHDr3JJvqekQenuy4mrX5uADRFMOkuabwOb4qymVNI7qhqRORfrl3vEUeDXZ+6CCHIWUqTJ+lJ6RIvLH7dQAAMFfmLOEL0qazGe5i2mvPNlflLrUvKL+OTXMXSf0TZ6PHzj8n9Yw2Et3QEEuZzFV5SxmfIxcLnJ2yCV7W78w3T8tfmWwbOBZ44diPIUavXQnJg0ysFXGMED7Q8nj8TPceAABwrZ3xBdplSdOTSjT8VuNDACFsrspdihiaD75y6j+ViUi/b8eCf1YnY8Ph/c2PKKOhLjbNXeRaM/1ztNPiB/D9VX6XA6QxzeekVJmKMman3LysiE13FTGprimU3ewDuq5pkeSEPDjRmmwfPGauzD0kdg6f0hNS9MOc64quByNKj8cntMnJbqFm2nXA0FUiybEPOx7CkDJn2AoEvyWbd5n8uWuLosNH+195ZwctiqcFiqVMhBBDDoqXVKMQAAyEaT422XeMt3gKHf7i1ZgxOSHCjKaKoQ97jX9LIETzFMXZVTUZYA1rumEoCZslsy4SGzhGiKHFEqNNHGvLYGjBByHCqiaGCDHUcKz3sN2SMVvR4mO6LkcNoimKlgzohhIHgABNl6Pgf7kXQixmRESRJP/1+9b/5DjIv/fvLS1qw+uvSy/4/djYdb1p0+Kl7DrP27thpqXjrCf/KP6ut0fr2LiJ3/XTX9gfOXRQfv25P4mP8jzcJ4rkz2I1QhCmpqGs2XXsom/eY5mRk4uneLw4xeVCXoYBLIQA0jRkAABAlokUCZPg0JDe39urdTQ1qiczMvGeoUGj/6/VlsQwkKmsomd88cuW9fPmMyuysqm8oUG9T1GInF9AlZSVU1Orp9Izd+6CdwwNaX3Hjir7ZtQyrzY1qidlmVzRNtIsC/nUNJw5GTDGP3VraCPPQf6224Uv+1P5DJsN2u/6ovk74ZARbGlW67u69fM8B01Ll7HrTSZo7urS2zAC2JeCU1ua1Ybz7VqzJBFx+Up2k8VK2e125Fy7nrs2xY/Svvvt2OcBAE0fdU0whig7Gxd86tPCxll1zKKMTJzj9+N0loXcO8cMD+v9FE3Rc+aySzQVqGfOqCfqTymHa6Yzh86d1c6IonFVORrPQ2H+AnZ5TQ1T9+7PDYMYiQSJRyMkFAwagYMH5T02O/pRJPzfym2rFdmKS6jKW24z1ZSX09PKyulpXi/yv/WW/Mq3vhG9A/wDtvAz6e7ClBuX/EgozZpnSEpc6h1rlvsnznmvnR/VI4nxeHPPm8pIsJMYhDBua5q5Zsoa/20r6vgcXyXltKQinrEQRZPUYGxIHphoTbYNHuXzUw/K/eNnDUX70NufcxmeInN13nKi6YoaiAyoE5F+ZSLSbyTkyN9baYUYiuWyvOVslq+csgs+ouqyMh7ulXvHmpTxcO+VFqI+7LlpnyOX8dqzKbvgxWbOAWmKgxhRWjg+pgwHO6S+8ZYrKaACAAAWOJt369xv2uaX76Rsggfi/y4qEMPQx/944LsQo3/7axRTIUaYdlnT2XR3EZvmKkRmzkEUXdJCsRGpZ6xJGpxoJepfv8jFZfvKPZtmr+UL02rZdE8xZTN5IEPxekwMqhORPmU83KuOR/pcq6b3q8HYkBaMDWvB+IgWSUwY6of/n/174xOC5xP8n4OmE90gwFiwgF2RX0AV93RrF5YuZdedPKkettqgXZGJ/I9XZ/lgYDNv9+5Y8E1zVe4SIyFH5OHJC0ZSiuhReyBy+NyThqQmzZU5i0JvNj4IMaaFsqwF6mR0EJtYqxYTJ83VucuttYUb5JFgh3Np9aORw61P6aIcv5JzUy5LGuN35OnR5MTE04fvlXrHmrk8/zTXqumfAYCQwIvHf+7eMPvLfH7qdMwzFgDApQkeC+9k092Fymio6231BBDKsxdqkcQ45hizML98J+2ypA3ft/tOAMDuDxoHIgjtS6pucl9T97W8H97y/6uguT+4CdNOiz95fvD4yO/23G2uzitN+/y6601FGbOxmXMQw9ARS5uS7YPH9LgUNBWlz3ZvmPUly7T8la5V0x+Inmh/QQvGR96bYCCGYimb4GX8zgIux1dBe2xZtNuajk2cDWJEAwpRwACEqKqox6SQMh7ukfrGz8r94+fUiUifHpfCf82kBdGYphyWVFNR+qz0uzds4LJ9lQAjCptYKzKxNkNUYmogOqiOhbpda2v3J5p79qnjkd4rve8AAECZeSe2mTzRY23PBnfX/5djceWNyMRaiapJfE5KVdqda35Lu6zp8mCgbfzg/u8YsppEPGvGZs6hhuIjbI6vwlSWNU/qGW1MtPTuJ5qu2BdV3sB4bJnm8uwFjNeeFXj+2E8Qx/zhcsQgxIgmsiom2waPxBo6XgMAAKEkM+7eOPvLlMPsNxVlzAIQokRL7z5lNNRN2QSvbXbJZtpty1QDsSE9nBizzy/fwWZ4SpWRUKeSEsq92jWnrCa3qThjVvpdG3cyPnsOFjgb7bZmQIbi3yE/1ag0oUxE+mivI8dVkDbDsbT6FmUs3Jty/eJDsdOdr8l9E2e1WPKqSNZLQtc18XzHG0SSY3JX90HEcTY9npiQzndcscHyO0AUojyV/rnlt9duinQHW3ivkJ5al7Vm7OTgXlNX6CzCKMBYWWfV52f9OD4Y6cQsxQeaRg5BjPZ8UAIcD/afggAiTUlMBgYan1TlRABTjCkRGmqUE8Hejzz/vzIghDDNNx1QiLWMR1ufYxlrhtWcPmMy3Pk6QhRLAGEkOdQjKZF+BDErK7FhCrM2gXdPMQxNmgi2v8hzzlxVE0OGocsUZq0QQsQy1jRCdJUQ4x+6ong5SBKRNm/lzw8P6f1/eDDxy7Mt2mmMAbZYoO0rX7Pcm59PFX/9nyz/np6Osyka0vvfkncHAsZYdTVd+8Lz0uPP/0l8VFaAPDRk9N9xp/D11Wu4LbW1zLxTJ5XD8xewDzY1qicTCRJLTcNZd9wpbF2wkF3p9SI/b4KCLAOpt0frePjBxK/On9fOQgggw0CWN0GhqoqesXgJt7aqmq7NycUF8+azy3fsNH3qsUeS95kt6Il4zPjQhCjHQa6klK769nctu6bVMHV5+VQRw0DWMIjhciOvphF1MmCMnzmjHn/pBfEJmoFMXR2zaP0GfsecueySnh6tY9ES9rH6U+qRy7WJUxTAggDN8YQR8/lw6uYt/I0WC7SdOa0cnzGDmSsI0GwYyMgvoIrLK5macMgIHj4k721uUuvNZmRZuIhdxdCALZhClaSm4ozBQb2rvJXzAAAgAElEQVTv0YfF/xoa1Hun1zLzNm/mbphWw8z+3OfN33I40KdDIeNDPasQgtDrQ/7bPi1cN2cOs2R4WO/fv0/eXVZGV/tW4WveOY4QQF57VfrT4UPy3uISuvLa7abb5s5jlpaVU1O37+Q/1daqNS1bzj107Kiy7x1vocuBEEAIIWRiQh996knxgf5evSsYNALhsBGURJKkaEgvX8FuvOFG02fPtahn8guos0XFdMWMWmbe/Q86yg2d6P39endTo3rqyGHlzVs/JXzRakV2XQf/cL9dxDEmz5a5u9g0d6E6Hu7FZs7BF6ROF0qz5kOaYomiisn2waPDv9n9WcfS6jkpt61YBSFEylioJ7y/+VE1GB8miirSXnu2fV7Zdtvsks2WaQWr1GBsOHm274C5MvdxqXukUY9LoavJbyBGOOWGJbc6V02/ExBiGKIc05NK1BDlGFE1KffeGxQ9IYVjDZ27I4fOPfHuAgmEECKOEZCZczBee7apOKPONCWt1lA0MfDCsZ+KHcNXtEU1YmiOdlszhNKseRlf27KeTXVOARAhymryQJbijIQcVSejg8pIsNO5fNobiXN9B9VAdNCQlMSHuRfvBjZxVjbdVWiZVrA6657tdZRd8AGIMGIoDkAAIEWxlM3k0ZNyVA1EBw1Rjvp2LNwfPdH+vDwQaDOUD1acsxnuYvPU/BXRo23PxBu790Ias3x+ao21tnA97bPn8AVpMyBCGHzIHYOxwNnYVGeBuTp/edY9O+bSLksatvAubOYdkMYs0XTFEJWYHpdCyvDkBdfa2j3Js30H1WB0SI9LoY9CLNFOS4p9YeUNGV/etItyWPxS71hT8NVTv9ZiyYClOm+5fX75TmxirZTTkooqchYDCBHRDZUoqmhIasKQ1UTO965PEE1XxAtDJwPPHfvR1eTEf298QvB8gv9zeLtXW41GjfCBffJuCAA83aAea2tVm75wt/k7/X16FyH/eyqllF3wORZX3Tjx9OF7E03db1jrSrbw+f6aZNvgUTbNVchl+Sr0hBQmqi7z+ak1aiDSn2jqeUuLS0EtEBkwJDVhmVm0wVZXvNm3a9G9FzW7+KErUXZgE2vDFpOLqLoijwQ7aZclzbG46kbaY8siuq5SVsENDEMnuq4QcvlKKGJpAUKIiaQm+Tz/VFNRRp3YPXrGkNUkZRO8XJa3DFKYBcalX4TUUHzcu23eIde62rsTZ/sO6NHkBAAAIBNrY1IceebKnCVpd675LT8lbTpiKJPYNdIQOXzuKcZnzyYGMSaeOXyvOhrqESpzl3i2zPkGn+eflnLzsp+aq/OWTb588leIoQ4biiZDhBCb6Sl1b5i1zjJjylo2zV0IIITAIETqH29RhiYv6KIcgxhRkMIMtvBOLsdXaZlZuAEACIy4GIqd6Xo9vL/5EcRQhz5KxQuAi8kN7bFlOFdO32ibX7aDy/KWQ4piDUVNyv0TrYiheYgQUsZC3fGGztcom+BxLpv6KffaGV+INXTutkzNfznR2n/4SpIUbBO8kMKMISpxU0nmHDbTW5Zs7T8EKcwwfmc+J3B28cLQCUPVZMv0KWul/omzYudwPZHVpGVq3grr7JLNRNVlQ1RiltrCdYAAInaO1Cdaet9i/K4pfH7KVO+1876tJ6UIpPCTl/x/NIgOGYqjrLwbAAAYnz3Lu23+zeaq3KUAQqhNRgfjzT1vQQozlE3wGLKa0ONiENKYRQzFmYoz6pKt/YcnXzrxH4hnzHxB6nTIUH+hMHjfNccIczkpVSk3L/ucqTB9ZuJs38HwvqaHabct3bGk6hb8rnESTT1vBV+t/zWT5ixwrZ7+WTbTW4ZjYtCxtPpWx/Kpn4rXd7wilGbdnzw/eOKv0b5FCCEQ4yDlsGdimz3dSCQnIUUx2GZNBQAMXXaAd8Ga5ShOm5+9geiGSnGUwAiMTUixZJnTrHm8k/dFKEQTQgyIITXeMLzPPztzVcbS/O2RnlArAKDv/cZ0pBStUOV4wDA0WU6E+iFED3FmV57VkzdfTob7AQAD7/e9/ykQQojHUTigCUpc4D2FshIZpDBrNYgmmU2+cpoyuXVDSWi6HNF1JcEyF7dAZ2mzj+dc+bqhihhRHMa0QFGcXdeVuG4ocU0Twz2DB/5V1f6K5N7HFKl+nCHLRDp5Qj0UCBhjpaVUdUeH1jo8rA8UFVMVi5ewaw/sV17b/ar0THY2LigpoSqff058rK9X75xRy8wrLqEqMzJxTmkZXd3ZobW1tGgNhYVU2U9+Znvo4EHl9bMtasOq1dxmhABuaVEbBgdQbyBgjDc1qifr65UjXi/yFxZSZbl5VGE8RqKtrWqj2YysobAxefIJ5eD+/fLu2pnM/F27THd87RuWH3h9KNVsRj+Nx6+e5LHakO26XaabN2/lb+zq0tof+H3yF3V1zKJ589nlThfy2O3Qeb5dbTl0SNk7OKD3Ll/JbZw2jZldf0o5/IN7Y18jBBhLlrLrvvkt64/375N3p/jxj0dH9OFLnBICCKCmAjUYNCb+9Iz40Nr13PZpNUxdY6N6Mj0dZ8XjRvTZZ6SH8/JxUSRCQhhDqrCIKo/HSGRoWO9nmsDJyYAxceig8vr4uDGSm4cLV65iN9fMYOZEoyQcieihmbOYBes28DtoBv5GVchVP6fKyqmpn7/L/J1Zs5gF3T36hXiCxLZdy9+Sk0sVJBIk3tmhtUEEYF4uVThnLrMkv4Aqrqikp1ss0NZQrx453aAc23qt6eaCAqrkjjuFr8+uYxZnZFA/HRjQei93bl0nuqYBTZaBdGCf/FpDvXqEEECcTuQpLqEq5s1nV6zfyO0QBGT5ytct36dpyHIc4MxmZB0a0vu//y/RLx4+pLyRno6ztl7L3+LxoJTGRuVkImF85Bf7vzcoC++yVOcuix5r+9Pkyyd/SbutGUJ59kLbnNKtiGcsjM+Ry09Jq/XtWnQvn59aE2/sel0LxUe53JRqoTJ3iR5NThiyKvK5KdWU3exVJ6NDibN9+/W4GGK89py0z675XeJs34GJpw/fCwC4CgU0hNjMOwEAQB6avKBFEuOGqMQuEj1yxIhLIcTRgnfbvHuMpByFCD6JOMbM+J0F9gUVpXyBv4bN9JZBjCg9mgxgi8kl5Piq4qc7dwMALkvwcJneUvfGWRttc0q3MX5nPqQwoyelsNQ71ozNnAMhRCmjoa54Y9de2mPLdG+Y+SX3hllfjp48/4JQlv2K2DF00pDVq1b/v5NL+HYtvNEyo3CdFoqPSr3jzZCmWC0YG4k1dL6qRZMBc2XOYtvcsu3Ro23PJs727jeVZM61L6q43javbHvojTMP0C7rw+pk9H2fE8pIqNOQlLihqMlk+8ARS03BasQzluBrDfc5llbfSllNHvCutq0rBaIpxlSUPivlxiU7TMWZdVo4PgYhREyaawqiMAMAAEQ3NPHC0PFk+8AxNsNTYirOrDNX5S7VYuJksn3gaPxM117Ga39NDUT6L9Xa/X6gnRa/b+fCf7XOKdmqjIa6J184/tOLRW1EuTfM+rJ5WsFKsWesMdHc/aY8FLyAGIpDJtbGZfsqIEPxpilpM7DV5HlnPDbNXRRv7nkTAHDwatfi74WrInh4HvIrVnKb5sxjl42P6cPHjir7enr0C7JEpESCxBIJI0FRENvtyFkwBZdOncrMysrGeYIZWqJREunu0tob6tVjPT3ahXiMRK7WLI5hIWO1IjuCABECCIQAIgQQgAAaOtDflvf+xY8GIQg5DvK8CQoQAhiLGpErlbSaTNDkcCJ3Xh5VVFJKV02ZQpUKAjRHoka4rVVrOnlCOTQ0qPfG4ySmaVdvfmc2I7NhAJJM/vfDH2N4scoSJ7F3y39ZFjIcB000DRmMAVY1osZiJPJhAujfExQFKZMJCiwLOYQA0jSiiiJIShIR/yd6kgm4aJwXDBoBQgAJhYxJrwelrP6qZUtpGTV1MmCMYwzwe7+HMUQlpVT1+g38dn8qykAXW7kgAAAcOSy/+fij4n1X23eOMcQWC7T6UnBqYRFVXlJCVWVlU/mGAfTREX3ozBn1eOMZ5WQoSCZEkSQ/1HoZRCeKJgkV2QvNU/NWcJmeEqLpCmUXfImW3n1clq/CUNQkpCkOmzg7UXXZXFOwGps5++TLJ38Zq+94BZ7p3IMtvMtaW7jeubLmjsS5/kPgfbb2fS8gTTGIpjiAEeVaM+PztMOcYiSlSOJc3wEIAJR6RpvAgvLr9JgYJIp2WT8BYhgaAIRwOb4KQ9Wk4GsN98mDgXZs4Rym4ow6LZwYo12WdD12+fYNbOFdykioc/zRfd9SJsJ9lFVwQ4YyMV57tqkwfaa5Om+ZMh7unXy5+VfKSLCTL0itkXrGmqMnz7+oRZLjXE5KFZvuKkQMxRuKKhpJOSKUZs7jsn1V4X1ND3PZ3qedq2oW2OpKtkCMaW0yPqzHpbAeTU7EGjp3S73jzYYoRSmb2YetvMtIKjHLjClr3/b4ERJtA4eJpivW2sINQlnWvMkXT/wcm9gH9OSHa5/BPCNY55SucS6tvhUgiIykEiOKJkGKYjHHmPk8f7U8PNkZOXT2iURL734201MCMPIrI8HOi+tqTfddt/B7YvfoGT4/9T6pZ7TpUtUUiBACABBCgCF2DjdAjGjnypo7KIfFryekMKIpThkLdcsDgTbKaU6lnRa/Y2HFLmIQQ52I9EWPtj5jKs2ah+2CL3bywkvJ9oEjWjgxxmV5K2iPLYsomoRMnM29buZdUs9YIwDg3AddixZJjAMACOUwp5impE13ra3dATDE0ePtzyfbBo7Iw5MX9IQUph3mFFNRRp2pKH0m4hhLaO+Z+6Mnzr8oDwbaASEGRAhDK+XCFt55JQkapDFtnVG41nPt/G+zaa6LVVAL77TNKd3KprqmAAhh8lzfAUNU4lxuSjVfkDrdc+28e2i7OYX22rKlnrHGyJHWZ5zLpt5G2QWfuTpvOT8lrTbw4omfI455+MN6Y737HnF5OXOYjIwa7LBnII61IprmIIQYAHDqSsdBGOHCnVVrxPHEEOs0+Wx5rnJHoXtqtDfUpsTlMOvg3AgjSpd10VANGSKIQhcCZyCCSPBbssF7CB6K4e2c2Z3vzZlRpYiRQU0VQ5zZxQrOdK89pXC5zVuwSIyNt4OPGcEDAADBaM++aGLkNAQAIkwLGNGspisJw1CThBg6hVkLgIgyDFUC4KJyC0IIIcQ0Ibqm6XJU1+WoYfxj9/9/WJgtyIopQPn9KH3btfwtEAJYN4ddnJ1N5QMAAEYQ8Tw0bdrE7RofN0bPnVPPVFXTtWvWcdtCQSPQ36/3eL3Y/8xTyYfqT6mHTQI0KwqRMaapWbOYBavXcFv6evXO116TnrPZoKOxUT15vl1tycmlptzzHevPPG7km5gwRhsalKMjw/pATg5VEAwagccfTd5nGMAoKaGqrBZo6+rSznt9KPXGm4XPDwzoPRQFH7sa3xeHAzk//wXzNxcsZFc+96z4SEODejQzC+dKEhE7O7V2ph90Dw3qfWdOq8cTCRLbvtP0qcIiqvzMaeV4PE5iNdOZOpoGTE+P1nHsqLLvxptNnzebocXrxfeMj+ujlzq3x4NSFi9h11ZPpWeaTND81BPi74uKqHKrFdoPHVReT0tDWQwD2YlxbXR01BjMy6OKUtNRliwRsaFePUoIILl5eIo/FWXMnMUsqJvDLt79qvTsG3vlF3PzcOEttwp377redMexo/I+cInn8nuBMURV1XTt3V8yf4vnkenUKfWww4HcCAK0f5/y6gvPS+HqqXStzY6cw0N6/+5XpGdamtWGgilUaVoazhocID373pJfZRjAPvOU+NDIsN6/YBG7atNmfpfbjbxZ2dQ3+3q1rktdg6YDVVWJ8ra/02KTCQozZzELiorpCp8PpUoSSZ46oRxavZbf6nYj38H9yp6xcX1kw0Z+J4QAchzkV6/httTNZZdWVtHTOR6ahoeMj91z6kqATKyN8TsLwOmuPRBBzKa5CmmXNS2098wDaiDa790+/5+5HF+ltbZwPTGIYZtdvBlACLVQfDRxtu+AMhHpo+1CCuOxZSSae9+KHGl9WuoZbTJUXcICa7PWFm1wrZnxeSxwNi7T+y15MNB+Rf48xDCIYeh6TJycePbID5KtfYcMWUsSVZMhRhTtsWU6V9TcgS0mt3PV9M+yqa4pXEHqdMZnz6ad1rTEub6Dky+f/KUyEuwihqF5NtV9lUmx517OgoCyCW5bXcnW1NtXbjFUXSaaLhNNVyCNWcrMO4XizLlS//jZ0N4zv0ueHzzO+h35RNVleSDQpsXESS7DU2KuyFmcbBs4wmV5fysPBFqv1I8IsTRvm1t2jWvNjM8CQEDguaM/SrYNHGHT3cVshqtI7Bo9rYyFepxLp97KZnnKgq/V3xd6/fRvAYCQsgleiBGNedbq3jDrS6ai9NmmKWnfEzuGT/2FcsogBqQxa51ZvIl2WTOU4WBHeF/zw4zfkYcF1gYIMd6JW1cCCCHENpPbvWn2px2LKm9QxiN9wVdP/RrSmLXMKFwLIUSGrCaJYegQQqQMTXaIXaNnIE1zXE5KNcSIVsfDfUJZ1gJLdd5yccHozuDu+vsQxzx/pfkPNvMO79a5X2Yz3MVjD7/5DbFrpIEommibU7rNXJWzBFsFT/RY23NEN1TG78xnfI6cyJHWZ/SRYJfcP3HOVJxRZ8SlkCEpCdrnyKZd5jQ21V3IZXhKIEKHP66eUldF8JRX0DW3f0b4GsdB3mZnndfuMN2mKESOxUjk9dek571e/Muly9m6lSu5a9we5JMkIGoaUREEqKyMylu5ktukqERpO6c1vvqq9GxmFvXW8JDef6VBcd48dvnn7zLfw/NQSCZJnBBAEAJYUYgUj5PY4UPyXp6H971D8lisyJqWhrOWr2ALKirp6WXl9FSTCQq/+mX8++AS7RsAAGA2I0txCVVxx53m5dVT6Zn5BVSJzYbsDAM4XQdab4/WWV5OT7v5VtNdZ5u1hoMH5D3lFfTprk7tfDJJroippyiIN13DbcnLp4pWreZO6vpFyds1W3hHTQ0951e/jH8PANBjtSJbYRFVduPNwqyKCmq624tTVIUoAACy+1Xp2bR0vHtk2Bj8oF5whoFMih+nORzIbbFA2ztECwAAqCpRFAXI0agRnpgwxoKTxvhH3aXhHbAsZLOzqfxrNvO1M2rpeenpVLbHi1ICAWOsqVE91dCgHM0voFr7+/Ru5eJ8PhIwhsjjRf60NJxps0EHIYBIEknKMpDjMRIdHdUHo1EjiiCAGAHs8+FUjAEOh43JzCyc196mtkgiEd0e5GMYyL53fKsV2m++RfhCih+nd3RorRwH+KpqqjYri8ozm6H1lZekpwAAgfe5tL8AQhCm+FH6ytXsrPnz2RWFRXRZdjYuYDnIMwxgwmESHOjXuxcuZlfLEhGPHVX2HT+m7MvIoJqHh/UBXb/yRJKomqxFEuNsqrMgvK/5keCr9f8pDwcuEFWX3/E+kXpHmy01U1bTXlumNDDRyqa7i9RAZMCQ1aRzRc3tpuKMOkRTXLyxe6+trmSLZVr+SohR52V7ixHEACMKYkTpMXEy+PLJX0IKs0Jp5tzI0bZniKYrAEKsTsaGDFm97MOaaLpCCCDxxu69ow/u/QoxiG6uzl3G5/qnht9sfJBJdU1xra39gi4plyVBKJvgMyQlASlM2+eUbaOcZr86GRt6R5lhiHIserTtWURh2jJjylrxwtAJZSTYaakpWMWkOPOJrquAAKIGY8ORo23PJs8PHrfWFKyyzSnd5lw947P2BRXXQQozsYaOV5XRUBeT4shLNPe8qYxH+minJdU+v3wnl+UpIwbRxa6R02LXcL0yFuomhqGF3mx80EhIYcoqeEyFaTMphznFc03d19++3j9crS8OZTO5Xetm3m6dVbwp2TZwNHLw7OPYZvJYZxVtstZMWQMggMpEtD/R3P0mMQzde92i7zEea6bUO9YUa+jcLfWNn6Uc5hTaZU0TSjPn+W9d/ovxx/d/G0K4/1LSaogg5jI9pWBW8UbHkupbDE1Xosfa/gQgAIzXkSP3T7QK5dkLaLc1Q+wePRM52vasIalxxu8ooN3W9Ojhc0/Jg5PtxDB0Ns1V5N44+6tsqrNAGgi0Bl44/hMuy1tumVaw2rl82qcRx3z9gwK+Mhrq0kLxUXNV7lJTUcbs+JnOPZFD555QRoIdAADI+J359oUVu2yzSzZfrAwSEjnS+rTYPdpI2QUfk+LIxWbOSVlNLtpjy6LsZr8yFrrkiwK6SO6s9+1c+K/EIIY8MHEOW00e2mPNMCQ1ETne/hyb6prCZnpKjaQcEbtGGpLn+g9JfeMt5mn5KzHPWuWRYAftsqQqo8HO0Oun70cmxuJcNf1O77Z59wAAAGLoP1xKbn1ZIESxebnzsMXi1QKBLiUWHyOaJuvR2CVfEN8LIdWSw3tMqYyVdZp85gxpUhzTJDUe7phsBAhi1sH7IIKYaIYOIED2Ke5qLanEpJA4juiL1bt3w+LKnu3wF6+ECNOCI22q1ZM7X5UTAWJosmHocjIy0mJo8seyIq7rShJcutX0imLE/1UIArT4fDj15luEu4JBI1B/Sjkci5FIRibOVRQip6fj7FmzmYX1p5QjsRiJ6DrQ9u9Tdusa0XJyqSmr13Jb/X6c/sDvEj/3paDUZcu5DWYztP7iZ/F/Liyiy+64U/iGwwk9y5ezG9/YK78gS0Tass10U1YWzpuYMMZ+d3/ip0NDel9VNV170y3CF8QkSbz1lvRqRgbOIQSQYNCYCIXI5B8fF383fwGzfNcNps/ceJPwucbT6gkAwPnLThBczE0/c6fw5Y3X8NedOK4chAigNWu5bYZB9CceF+8Ph41gZTVd6/Mif2Y2zisupit0nejHjyn7x0b14axsnDdlClX6x8eT97++R37e58OpzU1q/fqN/M7mZrUeY3j/pYpNDidyb97C33j4sPyGIgN5yVJ2bUYGzqEZyOo6WFR/SjncUK8cLS2lq667nrkDQYjOnFGPZ2XhvDfekF46flTZr2lAXbuOu7aykp4eChmTskyklSvZa6qmMjPNZmi1WLBtdh27CGPYdqWFr/wCqvjmW4W7JwNkfHJSGdc0oL2+R34+EjFCLhfypKfjbJcLec6+Ij0zOmIMWizQRlGQOn5M2b//LfnVlFScvnYtt83uQC6TCQpz5zFLFQXIv/mvxA+XLWc33n6H8FWHA/1TKPTBO31pKtG+/282mWEAe931wh3z5mvLAwFjvL1VbXroQeVXg4NGz/Yd/KckiYhPPyk+2N+vd2/dxt88MaGPNtSrR/ILqJKhIaP/t/clfrjtWv7Wbdv5W8bG9KtSQ35cQNkED2QoFtsFr2fLnH8iBjHiZ7r2AIPolNuaoSekENEMBQIA1PFwn9Q71hRv7H5D6h9vYTy2LFNxZh3js+fE6jt263EpaK7KXWpfUnUTkVUxfODsY8HXT9+vRRITrjUzPpdy89Ifjz649yvgCghBYhAj9Y7VKhZYO2UXfIakxmm3NZPN8JQIZVnzhLLsBYjGHDAM3VSYXsumOvPl4eAFSGEWQIDkgUBboqV3v6kofZZ9QcV1lpqC1Vo4MaZfwjyY8dozPVvnfkkoy54fb+h4NXKk9Rku01NqnVt2rVCSORcYRFMmwn2xUx0vIxpzvusWfZ+yCz6pe/RMtP7CK3LfxFnabU1nfI5cvjBtpv+2lb8Ye/Stb0KETl6OIMAcIzhXTLvNsaT6FrF79HTwlZO/0pNy1DI1bwWXk1IVPdb+HKQw479p2Y+xhXeGD559QmwfPGqbXbJZqMhZLJRlLUAm1qIGooNE0URzVd5SiDHVf++TGwAAf/bupSfEkB6TglyWr0wZCpzX42KQy/aW8/mp05HA2XVRiUMK0QCAK8o7mBRHrmfbvHusM4s2QowoQghxrau9C1t4J9CJrowGu9TJ+DAwDI3N8pZzef5qbBe8fEHaDMpm8iSae/dFT55/0bNlzjfk8UgfgBD5rlv4PcbvzMdm/j/0+KWLuRAjbJ1ZtMg6q2hj4E9Hf6iG4iP2uWXbzVPzllNOS6oeFQPyYKCdy/ZV6JHE+DsdAfaFlddrofionhBDydb+w8p4pNextPqWREvPPqE0ax6T6ipg/M6Ct98XPpa5yFURPIuWsGt6uvULjzyc/LU/FWVOncbMXLiIXe31Iv+12023pqTgtNJyamp7m9bc1aW1MzRkJieNCYQgstqQ3SCA9Pfp3eMTxujaddy1GzZwO558UnyAYeDTV/KCX1pGVbvcyPvcs+Ij/X16dzxBYsmEEVdVoNTNYZZs2266tbtbv1AznQnXTKfr7v2BtdrtRr7+Pr37/HmtpalRPbVmHbfN4UCuDzoHxhAVFVEVX/+m5VNpaSizpVlrGBzU+8rL6RqOAyZCgDExYYw+9qh4nyBA84ZN/HVLlrHr5s5jlo2NGcNHjyhvlpXTD7S3a83aZYgSTSN6zXTmwh13mr++bgO/I/x20LFakd0kQHNLs1o/fwHbfc93rNsKi6iyiQl91JeC05rOqCdfelF6YvFSdu1nP2f+5qrV3JZnnxEfstnQS7EYiRgGIQhBaLdD5/QZzNx/useyqKSErnJ7kI+hARMKkUlVJQpNQ5phAGs2I6soEXFkWO9valJPVVTSz7ee08582F0IGBYyBQVUyZe+Ytk5Zy6zJC+PKorHjWgkTIJp6TjLZkeOyUljoqpamAEhgKcb1OPTZzDPnzurnkkmyVVVpCGCkOcgX1xCVX7uLvPyvFxcmBRJIjBhjDkcyDV3HrMUYYjDISN49qx6uqqK/i1Fgy4IIWw9pza+uVd+2eVG3pdelP4Yj5Po9TeY7szIxLnv1y4kyURSNaKeb1fP/uyn8e+sXMlt6u/TumfUMnPNZmi1WpENXEHyLpiRee06bu2addy2aMQI9/UZXRmZRo7FSl/MW8YAACAASURBVFkJudgDfqZBOfbyS9KT02cwc1et5jbvuM706Y3X8Ls6zmvndu+WnnW78R8DAf2KnOwNVZe1cHwUUpgJ7jl9P9F02VyRs9g6s2gjl5tSRdkEn7k6dxniGQswiCEUp8+m7GafFowN005LKoAQiecHj6vB2DCfk1INEMTWmUUbQ282/gFcxjQQvi0J16PJyciBlsewhXexWd6y0L7mh6W+8bP2hRW7IEJInYj0XUlvLVF1GQBCAISYzfSUOpZU30IIMcJvND6gTIT7zNMKVhoJKUw0/bLPEyxwNspu9rk3zf4q43cWJM72HWAwZoiiiYasipChecfS6lu1SGJM6hxuwAJnp922DD2anIz2jDWxaa5Ca13JlujRtmcMWU06llTdxHhsmaF9zY9QNpPbNq9suxaMjVBWwWOISjx+pnsP43cW2OZXXMdleyvEzpH68IGWx5SRYCc/Jb3WMb/iOmU83KvHpRDttKQBlzWN8dlzosfPPw8wws4V0253rZt5t9Q31gwAOHkl9x4AACgL7/Bsmft125zSraE3G/8gD09esC+quAFiRIldIw2Jlr79AAAAdF1FJtZmKsqYRbss6YasJrWoOGmdUbjOvqD8unhT75vRY21/ip/ufC3llmU/9W6b9+2hydgQuKSSCwJrbeF6oTRrfuzUhZfUUHzEVJRRJxRn1OkJMeRYMe128cLQ8ciR1mewmbObK3OXEMPQDUlNXHTgJjpkaRMR5Sg28w7aZU0jOtGkzpEGymby0m5rJqQxY5k+ZU3kSOvTAIBD77sGdiEFW00ebObsYudIvWNFze2W2qL10ePnX+CyPGV8nn8qtgs+PSYGsYm1QQrT9vnlO80VOYvUYHyEKKoIMaJoty0DW3gXQBCpE9F+Q9XfVwkKEYSmksyZ3h0LvqsGogPy8OQFohua1D3aKPeNt2C74DUVZdRhgbXHTl14SY+Jk4hnLLTPnq1FEuOhPQ2/pWxmr3NVzWcom+AVu0ZOU06LX6jIXiR2jjRQFt7p2Tj7y8rQ5HmI4AHy0YxeiTI4eDpxpvlpoijvqJKuSilozXaUUBwlsHbeDQCAHU82/9xVkVLH2XlPtD/cbsm0FUIMMVGIHu0JtbJW1uUodE8Nto6fNDTjLxSouq7ECSAAAgA0OTEpxSe7aUZwIYoxGXpCTIaHm8T4ZOdHmPPfFBc9lS5WOQn57+QdQoQggOjPJO7kou0H+PM1hxBAePG4i4NdVJ5qH7kQ8nEGw0DmBz+0meJxEn38seRvjh9T9uflU0VbtvE3n29XW44fU/at38DtPHhA2TM8pPdjClBuN/Ju2crflJ6Bs0tKqKqeHv3Cz38W/+eGU8qRmulMXWeH1nZgv/yargGNYQAnS0TkOMgNDuo9kbARcnuQb3REH3zlJenptja1qbiYqrj7S+Z/mT2bWUgzkHnkoeSv43ESTU1FGYVFVHl/n9514oRysKSUquzt0Tv+4xeJ791yq+murdtNt/Am+F3xMjkMQhAtW8EuuXa76TaDAFJWRk31eJDvlZelp8fH9OFY3IiuXM1tXr+B24ExpLJzcH44bAQvnNfOxWNG1GpD9uxsXBAIGOMMC9nVa7ita9ZyW5NJkgiFjMn1G/gdr74sPQ0A+EA1gqEDfXzcGHG7sc9kgqbOTq3d5UY+jxlaGQayUwqpsnXr+R1WG/z/3jErV7HXBINGgBiAeDwoZdNmftfMmcyC9nat+ZmnxIciESM4q45ddOG8dratlTROncrMWriIXfXkE+LvwWW89QAAQBCQ8OWvmm+7cF49u/d1+QWEAKYoSJVXUNNcLuQZGtL7B/r1ngtPaQ8uXMiu3LKVv6momK5gGMB0XNBah4eNgcxMnFNQQJV0dmntJ48rBw/s1/f0dOvnAQBg4SJ29eq13NbWc2ojy8IHLqXiT4okoetAlyUiPf2U+ODePfILkkTEomKqfOcu/o71G/gdDfXKEVEkyU/fIXwVY4Bf2y3/6fAheW/jafXE+Lg+KghIQBggTQXq2Khxqba5jy0opyUVQogou5BiSEosea7/EJftqzBkVSSqLunh+Fjs1PmXkq0Dh5PnB4+rk9FBU1HGbNea2i/weSnVWjgxnmjp3aeFE2PmqXkr2DR3YaKp+015MNDGptjzhNLMeYAQfeLpQ993rqi53btt3j2Mx/ZVZSLSf7lrI4oqQppiHQsqdpkK02oZv7OAsgkeuX+iNbyv6WEjKUe92xd8lyTl6OQrp34FMaLsCyt2aaH4MIAAutbNvBtCAJWxcI8hq0k9KUW0mPi++TvjsWV6r1v0PT7fXxPc3fBrouuqe/3Mu/WYOJlo6nkjerTtGYggIrquYYvJxRalz6Lsgu/ijpjJSVtd6Va0mLkp3tCxO1bf8XK8qWuv7/olP/DtXPi9oV+9eCsAoPeD5gkRQo6l1Tvc62d+Md7U86Z4YegEm+UtN1flLtVCiVE1EB1k/c58riB1uqEZitIz1kRZTS6hMmcxUTSJclpStVB8JL6v6SGxa/QMAACk3LDk37HV5H6/VitiEJLxxY3DYsdwffC1hvvE7tEzXI6vElvC7mTb4FEmxZGLTKwVAHDZIirttPhTblr6L0J59sLYqQsv0U5LGiHEUEaCnWowNkwkNWGbU7KV8dmzldFg1+QLx36SbB88jjhGsM5OjANCDHlosp12WlJCe87cr46He02lmfO4TE+pe13tXUDXVURTPzHUD46L2MTZ7AsrrqfsZp91VvE18sBEK9F1BXGMGTE0T3jdYshqMnqs7U+GqMTM0wvWWKblr8QC7zBEOZpsHzyGzbyT8TlymFRnQfR4+3Px5p63uExvOe22piGGYsH/BoKnqIgun5w0xicmjLEphVRZYMIY+/d7Y19bsoxdv3wFt2HNOu5aQoDBMJANBIyx7k6tXVWB4kuBaYZBjAd+l/hZ/Sn1iCwTCUIAlyxl1932KeFLNht0mM3oD/G4cUmzIl0HmqYS9eQJ5dCpk8ohtwenZOfg/GXL2Q11c9klGRk45/v3Wv8rGDQmBDO02u3Icf9vEj95/jnxsawsnHfDTcLnKApSw8PvL5dkGMgsWcquuv0zwtcyMqmccMgI+v0446IBHxEHB4ywrACJYQA7fwGz3O3BKRnpOLu5Sa0/d049M38Bu6Kyip5RUmqtfuTh5K9ZFj5zuVYwTQVKJGKE/vNXyXtPHlcPCmZoqayiZ3zla5Z7P3eX+dvRCAl2XNBan/xj8neZWTjv5An10CsvS09BAODpeuVoZSU9fVoNMzs9HWetXMVd88fHxN+m+HHTgoVM5cZr+F2pqTiDZSEvS0Q8dEDes/tV6dlEnMRsduTUdaJlZlK5q9ZwW4qLqcqYGVqXLWPXL13Krnvk4eSvBTN6NHGZe/JuQAhhairKuOMzwo3TZzBzMALY5UZeTAHKakMOiAhsPKOeeON1+UUCCMjIwNkpfpyenoGyv3C3+TudHVpbUTF9f2eH1nYl5JIgIKF2Jj193Xp+e8EUqqStVW16/LHkb4aGjH63G3kXLmZXmwRoJgQQUSTJaISEPv0Z81dffEH8I8MC1uPBKU4X8vh8OHXVGm5LQQFVwnGQaz2nNqoq+IuXDkUGkiIDeelybr3VimwtzWrDyRPKweqpdC3DIPb9VD/vhcOJXJ+5U/jihk38TooC9GTAGC+rANOsFmSbGDfGYnESYRnAen04dc067tqCKXQJRAA9+UTy98XFdIXdiVwbNvHXVVfTM690O1KiarIWSoxxOb4K+/zynUJZ1nzaZU3TIomJ6JHWZ8TesSYtnBgjspJEJs5mKkqf7VhafTPtsqRxOSnVXIanWOwZbWL8znyhPHuhISoxJtVZYCrOmA0uo4S7eAGAIBNrda6e/ll5MNAWPdb+HEAQ2+eVbXcuqb4FEALUKwjoAFxU8ACDGGyGu9i9YdYXKZvg08KJMdf6mXdjnrHQHluWGogOAP3SHjwQQphz741WbGJt8tDk+ckXj/+cGES3TM1foQaiA4mzfftt88p2KKOhrkRL7365f/ysIatJQIjBpLqmuDfM+hJlF3zxlt59kaNtz9IuS5qpOKMudrprT/RE+/NcdkqlpbZwPeW0pnIIYUNS4mympxQxFK+MhbpDb5z5vTwUOM/npFT5blz6Qz7HVyUPBy8kLwyd0ONikEl1FSKW4mP1Ha+q4+FexLMWIquifVHlDc4VNbdTVlOnFr28HwekMO1aM+Mm++KqGw1JSVim5a/EZs6ebB88IvWNndWC8WHrjML1trml11IOsw9bTZ63DawfVwPRAcph9vO5KdXqZGxI7Byu57K85dbZxZspi8lNOS2p1llFmxBD/exS3kCGoknhgy2PYxNrNVfkLMY2k4cAQrDF5Pp/3L1neF3FuTY8M6vv3tV7b1axJMuWe+/dBmzAQCAECCUkkAYhlBBOAiGFJITem+3YBty7LVfJtiRbVrV6197afa++5v0hkwO4AOe73u8k73Nd+iXt0ZpZs9c8637u574jNa3bNUEK25dOeIh2WZKQjjFpETEAAACRpp4TvoN1b6shwWuZWbjBXJm7BquaGqxu+VzsczdzWfEVpFnvVHyhIdJmiNXnJk5BFHnqaoc9VjQpcLJpS6Sh+4g05G2PvnXWc/qitDmaqPDh+vb9kea+k5AkaNplTpLdgV7zlLy1XEZseeBE0xbPjuq/arwUAhAAxFA62mlJJu2GWKFjqFYNXt2ZgjDpnI6lFT8SOofO+482fIxlVdAiYoAwsDbTlLwbKZsxRux1N3n3nHtVV5A8w1CcNo80cnZIk6w2Nf8mNSwGIEXQkCSY0LlLu8U+TzMdbUkN13XsD5xs2mIszVjkWD7xx45lFQ9LA6Nt4H/eqoQ1QQgivcFpKC/doAlCACuKoIXCHgDAgW87CKWnTY7CmEpfi7sWq5TKuyN9clD0Yg0rUkAcBZfBCowB1mRNpKKYBEQh2pBgzhhtHLlC8yA82lMjRbzdrMGZwejMCSFv/zmESAYAjGUhOKRIEY8qC/9jYdv/W4EQSes5Z47Tmp1MkqxZksPDBKIOqZoskARjiLLnLWRoUxyBKD1EJKNpMq9pqqhpckRRxaCqSmEIEUGSrIUidTaSoI0EovQQEpSiigGKZH8nK8J/nBPPtw2GgQzLQs7r1TwNF5Rzc+axy+/4nu7Bs2flk21tauOy5ex6p4uInjOXWWYyQwuBIOH3a15BwDzGAIsSFqKiUGxKCpExa5ZxUWkZNflYlbQ/PYPMbb+kNskylk6ckA59upX/wOfDo3PnMytGhrWBjz/iXw8FtcDNt+ruXb6CWy/LWGppURsoCtAVk+gZ8+azK6xWaO/sVNv27hG2Wa3QvmIld/PmTfw7n3wUeV2vh4YbbuS+d/iguAshePB6rdScDuqWr+DWBwKa78QJ6dDkyfRsowlaJlTQ0zo7lNbFS7kbpkyl53q9mqfxolK3f7/w+ciwNmC1Isf4UmpSQQE1vqFBPvfeu/zfMzLI3KxsctzGj/k3T56UDhkM0HTPfYafVUykpwMA/nmta1BUrHR2Km1nquVjRcVU+Zy5zLJwCAcbLohnKRLSEybS0wgCkIcPibsOHZR2EgQgoqJQbG4uVbR6DbfBaERmn08bff73ocdGhrXBwmKqPDeXLNq1U9i8a4eweXwpVTlxEj0zPYPMzcoi8sE3FCQIAqKFi9hFdgeK+ttL4WdlBSsrV3G33rROd9fZs9KJ114J/yEUwoEpU5m5i5ewa7u71PY3X4/8KT2DzLn1Nt0Px9YBFjAMYA7sF3e89OfwMzYbcnZ0KC0kCUhJAmJTo1IfE0PE37JBd9/580oNuE4LKh/BYU0DqsOJou+4U/9QURFVbjIja3IKkZGYSKZCCKDZgmzLV3DrB/rVnh3bhY0H94vbw2EcomhAp6eT2ZVT6OyKifR0ScJSf7/6rfKbf7cgDKwNAAClXk/T6O4z/0AcY6Rc5iQ62pqmCVJoZPOx/1KDvAdjgCmHMT769jnP63MTJ4t9nhaAx4po+vyk6ZAiaU2UI2LPcAPWNJmKtqbqMuLKAcA4WNO6nb80cHZk09FnXetmPO1YMenHpJH7tfINbfaaIIexpql0vCNLGvK2j+6s+btwafCMGuK9hIG12pdMeBCxlN697eSLiKE468zC22RvsJ9v7a+RR/zd4YvdR+URfxeb6Mo3T8m7UYuIgau19hM61uRcO+WH5kk5q2RPsM86o+CW4Jm2ncGatu1Cx2Ctyosh65zi7+nzkqaOGWeM5ZS+g/XvyqPBPspujOOy4iukQe8lsdfdyCZFjTNPzb+JMLBWymFKMFfmrQEA/P5qc4QIIX1+0nTH8ok/hhTJsinRhUyiK49ymOKFSwNnVX9kRPGFhyBJkFiUeWnQeyl8sbtKC/IeOs6eaZqYswoSiBz+8PCvI619p9VAxE05zUlq6PqtaEqQH0VMaED2hgZ0OQmTsaTwfEvfSX1+0jRIIIrQsWbwDRp9hJ41OddO+RGT4MjxHT7/HqIpHd/aXx2q7ziAGJJj4p25XHrMeLHP08QfaThHWvQu/biUWfqClJmh+o4DgeONmyBNstZZRbdDkqBlt7+bSXTmUU5T4ujus6/Q0dY067zxdws97kaI0KfXYkFR0ZZULi12vNg90jC65+wrWkQMGMsyl0iD3vbg6ZbPwhe7jwKMNUNJ+gL9uJQZiCY5LSz6ZXegB8uqRBhYKx1lSSGMnB3pWJN5Sv5NGi8FCas+CukYE0Do31bL+FtfmE6HdB9ttDk5DuoefMjwq8ZGuX5wUO2jGch6R/FIOISDXq/mOXVKOnL6lHSkr0/tys6mxpWUUBUmM7KeqZaPJSWR6ZVTmNm9PUrnpk/4t957J/J3vx9716zV3UZRkGI5+HeBx9ekfUkSFm025Lxpne6uGTOZhfkF1HiGhWxjg1x74ph40LWCi/H5tNG9e4RPJ1TQ0xAEyGSClrnz2OVRUSg2Pp5I1lSsDQ6ovVcbf8ZMZuHdP9A/4nFrw7KsSBfOy2cVBSutLWrD7DnMUk0D6qVLSnNdrXyq/ZLScvud+gcH+tWe8/XyGVnG0j838e8Yjcg0aw6z9IGHDI8rCpZJEv7zeto8JjO00jRkerrVjpRUItPlQjEUBSgIAbRaka36tHikvk6qKSyiys/UyMeHh7WBNWu528wWaDebkEWng4ZXXg7/fqBf7b1pPXfX8y+a37rYINfGxhFJx6uk/f39ck8krAVPnpAOyzKQSkqoifnjqPGqApSjR8Q9HAd1XZ1K287twqbubrV98VL2xpWruFt+8qjxN5dbxl79NvsDIQizssn8H//E8LSqAfXVV8IvcCzUrb9Fd09REaWP8Dh89Ii05+wZ6cTceezy4mKq4kyNdOzIYWl3MKj5U9PI7MQkIvWZZ01/f+KxwP0AgNrr/T+LBVnvulv3wNobdd+rq5VP/+63wZ83XlRqc3PJoltu1d0zfQa9wGBEpk+3Ch+eqZGPqypW8vKpkqJiakJODjmOIADp9+HR5Su49UUl1IRLbUrzZ58KH+XkkuMUGSgaBlc8LFQVaw89bBjS6aA+EsHh/n61u6ycnpKYRKZpKtZoBlwX4LFYkPX+Bw2/zC+gSpoblfM0DZi6Wvk0L+CIpgFt2nRmfke70tLWpjSeqZaPWazQse5m3fe9Xs1zqU1pGh3V3IoMpLw8qnjSZGaW0QTNT47ZkV63VQSrmqyGeS+bHFVoW1RmCpxs2ub+9NSLfEvf6au1d0CEjqmByEj0HXNfgCRBeffVvil0DNaqId4XvthdRRpYq21R+Q8NRalzIUns/YZ2IQwAwIihOMRQOrHP08IkOHMsMwtvA7IiQpbSaZIckUeDA9ebw3+PhjWsqKLsDvS4t554XnYHegmW1hsnZC1XfKEh2/zxd6thwYfVK1kBX5kjTTKQJlmhc7DOu+fsa5TdFOdcXflzNSR4Rz45+hvr3JK7FG9wgG/rr6GjranGsoxFtMOcSBg5OyQJCgAAgmfbdvkO1b/LJjrzzFPzb9IEOSyPBvuYWHsGeVlTJ3Tu0p7AscZNWNMULiWqSOx1NwfPtG0nrYYY5+rJPzdNyF5O6BgT1jQVYIyZBEeOLiehknZZUvxVDR8jltY7Vkx6FNIUO/z+wceUQGTEsaziYX1+0nRwnQT+i2ASnDmW6eNulvo9LUog4tFlx0/UQYgIA2cbazXSR5sr89YovtAQgABKA6NtmqTwhpK0eZTTkgwJSITOtO0MX+ypGgMGjfFir/ti4ETjZi4jrsxUnrXUf+TCBwCAayawWFZE0qx3ib3uRpWXgoZxKbMgQVBSv6eFTXTm03GOLAAwFrtHGqQRfzeiKY5yGOP1+cnTSIvBBQCAiKUNobNtu4I1bTsgRdBcZmy5PORtH6hu+YxLjyl1LK14yFCcNte7v/ZNAMAVe0noHr4IAHgEgDFnELHf08Jlxk1wb676L42XAoaStAWyJ9grdAzVGcanL2DiHbmaIIfDF7uPir3ur7ddXFcMEhKIsC8su5FymBL6Xvr8LqFzsI5Ljyt3rJz0KGU3xXn3nX3dt7/uTWNpxiLHqsqfYU1Tg6eatyqBiNtQkDyTjndkQxKRpEUfJXaPNLi3nfwDpAha8QT6xP7RFsplToY0yWGMsX5cykzz9IKbIYTP/Y9c1rCmqf5AH5eZPhNAiAirJUGL8F6pu6cGfAeAR/DyQwAAyLn0CZGhULchwZwJSUQqYSmoiopAMAQLIUTmZGsuyZEG3h3uFzyRAZKj9KqkXKFlpCpSBADQ6Uopmw4ARDLv75OE4HUt1f8dgqXNCWkJM5/UsCZrmswTiNYHw4P1AIB+ljEnZCTNf8EX7DpyWYvHpGmqCCGiWMaSJErBPlkJuylK75TliFvPOXJ4wXsJQIB4wdNq1MeVIkTpwH+g1fK3DZqBLMtBHYIALVjIrP7eXfof9fWpXaGg5s/NI4szMsjc+HgiWY5CUlOjcn7b1sj7R4+Ie/t6tU5RxGLFRHr6Y0+Y/vD4E6YXfV7Ns3u3sPXEcelgKIyDM2bQC3w+7H3u2eBPOQ7qfvmY8fmMLDLvZ4/47wz4Nd9lMd6Zb78Z/suRw9LuwUGtz2CApgkT6Wk3reO+b7FSdp7HkdJSulKSsPj6q5EXq46K+wgSkqdPSUfvvEv38JobuNvP18s1AIBrOjbl5JDjioqocoMRmkpKqIq6Orm65zIrKDaWSFy2glt/tkY+8fZbkZdOnZQOfVmc12ZDjjvv1j+8Zi13+53f1/346BFpj3tEGywopEobG5W6kyelw6WnparSMnoyScJt1yqUhcM4WFMtVa1cyd2SnkHm7NsrftbdpV7KziHHzZ3HLKdpwFxqU5r+69nQT5ub5X+1zOh0SD97DrPk4UcMT+t0UF9QQI0vm0BNMRiQ6eQJ6ZDBgEyr1tAbioqocoKAhMkEzOMKqVLwDQBPaiqRteF23QPDQ1r/oiXsDQXjqNIJFfTUSASHd+0QN496tJH77jf8YvYcZunbb0b+8uGH/KuRsBZmWbi7qVGud7mIGIMRmm6+VXdvbi5VmJREpB08IO7geRw2GqHZ58Pejz6MvEZSgJo7j12+eg13O8PA+msVYPkIDssSltwebbipUT6vKEChKEB7R7WR+lr+dGERPSE7mxz3ycf863/9c+jZjEwyd/0tunv0BmgcGdYGBAEL+QVUic2GnD09asfwsPrt8pt/s4CX22epaEuKeUreDYo/PCwP+TqDp5q3kRZ9FBPnyCIs+ijSpHPox6XM1GXGTcCKKjMJzlzSpHNgWREUhhohbcYYRJOs4gsNiXq3hbQYovn2wXNCx1Ad1jTFdeO0JyiXJZmOsqayya4Cvn2wFpLEe9czEtAEOQw0rGJFkRRvaFAa9F6inOYk85S8Gw1FqXPY5KhCvmPwHB1tTTNVZC9Xw4I/WNO6I3iqeavQNXwBq5oKIYSkRR9FcIxRCAleLSJe8WzlMmPLzFNy10aaeo4DCBE3JiAtM7H2LCrKnMImRRUYx6cvlIZ8HZAkaOlyG5FpUs4qymaMBQCAwMmmLeEx9lMhlxlXLg/7OgInm7ZwWXETDCVp80mz/k3FH76CPUQ5TPHONVN+QTnNSULXUD2iKR0dbU3nW/pOBk42bQ1Wt3yGNawZSzMWBWtadyCONuhyEiYb5pXcRdnN8ViWBTUs+k2TclYZyzIWa6LCA4w1xNIGlb+OjIGqyVx2/KTYexa9LPaMXBT7PS3G4rR5upyEStkd6AFwTOLjmvuGQIRpQtZs04Ss5SMfH3mK7xiqw4oqUQ5TvGVq/jrSaoiWhrztweqWz+lYe4Z1RuGtbGp0MYAQQQSRoSRtvhqIuAFCSA1E3L6D9e/K3uAA7TQnBo5f3KwEIiOWqfkO0mqIti+Z8IDQMXgOXMOogUuJLoI0yUnDvi5jSfoCpGfMoZrW7aN7zr7KpUYXUw5TvD4/eTqXHlMaPHdpV7iuY7/Y626Uh33dKi8GgIZVKsqawiY4ctnU6GJDcfo8Ntk1DlEkAwlEQQivuxb/m/GtAR6LFdpZFrCBAPYe2C9s9/vxqNWGHBQF6L4+tevxXwbuu3RJaYIQwJkzmUVr1nC3xcYTSUNDWv/5ernG4ULRUdEotrVFvigIgL/tdv39Oj007NwubHrh98HH19+i+0EoiAMUBd+R5auLBvM85iECcFwRVd77ubrxby+Fnh0Z0YZYFnK33aG/f3hIG/j8U+HjyVPp2SYTshw5LO1uaFBqLzbI5/gIDsfGEglZ2WSB26NdkSgWjKPG33ufYf3x49JBv18bbWtVGgcGtN6YGBRvtxPOw4fFXcEA9mdkkXlrbuDuGBxU+86dkU4oClCWrWDXGY3IEgrhgCRi4ZOP+NdjYomE+x8wPNbZobYCAM5da105DnIGIzQtXsrdEBODEvr61C6AAZYlLIkiEErLqMlRUSj2YoNSGxdPjYf2fgAAIABJREFUJBMEILo6lXZOBwenTmPmbd7IvwUggAsXs2vcbm3owgXh3MqV3M2dXcolpxNFD5yXa3p71M4VK7mbM7PI/P4+rXvfXuFTXsB8xUR6GtYAvtig1EZFoViLFdkjYRx6+83wX6ZOY+bdepvuvsIiurauVvpGsc3sbLLgsSeML1IUpPbuFT6dMoWZqyhAfu2V8At6PTTExBIJZjOyTZ/OLEhIIFJ6+9ROQQD8jeu4u9ra1MZNn0TeOn0KHLnvfsMvHv6J4amoKOLuoaGrH4o0Dak7v6+/e8FCdtVHH0RePXRQ3GmzIceDPzI8kZtLFqVnkrn794qfXbqkNHEc1M2dzyy325FLr0eGgB/7aAbQPT1qR1wckZiZReYN9Ku9F87LZygKUBMn0jMvXFDOUhS4QhcCAADcbm2o9px86o3Xw3+0mJFNp1cN+/YIn86cxSzmOKi/1vrQNKTX3ay7OSoaxZ44Lh0cGFB72tuUZkHEQmIimWoyQfMnH0Vep2jIFBZRZeUT6Kn1dXLNxo/5N7NzyHErVnG3RMI4xEdwOBTCgRdfCD6xajV36x136h7iOPjo1cTFvwisqHLkYk+V4g0NBs+175b6Pa3XE4jFmqYx8Y5jii80pEmKKI/4u41lmUvkEX+34g8P+8627TJNyl3FJrrySIs+ClwHycd4zHRU9gT73FtPviANeduNpRmLwnXt+3wH6991rqr8KZcRW6Ze5WC9+oAAY0kRsTjm+kTaTXH6/KRpodr2PYovNGydU3wHlhXhm1pWEEsbIYloTVIFQ0naPPvCsvsQRxsjjb3HrXOL7zSOT19A2oyxbEp0kSbIIb61v2b4YP07Up+nBcuKpC9KnW2dVXR7wsMrP4AUQWsRMeA/dnGjPOLvIU06B+UwJwy9u/8XkcaeKuOErGWOZRN/PPzhwSf8xy5+wmXElblumPorSCJq+OPDTwmdw/WIIll9ftJUY1nmEjrKkip0DZ8Xe91NTIIjV5MU3r+v9nXZHegNnWnbaZ6Yvco2v/QHlNVwTPaGhq41R0gRlH3xhLl0rC1DHvS2UzYjwzf3nYo09Rzn2wfP6fOTpporc1dLI76uQFXDx+HznYeUQGQEq5pKcIxBX5A8w76k/EHE0nom3p6teEMDiCY5NRBx820DNeELXYejb5vzOy4jtgxcB+AJN3QfDpxs2mKuzF3DpceWScP+Dn/VoY/oKEuqqSJ7xeW/OTr09r5H5RF/N0CIRBxtYOId2fbF5Q/o8xKnBGvadgjdIw3WOUV3MAnOXKnP0xwa7RjUZcSV6wtTZgMCUWxKVCHlsiSBqwA8X91DGGNFkwEGmEly5Rvyk6aF6jsPQAgQ6TInYXlM7FvjxeA3VbquWHMEIZcZV2adU/w9sdfdpPFi0Dg+Y6Fl+rhbKKc50bfv3OuBUy3bXGum/NI8LX8d39x7cnhj1bNCx2AtVlTJu6/2TcLAWiGCyL6o/H5TZe4a68zCDSObqn4rdo80sClRRZTVEOU/2vCRPOzrsC+e8KBpQvbywPGmzeBbiJ5fecEQIb3erskyL3X1VMsj7jYAIcTSdxNv9rV66gLtow3BXn+rHJb9ibPTboQEIjp3NL9NGxmrJcNelHFDwYOmREuWzMth1sI527Y0/M2YaMnmh8NXLbgAAADWVAnRtJ6gWDMA4N8e4EGIYChK7wyFB+vDvLtJx9rSAfjXSzb0h3pPenxteyCAiKYNMbIytr9Y2pJ42S3Lq+Mc2YFQ76kwP9wIISIY2hQPACJoyuAC37F17j8tGBowLAs4QcCR8+eVmsd/GbjXYIAmgxEZe3uUTlUBym136O4/ckjc/ac/hp/qaFeav6wZSJLw0HO/CTz666dNfzGbkbW/T+2umEhPnzyFnn3urHwSAA1Mn0Ev0OmQPiGJSN3xubCxtVW5uGw5t25SJTPzd88Ff3HyhHTwS2PyBAE3nT0jnbjnXsPPVq/lNhSMo8bv2yN+mphEpD1aaZxltyPnn/8UenrbNuHDWbOZxTY7coJrADycDuoe/Zlx7eio5t7+ubRRVbFSMZGenpFB5U6bwSxwOlH0/v3i53/6Q+jJwUGt9+tMoNFRzW2xoOdLS+lKkwlaWAZyQ0Nq/84dwqbWFuWijoN6ggBEQiKRYrEgO7jGd8ZoRObly7n1Fy8qtdu3CxtzcqnCFau4W6xWaAdwrE28ulqu6h9Qv8IMjES0ME3DzRYLsv34UcMzs2Yzi99/L/KP41XS/qwcctycucxSBCGqq5Wrg0EcyMklC5NTyAyCgOhaTGOHg3D99BeGR7KyyHxFUeTMLDJfkrBYfVqqggAAhgHsbXfoH5g7j1n+6ivh5z/5iH/ji3xHELAAANhx+d4T3V1q+29+a3r53h/qf253IFdSEpHm92NvYhKRGhNDJAgC5vv61K7KyfSs4hKqAkJ45GrAeDiMQ4Eg9m/eyL/V26t2lU+gp547K584ckjcbbYga0wskXCsStz3ycf8G6vWcBvmL2BX1tXJ1Zs38m/39KgdkTAO0QxkHA4UJctY9vvwN5o+/DsGJAgSQAAMhamz1ZDgG91z9lWgYY0wcnbFHx5WQ4KXMHF2NiW6CEIAAcYYMRSnBiPuwTf3/iR8sbsKi3KEcpmTTBNzVhnLMhfpchOnaIIUUqoDn40VP2LHc2kxJULnUH2gquET67zxd9kWlt4baeo5Dq6jaaWJUhhrmkroWIt5av6NXGZcOVY1GZIEQ1oMUWpY8NHR1lTKbor37Kz+W6imbYfiDw8jljIYitLmmCqyWeeayXmmiTkrEEcbpUFv+9dZIJAkyJi75q+CBEFpksKTZn0U39ZfE6rr2M+39VebJmQvNxSnzZMGvZf8xxs3hWsv7VUCvBvgsTUyVWSvtF5mTxNG1qoJUohv7jvFtw+cCdW27wvWtGyPvXvhS/r8pGkAgM1fXXtE2BeVrdDnJU6RhnwdYvfIRTUs+CIN3UciLX2nFF9oEHGMicuILWNibOmWaQXrsaYpfEvfqaH3Dz2ueENDQNVkAAEECCFEkxwdbU0zTsheThg5q+wNXTNPQixtIPSsRWgfPBc42bSF4GiTFhH90qCvHSKANFG+bksSZTfF2+aX/iBU27E3cLrlM6yokuuGqY+bp+avC5xs2uLecvz3kCJZx8pJj+jzk6dFGrqODH90+ClAINI6q+g20maMQwzJ0dHWVCki+AOnmrZChMjIha7DgEAkYeRs0rC/S/WHh3UZseWm8qxliCJfvhp7m7TooyCJKDY1uihY3fJ58FzbLspiiDZPylkldAzWYj1roVzmpJFPjj7jPVj/jhrifVeZUhMAoAlR5OfefbVvmCfnrbUvmfCQ4gsPY+X/m7Pt/8341gAPy0CWICApSUCKRHBIVbE66tHcfr/mBQAAixXZCsZRpYsWs2vKyukpnR1KK4IAFRZSZenpZI7RCE2yDGSEABJFLFAUZBovKnUQApiVRRVwHNTdcaf+R+3tSgtCsOpqFNdIZKwvluOgjqIA5XCi6IqJ9PSJlfTM7Gyq4Hy9XLNwMbuGpiG9a4fwz82b+Xd6e9VOBAHMzaOKE8dE9AZl6auovcWKbD/7ufHu48elA598FHmjqJiaMHceuxwAAE6dlA7X1UrVM2Yxi+bNY5cHQ1owOZnMmDmLWXzDjeB7GAN86ZLS9NH7/Ktutzrk8WjDWAN48VL2xswsMm/Dbfr79Qb0wLVanVgW6vQ6aEAQoNdeCb8gCoBfsIhdvWunsDkjg8wlKUhVn5aq2tvVZp9XGzWZoWV8KT2puISqOF4lHTh2TNqfkkJkDvRrPbt28ptpGjIzZzGL0tLILFEAfH29XFMynqoIR3Dozdcjf2puVs7PnMUsXr2Wu03HQf1770T+PuZaAUkTC7jTp6UjAb/m6+vTum7ZoLtv3c3c3SYzag34tattegAAACYTMj3xpOnhzEwyLxjE/gUL2FXbtgof9PaonaIIhPU3cz9ITSMz4xOIlGBQ85+pkY/7fNpofDyRrKpA7exQWseX0ZWVlfQsWQJSRhaZN3susxRC+MrVDt/8Amp85WR61o7twiavV3M/8JDhcYwBfu/dyN83fsK/ddf39T+unEzPnj6TWVhzWjpaWyuf5iM4XFJCT3S6UPTWLfz73V3qpdVruds+3cp/2Nerdj3+a9OLsXFEYk+P2q7XQT1BwCtctAAAgOdxxOFAUStXcbdoGtDcbm2otIyerDcgw/VatHJyycKKifS0P/0h9OTAgNq7YBG7etUabkNXl3LpeJW0X6dHxiXL2Bujo4k4WcZSWTk9ZcZMZqFy2dJ9/17xsyOHxd1+P/aNjKiDcXFEEklBauEidk31abmKIODGayVQWFFliNA2AAH8Njo3AIy5DmmiHGGTogqiNsx6TuzztCCONhJezhasbv1cGvJ1cWkxxZTdFA+uR9XEQAMYa1hWRDUs+C+zfmjP9uqXgKapSMeYAIQQoquv9xXDYYw1WRXYtJgS19opj+lyEyeHL3Yfpf3hEVN55lJqrN94EH5DhQFxtOELJg4dbU0Lne88qIwG+9WQ4FWDEQ9lN8UbXeYk4dLgWc/20y8Fa1q3q2HB+4WoNMHRNVhUeMeqyp9qksK73z/4uOwNDZjKs5aRdmNcpKn3hBoWvEyiM9++ZMKDmiiFZU+wl0lw5kbdPOM3YvdIw8jmqudkd6Dni0pS8GzbTv+xi5ucqyp/aihJX+BaN+PJSFPP8dHdZ15hEp15utzEyeG69v2B0y2f2heV/1CfnzwdAPDxteZIWQ0xpoqs5VpY8Cn+8LDij4xQdmO8aVLOKjY5qkCXkzA5dLZt18imY89d1oj5yt5ANNmhSYoQfdvs32myIkr9nhaNl4LSkK9DGvS2q2HBJ4/4uri0mPHga8nJl4N2mZNt88f/QBOkkGdH9UsQQmSqzF3DxDuyEUsbNFGOBE81b4209H0FSIYItkiD3ktx9y5+xViasUiXmziFb+uv9u6vfVMNCT423pFNuSzJGi8FZXegh3KYEph4Ry4A4OR1N5GmKZooh5GeMZkqspeLPSONijc4KPaPtpjKMpcYClPnIB1j0ngpAL4jK4YwcDb7wrL7KKc5UegcqrctKv8hoWfMAEGkjAb7AEKkeXLuWvO0/HXhhq4jg2/s+bE87O/60nOu9/IPoF3mpyinOdE8rWC9GhK8iKMNpFnn4tsHz1ky4yZQTnOi0D18QZ+bOMVQkjYfkkTHd7ZOxwADVVXkgaGLkQsNn2miFB7Tj/luIYxGhhNmpX1gTDBn6GONKZqKZWOsIdmYaMmKm5q83JJhL0QkogZP9+0dOt2zx5hoySRokhuu6dsv+oVrgmhY0xSDNbFMU+SwJSojUVMVHkBIIERQGGM16Ok6qanyv02ChbGmaJoisKwlyaiPKQqEB85hPNYuirEmY6xKFmPSFJJkLQBgjSJ1dgJR+ojgaWZoU3woMnzBakqaYtLHlsiq4MdYk2lK7yIgxUF0pRj1/2tBM5BlWMgGgzgQDGqByVPYOYmJROqZGvkYRUE6OYVID4dxaPt2cWPLl5glX4SiYIUg4J733438/eGfGJ++/0HDY36/5jtxXDowPKwNQAhgfAKZLEtY+tOLoScv1CtnTCZkWbGavXX758LGE8elA19nvVw+V3tcLuIphwO55i1gVjpdKKa1Vbko8JgPBpF/cEDtvVAvn5m/gF2ZlkZmgWuwajPSyZyJE+kZr/wj/PzwkDYwrpAqPbBf2n7hgnx2xgxm4fKV7PqTx6WDFiuyWSzIlptLXTFGbBwB3CPaUMl4ZqLfj72NjXL94iXsDb29apcsA6mwiCq3WJDN7kAucA2ARxAwv3kz/47A48hN63R3MSzgOjqU1mAQ+YtLqIkQAjg4oPZK4pWMeknCss2GPp41h1lityPXpo38WykpZOaatdxtfh/2dncr7eMK6dKEBCKFJAEZF0ckmUzQAq6iCQQhhLds0K2ZOYtdfPasfKLhgnw2PYPMS00jM61WZG+8KNdlZZMFCxexqw8ekHZ8Gdy5yr1X9Qa0/9Ntwocbbtfd//NfGn8HIUBDQ1p/1RFxz+X8yTu+lJo0fwG7at4CduWF88oZAMAVuXkorAUZGjLLVnA3Nzcq9e+9G/l7TY10TBKxZDAgw89/Grjb79dGb1qn+/66m3V3v/NW5KV33o78NRTUvs6KuGYB5j8iLp9L0oi/a3R79UuKLzwCIYRqiB8l9KxFl5c0zVCYOgsx5Bg7O9GVj8OCd3hj1bO+fede1+Sx8whC2BRu6D4SONW0JWrdjKdolyVFjYgBXU7iZDbRmev5/PRLSiAyTEdZU9Uw79Nlxk8wT85bCwB4+lqXpglSCEuKELrYXRU43bKNNOocdKwtA2CMfftr39IXJE8zjM9Y5N119tXR3Wf+YZyQtSxqSt6NmiCHQvUdB8Red6PYP9oSPNO2U+weuRg6d2n31/8HE+/I0eckVJJGnYONd+Ty7QNnNEEOM3H2TMKkdxhLMxb5j174yLPtxAvS8BU6kt2IpZuxrAj2pRU/ijT1HJP6PC1simscgADI7kCv0DlUJ/aPtrLJUYWQQFu//HlIEJShKG0uJAlak2RB7PM0+Q7Vv6eMBvuxhjFEEJon5ayOunXWbyFJ0IETjZvdW44/L/aPtlyLVQ8RrAmf7zwoD3nbEUcbr1UIJQysTfGGBoM1rdshhEiNiL6h9w485lo3/Skm3pmt8dI1pTsggQjnqsqbmSRXQfBs2y5dTkIlE2fP4tJjS4X2wbO+A3VvAwBB9O1zfs8mR43z7j33unvbiT+o/sgIAACEa9v3AgIRhIGzOVdP/rlpYvZKc2XuWveW478DCBH6cSmzEEvpR3edeVkN8aPOlZMeNU8rWBc41bwVXK3QSBAk0LAq9Y+2EjrWzGXElmth0YtVTYEUyVqmF6xXAxGP/0Tj5muAO/+KywBSB8HRf9XCgl/xR4avy4T6X45vDfAQJCAhArBkPDWxo4NueeO18B8VBSgcNwZQGAzYGBdHJCYlEWkMA9ikZCL9023Ch/v2iJ9KEhbz8qniL8AfjAF+9+3wX2tr5VMLF7KrY+OIxJoa+VhFBTRtuE3/w/ZLgWZwlYOJj+CQImMZQAjzC6jxrmgi1mKGNlUBSmeH0pqUTKQfPSLt2baF/4DjoG7RInYNw0FOlrCUk0sVxsYRiVs2C++p6n+33xAERAsXs3NzcsnCf27m3y0qpsrvuc/wM4cDRT35RODBYBD7H3zY8ITFguyvvBz+fX2dXJ2WTubMmMksZBjIzJzFLFZVoJ4/L50ZHNT6RBELTicRtXkj/xbDQGbCRHpaRQU9DQCw/WrrynFQJ0pA/PjDyGtOFxHzvTu5H9XXy9VtbVrjxEnMzN4epSM3jyyqmEhPpyhI6Q3QZDJBcyiEg83N8vnKyfTsion09Avn5bNGEzLTFGR6utX2zRv5t1ualQuZWWR+fZ1cc6ZaPhYbRyQ++jPDc9nZVAFNA0YQAF82gZocHU3Em0zI8sH7kVfsduRaspS98d23I3/7yx9DT/34EcMzZWV0JUJwx7X6ykvGU5NKy6nJbW1Ko8GITKEQDjgcyOV0ougpU5m5VhuyVx0V933wvvKK260NW63INnUaPT83lyrcsYPfRJKAYljIHtgvbj9+TNpfWESVV0ykp+/ZJW4FXzsgnU4i6uFHDHewLNRBCGFZGT3ZbkeukyelQzYbchYWUuUZmURuVBQRMzKiDjY2KvWSgIXSMrpyzlxmWX2dXN1wXjlbPJ6quHhBrvX7sXfxUu6G3h618523Ii9lZpH5FRX0tGs9+GgaMvEJRPL4Uqryk4/413PzqWKHE0UpClZk+epC4VYrsv3sl8a73SPacDiMQwsWsavvu1//i6oj0t5/bhLeqZhET7/5Ft09jRfl+mefCfxkdFRzT5/OLMjIJHOjoonYKVPpuaNezXPunHzK79e8LAu5SASEXv5r6Lnb79Q/tPZG7ns11VIVuB6T5hr9qYgiaUgRLCQJEnxBNdQ0DdEUCzSs8a391b4j5z/Aiiop3vAg39Z/Rg3xXmlwzE2KcpoTIYKn8TX2BlY1FSuaQtlN8dEbZj0Xaew5Fqhu+cw8KWc1HWNLY5OjxgGMMWLpa7Kfvjog1rCkCGqQ94j9nhZijAYsKmM9x1lfCKeBMYvuawZiaQMkEKWGIh7fwfp3dDkJk7n02FLh0sAZ2RPsl4Z8HVhShNHdZ17xHbnwwdcPTJWXwqRF/yoVbU21TC+42bGq8qeQIlmIEBGqa9+PaJLR5ydNRwylC55o3BKobvlMGvC2uW6a9qQajHhGNlc9Jw35Ov97WhgDABQI4emBN/f+JFrTVFN51jIuPaaUbXQdV3zhIS4jrjzS2HMseLrlU9uC0nuYeEcOJBBxLdBOX5g6GyJEDLy+52E1GPEYSzMXI4bShc93HbTOLrpdHvF3ubedelH2BHoRTXEE91V8EhIEEDoGa+VhXycdY0sXe91Nkdb+ajUiBtgkVz6T4MzlMuMrlNFAH0QIXdMJgiCo0V1nXkYMpTOWZS5hEhw5sjvQI/WPtnJp0SWaIIXEXnfTFbdawxgSqNGzs/pvMdFzX4i09J4ceGXXA2xqdLFzVeVPEUsbFF9oENIkS+gYE0SIYBOdude77wAAgFWsYlGOAA1rkYauo6M7a/7OpsWUuNZM+SWbFlNy+YZokCQYSJHsN433r/WCEFpmjltsKE6be5mJRJAmzsEkOvMolyVJcQd6IUnQxvLMJdLAaNvwB4d+9eU98PWQPcFe7/7at2JSo4sdKyY+AhCEiifYR8fY0sMXug579557HRKIGkuGc9cGTzZtAd9diwcijrNQ0a5sACE0Vk6ExmmTOS0cGQUAvPddBho+03/QlGzNMSVasxVR4YfP9h9yFERPkgKChx+J9DNm1o5ISIo+YcScivI5lz6h72jntuuNiUhajwiCZg2ODM4UlcsHhxpJirOyBkc6hBCFff31AIB/G4BHkAK97b0Hn4QQURhriiyHRxR1TDNHlIL9g+7zH1Mka5YV3qtpMg8hIhEkWQgJSsOqpGkyP+pv3UMSrJkiORtJ6uwkwZhIgjUBCKCGv1k8/j85KArSDA3ZhFwi5elnzX8jCUCcqZFOpKUT2Rtu190fG0ckna+Xqy/bb181VBVrTifxfn4+VbJoCbs2GMC+gB/7pk6j5yWnkBmdHUrr8LA2UFxCVUybrs2XJSAaDchUVyufvp72n9utDR89Ku6dPpNZSDOAWbiIXd3dpbRv2yK8r6pAjY4m4vR6aMjKIgvAZVbJl4MkIbnmBq4kJZXMWnsDd0cwiP3794qfnamRjjtdKNpuR06CgOSd39c/fNlsAgMMgDbmFgsZBrKqilWOg3qnC0UjBND4UmpScQlV0d2ltruilJiuTvXSsSpp3/qbdT+4DKpcNTAGWBQA39+v9ezbK35WOZmeNW4cVep2a0P9fWpXWjqZM3kqM+fzz4SPwVVYFD4/9m7eyL/99LOmv+XmkoXnzsmn/vhi6Mm8PKq4sIgqq6uVqvfs1rauWcvd4XKhGMuYsckVAE9qKpG5bDl7U2en0nrpktKUl0+VMAxk687Jp7u6lUtOJxE9bz67wuFAUVs28+9cj6kMAADhkBaqnMxsX7CQXRUTSyT096ndW7fw79NjzOjynFyyUJKAxPM4Mm06M++dtyIvgau03EbCOAQAAIqMpffejbx84bx8lmOhzmJBepIEwGKB1g23Ge5bupxdd+SQuPuD9yOvXAXc+Y8P2RPsxRrWQmfadon9nhZIEhRpM7r0+UnTzJPz1uqy4isgTXKqPzxM2o1xmqjwI5uqfus7WP/OF+AOAP/KbyIQwp1AUeXY+5a86lgx6REAAJD6R1st0wvW07H2DNKscwIIEYAQ6rLjJ5EGzqpcwyVJ46UQ1rAqj/i7KLsxnrQYogInm7ZEGnuOAwAwaTFEhWrb94Ubug7bFpTeY5yQtdR/sP5df1XDJ9Kwr/OLvAkitBlxtPHrrBREU6xjxcRlSiDi9uzYeT8WFd5YnrmES48tk92BHvO0gvWhc+17PJ+f/ovij4wghtIRuq/lUAiC4Jm2HdbZxbeTVmNMpLHn+Ojec6/JQ75OJRBx67LiJrJJzjzFGxq6rGvzr+8IoWfMdLQ1VRr0tg+9te/R0PnOA1hRFcRQLGU32UwTsieYp+TfiGhK569q+Hjo/YOPyZ7AdcW8L+fpQ4SOeRZSJHutghBh4KyEkbOxqVFFIW9wAGCM9UVpc9ikqHxNUoTrOd5y6bGl5qn5N0EIERPvyCEMnJWJt2dDimAhpjTCrHeZKrKW6TLjyj3bq/86sqnqt2r4K7pyX9yHAO0wP83E27Mts4puk72hATbJVYAVTZIGve2um6b9mo62pkrD/i4mzp5lKEqdCwB47evXIw/7OgGEiMuILfMfvfARoWPNtMuaLI/4uy3Txq1nklwFkYbuo0D79qZCY05ixGsAAPhdHW3//4xvDfBoGtAwBnhoUO3btoV/f6Bf6yEIQFhtyJGeTubMmEkvIElIDQ1p/VYbcmzbwn/w0l/CzwwNjrXZMAw8vGe3sPWu7+t/PH8huwprEM+ezS4JhXBg48f8G3YHcoXDODh1Oj2vsIgqBwB8/vVriERwOBDAvk+38R+OjKhDmVlU3tFD8u6LjXLdDTfq7lQULG/eyL+1dDm3Pj+fKt65Q9i8fbuwMRDQfBwLdWnpZHZPj9rxZU2c+HgiecMG3X0cB3Vrb9TdYbFAm6Jg+fhx8QDP48gDDxl+FRuLEp58IvhQfZ18WlWxhhA8cbFBPgchgMePiwcf/5XpD+vW6+7+52b+nbR0MkeSgGg2QYvVhhwEAsSCRexqkwlVBQLaV9pQEIJww+06PUkAsng8PXHZcnZdMIgDBgMyZedQhQmJREpcHEpsblYuHDwg7jheJe0fHFL7o6KImPsfNDxQHZKHAAAgAElEQVT+s18YfydJQDx6RNzT2aG2sCzQJSUTaW++Hv5Tf5/Wff9Dhl9xHNBt/IR/Iy6eSPreXfoftbbKF195Ofx7j1sbiosnkufMZZbm5lHF3lHNHRdHJEZFo9gD+8XtI8PagM+neS5bQH7v5EnpMLhKpcNgQIafPGpYoNdBA8NANhTUAgYDNBWXUBVOJxHT0620/9dvgz9ruCCfjURwWFGATBCA3LNb2HbvfYafz5zFLqqqEvchCKDAQ16WsXT0iLh32nRmfmwsSgBfAngMRmS85z79A0XFVPlr/wj/4dAhaSdNATo+gUhJSSUzCwqo8RMq6GnpGWTO8WPSgddeCb/QeFGuVxQg790jbmtuVM6vWsNtiE8gkrd/JmzMyCRzb75Fd097u9L83juRv1ltyJGURKQJIhY07UoNHgAAMBqh2e/TRnftFDf7fNronl3C1kgYh2bPYZaKwpXJB0VBcskydtHs2eyS2nPSqYcfMTxtMEBTwwWl9swZ6cS4Qqrs/gcNvzp8SNz5lz+FnvF5tdHLn/uQJAHFclB3z72Gn65aw25oalTqPR5tOCGBSPH5tNFx46hSSRwDT4uKqQqE4D+vJ+745SDNegeb7BpnnVOcRdoMsWyiKw8gSCijwX7FFx7GGlaRnjUDVVPMk3JX85f6z2BBChuKUmbzLf2n5WF/F0SQoGzGOEggEoArRakBAACoqowVVYJmnRNSJKvxUshckb1S5aUA4mijNOBpo1yW5O8A8GBNVgQ1LHjHbDbPvUpZDTHWuSV3hus7DzCx9kxIk9w3MYIQQ+kgQgST4MqLuXP+nyiXOYlv7jvFZcSV2RaU3kPH2jPFXndjpLHn2LUe4Ko/4h79/PSf2URnHpcZV664A72+oxc+Ik16p2X6uFsUb3CAbx+qAwgR5ok5K8V+T4upPGvJ8CdHfiOPuU9dbXoYANBuLEl/TZeTOFkN8h5NknnKYUrwHah7J9Lce4q06F0QQkjH2TOJMTeDKxIgRJF04s/XrsSqJrNJznzSaozlm3qPez4/9WfKYU4YE/nj7LYFpfcA7dqsLshQOsKsd1F2U7x1dvEdWJIjii88LHSNXBC6hy8InUN1TLwjhzByNnANBznVHx6WBr2XTOVZy1R/ZISP9Pm5jLhySCIaq5oMCESRVkMMoknm62LNWNVU0qjbEZmUu/qycwOGBCKFzqF6LKsiYik9aTXGiH2eFi41uoiOs2dBCOH19Giwpmn2hWU8gAAyCY5s24LSeyiXJUka8l6ShrztTIIzT0clTIQUQSP62wM8pNUQbZ5acJMa5D3BM207AUIEG2fPkof8HcFTLZ/KnkCvviB5OpceM37wzb2PiD0jF683HlY1jXKYj0j9nhYuK34ilhRB6Bq+EKrv2E8YOLtj+cSfUDZjDFZUmUuJLmRToovAdwV4IISQIhmAEMkkJ1UABAmgKKIavrp49PVC8guezh3NbwGAgTXTUayPMSRbMmyFDW+ceTI8EOpKmJW2BqtY1UUZEiGByIET3Tu+/BJwrctTJMGPSIpTxIiXZk0xEBGUqogBitY74VVcQP4347JF+pGr/U5RxTCEaDsAAGD81e/c1/cshAhBCAkIEAEhJABEBAQAKqp4TW2X/xeCJAFJUYCWJSBt2cy/09KsNEyooKblF1DjPaPaSEIikdLYqNR7R69tcw0AAB6PNvzKy+HnXVEopmQ8PWnJUvbG3l61c89uYWtvj9qRlU2OwxhqnR1K68LF7JpQCAeam+Tz1xtT0zCeM48d5CNaOCeHGocQRKMezV0xiZ5hNiHLhjt0D+j10JiRSeYSBCRU9asvDCwLufwCqoSmAZ2TSxW2tSqNCxaxq+fNZ1b4/dg74laHtvyTf7fxolI3NKT2QwCgw4miIhEcjo4m4saXUpU11XLVsuXsuq5Ote3UCbmX00F9UTFVHp9AJCsKlj1ubSQ7hxlntSGHwYBM15oLxgAzLODy88nidTdzdzscKCoQwL6EBCKFIAEpy0BCEKBrOYJpKtYSEsiTLc3KhZtv1d3Lsjw3voyujIslkiIRHCIpSM2eyyyzO5AzFMZBnQ4arrzXkFh3Czc7L58q4XkcwRrA/f1qd2+P2mEyIWtJCT0xv4Acb7Mhx8CA1uMZ1b6Va2hLs3Khp0ftiIlF8aOj2gjLQs7n0zzuETi0eSP/9vl6ueaHDxgey8mlCgsKqPHgKgBPOIJDqoZVhoXcylXcLZMm0zN9Xs3D8zhiMiFLcTFVUTmFniUIQNi/T/zsi7zt/7UQOofOaxHRj2VFpF2WZF1u4mRjWcZi2mVJJq2GaEiTnNjrbgKqJtMxtnSxz9PsP9rwsSZcvcUXjxXzjvmrGj62L5nwoNA2UBM827aLS4sZTxp1DqxoitAxVEtaDTF0lCWFjrNlgGvoN2mXmRPmKfk3+g7Vv+fedOw5acTXhVVNhQgh99bjzyOOMVrnltxpmVawfmTL8d/79tW+ofLiV95jLhemrpAIIG2GGHNl7hqhe6SBcpgSCD1nDdW27xv++MjTTLwjWz8ueSZpNUQ7V1Y+gq+XQ5EETehZCxVlSWFibZkaLwUVX3hIdvu7+UsDZ2VPoI+OsWcgPfMVgIe0GWMhQ+kijd1VfGt/NVZUhU1wZtsXT1hG2Qwxkebek9Lg6CXCyNncW48//03gzpdDjYghcJX3uX9dM0PpsayIiKF0+nEpM2VPsI+OsqSSVkOs0D18HmhXNzEhdIwx6pZZt9DRtlS+ta8GMZROn5c4lbKb4jVRDgv1HecQTbKGorS54YauI6M7a/72NXDnKyG5/b22uSXvxHx/wUvRG2Y/BzRNU0OCVxPlcKSl99To9uq/IpY2RN0y4xljWeZiwsBuUkPCV1g4fNvAGcUfHiZNOqd+XMpMNSR4pYHRS4RJZ6djrelA1RQmyZXPpkQVAQB2fds1/HcGdr6Ibw3wuEe0wWBA87e2KBdbW5SLNhtyTplGz507j11eUUFPIylASSIWzRZk3bdX/OzPfww/NTKi/uvl/LKYWXN0NPFrhxNF3XGX7iH3iDZUVytX/+Be/U+Tkol0VQWqpgF18hR6NrgKwBMO4xBNQ2b+AmbVgf3iZ2+9Ef5zZ4fayjCAfe0f4edVFai33qb7YWkpNenZZ4KP1FTLx752yH6FvsUwkHngIcMdqWlkVkuL0gABgAAAmJFB5gIA4IyZzML0DCLnxRdCT9TXydVftMBcfonmAQCAIODuA5Xi52tu4O6YNJmeqalA83qxp79P7TqwT/y8q0u9tGgRuyYnlyoEX0v8CAIQej008DwOD/SrPe++HfmrK4qI9bjV4eZm+cL48dTE5mblwrPPBB9pbVEuav/NKunKzKQe+c1vTS/HJRBJwSD2L1nK3uiKQrFVR6W9EEE0fRazyGaDjo2f8G8ajdB89z36R3dsFzZt2cy/+yVhuRaOg0dPnZKPPvKo4ZnVa7nbDh8Sd/e5tK67fkD/pOqouG/rP/n377hT/1BSEpEGAKj7+j1JzyBzsrKpgj//KfwU1jCePoNZ0NWlXsrIIHMxxtrzvwv9sqtLvQTAWAWLJMf2nN+HRw8eELdPnkrPcTiQq6lROd/To3bEJxApLhcRk5xCZETHEPEIwTNfgBZ5+WTxnDnMso8/4l/bvUvckpZOZE35P9x9Z5hdV3nuKrufXuecOdN7H0mjkTTqxSqWLRfhhrvBBky7EIcbAoEQIAFCSCBAAhjTXcHdsmTJVrOqVUbSFE3vfeb0svta98eMgyRrVLi5NyHv8+iZZ37sb/be2ufstd7v/d53Nb/Z40W+VJImWs7pJ/MLcEksSsLf/U7yS+1t+oXnG5ck+BOPF/qXLmPXnDqpHX74EekzhADSfFo/hjBkNI1q8TiNWizUNh/BY7Uim2SB1uJiXKmqVM0XoNi0nFsHAKCKCj4gZw6FcP4DD0mfVDWqGiYwNI2qHg/2+fwo0N3FtK3fwNw0MW6O/OoX6R9euEiY8wAwAABySQnzi5WruI1PfMH6DUoBjYTJtKpSpfm0fuzlF+Xfsixkb7tdvG//Pu3N95/L+YA4VrDU5q8NPrr5AWwT3UYkNcaFPOUko8Tjh9pfMFNyVCgKLJDKc5Zhibdjm+ghipYiGS2JbZIH8qwEeVbSI8lRSilhnBb/nIv8ZTdq1CQ6NUwNUEDNtBIzkpkZZWiqVSrPWZo42vEytolu3/bl/xsJnO1K5/3HgoACSimR1RTVDRWxjOBcX/+QEU1NJI51vGxbWnYrYxPdAF3Z+AxyjAAZxAr5/trkye4didc6XsYW3mldULyJC7iLEc9aMt1jJ7SJaN+8p0IphQi1zrx05B8Dj27+PmMTPe5NDY9BnpGMaGpCn0kMs25r0FJbsFbuGn1PLAkuBoACdXCq5WqjNOrITAdVtTQXdJW4tyz+ROps39us155jrS+6wba4ZCvjsgb5kKccW0UXuAzBw2U5i7igq4QLuIoYu+RNtw4ewE5Llve2pidYjz2HGoYGAASIY8TZbgylAEJEZC3JBd0l2MI7KKFEKs9ZBgAAZiIzTQ1DwxbRBVk1DhnEYom3Q5YREMeIjEPyg3kIHmoSkyhaSu6fOOPe0vBxS1XeKqIZihFJjlLD1LHE28Wy0JLEkfbfg8uoMYxkJuJcU/tC1oMbvmVbXHpzum3wAJ/tKbMuLt3KOCS/3DtxmpqmTimljMPigwIrgavEVhLdUACAkHXbc2L7W55OnuzZIRYHFpkZNR5/t+254GNb/lUsy14COVa8Up33ASGEjtU166TS0BJTVpPWhcWbsMjZ5P6JM0Y0Pcllu0sca2vv47KchVQzFKV34tR8qreLrj2cGFWGp9vF0tASomjJuSQuF+uxhYispWZeO/YD1ufI896y7HO2hpIbAQCvX8v5/vFGEENu79iJBOEIAIAClhEghJgo15/UNEdQDCEG/YOj2FPrWxBcDSFErnJfA2IQM908diAxEG1PjycHpk+P7Tf1q6tRUtHRZk1JTgJKCTF1hVJqQAQZQAElxFBNY36p+H9HXErs/BEQIcQwGLHi7C+MOrsNB8Qkhnxh1Pr/ZDAYMBhD3NysHWs+rR3/zGetf1NZzda/8FzmF4IAxfp6domcIVeNpJ1bM5xpXML97T/9i+NXgAL63LPykx4P8rvdyHfsqL7vvWPawdVruc2hEM7b+466I3IV0ggAAGJREkmlaRJhig8dVPe8tUt9GQAA7rpb/Miet5RXtmwVPhTKwfluN/KCS9THHA/44mKmghBARAFK1dXsAkWlyrEj2r7BAbM3FieR115Vno1GSdjpQK4NN/A3FxQwpe3t+hlCADEMoO/epbwyOGD0en3I7/XirLp6tpHjoMDzUCivYGqdTuQ2CSCCAESbDdoRgnC+po/fjwIlJUzl8WP6AUUhstWKbLJMZYwBvufD0qOUAkoImHfjOjFhjh45rO392MctfxmP0+gfXpB/OTFhjuYXMCUrV3EbR0fMwcEBs7eoGJdJEpQuPd5qg47Fi7kVuk71p3+b+fedbyovhmfIlD8LBZuWc+utNmjv7THO2xdxy0ZHzaE5v52rIhwmU729RseiBrZpeNjoj8VIxGJBtv4+o0uyQOudd0mPCCKUIARwYQPbBAB47tIamgpUQgCJRUm4tVU/bbFAa0UFW5tMkvjwsDlw9oz+XkkpU8kLUBgeNvuv5bz+XwBzmGctnM3UTNWQ9fTVvAevFySjJoxYepJxWQP2ZRW3I5G3Zc4PHzFi6SmqG6rcO3FKHZnpcG9a+KhUkbscMpifa8TM6+9CFC1jX1ZxxLVhwcNctrvUaa/zAoyY5KnZNK10+9C79qXlt7nW1z/E5/gqIYQnLtewIYqWAoSYejgxkjje+SoAAHBBd4lYHJSsCwr9rM+ZZ6ktWGdbXLI10z50KHGo7flLyZ0rgc/xVnIhTxkXdJeqo+GOdPvgu4zbGvRsW/q/GIfFb0RS4xAAACCAgFACAKUAQEgULSUUZNVRSiniGEEqz2mihqkZ8fQ0MIiObaKbaIYMIIAQYxYixLAuawDx7EWfEcYu+SBGjBFJjfG53krO5xjx3Lrs4xAhJt02eABxrGhdULQxdrD1GXU0PK9X0fUCMpgp+vYjWJ+OD0Z3Nz+ljoU7LTX5a+zLym+H3GyTdlZbeJl7luertjdV3K70TZzJnB8+BFnMq2PhTn0qPqiNR3qIqmV8H1r5V4jFfGTXqZ/qM/GrNqTSbYMH9Zn4EBd0lwJCiTI41Rp9+8wvjGhq3FJbsI6bHdNPC/n+WnG2ybX/wuO1yWh/8njnq+4bFz8ee+fsrzOdI0eFgqw6oSCrLrzjxI+kstAyx6qae7LuXfd1+9JyLn1uYO+sv9OfEFrx3wzXTPDE4yT+z993dmIGMstXcOtXr+G35BcwxVYrtA8OGD2nm/Xjubm4YNVqflN3l9F2IblzISYnyfhrryjP1taxi7u7jXaEAWJZyHV2GC0nT+qHy8uZ2uoadpHVimyp1MWSx3SaJiEEMJGg0SOHtb0YQ6agEJcaBtBzcnHhnXeLj6xew2/+5t8l/2IuOemKkqvKKrZ+4ybhtrNn9ROtrfrprCyUbZpQ/8Pv5V8lkzR++3bh/o7zxrl976g75qtlmtRsWMy9dOfd4keCQZw7MGB279+nvplKkcT75r4OJ3Q3LmFX8QI8rip/9P/BGDCSBK26DnSfDwWaVnDrx8fIkCyTTHExU84LUHzlJfnp3h7jPLnki7unxzj/4x+l/uFr37D/8L77pU+0tuind+1UX8oOobwP3ys+1tVltD33jPzk8LDZv+VGYbuiUPmdt9U3Lk0NkGUqsyx80etF/i9/xfY9YgJjZoZMut3I29djdnA8EAgBpLycqQGXIXg23MBvCwZRzoqV3A3jY+bwc8/JP6cEEL8fB0vLmKqv/7393wyD6hQASk1AKADAaoN2QAH1eJE/KwtnB4M4p66ebRwdIYNnz2jvjY+TkfAMmQrl4Pw5QkgHAICKCrZuaoqM7XxTeTEvDxe5XMh76qR2uGExt8LvRwGfHwUDAZz9D99MfqGzw/hANy6ToemKSvZ3n/1f1q/kF+DS945r7265Udj+zW/ZfyJnaDqZpHGfDwXONOvH5lvYiLMLA2QYQFcUmsEYYLcH+dJpmlLVixU8GEP8iU9a7vK4kX//PnVnIk6iBYVMaVeX0fbSH4zf5OSigupqZsH3/in11bFRclkHeAAAGB42+w/sV3c99nHLXxo60DvOG+f27VV3ZGfjvA/dKT40G/WOQqVluAoAcGq+OqzbFvRuX/6oa0P9I2ZKiRix9JRQHGyAEKL4wdZnGZc1YFtUcqNYHlqGJcFBTVNPne7dNfX8wW9ok7F+xmnJ4gKuYsZp8UNm1g8CiZwNXoFMoQbRqWGqgBAj3TKwTx2abpUqcpbHDrQ8o41Fup3r6h6APCthqzCvnPwiQAjnDO8UPuQps6+svkufig8ljp1/CXKsCExqQI4VAbyKgofBPAAQJI6efym848QPbY2l2+xLym9JnuzeoU1Ee53r6h4w4+kpol/ZQI3OjrPtxHbJF3how7epSY3wi4e/o03G+rigq4TzO/Onntn/VSOWngp8dNM/axPRPj2cmNdU9n2YSTlsZrQkF2B4M5GZUfomzsidI0fFitzlfMhbTjRD4YLuEmyTvACAD5BQXI53lvxBiGF9jgLH6pqQmZIjicPtf0gc73xFm4wN6NPxQZJREkjkrVyWs1CqzFuZau59y/uh5X+Vbht6N3Wmd7e9qfJD6sjMeQAAsC0s3mxdVLKFy3aXMi5r0ExkZpDIWYlqyNgueee9R6ap2Zsqt9sWl94MKCXxQ23PQ56zMPZZ8lAoDCw0oqkJU9bm3bil2wYPGNHUhO+OFV+01BSsUQYnWyJvvPdDACgVy0JLrfVFG8ykHIEIMtgiuMBVCB6qGQo1TZ0SakpVeauooqXSrYMHiGFq1oXFm7ksZyFkGX7W8PgK42dzQAJnkSpylyOBtch9482xvWd/rfRPngUYYj7bUyaW5zQRWUsCCqgpa0lTVq9Jzk8ppZ6tjafJSv1uI5Icy3SNHGMcliwzJUdSZ/v3YAvvFHJ9ldQkhlAUWIitovNqc+QX1Z99fs8zbnchdjpC+thEKwAAUP36TJYBAICVOCtEEAMIM9HO6WbM4jbGwtoQi3kIITRVQ9ZTWpxcow8YAACkoyPNCOFWTnLmSvasSkaw+tV0dCgdGzlpaPKffZoUx1q8Iu8qDHhrS522vJWC4CpgsOCglOianprSDTkaTwweYlnpDV3P/FkatV4P8FwTiFJAN24WbtV1oD33dObJaIyEt90qfPh663V1GW3n242z69bzWz/1acuXp2fI5HvHtP1Dg0ZfcQmuuO8B6XGWhXxXp9F6LfUSCRrLpGnKNIjx3nHtYEEhLs3Pw0WvviI/k5uLC1av5be4XNDr86MAuITgYRnIBgIo9O5BbfdbO5WXZmbIVCCIQltvEu7cslX40OSkOYoRwC0txklZpvLYmDk8OmoMFZcwlbJMM7/4efr7JaVM5R13iQ+HcnD+0IDZK4pQUmSaSSRIDAIA3t6jvp5MkvjDH7F8VlWpMt8WhRBqtrcZZwYHzN777pc+Ecrh8tta9WZBgFJxCa6wWKE9Lx8XWa3QDgC4rDJA16m+ajV/+I67xEdUhSoeL8q65Tbh3pISpvLwYe2dQweVPRYrtJWUWv5SFD9I8NjtyFlfzzb29Rodp0/pR+vq2MVr1/FbK6uYuu5u8/zgoNFTXs7UYAxwe5t+JpWi16ReI4TSBx+2tGgaVZev4DdIErKGw2Q6Lw8XBYIo5+096msjI+ZgWRlTVVHB1HIcZDXt4mCX2XAIADrOG+e6u432T33K8teFRUzZqVP6kXicxvLzcbE/CwVnZshUNEIu29j4/4GCG0sfCK3M34ZYxJ398Xt/BQA495/6Bygl1DR1PsdbaURSY5QQkxqmFj/Q8juiGypkMOdYUXmHbUn5LZRSOptsdXl1x4UwwslRMylHGKc1kDrXv1cbnj4vlucsc6ysusu6oGijmZlVKgqFgQVIaP8DuMz7nCh6hhJqMk5rwHfHyi/NrmlTE9p4tMeIpSa5LGehpSZ/DWRZQe6dOG3E09dl0i8WBxdBhBiAIeKz3WVcwFmkT8UHY++2Ppc+2/f29FR8QA8nRoispiCDOSHPXyNV5a3MtA7sF0tDSxKH23+vjYW7rA0lW9Wh6VYAAbQ1lN5kW1y6lQvOrqP5kLcCOyw+xLOWSwkeZBEcEEFsqclfJ/dNnKUm0Y1YeoIapm5dWLwJWwUXtkruTOvggWv11rwWQAgRgAAS1ZAhx/De25d/AfGspPSMn+KyXIVEubzBMoQQBh/dfA+2ii65c+QY47IGkie63lAGJs8hi+C0VOevdq6re4DP8VYo/ZPnlMGplmshUcyEHJZ7x09zQXepOjzdFtl16idE1dOW6rzV2CZ6Im83P+VYXnWnc23tfWJ5zjLEMkcuNFsmipaWynN+b2soudG1ceFHnevqHgCUktTZ/neQwFm5oKvYiKUm2CxnUehT236WOtO3J3H0/MtcwH3GiCRGL1WV/znhuvLbE0kSr6hk6urquSUzM2Ti7Bn5vVSKJoaGzL7aWrZh7Vp+C8MAxuVC8y/2KaWlZcw5XQdaRSVT984e9fXdbymviBK06BrVVIXK2Tmz6UbgErPMdJqmDJMaPj8K3rZdvH9ywhxTVaAIIpD8fhxYtoxbG4+R6Jlm7fiVoskBAEAQoPDxxy1biopxWTJJYgsWsEuPH9MOjI9pQ2XlTM2DD0mfdLqQZ/db6qtX6xyMjpqDPd3G+ZpadtG5M/qJaJSEK6uY+sEBs/fVV5RnH/+U5YtNy7m1T/828+/ggg41QhALAhRDOSj/zrvFR44f0w7wPBTu+bD00ZJSpqrjvNFy7px+4nJz4YRQyvNw36+eyvzgc09Y/85igdZ77xM/zrCQeedt9Y3sIM7dtFm47fC76ttNy7l1r76iPDvfi0jXqVFXzx4xDKCXljM1HA+FI4fUd9we5FuxirshlIPzS8uY6ktl5AwDmV//ztWUl4+LOQ7yViu0ZwVQaGqSjDWf1o6dPKEd7us1OlSVKl4fzmIZwHl9KKu8gq3t6zU61qzltxw6KO/BDGBWr+E319YxDS4X9PT3md25ubgwEEAhhgEsAECXJCR96W9sVcePaQenJsnYzDSZ5DiGyw7hvJ5uo33XTuPFr37N/v0zzfp7p09pR+czHB4ZNvsnJ82xpiZu7bPPyE92dhgteQW4WJGpbBhA27SZv11RqGLOo+BhGMCOjpgDP/tp+p9WreY3rV7Nb/Z4kD8WNSLqJc9JdgjnbdzI3yqKUCoqYsomxs2RA/vVXQgBtG4dv3X1Wn7zyIg5MNhvdM93vgDMqt9uvEk4mUjQmCLTzKmT2hG3G/n8fhTcs1t9jeMg9/Aj0mcWN3IrwTwED+t15PjvXftV59q6+6luakr/5Nl02+ABLugusTWUbhUKAwuU/okzAAJgRFJjkTdP/lifjg/J/RNnGLvkm9tYr2Vc1gDEiI3uaX4KQgiNeGaaXoFIJZouE0VLAwCgWBxchDhGiB1oeYZxWrNcmxY+5lhZfRfjkHxzRMW1AEIEkVgSbBByt/wAIIgTyc5X3ZsWfYwLecv5HG8lAIDCq3jwQJbhKKXETClR96aFj9kaSrdmusdOaFOxAbE8tBRAiK61G0Y0XWGc1ldsi0u3WqrzVvM53grrguKN6sj0+dj+lqfVsXBX4OGN32U99pxM58gxI5a+qvEiJcQwYqkJAAAI7zjxo+TJrjdsi0q2kJQcHfnBKw9nf3zrj2yLS2/iAs4iiOCJS1+UrMeeCxnMKb3jp7SJaJ8eSY1jm+CSqvNX2xrLbo7saX6KyGqCmqYuVeetZl3WoJmSo1JFqEkdmemUe8ZPYklwQIxZa9mFBHcAACAASURBVF3hegAh5rI9pXM+TZAappZuGdiHnZYsId9f+75h9WWvRTdVpX/irDlHKDLOWYJCnoz2SdX5a5DASqzHFoIsZuk8IztmUo6kzvbt8d7a9ETqTO8eZWDqnK2h+EbrwuLNyuBUy9SzB76OJM7qumHhR+dUTVcl0QCAkAu5y9TRmU51JjEsVeWvsi8rv5X12nONWHqKMYnJum1ByGIeXEUZh62CSyoPLVVHw13jT+3+PCCEWGryV1tqCtYyTotfn0mO6uHkKJ/jrVQHJs+RtHLNJIzcP3GGaoaC7RafY1XNh41YasKIpMY9Ny/5LMSITbf07+VzvBWMw+LnQ55yAMDxa60NEUJCafFyqaZ6G7Ja/OkTp36L7bYAkZU4AODla60DAAAFW8sethW4KohqyEXbKjqwyL6kxpTrHvW6EAhhRrQHqrx59XcLVm8xRIygpiP9CLMCwszbxPzzXHxBiLDdGlpckr/pUZ6z52TkmS4IMSMr0X6OtfgAACCjRHo0LTlRkLPmywLvzONYy081/YNRuv+TwDCAYRjITk+RiSd/mv6eqlC5aTm37oZNwi3haXLdhrWaSpXeHqNj4yb+1rlGyc6O80ZLQyO7orSUrVIVKlMCSG+P+QEPsMshmSTxTIams7Jw9sc+Yf2Cz4cCJ97T3l2zlt+Sk4sLnA7oIgQRhwO6Lj2W4wDPsJDdtVN56eB+ddf9D0mfDGXj/HSKJjEmTFk5UxOeIVNdXUbb6Ig5lJfHFS1dxq4ZGDB79u1Vd2RloVBuHi7UdaA7HMhFgUn37VXf3LNbefV8u3E2EEA5HA95SYKWsVFzaHqaTM43qkoIIPE4iVbX8AsBAODYUW3/5CQZKyjEpSwLOdOkht2GHIEgDoHZBJnLor3NaI5FSXj1Wn6zLNN0Z6fROjFORles4jY88KD0SVWlitUK7YIAP6CEtNmg3Z+Fsu0O5Pr7b9l/Eo+TaFub0fyH38u/Nk1grlvP31hQyJQiBPD0FBnX5ok0vxwmxs0RXQd6V6fRemCfulNRqVJSwlTu3DnbHLz5FuEujCHjdCGP14sC4JLR1ll6B9BUmiZlmWZ+P+upKQQCOHTTNv4uQAHgeSgqCpVj8f+ahCxGYMRFf7F8qZ7W4gACxFi4eUfy/mRAiCDGrFiS3aBPxwfknvFTs2mb6WlLbeE6+5LyW1m/Iw/xrAhMoscPt7+gjkUuazB+IfRIctxMyhHGYwtZawvWMWtq7zNTciR5vPO15KmeHdpktD/3L25/WiwJLkaz3jQfIBWoaeqAUqqNR3pmXjz8bcZpybI1lt0MGcxR0zTlvvHTQkFWnVSdt9qIpiauV5HBZ3vKqEkMM63EzFh6Uo+lJhGLOfvSituoaWrRt07/jGq6YiLEWOsLb+CC7mKIESeWhZam24feVcfCnYhjJMQynGNl9d1E0dKsx5ZNCTEhwpiaxEid7X+HD3nKLXUF6wBCFzUlkcBZiaKnonuan1QHp85Z6gs3sB5bSA8nR2P7zv3WsaLqTqobihG7PuLqaqCEmMCkJp/jKQ9+ZNM/U0pJ/N225yGDOaLqGaJqaQo+eC+xXfJKVXmrjHh6OtMxcjR5umfn3GhXoaUqb6VYMttMhhhzVNMzRLk29a0pqwmlb/KMo6nyQ0YiM40l3i4U+GvNtBpXJ6K99sbSm8WiwEIAAJQqcpdH9zQ/BQC4aJxT6Ztoju49+2vfXau/gljMT794+DvJE12vc0F3cbplYJ8+kxix1hasszdVbneurb3fvqLyTmVg8ly6dXC/fWn5oUzX6HHjCom1/11xXQQPRgBXlLM1A/1m99lm/Xhnp9HidiPvtluEe4qLmfLsEM6LRkh4107lpb/50vx1JifISCJOYn4/CpZXMLU8D4VwmEztfUfdceqkfuSJL1i/UVnF1INLCB5VpQolgJw+pR/dt1fdefc94kdME5j79yk7h4fMvsWN7MrwDJmSlcvPDV8IixXampZz67o6jbZf/SLzw5Fhs9/tQf6Fi9hllVXsgkSCxu0O4BobM+dVVryPVJLG29uMM+UVTG0sTiL5+bh4aNDsRQigGzby20QBisXFTGVuHi4CF8xYIgQQz8+aIv/gX1Jfr6pmFzQ0MFXPPp158iOPWj4XiZDpZJLO26VUVarabOg3LjfyPvyI9JmjR7X97x3XDubl4+LBIaPv2WcyT86ZM3NdnUbrlUivZILGYzESCQRQqPmUfnRk1Bysq2cbV6/mN/E8EAoKcYndDh0AgP/YmPh8KMvjQf5kgsYIBaSgkCkdHzeHE3EaJQSQd95WX58YN0eqa9iFJSVM5fS0OanINNPTbbQf2K/uMk1gZGWhUCgb5wk8FBACOBjEue1t+hnDALrNjpxoTh0iSdDqz0LBri6jrWk5t95uh47eHqPj1En9SFYAhz7/hO3rZWVM9Ssvy09fyYhPlmnm3Fn9xL33S584c0Z/T+Ch8H4XbGDA6HU4Rdf0tDEx3+aeUkB8fhz86tfs/6JrVN+zW3mVF6CAMWBU7eLxksoqpi4riEN731F3vPSi/BtCgJmXj4sbG7lVThfyzHpKkXgkSq+6aO/qNFqjURLOZGhKFKHE8ZBvbdWbs7NxbkkpUylJ0Fpfzy6x2ZA9mSQXdbqEPF9l8LHN37BU5q5Mtw4cjLx1+qdK/8QZW0PpTazPkTfz6rF/SbcO7Hdvafg447QGtPFIt1ia3SgUZi1wrK29n3VZA8rA5LnIrpM/cayu+XCmZWA/nPMm0adi/dScf9SCKFraTKtxgBFjqS1Yp4cTo5aqvFXadHwAUECwXfIhnrMwDvHaCB5KTVNWk0JBVn3ieMcriRNdr+vT8SHO58zngu4SfSY+xM368FzROwWymAd0Nmozcez8y5G3Tj+JRN5qayjZytglH7jMC+xKIGk5po2Fu22NZdusC4o3qkNT7erwdDu2S17/6poPi2XZSyihRJ+M9V8pgeCPBSl9nwji83zVluq8VWZSjmiTsX73jY2PCwVZ9QAAwHoduXOky0UkG7YKTjMpR8Z//tbniKpnpMrcFaI1e3GmY+Qo67XnOFZU3SnkeivDb7z3Q7l77KTusmZJpdlLtKn4QKplcD9jl7x8rrdSKgstYdy2bHV0pkufSYzokeS4OjzTzvnseUYyE6aUEsNp8evT80ttiapn9JnEiOemJZ/mc7yV6likW5uM9jNuWzaX5SwAEGHW58hjZkm+y0q7qWYocufocWqYmve2pifUsXAXRBBrU/EB1uvI9d7W9AQUOAviGQlbBMfVbi9kGR5CAFOne3dFdpz4ERfylNlLsxv1mfhw/GDrs0jkbJ5bln2e8dhyIMtcleBBAmdlA65iklHjgYc2/CO2ii7EMQJR9Yw6NN0GWcxLpdmNkMW8NhUfJJpxxXoXwggnR4luKFji7SSjxjMdI0cZh+RTh6baUmf637YuKLyBcVuziapnOL+zAFwHwQMQYoTSknXIInmIoiQAZjjI8zbMsNfsPfQ+MM8ImfHEAGIxZ8m2FzIiYwGXGR+8HoiOQI0zq2wTpZSYhprWlXAfwoxgcQbr0tGRUwCAif+b+v8VwIgVnLb8JW5H0XpJ8JQZhhKHAKKpSPtLdmvOUkWNDWLEioapJmZiXW963RXbeM6R43VVbMOYe37O5+d/JDAGDGYAk0iQGMYAP/Cg9MnqGnbhO2+rbxQV4/LNN4LtGMNrXrdqGtAGB4we0wTGwQPqrrZWo/nBh8VPjwyTgdOntCPl5VK1Sag5NmZek3dVKkkTskwzVht0eL3If+iQ+nZXp9GaP9fkOndOP1lUzJTb7egDilSWgxzDALa0lKnq6zU6XS7kqaxm611O6LE7kHNo0OhtbdVPb79DfHBkxBwYHTYH9r6jvaFpVFuxkttQWMSUT46bI6+/Jj/36ivy03Y7cjocyOVwIPeGG/htgQAK+Xw4wAtQaGnRT42Nzr92pQRQRQHKq6/Iz753TDtYt4BtbGri1k1OkrFzZ/UT5RVMLWYBZ7PNb9QMAADRKAkPDpo9gSAONTfrx7feJNzhdiPv0OBs0MeKlfwNa9dxW3geipeOi9ms0I4QRLGYGf7Fz9Pfb28zzgrC7KhZaRlTffKEfnh83BzZtFm4DUKArifbL5Oh6ViMRH7/vPxLhAHavIXfPjhg9tx7r/ixomKm/Phx7aDTgdy5+bjI58cfIHgIASalACgylc8268dbzuona2rZRQsXskt3vK680NZqNH/tG/Z/TSZozLxKM/lPBSMwImfn3bxT9AluMQsiiNWYPIVYzDtLPfULPrOsWkuqMclrCVpzHWXgP3k8CwAAAIIYcYxEZC0Z2XXqZ/p0fBDyrIXP9VXxOd5KZXDynD4dG+RzfVWAmlqmdWD/tZSdTfVMT4kCZ0FW0RXde/ZXiUNtL2iTsQFqEp11W7Mhgzk+4CpinJYscHkVGQUAAD2SHIMcwzvX1z/I+p0FZiIzwzitAdZlDXBBVwnVTc1IZK7Jv+lCMC5rltw9emLq+YNfZ2yiW6rOX40tgkvuHT8lFgUWujYueixzfuhwdHfzk8rA5FkzrcSEwkC9Oh7pUYemW1mPPYcNukNSVe4qyGBWm4j2GfHMNOkcPa4MTJzhc3xV1DQ1dWTmPJftLiGZi/3VEMcIlBDChTwVYkl2o9w33hzbd+63+kxi2LVx4Ucdq2vuJaqWoubVFVPXA2oSM/9v7plmnBZ//Mj5F/WZ+JA2FRuwVOatxBJvJ6qeudyAllgUWIBtojt1qmdn6lz/XrEstMTfULKVC7pLtNFwpxHPzEAGc4AQU5uI9plJ+Zp8q6hhGo4VVT1E1pJCYWAhoAAYkeQo4wEhe7D8Vm0q1h870PI77x0r/1oozKqbmwa46P+b6IbGOCy/5HO8lfblVXewXnuOc03dfVzQVaKOhTtZjyOHUmBmesZP6VOxfqqbGraJbtvC4s32pRW3mWk5lv3YlqOJ452vKEPTbWYyE/nPvu//L3BdBI8gQlFVqbpnt/pqX6/RKYpQCgZxrqpSZWqaTDAMYPr6zM72dv3MlepoGtWGhsy+8gqmtqfHOP/0bzM/OXxIe5tQQCsrmTpRgpaKSrZOkqCUucDkjZLZEZ/JCXOUYwHX3292CzwQt24V78jJxQVeH8rq6zU71ct4oVwKnw8HioqYsgP71V0+Pwps2cpvr6llG/r7zK7hIbOvuJgp11SqdnZcXbqbydBMf9/s/di0Wbh979vqG4WFTFkgiHIO7NN2IgjQ2nX8jXX1bCMA4OT7xyEEEMcBIRIhM9U17MIlS7hVE5Pm6KLFXJPXh7IGBoyey086/hHJJEkUFTHPbP+Q8EB9PdtYWcXU731bfWPnDuX3Hi/O2rhZuDWToemuritfh6pRNTxDplJJkHj+uczPGxZzKzSNqn/7lcRnv/1d+5PBIM51e5APXEDweLzIr+tA+/d/S31nZppM5hcwxRACJAhQrK1lG+x25Ni1U3lJ06h69Ki2v7aWaeg4b5wdGFB7bt4m3n3XPeJHJyfM0e4uo40CQFMpmsQY4EiUzkxPk8l4jETeH40TBCA4nchdVITLgkGcs/NN5Q+pNE0ubeLWlpczNW438qoaVYfm/H7mg2lSsnAR1+P3o8DffcP+w64uo23nDuXFdw+qb9XWsYuzs3FuW6vRPN+IVjxOYxACKGdoZmTEHHC7kTcUQvnj42RY1/6YosWykP3Yxy1VAg+Fri6jdeUq/oamJm6dP4Cyjx3V9kciZJrjQP3kOBkdHzevqjYYHjL74zESqatnGzNpmmo5p59avoJfH4uS8O5dystFxbi8uJSpCARRCADwHy8KPuguDj625bvWhcWbkye73xz/2c5PG7HUhGNF9d32ZRW3hV8/9v3k6d5dYkFWvXVB0UZsl3zIwjvUwalWbJe81rrC9akzfXsAxqy9qXI7Fnm7tbHsZtZjzyGaLuuR5Pj70eGXA1H01NyLi8rdo+/FD7U9b8TTU46VNXdzAWdRpmP4MOO0+LHd4rucye6loCYxjFh6Uh0Pd08+s/+rRNZSlqq8lZBnxannD37DtXHhR/k8XzXrdeQDAOZ95iGDeQAo0GcSw5nO0WNSZe4KW0PpVrlz+AjVDZXP9pRBeGUfn4uuUzc1z01LBoisJmIHW56J7m5+yrak7Gb7ktAtqZaBfdjCOy01BWv06fjQlQyA/+M6KSXvL0o8Wxs/ZcRSk0rfxGkAAYAIsUYyM4Mdko9xWQPgklhriBDy37dWNDNqQh2ebrcsKN7EBd3F+mRswLqgaKNYmt0YP9z+QvxQ+wtCcXARBABgC+80U0qUpJU4F3SXcF57DuRZS+JE1+uAUqoMTbeRlByZTZbCnGKXfIzD4uND3nJ9JjlqxNLzbrSpbqhmUg5Pv3zku8AwddbryBUrcpoAoaY6Gu5kXLYgtopuJHI2MB/BQykVCrIG9On4IDVMPfza8R9YavLX8Lm+SgAAkHvHTkoVuSsQL0mIYz4wDnApEIsFSgExYulJS33hBufqmnupbqrUNHX3TY2fhggxiGUE1mPPuRajZWQRnIhjRYgRJhk1Hj/Q+rQyNPsZslTmrhAKAwuUwckWqTJvJdUN5XoW49QwNSJrqfSZ/rfDbxz/V/uyituwTfJo45Fez02Nn+KC7hJlYOocH/JUMB5b9rXWBWBWjo1ttiwjEh2kmppmvZ4iZJW8xkxkXu+p+RA5P3XCWxdYkRiMdWhxJUzN//uNj82Tv4y3uPM1OTE+3Lb7a9Q0lEDpys8ACijC126A/d8FCDGcVcqqEnhHHmZ4u6LGhzjWkiWJvgovACCaGDjIsRYvx1i8CLGiyLsKVS05RqihWiVfVVoO1IFLGl//k8AwkOFYwOXmMYVf/Vv7vzQuYVe1nDNOrl3PbW1YzC2HEEDJ8kHD3vlgmtRcvZYfVWQqr9vA33THneLDHi/yi6IhFRTiUr8fZWfSNBWPk2siIjMZmlYVIEfCZOq730l+GQAAPnSn+JAs08zLL8q/tTuQ84tfsv2jzY4+QDLD2WBCfM+HxUe3bBW2ezzIjzFgBgbM7ljcjCAE8eOfsn4RQoq6ZxtZ63gO8rwARYsEraIEJYYBnCLTTCpNkw4HcmUyJJWI01gsRiLRKJk5d04/2XHeOHf0qLZvYsKc13SVAkAxAqimll10zz3io3n5uGhmhkw1NPIrNA2oySSNeTzQz/OQn68GALNK8q993T7ucEAXRgC1nNNPIQRROk2SJSVMZf0CdgmEAM153lzUiEAYYgAAPLhffYuYwNx8o3A7oID29hodu95UXiwqZso3beZv4zjAu93Iy7KQA/OFOVwChgHszJyCafMWcXsySeL5Bbg4kI1z29r05veOaQcXL+FW5hXgYstlnifToAYFgBoG1TkeCFtuFLbfcaf48OFD2tsvPCc/ZXdAVyJOYuk0TdF5/Ej+VCAWs+4Kb0PlA/U32nIdpVpKixHNVHin4HOWuOuITlQsMNLU6fEDWkKLuEo8dYzIWPTMf35cM8QIQ4GzUNM0zJQS5fP8NbbG0puobqjp1sEDgALqXF//EGIxTxR9tpl3DaCGqQcf3TxAdVNTR2Y6jGhqgs/31/K5vioh318rVeQu57I9pQBBLMyqM5o/WIQSAAAlspaS+yaaR3/8xscRz0lCnq/aub7+ISOZCSOL4EQCazUTmetWPkKetajDM+eVvonTzrV1DxqR5Lg2Gu6yr6i6k8/1VYXfOP6D1KmenUJxYBEXdJdABDHJKAmIESNV5q1kXdYA5BlJ7ho9bqbVWOLo+Ze0yVg/EjkbhBAxLmuQcVkDlpr81epIuNNMXzxaDRnEMU5rwFJbsDa2p/kpyDGCUBRYaKkr3PC+LxCX5Sy8mt/knwIjkhpXGcxFd5/+GcCIcaysupv12nMyXaPHqWYoAHzwmZ8L2/BYavJXW+oLN1BFT2vTsUG5Y+Qo0QzFUp2/mgu6S6huqOpIuON6xsrMRGbGzKhxAAFUh6fblaGpVj7oLkmOhrvUoalW15bFjzNWwU1NorMeey64jHG6EU9Psy7rXxNVTztX19wr9000R99ufoqaxJDKc5rSrQMH0q2DX4cM5hiHxc+4rdlclqvQUp2/WiwPLRWLggud6+oeyJwfPpI41vEy47S+YcT+e6t6rovgsViQLSPTNKCAbrtFuCcYxDnt7cbZ4SGzr6qaXQAhQLJMM8Sc35gNAABME5j9/Ua3rvNaNErDWQEc2rhJuLW4BFcsauCWW63QVlHB1LpmoxX/SPBQQCkFVFGo/PJLyu92v6W+vHkLv900gfH885mnPvcXtq8lEiSmaZePq74QwSDKYTnIL1/Bb3A4kftMs378wH7trUAAhdas5bewHODSaZpMz8UlXgmEUPKhO8TY9DSZ+PlP09/TDaoXFzPlbW1686IGtmlhA9dEAaD5+UzRhcchBBDHQz6RoLF3D2q7396jvlZVzSyoqmIXpFM0OWf6fFVMTpGxcJhM5+Tigh1vqL8/dVI7vHAR17SsiVvrckJPf7/ZPThgXJH40HWgRaNkpq6OXfzEF2zfTCZI/OQp/cjSZdwaSUIWlqGs1QIvMsIVBChpGtVOntAPIQSQw4FchcVM2dKl3OpYnEQPHlTfWriQXaaoVDZNYLa26Kd4HgobbuC3RcJk+ldPZX6AMMCmCczBIbNPU6mam8cUOuzQaZrUONOsH9fmVDEcDwXDoMbsiBNE9QuYJbm5fKHFimyAAqrINGOawEyl6FVfcskEiUejJNzTbZz/2U/T3yUEkKJipiI8Q6aSSZJQr5CiFQ6b04MDRs/3/in5lbw8XLRuPb/13DnjhCRBy4UKKZ6HfCAb5Vis0Hbb7eL9LS36yddfU55TVCovWMguKypmyokJSDxBovol89+Xg6ZR7Re/dkfeO64dfP5Z+efFJUxFR4d+Ts7QzF33iB8VRSjxPBScTuR+/xhsFZ1ZD6x/wlJfuIEapqaHEyMAI8a5YcEjQr6/Jt02eEDIz6rTp+NDrs2LPgYRYmLvnP1l7EDLM9roTAcX9JTyX7rrZaHAX5c82bMjsvPkTxiHxedYVX0PCjKimVKiRNauOBdPFC1tZpQYmJOjQoRw1v3rv6mNhbunX3j3mwAAKJXnLGM99pw5o+UrEzyaoarDM+dtDSU32peU38IF3SVy9+iJzPnhI6zbms3neCsBRJifTV+YF5DFPIAQIpYR3FsaPuFcV3e/Gc9MM3bRI5aGGiGDOcgxV1zcXgp9KjZIVD3DuKwB763LPm9dWLxZGZg4Y28su3nOaE/Xo6lrVRxQMzGbZBQ/1PZ87EDL06zHFrLUFKwjipYKv378B77tK/6KcVmD4NLvCTi7cWccks9SW7COKlqKsUt+y/LKO8yUEjNTSpT1OwqyHtzwLaoZijI01UrSSgw7qV8sDi7iC/y1kJn1/tHDiRGIEGNdVLwFC7wVQAABQhiymCeqnlZ6x5tj+1t+a6aVeZ+DOaNtHRjEcK5f8LBYEmygJjGoZsiM25YNEUAQIwZidEXfJDMpR4xYapL1OvLEkuzFtiXl26hp6tpEtA/bJM/s+CBkrqreQgh5blkqII6RnGtq7wOUEn06PqwMTrUACCAl1Eie6Nrh2dr4SdZrz72WqHTEYh5AABPHOl+J7j79cy7gKnKurXuAaLqsT0R75b6JZuea2vsggghJvB3MJs9dO0xqKAOTZ53r6x+yLijepI5MtzvX1N6LbZInsuvkT/WZxFDgoQ3fxhLvhAjCa5WjU2LqcnvHTqG8ZAO02QLUNDQjHOnTxsav28shNZroq3hg4RedZd5FY+8OvCr5rbmsxL5iKGbmch5GECMEEcQQAkhNal7Om4cTnbmJmf7DyZmBw1omPgIhRKahpUW7r4LhLB4AwMD1nud/JRDCPAQQu+wFaxQ1NmgRPGU8ZwtCiFmBd+QyrOgChJo8b89hMG83TS2VkWe67ZbggmR6/IzPXX4LgugEmdes+c8bGAOG4yFfV8cu3rNbee3rX1M+Z5rArKllFnm9pn8uivzaDPnnoKlA1XSgFhQwpe1tevPrrynPp9I0uXQpt5rlIDc9TSYM/dqIA8Ogxg//zZkSJWi54y7x4cIipiyVJPH+PrN7y1Zhe3ExU2G3Q4fLBb0MA/GF4/WqRhViAsLxUBBFYFEUKmMMGI4D/Dt71Nenp8nE45+yfDGdBkm3B/nSKZqMhMlMMkniiQSNxeM0Go+TaCxGIrEYiaRSNJFJ03Q6TZOpFE0kEiSWStLkpX6N84HjIV9UiMvGxshQKk2TxATm8WOZA6OjZPCmm4U7N9zAbxMleNV0y4kJczYREgL4/X9OfU0UobR0Gbc6EMA5w0NGn8vFekQRighd/J6Kx0lU16m6abNw25KlZPW5s/rJ3l6zQ1Gokl/AlGy4gb85mSQJTcNqWTlTY5n1A7qqwTYAAHi92D8+Zg6fPqUfSadpcu16fmv9AnYJz0He5UJejxf74zE6l1gKPjBebJjAoBQQnofCgw9ZPnnfA+LjPAd5UYSSYQDj0LvqHkoBVdVrM36+HrhK3fW1jzV83VRNWY0pM9Onx/dTAIDkk0IQIyY9luiz5TnLtYQSyV6eexPEEPW+2vFkaiTR8599LohjRSxyNnU03CmWZjd6ti39LGQwp/SNN7Meew7kGEEsCTYAjFiAEQuv472mTUR7iawm9alYvzYW7jLi6Wk+x1shVeQ0EVlNJk/37LIvKb9FnE03+gCoSU1AAaW6IZOUHKUmMSw1+WtsjaU3p1sH9idP9ez03736K2JZaKmZub7QAIgQKvrOI5jz2/NZrz1PGZxqca2ve9BSU7AWQADl7rETVNEzvjtXfdlMZKbTHcNHSUaNmyklhi28QywNNkKMGX06PpQ607cHWQSne8vix/FcAAjEiEUCZ4EM5vSp2GDkjeP/asQyF49aIYSJoiWju08/qfRNNDNuW0gdnelgHBa/3DlymVbZiAAAIABJREFUzHXDwo/Mjcdz13Nt1wKqmyq2CE7n2roHGI8tpI3OdKaae9/y3tr0hEZo1+Xul//eNT7EsSLRDCW65/SPlcHpVkCJyef6q6Wy7CXK4OQ5M6PExdLsxjnbhmsGUXXZzCiJ1KmeNxPHO191bVr0GFW0FOOyBpxrau8DEMLkye4dlvrCDWyWs2C+Ono0NcG6rN8w00rctb7+oawHNvwDZDBPdUOJ7Dr1Uy7LVUh1Q6WUUjOjxomqZ5SByXPxI+1/4PzOAktd4QZLbcEaqSpvha2x7GbrgqIfZzpGjsyXGvdfjWv+MCIE4TPPu7yTE+ZoSSmuqqpmF6gKVaxWaBNFJBUW4lKEALJYoA0hcEVGkRBgDg6YPZOT5thLf5B/Mzhg9DQ0civcbuTbt1d9MxxmFpeXszVW28Uxj6ZJDWIC0zCA7vejwH0PSJ8oLWOqn30687NzZ/UTDz9i+WwmTVOGDq5K8EgStKoKlV99RX761En9qM+HsgIBFDIJMF9/TXnu1tuEe/PymSKMwRU3HX88N2AMDpg9ySSJ375dvH9qmkysXMVtVBQg/+aXmR9uvZm/0+dDgYvvKUA8B/l0iiZVhcpbtvIfCgZxzpHD2t71G/ibMAPx1e4lAAAYOtUHBswewwBGc7N+bPMW4XZCAe3tMTrq69nG6WkycTUfIUOneixKIpgB7OCg0XvurH7C7ULeqhp2YWuLfnpRA9t0aecMIQAdTuS68y7xkXCYTK/bwN8EwayqiOeh8PgnrV9MZ0gqGiEzDANZhgGMzYbs9rn59OkpMgEhgBhDRlFoJp0mqVSKJqYmyfi7z8pPHj+mHfhjchkgskzTN2wUbtE0qnZ3G+2DA2bPxKQ+BgGAW27kt+fl4+L5iJkLIcs0nU7TlD8LZ2+7RbynvV0/29Nttm/aItxWXs7W7H5LfWW+OqYJDLcb+R59zPIXEAHYcd5oKS1jq3WdaqYJ/oPgwRgwkogsQ4Nm389/lv6eplEtEMShnFxc2N1ltEUjZOauu8WPcNyVO2QXIpMmqa5Os7W8nKmpqGLqdR1oVVXMgrZW4/Ted9QdH/uE5S8vXPwKOd5KR1PldgghSp8fOpjpGDniu335/xYKsmpTLf17xZLg4kz78CH/h9d+TSjMWhB+7fj3o++c+aWZmTWAZb32aSOaGqcmMadfPPRtxmHxS2WhpZO/eeeLoU9v+znjsgYgi6+4+aWGqWfdt26E6qYmlYWWWBcU3ZA60/d26nTPLiTydgghUgamWvgcbwW2SfNGbb8PohuqvbGsDbKM4Nq08LHM+eFD2CZ6bIuKtzAua4APeUoBoITPdpddqQ5kGQ4JrMW5vv4hM63E1KHpdnVouhVZBZdAKQUQQiSw1xbdPgc9lhqnmqHYGkq2EkVP6ZHkmJGQw4BSQnRDAZRSI565tnlpSimZW5SQjJqwVOWtsjWU3KiOzJw34pkp1m3LBggi1mUNfEBpRCmlhBiMyxoIfWrbkxRQikXeRgklZlqJEU3P8CFvGbYILqLpMhfylFHdUKluatQwVaobKtENBQmshXXbsomipdXhmXYjlp4yoskxPZwc1afiQ0YsNU4ULUPUy5vu/QcIMbmQp8xzy9LPIYGzqqMzHZDBHNVMNdnc+5bnpsbPQJYRIL7yQoUoWsrMqHGeZ0VlaKol+rWnfwUZxPI53kr70opbAUQIIMRcVXEzJzsHCCKqG+rk7/Z+WZuM9VsXlWxhvfac6d8f+pY+HR9y3bDwI6zPkYulq3sbEFXPAEJNLstZmHX/+r/Xw/HhdOvgAX0qPsi4rAH31sWfFPL8tQBCxAfdpXOGitfkwwMZzBNFS2kTkV6i6bI+FRsQS0ONkGNEdTzSLRQF6mevGULIMcLcLP81qWeoSUwsSfsgz1mFosIVVNPTRjQ2rE9Nf6ADdvVigCjhzITos4S8tYHlekZP2vKd5cnheHdodUGMGEQHFACIIEIc5gs2l9oYibVhgRHjvZFWAMDOS0tmYqNnAETI4gottLpCDZgVbDZPfpOhpqYp+fPy38GYFXjO7rdZsxsINRSPq2yraWqpiZmW59LyVFtGifTqenqaUmJwrDVQmLP2b7L9iz4yMHrwWxBiDiFWtFtCDTzvyAEAXHV0/M8VpgnMXTuVl559OvOzFav4jTdvE+46e0Z/7+wZ/b0lS7nVVuv1ETyCAERBAOIbrynP/+Tf0//YtJxbt3gxuyKdJsn3G4YmuXIgx4VIJWlCFKHUtJxb39trdLx7UNszNGT2rV3H3ahpVCMmIC4X8rAs4MAFo52yDDIjI+YApYD8+leZH7ndyFtewdTFYiTc32d25eSiAkWmmT/8Xv71b36Z+SEhlJgEEDKXLmualMz+nP13LUrQ+SCKUNpwA78tlIPzCwtxacs5/dTkJBnLz8fFt9wm3puXhwsBAPBy5siXoq3VaDZNYNpt0JmTiws++qjl84sa2Ka976g7zp01TtbUsousVmhHCFz0vRSNkJmebvN8aRmu3v2W9srxY9pBVQVKTi7OlyRofe7ZzM+9Huz//BPM39XUsotKSphKcIV0pveBMUSPf8oSOn/eOFtWwdR89DHL5+vq2MaMTNPHj2kH3tqlvJxK0sSH75UeQwigS4NHAABA14BGCaAeD/Il4mZ0x+vKC6VlTFVBAVMSnjGnDGOWELxaM/tPgTXHURrtCjcbGT1pL3RVu6t9SyXv/+HuPcPrOs6r0Sm779MbDnrvjWgkQbCJXRQpilSzqiVLctNnO5IjO45bEsdxrp3YcYvjKkuy1TslSqTEXsUOgihE7/UAp5+z68z9ATKRKJAEY1/ny13Pw4d/DgZ7z9nY886ad60lpwW7AmcRg1jWwjsooaY931URG4l0h3uD56ND4U5TM//sZBO2SV6AEaP0jp9RR6Y7Jp/b922S1GJEN1SpOGOxXJGz0piJjrEuaxpEEGGr6J7v2NpEqM+MKcHYqe531cGpViHPX8P5HNmB14/+qzoUaJPKspbbFhZvgdwV5MKEmIBSSk1iIom32xpLtzlXL3gwfn5gf/xc/14jGBu/tC4T1bi+DTilFFBKpPLsZVlfu/NVxLMytghOIxgbDx9qe4nP9pW7b55N0yKaoVgbCjdTkxhUN1VqmBo1TI1oRpJPcxWZRekLqW5ogAKiT4UH9WB01AhERrSp8IA2Huo1Y8kgUbQoNT8auw1nU01jiOdk59qah7XxUK8eiAwzdtnHZ/nKxcK0BiRyFuY65ny+wFbBJeT5axiXNS20p/kpbBGdtsbSbYzTkkrpxwlkiCFGPCuZseTMzLsn/8OMKUG5MnslYxGd6uh0V/hI+yusz57tKc1cChHCSOKvKaP/CBBEVDcVPRAZct/U8CjjtmWY0eSMkJeygKpGMnSg5VkIIZJKM5vY2UPPK0IPxiawxP9zsnPkmOvGhkelsswmQoiJBE4GEKDZVFkAGL8zjxqmFtx99kmSUCOM0+LXxoO99hWV90hF6QutDUWbxPzU2sCbx36EBO7X10ta/SUwb4JHkqBFkpClvU0/++orytOvvqw87XIj7+o1/CaPB6UcPqTtzi9gSuwO6GQYeEXDTQBmZTJLl/H9hg709AycbbFCq6pSZf8+9V1BgCLGLGMSYFLy0TYww5hdHJxO5H70C/LXb75FvGtq0hzbcKOwbWDA7KEUEE2nmjmPEwxdB5phUKOikq3z+3FGOEJCXZ1GazhEZm7ZKt5bWMiUYQyx34/TAQAfYywvhyBCqafb6AgG6fSJE/qhmhp2MaWAJhI07nBCN6WQCiKUPqxDRghijge8LwWnfeFL8jcRBvjYUX1feQVb63IjbyBAJuZDABACyNCg2bd0Kbfmi38lf8tmQ/b9e9V3i4qZcpsdOqcmzWsuioYB9EiUhmMxGtm3R3tn/QZ+qyBC8cxp/VgoRGaWLuPWWizoI4WVpgGN54Fw2x3ig6EgnZ6YMEdtDuQkhJDJCTKalYXzZmbAFKWAzsyQqViURiJRPRyN0FA4TELRCA3FYjQajZFwNELDoSCZnp4mU7EYjVwe7akoNEkpAKdPaUfe2aG8AgCAmZlMTlY2zg8GSWDPbvXtgkKm1OtDfoRg25WiQS/Nl2EAvafb6Pjdb+M/DofoTG4eLtI1qsViJKKpVL2S6bHDjpzpGTirYSG7dOe76utLl3FrAKCAEkA/TMYRCohuUA0zgFl/o7AtGiGhyUky1tGmN6f4cfr6DcJWuwO5PB7ks9uRIxwmV93sIQThj39mpz3dRgeEEIoSlBsWcctCITrDcoAXZ58tdOl5gRhh18aGBsYhp1DD1FmvPdt7+9Kvsy5rqjI41YqtknfyhYPfsTeV3SFX5tww9fKh783sOv1rouof8gaBcNbSGFI+y1fh2lD3mWT70BG5InsFtohOLAtOzmvPghihq8m01NHpTmIYqqU2f0P0RNdbZjQ5LWT7KpBVckMGccmukRO2hUU3C3n+Gohg17W6D2YXxmBPom3w0Pgzu79GVSPJOGSftaHo5tD+88/aFpdsY/2u/KulH0GMWAAgTHSOHJvZceIXgFJiW1RyC0mokXhL/17O58iBHCtBBrPXijT/rzExBxBEyZ6x0zM7Tv581rQ4c4lUlL4I8axkxtUwne8iQAE142oIAADsS8vvRDwraRPBPiM8m1zlWFZ+F7aITqqb6kWD4/8sUimh1LutKUJNahJFi6vDgTZKAeB89mwzpoSmtx//iVyVs0oqyWwM7jz9a20y1E8VLU40PUEUPUFUPU4ULUaSWowoWowoevxaKVJXA5IEO2IZQQ9EhqhhauTiyQjkGFHITanGEm+jJtEBg666bhBFi+mT4UFQnNGIWEYAgFL70vI7xcK0hmT32Ml4c+/7lrqCDfCyNIrLASGEECOGGqYaPdW1g+qm6lxT8yltMtQfOdL2ipifWuvaUPsZ1mPLgAziWI89C1wjncSIJKb0QGRYKk5fnOgYPpq8MPIBSagRIdtXiXhWip3s3hE52vGq99amr/GZnlI+3V0ErpBOcznYFEeONhnqV4cDHYzDkuJcW/sQn+4uIaqeUAanzof2nvsDxIhxUEoBoSa4xsYPIoSRINgAw/AQIxbJEqcNDB7XJycvAEqJORMavB6/i0vwL87cIKdacyCCyFWR0tj1wrl/S1uWc3NqY+bGcG/wfHQw1AkIJVKqNRsxiLXnuyrDvcFWzso7HYXuajAHwROe7N5t9eQ0WVxZC3nZlQsoMQ0tMa0lw8NqIjxy/Vf5PwcWiy6/p/pelhGdHGPxYcRJPYPvf30m3Lt3jo8HbJb075cX3PoMz1nTVS0yYpFSKkTemSvyzlzw/1OCxzSBoWtU0zSq3Xu/9PnbbhcfmJkhUy438ubn4xJRBKLNhhw8D/m5NuaXAyEIN90sOAQBSil+lP7Zz8tfXdzIrRwcMHsdDuRiGcCqGlXpPA6GLiEaJWFNo+rLLyaffPWV5NNZWTh/663ivUODZl8yQeMVFWyNJEEZoY8mOUYiJLT9TeX5J75q+W55BVP7zg715b5eo5MXoFhZzdSXlbELkgpNVlWx9RABND1F/qzmqQDMdsETE5g2G3Q8+gX5bwcHzd7W8/rZZJImqqvZhVnZOO+Do9q+9jbUvOUW4a65zJEvx9iYOWQYVOcFKBQVMxVr1vKbNR1on7hbfNjlQh4IAXI4oOvyw9KZGRI4sF/dlZ8vlaT4cfrtd0oPMgxgDh9Sdw8OmL2p6ThzwwZhG8sBnmUhd9c94iN2Ozp9rVopIxPniiKUcnJwYW4eU+RyI19rq37mzTeU5xJxGlu6jF9bV8cuSU3DmWOj5mBiji59TaMqIZR4vMi/Y4fySkMD1xQJ09D/873o1w4f0nan+NGsFBbOr8v+eiD7LdmclXfash0lnI13KdOJcd4p+KzZzhIAIQq0TBwluqnKqdZszGEhGUiMCW7Jz9sFD7jMe+RPBeOQfQBAmOwaPZHsHj0FIURCnn+BpSp3NYAATm//4MdSaWaTkJNSBRDCrNeWOd+xjUBkGLKYty8rv5NxWvx6IDysjQf75PLs5fblFXcxTmsqAIBe7k1zCdQ0dQAoRRwrum9a+H8cqxc8iDhGxFbRzfrs2RNP7/7aRd0HAfOs4f5zbEppzj/cF4cM5iCCWB0OtBNVT/AZ7hK5Mmdl+HDbS0hgLSSpxUIHzj9nxpIzJKFGZk2I9QRR9DhRtfjFGipKEmqUKHrseuooohsq4llJyPfXJjqGjyTah46QhBrREUKUUEI1XfHc0vhlLvXqte5/B9gme81wYipytONVapgal+LIDb535rfWhqJNaDZ04rL5AgAQShDPSs7VCx4kih5Xh6c6tNGZC0Y4Mcl67VnujQsfxTbJDTFi+XR34fVcMxZ5K9UNNdk9ekqfjozwGd5SuSJ7BTCpSU1Tty8puw0QSgCEEIncNSW8Fw+xt3Nee7OlJn+dVJG9wrao+BbnquoHiKLFIMcIECM22T12knVZ09TRmS5gmrqQm1LNeW2ZsdPd70KBk6WSjCXe25b+LUlqUcjgp+e7V/hLYd4Ej9OJ3BACODpqDkkStJSVMdVeH04dGzWHYjEU2XAjfyuEADmdyJ2ejrPBNcwPk0kad3uQr7aObdy3R9tBKaArVnEbamrZxZKELFOT5piuf1RqZRhAJxQQWYbWY0e1fVNTZLyujm0cHTWHIhc11MQE5nw0sYODZi/CEBcXM5V9vUrn8WPafowhU1LKVp88qR8eHjb777lP+uySpdxqhOC+qxEGggCFBz4lu9pa9bMOJ3KtWs1vyi/AJePjZKT1vHb69Cn9aMNCbikhgHx4HAgBZBjImiYwX3op+XtdA2rDQm5ZJEyCgwNmLy9AkeXAvNrvEAIIYYi2v6E819drdpWVMwvyC5gShoFMNHrteEnDoEYsRiNuN/J97RuW78djNHryhH7Y40Upa9fxN4silBxO5MYYokvkx9iYOTwdIJO6DvSebqO9rIxdMDVpjr/0QvJJjwf5MrNw3i9/Ef/ByRPaIcOghmECwzSAbhjUMGb/v55Ts/D4GBn2+nBqWTlbc8NqfmNHu3Hug2PagUiYBOsbONHlRt6tW4V7287rZ8CHzKwvB8NAFmPA9HQb7ZEIDdls0JGXxxSfP2+cCQbJtHaVDjC7A7pHhs3BN15TnpUt0Pr73yV+snoNv7m4hKm8WAwpAMya8w30mz23bMX3hoJk+uwZ7YPuLrMtPQPlOJ3I/eTv4j++407xU1nZOL+klKkEABy82v37UlBqNELDQ0Okb81afvOGjcKtFgu0tpzTTx06qL2naVQFAEBKZwtViBDmU10FAACQ7Js4m7wwfNS5tuZhbSLYN7PjxM/16cgIY5d8toVFm2Jne98P7Tn39EfJHQBmlfoU8BmeUueaBQ9hWXDI1XlrWI8tk2iGAjDCUln2ssixC68DAK4oZdRGpi9Q1UiYOtGSPWOnlZ6x00JBWj2f6ioI7j77JBY4KzWJ7lhZeW/sTM8ucA1jVjOSCBih2ATrtWchjpX4/NQ6LsWZpwxMtCR7x05JpRlNjF32MnbJB670HjKIThQtmugYPibkplS5Ny/6EpZ4e+xc/x7OZ89GHCMigZUvdoPMT/dvE92IY0R9KjxgxpSQY1X1J4FJDDOmBCHL8IAmZzt55gNKqRmf7eChhqnN7Dv3TOxszy7GZU231hZsCB9pf8VSnbcasphHAmsBl81/vKV/rz4V6qcmMQCCmHNZ0yGD2NjZ3l2QxTyWeBuWeLs6ErgQOdrx6p+zOPjQTQAAKLAvKbtNLs9efsnzSJ+OjkAGc6zPng0INSmhJmIxD/GVk7gAmO02ca2va6eGqUGeEe1LKz7hvbXpbwClRMhOqWJsogvxrIyvcTpETWKYST0GKABiUfoiqTx7Wexk1w4IAPDesewbvN+Vb0ST00TR4piTRNZnz77WnZrR5HS8pX8vYyvzxM72vodEziqlugqUoalWbTLUz9gkj2VB3jrGJnkgywiOVVWfxBJ/6lK33JWAOIZ3rllQZoRiE+5Ni744m6Rhy0hcGD4SPdG1w4jEJ60NRZssVbmrGKvoIooWu5a2nc/NaZTra+42pgJdVDdUbJE9AABgzAQHAAQQ5ectv3hK92/Xuu9LgBihyk835I0dHdzBCIxsL3BXBjsDp6lJDW9t6gplOjnBSKx1pm3qOIUQiG4pdeLEyG5XmW/h0Ps9zzuL3bVzjaur8RmWlw8znOQGAADMCg5AqTk9cv51Q/vfFRuOMCdbpJRKRQ31AwhgODp4JBIfPXmlz8cTk23BcO9uuzW7KRTpP6Dq0VGL7K9mWdn3l7zuvyQMgxqaDlRdB9rEhDnyd9+KfGFmhgTy8pgijwelTE6ScVmGFo8XpQAABq81HsaA8cx63eDSUrbKNHXzuT8mfxkIkMn1G/itpWVMFZgrEuYqiEZpWNOA2t9vdq9dJ2y5+Rbh7kSCxnNymMLUNJTJC0DkZ0MjPtJZqWtUr6pmj46OkKG+XvPCsSPavoWL2OVLmvhV/X1m99vblRdlGVo+9bD82Oc+L/9NRgb+0egoGbxa7Xk5rFZkwxjgUGhuT6FkkiYuEVG/+VXih0cOq3sqq9j62jquMRwmwd/8KvHDwUGjZ+s28T4AAJwPwQMAAIACwLKQa2nWT3z9a5HPlpQyVQ0LuWW5ubgwKwvn2R3IdTnhpShUqanl3t60WbijaSm35rk/Jn55/AP9AEIA5+czJUUlTHlzs37i1Ent8MabhNtW3sBv/Ozn5a/6U/HPxsfMOcldrxenbL1V2JqaijJbW40zaek4a/9e9Z3W8/oZQgHJz2eKvR6U8uILyd82LuFucLmQZ2KSfIxonyV4AFncyK3ML2BKDuzT3t3+ZvKFZJLGV6/hNoXDs/IuZp4d/tcDa5a9kLcLHtErpbf86tQ3gxcCpzNW5mzzVKYswRzmA+cmDsdGI328XXBVfqb+H0WfnMEIjBxsnzoJ/vwEj5+apmYqalTMT62VK3NWkqQWU0enLzAOOcW5ZsGDUklm08VDJshnesvnOzYlxIAYMazHnoUtoivZNXoCQAgZlzVNLEirB4QSQCi5kq8PNYhGCSDYJnpiZ3t2TTyz+2tifmqtWJDWEG/u200SF3+OUkCvo0PvEhKtA/vlsqxlyd7xMxAjls/ylpkJNRLcdfo31CQ6MIgGMGIih9teUkemL/y5ayhjOjpsRhPT4f3n/5joGDrCOC1pUmnmEgAA0Eanu4yZ6KiQk1IlFqY1gF2nfwPA/EnqqwEymM373gN2IxyfhBgyiGelwOvHfoh4VvRsaXw82aefBZfZAlDD1D23NI4BjFjO78wLH+14LdE+dMiMJYNcmruIsUuewOtH/oX12DM9Ny96jM/yVXB+Zx4A4JqyQogQcqysTFX6J88R3VSk4oxGx8qqexiXNZ0apmpMR0bCh1pfUEdmunx3r/g7CK8u9f8wtKnwIMToyfDR9lewJNhZjzVDrsxdZVtUfDOf5a1gXNa0mV2nf2VGk0HGIfuS3aMnI8cuvG5GEgE+y1vGpTjyWK89y7Nl8eOJzpEPwFV8P/8nMG+Cx+GEblGE0pKl/OolTfyqcJgEm8/ox7Oz2fy8PFzU3WW0YQxxeQVTW1nF1oFrJHlYrNAemCITb29XXnR7kG/Zcn6dwEPhheeSv21ayq/mOMDr+ke9SSilVNeoVlLKVMViJCKKSH7u2eSv9+1V30GXXrQQzOvwcWzMHD7XrJ/IycEFkgQtd3xCeqi9TT976qR+tKiYKW9ayq1mWcCtXctv2f568jkAQOuVxvJ4cYrVBu1Z2Wx+RjrOTktDmTvfVV9rPqN/kOJH6Y992fL3+QVMyfY3k89/9H5mTdy6usw2nw+nPviQ9EWEAH5vp/qG24O8SpIm57PAQgSgx4NSLpm+bb1VuE+8aGoHIYCKcuVUqUswDGDEoiRiGsA4ekTbu/Md9TV/Kk6vr2ebmpv1E1XVbIPNBh0X22wJAABMjJujj/+1dddDj0h/dWC/ufPMaf0Yz0Nh2Qp+bVYWzscMYOob2KYD+9V3o1HyJxnAxWIktnWbePjhT8tftligrfmMfvzIYW1PUTFTvug24f7aOq7R5ULe6WkyeS1CS5KhBSGAJibIWH4+U4wxYDIycU5GBs5xOJH7cmLxEjCG6Lvfszkzs3BuZRVb9x+/iH8/L58pXr9B2DoTJAFhtp05CAAAuk71JU38ibFRc2g6QCbLK9iaBTXcokMH1ffa2vTmG1bxG3NymELZAq03bRLusFrR2SvNEctCZnEjV04oIDdvEe5atJhbHgmT4Ksvq08HpshERSVbu3Q5txYACv7zVBMCiOTZja46NNVGND1JklpMGwv2iAVpDVyau4hLceQhWXCED55/Xg9GP06EUECoQTRqED1ypO0lIcdfLVdkryBJNWJEkzOc35Enl2ctx3bJC65G8IwHe824Eoq39O8L7Wl+yrmu5mHO58yZfvv4z5T+iXOW2oINl8yS7U2lt0GMfne1TeqlExKpJGNJ2udv+g99KjIY2tv89KwvS9FmITulkiTUCOu1Z4ErEDxENxSqGxpjE91ScWajNjrTnewZO0lNYkrFGYsBAICxSm4k8TYAwLyeXWyVPJBjBKk0q0kqzmg0IomA0jfRzDgFO0SQARRQME/nfUoplcuzI5RQM3qq6+3pt4//1LWh/nP25RV3qSOBDl7ibXyaq1CfCg9Bnv3YOyLZM3oq2TV60lJXsCFyqO1FdTjQgR2yT8j2VcplmcuoSXR9Jjrm2lD/WWVgsgUAcGE+13U9MCKJANFNFTImHz7U+qIyMNmCLaJTyPFVI5FHMztO/nuideBgxmO3PM2ne4rno9+nhqkBCOFFH4DTgTeO/VDI9lXI5dkrkMTbIcPwSBLsEEJ4JQkDJYS41tdFLhaXmdETndupSQzWa89GAmfRA5EhZXCqVSrNaGJmzRAjBdJHAAAgAElEQVT9c43zYZhxJWKtK3zDurBos/f2ZV+Pne3ZlWgdPAgIJUJ2SiXrtWWRpBYLH2l/WS7LWmZbWLJFHZ7uxCL/UzOpzvm3AyGEYmFatZDjr6KEEEComegYPkJVPakMTLZABvPuTQu/CCCE2thMFxI5qzEPM0mqaXFjKtBNCTEhywiAZQSIEAMQRETTk9AwVSMYHIQIYUrm5/Ui+605cpotf3pX17NSiiXTVIyENdNRxFo5R6hr5lxsJNyTvjxni6vct1CdSUwEWiaOYA7xthxnqXeBf7mpmldco3Q1PoMQ/oNo91cwrGCLh8Za/reROwDMWmMpamhA0xMBhzV7aTQ+3kyuIjODEGIIMWcSLRaODX/AMpIbUEowunqH2v9mGAbQDZ3qpknN93cpb67bIGytqeUax8fM4d3vq9srKtk6SYYWnw+ngnkQPAwDGJcb+QwD6M89m/j1b3+d+NGSJm7Vxk3C7cPDZn8ySZMIQTRfv0MAZo2WCQEkNxcXEgLIG68l/5iahjM9HpwyPm6OLFzELZuL4AEAgN5e80JLi37K70cZTUu51TdvEe7q7DRaZ2ZmPRTTM3B2airO8HiQT5SgfOID7WB2NnNoeNjsv1JXMUIQud3IW1vHNn7j29ZNhg50rw//3dSk+TEDUEoBNQkwdR3ohADypccs36qsZOuPHtX2njyuHWJZwD7woPzF2jq2EUIAeA7M28g8JxcX3Hu/9LnlK/j1nReM1uaz+glZgpbMLJznsCPnXHYHref108eOavtuvV385JImflVjE79K16jW1qqfbW/Tm8NhGtpwo7AtI5PJhRDAhx6RH8vNY4pu2iQ+d65ZOxkIkAmMIeNLQall5eyCv/2GdVPjEu6Gri6jraSErezsMtqOH9P3j4+TkfoGrolhAPdP/xh9gmEBs3mLcNfwkNk3NUk+ViOoKlAJne30bmnWT/b0GBdsNmRfuoxdvX4Dv+2Zp5I/BwAA9jok9vNFYjI+jHlGNDWiRIfD3VpUDbIWzh4fjw3Ex2L9BbeWfc6a5fgN0c1RhmfE6HCkJ6Uu7QZ4jQ7Y/w4YhyUFQojcGxsene2yiQwne8ZOc35nPmOXPIACGtx1+ldCnr/G1li6TcxPq5tPWMbFsf1E1eNTrx35gRlJTNmXV9wll2et0CZCvVMvHPgO63PkuDcv+pKZUObs2KK6oQJKCZfiyMEW0cWluQohywgTf9j79fj5/v1I4GYl9hD8tzqtIsc7t7s2NvwfqTRzSXDn6V/HzvXtQTwr8pmeErl8tosdCqxsXVS8RX3tyA+ud/xrQR2ZvkApIEK2rxJbRbcRio3r05ERuTx7uX1p2Z3xtqGDkQ8uvO5aX/cZxia6wZ8pURLLgh1yjCBkp1Spg1OtMztO/pxxWlLdmxZ+QchNqVbHZrrhHPOZ7B47ZYbjk0YoPmEEIkNyVe4qxi6nKINT55XesdNYFhyWqpxVSOJtQqanzFpXsBGxzH8Q3biqpQoSOSu2SR7Es5J365InpOL0RsZlSTPjSih6tOPVyIkLbyKJt9sbS29lbJLXVK7PbPziXiN48V8/hPBw+OD551Mf2fBjsTB9YcrdK7+jz0RHk10jx/XxUC9kECtXZK+Qq3JXqUOBNpLUokK2r8JSlbsaYtR2NTXDXxrzJnisVmRnOcCNjZiDb7+lvBiNkoggQFFRaHJoyOxTkjRZV88t+do3rD+orWeXiCJ88kpx1ZKM5L9+wrLO7UG+z35e/mosRiNnTuvHFIUqRUVMWVERU97aqp/RjY92UlwyNSspZapYFnK7diqv2R3I9c/ft//65AntMMsCDmOA53r4LkcsSiNvv6W8+E//bPuVSQB58reJf+N5ICxbzq21WqH9rbeUF4uL2cqVK7kNT/yN9Z9Ky9hvdnUZbYb+X0a6CEFks0PH1m3iFpcLecNhEpxgAXvokPp+IEAn0tNRVl4+U7x3j/o2w0J2dIRcFsVITVUFKqCA2qzQ/upLyadHR82h0jK2OhYlUY8X+6xWeE2tIoIAeX0oxetF/k2bhTvb24zmoSGzb9lybu1s19C1dcKmCYxYjEbiCRo7ckjbvXQ5t3bRIm65rlPN4+VSGAawggDFy4uWg/vVnes2CLfseV/dLopQrq3jGt/bpW6fGDeHS0qZ6vvulz4XDpNgdjbzzMSEOXo1LyCEILLZoD01DWcGpsjE1NRHC5QjR7S96zYIt3S0G82aRtUvPWb5Ns8DfmjI7OM4yCtJmrBakf2iad6cG2mEIFy9hs91upBn9Vp+c2uLfvr999Xtr76cfLq8gq1Zuoxbo1+hg0cQoChboFXXgaaoQFm0mFtRvYBdmOJH6fGL8eUf/nxzs378fIt+es06YfObryef279PfdftRt66eqEpFiXh3/4m/qObNot33HyLePfoKBlyONFvZiPm/2tjynGQKyhkStatF25JJGhclqHlwH51V1eX0abrQKupYRcTQsm+veo7ixdzK6IRGgIAAEqoqY1Md1JKqbWuYKOZ1CIAQsilOLIT7YMHqUlMa33hRpJQw0rfxMcTCgCYJUsxxEjibe6NCx+lhJhK30SzNhnqE3J8VWYkGWAcFr9YmL4QANB3pe+VJLVosnPkOJ/pLfPevuzrAAAQPnj+BT7NXeTevOivWLctXZsKDwiZnjL35kVf0sZmuiFC+690IoJ4VkICZ9Gno8OxMz074819uymllE93FwPD1CNH21+1LMhby/oc2QCA43ONcak4MGaioxN/2PMNbBEcfIanlPXYMkO7z/7ec0vjX2O75MOy4AAAzEsKwtglD2QYXg9MDU9v/+DH+lR4UMj1L7A2FG0yL50mXUfiAdUNlWp6EkmCw7ut6atCQVp9snPkGLaKbj7LU0EppQAhNJcJMCWUOpZXviXk+qtjLf17Gavg5tNcRdrI9IWLXVJAzE+tdayq/qT/wbU/sNYV/kLpGz9jRBLTV2szhXDW54WxSW4hz19LdVONt/TvI/rHCzozkgxQ3dSUwFSbOhxodyyvuJtxWdPiLf17E22DBwEAwLF6wQOc35UPWczP16BxNvlJciM+Oso4ZJ86Mt2Z7Bk77VhWcZdQkFqHZd5+8UTxioWDGUkEzLgSNoKxMaJoMTE/tRZAiOLNfbuNYGxMKs1qorqhEN1UGZvsnc91JdoHDyVaBw9aFxdvgexs4gU1ia4OBzq0sWAPgACK+f4abBXdWBJs3m1NX+H8zjy5NPNJbTLcTzVdoQBQxGAey4Ldub52peOG6vtJXAlSkxjUMFQzrkaU/olzRNFicmVOfeSDC69Hj3dud6ysvJf12XO1kelrEnXq0PAZyODzEGMWMqxgW73yCZJIBpWunn1EUSJyXe3dxmSgC8yhtb8SHIXuakeBqyo25O10lacs5h2CFzGIY628MzoYusBZOLuRNOLWTHuRu8y3KDEeHTAUI2EoetxR6KkefK/7+SuNjRlOtLizaiV7aiUvu/PsKYVr3ekVp0KTXe+b+tzk2P+NMEwtSqipGkZiGkKIfa6yrbHEeDPHWj4wiRa/FH+OEcOzjORO89Xd6nEW3dQ9+N7fqlp4yO+pvMsw1YhJ9P8rDR3/HDD02S7tGzcKt1ZXsw1VC9iG9jajWVFoIjsH5vM84CGEMCUFzSst7pJ3n2EAo+WcfnLjJuG2G27gN545ox1zuZAXAEAZBrAQzX8DmEzSBKWUjo+TEZYDXE0Nt7i7y2g7d1Y5cdMm4XaEAOIFIKA5CI1YlETXrBVeuuse8ZHz5/XTJ09qhw0d6CahpiRBee06Ycue3epbDAPYvHxc7PUK/o2bhNtVFSiPfsFyuraObeQ4yM/K/QEydKD//hmnQimgViu0e70oBWPIXJSxf4zgYVnAOhzQBeBsOMj776tvPfvH5K9iURKprGLrlzRxqyYmyOjhQ+rutHQpCzPzi6SnAICaGm6x12v6u7qMtr4+o1MUoWx3QCelgNgd0DXXfGga1RfUcL9b3MitLCllqt/Zoby8b6/2TjxGohwH+foGdmlWFs7bv099JxIh4aal3OrVa/hNDQu5ZdPT5qSSBInZlC4gCjwUPV6cAiGAublM0YH96s53diivWCzQunY9v+XsGf2DI4e03Q4ncn/6M/ITWVk497k/Jn81V4eUrlONEkCGh8z+p59K/ExRaHLtWmGLx4v8P/ph7Ns93WbHlq3CPYIAxfnsN64H8bFoP28XPKZqKJJXTo+PxfqJQQ05xZI11TJxRPRIqaX3VX2FlTk7Z+Ud022Tx9WIMk0088/uSYatogsAAJS+iebIS4e+a8aSQQAAZKyiS5+Ojhgz0TEzpswIef4aPt1dxKe7CoX81FoAwNGrjQsZzKbcc8Naxi77PFsb/xoQSoxwfCL4/tnfElVPCFnecuvC4psBBIDE5zZIpoapUUJMLs1T7L196ddi5/r2JM4P7GddljTv7cv+VhubuRgsAyFE1xlqAAAwZqKjyY6hI0jkLTM7T/4SibzNWl90EzWIPvXy4e8Z0cS0rbF0m3NV9f16IDKEJWG7mbhy2MTH5gBBiATeSgkx5/Jv0QPhIarqCfuKirsDbxz7kZifWse6bRnKUKB9+q3jP9EnwwNmQg07VlTeY60r3AgRfHK+4QpXA5YFJ2IZ/pJUybqw6GaIMctnecspoWTWZ+njfRTJ7pETye6xk9b6wk18hqck2Tl6InK84w19OjrCZ3rL5YqclYzTmqZPR0dYlzXNtbH+88rQVBvEaO/VDnSl0swmPs1dZCaUCNVN1Yy7g+rpno7oic63IMeK7k2LvsTOdt0LACPGjM6Gk/x3cfFgsNO5qvo5qSSzETKYi53seksZmmpn7LJPzE+rI5qeCLx25F/U0ZlOqTh9ceaXtz0rlWUunXnnxC/AVerOvzTm/dAL4mwnSTBIplWVqqYJjKFBs9fjRf6mJm51RiaTc+a0duzoYW3PkiZuVcNCbhlC8L3LX56iCKVNN4t3bNosfEIUoWSawBwcNHszs3AezwFBEKFoGNSIx2ns8g4eAABQNaB2XjBav/fd6BOhEJ1ZtYbfpCg02dNrXDAMYLAs5C5vBZ0LpknN1FR86PQp/UhtHdt4+x3igxc6jJa9u5UdiSSN1zdwTbm5uLCnx+woL2dr/vn79l+/8Xry2aYmviUaIxFJgvK228Sc5cu59QsXccsmJsjo+Lg5sn+v+k5Socn8fKY4maSJH/5L7Fvr1vNbZAla2tuM5g9fAyGAqCpVEAL4wAF158KF3PKKSrZ2coKM9vWZnXn5TNGHU5GuBAgBcruRr6fXvPDd70S/LMvQsnw5tz4wRSY0jarzMWomhNK77paSgFKak8sUCTwUzp7Vj9usyB6N0ojfz2XMtZj19ZldPV16e1Y2LmAYyAwOGL2GQbXUVJxZVMSUjY+Tkfp6rmlxI7/yyGF195p1QvPkhDnq9+OMiyaEF+8Bwnvuldy19eySJU3cqldeTj6FMfzmpZh0AGY7hrZuE994/AnLP+54S3nxzGn96JImbvWKlfyN299Unj95Ah2+8xPiQ5tvFj8hiPB5ZQ6CMTMT527cJNw+0Gd27dmtvq1rVC0rY6rDIRq8KHMC+hVS2EQRyrKMLC3N+smf/lv0O8tW8OtnpsnUuWb9hMOBXJcTPPEYia1dJzzb2MStWrKUX+3xopSjR7S9r76ceIphILvtNvF+QigZGjR7H3pEeuxSxH1tHddHCCUOB3J96mG5av0GfqvDgVzRKA0fO6rtb2vTz1otyJZXjCsPH9J2d3bq57/5bduPRobNgclJcxwAAKhhGnJZ1n6qGgl1dKZTGwlcwLLgiJ3r260MTLWmfXrDT7BFdJKEGr6SoJH12DIZpzWVanpy5t2T/xE50fkW53Nk2xaXbE12jBwzgvFx14a6z0qFaQ0AgBeu9GxRkxjRsz27Mv7qlqf5TE9pvKV/r3Vh0WYsi07AICZ2tmcXtghOxmlJ5fyufN89q/5x4vfvPQEhPDpXFwaX6ipgbJJn/Kn3v5LoGDoqFqY1SMUZi5M9Y6enXj70PbkyZ6W1rvBGxiGnXOmaiG4okMEcl+YuQhbR6VxZdZ8RSUzHzvbuYlyWVCRyFgYjfJHgmRcgx4pUM5KhveeeUfomml3r6z6DRM4Sb+nbw2e4SyCCGKL5t49Sk5hEMxRqmFq8Y/ioOjbTI2R4SvTJ0GCibfCQc13tIxcNg+c8ZU10DB02IvEpLsWRR3UjmegYPkqSWpQk1Si2SW5sEZ1K/8Q5QChJfWTDj5M9Y6eT3aMnrPWFbSSpxfhMTxm8LILddVMDw7qt6VJJ5hIxP7VWHZvpHvzu81vAHKfpSGBlyCAWEGJYqnJXAwBo/Hz/Xm0i2IutokssSGuADGaNSGKKk5w2MI/3NgAAQBYLrnU1j0CMWTOuBJW+iXOQZ8RL+n8sCXY4qxO/4kKrTQR7jVBsnPXYsoBJzMnn9/+DOhRoE/L8NVJJ5pJ4++Dh2eLRXcjMdqhdE2ZCjVrrC5+SyrKWWqpybkh2j51SBiZbEMeKeiA8hARWAhiz6uj0BZJQI0JOSpVzzYIH7Y2l25ShqVY9EB4GhJqMQ/Zxqe4ixmVJhQxmgUF0bSo8GDnW8VrsVPc7fKanTC7LXhY5fuGNRNvQYbkqd5V1YfHNRjA2rgxOXbHT9MO4SOLpkGEMqmlxgDHH+v3lJJkIMg57BpJEx/WYuEYHQxd63+r4LSCAjh4a2G6qRsJI6jFTMZJEJxolxCQm1alh6sQgOiWAMBJjEZySb/zo0I7AubHDc42LWcHiSC1Z78lccKeuxCYMPRkGAFDe4sq1GlmLIML7KDH/VyRK6UZiOp6YOG+3ZjVNh7t3pXoW3JefueYfFTU0EE9OdaT5alohxFxOxoosq5xWAyFiEslAh24kAqoWHTdMJWSaakxRw//5twZnDaU4CCAkdDb943/yHv9U6LPybaO0jK3WNKD+/neJn545rR+tXsAutNqw48A+defKVfyNXh+6qpHmJRgGMKYmyTgllPA8FBYsYBf1Dxg9l2oZTaWqKEIJz/PdAwAAqkoVjCC+7Q7xAbcLeXt7jAtp6Tj7xo38bbOdgwDwPBQQnLvuOnZU23ffJ6XPFxczFTvfVV9zu5Fv0SJuOc9DweVC3mXLuXXxOI397Kex71ICyEOflh+vqmLrc3Nx4bGj2j6LBVpLytjqc2f1EzNBEpgYN0d6e8wLExPm6NJl/NpPPiD9H5sdzrlusSzk7A7kohTQrk6j9ehRbe+yZfy6hx6RHystY6o1Dag8b/IZmVwuwwBmvhHgEACwb6/6zr/8IPoNhx0516zlb07PwDnt7ca5FD9Ovyjvn3OOO9r1c8/9MfGrLz5m+RbHQR5jgFes5DcsbuRWsixkx8bMYVWlak0Nt7ir02wTRVPy+nDq+CgZTs/A2aIIpePHtYMfHNP2p6XhLIQAPHJY2xsIkPENN/K3er3Yf/qUdsThQK6bbxHuzszEOdU17MLhIbP/wH5151zXZF60esgvYEoe/YLl67IMrWOj5mBfn9GVn8+U2KzIAQAAc0Ws/6nAHBYQg7hIf6jdWeKpm2oePxS8EDjlLHIvgBBAxCA2PhLtpYSa0aFwFwAAEtVUjKT+Zye7kcDKRNFiysBkCzVMHQmchcSVUPz8wAFsk9x8tq+C8zqyjXBsInyk/VXPLY2P25eU3YYE7tyVTGchgxlrbcEGe1PZbUiYNQlWhwPteiAyLOSmLOD8rnzWY81AAivPStWvINGigFLD1KimJ2PNfe/HW/r365Ohfj7bV2GtL9wUPdn19uxNQATZ60+aMmPJYOz8wH7H8oq7uHRPsXNNzacAIWaiY+goknm74Lamcz5HDuO0pLo31n9eyPSWy+XZ7yj9E81XSxWFGGHGaUm1Liqpt9bkb9CnwgOIY354edcT1U1V6Z84Z11cstW7dckTRDOSoT3NT0VPdr7Fum0ZYnHG4tiZnp3x1oEDtqXldyQ6R45DhNquJRVjXVa/VJq5NN46eMAIxT7m84VlwQFZLMTP9+8b//17X2GcVr9zdfWDya7RE5DBPGMVXWCOxFOi6AlbY+nTluq8tdQ09XjbwEHW58gW8lJrscRb9anQQLJn9CSWeJt9ecXdXKq7MPVT6/516uVD38MW8V0z9tGYeMYiOsXSzCWutbWfIrqhAgQRn++pU4am2pWe8VOUUsI65BQjEp8KH2l7mbHLPu+2pq+ow4GOa3+714YZSwYBIWb0VNcOIxSblIrSF1JCaay55z19atZPknXb0oVc/wJKKWHdtgwA/zvuhf/fYd4ED8cC7qL22T88bPZ7vCilsoqtt9mho2Eht2x4yOxvbzOaOU7lb7xJuO1zj8p/EwqSaUGArZoGNIYBTFo6zvrSY5aHb71N/KQoQfmN15J/7Ooy2r1elNJ81jzR3WW0zUyTqR/8q/3JeIxGL0/DomA27cmXxfhv2izeIcvQGgmT4NCQ2cdzkGcYwAgCFBhmfrrYiQky+uwfEr8sLrFVchzgjxxR92ZkMTk1tezi0lKmGiGAFIUmTAKI14dSH/uy5e8nxskooZRgBDEFgBKTmoNDZt/Rw9relnP6icwsnFdeydZ2XjBaR4bN/lu2Cvfcept4/+QkGWtp0T+itycEEFWhStMybnWKH6elZ6DsfXu0HckkTdhsswu034/TWRayc5FdH56aRILGR0fMQb8fpS9dxq+dmiLjhgGMS9ro+cyHplNVN4Cua1SVZWgNhsh0T4/RUVPLLgYAUJ6HArysaAkGSeDAfm1neibO+c0v4/9qGEB3uaDX40UpFZVMHccCbmjQ7OvqMtvq69mmO++SHh4dMYciERJyuZFX4KEwOUnGRkfMwZERc+D4MW2/1QJtaak4S5wlFT+yaO3bq+6oqWUXpabhrKNHtL2t5/XTZ05rx6amyHhGBs7WNKB+6XHLt1PTcGZ2DvNHXaeaLEHZl4LTioqZiq/8jaUpGKLTB/apO51O5O7tMS5ACEBpGVMtiFBiZuf6SgSPJMvQKsvQcv8D8qMzQTPw8kvJ3997n/S5RY14hSh+PFL0+AfawXd2qC/ffof44M53zdd6us2OhkX8sgUL2EU5ObggOEMCLAd5wwDGsuX8ukWLuRXhEJnBGDIQATj7HVLa2Wm07t+rvjM5Rcbr69kmCAFsa9XPIATQE1+1/lP1AnbhM08l/n1ykvynobYRjk+oYzPd2CI4Ic9KSv/EOTOhRuSK7OXB9878zrmu9mHWY8uwNBRuwlbxGTArf8FI4CSxILXee+vSh5HIWUlSi+rT0RF7U/kdjlXV97NOS6o6NtMVOdr+qtI/cU4qyVgi5qZUqcPTHXO1W1JCiJDpbdEnQn1I5Czq4FQrtkte1mvPTFwYOmbGlCDrsWWG9517BrKYd66tfTj1kQ0/CWw//mPWZX2fqHoCCazMOK2piMW844aqu2PnencDSmnKvau+CyglsbO975kJNWxrLL3Vvqz8jmu59FPNUCDL8K71dZ8mmp7Uxma6o6e6d0AIEZ/uKdFnYqOc35mProPgMcLxSTOuhIiixVzrah5BEmclCTXCOi1pgFIKEEbXSh37CAgxqG4ojNPity0q3sI6LalK/8Q5JPE2uTpvDbaKbjOSmLoSwaPPREejxzvfErK8ZZPPH/gHompxJPI2bBXdHEbMrM8QZyFEJTPvnPgFRAi7b6z/PGQZ3ghGxymlJmIZgXFZ00hSixmR+JQ2FuzWRqY7Q/ta/qAOBdptjSXbrpRyga2iGzKYBYSS6R0nfmZGEtNcqqvAvrziLkt17hp9JjaqTwT7ruWZ8zFQQOKtgwfDh1pfoLqp8pmeUqkoY5E6HGgXJd6GZgsUHlxFWqeNB3v1QGQQYsREjnW8pk9Hhp1rFnxKyPUv0KfCA0K+v5b12rMBoZT12rP4dHcR1QyFcVlTIcasMjDRYs5xsphoHTwY2nfuD+5NC7+g9E+cm3n7xM/EovRFlgV5a4WclCok8TZtPNiLeFYiih43Y0oIW0QntooePt1TAhnE6lPhwcjR9leQyFn5DE9pon3oUOxs73sAAGBdVLSFGqYaa+59nxpEdyyvuMu6qHgL67ZlBN87/RsjHL+mROujc0mJPjHRjmXZw2WkLQAQYjManTRjsesaJ9w70wYAaLuu3z0PWN3ZSySbvwxAhHUtHkiEx85bXFkLIWJ5iztrYSw4fBIAcF0RuP+TINTUZdFbMjZ55vdD4x/8zO0o3MAwgsPtKNzgc5ffymDeZhItNjXT/kYsMXleUUMDVsm/gMGCXRTcBSwruf2eyk8U5my4FUOGryi43Q0hYgg19amZ9tcBAC//T9/jnwJjtv7QJibM0R/9MPptTQXqppuFO5MJGn93h/LK4kZuJc9D0efDfowh/vAB0FyAEECWA5yiAmV4yOx/5qnEz1PTcGZtPbukpJStUlSgSDK0zDct9eI1GpgBTIoPpfX3m139/WZ3ZhbOPXFCP3T2tHbs8Ses32EwZCCau9jXNKoODhg9j3xG/uu6Bq4JIYAnJ8hoV5fRlpqGM3wpOK2/z+hqauJXSTK0sCzgXn81+Yc3XleeS0vDmfc/ID366kvJp3fvVrfn5eGi5mb9JEYAZ2QyObEoCYdCZOZSIMnlwBhg+VL0OQRg9Rp+84YbhW29PcaFkRFzMC+PKTpyRN2TkoLT77hTfJDOM3L94ngwL5cpevjT8uP5BUzJwIDRQwggCAFksyI7x4I55UyKQhWPF/+hqJip2LhJuL2hgV26Y4f68g//JfataJSEc3OZwrXr+VtYFnC6TjWMIe6albUFDhxQd3ZeMFqHBs3esTFzmBBAOB7yTU3c6oc/bX3c0KkejdLwnXdJD8fjNPbeTuX15mb9RG0dt+T5ZxO/Hhk2r2RWTgEAIJmg8f4+o7ulxThZXs7U3He//PnJSXP8lZeSv7dYoE1VqcJykAMfCjn4UxG8MH3aVeXYpfkAACAASURBVOKtt6Rb8xCLecElpcy0TZ1wl3kXWjPtRaJXTrdm2AoCrZPHEIcFS7otf7p18pgaUq7v3T8PII6VkMTbhTx/jdI33myE4uN8pqfM2lC0GcuCg8/0lAEI4eRz+/8ufLj1RcfKqnvtyyvuTnQMHUUs8+aH60EIIUSyYHeurbnTs2Xx46zPnqNPhgfi5/v3aZPhfsQxIknAcKJt8KA2FR60N5ZudayqfuCKEeeUAmqYGlH1eGjP2adIUovZlpTdxqU480K7zz4ZPz+w33Prkq8ACDHkPi5jvxaoSUwh27fbWl94E+IYceqFA9+ZTcgyNAAgEHJ8VZpvNgABW0WXdWHRZj7bWwFMqvs+seIsoJTyWd5yiBBzsaMYUNPUMx/faiKBk1mvPYv12DL06eho+HDbywCArst+vxFr6d/nWF39ANUNZeK3ux5TRwIXACEm47KmKX3jzSShRFinJVUuzVya/oWbfxv94MIbfIbnFWM6OkJNUweXCFoIEeSwwKe5C/0Prf+ytTZ/3cQf934LIvTvlxNC2CI4IMvwVDWScmXuDXJZ1tLYub492sh0J5fqKsAWwYlnrQs+1kma7Bg6Gmvp22utL9zo2brkCZLUIsm+8WZ1KNCmjc92VFnW1j5MDaITU43wmd6y1Ec2/MTRNXrC94kVHxgz0RHIII5x2zMyHt+6QMhPrcEWwUXiaohSShPtQ4cTLQN7zaQakYozGs1YcmbqhQP/ACBEaZ/Z+HN9OjysTYT6P3xNYkFanZCTUmWEYhPqUKDNjCQCRNUTVyPCIEbYf//q5WZSi1GDaEJ+ai2ECCkDEy2MXfYhjpWQRXTIlTk3MDbJOyvAnn93/l8K8yZ4NB1oqgrUnm6zfaDf7FaSNGG3I6fHi1Le2q682N1ltBUWMeXrbxS2mQY1amq4Rd//V/vv3n1HfXVgwOjxuJHvxpuE20rL2GpBAOLwsNk/NkaGZRladrytvNx5wTifTNJkdg6T73RDz+kz5rGPpSRQQAkBxGKBtsxMnDs8ZPYvqOEWWSzQZhhUFwQoiiKUGQbMS4tKCKWSBHe98Zry7H2fFD/3zW/bfnShw2hpb9Obz5zWjjmcyL16Nb9peMjogxBCngfCQL/ZzfFQ6Oo0WnftVF4fHycjCAFcWMiUbbtNuM9iQbZEnMbu/IT4UGCKTPT2GhcUlSpvvpF8fupid8V//X5gqipVPB6ccvCAtuuX/x7/vtUGbcUlTOUbryt/zMjAOWnpOOui5OiKBA+hgISCdDoSISF/Ks7o6zM6IQRI1ZBiEmDORTzMBUMHuiRB+aFH5McMkxr9fWYXL0AxGiVhVQUKzwPh8qLFNCmpqeXabr5FuCt6l/iQqgDFl4LShobMPl8KTi0sZirOtxpn7Hbo9PqQv71NP/fWm8rzaek4q76Bbfr9k4mfGjrQR0fMQUWhybR0nF1WwdRYLGjOaOJgkMxkZzM/evwJy3ce/rT05a5Os41QQKJRLZxIkPjZs/oHXi9KvWWbcM+NG/lbZ2ZIwOvD/v5eo2t01Bx6/311+8Q4GfnkA9IXOjuN863n9dMeD0rJL2BKi4qZMpYF3KUIzMshiEC0WKCtoIApHRw0+4JBMv3EVy3/VFTMlGMMmblOc8JhEiotY39ZUcHU3nGH+KkVK7j1Z88ax48d1fbt2U3fLillqhYv5lacP6efys1jinp7jAuaTjVCgLlvj7rj+HHtoKKApCgAadkKft39n5QeDUyRCZcbeZet4Ne1t87K1Qb6ze53dyivfJgINELxCaVn7LR9adkdsTM9O/VQbNxaV3Bj9Hjn9kTnyHHO78xzrq15yHvb0q/JpZlNejA2hgXOyqV7igElZvRk19vxlv599uUVn/DdvfLvLxrNletT4cFE68CB8MHWF/5f7r4zvI7jvHpmtu/tHRe9A0QjAAIkSIK9iE1dVO+WbDU7rpFL3B0nirstxyq2LEuyeiNVKJEUewUBkEQjeq+39+073w+Aji2RFOwosfOd57n4ATzYnd29987Mec97jjwZ6vPcuvZfvfds+kWsue9ty7KyIS2eCsozkSHFHx07X1FWgrGJZMfwAdPikiuZHHclVjU5cqDtufOTVbJz5CBWNYXNdpcLPeMn+LLsFen3bvqlODLTpvhjo3SGvZhymrOU6chQon1onxZN+V3Xr/iXVNfoYXHU30Wn2fKxrmsEz1ggRbAQQQKSF6/aYEUTgY51XVZF/0uHvi8MTLfyJRkNdJarLLLv7B/Y/LQa9/Ur/oWyGb2QQMTHGdcCAACWVQkrs4obcSzQBSFAWNMVviy7EXGMCei6+qe+8HkA61jHqqYYyrNXAh2r8lRogPLY8gieNskz4UGs6yplN6VD8qOpBgDMqrjM9cU9lsby7aaGkqv0lBRj89NqCJ4xK4H4OGEzprE57orIwfY/YlWXDVU56yBF0OKIryOy78zvAUKkbV31XeE9p3+XODu4lzBxdmki1ItFOcnkeirZHHclVnX5YjVexLMWSCASA4B1SREtKytuMlbnbwA61rGmq6SZd2rRpP+v9Q7AGGNp1N+hBGJjjs31D7D5nmppMtinhBMzrKarhIG1QpK8pDeClpLi7htXneDyvYts62vuIsy8m8tPq060D+8HEMDo0XOvGitz17BZrjI2x1OZ862b34EEIhFDGbCqycF3Tj0KIXzkw4oJTZAStNf+BJPpKLUsL99urCm8TBrzdyn+6Gh47+nf6YKcYDKdC4yLCjcL/ZMtAGOdcllzpIlAjzg8c1ZLCCFxYKpVCSUmZ0lIgiEMrNVUV7TVWFe0VZ4K9yOKZOxb6x+SJ4O9ibbh/XpSigr9k82xY92v/TX3EQAAsKappMV8lM7KXARTYoQwGz1ib/8+NRT+h0hp4q3eKpq35QRGTz8fme7ZjXVNlpLhYVdu3e0IkSxEl37O/0hgaFN6uqv2LkUVQgRBm0LR/j0cay9AkGCSgr+LJGgTQiSranJcVYUIzzpLBDE8lBKDfTZLwToTn7ZQlKKjEEBEEoxJkmITNG3yqqoQBgBjA+8uB//HCR5NxaqiAoUgANHYyKyvq6dWHDsqfyDLQLr8Cu7GFavojTwPDW438l6oAPRhIAIgoxGZJQmLigLk/AKi9O5PGf4pGtMjrS3ycbcbebOyiDxmvmbCYDbIQ5ax/NorwtPBIPZfex17uyBiYd8H0tsLFpBVNA0YiAC6WClXUYDy8kvC779bQdVu2sRe873vxj5/7Ij8QW4uUWS3Q1dHu9LS1amcOXZU3udJQxkEQZMHD0jvbbyMubKgiFzQ1qY0yzKWrrmWvePAPvmd9HQi69P3Gb7yykvCU4ODWq+iAJmmL1zUgxBAgpxd9zM0ZKYmtbG2s8opkgRU21nl1NSUPp6XRxQ1NjIbAJhd98/nnmAAgIGHBkXF8r4PpHf27hHfMpmRpaqKqhNSOEVRgDZbkBUAMHah/w/4NV9WNvE9koLUhg3MFcXFZPnosDaQl08UFxaSpb4ZfbK9TWwWBD1ltSJ7dg6RH4vpEQIBYt0G9nICAWLHm8LzGAO89XL2+s2b2WsYBrKdncrp0VFt8N13xFc6O5Uzublk0T2f5r9w+JC0+62d4ovyRdTaLAt5RACit1ft/GCvtPPyK9ibqmupJSdPyocO7pd22R3I5fYQ3ukpbdxohPP26ZsPooOhzpH3+/+IMdaFoDAtRcWAJqkSbWQeK7mp8ovuRZbVuqxJ1gJ7RcqctEcHwx0TR0ffUVKfvIJnzu+OEoemz4jDvjbaay9UI0lf4vTAbr4kc4muqFL0YPtz0nigm053FOuilKC9tkLPzau/S/CMifHaD6mxlB9ASPBl2eW29dV3mxYXX0EYZwMBIgfbn1dC8Ukmw1kiDk61Js4O7lWjKT+iSMbcUHo1wBj/ySz5o8BAwxppNXjS7r7sp1hVZXHE1y77IsNsgXcR6TRnAggRJBCBGPJv8i2TxgPn5MlQH1+SuTTR2r8LEATN5rgrKIc5gzCwNsptzWVzPVWJ1v73pp/54KtcflqNY+vih/jy7FXiiK9N8UWG6UznAogQKfsiQ2o06ZMngr3SVKhPiwtB66qKWwyVeWsJI2v7yMXpuk45TEcSLf27uOLMJaTNkAYRJC2rKm8heMYcfLf517TXXsBkucqS58aOAgCAfdvihywrK25KdowcVMOJKaxpCtCwhjjKSGc4S5h0e5Euq6IuyilzQ+k1kX1n/wA+9N5FBtYKSYI21uRvJMycI3Kw/Y+6IMXNjWXbaY81XxeVBGFgbeACnj9qNOkPvdfyGJuXthAiRMw8+8E3hIGpZsppzuJKMhvM9cVXkEbWlmjufRuQBG1cmL8B0iTLl2YuZQu8tYihOAAB0lNSTAnExnRBTkAESWkq1B9v6tmZ7Bw5xBV4a41F6fXJc2NHhZ7xE6TV6LFvXnQ/V+itC+1ufVKLpv5ClWRuKLnKvqnuPgAh0qJJX7J9eH/i7OBeJt3RrvijIxcqStMeax5XktmQaOnfFdxx/GcYA51ymDLYLFcZk+ksRTxj0WJCMNU1egRxtNG4MG+dGo5PgXkqHv+3MG+CJxrRw6KAUwAAsLyRXl+6gKwKBPSZU03yEZeL8CysphZv3cZuTyZx4rvfif9TTi5RuH49c/m9n+a/xPHQgDHAsgyk0VFt8MQxaf/pVuXEwIDaPTGujXA8NKxYyWx86HPGim9+27QYAggPHZDf+zDBAyGANA3otjal+Q+/T/5qw0b2yulpbaKrU3mH4yBvtSK7wQBN5DwVKwAAkErhVEYm8Wh2DpG3vJFeLwh6amBA7V6wgKpatZrepGlA8/n06VRSj1tt0DE2pg23tSmn3G7ktduRa3pKn9i6jd1+y638fW438o6NaUMT49rI88+lHm9vV5s3bWaubWlWju3cIT7/4evRdKxLEhZTST2xZ7e4MyMT5RQVk2WIgIQ3nchyOJE7PQNlf1zsPAQAsizgU3NVruoaeknVQrIe4NlIT4sVfuTL40LQNKCpClC6zyltAwNqd1YWmdfcLB/taFNaq6upxQQBiAstWrrPKWdPHpcPfuZ+w8M73hT/+MRvkj/KySUKN29mrzl0UH5/oF/tFgWc8qZrWUePyHura6mGjEwi5+QJ5VBJCVnR26N28gZovPFm7p79+6RdY6PaUHkFqpkzdP4IRkbUwQVl1CPf+KbpJxs2Mlf8+tHkD2dNDSGKx/QoAAAMDWm9U5PamM2GHLKsyC+9IPx2YkIbZVnIXn8jd3cqhRMTE9poQQFZunkre60sYYmmIUvTkKGoCxvncRzkOR4aBgbU7nhMj65dx2w916WePXtGaLrhJv5T/EXkur09asevfpH8wb982/QTswXZJifU0VBID6xdx2wtLSUrAwHdJwg41derdAIIweFD8u5kQo9brMhG05CxWqHjltv4z2zaxF6TSuGk0aiZ29uUluf/KD8hpHDy3k8bvvTCH1NPnDv3ly2AWlKM2dZVHzRW569HLG1ybKq7D2OAk23D+/SkFIm39L2LDKxFGvOfo9MdReaG0qsJA2uVp0L9ofeaH6Pc1pxU9/jxmT/sfZjOdC6wLC29BktqChKIZAu9dZTdmM5ku8oBggSVZsuzrii/kclylWkpKZpo7nt3+tl9XwcA+AAAYFY5lPuisabgMsRQfPD9lseNNQWbIIlIJRif4PK9tUowPpnsGjuKVV3RZUWg3NZcJt1RzBVlLJanQv2RfWf/IPRPtXBF6fW2zXX3hd9veSK0u/VJXZCTiKE4Q1XeWjbXUyX0TZ5iMpzFiKWNFzPb1WVVwrquKoHomC4qSdv66rsgRbB6Uoqw+Z5qY03BxtnYT0v2XPXlYwkexNIGAAFSpsNDSig+YV278A6uML1OngkPShOBbiZjdmL4uOP8CXiWCpHHA93Ro10vk3ZTBpefVpPqHj8eO9nzZtod6x8BAMBL+fqk+iab5OnwoPeey36e6ho9HN575veprtEjlhUVN3KF3jqAMabdllzFHx2VJoM9uqykQu+e+k+uNHOpdUXFjcLAdKs46u80VOWtFfonmwmWMhobSq+WZyJDsZPdb/Jl2Y0XMzBEFMEAOCvLhwQitIQYFnonmnRJSapHu15VArFRXVWl9E9v+TViaSOYZ7UYEoiENMlx+Wk1iKOMyc6RQxAhgkl3FEGCoM5XoD7uOLHj516zrCi/0bqu+m6hb6LJ/+qRf0v1TTQRHGOyb6l70FCVt1aaCPboghTnS7IadFWVFX90lDTzTkNFzqrQO6ceBRfYYMpToUEuz/OttLs2/phfkLUscTo2Fj3c8SJhMbjN9UVbSaclWxyYbpVnwkOIoTiMAdZTUgRgrBNGzmbfUv9AonVgd/z0wPtcrqfKvrnufmN1/sbZBY8Uk8aD3dFXjvxQmgh0W1dW3Ex5rLm+Fw58R54JX9QH61JQo7FpRFF7kdHoBpqmaImE738mVe2vhyol/chKLKRZUxpJcVaMNZU1OosAxgARJAshIhFB0hhjHevavAzM/27AWBfl2Fg8OdEiK6kAxlj3BTtfS3fX3p1IzXQwtMlLIIrXdCWFIEELUmiQY6150djoUZo2eVOiu4IkGHNC8HWKUmSEJBgLQgQ9S/KIYYqcv9rwHxUYAwwwxm436V20iFr2/i7ptfZ2pcVghCaWBdxAv9btdhNeqw05GObjCR4CAcJogmZNA2pOLlF416cMnxsf10ZaW+XjjSuYdZ40IgMhgOx25JzvGBEBCAghXFRPL0/zoPRYDEePHJR35+YRRVdcxd38Z63sF/xexBhjgoCnf/C9+Bcf/Kzh6/d82vAlkxFaTpyQD3z/O/HPp1I46fPpU0sa6FWfvp/7SiSsB+9/0Pi17Bwiv+mEfMhmg87ySqr2madTj7pcKK26hl7icqE0hxN5rrmOuSMjg8gxmy7cogVml9GQ4yB/6+38AzYbcvA8NB47Ku3jOMgLAk4RBCQ0FSgYAywI+IJtNh85KJgNr4jMtbpbrMg+Ma6NdHYop0kSkMsamfXnVekXw9ioNuxyEV86eUI+eNkm5urP/pPhmzM+fXLfXvGd7nNaW1ExUbZ0GbOGYQAbDuPg+vXs5VYbdPT2qB3798nvZueQ+UuX0ms2bWGuGRnWBv74XOqxQwfk9wMBbcZqRfZNW9hrN2xkrjxxXD7w3DOp31wqbt1igTaSBKTPp03ZbMhJM5B583XxuYF+tfu667k7Gxro1SQJKIqCtN2GnGCePn3zwRxRs+/Dv5cTUpQy0D/2n50+zDn5dCki+mMjke7UdGJUn0cB6m+BlhSjWNUUJRAb12VFVCOJGWN1wQbaaysUR3ztqUPtzxMm3uW8cukXTfVF2wgT71CmwwNUmq0g7VMbfyaN+juVYHwSEohgcz1VtMeWjzHGWNVkLSGGEENxiCSoyIGzz4iD06dns4AhQdqN6XxJZoM8ExnU4sJFE3EBmPXiSfWMHxe6x06wuZ5K65qq27CiSuEPzvye4BgzRIhEHGP6W64fa7ru2FLfZd9cdz+kSRboWIcUyQgDky3IwFiYDEcJYWCskKF4y5KSqwiLwaWGE9ORA23PpbrHjhkW5q1jMp0Lpp/Z+7ASiI2TVoM71TtxkjTxDibTUaoEYmO6pCSxji84dynB+CRfmvXjzM9d8ZT3U5f9XJeUpOKLjiADY7FtqLlHGvG1R490vZxoH9pnWlS4mc1xVxBm3smXZDRQTksWYeFdQNdVJZSYSrT2vxfc1fwbadjXbm4s225ZVnYdk+EsAQD8RWfJXJGUQRTJ6pIiMFmucsvSBVfrsipqCTGEWMpAGLkL7imxjnVEk/vCe07/1rFt8ecsqypvMtUVbaG99kKIECH7wsOp7vGjlMOUweS4q+LNfe9QdpOXtJvSkx3DBxBJMgABFG/t3yX0T7eSFt5NmnmnNB44RzpMGbb1NXdjVVPkmciQsSpvHV+auVQa9XciI2dTArGx2PFzr304tALRJIs42oQokiFNnJ3JdJZa11TdJo74O4W+iVOWxvLD4tD0aTWcmAEQQsplybKurroOcbQxcqDtOcQxJsvysu18Rc4qNZyY0uJCCLG0gc1xVxAGzkZaDR7E0Sahb7JpvqEU/1uYN8EjCDiJECBWraY3QQhgT7fSfvSovM9sRpbyClRTWEQuePVl4elTTcrhUEgPsCzgmk7IB9dvYK5oWMqs7u9Xuz/YI+0cGFB7dA1oJAWo6hpqyR13Gj5rMkNLMKj7jUZoqqykFr34fOrJU03ykQ+PYdaEF1k6O5QzBYVkqceD0icmtJGSUqqysopcRDOAsViQlfkrne2nJvWx730n9oWbbuY/vXI1fdlDnzV+Y3BQ7f39U6lfKjKWKiqpRcUlZAVCAG3cxFy1fgNz+ZEj8l6EIHH1tdxtyxvpdfE4jv72yeRP9++T3olGcNjpQp4rrmRvZhjI/vynie/4Zj7q1I91oCsqkI0mZH7gIePXYlE90nZGaQqH9eCqNfQmgoCEx0Okk+SlnxOEAJosyKJpQF2/kb3y6mu4WyMRPWgyQYvNhhxeL5GJEET6x26gMBBELPT0qB01tVQDx0HD2DgafuAh41d5HhovtmgRBCzY7Og3kgTExpX0xhtv5u5tOqkc+vd/i3/V79OnGQYwX/+m+cc0DZjb7+AfomlA+3z6VHExWb5zh/CCz6dPLVtOr0vPIHIqKqnaunq6UVWBQlIXV2L19qgdP/6PxDe+9BXj99espbc88Vjqx2YztNbUUg0f7JXeFmd9kEpPHJcPjI6og6qG1awsIrdxBb2+vJyqnZzUxiYntdH6errxyCFpr8WKbFnZRL7FAm12x4UXe3MKMS4Y0GdoBjIvvyg8NTGpjS5poFdRFKAZ5sLvO03DOkXB3d/4Kr7vltu4+y/bzF5NIEgeOiS9v+td8VWHA7mra6gldgfhJilAPvCQ4Wtjo9rg4UPyng0b2Ssv28RcnZdPFnd2KK0v/FF48lyXchYDgEtLycrt13N37t0rvfXWTvGlC6VsJM4OfWDfXHe/dVXFTfJ0ZDDw6pF/n61EIIpyWrKCb538hTTm74I0xRkWZC13Xrv8q0owNm6ozFsTPdr1SrJ9eD/lMGW4tjd+gyvKqI8caHvOUJW/jrIY3Vn/fN1LWlKKSBPBHi0hhuXp0EDy3NhRrjC9ns50LiB42gzmCB4AABB6xo7FT/W9bVlVect5JZAyExnSElIkdqLnTcRRRvPi4iu0hBhOtg3vozzWXMppzhKHZs7GTnS/QdqMaY4t9Q+x+d6a4NsnfxXec/opoOoKV5i+yHv3xk8x2a6K0O7WJ9RgfMKybMG1pHk21QoA8BEvJqxpyvmEI+fVS7+iBOMT8ea+d7RYKsCXZS0nrQYPgACSdlM6JBAFAPjYeHPEUkaIEEGYOJt9c919bIG3VhrxdZBWg4fx2PIhSdCkmZ/3RgKA2Q+bHElOMxnOUkNV7ho1nJzRZVVwXbv8q2xBWs2s6eHF+37VSMLHZrt+gBiKpzy2fMSzZgAhFAanW6eeeO9zSiA2pvgiw0y2u8Kxrf6z0qi/w3XDym9SDnNmvKV/F8BYt6ysuDF6sP0FPSlF7Jvr7mdzPQsDO078xLqq8lbKbkpHLH1hHwI0a11KGFiruaH0akN5zko1kpxJnO5/X0tKEcptyTHVFm6mXJYsLMkprOnziqOHCBKIofhk+/ABLS4EmWxXBSQQGdl/9hnCyNmRgbUh6sKqpj+HPB0ejB7pesl17fKvqpHkjDwTGbIsL9/OF2cskf3RsanH3n1ACcTHHVc2fEEJxSfjLX27IILI0lh+/Xmjb3CRDaY44muffHzXQ7YN1XcbKnLXGCpz16qh2ESsqXenfKTrFcLMOw1VeWtojzUf6Fhjs5wLzEtLr9VFJRlv6t2pi3LcecWSz9vW19yFONqcaBvaG3qv+TF5LNitiXKSdluynVct/RKb4670v3L4h8m24X3zUZldDLqiSOAi1fW/JzDGuqaIUYMts87kylsBIaKS4YkWMRHoM7sKVjmyFl4PEUHKqcgYuIQP2D8CdKyK8eTkaQgICgIIWdqcmRKDfaFo/24j7y6X5NgEQdAmSY5N0pTBBQEiRDk6TpKcTRTDQ5HYyGGbJW+NiU9bqGlKCiGS1TQlhSDBKKoQ4lh74aXS4/4vgKRmN82hkB544XnhycEBtaewmCyzmKG1r0/tcjqRW9eolTwPjZdaH5wHQhCZjNAMAYDDw1r/1x+OfiY7h8xfVEctb21RTpw8IR966HPGf/Gmo6z5jpHnIE+SgGQZyP7iZ8nvNTfLR9PSiIwNG5krP9grvr1uHbMNwkvn9mga1hGCTd/8RuzBNWuZLQ1L6dVLl9Frzp5RmlpblOOCgFM5OURBNKKHAwHdR1GQfvNN4Y/Ll9PrRvu1cy+/JDyVTOI4hABOT2njJ0/IB7ddzl6vKFhua1OaB/rVc5e6BpoGzIIF5MKxMW3o0EH5/eZm+ehAv9odi+KwogCFpgFTW0cti8fwvNsfs7KI/H/6vPFbsZgeOXtGaeJ5aMjNpQqzsol8hAA87+N5Kfj9mo8k4e8/2Cu9VVJCVq5bz2xbVEcv3bqN2M7xkO/qVM6azMhaWkpUjo5qgy+/JD11/Ji8n6YhXVNLLUUIoEf+Lf61E8flA8kEjmdkENk33Mzds2gRtSwU0v2/fSL5k6aTyqFkUr8kceV0IQ9NQyYSxqFjR+V9vb1qZ0UFVXvDjfynqmuphmeeTj1aVEJWVNdQi11udFGvv08aakpJRPqCZ1RBSVBG2kobaavMUyHwP9SmqkaSMxBCSFoMLvPiksv5suxGcWSmPbyn9bek3ZRuXlxyJWQonslylsm+yPDMs/u+rkaSM6b64suNiwo3Uw5TJlvgrYUkwWBJSUqTwT5xxNeeOD3wfqpn/IQWTfoxxhphYK2Gqry1XIG3jk63FzGZzlLaY83zvXLkB2okYnPGRAAAIABJREFUceF0KAgRZEhe8cdGY8fOvWasLdhkWlx8hTg0fSZ27NyrkCJZNtdTCUlEEgbmbya/Y009O/iy7Ebbuuo7w3vP/D7wxrEf6aKccF697MtY1eRU30STNOJrF0d87ZZlC66L9k+2yP7IiGPb4s8SJt4ZO9mzg053FHEF3kWxEz1vGipyV9vWVN3uf+XID6XxYDfWdBWS6KKiBKFvosn/xrEfpd2x/hGsaJI0Eexhc92VyTMDu1N9k02kxeABGOtMhrNEDcUnQntOP6UnxHDanet/JE+GemMne3ZGj3a+DBEibBtqPoVlVRR6J05ali64li301oEPETzIwFoggDDe3Pe27IsMcwXe2nhz37uRA23PWhrLb7CsrLjpfELvhaDLqkjZjE+QNqPXuqbqNjWUmPK/cvhfpVF/J2Fi7aZFRVsplyUHzyqBLGosFVBC8SnCwNrip3rfUiNJH2HmHUDTVaFv4iTlsmRblpdfb11TdbuWFCNqLOWnnOZMcXD6dLylfxflsuSQRtYW3tP6W6F38oKhKgDMtryp0aRfF+U4aTel02nWPMppyjAuKtwEMMZA0xWMZ32nCCNnm937mDM8t637Ie21F+qSnEI0yWo8Y5EmQ33BU02/QgzFez+z+VE1mvIn2ob+W2uw/wnMm+AhCEAQBEA+nz710oup3yXiONq4gt5QtZCqTyZxvK9H7cIY4FRKT1qs0L7xMvaqBWXkwplpfeL73419UVGAbLVCe0YGkW2xQPuCcmqhxQJtbWeVU8eOSfvy8sjiez9j+NL+/dKuZ/4g/PpC0kmjEZp5AzRFIjj4/HOpx48dlfdt2cpuX7OW2trSLB81W5CtuIQsn0+0+J9jzgh6HCH47ReeR08sXUavaWigV939KcPnPWkoPRjU/ZGwHnQ6kTsY1P1Hj8gfnOtSz7rcKC0c1gPPPZP6zYH90rvjY9pwTS3dcN319F1ZWUTu8WPygddeFf4QCuoX7I2FEECSgKSqYvXQAen9d94SX87IInIcduQ6cVw+UFxMVphM0IouYk73X88GkhYzsmIMcCio+59/LvW424PSzWZo0TSsmUzQYpk13bskE05SkDKboWXpMnrN3j3SW+1tSnN6OpFVUECWBgO6D16ixzAc0oMEAX964ID0Xl091XjNdeztCEGi7axyampSG5urhDjOnJZPvrdLeq1qIVW/d4+4MxrFYZ6DBp6HhkhED914E3/P6dPyycMH5d3JJL5odW6OzGiqWkh9/YtfNn3/tjv4B19/VXjm/a/E7hFFLC6qo5ad6xLPDvSr3XX19PI0AhDJJE50dqpnBgfVXkkC4lXXcLc2nZQPNTfJR1avZbY0n1KOZmURuR4PyqBpSMnyX/oeMQzkjEZoLikhK0NB3b9+I3NFMKD7QiE9kEriBEWCi35Jz7VOHaAoeKSsnKpZtpxeu6SBXrVlK7vdYIDG4SGtHxEAWS3Q1tGhnj5xTN4fCumB/EKypLVVOf7aK8If9n0gvU0zkF25kt7YsIxeretAf/Vl4ekjh+W9F/MiUALRcff2xh1cgbc20T60P9bUswMiRDivqP88X5q9HDIUJ08G+0gL77KsqryFy0+r1uJC0P/K4X8V+qdaKKc5033Dym/x5bmrAMDYUJ6zinKaMxVd1wgDa/W/dPj7bJ6nmi/JaEi2D+0L7Wp+LPsbN76JFU3Wpb9Me9EVTeHyvU8ZFxVuJgysNd7U+1b0SOfL8nR4wLq66lbr2qo75JnIkHC8+3Wg6xpfnr0i2TFyKHak6yVjXdFWx5a6ByinJUsJxafkqVAf5bJkmZcuuMbSWHaDFhMCsWPnXiWtRo9ledl2wsjZSZshDTEUDy5A8EBiLhZakpPBt07+InFmcDeT7S6nvbbCVO/ESQAgcF619MuEgbWCeRgjQwSh++Y1RkAgEpAEnewYPhA72f0maTel88UZS5IdIwcNFTmrSKtx/ovBuTYzw4KsRnHY1xbYceLnwsBUM8ExZr44Y7Hii4ycJ2wudRhx1N9FOc0PWldX3WbfWHOvqSZ/Y6yp963E6YH31VgqSFp4p21j7b2k1eiGNFU/q7YRQtYV5Tcku0aP+F858q9aUozwpZlLlWB8HOtYNS9bcC0kCVr2R0Y/Lv2KK0yv5wrT67VYKiAMTLWw+Wk18mSoT5oOD/hePvyDDLc1lzCyNqxq804fIK3GNEtj+Q2QIuhk5+ghNZbykybOqcuKQJl5J5hHIpcuKQLjtT9nKM9eaaor2soVeGujRzpfnn7mg6+Jg9OnkZG1uW9Y9S3EkHxg54mf0Wm2Aq4wswFAiAC89BZuLs2iFwDwVSbDUWxaVLTZWFNwmeu6xq9hTVcRTbLSWOCclhQjlNOcNddTfzp2tOtVccTXTtqMXsplzU71TjQlzgzuiTf17NRSUowvSq+3Ly653FCVu04aD3ZP/2Hvw+LgzJl/FMXNJw3eklYpxHzdqpwKExRrgoigVFmIqFLSb3YXriFI2gAA1lmjI//vPdaPg66rEtY12WbN24ggQXGsNS8pBHtVTYyaDem1iipEVE2KGDn3AoRIliJ5Zzw5dYahzekIIZqlrdkkyVpd9tIrHdbiLYqa9MlqKsDRlmyaMroTqZn2/8vkDkIQLmukvU4n8hhNyHz7nfyDooiFRALHWRZyNA2YZBLHMQCA56GBmkcrPoQAUTRkWBZwDgdyLayhluTlEUVv7RBfbGmWj65dx2wjCEDm5JAF8x2nzY5cPp8+9cufJ76fSOD4dddzdy5bxqzd8abw/KED0nt1dfRyCMHHRq/PFdzGAACPUxT83YqV9MbPfd74rXs+Y/jSmVblxMiINtjaqhwvLSErdu4QX9j5pvDCe++Ir0EEYDKB424PkZ6dTeRffS13K0lCuqiYLBscUHt++uPEN0+dUj5SIJ0DngXAsRiO9Per5zQNaDU19JKaGnoJAAAwLOCWNzLrdB3ol/Co+QgyMons7nPqWYKARF093QghgAQBCIqCFIQAscz81uWqijUwmwA2gxD8ID0DZa9azWxat565fPESegXPQ+PoqDZ48oR80O/XpzdtZq8pK6eqjx2VPtjxpvC82014r76Gu7WklKwoKiLLurvV9ldfFp7et096JxLWL7kGPg+Ph0hnaMgkEnq0opKqvfse/gt19fRyjoN8KoWTwZAeME/r4xQFGy1W5JjvPZovCIqgGTvnhgQkRX9qUlNm50Y+zZhd9Zm6H3BO3osxwLqiydHBcIchzfhocjrxiRP0WJQTAEJkXVN1hzwdHog19b6Vah/eryaEMJvjNhFG1ka5rDnxlv5d8VO9b2spKQYAABCh3nhz79v2rYs/a1pUuEUa9XXEWwZ2JTtGDkqTgR7E0AY2111lrMpby+an1dAea56WEELiiL8TaFhhMpylifaRA9GD7S9cLHIdMRSPGIpTQ4kpgmfMlNOcFTt+7rVU7+Qp64qKG0xLSq6EJKKxrAqkmf+bn5ESiE3QabZvYElJmeqKtmhJMRw92P588O2mX4U/OPN7xR8dBwDo7utXfpPJdVcijjbZN9ffjxVFiJ/qe4cvzlgsjgXOhXad+k/DgqzlhuqCDZChDWyOq8K6ruYuympII3j2ooQJ1nQNcfRLs4ljy75sXVt1uzwe6AEAQKF/shUSiOAXZC1jC7yLdEWVuFxPlS4pqUT78L7Qe82PCb0TJwkz77SuqLgx2TFyMNk+vN+8fMF1iKUMbI67EpIEidVZ9SuEELpvXm0GEELSYcrQUlI88PqxR5RgbIIrzljCFWcshggRiKYu2fKmhBMzpM34XS2WClhWVtzsunb5V2fTP5WEOOLrSLQf2gcAAEyGo8RQkbMKUiSrzESGbeuq7yLtpnRpzN+JFVUyVudvsKwsv9FQnrNKnokMpbrHjs2qtSZOaIlU0Lx0wbWOy5d8PnFmcHdo9+nfXixyXZeUZPxU79ux491vUC5LNp1my092DB8Amq4inrXSabY8U33x5Xxhet35dR3ltuSY6ou2icMzbZH9bc+Ko74ONRSfVGMpvy7KKdJqcKXdvu7fEcsYI3tPPyXNM+DifxPzJng0DWg6BljTgOZyEWm33sbcb7Mjp8WMrJ40lOFyo7Q3XxefE0QsXH01d0sqhZN9fWpXe5vSEgrqPt4AjSYzYa2vpxoDAX3m7Z3CS4GAPsPz0HjV1dwtjSuYDU0n5cO/fSL5k2BQuyAh4nIjL01BWhSxcP2N/N3XXMvd4XAgl6Zhtbtb7cjMJLJrF1ENFH3xjfalcJ7oAQA8azKhHTm5RMG69czla9YyW7KzifxYDEfazqqnZBlL11zH3aaqWGs7ozRxPORvuZW/z+lCHoQg0dIsH3vhj8ITg4NqjyxduMcXAABYDvKZmUQuSUKyvp5uzMoi8iCCkOegYWxMHZIkIBiM0EhcpFXpPCACECFAmM3QmkrhRE0ttaSnR+08fEjZzbKQa1hKr3Z7iHRwCYIHIQhvvZ2zRiI49OTjyR/HYji6Zi2zxe1B3j27xR0OJ+e+uOh4FnOkSwdCsHPvbmnHqjXM5lWr6U1WK2NHCCCWhVx7m95Su4haWlRMlhcUGEt1jHW3m0jLyyOKQyE9cPSotO/N14RnOzvVMx9jLA0AAKCjXW399x/GH77tdv6BBz9r+FpPt9rRfEo+Mjmpj4VCur90AVm1ajW96a2d4ovDw1o/RQGapiF9w43cPZWV5KLWFvn43fcYvlBZRS6amtTHZheDkCMIQII/8z1CCMJNWxgLw0AOIQDXrme2yRKWTrcqJ9K8KNNsQbb5JE4oClYBAKdIEra+/prwbHk5VbPtcub6hdX0YrcHedvOKKd6zqntWTlE/uat7HW9PWqn36dN5ReQxfVL6EccDuQOhXT/+7ukN06ckA8G/PrMxymzIoc7X+RKs5aZ64q3kRaDGzG0wVCRvRJxjDlxuv99ymnOdF7b+FVDefaK0LvNv4kc7nhRT0kR65qq26xrqm4neMY888zeh9VgfNJ2We29kCQoNZr0aSkxypdnrzDWFGyKHu58MXq48yXSZkwjzbxLngz2Yln7iOpFGvN3BV47+ohj2+LPprrHjoqD063GmoLLjNX5GwJvHP+RNOLrIKwGj2VZ2bWJ5v5d0nR4wLKy4ibaay8S+qeaA28c/7HrxpXf9t67+ZdYVlKIpU3x1v5daig+RXvtheLQ9Jnwey2Ps7mehaTV6JkjeD4Sm0iaeSekSBYrqshku8vZAm+tLshxxDEmym5Mp732QgAhIjjafCli8zwggSjEkDyAEGlxIaQGYxPmhtKrtIQQDuw4+TPCyFi50syllNOcNV9PH0QRDOIZc/R49+vBt07+HKuaYqot3MTkuquC75z6taEsq9GyqvIWcJG0lj+HEohNIIr8Wexo1yt0ur3Itrb6TseWugfT7txwki/NOppo6XsHspTRVFN4WeRwxwup7vETTLarTBycPgMAwIiljUogNm5eUnKVlpJjpkWFm6WJYG/o7aZfiSO+jgueFM92JGNNU5IdIwdS58aOqZHEtBYXQro8m2LGl2YuJS28S42l/Logz9tDwFRXuJkvzWxQQ/EpQ3nOSkgRNKRIjk6zF0AI4Hwj1+WZ8OD0U7u/5L5p1be5Au8ivix7BVfoXQQAAJChDFjRJHkmMkjZTenJtqF9ykxkyLW98etY1WSszC+WVpoI9kICDUSPdL7MZLvKLcvLthsqclZRTnMWm+upUmNJf+CNYz9K9YwfhxBC05LSqyibMS1+emD3bOw5Bqb64m2m2sLNlMeap0aTM4HXjz2SbB8+qMZSn7ix5j8SojO9u3mLt5KkeTuEiIAEyTA8Y6IYo1tKhUcBgFDXFFEWYpN/77F+HFRNjgcjfe+lxGAfQ5szCII2qKoYEeXo+ARufgJBgiFJ1kwSrIUkGDNJsjYECSqenGzFWNd0PLRP0+SkpskJRRPCuq5KAJyfczCW5YtUuv+PgCAAkZFBZBuN0MRxkK+rpxtFEacoCjAIARSN4FAsrkcpClJYB/p8wql1HWiJuB41mZH13x4xP+FyE2nRqB4pLCQXSBIWnS7CwzCQ8XpR5nzHyfOQt9uh8wtfMn7XZIIWh5Nw6TrWb7yJu+fa67g7CgqJ0qNHtA80/dIG0H8ORcEqScLdgwPRnlVrmM3r1jPbSsvIhSwDWVUDmqwAZfESamV6OpFltSJ7KoWTug50bzrK4ljIB4O675mnk4++8Zr47NiYNnyh6O/Z8wDZ79enNQ2oFiu0NyylV0siFmUFyKqKFVkGkqZiNRzSg+e6lLaeHuXC3+0fAgYAQwDg0KDae+qUctTuQE5vGsosKSUrTWZo1XWgXyy84lKYu44RhOCTe96XduTmEYXLG5n1y5bTa7dsY7dzHOQtFmjXdaBbrdBx5dXcLQwD2Xhcjx09LO958vHkT/r7tXOhoO6/2D25ENwe5KUZwHg8RMY11xK3AwDw73+X/MXwsNY/NqoOjo5og/c/aHwYQYDov3G/cTEY0oxZS7+35qeIJlk1Kcfan2z5FgBgAJEEtfDBxZ8zZpjzRz8YfCU+Fu11VaUthwQkK+5Z9F3Wxj0shgX/JzkWMGcOLI35O4PvnPq1FheChJl32C9btN15RcNiaTzQHW/pe1dLSlGsahIkCYp2W3OdVy29iivOWCJPhfonf/POffJMZFiX5ATttGZblpVthyRB6ZKSotNsBWo4MR3ee/opNZSY5MuzV5iXll4tjQW6/K8e/qESik9ddGhWgxuSBKPGhZAwMNUqjvo6mUznAvOS0qv4ipzVsWNdr6mRpM++adGnSasx7b9zG+Tp8BBp5h82VOauNtUXX+G+dc0PpFF/Z+LM4F4tKUYhgojN81TL48EewsK74829bwNd19g8z8LooY7nY6d634YAQjkQG6Omw0NAD/bZNtXdp/giw7qsCEogNn6p8+uCnCQ45lElEB1zXrn0C5TTnEWYODvtteeTFoNAOcyZ4b2nfydPBPts66rvZNNsBROPvnWPEoxPUG5rrmlR0RbZHx2dUzyXI4bmAUIEokkW0SQH5nx4IElQiKNNkCF52m3N06KpgPOaZQ8DAIDQN3lK6J9qIa3GNDgPhbQaTswgln4kduzcq1xJRoOxpmATnW4vIsycky/NXEZ5rLlA0xU1kvQTJtpgbizfrsVTweSZwb2Js0N7AYCAyXFVkBaDO7K/7ZnQ7tYnxRFfO2JpI5vrqbI0lt1Au6254b1nfhc90vnyhUIvzkOLpYLyeLCHK/DWKv7YWGR/27NYUlKkw5RB2iiONHNOgqNNSig2IQ772hNnBnYL/VMtWkII6aKSBBBAgmfMbH5aDe21F2Y8sLUw++Hry9hcd1Wqa+Rw8O2mX2kp6RPz4fqkMG+CRxRwSlOBWlNDLbnpFu7T57rUszQDmbo6cpnbg9IZBrI1tVTDlq3s9kRCjzU3K0eDAd03Ma4Nu9zIu249u81qhfZTTcrh8XFt2OMh0jdcxl7Z2MhskCQsPPN08tH335PeuJR00uFALooCdFk5We2b0afee1d8ratLOTM2qg36fPr0579o/A5JAupi8ZR/DeJxPQYAOE2SsP2FPwpPNCyjVy9eTK/MyyeKG1fSG+x25GJZyC5bTq/1zeiT7e1Ky3vvSq8dOSztnU2w+vjJnWUh5/GiDIoCdONKegPGAOM5I+mpKXLM6SQ8w0Nq38cRB6qClUBAn1m8hF5pNiNLKoWTZWXkwtpaqqGmllpK0ZAyGuEle1AhBAhjoJMEIO++1/AF9xyZhghALGmgV3Mc5A4dkN+bT6rC3EQ6RRDw6Z1vCs97PER6dg6R73ShNLeb8Nps0BEOzaqaJAmLE+PayI43tRe6OpXTQ4Na33yInQ+dq51l4RfWb2SvuPwK9saGpcbVigLk7m6lXdOAqqlAW7OW2TLbWqh2jI5oA6++Ijw9OamN1tRSDSwDuYEBrVtVsPryi8Lv9uwWd0jSR1tyJif00WeeTj2qqljRNKAiBBBBQIqiANV9LtV29qxyar7jnnt/TCIEp44ekfYWFJKljSvpDeXlVM3K1fRlaWlEhskMLQurqfpUCidHRtTB5ibl8EsvpJ5sb1NbZxd48/MsUWYiw9O/3/Nl27rquwzl2SvodEcRYhkThBDaty5+yLa+5m7SbvKqofgUYeYdrusav8pkucqxpsnJM4N7IgfanhPHAl1A17VUz/gJ+9bFD1kay68nDIyFzfFU6oIUY9LtRe6bV3+HMHIOymXJFkd87VjTPvIcdUWVEUs/Txg5u2NL/YOQJJhkx/CB8Z++casuyglDec4q6/rqO1Pnxo6psaSf4GkTpEkOIoiix869Zqov2ka7LNmQoXigY00aD5yDCBJKMD4eer/1cTWSmIEUySi+6Ahh4Z1wdvL6CyCaZNw3rFo6F/dIOq9e9hU1mvQRBtYKCUSJwzNnFX90lCtMr0McbbyUx815YB3oWNNVgmcsjq31D84aEGtKsmv0sLG24DI6zVZAmnknaTelo9kEgvDHHRNxjBlxjBnLquDYVHe/oSpnDWk1piU7Rw+xWc4FbH5aNYAAADy/94GuqBIAYABCOChPhvpt62vuMizMW29bt/BOXZSTkKJYoW+iCWu6yua6K9lcz0Imy1WGJTlFGDireWnpNXS6owhLcirZOXoo9G7zfybah/ZfjKzSFVUEGOuQJGhjVd46Q0XO6vO367zRMoAAIopkUufGjlxUin0BYFmVAq8f/Q81mvITBsZCmA0u2m3JJe0m72x73fziKrGOMYTw7OR/vnOfuaH0KtPikiv5koyGP6Wn6VhDLG2IHT/3OpPlKjPVFW1FHGPWkmJUE+c/oc/doykI4XSqc/QQk+0qN9UVbTOUZTeyeWnVzisavqAL0j2EibNjDHD8ZM8OQ1lWo/PyxZ+j02z5SjgxI3SPH/O/euSHyfbhA7ogxfBfsWH5v4roTP++mG/g4H/9Zk4XgQEAEMA5ChFg8Fek/fydgLGuAwAmAQCTEEI421o5p6f4M/zX32Z/nGdwzh9l9uf/f89eUbDq8RC77HbkSs8gsi+mgFFVrLQ0K8eCQf1jN7OSjKW9e6SdFAVpgxGaAAY4FNIDMzP6JIQAGo3QbDJBS9tZ5dQ/f3l+43z/PfENippNbVVUrKgykDEEgCIBRVKQam0Bx86cVpoupUC+yHWpAIABgoC/eemF1G89aUR6ejrKdrqItLQ0lG53IFcqiRPErOpbEUUs7N2j7xzoV7u7z6ltwaDumysgXRSpFE69vVN8KZXCiZkZfXJoSO2bmtDGQiHdL4hYwDr40+dozjfzY0mZaASHX3pR+J3ZBK1p6UTWuvVom6JgWVGAPDOjT+x+T3pTEHGqp0edF1l0IcytdaYBANMkCU888Rj8cWYWkVtcTJZ701GWxYKsPA+NgoBT/f3quVMnlcMzM9rEh1XY80UshqOqCtRNm9lrzp5VTnV0KK2xGI7wPDQUFpELFiygqoqLyQo8O/t+op9FzmXINKabC1K+5FigfeZYYiI2CAAA1kJbpaPcvcR/ZvqwkpAjEEEC0YiNDUY687aW3DW6d/BFCOGeT/S7YU7NoMZSASUYGzeU56y0LC/bDmmKk0Z8HUyOu8K+pf4BoXf8pC+a9HHFGUvMDaVXabGUP9HS964wOH1GDSemKKc5i3JZsgietTDpjmKMsS5PhwcCO47/RA0lpugMR4l906L7rKsqb5GmQv3TT+/5ijgw3XqpoVE2kxdSJKMnxQjltubZNtR8yrSocDNhZG0AY11XNEkaD5zDGGPCwNogQui/o3RVY6kgRPD1eFPvW7TXVui8tvHhrA01n5JG/Z2p7vHjyfbh/cjIWild10K7mh+TJ0O9dLq9SAnGxhFJ0ISZc7C5noWmRYWbsKJKXIG3VheVpP+Vwz+Qxvwfm0CpCVICEuhFadjXZt9a/5Btfc3dllVVtyTPDu4VBiZb5KnQANZ0RZ4ODyY7Rw4pgdg47bUXOrYt/ixh5p1MlrNMiwshLS4EuaL0eqF/qiW0u/XJPycmIEPyhIl3QgghYeYdxtqCywAGONkxfEAX5DiX6SxFHG06nwr2cdBFOQkAaIMIdUT2tz1LuSzZpkWFm80NpdfQTnOWEkpMGsqzV6ixlD+0q/k3iZa+XXIgNmZYkLXcXJ2/ASBIBN5u+qU4MNUKAADW1ZW3muqKttIeW16ya/Tw9B/2PiwOz5y9VMEUq7pCOcyZ7ptWfVtLihF5KjRgTpRcKY76OqUxfxdAkFAjKV/s+LnXpelwvxpOTBMG1soVpteRVt5Nu215TK67knKYMyFJ0BBBAiCIAAY40Ta0b/rpvf8sTc0mhP2jYf4Ej4gFVcNqNIrDfp8+tWwZvWZxA70KAABIEpAMA5j6xfQKTcNab4/eIQo4VVxCVqzbwFxeVkYuzMgkcgcGtO7iErKC55GB46EhFtHDO94QnjuwX3pvbEwb/DhSZHJSH5ue1scXVlOLpyb18cwsIq+6lloipHCSpCBdXk7WzI7zwhGR8wWEEJKs0UVyRhdl9uBISoy9tTP2yvu7xDecTuRxupDHYEBGhoEsAAAEg5p/ZETrj0Yubtp2IQT8+vS/fC12f0YGkQ0vIPfHGAC/X58Oh/WPKBD+HLIMpO9/N/YFhoHc4KDak0rihMWCbHY7cr7+GnwWIYD6+tRLfoFoGtbcbuKNkWFtACGANA1o5yMuZ9vzIDk0NNvaNN/rm1P0iACAwbnX/xhEEYsIwVeOH5P3p3lQBm+ABoaBHMNABqFZwi8e16OdHeqZOfIOAACeoSj4PEKAUBSgnCdMfviDjx5/jkhqmntdEP/x73/9uOeOKwEAzgIAzprNyOL2IK/VihwcB3mKgrQkYXF6WhsfG9OGLqUIuxjmJvweRJHfolyWHMphzqDclhzaayuk0+wFtNuSg3WsIZrkuOKMJfJEoCf0fsvjqXOjR6TRQJcuK3+pCfN+AAAgAElEQVT+zEcJjvleorV/l3l52XbDgqzliGNMkCbZZEv/Li0phsO7W59UgrHxD7do/emaRTlF8OxjuiQnHVvqHzDVF2+LHu54iTCwFtvG2nvFgalWoW/ylDwTHiStxjTvvZt+qUtKii/LbqSc5uzzVSWsqJIwNH02crjzJXk8cA4AAM9XF7SUGKU81hxIfHQiwpqupvomTomj/k7SzLsABAAiiHRhVl5MOc2ZlNOcqfijo6meieNYubBE+C+Pqam2tQs7lXBi0lCRuwYAgDVBirHZ7nImy7WA4BjzeYM2OE/yQY0LAWFgssVQlbsWaLqqi0pSmgz1Uk5zpnVd9Z2QJGjFFx1RQ/G/Sr0w937oRxT5XepA27OM11ZIZzhLKIcpk7QY3NY1VbcTJs5OGDk7RIjAsiLqsioo/uhorKl3p9A3cUrom2xSw4mZSy0mlenwoNA7cZJyW3OlMX+XPBXqV0LxCS0hRrCiiljDKgAYAAiR4osOa4lLmykCAIAuyAklnJhCLG00LS65Qk9JMTCbbsWTFoMb6FgXh2bO6nNS8b/ifswAAB6nHOa3mWxXGZvtKmdzPQsphzmTMPNO69qFd0ACkRAhQpkJD6W6x49h5aME5jzPJQMATkMEz4RtpnRmznOAzUurpr22AsLI2Q0V2SuxqqvyTGQgcrjzxVTnyGFpLND1YQPB/9+Bsa4TJM2SjMHJGV3FjNGeiwjagHVNCU92vSWlwv9wvkHzwdz74IKfnUv97e8J0sCYEUebAABYi4thTVI+0vr638XMjDYFAHjkkzqeNrumPAoAOEpRkMT4T0TK34z2NqUVAHDJzed/B3Pt1hr4H1g3za1xjs+9PhH4/doMQvBLJAkoCGdTwi6klvnJf3wy55t7fgkAQMfc6xPHvr3iWywL2PrF9IqyMqr6yqvYWy40a09NamMjI1r/J3luzsl7E1PxIQgh9J+dPoJ1jBGBiOLrK1ZJodRMdCjUafCYcgAEUAwK0xhjferE2HtiKDXzSY4DAACwOLuG4/K9Na5rlv8z7bUXCgNTrUy6vch2We29pNXgwbIqyL7oiO2yRZ82L1twrRZN+hV/dBQgRGJFFdVo0qfLqmBZtuA6riRzidg/2ZLqGT+hRlM+2m3Jta2rudtUV7iV9v4/9t47zJOrvPM9qXLVL+fOuXu6J48mK0tICAkRDDayAWMDi429670Oe22zd32vr5/rdVxY37XXEXvBwLUNiCAJJSSNpNEkTY49neMvx8p1zrl/dI80EiMxI43ECObzPPVX/7pOhVNV53zP+77fWF/zwLnvFL/+/B+5s8WTP0yMITE9dyHKOXLL2p+VOxJrGvvOPugtVc77hdq0M5U/qo507Fr5MRYAghgA8KYWAlYXVTwAwCkhqv+Wtrb7FmPr0P2RW9d9FGJEkCIazlT+aOSWdT+HJEERMtFeCABkjtdCkqBJnck1UCCyX6zPFv/tuf9a33PiK36xPnu5otyqkHEca/JvKf25zaHtwx/Q1vXcbmwbup/ZbpO2nCqzvSan1Nc39t0lxENtUntiBGBEIASQakrEbi6Ui//y7B+0jk094S1VXvF+WR3v2e5iZZx7vs0ZowAiJMSMXPT29Z8AGJGg1Jj3lipX1OdX76UNADgLMRpvHjj3HX1D37tCO0c+yJPhToixKKbCXeGb1n5EzMUGlN7MRsA595Zrk3JvZiPggHNKPYgQNk/MPFN68IU/c84vHbqc8VDtqWNf8vK1aSkXGxDbEkNyd2odiehprMlRuSezXogbbdhQE36xPqtvQndDggQvX5typgvHnYnlF52p/FFhaumw3Jka1Tf1vxtrcjSom4XGC2e/UfnO/r9wF0pnruRavJ3AyxV743GU+F//HHusr58M1+ushhCA4TCKNpu8PjMTTLa3466nnnQfzufZwppRYWM2i9oNA4YRgiigPHAd4NTrrFoqsfz58eD0vhe8p06fCo41Gqz2WlaFr4YQSAYHyZr1G4RtY2uFTfEESkEAAOOAQwAARADNztDJv/4r84+LRfqGX3ZYlPXMxjt+V0t37+ScUd9qLi8dePhzbqP0looU17nO2wXECEOCxdVNABAiCCHinDMeBB5zffP1JrAQQYgkUYOSoEIEEfMCh1lu40pWSJBIJGWofUfsrs2fVnozG6EoKNbJmWdaJ6afCkqNeeZ4TakzNZb91N1fgBgRb6lyvnno/MMAQSS1J4ZJWE2RsJYCCGHAGAUQQsA55z51AYLYnS2eWPyrhz7rFWo/UEcAklW3JfQ6qTwccOZ6JrO91uV8gJEkKFiVwqtpYYB5vsV95gHAAUAIQQQx86nLLKd+OdEXECOCdSUKEcKr0z6+IvvC1QowEHLGGG3a5TdT3A2uWqECjARIEIF4dZViZUQLAedsxfmC+dwPHO4HzmUdP4IQa3IEYES4T13uU+9Cces3usqIJEHBhhJDsmgAygLm+hbgnF6IcoQQIs5YQFt29c1cEyRgAQpEhhgLAEMM4cXXA3Bqu83V1amrAiSYIIHIkGBxpb3Vex5Qjzm++Vq55ZcLIqIixzOjAHAeOFaFOlaFeU7jWo8EEZVwLpzuv02QjYyohHOYSIYgaUnfaRWWzj39Z1ajcM0Orn6cQAIRsz+19TfCG7tu55T5hYeP/m31+fFvsuAady67zjUNkbAc7wuPui2/XpttXlWh5M0iilCUZajoOjTiCZS6sFB4MY4N7KmpYPziOQyRsJQYjKx3G161Nts6f6Xv2P73jXxay+pdsZHklgN/+Oy/ay02ppW4mh79hU3/B0QQYQkroi5GrKI1by42pyCGQmuxObn47My3Aye4qqJr4r3bfy3z83f8kX1+6WDl0Rf/1jo1+4w63L4z/t7tv+YtVyaMjX13QVnUVu2sUeOFs98sffuFz1+wuOYBdaVsrD92z5bPKv25Lc1D5x/iAQ3EVKRL6kiMiG3xQSQQxVusnKvtOfGV+jMnvuJXmpcVyRvePfqh3Gfu+UsoEMmZWHrRGl/Y7+drU9RyatwLXM451df33hm9Y8Mnak+f+OfFv/zuL/HgyhdlXg+IEUayqGNdiYqZaJ8QN9pIzMgJMSOLVCmCJEEGECDuBQ5zA8sv1mad6cIxZzp/LKiZ+Vctnl5Z2whCJAkq1pW41J1eq3Sn1+GwmsK6HEGSqPGA+tynLrWcml9qzPvFxqw7VzztV5oLzPFa/BLvbogQQqoUQgKWXh5vrgwRAQAQQAg4Y4y2nOqbvZaQYIEYSkzuz20xNvXfLbXHh0nMyJGQmkCSoEGBSKuFkQvufOl06/DEo81D5x/yi/U57vrWlTxXkGACCRahgCUhomfV0a4btdHOm6SOxIiYinQjTY5cWHi1J5YO1Z48+k8AQohUKSTEjXalP7dFzER7meO1rHML+2tPHPkH8+TsntdLC7sWuIIIHuBQCuj8HJ1+7ln38Y5O3NNq8uYjD7tfn58Ppn/v/wp94egRf/+X/pf1V5EIinZ1k/5IBMYoBdR1uW1b3CqXWbFcZvk3Gja5qtwfW91ekz/4/Tey94uBCAlSiPpuy60VTquprm2CamTAWxyFcp0fTyCEECIsXBAgAEQYcEYZfXOTtjfD6uTXBpcoQHxZ/78ywW+BH2JT+3qsFs97CuvKEW1N5+7wTWMPiG3xoXhncpQzRgFbcVegDavYfPH8I9XHDv+dPbH0IqAsQIqoC4lQh9yTWY8UKXSRwMOY69vUdGreQvmsX25ccoV/9eP0pvLVIcYEInwh/54DxqlfvXp1MDhlAXiTx3hZ7bwcVXJV++NqH/mhqWhXAluJGrhqlrSv2c6KuHlVB4OvBYQIQowx95nPHM+81MAFESIB+FKxb84p9a/EFlzQw7n4ul2/xHynRVQj5ZSWTpSO7PkCWM29x6KkxUa3/SJRjbRvNpaqpw78I/WcH3lOeTQ7fI9sJAeIoIRp4JquWZn2rNoc5yzg/PJrnFznTQIBJJoUDppOxSs25pT22HCNYAmANxct/ZMCRBCuuDHCl1IL36xo+1YBMcIQI7yaBok448GlJoNXAy0hZzb8zMCvVGeb41jEf0K9yy+0/1azKtp4YMWh6nVrpFwAIog6t6Zv2v6Zsf8y/dzSI+cenfvawB0d68oT9ZOVqcZlidF6R3iAOoFlF61FJam2QQRn05tyo+Ge6Oji3tmHjPZQ//G/ffH3vLpTHvjQ6K9GhxOb4MHFJ+WYmgYATL/hE74Eq1HY3Doz97x5bOoJ44aBexP37/iPUBK0C/bgAACIJEHljFOkSWEkEAkwToWontHW9dweuW3dx9SBtq2QYEEdat/OOeeAccq8wHHniieb+8482Nh37kF3rnj6Sibt5vHpp8rf3vfn2mjnzXJXeq0ykLvhUkmdPGB+UGrMXW1xB4CXxtH11W36au//ddteGV+Zq9ssAOC7b36fjAEArigT5Q23tXI/8gCA70IEH8KGmhDTkR4S1pJIEQ0oCgqn1A9KzXlnNn8iqL/xeoOr768AAGCBlTHpKSSQfxAykV65IzUqdSSGhWS4C6tSiHPO5b7sJu4HLvepQy233jo6+Tg/GDj2uYX91un554OWfVXHtW8VV5Si5fvcS2fwwMgaYf1jjzoPHnnR3+d53L33PuXD7R24W1ut81KrsSoA4LLrkVx7cA4hQhAi7NQKZ+VYdi0SpEtbAV/nOj8EKZwcjA1s/lnGqMcD39ZS3TvcZnmKKPp/DezWj3WR1MuBtuwahPC71pm556FIVIgQAgjilSgShABjNGhaZdpyLv7wNAEAp1a3HwmRwY0/E+5f/1MQQhQ4VtlvVueIon/h+j29zuVCZC1m9Izs0Nv7b8WyGivse/T3AQBTF/8Gi7KRuuGOX1cz3Tuoa9c49Z3m7PgTEKEvXW7EHBIlA0KIme+ZgdlYkqKpQUiIDFYFHiTKEa2t72a/WZtVUu2bzYWJZ8APWUh5O0BYkCFEpLp0+uFWeWYv5/QlYYcF3iVTQK/zFsA4BRBAv2YWgpZbw5oUupzaZNdZQelMrIls7n4X86krZ6N9nNKAGMofBs1rb6IQ2dJzl9IeG2IB87W+9IbWmcV9SCT/9FpuRm8GQSG6VXEKrbw9TySsgKu8yPB2gwkSkkOR9Y0lcyY1HN0YbtN61JicOvDF038EALgsgUfL6l3MZ15tvHw0tTl3K1EFo/feoU8ACICa0tub883z9anqSeZTv+eewROh7shwbCR5w9LeuYfB1RZ4vJUULX1D751SR2JESEa6SVTPAgSxt2SXrZOzz0jd6fXWqdln/WJ9RupKjWV+4V1/CgUsIVnUsSqFoEgU5ngt5voWNd0arZtFezp/tHV44lF3pnAiqJv5N9K3grpZRJLwZ9VHX/w7HFLjqwYWPzCn5QHznZnC8atxPa7z1rAqVhXB27CgeYFVgf0MAOAMEogIRaJAjAjggHPOGeCcrUabr4yxGKNvxTvwreQKXLQ4/acvxRqKAtXlZbpQr/NaewfuHhgko2Nrhc2yBBVNQz8eIgjnjNHARaIc0rN9N0mhRD8iogYhhNd6SPt1rj3kSHpENGLdlXMH/1FNde3gkAMt1blV1CLtAIDrYgB4KYqkAl7H6e1aA2IiNiZPPEhUI4NFyZCiqWEkiBq4fk+v80PAkhKSE9l1qa13vE9J5DYwRn0sqREhFOsGrxJ4IEKYuk69fv7Y17GkRKRockCKJPoBgAhcZk0BIisxohlZ6rstwJgPIHylMyNjPhIkwy4tnVCznduIYqSu1rm+GRj1bUYDJ/Dsqu+ZZc7eeNrddd44nDFWPzzzhDHWvhtrYsg8u3yAB9dOtMW1jtqbWq8NZLa4xeZs0LDLan96o5yL9AEADv6oj+3VhDf13AkxJNTymn7dKupr2nZUXzj/LbCy2n5VQQQJnAEWOIGFCLyswq3XMoFHXTkk/p2oCXp2XXxHeiy2dfzJ+a8vHy+/cLn7aM01znsttxbqjo5UzxYPDX5o9Fchgqh8srBfbwv1Le+bf5T51IcIojUf39ixtHf+EaMzPBjYwVVLGb4AdwObc8A549Q8Nfes1G5XmO01W0cnH6/vOflVrMvR3Gfu+X/NU7N7St94/k+wrkSUvuxmqS0+hDU5zLzAYa5nMsczg5pV8PPVSb/UmLta0WurEb02WCnAfc3ZVF/nncFqf/yx+55dtsADAADFEsvX67z25OPud6em6LlcDnfu3et9//tPug/99u8af6Rpr+/U9E6BBb5dPPHM5wUtnENE1Krjh75sFmcPXBd3rvNG4IBTo23wDlGPdVul+Rdb8+OPxwZv+DgiK7VarvPOBAmSQR2zgkXJwJIahZiI4Bosjnqdawsl2bah8+6f+30e+A5W9BQAAHDfazHPrjP3EjndEGJIBAUEnoUlOYwlJeqbjctOBYQIoVDPaMip5E9xSl1BM7KBbRZ5ELyU/89o4AR2q6C3992EJDm86vj0IyfwnbrIaRBO9d+a6Nzwke6N9zsQYoIwkZfHn/2CWVu8vjL7NsAZZxDBR+uHp5+AGBFOmf9malz9pAARhABCFL9xiCod8WGAEWaOb4lxPUcMJf5WtIckQQUQImq5TSRgkRhKDElE4auF+oOWW7tU5B/ECAEOQPdnbkdaX3qjs1SbQJKgYk0KQxHLV+P4iIjF1Eh0U7w/vDbcrvf13tJmM8p8PaW0IYywqAl6ejR2Q/fOzN0sYP7C4dKepWPlF3wraKXHYjdEOvR+JSIlWMD80nj9+NKx0l4AAIj2hIZ7b8rdp4SleOFM9fD8wcJTraK90HFD6tZYT2gNo9z3TL+JCBKcmlsSNSGkxuU0kbHKAx5MPL3wrcpU4wyRiTJwe/sHsuviOwpnqofVmJzklLO5g4XvF89Wj1Cf+VhAwmu117YpedOmjw3fGcqonYhAAgAA6TWxzZWJxkkAwDREEGoJJdu5NXV75/bMHTRgfulc7eji4eJzxfH6MRawoHqudDi1KXeL33RrXtOrmcutaU45UxJatjZePlI4vPQ0AABoab0jsTa9c3nf/PfMxeaUW3OuevTDSgQPBySspoxNfXc7U8tH8l9+8nPecnUCKaIR3rXmQyRm5PBK8XVAW3YNAPDE6naddwAII2yk5TYiYQVwwO2aV7Zq7usa+1yrYIJIKKd2YQFJgUvtxpI9yy7zOyVpgqHGpKTb8htW1f2xWKS9IoHH97iLMcA7d4m3cuCx/DJb6u8nw0PDZK2qIV1RoIoxxKsuAO9YVge3U+BVK6lXyvWInx8/3tA9ZYxyGrit5clnIURYbxu4XdDC7RALV2XQdJ0fDYKqp7RM5zbquy3u+xZEiFyuZfl1fnKhrlXhge9wzllgNhao77a8ennSWpp63ilfQrCAECnx7FrOAo86dnU1RekK3kEQIkFQAOeUqHqaaOGclZ8/yOnLAg917QYSxE8jIsgAQEQ9+23Jw/9hOK3yRDjVdytCRCKSlmA0cALXLGEiaggLyo/6+H6SWA2jv1DL4DqXgdqX3hha23GT0hEb8qvmsldszglhJYlEokS39d2buW9jD6ec1g5OPuIWXq4XhwQsSNlon9IRH3GXquetmdJJTl9fdJWzkd7M/Zvvk9LhLmepNilnIt9Jv2fjfXJnfIR7gSPnov3U8c3agYmHhbD6kP+qmhbR7f3vlVLhLikb7nUWq+PU9ltIJIoQUVPJ20Z/LnPfxnLQcuvVvePfpM6VO6hBBGFmLLYxuy6+Q00oWc44lUNizGv5dQAhQAQKg3d2fCg1Et1CfeaqMTnVszt7DyJILJyuHBq4rf2DjPIg8KjDKQ86d2TeVTxXO5roC48Ov6fro27TrxEZq53bM3eKKtFPf3fmS6ImhKLdoSElIsXzpyoHtYScY5T5gcNst+FVMUGCFBWSbZuSN8ohcZmICOhppb14rnYsuz6xAwtIChxqAQQgwpAggvZnx+I3vFZ70U5jINppDKgxKTW3P/+kHJUSse7QyNC7Ox+ACP4/alxOr7mv++NKTEr5dmC6Lb8R7tD7o92h4aNfHf8LAMDp/KHFJ7WM0RUbTmyOo+QNUlhOYAkrTtlennpo/Iu+6TUBACDUGx2LDsU3tRYaE+Zyc8Y3vct2jrxcVo0EOInqGdqwS7Rpl6X2xIjUFh8U09Fe44bBe5Es6kiRfiwW938SkQ0hcttvrP/zzGhkM6c8ePGrk/8DYfT5yxVGriXUuJS+63Mb/4ozTl0zaDz9+RO/DQB4XQtziCBK9ofGtn5i8Kc6NiZ2F87Vj2EB/Qb12Tv+O3dFAg8AAMzO0MlvPeh8pVRihcEhMtrdgwcmzgdnhobJWkmGiigCCawUMnrHAiGEWJRDiIgaABCuOI+YpVcXxSWSGiGyliBqKCuooWxr6fxTnFFfTXRs0bN9N3Xc+KFk540f4tRzGmZhZp+Zn34ucFql62Hm1yYQQoglNUpkLS5o4XYia4nmwrnHAURYS3Xv0DPdOztu/FB05Z7atdbS5B6zMPMC9ewfWBGDCBM5nBxkLHCVWE6yygtH7MriUU6pT327rsZz6wVFTxu5/pvVZOdWJIhq4eiTf0z963Ul3in4ZjPPgsDBomR4zeocFESVM/q2PdsQQrgaNQQ4pR4iggoJkQFECHBGWeA77Hp/uubwm/W55b0Pfw5iIgV2q0hdu8Z877UnTIxTt1YchwgT6tkNFngWdcwKuFyRBwIkGNFOMRzvD+xWHiIs+K3aHKPBK4pOrvaVa6q/yFqsx3OaS0RUY9XlMw/7dnOZUd8GEGHXLF83PXibwIqoxW8e/rDWn96ENTlSPzz9ePmp019lXuBiRdS0vvRGr9JaAgAApSM2ZE4Ujiod8eHQuo6bxJies+fKZ8p7zv6rV2rOc8roaqSJhiRBWam1BgDgAHDKfGp7JvOCS7rLGCNt27WBzGYxobcBAED56TNfQyJRQms7bhKTRgfzqdM6ufB848TcHmq5dfZDnCCxJkWUttiAMdZ+o9qTWscZo85iddyaKBwxJwtHg4ZdfnXdBayIeua+Tb+MFFGv7jv/HTdfn2a236KOZ0GEEJKIgiSicp+6yTvX7pKzkV4esIBEtbTkBTYSieyVmvNiXM9S1zdju4Y+4JWa8wCAOUQw0Ufbd3d8/KZ3S9lwL7X9lhBWEuZE4UjyjrFz7nJt0lmqTfpVM8/Zy4sJECOUvHPslvaP7v49SLBoz5ZOhdZ13kxNt25O5I/KuWiv0p0YI7ocDY2136iPtG0XE8b/7ZWaixf2Ed3a9x63UJ/hAfOlTKSXmk6NBzygplsnETUlZSO9am9qfePo7PfBReYMkCAihNWEMdK2U1/TtgOromFNFU+0ziy+4CzWJqjp1DjjXFSJoUTlpFP3KkhA4vkn5r+uJZVcaiS6ybeClhKVkrkNid0AAtAq2PMQAhTrDY9YVbdUm22eQwISpDCJTj+79NDy8fI+JCARQgDbt6ZuE3UhbFfdglmyl3LrEzvTY7GtMy/kHyMyVlfFnUMnvzn59/13dHywc2vqdrPkLM8dyH/fLDmLa+7r+XksYCnSaQzUZpvj1GUOkbAsyFh78Uvn/izabQyvubf7o1pCybYK9vzrtedZQdOuOUUIATz7yOxXEoOR9d07M3fJhhhRwmK8fVPypuz6xE7fCpp7/vzIb1KPuVs/teZzkiFEs+sTOwEAp92aU5YiyhetQmvO6IwMAQhg+WRh3/KBxcedilVY7bsovTnnlI7ln4MYEmu5NfNWTMiZ5TYA44z5vll7+viXW0cnn4AYYSEV6RHioXbr7NxefX3vHUgRfzzKc/wEgggUOOescLZ+tDrTOodFJBEZK+BNGKj8qIBgJe1z/sXSXiOjdEbatB7wGgKPIBNFDgnRNe/uuLX/lux7lbAUCzzqhrJqF4Q/HvXlrljgCQLuZ7KoY8sNwm4AILBtbt54s/Su/n4yXCqyZVGCIrjGBolXChaVSHrD7f+7oEfaBVlPiUase+aZr/4iAOCZC79BmAjpDbf9qhzLrhUUI40ESceCZKipjhtEPdZlleYONefPPhbt2/iR2OANH48H237RKs4dLBx76k8hxk9x+sMrumNRNkQj1k0kNYaIoHDOuW82Fr1WZfrVDicQISxH0sOiHu1asWVBmHMWONXlU16zOsM5YwgTQdDC7aIe7aK+27TLC4cvGaoLISSynhRD8V4iKVHqey2vVZ3xzfriazm3IExEQYu0e83yFOecC1o4x2ngBo5ZxqISErVwO4AQAc4pDTzTN2vzF7eNMBEEPdopaqE2JEg6hFjgnFFOfSdwrJLXLE8Frn3ZlnRv6BwEyUivv+0/iUa0S9SjXQBAgIioGm2Dd2JRDlnFuYNWafxwfGjrJ/Rc/y2xoW2/YC5PPlc49tSfQIT2XSzcEVmNJ8Z2/4pVnD8EIcKiEevWs/23WMW5g16rNtNamnxGjmXHICaSkmjbIGrh9uLxZ74AXuPZQURURD3SIaihLBLkEKOeFVjNvNeqzlwLbjc/ifDAsyhn1C7MHRJDsW7uexZEmGhtvbu571tOZfkkC/zXLcqGRUkjaigLEcScAy6GYt3Mc+rUc1qBbRapY5UvJRpJ4XhPeHDjVikU66WeU/ea1Vkl2bZB0MJtRA/lIIDQqSyf0jsGvmcvz+6nvvua+fkQIUxUIyUa0S4kyiGIEAmsZt6rlyepa9deK2INi7IuhmI9RDMyEBOJOlbFa1SmA6uZfztEbEREWUm1b2a+a7q14tnXFUleBcRYEI1Yl2CE2yHCQmA2ltx6ZYpd4jphUdKUVMcWiJAAIIRuJX+Kem5TiiQGiKKnOOeB36oveo3y5KWOAQuSpma7d0CMRQAh0ruGfHt5Zl/gWC9FyRBFi8mJ3HoeBA4LPCuwW4XAahY4Y5RzRjljgVNePskDz9I6Bm6jjlUmqpHROwYG/GZ1zqtXpl4rrQoCCCAiUmA1l716ZQoLksFe9c7AoqwrybZNSJJDgLtBYsAAACAASURBVLHAWp7dH6yISK+85oKoCEakU9BCWUREhTMaeI3qjN+szLDg5YkwhAhiWYkSRU9xGrhYVmNYUqPUtWvUs2uB1Spejk07DdwmQkSqLpz6dqM48fS1kjr2kwaWBV3ORQfs6dJJtT+zyRjObas+P/5NAIDLA+aHNnbdLqfD3RwAoHYnRp3F2gRWBCMw3Zo1nn8xsrXvnsgNvXcvff3gfxMi2v7Q2o41xtqOm+RMuIdaXhMSLAgRNcU5AM2T83uU9thD9nxl/BXHoIh65v2bbwuqVj5oudXQWPtN2mB2i7tUm3QWKuPOUu282p1cK6ZCnWp3cowF1MOKeJTa3g880xAjoo+0bU3fs/7TJKKmxJielbORXmu6eEKIaenotv57mU/d6vPnHhTj+te88svuiEgksr6mbQcSkER0KQIFLLn5xow+lH00ur2vDatSSB/MbPGq5jK1vIabb8xgTQrTllPlPvWoFziccto8Nf+cNVE4imVBAytzEyDEtGzy9jU/i2RRhxBCIawmqONZYlxvc/P16diuoQ+Icb1t5m+e/HVwsZsghAgSLCx/4+DnpWykN7S+85agYZep6dblTKRbCKspa7Jw1J4pn1I64sPGcHZb8s6xjyOC/4StugsxN7Dc5ca0lI32IhHL1PKanANO8950bf/kQ9wP3NR7NrwirRzLghre2H1TeGP3HbGdg+9DElbcpfokhBBpA5lN7nJ9uv7i9GNIwIeUsKiEMmqnHBHj9XlzqjbbOi+HpbhvBk3fDiw5JEYZ49S3gpZZspfMsrNcXzAna7PN8VbRXpx8evHb3bsydw/d3fmR3IbEroXDxWdrM81xImI5cKllFu0l1/QbvhU0rbJT8C2/hTDE1Gee1/LrTsOrxXvDz6eGI5vkkBizK27eKjl53/bNaI8x3CpY87XZ5jgiUGAMUKfhV5ZPlA+E27Ri+5bUzRACGOsxRl6vPc4498ygKRksygEAjUVz2q57ZUEhuhQSo2pCzjbz1hwmSLBrbgkiiKvTzbNYQJKWkDMXrqtbs0uIoH9FApYhgoi6gcWCl7+pnHGGRbzHt/xmpD+2DmIkSCEp6jbcq+ta6fgmNZ0aJFj08tVJrEohEg/laNOqVB4++JdIlcNiOtqDVlO0rvPOQ1CJjgkSKtOts8Xz9RNaQs7gd2g9LBpwn3PO7LpXjbRrfYJKLtkvBYWoa9/X9fODt+Xezzlgvk0tUcU6gATWF62ZH5fEmysWeHp6yeC99ykfHj8XnPR97ieTKHPiuH9oYACvkRWoiiKU3ooDfTuBRJAFNZRtzJ15BAuiHu4eu18y4n0QomdfGmBCiIlspJrz5x5VEm2bwp2j96bW3/qbdmXpWH3m5LedWv50qG3wTimSGmounv8+FuWQFEkNtu24/88W9j74vwEAHnut9rEgaeGuNfdmNtyxXgonBqjvNhEmshhK9DXnzz6GiKiGOkcebS1OPM2ClQkFIqKWHLvpP2BRCjm1wlke+BaR9WSoY+Seyrn9X4wNbB7MbHrXCHWtihhK9GFRDs8+87VPAgBeWimDECGiGun48PZ7w11r7hX1aBeWtbjfqs1ZpblDgd0qaOmuR+3y4lEW+K9YYYNYkCO9637KzM/sFVTjXHxo28c4YyzUPvRiqGMoKkfSI06tcIb5bivUOfJut1Y8J4eTD3tmfUE0ot2ZTXc+IEczo0gQNaeyfHxVGIpomZ5dCBPJLi8e07O9XzTzM8+/XpTEmzkHhImERTnUXBh/Qkt37wy1D70rte7W37TLC0fq0ycedJuVqUj32P2CFm5vzp99jMhaUk123pDb/t4/Xtj74K8DAF64+EgAgNCpLB0HgPPAbhWcytJxqzCzHwuSzjN9twDOKPXsWmth/Ilw99oPXOp8kCCqRrbvpvT6W7cq8ew6LdWzE4mS3lo8/xTnjFLPqSdGtu9pzJ97fFU0ux4d9jaBJDmsJNs3CEaknShGGgmiGl+/67NSLLMGcEad4uLR6PCWcae8dMKtFcdfHU1DVD0ZHthwn2BE2kU90g4FSRc0I+s1KlNerTSBFS1hLc+8ABH+t4tFSYgwia3dfreW69ktRVJDgh7O+q36YmC3CkGrvggRFrAohwUj2pnafOtvNWfPPopF6a+p94PiBZHVaHRo873ECLfL0fRIYLcKUiy9xlqc3EMUI1WfOP5NiNCzF/crRARJ7xi4PXXDHbuleGZUy3bv8s3GolvJn0aYyFZ+7oCSav+uU1o8erkuT28Eourp3C3v+zxgnJmLk88kN9280Jw5+4hXL08S1cgoqfaNUiQ51Jg6+S2nvHwagJX3gxhJ9KW23P7TRtfQXYIWyvpWq2AtTT3POWdG19Bj5sLkMxeEOQghVDNda2Nrd3waYUFR0h03NKdPfzewWkWiakksazHRiHYFdqtoLc+8oKY7H7FLC0c4ffl+ieF4b3r7Xb/n1csTSqZzG/c9c+Gpb/x7AMBzF36jpNo3Jzff9puBWV9ivmdyRr3CgSf+EACwDCFEgh7KCXooR127Kscyo5xST8327BL0cBt17ZpdXDgS7ls7bpcWjwWt+vyro3MQIZIUTQ1R2ywJoVg3o6+MSpCiqeFQ7+h9ACKsZrq2FQ489gcAgIcu/B0ihKVoejixbtfdWNGSWFIiSJB0zqgftOoLjAauaET+wWvW5iGEUI5nx7Rcz64LhcexrMWRKBlutXDGN+uLohHtLB97/q8AAEdf/y5DhIkUwoIUIpIWl/W4QUQ1SkQlZtWWjnpOs/BG+891Lh/mUwerkiHEtIy7VD2vdCfHIFop1A0xJBAjoX5k5gkSUhLGcG6bnIv01w5OPRw07Sq1vIY1XTiOVSmUff+W/+DVrAJgjPnl1oI9XznHA+Z5pea8ENfbxJiejdzQe4/Wn94kxvTf8iqtlwr7El2OSIlQB/eZ5xUbc+Zk4QinzIcIErU3tQ4giJnjm3J7dJDoUiRoOVUIIUIiOXBxFA5EEBpjHTuz79/ya1gVDb9ul1CG9K60oUSt6dIJr9Cc44zR+C0jPy2lw11YEf/zRUIRDxp2yTy3dAhAAJWu5Gji1pGP6EPZrWJczxUfPf73UCAiABAGDbuced/mf+8s1iaq+ya+I6XD3aF1Hbcwx7esqeKxyI7++9Te1Ibq3vPfWtkzZ2LCaG8en9+DVNGQc9F+KRXuhAgiiCEOWm5ViOtZfU37Lojgv6ymzQEAAEAiUaRMuJs5vkmbTjVouTUeUI8YcowH1Kvum3lSH8zcgBRB9+t2Mbp94L3V58cfBKtOlJwxmrl/02ebpxb21qaKx7W+1AZ9OLfdmiwcVbsTY1Im3COE1PgFVxksi1ryzrUf0/rTm+yF6rnyU6e/KqZCnVgTQ3JHfMRdrk1Sy60n7xj9GBKQZJ5d3FeZapyJdoeGpJAQ0ZJyVolKCc8KmhABVJ83JxuL5rSoEkNUBaNVtBedmlu2Km7BtwJz6Vhpb3PZnE0ORjd0bEvd3nFD6lY5JMYaS+Ys9amnpZQ2e9wr1xfMKc8Mmm7Lr630T0AElegIQRRq073AYTaEFPp2YFGfuk7NK7VtTO6uJJUcgAAKCtEY4xQADpSIFFdjsmJX3RKRsMw54K/XHsKr7p+cc4ggchtetblkzkY6jQEsYrk+2zqvxeW0nlLbh+7uesCpu2U5LMaay9asbweviJhYFXRec2GGetRb+6nN98TWJLdCAIG51JwCrxiDvnk4ZQGz3SaJ6GmpI7nGmc4fp02rIiTDnfqm/ruJocaFRLgrqJlFiBF+K+tyIVnSpP727UhVwjwIXOvFM2/aFvw6AMghMarGpJRVcYss4AHzmY8IekcKPK7pN45/Y+bvlYiYWDxe3VdaqX31A0AIYDindku6EHJbQSOcU7s8M2guHC3tnXxu+WFG+Q8NwHgncMUCT6vFm//2L/Y/rt8obBUEKBw+7L+gadCYmaETmABC8JXv81qD08BDRFD0dPcuq7x4BGFBxqISWlljuQCESBB1CCHCRNI4DVzmu023lj8rR1LDaqJtE2fM963Gkrk89Rz17bqe6btJjqZHEqO7f0VQjKO+/YODUymc7E+tv+2jnAau2yxPYVmN+2Z9UYnn1lXOHfgiRFhKjG74ZT3bu7s6cfhriIj/gwWeDSGEiBDZrZfGrcLsC1I4OSSGot1qqnu7HE2PEEmNm4XZfWZ++jk11bmVBb7FLxrkI0xEo33o1lDH0N1YVKNaunsnp9RtLU8951uNZdGIdgCISWJk52fcRum8qEf+0WvV5i+6agALsiGHk4OiHukksp6K9Kz7QH3mxIOMBq5Ty58BEEI913+rFEr0QYSFUOfwu32rlUeCqPtmfd6uLJ/wmqUJLCphiAXZbZYnAITIN+sLeq7v5rZt9/3h/A8IKS/zps8BQrQSPQQREkSN0cChnl1zG6VxJdG2UU11bYcQQN+sL7QWJ57mgDM923ezFEr0J0d3fZbI6tnAsaqrfcihrlnW0t07qOc0yqf3/jWjgZsY3fUZPd2zu7U8uccszO7nlLpCLLQWIkQu2P+uHAqEohHrymy845N6duBW36zOikaij7HACVpWlfluS0l0bKaeXRP1aFe4e+37q+OHvowF6VuvF61xnasHwoJsLkw+K0bifWqmc5vfqs9ZS9N77fz8QaNr6C45kR1DomRo7X23UNeqSJHk37i14vkL/09kLR4Z2PAhACHijPpIlAyIEBH0SKdTWjwu4IgcHd7yUTs/dxBcHGYKAYQIi261eI65bh0itMOtFce9enmC08Cjvmf6jcqUFM+MckmJGF3Dd3mN6gwA4OsXH7+gh3OJTbf8EvM9C3DAA7tVFPRwmzk3/oQUz4zJsfSIGEkMrL4nXgBgxf0pvn73pyKDG36auk5d0IwMZ8yHEGIsK1HAGNVyPbu09r6by0f3/HeI8cOXE634hoAQedXSeGP69EOAM6p3DN6h5Xp3BbZZhhiLzekzDyvJ3DpreeYFAMBpiLGgd/TfpHcO3hHYZplT5nvN+nxgNwtSLLPGKS4c0bI9O+VYZhRL8t9T12kAiJAUSw0HrfqibzXzbr10Xu/ov415bsOtlSeCVn2RuXbdLi0dY57TCPWO3Q8xliBCL1wQxVYKI68ULm5Nn3kEq3qKBa+MKoCYSJwGrl1cPCpooSzRQlmI8MogCyLMgsCxC3MHQz1r7pVi6WG3kj9VHz/yNTGSHNTbem/Sst07sKRGw4MbPmwtTj2HJeXL9OWIR8g8t2UtTe+lvmcy32tx+koHJM4ZxYqeNBcn9xBFixNFT178d72t7+ZQ//oPupX8Kcw55Rww5numU14+Eeodfe+qiBPDkvxfAIQtKZYajgxteoCzwOOM0RWFSIkIWijnVpZPCZnuHdGRLR9DmPz2q1OfL0bWY71EVCKJro0PxHJr7gMQ4cCzKpIW61k6t+e/AQCuCzxvA8ynXtCwywBACAUiIwHLAEIIAACQYIHoUljtTq4NTLfu5uvTJKQkkIBl7lM3vKHrdmuqeIy5gW3PlE4lbl3zgLNUPc8C6iOBSECCanJz97uc+eo5r2oul586/VW1L7UhccvIA0gif8nclXQtKBKZRNQkn6+c9YqNeb9uFbW+9KbEbWsegAgie6F6XkoY7UgSFGuycJQDwKO7Bt4PVyYr379wLlI63B3bPfiB2sHJR5AsaGpPai1nPHAWqufdfH1KiGgpN1+fsSbzR/yalQ+v77w1tnPgfRChr3DGGGecYU2MhLf03FU7OPUIAAAETacKIIC1Q1PfMycLx5SO2IhfaS5aU8XjS/+6/09ju4Y+QMJqKmjYZXu6dEKIaZnqC+PfAhCi2v7Jh+zZ8mkAAAhabs0rtRaCllP1F6vj1efHv8kZo9Ft/ffpI7ntXqk17+br06H1nbesRlC99OxADDEJqwmv2JxnfuDoA5lNzkJ1vHV2cT+JqKn4jUM/5dftoj1TOgkFLGl96Y1qf3ojhPA055xX945/y54pnQpv6bnLq5jLbr4+I8b1nFduLlSeH/8GlgUdEizSllMFAAC1L7UheefYzweW1/DrdlGIaRkAAQyaThVhJIgxPcs6/GEAITLGOnab4/lDxXO1o0ZO7Yp2h4bW3NfzcavqFASZqKImhCe+v/Dg0tHS88nB6Ho1IadFXQiZJWcZIogCh1pr7u/++fq8OSkqRJcMMWwW7SXPDBqVifqpzLr4tlBO60kMhNc1l6xZOSIllo+X94maEAocahEJK1jEEsKQOA23ggVZwCISOQMMi0hijNMV4QpCRjlt5q1ZhCHZ+otrfgdAAKyyk/cwJPW51oRZsBdfqz1EkAAhQJwBCjjnnANGJCx7pt8gEpaXT1b2x3pDI3JESnTvytxdnW6eRQISW3lrbuHF4p5LPXsII4wlogAEEHUCCyKIxJAU17JGV/8HRnoCy28IuhR5iyblHHDAadOucJ96PKAus70W96knRPSMO188LWYifZBgAYnCW5rWgxQppG4YuoczTrnn2wCA6wLPVYAzzuyaV7KqbkGQsbIqUr4jU5QChzoQwS9DBDGEAFKfXXLs6VmBmRqKfKlVdBYbS9Zsbd6ccBp+1W36dc/0mxcL568GIYgElWhYQJJVdUtExKKWlHOSLoRYwHzPDJpm2cm/VttvJ1csxnDGmetyp9ng9VaLNTo6cE8+zxZFEUq2zU3G3/kuMpyzwKkXx32zPu+btbnAtaor9sfwFRIPUYxUtH/TA4HdKgVOqwgA56IR7+EscBGRNAAArE0e+f8gFqTE8PZP+VZjycxP7w11jLw71DlyDwDgixfvT9Qibbmt9/xniInktWpzghrKssCzjLbB2xvzZ74nGrFeJd62oXLu4D8hjEU923dT+dyBfwQA2JxzymjghXvWvh8Azt1mdcatl8aJrCcDp1WECIt2ZfEY9V2TunY1cMzyxeHx4e6x+2MDWz5q5qf3OrXCGae2fFLUop1IlAwj13+Lb9UXEBG11tL5p5RYbm1ydPdnERZ+j9ELK90ICWooJxqxbru8eFTQQjlGfVfP9d9aOXfwnzilrmjEerAgauWz+7+oJNo2es3qbLhrzb1Y0uKB1VjijHp6bvA2uzR3CItKRDJivXZl6RiW1GhzYfxxOZoeTY7u+mUiKacvla71Zs8BAABEPdol9K7PUs+pBa5ZAZwFkhHv45wGiEga4IxWzr/4z4KsJxLD2z7p1Aqn7fLCYT3bf7Oe6b0RAPCtlT7EWeCYJSSIRqhz5B6nunwKIkxEPdrNOaN6tu/mwDGLnAYeUYx0Y+7MIyxwX/o4EllPJtbs+mVBNTKtxfHvc0b9wDHLgmJkAMLYtxqL/uzJRYixxCl1saTGI30bPgwQIgjjr7K3alJ9nZegjlWljlkGPNbdmj//JKeByxnzja7+uwHCQnPm7KPUsaqMBo7ROXhnbGz7p5Ag/p8XInkCxywz6ttOafE4IqLKgsAGEEA13bnN6Bq+y6tXpqRIol9JtW+GEE5e/LxiUQ4pybYNnAYOxEQW9Ei7oIVznNEAcBYAzihESPBqpfOCHmmPDKz/EBblxy6k82FRNlLb3vVrenvfLX6rvtCaO/8kI4LiNSrTYiQ5yGnglk+88DdKsm0jlpTohXaN7pF7pGhyqDl95mGihbJEVqJYkiM88GzmeS2vWZnxaqVxJd2xJb5+96+49fIkAODEW3IDVooGJ5Vkbr1vNpaQIKhYVhNY1pLW0vTzLPBtLCnRwGrmAQBAiiT6k1tu/0/Md03mzx+yCnMHpXCiX9DCbWAlsqffreRPqdnuHU55+SSE8HGAECKKkcaKnrSLC4ep3SoGZn0JK3pSy3Zvx6IcgQhhOZFdZxfnX/Tqlcnw4IYPM99rAgCOAQAAQJiwIHCd0uJR6jp1o2v43a9OkeI0cDn1XcGIdCBEROratZeibDhnfqs2ByBEfrM22wrGHbdeOo9lLaHlenb7VnPZKS4epa5VdYrzh0N9a99PPbcFEfrShQgqRgPHK1emiRrK8sB3AH/lSit1zDIPPGulD9MACS/XVJBj6ZHcrR/8HQghhhgRu7BwWEJYZABwNdu1w1yc3ENtsyzHM6MQYsIZY0bnYCVwrapbXj4BiaAGVqsgGJF2OZZZo7cP3EYdq6Jlu3cKoWgXAOAVqTivOC7fbTqtyqSsx3p91ywy6ltE0lKcUQ+A69GKbxcQQUQMOQ4Qwn7VXGZuYIPV9xEkSGBe4DAvsMWYlg1aTg0pogEghFiTwiygntqdXNs6t3SQB9St7j3/IJSIYs+Vz0jJUAcx5Fjj6NxT+lB2q9qf3mieWdzXPD73dHhT951KW2wQXHiOAAcQQmSeXz7k16x8dHv/faF1HTcDDvjcF/d8rrp/4iGlMz6S/eDWXycRNYVUMQQYp+n3bPh3Ylw/45VXagTFbx75sJgw2oO6XZbbov2cclp59uzXCw8d/Wuv3FyQ0uHuzk/e8kcAAIBELJkT+SPGus6b64dnngAALAPOWdB0qlIy1G6Mtu8WE3obc33TmigccRaq40gkCqc8sKZLJ6zp4kkhpCwZYx03YokodrExF93e/16v0lp8dQoaAAAwL7CXv3XoL9zl+lTQetlRzxhpI/pIbjsSiFx64uSXEneMfYyElQQA4KUaOpxyGjSdCvcD156vnguNabtL3z/5z8UnTn4ZSYLc9jPbf0ftTa0L6lZJjBttJKTE1Y74SEXEEgDAqR+dfUrrTVVC6zpvBpwzHjBPykZ6a/snH3IWq6+od4VEIrV9ZMe7vHJrEUAAlM7YSO3A5MPlPWf/lTadqr6mbWf7Azt/lzq+2Tw297S+pm0nkgXNrrSWiYT/WYlICd8JLEEhemo4upFzwBnlwcLh0rP1BXMq2h0a4owzTjmtzTXPAw6YVXLzufWJXYnByLryRP3k7L784wsvFp/xTL+lxuRCrCc0QmSsUp+5dtUtBh61i2drR6nPvFbenmeMU6fhVfInKwchhNCzghYAnC+frByoz7cm64vmFIQA6iklF+s2hgKfeYKEFbfl17CI5IUXS88089Yc9Zn/Wu1VZ5rnAATAbRRrdtUtAgBAeaJxinPOrLKTtypOkYj4vyeHIhv0tNruNryqWXHyVtnJO3XvFc5Fakpri4+lt4/+wsa1giaGOeOU+dTFIpG1nN7DGafL+xceT67L7NSyeg/z2Vtm82xP5Y9Uvnfof2JFNLT1PbdjRQrX9576NzEd7SGJUDvzqw4UiQzeIoEHh/WUtnnkPSQZ7YYCkWnLKqvrB++mpl1xz8/tFzLxfhILd5B0rJeZTs1fKp3xl4pnebASSYvDelIZ678TKVLIXyiehgQLfrEyHeQrE5xzLiSjXTgR6RZSsV7u+aa/VBr3Fgon+aqdO9aUiDzWfwcO62l/Pn8CYCTQamPBXyyeeT0x4J0Ao9yHECAWsCA1FN6wIum9c0/pIjOA16VwtnYMvPRtuTwi7Vr3rl9a8wkjrbSbZScfbtP+55af6/+ZeG9oxCw7y8m+0BiRsDKzv/BEuE37cn3BnHmj53E1uCKBZ36ezoTCKPLJT2u/XquxsiBAMZ1GOcYA1XUY2rvX+77r8Cuurn/NwQEnkhqVI+lhu7J0XDLiPVZx7uClalpS3zMDxyyJoXgvkbU4kY0UCzyL0cCFaKUODpHUqFVaeDGwmwUsKhG3UZrQs303Y0n5xoVVVixIanrjnZ9V4m3rPbM2z2ngVKePf12KpEYCxyqJerSTKEaKumYZQIiwrCUAXAmRBgAAzmjAA9/CghwW9WiXaMR7lHhuPYAQe83qTPns/r93KovHEBYUohoZqzR36ML/yuFkf8dNH/5lLMiGqEc6GPVtQQ23CXqkg8hawrcai4ISynDOmRLNjglaqA0iImrpzm3gQl0iCDGAEJr56b2CaqTN4twBLGkxADhXk+1bOOdUUEM5r1WdkULxPk4Dz7dqC269NO7bU8+xwDO9VnXGrRfPhTvX3CvHMmOeWZuLxrNrvUZlyqkunzCXp55V4rn1oa7R90KEvnxx+sdVOYcL99RzG4FrVaVwcggrRkpQw200cE1OqQchhCHOGVG0RGt56lnq2TUsKhHfrC9omd7dWJAep75rMd9tlk+/8DdIEHU5khrkgW97TrXgNkoT8aFtv2gV5w7kjzzxh5wGHsSCDDhnF84HEUFKjOz4Gbs0f9gCnKnxto12dfmEKkgagBBwGnhqqmsbp77rNsoTrcXJZwCEUE20bUwMb//kSloYOHJVn4nrXAoOAISAA4BFOeyUl0/K8cyoFE0NurXSeYggtosLhyEhUmt+4imiakk1070dAPAkAAAw16k3p0591ykvn/IalUnq2jUAAIwMbXog1LPmHq9Rnqqers3J8exofeL4NwAAL4l2qxEYMLDNslevTCrJ7Lrl5x/+z+bi1B4xkhhIbb71N6nnNDgNHMAZE4xIuxRLDQMADgAAgBRLDRudg3c2pk59tzlz5hGi6AlBC+WaM2e+F5jNJRb4DoAAIkHUqLcy0ZCjqaHUtnfd25g4/k0l1bE5sJp56nmtpWce/I9WfvaAGIp1h3r/f/beO0qy6z4PvPHlV7mqq6qrc8RM90TMYIBBFBEYwEwRoqhAipZkUlpLx7Llo1WyV2t5KcuWZMvLtcJSlCXTFElRAiGCIAgCRCDCYAaTQ0/nUN3VlcPL7967f1Q3pqcx5IoUIEpH+M6pc/qceuneV/3e/X2/7/f99r7LY6HPHKsKAIDR4al3QwgvvBHdBEWXpIBqunAI0cqsHEuPhk6nYhXnn7E3Vk5gRUuEdqfMXLsGMaGpA3e8HStagrlWTYomh4NOY23z5Dd+S4SBExmZeo+aLhzEip5sL116lBqRHCRUBZwHWNHizLUq1vri80TRk0bf2A9EBm96u1vdOFe68LXfoEa0NzZx8ENYUqNENTKA8zA6MvVeomgroWvXu6SbYIJzRs1YP/e9lmDsuhIpEYYeR8JIPgAAIABJREFU872W36zOEs3swbISA/waSQsBgEAAATCWEKEqD3xLzw/dTlQjE9qdEvPsulNZP0c1s6c1f+FhopkZKZIYBAB0AzMIMcRUoXokCxDCEGFp93wSPZKjRrSAqGxsl2EgTGjmyL0PASFE/dLLf+LWNi7ovSN3hU6n3F689BXBOWOe05CiyWFEJV2IbucJr1mZay9eetQuLjwbdJprLPA7iFAtd8e7fpsHfidoVRcCu13SegaOgu9A8DRKM19DlXkFQkyA4FwAwREiMoSIeE5z9dvt9yZeX0CMCCSYMstrSkkjD7ryBL71HUUy1ZBEFAAgRBJRWqcXn1j/y5d/l9leS87Ghgb+2d2/lbhj4n1hwy67xfps2HKqNKan/VpnfePhU7/PA+Zp/ck9hR+/4zdIVEvTuJ51N5oLan9yEiJ0XnDOWdute6Xmoj6WvZnG9B4lGxvCmmxac5unW2eXv7lVHnJe7U99cuQX3v5p7vhtrEtRv9xZ1ceyhwEAj6h9yYnBT9x7D4QQx4+OvJ2HzHfXaldLj5z+lF9trwMAAERw0V6onOt5+/6fap1ffYbEkKQWEhNKITEOANgQXHDuBp2gaVc2Hz3zB8wNbPOm/DEpaeStudJpv9petRfL57aVLoILBhHEACFK43pP0LBKSCIKxAjt7owlGOcQwjPYUGLRAwN3K4XEJFKoFj82ksCqZAIMSdjxGtwNLKU3PgZ2EDwQAuAsVS5yP3QSQ5l93GceNpQYAABwL3D14cwXSERNti+sPos1ORLUOus0aeS2lBcuAN1SPKRKBlaoDiWihC23hlRq7u4equTjo5H9/fe4a/XZoGGX9NGeQ/pIzwGlkBgnqhRBmmxKmUi/nIsNS3EjBwAAUsrsBQBshB7zwJZ/EESw0dl0VncFyUtbn+ugRKRP6yk1SzVi+p2g0VzrLGxnye2aWwYA3KhN+LNbn22UAQBf27XNS9t/qLGu0SrngpUu1F6uXm2eYyEPnLq36dS9yraR8Xc43wsQwRd3jeexnRuEPvMAAC9ufV4DOaYkR949+ZNHf/mue0LLbxWfW/4y85kXGYrvSe/vud1reBU5pqZrl8onem7ufYuRN4fay80rTtVev9HxXg/Iufho9iP3/pacS4x5G7U5rMiGVEhOQgghVuUIolhBEnnDuhpiU0sqU6P3kVSsn1tOA0mSJvVn97GOXaO5VN24dd8HaV/PNFIkg7WsMu8MHG8/8dKnAABXsaElzB848jGkqzHesau0v2eaZlPjiudbjYe/+R9IKh4zjk39oDSYP4hUOcIdr8UanVLn2Vf+BwDgFaTIunnXoR/FiWgvd7w2yaUmpFxqAiCEG3/15P8JAPiuW2pPv3vwxweOpt+y8K3SYxuXGie9lt+w635ZCMGpSnTFpHGIAOxsukUWdt+pEEGoxqRUz0TswNBtPQ9Ee/XBzqaztvpK9bnNmcaZ1rqzHLjht42/MUWEKkQXQnCiYI0qWHNbQT2a12DgMrs82zqfGonsUaJSAmKEAej+P9zxM3t+QzZoRI1JScGBOPW5uf82/+zGo9u/cSJj+c7/be9vYoKoXfc27bpfWXy+9LX6Sud6UhhDbGTUfHo0MtW7P3mbEpUSWlxOly43Tm1eaZ5ZP1d7yWn6td1rRTUmJ5KDxmTvwdRxs0ctGCkl11q3l9Yv1F/euFA/0Sxai5x130XJIXPiwPuHf0pLSBlEEX3pM1f/0/r52ondc6HF5VR8wBjrO5S6MzeVOEoVrFYX21eq862LxbO1F1obzorXDpq7ryV7U/zwvvcM/gRRsOa2/Hp6LDrt1L3y+rnai8kh86bEoDkh6cSMDxhj+X3JY+nR6C+VZ5s3LBP7+8B3RfD89ZfcPwcAgGQKZWxLdJoNXms0RK1e59VGnVdX19hSo8FfV5Ov7wcghBhRSXebm1f8VnnWbZQuM99rgV0MDw99O7TbG4hQ1W1sXqZaJC+biYH1lx/9tfbazOPbKgwlmhoLXatGtEiWB14HEaqqidw0UfQUAKAJAAByND1h9o7+QGv54leqMy9/JnTapcT4zT8aG9r3/tbK5cc2z33zd4JOY0VwHiJCNSM3cpeazE1vS+0FZwEPfdutr5/z2/XFwG4Wrc2lF6ke7Q3dTkVL9R7igdsOrOZqffbUZ+3y6gkAAIAI49Se296GiKTz0LOIGsnqshYPXataPvf07zr19fNUNXtSe277ONUiOQAEr189+WcCAKCm+g5DCJ8RQggIEYYIUcmMD2BZSwjOOVWNTOC0S7Wrp/7c3lx6ESt6Kn/0Hf8+MXbzjzSXL/6Nmiwc6GzMPYMlLSaZ8UGrtPh8pDBxf+Xy8//da5avqskuYaHEeiaFEIwHXscur5w0eyfuba/OPA4A2Hg9xwAAACxwW36nvowlJerU1s/KZmKIKEZ67Vt/9XN2eeUE1aOF9NSdPydHksOISgZEiAjOAoiJoqUKh5GkRAEAthBcAAAsImuSEIITPdrrNitX1UR2iih6ioe+vcOA91pHCgihWZi4Oza4732NpfN/rfcM3uo1NmeUaGoMU9ksvvjIL/lWc5UoekrvGbw1MX7kxwVnASREDpzOJgv8Tmzk4EMQ4fPfzkz6TbyOQBADBLHXqMwG7foSgBCtPvH5nw6sZlFJ5qbie458xC2vveK3G6vMdxpbQTcAAADOQh8i9CdACE70SE5JZqcA6LqOECNagJicccvF05HR6fdBiAnYSfAAIaziwjMIE1mKJIeY73f8VnXea5TnECbL7UzvQR74NpaUCDViBSwpEcmM94NtgieaGumszj5Vv/jSp6kRzZv9Ew+0Fi/+jbU2//RO4hQi/H8DIDgiVE4fuut9RNESscnDH0aYyMz32uVTT/52e+nyVwVjIZbky2pP/5HM0ft+2Vqd+2Zgt0tavusTAwB4/YNxzllgNYt+q75orc0/21m+/JgUTY1iRYvzwGt71Y0LbnntdOjZNaKZWS1TONxeuPA3WDVSaiq/39lcPSUZ0QJEmECEiZLKTYswcIhqZLCsxhAmEmOe7zer80iSTa2n/0hs/OAPEd3sESx0yy9/47ecSvEchAj5jcps4d6H/pBGEoNYVmM8DOzW4qWvAABOCM4CRKgqmfE+v11fhtHUyO6hCM58LKkxCBElipaChCpgVycHiJEkGAvsjeUXeRg4ndXZJzdPfP03eeC1zcE9D8YnDn3I3lw56TXKM0iSDdx9v8wDCAAiVEVGtMA8pxl2mkVEpOsW46hLHiPmOnUeeG0e+B0AAECSHCF6JF8988x/9ZrVOTmWHlcSPTeVXnjs3/nt+qttnSGEG3Zp+cVt76GgVV+qnX/hDyFEmJqxghzPTG6XpUmRxLDfKF/1G5WrciJz03XXgQlVzPQEIUqkXVt+UY/mCpIayXfLVwUXgjMIEYGISGHgNgEAbxrM/30AQiRC5gsgAI1rmaBhlwHvrocgRoRGtBQPmY9losnZ6ND6F176T2HH3TYRnzPGc7859LP3/TcpZfZyP3RpTMvQuJ5d+P3HP7HtbYMkcqVzufhC4taxd7dOLz+p9CbGiaHEa8/O/CUAgAsuQmwocdSwy+3zq8+ETXszff/0R52l8sPcZ6/66XnF+iyzvSZEELfOrDwFhOBKLjaCJCKn75u6ixhK3C3W5yBGWM7FRhonF74WtuxX1ROCCxE7MvxS6i17Pgw4Z0HFXiOqHDEnc7dAjJ5DEuE8YB5zgrY20nNIMBak7tnzoeLnX/pte7H8GrVi1yhdcISxFDadiltszGmDqSmsShEAQGP39nI2OpT/4LFfVPuTk26xPtc6s/ykkouPAggg90M3sq/vbiA4J4YSv/48gstJo1dKmwXmBhbsODURXiOJ7cXyOUSJHD00dH/QsDcBBJB7gQ13lPZwP/QgQZLggoXVTtEvt1aIocQhxRIA4FVSWulNjHOfuViVdABApvi5F/4vv9ZZV3LxEbUQH+chD4Qfusae3lvNqcLtQa2zQRN67rVz87cn/t2WXwcAvKHxheCCO3WvDAGETs3bLF2qnfoejvF3SmYkbkof6TmUv6e11LgMMSTUkGKKhJWg4zftkrXSXmldZV7o8JAHVJci1kZnafHRq39qb3RW/v+P/r1B6k1OCC5YUG6uAMYDf6M25y6WzoYtq5x6723/GlIiwS5R+IaANa1Nb2bpubBUnSWp+AC3nWawWZtnjfY6ABAKP3TdiwtP0Z7kKEnHh3jHqUmD+cMAgKs4ZmZJJjHkLxVPC9e3uOu3QcgCgCCCCBEIARSMh+6VpWdJMtpHc6lJAAGUBnIHIEZncTyapL2Zm/yVjXPCC2zueC2fc4YkqkKMv6eyuES/MabGpETPTbFDub3xm9WYnLr8+OrnJZ2YRMaqmVbz8QFj/KnfOfevAQDriCCSm0oc7j+cunPsnvy7U6ORqcaqNc985o3cmX174WDy9spc64KZUb/c3nSKu88XKxhDA0czYyzgvpaQM5MPFB7SYlJq9umNR9obzqrgghEZK5JBI0TGKoRdQxLFpPGeidiB4rnaC0ZayYcec7S4nN76XgAAAMKQ9EzE9lfm25cQQXT6Xf0/7ja9KkRwYft/ASGI+o+m7+ndlzyGJCRTjRhu068FTtjhTLC7fn7qkxvnay+98OmZT4IdCZ/kcGRy6p39b5NNGlWjUsJp+FUIAeyU3fUDPzj80+J9/GMvfnrmPyIMn+BMcD2lZDnj4cILm4+P3JF9e2rYvAlsrXm3rhWlx6P77/mX0/9CS8gZTBHNjMcOWDVvkwXcLxxI3nbwgyMfXz1dfe7sFxf+CCF4ju/oVoglrJz5y4U/kg0aHbkj+w4iYYUzwWIFfZiqRNu42DhZmWteSA6Zk/EBc/zgQ8OfoAr+hcBlN+wK+UbjuyJ4VlbCRQDAv39jLuUfECBEiEgaJpKOJDWqxLN7W6szX9st4IEQIRY4Tc4DV5aTcTmSGg7dTsVrVq5utbtekiPJ/0dLFQ45teJZopoZNZGbRpiqVI/ksKTGto9FtUg2sFrF6tWXP0NUPW1kB4/rPYO3t1YuPVo+/+zv7/JV8SBCD7eLM1/nQWAB0F1E5A4/YGFJjXVKC8/ZldVTVDWz0cGpd2upvkPrL3/11/1WZW6LyHh++0CSHu3T0n032+WVEwACSCQ1JkWSQ63lS19BhKp6uv8ogBAxz64Z+dG7AQBADbyO4CzAspbotpIHna4riBr12/XF0LHKAELIfKdZOv2NT7bXZr7RnS9YLp1+4pO9t7zzt/SegWN2ZfUVLd1/hAe+ZZdXTpr50XsaC2e/aJUWn++SRvBrodMu9d3+gU8hjGU5mhpzm+UZRKgm6bEC2CJ4XrcxdO8pZp5dAxAAWUkMSWZiyG2Ur/jt2hILPBsAMKMmcp/qv/ODf2CVFr+lxLN75UhqFGEsk0hyGHeP9SoEEBwIIQRnHtXMHkQkjXlOHSIiIYzp7lIqohrp5MTRjwoghJbuOyLCwBU89NRU4dD6ia/+qtssbz/8VhChZSM7eLxw+/t/329V59vFq99wG6VLeqb/qBLLTAAAvm/M8T8FQEwkiIjUuHTyf0BCFaN3+M7apRN/GtqdMgAAICqdi08e/hEaSQx6zeo8c21f6NFeRCV1u9sSorIeGdrzoBzPTAIIoVffvKKk8wcghAhACDkLPUQkFUmSDnYQgUAIRlQjTfVIHkmSIVjgQiJpAADAWRiomd5H04fu+VduZf2cW9u4RFQ9jST51Y4CSFZi3Pfaen7ouJzouQkAAJzS6sndpsjbJKEcS/cZ/ZMPYFmNAQgghBDxemXGWpl9cjuoZ75nxcYPnopNHPwQkpUo4SyAECItO3AMAPCF13v+t4J9jBU1jqikET2S0/NDxzdffuKTVnHh+Z3bRob27FNSuWmiR/KdldlvVNef/wMABJdi6TGiaHFIJcMprZzUCyN3KansVGC1NwDCEgCCc99tGX2j99gAQKs4/4zeO3wHhIgEVnNt6zo40Yw5p1I8RxQtEbQbK0AIrqZ694NtgqerhGoLzgLmOQ2A4HXvXsGY79Y2Ljrl4mke+paS6j0AYTeLBiAASFIiYX3zirU695SaLhwEEKLW/IUvb98fyYg9Gx3b/wG3VrosWOhtJR4U2FXrQKKZPUQzMk5p9SQLvA6k1z+nIMISc+0aUfWUFE2NiqUrXwOg23AAQAgRVUxzYPJtUiQx6JTXTu8kd7pz8FpZNNHMntj4gQ8SPZILrdY687021SM5ACEEEBEe2DWi6ElEiMTDrhSeSFoi0Tv1HggQthprp8308O2KnhgGQHAAIAZAcM6Zr0Vz0yz0/iPYoWB4E28cBGMB90OPdby6NVt6BclUf1XBgxD2a511b6OxQEw1QWN6hjn+dcSbvbB5rv7i3CPRgwNvcdcbc1LS7GVu0PE3W8vXzsGDoGath223JqXNPmLIMayafdtEJ6JYwapkBA17U8nHRpBCDazLUWe1dpkH13yceMjC4Z97YIEmjLxbrM/qY9lDesoskKcvJ+RsbCioW6Ww5VSY47doQs8F1U6RB9d7UnkbzQXWdhuh5TUF44FgPFD6kjdteVMI7nZbudO4lpF7ooNIobpXai7eePYgBAIIETBf7UtM0ISehQRTYipxsIvgkdORQuFHjv8SNuRY46W5R5ntNY3J3C1YIVr7/OozQAAhpyN9WFdirONdt6/ggvnVzppbai7IabPPjBWOS+lI347vRe49N5+J3TLyINblKJKJFrZhDSL0qhIcIogE4wGAAOpj2ZuRTFSsK1FEsQx2EDxYpXr16ct/gWWqZ99788/TqJZunFx4LGw61aDpVGnCyAYNu1R58uJnhR86SKG6t964LqP/DxGCCx46zFITcoYz/n1JkOk9Rv/m6fWnEUYkfSB7B1GIZvbHxjdPrX9TTWl5iBFFBJHYSGJfe7lxpXJ+83lEkIQoomCHJ9PrCW57zdKffeNXiKklpUJywlsqX8CGEqPpaL/wmQsxopCg16hCX7fzd+yaferyw9F33P6vuOO2wmpzxXrx/BcAAABJVHXOz36du37bvbz4tHnv0Y8Hpeos0rvqNcE5Q6ockQfzh/y1zYvOudnHuOO1AUZEeL4lPN9yzs99XYShBxgPzfuOfYJVGytIkXQAIQKcMyhRTR7IHwyrjaX2Uyf/X267TYAQFkHwPVWsBB5zqvPtS9WF9uXkkHlTYsicPPTQyM+oMSk5+831L0MAoOCCcdb15ey/OX3XvvcOfqy1bi3NfGPtrzZnGmfVqJSI5rUBrxO2mmv2opFW8/vfP/RTsk5/27OCboIGQZTblzy25219dzfWrIVIVu0rHEgd9+2gs3Gx8fLQrT33SzqJUBVrekrJNlatBRZyfzvhTWSkIAopC3l49cn1v47k1QG34VXFDisWIYDwndDqlJ2iYCKsLnauBA6zXiV3MEQDxzL3Tr1r4Mesirvhd8IWwogkBs2J6kL7Us9E9MDyS+VvaHEpnZtK3IIwnONM8MSAOXbLR8d/gTMRWhV3I3CYnRqJ7G2t20uRvDZgVdyNVtFeGr+39/0rpyrPAABct+HXogV9uHS58UpghR3JoJGd854ei07f/vE9/5aHIrjy+NrnJ+8vfBBRSNUoTYSukm+XnJXWhrMS7zfGbv+ZPf/uqf987t8AAK5s709kpKRGI1NWxd0IXGaFHnMghMjMqL0AQbT2SuW5WL8xumWcvlI4mDrec1P8MNjRUOPvE//oDZHfGHQDKx76lpbM74cIUx64HbCrMFFwFoaOVZaM+IASy0yErlVFRFK3MqcAAAD8TmOlvnD2i0Z28DanWjzD9GghsJpFDfQewJIS6Z4NwfjowbgQnMlmckRLFw4DAQTEVG4uXXzkRqa5W4HY9a77gW8DiLCZH71Hz/TfAjFVYkP73l+bOfGnXvOauetOUDPRHx2YepfXKF2yK6uneBg4dnn1FNWjBSWRm8ZUNgFEmGpmj+As0DL9R5V4do/XrMzx0O8gSTEBAB3YLRtLQoQliBCRE9lpACHqlrZtXbMQAiL8cvn807+XPXT/r2nJwiG/XVsAQnAtVThI9WjeqRbPbD9chBACUWnGa1fn1Hhuqlpa/JaRHbrdyA3f0Zg//XkI4UkhhHi9xgBAVxQQOp1NqkfzciQ9GjqdTSKrcSyr0e1xeM3yTHPp4iNqIr/Pa1ZmiawnLatVVBPZKbR1T6/dKMEFZwGmshHYrfXAbq0T1cggQjWIqQJ2qDIAAEBLFQ5LRnygvT73lNfYvEL1WCE+vP8HWyuXv+o1N2euOzQLvdbqzNcS40d+3K6sngIACAAEgIjIarL3IITw4htRGvMmukBUMrDgHECI5FhqlIehy5xrmWAe+E7P0fs2gRBcjqfH5WhqpOuRRGQAgENUPZHYe/TH1EzhsGDM7xIJY/cSRU+0Fy9/FSJEIkN7HkSSbILd91Fwvq0gZL7b0rL9R7GsXPuN1koXIUQIy0pUMmJ9TnnttOA8gAhhwTmDmMgQYbL9PysEDwULvm2WgRqRPKKS3lq48GWEiazlBm8LOo213c+moF1fDlq1pbDTWmO+25ZiqVEllZ+GCH/pO3W/+54gBA/szmZoNdeMwshdWNFTiEq6W904t3tTohrp+sWXP8NZ4MUmDn2ofvGlT/uN6hzznAYiVFWSuWlEZd0pr51mdmeTcxaAbgALkazGmOs0/EblKlGNNFH1tL2+9AJznVezySII7NBqbSjxnsnW/PmHISKSkuk9CCGCciLjsMDrAABhaLU3pKG973zVQHkbEAAlkd0TWq0ikpQIppIOXg28ICKqnoQIEyQpESWdP9CaO/+lnQq90LNr3O+W++q9w3fI0dSIvblyEkDUVQEJzvxWfclvVmYRoQrRzB6IMN6+J4KFHqKyDgAQod0ubXdnhBARIHhINKNnex6ttfnrSlp3A0II5XhmIrnv+CcQoQrEWAZCcL135C4e+rZTWjmhJHtuEjw93r22a/uy0LOs2upJiLDEOfPtZvEcDz1rx1YQYapCCFHo2//o1cL/aMAFF4z7UtosiID5QdOpvLoewhBjlerYUOJIoRpAEMEuIXBt94D56bfsXQitbEvtjY8RU024xfosD6/9hgXjPHHbWB0bcowm9GxoeU2aMHJbgaMPJaJ0DV5DlxNEMOgaPGOZ6hBBuFM5YS+Uz6NiY65bTuVbUsooYFUyIII4qFsld61+VcpE+nkQepBgaff+3A0se6lyPmy7NW0gNeUW63OQErlL1gjAvdAO224N63LML7WWsERVZrmvUeMAAABEECOFanLa7PfL7RV7oXLeGCcqiagpAMDC9nZYk82+Hz3+81iTzPLj5z+jFhITSKZ62PEalScu/nn6/qmPbJMxSi42HLTs60tDuODcCx2sSxFiqAkRMJdo8nXrEWe1diV2y8iDYcuuqH3JSaLLUYivkc2QYhmrkqn1p/YELacatOyKFDeySKYqAKC1c1jRg4P3qr3xMRpVU3AwNR3UrZJXbq+IkAXcD217YfNc2PEaQa2z7lc7xaBp36ik6R8UfDtsn/+r+T+GCGLmf3+y7kavORwdSUwrSS1bv1w+WT698XToMsvoi4y6Dbd89lMnfol5oWMUIqO5Y4UHtB69HwjA1bTeC3b8nl5PiJAH3PU7xp1TP0TT0QEkUQ2barLxxOlPaxN9t5KImgICvGEdM4UQgmYSEMqSzhrtDUjIdWQSjplZfc/whyDGFOtqHGSSI9xxWwAAwGrNFefc7OPyQO6AMjl0pzTYe9BfLL7inJ15LFivzggAADa1lLJn6G6kKlFsaEkIARIh8wCAkLWtinP6yt/I4wPHpcH8ocSHM3v85Y2zzpmZr/rF8qXvaTxc8L6bU3fbNa/sO2FHcMGYz72VU5VnVk9Vnon3G6OSQSPM555sStG3/trBn4zm9UHfClqyIcWoinWr6pWcZlBLj0f3GxmlV3DAvE7QSo1FpsFWEt/IqPnxe3LvxhRJZo9SaK07S2pcSgshhG9bHeYz78rzpS9AAIDT8uvJIXMSYUTRVomWAEAggmjghB1MIM2MRadnHl/74m6VmuCCdUvLSExPyJnAu/a/E+3Vh2756MQvCibC1pq9uHGxfjI9Ht1XX+5c1VNytrrYudxat5f7j6TvgQggAAAkMpbv+hdTH89MRPdvXGyc3JxpnjHSSt5peFUsYZmqWFuaaZ7V4nJaidIE3DL896ygyUMRKBEpTmSsEAkp29ehRqX4sZ+Y+NClr65+DlNI02PRaS0pZyqz7Qv15fZVTLskqdP0q87ZaiW7J37z9HsGP0ok/Guh/2oCAMo6jdhVr+RbQTs1Etlbp53ZuafXH9EScmboePatzGdedaF9GSGI1JiU6N2fuBUi+LzYoQT6+8KbBM8NITgQnBHVzHbW55+WIumx3V1PAOhmkJEkRyQzPmBtLr2EqGwo8dxeiDC5diQWqon8s8mJoz9BtWgeQEgQpnJ3napEYTebiRGVTSAEp3qs4NY3L2npvpt56FvhDTptfTtwHvpOrXgmsFrrenboOMRYgpjIXqtyQ48DiBBKjB4esMsrJ+zy8gkllpnkYeA0F858PrRa63IsM0EULck8p673DBwTnIUIEwURSetmhhGBEHXHihBmrl0P7NY6UfQkD7w2IlQRu9rxCs5CiPBfRwem3i3H0uPMdxqd9blvxkYOPhRYzeLugJEHvl247b2VQGlvAogw85xG0GmsbnfiggiFr9sYAACAswAreoqqZs7amH+OqGaPFEkOAXgty8VZ6OuZga/33/XQH0l6rA9R2YAIEQAhxPRakH1toiFEVDaJoqeVWM8kABBiWYtjKptgV4mBnh2+3WtV50KnXdLSfTcTRU9hWY167er87m4zQgihJvNLgd1al4xYX+gQmbPQEyz0tXThcHPx3JfAd2iz+Sb+btgmZaKj0+9TEtm9rcVLXxHiegUMopKmpHI8awgJAAAgAElEQVR7/WZ1ASJMhBCc+W4bUUlLH7zr42qmcKhx5dT/JEa0VwS+rfcO32EVF541ByYe8BqVWayocSCE2C6ZefXcQrDQbpeAKrisR/IQU4WoZmb7ex6Gfu62t88r6cJBAACQ45mxoNNc21KFMISJBBGi9vriC2qmcKCrILr2G98JCCGMDE/FeeBbQAiBJCUiOGc88F5jqMh8t+nWNy8DCKAUTQ6LMHAQlQxEyBvSYYMHXturb14RnAUkDD2IsbTbwBgAACBCVAjOtezgMSXRc1PmyL3/u72+9EJgtza2FHa+W159JbStcuh0Ksxz6tx3W11NH1F46NtyLDUqOGeISrrgPNwqw+xeBwscv1Wbb82fbwoABNUjWSmSGMKKluSh74R2pyw48+VEz00QIYK7pPK1efPclhA8ZJ5T7xJwmMIuEQgAACJ07Qaikh7fc+QjSiw93rjyymd3j5GoZsYojN7NA98iupkVQWADzkKAiYSobPCgU0KSEg06jVVqRHshxjIAwO7Oo28FrdpS0G6sEM3MbStDIYQIYapy3205lfWzkhnvQ4TIu8993XXokVzm6P2/Gtqtdau4ehJAiCUz3h9YzWJod0rm0J4H3fLaaTmembBLKy/vfK51iTDw6I7DPQl2dEB6E98fQIolYioJJFHVb7dWu4qOrS5aEKKtzloUq9SAGBESUZO7j8H90AVcsKBhb0rpSN+OEq5r23ihAxEiWJMjYdupYlUySNdHpoMkogAIEYnrPWHbrUGCSVBpryn9ycku+QKuBeQCCBrVUhBBTCJaGiKEecA8d61+NbK//x4hhPBKzaWw6ZTNPflba89d+Uuw5akCEYTaUCYVtt0ajappv9pe5QFziUTkbsgDheCCa4PpaZrQc7Vnr3yROV6bB9f7al2bPNDtuhAwl3mBLaXNPmwoMRrTrutUpxYSE9HDw29llttI3b3nQ0HLLiOZ6mt/9ty/9cqttcGP3/sQ91wHki45vLtEC8lEjR0deYe7WrsiQuYHDWtzt6rCr7TXvPXGXFC3N2lM76EJPQvxtfUPhBAKxkPmBbbggsvpSAEbShzJRNt5HGe5ein7zoOfgBTL7fOrz0CCpOozV77QPLX4+G4V6G7/nn/I2Apc37BOUH8bKEkt6zXcshxVklc+d/5328vNGSxh1RyMTcZGEtORgehk6eXiE42Z6ivD75r4GKZE0bNGf+lk8UnwuhM8QgjOGaRYJjGjp/ncxc9DihWkSHr0jr0/FL1z6kNyITkZNqySeKMVTwgipKsJwHgYNrb8sjDC+tGpd8kTg3dAAABrdTZ5x6qSnuQY3PIE4q5vI1X+C39546y6b+x+2pMYpb3pPcp4//HmV577z0hX4uqBibdBACFrd8qs0V6n+fRkV2kKgAhCD8nSI0GxfFndN/5Wmk9PkkxiJPbee3619cSJ/w4x+sZ32x7e6wQtrx3UY336MJGwGjihVZ5tnnNbQV0AIBCGpHi29kLghc7YXfl3hh53O5tO0Uip+cZaZ/7kZ2f/S2vdXqYq0W/7yclf1lNKbvnl8lMAABjNav0QwRcQgvjIj439sF33y1bVLaVGInszk9FDdt0rv/zns7/ndYIWIpB2ym6RB9wnCtZWTlaezkzE9m+TETzspq6AAMJu+BWr6m2GPr+e+BRAhC53MEWS0/SrRprlxJbyCCIIx+7JTzOPud/6g8u/0Vy3lw/+4NBPSzqNnH1q8eHaYvsKC3lIZCzXlztX7ZpXFhxwI6XkksPmTc//4ZXfLJ6rvThwS/oH8tOJWy78zfKfrZ6qPhu4oQMRhPGCPqKnlCwL+ZYCGCtqTEpBDLHbCZqhx53t69j7jv4He/bEDwcuc3omYwebRWtx+cXyk6e/uPAHjZXOHNWIfvyf3/TryUFjkjMRVBfal80etTc1EtkLAHhla6zcqrqlwGV2Y9Wej/bqQ7PfXP/yyc/O/j6miO5779DHho/3vDVwmZUajuxVolIyMWhOSirRwfehnPxNgucGEJyHfru+5LWq84gQhflOgwVe+zUvKcGZWy9d9JqVmUhh4q2C8wATqlHVyOzczGuVZ/12bZ5qZs6tly4iKptqMr+PKHqy+/oDECEiQYwlRCWdh75NFD2NyHdZ0yoED+12qbV65TGAEKaamSOyFg9du3rjHbqt3p3yyklEJF2OdjOq8sbCs0TWU4hQlXlOg6hGBlHZdOuli82lCw8DAABRjAxECDO/y5IjTBQhWNBt5x3vhwjT7TbBr51fFmYP3ncZEqralbVXuq3Gk6NWaeFbN9qeeXaN6tG8mszv91vV+dCzq0Q1MxBhIphgr9cYutfGA6e69kpgNVbM3vF7OQscIqsJsqOTEAAAOLX1c4HdWgcQYrdRuoSopKuJ/H6saInrZxgiCBFhgdfRMv1HMZVNRCQNQkS2/HquKzGQo+kxImsJouhpv1NfhpjInIV+6Fg3zH7x0He8RvmKWy9dQpJsYCrpiFCVapEcIlQDbxI8bxiY77akaGo4dO2a4DxAhF4X+EIIYf6u9+iB1VrvrFx9YrvjkeCcaT19N0VH970v6DTXjIHJB/xmZY5GkiOV08/8Xmh3ynI8PeE3q/MySI5ADdPX+LFARKR4ZlAwFoROpxy0agtbAfur8Fq1RQAhYr7bMvsn7kOEKgAhAgDwme+1AQCAeU7DrZYuUTM+AL9N4C6EEHrvcLWbd2KBWymelWOpcWrG+xGhCg+vKX8gwrJXLV2UoslhwUPf3th4ERKqfjvy6O8EIbhgLFB7+o9K0dRwe/78w0iSjRsFE6FrVXr23/4JrGjJoNNcC6zWeu3iS5/2GuWZLZVdKDgPAWcBD0NXsMAVQgiECYUYS6HV3gg6zTUsq/HQtWtEj2S31VAAdAVV8cmb63IsNRZYzXUkySbCRIEIERGGTmA1V6kZ6+ssX3kcS7IpRVNjAIBX/R2477aA4BxJShRJskkjiaEtArhLikMIiaInuec0AMIYInTduxtChCEmslvduBA6nU1THr8vcNqbQgiBCAVb3jqWVytdpGasT5Zz0wgTCWwRPIhKupLKTQOECVa0xPbxhRAsdDrl0LVrzLWqzubqKSRfKy2+ESJDe96hpLJTXh1LW/Ma8MC3ayee+A9Ej+SURM8ev1mbp3o0D4Dg/5gCwH+qQJQoxFQT7lp9lsb1HkgQhajb5EFwwf1Ke1UwHoYttyYYD2lUS+0+BtblCNblKGzYmwBBzP3wNQoJHjDXWaleYpbXUvuSN0GKZSRTDYAugQEgAMzymggjyV2pXim33bo5mT8mp81+AMAMxAjJ2djw4E/dcz8PecAZvwIlLPOQByJkQfOVxa/Hjgy/lehyxC01l6yrGydjR0cf7P3h234ldnjoEeYGVvy28Wzs8OB9POC+X7PWEcESjappt9RcEgJwIARCBEvacHp/85XFx73N1lKXdLlxa2ER8oA7fkd0VQ4Cy0TFmmTSqH7dOhEbcpQ5fhtiRJnjt7EmR5qvLD7hV9pFiBAa/MS9RO6JDkKCKcCIaMOZ/QCAbmttIQR3Azts2mUeMD+sdoo8CF0k0+tKMbkfupBiBQjBw5ZT1QbTU5BcM1xntt8GXDDuhQ6SiQIxIlJCz20peF6Fs1y5WH125oteqbmIJKJqQ+npxB0T7w9qnXUa09dpXM8imagQIRw7OpLQR3rW7MXyue82EP6niOqF8ks9h3N3+x2/0U1CQqSktByWibr0+Pzneu8afI+cUDNuxV5X4mpm7Zmlh7NHC/e9EQoB7vgdd27jlHls4j25j93/O9zxW4KxEGJMIcGSlIr2s7ZTdec3XmEd541VVPKu3QGAAGFTS0JKZKTIqjxSOIINNWG9eP7z/vLGGXm494g0kD/IIYRIogrAiOKo2RMUNy+xWnPFvO/YzwrXa4uInpbHB25DqhQh8UjeeuHcX3gLa6doT3JEHi4cAUJwJFEVyRLBcTMfbNYXwqdP/Yl59+GPAYQw79hVqT+7z7u69C3wXa6zA4d1BBN8/tnSV2vLnZn0SGSq92Dy+MwTxb+sLbWvblyon+QhD6hM1MFbM/dHe7XBtVeqz5o9ap8SkRIHPjD80xBDosWllJFW80ZayUV79aH6cudq6WL9JJGwYvaoBUyxfPWp4sPxPn24U3GLskGj5x6e/ZPi2eqLAAAQyWqliXt73+82/Xp+OnFsqyws3C4NYwEP1Jic1FNKrqsmolG0w7OrCwGcplddfaXyrBaXM6mR6F5EuusHiCDSk3J2+WTlaaJgdfL+wgeNjNp78n/O/ded5sNbxuuvxn+Fg6nexqo1X1/uXJ24r/f90bw2uPBc6avLL5Wf3Dad3iJjZ7c+AAAAiIK10GM2wpDG+4yRjYv1kwAAYGbU3uHj2be2N5xViCC2qu6GmdX6nv4vF365ttTeFkC0h45nv3bvL+7/vY2L9ZchgkhLyJne/YnbEEFnedh9dnU23bVm0VrM7okdDlxmq1EpsT1XsYL+WGY8uq8y27og6yRCZKRocTlFNWKANwmefxiAECKqR3uN3PCdnfX5p6lqZG7UdQQACKgWycnR9Hg32Ag9Hvo2xETZuRUPA7f36IMLEELiNctXlXh2L5G1JJJkE8BugxQAAQRCcOY7Tb9dnedh/1FKYoUtf5i/lbRViK4Bc2rPrf9cjqRGqpdf+EPJTAzeKNO+DUQkLTFx9KMQE5l5VrWxcO5LseF9H4AIU6e2cR5RSQdCMLdRuoKIpCuxnr2CMy+wW+vttZkn2FZZAEREkfRYX3Rw33u9VmVO6EJgSTEBvPF5vXZtMTa0732R/sm38TCwiaInQ8e6oRs985x6YLXWQ7u1ocR6buJh4GBFS4Ku8sZ7vcawfVMlIz6gJHLTgoWeEIhzFroQXR/88tB3+u/4wQVEJNVrVebURH4aS2p0OyjbcTiEJTVKFDVhba68JDjzvVZ1PjV5yz/DVNm1LQAQQuI2N2d44LcF5yEPvDZCmGJZuWFQBQGETrV4lrPAUdOFQ5Ie63Nr6+cAhAgi8obVRL8JAAKrVZSiiUGqmVkBhJCiqdGdhAdW9CSWtYRVnH8GEarK8cx4c+78XwEAAFb1FIAQSfH0mL25egpR2bA2lp63SyuniGqkEJUNo2/0HkQkHUmSTjUzC65l5wTERNIyfUcCq7kWdBqrPPQdtOu5E3aaq2oyNyWE4IHV3kCSEt0uDQrajRWaG7hVy/YfDaz2ht+qLRLN7AFb3U1eM9Z2Yzm02iUgBONh4LSXZx6Pjky9OzZ5+MNYkv8X8z2LqHoiOrr/KI3EBwBCOOi01qRocjiw2usi/N5q1b8ThBAcUUnHqp50K2tnArtd2iqreg3s4uK37I3lE8x3m4CHgZzI7ZVjqVGrOP/Mth8SAF1ftW43KIRB11MGYlmNQiJpzHdbPAyczuLlr2r54du3TKsXAAAAYSKlDt3dhyU1piSye4iiJbeN4QFEKLRa64KxEBGqBVZr3RyYfAAr2mPMtRsAAMA584N2Y5lqZk/o2nURBjZW9TQA3YRDYLXXiaqnEZUNiLEsmfEBCOHZbWJEiiaGeejbQaexQo1YASBM/GZt6/ciAKJUg9igWm7gGKKSLkXiAzvfaVhWo4Lz0G+Ur+ItkgkAALjvtpnvtalmZnB+6Ha/XV9WpOxeomjx0L1xiZQUSQwBLpgcz0xYq7NPyYmeyebVM5/3241VNZ1PUDPeb1BZp3okL3joI0n+vix+3sTfHlDCsuCCM9tr85D5Si42suVHAwQXTEroubDpVMKOWw8adpmYymsUPBAj2rmyfoJteeyALVn9ToiQ+UihBlaowb3AhlBLb5sAb/nWJIKatUETelZKR/o6l4svxo+NvrPwo7f/evzY6GfT901l0vdPf4RGtXT5sXOf7lzdOGldLr4UPTh4r2A8dNcbC5n7px9O3Tv1Y+L00jcgwVLYtDcjU313RKb67nBWq1fs+fIZZ7U+QyNKUs5EBtz1xpysRnVrZuMEYJwBhJHoEiQVEfJQH8/ejBRqIHqjNSIA3AscZ61+FUfUpLtWv8r90KEJI2fsyd8aPzZW8cutFWuudCZsOVXBWBBaXsuvddbjx0bf6SyUz6sDqT1qX2LSGM8eseY2TzPX70CCJG0wPY012WR2l6wHsKvQ8evWhjmZv4WYatLb4XG0PcXEVBJBQyphXY5CgiSsSq+uQ4K6VfKr7WLYdmphx6uLbHRI6Y2PR/f3/0DitrHRzpWNE361vc790G2fW3kaSkTlXmhjQ4kZCSOXesveHxEh87GuRLEmRcKWUyOGEuOMB8t/9OQvghuYSr+J6wEhgE7VKYlNa9UsREZbi/VLTsVZ13PmoByTk53V1mxqb+YWsz860VxoXIAQIqrRCPPY6/6OZW2ntvm5p/8P+8rq89hQ4twLHWY5ddZx67zjNrb/DjtOjTuvrXJ4PSHC0AurjSUgACDp+KB+ZO973YvzTwnOOVJlU50auZek44NIk6Pbbczl8YHjAAgQfdvxn3fOzT7OO04NEkwFhJB7gc1tpwEJlpFMdWVy8C6SiPZBjAikRA6K5cvy+MDtvGNXo++889+4M0vPsXq7iFQlwj3fEl5gCc+3vt2a4zsh9JgTuMyK9mqDkazaN3Jn7sHi2doLpSuN09tEAgAARPN6RjZopFW0lxIDxsTa2drzl7668rlorz4UyWp9kkaMzET0APO5lx6PTGOKpPaGvYIopPEBY8xt+TWqYq1dcteye+I3O02/Up1vvVpW1tqwVw/90EggmzRanmmeseteJT0enRa8S/DwUASBG9pOw69U5loX4/3GmGyQ11QpIIJovE8f4RzwwGU2IrD7zIYAERkraoTGMxPRA7JJYxBB3CrZ39EQXNKJCQQQA7dk7gUAiHi/MXbp0ZX/tU3ufDtADDFngmlxOQUggKHLbAAASAwaE0qExitzrQtmj1rI7okf2rzSONPasK97PpZnmufcpl+DCGIiI7Vdctaye+M3y4+uRAAAdSEEV6JSPJLXBkKXOW7Tq4Y7/Nsaq9bCPf9yuj18e8/bOmW32FyzFwAQAEtvnD/Vd8KbBM+NABHGkhJxG5uXQ7dT9tq1BUxkfXemEStaMj60/wN2be1M4Ha9WjgLXYRfmwn3O7UlJClmu3j1CYix1FqFsEveQCA4Z6Fn1/x2bTHoNFbURH5fZ33+aQGAIKqRAgAs/m0uW3AWYEVL+O36UjewgBgIILbaCd9gByF8q1n0O7VFe3P5RSxrSQAhEkKwyvlnPuV36suCMZ/z0Bfd0h+Xh4Gz3Qb+uimDEAZOe8PaWHhOSeameejbACG65TPzGukywlgKPavq1jbOS5HksOA8ZL5du9FlssBtSXq0N+jUFgO7WdRzw3cEVnMNIkRezzEAAADVo/no4NR73PrGhdB3mljRk4Ix/zWeGQAAv1NfQkTSrY2F57pKHdgttXvtbXE4k3wAIKKqkTWyw3dSI9a/0/R2G4HdKirx7F6/VZ3jgdcOrGYx9Oy60TN0G5bVLzLvOjIKQEJVzkJHjqXHZTM57NY3LvhWY0WJZ6d2qz7exOsL5tl15thVr755BVXXzxn94/dqPf1HEJVeRlQy4nuOfoRo3Y5NIpXfHzpW1WuUZwDoKjaY57b8zdVTfrMyG584/GFrbe5pohlpOZ4Zx7Iaay/PfJ2oehJRyZBTuWmwTfCIrvLG3lw5EbTrK1IkMQgxUcCO0tBtyMnsXrdSPNtVZUB8jeCpLRlH7/uVlu+2OGMe4CyIjR14SMv0gcBqFoEQHMlqTE3n91tr88+GjrXWXrr8WGR47zv9uXNfIqqeBAKI1L7jPxMb3f+B/vt/uJQ9/mCAMJG8RnkWEUkLnU6Z6pGcW10/v7u88PWB4IhSDRGqiTB01XTvQURl40Zbhq5day9cfMRvVRcgwlQv2BW1p+/mWBi4ib23CCXRswcrWqJw70OQqHqqduHFP4YIPQIRhljW4n6ruhha7XUllZ0OOs015tm12OThH6FG9I8B52Fs8vCDsfEDD3m10uXAbq37rdqClh+6nYeBDQCAXq10OTIy/R5EZQ1hrEiR+EBq320fp0b0M9xzm1gz4kIIHjqdMsRECe1OheqRHggRghiHzHMaPPA6zHObfqu2oBdG7nIqxTOI0A1qxgfTh+/+WcB5aA5MPICIpDmV4hm2rfoTQHjN6lzQbqwCCACmSgRiKnd9eFBVcM6QpER56Nvdjn9mFktdzzHmuy3BAtccnHxb4+qZL2x1GIvHJg9/WI6lvsJ8rw0hxHI8MwExlqzVuW8mpm/bYL7bstbmnkZE0qgRLQjOGdUjPUbf+DT33VZr/sIjSjK7RwjOqREtAAC+Jy+D7zcwohpBkokglkLut0Put4TgHEFMKVbiBEkRLrjPReAEzK1zwUOKlZhMjByGRFVIpE8Aztpe+bwbtpa2OlIigqgBAaIQIswFDxj32gAAIROzACFEbtBe5YIFMtF7EMTUZ04NAMEIkqMAAMAF8yCARIBu9zEEqQq6r2kUMq8Z8mvBGEZUpVhJYEhVJkKXcb8TsOvLpxAlspwx+yEAgDMeYk0ywZaCBzAeYk2OBHWrBAAAIghdcgMFD+CC++X2CpKwDCFEO4mFbQjGGZKpyt3ADsrtFWIosW2CR4QsCFvdsi17rvT/sffmQXKc55nnd+VZWffV9924TwIEb1IkRdESJUqyRpZGY1uzM+tZzyrCs+O1YzfCnp1dj2cnvGNbsbP2WOOxwrZkybIl66BEifcJAgQBEHej0fdd3XVX5Z35HftHVYONJkBCFCVRVv8iKhDdqMr8MrM6M783n/d5zkqJSC4y2nGo+tL417Xe9M6uf3LktwTjoTtfGStPXjoNMMLxQwMPRQZz++onZ55gTtAEAIDK0Ylv4ogSN3Z03RZW7VVrcvV1rMuGnIx0UtOr+oX6jLGr6w6IsWReWHwRR5R48+Liy9bl5eNCCIFkAoEQwivUZ0hUTSn5eD/WZAOp16plrm4TFzwylDuWPDL8IbUzPhQ23BJ3AysynDsQGem4xZ5cPY115bchRvPeYvWKYDwMyuayeXHpaPKubR9P3bP9E7ThlOunZp8gMS0b3dVzZ/3k9A+IoaZ6f+Xu/zPzwO5TUkJ/HutKHEpYxqpsNM8tvGDs6LpN8DdPiMKavRqUmouAC652JUdw5A2fHk5ZmLl/1zPZh/f9i+bZued4wPywZq9mHtrzWSQRpfDNk38MCf4bwQVVOxOlzl+89Tet8ZVXpbiWCet2kXmh3fb9gc0Liy95S9UJORPt1nrTO7fuR24Or+YWEyOpfVbJXsrsy9+1emLpqfL51aP5Q533h3bYTG3P3AIAgCuvLHwvsMIGkpBcm6i8Hm4y3X43aM93rlFJ/LTgllsNZldOSz35Paxurhj33vLPw5XSuD+9dAIIILjtVqXOzPawUL4CGAvkvs79OBnr8meWT9FyYwHKRFVGem8PV4pjKGbkcTLaaZ+4+HWcjHbhiJpkllslueQgLdZmuOM1pJ78HpQwOvypxRO02lyGAEB1tO+OcLU8gTQ1jtPxXvfi1DPiOkrEt4OFPLRKXoEzwXLb4vtiXXr/5ScWvwY2edtgCcnVWfNKbcmePvipof/5lk8NfS6a13or0+YYozzEMlJ9izZmX1l9YuaV1ScAAKC+ZM9Qn3taTE4JLnisQ+/T4nIq0R0ZKk02zrNNLVbNgjM/en/Xxy5+d+FLsk4MLCF5XcEjGKecilBPKTk9reQTvZFhLaGkN3qWCQEEIlAiKtFrC9aUGpWSRMFXHzbKOokqUSlRmm5ejGTUDhZwH4jNkUXXQhSsqnEp6TWDmpaQU5yKkHPwtuq/wKZm6FCrcKl2So3LaepzDyKIdn2wN6/G5BT1meubQY0FLHDrQYV61xZFnZpfsspeoTpvTugJJRPNqV0AQkRUogMAaoIDbpXdVeeKfy7ZZ4x07U/dGe+KDGxcxtp44+yBT6SOQAiRllQy1GMOfpPq6SfDVoHnOkAEiWQk+oQQggVeQ093HzCXrjzd7jlvfzGFYL5bb65e+h717LLRNXKf4IJCRBSIiQIhQhv9OELPLhqakY/kB+6UIokePdNziNPAAQBAITiLdo8uK4P7PxnpGLyL+U5NNhK9fr04ocQyoxDjc2JT2hJsmWeKjT4QgjFfT3cfREhSGwuXHuM09FoeM29+UtbaAs6VWPqE3yxPm4XplyQtmgcQIoSJQrRo3lyeeIZuLigghIgaySrxjBGY1bn1FgXOqNeaIHBOHXMNK1oSQoQlzciDdhT8Roge7SBqJIsVPYWJHIEIS5y+ueACQGuS4Tcr025tdSzave1BhIjcNqiG7+Y2ACE49exKffbcNyCAKJIfuANwTiEmauuYXlvgC12rGO0auV/P9R+RjVS/lu7a7zcr05v2MeNhYJNEfidR9aQQQoROsyAZ8R4sa8nNyzSXJ55JDO77RU4Dyy0vnYGYKNS1irHeHR9MFueOIyJ9ZV0hQhQtnhw9fJ8cTQ4gLGmNuQvfQkTStWTnXtFup7ne/tzi3YEHXgMgiAOrvqQks9uoY5XS++7612TmwneUZH6n0TN8HyKSqnX03Uodq1g5d/RPRPvYhVZjmTpmwV6eedldWzqtJDKjarpjt9G77f1Ei2TswuwxNZXboeV7Dzemzn9TTXXs0jv6C9S1ShDCZSTJEeY5NSxr8VZRWVJaSUNvIIAQXqVw0a+Xp5RkbhsksrbeehM0a/P20uRzsaE9H2kVnooTCBE5f+cHf595doV5bk0w6rf9dsLG1PlvI0n5eyWZ257adeR/sJamnrdXZo5KRqKnlVDn1hrTF74tJzIjRvfwfaFZW0CSYgRmbdGcu/yD6+2/HxkBAKeh6xfmjhM9mudhYCFCtM3nXgDaXmi5nsXY8N6P+7XShJrK7+JhYGuZrr2chi7nLLDnLj9OHbOoZboPIEmOrKdYcRq61HOqzMngvjAAACAASURBVHeqztrSKayocR4GTqRr8C41ld+JJCVC9GiHvTJ3zF1beI065pqSyu8Km9W5dT8KLddzLjqw84MACEA9pxLMjz+pZbsPdtz5yP8dWvUlHgYWxERBkqxT165gRUu0VIqt8zQPfRMrWpLajRWsqAms6Insoft/y16efsno3faQmu7cDRGSiB7t8BuVKbPlB7VuVs/a5+S44Ixi3chIRrwnd+Sh3y2fe/n/gwgdj4/sixPNyMrRZD/z3RqWZaO13zhTU/nHIt3D96Z23/4v/draOPPdmpbt3q939N8OIIRhs7YAMZawoiXc0spZr7xyLtI9dK+9PP0iDwNLisZ7jN7RB9R0fjcQgtmFueOxod0fgYSo9uL081qu77Ce61EDs7ZAXfsG7cTvPVQS7eowtj8QkVM7VCnW64aN+eXGhb/EiBSSWs+daX3gwZwx8qhLm/MNd+VEzV16BUL4Qk9s3yfSkcEPqNjoYoK6XISuS83FxfqZLwAALmpSrD9vbP9FguS4SoyugLmlojX1XTdszO/IPvBHAAAwXnr2fwEALPUmDv66LiWGFutnvkB50OyIbv+kjCM5lzbmIUCYcr8JAcQS1jMyVlMQIFR1l44SpHyHct+SiZ7JGSMPpvWBB1Na7701d+mY6ZfOG0r6B5ZfuZoegiSsAIQwgABaV1ZOxHb33A3XJ+wQQKzLUaTJhrfamOEB86W4dk2BByIIOz56SEcyUaGEFXe5OiHFtGvamVvvQ1j41KUNp4hUyQCgFcMOQGuygTTZEIxRtSs1qg9l9zlz5YuNUzNPSIlI3tjReRtJRnJEV2LxWwYeAu2n9O5ybbL6ysQ3edC6v2COb0KM/lQ7PftU4tbhD8X2990vpY0OEVDfnlp7Xe1NbQ8rdsEvNufldKQrqNiF6vHJ73A/XPdzwFDCMg+oBzEmAEGMJKxg/c0Fq3Wc+fLF6rHJ72Tet/PT3mpj1p5ae13ORnsEF5zEtDSSsBw2nEr67u3fz31o/7+yJ1dP06ZbLnz9xH9O3DbyYX+tMeevNmYj2zqiJKqk4gcH3s9sv+ksVMbiB/oeDGv2GpKJlr535y9ZV1ZOuvOVS1AmGr+O8bOSjw8giShBzV6lllfDunyNEXP91OyTkZH8LfFbBh+yrhROOrOlCwAAqPWld5Coll4/7v5aY7745Pkv6oO5fc5M8TwPmZ++Z/snmRM0grK57MwUz0d3dd8ZGckf9FbqU4KyH0vC0z82alcqr6d2Zm9VU1reb/pVyZDjzfnGlZnvXvni8Ed3/JqS1HJKXEnrHUavX3NLakrPT31r7At+3fuZOXe+E3gQekhVvqk2rDWpO7crXKtMsaZdCpaLl4UXWFJnZnswu3w6XK1M+JMLx9QdA/cCAUAwv3LGG599Senr3C/80HXH515WR/vu9Cbmj4aF0nhYKE8AygK5t2NvMF84Fxar0+6l6efUnYPvgxiRcLk05o3NPi/35vcKxkN3bOYFZbD7kL+wet6fW3n9nbQXc8pDp+YXvWZQrS3aU6FDLc9s+e9sfJ/ggqeHYjsH7sg/lB2O7Q5cZiX7jFG77BVYyAMe8qA4Xjsbusy2q37RXHOX3JpfYpTTHQ/3+JosZ6nHnLpp17GMVEwQARBcU2j1mmFdMMFCh1rJ3sgIlqAsuGglo1JBq/PWZOgyh8hYmTtefFqNScn2OaBVBBKAm6vugqwRgwXcD11qxfJaL26lugEWcN+pBmu1eWsSQoh6D2XuResPB26EAMKu+EVzzV2wq/5qdjS+V1Kx/pafae0vpkSlRM+B9J1ACM5CHrRnv9Cp++XAoZZd9UuxTrdfjV0tRF0t8iACSW3enEQYks69qdtWL1ZPSjqJ4LYiSQgheMgDSSMRJSolfDOsyzq5prBfnTOvUJ+59SV7RjakWKxD60MEbil43itAiImg1LMKMy8pscwIo4GDZS2+qd1I8NA3tUzPASypccFZSDQj24qmxXL7acU1kwyiGTmiRjIs8JpIUqJE0a+6fwdmbR5AiJRYeqg6MfMlFvomltRoavTQrwCEiWwkn+fUt4Fo+SWkd97+iOAsRET66vqEX3AWssBv1mbO/B3RonndSA62WnWuLx0GAIDAqi+Yy5PP8MBr2s3yNCKyLumxzmj36IMAQpQaOVjCaiSjp7sPAohx372fBkiSDYSxvHb2uT8A7b5JzkKPqEZGTXXshgCh9eKCpMe7AQATm9cLAUJOceGE3yheAQAAjdMA4RtInGngAAixFIl3hVZ9ESGiQIzldYn3u7UNQgjOQ880OobuxoqeFox6kh7thAi3ko/gxgJfCykS78aN4hVOAxsRJUI2efAIRn2/Ubwi6dGO5uL4k0Qzcko0PQRB321KNNWPlUiKKBpjod8UnHN7bf64vTb/KiJE9c3qLJaUmBxJ9AZWbSG7575/G+kYujd/4MExCCHsvv2jo3IsPeSUl04HZnWWqJFMYNUXpEiyx6uvXeGhf1NtD0hSdIixzH2vAYAAAEK42SjxnQIRQkC0eDeWd3W5EMJ3c5zvBB4GDsREkfRoTtKjHUbv6ANucek0hIhACFFz9tJ3iR7rUBKZEXdt8bRdmDu2vh9Cu1lw1hZOqpnOPdS1SpxS1y2tnEvvG7zTnB9/EkJE4kN7P4qIpBvdw/f5jcqUHvgWiRi50usv/BGWtURsaPdHgkZ5xi0tnxGCM8GuvYGGECGiR3NBozJtL88cVdMde9aTmVjgmXIs9d9IJNYlGYkeZ3n2ZSmWGkSKFqdWfdkpLZ+BEGKiG1k5lhpEmEicUYeokf8c6Rm+z+gZuV+OpfoBBAgreop5dkXLdh+Q4+lhc+7yDyCRNCSrUWvhylObJ+3tY4dAqwZ19bsBEUKtqWArIh6A1t8k4JxtLti034+BABwiTHjgNZRUfhdWI+m2d9mb5OJBvTxNHXMVK1qiOTf2OMSSGu3f/jDWIhnmuw3uuw0933eE6EaOelZb/SIEEJzL0WRfUCtNEFVPYVVLVi4c+zNE5Ehi24FfEpwzVpg9TjQjY/Rt+wAikgKJpBdfe/r319ftV1YvuaWVc1q2a585N/4EVrWkVyuNE93IC8YCLdt9gNPAafsbjbjllXOt8zaEQAgmGA0hwpJkxLuVZHZUzXTua0ye/XuiGdnQbiwFjcqUFE30yfH0YHP64neCRnVufd2CM6ZlOs9mDtz7b6hnlyUj0eOVls9ATBQ913vYXVs8heW2OTxCmDpWCRL56s2UV10bjw/t/kLuyEO/Kxj1rMXJ5xCWNICwFNSLV0KrucKpb8WG9n5c0qN5t7xyjnl2SUl17GK+2/DKhQtCcIoVPVG/cvorka7Be5RUfqdg1FezXQckI95DtEhG9ewKRPirG9PB3qsgiKWcMXIHQUocQaI0vdXTBClxgtWEJsUH89FtHwcCiPnaqc9zwGla63tAxnrWo815jKSIEJz6zF4tmGN/G1c7DmtScjgbGf4QRmQyGxk+oGA9zwT1Vs2Jf5CxmpKwmvapXQi5V/OptcJFS5nBeGBR5jfaSh1BkBKXkJKoBPXndCkxHJFS20LmVT1qLjb91dNJteculRjdETm1AyNyoSu25+MxJX9LQJ3yZOXov1dJtDem5A8giBUJq/9tg5IHIgkrSkd8MBXVUtT2G+sy/raBcRAZyu3X+7O7AQTQnlo7s/nhBbW8eurObR8XnNOw5qwJIQTECG/0ZRGcM8E5wxElgXUlxpzAvOrVwwVDiqRHtnfeqg9m92k96W1qz9o2Y1vHYYiRZI2vvKrm44MkpqW9peoVrCtxr1Cbqr02832/1FzaePza6xyHGE1Wj018O7qr+w5tILtH7U3vIIaScObKl/xSc7H22sz3vUJtWmxoDYAYETkd7VK7k6NACODMlS8EFWsFa9cWSjatj2NF+oq/Wp+O7e+7P7Kt81bBOYMQQnepOsG8lql5/dTMk9T2G5Gh3H61Ozmq9qS2yymjizadMrO9RvmZi1/2VqqT2Qd2/zKJaim9P72Le9RhbmAFFWu5VbBRovpI/iCSsNI8M/fM5u3mlPn2dPEs1uUo1uXoZi8karo1KaH/P7G9fffFDvQ9oHUlR5gbWEgmql9sLKyrgtqeL2eRTC7rA9m9+kj+ADW9imCcSslILn3fjl/CmmyYF5eO1k7OfJ+74ZYf4E1gF8y5K1+7+PlWSmRoMZ86ggsBMXoeESwPPbr9X0IIYGgG9fpU9Xz5/OVXapOVs5zyf/QP9LjnWwCAJ9uvjVzvdyc2/Xw1XRMSPC7oNQ9AX2i/NvL6pp/H3uLzPxScijDWqQ/oSSVnV701z6INFvBgczqVU/dLdtVbM3Jq1+rl+mm3FpStslt4/e9m/mvQjkK/OiYEIYQQ8fb5tLZgTWZH4nuQ5MqeGdQljejxLn2gXSi5+jePCJSqC9akb4dNLCHZa4b1Nzx4mO+0/WrWxmqnQ4+5nXuShxWDxAAANQAAEEwwq+QVkn3GqJaQMyzkgZZUMlhCMg24b1e81UhW61RjcpIzQZ2qX9JTSg4AcMOCpFPzS6HLbESQrBgkXl+yZ7W4nEIEEf4WbVpqVEoSGSteM6whCclERgpngvceyi4ohhRL9hmjlVlznFNOO3YnD3ftS92OZfwKC1iACMIdOxP7JI3oekrJ15fsaUknhhKTE7x9rcMSkofu6fhQZcYcB0IIvxnWEYbXqHOcql9sFJx56jGHetQRXDAsbbVovWdAshLFip4yOgbustfmjjPfrmBFS66nRrSBWFZjVmH6JRb4zeTIwX8KhGDsLfxuQrux7NWL47G+XY8EZnW23U7QLlLU5hsLY9+L9ex4ONqz/SEIEfHqxfHQMVfT24/8i3j/7keBEJyzwOFhYCNEFKxoCXNx/AcAgAIAAAAhOIAQykayXzZSfZwGDiJypO3jc10EZzSS7x/TUt37BWeBpMe71Hh2O4SIEM3IJof2f7K5cPn7LPAbgVmdC93mKvXsSqxn+0OSkewD68URzimW1TiEmHj11TGi6Cnmu3UpEu++3npZ4NSoL0eEaEnIOQ0deJ3WtvYYA0mPdbYMOTERgoWAAwjb++7d2gYIEUaSGjWXJp6GCEvJkYOf5pS6nAaOAG8uUEAIoN8oTQZ2Yykay4wEdm0RSdfGpHNGg2jPtrPRnh0PR7uG37d+c8TCwEoMHfiUlu4+CITgq68/9XsAgCnqWsXSpaN/2nPHo3+U2XHb/2gXF0/SwK0pmGzngdtQkx27sKRGfbMy25i/9JgAQsR6djysdQ7dKzinRIvmEZEizYWx721OJLseECGU2HbwY1pH/+3FE0/9X0Q3ckQzchDjY5tVYz8siEhKpHv4rtBuLEMIJ97NIo+Syu/YPE6IMFGS2VEeBk5o1hc2qtt+HHAaOHI02QeE4ESNZKhjFnno23IiM8ICtw4AhDzwzMr5V/7MWZl7hYW+s/5ZwVioxDPfyhy899+k99/9OYiwpKbyuzgNHKxoSSkS66hPvP41o2/b++VoakAITqndXG35m3DaSvmLZINmZVaOZ4aQpBjUbhauGSCESE137uVhYMvx1BDCkgo3GIEGzeqCZMR/J7H94KeNvtEHme82gOCcek5Fz/Uekox4D3XtcnP20nfX2zypZ1chwo/ZyzMv6x19t8VH9v0iDwNLCMH1jv7b/VpxXIol+4NGZbo5O/Y95lrX+Ifp+b7D8dH9g0hWo0BwLhjzE6P7AwAgTGw/pCFJ0hGWNIiJEjQq06HdWJFjqYHY4K66W1o+i2U1Rj27TB2rDDFRsKzGsKLG1VTHbq9SuCgY9VBLffKm7z4LPBMR6ctEi2SNvm3vJ3qsg4eBHTSrsyIMHCma7FMzXXup01xzVhde44wGCBNZtM+rRu/oA1pH3xEe+GZo1haleHrQWpx6ITa068NYUWPUsUtBvTzBWej71bUxt7h4+up3hdFQMhJfYt6uR1jgmZwGrhSFyF5eG2+39RlavvdWIIQon335v8jRRK+a7T4IIECC8TDat93Xsl0HqGuXiR7tCJqVWSSrMUgkraXkUqNBozJdvfjqn/vVtcubC2Jede1y6cyLn48N7XmUqGEGa5EMhAi3Cm2CI1mNyrHUgOA8pI5ZZN61fmjN+StPUs+pxof3ftzo3fYgC9y6ZCR6eBg6Rt+29wMIcWjWF6hrlbnvNRuT5/8hufPwr8qx1EBg1hawoiW8SuGCmu7cxxkL6uOn/ibav+NhLdd90F6eeVlN5Xe65cLFzSq09yoy1tIKNjplomcrzvzzNXfhhfWSaj5xy0d1KTFkBZXLy82LX1ZJtDuhdt9JkBKPKrkDrVYur4ahZNTdlVcBAFDCWgYjycBQNgLmVAhS4jKM5E1UPNv0i+fcsDErYTXZlrZfvfZR5td8aMlCCA4hljGSjZB7taI1+R1Nig8Mp+/8HQmrSceuTZftmScwlCKGkt6pS4khLqjXKi4lhpYa5/5i1bzyjbTef39Uye7VpcSwSqLdoO2Z4i5ULo//ztd/Aaxfcxmn1PSqAADgl5qL03/4+GchbsvQBRA8oN7G873gQmBV+kbz7PyzggsmGGdg/d8NODPFs7N/8tTnWsVeAIUQnLXXw0MWQAiQsa3zVqQQzVuuTuqD2b1SIpInuhxLHB56GIBWIYk5fqN2Yub7zQsLLzLTu6H5a3v9MxCjeaxORaBEVIggEpQFzA0tHr65tVQIwbkfunI22tc4PfeUCKmvdiVHNqZRXQ/mhx5E8EXrSuEkkokKEMQQQsR96nK/9ZCOeaEDMXrBGl85AQmWIUYEIog4ZSF3A5OHLEQSGasenfgmIlgCECAeMp9ZXs2dL481Lyy+BITgzAtt0PJM2hhtDoKyuTTz+Sd+jTuBKQAQa4+f+QJzgjc9CArrThli9O3G67NPQ6nVUgcghNT264Jde27hAfUhgqfdhfKlanv/XTXgZpwyL7R48ONo0f3HSXuCXtj8e8E4Rxg9Vb609iqWsMwpD6lHHeb/8C1CP+/8KMWZd+XzXPD0YHTHwqnSC2uX62cGbs+/v/UXdm1R3DfD5uj9Xc8uni6/BAQQRMX66P1dH932YNfHEz3GUTlCokZG7UQESjs+0BMBAAA9qTzj1PxKeap5qfeWzL3xLr2/c3fyVtkgMaJgTWopTqoAtIpCBz85tFNSsRbr0Ho5FaEQLUdZAACgPvdWx2qnZYPEjKzaGbrMzo3G9+96pO+fSRr5YuhSFwghfCts5HcmbqnMmeOhQ61Yh9aLJSSHHnPsir+660N9nxFc8JVzlWOBTc2B23PvVwxp2bfCJgAAYIJIvDsy4FT9kmcGjcayPZttxb2DpTPlo0uvl1/u2pu6rTzTHAMAXO2SiOa0Toggbq46SwAAoMblFKM89Myg3nck+0BxvH4GAADKU42LlZnmmBqTkxABZFf9tQyEe+753O7/cOXppW+M3t81u/uRvsTgnfmHQ5fajYIzxwLuK4YU95phdb2VK3CpZRW9Fafqr7F28liqzxjZeGxZyAMiYxURKDkVf61rT+oIkfE1/pg/KbYKPNcBy2+khGipzj3Mc6rtp8IbCjwtDx2iRfNKLDvqFBdeE4Kz5MgtnxGcBdcx3oIQIsxp6NiFmZd9zchGOgbvvvqkmjOGFe1rajK/MzGw9+NudfViderMV/1GaVLLdB8IncaKrMe7rMLMy4KGDgu8ZmrbrZ9VYplR0L4YQEyU0K4vQ0QkSIiGEZIkPdqBr+P1shGvunoh3r/3o1q6c29l/LW/DOz6InXMVUgk1Vqde4Vo0TzEWKaeVeZhYMtGsk9wTiHcILNrJdGEWJIjnIZOQBtue6Ladb11QixpgrNQ0mNdiMgGAABu3O/XIIQQLHR56Js8DBzOQldLdx/YWHB7V7YBQogl2ZAiiR5Jj+bNlakXIMKSlurcKxgLwJsKFBBAhCXmu3VzZfoFxaovKvHs6Obhu+WVs8y3K0osO9pcvvIMlrV4Y/7id4zO4ffJRrJXisR71WTHHgDAlBBcQIRfXDv/wh9mdt7563I0NcA8u2yvzZ+Q9FgHkpRoaNeXgmZlRo6nh+P9ex5FiChWYfolp7J8hshagvpOzS4tnHyrY/7GJiMCMVEEZwGSZEPv7L9DSeV3etW1ywCA4s0s40YgIunx0X2/6BTmXw2b1TlwHS+md8rmcRI9mkvuPPQho2/7Q9bS1Av1sZN/DQD4sd5UMtep1CfO/J0cSw1QxyqaixNP20tTL3BKfSA4e7uClt8oz2BZ/V05kRmR9FgHUlomyKFVW6wWl1/ngW81Z8e+p+f7jiAiaQIAYa/MHuU0dBvTF77FQt8EnFNOQ9demnzeWpx8buPyvXLhQuHoY7/tFpdel2OpfqIZeeZd63MVWo0ViND/K8dSA0oqv5M0qrNCcBrazYK5cOUZv1q8HNqNa242BWcMAFAGADyOJOUFNd2xW46lBhCRdOrZZbe4fIbajZXrbX9y162f1bLdB5nv1tV0x24AIXIK868iSY7wwGtCImmt7ySWTE4DOZEeNnpG7ocIS+WzL/0XJZnf4azOvwoAeBFAiKVYcoBoRrYxee4bPPQtOZEdgUS+YfpgW+24iIj0t3IiMyJFYp0QERkrWkIIzmuXT37JLS6dZr67PjESQAge7dv+AQAAkGOpARb6lpLIjAAAYNCszSFZiUqRWFfQrMx4ldVLzuLkc3Zh7vhmJUpo1ZelSPQ7arbnYLRv20NqunOPU5g9JsdSg05h7njQrM4JGjiJ7Qf/KVYj6dCqL4K2YtAtLZ/Fqp7CihoP7cayu7Z02i0tnwEAwJtRvLTbUMcghJexqqfkWGpAMuLdfr08KRgLraWp59kbpsnCqxQuXPN5RkMAwDEsKeeU9vEOmtU5wTg158efDM3aglddu8zDwAEAAAjRs16lcEGOp4eIFsm2W/2YXyuO+5XVSwIIbi1Nv6DEMyMQY1lwHtorM0d/moq8Hw6IZKJnNRLrq4GlV5hgHgQQYUB0AQC3g+oEFzyAECIOWOiGtWmFRLsxkiIQIolx6q6n3nmhueAGjRkJa2kEsdLwVk8CAFE2MvzBvLH9kz41l0y/eK7mLr/CRGBCAKGEtTQAoAAgJBhKukKMzoDZRQggEgBCLlhIsLJq+qULSbX7Lp/ZBS6YHzCnZMjbPyGEYC5tzIXMqwHQmGulPEAcMq/uhvVZGUdyCL6hqOWtCc3a9fZEu0hy3YCEjTAvdEA7te1G8JCF4AahEoKyAAjAacMp1U/NPqH1ZXa7y7XJyvNjfytnot0QI8JsvxmUzSVvpT7FvOAt13WdbWi2X28J90Jn7Xtn/sy6UniNGEoCAAgL//DaH9nTxTNvu57WE3obvEXqTruAcsP3tItO17s2hwCAK9f5/cZls02fvWFxYMM+eVva2+WCDe0OW/zwdBzufiB3qPN+wQTzm35l9ntX/jJ03lBqtIs/NQBaSlg5rqTig8lB6lHHLdnLb6Vu2OK9A6c8DBxq2mV/NTMU26VEpTiWsXq9UJrls5VXBm7LPVidtyZinXo/Z5ymB2M7u/en7zILznyy39hWW7CmsITkRK8x7Nb9MgDg2Vaqk/G9HQ93fzKww6ZVcld6D2XvveXTw5/LbUt8lShI3f7+7v54lz7gNoKqEEBIERJFGOL1mHNOOe3cnZra85H+X8UEyaHL7LUr9bMDt+ceUqNycuC23LGR93VFUwPG9vkTxWf1hJxxG0E1nY7tRBgRwYVI9EQmOOXUyKqdQ/d0POJbtJkZju6K90SGbvnU8AT1mXfoMyOJ7Lb4volnlr+JMHwcYlSpzprjiW59EJOsZFf8tUSfMXzbZ7f99pHPbpvwm2Edy0g5/Mujg6FLbaLgP6A+89SonKAec1nIg+aKMy/rJAoAAG4jqHXuSX3xns/t+r1ISs37ZtioL1hTekrJ7fxg76fry/bsyvnqq3Ovrj2T7DVGtKSScet+WQghSpPNC74Z1gEAAGFInKpfdBtBpWNX8nAkreRDh75J1LFuMq0YUlwAAOSW4uknzlaB5zoQWUsgQlTOqOc3KzNKPDsKEVFbiVdvgGUtkRw68CmrMP2iXZw/ITgLBA0dTkP3ei0FSjwzGu/f/SjznSrRY51E0ZNt09NWb7jvNqRI/A+Y79ZlI9mPZSVGFD1Vnz7zd1Ik0bs2cfrLRDNySjwzQtRIFkKIIJGuVgaxoqeoZ5cDszKnpjr2qonc9lYUuvYm1/ONsNB35Ej8T2J9ux6Jdo884JSXXg+txmJ65+2/JlpGxNBvlqe8+trlaNfoA2qyYxcLvSZ1ras3fIhIKsKSRn23jhU9ibCkAwDEulnnZrCsxgSjQWDXF3ngNQAQvBUb/2YQllTBWWCuTL0AIURKPDvKqW9tPB7vxjYAACBRjUxy+MAvWYXpl7za2hjCROWM+uuxyZvHpqW7DwhGPeo7NSWWHsKKloAIk42TLupZlUiu74/zBx7837Rk5263VrgoadG8Vy2cF5xTrOhpiN8wcRacUYTJ3zulxVPRrtEHI7m+I0ok04NkJYYlNcYDt84Cr4Ek2bBX5465leVzSGq1pTnF+RNOefnMTatvIMIQIRJa9SUAIWpMXfgWkq48tbkQ8E5ggdcsnnz2PwkauoKxAGJM1lsMAQCCB775TlU2m8dJtEiGGIked23hlL00/eJ6iyCEEAKESLvNTuVhYL9bhr/t5Tz9oyyDBZ4JAHiricEYaE3MN0dJn4MIX2o9C7r+pDhoVhcghIvtz90wia89+Z8GG56M3Cy8pRJ7rf16WyBCUmjWFrzK6iUAIeKBb/r18hTRIhm/XprQcj23hFZjWYmnRyQj0cNp6PqNyrSazO0gkXgnp76FWv5bgPluvTFx9u+Mvm0fUNMduyAmatCszvHAe/tJWqvQc7H9uiECCMBp4AgWenZh/nhoNwtG99A9bnHpjBRN9mJFSwbNyqw5O/a4szr/ql8vTTDPqd2ouBfa5hoi0vN+aNOhCgAAIABJREFUdXUMYiILSj0AIWa+WwcQQCypUdh6mACY79QEa51HqGuVAQB/fzP7+C23pzWuSvt1esN/nW2/3hJ2k8e7/Xe9Bm5QFGjzPADg+Z/FmPSAOeWA2msBc8u6lBhCOv4gRkS3g+oV2y9fjqudt+pSfGggeeS3GQ8tCWvpgDnFgLollRhdAnCKIJYABJAK3+SgNTHDSNIFEDxgTnGlefFLucjIo4pkdMXUzsN2WJ+y/PKYLidHOqM7Px1XO7+V1LpVyv2mgvVcyNwK46GNIFYwkjQEERSChS2fn5aiJq51ViFARCFGlxPWp0PmlhHESi4y/BEF6x3rJs0eNZcpf2+11HCfOswLbGty7XXmBBaAAIqAeubY8vGf5DjarUmz4I1Uwy22eFfI7MvfZfTEh9dOrzyfGEntv1EyGwAAKHElvffXb/39xFBqrxCCn/rDVz4HADj/ExzuFu8UBJFT80ssZH5+R/yAkVE7lQiJgpaI4JprodsIKkpMTg7f2/Hh+pI941T8otfwa5KGI7Euvb+2YE8WLtZOKjEp4VthfWOMebNgzy2dLr+84+GeT7mNoNJYceb1pJLd+Qs9n2quOourl2qn4l36gF3xV6M5rbt7X+p2q+StgA1ihsps83LxSv2spJGIU/VLvhOanhnWOvcmj3TsThy2K/4qwlAqTzcvNZaduc49yVu1uJyGBJLWGNzFs9+Y/fMj/3zbb7l1vzz+1PLXqcecnlvS9+hJJWuVvJXSVONidc6cSA1Gd8y/VnwucKidGY791X2/sec/de5N3Tbx7Mq3Zl9ZfXLXh3o/k5FjsmCCLZ+vHq8tWlPpgeiOaE7rAgDMqHE5Fc1rPV17UkeUqBRXotLV+efaeP31k1+e/PyuD/V9hjjUaqzYc+aauxTv0vs5FWHoUjs1EN2mREhs+Wz5FSxhhchImXpx5bH19C4lQmJKVEoohhRfuVA9keo3thkZtXPz4Q0carr1oAyAJRK9kWE5IkU3GlP/pNgq8FwHrGpJLKmxxOC+fxKY1dnQaa6wwLl4rfO3EJwGtqR37o3173ok1r/rEQgRFoLz0G4sXW+5iMg6EIIjSYlqqc69AEAE0bW9eaHdKECE/4PROXxftHvb+xGWNIgghljSUtsO/6qa6twLESJOceG1ysRrf2WtTL0AQEsc3nn4F3JqIr8zkh+4EwAAmovjT0h6vBMrN1DGbCCwGysAgP8uadFcfGDvx6I92x5ivlNHkqyHdnNZ0uNd6R13/JqkxzpDp7HSXBh73Fx+QzGAFT2NFT2Z2XXnv+ahb0KEJcFaSoYbrTM5fMunAQTAKS+elo1UP2fsugqPdkKQnBw++Cmi6hmnvHwGAoQ3O7H/qNvQioAOXCWe3RYf3Pvx+ODej0OICGfUDV3rumoWLCuGEJwSRU+pyY7dzHcqECEJtCKWr+KUFk+tnPz+v0sO3/LpWO/OD8pGojew6ovUNVeRJOnUMa+ZCLWLB+MAgHFE5C9q6a4D0c7h9ynx7AiSlVi8f/dH/EZpMvSskpbu2muvzh6rz5z7Ogu8G7YIXt2fECE107FbiqUGo0O7ZKxoSYAQRpgoSI/mkaQY3PcacjSZwFokw0PfEpyF1DZXEZE0rXPgdhH6Ng9DB0myTj27SlQ9CYkcgRjLQb085VfXLkNMiBxN9lO31e4RHdj1CJJlQ4ome0UYuG5x6RTC5FmsG7nY0J5H/crqJXt55iU107lPTmZHvdLyWb9WmiJaJK1mu/djRY1Txyq5a4un5Fjq6jghwq6SzMK24gFIRqwztOpLAABH7xy4Q8v1HIKSrBFVTwf1yrQUiT0W2s3Vt9tP7yWuNwG+KeXGe2jijDCRU3vvHKNOs0D0aIe9PP0SxERmvlundmMZAADX1ZLMb5k888BrYEWLh3ZzRc/3HrZXZl8J6qUpAFoeSACAv26/fjwIwHkY2Czwml555bycyIzw0LcqF479GXXtd1QE5TT0AQCb44vX+bmLEX4vfUdvFi5YoJDINxQc6YAQSym99z4MZcNn9mrFWXgOI9lAkKgxJbfP9EvnQ+ZVTb94vuYuv9Kb2P+vJKSlGadeW+krMCQ6E6FNkBxL6wMPxdT8wYDaazLWswgR3fSKZzzaXARAAE1KDAMAUX/i0G8ghJWyPfskAEAQrMRlrOcF4KGElAQT1BVACMr9JkYtfxgEkAQAgCFzK5T5zTVr8rG8MfrRVvtYfr8dVK4wFlp1b+WEGzbmfpr7eDOCspB51BZBa7/xgLpYkw1EMOH0ve/btMUWbwfEEJfOFF4qX1g7BrjgnN1YkYNVoqsprcMqmLNACP62xrVbvGdQDCnuN8O6HJFijPJQjpCYpJHI9eJwBBdCMaSv9t2afZ+kYG3xdPnF9FB0lxwh0eqMOV6cbJxHBJLBO/IfAAKI2ePFqw8dORMcAHCsa2+KduxOHi5PNy6aq+4igADJESnq1IPSyvnqcTUmp5CEJBZwX1JxhKhYA23hQeBQOzsa/+qRz47+r/OvlZ5XY1ICQojmXys955tBo3t/+s78jsSB0KFWrFPvm35p9XE9qWSUlnqmwBlnEMHvYglJuz/S96uxDr3PM4N6ddYcL042L9gld6X3cPY+JSolqMsc0C4ulaebl3Pb4v/u1l8Z/c1Ed2QwcMLm2njjTOhQa+lM5Wj/keyDSEKSEpMSELWsB5QoiUMIYOhRp7nmLGIZXbX9aMfPP6XF5ZP9t+feP3x3x4dy2+L7OBW0ONE4b2TVTq8Z1MpTzUuRtJK3yt7q5ScLX/PN8OoDQyxhefCO/EOFsVqqMtMcUwwpHlxHwRPNaT16Usk6Nb/MQh4oERKD1yne/bjZKvBcB3Np4pmpH/z5ByGAsKVchog65urGCZVg1F86/p3fVOKZUcF5yEOvKThnglHPb5bfFClorUw9P/fslz4dmLU5wVlI9FgHwkRjgfemhKl2C8RzWFJeI1o0h2UlBhGRW93fLGRhYFHPKvHAa268OW61DuS2h3Z9yVyefBZCiPRc7xGvvnbTEbShaxYhQl/EshbHshpHkmIgTFQAIQJcMEZ9m7rmKvPd+sZ1e7W1yzNP/sWj7Vj09oYIHtr16xa7KpeP/7m5dOWpVr9nS1HB/OurRqzC9IuBXV9ot1MJACDiNLDpDd7/TreB+k5t4eVv/E9yNDUgGA146DWFEJzTwPEb5cnN62nMX3zMKS2e8puVGQCEkPRYJ4AQCfbmnuj2ei4jTP5jZdz471jW4hBheT3q3a2vjW3+zDqcBh4A4FWI8Cmi6mms6ClEZB0CCFnoNUO7sfJW3k8bgRAhLd97SMt2HySRaJ7oRl5wHgrBOSREVbPd++VYagjMQhTffuBTSiIzwn2/SR1zrTk79nho1hZig7s+jBU17teKVwDEBCKI2/5PCCt6KkhUpnngNXkY2LHhvR/za2vjXmnlXHx03yewpqf9ytoYjMQUKZ4e5GHgAISIluu5RbDQtVdmjyrpjj2Rzv7beOBbkpFw46P7PyzHUgMkEuuijrXGw8BWs1375FhqiF3xTCkS7zL6tr1f7+i9lTMWhGZ9UUnmdyJMvpi74+EPR7qG7g7tZoEHvql3xzqRosYhhH/4szix/FlGcE5rY6/9ZTvJq5XwBAB4o/VRCCCAaF3eIQJtARZY9/0AQIiWAusnaCYpBA+8hmAsEJxTwDmFiChbkb9b+NQuQgjLAADhhvVZgpRYwOwi5aGDIPlKhcw9jSDRmAhtzqlHeWBxwQJNin+dIDnGeGgHzC2H3K+tNC99SQAhQuZWKA+aEECU1HrukYmeW2le/OuiNf14yN1KyLwKhpLWEd3+CZ/Za75vLUtYy9hBZazprZ7ywuZCSwHkVQDgbM2a+GYJTH+Pcr8BAACmX744Xnr23zIe2gJwagfVCYLkP5OxnoEQYsoDkwvmUx6Y11Mh/7SBAACtP7NL6YgPytlYD3N9E0pYBQDc1PVviy3eS2AZK1139T2S2pE5pGYiXR239ewI7bCppLS8ElczLGBe9919DTmupqWIHJOjSlJNqTk9Z/Te/n+8L6YktOzqyaWn07tyt7WVZVv8DGBk1c7c9viBeLc+0Cw4C+Wp5iVJw5F1y47N+FbYhBB+V08p2fyOxAEWcj+wqakllczQ3R0fRBiS6px5Zfrl1e9X58zxzZ9fHaudskreSrLPGEUESaFHbU5FSD3mWmVvtXNP6tb+I9kHBQCiOF4/u/m7VJ5ujp380uQf57YnDrRavyKDxYnG+dRAdLvggAEBhJaU0xcfW/iSXXYLnAkmR6Sr1iCCC4EI+nZxonG+a1/q9vRgdEeiJzJsZNVOiCAObGoun68eXzpTPhp67KpytDjRuGBk1P+9Y3fy1vyOxIF4d2QQS0jJjMT2QATx2nj99VNfnvx8Y8WeA6CV2MU5YJmR+G7qUWfuePEak3kAWu1aEMFvzJ8oPZsZju3u3pe6I9EbGY7mte76kj3TXHHmJ55b+Vaz4Cyw8Frj8vqKPdcoOPOSirXMcGw3IkiaemHlsY3v4UxQq+wVVi/WTgoheKI7MuA135yQ9pNgq8BzHcKWMegNWxoAeGPCDiEcv5mJIvXsKmgbW7V523aI9qT9pm5chOBcNpJfZZ5dVhK5HYjIEQABNJcnnrHXZo/dzDKuLqvVsrF5vG9JO/L9bSX+67TVNis3817qOzXQ7ju+Wd7JNrQLeOchhBdu5piGjlkE1/azv21qVVuZs9R+/VC0x/d2bQ9vCVbUOFH1DCREYYFnWgsTz2j5nkOc0oCHoQM4Z4hIGiKShhCRg2Zt3pq/8nTQqEzx0LchJjKSJD0060u1Syf/Kjq068NapmtfYNYWGlPn/yHat/1hKZroUXM9t9jLMy8BCBBERBac07aqBq69+tTvxUb2fExN5nfIifQwtc0CC32Th6ELgACChS51rBIQnMmJ9DAArfbF2uVTX+ZhYPPQt9R0x25EJE2OJvsyt7zvN5EkR9aOP/HvqWMVs4fv/y29s/92Z3XuOPPcGgu8ZnPq/DdDs74YG977McmId2NVT4If4ruxxY9Oe8J4U8lu7yU4owGngU00PY0UNd6KUN96WrpFO+WtxTXXGi6unuffhBs2Nqu3QgDA3IafpxDEc0vNc38BAIRCsJC/oYT1IEQv1rzlY63CqOAAQCiA4G0j9M33Lcsbf6DcN8Gmv0HKg5u+z/ipgyDxCvVprElRv1CbJslIByRvbW68xRbvVYgmRbrv6X/Ub3hlSZeilUulE5IuRaO9sZHsvo67s/vzd0mGknBL9gr1qCW44G7RXlKSaq4+VT0H5htX/IZfdUr2EvXoe6qlcosb49aCkqQR3an6xcCm5vC9nY+YJfct5wTtOUkRIvjM/GvF51tppACCtjJEMMHYDTyY2kqeJYRRYX1prSdmQDg1v3T6a1N/eu6bs3/BKaecCbq5sCG44BDBi81Vd3H47o4PUo+5WEKKU/WLy2cqR89/a/aLiZ7IUNfe1G2Sjo36ojVlldxrvBvbCppJhOE0wtfEtQvBhRBc0PY4r8Eqe2sQwcdnj6092VbqtIpgAnDOBWsvFwAAwOt/O/0nZ/5+5gtXx80EBV+9zr5stUpVAQAvY4KOQwQxgAACAQRngnJ2/c6TmZdWH185Wz0GAACBS20gBOdUUPCVN97j1v0qUfFvCA64YJxe+t7C33Am6E+6PQuArQLPj8x7SQUQWLVFAMAXf9rj+FnnvXRM320gIYqczIxgVc/YyzMve5XCJWLEe9qeSH7b/0MEzepcffz0V/SeoXtjw3s+Sh1z1Zwd/wEPPRNALFHPKYd2s2DNTzyt5XoPQYgItc01v16aUFL5HUoiM+KszB1DRNYECz3Bqc8p9XgYWBBjyS3MvypF4t1Y0eJBozIDBOdYUeMAQsjDwBaCUyTJEaxqSb1z4HZrcfJ5v1aaAAAAIARfHyeJxDq8SuESVrQED7wm8+2qV165ICeyo0QzcpyGjggDB0KEg2Z1NqiXp5R0fhdWIxmwVeDZ4iaAGEsQEVmKJvsgwjKSZAMAtKXg2eLHBheMgk1tvuu0C6XvmmH9zwo8YJ5fqE8ZOzpvA1wI2nTLzlTxjAjYVorQFj+TCC5Y5VLxRKTD6PcbXqU2XjqVP9LzEHWoVTq7+nJjtnYp0hUdas7Wx6SonEjtyBzyKs4qkpDcmK2NaRm9K9YbH61fqZzxKs7PVNv5zzMzr6w+2Sg4C3pCzkAE0dKZytHKTPPyxmLFjWira96RWutGhQvQCiR5S2/KdoGiDgD42/ZrMzflw9gu4vxQPpjtdb+tcrtd4Pqh2nV/mM+03/uW4g8AAKDeNdekn9q1eqvAs8UWP0cwz6m5pZVzkY7+27Vs1z4gBMWyGmu3lvmw3XqCJNmgvlszpy89Bod3P4pkLRHftv+XmtMXviUY9ZDUUoi1niALwELfarUqBhYAQiBFS0KM5fUWR4iJSrRIhnp2BRFJCx1rjWhGBmIsscB/kTlWkehGTk137BaM+gBCiGQ1Tu3mcmjWlyDCcqR76J6WF1BzdX2cYbO2qKbyu7AaSSV2Hv7loF6elmKpAWo3C5yGDla1FKehI4DgPPAtAQSXjETP2yXLbbEFAAAAAQAPAxtCSIQQHEFMqGuXhNh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yRUTUvKFDabYeUb70pC/95GDTk61bu2/ouLL/vblDs88JU1jSDRwuuN530+CH6wUnu3Bg5plwW6wv1pdcObdz4iFiRMSIyUB69YKTdRaqM+2X9j7Rfd3Su4iIvGJ9oewFdT3cH4v1JVcWjs3vMRJW+oxtmKtMMJ0bgRs4XtnNC0uznWx1qpatTkY64gNmwsoQEXGNG4wxJr2g7ixUZ4gxdrZtnqthrW+VNxzwiEg4HVo5dJPyA1fYoaR06sXagUP3BJXKAmOMiVi0xejs2MAj4Yyqu2VveuaglklHRDLRxU0zGtm6+SPW0v77iajIrVCcGKPwmlW3aulkb2XnC9/yC8Upbhp2aMXQjbJazRFnh5XrVRcnd1JM0wyjvW21lkn381AoIZKJuPIDlzRhcsMIhVYsv4FpwmSmFSVSqnbw8L3+Qm6UiEjYoYTR2blBJOOdpEgZrS2W9Pwa8VefkvOQFbOWDVyppVK9/lz2WH1k7NmgVJrllhU1uzrWi3i8gzjX6iOjz/pz2aM8HE5b/b3bjI6OdUGpNOOOT+xyxydfkK5bNTra18QuveQqFrLiIhJuUq5bqR0+8jOmaQ8r33e5YYT09rZmIiIRDmf0psxSeWpI26SIRDLWQN92YpwHxdI0t0NJWa7MkeC6iEZbmKHbsuYU6sdOPBZUKgvK8+vK8x1anCSLG4ZtdLav05LJbtI0wx2f2B2USjOhocHrzvTavtH3DZyZJkgjInZ02N+vaexND2DnZoOpBx+o/6hclD+fEyIcYdHb32f/Rmsb7xod8Y/Var941RzGGGOMiHPiUpKSryI8TfdFl3uOXzXCWky3wvae75344oknZ+59aRqe6Ip87+LfGPzEzMHcTs3koc6LmraPPjf38JvW4Je2QwidCT2kRxKdRiIzYMSSPcIKZ2qzY89Vxo89rALfJaWkUkqSksFr+YDnQjOIizO8ZopUELhnu0w241wwoRmklCJ6cf9Knh7unnE9IfTF5YJ/35bQiJR66e8Y54IY40TElAzcN2Ms/5uJMcYYF9ri5y9bbJenZPCqz6AwIfT4wNr3dl5957uYpluaHWkxYunemafu+TMtFLkn1r/y3R1Xv+92M9Wywivnx5y5yReISKVWbvmoHo62edXyTG12fGfhyO5vCcP6XuC+/FBdrhuh1ktv/rQejrd7pdyokcgMcM2wI10DVznZyRfKY0cfjHQNXGGmW1cqKf302kt/N7nC/bAIRTJ6ONauh2NtEw9+53cY4197NWHSqeeIM+JMW7z8OiciIqUCJQP/9fY+yufVwr593s5LthlX6bo0Nm8xth894h+Ym5PTt91u3RWP892FgsQcMi/BOGNcME1JFShFims8d+DHJ/4l0RntJ0asMF4+7jtBlTHGGv1AES4syg9cpmtW9KrNHzf6Oi7SW9PLzP7ui3kklK48tefrhR898lnpuKXmP7zrBzxip5l27gIeIqKxk96RPc85T6zeYF1yydXhW44fdve+8KzzaDjCY83tWle6SbTmssHswJCx9vLrw3eUCjLX2acvq1VkOZ4UaSJGxw45e/c+5zwhlZKpjNaycVvomhPD7r6WDq1765X2TZWSLGo6e+Ltfgl2PRPrCq/svlSEjGj+8YPf0eK2an7P1o8abamlQcXJyWq9aLQk+piumcVnh38kQsaPgpr7C/MYvnhpaCa4zkMG9xZKk0wTBo+GUsSIiaidiazq3q4lI63l3cfvJ6JhxhnTM7Gu8PLOrSJsJZjG9eqx6Z2149O7pOPVuKFboSUt67RkuNXszAyqulerT8wfrhyeeDooO7/Qa5Hxxf1rXGeaMPxiNetm9VERtpI//ztGREwTmtmeWhrdsOR6EQklakcmd1T2jz4eVOqFFz9Dwyu6tunJSGtp9/H7peNViE5lRopIKT/wmeDCbEv2Rzf0X8dDRsw5Obunenjiab9YzSqpFBNchPpa1kQ3DtwYlJ187cjks9L16+5M/nhQrZ/T+R+FqVlccFGZr04rdeq4ujpdHqlMFI9rth7VLM2u52qzdV969Vxt1qt6pbldkw9XJovHk4PNG9OrWy5p3dp9AxER14Wph424kiowYlaqnneyfs2vMM6FsLRwdbo0UhzJHTKTVnNtpjzmzFUmglNBx7SZDDX7Va8c1P1aelXrFt/xKlzjOjE6EDh+TZgixAQT0Z7kYGWieDyztpW8spuXwan/e7VsZbIyWTqRWdd6WaQ9uqRwYmHf+EPHv2O3Rnrs1mhPUA9q5fHi0XBbtJeIlB41T73ujBHXhSnMU1fjCup+TXrS9SpuQQbSVxW3KH3pxftSKyYNLVSZLJ0oZn65DfWCk7XSdhvXuSl96XON69IL6pWJ4nEjZqb1sBEnpZRf88qapYWVUkG0JzlYHi8cPds2G3149Rv/AilV4E3PHFCB9LQVy28w29tWy1otT0Q/EfFYu71uzXtFJJxmuh5SQeDxSDgjK9UF5TglMo1IUCrPEpEy2lpX83A4LaZnDqogcK3BZdcG5coc4/wbWibdLmLRFmKMi5jTqre1rCTORP3k6NNmb/fFRkf7WpGIdzJNM7iu20G5PMtNM6yUkn4uN6pcr2r0dG0ODS69WvmByzj/KtN1K7Ry6F0ibKf1ttYVpE59CeOWGWOaMF5N00U4nIpu3fwhHok0aYlEl9nVsUEk4h0iFv2BvXrF1VomM8ANI0yMSETCmdr+g3eHVg3dpCUSXVpz07IgX5zQUqleEYu1MU37ceTiTVusZf1XMdMM+9n5E9w0o+EN6+6U5fIsE2KfvWbVTUZn+zqjs2M9EZFIxDv1lpYhEYt9iZumZfb2XKylkr3e9Mz+U1+SGCMZ+EqR4iErrny/TlIF3NAf0FtbWvSWpkEVBB7j/Hl77aob9JaWIW4aEWKca4l4R2Xn7m+/3Gv7ht83b0OcM9bWLro5J+77ymOMuO+TN5+VM8SINTfztmiMJyplVZrPBjOOoxyiU712UimesW0Wae8UNufEDZOZusGMtnbRmUrzpplpOZmdC2biCZ5MZ3hzraaqUxPBmBCMR2MsEYvzpBAk8gsyWyionJRKhSM8kkiwtBVioVJRFXILck7TWG0+G8xUK6pMdOpLSiLB+BOP1u8L2SycnQumGTFGRKTpTOvoEL3rL9KbwxEebW3nXVMTwWg6I3bNZ4O5sz0X4bTVGmuzuw1bi8hABbnR8pEzdXWsLdRnrbiR6t/edjPjTDhFLxe48k2/OgbXNCPSvezy2MDq241Yuk+zI81BvZavTBx/TI/E2sLt238/veaS3/HKxYnAqea8cn7cLcwfszJtJ71Sfiyo1846zEKYoVjLthv/NNK97JrAqS4QMSYsO6V8z1EycBf2PvUPjPOvv9yX8GjfipuaNl71Sbcwf8wrFyakVy+5hfnj4Y4l414pP+oWF87YoyqxbP37uWHFwu19u081lIumjVdd5sxN7GKM/VSYoYSZalme2bB9W6i56yKu6TbTdKs6eeIJK936bTefPSYD/5eeb8Y5F5adFqad5LoRZkIYjHGulFIkA08GgStdpxDUKvOBV6+8jpfktH0JoYejbdHe5avDnQNXmMnmQS0cbfXKhYnK5InH7fa+p73C/HG/Wp5Tr9DjUBihWHzpmtutpvZ1Qa06r0cT3Vo42hLuGrgq2rfiZjPZtLSemx2e3/3Y55SS0oileq1UywpSUjq52UPCsOLR3uXX2y2dG61Uy0o9HPtrr1KcOdO+uKbbdmv35vyhXV8vjxy6127vvYRxoXNNt7hmhCPLBt9FpIL8gR1ftlo6N0i3Xi6PHXmAa3o40r3s6hd7D9EZeqKeYV+WHkt2x5euWWM1ta+zmjrWGrFkr/S8mpvPHqmMH3sk1Ny549R7tbrwSsHg6YJAyUsvM3eMjwcnn3zCfXD7Fcb1v3qX/dv/6/Plz1x+hXn9Jz4Z/fTgcv0LkxPBiOMox/PUqxoSrGlMsywWsixmCUGaIlK1qqpWKqokZeMHHvGO8JKeS9qum96TfbqWd7NDN/XcxQQT0ld+4Em3a3Pz1VbcTO362vDniOhlh50DvGb+qV5h1sqBq62hJVeQ4Jo3nR0ufOORz1Z27Puucv1aZNu6u7RUrIMY5zxkxs5lecVcsBCy+Td3PFq9l4iokJPzga/82UlvTDeYEQQUBL7yQjaPBoHyNJ0Z67eErlyzydqWSIume79X/sqzj1Z/Wq3I8uyUP2aFWJiIqO6o6v0/ZP/KORPlgswFPjXs8IlXS0+Em83WxBItbjdpsVCaiBQTXDPS0Q5qiffWjk495+crMyS4lrhsxZ3K8+tMEz9SfuAxITSjJd4bHupq57YRia7tvcYv1eZFyIwyQwsxXZiMMS7CZtzsTA8K24wbrcl+Jvix8FDX1sja3quYJnQtZjcF1Xohs7xzS/HZIz8mom9YvU2rUtet+4iejnVySw8HFSdvdmeGtES4mXH+NSWlZJwxPRVtDw919jFDC0VW91xORKQC6YmIlRRhM0H81KgNJoQWXtF5SfKqNR/SU5H2oFIvmK2J/vCKrksXHnjhnxjnR5SUMtTTvNJa0rLe6mte480WRqTrOyIaSvkLpUluaD+JbVp6vT3QdpG9omub8gPX7Egvswc7Li48cfC7jLPd9rL2jYnLVr6f22ZMRutFozXRxw0t5M2XJpjgn1XncEgO40zoMTMV7ogtYeJUx4LaXGVi4cDMM/H+9Gq7JdKlR82Em69lpRfUhaXbXVctubM0VjhixK20EbNS1ZnSqJJKMs64s1CdVlIG3dctvUv60gscv+qV3UJlsnisNJI/rNlGNNodXxYfSK9xspUpGSivPFoYzh2ae04YwnQWajNN69sul7706nknW50qnSyPF47WstXJUFO4Y+VHN/75vv/97KeMmJm2WyO9zmKPHrdQny+eXDgQX5JcGbiBM/vc5IPV6dKI8qVXmSqdCPzA7b158DfdvDMnLM1Or269pJ6rzRoRI+GV6nkjaiQYZ6x5Yyer52qzTHCNccalF7jC0uzAC+oqkH7xeOGIGbcyZ2oD40wwwcWpk5unppgQprD8ilcQlmYrqVSkI368OlsZs1J269Cvb/iTg1/e+RfF4wv7Xm6bRDR7rt4Lb4U3HPBIxymSIrLXrLpdS8Tbg1J5ltuhJOOcm709vcr3HVmr5Wu793xHuV6VlFIiHM6ozvZ1yg/c+omRp7yp6X1GR/s6JoSulJLu1PR+WS7PWINLr6kdPHyv0d62lnGuBaXStHK9KhPCIMY4tzwsxawAACAASURBVEMpYdsp5bqVYCE/Wh8ZeVpralrGLSsmnXqJfN+V1VrOXr/2fVoi3hmUK3M8ZMWIMSYSsQ5SMmCGYdcOHr5fVqvzWjLRzcORjPKCV5xBnjHGzP6+ldbg4Lv82dnD9ZHRZ83+vkvNzo51slpd4KYVU45TqJ0cedqfyx7hlhU3ujsvMjo71vu5/Gj2a9/6iJ5JL4letvXjVv+Sy5wjxx5WjlOUlWpWLuROFh994n/Za1bdqjdllhodHetkzSlGt27+CHGhFR548LPu+OSu+HXX/InR1bHBHO/Y7c3OHX5x8unSU8/+ozW49NrQsqVXBaXSjHNo+L4glx8Pb1z/AaZrpkgkOokYO/U8EhORSBO37bSs1XLu5NReb3JqDzONSFAsTfFQKPHS1/aNvmfernSDzA99JPwHuk4G58TzOTU/Me6fvPdu57tDK/V1F20yLt10sbF9fMw/8ciD9bujMf6Q66r6lkvMK5ct11YvW66vZkSskJcLlqVC4QiLXX+Tfeeadfqmn/zQ+SYRfWXNOmPzTbdaHxgbCY4JwT49sExbueUS46qubm1JOsObDx/y9n77G7UvNjULdv1N1o3dPVp/Zxfvy+XU/He+Uf1Hzonf8T77N8bHghNE9Ldt7aJr+xXmDZdfbd60YqW+fucO9/ED+71dS/q1f0uleOHDHwv/x2XL9dWKSLl15ZRKsnj4oPdCIsn/Lp+TL9uTSwbKTy+JDgV1WRemMBOnhl0deelymiksO2W2SF/6ia7IQPZocW91wTnjF+o3wsq0r2m++F1/Wpk49mitVp03M62r6gtzh/VoqkdYoWR1euSZUGv3Zum7VaUCT48luxPLL/qgsEKJ3IEd/8KF9j/OFIT8vB2hcCbcOXCFktLP7nr0c+HOgctTKzZ9uDo9+gw3rHi4Y8n24rG9PyCiM54hCrf1bhWGFavn5obNRHpJ4JkRPZrsifYMvqt04uDdTIg/OFOPG6+cH+u+6de/7VfLs9Krl4kxbqVahvKHd3+Labod6191q5lsHgxqlawejXfO733qH5Tv1VKrtnwsvnTNe3IHnvuyEU180y3lx4lOfa5ZTe1rMhsuv9Zu691qJpqWMk0P+ZXStJKBxzjXiTHGDSsm67W8k53cG+tb8ZPy2PDPpP/ar7yh29Hm1Oqt740vXfMeu7X7YqVU4FdKM3o00cWEZsq6U4j1rbw5qNeK5ZFD9+rRxI/9cuFlu85yw4zpkUTX3LM/+0zg1grJoU0fstt7tyVXbPqQVy5M1KZHnyUiFelZfr1Xyo0xzoWZbl3hVUvTbn7uKCkVMM2wjXiqL7Vm28e5YUaEZX8qcKq/3IOFMa6kDLxybswtLpwItXZvMlPNy62mjnVGLNVby07u8Uq5MS0UbbLSratq02M7SEpf+l6ldOLAT6x02+pXen4YYyzU0nVR0+Zr3m2lW1dqoWiz3dZ98WIwROWxow8RI9a0+eo/ZoyL6vTIM5XxY48YsdSP3OLCyKt9HcbHgxFNI33JEjH407vr3333rdYHVq3WN3zpHyt/+x//KPJf/vpv4v988KC/J7cg53/vP0RypZIs1GpU9TzlKkWKceKaxjTDINOyWMi2WfgTn4zGkimWSSR4yjSZpRSpifFg5G/+Z/n/pgY/cCIiCjeF2mMd4b7skfxeUQvKdtpqDTxZ59q/DznILE2s0UPaBXf1NGhsyvUcIlLEiPm54nj9yMhT1R37v6c834leseljWnOqL7Rq4FpmmVHl+Q6PRZrPdY21qqwQ0UvD/5eeGJo/7ecTRPQlIqJP/uYvLJOnX7wKXe7NqbAxyLpXZbpm0akeuIxIMW4aERkELmNEWizcRJwJYozJuleLXjRwfXnPyENElDNbE0uS16z59dqxmV3R9X3XKikDoyXZR0pJpgszqNYLRETK9WtMcI0EF8QZ11PR9sy7N/+BN18c9+aKo/Wp3LGgXMsFpdqC0RTvJqIXu3aL2pHJHURERltygAmuWz3Nq0XEShLRvBazM8krV9/lzhXHrK7MkJ6JdigvcIkxTpxxdaoXByMiMppiXUZTvKc6PPGsO5U7arQm+6Prl1zrl2rz9rL2zUGpliOiWekHnvKCutGc6I2u67u69Pyxe/2Ss0CMMasrM5S+bv1H3Zn8icqB0cdJkQr1t65zZwsnrb6WNfXJheHI2r6rmaFZjDOh/MALKk6OoqGUnol2ipARpXN4xUOucd2IWWkVqIAvBjyB69e5Lh4qTxSPRbviS6UnXSWVLJ7MHdTDRqxecLItGzuujvQkB3OH5p6ffnrsnvk9008klmXWJ5ZlLuKCC2LEpS/delDziydy+/PD2d1uqZ7XbP3u8lh8ONQc6fRrXlm6gVvLVib9mlfhGv+JkiTL44UjiaXpdU6uNutV3KJbdvfJe4fdxNLMOqWU9Mr1QmWyeHxh78xT+WPze4iIpB/48f70Y6mh5k21bGVyYf/MM9KXPuNsbPTe4a9GuhOD5dH8cHW2MmYPZ3drthFlGtfn9808ZcTMVC1bnVRSqWh3YnR258RDftUrSV96SpGcfPTED2Qgvcpk8biTq829XBuMmJUqHJ3f41fdYuHowl7pBfXSaP5wbb46Vc/VZomIKlPFkyd/fPBLyaHmjURE9Zwz6yxUZ19um+fqffBWeUMBD2OMGd1dF9mrV9yi/KAuHackwnZGxmJtRMS4HUqISDgTlCtZb2pmvwpOdbU3+3oy3DBsktKXlcq8dN1a7PJLJTHGKQjqQbE0XR8dfz40uPSayKaL7iLOhXLdqr+QG2FCGCSERr5f55YZ5WE7zSORTP3kyDPu+ORuLZ3qI993GGdcy6T6whet/wApJaXjFETYzmjJRA8xxkQ4nBF2OM1MM+KOju0IKpWs0dmxXtZqeeL/3mXwLI3nIhJpDnK5EX8hNyIdp+hNTu19sZcMM3SbmWbEm5re5+cLk9yyotbyZdcqz68p368HxeK0lkxoKpA+t0NJEYu2qiBwg5pTYJxrynHy3uTUHqOtZQW3Qym9pXmwPjaxU0smuvxcfjQol+djV1x2gptGhIftFNOEoQLflTWnEJRKs87B4XtDSweuMLq7NpaefOb/82Zmh1O33xIye7o2e3PZo6SUIiF05fkOC1lxpusWD4US3sHD93nZ+ROLr+3Gl3ltf0nski0fC61YfiNbHKKifK9WeuqZL9YOD9+v3gZna18twyCTMWKVsiodOeztGx0JjvX1a4Mf+DX7d+azcubpJ+oPDq7Q12zZZl41ORGM+AEF7R2ixzSZNXzI21utqLKmkU5EJAMKlCJ58ID/QiF/Kkyp15WTnZVT1aqs2GEWXbVG38gYY6WSzB/Y5+0M2Sxsh1h4cEhbo2tM1w0ynn3afdg0WcgwmKEUybqr6kIjLRTiod/+D5Hf6lsilh0+6O35ypcqn1u3wdi6arW+USlSD93v/CgIyC8WZX7X8+6Tw4f8vVdeY928boOx5dGH3HuI6GUDnuJ0dWzmYH5nOGO1qUD5q2/t/XB6SexEcao64teDmpJK6SHNXnFj921mRI8tjJQOO0V3wa365cJE5cSb/bpww4oRY5xxoVlNHesZF3pQr+aMWLInqFWyZiIzwIVmWum2VX6tPJd97sG/rI4ffyS5estvJZZf9MHq5MknGWMPv1ywwIRmCTOUCGrlOTORGYh09l+hFsdJqcB3ZODVFoeVnhETp6KuaM/gu1QQuH52Yrdm2mlhhOLsxSFLZ6CCwHOLuZGZJ+/5U79ammaca+1X3vH5+NI1d9htvVtrM6M7CsO7vqnZ0ZaFfU/9gzM/vV8LR9vcwvzxaO+KG1Krtnw02rv8+tTKzV+rzU7sat587bvt9t6tTGimktIvjw4/UBodvl95blWYVkIp5Uf7hm6KdC29SjKumcnmZZGe5dcVj+79nm5H/8qrll7VF3eu6VakZ/Da9qve++uBU5kXZihBTGhcEzbXnGLuwI5/cean9oaaOjf4tXLWLxcmwh1LLo32rbixMLzrG1zTvyd975fmNmGMCyaEoaTvck0P+U51IXBOzVsg606BCc2Uvuc4s2PPS993iBQ52cm9TOhmPTd3uD4/fcBINi8Tlp0OnMpCrH/1bdWp0WcYY19+6WuvfK9GUnpmqmW5ZkdbIt2D1zrZqX21uYmdtZmx57huhK1022oz3TJUmTjxaP7Aji/X83PD0nWKZrptFdfOPpmlsOxEcvXWO9Ort/62X6tk3Xz2qBFN9Ujfq5F0y1w3wn6lOBU41QUlVcB0YZnJ5uXhjv7tsf5Vt8WXrfv70omD98iz9LDinPFLLzOu+YvPxj7Z3SP6u7pFXyTGYpMTwehvfiT8h3/3+cpn/vzPSr//mb+MffH6G8w7iIiEYFp2Lph2HFULJElSpBg7dcguOBOaTno4zKLJJE+ViqowOuqfUIpkPM6TGzfpl37pHyt/S2+DgGf2YO750nR1tF50FwJXuju/Ovw3jBEjRkwpkpopQqGk2VSZr6H3DryppOtVSBHJUmWutvfIfbJSy4UvWfdBs79zM7eteFCszPnZ/IiIhpsYEeOmjpCxQTFdM7WYnVFS+qSUIkZMBYEblJ281dU0NPPVR/6MacJIXLHqg8r1a1Z300oRs5u4LsqJK1Zvq+wfe8xsSw5wU7fL+0Ye4ZYRUV7gcku3/WI1S3Rq6JaI2RlSSpFSUovbGW++OF7adfw+LRFpKT47/OOg5CwwjevOyNx+IqL66NyB2e8//VeyUi9I13ea33fJJ7mh2UG1XhBhM05E8+HVPVc6o3MHRMRK6E2xrurwxLNM10xZdUsiaqWCipMnIqWnom2ZWzZ+1GxPLXVG5vaV95x80MsWx42meLcIW0mzPblUOl6Vcf79xGUraowzXh/LHvSyxdH6xMKwlytPu7OFk7GNAzfWTs7uESE96k4sDPul2rzZmR7Uk+FWImJMEwY3dVuL203KC+rF54/dUz04/uSLvwtq3jkdojX52Ml/m9s99ajyAtfJ1X4efkov8Ijo2OLt5xhnsyd+dOiLU6lQqwjpYbfgzFenSidlIIPBD67zgppXKs9Xp+Z2Tj4s3aDuluoLznxlKnADl4jIr3plItq9ePsF0v/58ek8Ef3sJQ8fWrzRacvsOn2BwrH5faF0+FOB6ztuqZ4nOjXZABHtXbydyVOn3ymN5oeJaPgly9xz+p2ztKHCOPuXl3zffPL0BRaHXB2nl1wd62zPSyN7Yz14+P/P3nuH2XXV58Kr7L736WXOmT6jGc2MZkbSSKNuSbbcexOmmU4I7QLJk3sDN1/ILQkB8pHwXRLgIyQQcIAYDAYXMEi2mi1LsjTqZXo/c+b0svtea90/ZmRkeWRsIBgbv89z/jhndll7rz17r/2u9/e+CEvLWq7ik4lue2R0vzUze1Lu6rgBiaIGEMKMEAfJcpDaThX7tBqsqTZAmMd+nwUQ4iDPyVBaiI6FGPMAMAYAgMzzHKW7axxgTlDWrn6LOzd/zhoa2UMKxSkuFm2Hi0bMVDdypFxOQY4TIccJEGMBMEaJbuQZIa7QUL9WbKhb46TmTlvnB3cpq3rvhoIgQ4xFr1iawn5/AipyCPK8BDleorZTpaZZBC9P3s6obVeobVdxMFDnFYqT9sTUEVrVM4wxKjQ1rGOWXcF+fxLLchUH/AlAiAMgQHw83ik21K3mEzVxZttVYtkVyHEi5HkZ8ZxEXdcEECKiGzlnNnUKioJKLauMA74k1tSY2NS4QWyoV+Xe7hDzPAsAACDHiUgQVMAAAwBC5romKZdTAALIXNcEAADmOLrQUN+PZCnAHNdYqIEEgFl2Gfu0OHNcA/t9CSzL81wkHJGWt+1Yqm8hxtylagKIEIq/950387FY+4LqRwoyQlzflk0fNIdG9gAAfuslN7+XYIDlMjRt28zUdVb9xRPWjxAE6Pqb5XtcFzi5LJ03TWbYNrMTSdxQW4ebKAOUUkA4Hgr/9nX9i5IMlTvult8OAACmyYyFtAgGBAGIAADgOsyZnycpSgBNJHB9JIri4QiKf/87xj+Pj5EhCAEMBFAoXoNraxKo7sSAe2j3E9bDAABAKWBd3dxqDgPsecxt7+B6kklcH4vj5A++a3z9mf327h3XS8rii16r5kOBUokWgmEU0XVWOXjA3tXdy69VNeiPJ1AdQvDolUotcqPls7nR8jnPIkY1Y6Y8h9pbPrjir0qz+nh51phYdW+rd9WHuzuaNsSvJS517LJbBEnYNLxn9ieO4f1GJT9LwTMq85ysxRgh7tzTj33K0ytzUqSmmxOVEBJEn1q/4na3WpqGnKDYxcyQnGhcr9Yt205tqwQAgIHlq99szk8fBVeI81zw0MGCEIguE0M1neXRM49wshYrDZ98KNa/45OeUZ1n5MoKF0aJQx2rXDhz6F/NzOwJJdG4DlDqmfNTxzzLyIMrpIZgSYkwzzEgxryvpetW5roGRFhYMPBNnXKrpWkxFO8wMzMneC3YINc0rke8oELE8dnj+/4/YpulwLLeu2u23Pa31LWqxNDnK5MXdgHAqJVLn4EIC1pD2w5O1qLE1PNWbu60lU2dcgrZIdeopLEoB6N9Wz8W7Fr7Ds/UsxDjv/9V3j6IF5RAR999wfZVO6tTQ08Syyy41dKMVMqNMko8t1qewZISjq+77lOMUq86Nbibuo6up8YPAkLdYOfa+xfOOPfglVRVan3bdkY8B0KIjLmpI3KsdpWZmRlwF5RKkDh2BWIsiMF4u1spTprp6aMAMOZvX3Wv1tB2jT4zur+YGn8m0NZ7T7h34wf0qcFdAICZF/YZ9TyjMh9ZtfVjVmZmoHD28DeM1MQhXgvUqvVt14R7NryP14INTqUwoU+P7BdCsXa5pqEfy0pECESXYVmLLlwTL/4f4iQlFFtz9Z/6WrpuRbygCtxCmZyrl2YZoJRYZoHaZtEp58bkWF0fp2jx8sjpn7iV/DivBmqxosWTV932eV711yJe+Dp1lzbjFwQg7LxPfncuS+cLBZY7e8YdiMdRcvkqvmd2hkxu2SLs+OFD5rd+9lP7Ic0H/aoCtb41/MavfFn/3OiId2HhPAAaDKFwdw+/5vQp99jyDq5bUaB2863SvcUCzf/kx9Z3Dx9y9nV0cD2f/bvA1+EVyMrXGiCCmFFGqMc8zyE2WFAgAIQRlsNiLNzs70z0hDfkR8tnwYuVDG/gDfzaYI5rAUq9yt6j/2oOnHsEyVIAQoiRIvmtwfEDzuj0EbG9abPQVNsHEMTUtH8vU2HfwMsAY8wtVFKcX4kwygjEkCOGXRZ5TgQQQK9qFZzZ/LDa07hdTIZaqeOafMRX6xWqs4xQj1TNAhdqSOZ3nfhm9dTEHqkxtsK3quU6J1OaBIvR0ABC4OWrKS6gxJhHXcAAoKZTVTrqNjpzxVGvZFwMvbAXP4BRRoWaYIvUFOsmFTOPRF4lhl3GqhiEPCciDvP+zR2AVM281BzvrR4f213Ye/o7fFCrCW5f8RY3U5pklBFAKJFba1ZJ9dEOxhhDsuBzM+Vp6niW2tXw08Tbt/0PezY/6FvTekP58NAj1HJ0arsmY4wiRQyUDg3+hLnEhjwWhHigCSliwJ7MnPF0qyjWRToQhwWps36jPZsfBhCiysDoL4R4oIk6nqn1NG1HIq/YM7lBe64w+rsszwIAACtvzINXMNmxSF7kwAuVbwAAAFzdLRsZfdrTnUp5LH/G1Z3f+f+8mdNf1cmMPyQxwcvBb0bwMEa9XH6Mi0XbsT9Qi32+GshxElKkoNLddauTmjvlzmcGSak8o23ofxc1rSIpV9LW4PCT1LLKUOBl38b17xVqk/+srlkdhjwvX4zoc+bSZ6lpFCBGPHMcwxoa3sMopUJdrYhkyQ9FUaOWXfFyhTGhoX6NFAxsR6oSQZLkhwhxXqEw6eULE6SqZwCESO7uugVACCFCnLq69x7z/ODPqWEUsKZGldUrd3rZ3AgSBQ1Jot/LZIcgz4lIlgPgoj8CYwxQ6jHKCGCUAoRsZ3p2AKlKRKiJdwj1dX1ePj9OVSXsTs+ecKZmBpjj6GJr82axpXkzI8SxxycPI5+vhosIzb5tWz5KypU5dz4zSIqlaS+fH+dr4p3UcfQFAgtCiCCGPC8ByogzkzrhTM0cAw1wjdLddYuXTPQwz7WsoZE9biYzBCgl1F40VoMAsgXVUhmp6gIrDwAAbGE2AAAAocArSBQ1JIoaqVTS9uT0cxAAwCcSK8SG+rWMMUp1PUvKlfSL+rZnxe1IEJ6giwlejFIaf887PVKppIlezeoDx/8DqUpEXdl7D5KkAHixLPd1CcYAs21mSTJUJ8bJMPGABznAyzJQEAJYlKA8NEjPpGatyXKJFSYnvJG2dn4FpYyaBtVdlzmKCrVigeYoBdQ0WLVYoLlwBMUCQRRWFKR2ruAgz0NBCUDV54eBaAwlNA35OR7yGAN80ZjZ54eBSBTXcJzHYwy4BV8g4DEKKIAAug5wMAbcfJqkbJvZioZ8Pj8KrOkXvKlJMppIonpBgIIkQblUpAWeA7znAW9k2DuradDn96EAhFf2DtGzVrr/7e3na7pCa6cHsk+LGh8INWhttSsjGx3dLROPeowCOro/9bgcEqN2xS0WJytDqdP5Q/8ZfUMss0Bso2AXM0OCP9wS6d38Qd4faqKOXSGOWSqPnn2EU31JOVq7EkKIxGBsuVspTEBeUBEvqr6mjutzx/c3AADOLL0HiCDEnF2Yv1AaPvmQGIp1VMbOPU4sI49FKeBWilMvZbRKiee4enl20Yz3o04xO1QZP/+EFE2uXPD0WXpdLMp+3hdqDK1Y/x47nz7r6JU5z6imnVJuTAzHOyHCfGXi/BPEMnKMEIcBwLSGtmvt/PxZMz11NLRi3buM9NRzlYnzP4uu2f4nAAAmBmPtZmZmQE02bxbDNSv02bED+szofjle1+df1nOnlU+f9YxqhtcCdViUApnnnvy8Wt92TWhF/zut7MwJCOHPX0LpxAc7+u6t2XjjXznl/ASn+OKMMlKdGtptF7PD/pauW6Roshfxgmqkxp919fKsGK7pFEPxjuK5ow8gQfRBzAmxddd+0sqmTgEATiy1H7mmYX11amg3p/hqhFCsQwhEWoltFgEAgFf9dWIo3gEgRMQy8pXxcz/1zGpGqW3ZIgZjy83M7HFzbuKQFG9Yg3hRFUUlqNa3XQMAeOCyo4EAQlgaHPgeAIwlttz2WTMzc5y6jg4RxGZmZsDVK3NSJNEd6uq/vzR86kfENvKMLMymVScHd5nZ2ROXnyssiGpk9dYPyjX1a8301BGnUpgw56cHIMK8FEl0i6HYcuLYFV7xJbAoB6vTw08Vh07+QAzFOrCsRannmJgxWp0aejLcu+mPXb2cggj/cCmzaoQgCgZR5F+/rv+DbTOrXGLFb/+b8eW//lv/V6anyfgD3za+4jrMee6I83RLK7c8FkeJ+Xk6V1uLG8bHyODb7pc/+O/fNr5q6EzvX8dfRQgjiQSuC4VQZO9T9s92XCve9v982vf3n/nryp+l03TWddnrhuxv3pK8KdzqX8GJWFr3nq4CcalDCfW672qxGWXUX6s2S34htHiffAO/RUAO85DnZShwEmCAMdupMse1Xm9m1tinRuVVy28SGmtX44BWAzHimOvZUlfLVoAgknvbbhDbGzcBAIB9fmx/ZdfBf8LhYIPQVNsnr+64DYq8Chijwbuv/XTNn77zI0vtgzmuUdlz5Ovm6eHLZ+3fwK8BiBGGPCdBnpcBXkg6Y7ajvxJftEuxoKB3dQ+aiHnEgZjjAGXUq5h5LqzVIh6LjDEW2NR5Ru2s38QIdbEs+LAiBviIr5bzyxEuqMbM0fQAI5QINcEygwBAACEQeQVQShghHrUdnehIoLZrQAGLAEJoz+SHIHpxsjFEEIWu7r1Xaor1Mko9LIk+yGEBIoSFeKAJMAaQxKtcQI0JsUCjWBtuLx8eepQRSjhNNqhLHAAgwIrgZ5QRIeZvsGfzw0gRfIxQl3kLNhlupjRhz+QuYE0OAQQxFDiZOp7p5irTSBH9VLdL1F6YwOY0SaSOZ6k9jduwIvqcdGncGJw5ZM/mh5jjmtT2TGo6FePCzLN8WEsGNnbcaZl2RW6K96orGra42fIUH9J+6Baqr0l1qac7FSksJ9wqKF00bH4Df9j4jQgeRinFmrof8pyENV8NMc0i8zybr4ktx35fDR0e2WMMnPwBAICRYmmWT9as8IrFaWpZJf3o8e9Jy9uugRwnA0YpqVbnEc8r1LLLAABACsUpJ5U+Ky/31VjDo/tIuZICAADgeTYpV+ZIuTIHGKNuJjtUPXz020hRQtQwC1wk3CI21K2hhll0Z+dOG6fOPMJFIi2MeA4pV1JC7YKZM8BYtMcnDnqlcgoihKlll8WWpo1cMFDPXNcUGxv6/Vdv/fhFRRCEEHml8ixzHJ25rmmPjj/tzKXPWoPDu2nVyPLx6HJqmAVqmkUvX5jwCoUJiDnRTc9fEOqSvYxQ15mZPeGVStPSstZtOBiod1Nzp0mlOu9lssPEMArKyh6dGmbBKxSnqG1Xqe1UvWx+jLmOwVzXqh4++i0xPX9OqE32UsMoutnciFcoTpJiaZoLBhqoYeQBZWTBXJkSUqqkmOtZFxU8biYzRKrVeVIoTiJVjZJKJU3KlTSjlCKB/xnkeQVJkp9PJrohz8v25NQR5jj6Un0LLk9lIMThwqEm5nkWUuSwUFu7CkqSH4miCv5ACB4IAdQ05CeUEYQABgBA22Z2axu3H0KA6upxczyOkpbFzGAIROZSZHpo0D1TWy81+wMoeOMt0s5ymRVVDfoZA9R1mXv2tDuw9WrxphW9fJ/nAZcQ4FEKqOsC13GAnZqlU6Wil+9fL2ytb8AtqgZ9x4+6B2emyIReZRWfDwWuv1m6h1HApqfIGEIAUgooQgAPXvBOb7uG3SRJQL71Dvktra1cpy8Ag64D7JkpOm4YZWUtkAAAIABJREFUVLcdZksSlDkO8gwAZlnMJAQQRYXar3pxOf/z6QfDrb4uTsRybqxyrqYruMbR3crEofknsYDEwmR1yCq7hdKsMda+o/buEz8Y/Zpr/vbVOwAAwChxGSFOZNWWj9jF7JA+PbpPP/rk3xFTzzJGPcAAQLygRvu2fyLcu/EDRmrioDk/dZS6TtWcmzwsxZIr1fpl28AVCR4AAASQ9wUbAm0r761OXvgF7w81hno2vA/xkuZWiy8ZNc2IZ/NasN7fvmonRIjjVF+Nf1n3HUIguqw0dPKH4ApEGhKkgGfqudzxff8HQsRpzV03VibO/4yYehbLSkSfGTsAIMQL5sWx5UIw2ladHNxVHj3zqByrXeWUcqP69MgePhBupY5ddcuFCbuYGWSEOHYxO1wcOv6gEIgui67Z/idKTeM6p5gbMVLjB5VE43oAACiPnHqYU/3J8vCpH1LXqYZ7N/2RlU2dBACklmqv4As2hHs2fWCBIArWsThdS8n4M1pD+7X+Zb13U9fRGXFNYuo5xAuqv6X7NuKYJX1qeA/vDzYKvlBjdXLoSbmmoV9r6rgeInR6KeNqaptFalsljzfyAoDAyqfPYVmLB+J1fa5ematODz0JAEKcrETU+rbtWuPya6nnWtXJC08Q2yyJ4ZoVdj59zpybPBLt2/Zxpa71KixIDxPHel7CzYhrzTz5gw8zzzXEUE1XqGvdu4zU+EG7MH+e9wUbIYBIjNR0ieFYR3Xywq7Mc09+DlDiAggxxJwIIUTEsV6gCIMQQq2xY7OSbNk8f+gXf0M9R5drGtcpNY3riGXk3GppWgzXdMmxuj6IOUFtaN9BXafqmZV56tiV/KmDX8OiHNSnR/YwxqjW0H5NbM32T1jZ2RPgxdLnhT4RoCCIUHziZ/aP3v0e5WMP/8h8YO8e52c9vdxaBgBwHOZ09/CZbdvxjS2tuP34gPuspkH/XfdI79i+XbwRQgAfe8T6/pO77Ue7e/g+ngNCIonqBRGI3/l38///2CfUv2xuxm2VMivyPHzdROIiDnKYQzwnYJmLSpJVcvJYwCIWkGRX3WJpRh+dP18oOob3O5X9vx4BEUJIlUM46EvikL/Ot2PDcqEpuVpoSPQyjzjW+bG99uj0YXFZ/Swp6Wlars5T58UlnK81SN3Lrg2/7ZYvIEUKAIQ4ACFcKNOBCAIAhOa6tbRq5Kr7j/2bly1O8MlYF5RFn9hU28cMq+hlCqNcNNQiLqtfT4rVOVIsp6huFhihLhcNNvF18RXMI451YfwAeHFZxht4mUCyqOGAL4FD/lptS1+r0JhYyTcmV2FNidgjU4etC+P7pI7mcVKqpkm5mmamXXm5ZCRSxIC8LNFHqlYBcogHDDDsk8PM9gzmeAYUeQUAAJzZ/JA5mh4ACCIkC5pXNQvufHGCVKw855MjkMcSAAAwx7O8kp4hulXk44EmRhmBAifJrYk+6ngWEjjZK+hzxLQr9nT2ApIEDXKYY94vlblcQI0FtnTeS6pW0Z7JD1YGRn4uNcRWSI2xFUjgZYgQIqZTcTPlKUaoh2XBd9FEmBHqeSUjQ0pGRmqJr2QesYnp6HzU30AMu8SHfXV82FcLEUzJbcmkVzZzkMPCQm3CQgqoUBtutyczZynPPR+IQ+0FHyFrfP4UYIwR3Spa4/OnGKEudTwHIoQukmyI535ojqYH1M76zVJ3w1ZrInOK8ysx35rWmxDPfY+6V/Zb/H3F7P7xhyEHeUYYIZa3pGL3Dfxh4Tc2WSZVPQcA+N7LWPTy+rbTi5+LOHfpwoxSgiTpS9aFwV+4qfQZ5nkuAAA46fkLAIBPXLbtycUPgAhN28Mj+y65eT562bI/uez7+cX1kHH85A8YpQxCCJGihO2JqSOAMeIVSzN8ONTMPM+GHCdARQ4BhDjAGCPlyjwA4BeLn8thgAVDuOHLfvv3JZYFxsnTP4EIPXoJ03957WIZLDyEl3oQjwMAPn3Zb9+89Ev1yLFL9zsGADhy8cviYMgCC74q45cs97KMOpnnWYxQt3rk6LetoeGn1DXEFupqV0Gek1/O+q8HMAAA5gBOxHF9Pkfn4SL9MTdLpwcveKd4HvINTdyy+TkyY5rMcF3mzKfp7JFn7b3VCl/SfChQKJAshBB2dHGr9z1l/3Ro0Du9Zp2whTHKelby/fEaVDs86J2ZGCfDjDH6+E/M7/E8FOIJVLuqT9gIAAC84Al7nrQfq0ngOkqYt36TeE0kiuK5LE0LIhA7OrnecokV9CqttLRyD2y9Rry5rZ3vjtWgxMQYGS4Vaf7EceeQYwMrEsFxxhitVlkZMAAwgth2gIUgQOBXlFroOWvu8DcHP999a+P9TRvi17oWMVyLGHreTiMMOcAAEzU+kOgO9Rt5e37mRO7p/yyJJXUdPX/60L8Q2ygYqfFnPKOaXWKxilrX+mhk9ZaPGKnxg5R4NvNcM3fy6a+Eeza+X61btg0A8JUr7oQxtpiUtBtLSlhtaN/h6eUUdayyZ7z0rBDzPNszKunsc7s/xwh15Zr6tYxSN7bu2k8RxyqCKwwGsSD5PaOaFsOJFcGOvrdS16ky4jlSvH4NJysRuaah35ibPGykxg9a2dQpJdG4Xo7VrU5svvl/I0EKlC4c+y4WpSAW5eD8kd2fdYrZwWDn2vup6+iloeMPBjvXvkNr6rjBSE0crIyeeUTwR1pD3Rveyym+RGX87GNipGYFQpxYnbjwhF3MDDXe+q4Hfc2dN0OMv7VUqZbW1HGjEAi3OKXciJVLzTjF3IinV9Lh7g3vs/Pps8ULx75jzk8PEMvIc7Ia9betvDfUveG9vC9Yv2Ak7RpGavygPj28J7xyy4cgx0tgifIXu5A5L4ZiHZDjpcromUd4f6hJTTZvhhyvZI7s/mzh7OFvMkoJFiRNSTZtqtl08/9GHC/L8fp+JEh+Y3bsAOIFTWvquBEAAJV4/VpOVmPgEpPsxWdMBgAApGjSJLZZ5GQ1KkVW7jTSU0cABECKJHsgRNgp5ceoa18cdLlg4V774v6U1Ui4d+MHzPTEYeo51VDXunf7WrtvT+19+OOMUhLrv+a/EVPPpp95/C88U8/I8fq1WFJC/taeO5EgaJ5eTunTI3s5LVDHyWokf+bQv4Y6+98RaF/1JgDA3yxxyQLiMS/gR6GDB+09Ag+FSATFz55xB2IxlLj6auEmnx8daWzEIBhC4UAAhXM5mnlqt/3Yp/+n74uVKitnMzS9abN4zeiId/7IIefAtdeJt+7b4/zs7e+QP/TIj63vPrXbfqx1GdcxM0MmeR6I7Fckhr1WMHV4/snMheIJXuIUwccFPIuYgAGmRKUEYIDpWStVmKgMuubrY7ANEUIAIw6JgsrVRNq4aLAZB3wJ7FdjUOBlyGERUEbcTH7Unc2cc6fTp0nFyF0cu/06+8N+NS52tmwPveXmdXxNuI2LhVu4aLAJyqIfEOoxQlzIYV5sb9zMXM8ihfIsyZemvWxxPHD79nPORGrAmZgdoLpVAoS4v6nCByIIIceJAEK0eE9e2N6CUewvpzwYYMwj7q8qV31+uxzm4CKBwwjxmEdcAABAkqBCWfQ7E6kTxtGzDy/uCynruu9mjmcjnxLWDwx82x6aeIaLhVv4xuRKJIl+89TQE8bxC4/z8Uir/9at/5UUy6nqvmPf8LKFCUaIK3W2bPddve79v2zAb64ygxhzSJECQmNyldCUXI1D/noAGCX58owznT7jTM6doIZZAIS6jNLXVD+8aDkIIZQEVWytXy92tGyNvPfuDj4WbsGxYDP2qTEAFqPsIUR8Q2Kltm3tu0lZnyf50rSXK065c9kL6saVJ53R6SOkWEkxjzhXUvhgWfB5BX0Oa1IYYiwAQl2i2yWIEQ8gRBdTf4nt6FxQiSNJUL1CdY65xCZVuyDWhZcDtGBAjHicEZLhCKfKQcgAoKZbAZQSJAmaVzHzSBJUJC4kHouJ0DKIMc88YjPb1ZEknOY0Kbxo9uwwlziMMsIF1RpqOlU+6q/nQmoCcIjnIlotnMkNeiUjI7fEVwKEkNgQ7UQ8Po19io8PqnEIAGMusanjWebI3DF/f9stECNeaoh2Jd55zWfs6ew5IR5o8opGxrgwc0hIhtuo7eqAMQII9ajl6niR3AIAAOp6jr+/7WlGqKN21W/WVjXvwJoUBAji4JZO7Otr0ZEk7Fc76zYqnfXEHEkdKx8bfYIxxqzx+ZN8xFcv1keWLxJhrzmCx7NcEwBgvtrteAO/P/jNY9L/E0EtqwoAeO6VrPNryyAvWY8xxiDHnfFy+TEAAWSUUQtj/tKHILPsyst9aPy67XgtgXmei1Ul7Nu4/n3q2r638uFwy0IZmOR7tdv2uwJjgGYzNM0AAMUCzV0cShoG1TkOHh4Z9M6KEpQXVDiMViustOhhc0EU4TgAAAAI4Pmz7oldT4CHsxk65zjMqa3D37/tTvmtpsn0I4ecvcQDHqWMZDM0nZ4jswhBmJolkyND3llBgCICEHgusLNpOrthrbTBzIP5nz5jPZma82Ywhnh8tDyo66z6lf8DwNioN6QoaEbVLD+EAFomM1wPuLbFTIwB989frn7WI8wzqqxCCCM+H3rqxIBziBDmeR57yet/kawZlQLCl1o21dzQvqPubk7CcrI3vMEuOwUsYhlziM8Mlk6eeGj0a0beXop0+a2AurYOMf4OoNR7yVIp1654llnwtXTdYhezw04pN8o813TKuTGtvu1qXvXFXX0pI+EFc0I7nz7rmdUsr/lrM0d2f1aKJHrkeP0aRpceKD6/NvEsLCkRrWH5tUIo1q5Pj+xbIF6kwEuNvLEoBQBgDPGiVp0c/LlbLc5AhHnqWhWCsTC3/5H/aqTGn10w4iVueeTUw/H11/9FoH3lzsK5576FRDngq2lcZ2ZmBgClrr+1+04hEG4pXjj2nUD7qjdJkcSK9NOPfdLKzZ1hxHMQL6rS4MD3Yv07/lytb7uGU/2J0uDx7wfaV91npCcPlUdO/9jX0n1befjUj8BlaSe8FqhNXn33jvLI6Z8Q2ywoyaZNUjTZ62vuvKk6NfxU5siuz3h6ee6S/pnmZPXbcry+TwzHu9xqedZMTx6hjl1BoujjFC0u+EKN4LLJAQAAwLIWL4+celgMxTulaLIXcpwEMSd6RjVtpqeeu6j6IY5VhQg9iWU1Wn/dfV/LHtv3RX1mZG+4Z+MHkCD53EphktcCdUIg0ookJQQWfVZe1H+UeJATZN4XbCgNHn+Qeq4RXN73FjEUWw7gxfSTlwbCHB9eteV+Jdm0EctaTI439AOEuOrk4C8Y8Zz4xhs/befmzqUPPvFXnrFwniBE5wEESJ8e2Vd3/Zu/Hu7d9Mfm/MwxXvXXunpphlcDta5RmfM1d90sBMIPOKUXJWsxQgHx+2GwWGDZc+fcEytXCes0DfoEAYiVCivt3Cm/+9w57wRjjP37A8ZXS0Wan5oiY1/9sv75D31E/eSzB5099+6U39XSKrZ/+R/1v+UFKFo2s777HfNr2Sydf+gH1rfedr/8x21tXGe5zIqeB37rz81XA3rWTAMAnk/8kwNiONkX3RJbHloFIUDllD5RntVfdpLZ7ysgxwlcJNCgrOteI69cfqPQVLsGa0oEYMRBnhPh4tgIYswDjHhmuzo1rfJFA2Cps+UxZzJ1ghrWkv5lSwEpkl/b0ne3b8f6P+YSkXbIcQK1bR1Jog9izLkz82fNgfOPOKnMeW3z6rdjvxpHihzkwoF6pEgBsb1xk0Kox0y77BXKM/bg+AHj+IVHcUA7SStG9tcdZ/ENyVXBu3b8JRcJNFDTKjPXswCAEKlSEMlS4GJAB60aOeO5sz/CmvJNUjVeFEawQBCIGg5oCS4Wag7efvUmsb1xE5REn3niwuMQ488zQjyAEAcoI+aZkV2lx/f/vxfXNo6efVjbtvY96vrenZDjRGXDyjcDSj1j4NwjJFucgJKgKWu6bpc6W64WGhIrbccxvEx+TGiq7dO2r32v0JDoBYxRZtkVwHHir3MuLgKrSohLRNoCt269Tl7deRsXDtQxz7ORLAaQpoSZS2xm2VVSqqSsoclnrDMjT/KJ6EkvV5xi7itPXnxV+uHSdTDmpM6WLf6btnxCaK1fh2TxeU9LpCphki9NWefH9lpnR54SO5q3issa1kOEOBwNNiORV/n6mh5lTdft1LQrtGJk7fGZo+bxC4/x8fAhL1+avFQps3B+pSBWxSAAgAEIIeAQjxXBDwBgXr6aAmTRHJcBBiBEXlGfRyKvMkIJH9KOiw2RLuZR17e27SYhEWolhl2mtmtgnxwGEELGAEMir3J+JcoczwQQIjdfTTmZ0kRgY8ed5tj8SbE+0kkqZt6dL00ACGH20ef+yauYOa9kZPmor672/dd/wRieO4ZEXnFmC8OBjR138SEtWTk+tkusDbUxQjylLdnPaVLIzVfnmEdcKHASH/XXA8aonSoMF/ae+Y7SllxLqmZeaox3u4roNycypyFCHEAIlY8MPcYIcQFljDquKTZGuy6f+LKnc+d9a1pvBAjxWOJVX1/rDeZY+oRXMjJCItiChlLP+dcvv0NMhpZZE5nTUOJVatgVLqjG+ZCWtKayZxeupTfwBl77+L0meF5NMM9zwGuQxX21YJw68zCpVOcABAhJkp8UipNuLj/uFYtTr3bbfldwHeYCAL641N88jxEAQGnx8yLYNrt0oPMCo7LZGTIJAPgcAAv13QAAcKkZ3CJJxAAAxZ5Osfvma9VbfvhY9Yc9nULPnTdpdzY3cs1f+nrxS1NT3phlUgIui+o2DGqABWXZiw4JXPZCW6nQMriC0fCVYJWcAgDgP+SQuKtxbezqaJu/R1B5X2XenJkZyB6YP18cIN6VE6Z+W2DklyQLwpwgRZO9YiSxglO0Gog5kXmu6V/WGwCMelY+fc7Op8/p06P77ML8eSma7IEcL/P+SCtYwhSPMUYYJa6caFwfMPWcnhp/Wq5pWOdr7rwRS3IIccJLKtko8SwIIUKi5AeUUiSImtbYcT3iRQ1yvAIAXNLvCAmSHzDGqGtXpUhNN6f6a91qcRpiTioNnfhBefTMo4y+YMA4y/uCnxGC0bZo37aPm5nZE0Zq/KAYjndS2yozwEjhzOFvII6X/a09d8w9/einjLnJS0n2MgDggBRNFhpuevsDvOqvxZIa4VR/gphG3pybOKQ1Lr8OiXIQXEbwqPXLtgtasKG0EFUOM0ef+jwgxE1uv+sfEMfLwY61bwcAgNjaHc+vE+7ZiDlFi0uxulUAIiSG451yTWaI2GYRC5JfCEbbwRIEj1PMDDnF7DCnaHG3UpgQApFljHg24kWN9wXrIYQnLxJJjFLCq/6nqtMje6jnmp6p54z01HO8FqjlVF/CSI0f9LesuJVX/XUQwoElCUJKPUY9x9Mrc0IgukwMxzuRIPmJbZU4zMuIF35lio0YjneFVqx/t1stzejTw3ukSKJbCtd0Mc81AstXvQkwxjJHn/o7Vy89X/7GGGUAAAIRPlMaPPH9xFW3fMbfvmqnWylO6jMj++xc+qynl+dCPRvf52vuugVC+NXL268oUIvGUE1zC26XFajdvkXYEQ6jWFVnleeOuAfeer/ygfFRb7C5BbdnszRdLrJCXT1uAgyA0RFy/pod4i1t7VxXYxNeBgAAvSv5/rp63HTsOeeZrduEGyplVspk6Nx114m3nz/nntSr7HVn+CoovNZ5S+POujXxbQACVEkZE2pEqkmuimzkRPxTzya/1ovsqw0uHKj137T57er63jcJjclVXq44SSt6lppWyZlMnaBVI+dlCmMAMKZsWPlmsblurTU4fsAZm3lOaKnr9+3Y8EHt6nXv1w+dfFBsrv2aMzl38leRKxAjrF297i3h+278nJcrThrHzv3YnU6fgQKvKP3dd1nnx/aZxy88LjQmVvqv2/gRZ2J2oPz4/i9o16x7P/apcXtk+pDYWr/eHpl8FvnUqLxi2bW+GzZ/TNu69t3WudE9lScPfxUi9PNXSvJAhJDvhk1XK/0r7gZgwbuGGlaRGlaJ6mbRyxbGqW4VqWEWIca8/6Ytf7oYJvJFtljygSRB4etqenzXbugXWurWis11a3DQl/QK5VlAqcvX1/RCDvPlnz/zJQBABSy8tjNAiPu8qkfgJbmv8zbf1eveDyVBU9b3vMk4evZhUqrOScubr+K3Rd+D/WqNm84NUd3MA0YJFw01h++/7Yt8bazTmUgdLz2+/wvubOac/4bN/0XqXnbdr3NtIFFQpK6W7eH7b32z1Nt2AxfwJQAAwMuXpt10bpiLBBuRT4shCWtOrjjpFSopeVXHLdq2te91U5nz5sD5R8XWhkecqdQJ9gpKYl6lfngeQkvtmvC7bv9HJMsBe3jyWWd8doCaVklZ3XkbdT1TPzDwbYgRr2xa9RYkS4HCfzzxKam9cbPc3323efTsw2JH81XudPoMtR1d6mzZpm5Y+WZ1fe999tjMc/ozxx9AivTApWQoUkT/okqmvDCNyIjSWb9xkRyD1Frw3lxU9EAnXRy7mJrmFqppPuJ7UGmv7YcCJ0GMeGeuMCq3JlbLbck1Tro4DjHikcgrXEitIWUzBxhjxLArnF/5KnOIJTZGu4RYoNHIVWaRLGheUZ9nlFK1q/7b/rXLbiJFfR4wwNxMaYJUzXxgY8edAEHMPOpWT4zvLh8aekTpqF2PfXIUIoScTGkSyYImL0usQSKvQh5L1HaLAIDH+ZB2TFvVfA3nUyJ8xFcnxIPN5SNDj9oz+SFrbO44o4wFNncGsSL6sSIGvLL5gklBJ1OarJ4Y383H/I1ye22/WBtq44JqXKyLLNdPT+yjtmvopyf2kqqZR4rox7KgVY+P7fL1td5AHdesHh/bteAP9AbewGsfbxA8b+C3AuPc+ScgQj8HjAHAcQKEEDHPs35TKe4fKiCCUIooyciq2q1K0t/CSZyKZV7tfE9/ZXrX0HfBCyMLn8fKFeKqRBwnKlVSvn67cr1hURMAAO+9Tbt3atabAq9QEffrAAtYCNQqzYv10swo2BmzaOfNgp0DADyEEPwR5BBHFxIcGAAAYA5xiEcCI4wsJtL8pwDxgqLWtmypu/7N74AYC9RxqrzqS5bHzj3m6eWUFK/rgwgL/pYVtxqiEpYiyR67MH/BLmaHAYSIk9XIkhumlFDiWbzqr4UIYV71JbGkRIzZ8Wc4xVeDeEF7qXYx4jlutTSdP3Xwa4gXVF9L922V8XM/FYLRNsQLypUE9IjjFSma7PWMSsop50exKAeDnWvv59VAbXX83E8vI3cAAAC4leKMVr/sr3ktWM9JSkRJNm+CCHF2Pn0OIszxaqDuoqmzU84vqVhxK4Upa376mG9Z711yTcO66vi5xxHHy77mrlt41V8rhmu6wCXkIOIFpWbTTWukaLIXYsyb89NHOVmNcIov7hmVeQAhwpIcQvxCEiDiOZnTgg1YkHy8L9jgFLMjvOJLSOGaLiyIfn16ZC/kOIlX/cklzydjlDHqSZHaXqW2aRMAECFeUJ7fx2XwzOp8ZfTsY4GOvjcbqbFnEMeJYrhmBaDExZIahogTeF+gblGJ86J7GmOMMNcxxHBNlzk/fcxb9HaqTg7uiq2/7r8jXnzJ/kccL8X6d9yFMCfZlcJEoH3lTs+ozOnTI3s41Z/0t/bemXlu9+ec0tL9wSjxlGTTXmIaeYixYMyOPQMoJVpTx41YVIIQQqTWtl5VujDwPXAZ8UYI8O66R77/+hukO6MxVCMIQKAUUB+C6J6d8jtVBWo9K/l+RgG97TbpPtcFrucxj1JAIAKI5xZ8dWZn6GR9PW7OzNM5CAHcvEXcwXGAhxBAXoCiIADx0LPO3mqVviKC+LUAJSLGQ83+Tqtk58opY9Is2Jloe2ClL6E0Yh6JYDF55rUCJPCyvHL5TdEP3fcxPhFd7qVzw/kHHvmEPTJ9WOps2apdve6PvGxxorL70Fe5eLhF27z67VhTo5WnDn+t9PiBL5BiJcUnIm3+Gzd/XLt63fu1LX33Sx0tWyu7D30F+9UHSVm/sloTIU5qb7qKUeoVvv+Lv3BTmfNSd9t1vo0r3+LOZYcgRrx6Vd87sF+NA4w4Utbn1av63snHI22kauSoYRYru5/9MmOMklI1XXny8NeU/u671fU9b5L7Om/joqEmUqqkwWUxvy8HEEIAGGDmqcEnig/t+jRzPYt5ns1cYgPPs5lHHCjwirqh903Kht771E0r3+qMTh1W1nT5pM6WbTV/9u71OByohwhidzZzvvzkoa86YzNHqWVXlL7O20IN168kFT3HFgMzmOVUAaWEi4dbIUIIh/x1wXuu+6h2df/7oCRogFAX8pwoLW/aQipG1p2eO1U+OfQENc0iVpWwsqH3PsAAoLpZsM6N7S3+aPf/8rKFMapbRaTKoSuV/r7ktSEKirCsYX3kfXf/kdhctwaH/fVQFNSL/kDYr8WkFeoOwAAj+eKkdXb0qcq+o98AlFEc9CWU1R23yauW36RtW/seZX3vm+zhyYNSZ8s3nLGZo9ReOu3v1e6HSyE2163FPi1W3vXsl/Vnjj/AJ6Mdvus2fgRwmPem5k7Ka7puhwjxQl18hXH07I+VNZ2388lYB/A8GyCIq3uOfP2i6kg/cOxbYnvTZm3rmncLTcnVQl18BbMdAyL0rYsEZPnQ4E/M4dRzzCOuky6OAcpo6l93/TfIcwJziWOnCsMAAODmKjPz/3Hgb6jjmWChhB4s/j6LJWEXQBBBnpOo7RpeUU8bw6nnvIKeZi6xjaHZw6lvPvlJQChxc5VpAADwykYOCdw/8lF/PVbEALVdAzDG3Hx1FgAAjMHZw26uMo2khbENqVoFatrVytGRn0EeC9RwKl5Rn6cecZHA7YUcFiCHBep4lpevzpqj6ePUtCvU/GXak1uozkGMHqyeGH8S++UI4rDo5iozblF/flKNVK0CUqQAdT2bGPaXfzNbAAAgAElEQVQLniWLE59DWBZm7VRhGEKIGGMUIojdfHWW2q4FOfxI9ezUAc4nhwEDwM1XZt1cecYrGmknU3pJr0QIIQyHYTQcRtFLCwEtC5hzKTLjuuzXKkd9pZBlqCSSuE4QoNjaipdv3CRcYxiseuyoe/DQs87ecpkuOZH8esAf8rG/UrxB8LyB3xouIXNeU4PZ30fwPjHUfGf3H/uaQp2e4Vbcil20C8Y84hC3SJwsiWAABREE6LptynU+DfnOnHfODI+5Q/fd4XtzLIyjv4u2B2qVlp3/tPWn2dHSGU7A4ui+1KOYR18hLnUBAIBSRsEl6jjJJwS672jaGWn2dzqGWw3Wa98uTldHf9vtwoKohXs2vje6euvHPKOadsr5CTEc68ifevafPb2cCnauvV+tbdkCEeKLFwa+Wzhz6F8gwgKn+hMQczIEAEC8kPJ3ORijHvNci1hGvjRy6ke8Gqgz56aOeEYl7W9beS8W5cBLNg5CRD3PEgLRNrmmod/Kzp4kpp5lrmMgjlfAFfyOIMdL5tzUYX1mdH+oe/17PVPPWJmZAcQLimcZL4rSvAh9dvxg+pnH/iK57c4vUNsqV6eGdkOMeOo6up2fP5/cfuc/VEbPPkIXDdpfdLyEOE6lOIUFyQ8ocQCjRGtsv1YIxtoAhEiO1a4CADx+cXnEC6oYjC2nrqMDCLEYine61eK0nZs7O39419+61eKUFEn0iOF4J/OIrSQbN1TGzj1GbLMoBqPtxDYLgfZVOxUtUCvHG9YAiBCWlDCWlibcsCD6QivWvwdAAKrjF55AohSAmBP9rd13ENssXa5iYZRSKZo8EFl91UfjG278dGno+Pezx/Z8QYrW9mqNy693yvlxxInqlfoBMEqp55mI4xU50bjemp8+BhEnaQ3tOzhJDmFJiUCE8VJJVgAAgEU56Gvtvp1T/QmnUpgwZsefYYwRMRRbLtc09EOIsKuXU0sRdhfh6ZWUXZg/L4bjnYwSh9hG3ktX561s6lSoe+P75ETjBk71J8AlBI/jAOfrX9O/sLaf3+K6wHFd5to2s0wT6KbBDMOgVV1nVV1nFcNguuMAhzFGKQWUEEA8l7mOA2zHYbbjAofRX6Z3YA5ywSAMx2I4EY+jJCGADBxzDloWe91J4AWV9zdtTtz45GeOfih1PPsMJ3Oq5BdCSkiKYxFL4BWqHl9NIEXy+67b+H7/9Zv+C6nq2dKPn/pr48jph5hHHKW/+x5lXc9O88SFnxrHzz+qrO/dGbj5qj+FkqBVdh/6avnx/X8HRUFV+jpuVdZ03aGsWXEnAAB68/lRribSFrrvhr/lk9FOLuj/jFcsXylSlzFn4b4jttSt9V2z7o/EtsZNpKpncdCXdGcz59wL4/uC91z3P6luFphHHGpYRRzy1XrZwoTYUtfvu37TR2m5Op/75o8/7IzPHCWlyhwpVlKBW7b+GV8f7/Zdu/FDSJH+7JWUjTFKqf+GzR6AAEKeE71scYKUqxkAFlRHXDjYIHY0b1PWdN0hr+68FSlSQGhIrIx+YOc3sV+LLybbQIgQqj5z/DvFh3b9JSlW5qAkaHJP+/Xq+t43AYQ5ki2OX5z48DL5cVKupnHQXyetWLZD2772fUJdvMu+MH4AIIicqfRpdzp92h6fOUrLeoavjXeJrXX90or+a8W2hg2kUEkVH9nzGePQqe+Tip65VPnLRYIKlMRXVEKPA1rcf/NVH/DtWP9B5rh66acH/p7zazXi8qbNQktdP1LlMOQ5iVl21To3uscenHzaK1Xn5J6269VNq96GJEG1zo7tyf7Lj/4IMMakzpZtSl/XHfKK1h2VPc/9M/apXyUV/YrPrVerH16wf8czGaOUC/nr/Ddt+ROlv/seRohDCpUUUqSAeezcI9q2te8BEGLAACPFSkrqbLma6lYBB/21ytoVd0FRUIs/3PU/zNMju71sccIrlGcCt2z9M2l501W+6zd91Do/thcsTpC4heoLSkEX8SJycjFNaskJAGI9T5xdJKye9y1dRAm80CN1YZuOZwMARpbsh4VraSmF/osmHxe3c+l7gQ4AmHmJ7S51zAsrnp7cZ5ybfmZhYcaWcjQlpqODJbz5AABgsQQuA14Y/nJ0qWUvh6JA9cMf1T71lrfJ78d4IbGWMcCmpsjYX/738ocBAPteznZ+U6ztFza9413KR6Ymydj1N4p38hzkZ2fJ5M43ye/+6/9V+VMI4fdeb4mCF/GHfOyvFG8QPG/gDfweQmsIdviaQp123khnjs7s1mfLY9SjLsIQmxl9yQcjAABMz3rTq3vE1ZvXyVvGJ93xB39S+Y8brlZufPqweWA+S34n8Y8IQ1ycrA6dfGjsa1JACCMMOUqu7Ncjh4RY921N72CMMc+m1tzZwnMAgN8qwYMFyRfq3vDe2Lodf05dV9dTY89Q16kiXlCoY5X9bb13S7HaVeWxs4/Zubkzdik34m/tuUuK1/dxshox56ePUUJsYlaXTIRjxLOJY5UEf6TZ19hxoz47uh/LajTQ0fdmwR9qxJKytPJnERBAKMWSK+Prr/uLBd8fx5A717yN0wK1iBOUK67HcRJzXQNiLJYGT/wA84Ia7Fz79kVh/xXBKPGwJO+xi9kRKZrsxaIcKA2feKg6ObQrsuqqj/JasN7MzAwwsnQSDaPU84xKmlHi6tMje/lAdJlTzAzZxexwzcYb/0oIRtte0E7MCVhSQpmjT/2dmZ46Itc0rPM1ddwotq3sEKO1K0sXjn3HLmYGPUPP8Fqgvjo9spcRz1JqW7YEl/e9lRLXRJgTzfnpY4AxasyOPSPXNPYT2ygs1T5Pr8xZudRpf/uqe7GkhD2jMi8EY20Qc4IQiLRemqhxEU4xO+RWS7PErM671dJ0sGPNWyHCfOHM4W8sKo+ExVK5pXoCXjTndIrZYaxoca2hfcdCKlluhJPVCBJEP7hMPXMRQjDaxqv+ZOHs4W+WBo8/yGvBeiXZtMnKzJ6AmBM5WYu5leLkUuteBLGMvF2YvyCGYssXmoQwJysh/7Keu5hn64I/1CQEo+0QwvMXB0CEMAIAeGTx85+BKnjhi8TrEowyahWdXKjJ11EYrwyKPj4QavF1cSKW0BIxw7+vQKIg+2/Z+nHftRs+bA+O76/uO/oNe2TqMFcTbde2rnkX1pSw/vTAtwGCOHjXjr8UGpOrAaFeZfehr9iD40/7rtv0UaEu1sXFw8uE1vp1gC744ACMeC9TGOfi4Ralv/tu4+i5h8FlpcjPgzLq5UtTWFMi8toVd5nHzz9a3X/0m16mOE5Nq0xK1TQXD7dWfn7wS16uOCk0JVcr/d33QIFXAEYcDvprIYSouv/Yv1HLqfiuWf8BqXvZtTjor7XOj+6Ve9quk/s6bxcPn3oQQrj7lbwMMI+4gDHKJ2Od0vKmLXw8clJsreuPvOvOHUJjYhUOB+oBY8wenHhaWt50FVLlIPKpUevC+H5rcOKAuq57J18X7+Ji4RbkU2N8Mtqpblh5n9jeuJmvjXcBxqibLTzv20SqZo6adkVoru2LvPuOf3LTueHC9372524qc4ER4pCynoEIYezX4oHbt39SWbviTi4abAIYC162MF7+2dP/YJ4e+gVjgOGgPyk0JILYp0SRpkS0q/o6+FioBTDAAAUvXTaHIOTikWWhN9/035VVHbcYJy48rj898IAznT4tNtet4eriK5jr2cy0y5QQlxTKs87/Ze+94+y46rv/U6bembn93t17txdtL6qrXmxJliVb7jZgbDBOeahPSIGEPCF5QsgvgcADISGEhBqCjYHYxsa2jCuW1dtKWm3v/e7tbfqc8/tjZSPbu7JsTDHwfr32v505c868XndmPufz/XynYueIbuRda5pvdHU27qOEONqZ/keNkcljEEIMZZcPMoyQe+boV8SOhmvde7f8CZZdASyJn3KKWubX6T5cip3OzkIIobi6+QbtdN+P0t9/8i/t+cSAU9TSJFdcgBzrQpLgpUes+wAAwH3dto8xQV+VWZhNYrcUwn5PmXrs/A+MoclDrtVN+8X2hj1cZWmHncrNGOOzp9loqFna2HknxPgzv4icz7c7F5/bv5IyKp4HQjSKK0aG7f7nnjUe37CR33HsqPnTXbv5G/Zcy98MfkkCTySKK3NZkh4fd4Y4FnKDg/aF3gt2tyBAV10908zxgAfLNHJ4u/PbPPc3ytta4MEul48ri3YCCICVSI052ezMEoFoLOPxRLHXU45EwQMIsYmmZ5xcPmYv8f+/483BhoL1bChYf7GrDQAAAKKqaX1s/NDv1viNgznMMSIrx8fSz2ZHkj0QAgAxYhyDWMRevkZ4YNjsX9nGr2RZyD75vHpges6eDoeY8PEz+vGxKWvJ3Z1XgxjEyCWucsHN+ymltBjXZrS0Hr9chyvMItblF8KCwnr9VcoKiAGSg0JETRkLEEH8ktjA8JhnBUZiXVjiJNbNS4w72hmoZzgsZqYLI5hFHLHJW/rwRiwn+lq67g6s3Prh4vToT1PnDv87pcR2lVR2xY488UnOE1whldVv1+Mz3Y6hZ8TSynW+9o1/qM1PHrPy6YmL2TgeQCm1CktbeMlF9w7EmEO84AaUEsTxbswLXsiwIiNKl3VPOZaeA4TY6d4T31Lnxo9w3mAdQJhlJU8ECy7/csICRJg1i8nZwsTg00pNyz5G9pbpqfkLrmjN5tfri0IMPWsXszO2KAcXjv/k04jjFW/TmrtYxVtBLLNoFbIzS7UgBwAAQInjaMUkRJj1d2x6v7YwfZralsZI7ghdLGsKQMxw1FnMPIAQYgAANHOpMc7jr5UrV1yNRTnE+0Ir8uP9TwJKieAvaUYsr1BiG9RxTEaUw4AQR41NHtfmJ48vlictBkpDhuERy7m0henTS66nqecgZgWIMGcXsjPEsU14sfMh5wnUAgARAK/8qCG2ZZRuvu6Et3HVuxxDyxDHNlhBCgQ6N3+QlTzR/Hjv48utKUQIQ4Z16TOjL2Je9MlVjbttNR9jZW8FYlgXFqXgRRfX0gKPJ1AHAIC8L9QYWrfrEwAAQEw9h0UpxPtLmq1saszRLlPWAhY7xVnF3CyACCOGdTm6mnJMI2+k44NyxYqrIUKYc/uqlisz+x1vHjVlxMZenHustC2wvmZr9Dojb2YgADA9WRi0dOdt0UUL8Zwo71j7+8rVXf/Lmpw7a4xOn8A+T7mys2yt2L5itzk2c8oYnT7J1VWsRxzrYsL+Omt2oc9J5WYYv7scr2+/3Z5LDuqDEy9KXiVix5LD+uD4QaN//KA5OXeWCXqr/Hfv/2eAEAMuJ3pR6tix5BCAEJoTs2eyP37hs9QwCgBjli0NNshbVt0lNNdezZQGVyCRd2PZ5Yci73Ey+VngEBsrroCdzEwiSfTJW1a9l2hGzppPDDrZwrzeO/IcWxKs5+rKu8TOxuuMoYkjYJmd/iWxHRM4xMZuKeS58aq/QgInQ4GXSUFN2on0hHqm/1G9b/Q57FWifG35OqIbhfzzJ/5TPz/8lLJz/fuZoLfSmo5dMEenTrjWtNyMZdGvD04cUs/0PRr8g9u+iURecVLZl10RbCTYyAS8lZDBvJ3ITBBVz7qv3fxRcyrWk3/u+FeFpvA2oaF6q9jZcC1bXtIGMWIAwiyEEDI+T5n39t2fVnau/wBkMYekxe6vkGV4iBALMGYgx4hOthCzk0uLGS/BhAP1vjv2/H9iW/3u4skLDxZeOPUtJuSrDlyz6SMQQmTOxC5kBycOUdNSnWx+nuSLCegSvWJr3dXCispNAEHsJHOTACNW3rbmHuz3VNgLqRHt7OATes/IU3rv6LP+d+/7f9LmlXfZicwk5NivUNNa3gn+S74Prxg6nh4lpqVRzcznnjryL9bsQj+ggGK/u1xoqbtabKu/hq0obcduKYx4TkJuKURNS3VUPYPdUpgUtYxT1NLytjX3UMPSnGx+3hgntjW70M+GA7VcZaRT7GjYUzxy7n7wFm90/Y6fD4cA2zCpYVnAqqhkavv7rPOnTpmHu9Zz2ysqce0v6zqCQRRe18Vt27iZv9olQdnjhl5JAvL0lDMeiaJygYcC+A0VOX6b5/5GedsKPIjjRGXLpt/z7Nj2UYAgsmIL/XYyNeq/fu+8PjZxRBsYfIorCTd59+y+Vaiu3MAEAjXIJfoBoQ7R9ZydzU6bU9OnxIb6x4yJqRPUNItXspODeF6S1625m/F5K61EcsScm++x44khatsGoJRQxzYvtcG+xMUWoyyECFFC7NdrHQohhABjlg34q/ma6s1sONQIEWbsdHpCH584Zs3Heqlta9RZ2vJ/JUCEEGRZkfH7qrhIaTv2eSuwJAUhx4nAcRwrkRoxp6ZOmPPzvdS0isvl6XAlJU3+G/f/A1bkEogQhhznYny+KjuTmYp99WvXgVe2XX/962IYDktSkC0JN7GlJc1sMFAPMeacYjFuzsyeNSYmjzmFYmIx2PTNdcOALMuzoeAKvqJ8LeP1liNR8BBdz1mJ1Kgdjw9aydQYNYwCpZQASh1ACPll2v60WGGaUkBLNlbu8zaF1hKbmIBQQgklE4/2fg0AcH6p4wZGzEG3gr/AYMBkciQDAABnzhlnIAQglXaW/Li8FIbHfN3OypvCrYEu3sP71aQWy0zkBsaem34YLPNxCgAA1ZtKr2m6pvwdopcPCG7WjznEV6wLXUUcagsK5412Bjbu/POV7O6/XCXzMuuhAFDOxShyUIi85O5JTxaGajaXXutYb53AAyGESnXzjtC6q/8cEOKkeo593TG1rFRWtx1xvMxI7qhS07LPzMSHUheOfUNbmD7la1pzl1zZsBuLUtDKpScAhMhT136LkY4P2OoyDh7b1hxdTdlqPpbpO/lfrmjtVggATJw5+M+M5I4wLqUEYsxeGvR8KVY+M01sS0MsJ0vldduNdHxAm5s44q5t3c95g3XLleUhzPCc218T3rDnr8VgpD0/0f8k4gJ1EDP8RVFlWSilNLz+mhHeX9oqV6zYKZXX79AWZk5DhDliGQViLZ+HQCmlSk1znlhGITt07n/sYnaW8wRq9eTceUoci/cE6xY7fP3MBo04Xg6u2vZRYhp5MVy+1spnpgqTg8+wbl+VUt20R0/OXzCzyVHqWLpS1XQtFuWgHp89q86MHsSCFBTC0ZXENAvUsXRimcV074lv6wszS+ZoEMssFCYGnqS2pck1Tdfybl/lRYGHIFZQlmsLrCfmztOGle+wivmYUt20xzH0rJGODzKSElkMjl7GwQMhvphBtNcqpCf1+Ow5LLj8tqnnLDU/7yqpWId5wbvcemJe9AIIoVXIzRamBp+CiOFZxVuBMDOGWM6FGFYAEF32eU0poaF1O9Xi7Nih3EjPw3JV4zUQYVaK1mx2LKOgxqZPMqJSsrwL6Xe8WbS0EZ88Ov+UFKqOCg7nU1P6AqCQTp9ceN4sWr/25VkQISR2Nu707t/xCSjyHijwsrS+/Q6IEMOUBOqN4ckjUBJ9yLI0Y2D8IN9YvRUyDE91s2DOxC6YE3Pd1LJ1sa1+l7J5/V0QIZz+3oGPaxeGn6GWrQFCKUAIE8MsIlG4bLkqJYQKDVVT1LQ0QIgDAKVseWm7tL79drGjYS9bGqgnqp41ZxZ6ran580TTswBAiD1SCVcVXYm97ijAmHMy+Xknr8bFtvrdTjo7bcbnxqV1bbcyJYEVAADoal+xJ//00S8DAIavdJ2obenUcUzEcDISebd2dvAJY3TquDUb77NiyWFq2TpXXtKqXNX1h1DglOLR8w/ofWPPe27Y8Qm2vKRdH5o84mQLMaIZWXNs5pQ+PHWUqFr25a5WhBI7lXvZoUt0I6/1DD9ljk4dL57sfZirinQG3rP/X/iGqi18XXkX9rnLAADUSWWni4e770Mu0ctGgg1OthDj6yrWY5+7zE5mp7TTfY862cI8MS0VibybLQmuYMvCLUgW/cVD3d/V+8eXdR4ggZf8777uY641LTc5ucIChBC792z+IzuZmbAm5rrV7v7HzPGZU8gl+pSru/6Qb6jazHiVKBsJNVDHsfTe0eecfDFux1NjAGEGu6Uwth2zeOTc99RTFx7CAW+lq6PhWmoTEwm8ouze8CGtb/Q5AMDZX5f7cClONh8jRS0NIULAIQ72KKWu1c03uNa03MxVR1cBCqg1F+83x6ZPOEU9DRzHRi7Rw5aFW9hoqAkyDA8RxNr5kSeFltqrIcNw5vDUMa46skpc2XgdgBBxVZFVXHVkFURo/O3aWffXBYQgRAhgAAAlFFBKAGUYgBEC2HGAfbEByhXh2MAxDao3NDKtGEM8NWWPrVrFbiiNoCghV36enxe/H4UmJ52RA0/oD954k3jnqZPm4R98X/vm3e9xfbC6Btez7GIu3m8iv81zf6O8bQUe7FYirpamvfmjx74GWVbkK8rXuNpbb4IIYVd7242Fk6VtruamfcQw8+bs3HltYOhpJ5+fx253VFqz6l1cSUkL4jiZK4uuspOpscLp7vshwxy82D1r+XEVOey5esfHGI876mhamhSLSVLUUsQyVaLpWa237zHIMA9Q2zYhxgyW5RD2uKPyujVtXEX5Gq60tFXr7XscAPD5pc4PIYTIJfqExoa10sqOW4Xamq0XywlsJuCvdbK5OVdbyyjR9aw+MvYiXxZ91kokhq80nA4AACBCELuViLx29U6xqfFa7HFHsKKUOIVCnBpmgfH7qrCilJozM91Se8sNTrGYKJ7qvh+7xBcddQnrLEYMEgVP9uln/9HJFxZcba37+arK9YzPW8H4fJXgCgUeLLn8XGlpq3f3zqv5qsoNbEmo8aLg5KKWpVrzsX5Xa8t+ACE0JqdO6INDz7DhULedSk9Q+8rabUKMMReNdPhvvP5evqJ8jT48+rwxMXlcbGna597Q9XtE0zNE0zIQQmTncnNWPDFoxxMjdiY7LdTXxa1YrN/JL/2R/1ZCHGIZKXUeC4xETEcnDrEhhBDzWGRlftkXZI6FbDCAZZ6DfGkYl0ouJK3u4Fcn085l69pfItwa6Aq3BrrkEldFMa7NWgUr6ymTa71VSgMA4Nhyx3nLpFrHJEZqLDcgh8Uow2OROtT2lkk1xKF22arAZsHN+adPJ14QPJw/OZbvy04VRxGD2Fhf+jTLY8E2iZ6PadNq0njLSsmwKAV8bev/gBGkYHbo7PfFULRDKq+7ilhGHiLMSuX1V9nF7Ozci49+3Ewnhigl1NuwcsEx9Wy698S3IMKcmUuOQYgwI3vKEC+4wau6agAAALFN1cpnpxHLSf62DX9g5tITudELj0CEGHV2/DAfKGnBvMsLXln3/TJ2MT9PbUv3rOi8NT/ef4BxySW8N1TPyp4yxHISZFkRvMqWDCGEtXd8RORFOZwZ7H6gMN73BONSSlCEdSGGkyDCr/ugc3Q1xUruUscXbihMDj5NiWNKZbVbiWUWqb10/s5LUNvWiW3prpKKtYzcWmYVslNCKNrJ+8KNtpqPXXSsxAFYLOkippHn/SUtjq6mqOOYxLbUwkT/AU/j6jutQnamODPyAjHNPLH0QnFm/BAxtSyxLJU4lgYoAJQ45qKAbuvUsc3LCa4QIdZd336Lu7Z1v2PqOWLbBjGzM1YhM40YRlguSsdW8/OMKAXNTHxw+snT90GGc7lrW/crNc37ECe44XIHQoggwwpafOZM+sLxbwqB0jarkJnSYlMnldq2GxiXHMaLncWWXkvHNuxibs5W8zGpvP4qM5MY0uMzZ1yRqo2s5I4ACBHjkkKXux8QIliycY9kphf6+UBpK0SYZd2+KkqJnRs6+z+uaM0m7JKDFwM43/DLKEIQygp0uxXo4QUoCjwUGRayjkMd06R6LkszmQxJ/SZm7CwFZhDDCIzLNhwNMRBpaSNx7vvDXyltC3RRQkmsN3UiO10YvZzz8dcFJuyv81y/7ePII5eSfDGOvUoEu6UwQAjbC6lRY2jqiHqm71E7kZkQW+t22fOJocTB09+ihqm+9IErttXvwn5POcSYI6qWlretuVdoq9+9mH9TmAcIYgjRFZWrUWOxMxJbXtoWuOemf+cqS9up49jm+NyZ7CPP/b05vdBDVD0HbMdczKWCADKYwz53mWfvlj8RVzffIG9edRfyyCUAAmjNxvuZopbmqsvWQAQxUfUM9nvKxbb63eCNCDymrVPbMQEPAEAQWfOJAX1g/CBECPM15evEtrpd4qrm69lIsNFOZCbsheSw9+ar/4arjHQ6+WLcTmQmikfPfc+anDt7aRkS9iqlACOGWpZOcoWXn3/G8NRRayp2nuhGnlq2yYb9yEnn57BHKXVyxYX0D37yf4hm5NjSwAq2vKSVzicH88+f+JrYVr+Lb6jaTE1LLbxw8uvFQ93fpZZtUEopRAhBnnUhnpcBg1iSKyaIufRvPUQISZs6b3atbbmJmovvuOLq5v3G6PQJazp2gRTUJJJdfrYi0qlsW/M+sWPFHmshNco3VG1GPCcRzcgxJYF67JbCXFVkJfa6o5BjRDuVneLrytexkWADVx1djd1SyMmrCSueHmfDvlppXeutEOOe5TYwf9n34RU4xCJ5NcFGQ03u/dv/gisLt0CWEeyF1Gj6Bz/5S2Nk+jjJFeLUsnXqEAsASiFCLHQJbqmr/XbPDTv+Umiu3S401+5AbilszSz0IkUKM353OfYqUVIoJpAihcSVTddp54efAm+j/K5fN1wuJG3dxm1pbGTaHAKcZIIsZLMk3bmS7aqpZRpOnbQOebzo/myGvO7mJwAAOIQ6pgVM2wb2Iz/S7n/+OeMJCAHs6uK2cjzkEYKQ/IJ/7zkOsn/3927P9LQzgSCAE+P2yPlz1inHAXY2S9JuN+tlGPAbKXL8Ns/9zfC2FXgWRQg5pPUNHIAcKxFVS6sX+h7jy6MrpZWdd3ivveb/ElVN2vHEMF9dvdFKJkdQWvCITY17nEx2Ovv0s5/RR8dexLIclLvW3RO8/VVqsyUAACAASURBVOYvpx978q8hQj+8rGJOKIEYM8XzPQ/ro+MvEk3LEk3LUNMsutpa97u3b/2oU1RTUkc769t7zVquLNoJAITm7Nx5O5kaF6oq17PhUONSp4YIIaGudou8bs3dfGXFOjZS2g4ghNS2dWpamj4yerDYfe6HiOdlYUXdVfKaVe9ytbXsN6ZmTnPRyLfN2bmeK1k7oaZ6i3vH1j9CHC+rff1PAAiRUF+3I/fcTz/PBAK1rraW/YVTp+/LHz3xTbFxxU7/9fv+Qait2aKe63mYDQW/ZMUTrwhdo7ZtQIxZadXKO8zZufPm3Nx5R9cyyvque5Fw+d26l+BKS5r81+/7KBspbTNn5845xWKCFyrWIUFQKKXUTqUncy8e/rKwov4qqaP9FsatlEodbTc7udxc4VT3/ditfNPJ5ZcMZbsUsWHFLu/ePX+LeE7KHTz05cLJ09+VVnbcJrW17DdnZruN0fFDxDAKkONcbEmoia+s6HJv2fQhCCGiDrHSB37yt5BlP0+ty9iH3wKMlDo/eWDgO7xXCNpFKw8wRIBSwIispMbyy2ZabNsobu9aJXSxLGRrKtkahABCCKCnX7CevpJxvdWeJsQgduSZyR/mZ4tjSlSuCTZ6Vwoe3n+544pJPQYoPVe9qfSazHRxlJcYxR1xVU0cW3hGCgqlybF8v+jhAvmYNkVsYrMCdlmaXdQyZjI5mu/1RF3VJc2+NfHBzNnsrDr+BpdrWVjJHZXK63dQ4phiuGyNUtNyvRabPKnOTx7DLK+469tvnj/4yMeM1MLgywdBCCGAUAyVrZLKarfqyfkLrNtXjXnBLQRKW8ES4YCUEOJrXjsCEeY4T6A2N9b3uBiKdrKKt8JIzfd6m9fezS+29F5S4HFMPasn53vMbHI02f3Cl3h/SQsjyqHcSM/DUlntdk72VYJXubYopbT2tg9ZuekLjxqp+Qv+9o3vp45j2sX8PGJZEWKGf731YQSX3ypkplPnDn9FLK1cz7n9NQBBTCyzQJzXEXgcS6eObbBuf3Vu+NyDtlZY4P0lzYvZL1IQcYL75fkZWkadHz8KMcMXp4d/igWXl9iWBjErYMHls4u5mdzw+Yds7fIBm1eKECrrdLRi0tbVFIQQWfnkJOcJ1iJOcCOGFZezsFjF7ByxLRVAiADCjK913T2AEEedGz+66LJZLmQZUOrYBgCA+lrWvdfMpScosY3ojlv+BTIMfzEQOgghhEsJU0Z6oZ+VveVKTcvedM/RrxPbVMVw+WpiW1pxZvSgUtu6XwhGOyDGh5ZzgSGWdUGEueLM2CFGlIJKTcv1mBOU7NDZH9LFDm8RM5u8ojLNSxFFJDY1Mx3vfZ9rfXsHu7aiAtf4fCjg8UKfKELJsoCZz5HM5KQzeuGC1b1xE//46VPmYcOgv9HtZsvWhLa7o1L1fE/qOHWI3XRd9V1nvjv4xd5Hx/7rV31tbwQkcJLv9ms+xNeWr7Pm4v3a6b5HoMArbEmgXu8fe0E91fvQYuYLcSCEULsw8hRfHV0jtNTuFBqrt7Jhf601lxhQzw0eIHk1Tq3FbkEQYxbxnMSGA3WuNa03cWXhVsgyvJ3Ozb7eNVFCHGo7Jl8dXQMRxIXD3fdpZ/oftWbj/a/jaEiyJYG/42rL1vH1FRuKp3of0s70/9icmj/vZAvzQlPNdgAB5CpKO9x7Nv2R0Fa/G/Hct690g4xatkZtxwQQQjYcqPO9c+8/SV1td0CW4ZEiBSHGLPa7ywGEEGLEXnSQyMUj576n9Qz9RD3Z+zDR9BxkMIsl0Ysk0cdGgo3u3Rs/gAResWYX+olhvlwyRk1LB68pN6DEKRST+WeOfsVJ5ablLaveg9xSSD3V+yMkiT73NZs+IjTVbEc8J1lziUFzcv48MX+WpXZx/QrgZ4G7y4IUKSR1td8OEWKLJy88CCFErnVtt4rNtTvYgLfSnFnotWYXeoXm2qv4+oqNgFAbQIi1s4NP2In0BNHNPJJEL1de0s5XRbsgywjq8Z4fFo6cvY/xucuYoK/aGJk6ZgxNHtYHxw8hyeXzv/Paz4gdDdfmfnLkX8Ayz8tf9n1YYnydCXgrhaaabdqp3h8VT/U+bI5MHbt0nZcgjSTxa1xFaYe8eeVd5tT8+dyjL/yjOTV3zpqN97Fl4Va2NLiC2o7hf/e+LwjNNTuwV4mA3wk8b5p1XeyWv/lb9z+f7baOp1Ik0dLKrnS7oc/rRf76FUzz9h38tbksyQAA7ruS81ECiONQB2OAq6pw3TV7hJsUGbqjZbgylyMZSYYK+AXfL1GEktuDvHX1THNzM9PR32+fv+de10e++pXiZ7NZmlYU6MXM2/fb/nL8Ns/9zfC2XQjG56sEEDHyujXvoaalGpNTJyHHipDjJUoWW9baqfSkNjT8nDkX62ED/ho2WtquDY08ByGErrbW/a6O9pv1waFnCsdPfIvatqFs3fRB6jgmxPix5V6iKSE2AABasXh/8Uz39xHHSVxZdKW0ZvWdfE3VJiYQqAncetM/E03LMF5PuZ3NzaYe/NEfO5qWljo7bsU+b6V1rufhV58XCYJb2bThTldL0z5javqkPjr2otjYsJuvqlwPEMJWbKHfyWZn5LWr341F0av29j1ePHn6u5DjJDYUWuG9ZtdfiQ31X9WHR19YLjcDMgznamu9wbN7573m9PRptbf/cTYcauArK9cb4xNH5Q1dv8eXRTvV3r7HrNjCgHfnjo+52ltvhBhzTiEfk9asehcURQ8ShA8TXX/55YAUiwlq2wZfVdFlJ5IjgALKhcNNiOMkyLHi5e4jZBlebGzY7b/lpo9w0UgHtSyNZxgeMphzsrkZc3r2DORYF6CU8hXla/mqyvVE17L5Yye/JdTXbge2Y0id7bcKNVUbubLoJ82Z2XPLjcVXVa7zXrPzA9qFC4/qE5PHsSyHg++8/T8ZtzuiDQw9BTDmmICvxpyaOeVkMimnUFhgA9lafWjkeazIIaGudrvYsGJn4djxb4DlAiLfIhzTMSGCB1mZ9/I+Mcz7XSV20cwmJ+cGbd1a9mV0dYewuq6arSMUEFUjajLtJBkMmYst0l8XJSpVu8vluuNfOftJI29mw60BGlkV2uqpVFYAAJ5Y7jiEIcO7Oa+/Wm7S0kY8WO9ugxgyes5KORYxRC8XIDa1pQBfYhTsnODhApzIaBABFKxzt3orpDojb2Uu/HjiO5ZuX1ZYeCNgQQoghnPlRs8/jBhOooTYuZGehwBCrFLbsj87fP5hLTH7Cis4JcSGDCuyirfSzKXGXaUV6xxDSy8G39Zshph5jjqvLbE0MvEhIx0fTJ499G/UsXTGFazPjfQ8gjhBgQAAf/vGP8S8cN4x9Nc4gKhtaVY+MyVXNuyCmOGtfHrSSMX6MO/yIYZzcd5AHViiLI/YZhFxgtsVqdqoxWe7rXxmyl3ffhOglDKSu3Q5QeElGEkpZd2BmsCqrX9kq4UFq5CZhgBCShwTLP7WLQuxbd0x9WxuuOdHjlZYcNe330wJsTlPoAYQ4iCMXxaYiGWq7trWF+Sqpj1qbOqEoxYWXJGqDZzbX5Mf7f2xXN24J7By2//m3P6vW8Xs7OVyuyBEEItSiDqW9tq1pJRSSpTq5n1abOqknpzrIZZZFILRDquQnTWzyRHIsCJYxolDbUu1i7lZzIted03zda5I9UZqWSrnDdQ5hpYBEC1ZKkeJYzmGnhX8Ja35ycGfEMsoSGW1W41MfBDzopeVPGWMSwkDhDAA4DVz05OxXjU2eQJhVmAVb4Vj6jlbKyQQZgWIMUcd2/S1dt2rzo4dggidWeojl5G9FZDlRKWmaS/vCzda+fRkZmb0BTEY7ZDK63bwvnCjFps+dfn47UVYFrLhMCrdvIXf+dWved9ZUYFrPF7kRxBAAAGcmnLGHvh39eumCYxd1/A3KAr0DA7aF7Zu5Xfv2i3sf+pJ/ZFIBH9pfp7M/qZ2tAg3+1cH6z1tckiMUkIdOSRG22+r+18r37EiZeTNjCsoRsyinR87OPPjwoL2uqLGrwo2EmoUOxr3AgbzWJFCfH3lRu3c4IHcgUNftBOZiZdczWzYXxu458aPcXUVXdgjlwBCiNY98FjmwWf+xo4lh52Clnr1xgfEmIE8K2G3HBLb6nd7rtv2cYDR6+6wkoKaLB49+z17ITWqXRh52k5mpqi99DvZq7Hj6TE7lhpmo+EmJ5mdNkanj0vr2m6jtm0aw1NHnWx+zskWFqSNne9iw/5aJuSrBgD0Xsm5qWnpwLZNajumkyss2KnstFPQkk6+GGd87jIm4KkwJ+fOIrcU5qujq4hhqZmHnvlb9ei5B7BXibh3rf9A6AN3tIU++A6BaEaOGlaRCXmruYrSduo4ljk510118zXPh5fHd4i1eA3ExG45rOza8EEnk5/Xzg8/yZaFW9iSQJ05PX+ejYaakMgrxDDyRNUvG1i8HBBCKLTWtfFNNdshywhCY812qhlZ9XjPD83x2dNWLDHk5IsJ5er172ejoSZzbOZk4XD3f+t9Yz910rkZouk54BAbMJjDihQUmmt3eG7c8X+E5prtTNhfayczk9R2LDbsr8FuOQxYRtDPDR7IPXn4S97bdv8dV1naAQB45tftPlBCbO3c4JPm+Oxp9Uz/j625hX6iLy8GXQopahnP3i2naVfb7UQzcvrg+ItceUmra03LjeqZgcfMyfmzTjYfM6djPVw03MJXR1cBAAbezP37HQCES3AUIYAefUT/3skT5qGyclzV0cmuW7+e2yZJUI6W4cqyclx9pecjBJD5WTIVXyDzm7fwuyAEkOchb9vUmZ0lU/QKnq0/L6IIXZIE3fkcyf74Uf2Bqipc9737tP/s7raOKwry8AIU8Nso2P+N8Ns89zfD21bgwYpSChHC1DSL+tjEEcbrKae2beijoy/ayeSYPjZxxJyfvyCuqL/avXnj+xm/r9qYnDwOiGNDQfRAhuHNubnzSBAU766rP2FMz5wunjn7fWXj+j9wisUkROjQkjtFlBLqOJars+0WJuCvYTyeMmKZqjU7d14bHH5GXut+tzk7e85aSAy6WpuvJ8VigotG2iDLiliWQojnZTv9ykA7xPMu9/YtH1K61t2jDQw9TTQtw/h8lYXjJ79tTE6dYHzeSoAQZnzeSkABNaZnzvCVletcLc37CidPf9eYnDrB+H3V/v3X/UP8vgfuBcu8rIgr6q/y7tn1f6z5WB+ACLm3bPwAdYhlLcSH+KqKtWwo1KgPjzxPLUvjqyq7GJ+3wpydP69e6H3UmJw84b9u398z3kUL9qXnJZqec/KFBX1o+LnCydPf5cqineb0zGmuvGw1En62i/9qLgptezy7r/6EUyjE1fM9D5uzcz3UtIqAENvV3nIDABA68cSwlYgPEU3P2tnFkFskij5zerab6npWaKjfid3uqG/P7k8ybuXD9hJOHiQIbv8N192DZTmMBMHjuWr7n/BVleshywrWfKwXYMRa87FeyLEueUPXvdRxLCuZHNX7Bp4U6ut2UMtSnXw+xoaCKyDPK+AXLPBABKFS5WuMXlV3u6chtEpPFGf1RHEOYnQAc8x5x1y6JC2TddL//UP9OzfulW+anbdnj53Wj915i3JneSlTdiXj5qbyw7zC+ZpuqHtf7c7Kyept5StdAaEkNZK5rDtsrid9XAoIJRcem/wO52IUS3OKsb70GV+lvMIV4Eusol1gXYwMFsNdIWIQq5S6KhyLmKyIpaFnZh8aPTT3hJoy3tLyt8UsGT0nBCLtEGEGQIjF0sr1Fz+6I0ZyvufVYgLCDH8x26YaAEqsQnYac6KXEsd0RSrXXwxMnnv1WEZqoc9W8/NiScVaShxLT8ydc0WqNwqhspW2rqaV6qa9nhWdtyPMfIe8ViCCACEGsZxETD2nzk8e9zateTfvDa6ggJLFYODXQh3bdDQ1mRvtecQVrdnMuJQSLTZ5UorWbGYVb+XrBeoyohy21Xxs4dhTn8ac4HFFqjfYWjEBAERgmdyfS8Y2qG1pWBC9nOIps4v5+cWuXqYKWdYFEfOK3wk9PtNtZpKjCGFGWtFxC7VtozAz8jzDu/zUqtnia15zl6ukfE1havh5uWLFaW1h+pRjaNlLz4E5XpYq6ruCK7f+UX6873GI0H9e+jtNbEtzdDWlJ2bPpXqOfk2par5WCJS2aQvTpwFxLFTVuAcyS7e6B+AlecixIWZ4I70wkBs+/xDvL2nmvIE6xLAiYjkJAPAaAZLalmYXMtNYcPnhYv8qLjt09oeMKIeEYKTdMfUc45JDcDFH5zUCj6Orqexg9/cj22/6gplNjFjF3CyECLNub6WZS0+g+MwZpbJxd+m2Gz+fPPPCFxlROmhrxeRi2abo5YORtuCqbXcyLqXELubmtPnJE3p6oZ9TfJW2XkwUL4y96O/Y9AEjszAIKL1spoPXi3y33Cbecvs7xPdFIrgilyVpXafaTx7QvhGJoorREXvgxpvEOyNRXEEc4Dz5uP7gXe9xfeC5Z4zHHnlYv+/Ou8T3V1Tg6j/+M/lTX/hc4a/BMu1w3+7MnIkfRAxkKaGOYxKjmNDnBDfnl4NiJDdXnBQ8nN/S7KLoE4IAgF9LgQciBF1d7SuYsK+Gmpaq9409n3/2+FeNgfGD5BKxBjKYFTsb28VVTddjn7vMnksMZB557u/VExf+hxjmsoL8xd/WLAAgCxlmkmhGjisvabMTl+8IZ6dzs5DBf7WYO/fGMkgoIST4B7cmAKVU2tD+Dq62bC0bCTVp54eeFDsb9xWPn/+Bdm7ogJPJzzMhXw0T9teBKxV4Fp0jhp3MTKbuf/zPrNl4n6uz8TqhtW6nvZAazT7+wj9RyzEC773hX528msw9fvBzxSNn7xc7Gq71XLft45DBrHqq92H1dN8j5tT8eWrZBmQYjqss7eTrKrqMkanjRNWzy16A49jEtDUkiX733i1/AhmGd1K5GSSLAb139FlrLjHguX7bnzNBXzUAAABCCVguKP91gCzDS+vb74AYMcb47Gk7kR4HjmPxKyo3uta23nJRKIux5SVtWnf/Y5mHn/2UvZAaXSKD0gAAzECMHwAM5vx37v0cdYitnrjwIFMSqLfj6VHt3MAT5ujMSWrZhiUmRwCggKu4jMDzK7wP1HZsiNFXAYDwzTQQcQpqitqOwdVEV/vffd3/YyOhJnNi9ow74K0kmp7LPPTsp6ypWA9fXbaGq4muAQB8742O8TsWcWxqSzJUbr1deO/adeyWTZu5q1kWcg/cr33tW98s/stnP+f5hseDfFd6PtOkpsuFvvzgg9p/UwKIIEAxEEThZJIsFPIkX8iTZcXZtwqWhRzHQd7vR8GbbxHvnpq0R6/dJ9w6MmIPFAo0D8Di29sv+jp+Ffw2z/3N8LYVeJC4KBxoA0NPU9s2iEv0Ud3I2bHYvHruwo+QJAU827d91NXReqOdSo9DjhW5smgnV1a2ErKsaIxPHEWC4Baam/eZsVivOTV9iuhGXqip3uS5evufJn+YGgcAvNb1QCmhpllkfb5KrW/gQPHU6fucQjGO3UqpZ+dVf27NL/TZydSYq61lv5PNzhbPnn/QmJg8ZsUTw2JTwzXyujV3O9lXhre5Wpuvl9euuZsYRl5satgNIIBWPDHEBAN10upV74IYs9jjjhJVTTn5wgJbEm6CGLPG1NRJgBEjr193DzWMPLEsXersuBViPPjqBw8bCtYF33n7X2BFKUUu0c9XVa435+cvFI+f/Da1bB0ASrTB4WchAIANh5u4irLVWFFK1fM9DwNCCOsP1AAE8VIfB5QQJ3TXu0y+pnozQJhxsrk5rrxsFVaUkovZIUvCRiJtctfaewonTv2XnUyOAQAh4jkZ+3yVpFCM62MTR4Xqqg18TdUGaVXH7U6hGDdnZruRKHqpaar66NiLjN9XnT9y/GtYcgXc27d8RN7QdS9i2S8Q65VWWcbjiYrNTfuoYeSIaanG+MRRLMshK54Y1kdGX8CKUiLU1WxhS8LNF8NwTchgno9E2rFbKbXTmUknm5uDHCddTrT6eSndXH09JdTh3MKJcFfFHiHgihDTNoykOs/7xJBS5W3SFgrTYBmByXGAMzFtTQyPmkNuBXnuuEG+Yz5mz9vOaz8ql2KuO/6iVOIqj64t2UEd6uRm8qNaxkgsXEieuNxx6cn8MADgCwAAEGn1r/WWy7XTZ5Ivdtxc/XsLQ9lzvT+e+I6p2gViUZMCSjGDWIggdixi6jkzbRvOLyS3w8pnJrWFmTMQYdbRi0kzmxwzM4mh4Jqr/gxxvMJ5/DWI4yVAiHOxhXZdyYY9d0CGdalzY4cKU8PPiaGylbwv1GjrxaRcUX8V5/ZVgSUEHsfQcqUb9571d2z6QHF29CAgxOYDpa1GemFQmxs/AqM1mwKdWz9MbEvFvPC4Y+g5iBCGmOFYxVvGupTS+MlnP2Nmk6NSed12PTF3PjNw+r7Ilus/w7iUkiUnSIjtrm+7yRWt3kyJY+bHeh/nfeEG6jgWp/iqluoW9YrDHVszM4lhLIheKVKz2TH1HLUtHSLEwtcL9SWORR3HRJjhIGI4R1dTlDg25w7UIIRZiF+ZAWQVc7Pq3NghVvFWpnuOfYPSxTXHQU420vEhq5CdZWRP1Ne89m5/x6b3G+n4QMW1705CzPDUNlWrmJ9XalrPEcvIE9vShEBp20UR6tL5UUCJg1heCa/d+ReIExR1buwwI7j8Yrh8DWI5F0IMv2yp1eIZgLdx9bsocWyrkJtx1Nw8gAhDhNmLOTqv6WblmHpOi890u2tb96f7Tn7H0dW0XNW4i9qWtmg5YnhW8VYyohxiXIoBAADE0NIvCX2UODareJ9RZ8cOuevabmJcSok6N35ET8ydF4LRDt4TqFPnJ44LwdL26FW3/KuenL9Que+96crr3oshZgRW8VVyirfCUvPzZjYxoiVmz3KKv8oqZGfUufEjSk3zPkaUgnpi7jylS38wYwxxYxPT9sm/Uf54525h/+CA3dPXa3W/8Lzx5K23i+/tOW+drqgQagCA4NRJ8/COq/i9+RzJxGLO7NEj5vObt3C7vvNt9cuP/1j/AYQAbtrM77zjna7fEwT42d/EXJ6F3tQpI2em5bCrQvRyftHLB3OzxXEjb2Uzk/lBs2jlLM0paum3VrR+K4EM5tlIsAEghI2R8WOp7zz6v+10bg4AACBGGPK8zIZ8NcrODdvEzoa9SHYFnHRuJvPQM/+3eKLnwSt11QAAwEUn0HchxsyVfBhT+81336S2YwBCHeoQ215IjxYOnvk2Enm3OTZzSj3d9yOSK8advBrnqqOrFoNv8YErmQsxLY1atolkl19oqN4ib1n9HmrZZu7AoS8aw1NHiG4U2UiooXj47P3m9Px5Y2TqmGt1y42+23Z/2k5mJzIPPfMpY2D84KtKeQwAwIsX/y4/L0Jsalka5FjRmk8M5h47+Dk7lZ1GouCWtqy6W97U+W7sc0cBWhTnIYM5yL5+qe5ScNVla4TGmm35547/R+HZE/8BAADiysZ9XEVpe+GFU98AGHHuXRs+YIxMHc/8z9N/bS2kLlv+SR3HxorrR/auDR/kykvapA0d7ygePfs9J1OYp4alYq87wkaCja41LTezYX8tGw01QZbhqfXazaxf+X1YopHKFWM7JiXEhjag1LS07GMvfJYaZhEprqB2buhJO52bsRZSw4DBLBsNtyCRV4hm/MKFg99ELAsYLAPZa/cKtxYKNHfurHXiv/+r+JXREWfg2n38rWXluNLrg36Og5xpXllJsaqSInhl5703XPb880AXIdPTzviBJ/QH6+qYptEReyARJ/PBIAoDCihczNn7jeO3ee5vhretwAMwZpEshTxXbfvj3IuHv6L1DzyJJSmIPe4o21B/NReNtLtaGq/FshyGGHPG+MQRayE+iATBzVdWrHO1Nl9HCXGM0fFD1kJ8UO5a+x42HGp0crl5NhxulNesvhNi/LlXh7xRSggxzSLkeVlsbNgFCCWM11Mm1NdtRy7RbyWSI0LDip3G5NSJwvGT/+Vks7MAQsiVl60Sm5v2UMvSnPzPHCZYkgLBO++4k9q27hSKCaLrWSebm4UM5pT16963GHDc87AxOXncKWopNhSoV7rW3cP4fJXEMIvY7Y7Y8fiQ2tP7KNH1nOeq7X+KFTkMLtkxRDzn8l6z+/e5SKRN6x940s5kZ8yZ2W59eOSnlBCbr6roQhwv81VVG6hlqnYyNVY83f3AxTI1yvj91WxjcBcXibRb8fggeBUQQhi+9z0yF4m0mTOz3VDgZCxLYQAoXS78GAmC4tu35147lR4vnjn7A76yYp1n11V/bkxMHiue6v6e2NK0V+psv8Wcme3OPfv857myaCdXXraKCfhr2FCwIXPg6U8Z4+OHtb7+J5AkhQAIAiuRHJXXrX2PPjz6UwDA4UvHY0LBesTzcrF/4AC1LJUYRiHz1DP/AFlWEGprtgg11ZuMicnj+WMnvmXFFgaIqiUBoJQtCTdz5eWrheqqDVxF2RrIYP71nA0/D3KFd4W71t9mFYxMcGXZ9nRf7PjAt0/9va2aucq9Tfe4ou46LDJHljt+bNIaZxjI/ODRwg/uuk252+/D/lyB5Lp7jO4rGT83XRidOjL3JC9zXogRYxtEnz87fzg9lruiHU4AANCyZjI7UxwtbfWtne9Nn4wPZc9lZ9Sxt7L06kpxDC2rzU8e9zStvlOLTR6nhDiMSymJn3z2s+Gu3X/l79j8AVb2VjimnmEVX6XgL2mhhNhWPj1JKSW+lnXvlSsbdln5zFSi++CXGFEKBTq3fNhd2xq0tULcVvMxK5+ZeqksMj85+LSncdU7bbWwwEhKqZGK9Zq51DhiWJcanzntqWu7qWTj3r8TSyrXeerbD/qa1/o4b6gOIsSa+cykECpbJVc1XqPNT52kxLG8javvFIKRdj25dL4WcWwD86I31XPs63pi9pwQiLQZ3pc04wAAIABJREFU6fhgYWrwGVbxVizXfevl9dHVFOApBRRAW83HKHFMQmwdM6L3YjnRslwsVwWehlXvdAwtYxUyM9S2NFvLL2DB5YfolU4/SgiRyuuOBVdu/YgamzqBWE5iRDnMeQK1FwWtc9mBM/cr1c37GMkdMbOJEYQYDrGcnJ8aetZILvQZ2cQwK3vKKHFMetENdukYEGMecYLbyCSGU+cP/zvnDta569tvdpVWdunJ+QuX6wx2Kerc2OFM/5n7eX+4Sa5s2E1tU4WI4TAvLrnbR21L02JTJ921rfuVqqY9YmnFOiuXnnyp1E4Ml69217TuZ2VvGeZFL6CUxg4//kkAwMvZWHYhO5s489MvRrbd+HmrkJ0BGLNKTct1jCAFzEximJHcJXYhN4tYXsIc78a84HF0LV2YGnqOOra+KApNHEUcr4jhijWOrqYgQlgMla301HfeVpweecHMJEeWun4AAFi5il3/559Q/kGSoTI740ze/131P7o2cNsYFrKxGJlt72DXzs05UyUlKBqPk/n5OWe6vAJX797N3/CNr6tfDARReMdV/L6xMWdw0ybu6u98W/3yn35c/vT6Ddw2AMBPrmTd3044FrEghIPZmeIYJzFuLWumUqO5Xi1jJIhNbIbDfGl7YL2eM1O/6mtdFoxZJuCpBIQ4xuDEoZfEHSTyimtNyzViR8O1AEKonu57RO8Zfoqvjq4uHOr+rnq675E3Iu5cyptxPVzKYiMKwYN9njKkuIKIZQTAYI7ajklNS6Ompbr3bFJIUUvnnzn2FSeTm2Uj4SZrLt5fPNHzP0TVcwAAEPzD2+YBBZQtK2lFPCcBAF63lImalkptx8AeuVTesuo9hYOnv5V78vCXnEx+7iWnkR1LDueePvKvECEsdjTs9d541V8RVU+nHzjwCWNo8shyJfRXhENsaloaoJQ4qewM0Y2ca03LjfLmVXdBgZWtuXi/kyvEuOqyNZBjRbAo8CzrWFwOyGDWd8eemyDHitb0wgWutmyt2Fq/2ymoyeS3H/mwOR3rkbeseg8AABDNyHI1ZWukta2dr3deobWeAwBAJPKK0Fy7gy0vaYMM5qhhFs2ZeK+Tyc1ZseQw0c0C9nvKkST6wBKbWb/y+3AZEM+J2KtEsUcugTwnQYbhASUONW2NmpbGN1RFqe2Y6rm+A3rP0FNsaaiBMpgrHu7+rh1Pj1FCqbxl9Tw1LR373FHG7ykHAPT9Iq71Nx3TpKbjUCcWozMHHtcfnJ11Jm+7Q7ynogLX2DawWQZykgvKggBf08Ti1xXHAbZ1Meh54ybu6v4++6xLQvJ73+f6yMS4M8IsdpH6jSyL/m2e+5vh7SvwUAAQx7mMyamT2sDgU4ACSopqihhGnvH7q6lpqsQwi8iy1OLpM/dnnnz603YuH4MYY7Yk3KysX/c+ZUPXvY6qJommZZ18fkEfHX2RWrYud627R1rZcavac+ER8Oof1kUHT8GKLQzoo2OHkOQKIJcrUDzT/QO+qnIddiuRzNPPfcbJ52NSZ/stRNOz1sLCABQENxZFn9rb/4RTVFMAXCxRam/bygaD9U4uN0cd2wSAErYk3Mz4fVXa4PAz2edf+KKTTk9ekmMwyAYCfcF33fE1vqJ8tTE9c4ZalkYJcexkapRS6nDRaAe4RODBHk+Z2NK01ykUFoyJyWPF7nM/dPL5eYAxJ3W23xq4/ZYvO9ncbPaZ5/5J7e17bKkuUUgQFHnt6ndjtzvymk5jDMNDhhGsRGLEnJ077+Rys3YyNeb1eKLLBdUJtTVbpNUr36Ge63nYvXXzh9jSkhYnl5srnjn7A7GpYbeycf3v548c+1r+xcNfcVQ1DRnmAcRxMnYrJb591/6dtLrzHfrw8PNIEDxsKFhnLcT7jZGxg/KGde9ztbXsRxzXTcyffcwtCk4AIFHwQpYRoGVp2O2OUMvWscdTljt46N8KJ099Z4mwxQkAwAEsy0Fp9cp3yGtX30VU9Rf2wh4/MfWUtzG0lnMLflbhfYhjBEezCsQiBkQQuWsDbZzCL2spnY3Zsz4P9sUTTvzbD+S+9ZPn1SfnYvZcInVlXbQYkZFSI9kLp2cu/KMcdpXrOTOlpfTYG9mxykwXxgAAH7vS//9FQmxLV6qbD7nr22/GvOgTSyrWJk7/9AuFiYGfCMFIu63mY5wnWCdXNe5GLCcXJoee1uLTp81MclQur9suldVupYTYZi41TiyjYOYzU+7q5r2MKIexSw6b2eRI7PATnwQXLf56cu68Ojv2Iu8vackOnvke5gQ3FqQgsYwCMfW8Ojd+hFJK3LWtN3gbV73T0YqpwtTQM46hpV2R6s1WLjWW7D74r8Qyi2KofBViOdkx9CxieRlhhn11aRexLc3WCnEIAPSu6LwdYpYntqUJoWinoxUTrydGQswIjq6mtIXpk0KwtJVTwo0QQAQZRni1QPMaKCWUOJY6O3bISMf6eX9pS2Fq6FlW8Vbw/pKWpcY2krE+xzQK0atu/XLq7KF/y0/0HxACpS3UcUwrn5kClFJbK8Rzw+cfYhRPBesLNxanhp6mhNiUOpZS3byPGFpaW5g+xcqeitfMB2EWsZwMiGOxkieq1LZch3nRa2vFBPn/yfvuKLuu+upTbr+vl5n3przpvUgjjaRRr7ZsFdtyE65U01sCBAIJAQIEQgIBEkrAgDHNxr1KsmT1amnURpre+8zr7fZzvj9GSmR7VMB2bPj2Wm9pjda75dxz373n7LN/ext6eobAsrSr+dCYajYq55UsdZQ3bMlODr2iTI2clALFiy41jn71paCUlR17jVR82F2/6APRs4d/kh3rPyT485tsweIl2fHBI4xky5WCxUu12GQ75/SWSHnFiyGEuy4+22cSbvC+WNuRn+e0rP+KFp1sj5w++J+UEGIrrFiNON6uTI8fRhjziOXlZP/55wAAkBhaKj3YuYORbLmexqUfsRWUrdLi4S5qmZqRig1BhhEsTYlFzhz6salmZn125QZw3re/4/yHmhpmzn/+MPONoUGzV9eBNjhg9dbXs/MGB61eTaMqywJW14FOKaCmCYx9e/XtGzYKty9YyC0/dFDfFQig/GAQFbo8yCvJ0Hb4kL77ppuFu90edCIWJW+KgfY7CRf6TgcAhBke75c8Qo631FFLKaDOfLmkeGnwxsRoug+8Q41SIUbMBT8dyxibbmd97iJqmqpQXbrAdfPqL2VPdjynnO56ESCI5JtWfZFk1UTmQOuvrlSW9dadK2YYv7vYsWH5LXxJ/nwki27scRYyLnuQKGpCH5k6TzU9jSTBxeb5q6HIO2wrm99HDUPJHj//FFG1lG3xnLvsK5uN7InzTzpuWDpCLctkfa7QBa/AayN4DFMFEEK1vW9Pcsfh/yTpbAQymEMcCwFCmPG7c9mgv0qoK1srL6i/DdlET/yJXV/ReoaPvFFSgVrEpIapAoQYcU7VjdjnDlFVS2eOtz1hxZJjfHloMeRYwUqkJ+UF9bdBhuGvpKK+HLDTHuCK8+Yjh+x33LjsM1TVkukDJx/OtrY/DSDEQnXJSr44fz6llAi1pWuEquLlr/PaopRSy9IRz9sAISZAiIEYMRdX4SHPygzvthFFTVqRxDCwLAOJvEMfHGu1YslRbJN8F5T6sxM8b2M/vBYQIYRskldsrFjvuW/TSuxyBLFd8jO53nJgEcMYn+604qlxyHMy43cXI0lwivXl1wlVxSu0roH92TPd24TK4uVoXu1NbF7ONjbHHSaKlsCy5MYOWw74CyV4IIQQzZTMQMt6fYw4QhBhDDBCM6oLCgClBBCLAEKsK5cSXw4sC1nMAAZBAJev4EE6TZMv79Ke7+01O6qrmYaJcWt09y7t+ZIyXBUqwqUUAMpxkJckJF26H0IoeScqTy0LWJQCumgRu+LECeOQx4ty6uvZpiefUH5DCCAIAvR/4QX0duD/57b/OfiLJXisZGLMjEQHsufanwMAIjbXXynV122W5zTcih32IDVMBQmCM3PqzBMXyR0AALigyGnDNvmb1LR0e8vC9wklxUvNaGxAqChfzTgdeZDlJAAB4EKFzRDCjle9uAglRFXT1LSGqK5nSSo9nTpw6MdE05JSPD5kRmODkONtzpUrPp093/589mzbU1YqPQ0otTKtp/4AIIAkk40AMFNmJtXVbMyea3/OmJzqYP3eCjOZGuPygo3Y4QioPb17Gacjj3E68oSS4v85Bcbj5s14fESqrb7RSqWnLIQYoax0OV8UWsj6vGVsILcWALDt4vexJHlYr6ck8vhTn0yfOPl7JApOobR4GeP1lolVleuobmRjz73wpez59ucvtypHVDWFWPZXkGF4qr+atEEcJ0GWFbEkebDDEUA8b+NLipcgSfJSXXtdUgOWJbf/3rs+CgCEACGGcTkLGJezgKhqki8smCfPbbwjc+r0H5P7D/4XUWY8OKhpGgCAGIQwnti3/we+O277sW/r7T+lhJhWIjkOGuoYMxzpzbadf06srr4hfez4r8ElL0WSzUYgy/BsTk6VFU8MY1n2U8vSkSx7Wb+vItbTu+dKSRpWOh1GHPcL5XzHi2Y8PnKle/ONIDOa7B3e1vlQdjI9PHFo4Dkxx1ZY/8ll3zOSatRR6q1P9kfajLR+2YFoy3yxhRBKGuu4OUMj5lBHt96eSJLL1/S/BrVbyh8wVTMzdHh8+3RH9CRv55yNd1f/jZbQIgCA/37t9zGLWMHOuTCHBGJRMz2tjAMAACswouTlcxgei4hBLKCUEpMaxCImsahFLWoBCCBmEItYxGIW8ZhBLIAAxAbT3WpKv+ZzvhqUicGjWnSq0xaqum76xMv/mh7uflkurFijTI20JvvOPcNK9oC/ec3fcS5/pR4P96T6zj3HSI5c6QK5Y2aTY1KgaBHvya1J9Z9/XotNdShTI62WriacFXPvuODJAwAAgGhKInr+2EPBFTd/11Pf8oAyPXoyO9Z/0Egnx6S84iXUsozMSO9eIx0fMVLx4ez44BE5WLzYVdN8vxafMWhGLCd56hc/wHtya+Idx3+DOcGOWN4OWVYCM34W/wtCTM7pK7eFKtelBzu368nogJRfsgxChDEnOhHL28DrUlgu7T/OZgFKXVXz7hZzCpuNVHwIYswjhpUu+M1cFRBjTgwULaKWpQveYL2cX7IMYZYHsxgZW2omMv3Kzn/xNa38tJiTN1eLT3XFO08+Ejlz6KfUMhRPfcsDiOVkV/W8ewBCjJlOjDI2V0F2fOgY5/SVO0pqN2YnBo/YCivXGen46OsOASGCCDOIl9yMbA9CCHF2rP+gGh47w7n8lbbCinVGJvm68rrXAiHMJcf6Duip+DDvyalmRHsupcTClyF4AADAzKYm4+3Hf5PTsv7LYk7+PNbuLjJSsaGJA89/gZUdQVdt8/3JnjOPAUAB786pQqxgBwgzAID/eeZSYpmY4x+yVCXqKG+4zVXVdJeZTU8r06MnlamRVilQtIhzekohwmxuy/VfMbPpiXhH6++lvJLl/uY1n2Mke27s3NEH00PdLwNAqRQoWmQvqdsUPXvop8rk8KxllhwHufd9QLq3qBiXb9+mPrlgIbvsXJvRaprUDAZRwaIWbuXePdo2noO8KALJ5Ubexx5VfiUIUDxyWN9TWIhLgnm4cFELt3L/fu2lefPYxZk0Tc+bzy4+cljfs/km4V0NDex8hOBLb3WE7NsF0cV7599f/WHLJIbk5v2yTwxCNOOqRf/Micr/CRBikCx5AERIWlB3GxvwVWaOnnmEzffXpvef/LU5He23r1n4IeyyB9mC3HrlZMdzVyvFeSvA+FyFzo3L75UW1N9KdUNRO/r3QYwYyecqSe9vfSi9v/Uhoulp7LDlYLcjX2ysWC8vatjK+N3FJJme4ssKF3GFgQbAYI6kMuHs6c4XzFhyDBBiIIctAJirkNkXQHVDubDARdmCQL3nvk3fp6qevhBjrpJ0NkJUPc3mesrllsat2GHLMaZjA8rprm1vVLkEAACAXFDwQAApIWbmQOuvzUhiGLvsQb48tFg93/uy1jf6im1Z0/3ygvrbIMvwVwu6mA2Mx1HA5njLEMdKjM9VZE5GeqR5NZul5totVDMyF8l75XTni1YiPaG29+25UEZEIUIMsokecyLSzQR9VfaVze9P72/9JVdasFCoCC0hWTVBVD0FGcwxXmcIuxx5bH5OLYAAav2jJ+SWxq1MjqeMKGoCifzshPrb3Q+XAImCXW5p3GRbMf+92C75td7ho2p73255Yf2dWufA/uRLh39oTsf6kSS6sduexxflNdlWzn8v9rqKqKZnmICv0iZLXoAghCwraf2jJ6y0EqWKlkQOOQfKs6tG34nAGKLCQlySk4uCCEG8ajUvudzQK4lQdrnQH+NxEgUAAJsN2fLzcdGmm4SG6mqmMRDA+SwHuHSapqYmyVhfn9lV38B2jI1ag/E4jV7re6Oyiq375KdsW5vms4tdLuSWbdAeCOKCGzcKt48MWwO7dmrPjo5agwUFuNjlRG6GAeyKlfwNjzzO7qXk1cTAqVP6UY6DH9R1+j/vZ4Qg9HqRPxBEhRwHeXhh+EEpoNNTZGJoyHzLn40WoZZhUP3YMX3fU0+ovw3m4cKfH8q8zDCAvf0O8T0XhkTX7EMjCFCQZWiXZWSTbdDO81AwTWpCCGAmQ1PJBI0lEiRuGPTPUmy+mXiz2/7Xjr9YgkcbHH6FLlr4PjbHXyVWVqxjA7k1rM9bDhjMZ8+1P8+4XSG+sGCe0tX90mymu1Y6E+Hz8/8g1dduooSYVjI5zub4KomuZ9S2888KZaUr+MKC+dnTZ58El8RJUkoJ0bSUXFmxRuns2pE6ePi/LypFsCQ9LNbVbHStW/351NHjv0zu2/+D1ygfXrXqhWy2HLGqYh0xDMXIzalRO7t3Qow5xu0qRILgdK5Z+RlizMhxqWUZiOdtSBRd2GEPYpvNDyzLEKsq1lFCTH14JhWLZJUY43KFLqbnQAihWFfrp4ahkEw2gh32gK153j1IlNza4OAxJPCOzMlTjygdXTuuJrm+4GvzuskiZDAHIIRGLDZoxROjACOGcbtDECOGvIYMghBC24L5m1i/vzLbdu5ZyLIC4lhJGxw6akxMtfPFocXUMLLJvQd+cJHcuRSUUgoZ5qg+OnpSntf0LkAIySbbn1N7+vZCjFm+uGgx47AHxOqq9eASgkefmGy34okxxHGyUFa60ozFh4impeU5DbdRy9L5stLlEOO+y6WnAQAA0XUFANB3pWv0RmGqhgIA2AERQtMs4opvqfuwrdBZMXUksc3M6qnIqfH92YnLx6S3d2nniwvZEqcDOxtq+Yb1q6X1B48qBwI5zMGJKfOyMfKOPFtx3vzclfkLchu0lB7nHZyn5uby8dpbK3yeUmdtfDA5a5JD1fWFdwRq3c2Cg/WYqpXlROazumJmC5v9q+bcXvpBiADGDGIxizgloUdFF+9LTyuj2ag2jTnE23LEPFbAEoQQ6RkjJTg5z5EHO74JANj+xq/mDEw1G3OU1v2Sc3pLeJe/wjtn2cdcVU13adGpDmVq5IS7ZsG7Obe/KtZ29OeZkZ49UrB4sbum+X4jFRuilqUL/rw5RiLaTzQlgRhOMpV0ONZx4je8O6eKWoZGjEtibSmlEOND8Y4TD9uLazZGTu7/PqWE+JvXfF6Ph3vU8NgpwRuoU8PjZ7XoVKecV7LMVdN8L9HVJOZFl7dpxafk/JJlZiY1kRro2KYnYwMQMwJiWRExnAxeQ/BAzHCmkp6KnD38U0CIycj2XCMVH9KT0QHW5ipEHGcDs3jGADDjBBzaeL9E1Ww03nHit8r06CnRnzdHi062e+cu+zjiBPuVrivEmIOYFQEEIHxi979pselOR2ndTURXEvaSuk0XDJ5fhQtkeTdi2M/I+aXLxJyC+azTW6LHprrU6bHTlFgGMfS0kk6MZcf6DzCizZ/sa3uamIbKOTzFRjo+4ixvvM3S1WR6qGsHoK9diYUAAAAdpXU32Yur16eHul+2tGwUYkagpp6x1EyYmuZVV+UYmytfzCmYRwkxMyM9u/VEuFf0581BvOC83DaUUoo5/jHG5gx6GpZ8WJkePWVmkxPO8vpbBF/eHCOdGFEj4+cgRJiahgIoscAsCVPWDCn+e0aQtskF5SttocrrPQ1LPsw53EVabLoTUGKxdneRMjVyInL64I+oaWQdpXU3q+Hxs4nuF/9Rj013y6HKtc7yxtsAADDcuve72fGBI5RYs65aB/Nw4cZN4h2SCOX+fqtbnia20jJc/cdHlF8sXcav9eeg4M1bhLvjMRo1LWp6PMgPAADnzpknKQX02afVPyxYyC4XBCitW8ff9OIL2mMf+oj0d24P9O7epb1wqtU4smoNv+HEceMgeLV3wV8NBBfv9ZQ4avSskTayZjrSlzwvODmPElWnDNV6x7YZIoiRxDuprmfN8XBXcueRHyGRt0OEGa68YL5QU7JK7RzYRwfGWvnSggVa/+iJq6XrvbnnhxBXFJzjuXfTPwiVRcuUc727jJHJc2yev1qoKV2d3v3KfydfPvZTvjS/WQwF5wj15ddxBbn1SBbdEEJkTEX7ktsOflc507XNiiZHAYYMxJi1MkpcXtQQoRaxkMDbILqy39hFUMNQgWnpEEJEdUOxwvFBK5meBJRSomopJAoO7JBzqGnp+sjkObHWlkNVLWVGrmwqfa34HwUPAMBKpCe5UHCOvHjuPcbIZFvm4MmHqWZkhdrS1WJDxfUAAIB4zoYk/rLPrMsBO+2BCxHdAPGcxIWCjQCARpJV4tmTHc+SrJqALCum9x5/UO0ePAwAAJBlOKGqeDlbGGjgivLmJQfGWrlQsJFk1bjS1rNTaevZpdeXr0OS4MQeZwGXn1OHJNEJGcxCBjv58lALV5Q3l2TVBJJFN6CUQp6VZju/t7sfLoJxO4KuW1b/jW1Z033G6HRH5vj5J7Esuh3rWj6uD42fjvz62U9glz0gNVVv5stDi/ny0GLssgcgRixRtGR67/EH04dO/daYCHdTw9KQxDtIRo0zAW850XUFMw4eccyfTNBdCzCGuDCESxob2ea8fBSiFJKxUWvo/Hnj9OCA1WOar1fcXA02G3R8+jO2r96yRbzn0v/PZmi67axxgmFgcn4zu+QLX7RtXbyEX4MZwPT2mO3Dw9YAJYCsWMWvLy3FVZQCGg6TyVeOGfufe1Z5VBThC4pCr6oa3LRZuPNdd4sPdHSYZ4aHrYHCQlyCMWD8fpSbStJEcQmu8HpRzsiINfDII8ov8vJxUWUVU9fVaZ6bmrTGdB1oc5vYlvnN7JJ4nIm81s+loAAXf/bztm8sWcKtsdmhAwAAEIIYY4B3bNeewhhunU2p9GYCAgggBKiigqm7cQN/2wsvaI/Pb2aXbdgo3B6JkGmHA7ocdnjF37zHg3zzmrnFFRVM7d//g70gkIvzA0GUnxvA+S4ncisqVRACeGLCGhkcsHp6esz2628Qjh0/pu+Pvo1K3Dej7VcCz0O+ppadU13DNHq9yJ/N0szggNVzrs04OTlpXXVh8FrgdCFXdTXTWFrKVLpcyEsotSbGyejIiDUwPGwNRMJk6s26h/5iCR6iKDEkCA7sdOQRVU0ak5MdSnfPHjMS7WecjqDr+nVfAhBhLF6e/Tbj8REzHOkTystWWrH4SObUmceQLPssRYkbkWg/HypcgETRCS4heAClFtX0NJkp8cmzL235oHPlcovqhuJct7pcbpq7lWSzkezps09erayFzfFXYrs9gBHCWJK9rM9blj1z9snU4WMPxl7Y/k8klZ6CHCtxecEGQCkVqiqvMyYmzyGBt0OGFax0OizVVt8oVFWu40tKljAeTzGSZR9RlBjkOAkAkAEQQixLXgARZoOBBiubjVLT0qlpanwotAC7XAWpw8d+fmk5058MCBGglJrhSC/kWIEvCrVQyzKoaWr0NfvFdnuuPLfxDoAxxzjsufrEVIeeSk1gWfLYFsy/jyvIn5c+9sqvLvUpei2oaeqO5UuPSA31txiTUx362NhpyGCeyws2qL29exm3KySUlixFHPfTC6QMsGLxofTx1t+IdTUb00de+SWyyX7G6ylO7Nn3PXvLwve711/3ZcblKuTygo9Z8fgwUbUEJeRtW22mhBDEoHM9fzj975663MWMzDsGnmt/MHpm/AAxrMvWCh9tVY9JIjpbVsyWbVwnb6qv5uuLCtjixQvEJbl+5juT07OTPJJPDHjKnPWWbmmczNoFJ++1B+UixCBWianTsf7ErBLh4pac65SEHh0+Ed5btChnHWIRBwDIOoJiSM8YqfG26DFTsxRnnlySjWlT/gpnY2I002dqlurMk4vHz0SOYBbxopv3paeVsZIlgfUQvfkeR+mhrp2AUuqsnHuH7M+fCzHD8W5/ZcG6rQ9yTm+pkY6P2EtqNjjK62+xlGwkcvbQT7JjAwcxL3m8Tcs/6SxvvI1zekrEnIJ5ejLan7v4xq9xTm8poMQi1qsJA2pZJubFX1HTUBxl9Tenh7p2hlv3/jsllumqbNpqKulpPTbdxTk8RWKgaGHk1P4fyvmlKxxl9TeLOflNqYHO7cmeM09kJ4eOmdn0VGakZ7ezcs4diOVeNdjFHC8XbX5fMWdzFQSWbvwXS0lPYV5ya7HJDkCIBSFEiOUvq8KBM0CMZM9xVs69k3O4i5K9bU8BCDFiOJmVHXkQYXw5YgAxnIQYzMXOH3+Ikey53salH9ETkT5lauSkrbjmxiv1BzENFQCwEzHMfimvZKmrct67bEXV6yFEGCDE6PHwy5gX3bwnt8Yj2wOIYUUpWLwEMqygTo+eip175ZfZiYEjr0vYocSilqUBCKEyMfSKpWVjrM0VwoLkxYLsZSR7bmas/yAFV1ZV2Iurb+Dd/kpLzUYRy93D2lz5WJR9eEYRdVlYupbBHP/D7MTgMVfV/LudFXNvx7zgAgAixPEP9KsMAAAgAElEQVQ2apkaa3MVQMwIhpKeouTyq8mmmo0BAJ7CnLCL9+RWu6qa7pILylZyTn9larBzR3qgY5ucX7JMzA0tUKfHThNTz9qLazfyc33lkGHFVP+551KDndvNdOKyUeUIQbjuer7e70eBwUGrJ78AhzAGzL49+vbSMqY6N4DyGQYwmgYUCAFMJmis/bx+Oh4n0fw8VFRQwBen0zSlaVSRJGRb1MKtOHHCOLRnt/bixz5h++LhQ/rutjaj9YEPyZ/Jy0ch8BdaanA1IAyZ6c7YKVO3VHfIXjFyfGqPq9BWHmrJXcfwWAQAxN7uc5wVEELIcZI+PNmWaT3/tNRUvUmoLllpZbLR1P7jvzRGp85hu+z33LPxe0gSXFYyPQHo5U3b39RTYzArNlZe577jum+wef5qMxwfZLyuIjbHU4bdjjyiaAkjEh+0r1nwQZJRY1xx3jy+rHAhNUzNGJ06T1Q9nXhmzzfVc727oMjb+ZqSVWJ9+TrG6wy577i+i/E4I2DGVtGcjWidDZRQi9KZwbdyuvOF1N7jv5AXNd5hXzn//dQiZra1/Rmta/AA1Q2FKww0AAAAySjRKy0c/WkXBUIAIYIQQqG8sAUJvD17rO0xYyrSIy+Ze49YX34dG/RVAggR0Q0FCpwN2205EEFIr1EFARnM2tcszAcYYWN8ulMfmTpnRRPDZiw5xhfnNYlNNZsBIZYVTYxkW88/zQb9lTSrJuSFDeuYgLfCiqXGtP6RV+TFc+42hifa0vtbH2J8rmJ5Qf1tfE3pKiRwNq1n6Ig+NH4KSqKLDXgrqWGqkGV4vX/0RGrPKz9zbl71RcgxAtVnJ+Pf7n6ACCE24K3w3Lfpn8W51RtJOhuFHCuKjZU3YJvoRjbJo/YMH5YXN74LUEqw0x4U6svXQZYRjMlIDyDETO9v/XV67/EHKQWUDforxbry67ii4BwrnY3qA6OtgAIyUwb95hEGGEPk8SB/fQMz7xvfctw6fz63BDMAsyzgcnNxXiJOYsPDVv/oqDV47/3S3iOH9N1jY9ZwNkuvaX5gs0F7MIgLHv519kcvPq8+1tDINt97v/iRnBwcXLSYX3nDBuHWpnnc4nDYmty1U3tOEKCAGcBKEpRzc3EeIYA88bj6cH+f2bVmLb9xw0b+joWL2JUvbdeeKi5h/m2g3+y50vFZFrD9/Vb3N7+e+tzkhDUWCOD8W24V7qmtY5tefF59zDCAPjho9k5OkNFMlqaffVr9/b33Sx/d/qL6hGFQY/lK/joIAUyl6KwK8kAQFTQv4JZ9+1upL/R0W+0lpbhy4ybhzvnN3JLCEC5xu5EXADD1p/QJz8+kQpWVMzVN89hFwTxcyPNQQAhgw6B6OkWTg4NWz7Gj+v6+XrPT4UAIQQh7e62OB3+e/Z4kQ9vIsNX/uc8k3puXj0Nf+7rjP0UJzkqMIgRh0zy25Xs/cH3Z50O5FgEWBAAUhnBpf5/Z9dQTym8wBjiZpIlVq/kbS0qZSr8P55aWMVWr1/Ab0ymaePd75Ue3v6g+MT1NJqw3qE79v2z75cBxkAsEUH7LYn7Vj37q2lJaylQZBtX9fhwQJShPTVpjY2PW8L/8q7Nr725t2+lTxrFwmEz9KYomhCDKDaC89TcIW370E9fNqRRN7N2jbRsesfo/+CH5s6EQLp2asiayWZrOZGj6299x9g8PW/3DQ1b/5IQ1mkjSuKpSZXLCGr3W3yIAf8EED8CIRTbZJ9XWbFQ6urZnTp99EmKE5bmNt/OlJcuxy1loRqJ9Slf3rDGLAABAFCVuJhKjlFgm5FhRrK3ZYExMntf6Bw6Z0diAa93qLzBORz64NOaVXjAONgyVpFKTF0ycWSMS7ae6kYUIIjMaHSCaetWae9bvqyCqmtAnJtutZGocCbxdrK/bzAYDdbHnXvwSUdWkkBdoYHzeMkAoMaemO61kchxYsiFUVqzli0JOxucpAYRYgFimPjZ2mnG5CgGCDEDwokEqhDxv18fHz1rJ5DhfVLiI6no229e3XygtXQ4IscxY7A2talCLmAAiJDXW38IXhRZlTp15jOpGlnE68qhuvJrgcbsK+aLQQqWze2fqyNEHiaqn2BxfJZZEN7UsA3GsZCYSo1cbcOkjo63UMBQrm41Sw1Sxwx7QxybOMh5PCUAIMz5vOeP3lQMAzgIwoz5i/b7f86XFS13r137JTKYmsidPP4rdrpAZifZBlpWca1d9zraw+d1qd/fLanfvbi4veNKcDndfGhf7VgNzmBNz7SE9oUbkfGcuI7K2ZH+0jVrUgghiW5G7hnMIXXpSnbVMi2MhW1HKldRXc/XBXCbociI3hADmB5kCUYSXXQnKRpSJ2ECyQ84R8xFGjJrUIgzPSJhFXGosMzD6yuTu2bZDGLH+CmeDp9heTS1qmpqlAAAAMakRH870+iucjYZipV0FcpmpW2piNNOfU+VqSk8ro95SR63o5v3x4XSPK18utQekQnuu+DpflTcDxDRUCOEL6aGul7AgezmXr5xzekpZuzuEedEJIURGJjmeHR84ok6NnCCmoVyYFEcZUf7qTJpRsBFChCDGHKCAZjPJcSMVG7ayr/essjQlgTnh946Kxlu9c5Z+zEgnxhDLSXoqPpwa6NhmaUrMVdN8HxZEt+DLa8S85NKTsQFGlP0QY56RbH5bYeVaACgVfMEGxIlOxLx6NROxvB1AhCDDSoIv2AAAJQBAxPsC9YAQS09E+qhpXFatQollJvvOPSf48+dwDncRYjjJM2fpxzibqwBxgh3zogtCiAEAsw4wKSUWABD6m9d8ATGcCCCAYm5hs7Nq3l1EUxLUNK664kZMU4MQ7s6O9h9gbc58zp1Txcj2ACPa/JzTW0yJZSKGFYlpKLH2Ew+r4bHT6vToKWLo2dlICzObno62HXlQLihdDgCEmOPtEEJELNMBKCWJnjOPJ7pOP3bZ6GBKLVPNhI1UbHDyyPavYE5w2oqqrneU1m1GLCdbWvaqE3VL1zIQwt3ZsYGDrM1ZIPjz53JObynmRTdkGJ4kIn1qZPxcZrhnz9X2NbM/NQUAeAVh5jTvzqmyl9RuFHML5nnnLvs4IzvzMM87pGDxEjOTHFOmhk+k+ttfSA12brfUTORqEdMMA9hly/nrHE7kbjurtiaTNLZ2HX+TrgG1rJypKSnFlS88p/3x0CHt5bNnjOMDA1aPplKVAkDhhemm14v885u5JZtvFu72+XHg+vX8LT/4Xuari5cYq2+9Tbzv4YeyP5JkaF+2jF8H/koJHmpRy1CsTKQ3cc5T4qjJrXXPF928PxNWZ007fMcAIQxZzGO77HPeuPxvAQAgfejUb81wfJCksxEkCS7X7dd/na8ILQYQQqobKvg/qLKDHMtL8+tudt95/TeYHE8Z1fTMTIlN5wt678hRecmcu4W6srWM0x5UWtufkVrm3CVUl67SOvr3ZY6cfUQfnjhLTVMjqpaWFtXfIS+ov50LBRpJVo0zXlcRdtpz1e6hQxBBZCVSk9S0ru0dT//X4YGklShXlDdHaqreRHVToYRYfGnBAqGmdBUb9FYiSXQBAICVSE2+WaQYxJCBHCsAAIAVT0+kdh39MZIEl1AeWoyctlyIMauc7Xkp29r+tOP6xZ/kq4qXY7cjDzIMD65QqvuqYyCEkSx5gGkZyRcP/Htqf+tDjMdZyFcWLSWKllJa25+lupFlC3Lrvfdv/qEZjg/GH9/5ZeV05wt4yJHPlxe28CVFC9TOgf1qe+9uQAHBdsmnj0yeFWpLVwEAKHY5gkTVU8bwxFn1fO/L+uDYKcbvKbGiiRF9eOKsORnpRjbRQ9LZ2dUCb2M/QAghV5I/z731hm8J1cUrAYDASqanlHM9O9VzvbsYr7PQtXX9t1i/qyS978QvmYC/0r625aNWNDGaOXr2UeVszw4AATTDsQG+PLRYml97s1Bffh3VDQXZJA/VDcVKZqYgg3miaEmSUd4UctjpRK4bNwjXb7lNuG9RC7dCFKEMAKBDQ1a/3Yac2QxN79+n7zh5Uj/S0MA2f+JTtn98z3vpJ1/aoT49bz73zNkzxvGrTWplGdpzc1Heju3mU34/Cixdyq2NhMm0348DH/uE/KVshqbHx62Rhka2uayMVh85rO85e8Y84fFC/4IF3DLLAlZtHTP3+vX8zQwDmFiUhl1O5N56l/gBlxt58gvwZ0dHrMvOV0wTWJQCkk7TVDRKwkXFjLOomCmvqGBqh+rZuS/tUJ/RVKAE83Ch14dylq/k1/tzUGDtOn5zOEwmjx7W9z72qPKrj3xM/nunE7leu/94nEZ1jap2O3K63dQbCjGlDz+U/a9EnEbrG9j5F1Q910TwMAxkysuZ6g88IG9euoxbm1Vo5sRx49C2F9QnslmafuBD8mfXrBXuRAigbJZmTp8yXnniceXXx48ZBxAGGKOZj65RrbvbPJ+Xh0PVNUyjrlM9laSzzj8xBszKVfyNdgd0/sd301+x26Hz5i3i3X29ZueRI/reefPZxQgBbLMBh9+Pcp98TPl1T4/Zfv6cecrjQznrb+C3fOCD0t+uWMFd/82vpz4HAJhV2f9ObPtsCIWYkvveLd285VbxvvIKpobjAK8oNDM+TkZ4AYjTU9bEM0+rv08mSaJlMbfqm99y/rSnx2zf/qL6ZEkJ81z/VQjHi2icwzZ/6tPyl5sXcsuPHNZ3/8e/p/9pOkwmP/Ep+R9DRbi0s8No27lDe4ZhIVtSgiuqa5jGNev4TbIM7RhDTCmgiTiJfeXLyU8iBJ+41pLFv1iCB4uiC0KElc7ulzKnzzyORNHNBYP1VjoT1geHjgklxUv0kdGTZiIxerl9UEIs17rV/ZBheCRJ3uTe/d9Xe3r3EE1LS7U1GyDHSVyosBkAcOzVGwJqJhIjZjw+bKuqvA7bJC/j85VDlhWRJHmsdGaampdXWfxPG2TZp/b27Y+9+NJXGY+rUG6auxUJgoP1+ytc1639YvrEyd9Ry9JJJhuBHCtpfQOHIMsKQnnZKi6QW6d09+5W+/sPUGNmImVMTncKpSXL6Eyd9gyxAiFELCuyOTlVfHFRizE13WnGYoNcTm61bX7T3ZBhePoGJddEVRNEUeJqT3RP+ujxh5AkuoXiohYAIbw0RQsihGzN86oBwow+MXFOrK5azwUDdUiSPERVk4zDHqQAUH14tPVqJnhmLD5EskqMCwYbAKGWPj7exocKF+ijY6fNWHxIKC5azPp8FeACwQMAAMZ0uFesrvqu56YN39JHRk8STUtjSok2OHSM8fvKscMegBizYnX1DWJl5Tork542psJd9kULtqu9fXutZGrioiLorYKjzNtYsK7irrF9/U/65+evARQAxGIOwBk5PecUfIPPtv8cAHB0tu03r7fdtHqpuDpUwIQyGZrZd1jZe/KsdvL4afX4wJAxcLnjJkfTAwjDX3rKXQ2syMrxwWQXAAAQkxhGxkgRMjtTf+aJvp/ZA1IhpYBmo+okMYgBAADjbdFjDI8FPWOkMhF1ItyTaGMlxgYopakJZVhN6tH4ULpHcPJeRkCiEtfDjIilbEybNlXzz1eTXQGXGKKOX/jsv5btTCUTAQD87OLfCGOWUkCvpL4AYGZiDhH6jTI5fNwWqrxO8AbqMcvJrpr59zCi7Odd/gojFRtK9Z97To1MnsMc72DsrgJbQflqZ2XTXYxkywEUEFPLxjLD3bvMbPpVAwcjk5wQ/fl/w9rdodmqji0lE9FTscGrXI8HIUQzq8IYc4xoy2FEmx8LokuLh3spIZcd0OnxcM/Y7sc/jnnJRYllUkoJhDPOI9SyNHV69JqS2y7pl37wBiNHLU1JAAD+C/Piby4QOxq1TPUi0QEhhMgu+y6kk8yEqmeV+EX/LUvJRCYPvvBFSi3TgoZKIWIzkaFXlMjISaLpGXV6/Myf0CYNANB74fOGQSxTBwCchRC2YUH2sjZn3gxpxIoAAmgpmbAeD/dcUP5cEzwe5GtuZpdmMiS15Tbxvj/8Lvuz1hP6oTvuFN87PGz1//NXk39zcL++M5EgVzKgHeE4+JQkQdvCRdxyCCGMRMn000+qv1u6jFtbXIIrVIVma+qYuW/8KrwzYWhW1jKJER9OdY+dCh8sWhJcDyGA053xU2/V8+zNAMSYAxAhJtdbro9MtGUOnf6dUF2y0oolRozxcJfUXHcrVdSk1j18WKguXgFZVgCvr7x8U4F4TrItmXuX69a1/4Rk0aN1DR5I7T3+oHqu92VgWYZj04q/w3bZH/3tC5/RugYP2tcs/KCtpXGr2jmw34rGh7nygkV8eWELpZRyhYEG7LIHte7Bg7E/vvQloapoGcmqifhTL39dnFO9ATIMb4xMthFVf51X4GVAAaCUWsQkqpbSugcPh8emPggRYpDI24W68nXyooY7lDPd24Wq4uWM11VoJTNT4M1ixRBiIMsIlBDzIqHAFuY2cIWBRiQKTm1w7CTEmBXqy6/HTlsAAACwx5F/IUnr2gxjIUSI52SqG1ltcPwUkkWPc+OKv2N8riJ9aPwU9roKxcaKG5AkutIHTv5a7ejfi32uYrkgt54vK1hoTsf6lbPdO8zpaB9fnD+fCfgqGZ+7yEqkJpTTXduIqqW0nuEj+shEG4AQAjrjfsKMhzuxz1UkNVbewPjcxWrXwAErnrpcWcTb0g8QI8xXFi1237n+m3xZ4SJzOtaX3t/6ULa1/RkzEh+yLW26V6gpWZV4avfXMsfaHucKAw3ODcs+a8VT4/rA2EnsduTZ1y78ENX0LBPwVbC53nIzHBtMPLf320gSnLZl896d2nX0x0TRktgu+8xYYtQMxy/7Dr8WYAxRRSVT9w9ftn+6tJypPnxQfxkhiBrnsAu8XuTPz8ehY0f0fUeP6vsIAdaiFm6lIEDpj48ov5ieJpMrV3Hrlyzl1r60Q3vK68U/i0Ss1y1oXQTDQlYUoaQqVJmYsEYPHNB3btjI3w4ooKIIpXSaJgcGrJ7BQas3lSIJtxt5b9zA35YbxAUIAeTzo0AmQ1MH9us7Dx3Ud8ViJLJ8BXf95pvEd61Zw28aHpL6ZRn9cyZDZv29Tk5Yo4IAJb8P5dbWsY73vV96f6gIlx09qu89fFjfMz1NJl0u5C4rZ2qamthFOTko8NuHsz/e/bL2Ql+v1ZnJkExBIS6SZTirUtc0qKGqVHn3e6SP79mtvXj2jHGioAAXV1Yx9ZgBDM9B/mr9gRBE+fko9IlP2d6zbDl3XTRKpv/4qPLLkyeNo5k0Tc1tYhfdvEW8u7KKqZ+aJOM9PWb73t3aNgoAvf890seDQa1AEKAkiFDMDeD8hYu4FQwD2PoGtikSIdOJBI0q6uwqD0oBTadJ0iYjx/obhC0lpbgyFiXh48f1g4QAKycHBzs7zLP5+bgonaYptwf51q7jN4sSlJ9/Vn1UVWgWQQA3bBTuuPte6UM2G/qndJqkrtbmd0LbL4UgQGHZcn7dP33N/iEEIdyzW3vRIsCqqGBqZRnZ/X4Q2Pai9kRXp9EmycjW0sKtVFWg/PhH6W9zHOQ2bhLuWLOO37hps/izXTu1ZxWFzDovhBDCqmqm/u+/ZP+qJEHbd7+T/sdjx/R9DAvY975P+lR9Pdv09JPK73SD6jm5ONh+3jjd1WmeO3/ePO1yQU9VNdtgt0NneTlT4/OjnOUr+esO7NdfAtcY2vAXS/AgUXQBCCDV9YzUWL9FLCtdoXR27zSj0QGptmYjgAhT07xqWooRjvaRTDZiTIe7IMtJYnXVeqm2egP2uIsAAIAvCi0EAPzoVRtRSoiqpbTBoWNqT98+LlTQLDc23EoUpY8PFTSTTCYCrkEKChmGJ6qWggxmbfPn3YNsNj92u0KI420AY9a+eNEHjKmpDjMWHzFj8WGpac7t2GbL0ScmzhuHjvw3EkUnttn8AEI0U6KUN4dalpE+cuwXrzKSw4ixUqkppb1zGxJ4OzUtDdlkn9Y/cIgvLVn656QsvOpyGIbmv+/u5Ey8O8Nz+Xlz1MHBI0iWPNS6ZIIIIcJudxESeIdUV7tJHxo+rnR27wQQQNbrLWWcjjxgEZMoytXTLCxTt9LpaaN/4JDS2bWDDxUu1MfGz7A5/grW5y0HCGEs/6/57UWo3T27I489+QnnqpV/I9bVbtT6+g8iUXCYsfiQ2tm104zGBiDLSlx+3hyptmaDWFG+RqypusGKxoYyZ9qe4HJz/mBMh3veqohNI60nMuOpfjOtxbNjyT7GxjkBBQAiiCCDWMwzErkCeVhbydXqBtV/93jqt4ePq4djCRJXNaJcahR3ORCLEszhdkApRQxiWYm183bOJvnEoCPPpiTH0q8baAy3hvfDmUEanUlAmBlARfqS5+PDmV5KKSUWNQG40AYI4Aw5QglEECEEMcQQX/wXIoj1tPGOTJy5CPInyLwv3CfnEGa6EcfbAIT4YnEUAAAS01CIoaUuISBa04NdOxHLShDOxJRTSi06873XeXko06OnAQCn30h7KCUUzKh0FDCTGndNA8oLZVaH38ix3ypcIHpeByTyds9dm/+DDQXnAtPUSFaNpw+c+BVE8GFKKL1AopwRqkqWe27a9GUIISKantK6Bw9ldx764VtN8F4LLpBHYXAZb6U/BXOa2EW8AIWnnlR/u2w5ty6bpZlEgsRUDai/fij7o5e2a08ZBr3qAoCuUz2Yh3fcPSh9uKfbPM8ygDUMqu3fr+1Ytoxf53AglzSzYvxXiWxYmejZOfyYnjGTfXvHns2G1QmIIZ7uip/W0sabZhj/pgNDBgIASTobSe44/ANAiKn1Dh81hifOMgFfRebw6d9Ri5i2FfPfK1QXr0ACZwMzRldviYwH8ZxkWzbvfufNq76EHbac9MGTDyee3v0NM5IYRiLvcGxY/hksS574M3u+YYxOtUOes3HFefMAi3nIMaIZT41p7f17KSGW86ZVX+SK85oyh079zoolR/mqouXinOoNVDcUx3WLP8YWBhoARqw+MtlGtdeHQcwKQgmggFLLMqhhqFYiPQUAmGJmfFY28RWhJaldR3+SPXH+ae97bv4R43UVkowSu9o49FoBZwgeEVjEQhwn2dct+qi8eM7dkGV4oqhJNuCtgBwrIVFwEF3PAkotxuMsgCxz1Ynn/x4EQIBnjsMVBhqN0al25XzPLr481CI2VW/GdtmPZMlNdT1LFDVpW9Z0P7JJ3uyJc09mXjn3BFX1FLUsE2DEsKFgI7JJHmMi3GXFkmMknY1AjhH4ytAS26rmDyBZ8iCelZAsui8aKpOsmjCnY/3K6c4XLht88Tb0A8QIC1UlK9xb13+LK8qbqw+MtkYf2fZ5vXfkGKWUygvrbxfnVm1MvXzsp8qZrm2AUsrm59Rhlz1ApqIZSoipnu7eYYZjA9Kixq322rK1aufAPqWt5yU2P6dWqChagmySV2qu2wIZzCO75LN6h49akfjwn3vOGEM8t4ld+JnP2b6eStHED/8j/c+KQrOUAup0QncsisITE9bo2bPGCYQA2nKbeK/bjXzHX9EP6BrV7Hbo7O40z3dDcH7LreJ9dgdyOhzom8krBXdAAItLmArMQHzLFuEehgHMsWP6frcb+U4c1w9pGlCWLufWJeMkNjho9Q4MWD3klHG0uJipUDWqnm8zTl5Q35TdskW6l+chv2e39mJRES676Rbx7mPHjP0YwxdmKw8aHLB6KKVk5Wr+BkGA4t49+vZf/iL7g1SSxL0+nLt4Cbf6XXeLDxTk4yLTBMaDP8987/BBfTfHQWHefHbx+hsE24aNQnlBIVM8OmK+bhyUzdL09DSZyM1FeWOj1tDQkNVbVcU0GAY1RAqpKF65POjChL/27z5v+5eCQlz8zNPq759+UvkdL0BhUQu3cuMm4Y5gEBVQCunuXdrzhw7qL/MCFOrqmKblK/nrqyqZ+tJSporBAE+HyeSd7xLfX1PDNPb2Wh3f/4/010pLmMp3v0/65MVUsteCUECmp8h4SSmufOZp5Xc/+XH625EImRZ4KBSXMBU7tqlPlZUz1Qtb2BWJOI16vMifn4+KWlvh4a13iR+YN59bLElQPnJE37P+Rn7L9hfVJwAAB656I74D2n4RPA/5LbeJ977v/fKn9+zWXtixXX3a6UQuvx/lCjwQLAtYw8NWf1+P2ZFfwBRt3CTckU6R1PHjxkFKALHbkXP/fu2lwhBT8refs30NMwAjBP8wm6rG5YKeBz4ofyYaJeGf/Fj5V48H+e67X/rokqXcmmSKJiJhMlVbxzYND1l94+PW8Ko1/AZKADl3zjjV0W6eeeWYsX/jJuHOc21G6113Sw/U1DBzbDZoB3/1BI8kuYkyoxzBDntQ6ereRTQtxRWFFkJRcAIIABIEB7xKTLAZifSbieRY5tSZx4yJyfNiddV6bWjkuNF66hH7ogXvYdyu0Ks2oBenrDNRu0JZ6XKhsnxN5tTpR43JqXaxpvpGomrJa1HFUEItsapiLZIkN+v3VTBuV+GFWEmH3FB3s5XJhNkcfyW1LJOapkoNQ6G6keWCwYaZUi1LN6bDvSSTCVuZTNhKpSfNaGzQSqdfM/CfUdJIjfVbqKomad/AAWoYKpsXbMCy7MM2W86f0QX/u3eMmZz33u8Q5jTezrhdRdrwaCtfUtSC7fZcQC95CEMIkcDbjelwV+rgkZ9CjpWQLHmpoib08Yk2xuMpYYPBeiSKr5NGznJUQDQtpY+Pn5Ub628FCDPYbs+FDMOnjx3/lTy38Q4kS17IYPZS82hqWSaE8HAs82LEtqD5ftuC+fdhm82fOX3mcSuVnqKWZTAeTy52OvNSR479wkomx7mC/Caprmajc93qz0s1VTck9x/8T4jxo29aXf0lSA/HuwEA3RBBRAklYq49FDk1ts9Ujayz3Nco5dpCymT6dS98jGfu8/Ji9pFw1Aqn0iRFLwzCIQCQYSC+FtM8xCC2ZFXBLc6QvYKTWDsllJi6pSQGU90AgIdf+1stGQQAACAASURBVH16GWXPhYjLt30y/E7BBeJg1ojqS3Fh8p4Bf6VmtG83kN2WAwVOhghhI5oY1vtHjrEBXwVkGAFccr8iSXQjnpONiXCHGYkN8eWhxZkjJ38LLi3X/StATQ3TSAmgJ17RD4ZCuPTEcePgPfeJH8YY4FiMhK+F3LmIdIomO9uNM4tauJUnjuuHtt4lPrDtRfXx4WFzIDcg5B07Sve9lW15O2EPykVlq/JvGjoy8VK4J9E2fHxqj6/cWV++puDWru1DfwDXEMH9duBiiLE+MtkGCCHinKoNAABojE6egwhivrpkJXY784Wq4uUAAIDdjvzZzNPflHPBGEvzatY7t6z5MuOyB6lhqlYiPWlGEyPIJnpsS+beAyglWt/IMaGqaDlR1JRYX3EdVxBoUDsG9iaf3/cdfWj8NLWIBRFCanvfbqmh4nq+PNQCeVbW+0ZfSe449EOuNL9ZaqrZDFlGoLqRtRLpyav5JV4EJYTk/u39MyHOFjEhQojN89e4tt7wOcZlDyS3H/y+2t63hxJqzShGACCqlnrT+DCMZ0q0GMxKLQ1bAQXUiifHte6hw/ro1DnIMZJQVrgwve/ELwGEyLl55RcYrzME2T/RqJcCChiGc6xf8kmhpmQVm+ev5goDDdQkhtrZv58vzmtCouC0r1n0ISRyDiuZmZRb5rwLMpiHDOYAw3CQQRzEmAUYsxAjBkCISDIzDTBikCy6qWZkrVR62oqnxo2x6Q4zEh8yp2P9Zjg2aIxOnTdjybHLnt7b0A9swFfpuv26f+bLChdSi5hE0ZLmVKwfAAClpppNXFFek3Ky41k2x11q5nrLkV32Sc11W4zJSE/i+f3/pp7t2ka0GbU9X5L/jHPD8s8wXmfIvnrhB81wbFA5070dMpiTlzfdj+1yDqCAWIn0JNGvXup8OVRWMXVf/qrj+ywLuOefUx5d1MKtLC5hKo4e0fd+59vpLzoc0AUhQKEiXHLd9cLNOTkoODhg9Wga0O57t/Sxrk6z7ac/yXxncoKMyjKyb32X+IG2M0YrAOCRKx339jvF90SjZPrIYX2vZVGztpadG8xDBYtauBWpFE3ueFF9UtOBVlaGq/x+FLDboTOdpsnuLvNcMknjoSKmdMMm4Y6iIly27QX18fFxMurzodyaWjRn61bx/Sde0Q+CWXzNysqZap8f5+YGUL6hU+0Tn5L/4bln1Ue8XpQzZy67MFSESyGEEDOQYTnA3Xe/9NHVq/kNikKzmAFMYSFT4vUiP4AAPv+s+ahlvbo8XdWoGo+R6PFX9INPPK4+3DiHbR4atvpe3qU9e/Mt4j2yDV42ZRMAANwe6P3QR+TPyzZk//fvpP9xcoKM3nKreG9RMS6jFNJgHi6cGLdGurvMc5YFrDvfJb5flqEtHCaTfT1mB0YADw9b/X29ZueSZdzaTJqmHvuj+itCKGlZzK1asZJfb7dDp8Px+vIyAGbG5UuX8xMAAHr4kL4nHCaTS5dya9euEzaHinCpqlJFydLsiePGIZcLeeob2HnZDMnYbNBhmsA4fUo/lsmAdNM8tsXnw7nX3yBswRgeuhYvnre77QAAwDAQ37BBuPljn7B96Vyb8f/Ye8swO64zW3hD8eFzuk8zM6vVapDUYrYMMjt2mDMTxvnuZObmZnKTZyCZmUxwZsKxk9iOLaPIlixoMbVa3WpmhsNQsOH+kJzIYucqvk6+rH/9PFW1a+99umrX2u9a6/TwMOl/8CH1vaIIpdf2GTue264/4XRCN8YA1y0Sm5Ytk9aKIpBHRugZlwt6PvbXtr956UX9qV07zGeQYAp5eY7iD37I9tnODusMAKD78rYQgnDlKqlx42Z52/kO6/Q925RH7TbkaF4qrvJ4kE+cZdPn2q0Tfb2kKy8fF2+9U3koIxPnxOM8lpaOsy50We1l5UKNzQbtr+w2nj/cZu5taBSXK8r1rTau6u+tHvh2A1JVj7UQGNKHR4+xWGxO8Hry5MKCVhoOT+h9/Xvl7Kx67HRkAIzFG12HhsMTEEGsVZRtMhx2vzUzcwFmZ9UrJcWrsdudbU3PdF1xCgeUWlDAslZf+6C9YfGjUBRViLEUOdj2XcAYuVg5dPMfPI1GZ5DNliJlpte8XnFkTk53mOPjp9WK8i2Rg23f0QeH2jghOmCMcMoIoNTijFqcMgtQanFKzBsuTjjnTNfDAACg9/TuMaemzws+bwG22/16T+8eVFf7gODzFr6eunUrY38lkCzbkSzZOOeMRmMzgtOZbk1On8d2u/8N1UGcc26YcaSqHsey5g8l+wdeo6HQOEBIkLIz67HblQkYo6I/tRQitOdG/hEQI5GbVsKamj7PLZJUS0vWY4fdT2Oxi6SYZSWxTfNChEVwWQzx67cBAOhBsvyNZHfPTq2mapuQmlJsb2l6P7bZUqAkqskLPbtIKDQGGGcQCxKACJFAcERI8RV6tm7+GkBIgILwxKX49tsOQRVtGasK7zXD+sLCOXgIgItSLXeFf0lsIjIArti937Ra2xQMs6DLiVyrl2urAQDQMLmBEEB2G7L3D5p9AIAdN2oTCUgo3ZL/QHZz+npGOSVJEgsMhDsFVdCg8DtPpzcAQggFGStYQjISkIgwFAAAACKAEEaYUU4Rvnju6/HojDHKKSeMXfqbcsoZYFhCEhaRbMatCLWuLw36C/6CPxTIrvloODpjTc/30lBkkoYiU3JRbgsQBAlcRvBwi+hQkR2AcwA44Miu+S75WPxZwefD/pwcXPDZz9u/qihQrVskNmVn4/zpKTo+NEDflL6eUE4CATa/fqNwj8eDfJYFzK13Kg/9/KeJ74yO0MFAgP1fVxy93YBFJDrStJy0Ku9ib6Gz0oxbUc4BEGSs5DanrU+r8jYOHZh8EbxNCR5+SR6D3Y5M9wMbvgohRHrvSJuYnlpGFkKjJBidVMryWuWi7GbOORdSvQXgYrLMba9gxS57umNDy8exy57OTCtpTc51GwNjx+SCrAb7qiXvN0enO6Akas6Nyz5ljk6eFdJTy2yN1Q8kz/XuCD2392tk/vcJSZwxZl/ZEOIAQMA5X/jx9o+Yo1PtgteVjVTZEZk4cMGxrvmjyKZ60EX50q2P2aXNO4ixqNaWbnbfu/bvxey0ajIbGHSsb/lrIc1XHN17/Ievy4G4RfTbXMGjQAgRBwBE9x77QezA6Z9CSVC1hsptcl7moljb2V/Gj3U8aWupeQhwwLDLkQ5V5YYfnm/sIGDcsnSIIJJy0mulnPTa398ARXJxbgsgxDAGx0+ImanlgAPOLWIgRXZe9D0yY5wkTW6YMRZPhlg8GaDxRIDFEgssmlig0cQcjcTmWEIPc0J0YBGDW9TglpXkFjFudR36Vs4DFLDoeWjTB+SCrAbOOCNzgUG9e2g/UmWnc33LX3FGCQ1FJx1rmj7CdCMGVcWpLa7cxnUjGnxixxeMwbFjl6/TmW7GuGHGscOWGnx6998mTl3YDgUs21pqH47uaPtX27K6R8Xs9Booi9ofujbXNKR95auOT5aVCVWzM3T6wYeU9+3cYTzz26eSPx0cJL3l5ULNOx7TPpyegbMzM1HuyDDtf+kF/cl4nMdKSoWqRJLHe3rI+apqsf4DH5I+43BCFyHcuuse5RFVgy8kb2D2mojz2O6d+vZUP07PyRHKM7NwjtuNfDPTbHJinA6v3yjfnZUt5Ltc0BOL8Yiu8+Tuncb2nh7SWVSMy+7YqjzgsEPn7p369s5OcrakVKi02aB9eppN1NaJS4qKhQoAwOEr2z1wwNjT0WGd6u8jF2rrxMYHH9bejxBEe3brz+/ZbTwHwUWjZMYAu/se9R0IA/zd78S/3tdLuijjVJagkp2D8202aD91yjpMyBs3OCgFxDCBvmq1vDm/QCg5fdI8rNmQfdu96jttduiQJCDdaE6WLZPX5ufj4j27jeeWLZfWtq6UN0xN0rGnn0z+dHaWTfV0Wx2PPqZ9pLpGbBgcJD2v7jFemJmhk4sbpKXLlklr29utE7/8eeL7bjfy+v0449lnkr8cHCQ9Dz6kvq+8Qqx9bZ+xY9UqaZMkgeuuVWJRFkkkePzubco7NA3aLAtYbYeMV3/wfeufImEetCxgccC5LEG5daW84aMfs32ptlZcQiggI8OknxBGcnJwwfw8m2lYIi7LzcNFAIC+m/0e3w59LyjApR/9mO1LTid0lZUJ1aIIpD27jedGR+jA1BQd33qn8tDyVmldbp5Q6HJCT3u7dfzQQWOPIECxbpHYOD5BR2Zm2MTGzfK9DUukZYoC1YwMnL1+g3yXKML+yzfEBAEIrSvk9ZwDfv48OX38qHmgslpY5HJDz/g4HTnXbp0oKBBKH3un9lG3B/oScR7r7ycXTIMbogiklqXSaq8PpToc0OVLwX5GOdU0aJf/f0HwaKqHm0ZMysqoE1NSiiDGEjONuOD0ZCilxWs5pZbg8xVipyMd3KCUnTNOAUSYmWaCBIKjYpq/XKuuuhtJogYxEq6SC3HOOaEmtttTaSQ6lTjX8aycn7/UGB078btjL8oybvpA1gcGD9BQeMwYGT3ODCMmZaRX60NDbVjTvEhTPYLHnXPJ5PfWtNPX7CBnZH5hkBtmjFNqqlUVWyGEkASDI9wwY8nunl1yTvbimCLfctnXlYCK7AQYSyQQHGaGGUt2XXhJ8HkLtdrqe5Ei/T5qmTNqTk+fxw57mt7b9yqLxeYuStQExZqb72NJPST6U8u0qoqtsZOnHwc3qHjATmeGtRAYEny+QsfSpg/KWVn1xvjEmURH53Yajc5KWZn1N3spsotl2QcBAAeRJGmi31+mFBeudCxt/pBWWXGHNTvXQ0LhiWRf/z5zcrKdU2rZG+ofVSvKN7vWrfmiMTxyDFzB2t4uQIwEySn7SNyMQHjRYQWJSGEmNYxA4qokrGWNyvLufqvb58He3GwhTxKhJApQRBggrwf73BdZ7RsSPIpL9qZW+BoY4WS2c+F4aCTSk1jQpzll1EqQa+psS9dn3efJc5QCwAG1uAkYZ7JDdNn9apaVIHHJLjqZxczoTGJc9cipZoJEIQRIVAWbEbWCnHHOOWCSJjgku+hECOAzTw5+DwBw5naM41/wF1wOZNe8ot9XZM0FBrlpJWkgPA4QwhBfEZNMqQUYIyQQGoUClqEs2QFGN9ws+FOERbgpiEAsLROr+3pJZ1W1UB+P81gwwBdGR+ngm7kWQhBpGrSPjZKhukViUzTKwo1NcmtNrbgkFOKBvj5y5WbJnzwUp+QpvyPvMVe2vRAJSCxanXVP9hL/agghtHSSiEzEBxm79SqotxrcNBPMtJJQxFLs0JlfWGPT58zxmfMQIUGpKlqnlBesIvOhkfCL+//Rc/+Gr16SAKngik2T2wG5JG+5nJ+5GEIIaSIZih04+SPstPk996//qpDizpPyMhdjpy01fqzjSZbUI86Nyz5p9I60hbbv/SpZCI1feT2IoAARRNbk3AW9s/8VKSejzv3Ahn+IHzrzczIfGrUtq3sUu+xp2OvKgoIgcUJu6psIAACAUAsKWMRue5rWVP0AFAXFGBg7hl2OdKW8YJU5NHHyjcffxs0KBCFESOCcc/3C0P7oq8d+IOVm1Nla699Fg5GJ4K93fpEzRm2NVfepdWV3QAHLnHMm+Fw5AIBb8w9jjLLExRAHGksEjP7RI5xQk1tEF1LceSyamI+f7HzWHJo44X33Xd8R/d7CwM9f+AQJhMdZ0ojypBFhhhG7vHL6j4K3cB7ENF+xWlW8DoqCwim1kud6d5njM53u+zd8Vasr3WJOzfVgm+o2hqfO6J39rzg3LfsUYJzN/+L5T+h9I1cREQACCAQk0oQeTJzsepYTajq3tH4OAACirx77vlyev1LKzajDTrsfaYoTAPCmZZ6lZUJ181JpdW+P1QkAgIVFQvmKlXyD14tSV62RtmzapNwbjfFIZ4d16tABtscwuJ6SitLXrZfvdDqRe+dO/VnT5EZOLi4YGaEDJ4+bhxxO6Lr/fvXdixZJTQCA167X9kKAzUWjPJxIkHiKD6WJApBOnbTa7HbouPNu5WFKAT3cZuzt7SHnZRkqmVk4d8066Y7lK6T1kgSkva8YL13oImfdHuSrqhLq+/tJ14VOq33VGnnz8lZp/arV8mZwDYJncID8blOifrEU5hzw57YnnzhzxjrW3CytnJ9jMxyw8VWr5c0ZmSjn7Bnr6NEjxmtXJBNdl6zACGBJAnJFpVjX30+6DBPoDY3CcoyBYJrcMIzr+1xlZuKcb/6b6yMIQeT1oVTNBu1jo3RobJQMen3I39AoLm9tlddnZODsZJInzp62jo2P02G3G/o0FdpT/ShdFIA4NUXHKiqE2sNtxquTk3T0gYfU98oyVP7hK5FPe7wodc1a+Q5CwHXfOYkEj/d0kw4EIfztU8mfnT1jHdN1fs37drnQ9jVr5DtaV0obvvj58PujER42TW4cOWzuyy8Qij/3BfvXamrEhhuN2dul71iA+LF3amvz8nFxZ6d1OjMT51ZVi/WGzpODg7S3uESoWL1G3nKu3Txx5LC57/UNqbw8XNTUJK0IhVnw1T3mC2438rrc0HviuHnw7BnreGOTuKJ1hbzh+ef0XwEAfvcewhgINbXiktkZNmXToL1hibhsdIQOPvN08ud2O3RmZeHcjZvke0ZH6OB//6f+zQsXyLmJcToSibIQo4Clp6OsklKhsqZWbFi1Wt5SWyc2WhYwbyZBuxx/sgQPVjWP6E8ts9VWb7PmFvqt6ekuACFguh6Ot3f8Vq0o2+xobnqfnJvbBAA4f73riP7UUgAB4IYZty+qvR+pqjvZ1fUit4jhWNbyYZZ8o5cDv5iipQs+b6GttuY+GovNRtuO/MCam++HoqQCCBG4KAu7qU6dBIOj5vTMBc4YjZ08/UvB484VM9KrAYRQHxg6aKtf9DAJhsYEp/NZGovN3SwRBWuaByCEL5docc65nJU5gd3OTK2u9oFEZ9eLgtuVJWVnL7ZmZ3v0vv69rvXr/j8xNbUEAHDqRteHgiABxsiV94Fk2YFV1Q3s2B87eepxKTOj1rlqxaeRpnmgLP+O4OGMczE1pd0cGz8p5+Y0Yacz01pYGDQnJs9ChAQpPb2aG0ZMyslptDcteQ+S5f9kxtW+I1jT3LaG+mZs07xIyqgFlFmRg23fIeHIpJKftxS7nJmiP7U03n7u6RuZxF6OSzHxZyDGHSQYGvNuu/Of7Q31j+qDw200Epliuh7GLleWNTffSxOnA7a62vvlwvxlEKHem83LHwJOGdHnE5OSU/Flbyh5R/5dldRZ4MUzx0Z3kqR1Fdnyg5+Fv2+Y3PCnCH5VgWokxqKMAgoRQKk+nBqKsOBXv3mTRiGAEAFEDJoYOzK1i5hUf13i+Ho61pUoXpV5t5aipPe+Mv60HjGDgohlxSV5zZgVCU8mRvJa/OujM8mx8ER8CIlYSgb0ucBorFd1yykIQYwEKGAJyapL8okqtjnT1BybT067DUP4F/wFVwHJkh2IgoxUxcnC0WkWTwQAY+SiN9LvYc0u9MdPdDwFMZagIjsSx8/9hsWTN5XY/alhaJD2JpM8brdD5/w8na2oFBe1HTT21C0Sm2rrxCaE4P7rGaxfCYcDuqqqxXpVg1pxsVBOKKdzs2x6273qY/EEj3V1klsy3f5TArWYFZtPTmopSjoAAESm4iMIQyyqgp1RTkaPz+zVQ8a1k4DeBuAmSZK5wCAUBEk/37+Hm1ZCKc1fodaVbgYAAP3C0GvW5OwFiLEYP9n5jLak6j4pO60GANB2u+9FKc1dBiVJ45xzKIqKc3PrZ5GmuJEqO8zhydNMN2KRlw/+C1kIjfret+37LJ4MhF/Y/41rkTsXAQEAEEJFcsglecvd9679exqJz3JCTMfGpZ/AHmcmAADIhdnNSFNcAIDrmsdeDk6IARASkCI7Q0/v+TJSZIfWUHGPXJa/InzozC9iB0/99IozbptfESfU4oaV4KaVoKHIpOvu1f9DSPUWJE9feJ4EwuP2NY0fVioKVwtuRwYAAACMBMgYEVI9BbfchkVMtbLwJAmEx7lpJZJnul8U0n3FcnHuMuywp1hj0x1YU932lQ3vwy57OpQlG9IUt9nes/N29fOW7vMtnAcxy1+JUy7aNXDKLG1xxd1aU/UD2G7zkbnAENeNSPRE59PxYx1Pubet+TL2unKDT7z8WaN//JphGBcBIRSwLGaklmlN1Q9KOem1kR2HvmlvrX+PXJDVAAAAQoo7T8hIKQNXBr3cBJIEpc98zr7N4biYjjU2RocHB4zuvj7SZehcv+de9bHdu/Ttzzyt/3x8nA5HIixECCCqBrWCfFzy6c/Zv9K6Qlrfdsh8lTHARAGI8/Ns9sB+a9eiRVJzdY3QcOndcM0x7e6y2u126GxsklpnZ+jUj/478a9V1WJ9YZFYBiFAbYeMXf/r76OfmpykYxgDbLdDZ16+UPTxT9m/vHixuDQ/XyiurROX2OzQMTpCB1xzyFtcjCpycnCBIEChplZscDiQMxpl192UJoRTw+B6ZhbObW6RVnVfIOckCUgIAYQwwAhBFAiw+RuRIVdClKBktyFHV6d1dvdO4zkAAfjZTxL/MbtVnnpd6nWt8woLhZJv/JPr25oGHf/2rehXTp202hwO6ExLx1nZ2Ti/tk5szMsTilJTUfrQEOn7xtejX+w6T86EQixACKdeL/p1T7d6btv96rsys3DuU08mf1JUJJS/5722j7efNY+3n7VOFBULFXX1YpPdBh2Wxa9LVo+O0oHPfzb8vsACm7uZQbJpcmNwkPRs2CTf8+BD6vsyMnDOyAgdGBwg3a++YrzIGGDlFUKtqsLnkkl+zW+Et0vfXU7o3rRZ3mZZwBAwFM93kNORCAud77BOFRYKpRkZKPtb/xL9+/2vmTtnZuhEIs5jAADgcEJ3c4u06tOfsX+leam06uhh8zVRhBLnAAwPkb7xMTrc2CS1pvpRBriM4EEYYrcH+hQFqokEjyUTPJ6WjrMCATY3PkaHl6+Q1/f3k+5vfC36+aEh2neN/6URAMCIKMJXXnhO//U73ql9pKVFWh2N8Fsme/9kCR6kqR5revZCtO3oD5lhxADnjMbj8wBCKLhdOcbQcJtSWNiqlpduRKr6NEsmr3oQYJvN573rjveK/tQypKkec2zijDEyelzKzV4i5+Y2IlVxs+RVcdSME2IgUVIhxqI5MdmO3a4c55qVn01e6NkFEcIQY+FWdOoskQwZQ8OHscedI6b4ipTSkvXm+MRpc3T8lJSRXqUU5i93rl7xaaWkeK3e179Xzss9ZU1OdVxZ0YMkURUzMqq82+76KDfNBMT4c5f7w9BobJbMBwYFhz3N0dz43sS589sjBw7+h5SeVkGjsRlrdrbbsbT5g1JmhmHNzHa/waD5EgS3K8uxfOl95ujocXBFghNSZAdASLCmpjoApSb2+QqZroeRojiRrDguP5YEgiPxs+1Pu9av/Rs2NX0eUGoq+bktUJJt1uxsNzfNuFpdead7/ZovIU3zyjnZz5L5hX5mWUmkyE4xNbXEuXrlFqW4aDUNhyexy5mVuNCzm0ajM4LHk2NOTXWYZ9qfdG9a/2USCA6/WQkVp5SIKSnt3CK6OTHZrg8NtSFRVKAk2Yyh4bZkPB6Q8nKb1PKyTaLfX36JzLvtBA81SDLcN3/WWeitRpKgyh7VzyxqiHbZfa0I+fEpMgEAAF/8uPf9I2PW8O79id3BEA1JIhS3rrdt7Rs0e8FNIorNmBXWw2Yga0na6oYP1fwdhABxxikAAM6eXzgGAPjBledADLHqlnyppa46ZjETAAiQAMXJswuHjbgVzkx6WyydJCBGgqhiWxLCedUtpUQm48Oh8fiAO8tWiEQkJQLGLDWZUbEl51FBEW5oVPcX/AV/OCBk8WTImprtYbHEHHY7MgDn/MrnNVkIjUGM/+niKQBeMvR821Zi/KHo7bHOh4I8wDnj6Rk42zK5oesgOT/PZj7yUdvnJyfoCADgppU8GEP00CPqHaVlQlUsyiMDCRq3LG7OzjLU3CKtem2fsWN6il7nQ/xPF3rEDGIJ/2K4bXpnZl3KsshUfMRKkBjggMcX9BkzZobYLfgT/L8Ct4hhTcx2qfUVdymVRWulnLRqltDDieMdTwOMRbWmZKPrzpVfNEem2uMnO59Ra0u3yKX5yyGCh/ktRrXeCiDGgv/TjxUCjERukWTstRP/LRflNAupnnwyHxqJ7Dj0r+b4TAdSZIfWWHW/mJ1WHX5h/z8awxOnr9s3Si3OGJGy06rdD2z4B6TIdhpJzHke3Ph1pKkuGo5NQ587Ty7KbhS8zixwqwSPRXTAOZcKshpoPBmQstKquGHGg0+8/DljaPIUJ8SConC5VOO2eRZxQk2m6xEoCoqtpfYRACHUOwdeRU5bqpLmLZaLc5qRpniS5/tfIQuhUceaxg9BSVQFrzvnzbRjjk63GwPjx7WGinucW1d+IfLywW/ScHwWilgGHHAx218lF+e0YIc9FcmSXWusvh+7HPtoOHpVdfEfC2/VPEAEoXPD0iykKW7OOEue6nqeWSRpb61/NzfMePzIuV/Fj7b/GqqKSynOWapWF280+kePJM50v3jddwbnDFjEQJridt29+m+xy55GZgODzk3LPiXmZtTSUHQaKrJT8Llz5bzMeojRqVv1iQIAgIpKsW5Jo9T6+C8SP5iaomNr18t3Zmbh3FQ/yigqEsqfeDzxwx//KPFvsehVH/gRhODpx3+R/OG3/t31c5sG7cPDtL+r0zpjWdysrhEXuz3QW1golF6KWb+mOXl1jdiwd6/x0rPPJH+ZlYlzN2+R7+MccIwgNk1uHD9mHRwdJa8nZhJw8X9vrm6R9JXvfM/9ZE2duOSnP058+8xp80j9YnHp+o3y3YQAa2qKjqf6Ubo/DWWkpaMscAPVASWAGDpPNjWJK57brj9x/Jh50ONB8Ok9fQAAIABJREFU3ne9R/vrpkapFQAAEALXtB64HiQRSDYbdKRn4KwljeLyrk5y1l2EyysrxToIIUwk+NUb0hiiBx9WVzUsEZf9zRcjHzpy2NxbUSHWNTZJrWXlQg3GAO9/zdgZjbBQRgbO+Zd/jn35cJu5l1wm9wkE2ILTiX6YnSsUtC6X1nedt8585GO2LwIIQCLJE14fSp2YoCOqCjXd4LplgesSPIbODXAL73QAAGAMsESCJygBRFGg1nbIfKWvl3R1dlpnZmfY1NQkHauuERfb7cgJruG5+XbpO0IQPfSwug0LUPzXb8b+p8sFPWvWylsdDuisqBBqfT7s//svRz6+f7+xk17tVTony/CF+nqpedNm+V5Ng7buLtLe3WN1uD3Im5mJc51O5M7PF4oRgidfJ2o449zQeTIjA2ZXVgqLTpwwDykKUPLzcXFxiVDRslRa/aP/in/rOuTO72BZ3AIA9Kek4H9+4bnkr2dn6fWSBa/Cny7Bo6pu7HHnQFV183h8QfB68pTiwlViSkoxELAU2XfgW8me3j2OlqYP2BcvegeS5ccvSXIAxFgQU1NLPXdu+aStftFDNBSeSFzo3sEtKwlVxZU4d/7ZREfn887VKz/F9GtLtDglZuzU6Sc4IYZaWrw22dW9Qx8cOmRfsvgxIAjqpQ//Gz6QOaWWnJuzz7V65adIMDQWee3AtwCEGNs0HxQFRe8f3I8UxSX6vAVS5opPAc6ZNTvb43/3o3EoCDIzrSSLx+dtDYs7WSIZ4pQSMTOzDiD0hhIuGo/PJ7ouvORat+ZL0bYjP9AHBg9guz2VJfUwjURnAKGmWl1xl5SZUWsMDrdpFeWv0kRiAVBKoCDIYkZ6lXfb3RuVwoLWZHfPLigIZ98Qfy4rDgAhMiam2gWvJ48mEoHY8ZM/d65e+WmkyM4r+kwEr+cptbrqLrWyfEuyp2+PMTjURuPxeSkjvVrMyqwzx8ZPY6cj3bVm5Wds1ZV3k0hkEjBOIcYS0lSP6PeXcUIMSxSUxJn2J2kyGRQ8njxjbOyUNTl1zrFs6Ue4YcSs6ZnfERpSZkaVUliwgiwEhsyZ2W4Wj89z00xcS8Yl52Y3QFFQBK83z7Wy9RNMNyI0Gp2VMjNqoCTZAAQIIoQhwm/q5fBmwAgjgioetqJGUPKofmMhMWWGk/Ox0VAPuEZObXGBVLxpjbZpZYvakOrDqel+nPGJD7rZ337Gm1JWLJVZ5OYpWpxxlgzqs3rYWOCUkWTEDCIEMSXMlJ2S56KnzhsXGYHhaC+WkGzzKn7VLaUQg+lYQrLilDwQQezM0PI4A2z2QujMfF+4w0ySWH5L2gZhGd60MBjpEhVBSwSNeckmOCbbF47MD0Y6gyPR3ts5ln/BX/A6OKUWdthSsNuZCTEWoSTaLkYIX/0c+HMkdK7EwADtGR8nwydPsEO1dWLjkSPma14vSt25w3jm/R/QPv2Fv7F/o7JK/PrAAOkmFrCuNFOECEKXC3q23qls/OCHbJ+lFFDT5IZpcH10lA4uaUSt4RAL7NtrvBy/tCP25wZqUtPu17hkExxGxAyGRmP9f6if3VsNbhHdHJ8571jX/FHnxqWfiO478Z/myORZdVH5VikvYxFP6OH4kfZf6b0jbWRmod+amDmvVhaujR9p/xUA4A9O97kSUBJVKIoqhBBaMwsDyfael4UUTx6LJ0PJM90vIk1125fXvxtgJGhLqu7juhlLnuvdcUMZ0EW/Fc4toscPn30cCoKslOWv4ADwxNnul7DbmSl4ndnIpnqV8oJVAIBbqjDjFjEAB0ytKl6vlOYt13tH2oy+0SNKReEaranmodS/etivLa547nf+jwjdvnUCIQZLGBEAIWIJPRw/eu5X1uTsBcHnzhX83kLstKfRhdAI4JwpZfmtUBBkACFCTlvqm2mGxhJB912rT6i1JZuSZ3teih08/RPOGBX93iJ1UflWTpkVfeXY962ZhX7b0rpHtMUVdztWLXk/tms/oLHEVea3fwy8ZfOAkADVi4EtNBafT7T3vIRdjnTAOUt2Du6lscSCtqTqXuxyZIjZadVQVZx658ArNBS9rkn0xZB3wCDn1OgbPWxNz/cpJXnLhDRfsdE73EYj8Tnssqchu+ZTygtWx491PAVuIaQBAABUFaof+yv7nSmpKN3phG63R/TueEl/eniI9jU1Sysrq8RFK1fJG0vLhKrvfM998VYY4BcrWyD+3g/dyOtFKXY7dKxZJ98xM8Mmm5ullRcuWOcWFthMOMSCObm4wOGATnAdgmdwkPbseFF/6oGH1Pc5ndDdftY6UVomVAEIICGAxGMsijHElL7xY7q3x+rcvj35+LZtyqO7d+nbc3Nx4fJWed3EGBuORFi4bpHYKEtQ8XpRano6zgI32LQkFFi6zpMjI3Sg7ZD56rr18p1NzdJKCAGcnqYTefm42GZD9tctEG4FWICCrACFWNyyTGCqGrR5PSiloEAojcdZ9FoVPBgDoa5ObDxy2Nx39rR5rLZOXJKbi4smJsgoB5zn5wslus6TTS3SqiceT/zw4H5jN7lGuEEkwiKNTdITH/qI7XNZ2Th/5079mU2blXs//0XH10yDG/E4j8oyVOx25CTWzdf7r0NRoOJPwxnV1eLi0jJcnZ0t5AsCECIRFv74J+3Byipx0dQ0nejvI10T43RkcJD0EAtYggjEyQk6Ur9YXKpq107IfLv03Z+GMjbfodwPAQBFRbg8keDxH/4g/k+hIFt4x2PaRwoKhdJ3vlv92H0PKO+67H+CYQGIEEDwH991iwWFQmlWNs7btFm+NxDg8+Pj4nD3BXLONLm+sMBmi4qF8kvyKQoAAIQA61w7OVleLtba7MixYqW8kRBgTU7SsdpacYnDAZ05ObjA4YQucAseffPzdBYAMHur8wrAnzDBAyBELJkMWVNT55lhRCHGIlIVF4AIJS907+CUmkiRnUjTvO5N67+Mnc50tbhoH6fUdDQ31lyqWKkFCOFk/+BrNBabo5HoVLK7ZxeNxeelrMw6iLFEY/Er/Xs4YJRASbK5t2z8ijU108l0PaKWla4HEEIoCgqSJA0iiMEt6NTNqenznFGqFBas0EdGjghebz4AAIp+f6lcWLAi2XXhZX1oqM1WW7ONU2rRUHgcaaoHYkE2Bnv3mNMz562Z2V5st/nknOwGcI30Lk4pwTbbk3J+3jIpK6MOypJdLSpclRwY3M8pNRPdPbuTff37nKtaP6nV1dwnFxa0Ch5XDkAI00h02pyaOm+OjZ+0Zmd71JKStWJqShEA4Hd+CkiWHdhuS3E0N74v3n7uaRqf71dLitdiTfUg7epELBoMjUb27f+W775t/06CoTGAsahVlt+BHQ4/CQSGsaZ5AQecLASGAcYCFCUNYiSY45Nn9aHhw1J6WiVNJBasqalOMS2tXMrMqKWh8AQSRVUpLVmnlpduSPb27zUvM8hWCvKXe+7c8nXAOaPhyGSyt+8Vvbd/n5ji66ThyASzLAMAAJCqOH33bdtsjIwdD7748t+KqaklUkZ6DfZejHcnwfA4lCQbJ9QggcDwrZhp/6EgSSsBETyNBCQCAKFol9zZG0sfmzs5/gq4Qk+flYGz8nPE/EiMRRx25KgokSsAAAAiAKdmyNT5bqPjZu1Rk5r+at8xhJFgJa04s7iJJSRzAIARMQP8Gn09+cu+bwkSUrCEZdUl+ZAARUY5YZQT1SV56+4v/DBEAEMEMZax4nCI7pGjs3viC/oso8yypagZ/jL3Ik45sfvVzAsvj/1Kj5hvqRQGYiyI6Sml2O3MBJwzKAqKNRccIlOz3VASVSHVW4jdzgyIkciSRoQEQmM0GBnnlN6QwMUuR5qUk1FLo/F5MhcYZIlrR3ff8n0ihLDLnobdzizktKdCACCNxufIfHCExRLzN5MKQoQQ9rlzWTg2w0wzCUVBEjyuLBIIjXFCieB2puMUTwHSFBcg1DDHpjpo9Krn3x8FEGNB8LlzsdeVAyVRZfFkkMwHh1k0flNp6psCY4SGo9NG7/BBZFM9UnZ6DZQl25WkKXbaU6WcjDqoSHYAIGDR+Lw5PH6SmTf2Q/u/naO3GpEwC546abVJElQCATaPEUSTk3QUYyB8/7vxb3zww7bPf+Mfnf/5yh7jhYlxOrxsuTwZWGCzhHAiK1Bdu1bO2rJVuX/tOnmrywW9A/3kwuwsmy4qFipOnbIOMwbo5CQdO33SvMqw8s8JCEPBnqZlp5S4a8LjsQHwR4oRv93glBK1qqjvYoQ050iVXd533fVtMhcYiu458h0aiEzgVHe+UpbXmtSNaOJk57Ped975b0p5/gqI0W/eTFUBFAVJ8LnzaCg6xfQrYsk559wiOuecIZvqcd2z9stSfuZiKAqK1lT9ICnIWpLs6Nst52Q3Cj5XNpkNDNJI7IaLXYiRCBEUAEJYqSxaq5TmLYeSZKOR2Ax2OzOFVE8+QEgAEEKlsmgtxPi7t0Lqvl45wgwzbg5NnDRHps6Q2cAASyRDSmXxWqWicI05OHHykhk1gAKWwG2q4uGEGDQcnQaMURZLLECMRduyRe+EoiCzSHwudvjs43Q+NCLlZtRxQkxzYqZTystchN8kwQMAAHrfSJsjoYe4aSWhKjvtjdX325bWvcOanu9Lnu15iUbj8xBCaA6On9DqSrc4t7R+DjlUn5ST/hNraq6HkzdPkAspnlwpJ63GHJk6SwLhGyYWvoXzwDmhBqeMQEGQ7CsWv0dM8xUDzrlSmrdcyvJXJDt6dwEIsVyc08xNK0lmA4M3XB8giKCIZQAgFDNSSrUllfdijzOLJ40IlCSbmKF5L3ldAbk0fzl22f3g1gkebXGDuDQnB+evXCVvPHvWOr6oXmxuaZFWiRKU289ax2em6eTMDJ1gDDCbhuzRKAtX1Yj1hHDidCJvSYlQ2dVJ2pNJHi8owKXZ2WKBLwX5jx8zD7hcyJOaitJvFAlumtwcGaGDL7+kP3X3Pco7NmxS7pmeouPBIFvIz8NFS5fLa3ftNJ4BV3ywJpM8uahefGHtWnnrxk3ytqeeTP7kFz+Lf2/jZmVbeYVQc/iQ+WpuPi5ubpFW+f0o/UbjQAgnus6TdYvEpnc8qn54aIj2vvB88jfZOTi/qxOeffgR7QM2G3S8mV8EggAJAhTbDpmvPv1U8qeL6sXmRWvFZpcbesJhENSvQfDIClTyCnDxS8/rv5maYuPRKA/H4zyWlYXzYjEeffrJ5E/XrpfvVFWo7XxZ/61pXl9e1d9HLug6T7YslVZtf1Z/PJkA8Z5u0mEY3IhEeCgnB+dvu1d5J6U3l50hBGFmFsp97/ttDze3SKsAAMBuh05FgerRI+a+eJzH/H6UkZaGMtPTcda69fJdx49ZB0rLhBqEAHzqN8mfzMywSbcH+a6X7PR26XtWJs4tLRWq3B7ok2Wgdl8g7StXSZtUBWqiCMTTp6wjw0O0NxJhYYQgUlWoJRI83tgkrhgbpYNNzdJKzQbtZ89YxxECqKRUqMzKlvJcLuTuPG+dsdmgIyMT5UD4RoJn10792TvuVB6MRFhox0v6b02LGxUVYt3BA8ZujOUtGzcp2wb6SXdaOn58doZN3+6NoT9ZgofFEwsAQQwFUVays+qxzeYjgcAwCYRGxTR/uVpZsRXbbanhva/9s1JU0Opc1fpJx9LmDwHGCLLbUgAAwJqb79X7B/YnB4YOkoWFQbKwMIgdjnSloGC5WlayAQAAzPGJK81eIYAXY8djx0/+DCIsaFUVd1nzCwM0EpmCkmSDiuwECN3S2HLL0u2LF73s2brlf8sFeS2R/Yf+ncbjAa2qcitZWBgkgcAwp8wyp6Y7jeGRo1JWZh3gACS6e3Yx04wxw4ip5WUbAWfMGBs/JWVl1F6Lkabx+IKcm/PvKQ8/8EMpK6vempw6h2TFyU0zwRDCSBJtUJLtye6e3TQcnrC3NH0g2XnhpcTZc09DRXaIqSklev/ga7a62vtFf2oZeAPBI9mhIMgkFB5HmuZ1rWz9hD44dIjpRhSp2lUED+ecI1naEzl0+PvONSs/Q4OhscjBtu+wRDKoFBWuRAV5S43x8dMsFp8TvN58fXDwoDUz2400zacPDh5MtJ/7rVJctMrRuvyvsKZ5rfn5Pq6ZCRIIDCObLcWaXxiMHjn6X5ebJkKMRSTLdgAhRLJsF9P8FfbGhneZk9PnycLCoHfrlknOGU154L4iKSe7Ibz3tX+2Ny55t1ZZfgenzNQHBw+Zc/N9AEJkr668kzNG9aHhw3+sDzaIINTSHHlpLXmVokP2yG4lBSui3ZHnLg92zVyl6x4Ytvr3H0nsz0wTMu02ZI/FWUxTkWqa3OwftvpPnjVOXqudKzF7fuEEEtAZ2Sl5IABQD5sLEF2Ual2rJN+MWzHw+12cNyzIildn3gUAALJDdBWvybzn+E96/nG2O3SGkjeSkN48R4e/3F0/1xc+ZyVJjFrs1swubxOw25GpNdc9QhfCY3JxTotSUbzOnJg5H3lx79fF7IwaZFe9SFVcyKb5pKz0Kr17YF+ys+8Vwefup+Ho1LUWshAhpDXVrvG9a9v3SCA0ao5Nd3gfvWuBRuKz8aNnHqeB8BjASESq4pJyMmqkguwmGgiPxU90PMUvkY2/uxbGguD3FjrWLd0o5WQskorzlgkpnny6EByxpuZ6AATAHBw/IRfn7TVHJ8/w65EQECK1qmSDXJK33PvoXSHvO+/RsNPuDz/3yv9yrGpq8Dx61wYxPaWUzAdHkKo4aTg6rVaX/kTvGTrALcuACEGoSA4pN3ORlJOxCDnt/tcTaDihJosnA+bE9HlzaPwEiycCtyLhgBgLYlZapXvb+ofk0vxWpCou7HKkmxMzXWR2oY9Mz/dJmf6XrNnAwM3klhBCeImQKxAz/BWcMSL6vUVQFFVrdmFA7xp4VS7OxZwywgwjxg0jqscTAaWqZOOVJstaY82DcmFuM0/qYbmiaC23iD7//SceAQD0X68ft2WO3mKYJreWNEo7vvA3jq9rGrR5vDBl9y7zubvvUR75yY8T3/7uf8T+9+o18pYPfMj2GZcLuhfm2dz8PJsxTWBoNmj3p6IMzQZt5zus05IEJxQFqunpOGvPHv05mw064nEeO3rE3D8yQq85bn8u4IxT2Sa43Ln20rxlGZszalMWIARIsotOK05iE2fnbrtnze0CmQ+NWtMLfVJBZoM7J73GmprrpsHIBDetJEskQ3ya9rG4HmSmlTD6x46RQGTCuWXF55GmegSvazsNx6ZvSnbbVJdjTdO7bC21D8cOnf4FhPC/Ll/MMt2IOTcu261UFKzGbkcGwEiwRqfOCum+UnN48nRs/6kfK5WFa9WqorUQYxFACOE1Klkva8/tvn/DIoCxIPhcOSyeDMbazj5ujU2fo+HYjOD3Fgkp7ly5JG+ZUlm4VvB7C4WLHis3lS5crBzh3BgYOxr42fMfJ8HIhFyY3WRfsfg9YlZaVeTlg/8SP3buSXdW6sVNFlFUbpdIizPO7UvrBljSiIjZadU0Ep+Jt539hTE0cYrMBYeQKrtsLbUPWTML/ebYdIfWVP0AAAAiTfVAAYtvxvjYGps+R2YDQ0K6r1itKdlsb61/D7uYjBWUctPrAOcc2TSPXJq7HNk0L43G520ttY8olUVr9Y6+PWpNySvm8OQZltQvbWxcZ74ggEiWbEpl4ZqU92/7oFyWvzKy+8i3IcZ/dyPC7a2aB04oUUrz2sh8cFjwewvlotwWa3z6PCfU5IaZiOw6/O9QkWyuu1f/LZIlGyXEuFTBf+3uIoRsLbWLkSRqQBRkqTh3afJc705zaPwkmQ0OIpviEbPTqsjswoDWWP0AdmipYqa/EtxioIeqQVt+AS4BAMDMLJybnoGzBwdJz7O/Tf4iGGALx46a+2dn2aTNBh0tS6XV+QVCSUeHdSojC+cODpCejg5ysrAAlxICSHmlUJuZiXMlCUi5ubjQ41V8sgSURJLHbxjXzAFvapZWvP+D2qfLyoSaySk2lpKK0oIBNp9IongkzILhMLtm1cKFLtLe10e6HnhQfU9mFs4lBFijI3Tg7BnrWMMSafmSS+lFLjfyYgzR9SK6KQFE17mOMcRHj5j7UlJwmmUB8/nt+hPFxUL5Q4+ADygqVBUZqgAA41rXuAoQQAgvjutj79I+5nRB9769xks2O3TYbNCu61f70Pi8KFUUoDg5ScdKSoXK7BycH42wcF8f6Tp9mh+5Y6vywJ13KQ8dPmzunZ9nN5Q4xuM8er7DOn3HVuXB48esg4kEjweDbIFYwDqw39i1dr18JyHAouzG6hGEIKpfLLb89Sdt/yM7W8ifmaITsgIVhAD6yY/i/5abJxQtaRSX5+UJxQ4ndEXCLPjTHye+vXuXsd0wuJ6bh4uSOk/E4ywqCFC4VIVyFd4ufU/1o/TUS4RgRYVYW1QslB09Yr52YL+xa2aaTZ44bh6KRnkoOxvnN7VIq1wu6O7tIedraoWGF1/Qf3O4zdwry1BRVKgtaRSXFxUL5XY7tFdVi4vz84UShxO65ufZ7OXf3oxx7nKhE3t26dura8SG1hXS+qwcnD/QTy+cOWUdXdLEW9PSYdbHP2X/cssyec1r+4yXi4qEV8bH6TAhV1dL/yH40yV49GRIyslabG9a8h5zeqoz0dW9g+l6WCnIWyZlZtaZo2MnEp1dL9JwZDJ61JaqFBetdjQueTd22NOS3T27Exd6dpJAYAgAAJCmebWK8s1Ciq8YiqKKZNkuZabXhPcd+JY1M/vGhyqECMqyg0Zjs9bMXI9jWfOHjMmpdggAcK1Z9VmsaR6saR54k3j2y5E43/UigBDaGxveLRfmtyZ7eveEduz6Co3H56Eoqp7NG/8nFATFsbT5g5xzRkPhcex0pBtDw4dFn7dQqyq/wxgbPyVlZy+GsuyAgqAAcLWbuzkxeSbw/Etfcq9b/QUxI73anJxsJ8HgKBRFxd645N1kfr6fm2Zc8HjyAttf+Jw+OHQI2+1+2Z2TZYyMnZDzcpuw05Eu+HyFEGPh9ZcvlGU74JxZc3O9nBAjuOuVf2C6HlUKC1YgSbxm6R4zzARSlO+xRHxBq6nZZquve4gl9bAxOnrcPDTxfTHNXy7lZDcAALitftHDECHRGB8/RYLBEXX50o9qNdX3kGBoLHKo7bvmxGQ7gBCqZSUblLzcpsi+/d+6XJ71uzaTyVCiq/tlc3q6U0pLqyALgWEAARBTU0ttS+ofw05nOkRIJPMLA3JO9hJks/niHeefNQaHD9FYbB5gLMrZWfVIUVyxYyd+al1WIXS7IWiSM++uig9CfDHhR1AFG8RIsOJmxAzrV1VVjE+SCUGA0zUVcg0hnIyOk1EOAKCUU1WBiqYiDQBw3VjL1yFqoq1gdc7mjPrUFeGx6MD02blDKWXe+uBQ+AIA4Mib6UP24pSVgoK1yXOBo9GZ5PjU+cCJax2nR8yg5pX93jx7qWQTnUNt0ztv5V5vF+SSvGWC25lJF0Ij1tRctzk2dc6xdtlfex7e+i8soYesyZkuMh8cgqKo6D2DB8h8cAQAwOWC7EZmmHEkSweYYV71YocClqzJma7Y4TO/oNHYHJIkVa0r24rtyz5hjk93SIU5TUgSNWNo/Dj2uLLETH9F4kzX8+CyxQZSZLutpe5ee+uS917ceXZkYqc9DVBqkvngEKfMlAtzmpHdlqLUlG4yeoYOiOmpP7Om565ONeCcAcYZgBAbvUMHBL+vSK0sXud73wM/IgvBYWtqrseanOnSe4YOiCnefMem1s+479v4D3pX/165IPsZpbo0VWuouldM9RbSWGLBHJs6ZwUjE4BSS8xOq9aqSzeqidIQ041o9JXD/wEReu1GBCh2O9Lta5rvl7LSquSi3GViemoZjcSm9a7+V0kgPCZ4XTliRmqZmJ1WbQ5PnMQux9PX83hAimxXKotb5OLcpSyeDJojk6eFFE+eUlO2BbscGdb4dIdckN1II7EZKIkKhBBJBdlLxAx/OTetJL/CSBiJosqTesSanuuh4ei0Wl+5DcrSNXcsb+sc/T9Afx/pGhokvVvuUO43TW44ndAdCvHg177u/MGFC6QdIoDaDpmvrl0nb52aYuMFhbh0apKOSSKQxsbo0OAg6YUQwOkpNs4Yp5u3KPdNjNERuwM5XS7kfXWP8YJ1jbLrPydgCcmKS/aKmmjDIpaIQZMQQ+zOthXFZpOT4I9gSny7QBbCo8nO/lek/MzFNBidDPzypc9YY9PnOCGGlJNRJ5flr0ic6tpOQ9EZ+7JFjwoeZxZyaD73gxu/Zm+tf1f8SPuvpey03SyeDHLG6EXBB+AAQYxkyS6kevM9j2x5RGusuh9pqptTSpLtvS+DywwpAQBA7x7az5JGhAXCY/Gj534j52bUJdt7dxi9I23IpnqViqI13LR0IGBZ8LlypfyMeijggctJC6RINsHnznVuXflO+/JF74IQIms22B/89c4vGf2jR6Ai2+0ttY9gnyuHReMLieMdT8sFWUuw0+aX8jMXQwSHbkZMc8pMDgCXstKq1bqyO4RUT4GUl1FHg5HJ6KtHv0fmQ6NQlR2vS4KgLNpuow0PMMemz7FoYh4psj2678R/JU6cfwZKoqqU5bdqiyvuMcenO5Bd89laah7GHlc2BAAgVXYKXlc2RGgESqKGVNkJEMIsGp+7XlUi041Y/Pj5p5zrmj8W2XHoW7Pf+dVDgDEKKCOcMQIREoT0lBIoiao1Nd9tDk+ekfKzGpTy/JVaQ+U9WlP1/SyuB/XO/lc5ZQSpsuOqRjjnAECInLZU7LSlIk31AMaIXJzTAi5WwV+f4HkL58Ecm+kgMwsDSFPcsYOnf4o0xY3sms/oHTlEE3rI2VL7CAAQcM4ZUhSnXJq7DNvUl2n89xYPUBBE7LZn2Fvr17ruXPUlIAoK181YdOehf40eOPUTAABQq4rWKWUFK2gsvpA82/OylJ/VIGaklMmU5pYtAAAgAElEQVSlecshRs/dSsWcz4tSBQEKz2/Xnzh0yHhlfo5N37FVefCebepjoRBbiER4SFGI6ktBqYkEj509Yx1Lz0DZI0Okr6uTnMnKQnl33Kk8FAqyBacLeWQFqrEojwAIwOE2Y69hAL21VVrPbxA5LwhAWLRIbA4FWeDoUfO1RILHhwZJb26uUFhULJSLEpSulwZkGNx457u1Q+s3yHcbOk++/JL+VE6OULhhk3xPJMJD3/1u7Bu1NeIStxt5BQGI4DrkDOeAMw6YPw1l3nOv+tjRI+ZrEADwiU/Z/66qSliEEECyDJRLH/43lcgAAACxuJVI8HhFpVBnt0Pn0CDpzcnFBf40nBGNsvC1CB6vD6XKMlRXrZY3Qwjgs8/ov+zptjq8XpRaWys0tiyV1mRk4pzBAdLD2I39PE2Tm6tWyx0f/ojt8//0TdePpybp2IH9xq62Q8YrHi9KWb5cWmdZwLxS+nY5ZBnKa9bK6z/zeftXc3NxYfcFcq6jwzpVUCiUlJcLtQ89on0gGGQLAAI4MEC6z56xjg0OkJ6hIdK3YpW0ccX/Ye+9o+S4yrTxGyp37umenpxz0CSFkaycg21Zlg2OZGMweYGP/QG7y5IW2GWXaLIBY8AJB1kOkpVzGGk0OefQM9M5Va663x8z8mfLki0WA/b+9jmnz5lzprruvXW76tZ93vd9ntXs5vx8XByJmKF5MoJo4jXKr98OY6coSN1xJ++TRJL69UPiD/r69E4EAbr93fz7b3+X8IG+Xq0jGjXDwaA5m1+ASybG9WE/Ben8Alx87Ii6L5UkySVLqVUrVjIbJsaM4bw8qhgAAJIJEtd1oD37jPSH2kX04qu5ZcZiZrS6hv7xt//d8ast27hdTzwu/eaFvfITtYvopv5evXPvs/Kju2/n37dmLbN1yVJ65XvfJ3zi0iXt7IljyssVlfQl/7QxeS0i9HrwjiV4AIQIMYxFmZhokQcGj2CHI8tSX3sbxJjWI5ExbS4woMdi04jlbHx52Sba6ykRO7v2KFPTlyCECPGck3K58imPu4grKFiuR6ITqbb2J4FJiG3l8vuT5y48nDh7/jdXChpDhChstXiNZGJWj0TGYgcPf4fJzKy11C/arYcjY0TXVWy3ZUBMsdc7lAUHp8cot+s0V1y02lJbcwtkWas6PtFixOLTeiw2TbndBanO7ueMaHQCUpgVO7ufIyYxKLcr30gk5/iKiq2Qwkyqte1xYhhXzYBYiLIdYDIypmzLl34IWa1eJiuzVpsN9Ilt7U8lzpx7yH5D8/1GPDEjdnQ9y+RkN1rqandBhGnK5cyDCNN6NDapR+Y3uADMR64d69faIcvauIKC5fLQ8HG+tHitkUwGTUWJA/wakbvXjluWEwCAX2Kr5WmuuHgNX1q8ztJQ/27KYc8imi4ZqVQI22wZpqIkkhcv/VHqHzjIl5SswzabL3Hy9M9S7Z1PQwSxUF11I1deulEPR8ciL+3/V/Uq5A4A8wLP2sxsN1E1Sezqfh4YpgYZxmrEE7OQZW1USgzJQ8PHlNHxM1ogMAAAIZTbXcDk5y6jPZ4S2uspZTIzasSevhcTp8783FRfv6l/q4AwojBLcaZuaqyT98YGg22GrIvWXEfZtb6jz4uDvUZHgGURs2u79S7DAAYA4KE3a9db6W7KXuJb78izlRqqofBuLp0QYlozLLngzyR44tPiiK/S1eAusFUgDK/5rDENolMM5qxePjswEGufL0n724FO95RgtyOH9Bu6EY1P0zkZtXLf8FF1dOoCMAyVKcpbxjdU7dSmZjspX1oxneEppbzuQkAI0WYCvUxBdhOkqXNEe5XN7oJWF0AIA9PUmbzsBmy3pFNprgKuunQzMzHTjr3uwuThMz8xk2KYyUqvUqdmu4iivrJQIpYRLM31dwhNNbcaSTGkz4WG9VB0wgjHJrVgeMRMiEHEcw4jHJ2AFGaQ1eJhywpXYZc9m05P+7o2Fxp6zUAhREhgHWZKClEZ3rIFEhpCgXMaw4lZSFOc5p/rpTO85Wxx3jJ1eOIcMU2dqyhayzdW7TSTUlgZHD2VmvA/jRhaQALvIqomAYbmzaQYki52PW2qmsQvKt/uvHXz10O/ffoj4BrWvNhhS7dvW/1Z7LBlKoNjp9ThifN0fnYjEjgnYhieqy7dpM+FhkwllZL7ho9yFcXr7BtWfBxx7LevLO9AHGuxbVzxCTrTW5460/ZHyNCCde3S+ymPu0Cbmu1S+kdPIAvv5KpKNmCbxUNUTaJu3vBP+lxoUJua6cJuZ+6VGjymKEWY4ro7lLGpC8hq8WK71QuvYpP+ls/R3wHRqBmpXUT/tLGRbo7FSCQ/nyre95L8VHEJVcHzUFi5it34yMOpn6Sno8y+Xq09GqVCwaA5e/GCenrbdm733ufkRzdsYG+Mx80ohACeO6sdt9mRQxCgJRAwZoaG9DcUd/+fAkMzFUagbJhBLGOl7DRHCQgjCuHry+b9e4HoukZ5Xb/mK4vWMfmZ9Uyur8ZMimG+pmSDdc3iD+qByKgyNHmOLclz2Tcv3y51Dx3UZ0ODyMK7LUtrb3Pduf3fbXPhjy6UpajEMDRgEhPSFIudtkw601OuByKjqbPtj/FVxeuYHF8Nk5/VCK4geIxoYlqfCw/RWd5KvqZ0kzo+027Ek7P8orKtVLq7KHWm7VHI0Jx9y4pPI461Ondt+BfK5ym13lA/CAggyCp43Hdur2QrCtfQmZ5yuLCxN5NiyEyk5riKwtXWtUvu4yoL10IIoanrSuSPL34+db7zScvyurusq5s+oI5OtwIA3vieNEwDEEAojzMv7b03/0iPxv3a5Gwn5XHlO3dv+hq2W7zJIy2/gixjBQAAxDFW8BYyPJo/2K/NhgapjLQSKs2RR+f4qi0r6u4S6itulPtGj7Mlec2QwmzyVNsfuJLcZmpp7e2U113oevfWb2mzwUFss3opjzMfUhSbOHT2p5DCf7paZg8xTIPJTn/Ztn7pR+gcX40yMH6amKYJMcKU110EaYpji7IXE11XsdOaadu47AG5e/hQ+Hd7P0mlu4vtW1Z8ki1MW8wWZi82YslZbTY0iDjWRvncJUYsOaP5A33a1Fy3NjXXpfkDfXowMkpnplekfeCWnyP6Ot6f/4bzYEpywn33ji6mJHcZX128UZ0O9qrDU+fpLG+lZUnNbZo/0Jc63/Un5851X6I8znzr8vq7IcKUbXXTGVPVJCRwdtfujUVsSW4zW5K3HC6Mz9R1RZsLD9PpacWWFXV3W1fU3w0wppHAOWJ7Dn8jefzibx03rv4/QkPFTVJr716I0bE3I3msNmQPhc3An56UfhsOm8HtO7jbZZlIfr8xUVpGVX/sE9Yv/u63qQdPnlAPVFXTDWvXMxsnx/WRvXvlx2tq6MaKCnpRaSlVmUqR5KlT6qGuTu3i2JgxhDGgEgkSKyqiSqemjLFUyrymptrsrOE/fkzZv3Gz/WZegJbTp9RDRUVUWX0D08yykM/IQNkuF0oDV2R9X8bFC9rpVIok1qxlty5ZxqwqLqYqgkFztuW8eqK+nl5WVESVhcMkSNPwmgQPxoBiGcgGAubMs89If7BakW3DJvZmqxVZ9+5VHi8rpaqXLqNX+3w4G1xndpSsACkaNUPjY8bQd/898WXDBOZNN3N3SKKZkiUiXa3EyO1GnlTSjD/xuPTrRILEOA7yK25g1zc00s0eD/LNzRrTEAIYjZihNyLNLiMSmSfpBgf0nu/8W+IfVRUoGZkoJxQyA0NDRm9OLi4wjatn8FAUxDfdzN32uf9j+0YyacZ/8L3kVw/sV/bU1dNL161ntw8N6r1PPCH9uqSYqqytoxcHA+ZMWhpK93jo9Pe8T/jY1KQxfqFFPWW3s86jh5UX6xuZ5kDAnE0myFXFrt8OY8cYYJsN2Xt6tPYnn5B+U1KCK5evYNdPjBsjFAXo5SvYdW438vzkwdS3RoaMvoZGenlDI73s2FF138CA3rNyJbMxvwCXVFRQtYAAcu6ceuzoEfLixLgxwnKAj0ZJKDML5874jUlCXk9SdXVqlzZv4b76+S/YvuF2I8/6DewOhoHspUvq2fx8qiSRMGPP79Uej0ZIiGUBl+ZBvo9/0vplmgHM+XPa8V27+ZdPn1IPz82a028kxnzV+f5zDn47gZimSQxDI6omCVWV25n5zAo7dtizsM3mS56/8DtIU5ylvu42I5kMaLNzvcr4xHlIUSzkeRft81Vguy1DHhg6Eu7s3gsIMIWKsi18TdUOqW/gYPJcy2+vtEgHAACAMU05HNlEUuKU3Z5pWdxwN5ORUQ051ib2nvslne4tZzJ81eAqm4E3gx6OjAMAHsFWy4tCVeUOvrrqRizwrvlNIjEAIGQhg6aYSk8vQxTFMXm5SxBNc+rsXF+y5eIjcv/AIVNR3zD7QZ2Z6cGC8DUmL3cJX1mx1drUeLcWDA7qofCIMjnVSlRNtK9d9WlLbc1O7HTkQIiw6p/pVMbGz4WfevbTytj42csp2RBjBlsEDwAA0N60UtrrKdPCoWFlbOIcttszAZgkEEL4RrWFRjIVAgA8hVh2H5XmLhRqa24Rqiq3U2nuIjORnBXbOp4Cpqm7tm/9mhGLTeqRyDi22XzOjeu+QLldBUY8MZM4eeZnyujYaUMUr8p2GolkAFIUa1vRfD+AAGjB0JDU07ePqEqSKyxcaUSjE+rU1CWIEGaLClbyVRXbsdXiodPTK7DdlgEpijNi8ank+Yu/ix07/gM9Fru2gN5bAEKIER8KdSTGo/25m8vuMjVDwyzmaRvrwhx11awoAAAozKMLli/hVjjt2JmTSeV860tpvMBDobNX7byedtNKnLWMlXbMtgdPJ2fFScxizuLls8SgdN3K7Zcx1xdts6bzOblNntXufGvZol2FY8PH/S/ICS1KCDBpFvOYRkz+0vRVeUu964aPz7yAKERjBl2TFPxrAFl4F5lPPQ8DCJF4oespxNAWpiCn0XJD4wOIY22mqomIY23YYc1Qx/1tdFZ6lTo2dQFizAhNNbsXlqYTl89JCCFCU7VMZ6VXMUU5S5X+sRP6XHCQ9nlK5L6Ro4hjbcrA6Al9NjioTs50GLHEjBFLTF/OeIEIIa6iaDlkGUv85RPfp9zOXGIYGlG0FFF9IpPjq0WV9kwiKwlIYUabDQ0pwxPnzJQYEuoqbrRvWfUZbBG+bKRedT9AAJHAOym3I08dnWzBTnu2MjR+minMWQxpilWGJ84ii+Bii3KXmSkxJHX072dLC1YkDp3+seWGpvdRac48JAhOJMpRACHSAuEhtjivmc7wlMtdgwcAhjTR9Ejy2PlfcqUFK23rmj+CbdZ/NhLJ12ScQYpi7NtWf4ivLN5gxJOz2G5NNyUlQbkdOYjnHICiWCLJMTrbVwOIabBFec1I4JzI7chhi/OaAQAHXjkXhFBoqtlCZ3rL1YmZDmFxzW51fLqVGKaGONZGeV2FRNNkSGHWiCVmksdbHqI8rgJ1wt9Oe90FdF5Ww/z1xq9ZC/VYYkYdn24lipoyovEpU1YS4IqszL/KHP2d0N2lt/7oB6lvPPBxyxd9GTh7ZMQYePg3qR+tXM1uTqXMZHY2zm9r086xDGBDQXPOP21MJhMkfuK4eoBlIDs0pPfJMhBraqims2fVoxs3sTc7ncj9+9+JP9W0N9eie6cjFZD9rb/v/z7NYwvFUYKpmxohxJTjWkSXdRH86O/dwzeGEYpNxJ4//u9pH7jlZ85dG79ibhbDkMIsMUwd2yxey9Lq3XooOp480fo7fSY0AIhpWNctvR8gSJmJVIAYhoq9rgLal1YCMaKIaepmIhVURqYuJA6d/akejI5p/kCfmRAD9m0rP8cUZDVCht5H1P9XjkpkJSX3DB9hS/NWAACg3D100Lqq8X2U256TPN76W6ln6DAggDD5mQ1cReEayDCCbd2S+yCFmXmtPoqHFGbMRCqQOtvxuDo6fRHxrJ2rKFxj37Hq80jgnGxJ/nIAAFDG/JfknuEjUufgAbl35KgRiU/b1i2933Pf7oect248ZERiU2ZKjhrh2IQ6PddjivL/28AQYgJAANF0WQ9GxrSZ0IARS8zQvrQSSGFGau19LnWm/VHn7Zu+DgAAkOcc4M8Qcn0zEMPQbeuXPctXF29w7Fj1edv6pfcjgXfqwciYEY5NiP1jJ01JjgtLa27jKorWEAAIpDAjLK25DS4QHEQ3VEBhGmBEyX2jxwAAV32fMVNSRJ8LDdrWLvmQHoyMCnXl0HXb5jV0lrdSGfdfMpNSmMnxVbNl+Svl7uHDSt/oCbY0bwVblLMEUphRJ/ztqTMdjynDky10dnqldWXje+MvnvjP1NmOxyCFGVNS4vpsaAhghJncjEVMYfZioqhJU9XfvIT1bzwPcs/IEeuqxvdilz1LPnD2QSbXV8OVF6wSL/bskdr7X9Jmgv10pqfMurrpA0TTJb6+fIfQWHkzoDALKcxAhuaJoqbkvtHjyuDEGSOZCgp15dutKxveAwxTYwqzm5CFd6lTs13K+anz4oXuZ/RAZNSIJfyOHWu+kPb+nT8R2/pfsm9a3m8mxbART81pU3PdRjw5S0zzlfdrmgYMRgBTGFCXNVVKy6jq0lKqkuOg8MLz4hNLljIrC4uoUr/fmDx9UjlkmMC4dTf/Hp6HwtCQ3vudbyW/iCmA7XbotFigraAAl6T7cFa6F2XY7Mhx+pRyOBQm13Sdk2Ugjo8bw//yT/FPOBzIWV1DNRYWUWXd3dqldB/K9HiQz+5ALnANgmdmxpga6Ne7Gxrp5l/9Qvyvp2LSw9k5OL+mlm4aHzOG8vJwUVeX3orxtfewmAIUx0G+v1/vVFWgrFzF3Gq1QhtFAXrdOma7y4XSaAYyGZko+3p/A5pK1GSSJBJJM57uw1kbN7E3yTKRz55RjxYXUxVX+w7DADYWJ1G3G3k3bKRvjMdJzO1GHr/fmGxpUU+tW8duwxjg67VrF0WSSiTMmM0GHfe+V3hgbs6cab2onc7NxQU1tVSjKJKUcRWCh2EgvWs3d8+nPm39ZwAA+LdvJr7Qck47sWYts/WD91k+c+yosu+Rh6Wf1NRSTXfcxd+nKECmKJ2KxUjkhpXsxnDIDEAIQFMTs9zlQmm33Mrfk5OLC9vbtHOKQq56v74dxg4hgBQDGIQgpmnAuNzIw/OAr6unlxQU4rLpKWP80iXt3Lvu4D84NmoMTU0ZY/v3Kc9YLNB29z3C/aJIUseOqPuOHlFeEnhosViRTRCgpbKKqsvMwjkuF/I4XTDtmaelR6523QEA4PAh5XlJIqkHPm79YmUVqnvmaekRj2dex+qHP0h9fWpy3gWstBRXNTYxy/MLQLHDjlw7buTetWEje9PYmDH0/HPy49k5+LEZvzl5veVb71yCR1VT2GZNtzUveb88PHLSiMf9bH7+MsrlyIUMY+FLS9bbli1+nx6JTujR2JQRi0+bohRhC/KbuZLC1XooMiq2dz4DKMwKtdU3c/n5y0xJisUOHP6OPDJ66tX6La8GxIjCNpsPOx05fFXFdiMSnYh2dO/R5ub6jHjC79y+5asQU8z12KRfC0YyFYIIPZK61P4E5XLlU960Ymyz+bDV6sUWi4dougQBhKYkRZMtFx7Rpmc6lMnJi0RWEtcr0mSIYhRCeEAZGj6OXc5cNju7nnK78iHL2RBN8wQQIg0OHTXiiVk9Eh1Tp6bbjERiBhiG/uo2CCGGMj5xLn70xA+IoSuAAAAQxBAhSuzo2iN297xwvX0yFSUFAOiEGPcmz7X8li8v3cgVFa7kykrWUy5XHrYIaQBjmihKUgsEB+ShkRPRA4e/pU5OXiSqJr1RO6mOzmeUqalWJsNXxeTmNLF5uUscq1d+Etus6Qt6SSYghBgpMayMjZ81otFJk8KMqapJEItPyyOjJ5PnWh6WR0dPE02/vnrdvwyQEmibOB0fig4ELzlK0hYxDs4j+hNjhmJcM3Polm3WXVXlTFU0ZkStFmTVdaCrOtB6BtXriqIbqqFIYWUOQoAgBNBd5KimWMzrqvHf0Qwh/s7wWV02RKuXy8pbmr7BXWAr11VT0UQ9KbhYrz1TyDMNU0/MSpMWD5cRHIp3ma+3KfzrgqJYOiu9iqiaqE7427HTnoUzvBV0lrcKu+zZ6sjk+fj+E98jmi7zi8q3C001txqR2CSkaYEpzF1qSlLUsqLxXmy39RvxxCuigUQ3FAAhpNI9JUQzVK40fwXkODtkaIvcP3JMG/dfMmU1Qedk1FIeV77U3vf8K13yugotKxe/T+4ZPMRVFq9DLGMRL3Y/KzRV79KDkdHonkNfYwqym+is9CqurHClOj7dqvQNH50X/+FdtnXNH2E6+l6EEL7q/oMQUBSr+QM9TF5WA2QZqylKEWIYOuXzlPE0zRnJVAiytAUarCYsrtmtTc11QY61qYPjp8SWzicpr7tIG59uhSxr5ReVbwcAED0QGeGqSjZgu9UndQ28TFQ1lTh0+kH7ttWf5yqL1gEAnnj15aZ9acX8ooodpqqJACE87wDjKVUGx06JFzr/pAfCo0xuRq1t/fIHTFGJQYbmxYvdzwDTNOhsXxVimZOmokoQIUTnZFQLzfV3aWNTF7GFdxmR+BRiWRvlsmdDjrEpF8ee1ufCw1xN6WaiqEllaPyMkUgFIIVpoumKdLHrGaYwd+mVGTwQIcwW5y03E6kg5XUXYrvVB654vvx15ujvA8MgJsfBZxAC6M67hQ/fc6/w0Qst6imGBvTpk+qh8gqq9vgxdX/XqN56513CfYcPKy+UllLVLefU4zWL6MV+vzGRn0+VZGTi7HhMiVbX0A2TE/rohQvqqT836vROhCbrkiPbKmU3edd4Sp21xDD1uF8cGzo8+UxyVnpDsdi3A4hpmoihD8ZfOP4fzl0b/oVKc+YnT7Y+bMRTAa4sf6U6PHlevNT3gmVZ7e1AN1SAIGLyM+uNWHIm8fLpHymDE2eEpqqdjp1rv2zEk3NSx+D+1Jm2x5TBiTNcecFK+7aV/5A8euEhqa3/Jdu6JfezRdmLEc86wKtEVk1Vk/iakqO2dUs/jATOITRV3sJVF2/Qg5FRZLd4gWYo2lx4WGofeEkZHD8tdQ4doOyWdGFJ9a3Y4ypg8jLrdH+wT7zUuxdZhDQAIUocOPtg/KWT3+OqSzbaNy//OIAAGpH4FFuQ1WhE434m21fF5GfWc+UFqyDHWOefR45c+8bmB4iuq5Ch+dgzh74OAPjeKxcLQwwgBMrI1IXQr57+MACAWFY2vAcJvFPqOL1Pmw70sSW5zUx2ehUAAGAL77qm/sx/E3LX4AHVH+hl8zLrCCFm/MUT302dbX/cTElhtqJwrfPG1V/gygpW6qHouNTRvw8AACzLFr2LUJgxgtFxdcLfxlWXbKKzvBVw3un0qgSPkRAD4sXe51x3bP2279P3PiP3jZ4QL3Q/nTzZ+oiZlMKOnWu/yBTmLAEQIjrTU843Ve1UhybPKwPjp4miipEn9n8RUpixrKi/R2iqukUZHD+VOtf5BJ3pKcc2i1e81Pc8dtmzuKriDURWEqkTFx9GPGtjS/NueNOL8DeeB3VkskXzB/uYHF8tW5DVaFledycxDA1ZBDcAEBqx5KzUOXgAAADEiz17IEIUX1uyaX4N8FYASaGkiz17TFlJQI6xyqcv/T557OJv6ExPuWPbDZ9BAufUZoL9lNuRQ3RDpTyuAjo3Y5FQV74NOyzpRNNliDHl2LHq8wBjGrGMRWzt3Rt+ZO+nAQChy/2EEECPF/luexf//lDInNu4ib3ZZkeOGb8xWVBIue+4Q/gQwgBPThgjAABAM4DlWMhZLNDGcpBDEKBgyJyjKEgZOjHicRKNRc1wOGIGu7v1S11d2qVTJ9SDYsp8nSX4K9dKJaphACMvDxfetJO/kxBAJImIefm4iGEAy7KQY2hwzUCeLAGpt0dva1rMrEgmzNiHP2r5fCRsBkdHjIGsHJRPM5DhOMBfq8wLgPnSHJaDfGMTvaK2ll4cDJlz42P6MEIAGgbQO9rVC9t2sLszM3Hu9f4GLpNGjY1sc1kZVX38qLpflEjqll383bMzxlWf89EoCbtcKM3nQ1l//L3082jMjAg8tJSVU9UuF/L09+td4+PGMMtBDswTsG+4XuoaUFUVqIoC5P37lGcH+vUuhxO6775H+EhuLi4cHzdGDPP179CVVVTd/R+1fj49HWe2t2st8SiJ3HEn/6GNm7ibL7Sopw68rOwxDKIvWcasGhwwuh/+berH585qxyAE8GvftD+4bh27/cxp9cj+ffKz+flU0dr17PbCIqpsbtb0qyq56p7o7TJ2CACsrKQW3XmX8OF0H8pcs5bdmoibsWSCxHJyqPwPfsjyaVEiYmmpUUXTkGFYyPIcECwWZGUYwGoaUMMRM8RzkJdkIsZjZjQaJaFQyAj09Wqdl1q1M+fPaSeu9a6jaURHCB6cmYlN3XmXcN8DH7d80ePBvsF+vXtmxpjyeFC6phLV4URuloP8i8/LT05OGmN5ebiooZFurq6hGz7zWetX16xltjz0S/F7GMMX36gM7zLeuQSPoiaJYWh6LD5Nud35QmXFNkjTvKlqImZZK+VNKwaEmKYsx4Fp6HxlxVb7mpWfZLIya4mmyerMbDdfVrKeaLqszs31xU+f+YU6PtlipFJvqFRPNF1RpqZarZkZNWxB3jIzKQZpX3r5QjkGxWT6qo1EchaY1+8ucdV25iP5EphPHbyu9ME/u435TYUMABhY+Pz555gXhH184fPW9Gte22cCAPBrxDKPY7s9E1utXsgyFogphuiaokdiE3o4PHotIu5155w/bgAAMAAR2ottNh+d7i1jcrMb2fy8pZTLXYCt804TdLq3jHK78ommycrQ8PFUZ9ceZWzi/FUzuv5KMBRdivYFLgAI4MyJkT2AEMI6eW+ke/as6I+PvNF3L7YpF+pr2IaZgD5z4jljxrgAACAASURBVKx8YvtGyw6nHb9O7PpqmDw3c8CaaclzFToqWQebpst6KjGdGg32Ra7LQvbVSMxKU658W7lpEsM0iREcinWqKT2R0+hZlZiVJkOD8U7OyaSFR+K9qmgkEIaUaZh6Kij/2dlCfwnMRDKgDIydUif8HXSGt9zSXHcnW5S7DFoElzY12xX9074vKyOTLQAAAGnqlDrmb3XctO5LXE3pZjMpBpGQ6UQWwSWMVl2ACP3ilWiabqjqhL9NG5u+ZCpKIvb80W9zVcXrtanZLuywZWKXI1ubCw0BUYrFnjv8TXV8uhWAeU0Xx80bPkylu4s4UmxS6e5ibcLfZlnRcI86MdOePHzmpwtZem2QomjrmiX3WVc2vY8rK1wFCCFGMhVUJ/xtliW1tys9Q4fBZT0jCCBkKJ7ohmIkUgEoKXFkm984JQ6e/rHcM3TITKSCdKa3zHn7tu9gmyUNGKZKCCHapL8Du+zZkGUsxCQmm5uxKHHw1A/V6bkexDAWtiRvuX3Lqn9gC3MWy73zJVXK0MQZrqp0I0ToT69kJlGYtixvWKbPBQeJoiax25nHFuevkC5170keO/8roqopiDGlzQT7lYGxU5YVDfcoQxNnKZcjG0AA6QxvBeRYGwBAQhbeZduw/GPq0PgZsbV7D1uQ3Yi97kIAAEA854jtOfRVsbV7jylKMcppP2TbvPJTyMK7ACCESnPmS50DL1MuRzYgpgGu0OCBLGMlshLXZgJ96uRMB+VxFQDDfJXWx19pjv6OkGUi0zR8fHramHjXu/kPrFlr3WqzIcelVvVsOGwGCwpx6cv75Wc1jWiGAQzDAHpVDd0Qj5FIbS3dFI+TWEkpVfXxT1m/PDtjTH//v1JfnfGbb3ty460A52DdVTcV3JJe5W4CJiFxf2qU5ilrRm3aslRA9oP5tfxtDVPVJGzhH6LSnHnWNU0f4GtKNgMAgJmUwthpyySKmpQ6BvYbseQsk5exCDE0D2mK5WpKNhLdUOksb6XcNXQgfvDsT5W+0WOmKEWZnIxaoanqFrGl+xllaOIcW5SzGCCEmdzMRUjgX0PwAACAOu5vk/tHTwqNlTfRGZ5SuXfkWPTZQ19Xh6fOE02X2bL8G4iuq4kDl35iinJUMU2TcjtaLSvq7qSc9iwjlphli3KWps53Ppk60/44kZU4U5S71HHz2v+PyfZWJY9f/C0AECCbxUt53YVp77v5QcgyltSptj9oc+FhZOFdRNOV1Jm2R42EGHTesu6fmJLcZa/uI+JYG4QQazPBfmTlXc5bN3yFycus16YDPVxV8Qbr6qYPUB5n/mUdRmQV0v6SgN/VoIdik8nD539B3775GxAiBAABbFHOEn5R2TamILtRj8Snwn984XPq8OQ5U9Uk5851XyK6rsqdgwfEiz3PCg0VN0GMKQAAh5h5ofyrgRiGgS38E3SWt8K2dvGHsN2ars+FR/RAZBiytMUIRceTR8//Sg9GR5XhyRY9EBlhcnw19m0rPyO19b3ILyrballRf7cRjU8nj1/8jR4Ij9g3Nj9gRBMzyZOtv4MUpu07Vn2eLcxZEn54z8fpvMw6oaHiZmKaGnyTa/a3ngcjKYbE851PsYXZS6yrm96vRxP+2NMH/1W81LvXTIghKt1dyGSnVyWOtPxKnwsNEt3QkcBd4CqL1jp3bfgKkZQ45XUVqhOzHYn9p36ozYWHKac9w75lxaeEJbW3qaNTF1LnOp+0b2r+OEQIO3at/2fstGUpvSNH4i+f+bFQV76dqKqoDE2elzoH9ztv2/R1tjhnGZpfD18heBQFyBhBvGUbt0uSiIggQADOu2sdfFl5buUqZlM4YgYXsiHi8TiJJuJmLB4nkVjMjESjZiQeIxFRJEkxRVKpFEkkk/PHpVIkeT2EPSGA1C6impavYNZPThgjaWkoPR43o488rPzkrruFD7vc0ENR1y7bNwyih0JmACGAkkmS+MfPx+9jGMD4fDhrwyb2JtMEJsdBHmGIr3UOjAHFsoBDCKKHfpn6flendrGxiVnucEL3gf3KT9N9KGvHjdztGZk4m6Ig1q8jsMiykHM4oNPlRp6uTq2VYQFbXcs09PXpHRYLfL3GFAAgGDBnFYXIXZ16q64TfcMG9sZ0H87q69U7LlzQTvE8EHbewt91ww3MhqOHlZcAAG/4/oswwAAA0HJePdF2ST2PEIQuCNH+ffIzNht0uNOQ58oyJY6D3H33W7YUFeGySJiETp1UD955t/Dhunpq6YsvKE9GImaI5SD/6c9a/9XtRp7/+PfEl7u79LbLgaevfNUemZk1pv/4e/HnFZV0bWYWyt27R3p02YIz27Ws5t8OYzcJMBUFyBYrtN1zr/ARVSUKpgBltSHbjN+Y6u7SLq1ey26ZnDRGJYmIszPmdDxhRhNxEovHzUgsSiLRqBmOx0lMkkgqlTKTqRRJJBMkHoubUVl6ve7S1bBw3/RYrehfjh9TXr5pJ39nVRVV17ycWSuJJIUwxBwH+daL6pnDh5QXohEzNDeH/WkelF5YSJUaBtAbm5gVWdk4n+UgT9Pw6TfTNnzHEjymqoqQojjK6cwFECJTlhPKwOBhqafvJfvaVZ9Onm95WB4cPsrm5y1jsrPqkCC4jURyTuzo2mMkU0E9FBrSAsEBPRQeNWU5TrQ3zgB5pV1FSWKB/zexvfMZNjeniXK7C16d9qmHQsPq1PQlU5Qif90r8P8PmIqaAvPONW+ZCwuZJ9+mAQDTkKJOQfocDzGm4SvOZ4SQBaFIomkSUVXxbx1hRzRmPU056y05ydLpo8NPTe7vfwQihA3NUIhxbeHaUMQInm+Vz2dlUtmiRMQlDewSTSOqVYDXLOt6NZIzqfHRo5N7EIIYQIgM1ZADveHWxFTqDUmlq0EMy7OmbmqslXaoSS3m7wifxTRmEjPSBM1jS2JGHGcslJ2x0ra0DKFqtid6cbY7esH8M6x33wpo/kAvdjtz+bqK7VxF0VpIU5wyNn2Rqyxer00HerWZYN/lY4mmq9hhPWhZVvtubLV4iKqJgOfs6vh0G1uav0I83/44WBDsI5quYKvgMWU5njp96Q/EMFQjnpi1LKt7tynKseSx8w+ZKTFMCHmljBFCCLnKoiVcZdE6I5acwU5bFpHVJJXmygcY0eKf9n3p1SWYRNc1Ks35nKW5/k6uunST1Nr1LKQoBlmENGwTPHRmeiUA4AIAAAAIIRJ4B6Jp3hR4lyHKUTrTW6kMjp4SWzqfvOxSBRHsjT9/5FuuO3d8l87NrFfHp1vZkoIbzEQqoIejE0Jj1c1iW+8L6tj0pcskMUToBWThXY6bN/zTgg6HakRik1R95U3YYc0ACxFixLJWvrZsK+3zlsl9w0fFC11PCQ2VN1E+T4ljx9ovAAqz2Cq4CSGESnPlAwAIv6h8G1OQ3aRNz3YhgXdBhhYAmH9hhxRmpfbeF7HD6iOmqQPD0CmvuzB1rv0x8Xz7E5cFRPVo3M+VFuzhKorW6cHwMJ3hraA87kJiGBpEiCLkCpFllrEQ3VCRwDuZ/KwGbLf6XhGV/2vO0d8ZC5GmE8NDeu/mLdyuO+4SPrRpC7fz5An1YHUN3ZCRiXMGB/We+np6aWeH1vr+Dwqf3POs/Me6enqp2408PA+F0RF98KFfiv/V0a61XE+U6X8CeCeT5iqwVcQmk8PR0US/ktLi2fWeGwQXl45oxIB3AMEDAABGSopRTtu3iapJltWN78M2i0cd9beKbf0vmqomQwiH6az0Stv6ZR8hmq4kDp79CSAAWJoXvUsPREYjj+37Rz0UHQcQQCY/q5GrKFwVP3Dmx2Y8GeBK85YzhdmL5/Vy+DQqzZEHrggsmQkxJJ7teIyrKFyNbRZP6kz7o0rf2AkAAWCLc5Y5d677kuYP9gMCSOpcxxOQpiShsXK5be2S+yi3I0cPR8fjL538ntQ1dJComszkZS5y7lz3T0yurxYACNni3KXIbk1HDM1jh9WHHVZf/MUT3xUv9b3gun3T16l0d3FqfKY9cbTll0Jd2XYAISSSmnh1H5HN4gEIYTOeCmC71WeKcly82LNHD0XHIMYMsgkePRAZJoapMzm+GmQV3Iihrt+p5zpAdF3FDtuTbHHuMsuy2nc5dq77khFNzirDk+eiTx38itw/ctwU5Rh22HzOXeu/wuRm1MZfPvMjfS40xNdX7KBzfLWvOD29CelhpKQotlu/ZYRjk5YV9Xe777nxe6nznU9KrT3PJY5d/DVRNYkYhkY0XWULsxudt2/+OlHUFFddsoHJy6gDGNGmrCSY/KwGrrp4g3i244nksQsPURmeUq6qaD0g88QectgyrSsb7iWaLkOOtUKWsYCrmIX8veaBaLrK5Gbss66ou4vJz2pQ+kaPixe6nzFSUpTyuPLt21Z+FtstXoAQJbZ0PQUxGmVyM4rtG5s/xmSnV2pz4eHkkfO/TBy98BCR5Di2Wz2OHav+QWiovAkgiHGaM896Q/09yG5NXyiN9MgDY6eizx75hvWG+nupTE8ZngsPRZ859FVIYRYCAAxFTZIrgsmBOWMmGjXDM34yeemSds7lQmmZWSh3/z7lmckJY7Siiqo7cUx5+acPpr6dEknSNIBhmsAwTGKYBjDnyfu/7LldUkpVxqJmWLBAKwGEnD2rHrNYoHXjRvamvHxcrKpEod4gg0fXgTbjNyYv96OlRT2xahW7qaaWaurr1TudTpTG81DACFyT4IEAAAgg6O3R22dnjalNm9mbIxES6mjXWlauYjY1r2DW2uzQ6fEgn9UK7QCAN92zsQxk7XbkPHNaPdLRoV+AEMAf/zD5zVt38++pqaUbaRpSV266/X5j0iSA3HWvcH88ZkYRAuixR6VfzfiNSY8X++rr6WV5+bjY7oAuiwVa36wPDANZmgZ0IGDOWK3ImpWN0rZt43YbJjDsDuS8WpkSx0G+rp5eCgCAyaQZ37Wbu9ftQp7Tp9Uj4+P6cOsF7fTOW/l7ysvpmq/9a/wzPd16+6v3PAgBLAjQsvNW/u7ly5m1Z8+qx+68W/gwx0GuoACX8PP7i9clR7wdxm7oQPdPGxOpFElcOK+dnJoyxnPzcCFCAO99Tn7M4UCuhkam+dcPpX5w6IDy/Py9AIz5+4Is3A/zf79Z/64HyaSZQBjuazmvnXS6UFpZGVVd30AvW9rMrK6upupdbuQZGzOGRob1fkUG0viYMfTzn6X+IxwyA+95n/Cx+ga6+WMft3xxaEDvAQC8ofTGO5bgIZqaAgAQAAhRp6ZbEydOPqhMTl3kiopWIY6zA5MYqn+mG7zKzvutgiFKUTAvOPtnic7+L95+WMjs+Zvacl8PiGnquqglWbfgsxe6q6W5xAQhgHA8bbXlu1BqKjZkXmE3DsD8gxghgPbsS+7Ztd26q6qcqZ6c1ienZvTriqSb87WdLYyF7hPSeJ8m6SklrkRM4893wdFkQ7Z4uJdpDgvpFa5GQzPVZFD2e0sctaZBdIqnLKZJDF0xFH9H+OzA4elnNVn/m2+E5t1iMhbpM8F+saXzT5BlLExeZj22Wb1GLOEHxmsFKImkxLWpuW6muf5OU1LiejAyrk3PdjK5WfXIbk0Hlwkew1CJSXTIslautmwzRIjiKorWMHlZDcGf/fGuBe2p+XMuLKaQoTmusmQjRJjSJmc69HBski3JW84vqtguXex62pSU14nZ6aHoRNp7d3UihrGYKTlCNE1S48k5YXHtbWxp/gqwQB5AAABiGauRkiJmMhWELGvFFsElTsy0vdqCnJiEQIROx186/l3HLZu+gu2WdCOemiOmqSOOtdJZvmrj0JmfvKZU0zRNJj+7A9utPiYvq0GcCw/xDVW3YK+7iPJ5SsECwQN51s7kZTdih81ncdmzmNzZOrG1+1nxQudTVJornynMWYJ41q5NzXZx1aUbKbczF2X7amhfWgkAhECWtV6OyGK7LcOIp+YIIYYpKwmiaiISeDed4a1IHD77syvdYbSZQL/QVLNbHxg9njzd+jtk4d3AJCZXWrASXJnWixGlh2OTRiIVJLqhmKIUAeb8/fbXnKO3AxYiTQGE4C/aLmnndt3G37tlK7vL58PZn/ik9cuyTKS8fFyMMaDS03Hm3fcKH3U6kGtkRB/4+c9S//Hi8/KfwmHzdU5//5PBWGhbwYrMLfv+6ex7Jy/MHWMstNWVZy21ZwkFFIt5AMDfLPvzL4UeTcwglvm6Mjbd6ti+6rN0fkadZXndnUyOT4cMPUpUVYzvP/UDI5aYIZouez546y/YsvyV0WcPf1MLhEchxpgry7uBrSxaZ4RiE3x18QbIMlZtcrZTD0bHAEaUEYqNv0bXZgGEEIIt/H65Z+SosLh6l2VZ7buIaeqIoQXr6qb3M4XZTUx+ZoMyMnUBGKbGLyrb4rpj23cQz9qTJy7+Nr7/9I80f6AXcqzV0rzo5rT33PQxpiCrURkYPwUAAGxRzlKAEJY6BvYZ0cQMW5q3Qp2c7bZvXv5Jtih3aXzfye/FXzr5X8QwVOxx5c+L4SVfyTKCGFPpn7rbCxDERiI5J17s2SO29uxBAufka8u2Wlc1vofO8JTGXzzxn9psaMB7/+0PQ5riXr0uvFUwYolZOsv7DcjQvFBffiPRNMmIJvx0rq+WzvXVQgQRneWtRALvEC/2PIcsvIurKFortffv1/3Bftvm5Z8AhJivMQe4VlvxZAAi9H2pe+iQ0FB5E1uS18yV5a/UZkMDctfQQbl35Dhi6CDfUFGEeNYuj05dRHarV58LD8cPnn3Qtqrx/YhjLLHnjv6b3DV4EAm8k+i6qvSOHsPLrD5lYOyUbd2S+4imSwtaOv7Lz9ur4e81D5o/0Js80/GY05dWwpbkNlvXL73f0rxo1H339tv5+oodEEFsRJMzZlIMUenuYvd7bv4hk59ZL/eOHIu9cPw/lL7R44QQwpbkLbdtan6AryvfrkfjU/pMcIAtyV9B52Ys0mdDA6lznU9allTvVgYnzvCLSrdaVzW+V+kbPR575uBX1elAn2Vx9S2AwoyZEIPgClMVv9+cPHZM2X/zTv5O94QxMjpiDARD5hzLQu7W3fy9zoUNLS+IwvS0MfHfvRbXBAFk2zZud10dvaS3R28fGtR7s7JwXn0DvbSnW2vjOjS+uppuWBBIvioMg5hLljFj4TAJcDzk16xht378k5YvBebMGYYxGacTugFEAFPX3sNqGlBTopnMyUH5n/ik9cv9/XpXMKjN3fse4YHcXFzY1aW3iiJJut3IY7MjB7gOgodhIWe3Q6fXS2eMjxvDjzws/qS2lm7avIXdGY2S8IJ1/GsIYUki4tnT6pFdu/l7f/Zg8jstLdpJlgHsLbfy9+TnU8XlFVSNx4N8/X1659SUMf5mfbDZoENRgIwgQGvWMls7O/SLFy5op25YyWwoKMAl7W1ai3mFVThFQ9rnw1mKAuTf/Fr84dZt3K2xKIkceFnZAwgk5RVU7bZt3K17n5Meu3hBO31llpZhAN1qRTaHHbkutWpnm5uZNaJIxKFBva+wCJcVFlKlYL7q4jV4O4zdMIhZUEi19PXqnYVFuHxiwhgdGdb7FRUoxcVUxZKlzEqKBvSyZcya55+TH5flq+sJvZVY2GfFFz4jAIC9uXlUwX33Wz63aTO7c1kzsyYrC+dKEhFDIXMuEjaDmVk4T9eBPjtrTldUUovWrGO3YQx73oiMfccSPKaiJiHGDJOZUaMHQ8NUWloh7fNVsgX5zdhmTb+snP+/+F+8E4EwooUMWz6iMUuvLHAaii5iBvOcW8gwVEPq+eW5fwZXWZDOtyrnUhIRB0eVQUMHemMdOzwXMObau9WruhldpV1s9Qm5GXXeckeurcRV5KhCGFETZ/wvAwCe/HPHkQrKs4xA/yE+K01UbM59V2Aw1klzFE9zWJDjatSeIeQNHpneM9MdadGV/5bOz18MxLI2IqtJbXqux0yJYcbjKsAuRw7RdUUZGD15JVFANF3RQ9ExyDJWU5JjqbNtjwJACFdVsnEh66QfAACASUwzJUb1ueAgX1u+TQ/HxiHGrKlqkh6MXnUxgzQt0LmZter4dCvRdZUtzmuGGNNE1STNH+gj+tX1n7TpuR6usmQ9EjgnAJzLlJQY0XWFzs6ogTTFLuhGQaIbqplIBRDH2iDH2gCF2audk5imia3CQaGp5lamILtJD/aNKgOjJ4Xm+juNRDJgROKv02wgipI0Esk5fS40QGelVykDo8fZkvwVlNddBAA4CgAA2GHL0OaCA7EXjnyL9nlK6az0KsrrLmILc5cs2OICddx/CVmFNGQV0vRAaFgd97cBCJCZEkN0dkYNWSDckE3wYJvFy5bkr9AmZzrpLF8Vv6hiGzFN3UyJr4smmSkpbIpSxHHT+i9Lbb3Py73DR5i8zDqAEQbktVlxRDcUOju9yhSlKNANjeiGSowFguevO0dvGyy85F2yWNDg88/Jj6/fwO5oaKCbPV7kUxQir7iBWR+JmqHpKWP8xRfkP509ox6dmzWnVZX8jxdVvhK6YsiB/mibr9q9JL3ClfBVuuyeMuciU39n2sObiipCjJ/WpgPd1tWN7+cXlW4RGitvVkemWuTuocOaP9ALaZoHAIDEobM/S5669HttarYTWXgHW5pXZ9vQ/FHIMlZm9eIPAASRMjp9kcnLXERnpJWpo9MX4y8e/646PtN21bZFORbbe/RbkKE5tjB7ibswezFECEOetUEI0XyJl6+GTncV0nkZddjKu5MnWn8ntnQ/hewWr626ZAO/qHQrk5NRYyZSwdieI99MnWl/FAAArCsb32vbsPR+tiR3+Xx2jhyzrVtyH1uYs1jqHHhZ7h87SWWmlSGOtbJFOUsBAcSUlVc2bEjgnIhn7YAQ0xSVGOJZO19fvsO6qum9TH5mPeI5B1E1ieiGai5YZEOM6AW9obcc+kywP/yHFz6n+QO9QmPlTtu6JR+G1GvE4KEpylEkcM7Uuc4/KQNjJ4imq/yi8q2QolgzkZwjunFdz52FMts2yNB9SOAcTLavxr55+Secu9b/CzFMTR2dblWnZrsSB848SHlc+dgqVCYOn/u51Nb3ojbmb0MOq88IRsewy5GNbYIHQISsa5s+SPvSSpmcjFq2OHeZNhPsSx5teSh1ruMJI3Xtkvi/1zwQ3dCxw/obymXLEhZX73LetOYfiUEMJLAOiDFFDFPHTmuGbWPzA9hhzWAKshqV3pGjicPnf04UTRSW1NzG15RsYkvzlgMIoXi24/HEkfO/1OeJ0PXOW9b/M3Y7cmyrmz4AWVpgS/OWs/mZDUY04U+euvR7KHAOtjhniXVFwzpIU5wpK6/L4JEkkjpzSj1y4038ux/+jfij2RljevkN7LriYlxx6KDy/HPPyY/feTd/3/s/aPmULwN/LTBnzlyvThrLQRaQeSvzq/1fVYmSTJHE9LQ28cV/jN/vcqG0xiZ6hSBA4YnHxF/PzZn+zCycSzOAeSOBZAAA0FSgqgqRGQay7e1ay09/kvp2fT3dXFFJ1Xo8KJ0Ak9DUtUkiVSVKIk5iObm44KknpYeDAXO2vpFeZncg56lT6qHMTJzL0ICx2aBDEN48ewQAAFgWsDY7cqaSJJGIm7EtW9ldy1ew67JzcIEk6aLNBp3gCoJH14leu4h+ee06ZpvVhmybt7C31NXRi3UDGMPDel8ibsaHh40+lwuleTwoHVyFKLkMioLUbbfz5T4fytq2ndt96pRyyGqDjp5uvS0QMGdLSqgqVQPKlZbjpknMVMpMUhSg1qxltxYW4TLTBObadey2vXvkx1bcwG5wOmHawQPK3qv9FggBJjEJcTigK91HZSIEKNMEJk0DmmEgs2o1sxkAcOjK770dxg4AAFNTxlhHh3Zh0SJ68Y9/mPxGTi4uWL6CWWe3Iedvf5P6kceDfbfu5u697V38+2029PtEwryqK9jVIAhIUFWi6n/hWj8xro8uWco8un4Ds6OxiV7e16t39PZo7SwLubJyqlaWifiNr8U/63KhtG9+y/HzZcvo1b/+Ffg+AFcXdgbgnUzwJFMBAAARu3r2xo4c+0/K5cqnHPYsqUeKUi5nLmLY/yV4/hfvWBAAiKkbGuvmfYaspSCgBDZNyAAAQMRS/LW+d8s2y67hMW1o/xFx/8UOuZVlYNfnHnB9Hs/Xrj79Zu26ix3VOcsyNiIK0bZsa6E1XciBGGJbliX/vzsWVdSSEMGXZjrD592F9kqrl8uECCIxrAR69008KsXUv2s5IxJ4B9F1hcnLrKOz0qukjv6XEM85iGHoRNNel1FECCFCQ9W05g/0Sp39+7DDlinUV96IrEIaU5izBGJ0aN7KlBBTlKPqyNR5PRAZERqrbzFlJQ7jiVlyRdTtFWBEYavgAbquEE2X9bnQIORYG6PrClE16Uqh38sw4slZdXz6kjYXGqIzvGWUL63EiCb8SOCcaD7VXQEQAoAglvtGjgFACJPtq6GzvJUAXr2OnaiapM0E+wHGtB6MjHHlRatpn6dU7h06Ys5nMb72eN3QTEmJ0zkZtcrA6Em+tnwbRAhjm9X7yrVmGYsRiU8bkfgUW5i7FFuFNCMSm6QyvZUQQqhH4lPYZc+iPa5CdXTqItF0GdIUiyyCm0pPK1En/e2XyRtIUYwpSv+Xve8Oj6u60z7l9ulFGrVR75J7r2Abm2YbCB0SIAFCspvNpm2y2d3sbpZN9su3KZtdQhqEQCC0hGKqTTHuVbYlW5KtXkdtNH3mtnPP+f6QRFxkbDaAIZ/f59GDn4dbTpk7c8973t/7RiHGvFRZspwRopNIrJ/L8pSwk/xy3m0fpdRx6aIRqmoJMh7tQeJk1LtlmaeXaNFEalQ/3rUts7/pabG2fA0KK14wdcyHOUcfQ0zG4e4DAOwTRSgGcnCeywW9GEMcj9HI4KDV+/8jqXMyMmFtuH/fyJtZNZ55pZfkbUgOZ/qJZmWivck2M0POGif8ccZkSWIzNcOMpAAAIABJREFUROibQmHOTGVB/Q1yXfllyoK66wFlFhmLdJujkS4rlhyiGS0mFObO4nzuIrGicCnn9xTBqXh4xhhAEBldAwcSm3f/NHOodROJxM+qKJ1UBh7EduUOqb58jVRTskrID9RyOf5K7LRlY7vic1214htTzxmjlNiWzLrFtnjWLUiRXIAxavSGDiff3vfLzIFjfzCHx9vf9QDjue9bidSI69rV3+HcjlymSG7sc0+Ugs6qulKeUXE5AGCiDpPnJECpBcw/ESDIYfNDRXIxYhmAWsSxdslf21fMvYuEoz2Zg83PW7HkEAnHerXj3du4bE/pxEkQwfOJ/f7fzNHEYqwXIvQvmYPNLyhzazZKtWWrhGBgBpIlF4AQIqctm4MAKvNqNsqzq67iPM58LstTDDHizLFoDzPM9+X/xSY2PDQAwAi2K4ekurLL5JmVl4vF+fOUBXWfQqJgYxYlRvfgQbE8uFgsLViAbLJHyA/U0bQapZqeBBAioTh3DnY78wADzIrGB9O7jzyR2nX4d3p7355zlcRfyHmw4qlRJPB/nz7Y8pw8o/xyoTBvFp/rr+a8rgLIc6Jt4YwbbQtn3DhR6Q+YWFG4VCjOnwdl0QEx4kk41qs2tr2W3tf0tN7Zv29KQQUReoZEYv3eW6/6oVBasAAAAOUZFesAmEi/9N/zqYen2gB5ToQIcYBYxun+cZQyVl7BNXd1kROBAMpftVq8Ki8fF+3drW9NpVjC50cBgYfCqtXi1TwHhK1b9Vd9PrR9fPzsqkubDdnqZ3DzvvJV+5XRKBsXRfg/05E8mgbUaISOR6N0fOZMfv4ddylfYgywpkbzQEkpV7lmLbdh/gJhmSBAkXsP9c27/YQAzZ7NLywrw9X1M/h5+/YZ21qayZHqGn6my4ncHA/OSvAkUywRCll9+QW4yOtDWV4v8jc1mgc2vag9WVbGVadSLGGzQ7vTCd2KDJVztQWACQ8ehwM6//CM+simF7Tfz1sgLBsKWf3Nx8ghuwM6nS7kBtOQFG0nSPOO7caWez9v+8Z//zR1/69+mf7h+g3yzWsvkzb+5jfpnz79lPrQv/6b47/vvtf2NY8H3R+N0mm9YAsKcNHqNeL6LVv0F198Tn3C5UYetwd5FyxCKzgMeVmBCiHMPP350TSgHjtGDs2dKywRBSD29VpdQ0NW/++fyPyqvJyvvnqDdNPYqDUUi515X56H3P3fdzpsduTgecg/9tv0A6MjdCgvHxcGC3HJxmukW+fNE5YqClQyGXbGd8mF7jsAAJgGM6+4SnqnvJyrqa7lZ11zjXSrqjH1cIO5B0GAXE7odrmQ57bblc/n5+PC+QuEl1uazcPT9QcAABCC0OtF/oWL+JXf/Lb9kt07jbc4Dr58Pj5O7wVdZ5quA+3gfmPn4IDVW1zMlWs603btNN6Mx2jU60NZ1TXcLI4HfE4uzn8vk3EAPsEEj5VORwBjDLtcBVJ52SpzLNxOEslh7ASAmaY6Wb97ERdxBvw+nFVVzdXrOtMOHjQ+lmV2lmqm+15ufZh3Sj6IIdIj6ggWOQUAACydZEjmVF+A2kqxZsPlto3zZ4mzA1lcoKSIL/2Hr3jB9//R78sNcHnROD0vEiWrxjvPFXSUx/tTnb3bB1/WYvo4JdQwMmby3GefHYwyhnkUH2uLNY62skOmbmXYxyRdB0qCg4zH+jKHml/APQMNUnnREqYbKSQIypTfy+mwEqkREo50AwAh0/Sk2nT8FWlm9dWcx1XwrqcBZZRZlsH5PSXynJqNRm/okBWNDyjz6284/aXsXTDGaEaLUt3MMGLpNK1GeFl0QQgR9rsLJ8uTzlxMQwiN/lAjxJjHTls2wJjXO3p3C4V5c6AgKGCiPhoiSXJK1aWXMN3IAMAY5Hl58v+f2RSLGlY0PqjMqdkIOSxasWQIIMTRjBab9gXcoiZT9YQViQ/wudk1ZHS8gxqmihyKH3KYZ8QyGaVEqipZKRTk1COHLctKpEaEwrw5UnXZKnNo9DiX7S1jxDJoKhOeMtKnyfSY0dV/wEqmR61ofICpEzvqNKPGqGFm9M6+fVDgZSSJdhKJD9gWzboF8tOToMwkmhWND5gDw8cgz0uc11UAKKNnmCxznChWlqxglmVAjAUoCc53k7Y+3Dn6WGPypb578u8iJqEljWj3zqHXJI+YhTnEp8NqyMxY6d7dQ6+bKjlr2swnAZPkyBEk8K2pdw4+hL3OfKEob65QEKhDDlsWn5ddg22SGyDEMcsyrVgiZPQPN1rjsX4SjvWSsWi3ORbptmLJEE1mxqfIlnPBSmUiAIBnkSS8imyKF9lkN3bZA1y2t5wP+Mq5bG8JUmTvlNkz1YyU0TfUqDV3vGn0DTWSSGLw9BAGZhIDCfwj5miky7Fqwb18jr8SoHe9aBDkOBEQy2BsQhXBiGWY4WjP1PlIkVxIFGyQw4JQlDdXPdq+OdzS+bYVTYSsVGac6UaaTXrIyTMqisHkhQFCZ/UK+SAwOaYNkOOO4m0HH8IuR46Qn13H52fXYrcjFzttWUiR3VAQFGYSdcLHiFH1UOumKYXL/wZWKhOFEP5BbWrfjJ22LOy0Z3M+VxC7nXnY5wpyWZ5i7LQHoCjYAEY8cih+KAl2Zpiq3jmw3wyNtpr9I0eNwdEWMhbtpqp2Xu8ZF3oeJlW92yHP7cU22YNsshfZFR+X5SnhA/5yLuArx05bNhQFBQqcDCxKzJHxDq21a6ve1rubjMd6qaqfQvwySi0I4a7ww8/f67h0/r1iVfGKP6mxIIQ8FgFlFjupZNwIjbUycuZmUV+v1bV7p/FmcQlX/rtHMw9SCiilzOIFKC5dJqxubTEbGQMgWIhLbrlVueeWW5V77v+eqysSoeHqGm4mRgALAhRNkxm6AbQf/9TFOZ3QnV+Ai9Jplnxzi7YJTCmVT4LAA8Fmhw5Ng2phMS7btUt/a6CfdjPG2MJFwkpqMevgAWP3qtXilQid3SB5CggBVFKKKxsO0t0vvqA9YZrMWL1GvFoQoMgYYGczNgYAgHiMRttPkOb584Vlhw+Ze19/Vfuj3QGdl64Sr0omaTw3FwW9XpSlyNDmcEE3x0EsCEDEGHKZDEudHkUNIYSrVgtujoM8Y4zddIt8dzrNUo/9NvPAXXcrf7t0mbja6YTThpnoOtNzcvBv62fw85YuE1aPjlpDJ46bxxoajD2EMHPuPH5pIsHi198g32m3Q2dlFf/j8bA1ihBEHA94mw3aa2r4WV/+iv2qlhbzSG+v1blgkbCi+Zh5mFJAKyu5Wl6AQn4+LjpxnBxj7NQ0KkNnemcHOW5RYGk60Pr6SFdTk3kwlWRxmw06MmmW8vtxoLCQK+V5GLIsYAkCECfj0NfOXyAsi0bp+Ouvac+Fw3Tk03cqXywv52qPHDb37t9v7li8WLiksoqvBwDs/7j1fQr79xrb1l0uXeN0QNdPfpT6F8tihAEAXC7kCRbiku3b9M0YA27+AmF5eQVXixFAX/uG47DLBd2BHJwvikCCEELTYPoDD7pNQQSix4P8RUW4zO1G3n37jG3gpPJPWUbKfV9U/s7hRK7mY+bhxiPm/tEROpROs+R0KilegPytt8mLsrJQTm4uDt54s/w5Qpg5Hqajc+fyizMZluY4yJsmM4kJTEIAYedIHfvEEjyAUsIoJSQ83mklkiHO7cqXKyvWADgR0Y0EwTZlXHqhm3oRHy+Ul3PVl6+TrjFNZiAE934cY3wZZRYl1LAH3RXuqqx5/ZtP/I5TBAdvF9zjTUM7T/ffyfbjQJYPZ8UTNM5hwBXkcgUIQgQgAMOjZOhQk3ZeHh/EoJqeNGLtm3uezITVYfZnGoshDmFP0F7hLXZU1V9THPAWO6oSoXRP+9uhFwAA/QgjnFPrmS+5Ba9lWHqoKbLXVMlHmiiERNEOAIRiRfEy7HbmMZNogMMCQBBxPk/hhPTaOmW8mWGqSBTsUOBk7HHmy7Oqr8ZuR256aLR16iuXUWohUbDxedk12OPKFxHCmVhiaEISP/1njplEJdH4IJ+XXWPFk8NWJNZvxZIhczjcJlUUr0g67NkAgJ6Tz4EIIfuK+XZAAZVqSi5hADC9o28PdjvzJsiGU7xyCBmP9vE5WVWQ5yRmmBkki85pBwYCBAVeIpF4v97es1Mozp+PJNFBM9q0CwJmWYRqeorPzapRWzvfhhwWhNysaiM02go5TgQAmFY8OcwMU2Um0clYpMvoCx3h/N4Sq6NvT/ylt+6nJtEAYwywCRHb1L+nWxRakfgA53LkiCUF861YImSORbqkiuLlQmHeHOxy5IBpSAjIYYmMRbpoRosLBe4gzWhxKAo2wE7deUE2eUKxwwAjkXg/djtzwaQJ+4c9RxfxycMkWd0pOYWf5M70LZa9UvZoS6Qh1pfq+Et5B6GGqYOJz3UPRGgPmDDih2Bi7fOuUS8DgE08t5PPL2X0zxkDqhlpAEAaTOyMH4UIvQ0QRBMmwRBOJbgwABiglAKLkve636RZ9BattWsrnDIaBgAADvOcy5FrJVKjzCTvluWevKCmyfQYzWhxCCFyrF74ebGiaKneNXDAiiVCTNUTzKKm87LFDAAAlDnV1RMnUev9qmT+t5gktPoBAP0QoQYAJ8cJnjpHf+obJaf/tr3ve06M9ZSfRCdEcO/kfeHUfyE4NWVnYhE28dkAjFrvd7Pn4zIPk+qbkck/ABHafbYxZ5TRyXXLWd+pJsfyKOTw1+HJZBSCGLscOcww03SidG1KvWYxYp2xmWAYzFi+Qtx51+eUL//hWfAogADMXyAslxVoc7mQZ8FCYUUmw9K//Hn6/+bm4eDNt8h319Zxs3ftNN7q7ibt8+cLS3t6rI6+XtIVjdLwiePkWCLBYpetFTdccaV0vcMJp31nEAQoOhzQ2dVBj//8gfR/lJbiqvXXSLdccYX0KY6D3PHjZlNFJVcHIUDgHItTAACwLGBt2ay/8PCv0z9Zc5m4fvUaaX08zqKdHeR4eQVX43Yjz9nONU1mXr1BPpJM0YSiQNuSpcKq666XP5NOs1QkQsOaxjLjYTqSXcvNuv4G+c7aGn6WPwvlyDJUNr2oPokQ3HHy2gAhAN0e5AMAgBtuVO7a9o7++v59xvbrrpc+s3iJcKkkAtk54eUzLYaHrdDMWfz37/+e88Fbb1XuCYWsfp4H/P795o7BQau3vY00R8bpaEEQF//HD5y/am8nLYAB5vWhrHicRpMJFt+8WXtBy7D0579o+2bjEXP/MQYadJ2pgRycP3s2vyi/ABdNqFhOLVMihJHFS8S2dIomS0pwxZtbtE2jY3SooAAXv/6a9lxlJVd3zXXSbd/6B/sP3tisv6BmWMafhQJ19fycVIoln34y8/C118m33/dF298pCrTn5OLg0SbzQFOjefDwIWOvxwN9t90u31ddzWcGBqzeTObUtLUL2fcpJJIs3t5GWhYsFFbs3m287fejwOw5/CJDZ7rHg/yr14jr9+83djz6SPp/5i8Qlq3fKN0SLOJKd+3Q34xF6XhVNTfjyGFzX2ScjvX3W91dXaQNIYg++znly04ndAs8PEUdKElAXr9RvrmkBFcQAsjwkDW4c4fxxp7dxtZgIXcgNGj1nkwi2m3QufIScd2+vca2f/mnxJcABHDWLH5BIIDz/VkoIAhQCIetEUWGNtNkxkC/1cOmKUc7GZ9cggcAwAjR9P6BBiuTifB+X7k+GGrkHPZsWFK8FPK8DDgsgI+p7P0iLgxqavgZtbVcoWIDNrcLB7/zHccPa6r5RzSdaYsXCysFAYpOJ3SPjNDQ/v3Gzp4e0un1Iu+sWfwCpwO57HbkHAtbIw0N5l7DYPrateJ6ux05FQXaTIMZTUfNhgMHjN2SBMWZM/n5WX4ccLuRN52hqWPHzMMdHeTEuVsJABY5OXdFybXOEl+96JMDcra9ACKIeYfoERyiBwAwdvLxre1GC2WMBvP4ArcLeeIJGpdEKGo60zu6zfYjzcZ5xZwzQomZJonCJbmXGykznj8vMA4x5EyVpEaOhve9n7HmRCxVrsnfWLo858pQU2SvM1cpLF2Wc0XfwbFtjpxYA+JQyOYTAwvuqPz6wKHwDleBrdQRUIKYR09Y5tkNFj9oIJvs4bI8xWQ80mMODB8FjFG9d/AQU7W4UJw/D+5rfAqcVFcNIYTyjKoCZJM9UnnRUqrqCb2jd7dYVXoJS2uxdxfrlBIki04uN6taa+18W2/t3IrdzjwAzp5awnQjrTW3vyGWFS6maTVCVT3O+aQicyTcLs+ovNyxZslfcR7Xf1nJdBhQSiZ3MOu4bF855DlR7xk4QEbGO7hsXxnkOJFm1CjVjHd3CpmqxSEAgISjPdhhy4IcFvCE8eQZgAhz2GHL5ryuIHHYssnIeIdQlD8XTLNjONlfk2l6Uh8aO46d9iw+4KtEdpsfcpwwtXNqxRJDWnvPDqYbaRKO9XI+dxEZGW/n87JqxIri5dqJ7u1M15Onv/BDnheRKNiYYWSmPJGsaGLQiidHoCw5OYGXxfKipdjrDkKBk043ngQAAIgRdl69KoB4ThLLi5aQsUg3gBAyemZMOrLb/IAxSkbGO7iAr1wozJ09Ze78Yc/Rxw0IQSQIQMAc5DgMOIQBxggiCAFCCCCOB7zDgVxuN/S6XMjjciOv0wldDgd0ORzI5XBAFwOAbX1Lf/W1V7U/Xuj+fFjAPOLz52bNDdR5F2ABS+6gvTzSnWgVncKresL4xJgsnw8mF6kfSKrIhbj35EL69O8IDZzmn3E6yHisL/Hm3p/ZFs64kc/PruOyvaV8fnYNANPHBFPDVGlai1rx5Mif097/DS7UHE1+d3+o6Xkf13n4oMZ8krQ5nbjpfD/XaGsjzaIApZ/+j+uJpkbzQNsJ0tzXZ3XNnMnPd3uQz6KUzl/AL6MU0FDI6nt5k/Z0PE6jV14t3dDVSU789pHM/xQU4OKmJvOgw4GcHg/0t7eT1oWLaJhSOC05w/NAsCnIzgBgpWW46tOfUb7IcZDfucN4o7AIlx07Rg4jBHEggPPOh/OFEEBZhsoll4pX3HSLck9fL+no7LCOu1zQAwAAZ1PMTGHfXn3bUEge+Ozdyt9m0izV3EwOv7FZezGRZPGVK4V1Xh/KjsdY9MqrpBs2bAS3ZDIsjTHEogik1hbSCE4yx4cQQLcLeRljLDxOR6NROn7tp+RPU4tZjUfM/YsWCSsdDvieHk8tzaTxJz9K/cvf/6Pj/5ZXcLVPPJ75RSxGI8ECXHLiBDlWUcnVQohQf5/VfbyVNNbXc/MONZh7XnpRfWpsjA7zPBRuuln+7FDI6m9tIY12O3Teertyn02BtlicRjAGnCRBGU2TLtbXSzqPHydNoghlYgFyz722r734gvp7CAB48039pdlz+cXZWTjn81+w/d3kNdCWzdqLr76iPUstYL31hv6SJEPZn4UCq1YjL4IASRKQR0fp0K4dxptf+4b9/rJyriqVYslolI7fcquy9fnn1MenSvkuZN8BAIBawGpqNA/ecKN8Z7DQVXL0qNnQ3kaa1QzLlJZxVaIIJb8fZ8+eIyxyu5F39y7jrZc3aU/7/Siw7grp2tde0/7YcMDc5XBA17Gj5FBePg7KMlSOHTMPzZsvLDtDTQMBwAhgjCEHIUOBHJx3863y3es3SDd1d5P21hbSeNfnbEdjMRp1u6DnO//qWFhczFX84sHUDxYtES697lPypwMBlNfTY3UwBhhCAI2MwNC8efySgiAueeQ3mf8+PTHsdHyiCR6IOdG5bPF9VNXiJBbrxw57NoAQQYGXIc/LEHMXCZ6LOAVqhqVdLuSxCCCZDEv19VldyRRLUsqsjnZynFJgXbpKvGL+fH6paTJDkuDgmjXSqvnz+CUAAKAbQC8rx9WMAbp7l/HOwIDVS4hllpdz1YsXC5e4XMgjSfBQcRFXtn69fCMxmWkSYCKIUU4OzgcAnBfBg3gsOst8M/WoOpIZSfYyBhgncrKj2FsbbRk9g2gZGSOjGMPw/FlsfiCLC+w7pO1LpGjCYUMOnxf57RMmcud8FlIjmX5fhXuGp8RV4ww6yhlllpEy4mPNkYNgwofjDGAOcQACSAk7Zec0q8I1I1DrmacnzbjkEryyR8iSPWK2aOddikfMwhwUiE41alFztC12RHTxnoK5/hWhpvE9YBr574cFKAo2s3+4ST1y/GUAAIMCL/MBf6Xa3PGWfdncO/i87FpwUt+5nKxK2/J5d2GvO0gzWgwyZkGBV5Ak2KmqxgB7d3eNMMooTaRGzIHho2JVyQrIYQlyWDhbNC2jlHJe9x4SjvYoC2ferB1r20I1LY7djlyIMW9fOucOPjerWjve+Q5NpEe5bG+ZPKv6akAZ1Vo73zIHR5oBRrx69MTrtkWzbyXxRIhpk6lODDCAEc9l+8ogz8vmaLid6WZ6UkWCmWWd+mMxoeCR1aYTr5HxWB+X7SujGS0Gprw1zmy7RXUjDWXRwVQtQcai3VAS7RAjbmqnnOlGSm08/gqfl13LTKIZXf37kMOWJZYHFzvWLvtbPj+n3hwePS7PrNIgz0sAMAAoo/ZlcwNiZcmKzMGjfwQAvAjARImWerTtdfuK+Z9Tm068imyy1+gfaqSqlpBqyy9DitxBM38y6uQC/grO6wpa8dQIo9RCDlsW1fQUkiV0Rky6IrmseHIYQACQInsgx4nvEjwf5hx9TCBKUMzPw4XZAZy3YaOUV1SMy/1+FOAFyGdnozyvF/klCcqSDGVBgJI4IW3HCANMCCMIQaSqLBON0nBxMS5HCOLJ5+IvkuDhBCzmzvIvLl6ae0VWlXv2cHPkALWY5S6wl+fUeRcCAN640G28iD8fjFgE8tyT6qHWTcihZE36r1RNfTdMB3N4rM2KJYc+ynb+pePiPJwb42E6+utfpX/0T//s+FFhIVc6FU+9cJGw4g/PqI80NBh7+nqtrhtulO9obyetpWVc9aLF/MrmZnJkKGT1rd8o3fzmFn1TaSlXeednlb95eZP2tN0OnS438ogikKa75xThL0lQsdmgIxSi/Q4HdLW0kCOvvqI9GyzEpRs2SrdQCqhFwTk38SYJHtvu3cbb4TAdKSzCZcEgLonHWNQ0meFwovckeMJjdPSOu5Rn/uk7zh8dPKDvevKJzK/y8nHRDVdI1/E84B99JPM/qRRN3H2P7asZlaWbGs0Dl60VN2YHcK484ctzCsHjckOPrgGt4aCxOy8fF257R3/9na36a3Pm8IvnzxeWTcaFnxWEMMLx8M0Hfpr+9y/+te1bdXX8nN4eq0OUoHTtdfLtLc3mkWefUR/xZ6FAVTU/Y9OL2pOhQasvFmOR7ADKXbJEXLVqjXh1bw/p0HWmzprNL4zHaGSgn3UvWMgvlyQoBQI4TxCgCAA4xT9yZISG9u4x3vnMncpf//WXbN8eGLB6B/qtnrExOlyqMe2/f5L67qEGc0/9DG7emsvE9RWVfG1nu9W6YIGwfMtm7YXfPZZ58LrrpU+vu1y8tqOdtOTkooKFi4VL6mcIc0vLcbWqsnRrK2maNZtfWFyMy3NzccGuncZbYFLNfCH7DsCEN5XNhvY++UTm13fcpfx12wlybP9eY7vbg3ydHaT1wH5zx57d+lZZhvKNN8mfa2sjzes3SjfnBHB+Y6O5X1GQbe48fuk7b+uvXrpavHLNGnH9Y49mfpafj4tsCrRzZzENj0Xp+MGDxq7hITpQU8vNjkbpOIQA5BfgoroZ/Nz8fFwoSUARRSj19FjttfX8nOpqboamAXX7NmPL8LA10NtjdbQ0m41Z2Thn8WLhkp4eq33PbmPr6WWEp+MTTfAAjHhzdOyEMTjUhJ32gN7btx8AAJDN5j/5hfwiLmIKQ8PW4NgoHa6qBPWaxtS33tJfGRuzhiEEoKaan7lokbDc50PZQ0PWgCBA0W5HDqcDugQBiskkiz/6WPrnGANMCCC6wbR0mqXWrpU2BLJRbixKI8kkjQcCOFdRoE2WgGxgiF94Wn0qFLL6zrXbcBqgmdSjlFDT0okm+215crY9aOkkYxlk2rQpy2L0yjU27+wZ4pzmNqNlZIyMlhbxuVeutl3R2WN2gcmF8XsBcYhnFFBbtlIQ6Yw1a3EjbGlEzUS00emOr1ydf+2av59zOeYgP9wabcA8esgyqYk5xC25r2aDGtXD7qC9zF/mrMuucs8Ot8ebTJWkFK+YhTDiiGFpU+lZocbxPbyEFXuWnA8+SoKHxyIDDFiJ1Agf8FdIdeVryViki8ZSIWRTvO5r1vyzVFP2n2RkvEMoKZjv/fTGvxJLg4syh1teMENjx/Wu3r00nhp2XnXp31tpNfonBc+EtwuUJadQnD8fu5w5VNNTUOAVcHJpwGkgkdiAMqvml66Nq78DOcxzbmceoJQYA8NHsV3x8wF/BbLJXmYSTW/r2Zk5cPRZmtHikOckLttXBhijSJZcfI6/MrXjwMOM0qmiMYYEQUEFOfWZwy2bkCQ69c6+vVyOv3Ii2QmMn9IQxiwro8bAREoHY7qeRKJghxye3qiSMgoI0aW6yrVU1RIkHO0BhqkCjLip/jLKGOf3tAjB3FlmX+gIctlz0AT1BMzQaItQkj/PtmT2bXpn317scuSaQ6OtJBztoWk1AjkkYI8zf6r0ljHGIIf3cVneUnlW9XqayoRpMhOGGPO2pXM/AwVekWdV70OCoCCb7JXrK2Wq6gmm60krlhzic7OqhIJAvTky3nF6ihayyV4o8DKURKcZGmmWakpXAf5P/f7w5ujCASEIPR7oX7hYWPmdf3auqZ/Bzc3PnzCoTKdZ0maDjsd+m3nAZkN2QYBCbh4ORiM0vO0d/bWrr5ZuHBmxhpwu5B4KWf3xGIsMDFi9297RX//GN+3/DiCEiST7i1KxnAxblpwbXBhYLTp4z4kt/c8kBlJdvnJXneKTcvLmZC0Hn0CCx4MDK7K5wmsRQILO1OEQ6XxUo+mBD+LaECKcjYO7ximfAAAgAElEQVTXeHHOKgAAS9P4iSHS/XuT6RfUcP98MFmWY4CJFMv3/TvlRL45OVzxLRhyisn0SIh0PZahifelzuCg4PTg7BVO5JsbtUZ3Rqyhre+3HZ90/Lnz8JcOy2KU5+Hbf//NxL233qZ8/hvftH/v7Tf1l59+Sn14dMQaIhYgt9wi37PyEvGKUMjqd7ugB3OQKyvjqojJjMcezTyIMcRV1dyMZJLFS8twVW4eDlKLWYIAhWlvOlGLB2fN5hfc/z3Xg3Y7dLz+mva8oTN9SvGpqSyjaUw1jWl86s68HvR4oX/BQn5Fbg4uOH6cNL2xWX9x3nx+yeKlwqXOcyhmAADgzS36i2suM9YvWSJcmpOD8ru6yIlXX9aePbDf2OH1oayvft3+3cYj5v6eHtIxf4GwbHKTVjk9gh1CgFwu5EEYoBkz+HmbX9eeM01mXn+DfKfbg3wIATRJLrwniMmIIMAXRBGIX/yS/dv9/Vb3lte153t7rI6eHtJRWIjLMmmWeuSh9H+Fw3Skrp6bYxJgzprFL1BVln77Lf3lI4eNfXPnCUs1jambX1ef8/lQoLgYlw8OWL25eSgoSvAMAs6yGC2v4J675jrpdkVGtp/+OPWvhw6ZexcuElZcukq88p2t+qvhsDV6+DDbu2attN5mg3aXB3qfeUp9uKOdtK5dJ11zx522L0kykLu7WJtUAuVFi4WV4TE68tijmZ9ddbV0gyJD2w9/kPzHqzfINwWDqMQwTzXivlB9n0I6TdOyjH4xNkaHr71Ovv3vvuX4/uuvac/9149T/5pMsgRjgP7nj1yPBAtxSW4eLuA4IAAAWG0dN2f7Nn3zq69ozxYEcYnfjwKRCA2vu1y81ulEboQBRvhM5RAhzHzpJe3pPz6rPpqfjwpff0177miT2SDLUKmp42avWi1elZcrBQGAoKWZHNm7x9h67Kh5aNML2hN9vVaXpjHVZoOO3DwUnDdfWLLxWul2jwf6f/ZA+vs9PaT9XJ+1TzbBAwAww+OdyGHPRjabH5tEY7qeZJo29SJ51lKIi/j/F7wARIsCS9OY2tdHegQB8ldcLl1XXc3NiMVoNDRkDdTW8LMoBdQwmLFnr/GOx4N8dXX87G990/HvDQ3mnh079bfq6vjZGzdINycSNNbSQhqLinFZRQVXu3mLvqmjk5w42GDuWbBAWPaFL9i+fuIEad6xXX9DFKF4tojJk0EyZmJ4d+/LhVdW3cUYsCzVTKcG4h3qcLJXC2fOugtVWSpUChzkDYMZAACQTNGkJEF5cJic14s5J2EFcpDv2Nzz5FDj2C5qUhNCCKlFp5UC5s/xL/eVOGqwgER7tpw/dCyyHwDQ4C60lwsKb/eVOmsc2XJBPJTuSQyle+ODmR4sIFF2C1kAAQgswLCApbxZvqVEI5nUmBbCPPpIiVmq6gkIABBLg4ugIMh6e+9OPsdfJc4r/FR6X+OTnN9T7Nqw+p+wyxGAEGKqG+n0gaZntGPtW6xYcghixEm15ZdhtyPXHBxpfre8CEEMAKPmwPAxoaRgPhIEG8SIx0574L0IHgAA0Fo73+Zys6psC2bcpLf37rISqVHO7y0mseQQiMb7aWaCQCGj4x2MEN22eM7tkOckc3D4mNEXOsx53cHU7kOPGf1D70YRMzAhVQeankSy5AbEMrDXGcQ2xYfsih+cTvBAiCBEiGpaDEmCHXtdQarpifcwsGeMMsscDXcAQk2aTI2aup5CsuQE6E+KJSuWGGImUV3Xrf1u8u09D04UTDBKM1qManrSHBo7jh22bHNg+KjRO9hgxVMjyCZ7jJ7QIUAsY1L9NKGSIpaJZOl5ZFe8YnHBfK2jZze0yW7Q0buHD/grAIQIMEbVwy0vIkV2Y7czj2pGivO5g3x+oF4oCS4gY9Guk8vmIEIw669u82KPq0AsDS4EADBGLAPJ0im+Ax/GHF0oKApSVqwUVnz2c7Yv18/k5jEGmCBAcXjYGrTZoeOF59THV60Rr47F6HgsRiOtrVZTyRg30tNN2sdG6XA4TEdfeUl7uqKSqzMJMFNJGu/tsToTCRoLh+loX5/V1dFGWi50Pz8sIA7yzlylKDWmhk682vsEMSyNAQCKA0pQ8fBZ57zAxxBO5J2jQHupStO9CnSUulH2MgDA0x/EtSGA2IWyFotQztVout+NsxbHaXg/AODAB3H9jzPsyF1vQ64qlaZ6RKjk+nDOGnCe5TcIIs4O3XVVwrwvilApkJG9REGOMgjhttNViBdxEabJCABgr8eD2nLzcHDpMmH1/d9zPtjTQzp2bNM3GybT//Cs+tvaOm7222+aL7W2mk15+bhw725jqyhBmVFG3W7kzaRp6rK10kZCmPnaK9ofGo+Y0z+nE3UqzGZDjqYj+oE9e4ytoZDVn0qyhKqydE+31Z5I0JjDgVyqys5pPo8ggEuWiJfW1PAzh4eswVVrxKtdbuTxeVGW3Qad51LwAADA8AgN/ej/Jv/pb7/m+NfiYlyuKMi2bLmwZukyYXVRMS4fHaVDkQgdMw1gvLxJe7qqiqs3TabT08pfIATQ7UZeQYBiWTlXfeddyt+kUizx7DPqI93dpH3xYuESngfTE1+nwTCYIYrwGcMAxu2fUb4QDOKSTS+qTxo60/t6rU4ILdjXZ3XV1XNzV60Wr37mafU3W9/WXzEMpisKtF97nXz7xmukW//P95PfkmVoW7tO3HjksLnP7UG+/HxcJAhgWqKpt8fqfPYp9Tefvcf2lfUbpZsXLxVWrd8g3+TPQjlDQ1Z/JELDd31W+ZuqGm7ms89kfvvOVuM1ngf8vffZvrFqtXjVrp36m+PjdGzlJeK6wQHaSwgzuzpJ27x5/FJFgbYXnlefaD5mHrrrs7a/MU1gpNPsjNLzC9X3KagqVTkOPrtvr7GtqBiXX7ZW2nDbp5X7Duw3duzfZ+xobTWb2ttJy6xZ/IKnnsw8xPNQIBYgB/cbO/PzcWE0Qsdy81DQshhZd4V43dFGcvCx32YeGBulw6fciAEGIUSXXCpcMWcuv7jlmHk4FmPRefP5ZakUS2AMOE0FmXe26q8dOmTuGei3ugkBls0G7XPn8UtvuVW+t6iEqwhko1xJhsqkogw89fvMr//wjPqIobPprRJOwieW4GGUEmBZplhYMF890f4WTaXGxKLChZzXU8Rn+Su0jq7tgH10Ph4X8ckApYCaJjAUGSoYQZyXxxU4HFCbM5dfrMjIduKEfiw8TsfqavlZkgxljgNcTw/pcrvRQ7W1/MwVy4W1FZW4tqxMqYrFaCQYxMUNDXTPkSPG/mChXII5yCkKtPX10W5RhE+2tppN8+YKS8rKuKobb5TvxM+BxwEA50zuosQiWOL3Agigu8I/B0u8kh6ItSc6x5tI5ux+HckUTQaycM6lS+VLVi6We1cvV/LaOs22jm6z43zGx0ybSWYxa+xE9LAW0yMIIyzYeReeSHM44we5v2FsW6DGPZfolmrzS7nZVe45AIAGX6mz1uYXcyQH72aUWQcebfvPwgXZqxWfmD14JLYzUO2eizDiiE604ebIAV7h7bn13oXDrbEGSs6MuP5QQanFF+TUa+29O82BoaNCcf48ZlGS2n7gYaM3dIjze4qV+TNuwE5btjEwcpRm1DhgzBLLCpegOts6YFFTCObMTO0+/DtzaLR16rJIEBTAACNjkW4AAMMue85k6ZD7XOpCahgqEvgHzYHho/Ks6vXY5cihqcw453UFkcPmZybRaUaLcVneUiGYO9PoGTigd/TuwW5nPva6g8bgSIvW2vX2VAQrABNsN8SIAzwnkrFIF9OMFJftK4M5fCWSpDPTKCBESBLsVNOTjFgmM4hGIrF+bFO8ECPMTif9IIAQIw4JvKx1dx8EAAKpuvRSmlFjJxNak6TMI8wkulgSXEjCke7x3z53H+d25tgvXXgf5DgRQAhJONpjjox3iFUlKzmXI5fL8VeqjcdfAfBU4p6qWhLJ0sM0nYlyXneQqVrSHBw5aiXT48CyTKNv6AgAjGGnI6C1dLzFDDNDVS2OPa4CiBGHXPYcOKHOmYirFXgFcJxojUd7zdHxDppIjWG3Mx+Jov1k4/4PY44uBOx2ZP/0HfJ9d99j+xrCAGEE8ZYt2oumAYy6em7Orp3GWy4X8mzfZmyurOTrZRkqdjtyZDIs9dST6kP/+B3HD1tazCMcD3nLAuTgAWPn2nXSNY2N5oGiIq4sNWFu2Hz4sPm+PLw+STAzJJUeU0PuAnvZrFsr/sbSLFXyiFlEJyq1cU530F7KiZyiRvWx9Lj6kfux/G+hIGd5kkaO8FD0i1DO/SCvjSDkbchZFafh/TboruOh8H4Urp9YMMAsBdlLUzTWjAFWRGgLns95ApR8uVzpej/Ou1KBznKVpXtNpocx4OwQQAQukCfSRXz8MRk9HREE2NrXa3Vdf6N853/8wPXrWJxGEIIoFqXjyaSeCOTg/MJCXJqbKxdoGlOrqrkZl10mbhAEKDY1mQefelL99RtbtE2ays4ogQFg4v2aEGAqCrAvXymuXb5SXAvAxBYOIROKHVGE0v59xvbRUevc5XKTv/V7dhtbMxmW9niRXxCgIObCIEQASe+h1ni3TRNlLA25ufgLV1wlXX/lVdL1q9eI60URSpQCqqo0/dab+svhMB1dfZm43ulCnmiEjus6O0UpD+GEybKuM800mcELUPD5YfY9n7d9XZahYprMTCTYeSsQdZ3pCMFnenpIx+2fVu77wQ9dD/d2k47jx0lT4xFzP8IQbdgo3fzGFv3FVIolC4K4pLSUq5ozl1+09nLxWggAvOfztq8XFnKlgRyUl06zlM+HsvbuMd7RNTCtyt80melwol+nUixx1Xrppg0b+VtcbuSllNFrrpVuu/Jq6YaCAlzc1kaa8wu4oq9+XfhuMIhLurtI288fTP+fHdv0LaYJzBdf0H5/973KV9euk64JBnGJYoOOY0dJw7orpGuvuVa+ra6em9PUaB40jelJiAvR95NBCCMAgBAAIOT1ouaN18q3bdgo3fLZzyl/OzJCQy438uzdrb+jKNDmcCBXfgEuLi/H1RhDvGSpsHrOXH6xoTN9+3Zjy+OPZX5+qOHMNGZVZZnfP5H5ZXU1NyMnFxesWCmuMwymHz5k7h0fp2N19fxcRYG2ri5y4vIrpOswBnh8nI51d1vtaoamU2mWpBaz8gsmSKvxcTr6xO/UX/7mofRPkkl6XmmDn1iCx4onQolde38hFgUXKjPrr6WanmC6ntJ7evdmjrW8pPf27aea/rE1rvykASHMCbw9B2PRYVEjpeuJ0FSU6CcJpsnMmTOFzvFxOub1Iv+3vmX/3gMPpP6jo8M6npcLCubOFRZrGtM4DvDBIC5euFBYccstiufTtyvZoZDVb7Mhm9MBXcPDdLCn1+r0+XCW24N8N96o3MkYYG4Xci9aKCxfs0Yq/MpX7Es7Oqzjdjty+nwoKxSy+kXx3D9IU6AG0VI90VbRJWc5y3wz3FVZcxmhhFeEuHlaTPoUWjuM41k+nG23Iceq5cpqQhg50WmesCx2XnNly1by3UXOyoVfmPVvK761IH3pPy+yW7qlpcNaCABw/+nHDx4O78yb6VviL3PWmipJewrt5ZhHfNW6Aim33rto9ET8CKWAGhmSMlWSzoyDEaJbKgOAQTghm7BMZvhy5CBEEPlLnXVDRyNnRC1+qGCMWvHUCFW1pH3lgrux112IbbKHaXqC87kLuWx/uRkaaTGHYCv2uoKcTfZCjDgyOt7BQiPNfF6gLrl13y8yDc3Pn0KoyJITCrwilgYXSvWV65AsOvX2nl1clq/sdDXIdJg0E34DSeIezucuFEqDi6SastW8IrmsWCLEB3wVJIy69Z7BBs5lDyjz6q/TO/v2qYdbNpGxSNfpBAwUeAW7HDnY7cxDAi8jRfZQ09QAxjycMKQ/FRBCwPOykB+oZ4xRMhxuA4To2OPKR5LkBBPS+D8djhAHMBZIONaHXY4cwBjVWjreEkoK5gNwJikDOe4R7HbmiuWFS11XrvwGo8yCPC8bXf37rFQ6DCFEQmHebKmieDlSJJd6tG2zeqT1pTOIpcnrIUn8o1CcP3eitGvsOKCUMM1ISzOrrtTburerze1vYKct233dun+z0mqUz82qNvqHj2K74oOYe5dwg6JgR7LoFIK5s7DXXaid6HoHQAABRvzpmtAPeo4+akgSlG68Wf7MX33J/g+MAfbHZ9VHi4txuZph6a4uq62sAlerGZa22aFzfJyOtY2YzfMXCMsoZVRRkL3tBGl+4Tn1cY8H+SEE0OvjsxoOmrv9WSgnNEj7cnJRQX4BLkq9yRLDQ9YHUt7zcYTkFn2OXFvRQMPYdn+5q87IkBTRSEaN6mOBWu/88jXB6yWn4Bk9Hj0MAHj2o24fhBD6cf6VTuSbT4GVwYCz25G7vs88/kCUjmyfTv1BgaUbTB3TWGbABlzVGGL5A2wSo4waGZrsIMxMIIB4CNB57X5/0sGApZvMiGdYokOE2TnnGlceip4yYda/zJFWLbCApTJADZMZEQAYE6CcozN1CJxHItFFXIRhMAMhuKmhwdhdUICLKyq42mAhLvH6cNYlq8QrPB7kc7mQFwAA0mmW1DSWee457XdHDpl7jxw29g0P08H38v0YC9ORrW/rr3k80NvaQhp7uq2OkRErlE6xJLGAyShjEEEUj9HIyDAdfK+2qirL9HRb7X4/C7g9yCuKTIIAgPCYNUIpoIoCbUcOm+f9rjg0ZA1yHHxwy+va88UlXEX9DG5eRSVXm52Fc/PzcVFRMVcuiUDq7ibtB/abO5JJdoovnmEA/f7vJr5qt0OHZQGLsQmFEcIAQQiRZTGrv8/qOt/2ADDhCwMAaHC50Ddfe03745IlwqrSUq6yuJgrX3MZ2+ByQ6/Xh7MEAYgQAjg2Sod7ukn7t7+p3xuP06jTCd2iCCVVZRnTBAZjgIXDdCQSoWNnu2cyQROYg795+y39FX8WyskvwEUT98Tl+QW4yLIAsdugo6gIlzU1mgceeTj907Y20hyLsvGTkrGOeTzo715+SXtm4zXSrVXVfD1jjB45ZO7r6iJtj/8u84t4nEYM8wwj+wva9+kQidBxjoc/f3OLtilYiEsqKrm6vDwcdLmQZ8M18q0eD/TZHchpGExXVZZJxFnsoV+lf9xw0NzdfMw8FI+zaVNlJ9aR8IFJPyq7x4v8VdXcjCVLhEuXLhfW+P0oW5GhraaWm5mIs9jDD6X/q72NNGMMcE4uLigowMXBIC6OxWjkUIO55/ePZ355qMHck07T8+Y1PrkETzodgRj/A5yKrp0IXpyI5QR/fjTnRfwJPC97crPnfCrbX3+DKLqChpEINZ/4wx0AgOFznvwxRGureRQAAGbP5hcCBlg8xqJbtmgvLlwoLPd4kD8WoxFdZ1plBVfrcCBnJsPSnnLkW7ZcXC1LUH7nHX3zlje0Tf39Vk8sxiJ5eShILWCFhqyBigquhuMBzxiggAG2bq24IT8fFzYdNQ9t36G/cXAapvdsEJySt3B9zd2OQndVZiTVJ3qUgJzjKPRCCBCH3j49Kh0AAI4c1Q/bFWTPycIBShl12pGzd8DsTWfOLYcFAABKqBkfSHbKHikbYcgxCii1mIkwnPa7Qo0bUX+Z83eXfXvOz4w0Sdr9Uq6gcI5MWB+hFiOKV8yO9ac6syvdsyCCKBPVx0zVyvASViCGXHaNe67NL+bEB9PdAALIy5zNyJDzYqc/KDCDqGJF8XKbOVPl8wP1YmlwETPMjB0hDimSy8poMWRXvMwwNXlW9dUAMGYOjjYDAABNpcOZhubn9O6BhsmI2ncBeU7iA/4KJEsuo3+o0egZOAA5TuKDubOgJJypmDkLJonqFojQ8cy+xqe4LF+pUJg7i8v2lUNJsEMOC1pr51a9s28vzWixs8WwMpNo6X2NT/M5/grAAAMQQMAYs+LJITIe65vmeF1rbn9DqqtYCxhjUBYdjFi6dqJrG6NnEhPMJLre1r1dKMybwyizIAAMyaJTPdT8IpuGbJ8cr16I0YDW2vkWH/BXcQFfGXY78/i87FqIEGaGqeonurZp7T27zKGx1vdSu1BNT0GEdmKvq0Aoyp9H05mIZRLd6O4/YEUTIQAhpBktph498bpUU7bKisT7mWUZekfvbqobf3o+KCWZI60vGz2DDWDyN8ToGTx4SvndhzRHHzUWLBRW3PdF+zcxAritnTTbHdDZ22t1jAzT0MqVwrp9e4xt11wr3/bYo5mfVVVzM7a8bj5fV8fP6WgnLUMh2l9Ty83s77d6RkfpUF4eLnQ6kXvRIn5l+wnSnJWNcrxe5He7ke/qDdJNoZDVDwB480L3+cMA0Sw1NaoOIgxxtCd5AgtI5BXOzolYpiY1ORErlknNj1ydOAkIEJ+FCzYkaKTBYNqYBwdWStBW6MGBlXEa3gemMaVM0dixJI1VO5F/AWXUSNLY0Q+qPQwwGqdjezjIO5zIN0+j6V6dZv5iCcCTkaHJjjgN73Uh/0IIEJewIofe63gO8k4Pyl7BACMaTfQJUMp2IFe9CYzxNI0fHyG9f6SfwM22i7gwmFxYjwEAxhCCDQgBhCZC7RE8TR3LGGCUAsuygEXPI8p+eMgaFAR4D4QATpIg9GRCaDL6nZ6P51x7G2m+757YdbIMFMYA0zSmMgYYA4DByQ0j0zwPH5+TMKnc6AcA9HMc3IYQQNP1mxBAJo99F5P9P6+QlPeLeJzGEIJbdu003kIIIDQRI38GKAXUsoB1vhu2Z4NFmAUmFSwIwcMI6QhO3ndqLBgDzLKAdfo4TCEapRGE4Ja9u423EQKYMcBME5iUvr9S0Y+679OBTJQy9gIAejGG208ei5M/GwwAxui7z8Q5OQYyMc7Jyb8hhOCxV1/WnnV7kLeujptTVITLsgM412aDDrsdOmrr+NmmyQxCGDlxnBzt7iJtB/YbOw4eMHelUixxPs/gyYAXOZCLmA4IYR4jwSZJnuL83AX3OWy5c0yiRgjRYjZbdl1T8+MbVS3ae6Hb+VFAlqEUDHIlOTkon+eh0NxsHhketkLvdQ7HQZybiwvy81GRw4GcfX1Wd2cnOT75wJ8TiENc1ryC1QWXVdya6Im2xtvHDjsKPdW8U/RQQs2e54/93EjqZzDHAg/5qnKhas0K5bKefrPneIfR6vfirNY2o2U8akXOdV9btpIn2nkX4pEAJ5NvIIYcUUkq0hVvne4chCFafHfNPxQvDazTEkZs6382flVPmbG1/zj3F4nhTJ8WNyLeYkcV5pHQ9Hz3w5JT8My7veIrocbwble+vcRUSVrxitkNj7f/l7fEWd38Us+jatz4yMw23Z9a92+2BTNvMofHTnB+T7F+onu7UBpcYPQMHGIWNfmAvwK57AEIIaJpNWKOhNuNvtARozd0xBwaaz05qelkcH5PkXPtsi8LpcFFgFgG1Y0053bmMkZp+NfP3GGGRo9/VH38cwARQmDS1PhCt+WDAsQIAwbYx4VouRBwuZH7u/c7H9iwUbq5pZkc2fSC+uRdd9u+HI3Q8d8/nvnF7XcoX9z0gvakYTD9wH5jx4aN8i3JJI2vvVy8llrAghBAUYQSgAAyCijGALtcyKNpTKUUUF6AgsADgRegaFmMPPl79dc//s/kP1/ofn8Y4AQsOnKVQkHhHRahBoQAIW5C8YUw4imhBrUYUSPaWGpM/ciTfBBEXK2w+BcO5J2jscxg1Bp+W0aOcgAAazcOfZswc9pdQQgRhgByCCDOAiTzQX4HQPj/2HvTMM2O6s7znIi4+7uv+ea+Z5Zq36UqrQhJaEUImcWAsbHNY7fBpu3p8Ux7xu72jJex+zF2g7ttj7HbzRhkMAYBEgIktACSKKmqVPuWW+We+e7b3SNiPmSVKEklqQRCCKjf8+SHyqwbb9y497034h/n/A8iABKyFrmDXIb269X2m51z40oJEPXcuL7sc4gi03uVsY9kae/dvnRXHdmadkRzypHNSVu0phzZnBKX7Qgu8yYGCSH6yPANkSt3fggpVYTr1nmtvuicnnjEnZh84sfdv8tc5qeRn9gInsv86KBE0XPp9XdnUmO3U6YnGNOiLXvlsKEnBw09OSBEYEv46VnsvRqOI10AOHHu55I4J+ScPffzmiEK1VIbO/bWz5QOnX3w5D9wJ2i3FxoTPTePfiDSFRsiykVSagBg4zpt4z23R+4ZGVTHCAFSqfFKV4fSZazlKr/q7rldcpaQIE30RIdDN7Rrs80zRkrPOS9TRQtgLce5Z0f2icxQbP3c/uITdtVb9VpBc+ym7vsyw/GN0ZzRJaUUZlrvSA/G1g1fX7grOxLbILnk8weKT0x9Z/nBzFBsvRpRogvPlb7rNoKLhjz+qJBe0EaFadLz242vPf5nwvVbSl/nFue5k19xz8x8BxWmw5rYJYALLsPQk0HoSs5fcVLNK7XZ2he/+fuoKub5SEMAACklFy27/ErHvpn4aRRBftypUW8GBgbY6LbtylWOI23bkfbsHJ+emgxP9ffTkfUblG2HDgb7Nm9Rdn3ir1p/ODzMrtixU7l6aJiN12qisrwk5isVUapVRXlyMjw5P8dnpHh5DxAugE9Ph2f+4s/fyDN84wh97gHAq1a1eKNBRCRAVAkQChABB+44sj0TJaktUZLc0pL1Ywj4kuof5zmXhs0B4FULA7xWzolFHC4SPfTTzgXj+qr+W1yGror6/1gN578SSLcoQHgCuC/ka4sGI0gUBmqcoRJxpb0gQXINjU4TY8MMlbiQoR2AX3VEc8qX3qtuBl3mMq8FapkpGQQOMYwEX1k9qQ0PXkMMIw4AlwWey1zmR8BlgecyL4EQpmczV9xtGpnxZmtxP6WKGbUKWxGRBqFTrdamHw1D5/IE4EeJBOFVndXYQGp9z82j7/ebblWJaAmkhEoJkplK1MhaLGh61dANn58g79ii7eztZn2lSlh0Pb0Al4kAACAASURBVOlGLBopdNBCq31pplxW1ugaurH3nYVtuWsrE7UjZN/yI8nB+BV20VkEgC+/3HELB8vfKZ2pH7kw8mb2meKjmaH4huxofFPoC2/xUPnJwobULq8ZNvxW2Ix1GD0ACHbFW4Vh3JDsiYxMPLr45Tc6UkTYTk24Xss9OfUoAKLaU9gMQgpgVBWOez688jVzLp2nDRcxp/5ZBgkh8T1j74CQ+/XvnfnqmyUyCCmh6Zs2/5Izs3qkfXLhBzYEJgpTaURPhk2nIkP+Y0nJeTUoRfL2d+hjXV20d3JiTaAZHGSjX/2K+7nNW5Sd4+vYxqee9B+79nrtlj/6k9jfxuMkcfRocPD+L7n/fOpkcHRygp+oVETptYYM/6RwThjRLqiuJgVwDwAAgTAEZACAAFJIkMGlpsgQpKqCajJCEusjmNwogLsr4dl/5RC05Fpb/JWiOQgShkAUCSK8lAW+hfGxbmXkwwhEOe+/I4H7EhgPIahHSXLTiLrtT9dpuwIJwFfCmc9X+eqTF3yWioAgQYIE4b9SpAgi4rmxoXDO012CDCWI8GLnRJCqCMjOty9AuFK+UEw+93+eF6AECF9Kwc/1jQEAAQAhQXAJMryUZwlBwigwyySxkShJblJRz6+Gs190ZGtanstMeK3+gmv9QQprZscIILkAGV6sHYKEnhtXPDeuwatdywC8cij9OgKhAEAQCDu35/Cq50yQ0A468N4r1KtuVFFL++CVzgYn/jJBMldmaPdtHELbEa3pFO24QUEt0xSV5/Ks719KfOEBLsNXNSy9zGUuARRB4LkTU08ADz2lo2N9WCxPiMD/mYnau8xl3mguCzyXeQkh9+qrpWNf6O688iOqGu1w3dqM41VnHKcy0WqvHHW96kwYXjaw/lGCjKiEEaU1X5+wOmMDUTU5Xp8oH3HL7aXU+tzugXds+PXQCdulgwuPAcCj548r5FmhXOXl2flwtt4Q9Z5O1pPPsPziUviKKWXnyW/M7M6uS22XXHIpJFdNJUoQCFVf2QhScCHgRaa7bt2vHr1/5h+RAs2NJbdYaT2fGY5tePJvj//nVtFZGLq2cEfghna8yxrQYkpy4onFr5zbCX9DEbZTk2HoAiIJS9UZyXmgFLLjRFcjb3RffhZAhWpGf24jUqI2npt5BADeFJM8oquWOdq5CwlhRGEHxQ9Y3UrvSY9nbtv+66UH9/93ADj8OnfzdUFRQesfYCMAgLqBpmmguftK9dr7v+R89vHHvK9nMiT/np83ftWxZfvE8fDQv33B+fTUZHiy0ZR1folppj/JWBgbK7DB91NUIgZGBiWIYMo//IeASBMke1WUpLYyZBYH7pbDxW8YxPqOL70Sl+HLRqNYJDYyrGz55ShJbUUEbIvGaYvEx7O0+w5X2gu+dFYd0ZqI0fTRlqgdEfKF4iBBqnTQgfd0KcMfqvPiUxnW9Xgg/aon7QVP2otSSkmQKCrqGRX1fCiDhoHRbh2tvjovPaWAmtSJ1cNAjRskMuCI1rQkkjuyNcNAjedYz10tUT0KAE8iInax4V9Mkvw1DNWEinp2Ljj53wDg/3vxeSEiamgUUqRwRZymdxgYHaRILQX0bFWsPN4S1cM6sQ64ov28qSpFqvcr638ngvF1CmoZhkrklL//P8AFFSYVVOM9bPQXdWL1amgWVNQyc8Gpv46Q+Kkc7ducoNk9KugZQCANXn62yOe/qqC6HEj/oimz59qMdbPRD6Rp500Kqom2aEwoqKVSWuEtrmjPBdItObI9k6KFEw1R3h9Kv/FybZ3vo0US6zrZ8IY4Se9EIExDs6ct6yfqovh0hCQP27J+6rwwhoiYp333ZGn3bQyVuIpGx3I4/VkA+MTF2kdEVEHPJUhuJEGzexIkt9dAq68la0dt0ZxoiMoBk0SPedKe5/Li704EomRZ950WiY+roGcFcE9TjE5Ewmp89TuB9GsREl+noJqiQI0kyV8bVVNbjCDSx1D521AGlzcoLvPDgUhoJJJBxnRiJLqFbVfU3u7twrHf0Gjty1zmZ4nLAg8AEMIUxrSEoacGHKcyGYR2RVNjXYl4/zVrKUki8IPmcqu9fLhtrx4T4pVTM37SkVJIQtj9tlM8ZTuVSc79yy/4NxjJRRC0/BozlRj3Qy+w/aaW1LMiFIEIZQiIJLT9xovN4b79tPPErTdat4+PqOOJWJhQFFSWVsKlw8f9Q5fyudHOyAAAyOVDxe+6da9CdWroST0jXiH94mXPYW1ncZZQ/E+58eTWoWsLd2oRFi9sSO2WEuTS0co+p+aXGkvts2f3rV7UNPoNQUrBa82lsFiZUno6NtFkrJNEI1nUtEs2Qr7MpUMUqgk/dMNqa4aoVIc3icBDdSUS1u2iX27MIyMKXEL6xMUIG065+dz0w2HLfcXJK9VVyxwpbEdG1faphe9x23vDzMUZQ5bLko4jh4NnUymS2bRF2Wm3RWtsjG147mDwvZMnwsPDI2zdn/5R83cf/Zb3QBBc3Gjxp5U07brFlq1JkIIH6BaztOftI+q2P2Woxmui+FSFLz9qkuiggmqSoZaIkcxOACk1NL7rSeei6ax51vdzCmqpALwKSMktEh93hT2vopZJ0fz1jmzNxEh6ex+54neOe0/9KgC8oEIMAjKTRIcpUENBLZ0iHW8hSFQEoiyEE5/KsZ6ePmX9OilFGCXJzRzC1iqfu9+V9lxbNk7nSM87TBIbDqRfb/DKQZNEBhGQ+NJdcWRrWhdm1/mIJQQkUZLaUhPFpyXIIEXz11sksZ4gYRdG8SAiSZL8NTnW83Yuw7aOkT5b1k/rYPV4UF3wpbM8rG79o7aon0jR/F/XRPFJIUVIgKoREh8v8oUHVdDSWdZzt4FWHyI+fT4iJUFzewkyvcZXv22S2GicZHb2Kxt+V4IIXdmeq/DlRykwwySxkfP9FRA6UZKaacnqkYtFtiRp/ro4yezypbsKICVDJYIAGEq/HiXJTYjIGrx6sE+54ndmgmN/DgB/83L3iEmiQ73Kup+nQE2KSoQDd7h0WwCAdV58uoP1/1wfs357Ljz5SYrs8+c8hjBG0tuaonI4AL+WILk9a+NKlZcKeoQlScc1nWzwgypqKZPERlU0clJKYcvmmTzre2cH9L/bk+5qhS89ohPz711hX2wjBwVwd8o//H+naP76Djbw3ihJba6L0j4DIwMI7VkJIF1pz6+Gs19iqMbztPeeAXXjf3RkawoAvvRyY3CZy1wSiEAMI0mT8W7RtsvC89vCdqoyfOM39C5zmZ8VfiiBB5FQhRlJxvQ4ACDnfjsM3SoXwSWHdRJCFcaMBCWKhUgVRMCQ+80wcC6pHURESrUoo1qMUtUCkJJzvxWEbo3zVw//y6bX3bllwwc/pjAjJUGKs3OP/4miRHLp1MitYeBU2nbxRDSS35xK7P1fQu7Vq7XJb0Ws/Cfa9urxS00tIIQqjOpxyrQoQaZJGfoh95ph6FZfTSxCJJQxPR4EdgUAQGFGnIvAFSL0KFVNhRkpShVDSBH6fnOZ8+B1yWcXIvQpUU6raiRnmdmetTKAQdv16vMXhh0jEqIqVlbX430Rs2OjYaRHEJEsrx7+TBC0S0KGLueBLUTgvFlSMX4S4F7oLD959gHFUuNSSgFSSqSEgZRy5cmzD0guQxFw36+7L/By2XfQ3deRYx03XmveZBjEsB1pnzjjH5+aDS6pfGN1qn5ctZRYojc6Wl/AKStrdPrtoNGYb06+1nMwElqaqUTToqpXnmqcKE3Uj+lRNcF0aiIC+k7Ycqp+SbwJ/FBYMt5t7dn2C9J2aqgqJjG0GDEuCzyvF0gIoZaWICrTWTISRYIUKWFICUOCSE0tTiw9Lr3A4bZXF37oUUOLEF2xJBchSCmAIJEhD8iaJxIBCZK33brwQ5coTKWWFgcABEQUfujwtttAQoiSiXZTU4uyuJmjhhpxZ0snvJXatOSCI6MKtbQ4UZjG4mYGAAAZVZEShcXMNCIiMKJIP3S57TUuxbsnbNil1tHZb3PHbxJdNbVCcggQUMsnBsK6XXRni8e5G7TUdDQbv2rsHVIILrkIqant57bXpIZq0ZiZkUHoCdtvcNe3iaYY1NJiAEgk5wFIkMIL7Avb5m2v5pwtHuNNp4Iq06mhRgCRgJRCrPX/eQGJIBDdQPOxR72v6Toa116vva1cEqvZLOl4603aXdt3qHv+5T77U4896n3tZ03cAQCI0fQOKblvy+ZEIP1qW9aPE6BGiS9+XQE1mWc9bw+kX1NQSxBCtboIbQJUT9PCTSpqX7u4hwmiK9vzbV4/YZBIf4IoMYtER1TUc1yG7dng1Cd0NHsz0Hlznva/h6Fy/IXmx1IIEH5DVA+uhDOfN0h0MIm5a5M0f12UJDcSoFpL1I4XxfxXk5i7OpBeyZfuapQkN+lo9a7yuS/aQXPaQKs3y7rvAECyGE79syNa0wzVhIJaSsKaeCOk4GPqdjtNO28q84WHAAAVVGIIRAGAEGDN0yVP++7O0K7bm6Kyn6ISdWV7PkrSW0Pp10Lp19O085ZQBg0EwnqVdR9t+80zALAkQPgIREmTwlsbovQsAhKGauJcOlYIAGBibDRO0rsYsIgn3ZW2bJyhqMRqvPgkl0EzRTuuF1J4CESNUi0d8qAuQYlq1OyUnPsAcFETew6hXeILX9PR6onRzA4V9byBVp8EyeeDM3/Xlo3TAkI3R3vuMkjka45ovcBHDxExSlJbB5WNv+HK9qwP7iqTwjdJdBjR6GyJ2tEk7bhOQT3ryOZ0Fxv+UEvUjgPAM1JKMaBsqKVo4a1FPnf/msjEIgSoDvD9ikAECc3Rvns6WP97KDLLFe3ZUAQNA6PDgfTKTVE9goDMk84SAaLGSGqrrmz+A5PE/twWjYmX3HlAVA3NbgkgGqJyQEjhtUX9hC/dIiJRCAR6hS8/qqAaT9DcNQ1ROeBJe6GLDX1IRe2JN9qTh1BC9azV1bGn/47UhvxVbsVZKR9aeqJ6bPlpr+6WJBdCT5t5PW0V1LieRkqUxFh2u9kR7bOXGzPzD0/c56y25pWIFqcq1QQXIVWoxv3Q9Wvu83MOJEhig+kNRj7SY3XFh+3FxlSkNzGmpYx88Zn5hyvHVp4Obb8pz1UGMvPRnv67rvhw+ejyk/XTxQNBy68TlWpUZQZ3g3bQ9puEUWbkrJ7O6wbvSYzndrQXG1PlQ0vfrp1cfdZvuGUppGSmYuV3996a2lTYq1havL1Qn7BXmnPNqcqR5kzlOPe5TzWmp9bnr4z0JsciPfFRNW5kWrPVU/WJ8qHSwYVHQyewAQCUiBbv2Nt/Z/KK3C6mK2ZrrnbGXmnNNibLh1uz1VM/to2zC5FChLXaPIlYWRqN5HmjuSJaraJw3JeNtrvMTydICFWseBcgAvecOvfWipQQpmiEqZbggfuTlLpHNSOOiMh9t3mx6rI/Tn4ggQeREF1P9HV17Lg5mRi60TQyo5QqZrU2+UjbKZ1OJgYPNJsLz4bce9nID0RCI1Z+fWd+xx7LzK5T1WgBEamhpwYrtYlven5zMRrpfKzVXjp0MWEAEVFVIx2Z9LrdUauwJZUYeqtpZkZdtzrdsleP+35rJZte92SjtfCM5zVetmpFxMpvklKEQWhXopHOrf091/9eyN16o7nwTBDaFUNPDkSsjk2e31xCQlk6NXa7oaeHTk898O8B4OirjBONWPkNHbkt2xKx3r3xWN/VqmKla/WZbwehXWnZq8fisZ4nW+2VIy8nRjGmxXo6r/rN7s7dKwAAw4O3bl8tHv18ItbX7O+5/vZ4tGsnIKEAUtbqZ79jGulP2075+cW4qpgpy8xv0LRYJ6VqBACJFKEXcLfmOOUJ2ymdFuLiPhERK7+xu/PKj0opgli0e2cYOtXDxz97L6yVWAQAgHi0e3d351Uf1bV4NxeB63rVGV2Nd48O3f5XfE3EqrlefaHZWniGUvXBSxHdLrM28VAiaoJqVAdEpBqzmK6YgIBexV5pzdVOX+zF3WyJlqLg546f8o9ftVPf43rSrdR45eXKO7+YpYOrTyQH4uPZ8dRWxVKibs0r1eeaE5WJ114id+u7h/5dsjcywn3u1hbs6eNfPfvpxvKbsxSusJ1asLB8lEatTLBcOk0iZgoVRf9x9+unBb0vu8Ea7dyp92c3EoVp3PVbSImClDA1l+iPXzlyV2RT/w1hpbnYODD9DaIr34hs6N0b2zp4sxSC85ZblaEIZBB6NGZmWFRPioD7jWcnH0RGn1AzsS5ztLATJEi9L3NFUGotUl39DDFVlr/nyt/R+7MbZcB9EXCX1+1S6aGDf4eMHrDGu3brPZkrzJHCdhnyQPihq2bjvURXLWtd11XCDWxjML8ZhBTV75z4PAC8qlCqdaXHEnvH39k8MPUQtbRE9o4dHwFGFBBS8LZXsyeWD1SfOHafMZTfggpV1WSsI3Xjxg8CALC4eTS+Z/y2+K6RO2QQus2D099kcfNr5nBhPHn9+vcSjZnuTPGI8EPXnSudyN2962NEU0wppOBtt+bOl08W73/mvyrJSIfenR5HlWpaZ3LYX67PEIXddz7tTAgQdlu2kima+d5T3uPVqixv36HsmTjDj7/1Zu3tqobasaPhAd+XP1AU048SgpSZRmaMUT3espcOha9zhCkikq3aW5JVsfJ4XZT2acTsLIULD3EIWwU2+IE4yeyWIHxfukUAJAJ4UGCD72/w8n4X2vNdbPhDDJW/eXFlqlD6lQztui1GUlsVVJO+9EotUT/B0J43MTbayQZ/QQB3TRIbNkh0aD489d8A4PnFugSQQnI7wzrfJkGEbVE/acvGaUvG17nSXtDR7GrK6iEOYWstdctZEpK7Fb7yOEMlliIdNzJQD5gkOiJAhjGS3Jai+esVVJMM1LgtGhMNUd5//vNcaS+EImy50l4IpF+hwCLnBB4HETFBsrsGlA2/K4D7OrF6SuHCAwF4VSKIgkiYjpF+ClSfC079NUUWzdPeu8na8SBBCls0pzxpL3rSXQllUGfIIuc8bAARcUjZnAxlUKvw5W9RVGJcBM0qX34sSfLXdCnjH0FAxZGtaQrMsmVzMsd67valW6rwpYc72dAHdWJ98sK0MAAAX3olHa2ePO17p0EiA6H0a45oTXtoz1sYXx+n2StjkN6uoJ61MDoSJ5ldiDh74RxUQ6MwoGz4XQtjYwbEhuqitK8taidQIKWoRDTUcyZGhlbD2S+2Rf1kn7ruYxS+n+LsS3elKaqHHNmeNWR0QEEtea6S2PPESGaXRWJjq3z23xgo8RCChomxEUlAmhgZzNLu2zxpL1JUoq5onbVla8rAyGCfsu63GKq/9+LUMg3NzjQtvMWT9qJF4uu4DFsSRJgnve+kqER94Swt8qlPx0hqm5DClyACRKppaBTiNLMLAB76Ib5Sr5nUxo49HXv77zSykW6zEO0nKtXUWP/dyStyu2cfOPmPADBBdcUafOfGj6hxLRPpTY41Z6on6hOlQ8krOq4089HeyvGV76lxI2tkra6g5deMXKTHb7jl1afPPkQYeVyEImSGYmV3dN8IAAhSitSmjr2EEVWJ6smuG4ffZRZiA5Wjy08iwaNSSEF1ZipxPZ3f3fu27reOvKd+uniQKFRV43qmfGjp20jJA7md3TfmdvTcZBSi/XrGKiBBoqXMfOqK/O6zXz3+KQCYz+/qfVvXW4bfVT9TOhg0/ZqRi/Tmr+q9TYYifO6/PP5rAHBST5n5zuuH7tUzVsHIR/uoRnW/4ZZ7bx//Rb/hlgHgaUIJ7bll9O78nv47aidWnyE6M6J9yfGOawbuClte/bk/e/zDAPC6zrloNJpT8rlxlkz0IqVKWK8vBMsrx3mtvvCym7gSJCICUqq0nz34GaWzsJGYVprPLz5HLTOpDQ5cLcPQ82bOPi0c9xXTIs9DDD2mdhY2skSyByhReLO1yhuNJd5qrYq2XZHhpaVYU8tKq12dm2g81inD0A9Wi6fC1eJpEbw0wIAoiq4N9u9FVTX9+YWDvN5YeLmS70gpU3u6t6mdhU0yDD1h29WwXJkMVlZPXaxwBVLK1M7CJrWrcxMgEGE7VW9m9umwXn9+/UotK81SyV6i6zHeaCyzfG4dUVWTN5vLvNFcCavVs8J9c9tnUM1IdF1z918KHrqtudPfBIB/BAAw8727I90jN7rlpcNIyBdfj+IeVNEsI9+zE4QIW4tT3/mhO/8iiKIamY1XfxgJodXT+z8DALOv92f8MLxmgYdSzcpnN94Vj/ZcFYt27YhYHZsctzJVb8w+hYRpyVj/taaeHkonR26NRgqfbbWXD7/4S8/OtRGLdO10vdpZQpjRspePWEZmbLV07At+0F7t7brqY5nk2O1LKwf+ByXKv3IRPB/KRwhliXj/nu7C7t8gRDEUpicMIznAud8OQqdq6qmhZKz/mmR84DrPby7msxs+U6qc/trFxAVCFKNcPfMQJcxQFDOtqdFO7vhtRTEzQdAuOm5lyjQyo9XG9BOe15hPJ0dvjUe7d/V0XfWbimL+b+cja16Mqljp7sLOd2dS43dyEdiWmbuCUtUMQ7chJA+SiaEbI1ZhSy6z4d5ma2F/xMr/TdsunnyxyaCUkjOqxylRDNerzRpaon948JY/C/z2quNWptpO6VS5cvpBXU/093Vf/R9i0a4d2fS6v2u0Fp5NxPr2jgzedoeiWBnPqy+0neIJKbhvRbs3x+N9V/t+a6XZXHhG12J/7XqNl4T2IhJGqWpWapOPtO3iiUx67I61KKnvCzzJxNCNnl+fEzL0QILU1Hh3EDo1lTDNNNIjtfrMtxWmx/t7rv89zv0WIn79ciTPq0N1xSpcM/B2olANCRKQUlJDsYKmVw3bftNeak4DwEse5Iwh3blF33nbjdZtIZdhIc8KqoJqJkUzioIPv9puvAhFMPGNs5+rTtWO6yk95zeD+uqx8j6n+vJVtF4OrxXUl49XnwUAoArRtIgSh9d5svF6ILkIAUCKll0GIUK1r3MrMfS45G9Og9yfNGhET0Q39w8RnVlBubXIW05FzcX7w4ZTQoVpqevXv4+lop32qYV9WmdqOLK+5xp3tnicqMxgcTPrr9Rn3LnSicim/hsQAd35yun2ifkn47tH7jQG81v8pcpkWG8XnenVQ1p3egwQCdGYoXWlRvzV+lkAACRIy48c/ieWsPJ6T2Y8urn/LWHTLqmZWA811Zg7VzohvNBRs7HesGmXZcA9+8zyfjUX7xNeaFNLS2hd6VEkZObVJh5IkSpJq4OYWpxoisldvy3coF194vh98Z3DtxkDuU2N/ZMP8aZb4Q2nDABY+/aJzzmzxWPx3aN3WeNdVzqTywfUXLzPuqJ7r7dYmUCFqggAYc1e9VZqM0GxMUejRkq4QVv4oVd68MB/j+8auUPvTI1onclhb758CkBKrSezDilVia5YakdiEM5FNQSB9Ofn+cwtt+r3PPqI+0C9LiqUAvMDGcTjJOk40m42xSVNtN8INDVayKbW3VVtzDxh6CnRld/xYSm5x5ieQCRff62muK8EAqEMlZhF4uuKfP4BhzendDS7crT3ngTJ7fWlszwTHv8LKYWfpp23pGnHjSW++JAA7pgkNoyANEnz1yGShy7slyvbCwK4t8rnvtzg5Wd96SyHELYYqPExdcdfMGTRCl9+rMpXnsjR3rsjJLEBLhB4AKTgENgUlYgCajJCEhvjJLubIjWklHwxnPyfLVE7pqCa1NHqLfL5r9qyMTEdHPnjBMnuNZTIQCj9apkvfj1G0tssjI0thJP/WA4XHz5nkKyKC3xcEAlL0tzVEkRgktiIt5b+IwEAKCiRTjb0AQSkJb74tQpffkwAd/K0750CRFjnq9/lMmhyCNsSZBjD9E4fvLKE7/s3MVQiEdJ5U0OUn9WJ1ScFfPvCy4BAlAhJbBAggrYoP6uAmkrR/HUZ2nUrRRY5Gxz/i6aoHkmQ7JVZ1n2nJ9yVJq8dTpD8NYF0SwU2+AGK7K8u9EUKpFsMwK+2ZO3orH/yk65sz4XSryFQtYsNf6jABt63GE7+owQpLBIbjZH0jiKffwAuSCPN0O7boyS5qcyXHi7zpYdtUT+Zop03MVSTdV580pdukUPYFiBcFfRcKIO6APH9xSYCJGj2Sg5B0ySxcYAXelrpxOwcUjb/UoUvP2KS6AhDLdkU1cMmiQ5X+fLj8+L035kkOpQk+WsBAFb47Bc0NDpC9OsdrP/dMZLeDhf48gEAhNKvO7I5oaHZXefFpzQ0u2IktW0uPPXXbdE4bWJ0KMu67whl0PSlu0qQ6i1RPWzS6FCMZHYSJN+8VCPxHxY1qiXGf3nXvVRjhltuL618b/YhI2d1W13xoaDl1aIDyfVIyXRsIBXxqvaqV7VXmaXFWnO1U0bG6mxMlY9ILsKOPX13VI+tfq89XzsTHUivl0Jw7oVOenPnNU6xPQ8Ap5ASpkS1ZPXoytPIkKU2FvZ6FXt59XuzXy9cM3BXenPhajWup8layu5+GYqAECR2xV4y8pHe/FV9ty0+NvUFyQX3ak5RTxr5zusG75FccnupOb342OQXov3JcSNjdQVtrx4dTG8AgPnUho6rlp88+1VmqTGAAKrHV7638vTZBzuvH7qXsLUKqdwPPaJSrXRw4XGv4iwnxrM7maVGg7pbsQrRfqLQ/cgIjY9lty89PvVvWtLIBW2/Xj22/PS5+ePdSFF5Pa4JEkQaT3Qb69fdlrj1po1aX+9uJZcdDSvVs8HyynFiGknv7Nwz+mD/g/78wgHhv0QckVJKQTTNYunUQFipnhXdXVtZLNqRuPWW/6QN9u9FRBJWq7PJO2877s/O7fPnF54LG40lGYTeC/tCiNpV2Jx4283vAyE4IKI+PnaLNzPzpLDtqpJODwIiyX7gvU57/8HP2sdPvkScREKQWGZGHx25MfO+d7+X5bKjhDEtrFZn/cWlwzLgnrlu/GF35uzT0nUbcvkd7wAAIABJREFU59csxDJTsRuu/fdKJjPsLy8f5fXGYuLmG5faB567j7ftCjWNpJLPjWuD/XuiV1+1ioSw6DV7f0P6fjus1mbDanW2vf/gZwHguy/pk6qYxvp1t6s93duAcx+kBFRVk+ja/cL1WlpP99bkXbf9OjGMOK83loBShWhqlMaiHahpEel5TeH5LWvL5s/YR45++c08f+WB17BX5p5Fplrnf6fG04N6Mj+OlKnNNeHnB55/EEU1FCveld12wwe0RHZY8tAjTHlWhJeeXXQpICI18707RRi4aiw9gIhzb6b17WsSeBjVIt2Fnb9mGpnRRmvhGT9oFx23NsO511QUM61r8d61f/ttzv1mT9eej03Pfus/A8DM+TYoVc2ujh2/Eo/1XtVoLTyrqtFCENqlRKxvr+OUJxCQZNPr3t5qLR/yQ7ucz258d7U+/TicWxgiEppMDF5fyG39oJSSu17trOvC2SB0a4QwvdVeOaKp0U7brUxy7rcIYVohv+2XCDIdET/z4sFHJMTQEv1c+G3Xrc4Iwd1qfepRKUXAmJ5QmJkuVU5+VYLk+ezGd3Me2MXKqQfSyaGbYpGu7QDwzZeME9MiXYVdH4pHe3b7QXslCOxKGLpVXU/0h6FXd93aDKWq5TiVSURCNTVW6O3a+9uzC9/9OAAce1H/KCCA45QnARC9oLkUjXZubzYXnuHCbzVbSwc1LdYdjXRuazQXn5WS+4N9b/kDP2iXgsAuOW51qtlaPCCl5IxpMS5BOl51Oig7Fc69Zi6z4V2UqlGFGb8fhM4LPCO4CNqaGuuiRDERiUKQaZSqL0hbkVKEQoReqXzyK9FIYYuhJ/p1K7+eMT3uB+1SsXTiS4aRGlLVaD6X2fBz9cbc0wBw2VjtEpBSChFwDxBQ+NwN3bAdHUiud1bacy/3BEnESfLGa8wbR4eU0eOn/ePFMi9l0jSjKqBOTiuT8CqlfPObsnuMhJZZPlJ6yn12pbiWPPKDhfiuHK/uH9jbcWt1tnW6MtM8BQjkB2nnR024tHoirNYX9PXDb5VB6AIXoTc9/4x3ZuYlL+ELicZIfHyDus3zpHPmRHDYsYWtKKikMjTn2KLdasr6m73KUCJF04wBq1dFJQjkj2RCoCQjHSxqpFnCytWePPVF3nQrkfU910gpuZK0ClpPZt25tCJNhtxHlenU0hMgAYQfuvbE0v7GgalvoMK06Ob+twjXbzWfm37YGMxv0TtTo3Y61qUWUsPmYH4LMqoiAOp92fXubOm4t1ybCht2idtB01uuT3uL1TNEVy0gSPWe7Hoa0ZPU0uOlrz/39yyiJ2UQesLxm2o+3m9d0XM10RVL+KGjdaVHw1p7tfkiz6uLgUgoEkKkH7hcCM7bXo3bXt2ZWj6opKOdxkBuM4sZaeGHDipUE27Q9per00iQmkMdW5FRBSlRJBch0RWLRvVk2HDL4pwQ2dg/+ZAMuGeOdu4KW24VCVJnevWwkooUzNHOXWom1qOkIgWtIzkElFBUqKr35zY4UysHz/fR86R3/Q3acx/4oPkbA4NslIcylBJELE4SlYooZXOkgxB8xe8rpUiYAgpjqDAGjFFghCJFAJRragT3A+m7rnQC/4e7tyJmfoNlZNcVK8e/lEttuBcAQFWihXRi+Bbfby4BwMFXaeKSkSC4J52lKl95HABklvbcmWe991JQIgJCeyI4+H+W+dI3JEhZ5kuPdCsjv9JBB37ekc1JhkrMxNiohmZnnRefAoDnN4DKfPEbVb76BIegeX6xjEhIAG65KSqHcqznTh3NzqaoPNcStaMRktwIF/ifSJCcy7DVFvVTtmxOBtKvtETtiEmiQ55wlk2MjfnornjSXlwMJ/+pLopPn6/OlKQ5n6ESI0gtIqltYGSIXCDonJsXvWAhRYFZvvRKvvTKTV45RJFZ51O4KFLLINHh2fDkJ0t84WsM1ESe9b3TJLGxCf+53z9nLPz8NWeonCzzxa+tRT0BIAASoIYr7XlfOqttUTvOZdACeL7algwhaNRF8WlXtucSJHtVnvW+08DIAEM1eTY4/vHZ4OQnQxm0KLJHa6L41KCy6f/I0q7bfHCLSZq7mkvuVvjyt+ACLyNHtqZPevs+yiF0zp87IiKADJqi8lwe+t5pkMigI1ozdV7al2d99zJQonCBwBMjqa0lvvj1meDYf6FAjShJb82x7rtmguMfr/KVxy4UlAgS1vLrJwLpli4Y10gg/ZovvXJTVJ4zMTokgPvn74dONnhzgub2IBKFAjObonooQztvKfOlh5fD6c9yGTqI5Mkqrjwxpu78+ICy/n/lkjuetBcD6VWyrOt2gvQ7F3r6IKxVDnNEa9IksVEdrW5bNicXw8l/coW9RJFqAXjVXmXdRxth+YACWtrC+DoAAJPERiiwCAC8Iek0qU2Fq5EiVWJaqjlTPd6er0+Ett9Mre+40i3ZS9H+5LqVp2YfZAazmKFGeMh9v+6UFh+d/FctbXb037nuVxqTlSONqcpRKQRvLzWnV5+df7jrhuGf09NmoXJ0+cnM1q4bAOCUCLjnle3l2FBqY6Q3OWbkIz0nP7Xv91tztTNB26+t++Vdf2gVYgOSi5Bq7KiW0H3BRYiUKK252inhc6+9UJ9khhJpz9cncrt6bhahCIxspHv5ybMP2EvNaSSEJMdyO53V9ny0P7kOAB5ilhJNjGW3KRE1cfaBk/9QObz0XUDE2snis37TrQIAeDW3ePxvn/6PIEAgReZV7ZXBezZ+pD5VPoIK1QgjqpRSqFE9GR/LbtPiemby84f/sjFZPgoESfX4yvf8mlN85dG+NNTurq2xa6/+KEunB4VtV4lhxMNGczkolSeBMRUZ09Suwiatr3eXc/rMI9Q0/5bbFxgoI1IWj3XReKxL6chfoRlGQuvr2RVaZqr93OEvtPcfvM/cvPEd2mD/XmM8/lZz/brbhO+32/v2f5oYxmeE4zy/2GeZ9JC1Y/v7hOPUUVVNtdCx0Zua+k5QLJ1BAPCa7aKSz42r3Z1bjHVjtxBVfVz4vvP9riAqnYWNkR1bf34t+wFAel7LX1k9KYUIlWx21F9YPKQN9F2ldBU2t/cf/Aw8vzGJKIPQrT/y2J+F1eosS6cGzE0b38GymWHp+20lkxmxjxy7n+h6HFUt0n5m/6eNDVfcSS0rLbkIpee3zQ3r70TG9skwfKHnlqpaLJ3qJ4Yel57fBiFCY93Y2+yjx74CAKDkc+PCcethtTYHgEBMIwWmwVDTI0iJ4pyeeETt690d3bv7w/7c3H64YN39ZoJQRaeakURCKFwQ0BC06vN+s3KWO60i/BAiCWGKnhzd/t5o39jb1GiyV0opnOLCQYDXfy4uhQjcyvJxwlRLhuGbzk/qNQk8ycTA9V2Fnb/quNXpIHQqbXv1uKpGchEzv0FRzGzI3ZphpIY8rz7HmJ4w9dRQPrPxXYTQvxCCh4iEZlKjb+kq7Pq1MHRrjOnx5dVDnwGQMuReU1OiHaaZGRMicCr1qW8xqscNPTUI+P2Jpmmkh5PxgetWSkfui5odm/ywXUKkiqpaWUTAdHLkVsetTIrQqbpudVpIHrhubbaQ3/ZLLXv1GAA8d+E5ISBLxPuurtamH1fVaIehJQZSyZGbGdVijOlJIQJbSskJYQYPvYbtlidVNdoRhG41lRy+GV4k8CASms9uuEPwwF4pHr7P0NPDrlediViFzYzpCVWx8poa7fL8xoKQoeu5jcW2vXoiHuu5sruw69cVZvxeEDr1C/pHNDXWxagabbaXnyNIWBC0i4aRHl1ZPfTPAEBMIz0sBfeXywc/nUoMv3W1dOwLhfy2XyKEabZTPm3oyQHOAzvkXiMe67nKcatTftAqIiAuLD/zN4Xc1g+mkyNvQySfuzCCSIjQs93yRMjdOiWqJUHycxE8zxOETiWTHr8rHu3dE3K3Xm/O7/OD1oqqRHLp5Mjberv3/rbnNxZ0Ld5rGpkxTYt1wWWB51UJbb85+9UT/7DmOyIC7nHX6owNRvuT66lGDULxot/dK7fpu7s7WfcnPlX7xKkJ/yQi4m98KP6RVJKmugqsG15F4FEtFo33RUfr880Ju+QsA4AkjDBEQLFWWeuSwybri/ZMYVNqd2Fjatepr89/jjBUtIgyEzjcPregeP6Bu2YWjYgICAgoBYg3ypvHX1w9STT111FRdOn77YvsPl2UgWFl3Yc/FvuDlSU+9//+VeMPAeBMoZv1v+O91q+UVvjSl/6l/fdwkSirS4UQRN1Ac+ce7S25Dtr1+DfdL68uX1o1tEtB1VC79/2R90eiJP6dbzkPAMD+Vz3oB4C33RpSokghOZy7wlKIEBCQu0E7KDXnUaGqv1Sbau6f+joQJN5i5YzakRhAggRVpsuAe7zplJVkpBDW7aLkgmdu2Vqmg/nNSjbWY/RlNwAA1r935svGYH6zkol1SyklEqTU0hO86ZSJSjV7sng8tmPoNjWf6LdPL+5Dhapr96KUQJBKLkIQUuj9uU16b+aK2ndOfF4Kya2xzt0AAID4qgIPIAAQpFJITlUWIwrT/FajBhKkt1g5E989cpeSjHS4c6UTqFIdCWE0aqREpbUYVFsrTJqC2169dXT2cclF6Bfrsyxh5REA/EpzSbhr3gvRTf0a0RQrqDQXUaGqO1c+mdg7fm/YnR5VUpFOv9Scbx6Y+kZkU9/1erc+/uLNjTOnw2OTE+GJnbvUq6enwjPViiiPjbL1Z06HR8fG9Q3ve7/5azt3qXR6ip/ee7X61nZbNk0LI/39dCSfp4U/+X9iqqKipiigKAqqjIHCKFJAQClBcg7c96TbbInG+z5g7vu3f3X+p+PIH8gjjjE9ASCBEMWIRTp32G7ljB+0VlLxoRujkc5t8HoKPFKKYXXLKY0YhQx23RalqS0NUdkfI+ntXIbtpqgduSCaoaoR89MdtP/dOlo9AfjVEl940CDRIZ1EBuACgYdL7iKir6FZSLPCGAGqp0mBN2X1EEWqq6h3GCQy2JL1EwF4VQMj/S/ql8yz3jZDJdYQlYMVvvSwQSIDFJgVIYkN08GRP26J+nnfmQMXHitABASIIqRwFdQyAfhlDtw9nzJ1MSisCToCuB2n2SvrvPi0hDXRhoISEZJ7bdE4laQd16ugpSMkfsVSOPXP5ypxvYBz6WoXPAsRKTIrlHYdgdAYyewohQsPyHMCj5RSFtjAtEq0dIZ2vS1GUtsD6VeFbPhxqsZqvPjU+RQ4LkObIn0kR3vfkaS5q6UUYUNUDhKgWpQkNxMkB84bQ5+7bjUF1XiK5nchUjVHexNNUX2OohKhQK0ISaz3pLMspeQEmEGQPp+qS5CqG7Q9sRJf/HqEJK4wMTYaJYn1NV58ssKXH36xUfK5z515wbgiMwEkD2VQz9Heu31pLwoQHgCAAmo6R3vf0Rb1k21RPykkdyyyJrSshme/cF48OhcZNjWkbn6mVxn/rTJf+mYgvHJDVA4maW6vjmY3AEx///pzt8KXH4uS1KZzfwMCRD3n/QNcck8n5oMp0nFdIL2igdEBitT0pVvU0ChQVKLwBgg8SBAH3rGhjypUd4vthaDt1dObC9doSSNPDSXSsafv9urJ1WcBAYjKDBFwn6hUK+5f+Fb15Op+qjHNzEf6klfkd9tLzWklpqfqp0sHnWJrMdqX/PzG37r6437TqzJTiVCVaoAoqKFEQido2UuNaWawiFdzyyIUYaQ3MemW24u1U8WDUkiup81O7oZt4XE3aPl1QEC/5hRLBxceE6EIkRBiFmIDhBG1vVCflFwE2e3dN2pJI8ciWjx/Vd/t5cNL3wYAWH1m/uHuG0feLbgIh+7d+JuJkcy24oGFR5pnqydFsHYPIQCocT2d3dZ9gxJRE4qlxv2WV/WqTtHIWJ3ICBN20CodXHgst7v3FkQgo+/f9r8XDy48Vjqw8Gh7oTElwh8+ikPJpAeie658l3Ccmn34yJdINJINq7VZlkz0SN9vi1a7JH3fka7XkEKEen/fbum4NaT0U5J/32NUhtxzTp76OiqKQePxzrBcnrKPHvtqWCyeMdatu1XJZUb9s7P7ANZ844BSZu3e8UHJeYCI/7D2PieYuPXmDxDTSKLCdH1w4OrWM/s/HVZrs8a6sbdpPd3bw3JlmphmSjhOjVhWGlXVAoDn3zs0kehOvO2m30eC1Dl15uGwUpnW+vuuYol4N1DKZBC4am/PDm9y6glj3djNSAghqvpXwvcdkIIjY5oxNvLWYLV4WkopkFGVpVMDSIgSlitTvN0uaYaRCCvVmWC1eMabnP62seGKOwEAWDY9TDQtwuKxLnjRc4Gl04NhsTzBK9WzMgx9IIhhrbF4PmVNeF4LGVX92bln1a7OTUo2PaTkcqPAqBYsrRwTntdaG8vxW7XBgatf3P6bBaRU5Z5bD9uNZaoZifO/b86eephQ9jgAgODfF7/WBHgEAAmAhCIiSinEy/rdSCmIolrc95rN+TPf8uuVKXvl7D7xIxBgRBh4SMgfIqGK5Dx4M0XvALwGgYcQqowN3XFHEDgVKUVICNOyqfG7XK9+dmbusT8OQreWSgzdmEz0X8eYnvD8xvzc4lP/1TLzGxRmZgBgmVEtms9ueq/vt5aXVg/8U60284SmxboK+W2/6PutleXi4fuCoL0qJPdBShmP9uy2ndJpKdZ2NyhVjYGe634BENHUU0PRaGFbqXzqq8nkwHXV+vTjlerENxnTY5aZW9+R2/TzpfKJqXPCUcE3s6v57Mb3UKqevjBVS4LkrfbKEUoV0/MaC4HfLkYjndsWV/Z/aqV45D5VjRQ6spvfaxipAccpTWhavNvzm4um4MOxaNdORrVIyL+f8xix8htymY3vKpaPfzGVHLklCNolVUYLmhrtnFt8+pOeV5vVtHhPJjl2G1OM1Erx8H2GlhqsN+efyWc23BuJdGwBgMefH3hECiB4s718SFfjPbX67HdVNdYZhk4tHuvbiwhEU2Ndjdbis/FY75WOW52WIHi1NvmI57dWpBRhvTn3dDTSuS0R6b8GEallZtcllYEbqvXpRwlRzNnFJz+eTY3fVa3PPA4AF/oVoaGnBsPQqQrBPUqUiBAvNHG2ndKZemP2yVL5xP1tp3SKc78pROgTwnRGtZiimJlKbfKRYvnE/dn0+ndGrI7N8KIopcu8FCRI1sJ31zwhiEKUjqv77/SrzooS09NIyUW/u0iQCCFlGMogGiFRRUHF96Xf16P0MQZM01AVAsTLpWpJASLWHR3qubJwc2Y0tdWpuqt6XE1rcS21sG/5EXgNZZ+RAG2tOAtWRu/o2pre21i0z17979b/X9W51oRT80uBE7ZBgiSMqIpJLdVUokwjuhZR48UztSMA8K8/yNj9IAjPbwPAa/LysCIYPfqcv69eFSVdRxMAwLQwsm6jur3ZK6oP3W9/Bn5AgSeWoMkrr9V3b96u7tm2W7um1ZSNo8/5+wDgdRN4EAGGx5QNyTTNzUyGJ+FHJPCEtfZK8/DZR+M7h29P7Bm/hzedigxCF3U1Un/6zP3tkwtPq9lYrzGU36Lm431h3S55c6WTVFOstbBuxVoThaQMm87zC2YpJUeFasBF6C1WJ7TO5Ejyhg3vl35oE00x9e70WNiwi8iIgirVgRAKoQiQUYW33GpQbi78/+y9d5Qd130m+Luhcr2c+nVOaORAEgAJZoqiqUBJthItj2XLGnvHHofxeNc+ntkZ77HXO96d3ZVnx16PR/LYsiXLCrZFUpYoShQDSIIASAAEkYFGd6Pz65ffq1w37B/dDTZBUKRIWvI5O985+Adddd+tW69e3fvd7/d93AmayX3jD+TevfvnRMR8GbFA6IoZzNcv6P25zfau4XuIrlgiiF21mBrS+3Nb9L5ciDXFXDc/l4xHMuahZDzmQexYE+U0NtUE1lULUaIASCCGYkspJUKIcCdoIpXo4VLzcjjfuGCO99xU+sgt/9PCnz/xW+65+ef0vtxmrT+7mWasUtxwllnHqwEAYE2xyAbjb0SxgmA1jWuVKpWS+1FXcsHChcZFkjByuR/b82kRRA6xtJQ+UNimZO0rccNZBgBYXhYLj38nfOSjDxo/F4YyWJznsyMjdNOVK2wqCKT/wAf1B2+7Q32370k3ncG5IJA+pUAtE9lUQQpnwFot0UimUHp+jl/J5UmRM8kYhxgjwFQBBQAgCiG88Ub1wHe+HT4EGybaP9B3iAUtKSUf6Ln5lxHCpN2dO0yJmrDN0g7Gvn9a2VsBBqIlce6mZTbzlSU29cU0LhzQkNHb5CvPMhm/SjrOZNQKpDtroMSYlCJmMmoHwplJ4uwNsOGZwoioBdJ/fy8d/WQg/UUVafkWrz5fwP0fsHF6R0fUj62w+UckiFgiydcX3xtx1ZyYlN+VxNkbMGC1SIc+ssAu/TdPOtPXHr8OKUWMACsKUrOubJ/jgrlpnD9AELVe7xxY9fwJbJzeKYFHAri/XmK1pgZSVaQXNWT0UFDTFLTcRg+fN4IEwRAgZOHkFi5jhwPzpHxlA0GAYEmS2xcyf3mJTf91EmdvzJP+9zMZO750Zja2xSUPR9Qdkxko3SWlZEIyL5DOFQsnJzBQEzbI/RM4s3Ozuu/XBfCYIGq4on0+gTM707hwIIaovsyufI3LuIsR1gBWNwHXzyVATQxEU0DNIISogtScgRMT1XjhsXV10xsDYQ7MTZDMrjWhm79OnKVI4WaMiLYUX/kqh9hN4vz+LOm5p8rnv3G9+PcWrx4u0aEHYxnUVGT0YMCKCkYxhfO3wAaCB0DKBM7sSpLc3kgGK5H0KwrSsmgDwRfKoNIS1UM9dPgTdb70PSyxurrrjTAGor25a3t7QBgTEfNQSeqZ1ERiT9jyV9z59mRQ8xY7041TkgnGA+aBkAIrWImdsGX2pcZEtKrG4iELE8PZJ9NbijcBABCNmmsl2MBD5sWdsEk0aiCEsJLUs9yPXRHzQEsbBSWhpnnAPMlW1xvci53udPOciHmQHM3uaLy89Jwz377kVbqzSkJLZ7aVbp76u1N/LMXqM4EpojxivpY1S6lN5u6g7i25861L/ooz156svSSZYLETtgAAVo7OfYdaatIeSG1CCBFrML0pu7t8uzPTPJcYyvy1M9e6mL+h787crp7bEcGEqMTQsmYPVomWGM5sFREPQQIILriWNh7GKtGNkj2AEMLpifwNhb39725fqB6zelNfdhfbr/u78EbAup5I3H7gY/Fy5QxQqpOEXWTV2qS+afyeuFabJLZdUHpK2wCk7J4685AMQ1cd6L/R3LPzo+HMlSNwdUNdSuH7baSpFqJUZ7XaJDb0FEgQam/vLrW/7wbJRcxa7QUZRa7kgrF6/XI4O/uCuW3r+4LJy08BwGVsWXm1v+8G4fvNuLJyvnn63DdpNjOk5HPj/qmz3+g+d/izSKGGNjS4z9gycR/W9dTGuTIihCbvvuPjJJUsA+exUixM0Hx+nLfa887RY38FCCFj25b3smZzDijVu88+/6dKubwTm0YWABYkF0xyFpJMejCcuXJY6e3dTSwrz9qdJdbpTHsvn36Yd50KSClZszUnGfP9cxceM3du/5CMQlfGsa+UiltosTABGwgYbBip1D133scdZwUbRkbGzFd6e3Z6p84+sn6M8PwmyWQGrb03/lS0sHSy+9zhz/Jud1npKW1L3XPXvza2bL6fNZozvNtd1jeN34Mw/tI74WPzjkOCBCkFVjUbK5oNsEriUMMuqKl8HqTkCONJkFKoyexIcnj7dkCARBy5ajI7rFjpfhY4daPQ90zYqJwT/BWvJUyoQjQj4yxMPhW2qpMscGvcd6ux332VxQQmVAWEMCCEESaUqHqaGnZBsMiN2vWpjW1+P2CqaGoy148VLRF3G1cAoLn+N6JqFjUSJUSpjhAmzHdqzHdXpOAcAIAomok1PY2pamJFtUUcOSIOuyxw6xuJ0beDN03wJO2+fYSoludXL2CsGJnU8F2d7sILldqprwrBAgCAZnvqyUx65G5VsYvhqmwaVMUqrKVsLWOimKpiF2cXnv2/O935FyyztC2XnXg/QkSZXTz0n6LIedVNQAgv1luXHuN8dccymejfn89t/aAfNC6bRn6i3Zk9lEoO3e64ldOLy8f+mxCrNwVjelpVEz3DA3f9WyFF3OnOHQmj7kIy0XeToaeHAeDs1c8AQBgrph82ZxAiNJ0avgsAZLV+/hHHrZwFgLOGnrm0beLDn49ityIjR9pWeTchqk1AsTQ9NbjeHiGqOTJ494OmmZsowJYPCsEjJ+zM5bIT75uZe/oP2p3ZQ2sM35SiWKe3b/7IX20e++CfRLG74rhLLwVh60oht/XHEUIH15lAhBBBiKiGnhkmWLUUwQKFGrlWe+bZ5ZWTX1j1CMqOjQ7f9x9UahW6zuLx1Qnw/GFVTfR6XvV8Kjl4wHGWTs7OP/cZIXmUSY3cVS7d+Klkov/m5ZUTf8lZ6MTMb2bTo/cCwBdfGX+iAEgRBK0rQrAwjt0Vxl5tgNZsTT0J19R7Y0yIECzw/PrFot2z27bKuxvNye96fu2ibZa2v9nv3P+fodhaZuKTN/3boOYuiJhHiGKqJrQM82Nv4fFLfxM7r53sAQCYOjJabdH8lX+e/jXHlV3HFU6lyisYA7nrVvOu4QFl6MpcfEXT0NNh+FoDVWpQS8Qiojq1EmVqGDmtZOaMkpHVS82p9ln4AQie8bt7P5gZtMelANGzLbN37ljtYE82U9z14ZGfb8+7UysX2y8DgEwPWGMgATJD9kRr3r2sGtTKDNkT8EMkeN4KEimSSaZwZnmBX1FUpAEAVCt88fFvel/jHHgYvjW1AgBAT5kMPPiz9i93O6I1PcnOnzkZHV1e5O+ogRuLIX7mieCb+QLumZuJX5O88k5BCikRxhcb7ukmokSTEfP1gdxWkjBzMuZR58XJR9ViakjrSY8AQph1vCoPIse/Uj0NGOFwvn7osZ3IAAAgAElEQVQeJMi43p1vH77wUFRpzwAA+FOVk6zpLPtXqmdEGLvWRN/NiGKFdfy6krFK2FATWFVMf3rlZQCAcL5+QXARO6dnD4qYh3HLW+Fu0IqbzvKaMk2aI8U9kovIu7j0AnDJlYzVw7p+HVGiqrlEH02Z+dQtEx9S88kB7gXtuOlWqG1kozWyKFyoX2Qdr9o9Pv3duNqe5YaacC8sHA4XGheFF3Wiene++cy5r7KWu8K9sKvmkw9H1c4sMdQE98Ouc3r2YFRpTauLjYtYpSZ3wxZruhU9aeaxodpKLtGPKKGScRY33WX34uLRqNqe5Y7fQBjh1jPnvsraXjWqdebM8fJeQADcCZpK1u7FqmIQU0sihCpSSsm5FKUS+bt77tXev2OnclMUyvDcufjlWw6od61UxJIUIDJZnE/YMuk4stPtina1IpZyeVysVsWybaPko98K/+5979c++v98xvnd97xP/7CmIwMhQK4ju5cusbOqClqnLZs/9dPmL6I3Ud72eoiZ30AIE4yI2XWXTnTc+Rf6S/t/KYw6C65fu/DOfFNfAUVqyhXtszGEVQpqGmB1cd8VjZeuNbCVILknnekEzt7Q5rWjHVE/VqYjP5XChf0I4b9Y9+EpkYEfH1K2/UZb1I7CWhmbhVObTZTc5AvnciDd2QRO70zi3F4O3A3kq9Ob1j5LdEXjhCNaZzO4eDsghDBgxRfOtNzo83ItVpVniEHUtHF6u4XT2zlwT0V6CSNMruevwoH7BlJTHd44ZqHUFg7MXZ+XECA6AkBJnL3Rl+4MRUqKImoxGb9Jsk1KIUVIQc10RP1YEuf3ceCvUk4SpFhccrctakd1ZPYJELGCtJwvu5d98WqCBwDAF84UAkQC6S1U+dwjKZy/OY3zt9JV9UkHACCBM9s3qTf8bxy4Fwj3go3S2xXQsiZObooh7ni8fUFHZl+CZPcgACyBhxvHdTWWHlEd20Oh8BYiGVZ1ZPYxGbff7O6tkMyjoCQD4T5vEHtk47gmcGa3AmomT/seoKDYCLBKgJqu6FxXeevL7mUMRFWRURRIxGvElJrA2T0A8DdXRxtk3BK1I550pmyc3qEjs58iJaUgLbfhjvA0KZwYQJt/OU/67l9L6NIVpGW/n9LrnYQUUii2lhJcML/SnSMqNfwVZz52ozZzo07UCerMi10AgJ7bhhWsUR1TTIlOzfU24k5Qj5p+NTma3eEud2cEWyXPJBNx7IQtrBJNcsEVW01JJiI1pecxwUrY9FeIrtiIrJbtCC6YiHmopfSCYmtprBAVpBQgQRKdmt2Zxtmw7i2vB1hILrma1LPMj52w7lUwxaq33J1hfuwyN+5E7aDO1tSXsRO2sUL+KrO1uC81nt+THM1ur7+0eDCzvXTzxCdv/O2znz3yPw++b/OniEK02smlZ0TEg5lHzn520ydv+jcIISS5iGGNDA1bfg0r5HO5XeXbkmO5nUSnZv3E4tO5PeU79LzVhxXyGyLmb8ksXx8bud3ctuU90cLSy0qpuNm/eOkJfWLiXvf4iS/7Z89/G6RkJJEop99//+9pw0O3Cs9rAELAmq1Z84bdH0OUnl03O5YAEmFMhB+0sGXmhOe3hOvVk/fe/ZskYRXjysp5bWhwf7S49LJ//uJ3eaN5hbc7SzSbHdZGR+4AgMtIUUykqia4bk34fkvpKW4lqWRv58mDn2Gt9sbNr6eUQv7ral/v7o2mzTSXHaH53DirVC8gTbXUwcF97vETX3YOHf6ciGIfIYS446yk3/ee3w9nrjyPVdVCBCs0kxkEgAUQnMkgcrjoLqn9/TeyVmuOtdqlcGr6udX0Ic0GKXlca1wOZ64clpxzrKkno6XKaWyaGWzoI4Aw0YYG92NFObhu5Gxs3Xw/tsysZCwAhLFkLIgrK+dZo3l1zhdXq5e6Tz/7n6Ol5TO8+wphgQ3jkj42eidwEccrKxf98xces2/Z//MkmeiBd3BD8K0AIYSomShKziI937dHTWQGqZW4ELvtRaIZaaKZWQAARKiaGN72gF0euU1KwZYPP/rveRR2U+O7P5oc3v4A1a1C7LbnvcrsUS1T3IIwUZPD295be/nZ/xch/KiUQiKEsd0/fqc9MPFuNZkdVsxUn4j8dtConAkaS6cRwl9ar1ChdqovPbrzJxChmmKn+6lhF7GiWpKzsDNz7ptE07+qp0tb1HRuTMSxh6liIkI1Z2HyyajTuPpepmayXNh1x79SEun+5vkX/goh9LCUUqrJ7FByZMdtRq53l2Kn+nkUtAEh7Mxd/B4m9BFACKc33fBxozhwk2qnB6hhF6JOfTrqNmY6M2f/AQAOvxPj/6YIHoQwHh648+6E3bev3Z17Pgzb8whhIqVg+eyWB6QUXNdTg1KKWNNSAwQrhmUVtjluaSddjVFPAwBQoiWkFIzzyC3ktn8YY0wNPT00v/TCf72W3AEAWLsZztq51vjI/R933OWTrfbMM1xEbjLRv9+yCluvzB/8P9bJHYDViO9UcuDpcnHPz0Rhq+IHzWlVtXtASkja/fsQwlfNjCWA9IPG5TBoz+XSm+4XgocYU13XUgMA8CIAgB80Z/t7b/nbhNWzyw+aMwBSeH7toqYmyrqa7IU1gsc0cuPJxMDN9cbFbzrO8suEqHY+t+UDnl+f7HQXXtg4AYhjtz4yePdz/b23/HKrM/MM55EbhJ3FpN17g65lhmCN3UWAiWUWtupaql8CQAIQiWJneW7h0B9GsVtbvT/o/NTM4/9udOjd/2sxv/0jjActXU8PCcGjhF2+wfcbl5erL/+NfKXu/2GEsDIx+r4/zKTH7q3Wzj0cx27Vtst7MCZfXo9uRwhTkABR7FYQwhQTxcSYvirtAQCAEEW3zOKO1TQ11SrktrVdv3pW11KDmpLoIVgxFcUqcB52NCM/8Wa+cz9MEKoaxcG9n8r3734QXef6AKQM3cb04uXn/shpzh79YcjwpJBcMBFrObMMQnLJBXPm2pea5yovdKYap15PehvFMj53KTq7vMKWc1mSm19k864v3S3jypbeEu1ttXmrt0dhmhpqAPCal75gIhZMRKqlJNyqt0gUosUec0TsRZEbd6/zkdcFJgjf8as7+i9+b+HvqUaM8o7s/va8M+W3wprkkrGQ+yClrF3unAmduJ0dsjdfObzyeN/u3IHzj819pbQtc9Prta2oZrZ3052/nsqP3bNeQ33NVXC3tfjSwqWDnwnc+lvevXojSCml70mHECCajnQAAM+V3eeeCh6lFJQgWCV4EkmcGhpVNps2SnRaotE/RMeKPaSv1RC10yeiIwtzbJrzV4w2DROblo1Wvvi57mcQAtRqiFplic+1W/zq7oCiIlUK4IqKNClBptI4q2nI6LRFs9MWjTfj/YMQoFPHw+cNE9vtFn+VWbymIS2RwhlFQSogAN+VTqctmkJISQgipoVsVUWaYSGbc2BRKMNOWzTj10ldWttJqlz9bIxq1yS7XVj7txFHYYN/xrXHeJNLx685/luvc6nXviyv9U2bX+sTate7j274/9ekLmCFqkghupK2SiJiPggplHyyTwSRixSicS/q+DPVU97k8tWSIYTQxt+My2v/AAAgqnUWAGDhmo+ZgWvLOkzt9NIXnv73UgoBa6WL/nTlFELo9Ia2r23rG68ZiQ1IpnCqVMTpYy9Gh245YN9dKum9U5f5hYnNdEenI1rPHoy+u2073dPtyg4AyGIRl48ciZ4eHqabKhW+eOtt6rs4l6xWE5Wdu5W9y8tiIZFAqdvvUN/daMr6Q1/3/zqTxXnGZBxF8m3Jox2vcnpx5fjnNTXR43iV04yF3Uxy+HmEiOIFtYtvp+3rAQPWOAInjYt3CGAeAWphRDQEr1VOSpDCFe3zDVh+qsWrh3K0fJ8EyXVkDmhILyKElnO4fN+YuvvXq3z+HxzRPpvE2RtX2NxDRdr/gZZYec4TnUuDytZ/FUh3OoJwJYVz+7qsfu33GwBAMhm1u6JxQkV6XkopFKTlOMTd7/deQoAVBAgncX4/AaJHMqwjQERHVv+aiuM1BE8sg7or4AIGrPvSmZbyFYUKAkS55KEj2mc82ZnEGCsSJFeQmoY3UYItAWQovSUumUuAGL7sTl5rNkyBJhlE7Qwp3UlBsRlEHYKIjiS+zjsawJPOlCNap5bY1F8ncHa3iowSAqyaKDEOAAsmTo5tUff9Ryaj5iK7/JcZUrpzkU190UD2MJbEqLL5f+hXNv08AWoG0ltI4MyuUHoLQooNxBMiAAj5onu5K5qnVKTnYxnVVaRmV0sH3vh3N5ZRyxXtCwiQEkh3TshXFt8KqJlAeosNvvzEqt+QktDB7L92bNYhgIddUT/hivY5E6cmEjizqyMaJxWkZQgiGl/3WAIpVv2hEuMGsgYlSCZBcoroqzwVPbFKnsUybChIy6hIzytIyyG4/pi/05BCiMKNfS/GTtjWsmaP3Z8aT47ldtVPLh0UsYgSQ5mt2e09tHmucqS4fyCOnbAdNmlVTepXiSqsUQNRrITtoCZjHq2XlQsuGfPjrtWXGscq1ohCdESxygPmNafqp5kXdTAlSmIos5Uo5GhmR8/W7M6eW6NO2ACMMI95KLjkZm9yBACAua8megUXvOfWoUPeUmdGz1llezC92a+5C82zlSOC8Si5Kb87vbkYti6sHE8MZbZoGcNpnlt5oXWhenzip2/8bQCApYPTX8/f0HeP2ZMYJgrVRMxDs5wcXnp66uthK6gSheiS8XhVeYAwIpgkBtObtZTerJ9cfKZ5tnJ0y8/t+x3BeLT09PTXszt7btWzZgkA5n7Qe4F13c795Ec/KaLIU4qFCck508fH7g6npp/1z55/dF1lgDBe9k6f/Ubu4x/+E95qzweXpw5iTUsoo7kxJZ+7auyPEMIQs0D4fgtRquGk3aNPjL/LPXbiy+H0zCHhenWSSpbT99/372kmMxTNL5zg3W4lrqycJ5aZQ5SqCOMV3mzO4kSipI+N3oF1PUUSiZL30st/iwipSM6vPiesVr/M6o2pdRULQgiZe3bt1gYH9gYXLj0eT1UvWTfueVAfGb5VLZd3Fn76J2n+k5+gJJ3qI6aR1jeN3UMSdkn4fpNmM0MA8LzkIpZx7AMlavf5I3/GGo0Zta93t7V754f9S5ef8k6deUQEoYMIeWydgJMxC/wLFx9P3n3Hr3snTn5FGx2+XR8dub176PBnASAgppnJfOj99wrXa7BG84pw3TrJZIbY0vJpGb5SHcI73QoAVLCmWTSTGcC6lsCrps4MJAi6ZnrN6o0ZEDym+dwY/AgJHqyoRnJkx48hQjUj17Ndy5S2scCtJQY2vVux0/1Rp3mFeasJ11IILgWPY7eziKliYkWzBVv1IQpb1UuQBmBed1lN5UaZ214EhAnV7Xx2y76f9SqzRwGgBiClke/djSnViaqnVhkEHgJGxO4bv8ddmjkEaymomFBdy5S2AgIwiwN7vcrci2Fz5Tw17ILdN3a3WRrYF3dbc4AQRlTRMVFMQAB6trRVz5X/KqgvnQEAECzyhOBx2Fy5iBXNBoSQmsgMFG64+18jhCmPwy6P/Bbz3RpIkFZ55DZnYfJJyVhgFPtvBCkEVldV2TwK2tRIlBKDW+4nqn6GR8GbXm+9Ht4UwUOIaulaajAI21cIVi2sUq3dnTtcq597RNeyI5qW6OUi9qKouwwSkGUVt1pmcYdlFrdxHjmErMqwCFm9EE1L9QNCiFIzp1Az53qVNyzZ0fXMqK5nRlvtmacwpppp5jenk0O3RbGzEjP/NUlWnl+/FIbteQCEdS09CCClBMnTqeE7lqsnvwQAa9I1KSkx0rnc5gfi2Ku7XvVcKtl/83pc5zqarctP9Jf3/xImiiVE7FOqp6PIqRCiJdePSSeH7mAsaHl+fVLX00OGkR23zMK2evPStzcSUOtod+ePlnn8aYWaufUaQ6qYuWSidy+sTfAxJmrMgmarPf00JXraNPMTYdiZZzy4quBYm1Scsa3S72yb+Mjnw6gz73or54KwPVsu3fiplerpv92Y5iGlEOnk4BwXset7tUuUaklVTZR1LTW4Xk4HsNojQIBsq2eP51XPMRZ21tRYV0GJavWW9n66VNz5oOuunFEUq9B1Fl4s5nd8VKF6plI79dWus3hcoVaBUj2J0PVLi36UUDS7VB677VeNRHELuo7HhpRSJjID+zHV7MnjX/sF2JAi9o+F2I3aM4+c+a9WOTHculg7EbWDhlG0+xVbTa8lOlzXJ+bsxejsDTu0G+pNUVup8xVVQQrBgI+fCo9LCbLV5s3J6XgyCMV1z595ev6RxWOVp0QsIh7xEGGE9bReiP3YiZz4Tbvap3qt4XS/PTZ/vPZMut8eDTpRI9VnjQCAdGvB8sqF1ktDB0r39e3J3epUg6XaZOe04DL2WuGmvj252zh7fVNWM9WzozS8/xcULVF6vftlpwf2CsEiQrXf4Sx82zHKGCOczeNCGMhgYru6h1JQMllCrkzFF4pl2m+YzAIA2LpTvem+9xsfyxVIz2d+v/U/YoIWbr9Hv+NnfzH5W5aNkp22aJ55KTpSHqAjyRTO3H2/8eNf+Gz3/8IYHRVCymQKp+//oPmR0U3Ktv4hMpbNk+K5U/Gxuen4UiZHvtSs8xrGCI1NKJvHtyg7+wbICFWQMrZZ2QEA0KiJytf/xvlcMoVnxreoOzUNDMYgtpM4tTjHZi5fjE+ztfK8dBbnf+IT9i+MjNOth54Kvo0x+mshpMjmSfH2dxm3b9ul7k1ncT6OIYpjGT31mPeQqqEjo5uUibvvNz5UKJG+kXG6xfekd/lifPrF58OnMEaPiTfh0yT/CZpPv5k+iZhFCOPvwEY1ysbvoJDiWln0O0EIcy/swHVSJd5q24qClA9/1PjIb/22/QeWhRMAq4qu+Xk209+Ph+MIIs4ln5xk50ACbNmq7Gq3ZdMwkYUJEN+XbhRCqOvIaLdkU1GQqhvICEMZzM7yaYQAsjlcKJVI7+ICn6UKUgiB65Cxbw5S8kiI2MNYMUw9P6GpiVjXUmEQNCav9259u8AIq01WORhI90oS524iaLVcVkN6ESNMhdxYjiNFKP1FFekFDRu9ofCXTJIYx4joCLCqgJbtVcY/pSI9b6DEiEkS413ZfKlA+x5o89oL6ylIJTn88QZffhID1jSk9wC81pReSskRYFoiQx9LkMyuxXjy8yGyx4T8/nH2GBDFCKue6FyKZdQUwIMUzu3VkNmHAF33faIiPZ8lPXe1+MqzKtIKIfKukocceAAIhAAeEqCmJ7vTvnSmVaSX4U14PyAAZCB7SMV6sSMaxxWkFVbJk1dAkZJwROvMCpv9OxMnN6dwbi+TzFGRlqNIMZmMX5WKGkl/GQGiFk5OMIjaAFKuEXM6QpgM0In3pknhQI0vPtqnjH/aEa3TSZzZLUDGU9HLvxdBUM2J8r0ceBBI94oEEevIHAB45VmXUkQCVkkTDJgyiLttUXuBIi23WvQKb/g8KkhNZUjpziavPK2Cno/glYRKDqvqHg0ZZU90LujYGgIAaaDE2PUIJAxE84V7hUvmasjsj2XUDKW3oCGzvFbiFwIAUFDTWVx+F4Oo44j2ORVpWZCJ8WtLrxhErUgG1baoPt8VzZNpXLy9RAc/jNEPR8EDANA6Xz1m9ibHwoa3rFhqMrez50Bx/8B9zTOVI+5i5zJWiNY6v/ICSIDkSHZ70PRXlIR61csDpAR/xZmzBzObASF8VTkopVhdsGElbocNRDABCRJAAkIIGQW7jwWxl95S2JsYy+7M7ei5tX2xdqI727xAdcWK2kENpBRxN2xKIYVZTowQnZob70vzTOVI+e6xjwQNb1mx1XRp/+D9PQeG3tc4UzkcVJ0FkCARwSdv+YP3/p9RO6hVTyw8iSnREMFUMBFTU0lgihW/6s5HnaDRulg7rlhKKjWRvyG7q+e2oObMJ8fze9oXVscoqHuLu37jzj9251oXayeXnlFsNcXXytWoqSQQRph50VtaKGrDg7coxcLmeLlyRgRhV+kpblXLPTs6Tx38w1d56wghlFLxPGu2ZoXj1hBVdN7pLtNCfpwWCxMIoQuAMSBVMdW+3j3B5emDvN1eUPvKu+PKynnnyAt/sYEsWnFPnX7YumHXx+IT1S9zx61hRTGJbeWxqpjc81vWzu1/b9+87+e469ZFEHSVnuLWzE986DPuC8e+oPaVn40r1QuSseg1Po+Uako+P44o1ZXe8i6STPR0Dx35XLy0fIbYdkEpFbdIKaVSyI/Hi8tnzF07PqQNDe7j7fYiq9YuAQBIzmMRxwE19JQ2OnSrOtB/kz4ydADbVj64eOl76xHl1xmfw8AOBObO7R8KZ+ePacNDt6jlnp0A8D2az43KKPZZu72g9PRsD2dnX6CZ9ID38umvX/u8K/ncaPJdd/202lPaJhkLo8WlU4hQVekt7xKdzqLkPFLKPTtEFHvYMDJv5b6/E0CYELt39BY9XdhMDCtHjUSJh16DB16DeZ1lb2X+GEKYrJMbIKXAhKpEN3MgJYf15SehmuQskILHiFCjfvrQn5iloZv1XHlX7LYWtFR+zMj37gKAJ6SUMjW2c5oFbq128tk/Bil5fvcdv4Yw1aJu84qWyo/DOsGjaLZgsS957DHfrUed+tQqQQM4aK6cJ5qRxopqhu3aFNHtPLG1JKaK6TUqRxL9m+6lurnIAq8JgkfUsPM88tvrm83Jke0PYEVLdK+cf5QaVt5pVS+JKOjwOHLMYv9NkvNICh6FzZULUacxXT3+5H9UrFRfftftvxK0q5eIotlE1ZMA8MMheDCmupRSLK+89IVMauTuVGroDk1L9grBI86CtpQijiOnYhq5cQmSt9pXnu1051/EiKpUMXLrUeIYUx1jahh6ZiQI23MYYYow0dY9dr4fVNUuGlp6INQzo1HsrhCiJQlR7aDbflHK157PmN+KYq8mROyBFAIT1UKIqKaZ37JaegSrC0i5quBZqZ/+u1xm4r2KYuUBANZKua4ijt2q61XPmkZuk+83pqLIXTGN3CZCVHv9GMssblMVs2Do2TEECFFipEFKEYbt67LnUdRdYsxvhlFnkRI9RYhqEkwN08hv2jj2cezWPL9+iWDVJkRLbKxT3wjXq56LmVdTFCsPEkTCKu9RqJ52veprCDTGoy7nYTeZ6N9Pg3qGEi2pKnZRoUYW1ggeIXkcRe6K79cvqqpdUhWrtF4uB7Cq3Okv3/JL+ezm91dr5x5SVbvEeeRQoqUIUUw/aE2rilVMJQdv1bX0EEKYev8Icvq3C4QwJVRLSMHC2uLpv28un3/UzgzsKwzs+cTK7PEvghS8OLz/03amf6+V6t0NAI//Y/eJqMQo3NR/rxSS104sPs1D5ud2lgvF/QM/thBMOgBw7tpzFAXRdBLX/+G77jc8X3rrKg7LxCbGgLuOeEM/mGSvPTx0R98DSydWnlk5Wz+WHkpOlPcUbner/sLsocXH3mz/C5vTewqbUjt6tmVu6t2Zu8Uq6GXVVlJUJbrXDFaIhnUEANnR5Lbyjux+Z8VfDD3WAQDo2ZHdf/6xuS+/XtsYUw0T1eBx0Fq58sLnnfbiS9nytg/Yqb4bVmZf/EvNyo7l+3d/LFPafP/y9OE/hTcwln4jGCa27vox4z4pQG7aQnf2DSmjIKVMJHGGC+CBJ12MVxdjUSjDZlPUpASwLJRAsKqUuXQ+OjW6Sdm6vMjncgXS06zxlXqVL+cLpOfDn7D+h6V5dgUAlq0ETm7fre4zLZRIZ0hOVZHGYhnvu1V/19Sl+BzC6HEEAIkkSu89oN1d7CF92TwpvXwsfN7pynbvAB158GcTv1qv8mXPFY6VwEmEAFk2SsaRFr5wKHgSY/QPQkgRxzKOIxnNTrNLioo0QoGaFlZ/5hcTv5zJkrznCjcMZdBti6ZhYmvPPu2Omcvswsg43drbT4bzRdKrakhnMcQgAd7zQfMTL70QPgvvwIvpnzL+Sda1/4CQEiQhQNNpnJub5VMLi3y2VCRlVUXa8ePxYcYg3rZd2fONR4Iv37RXufXQc+H39u5Tby/kcU+5TPq/8+3goT03KLeUenAfAMD8HJ+++YB6t6KA8p3Hwofe+17tw729ZGDPHmW/44gOJUAsCyXeqF/rwJiqhpYZiWK3GjOvYWiZkUJ220+kEgMHHK9yCkAKU89NaGqyDwC+/k6ODUZEvUF/V75ABj7kS2eayajBIe40+cohC6e3K6DlYIMaDQCQgtQMB+aYKLlJQ0Yvl8zDQAwuuacgLWfj9A5XdC6mSeG2RTb1BQLUllJENb7wLSF5pGNLECB6mhTvJEA0DRllG2d2XFs+taqS0XKxDOuB8BZiiFsAIN4oIUSAiCWASKDsbhfa53VkDWrIKEcQrFxPlQQAoCA1yyX3Hdk+hyTRCVBrfTEbyWCZybgjQcQGtkdUZJQafPlJG6e3I4QOvzHxiDBFappB3OmK5ssWTm4mQI2rf0UYjyt7Egmc2UkUYoTCX2QQO21RO5rCuX0WTm2DNYX1hv5mAKQgSEkkUWqLhFUyhsm4gwDRJMnf5Ij2GRund7Z49VAog+UMKd45Fb38+6H0VwAANmt7cRJl9xhgDZoouYkiJUlXVUkrAKsESCzDOgfmUaRmLZycaInq8yZKjONVlcsbGvRTpGYEiMiVnYurZWdqGiGEpZSiKxrHC6T//RZOTnDJugK4zyRzsqTnLptldiGETq3P/xDCJEfKmzEiWgaX7oykvxRKf8nG6e2RDKoS5AbFFaBQeguOaJ0xcWI8lH5FghTXKnOEFPEm9cZFAtQyUWLcwPYwRUoSAzGvvY5/LMRe5CTHckft/tR4O6h5Is5sExEPujPNc9mdPQcap5aflxKklCAklyxuBTWrPzW+fj6mmAJCSArBqaHYSCFXrxEhwCJkPlKwChgRKaVABFN7IDVh9aXGlp+/8i0R87BwY/89sdp8k7QAACAASURBVBO1EEFUTerZzuX6KW+pe0Wx1RQPma9ljGJiKLNZTem5jYWnUTdsts6vvGCVk6OtS7UTSSaiuBu2vMXOdGZbcX/12MITAAB+zV1gTtSxB9KbrXJiuHWp9pJRtPv1nNnTvlg7EVSdhdrJxYPJ0dxOEfFAsbU0IADBBNPSRiExmtvZT7HSvlg9EXeCRtgK6qnx3C6jYPW3LlSPWX2pMTWpZeunlg9F3fAteZQp5Z7tvOtUWL0xQ7OZIRlGrghDh7fa1ypOQThulbfaC1hTrdUEpNWYDLWntN0/d+ExEIIjquiSi1hGkaf2lnfSdLq/c/DZP7qWDDE2b5oTrlcHjKmSz40pPaXtSFVNuUbWBJNTB7XR4dtIKtXHu85KMDl1UBseuiV1792/ae2/6WdYtXbJ3r/3u8Hk5ad4u7N0tX2CKSBA3WcP/QlJJsva0OB+fdPY3aLrrGDTyIgwdGQc+3h4cD9JJsvB5amDwvMaIEHyrrO2qSslSMHjlepFYieKxLYKtJAfjxaXTsko8q4dl3XwZnM2mJp+Thsc3AcIkIwjz9iy+T6kKM/aN+/diw09hRTFZPXalFIsTLB6Y5o7ztXkPYQQooX8ePr++/4NSSf7wpnZI8a2Le9FimIgSrXw0uST3HGqJJMeUHqK27CuJWQUveWAj7cLrKi2lilucVdmj5iF/psEY0H78sm/5WHQTgxsuhdRxcCalpV8be2OEQFAGISIAWNF8lXbF8FiP3Y7y1Z5+Nao05j2VuZe9KsLLxVuvOc3JYs8IdiAni1tA4AnAAA602e/QXUzq6ZyYyIKuzwK2nqmtI15nSVE6FUyG1PVRIQoksUQNCpnGmeP/DlgTEr77vt3ipXs5aHfZL5b42HQak2e/JpqpwcKN97zm8SwC5JFnprKjwHAi4gqpmRRgAnVJYsDkABUM7OdqdMPEc1II0xUZ/HywfXIekzo5LqBNKbKn1Ez0aMk0oMiCrtAiEoUPbEa+PHOCCHeXIkWIKyqdmmg95ZfNfTcuJQ8BgXkQO+BX+M8dGD1RUEkCM5Y2BGSR5xHTsy8erN1+fEgaEwBrEr0uIg9P2hcdtzKaQBAKTl8B6VmBgDq368PGFM9Ym4tCFszAIA9r3retko7MKb6tWqbdTDmN72gMZlJDd9l6JnhjrN4wtAyQ2sqlFeICqxYqcTgrZqaKAMgxHnkrquNrrbFo67nr5xHCBEhYk9VEiVVtYobCR6MqeF6tfOMBU0pBZcguGUWtiJEr2tQJ6UUXXfpJUCrZViE6slOd+EFhZoFjKm6alas6ELw0PNrF0yjsEWheorzyF3bLbqmPcE3jz1w0TTzmwwjO06pnpJScC6i1ygYuIi8mAVt169dMPRV8iVmfmNdbbXWopCSR6qa6EUIIc7D9npbq2lhOz9cKuz8yeXqyS/GsdekVE81W1NP5XNbPlCtn3s4CFozI0P3/C+uVz0Xx14tnRq+q92Ze/773ecfBSRIISULBY+9+uKZh3nsNZK54VsbS2e/sXDxiT+QEqSZ6t2VKozerZmZoR9Gn7BCVLOcGHbn2helXFWbrRq8CRa1g9co1gAARgaV0XvvMO+VEuTxU8Fx08CnRoeU0Z//Z6l3YwwYY/Sf3qh0p7Atuy8zktq6eKzyNAAAC7hLNKJrG3fI3gTa887U+cfmviq45HMnas+wgPmhE7dZIHwe81AwGXMm4ssHl74puGRSSE51Ylk5vTR7dOWJ2aPVJ16vbSkFk4LHLPYa1fmTXzGTpW12un/v8vTz/2Vp6vn/omqJUjI7fItu5cYU1czB2yB4qILo3lu0A30DZFTTkV7ooX2CSxH40p25HF0gFGgmS4qUIhVg9akcHKabEAK0TvpQihTdwIbryG6+iMvf+rr3xYEhOt47QId9X3i5AikVe0gfACx7rnSqFb547lR0bG6GXdp/m37v1p3K3rkr8WQ2T4qKAipjEBsmtpyuaLNYxhgjUl0Ri+U+MrSyxOa7XdEa3aRsO3WcP+953OkfpKO6gc3lxXh2cETZNDjCxgHgIoshLvaQPlVDeqshaggA9t2q3TO6Sdl2/HD4dLcjWsuLfNbpinbgS39knG6JYxm1W6I+PcnO//2X3M+5juh+/Gftf6moSK1W+GLvAB2BH8Cn6b/jRwMhgLuO7EYRhJ//C++P9u5Vbjt8KHrygQ/oDz5zMPqOpq+W+/X24cGXTsRHXj4Zv1guk/7lJTGPMceVZbHw9JPRoyOjZKKnB/chBOjSRXbm9jvU+069HL9YKuGyaSF70wTdXq+LKqWgFEukF9bk+m8EhZq50f67f6fVnX2OYOXPC9mt+22ztIvzyBWC+YSoNsJUw6/zbn07oEBtkFK0RfVQLMM6BmKE0q/40rnSTyf+RZLk9iKEvrVmmo1MlBjvIcMPatjsi2RQYxC1Eji7m0vmCWCeBJrgkrkUKQkm466C1EwaFw7MsYt/um6ciwErBCkJIpnDJXM94VzWkdlvIHsUNvx+SRDMwsnNsQyqTVF52sapbQhhdWPS6PXAZNzhMnY92bkkpAgjCFZUpBdVpBdfz1+FgpqOIWyqSCtmSc89Db70xFo5V8Rk7EgpWB8d/+d1vvTdNl95XgLIIhn4kI0yOxHCZzaqhg1sDxMg+nrKFwLAClJSHdG9bOP0jiTO71tBc48ghLGUQmDAKkVKwpGtc21eO0xBSYXSX3Khc15BarZA+j9IED2zniqlIC07om7/ZyZObY4grEUyqBrIHiaIGmx1jCWXzCOYWlKKCECKPOl7fyyDqie7kwCr89Ot6i0WQdSKRLDig3MlgbK7EzizCwAuAqymcI2qO2d76MgnOrz+Yp0vPMaBezZJ78jg0l0E0YMbY9IVpGUMbI84onlynahTkJrmMu4SoGaO9N7nivZ5DEQFgKDJV54JqbeAAKsxBHUiFbstqkfypPfHxtU9v7vALv15AmemECDSQ4a25mn/A5Hwl1uydgQAJAJEV02+vTkOV/shQ+kvCeBhnvTeryAtqyA1S5Gaxtcl96TMkvK9gfTmFaSkdGQPKUjLvNkStHcC3anGGW+xM53bVb49agc15sVdNaXn2pO1k/WTiwelECK3s+zyiIeKrabd+fZVDznmxV0R88hfcebiTtiUax48IuZxZ6pxGhFMpBA87oYNEJLrWbNk9SXHkmP5XVglGlGp4VW6s5IL5sy3L7XOr7zYuVx/WTAe63mLmiV7ML2ttD/uhE1MiQpXI35WPYQQRi+5c+1Lhb399wZ1b4n7saek9Fzj7MqRxpnKYckFt8rJ/90eTG9ODGe2ipD5K0fnHsvtKt/OA+YtPDn5NcEEUyz1m8yNu6lN+T2IIOLX3MXuVON0+2LtRH5v/7sAAAAjfP4vXvw9o2j1J0ey26N2UK++OP+9wr6B+/yau7j0zPRDb/UeEMPIIIyICMNOODd/bNXnhUfri9WNkHHsC8etRguLJ0nCLpBkqg+EYEjXkwhjupp4JCVvteb00ZHbka4lkKbZwnFfo4ZHhKi0WJiwbtjzIKvXpwAhBIwFcjUIA7jvt0ky8Yf2vr2fpPnsKMIYO88f+TPW6S7rI0MHaCYzaN+y79P2zfs+5Rx98S+xoT+06sODENb1FEkmy7SQG6P53Bh33Xriztt+Ja5WL8owckg6NcCqtcm4Ur2AdS0BBCsyZkFweerg6oWCBCFFVFk5Jxynqg0PH+COWwUEWHLxuqpzEcW+uWvHs9rIyK0gpJBR7Gsjw7fpY6N36mOjdwaXLj8pgqBjbN18P81lR+pf/tt/8ap7kUiU0u+7/3eB86j7/NE/M7Zufo936szDAAhhy8wjVTGN7VvfFy8tn8aWlSMJu7hW0vUjAaaKsaqewwQAoahdmwzqS6ellDIxMDGrpQubvMrsUT1T3AIAsGq7zCJEqS7iyJVi9TsmBQsxtYthY+U8rL5vMY+CTtSuTeq53t089FuwrvbBhOjZnu2JgU33qsnsCAv9BtWtvF9bPEnNZBl36lMIYyyFEJgqpowjj+hGNmhUzsbe6ljp2dJ/7tn/nt9jvrOiWMleb3n6EA/9NqZKwLzuspbKjWGqWkGruloWLgSXIAXGVBcscgGkRIpiKon0gJHv3d2ePvONjc/LVXJHUQ27d/QOszxyK9GMNI+CNvfdGvO6FT1X3omp8o4Q6m+K4BGSR0Iwn7Gg7XiV03HsVBEiVAoeN1qXH2c8coSIXMYjh/Oww1jQjpnfZLHfEPIVdpaz1ePCsLOoKlYxDNtzjrt0ci06+/uafAoeuQo185ToacdbOatQPR0zv2maha1rqpNXydcpNdJh1F2kRLUNPTu2qjJyl009O0bwK6QMQphmM+N3ut7K2SBszRCs2kJLDRBMX5VgISWPg7C7QKmZXaoc/3zS7tsbMadKNxAijIedhF3e43iV05yHXUIUCwAgYffswZh+XQj2qh8ASlQ7DDsLmpbs1/XMsOtVTgvBQ0JUE6+qjKLV3TUpNDXRa5vFbRKkuDaq/BrIKHIqftCcTtg9eziPXSlfm+4gBPOlYGEqMXBzo3X5ewBSpJJDt7+asFLNhN17YxS7tTj2akKKeN1QW1WsQk9h1ycoNdKZ9Oi9nAXtdnf+cLGw4yPV2tmHGq3J72pqqi+K3IrjVk5jTFRDz4y+Qd9/NJCScxZ7qq70FYdu+hlVs0uqmRpcuPT0ZwAA5Xp3/LhuZYYRIoqiWQWMiSLE24+f/L5dEpJHraCqZc1y6ZbB9/XcNuwnRrKF6rGFJ2InbF7vHNvCdrlEygQjcsctmTtmF+LZkUFl9NzF6KymIm1Nqvx9J2iKqdgs4qGR00tEJVp6MJHRbDU1d2jp2z9I/yvnWy/B1QSFdxZC8EgKFiqqVejddMevJzID+6SUvFObflZRzWy+f9fHiGJkMFF0qlr5tzMxNS2UGNmkbDt3Oj62bad6k+uIzne+4X3FTuJUNkeKQ6N0c7XCF1xHdAAAKAWl0xbNVJpkg7VI6DiW0dI8u1IqawO+K5yjz4aPH3km+O4HP2Z9yk7i9OCwMt7TRwcxRseFkA2qoP+QSuNcOovzkxei07ferb93/gq7rOnIUBSkcCaZqiHdMLHle9I9/VJ49O+/5Hx2yw71xo990vqlyfPx6WqFLzIm2Ymj4ZPfbYn6Bz9ufbrYQ/ovX4hPbd+t7geAi6qKNM+VXaogJQxlwAXwYg/pe/o7/sOBL71kGmfPn46Ou2vKL0LQpBAgXzgUPnHyWHioVKYDjMmossjnd9+kHXj2Kf/RNaLqvxM8/8QhhJTvfb8eSQny5Evx0blZPr0wz2cGBsnotu30hsuT7NyLL8TPHbhNfdfDz0dfWlzgV774Be9PNQ3pDz/s/02zKWtLy3w+n8elX/yX1m/t2qPs/9pX/D9XFFBVBdRvfyv4+0QSp+6/X//xA7ep91g2ToyN082wttP2RmA86HTcxWOmkZ9AmKiamuyVUsSOV3k5Zl79/2PvvcPkOM87wff7vspVnXu6J+fBIAyAQSAAZoqkRFKBCktZli3bsi2ns2/vfCvZu3d767O9sr32eddyWK0sP/Y5yZZs0YpmEBMokARI5AwMBpNnuqdzqPyF+6N7QBAYMCt5/Xue+mN6qqu+quru+up9f4EQxVIkPSn42x99ipGkY0RUAECecJaiODmpIbO/xJYfd0VzZkie+BQTtKFh41KG9O3pk8d/0UCRkSJbeczh9Ys1XnzRwY3pGE7vYUDdUPglm9fO6dgaLLHlxwQISkAyIiixLYKT2yUkR3uksQcUpKZLbPlxCckxBFh2eWjHSeY2gsi8AEFbBQLBmKBNRzSmVaR3ChACA9GvTnpaD75wV1xhzwXCzbvCnjMhttEXznIEJ7enpO77OqUBx+b1C412xDlBRJ1Qb1N94a4wwewKyz9LQI60i0EBA9qo8uLBrNT/EAceRElqt8vteQNHx0aUbf+pzktHOqXBSwAgFKRlRpTJPSA4VZD2q4HwShgkXQBwKsK6L5zlOi++JIESQwAEADgCJLUkRoJ7wlnWkaXEcOqmKi88X2OFFwblLZ/0hD2rYeNRDZl9G5Rdn+iQet9XZrmnPe4sVln+WYSQ1Cdt/F8phHUBgtZ56UiSdN5d5itPtFLPrCGCzP4oTt8UI2nRK23YGcHJSZtXz9midjGKUjtqrHAwhtN7CZL+WQAPBAgWwx3706TngVB4xShO7bJF/aKCtI5+eeMvpXjXvV3S8DEO3JeQZA0rWycslNh6IXjplwHgHEZY3qTsszzhLgsQosxyT+vYGsKANQDwQvArS3T6Lzcou/4LE7QRQlCVQI44vDGtIr1rVN7xmwF4BSrCmisal2useEhCclRDepeC9M5QBFUdRYYX2MXPXsX0RhgRTQgeNHjlRJx03BKKoCIjNbFec1SA4E1ePeOK5kyKdN1DRVCVkZIEeO35w9uF9v3aBoDH2st1KJ1aeR4Anr/2da/srALAn1z7etjyzPmLKy/8IcCaoTOnPCyfWnm+frl82lmpzyCCJb/iFhoz5TN+1b3CpAjrXnnxyUtfLB5f3o8wJvXp0klxjSS5LfVtAsBXb3R89kp9FlpSxivHRjRpSoQ84G2PtdAOGgDwzfZyLb58zd8noe1BhzBCzYXaRRayQLAbREm/DnDfb4IAgRXFYpRVWK2+BL09kyQSycK1z2uEKLRSmeN+YOubN72bNxp559SZr2HDSAJGBITg3HEr6uDAvmBh4YiczW4ChMh6hWmkqiZwTr1L0/vDXO6stWf3jwWLS8evZvqweiOPVfWz2vjYvcbmjQ8ofb27VUJkZtsF+8Sph+V0asTYOfmRxHvv/zQxjRQi5I+RJHGQJEUdGbpNeF7NPXf+USmR6Gf1Ro4WyzMiCOxgJXdG+H6Te36Du26F23aJe35NcN763AvBBedU6eqcUAf694arhQvB4tIxKZUchhvFdrcRLq+cBASIxGM93HWranfX1sR77vsN7ge20tuzg5ZKl2mpPEPzqxdY7ZUsKX3z+P3ayPAd3oWpJ4wtm97jXZ59nlWrC0hVI+65C59Rujq3Ru+O/XKwkj8reX6DWKPvALyeP+V3B1iSdSyrFpZbRTIWelc84kK7vmL1jr7DrxUvIdJ+zhaCc0rdNdmT4K1nVsFYKDj1OacBVlQLEJZAcBbUitNW34Z7MZENJZIcRAghPd29NTVxy8+HTjPvrC4ecXKzz6uJzEaza+hWxYr3OpjIV/yYiKQIIbgQgl1NlvDK+fN9d3+kBgCgJjLjod3yCOI09DO77ilhWbUEZwGWZB1hIhFZ8XgY2iIMHU5bhtkgBGeeU24uXz4A/Ppnb4QQio/t+IDZPXxbaNeWmwsXv+UWl0/ERrZ/WDYjWdmK94p13vdm8LoKPJR6tXJl+olopGd3sXz+m4beMS5JapQQNVquTj/peuXp67TBWFIkSYsRItuMtQ48CJt5IQTT9dQIAizJsp6q1eeft4zMBEL4gFgnyWENrleZDYLGSjIxeh/CRA1Dp8hZaKtGdKIzO/ljkqR9Zi3hCSMixaL9W1Ul0i3LRtJxC+c8v7ZgGKlxQhST8Zepa1ywwHEL5/PF01+KRwdu59wpCuAUY1m/ev9CCJFJbylgRBRDT4+bRmazqXeM+35juW04zWr1+ec7UhsfTCfGHqg1ll5ECEmM+Y1Ucvw95er0ExiR/Vy0TMAkolqd2cndimJ1qrKVLVUuPgIAELV6dtfqCy+sFca4oD4AIEW2Moz5TUq9qqGnxtoys+ukaYpidcqykeKCBRjLGmtJ1K47r5xTjzK/VmssHtLUaI+mJYZMvWMjwuRKNw9jSSNEiTAW1D2/thAVfA+suZBLWkzTEkNNO3fSNDNbVnJH/kxVor1+0Fip1ucOCCGEpsaAEMVKxAbvIFg2VDXWa3G6nWBZZTx82yfmbxZCcMZZ6CAsqVa8Z2dp6dTDMUk1E9nx+zv6dnxUNZJDqpEcQgghQmQDEH7VbunbAR5QrzFXOa93WL16xupVoloqbPpVLGNZcFhXInL2YnA2FsHRu27V39Fs8mYmTbJ+IHzPE+7f/VPjC4y9tjdKbb4xZXboXR2bUru6d2TuYCEPcicKz9lFd+XNHAeRsITaVGgWrt/hQBhhNSLHVEuOOWV/NXTpDamuAACCs4Bz6statMuK9eysrk49EesYvbtzaO/PyFq0S7fSo7JqpFr7f2sFRd3AJggQqJ0Ve+wl/8D5M+ExjAF/8IfNT8xMhWc1HRm+L1qUUg4cAaCgdd6dtdd0A5m1Ki+zUISyDMrKEp9zXeHIilDnLocXdR2ZCAE2Lazv3qfu27FXvUPTsdHZTfpyy3TB98Dt7CH9hICEEICqIc1zhRON4eTBb7tfrJZZSVHQ/oFhacOmCWXX5anwTDpDuhbm6KUwEOGe27SXtu2M3EwIIqUCyykqUnQdcSEAGBPMdURTcOAYIxJLoNSe25R7n33C/brniivXgjHBMUYo00l69t2uvWtgRBpXNaR3ZEn3+TPBsWgUx72UeNVr93YCE0nB7UI859S7OtpSUvS4qsd6ARDQ0KuFfiP/eqMv/2dB4INHqQg/9avWb5XLvMAo0M0T8o6BATK6abO8fXKnsi8SQbGb9ii3hSGEGAGiFMJGg9c9VzhBCIEQILZMSDt0HRm33KLcrShIeejD+scZAwoIUGcn6ZFlkBkDPr5R2vp6x8ZYYMes3m+nEuoDCAA1ndxJSVJjpp7e6PqVGUU2syH1yo5Xekvyy/XABfOYoC4VYU1HkSFHNKYd3phOkM67uKBOAH55VNnxW610JsGpCBt5OvePZZ5/lgvu6cgaSJLOOxu8clIIwRFC9RovHdaw2a8ha2CVzX+FAXMjOLF9TJn8TQUZXSW2/PhceO4Poji5M0bSe+q8dLjGS0fSpOcBE8U22KJ2QcX6PxsoghhQBwGWLRyfECCYivQsWSdS/RXnE8JGheWe6ZM3/mKDlY/XeemIJsx+JqgzIm//TxyYX2PFQwDw0wAABGRLRkpCQXoWA9Y0ZPZTEVYRYBUAbC5YqGHjq1Gc3NUnbfj5QPjFVTH/8Aqd+UK3NPxjUZzenSLd72z5uRQPVdnqgQTJ3qFjawgASq1tqx0RnJxUhd6tIqNHRkocASYAEAoQjAPzWylVZp8AwVbZwtejOLXDwvEtZZZ7qksa/vE+aeMvIYQwF8wv0eVHi3z5WwF3VwiSI0mSvYtCUGGC2kJwHiPpE6HwCirSu21ePbdML/9Vh9T74IC88X8zUHTM5rUzS/Tin5o4viVD+t5HgTaLbPnxOO64dYOy63dtXr9QYbmnG7x8PE/nHu6Rx346EF5eZoVUma08GSeZ2yM4ucPE0XGCZKvMck83efUMwliOk8ytAHCOgKRLSI7pyBoAEEJFeicAIrglT6sKIbiElG+t0MvbstLAQyW2/BgHHrTNqyEAN9/glZN1XjoccG81I/V9II4zt4Tgl+u8fCwUQcVh9fM1Xjx01eVHEsgRJpijILWDirDGwctrYPQKWHfOLaDNBqry4iEFaVkJlNiaFRFCGKtGvF/Rol0AcB2THAAEDb2aZ5emOfv+meetB05ZEDb8auHw4pN6h9VTmyoeLxxZfPpG67OABQDw3HdiLMyjbzp182q0C0yv2BZCCMlqJKsaiQGE0LoP/pyFjmeXLtOw9RwVLC4d1cc33NveKGeNxip33Zq5c/IjWNNOcu9lE1gSsbIgEVXJ9IyHufzZtajuMJ8/1y6KcH18Qx5ACKQohmA8FDT0pFRqGK4yAkYYk8htN2f92bmDrFZb1EZH7pQ7OjY0njv4uevG6/s2wvjr/qXL+7FldujjG95pbNvyflquztNyebax/8AfaSNDt5k7J3/Ym5reHywtnwgWFo8q3V1b3bPnHsGGkeRmYHPXrTqnz3ztZRnWK4EIIdA2oRec88S77wuwYSSDpeUTrFZbEpzTtm/MqxY/aaU6x6q1JaQoBmvahXAld1rp7txae+rZ3+e2XUKEyFIiMWAfOfZ3Ighfcf3UwYGbueOU5K7shHv+4uO8aReV3p6d9f0HPsM9r6kNDXKsalF9w+jdJBrpJBErK3ekx+B71GxjgV9HreIdEowFkh7JrP0PIYSDRnWeh35T8JZfFMJYks1otxrvGA2qhYsIY4kz4UlmrEtNZDcy361KsmIAAiSEEHpHT4UHfgMUQIAxwZJiaOme7Wb3yO21y6e+Ihj1qO9WdFm1JD2SBYwlhImMEEZCtIp1nFGPgBaVtFd6FQkWeiCEwERSBWP+y69TnyhalKh6QtKtDMKYYFWPqdHUMAv9BiKSDIAgdBo5FvpNQQOHqPp1ygcsK6bVO3qXGs+M+7XiJc5owHynIulmB1H1BEIII0LeFlP711XgEYJzWTa+pqqRbi542LCXjymylc12bPvhnq6bfrZYvvjNWLTfj0V697bkTwiPDr0rqimx3kL5/NfbyUwhY4HNWGBn0hMfyRdOfqFYvvANjCUtnh26IxEfvgtj8uzVzIhopGcXIWqkWpvZD4Dmi5WpR7oy23/U86tzlPp17EiaIlvZro7Jj6lyJJvtmHgmpF61t3vf1nRy/N1+UF9u2vlTCCGJc+quFW1o6F5hQFDq1VQl0t2d3fmTGMu6LGkJRbG6ECbXecUIENww0hsECM5Z6KhqrE+StBjGRAEAt1qb3W87xXNC0MDzq/MYE7Vpr56ORfv2jQy889Or5ul/SCU2nCFENoYH77k9YnbvqDXmX6h6lcsIYYlzFmhqfMD1ypd5uzPJOfUkSYuqSqSbEDVKmd9AiKiKbHRAq8NxDRAqVS49LjgLFdnswEjW15VzcRZyTgNJ0uJcCO779UXTyGxBbaNDhBBKJcfjYegUPa8ym06O3U+IbIi2OTXn1AupU1RkI+37tXlFiXQn4yP3zi7s/zRjLS0qxpImS1rC92tLdlA46/n1BdPo2GwY6XH4Purytwo8+mhjFAAAIABJREFUgdMy7EVYs9JjhMgmkVSrtHTqYSF4OLDlgd9SjXg/wpKCXoMO/3aABSxQotpTyYnOWyVTifCAetQNm425ynlO2brVXUpFGNKW7t6ycCSVwKmjJ/0jiyt0UdeQvt57rkXpYuVEpNscIjKW9eFYRo2ShJkxujF59Q7xejASauqmj4//rJFQM5X5xkWE0f+41sgWE0zG3tH9YNfW1F4tIseXjhefwwR/gb9K50lwFnJGfYQQBoSwHslswpioQgDPzRz8nG6mRno33vMfJVmPISyp689BXx9UFWm+J9xYAqdMC0XLBb4Wi8o++FGL6SaydB2ba0U31xV2K20KWBi2CrCMQtisi1rN4KVoDCU0HRmcC3HnO/XL/Xdq9ydSpCPTRXoxAXLfg8ZHh0blTZUSK3DG2cwUPzc0Km/iHJjnCoe39oOIBFKzweuxOE6t7TsIRLBxQnl+8zZld1cvGcwvswXBW5MO1xaNSomtBr7wOAeuacikFMJ6jVcwxthzuQMAwBgwWQZl+kJ4qlHnFbjm5KUzuOtjPxP5d3aTNxp1XhUCi4UZOtU7II2EIQTzM/Rtf+C+FpKsReLZje8e2PLATbJipgQIYKFX7dt4b4kGdoFRvzk08d67YpmxewEAfLc6V14+8zVJ1j5Pw7eeTPAvBWfPhCd++z83PpXtxN3pNOmUFVCOHgleOHoE3pCMdvUptsIY0GKBr2IMOBJBUdNEEVlG8ikUYgEgXFc4B571vwX/4fVvt2EvH226+VOcU7/amHvO0NPjUbNnN8aySZlbdrziVNPJn36jx/1a4MA8jIhi4cREjs58UUZqOoITE01ePTvLzvy+BLLVJQ19TMFa2uPOsgDuK0jL9khjP0WA6BgRlYqwkaMzfw/Qag7p2PpGlzT4UV84S75wl3VhDV0Kjv3HjDTwb6IoOVlh+f0COO2Vxn4aA9EiKDkpEzXZ8s7htIP0vtfhjUsYYTUQXi4Qbt7miJgoNm6Q6DhBcmTNx2W9YxJCCAVpX2sxgiRDQVqmxJcedUTtvInjmxWkZlRs9KytT5BkIcCSyxvTrmjOhCIomTi28Wo5l8edZRPHfm9UmfxNHVkDVbb6PEII13npqIzURJEtPVplqwdMHNsIILgEUkRFejcAgISUOBfcd0T9ks/dFQSYEJBMaBtLC+CUA3NNHNtcZrlnQuGXEyR7OwfmTYcnfzMQXj5D+j4YI+mbWiyjsEFAMlO46x5NMvu5YK6C9M5L4bH/m0JYAwCweX2qyWtndWQOVFnh+QTpvGs+PPcZCSmxPmn8F0ps+VtNUTuXJj33t4oaPNFJBh4KwC9xQW0LxycwIKkRVk7LSP0rGamprNT/wSavnqry1ec0bPQiQMgXzkqRLX1TAjUpIznKBLVNHN2IEMIK0o22KfW0J+w5X7jLMZzeR9DLZsdUBHUJyb/niMZ0hvS9XwLZsnntvISUuIbMPhPFN3PMPYNYoxiIukAvfNYXbk5FeicX3C+ypUeZoK/wApKRmuyQet7T5NUzy3T6ryUkR6IkvVfA9WEGCBBRkNphi9oFJmjD4Y1LEpIiqH0vUI14/8jkh/57PLPhnWgdrwghBPfs0uX5M4/+XxiTh9dSWb8vwYEznzpEkTSzLzamnFNfRBjha1k5P+ggsh7r3/yuX8/07/4JTNaRtQohAr+5unLp23+AifzfOAt9f2buBe44FaWne3uQy58FSgNarsyZO7Z/WDAa6GMjX2f1Zl5KJQajd93xoBSP9XiXpp/htl0C0moUs3o9J2jLZ4X7fl2E1EdEUgQNPVqpzhvbtnwAq+ox7reCMJTenkl9Ysv7EEIYq2oUqaoZFgpTYS5/neckwBU/vCoAVLGqLmsbx+6VO1KjQRDYrNlctY+d+IfIrft+Vunp3uYvLB5VujqPecnkAABCwDn1L888Z+3Z/eNY1+Pm9q2PeNMzB9a8b5AkyepA315r357NWFX/dm2MgrFQGx2+s/H8wT9l1dqilM1shFbR7FUnmoIxlnjvA+ciN+/5BItGu0gi3g+chdrI0B3c82uAEQkWlo4GS0vHryVM8CCwBWOhCIKmoNSz9t30cefEyYe557XICgRLSJZ1WqnMsXo9JwvBld6eSUTI19aT1H2nwQOv4RYWj2rp7m1EVi0hqxGiGnEQnMaGJyYxkTQsqZZoN90QJjImkkbt2jJWtBiSZB0Cv8E8uxw2q4sIEQkAYbT2LCuEECz0mEeDlp+OpALnlDr1HPPdamLDzh81u4duV+OZ8dCuLwkaeghhCRGiAoAHgnOiaDEe+g0sX21LAgCYSAhj0mLkvHwdOA1cTgNXiaXH2ibIiChanPlORXBGiaonAQESjPrx0ckfcvJzB9V4ZjzSP970K6vniWrEZTPajbD0ouCcBrXitKQZqdSWfT8TG976AS3VtdUv585St1mUVDP5dlyH1/3QFoZOuTu7c4lSt4IQlhTZzCiykW40l4/2dO76hBAAvl+bx5ioftjMe3ZlNgjsfNTq2VUonfsqAISU+Y1SZeqxns7dP6Mq0W4zk9lsO6tnJaIlBnpv+1Q2veWhwb475wCEwEQx+ntuGREAwnGLF32/vqwq0b+LRwdu6+yY/NGmvXKCMq8WhM08xpIWjfTuM83sVkrdar2xdHgp9+LnNC05HDGzWwnRYpyHjq4lhheWD/3J1bGUhCgWpV61Up99NpPa/CFCZItSv3aj8+B61bl6Y+FQIjZ8t+fXFiRJi2EkKQDgBqFdXFp58X+MDr7rdzJp8kHXLU9zQf0gbK5iRJTOzOTHwtApeX5todZYOFhvLL0UjfTuiVjJYYxlg/PQxVjWS5WpK3IYzkNXVaK9rlyZdd3ytCzpCcZDuy1rm73+OtlFSt2qqkS6KPVqimx1rkeDbMu2eDzafwtlfl3wlm8SuhI7jZAiGSnOqauqsb5KdebpjtTmDyqtlK1CGDpF2149Yxodm+uNpcOU+Y0wdIqpxNj9mfRmT5L0+EDvbfsAAPygsWzo6XGMsdywV44l4yP3amq02JL0Bc21yPrvGYRgvG3qhRDCdnXpyMK5b/262yxepIFTNmPd2xltueO3bo7f+QJPe1xCcMHMnuho4cWFxwEBWL3xMUmXm9QNryvuDQ/Iw+++x3z32Iiy4dxF/+zRk/zI5BZ1cnRIGUMIMLyOoppX9ytaTP1qtMcaauadRepSu3y5djZ06BsybMMSlnb/6NjHeyZTt66cLB90q0Fp3ZQiBKBFlYSkYHXxWPFA97bkzQuHi/sBYP7Gp4WFa8bsCGFSXj79lVph+mnPLs/Q0K2lura8b60z0GZ4vGlqebPBa7EETq3m2bLdFPVECl/pRHiusIurLDc6jifWGDypNMlu2qbs8hzhKEorOt20UHR0o7zVc4UdhhBIEpIBAPIrbKFW4SXT4pYsIyUWx4ndN2t3qRoYuSU6Nz9DLx464D3xyV+L/4GmId1vxa4LQACCg1AUpCIM2IriK10C3xOu53In00l65i7Ti0K0jtv3hddeNybJICsqUkGAMrxB2hyLk9SlC+EpAIB6jZVdByn5FbaoKKBKMrwiQnlgWB7ftU+986Xn/afKRZp/8YD7hCyD8rGfifw7jAXmN2CXvV1ACON07/b3Dk9+8I8wJmrg1pYAYYwwUTAisgAhEAAish5DCGGEiaKZiQEjkp1w6rnTAPD4d3J8P0hYWWGLAPBnGCOsaaBhvH5n9/VACOCeJzwAELIMiiwjBWPACAESAMAYUNd5Y+yutmfJGuMVF8rnvtKwV46pstUZUrfScHInKHXXlau+FbQ82QQPhVeMk8ytMZzeo2Gzv86KL/rCWbRwbEuDV46bENukIbOfA/cFsKDElr+FABMV6d15NvslVzRn17bpCXthPjz/h1lp4KExMvmfMUiGho3uCE5OVlnhYIyk9xGQzDl69g9SpOe+JM7eDYBIINwVBswjIFscmK+ClsWAdQsntsZx5hYBPCyz3FMyKPF2c+aG379AeAUTx36nTx7/hRhO70mhrnsAECmx5W8RnNDFVZNZCSRLAjmWIl3v0rjRZ4vaWQ7Mu3YuYfPaBR1bn+wgfQ/2yeM/7ws35wl7ri29WuqRxj5h4uiGEPyyLeoXGrxyDABABiUuI60jQ/o/2EDlo1QENQGCoZebUUIIIRhQW0ZqqlMa+LCGzAEGzLV57UKKdN1LRVCtseLBKEntEaAkOfCgyaunKiz/rIljGyv84ucqLPf02vyCiqAeIcn/3i9t/LcjyuSv69gaMll0g46sIU/YCxo2+yMouaPIlh5r8tr5Tmnwoxo2+yShxAu8+rUoTu1qALUBAELhV2Sk/L8NXjmWIl33Wjix1RP2oiuaM56w5xO48+61ghQTYX2JTv8lAAgCRJeQHI3i1C4V6T0NXj7CgTlwTWIaFWETIfQ3Rbb8iIGskQTJ3pHEXfdw4EEg3LyF4hNNXj0jgFMDRTdgIFqVFV6wRe08E+syYImJYpsAI0mR9W4MWMKA5VD41/n5IcByjKT3tNp8iERxaldAvQJcKfAk+s14z05AgAKvkaOhW5UkLSqpZjr0mwWEsKSZyaGukVt/qVGeOwivci//XkMIIZgbNvVspN8r2EvMp+4rUhH/hUCStXg0PXwHwkQOA6dM/WYBYVlV9VhvGDhlIVggq1Y2M7D749XC9NMAcIgHgatvGv+L2Dvv/vciCGwSiWRJNNrJGo28uWPyw+pA/17uuhVars4RQ0/4M7PPt7R1CIEf2HIqOeScOvNVQdvMWUoDEYZOWCheEpT63HHKSn/fTbF33fN/Kj3dX5RSicHYO+/+ceF5DU6pLxgLMEJR5/S5b6xJa6R4rDt2912fEpxT9/yFx8Nc/ix3nLKgLFB6use57ZT82bmDSJJUEo10gQAhGAt52wA5LBYvcd9v0lLpMm/aRaW/dxd3vSqOWJnoXbf/79bNez/R8fEfa/Bms2BsmzggfL+hjQ7f4Zw6/RVoN9QF5zRYWj4uGA+Vnu7tQgiOZFkD/NrPBf7c/IvGxJYHue83oFZb9hcWD4t2DD1gLDmnTn+VX8PeAQDwZ2af10ZH7gwWl46xWn0FybKhDgzs1YYGzpFIpNPctfN+QAixplNSB/v30mLpshSP9yndXRPENGa55zeulrh9p8EZDYiqH1RjHWMcMJEjiYHUxM0/FzYqc4CxRN1mwewc2MdZW2KNsUx0K01UI8F8p4qJpCGMiaS2goqob5clw8quGW0DQljwlhcnkTFBhChBs7roVYtTQa003QQQVu/o3X5l9Txn1NfT3dv0TN8ut7B4VDajS3q6J8SSpDEvsLGixRAh8lohjDqNHAu8OiKSAlelPgvOQyzJemjXFjkNXUAIEdVIEM1IUM8pYyKrAIAa8xceNzsHb4kObnmfk587FB/d/hBn1PPLuTNKNDXklpZPBrXSNJIk3a8WL4EAYXYP32EvTe+XI4kBrKim2TNyp5bI5INmbYmHbz4F+A115W23eGGw787/UCpffMQPGkuMUxchhCkLbc8rT+taYthxy9NNO3cCYaIgwEQianTtpi0EZ5KkPRqxund0ZXd83PdrC83m8rHl3Euf6+2++d9KkhZPJkZGHadwoWHnTth2/nQ6ufF9upYYAoDlIGzk5ha//btjw/f/viybGcZDF4QQIXXKCBHJ8yoztcbCoTC0C8nE2H2J2PA7HGf1XKOx+JIf2nlZ0o6UKxcfubqgQIhiEqJYlpHdFlK37Pm1xXhs4FYhbiAnQQgLwWm9sXgopE5RVWN9qMXgASE4I0R5Yil3+PNd2ckf9/36EkJEptSrEqJGQ+pWms3c8aaTO4UQlro7d31ClvREo7lyrFKd2d9KnqrMOG5pem1/QnDKeegCIMS436S+V0visftVJdq93vja5syeIpsdGMsGQlheL5q8NYnl1PPriwRLer25dFhRrOzauggQlhWzQ5K0hKpGezU11keIYilKpAsAzlHm212ZyedNM7NF1xLDy7nDnw+DZl7XkyPZju0/Yhrp8Xzh1JcKpfNfy6YnPmzoydFGc+WY79cW49GB200zO+F65Znc6om/AYCZN/I5fLshWlPJEAAg9Jv54uKJLzWrS1f8Y6x475V1MZGNG1Fc304QRVK73zHy3sTGjpvMvvhYbap4HEtYli015lecVWibPl4NSgWdnQ9nvv64/bUjJ70jgoPoSJOOu24x7rId/rp/JLyaX1YshXo1vyRpkhnpNgf0hJqGdZK7boR4jzmUGLTGVUuOYQnJS8eLB9Zbj1POOsZiL8X7rFHOBYtkjR4rq/fCqxZ4Wp9dAACvWZwqLp78ku9Wr0t2AHjrEq1mg9enL4ZnxjfLk1YUxzqypFtWkKLISHnwI2ZHGIqQSCAHQavAY1ooWsyzZcPEEdNCkWIBVhxbNGpVXmZU0HiSpHE7Ltr3hGdFcJRRwaIxnOAcOEKAF+fopZ5+afj8mfB4IkU6FBVpriPswBcexkBAACAMmDFBnSavR2P4CsVUN5BJKdBmQ9TDQFyhl4aBCFxHNIfHpC21CiphjIiqIjUMwK+UWCESxQlMgPie8G6/R3/viwe8J/qGpDG7KeqmiU9F4zhhRXE8mcLY94WfW6LzvYPS6Lefcr+xaauyW1GRVinzYstcGqHXMvN+s0AYS9H00O2yYqTqxcvfPn/orx9CmMiyYnYoWrRL1iLdsmImsSSbmpkcSnRueo+sGEkia9FIavAW+NcCz3Vox9q/ndI6D15HmtAbQSzSf6uqWJ2V+uz+WmPh4Nqv9tu5jzVwYD5GWO6Qet8XCr+UwNk7ZaSmFFA7kqTrnQDA6rx0JBRBNUGytwMAOKJ+URdiuMmrZxbo+T/2hbty9fhahsz44QrPP2ui+OZW8pSa4qwYMKB2jRdeqLHiiwyoU2K5JzvJ4EcMHBlFgCQV6dkqX30uEN5qBCcmYrhjjyas/jJbfsIT7lKSZO8iSI6g19F4sHntAkbkVywU3xIjqd0K0jsxYNURzdkaKx5cW48Cba6y+YclUBIArXlPmeWeZiK8jgHn8uY8QvizGjJ6Yzi9x8CRUQmUuIK02ymE9QJb+HqNl47YvHZmjVkSgFdYoZf/pp08hRBCpMYLBznwAKCVFsaBuTGcehcCJMVI+iYDRUY94Sxpys7fabNgpuq8dNRE8U06MQeavHqaCxYEwivk2ewX67xy/FrZf5NXTl0IXvplE8c2Gig6piCtI0R+WQAIhzdnKnz6/wuEV8CA1SavnIyTzO0YsKwio9fhzZkGr1xpkoQiqCOEvlpmuWeiOLXLwomtMlLTCtKyAnhQYfn9TVE9W2elwxSCqhBCqFh3C2zxGwrXsiBaB15m+f2hCK4rtLTZWAUAKGCEX1oMp/40ghOTFk5MaEjvAQDkCXuuwvLfdkVzhq/jtdg6lzzM0Zm/jZH0Hi54yIG5AoSo0dJLTV49e+36NV485IX2wiqd/7KKjZ4U6Xpnk1dPC3jZ0wcAQeg3C7OnvvHJRmXxpd7xd/x7zUyNLpx7/NeIrMeHt73/M2aid7eix/vg+7jAw0MWRIeT+6NDqYnQDuq1qcKxt+Jb8/2LFj2ds8BZufTsf8vPHfnL7MDuj6f7dvzIwrnH/5/Aqy8PbXvwD4xI5xYz1rUNIfSiEEL4l2cOuKfOfNXcOfnD3uWZA87JU1+R0qlhYpppQakf5vJn/Nm5g9gwU/qW8QdYpbbIg9BFmhZ1L0w9GSwtn1gbgWAs4L5vs1ptGamKiQ0jJcXjfcLz6vr42D3ahrF7WLW6iC2rA6uqpXR1TrgXp57wZ+euMEqRopjq8OCtJB7rMbZteX+wtHIyXMmd5r7fVPp6d9Ji6bKUTo9gXYvRQmlaSiX6sWEkwpXcaQAAEVLf2Lpl2ti65QP+7PxBrGkx7vuNcGn5pEglB2m1towIlrzpmQOs0chJ8XifoNS/uj2I2gVApTO7GVtmGgEg7vmN15N8FK4WLrB6fYXWastyJjNOTDPNhFgNV4tTYS53mpbK6z4LBcu5U7xpF0g02sUuXnrKOXnqn9SB/psSD773vwDBsnP85D+GKyun9Y3j95F4rKc5Nb1f7e/dGb37zk8Kz280jxz9W4Txc9/NBFDmuzVJM79gdA7s82uFS4LzUHAWcjtYUaxYrxJNDq2ZGyNMJEkzUkQzUtSzSwgTCUAIyYx1G9n+ve7q4hEeePU1nyOEECaKHneLyydQTNYAIeyVVk56xaVNciTej4ikUaeR98q503IkMQBCcCUSH4iNbvs3QbV4iYV+Q4mlR32+GiJMJCwpBgDUAADaEqysYKFHND0OV0sIiawr0dSwV8qdaa2rxYiqJ3kY2GtsxrBRmV898tTvJDfv/WlJtzqUWHq4uTj1FNHMNA9DFyGMazNnvh4b2vKgGkuPcEZ9v1q4GNq1JaKZaSnesUGJJgY7Ju/8P4onD/wRAFyXgv168YYKPI3m8rHl/NG/iJid2wEhNLf47d9VZDNrWV07JCKbCEmKF8w8wwULkpHBOxXZzLheeerqzhClXl1Von+IECLRSO8eL2gsgxC8Wpv9tqpEOvOFU1/y/PqiZWQ2YyyphCiWRLQowJVJ0kvnLv7TT6USY/fHowO3QZuWLMtaXNcSIyF1K6Cnx2VJiy8sPfdfg9AuqEqkm1K3Wiyf/7ofNFevPiaMiJKID91Vbyy+WKpcetxxi1Om0bGxVVS5HqoS6da11EgYOiXOqUewrGP0Mm2ZscAlRPl808mfSifGHmgZPAsGAEhVot3coJ4QjGpaYrBp50/W6nMHECKKLBmpenP5SL2xcLV2GhAiMsKSSqlTYow6imxmMMZy21gaXrkuxhMbf8jinLqOW76E/caSLOsJgq935EYIEYSwzHhgF8sXvqEqkW7GQgchLKFW4wapcqSLCxb4fm2BUreqqtFeIqnRtW2UKlOPZTomPux6lRlJ0uKmmdmcXz359x3pLR9izK/XGouHFNnMGEZ6nBDFikZ690iSGuWCh7a9ejYa6blJlSNd8D0u8KwpywEAFD3WO7Dl3b89vvdjV6IlByYeSCh6rAcAQNYinS3Zz3cWWCVackt2LwCg5nz1ApaxTGRJM7oiQ5Wz+UPrvWdxhS5++ZvNL3dlpa4f+VDkR89fCs/PL4bzxTIrLuXo8nrvuRZaXE2OvmvgIzf97NZRohKN+cwNPerU5htT8AYKPKmR6Ba74K241aCUGoluxmT9pBYAABZwLz0S3bJ0vPRc6XL9nGKQ1y7KtG+yRqxr2/DkB/9kfO/Hrnxfuzfc1UOk1m+GokW7213nN3VjC3zhJ9Pk0OCIPN6si9qGzcrkfe8TXm6ZLVAqQkVF6uZtyq5DB/xvAQBEYjihai1PHkVFGgJAmoFMGorQtkXdsERkjeUiBIhmg9fCEIWRKI45tmjmluh8bpnNcy7YxKSyJ5bAqalz4cmb79Tv833h7tir3jF1NjxBMJBUB+l0bN64usDDKNCVRTa7YTOe1HRkrpGGGQOmKEirV3mlVGB5jAFpBrI0HZmMCipACIKBnDoWvHDXfcb7H/wh66cung2Of+Cj1idqFVbKL7MFWUHquVPBkeUFOrOyzOY1HRnv/yHzp11X2IvzdHpoRN7Y3ScNbd6m7I7G8FS9xt9UPOtrAGHSktoKITgNvVrb52EJY3JGUoyEaiSHoumh2zUzPSq4YIwGNsayJsmv1Fr/K35wgDFRNTU+qMjW+TC0i+2wAYQAES6o93aa3gsh+E7tHhcjospI6yixlScQwhIByXRFc8ZAkZE4ztwGCFAo/KLNaxfqrPhinZeP2qJ+8WqG8Cu3yxm04tXzAHBDnw8AyAHAZwBaDMWWq0ZrDhXFyaNlkntGQ2a/gaNjFiS26jgyUmCL37jqAfxV0R7fsfayLlzenAOAT7+e7QFcOba59vKaqLPyq5rwCyHEsLLVBQAhIzXl8uZcReT3mzi2ucmrpxWkpXVkDZtSbBMVYaPBy8frrHS0zkuHG7x6ioqgfqPtAkADAF5qLzeCAwD/CAD/uCbdXs8jsl2EqQDAE+3lVeFzNwcAv/da612LNputCgDPtJc38t4QIfQnhJI/FyAoBx68WnE0T+ceXvvcecxZgWvi6AVnoRA0AAFIcBZ0j9z6S8muLe+fPfX1T9ZLs88rWqQzcGuLqhHvU414P0Lo+e9W+tabQf1y+SwAXFfo+hcFwRnn1AUhBGfUS/ds+3B2aN/PFRaOfaG8cvYbmMiq2yhcMKPd29pWBCoAeNwPHKxpfx6s5M9qI0O3qYP9e5Ekq1hVIkiSVOEHTUCIkGi005+ZP8ibdlFKJgbCUumyd2n6GRGGV3mYsBCrqoUNPY6IpGJDj8sd6VFv6tJTwdLyCWbbJRAgpESiX+7MbLJPnv6n5sEX/5y77iu+y7RaW/AuXnqSVqoLIgwcdXjoVmvD6D20XJ3zL88+x123Cggw1rQoNo20e/b8I2GheEU67l289DRSZFNKJgdppTrvXbq8X98wercAhOWuzi20UJjirldT+/p2S6nEIHDB16Q6iBASf8/9sWA5d0oEflNRenbK3d3bw9XCBfQ6TI2541a569YEZb4/O/eCoNRntfqK0tu1PVhYOnojlg2r1paCxaXjJBbrBowJiUSyjecPft7YtvVDSJIUf37hsNLVtZVEIhms63Fzx7aHaLW2yBrNPFZkU+nu3ubPzh2ENzkPfrOgnl3GkvwkUbSY4CxEkqwD55QFbi2068uh08gBAPDAq5dOP/9ZouoJ6jmloFGZ4zR0S2de+NPm0vR+wUIvtOvLrO0P5ddK06vHn/l95rsVSTPSzLWLnNFA0oy/lyOJASKrkebi1FPMd8rUaeRkK94vGZGsYNQLm9VFwTnjgd8QnIXMdyuChlcaXJXzh/8KYSILzmjYfNnsurlw8Qm/nD9HNDMV1IvTglHfWV04nD/8xKeBcxo0yrMgrtyrLxBF/Q011jFKdCvlVf2eAAAgAElEQVTDqW+DEDxsVOdDu74MIKA6dezvJTPWgwlRGpwFzG0WqlPHv6QmMhuxJOuCszBoVhfeyvl/QwUezqmPEXmsXl84FI303pSKj94nQFDOqNu086cEACiymYma3Ts1PTHkuuXpfOHUPzDmv6Lr4wf1FVnSfysRH7qrI7Xp/S0/F7ciBKeKbGUy6YmHVCXS6XrVuWpt5pl6Y+HFtfe2b7IXMJZmcqsnvmCZnVuTidF3WZCdoNStRKzunUHQWHG96pyhpzZgLOnl6uUnXa98ec0b5mowTj1ZMlKm2blN15IjXHCqqdHeSnVm3QmYqsZ6VTXSI8tGyjKz24QQHNArv9iMBTZC6Klaff4FRbGyiejgHYn48DsY82ucUzceG7qzYa8cE4LTiNWzu9FcOrJaOvPlIGiuXjuJUJRItywZqa7Mjo8z3voQYkQUuAGLhGDZ7Mru+HgrWr1wnhA1qshWBq6pAmIkKa1iDibd2Z0/1bRzJxj3r5bhIISwrKvxga7sjp+o1uevu0kHoV1MxIZ+vzOz/WM9nXt+DhPZkCUjbRgdG+v1hYPJ+PDdlPr1SzOP/WoqseH+bGbbj0TM7h1+UF/WtfigoljZton09w2IpMXi2Q3vWudfrSg+hPF3g8CLCZaJJlnOSv0ydahNVNnQO8xeyVSicAMpRRCIcNc2bfBD77E+NDasjCfjblKRQUklSLp97V61EkxkLG98cOShzm0dt3LKg8AOG5WZ2nlJl94wC0aPKcmOsdjWwqXaab8R1iSN3DD2jyhYFVyw7m3Jm7GMFfS6pCKtj6KsWtlk1+b3rbNCu26HyVu9XJUyLz71qPNPmyaUnat5tuS2vXBmLtFzGyeUnYaJI1YExQAAojGciERxbDXPliUZyQAgrAiO33SreveJw8FzdoPX19g+CAOOJUhqbjq8oBt4E2eCHXja/ea+27V3WREcQwhQo86rmo4MSkU4Oi5PWBaOZTv9Xt3AZjyBU2EgfMNEVzTEsoLUVAfu5AxYNIrj7eQ0QAgQISAZFrYyBHoRAqTryIjFcbJe4xXBQSCMcLnIChs2K5/58I9Z/4uiIi0aQ8nVFbGoakhHCHC5yPLHXvS/PbFd2ROJ4riigHrhXHhCVZGuasjYe5t6T6oDZ59/Bj0GAE++xVO/HoTgLXalrEWyqhHvl2QtpxqJ/uzg3ttTPVsfMmNdW8PArdSLl/fnZg5+Lp4Zu7ejb8ePSMq/Fnh+UIEAYUNLjUAc7ouaPTcFYWNFka2sLBnpYvXiPwPAkbdzfxyYpyGjZzG89GeeaM73SeM/X+flYzPhqd/GQDSEkAQCeMsrhgccmMvXKQC8VVw7H2iI6ulz/sFfwEA0QAivaU+pCGr8BqzjH1QwQW2C5JjNao9VWG5/Wuq5nwnqzIVn/ysVQQ21G2tCCPbyNXj7/Sba984faFZHuxD1ulm8rxZ4IjgLOKO+aiT6+zbf9xucBjYL3SqjoZ3qnvhAR9/Ojxmxrm0AALJqptrNs+/bAs//DBCCM0YDB0uK0Tl8yy8GXn0ZQIjArS7EOkbuTPdMfiSRHb8fECKSYiRxK2ylFRzheQ2E8RP+7OwLUjzep28av08bHbmTe14dm0ZSscw0LRQvScnEAJOI4p6/8GhYLF4W4Svn9txxK1jTourw0G0kGumUU6lh79L0flatLSm9PTtZrb4kOGfc8+r2keN/71+eeY45ziskuML3G7RcnpU7s5ulTHqMVWqLCGPJnbr8DC2VLiNZ0vWhjbeogwP7gLHAOXXmq82DL/2FoC8nGHPft5EkPYxVNaKPj92rb974ACJEAUYD7+LUk4AwUbq7JtThoduE7zXsI8e+wJ2WFBjJsk4sswPrWkzp7tqKMJb9uflDWNdir4fBwz2vFqzkTqtDgzc3nn3uj7nnNVrbITKt1tZlobfH3FQ6s39p7dvzk5E9u38CR6wMicd65EzHBn9m7gVtbPQdvNFcrT7y2K9Ze2/6SXVo8BasahHPdatSIt7nz8w9D98jXylOQx8A1ogVa9fzFUSLdgDGi3A9TiCETl777Ml8twZtxg1cxbChnlOFViH8Wqz32rrMQmd14eh6rweNygIAXFtwWb56/68YY+A34dWThJfay7W4LhnwzeING6e2052KAPCILOkvaFq8X5GtzhZTRLEECFFvLh1ZLZ3+ctPOn2JsfSZMSN0qAHxFlo39pt6xSVWjPWE7ortYPv/1MHSKjlua8vzawnoeLZzTAFr01acQws+oSrTb0FNjimJ1YkzUMHQrtrN62vUqM6/m8ZIvnPy7IGzmMSIKY36dCxZyTv1qbeaZa9dtNleOX5578teq1Zn9AgSzjOxWjCUtDJ316LUCWl2gGQCYIUT+kq6lRnUtPihJLWdtz6/NN+2VE2Ho3rDT7bqlqUszj37q6vhyzllQq89f9yEQgvN0csOfaFpiqJ005NlO4Zzjla6LoGc8dJbzR/5cU+MDIAQDhHC9uXS43lg41GZK0Xzx1Bcb9srR1t+ICMHDRmPpFd2cSm3m24QoRzU13q8qVqckaTFSVSOcU992Vs84TvECF4xKknq8Wp97TlWj3RhLmhCcVmqz+z2vOnujY/9ugVKvtjp3+C9D3y62pkIsBIQxkRRTNRKDGEuqU8+dFoKH9dLMcyz0v+NGrdQNm6uHFh7N7ut/IHSCupY2usKGX6ldLB7zivYN2Ti7J9Wb+nulgWKZFjxfeJZJrK5O0tW0+WuOWY2pydSGxHYWMn/5cP7p6lzjglf1S4ILRr1XT7a6bvwec8uzjQvJgciG8lzzYu9k+hYi4ykWvpJGLilE3fDO3u2KKUWNpJoRXLAbpYStIXBri/mZFz9vJ3N7QXAmOAsBY0mStJhmpkYYC2yv2erYVPMXHn21yerrQds76HIkioumhWMIAwoD4UsyUqIxnPjnZbq4MEsvAQAcfsF/ulRgOdsWjZVFOseY4APD8nOGgYwgEEEhz5bzy2wRAKC0yla++bD916VVljt3KjhKGdDjh4PnyiW+2tsvjagq0uo1XllaoDOPfNX5wsYtyo4wFMFqji1yBrxSYgXXEXZumV25US0v0JkjB/1nwkAEdlPUOWudy3KR5b/xZeevOrtJX6POq7UqL4ehCL/5sP1XGCMycyk8H4YiAAC4eDY4aUXwr2zYLG/PdEo9vie8MBT+zKXw/Moim8uvsIXRcXlrMk2yjAlaKfHVR7/q/N3YRnlrKkM6XVvYC7PfObPltWhszUgMjkx+6LM0dMu6ld6gRzIbARC2q0tHFy8+/TuV3PlHiKRY6Z5tPwSAsKxa2e/UmP4lQpKQJEkgRWM43ttLBjs7cY+mIWNlhS9cmqLnSiW+eq0Uj5BWcgZA67FOCBCvJ73vtYAwUSgLbIyIoshGWpb1pCwZKUU2s/Xm4noTw7eEUPgllyNMwa8QkHRb1M4BAKIibEIrAvl7gvZv2dWT23+xCCGoUhGUm6J2VkJqwuX2vEL0zpYPzfXeMf+K7w44Z4Hg1G+Hi4hK7vw/dw7v+/neDXf9CqNBE0DAmpcjwpIG6C2kHPwr3hYIIf5/9t47TK6rvv8/7fY7vc/O9l1tk7TqxaruyMayMcaAMc0ESIMQvgmQkG9IAoHALyEkkOQbQkggQAyB0NyrZMm2XNWllbS72r47vc/t5/z+mFlHMZIsyZIt7H09zzyr1c7MPXPPzJ173+fzeb/rSbEQYYQIX0geezDUsvLOcOuau5hjabalFQBEGEIIEfpVn8lGTHgF1Ku4j2JF+S4XCfdhr6cJ8ZxMtbpwYWezo2dqcaO1Wq76wt4fcPHYUqdUmjUnp/eak1MvGJNTp72gPh12sTSHeP5PsMfdxEUjfUJL82oSCnZhlxpGHBHNueQRp1Cc0o4cvU87duJR/fiJR6hu/MrxuiH45CBCP8bDo08Qv68VqUoIiYILcrzEHMeuPPvcd8zpmf1Oqd5GBEC9RRxizEk9i64xRsee1EdP7uaikQGkyIFzqeBhlmVwweD39RMjj3OhYDf2ehLm3Nxh4+TY006pdNakWnMueRTx/Oewz9tCPO44kiSvLoouphtlc2bmgJ3NjTFKHS4QOCZ0tG1EPC8DjHlzanqvPnJyN2u0NyGEOcxJHl50RREiomMbZcusZqhj1RhjDBPB5Y/1vVWQfa2WUU1V8lMvVIvTe1+vFNLLufrvcue8BZ5TaYg0BfAqEpEsq5YHr1Kxagg4U43beVGuzOxDCB8CAEDGqH22N5Om58chhBP1bTIGAHjsXLfTELoONm7njGlVMwCA/zzX+2dyxx+AEMJX+lBQalvgLCvsjX36JDiHSEjHMaugceA/031s2ygDAO4DoN7Dejl9aKljmwjhXxTSJx4FADDAGAMAAgghQZiTAITIsc0yYIxRahvUsS6qv8Rpx2Q6RvbAzC7BL0XUZk834rCg52rJ4nBmv1U2zigIxiIkls072Ykpe6JYosXmOGmOBElkZvYcWrRY/TSA2tBMHck9xxxGEUEcAIBzTOe8Kq0qWX2uxRu6spzSpvWikQ33elcskzqVcI93p6XZFUQQzyvEteiaps7mVcEto7vn7quktJnQIu8SrWBkz/bctqWXEeb+LT217+76XLG6mwFCBGFeBow6jfckoHb9S+t8xn4myiVaAgC8vPT/fyn6h/cbz4OXlbSPj1rHMYbDL7/QbbQwzbfbndraMNS4vZyXf75+5cI2l3XSAID7TzP2IgBg58v+uwoA+K/TbAdUyrQEANh1ur+BeovD6Y7Z53w8vGAYYPMJgwhzojfcffX8n2xTK2RnDv5k+sTOv9YqmRMAMKD6EqtUX/NKAAAgnOTBRFAc+8JN694MKApS2jvwovd/UN7a10+WdnaSXgAACIZQhDHACnmWnZ1xpv7yC+U/AACMzj+up5cb2H6LuFyWoEIpcFQXcifnnBlJgj/XNPaqIoAptXWHmhUIETGtagpCxDHGHNvWC5ajXfSLfZvZZQKZz2GOLkApSgDvg9C5mD5FC7wClDmaDewKY9RGEHEClGIYcCoE55/ouMDFgzHHoo0QA15wRT2hzitL2fGnc7OHf15Mj+yQXKGe7pW3/yuP3TH0GrSzL3AOMOrQxmI75kSPL9p3g17NjhZSJx7Jzw3djzAndq14x7dUb3wZRFg4XTDLqTjVag6cZ1x8w//lWXD6So1zhpqmBgAYBgAMI457GIqiG3JEAABAwBgFlFFmWRrV9eIrec40/j7XuL3ytnW9XHnuxe8xSm0kSV6hs30TliSfOT2zn1nndl1gZTKjkJBJO5s9CSBCVKvlTydCnXb79dd+rHE7/fNns2OgEcADEYSnhptgwsvx7i0fDzUvfzfmRDcEENd9Xm3DMbW8aVSShJf8iju6BGFeotQ2LaOSmjr22JcQJt97vUSeBS6MhS9KAMD5xDheTsLEmbjcx3g5jq/h4XApPEMuCCwSyb8ktqE4nD0w99TYPZgnYm2uPG5r1lkvMnbt0Z7YdrVyY2833+t1216Og9xs0p49cMTcf7bHAQCAWbFLRtkqJNYGrlnzW0s/zyigjuWYEEKYPJR5BgDwjXMdf3a4dLg0p02aVavEKGDDO2d+0bo2cs0VH+3/UwAYAAywSkafnXoxs+vk7rn7Q92epUQkMuaQUJyujr7S8zd8V04nOp1VHHq9uBhVDAsAAAADLyUvzP8Po06tlDqaHHvmXzJT+34oyL6WcPOKOwXF1+aPDdzMCUoIQggR5iTCy35wHq0Kbzb8fhT88Efl37npZuldQ0etgw89YPx0eoqOCyIQu7pIX63GqukUnfP5UbC/nwyChsCDMURf/Zrnj9eu47dkszR54ID1wuAgt+rEcfuIaTIdIfjzV2O8nc4N/RIA8EuCBRVCiC1bv6QVLBQ4hsn0FA+FoAjlBIGcG7Iz+4gtcGkwmZbEEMsClKI8FEP1uO5LH3KwwJlhrJ5eAwAAplGamxx65PPFzOjOxncycAfaIo2WMIAwEV8hPXqB1wAGGJ1fGHEsvTh3cs8/Z6cP/MRueJqIaqBjPmgEISLAVxB4LhdoXVS55Auu8zSqYB5u3C78eeoVRGdsybpYvDy5VvbElsY6rvhtXvIkUuPP/7ttVjOYk7ycoIQ40RWV3ZHFGPMKpY7JmOEQXvYTTnSHW1a+N58cuh8AcNYqowUuLxYEngUWuAyBCGIporYQiVMr4/khLVWdBgAwLNRLnqnh6KcTyp7dqz8bDZPo1ZvlayUJSTWN1Y6eMI+MTlivKJowxmg1rc1U09q0XjCyRtkqYA7xjuUYvMK5EUaYnmPCRK1gpDMjpcORPu+KcLdn6cyB7NPje5IPm0v868yqVTKrdqma05OEwwIRsBQfDKxvXok2P/Pvx76iFc2LHn28wBsGxuj/VJMZtcJkcuzZb+m13BgvumPdK2//V8kV6W/4CAiObVYYdSyIEUaICIQTPeBX+6gXAADE4jjx6T92/dnKVfwVpsnM739X+6dU2pkrlWhhw0bhGo8H+To7Ue/eF609qaQz095BFs0/1nEYfd/7lSclGcr/+X3tm5bFrGf3mDu33yy++4475d88etQ+CAAYOcvmzwrGnOT3dF7VltiyQdfzYy4l+rQqRwerWvpoqTJ9Uf13AAAAAcwryNXNALUcZlcd4GgEcq6LvZ0Fzo4IlRYVeQcoY7YFzIILcu6FCp7XmXqKpQNAvUKWOpYmSJ6EpAYBAAAo3qam+RYtwkleuKDwvP4wwBitt8dTapuOpZc4QQ1JajAEAACi7GuZr7bCnOQ5XfLuAr/+CJKvBRFOBoCx5Ngz/1LJTz4PEREQ5iRMeBkTwUU4ySe5I/3R9nUfIbwcAAAAUQl0Ysyf0UdzgcuThQ/xAgtcnkDBIwWVmLudyJyrNleegAgiwSdHGGPO1MPHfwBOU4lQrtAKIfCHjz9ZezwaJtFM1snMJO0Z22avKMw4pmMGur27qeUYtu7UqE1txCEeQACMkpmfX5U7FxhlTFC5R3wtarccEKNdW+Pb9/949JuSlw9KXiFQStYmbd3RfP3qKiUgRnmZuI49Mv3jiWdTl77NZ4Ffa+ZXIqljG1olcwJCSAgneRmjDuHlgCD7WvVK+kQhdfyhail5uKlr8yclV2gRA4y9Wj+mNzJvu1W6s7kZt3/5i+XP3PUh5fe6F5H+tev5LUNHrQO9fWTpkqXcKggBeuxR497kHJ1pbcddpz5+1xPGQytWcVcMn7CPtrXjro2bhGuHh52j69bzW1ev4TcSAsdtm51zteypuOTYMr+n4xpFCvdDAJBuFMYgREQS/Z3gIhss12GsSkvHdVqbEpEUBwxAAC+/ytM3OhYz8yUnv09Fnj4OCAGH2ZX5xMsFXicgRPMCjuyODixa854fsFOq4BHmRE5QggA0UizBr0c1yBsaCCBE9QpEQfI0dSy75eunVsJChLmX5kxQIxAR/vUa6gKXDggBquutECBExEbngoUwZwmyr8UdaNugeGJLPaHOrY5tVkuZkR2qv3UdJry6IPr9+rEwYQsscDkCIaC2YzFGGOcW/P6gEudU3sspvNsxHWPm8ZEfgzO0mjTEnFlwjuWUhMcC4hBvaXYF83ikkqxNAQABYIwBBhhAADGH2S8v93wljIpVkjz8N23dqXVfFX+b6OJ8AEIIMcC+VnWRVbMrklcISj4+9OLdI18feWL2Hsd6YyXBLHBxYfUOARMAAGqluYOj+3/6u6ZWnMKc5PNH+260Lb0wOfTI54vp4cepY9XCLSvfz0ueBADz6S9mFSFMGoaSGEKEQePn/L+ZYxu2pRfOZs7/RqOjkyz6879wX3nsmH3Qspn53HPm7s5u3OdxI69lMaulBXc4DnNsG+jRGEqMjNhDoRCKIAThfOtVucyKlALalMCtJ086J0ZH7WOmwQwAAFi9mtv4wH36f4O6f9N5oyrRQY4o4XJ1dq9uFMchIiLPqVHTqlySknGNVU5GcNs7OSj4IIAcAoiUaf4V21wXuHjorDaNIOKCJH49AABigKUaKw87wLrkIQcLnBlGHdM2a7n59h5MBBeoWyuiujDAgGObGgCAWWYtOx8xvcDrB2PUsc1adn7OEOZlhHkFQgghxDyEEFFq67ZjG5ZZzTBGL0iIX+DyhlLHBIxRCCHyxxffonhiaUkNdncM3rLNHWzfJMq+VlMvz82NPv1P+dSxB0XZ3961MrYUIU7E9ernBX6NWBB4FljgMoRRRs2ingEAQqtsFqrFUpb3iAFAGQUQAGpfHCGECFhIrItd60monUP3jH6naXX0qmC3b3A+ZNzS7AqvcG4tr6cAAH9/vs+vFc08EfA3R56Yvccdl9skD+/HPBYRhtiq2dXibG2sPFeb1ItmzrEXTiouFhA2Vrkbq60QYg4ixEEAoWMblcbKzRkfSzjJy4muCOFEL0ScOJ8ux6hjOI5Zs81a1ja1fMOs/aKDMOElNdQjyP42hLHAKHMotTTFHU2CxkoSEeSgJ9S5VZC8zYonvkyvZkcnjz78ecaorfqaV2EiqIq3aVndBwIATHjVG+ndBiHChBO9hJM8uP7ThznJQ3jRS4jkLeXGnho7eO+nQD2l8Q0PIRC//4PyDbrBtKGj9sEb3yrePjnhnCwVQYHnmdDeTrpVF3IfPGA/XyzSPEYQ6RrTJAkpsgxV0BBtGGPM5YLupgRqlSSoPPWk+RiEAMoKVNes5TfzPBDABQo8AABgO1qOUktjjNqy6O/EiJMvlQg3Y498N+vMPMwAoA6wq4xRmwLnNfN6WACAEs08f9h46kMIYMkBVpkyajHALBuYLze6X+A1xNAKUxNHH/ozxRNfVj9ToTaACBNOcItKoIMxatfKqWOAUbtSmNm3IBa8/jiWXpw58cRXK7nJZwGEqJ4UCxHGvCzI3hbMCe5qce4QdWzNqOXHbfNXk4EX+PWHUceYt3aItK35jWBi8J0IER4RXgWA0WJ6ZMf08R1fKWXHnmLUNvzRvpsQ5iQIIORFV/T1Hv8C58eCwLPAAgAACBGCCHMQntXAkVHHNl6LlX27ZlYAAF+/1NuBGBHJL4Q5hXPVfWgRj3kkMAYYEbEEMcRKUIoREV9w/61tOAYA4GTjdnHGjRBGEHNnS3tgjFFGbeNyNPW+FAiyNxFpW/MhXnTHO5ffBgEEEAKIIMIEQswjhHnHNsozI09+HbysrQUijDERXIonNtjce/UmxZtYKUjeZiIoQYw5GTTe+5TaumPpZcuoJE29NNO0aOtQKXNyV608d5g6ljYfxflqgBBCd7Djio7BW/5eUkOLYD2OF1DHqhm13BildXFTlP1tnctu/UfqWHpm+sCPyvmJZzyhzi0QYZ7aZk1UA92C7GtljDkQAiQqgY6u5W//f2zeQ4JRp9F2yCBCpLGSCU29NIPJm6ffPBhC0c1bhOsdBzgIAbRiJX9FTy9bsmun8dDy5dxaRUEutxt6Uyln1raB3dyM20QRSo7NbI8X+sApoo2iQNXlQp5sxk71D5DlD9xn/Dged5rXrgNbMLlwc9x88eRjIu9JKFKonxDJxxi1dbM4VanN7bsoO+FlNOLQT1yK517g3KCMWgCAidd7HAv8bxrH+NOmIc0vLLxZvnN/XWjMxxnTly63ZNsFLg31try61ULdc4eXGWPUtrR8evLF788OP/kNQ8uPQ4iI4mteHYgvuQUhTmLUMTnBFXm9x7/A+bEg8CzwpgdzghpsWnpDILH0HaIS6ESovuL/ciyzmp448uDnIIQ73yhfhrZu10Yfmfwx4pFgVszC+K7pe2deSO4AAADQeIWIQzy1mQX+5vUb56lwghqKtq19uz82sJ2XPIkz9QbrtdzoyQO/+CQA4PhrPMTXBUH2tUba1n5YkDxNZ7qPbenFYnrkcdAQeDDmJVHxd8Q6N1wTiC95u6T4Owkv+yAigmPrJdus5UytNE2pbSDMyYLkTYhKoKtxQkipY2m2WctplfTxzNT+H4pK4BFTK0yeTzLhrwKhIPtaFE9sCWOMUmrrgNU9pATZ34YQfil6lzFGHdsoc7wS5EVvk1bJjsiuUE+oecUdEGF+bvTpfxIVf2eoZeWdEEJs6uVkrTR7oJyb2FMrzh0y9dIMIrwabln53lDziveA18gQFGNOxLzkJUT0YE50Q4i4+qWTrTu2WbXMStqx9OJrcZxpacEdigJdJ0ed45u3CNePjtjHBAEK77hd+sDBA9YL995T/a/f/bj6WbcbefM5mgmHUYzjIFetsYrHg3zglItwXWfaW7YJt+7di/bIMlSLRZazbWarKnJBeOH7VtOzI9nC8MMkMOCpm7w6VqU6t7+m5y7YuHmBBRa4uLxRzovebCzM25sDxmwTNLw0GaOOUStO1UpzhwrJYw9UitN7Xf7mNU3BLX8gqaFFguJv50V3HEIIGYSQE9Tw6z3+Bc6Py1bgIZzkFmRvCyeoEU5QQ4SXfAgRESLCI4Q5y6hm9WpmWKtkh02tMHW2loNzASKMveHu6xRPfKljG2XLKKcsvZKyzGq63ruqFV8ez3s5gzDhRMXfKbuji3nRE8eEV21LLxq1/LhWTh8zarmTr+4i7NLw2s87wrGODXe19F3354SXvGe/N+v1R/tvrOQnnwUAnDWu/HzgBDWECSfr1fz4K92XcKJLUkM9ohLoIIISwkRQIUSkVpo9WEwPP2ZbRuV8tt3w1Tm15L0MXkUbxaWG8JKnuffaz8Q61v8Wwpx0tvvK7nBvdvrgTyBEw69F1RUnyH7ZHVsiqcFuwisBwKhjGpWUXsmc0Mqpo5ZZK1zS7fNKkBPU0Nnugwmv8rK3GSFMJFe4t7nvmjv8sYGbJVe4FwAAbUvLl3Lje6qF6RerxdkDjqUVIMQ85kSX5Ar3+aN9N0r1Xux68jjhFUx4RZC9ze5gx6ZKfvL55Ngz38JE+JFjGxccR44aVTuWUUnPnNj5N3YjFhtCTELNy++Q1GC3XstPEE7yzpx44quF1A361vIAACAASURBVPGHJFe4N9ax/rcVT9OyQur4w8nx575dzo4/LSr+TkMrTgablr5jZnjX19KTL37PsU0NIcK5g22bwi2r3u+P9d90qaNhEeYE2RXuU7zx5a2Lbxisn0T52gTJ24IxLzNGbdvS8qZWmq2W5g6Wc+N7FE90h1ZOH7tUx2pCIPmNjyjrczmaPn7cOvQ7v6t+NpOlySd3GY8Egyj8V1+qfHpq0hm7/V3SXQcPWC+8+Lz55MyMM2mYzIjGcMLthv/rmGlZwHpip/ng0kFudT5Hs2+7VXzvvb/UfwQhqzs7XiAQYlKsTDxZrs48L/CuJtvWC4ZVSb3qHbDAAgsssMACbwKo4xisUcHDqGNVi9N7y9nxpwTF1x5qXfk+xRMbRIjwjFJbr+VOaqXkEckd6YcAwIbX1gK/RlwWAg+ECBFe8omyv90VaF2v+ppXD2z6SC/hRG/dDIyTECIibBhjAogQdSzNsbSibWl5vZodibavu6eUGX3C0AqTjm2e98W3J9i5tX3p9q9KSqCLUsekjlVr3DRKLZ06jjG49WPOvMxNHUsrpocfy0zt+6FezY2+0gUkxpyIOcnLS+6Yy9e8xh3s2Iw50auV00Nzo0/9k1bJDF/Qzjt1G4SXecmT8AQ7Nveufe92UQ11c7wcgAhzGPMKZY7lWEbZNmtZrZI5Ee/a9Hg5O7bb0ApTtlnLvtaCz+Uw75zgCvtjA9sxJ7pnhnd9rZge2TGfFoUwET3Bji3BxODthJN9AEIsqsFuhHkFnKPAE2pe9s5w65q7MOGVM6VJLN74EZkBRuNdG/8tOfbstxoGhaAxBp4XXFHV37zGG+65rn/DhxdzghwgnOw3tMKkZVSSsisyACHElcLM3mBi8N9LmZO7LaOSOh9RA0KECCd6CC/7BNnbKsi+VkHyNvOSt5kT1DDCRGz4uBAIEWaM2ozapmMZZduq5UytNKtXsyO1SnrI1EoztlnNXsh8vBKSGlrki/RsAwCisYP3frpWTh2d/xvhJZ8v0rvNF+3d1nD9x5Ir3Ndo47roAg9EGHO8HJBcoV5/bGB7/4YPb+EFVwQRXkGYEyFEhDpmzTb1gmWUkx2DN+8ppE48WisnD9tGNW1b+kUT0hDCXLTjilYIEVctzh4c2ffT3wbMsSHEnOyODETb131U8TYtgxBh2R1ZnOi5+o+DicF38qI7ZltaIZ8cur+cHX9Kq6SPI0wkUQ50+GP9NwmSJwER4RHmZF50xyCEuJKffK6QOv5QrZwa4nglGOvc+HFJDXQihHl3oO0KSQ12u/yt6yRX6K/1SnbkvMU1COB8ioehFSZmR5/6h/n3EoQQFpJDDwhKoCPeufHjAABmW7VsrHPjxxVvfHklP/Xc5LHHvmhUcycBAFB2RwYUb9NyxR1dwomuqKSGFmHMqy5fc3/74Pa7fNG+G3nRFaO2VXNss1r/nF48MOYlQfa2eEKdV/aufd9bJVeopy7oCq6XC0oQYo4T1DAnqGHFGx8MxBe/zdSL09Xi7P5o+7pHyrnxp0y9NGOb2kUzgCYEkGXLubUrV3JX7HnK3DE8bB+JRFFTOIxjT+w0HpqatMcAgMBxgB2JoLg/iMLPPGPu7OwkvV4P9Kku5J5/LsMA+tycMx2P45ZHHzZ++TsfVz771G7z0WSSzqTTLMnYhX8GmyKrPuJQs5Yrjj5S1TLHCRbUltj6j9uOXpxJ7f3OxdgXCyywwAILLPBGhVLbAIxSxhjNJ489kBx79l9MrTgDMRGpY9V4QY0YWnEqM7X/R9XizL5Yx4bfkdyRfgYAc+zzWzx+swIRQkiSvNjtinHhcC8SRTeACDvF4pSVSg3ZhcIUc16ba+3XXeARJE883LryOl+kd5s72LGF8LIPQogZY45eSR9n0OEMo5ICjNqUOhYmvCK5In0IczJ1zCqACHvCi671hnuuN2r5sezMwf9WPLEf1Epzh8+n7FBUfO2C5GmCCBOMMHm5BwOjjm1besG2tAJ1rBpCiIt1bviYJ9i+eXjvTz4KABh7+XMiTHhRCXTK7kh/ovea5S5/yzrFG182r4RCiLAv3HNdrTR3CCJ08kL9KzARVFegdX1L//XX+SK9N4pKoANCiA2tMFHKjj+FMBE9oc6tGPMyxrzMCUpQUoPdvmjvNsfSS5X81PP55LEHVW/T47Vy8ih16ik1l5LLZd4tvTSXmdr3I3ewfZNjG+VC6vjD1LE0zEmecMvK96n+ljXZmUM/VX3NqxVPfJATlNB8dcG5onhig5yghl8yvj0NjDEW69z4sUJq+FEAwBGIMJbdkcXxrs1v8ccGbhYVf0etNHdQr6ZPEL7ZQx1Lmzr22JcKyeMPKt748mj7+t/0R3tvcAfbN5cyozvSk3v/kxPURyyjclajWIgQFpVAR7h11UZPqPNKl791HS+6myBCpG7hAhEAENYNdm2jbtqLOYgwB+or8gwAVk+gBowy6hi1cupYKT3yuC/S83A5N77nYgoZtVLySG7u6C/jnRs/bhrlZH7uyD0AAMCLnnisc8PHRDXQmZ544T/88YGbBcnbzIuuCLzIbTcQIiQqgY5I25pr/NG+G9yBtg2YiG5KLb1amNln6MVpl695lSD72wkneTERPYLkblK9TSuj7es+oldzo8X08I5AfPHD5dz4HlMvJ1/1mBDhRcXfAQAApl6eLWVGd2MiKMGmpbdFO674LckV7mWN9IRAfMnbQIzebBmVVCk7uqtanD1AHVuXXKHeUPOyOwTJ12JZtVytOHsgP3fsAUMrTLoDbet90b6basXZ/YX0iUcxEd2eYOdWTlCCL/etIrwSjLSuvosXPU3jh+79NADg8Hm/noYYSm2zdmq0OWOM8ZJbCzYtvc0T6rqKMcdu6bv+8/nk0P3jh+79FGOMCrK3xRfpeYs72LGJ8JLfNmpZTlDDGHOSqPjb44u2/EGwaeltmBM9Wil5JDd7+Oe14txhf6z/rf5Y/02vcirq44cIyZ7o4qaeK28NJQbfJSj+dkYd06gVJhxLK5xuNYw6llbKntxtmbWsKPvbZHd0qagEu0Ul2OWPDTTm6+TuUnp0p+yO7NTKqaFXW1qPEEDxOGrxeJDv2uuE7b/8uf7DpYNk1Zp1/JbnnzOfNE1g8DwQTBOYMzN0orWVdB4/ph9Ku+icZQHTpcKXBB6OA0JbG+lavJhbMXzCPrL3Retprxf6lw5yqzIZJ+lcQES6KLjjLqVpVdC3aLFt6wWEODHs75+KBpeG3WrTqpqWeVO0Xy6wwAILLLDA+QAhQqcuBjHH1hsehHZy7NlvVQrTe2VXqNcT6rpKUkM9k0OPfqGQHn5UUoM9vkjP9Z5QxxYIEWHMMaltlDER1HrVtqAiXK/eRoRXMK7/hBDicnb86YtRsPDrCJYkj7x44CqxvX0DF4n0IUnyWcnkUWbbOmxrXc9sW6889/x3AQDPvBbjed0EHsJLXk+o68qulbd/1OVvXQ8hhEYtP5GZ2ne3bWn5cOuqDxTTw4/bllHKTO27GwAAMCd6ws0r7pTUcG8pN7Z7+viOr5h6cVrxxAcD8cW3ekJdVzV1b/kDb7j72tTEC9/lJfd/WXo5eS4nwfU3PWPUsfRybvIZUy9MOZZRNhtmopZeTtqWVnBso8KobSDMy+1Lb/qqJ9R1pT82cDNC+B8gwjwmgktU/O2uQPuGRavuWCuqgW5edEUZY45WTh5Jnnz2W1olfYxwkq9p0dY/5AQl5NhGeb4v8lyBEELMiR6Xv3Vt14rb3ucOtG/iJU/T/KowY4wizIm86IpyghKCEPONl1fMTO37YSk3/rTiji1x+VvXu4Ptmz2hzq16NTNSzIw+4Q13/VclP/W8YxuVi92bexnOO0v0XOWHAEBXoG0D4WU/RJiPta//LVENdU8NPfqXhfSJR7uW3/bPiic2WF95R+dsFpqfO/aAy7/v7ljnxo8V08M7ZoZ3f+3lsaGB+JK3BxPL3iUq/g5PsGOL4o1zLf3X3e6P9t3IC+5YKTf29OzIrr+zTS3vj/Vvt/RKanr88S/n547e06j22clLnuO10uyBWNemT/ijfW91BVqvqOQmngm3rPhBIT38mG1U06dWaCGEOUH2tSQWXfWuQHzgFskV7oEIC4wxBwIIAQPUsqqFSn7y2UJ65DG9khmh1NYbvr0EIcwTXvYLkieheJuWe0JdVxNOdDOIOdXbtFz1JlYEE8velU8ee0DxxP6+Vk4dZdS5GAa8iHCSDyLEeYIdm7PTB38sucK98a6NH2eM0rEDv/w/tdLcYdXfsk6QvM2YCG4AziysnQ8IEY6XPM1Ni7beHogvuVV2R/oR5uR54Q4yhDEveSXMSRyvhgEAkFLb0ErJo7OjT/8jIrzi9rWsdQVa10fb1380mBi8vVqY2Rfv3PDz3NzRe02tOH2hLYcQIkJ4JQgAY45VyyNE+KZFW38/3Lrq/Y5tlFNjz33b5W9Zr3jjgwhhnjHoIMSJsju62BVo30g40cMotUy9OJMcf/bb+eSxB41afoxwoifcuvqD/lj/dsLLfskV6lH9LevqAgWjjmWU9EpmeHbu6L2YCKrsiS2VXKEehDjJF+m5njFqi4r/E3o1N3bOL4b9z2oRJyhBQkQ3ACBdF9Z8bW0D2/5vMLHsnQhzEqOOVTMqKYR5Od61+fc5QQkBAGGtnDySnnjhP/RqbgwTQYl3bf6kqPg7ZE9sGS97W7Izh35aTI88Xislj5haYQoTQfWEOrdeyL7/3/MAISe4IvHuze8JNS9/j6gEOvRqdmT62ON/VS3NHcJEcMU7N36Ml7zNL3+sXsuNTRx58P9qlcywIPtavaHuqyNta35DVIPdECKO45VgML70tkBs4JZaKXk4O3v457Ir/EO9mh290OpLxgDLZllqYsIZ7V/MLZ+bo9MHDljPX3m1eKPPj4KN5CvgOMwpl2lR11ht8xbh+hdfsPYUizSvqPAloSoWxwlGATs2ZB1csYq7AmOICQe4NWv5zdmsk7JtcAECj7fV527fCgHCAqdGRcHb6ihmFUJELKuW1Yz86IW87gUWWGCBBRYAAABMBJlworexoIkgBBBCTBDmJIQ5GWFOoo6lVYuz+6lj/YpVB4QIYcIrhJN8sju6WHKH+3jRHcNEUBmlNnXMqmObVcsoJ7VqdsSo5sZsS8s7tlk53fO9GhAivC/au80f639r3/r3h/uv+CCgjmPalpZv6b/OwwlKECHMt/Rf/3lqm1XMCa5ienTnzPCuryFMhEjrqg86tlHGnORFmJPqZ7eIC7et+ZAv2ncjwpwIMZEQ4kSEiYgwJ6LG74w51vjhB/4EAPCmE3iIxxN3b978YSTLfiTwip3LjTGHDkNCBGZZmj42/rTU1XUlFw71cMFgxspkLrl/4Osi8IhKoL2l7/pPhJqX3wER5quF6RezM4d+lp8bus+2arlg0+DthEheUQ0tGj9032dsU8v7or03BBOD71Q88cFS9uSusUP3frpaj2CkHC+PI4RF1ZtYiUVXTHZHB1r63/KXLn/LuukTT/wNhGjfK5W016McGaOOpc0M7/xqMT26kwHqAEptyqjNGifQ9YsMf3sgvuRWSQ33QoS5UPPyO0y9NK16m1a6gx2bRCXQhYmgIoQFrZI+lhp/4Tu52cO/0CqZ49QxawBAEO/a+HuYCC7b1AqWUc2cj5CCMOFd/tZV4dbVH/BFe28AjFHCy/5TS/4hhIgX3XFedMcZY9Q2a9lqYfrF1OTeHxRTxx8WFH+HbdZyei17EiKIOV4JQkTEUPOK9/hjAzfl547emxp//rsI4ederc/NPJfjvANQT+dhAADV27Qi0XP1H/OiK6ZXssNjh+79FKO26fI2rxYkbysAECDMiWdLbno5jDmmYxtlxqhTyo7tzs4c+gUAACCECSai27a0Ai95mv3xxW8jWBSae6/5E8cxa7zoitTKqaGxw/f9UTk79qTqS6xqWrT1U5ZRSY0ffuCzlcLkC9SxDUwEVVQCHd5Q11LZFRlAEHMAAECI6PGEu69xBdo3lHPjezJT+38ouUK79WruJCaCK9i8/KZ454aPiUqwy7ZquUphei+jjoU50Q0AAFopeSQ9ufcHlfzk845tlhmjDuElHyeoEYSIYFtaLti09HbV17JGkDwJCCFybLNaK80e1Ku5ky5/23pB9raGW1e9X/ZEl0wNPfoFCNH9r7a1ZN7YFwCIPOHuq1v6r/8LSQ0tKmZGdmanD/4EIkTcwfaNHC/7AQAAYU66GPU7vOiOhltXbY+0r/0NUfa1Mkrtetva/4hHCHOS4o4uBqCeVqCVU0eL6eHHk+PPfduxjbIo+9tMrThtmZW0Pzpwk+OYmuyJLXH5W9cFm5ffkRp/7tu86L7XMs5NnPxfwPpnHgDAbNsoY05wMUbtyaFHvmAb1XSwefm7RTXY9dLdIcJEUIJ6Pj/u2FbN1IpTxczIjnJu4hmEMO8JdmyWXOEP148fjl0rJY+IarCbl7zNgFFHr2ZHKvnJ53JzR+8pZUafoLZZE2Rfq+pvWRNtX/cRxRMbBBBiX2TR9Ub3lk8SXv5T+5w9iBizzGqaMUYxEV287GuBCOdUX/Pq5t6rP+sJd1+NMCfZll6itlmp73siVvJTz5fzE89qlfRxhDhRkL0tLn/r+kDTklslJdhVzk3syU4f+El+bug+0yjPUcfS5vczL7kFwkme89rnL58CiJDqa1kd79r0CX+s70ZGHTszte9HuZnDP2OMOaovsTqYWPoO2RXpO/VYPT8GCDFRfc1rXP62DZIa7JbckX5OVCMAMKpXsiPl3MQed6hjqyj7WhRv0wrJHen3R3q2TQ8/8VVMhPsvxPPIcYAzdtI+sWQpWSVJUF67jt/y5JPGo6mkM9PRSXrcHuQrFVkeIQBNgxn132nB54N+xgBTFOQCAACMIfrQh+VrK1VaevJB89FYDCeqVVZZvpxbOzVnj1k2MG3n/AUey6pldLMwLnCuGACMWbZewIhICHGSbhYnc8XRx873ORdYYIFXBy+6IpIr3EPI/EXxr0Ids1rKTexxLmIF7wIXDuElj+wK9xFeCZ4pmIJRx6gUpl68GFXFv06EEsve3dRz5WcwbnRuvBQIABFsVLHr1czw0DPfux0AMDn/OIQwJyrBzlDzshXuYMdmd6B9Iye6YggRoVEFjxgAoL6Azyij1KbMNqlt1bRKaqiYHtnhDXc/Uy3O7LOMavZivBZB8iRa+q//C9kV6a9bKTgWA4wBRh2IMIcar1H1Ni0HAIBKYWYfdcyaL9p3A3XMmqVXkp5w11WKJzZYLc4cUL2JlQhzouKJLWHu6IBlVNKmXpqxjHKSOpaGEOFVX2IVJrzi2GYN4dOH1LzRUVYsfzcXCi3ShoYeELs6t/CJxEqnVJ51SsUZAOqn6IBSh4TDPaRUnoGETDDbvijX1mfiNRV4IERI8TYt7xi8+XOeUNfVRi0/Pndyzz9nZw79t6kVpwkvB8Ktqz8YaVtzVyF1/KGZ4d1/R6lttC7e9qVg09LbAIQ4P3f03vFD9/+RXs2OEk7y+mP9V7QtvelWX6R3GyeoEdvWi8XU8GPeaO+2YGLZ7ZIaWjR59JE/Rwg/eDahglHHZIw5hBM9ohLsyiePPTDfqgQRJpgTVFkN9yZ6rrreF+l5i+pLrISICAAAoPoSK7tXvvPfEeYkxhybUcdEmIiOpRfzyWMPTJ/Y8f9ZRjULEcKC5E2EmlfcGW1f+2FMeMWo5SccS8uf6z7EhJcjbWvvindu/Jgge1vKuYlnZoaf+KqkhhZ5wt3XCLKvVVJDi16q5KHUzs4e+lkxNfyoZVRSiHBKvGvT7wealt6GieBybL2Ymnjhu4XkiYcBYEz1tawJNS9/T7hl1Qc8wY6ts6NP/QPhpf+wTe2CDWIv53kHAAC9mjsJGKOEk7zBxOA7s9MHfqxXM8Oh5mV3AAYZEeSAqAa7IIRo3hPoXF87wpys+ppXNy5as/NzGEwMvg1hTkxP7rvbMqppRh0TAAB4yR23Lb2Yntz7n8mxZ/8VAAibFm39lMvfui49te/u1Phz37aNalaQfS3R9rVbOgZv2SC76wdyCBFGmEhaNTucnnzxB9SxqsGmwXd6Ql1XeYIdm6uFmf3F7OgTHK8G/fGBWxAi/NzJPd+s5CaeUbxNK1RfYmW1ML0vM7X/7nJu4pmG4OPxRrqvdQfaN0quSD8vuqLUsfTpEzv/Wq/lT9qzh3Iuf9sGx9ZLmekDP87PDd1rmdWsPzqwvXXg+i8Isq/F5WtZ27b4hi87tlmFED3xakQeRh3LqOXHIIRQlH2twcTSd6Qn9/6A2mYl0rr6g42KkY55x/+GEfOFm7sihBV3bEn74PbP+CK92wCjzszwrq9VizP76ubEkT7ZFeolvOybf4xezY6kJl78vl7JnHAcs+oOtm/yRfpuUL3xZRAirpQbf/rkoXv+UK9mRwXJk/DHBrb7YwPb25du/1tveNH10yd2fAVC+MKFVs9BWDcjR5j7W3egfVOi56o/cgfbNwJGabU4e9AyynMuX+s6vZYfHz9836cBANDlb10nyN7WeOfG3+MlT0Irp44U0yM7auXkf2DMq+5g+wYiKCGjVpjIzx29t5gZ3amVk0cwEdyeYMdmV6Btg+KJL5NdkT5EOIXaVg1AABHm5XDLyveXc+N7IER3n8vcM8aY4o6O6ZXMCUR4lReUsNKy4n3R9vW/yahjTB977EuiEuisFKb3auXUkF7NjRpafhwwxiRXpC/UvPJOd6D1CtWXWMmL7phZK05PHX/srzKT+3+o13K/YmTeEO1lzImvYLJ+ZhDCnDey6OrWgW1/qXhigwBAZFMtL6mh7ub+6/5MkLzNjeoiBBhzbEsv1UpzB6vF2QOEk3zeyKLrRMXf0bb4xi9bRjXNGHUE2dcKIUS2pZdmhnf9LQCMeUKdWxmjlDq2zqhtKL7Eyo7BW/5+Vn3yG4SX//HcRbQ6tg2sPU+bO+64U/4oIYBTVOjSNFZ7Zo/5xA03iretWsVvePwx414AIJydpVNigUkjJ+yjS5dxa3geCooCXRwHucFBbuXGTcI12QxNtbTgjuYW0vGlL5T+4LlnzV13/Yb8iWf2mDstk533SmVVy5yAEH1DlSNLOE7212rpIQAhpNQ2LFvLn9q+92YDIoQhxAQTwSXKvjZecsc5wRXlBDWMCC8jRASEsOA4ZlWvZIdr5dRRvZI+YZtajjHHfjXVuQhhDiJMAKiL7oAxygCjgDF26mccQoQgQhxorJ6d7zbnH1/3fau3ADNGL1pVMYQIIUxEUfa3K76mFaIS6CCc7KeOVTO0wpRWSh6pluYO1RPtzn/8lwII6/72ACLCCWpIlH2tvOiKcaIrSnglgDARESIChIizzGpGK6ePaeXUUb2aG3Ucs8ZehdcihBAqnvhgx+Atf+QOdmzheCVQ90f81SpZ29KLJ1744QchhD871/1Wf2mEr79dzmwVgBAmECJCqWOe6TsFIUwgwhwvuuOKJ7ZUkP1tnKCEEOYVRh2zmB5+vJQ9uetSVKpfbgiyr6Vt4IY/8kZ7t/GiK4Yg5k43Z45jaZNHH/5zhLm/o46lX8oxNd7GHCeoEdXbtFxyRfo4QQkDAIGll+a0SvpYtTh7wNLLc2eb54uB5I4MCLK3BQAAGKUvXS9ACBFERIAAQIjChPCSHwAwiTAn1EMqrr3NF+l5i+yOLYEIEUap7ThGpVqc2aeV08dNrTDlOGZVUkOLvJGe63jR3YShAAEPAoLsbfaEuq+xjGq6nD25K5hYenchefzBV2tpADERMBHcAEI8N/r0N8rZ8adZo2vAE+zYHG5d9f56UjCEplGaqxamXqiVkocts5rxhrquDreuuYtSS5sceuQLpezY7vYlN/2NJ9R5pW3WsqmJF79fzo0/pVezI5ZRzSBMxFBi2bvkxsLmpaTxXUAw5hVRDXaJarBbVAKdvOiOQQCQ45gVy6iktXJ6qJKfesEyK+nGdf0l/2wTjyceuO3tm5xicZr4vM1YUUN2JjNszs4dtLPZUQYAEJriy+xScZqLxpYAx7GsudnDAIDZSzquS/nkpwIhhC5/67q2JTf9teKOLM4njz0wN/rUP5RzE88AAKA33HV1pG3Nh3jJm0iefOZblfzks55Q55XBxOC7JDXYRaltZGcO/ffc6J5/xkRwxbu3fNIdaNsgqaEeQfG3o7onCMCYV1RfYpVjaQXIywHFm1gRSCy9vZg9+SQA4IxCCqO2CRh1IETYHxu4OTO1725B9iJB8rXGuzau84YXXdtQvwOM2ka1MLOf8JJPcoV7IEQYIszXirMHsrOHfoaJoEba1n4EE8HlCXZuzUzuu1tU/Gqkbe1bQoll7xIUf/t8ib5lVFK2dW7iiSB7Ey19138i3LryfbZllGZHnvx6auL57+jV3EmjVpiACPPzUb+sfqJl21Ytj4ngUr1NKx1qaS5fyxrFExuEiPB6NXty7uSef9IrmRHH1ksIc5Jja8X05IvfL6bdj4VbV32gpf/6zxNO8hFO+jvb0opvtHkHAABTK0wxRm3GGEdts4IQ5qlj67mZwz9DmIjRjit+q35ySh2EOfl8KnjqLUWiBzDAGHVMwknuSNua94VbVn0gNfH8d4JNS27zxwduRoR7yfOJOrZhW1o+EF98iy/ad6NlVNJTxx79ol7NjnhCXVd5Q11Xy57YUubYRq2cOjIz/MRX6+LUsncmx5771/Tk3v+0zEoKY14xaoXJWOeGj0lqqEfxJVYqvqYVAEDo2EZ5dmT3N6qluYPB5uV3wPqXwf8rZUafQISX3cGOLb7IomvdgY7NnKhGqGNpRi0/lp0+8JNiZuRxSh1T9TavVn3Na6qlmf2zI7v/njHqqN7EKtkTWyq7IwOYk7y2WcsjzMuSK9zbOrDtSyN7f/xhAMCh830fzcOYY5lacbp+UUGpY5tVhIhkGZV0KXtyNy+6Yy5/yzrHNiuYCCrGvHKh+x0EAQAAIABJREFU+g7ChPeFe65p7rvmT2V3dKCYGX0iM7n3+7m5o/chxIkAIhwigmu+aqfe4lkvxZXUYDfhJC/hJZ83vOg6TlCC1LGN3Ozhn+Vmj/zSNqpZ6lg1Sh1Dq2ROjB++/08iras/4I/1v5UX3bGxw/d9BiK05/x9uSASFX+b7I72x7s2bY+2r/soJoKrnBvfk08O3U8dSwsllr3L0AoTsyO7viYqga5gYvB2UQl02WY1U0yPPD5/P0H2t/sivdtExd9uaMWp6eM7vmLUcmMAQCipwe5AfPHbBNnbIsr+NtkTGwQAgFpx7mB2ev+PC5mRHbIr3NM6cMOXeNEVjbav+81SemQHAGDmXF6FbRslUy/Nuvyt69sHb/47CDFXTI/smDv51D/olewoq2t9NepYBoQIcYIaDjUve1ekfe1HBMnXMt86Z1taYW782W9lZw791HGMCi+6IvWya17GhFcJL/tDzcsDguLvEGRfa33rdU+pc9/jCAdii7e3Dmz7oqgEOmxTy1tmNTP/XrSMahoizGvl9DHHMatmrTBpW1qeE11RT7B9M8K8YunluWLqxCP51PEHHVMrNvdd+znGHJs6jlmv+qpmIUTYtrRipTD1Ynrixe/ZlpaPd23+fV9k0fVN3Vv/ECIiEE78G9vSS6886jqUMtbcQvYdOmi90NqKu55+ynxckZH685/q3+9eRPrf9wHpd3I5mpYkIAsiFJ9/1tzt9iBvMIgikQiKx+M4cevbpfe+dbv4zkQCtxULNH/zLdIdjsOczi7SOzXljEciuOn4MfuwZZ2/B099NqiDMX8MaBnGAGMYcRJCRBB4d1zgVdMwK2+a1WYIISS87BOVQHesY8Nal79lreyOLiac5EOYCLAu6vAAIgwBRABCxBh1qGPWHNus2EY1XUwPP56bG7qPF92HzteMHwAAOF72NvVc9TF/tO8G6liGqRenTK00Y+qlGVOvJH2Rniylto4QEUPNy0KecPc1jFIrPbn3BwiTp18pjRQhwhFBCfKiKxZuXbXME+zYIrkivYZWmJwd3vU1CNFTr/Zir2F+3hpuWbHGH19yq+KJLiGc5K3XNnISgBBTx9KobVZMvTRXyo09WUyPPC67wkcNvTjlnGda5cUAIkx40RX1hrv7XIG2K1Rf8xpJCXQiIqgIEQFhIkCI+bpP3kveeabjmFVqGxWjVpjIzR75peprfkyvZIYv5HyOl7yJ1oFtX/SEu682arkxUy9OnzJCSIjobqQ08oQTPZ5gx5b87JFfAnBu1Xuc6I629r/lLxlzLE+o8wfsNItzEGGuqeeqTS5/y7qZ4zv/GgCw439GACHmRLekBhc1dW+5xh3q3CIqgU7CiZ76AixzIEQcQpgLtay4s5gZ2ZEae+7fCC89e6GLmA2dQnrJkwTzMsJEghA12n1gI0GQMcaYw6hjU2rr1LE0xzbKjmWUKL10K/mY8FL70u2fDbesep9llJO1UvLwqTYBCPOyKPtaEeYkjDnJE2zfnBp/7t8AAJdE4EEIE050xXyR3iX+WP92d7BjEycoQYgwDyHmECICpbZBHbNqm1q+Uph6sZA68ajqS+w1avmJukB98cQehDDpWXNnK4SYzAzv+lpq/Ll/Y4zamAhuX6R3W7Rj/W/yjcp1SQl2Ku6o3dJ//fsD8SW31hc8zZpWTh2tluYO14qz+/VaY8GYl4NEUAKC5E3I7ugAIYKbOmbV1Eoztq0X68K8v50X1bA/vvhtrkDbxnxy6D7V2/T1amnu4IUKsRARAdaP+3Zm+uBPSpnR3fN/80V6ipyghh3HqqnephWpiRe+m58but8dbN+UaFtzF4AQpyee/2525tBPtHL6BMJEmDr++FcotXUIETc7+uQ3LL0yR3g54Al1XhlpW/MhxR1bCiCEjNJLYhyMiaAKsrc51Lx8hSvQtsHlS6zmGmEmGHPyfKEFYMyh1DapY1Yso5otZcd25+eO3iepocOmXpq9lCbRQlvbeiQILuD2xJlDrfxDD/2FncuepIZZAZTakBARMEqx2x1FpeKM2Na2vvLCi9+7VOOZ5zUTeGR3bEnb4hu/rHrjyzNT+3+UnT38UwgRltTgolDLyjt94UXXFdLDj6UmXvwP2RNb2rr4hi8TXvIRInpys0d+YRnVtGWUU/HuTb8vqaFurZQ8mp8bug8nBJeoBjod26xVC9N7a6W5g7XS3GEAAIsv2vqH9QMXEV8pApc6tj6/Gqh444PN/df9uagEOlVv03LCSV5KbVMrp47mk8fuL2VGd5Vzk890rXj7NyVXuIc6lp6dOfTfM8NP/K3iTaxM9Kz+Y0wEl1HLj2em9/+X4m1a4Yv23QAYdXKzh38OAICtAzd8CWIi2GYt45zDCbkgeWKtA2/5fKhl5XuNWmFy/NA9n8onjz+kepuWN/eufK872L4JY16pFmcPVIsz+2xLK5hacVorp4Zq5dRR6th6qHnZu0Ul0AkRESyjkipnx570BDu2xLs2fcIyKmledMe0Sma4mB5+bHLokc+bemmmpe/az8W7N3/SMrUcQuSfz/eL6HKfdwAAcGyzbFtaAVp6cezQPZ/KzR75pWObNV50R+NdGz9u1ApTM8O7vtbce82fINw4gT5nEMZE9AAIoKgEOlsH3vLFYGLwdr2aHXYHOzZDAJFl1LKOZZQw5mXAGOMFJdTUteX/OI5ZK+fGn64WZ/Z5Iz1v4UVP3NDyE1o1O1LKjf//3L13eFxXnTd+zu1t7vQ+mhlJI1nVkm1Z7iWOS2KnO50SUiCUpQV2lyy8u8vLhiWhvMsTFpbABjYkIZC2pDg9sRP3XuSiXmc0vd4pt573j5HA8CZgJ7DPj9/3efyHLM3cc8+ZOfd7vt9P2V9Mj+1S5XLaFVz8YU/Tyk8V02PvJCYPPmzzdlwpOprW0aylgSAZc53W9dK9rlDf7SZbcBkAENSk9AhCSG9YsOEfsrNnno+PH3gIJ2mTu3HZXRb3gstM1oalECMYpVaMZaInn8rETv+3lJs+hOEka/d1XetsWHSroau12bF9/w4hwJyhJR+lGUtAVaRUTcqM6ZpSLqbHdhVSI2+6Qkvv4M3ebtEeWu5pWvFpDCfveb/dIYQQsroX5HVNluRKdnz0+LOfkbLThwxDU3izt9vm7biqmBnfXS7ETgQWbPhKnUOMEQCAi0IPYBhB2nydV4W7tt5PseZAJnrqqYmBHV8ByNDtvoXbbd72KyjWHEC6VkvHTj0DAEKqXE7VyumRajF5plbJTrKCa0Ggdf3fEhRnQwgZ5ULshKZW8w1tG/8RAGQAiOEYRtCVUuLM1OmXv1rKTu6d65ZsCHdu/dbw0V/fAQAYvphxQwihYPYvbl9+27MUaw6UC7ETqakj9yu1Yszq6bjC7u/eTlKcrZSdOmj1tG+zuFo21qTMWHxs7w+z8bPPYxjBWD1tW62e9m2aUs1Kc5QngJBhsjYsNTsjG5Ch1WrlzFgxNboTJ2mTI9B7C2/29VZKiTPR4Z3fQcjQrO4FWxje0QznviuCxb/I7l94I4Tw+xfSUWF4e7PJHlqBYQRNc7ZwKTO+G2IY7m1a+RmlVorPju39d0NXJMEaWOyLrFlndkY2iI7GtcQcxfC8dWTc4f67LM7IpaosJTGcZAmKs9e1yQQXhlP8+TQ7hBBSlUpG1+QL6qJBCKHoaFwV6rr8X2nWGswlzu3IJQZfpRiTx+btuLKQGnu7lJ3cy5t9Pcmpw/9laErF37r+b92Nyz8BAAJSbuZQbvrY47nE4CuVYnwAGYbKiZ6udPTkrw1dqeqqXKxVchMMZwk5GxZ/ODl15JFCcvh1ky20whVaervZ0bgGAAAwguR8kdWf09RqDsPJH10Mrz8+q0ffeF1+Ye1aavMTj1d/smETfUU6bSR3v628tnottemB74gPCybM1Nqqds1MaeOXbWW279+v7Lz5FvauzVvoazdtoa95/LHKQ0OD2kCphIrpdC2xsJdc6vHiDRYLZo/O6JPDQ9pFC22fHwgZut0S2cwxjlaSYGwQYriBDLVSzQwDAH7xQd77ryVIirM5g0uusHnat4qOpnUUY/IAUEfQVEvJc7pWKyLDUOsFPkMHAMM40d1F0rwdGRiuyeUUzVmCvpa1X3SH++8spMfeTk4d/i+coHZcjOOhYG3o9zQuv5tmzf4LfQ1CCFlckUtHjj55F4TYrj88oEGIYTRrbuCtgcUN7Zv6BGtgiWDxL6rTSerPcBNo6Ee6Wpt7zl8w6vn8wDCcNNnDq4Kdl11pcbVs4kyudgAxXKkVY/nk8OuGoclWd9tlc2YKJCJoE0nzTsEaWOxtXPHJqpQeKabHdjn83a8WUqM7VaXyvsZxMQEhhAxvb/JH1m63uBdsMdmCy+bd/gxdrVaK8QGC4uxVqTSLkGEgQ1dwkhE50d2J4xSnqdWCptaKgq2h32QPr/LVSvFs/MwLJnvoZ1J2+uDFHJYxnGAhhlMAGcb02de/kUuce2n+dwxvb/JF1nzBQtIiIGgThpMMw9saL6YhBpCh4yRtsvu6rvM0Lv/En/hTTZWlFIYRewxDU3GCYm3ejk02X/e1FlfLJooRvQAAaBhqFQIIDUNXE+MHfqqplYzN23WNYPEvcQZ6b7a6WjdnYgPPivbGh6Xc1AVLEuAEzQsW/2JvZM1iVnAsoBjRS9ImN0ULboLirHXkWR1pNFdo1ZChq4auVDS1VlDlckqp5mdq5cyos2HxqVJ2cl+tnBm/4Lm6wIAYTkMMpyCGkYmJgw/HJw78ZB4xTlCs1du48tOOQO9NOIkQhpMsXc+d2T/7OCCGsYKjxdey9mqru+1ywdqwFCdITteUcikzubdWyYyL9qbVrMnVURfypXiC5GyM4GhxNiy6Ra4WoqXs5L58Yug1RrC/XpMyfxb9NYLi7AQtOAEAsFbOjFaK8dMkLbhcwSW3eRqXf4KYo/tDiJOephWfohiTh+EdLVUpNZiYPPhwpRg/ratygaQFF2f2LhRsDcs0pZKpFOOn1WohKph9vZzo7lRqpdnExMGHy/noMUNXJE70dvta1n6JnWMHUIzJ7Q71fYwXvQunzr76zxDCF98P+qTe9IYQGZpclzP4XczlJidCnZf/C8WIPl70dIu24AoMp9h09MRTufjZF1W5nOTNvkXzUhqM4GgWbeFVCCAkWPyLkGHo7vDS2xneEakU46emZ888BxBCoa6t33ov6t/7CbzeaF4b7tp2pcUVubSeT/6R94eQwDGKwAmKI2nBxYnudldoyW3VUupcKTOx1xVcsqeYmdjzl/iOkQ5HS32fQ0hLp0aUeHwAqb+Xg1Uon3eIaWpaDREyjEo1B/5CBbHz43+kwMMKjuam3msfEGzBZdVi4kytkpuw+7q3y5XcpNXTdjmGEUxq5tgvIcRwT+PyuzWlmktPH/+lI9BzE0FyVooRvQTF2XCSsRRSo2/Oju75AUEwoqOh92bW5GrPRE89k5w8/LNKMX5aVcppQ1ervNnX49GUT1/oGHVdrcxD83CCNjn8PTdoSiUr5aYPlzKT+4rZyb01KT2iyKU4MnTV7uu6mjW525FhaKmZ409Eh3d91+HrvtbTuOKTGE5yxfTY26Xc1AFWcLVqSiUXH9v7w3IhdkKVyymTLbh8DnKMVKX8Jw8TFCN6Q52XfcMR6L1JV+VSYuLAQxhBC0291zzI8o5mgmJt6eipp+pd3UoOwymeYkQvjpMszVlCnsbld4v2xlUkLbgRMnSlmp9WZCkBMZzQlErW0OQyKzhbU9NHH5sd3fMDVZYSBMmY6xob53Y4G3pv8UVWf75SiJ2AEO6+0E3nr2HdAQAAGZqqKZUMxDCykBrbhQxdESz+Xne47/J8auTNUmZyv93XeVWdlwsxguLtF/reEMMInKAFCHHCGVh0i6ZWc9nZsy/k4mdfrEqpIcPQZLMzconZ2bw+l5h9FUKMMDub1gEIYN0tDGIYRtC5+LkdlWJ8QK7mp5GhKwTFWU3W4DJn15LbzI7m9YamlOVqfkrXFKlWzo4jw1DdoaV3aGqtMDO084H0zPEnVFlKNS/a/h/1zc/TyYnujlo5N4EMQ3OF+m7jzb5eHCdZuZKbpFlzQy5+bkdy6ugvqqXEGYgRjM3bcaU73H+XYG3oU2vFeGrmxBM2T9s2XVfK5fzsiaI6tovmrCGSFlyZ6MknpfzMYV2VSwBAzNO04pMMb4/YfV3XFFIjb0KIPf1+ofa6rpR1tVZUqsVYMT2+B8cp1uKKbLC6FyxJTh15pFpKnvNGVn++Pv84SVCsFQBwwfokEEJo83ZtC3dte4BmzQ2F9NjOTOzUs+5w/52Cxb+E5qxBpVaKTw7s+EpNSo9omlykWUsAJ2mRJDmbyRZa4Wtd92XO5GrHCUbUlHJa1xRJV6s5DCOYWjkzYnFGLpWrhZnJ0zvuLWYm9hi6WiFpwZOYPPzzepIQXOaLrPnCXDHs4opTdWcDLjbyzv8pZSb2is6mdb7I2i+SjMkz/wAWrA19mlIOp6aPPp6dPfs8TjLmhraN/0uwNvTTrCUAMZwuF2LHRbxpHWtyLagU46eTk4d/Pk/xwnGKdzT03uIOL7uL4W2NAAEEIYbbfV3XYDjF07w1zPD2JrxOkQMYTvE2b/u2TOzU0+A8Dvt7zb/V0y7oaq1YrRVjyamjjxZSI296Gpff7Qou+ShChkbPdRw5k7tjPgGb1xkjad5FMqIbGZpCULyd4awhmjUH5EphWlPKGVWWkqVKdhzDSZZiLUGS4h04QZswnGDkSn6yvo/WLqiby4mezlDH5fcRJGtJTB58WKkWoxZnZAMCCM0MvnV/LnFuB6gX904SJGuzBhbdKtiCy3KzZ17IxE49o9SkBMPbGn2RNV+gWUtDpZg4nYmdeiY5cehnui6XCZKzusP9d9l9XddIuelDnOBcYPN0XIHhBEuxZp8iS8n4+P4f82ZvjyPQe5O/Zd2XqqXUIITw5Qvdp1UVqeEw8eSSJeRKpxvzSiWj2NZOdDscmDuXQ2maNpj9+5WdLjfmveIq9uaeXnJpuJFoef01+bmBU+rR629gb5sY14chBPDAfmXXylXUhpd21J6Ozxozt93BffaXj1ceyudR9kLG8u6fBwxz27uuc1hbLwcAQF1XK+Vq8gyGkSyGYRflaPjXGATJiKKjaW1L3y2frBc9cUqu5KcysVPPlAuzJ73Nq/6mnJs5rCrlTGr62OOaUskSJGu1uFo2cmZPd7WUGooO73ygkBrdSbFmv83TcaWjoedmq6d9q2Bt6Cv4hq8R7eEfSvmZwxfioDmHEiLrZCy1inRdRsjQDUOT5w8VqlxOKbXibF1IVJZEe+Nqky24zB1edpeUjx3DcbJGUJyVZES/aAstX9D/4bWsydVGMYKHIDkrQoaua7WiXMlNGrpapRjRh5OMGcMpDlwERfp3c8iKgtW/pGXJTXeIjsa1FGP2zR8WEEKIIBkzb/H1QoiTBMlY6vhnRSqkR3fFJw48xLCWoMkeXiU6mta4w8vusvu7r6sUE2e8zauezMXP7vggAvnvOc8QgyQjeLxNK69zhZbezppc7YahVSvF2VO5+LkdCADkbFh0azE7uU+pFqKZ6KlnAACIYkS/K7T0Y5zJ1ZZPDr8+M/TW/XIlN8mJnk5HoOdmm6fjCndo6R1mZ/MlmejJJ1nB8XCtnBm7kP1CruQnC6nRN0VH01pWcLQkp8qP1jUhwyu9zSv/BgCARo89/UlvZM0XzI6mNXO50gVDaFVZSkWHdn6bN/sXMbw1rFQLUX1OZ+28eSEo1uzHCZITLIHFJntopc3bYWrpu+V20R5eSVKcXZWlVCZ66ulCenQnxYg+Z0PvLdn42RdnBt+4T9fkUjp68ilnYNGtrlDfx2jOGnQF+24zOyMbsrOnfyNY/I9US8mz+rs0oTCcoGjOGrK627a2r/jYlazgaCFowYnVUQQQ1I2KippSzdUdd7UaxDBinjJXR/tjBEEyIsPbGiEMrUDI0HW1VpSrhenm3mt3JacOPzLnbPlncbPVlGreEeh9ydmw6FZWcLYYmlrWNVniRHenL7Lm8xRrDowPvPBlm6dtm93fcyNBslYI8T/b2RDDSZoV7JFg55Zb7d6uqxne1gSx3+kXQoygWJNzAcVZgjRrDgBQR7FXSonTs6O7H0SGrppsoeWio2mt3dt1jcXVulkuZ8fCXdteTkdPPFkvbl94gfoPg6RNLoJkLMjQFV2TJZqzhsJdW79lsoVXVkrJs5Vi4qzd13k1QfGOuQaXLOWjR1W5OMsKzlbR3rgKxylB12rFXGLw5eTEoZ9pSjlFMqLP07TiU1b3gsuQoSuVYvy02dm83tmw6NY64ougMZziVVlKQoiROEELAGIEb/EvCndf8e06xZZ47mKb6vNABQynuDl9zKMIIQQhhDRnaQh1Xv5PzoZFt0AMp62etq2Z6Kmn07H9TyPDUG3erqs1tZLTNUWqlBKnIYZTDG8L4wRtUuRSwuJecBkyDDU7e/Z5KR89plQLM7pWK5ls4ZU4TrJ/jj2QIBmTyRZaEVly4x2ivXENhuGEKpfT2fjp5wy9XoCfy+l/754LqZE3YyO7v0/SgtviarlUtDeupVjRy5u9CznR0+UI9N4kVwszLX03HUlNHX1UykeP6Gq18OegcBm1WoF0ulrl6anDkKJ5nGWtAID4/O8hhmFcR0cj5fUuRIpS1ktS0pAvXjPxYuMvXuDBcZIJdW39rNkZ2QAhxAlacHrCy+7SdaXs8HdvBwDCUm7qoMkaXKpUC7H42L4fAQgxf8vaLxG04Cymx94uZsZ3F1KjO5VaKc5bfD0O/8Lr7b7u6yhW9FVLqcHZ0d3fr/Ok5dJ8N4IR7EVdVy54Ag1dqdSFluvY/1z87I7o8K7vVkvJs4ahKwAZOoAQYzh7k8XdusUXWf1Zkhbc5cLsifT0sce9jSvudgaXfBTHKa6UmzooV/NTECOoxMSB/5TyM0fO5wKanc0kgBBHyFBVWUr+MQcUDCcZX2T1RxwNvbdAjGCQJpdcwSUfhRAjYqN7fjA7uufB+sMhP2XomoITNO9uXP4JT+Pyu5GhyRRjDmA4QSHD0HOJwZcrxfhppVaMqrViHCdZi9Wz4DKas4Vq5cyYXMlNmuzhlRBA6Aj03MgIjgWGJpcAAojh7c2uUN/HyoXYCQDAn0Qc/bWsOwAAIIQ0Q1PKDG9vtjgjG3CSNrEmV1ty6uijhq5U7L6ua12hvttwnOIQMjTiIrQ6cIIWIIaTACEjnxp+ffrcG9+UK9kJZOgKIzhavE0rP2V2Ri5NTh76WSY28Gxk8Q0/VWUpmU8Mv5aLn91Ryk7ugzhBU4zoY3hbI2/xL2I4a1h0NK012YLLEEK6lJs+lJo6+mhq5vgvkaEphiaXfa3rv1zKTh2IDu/8Tq2cHRMsgSWCtWFpHcYNIU5QvKGrNUOTSxhO0FJ+5khNSg/zVv8SCCA2dOiXH5by0aMAIMNkC63wNC6/2+ZpvwIjaB5CiFWl1JBSK8Qy0RNP4SRrtrhaN4n28GopN3O4mB7bZRhqjeHtEYLkrPnk0Gu1cnqksfuq79GcNeQOL7urlJ3aDwCYuZh1+u16GZqCDE2mWHPA6m7b4o2s6iFI1pKcOvwIhlOcM7j4Iw7fwu0AAAAhRhIkY76Ya7GCszXQdsm9NGcNI2RoFGsONC28+t+K2cn90eFd39HVal6u5Kc0tZpHCCHe7O1s6r3mBxQj+nCCNs0LntfK2bF09OSTaq0Ylyu5CcPQFU50d4mOxtUIIKOUm9pPMaLP7GheL1j9i+3+nht1tVaY03kibJ6OK+eS9jcuZn50TZays6efN3S1Guzc8g0cp/lKKXHWyE0fEqwNfazJuQAAZFRLySGEkFEX5HO11yHSvzs88WZfz9yMo2opOahrsqSp1Sxv9vX4Imu+YHa1XIphBKsplUwufvbFxOShn1VLyXMmW2iFI9B7I0HQpppaKwAAECs4WgVrcKlg8fdCCGf+2EN1zgr9yOixpz8p5WPH5oqaGm/2/XudkuJdaPd3by9lp/bnEud2yNVCtH7A0mTB7OthBEdLYXTP2xBiWEPbxn+kGJNbrhZmhg49dmu5UBdoBwggAAGoI4SsIc7k7qBY0V/KTh0o5aYPXEjxESdovqnnqs8L1kBfbGT396Xc1EHe4l+Ujp74dT458oauySWGt0dER+Nqi6tlE0ULLikfPTo5sONeTalkLZ62y/ytl/wdKzgX1A+bEBMdjaudwcUfrhTjAzUpPczw9ibB2rAUQoyAECOKmYk9qemjj1Gs6OdF78L4+P7/KGYn9joDvbfYPO3bKEb0+1vXfblciB4HF8HvnpjQRj/6Mf7l67azH33jtdpzV1/LfoiiIJ1OG4lC3sg+99+1X267grkhFMabhwa1gcu20tufeFz7aTCENyWTRhxCAO12zJnPGRmKgjRNQybSQrQzNGSPH1MPGMb7T6JIgrWLgn8pAghJ5cTJSi0zIivFaYQMQ9fli6aZ/DUFxYieQNulX3CHl328jtCNHc/ETj2biQ08K1dyExZX62Ycp3jBFlw+ObDj3pqUHrZ62q9wBHpvMjua1im1Ymxi4MW/zyeHXjV0TcEwYgoghEz20AqKMftIirM7Ar03C9Zgf3Ro53dwkn78T9OPDKPOANfl1NSxx4qZ8d2GppRVpZxSasW4KktJQ9eqdZojQgTFWRnWGgK24DKzs2WjK7jkNoLibGZH01re7O2pP1MwAgAAdU0uFTPju4uZib11bYjkGYQMPbL4+p+Ijqa1Sq0QNQztgtGfEMNw3uzvDXVedrvdv3A7AMiAEKcBhL/d5+BcgsIKzlaAENJ1RZJyM0cys6d/k5k58WTdnRQj9OTwaxBiBG8JLDZ0WeJET1ejLbjMFer7WGLiwE9JWnhGlaX0+17sPwjB4l8SaN/4vyzOlo0IGWohNfJGeubEr3OJwVcQ0lVv06rPkBTvZAVHa3xf1NvEAAAgAElEQVRs338Yhq44Aj03OPwLb+DN3oW5xNBrU2de+odKMXEGIYRwgo6RFO8U7Y2rKUb00Zwt7GtZ/2XBGlo+c+71b2AYvudPHdAwDKdozhquN6Iil/Bm75PuUP8au7/7unxi8JXk1JFHdE2W3OFldwFQp85fDEUaIYRozhIzNFnSlEp25NjTdxfT428D8Lvtg6JNnsiSG35qdkYuYU2u9sii639MMoIbJxhxvniTmj76mFwpTDsCPTdZXJEN8fH9P05MHPzP8xBXwxQrPoThBOOLrP0ChhMMzVnD3qaVn7F62rclpw4/wplcT1ZKycH56zKcNeRtWnmdK9h3G2tytUEMI1RZSqq14ixBclZk6GohM/ZOPjH4cjE9/o5cLcycrxGG4STDi54ukz20UnQ0rzM7m9bXRX0hxHCS4UR3Jye6Oy2u1i3Rkbe/R1Dsrz6I9uX5wfC2JgggNNlDK3mLfxFJcXZXqO/2qpQarNP/cxMmW3AFAAC93yLqu16XswZ9zatucoX7b6dowaNrSglCnPw9c4r6ZyoEAABGvRAykE8MvZKcOvILw1BrrOBsLWYn9+m6UsEJWtTVWp6gWJsvsuaLjkDPTanpY49zovvRSjFx7v2Mse4ARVDGXHGapAWnqlQyEwMv/r2u1Qq+yNp7CJK1/JZqhxEMb/YurJZwar7Zl4mderqUmdyHERRvcbds5EXvQpM9vIqkece80LLN03HFHJoN6lqtWM5HjxZSo2+VC7MncZIRTbbQCpu34yqaNftZwbkg1LX1X1WlkgHnURAvJOb1wiCEGCM4InXKJobqJjRbvm51t10OIMA0pZKRcjNHapXcBCs4WqpSeiQ9c+LXulYrsoKzVbAF+63uBVstzsglilyKZ2MDz6Zmjj9RLSbPGYYmz5+56rRhxgwgRgDwwQo8rOCMNLRv+mT9jIuT+dTwG5noyaekfPQIa3K1e5tWfhqv5/O/F4ahK8XMxN5ieuxtijX7lVoxZuhqzRHovRknKG6ODimxJmcbJ7o6bJ6OK7KzZ55PTB78T4jhBz6ILhkAACjR6DF5YnyvLklJABAS+pZ8hO/qPKcVijFgGBrf09MmLFn8YUiSjC5JKXlq6qBR/fN8t/9Y/EULPBiGE45Az3ZHoPdmCDHC0JUyhBDHMIImGcGNDENVqoWolJs5nJ09/Vw5Hzum63LZ4V94fS4x+HIhPbZLqRaiGEZQor1xrdXbfoVgCSymGNEHADKMOpLBFura+i1dlUu6ppSbF21PqbVS3O7rrtStfC8sDF39bYEHYhhhsoWWu4J9H01OHX5EU6pZwRroMzsjlwgW/xLW5GojSEbUNaVSyozvcYX677D7Oq8GECP0Oa5zavroY6XM5L4/1EPAcIJyh/o7IIRQ19SaUi1G331E9eDNvh53eNnHMYygVLk0Wy7EBwSLfwkydMVkDy0nKM4KIUbqajUnWPyvhzov+5izYdEtSrUYk6v5GYo2eZFh6AjpqmANLGEFR+u8cBhBcXYMJ2lVLiVqlew4xZr9EMMpwdrQx4nuTk2p5ip1cb7x+iGldRNn9nYDAPb8/2XdAQB1xXwIMYLm7OGFV35XU6r5TOzkUw7/wut5i69XsAT6SIqzAwihoRuacZ4I258KnGDMEEIcIV3Lzp55vlpKDuIExVo8rVt9kTVfJGmTOzr01gO5+NkXbN7Oq0hacCWnjv6iWoyfZgR7s93fdW1dHFBw4QRtwglKmOPYQoQQUmUpkZ45/kQmduoZDMMpwR5eVUeREczs6J4HKdbss3k7r5Kr+elqKXGmTgeEmJSbPpicOvpoOT9zFCco3u7r3k6xZn8uPvhSLnHuZU0pp+eKMR+va7TYGs8//CNDk0lKcHojaz4v2sKrGMHRPIdEQwAZeik3td/sjGxw+Htuig7v+nZy6vAjw0d/fWe4a9v9or1xtc3beTWGEz95f12qumUUa3K2tiy54WG5WpjOxAae9TSt/DRv9i0UzL7FOEEL8yO9uPWihWDH5o/zoq/H0NVKrZweMXStxvKOCMWIXruv+zpVLiVIWnBlZ8885wou9jb3Xnc3a3K1F9KjO+cRJYauyQTF2evdG0ODGCRwgjERFGc3dKVSldJDACFEMqKXYkSf1d2+DUKIaUolWynGT3Oip4sRHM12/8LtOMkcvBgnEgzDSbOjeV1VSg4mJg49rNSKMZO1YanV076N5m2Nhq7WdE0u0ZwtLFgb+jCcZOpED6QrspTU1EoWAojNd5kgRjCio2kNJ7o7a+XMCMWY/RRj8qhKOVPKTO5LTR//ZaU4e5ITPV3hrm33Q4ygpdz0wcTEgZ8aulqzetou9zav/hxBMmbR0bg2nxx+AwDwRztuSrU4CwB45vf/93dUglJmYvfYid98oVpKnaNYc8Du67qWFRwtpdz0oXTs1DMMZw15I2u+QM6h7Yrp8XfmOn3V339PoIC6JtRF6UJBCKHd173F6m7fmksMvjI7tuffNaWSzs6eeQ4nGFG0h1dZvR1XcqKnS9dkKZ84t6OQHtul1EpxizNyabBj89cFS0MfQrqqqdU8hBiOk4wZw3CSIBlRtIdXivbwSgDqBbvY6O4Hs7GBZ3VNluz+7usIkjVPn3v9GxDDCU942cfnE2QIITRZG/pdDYs/hGHE9y+m+/fiC9Un29qIhTfewt3J0JAplozC3KwbFgtms9kxp8OBufJ5IzsyrJ/buo25viyhUrWGKsWCkVvaT60GAIC9u5U37voEd09DEG/69a+qD6sa+EBJH4QYjmMUp+uKlMwMPKnpcmleIBQZf1zP5a81IISQEz1dTT1Xfc3qbr9cVaRUbOSdf8tETz5Zk9IjWB1lfKO3efVna+XM6Ozo7gcrxeQZf8u6L7sbV3ySpDl7OR89OjGw495SZnIvjlO8yRZaFOq8bLvN23kVw9ubIYRYZvbsc6zJ1cYKzgWhzsvvY0VXO0kL9/2xQgUyDHWu4YVXCrMnU9NHH/tDrbC6SyQt8hZ/rzu87ONWT/tWACBG0rwj1HnZv2AYyUAMI84r9CIpN3N4dmzPD4rpsV1yNT+DDEMnKNbsDCy6la/nHUCu5qfRBdJ7cYLmXcElN3qbV3+OFZwtlVLizMy5N+6DGE7afV3XMbwjwlu8PRhG/BYFVspNHUhNH/+lKpfTEMNIT/Oqz9g8bdsoxuwzdKWSjZ99YeTIr+5QlUqG5iwBh7/nJqu3fWu4c+u3zI7IJYLF/0C5MHvig2iEYDhBWVytm5p6r/kab/b1SPnY8cT4/h/nEoOvaEo5TdKC29O05vMO/8IbMrGB/05MHPgJhhF0sHvzP9u8nVcjZOiZ2MB/T5997etyJT9F0iaX3de5LLJo+41mV8tGkhZcuiaXcvGzL1jcrVvMzqb1NHd9KDr01rcgxB7+Y2M3DF2RK7kpCCHkLf7FLX03/5cmS6n4+P6HyoXYCd7s6xHt4dWc2bsQAADmmgYXRZHmzb5ekjF5FFlKKNViTNfkCobhBMPbm+v7ZS2vyuUUAHMuRoKjdR4hMTu658FCavQtwRroC3evfgAZhjZ19tV/LqTGdgIAIMUILtbkbjc7my9p7r2uhxPdnRDDSF1Xq2qtlMAwgqI5a7hhwcav2jzt23zNqx7Lxs+9yImu9ubF13/OZAstV2ulRDp64tdyJT/Fie4OmjUH88nh17Ozp39Tyk4d1NRaDsdJjqBYKys4W1mTsw0ggMrF+IDdv3A7w9uaIIS4oanVmpQZzURPPV0pzp50Niz+sNXbcSUjOFrCnZd/k+XtEZIW7v9zFA3lSnYcAYQo1tLQ3HvNDzS1WkhPn3gilxx8lWTMPpuv+1qLM7IBQoyoI44+GDKyToUMLW9adN3fi/bG1bomS9ODb9wn5WYO2X1d1/FmXw9v9vYQVF33CgAA5Gohmpw89LNqKT2EkK5ZPW1bLa6WjZzo6YQQ4qXc9MHxk899viqlRwiKsVhcrZudgd6bfZE1XzQ7m9fb/d3fzcXP7vhTGl/vEXXtcgChlJ85Wi2lhiyulo2hjsvv48yebgAg1HWlAlC9UCflpg9NDLzwt6zgaiNo3sHyjpZA26VfrZuxYKSmVDKl7OS+qpQehhAjbN72bRRjDii10mw+OfRaLnHupWoxcVpTq3mC4u0mW3A5QdIihhHU/J7I8PbmwIJLvsJw1rFaJTd1oTeiKpWMplSyiLOFATIMDKdY0R5e7fAvvEHKTR+ullJDACBUSI2+pdSKs3K1MGNocolkTB6re8EWi6tlE2f2LmQEezMyDD0ze+Y38bG9P5Ty0WN/KK1Qrx3hJEkLrvOLdhcbGEaQZmfzJc2Lrvs70d64GkAIc/GzOwqp0Z2s4GxxBHpuECyBPqpOC4aGoSmGpkiGoasYTjI4TvEOf8+NJltoOU4wIsUI7joFn2SVaiE2O7bvhwxvb3Y09N6MYXWaviu05KMmW0P/7Ni+HxEk++j70SSbDyUaPa6mM6O4SXBBgmQIi6WB6+6+FqlqFSCAjGolp2Zz4yCXn8QokpNnZg4j/c+L+Hy3+IsWeFjBucDXsu5LJM07lGphOh09+VSlGB8wO5rXM4KjpZgZeyc9c+JX1VJqsI6gqX+wSYp7lWItDQxvb3L6e282uyKX4gQtqLKUlHIzRxS5+IKmVHMIGRqG4RTECArHSZageRcrOFotzsgGkhHcOE4JFzpW4zx3AQgxnOGsYU/j8rvtvs5rDEOTMYygNFUukTTnqPOfEZoTglvH8I6IplRyucTgy1Ju+mAmduoZVSln5goaTgwjGAwnGYJkLa7gkh5P88pP16+pVuV3cXWZD4hheKjz8uto1hyoSunR9MyJJxjOGsbwMINRnNXibNnI8PZmpZKfqZYzw+GFV35XtIVWwPr1OAAAzKdG3qhK6SG1VkriBMVRjOhjTe523uztIUjGJFfy0+Onnr9HUypZTvR08WZfr6EpldmxvT9Mz5x4UqmVYjhO8b6Wtfe4Qn23WVwLtkAI9/6xDvxf07rX1xvidVFWDCdp3qlUCzHD0ORSduztSilxjqJNHmToCkkLLlBvXF6wWBdBMiKAGIYAQLpazRMka/Y0Lr/dF1l7D8QwIjFx6GeGrlY8zav+xuFfeAPDWUOecP/HAYAA4jhdV7sHSK1JiaqUGtI1uYgMTQEAAtbkaqc5azjQtvFrdF2szW1xLdhEkKxVys8ccTcu+4Rczo6noyefMnSl4mxY8hGlVppNjbzzfzIzJ57UdbXsDPTc7I2s+VwxPb57+tzr36hJ6WGEkMGbvQuDHVv+t9nZsnFOVPyYqpSzCBkqQTBmijUHAgs23DufwBm6WimkRt5KjB94qFZOj1o97dts3o6rVKWcKhdiJzWlki2mx95OTR/7Zbj7im+7w/13zonuXrQ2R51PTtAYRtAELTgrxcQZQ1cq2djp38jl3CTFiD5cV00UY/IghHRDv3D4LivYm+eSZC07e/o3lWLijLNh0a0AQlywBBaTtOCSK9nxWjk7Zvd3b7d7O68h61oYyGQNLq+VMyPF7MReuZybQIYmE3WXk/Bc18wBMZxIT59+Nj6+/yGas4Y40dPNiu72QnpsVy5x7qVSZmJPHYniX9TYc9X3zc7mDXNaFxfUnUIIIblajE0O7PhKuTh7krf4FnnCyz9hsodXYRhOVgqzJ/PJ4Tdq5cwYZ3K3O4OLPoThJIMQQKXc5IHJgZe+UpXSIwAghOEEQzFmHyu6OyzOyKV1mkV4JYQASrmZI+Mnn/+iptaKvNnTHe6+8nuiPbRCruSnYiPv/JtSK8YwnORER+MaZ8PiD80X3ER701qcYETwJwo873Fv+pxjj15Ije6slbPjVk/7NmdD7y1yJTc1O77vRxQj+oPtW/6ZFewtFGsJzNMw5oo7fzZILM1aGtyNy+5GABmJiYM/UaqFGYTqaIVgx+avOxoW3QIAgPGxfT+Kj+/7D1WWkjRrCfhb1n7ZFez7KE7QQrk4eyo9c/yJQmr0LYJkLa5Q3+1W94ItAECoKZUMxVmCGEYwAAGkVPNTlVLirMXVsjEXP/dSVUoPkRRn58zehfnkyOucqd6VwklGxHCKdzYs/nAuOfQqAODkhd5TJm2kgkHi/s/fw//TJRvorYU8yLk9mO+Jx6s/Wb6CWm+1YnYIAZZOGQlF1uSWVro9nTGSpZJRPHVSPRIOEy0UDRnRDK09vVT/iePKod3vKK8ZOvpAgpiaLhcVrZyymIIrg75V90BYd2WCAMCiFD0EAPj5B3n//y8GK7o7Gruv/I7oaFpXzE7snR3d82AxNbpT15QyZ/b2uMPL7jTZgsvzicGXs/FzOziTqz2yeO09c2gvvJgef2f63Bv/oimVtKNh0a0Wd8smTnAuYARny7x+CwAAmJ3N6+e7mwTF2V0NSz6cmjzycwDAexd4kK7OuTYSFnfrptTM8V8BAFJzAtA2hndEXOH+Hqu7dYvJFloxZ0xRdySFEMMJWkAIIaVWnK1K6SHe7O3BMIIxdKWiKdVcrZydxAmKFR2Ni8OdWz9i93dfh5OsFRlaTakWY38M8TwfJC04/a3rPu1pXH43QMhITBz4aWrq6KOVYnyAERwtUm7mMMPbGuHc4RIhw9DUWt7QNXmuKFviTK520d64GiMoXlMqudTM8ScqxfgAAAARJG0iKc5RlZLnigPj77jD/Xfa/V3XkbTgmhh48e8BAIffz7rPCbZfGe7adj9Bc/bU9NHHExOHfyblZw5DDCetnratnsYVd0OcYKMjb3+3VkoNW91tlzsaem9meHuToau19MzxJ2ZH9zxI0LzD5uu61uxsWsfw9maGszfO74c4QfEWV+tmQ9dqiEAaw9ubHIFFNyenjjwC6kXvd197Q1flan6qjgiieIoxeYuZ8T2syblAsPgXK7VSHCMoYd5uup5bESy4CIo0QbIWDCNopGsyQrqCYQRlcbVudIX6bosO7/oOxEgGgd/bU5CUnzk8fe6N+5ChKQ1tl36Nt/h6c4mhVxN1vRlVtDeuEe2hFWZn8yU4QQu1cnaiVs5NMLytsVbOjKZnTvw6NX3sMZIWXO5Q/502b8eVgjXYz4meLle4/3aKMXkJkrMV02Nvx0bf+TeGszXZ/d3XKbVSbPLMK18tZScPAAQQzdvCVrd7s2hvXGNyNK4mCMYsVwsz5UL0WCk7uT8xceA/BWvDUpMtuEzKTh1MR0/8SlUqWYo2efKpkTcFW7CfZs0BguJs7vCyu3RNLuEk/b0PKuotV/JTACF9jtobkPIzR3GSsbhD/XdoSjmD4SQz1xiFvxUaf5+BYQRl83VfE2zf+I8Ua2nIJ4ZeTU0f+UUhNboTJxlRyk0fojlr6DwXPlQXVK43FTGC4kmSt1vcrZtImncZhq7kZs++mI2ffg7UvyI0SQlOQ9drM0NvfcvsbLnU7uu8Jty17QEMJ1kMI54yjItvHGIYyZI076q7s/bc5Glc8UmKtQTqaJvYsUoxfpo1udpJ2uSeHdv3I4azNdrr4sgrcYI2ydX8TCE58mYhPbqrUpw9RdIml9nZfIlg8S+uSZnR5OTh/8rFz700R8d3Wdytm0V701qTraGfoHg7hBhRK2fHS9nJAyQtuHiLf5Fob1zjCvXdhuHkty9Ut9LQlHI+Ofw6J3q7MYLi/S3r/pbmLMFM9OSTpezUAcPQZICQYehqdQ7ZJ5idkUsDCy75O97iX4wTtAlCiAEEQD4z8kZy6vAjtXJmtC52bHUSJGPGCUYkSMbsaOi1EiRjMTsjl1zsfM8HxHDC7u28Kth52TfqAIS6fInF1bLR7Gxe/1vjAAAxQ1OkWiUzrlSL0aqUHkHIUM3O5vWcyd0JMYICCOlKNT9Vl0eo55y1SnYslzj3krdp1WcAMvRaOTNWLsQHIMRw0R5aEezY/HWKEX0kzX/v/VrVG6pao3y+x4VFvTfpZSlFeT3dkCRZNZk8Z8iypKXTI1o2O862tV2GNF1Rk8mh9ztfFxN/sQIPxHDc17x6M2/29YJ6e9jgzd6FvOjpLqRH35oZeuuBail59ncwLwznzb5OiyuyoXHhVT2s6O7kBFcbQoaWSwy+komderqcjx6XK/nJ9+pK1t1UeCcnejrtvu7tzuCiW3H4/8K53i10Ta0iVO/01/nkuqwp5axSK8aqUnpYV2sF1uTuIEhGlHIzh3VNLpns4VWcyd2pKlJq+txrX09O1VWxBWugz+tq2cjw9qa5AzowdK1K0LxTsPh6cZK11MtDtUKllHrPgxvD25sszsgGiBE0jlOcs2HRh0hacJULsyeLmfHd5XzseLWUOCtX81MOf8+NruCS2wAAsJSd3JeJDTxTTI/vrhRnT/0hP5VmzX6Lq3WTt3nVZznR3e5vWfsliBE0MnS1KqUGMZxkLa7WzRQteku5qYP55NArs6N7fiDaQytNtoZ+vC5k+q7Vzr+2da+/HicIkjEjQ9fyqdE3p868/LVqKTVksodW8GZvd3ziwE9Jmnf6W9bdAwDELuZhi5OMGQKIA4QMACD0tay9x9e8+nM4SZtUWUpaXC2X8hZfr1zOjhu6Vq1rxnBWhBACyNA1pZLORE89k4kNPFstJc+qSiWL6hB1KDqa1oW7tt3PW/yLGtou/QcA6sKDiizFq1J6OB09+WQ5P3NEdDStc4f779Tkcmb81PNfknLThyHECU/Tik8FFmy4lyBZa3Li0M9q5cwoQobOmb0Lm3qu/QFv8fUU0qNvpaaOPiblZw7P21XOHywd/p6bbN6OKwmKswJk6EjXaiZ7aKUr1Pcx1uTuyMXPvZSaPva4lJs+BOofBmR2Np9Ahq5yJneHK9x/J4YT915sxwXDSHaOYlZNzRz/1czgm/+qyuWkzdN+BcWK3ujQW/cLlkCfp2nFJ+taDsoFrdfcZ/dShrc3G4ZW40TvQourZaOha7V09OSvpezkgUoxcbpSSp4lSMYc6rzsPoLm7apcTmXjZ57PxwdfLuWmD9Zd2c53qSBp3uzrdQUXf8QVWvoxi7t1C8VZQgxrDZYLseNI12RWcLRSTL+XF70L86nhN0q56UPx8QM/blp49fdZwbkAQjh4oVxhuZKblArRY96mlZ9xBpd8hKQ4W7kYH0hPH39Cyk0fZE3ONmfD4g+ZbKEVGF53INDVan5maOf9hfMcF+ZiEgCwDyeoX1pcrZuCHZf9Cye6O+vorv67aM4aEqyBJRhGsoahKRhOMCZ7aKVSK8YYztbImlwL6i5yho4ABmneGqZ5awicx0++0KgLVGo1hHRV1+SSK9R3mzvcf2cmevJJKTd92OKsa45UivEzUn7mqLdp5acByZgRQkhTqzmE/jwdExynWG9k9S2io2mNlJ3cX0yPvwMxgqY5i9MVXHKto6H3FoKgzeVi/GRi4sBP5Ep+hjO5FgQ7L/sXm6fjKgCQnpo68mh0eNd3qlJ6eH4vJCn+eNoeWgEBxBS5FLe4F1zmi6z5PEGyVnd42SekfOxEdvbs8/OaTBiGlzGCEhjeGpbyM4fHTz13j8kWXukO99/JmT2dNk/7FRhODl2MoPnUlDbu8eD/cO6sdurKq9ib3S7c53BgbocTczc24q2ZrJHa+Zb8EkFAYu16aksqaczSNGAu2cBsxXCAf/oz/Ff8ATz81pu1HT//WeXBZEK/6HX+w0DI0DWtmjMMtUYSjFVVqxkEAUCGrlCU4IYQw/6SFrr/08EKjkh44ZXfnCvu7ImP7f0RBBAjaN7hCvff4Qz03lIrZ0Znzr1xH0FxtkDr+r+jWUuQ5qzBUmZiT1VKDaqylLT7u7fzoqfb0NVKIT26U1eqOUZwRAxdk+f3iEph9mStnBlzh/vvsLhaN0EMJ8+nL71bGMZ8gQfCeg7kajM7mtoCCzasEazBft7s6aZYcwAgZCi1Ujw+vv8hkuKdjsDC6xECGDI0uZAafTM5dfRRijX5OJOrHRKMWHc7ok282bewoX3zh6zu1i1o7rkJIYSqWiuoSh258ceCoFhzQ9vGv/c0rviUrtUK04NvfjM9c/xXnMndHuzc8g3BGuyfO0yNSfnoUUNTKkqtNCtXshNyJT+la3JJdDavt7pbt2AEJRi6UpZyUwdo1hJw+HtuNHS1jOEkp8qlRCk7tb+OwIgPhDu3fkt0NK4Jtm/6R4az/s3FdN0BqOcxZldkQ7Bj89dpzhKcHd/3H8XU2NsQw3BOdHe4Q323i/amNfnUyJuF1OhO3uxd6GxfdCvFmDwExTky0ZNPK7VSXFdrhcCCDfcyvL1ZrmQncrPnXrT5Oq9heHuTrtaK1VJqUCrEjleKs6c0pZINdW27n2bNfgzD53Vk3jMQMgyrpz1l6GoVQgjL+diJSmH2ZCk3c0iuZCdMttByu7/7uqqUGjbZgv0AYjiGUxdVLKijlHFyzrWUdwYXfcjbtOoz5eLsKaunfZtoD63kRE8XQgjND5ZizQFf8+rPMbytUddkKT5+4CGlVoq7gks+yomeLlZwtmpqNZdLDL4iZSb3IWDortDS2wup0Z3p6MkndU2W6ggB0a/rSllVpHSlGD9tsodWCBb/YgAAKKbH3klNH3vc7uu+jjW52lPTxx7Lxgb+G0CI2b1dV5tdLRsFi38xzVnDuiaXCqnRt/LJ4dfK+ZmjqiylzK6WS63uBVvqWlnHf6nKpYTZ0bROsDYshRhO4ARlIinOWUyP7+Et/l6CYi2eppWfrkqpQYjhTyFDv0hHzd/FvHEAhBhZLaUGy/nZE6Xs5L5KKXmW4W1NwfbNX5erhShJCy4AAcTw3xWBLyYwnKQdgZ4bQp2X3UfSgjMxeejn0aGdD2AYQbsbl3/c6mrdDHGCNTRFSk4efgQhQ1NlKSlX8pNyJTelyKUEKzgi3qZVf0NQnAMggKrF+Gl9zjGSIBmzoWsyhBCWcjNHUlMzRyZOPf9lTSlnPE0rPxVs2/SPaq04CwB462LHDjGMcIX6bnMEem4UrA19yDC0fGLw1Wz8zHPIQLrV3bMNTbwAACAASURBVHoZJ3q6srNnfmPztG+zeduvwHCSqxQTZzKxU08V0mNva3I5JTqa1nnCyz9B0LyjWkoNxkZ2f1+VS0mSFpyOQM+NJC24fksHYwTXXBGpFB/f/+NM9NQzSq0QMzsjG8Kdl3+TYs0+V6jvY9n42RcBAEcv7EYgRrFmP4bjVLBt0z8Zhi5L+ZkjrmDfbc6GRbemZk78Kp8YfIViLQ2uUN/6pt5rN4j28CqGtzfX3dUgrP9DiBM9XY3dV35HruSnAEBgTvjaSlCsjaB4+7xb6e8ujnSk6xecz0MMJ2zejqvCXdvupzlLUK7kJouZyb0ULbgFa6CvkB7byfC2Zik3c1ipFWO6ppRN1oY+irMEndbAEogRdDkfOz555uWvlbKT+2pSeiTYvvmfAQBIruQmlVopkU8Ov06QrJWkBXddq/bIL5Racdbm7bxKsPoXk7TJ44us/iwAAOAEdd/71XNS4/EB6fBhmWlp2QApioM4TmmZzBhkGBFjWDMTadmAi6K3+Pbb3zfk/xkXxr9YgQfDcMrsilw6RyUBBMmIyNDV5NTh/8rOnn1B1/5AYAhCIFj8i4MdW/73/OZSKcyemhne+UA+MfiKplSyf+qAM5fkJQAACZLmjhuGWrP7uq5R5XLqfC7su4WhK+V5S8ZCemxXfHTvD6ul5FmKNfutnvYrTLaGfqVWik8M7Li3Wkqc9TSt/JRoD69WlXJ6ZnDn/cmpo49RrNnva179eZu340oAASznY8ezs2eel3LTB7W6FgUgGcFtcUY2iPamNVJu+tDv20z+3vwR7nD/pazJ1QYQ0jGC4rVqNZeYOPBTDCNpXvR0U4zJQ5C0aMab1/la1n4JYjgRHX77u4mJg/+pVAsz71UQkauFKMTwR+VKbrJ58fU/NtlCy3OJoVejQzu/TbEmryPQc6OmVnNz1qA7VbmcRoauVoqJ04LFv4RmrSHwHp3hv7Z1B6COCMFJ1qLrajmfGHyZoHiHu7FxjVotxmdH9zyoVAsxX8u6LwFQ100ydPWCN4C6gxbEAEAGxZoDDv/C7bVKdrxSTJwpZSb2VIrxAV1XpDqU191m6GoNw0lGV2v55PSRR7OxM7+R8tOHNeX/hQ9CDNs5fvK5LzYuvOp7vMW/GEKIlbLTBybPvPTVWjkzSnPWUKjz8n/lTO6OQmbs7VJ6YnddgKx1o6ErFX/L2ntIkrXqulqBOEFDUMdBB9u3fJ0T3Z2zY3t/ODuy+0GlVnfnOO/SMQjhbCk7tT8XP/uCv3X93wnWwGJHQ+/NyDA0uZqfmTz98ldLmYk9GE6yrMm1gOZsjYLFP63K5eFc/OyLdl/XNRZn5JKk4GwBF0mPwQmSw3GKl6vFaD4x9AoversZwRGpFOMD0aFd39G1WsFkC60AoE7huFBIP0lxDruv61oIIQQIGSTN2QvpsXdq5cwIw9kazc7Ieoq1BHCCFtzh/jtFR9P6UnbqwMzgW98qZSf2vRdffu5AfoBiTOMAQOBuXPZxXvR2R4d2PlDOR4+Z3S0bKc7cUCklzuYS516qSelhQ1erUm76kKZWC7zZ15uNn30BAHBBCR4j2Jsji65/iBM9XXIlNxkbeft7xfT4OzRnDflbL/mKaA+vghhOGoYmQwwnIYSYlI8ek3LT79l11jWlAjH8BYQMI7L4hp+QtOByBpd8BBm6UpVSw8XMxJ5Ccvg1pVac5S3+RXULdWtYV2v5Ynp8N8QJ2uJq2YhhJM2ZXO0AgAMXci+/N4+GriBDkwHECKun/Qqas4YghBhv9vYYhq5KuelDucS5lzjR0+VrWXsPSfPOuZei8zXQPmgI1sBSd7j/LgzDKWQYqiPQc1Mdqm8J4iRtKuejx9SalCikx95WqsUYw9tCjd1XftPqbb/C0LVafHz/j2Mjb/+fORrab0NVylkAwIvzPxMkc87Q1WrDgg33ciZ3uy+y+nPjJ577AsSwOCs4F/hb119DUJwtN3v2BV1XysgwNFUuxXWtViRp3uEI9NyUjp58ElykE1s8rsdoGv7g5R21p/uX0Ws3baav6ugkeq02zIHhEO9bSq2CEEBRxCwrVlKXQAgw7/+l7ruj5KjurN+rHLqqc+6e7sl5NMoZIUCAyCDSeu3FxgbnsLYxa++uvzW7XgfWaxzW/pwwhrU/wGADJkeBhFDO0uTUMz2dc6hc9f1RPayMEczIeM/xPad1zhzNdHW96qr33v3d371+NDwyop588Xnx8ZMn1O8WCnquUtEXHdf+TjAMTS5X4wdRlOA0Ta40IrhpAIChqEIenGnQ8WcCxRGctpFOVdJERVBrmrL49s73AgTN+6O9l/2z3dt5iSJWUqX0+MsOf+/VQjU76mtZ/3GKdTQXEkNPCrXsuCu07EYEwahyfuYNxiIUCNoaQDDCwloDg6oqluqlxPHZ4Rf/VdeUOueMbrJ52rcJ1exYcnLPf5Wyk6+p5qavCgCEZgvV4u4PQ1NFfSGFB6fsbStvvBdBcRrFSE43W12Sudzx3xYz4y9V8jP7FKmWaR289gcAQKipUiU9c+CX6ZmDv7R7uy4LtG/+HIqRfK0UP5qfP/U4ZXF3OAN91wm13Pjk0cc+rWuK0LzsqntwstmlKWJJlevvaNaN4RQf7Nh6R8MDxsjOHX3I0FU52n/Ff5CUNYCRjKuUmdyZnHz9v1RFLEKI4LTF3YHilI2gOA/vatnMOaIbcZJ1AwihWMtNqHItq8j1nKoIRbGWn+SdkfXl3PSeueGX/q1eTp4CEEFxkvPmk6efpHlfn9XTfpEnuuZWFCO+vdjNAoQQWuxNqyM9279Oc57Ocm56j6YIRbu/+3JFrCTsvu4rGufzIDAA8DWv+6imCMVCcuhpu7/7ChSnrATFBwjaFlLESrKSn9mbmHzjxyiKM85A33UM7+0pJEeeSU7t+XGtlDyhKWJZ0+QqTjCu8BIUrgAAoKtSVVPFklQvxsYP//bDslRJIRDFeVfLeVZXy/mzQy/cRTK2MOcwibSltswjDd9CnGRdTT2X3MXy/j5VEcsIglMAGCA1feBezt601tu85iO6pggIgpEkbWsiaVuTWMtNCLXsuM3TfpFh6JpQSQ8lJnZ/XxGraa0RWmFzt13gb934KYKyBpPT+36KIBgZ7N7yBZK2hknW2QIhRNIzB+/LzB75Tbjrwn+yebu2IwiKA4gggfbzPq9rSn1+/LXvitXchDe65sOcM7qRbCjPFamSzs4deyg9c+CX9Up6CEIE413RTU29l36dtrjb8/MnH6sW44dtnvZtFOuISvXCTCUf2wshgjG8t3fm1DP/UM5O7Y70XfYNq6tlC05aPIHWzZ+tFeePAgBG3nXwzgJDV2VFqmZ1TZUnj/3+U7Vi4hgABmCs/gFnoP+61MyBe3VVqnasft+vUYy0vDWNcjGAEEGcwf4rI33bv4GTnKeYHn2hmo/t87du+jRtcXfgJOuRxUoiPvTc/xFr+Sld1ySKdbQQFOdDcdpm9bRdyDki62iLqx1ABJWF0pymiCVJKM1qmiIIlfSww99zpSxWknMjL329mBp9XtdViWTskXJuarfV3bbVNI7e8gWSto5Kwtvvrd4JrC20QtdVsVqMH8nEDv9akSpJu6/nCpu34+JGaiF0hQZuhBDFxVpuIjN75Dfl3NRuFMUZh6/nSruvaztGMM7s3LGH6pXUaYbzdrtDg3+jaUpNqGbGK/nYXqGaGcNJzuMOD97M8L4+CBFMKKdP66pU9bWs/xjLe/twivNiJOsCAACScURdwf7rIYIeX4xXDIaRnMUeXgUMABS5limmxl4gaD7oCPRdayYYezrtno6LzSRG3g8RBNMUqVItzB4wDENjOE+3psk1BMVpguJ85osPykJpVlXFiljPT+tVdQQnWBdOWtwYwTgwnLIhCE5J9eJs1fT/W8T3BULe1bIh0nPpv6IEbc/MHX2wnJ3axVh9fSRja5qfeP0Hyak3fmxzt2+r5Gf26LoqOXw9V1g97RcpUjVbSI2+UEgNPb1gc7IgPYuP7bx7fnzXPYahqxBBcM4eWRvq3HpnrZQ4Xi3MHjCVU83nMby3BxiGVivGD9Ocu9PXvPY2SSjGEBT75blYRxi6rgMARlCGSSuZzJhlcPBGIhAcNIBhGLJck2Zi+8qvv/5fau69T/E6G/5iBA+G0w6adXUAAIAslOZmh1+4Kxs/8Ygq1/9kE9SY3Fa5QoM3oRjJAcMwqsX5I5PHH/tMJTf9ju1AZ4Mi1fMYTv1LLn7iUUWuZ98tqUpTlZphaAowDEOqFWZqpfgRm7frUnd4+ft1Va7Oj+36biE1/IyqiBWrq2Uz74ysrxbmDian9/40Fz/xCEHbws0DV/6nzdOxrV6aPx4fe+07+cSpJ95mgp8CAOxdYD3Pdm4EbQ16IqtuMXRdScy8cV8lN70HGIbOOaPr3eHlf4viJNfwc7gAIxiHrmtKfPSVb86P7/reYhYVhq6pCILtzs+fejzYseWLGEZyDUaaTs8c/FUxNfqc2vD9gBBCgrYGcZJ14xTvb/g9vC3B89d23QEwjQARBCUgRLFA26bPlbJTryXGd91TKyWOE7Q1xNpCKzhH09qGD1JxwatpMcBwiocQQTVVqtTLqdOTx37/aaGSHdVUqWr3d13uDPbvkOrFmFBJD8+PvfqftOW6NpKxR0qZsZdnTz//VeVtxm0Bhq5rECK7Y6ef+2rrih0/JShrkOY9XQ5/71UoijN2f88VJG0NldLjL1OMs4WOujuFcvp0ITX8jMUeWk1QvF8WSvHk9L6fp6b2/swAuuaNrP4w74ysT07t+8ncyMvfUBXhbTdpjWtThBD5vVjPT0X7rrjb6mo5D0ExCsUo3te89jaLLbiCczSthRCirC20Ijt39MGp40/8fWLi9R9Y7OFVJGOPUKxrSQQPhAh0hwctEEFxguL8kd5Lv56Ln3g0MbnnR4pUTRO0NURzni7W6l8GAACaKleNRWxcIESgr2X99Qzv66vkY/sys0d+IwnFWYLi/e7wivdzjqZ1uipXGd7Xv2ASWsnH9k4de/yz1eLiJjRZrKQ5R9P9Nk/7NoxkXTTn7qQ5d5ckFGPjhx+9Xaikhha+8wiCEZTF1Q4RBDPTXSAKFkHwQAghhtN2WSzPp2b231vJx/ZSrLPN37rx0w5/z5UQIlg5O7VLlqppzh5eTVvcHQBCpFaaP6o1SOizwdA1DcOpndm5Yw/7Wzd8AgAIc/Mnfjc7/OK/1cupIYstuDzYcf4XbZ72bVK9GKsV44cUuZbDCMZpdTStMbMEMIo2CZ4lw9A12WyXRTDW6h9oRIa/VCnMHVDlWo5k7BFf8/qPeqOrb8VJi+eMMUHM1A4Enmty2wJwgnW0Lt/xKYpxRAEAAMVpO825u1S5ntc1WUBQgsYIxoliJMc7oxsr+dheu6/zEoe/50rDMLTM7KEH5kZe/oa6iHhlVRErGE7/1GILLncFB250+HquFMrpIbGen/ZGVn+wXkkP5xOnnmCs/mX+tk2f5Z3NmwEwtFo5eRIjWBfFulod/p6rAADfWep5SpIhAQCmAQDTThfyzMaN5IXdPdiyUAiNrt9AXEBRkBobVU8JglE/dFDes/MV6enhIfVE4+/eUzTuiV2N118U1gAbXf3BzjtUURWqaSHOeZnfVFL1czKDXyoQBMWCHVtucQYHdkCIEhDFKU9k1YcAAIbd17Udw2lbvZw8STC2JpK1R/PJ4afrxfmjnsjqD9l9ndvFWn6qkpt+vZSdfLWSn3kDxSjO4e++0hVcdqPF0bTG0DV1+tBDX87OHfvtmceFEELTmHNxrXS6rooLMcum/pXkqoXYvmph7lC1NH+kVpw/ZrYs6jqCYqQruOwG3tVyPgAAZOeOPZSc2vsTb3TNh33RdbfruiLmk0NPqnK9QLKO5nopeXLm1LP/uKBsM9tTzbWSqorldyJ4GhvMS/wtGz6J4ZRVVcSKw997lSs4eGNics+P4iOvfFPXVUkSSnPm+gfFXaFlN0Z6L/uGrjeSusz2Mb1amD1gFrcqSVkoz0MUo3jTFHpA0xRBrOUnOVfzZob39vHu1vNt7rYLVFUsoRjBoihOe5pW3ZKfP/U4AODIYsa00VL2Rc4RXm0YukaQFq83uvYjmiKWCNrWBCFEytmp13hXyxZFqqZT0/t+rqtyNdhx/pcYztNVLcQPlbITr5azk6/Wy8lTlMXd7gr2X+8M9F9HWVztQjl1aurEE58XKpk/IntRjKzpS2xd1TWlrqly1TA0VZaqaRQjOVdo8CYEwaj58d33qHI9H2jb/PcAmCmWeGOjuliYqaMITtK2JlkoxxOTe35Uzk681vA2Up2B/us4Z3RDKTPxSik7+Zo3uuZW2uLuUuVatl5KHK/mZ/dVC7MHaqXEcVURyhBBMYqxR+3erksdgb5reWd0I4QQTccO319MDj9TLc4dVqRK2unvu8YZWnZDbv7kY8nJN36syrVcPjn8NO9sOQ8haBvvjG40DF2TaoVpd2j5+8xgE6VeLyVO6JpSL2endmXjRx8q56ZfB4ahWz3tF/qia2+3eTu2oRjJ1cupIYjiNGv1D1SLc4fziVOPWWyhVabSqjATH3v1P8RafhpBUCx2+tl/8rVs+JQrOHC9xR5a5YmuvhVC5MvnqlQ0dE1RFbGAYhSviNU0gADafT2Xs7x/IB07eJ9YzY07g/07IERx0yvL4n73d/1j0BZ3R6hj6z+QtC2k65pMc56uaP8VdxdTo8/Fhp77qqaIZVksJxb2JxZ7aEXLsmt+QNB8AEFwmqA4r9liXowVEqeflITSnPkc0RSG9/XZvB0XQwQlhErqNMU6Wx2Bvmtpzt3pCgzsABDARhABanW3nGf3dW+HCHrfUs1zNVWqpKb2/rSQGnnW5mm/KNS59U6c5DxSvTCjykIRJ1knipFcfv7U47nEqcdwgnWFOrbeyTujm9CGEbNhGLo7vPxvERSnIYLi82OvfTcxseseWaxmUIxgnIH+awNtmz7H2oLLAYCIqgh5qV6I6bqmCJX0MIbTNprzdi94g0EIEbuv5/LE5N4fg3dJIF1ArTR/vFaMH8nFjz+STw4/w3CeruaBq+6xulu3WOyhVTjF+Yrp0RfEam5CFisJRaqkCZr3c47IhkYC9H5f89rb7N6uSw1D11LT+38+P7HrHkWqZhb81iCCoARlDdAWVwdlcbZiOG2vlUxl2GI+I8nYI+Gui75KMram9MzB+3Rdldzh5X9Tr6SHY6ef++dKbmavrqsybXHtsbrbLrS6287HCcaZmHj9h8XUyHMQQXCHv/dKa3vrHTTn7jQMXS3npt8opcdfrBRi+3VVrjmC/dd5I6tv1VSpYhjAsHu7ttdK80cloThD0tZAYmLPfxWSQ083D1z1n1ZP+7ZQx9Y7G2247+gz+1ZADMMhihJA1zVdUQoAgBchhC8hFosbIQhWq/7vpGa9FX8xgodinc0oZvbh5uZP/j4dO/zAmXG/CIJiGME4ac7T1dRzyYUkY48QNB8wDMMQa7nxmVNPf7mSn9n751RdGwTFnsX8rmFoWt/mj9UMAIDd13kpw3m6MIJxZOeOPmTKPctvqhiqpfiR4X0P3KSrclUWy/MEY2uK9F76dau7bWs5M7Fz+tQzX6mV4kffajz4x8d75/NyBHqvYa2BwdT0/p/NDr1wl6FrCmVxtbO2wGC1OHcwO3fst/Vy6mSwY8sdDn/v1bXC7IHk5Bs/WYq8zDA0tZyb2hUwzvuCxdG0FkAAklP7fg4ABP62TZ/1RlfPaYpUCXVd1MNaA8vMfnrGQVucrRBB0beTjP61XXcAAEBxkluQJNYrmeFKbnqPKzz4vlDXRf+84LDPWH39AELUXNi8uyrof96bskIIEU2VqopUTQuVWpZzRDZ4IqtuwQjWmU+ceryYGn1BVYSiK7TsBhSnrJoiVTJzxx58q0H328EwdANBsJcSE3t+GO666J8xnHb4Wzd+2jymXKuVEserxfiRcm5ql64pgsUeWhnuuuifUIzkU9P7721EXx8zI+b9y9zh5e+T6sVYYmL3D85G7rzl+DqE8MjUiSc+377ihp9b7OFVjXa5vmJ69MWZU8/+I0ZQtkjvZd+sFuYOaZpSr1dSp6V6YYZ02SMM7+1BUOypRTPmEKIIZnosGcDQzbSK4mywY+udJG0NQQQjUIxgac7bDQAADXPid/0uUayj1R0evFlV6vnpk0/dWcnH9uGkxc07oxsVqZpOzxz4ZWb2yK8XVFGGrknJqTf+b62cOLGoz92AUEkPSfXCDGVxtbtCgzcnp974cbUwd9DmabvQ7uvc7gr2T2EE62xedtWgxRZaiWIUT1tc7ShGWQEA79qeAAAAqiIU07FD99fLqaFgx5YvLhB+xfT4y5Xc1G6KdbZYPe0XUqyzbcGTYUGl9+7vLVY4e/h+m6dtK815e4VKZkSs5SZJ2hpsXX79v9o8bRc2SDUdwQgLiREWhvP2LahpIILiNOtqQ1CMWGqVxDA02dBUEQAIZbE8n5zc+xOxlpskaN7vbV73UW9k9Qdpi6u9sQGbImlreKHPH8UIC4QQA+DcDX8RBMU8kVXX2Tzt2wAAoJgee1GoZEYY3tuD4bQVI1gPQVsDZluuoRdSI88BAIDD13MVgAhaSo+8EB997TuLIXcWoCpC2epu/ZnV1XI+TvF+f9umzwDD0CFEMATDWZu77QKUoO2qVMtmYofuz8aPP6IqYql54Mrv2Dwd2+zerstI2vr/JKE0f67nncvqGQDAgzgOH2VZaCEpSGMoQAEAQFWBWijqOVky3pNI3wUgCIpbLeF1NOVoTedPP2q1hNZZGN8AAAACoKuarooYSlhkpZaaTx954L06rgGAUYhVxlRBq8s1pUKw2NIM+88RECKI3dd5iTe67nYExRnD0BUIAMAI2tbY8GKqXM9J9WIsO3fsoXJu+nVZKMVt3o6LDaDrY4ce/pBQzYzqmiqStDUU7Dj/Dpun42KKdbYiCEY25iwj1HnBP/Ruuu1WRapmZLGcUMRKwhValkBxkl/svKZryhkEj6HXSolj8+O7v1/Jx/ZqqlRDzcqv3+bt6G4euOpaZ6D/Opy0uOvl5MlSZvzlUOcFX3YG+q9DUJxRapU0BADUS4ljxfTYC2ItN3VmkhOECGYmMRmGprwzwUNQnC/QtvmzKE5ZZbGcrBbjhxnO24NiJGfzdmwjaWtY15Q6QFDc6mp5ONx98SXuphXvBxAi9VLyJIqSHIQoruuKSDL2iCs8eDMEZsMKihHsQqSxUEmd1jW5BnRNIVlns8UWWqEqQkGoZEaK4vhLVlfzeSRjj7hCAzdACI++21oGQTEy2HH+7XZP5yWmH4kqojhtRVCMxkmL2zAMXRZKcbGen87OHXuoVowf0Q1N8UXX3lbJz7wRG37ha7JQigMAIcN7e1oGr/0B54huJGg+AE1DUhGnOF/7ihvv7dnwobwsVlOKWE7IYiXh8HcXllKwAgAA3dBUQ9cUknFEIz2X3EUy9ki9nBoqpseet3nbL3b4eq7gndFNjeuHNiLEFwUEwfBI33YLhBBWi4ljUyeevKNanDsIDMOgLM5WX/P6j9s8bRfk5k8+lo4dut/h674cx2lHanr/z/OJk48pUi2LoDjN2oIrnKFlN3Wt+ztf3+aPeXGScRGUNYhiJFcrxg8nJ/f8KJ8celKRalkUp6ycI7qOczVvmht+6euVQmwfydiaXMH+6zln80aIoMRCm69QTp3OJ049Xi3MHURxkuNdLVtQjOSSU3t/VsnH9uqqXKU5d6c3uvY2Z6D3GoK2haCZnARqpfmj+fmTj2mqXLV7Oy4OdV7w5UbB5TUEIxi7t/PSYMf5lraVN/YXEkNPx0d3fsvQNckZ7N/hDPRfm0+c/gMA4K0t1IuC6UWoShhBW4MdW7+EoDijKWIpY7Yu9oY6zv8S72rdiuIkZ4ZCmNYSiwWKEXSkd/vHFvyraiVzXUTabWHG6usPtp33BUksxUkzEOFhnLR4WpfvuI1mXW3l3NRukrY14QTr1DVFQFGccfh7rjSASW4gCE6hOGXVVKlSK84fkcVKspFma+XsTWsBBFCs5ibqlfQww3m6LPbwaldo2c355OmnwBKSJAEAQJVrecriagvZQv+IICiRmz/1mCJWkryreTNPW8PmYAKD5j3dYau/n6D4IILiNATm3KHrmgJNgsxjkj265goO7IAQQR3+nt3NA1df5Qz0XoPhjF2R67lKdvr11PS+X9Sr6SGKsUccgb5rERRniunRF8VafhInWbc7vOJ9JGNraqw77n23c1Dken7q+B/+XtcUUWskvaIYOV4vJ49b3a1bZLGcmD7x1J0FUxUOeVfzJru3c7sq13PpmYP3aYpYcgb7d3D2pjUAACCLlWQpM/aSLJT/qN26sb+dbbyWlPSKYgQd7rrodostuDw5te9nqel9P8Nwxp6aPvBLVaqmIYqRNm/HttblO65oXb6jXVPEciE18kylENuPYiTniaz6oN3TuY2g+MDCGhYAAGyejm1WV8t5ZveGphAU7zcMXZWEYqycndxVLczuZ63+AcYaWDZ57PHPVotzhwnKGtR1RQSGoVGMPRpo3fRZjKBPvl3XxNnADg7eZBkY2KHVazm6ve2/xYnJVxvP/fSZv0dGmtZQkchaXVaE2rFjv9WFczd2Xgz+YgQPQVuDEMUpAACo5KffMM4wvaJYR9TbvO4Kh697O0QQPDt3/LeZ2OH/jvRu/4YZT33ogWJ67IU/t9q6VGiqWAYAGDjJ+XRNFWdOP/OP+flTj701eaXhwXJ64Vyaus30AqGSHp45/ew/Vwuzh/6cz4GgONWz4dbLIYKRYi03yTsjG+y+nisstuDyYnrspYkjj35crOWnMJy2QohiAAADgSjhCg3e5G/ZsOgx8zWvh2bfJTAAANBiD69ptQaXA2CmSilSJVXNzx6Q6sWZTOzg/RAA6Aj0Xk2yjpaGcd6f9BH+cinlzwAAIABJREFUNV53pGEIaAAACJoP2P3dl4vV7Fg+ceoJoZoZZXlfb8hyYRskINRUaWkED0byAEJU11XRYg+tsrpatzgCvddI9UIsnxj6AwAAeiIrb6FYV6vFHlqFYhRfzk7srOZj+xdbrdF1VSYo7l7WGhh0hQZuQBAU13VNTkzs/kFyau//xUmLx+HrucIZ7N8BgGFU8rP7K7np38pieZ6kbWHOEVlXK80f4xyR9ZTF1ZaeOXjfUjaEhmEYCIKeziVOPW6xh1cZhq5m544+mIkdfoC1BZa7QoM35eZP/s5MW9E0FCclQzdjHFlbcHlDwr0oczMIIEQR83oBwzAY3teLYiRXr2ZGytnJ16R6Ycbm6biI4X19AJgVGWC8M8EDIYSOQN8Aaw0uF6qZUUNXJX/Lhk84Ar1Xa6pUSU/vv7eQGn1OU6WaK7TsBggRTNdVibX6B1B0HeNv2bDYoQLu8Aq4UB1DUJzxt278jL9lw6cARBBDV+V6OXW6Xk6eFCqZkUo+tq9l2TXdKEZxlKmaWxTBAwxDN3TTiFxT5appLpo6hVMWr6dp5QdYW3CFUEkNCdXMCNsYJ4YzDVhB47n2TqgW44fzyaGnA6yrzebtvDQ1c+CXilhOZOPHHq6V5o+J9fykoakSw3t77d6u7YpUTZazkzstjqa1jMXdiVO8nyA5HwBgSR4VCwoeAMyNH8252nlXdKMrNHgzw/t6hXLqdGJyz48AgMAZ6LtW1zUJfZPgIS2N6NdzJnhM36F1t6E4ZdU1pY7htJ2gLN56KXkSIhhhVrEoXlHK8+X8zBupqb0/tXs7Lmas/gFFqqQSE7t/KNULZzXVPxtqpcTRcm5qlys0eBPWiAg1DMNgrcHlUr0YS03t+1l27sj/AxBBKdbZarGHVpqkAERYW3DQ4oisA3+SSLZ0KIqhAAAKjddfFAjEKAvj7SNw1otAlCAJPkDgrBcAQ0dR0qJqUpnEWS9JWEMAgPeM4KnnxbShGRofYCKzBzM7/5xkkKWAoPlgsP38L5KMPaLI1Uw+fvJ31eLcQYujaZ3V1Xp+tTh3KBc/8UgpPfaiqojlNz3sEOSFaj62j7K4O2yejottnvaLLPbwalWu58Vqdqycm9qtykJB1xQBIihuhhOgBIbTVtribrd7uy6lGEczgmK0eX+ob02Z+xPomir8j4kpRGzu1gsoxh5Jxw494A4NjoW6L1pmdTZvZnh/v+mngqC6psliLTfhja6+lXe1bAGGoStiJZFPnv5DcmrfT4Vqduyt1XYIIXT4e5eTrCNqGMBQ5VpWfQeVoc3bcTHDeXukWn4yOb3v5xhOWTlHZO1C2xqK4qxQzY4JlcyIv23TZx2+7sshgpEAGLrFEV5TKcT21cvJk+Y9ChGC5gO0xdNpdbdswXDapqlSdX581/cysUP3W+zh1TZP24Uk44hk544+lE+cerxqttEAm6f9gpZlV//A6m67ECct94C3LPLfCt7ZstkbWfNhBCNYoZI6nY2feEQWSnPOYP/1JGOPFFOjz2fjxx6uFuYOGboqnaHy/CFOsh6a9/Z4mlZ+wObtvIRiHa1SvTBVyU/vUaRqRlXEYmMuwCGCEgiKURjBOCz28Bqac3eYLRrokhKTIERQCCFKUHwg2L7lDqGWG5fFcsIbXf1hnGDdnDOyDjef7wAYunZmge9d3xtBiYWWLkWqpiWhMAMBRHhP65Zw5wVfoTlPd3z01W+nYwfvpzlPlzu8/H2yVMsAYBieplW3MLyvl2Ts0UbrMdpQf8Ez72OMYJzQNOOlbJ6Obe6m5X/LO5s3Z+aO/AYjGIe/ddNnVKmWLaSGn9E0pca7mjeLhdi+9MyhXxVSw89gBONYUPUWUsPPZGKH71akahpBCcYVHvybYNt5n2d4Xy+AED3zuJwzuoFiHFGc5gMExQcapG0eJy3eSn5mr1jLTQTazvu8zdN+Ua0YP5qNH3t4+sSTdxiGrnqaVt7ia153G04wp5QlFAj+55pBBCIIhqCExde87qOKXM3m5k895mla+f6GN+hyymxPgwbQ1YbP46JBW9ydpmm3Uk/HDt0v1nPT/uYNH2u0QHZCBCORCmkRKqkhq7v1fE/TyltQnLYBAADvat5cK84fTUy+/kOhmh3XNbmOk5yHYh0tvLN5E2HhfRBBsHxm/JXJo7//JMU6W6zu1q0We3h1tTB3aG70lW+VMuMv66pSo1hna/Oyq+7hHJH1jFnkWxLBAxGMUKRaLj1z8H6pnp+yebsu9UZW30qxjmYDAKNWmj9WL6eHCMri5Z3NmyCC4gCYthfF9OgLslCOQwQlMIzicYp1U4yzhebcncH2LV8ItG36LERQTKzlp7Nzxx8upkdfrJUSxy224PKm7kvuolhHc3bu6IOJ8d3fU+R6nuV9vf7WjZ8GAMCFZE4UIx58tyJ+Y274o/M288EQDBiGIdWLs/nk6T+QNB/0Na+7naTtkczskd9Ui/HDnsjKv3MG+nfgpMWD4rQdAAAUqZoyPXjeG0AIodXdus4VGry5Xk6dnh/f9d0F30qStvo9kVW3OPy9V5OMPVrMjL04P77rnnJ26jUEQUlXePn7/K0bP0UxjqimiuViZvxlRaqmWd7Xx/C+PoggGERximRs4YXjFVKjz08effTjuq6rdm/nxShGcvPjr30XAIg4/b1XQwTF3lSvQgitnvYLnf6+ayCE9y9WaKCk08NqqRiXYrF9wDDO2jTAdHdvJyOR9cAAujg29jI4i5fte4W/GMGDkxYvgqCEKgtFsVaYakQ8qwAAo6nnkk+5QoM3F5PDT6diB39VLyVOuEKDN3HO5k1CNTOaix9/5H97kw8AAGaEtAF0Ta2nZw7+qpgceRYAAFGMZCGEiPnARlAEwSmC5gOcM7qxY9Xf7LDYw6sghDAdO/SrWml+Ue0a7wTa4monGXsUQgh9zes+BhEUl4RSfG50593l7MROw9DVhcm5EbmIWBxNay320CrDMM5YJBkANEzqDUNTEAQjoekboUKIoGcynyYgClEE1XVNFirpIaGSHlYVoUgw1jCKkZZiZuwlm7djG0HxvkZV5k8Inr/G6w4RlDDrwnI1Mb7re4XUyLOKVE2jKMG6QgM3Bto2f46grEEATK8mYBhLIHgICwQQoWhbU7T/irtxgnWpcj2vyvUsxdiaIIpTFntoFcN5uiFEUF1ThFJmYqd0Fm+ms0GRqtn42M7/oC3ONtYWWgGAmUYRbN/yRaur9Xya93YDAKBQyYw0jJT7w10X/RNGsm5FrCTnx3fd4wz27wCGrpVzU0uuEhmGrgrl9LBpDm3oDO/rax287scoTlkLyaGnMnNH/59h6CqKEQxnb1rdiDsEDO/tXQrBY1KP5oJUFiuJ2Onnvlotzh1W5XqeoHi/J7LqFl/z2o+iGMkDAICmydV3E/AgKE6ZahmCpVhna+vgjh+jOMnn4iceTccOPyAJxVkUJ3nOHu5y+HsHzGouTgXazvv7huqlcQBj4V8DGLraSBphGhOuAaHpd/NHpwNNGa4iVTOVwux+U0qqqwzv6y1NTr5WKyWO05y7o5HUtUgYumHomiSU4giKf3vBcNru7dyO4iRXzk7vloTCzEKVFQAAHP6+q6ulxDGwCILHMHSdczQ94g4N3sRa/cvs3s7tqel9P8vOHXuYYh3NrtDgTQ5/z5U4wbrLuand9XLyJERQ3GIPrwIQQoyg7Y0WqiUtGnRdVRYIHpJxRJu6L/6aVC/Gyrmp3Ynx3d9TpGrG5mm/iLWFViQm9/zIYguu8EbXfBiABQUP8o7mse8Gh7/3atbmX2aSNXt+KFazYyTraObs4TUk62zRFKEYH3v17mp+9oAslhM2b+cl/rbNn0Mx0lJIDj1Zzs+8cS4Se00VK/nk8FMOf981C6bYhqEr5ezkruTU3p9oilhyN638gMUeXs3yvn4EJWhdk+u6rikYTtut7pbzUZx8/s9NYvnfhKYrtUxh+A8YSnKqJpZzxfHnK7XEmXOrgSI4qy9xI/JuUOpqVdcMzdnMd2MESlVS9dnQcpe9NF+b1lVDBY2bHEKAQAQiGInSEIVoKV6f1hTtnFVMVlfLeZyjaa351hBQrLOFoG1hsZYbnzz6u09Ui/FDilR7U72CEYydczStCXdeuNbSaLXESNZVLydPzg698LVKIbZfrhdjZ9sMIgiKoThtI2lriHNG1jeixDsW81l1/X8UPGayMIpRFldHqPOCLzcqxppYy01K9cIMzbk7dFWTzMSS6EYUp+2yUJqbH9/1vXo5eaJanDsMAAQExflYq9+O4hRvbo4s3uaBq5fbvZ2XohjJG7omCbX85NnuH5xg7K3Ld2xHcdKq66rkCg7swAjGJZRTQ+Xc9O5aaf64WM2OifXCtM3TcbEnsvLvAERQsZabyM+ffKyQGnmmkfaYO3NRj+E0zzma1vtaN37S7mnf5gotu5F3RtZjOOOoFs3WUIsttBLBSAvFutrq5dSpcnZyVzZ+4lFXcOB61jToffZsY4nhFBfp3X4NydibADAVjpw9vNqwBVc2THpfFCqp0wtFRggRSLGOCOdoWhftv3w9aw0sW1BpFTNjL8ZHX/l2vZIekoXS3FsLk29eexSncIJxkqwj6vD3XOmNrPkITrLOxVx7AMz2YdhIWTJ9C0efLySHnlJloWB1t11AMvYmSSjNcfbwasMwNHMOXux7o8RC+o1p5IwSnsjKWxYUupXC7H6SsUfN1h5biLUGBxEUo1irWagwGpFMcr04W8pO7KyVEsdVuZbTNEXAMIrzNq+93WIPr27queQuT9OK9xOUNUjQ1pCmShXe2bypiswdzCdOPSHVizGHv+cqZ7D/utTU3p+mY4cfkIXSHOeMbgx3X/RVhvN0xYZe+Fp65sAvdU2VcYKx+1o2fNLfuvFTCIISpn/l+CtiLT9tGJpC0raw1dW6xWIPr8YIxgEhRGSxnJgf3/39QnL4aRQjWH/rxk9b7E2r07FDv8rGjz/S+B4WnMH+552B/h0Of+/V+cTQUxAijyx5HoEI+ua46qpczk69VkwNPyPW8pOsNbCcpG1hRYplLbbAcgAAML25FnvNMMLXsm4zZXG1Gboqcc7IBru3c7uua3Jqet9Pq4XZg0I1Ny5Ws2M4xfmivdu/gWIUp8q1bDE9+kJu/uTvq4W5g5JQnD2z6wFBMYLhvL3uphV/642uvY13RjdE+6/4D8riaqsV549I9WLMXG8su5EgOY9QTY9Ui/NHklN7f8JaA4O8q2ULAODlpQxTJnbogcTE699neN9ApPeyf+ddzZsNQ9fK+djeXPz4o1K9MG2xh9cwvKe7UTACqlzPx0de+WZqZv+9C+QLRFAUw0gep3h/Yx3yEd4Z3QAARIVqZjQdO3g/awsub2le9wOLPbQKJ1h3rTR/DMNpmzu8/H0YwThxkvPaPB0XN0hCyFj9AyRtC4Nz8GIybwtFMIB5X9Gss7Wp95J/M3RNTk3t/zmACBpo3fQZjGScqen999q9nRfbvB2XAAChmbK4+Hv43YCTFrevef1HCYrzz4+9+h2pXpiFEEIUI9lw14Wf8bdu+jSCYGR65sB9Uyef/KKmiGWKdbYGO7be6QoOXI+gGFXKTuxMTLz+w4ZPZZG2uNvdTStvsbrbtgrV9DCKEhbe2bwRxSmbaYXg6xUqqdPl3PQeoWrGxJO0vamUnXxVkWoZMyTD3kSxzjYMp23upuXvL2XHdwIzZORtgTKMjWhqWoPxfIDp7mrCnM5mXRRLhqrJmNPZQgQCDMowDoSirKjVGkQ5zktGoxv0ajUNKYoH4M9LF10M/pIePHYIEVyWy0neGVnv8HVfXsqMv6LrisDwvv75sdf+Mzd/4lF304oPOAN915kyXtaVjR99SBKKi+ozfK+hmn4tBoAQMry3N9R5wVcMAHQzltXQNVWuLSxsEIxg7Z6OS1hbcDk0zfimytmp3edizvRWMLy/HycYFwAAUKyztV5Jn66XEsdZ3tvLOyPrKYurnWIcLZoqlXVNqdfL6SFdk+vVYvywKtdyYIHZAYYBAYKoilCSxXLCFVp2A4Yzjkpu+nWLPbjK6mrdYhiGpsj1vKY0qnwoRlGss5W2uDoI2hoyq4DTeyBEcKurbStEUJIgOd/ZZLd/jdcdQgQDAEDD0FShmhlVxErK4mha429e/3HWHloJUZw2DF2BECU0TakvTcFDsABCBMFIiy4UZ+djh+7Pz596QlHqec7etMbu675cEStJBacdBG0NqIpYrhRmD7xTe9/bwTAMA0Lk6OzIy9+I9G7/d9ri7vBG19wKGlUsuV6MVUvxI6X02EuyVE25Av3X4ZTFWy3MHUpO7f0J74xupC2udlURS7VifFG+AW89Pu+Mzhu6KkEEI62uli2yWI5n4yd+p+ua5A6v/IBUL8wQNB8ItG3+3IJHCkHxAZxgXcD0+1gEIISIObHqmlyvV5KnNVWu2n1dl/qa13+cYh0tZhCIoQMA0Ya/wLtI5HHGYg+tAgAADCc5wNqjpczETl3XZFd42c0kZQ3SnKcbQXFKU+VavZIZRlGcEWrZcaGcPn1mOlOD3NEVqZpCMZL3RtfcWkyPv2wYmuoKLrsBJxinpsk1RapldU2uGrquErQ1iOGM3epqOU+R6/lqPravUojtN5MN7FEEwUhiCQSPYRi6oWsKQfE+f8uG9/ma196+YB6pyvU8w3u6OUfTWgTFaMMwdAgAVKRqppQeW7TMVqhkRorpsRc9kdW3epvXfkQSijGLLbTSFRy4AcUpXlPFslDNjBi6JpOMI2r3dl5C0HwQAFNNg+KLT7l787x0XdEbFWyIIFg+OfxUanr/L3RNrjGct9cVHrxZESvJ6ZNPfUmRKmmsUYFaOGbjPj8n4JTF3b3ug9dBiBKyWE0SNB9whZbdgBOsW6hmRgrJoSeFamYMRQnG6mnfxjujG1hbYBDFKKuuK4K5eXx7E+5FnLdmsYdOL2yYAQBArGbHS5nxl6zu1vNJ2haW6oUZuV6cpS3uzlJm6JViZvxlX/O6j7JWf7/N3XZBguS84G0I+XMeDxxiDAMtrAVyDANZAockhgEMwyGOYQBDEIhCCBrVcwAMHRjJlBafmlQXZfjc2MCc6X2TAH9SlUQQkuD8FGkNSnIluZTn8tlA8YTDEeE6cAplHFGus5IW4ps+0XsXRCGaHi4elWtqhbYRTgRDcE+nbVCqKWUAAHjurkO3AQAmz/W4VnfbBQvENYrTNoK2hvKJU48nJt/48VtT+QAAgOF9ve0rbrwXJWg7gmCkIpaTyYnXf5ic3v9zRSwn3i1KvPH/WQBAFkGwU6pcz4c6L/gKguCUob9zqqF+hsmypso1sZabFGv5KVksz6tyPQfNFqgtEEGw7Nzx38pSOemNrP4QRrBuWSzPz42+8q30zMH7cIJxOvy9Vzn9vVczVl+/pkhlSSjEGuEIKkHxAcPQVUNXJU2TawtpjG+FadbZuoxzRNZDiCAExfkQBCVzidOPN4j/AM15uoVqekSuF2cbBZtAITn0VHzs1e/UivHDC5HBb31vVRHKECLPi7XcOLri+p9anS3nKbQ1mJ45eJ9QzY7ZPB3bSNbRLInluCxVkkItO66Z3j+73KHBmxnO0wUhfO5slWAMp+28q3kzhBAxDMMgKGtAESup9EK75VufGRAirtCym4Id538JxUgOAgSpV5Kn4qM77y6kRp5RZaHwbkWyRqpeHAAQx3DqhKHrqiey6oOKVE2DRbQzIyjOoBjJaqpUiY+9+p309P5f4KTFwzki6yGCYBNHH/2Y1d1+kUnw6NpSPH4gguIoSjSICEVw+HuuCnde+GWzEFVOGI3EzWJ67AUMp+0M5+lBULOdSFPlmlTPTxVToy+kY4cfEGvZCV1TBcPQNbOVHEHr5eSppp5L7rJ62i/iHJF1hqFrYjU7WkgNP5uNH39EqhWmWZt/INp32TcBhEh8dOfd9XLypK6pIs17uqN9279hsYdXG7omoyhOG7qmoBjB+Fs2fiTQtunTslhOzo/vvqeQHHpKVcTym0QoguCp6QO/sHk7LvZF1nyYc0bW4wTr8jWvu71hlk4UM+OvjB168JZaMX5UU+UqRjB2XZNrtMU9JgmFmMUWWuFrXnt7KT36AliiihJBEBzDaZthaHJ27uiDs0MvfA1BcdriCK8hGUdk5uRTdxKMLdy67NofIihGacq7e1cuACdZp8PfezWCoDhAUNxiC64opsderJcSx1Gcttl93ZdxilCs5GbecIeXv49zRNbXy8mTc6M77y6mR55VZaH4doRVYy91BCfZGAAA+Fo2fNwZ6Lsmnzj1RLUQ289w3h7K4mqTaoUZXVelWjl1SlPEsqnCy09ZrIHBc0lY9Dav/ag3uvbDKEqwlXxsX3bu2G9rpcQxiz24Mtix9U7W6l+GoDi94LdTyc/szcwe/s2ZypqGfUUBAFCACDpSKyWOR/sv/7bN3Xahzd221WINLkfMQiEtC6V4qTT/Yq2UOKEqQgHFaTvJ2JsY3tevqVJZU8UyQVuDFONoxineD87FbNswdE0z70OStoWbei75Gu9s2VzJTb9u83Zsq5dTp1OxA7+EEMHc4RXvt9jDaxa8zwxdU9+rBFKIIKi/ecMNNk/HJZoqlavF+BHW6ut1+HvbOGdkgys4eJOha7JQL8ay8yceVWWhRHPu9mjvZd+0+7ovNwxNSccO/3d89JVviX9M+B9DMfKfUewVVtdUCSII5o2suTXYseUOkraGgu3nfX7i6KMfX/C5RDGSpRh71LQ8iR9KTu75UTE18pwrNHizv3XDJzhHdD3vat0CEfQ3Z/NxIvz+AeumTZ9WS8U5hGHsKMf5iEBggGrvuBBiKGlIUgViGKmk0yMIwziAAQytWJrV6vU8oqqioRtLao09F/zFCB4Up6ymESrvdzet/Lv46CvfqldSpzhndENu7vjDBgDA3Ii6Omrl5ElZLMVxgnFUC3MHl2r69l5BV+UaMICBIBhl83ZsU+V6vl5JD9fLyRNCOT0ki6V52KhWsbbAIIIRrKGrIkRxWhbK8cYE+WcBQgQJd2/raESRA4igGGv1D7BW/wAAZstJZvbog7n4id8pUjWlqVJV15S6pojlBWNCCBHETC9ydzr8PVcWEqefgChOYzh1m1TPT8fHdt7N2oLLFamWrhZmDwi13ISuKQJtcXfa/d2XU2YLFgkAhDjJup2Bvms8TSvej+K0FUIExynOdzZZ71/jdX9TRmumYXhc4cGbg23nfV4WK4nYqWf/SVOliq9l/cfsvu7LdU2pG4tU8EAIYde6WxgAIJSF0tzU8T98vpgZe4nl/X2hjq1f4p3RTZm5Yw/Njbz8jaaeS+5yBft3GIau6ufIlhuGriEI9gcIUSzad9m3SMYeUeV6PjHx+g9K2YmdmiKWbd7Oi4NNq27RNakyffKpO4upkWcRlGBCnVvvRFCcEvKxvYpcy57L8TVVripyPUvS1pABEAzFKKsz0HtNKTv5Wik9/pKuyTVP04r34wTrWljQIghKUOam9awJTm8DBACz2kdQvM8dXvl+T2T1h8oNVh8iKBHsOP8O3hndoGly7d1WrChG8TTn6TR/ghDDaZsz0HeNM9B3jWHoWq04fzQbP/awWMtPaopUUZV6HgAAhWp2bMFPBUExAkEJxhXsv97QNSWfHH7a37rxkwBANJ84/YdSZvxlQ9cVAAy9Vpw/JkuVpCm7jWxwBgd2QATBUISw6JoisrbgCs4Z3YhipMWsXqvSm5L3RcDcHHE+f+vGT5pteQBU8zN7S5mJVwxD15zB/h21UuJEOTv1mt3beQnnjGzQVKmqKosnIDRVqhZSI8+6QoN/w1oDg+0rb/xlrTh/NB07+Kt6OXXajLSUygzn7XEG+3dABCXMeFMERVGcQXFqyd4mhqHrLYPXCsDkrg2xmhlzBQeupzl3p6HrWj5x+olybnIXAACwtsCgxR5etfC3GMG6ltqKcCZ4R2Q9ZXG2Qwgha/X1M5ynW9dVsV5JD1ULc4cwgnY6fN0dKE7yqBn53IJiFL+QyKari0/eeztI9eKMUM2MUBZXu1ntIlirq3VrITXybCE5/LTN076Nsrja46OvfCsze+TXKEZynqaVHwAAAJJ1tjRaFieWelwMgyiKAYyzQGtLK9bZ0Yn1hcNo9N+/ybssFoTnrdDOcQhPUZDGCUBiGMAIApIAAICiAIUQIJoKFAgB8tyz0u8BAJ/4c8bhTKAIRtv55q0YRllT2eMPgsWqAN8BrJPy4hRKp0aKRx1RrjM7XjoJDGDYwmxrIVYd0zVDreXEBGUlnCiBkCSH21AM+RNl3pLOAyOYvk0f7QYAIrqm1DOxQw+kpvf/olZKHHtrEiaEEKI4bQ20broQI1k3hAimSJVkbOiFr2VmD//3uUS86rqqIAj6qFjLT6IYyYm1wvQ7/r6mCAutQtXC7IGZU898pV5OnWqky32Y5rzdpfTYi7n5k7+XhEIs2L7lCxDBSFkozc2NvPzvmdihByjW2RruvuirDl/35aosFLJzRx8spEaeq1dSpxSxmjYMXUcxgqY5TzdrDSyDEMXLmYmdbz9+JOcKLbsJpzhvOTf9ejE99qKuyXXWGhj0Rtd8GMUIi6Fris3Tvs0MXEfwfGLoiakTT3xBrOXf8VwBMDteAQAT7vDyn/GO6EZdUyVZrKYZ3tsr1fMzqZn991ZyM3s1VapCCCGCYLgj0EMiKEbRFndXowX8bdc2OGXxUqyzxTAMQxZKc4mJ13+QjR9/RKz9adIKRBCUYp0tvLN5E4bTNgAgUi3MHpg+8dQd5dzU7nNRB6qKWMYI+u5SZvwVVREKi/FhQ1CcRlHCoir1PIKghL9146cUuZ4vZSZ21suJ4xBAxB02nz2GoatLUYNABCUQ0+ja0DVVxAjGVkiPPl8rzh2uV9LDqlTPmgp2VwdOMK5ybvp1Z6D3KsPQtXzi1BPxsde+Uy8lTuj6nxa6YxZ4AAAgAElEQVRaGwTwQdYa+IeWZdd8n3c1nwcMs+1mfnz39ynGHmnqufhfeFfLedXC7IFqfu4Q72zeZPO0X5hPnH6Sc0TXM7x/ABiGUa+kR6rF+BEAEcTm6bjY37rx00IlMzp98qkvVQqz+9/Gn1JqvH5DMvZdoY7zv+SJrL6VZOxRCjqgUM2Oy0JxDkIE87Vs+DhBcT6CtoZKmfGX09MH7kuM7/5ey+B1P2I4bzdj7gVeXeyYAgAAhCiO4ZTN0DVF11TBG13zEcPQlXJuancufvJ3uqYIftvGT0EEwQ3DMDRVWnQCos3bdZnFFlopVLPjheTw01K9MEMytiZnaNlNJG0LNcJrdFdw4AYUIy1m2Mhjnynnpl9fzHdWkWo5hnP/1O7ruoyk7RGpXpolaVsYQQlmdujFfy1lxl+RRdMfBiIoiiAYBSCCEYytCac4L1hCm5Y7vOJ9uq7KlfzMvkJy+KlKfmYva/UPNHVv+xfONOeGUr0wg+G0Dac4n66rUiUf26e8gzdY47twnHdG/oVmXW0k62jBKc5rpnAd/k0pM/GKUMkMW+zBVZ7Img/xzshGVRbyxfTo87oq1zhndCNBWQMYwdhJxhY+F9LKALquq3J9ITBHqGXHZ04985VaMX6oXk4NGYYm886W8wLtmz9ndbddeGYxDCIo9uesnc4Eaw0s8zavvd30GhUKwY7zv7hAAityPZeZPfJr0xJcLIu13CSKkWzzwFV3OAK9V+uaKqVnDv5qdvjFu2Sx8id77UZC85vPWRQjf4TiJBdoO+8LnDOywd+y8ZOxoee/xvA+T1P3tg/hpMWVjR97RBYrKUeg9xqnv+8ajGRdC8p7d3jF3xaSw8+As1gj6IpSl+ZmDwIAoaGoAu7xdGmValrJZMcNTZMNUSwjLOOEOM7oklTR60IBoAgGMZxSkqnTen3prZZLxV+E4IEQQVqX77AAAJF6OXV6+uRTd1QLswcIig8QFB+0ezsvRVCMrBUTxxKTe36EojgT7bv826oqVRSxnHiv4myXigWzOU2VqrHTz/9LIXn6DxjBulzhwZudoYEbMZyyykI5XsnP7J0fe+07JGOLtCy79r8QFKdVRSjoS5jIzgYUIywkY2uCEEEb42DouirpqlzVNbmuKmIZwyne5u24eKFyOzv84r+qsjnZYgRNOXzdmx2BvuswgrYBAAyhkhnVVLkKAYKaUjvTVDA9c/A+krU3233dl5NmggRnJmTBRuIcShC0NSjVCzPJqX0/453Nm3hXdCOKkXzD++eP8Nd63RvVSAPFCDbUsfVOnLL4dE0Vc/N7HkUwgmWtgWUkbWuCACKaKtfBIivFEEEJBMFICCEU6/kpoZoZdfi6Lwt3bfs/jNXfL1QzoyiKM85g33W0xdn23pyLqiAo9hjvjKz3tWz4BILilCLXslZ32wU2d9tW06jxyG/KuZk99dL8cYigmDe65iONygCoV9JD50ow6ZoiKFItS9LWEDB0LTt39OHUzIFfSPVCjKCtQV907W26KtdnTj39D3Zf1+VWd9tWABGU4Txdiz+KKcEGAACc4v3R/iv/k+bcnUI5PVTKTr5GUJyf5n09Cz43mirX3i3+l2RsYRQl2De/f4auaZpS01WppmmKoCpikeF8vVZXyxac4n2Jidd/WEicfhIC0xSSYh3NwbYtO1h7cAWKEpZaKXGMruXGMZy2a6pYNsksTcnMHv71/6fuO8PsuAqzzznTZ+7c3u+2u321q1WzqmW5W64C40ZPIEAC5gMSIKGk8CUBQiAxCRDIF8CETijGNmAbd1susqxeV9pe7u7tdfrMOd+PudfYIKNdSYSH93n0Q9LuPffO3Jk55z1v4aVgWvTGR4KJVTdRDO9lOE+Uojmvq8CCkGalEIQUXStNP6vVssfj3Vvf3QwZXD4hQrCDaM5jGY3cwuknPmcZSoFCNMcK/nYAIVw49eRnTaOeFeXooKuqgYgT/e0UvfwxCMFY9MaOaY3cSY+/bb2p1RaaC72jNCv4JV9yXaRj/Yc9gfaNhlKaWjj1+GcalcxBOdixJdV36YdaFroVgxACACGIYvh497b30IzgL2aO/rSYOfoTAACIdm7842B88AbRGx95eZMWJ/jaWvamlQIhim4fvGoDw4hBQrCjVBcP5WZe/GatOPW0baoljG0DQopp2kxWBxOrdhEx0EmIY0FIc9ixddOorygL4NfRzFQZB4Q4AEK6kjv9yNLkc1/mPeG+aOdFf+SYWnXm2AMftYxGzhvq2h5MDO9qWW4QRHTT/nPvcsejaUglU1Tnm98iXr9pC7uju5sa8AdQiKEBQzOQ4TjI737aeJgXoMDxQICIoHicTp0as492dqHeRx427uvooHra2qmue36sfWvHpdxOnw8Gzj7yCgARxTJShKLO/Dw6FyAaMrlT1cOCnw0WJ2rH5ZjQRjGQzZ6sHKA5Soit8m1QS0Zer5nF2pI667EFu31DeEdTrXROYAVfG8UKAQghrBWnn50be+xThlp+hZoVIZphBW8yEF+12h/tu9obTl+CEMXYll7NjD/9+XMld1poKnrOqJD5dRCC8cCmNysAAEIxnJdmxVDHqmv+rzeU3tEoz+2dOPCjd6n17AnHMhqcGOigWTFYWjx2X2Hu4PeqhYkneCmY7hq58bPecPeOenl2z/zJRz/VCmh++ThNi9F+COEBACF6NVWrHOzcHEoM76oVp56ZOnTv+91wUk/M0htZTgx0tDInvMGubYmebXcaamVu4fQTn1sOufNyNCrz+029tsiJ/vZk7/b35Wb3fbNWmHyaojlJDnZu8QTaSv7YQMTjT20IJodfQzNCQJCjAzQrBMCrEDy8FO5xbfO2kZ8/8L3MxO4vNBU2L4GiOYkTA53R9g2bfNG+q1rtO4Zampw78fAnaqWpZS2UXw3NMNFlqzcRxYgQUSzDSuFQcuS1i5PPfaVenH4GQkQFogM7WdHf7g2nLwHAnbyuxN4BIcVSbokCcWyzsTi++wsQIYqiWI8/NrAz1HvpX+hKYTw/f/D7teLMczTnCQNCbjL12mJu5sW7l5N/qdaWjs2PPfrpbuHmNl4KdQfiQzfwnnA/y8lRmpMi2DEVlvcmBDky2CjPv2jqtQzNikFvuGu7ZTSylfz4Y0uTz35JqS4e5gRfe7L3kg84jqnMHHvgY/XS7J6znQtDLc+xvPwPtqWVEz3b30czvI8TA52pvks/qNTcCnuCseUNdV2MbVPJTu35r2phardaWzwqehMjHteCvyKCB1E032x14gLxwRtys/u+Wc6e+iXBlu4Npy9heW8yEB+6ASGaw9gxl9M+CwAAvBjs7LvojrfYllaePvKzD1Xz448jiuElX3IdJwY6dKU4UVw4+hMIIWofvOpvEMVKS1PPfWWldmWtURzXarkTgic6EEtvfkd56cTPC3MHf0AItuVg+yY52LEIEc3Fuzav9sf6rxa9sVW2oRYET2QArIDgMbVqZvLIfX9u6fVFwRMZaB+65hO+cPcOgh2rVph8QqkuHha9sWFfpPcKAAAgjm1o9fyyFDWN8vyLhYVDP0z2XfpB7FhaZvypu3LTe+9uZjG+N9a16e0UzfuaTowCL4V6eCnUw4n+jlachksY0xwA4KxZaa+Aq+BpAAAAxrZRzBz9SXZ6z1chpGjRGxuOdmx4ayi5+nUUw3ktvb5IM0KgVWaCEMWhFYZunwk0K/q7Rq7/U1GODmHHVBqVhf1qdekoxpYu+hKrfeH0DpoRAxBRDCGOjYljabWlY4H4wHUAAFBaPH7f/KnHP3MmcudMcGxD4aXg17yhru3ecM+lkfb1b4KIYuVg51aCHbOwcOh/gvFVN8qhrm0MK4YtUy1U8+OPNsrz+xI9F7/X40+t94a6LgYA/PSMh9S2TeBgm+/u3uEojTxiWQkbRsNRlSIlSWGCIIVEKQQAIYjjZMhyEiAYY12vaceP3f+/0ar1uyF4EGIQRfMQQljOnvyFVsueiKe3vjsQH7iWYMcqZo7eU8md+qWulGd5T6i7Z83rviT6kqO6UpywreUzx78rEOxYWiN3kgAIYl2b3xFpX/sGiGi2XprZ02yvmBfk6FAwMfwamhWDALg7IY5zfru0ALjWL5aT44QQ3CjN7ilnTz5gmWrJMupZRLGCP9p/jS+cvqRamHpaqWQOQoToZM/2/8Nwnlgxc+QnulqeEeToYCU79qBazx6naE7yRfuuZjk5tjj5zBcb5fl9nkDbhkjb2tf7YwPXIYrhG+W5F7R6boxieC+iWZFmxRBoMrjEsQ1Tqy3SrBiACNHuxopRI+Q3ZWt/qOfdMho5QACBCDEMJ0WJ45gAABiIr7pRqcwfcBxToVkxCBGkVqLgQYjhW8y3Y5sNyZ9al1594+c4Mdhlm2rJNpSCK8f3t3FioOtCfR7s2Gasa9MhbJsqzQr+7tFdnwcQUYZamjb0akbyJdcotaUjhGDbG+y5tG3gyo+znCdKCMFaPTfmOOe2UMDY0poWQYCxYxYzR3+i1XNjkY4Nb46nN79LqS4dGT/w43cp1cWjHat2BrzNhgpeWj65RTC2LVPJA+DuJDKsGMK2pdKsEAjEBq5VKpmD2LG0lsWxqcr7rXDbtygGY1vPTe35qqFXFyy9vmjbRl2Uo4Ph1OjtNMMHasXp3Zah5CVfYjQQG7jWNrXy4uSzX/YEUuscW68tTTz7JdOoL3kC7ZvCqdHbbFMtje//8bsIcexEz8XvjbSvf5PkTYzqWnmmUZp9wWoUxgnBjlurzUqAAAQIwZapFG1Tq7CCL+XYpgIZRDvLaFR76RgRbNdL08+Wl47fH25b+4ZEz8XvFeXokFrPnVBrS0fcOtRmgkiz2pOiOQ8vBdNgGRk8LehKaUqpZA5IvuQayiV11sjBjk3+aP81vmjvFRTNydX8xOOLE898wbbctgCEaB5RNEczvP9cdqKaykIEAAAsJ8cXp577MsGOGU9v+VOaFQI0zfs8wY5NgBBcWjr5c8mXWMNLoR5W8KVQMzdipaBZKSz5U+shomi1njs5dejeD7R2HymGl+VA+yZfpPdyX6TnMormvEplYX9uZu/dsc6Nb3dtl1r51ewlywUhGMe7t55yHFOlEe+lWTGY7L/0wxTFStXCxBO2qRaDyZGbfeH0JYInMqA1iqeLi0fvDSdHb0E06/H42zY0w9fPukMve5H3tTcLN7/hTcI7I1GUePgh4965WXv6xpuE2/fttZ45fdo6vnUbd8X+fdZz1QouX3o5d22tSiqOA5yHH9Lv3XEZt1NRcOPee8zvDA4xoxwPeYQAMs0LW6EOAaQYRooQbJvns8B9ORCN6PYN4R1SmI8zPCVZeljVKmahOFU/aRuORhziRPt9o9VFdQZb2EQUpCsLyqSlO+f87Gd5b9xtigKgXpp+xjIaL+0YIkTRUqDtoraBK3bKoc6tpl5fKswf/IFp1Jc8/tS6WmFq99LU8ytqz7wQcGy9BgjGojexunf9rf8PO5Y2f+qJz+Rn972CaDLU8iwA4I9af+fFQEf74DWf8Ef7r67kxx+bPHTPe3+9uvvX0STez/jMRYhmetff+iaG80TrM3u/ASBC8e4tf+aP9l9NsGNlTj91Vzl78gGCHUvyuipoQrDNe8J9kfa1nSv5zP5ofwgAgiFEFMvLiVjXpnfGujb+Cc0IPoRoXm3kx9Tq4mGlsnCgmp94QpRjqzgpmG42IM6f6TU50d8BAYS2Yyq1wuSTLyd3aFbw+cLdOzpHrr9alKPDjfLcC7mZF76GKEYIxAauzU7vvbuSO/XISu3c5wMIEYp2bpAghBBj7GiNwmlRjg411RmybaklN+w22A0AAARbBj6L5e/lQIhi3Kp67Di2oRDiWP5w31XRzo1vQxTN5+cOfKeSHXuIolmPHGjf6AuldxAASKM8/2K14Ko3zwZX6Uw9lhl/+l87h6/9FM0IPo8/tZZgx67mJx4vZ0/+olqYfIoQbAfjq26KpTe/k2GlcCV36qGFU098tl6aeY6iWYmmOZ8/NrBTDnVtzU2/8PVGdeHAcu9Dpl7P0azwr6IcHwkmV+2CEFG6UpqcPf7Q3ymVzH5/tO9qmuH9+bmD38PYsRlWrOhKecoT6Ngk+hKjFM0Kr5axdMbjSrMSABACArCpVecpmpU6hq7+O5b3JmxLq9imWha9sWEAEU2w2XAc66yv7X4XNl7lCbRf1CjP7dUahdPBxKqbAolVN7G8N1HKHL0nP3fw+6ZeWwolV9/cTIKxKYb3h1Orb420r13u2wfhtlHQcjXQDO/3R/t3+iI9VyDk5kkZenWhUV7Yp9VzJ6u50495/Kn1FCME+BXOq21LqxhKedoTaN+YXn3j5wAApLR49N56aW4PLwXTodTo7eJLam83sXW5ZBjGji16Y98MJoZ38VIwzXByzHEsXfTGukOp0VsQxXq0RuGUoVVmHUurCjQnt2yYhBAMIUSiNzYEEbVigoc0I0aafyMEO6Yox4ZCydWvC7eveyPN8P5acXq3Wl080qykv7r1uxDRLGoW55wPfOH0jnDbmtsBhJShVecto5EPJIZuJATbltHIUYwQ4KRAF8aOUV468fNq7vQj8fSWP2M5Oa7WsscXTj3+GUNdWYyHrpRm4ukt3/P42y+iWSEQT295FwAA2JZW7Vx13ScBIECpZg4uTjz7xeLisXvV2tJx0RtfFevc+DaaEfyh1OgtFM0+dKZrzS6Xp/XZ2T3m0uJRYXDoOmNufh8TCqaxqpacen0JIIqxi8UJSFGsAwDAul4zlxaPGlPTzzi/4/asFn5HCh6KhtBNFxe9idXp0dd8nhW8yfzc/m/XSzPPu5kveoUXAx2dIzd80hftvdLd5cb2SisbLyxIK5XYcWyzHoj2XSP54qubrQqQolgx0r7+zTQrBhhOjCCKfcmHaZtaCV8IggfRLMVwsmMbjdzcvm8tTT7//0RvdDDWtfkdHn9qg6k3lqaP/uKjhGAr0rH+LR5/ar1jmY3y0vH7G+X5fYZWnVOri4cRxfCR9nVvknyptfXSzPOlzLF7DbU0JcjRQQAIKWSO/ARRjOCPDVwneMIDnOjvaFooaEOrzNQKU7stvZYJJVffSjGCj6I5b6M8t1f0xkfU2tKxM+3K/KGed9tUS45jqhAjyk3kn3gcAAhtUylCRLGxrs1/gihGwNhtFyBgeQ9xRNFcK2WfOJbOcp5oaenEz5VK5oBSzRxyLK0iyLGhRPe2O1t+1wsFrZE/7TimQgPBDxFFY+xYgABsm1opN/3C1w2tOh/tuOityd5L/px5iaTUKoZanj7XCSN2LM22NFd22MyxCqdGb/NF+64szB/6n/zc/m8T7FjB+ND1yb4dF7vfFYjcqkOKfjWv68tBCMbBxKoCdmzDNOqLU0d+9iFDLU27xI9aZFgxkOy79EMAQEAwtjG2XEvPbwHFCAEIIaVWM4fmTz/xz7aplkOp0VtinZv+hKJZqbh4/L56cfoZOdixxR/rv4aiWY9azR4tZo78xNAqM7panIAAIbctYccHLUMtVLKnftmozO8DAELJn1yr1rLH87P7vsX2X/5XDCuF5WDXVoItw83LsY1aYfKpcnbsITnYuUXwRPo50d/uTpryYy45k1028UIwdty6ZH9H28AVH2E4KWqbWgkAQBzLqFdypx/lBF8qlFx9C0UxAiGEAAgpUY4NAwB+vtxxsGPpie5tL4ZSo7fxYqCrc/i6TxGCbQghsg21qDeKE45tNDpW7fx7mpMigLgqOUSxokuYIga4svVlASGa6Vl/K+8uLhxzYfypf2mU5/Zygr/d0utZyZ9aKwc7tlZzpx8tLh67V6lkDrYNXPERXgx2UTQnN7OelpUB83IwnBSRfInRJun+vKFV5uRgx+b2wauuXLX1bVfynnAfzQgBpbKwv5I99RDFsLI/NnAtzUlhAAAw1NKMqdezKx3312Go5WnsWBpgeG8wPnSj1sif0pXSZCA6sNPNJsIWzUqhwsKRH2XGn7pLDrRvCiVX3wwhhAzvTbKCvw0A8BvWjxZoGlLDI8z6T37a++f9/fTww7807nv+OfPxfB5nCwUnuzDvTPcPMCMnjtuHajVSueQS7uqpafv000+av7z99cKfTI47J1NtVGcu5yx1dNDdq1czG5580nhQqZN6ezuVPnLYWokN86yAENEIUqzhKIUL1XZVmq6Pvfjt03cBCKBjYgPb2MYOsYhDHDc+nmCCiePmQEGK5ije0h1FLernfH4ZVoq4zxfHUmvZ46AZRt8KC24bvOqviWMb2ek9Xy0uHr+Ppjm5feDKjzm2qWRn9nx1JeTvhYJjGXVCiAMRxdqWXp0+fP8HK/nTj5wpgxBCBCmalXlPpK9z9Q0fDiaGbjQ0V3l8NnLnbOBEf4fojQ1DhOhQcuS1gfjgtRBCOj9/8HuFuYPft02tTDNigGI4byu/ihV8benRXXed8QXd/DKTAEJcq8evvlcQQES1drUphucEX5K4bWBL5eLJByxTyVMUI9GcFMnP7v9WKDHyWlb0t1O0S96dCSzvTQIIkWPrda2eH0OIYiBEFCaO1TVyw9+GkqtvVmvZ4wunn/pcvTT9nC/ce7k3lL5YbxRO5ecOfHc5hO0FhbsxwAPgzpNdq5ZeWTj91L8YamkaQkRHuzb+sa+pqHNss342Be0rXh5RDKJZEQBCBDk60Lv+tq/6Ir2XA0JwvTy31xfu3hFKjtzMiYFOhpUiNCeFMLb04sLhH/268um3AWPHolnxu5IvMRrr3PQnECFaV8vTixPPfMHQq5lQYvg1weTIzbwUTJezpx7Kz+7/FsGOFUwM70r1X/aXEEC4OPXcl8Nta+4AAMBaaeY5vAxS5OWwTa3SNnDFHn+sfydEFFMrTu2GEFGdw9d+kpdCPYuTz3ypWhh/HAAAWmpfCCEUPOE+lvcmwQostwgxAgAAEkAIRBQDAaJys/u+pdVzxwnBTiA+eIM3nN4OAACOYyrLUalTNOuRg+2bKJqVBDk61Lv+tq9SDCc3SrMvTB/52Ye0ev4UomhO8IR7Iu3rRtzcGkSl+i774Jnz0gghGNsEOyaiaL4VYvzSeBQjgmYII8vLsaaVrF7OnX5YVwoTECKKE3xthfmDP5CL01tDqdHbVlZO0XJxENwoz+4Z2/vdNyKK4iRfcm2sc+PbRV9i1NQqc4uTz37JH+2/hpdCvRTNyfHure/2BNqWlMrCgbO5EAylNFVYOPTDtoErPhqI9u8UPJFvG2r59Mk937qNZoQAzfB+bzi93RfuvRxRNF+YP/j9enlub6p3x19I/tQ6wRMZQOgcyBZCsGObKiGEUBQntfVf/lFDq87ZplLMuRbTZxHNyaHUyOswttT5scc+3TZwxcdohvciRHPnujnWAs2K/v6Nb/hTiua9llHP6kpxQmvkT1ULk08KnnCfx59ab+q1hdLi8XsruVO/1BuFcW+4+9Jw29o7sGNruZm9d6u1paPnMnYld/oRXSlOSv7kmta/UTTnMdTKXH523zfL2bEHIaLYcGr1rcMXv2NL7/pbfRBRDICQkgPtG5v29t/YoMOaVgMAPAIAAN7t21NcW9sGKApBbWzsIWN+fh/A2CYYE0hRFAAAEufs65sLjd8RwQNfamgKJYZfUy1MPDk/9tinWF5ORjs3vs1QyzNqPXcikd76bkGODWn17HHBExmAENHInfT/XvBSVRrAjm2q5ez0C1/Lzrz4DQghQojhaZb3+2OD18XTW/5UqysnsWNpvkjPZQQ7lm0qxQvRAAUhYhDFio6t15TKwgGIKEYOpS8R5OhQMXP0HqW6eCiYWLUr3Lb29QwnRXSlNDl56J4766WZ5xjOE+NEf4cv3HMZJwW6IESUadSzFM15BE+4j6JZD8NJYUGODfFiME1zUsTUawuGUpouZ8ceLCwc+h9CsENRrGholTkIEbU4+ex/QETzNCsEvKH0xdgxFbWWPYbPoPL4Qz3v2LF022jkaVYMKJWF/Wote8J9kEb6UwOXf8QbSm8vLR691x/tvwo7tgHIMtPPIaLdqk43O6mwcPjHzrT+dUKIgyiaD6VGb412bHhLvTT7AqIYwRfpuexCfSZdKU22Mo1Mo5ErLhz+YWHu4A8alYUDghzp71i18++9oc5tSnXxCHYsVQ51brVNtWQZjXNeqGDHNmzTJXgQormOVTv/L0K0oCnFcYaTQpH29W8m2DZsS6/SrBgEzWNDMbyXYcUQAGBZYzu2UbdtreKYWlWpLOw3tGoGQoS8oa7tbQNXfIQVfG2FhUM/DKdGb8XO2XcP3Qk4RI1K5oBj6VVW8KX80b6rLaORW5o68mOG88TaBq/6aznQthEimluceOaLsyce+lsAIGQ5T4xmxVAwOfIagm3Ltow6xrbJCt6kiOMGIdhieW9C9MaGWd6bcGyjbuq1jFJZOJCfO/BdpZI5yHBSxDQaOWwbdYrmZFdZw8kc72sTPJEBU29k9UZhfLnngRBsY8fSbVuvLU0++2XHNuq6UprU6rmToje+Otqx4c2iP7lWbxTGm1ldgxAiij8Hm2CjMr/PsfQqzfBe29LKmdNP/quhVecIwTbNCEF/rP9qX6T3ClOrzJp6IycH2jdCCFEz9HhFrVYtyyMAABhKcbKacysyeSncG06tvoWiOVmtZ49hx9LCqTW3NRU0KQDd6BJO9HcAAJ5b6WekGN7H8N44AISI3vjq3vW3f83jT65DNOch2LEso77UqMy/aLpta7LkT67z+JJrWuSuqdUWlmvr/G2w9NpiKwCXAIKx4xi6WpquFSafgojmIu3r3pidev6/sjN7vy4HOjYnei95f8sKRzGczAm+30rwrN/AbPvbT3g/395Bpb/+VeWu73xb+89kErV/7K/lz/7sfu0HtRqpHNhvPb/jUm5nPucsHT9uHbr+Bv7WQl7L/ux+/QeXX8FePzWFT2/YyF+8tOjMV6ukfNFF7MX/9Mn6X91wk337+diYzgQIIc53/xoAACAASURBVGJoMayb1fkLEbAMAABGw6oDAJalBLhQoBjBjxDFWUYjixDNhdvWvsGxtEqjmjkYTI7crDeKE3MnH/kHimJEf6T38lBq9DZPsGNTozz3olLJnHVR8buAY+s1AggGBNvlxeP3N6oLB2iG97G8l2rZQSiakxnOE4t0rA8Inkh/uG3NHU2VICwsHP7xuYT5/zp4twwiBQAAghwdNNTybHnp5C+wbSqh1OitbpBmah3DiiECAGkRrY3y3F7LaCy98thhjB3HsEwlzwm+dn+k78paaeY5muG8gfjQja7ikGDb0qvYNhWMbYPhPFGGl+PBxPAuQ6vMNyoL+21DLfrCPZdSDO9DiOZbC/MznaemAhwaamWO94R7fdG+K5Xy/D6MbcMbSm8vLBz+YXZqz1dFb3QonFpza7J3+wcYTooW5g981/w9lFJAACBCbvOjoVXnp47+/MNabekYAQB4/G0bEt1b3xNKrX4dchfjTYv02YObX3p9iBiKYkQIKSaUHH6NY5uqUs0cbJTn92n13AkAAPCGurbLwY4trp0ZIrVenKyXZld8X7dNtSLI0bsET3TQG+7azvLeZKr/sr/kxEAny8sJABGyTaXgzv8pTgp2bg0mVu0ixDFzM/u+yYvBLsmXXGNq1Xmtnjt5LhtjulKcdAkNhg+n1tweaVv3hmp+/PHM6afuMvTqAi8G05IvySV6Ln6rx59cC4BLajbtx8smeH6lJDfq82OPfbq8dOIXBADMi4F0PL3lXdHOjW+jWTEEIYTYNpdVJEIxvK/ZEgcYzhOFiGZr+fEn1OrSETnYeXEoufoWyZdYzXtCvRg7lm2qJYohjlpbOqrV86deualLMMGObVt6BRBCwm1rbtMauTHLVEvBxPAuhhWDrSaoZrmMTtGch2aFoD/Sc4XlS6xRKgsHGtXMQcmfXMNJwTSEiGZ5TwxRNLeceSAA7tzJ3bBXi7wU6kmkt70nkBi6kaJ5L3YszVDLM75wz+W8GEgD4GYb8VKoB0I3u+hsr+84li4HO34RaVv3etGfXBNKrb5lceKZL0IAoC/Sc1mkfd0bBU9kwDaVYq04vRtRrBTr3Pg2wRPpA8BtxqXdgoql5XyeX30uQkLJYa1p8Ua2pVcWTj3+mWph6mmKZsRAfOh6byi9o5obf7S0ePxnnOhvS/Vf+iEAAICuReu8CJ5ArH+nHOjY5NhGPXP66bt0tTzjDXZu9cTbN1hGPZud3vu1Vo4YJ/jbIx0b3hrr2vQOmhVDulIcL2aO3nO24oBXg2U0ctX8+GMvJ3iUaubQwqknP0sIwYH44HU0K4XlQPtGQY4O1YpTu8vZkw8EYoPXcVKgSw50bIaIOvDbNqAbL7xwt7J///eIbRvEtnWCfyUCIM5v5HH9r+F3lcFDtSbvbg7EU/9KMbxfCrRtqJdmn7eMRtYf7bumXp7bu3D6yc8JcmSgc/j6T0NEsfBV2pn+N+De1IgrYLNNpbk7YgEAACf4fJH29W8OpUZvqRWndy9NPvMlOdi1zRfpuYwQx1pJQOlvhZsCSFM0L4vexOp6eW5vMXPkx2pt6Ygv1L0jPbrrLuFXldq6pdcXHdtoRDs3vi2cGr1daxROGWp5Rm8UTrWaLSy9npP8buAgohjB0Kpz5dzYQ7nZF/8bQAgdS69BRHNyoGMzzQp+RDEioliJ5eUYK/jaGFYKIZr1MKwYMrXaYnnp5ANnkoT/AZ9327b0KsUIPuzYGs3wcii5eme8Z9u7sW0qk4fufR8ABAQTw7ua1rRlTVhccgchAFzfK8GOibFjcYIvFUtvfqfkTaxenNj9hXppdk8r5Nddi54/2eVYWsXUaxlBjvTrjeLkzLEH/hoCCMNta++Ipze/sxX6TADBnauu/SQAADi2UbNfpVZ3OSDY1m1LKzcfdJAQjJXq4sFqfvzxemn2edvSqpI/tS6YWHUTw3mitqHkGd4TpShWYtyWn2URPNixNGxbKiHYxtg2WF6OJrq33hZuX/cGvVGcmB977FOCHBmMdm582ytrzM+MVqCc5I2PUAzvM9Ty9PzY458W5ehgpGP9W/yRvitpVgwBgu3WceWlcE+yd/v7aUYIKNXFQ5bRyOtKccLUqvOmVssQgp1YetM7JG98xLHMulJbOlrMHP0phPAr7iTF0lhejgfig9dTNCcjihFoVvCzvLeN5b1xiuF9TdVJKD9/8Aetye2yzgPBDsG2YWpGAwBwF6IYXvBE+pN9O/7C42/boNazx+dPPvpJCCGV6r/sw83WMdCqUV0JtEb+tGU0cpzobyfEseqV+b2xrk3vkAPtGxHFCLpSmpo/+egnlerCAU4Mdone+AjFcDJC7m7eSsaCiGIQRXEAuDlpzTrWnb5Iz+UQUYypVRfciR3FUgzrQYgRbEurAAIIgAi5+WIrA4QQBhPDIdScIEv+1Dq3qSN7rJI79XCjMr/fMhpZ7Ng6xXDecGr0VoriZNNoZBlOiiJEs02143kvwm1TK2OMLUIIWZx45ou5mRe/YVt6Ndy25o5AbPC6YubIT+ql2ecT3dvujLSvfyPDywnsmI1m643cWgifCdEYlfjs53wf7emlB//7bvULhw5aez/w555PPPqIfv/EuH0inab7ozEq8cxu49FCAWdvuEm4/Z8/U//oyGpm/XXX87f8/SdqHwiHUWx62hk3DaJ3dVG93/m29p/XXse9rq+fXnXqlH0MInBeNfW/CQggRAzGtr5c2+xKwQi0KAa4SDAtD3rCfIIQgOtZbb40VTupFI0sds6fWKIZzgsRzdIM9Cd7L/lAvTTzfGZi97+L3sSIpdeXyksnfy4H2jeFUqtvoVkxQLBjA4KdRmV+n6Wff7HDucCxzQYgBEMEqUBi1U1ysGMLxo6BHdsg2DYMrTqvK4Vx21RLFM15/NG+q3l30UXZplpulOb2/HrmzkoBIYSx9JZO2lXmAQAA5AR/ezy95V1uZo9jlbNjD5YWT9xvGY0chAAZWnUe22ZDq+fGXLUphBTDeRlWCgcSQzcqlYX9Sm3paPvAlR+zbb22OPH0v9mmVjb1RhY7lqo3ChO2pZVpTgp7g53b/LGBayCECLj13rLgCfeJcnSQ5eU4zUoRCCHkBF+qqdB9FYLH3UxqG7jy46XM0Z9aRiMfSq1+XXHh8I8alfkXox3r3+yPD14PMLabqgZSLUw+faFIzZUBgtamVatih2bFUKRj/ZvCqdHbIKI5rZ4fE+TIAEVzHscxzmqRfsWrI4pukUNaozC+cOqJz7oFEUY9EOu/JpQavdVQK7OZiWf+PZHe+m5W8CYNtTxzrt8lvVE4PXXkvg92j77mLjnUuc0b6roYY1tvVDIHKrlTD7vEEQGB2MBO0Rsbrpemn83N7vumVi+c6ll383/QjBBolGb3GFpl9lzGN7XqvJvVBhEr+FKWXlukOSkc79n2HsfSq2ote1zyJ9eG29be0XoGMZwcY3k5/mqk4ZnwymctIRDRXDg5vCvWtfkdNCuGtUb+tChHEcUIAccxleXcT2lG8AlSuNd9fQhphvMGE8M3BZPDuwAAQKlkDpazJx8oZo7dCyCAll7POrZR19XSlKlV5wEhGFGMSLOC3xPo2MSwYqiwcOTHwcTQjQAAWFo8fn9+7sB39EZxgpeCXVqjcNrUqxlEMYLkS64NxoeuB0AMQYRoRLEiK/hSAd4bp9vW3uHmmELIcHK0GXK+PIIHOybNCIFw2+jt8fS2dwtyZADbpqI18mOWUc/Kwc4tAABo6vVFmhWDiKJ5pbKwX6ksnDX7qQWlunioXpp5PiIFe+LdW9/dbC3uoxkhoNVzY6XF4/cbankWO6YiyLGhYGLo+lYeDkSIbiqDV9ykhbFjYmwbiGIEpZo56Dimkuq/9EM0IwQcSytnmio8RLOiu8ZstjrSrHQupRgtMKwY7F772ptoVgxix1TD7WtfT9GcF1E0n5t58Ru6UpxgBW8q1XfphxlOjgpyuF/wRAda7Xi2qRZNvb4iQusVn9uxtHpp9nns2DqiaN6xTcVty0uuNdTyjFbPn/KG5TjGljF7/MG/KSwc+ZE31LnNH+m9kqJFyRftvTI/f/D7wG2dBJBhOEoQApBlJaxpZUdRSpCmOToQ6EA87wMQQK6zQyOWrRPLUonjWIhlRcTzfsixEqQZHkKItPHxx7GuL7ut7lzwu2nRghAC4LbkVPLjjzVKM89TDO8FBDuGVp1X67kTWi17kuHlKC+Fer3Brospyq2TbnnRfy9oMcqEOK1aOIgoSvTGRrpW3/iXojc+kp3e89X83IHv2qZaYjg3mJYQ7GDn3IJpzwAIAGw2Q4zeRrBtclIoHYgNXCd6Y6sQxUpKNXPA1KoZQ63MWkZ9Kdy29vXhttHbbFMr6UpxwrH0OkQ0L/kSa+RgxxZEMQLNiAGKZiWIaFbwhPsFT7jfMhp5Q63MyMGOLZI/ta55DiB2bAM7RsOxTQXbpmJZalGtZ08olczBemn6Wa1eOHXmd/6Hed4hRDRFcx6IKNYb6bks2rXx7R5/+8ZK7tQvczMvfpNmeV/n8PWfYlhPhBDigBU8VFvtKhjbBoAQSf7kaNfqmz4qeML9hfmD36MYwRdpX/9GwRPud38J0a5E+fxACHZ0pTDui/RcRjO8l+W9iVjX5ndEOza81dRrmUru1MOimyWz86WGNkuvvWSxOgdg7Njtg1fVmhXlMHP6qX/JTu/9OgHY8YbSO9oHr/obyZ9cY5taOTu1578cW692jtzwz60sneWO40pGaZ5iODmYWHWTL9J3FS8GOvOz+79TWjx2r+CNDSW6L74TIYohgDhnX1tDCCAEkj+5Ltqx4S2WoRS84e4d/kjvFQwnRW1Lr1TzE49bem1RV8sziGKEzuFr/1EOdmwtzB/+oalXMwBAwAm+NkEK9yKKERHNiizniQNI0TQnhnyR7su8oc5taj13kmZ4ry/Se2XLmuaKMUyldb05tlEztMqsVs+drJdm9zTKc3tXtntBsGuVQoiXAulkz8U3Rzov+iOW88Qa5fkXOTHQ2T7YfSnDyTGK4bygOVc/lyYg7Ni6qdcWAXCVCLwU6pEDHZtdyW09w/KOEUgM3RhuW3sHJ/ra6OZ5diXYKxsPvUzBI8ixVenVN34O0ZwH20bdUCtzhlqZVetLxwjGVjAx/Jpq/vSjSmXhQNforn+lad7LicH0Sj+fazx1J1eEYEet504sju/+9/LSiV/Ytl5lOU9U9LrXkehLjDqWXs3PH/yeY+m19sErP444T6Q5UTlv9YqbZeFa+kqZY/c6tl5r67/srzwB917FiYGORPe297gqCQjLiyd+1qjMvRjv3vZuhpXCLw+dfjkQgvDW24RrO9NU34H91vMMA1hFIQ2aAcyatewm2Yv8FIUbV1/N7erqonoLBZwLR1DsrX8k3hkIonB3mur/27/zft5xgLN+A7M1GESRUBhFb71N+CO/H4be/V7po7UqKc/POzPnewx+DZCiWJFq2g8u5AtTDGIifb7VG97Ye03HpuiVkILI1my1PNs4nRwNbjXq0cqpRxZ+jGh0ANvnt9BuPnsYx9Rr5ezYg4uTz3zRsfQqw3kilqkW2wau+DgABNdLs89X8xNPxLo2v0P0xocNpTTlOMvP4biQwNjSm/d5AAFErr23MmNolTlDLc/g5kJJkGOrOMGXsvTGkqnXlzjBl7ItvWJeiMZRRHOc4G9/eeMLAITYll51bL1CCME0I/j90d6rGM4TI9gxJg/f+/5aYeoZAACgKFbwhru2u7kQiIaQYgjGFoCI4sRg2lBKU64qVS0XM0fvEb2xYU+gbQMr+NoAIZhiBD9oZq5ACBHLyzGaFYO14tRutZY9Fkys2kXRrIRoTgavol5rKewso5HLTu/5anHh8I8QxYq6Upz0R11CwzIa2fzsvm/qSmmqa+T6Tzu2XjfU8uzvqZQCti41RDGi5Euu9YbTl/ij/dfkZvbenZ87+D2a5X3tg1f9TTAxvMstbFiBRQtSDEIMT7BtFOcP/TA/d+C7ki+xunPVtf/gi/RcXs1PPFFaPPpTVvC3tRQgTTLinI5Fs3V2/8yxBz7eu+G2rwlSuFepZA5OHbnvLyia9/oiPZeL3viIbarF+ZOP/mO1MPmUbSpFX6T3CjfTiWBdKU7axrk1j5pGPdss+QCtjBrbVEulxeP3NSrz+7yh9CX+SO+VhlqeoWhWYnlvEkHkqkZchehvWCLPDNh8xiNGkGOrRG9iNNp50R9X8xOPLU7sfj8hBCd6tt0Z69z4NuxYyyoSYQVf2yutOxA6jqE029hMAAjxBNo3+WMDOxlWCmfGn7orM777C833gURvfCTcNno7LwbThBDHNGqLbmNwcq1lNLK2pVcJwbiaP/2IZSbXiN74sC/Sc3nTUSG4ZCfBAECKZjiZ8sZHdKU4Uc6OPRhKjtzMcJ4YohjxlfeH3w6MHSuYHH5NtH39mzG2tOLC4R+qtaVjltHI8Z5In1bPn6zkxh+DENGdwzv/gRODaUS7a5hlj+FYRrRj/cPB5MhrOcHf7gt375g/9fg/V/Pjj9mWVkYUK0m+xJpQavXrvMHObYZamWuUFw4wvCfKi8H0SubKL0fT/mZBihE9/tR60RsbBoDgpcnnvlwrTj/LcJ5oLL35nYHY4HWSP7W+teFH0byXPscxAQCAFbwJOdC5BUKIAAHE0uvZfP7A97Ra9rhazx7DtqlCRDGcGOjyBDs2MZwUbQotiEtiYmcl95Df+NwEYznYPmlolXnBE+4FgOB6ee6FcnbsQckbHwklR15nW1pl5ugDHzH1akaQI4P+aP81re+2J9B+EeOSagUAABD6+q7ybFj/RoAQpZ06/SikqW/IW7a8ke/pvYxYpgppmgOEYCRKIadSmQMQIIAQRUlSGBtmAytKgfb72s2lpaMAgD9Agsdd6kNCsK3Vsyckf3JNrGvzOxGi+ezMC1/zMh0+yd+2nuGkMM2IIdEXH0E0I0JMsa32m98Hmg8MQgh2AAEEUTQbSgzf1DZ45ccpmvNkxp+6q5qffBIAlzn3RXos9/eIs1L/7W95Ew7BLqPvj/Zf7Y/+KuyqhUZp9gXb1muiHBsKJlbdxLrSe8DyvmTn8HWfAoAQQAAhwG2cAQSQZv0Mdm2ulu6YesW21DInBjttUymVMkfvsQylYJlK3jbVsm1pZdtUipah5C2jkVtmiOMf5HmHiGJoVgzRjBBIj9zwWa2RH8tMPPMFtZo5HEqO3BxuW3Ob5EuubVqK4HLvNBAiqmVDcv3bq26Md2+7kxcDnfXS7PO0KzvFrOBva9onAESQai0ozweEEKw1CqcBAIDl5UR6dNdd3lB6O6JonhDHinRseGujPPeCpdezAEDQ8jO3LFbnCsfWay0PtaHVMohmpUTPtveG29beQdO8v5offzQzsfsLtcLUU3KwY5NjaRVE0RzlNr4tC4hmJYrmvQwnx3rX3/Zf1fzEU5nxpz9vmWoxnt76Z6G20dt4KdTjHoizvx7GtgEIIRTNedzr55WwjHq2Vpx8iuV9yUBs4Bo384HmAQAk1rXp7e5PNRM6AHjlNUdcYbFjG3XH0soMLydsUy01ynN7bVMtWEajYJlqoXnNlSxDKdhGI29ZaulcJN+tAQkhJJhYdX2qb8cHRV9y1FDLM/n5g9+naM7jC3dfitxw3idtQ8lFOta/BVGsiM6JZCXENtUiAC7xRgi2504+/Pcs70u+9CMQIoYVQ6HU6C2t3XZEMQIEcMUKnpbSj6JZ0bEJLswf+kFp8ei9eqM4DgAA0Y4Nb/WnhncVM0d+kjn99F2CHBloypIpXgp2rWTX81fjumNahlqcO/7Lv6vkTj8q+ZNrA7GBayV/ci1CNFcrzjw7d/KRf1BrS0cpmpM7h6/7FMW432maFYIvz/I4VzR3YaGhlmcIcay2gav+OtK29vWGVpmTQ13bKIqVODHQRQi2CwuHf7ww9vg/UQzvC6fW3MbycuLV7iseD/Ru2cpeVq2Q0n/frXyhK033rVvPbD6w33r+uuv5WzZuYi6xbWDxPBRWr2Y22A5xGg1Si0ZRol4ntRf2mE/XG6SqKKSha0Tdu9fabVvEwhg4FAVoWYZenw8FnnzceODP33e+R+FXIIRgjG29tdN4oQARRP1XpHalt8evozlK0KtmsbakzvFeNsCIjKe+qMxWF9WZtvXhS4yGVQXnkOv00lgQoY7ha3kIIarmJx7PjD91F8N5otGODW/1RXqvxI6lum1NU09bRiMX797yp/5Y/zWu6vT87tXnA0IIdu9w2M7O7L07M/70XQznibYNXP7RSPu6NyLECEpt8bC7C7//24hihP6LXv9N0AyOvxC5QYiiOVZotj/Wlo7l5w58xzKUgmU08o5t1CVfYjTRffGdBGDHUMozulqa8obSl6RHd71OqWYOCd7IEcETHajmJ5/S1dIEAAD6wt2XBmNDNxQXDv+oUV04wHJyPNq58W3BxNANnBjoVGvZY7XC1G4IES364iOEEIcQjAnGFgEYa/X8SaW8sA9j28COpSKKEW1DKbjPg197/4hiVl96JwchhEtTz/9nKXP0px5/24ZgcuRmOdixSa0uHp4fe/ST9dLcCxBRbNfI9f/Ee8L9pl5fxI79eyH2CCDYcUwVEEIY3hPrWLXz7xlejhtKcRJRrJjs3f5+VvClRG9iNQBNpdcKyBdE0QJEiHYsUzWN+qIc7NzSNXL9ZzyB9osItg3Jl1zTseraf0QUI9CcdEHmjIRgQrPCkVpx5hnBE+nj5Uh/x6pr/5GXQmnbVMulpeP3O5ZRUxu5k5bRyHFSoDPevfXPIKJoxzYaWqNw6lztI9i2VMfSKkDwpRzLqGcmdn8hO/XCf9GsGIqlN7/TH+m5orR08he52Re/EU6N3proufh9ECLEeyL9zc2OZRE82HHt+hTNiomei++kKNaDsaU5ll6NdW16O8vLCdEbH4GQorFtKstRh3GCvw1ACG1LqyxNPv8VU6sumEY9a1tamWHFUKJn+/skX3JUrS0dM5TSNEVzcnr1jZ+1LLUoeqP3S/7kGlOtzlXzE487tlHz+FPrg4lVuwy1PJ2b3fctCBGV6Nn+vlBy5DUef9tFlqnkK0snH7RtvSZ4ogMsdmxACMbEdgAh2NTrS7Xi9DOGWpq2jEaO4TxRl2xafsg3dkylXpx+plGe28tyctwT7NgkBzu3WEY9q9bzY1o9N+bxJdb4on1XcmKgs6kSirGcHAcALFvFVSvNPGdq1YwgRwcNrTxbmDvwXUSxoj/Sd1UoNXKzN9xzmW0o+czE7n+rFaafMbXKXLht7R2dw9d96mWKxRUBQoiA+weKvsRoefHE/bm5fd9mWCnSPnjV37CCN8lLoW5eDHVbplJQa9njojc6hCiKZXk5jtwszxV9zyGEMJgc6eekQKfjWFp2Zu/d82OPfsoyGjkAEUVRrCT5k2v80f5r5GDHZpaXE2otd6JWnHnOG05vh5Bi1OriUXCeCl1Try8ZamVW8IR7bVOrQAhRsufi9zGcJ1LOjj1oatUFX7Tvam+oa5vojQ07tlHXGoVTohwdYlgxLMrRVQCAkwAAQAf87cRxLNxo5AHGDiAAAEywPjnxJMQEI9kTI45jIY73GHNz++hgsIsO+NudSmUOAAgpny8FeV5e6QbnueB3Q/AQQEhzgROID90QTq253W12mXmO4eSYWs8eLy4c/hFEFCP5kuvcthijQdG8lxV8KYRoBmP7fzc8DriLcPdJBBHN8N5w29rXJ/su+QAn+DswtvVU/+V/leq79EPlpbEHIULv84aaG8LuRHOZTPpZ3gPBduvh3apJJwTbjm00HEuvNj36d9iWVq3kTj9cKz77Hx1D1/wdxrZRL00/h21LxdjWbVMt2ZZWsS296lh6xbbUim1qZdvUytgxFYwdkxDHJhibBDsWIY6FsWMS7JjnnCX0B3reKYqVKJqTIYSQAERTNO/3R3quYDhPNBDt34kQzZcWj90biA/dgCiaW67SoWlZQwAAEIgN7OQEf1th/tAPaoXJpy2jkaUZMeANp3cInlCvZSg5mhUDLTXR+X8ql7ABAACK5mRRjq3SG4XTWiN/qpwde8jSG9lAfPA6b6T70mYqP3Ftied3/B1Lr2HXUy4EYv07Ix3r3uQNdm61TLWYnXnha7X85BMsJ0cjbWvu4OXIAEXzXoxtg3abRs4KCCEMpUZlN7APIkIAYAVfIhAfvM7U60vBxNCNjqmVK42TDwQTw7tc9cSZ5fEtuOSsy4w0jx3Gjq07ll7FjqWxvC+Z6N52p9Yoji9OPvvleHrzOz2Bjs1qbemorhQnAcGObekVl6TRm9ecVnFJUq3iWFqlFYJLsGNh93pzrzvXtndhw9eaD0MIIdWoLBwoLR6/H0JESf7UekSxYn7uwHfK2bGHLKORkwMdm8Jta18PKAB/Wxjoq48FsNXcjYeIYimKlfJzB77f+m+KZkVPoGOTv2fbnTQrhlrV4YhiBNC8NpYLCCm2lf9ACCHFhcM/mj76i78iBDu+SM9lsa7N7wKA4Jmjv/hItTD5JIQQsZwcb5GsDCuFm5XFpZWMi7Gtu2PaJs2K4e61N3+RlwJpXSlPFxeO/Fit5082v0PAH+m7Kt697T2SLzGKmhk8nBDoaAYjntczAtGsBCGilNrSEew4BsNJ0cLCoR/WS3N7GE6KhJIjN5t6fVGpzO/DttloG7zy4wAA4uYvQNQMufyN5jJ/AAW7e6iBWAwlfX4UIISQnl56KJWiOtvaqM5CAWd/+aBxz9iYdXRpEc8XizivaUS1LWLZNrAcB9i2TWzHAY6DgYMdgJt5dgRAAGkKMjQDGFUhF0TlCiFCLCNFaZrzTMw98tfYsTTHMS9Y0HB8VWB9/1WpWxYOFZ/1JsTOYKfcH+yQ+4oz9TFeZvyIRow/JaVL0/Wx1NrQxRSDph0Ln9N9E0JEIff+CwAA0B8buDbetfkdtqVVcjN7pN9UZQAAIABJREFUv17NTzxumWoRQYqNdKx/c7LnkvfTDO+zTKWI7fMvdTgPuPdKQkjTotnZNXLDZ/zR/qsRRXNqLXvcNpQCLwXTghwd9IW6tvMeN+TYVQfr590iAiHF0DTvI8SxKrnTjyycevJziGY93lB6e6R93Rt5KdRTzBy9p1qYeFIOdm4Np0ZvDcSHbjCU0rRSWTigN0oTeqM0SQh2/LH+q8Op0VuVauZwafHYfYpL1HoIR3Bx4fCPbFMpJHvduWAoOfxay1DyGNuGZdSz1cLkk9XCxBO+UHo7zQohmhWCtcLUU4ZWmUMUI2lKcfxM7UruXMK1zlAUKyV6tv+fYGLoRqW6eGj66M8/olaXjji2XmN4bzzVd+kHQ8mRmxGi2abC4vdSSkGwY4dTowU3fwlgQy3PGGp5BjuWhh1TrebHH2M4T1QOtG8CAADsmOryN8QgDCZWSa2BEKK5aMeGt9KM4KsVp3Yr5YV99fLMHgAAiHVtedfLrpvzBrZNRW/kTxFCMMOKIX+070pCMEYU6/GGuncU5g9+39SqC6zgSyV7LvmAP9Z/DQAugaXVcyfPdVxCHLv5/BzG2DYMtTLrCbZvbuu/4iMMJ4aWJp//SmH+4A8IINiJDVzbVOayvBjobBWaLAeWoRQIcSxIEGUZjbxqNI65li9CqvmJJwjBdueqaz8JIKQcx9J+lUf66qAZIQABgGpt6Whm4ul/t02tLPmTa0KJ4dd6Ah2bdKU4sTi++99oVgxFOy/6Y28ovd22tFKxaUMsZY7+FAAAODGYjndvfbdjG/VqfuIJpZo54NhGQ/TGV9eLU09ben2xbeCKj7GCL+mPD15nm1rZsfWqY5uNWnF6dzMzpkPyJdcgihGwY+tKJXOQl0K9eqM44Tjmsu172LFUpbp4WPIl16b6L/uwS3pBZGiVOV4K9RhaZa5FIgNCMICAYjlPtLnJvmyCxzaUQr00+5wgRwclX3JN74bbv8aLwTTvCfXSrBjA2LGUSuagIMcGRTk2BAAA7sYixTHnSvAgikEUzRFCSL0081x25oW7m6U7uFFZ2C8RbDGcHMvPH/hefnb/dxhejnWN3PDPragO6CqRV/QMh5CivcGubRAi2tLKM0tTz30FAAg9wY5N3lB6eyA2cJ0oR4cAAMC10x67j5dCPZ5A2wYIEUUIIbXi9O7ztWDbhlIw9VqGEEJYXo4ney/5QL08v+//U/fe4XVddbrwWmv3cvbp/Rx1yZZsuci9J7FTSEghCSUQCAxJhksZCGVghjbAXGYuw3e5zP2YoQ29k1DSe5zuuHdbtixZXaf33fda3x/7nBCYFMl24ON9Hj+xnli777XX+v3eYmqVKX900RsQojmak0K8FOwuzhz5zezorm/GOtfd3vKnlN3x7DcAAGDOzh6hfb40wdi2stlhQIhtl4pjfFfXVuBWAxxKkoKQohg2Fh0AiKIRy0pQliOQYQRI0xwAAAL8+o/hr0uBB2NLw47ZQIhmCXbMuYldP9Fq2ZP18tQ+29KrCFGMEura4g11X6SrxdGxw3ffkeje9KFIx5q/4aVgL6IZCQBwYTxtFnTcjgEAAIiiWMmfWhNpX30LIATXS5O7HVuviZ5oP815oo5j1v+4I+NSKy/IMTiWZpn1PACuj0pu6uAvjEZxFEBEsYI3KSnxZbpaPFucOfqbcvb0Y6ISHTA71t0KEWKmhp/4l0ruzFMX4jjO6dj/Su+7ay6HKMc21XL29CPFmaO/09XiaLht1bvUevbk7MgzX2cFb9Ib6d2OEMMvwDsENv8AtZo9Pnbkno8ZanmKZgVvML70umBi8HpdLYxNnnzsf3oC7Ru6ll/zNQgRhS4Ag8cdWt1YScvSihMnHvpcOXPqYctUC95Q17ZE79aP0ozg0xvFUZZ3u6DNxKnzgm0bVdIsdgaTg9cDABEAhBiN4qhWy50kxLExBnrbwOVfYlgp5MZeA0DPk8EDIaIYVgoCAKBlqsXS7PG7C7PH7sG2WYt2rL21NHfygbmxXd/yRxdf4RZ4Xtv939JrswRjC1CA1EoTu4szx+4m2DFoVgzyUqCD5b3JUnb44cL0kbu0Wna4a/l1K2R/ek2tOP782JF7Pu5YxoWSZ14QIIrmaYZXONE/ysvhXlGJLXFss1GcPX6P3iicYTgp7A11bROV2FLREx2gaFaGEEKIaA4iRC2EOUQAxrpaPAuAS9ShGcHf+n+86G9LLbrk1lBq+dvqxcndk8cf+ly0c/3tnkD7hmaBbmGeLNA1XQEAAMuozWXO7vkvTvS3RzvW3Sb7kkOFmSO/yU0e+ClEFBdpW3WLJ9C+QVQi/XSzeEvRnIflvUmwgAIPIRj7wj2zBGOb5b2JrhVv+n+xbTbKudOP2mYjx0nBLpoRA45t1BDNipI3sZKXAp1qdfYIJwY6GM6VRgme8CLwMkkMCwHHe5MQIrpRnjmk1uaOndrzs7cLnkh/onvzh4LJwRsgpBitnh32Rnq2AwJI5uzu7xZmjvymbeDyL4pKdABCimlevz+avMsyVPwBFCpXcKmtjepqNEj91LB99NLL+Gt1naif/0z1Q088btxn2+c8yZp3us0rgaZ5xedp39LQssc5xmOm4+v/DgAAcqUTvy9rE8+d7/ZboFiKXfeeRW8wVbtG0YgRfVwo0Kn0F0YrxyzVbpTG66eTywMb1JKZ97XJvXrFLAS7lH4AwOFz2iGEFGwWLb3hnotlf3pNdmLfD/OTB37BS8GuQHzgmnppao8n0LYhtXjHZ2lWDGLsWBAg1DLx/ovgJcVwx9LKnOBLGWppPDd54OdNCS1Hc1JIDqTXSt7kCpdi7767jm3ULoRnIYSQomhOxrbVqBbGnyMEO75I76Wdy67+aq04uWfq1BP/iihGiHdtfL830nMJti3NZUjs+pZlNHKIZkTJm1geiA1cjShGAIQQmpWCnBToMI3aHISI4gVfmyfQvkH0xpcixPC2pRZLcyfunxt74dtqLXuCE7xpQytPEoyt7Nm9PyDEsQDBmJeCXWFz1bu0em7YNtWXHW8gotnWeBbv3vRB29IrU8OPfVmtzh4WlfgyjvcmGtXZI/Guje+PtK95T5MSiiFEzJ+j+/tKcBsYRs22tNL4sQf+sV6e2k8IsQEgwONvW5vo3XoHohjesY16szg+zxoPBK2EIDfJ1qhnJ/b+cPbMM/+u1fOnsWNpsj+1Ot1/6ed4yd+BHUu9MM0wV5oTbhsax46pujHthBhqeaIwc+Su3MT+nzSqc0eVYOfmZO/Wj/oivZe2mhOO68/y8pYF84AbEe3Kuyi6aairRPqJ4xgzI09/XW8URv3x/jciRHOeQNv6VlGHFbwpuIBgEuyYDdtUCxTD+2ZGnvpafvLQL9yvt2OJnsii1OLt/8gK3pTjzt8MV/r06qBozgMAhLXC+POOpVd4KdjVufSNX0U0I8yN7vqWWsucCKeH3hFKLX8LzfDewszR306eeOSLWi03jCiap1kpFOtcdzuEFE3TnAcQ4nBioN3Ua7MQojzN8Ion0H655EuupFnRDwh2GuWpvXNjL3y3kjvzOMNJYcfSq5apliiaFQAACDu2znBSkBP97ZbZyGn13PDLsede+TpZGgAEi0p0ACKKqRXHd2n13Kl6aWqv6obC9EbaV79b9qVWE0AIBAAwvBx5NX+7l4PjWGqtNL470r763QwnR3zRRZdrtdypSm50p6lXpky9OsvySiLatuoWmhUDGDsWhIhuzkv9r72H/w6EKA5CiiXY1oszx35fmjt5f60w/lwwNXhjKDF4g20b1eLs8XsIdkx/vP8qhhEDrbUOx3uTzXdzgQUeRLeMuCFCdDi18ibJn1zl8afXtFQbGDumVsueohjB64/1X+Xxt61tNuIAdixNq+dPn2+AkeNYeueyqzPATX5kaEbwC3KoxzHVYnHuxL0IUUwgNnDN1NTBX2bH9/7AF+m71BdddBlCNEsIwaISG2htSx8dexYA8Owfnyd8WD1x8qHXvB4MwyGO9UCGFZ1abfZ8zmk+eH0KPI6lm1plGmPHqhXHn587+8K3CXac5gu7NrV4x5UUzcrlzPBD9dL0PogoNjd54Ge+6KLL5UB6Nc2IfvAXWOg3qXwEugUK69Sen70DQkRzgjcV7Vx/O8aOlRnf/b25M8/9ByEYe8PdL/nl8zfRBAAAy2gUytnTj/jCvdsxdgzH0iu8HOqVlPgy3hPupRnea0yWpzjR39G25PIvsa6Phoeiea8rvaB3vVxU6Z8Df633neGksBuLq5czZ3d/lxN9bYmeLXdUC2efyU3s/6llNvLB5LIbKYoRm4yQeU2uMHGsVuGvUZk+aJtaSQl1bu5d9daPKqGubZZem1Vrc8e8oa5t/vjiKwFwB0Sa5s7Z0KwF6MaPJwEAgDiW3qjMHgEQUsnebZ8IxAfeWC9N7qkVJ16Idqy7zZUcYmchMaOvBHdS52rKCXZMXS1NlLOnHy5MH77LUEvjnkD7hkTP1ju0Wu5ktrj3+dSi7Z9GFCPMu6gFEU2zohs/3SiOzY298B1fpHeH5E+uKkwd+lVx7sS9BGPbE+zYBAAAFMUIr+R/0EKtNLFHrWVOupIxowoRojyB9m2SElvCCt6UoZWnCMZWOL3y7d0r3hSU/elVAECoBDu2cK4U6ZwneBcaEEIoKrGlA5tufZBhpQAreNO2pZW0auYYJ3hTbtKv4OcEfxvDSRHXO+xFfT7VpH3PmxlAMHaUUOdh29LKEFIsolkJIYr2Rfsu61vz9n8QlehAKTP8UG7ywE8ts5E3tco0IdhxGXMLM1luacgBAECr5YaDycEbvJHeS02tMjV9audXHMdUEz1b7vBGerfzYqATUYzQoptDQDEvMRo+spD9mkZtVmvkT4ueSD/BxDK08rhez4/UCuPPmUZtDjX9zkRPpF9vFM6c2vuzmy29NpdavOMzoeSyG2m3I7wDIrT/XGR3LfCecJ9l1LOV/JmdiGLFYHzJtfGezR+WlNhSiCiGEII5wZ+u5kefnht7/pv18vR+UYkt5QRfmrjSXO3lvBUYBjCmCYz779V/rWlEFUUocTwSTp+yj+1+wXz6yZ3GA+dR3Lkg8EjxlUFfz2UNLXvU7+3ajhDN0RTnCfkWXSnywYyqF+adKPNqkEN8LDbgX8VKtIIoSJcm6qf3/Xzk3xsFPWMbjoYoRDM8JfAK47c0ux7t96/SK1YJnGOBB0KIWh4RFMMr2fE936/mzjyZWrzj04Bgu5QZfsgb6b1UCbRvnD71xL9aRiOXXrzjs5zgS7dMKP8yINiVgANiW3qlkh99qlYcfx5ASEF3jA4EE4NvEj2R/lLm5INqZe5IonfrRwFAtGObjaZ05/wAIQIIMRAimuGkECEYs7zy1PDun94EEcUE40uuDSYHb2zKRaFj17P10tRuhpPDHcuu/ipFsRJ2bN221FK1cPaZRmXmsKXXZimG98a7Nn5A8ET6CcFWNT/61NzZ3d+lGV6xjEbOsfUaABDyor8TUTTn8adXM7wn5pqlhvt4KdjN8J4oJ3jT2fF9P3qltCvopmwiANzu+vSpJ/4XhIhK91/2T4ZanqwVzj4b61x/O8Xw3pH9v3ovK/jS6UXb/7HJxHu97BVeE80CXQk7ZsMy6hmCHZNmpWDITQV9l6FXZiZOPPKFZO+2j7vpRQsJ0UJNhiZ2TL06U8mdeRIAAGiG94TTK26Kdqy/rVoYfTo3eeBn7QNX/DNFc/KLpkDnCVOrTFumWqBoTi7NHr9ncvix/6lWM8cYTgqnF+/4jC/Sd5lez50aOXDX7fHuTR/y+NNrsG3ULKORO9d9EoJty/xDgccfXXSF45gNvVEcFb2xpS4bv5HnlNhSlldigBCHAEDRDO+jGdEH5htMgW3DMupZRLGSqVWnMbYtmuGVYHLpVV0r3vQBAACYOPHw56Ltq9+DsW3Oh8EDXzR9lsMQIsrUypOjh+/+CEIUJ/vTa7pX3PCfgifchxDFOo6parXcKVOvzrQNXPpPki+9yi18ElIrTrxQmDn6W0MrT2HH0iLtq9/lDXdfjCDFqrXMselTO7/yYjKoqRYIwTYreFMIUSzLeWKBeH8w0r6mU5DDfc0I+Tgn+tq1em64XpzY/XLsuVe8To6lEYKdwsyRuyr5Mztbc2LREx2Iday/jRN9bY3yzMHC9JHfJHo2/x0vBbsQxUpMM4FsvvJvgh3bG+4+aRn1HMt7orXC2LOTJx/7Z5oR/LwU7Ba98UFJiS7V6rlT5ezpRx3bbLQNXP4FACFCNLNgj04IEQynVwgQQmi7SWT1QHzgmljXhr+VvPHlhlaepBhekZT4smaqbchxrEbrHrOCL3Uu3xtIURzLy1F3G95Usu+iv28ZbecmD/68UZk5qNfzI4Q4FicGOqMda95DACGObaqIYgTb0qsXyv7EMhsFTBwLm3p1duSZrxfnjt9LsGMG4gPXeEPdF2Un9v24XpneH+va+P5Yx7pbGd4TI9ixAEQ0w8kRNynWlRZDiqIhhRgAEQUQRJDnASWKFACAAAgRIAQTjB1ACG79aSZr2dgwa9C0GuDPEJv+unwkCCEk1rnuFHZMFVGMSFGMpIQ6B8PpoWWIYsRyZvghQytPyb706tTi7Z/mRX/n7Ohz/1HKnHwg0rb6FkEO9YJXiXN9veA4tg4AAQhRLCf4UvXy1B5vqGtbpH3t32DbqI8fu/9TpbmTD9gXQD/+SiAEO7wUfCDeteH9gic6kOjZ8pFK7szO/MyR3whyqAdCRBNCHFGJLuVEf7vkTSxrajJhKLXibcW5kw8AAPa+Xsf36sf+13nfGU4OAQAhzYrBzsE3fhUAAKaGH//X3OT+nxJCHE+gbV0oMXgDRDTvmrbNj3lAsGMS/KIRIPaGurZ2Lr/267wU7CYEOzZSi6ISH3RsvSp6YksAcD+aNCuHX05KsSBAiHgp0NHcJqMEOzf5Ir07vOGeS9Ra5rjsT60KJZe9GdGcBACA7pNnn3eBB9tmvVXUquTO7Bw/9sA/qrXMcV4MdMZ7tnw4GF9ybSU38nhh5ujvfJHe7RAh2o1eZfj5nDOEiGoangFeDvX2rn7rDy2jnp04/tBnK/kzTwIAYTC+5BpfpHcHAK6s5bXmf5ZRzxZnj//eE2hf74v0bJd9iZWzZ577ht7In24yUoggB3ua5nfLXKM2ADkp2BluX/VuRDFfvBDFsQsFRLGSJ9C21jIaebU6e1ir5YYb1bkjej1/huHksD+26A0QQJSd2PtjtTp3pK3/sn9yGR6IRq630IKkH7bRyJlaZYqXgt0IUSyiOTnStvoWyZdc6dh6TfLGlykrb/gmzUlhBN2PYrPAs6DvD8G27jiuF5gn0LbeE2zf6Fh6WS3PHFTCXRdBSNGIonmOVxIYW3old/qxWnHihWBy2ZtlX3IFolmJddPaFgRTr87VS5N7BDm82FBL42OH7/5YS5/tCbRvZDg5YuqVqez43h8SQDDLK3FvuucST6B9AwCu35A/uvjK/NShX4EFRNu+FDTDK+1L3rCskht5nGYEf3rxpZ+Pdqx+N0XzXgghxI6l14rjz2Un9v24nDn1MC8FuxM9W+8IJpdez0uhbkKw7Ra7XiaqmYIMwQTv32c9Fwyh6MaN7CUrh5h1jgOc++/Tf22a5M8um/1TsLQUBgAQxzEbPqVtk2VrRUIcS5GTazW9eAac43X9Uwh+Lsx5GJ9aMDIAQnjqsem7CmPVP0osSS4P7l1ydcctAADoJrSdzx4hbH1PtGrmRHZy/0+wY2n5qQM/1xvFUexYOi8Fu3IT+34EAACeQPsGl/VDMYi6EEzPc8OLjGVCAHYstRkhawMAgCCHuuPdGz/oiy6+ojB9+M7ZM899g+U9sVjXhvdRNCs7tlEj+PyjY2HT4BnRjOhzTet/Q7NiQFRiS6Mda2+VvYnlLdmLVsucqJcm9yCKFtoGLv+i7E+vyY7v+X5r8QQhpGhG8DKcHKYZwe/YZr1emtxt6rVZQrAjKdElhlaZlLxx13vLnxpiOU8MUjTnFhggBBAiCACwLK1kNIpj2ezpH2bG93zPsV+e4ekWuN0CTzl76uFSZvhBwRNeNHvmuW/o9dwphvfEzKnqjFrLnKBoXgmn/G0AulLahchzLjRcebFtNn1aoDfUvS3aue52llfi2Yl9PyrOHb830rbqXaygJFphJfMFRFTzm+AmDwDgSrATvdv+hxLs3DQ39tx/lrOnH22+BwgAABDF8GChbNCXganXZm1TLQDR327q1Rm9URiRfImVqUWX/AMvBjunT+/8t1px4oVQctmNrfQoU6/OLfQc/wiYOC0PO4yxXS9N7inOHP1tOTfyuGU08r5I7/Z4z5aPePzpNYZanixnTz3si/ZdDhHNsoInAeabpkQIdprsFEKwI/sSy9v6L7tFCXVuKc4evzs7se/HSrBjEycGOhuVuSPzMbVtFSeVYMdmXgp2W6Za5ERfe6Rt1c2+SO+lEFKMbTaKeqN4pl6a2q838qeTvRd9ItK++pZK/szO3OSBn7npdhBBiChBDvUgipUQRIxWzRw39eqMY1sqLwU6Da0yTdG8N5xe+Xb3OP3tiGIl6Aa7uO8ehMixzUbrOuWnD99paJXpBd0OxzYAIdgyGkWEqJrkT61q+qFdrNfzI+XMqYexY2m+SO92TvC1ta4DhBS90DqjpdfmDK084Zqzy2GGk6M9Qzd+m6J5r94onKkVx59rVGYOE+wYsr9tPWyOFQgtvMADIETNNDFAUYwY7970AU7wplyfQNdYQ6vnTpZLpx9hBSUpKrHB7Nnd3w0kllzrCbSv50RvCqHXZsP/KWhG8CGqycrDjlXOjTyWHd/7w0pu5HHHMqoML0c9/vQaX6TvMiXUucU06tm5sV3fUgIdm5RQ5xaXSXZhzOSx7ZqHN8pT+zLje76PKEZML7rkHxleiRVmjv6WE7zJRO+WD4ue2FIACCnNnXwAAIID8YGrKZpTmkqHKhMO90rLlg0BCCAgAEMKMZDlZMrjiQEEkVNv5CBFsYAQTBzbhBBCYtk6Now6EgQfEsUgwNiqvfDC9wAAhQtxbq+E160LoNVyJ7FtNpRg55ZE77aP0gzvzU8d+rWhlSfdLv6Wj0jexApCsJObOvizRmX2EEI0E0wMXu+L9O6AED16XgvccwBpLtIQYoRY5/q/DaWWvwUAAAszR+4qZ049bGqVaTeOT5GwY6myN9lkckB4IT4wLRhqabxRnTsieKL9hloenzz56BdqxYk9ECKEKFrgXOr21TQrBgrTR35jW2oxEF9yjajEliZ7t32ME30fN7XKzF8iZeGv8b7TrBSCAEKAEEsxnHfyxKNfLGVO3k9zUtAb7rkk0b3lI4IS6XejIAXfHyYhrw7Xz8j9+BPsGLwc6sWOpWfGXvhOtTD2tFbPj2Bs6f7Ioss9gbb1FMMrCFEsw8mRph/KOTusN4uUbc3zC6YWXfIPCFGcqZUn9Xp+pF6e2udYeiXWueF/SL7kSuCaA5/3dXccs/Eiy6KeP21o5Ul/ZNHlid5tH/cE2zcYanmCZsRA28DlXxA8kf5WKpJLH0UU+BP5yJ+i1R1uSW4svTY3PfzE/2qUpw9wgq8tEF9ydbx74wdbiUEtnfirbRM7tuGL9O6xzUaeonklO7HvRzMjT3/NcUy1tT9PoG2dP9Z/lVqdO1rODD/AcHI0kFj6pkjb6neqlbkjFMX8zrlQRuvnAkJwS2tOsGNmxnd/Lz958OemXptzbK3Mi8HucPvqW2RfYkW9NLVv+tTOf1OrmWMsr8RflBBASEGKXrBhLQHE9VyBEEFEsdg2GtOndv5bdmLvDyma8yjBzk2+6KI3YMfSIM3RqHnvwAILPK5RtV4mhBBEMbzeKIyWMqceqpcm9zYNOFdI3s5BACCq5kefMBrFs7IvNcQ349ERonmaFQILPT/H0iuV7MjjgdjANaygJNoGLv8CIdhheSVBCLYa5ZlDBDuWoEQdgm2TZsWAIIf7EMXw2LE0iGhO9qdWhdIr307R3NdeacH3SoAQIdmfWmwZ9YyoxAbT4e6LdbU0VsoMP+QNdm0xtPJkbnL/T2vFiV0UzXnS/Zd+zhfu3cEK3iQhjt3MDTBfkTUBAbQdYFMUoNesYTfv2WM9fdHF3BW5HJ6rlPFfzMj3pXCwWQeEkHRs3QdoivPkS8P3AACRwAd7nAsgLW0BIkAFu5QBCGuwcap8xNLs/+bfABFE3qTYocTFtkZem23k9XOOcAVucQARQkijMn3A0msZ2Z9eHYgvua5emtyTnzr0CxNVuGBy8AaPv20dL4d6OMGXhojiWM4ThYiiyYX28JoHmkw04v7VbkrbGV4JdW7pWn7tR2hG9E+eeOQLxbnj9zqWURfkkOxYepWiGPGCsHdAizRNMISI8oa7L1687p2/pmjOw8vB7pZ0pzB18BeV7MjjrOBNKcGOjZH21e9udmbNQHzgan9s8ZUQUgxEFAMhav2XhohiEEQ0QIiGACKMHcPUq7MUxYiI5iSCseM4Zt3WyhOmXpkx1MqkoZbG9UZh1NSr06ZWnTX1ypRjv2rKGQLAfTsruZEnEEXzohJbKvtSq/KTB37eqM4eEqRQX7x784ckJTYoKtEBimJlACE8l3HsQsFNieRkhlZiPUM3foeieU+tNLF7bvT5/7TMRi7ase7WWOf69zU9NBY0p2gVrkgzydYTaFvbtfzav1cCHRurhbGn3TE+uZKXg92tNCFXYrwwNujLwdKrc7bZKBBCCCf624PJZTcmerbcwYuBzlpxYpfkTazwhrsvZnkl0WIzmHp1er6pqi8HQrDTCrYg2NZzE/t/nB3f8wPJl1zZsfTKf/FF+i6HiKKLs8fvnRl5+v8gihGUcPfFECKKZudvMt2UT/somve2L3nDlxGiWL1RPDNx/OHPafX8aX+s/8pEz5aPuPIfguejSGjdW1b0tfUM3fgdQrDNicEulnfnXrXixO7M2d3fRRT1+bohAAAgAElEQVQjeAJt65J9F3+SE7wpiGhW9qVWCXJ4MUIU03z/6D9+/xADIUVDCClCiGMZtQwhxKFZMQgIdgjGlmlWpky9OmNolanmuzdmauUJ0y2cTDqWXlnoGogQxwQAQkEOdaX7L3tPMDl4A8PJUVMrT2HsmNHOte9leW/SsY2aZWlFtjnPhIhiAAQIADDvwnXLVxUAAJrMYqI3imOc4EtBRDGeQPtGJdixGVGsyPBytLnGJNQ8bAf+FBBA1ArRQBTDS0ps0DTqmeLEvh9X8qNPGWp5gmI4TzAxeD0vBbumT+38Sm5i34/kZpOKonkv45qaLyhQwC3uuGvjwszR344fe/DTjq1XBE+k3xfpu0z2JlZQDK/Uy1P7zh69/5N6ozAqeqL94dTKt0MIIUVxckvCfN5wgy6IVssN04zg7xi86t9kX2pIrc4dCaWWv0XyxpfRjOC3La2Um9j/05kzz/y7J9ixwRftuxxRDE+zYgAAANhEfJm4bPB6c2JyDwEAYLVRoCQphHhOoQOBDu306ccgoikkSCFjYmI3EsUApBANKESzifgyyHIy7fe3N44c+R34qy3w1HOnbUsrSd7EMtvSy2eP3PtxhpejbR2Xf4FmBJ9amzuWnzr0y0Zl5pBp1DLYttR6ZfpAvTy13xvp3cFLgS4AwMjrdXwvB4xtHRBAIIVowRPuw9ixKrmRx1lOiYfSK26CAEJeDvUInshAOXPqoUruzBMAAPftuYAdFUIwjndvfCqYGLzBUEsTrsaXYF4O9gaTg29Wgl2btVrmxMzI019Tq3PHCHbMWmH8+a6V1/9HILHkGggRPT3y5P+DKHr/hZBrQYgQJ/rShBDclFi84kf7r/G+M6wUasl4HMuo8lKgK9696YMUw3s53pvipUBnawLhFhfmd69dI+sWgwfj7PjeH+anDv7STddgJdmfXuOL9GwHAMKp4ce/nOy96BOCJ7yI4aQQ5ZoOn3OBh2alIMU0pV4EO43K9MGmwfNTtmVUJW9sMNa54X1NHSwBbiPivCdJ2DbVVlELIYoNJZe9Odl38ScZTgpptexJrZY9yYn+NskbX/7S/UHXvJoCALxqN+wlHjwAAEAsUy14gh0b5EB6Nc1KYdczR4m3ukuuId1rJxjpjcKoVsueFJX40kZ55oBtaVU3zrz7olBqxdsoipWKmZP3leZO3G+bWomiWRljx4q0rbq5femV/8KwUpDh5V9aev2c6dovBUVzEif60oZamphPgh12LK1RmtoHOtbd2vSJuK9aHH9e9ET6I+2bP+SL9F2mN4pjs2ee/b9aPX+GZkV/tHPdbZ5Ax0bRG18GwB9JtM4RELqTemybenWW94T7PIG29TQjBDJju75NCLbiPVs+wov+dormPPMtlLbg2KbWueyaTDMVi54be+E7ej0/4g13X+SLLrqMZnifbWqlRmXmgGMZdVb0tSmhrm3EtVjQIKJ59/1dGDvOnfD7HtMb+RHJl1rlCbRv0Ov5kfzUoV81KjMH1ercUQgg4uVQjyfQvsHjT68BEKLi7PF7Tb06E21f/W6WV+KxznW3643CCKLouxYyLtOsGFCCHRslb3wZdmxj+vSTX2UFX0oJdmyeO7vrO7XC+HMAQiT7Uqs50ZeW3EmTtzh3/F69XhiJda67nRDsWK8QTU0IwBACpKqkwbKA1TSiPvSQ8buNm9hLGBZe0ISqc4Vt6xUCiENTvK+h5U5U61O7I4Glb9b0wohmFC8IewcAAIyaVS6MVU84BjYAATi9KryNV9j79KpZBgAAVmLkde9ZdAXNU4JWMguszCjF8dr8uugvhxerz8RBNCelFl3yKX9s8ZW14sQLltnIeSM92yGkmEZl9ohanTsaTg/dLCnxZRBCyApKgnIn7edtWLxQuN818uIPNCMo0Y61Nyd7t37MNXLf/1OIEOP6bdFPcoKPtGRd5EKxHQlxWkV1mhX9Sqhz80uOz8G2pXpD3Rd5wz2XEOyYhlo62/x+0wRgixMDnYBg7GBbw46lkZaxPrZ11zTY0hzHbDimVrIstWibatFNFW3kLaOetYx6FjcbGoRguxlSYS1gbCEAAECwbQpyeFEgvuRawRNZXJg+fBekaNYb7tlOCLbLmeGH1Mrs4Xj3pg/xcrgPQUS7CT7nyfI9R7ihFLxCM5zHG+65uF6a3GsbakH2p9cE4gNXi0p0iWMZVUJIZEE+axDAlq8MhBTrjy2+UlLigwBClJvc/5Nqcfw5o1E8K8jhRUqocwuiXCYDukAFHtvSq4vW3lwAABDZn14j+1OraVYMmHp11rGNumXUMrpaHAunwota0hXLqGfJAjRofwoCsNPyo4KI5hneEw+lV7491XfR33Oiv02tZU8Wpg/fWStOvGCbapETAx3A9WGiGVaad5EPIpqhm56HSrBjo14vjJra2Wd4Kdgd7Vh7qxLq3GJbepkQx3aTll6bjoIdU3UVDzQr+9OrX3JWxLEtjRP97enF2z8DIKL0ev5UM8xExo6ls7ySaJa3DNe709Yd26gQbGtO893DjpvyZZtq0TLVom3+8bvnxqg7VvOdszC2zfORQLtHjh2aFQKJ3q0f9wTa1mm17HBx5ujvCcG2EuzcbBmNfDlz6pHi3In7ZH96TVv/pZ8DwC16Np/Bee8fO5baavYwrOC3jHruxPM/uA6iPzS+KJrzeEPd2+JdG9/fnKfB+fhK/jdAiKiXSLtsSytNHH/ws/npw79GiOb9sf6rYh3rbrWMWmbsyD0fq+bHnsGOpfdveE/z1yHFuYqABfndQYjoVoJoozx9QPanVgeTS6/neF9Kq+dP5acP/7pentoHCMEUK/gD8YGrI+1r/oYTfWkAXAY+07RkOF8gxAiu309uWPLGlrGCN1EtnH1Orc4egohiIaIYhhVD9fL0PrU2dzScXnmTyyICBCLEvDjesKzIRqP9EAAAaIazi4WzWNWKxLZ1yHEycBk7GkYGjQTBh3W9ilW1gEQxqB4/cR+kKJbv6b4InMe4MV+8bgUe29LLai17QlRiSwhx7FjXxvf7o32XWWajkD2753vFueP3ulKC9g2SN75MrWVO5KcO/aKcGX4wtWj7p4OJwTchRP+fc031cT1DWYlgx3J1wK+NlsyCNJMhKrmRx2rFid2GWhwz9XoGAADiXRvf3/TdgC0/AwjczvW5HOcroVYY3+VYWpnhlTiiWMkf79ic6r3oE7wc6i1MH7mzXpraJ8jhPo8vtZpiBB/LK3FAAEGIFoLJwesFJbK4OHv8bo8//Vu1lj1JsK2fS1oPQhTtDfdsS/Vd9EnHNmpjR+75KABg/JX+/V/jfXc9XSB0bKNWLZx9Vq1ljmn1wohjqaVAfMk1sj+1mmDedv1LxMB8ze0IdqyWUzrNigGCbYNASAXiA9cE4kuvgwjRhenDd5ZzI497Q90XteLuGVYK0QzvBQBMncs1AAAAmuF9Lm0UgHp5av/I/rtuN9TSJMt7IpH2VbeEUiveajSKZ7OT+3+S7N328SbL/LyNG7FjaS1ZGqJYUQ60ra0Wzj5TK4w9YxmNnBLq2ib7U6vKmeEHAYSUN9RzMaJoDiGamw+jAyJIu2lMhFhGLVMrnn2uUZk5pDcKowAQHE6veqfsSw41fQoouumv9FrbNbXqdL0yc1DypYYYTo5xoi/VNnDFJ0LJwRv1RnE0P334TmybaiDW/0aKEbw0I/g4wZcCAEBO8LW1Lbnin72Rnu3htqFfV3Ijj9umWiQY2wudgLdiN5N9297nj/VfmRnd9S2EqB9h/Oo0cDeL3U3VaT77eqRt9S3x7o0f4OVQT6M8fQBjSwvEl1xH0ZzHMht529SKtFtoaU6qEXWe4xikWTEQbhu6OZxaeZMn0L6+OHvs7lJm+AGaFYP+WP9VLOfqsRHF8BTNKQvdgd7In3YcU6URr4TTQ++gGM5j6bVMcebo7+qunvuMqVUmeTm8KNK26p3Zib0/dGyzEetYdysrKAmaEQNNY+8FsT4MtTyVXrzj96I3sRxCRBlqaTwzvvu/GE4OB+JLrsGOpbvmnNjJjO/+nlbPn0IUI/iii6540RiT9ybbl1zxZYpmPTQr/NKx9OqrdRihK2WTw+mVN4bTK99RK07urpcmd/siiy4nBNuV3JmdCNEcK3hTeiM/olbnjrqyOKM+duSej5XnTj7gi/ZdhihWMtTS2VcyA7UtYvl8KCDwUBgbdU6v38Be9MB9+p3LlzNrhoaY9QjBUYz//GzQl6KuZo7QtODnWDlerk48Y5j1bDS0NOuoRq2hZo9fqP00cvrsmZ2z9yRXBDflTleO+Nvl3m2rB7+y7Y7BkqU69R2fWtEV7vMuM+pWtTanTmSHKwfrWe3czRIxtl2PAbdA1wAAFaaP3FUtjD+v1bInDLU0ARHFegLt6zjR317Jjz4FIESR9NDNrOhLN5kqf/4CD3bMpjwNMpwcCSYGr491b/wAzfAKIYQkerZ8GABI1ctT+44/+19X/uEXAcHEuVCJow52LM2NGyXYUMsTWj1/2tTKk45tNkQlukTyJVZo1eyJubFd39bq+eHeVW/5Pit4U5mzu79bL03ucbdhNhzbbGDHUrFtqs6LP5t17Fj668WEdreNbQgp2hfpu1SrZ09mzr7w3UZ5er9azZ6wzUaeZsWAEuraRtGcnBnf8z1EMbwS7NjEy8HulzNM/3OAojkPRTMiIRjbll7SG6UxQytPcqKvHUJETw0/8a+ObdS7V97wzWYHf97bbs1ZaIZTeCnYNXvm2f9bL0/utU2tzEuh7nB65Tt4OdRdzgw/RNGcR/LGBymKky+UJ9GLnkgQUsW5k/e692LumKFVpwKx/quj7Wve4zYhXzQMr5+PhIRg7ISSyyqEEIwQxYTTK95GM4KfZqVQvTS5p5I/80Sz6dgRaV99i+AJL0IULWBs6zQnBl97Dy4QRQs0w3sJcdNVdbU4amilCYAQzXByeG7shW/Xy1P7elbe8E2EaL4lB3o1OI7VIMDNzrVNtaDWsidMrTxpGfUsy3viSqh7G3ZsPTux78f56UO/alt86efCbUPvKGdPP5KfOvhLQrDtOJaGbbOOHVN1bEv9w7toNhzHVM+3YLNQNMNW6rmJ/T+q5kef5KVwn+iNLsGOreemDv6iXpzcbZtqUVAii5tSfQAAAIhmxPlcs5fCsc26bWoll5HMSgjRnGW4DUKIECXI4d5Yx/rb/bHFV7meV5ZG0awEEcUsNHHYZfC0DMyxU5g5+rvi7PF7RE90INq57jbRE1tamDl8Z37q8K+xY+nB+JJrO5ZeuSKUWjEImgfEi4HOhZyfe456tbUeiHauv51mBL9amT1ULYw9Yxn1LC8FOllBSdpN76twauVNnOBLEWwbANE8hBBJvuQKiNCj5/sstEy5G9W5Y0ajMKI37jwDEcWE00PvDCaWXgchohqVmUOeQNv6YGLwerU6d7xWHH9O8iWHXPm/W1jTx8aexZpegTTNIVmOuMEkjo0YVgAY2xBC5DTUAoUQ7cq2UA5xrEgHQz1Y08pY16vayeGHnFrtZRtuFxKvW4GHEGzXCuPPhxKDN3hDXVsBhMjUqtOmXp2hWcEPIcVYRm2uWhh7xrb1qmMZVYIdu5QZfjDetemD4bahd7p0Ne+zpl7LLGShhBDNeMM9W+Ldm/9Orc0do2juy45tvGZUXpNqTFyq5L4fTQ0//q+ObdQohvd6w93boh3rbmcFb2Lu7AvfmRl5+uuCFOwCAAAA0Ysvz4WCqVWmasWJXXKgbZ0n0LZeCXZuhoii1ercUUQzkuxPrXJcA1GbYcWgEurayom+dsfSynqjcIYV/OlEz5Y7IumVN6vVzLFKfvQpb7j7ea2aOW67EaWv8tWFkKJZyTXFuvjqSPvqd/FSoNuxjIon0LERvEqB56/xvjOcm8qkNwqjkycf/ZKhlSdFT6Q/3r3570QltmT69FP/2xftu8wfXXQ5zQgBNE/KIMGOiYlbVJO8ieVKqGtLtHPd7Uqwa6uhFkarhfHnPYGODbK/ba3oifS3Yj9pTgpTzPxiw19t300TTKBVsycsvToneiKLOgbf+GnJl1yZnzz4i+Ls8XtinetugwBCAghYcKrRywBjW29q84Fj67XZM8/+X5qVgr5I76WRjrXvtU2t1KQFj4Tbht7hi/RdCoArn5lPFw5CimpSJUmtOLl74vjDnycE2x5/el28Z8uHaYZXxo898Ol49+YPSd74MoaVgvP58GJsW6Hk8qfCqZU3iUpsiWLUtkq+xApdLZ01jXpW8IQXYdusO46lIkRxohJdogQ7NkEIkd7IjxDsmP7Y4jcooc4tplqZrBbHd9UKY8+ISnS/oZbOvqa3EKIYmhEDgfjAikj72r/xRXq2I4qV7OTSXHHuxH0AgFeVgbgeEn94ZpRQ15ZgcvAGlvPEbaNRgE0qdCU38rihVaZkf3q1P7roCgAhsox6jhL9ba6O/dyZiBAiOpxa8bZQavlbKYqVHNuoid74cob3RB1LryGEaIIdE7ieCaiVorAQqNXMCWybdeAaAQbOHn/gH6u5Mzsto57DjqUxnCcaTCy5TvBEFhdnj/2e4aRwrHPD39IuvRjQrBho+gwtWNZTmDlyZyi14i2SNzaohDo3L9l024MI0TxFc3J++uAvDbUy5dhGlRW8qZZHQKRt1TvpppQAQgg5wd/evuQNX3ZN/fb+kJeCp2xTLWBs6QRjGyJEUzTnYVg5HO1YsymYGLxB9qfXYsdqsIKSSEUu+QdTr87ZplrgRF+6OHP8blOvziqhjs2h5PK3aPXc8Oih339Yr+eGWV5JhFIr3goRxVpGLesWQf87NI2omkoaF13CXfnkTuPB7Zdyb3zkYfD7H/2g8Y03XMXfOD3tTMgyOlCv479YWpztGHWE6EdpivcR4pgsIwUVKVFleTFoLyAG97VgNKxackXouWi/b4j3sgFfWu4JdikDABBg1OxyPafNjr+QfRzbxKJZxE/uze48n/1hbBumUZ8DhOB6eWrf2OG7P2qbasGdzPMeOZBe4wv37iAEO/mpgz/X1dJZtTJ7SAl0bBI9kQGGkyIAgAX5TFwIuEUaQiCEkJdDvaygJGqF8ectozYLIWIkX3IlJ3jTlezpR2xLK9EM3yzmEgIuEOvEsY16ozy9LxAbeCPGtpGfOvhLy1QLSrBjoxLq3MqwUig/dfhX2Ym9P3Jso0azUtAy3eh2x9LK+elDv/5zLyBfCtvSy7aplQCEVHZi/09yk/t/6th6hWBsM5wc8cf6r/KGuy9qlGcOFWeP3e1YegUCiGRfckj2pVYhtzD/Z5XnQURR0fY1AQAg0uv5U2OH777DcUzVF+7dzgm+1PjxBz9TL03uibSvebfL52REsIAKT4vxbBmN3PTpJ79aL03u5QRvKtY9dHMkPfQOQy2dnRvb9W3HMRv++MAbAWj67F0ABg+iGL5//S0eAADU1dLY1PDjXzYaxbOSL7nSjelWEvnpw3f6wj2XKKGubQAAgB1bO98+vONYKsa2TlGMyEuhXkCIY2qVaa2ePVnNjz1taOWpQKz/Km+o+2Ktnj8FCMAuIWP+Mr0mc5WyTbV49uh9f6/Vssdlf3qdEurcMjPy9NdLmeGHlFDnFgCRu5BtpoS9Ghrlqf3YNmqI5jzVwtgzpbmT93sCbeu84e6LGU6Ja/Xs8NTw4/9i6tUZimIFy3K9hiCi2MLssd///y19FAAAJF9qtS9SHPOGuy9Sgp2b9UZhrFoYe8a29ArLeSKJ3i13SN74MobzRF/aoKIQIyz0GcTYttKLd4wSbOuIYgSKcf30GE6ORNrXXB3rXH8bti194vhDn1Vr2ZNtA5d9IZhYeh1EFNuMLJ93gYcAQlqFFstQC/XyzIFY14b3BeJLr1MrM4cmjj/4GexYarht6OZAfMk1vOjvpBje0/R8JRBCqqmuWBAsQy3aZj0HQLCbl4Ld2DEb0PVplOxarlgrTe2haEaSfckhUUksq5Umdk+deuIrrOBNpBdt/zTNCn4l2LF59gzzDbDABK+XgmZ4T/fQjQm9URhtVGYOAkCwInf3Jnq2fERUokvctCzseIIdm2xTLeamDvx8duSZf28y6m76o3PKF0YBAKMQIQQQolvm2vLQ0NuJYdT5rq6ttd17vq+fPv04Ns0GwNgGCFGI4xQmFOoGgACrWBon9utv6fD6FXiw4yjBjucts5FnODls6rW5s0fu/Xhx9tg9rW40J/rSwcTg9Vo9O1zNn3kSUQzvDXVtoxjOI/Dhvt7Vb/1hNT/2VH760K9Y3nOfqb92xYtmeDnSvuptqb6LP8nLoR5ZS62qZEceBwA89trHjE0AiJtI7gkvoljB5wl2boy0Db1T9qVWVfJndk6fevLfqoXRp7Bjm95wdycA7uKqZWB1oWBZWrEwc/T3sj+1mpeC3ePHHvg0cNft6ks7ShTNCt5w98UAEFIvT+5rVGYPOZZeiXasu032J4c40ZfmRF/aH1v8BtvSK5XcyBN6ozgGX42tASFCiOaaXRFSmjv5gC/Su4MT/e2coKRe7bj/2u47omhucOv7FQjd+0+IYwfjA1cnerbc4TiWNn70/n+ougv1fkAIdpkH7LxSrjC2rf4N77EIIcQX6btUVCIDghzuJRjbjqWVEEVzlezI45ZRz6L00Ds8oY5NiLgSJJqZX2z4K8E1qDNqAABgGvUsxQjeZN/Fn2R5b3Lm9NNfo2hGSvfv+BzLKzFCHMvVQZ+PPKd5zo6tg+YkDSKK8YZ7Lo51rn8fxXCe3MSBn9aK489zUqCzbcnlX/IGO7e0ijquROu1P5CIYkSKZmW3FWzpEEIYbV97a7Rz/d/WS1N7J44/9FmjURwLpdxBGdGs1JxkvqYsoJI/86RanT0i+ZJD06d3fuXEc9+/BruTrz/6kApyqDuYGLzesY2aqVVn1drcMUlJLIuKgQ6GFQMMKwYkX2JFrHPdbVo9f7qSG3mcvAYDByKahRDSCNGMoZbGi3Mn7gvEBt7I8EqMmkdqAoQU3fIdAgAAy6hlZ0ee/rptGVXLqM0ZjeJZjG09EF9yXWrRJZ/ipVBvfurgL4tzx++Oda5/Hy/62+BLDF/PFaZRz5Wzpx42GqUxQy1N6GrxLMG2HkqteJsS6ryVai70IICQfcnxzhdqde6IadTmWEFJmHplJj958BfYsQwIEeUJtK+Pda7/W+yYan7q8K8DiaXXhtMrbiIEO25HiGJYQUkgl/VQAsA19WQ5OQwgpEytOvNqhTi9URjNju/5ftvA5V+iaFbipUBXvTy9Xy+MjWDsWATbplbPDau17EmGlcOR9lXvQohi66XJ3Vo9NwwBpLyR3h0s74mG0ytvCiaWXteozB7RatkTlqkWsWNplOvxlpS88UFeCva0ZGyEkEBA8KYxtjWtkR/JTu7/STlz6iFRiS5J9+/4HC8GOmZHn//PwsyRu7BjGTQr+uLdmz/ki/TuAAQ7tdLk7leS+tXrpDoz40wuX8msffQR4+6xMXtkaIjZ8NOfaN/kBSh87BOeL42N2aff817pyPBJ+8jpU/bxfB5n58NsYFnIBIMoEgyhSKWMS5OTztmF3nMAAOA5byoSWLIVQkgJvL+TQozAsd6UYVYveHFj+mD+ud5LkhFPREiaql13TMeo5/SZ3OnKYb1iFhmeknwpqatwtnayUdDnlWLzSiCEkHDb0FnH1mvEsd2UGOxYsr9trexPrUaIYsrZ04+68sDkymBi8IZGdfZwKXPy/mTv1o+KSmwJhOjg+cbILvi4HdsgAOCmYbo8sv/Xt0GIaE+wc1Oq76JPQADg5MlHv5gZ3/sDgh1bkF/Csr9AiaPYsQ3Jl7g/nF75DsETWRzv3vRBQrBtqOUJN2WM4QOJgWt5T6iX471JRDEizQr+JrPu8tzkgZ+BC2TOfS4gBOOeoRtPe8Nd27CtV21LLSLECL5Y32WCHO5zbL06O/rcfxJCbF+k71JeCnTVCuPP14oTLwhyuI9zvcVO/jmP2ZUGuYlBEFGsJ9S5xRfuuaRRmT08ceLhz+uN4jjDyaFAfOBaAFyD+flXdwD5A4vesRxTKymBjg2pxds/4wv3XEIAwYiiufTiHZ9FNCcLcqgPAAAQorn5zsleDQwnhSiG97kLNmwDAGC4fdW74l0b329qtdlaYfx5QQp2i0psKWzKTpoJP+f1PBNsG+7Yz4iWXpstzBz5TWHm6G9rxYndvBToSPRsvcMb6dk+N7brm2p17qgSbN8AIWIoNyBjnucmhwEECCJEi0psSaRt1TttS69OnHjoc2pl9jBCNBeML7mGojkZUQw/n3lAozJ7qJw9/WgwuezNrQao3iiMsbwSo1kxQNGslFp0yadoRvBRDO+lmkmpkjexXHFTTl8zVvrPjXB65U3h9Iq3tgobnBTo4sRAh97Ij1h6PcNwcoThPFHbbBT0RnFM9qdWIUSxzWu2YAZ8rTixy7b0CksxQjNNVkotuuRT0Y51t0NE0eXM8MOSLzkkB9JrOdHfBoDbDG368CzAwoHgVhoVomgu3rXh/Zzob6sVx5/X6rnTwcTSN7GCN8XLoR7RE1mMsWM2ytMHbEureEPdWyGiuNb+FwKCHaNamNjlCbSvx47ZyIy98N25sV3fMrTyhPscdG6mWcFnqKWJyZOPfMEyGnnBE17kDXVtbbHJJV9ySPanhgAATy10/y1wzbl5furAz1leiUc71r432rH2vS9tihLsWNX82NNzZ1/4Tilz8gFO8LcH4kuupmneaxrVWdxkyL/kimIAwIts1NBb3rzBUdWilc2e1M+M7MTGf5tv1dl4PEB5PDE2Hl+qq2oRLKBIdy54XaMW1erc0dzE/p/Euja+H1HNBCJEszQjiEqoc2vf6ps+5thGtVYcf941xwv1hNNDN1M05zH16iwAACihzq2eQNu6aPua9yR7t/2+Xprc7bipDc0IakIQolmGkyNyIL2uf8N7totKdAmACGHH0ljeE0c7vHwAACAASURBVPdF+y6jaPb51/KyIMRNdnBN+3p3DGz4m3sQxfBaPTeSnzl8J0I0H+tcd1t68fZP96x6yxmWkx9q/nuaopl5D7bzAcGOw/LKvZG2VTd7Q13bMmd3/9eL9L2mSSnNSkHJl0pStOCzjEYWAAhCycEbKJrzqNXMscz47u86ttGIday71RvuvohmeG8gvuTapvazBgghNCsGAATQtvSybdRz9fL0/kruzJONyuxBy6hnHUsrc6KvXVQi/Zzob59PZMhf032nGcHrSjYgZFgh0NZ/2edlf3pdae7kfbOjz37DNtUCyytxhpXCrjYZInoB2mfSZIUhihZYXonXSlN785MHflHKDD9g6bU5UYkujXdv+hAhjjlx/OHPJ3u23sHwnjjDe2Iu9e/cOozYsXW7+bzYplrwBNrWiUqkvzh74t5gYuBa29RKhanDv2Kbnh0QQURdgCIlwbZBiBup7A33bg8mlr6JZsWgWs0c8wTbN/rj/VdRNCuzgjeFsa0DCCFCLYnWa08qaFYMuoVHCDgp2Nm14k3/IXqiA5mzL3wnN3nwFxhbGit6UzTrFsgQohjXOBAUX2vbtqkWMuN7v9+z8oZvi0psUKtlh1uLWIQommalEMNJIcETacfYNvVGYVRU4oP+2KIrHEuvzo48/fVGZfaw6I0vi3Wuv53hpJAghxcJUrDbto0qdiydoliRojmP45iq3UxbqebHnq4WTj5jqKVxy1QLhDh2KLXirf4mu2k+s0fYpFq3flarmaOV3Jmnmh2hsDfcc0m0Y+2t7oSE5opzJ+5HNCO0D1z+RUGO9Lv7IQAs0BTzj0FwJTfy2PiR+z/pOKZG0ZzsDXdti3asu43llWitOLGLZgSfJ+gmoDDN+MyFwLGMWq0w9qzsSw7RrBgQPeHFghxqpBZd/OZw26p3GY3CaCWX2Rnv2fx3EEI0cfyhz1M0Jyf7LvoERXOy7Eut6hy8+n93LL3qDMNJoaWbb++hWTFACLYzY7u+jSj6e6/kj4Md2+QE7y99kd5LfdG+y1xz1DM7p0/t/AoABFMU55H8yaH04h2fUYKdmznBm7LMRl6r50cIIYSXg50U/f9R955hclxl2vA5lVNX5xxmpicHaUbSKGdbTnLGEWMbAyYZzK6XYO/C8i0sYMK3CWxYsvGS1hhMcES2ZLByztLkPJ1zd+Xw/qhuY3ixNJIM7+59Xfqla7qq+nRVned57kCwuiUr0REUozlnZJBzRpc3CgYALLmdoSs1Ra4kUZRgIYKRuiaVhEr6THrq4BPF1PA2CCHqb15xvzu86Baxkj47fvzXf6uIxVkEQQmbK7oo3n/jR1zB3hsgglGaUsvk5k8+82bfaS5nZI4dVfevW09esXwFvu7QQXVXJII2r1pFbNq9S9k+OaGP3HU38/7738d+VNdNrVoxy9mskfryv9jn8jkjI4qmoChAhhBAFAUoRUGa5SDv8yGBH/3UFSRJSHEctO3YLj8HAPjoha45AADwXHi5y96ySVbKcwTOBQCE0DR1rSokLyjyfqGY2Jl83tPGL/K08X2GYepyVS0xDsJLcriD81KhwlR1eOi3s0+pkn7JUzipmh3VVKlI0PYI54wO2pyxlYpUmi9lRl8xDU3hPa0bYz1XfoZknDFVrmWrxdmDuflTv/TGlt1j97Zuys4dewq8YaP514DlV2iaEEKEtQcW2X3tlzt87Vs4R2SwUpjZX09PPPt/y6Rhw+zyLYFYTp2uFGYP0pyvE0IES07s/WZyYu+3MIziIYJgCEowBMUHOUdkkHWEluAa68FJzsc5Isv8LavehxHMo5oiFN+q87lQCKXkSdM0DZoP9No9rRt5T3xDOTexM5849UsEIzhvdMldzkD3VgynnbVS4lhm5uiP84nTvwm3b/yozdW0Bvw/aPBg9RRLknHEgvE1D6Qn939vdnjHFzVFyFOsqznSedmDvLtlLQCWnAtcAIOnUYSapmliJOsNd2x+xOaKrZSl0pxUzY9X8lN7hHLqtN0b38DYrPcWhBCpy6UPXcq14STnbwzWcILzNS+6/v/nXU2rrUITIg6yww1M06iHCpgQQnixVgJ/dM31Bg8AABTTw9umz2z7jGkamifaf0cwvvbDOMl50lMHn9R1pRbu2PywNYgzTQTBFuzFghOs1xoDUbZAy8r3FlPD26ZOv/gpsZIZwkmb3xtdcpc7vOgWCBEcRRfmaaQpYrGQGnrJGei+FkExupgefXn69EufNg1NRlCMghDFcZLz0ry/l3fFVhG0I2JoSg0nbf5Q24a/o22+SamaGf5/EQbzJzBfl9mZpiFUUqeFcvJkJT+9vyFtp1hvmzvc9zYEwajE2K7H84lTvyRoe6R14G1fp1hXC0Qx6mIsDjSlljUNS7KKIBjZ2B/WinOHVUXIQwihJ9J/h+W5ZT03ERQjL9SHxzQNXa0biGM4ZUdQnFalclJTxZJpGmqlML2PlF1pivO0idXsSHb26H9Ltfy4M9B1Lag/sVGM5FGc4nRVWjCTxjR1rZwd2xGMr/oAhAhGMM6YN7b0Haw9PEBQtqBYTZ+VavkJjGDd3uiyeyCEKE5yPpsrtqphZE6QnNfXNPgunGRPqnLtvPv4PwWCoLgr1NdZLcwetHs7trjDA7dbnkeVtJXqqNSEUuJ4evrQk5X85G4MZ91NvVu/4PC2XU6xrhZoMc/V84VjyJNTe2wrV7wbEgSLOZwvQQQZMo0/DF4ghpFMX183QpKclvvzbOq3Gn/RBo+mShWa8zxuyYyaVsW6r/gn1hEaQDHS5gr23IDhtL1WShx3+Duv4j3xDa5g93W6pgozZ17+51pp7ggAEPqaBu/zRPpvt7mb13Gu2Kq6741lTmeaBjAN3Uo6QBAATCCLxZl84vRvSpnR7e7w4ltcge7rHd72yxNju74Gzhf/Wy9MAQAAxQiG5jztYi03qsrVFM15Oxg+sIhi3XFgGoYqVzMIZhXEda+ES54g/CkUqZzqWHHXnNPXcaUnvPhWDKd+iGIk7wx0D7iCPdcDAGCtlDhO27ydvLtlLWPz9xq6IsycfeXzpczoK6w91O+LLr2b4QOLrM+rpCr5qT3l3ORORSjO2txNqx3+jitL6dHthfTwS9XC7CFgGpqmCAXD0FUIIaRYd6snsuTtJONqBsA0TOP8Bon/m9bdSsWymCsk6467cNqZGN/99ULy7HOcI7qMc0YGeU/Les4RXgoARKDlM7Jg7bM1kTJNYJpGZubIj2fOvvI5RSrNIwhOeyKLb/PFBt9ZyoxuT47v/QbN+3tN09AtKYcjUpfLXByF3HoV1HXiUgmYppFPnHlWlSup5Pje/6yVEyec/q5rAi2rPvC6eRiK0w264UUdEwBgGLrWv+lBA5im+UZKJ815O0zTUC3vKE+7Kgu5QurM877YsntpztuOICixkE2F1ZBEUAAA5BzhQYK0hWaGXvlcrTh3xOHruMLmii7n3S3rGd5vxc5DlKhHnZ8XpmkYNlfTsGmaur955f3VwuxBDKdyFOuOB+Kr1/PulvXV4txhAKy4YpsrthInWU85O/Ha9JnffgYAYDoDXVvdoUVvQ3HSZhiaIpRTp8u5idequem9KEE7PJGBtwPT0HNzJ54u5yd3y0JhCpimqdaTrFCMYJz+rqud/q5rIIJRpqHJb3wuvSmsmN8/uk4ExQi7t3Wtv2X1+531FCtZKEyRtLPJHey9oW6aPtuQ1AFrl3MJmy1rg2MYmlzf6N/viy29R6xmh7Ozx35mpaI0ra4Xhih+ASkgDZimrhaSQy/6mla8m6DtkfjALd+wJHOBHtM0DamaHcFJzpcc3/14tTB3mPe0bIh2rfxUI3EExQjWHe67ueEfAgBEGr/5QHzNA8X06MvgHCbvsliadwW6vkbbrIa3K9B9rSIWZwjaHnF42y+jbb5uBMUoQ1cFsZYbk4XiNACmwdoDiyjW01YtzB0u5yZe4z0tG0jGGavkJncRFB9m+EAvRjBuTally9mJ14qZsR214uwhivO04SQXqJXmj1QLMwcNXRVZe3igTi3uSU7u/XY1P7OP97Ss511Na1S5lra5YqssY1CpgmIkX0gNvSSWU2/qU6MoprJhI/m71WuIzTgOCZaFHI4DvKcXG7j9Tvo9X3+s9uihA8ru2Rlt0m5HnFuuJG9gWWjrH8BXYBjACRwSAAIgy6asa0ADAJiKYiqyYkoYBvGf/0z8wZKl+Cpdv8hnGQCAIviIrJTnSdIerQnpU+Xa/GGXPX7ZxUS3LgSaoisQwsM7Hz/1j/H1wa3BPucKnMU4JSMlTj83/V9T+9KvqJL2llCspVpuVFOFgs0VW9nct/VLyYl93y5lx39v98Q3eCIDdyIowchiYSqfOP3rYnp4m1jJDGEE7SilR7fb3M1rKcYdB3/lQt9q3JgmABB1h/tvd4cW3VIrJY6lpw89KdVy4yTjbGb4wKJAy0pKkcoJFCMafnLwrfJLAcByT/c3L3/VHeq7WZWr6eT4nv8Uq9lRBMVJzhlZbve2bqY4T5ssFKdnzm77jFjJDNm9bZdHu6/4tL95xf2aIuRxgv22qlx44fBWQCgnT5qmofmaBt9Jsa54YnTnV2WpPOcOL77d6e+4wtA1qZKf2lvNT+8rpke2KVIlzfD+5/3NK97j8HVcgRPMM6oi/NWS7qCl3q/TsSAillOny/nJ3TZXbCXFutsc/s6rrOm7VZzhBOteeEPPNA2jcU+Zuq5KpWJ6eFshdfaFSm5yl1jNjmIE7XAFe28gaUesWpg5wLksQ3uScVwwu+BPQZCcDyOsdyjJOGIoTvKVwszBan5qT6Uwc0Cq5cYdvvbLwx2bH37D93HJzUpT1+QGc0nX5CpOMO5g27q/8UaXvB3FKLssFKacga5rGN7f+wcJNYQXYguBkayn7ucOFamSyifPPEuxrhbe3bLe7mu7zOnvugbFSBuEEGIE42z48p3zvE3D4Bzhw7JQmCRoeyQ9tf97lfzUPgAAYHhfl8PXeRXnjA4auiKkpg4+USvOHcYI1tPUc9Vn7d62TdHOy/5hdnjHo+Cv/Oz6U6hyLaupUgkA05TF4szwgR/dJVayIxAiKOcML/M3r3gP54ytKGcnXpsd2v6oWE6dIVlXM+eMDDZYSXXfootkP1tbLoighKrUcmNHf/EhnOA8dl/bZZ7Qols0VcxLmfyYzRVbZXnwYGRjz77gIxiG7g72Ziy2PkbUinNHZs6+/M+6JlftnviGYHzNhxg+0AcggkjV7IjN1bTaE+6/jWJdccsb0/q94ZYs8AIaPKZJsa5j1cLsAZu7eZ071HujafZcr6tSWSgnjslieU4op06JlfRZBMVpzhldwTnCS0nGGdM1uWolRxOcO9R3UyU3tRtBsCcutKlKcd52grQFaJuvGyIokU+c+hWECOpvXvm+Sn56X3b26E/LucldluH4yvfWny9RXZerqiLkSNoeMQxdaSgi3gzK3NwRJZU6jdntYdua1R+QRka3021tZYhhBEKRPLd0KUfGoiv0SjWlVyopiL51wUxvhr9ogwcAAMRqdswTXvyv8YGbHyNZdzzcvvGjhq5KtXLyRDk7+Rrniq5w+DquVOVqOj118AeKWJ4Tq5kRVa6mPZGBO2ibr9M0DE3XpLLlnC4WKNbb0YjiMy0j9opQSZyxzAkndxu6WhNr2THD0GTeE99IcZ52inE1g/OZ1tbNWE3TNKqFmQNzw69+RVWqGQTBKVew53rOERlUpXIiO3f8Z6nJfd9x+Luusf4OwVCc4i+1OP5zqOQmd7sCPddFui7/B3e472ZdUwUExShZKEyXMmM7FKk8hxG0E8UIG0QQHAKMtOI/O69CEJyulRLHMIJxlbJjO1IT+74jVjNnScbV4m9e/h67t21zKTP6ytTpFz+JIBjJe1rWq3ItV8lN7kIxkmX4QJy1h/pLmZGXFbE4E+687BFzIcUm+N+z7ihOOd6QHAQhhIjNGR3ESdbNOcJLOWd0uaoIOamWG6Ntvm4A4IU1eKxJp2GaplHJT+9VxOIsQTuigeaV97PO8LL09KEnq8XZQ4w92G9zRVc0JCwEY4/WNfYXmzgCUdyiLeuqXC1lx18r5yZ2QohgtM3XFeu56p+ttR19xdBVgbUHF0MEJevNrktKOTFNQ6+PQwxdU2qyUJgqJM88qylC3hnouQ5AAKdOPf/3pqEr/qbl99VPd0HTD9yKSEete82qFpy+9itYPtDn8HdeRbGuuCyW5qRqbpzh/d0QQTCUWLjcTZUryWpx9pDd07K+c8U7flJvdioQQljJT+2pFmYOoBjJ8Z6W9SiKMwBAhKQd0UjH5odRnOJVuZqq5Kf2GLoqpqYOfK+UHt1u6KrgDHRd64stuxslaOfEsV/9TSkz9irNedqc/q6ri+mRVyCCoCTtiDJ8wIeRrHf6zEufRlCcRjGCXUgMKwQQQTDij1iENOftiHZf+U8oRtrS0wefEErJE7TN2+X0d11Tl4E9L9fy47Heqz9X96EyL4XBAy02FoURjNsyTO+90TQNHcVIm83dtFpTxAJO2QIAIgiAEDYmwRcC0zRNknYcK+cmdjl8HVfw7qbVhq6K5dz4zuzciacrucndUi0/gZOsJ9i29kFfbPA+krZH6hHrJQBMg6D4MERQzLQCfYqaKhQI2hFhbL4ugrKFwHlS/EqZsVeT47sfj3Zf8Wna5utuWXTDv+q6IlTz0/ssM9f0WblWmNRUsYCgBOsO9dyI4YxTkcoJqZYbw0nOR3OetnpySLWYHtmWnTvxNIrhjFjNjpSzEzsbbE0AwJ7Gd4sRrDsYX/5Bf/PK9ypyJZUY3/MNinHEfAODjzM2X5eha3K1MHNgdnjHl0xDV5oXXftlqZodTk8d+L5Wj2N9Mxw6qO6enNBHvF4k0NaGdbs9iO/736t9ddkgseamt1HvEEVTCATQ8ONfq35hblaf8viQgJ1HnG4v4qtWzHIkgjYX8kZ2eFg7SRCA8npRvyiaAk4AYs9uZXu5ZBTKFfOizYB1Xa1VauNHnPaWzShCcCTO+VEEZ3BsYc3bi0H9XZ4FADyJkehTGIlSmqyLmqy/zkpBEIgYxqWw3gDQFKEgVXOjrD080DAYbe679ksM7+9JTx16spQZ3S4LhSkAISQoPkzbvJ1SNTdWSJ593u5p2eCJLL4NQdBHLyZE4Y24kFQmw1Al0zQNq8BFUMPQZAgR1O6Jb7Aa+NU0QdlC3ujSd8hieXbq5HOPWAcB8K0OpCjnJnercjXVSLKhbd725r6tH7J7WzfXSomjheTZ52WhMA0hgtlcTatQnLSpci1Dse7WSOdlf8/w/j67t+27tdLcEV1TqqahX1Qjsl4cu5z+zqtZe6g/ObnvO2LlzxubNyCLxRlFLM+TNB+SxdIsybqao/VkntTkvm9X8lN7VUXIIQhOkYyjiaTtuCJVRsq5iZ2uYM91dfbftkvZd1prCOFC1r4h0TJN0zRNQ0MwgnP6uq4Sq5lhValmy9mJnQzv7yUoexiAhadYAmDdb85Al1Q/Dmroqjg/+tp/IChGEKQt4I0uuYv3xNdLtezY1OmX/tEV6NrKOsJLkIuUj/wpUJx2oKglexIrqdMzQ9sfLWfGXlUVIU9znrZgfM0DnCu2QlfFIiA5H4Ao/lZ4/7yRwQMghKH29Q+5gn03yUJxupyb2KmIpVlXqO9m09Blw9REFCN5CACACEou9J7FSdZrNdpMA0KIOLxtlwvVzJAilucruandLB/oo23+HgAaLOmFFZ+WJDl12jLYRnGc5Dze6JJ3tC29/XZDU2r5xOnfiNX0WcPQFYb396I4ZVfkSgpCiHiiS+4kGWeTN7r0W6Xs6A7Le+ziU39RjGA4Z3TQFey5oZAaeqmcGduxkGeiLBanGwmTkpCf1FSpRLGuFl/z8nc7A91bZSE/mZrY9y1NFUsOb/uWQMuq9+OkLUAyjiiK03YALPbNpYaUIAhK4ATnsXvjm1zB3hs1VSzmU2eel6q5Uc4ZXW5zxVYBYA1i6+mJFwRVqeVUqZoiGUcUQIh4IgNvZ3h/N0YwbrmWH0+M7XqsVpo/qsjVNGPzd3siA3dKtdw4ghGs3RPfgKAYjVps+OkLOa4ilubzyTPPsc7IIIritKYKpalTzz9czk68puuKQHPeTk+k/w6bK7YSp/igVM2Ozpx9+fNSLTfmDvXd5In0347htCPcsenjhq4ICIr/3FhgEiOKEbQ3umSNK9R7o1BJnSmlRrZZ6pCmlcXUmefLuandKEbaWEd4iWnoaiOSvZAe+m1m5siPeXfLukDLqvfrqlhUxHPLwU1dV5SZ2cPABMCQ5Qru9XYgDOPSy+UEHgz0GYKQ1/KFSYAgqKmqoqG8dd6Bb4a/eIMHAAAKqaGXEmM7vxbu2PwwhlO8LBSnk+N7v8m7m9aYhq6UMiMvp6cO/gAjGLcvtuweY079OYpTdt7dtIZinC3F9Mi21OS+70hCfoLh/b3xxTd9zXKDl0qV/PS+7NzxnxVTQy+Zhq54Iv23u8OLb5sffe0/qvmZ/VI1O8o6QgOcM7ocALDzXOeJIHWXcUNXy7mJnfnkmWcdvrbLw+2bHyZZZ1MlP7k7nzjzrCwWZxg+0OsKdG0FoC6Zqrugg0ssjv8U+flTv3L4Ora4gj03kBQfTs8c+ZFlxFjL6Loi2JyxFb7YsnsJyh7SNaUiVbMjUi0/VsqMbK+VEsc94cW36rpSmzn78j8DAGEwvvbDzkDXVoxgXMX08LbE2K7HeFfzWoe/8yqhlDheTI28jBK0Mxhf+yHWHlw0duTnH9A1udqIZ0TQhdNC/zesO4ZT9oa5sSpXUvnk2edqxbkjrD3UT7HueK2UPJGa3PstVRZyrQM3fx3FKdtCGSEAWFKpBisCQVCSc0aXh9o2/B0AAJTSo9s5Z3R5oGX1BwAwDYK2RxoTAZJ2RCFcWFrXn4Pl+m4xzKzYV6VGUPaQN7b0bk+k/w5rLfZ8A1gNrZUAAICiOF1PZbnUBo8GgDWdTIzv+YZYTp1y+DuuCrau+xtFLM1MnHz247Xi3BFPuP/2131jIAQLSbvCcNplRXGbhlTLjefmTz6jiKVZuye+EcNpZzk3uSsxtusxknZEmxdd9xUIUfxC/IxksTSbHN/7TXqxp51zRldoipAbOfTUuyr5yT26plQNXZVbl9zyDd7dshYiKCYLhUmxlh2t5Kf3FNPD21CM5KPdWz6VmT36k9zciZ/bXLFV/uYV72HtoX5FKidmz77yeUUszQfiq95P0s6m9NSB76tKLWP3tG6Kdm35x+TE3m9mZg7/CMMZp2moEoIw7gVtIi37nD/6vUi13NjEsV/9Lcm6mlk+uJhzRldItdzYyKH/vk+q5cZNw1Dd4cW31b0cgNWINC6pSLS06AhaK80drhVnDwqV9BldlSuMPbDIFey5jua8HaCu08CJC2/wAACAIpWTmZmjP+ac0UGcYFyyUJyZPPn8I0IpeRwnWZ873HdzoHnlexl7aLEqVzO5+ZO/KKZHXq4WZw95wotvDbaufRCBkKqVEidzs8efYh3hpS7aEYWIRSk/X6NetySgTxKMI+ZvWvEeFCMYXZbKmdmjPymmh7epUjWFEYzbFei6NhBf/X6GD/RBxGL1QA+yXpWrqVJm7FVFqiR5d8tanLT5UxN7v1nJT+3FCMbF2gN9nDNSrpUSR01D1xEUI2yu2NJg67oHnf6urQAAUxYK0+H29Q/hJOdXpEoiN3fimXzi1C/L2YmdKE7xTb1bv4gRjHt2aPuj5ezEzvMVAbWaUV23nnzy0//E/wdNA8bhRNzBIBp99POVT9xyK32vrgPdMEyjuxtffOaMdny1i3BDCMCZU+pRux1xDVWNE2fOaMeiUTSez5uZyUll5Jqt1K07tsvPd3Vj/f4gGjl+XDp4MesNAAC6oYoIglGF0sSrLnvrFicfv0zVhJyi1v5iSRQIAhGCw3nShjvsIZZECYTCSJSKLffRGIXSGInSXdfEaGeU21uYqV60l4tpmma4Y9MBd6jvZs4RWcr2hx5HcZKTa4UpzhlZJlRSp03T0Fl7cBFt8/egOMnPnn3l88XM8MuSsGrSGei+rpAaeglC5ODFxGYjCIazjtBSV6g3hGLktvNR0QEAwNQ1qX7qhlhJnUlO7PtWOTe5SxGLMwBClLWH+v3NK5YauiYWkqeeVeRKCgCrvwMXGFKwUKhSJVnOTuz0RPrvoHl/D826W1lHeImmiDkExWm7J77R0FXJNHQZohhFc95O1h7sN01DVcTSnM0VW2n3xDeUc5O7iunhbTZX7JQsFCZVuZpZSOMEQXGKoGx+Z6B7kSfSf7vT33UNghFMnQXx0Ln+VlPFUq00f4xinc3eSP8dvtiyeyBEcKGcPME5I4O1cvIES/Eh2ubrZB3hpWIlM5wY2/nV3NyJp93hxbd6Iv13COXUKXCRRtsYTtmc/q71uq7UEATdfb60Rggtj0AArPf72OGn3ycJ+QkAIGL3tm12+Nq3SNXcKAQIQtB8CMUpe31fvNAkWxEA06xHhgdIxiEHWla9zRPuv03XlWohNfSSXMuNU6yzxZIGWQw+kr50Bg+CYESDuZKdO/50bu7ELyBEUE+k/7ZgfM2HdU0qzQ5tf5R3t6yjWE8bBH9I3boUmIahNmQ6AEBEKGfOlDK/elWVaxnWHup3h/pu1lWpPHXyhU/iFOcLd2z6BLTOFas3S8+7X2s02lSpkpw4/uuHKvnpvaaha4w9uDjUtuFvNVUqStXsCMW521CM4JAFWk7omiIG42t2OH2dV9M2b6euyVV3qPcG0zQ0w1BF1hleyvD+bkNXJYAgGEHxQd7dsg4AiKhSOYERjLOl//p/E0rJ44XU2Rcd3rbDkpAfV8TS/Pl+iwA0pPOMi+I87ZGuLdd6I/23E7Q9YnPGVgxZ98X8+T7DGhjWTaVNU7e5mlaF2zd+jLUH+xtWFv6Wle9VpXJSquXHZbE4YxiaywlX2wAAIABJREFUzPD+7oZXEURQ4lLZXLyndYMz2HOdzdW0CkVxtpyf3oOgOOX0d11NMa5447eJogSL4heuGFHlaloWS7Nk3ZYBAABz8yeeKaaGX5Jq+QlDVwQUIzlnoOd62ubrSozt/BqKk7ZgfO2HAbDqY5xYuLF3A4ahq7TN+4w3MnAnYw/2IwhGcY7ocpzkQw5f++W6JlWKqeGXsvMnn1HlasrQlJplk9J6md3btrkx/KVYd2us5+rPEbQjSnHup+RafuLNns8QQTGa83SE2tbf5Gtafp8sFKYVsTQXal//kGmaejk3uds0DZ22+bpLmbEdEEEwb2Tg7Swf6Jsffe0/srPHfgoRhPDFlt0NgGmIleyIporlc12nXq1mAIqgEEUweWp6v6kqNaMm5BCadmqVcgL3+bpwj7tVnp45oMzOHjK1i29mLhR/lQaPrslVnOS+RTKuZl9s6d0U52lr6rnqswBCVKrlxuqpJkCqZkdmzr78OVWupiFE0HJuarfD33UNRBDcFey5vpyd2IWgOImgOFXNT+9NTu79ViE59KIqV1IAQsQdWnRzML72wdz8iV8IpcRxw9BlTRFyECIY54qtPN95YgTtsiYZuioLhSm7J76xue+6r1Ccp92KxxOLzkDXNSTjbLaimP9gSoviFF+XbL2lDR5FKs9Pn37p0xDBSIe37TKHr32LUEocT03u+y4wgSmLpbm54d99BQBgNjYLUi0/jiAY6W9ecb870n97eurgE7y7ea2/afm7WUd4SXrq4BPl7MROXZMrgZbVH6A4d2tyfM8384lTv0Yxkgu1bXgoEF/1gWph9oChq4Ir0H1tpHPzIzjF+esNgAXhf8O6ozhlb2w409OHn5Sq2VF/84r34CTrTU0e+H529uhPa+XECZJ2RFW5lsZwikdxasEP17rExoQIgnljS+8Otq57kKDtEaGcPIUgKCHWsiOJ8d2Ps/ZAX6Bl1QcaMiWC4kMNg9WLAYoRr0eHGoauELQ9Euu56rPeyMAdqiIUFKE4440uuYux+XsacZuI9eLggTW1vgRYD91yduI1oZQ4Fmpb/5Az2HMdgmC0UE4cd/g6rvTFlt1r97RueoO0ES5Eqo8SjBNABDUNXUmM7foagmBkoGXV+03TNOaGd3wpN3/yGamWn+DdzWvrFE+s0TRb0JlbBfXTOMl6Ip2X/T2G085gfPUDmlLNVotzRwAAoJA881ytOHfENA1Vqlrx1JoqlRibrzvSdfknNVUqy7XceKznys+4gj036Kpcnh3a/kVZKExRnKetedF1X5Gq2eG5kd/9iyKVE7y7eV1T7zWPMnyg1xzf/RhOsO5o5+Wfsnvbt8hCYQoiC2v0/WGzCSGKkbzd23a5O9R3M2PzdxczI68kxnZ9TRYK0xhBO1hHeKnT13GFJ9J/R6MBZpq6bixAgnnOc0Aw0jA0OTm+5z+tzUL3tY6mjishRNBqYfZQKT26IxBf8wDD+3steSSKmRfIPDBNQ8dw+pfuYM8NrlDvjQTjiITbN31MquXGOGdkGeeIDEpCfmJueMeXS5mxHbXS/DHTNDRvdOndvtjgfaZpaOmpg09mZ4/9N+9pWe/wtV1eZ8uBNz7TzwVFqqQJmv8ChAjmiw3eS1D2UFPP1Z9zBbqvl2r5MZJxxBg+0KfK1XRm5shPZLE4rYilWUWqpFCMYG3u5rWMzddVTA/9VqxmRyjO0+EK9d1MW5Isf3r64A+kam6U5ry+SOdl7/CE+2+lbb4e6/p1lbEHF1Xz0/tK2fHHK7mpPbVy4oRpaDLJOJsiXZd/yuFv35Ka3P+99NTB7y9kowwAAGOj2tli0cgFglh4dkafWL2G2DQxrg8XCkautw9bMjerT7V1YD0kAci9e5RXH/oo91lRNIUTJ7RDt91O3ffcs9JTFAWZeBztePpn8hP9/fjylha0fcd2+bnLryCv/68fGI9fyDq/EaXK9C4AAJCV8hyGUnanPX6ZqtUyhdLEqxf7mW8GnMLo8BL3unUf6tvkiLKtJgCmUlFLJI87CAaz0Q7SA0zTLKfEWdZN+aWykgeXaNZbyU/t1XVVxAjaaRi6mp058uPc/IlfSEJhSqrmRgxDUwxdFRSpkhIr6TOqXMvgJOvRNbli97Zubll8w7/lE6d/TXHunylCcWaha45iJOeNLrkl0rn571Gcdowf++VHIIQ/O19jwzCsFC0ATLNWSp5IjO/+OoQQoTlvhze27B5noGurrsqVqdMvfDI3d/IZvMHWgxBBL1BecD7omlLNJ07+0uHvvIrlA4uSE3u+kZ07/rShq+Lr/+rfB815WgPxNR8yNKUmlJMnFbmStGRFrZtcob6bXMGeG1SpmhQqqTPl3OTOaNfl6OsN8DdB25JbKILmg7TN342iBAsgRBEEo1l7aIk1jHhzHz1dlUrVwvR+d7DnBpzkvJoqlmaHtn+hkp/eJwv5CVkoTEGIYLquiUI5dUaopE+bpmnava2yoSs1d3jxrRjBOH1Ny54pJM8+b8UuL4iJAwnKFoh0Xvagv3nlexWpnBja/8PbwfnkMgiC1RnMpiKV56vF2UMExQcD8dUfdAV7ri8kzz6fmjrw/aaeqz/nifTfDhGUsPbV4JzFUQOWx6KpYzjt9MWW3YtiJOcK9d0MTNOsFmYP2j3xjQrn7ZTF4rRpGjowTQNAiBIUH0RQjLgUBoiuyRVDVwQIEVwRS3MQIqi/ZcX9wfiaB0rp0e3pmcM/pBhns93burlRbF/KEO71azZ1tZ7gC4Bp6Ln5479wBXuvD7Ssej9B8cHs3PGf5edP/QonOZ8r1HNDY18HIYIvlOVdb8pBTRWLlfzMPkNXJW906TsC8UY4xQuf8kSX3hVuW/8QgAjSaOItBMX08G+FyvL7WHtoIDV14Psjh372XtPQJL1+79V9GU3rdzr4TgSihCwWp8VqdoS2eTu8kYG38+7mdTZ381pdFYtiJTtcLc4cDLauHWftwf5zHbt1yS0YRrBu2ubtIChbyDRNHUIEY+yBxai1rzlvgwfFSJsleYIQQgRzBXtuIChboFaaPyoLxZlaOXG8Vkoc1+RaxuaKrXSHFt2CEbSzmBr+rTPQeQ3FuuvNl0tr9rnDi24xDU1R5VqmVpo/JlVzY1ItNw6txFF/g8mNYgSLYheesqtIlYRcy42brtgqBEHxueEdX8rNnfi5aZomRFCU4QN9/qbl7zENXc7OHv2pw99xtS82eC9B2vwAAICgGIXhzB81eKDFxkbqw8E3fe6IlcxwtGvL01He14NiBBOIr3q/FX5hqGI1PcR7WtYpUjkFAURUUEkCABHG5u/GSdZrGrpsANOEEMFIxtkU677yn5z+rqtL2dFXHb6OnbJQmNRUoQAAhDjJehmbv6e5b+sau6d1I2MPLrb84DGKc0aWmaahi+XUKRQjmNz8yV+JlfRZZ6DrGl9s8F6xmh2dOP7rh2ql+WMAQBhsW/sRm6tpjWkaWrVkWTOcC4Yg5MWh4W0IRTlQm82nJpOnIIaRhixXMJezCcFwShwa3iYMDf3WkKQFPQ8vFX+VBg8AAKhyNUuxri9ABME84cW34pQtCAAwEQTFa8XZQ7qm1BpaYgyneF/T4DvD7Rs/Zhq60pDQ4BTndfq7tqanDnw/MbbrMamWGzMMXUMQjOBc0eU2V9Oa8eO/+kglN7nbSkrouArWDXQpxhXHCcbV8Lr4c8BJmx9ACE3dUBWpkoQIipcyYzsKqTPPi5XMkCJVEhjBuILxNR/SdaUmCfkJknY2oRjBYDjtqherb6mW2zJzQ06NH33mw8HWtR/2RBbfHu7c/AjvjW9KTx38frUwcyA9ffBJ0zDUN95ggZZV7wp3bPqYVM2O8u6WdZwzPAgsKaZM2/w9BMWHKM7bIVZSp6dOvfAP1fzMQd7dvMYdXnSLUEmdqRbnDuXmTz5j97Vf4Y+v/qAle+D8GE47L4TK/T993VGM4huUcZrzdDj9HVfVivNHJ47v+6hQSZ1CUZzhHOGlDl/nlZbpF4QoegENg9c9TSDC2sNLaqXE8fT0wS+U0qOvKFJ5HqIY5fR1XsXY/L3WC8/XiaI4Y0n+Lt6rwEqDaGwEIOIO9d3k9HddrUiVpFjNDFdLc4c1RcibQUPj3c3rAGK9ODCM4s/32edFvUnF2oOLOWdsJesI9huaKkhCcQZAiBAUH6Rt3k6SdbW88Y8W0uHBcNpRb2RA3t20hrGH+vOJU7/OTB16UpbKcxhG8ry7ea07vOgW0zQ0BKL4hSbcGbqmoBj5XUUszQXb1n3E5mpa3T749h9mZ4/9lHNGfiHVcjutyQ4wGuk1JOOMNS+67iuMPbi4nB3/Xbh908cp1tVimIaGYgTHu1vWUU2D9yIIRqenDz6Rnjr4A12VyuHOyx42DU0tZUZf1hQhq0qVZLhj8yMEbQ+rciWB4qTtQg31MIJxN/dd+yWMYNw4wbpVuZqxuZvX0jZfl2noKjCBqSq1rGloSrU4e8hBMC4UIznTMNTXqeIXCQTFKBQlGJrztHmjS94BIYKmpw49KVZSpzVFKKA4bXeHF98KYaAPohhZL/Yu+GWnqWLJ5mr6Msm646w9uNgTXnyrrslVoZw8OXX6xU8V08PbFLE8Z+iqjKI47Y0uuSvSuflhRa4k00MHvicJ+UlvbOndnCO81HyDLO1ChA6KWE7iJPf/CeXUSW906d2MzdflCvXdCExDr+Sn98+N/O5fxUrqlGI1rjGa83W6Q3032b2tm826maPD33mVLzb4ThSn7MA09Wph5mBifPfXVamSCLau/bDl/xVZZhVVpilWMkOpyf3fLaSGXmiY4BuGrqEYyfG+9nXh9k0fZ2y+7sTYrscSozu/eiGmhEsHiTUtcbTjR/8l/Of+fcrvA0E0snoNsTmTMRIUBelQGI3NTOsTGzeT14wMa6d3bFeeW7Ua37R/n/L7UsksLBsk1v7uVfkFVcFlXQf6k08Ij69dT2w5dVI7kkwYs+EwGgMAjFzQQtchq9UkRfARBCW4UnVmL8v4elGU5JG3WO5jD7PNmz+6+BOednufKmoCTmNsNSPOAwCAKmi1zHDpOMUTLoxC6dJcbRKnMTZ9pnjkUo8rVTJDxfTINneo9yZDV4VieuTlfOLMs6ZpGDjBOD3hRbe6Qn035xOnflXOTe5CUIwKxFc/wLub10KI4jZX02rWHur3Rgbenp079hRrD/5GFkszpqEp1u/bNCz5JUQgihEYTjkp1h1v7tt6qzu8+Fac5PwAANMTGbi9lBnbAQDInOt8TVPXLFd2iPDupjVWMWoLOHwdV5iGruTnT/26kp/aq6linrZ5OgyjIWuDCHIR8oJzn4thYATz+3Ju4jWbq2nV3MjvvqJI1T86f4ggKIISjM0Va1HE0qyhK1XeHd9A0HxYkcrzc8M7vlwrJY45/Z1X+5tX3E+yrrg1PbaiS+t+VjYUpx2maaiW5FMsqXI1LVazI/nk2eeFoe2PqnIt4/B1XBHrufKzCIqR9QL8TRs8hqGrNmf0FSGWuZux+XtV2TJEF8rJ0xAiCMk4or7Y4H0M7++ZH9v5VV2TKjjJeTsG73iYIPkgRBDMFey9kffEN/piy+5JTx16kuLcuzW5ljFNQ7P8Ck0DANMEEEERFKdxgvG4Q339vtiye+y+9i2NdDGnv2srhMjIuRpSyB9YvhBBMIr3xDeE2jY8hBG0a3ZoxxcLybPPW80Kq9hFEJTAcMYJAJhc4Fpqhq4pCIrT3tjSuyFAUF23mnGF1Jnniqmhl4DFqrkDQhSTxeIMxbpaUJzk655uF52qp8iVlKaIBYiguK7JFc4ZGfTHlr8rN3v8aV1XaqG2DQ+ZuiqJldRpmvO0W4lTBL0Q5vE5r9nQX2fw4BQfaF50/Vec/o6rpGpuLDV54HsAQiTaveUfOUd0EKc4f4MpAuHrDJ5zAkExYtGGB+zW3yAYaw8NeCKLb2P4QF9q6uAPsjNHfqRIlXRz31Zg0ahN5EJsCGShOJ2ZOfTDcPumj2MYZasW54698f8hRBAEQTHGHmwxDV0p56f32lyxlQ5fx5W6LlczM0d+XM5N7iIoWzDcsfkTdk/LBps7ttrQNQlCBNVUsVCXBnoAhFDXlJquSiVNEXKSkJ+sleaOpKf2f0+q5SdIxhFtWXzjvxMUH2oMkM8HDKcdDXm7aera/Mjv/3XmzLbPGLomGYamYDjF856W9eH2jR+jOW+7UE6emhv5/b8iCEY6A53XNK5yod/XmyEzc+Qnqcl931alSlLXFQFBcMrubd0UaFn1AZrztJmmrpomSiAYwWF1adiFQNfkWqhtw0FXqPdGFCO5BluboPiAv3nFjb7o0nuqxdmDtdL8sXD7pk+QjCNWLcwcxEmbj3c3rUYxiuc9LetYe2gYAMPAcNrhiQ40kRQfEquZYRQjtuma8qb7x+zs0Z86A13X2FxNayCEsFqcO5Ka3P8dRSzNymJx1tDUGoqTPMMH+rzRJW9nHaEl5dzUnnJ27He6KpXsvo4tdm/rZgTFSEtmFV2ptYjvs5qIhgqs8QGBYiRnMQct7yAATJOg7GFVrmUruYnXkpP7viOUEsdJ1tXS1Lv1UZJxRNMzh3+cnz/5C0WqpHGSdXnC/bcHW9c9WA/+mStnx1873/dbT9UaRW2279CtrZvJpqZVEMdpQxSLAIFI9ejR/1bT6WFT+9Pggb8c/moNHgAAkGr5SZzkPiFWsyPB+JoPkbQ9bBi6UisljhmGVVhACCHvbunnnNHl+eSZZ4vpkVcqucld/uYV7w61bXiomDz74uTJ5/++QSNGUIxwBXuut7liK9NT+78rVnNjnDMyiOG0Q6rmRi26F4QYQdkJxhEF52jAEBQfhAAgpmloqlzLlDKjrwIAngMAAJpzx12hvpu80aX3MHygJzNz+MfJib3fbO7d+kW7t3WjFQtIXnpx/GdQLyInEBT/h0LyzHPu8KJbeXfLutaBm78uVFKni6mRbaXs2Ksoih/W6wUa72lZj+GUwzQNXaxmRhh7YFFm+tCTpmma/qbl9yE2b2dm6uAP5kZf+zdFKs1TjKtZ1+RKdu7YUzhpC8i1/KRYSQ/FB25+rFacO1zJT+8jaXtEKKdO17WmC6aC/09edxQjbY0iweHruCI9deD7heTZ52mbt9MV6rnBNHRZFkqzQjl5Ip84/Ztg65oPXYi5HYKgpLUBMI1C6uxzE8d//ZAsFOdQjKB5T3yj3RPfoMq17PixX34EIhjZterenzM2X6fVmLj4SecfGeWZAIiV9Nmpk88/IlTSZ2WxMO0K9t4QaF5xv6oI2dTUge+7Q4tuRuoPxos9JgAAQARFF298gIAAAJu7Zb2mCLnMzNGflDKj22vF2UNiNTtK0vZwy+Ib/k0RizMIgtMEzQfhAjdJGE7ZIUBQACFq97Ztnh997d9rpcRx3tu6iWJdzZoqlhSxPF/KjO2gWHeL3dt2+UJf9G+Ersk1AMDPKcZ5wBXqvcnp77ra1zT4Tm90yTtKmdHtxfToKxXL02jGNA2ToGx+y8OqmtYUoSCLpVnD0JXU5P7vukN9N7tDvTdWrBj3TxfTwy+jGGnDKT5QLUzvl6q58WDb+o+kpw/+wOHvuMrha98yO7T9C57I4ttN09QNTVmwqR0Alhad4f09pmkaqlLL1sqJY7Xi3NFaKXlCrKROi9XsaOM+Iml7sGft/S+y9uBia3OtntuI/nzHRgnOHV50S32a+0Jm9uhPGskINOfpIGhHBCctw2MIEax+L13UNKNanDk4dfK5h5sXXf8vDO/v0VSxVM5P7UYgirv83VsBACDUug5Eu68Iu4J9N5azEzvLuYnXWHtowBtbek+tOHd48sRzn/A1Db7TE+m/HQAAGs+jhaLulfN1guafcfjatzj93Vvt3tbNNnfzGoYP9Arl5ElZKs2RtD3M2Py9sliareSn9wJgAoJ2RAiKDxIUHwLANIVy6nS1OHcYQVAcJ1mvLBSm5Zp9guWDi1S5kiwkh15MTe7/Tjk3sfv17xsjWae/87Lmvq03uEN9N2uaXJ45+/I/Z2YO//Bcm60/hcOJuP79q453TU/p423tWPfpU9rRfN7IcpzOb91K3bJzp/LyLbfR99lsiD0YRCMf/hvuU6YBDI8H8X/28/zjKAqxgSX4ylWriY2FgpHr7sX7FdmUdR3oH3iAfbitDevatJm8BgDwyoV8vw1wjK8v6F1633z64HcI3BakCHsMANNwOzu24hj9hKqJF+3v0wBGoMSmv1v8d/H1wa2Jk/kDlZQ4i9Momx0tn+SDTIy04Q5NMWQEgzjjIL26aij+TseS6f3p7QCA5KUcW1Vq2cTYrsfqBpPNvqZl71Tlapr3tNSaeq+52xNdcpdUzQ5jOO2gOU8774mv90YG7rSmvaOv6JpcoW3eTs4RXhqzB/p8TcvfVS3M7NdVqWyYhtZIn4QQwTCc4qm6jAlFcVaopE/LQmGKdYQG7J74Jop1NYPzNHjqaUImhBCSjDPWOnDzY7qm1Mq5iV2W0XfTKm9s6d04yXlNXZXGjvzig3UdKbQaHxj+ViQQNaApQrG5b+u4LTJwp82KYH4ZACtBxeZqWhVoWb0YQVCC5rwdFOuKc66mVQiKUbm5E09PnX7xH3VFLHijS+5y+DuubAwoDF0V88nTz5Yyo9sBgEigZfX7DV0Vi6mzL8picVqq5celanZEfUMKF8152nhPywYEwUjTNA3DNM57jdXi3OH01MEnYt1XfoZkHLFAy6r3c87ID9yhvuZAfNUHOWfTylJm5BWKcTXrqlzxNw3ex9rDA0I5eUqsZoZMYJo2V9NKu7d9C+9p3VQrzh4SyqlThqEppmmopmFopmnoCIKROMG4aT7Qy9h8Xaap67Xi3GGc4vw05+1wBXuuT07s/RY4h4kqhjMuiFiDI9Ye6m9fducTteLs4fFjv3xQrKTP0Jyn3eZuWcvYA30AAAARFG8YFy8EpmnqpqHJECMYCCAsZUZfycwc+UkhdfYFTRELrD24ONy+6eMQQbCpU889YnM1rW7qvebzCEqwOMUHwCU0eAxNrhqGKlrME03iPfENtXLiOE7Z/ARE8OzMkZ9ItdxouGPTI6/LZTCCvYCQsDe5ZkMzTYth5gx0XYNABIcIiuMUH4x0XvaIpgp5RSwnUJyy14pzRyjWHccIxgURBF9IgwfFKDuCYBSEEBI0H4wP3PQ1Tanlps/89p+K6eHfkrSzyRtd8vZgfM16iCC4aRgafmE+k6rT3zmEYDjjDHZfDwB4vcFD27wd/paVmyFEUIpxtVCss4VzxpYTtD1aK84emjz5/MPl3OQuh7ftcnd8zYcaTRxgmEYlP7WnkDzzrCKWE57owJ005+3MzZ/4hVwrTEpCflKqZocVqZJsDJsxnLJ5Iv13NPYXpqkviM2FYiT/Bk8bU5HKiTrTlnH6u7b6m1e822JtYaSm1LKGrknh9g1/R3O+zsa9AMCl+bABAIBQmj9WyU3tAQAAhvf3BlvXfph1hJeUM+O/S08d+B5jD/UHmlfcjyAYgREXNmhvoJwde1WVhRyKkZw3suQuDKMdzmD3tU5/11ZFKs0StD3ktfneUclN7Zk5u+0zGMG4m3u3fhEAi90ciK9+wBXsuwkAExCkzQ9RjILQCvAZPfLz9wEAfvNmx5Zq+cnE2K7HaM7TgZOcF0UJtuGZaHNGl9vD7bc6vG1bWEd4CYJipGFoCk4wLoev4wqCdkQIkvMZhqbUKukzFOtqAQCiOGnzv1EmaVl4yJVKfnK3IlUSDl/7FYpYnqvkp/cVUmdfKKVHtkEEJf3NK+/3NQ3eVyvNH5s8+fwjmioWSMbZZPe2djf3XXuv20qj5iAEoJA8+4JUzS14MKVXKhkAwFMXsi5/KfxVGzwAWIwOFCP+vVacOxLp2PQJzhlb2dx37ZetjtmaXzF84PeKVJ6fOvXCJzVFzOuaXOPdzavdoUW3mKZhFDOj2/9Q5OOUJzJwG8sH+4Vy4rgnMnAnRrDuSm5yt6aKRV/T8nfxnvhGXVNqpfTodrlWmDjXuRG0PWzFrxq6pgh5BMVImvN1esKLb+1cee91NOftQDGCNU3TJCg+aGhyVVVqGQDqXi5vQcz0uWDoqgwA2I7i1AGC5PwEbQ/7YoPvDMbXPOBvXnG/LOQnmnqv3lnOTuzEKdvLpfTIK4ahK65gz/WKUJzJJ079WiinTucTp35NUDZ/JTe1V9PkEmsPDUCIIHVpy7pAfM0Hq/mpfd7Y0nfQrMfS5CIYNXXqxU8W08O/vVBJBQD/M9cdQgRGu7bYGy9rBEFJZ6D7Olew5wYUpx2yUJyeHdr+hVpp7hjJOGOcMzIIAAALlcwA0GCcICgwTUMWijMQIpgr0L012n3lJkOTK+Xc1G4ADMMbW3a33du6mWqYBVr74AUzhf4UKEqwDbmXCQy9kBrehmIEwzkiS2NdV3waQXF6Zmj7o9X89F6SdcUdvo4rcJLzXqwvyh+Oi7MQooQJAGg49ZeyYzsMXRUxgnG7Q4ve5ostvVtVhOzIoafeFYyvfsATGbijPgE5504JQgTtXHmPo2Fmh2Kkzde0/D0IilMYTjsruYmd86M7/10S8pOcI7KM4f19oF5RXOz1SEJhGiLo17Ozx5+y4hujKwLx1R90Brq3qnI1XSvNHwu0rPw9ilNTUydf+AdFriRpztPOOsJLSumRl7OzR35STJ19kXWElypicbpWTp1CrbSA5UIpeVyq5sYD8TUfJGlHjKAdEXd48W0EbQ8FWlZ/oJQZ2Z6c2PMNWSjOXMg5m6ZpKmJxOjt34hfl3MROVSrPq4qQe31KSLJuinW5AQDQFerbSlB8yDRNU1PFwkLN694MrCO8hOEDfRBCiOGUwxtd8naIYFR9mk0iKE7VqdMAQgSFyMIkUX/2Og1DRxB0++jhn90f6dj0cd7Tsj4YX/Ph/0sLDyGqKULO8jDxdZWz478fP/bLB6Vafpyk7RGCdkQZ3uNqAAAgAElEQVQBqG8OVKl0MYalilhOQAh/WEiefY5iPe12b+smV6DrWtrm77K5m1ZDiKCKVElJtdw4QdsjJO2IEpQtqKlSqZQZ3VFInn2hkp/cJYvleQghwtj8PZ7owJ0k7Yimpw/9Vz5x6ldCOXVa1+QyipEsSdsjdm/b5q5V997E2PzdAABYSA29kBjb9bhQTp28kOIZwyB6+x30LfFWtPO73xb+bcUKYv3gcnytrgPtwAFlF0AAXLWa2ORwQJeuI9r+/cpr42Pa2YlxfaSQN7J2B+LyepGA14v4cQKS6bQ+DwGAHIfwDifiZlnAzszok6dPq8fOfzZ/HhThiAFgGpJcnAx4Bu42gaFhKMk7+eaNslyeAwA8fbGf3YCnje+LDno3zR3N7jJ0U+eDTKw0V5uw+ekIxePO9FDpaCUtzmVHiscbG/uZA+kd5aRwQaaTfw6maZoIiu1OTe77drhj88N2b9tm2ubrAqapoxhl15RaFiMYN+eMruAtvzFHZvbYf5cyo9vFSvosipGcO7TobRazgLKTjLMJJzlfvYlKv/GeMAxdVaVKspQeeSU3f/KXVroN42ofvPNJknE22ZzRFRAih85TPLxuyG7omiSLxVlZKE4L5eQJ0zR0guJDJG0P66pUzs2ffEZTxXxjeICgGIVgOAMAuOSm3BshVFJnUIy0hds3fszp70QQjGBb+m/cwtpDA7JQmMwnTv+mVkocC7aufRBBMMI0DFUWizOcI7zEExm4s2EOjRGsp5QdezU5tvvrtdL8EYYPLIp2bfkUTrLe8aPPfKiYHnkZJ1kv6wgPNNKiIEQQmvO0u8OLbpCquVFVEXKmqasLMWw2TcMgaP7HNmd0hTu86JZAy8r3uoLd1yLo/2Hvu8PsOOtzvzJ95szpdXuTdrVadcnqsuVu2bhgIIADGEIgIYQQICTkEnJzuSRASG4ggcR0YpoB2xh3S7bc1XtZrbT97O7p/Zzp890/ZlYoYEmrlQw8id/nOY8e7dlz5puZnZnv+/3eQosIUazhPlO84a6tkbZV77FtU588teNzzr29OsNwcjzRs/ljoealcQgxI3oTy5w0P5qHENPnnnvL1OuaUppMj+35lsNMz5z0RXtv7lx6+79wYrBLkKOLAAB7zjdW2k2xhBBCmhVDtmUo9fLMYW+wc1Nr7/WfFuTYYpqVIrOFB9cDb+5G6MS2ZtlejWpmcOLEU5+plab2Y4qRQs1L3xptX/O+Sn70pezEgfstS687i01Hasg47PB5AyKKhRAzxDI1y9RqpdTgE2WEt9u2qZl6oyDI8YG2/ps+x0uRhbO8bIQZcU7a8gvtshPCYQEAAMa0QAghtm3qxDbUXPrk45ahln3h7muzkwe+n5868tOuZXd9lWKEAIQIzSl5lOZ90JUeY4r1UIxlFFMnH+eEQEf38rd83eNvWUNzntgsQx24hv6Xsg+6Vk0ZanUm0rry98Mty4cNvZ51mtB3bQTEtgozJ35RSJ98zB9ZeKMc6toCgCMZwhQjdQxs+6In0LbOtkzFNJSi1ihNzIy++rVyeugZiGmuqWfLJ7zhrmumT7/wz1NDO7+AMM0JcmyAYsSQrlZTzlyD94Vblr+N2Lau1gujnBjsInOUqSKKEf6rNBtCwRPp7Vx21yd94e6thNhWKXNmB4QQyaGOTXKoY6PWKE4WUicek4Pt62lWCrvyqcsK2EEUKyFMcaGmpW9JdG/6KCeFuquFsVcohvdLTOtVghxdNFt8phghOFf/pXOh1LJDlfzoi5zobwsk+m/3RRdcDyFmDL2erRYm9hRmjv+8Vpzab9uG6o/23tTUs/nPeU+kb9ZUHUKEOdHfDoDzzHKKk4DQrCfijy68GVPsc+fzcCPEtjDNPir5W9bEOtd+gJfCPQtWv+N+29QbFCsGMcVItm3pSjV9UqnnzyiVzEldLU/xnkhfuCXw9nJu5MXC9NGfsWKwK9K68vcLqRO/UKqZQcnXvNKRYiFcSp96Kj919EGlnjttm3pjNo3L0GppYluGFGhdk+je/Oec4G/LTh78geMFuuRuf3ThTRBhxjK1ar0ycyQ1uvu+WMfaP7QMtZyfPvqgZaoXTNACAACIEEKiGKYD/jY6Gu2jAoEOYBNrlrmDJSlM+f2twLZMs1xJWrVa/lLO3XzwGy/wAOAYc0EIn2pU0iei7avvDSYG7pLDnVfL4a6rDa2WrRUn99bLM4fVen7YG+4aJ4Rok4Pb/w9EmK3kRp4HAACK5uVgov/mcMvyd5q6Ugy3rngnRfN+01BLgfii2yia9yOEWV2rpbITB+6fPvPiv1zMJInlfS0AQORW1PVwy8p7mhdc/QlODHQBiJBt6Q2tUZo09Hqu6qQ2ne12Q4SZS1n4Xw4sQ60CAKoAgDMUzR8qxXpvCTYN3OUJtK33BDs2NPVs+biTPKVWGF5OaPXiWGp0178jzEqeQNtaiua8UqB1raMth8hZNDCeeNeGD8/GJXr8zasholhdq6TyU0d/NjPy6lfVWu7MfEwcz477d+y8Y4qVnShvp2AAEabc7qXzvhzp61p+19dsy1BcnS4PHC3onJITWN6bWLjmni4AIAIQokjrit/3RXquJ7al10tTByHniQeblryVE4MdlqlW1HpxzLZNHTrdFnyOP80lw5VnQfeY+Xgp1N3Us+Ud3kjPdYWZE4/kJg/+UFerMwAQ4sYHUg6rxBObT2dgFhQj+BGmWMtUy1NDO79QyY28IHiiizyBtnX+WO8tFM3JqdFd9+Wnjz1omVot2rb6XnfAF50nMZwnxnCeGJhtBWOa56VQ1+z7crj7GtHfsorYtknRrAwRxRLbVGeN8OYLt6CZAgCkIETHqoWJXZHWle+Sw11XBxMDd4Wal77NNo26ppSnMEULmOK8+akjP6kWxndJ/pbVCFEML4V7JH/zCsnfugYAAIltaVJ7y3sD8UW3Sd6m5bZlKL5oz/XEts1aYXx3amzPNwozxx+xjIsbnp4d51lqPbEhwow/uvBGX6TnuvP9PoQIM7y3CVOsDAix1Hp+5HJTABHCTLU8fdDQ6jkwm0R+7jYRogVvYikn+NsgRNR82FXnwk3J2E2z4gcCsb5twaalb/EE29Y7UtJfLmxo1hOlGOFsEVjyt6z2RxfeKIc6N88Wbm1Lr18sbepCcI9dAQCwGyK8Lz22++tyqOuaYKL/Dm+oawvDy4lAbNE2t0AJNaU0nhp55Wu55JGfmIZSpFkx7At3XxNI9N/BeyK9+anDP5kc3P5/tEZpkmbFkOCNDbC8r9kTaF3rj/bexIr+DlNr5EvZ09uzkwfur+TGXnaZZ5eERBNuu/ut/HsiERzv6MA9L72kbR8dsYY+8lHxM7wApVKRFDZsZK7bvUvf+YV/qP7V6SHzhGO6DGxCgO0sCQBy/wU2cSa60LmqIYQAEgLI5cSkE9fvJRzou5Njva3Z4uAjtm2qzdHVH5xPoshrIdDh6W0U1LTcJHZM7c+9KCeENlO31FNPJx8ojFWHbIuYwCY2+ZWJPLGvTHKmbZk6w3m+KXii/W5xr9k01HJq5JWvGXo9l+je9BFPsG1dLnn4gfz0sYfkQPt6Tgx0qLXc6VjH2g9G2lffCyGiypnTz9RKUwdMQykHE4vvdIMGACG2rdSyp0rpoafy00cfUqq5ITnUsYmXI73lzPBztVJyHycG2j3B9vWp0d33gQuydJ1nGiGE1MvTh0/tuf/3TF0pSoGW1dH2NX8g+hLLasXJvenxfd/JJQ/92B/tu3k2oAGhsykwV7TAU0qffqbRljrmi/Rc5w11bWlU0yeLqcEnJk88/ZlKYXwXwhTT0nf93/qiC2+ECLMQYBDrWPfBRrBjU7Uw/kp28uD3Y+1XvT+XPPTjiRNPfRoACINNA3cnujf9Gcv7mmeGX/63amFitzfUudkf691WyY+9bBqNgjsnuY4QYpfSQ9t1tTLNSaEeJ/ERwVkZ74VgqNXU1NDOL/JSeIHgjS/lxGBXo5oZnDnz4r8I3vhAuGXFPYLXaGTG9n67Xp4+7I30bKVo3gshwq1913/GF1lwg6k1CuXcyPONavoEQhQbaVv5bifNihDbMtVaMbm/kDr5aGH62MMEEOINdW42daVQyY+9pNYLowzriUr+llXgAgUeyk2xBMD5Vts2NVbwtWGa84q+ppUMLyfK2eFndbUyE21bfe+lM3ic7wQAANsyGqahFGnOE4+2rXq3IEf7c1NHfmrqjWK0fc37KEYMe5zxAkwxEsPJl1XgQZjmIcKMbVu6bRlKrZTcDwCEoi+xrKnn6o/LwfYN5dzwztTo7vscz7xoH+UULS9TnkNs4M633ILZkXJu+Pl6eeaIHGhf78guj/50cvCZv2NYT/wclvVFm2IAnA0SYQBwi0m2qdGsJ0Js2xS98aW8J9JbKyUP1IoTu8Otq96NMS1cikQLAMdjpZgafDLeteFDPave9m1TbxRyySM/yYzv+3YpM7TdNJRiuHn526MdV73fCcqA0BdZcAMnBjpqxcl9M8Ov/KvLIrZHDj/8J1qjOCaHuq5OdG/6qCfYuraaH381N3XkJ5wY7Aw2L3mLbeq19Pjeb0OEaG+oczPENKc2iqPZ5OEfWZZeb+29/jNzTbVCCDPneilBCJHgjS+GAKLMxL7vqfXCCEXzAcEbH8gljzxQLU7sKWWGnpF8LavkYPs6AAAgV4DBgylGYnhvcyDRf6dtGUoxdfJxtV4Y1tXyFEXzAU4MdjqPHggoRgjOJ2XXtgwlnzz8QCC+6E2UYwOBM+P7vpsa3X1fozxzhABCJF/Timj7mveFmpa+BWGa1xrF8Xpp+qCuVqa9kZ7rBU+kFwAATL2ereRGXxa88QFeCnVzQqDdbUqfd85qGVqNE/3/wkvhHn+s9xZBjg0AQuxs8uAPCjMnfqHWsqfURnGc2LbpCbSsibStvjcQW3QbgBDRrBiKtK1+DysEOky9nmc4OcGwnli1OLFn+syL/8+2Ta1RSR1zfbxm77kFAABgOCkSbl/zB7HODR9yfK6OPcTy3uZY+1XvpzlP1NBqmUpu5MXs5KEfNMrTR1r6rv8bCBGVmdj/n+Xs8M65zIupUKhb3rDhj+1aLUcIsbmu7qsBsS3lzJnnIMYj0urVb2JbmlfbDaVg5HPDiGF+aOv6ZTHmLzqm1/PLLwT3gE0gRP19furYg/5Y7y2hpiVv5cRAuz/ae3Mg3n+7bRkNQ6tlTb2RM021aluGEm5Z/vau5XdN96x8W1z0xZfSrBRxOhUIE0IIzfAByzIaulqZLmVOb89PHf2Zm4BzwQOJKUZYvOmDEfe/kBX87f7YwpsMvVEoZ8/srJWnD2n1wohlqhXTUCu6Uk6e232GEFNzXfhfSZiGUgYA/JBmxad5T3SR5Essc9gLsQGakyLEtk2GlxNNPVs+AYBTiMKYEShGCNjE1CFA2Lb0htO9gMi2Tc00lJKuVqZK6aFniqmTj9dKU/vns3B4LfxunXdi62o15ZxLzECnM4WdDpXzQpgWHJNeh2FCCDF1tTIzl32VQ51bBG98YHahSbNSmGLEkGWoZcEbG0CuuTMhhNiWoTqr4dlF6a/HXl8K3DQKGwAAEt2bPgoAIII3PmBbhoIQxfoiC643tXrOTQNYxLBSDEKIWMHX4nYz5uXFQjFiCGGaJ8S2gs1L7o60r3oPJ4a6WcHfihBmGtXMKQIAYQV/OwQQM4KbfkFs62IOKIQQS2uUJlnBPw0hotxz5Fx3ThICpijW4zzYnYe7bZmqodauWNKOW/g6hhD116wY6BS9sQHR17xC8jUt58VQj1sEtH3RhTd5w93XAIgohDHrGApTLHB9EQixTIRojhDLMA2lbJlatV6aOlCYOfFoOTeyU2sUxi6l2EIIsSxTqwLgFm5YT4xixBCxTc22Ld3x3iGW+zYNEWYQwozTESK2bRlKNT/2ykU2c3FAiNRabjg9vvdbEEBEMUKQYsQgw4phmpPjLO9t/qW3lLNov+xtAgAMrZ4HAHyP4eVnRDk+4Am2rZP8rWsET2QRpjkZQUwDhChPsGO9HOrcdC5jbDY1S6lmTzlmfZcPt3NfAAD8jGL47aIcH/BFF9zgiy68iReDXYhiJUyxcqh52e/5o703E2KbFM37OSnUA4htTg+//JVKfvRlf7T3ZsnfvIoTg10M54nNSiS0RnlyZvjlrxRTg0/US1MHZn3MLhUUBfE97xK2BQIovP0Z9ZHeRfRSwwDGgf3Gqy+9qG+/973Cn0IE4SM/V37w71+tf35k2Dpl/3pBg4BLkOzOB5allW3bNiQhNqDp1elqbWqvV2peW1eyJ1StfEkMt/MB05gdeTH1ePc1idvlJqG9llWn93536B/Vil66+KevDAytlk0O7fwCI/hb5WDbeggRxXsivSKmOUOr59Kju7+enzn2MCCA6GKgs1ZM7rUsvV7Jj74oBVrXAELs6eGXvkxsy7AsvR5pXXGPYwZfGMslD/24MHPikXoldRRjWmheuPWv/LG+bYWZ44+U0kPPlDOnt4ealtwtyLEB7CzKz3vfRBQjQPfe4foTpmLtV/1BvHvjRxCmuMz43m/Xisl9mGI97Yu3/YPH8QqiAHAW0ugy2KkXOHaZqaGdX2B5XwsrBjoAIXZh5sQjtVJyP7Etk5fCPZI3sVSr54cJIaCSG32+nBve2ajMHLNMveZ4yQjBycHt/1fyNa+Mdaz7ACcFu4lt6cmhnf9Yzp7Z0bTwmk8KnkhfZmL/94rpU0/SjBhK9Gz5WCDed9vY0cf+olHNnAzEem8RvbEBQ6tn3aLWRSfxrtHpwclT2z/bMfCmf2IFXyumGEn0Na/0BFrWVHIjz6fH9nyrlBl6WpCj/fVS8mCjmj6JEM2VMqef4eVYfyk1+GR++uhPiW2ZrBDoQIhinYLB9MHMxL7vldKnt2tKaZyXwgvbFt34d7wU7E4OPvu5UvbMc7XCxO5Qy7K3i974UoRp1mWL/xpc5ghFHFbGI9nkoR97/I6fim3p9eTgjs9mJg98n+X9rcH44jshwsylyL4JsU1iOQUehCjWG+rc4o/33cpLkd5qYfxVf3ThTQwnJ0y9kUMUI/HuYhNhmmc4T+xiCYgXAsI0jzDFmoZaIcQyEKb54NnURUwX04NPEEKsWMe6DzL8OTHwl5me5DJ4bAAAKKZPPZk8tePvGc6biHdt+LAn2L6ulBp8MjOx/3s0I4Uj7avvPYcRNcdgCnfuARwz9/TYnm8wnLc54KTpBmdGXvlqenzPN23LULzhnq28J9xLMXNPHgUAANsyVF4KfU2QY/2+SM/1EGKqVpzcm5868qBlGQrCFCMFWq8ytFrG0GrZRnnmSClzenu9NHVQU4rjvmjvzf54/+1TQ899HkJMt/Xf8nlvuHMzRJjJTx39WXp877d94Z6t/ljvtkpu5PnMxIH7iW3pkdaV9zQvvPZ/5ZKHfjhx8um/FTyRPl+k5wbHzH2u82eEf7UYVMmNvGCZet0X7trqCbStq5emDs4Mv/RlrV4YI8Q2BNkJRaFcxjuxTO1cL7/5AGNGNNRqauLEk3/tyCotg/dE+/zR3psFb2wJRfNey9RrFM3JNCMEzlowXAIIIYRmxVcKM8d/Hm5Z/nYAIDK0etbQqilBjvaHWpa9LRBbdBumOV+tNLk3P338kWphYpemFCf8kYU3BpuWvMWyDKVeTO7PTOz7Liv427yRnmsBcFh0cxmT1ihPTpx86jOIogVvsGMTcM2TIUSUaep1hpMT4ZYV7wzE+29nBV8rIbZBLEMhtqU3KqkT+ZnjP0cIs55A61rLMhpKLTdk6PUcRXO+WMe6D7K8t0WQo99SqplBRLGix9+ypnPZXX/kiyy4AVOsx9BqmVDLst/DFCNp9dJ4ZmLfd0vpoWdc5rOW6Nn00UC8//ZS+tRT6dFd970Wq53yeuPY62226/WcWSxOAAihd8vm24lpaJDnZEqSwliW40RVSpCiOEhRHNH1hjY+/qqtalWuq3OzIpx6Eszh2XA5+K0VeGZh26YOADiKMD2Umzz0I9HftMLjb71K9MaXMoKvmaJYDyv4WnlE8whTPIAIEdvSCbBtYtumZagVrVGaMA2lbBpqUW8UJ6qFid3V4sQurVFK2pZen2PUpTBLK6UZIRBqXva23OTBH2pKOWmo1ZShN/K2bSiukRIAAICzyRBgNmrv8iMT5wt3gfMiQtQuhCkeYZpzdMlShOHkBCf42xne20QzYhBhWjg3Ycm2Hbd7U28UlGpuSKmmT2pKedIy1erFCmPzxe/CebdMrZY8teNzqdFd91EM76No3k8xvJ+ihQDFCH6K5ryYYmVMsZKjNUWUbRmN/NSROckBlGrmZK04uU8OdW5CZynLEP7qw9P5mRDwMC2rHQaZZWhKacLQ5l+YME2lZBlqhTBimBX8rbpama7mRl8mxDZoVoqKvvhSmhYCLiUXzxahGM7b5NLO51XggQjRzmJV8Afj/XfM0rln3+elUE/HwG3/ZNumCgAAlJsGYGj13MUMfg2tlh459NCHnKLB2fPlnishgGlWpijOgxxJIQshonS1MlXKnnl2PvtyIbgSmFMQotPF1OBjCDnXHMUIAZrzxFje2+LIJDxRiuZkx4sJIkKIZVum6qS76HWtUZpsVNMn1FpuyNAbBcvUavORQBLLUGvF5D5fpOc62zJVpZI+2ahlBpVqdlBrFEZ1pTJtGmoZQIBYwd/KicEulve1UDTvwzTrMdRqppQ5My9/FEAAAMS2CSEEIYoJtSx/uz/Wtw0QYtnEKSxBiCjoSrQQwiyxbdPQ6jlTb1xRmqorlUqVcyMvYEzzFCOGeE+kl+W9TTQrhilWDFOOsToNIaLcv09EiG2V0kNPG0rloqkblwpTV8oAgJcwZvanRnf9h+RvXu2P9N4k+hLLGN7bLMixxeiciREhthXv2vAn8c71f+zey3kAIDS0WqZanNhdSp96spAafFxXSknbMpTLYV3RNGCu2cre8vOHlR+8/JK+/a438++KxlDi/X8ofKxYJPmGQuoP/KjxzQd+pHwrk7Euy2fmclBXcqckIbaUoaVosTLyrKIWRgLerus1vTJVb6SPXYltlCZrZzo2xG6uZdUZ27B1hCFlGbbOyYwP04iheUpEFKQRRhREANkWsUzVqtdzatrUrStinOiGKhybPPn0/24fuO0fJV9iWSC+6DZi26ZpKKVox1V/qNRyp8vZM8/mk0cesG3LpFkxKPlaVgmeSB8ACLX13/y5wvSxh3WtloaI4rITB76fGn313xvlmaOWZSgQIuSJLtgoyLHFyVPP/n0xPfgEwjTPCoEOx9RZDDrfdf4CD80IQQghJoTYmlKa9ARar4q0r34vplhPvTxzmGKEoD+68GZW8Ld6Am3rzo0RxhQrUZfp9fbax862EaZ2jB579BMtC6/9X4I3NtC59E3/b3r4pS8znGeHaSjjQ/t+/B4IIbRtyzD1RtG2jAZFc95Ez5aPBRP9t+emjv4s3LL8HYHE4tsZzhMvZ0d25pIHf0QxQqB98bbPG3o9NzW084v10tQB0ZtY6g13bvaFu7cS29K1RnEsEO+71ZFzSRFTV0qubH9OcyhiWxbG9GMM52tu6b320wznbYq0rXo3IbZBMUIg1rnug7Xi5J56afogcVNrRG98sRzs3MywUjSYGLhT8jevTI/t/aYgOwWmbPLlr2QnDtyvK6WkbVsGRfNysGnxXbZlKCOHH/mzWnFiDyeFemhWCgMAIS+FehjHcPs1ZYcUwwfcFEujWpjYHW1d9S5W8LWVMmd2ZMb3fUepZQYBAUD0JpbYtqFQ+Cxba84ncdb8VZBjA+0Dt36RENtsVDODpqGWy7mRnY3yzFHeE13U0rv1U2elYE4zIeAmos7rWsSYFhCiWFd6SALx/ts7Ft/6RYoRAoZez3mC7essU6s7MkjHjoFixfDlGuxCCOBskcg0lJIn2LHBYY15mwEAQPQ1r+xadse/Ior1cIK/bVamA92O4MW+n6LORtWDSn7sZTnYsUkOdWyqFSZ2jx9/4lO1UnKfbZmq6Gta4RpkX1KQyCzUen50/PgTf2Xblu6L9FzX2n/TZxnB2yx4Ig8SQkYmTz7zd9OnX/hnQmzTNBoF29TrACIcTPTf0dSz5ePVwvgrDC839XT/3kd4KdStK+WpmeGX/9W2DKWpZ8vHaUYIpEZ3fz0/ffRnNCtF5OCi2wLxRW+iWTHUqGYGBTna37bops9KvqblAAI4VwY8PKeximnOG0gsvlMOdWySA+3r1XphJDux/z81pZxkODkh+ZpWsLy/1RddcIPojS+dXfNZltG4kDn5XIApVrItQ3GsMjo2BROLbyeE2NXixJ7p4Ze+ghCmu1fc/XVPoG0tpoXAfBPcTL1RSI28+jXRm1gmyLHFbgLemzDNemzLaNSKyX25qSM/reZGX3LmjBAFE4vvbOm97tOA2HZq5JWvFmZOPOqL9Fwba1/7h2ePM4QYQnDRNTAhtg0hOjR29NFPtCy89lO+6MKb5GD7BtEbX2LqStE0lJKhVlOlzOln1HrujFYvjGlKaQIizAhybHEg1ncLK/ja6uWZI7pSmfaFu7cmujZ+hOY8UV0pTZazI88jzIjecM+1waaBuwKxvlsZzhMHEGHb0mtqLXe6Vp46WM4OP1crJvc5jW5DdaSumz4aaVv9nkpu5MWJk0/9jaa8tj2CvHHjh7nOjo1WtZrKP/TwR5AohqhAsANLYpjYtokFIagOnXoaCUIQe6QIpCiGGHoDe4JRACCyG0oBXDbz7+L4rRd4ZuF2DMbd10MUzcus6O+gaN7nuNXTIna6RpRDM7R02zZUy1DLhtbIGXo9Z+r1/HwLEqahFNV6/ozojQ9ARHGzchqtXhg19EbeMtUKsS29e8XdZy/ijoHbOMnXtAIAAGzb0uYaTfp6wl14GuCXxqUX9B36beO3ed7dhVEFzNPk9WKolaYOCXL0w5K/Zc0sW1BUUmAAACAASURBVGcusG1TU2u5041y6uh8t63UcqdHjz76MZoVI7paS7mL/BlCnMh0Xgr18J7oIlGOD/Ce8EI3ZpQ3tGoauBOs+aBRSR0bO/rYX3BisAvTnJeiOS+mOS9FcV5MczLCjIgxzSFM8RDTnAUAMHRTL2eHnzNdBsr54FLdC+AKJ9VdDlxGjwJ+WRCbBgBckQXnpcCyDJXhPN9RatnTsw9pU6/nz7P4HwKuCemVgKFV05OD2/+OE0PdmOa8xLYMy1QrpqlVbFOvz3ZAHM8dTEOEaAgxpdbzI/NlnlwI7j6r7qsI5pncdKVhWboCHBPQKYTwowzva+GkYBcvBrsFOdbPicEuihECznXD+yDCjKk3Cmq9MFItTuyp5EaerxYm97rGzlcMhk70wZPm0bEx60yxaOcPHrR23/te4U99PhT4+n31L93/vcbXNI38xpIfXguaXpnBiL4PY0Y0LbVMAACV+tQ+nvW3a8aVYeilB0sHO9bHbrJN22AkSg50evpu+PSK/0AYUZiCNGYxZyhWA2GIIYIIQoD0hlk9/ovx7wEAnr4SYwDg7AT4ufFjj/5FS98N/1vyt6yaZd7mkod+VC8lD7j3HZtmxWDzwq1/FW5ZcY+uVqazEwfuN3WlKHhji2OJxXekRl75anp837dM1wgYUwwfTCy+RfQllo8de+yTSi17iuG8TaI3vtRlrxFEMRIvRRYCAJ4/3xgdKS+mACC2oVXTWr0wOnHiqU8DQmxDbxRtS6/xnkhfonvjRwy9ni2mTj7uCbReJXoTSzHNyhTNB8733ZcD2zJ1COHDulKZjrteaZ1L7vhyNT/2cn7m+COl9KmndK2eIcQyZ++Noeal18U6rnq/ZeoNOdC2geHluKk3SoZWz0m+phWcGOiiGCGQnzr8QHLo+S+q9dwwL4Z6Iq0r31XKnt5ezg0/b5lalRX8rc0LrvlkMT30lDfUsRlRrESzYgQAkJvr+C3LUDHNfpMQU3eSbPytCGFat4xkauTVrxl6Pe/KUoHgjS1uW3Tz//WGOzeXs8PPFVODTwBAbF9kwQ2s4GsdP/74XxZTp56c9eOiWSEQbV/9bts0lLFjj/6FqStFQY4tZgVfs6HVcgAAwvL+VpqVIuB8BR6a90EAEUSIiratfq+ulqfGjj3+l9X82MsUIwT80d6beU+kj+G9zabeyFOMGLwkb0pH1OlK5hFVy08dSI/t+WY1P/ayrlZSmObkYNOSuyVf86rs5IH7eU+0L9K68l0AQogwI7o2CfMr8JyNyyY2hIjyx3pvVpXiRH366IOVwvgrpt4oekNdWzgx2Gmo1QzDexMUzftcmfFl3B9d5jgAwBfuuTYQ738TQphtlGeOVt2CnqHVsr7owps4MdjhMLMhBucUhi64X/Qvk2JDTQN3mbpSSg7u+Gwxc+ppCCD0BNs3it74AMN5m2xTbwBAbDwP9rh7PR1mBd+fRNvWvDfStvLdLQuv/etAbNFtxdTg44WZE79QatlTruG7DQAAghxd0NRz9SdY3tdiGWpJlGNLKIqTa8XkPt4T6Yt3bfwwRXPeRiV9YuLE058pZ888izAjhJuXv8M0lGJ+6tiDECJKV0qT7Yu3fV5Xa+li+tSTwcTAXTR/6ZI9UY4PdAzc9iWIMOOaNMNo59oPqrXsKbVeGNUaxfFqcWJ3tTS51xfuuS7qFLUl29Ib4AoUeGhOjkXbVr2Hk0ILCtPHHy5lz+ywTK0GAYQM54mf9WqiGHG+KbtOEwHuSg499/mOgdu+RLNShBMD7cX0qScz43u/U8mPv2Jbeh0Ax+/UKVpf/7eud9c3IES4qWfLnzOcJ1bODe/0RnquoxkhQIhtETI3Jq97/g8wvPzhQGzRrYFE/+1yoH0Dy/taKEYIqPX8GaWaPtkozxwFEAB/rO9Wb7jratHrGDBXC+O7OTHYFWpe+jZMcfLsnLdWnNxLbMuItK78fYb3NnGiv8MlYhCtURhNjbz6tezkwR/oanWGEJtAiBDCNO8Nd18T61z/x75w99b8zLGfT57c/ndqPX/etbNZKIxZ0egiOhZbTPn9rXQs2g8ZWqCCwa7qrl33WeXKtDCw+A5tbPwVzAs+iDFjVqozTHPLSsrnbYYUxYHLZHzNBb8zBZ5fheubMm9TxksFsW3LG+76CgQAclKom2alCM2KIYaTE79m2vkaMNRqytKVK75Y+Z+G3/R5f73RqKRPAgBO/qa363q3PHaet08DAE4jhJ9GFOvBFCMiRLEAQmTqSvF8JmmXsN2fQ4Rn5VM0RIhyJYzUL2VwELnSKgSII5WbD3PlDfwSulpNAwAe/E1v1zTUCgDgIYScc0wcxZhJ7Mub8Px3hrtIGwUAjEKInsUUIyBMi7PMIggxDSCEgNiWZRkNy1DKrwebkhBACAHkve8X/yydrk5lM3bKtoi5b5/xcn8/tfypJ9WHftvFHQAAoDArCXyok6aFMI05H8aMKPKRfuKkFF2RxApMI6aaaSR7rm2601RNBWFIBTvkPgAAqaYak6ZqNmyT6GrZqIohPlacqJ2GCGI5IbRfie2fC0JsGyL0rNoojSe6N3001LTkbormvMH44jt0tZripOCLeqOcpDmPWCsm95XSp7er9dxpQ6/nW/uu/0y0fc0flLMjz6fH9nzDvT4BRXNyqHnZ3ZwY6CilTz0JIcK+yILrCbEtTSlNBOKLbnU60sS+mG8Zw3riECEKEEIMrZ5VG8UJCFGSZqWIFGheHW7e8CfecPdWmpUi1cLk3pnhV/7NSUFKLMUUJ1OMMHfj3Us+doRACPeMHskOZSb2/6cvuvBG0Rtfkuje/NFE18Y/LeeGnyulh57hPeHThlpN++OLmHoldVypZE42qpmT0fbV760VJ/emR3d/Pdi89C2eQOvameGXvpydPPh9y9CqHn/rGrVeGJ0+8/yXBDm+hOHkeHby4M545/oP0Zwctwy1YhpaJT+299tavTByqeO3DK2GMP0tpZobal5w9Sc9wfYNjmxh+Ttty1AYznPYNJSiIMfYXPLQD6dPP/+PSj13hqI5b+fSO/9V8resmhra+cViavCJ2WIQJwY7Et2b79WVyrSTiOprkQNt6wytnrVNvcFJoW4AAHTMs84/38UU551lq1MM7y9lTj/jjy68salny8cAhCifPPKT/PSxhwAgNkVzsuvvN+fmlmMK7viyaY3ieHJwx+cq+bGXaE6K+mN9t0j+5tVqLXd6Zvjlrzg+hb+Mi3YWvZcuW5kFohjRZQAB27b08eNPfMo5GghJ/pbVkbbV74EQoqmhnV8EAICelW/9JsIUR3NSBFyGn5TT9HAYNjQrhsu5kRfTo7u/Xisl95q6UoIIUb5I97WiNzZQnDn5GMN54nKoY+NcgikAcLxdZhmiNOeJVwvjuwRvbCDUvPStNCtFCjMnHi3MnHjEMtVKuHXFPZ5g+/rLCT/QGqUkpph/LMwcf8QXWXCDJ9C6NphYfGe4Zfk76+XpQ8XU4BOiN35IV6spVvCxulZNq/X8cCl7eocvvOB6hvfEx4898SlBji0KNS97e7E68/j0mZe+rDWKY7wc7bcMrZKZ2P89iuZ88a4NH8olDz/gj/be7Am0r0+NvvrvDOdtTo/t/kYlO3LeAvX5ABHFufHro7XCxO5ybuSFRiV1zHTY1dVZxiyECGNMC+GWZW/HFCtZhlohl9EYBQAATgr1dAxs+yInhXrSY3u+AQAhwaaBN9OMEKQYIchy3iZeCvUA4MgJ5+ox9FoghBBMMQ8hiKlEz+aPcVKoW5Cj/c0Ltv4lOUc2DyHCDOeJNyrp49XixO5AvO9WhBmxnBve6aQNR/p8kQXXA+B4ZhFyaXN4XanMQIS/VZg5/oggxxcHmxa/WQ62r/eGu6/1hXuusyytDgAEFM351HphpJg68ahpqCXJ37xa9CaWIExxhlbLaI3iWK04sadamNitNYrjENOcN9SxmRMDXY1qZrCUOb09nzz8QKOSOmZZhoowzfFSqDnUsmxNMN5/hxRoXWPqjcLEiac+nZs6/FN3Ln1eKKdOPc22t621SqVJyu9vRzQjMuHIQltVy1atljGr1ZSRzgwa2expyudrARjTwDBUxHNeYFo64jj5cqWdc8HvbIHnt4FydvgFCNFLDC8nBDm2WJRjA5wU6kYXv9mRamFij9oojv0mxvkG3sCVgDv5K7qvKwrXg8QCl9XZegMXAhXwNvHLe281M/lhI5k5bpVr6XMlpL9puH9PbxTpLhFuN6sGLmBO+HrBsoA1PGwOrg4ym27Zxr1l7179JVGE0oljxqH+fnq5Zf5unE+vp2VtNLj4rYpaGJbE6BIIMQ0BRIXyyBWTX/pbpO4Vv9f9YaWk5dWKXrR0W63n1QzCELMSLedHq4NyXGgzFKteTtZGaIGSKBZxmEYMRBBeKbPlWbgF0iFMsR+vFSf3Jro3/ZkUaFnd7W9eUS9NHSxnzzxbLUzsrhbGd+tKOWnblkGzYhBAhKqFyT2l9OATltuJxZjmIu1r7uGlYLehNwotfTf8LcPJ8Up+7BVDq2U8gdY1crB9o21ZenbiwPdzU4cvWDRjeW8ThIgmABBTr+cxxfDhlmV3hVqWv8Mb6tx0jm8d4AR/K0SYtm1HgosuVbYzn2PnsAmKAIAdAIAdEGHKF+m5LtG18U9jHWs/EOtY90dKLXuqXpo6oCmlZGH62EMI03wg1rutXp4+lBp59d/r5ZnDtfLUQcET7dPVyrRl6g2K5ry2ZaoI04I/2rct1rnug4ZWy8Q61n1ACrStQ5hi5VDH5qmh575QyY28MF9Wt8ts3sHy3sFY14YPRdtW3RtsWnK3L7rghkpu9MVKbuSFanFyTzl75llDq2UJIUTytyQsQylVciMvVPKjL88WdxjOE0n0bP6gbZkK7wkvjLaveT8htlnJjTwPEaa94e6toje+RFfK01NDz/5DvTzzmsxhhChm4VX3hABECAAIaVYKx7vWf2j2/Xp5+ojD4llwA++J9PmiC24ELttnrvuNMC040nGHUeMJtq+X/C2rGMHbYhlqRa0XhmnOE23u3fopyde0ghOCHWc/SzHiuVLXSwGECCV6NnEQQgQgoiCEWFcq04Ic6Yu2rXkfxYjBXPLwA6XMqadNXSn5oguuc8fLO+Es82eJIkzxGDOibVtGfurog2PHH/+k1ihNUTTvlYPt64NNA3dzUqg7M77/u/mZ4w83dW/6qFPgcUZ+wf1CCLf23hCeLbJhzAjhlhXvnH1fU8pJTDGiHOrYxPK+lmDT4ruA4zhxWWtDtxlxyH0BQY4tineu/+Nwy7K3h5qXvlVTysl6MblfqeVOV7LDz9m2qXnD3VsRxszU6Re+VC1M7CrnRl7gpdAztm0ZplbPQogZBDFtEWKLvqYV8a71H2I4OQERzXtDHZuda3LhTdNnXvpyLnnoh6Zx8eSjc0AAAIDYll4vTx+eva4omvPKwfYN5/5irOMqEO/eKIabl72dZsQQIYToanVmNv1tvhDl2IAoxwZsYpudS+/4VwjReQs4Tuz9+d+fC9xz9F052H4q1rH2jwLx/tt4KbzgV3/Pti3dQ3Ne0ZtYmhrb9fX0+N5vG2otzUuhnkBs0a0UzfkAAMAyHJXLpY7DXSukAQBpCNFzrOBrlUOdm92QkOsdnyOn6SCHOjaygr8dQkxpjeJEMXXysVJm6OlqYWK3odWzDC83BWKLbg00Lb4TEGJnxvd9u5g6+ZhaL4wSYtuYZiVfpGdra98NNzj3qegiQ6/n8lNHH8xM7PtOrZg8MJcxm+XypHJq6Glp1cp3UQF/uz41fQggRBmZ7CmurX2dao++bKtq2SyXkmxLyyomFutnW1uvggjRRjk/Ytaq6d9EQ/uNAs+vwJ1sJwEASQjhUwjPmgle8FOOROs8xnTzwYIBboUgIfnUEXWvUreviMHxpUL0IE//Sn5DZsqcGB/WT85lAuvxYf+6a6VbW7uYvh0PV75fr9nlNVvEmw2D6C8/XXu4VrEuudOBMES9S7k1FAXpU0fUvZpqnzW9oihIeQM4pGtErZat35gZ5ht4A/MFFgU/3Rzp55cuvAVxjGjMZE/p4zOHzGxx1Ko2csScW8Q129m82nfn1r8BBBC7Ws+bpep04B23HDeS6WPGTG7QqtZzxDR1u6bkbfXKmKS/gf9esCxgHthvvLpqNbOxVLILi/rpZYAQMjZmnfF6oU/2Ij9wZGW/VQhccAEhtslzge5aI3tC0ytJgQt0G6ZyxTycipO1M9nT5SOjr6Se6r46cbtt2qZS1DJqxSjRPCWWJmtnvE1ih20R01RNBdGIiS4LbkgdL+5zvRheF8aaZWp1hPB/Vgvjrwbj/XcEm5e+RZCj/ZKveaVpNAqGVs8ZWjXVtfyuwXDL8sFaYXJPOTu801CrKU4Mdoq+BB/rWn99uHnZ2xBmBJb3tiCK9QBim5wY6IAQ0ZZlNBqV1LHU2O778lPHHnI9/c4LRvC1QIRpx1wUkKaeLR+Pdqz9AEIUZ2j1nGO8XJ7Wlcp0JT/6ktYojM9+FrqN4dfjWJ0PxLZMCNHT9dL0YU+gdXUg0X+nx9+6xhddeJMjsSE2wrRg26ZWypzeHm5d8Y4wAO9EmBFFb3wJcbxJkGVqFQgRzfDeJk4ItCOKETkp1G2ZWlWppk9mJw/eX5g5/ojWKE5cbiIhAAA4yYzs50qpk4+HWpa/wx9deKMvuvAGX6TnOkOrZ029kdeUUrJ98bbjkq9pJDd19KeWqdUsQy3zUqiL5uR488Ktb/ZFeq6DENOs4G+HCDPEtnTRm1gKIcSmoRQKqZOPzZx56cuV3MgLr2UqCgAANCdFaCc++zWLCoIcH+A90T5AiOV6LiFCiD1XKQJCmG7pvW7brAE3xYihpgVX/4XthGfMQOgkctGMGIIQ4lopubdULwx7w11bEaIYjOcvWwEAzOY+E4rmZEGOD8jBrs3R9lX3GlotnZs68jNdKU3QrBQRPJFoIN6/HAC3wCP42ua9TQAAxqxI0ZxsarVsMT34BCcEuloX3fD+vvX3XsNLoR61XhidOPnM31bzY69AiKhzvGXmwN5hJVbwtZyvEMTy3uZE9+Y/J8QyXPYoJoSQ2VSvK4VGJXWCovm/zk4e/KE/1nuLP7rwRinQepU33HUNAIA4oQ8UVymMv+oNdWyWA23rO5fdwXYuu7OHonm/ZagVAgBxGWxxTgi0U6wYIsS2WMHXrCuV6ekzL/xTduLA912z3DkXVgmxzdn9hQhRnkDrWk+gdc2FPwURwrQAIISWrhTVRmHMLVTMG6aplrOTh36kNQojTmEUM+hsIAbFIkwL/sjCGxnB1+oEoVwZz9dqYXy3Us2cyk4e+M9gYuDNcrjrapoRQ5hmZQgx7aSMcTSEmA42LXmzP9p7E4AQUTTnZXlfC3CNzXW1Mm2b+mXNM9319xgAYIxmhEd5T3hBIN7/Jn+s71bHeJ7zQAiRZWq1ennqQL08fdAyjYbkb1kthzo3+8Ld12KKlTKTB+4vzpz4hWmoZYbzxHzRhTd2LX/zwKL171vEicFOjBlR16rp1MirX8tNHfpxvZw6dinKBWJZFhOLHSH6kjogwFbHx19VTp/eQXStBhlG8Kxb+4eNo8ce5to71gMEsbRyxT3a5OQ+YugNACHSk8kDduP1V/y8UeC5ANwH9CX9wbIc4mQ/ClomMAtZ84I0r1nIPhzgBCTWylaxUbdrAACw5Cp+iz9ERQtZKwUAGLz00V8+vAEqvGqzeGM6aYwlR/UhcJHuPEVDas0WcWPHQmaJx4v9oRjVhHMWFW2m2k2D6LyIJDAPKivGgFq+TtgqSMiTShqjAIAkQhAGwji24QZpw8YbpDsO71FeAADcN789fQNXEohleMjQ/1V3TwAhut6w9deePP5PAOI5D7ewbaP/nbe8RVi2cJtdV4va8OQez3XrPoR9noQ+NrVfOTz0BNMcfdKYzp68EBsHQgjlbZt6EMfKRrpwxq7Wc4jnvOKaxXeja6/6IwAAsGtK3qrWs9Xtr/4bpKn7iWFecnflDfw6IIQQsowI6V9hdhJCbFWvzrVA97sA2yakpYU6bFrARBgiSYSepmaqLZOxZ3Sd6Ndex94KfgueUr82TmLp6fzRHwd9PTcSYukNJTckCdGlPOfvvFLb0GpG5cTjE9+XY0LL1MH8SwQAAmxiQwyxqVmqFOETuTOV44Zi1hEFKVOzlOOPjH9nYndmh229vnJElwlyEiI8lE0e/lGwaeAub6jzat4T6eWkUDfvifTJoc4thBALEEIAcOLcLUMpEdu2aFaKuAknEEIIZ/OS1Xp+pFFJnyjnHA8XrVGaIBdZ3GGKEXrXvjsCgCOzFb3xAUOv59Nje77h+CakjqlKcZzYlu4umq3/wuKAjmEKhAhdbFtXEu62ZiCEvyimBp+kOU9UlGOLBTk2wAq+VopxwhU4IdAm+ZpXYpqTMaYFV7YDAbEt27Y01wdQUxv5Ea1RmtQaxbFqYXxXOTv8rK5VM1damuouPF5CmNqT9TUtDyaW3C35m1fxnnCv4I0NCN74En+09yYC7NliCiGEEEOrpTHFSBQt+F05x9lzb1l6XanlztTL04eL6VNPVLLDO01DKV2oKGXqjUJ28sD3lVp2CFOMhDArYZqVMGY8mGIl5MhMBYQoDhJoE4CAZSil8zGCfg0QYdHXvHLWuBZCCDHFejDFelxfIDhrl0AIIYIcGyCEWLOyLAgRPV/ZCiG2Hetc1wCA2DTriXUsedM/I0SxEGGGlyILPYH2DQTYluXIHQnlsowQonlW8LfOZ5uzwDQrY5r3UzQnty666bM0K4YQojgnAAAATLFyvHPdH8uBtvUE2JYc6tgEgMM2IW6k/Plgm0YjP33s57Ztak5gCCM554qVMMV6MHbPGaZ5QAgGgEBiW0atPDUnJsOlwE38fRkhvHv69Atf4uVInyjHl3BSqJtmhBDFCH6KEYL+2KJtFM15ET5rHYABIDaxLcO5/kzd1JVCvTJzVGuUxhuVmaOl9NAzSi03dCmFnV+OS61YllEHwKk8Y4p9DXYhIa4HqEGIbQD39kkgwvXy9OFGeeaybSUwZkReCi/QGoVRhDCLGcFP07yfYsUww3qiNOeJOWboAFjnpOReLmbZjhDCHeXcyAuOmXTzStHXtJz3RHoZTk7MemmyvK/VTV9FjowXIkIIMY1GoVqY2G2dpzg8Hxh6owAA2IUQ3p8a3fUfvkjP9XKo62qPv2UVKwY6A7FFb/JH+7Y5SazOQwVAiOqlqUOAEDvetf5Doq95JScGuxCmOQggMg2lXCtO7i1lhp4qzJx8TGsUx+bzNwMAAEYud7rw6KOftKrVtK1pdb6r63HP+nUfRBwn66nUMcRxHuz1NlMBf5tVq2WtcmXKrFZmmGis3ypXZoj5+s/H/9sWeBCCkGEhBwCAukYUAADgeCgCCICqkIZtvT4GR80d9IK1W8Vtuk40AMA/zWGc6No7PNsSrXTH4d3KCwCAnQAAsGtH/VGOh0I+bV7xVJe5opg100//rPJdTbUV23a6kwhDBAGAFA1pQgAxDKLPMnskGftZDvGaShrjZ5QTZ05qhxOtdCcvIkmp27VywZqz2eC5sExgvvhU9UGGgWylaBUAAAAhgBcMcKvWXC3enJ42J04fU//LA+lC43wDrx+ogLcpcM+2v6Fjof9C9SQAANJQy3x/15fVkyPP/U85FxAhhETez3a1rA2+7857uAVtGyFGlDac3KudmXiFaY0vo8L+DkhTLLegbQPTGl8qrl3ytsozr/4bYugfn68gBllGpKOhHmJaem3n3m9oZyZexT5PXLxqyduEFX1vsjWjQTS9zrTGlzHtTSvgrqMPAADeKPBcATDtieXe27b8JfaI4XN/TgggZq44xrTE/lmfnL9B+uUAcYxIN0UXcb0dW+h4aCExLK32wv5v6+PTB89XMEylrOQzT6kPb7uVe8uzO7TH1m9kri0V6Xw6bU9vu5V769JlzI6RYXOwXie1X41IRwhChACmKEDRNKQpGjA0DRmvF/piMdzs96OgJEEPw0D2wAF915HDxr757JdDf4ewWp85JPLhvrC/9zbTVAqGeeW6YLZpmwCAX1yp73s94HaJRyFE/5yd2Pc9hve38lKwW/Q2LXeLFH6K5nwUzfsRpnkCACGWqTWq6ROm3ijoSmlSU8qTWqM0qSvlKU0pJ3WlNHkpZudOEqDRAG7nPd614cPF9OCTtcLEbkOtZQAEgGakMCGWOcvegIhiMMXK7ucJcCURvw2429cBAJPu6wnXbFPANOuhaN5H0bwXYdpdYDoLbXeBZxJiG7Zt6pauFHWtljENpXC53fu5wLZMHQCwGyHqAMN54ozgbxU8kT7RG19Cc54YRfN+d+y+WYaUoTVyaqM4ZqjVtK6Uk5pSmtAapUldrUxrSimpK+VJy9TnlJjpSjr+AyHqWwhTnBMrfvYlOAURikUIs05BDyHbMhr18tTBuXw/sU0tOfTs3yOEad4T6ZurR4VlqBVDq6XzU0d/ajqLwnlBqxdG6qWpA5hiPY1q9lS9PH1YreeH3SLmUsnfvIoTgp2IYgTnr8g2IUR4Ngl0vjC0eq5RSR0XPNFehGnetkyV2LbhpBIhDCBC/mjvTf5Y3y0QAOQwJmxLVyvTF9tfd/H6MET4UYQpDiH67HnDmBYgpjiEKHY2ddT1RLTqldTrVtR3pYMFAMDL7gsgTHNuup6PYng/wqyI3ORa6DJECLFNNz5ctwy1auj1rJu+ellFBbWWO12YPvoQSCwGCFGsrlZT7n1yavYYW4ZWtW1TJcQ2Z712oGuOranlKbVemFeYjW1buqaUkxBRDIQQCXK0X/BEem3bUE1DKdmW0QAEQkJs09TqWdvUqhBhxinIqvP2fXotnHNfHAMAjEEIH6Ro3kcxQgBRjIQxIyJM8xA58mjHR9O5Ri1Tr9dKc5M3XSrc5sY4AOAbFM09wEmh0dARhQAAIABJREFUbsnbtFwKtK4VvYmlrOBrQZjmXY9PSvTGl4i+pmXuNWrZlqlo9cJoKTP0TDF18vGaY1qeudzmgtvIO+uxpk5M7IYsK4lLBt6MGFZieuKL60eO/AyJQpCJxfv1ZHI/BgAY+fyIkc+fubyjMjf8tyjwSDL2NncwCxAGuJAxZ3Ipc0r0IGndteJtLI+E/S/WnzYMYFx7u+cdlaKVO/BK49lghFKb2pnuWtUqEwvYLA+FYs5KZ2bMydnFJ0VDKtHKdPmCOFIpWfnMlDExy7BhecSHolTC68chpW7XMjPmBMNCftFyrj3aRLdRDGTXbBFvPH1cO2iaxIg5P2MwBnS1bBeyM2bS0Gw1GKUi7T3sIo8XBfpX8OsHVvHGyUPq7lgLTTAFaUwBqmcxtxxTkJo4rZ1s1O0aRUM63kJ3UDRkSnkrE4xQcZqBLEUDulaxy9kZM1mrWCWKgpQ/hKMsh3iahazasOv5jDWja/acpGSEAIIROBtzHUnQLUuv4rsFEcnhBNVsW8A6fUw9gCm4nxBA2hcwMU6AomUSk2Uh5/XjoOhBXtsGVq1sF3XN1jge8U3tdA/DIg5TgFbqdjWXtqbKBTMPAAAMi9hgFCd8ASqsa7aamTEnAQAlACDAFKSAOzGkGMjkM+b0nufrTzSqdkVTSINhEatrtnahcVomecP49XUE8//Ze+8oua7rzPfEmyrn6pxzN4BGzoEgGMCcJFKkREuW9GxJlkey9TyyZXkpjN84jGc8thVsOShbokhKFMUMggEkkUOjkTrnVDnfdM55f3RTpkiABEGAIKj+rVVr9aquOnffW7du3fOdvb9dHV2idrfeBAAE1sRsL/Y4o9jjjFhzyUGptW6zR6KqMTR5AADwduqjr0ggQkhurtnoumr1J0nQVyN0oyAMM68PTRy055JDUn3lakSJovcOPK20128rHT3zmDE0ccCzc9Mfe67f9Hn99PBzYP6H7Q0gTfGQkK8OEkylykinnUiPkZCvFrkdIXNs+lj64We/in3u8uDHb/sO0hQvQBcnnXcRAJTWus3qkubrWSY/Y88lh0g00AQBhCybn3OsaL9NWJYOCf5DYb97XRUhIVSqiS7z3rHjbm1lx+3Y5QhBSmQghCB+d2X83x7+JDhH22vGANu/13zh7nu0T9x9j/oJrxf5DV2UMIakpZV0/dO3vA+8+Lzx5Msvmbuu2i6/msYMKYX05lsUzemCnmAQh8vKUVV5Oa4qK8NVbg/0UgoljMGvy5sf/5X+MwDABQk8RT12RgjBsvnJQ5Q4wh5X1VrDzE7m0gNPXsh45wMiCCsu6lPcko8oWC3E9ZlCQp8DYD53BSKIF0Shd52Fm9MYACAGITqSnD75CITzZTHgNUb2YD53cj6jRwgmOLMEZzYX3LpQDwDOLKO8YcMul79mPZWdYVnz1UZq1/xuqGr5vYIzc75dsOBAvEbEgQBiPF96IwS3FkxJL5tf2Ot5nQ/W9GUO501ZmLSPAQDGIMJ754WVhQYGAGIA0XyHJQHEq5kHQHCbC2YJzq3XdjF6B9u3wEX+DV8wr33lzP4f3APx2zP5FZzb3DZy7ySDIBMffP7ES/96A4QQLVgu6IIzE0AAEaIKxlSTVG+VwxPtUpyhZklxRyFEJB0beEc+YKV87PSZ/T+8m0ian8x3UPRgqnhfzZrAWHa+XlADQvC58cM/ON/9XfiuXxaft/NhQaTRwdvoOHexsC09i4n8/00N7Pm/AEIoOLfnvyPMWhB0GBCCv5OSS0SpIlVVrsDO+QwcwZltzcydZPlU3+m937uDys4QJpKTc2YyS88wZhSA4Aud/uZ1zoXMNggAhJyZRfYWXWffKa/xMXvPNA9aaBhwGCLcE5889lOEqSapnkqHO9pBFXcZoaqPSKoPU8UtOLctIx8rZqaP5ZKje41SZoIzs3gxSmfPhrAsA2L8pDE2dkCqrOhWamvXEZerjOcLseL0TG+pf2A3y2anhW3rgr07DWWueIEnXEYrt+x0XdeyRF7pC5HoaJ9xYt9zhcf7eo1DAEKwcpN2jepATr3ICy4P9qkacggO+LJ12raOFcp6AADEGGJCodTXqx86+kppN0TwtCRBZfUWx/aGdrm7fbm6NjlnTx/aU3zG7cNPMRvY665yXFtZL7VEK2ktxgDv2134VXzGnopW0ToAIZQkKK/d7rgpMWdPcw5Y8xJlZanA8y1LlFWqBp37dhd+deSV4rNNHXI3JoAQCdJIBanp3qBtP3PcOLhhh/PWQISU7340959LVqubW5cqq5/8Wfa7AIBfOZzIvek65+0YQ9Kzv/RCVYPUUirwfG2z1OkNkNCxfcXnEYY/rmmSWrfd6PqgrEDNFyThQo5n9z6bfxQA8Pj5HNtAhJRdfbv7w+k4m/3JPyf/ZsMO5y3LN2pXB0K4LJ3kMcviRnOXspI+mP1u33H9YGuXsqqqQWqlMpQjFbRaL4nizLg1nE2yuGUJEwAANBfytHWra/Uiz5dV0fpoFa3rO64fQgh+U1KgumqzdnVNs9xRVknqqIzknr3F5194Iv/glp3OO10e7H/4P1L/4HDhxNptjms7V6ob1mxz3BCbsSf6jhuH+nr0A4TCB2/6kPeccQIAXrx0Z+MiACIMAASlnr4n8s/u/7b7xs1/Ujxw4sH8S0d+4L1zx9eUpur1NOJvAAvme+9nSDTY7Lvrmq9z3cglf/jo5+3Z5IDcULXGc9OWLzrWLr0bCMGNgbFX7GRmPP3z3V/XTww8w9K5aaWjYTvPFuZEyciea2ykym4S8FQBAADLFePG4Pg+5FB92KkFMo+9+Lfm2NRRxaUFAAAAOx3Bt2N0uchbgBABAvDccwe+Y43NHPPcuu3Pc8/s+6Y5Mnko+Ik7/k2qLluKPa4omM8OuKRACCFyOYLua9ff79y0/HdoRbjdHJ06bAyO73OsaL8FUqIobXVbsNddDs4i8BACyW13KB+6fqdyZ7QMVTgc0JXLikzPMetAbR1pOtFrHT5+3D50zbXyrXfcqd5v2cJCEEIuBJckKEMI0KutUfN5kVMUqO7fZ75w6CB7acc1yi09vdaRqSk2Vl9PWpxO6L7Q/SyU4qeF4DbnVmk6duTfk9mhXYwZOdMqXJQW6a/HV+1s7LqldiuWkOyrcbU4/HJk4PmpRwAAPww2eNrXfaLtDrNg5yJtvudnT6XOK0PhUrEwWS8tPN4VYuNHfmTo2SmHp2yp01u53OEpX0YkLYDIm3vrcGbpRikzoRcvbMV7kd9EvM+M7RfO5QvOwnknLGRIxc7x78LCIwYAuKiZCgvZX7E32fYil5iFMshLJn5hr6fSf8uNf23FE0PY5QzzQjHBcrnZ5C8e/YKpZ2cAADOXatvvRxaue7mFxywA4NDljQgAR1fXbY7uZRpLZybMsfEDpdNnnrrcMV3RN/2EQnL77/g+2N6trB0bMk9nUixe3Si36SVRGDhpHDn8UnFXx3JlfVW91JpO2HPeAA6dOqrvT8zaU5oTuY/vL73YtUrbZJnCyKRYvKlDWe71k9CTP8v8hz9Eyq690/PRxJw9dfSV4nPNncrypWvULVOj1gCEADlcyEMppH09+oFigecMXZQmhq2+SCWtrWkUgnPI9jxZeGh20h41DaELDkR9m7wEY4CzaZaQVaQJAcDYoHm6rkVeEqmgNf1D+uFDe4pPmwY3PvhJP+BMMNsSVu+B0p7aZqlz6Rp1M6HwyfZutQ0iiGIz9sRIv3EiMWdPN7bLS6kEpVyGpTCGxOVBvup6qZVSKJcKIvfMw6kfON3Iw8XbSo2GzBYWml+FhUIIUcjyjF7k+Ud+kPnWsnXq1tomuXPJGnXz6WP6/jO9+iFfmERDDlK5f3fh8QMvFp5qaJOXKBpy5rPzBsjZJIsferHwVGO73C3JUMlneZpzwFxeHPAFcdgXwlFKAR06bfRkUzxuWcKCEMD5dr5CUAlKq7dq12+70fXBQo5n/uEv5j4DEUDX3+X5mNur+Uf6jZNvFielcK9liSvGI+NKQ1iWDjjntDzU5rll25+RgKc6v2vft0jQV4O97nJIqYL9nkrwPhd4kKa4vbdt/wSkRE3/4NHPWVNzJ2l5uE1pq9tGosEmYZpFY2jyQO6Zvd+wJudOAoyI0la/zegb2cNS2UkoSRp4ExNFpCpu7HWX6ycHn809d+A7amfTDu9t2/8CUqK4r9v4edf2Nb9n9I2+BAAEyKH4AHoro/hFzhdhmkUAAFSaajZo3W03AZtb1ky8j1ZGOqCmeqEQHLscQXCJBR5IiCQ3VHW7r9vwOXVp8/VcN3P2bKK/dPTMY6Xj/U9KZaEWWh1dCjCWIJ1vPXw2olFcsXGjfHVvr3WYc8AMQ+gAAPjUE/rPNSd09vbYh2prcROlkCYSPBYtQxW9x63D5eW4mnPAZ6b5+NJlZPVTTxq/cLuRhwsh+s/YvYwDPjXBRmdm2VRHJ+2G7yCLrCK88hOMm4VEeuDJkp4cpkSZqois+ZRtFxPgInuvucu0qiW31X1YcUu+qZ7E3kiLd5kzrFSMHYg9KzupW/MrJiaIal4puOyu+t93lzm+np0ujF3MGN7rLJR0PYwwfYxQ2U2o5lMcgQb0Xwaw58Q28/F8avzAuxDmIosssshlByKEIaUadmg+lkqPs2xuWqquWoVdzgh4DzQxWOSdI0WjbQAjKoUjbWD+3v25yxzSlS3w+EMk6vbhQDLOZtMJFlNUqAkuhNuHgw4X9uTSLDncZ/ZuvcH5AbcH+QQAYv9zhcdtW9jX3unRfUESiVaRum9+Pfb52Sl77I//Z+Rf6tvkpdWNUpvXj0OlIs/Hpq0Jo8SLxQLLubzYHwjjcipDOVpJa4sFnnvkh+lvvxqPJCNZCMAYA3Zi1p46/FLhWYQgrGuVu9Ztd9wUipLKUpHnFRVpkQpSQwgkhi5KmABSzPPc8Bnz+Jke/RAAACAMMEQAMlvYI2PWYGKWTVXV05b2bnVdTZPUls+w1NBp47jHT0IbrnbcHK2m9aUCzxEynwmEMSTT49bQsnXatkglrikVtfypI/q+U0dL+873+EIIAKVQXmiVK0pFkc9lWNLtxf6pUXPA6UaeSDmtUTXkVB3QlZixJ2UZKvksSxXyPFMq8PzGa1whQgE1DWEQAok/TMo2Xee6vaKWNpWK8+VukXJSrTqgM1xOqsPltIozwR79UebbrwoxkoQkjAEBAALVgZy1TXKHZQGzkOOZ/c8XngyV0cqZCWvE4ULumkap7c3i1FzIAy5DGuhvC8KyS4ALW66rWFHY1/sAIFh2XbP+D5BD9UnV0SXCZiaSL22L3MsNRAg5Ny2/w7Gq847M4y/+L4gx8dy49b+TiL+BhP312KkFebGUQk41QMuCzVJdxQq5sXodUmW3OTRxAHDBaFmwGcqSBs6ymgkhhOrytiggmOb3HPm+tqxlp+fmrX8qTFvPPvXy38u1FSu4buSEZRsAAIhU2XWh5pOLvBFuWEUAhFDa67cWD536hVxXsdJ721Vfxl5XGQ15a+1kduLNBJWLAXZqPtdVq+9zX73mU1CRXaxQStnT8TP5PYe/p3a33STliwl9YGwvLQ+1vdk4ti3slaukF+64k419+c+yny6vwNW1dbgJCMDXb5SvSqd5MpsR6dkZPpnL84zPiwJ7XjCe1nVQGh1hA5RCqawMVb38svmsaQkjkWCxZELEWlpJ1+QEGx3ot092LaErg0EUmRhnI293P1XFV+tz127xueu7bKanKVH9FeEV0xWRVUGnFmovlhJnLvggngWEEe68pfZaAACEGJKaNeHtml8O61kzyRlnml8OmUUrl4+XZgpxfTra4VsZafUsA/MlM791LHQOfTX7oO8yh7PIIou8C0A036JbcM6RLDuQpvp4vhDj1sXrJPx+QnBuAyE4drnKuG7kSUhuQorsQrLyloL4lQ7ECAMuOIAQIocjCAEArFCICc7fVz6c5uzsKRLw1xujo3uF/ebm5+8WV7TAI7gQqgYdhACCEMCj/ebJwVPmsfiMNZlJ2DGHG3uq6mlLKsZm56asMV+IRFQNOQEAABNAIARIL/K8EEDYpjCGThk9bh8OhMpoFcYAIwiQy4N9E8NW39xUYSyXYcmpMWuoa6W60RvAYcsSpsOF3ZwLjhCEAAATY0CpBBXOIFM0pGlORLdc77xTcyL3oT3FZwo5lt6y0/0B1YGcAgDAueCqhpwIA6w6kItQSG1LWMwGtm0CkzPAClmW3X6L+3hNk9R+z+/7/2R8yOxLzNpT+SxPbdjhvKWsmjb07C89PzNhjWy7yX23w4U9QgAxdNo4/sj3099YsUnbUVUvtQTCpLx1mbLa68ffTZ+H4bEQQDAGLMsUBhAAyApUOQfcMoUJEUCxGXty+IxxPBglFbKMlFTcnp0Ytvq9ARyyzPmSLNsWVibJ4hBCGIiQ8hUbtR31rfLSo3uLz40NmCc3X++80+nBvlfr9f1BEs2kWNzhQh5VQyVMIAEQ6IwB2zKFwWxg27YwY9PWuCQhJVxOq5xu5M6mWQJhiGUFaZIClTeL81Kek7/tCMs25ruIQIh97gpzeOpg6diZx+1Eesx7+9VfkWvLuyHBb6u+/kpDqooucV2z7g9YJjeDFNnlvX37V0jQVwMwolCWNGN4Yn/h5WM/tmbifXJT9Trn5uUfJR5XlJeMrHPLyo9JNWXdxO+pghJRz7oBBBHxeSoggthz87Y/w25HmKWyk5lHX/grEvTWAMbtzK9e+GvnxuX3AwihFUuNAMYWDZYvFpatAwE4wEhGTjWg943sKR46+XPBBfPfu/PvkERVgBG9mJtEiuxAquyGsuSk5aGW4Cfu+F2lrX6bYMxK/viJL2CH4vPctPWLHq8rCjCianvDVfrp4ee5aZXgW5TN/HobGKBoGapcsoSu+OY3Cn9V30ha6+tJy/Ee65A/gEKDg/aZpibSMTEBR3t7zcO3365+eNcu49H2DrIsiEH42FHrwL33af/Pk0/oDx89Yu274y71/p5j1v5Egs/ZFrigrEmZuqJOLdLJhW0QLLkoCQcU2VuDIKamVYgVSrFTFzLuuXAE5Ii/xtnsq3Y2IoKkzGRhKD2eHyymjDnFJXmoShy2zkquiFaJCCKx/uxxdJE/60UWWWSR9yIQIexYvuzu8O98+FZumoXgnbfngvd8IEhDwSa9f+A5rKlfZ8VS+nLH+Z6DCy4YM82JqSP5Q4d/LJWXLXGuWP6h8/1tvhIhHneZe9uWPwrde09U2LYhLKtEw+EWSIma2f383wIAfn65Y7yY2PH4gHvjxj/AmuZnhWJCikYKrFBMAMYs8GpTAQgxQAhDhIhgzGT5/CVNNriiBZ7EHJt65dnCozWNUrvLg33hClBdzPOsL4gj44Pm6ZYl8qpoJa09vKf4THWT1G7ovLT+asdNhML+m+/zOiAEMDZjT67cpF2TamNLnW7ktS1h5bPz2TGWKczyGlofqSA1paLIB6KkIp1ksbFB83S4nFYnY/bMzg+6P56Ys6cEB3z/88UnXv1b0ZBj5wc9H3/lmfwjti1szgGraZLaizmekeYNiIPBCClfMG7Oqg7kbF+urCvNmzg/qqhQE0KIhfIo0HdcP3TVza57HC7krailja/syv8yMWdP27awbBtYFbVSs8OFPIoKHUKBIlpJa30hHPEHSfTo3tJuRUVauJxUh8tIVbCMVoLzyGLBBFCMAcUYEAABsC1hmToveXwoACGEpi5KVIIyF0BIClQsS1ibrnMV6tukJY75TBmQjNkzviCOVjdIrfmskoYQQNsSZlkVrZVkKGtO5JJkqEQqaE1syh6fHDUH5qbssWvu8Nwfn7EmMIHk0EvFXbICNQAAKBV5vu+4cWjz9c47PT4cuO8z/i+lE2xOcyF3KsZmp8etoYpa2vRmcV7Kc/K3HWEzE3DBhG0b+d37v108eOJhYTMTuRwhYZh5gCAGlzi74XICEYKubavW0HCgIbd7/z8XXj72IzueHlM7G7Zjr7uieOT0L/WTg89aM4k+tbNhh2vLyo9jjysqGLdZoZSSasu6sccVhRTLEOOzTxwhhNjtCAGECEQQ5XYf+OfSsTOPKc01G9RlLTekf777ayyTn5NqypYBBJHRP/YyN63iu3wo3rcIyzaEEEKU9Ezm57u/ZgxPHASM26Q81Cos2wCK4r5YN24QISS31G703nH1LVJ12VIS8tURr6sMAAAAJYrIFubkhso15tDEfmHbhp3KTplDEwe01Z13at2tN56rc9broRRICAL07C7j0Y5O2l1djeu/8+3C3937Ee33+s7Yvdu3ixtlGco/f6j0g5ZW0nnogPVyWytZUlmJax98oPTdj9yvfToR53OTE2z0qu3KjX/59ewfT02x8RUrpQ0jw3a/psELytozrNxMoRQ/LUuuCggRsexSAkOqQYQl3UiPJLNDuy9k3HOhBZSIt9JRr/rk0PTx5L6eh4b/peu22o/H+jLHMEWy4qa+YtKIIQJJtM23YvJo/KXMVPGsRuiLLLLIIu8rMCZaW9t15vTMifz+A/8uVVetUpsat0GMJbW15Zrsiy//IwBgUeB5HYLZBkunx+Xa6nVyZflypKoeO5udFufZKe5KhPh8NWpT47bEAw99iltWSW1q3IY9ngo5GGhUGxu2gfeZwIP9/joAAZRrataaExOHfddc8xeCMcOcnu4Vlq0DhDDStADx+6p5qZQRplUAAHzxUsZ0RQs8nAvhC5JjnAHe3CUvd7qRj9nCjs/Yk9EqWlfdILXOTNgjM5PW6InD+ivX3OH+SPMSZWUwQioAAMK2hZlJ8FhZFa0LldFKyxSGaXB95IzRG5uyx/plQwUAgPIa2sAYs40SL5UKPD+dYMOlIs/rRZFv6pCX17bInbPj1ogQQAyeMo4FIsXyzhXqhpYlysr9zxUe3/9c4fHlG7TtoSitpJRJ02PmYF2r3LV2m+OG3b/M/ecruwqPrtqsXVvTJLc3tMvLAACP+sOkbKHNOwAAgLlpe3x6zBp2dCDP4Cnj2Mkj+l7TEPqRl4vPygrUghFSLitUnRq1Bhvb5WVrtmnXZ5I8XtUgtQIAoNuL/MU8z/Yd1w8Vcizz0c8Hv+L24aBtCoMxwQp5ns1neTqfZalcmif7T+hHvAEsl9dIDdk0X+hwBWXNidyJOTZtW8JiTNgQAphLswREAAEAwNyUNRqM4vJigWcBAGBi2Oz3BUmkugG0lFXT+oMvFp9yerDXHyJllXVS89SoNdjYIXev3qpd//xj+QeeezT3E70oCnWtUldDm7w0FWdzCAIUjJIKZgOLM8F69hVfsG1hdSxX1gUipDydZLHJUWtgpM84MdJn9ta1SJ1vFecilwjOGQBCQISI0tGwnQS9NQAAABXZSaKBJoAxXfAneV8CCZZJ0FcrLNvQTw09J7fVbXFtXfVJezbRn37omS8bI1NHhGUbSKaqtqLjVux2hsyhif255w58xxyb6RGGmSdhfwMJ+WpZKjt19o1AhFxaSOhGLvXQrq/ox/ufdG5afr+6rPWG/AuH/h07FG/wY7f9s9Jcu0noZt4cmToMLHsxg+ciIfhCm1RKFW1Vx+1KW90WAABAbmcYe5wRKFEVqcoFGwq/FhLxN/juuPprcnPtxvnOOILrp4afzz934F/Upc07peqypdb4TI9j3ZJ7kFMLYIfqK/X0PW7HU6PeO6/5OvG6oixXTAjDPKuBJEIQXnudHPF4kO9P/tT1V/m8yFZX4/pl3XRN3xm7V5agfPMtyj0OJ3TdfItyz9NPGb8QAIAbblTuMi1grllBt6TTPLl3r/l8tAxX5PIie91OesdXvub+R58PBfwBFEomeMzhhO4LaYxd0lMjEKJ/d2qRLowlR7EU7wMAACGYZTMzd9E7MQnBg02ezvRYflByUjezuSW4sG2DlYQAAhEkKS7qlTTiEkJwb5WzMT1RGHrrgRdZZJFF3gcgiLT21utJwFeDHY6QPjj8Yj6R/L5r3dpPvJ8zUt4JLJ+PpX715JeRqngARgQiTHmxmLLj8f7LHdslRCBZdri3bf4cgBABm5mFI8d+Cjizkar5LndwFxOIEPJdf91ac3q6h/h81VY83m+nM+NyTc1aJMtOZjMDCM6J31eNHc4Q1rQALxYvuZn8FS3wAABAKm7PEQpfOH2stB9CCIUAwraEKYQQj/0k+x2EADYNoTMm7PnsGsHTSRZ3upG3pUtZVSzwXCrOZjEWZHzCOnNsb/G5uSl7nDHBEIY9E8PmGUKhxLngQgBu6KLEmeAAgGEAACAE7jpxSH/ZtoVt6LwEAACygn6279nCrwQAoJifFzrGh6wzGAPMGGBCCC5JSGFM2KUCz8dm7cmpUXOQEEiZDSzwDwD829/GvwQRgIXc/PuNEi9V1Er/t3u9tv3AC4UnjNL8tjCGp2NT9jgigAgOOGeCURkqggNGZagsWaVuautW1zIG7Jefzj9ydG9pt6IhJ5WgnM+wlK6LIsGQFPM8Gy4nVQ4ncjvd3Dc1ag6O9Zsn//oLMx+1TGHYlrCdbvxDKkHZMoVRLPBcNs0Sv/xR5luvxgcAANPj1nCpwPNzU/YYmN//HJXgrt6DpZeEEMLQRXFq1BzABFLBAWdMMEmCsgBA6EWRNw1uAgAAJvD508f0A5wDZhpC/9b/iP0READkczzNbMEwhrtPHSntxRhS2xYWZ8C2LWEyJvj5xPluQwP+WloW7YQYE1Yspozh0VeE/ZuTbogQmreSvjRt/N4VOLeFzSxAsORcv+xewQUHQMwbxxAsAcat97UfDCUy8jqjLJWdBABC91Wrfw8qsosbZl7tbrtJqq1YITdWHyQhf06qji4xRqeOJP/jF58yx2d7X22dCDE6AxDC4pyiDITY5QhaU7FT9nTstGPDsvvc1274b8bg2F51WesNalv9VuRUAwBjao5OHbFjyeEr+px6r8G4BRizkMsRdF299tML7YgBhBACQmRhGPmerpfjAAAgAElEQVSLdY5DjClUFTeAAArdzBsDYy9DRXZzyy7l9xz5rveOwFehIjmFxQxIiCzVVqwIfPTWb5tjMz1ACM51I1fY1/OT+fPxjRACaNcSuuK7/1H8B70kSoEgCmcyPOV0IJfDAV2UQtrYTNolCUqFosivXSdtBRDA9eulbZgAoqnQ2dBIWk1DGLYtLIQgnplmE14v8lsWMGdn2KQsQ6VYELmZGTZxIcdACM4RIqfmHR8ubXvRUsZM5maLE0bBziAMSfXK0FZmciM9XhiMdvpWhxo9nVUrQluoRpyje2efdkW0ymLKWOx+c4VDoexzI3+3JYykDayMLcyMBczU4nVzkUVegxBA2LZBy8u6AEJY7x/YLSyrKNfXbsQuZxiqivdyh/heRNjMAgCcvtxxvJssLIRBtbFhmzExeVgfHdhF/L4aGo2224nkMJIklZvmZZmPXWxIMNAAZdlhjIy+AjGRAIBQWFbJnJk5IUyzQLzeKlbIx+xkcoRlMlM0GGqCsuy85HFd6g28G9jzZrxnq/F//QTp1ze5t37El+g5UHohnWCxFx7L/axU5IXXv3lByHnT9qO2LV5t1/ZrDJ3rAAD9dS99fcvj16+o/sYY2TR7g7o3OWIOAgAGX/scm48x97qXvnbsny48APjc/BOSjPiTD2a/ixayWTCGRFGh4+Rh8AqmgFqG0GPT9sSCyfGv29Dmsyzz+phev1/ZFEuC1xnDLvjxvPazeP2+v2F1mdmCvW6/Er/xfybY2d53vnG+26idHTdp7a07uWWVgBAsXSgmAAC9AMxrH1JN9Sr/Hbd+BCKI/bfdXGC53KwxPLrXGBl95dWJ/5WAHU+PpR/e9RXic5cLm5kAQoQcqg/73BX2XHJI6EbWGBg/b6PvKw1IiEI8rogxOnWYZfOzuV37v8UKxSTEmLqvXf9ZWhZsyTz6wl+zTH6GhP31qZ88+UVjZOo3OooJxhkAgJ1zGxAg5HaEWCY3SysjnZ6dm/4YSlSRqsuXkWigUe/tf1rY3NJWtN1izyYH7HNlAi1yQRjDk4dSP3nyvyNFdgnGLIAQwR5HGDk0vz2bGOAlI2sOTx68GNuyZuL9+vG+J2lZsEVwZmUe3/O/nRu7PxK474b/Y07MnSBBX633lqu+BDCi8xk+ANBosBl7XWXm8OTB4uFTjxQPnniI5Yups45vAevb3yz8TS4nspyLX2fDQAihJAFJVaGmqFCVZahKFEiEQkopkCiFlFIoUQqoEPNea5YFTMsSpmUC07SEZVvz13xFhVpdHW46c9o+/hd/fmHHgfN3JwOtENdn+ndNPay4qY/ZwqrfFL0hN1uaCLd6u8PNniWuiFZVTBpz2eniqJGzM9wuWKnR/KK58BUMhBAGUNmqatL6B0WR65ehWmYKPTFo9XwFLLauXmQRABFCEGOKJEkVjFnG2PiB4pFjD0hVlSskhzMEAYQAAohkxY1kWfv1Gznn3LJePxda5DIDIYQAIQQQJIBxS3DOIYQQYEyQLLmw210GKVW5YWR5LjfLTasEGLPOR/CGGBOIMZXKywi3rGLx5KnH7HRmXKmrXW+n0uNAcA4JlqCiuJEsz5eozRu+mlfSXOe1qPUNW5SamnVIUTxyZeUK4vfXQQiQnUqNcNMsYE0L0EiknZdKKWEaBaQqHnNm9sSljut9IfBcCLYlLH8Ye7gtGHoH7VuvREyDGwCAi2pOuchbACEEElWssfEDUnlZFwkG6sGCwAMghMTrqYKUKtjlCPOZuVNKY/1mqbysyxwbPwAAuGIuety0ShChBwEAAAghAAQAYEwhJYowrCIQnF1IqcaVAqRYxh5ntHRycLc5Nt1jDk8eIgFvtdxcs8EcnT6WfWbvN3lRT7mv2/A5YTPL6B97+W1vBCGMnVrANsyCPZscTH7/l5+FiuxyrFt6j356+Pn8S0d+4Nm56Y8AAMBOZMaFblxWcfP9BsvmYxCh7wIwn1MCEUKQYAlgTIVpFoEQ8/meFwFhM0uqjHxP6WzaIVVHlwbuu/H/IIfqQy4tpLicYaEbOZbNz3HdyPFcIW5Nx89Y4zPHjZGpw3YiM84LxeTC6uHZx5+/YXuDZ8LC88bC46zi0Nuk9yKMcclhFrfcEe0XSz9Q/3uVy32bjIKdLaXMWPWq0NZws2dZerwwmBzN9WUmC0PeKkfDyV+N/cDS7ffFKuRvKxBApCJnfVHk+jlgZp5nTntwYJUE1TBYFHgAAPOTNqRpPuzQgkhR3EAIwUqlNMtmp7hunHWh7UoGa5qP+H21wrKKdio9zk3zNzzskKK4sMsVQariARAiYZoFXiymWL4QuxiTVAghhLLsxA5HEDk0P1z4bbFzuRmeL8TP11vtYgAJkbSujhu0rs5baSBQT0PBRkCJIkp6Nnfg4PcgQlhpatwmhOC+G677qp1MjkKMKQkE6s3J6R6sqf/tbMbLkBAJqYoHqaoXKQslzYzZrFRK8UIxwQ3jDYvuVyqQEIkG/HVI0/xgwXeH63rWmoudEbZ9QQ0ILgTidkdIONiidba7STDQSEOh5uyLL/0TUpQxuaF+uaOr42apsmK5sG0dCMGJz1ctGLP0oeE9xeO9v8AOxxFWKJyztIh4PeWe7VvvV+rqNmK3O0pDwSYkS67CseMP5fcf/B72uMvlmqpVUnnZktA9H/hXrusZ5NCCWNN82Rdf+icAwHffah8gQgipigc5HEGsqj4AIeS6kWO57DQvltKXI+uyeOb0k1Y8PiAYM7O2bQrTzIv5uY4AQoh5BUtwIIAACGFIiPxmx/Fi8Vsr8Jzp0Q/MTePxfJanTZO/J1qaLfI+htkmYNw2Z2ZOkFCwCUnSb6TnccPMG2NjB0SxlJIqy5fZ8cQQ0jT/e6Xd3tvhLDcfr8/get8CCZGRxxkVlm1AjInS2Xi1VFexwpqOnSn19D2hrem6S+1s3IF97nJzZPIw1/XXZ9+9JUiVXVCWHCQSaBS2rfOSkXWtW/ah0rG+x/STg7vlxuq16pLm64Vl63YsOXyxxIZF/ovXnuMLf58ta/OiYM3E+3NPv/KP/ntv+N/IqfqNkanD1vhsrx1LDtvJzDhLZSfsZHaS5wqJ+Q52i7wTsrPFiVCz5yeKS/JRFTuqV4e3z5xMHhjdb+6qXh26arYvfdRb6WyY60sfK2XMS36TtsilBmIFOiplqJYzwHQGrBwCSEIAXnHd0ZAsaTQcbqXBQANUVS9SZBfEmNqp9Lg5PnnYisf7BWPnfY2ACGEaCbd4tm+9Ra6uXi1FI+3E76sVXNh2PD6oD4++7OxetksfHHrBzmZnz2dM6vdVY5+vxhgeeUlwzhGlslRVudKai51h+XwcIoRoONRMo9FOYRh5gBDmpVLaGBs/8PqydgAAgJTIUjTaSSPhFuxyRaBENQgRFsw2uGEWWDozac3M9FqJ5PD5iC+IUsVz1dZPuzdt+DQrFpP6wODz3h1XjZrTsyf1waEX5KrKFf6bb7hLrqtdS/2+WoAwZbncjBWL9etDw3vkyopHzcmpngudaGKnM+hYueJ6talhC41GOqVIuBVKksby+TljbOKQ3j+wW6oof9aamT15PvuDnc6gY2nX7UiZF6MgITKAEPFiIVE4fvIRO5n8tUk8JITSULBJrqpcgRyOYOHw0f/ETgdyb1j3e+b0TG9+aHgPDYealYb6TVYs1ocUxc2y2enCwcM/RKrqY+n0uD40vEdrb9tJGn01r35+r42HBgJ1SlPDNv+N17cRn6+Gm2YBSpKmNjZsFZzZ1mzstBWP9bs3begxRsf2W1PTx/lb3AcTlytMy8u69P6B3QuLLliuqV5lJ5OjdiY7DRFCJOCvk8qinYLNtywXtm0YwyMvny3DCGJMpGiknUYj7fPnlOSAGBFhM1OYZtHOZKesmZkTVjwx8FYCDYQQKg3167zX7vgSAABCgimNRjrsRHJo7ns/vBcAcF4+PBAhREPBJqmifBnx+aqFZRXNmZmTxvjkYV4qna1q4Q04li+7W2tv26mPju7TWluvI8FAgzk13UMj4Va1teVac3LqWOHY8Z+xbHaGeDwVnu1bv0A8ngqponyZa9WKDxeOHX+QBvxftxLJkbONL9dWr3Us6botf+jIjwHnTK6tWYtdzjAvFOOQYNmanTuV3fPKt11rVt5fONbzIJJkp7as63YaCjZhlzPyVscR+7xVrg3rblLq69ZL0UgnCQUbIULYTqXHjbHx/aW+gWdpKPicFYsPvtlYFxs7lR4HAIy/1esgQhg5HAGRzc68XjS+FPzWCjz9J/Sjb/2qRRa5OFjxxJCdTI6qLc07AISA5Qv/tTIIIcIOzQ+ppJIyTwU3zIJcXr5UGEZu0QPgygKpsgupioeG/HXOLSt+V+tuvZHrZg5JkkNwzqzp+BkS8FRjjzPCS0YWMPG2V/uQpnghQoQEvTXeO67+Kva5y63J2Gm1q/Ea9zXr/hBAiCAlCi+UknYsuWgAe4UjbGYhh/qwYNy2Y8khey45xPLFxLk9mhZ5p8QHsr17vnHiy/4aZ1P1qvBVWlCJQADg7Kn04Znjyf2xgezxYlKf4za/YrIrFzk7EEAkQSWU5cmjBEpuAbjFAdcNoJ+XYHG5gQgh7HaVaR3tNwQ+cOcm4nGXQUIUK54YJB53GQkGG82JycOO5d13s1RqTK6u+g9revo4t849aYYIQeL31fp2Xvu7tCzaKSyrJFdVLCc+X7UQQhR7jj3MUqlRR/fSD2jtrTvtVGrMd901T+UPHv6hnUgMvdl9C6RU9V591Z8UjvU8qLY0j2tdHX7Pti2fz7740jfUhvoh14a1XQBASAP+umLviUcE45ZzRfe9rtUr71dbmn9iTU/3smIpiTXNrzQ3bg996IM30HC4BQgArNnZk1YsPgAwplhTfVp71UrsdZezbG7GGJ84JEWj37Lm5s68mRBOgoEGqaJ8WeIXv/xjGgw0Kg0Nm7WO9hsEZ3bpTP8uubpqpR1PDJZOnn4il0gMIYcj4Ohe+gHi8VTIlZXL5YqKbiuRGKTBwLeteOK8f3+Rqri1jo6bAnfdfgtgzCQBX51cVbkcIETsRHIo99LL31LbWq/zXnfNl52rV95vzcz0qs1N/34ukeJV5IryZe7NGz9rTkwetjOZKV7S08KySlJ5+RIajbZLZdF/QJoWUGpr1gbuuLVeWFYJYiJrne03GSOjr9jJ5Cg350ttjNGxfc5VKz/iWLbkTmFaRV4sJbHHU05crgh2OkLY5QwjhyNozcycKBw6/CNaVtb5G7FUVnQH7rz1a9jlCgvGbZbJTArb1onXW1XsOf4wLS/rRKrica1a+RHWUUwKwyzoo2P7iN//568Vot74oWHJvXHd70vRcJva0nxabW9VvNu3/b+FI8d+qtTWHHCtW7MUQIiJ31+r9w88ywqFuGP5sg86V6/8iNbR/oA5MXmEFQoJJMsOpbFha/Ceu26WotF2ACGyYvEBa27uNIAQYafikSqalpFAoI7lcrPW9EyvXFP9z+bE5OFzCadCCKG2NlPAOc+88OLfS9FoO5mdPaXU1q7HLlcEvInAAyGESFHcUnXlyuDdd31Irq5aJRizsMsZBgBCc3r6uDDMgu/6a3uLJ07+0orF+nlJP2vGNoQQ+m+9ucaYmDhszcX7WHVhFQH+eu+O7X9qJRKDhSNHf8J1Pctz+Tni8VS41q/9hJ3OTJbO9D2Fvd5qGgw0OJYuuRM5HSEaCv6RFYsPvGEjTNh2KjVWOHT4R1BWXHJtzVokSU6WyU4DiLBUXraU+LzVyOkIaV2dt7JUeiy/78B34Yb16ryX4dnBLlfYvXXzvUpD3UZhmkWpLNollZd1CSGEMTS8p9TX/4zW1XGL2tK0w04kR4J33b4/98r+fzWnp3vejqB9oUAIodrefoPW1nq9nclMZl/c849c/83Pgfr9Nd4dO34HypLTmp45Din9ibCsS7qA/1sr8CyyyLuJfqb/Gb1/8LlX0zMBe03ZBAQQu11RqbJiOctkp+x0ZoIXi4lzjbXI+YMU2YlU2S04t4Vl68Kwipeyzhd7XWUQIUzC/vrSycHdxUMnf04rI51638ge/dTQc8K0S8CyDLmheo0wraIQbz/jAlKqAAQRxJiqHY1Xl473P2kOTxxU2uq3AiFYYX/vA+6r1/w+N+2SHUuNXPy9XOTdhhdKaYjQD9/N1PxLAYQQQkV2IkVyCcYtYdm6MM3igu/Ue4aFrLcEACCBCDq4UMYNBQCC29wWr/ErWuSKBwEAkABcd0LPWhmq5TmeOsqE9Z4vPYIYY7mudp17/dpPsmIxWTp5+jGpomyJsG2DF0spROmGzK7n/sacnDzqWN59t3NF94fkutoNuZf3fhvJ0ve48cZVZIgQkiorlvt2XvdVqbJ8mTEyto/4/TUQE9mKxfqRpvmxwxGAhMhI1Xyl02eeotFwm3P1ig9LlRXd6ad3/SVE6NC5rlWCMQtgRK25WB+AELJcbhY5HEHPju1f1PsHnrUTiWFAiFwaGHoBezwVxOutpOVlXUI3so5lXXeiNas+Zk7P9ErRSDukVOGmUSgeO/6wMTl5BGJMaSjUxPP5vGUYeeL1Vhmjo3uFZenOtWs+JpWXLUk88NCnAQDn9L/AHk85drsiQjdyvKRnCj3HHyIeT4V70/pPu9au/qidTI3Nl1lgSgL+OuzxlBtj4weMoeGXWLGYFKaZd65Z9THvtTu+RAP+r1iJNxEmXt2m0xHwbN3yGffmDZ+xYvEBnsvPEZ+v2k6lxyFGFCCIaSjURLzeKjseH2TZ3LTS1LiNhsMtuVf2fQdJ0vfPaViLERGmWci++PI37HR6XCqLdMj19Zvk6qpV2OetkirKl0FKFaSpvvQTT3/VnJw65ly5/D4AAOCmWeTFUoqXSimprKyTBAJ1ck31Gn1w+EWWz8egRB1IlpwkFGiyU+mxwrGeB/WBweeEZevuzRs/I1WUL31tKFJF+VJhMyO75+Vval0dtyCHFgALWS3I5QxjpyMEMZbMmdmTub37/02prVmr1Favda1d/TEkSf/znPvIuA0gRFYiOSx0PSsMmIOy7HJv2/J5va9/lzU3dwZSSTNGx/ZBRXYr0UibVF62FAAAtI62nc5VK+6zZmZPEZ+3GmmanxtGrnji1K/MyckjgnNGQ6FmwLltZmd6sc9XY06f6OXFYtK5etX9UmVFd/yBhz4FITxwLmFTGGaelkXanStX3KcPDr1oTc+eVBoatiBK1XOdExBCKFVWdDtXrfgwdrujUlm0i4aCTQAAYcXiA/rIyMvWbOwM8ftqSMBf69688Q9YKj0uRSM/tGbnzrwhFggRlKgmSrYpDCM/3xDFNgTnzJqZPUUDgXoBhICVlcuhsnDPbJh5XiyljPHJw8TtLteWdN6m1NVucG/a8GmkKH/Odf03rpF2JjMFCVWUhobNtCzSCTGm+vDISwACAGXJgTTNRwL+2uLxE48Ujhz7qR2L9wMIoWvNqt8BEJy1ZTwNBRv8N9/wJa2j7QZzcvoYkGQXdjqC1lysDyqKG8qyk4ZCzdjlipgTk4chparW1XELjUbaM88+97eQkKcvdRkc9ngqXKtXfdSanT1R7Dn+kLCsN5yn3DDyXNczPJkcoWVlXbiv72kAwPSljGtR4FlkkXeBhZuds6+4C8FZOjNpOxwBJMsuJFHNisUHscPhf3ejfG8BKZGxyxGABMsAYwoJkZFT9ROfq5wE/bXFI6ceMcdnfn2jBgmhSFO8NBpsVtrqttDKSFf4D+/1Q1lyAM6ZsJkpDDPvv+/GEXsqdsoYHN9nJ9JjvKRnL9YEE6mKhxtmIff8wX9l2cKsY3XnHcXDpx/hmfys2tV8rVQV6dJWdtwGJaJCgqUL6bYEKZYBhEhYlp55fM//Kuw5/D2lrX6bsGw98f1ffhYIIDw3bPoCKOhpli3MvfWIb2PbGBMoEQVSqgIIoDDMgjCs4mKm2aXnvSDuIFlSkVMNQIzpq95a2KkFsN9dgb3u8uKB3get2cSv06MhJTJyqF6pItyhtNZtDn3m7jbk0HxQotqr30le0jP+D+0ctibnThqD4/vtVHZClIzc5d5fiCDEFMmSRhRMkYQlJMsu6iUyViuWBTDCiAIAQGos35+PlS7pjdoilw4EsCxBJVwE2b6cSPUAAMC8H897u3QfIoSUpoYt7o3rP2VOz/TasfgAjYRbAQCQhkMtSFW91ly8D2mK17lm1UfVluarjbHxA8I0C+6N6z9VOtP/DADgDavwNBrp8F13zZchwbI1M3tSWFbJGBs/yHL5OaypvuKpM0+Y4+MHid9fy7LZGV4oxnlJT3PLLGptrdcHbr3pbxMPP/J5AMChs8ZNqYJV1etYtuQO7HSG7VRqTNi2QbzeKrmqcgVSVZ81O3eaeFxlABOKfd5qY3RsLy8UU3J15Qpu2YZrw9pPAsZtfWjoRWN0fD+UJIdrzeqPsmIxZU5MHkKK4sVeT6U+NPwiQAhDBEmxt/cRuaZmjXvLps9ih+OLZ/PAgBBCx7KlPqQ5AtqSztut2dmTwOTMzmSmzJnZk7xQiJdOnXmK63pGqqpcQfz+Mm4YBWDbhmPl8g8ZY+MHzbHxg8bI2F6pvGyJe+vmzxGP56/sTOac1wekKG7PVVs/q7Y0XW1OTR9nufycsCy9eOLUr6SK8qV2MjlijI7vnxfCmcVLpTR2usL5/Qe/K9fVbnBv3fx5iLGMKP2Xs2XyCMYspGl+73U7vsyLhYSwmWknkyPG5ORRze0uMycmD0sV5cuYruewpgWkaKQdKYqLFYsJYZoFgCACEGKloW6TnUgO6/0Dz5qTU0elyorlzhXd98g1NWsBZ1b+yLGf0mCwQa6qXI7d7nK5umqVNT1zXDD+68k1L5XSUKIay2Snir0nHyE+b7Xa2nItRIjQQMADCFEAhCh/+MiP589Vq8R1I+dc0f2hwtFjD4BzebkRLCFN82ttrddBRfHYydQoEIJjpyMsVVYsh4rstuZiZ7BTCwKEKfG4K6zZudMslR6TqipXAM5sx4pldyNJduqDQy8YY2P7IcLEsbz7HmFZujk+cRhgTOSqim59cPB5iIkMARClk6cekyorlnuv2vqFxEM//0MAwFkbWnDDyLNcfs4YG9tvxRMDWnvrTsCZBSk5q8ADMSZKU+Nm1/q1n7BmZ0/ZydSoMIyCnU6Pc13P2HPxfhIKNrlWr7zfmov12en0GMtmZwDCxLtj+5+ln9r1P8DZunYhhLX2tp1yZeVybhg5c2q6B7vcUexxlwPObTsWH4Cy7BSZzJQ1FzsjdD3L8oW4Ul+3kYbDLYWjPQ/INVWrHd1L7yqeOPUrCOGu37j3gxBilzOiNNZv4aVSOvvSK98Stm2oLU07tK7OW6RwqMWcnuk1xicOaW2t16FVjvuIz1uN3a6oncq8ocQJu1xh/007/5QGAw3m9Ewvy+fnuK7nWC43S8OhZnNw6EVjdGwfUhU31/Usy+fniNdbpQ8OvaC2t93gu3HnX0L0BIYYP3YpM3mU2tq15tTUURqJdACEiGBv9D1khULCu327AgAQiFIVEqJcqnheZVHgeReAmFDJF2ggHm8V10spfXaq52y1xG97XIQQ9QUa5FC0HYD/Uj9ZMT+nT08cXnSvv3CwyxmSKiuXA85sgBC2k6lRO54YRA7NT4OBRqRpPmFZOsvmZuxkapgbxpvWU9JgoJ5GI20QYyps2zDGJw6zbG4+BVwALhgzkab6i4eP/ZQE/HVSKNjEcvkZRKlMy6NdkEqaNT19nBXO3g3nvQLECNNosJmEfLWQEPn1/+clPWsMju/juvmWBnpKS90m/707/w65HEEIAAQQQoAghhhTAABguUIcAHACYkxoJNDo2rZqu7ay4zapMtIJZergupljqewUzxfjAAJEo6Fm7HdXqpwzYTGDF0tpY2hif/HAiQeJ3/O8ncy8425TViw5tCAkFYFl64VXev6TVoTb1SVN10m15cuRJKncMAuAcRv7PVVIlpwAgLdVCvBqDb05MXdCPzH4rGPtkrtpRaQ9+9TLf29NzZ12bV31cShLDm6aRWG89XF+K5CquLDPVU687nLnlhVNUnXZUqk6ugQSIuunR14w+kdflhurJlgmP8sz+Vluvr+vO0iiCi0Pt2Ofqxxi/IbfUJbJzRgjU4ffjyVUanfrTb47d3wNKrLrv76TiECMiDCtkj2XHAIADEJKJBoNNruvWX+dtrL9NhoJNkGJqLyop1k6N83yxQTEmNLKSAd2O8KAza8m8nwpqQ+MvVLcf/wB7Ha8yLKF+OXYT0klWtWK0BpftbMhUO/u8Nc4mwGCkFAka345XEwbcWZyAyKITvxy9HsAgB9cjjgXeedgQDQZqGVO5OsSgNsYUpcuChMC8HfN/PRCoNFIh/faHX+OHY4QdjrDvLZmnT449AIvFlNY0/x2vhBj2ew08Xoq5f+fvfcOkOuq78VPub1ML9tme+/SatWrbUmW3CumGHDo8CABEvJIe4Qk8MsjL49QQuCRhE5iA664yUXFtrpWWkmr1fY2s2V2p987t57z+2NlI8mysYgNvAeff2fuPWfOPXPvuZ/z+X4+VZWr84cO/6sxMraPKy3pYCPhJniBoLwYSBS9vu3XvtOKJ065mrboFgoLAELE+H2V1HFMl+NkvjLWK1RVrjGnZ45DhuH4qthqaz45iATBq/Wdup+vrd7g3br5k1gUP+ZewRsEYsxBSfK7+fyCfvrMw3xl5eri+aFnuLLSTuC6ljU7e9rN5hJYVaJCbe1G6rp27sCLX2N83gonlQ4VR8b2IZYVhLqaTYgXVMbni1HXtfQzZx8hplmQOztuE+pqNxtj4y/YtmNgr6fMSsz262fOPWol5s7I3Z13Sm0tNwAAvv+qQUUII0n0A+La+ZcOfRMAANhIuBHxvJr++ZN/STRtUWio3+bdtuVTUBS8JK8l7cXFEeT1ltlz8wOQYXjP5k0ft2ZmThSOHPuuujr9t74AACAASURBVKb3Pnll99sgy37jSuUYEGNGam+9lvF6yrW+Uw9Q29ZdXU8xXm85VtWoOT7xEhsONahreu+z5xcGnUxmmq+pXu8sLo1hRY3as3OnrXjilGfr5j+yEolTEMIDl2+2UNsxloMZ5FDh2IkfEk1bZEsiLXx5ebcxMXGQLYm2Uccxtb5T9xcHh/a4mrbIhEL12OutoJalU0LcwuGj/+ZksgmxufE6z5ZNf2hOTh0BEEI3m0sYwyPP8TXVG/jysm47MXvaSqUnGb2YpqaZ0072/4SavzDhdgtaEomil6usWCU2NlyLFSVM9GLayRfmASUE5liRjUSa2ECgRthes8EtFJJCfd0W7POWC/W1WyBCA1ci/iFCDJKkADGMXPFk/0+5stJOY3ziBbdQWIAMI9hz82edVHoSSVJAqK3ZABlGzO1/4StIEDzY4yk1Rsf2E8vW5e7OO5EgeBiPt4wS1y6eH9rjFgpJqaV5l9TWeoM5OXWUmGaB8XjK7OTikD5w7ufWTLxPXrXynXJX5x0Qwq9dabOLOo7pZDLT1HFMxu+LOUupMYDwTngFBQ9ECPLVVWv8N1z/NxBCDBzHshKJU4XjJ34otbfdxMcqVgnV1eudTGbamp07g2UpyIZCDfbc/ABbWtLOREINns0b/htkmE9d/p4JIURIkUPF4ZHnsaKEuVj5SizLIaJrS8Q0C8rKFfdAlhEpIXbx3Pmn9Mmpw1Jr641sNNJsJ2ZPY1kKvryuF5sbd5jjEy8BAF5593Ez2ZnUo49/1kmnJwM37vo7vrpqrZ1MDgOEGWt65jg1jBwbjTQzPl+FMTK6D2SzcWrbRSs+e6o4eP6pS/6KLCuoG9e/kxhGVjvV/xNSNLLUdgzG740hWQm7mrbIlZd18ZWxVeZMvI9alibU1W6x5xcGsNcXM4aGn8U+X4Vn25Y/tuYXBsEb9Dr6VYC9nnLs9VY4qfQ4ZBgBIoQun6cQIeS/8YYAEgXPcuopvKJi6c3E7wmetxAQIsh4fZXBDde8W6ppvIaPlnQ4hfxc4oHv3AmuxK5e7fkxw6stXXdItY3b+UhJG7Es3UhMHcGSHFp44mf/7c1o43cREGNGWbv6Nrmr4w6kKmHG54uZE5MHC0eP/4ANBeuQooQRy4psSbQVMJizJqYOi431D5sTkwev9HILGYbz7dx+H2QQi73ecq6ifEV2z7NfBAD8EADwckSgAxmGR7IUILqeJkUjAwCA6tZNfySv6Lob8bxsxRP9vl07zlhTM8eteOKkm88vXIkp/k0BYsyI3U27vTdt/SxXHmmFLCO8wjsiiCFC2EllZ5b+9WfvBwA89bonAwCwpaEmJuSrggzDU3fZ6wJihAGDeUCIw5YE6xmfWuLZtfHd8ur2u9iycDO1nKI1megzR6YOWfGFAYggQrIUYML+aqTKYexXyyihBCCIsU8tlVa13S621283BsaeF1tq/7cxPHXwaslXiBCCLMMjkfdKq9pWYFn0ie3112WfePEfzcnEKSTwB8QVzTdQl9j6sbMPuencjOf6DZ+UetvvkFa23IR47pvUcSxAKHlDShiWESCCCIm8x3vzls9ChuFzT77wj9inlsnrut4hrWq9DUIISaG4ROnVl5JACCEUeZWvja3mm6o2ht5/WwsTDtQw4UANkoXAy4QkRIjhaspXge1rP+ZkcrPuUnbKSaYnvDdtPWdNJvqsifgJopvZX1dKBMQYQ4w4pMohtizczPg95cirRJEk+iDL8BAjlmjFtJ1InrOm5844yfQYtezi1ShFIMvw6rbe96vXrPkwE/JXQwa//JIEAYIYQAjtqdmTyW/+5L0AgP437bdBCAFGDGRZgYn4a7nyaCsTCdRir1oKEES0aOScVHbGmkicsOILZ6lpadR580sRufJIGw54KyAEiLrUBQAAiBEDGMwBjBgmGqhjQv4q701b3yuvar2diQbraNHMm6PTh83R6cP2bPI8ZDCHZNHPRIP1TMBTARQpRCklACEGB7wVyrqut4sdDTuL/cNP8nWxL1sTib5fZ3yqHBQi3XfX3YtZxBOXOrmENg4hgIRQFwIAvOVyjV10NIggtotuAWGIf+lJfweAISNEcOw2ESpVKTK3r0AyZyigNgGu+fJ9DUGEIUAsAJS61L3khRdCCBHAvAw9TX4c2cxDOWbR4myGJA9pJDvgACdP6av/qxgyggw9LRJS6ygAxKFWxo8jmwgllkG1aZ3mRzSSG3KAlbnS/RBCyLrA0TSSGbCBnROxWudQO/fbrErEkuQL3HLjH2JFidjJ5LCbzcX1gXNPmFPTR/lYrAcrShirSoSPVfRQSok5OXUYcZykrOy+hy2JtkGOky8/J8SYVXp7bocI4uz+g18VG+q2ic1NO4uDQ3vcfGFBqK5e72raYnFg8HG+tmYjX1O1jg2FGwqHj/x74djxH0KEMHVdGylyWGpruUHqaLsFIvSDV91fLyRC2cnFYWXtmvdBjFk3l5vDHjVKikZW6mi/1c3m4kTX05DnVWBZuryi6242GKzT+k8/iCUp4Op6Kv3E059b3iCBsDh4/ik2Gm1R16/9IDXNvDk1fQzJUlBdv/aD1uzsGSeVnlRXr3pP9vl9/whcYkldnXewAf8+O5WeunQQIIQsKyBZDsmdHbcZI6P7nHRmmtq2jhU5zMeadqgb1n0Yq2qJk0pNEKOYQaLo4yvKVrCl0TZSLGachcUhJ5efU9eu/gPG74txZaWd5uTUEQDAqxIz2WCwVmpvuzl/+Oi/kWIx471m6x/bc/Pn7IWF80woWM8GgzXm5NQRt6AlubLSTr62eoOby89q/ad/RorFDHVckyuJtsrdXXepG9d/1JyOHwcAXLKpQ21bB4S4TDjUoPSseDuxLI2vKF8JWVbkBF7VT5992ByfOEgdx+SrKlczfm+F1NZyozk5dZgYZp4uezXtAwAAdXXvOmIYueLAuZ8jRYlciMPugiwjFIdHnssfPf691/MVIbq+hDhOVntXvVs/O/BY8fzQHntufuBC+pjN+P2Vvuu3/w95Zfc9ub0Hvuzq+pI1PXNcqK3ZJDY17cgfPPJtsJzseCkQYpbJwbmzcnfnndjrLbeTyWHG768kplkQW1tuIPn8nKvpKcjzHgghEltbdnOl0Tb97MBjkONk4Lp25omn/xoAQJEkBfQzZx9lfL4Kz/q1H6Sua5sTk4chz8nqurUfcFKpcSedmVTXrP6D/MFD/yd34KWvq+vWvF8/N/gUAGDoCj8dMn5/pbJyxT35I8e+JzY17sCi4ANXuh/xvEdZ3XMvRIihhDjEcQwAEfZu3fJJJhSsM4ZHntfPDjwKGUYQGuq3MT5vReHYiR9yZaWdxDBy2aef/YLU0X7LhfK4o5fMBUqJPb9w3s1mZ9hAoNpJZabsufkBrqy0E/K8kj94+NvuUmoCqWqELy/r9l+/43/YycWR4vmhp7EshwEAwJyYPIhE0Sc2Nl6b23vgy+AigueCUm0WS6KPEkqsmZkTZnz2FAAAsYFAFfZ5K6hLnPzho98xJ6cu6dslYwAhFOrr1vCxip7M08/83XIJ1Kp3GxMTB510ZlosK+tCHCcbQyPPcRXlK7iy0g4mEKg2JyYOFk6c/M9ldbBjiM1NOz11tVvUNb33QYz/8q1S8RDT0qhh5rCiRLiSklYnnZ6ECKUAAAQsb4RhNhJpxIoSoZalIVH0gV/D8+X3BM9bBMTxklzftMW/ZssnWa8/VhgeeJy6tiVW1m3iAuFG8KYQPJhlPL4KLEp+6ro2IK5tzc+eluqad2JJCb8ZbfwuAmLM8lWx3sLR499nfN5ytrSkTWio2+aPRlrcQmHBzS5Hg1Li2ubQ2AFnPnleaGy4lo1EmpAo/OhVJmeEOEjgPQACYAwNPwMghFhRI79oECLG56tg/P5KvqpyDQAA8LXVG6jjmvqp/p+mH37sM1xFxQp5ReddjM9XIXe230oJcfXTZx9m/L7vOOnMzK93hK4M7FNLPdvXf5wJ+ipzT7705ZeJEuxRIkJr7Ta2PNKCFCnIVZWtBL+E4IEQQv87dtdSlziZh/b8bfHk4GNIkYLymo67lE0r3wMFXhU7G6/nqspWsiWhBjdfSBZePPl9ayJ+AmLMsRXRNs81az4MGMQCACET9ldBjDm9b/Ax8/zEAaIV0/LGle8Wmmu2IFHwiCuab2Qrom3ZR/Z+AXHsj69GhcLXV67z3bLtz5lIoA7Jgo8S4iqbVr6XaEaGjQbv9964+b3Y7ykv7Dv2r6Ro5ty8vpT56TN/5WbyCXld59u56rKV5vDUQSeVnRFaa/NUN7IAQggooPZs8vzlPgmQXVbwMJFALQ54K+ypuX55Xdc7rPjCWSbojWFVCQMAACnoS69nXHfFcceYEZprNnh2bfwUV1vei3heoZatAwZzSOBVZyE1Ujw9/LQ1Hj8udjffwJaHWyHLCkzQV4l4XuEbqjZIjmPRoplz0tkZ49z4XrG19ufW9PxpN6+9Jb5SSBK9bDRY79m5fovQUruNLQ01QpYRXo4uhwgxAAIIOVYEhBKiGxlimgVraq6/eHzgYTYS2O8sZabeSJkeFyvpULet/iAAgGYf2/f/LT+kIWAi/lqxre5aHPBWMCF/DRsN1oM3geCBCCHsU0uFtrpmsa1+O99YtYEJ+mJQ4BTIsRJkGR4AAAEhDrUcgxSNrLOQGjPOjj4rttbttxdS4242P0dfx1D1avoS+vBdddQwC6mf7PlL8/zEAexRIvKmFe+W13W/AzIML/e23yF1Nd3AhHyVbrYwl9979Nv25OxJJPIetiLaJrbXX3eBCENsJFgHKKXa0TM/MYenDlLbMdQtq97H18fWYEUKyGva7+YqIm2Zh5//W8gyj/w6FFGcxCor31H/Pk9UjM0NpI9xEqMqEbECQADkgBCFCCA9ZS7wHtbPCoxkF13NtX+7lR6/LmDAyGFccZOCfG1eElxjUTNJAbET7vgPRKTEeSiWRXBlzIuCqykAlIX8F21qpgEAAEPMe1CwM4TKd0WZyjtZwPlc4Bp5kj6lIF+nTa10mizs46Fw0AJm8mLypZypf58fRTcjiHid5IZFqNRY1FxUsK8NQyza1MoggNgR+9RfgQsvqhcDAsQwkPNIyNtsUj3OQyFMAfmtVt+x4VCD2Np8vTk+eTC3/4WvmvH4SUABVdetfp+6bu0HnKXUROHw0X8zp6ePEdPSAFn2KIEsK/JVsV65q/NOcplPBFda0ubZuP6j5tT0Ec+m9R9jo5FmaybRRy2zoK5b/T799NmHC8f7fkyKxQyWpG9BjpXklSveLrW33sQMjTwLMGKwLAet2bkzjM9bIa/ours4NPwMuKxsBTIMDyglQm3NRmDbRWNy6gjieQUJos9NZ6azew982YrHT1LbLmKPp9S3a8fn5M6O23MHXvw6VpQwkqVmc3R0P4AIS7099+YPHf13NhJpkjrbb8vuee6L1tz8AIAAMsFgjXfzxk8I9XVbIcI4f/Dwt5Eoep10ahIJvIevq90MIfzhFYg8iHhOdTKZGf380B6IMcsE/NUXPFAaAaXEzefnss/t/Z/Fc+efAoS4bDTSrG5Y+yGxseFa7fjJH7PBQA21baPQd+oBZdXKd6rr13wQCUL/xZ4liOcV/w3Xf4QJBmqEmuoNbCTchBhGMKemj6rr13yAOq6VeuzxP7PnFwYRx4qQ51U2Gm3x37jr7/jq6nXG6Og+LhbpoYaR1ftP/4yvqVon1NVuBgA8cfGPIZalu7q+pPWf/hk1zDxkMFc4fOTf5e7uu51UasLJZmfkFd13G6Nj+4tDw8+Z09PH7eTiqJvLJah1qQKY2FYRCYJHbG7aaS8ujpCikWX8vhjieZnoxTT4JRuObi4/l3ny6c9bcwvnnHR6ilyk7rmAMaVnxRNiQ/02JhSsw5Za4qQzU8Xzw8+oG9d9mPF4SgEAE5efF2KGBRAivqpyNcCYNUbHDgBKXSTwHqLpqezeff/bnJw6RC1bR6Lg9e647i/U3p535148+C+QYUWhtnqDOT19jJq2pm5c9xH97LmfY4+nVO5Z8fbcgRe/bk7HTwBKCePzVqgb139Eam3eDVubd+cPHfk3SohLdT0NXNeR2lpvgAgNU0IumVOQYVjIMLzWd+p+UtCS+SNHv4N93nJiO69aZ3Il0VY+FuslppWHCGKuJNrGlZa0u7n83NIDP/2olZg7TQwjByBEzNET3w/ccsOX+KqqNfbCwnlAAXXS6Ulrdu6MUF21DkJ47PL5DRFmmFCw3kmnJ2kqPSHUVK1HkhQoDg49nXt+3z+6ufwcZBgeez2l/l07P8/X1myEDObsxaURQAjhysq6IMPwiOMUJhioAVcoS6OUEmpbOhstaQOY4azpmeOUEIcNh+oBoJTo+uumTyJVjXo2b/wEAJTKK7rvZqORFqJpi3ZyadR7zZZPWYnZ0+l9L3zFzefnkSB4llPYard4tm35NFda0uYsLY0zofJuN5+fM4ZHnhPqajdzpSUdAIC3JFzJzWZnaChUR0wjDyghno0bPmovLJynlq1TQhwkCF7G769CvKDqIyPPsyUlbcSy3nKPt98TPG8BWK+/Mrjh2g8IFVVrAQDQyiyN85GSNlfXFqljFwHGb078JkIM4jg1f7bvP1l/qK44NfZCcWbykFTbuB1xvPqmtPE7CMixEhMI1LAl+QUnuTjsFo0M0fSUk8vNQgAoUpQoE/BXOkupCTYYrAUUUDebiyNViYgtLbsghPdffFOlhBDf9duTy/4sZgEACCHP/yImHUJIIQDFs+cep45j8FWx1UQvpoqDQ88Uz51/iquM9XLlpV3WTLwPIMxS29IhzytSW8sNWFEiiGM/89tQFkPy2qI1mTjJhHyVhRf7fuDML42wpeEmz+6Nn7am5/qdVG5GbK/fjjxK5JedC3KsyPjUUuC6tj2bHKQusdWtve8Xu5p2uzltkWFZiYuVdNISx7Rm5s/YieQgE/DGxM6G67FHiZoj0wf1/qEn7Jm501xl6Qp5ffc7qGEViFZMS6tab8MeJQJ5TrFn5s9AnpWZoK+SiQTqfHft+DtKiAtZ5j/e6Aul2Nmwk6sp6zEGx/db0/OnSV5Lil1Nu7mq0m6xs/F6pEohc2T6kLKp572QZYTcnoNfs8bjxzIPP/8FN51LeG/Z9hfK+u53AQCAOR4/pp8cfExa2XIL5Dgp+U8/vB0AcO6SsWEYHkCElhVRqWn91PnHjTMje8QVzTcS3cjas8lBvqZ8FdGLWXB1/A7gqkq7A/fe9BUocqp5fmK/NTl7kpi2Lve23eEk0+PakTM/wV4lKq/vficp6EupH/z8j5QNK+4lpVrSODe2V2itu9YYHN+HllVM2z27Nn5K2bLqfcX+oSeF5up/NgYnXriqDr0OIMYMX1PeE7jn+j8Quxp3IVkKWFOzJ6njWk4yPeHmtUVrPH6M2o7BhPzVytZV7yO6kdMO9f8Y8awktNVfJ9536zesicSJ/PNHvolE/kFSfNWC8xLY80sjzmJ6AvKcnH/uyL8QTU/zdbE1nsoNncX+4Sf4+tg6tjzShiTB91/9fdirRpWtq26Re9vv5GorekhBTxOtmL5QGvbKM4Q6rm0MjD7r5goLbFmkha+LrRGaazYTw8xbU7OnzOGpg1JX0/PG4Pi+K5mqvlFAnlOwR4lSyy7as4tDACFG3b7u40JzzWY3nUswQV8lX1vRSyxLt6fm+u25xSG2NNwk97bfiURBNc5PvKAfH3jYTiQH+frYWrxWDrmZXAI4riWv67wHq3IYcqxoTc6eQpLgxUFvjI2VdPrv2fUl4BIHMvixt0KVdDHUqFgRqFKaCkkjEVsV3qpGxQpt0Zg18na2kCwmbMPVHcPRXYuYlFKCMGKSw9k3Tan1fzsIcM0Je+B/6TR3XkWBlREcu7UJ9fxDkRYmRajWJtzR7wAAMQc5LwTL/mPLyp/KW30ospEA1yiQ7FkMsGhTMyUgpYoBjGxRY05F/i4V+jpn3OFvgYvKWkWoVGdJ8hABxHapW6SIOj4UXs9A1qOR3PklEn8yiqvfVs7U3YcgPkioe2nZAoCoQDLnNJIdxJARHeBo5Led4CmJtjpLqYn0z5/4CyebSwi11RuQKPqE2tpNxDByqQcf+aS1sHAlJQEAAMQRxz1FLyrhhwzDBu+6/aNIEDyUUMJGwo1IFP2QYyV1/boPGSOj+3IvvPTPF6kx5wEAAMvSv4gNdVtD99z5LWJaBWsm3uekUhP2QvK83N11F18Z64UQPnLxegjxnAJc17ESc6fZaLiZ8XnLl02h9VTm2b1fKp4feuaivmb4ivIvsuFwg7ph7QfthcVhayZ+gq+t3Ug0bUnrO/WAPTt72rN18x/lX3zpG8WR0f0XHZtkPJ4/Dr3tzm9yFeUr2HCogQn4q/NHj33PGJt4kSst7dBZVgAA/ILoIsR1C4UFZyk1pp8ZeBSrSkRqb7tZ7uq4nSsv6yKGmceyFEw9+MinCkeOfveCGTsAACxgjzoYvP3Wr3i3bf6UNTt3hhhmPtjb8y7IcbKz6BnjopEWcEFRARGCUkfbdqm97WZzeuYYE/BXsaFgrb24NCq1NO/CshJZvP8nH7IXki+XlVgAgCxkmHntRN9/+K675r+ra3vvc5ZSE1Zitt/N5+foL0qMXiCGkX/5J1HL0iDGnFBdtS63/4Wv6mcGHqHEdazZ+QG+MrbKs2XjJ3J7939ZPzPw6EXpYlecO9S2deC6dvH88DNIEn1iU+MOdjltCkNm2RsQLKsWrghX1zMAgJ++1ucAAECKRtbN5+ep4xjW7NxZY3RsP1y+ToAtibaBKxA8iOcUQCmxZ+fOMgF/FeP1lLrFYoaYZj6378A/6f1nHrxoDmbYSPjvuWikRVmz6j3OUmrcnJg6xFdVrSXLCrUnjJHRvd4tm/6wcOzEj/SBwScvamoRicKfIJYVhcaGa5lgsIavrlqj9Z9+qDg0/CxXVtoJOU4BAOQv7h/EmMPL5WEbiVZYxD5/DLKsRJ1LSVaIEPLfcP1N1ky8z8nm4pBlBAghltrbbjaGRp5jfL4Y4/PFLhkvy9bEyspe6jimFY+f5GKxHqwqUSQI6oUSsFee+RAASG1b1471/XDZiLikDSCEAaVkWZFmvqxcNAAA40J11VeD4XBD/sVD38KqEpa6O++i5jIxAVlGuOD59eKrLiKlhFq2Ti2roJ8deEyoqdkg1NVswrIcIpalXcm+4aIxwJ6tm9/JVZSvKA4OPc2EgnWMz1tuFgoLSs+Kt5OCtph95vm/dwuFl8u3F5fnAP8zvqZqnX/Xzs8vz53ZM/ZCcshJpSa48rIusaVpJ2SYgTfDHuVymNPTR/lYxSrIshJAmCkODT+rrFz5TiQIHmN8/AU3l5stjo4+z1dW9kodnbdrp049QPS33m7j9wTPmwTWF6hSW7vuEkorVpbe+o5SNhCqtzOpCSMxfVSuabjWSi2OiLGaDQBC9GZJsyBEDOIFD+sP1UOMWb6krMvJZWeIbWmI51UIIfxtlhn/tgJxnAw5VqSGmbOXUuPUsjVaLGb46sp1Ukf7LdRxDHspNc75fDHILu+sWAgxECFG6my7xc3n5iCE+y8heUyzgPy+SiYQqEayGIAM/sUNjlJKND0FZTkEGYZ3UulJpBczEELIlkRbhdrq9ZDnVXt27gxAiAEAAHt+bNAcHX9BaKy/RmxrvRFC+NPf9LWmAFCAMYNVOSL1tN7iJNPjUlfjbmN0+pBxZvRZZeuq94kd9TsQz0oQI/y6igmMGIAxSx3XooZVkFa13U4dx8w+tu/vxe6m3UzYX00ppQAjhi0J1mOvEgUIYXtm/mz+6UNfc9PZOBR4RexuvpGrLO2CPCsxIV8VWxFpczP5hDE4fkA/PvCgm84nsF8tk3rb71DWdt6DvUqJ7/br/tpN5+IQwud+2ZgyPk9J8L5bOnLPHPp6fs+hrwNCXHlt59sgywjAdW1zbPoIE/TGuOqylcW+c48WXjz5fTebn8depYSrKV8p9rTe6iTTE/bc4hApFFP5Zw//C1sebmaCvpib0xbBFUoSls2ZATLH48dTP3r8024qO6Ns7rmPGmYhu//4vwfedcOXAQCAOq55tQoerrK0C3mkcH7Poa9ph/vv52Klner2tR8jplVwtWJa2bjiXijyKvappeb4zFF1a+/7mWiwnpqWTkxLyz5+4EvAJa6b15L5Zw5/Q17b8TZ5Tefdcm/7HYxPLeXKIx+x4gv/ZWUhVuWg96YtH1E2dL8LYMwUz4w8rR0+/QDRjYx398ZPY69aor108od2YnFQ6mm5mW+q3mQnkuczDz7718bg+D4k8Io0PX/Gd/u1n+Nrylcx4Z01Ynv9Dq6y9Et2fP7sa85NSgnEmGNLQg1iR8NOyLOS0Fi9STt06j/M0Zkjwffe8s9srKQD8qwEEYQXvQC8YSCBV4SW2i3hj9z1h0w4UGuOzxxN/+jxP6aEuMqGFfcCiPByVygFlBKiFVPa4f77ran5frY01Chv6H6X2NGwEwAA2ZJQI18bWyNv6H6XNRY/KnU3f8sYHN9LDPOqvZkgg1mIEUNtxwAuseU1HXe5eW0h+/j+L8mrO+4CoeX/JMQMx5aGm3DQFwOUAmtq9mSxf/hJktOSUBJ80qq227hYtAOymOdqK1Zz1WUrnVRupnh6+Cm979yjJKcnmZCvSt7Q/S6pu/lGJuSr8t25/W+cTC4BADhytf2+GmAO8QyPBYggZngs9t0/9s/xvsUX7KKjuRYxXYfYv8o1/V0ABZRAgHAF0/DBNJnfZ1Fj3qWOBiCgPBRL8iTVZ1I9wQOxDAKECVgu0Qqgkmuq2bbPaCQ7sOTOPuMiO+9F4XUiVGsdamUZyPkEKFcaVJ9Rsb/bouYiAOAbL7drU3MJQ0ZxiTEfwJHNPJTKMGQVBCDrACvLQ6nCINqUBwdWelBgJQDg0MX9hgBikxbjGbJwwIOCqwh1TQrI4LcojgAAIABJREFUr60k8FcB9nkrSLGYRrIcEiLhJj4W66GmkcdeT1lu34F/shcXX9dv4vI0IqGuZpNQVbnGmJg4SC2zoJ+d+TkSBK/Y3LQDe9RS7WT/T65UautqesqzacNDQn3dVmt2/qw5PXMcSaIf8bzqZDLTYkvz9frZc48DAGwAlpW5UlenzIRCdVJH2y3O0tIY5Div2NRwnZNKT9pz8wOXt2HNzp3OPrf3H/y7r/88VuQwX1O1ARDiuPn8HBsFgIuVr0Ci4LtQnnRZ/wrJ4tDws0J97WauMtarnzn7CIQIcdFI88trN3ARwUMJIUJd7ZSraUtic+MOtiTagnhepZatF44c+x4fi61CguA1J6cOX34fcHP5Bbmj/Ud8VeVqgBDDBHxV9lJqwhgZ3Su2NF/PlpS0vayoQLIcVtb0vtdZXBwhmrZozy8MmlPTx/hYRY/Y2rw7/8JL/+ws/sKs/pX+OY7NlZY+pa5e9R4ky0FjfOIlatka9nor7KWlMb4ytooNBWsBAKdeOcaydECIS227CFlWkDrabwUQIq4k2qqsXvUe7fSZh4rnzj/5etHxF58LCYJHbG3eZc3MnDCnpo9ZiUS/Z9OGjyGOV+Dy+vSX/ncQywpMMFDDRiJNiOcUJhJutBKzp51UekKsq23FihziYxU91HFMLMtBY3TsACDEYbxq6ZXOBzlOZny+mNTZcZu9uDgCAYDKqp53UcvSzXj85OXrOGdxaSyz59kvBG656R+QJAX4mqr1gFLq5nIJgBBmI+FGxu+vMienDl/eFikaObV31R6xtXk3X125Rj898Ci1bI0rK+1go5EmLEkBcBnBAyDExDTyhaPHvgcgRHJ15RoIIaSXKXiwzxcTams3YVUJm/HEKTefn4cQYXspNQYFXmXD4YaXLQq4ivIV1LJ1rqy0g1imJlRXrhEb6raaM/E+J5WexJIUuLCR/ArBQwGgxDQL1LYNJEkBxuetoK5jUccxudKSdrT8f3hlbWDNzp0tjo3tF5sarjPGxg+42VwCK0rYSS6OIKHCwwT8VVe8wIQSYlmaUFpyDV9VucbNZhPFwfNPO4tLo2Jr8+4L7VwRbDTSJHd33mVNzxynjm1YMzMnzPGJl4S62i1cWWlH6pHHPkO0V6vBiWlqUnPTg1JHx23EMHLm5NRhiDCLFCVsLy6NiU2N2wuHj30XADD3Wm3/qnALhSWxvv6Ad9u2zzBeb3n2wIGvFEdGnmNUJWrNzJwAEECxvn4b5FjJyWRnioODT/46ys5/T/C8CYAYM/41m+8Mbd31eWIaOW108Elt7PweLhBuEMoqVmFZCTsTo3tJIFQPIIROPvdfNnMFAACAEOYCoXobY85aWjjv5LJxR8svEKOYQZygAogQAOC3Kn72/wZQQl0IIXLSmWkrnjjFRSPNTDBQy1aUdxPTzKcfe+LPjcGhPWxJtFVZt+Z9XGm0DfG8AllGALZd9GxY/+GluYVzAIBXEowgx0lYVaPG8OheN5ubpbZ98U46BcseFIhYVhFAiIhpFsx4/KTSs/IdYmvzLrdQSGJZCljx2VPGyOg+N5ebdVKpSez1lAn1dVuKg0N7AACvMjT8tcJxTKIV01DkFe8tW//cHJk+XDw+8JCbLSwIbbXXCI1VG5eNqRjuggLhjcxNCgCg+WcOfZ1vqFzvvWnLf+drKlZZE7N91LYNvqFqvX5s4EHt6Jmf8g1VGyBGrNBauw24xDYn4ifMsZkj7lJ2mm+u3uwwqTFjYOy5Yv/Qk9RxbS5W0i52NO4Umqs3M5FAnZPJzwEAABP2V3t3b/oTa2quHwCQfK2OQQih2NHQyQR9ldlH936RCXpj1CUOUuWwfnzgISbsr2Erou12IjmoHx94iNquKbbXX8dEAnVcrKQTUEqKZ0efdbOFeWV91zutifgJJuyv5ipLuwChFCKIXib0LmsYAUrd4snBx9x0Nu7ZvfFTtGjmzZn5M/K6rrdzsZJOAJaVHVd7CYlh5oFLHCbsr/HeuOVPpZ7WWyGDOTdbmCNFM6f3DT6mXrfmoxBjFity0EmmJ7jqsh47m5/nq8tXqteu/Yibyc0u/fvDH7Em4ieIYebcnLbg3b3x03xT9SZ5Xdc7EMd+kVivjpF8o2CjwbrAO3b/pdjRsKM4MPpc/vmj37LGZ44z4UCNes3qDyNFCuSfO/wvlFAn8J6bvio012yxxuPH0/c/9Vk7kRwUGqs3CO312+XV7Xdhn1rqpHIzEAAor+t6OxsNNaT+44k/AQAcuFLb1LA0YloF7FPL/O/Y9b+Mc+P7iifOPQwAhNKqttvY0lATAABClhUuEDFX9RDHqhzw7t74cfW6dR9DkuA1x2eOkby+KK5ovomvi63GXqWEmpZmzSYHSdHMMWF/NeP3lHtv2PIZYpoFHPBWYEUKAUJJ4cCJ7wIKiLK55z6sKmGhpWYrV1Pek9979NuMT/2Gk8lflbn3LwYBUOo4ZvbxA/8gNNds9t2y7S/Y0nCzOTp9GCKIuaqy7sILfd83Bsf2crWx1YhjBLGzcRe1bN0cjx83hidfcpYyk0JzzVaaSA4ap4efKp4dfQYiyLCxkg65p+02vrlmMxPyVTmp7DRkMMeWhZu9uzZ+GonC+0nRyP/yTv5qoISS/HxxxjXdop4y5idemnvKLNhvWXv/L4EC6hLg6AxkVUKJ4UPh9Srydei0MJojqRNZkjzoUqcgYqUqT9KnCXANBrJKG7fuXkqJzUEhEsJl12PIqkl3+uEsSR0XoVwdxVV3mlSPA0DJmH36bwMoupmBrOxQWwMAAIsai2FUcVMepU8lnPHv6zQ3TIBrRnDs5kqm+RNLrqPZwEoViTbpQ5GNEMIjF3vxQIhYBBDPQ6mMgZwfAEoQQNxvbiR/OZAgeAClFMtyiI1GmqhpFpAo+YHr2tZMvO/yEpHXA2QYzn/D9Tup6zrG6Ph+N5ebY6PRFjYSbuTKSjrs+YVBUiy+5m6zOTl1mJqWRnRtCVBKIELYzeXn6HKiUg+SRB94+TkKIYQsIzip1IR++sxDUmf7rcB2lsMq0pmpy9ZFAAAAqOu6kGV+yvh8Fb7t1/xZ4WT/A85SahwymLcXkufV9Ws/YC8khy+PbAYAAEAocdLpSSgIXuo4BoAQCk2N25Ek+plgsBYtvwBfmjS5nDrlZ4LBGnt+YZDoepqYVp4rLelgIqEGoutL9DWksdbs7BlAXAdxnGzFZ08hUfQBCJGzlBrnYuUr4an+nwAACmw4VMeXl3VrfafuLw6P7sWKHGJLom1ceVkXEgSPvZQafy1vOGdxccReXBrlGFYgejGFZCng5vKzWFWjSFEibDTSAhE6/fLx1LJ16roWMcwcEwzWYo9S4iylxpAih5DAq1Y8cYq67htSNVDHtajr2hBCBCgAbj4/ywSWAzWQLAUuVCe8rpocy1LAs2nDfVJXx21uJptAihw0p2eOY0kKKD0r3s6VlXURvZjJv3To/5gz8T42GKi+YOaPIS9ckRiALCO42VxCP9X/U6GhfhvkONm9YOBLTPNV929KCIEIPZnz+Sr8N+7+gjU9c9yanz8HWVa05xbOKT0r3u7m8/OkWMxc8Rqk05OI42TgEhdQ4oqNDddhVYmw4XAjkkQ/AGDy0g4uq3j4ylgvUtWIk8vPI1kOUefS0mk2FKxjAv5K7PPGmIC/2hgdO6CfGXg0+9zzX3KyuQQbCTeJzU07AADUSWem9FP9P+WqKlcDAKDc1XkHV1baycdiqyDHyYAQ50ox7BBjlq+t2YBlKWgvJM8DQlwA4PI8oZeSfMQ0Naml+bnQPXd+kxLimBOTB7FHLYUMKxDb0l8nCYpSxzWp4xiQYQTqOpaTycW5WEUPxJhDshy84nVECCurVvZgVY3o/WcetOLxPiYUqmcj4SauvKwTEOK62VzitTZezZl4H8nnF4hladSydeQRSt1sbhaJgpeNla/Efl8MvAUEDwAAGOPjLwIIvqSsXv0Ham/ve9x8fg4ymGdCoXp7bv4sG440GaNj+wpHjnz3IvXRW4rfEzxvBghxreTcgJPPxq2lhSEsyWHZ11zDqJ5SiDALEWaluqadxszEwcLg6QfN+fibUgcIMcNDhBgIEeIC4QbE8rI+NvSMaxTTy3JJ8HuC51cAKRaz1vKiJuPZtOGj/HKNqp8JBKrz+1/4WvHc+acuyPxOYFWZDr7tjm9w5WXd1HFMJhiooZalseFgPbiU4JEBAACrahSrasROzF4m64eQuq7t5gvziONqsKqGxcaGa1xNW1z8jwc+4Gayccgygrp+7QfZkmirFU/0k0JhwZqJ9/F1NRsv7Br8RgkeSihVt62epaZdhABCaph56hIbOI6JZCmAA94YoJRAlhHeyEIAgOXYca62vJerLutRNqy4lzqOkXvqxX+CCDFCe/11xuDYPnNs5pi8uuNuJhqos2cXz2svnvwBKRo5NhZtF9vrt1PbMYp9g4+6mVwCyqJfWt1xF2QwxwS8MXFly01EK6Zzew59zRgc38+EfJX+26/9HF9fuVbubb8DIvSt1zThZTDHVZWtRKoc9tyw+TPOQmqseHr4KeyRI1xNeY89M382v+fgV8WOxp3qjvWfwIoURLIYcJayU/qxsz+zZ+bPctVlK5QNm+4lejFDbadoTc/12zPzZ9iSUCP2e8oveKxciuV4ct0t6CnPjvUfF5pqNtuJ5KAkCt5ld7oL5X9vcNF2MUhOSwIIodjVtNsYGH0u++i+L9rxhQG3oKfcVHYa8pzMlkdanfmlEUqI67txy59iRQrajmshjxKFDOYKL/R9j9qOoe5Y/wmxvf46HPRWFPuHn5JWt98pr+18m37s7IMAgL6r7RsAADBhf1Xgnl1f5Bur1uf3HftX/fjAQ246l5DXd79T7GjY6SykRgv7j3+Hr69cJ7bXb0eyFDDOTxzQXuz7PlddvlLdtvqDkGdlsatpF2QZnhpWAVBCnEx+FgAAuOrSFWJb3XXgtQgeQtzgvTfFgUscCACgRTMLAKXUdgwm7K9BouABAFDIsxJA8KoIHibgLffddu2fyus6304d13KWstNcVVk34/eWQ56V3Ux+zhqbOQo5VkaKFEACp1DT0ounh58unh15FmLMenas+zgxrDzRixljcHwvXxdbY03NntKPDzxM9GLac/3GT3p3bfo041VLmID3b5xUNn611wCpUoivrVgtdjbtktd13kMK2lL2sX1/jxQpKLbVX1vsH3rSnl8altd0vg0HvTFrcvZkYf/xf6O2bXCVpV1iR8MOaph57XD/f7o5LYm9SkTZ0H0vQAiz0WC92NW4y0nl4tlH9n3RHJ85xlVE2703b/2s0Fq3Texu2g0Ruv9qXmCvBhBC6NrEsk23SNPWohQQIohBOnF++e727zooII5DnXyBZE4zkPEsuvHHLWouGrQwxULeRyixLGok553Jn2o0d55Q4oRxxdbl72gzDOS8CvS1TzmD/5QmCy9SSh0L6rMy8jZHcMUtGTf5kgJ9bSzkwzyUysGFMpKkG/95iszvNag2SahrI4gYCCBOuwsHorjqbgqoa1BtSiOZs35cso0BrAouelZCABkWcn4MscRDIWIBcxFBRvpNjeMbAWRZEbKswEYjzW42G7fT6Ul17Zr3AwgRdV7t6/F6wLIc5MpKO510ZooNhxqk1pYbkMB7LoyMYCeXRl7rRRcAAIimLTrZzAwbjTQTw8xTy9KQLAVdrbDIhIL1XGlpOwDg+Ze/jxhGdPP5OSRLQXN0/AWAMaeWl3XbC8mh1yopprZj8uVlT3k2rvuIUFO1zuI5pXD85I/F+mVvDe3Eyf+84nGUUqGuZhEQ4ljTMyewLIXsubmziOcUvqpyDVakEABg7JKDGMxhWQoC4jpWPHGKmGZe7uq444KaR8n3nXrAWUpNXqk9t1BYcAv6IhsK1rmFwoJ26vTP7MTsaaGp4Vqpve1mJAheAECBj1WsIoaZo4S4cnfnnctJYI6JZClILUuz519b5Ups2wzeetMoX1W1Vqit2WgvLJzHAX+VWygkIQSQj1X06KfPPgIuKDcopS51HNNKJPpdTV9iw6F6tqSknfH7YpDjZJIvLLzRqgKIMftKeQ3DcGJ15XYky0Frbv4s9nkrLnz2moQ4VpWwb+d1n5U6Om41Rkb3WrNzZ6W21hsBgIgtiTRDlhUKR45910mnp5AgqOq6Ne9nAv5KJ7k4AhFiXsu7BbKs6OraEhRFr5VI9FNCXaW3514nnZkCrzGpKCGEDQX3eLZs+kO+smIV5Di5cPTY97iysk6htnpD5pnn/yd4DVWTq2lL1HUtcyZ+AgmCZzkpatm4GatK9FUHOK5NCXUhy4rGyOg+Nhiso6Fg7eVrNKwqESebTeQPH/kOluUg9qglfHXVOqzI4eLo2D6IMAsxZommLRbPnX+KCQbrxPr6bdRxTOC6thVPnKKOY9jJxWGsKhFKLtvko5S6+fyCm8lMA7A8X6ltF7nK2CqIMYdY7lX3PXtxcdhJZab4ylgvEwhUIWHZagKxrEiNV5NnL18SiDGHeE6hjmMgVY0ItTWbqGVrrqYvMj5v7IoHsazAxSp63NwyKaOs6b0Py0qYEtdCPK/ayeSQc6HvVwI1zYKdSo3zFRUr+VhFj5PNxrHXU0Y0PQVZVuBj5SvBZcbTbxao6zoQwn3W3PwAVtUSxHESwIiFAEJi23pxaGiPk80m3ooSsdfC7wmeNwGUUoo4fp82fO5xubH1RiebnnK1/LyRmDpqZ1LjVmpxxF5aHHaL2hKxzMIbkUK+EUC4HMDkaPk5ayk5DIhrU0pc6thFiDB7UXL673E1IMQBFFChvm6Ls7g0qvX1P8AE/FXq+rUfdLLZ+MVGcm6+kPTv2tHPrSp9pz2/MKifGXgEK3KEKyvtgAgdeoUcQBBb8fjJ5bhKJUIs+5ISCcgyAlda0mEaRt5ZWhrFPm855Dkl+/RzX3yZ7YUQQo0/+WN147qPGLIcBIQ49uLSCFtS0gr5V6di/CZA8oUFohfT+onBR3NPHPhHohtprrK0G/GcXNh37NvqdWs/BnlWXk7Yeu2FwMuAIq96b976Z85CekzvH3rCWUiNiZ0NO8XWumugwCl2IjmoXrP6Q9bUXH/+mcPfoK5rC41V68XOxl1OMj1ujsePMT61lKsuW0k0f7U5kejTj535GVdZ2i22118HMebs2eR5QIijbFr5Hr6mfBVSpBBACEs9LbfqfeceBQBc8SUYcazIVpZ0Yq8coYaZt2cXz/tu3vrngGU4/djAQwBQylWVreQbqzZaYzNHC5OzJ7FHClHT1tmySIuyqee92K+W24nkOWtm/gxbWdoltNfvWPYD8te4WW3+irXKEMKXIxb14wMP68cGHnIL+hJWpIC8tuMeohXTWBb91CU2uEoTHjevJallF928vph9bP/f23OLQ8sJHIEaoa3+OrGjfjsXK+kCGDNI4BQc8FaQgr4EAACM31PuzC+NYlkKKBu630UMq2DH5wfcvJYs9g89ydWUr2IigRpxRfONEMJXyaZ/GRifp9R3947PCS01W/VjAw9Sx7X52oo1Ynv9dYBlePP8xAtIkYJie8MOKHAKgBAZg2N7qe1aYmfj9c5Carw4MPY8X1exmhT0lDk0+WLxzMjT5nj8OHVcy/+2nV+UfE27AVr2BnnNMcoux3znnn7pK9oLfd+njmsKLbVbqWEVCgdP/Vjd1vtBJApeiBEDrpT4cQVgRQp4b976SWl12x3GubG91uRsH1sWbqGWU9SOnPkJ4/eUm2PTR8Suxl3eG7f8qbOQGjPHZo5ak7OniFZMuZn8LAWAunltgZqWTh3X5qpKu5AoeLWXTv4I+z1lcm/b7ViVQs5ielJa3X4nMS0NScJfE/0yU/hfAqRIAd+d2z/vzC+N6kdOP+BmCvNST8stfEPlWsiyIqXEVbf1fsgcmzmiPX3wqxBCJHY07BTa66+zpmZPOYnkIPappXxtbLWb15LWePy4Npk4yTdUrZe6m28ECDF2fP4sZDGvXrP6Q3x12UokCV4AIZJXtd1unBl5Flyou3+zQVzisCIjU0JJaiJ/LrYytDna7FtZtSayZObtjG24RUqoizDEjMBInMSo6anCcH5ev2qi7P89UNcFjs5BIZpwxr6v0/yoDaxsGa5915w7+cASSexxqWtACM8AAACCmK1nuzb6cHhj2p3fmyfp0yziAn4c3RZEpTsYyPkAoESESg0ECIdx7CYRqrUOsDIClCrABYLHpPoshAiLUK724XAoiEoDLnCLCCAOAogkqNZpJDtoUmOeBZyfgawHXEbwcFCMytDTlHUXj3hQsIcBrAdCiH6VFMJfBxDHScS0NGpZGnVckyst7UACr0KeVwC6Oo9HyLEyVpQINa2CaVpa8fzQHoAQw8fKV7Cl0XZiGjnqvPZmAXVc28nmEsbo+AGIEIM9agkWeJXxeEqpZWmM11N+cXOAZQViWgXj/PAerjLWy3g8ZU4mM73s3/Laa1ZSNDJOJjtjJWZPW4nZfqm95UbECx5KiHOlcqZX+mfZRWIYWXlF1932/PwA4/PFsMcTJYaZw6pacvn3EcMKkGF4a25+gK+pWscGgzXG6NgBJIpeACF284V56rpXvK9Tl9jO0tIY4lhJP3vu57RoZOWV3W/ja6s3sIFgDfaoJQCAOPZ5KyDPKYjjZHMmfsIcnzzIBP1VWFVLAMPwxDBed7POLWhJc3LqkH7m7KNCbc0GUixmhcrKXiedmcYetfQSn09KKSDEcQtaUus7db+by80KdbWb9HjiFF9RvtLV9dQbfRZDjhWJZelOJjsjNtZfe0GJDRHPK4jnlAvruisCq2rEv/v6vxbqajenH3/yr+zk4pDc3XmX1nfyP+25+QH/Tbu/QC2ryIZD9VJ7603UdS1jePR54PdVYFUtgSwrOqn0FYk1yLACteyiMTzyPBuNtrKhQK2TTk9CCDF4nUlFTEtzllLjpFjMGKNj+8WW5usRy4qUUuosLY1eKeUKAACo4xikWMzIne23WrNzZxm/rxLJcpBo2hJW1ejlMdnUcQx7YWFQHzj3OFaUMGQY3s3l5i4v04EcJ9lz8+eMkdG9YnPTDlj8/9n77vi4jsPMaa9v38UCCyyw6B0kwCJWUZTY1Giq+CTLtuzETnIXJ4qSy8Xpl/jS7hKn3iVx7CSO7SSOu2RJliWrUWKvYAEBondgd7G9vDoz9wdAhQWkJMdFcfL9h99vF+/t7L73Zr75iqDIzU07nUx2Wqyp6YUQIO44JiREFmsia7GmhZxMZsbJZqe5aZUARgSrahBpWtCcmDy6CjHLmWUV9dHx1zkHXGlr2Y09nggrlzMkEIiBq6MjVuBks7N2InGZVFS0mJNTx+Smhh3cMovI66lBhpJbrRIcQIigKKhOOjOFRMklNzXeTgv5RaypISgKKvH7Vid4MBaI11ON5OXNSmNs4g3AOROqKjuEUKiF27bOTeum9nLOOaP5wkJ5YPA5O5kcFiNV3YBzJkSqumkuv0i8vujN3vu9wMp1lADXqwJ/SPhPgud7BGaZZcEX+OPS2NALZnJxwCnk5r7fHjtOqcMdW0ey4iduTzUzjJyne937/zNg+d8ICCHW1CAr5BetuflzYl10vVAV7qD5/II9t3Du+ofh8s4TAE6+sGCOjr1OQqEmsaZ67Yq9ZnliRJktVFV1WbNzZ5x0eoJbV4WdrjT8IEnUuG2XSWW4gwQDDcVjJz97tZSPc86JzzcMOGdiXXS9nUgOO6nMJGDUBvDdwebRkpFlulmwZxbO05KeVrqb90BJVAuvnviM1FK3GWJEoCS6oEhukI6uBgghoonMRPH10/9Agt5az93bfgEAwJ1Mfl6IhFqFqlBr6cTFrzjJ9IS2ec2jUlP0NrwS4oy9rkqptX47N61S5isv/Frp+IUvI0X2eHZv/hnXjvU/jjQlYC8kh8yhydedVHYaa2oQSqLGKbMhgEBsiK4XqsMd4CYED6kINEgNNRsAB0CMVffJ3S17sM9dbY7NHCMV/ga5s+kuQJljjs+coCU9LbfGtgnVoTakKD4c8NRAUVAB51yMVnYJVcEWppt5ZlhFYDumPR2/YMeXRmipfGPzFAQQYCwADpg+MPYKhBAKdVVrxKboptKJi1/Ffk+1EA40AvjO65vZCsEDOGOAMYcEvFF1Q9fD6vrOA2JtZQ/ggDup7BTN5OfsspEDozPHsFutkJprNyGXFoICllipnKaLpSW5u3m3E0+NOuncjGtr7wdI0FcHBaLInU13FV879XdglfaFmwHJoua55/af0DaveRQ4jik2RjdKGG3BHlcl4JwZozPHsN9bY03N99NMflbbvOZ9NFtYsOcSg+bk/GmaKyxKjbWb3Hes/4gQrewuvnri07nnD/8JM8w8YJwjSVCvEFVvBVosp1jZyFmT82cBB0zd0PUQK5SS+ReP/IX7rtv+K4AQIVX2AYTf1vMVYoQ9e7d+WNvY/bB+9vJzTDfy2OuqKp8Z/KYxNHkQyaKLVPjqvfff8XHAOc8+9cr/YmUjK8Wq17nv3PgTJOSvZ2Uja4xMHTYGxw8CCKFrx/oPS821m+3ZxCWoSB5eNrIAQZR//tCfmBNzpwIfvP/PXdv7PmzPLF6ABP/TO7HzQQiRPZu4VDp27l+ESKhV27L2/dxydJorxkk40CRUBltKx87/C80V4+4d639cbIxuxJriBwAApMl+uKb1blYqp9NfePZJvf/yt3DAE/Xs3fqEtmXtY0iW3FeCoWmuuEiCvhiURI071IYEC3J7/Q4S8tWB7xPBU0qZcT1rLskewe+t0RrNgp2r31p5NxaRKLkED7WY5VjM5IxTImG5lNQXxt5YeA4A8I3vx/n8ewIHnDJOdZtbGS8KbvCC4G0qcjdLUIvm2NIJyqkBwJuTYCBC2StCpdJgpSkRyhUYEtecM/ZZgxenBCgH3cjfa3Fj0YcqtopQrgzgql0K0mIWx7IXzwHCAAAgAElEQVQApdCV42JI5Epc955KXPcgAli1gZUyeHFKg94OAkVfis6/CAAAElSqOWA2vM5+hQAiHHAKAIQcAOoApyhCKQQBxOAWgbE/VHDOIcEiCQYamO0Y3HFMwDjDmhq41SJ7NUCMBYixqE9Pn+DmMtkLEcKspGcghBBrWnAlrHX1DRkIIc0XFrlh5Ei4oo34vDXI5aqwpmdOiTU1vcilha5+LRKIjDUt5N625aeRLHuc5NII9vlqaamcutUzi5lG3slkZ6Ta6DqlrWW3vZQagxAiJIoavUUrD3cck+lGvjw49DwEACKXK2ROTh6DkuhZIVyu/TjCctsiRAgTr7fGWowPCaFQixSr2wQxFpAkanBZnXnjPZMxaieX84/sxcUBobKykzvU1IeGX8Tr+x4jfn8MAHAaiaLmJJaG7aXUGKDUgQKRmGEWOKUWUhQvdmkV4Fb3OM6YHU9cJn5/HYAQyc1NO5xUaoLnnDmkqD54tbWbMcoZZwAirK3teUhdu+a9+sClZ83ZuTO0WEpebxO6FaAgqNjlqlC7Ou4zxiYOIU0NMsPImVMzJ9zbtvxXKAirKt8gxtizfcujrg3rPqgPDb9Is9kZtatzP4QQO5nsjNzSfJeTzc0V3jj8V+bs3Bn/fff8rtzUcDstlVLGyNhBtafrACRYosXiqgtnKBAZqYrPtfm2j2CXK2wvLFwkfn+MFUtJiNBNf1PctspOOj0h1ddvFaM1fbRQTHDDyCNF8dJSOXUz4otT6jBdz+rDo6+wUjlFAv6YNTd/DgqCij2eKnA9qbR8HYXcWzb/pDU/fw5gRJCqBVYhkKDc0rwTKbJXqKhogfLyWs61bu0jACHspDNTKzEHEoAQc9PM03xhUaypXsttW6f5QtzJZmediakj5tT0iZuUKkC5oX6r2tl2D9JcFdy2y046M0FCwSaI8A1jxW3H9N+zb0aojnTbqdQELRaXsNsdlmKxTbBYVFc2Ia+13EMIkSCoYrSmj5lmwZiYOEz8/lj5wsDTau+a92K/v27VLwRCBAVRtWbnztB8IQ44p5BgiZXLGcA5h5LkRoriAzezWS2r20u0UIgTnzcKRVEVKkIt9mL8EtKs4jX3ov8A+A9N8ECMCRIlN5YVH5IVL2CM2tn0JDW/O4+/nU1PAwCmv8eneVNwzhkURJUoWsicnzkNMBbsVHLY3bn2vWbyxrC664GIICFZ9iJJ8SJJcjPTLNi59NQPUkL2rgQEEECImG7klDVdB1ixlMSaFgScs9UehvZSaowWi0knmRwh4YpWuaF+K9LUIFJkL1jxnrNyOWPNzJ5a9nObxWvD1SCAEBE7kRwWqqq6sFsLY48nQrOZG6WICBEky14hFGwyRscPQowEJMveW0glf7BwqAUFImvb+h6Xu5ructL5OXN0+pjnnu3/XV3feQC51CBECMPlfKi3BeRSA8qa1rtpOjtdfP30Z4WacIfa23Yf4IDTkp6RGmo2qOs7DkBJdAHKbCeVm+G2YwCMBCSLGpRFl/e+O35ZboltwwFvVIxWdtNiOV06eu6LpVMD30CSqMqdTbsAhjj/rTc+6WQL857dmz8mNddukdvrb0eicGi1ljKazS8UXjnxqSuNSdjnjqgbuh4iQV+M+NzVzLTL1uziBW47htRQs1FqqdtizyYG0l98/n+o6zoOuHas+zFjaOJg8eDpv7dn4wPMNIuAcodzxgDjjDvUZKUbsw8ggBBiJEBxOchXqA53uLb1PV48fPYLrFBOXsntgaKggnco46PFcpqZdgn7PBHfQ7s+IUQq2qEoKE4yM579xiufMEemjzqZ/DxwHHNFIQQgwSL2e2q8927/RaWvY7+2ve9D2OOq4A61HZ+n2kllp8X66vXcdgwAARCjld1Sc+1mCOE33s7OIYQQKus6drt3bvxJADinueIiUmUP9rkjrFhOG5cn3ygdPfdFc3z2BAAAqOs7H8h+/eVP0GJ5CWtKQGpv2KH0tOzDfnc1JEQCjFGlt/0+oS6yhpWMLCuWlmi+lCRB3+qBgdeB246J3WrQs3frE9xxTGtq4Sy3bD3w/nv/WO5p2QtFQYYYEfg2SFcIIZRa6ja5tq/7kH5p7JXs11/+bYAhgQKRSYW/3nv/jl8WKoPNTio7XTp+4SvL96SWuz17tvwscqkhbjsGlEW34NHCpDLQrK7vfBAwRpEkauX+y8+Vjp37IneYLbfX78h/+8ifO4n0mFBb2QMJFpFLDbj3bnnCHJs5Dq5ransrYJ+rSlnbdo+zlJkqvHryM2JDzTqlu3kvYIwy3czJbfW344A3CkVBBQ41naXs1DJJgwQgcYpUxe97aPcnlK7mPUK0sksIB5poOj9X6B96Tu+//Cx2qyG5q2k3N+1S9qlXf4fpRs6zb+uTYl1krdRavx0i1H9T6+S/AUbeSicuZ/v7Hmn6WHIkdx5CAI2CnTHyVjpQ52rlHLBiQp9nlDsQAcQodxB5d+e1/KDAlwXFrMzzwxxwriJPowo9LRYvL1Du3LDriiCWbG6mU2z+hQCu2qVCd7MPV2xLU2aKUAwavDxDgOAXoFTBALMWncl/4YDbAABkcX25xQliqRLH3ltNmj5cZNkLECLRgwLrCRd8lNu5hDP9NQwFdwWq2AQA5xTQMgPsmns5BBATQFw2t7IQQmJzIylDrQ4BLILVFvHvAjDDyENBUPTBy98GECIxUtVlLS5eJBWhJrRs137b4I5jMMsqqh3td+vDIy/bC4sXuW2z5eyYzKQQrlg9OHYFkGCRFYsJms8vKu2te6VY3WZ7KTVqp9KTJBhoROJVjaEAAICxAAUiGyOjryBVDYpVlR2sUIgjSXSBWyzGV5QolOlGLn/k2GeEYKBB6ey4l1Nq8Rvrtv/1bZRazDSLrt61/8UpFOL24uKAWFe3SaysbDfdk9fYaSBCSFvf57EzmWlzZva0OTt3VozW9CFZchtjE2+IkUgP8XqjkAgyWM1izjlzstlZuaXpTqGyspPmcrMk4I9J0Zp1UBCUK/NHWi6ntZrIWlouZ6zZ2dNOLj8vqGqAZrIz2O0Ki1VVXeAm92QIIfTuuUuwFhYuiJGqLrm5aSeEAJmF4jFmGHmpNlp5tQqVc86r/ttPMrGmei3EkCBZ9oi1NeuseGKQU2rdTKWy+rER4qZZ1AeHXrhCONBCIS431G9FkujCbncYrNLAhRTF79q44XFuOwanjuW//97fp9ncnDk7d1br6ToAEMLpp5/5JZrNzXDGuP/efRknnZlylpbGpFhskzk1fVzt7tp/s982xFiEhMjm5NQxSIgkVkfWsEIxDmXJDW/VWrxcU0C5beuFo8f/FmtqUOnsuBdQ6vBVsnveBGM2M8y82tV5Py0U49b8/HmxOrJWrKnudVKp8SsK6zfPjxAZuVxhWCjGAYSIlcppblklSPA1zw5uWkUkSx7i98eYYeSBbZfLFwa+qfX2vNecmj6uD4+9wg09x3Qjxwwjzym1AKU2p9TiDrW445jcccybigsgREIo1MTKegZAhM3JyaPY7Q6L1ZE1EEJ4s0wdO5G4LDc17rCmZ0+SUKBJCAUbrPn5C1AQ5JV55nUED4AAIewkl0bNiamjJOCvM6emjgFCJOxyhbntGEiW3Ve3va2MK2W6npWbm+7gDrWsubmzzDDz2OOpdtKZCez1VK8EO69K8ECIMGfUthOJIaEq3KG0NN1Ji8Wkk83OYsYoEt8dTocfFP7dETxEc1eIoXAHcXurkSR7VtqisJ3LTJmLc2etVHLkVosGCCEkXn+dGmu6I7Tz7jbBG2iAhIhOPjsrVUX7rKX4kP+22y/QUjHhlItLTi4zaeeyM5ze2CCwGrCi+uSqmj4pHOlBysrNiDFaGLrwdSu5eOl73HTEuWMbViY5YqWTw0hWfFpz+93E648hUXJDeKPVACKMparqXiVavzm0+75mweOv446tM8cxpFC4vTw1/oZv/ZZxWi4tOcXCop1NTdBSMfH9mEy/WwEJkQBn1JyZPQ0FQUGK4mclPYPd7ghc9lBfA5rPL9B8YZFmsjPY76+zE4nLUmPDthWmOQnAsvRSbmvdY46PvwExFq9R3HDOWbmcFmtr1tnJpRGAMIEYCXyVBiQkiRqURI2ZVgFiLImxuj6kKn6m31rS+4MCJFiEhIhyW/12O5Eet+fPDpGQPyZGK7tI0FsLAIDcoRZnb0/dxizb0AdGXyq8fPxTJOSr8+zZ8oTUUrfVSWYniof7/5GVjZza134/kZZD5fTzw9/Of/vwn7KynoWCoGCfOyLUVnYra1rv0bb1fgBAiMrHL34l99zB/4ODvph754aPyl3Nu82RqcPFg6f+HsqyW2qu2yJUV3RcsZbkXzr2V2CVydxKKPOfXPkbiYKC/Z4apbt5T/nkwFeLh858HgAA1A1dD4mxSC/EWICyqEGRKHr/0HNKT/Oe4sFTf1c83P/P72yQIYQIESgQGXvcVdrWte93lrJTyprWu6VYdZ9YE+4EAAAkieo7VXZxh9pVv/LRIqnwb4aESHr/0HOl05e+YQ5PHnqLCvEFsa7q96XW+m1itLJbPz/y7dKJC1+xZxMDTiY3Z45OH2UlI6v0te93bV37frmt4Xb9wugL4KrGhpsBB7xRz76tT2Kvq8ocnz1hDI6/ij1amJl2We8fetYcmT7CTEuHEELsdYWdRHpcaq7bLLfGtguRijZ7LnFJPz/8bSeVm2G6kVvZ/RYgIRJyqUGhMtCsbep5RIxWdl8hrW4FKBAJCoKi9Lbda03OnzHHZo6TCl9MrKtai11qEAAAueUYb8fegTTF575r038DBAn5F4/8hZPJzWOXGvDs2/bz7js2/Lg1s3Ah8+UXf9Ucnz0pNdVu8j1w12/KnU27zNHpo/kXjvyFE0+NiI3Rja7tfR+GgiADzhgO+Gq5bev6heEXrIm5M6Qy1Fz4ztG/5A61xFh1rz2bGHASqVESDjSKtVU92va+xwEAv/ZW53oFzLRK5bNDz5YOn/2CUB3u8Ozb+qRYX7POnosPFM8NP88Zo2pfx/5lRaJjlo5f+ErhtZOf4YZZgKKoYb+nWqyrWqv0tt3runPjTwCHWsU3zny+8PLxvyZVwRbP3i1Pyu0Nt5f7h54rn7j4VeRSA1Jb/Q4hHGiCECK1t+2+4qsnPgOun1R+D8AZ5813VPNCQp8rLhmL/lqtyVut1rvDSo2gEheEAFGLmoW4PoswJJImeEWNuN76P/+HAF/Ju5kpsfwgA9TI86WTXhy6jQO2mkoAKlCrk7FW50LeDg449aDAWj+qvL3E85c5ZzaGWM2z9GkIAAIAIg6YbfDybJ6lT0EIYRBV31kvdH98zhn5WwA4d0Ff94R98fd9qGJbmRfHAih8BwGir8Az53yoYjPluk65c82uNl8OIOEmL886wM47wMq6kL9nRenzjtvmfhBYzthwV5JgoHE50B0Sms3NGcMjr0jRmnUQocNvNwqAFotJa26+X6qPbUGy7JVidZuM8YnDTjo1gbo67iMBf50Uq9sEIZxebf66HLpKZHVNz4NibXSDfnn4RXN69pQQDDSIVVWdxsjYq9cekDl2Mjks1ce2SHW1G83JqWNIUXwrSqKbLsYhEWSkqn5Oqa12dtwHCRG5ZZWXs/5uoUCk1OamVTDjidnyhYGnpVjtRgABZ5ZZhLLsufYgECNF8UGEkGvTxh9DhMjWwsIFKIqqWF21hpXL6RXCxwMAWC2XCEKCRW6YecCZI9XVbhSCwQZu2WXAAbgSVm1OTh3lt238MQAAEGtqegFE2E4khqRozTrs9kTUnq4DWFVeouUbs4+QSwtBhLBcX79Fbm/dQ4vFRPnCxachRFhd0/0AN83iaqQNFJfzX8yZudP65eGXkCDIK9k7b3tNwkyzCDAW1DU9D+qXR76DFCJpPV3v4batA8qcFYXSoevfJwQDDdjlCpuTk0fF6uo1Tio1rg9dfhEghISO9rtTT33zvzvpzDWb48Tvq1O6Ou+DhMhCuKIViqJLqo1uWO3/A0ptJ52eFCvDnXJz0w5zavo4UmQflCQ3xLeo5MZYxJoa4o5jys2Nd2BF8XHbKjPLKt5qo5tT5jDDyDPdyBfP9H9RjFR2I00LMkPPruQsXUvwCIIMMRacXG7OGBl7jfi8NUpXx33wuhBka2Hh4rJlzMg6qdQELZWWkCJ7oSDI3HYMfeDSs9c34L0DcOA4llQb3eBkszN2PD6IPZ4Ip9Qyp6ZPCJXhjuvP5wpovrDIGXOwx1WltLbuUnu6DgihYJM5M3tmpRb+WvUz44wZZh57vdVqd9f+8sDAs2pnx71IWibckCx78LKa5hqCh9l22ZyaPi411G8DBItSfWyLMTl51I4nLsnNTXeQULBZaW/bhwThHLNv3HTFXk8EQIiVjo57lbbW3ebM7Gl9ZOw1rCp+uaF+qzExeeS7HLt/l/h3QfAgUVSliki3q737gar9j3YRlzvCbKvklIoJwReoFzy+WiM+1w/WbHjczmWmlZrYP5iJ+fOr/QDkmrrbQnfe8zsrzK0DGHOsVHxIDIbbnHx2FiuqX6lr3E483hpu2waAEEIIUHjvgTPpo69+0inkb5rADSGEWlP75sC2u37FWopfgkSQpcrIGjFY2c6pY2TSyVHwFpkMEEKIJNkjeP0xKVK7TvD565Gs+LAkewBChOnltD43dbw8PvwdiAkEAHAzvnCB6uUUgAjn+k/8g7t7/WNYVnwrIZ//Oo6EiN7ejR/y9Kz/ALOtMkSY0FIh4RTz81K4eo0Znz8vV9euF3z+OsHrr2e2XYYIEWbbZd+Gbc/kz5/6PLPM1SR/P1JAsuyFgqiK1ZE1zDQLWFUDzDKLUCCSEA61rLRwvPlQhIKgQFFUoSS5kKaGsG/Z58mMf822QIriY+VyimZyM0hVA/AqJpkzxuSWpoXl8LTyEpNkD9P1rBCuaAUAXBPGjFxahZPJzuhDwy+RULBRaW/dY4xNvPFWnu0fFKAieSBBoj2fHMp+4+VPWHOJAaEm3GUMjr9mjkwddu/Z8gS3bZ3bq3vYrwe37LI9lxjUNq15VN3Y9RA3zGLumYN/YM3EL0jNtZtdW3s/QCr8DRAA6KTzc9mnX/1dc2zmmhA1SPAz5WMXvuy9f8cva1vWvk9qit7mf989fyRUV7S/2RBVMjJirKYPBzy1Yn11H7cdk1NqkZC/XqjwNwIA3rJxiFm2Hnjs3gGpsfa20omLXxMqQy1KX/t+Viyncs+89vtirHqd1Fi7kZX0NCuUlmixnBYqgy3fzTADCAEUiCx3N+9W1rTezYrltNgY3WjPJwfN0ZljJOSPQUn4rnYrjEtjr5oTc6f1M4NPW3PxS283o4VmCwvWxNxpZW3bvU4mP2+Oz550bet7nJWNrDW10O+kc7OcMaqu7zwgNkY3IlX2grexgJJa6raIsepegCAiAU+NUB3uKL528u+M4alDVzcqadt6P+DZs+WJFeWIYg5NvJ767FM/bU0v9NNCKcmd1UlFJEsuEg40eu+9/X8oa1vvuVXeBAAAIEX2AQihOTx1OPf0q7/nZPJzUmtsW/Fw/z8KlcFm7fZ1H2KmVbxZQOMVQAiha3vffnVdx3tKJy9+jduOITVGN7h2brxL7Wu/38nkF4oHT/+9OTZzQulp3ed/ZO/vk6Cvrnjw5N/mnz/8p/bi0jBnjEFReL184uLXAIYYQIQ8e7c+qW1d+37Pnq1P2HOJQWNw/DUAACBBby1SJA8rG9nMl1/8NWVk5phn75afVfs69ot1VV+0phcvvNV3AQAATDcLTiI95tq58SfU3vb7aL6YzH71xV93kplJqb1+h7qm7R4S9NUBAIC9uDScfeqV/2UvLo1e89kF8nT55MWv+h7c9dvKmtZ9cnv97UIk1EqqQq0QIexkcnPccgyxoWY9CfnrxVikj5t2mYuCQsKBJhz01YJVdor/rZA0wd33WFOPWbCzRECiv87dwjkH8+dTx5ZG8xepTU3JLfrtslMAEEBBxuriYPaGeub/mOCcA2a7oK+nQqjdzzm1FunUlymn5rIF6lowTk0AICYQyyWWv1ziuUtu5O9dpJNfzLGlU5wzkwFmMUBNBqhJOS1T4JQYX74+RSgHa0jTjwHAmQ9VbDW5vpCgs98UgVyx4Ix/ochzlyAG2ItCG21uZcqsOCEhufL6hiwOuMOAozvAzhu8PKdCd5MABB8GWAEA3LQ96ocJa3HxkmfH9p9zsrlZwBh1crl5Tqmlj4y+6urrfZT4fbUQoenVNuawqvoBQpiVSynOOGeGWVR7ur6ldrbfCwVB1geHvk2CgUYhGGwoXxp8Tmlr3ePZefuTdjo9ATE+e0UdABFCyKVVeLZv28csqwgFQc699Or/dtLpSSkW20x1PUuLxSQtXNXWxzlntq0Dxqg+PPKSOT1zUlhuqxqU6us238peBkVBQS41xHUzX7548ZtIkt3aut73vRU7wSm1mGWWaKEQV3u6DmCXFkKiqGGPt/p6QgkihLGi+Diltp1IDi/XQmtha3rmlD4w+JxUH9vsveuOXxQikR6wilofKYpPbm6+E/u8tUpb2z47mRx2MplpMVrTBwUiX5kTWnPz5+xkclisqV6bf/3Q/wUAQKW9bZ+dSo3zwaHnlfa2va6NGx5HivJ5putvzu2QJGlqd+cupGpBzhnTLw48Y0xNHSduTyUJh9vteGIIYCQAyq591jHqKC3NdyGMJXN29rR3x/YnnFx+HiJEwCobwTcDzRcWueMY1sLCBaTIPiiKqjkze4r4fHWcM7pqwDBY/to5Yw6UJDdEEGNNqxAqw+1yc9MOc3rm5JWYg6vewCAhEpJlL/F6qpebsDiXGmKbsar6abl8zXXJbEfnjFNjYvKQtbB4gQQCDdZi/JLa03XgVvmUkBARLWfiyObExGHAAdP61j76lpQXYw4zzQI3zILS1rKb+Ly1kBBJCATqrbmF8wBe59CSJQ92aSGIsSBUhttd6/sewy5XGF4XamwnkpeNicnD3DSLxvjkYbm5cYcdjw/ml1JjrvXrPqCt630fdrufY6VSajUCFxIiYlUNAIJFmsvPcUrffA1njAXuvzdrzs2dLRw78Vmtp/vAlc1Csa5243Jw+40ZPFfejgSiiDU1a5Gq+IunzvyT2t25HxIiIUm6YXw5YzbN5xc4pZa1sHBRqq3dQPOFuMNz81I0qiFJ1NAqm+XccWypNnrIvXXzT5FAoL5w9NhniNtdJdbHtpgTk0e4bRuuTRs+bC0sXoCEPHc1CYdV1e+6bf19EEIIIECFw8c+bc3PnxcikW6IiehkMlM0X/i+NGi9W/GuJ3iIqgX9G7d/RG1s3WMszJ4pDg88ozW17SuNDH6LQwBcLZ33Fy6e+ZfC0IWve3rWf8C/eccvKLUNW3P9x/8eq9o/0nLpGm+uHKldzy2rVLh88Zvuzt7/IvgDjZw6FvH666ylxGXBF2gAEGLm2GUzPtevT08ccnf1Puru6n2UGXoWEfKH7CbMLuecq3WNRQAALwxd+Lrg9cfsXGZarTPyxOOrXclkuOnCFomSpjW373C1dR/AqqtCn5k4XLx88WkAIQrevuc3XC0d9zLTyAu+QL1cFV1XGDz3VSSKbogQhnhZdaI1d9wjBkItpfHUi4BdO6mCgqipseY79NnJI1QvZzzd6x6DoqhBQdKwogaoXloibk81EkU3p9QqXr7wFDPNvLdv00eD2+76uJNNT0CEvvOjruaBiuKFGAnLfl8IOWWOOTbxBivrGaWz8z59cPhFsBKihRTF671zxwdIwF8vxWpvo8VSEi6zguiKxBNiLAQffdjLTbMEAAdyY8M257qWBG5aRZovLGKXFgaMOjSXn1c62+/BqvrylYcZ8Xgqvft2vZeEgo3q2p4HAVgml4zLw++a7wSpshdgTOylzCTSFL/UFN1kTS3066cvPaVtWfsYJFjglqO/XRsgkkTNtX3dh5xEaqz42sm/NcdnT4q1VT2+A3f+Bva7q2mhvMQptQBGxJycO+0sLvvfr8ZKvsiQUBX6PRIONEpt9duRWw2Vzw49Uz516Rv24tKo0tm4U9205hEIAaLZwoKZyk3LHY13QoHIQiTcBgA4+nbOlxWKSSgSBSCIjdHpo+X+oeeYYRbUdR3vYaZVTH3+mz9rTc6flVpj25EsuYS6yNp3NsIArMh/IRSISDO5ueLBU3+HA94o9rkj+ecP/QkkWNQ29Tyy3KYF33E2U+65N/4IgGWf+Tt5H7ccw0llZwBGgrqu4z1SU+0mJIsuY3D8NaW7eW/xcP8XzNGpo9wwC0J1RQf2uCrBW+TwQEGQfAd2diNV9tFUbjr3/KE/KR2/8GWWLyY4WyZZIYKQhPz1vod27xFjkbWcA1546dhf5Z59/Q9Zvph4K9UkM8wiAOA8Cfl/wxiePGRPL56/1euRS/EDwIG9uDRMwoEm7PdUG5fGX3WS6XH/I/v+N4QQc8MqcspvOX4kHGhw797yM1CRPNjrqnRt63sce12VUBQUc2zmGC2Ulpx0blaIVnb5Ht79CSESai28evIz2a+99Fu0+K+ZE3zZPvjm/YQEvL+FPWqFsqbtbs/erT+b+cqLi1JLbKvc0bjTGBo/CCVBVbqbdkstsW3ctEokHGhS13c9CAVymdtvfV0iVfa67lj/ESeRHsu/eOT/WtML/VJz7WbvQ7t+G2uKn5WNHKDUBhgRc2zmuLN0YzDmynH6xVjkt0jIFxPqImuQW6son770dPnM4NNOOjerrm27R13XeYBTajup7JSTzk0rnY13IVlyC1XBFvB9IHgEjbgkl+C1dKfor3e3GXkrc/Lzw5+MD2X7OeMUcAAgBJCDlS1aCACj784g3h80OOe8VmizRShX5FnqtM4K4w638wAAtlqttA2sdJ6lTirI1ZhnqZMy1GIWN+IilKsMXpoymX4DqQ4hRAhikXFqYUhcKvK0ONzKKdDdlGaLr7qgr8vgpZkizw1yzhEckx8AACAASURBVHktaQMqcjcLXApqyNvOAacClALgKsKeA04FIIcU6Gpwo0Cvzc00gkSVkBIB7yAn7AcJJ5WeYKXSktLeurdw5NinjZHRVwAhMiuWltD2rR8LPPCeT5bO9H+Z+HyHaam0BBijUCCyWFXVFXhg/08BznnqqWd+EayETRsjY69Z8wvn5YbYVuL11JQvXnqmfGnwW0pz007scVdht6sq9MhDf50/fOxTUn3sAgSAa31rG7Xete8VozXrnKXUWPnCxaedbHaW+H21+tDlF6AgKEpb625r8Zq4AM5tWxcqKzvUbs6wx11pDA1/BxAsIkXxrqieVweECCIsFM72fwlACLHPG7UTycuyxxO5FUnBKXO4besQY2Fl3FJQEGTkdldCjK5VDCGErlSbwytZjKZVIMFgg9zctMMYmzhkTs2cdG+57aPE4z7l5JfJK7h8PjXeXXc+obQ07bQWFi86udwsFEWVlfWsk8lOk2Cg4U2LVqGYKPWf/6r/nr2fcG++7SPm1PQJY3TsIJIkt9rZcS/gnHn33PWr2OetVVpbvs10PYs1Lejbu/tObW3Pw8yySsbo2EFjbOINpCkBZprF/JFjnw7cf8/vmVPTJ65vUuOOY5pT0yfyh478lRip6maGkbcTyWGAsfBOCB4nnZrgllWCEOHcoSN/DUVRkWqjGyDBEjPNAvZ6IgAAgARB5suRBhYAADjJpVFaKCSQovisxcSgHY8PkWCgXqgMdxoTk0evbvHCiuINPPxAE8CY6MMjL7NCIS7V1W1k+UJcrI70rAT0XkPwcMfWhWCgQe3q3E/8vjp9aPgFiBFBkuRCqnJzyyIECGIsls5f+Dot6xmprnaDlUgOCdWRNbccF84ot2wdYiw6udwcN8wCFIiM3e7wKqQh0vp6g3ZyaaR8ceAZEgw2GuOTh7XenvdC8VrFDKfUUTvan1d7uh+AoqiZM7NnAGW2WFO9lnNGXevXfUCsquw05+b71fa2BA74Y2/mLUGIvLt2+qVodD1SVf/Sl77yUwCAa+bDUBRUJIourXfNw0Iw2ETL5RQiRKbFYpI7jgExuandGGlaUG5puotmc7NiZbid+LxRblmlGyyYAADgOJYdTwwhRfZZC4sXjNGxg0Kkqluqqe51PPmIEAw2IlXxQ4QQFASF27Z+ZQ1jL8YH9aHLL2rr+97v3bHtifLg8AvlS0PfEivD7UJFRTPESAgcuO+PSCjQJDc1HOO2oxOvt8b/nvvuVdpa99J8fkEfHHreml84j73eantxccAoFONSQ2yrNT9/7qbf6Y8g3tUEj+D2Vgd37P0l7PbUZE8f+zR3bEOpa9hmJhcHlPqmnVJl9drS6NDzzDLzwdt3/7oaa94JliX2MLh9z687uewMROjpqxe/tFxcwpo7jBXVXxodfJ5TxxQDFc1iRVUnRBBjVQsx08hjWfUbs9PHqaFnrNTSCIQIu9q7HygMXXgKAHDxZufMHFvHmivsv23Hk+XJkVedUiGOZMWLBFFbzTIFwPLDQfAHGyt23fekVFm9tjQy+K3s6aN/Axijrrau/UqseScSJVfm+Bt/bqUSw1jRgt6+TR+VIjV9WFZ9xOOrU2obtkNRclnJxQFmlNPctsocXLuw4ZRaVC+lBV+gwSkWFnNnj/8dZ4xqLR33MNsqY0WrgJhIWFGJnc1MmYvz57CqBY35mdMAQuzu7ntMn508Bn7IddzfbyBR1DhYVo8sp8GLGi8Wk+bE5FHf/ff8rveuO35RrKn+R6ypwcDDBz4sNzfdYYyOHbQTyWFzevaUHUgOq92d+/kKwQZFUYGCqNJiIQEIka25+fNQuvamyB3H5Iw5V2oOSTY3I9XHNnv23PnLYnXkCxAh4t2766OkoqLFXkwMIlHQOOPUmp8/ZyeSN5AaPyxASXRBQiSpoWa9Pb1wzhiaOChEKtrkrubdSnfzbiiJLm7ZOnDenoIHCkQyJ+dO555+9ffEWHWfZ9/WnxMiFW32QvKyMTJ1WGqu23LlunIS6fFbqS+cRHq8+MaZfxCild1OMjOefeqV3+GGVfQ9tOu31XUd72FFPU2z+XlAsCg11W5CbjUEHGoKkVD72/38TrawADEm2OMKl09f+gZ2qSHXjvU/DhFC9vTieWVN692ePVuewF53Ffa6IzhfTECBSNx++0GHACEC4HINpTk2ewJACNWNXQ8VXjv5Gb1/6DmxLrKGmVYRu7UK+BaNUKvhuw6H58u5QYBxyspG1rg09rI1s3gBe1xhY2jyoH5h+AUAIHRS2RmpIbpBjEV6wVvUpSNJ0EhlsJk7jlk8dv5LhZdPfIo7jg0RhEiVPSToi7l33rYVB721QiTUBjgA5WPnvpR79vU/pLnCW6quroazlJkGAHz6rV6HFNkLCRaVzqZd9nxi0E6kx+S22Ha8uedRpadlLyBYYIZ5SwUPkkTVe+DOnxCild32zOJ5mi8lxGhlF1JlHw56a7Fbq2AlI2tNL56X2upvF6pCrfq54edz33rjj68md1YDzebnC6+c+JQYq+lT1rTejUO+euJzR6zZxIC2qecREvTVccvWy6cHny6dHPi6/+Hdn1D72u8vHen/JwDATdto3jx3UVCMgbGXC6+c+JTUUrfVe9+Oj5Owv8GaWjxnFkpLUmts25XJsR1Pjd4q48GejV8sHj33z77KYLM1vdCf/cYrn4AYEd8j+/5A6W7eTbP5BZYz4kgUVbGhZgNUZC/AdlmoCn03yre3BMKQZGdL47Jb8HHKnIN/eunj+Xh55gqZuILvS0X7jwI4Z7YGPa0ZljwEAIQa8rRBCMmyxeqG11IfqnglAKoAAYLP4kYcAohCqHqfIrgaaoXWNzI0/roD7BznnAIAUAQ37hGhXAkA+CTj1DR5eYEA0Vvm+REBSP4Arto9Yp/5ZQAgwJCo9aQrzAGnWZY8qvPCmB9V7lSRuwVCOHSF+KXcKZZ49lKRZS8qyNXIOWAAcCYCZVU1wrsBtFBcLJw49TlXX++j3LJK7u1bP0ZzuTlzcvqEMTz6Mgn4Y767d/+mk83NLs+JOeC2YzBruXlLjNb0CpXhdgDAcQAAYIZRULs7PxV65OFPmVPTx5llleTmpjuEysoOO7k0hjU1QAKBev/de3+bFgqLgDHGbEeHCGJrdu5seeDSM4AxRkKhJie5NIIUxefZueMXaKEQtxPXVX47jiFGIj3G+MTh8sWBp4nfV2dNz54SgsFG4vNGAQCrKuK441jMMLLccUwhGGy0l5ZGsccTARiR6zNPrgFjlDvUXK7j5tyOJy9zxzYApdYqjWPLAbacc2N84ggAAEi10XXE76szxiZeN2fnzirtrXu1vrWPBB488GdKe9vf02x2Vlvf1+fauOFDcmPDNprLzRtj46+zYmnJmJg84qQzk3Jz006xpqbvSgMrp9QhXu/Tamf7PUhWfOb0zEmhoqJFrI6sZYaRZ6ZZxF5PxL35to+onR33cMsqc84ZN60SLZWW9KHLL1gL8UtCuKLVKRTiNJuddd+24cNCVbgzd/D1P7t+A40zTqXa6g2eHdufABAi7jgmM8w8FAXlZrkrqw6lZZeNyaljxOOOqJ3t94iRSLcVj19ycvl5GQCodne9J/zhD1aHf/xDbmth4SJ2aX9Mi6UUs23dmp0/KzXWb6XFYoIEAjFzYuooEkVVbmq8Xe3p2q+2ty2RYKDBv//eXuLzRp10egq7XBXujesfh6Ko5Q8d+StAsKC0te4hHk+cO47JbFvntm1y2zZIRajFnJk9XTh6/DPY7QpbC/EBsTo+SHy+6KpNT2C59YzpeobbVpl4vTV2MjkiRaPrIEL4VnlQnHHGHcdQujr3A86ZnUyOcMsucccxrzSLXfVyiDU1iFQloK5d87BxefglwKgDCZHQsr3pGphzc/1qT9cD3LbK3LJKJBRqhqKgIlnyGGOTh6AkuX17dv2aNTN7htl2WagItVhzC+doPr9A05lJw7LLalfn/SsNcSP/ehIYhx552M0sq1g8cepzclPjDrWr837scUeukHa32gxjpdJS8ejxzwjVkTXY662xZmZPC1WVnVC68TNwzrlYHRlzllJjWFNDnjtufxJiLNjx+CA3jBzS1KBv7+5fZ9v1j0FR1ApHjn4aIvRNzhhjtm2I1ZHPys1Nd9hLqTGayUxLdbUbxUhVF83nFqAgKNjlDvt23flLTi4/DxzH4ss5RLaTSo2XL156lubyc0K4os1Opye47ZieHdufgIIgmzOzZ27x8/6Rw7uW4EGiqIbu2Pek2tCyS5+fOeVq6bgXiaJmJuODxO2pFgMVzeXJ0Vc4ozbx+mOC119XHLn0bGl44BlOqRV5+PF/QbLiB9d5IZ1Cfh4Kgsossyh4/XVKXePtAEJkZ1MTnHNmLM71C15/HaDUEvzBRq21835mmgUhGGqRQlWdSjS2GWI8dLNFEDONPC2Xlpx8dsZYmD0t+IONzDILUBCUmzHCSNGCga13fVwIhJozJw/9P1oqJpVo/Va1vnmnHImuL02MvGSnk6NYdVWoDa27sKoGAUIYibLHWooPqbGmHbRcSlnp5LBTyM1rTe37zPj8+esJJU4d0ykV44I/0MAMPafUNd4uhau6rhA/gHFqLcUHxYqqTmYZBbWxdZfgCzQCDpjgDzYIXn+dEAg1AQB+pC8Sbts6t+wS0/UsUtWAPnDpWezzReXmxh3W5NQxsS66IdzdtZ9zRmkuP18+f/Epa2b2NDOtolhd1S23tux2UqmxKws8JAgqUmQvdrvCECKM3a4wzRcWrjnmSlAgzRcWICESJERCmhqEGAlyc9NOubF+GzOWvdXY46oiXm8NLZaS6a8f/su367X/QQCJggIxEmjOWMRBX522pfcDNJOf47atY7+7GkCImGXrb2WDuRo0V4xzyy6LdVVrrJnF88al8deEmspOpbtlLzPMImecIgghdmsV2KOFAQCTq/0fzhjDbvWb2pY1j4l11b3YrVU4JSNLM/m50rHzX6KF8hLWFL8Qi6y1F5JDNJOfF2PVvaQy2AQJFt5O05CzlJ3kjDGpMbrRmpo/6969+aeVzsa7uOUYUJHcNJOf089dfl4fGHvJs3fLz0FCRCSJKnibddoAAAAxEpbDxLAotdVv9+ze9LHy2aFnyycHvkZCvjpAsMR0M49dy61gYLUwyO8CkBABe7Qw9roqkSr7ICESwFgAjDncdkypKUqxSw0x3cgXXz/9D9x2dBLwRo3hyUP2bGKA27YBMRacpeyk1FS3Sait6nnLYwpEJn5PNTftsjk6dZQ7y1loQk1ll2f35p/BAW+0fGbw6fKpga9LjdGNdjw1mn/hyJ+/U3LnHY2DJKgAIkSL5SUxVr1OrI2sdZYyk1AgEnKvZPC8hUVLiFZ2aVvWvA8iiDhlDlZlH7dtg+kwD/KlpD2bGCj3Dz3nxNOjnr1bn6D5YiL/4pG/oKnsqjWxV4MzzpEiHzLHZ0+q6zsOSE21mwDnXPa4Kuz55FDpSP8/mRNzpwCEiAS9tYBzLsYivVJjdCNEcPw6MmNVOJn8POCcCdGqHnNs5nj5/PC3pYboBrm7eTc3rDczIIjXXYWWc4lWbT/hlFFSEfiKtrH7vSQcaEKa4mfFcoouZaeKh85+gZX1DHZrFWJtVY81vXAOe1xhoSbcScKBZogx+V43VVKLmQAATmSi5Bf1GbNk59/OePwnlsEBp2VeGOWAWi7k67a4kUQASxDAVeeaeZ4+G4TVe7M0eQQCSAQk+h1g5RBAYg1p+kgFju7nAPASyw6kafygw62cH4VvBwAAB9i5PEuf9qLgbSWWu2QCPUGg6K3CDe93QX+3BJUaN/L1mFyPS1CJKNDVkGaLr/hQeJvJy7My0uIm1xcFICYZp3qJ5S4TIHhEqFQLQAqEce2DPlyRyrN0/7Kd7N0D7jg2VpSvipWVHb59e/4nLRbj9oKg6CNjr+kjo6+6btvwIVbS0/ZCfEBpb9njpDNTpYsXn0aipDm53Bxyu8JyrG4TWCF4AADAGBt/o3jqzD9q6/oec1KpMX3o8otOOjMlxeo2Ac6pNb94HgqCas3N9dNiKWlOT5+0k0sjYlVlp7am50Hs8USYYeTF6sgaO5G8zE2zUDxx6vPX1BovW7QMTqnlZLJTUjS6DhIsYb+/Frm0CuxbvT4ZgOWAXwAApNncLDfMvNLRdjcUiAw4ZxDjWwSdcwYYo7RUXLIW4gPYpYXMmdnTSFX9N2T+cM6YaRaXizVcIexxV3FK7cKJU5/Dmhby7b7zV7DbVVkeGHxOrI70hB59799AgSgQYcJ0PWuMjr5mjE0c0kdGX+W2XUaK4lO7Ou5T13Q/aC8sXLzaSu/kcgtqR9tfBg7s/yPvrjs/rg8OPa8PD79EQqFmubF+qzE28QZ2u6vsxcWLTjY35ySXRo3JqaNIljxKS/Od7o3rH6fFYkKsqe6zU+lxSLCoXxr6ljUzd2a1hTrN5Wat2dnTpKKiFRIiIUX2YlUNoOtziG4FSu3y+YtPVXzwsc8hRfEWTpz6HFYUn9zctNOcnTsjhELNckvTnbRQTKjBQGPp7LkvAQBSgDHHGB19TWlv2SNFa9bZ8cSgMTF52Mlmp4XKyk6sqkHXhnUfxB5PxJyaPl44cuzT3LZ1taf7geUcHUyQLHtoJjujrul+EC+reKA1P38OQvhZuaXZWC7YSE8IleEOJEku5HZXYre7Evt8tTfNIoQQAQgRzRcWbXNpRO3ueg+SJTenzL4+APm63xQHjDnM0HPW3Hw/0rSQNT9/HmIsgutVYRBCpKlBKAgKVtWAtq73UW4uPyPhKvYmphtZa27+bODA/k+WzvZ/qXjqzBeEcEXrMoFkG8wwcvrA4LdouZwSI5EeY2ziDXtx8ZKTyU4LwUCDPb9w3g4Fm25oD0OIAIwF7jgW8XqjUrRmnZ1IXLbm588jWfaQiopWQG9xn4MQIZcrDAEA1szsaez1VAtVVV0rIcs3wEkujRjjE2+4N2/6aOnCxaeNy8PfuWIFMycmD4u1tRtYuZxGkuhSOtrvLg8MPgdWWgvteGIof+jIp/x37/lNIRRqLg9cerY8dPlFMVLVLUYiPfrI6KvY64lY0zOnaKEQt+YXzltz8+ew11ujdnbco7S2PE4LhbgYrem14/EhwBgtnT7zzzST/YGVIL0b8K4keCDC2N3d+6CnZ/0HmWkW1NqG7U6xsJg/f/JzZnzhguAPNBgLc2eQKGpiMNyuRGObkShqdjY9IUdjm1cu2lUvaKqXU1jVgv5Nd/y8uTh3Nnv66N+Y8bl+J5+bZbZVhoTIaqx5Z8Wu+/4gsH3Xr9rZ9KSVSlyGWJCccjHpaum8rzB4/qtg9YA1wG27zAw9ayzMnMaaqwJQalG9nEGS4gWrNAdBCKG7q2838XijxaHzX9caWnYhWfHlL5z5p/ThV/6Pf8sdv6BEY1vEULijNHb5BXt2ckaprd/KadzKHDv4Z1I40o01Vzh/4cw/u1o773O1dR+w85lpSG4klDiljm/9lqQUqV1H3L6a8tTYwdTrL/6OmYxfouVikjvUxKoa9K7d+GH/pjt+QYk17bCS8UtUL2e44xiICKrW1H43+BEneJhllZEkurDXU21OTB2V6mObkar4S2f6v2QvLF6U6mNbpMb6rZxSGwLAsddTo63vfQxpWpAbRh4gLJROnf3nN73qoqBAgiWazy86qdQ4xFiEgqBes6tAqQ1FUUOqGgAQAOxxV8n1dZuLJ05/3pqePslNs8ghgHhR8ZBQsJnmCwvFE6c+Z19n9fqhY7kyEVhTC/2FF4/8hZ3ITGBN9rn3bfv5/8/ee8fZddXX4rucfm4vM3d6H41GZTSjLqvaKhbuNjbYFBOK4UeAEELq46U8eCkkJJCEEicQCMV0sI1tbMuW1Ue9jqb3fns799S99++POwJb1kgj2y8Ix+vzuX/N3H322feUvdde37W4oK8GMEaZ9Ws55oJAKSFZLZp99vCX1HXL3+HasuoDQlXpMnsi2kVS2Um+JFAPAADSsqad/PGun4B5CB4AAKCakdKOnHtMWtywTV2/4qHUY09/Orun8yvKipbblTXL7ufLQ4vssZmz9mxiQKiKLAcQQOxRw0hVXiHrnw8kk48y3cxISxu3k2x+1hqbPitURZaTbD5qDk0cd2YS/YBSItSWdyBF9lHdzF6PRBoAACBGHAAQCvWVq7nSYJM1PHEcIsT5H9j51ySrxfTz/c8yw9QAz0nY6yoFlxvgXc+xIIRQEl1iY/V6/zt27eKCvmpGiC1UlS3HbiVkz8b77clYNzXMPBJ4ma8oaYWioHjv2PonzDTzRvfQS9ithuGmlQ+TRHo8f+DUt5xEegwgiLiQr+6ax+ewgNxqmNmOwSxHV1Ys2m1NRLs8O9c/jFxKILf32KPMdgx1fdtDYkPVmvzB09+2xqbPvNbzXdCYcJwEKHWM7qF92uGz33XiqRG+PLzYe8fWP8UuJQRoUb49324Y5DnB//Yd93Mhf21+34mv2xOzF7DfUwEx5kk2P2uOTJ22x2fO8WXhFt/d2z4jlIdbtc7z3zf6xg4vlGygupHz7Fj3gryscQcUBReg1NYv9D+vHT77PSSJbqmlbouyesl9gDJizyYGJJ87Ire33KGd6PopAODa5CtljpNIj2efOfAF16aV73NvW/MIH/bXWWPTZ6mmp7hIsAkCAOT2ltu1o+d/COYheAAoptFpxy78yP/2HZ9V1y1/R/qnL/xl9rnD/6ysWnKvsqr1Hi7kq7ZGpk45sdSI2Fi9HkAAsc9dhmTRDd5gjxQzb2eMjJVctL3yflt3tMW3Vj3oLpEfN3J2GmHIiW7eK/vEkOwVApJXCIou3jt5On4wPpS9rhSyNysghBwFxPSg4EoEkMhB3osBp0KArjjXpIxYZVz9YAXX8DtxMvVLACCXo+nzFjOiNjMTFFDDZmYqTWOHIYCIh2KQAWoBAABhjl7KVZ/2otA6GbnqY/bEL6Jg7GcIIqGca/gdmxnxGTL6Awkq1aW45u0EOJpFjdkgLt8pQKkUAoiG7fN/XWD5YRvYmVp+yacpIAYFzLGBlfLjko0ClEt77GMfA/+N6agLBdH1DOf3fRFgxMmLmnfY0Vifk0yOcIFALUSIM8fGj0NJdGf2HfyS3tP3POf3VXF+XzVEmOdc7hIaKW19eXtUN7Kc1/vPEGNRrKvdIEQiS0g+H7PGJ05CSXQLJSUtgFLCh0KNEGOelZQsEqurVrk62h+EgqAWznc9bk1MnnYymQm5ZdGtek/vs3pP33Oveg4S6iBJ9CitLW8zhoYPkmwhhf3+agghxm73/KopXDTG50vCzfLilt3UMLKcz1cJeV6eez9ffbxy+Vk+GKyjup4WysqWCpUV7U7yleWjjDFCDSPDhUKN0qLGW4zB4QPW+MRJqaFuk1hbs84cGT2i9w28SAtaUqisaHevXfM7XCjYaPT2P2+MjR+nWj7Oh8PNro4V7+CCwXoAGMCqGkSy7E38+Kcfo5eZJuv9gy+l97z4t55NN32MCwbqIcYC1fW0du7Cz4RwqJlZloY9nnKAEA+IY8o8FpWlS+8Ua6rWGAND+8yx8eP27Gw39vtrUEXFiuyhw18lhcKr1iaQ5yRrcuosFEUPVpUQNYyMa/XK9wKEOCRLXoggXMi7hTHGsCKfLJy/8LhUX7dRXtS8w4nFB3KHOx9FqhJUly+7lwzkZ4WyyFIU9NdeMu1llFLO5zvsJFIjyOMqTe958W8hx0tiXe1NhTPnfuxkMhPFlC/EG/0De42hkUOutavepyxbcqeTSA5BUVDc69d+sHD+wuPUsvIkk5lCsuJTly+/N3/0xDcZpTYUBVVubbnVGBja76Qzk4LbXQoAhJzHHZmvVL0YVsHLnN9fLVZXrWaMUuz1VkCek7GiBCCE8GqqFpLLz2KPpxxQ5nDBQJ3YULfR6B/c98qDQIQUxU8y2UknlRq3popqm2LCHK9eri5itm0iWfo+YIyJDfWblMUtu/Wui7/IHep8FEmi23frzr+AAq+Ioqgyy9at2SK5g92uEqmxYauTyU5ir6f8CgQVBBAiIRJpda1Z+R5GKTH7xo5a0zNdUkP9JrW97YErpQT/ChjzkOclJ52ZoLqRAbOzF6XGhq2IF65ozExt2xArK74t1tZuEMrLlgEIkT09e6FwvusJpbVlN9WNDCPEkhobtiJF8b/8J2KEOEiWfogV2aesaLufLy1pIbl81EmmRpxkalQoLW1hppnnAoFagDHPW5bG+XxVanvb/Vww2KBf7H7KHB07Zsfi/WJtzTo7nhjMHTvxrSv58r6ZcUMSPJzHW+VbueHDzHFMbaj3OWNq4qQ+Nrjf0fJRtWHRTqW26WbO5SkzZiZO5brO/CB1dN8/MUoJRJjn3N4KubruJsAYA+zVxn5E1xLp44e+oo8PH7JiMxeJoacuW2zmsSTt1yfHjoqGnk6dPPw1ahgZRo6aUlllh3fF2vdjRQ2DeQieSyU9vlU3fTTff/Ep3u2tkCuq1+iTY8fAZSVTECEslpYv865Y/T47kx5njmMwxoidiPVxbm+Fq3HxbXJ1/SaIsKBPjh0l+ewM5/aUCcGSRUTLR518bhrJit+YGj+u1DXdjFV3JL73mT9Xapu2AQAAuEIKkxmduZA8+MLfFUYG9tqZ5Ah9dbxkVAxHfuFa3PZ2c3bqXGG4bw8paHFGqeNfu/mTUlllB+J56U19ozBGGWUUMMDUle0PCeVly5BLDZFsboYPBuoYY9Semj4vNTfeDBDCNK/Fjf7Bl6hp5Tmft0Lv7n3Ompr+lWHpXBKXly8pWYTd7oiTSAwCABiAEIM5xprqeqboLVHSit3ukqLscuqMk85MSC2LdlFNi9OCngQqCtqz0R69t2+Pk0gMMnLjqHcAAAAiiAEEwIkmBu2pWI+8ouV2dd3yd2C3EmKGlYMYccyyF5xMwhhjgDIi1pav9Ny26dNSS/1WZtu6NTF70y0SXAAAIABJREFUAcmSV6gt7yBaIQklwUVzWswan76qfwqjlPJl4cP2xMx5ZVXr3cy0NBz0VmKXEqIFI611nv8+zWkJsaFyjdRavw0ihKEoqEgWPWABBA+z7IKTzIzzkVAzgBCJDVVrIc/JTjw9in3uMmVFy+0QI47ktFgxyrQY/brQ8QAAgGLdPEB8JNTsxFOjXDhQJy1t3E7S+dnsLw99kTnEZIwRxHMi9rnLAAAXr9nmFYAEXhJbatd4tq//GFcabCSZ3Iw9He8V6ytXM9vSUz8+9L/tiZnzOOCtlJprN/LVZW1c2F8LEeIAAkjvHnqpcKb3KZJIjxXrUDmZZLUYzeSjAACIXUoAIgQZpfNPLDHmkCL5kCx6PNvXfTS39/i/Y5cSYqal6ef6npWK5UtNyKWEAEaC3jWw5/+14gJihAFjzBqbOUsyuRnX5pW/Iy9r2oVU2c8sRwcYcVebKPGlwUalY/GdgDHKl4dbhKrIMnNk6pR+pvdpyGGeLws1u9a3vVNcVLuZC/qqmeOY1nS0h9n2dakIzMGJY8y0NCgKLieeHrOGp05iVfYDCBFfWbrU7BnZl9t34hvSotpN0qLajWJ95Sou5K8F1/C2YcV3K5Oaazd6btv0h2JD9VpqmDlrKtqNvK4S7PeU01whDgVeJqnslDU523XV9mzHFOsrX3JiqRF1/fIHAYSILw02IkXykaw2a/aNHaSGmZOaazaKTTUbIIIIyZJnzkT8DSV41KAUadhUdrvkFQKUULtiRXBDy66qd9i6o2EBiQgjzjGJbmp2lhFGRDfvtQ1SANcZM/9mBIQI13KtPo3m+g2mjQZw6VY39C+zgBFDEM2bjhQj408S5mgyUusKLNdnUm0iwtU9CAHEGHBKgWX7GaC2D5VuFqFSaQF9BkKIGGM0RaKHwrjqLoNqY0Fcth1DLCfJ7D4VelvSNHrIYXZWRq46ACBUoaeZIEezmZnI0PixIIrcjCHvYYxa087Qtyu4xg/yUAwp0N2Qo6mzBZDt46EYhmD+vv+mQdKZyfSzez5nR2N9fKR0sdTUuJUkU2O5zmPf4IKBOj4cbtJ7+p4Xa6pWy4uadyCeV+x4YoDk83FrfOLE5e05mcw0luW/4kKhBqmxfosQKW3lwqFG7FLDzCYmkkQ3LegpFo8PQJ6X+XC42ZyYPF043/VzapmaUBZZqjbUbjSHRg4WLvY8Q03zle/6opohACh1Che7nya5/Cx2uyPObLSH1lSvnUunuiIgRjwUBJVohaR26sz3scdVagwMvuRavfI9nNdbMe8gzSVOAgBh5sWX/gFyWBAqylfAoXmPBQFgtHC+63EAAHCvW/1+7HKVUMPIMNs2qGnk+LKyZWJV1arCxZ6nqa5nOK+3XG6o3ww4TmRm0UhZO3X6+0iWvfLilt3ZQ0e+ZgyPdl5OFjDHsSDH/cQcHu0Ua6rXiHU1G7hQqJHzeSoYZQ7ieYUxwKhWSDCH2Jw/UAMAAOnnXvhra2r6HPZ5K+TFLbdS09SyBw992Y4nhl91MhzHRz7yQZeZzkzovX3Pk1w+6lq98t3G4NB+viTcjGTJO0eALOi9SQp6hg/4Pw8Q4oSyyBLscpVc2gQlqfS4k8lMAox52espZ/TXZs8km53OHjryVe+2zX/g23HLn/GR0lYkSV6STI2pwbb7hYqKFbnDRx6lppX33rzlDzi/vyZ/4tR3pYb6TdS2DQgg5Pz+GmaYOXNs/LiybOndjDgWo5Sqy5cFAaVE7+3bY89Guzmvt9KJxnqJpsWhJHnmLeFDCCNRdFHTzGtnz/+U8/uqjP7BF9X2Fe/EXm/l3PdeNS4QIgx5XoEYC9mDh7/CLEsTa6rX6D19e4obcK+4miCSZT/n99XwJeFZzuersOPxQWoYWchx4twG3ys2PKluZCHHfUvv69/Dl0WWqh3tD9KCnnLS6XE7Gu3BPl9V9sChf+VcrhJrZvYiI8TigoE6pMg+qSTcXLjQ9aQxMtp5WbcZAIBht6sUybLfHJ84gd3uUklRAkJF+QoA5lLS5gFWlKCro/1BOxbrY5QSrCpB7HaXzqfgAQAAa3qmK/3cnv/r3br5k0JZZAkfCNSoK5a/HWLEW7PRHicW7+dLS1vBFeZLVDeySBC+XOjqeUqqr9soVJa3C2WRpdjjKWeOYyBJ8jDLKjip9BgAEHKhYAPJa/Fc57FvzCm5WtSOtnfYs7Ge7MnTj5FcPjZfP9+suCEJHt7rr5LKKjsyZ49/K33i8Nes+Gw3QJhTauo3l+y86x+pZeZiLz79v4oeOq+SaF9AvLDfnJ44aSVi/ZfX/zv5XBQA8LdXOz4j1Cb57DQsq+zgPb5KXKq2kYKWMGenzzHimGJJ2TJwmXnVJUCOkxDmJWN64qQ+NnzQ5HkFIIQZJc7lCzmsukvCO+78e6IXEsnDL/6dk8tMyanksFRRvZb3BeqEksgSACGO7336f2W7zvyQmsXEGLWu6WBw262f5VR3qT42fNC/dvPvEV1LpI7u/yfO7SnHqivsZFLj4ArMsz4+fARcwzCWmkaWGnoKy7Kf9wXqxEhlhzk9ftKcnjipNrTcynv9NQCA3qu18dsMZtsFJAqq3NK8E3s8ZVJD3SZGqQO3bPy9olFfatiene3GXm+lUFneZkfjfbRQSNnRWE/++Mlv27PRVyyQqFZI5o8c+zqURG8xkw1x5vjECfCylx8t6CntzPmfSI31mxkhtjUz221NTJ4qnO968r9/BF4nIMJcJNTkvWvbZ6TW+m3ZZw9/yZ6K9bhvXvOIunrpfcy0Fp7ExhgFHBbU9W0PQoyF/IGT36S6mWUOsZDAy/ZMvE+oLlvh2bXh96AoqIBe2/CUJNNjRs/IfveO9R+X2xfdlvn53s/pXQN7mO0Y8rKmneq6tgexzx3RDp/5LlJkHw76aubUAtfurmXrTiI9JtSUtbs2tr/Xmpi9kH328Bft6Viv1FS9wZFEt3b0/I+cRGYs+P67v1bM6L0+k1aIEQcIsbTjXT/N7z/5DexWwtKSxltyLx77N2t85oJQWdr6qxh1v2f+ie9VgGTR7b5l7QfdOzd8HImCy56OdiNZdLu3rvoAM+1C+om9fw0x4lybVj6MvK4yeUnDzVAUXMx2DJLXErnnjvxz9rkj/8oMM4cDngqxrnI18qhhwHECA4BBCCHAmJsjOects4EYcUgS3fZUrDv7y0NfNIcnTygrFr0NB7xVfHnJYnNgrLNw4uLP3Dev+TBfUbLEmY694ca7VwSHBbGufKW8vGkXF/LXZp586W+obmZ9d237jFBXsfJqKXFic+1G7HVHqG5mreGpk/qFgT1OPDVCC3oayZIHe9QS5JKDUOAkgCAGRe+Fq0XUXxFOIjPmJDLjgsdVQtK5abN35KBQU94u1Ja16ycvPm7PxHvFhqq1cvviOwAAALnVsNhQuQZcy7yYMoJk0aOub3uIOcTKv3T836lpaoBQB3Cc4MwmBsSmmpvct6z5SPGevDaBaU/HesyRyVPq+rZ3ysuadmZ+/uJnje6hlwBCWG5rfpu6dvkDSJF8+QMn/5PzecqhWkxwud4xuRZkvxjSM2Z86MD0U7zMqZbmZCkFNDetjfIK50Yc4nIzhXFB5dz5uDkdafWv4iV8xR3M/2lAAIkClCIKdNWVoqq7KaNWjEw86UaBDnhZctXL4TA7BwB4HENODuOK2/y4dAtlREcQywYrTMjQ3aBib6sIlfIMjR+ddoa+c+mZaTEj5kGBL5VyNW/3w8g2CCHnQyU3AQCxBF01CHHyNBn+7gwZeayOW/onPhxeZzMzwQBjMnTVEebk5xbdF3go/KUfR7a6oLfFhXzLJahWEuAUGFh4OfF/N+b6HocQfpUvCTcrS5fcIdXWbAAQwqJSltj+3Tv+QqiqXAkR5uxYfIBR4mRe2v9P5ujY0Su1SYqpTacAAKcQz0tiXe0Gtb3tAaVl0S5q2wVrevggdrlK1Lbl9znpzATJ52Ou1SvfCxgl5vjEqcxLB/6JJFNXjFQHEKKibw4WfNtv+VOiaXEkCCoSRTfgOAGJV3nPMsYgQti7bfOnGKGWMTi4XygrW86Hgg1FtcyVATEnIkF0WVNTZ6XmxpuVpa132NOzXUgQFIqNV16XjDFAiIUEQZUbG7ZCSfRwXm+5WFuzHnu95bkjnf/Ol5YuFmuqVpsjY0dJbiIKAGOQwxKj1KG5bIoW9BRIZyblRc3bsccdyR05+h+Fiz1PzxflPueXMzz3+QFfEm5S25bfVzQM9tfoA4N7qV5IuVZ1vBtwnODE4v1SY8MWqblxG0lnJrULXU+YQyOH5itXxYoShBwnIUn0uNeselioKF/hxBODxsDQPqyqISQrPgDmKWGaB3YyNYZE8Q+kxoat8uJFu8SK8hVzni9Q5DhRrKle6ySTw/RlaVeMUgoh/DnJ5aJyc+PNAALI+QM1ni2bPoFk2UcNPa2ubH+QZHOzxsDgS5kXX/oCyWSnxNqadb7dO/9Sqq/byJeEFzmZ7GTwvnv+GXvcZXpv//MAAIC9nnKAMe/ZvOkTNJ+PA4w5rMh+gPGla2qe82MMQIg8G9Y9wgi1jYGBvXxJeJFQWtJiTwfPXYl8KQ4q5pAkuq2p6XNiZUWHsnzp3U4yNXolUQEEEGJFCQCMObGmeg3VCkkoCi4+FGosnLvwsyut0wB45XXBl5T0qktb75Aa6jdjj6eMZLPTSsuiW7lAoFZpW34foMTBHk+ZHY31Zfcd/Ge9u+eZV8WpE2KTXG4WcryoLGm9TVnSeltxA5U6AABmjo2foJelk72sNwBAiPTunmezRzr/DctKQKyrWS9WVa0Cl5c5vvxbhDgQwqetqamzypLWO6TGhi2C31cNBV7mLLvAR0oXixXlbXpPzy+v5NU3dw7dAIBuiDEWysva1BVt9ytLFr8NKUqwcLH7aQABct+07sPUtPIklR5Tli65E0CI7NnZi7nO49+wZ2Yv3ighNP/duOEIHogQ8iztqHGymanMySOP2pnUqNq4eLcQLFnEGCXENLLJQy9+fh5yBwAAALUtHQDw+DWPhTGHFTXEqe6IEI60cqorTPRCSm1oyXJubyXExXItY2r8RGFk4EXGKKGWmReC4XkNHiHHS1AQVKyoIQAhghjzvC9Yb85MnLp8IScEQo1YUYKJ/c99FvGC6m1f+wGsuEKc4grrU2PHpfKqlcmDL/xN9sKpx6j160VxYXz4kNB19odyTf1mAAGUIhXtdiox5Fna8S5i6CnECyoljgHA1ReOiOclrLojnMsTESPlbRBhnhS0mFxTD5EoepAoeuRKboM20P20MT1xEmDMu0XRg12eMvBmJngsW5+LaRSoZWnpXz7/V3JL805zdOwYwJzIh0ONUlPjNmrbBb2r52lzfPyENT55ykkkhugVyAsnm50BAPzbVY9ZfMjvn/uAa0lDb1RQw8oxQhypuWYjrSnvoAU9JS2u3yrWV64W6ypWAQgQteyFEzyUEqrpqfyx8z+SWuq2KGuW3Y/dSsiejvWQXCEuLW3cKdZVdAAO80gWPVzYXwMAmLhqk6atq2uXHVI3tL2LakaaanpS6Wi9S1295F6+OtJmDk4czfxi39+RVHZSbKxa79625hEoLZDgsR3dSaTHAQPMHJw4mnrsmT8iuXyULy9Z7CQyY/mDZ77tJFKjfEXpkuIXGFsIKfUKYMQzh1jW8OQJpEg+aXHDtvyBU98i2XwUSaKKPapOcoUYF/RVXypfux5wAW+F755bPunasuoDSBLdJJWZJHk9aVwc2mt0D+9zb1vziLx80W6zZ3if0T962L1l1QdpvpDUD599zByePEG1QtIcGO/kSgJ16uol90lLGm/BbiWEPWqJNTZz1uwfO8IYY6xgZK7poYKxADHi7Ol4L3IpweDDd36Z6ka2cLzrJ9bY9Flm2brnbZs+raxsvZtoeup6vJ1eK2jBzAIGmLJyyT0AQehEkyNKR+tdgFLCR0LNgFCH2c4VFY6Q58Xgw3eshhwWcns6v5z5xf7PQ4w4LhJqVje0PSQ1Vq9ntmPYU9Fu5lBbWbn4LmbaBWtk+qpm1FcCs2zdGp06fSlq3HvPzX/uRJODTiIzJi1r2um5bfMfIkl0W6NTp6yx6bN8RekSoaZ8BcTosasqAwmxSSY/qx278CNpSeN2dfWSe6EkuOypWA/VCkm5bdHbxLqKVRAhjFxygAv4qsDLUr6uOKa6mfdsX3dAaW+5nea0ODWtvLqx/b3qqiV38+XhVv18/7O5F45+lWRyM/Ly5lvVdcvfia6yc/hawQgjCCOeE4Fk5Kw0I8whNjW1hDkL01bcW67UWpqT9de4m9WQHPFElKqps6+5AvJNBwqI7kHB1RmaOJ6m0YMu5F8uQrkUAjivYeklEOboEMKfJsjMHh4KfgywggAWi2VfzHGYlTaZPkXYK++tLE2ewZDr5YHgx5B3YYBlCBHvMDtnssKkw+w8hBB220c/KjpKuaogHwQQjel2TGf5oUvt2MxKAwB+jiDiOSD4eCj4AIDQZMYNH60rikDktPhU/sD+f2Gi4sVFzw8JYsQzBhggxCnaBxhZomnxhfjJAVAsswAAvIhk6UTu4OGvCJUVHUJV5UrO76uihpGFouCiUb2v0NX1pDU1fY5kczNXe6YXzYU93zBHRzs5n6+K83orsc9bwXm9FajojfMqVdElOMnUSPS/vvsQlmU/QBBzgUAtVtWQHY31Uk2b9yYk+Xw0+cQv/ogLBeuFyoqV5shY55yPJfcqA2jGKLUsjTFKnFR6DLvUEn5xy62QwwISBZdr9cr32FMzF3LHT/wXzeVnIYcFedGinWrb0nuQyxWmeS3OHMdkjmPoPb3PZfbu+4Idi/e/PK76WrCjsX7IcV/QTp1+jC8tbRVrqtYI5eXLGaUOpBQDjHmjr/9FY2j4gJNIDr9KJXUZIM9JkOclqbFhi97d+2z2cOejJJOdhBjxUBRUyHPyawjbBHPHfQqJwl6kqEEkim6IEQ8w5iBCHDWMjHOZ58ncnPYQRKgTSZIHSZIHiqIL8pwEIcTUtgskl49STYtfWpRDhI7Gv/eD92OvtxxCiKEgKIBShzmOSeZ+d+302R/ZM7Nd2Oet4orXU/G68njKzNHRzisRLwAUS6zij/3wA1hVggAijH3eCrG6ao0di/eTXD4K5lE1UV3PpJ55/q/4cLBRqChvM0fGjiKXGsSy7DNGRjtfTtowQszkE7/4QygILsAYLda9Q8wAYE4iObIQD007Gu2DCH0RybIXSaIH8oICBV6eS9BijFLCTDNP8lqMFgqpK60dimVy3i8aff0vFAk1IztXJmUDABjV9QzJ5a+oUjfHJ0/F/uu7D1HDyACHWKRQSJqjY8ei3/7eu0ny1SmZrzhusS8TEKF/006f/QFS5ADkeQnOeQJBCLGTTA1f6x6Z+/spJAjd+aPH/5MvL1su1lStESKRVmbZBYgQzyglha6LvzBHx4466czE9aqe32y44QgeACDELncptcwcHwg3YcUVlqvrNjrZzIRUUb3Wis1253vO/eT1misiUXK7F7fdLlfWrAUIcZzqLi2MDR2w06kRIRBs5DzeCt7nr7ES0V47kxoVI+UrjMnx49SyNKy4SubtPUI8RIgnWj6GZSWAJdmHeF6Z88R5xVNULC1foY+PHDJnp84iSfYZE2NHOa+vymSMShU1a0lBi+e6zvzg5eQOAEVml/f6fxbatvuz+d4Ljyf2P/t/XIuW3Y1lxQ85TuRc7lI2Mb8HBAAA8B5/pW/VTQ/wvkAtQIjDkuzNdZ/7CTX0rFRetRJLih/JSkCfGD3KGKNiWWUHLWhxyPEilmTv6xn7Gx3McUzIcRJSZH/uUOejfDjUBCXZq509/1NrYuo0LKoOAANzi3PGyBvNEP82kjsAAEBzWpxZtmb0jhzI7z/1TWbZBSeWHBYbq9eJ9VVrGKH2fIvfK4ER5jDDzDHGqHvH+o9hn7vMiadHmWFpNJOfLZZE8gooxoZLc4lXh67VrjU8eYJktahYX7k6+Mjbv0nzWpzm9aTZP34E8pwUePftX4QcEiDPS0XPAGGhBI9BUrkpZtm62Td6iK8qXSaqtT79dM+TJJmZmDPWc/3K9I+BK5aSXg0QQQQl0eXasuoDtKCncy8ef1Ssr1ztvX3zH5uDE0e1znM/cKKJIbGxaj0X8tUigZepZevXbnmO3Ln3lr903dT+HmbbeuFk18/yh858x+wbPSQtbdguLa7banQP7s0+d+RfmGnlfQ/s+hsAAMsfOvMdqukpJAtuABjz3rHlT+RlTbucVHZSP9f3S74k0MCXhRbl9nR+VWyqWQ8oI/Z07JokMRQ4CUAIpZbazVzQW611nvuBk8yMAQggFHjZfcvaj7i3rvoAFAUV5AsJ8N+QcEQyuRnmOKZ29NwPjN7RA1QrpEgmP6O0t9wutdZvAxhhRq5MNHE+V4SPhJqp7RiMUMd9y5qPSIvrt4o15R1QEl00p8WM/tHDQl3lKqG2vANAiEguH7OjiaErtXc1MMcx7ZnEAAAA4qC3EsC5yb7AKwBAyAwzl3728JdIKjsVeNdt/wgQxHxJoBGpsh8AEJ+3XUJtalg5yHOSZ+f6TyBZdDvR5BDTzRzJaFHI8zIUi+QLEgWVK0aaX9MrzOgf66QFIy211t/MV5Uuo7lCnGp60ugdPYB9nrLg++78CsCIg4KgFEvP3niCJx/TpybPJg5BBLGgcG5e4Vy56cKYHBDDGEPesagh+8VwbrYwTh3mFJJmLD6YfU0lkG82EOYUVOT5L4uZcQkq1RJUqwizszN09Ec2s66a/HYJc5tgaTBfCfz8x9YBAPM+4+bep+OCCGd33am8DyGA971odKUnyaveRZRRGwAQm/vc8OA4yG3fJd0WLkHlJ49bBy9eyJ0GV/G8ei2gupEFAJyDCF0AJ099F0CE4JwqgjFKAKHOQucsTiY7AwCYgQgVvTIhQHNub4hROi/xNEc2/br0HSGUP3HyOwAidDWV4JwS4gxE6FzhfNcTlzw6IQDwVYvrOY9ArKph94a1j3ChUAN2u0rtaKyX5HKzdizeT00z516z6mGkyH7s8ZRBzAnMsjR7NtrrJFPD5shop97b97wdTwxdnma1UMyFCYxCCMf03r7n52LbUbGLjAJKnYXOOZ10ZiJ35OjXpcaGLfKipu0ybuEBY6yY7Y55ezbaM5+KZCGY29Rc+KYdAGBu3FNgASW2c+c5Ofe5Ikg+HwMA7CteUwACMPcbF68pZz7yYG6cf/X8hggh7dSZHwJUvKbm/V5x/dkFEeoudHU/VbymAIQAQsYYeblaa64E/XV7Zc6NWXLu85rgpDOTEMIpACEAxUrrhXn6GUYOvMyQHRRDQXIAgAXPS+Z+x9fVfwB+perpgxD2F85f+DlAEMM5hvJ67403O248ggcChEXJSy0zD4hjcW5PWbFwF3Gc21Omjw4deD3+LxBCyLm9FaEtuz6p1Ddvd7KZSchzEsnnZqlpZF3NrberDYt2AYRw9sKp72XPHP8mgBBL5VUrxfBc6QPHzx8rWHwIM2Ny7Bg1Ckmi5aOFsaEDQiDcBNEra7k5j6/SyWWnhXCkFfG84mj5qDkzdUaMlK9Q65t3ZM4e/6aj5a44yXCymQlHy826mlpvz144/b38QPfTiOdlKxEfEAKhJuY4BmCvlhZChLBUVtVRsvueP+O9vionm53kPN7KfF/Xk1iUfO7Fy98ulpa3MeJYqSMvfUEb7P4l7wvWC8FwMyloMYgQD9DV3OXfBGCMklxuxo4nhhghtjk+eYovK1sKOU6ceyEsaPfrfyJITosz3czZE7Nd+oX+57mSQJ1rU8fDXCTUXDjZ9XN17fIHFhqRDgAAlxKaaE6Lpx575g8ZpQQQanElgQZ5efOtkEOCcXForyvorQYY8zjgq1xIs04iM+7EksN8ebjF6BrYox09/0PO76nkSgL1Yl3FSpLKTtnjM+fltubdSJX9UOAXVIbBCCHuLatiAELo2tT+MDWsnBNNDokNVeuQwEtQ4GSi6Snt4OlvAwAAA4xebwoao4xACJFYV7HSGBjrFJuq15NEeozkCnG+LNzCbFu3Z5ODgDGK/d6KuWSnq6qaAACAj4QaAw/u/j9yx+K77NnEQPbpA/9QONv7NM3rSXlZ4w7vbVv+SD/X98vc80e+TAtG2nvX1v8l1pS3k0xuRl277IFL5ThIltxQ4BXt+IWfWEMTxwFjjK+OLGe2Y/JVkeXy8qZbAaWONXptM+RLKSdQ4JX8oTPfgRhxQm3FKnti9oK6fvmDkMNi6sd7/tyzfe1HkUcNA3RtpcDrBcnkZ5hh5q2RqZNG18ALfGXpEs+O9R9HiuTVjl34sdKx+E4wzwYEUmQ/8qhhJIluzy1rPsIYoySdmy6c6fmFPR3vIansNPa6S9UNbQ+BuQUUyWizYB7C6OodpQ7J5GcAAMCZTQzk9538hjU528VHQov48pLFmacO/D2AAHrv2vpnXIm/DgDAiglp1yJ4iAMcx3ISmfHkt5/8OHOIBQi1+cqSpfKSxu2MUWJ0D72k3tT+bsjzEhfwLuyejCWHnERmnAv6qgsnLv5MP9v3DFfir+PDgXrsc0WcWGrYmop1q6uW3AsFXoFzhu5vJLSEEQUA/Gih/w/Ra9j6fhNDo9k+cK0Sv98gMIbcmvXCVkGA4tCA0w1uQPPk6wVCALW18+sqqnCtbQMLAHDdar+FYm7h9IYsnl62CHtNPoLX25eF/D+jlLra2woAYc7JZCepaebM0fFj5ujoUe/WLZ8qXOx+Sjtz7sdcMFCHVTUEAGDMcSxmFePLSS4fZaaZf6M26ObaeV2b2XNlMl/TTp3+HnK5Sl6RHMYAcNLp8d+GBTFEmONEJcAosYllZBi7Quz5DXhN3Wj4bd08vhwvuzfe0CTNhQIhiFxu6KEU0HyOZt/ItiUZyrKM1FyWphzn+jaAX44bj+ABEEBeUKll5sUz5q7AAAAgAElEQVTyqpVUL6TzPed/ptQ2bhXDkSX53q4nXk/rfDDcFNy0439LZVUr9dGBlwpjwwelsooOYhhpiDAvV9dvNqPT5/XJsWPMsQvqoiV3cYorzAdCDcbU+EnIcSLRrhLBS6kNGGCeFasfNqfHTxpTEyelssoOoheS4LLdZU5RQ0B1hQGjJN9z4eeMUSKGS5e4mpfeiUTRbSWi806UGKPMu3zV+cBNt/yJEI4sMWMz53NdZ36EFTUohEpbtIGeZ15l6owxp9Q2bglu2fXnEHNyrufCz0kuMyVX12+0M6kxwR+s5/3Bem2w9zk7GesDECLvyps+gmXZz7m9FcbEaCd1bJ0a+htqbHnjgTFS0NM0l59Foujiq6tWY4+77Kr14W8BAFAsUWKUEi4cqPNsX/dRvqJkiT0VvZjfd+Lr8oqW25FLDlyX+o5SygixqGFpSBKPi03VG1w3dzzChQP11sjkSarpKam14WaAEAcZpZDH85OvL+8nIU7gobf1yMubdyFRUIWycIvnts1/RDK5aXNgrNOZTfQjj6sUcJxQTO9YOKlJ8oUEs20dcpyYfXbv54zekQMQIY6PhJqkZU27SCI1+qsyNcooIPT6XlCEEsYYA7Zj2mMzZ3PPH/kXyHGiOxJqzh86/R2aLyScaHKQGWYO+z3lyKVek+DBHlc48K63/bmyeul9AABgT0a79K7BF6hmpKTFdVtcm1f+jn7q4hP6hYHniaYnsddVij2uEqSIXieZGdcOnPqmfr7/OWpa+cA7bv07aVHtZux1R1zb1jxCM7kZZybeh/3eKs/ujb8POU5ktm3YM/FrLwTn1HLW0ORx/Xz/c3xpsBGlc9Pm4MQxJ5kex153RKgoaUWy5EaCoECef8MX/ZejWMIJqFBT1sFFgs1cyF9r9o8edhKZMfe21R+CHBZfbi75itMReQVJohswxuzJWHdu3/H/MC4OvQh5TubLQs1CQ/U6oaJkiTU0ccKJJofkFYtuA5TS16JLYpRSdfVSDRDqaEfOfT/fefb77m1rHhGqI21m/9hhZWXrXdLSxh0QAKAdOfuYtKRxO/K4SpAiXV2hSanDCLVpQc8gRTouLa7f6t688v1Ilf3myNQpYNu6tLRpJ5hL7QALvHeY7Rj2dKxHaq65CYmCKtZXrnZvX/tRJ5kZNwfGOp1YepgLeKsARjzkOAFcbmb5G8BbEeq/XbBtZvV12+e8PhTQNJb7TffnjQAhwBkccLoJAU4yQX8rVEc3MpjjGBAjjg+HmnKHOx8luXxMWdxyq1BRtlwfGHyJ5PNxcBUC/EbE3GI4M/f5rYTo8tdUbbjvy0Zq5uLMuRf/FrzBKrW3cOMAQcypSngxh0UPZcTisOQzreykpsd7GbsxgmW8PhR4/0fUT+dyLMPz8O9tm70hRBPGEN2yS9q96zb5/n/9x+xfgNexYfIbnyC9ChBAiDmB9/qrtYGeZ0ghH+V9/hrI87KdzUxcroK5Hgj+UH14xx1/IwTDzfG9T3/GmJk85W5Zfp8xOX4839/9VOnb7v1Xzu0pY8Qx3W5PuRCOtJozU2etZKwfAACEYLgJq+5SOzW/XJ5alkZ0LZHv7XrCjM10SeVVqxAvKHY6OfwqEymM+ezZ49+ktm3I1XUbhZKyZViUPIw45ly99FUfxnYmNQIAo4Xh/heMmclTnNtTTgpajFpmjjq2cbnsUqlr3l6y845/sJPx/vj+5z8HKHVci5belT555FFqGhn/mk0fhxwviSVlS+XK2vWc11epjw0dZJaVhxAiqaJ6LXNs/aoE15sBDADAGOXCoSbk8ZTBoqQXIVF6i+C5BpAieZEkuNQNbQ9JSxpuLpzqfoI51PLs3vgHQlVkGUSIu5KZ2nyYk1wSPhJq9N2/82PK8ubdVDey9ky8T17auAN5XCX2+Mx5ksyMY5+7DHLcwomYrBYFjDHsc5db49Pn8gdOfvNSGSX2eSr4ipJWrMoBgBC+nnZpvpCkupljupG1RqdP8yWBBrGpZgPNaTGSyU0DBgB2q+HiP9PrLu9jlDqAMWYOTRzNPLX/804yM+m+Ze1HjO7hl8y+kQOMMiY11QzQgpHm/J4K7FZCV2sPIgjdt6y7X+lYfBfksEB1M0syxVps95aVHxBqylYY3cP7hNryds+uDb+X23v8UdeWVR+Ulzffqh3v+kn26QNfMEemfrVr7L1t035pScMtXNhXm3nqwN8bFwb2QIywurH9YZLMjMsdi+8EADC2AC8miCACAECSyc64NnU8LDZUrrEnoxehwMtIEtxQkX18Rcli5FZCACFuzlT6qqlNrxdIlf1QFj2e3Zs+5UQTg9rxrp8gVQn4t635EA74qphpaVdKMAQAAIAxBzHmnVhqOPndX/w+o8xR17c9xJeHFzPLLlhjM+cyp7qfABjxgQd3f74YsSp7AUKvTZmEihJ1O5oY8Gxf97vqTe3vtsamz4rNNTdJTTUbqGkVMk8d+PvCmZ6nwmXhFi7sr71W6VMxYZAxoSqy1P/g7o/LSxpvIencDElmJpSOxXciSXTbk7NdJJ2bRqrsW7DShjFGs1oMAACwz12mHTn7GJR41yV/TC7gqRJqylYgSXQB8Gt111t4CwsFJYB86+vaFzkeCobBCgAAgBCELhf0BEOoJJtlmdIIqoiU4UpdZ9pAn3MxmaBRQorvLFGEIkIAEQKIZbFXqOoEAQoIAeQ4wHGcX0/2EYKI5wF/6XuOA2z6MmJQEKBAGaDOPAsEhCDkeCBgBDBjgBICCCGA0DnvNkIYFQT4HUGEon1ZnwAoLhg4DvAIQ0wJI7YNLHoZMSmKUAwEURhCABGGXE0tbhBFKI+PksGREaffttirVMu/ard4Xo7jAOfydgUB8hgDjjHACAWEEkAujeWNCmoVvYrMkdEjJJebxW53xJqN9gjReB8SBPU33b//qYCYEx0jH3dMLY540Q3eInjetJBEb3VVZN0n0rnRgzynBMOBljtsW09dHPzZB8AbnJz5WqEoUIUQIsemtqxAF7jOsuL5ACFAHg/yZzM0rSjI9Xr8WG88ggcAABBExszUmaJJMSc62fQE5DiJU9UwVl1XXazM26QoukKbd/1/Sn3zdq3v4lPUMnPu1rb7OUUNY9UV5jy+SjFS0Z7rOvPDzLkT30IYS+Fdd/8j5HlZHx85bCVifZ7WtvuLpVRXITgYJYxSAnlOkqtqN1DLyjv57DS1bf1KaTlKffNOO5UYspLxfjuVHGaMUrV+0Y5iqdfVX4RELyQBhFiuql1P9GLKl7t1+X1CsKSFEWK+/KLgPb6Ksnve9cecy1ueu3Dm+5zLWy5FyldgRQ1LFdVr5pLBYOrovi8VBvueEyPlbeEdd/4DcxwzP9DzrJTLTruXtj9ItNwMMfTf2l2AhQJiLDDb1qmWjwEGABcKNkDxrZf7tYBUOQA4TiCZ/KxxcXCvPT5zXqiKLLenYt1a57nve9+26dPXuTBjgDKKFMkHIYBa57nvQ0lQsd9ToR278CNzYPwoAIz57tr2Gez3lKNidPKCQPOFJGCAIVX2WxOzF4zekQMAAABF0aW0t9wutdRuYpQSyGEBcHjByhCaLySYbmahJLq5oLdaXta8S6gt76CmVeBCvmr9VM+T1vjMWQAYeE2mwITaAABmTcxeIDktLrc2bKMFI62f7X36kjmuHU0OUs1I46CvGge8lRAjPJ9xLvZ7K5WVrfdcMpLO7en8in5h4HnP7o2fUlYuvss43/+csqLldoAgKpzqfsJ7x5Y/FWsrVmpHzn4v/fje/0vSuelXnr+eApQSo3t4X6Hz3A+QIvvcuzd8yuwfPWT2jh6QljZuhwKvII9aeq1TZU7xXMWWus3Il4jYU9GewumeXzix5BBSlQBfFl7EBX3V9mS0W6guW86XBhoBAM9d95heBy4RZk48NaJ3De5xYslhqaVui3by4s8BA8x104p3z5kfvhqUEkaJAxBErk0rH+YrSpbYs4kB4+LQXieeHmGUEnFR7UbXxvaH+dJgAwAAYJ+rDLvkALhOTxCIEXZt7PBQTU868dQo5/dUZp858AXI87KysvVuJ5Eed+LpUWlZ4w6hvnI1lEQ35DkJ4muRmYwBABhyyQFAqKMdPP0dpBZLz/IHTn3LGpo4DgVe9t17y19itxK8WozqK5sFjOQLSQAAQC45YPSPHjL6Rg4CUCTV1FVL75VaG26eS9YTr0dV9xauDogRlquCLcyhNjGsPNVtjRhWjpEbv3TjehAKo8hd98nvqavnFj3+E/2/AAD7yitwze/9oftzFRW4Opej2fFRMijJUKmp5RozGZr8wXe1RxGGz6sqdH34Y65PLV3Grzp+zNofCuNvxWOkSIR7kOe971c/XFGFa08dtw5JMvyZoTPd7UaeVWuF9jvvkd/lD6Bw13n75PGj1n6vD53PpGnK40W+D3/c9cl4lM7U1XMvxOM0ihFAbg/yGQbTU0kaW9HBr715p3RneQWuic3S6XiczIwOO/0lpbgzOkumPR7kvfcB5Z3NLdzS7i77DELwG5eIFn8ABbfcIm7YfZv8QKQMVfb2OOdf2mM8GQzhM8kEjTPGmCwj5V0Pqx/Ztl28g1JAo7NkKhal0y2tfBtjABzrNF/y+dG/pVP0V94ZPj8KbNgkrr79LulBWYGuc2fsoyeOWgfcbnQxl6NZhCCsqcVNj/yu68HqGq6hUGD5mWkyMT3pjNU1cMeGB50btoyP2bZBLUuDougGGPN2PDHABfy11DCy/y+S+97CwsCJih8wRhyzkESYW5BS+y38doLjJI8oeCogxLzAu0qz+enTLqVkKUJvfFn2awXHA4FSRmZn6KQgwDesXxACKIhAnJoko4wx9nqKwG88gocBxhzH5EPeSivKnTOS8UHO7SlzctkZKxEf4L2B2tfSrBAIN3mWdTwEGKPUNnOhzbv+AkCIjOnxE8BxDP/aTZ9Ide77Yvrk4a9S2zY4RQ0SLR+1ErE+auhpzu0pz/V1PRlYt+X3saLOSzIhWQnwXn+Vr2PDhzNnjv6nEAw1Y1kNWYlYH7isZpRo+ag5PXkq13P+Z1KkvA2p7lJm6Jn0qc5/lyqq1wjBksUQ41PzlrQwxkhBi6dPHPqqPjl2HEuy10rE+uxsagzQV6YkqM2td0jlVaucXGaS8/gqw0va32lnUqPm7NQ5ubx6tVASWRp97vHf10cH9zNKiVharhItH833dj3OuVylViLaa85OnuZ9wYb/CUoWRqltJ1PDgBCb8/uri+73AP2m+3WjY86/A2idZx+zRqZOic21m8zB8WPa8Qs/UlYtvQ8pkhfw3IJjhSHPSXxVZBkj1AYQIr6yZIkTTQ4ZFwb2IFX2q2uW3s9XlrTy5SWLAYQI8lfxx7oMTjIzDhhjUBRUiDFPDUvj/J5y9871H5Oaam7KHzrzHaG+co26ask9SODlq5EkLwfV9BQ1zLxUU7ZCqK9ck3nmwD9CnpeU9pbbmWUb+cNnv8uFfbUAQPBavFUYIQ5gjCJJdEtNNRu40mCjduTsY8y0NL4s1CRUl6/gQr5Rks7N8NWRNj4SbJ5bDF/RhJQr8dcJVZFlcE69pN604t3yqtZ7+LC/jmTyM9Lihm36+f5ns788+EXPzg0fl1rqtxSOX/hJ+vG9n3NS2enL24M8FuaUUIwrCdT77tr2GSeRHnNmk4Pqxvb3QI4TIYKYryhtBdcgY6hWSFLT0qzBiWOJbz/5CZLV4kiRPPLy5lvlJY3b7dnEQObxFz/HV0WWhT503zeE2oqV1zue1wvkVkPMtAq5PZ1fYbZjiA1Va7UjZ7+nXxjc43v79s9CgVfmK0uiBSNNc4W4UF3WxpcGG42e4X0kmZ2AAi9zYX8dDngrsc9dbg6Md+rn+591b1n1QSRLHqG+ag24zuRCiDHPhXzV5uD4MXsyepHE02Oe3Rs/pW5sfw+SRDez7AIX8tVoxy78OPv0wS/4H9j511zQWwXQ1Z9zSBRUviqynCTSoxAjjq8oabVn4n3W+Mw57FHD6k3t7xYqSlr50mAjgAgjfoGTccYoSWbGi8cQXRAhTDQ9w5cE6jy7bvokXxVZlnuh8yvyipbb5WXNu6DAKxAhdKP7RwgBV2no5tZ3Y0V0Ozk9lTjQ+yMrnpv6Tffr5RCCrvKq923+nDGdHhICasSK5Sajz577OngTpmVCAGAsSqfdXujnOIjrGzh1coIMu1zQDQAAvAAFQphz9LC5t7Ia1z3wkPKhyQkyMjJE+ru77DOtS/kOWYZqSyvXBuaeXxgDLpmkseFhp9fvRyGvFwW8PlR44F3KByJluDJShqsEAYjNLdyySBmqGhrguiUJfk1REScIUGxo4lo7VvM3xWbptGUzCyOIpybJ6KkT1qG73y6/N5dj2Z4u+4zHi3wbt4i7btkh3fXs08aPAQD/BCAAvACE2Rky5XIjL88DAQBg+gMo+Mjvuv60dQnfHi5FZRNjZFhRoPqhj7r+uLfHOf8fX8t/HgAwzfOAN01mDA85fY1N/GLLAobHi/xnTlmdXh/yr9sgbovN0imM4bcJYTQUxqUPvVf9UCCIwqURXMEYAEuW8Ssrq3Bdd5d9RhDhNwNB5H/Hu5RHRAnKPd32WbcbettX8hu23iLevqLLXg8A+N3f2AVwLcwZLZvDI0eYaealhrpNiOdlyHMSWmCa5lt44wERFiHCAgQIoWtuQryF32ZQSmxFCjbVlN30qWRmcA8DjIqCK4LRb3aTvaQUl9U1cC2hEhxZ3i4g2wa2z4eCmAMcQhBGynF1+0p+PWOADfQ7F4cHnG7bZs6Ot8n3lpbiir17jCcmx53Rtg5hbUUlrh0eIr3dF6wzkozkpkXc0nAJLrtllyS63MjLcYCTVeQqjaDKm3dK7ZIEZV6A4uwMmejrds4lE+SaZaI3IMHDqJNJjVqC6CqMDu4XS8uXI0F0WYlo3//P3nsGyHGc16JV1dW5J8/OzM7O5oDNWGCxyARBBJIgKSbREqmcfJ9ly/aTJdvX9/lZV1cO99nPSY6yLdmyLCtYDArMFIlAggCR02IXu9icJqeezlX1fixAMYAUqCddUbo+PzfUVIfprjrfd86pnDv+FV/v0C/w/kDSrZSve4EEIYRa90ALp/kTxszEc2pb117qumbppef/yinkLoe37/4d/dLo98pX5FJX/wkghJXmth1iPLkWQoiwz18PMS/JDc2bIELfuNbCEvGCCjEW9bFzjwAAmD569kHYj3nq2PprpSlOPnNJae3cjTVfAkCI9PHz36aeawrhui7sDzTIja1bq2NnHwQA6Nc6LiQIGnXsKnVdg5OVkNY9cCfEvMQ8z3qlBwTiealuzzt6GSWuU8hf1rr777GW5o9Vzp74NwAh8vUN/UL+4JOfu0ruXDl8hARBC6zd8AEkiD5GicuHIu1IlANCNNYNfsIyiJ8mGKXEmZs/Lra2biW6ngWMMWdx6YyzuPRDTWH/dwaEEAbv2RVEkqCpmwbfLTQlhypPPP8X1tj0fr4h1uvfs+njSJVD6DoNiwFYNdf17d70S8z1LIgQdrOFaVozSzgabMGxcKvQVD9EqkaOFMoLOBHthNe7mQQAeNnitFeurkCMBSjwstCYGIh86K7P8U2JwdqhU1/20vnLYltqBAAGkCIFwGpXxg8neCy7yhzXYJQSWq1lkST65MGuW535lbPO1MIxiBEvNifXcQEt4aXzk9c73x98APUAA0zqa9+NFClQfvTgn+B4uF3u69ijDPfe5RXKi8VvPvk7zmL6gjTQsYdP1HWBVYnZ6wgeiCBUNw02IJ8SZZRS89zEEwAAIA903sIc1zROjX2vdvj0V6lhl3Es3CYP99zlLmfHK0+88OekVL1mfDC7Ik8S21Ij3L17PsvXR9dAHouRD9/1d0hTIsxxDCioitTTeiPE3N+8WWQvteyql85fZhAiJAqqsnbNSOCOG7fTqpGvHTv/LUCIp2zou4foRt4amz4gpOJ9OOCLe+WfjIwUIoTqfu09YaTIAd/ezb/izC6fLn/3wB+5y7lLylDXbepI/zuRJGhv1F3i5csL7lJ2jG9MDFgXLn+/8uThz9OaWcCRQBPfUNdDqkbemV44TmtmUexo2gwQQlDAsrK+506kSN+hxpvLdl81V0n0cSF/gz0+c1Ba07rDd/OWX5U6GjcDjEVqWEXn8vxL+vOn/tVN5y9La5q3Cc3Jdcz1LOa+uQk6lERf4LYbPs0IcSGCyF3JTxDdyGMAAJ+IdPKpeD8p6yuwXF3BkVAz5K+v6sYopWJ742VSqWUBggjyWJa6WvojH7nnMzgSaKoePPElr1BZuCp/Q4oUBKsSvrc3wRPVUv7Bphup45nUcg17pTwNEfzu28m/R0qGOkjVKrpFfQVCAIWYLyXG/c3g54zgsSxmNDRyLRhDLMtQBasrPRgOozqjxvT6JNc4NuqeoRSQrh48YNSY7tjA3rBRvGFqsjbe3IrP61VaGRziN1omM2QZHjJNZnZ24b5QGEV5HgqmQWv5PE2PbBJ2rFvPb1lZoQvHX7IPXbzgnd68VbhJkqFcqbBSRxfuW5gjUxgDvqazqiRBeWCI3/j8fvuJYpHm0ytksaML9+ZzNDM/Sy6HIyh25AX72acetx5au47fjPHq+t11gBONcnGfHwaLRZqDCCCMIXfzPmn3wjyZJh7w1vTgQcoADYZQ5MI596SiQm3f7dK7OAz/WlUg8PlRUBCgwAAAPA/EsVHvdN8AP+y6zEmnydLwRuGGx75rfgNj6N20R9zS3YPXptNk8dB++8npKW98+43izZ4LXMcBVlMT184LUFRUpB1/yT6USHCpC+fcE889Y3+vqZlr6+nn1/1074LrAuPjsW4h1bAOMMZwONTIR6Md1DR/LDKMnwQQ5iXJX9dJiWcrkeQQFtWIHEkOeVYtl588/q9OtTDNCXIQIoQZYxRxWPRso0gc62WDWAgh5EQl7E927Qk09tzmWbWcnpl5sZadO+rWyosAQhTp3PABQCmpLE08QxyzBBHHQ8QJ1HNqlLiWoAZTWrx1u+iv60Iclmy9OKMvT+63KtlxCCBSY82b5VD9oOiPtiPMy1Y5O6GvTB2s5eZPvOp4OF4EECKEeYXDoiaoQdssrlxAvKDCVwS9IA7zUjDWE2wevFcOJfrNwvLZ8sLFx61SepS4bx4hv3rMCGFO9GFODDDAqO1Ul98uPi8/C4AQQkkINAqCFpfFcAdlnpkvTTypSNGuSKB9ryyF2xDCImOM1szMaKF8+RnDyk8Q8vqwJEkMNEhCoFESA0HH09O54qVHZSncgTkpACGHFTmyRlNiIgAAOK6RdVz9f5nnWCLJpXbdLN0RqUPxuhhXjzHkS0WaD4ZRhOMgN7CW37h1h7g3luAaAgEU6h0gw4cP2k9JMnzhdz4TuAVhwJ05hY4AAGY7unDf4DphM+YdXlbQpRt2irckG7mWllbcxXEAOzawHIfZsgwVUYISY4AVCzS3cYu4c3ijsD0UcqKIg9+iP0Tu+rYjeBglRG3vvhhYv/kXiaHnnMzKBSjKAaWl86ba5MXHvWplSW5s2w4A+OZ1DwohhJiXIITIKxVnsS+QJDU9jWQ5pHX338VJsr986ugXiWm8rO274jNAAQDQTi+dlZtat7nFwgySlYhUnxrGPn8SXMO4FPK8jCQ5JCWbRgpHDvyFUBfvUbt67yi88Oz/81qCx1qcPeIf3PA+c376eTuzcmF13EBSaevagzV/vadXlqltX5PcAQAA7A80UNcxlOa2HbWpS0/bK4tntDX9dyJB9L2q6wciDnJYZJ5ne+XCHKuL91HTLGJ/sFFuattuZ5bP1ybHnnhlmg+jxAUIccQyS8Q0inykrtPJZceU1o5dcqplCxLEJ6jzwx+eP4tghLiQ4z4PDx3+W7baU8YAYOwtm+H+7wbMCUhZXUBAUVCt0cvPAco8340bPqqM9L9TaEuNAI84UBK06x0SQgiZaVVqxy485EwvHnfmls9AjEV1y9oHII+lVY+Xiad9N2/91cAdO34b8FiECMEr0ZRvCmY7NVKqLvN1oRaIOQFpSsRZSF9wl3PjYmfTVv++7b8BBV4BCHJIkUNXpGU/NAGM2a5BLUdnrmfzqXi/1N2205lZPAE84ghtqRF18+D9yrruO5Aqh96M3HhDUEYAYIAL+upxLNymDPfe5eVL8wAASE27Wnn8+T91l7Lj/n3bFgBjjI9HOuAbScwQ4pAqByFCHNGNfO2F0//Ghfwpqbd9tzU2fcCeXjwuNNUP4WiwiQsHGzm/Fq88+cKf2zOLJ99QF+wSGzDGkCT6zLOXHjfPXXqSr491o4AWtyfnjiBVCUm9bbuEZF0PX1/XDV4Rffu6c2k5uruUvSj1tO4M3L3r90illq4dPv01HA40qCP99wmtDcPucna88uThvzROjH47eO+e/y52Nm0BADzyls/rdeCKSbIGOcRDxPHm2YknOb8aU4a671A2Dbwbx8LtzLKrb5S6Rg2z7N+7+aC8ds0+LuRLqlsGHxBSiX5q27p55tJjzHKqXMjfIK/reYfU1bwdClgGECKpu/VGZX3PnRBzX2PeDzcphwghsau5h9muIXa33ihSRiDH8cwltj05f8Q4duEhL1ecEVsa1vtv2/5pIRXvBxzHk0J5AXjemxM8EEJSrWWNk6PfdqaXTjrzy2eQIoe0bUPvAwCA0kPP/nf70szzwXv3fFbbueFjgMfi9erIqWlVSEXPQB6LAHMC51Oj9tTCMWdu5awy2LVPuHvX70EeiwACiDQ5BCDiwE8pReO6wQDlg0qscnb+APZLESHqa4Do7TVvsT7YxhilamtskAHGOIlX4Y/q+/Q2hiBAybaAhRSgmCaoMQYoAwAUCzRHCaRtHbhn/7P2o9OT3tid98rvr09yjR1duDfVyLXKMpQdB0xlM3S5qQV3DAwJGwNBMxwIIuOOu+SBc2ecY4l63Hj2jPsShwC3dbu4N5uhK5EIipaX4/wAACAASURBVB0+ZD8DAACWzcw1PfzaaoWWdZ1WZmfIhGkwneMAvjzpXSyXaWFs1DvjEeZdnvBGh4aFLR1dfG8sziUX5r3pM6fdo9UKrQgiPCMIUPrnfwQAY8B7LnOJBz3LZAYhwGvrwD1d3XhA11klEIShr3/F+PsXnref7uvn19//fvWXlha82UQ9l2ps5FoLeZq1LWatLNOF/rVo5PkD5Mmvf9X4wtB6fvPmrcLuYAiFG1K4JRJF8ZrOKiObhBuLRZoLBrnwoefsJzgMsecBr6mF67Btaq0scQulEs0nG7jmdcMCYQywRx40/zWboSuj590TB/fbT/zJH/yUb4QfAshjWYjHe9xCYYZUqktE19NIFP0QY/F6O3n/1wNCta5pkxJNDfuSnbudanGmlps/IajBxsTATb+lp6ef52V/ghPlECOezSv+equUGecV/1dco7ICAACCFmqOdm36COJFn6CFmrGkRrGkRtVo40h2/MgX3FppgZf9SV7WYkpd04hnVjPEc3QsKOHq8sSznm0Uol2bPkpdW+dEOejZRl6NpNYLij+ZvnDwLxDHS/5Uz21qXeMIRC+/F6jor+vksDBKPMcEAABBDTb4kh0DiOMVOZxcK/oibZ5dy2FJjTLPNWuZ2aMAXEkFDsQ6Ih0jH+JlX9zRi3O87EvUD+35vwpTp7/BYeGRq2O+/mxBqCn1a1Pxka2qEutFEEs8L0fypcknI8GOScetZS27NOsRq3ytd5fAq3XhQPtujKXg1Z9ZdnGmWJk5QIhr/uBzEAr6m28QeX/S9Wp51zUytltZctxa9uq4EEKoyrG+mpkdBQAwUfCnGCOu49ayshhqUZVYn4DliOVUF8v63IueZ//EDOJ5LAc0NbFWEgJNjBHHsAqThpkd84hzTc9EBLG4pvX2z4eDHTdDAFG+NPmkIkXXhAKtOw0zd0k30udlKdKRjK37IIeGPmjZpdn5lSOfx5z4zx559f62Pjr0gWh4zR2EODXMSQFNjvUxQAkAjBLqWs3J7b/huLVc0Ne4eSlz6ssQov9xLTIOIY5XpEiHLIXbBV6LE+Iall2cqZnZUdd76xYjggCFDZvFbqPG9Hg9TH3/SesRjAFONuBm22a2IADptrvkB2IJLjkx7p7Xq7Tc0cX3GwbVL15wTzkOs/PLNGNbzAQAAF1n1fQymbdMZtbFUL0kQ4XHkB89756cnfIuJVNc82rRgepLC2TWH0Ch9SPC9lAUxTJpusRhgJXVAsWb3gdvO4IHAAC8SmkeMMak+tSwEI62Vy+ee9haWTjFXNc052de9PWvu1+MJc67hfxl6rmvWoxChBAfDLeI8eRaY3riWWKZZUYplVMt08So5aSGpo3UNItuMT9FTKPg61t3PyDEcUv56VeNg7GIMC9zihqhtlWpnD72LzgQaqLEs6T61AYhGu8B1yB4EC8oECHOnJt6nrmOLiUbN0CEMPNc67UPCbdYmDZmJvcrLR038aFIG+IFlVO1mFsqzlJnrCbGk4N8INTklouvi/JEPC9Fb7ptO+IFBTBGhWi8x16eP1EdO/ew3NKxE1D68saRea7p5DPjkFsrCLH6fk+vrjj5zCXIcbzc2LK1eu7EV6llvaoygQRRQ5iXsS/QoF+68B1raf4l7A82IVEKyKnmLZwkBwEAP5cEDwBXZDBvowX4zwIgj0WkyiHGAKPVVSkN8ql11LDKzPVsQIgLOMQjVQn9sLGY45qkXF1hhHrm+clnSg9//7MAIiQPdt6qrOu+3UvnL1efOfq3gEO8/+Ytn1CGe++GEEKIEAYc4gEA1yd9YoABACHAnOjMLJ2EAq/IA503uyv5CWti9rC2dei9fCLaiVQpCK8ztYcxxqK/+M4iRIjj62Pd1e8f/TuSL80BCKDU1byNr4922ZPzR+ShNbezH0WiRRm9KmWtPnfsn8xTF7+DVDnkv3X7b+gHjn+REeIG9m3/pNjSsB6AVT+TN9yssSsTppRCBDllpO+dfDzSASGAfCLa6d+7+RPWxen9tGYWtcHOW5llV6yxmUNvTkytPuaY5zl8fXSNtKZlBxfyJ6lpV5Ek+rigrx4AALiQv0HqatkGITz/Rpt/ajm6s5A+r25Z+wAX0OLG0XPf0HYMf5jzqVH78vzR2tGz36SmXWGmXbFzpUNUr+WVDX33cJpygOjGWzLjg5jDgL383b8mkCT6ocArjDJCqrUsF/QlmGVXSc0sAkIcQCmBwpWkrDeAeebS46tpVvVruaCvXt9//IvO7NIpWjOLUJGDYltqAIf9KS9XnLHGpg9IvW038fV13YE7bvxtUjVyEOPvM897w/sGQghxLNymrO95B/Krdfal2ReQKocAglzlqcOf9/LlechzotjeuEkZ7rkLUEYqTx/5a3XTwLuJbuSoaV8z8pNZtk4qtQyjlBjHLzxc/s7+P4Q8FpXh3rvl/o69zuzyaePYhQehLPr8t93waam/Yy+EEEIO8YC7TkJjtTuHAQggxFi0JmcPA54Tpe7WG525lbPmxen9vptGfhGH/A1IkUMQwbc9CUE96lGPugwAxsmCtiphfHvJfYWwVk8Mp+rUqvPE9gz/QGqHWzHzP+15/bixKkJlgOMgdixmEcJo1xqeEcKIKCGpXKIFUYSSrrPK5QlvNJ7gkksLZNY0qSHJUDVNam7aIn6vvRP3aBr09/bz6wkBnqJCLdWIWwlhXmaFLvECFIIhFAEAgEvj3nmfHwXqk6jJ70ehQBCFBtYKIxOXvAuUAGIYrKZp0K8oULVMZpw66bxYKdMSAADUJ7mjW7cLezkOckPrhS2xGJe8/S75UCSCns9l6WoHJVx94nIc4FwHOBwCXP8gvwEhgOpiqN5xgH3qpHPYMpkZiXITrsOcSJSLAQBg5xrcf/RFZ7/jMEtRoVYu0QKCADEG2Lkz7rHtN4q3ZNJ02XE8J1rHJTxCPF8ABYkHvPGL7tlwlIvVJ7lGSQJyLM4leR4Kx466hxYXyOzFC+7pSB2Kh0Io+snf9v3hqePO4WNHnQNLC2T2p3T5rx+EusbY+BNiqmE9jITbSFVPk1otBxHHAwAR+BFjuH+SgAhhACF0zeqKVcqMubXy4pUunTwjruVP9eyrZWePMlPPiP5oJyWeDTks+JNdeyHivgYh4iIdG/bKofpBWy9MF6fPfBPxol+ra9pkmNXTcjDW49ZK81d8Rj1B9acENdRcmj33EPNcixLPirQPvxcihK1KdowR4lmV3AQjjiH6Y2sAAIx6tg4AY6XZ84+4pp5W6xo3YVGNUM81pGC8FwBwghMkf7h16DaAOA4wSqVAbI1rlBcYJZ5rVJaxqLy8nuFlf0KLt2yz9cJ0eX70u5wgBYIta+8zcgunIIScWte0GUK4/1rri6CveXtTcusnMScFHVdfYYwRSl0jER14ADBAGaAeIa5ZKE8+xXHCl8hrCA6fWj/UnNz2qWxx7LvRUPcdEEDOsHKXakZ2FADw8p4NQU5IxUf+CyGOQYiju8QsKlKk/fL89z8DAJgBYHUJ1t64+z5JDDQxRj1JDDaXqrPPA8aYX2vYgLEUNKzCZEIMtlh2eT7oa/rHqrFymjFKJDHYFNQatyhydA3HCRqCnADgFQcPMzderMwcMszcRULdNyzcQAghj5VIyN+6s6f97vs1OdYDIRI8YpXK+vwRxqgXi/QeKFVmD7meWWDsBwVUCBEGAMLphf2fi4V77w36GreKgi9Zra2chRBxPrV+yKcmhyv60gmPmCVJCDQ2J7d9mjFKOIS/SOgPCkoMMJrOnfu64+qZ5uT2T0tisJkx6nnErrqumSvr80ccR08DRglCnADBqx1qOMRLfl9qY1vqpr2yFO4I+Vt2cEjQStW55wFY/Vo31W85mC9NPGlaxSnKri/RV1agmkxxLZEIiuVzNH34oP10SzvuamrBnbYNrFAYRRkDLL1CFvNZmhYlKMuKp+lVVmGMMcYAUxSoyQpUAQCAUUBtm9mSDOVUE26L1qFEJIri3/6W8a+lEs23tivdrgdcSgAZ2SzeOLSB38rzUFheILPxBNfguZwLf4iUHoC3K8FTLS8Zs1MH1bbO3elHH/xjt1ycFaKxbrdUmMbBcLMYjffGb7vvb2uTY08qze0vUNfRAaUUcljw9a5t9fWte7cYjfekH3/wExDCZxljzNMry3YuM8Zcx7Bz6TFrcfYI5DiBWlYZa76EGEv0Q457ESKEsS/Q4OsZ3IeDoRYnn52wlhdO+LoH7hGi8Z7a1PjTfDDcJje2bEWC8AJ1fvClhwhxgbUjQea6lp1duSDWp4aNmcn9AELEB8OtkMM8AODljRGxrapU3/hI9MabP2PMTO6njq0rzR03GrOTB3h/MBXctOPXIzfs+W9CpO5PnXx2AiKOQ4KgYZ8/GVi3eRfksFg+eeQfqeuaxKzl5MbWbZziiyFe0F4p0WKUUrV9zTlPr6x41cqSk105b+fSo7w/2Mhcx+DD0Q7s8ychQrNIEDQ+FG0PrB15DwAAWEtzx4hRy/n7ht4NAIDGzMT3/f3r3iPG6gcghEs/qrv3f+LnD5DHElSkILPsauWpw5+vvXj2a3w80qHtGP4IKesr5plLT8jrum9HihSEPBaY+8abVOYRN3jPrgwgxKOmXeHjkQ7f7k2/JHY2b/MyhctCe+MmeW337dS2qxBjEaqr3j+AQxi+FYIHAAAwJ8i97bv4m7f9mtie2miem3jKyxSm+GSsB6lyCDDGkCIHwVswh6a6UWCEuubJ0W+bZ8YfE1KxfmVD/z1IVcK1I+e+KTTXDwEAAPgRTJZfln8VagvW+cmnSbWW1W4a+UWvWF5ghHhyf+ctcl/7Lq9Qnqc1swgQwm/UUcII8aTu1gukVF3iQv6k3Nexx8sVZ0hJX2au59SeP/UVr1hdDN6z6zOcKoe8fHmOXknYeiNAgVcAhBBHg81iR9MWZ27ltHPgxJfcldwlLhJIia2pDZBDAo6FW4XWhmG4mop0zUoEI8RT1veMk2otx9eFW8Pvv+PzAHOCcezCg9bY9AHIY4lPRLuQpkRqR85+zThx8duB22/4TXmg8xakyI9T4/qqNZwqB9WtQ3czwypCDn3vjSq0UBZ9UOAVUqoulx559n/YE3MvCs31Q8r6nrusidnDzCOO0NowjFQ59EaVXq9QXqgdPfcffCreDwFEACFOaE1t4OORTmcpc4F5xDZPjz9KLUcXW5PDV32t+GSsJ/ze2/6s+vSRv+bjkSe8XGn2lWQUhBAinxqV+juG1C1rHxDbUiPmuYmnpe7WGwFjzM0UJplHHFKsLCK/Uid1tmwzz048qR86+WU+HmlXtwze72WLM6R8bekddT078sE7M4AyQk27yjcmBvw3b/lVoTEx6KbzE1Jf+25lY/991LQrUOAVJK+SXJDj+CvyxusmzCHPy/JQ9+1yT+uNfEOs1zg19igpVZeFxsQAEgUNMMbQlYS76x3zpwU3X11MP3rq7zlZ0LyKka+emz/EyI8nUvXHBU7mfXamMuMfbNzJKaKfOp7l5vXFn/a8ftywbWbnsnTFI8AzTFYDYFVSquusks3QZb8fBv1+GKSUsa5uPqNq0O8PoJAgQonnIQ8AAFOXvbFqlVVkGSh336d84PKEe9F1mbNumN/y+Pes/7AsZgSCMAwhA13d/EBdDNUXCzQ3P0umVpbp/PGXnIOeC9zZaW+CMcCyGbrC85zY0sp1nDnlHrVM9vKaMr1CF77+FePvdu6R7qhUaIlRQHftkd6xa4/0jmeftr6jauhRSoGXz9M0hADoOq0IIhTb2vEaUYKKpkFfPkfTjrP6PnQdZp874x7rG+CHG1JcSziCYhhDbJnMKJdoIb1MFlQN+jgEONtiVqVEi6km3BoKozqfHwbyOZjmOMB1rcH9fj8MHtxvPz43611eXoJzh593niEeILPT3qVKmZaSDdzf7btD/oVIFMUZA2x4RNi2fYd487EjzoFwhPv69XhI/DTACHEZpURIxPudlfQoDgUbpfbWGzhVjTpLy2cBfXt2ckOIOIRFHyfIQeJalerK5f1OrbQQ77/xk1Y5M+5U81PMcw2znB2vpqcORjtHPsSIZ/OyL45FNcIYJXIoMWDkF09BhLBTKy0ISqAB8aImh+oHIEJcZWH8Keq5NUY8n56dPcphQXH0woxnm0XXrKwACFHh8sl/VyKpdcXFsw+6RnkJAAisSm6SEWIDwED6/ME/467uURgh0a5NH60sXXpa0EJNAIATcjg56NlGjgHGAg3dt9Yy0y+4RmUZCXIAC0rYLmfHqevUEOaleN+O96uxli2eWc0Y2fnjtez8MUaJG2wevJdX/PXEsYpmaeU8uEZAgSJHu2tGdpQx4kGEBQ4JqsircQ6JGoQIr+TOfFWWwm2JuqH3l6sLRwEAx175/5gT/RwnaAJWoxAAaNqFyx6xKwywV7/zIYCYk4I8lsM1MzeuynXdmnLl3f8KIISlir503PH0bH106P1NiS2/XqzOHNSN9DmP2FW9tnImHGjf4/elNrY37flcsTy93/WMrN+X2swYJa5n5g0rP+G4tYyAlUgo0LZb4LVEIjr4nqXMyS9xiP8Koa+XRUGIkCrHehLRwQc4jlcRRJgyz7bsyhTxrLIsRdoNM3fJpySGNCU+mM6d/wZ4pXQXQsQAo65r5Ku15VMcJ2irXU/EsZ3KIgAAYCwFq/ryKcqIywV4BUKOT8aGP3KFeDl7dShC7GrQ33yDR+yKbqTPm1ZxCkAAZTHcCoAJK/rCS7ZTWRAFXz2Ery7u8FgKJOqG3lVft/Z9nmeVOE70MUY90y5N2051WZZCrZR5dizce0842HHzYvr4P3KIf+pa5+S1sG1mrSyReeIxT5KgLMtQkSWopJfJgiBCqVxieYhW4z4FEYoLc97U5QlvNLNCFitlVlxeInOCAMXWNrxG1dCFzdtEDwDIIlEuPjvtTWTSdEkQoKioULNMaDgOsKsVUuZ4yG+5Qdwry1B56UX7uVKJFva9Q75fkqGCflYJHmKZZSnR8A9iLNHv6xt6FycrYU5WwqXTL30JUEpyzz3+u76B9e8Jb9v1W24+ewnyvAwAA8SyK04ufdGcvXwQcliUm9puMOenXwAAWMTQs/bKwim5qX2HM3r6m3wo0mYtzL1UfOngX8ZuvuvPortu/wMnlxmDGEtIEDSnkJ+sjp75DzFWPxBYt/EjSlP7DjuzfM5amH3RyaUvhjbt+HVO0epCm3aMu4XcZXNu6hBEyEayEoGCqPn71z9gzE4e4DR/QozVDyBR8kOOEwEAr2KB7ZXF0+VzJ/4tuG7TR8352RedYn6Kk5Uw5HnZTi+eEesSfdFdt/9B7Oa7ZmO33qOsmkQ7BjH0jDEz+Zy2pv9uY/byAVKrpnEg1CSnmrcgUdQYfTUzaa8snaG2XQGMUWLWCkIo2q5PXHwMa/76wPrNH6u7+a4/IzU9gyTJDxhjbrEwXR07+5AQjXdLDc0bxWi8tzZ58bHq6JkHmec54W27fltqbNkaHN4yb6eXzlrLiycZ8d663OQ/8XMDyGORU6QAo9RjlluTBzpuVjevvd+eWTqp7z/2T+rmwfvlwa5bkSz6r8SNvim5AUVBBQhxyKdGA3fv/j15oGMv84hLLbtqT8y9aOYmZvlEpINPRLtozSgwvxqDCHEAcW/puYZk0e+/fcenASGelyvNIkUOcgEtjlQpcNVL5cqG/S0QPGaBWlaV6EZe27H+Q75dm36J86l1XqG8IDQl1kJBUFa7cN46wUMqeoaaVll/4fS/ednCFJ+s6+ECvoQ7v3KOWnYVAMD0I2e/bo/PHBKa64c4vxbnAr56AMDUtcbz0vnL7lLmIhR4WT908stIlvxIlUPO7NJpa3zmYOCOHb+No8FmBsCqDG810el1gBBCLuirD7/39h2QxxIp6SvFrz/xW9b49EEkSwF1Y/99XDiQssZnnie6UfDv3fIJIRUf4DQlAt6k1dSZWznrZQvTYmfzVncxc6HyxAt/7i6kL5BCeR5gLEEeS87Ji99hrmtSwyohVQmH7t/3x/LaNbcp63u+aY1NH7wSXU4BYFcbjF72WcPhQCp47+5f024Y/pCXL805i+lRAMDEteaCJNGPRF5hnucAQj1t69r3ymvX7Ku9dP5btaNnvxF5/zs+L7Qk1yNVCV+R9L2O4GEecYVk7EFlpP9eobl+XeDWbZ/0ynraXcpehBAiUq4u05pZRIoUFFpTG5As+rxscRryWOQT0c7QA/v+RN269j3OzNLJwG03TFPTriJZ9Ifec1uST0S7xLbUCPKrMWY5Vd/OkY9S06qa5yeftifnjni50qw60vdOLuRv0I+c+Zp14fL3Ob8a03Zu+BhS5JC7mBmlNesNfSagKGgAQYQjgVTovr2fE7uatzPHNWnNLNiTc0dISV/hk3XduC7URmtmCalyGHAIv1W5D+dXY8G7b/q/mUdsL1ec4XxqFBDqIlUKXunQA5ym/MQ7eCCCECLEMUoJo4xBDqFVeR5EjDEGKCPMo96bFTrcilkAAHz1JznP/z9AAhZbPr4nACtmzpwvjGFNCkEOcm7F+Lnr4JEkKHd04T5FhSrGgAcAAIgAuuJ9wJkmMCQZKgAAUC7T4twsmWxqBh2yDJWrBI9RY7W5GW+yb4BfH4uj5MwUvLS8RNKmAWqXxrxzlDKm+ZAjCFA8d9o9FqlDCcNg+sS4d84wWM2oUb1msKrrAEcUgQQhgOEIiqZX6NLKMlkg5AfPDEoZQwieyeWMdG8/v66nD6/zPOA5DrPe+W7lI+UyK54/4xxrbsGd9UnUmMvSNKWAOg5zUk1c2/ISmW9pxV1+PwwAACqCCKVIFMU0DforFVrkOIgRBCgW55LJBq756vmACCBKAZmaIuOaDwVECSqqijTP81yMIT532j3mD6JQtcLKU5PexZpBdaPGdNNgNcddfa8vLZI5fwB9sX+QH+7oxH2CAMWxUe/Mlu3ibkIBxRh+wfPY264TxsvlL1dfePHvhMbUsJCI95JaLW+Ojj1ODaPgrKRH37ZFTQg5CFc3ma5RWSrPjz5KiWeVZs4+5Et27nL00hwnyCEjN3+CeHa16ot2BJt67/BMPSsF6roco7TIAKOCL9xSmjn7EEQIQ8zLECIs+aOddiV7iQHAiGtVeDWQEhR/vWvVctXlywcYoxQLcoASz1LrmjZyohrxrGrmFefKAmC1CK5GG0e0RNsOShwDC3LIquQmOF7yI170Q4Q4X6JdYIwSXvYnHb0wk5s49i/EsarRro0fXiWMAKPUs0VfpE30Rds9U8/wsj9hlTMXiWvpvOw7FmodeheAPJJDobW87K8H1yB4PGKVOMT3FCoLzwV9jVtVOdoticFmDvGqYeXGPWKXbbu84Ffq18XCvfdACI+/8tpDiDAEkLOc0lw1vXzadY1cJNR1G6Hu6yRhrmcUqrXlk5QRR6+tnEEIS4S6r9oL8rwSRYgToQUQoU7Vo44OAACOW8u6npGri/TdS4itZ/KjD8lSqE1TE2sDWmpjvjTxhGWXZgFEHIIcHwm073E9s1iqzByg1LN5XolEgh03W6tky2OvnZssBpvbG3d/DkKIcqVLj9WM7Ggo0LpLFAIpHsshQl1TUxKDperMIZ9Sv17gtQTHCZ8iZFX6BgEAAlbrgv6WHRACCAHkGGNUFPwNmpIYQAhLxcrUc4jDUsTfua9mZC7Yjr4S8rfcGAl23ApeQfBQ6poCr8UBAKxaWz7FYyUS8DVuUeVod7k6f0SV67oDWmpTQEttyhRGH1qVbwGAEBZj4Z5bA1rDhmJl5iAhdkXg1bjtlBd4LIUYoJ5upM+Jgr+haqycx5zoq69b+z5KPQtC9Axjbx7UYJnMjCe4c23tcndDE9d6/weUj5dLrAgAAJoPBpYWvNlDz9mPd67B/YEACmOM+WKB5iJRFJsYdy9s2CS+tPsW6e54gmtoaMJtCAFUKtCcKEIpn6Ppuhir1/wocN8Dyscmxr0LgSAMcxzmlhft2WKeZEkQhXv7+WHTYoYoQakuxtW3tOEuSYZnLZNdU4IIwNuU4AEAADuzfK504vDf1+26/Q/tzPI5Sjyb1PQsI57NiOcAAGD1wqmvu5XSgr936F3m/PTzldEz3xLrEr3UsXVrYeaI1NiyBWJBAQBY1HEMX/fA9+Wmtu1a98A9pKZn9LHz30aurecPPf37TjY9qnX1vUPt6LnNWlk4yRxbr01cfMyan34hsuOWz7h6eQn7/PVK26opMqdoUaz64mI8uRbxgpo/+NRna1PjT2NViwHi2dRzTDFW3w85LDq5zBgOhJquFZ3LGKVIEB/FihYLjmz7ZXNh5nD55NEvirFEv5NNj1K/nUKi5KeuY3IYS7XLF5+wlhdOMI84gbUjH6S2VaauU9PW9N8tJRs3AAAYRJzw2gU1MfSsMTu5X2nu2IlVLVabnniWmLW8uTR3zFpeOEFdx/D3r3tAiMZ7jCu/089c+K7avubmwPqt/4enV5b5cLTD1zN4rxhPrkWyEhLrEn1qa9du5rlW+rEHfxn8nBky/iSAMBYgL6jUtquvJeF+1gExlpAiB6HAK769m3+ZVms5/flTX7GnFl7iQv4GoSW5DnAII0n0QZGXAQBvKKGBCKHIh+8OAw5h4HpW7fTpR/X9L/0DKVWXIcai0JocVkb634lEQTVOjX2PC/rq+XikAwAAryQ4XTeY5ejlR579ffPspSeo45pcwBfXblj/IbGzeRvgOMzAFUNX7vqJI2rZFYixqAz33uVlizP6geNfxNFgi9CcXFd56sW/4jQlErr/lv/JyFv34CFlPQ0YYEjAMmOAucu5sdK3nvpdRqinDPfexSy7arx0/kFlfc+dOBJqBhAisbNpC+TQkWt1lJCqkfUyxSmxo2mL1Nt2k7uUG/dyxVnAGPPfsu3/ZB5xSo8897ngPbt+j1PlkLK+504c8o+RSi0DGKOQxxLSlLA00Nnn27nho1JPhNW4IQAAIABJREFU202AMkrK1RVqWVWxo2mLf8+mXxa7224EjFIvU5yqfv/oF9ylzBifivUKbQ0bIEJzb5SGRArl+drhM//ON8R7abWWt0anniPFypLY3rjRt2fzrzizS6e8TOEyigQa1c2D93v50iyzHUPqbbtJ6u/Y40wtHDPPXXqSVI0cIMRlHnUBhJDzKVGhJble7GzehmTRR21Hx9FgszzYtQ9COHmthTxa7eCRoST6gvfs+oyXL82WHzv0/3rZ4ozQXD+E45EOACHkNDl8pePrmtUhN52frD5z5G9D99/6x0iVQ9WnD/9V7ci5b0CBV3A40CCuadmhrO9+BxcKNJhnxh8npeoSn4r3I1kMAAao2NKwXmiqXwsYYIBScqWTBVK9lqWOa0DHNahhlt2FzAX9+ZNfduaWzwjNyaHAbds/5S5mL1afevHzbjp/WWiuX+e/Zeuvy/0de0lJXzbPjD/2RtcBchwX+/X3hgGEHLUcXd9/7J8qjx36U1LWV6DIq2Jn81ZlpO+dAABgnLr4HaGcGMDR1fsPXNl4XC9ozSwUv/Hkf7UmZg8Dl9hcNNjk2zH8UbG9aTOAEDKwSrr+pDp4kMhLaltsKLS1Kykng+2l49NPivFAuW53306lPb4OCZyIJEFzi7V0+eT0U7xfPn6FyPmZAxKwhDUx5B9s2umVjAznk0LGdPYctb0fWtn8WYOmQT9EADo2cIJBFOY4iJqaOcd1mWPUmI2CKMzzUAAAAMdilixBRVWhJopQxqvpVMC2mTkzRS7dfqd8v+sCpy6OkjUdVU+fdI8U8jQDAAC2xaznD9pPKQrSaganb71B2EsJI5fGvHOMITa4Dm+8POFdzGTIUiiMoooCtfQyWbhaBb6KhhRu6h/k4/Oz3tTB5+zHjRrV9+6T7x0fc89CCFAshupVDflkGShGjenhCKpzHeZcOOee6FyD+3kBCv4ADL33g+on1g0LD2/bIXbGEyg1OeGNaj7oLxZpznaYbVrM9DzmFgssJ/BQgBBAxgBzbWZH61AcY4BVDfqrVVZ+fr/9pKxAtaGRa91xk7gPAMYmJ9go5iBeP4y3jl5wTwWDyOjown2SBC8fecF5dmmBzH3gI/jXclmycvgF+/uRKKq7QqT9xLxEflQQwyhCnv8HxPMyY4wBQhxGiPtm0t23AyCEiAHAiGNVsKhGKPEsRomHJfUJf6r7VsQLPuo6VQYYZZRSX33HEifIIc+sZng10OhaekZQAykpmOjxLD1Xmj3/sKMXZ6uLl56hnqPTK8m8xLGrrlFeQlhQiW0UXt4cI8QBwEAtN39cCTesA+y180Mo0Nizz5/s2utaemY1UcetcYIcEnzhVruan1rtQhIUOVQ/wPGi3ygsn6HeqkrCs1Y9eCDCAqPE5WVfgni27pl6hhPl8NX1NPWcWi0795IWa9kGIAQIXzva3nWNrKrU9QqCL6nXVs7Mrxz9G8etLstiuL0pufWT8Uj/u2pG5oLplOc0NT4oCv4kAOBVXY0QIg5CTqCUuJFQ1+2EODohzqutK67Ijn1acphSYmPEqwhi8bXeMQhyfNXMX5KlcIdh5SdFwdfAIUEN+Jq2gNXldaCqL56QxGCzYRUmCXGqrmfkbLuyaFqFKQARF/Q1b5PEYAvGUjAcaN9d0ReOOZ6RzRRGH46GOvdJYvCcZZfmX/GZuLlh+wOi6G8gxKlpSmJQEoPNrlvLLmdPfRkwRsLBjls8YpUhQDhbuPgIj+WwT0kMAQBe/MEhUs92KguyGGq1nPKcJARSHrHKC+ljX4AQIk1JDEYCTXsrteXTmBNU26kuWU55LuRv2YEQ/gtKV7v5s8Xx7+XLU8+0Nuz4byKvJSynslAoTz0LAUSOW0tn8hceItSzFtGJL65KxVbXaH41uV5TEoPp/LlvhvxtN7mekcec6AcAgCtdU2swViI1I3MhX5p4jEOCGg62700lNn68ZqbPAwB+aGhTNkOXn/ie+c1UE9fmOMAmhHmDQ8ImQYQi4iB39qRzpFqhpd5+fv1VonV+1rsMAABTk97Fji6vv6ERtwSCMBSOcHWu49rpFbLgOMx58ZD9zMKcN6VqyF8okGxHJ987NCxsdV3gPPeM/Z3N24TddTGu3qwx/exJ58iaXn7t4Dphc2aFLAEA5t9ozm9bgodRShHPPwwxL4W33vSbpFbNeNXyolsqzKod3bcQs5ZjnucIoWh75unvfMqcm35BSjVtcsuFOcAAU1o79wjhuk4kiX4AQAEAAIyZieeCG7b9Mier0exT3/kUAwwEhjZ+2JydOmgtL5zkw9FOpaP7Vmrb1eromW9R19ZDW2/6tNTQNGLOT7+AAkqTv3/9eyrnT/67nV48Q4xarnTq6Bcj23f/V8hhESKOx75A0qvpWWIYOSe7fMHOpEd9vYPvFOriPQCia7ZUUcc2kCh+GUlSQO3ouVWoi/dAjEUhVt+vj517hBHPwr5ASr947iFiGQWIOEHr7rlNaenYWZsafxrxoooDwcbqxbMPBoe3/BdO1eqQIPlfdT4ZY3Kq+eHA4MgH9fHz3y4de+FvpIamjVpHz77SicN/75aLc2pb1x7mOqZXLS9Vzh7/ihCr7wsOb/s4p2kxt5CbwJov4etd+wvlU0e/iARRMxfnjpJaNRPcsO3j4Brk1X/i9RDrkoNKY+u22uzkfgDAmZ/2fH6cgDwWkSIFkcDLQlP9UO2lc/+BI8EmZaTvXqmrZTtS5RCAEF2VubzpWAIvI1n0QQghteyqceLiI5BDvLx2zW3azg0flXvadjJKqTO1cExZ33MX35johy9LqN5ahY0R4jpzK2fcdGFSWdd9p3/f9k/SmlnUn33pC7gu1KJsGnjXW+3gYY5rQg5hL1ucMc9PPqNtWfuANNB5s3Vu4iku6Eso63vuAojDP0oHD63WsoAxKvV37sXPHfsHN52fghxy5IGuW/j6um790Mkv+3aOfEzZ0Hs3FHkVQIh8Nw5/hJp2RepuveguZS+Siv5yezzzPNe3c+SYunnw3TgSbLIn5g6TSi2rjvTda08vHi9/98D/RJKg+XYMf5ivj67RbtzwEZyIdrkL6XOMUMJpchgn6rqEhlivPbN4svTws58VUvEBZaTv3vD73vGXOOxPcUFfgnnEscZmDhrHzj9onp98iuhGNnz/vj8J3nXT70KBV/hE9DCp6BlmO7VXElGMUsppytfFjqbN6qaBd4Xvv/WPSbWWlQc6b4E8L9GaUdBuWP8hJEt+48Tow/bE3BHquEbg9ht+U9u+/gPK+p47lfU9d77+ulPPXcpcNM9eesI8P/kUjoXbQ79w8x+Knc1b9UOnvgwAeJ28C0qr9y6nyiGYivfZUwtHxdbUhsAdN/620JIcRqsG4hCpchjiN75fGCEeksVviF3N27Xt696vrO+9C8mSn6+v6xY7m7dCHktetjBtXZzaT3UjL3Y0bUGSqOkHT/wzDgUa+JbkOvPU2Pc4v1ontqU2EsMqGccvPGxdnHoOUEqEpvohdzk75swsn+LC/gbf3i2f4OORjtqx8w9CCKF/3/ZPUcuuQowFwACDGAvW2NQBe3rxxBvNGUqCBkVBhRBCqhv52rELD0EBS8qGvnt9O0c+JranNjGXWPbUwnFt69B7+GSsF3IIA3Y19+r6wRzXtGcWT5J8eV7Z2H+ff8/mX/EK5fnK04f/SkjF+5SR/vtWJVo/mQ4eKRFo6/79+x7FPjns1ewyH9aSQp0/xRzPro4vHUUSr8RuGfyIlAx1xvat/Vju2QtfFcLa55yC/jp5m1jnT4VvWHMfVsUgAIAVXpz4tjGVOSPGAy2hzR13IpGXvapZsJdLU/r48kte7doeSNqa+hH/QOMNEHOiVzFz5dOzz1pLxcuv/TvIISQlgu1aT3ITH1RibtHI1CZXTliLxQl6DYNuyCEMEETG5fQpa7E46V/btJPob9zF9bMM1Yf8jgNsjmOEwwBDBBAvQKFaWfW8ifJAYGw1lY0BwEyTGQvzZHpgLT/C49UOHs9jZGSTMHvurHs8HEF11QorRaJc7OKocZpeSUZzXeZ2dPGntt0g7M3nSFqSoHzL7dJ923awm0+dcA/bNrNjcZTMpMlSTaeVfI6mGxq51kyGLl9pvScQQvieDyh33HG3/J4Xn7efyWbocnMr7lpeIvOKCjVNQ/5q1S1jHgiUAup5wCMEEIQAd/Sw81xbB+6uT3JN83Nkqm+QH+7qxv2nT7pHdJ1VjBqrWhYzLk94oxCs+rrlszQdr+dS5qpEjAEAgEeAt7hAZhoauVZNgz7TYLXJCW90cIjfmMvSZUGAwp33Ku/L5Ujm7Cn3KGOAhcKoTtOQ/7N/FPj7g89Zj01d9sabW3FHJkOXFRX6VBX6LJOZjs1+aGDBTwvMdW1wHYEKby9AiBDHc7ygIm7VQxQAUCW2UWSE2HIw0VtduXzgqn0Dde0Kde0qABBiUQlTxyw7tcpiLbdwHAty0KkV512jugwYo1dJHIg4DmEsKeGGocri+FOv3NMwz7WIY5UBA8woLJ5EvKCAV7xDES+ovvr2nVIo0eelp0vVlcv7iW2Wwu3r7ucVfz3CokaJ56jRxmUIEeYVfwJxWISrRvqEuHaFUWJLgVg3o9RzauUFQQ02AkpchAVVi7dthwg9LWrheo6XAq5Vy0LEYcauLamrmdmx2aXDf1atLZ96ZRoTQviMX0ttFHi1rmZlx3LF8UeTsfUfVqRIJ3gFwcMY8xy3lnFcfUUU/EnHqS4xAAClrwspYB5xdMsuzRLqGgJWoooc6QCvSH+EEKGBrncrGEtBBDmeQV4WeC2eK45/bzFz8ku2XZ6Phtbc3t64+3OV2tIJBCFnu3ra1IsnAlrjplJ19lDQ33LjQvqlL1h2adqvpTY31W/5NU2JD6TzF75JqGswBlg40LYLQvivV4kRRY6ukcVQa83MjmFO8vvVhpFscfThueUjn7/qORQKtE51NO39o5qRuWC71WVKXVNTE4PglQQPoxRCxDuungYQIFWJ92eLY99dypz8FwAAwFjy9bXf8y8cEhTbqS4pcrSbQ4KGsRSUBH8KXOkud9xaFgAAOptvKQu8GvPMzAWB1+plKdKZK116zHIqi689v6KgxTqb9/0KAIDV1637IIJYoow4HCf6J+ee/h3LLv9/7L1nnFzHfSVa6ebbt+P05DyDiRhkgMhMIMEgUSJFipIsy5Is2+t9Dut12l17LVvvaZ0k27LXu15bkuWgYAVSgUHMIEACRI4DzGBy6unp6dx9c1Xth+4BARAkCIq0JT+e3+9+mb5Tt27qrjp1/ufMI0TEoN60uaPplt8z9MbNEGLBsrNToqDXRYJdewAAX3mjNwuAipoSAJCobgBjiEbP+2co5fRvvnBpt1eq2xXIpOlyOIL/ZefN0l0AAjA/a01pOgoU8iyXz7GMY3MbVJVMEEE4O0XHnnnSfvSyRca3JJ74sZ6UM8+zERG+6mWWxwID6x4O9K5+vzU7ecDLZaayh/b9udzQshFChJ1k4kygb/X9SnP7dqwFap3F+ROAc1a+OPz45ebB1LYLenf/X0R37fmd2G33/qEQCrcK4Wgn9zwTYiwEN2z9eXN85OnS2PnH5KbWLVpnz53UMjPJx771i8H1Wz5ZNUSFJBBsJLpRXzh74usQYxESQaWOlQcQYSQpQcEINcn1TevFSKxbitev5hwwwAEH8PUHo8xxSlhR/xdEWDAG130of/LI36dfePLTzPNMomk15YvnnyDBcKvS1LbNTS+NOEuJM256aURuaNkkxetW5468/NdCONJmTo3vI3qwgWh6HCKELl+NdZYWz2aP7P9LvXvg3rr7Hv6yXNe4FgAA7MW54/qqwfcqLR078ycPf9lZSpwNrtvyCbmx9abCuRNfgwgJwTWbPsZcu8g8z1LaOnf7pULCnBx9Vu/qu4t7nsX969cx/iRDjjesxlqg1s2kLnr5zFs2CUSiqEOMRazqNW9n/34cAAUiQVUOVgmT0zSTnxOaagekjubNzsTcEWdi7rCxZ+svrRjVXqct+fJ9cECtMe7e8WtyT/tuVrYyxReO/J3c33ErDhsNztjMQZovLarreu+tOCrcoIQaQgQlQdO2rflIcO/2X4WESH4qOwkwEqrpUxApcvB6fb4c3PNswAHnlPrK6u47meUUct96+nehQGR1fd975Z62nQBBBN5Cihaz7ALNFhakrpabxI6mzRCjabGtcYO2bc2HvYXU+cDuDZ/wEssjztjsK0J9rAeKgkLqa3ojD+/9Y2bZeXcueU6oi/2yt7h8KaLdHpnaT/PFJI4Em1mhvBy4ZdOnAITIT6RGhIaaPndi7nD+yQN/Frxn128CDpjYEO+Te9t3rVwT7npmaf/xr5jHz39PqI12mkfPfQcqok7T+VkHIaxvX/dR7nk2FImCQ4F6Ztp5by55rnz4zL8Ye7f/WviBPX9Ay2YWME6559uRD999qPDEgc/72cICAACwspUtPHHg8yQe6VDW9d7LPeqYR889gmRRFxpqep3x2Vesc+PPknCgnplWVt+x7qPKQOet7uT8Uev0yJN+Oj8T2LP1l6TW+rXUtHPuTOJU+eDpr7mT88eEhlivUBPptE5f/KF/86ZPiQ01vSQabALXIHhWFDzM9SxnfO4ws5yS1N2yTaiNdpuHz36TU+rpuzb8DHpVwfMG99EpiU21f0Jqwm3yqtYdYmv9GuvM2NOZf/rBr3qLy6OcMk+IRzq0rWs+TKLBZs44FxrifUiVgzSdm8URo5lm8jPLX3rk52mhvMTKVpaVrSyznRIA4BAOaDF108ADgdu2/AdWtjJeIjWib1/3UWxoNf5ybto6c/Epd3bxVPA9u3/bnU+eKzx96K+49/oJWkgUVChcSmODJGI0Gffu/i2po2kTzRUTpX3HviQPdN5GwoF6e3T6ZVoyM0p/560VwvUG30mEMBJFNXDbll/Qd2/8JGCMccspQowFSCqx60hVQlAQ5Btq902CGEo0f2L6WWt6+WzNHas/Ht3d91DpwsIrvuOVleZor1wf6nBTxdnCqZl9gqFEQ5s67+I+80hA/rRffHXMARGEoU0da+SGcJezmJuI7Op9iNpe2ZpJnwcI4siOngeQLKjM9kx7IXtRagh3IpF8hbmvVc8Ya1puVttrVlfGEgAiWdBIQPmKX7SyAACABCzITZGehoe2vCe6s/dBrEtBwAEoDs8fDAw0bvdLdsYYav5h+WLyOLXc0mV9JEggotpZu47aXlluCHeXRhKH34nr+m8NTYN6OISiyylaUUFCgAQChHUbxW0XzvmnFhbYjGWySyvwwRCMAABANsPSmLw6Xk4usvnxi/75xx71vprPs2y0BtWWy/wKNcrcjD9x/Ch8qb4Rt/i+79sWNudm/UkAAGhswq3Hj7gHMIYEAAAwBqS1jXRNT9KLGAMMAPA45/zOu5Xk5Lg/4jjcHlon3JRM0DlKub9ho7g9m2HL58/5J2UZKtEoiufzPOu63MEY4lKJFSNR9KWOTtK782ZpbySKapIJOhcIwODMNB33fe6dPO4dmhjzz2saDLR3kp5oDMdHLnhnOAMVG38AgCgCKVaD65IJOieKUGKMc01D5xEGuLYWNzIGWLnEihPj9IIRhGFZhmo2w1IAADA64p3N5Vh6YLWw3nWAUyrS/OAaYSP1gf+tb1hfdF1+w4sb7+INwDlj1Hc554wz38WCHAQAFCEmEnWtHOeMcka9lRrlyr6MEUWPY7OwQD27UEyMPceZ7wabeu+Krbrpk24pO8M5ozU9NwlOMTMJAH+Bc049u7REZC1GvVfTnDhnPiKiFuna8BHqWnk5VNcvh2qfB5yDivIGn6eeU/QdMyMogVpRDTZCPdIuyIE6zpiPBcmQApFWztiiHK4bwLJWgzlnUiDaIchaKtS6uptRz4KYyIx6lm8Vl8qp6UOSUdPNGXXrhm797VDb6vs59R3OmW9lFk5Rx0xTx7wmWe24xUUAwCLBki6JRj3GgoaRqKlyxEUIS5Ko1xEkB13fTHu+lZFEo/mqy00JkUOaUtNnWssjutG223by0xAifLk6h1dq8V2BKGHgV7x2BKJEAXjVQwUhoiCIZQSRQJlnESwZlp2dmF08/NeWnZkEAACMhO8qcrijNjr4UIG5poLCiiQajaa9PBIyWndlC5PPl8zFU5xzDiF6mnPqdLbs+SyESCBYMsrW0jlNifUhJCgAABNCCBvjG7drSrw/W5x8IW/PTMWj/Q8YWuPGnvZ7vjDQ9QBGiMjtjTfHREGPC4YalcVgk+VkJnzqFC5PxmTMM7OFyedDgdYdkmg0UOqWBUGNIogJ49T3fbsYj/b/U0VVtHCMYDkEAASKFGqXpOAlgmcFlHkWhAgLRKsRiBJizDMRIgq8Sp2PICYN8fX3yaLR4DPXlAQ97lO7ECItOy5OP/VbtpOfr/TPdxEiR0rW0rm2hp2/tZy7+CSlblES9LpYuOdeguXv+NS+ITUhvU5E+dXIZmgaAPBP19uPV4ikt6V09cea4AEAAOZ7DoTwgLOUOKO2dt2i9wy+D0CImGMXqG1lAWM0dvOdv6+0dO6ECBK/WFxAihotnj/9bWt6fB+1rzTZLE+MPE3N0pLW1Xc3p77LPc/WuvruDqze8BEAAISYSHJD80Y3kxotnD72j+b02D7ueaaTnD8Zu+WuzygtHTsCg5EPMdvOx/e890+hIKqAM8o9zwSAc16VMYrRmlWcMQoxFpGsBKtR22/4QFDLzGJZ+XO/mF8Irb/pZ6llZuz5mSNeLj3hF4sJvWfgPfbM1Eu0XFqq+A5BiPVALZKVoN7T/x61tetmzpgHRVHjlQH1FS8Dcx0TidIXnKXEGbWt+9aqoXRDZOstv44k2WC+ZxtDGz/KbDNrJ+aPp/c//RlnceEUxFh006mR6Pbbfluua1zDQeNaWiollaa2rVjVYvbi3Im3kgb0VoAVLSIYwSbfLKVoqbiIFS0ihKNdtFxKeoXs65Z5/CiACOPoTTffTQKhpvLU6DMAgLdM8JizE/utxOzhN0rBueLYmIgQIYJESUeiqFGzvEydG/si+tcCFIiCFClA0/m50ovH/l5d13svIFjM/+CFPywfPvstJImadtPqD0JJUKFA3nhi9moaFgAAAE6p604nTtJcaRFiJEBRUApPHPicPTJ1AApEinzk3j8DAADAqsPTG+o4RFASVZrKTuV/sO+P/HR+Fge0Grmv42ZSX9MDAOAAI4x19ZreM9cCd32LM0bpcm66+OKxLwPOGWCckmiwRd3Q/z5qWjmsq5FrRTxet22POtbp0SeknrYd+k1DD7NccSH4vlv/ezWpqmAeG/6u2BjvJ7WRzvKRc99WVnffScJGI/N8m/vUVYZW3Sk01PRBCMdXfqD95ey0dXb8mcDtW37R2Lv9V6Es6t7C0nmAkODNJE4xxzUB56zw5IHPm8cvfB+pckhd3/deoal2QO5t322dHn3Sm0ueDeze+An7/MQ+++L0S/bo9IHALZt+zrhr539mrmuygpkS6mKr/MX0xcDuDZ9Q1vbeI7Y3bACM+dbw+HNIk8NSe9MmAAAQGmp63emFE6DqXVIZtMBT+e8+//9GPnrvF3BAi0GMCImFWp3JhWPeXPIs9zyL2W6JFkpL9tjsIW3rmg97idQIM+08s+wCFAXFHps5VNp37IvmseHvMtspqBsG3h/YvemTpVdO/wstm1maLyXl3radJBpsAQCcu/raI1kKQIHIzvjcYevE+e+rmwY/wMpWJvO1J37dOjXyuNTRtFnbsvohpMjGtUpyr4Y3v3Q++7UnfyP88J1/LPe07STxSAeJBpuZ45bE1vp1ymD3HgABdMZmD/np/JyfKywgWQpgQ6sBCGF3LnkWh41GZbB7D4mH24vPHf4/SBQOiJ3NW8Ifuutj2saB+6Es6jRfSkJJUN2phePWqdEnnLGZQ1AS1eB7dv8XsSHen33k2d93pxZOvGFnMRIuU2py5vm2OzF32E9lJlaIl9yjz33GuTjzEtLVWPRj7/1LAAAAjNEbficRwlASVG9+6XzukWc/TbOFBA4ZDXJ/xy0kHukEjPmQIAFrSgRclljydgHiSiKNX3YK5bHkCakh3EXLTt5J5qeZ7ZUAB9wvWhkvZyZDmzvvcZcKM6HNnXfnj03+EEL45Mp7xRnnoY3tntZVu86ey4yULyaPkYAShQhiN1mYzh4e/0Hde9b/R9ctzHq5cjK4tvXW7MGL3wPVVcIVYEXUGj+yPSaEtDruUZs5nqW0RPuRSBQAQBYJWAxuaL8ztLH9Dmp7ZSeZn0J5QfOy5aQYN1po0c54eTMV2tixV2mN9WNF/KdLJA9C2M2Uku5ycY77zKOOX6a29+8yITO9zJYunPdOMQbYYoLOUQbo0hJLnDzmHVQ1qHsed0dH/LMAAOA6wB4+6x2fm6GTfQPC2myGXVI9LiXpwqGXnedaWkgHBwCcPe0dpVf5ydg2txGCx+bn/Kmdu+W9hZyfAZBDjCF++gn7O3NzdEpVoRaNodrtu6U7clmWRggghF9dCNz3nP3YxLh/oaOL9EII0LEj3gHf456qIO3pJ+1H5mb9qbp63HjujHdMkqE8O+WPe16FOMmk2TJC8KWzZ7xjg6vFDX0DZG1NLW5YTrHkKwed54sFnmOMc0mC1olj3str1oGbdB0aR19xX3QcbnMOeGKBzvzwMetbCAPs+5WAkHKZlRCCr8RqaJ0ekPamkjyBMMCFHM++eNx7fDFB5wUBLn3+j4r/pbOL9FIK6OS4PzI3S6cCBgodO+IeGD7jHf9XueH/PwIHnBFRCVHHynJGXSwqQQDAHAAQenYpJSIsQkREWFXdQAgRxETi1LcABJD5vu2Vs7NavG2r75hpRCRdNmq6S8vTrwAiqlhSQgBAwBn1OfUdOVjbZ+UWL/1Gcka9wvzIU81b7vu8W8rOEEmLqdHG9XYuOSwogdql4eyUnV++KKjBBjubamXFAAAgAElEQVS/NBLt2vBRK7t4znfKy3Iw3itqoaZ4/85fXh45+H/sbOKsqAabsCgHw+1rHrLzqRHOmE9dp6DXRXcjjCVGfUdUg/8cbBl4L5HUsBZv3cqZ75iZ+ZMQIoIwkUvJyQNuOf+6JSyaElvV1rjrpxU50gUA56adHkVQUAy9cZNlZydcv5wytIb1nHNGiGxcTmpwwHwIEKqoYxjNFiZf0JR4H4Kv9d7zqVuw7PQYY77teeWUKkc6LycrECISQlgAACGMRV2RI522k530/Fd90CjzbFHQ/laRI51BrXFzyVo6x3w7K4lGkywajYnUya9c6htnTBTU0xBAFAq0bEtlhh8N6k1bBKLGCBJ1AICJkKAocrSLYClgaE2bZDHUMpc88jfFcuKEJATqNbWmHyNJI0QOmdbyhXCw/dag0bKNWEqkbKbOrxBFld5BqCvxQV2ND/i+lUUQi4BzdnlKVaG0cLQxvvFT3KCe45UWOWceY54p4Fdj5lfAmG9XPHQKz3i+lRGIGiNYDkFwlbGyoERi4Z57IUSC71tpwDkNaPXr8qW5w4575X3nnLrZ/MTztdHBD0IAgU/tfLGcOBHQGzZoSqwXXGWi/e8BP/YEDwCVwT0AIAcAeASJ0tOCEWrEmlYDiahCjAU3nRopDp/6JnPsArXMjF/MzzPv2ooSiCD0zcxM7sT+/8l9wLGsRbCiRqomyCLnjNJSMenl0hPUtguv/h86tvjYt35BisZ7AcYCxFiEGIvMdUvc92xnKXGWuW4pc+DZP8wfP/i3nHEKYKVGs+JZYGaoaV63Rp/aVh4i9EV7cf54oHf1+5WW9u1Kc9tWrbv/XqLpNUIo0sZcp1Q4dfQrXi4zlX35hc+JsXgvCRj1ztLiWU6py33fcRJzxzmrTB4hQggKWOKUedynZQDADyDCT2JFDWNVi2FFjUBR1CBCAuDM58wpu5nlcb8aiQsAsCAm33JTi8PECDUDCBEilZVT5nsWLZdS1Cy9xsTsRwGW5IDS1L5daWzdSq3ysjk7ecBJJc5KNXUtRt+6D3Lfs3KnD/+91t6zRwxF2p3lxWE+Q/3g4IbdUqyuz07OnyR6oI5T6pnTYy+42eWLnDGGCBHFWG2/1tp9ixir7XPTqVEnlThrzU0eAABAo2/tQwAhwhy7ACBEzHVLSmNLCitaFAmCGugeuC+27bbezOEX/0Jt6dglhKLtEGMREVFx0skL5amLzzLXKSNR0uR4w5BUUzeIZTVsLy2cNmcn9kvxhlVqc8dOOzF7FADwMpZkQ25o3ay1dO7GihpxUomzVmL2iJ1cOEU0vTa0dst7pEi8B2AsYFkOudn0uFLf/KidnD9ZLWNUpHjjGq29+zZOqWvNTx+yF+eOc9+zpJq6QSEU68CKEgGUes5yctheWjj1TtSSQwihsqYnCBEiSJND2ra1H3IuTr9sHj33CC2ZaWWg63Zlbc/dOBioXylfeuMGK40CAABSlbCypududW3vPZAg0Tw1+oQ7MX8EIESk9qYN6ob+90udzVsA57zy/NMbklZDBBGSBM0cmzkoNtetVjf0v4+7nmWPTL5onbn4w/BDd3xWqIv1oIAWe7Nt8iqZwlzPXFFFQIGIyoaB94ntjRv4ShQ1u3GTSU6pLzbEH1XW9twj93fcQmKhFj9XWiw8sf/z7nTipL5rw8eFeKTDHps5hEMVhRPobN5SePKlP4eyqIcf2PMHKyqIS/CpWz5y5pva5sEPIEOLO2MzB7Nff/K3nPG5wwBwLvd13IxDRkNp//G/p7ligmbyc8VccUG/eeMnxZb6NTigxeTe9t3FF478nTMytZ8zRpWhVXcad277ZRIxGvNP7P+cUBvrJjWhNmlVy3Zty+qH3NnF09l/fvzXtK1rPgRFotB8aTHzz4/9J23jwPuVNT13w6sUMJxzDgl+NvftZ/576P23/Z66afAB7rhlbyF1nrme5c4snoEIIbGjcaOxd/t/Ym7F7BCHjHppVet26+SFx4rPHf7f/lJmEiCEpM7mLUJNuD3zjSd/m+YKC9qmwQdIxGiCkqgJdbEeSMgz3H/VOB5iTIJ37wwCCBGJhVrUTYMfsI6f/655ZvSHgAOub1/3UWVd73ugWCUw30T5UJW4Opb5xx/8UmD3xp9VNvTdF7zvlv/GPd9xJ+YOl/Yd/ZKXSF3gPvPEtvp1ytCqO4W62CpmOUXuuCX5rp2/jgJq1JtLnjWPnnsEB/Xa0Af2fEZd23svqY10Mtstm4fOfKN88ORXvcTyqJ/Jz0IIkdBcO2jcse2Xxcbagdx3n/uMefTcd67/vfDqgBQbWlxd13uvsrb3HuD7rnniwg+82eQZKBBJ7mnbpW4auF9srh0CnHPuU5dTdkNKNYgghqKg2ufGnxHbGjYoa3vu5qaTt8+MPmmfHXs68uG7PwdlUUcBNXoj7d5IF6TaYBs1nQKSBQ0RJJCwVhtqCHdiRQw4yfy0lysvhTZ23OXnykt22ckHDTkS2tRxV/741DPgsrRMv+Tk7PnMqJc3l6X6kAsxxABBxHzq6T31z8V29z3sFaxlKR5sk+JGq9oRXwMuI3gghFAfaFzrJHLjtGRnIYIYCliy57MXvVw5CQAAel/jTQ0P3fSbTiI3bk6kTjPTLWmr6jeKNYEm7voWCSoxscZopqZTqLll4CP2bOYChHAf55wDCICfN5fK48kTJKBEIASQezf2HfqTgosj3jnwWuJ2kRD4ac4Bo5Szv/xc5Y+myUwI4Xer488ryqltm9tEgK9YJi9lM2x5Kcmu6eFQlfUvg9dZucUYmo9/z/7GiaPey5wDnk6zZFWuf+k41f5e6rMgQHL2jHfUc7kHAACLCToPAPjDNzi+BQA4UN1eA8fhDsbwq4991/q6778m3e3k5ZPaq9pNAAC+fK02PY97AIDx6vZY9VzR5HjpgvNjXJr1kw4sykFZCw245fzciu8ZhBBhUQkBiDAAnANYSW/ijHrc9ywia1HmexbnjCFMzvp2eVkO1fbrte3bOGNUNuI9nFMvN3XmEQAAFBQ9Lodq+xj1HXhZoAXnnCNMDs8eevRXAg2rbtdiTZucUnYKC3LQKSyPM88pFeYuPIkwFqVAtNMppiecUmbKyS+PAgCgHK4bcEvZaYhF1cwsnGK+V5YC0U7Oqc98z0KCHNBiTRsRFhVYIVGAa+YTCJMvS0asi/lOWQzEuoKNvXuLi+MvlJKTB+z80gijr40HryRH1fR1NN/63yBExLQy49Fw1x0Ey0HOmZcrTO3zfCurK/F+STQaAQSwUJ4/dvl7QKlncsAowZLhM68UDrTuJEQOIURkcKX3HhewHApEBx/MFab3C0SNSWKwGYBX/eMQxCJjvl22ls7LLGQqUqiFMmoDfuXCiOeb6aX08CNBrWkzY9QuluePRIJdd3jUzrrulemmnm/nPN/MeL6ZxljSPd/K6mrtaoQrqmsEiQQAo9MLB/5ElsMd8Ujf+zEWA5Q6RQQFmXPu225uNiy3dWhqrLdkJs/kizMvOW5hHiGiXL44yTh1bTc/WzKXhiFESBT0uCjotRiL6kqpl++bmbK1fEFTot2eb2UFosYAAABhUbvWs8wB4JIYqFflaBdEWBCIElq575eedywZoqDX54rT+xDEEoSI+NTOO25+1qfOFQvhnHNu6A2zPnUKlLkmhIgw5tsEy4Yih9vBuwTPvz2Y65RApR7tLdWkqT0NW+o+tPN37ZnUcPJfXv6sm0mNXf+/Kj4QAICp6gYAqCz8c86ulp7/yNJmzhiDEB53U8lhSIgMESIAIrTyxQwY9allZTijKy/YAQgRej0ncDFutBobu+5yFnMTEKGnOGOsakiWAle5y6uddWvrP7r7M16mlEh+46XPrpxvNSHrVHUDK+zzO5EogCVZDw5t/jjRjXosKyExUtOFFT0GAQBuLj3OHCsvN7RsCg6s/xASZQNAAAHEGAAAxFC0nTlWQe/o3QswEpjjFCAhMpgYRRCiC2pLxzatfdXtSFJCSBA1ogfqBSPUQjQ9Xp66+Kzc0LIFIkw4o56XXR530ksjEAsyp9SDCIteITfjFXKznFGPmuYydewcluRgoHfNgyQYbnWWk8MQogmto2enHG9Yg/VALQAA6kZ/s5fPzghGuIXoRr0QirQhQTxp9A69V6qpH8KqFgEAIiFc0y3GavsgOv5VzjlTG9u3CaFwm5NaPOuXS0kxHOsMDm36GffF9O9BhAqBnqF7lcbWLRATCctyiGiBWkQExU7OnzT61z186UedAy5G46vc7PIYuEbpyY8MCCHS5CAAKz4lREWqHAq979bfRYZe6yfTY/5SetydTpwUm+L9N+LZpG1Z/ZC2eeABQIjkJ9Njcm/7bhI2Grz5pWEvlZ0qHTz1VaQpYXmg8zbuUffySfmb7DvCRqBO27rmYbGlfq11bPhRbyF1gXNGcdho4JT5AEKIFMm4fmMVcN93gO873Hu11AIpclDpbdtZ8ZihHuDgLRE8AADgLS6PZr/59O+EH7j990ks1Ga/fPKf/WR6LLB74ye1bWs/4s4kTrKSmTaPDj8SuHXzz5dePvnPpf3Hv6Lv3vgJAACABIuX6/t4JQr+pHn03CP67o2foJnCvJ/OzyJZ1OWBzlsrpVmcQ4xI4ZlD/xNCiPVdG37GuGPrL3HPt/2lzETxucP/21tcvog0JawOrdobvHfXbwGCJVooLWlb134YqXLIX8pM8Mp1cfKPvfjHJBJsEpprV7tTiROlF45+0U9lp7Sbhj7IPd+mJes1KT7cpx4k5Nt+Jj8bvGfXb8p97Tdzn7oQYwEKRIKiQEg42GQdG/6uM71wAimyEX7wjs+yspUuPn3or7xUZgqKgqwMdu0R6mKrnKn5Y9jQ41JH00ZaKKWYaWcBZT6URLWa0HQZwYMIVCUDggrB4SWWR0l9rCe6tuduKBDFW0id9+aXhnE4UI8EQYEQXjfGcuXaAwDOIVn6ndJLJ/5R3TT4AWWwa4/Y3rhRaK5b7Wfy80iRDUiw6Gfyc95C6gIO6rVSd8t2TqnrzSyetkemDtCiucwsp8Ad12SWnbeHJ18oHzn7bfPoue+wkplGqhyUu1q2KkOr9sqru/bQVHYq87XHf90emTrAvTenKFxB4JbNPwcggAAh4iVS55XBrttJLNzqzS8Nu4nUCDtw8p9wQKsRO5u3cNe3bphURgiTsNGo79rwcVITbjePnP22t5SZAJxzoTbWxTlnEEIE5UoU+zsB5nqWlzdTgqHE3Ex5UWmO9Cw9fupvyxcXj8kN4a7Irp4HvUw5ATjg3KOuvZAd11bVbcSqGABV379KQ5zJTdFeNV1OKE2RHms+O7YirrUTuQlzKnVGjAYa7dn0Bak+1GEMtdwMEfxhVaoNsC6HAgNNOxBGBElEcTPlhFwbbC9dWHiFU0axLCgtP3frwxACKET0Bq27boMY0xsLJ6efMydTp6WGcFdoQ/ud7lJ+mnvMnfvay/+f2hZbXTw7dwAA4EMAIJIEFStSQIzodcz1bSQJ1xx0/3vFNYgNAMAbj298j/vgR/TRq8r8x6rbm4LnXbuvb0M/rjl+fLvGeNVjvEvuvEOgjpVbOPHU70NMRE59d6V8ivmumTzz/B8DABDnzGOeUwIAALuwfHHm0CO/BBEizKso9lglwGYGEWGpnJo+VP2ehZxxynynDCCETiE9LgWiHcz3TLeUvUI9ySrzhENYkM4iIqpVEoAz37OYX0ldQkT8RtUfCHJGXU59u7Q0+RLCgsI585lnFzljFEI06hTTk9WmIYAImamZwwAA4LtW7rJjugCAYYSFcUQEBSIsMepZzHNLrzcnUqRQW3frnX9iO7mpTH782Xh08MFU+vyjHFAPY9mg1CnFQqvuKpTnj0KEBFkMtni+ecVcyad23vedgudbGQHLIco8U0JGA64QKJeVhXFuu/lZn9qFig+Pa1LmlgSiRECVyEeQSBwADiEmihRu86lTqsaAX1GFUSUpFmw3N2va6YvBQMt2STSasoXJ56+O++acsaGeh0uKHO3mnHk+dYqMU69KQFX8p7EcCgaatxp602ZZCrX61Mk31m76ecvOTvi+nTO0ho2uV1pM58aewlgMVKLdIUplR75/uRcO58y33cKsJAabDK1xo+uVlxHCEsEVtRAAAFDmmaaVuiCLRiNjvmPamYtBvXFLVVF0BRAiMgQQ6mrdEMFSAEEiC0SrgfDKeQOCWCRY0iFEYtleHpVooF5Xa1czRh3AXzu2Zow6hdL8YcvJTYmCHpdko8HzzGWBKJFrEdk/6fixJHhIUI0qLTUDACPBTeYmnUT2mvG+bwVYk4NOIjvu58pJrIoGAGDprbZ1DXLnbUP1QbOq25vpy+tK4MXaUJuxqeseP1tKlE5NPQfeIJ4a63LYTean/KKVQcprX7yr+veOQAzHurW2rlt8s5xyM6mLUrS2T65v3ujl0hP28uK58uToM2K0tleM1KwCCAvMsQvm5OgzAFYURYBzADEWc2eOfEWubVynd/btxbIazp06/KVAz9D9YjjaURwbfix/5ug/6p19e42+NQ/KtY3rnOWlC9z3bd/Op6llZcrj55/0rfIyEkRNaWzZAhDCbi49YU5dfI4zRoVAcDHQO3S/EIp2As6pX8jNEt2oZ46VF4LhVkZ9x0vMHbMXZ49BTCS/VFgQozXdK6y8FK9frXf13wtFSUsffPaP7IWZw9Ftt/9XKVbbpzS177Dmpl72zdISkkS9OHL6O9QyM6G1N/0skpQQ0QJ1jAiy3tl3F8SIOMtLFwBnTKqpW00tM+sVcrNIlHSIMCmOnv2enZg5glU9xjzXvN71f0uAAOKAVgNAJQpTam1YK7U2rOWcM/v8xAvlV05/HVBO5b6OmwHB4nUVPACAS146GGH7/NR++9z4s+7s4hkvsTzCiuXllc+poddwz7MA45SZ1usmc71u1wmRtG1rPgwlQXUn54+qW1Y/hFQ5iGRRR5oSFuqi3QACcCMePABAxCnzQNVEWaiNdmhbh+5xxmcPF184+kWxpW5N6P7bf39FZXejqBLO+8Sm2l807tj2K8aerf8PAACggFYDKPOsMxefZqadC9yy6VPK0Kq9xacO/iWAEFWTxsC1Mo2YaeXFlvr/JbTUrZb7O26JfeqBL3HbKYqdzZtxUK+DAPDyodNfJyGjUR7ouNW4c9uvuPNLw8VnDv21PTzxHNLVqL5j3U8rQ6v2Sp1Nm935peHSt5/57wACaNy149ekzuYtzKrUbvuZ/Kzc275b37b2p6zzE8/nv/fC//CX0mOkNtpFoqEW7vsOs+xrms1WCbyXSDT0H/XdGz6pb1/3U9GWujXOyNSL9vD4c87YzCFWtrKcMV/qbt1mj04fcKcXTtB8MQkJJspQzx3Kmu69SBI1bcvqB5lp552x2UNie8NGUhvtNo8NP2oePvut1/jRECxiTY1U8uCxoPR33AJAxy2cMVp++dRXSwdPfZVEgi3qxv73QQQxeJMEz6XrbztlAMBxiNGp0ovHviT3tO9SN/TdJ61q3Y4UOUjzxUUkibrYXDcEMcLWyZHHzJMXfuBOzh9jJXNZ6mnbpW0e/AB3fTv/+IHPORenX2IlM4MMPa7v2vBxZWjVXrGtYT0z7Vx5/4l/KB8+8y0/k5+7kT5eAgTQPjf+rHV+4gVvNnnGW1weYWUrt/JOspKV5j51AWUeM60bNuxFkqgFbtvyC1CWAs7YzEF9x/qPQUUykCzpKKDGcChQB3zfRaKgvKX+vwkwxze5Sx13uTSv9xlN1HRLmQMj37bmMhchgs8AwEF4a/d7c8cmnwr0NmwRDDVGAkpUqgu2g8sIHkiQADEk1lx6BKuiQU0nD6rkDS3a2cKpmedjtw9+TFtVvwkRLOir6jYIYa0OVAf/amt0QG2J9pVGEoeRS2w/by47CBJ7PnsRAAC0VfWbIITInE6fgwhita1mdfLxE39THl08yjlgXtHOaB3xtcH17XeULy4eJZocVFpr+qsKswp5LQsaCchhIajE/by1TDQp+E5d13fxLt7F24/qHOA145/LKiCu/Htlkfc1iygAAMAqnprXqoLgAIAfVrfXBa2QSKVrfVYleq6e13jgqkS16vzq6rnK686Hqkqd6xKICGLcXH/T+wy9caPnW+na6OCDy7mLT1p2ZpxgycgWpvaJghYPBVp3FMqJ47aTn62Lrf2pq8kFzyunKHNKihRud73yUqE0f1SWgi0CUaPgslQmzjl13GIiHGu7OV+aOyxwhQpYDityuANUlXkQYZFgKagpNf2uZy4rcriDMs+E1wjmqShTINSUmn7OqSsJeq3v29dctPU8M42RqAuCWgMRlgiWAgJRwiv9QkiQdbV2iDHfWs6O/oBgKUipWzLt9EVK3VLJWjpXSQZzCj618xVFkJ29er6JEVEiRvstihRup8wpIYxlBEUJQixedh14PNK36FOnmMqefzSot2zzqZ3D+LXzTFz1JHLc/GzRKy8hJKixUPfeFXLq1TaZ51ErByEWECQyZW7J862cJBpN1XaveO4hhKhsLQ1jJOoBtW5toTx/tGQunsZYCsCKourHOinvRvFjR/BAhFBgTes6fbB1F5SI6qWL8wCAP3u72icBOQo4Z37RysBK/fq/e9CSnfUyxQVadvLXi6sluhwGECBaMFNIvI5PyjsEHAg2MNct+YXcPC0XkzalLiKC4hVzc4ADwFynABHESNRCnDNanhx92ivlE0IgWA8RJgAhwS8VEuXJ0Wfl2sZlubZpHZZkQ65rXM85o8zzTL9UWGCuU1IaWqa9Qm4OK2oEiaLml4uLiAiKXyosOpnURQAAEIyQhoigcN+zqFlKeaXCIla0SGTjjp/lnDM3kxrFshqR4g1D9uLccSTKBgkEG4VAsCF77KW/dpaTF1bOLbBqkCNJMjj1HTEU7aC2mcGYCH4hN8d83w0OrB8hWqBWCAQbLYQw91yTOnYBCaJmJxdO+uXSkhiKtBEtEGeCqHLqO9R2M36pkKCWmfHN0pKbSY1Uz/8Zrb1nT2ho88fdlo5d5amLz/rFfAJcpkp42wARwrFQK2fMB5T5lxEXUGyuG4p8+J7PQwFLSFOjNF9McNd7Y6KJMgqqaQ+AMUaioRZ1fd99ytqee67eFSlyUGiM93Pfd/1UdvI1bV0PGBESCTZ5yfRFHDIaSG2sG4mCCmVRr5jqihpg1IfCVWVNbwBIsAhFQRUa4/1iS/2EUBdrYKado7niIlIkg1SIFv5WFTwrcOeSw1hTfrN86PTX1c2DD8irWneiirnu/UiWAiQabAYYk+B9N/9XebBrj9TWsA4AALjjmddKNvLmkmfTX3zk57Qtqz8oD3bdLtRGOpEkaivGrsY9u37DuHPbr0BJVKEk6lhXo4HdGz8ZvHvnf0aaGgGcMT+Vncx+59lP22cuPkUL5SUAOPeSmfHQ/bd9WlndfQcUBIW7rinUx1ZBQiSxqXZ15KPv+QsAOEeKZAiNtQM0V1wE/usb/gIAgJ/OzSFJ/BPrxIXva1uGPigPdu1RhnruAoxSbyk74c0tnvGWMhPO2MxBVrZyUk/7TmlVyzZt8+oHsaHFkSwFAMECK1s5HA210HxxMf/9F/5H+ZWz32SF0tLVJDYUiIwjRhOn1AOU+fxV+TRUBrv2yL1tu6AkakhTwu504uSNliWtoJogNgYRmjRPnP++2FQ7oG7of5/c276b1EY7kSqHaCY/xyw7jw29Vt00+IDc33Er1tVI8bnDf2NfmHwREiwoq7v3yn0du8W2hvVQIDLNFReLzxz6a/PY8KN+Jj97o6odQKl36XnlgJN4pFPT1Ajf0H/flTtCiDUlLDTW9HPXs/zl3I17lhEs4Uiw2U9mxkhNuB1JogZFQYWypCNFMqBA5IqaC7/pd/JG4RftnDWbvqCtqtvIOWMICVgIabUAgIuccS7FjR9o3fUbmO2bbqa8CAUiA4IEMWY0AQAupZEhAUvM9spCUK2R60OdpZHE4ZVnh3POpbjxbOy2gY/aidw4lgVNaYn2a1216wAACYgRbv7pnXuZS21qugVnqTAtxY3WwpnZfZxzjggmdfdv2mIMNe8unpt7iZpO3k0X56XaUJvSHO3BqmhAQiS1LTYghNSa4Pr2O4ihxISgWkN0OQQASAIEEdHlkNwY7rZm0hfEiFeHdTn8Tl3Xd/Eu3sW7+LcChIgYetNmy8lM6Gp8IJU5/z3ft7Iho3XH7OIrf+VTp6TI4RjGoh4Ndt4uS6F2UdDiqhztQggTVo1jd7zSouuVkoz5NqVOCUAAKXVLYaP9FgTRMKuWMHHOWDjYPkOZbxEsBRinfslKnlGkcOulTnHOPN9ctp38TDDQtIVzzgiWDQhfm8SJIJEQwqLrFRcxlgKcM59eVY60Asq8MoQQlc3UsKbW9AMAEcEVgodSt1QsL5zAWNDzxbmDoqDWIDkieb6VSWdHH7fdwjXLTiteQa+q/TgAnGA5KEvhdtsrzGMkqJ5vLge0+rWVMrBX4XrmMufMl0SjUVNiPRUPoNmDV6tnGKMOQkQWBD2uKrEeUdBrBaJEREGLAwAuLUp5vpU17fQoAIxyzlyf+rZlZ8ZCgZbtht64CUL07KUEOIhQJNhRS4gSkcVgc7Yw+QJCWIoGu/cuLp/8R34dj9yfRPz4ETwClrCuhOXW2IA9lx4RQlocYoQ4fXvMc6FARIgRgRBCdAMTth83QAghUsUAJFgEjDOpIdKJJKK6S/lpdyk/vSLvBgAAc3zxJCT4PwAAAL9GTOoVIFiEAhY5r6QivcOncU3QUiHhlwoJJCtBkIfQy6Unue9bbmZ5DADO5IbWLUhSDGcpcVaua1ynNrVtEwLBZwAAEAmiXinZghgJgiyGa6hXyM4gQVABox53naKbS08qjW3btNaunBSra6NWeZlT6gLOGRJFvVJ69eqqM/c9CxIiQYRJtWwsKEZqOqSaukEnvXTBTsweVRpbb4IQICRJAUMZ71QAACAASURBVGqbGVRR7CwKwUi7GIpmsKJG3ezymNrSyaltZThj1C8WppljrwEIC1pH751qc/sZub4l7uWz05AQCUKIoCCowKcOwETgvme7y4vDSBQ1JMmGm10ep5aZgQSLSBBUr5Cf8/KZSa+Qm6O2mYMIP+5mUqNyXfMGpaltW6B36AEsqxEAwDff9pvGGDWPnf8uzZeS3PUsQKnLeYUxBxgTWFHtCAAh5Kdzs95C6sIbNmc7RS+xPML6nFu4R23u+y4z7RzNl5LMtHK8YljcLNTFVuFQoA4w5tNiedkemdr/lrpv2QVnfPYwdz0LqXIQaWqEhI0GEA02Y4EogANeTSd6U/Az+Vl3auG4vmP9x/RdGz6BNCWEZMkAgHPu+RaznKI9MrnfmZw7+lb6ezlo2coDAJ6HCO3D0WCz1Na4XmytXyc0xPu57RZJTbgd6WpMXdtzNwAAcM93aLG8fC0VXlUZNAwA+D0c0L4gNNT0CnWxHhKPtJNoqJVEg804EmyCAELAORMaavpILNzqLaUnrDOjP7TOjj3tXJjcT8uvUVKdJtHQLxt3bvsVbeuaD5Ow0bDygdhcN/iac6LMY8711WbVfY5DhE6SfUe/KHU13yS21K8VW+qG1PX990FFMpByKbWNc893uO0Waa6YcHMLx2musOAlM+Pu9MIJ5+LMQVp6fZ80bjnF0r5jX7IvTO7jrm8BSv1KnBFEACMREixChDFAEHtzi2dYsfwj+ZJVSdIUAOAFiOA+HA21yKvadsg9bTul7pZt+va1P7WSIsU55zSdnxHqYt3K6u49YnvjRhzU62iuuGifG3vaPDnyuD088Rwtlq+5YvtmwEw76yfTF1lr/bqqx5RDy1aWFYpJato5CCAksVArqYutQkGtlvvM9TP5WWds5uD1W7/G8Upm2hmfOcQp85Eqh5CuRkjYaKy+kzLnnDHHfcfMgCFBJLi+bQ/R5ZA1tXxOaYn1XZ4G5uXNlJPMT8du6f+QOZU6y2yv7CRyE9USrcsaqpQzy43hbihgkVpu8XJvBWepMNv80R37a+4c+nju2ORTzlJhxljdshvLwgtyQ7hZrAm0WDPpYaxLYYghQSKRnWRhGgAAkCxoYk2gyU0V57AqBbAmBRe+efhPvGw5GRho2k50OeSX7CzgnIkxvVHvbbhJihst3GcersS2JyGCmFNGAQeclp2cyzhVO+JrEMHkWrHq7+JdvIt38ZMKDjj3qZ2HACGfOiUOOGuo3fip5ezI93y/EmCCIJEgQMj1zLTnW1nft7O6WjtEsBQEVdUTY77b2rD9mCJHOlQltsrzrDQhSrg+vu5j+eLsywCAS2M7zqgnCXotwZKBkKhiLAVkKdy+8jnj1OWceh41M8Vy4qSu1q1W5UgXQq+dg2Es6ggJSkVZ45Upc8scXHuh0PPNtOXkpiTRaCJYDmIkqKiqqmGc+obe+BIhSphzRhnz7Wx+cl99zdqfElqUcG104LFcceYl1yslq8lcWFViq5pqt+yRxMA3HbeYAKCSJuZ4paTjFRcErIRtJzetyNFuCLEI0ZUEFQeMyZLRDCCAjldaVKhbxlgOVr11Li04uV4pCQDglp0ecyAWJTHYFAw03SSJgforz8/KZHLjzzTXbflFACBy3dKi4xbmIMJiV8uez84nj/xNMNB8GgDO62vWDcYj/fd7vpnO5MZ+iLCgVvyGiGi7hbk3qoL5ScXbRvBAjLAQDTQGN3ffq/U1bvWz5WTp3MyL5QsLh/y8ucwZY0gS5MBQ6y36mrbbiKHG3ER23F0uzNrTqbPWdOocJEiI37fpF7XBlp2IYFHtrt/gpYpz0TvWfrL2ga3B5LcP/inW5aA+2LJLjAdbldaaQQAAcBayY+UL84fKI/Ov8MtihyGCEIpEBowzYqgxwDnTV7eWrMml01iTQ5C8Kh+DCCGpLtQR2Nh5V2BN263MdArF09PPl87OvOgu5aerq6rgeufAHO9NlVRdDbkx0hW5behjQjTQ6KWLC6nvH/1LL1tKkoASjj9w02946eI8LVqZ7P7z/wIRwpHbV38ovGvgQ5xx6ufLS362nFTaa4cABLB4evoFYqh/5xfMNEQQar1NW+se3nEnkgUNScLvXt5HJAkKYJxiQ4lCCJG6qsGxJpZOYlU00GUKJ4gQEmsCzfra9tuDm7ruZq5vl8/N7i+emnrOXcxNsup1hwQTvb9ph7Gx6y4hrNU5ydyklyrM2rPp89Zk8vTl8ayvBzeTGrXmpw6J0XiPGI51UdvKMdfKM9+zkSDIcl3jOloupuzk/Anm2gUsqxG9q//e0sTIDzln1Mvn5sRwtCO2487fgwgRv1xcZC6R7OTCSc4B1zv77sKqFjP61j5EbTPLGfOdpYVTXiE3BzGRhFC4zS/m5lf6Q20r62bT4wAirLZ23YwlOZg/c/QfvHx2mvueFRra9DHq2AWIsSjXNW1wlpculCZHnoIIEaIFagN9ax7k1HcAQhgrWg3RjXokiCNmKnFGqm0YkhU1orV13yoY4RaIsUjN8rI1O3GA+Z4NOKcccACq5YBQEBTmOiUkiLpfKiTM6bEXpHjDENECdUiUA365uIQEQZWicS+2Y8+HvVxmEomSjhU16pcKiauNa98urJQMVbcfvT3Pd3Ao8Kflg6e+Dhj3me0Ume2UuOOZ3PcdwAFDshhAmhKGkqhBgkXuU89bXB59s8dgjlt2KvHgi+7k/FFvLnmOOW6ZRIKNJB7p5I5bpiUzg1TJ4B513LHZQ2+2bW9+aTj95Ud/HulqrDLxRwRU5uEMMEa5T11mWjmaKy2+pQt0DVTvwTQAYBoS/H2kyEGkyiGkKiEcDjQItdEuoaGmF8pSgGYL89drr0oGvAQAeAlijKEk6kgRA0iWdEiIBBAkACEMGPOZaedpvrjI7NefcPvp3BxS5D8o7T/+D0h61VgPVspuojRbWFiJjWeeZ/mL6Td9L6vnPgoAGIWi8A2sq7HqcyFBgkWAMQGAA8A45T51ueuZ3HHLzHHLFU+k65fKVU2bv/Nm+/R2okrYT4syStLhC08VZC2MgoFaoal2UGyqHcTBQB3SlLDU07YTUOo7YzOHnJGpA/bI1IteMjPOLbvwo5bVMse1SDT0u4WnD/4V96nHbafIbLfEXdfkHnUABADJkoE0JQQlQYOYiNzzLC+RetN+ecy0cvaFqf3e3NKwMzl3xFtIXeC+75BosIXEo5V3smguI1UyWNFMu1ML71gaDy3a2fT+kW9p3XUblKbwKiQLmhgNXCImmePb4Zu6TkR2rLqfGHKUe9QmhlpTLf0Gl+1nuZlyonBy+jkkEJmaVxI8AACQeWn026FNHXuRgCUsC2pgTcvN8vORr4U2ddxVHk0c8UtOLjDQuE1uivQsPnrsC7RckeRDgkRme2bmpdHvBFY37woMNG1reHDLb5rjyRN+yc5wxqhcF+wAnDNzMnXGns+MAgAhVkXDz1/ylIBYk4J+2cmJNYFmd7k0L4TUOAnIEfAjlLCvAEmCcvlYCwBQWdZ2PItT9i6B9CaAFUkn0UAjfB3jdj9vLtGCmX4z7zgSiXSNFEvOHM+87gLgu/hXB0QICTVGC5KuXSLOXN/yUvmZN/Mb9i4qfjG5wsxLQb1pc9lcOkqpVyZYCgT1pi2hQMsZQVCjTXWbb4cIifb/Ze89g+y47jPvkzp33xwnB8wMMkACBMBMMUsUJVqS5ZVXlm057NorS7a1a5ddu1vvhnfXVbbrrVqvLQfJWq8tWZYlmZZFMZMCRYIEASIDgzQzmDz3zs23c5/wfrgDEgSHJEiAIkXhV9Uf5k5P39N9w5x+zv//PEFjJm727OCiU01s6oXNsmQcZSy0GY/8Znt2Tza17oG2s3hAleM9ftCYpsxvDvbc9p+yybG/dLzKSYwlPWZ2r6s2zz4OEVEYD9pB2F5Y8eBZGRMNFDnek02uvb/tLB4Kwta8ZeS3ILRKl4kQ3PWWTwaRvShLRp5z6q1W6QMAAFzwyNKL14RRe5GyoAUAEBC9cg/guKVj6cSau12/coqxoG3qhc2Mh44sGdmews5f785v/2XKgva64Y/WitmtL3h+bcLUcxtadnIfWGkhhhBihIhqO0tHdC0zmkqsuVsIzi5uaTsPY6HdbM8+b+mFzZR5dUKUGIJYARcIPG136XCGevd5fn1SV1NrGA8dBLGcig/fmUuvlxkLWrXm1NMraWEPd6qmsMwFC1Y8gMoS0dO9hes/H0Z2KaTOMqV+M6TtJdspHSFETbp+7awiW10IEa3Znrts79z3IldM4DHW9dwQ3zlyv5yJ9ci5+ACUiBK3xh7Qx7p31h47/FUAwFlzQ+8tyQ9s+nQwWxkPvbCN41omfe3gXUAAMf/Vp37Xn1k+gTTZAlxw7kcuNpQ4lLEqpcwikokOAABKV2o0ccPYx6SEkScpswgoj5gbtrL3b/t34XJzGgAwCwAAiGBJX1PcgjTZknPxfmNdz/WgExyOAIQACMHhqfm9AHS+QI213btyH9/1H7ChxOVsvNc+Ov1M4vqxB2Lbhz9YffTQVyBGTwrG2ZudAwDgkm8CL4TE9ZyUjfWtTPwEJJ0PLJSwonalRgHlkTaY31L/4fg3VyJcUVBqTGkDuY2s5VaQJpvuZOkwkolibuy7hdl+HUnk/wAAKVSIJiLqI1NN4I4RrgcxwtpAdpOxtjsppcyisb73JkSwJLjgEEMMAITeueVjnesDoTaU35L/xA2/S2JaWulKjbSPTP/AumbobuuawbtqTx37O0jwvwjKqL6msC1999bPBkv1yWCxPoF1JWbevunnIEKo9M3n/icA4OE3uxYs8G0kK4/KjdqUksqO8ihyhWA0rJVPK6ncqDc3tQdJiuFMnXqcB/0tfWDkdkGpjwhRiWHliRkrAsYiSIjKgqCFJNlwZyefpXZrkTrtUlSvnFELPdsgJkrYqE4yz61FjeoUIpKKJFnHqpZEivqyB4HgnGNN/6beO3SLFEv00HZzIbJbS1qx5++VXNdm5rm1qFk/F1aXT2PdSBPTKnjz03sB5xFACCu54mZixIpRsz6DFS0RNapTUbM+zQK/jST5b/yluYNKOr9W0MiPWvVp6rTLUasxK8WSvVG7Oc8rpfGwWj4pGAtpqznHw9Cm7eaC4JwhIj0TtRszSrawUXDOAOdRUC2dBJwzwWig9w3domQK68N65aw3N/Wcc+7Mk6tdczmmpogmGX7VWeT0rU+65ZiaSm3I72xP18e9sj2nZowi9SInagX1t3tjyRrtEgCgBAAAiCASX5PZQgw5Vju6uIeFLAKd/tq37O9xHu54DUjwfwQQwvNRzkIIAdGKoTmEaKUarNN5fonR9gC8LDgsgAt6sX+UrEzUqysbgBAe8ND5c4IQXCCEX9LxGGOgY859WQbd3PPbAICjFz8OEYQXVh1eDiKMAgDAmwpYPy4gBGG6IPX0j6mbb/1oshD43J06YR+eO119Njg9/Rzo+P2s5M69bH7fERKv8KSfVhtz4IIS6VWogQsNht8irGmXISFfABC84WcSQtix+1nxuHqnUIqJIa0vvRYRpPCQ+kiVXuUXENWdpbBqL4Tl9oyctXq13tRY+/jcq9KKBOeMxNS0MVa8DhIk8Yj6F7dHhjV70V9qTkEEUVi1F82M1VP8+I7fllNGMVhuzQTl1sxKlU7cPrmwV7wcOw+Bko/1x6/pv1PJxfuZH9qxzb23mKOFbcyPHMA79qjU9us8pD5r+7Wwai9Unzn1j9QOOt+dAnDABWsfm3s2qrbnqR004C1jP03iWhZcpsBDkmY+87Eb/62Utnpe9QvGI/f0/ItIkf7h7S6K/aQAEUSxXWvv7v7c/V9eRZgBAABR/f6+Py1/Y/d/AQC8YUUbNrVE+v6d/0Yupta8+giCe5NLB7GufJ25wareZ1d5d8CWmur94se/rg7mt672+2CucmL2D7/1r8BbMOq+HBDEclwtbAMAooa/8PyVrnzASNIUbORD5pYpv/KekUJwHjO7jjIWubqWHq3UTz1UrvLIMorXDPXe/l8koqcq9ZPfmy/t+/N0YuSDqpLsr9RP/guCWBnovuV3Pb821bRnX4AQ/R3B8rjtlg7LkpF1vOVTEfWqzI3cRKzvpv7um3+HsaAdRk6ZCxZCAFG5evzbmpYeIViJI0hkhIjMOQ05ZwHnkddyFg5AgLAk6VmEZF1aaad61fiB4GHkVqLIWVblWC+ESMZo9SQqIARHmGiIETUMW1U/bM2jC8QgxmmQT288U8hs/lSjPf0cxkqMschpO4uHVCXeG0Z2GQAg2s7SYS+oT8nEyEbUrV0YIIEgURDEsqYkBzGSjFpr8mmZGBlTL2wR4rX3EivVRuJ8FRKGRLtQdAIAANstHWE88noLOz9Xa048wTkNHK9yKptc90A6MfrBMLLLtls6BgAohZFbjRld/3uo747/JktGttmefR5jOSZLZk6RrC7Xq5x0/OVTjrt8ImZ2XxezenbaztJhWdIzGMlGqXrsH4LXaUf7ceeKCDzEVBOFT9/yCSRLWlSzF1svTTwipa0epZgaZrbfUPuzGyBGU4VP3XyjfXT6GYgghBJW3NMLL7YPTD0W3zlyP5KwKkLqu6cXXySWng5LjSltTeHaqNKec88svtzPDhiPIISo8fzpf2a2X7OuGbwTEaxwn7pyPj4IAJiFCCF9rGu7tbn/Nh5ST+3PboQIYsAEZW7QAghipEjaeaNXKWP16CPF67yJ0kGlJzUKMZZI0sizll9ljt9I3rz+k8FSYwIAMGGs733Dc3jbFxFCCAmWvMnSIQgh5AHtTHq44NQJGgBDzEPqdVIzZIg12UKKpIuIhVCWNLrUnFKKiSEAAGRtr2qs77mhsefkd1jLqwIBhJyL9yNF0iFBMkQQqv3Z9bFta+4VjEVyLj6AdSXGvaAlKKc84AxrinX++pC4kTXW9d7onSsfVYrJYSgTjcT1DHeCVtRwSvEdIx8OlxqTAIDD5oa+m90zi/t5ELlIV2Lu2aWXWofOPWltHbj99VYgVoOHgQMAOLiyXUjpop8fgwg/KThjUjzZ2/miEMIrzx+KmvVpTiMvatanVwSR80kRZ1a2V78EmET1g3v+AiIiM7f9qudhntsAAHz3wse8xbkDAIBLWUG+UPRbAgA89vJ5RqEHANi7sl3MJEToT1bGfZ4nLtyB0ygAq6TKQQhh4/CLfy0nUkNY1VPUdcpBeeHIyv6vIbu95w6jOza8+MzUP118rEvB6IkP931o7S8u/nDqweWX5p/qvXv0037NLc0/cfbvwSUahb8RWCFa/ob++/SCNWDPNk6DK3QDL1YROi54n7xvWBHZ2Mr2nuNKiTvvRwp98vBtDyQ/nS5IPbKKtEaFlnyH226LNaqlaAG8396rq6TgvQufSWGuLe4EEMCo4SwjmWhSwshd7EtH236duWGrfWz2WXN99/WCcYovCidAiqQRU0sxN2xTya8iiSjn27bOw9yw5c9WTyZ2DN/nLzYmvJnquLWx+6bas6e/7c1UxiHBkpKN9TUPTT8VVu2XI9QFZSFzw3ZYtReimrNE235Vzpg9jX2TDzuTy4d5EHkipB4LIpd7kc3coMW8sH3h5+28H5CcMorcC221OzUqIhaQWCfG9nJQ+7Ibsp+46fcBYxHzwjbWlZhgnAIhuHXd6Idp0ykDAL5/uc/zvgYhLGXivc6x6R+0Xjj5oLF58PbY9es+Hi7VznInaKqD+S36mq7rcCfl8Q0FHjmfGMr+9M2/BzGSuRe0kCobQgghKI9iu9Y+wL2gBQD4+o/mxK5yKRBLzwjKwsWvPPZbWJet9Ed2/TZEEPlTpcNyV2qEpMwupS+3AfyIBB6CZDNvjn4MQaLYYeU4uIxFttUw5fS6rDH8oaa/+CJYmStDCCFBSjyuFq+LKflrZpsH/zxib1+IdP3aRNtdPEhwJxlVIlpqvrz/r9KJkQ8qklWst6Z+oMixbkWOdclES2eSYx923PLxiLrVkLqVmNlz3VLl6NcpC1pLlSPfGOy+9fcpC1pR5FRMo7DZdpYOB0Fzxg+as3Grd1fM6Nq2uHz4a6nEmrsQxMpy/eR3c6kNHydYtgAAVQE4x0g2Elb/jc327AsYSRpGkiFJneCSC0EQywhiydQLm1U1OYiwpCuSWVgtBUoIzqLIq1IWtAlSLFWJ915c7VNtnn0MQiRpSrI/iFqL0wvP/lHc6tmJEFE0NT0chq3FIGzOGmpmLG71Xc946HJx4bwZQlky8/nMpp9p2fP7W82F/UwKmrqWGRPitT6EBKtJBLHcaJ/7oR5lxgw9twFdFH/OWGDPl/b/ZX/XjV8kREs5bvkY45ETUmcZI0nXlOQARooJVu4H2+7S4TPnHvntRKzv5rjVd4O8krilyFYRQoS5YKGmJAcgJMpydfxBhLAsESPbsudebNrvz+odAK6QwGNs6L0JIoSJpaXsmcqJYKF+lnlh21jXswvXlUW1N7Ouue/s95Ei6dpwYStSJL3xwxPfbB2YfBwAAFYEAYdHLMSq/IS2prANYNTpNV+sn20fmnryfOSZP1M5Mf/XT/4HIIAQXHCkEC2+c/Qjzsn5F0jcyAEAAIlpaWOsa4d3bvmYNpjbBBinzRcnH5LSVhdt2GW1JzMWhS2Ph9SHGOHkLetvgjJRkS5b4VJjqvztF/6I+6GdvHXDz2JLS/KQevpIcTvEaKrrF25/w3N4u9dQcMEB4xQSJHMvaoNXpesIQVteVb6grUFQHkXV9rzalRqJ6vZi5aH9f6YN5beYmwduJ6aSULrTo1LSLLC2V4UYSYILJhinIqQ+0mTL3NB3szddPqb2ZNYiRdKaL575F6zJFvdDR87F+6OavXD+fIx13TdgQ4khVTJo012uPHzgL2jDLSduWvsJORvvY67f1EeL1yGZnMp9bJes9mbWAQRR66WJR9oHpx4XnDP3zMI+wK58vGfn2q3ExXPOonZjVjAaBdXlU+7MxFvyY1mJgj/0Tozx7XKRuHPpf9f5on+5AubNoG7UCmreJe27GpIuxZyF1mTUDuoQAeTX3CXm0SvmjwExIoAL3p6qHUPSO2esepWrvNcYu8a4XlKQ2mqwaq3kL1hxnOwfVTfVStE8eJcqxN7v8JD6YdVZ8Gaq40o+PhA13BIcwpvhRd893I8cwThTe1IjSMKKko/3MzdsQYSQ4JxDBGHy+pEkVogWllvT5mjxuqjpVgB6dcIaD2mYvnXtiew9mz+LFKIBhDCAENKWVw0r7TmsKaaUNIuNfZOvEkOYG7RbR2Z3az2pMX+udook9GzUcitKPj7QOjK725uvnWLOKwacWJV0fTC3Wc5YlbDS7ojknDMAhMC6YildyTXcC1tIkXQSU1PgckEIIwnLtacOfdU+NPl46p5rf7W199Q/84B6hc/c/j/1tb3XQ4Ifu9oa9PpAjAiO61kAIZKLqTXmlsE7kEI0pTs95hyb3u2Ozz6n9GU3XFJoCIIIEqy09558sPnc+LeSd13zS87x6d3hQu1s4bN3/7Gxvv9mJJFv8bdqwH6Vdwwc1zNQwjJSJd3cNnIfjulpCACUcol++8i5J61taz4kZWK9P6rxIIgVLljgRs0pDCUNXGGBhwsW+LS9wC+o/pCQmuhPbPu8IafGKA/bEFxCCusbQKnfMvX8l7py1/xiV377LyuSWVSUeK+hpkeb9vyLydjgrRF1q2enH/+9YnbrzydifTckYgM3N9szL2hKciCiXr3j5iMEQvjF2aW9f0qImmAsbDfbs3sMLbOu7SwdtozitR3/Giz1Fnf++tzSi18q1058B0JIcqn1P4WxYgEAqgSriZWUq7hlFLcCwDnjkXtxahQAAAAIkSxbRR6wKAydcj2aepoQLYmQpIKLFlMxlnRKvbrn1yd1LTO24m3zmmuBEP4WwWo8GR/8QCY59mEIIOKc+m1n9nkIsWJouY1xq3cnQpJWq008aTulw+f/XggWASA4wWrC0DJjmpLoI0RJ+EFrrnOdXo1EtCQhalJEnMqSmUcQyxC8uvW0c13J0wAIUchs+dfF7NbPYKxYjrc8zljQ5pz6jL9i97FSRXYaIXKuUj/1L6Ze3JpJjn5ICE4j6lZMo7A1CFpzEXWrllG81naXDpeqx/6x4y/0/m1tvGyBByIIM/dt70cyUcNKa565ftPc0HszSRh5pEpm7Lo197lnFvdDCIB9aOqJ1D1bf1lEzM/cu/VX1P7shvahqSf96eVjPOz0OArGIu5HDiRYpk2vAhEkPKQXxPUJIeeTQ8barp1QIqqcifVEtfYC84KWnLG6AQAAabIFBBCs7VUF47T5/OkHWwcmH0My0VJ3bv5MUG5OY1UyRMh8Etez+prCtqjuloipJpv7zn7fnVg6BAAAyVs3nE7dtvFn3cmlQ+b6nhubz5968FLO4W3BBQMQIhGxQDBGz3ulCC5ouNQ8550rHyUxLf3y7hH1kYRlwXi04ukR2MdmnjE3938gXG7PAgABSRh5MFM5AVcmkxAjwkPqIVUyIEESbbhlUWBDrYNTTzSeHf9HSLCSvHXDp6KGU0ISUURAfWyo8cInb9hJbb9BYnrGOTn/gnOy09oW2z581NzYd4s3WTqsjxS3NzrX50ntp/JbeBC6qQ9s/NdqV3Kkdejck/5U+fA7XYothGBACIA1I3VhCeFV3pzll+aeQgTJLGQeRBASTTKxTDRiyjE5pqT9qrvoLzvz/IKWD4QRBghiCCHMbu9RBRdUAAAiJ2rNP3H2G0IIwYLOZxciiCBGGEKIBOeMU04hghARJAEAIYAAipV2gvPtBxBBCBEiEEEkxRQVYkRYyAJ0vn0RQYQIIgBBDDjg548LAABIwhLohIF3VjSEEBf+DiKIXxY9V1azEe7cVAEIYMe1VrDL9S1ZDQghhDJRXhOjzTi9OrG+ysUMrte2GjGU+Or/WPii3WSNtdca1++6J/5TuW55AFxaBeFV3iI8YoHoJKUJWCwZUgAAIABJREFUAAAwRwvbOzfHr/E6EEjCEjbVpGA8IoaSwLpsIRmrAAAXQAiJpWXc6cpxOW12cy9sY0XSV/NS8efrZ6K6s0RbXhUIIagbtvSh3BZjOLfVLzXPNV6c/H5Ud141QRdccDllPiXFtSx1/Ia/1JiKqf1GYtvgPbn7tv4qYJz1/dJtDQgBpG7YSt+6blEfym3xZqvjEKMvC8YZC6jnLzQmGvsnHyWmmlQK8QHBOFXy8QGsyjrz336bhAgjT3DBScIopO7Z9m8EZaF9cOIxfV3fjQBCJKWsrhWvv1VTYK7SmbeRuJFXB/Kb9bU9N2BTS3lnF18CAIhwvnoaaYqlb+i7BWmK9WbHEiH1gBAcmVoqefvmz2BDibf3nf6e3JUehRAgkjAKSOtUFbzzZ3aVS4HEjRxJGPnUvdt+TcrG+1jDKflzlZMQABjOV06D60buJ3Ejd15UfrPjoVeiq8/PbQQXjHb6exGBEGIhBBPgle+/C36HFGwqAEIkBAshRDKCWD5fJSEEZwgiAiHCQgjGRUe4RRBhABGGAEAuOD1/Uw0hQhBAslJ9wrhg1A6r417UPMfFK+23HHDWDJZeqvvzz3tR6xzlYfv8uDCUTYyIRpAck7CWDqiz6NP2/JvduNtu6TjG0n9SlUSfIlldhKiJBlYsxiLX9srHPL96lnNGFdk6lYgN3CphNbHSUhU43vK4EJ0Fa85ZBCF6xNTzm3U1OZjPbP4UQpIGAACWUdjcchZeqjZO1zCSDVky833FG34LI0nHWDZXzIUBY6E9vfDsH0pYSwDQ8QmqNiaeaNsLL108bternCrXTnxHwmpyRUDhEXVrQrxWJK/WzzziB41pCBFxvOVxAABstGeeu3g/zlkEAKhACL/VaJ3brSqJAZmYOYxlC2NJE0KwcvX4t22vfMwPmrMXtuUxFtpTcz/4b7qWXct55DEWOgII7nqV05T6r6qy8vz65LmFZ/+w7SweZCxoeStji9hrhSDOaQQAeJwQda+hZdcpslXESDIQIspy/eR3w8iprPI3Iei0FT+GIH5KVRMDuppeIxE9AyFEQdheaDuLh1b72/cjl1/BgxAWEQ2wqSa1ofxW2nLLwUL9bFSzF7zp8lHBOBUBdQUX3D4++0NsqgltqHANxRDLaas7/8kbfy9crE/oQ4Wve9PlYxBBABHEUtLIQwzximcMAAAASLCUuH7sAaUnNYZkSUOKpCNdtiBCRBvMbw1LjXMAdEqiuR86ciExRCwtFdba59tznPzHrzeihlNGBMuc0lApJodJ3MgyJ2ySuJ6NqvbLK6LRcmvGn1k+oXanRyFBEjbUxKWcw9vxPeB+6AAhOIAQKoXk0MsrhRAgKW0W9ZHidhI3spBggggGImIBs4NGsNSYQrKkAYwkHtJm/uO7qkpPeoxYWppYWgoIIWjbr0c1e1FYaigiFqCEkeNeaMu5+ABJW13umcX9KyllXvbD2xXmhTYXVHDGQjkX7ycps4uH1JeSZoHWXykPpzV70ZssHZKLyWGsK3FiaSl3Yulg/emjXzPW997IWl4FW3o691M7fzuq2Qv1Hxz7OiT4pXdqtY65TqV+4Lk/AxBhHvhX+8jfAsWbBx+IDaU2LD4z9WBQ98r99639bGwovRFAALFCNL/iLJT2zj6KZfwQC1kox9Rk/ob+m8y+5Fota3TzkAUsYoGWNbuVhJrtuWv0Z5kfOUSXvwyEEJlrunfE16S36AWr35lvTegF65/1goULNw7cDxHESlovUDdqVw7MPw0A2IMwwrHB1Lrk+vxOsz+5VjDOAARAjmsZrBANK0RNbSxsy+3ovTu1qXBDe6p+vHm2ckQvxp4Mqs7i8Ce3fAERJPOIBTxiYVD3SkSXvqck9cLAh9fdndyQ32nPNk+X9848imV8jJhKvPuONXdKlpJUklo2qHvLy/vnngQAvGHa19tBysb7ir967/9SiqmRl9Ujxql9eOoJkjD/gDbsyzY2vcr7hzDgvoUw7h/TNnUPqaVNu4xNmYLUO2ug4+/22N6vEEOJMz+0RcQCiBFmbtgilpYCbJW0EiFAsFCfMNd17XJnqieQTNSVVi4XAIBITE2pPalRf7ExASBAWJdjEL12ASJYbEwGS40pavsNbSC7EYXM92arJwVlIUnoOW+mOr7a3CKqOyXBBDXW5K8NSq1pKaHnaMurAMYpiWtZ2vKqgCDinF56SYTUJ5aavLDVjDlBkwfUVYqJIUSwjA01QSw1lf/gll8mhppQstZfBsvtt9USKyiPBGWhNtq9wzuzsB/raizzsRt/R+nJrEW6EkOKpL9Txv/vFyBGhCTMXFhunPPOzO/Thru2kZieae458a3G00f+Nnn3Nb98voL+zY4lOosIgbama7s7PvMsgBCm79/5m3I+MYBjegbKRH2NIfZV3lVw3MgKyqL2i6e/i2N6Vl/bewN3/Ebln/b8EZSIkmacYlNNrtwzvOEiqoTVxGBqx69BgCXGw7YAnHlRawYh8n1DTg9njcF7TTm7yQ6rJyrO1KMI4nEAAIgpha0xtXCtKaXWcsACAABQiFnAkKiDqR1fNOXsxrnm4a8AAJ7KGEP3pPS+29p++QiE6OsqMbvz5uhOU8luxFDS6/7csxiRRxAkWlrv32Epuc0qMbudsHZSIcaDMSXXnTNHPtoOlo8AAL4tYy2d1vtvyuiD9+pSYqjpL+5rBkv7Jaw+rRDT6Ilt/qypZDYCACGGRAuovbDsTj2KEHlo5Yb/dWEs8sAqFgcXEoTtEgDgmwB0BKnVPIdWHjtEiDLRdkpHAACACxqUqse/zVhoc05dhLAqS1ZB11JrhADCDxozftCYBqAT9w0uMd12RZy4pH1bzsJqNhevy4qgVwZvwXttRRz8JwgxEYLzNxLWwsguQwi/c8FzPfVmx18RiVazsHjTcYFO2+KPpHXxvcjlCzxccGwocUE5DZdbs0gmWlRpzTEnaDI3aLG2V2Xey8kqLsT42/5C7aw+UtyuDeQ3O8dnn9UGc5vz/+rG/zj/F499gba8ClJlA8f0tAgiD2mydd6AU0oahfTdWz4bVtvz7qmFF3kQuf7M8vHcx3b9eyhhmYcd3xoR0ZAkzLwzPreHxLQ0usCYjjadMm26FaUrOSIYj1biQuPnKwhWfGxeAKBTCQQJllaO7SOFaFHdLr3ZOYC3UTbPnKARNZwyDyKXuUHr5ahVxqOw1JgKl1uzRFfjUsLIM9tvYEtLSbl4P5KwzMLIhQhhAADw56qnsKHGkSLpWJctAAEkcS2jD+evZbZfAwhiEVKfxI1ssFg/G5WbMxeW9tKWV2O2V9OG8lvETIUJykKsyWbnGkSeUky+bM6HNMWEBMtIJhoPqIsUSeMRCyFGDwVLjUljrHunOpDd5J5a2Cvn44PFn73l/5n7i8c+D1bxv7kSrLRqXVY08U8qSlzNIAmrxJDjLKCe0R1fIyfUbP1keV/UCmrWYGpD7z2jn26eXj4IMZop3jR4m16w+vW82R+2/AoiWBFMMB6xEElYlgzJQjJWEEFSfDRzTXw4vVkvWP3Ui2yzLzFm9MRHmqcrB0t7Zx/FClZzO3rvMYqxwdhgagNWyAGtYBWz23vuxIqkQwwJEFBQN2pzximAAGW2dt2S29F7D0QQ1Y+VnueM09SGwi41pRfO/cuJvzK6rEEkYYUzTu1z9fGoHTS0rNkz/Mktv0m90A7qXjk2mNqIJKRQP3LMnsRoYiy7jVMeeiV7VjLlRGIsuw28MwJPrzbSvSOYKh1mftCWi6mRcLF2JnH7ls/YhyefAFc9Ka5yAUf22E9ec7N19wc+lvx5WUGqEcOJ8nw4PXvWP/Fuj+39CpKJovdnNgAmqDtVPurNVE8UP37dFzl7rakzJFgSjEfNA+ceU3tSY8aawrXnzXAhhBDrSoz7kSMoi8K6u4Q1yQSrVPBQJ2j1ffbWSTltdrUOnnsCkk6kOjaUhDdbPRk1nFX/twkhhJKPfy9718bPIJmo9vjC3tqzp76TvnHs48wJW8ZoYXvz4PQTImKBtannJgAAZF7UBp0KRyAYZ7FNvY8WPrrtN2jLq0CCZeds6SCx1KSUMotKMTkM3q7nGedMRDRAsqRzN2i6J2aesQ9NPiEXUsNdv/ahL0GClIvb1a5yERgREtdz3uTSgcbTR/6vlIp1O8fO/aD+2IEv07ZXpXV7EUCIsPlaQ9bXwAUXYacyW0QsaO8/83370OTjSJWMns9/9KsQIwlitGpS11XeHUhMz/KQevWnj/xfY0P/rUiR9Mp39/5/3uTSATkXHxCUhUhXYyvC3BsKPBAiokvJNRBAzETkOGHtdMT9uimlxvqS2z4fMb8WMa8aU/LXYki0uZZXk5CaSGo9NxOkxATgFAJIKA9bXNAAIaISpCZ92po9H9UNAZIQQBJGkkGQbKb1gdsVYnYRpMQZD+24Uriu6S2+GFPz1xpyakwlVg/jYdtSsptbfukgRrKJAJZlrGcRInJPbPPPWEp2A4JEaXjze2Si5/LGyEchQMQJqyd1KbFGxnq26S/ui5hfM5XMhi5r/afbfukgAODclXwt3sxQmtKgDV6/GtEBncq4993CzIpYc0nBHe9EVfxVVueyBR7BObc29+9nTtAkSbOgFJNrtIHcZvv47DOCslDtzawz1vYQ9/TCi3IxMSRnrMifXj7mn1s+mv3IdZ+HBEmt/RMPmxt7b5EysZ6o6ZZp0ylLGasHSljBpppYKT1tIakT78haXlXtTo0uf++lP4UESUiVdO6FbSR1Vh5oy6vQllvRRwrb5UJyMJivn4EIQoiRlLlvWxLV7EUeUFcE1PMr7TnadCtyNt7HHL+Run3Tz8W2DVdZ26vGd47cCCWsOCfnX5Bz8QHa9utKd2rNm50DeBsCD7X9OrP9upQyi9hQE+bWwTuwKk8DBDmPWIhNNQFlokoZq4e2vZqgPIIQoKjulLAuW+cnSdyLbClt9UAIMdIUa6VEPC0i5mNdiSNVMpjjN6Jae0EbLlwr5xMDzPEbECEEEMTpu7ckREg9HlBP+KEbLjUmo2p7QUpbPcwJmvFdox9JXD82G5ab07Hr1tyKddlyTy3slQuJIdryakohOSjn4jBYrE/4c9WTqTs2/7ycsbrtYzO7AeNUysb6wDsk8FzlMoAAAgE4EIJzyqOg7pWIIVvNU5UDteNLLwx/YvPnIYJIzRpdPGIBRAABAEDt2NJzyy/NP50Yy26LDSbX84gFnRYrCAXjTDLkmF6wBiBCuDlRPVJ6fuZhAAFkXmQDCFFiJL0ltbl4M5awEjb9ClKwJsfVtJYxeryKuxAbSK4/9+DxLwkhRH5H7z1Iwopsqcnczr57rYHkuvLe2cemHjz2peT6/M6Bj6z/Fa1o9Zu9idHIDptRO2iwkPnzT579Bx5SP7u95045rmaoG7aDmrukF6z+xFhuW/14ea/gghFNMoUAfGH35HfChrccOeE7UgUmIhoIykJ/tnxcSsd66o8d/KuwVJ/UR3t2yYXkICRYWs38+So/mZw94u5L5aTihh3Grc0qLQc+984ccveeO+kfeTfHBTHGUnd+I07EuoQftKP50nHmuK8ptf5xRDDO5bTZxbzIBghitTs50vGg815T2g0Jlgsf3fYbUcurEktLcT+0obTSygUhlGJaWs5afdb67hvcqeUjgHEGwKtNls/jTpQPxa8ZuLOxb/Jhb75+WutOjsavGbiz9tzp77zReINSc5pY2v9WslZv/NqBu9Tu1AjACNOWV7HH5/dEDbesFOKD+lBuK216y0vfPfCnF0aUt8cXnud+5MS3D95jbey9WUpoFCCEeEA9Eb39pDLBBROUhSJiQePpI3/rnysdFoxTpSe7DgAA4AVhF1dZHYiRhGN6BmIkp+/f+QWSNAvM8evdn//IV8r/8Mx/pw2nDITg2FTfXOARggvKAh5Sv7XnxLed4zO7BWWRNtq9A0AAoUQUgK9W8LyXwJaehhhL1rY195lbh+8Kl2oT2Y/d8Dvu+Oye+lOH/4YH1MW6HIPSJbxuAoiIebWI+7WI+bUl+9S3heCsYI59nCDZipi3HDKvokmJobhavK7uzT0HISIhc0sEyeZM89CfY0i0tD5wFwBAMB65nbtA6gHQaa1nInLcqHmOCeqqJNZHkJJAAMkLreNf82hzCoFOW75KrB4IkNTw5p6rebPPQIAw5UEzrhZ3AgiAAJzFlOyWvDnyUZVYPSfKT/xG3ZvZ3Rvf+qsZY/i+hNq104+a0wFzSwQpVssvHWj48y/04+2fV4iBFGJ2gSss8KyGbmIrmSWFwOdeu8Gqgcc9AACwEiSl6shw26zptNm72lHwXhrLamACSSJDcgAA0KrR5SgUrzv/JRIk8TTJcwZos0rL/GpAx+tyRf6xumeWXpILyWFat5ewJseMdT3XW9cO3eWcmt8bLtYnoEQUb2LpQPFTN/9nSLDcOjj5OOCCYUtNRdX2PNJkE8pEYW7QAlxwf752Ws4nBlcEorXpu7Z8Vu1OP0TbXoU2nJJ9bGa3Ptq107pm4E5saqmo3JpRulNjwXzttNqTHuERnXPG5/bEd458JCw3Z8wNvTczL2jxIPIgxhKxtLTanR5r8lMPci9o154+9nfJ2zZ8CkSACsqi/Ceu/91gsX6G1p0yrTtLgHPmTZUOi5B6l3QObwPuh276nq1L5vreG6O6vSTnE4PJD2z8dLTcnEEyUVnHmyfClpaCK7HOUbU9T1JWEUCIznfTCs5ZVGnNkqRRwLocBxBCqEgac4ImlLCKFEkPm25FKSafTd6y/meicnNaH+naEdXsBeYGLaRIOlIlUxvIbrIPn3uaRzQ0xrr/Nn33ls8CAQRzw3b2gR2/GZaaU2G5OR3VnZKgLPKml48x128WP33rf5XziYHW/rMPcz9ylUJiiDacJaTKJlQ7q3hX4j13lSuOwCrRedRxvRdC8LDpV7FK9LAV1JzF1pQUU5JyQs0Gda+s5cxeOalma8eX9vpVZ6l48yD2Ks4C86krGKdIxirwIwdiSJSkljX7kmtLz537nl91lgDo+OB0f2D4pxNrc9vbk7VjQcNbzm7vvVMjSAYAACWl5fSc2Su4YPZs44yS0LKciihy/TaUkCQoj/yKs0DdsM0C6lsDqbIz35xQ00aRaJIZNryKHFOTbqk2HTS8ZUSQJMfUFOCChe2g7i61p8N22GB+5Niz9VNhK6hhjei57T13jv7ctb/XmqgerRxa2I0V8hwLLsNbaxV4ELmQYNm6bvR+5vh1peVW9LHuXSRh5LGuxFdr37jKTy6uzdqYwH84fdh5sWtAGWlWaXn6tH8sDPgVfV++VZCpp2P33PxFKBFFyqfXNL7z+H8GADz0bo7pSuEv1M9Unh7/BtZkgweRJxiPGvsmv2+fXHhVqTgLIrf+4sRDwVzttLdQPxPb1HsL1uUYczr/54QQ3D61uI+H1BNCAAghbJ9cfEG8ylfwFVpHZ5+BElaiultScrF+f7ExAcA54E6U3rTMnra9OgCgjnV5UuvNrNN6U2MkrmWljNWrdCXXcD9yqj84+Y3W4emnadt/lRC30jZ9ABF8tPzQob9Ue9NjWm9qDBKsBOXm9Nu/kp3DY1NNpD+y6ze53zHGJCmziHTFwqaWfJ3o76usgFTZQKpsxnatfSCcr55yT8/vRTLRolLjHGt5FaQqJvdDG+lK/M2PBgAQQCBF0pP3bPuV2A3rPw4AADimZbClpbDtN5B66WmnV3lnQQRLXZ+7PykXksOJ27d8xp9YPMBsv45U2QyXahMioj5tOmWkyualtDoKwKKIB3UMJd2m1RMhdSsEKZaE1YQQgoXMq3pR81zE/BrlQStgzmJcKV6nED3PROR6UWNKI7E+LiKXCRZQHrY4px6EWCZITUCIUEYfwAhiRcZaVsZaRpcSQxhJekDt+ZC6FQAA0KRYj0KMgkbigy1/aX9AX/EWS+t9DCPJFIJHMjZyVXfmKV1ODEXcr3PBWdYYnm54c88pxCxCiBUABA+5V8WI6BHzax5tTklYTcpYf00C1ZUGIgivu8269Rd/v/hHB3a3H3nh8daDAIAfAADA3Z9M/lLPsLLuyAvOU6qGvuN7/IpHvl8q76WxrEYyKxU+8+/z/6NRpeUffq/xDQDA/tX2001s3XBP/EPX3mrdazdZ/Rt/Uvqv4AqbfL+fuCICD/MCWxvIvah0pdZwv+QKytbziPn+TGXcXNdzvTM+97wQQkR1ewlKRJGz8V6lKznin1s+SuJGTs7Eevz56qmo2p4TnHMlnxhHu0Y/yiLq05Zbje9Ycx9tOKXGs+PfcsbnnteHC9sgAEDtyayNau1FgBEhSSOvr+3eBVXJcMfnn7ePz/zQPbO4T+lJj0WUhUo+MRiWmzP+bGWcxPUsietZrCtWyIVAMnmeuUFTHy5cG9s2fC9z/DptOGVOWcDabpXZQaN9aOoJwTm7lHNAiqSRuJ5FsqQJykLBGIUIYYAgFBENqO3XIe6o2IKyUFAWCcZp+6XJR9Su1JpwsX4WGWpCShp5Y6xrJ7a0pHt28YA/Wx3HqmwCCKCciw+ofZl17pnF/UhTYudTxjr92kaeNtwyJFiCAEAS17PYUOJRwymf770Py81p+/jss9pAblNYac3KuXh/uNya9Wcq41LCyOKYnsFGZ8LgTS4dXH6I/pk+mN9ibRu6F7qwGVXbC0AIQBtOmfmRbR+eepL7kUOb7jKSiELiRlbdkF4bLNROY12JqwO5zVGtvRiUGlNX4j13ldcHIoSUnvRafV3fjUiTLe4GTdpwytjS0sbG/lt5SN3m7qNfd05caLYGQWSHTQA7dfsQQiSE4JAgSTBOg6q7GLWDuqTLlle255y55lkkY9XsS4wa3fFS9pruDPUjZ6XVkbGQeTxkQeSELepGtjPXPCMntWx6U/EGJGM1Npiq6cXYgGTKcSRjhfnUgQgirBAVK0RrTdWPE0OOaZppJEaz14KO9TFECGJvsTUdDKaWhRAivaXr5r57x/zstu644IJ5y/Y8C5lPDDlG/chlfuQCAASPeNiarB2TTCUhx9WMrxKdeZEtOGcsZD6PWFg9vPisM9s8k9/V/yElpeWLNw1+JKi4iwCA8Sv5+qy0kgpBedjee/q77vjMc5BgOXbD+k9A8toI5au8Fogx0Ua6rtPWFLdDjDCz/TptustyITmsr+25Pio3putPHvrrYL76Y1kt2DOkjvWNqhtpJAJZhfptH01qrsPbggseS5Hs9ffEP7Zxpzl/bK+9+90YH8QIS92FIkQIRXOLR7jvt6BMtNWiWn8c8RcbU4jg3ywOa+valWDRrtMqXzF/Pw9CEGomQu6zR7/p2qzFOuL43124z4pw8tVLfd6wZi8hCX9D7Uqu4ZSFUcMtO2dLB9+Krx9zQxsAsG9le0vwTuVgFQCwZ2W7LLgXtoO56im5mBxWB3KbOz1riAAAIGt5NVptzQv69iuEfhLAppaCCGLvzMK+1p7xbysDuU1huTFtHzj7cLTcnMYxPc3coAUl8qbpkjyMvGCucgpKWFG602sBgJ2ESgQxc4JmVGvPv574eJUfPVCRNKTKJmu7ldrD+7+EVNkkSbPQ2H30a97p+RcEZSFrOsskaRZWM25f5YiYIDkWMb/GRed15iJy28HyUQAgkrGWDalToiJsCwB4xLxqOygfRqi4Q8F6zpJzmwmSLSEEQwARLqjfDivHTDm9Pql13+jT1iyEWBKARwhilQsWMBE5XtiaTmjdN8TU/FkZ61ku2GHGqeuEtZOaFB9IaF07JaTE7LB2WpeSmLKgJYTgTlg9mTWGPoQhMbpjG3+hK7Z+bVwrjnaqfcI2AIJBABEQgneeV9CA2osRidcJkt/UdPxywQhgiACcPRucmBr3DyXSnSoUAABIZEnBsXkz1y0NKBrSQceT7V3hvTSW1ZBkqOgWjpUXoumuAWUEXCTwKBrSNu0yb/vUF3J3Dq7VtnTupgEkErxabfgGXLHSWH96+XhYakwZ63tvoi2vwr2wTWJ62pssHbaPzTwjKIvkTOx/KT3pMbU3vRZAAFv7Jx7W1hSuBQCI+u7j32BuYAMAQLjcmin9454/MDf136ZQHobl1kywVJ/klEVSwvi6tXXgTqUnM8aDyGW2X68/fWyPN7F0QB8ubMOKpAMIoKAsso/O7A6WGpPYUBIQQsjcoIUjNWGs7d4VLNTOcL/jDcRD6kMIDwaz1ZPOqfm9xtqe69W+zDoAItg+s7jfO7d87HwC1KWcQ3z7mg9mP3rdF6CEZRLXs2G5NSMoC6GEZUF5VH300FeUQmIQKZIRLNUnvM7q3Jmo1l6s7z7+DbU/t1EdiPUxN2jykHoYgBRzgyb3grZgggnKI3++dkouJofkQnLIPbO4//y50LZXax+Z/gF3gybSZEsAIKJKe15OWV205VXO7ycYZ5Dg56Pl1gyO61kIAOiUlhPVGC1uD0uNc8wJGgAAwCMWAQCOIEU645yef9FY13uD2pdZDyUse4fPHfUmlg5yP3KFEEJKml9We9Nrle70WChjtbV/4hG5kBiEMlHrTx37W9b2alfqPXeV1SEps5j/9O3/L44bWX9y6SDWlThUiIY0JSYXkkNSJtYrF5LDWFM+wbzOZ04vWANKSitgGSsAQ4w1YgIAoKCdih4oIZm6kY0UorGA+lrOPKikjYLZmxglmmQKyiOjOzYc2WHDnm6ctPoT65y55llBebS0Z/p7RldsSDBOU5uLN0IAYGuqdqw1WT2GVaKbvYlRoycxIrhgWt7sz27rubO8b/Yxd7F9Tklo2eItQz/Vnq6PI4Ikoz+5bvnA/FPlF2cf7frA8E8DIETm2u7b3cXWlGCCtSarR+3p+nh+R+/dalovhA1/GQIAOedMSWinlKSWs3ASx4bTm/1lZ55HPJRMOZ7d3nNHfDi9xS3Z00pKzUkxJeXMNk6xiF3xya6IWASEEMzxG8Hs8gnBeCRlYr0AAoh02QJqs52TAAAgAElEQVTwUiZqP9koPZm1xc/e/cfM8epRuTmNdCUGZaJhQ00o3Zm1eOdYAimShmTyu5eVbvguURyURzbfaN7htlmTMUBZJKJaOVrkDFC7SevxNMnJKtIghM+8I0lvCCFkaElkGVkkS7oII497fhNgLOG4VTSuv2ZU7i1uRZoSl7oLG6Xu/Ebv0MmH3g/izstwzq6/w/gw5wafOObuT+WlE7VS9HL7tWai2Ad/LvO5ZE4q/tOfl/8AADB3RZ628//2DUVliCASFwlO70XCUn1q9o++/SkoYRlQFkGCJZI0iwAhHFVasyKMfNpyr/rmvQFIkXQAIZTSVnf6gV2/zRy/wd2wbe0Y/fDinz/8ORHRUITUR5dgjkzrztL8n3z3F6FMdEB5CDAkJG7kkCobYblxToT06uvxHgISLEMJK1AmWuK2zZ+GMlGjSmsuv673xsbuo1+vfX//n3IvbMEs7r00LysIEMSyJiWGfNoxTueCM5WYRzCSYyZMy5aS3ezT9qwQgkOAsBNVTymS2S1jPZu3Rh5ww8YEQpKuS4khaJ/+TitYOhBTctcAAURf/Npfx4horaB8iLKwGXG/XrbP/DMXLDCV7KaMPnQPE6HrRc2psn3mn2ViFBDEakrruxUAAJhggUy0rCGnRgLmLHpRa7riTD2S1vvvUIhRiKtdOygP2hHz6k1/8UXKwzZGUmeuKngEgAAQYpmJ0EboFW/RdwqEIU7mpCIQAiAEXjVvmzsbjOd75UHf5Talr99y9KPgvTSW1Qg87syc9k8gCJDdZK+5R4ynSO6OjyV/QbdQTAAg6st06eRB93nP4VfTF9+AKybwrEzsHADAoyvbawgrrTnQmQQ9ef4xpEinBOP0wmSllcSrcwCA/3PxMVaMBv9+lcPvAQB85eKnBABMXLwjRHCfuKhvb2X8LgDg6Mq2KpdyDlDCsj9XPUmb7rJSTK5xJ5YOcC9sS5lYL5SwLCWNPDaUONKVGKy05pAmm53zFhwieIS5YUswFomIBbThlJkbtEjCyAvOo2C2eopHNIQIfa3xzPFvrEwGX8abLB2GCB656Pz+emV7FSvjnV7ZXrk+EB5ebaK+InK9oeN8VLdLAIASAODllWUkkyPNPSe/c/FYr/LOgE0tKWXjfc6JmR8uffnR34KKpCnd6TFz8+AdaMfoR0hMz0gps4skjDwAwAYAgNLe6UckQ4nbc82zzKfu8r7Zx6hHHXexNSUoj5pnqoe9kj1L3Y4vjVe254kqfQ1rkskC6slxNWP1JUaDhl8Jml517vEzXw/q3jILqBu2gwbCaE4Iwd3F9pSWM/ucheYE9agTVN0lyVQSLKAu9SNHz1v91I8c5kVO5eDC7ubZymEggBBCCKs3MerMNyciO2w4C61zclydt/qSY0jGWlBzl6gbtYO6WwYACIARwZpkrsQVAwAACBpelajk0fZ0fVxJajkWUI9HPPSW7BmiSqaetwbyu/o+pCS17NzjZ/5+cffkP7mL7cttT3gNEHbiatXe7IbCZ+/6YwCAgATLQAABJaLCqxU8b4qUtrqxqabqTx3+m/pjB/4KabKpDuS3mFuH7iIxPYN02ZLyySGkKzHwY2i8PnM6OGY363VVR8bgOm1LvkcenD7lH3Vt1sQEyk6bNadOeAchBBC8End7WUAEIVQVSx7o2Z544M7bSD49AmVZE1FHIEOKbACCFZKM93DPb4bTCwfco6ce1reuvx+Zegqw99f3u6Ijw3N4m0hQ7hpUx0a2GDtv+Uhq6sAzrYedFmtYCSzFUlI2162cXxV9R4AQQiRh2eqNjaQ35HaavfGRTb+6nW793E65cbZ2ePGF2UfCZlB7L4prK5VHFxs0X63ifTtAiFrPnvhm1LBLxrq+m+wDC4+Ey41pOZvoE5zTl5NX34CVufXSRQ+fe0fGe5UrhYAQ4WB2edw5Pr1bW9O9I6q0Zu1Dk48DCCCPaAAxkgG8tNZuCBEhSDIQ/P/Ze+84OY7rWrhC5+7pyWlzzljsIiwyARCRJBjFJIpJgUq2ZFuSbT3Lfv4s209PTs+yLEtWsKJpUYkSgwiCGUTOeQM2552ceqZj1ffHLiSQAkmQBC2K5vkL+O1s162e3q6qc8+959fPi24XZhjEPVEwE2c5LPocYuuE2rrplJKE2iaC6MlsaeYgBcSBACKZ8zUXzdSAQ23DtszJRHFkZ0Rpvo0C4phOKcEi3lt09GGHmHnNTPYDAEHBTPbKnLcJAIh0OzfpEFtHEA0BAEDRTA/wjFKmmcl+09FigAKiWanz8w5N6PGcETslsu5qACg1bG3OJmbWdIpxBvHuhDayy6G2VrIyI4QSK2/ETupWbsImb00PxZfeSwAhADAxa01qeScDFhrXAwDArh+lv4UxwAACYFv0LXEOvly8WiwIQ0QJoBABiBDAEEJICHUc+xKOkW8RUjFrFiH4OYaFnG3R31B0JuesyRceST/ICUjMJu3Y3IQ5Ep+xJhz70vcVzZOdFAAAEAYMhBBSQon9Cp9/p+K33tyOGNZ/uxz05eTOm8XL50BMu6SPJ85ikVON2cwQcIiFJV5dcPTigUNsLAturAhe1qdEtLMTL74sthHwm5ugl3ReX1ioL5nBe7Pzu9IbRfKu5Pe/FwuZXamhbJlredMOqbVitby4brMdz44nHz/0ZbGhbJlrScP2hcMvAACA+NGp5y6+BETwkZc9R7+RUbZ1qwQWXBsghFpxJjd60Y8feklIvy4xuECQXsChl1325b0mfsXmQwgPX/xsmlk9BQDY//K4IIRw6KET/wQxYh3DLl40NrB1+5IkJcLoqDadG5rYNfADxCDWSBXnzLzxltT22rlifPrrT3yS8cghQCnBsuhDEu+ykrkpfSx2mpjWqzphvAsAKCE25BhBbq9a5xRKKaWzdpPYWLZcH5k7Ofsfuz7t3b70I1gWvYhj3/Is3luBuQljFCwcvG75SKhLK5Dc5JDeNzls9HEcFNZc57k9OWtNvbxs6M1AaG3YpFy1/ENsNNhsp7OT2r7jP3BS2Uns91RK3W03AgSRPRPvw4ocMAbH9jEhf71cFmplgt5ac2TysDWbeEXi/3cRkoLVdNyawRgyJY3ki3nsDVdxdTd8MPTp4y/kdmZTdqy8lm8OlHGVlF4Zku3lQCxm/e3BJRUbam/xNgW6zZye4r1iKHk2dgAAQP0doZWuKnfz8CN934AQTr6ZtZvlEc/LjMssOUWz5LytJPz/k7FQwkYLJ4efsjOFOaEi0JI72PdzO6PNKp21VzslM/+u1fw7E9QhDnCIbSVzk7kD/T+XO6rWGRPxs/rY3Gku4q1DAicjnpUWeIXXTAzZxMgOJ/d/AUKEbTLfD+vXPzMLAIBLOjOSeevr5IX/QwgPXPyuQRAfKFrZUQggcohVXCjxd2yiZyj91RqlAwBOXeK6AMyvdaML/06Ci9xLF5yrfiMRvYA0hPCRl733rmhJ/auBAgAQBtjUadEbZKL5jJMEYJ40CZWzlaKCVcsgOsPAkQvkAi8iMRhlKyUFu02T6lrOyWg5J6OXiEac+XvFCUiAAABKAWV5KPACEr0hpow4wJ4dN4dLmlN45aheileKRRCRVN8hLrnqek91csaalFTkjlRydd4gG03OWpM1LeLzU8NGv2USEwAAGBayoXKumheRxLCQm5s0R3IpOwkAAIKEpGCUq7JtahklouXSdtK2fq0UYhjIuANMWHZhlWEhb+ikmI7bs8WFhs+ChKSKer4aM5BLx6xp8PKkHAVg6Kx+TPXiAGYhixnIsBziAQAvIWwwhriuTexat8PdlEs5cYQBE67k6gJRtqKYJ9m2ZfKe4bOl42+3HkRvFX7rBM87EbmjQ7t+2zG8i/+5oITYgFBHaq1cU/3ndz7iFI1c5rmT30v84sD/o7ZjejZ03o0UwYtdov+Vr/H6Dgr/Hdnjyx1j4XNzr/nBi7BAAiXBRZuYtwoLhPC7VuhvAtR2LAgh9Kxf9D73VR132RltLvXLw19JPXn061gRfXyZv4kS4iCBVX7bsb5ZZJP2nCAhpWuta0tZLd/E8lCobBBae49oe8AVUichjhODf3jfZwEhjt4/shtQ6mBVCSFF8gMKKCDUMSdmTtmJzBhSlZCjlZJkZDItdDRtdfJaIvfE7n+w5hKDVyKWtwt4EckljRRULxOgFFCEAY5PmWOqnwmu2Oa+WfUyQW+YjY71l06bOrnipCzCCJetqbqmbE3VDlu3i/nxzADEEJcSxWkprFTlRtO9xZg26apQ6z0N/sVGRk+A17BJvgDMICy4GI9ZdAqW4Riyl/OveE/5HZKH9VMCSGW7+sRkb/74lU6GvYvXD2rZBqCUupY17oArW9jCyeGn5UU1G11LGrabscxI+pkT30EcI17sivYu3iEgxKYOsdmAWhH5wNZ/tOZSQ9Shjnt1661s2FMTe2j3X2NZ8FJCHEAvnfC9GAtkycybDevlezFCHRtcoRLVNxvLWwlZxSrHI3F+PVa2dPTIw8U8yaXi1kygjKvUi/p8E3kWcptv837A7WOCAADw4Jdi/x8AICar2H3D/YGPRWu4Ro+fDaXj1qxtUwtjiHuPFvdhDH/gONSpauDbOlYo6yECuKyGb2B5KHiDTMQs0dJwb+mEN8B+1TKJ0bZcXqe4sc8oEU2UkZJLOckzh7XdxYucsl4pllAFV3PnJ8N/6fbjIMaQmZs0R8cHjDO1rcLiinq+ZdlG13WPfjf5LwwDd9k2tT0BNnzbx4N/VlkvtLq82P+dL87+KWbgI45NnfI6vvmDfxb9p6kRo9/Uqf7IdxL/DBYIO0nBrmVXu64ur+Wbymv5ZlFGrrlJaxQASivr+e9MDBl9oQqu5uYPBT8DAAD9x7UDAICvX4hfUrCy9jr3jrZl8rrudcrWYoHk0jFrZqRXP9nRozx57oj24gUnLUFGyi0fCf5psIytlBTkziTsuf6TxYMVdXwLhBAsXiNv3vN49ke8iH5wwe3snYx3CZ538S7eYaC2YxPbNollG6Xz04fzR8//EhDqRO7b/H8ZjxzmywMtAEGEFfG1bVXfxbt4G4Katk4JcYhuFgonR57Vzo49j0ROLf/967/BqFKADXtqnawWQzz3O+8IMzlk9IkKVgsZJxWp4upKGikk56zpC9nCKwEm7G+AAADtyJmfIkn0sGXBFibgrWHDgSYrlhoyp+d6hebaqxifpxKrSkhc1HQNKZYyxcOnfoTdrgiSRe87pcHyBbh9TKCmRewUJKTUtYtLDj6VfVgvEg1CACkBxCgR7fwJ7eDUkNFXLFx561m5zFVbubH21mJcmypM5gbrrm/6AAAQpgeTJ/PjmX5iERNCgFgX71OrPS258Uw/AOA1m4qzAhY2f6T2TwJVYuPuH0x8CTPoxPKbojfJXi4weDD1XNNq/5aeW8o/4Pxo8uvgZRn33xZYnyu6oDilgFIKCCWUUgooIHZWixHdfElGFkIIkcBKSBa8iGclLAluyCCG6FaRWLZODatEDEtzikaO2m/v0kJiOQaglGKX5NdOjTxTGpw5ylcEWlK7jn8zf7j/Ub7c34QEVn6X4JkHxAgjkXdhiVchRoxdKKWJpmd+F8lK6hCbOo4FOVZyCsnz2tnxPZQQWx+Pn4396MW/sWKZEe+GzrsBITZ4B717327ADGSau6QVS9e7KnkBij2b1RsKGSfVvFhawYtQEhXsKmTs1MT5eQWUZVIDIYhnxs2hynq+lWEBBwAA3WuVLf7IvJqkpBl5y6QGBADIbuy96nr3nQd2ZR8GAOREBbvcPhykFNDFq+VNx3YXnjx8Kv9YZQPfWtXAt931R+HP2yYxShop5LNOiuNgpeqbT0S0LJFW+ULsl1Mxa/bVYsEYMIkZayKTsOd8ISY6M2qe9waZ6MSgcY4XkeT24eCm93juG+0rnQIATLIc5FkeCSf25J8SFewq5p0sIfOkIoQQTY2YA4kZa0KUkQszkAVgXpmz5Xbf+6ubhI5C1kk5NrVjU9aYICEZAAC61rq2AAD6bJOalkH0TNKOKW78q3MJLyDhunv8H21cLPVkk3aMYSBHCCUIQxwoY6t23O//hChDBSG4kxBKMIaMlnMy6Zg109ApLhvp1U94/Uw4FbOnbZMagShbuXq7+5bhc/px8ApOXe8kvEvwvIt38Q4DdYhFTUc3JhO9uf29P2U8SlioDi2y88Vk4cTw0xAjlov66t/dELyL31UQy9ap6eha78Q+7czoc1zYW8tFfY1WPDteGpg6xLjlMJ1XOP+2Q33TGD5bOg4AgKqPCWAMmPiMNT45qPcVsvYVKyFkAt4aKPCqtGLxHU46N81Vly2xE+kRSikROxq3agdOPOiks5Ol0wM7AaUECrxL7GjaRkpGzhybOi60NWwyBsf2AwASVyqm3zbcASZc0yIuLmTt1PSI0W+USDEQ5SolBakljeQFCcn9x4r725bL69zz7ilXjOSBCKLqLfU9cpmr1sjpKVeVu6kYK05pM/lRbSY/6hhOkZFYlxSSKx3DLoohuSLaU7EVXAbB4ysTqgUZq4WUFUuOFwc9Eb7CWyZWm0VHc2xqFzNWErOQE1XGjRCE5E0cjBHPCmJ9dBkX8dYj/qXlkpRQp3R+6rA+MnfJnn8XI3zP1X/rWtFyEyDEoY5jUZtYwHZMahNr9vvP/C+I0KOUEAIRhIxPLVdXt62UWivWSM0VK9iguwbLgnu+RwmlRLeKVjw7Zs6kzpcGZ44qnTWHS4MzR52i8fZs2GkTC1BA8wf7fp7adfybXMhdXTw3/iK1ia32NF2vLG28FknCZVmkI5bhhLpIN1/mb4ICK19c00MpJfrI3KnS+amDv2tkCGIZjg2qVVzU3+jf0dMs1IYXC7XRbixxarF3Yo92bnyPsrhuyIplRq1kbvJ3pvE+oQQ41LHimbG5Hzz3OUApZf2uMn1k7iQX9tR6NnbeI9SGu4zJxH9bWdL/NEAEYU2z0LZopbJRdiG34sE+CCGcm7LGqhv59r7jxQMshzhZRR66oKKihNJ7PxOBkoJUQgC50Fexdam8xtBJUcs6aUoBJYQSy6S6ZVFTVrCbnyc+ciwHeW+IjRJCHb1INI6HQiDKVNgWNScGjV7VxwRFGavJOXva5cF+t5cJMBzkZyfMYUoA6VqjbAYLjo6vFAtEEMku7ClpTl71MgFeRPKJvYWnFq9WNkEEUCpmz0SrufrqZqEDzKuzKCWAFDWSl93YQymgF94TlFIquZDqc9gySgG1DKoDAEDTYqmn52rXdaf2a8/Fp80JUcGuxLQ5bprUABRQb5CNAAAAIZQIMnLBFEjAhWbhEEG4YpO6jQJADz+Xf6xrjbx5+Fzp+OyENay4sTc+bY4zDGRXbnXfPNyrnwAATAMIoCgjl21REyGIozVc4+5HMg/WtYvdoXKuJh2zZ8pquaa6drEbYXjsQkncOxXvEjzv4m0BCCGEHCMgnhUhRhxAEFGH2tSyDWJYxbd7lu23CSzyitxZs1Fuq7qK8avlZQ9sF4XqYAexHEPprt+mD88eTz938nuIYyXW7ypDIu9CIu8K3Lz6M9Wfu/Oei69FCbFze8/9OLP7zA9fa1yIIIQswyOOESGDeUqpAwCE1HZMalhFYtnv2t9eAvMORbwbcYwAwEsaI1KnUEpfcOx7uwAihBi3FIIs5gBGDBZ4BatSEBDiFAemDl6IF3EMj2XBw1cEWvnKYCvjVysghgw1rKKVLsyYU8kBczY9ZOdLKWrMu+5dbgysVwnLi+s2S03lKxi3FIzcu0llfEqUUkrlRbVXlwYmD2hnxnZjl+Blg54ayLECljg1+v4tf1/9uTtfcvAmuplP7Tz6Ne3s2J4rfa/eClgmMRGCh0QFuTgeCcWCk6ttE7sXrVSaTx8oPH8lxsA+dyU1zAKWBA/jVctzO3f/Y+n0+SeZoK9WXr7oNrY83G5Nzp4pHjv3c2rbFsQIQ4w5eVXX3cbA6IuQ52U2EmgE7yCCR/FgX3LWmvJFmLL+Y9q+/TuzP8EI4GA5V+OLsOXd69RttfMbReZKN0ZHDGIDnZE1gALKuXhPdiR9buBHZ/6llCjOXHDP4ly8u+n29k9qc4Uxf2twubvet+hyro05xJs6KTIc4m2TmN5yscbQ7HyoVm7JxY1pV4CLzPQXTs0Nab1vitxhMevZ3H1/4IaVf4gl3g0YzEEIAEAQI56TAQQw89zpH8x868k/AgCkXzFeiVcqP3tbBeIY0cmXkgBQiljMY68SBRgxQk14sXZy5Bku7An4r19xk7qy9RauzNcIGczZqdxU4cTwLnM6eZ4YliY2la9QlzftEOujS8T66BJ1VcstVqowXeyb2O9a0vCdYu/4Hqc07zT6tsF8I3Ug1EW7AzcLnyn1Tx0wp5Pn3eva7xAbosuM8fhZalolNqhWvuplEITuqxbdFnzPmj/FqhSEF74PCDESOBlAiPKH+h+Z/urjHwWvs8T5JeMwmMUi78Kq6Oergu1cyFvL+pQodol+yLEixIh1CqWUMRE/VxqePW5MJvqIZmRe734B8azIR30NypKGayo+fUsPF3JXM361glGlAHWITYpGDnKM4F6/6H3qmvbbnawWtzOFWSuRmwjfteF0sW9ynz42d9op6KnfRi/Qy8LCWwUros9/Xc8nrFh6RDs99rxQGWzzbl/6EWMi0WtntRjjVaJIYK+IWhUiCJHAyUjiPXxlsE2oCS/io75GxiOHqEMcO1eMGxPxc8Xeib1WLDPqlMz8xSY5b2psBjNYEX0QQUwJdQCgFACIIIZ43p4CzNeZlcz8BQfYV5sH5FgR8awMMcKkZBZe63cuBVFCSnOXuHJq2OgPV3K1kgu7n/9F5j97j2p7GxeJyxQP9rt9MJhJ2HOW+esGwZKC1ULOyVBCHULmGxYThzrhCq624HI88Wlz7NHvpr6sFx2NYSEbqeLr8mkniRBES65SUKng5EyTGsPnSscPP5t/TMs7mRWb1RvDlVxNfMaaSMWsKb3kaJPDen8m4cwuWiFv6Fghbzixt/BUsJyt9gaZcDpuz71SLJQCmklYs/mMk2ruklYMnysdf+GRzINj/frprXf6HigtqFJrW4TFAICdlFDKsICVXFgFAEBCwK96W1ICnNikNTo3YQyX1/LNC+YPoLKBb9/9WPahmTFzsHutsvXFxzI/HD9vnCWEUoaBzAKhBTADGV5AIsNCVss5aQAA8PiZ0MotrptsG5iVDbAtNWtP//hn6f8zNWIMNHWKPXd8IvwXc5PmqGnQUmWD0IYQnFHcmGp5JzMzZgw2d4krYxPmyJ5fZn909khxz43vD/yhMd/nyKlt4TsXXM/eJXjeTsCSoDJeJYIVwYtEzgUZhoMIYmJaJTujzVrx7ISj6dkrNR7ECGFF8DEeV4TxyhEkcDK1HcvR9LQVz03Y6fwMvaiJ6xUbF0EIGcxR2zFfnk3Biuhh/a5y7JL8iGMkQCkxphJ9Ziw7fqXjeDOALGaFylA741PKqGnrdrowbSWyExdvoCCEEKuSX1lSv0xqqVwtNpYtZwNqBeJZ2cnrKWMq0V/sn9wvtVQcMSaTfU6h9JY0vgVgYWGTeJXxKBHGo0SwIngAIY5TNHJWMj9pJ3KTb0fSQmqrXBu5b/PfAQggMewi4hgRSbyKWUbAiuBFHCsiWfDYydyUnSvFc/t7f+q7rucTjEeOUNPWiWmVIMvwQlWwA8uCx5xK9gEALknwIBZzjNcVZXyuqLq6rUqoCrYLNeFOrszXQEpmASCIrbnMSHFg6pCru/60OZseshLZ8SvpoAYxQhAj9uVZOIgQwi7RP++wJHogx4jUsEr6WOyMnSu+bQ6eYlP5isBNqz4t1EW60LzzCQQAAuo4duzB5/8CMvi/3uiGCSIIGY8SYUOeaqwIXkABcPLFhBXPjtvZYnyhOfvrAuORQ1Wfve2nbMhTCyAAcN5rgTHG4mem/vXRD0EGj/Hl/ib/9Suucy1rvA6rUsAplFJOQc9AAABXEWhh3HKI2o5pJXKT2qmRZ3KH+h9BPHv4csks99r2O/w3rfoUKZkFajsmEjkV8azMVwZaGbcUgBgxjFsOW+nCtDGV7C8cG3zSvX7RXYxHDlMKKDVtHUu8m68JdwLHsQrHhnYCAF43wQMZzDKqFGC8SoRxy2HIMTy1HMPOaQkrlh1z8sXElc5+szziw5VcBS8iSZCQIkhIbl+hrM8m7DkAwPNXYgwIALDjqWHscUVxwFuj94/udtLZSSborbGTmXHe44pCgZP5+sqVkMEHAKG2k85OQo4TmZCvjgn4avTewWevRCxvFyzIvdOxKWM0l7RjxKGObVILANCHGTg42ls62bpMWdt9lWv7le7BAxHCrip3UymuTbMypyZOze0txrSXuFGZeSPbcEtbzNvk77aLVsHSzMva91S1q8tFF+OhFJDmNf6tFa1qt20SY/hY5sVTT8ce3tpY19Gyzr8tNV0aBW+CsEMir6o9zdcTwyrGf7b375yCnkIcI8mdNRuVztpNbECt4CsDrVgW3ODVCB5VCmJZcBf7JvZN/eujD0AGs2pP8w3+63v+gPG5yoTqUIf7qo73ejZ23stFvHVWIjeRP9D3sD6Z6HVyxQSgFCCRV4S6SLfUVL6CWI6hj02ecTQ9w0W89VzU1+Be3VYut1evSz1x9N8Zr/J1e94N9IoDIoiwKgfYgFrJqKIfAAipZRvEdgxqOQY1rZKdKyac3EXvEQQxgACSopFL/fLIV6xEdkKoi3Sbs6nB1M4jX4MMwwn10SWsR4m86tgsI7iWNV4HEMTxh174vJXWZiBGnNxetVZZ0nANF3RXcVFfPXbLIfAGCB7EMTxfGWzzbV+6xrWkYbtQHVoEGMRS0zEABBAsyCkZrxyGCDFWpjALKQDGVLIvd6j/Eb7Mt9OcywxT57XXKEaVfP5rl7/fu23Jhxmvq4yaVpHoloYlXjVnUoP5Y4M79dHYKdfS+msYjxLGqgbELWcAACAASURBVDR/zwGgQm2kS1lSv53oVtGcTQ8Vjg0+IbVUPmmMzZ16q8k9LHIyG3BXMR45DDlWpLZjUtsxqWnrxLYNohlZO1OY/dXeBkIEEESAELtwYmhX4ejgE2xQrQRsgI3/+MW/1U6NPhv54Nb/pyyu2wy5N2cLDhFCrN9V7lrRskzpqtsqt1etYzxKBHGMAFnMAYTmz4sOsYnlGETTM8XzU4cKJ4afkprKjxrTqfNE07NvpkxXaqlYHXn/ln/AkuAmpfnyScgyPFZEL2QxDyilTkFPF06PPstFvF8yZ9PDL78GlgU3F3JXq6tam8Sm8h6ppWI1o4i+zJ5zDyGB+weiv77vmGEhJ0hY6Tte2i/ISKGUkhMv5ncVck5W9TJ719/ouUvLO1mORzxEv250bRikhDDAFABAnHki4cBTuZ9vvtX7fowB7l7r2oowxJ2rlN2ql+mbHjHOE0IJZiAjKlh1eZkgy0FuesQYOPJC/gnbpGYuZSfu+P3QX1Q3CYvi0+aY7MLu/TtzP0vOWdPBMm6yYZG4XJSQIrmwu7yObwYLf8eXioVSSkQZuyQXdmeSdgxCgAAAYKxfP0MJJaEKrjaTsGMLzYyBQ4ADKAC6RgoQAIjxr/kD4lDHtqkFEUR6iWi/LtHCMiWO075MWocZwEyNmAMXkgYLTaezAACwUPJc5EUkmQvqn0g1Vy+5sDp+3jhX1yZ0n95feG561DhPHEr8EXbcMojOcpBnOcjVtAidvUe1vQDMr9uVDUJbPuMkFx5EmJyxJlJz1nRTl9STSThzCF35pMzbEb8TBA/iWYEvD7QoS+q3lX38usVcyFODVdGPRM6FOFaEHCsS3SyYs+lhcyY16NvS/VT+6OATdkaLvZEDDUQIIYFTxKaynsh9m7ZxZf4mLuSpYYPuKiTyKrVs3c5oc+Zsaqg0NHvMtbThudL56cNvtJ5b7Wm6Xulu2AYZxFyoKCj7+A4EMWJz+3p/Ahm8CwBAWb9a6VracE3ZR65Zw1cEmrEseIyp5AAX9dabc5kR7+auH+YPDTzqFEppegl3FYgRRgIn8+X+Zi7qa2T9rnLsluczOXj+5U0tx3Q0PWPFs2PGRPycMZ06T0pG/o2QWHJr1drAjSv/iI14G5DAKXYyN2HOZUYj92+ZNGdTQ/nD5x+Xu+ravJu63s+X+RqNmdSgPjx7vHBi+CnqEFuoCrarq1pvca9tv92MZUaLfRP7XMsbf1Q8O76blMzClej3cIHlF6qCHaE711/LVwbbuJCnlg26q7AqBajjWE6umDDnMiP66Nwp97r2F4q9k/ucrBajjmO9nsMcxJiRF1WvV7obtgPHsajtmJBlBCRyCoAQUdsxi30T+/KHBh65OKMEEYQQIwbxnMxXBTukpooV2COH8kcGHi/2TuxVV7W6AAAg/tN9XywNTB1EEu9We5pukForV5eGZo/rwzPHqENsO5Wf1sdip7EieLkyfxMAlCYe3v8PXNTX4Oqu38aFFqTsl3BjgBgzYmPZsvC9m28X6iLdXNBdyfhd5UQ3Ne3kyDOlgalDrp7mG7DEq2JdtFtd1XqLUzRy5lSiv3h++pCru/5xrXdi3+tRbkAGM96NnfeKTeUrwEW1NmUf38EAQhypqfybxYGpw4hjeK7M3xS8Zc0OoTG6jC/zNwEEkRXLjnFRX4M+PHNM7Wn+T+30yHNEt7RLjQ8ZzGKJV/mqYDsX9taxflcZdol+gBADMWIABYRatu7kSyljNjVkjMfPWbHsKDGs4ut5x0AGM9EPbnsfF3RXJx7e9/eAUMpFvLXute13sAG1SmqpXJPb3/cwWLCvv1wgjhW4Ml9j4JY118kd1VdxQXcNkgU3lni3nS7M6JOJXn149oTSVfdCaWDqENEt7XLjZoPuGiQJnty+3p8Yk/FeoTrU4V7XcScbUCv5qmC7q6fpBrWn+QZiWEV9ZO7EfJuM+bpsyLECF/HWF/sn95cGp4/IrZVr/Dt6Pqmubn1P5tmT32M8ylfsTCH2mvOTBY+TL6ViDz7/l+ZseojxyhH3mrbbhdrI4vyhgUetdH6a6FbRSmTHjbH4GXM2NcSV+5u00yPP5vb1/UxsiC5Vuuu3cWW+BogRcyErfjmAGGEsCx65s/bq6APbN3IRbx0XdFezAbUScqxIDFOzU4VpYzo5UBqYOiS3Vz2vj8ZOE8PSrkRms3uda2tdu9gNAYDBMq4KQAoxg9ipIb3vtX/78mAMjR/gGqpXW9OxXoAQg0ReBZRS4Dg2Wx5qw35vdfHY2V9gj1rmWr/iAWsm1se31G0wx6aOFw+dekjdftVnqPXOckvsPartrWkRF0MAwOSQ0XuxnHvBnjUBEfzF2YOF51+Pq8nlgVIAAfR1hFbEjs08z7l4L8QIXXz4RSxmu36/p0WJumqJQ+yp3WM/v5wrQwwRJ2IJMZBt3xi8gRJqCwrjPvdC/HFiU4vYxE5P6+POJexqXw+copHTx2Nn1ai3sTQwddBOF2bd6xfdBSHC8Z/s/b+hO676c6wIXsRi4dWuw6hyEEuC24plx4mmZ/w3rPwjz8bOu+1cMYFdkl/pqtsqd1SvN2fTQ7mD/Y84hVISi7wqVAbbjYn4WXMuPQIZzAqVwTaIEZPdc/ZHTq4YhywWkMi72KC7CkIIGa8SDd665rOMV46wPtffWKn8m25GC8DCfpJnJb46tChw8+qruLC31s4XE3YqP01KZkFur75KXly7mVqOQQxTs5L5qeK5iT1cwP2fVjI3JdSEEAAAmLHMmFMopaWm8hVmLDuWODb0JACAivXRpdSwiq/Vg4cYVil427rTUlN5jz4yd1Ifj59VV7XegkReTfxkzxcCN6/+YyRx6rwr0+ubHxtyVwdvXXu/uqrlZsbjihQHJg/kjw3tFOojS0rnpw8Xe8f3OAU9LdaXLfNds/Rj+ljsVPrpE99m3FJQXdFyY/ieTf/Hva7jzvRTx76JJf6nr1YuBxnMeDd1vSdw86o/Lg3NHM08e/K7Vqowoyyu2wwIcfLHh3axAbXCt7X7AXM2M5zedfybno2d9xqTyX4np8WRwCn66NxJvirYrnTVbw3etu5z7g2dd2d3n/kh45a/ZGe1K9K4/gIQy3CM31Uht1WtDd2zaSmglFqJ3ISTKyawS/R7t3R/CDGYI6ZdcgqllD4aOyW3Vf2wODB1CDIYAgiQUzIL+vDscb461AEc4mSfP/2gky8mkcS7SMnMg/kmy29oP3whyerd3HWjurr1Vr4y2GYnc5NOrpjgwt66i0srrVR+Ov3sye9ikXcpi2s3qyuab1R7mm8w59Ij+sjcSe3UyDOsX33EzhRmL4eoezmk1qq1Yl2020rlp0lGm3MKpaSTL6WdQinl5EspWyulEcvw/utX/AGwHQtL/OepZetI4BS+JrxIaq5YVfbx6xZzYW8dZDFnJfNTViI3IdZFu6Wmsh7EYg4A8LoIHpaDvKwid6icrfYFmYjjUFsrkBwAAFgm1TEDWYQQzqWdBEYQX/i9Yt7JORYwiQMcuqCaGTxdOuL2M6GutcqW2KQ56gkwkY03e+8tZO30+IBxRlHxzyCCRdui5gVzhaJG8pZBjPlY0MDR3YWdDR3iUl0jBUKoc6EXn14kWi7txBU39gEAQKiMq361WCgBJJO0Y5ZJDMWNvdK8wxVn6kS/5n3+s5tvlT7Ai0i6QFpZOikVck4aYYC9QSbi9jFBjCFyHEpsG1g8D0XbopaoYJUToAgAAJgBDAUAxGes8VA5V/NKe3/HpnYxT7LZpB0zikTDGOL1N3rq9SLRZBdyu/1MMJuy4xes20sFkh/p1U9Gq7kGScZqXZvYzfFIWJhrNpO0Yy4P9rEc4gUJyYWsk1m63nVm2UbXtdFqrrFUJIUFBc87Gm9rggcymBWqQx2R+zbdL7VWrXU0PeMU9DSllOQPnX+s2DexjyvzNXo2dN5tzqQG84cHHpNaKlcFb7/qL9zrF92deuLoV7EiPO0U9MtSfUAEIeNVIu6rOja5ljVey3jkMGQwx1cGWhmX5Adg3r2ldH7qkD4ePys2lvf4rln6Me/Vnfea8dyEdnr0ebm96hF9ZO7k66rnxgi717Teahf0tDWXGQWUEsgyvFAT7uTC3lpiWJrYWLZC7Wm+gZhW0Yxlx5xcMaGdGn0u+cThr3IhT1XgplWfidy/5e/dq9tuSz11/BuMW97r5IoJSimFDGa4sKfWv6PnOnVF842Mz1WOxPmFwUrlp52sFgMQIsQxAnaJPsbnKkcCJ1PDLJqz6eHsnnMPsX71F3YqP/N6Duflv7fjnuLA1KHst3Z9iq8MtCmddZvkzpqr5fbqdZDFgmtp47VsyF1tTiUH0k+f+DYX8dYzfrXC0fQsdok+qbVqDQCAFnsn9hkT8bPYJfpDd6z/3+Zseij+kz1fgAievRSRdblgXKJXWdq4Wl3RfCMX8dZDhBAX8dazgV9LnY3xZL92evQ5vibc6bmq40732vbb7XRhttg/uT93oO9hRpUOX646BLtEn2/70o8qi+s2m7PpYWJaRWo6BikZOTtfTAHbMYM3rfoM4lgRYvyfWJ5XE6krWprF5opVXNRXjzhGhCzmxfroEgAALA3OHAWUUmo7ljmbHtbHY+cQxwp81Fvvmp9XnT40fdScTp0nlq3LHdXruYivni/zNxHDLPqvXf57kGMEfSx2Rp+In/Nfv+IPfuO7xAi7ljRsC9298W8ghMhK5CZLI7MncSwzWjg+tAvxrCS1VK5O7TzyNb480IJdog9QQLFL9GFZ9Hg2dN7tXt16a7F/6kD8J3u+ACE8dlnPEaUAybzbs6nrfn1k7qST0+KAAoAkXhWqgu1I4GSpueLL4buvvk1ur15vZwqzVkabs7NaLH/k/OPZ3Wf+S2qvWhe8ec2flH3s2q9qp0efSz994ttYFo44mp4DYJ4Y4asCbaHb192oLGnYxqhSAAmsYudKCSuVnyaFUhpgxCCOFRm3FGR8rnLIYJboZkEfmT2RffHsQ4xLfNLOl14xA/0SOMSxEtlxpzLYWjw7vge7pQAX9tQmHz34L94t3R/EqhQAGF72exmJnCzWRroi79/yXqW7fhvrd5UBAKAxmTiHXdALEMJ2oZQyZ9PDYkPZMveattvMWGY0++LZh7iw93krkZukzquTEGzIU0Udx8wfHngMCazMrWp9D9EtjfHIoch9m/+OlIycnS7MIllwS62Va8yZ1FDx/PRhalol9/pFdxHLMahp68rius1cyFNDHWKxAbUycNOqT7EhTzUX8vylGctcygL1YlBiWCVjOjlgTCb6scRPSC2Vq5Xuhm1cma/BmEz0mrHMKAAAuHqaruergh2sXy0XqsOdbMhTAwh1ir0Te43p1HnPhkV3X869hRhhLuSp8W1ftl3prtuKBE5BAicvPHsKAAAQwyoWjg/vIiUjJzZXrJLbqzf4ti/9qDmTHiqcGHpSrIs8bkwm+4n5xksAKuqFVn+YLccYMqZB9FTMmuZFJGfmFTxXBEh1hZ1MfsZJZSYAxiwbDjQZwxOH2fJwGkmiV+8dek5oa9hUOn7uF9RxbPXaDZ9FIu8qneh9VOho3AZF3kV18wqTHL9djPeXzrAcGhBl5JJc2F3ZKLTaJjUTM9YEAAAobuz1+BlQyDrpBcLnioE41J49OLkrvKzsam06P+JrCy5HHOa9Tf5Bu2RrmGfE+htb1gUWhVcvlG058VNz+y7n2gP7kk95wkKlJ8JXiC5GtXRSOv1M/OexkWJ/WYvSVd6mdk/350/lYsb0m5oEnFcicWFvrW/70o8BCIGVzE+ndh75GmQZnhJCEMeKYCG59EpAAitDBnFENwtcub8JYswkfrr3i8rShmuFqlA74gSBEuJgzcgKFYEWyGKuNDx7vDQ4fRiJnKqubrtVai5fiWXRCyCAak/T9QAhxslqsdLI3Mns7tMPMl4l6l7TdhsX9Td6N3XdT3SzgBXhC5e7d7zk9BFCjFsOqata1rjXtN0OOVbUzo7tTu088jUrkZuglmOwYU+tUBfpZlTJjwROoZRSNuipZlQpINSFu+I/fOGvAEIYAAjFxrJlXNTXYMykh7igu8qzYdHdYn10CWQwhxXBa2eLr0lMQAQx43dVeLcs+ZBT1LNEtwqpJ49+HViOQQlxMMsIkMHcZc+RwazSVXd18LZ1n2O8SrTYN7Ev8/yu79up/LTn6q77AaW02Du+15xM9ns2d31AWVy7STsz9lzswef+0krmJ7mwp06oCS+WWivX8OX+5vDdV/+t1FS+gq8IfMmYTFySwF7oIdhAHWIlfrbv7ygFwLdtyQNSU1mPMZse9mxY9D6iWxoSeQUAQNU1rbcyXjkMIIT68MwxCCFCPCunHj/8lfRTx7/p3dz9QdfSxmv9O3o+aafy04hlvnkllNpY5BW+KtgWumvDLUJ9dIk5mejLHx38pT46d4oUjRySeFVeVL0RIoS5qK8eAACI5ZhYlQJ8ZaAt8+zJ7+QPn38cQAgZtxxUuuq3Fk4OPw0ZzHqu7rxXbq++ivG6opBBnFPQU9R8/QQ7ZDArtVauCNy0+tNCTaizNDB1MPaDZ/8cCpzs3dT1fjhPiPzKqcqKZ8eLZ8dfRPy8WsitSgEAACS6VVCW1G9Tuuu2eDYuvje188jXsCI+8noV9xdUFZnnTn0//dSxbxDdKl7ouTXfX8tV7lm/6H1YEX3q6tb3GDOpQaHC3yK2VK5i/WoFoIAWe8f3xH/84t/q4/GzwCGWe237nerKlputeHac2uR1J+Atixq5tJPUi/PmBqqX8bMs5AAABqWUpuPW7MyoOVjVyLeZOi0BMH+W/NhflZWzHORyGSd5IaFk6ETnePT4zJg52LZMWlvbKnZZBtExhnjNNe7b3H4mvPO/Uv/ucmOf6mMCCAFGkJDMsJC1LWo5NrUKWScVrmRrAeBA71Ftr7lA/hCHOvm0nYxUcfWijJWZcXPo1WJhWMhV1PEt4+f1M7ZFTY6HAsbzBNXkoNF3bHfhSeJQ2+3HwQV1UiE1Z0+LMnKN9OonfWG2jOWRCADQSppT0EtE04ukgDFkZBd2AzBPOmWTdmxi0DgniEhG6CUtCX4Flod8RQPfCiGAyTl7ft2hAKhexj85bPSZOim6PNiHMETEoQRhgOMz5nigjK00dFIkDnUgAggAAEMVXI1lUsMyqYExwAyLOAAAmJ0wh/uOFw8kZqzxjh55AycgAVym6+TvKt62BA/ECLvXtt8avG3tnzm5UjL1xJF/086O7fZs6LwHy4Inf3TgcbE+utS9pu220sDUodh/Pf+XxLR1ACGSO2uu5iuDbZEPbPnH3N7yn7B+9Z+sZG7qtcaUWqvWBt+z5k/5qmB7/sj5Xxb7Jw+IteHFYn10iZMvpaxEdpzxusrM2fSwMR4/hwRO4ct8TcSwS4jFfOCmVZ/ybuy8J/PimR9yUd+XzZnUb8gHLwV9cOaYnS3GE48e/OfMU8f/A8m8Gwu8Ev3otf/mWlK/veJTNz8IKHXST5/4tj46d0pur1qXO9T/SOaFM/8FEYSIZ1vtdGEWiZxL7qy9WmqpXFU4MfRU+tmT32FU6ZBnY+eNvi1LPgQQRI6mZ518KamdGnkmt7/v4WL/1AHEMyIb8tRQ2zGl5oqVSnf9Nrm9al1pPH4W8awUuX/z3ylddVvnfvDs5yCEvZdzOOeC7mq+KrRIH5k9CRnMifXRJcQwi3Pff+Z/CdXhRcHb1v6ZuqL5Rmo7JuJZWVnSsN1K5CbzR84/BiCEYm2ky07lp5OPHfxy4ejgL6ntWBBjRmwuXxm5b/MXI/dt/uLsd576YwDA2cu5xy+HUBFoCd+3+VOu5U3Xa6dGnskfGniEDagVXIW/leimZs5lRhi3HLLi2XF9It5LAYB81NcIWcwR0yp6N3d/wL227fb8oYFHxYayf9aHZ4+/liICLvQeMGdSQxP/8LM77YwWI7pZoIQQxquEPes67nSva7/Tu3XJA2xArRSqQh1CQ3QJZDCf29/7s/STR79uTMTPifXRpWW/t+PfnUIpSW3HdIpGFiAI2YBagTiGd6/tuCN051X/G0m8Sx+aPUYMS8Mu0Y8BJZDBHBfx1EOeEfXe8b25g/0/Lw5MHSK6qSmLajZAjNjfiJvBnNhcsZLoZmHue8/+Get3lXu3LnmA6KbGRX2NQk24k+imhgRe4SsCzfrI7EkAIDQm4mf10bnTACPs2dB5j7qy5WbIYn7qS7+4H1yGHTl1iC23VR0iRSM7842df1Dsm9jPqJKP8brKKv7wxu+qK1tuVhbXbbazWjz15NF/J7pZEBvLe9JPHvt67lD/o1gRPRAhbGcKs0JNaJG6uvU98uK6zfkDfT+Xmsq/baXyU4GbVt6nrmp9D9HNAtFNzbIdq9g7sTd3oO9hfXTuFOORQ4xHiQBKidxZe7VrWeMOLuqrL52fPsxXBFrLPnbdV7Mvnvkh63N9/nIyvpRSGrhxpclX+FvDd2/8a3107nSxf/IA41FCSORciGfEy5WOckF3ZeiOq35P6arbaifzUxBDfIGoFeujS7W+iX2lvsn9peHZ46zfVQEhRE6+lCK6mfdtW/KAd0v3B9O7jn0dCexPiW4VX2kcxiXMk9sAUDbiq9fOjL8AMWaklorVfLm/ydH0LBQ4xcloc4UTQ0/ZuVKS9bnKlO76raxPiSKRdwk14U4rmZvMHxl4XB+ZO8WVB5rca9tu92zovMcplFKIZT77aptqJ19KYYl3MW45iBVxznddz8f9O3o+QW1iO/lSijrEZjxyGFBAIUYsX+5vdkpGXh+ZPZE7cv5xYzR2ili26du+9MMQodfM3CCW4dQVzTsCN63+DJJ5d/5g/y/sbDEmd9ZsAijMWKn8jJMrxrEqBcypRL+dLyWxKgVYv6vc0fQMG1ArQndt+Lx3c/cHUzuP/jujSt+yc8U35HqVT9uJ3iOFPWuu9dyWilnTw2dLx9dc67ndH2Er3sj1LgnbMdmQv54UtKQxMLJbaK5bj3juZ1DgkySvJbAqh/Sz53eJnS3XmZOzJ/UzAzsdrZiyJmZPsRXhDr62YhnRiqkrFs/bBIEoW9m+QlmPEMSL17m25lJ24sf/Ovt5QcJKW4+8nuORODVs9DIsfN62rhzJQyzH8jUHnoqurNxOHGKzAifV39D8gBSSy0vJ0iwjMrI2nR/RpvMjeqo0ZxbMbHGucFkl2snJ0miwWvpewwrfRk7Cyvip7MHxU7lDjk3s8haXPnI0s2fmfOFMPmm+prLu1SdBiZXITUKMGO+mrvvzR84/ZozHz/JVwTa5vXo945aDxLCKEL/m3yMEAEKAECoNTB2kNrHCd234vNJVt5najmnFMmNYlQLZ3acfLA3NHJM7a6/mwt4695r22x1NzxT7JvZl95z7kVAVbJdaKlebs+nh/JHBXxZODj9NSmZerI8s4cv8zcS0dUCJg3hW8m7p/qAxFj8DAPj+G5n6wvvjOu+W7g9yZb7G7Itnf5R57tT3zNnUIAAQCnWRbnVVy83qipab+MpAK6CUWvHsRGl49mhuf+/PS4PThys+dfMPQndf/TfZ5079AEAAFsrNaPiuDX8FKKVIEbxsyFNjjMfOIIGT7az2mt+XlcxPQQih+6qO9xZODj9dOD70JF/ubxLro0vZgLsSEOpcag/wSnN0r269JXTXhs/bGW129rtP/0nh2ODOeVJ86Ue4qK8h+cjBf4YcK0Y/cs2/CtWhjuzecz+J/2TvFxifWu65uut+17LGa4XqYAeACNvZ4igXVCt925Z+hPEoYcQyd15qTaA2sZxCKY0EzuW7ZtnHxMbyHsgxohXPjtuJ3ER2z9mHvNuWfBhixJqx9ChWRK/cVrWW6Jbmv67nE0ji1dQvD39Fn4ifZeadyZ5lPHJY7qjZ4Nu29MOF0yPPAgDesDoSIgj58kBz6H0bP+Ja3rjDGIudTv5i/z9pp0efI6ZtsB4l5F7Xfoe6uvVWua1qHRI42SnqWWM8ca5wauSZ3IG+h91r2m4PvXf9X1GH2BAhTE1btxLZcdfyph1ye9U6UjTyfFWw3cmXkk6+lAAIMeR1KigRy3Dqqpabwu/b+Ddc1NdgJXLjkGNE3zXLP8ZXhzqwyLnsXDGhj86dpLZjCTXhTqEu0h394NZ/AgAALuKthwxmMy+cfrBwauTp8Hs3fB67RB/jlSOR+7f8vVAX6Wb9rr+3kvnLJoqpbZsAUMpXBdsczcg6hVKGccsBqaVytdxWtU5Z0rCNL/c3AwQxF3RXl3/02n9zdLOgj8ZOIZFXnawWyx8dfCJ/aOBRrtzf5Nm0+H7vxsX3QgZzZiw7+kYqLCyD6o5NrbJarqm8lm+mFFBBQgoAwMAMZH0hNppJ2LOODSzLogYAAHA8FBgWsoUsSQsSUtCCsocXkGBb1BjpLZ0CAJyq7xC7b/1o8LO9R4v7ZifMkbo2sStYxlZmU3YiPm1OeINMRJCQsqBOsSACiBeglI7bs4KIJMukv2pTQAhwCjknU8g6aVnF7gtOVa8Ui2VSI52wZ7WckykVSB4hiOGCqqWQc9LRGq4hNmmOuv1smJ9XwaRzaTsequBqKQC0dam05vTBwvMAgOOWSfX4lDVWzDs5SinheCgAAEA2ZcfCFVwtQgDnMk4yWs01gIUzG8shDkIATYMYooxdhk5KlkUNUUKK41CnuUvqBxBAf4Qtz2ed9PobPHel4/ZMqIIb6VylLF28Stlk29SKTZljLId4SgAlDrUKWSedSdox1ccEIASIYQALAACFjJPyBtloqUByiht7ZRfygFcpDX4n4G1J8CCBk3zbl77fu2XJh7Sz4y+mnzr+LYgR49265AHEYD6799yPfdcs/7hYG+4qDkwdyB/qf8S1suUmV3f9Nqmlcg1kEGulCzOQwZxv+9IPGxOJcxChb7/SARyxDOfqabo++uHtf87659UbclvVWrmjZj3EiNXHYqcBoAAropeYVokJuCtlO7G0oQAAIABJREFUgVOU7vptkMFs+unj/8FXBdsppdSK58bUVa238BXBVrEu+ll9dO7Uax38sSr5Ec9K1LBKQn2k27WsaUdpcPoIZDAHGcxCjHDy8cNfBQBAdVXrLYVjg09a6cK0/9plH+OivganaOSZgFpRODL4y+z+cz/hK4Nt3o2L7xObylfYGW0OK4I3f+T849S0dSTySv7o+SfsjDbHRbx1kfs2fZENuivNucxo4cTQLjK/kEzMfufpPzVn00NiQ9lyLuprVLrqtkCM8PQ3dv4BAGDktb5DNuiuwhLnEhvLlkutVWu0c+Mv2sncFBvy1PA1oU7qEJsSSpySkbcz2mzql4e/oo/Hz7J+tULpqttszmVGHU1PS21Vaz0bF99DdVPLHez/Rf7wwKOxh3b/tX9HzydD713/V1zY+xlzLj16uc8WxAhLzRWroh+77vNCdWgRRBALtZEuoSa8GLIMbyVyE5ZDLCTxbmo7JnKJPqm1crWyuG4zVkRf+unj36K2Y2FZ8BiTiT6xsbyn/Pd2fH3uP5//C4jxrldTQ1BCHeo4FlalAONTyqnjWFJz+crI/Zs3VX7mPT1Y4lXIs5LUWLacC7mrjclkP4QQQwZzpfPTh81YZlRd03a79+rF9yKek+1UfobajsUG3b12thhnPHLEu23phwEAcObbuz7tZIpxO6fFIIM5V3f9NtfKlpu4sLfOimfH577/7Of0oZlj1CEm4xL9fNQXkTtrG5HIKf8/e+8dHdd1Xwufc3uZ3ge9dxCVBMDeqyiR6qYkK5EtucifXOS4Kn6xHdtJ7CRO4hIX2bIsWc1qVKVYxAI2kCBAEL0DgzKD6eX29v0BUJFsNsV+b/llvb3W/DUz955z7pm55+6zf3v/odTX0HRVS/ERzG7y29bWfAShCJMwPNshTi1cUhOZIGZlXcLo/AUyy16C2VgfVeRHMRvrlgLhgcSxnqfVlBBBadJiSIrAlGY1W1ZW3gYR5Jc3QIhBS2uFF0CAAMPQzE0l220b66rlYHwUIgiKkDijxjPB+MGuXxJeeyFCE+ZM5+hbhqYpnjvXfB1zWLJ1UU4jDGWNH+5+ItMzcdi0rHCTZWXlrWxd4Sadl1IIRbDJ9r7nURNt10U5k+keP6TxUpIu8jU4dy5/GGFIqzQTGeB6J981ZFUSJ0LdsTfP/VhNcCFLS/ke28a6j1rX1d4DdENHGfKrGi9dN0lHCSenIYbihNdWJIzOnTdUXSK8tkKEJkyL5qNX3uX4r3FBELo0a3nWp3Z9A0AAIi+d+id5ITlpWV6627Kq6g6Upay6qHDybHRYlxTeuWv5Z8hsVznXP3Ui0z1xUAnFJ9REJoRaWY9rT9vf4G5rAUqT/3p1A0IIIYrgEEUweTY65NrT9iiR7SyT5mLDCIkxme6Jg/zwzFnL8rLdTGXeKkNWRWkuOpJq73ueLPAuw+ysj+uZfFcYmesACESYitxVdKG3TsuIcUNRJUtb5W1c3/RxiCD7rzYnxIngxcuEIlOZu1pNZIKzP379ITWamtU4KYHQhMW6suo2U33RVtxjzef6A+3zP3vrM3IwPg4MQ8fsJj+Z5cTt2xpLII4S15KzozTBOnYuf8i5s/lhhKVsQNdVU2PJdohjFIQAiBPBbohAFDUzDkNWRSLHVUGROMPWFm7UktxC/GDXL83NpbvUJBdS00LMeXPLZ8kcVznhtX9bWUhMfdjSUggBEg+r81PDYq/djflW7bTdGQ+rwcu16n8OKAuREUNVJQAhJPKy6lGXLR/3uyvl6bmuzInzj1t3b/g65nOXAxTFTKsa79eS6aA0OXeBrinbpsYSATkQ7NGS6eCfqz1/CSBphN54m3Orv4AolQRD8OQQhem4GmXNqC0aUmZjIWXW5Sdya9tMm6aHhEvgTzCmvRJSU4nBmWOTLyMoxCBLWFASo+S0nJSSYjTalzqbHI/3EmbC7m/N3R45OPqMJqpXJWn/EOEpfhQAMEoyGMvYcKenkCn3l5mhImjpk88EfiJyalrXjD/NW9AwdCWSDBiGYfBDs2eS7X3PS3OxEcJtzQcQQjkUnyB8jiKI3oBiBIEIleuqct+++quWlVW3YzbWl74wdkAcD3YxFTlteiDcBwxguG9f/VXMynrEQLhv4XfvfkNN8RHcbc2jCrx1alqILbxw4jtqPBNESJyxrqy8jcxxVdJl2SsgAtH0hbG3o6+d/SG7rHCTbU31XfatDR8n/PaT8vwf+3xcC5iN9Xj2rf+8dVXVnXIwPj73n28+zA/OnEZwjGSr8tdY19bsY2sLNmD2Rc8cYXj2XOJoz5PiZKgHGMAg/PYSz13rvkH4HMVkjruSyvcuQ1nKhloYl2197T10WXaLGs/My6H45NzLp79vSArvvW/jd+H7ykOuBiWSnF5Mywp2pdr7nxcmgt24jfXCJeKLzHGWQwIjr3cciKG4ta1yr/ejm/9BCoT7kyd6n1WjqRn7xvq/YusKN8vz0eF019g75qaSHUxFTpsmyJnkqYGX5GB8zLWn7dGle7pOZjsr1CQfVhYSk8J4sCstKpx7b9vfEEsP8Vc6t6FpqmNrYxhiKA4wlJj90WsPamk+ogtyGgAAUSvjVhaSU2osMw9RBLO0VtyqSwovjAe7AISIoetq5uLEYevKqtupQm89meUslefjo4asCqaG4m3WlVW3QQR+97/jpQYxFDO3VOz23LnmMYTE6dgb536UbO97XuPFJO625rv2tO3O+9pdtxHZzjIER0k1xUfSh7ofT3UMvWZICo8wpGVRcVK+B3fb8n33b/4niKPkklJqK1Xkb0AonFXjmfnYm+d/kukaO+DY3vRJqtBX/54J8Q0AITDStmHZfe671v4t0HSVHwycJNy2AsJrK9AlhU+fG35DywhRwu8oIVyWXE2Q0sLofGfm4vghaXqh19JWeRvNS0ktxUX4gUA7le9ZJk6FelJnBl8GAELXnrZHHVsbH0RZyka4LH8rR1IzN9KuRZIVAKY8p82+cdn9WZ/cWZb/2N2NKEtZDcMwpMnF0j7XLa2fx12WXGFk9lz8UPev6IqcNrrQW29ouoqaaad9W9NDTFn2Cl2SebBEWCrhZMDQPryCR+R1vud05sjK7dbbhIye9uURRS2bLTcXV9NdtS1sPmNCLGYr6rQ4UE9mUhsGYNGY2TCAoWm6imEYjmKLc/n+L/n+gWIQ0+pdtgPzk9JoeT3TMtQlnEFRiNImxKKqhqKphsqYUYvVjrkSETWEYRDHFwmTNAAACJyeziS0GIQQIku+OQAspmUZOtBziskKBIUoggAEQgitDvSKbUFQgALDMEw21Gn3YP5oUHlPBGEYhiHxOmexYy5V0WWKRth0XI1Vr2B7yxuYlQgC0Mi8Eth0q/3+oipat7sxjbWgNogAFMMgzlpQG4pCNKuQ7FrzJdvdkkBzsmgIDatMW/Z+3D2YjKrhXfc5XFxKTwAAfs2aUasqG5Ii6/JlYmp6ROrvO8edcHrwLEnQebMPz779E+6vzAfk8XRci8YjaigWUmYRFGKReTEgCTpH0ovfZUyo2enDctJxLfJffQKGIusia0FtqmooS2bR/6PxF0fwQBRBbetqb3PfseZrXM/EEWkmPGBZUXYzle+tlYOxMV1SeFNd4Wa6yNcgjM1fUBPcAl2e06rLqgBQBBOnF3ozF8be5kdmO6hcd5Vn3/pvITRhvprjAkQQxNxUstV736bvKdHU7JIyhxVG585rvJRCacJkXVNzNwAAihOhHnkhMSkMzZ5BGMIih5NThihzhqJKWoJbSAzPduBOSw6V566hCjy13vs3/ePcj19/EABwzZ01lCGtEEUwtqZgnX1j3f1yJBVAGcqKsqTVUDUFoUmL86YVjyiRZCCzmBZRQPgdJUosPSuM9//e3FSyU01wC4kj3U+Y6ou3MhU5bdylyXcRhjCbm8t2SYHwAMpQVoVPpjIXxw9TBd5llrbKWxEKN2XOj74RfvnU9xGKMJkbircCCBFpJjyAUDhrbi7dhVlZT+rM4MtkjquCXVa4ybG9+ZMIgX3jejGTmJX1LCYmYAQ/GDitZ8QE7rLmioFwP0oTZsJjK1QWkpOpjqH9wshsB12S1eS6ufVzVIG3jh8MnJbnosO6KGdM9UVb1UQmmD438rouypxrb9sXEZa2xw5e+IVtTe1HXHvavoiaqMduVEpNFfrqvB/d9D2ExOlM1/g7qIm0C6Pz5zVBSgFVV8wt5bcQHmuBOLVwSYmkAsLI3DldkNJqnAsaiirpnJjAnJbs+MGuxyGOUYTfUYLZWK/3nvXf1hZrt89d9eS6rhmKJmE21uO9Z8O3lgg84rLRnzi1cMn311t+gOAYGXv7/M9wtzWPzHFWSFMLlwiPrYDw2guVaGpWiXMh1Mp6LpeG4Q5zNu6y5No31n2UH5nrAKqmqLH0HACGbmoo3mZuLt3FVOauQnCMAgiC6pLM2dbWfMRYXX0XypIW1My4MBvrQc20E6Io/kdqN01XlXh6HreZvKmzQ69ylyaPIgxpWVR7lWyHCMTY2vz1dElWs6GoohpLz6IMacl0jx9ETbTD3FS6EyEJNn1h9G0iy1Fqaa3Ymz43/DoA4Do7OxCiLGWDECLWtTX76GJ/szA2f57w2AoggdG6qsmYw+R33bbqy/JcbJTrnzpOFXrrAQBAmosO84Mzp63rau/h+qaOi2Nzneyywk1krrsqdWbwFTLXXUWXZi3n+wPtuMdWIE6GLirh5DRbV7TJuqryDi0txNIdw69meqeOEW5LnqW14laNl5LiVOgS7rLkMBW5baiJsife7fktW1Ow3rKm+i5hPHgBouhvrlfypMYz80o0NRN+7vi3uf7pdqY8p1UOxscz3eMHyRxX5dUWtu/N4SJfve+vt/wAIhCJvXPhl4TfUWJpq7xVGJu/EP59+/cgjhFaWoghBEZZ2ipvowo8tfJ8fEwX5LRrT+ujWkaMxw9e+GXiWO8zuiCn7VsaPiaHEuMQQ5+7mmcMZmFcrltaH8UcZr+ykJhKtfc9j9lNfjLbWY4ypNW9d+UXxYngxeSJvucMVVMwu8lHeKz5SjQ1y/dPndBlVSBzXZVsdf5apiJ3JT8YOJ04dul3hM9eZN/S8HHH9qZPi6NznQCAwJXOT3htBYufrf+YNBXuxV2W3NTpwZcQmjSbGoq3mpeX7abyPbWQwCgAACDc1jzHtsZPQBwjUIa0oBbGjVlZD2phnFpGiCvxK5MRCIFT9q2NDzh3LX9YnIkM6oKchhAgwkSwW8uIccJjK7CsqrxdSwtRfni2Q56PjfL90+1knqdanFy4pAtiEiFwRpxcuKQsJCaoIl+joemqublkl66oYujJw18DS8aCN4qpYbEXAABPvZX4/bpb7PdmFcFyQze0kR6+48Mc51rQookAf67nBTzLW6UlUvPy9HyPlsyEDN0wIISnk28d/779jh3/iJgYp57KLCAMbacqi9YbkswjopROHzr1H7ok3zDB8H8DcoqpSn8BWeb04TmReXk6EVFDkXklYHPh3tkJaciXRxariiFHg0rgw3g63ShUURUwGn/ctyJ7K+s3F0AEIJqk8vGhSCeCoyTtYrLs5a5GKSGGIz2hk/qH8MlDUIg6c+jC5lv8W4qa7GtYB+7iYkpESCnx4dOxQyNnYofBnxj7buiGwdYUhIFu6OEXTnyHH5w5TZdlt6BWxhV56eQ/ufa0PUrmuqsQimBv5HhUkb+RyHKWcb2TR+OHu3+NO805tg219+FOS44mSCm6JKuZHwicjL9z4Re6oklMRe4qR03eGnEs2KUtltqihM9ejLKUTZxe6JMC4X6qwLsMNdNOYWS2Q1lITLJVeWuofE8NABDSJVnNpmVFmyCKTN2oByFC4rRrb9sn7NsaH0qd7H8h/EL793RJ4cwNxVvNrRV72aq81aiJckAcI9Pnhl8TRmbPSYFIP2qmnbZ1y+5havLXoQxp1TgxIQfj42SWowQYhiGHk9OE11ZIuK15aoILqSk+ku4YflVL8VH75vq/JrNdFcJ4sOt67dOSfBhouhbZf+aH6bND+6lC7zLMbc2LvnrmX+1bGz9O5XtqEIowQwjhtYhotjJ3lWff+m8iBEqp8UzQVF+81bq2Zh/uMGdxvVNHEYo0Ez6c1jgxARAUU+OZIADAMFRNznSOvIW5rLm2DcvuS3eOvhl76/xPhJHZc7qsikxZ9grXzS2fu24/MkJc46WUEkpMcj0TR1AL42RrCzZa2ypvZZcVbkRZ8nJsPAQoghmqJlnbKm5FTLQ9c2H0bcJnK9IFOaXzUjLdPfYOUHWV8NqKIIHRbF3RlvjBrl8BAD60BxNTmt3ivXfDdwxZ5ecff+dRrm/qGJXrrnJsa3rI3Fq+B7eZfKiFcUtzseHk8Uu/k0OJSV2U00xFbhtbW7CRzHaWGZquqtHUrMZSNgAhVBNcCHOYsyxtFXvVBL+gpYWoMDbfxfVMHGEq81abmkp3GqqmXC6buh4ggiDm5pItrr0rv6iE4uP80OxZ1EI7uYsTR1KnB1+EGEoYmqZa19TcjZpoR6Z36pg4OndO46U0QuKMLqnCwtPv/q2h6jJV6K1z7Gz+NMpSNn54roOtKVjPlOe0GbqucQOBdvOK8pu1FB9GafJbN5JgZUgKDwAwMCvrcd266ktSIDIgjM53CqNz5/iBwCk1yS3Y1tXuQ820QxiZ7Qi/dOqfzM2luyxNpTvFydBFYSJ0EWUpm5biI6Gnjjxm6IbGVOatRhnSshiA8OF9gQzDMBAEDvee5Y6WLqNXjPYKnXYPllWgU9rMmDQYGJUGIAJhURVdH55TpgAAgGIQk9mOOjXNUDECEhAuKmOsTsxrGEAvqqTq199iuxfDID4+IHSjKEQNAxjBKWksMq9MF1fTDbpu6IYBdJMNdRDkotExhIvpVZmUFvflEUUYAQkUg5imGqqxGDlmXPbkgRAiCALg1dpCUgjjzibyZ8fTQ93t6XcIEqENfdGAGYEQwUlIBUakPm8uUUQtESejl4TzTWuV7bJkiHxaS5rtqGvtbus+kxWzK7IujfVpnYmouoCgAIUIQOYmpZGjr8afuvUh95fOvJN6maIR1p2N50uiLsQW1PnSZfRyBIFw1U6r02xDnTiBBHByUZUkcFrG4sB+sWKT5SaGRSyGAZYzJtQiCzqfTqoxk4HadB3ooYA8MtTNn5ElXXJ4cIfdjfki80qg41B6f2ElVadpS2lfcFHNFBhVBmxOzMuY/h/B838UEEJIl2cvd+1d+SWUpWxUoa+eKvY3oSbKJgzOnFaiqRldVDKE31Gc6Zk4IgzNnNEEOU0VeGrNzSW7EJJgQ08e/oo4EezWZVXEzLQT6NfehSKzneXOm1s/JwzPnhUnQz0aJybk+dgIwpA2U2PJNpTGzamzg6+iLGWji/yNTHl2i21N9V3CRKibuzR5FHdYsk1NpTv4/ul2hMBpMttZernG3H3nmsfsmxs+hhD4967lwYAwlAUSGIW7zLmJY5eelmajQ4TfUYI5TH5xItRtXl56k5rgQqmzQ/ulmciAGkvPGYahs5W5q223rfoyQhFs+MWT/6jGM0GIoYSykJiMvd35MyLLWcpW568j/I4ShCGtqdODL1H5nhrcZc3l+6dPpDuGXtM4MWFdV7vP0lqxFxiGHj988QldVkXCZ89SU3w4c2H0bXkhOUVkOUrdt636sqW1fE+ma/QAhPDday0AUDPtQAiM4ocCp6JvnPsxbjf52GWFG21ra/epiXQo9NS7Xxcngt0AAODcveIR+9amh3RJ4cBijaaBu615mN3k4/sD7Uo8PYcwpOUyUZHuHHkzc27kDWU+Pua5Z8O3LC0VeyACf3O9HRfcbvL6Htj2qC7IqfS54dd0UeHkueiIAYBhbirZgdlMPmFsvlMYnu2gS7KazY0lOyxtlbdKgfAAd2nyCIAQtayuvkucWrhkRJIBpjR7Rfrs0KvyQmLSe8+Gbztvbvkcbjd9QblKAoeh6aouKQLEUALiGBk/0PkLcWrhkpriwyhD2Zy7VzyCMqQ1caTnSTLPU22qL9oiTS30ZnomDvMDgZPSTGRAywhxU0PxVp2XUlpGjAEAgM5LqfiBC7/gh2ZOA8Mwsj6966emxpLtUiDcr4syJ8/HRuX52CjusuaiDGllavLXapyUjL3R8SMtI8QAhAjutRVQOe4qJZaaTZ0d+oBZp2EYhrmhOK6LCoeaaYeltWKPpbViL5nnrtIlhZcC4QE1wYX4/ukTCE2a6bLsFoTCWZQhrabGkh2YhXFqKSFqaa3Yg1lZD0ITJqrAuwxCeG1PJwggwpAWSOA0ypDW6Ktn/lmJZ4J0sb8Rs7EefjBw0rKi/BYpEB5Idwy/Ji8kJtV4Zh4hMNpUX7TFdFPJdi0tRKOvd/w7xFACIXFaHJvvjB/q/rVlZcWtdJGvgS7LbsFCzLgSTk6hDGnB7SZ/8ljv0+nOkbcgimCOrY0fNzUUb1MiqUDi2KXfAcPQFxdo0RFxPNitJrgQPzxzxn3Hmq/btzV9guufbgcADF1rHl725yJ8jmLcayuU5+OjhqarVK67CiEJFkLkqgoe3GH2+x/c/hWq0FevhJNTluXlN2Uujh+OH+5+QhiZ66CL/U32zfUPYA6zn8xylClxLniZyCE81nxD01VxMnTJUHXFtbfti2SWsxRlSLN947KPcovS9CsuaiGB00S2syzV3v88xBCcLs9ppfI9yyCG4gBBkGR73/MITZqtq6ruIHNclVqaj2gZMcEPzZyW5mLDhqyKpoaircRi6VRKCSenqHxPDVuTv36p3KuVLslqhgicvZKvlhxJBcIvnfo+d2niCOG1F2V9atdP2er8NXIwPq5LCs8PBk6J0+E+1EQ5CJ+9kCrwLFOiqZlke9/zGicmEHzRiJvMcVbwQzNnhOHZs1fqJ1udt9a+peGB9PmRN5RIakZNcgtyMDZGeO1FbG3BegAhkjh66SnCZc2lCjzL2Jr89bZ1tffwQzOn+YHASbosu4Xw2Ysvy/4xm8kbfv7439Nl2SusKytvF0bmzkMUefLDmNYrki66/HiOLOp8+xuJZy8cS7+VTqhRLqX92dIil36HLy29/ug9iKLt0d+8/Em2pe5uItdfp3N8VBqbPivPBHuUwHyPlvmfV57lLyTLfPlEcTKqht9+KvKTLR9xfiIyJ0/TJsRisqL23FKqSpENSchoaeO/aXB6PaiCwiM4+ga/wAXktBR31/nX+JqzNyu8ktZkTVzonHt3/nTgLT7MfSi/nJwqS6Ov1FTtyKLyZUHjjIihq7IuzQ9nLjFW3FFQb12JYsghTb22ce/1YCiqaGi6wi4r3MRU5K7UJYUXx+cvmJpKd7I1BesghBBS+A0RPLooZxLHLj2txjLz5obi7bjHlq9LCmcYwIAYSmS6xg+qCS5oXVuzj8r3VKNW1gt0Q0PNjAtlSGv63PD+8O9P/oOWEeLW1VV32Dc3fAx3WXKk6XBf5sLYAS0txsgcVyVuN/s1XkqhLGk11RdtTZ0eeAncQEkxAAAw5Tmt1lXVdySPXnoqfuTik0x13lrrqqrbMSvr5XomD8/97M3PoCxldd3c+nncZclDKMJkXV19J0IRJnFqoTf2esePdEnhqDx3DVOR28b1T7dHXj71fQAAsG2su1+aDvdxPZNHMJcl11RXuMm+tfFBhMAoJZEJYot+KNceQ0WVDFWTmYrcVYTbVgBRBOMHA6fY2oINpobibYsR9jiztA674n8U6XcU+z+x48uEz1akcVLSvKLsJoggOMQQTJwI9SjR1Aw/EDiJu635pobirYvq7IU+XZDTdJGvwbFr+cNUkb8RIhARhmfOombaSRf5G9VEJoSQOKNlru9np2XEuC7KGdxpznbsbP60ual0J1XgXWYYhi6MzHYIY/MXlHByWuPEONANHbUybrY6f625qXQnle+tVRYSk0xV/hpDVgQlngmSOa5KMttZBgAwqDx3NVOe0wohfOXDqC0xG+vxf3z7w1qKDy88d/zbQNdV319t/j5dktUsB+NjkZdP/0BL8RHrmpq7mcqcVXRJVrOpsXg7ytI2nReTme6JQ/EDnT/DvfZCutjfhDCkOfrGuR+LI3PnmNqCDXSRrz5++OIThqJKbHXeGvedax+j8tzVajwTJPz2YohfX3kFAABknrvKtXfll4Sx+Qvpc0OvISTByl3xA/JCYpLw2ArZ2oJ1qJl2ybPRofBzx76Fe2wFltXVd1N57mrURNuVaHpWno+O6pLKkbmuKtxpzpYCkQHCbclTY5l5fni2I9Xe95yuqKL/we3/bttQ91F+dO48RJEXr3ff00QlbRgAQE1X+cGZ09H9Z/5VnA73QQQihN9RZt/W+KBtbe0+Q1bFdOfom7b1tfeal5ftVmPpOWF0vjPTPX5QGJ07p8QWN3AIlzUHogimpoWYxssfIKwJEiHNVsSOIADVdaClElpUWUxJ/CPoumEgKDyTjKkRhwfPQlGAQgSikqDzkqBz9WtMW1EMYpcJEhSDODAAsLswH5fWEoax+Fs68EzsZ/kVVG1WAVHKmBBLx5H0a8FpaWzdbtu+UEAeP7Y/8bQs6RJGQNKXTxZj8zIh8gZ3OeEKGAAgCEBzisiKyLwyo8iGhBOQAACoAAAgCTqvyIaUVUCUDnXzZwAA8GptkUWDt9hR17KVpk2SqPOdxzJvqUslZoYBDIHT08EZecLmwryKostLxxfyy6jf1bSY1iuSLprtqFPk9bTDC/3ZhXTZeL/YNT0s9uIkQiEoRGVRV3AS2R8LqbNVzewalx/PURVDcfvxXKsDc188xR0yAAAYBnGChJTJithSMfW9UtNUTI2gGHzK6cWzggF5oqqZXW33YD5/AVna3Z45OHiBOxUMyOOZpJYAYLHsDMUgXtvGbkhG1fDchDwscHp6aewMWTLE+Sl51J9PFMuS/j8qFOJK+IsieDAb63Hd3Po53GXJEYZnOxCKYAFlW2QgAAAgAElEQVSKYIl3e55MHu99Rp6PjWI2k09NcmGUIS1EjquScVvzLpcOGJquLhp9FW8FECCE31ECSeyqiQAoTZo8+9Z9XJdkLvTUka/rsiqa6gs327c1fdKQZC7TM3kEQABt65fdS/rtJUo4FZBmo0NkjruSKc9ZyVTkrkQonI28ePKfUmeHXmbKsltjb3f+TBdlztRUugOiKG7bWHc/1z91AgBw6KrtYEirLspc/MjFJ/j+6Xbb+rr7qALPsuTJvueZspwWaSYyxPVPn8DsJp+ptmA95jRnQxTFEQo3Gaomh19o/44cjI2ZV5TfjJooe/rC2AHcZc0lPLYCNcWHxclQT+rM0CsIgVGLO98DL4mToR6mKm+N975N3yXz3TUQw0gpEO7HzLTT3FiyA3dbctOdo29paSFu39H8KWF4riP4m0Nf9t6z4e/tmxseECdCF8E1Fj0QxyiIIjhmZT2WlvJbyHxPjS5I6eibHT82RCWDMKSVLstuYcqyVzh2LP80xFBCHA9208X+BvPysl3AMABAEUznxHimZ/Ldyz4y8UNdv+J6p46Ree4q3GHOBhBAx47mT/GDgZMAgJGrtQfBMcK+rfEO3GPND/7qnUelmcggU5G70rqm5m5IYBTXO3mU659ut7ZW7mUqc1apcS4ozUYGyWxXOV3kb6AKvLUIibOpM4OvxN46/1O6yFefaO97To2l5+iy7BaIorh5RfnN/ECgHQDw0yu1wdB0RZcVHkCIkFmOMro8pxUSOLWkbFhHZDlL1Xg6SJdntxAeW4EwMncu9tb5n/LDsx2GogqLyW45rYTPXqwLUkpb8vSQ5qLD8usd/24oqoRaGJeWFuKGqivh37d/D6EIE5nrqtIEOS3NRAZtG+ruA5qups8OvZo4eumpyzsaEENxZNH4Un1/gtdl6KLM6bIievet/7YSz8wJI3PnYgc6fyYFwv365QQPAxgQhSjusRX4P7b1X+1bGj6mRFIBaTY6rGb4qLKQmDQUTaJLs5ab6go3c33TxwEAV9/1hxCiDGVTk9xC7K3zP9EyQtyxrfkTCENa40cu/sa6uvpOrn/6hDgRvEgVeuusq6vvRK2MGyIIhrKkVU1wofDzJ74DDEMzN5fu0iWF5wYCJ8lcVyVmYd1KJBXg+qdPcBfHD6MW1oWaaUfsQOfPlHBy2rq6+k7H9qZPYU5LNkKgpDQd7iP9jmK2On8dwBA8dWbwFbrEj5qaSnfGD3U9HnryyFe9H934Pevq6rsghn73mulJCEQwG+t17W37YvLUwO8RHKMsLeW34F5b4ZLy6oqLSoggiGVl5Wq2On+tODbfiZpoB12Rs9LQNJWI2ovZmvx1lrbKW4FhGGosPStOLvRogpTGnZZsMttZjloYZ+pU/4vSXGyE8DtKUIY0pzqG9qfPDb9u27jso1SRrwFcbdfSMHQlmBiHJM5ABKJKJBnAHaYs1Mw4DUWT7VsaPoaylN1QNVnLiHFIESzptOQAFMHURCbIVOatJrIcpeJE6GLmwshbwAA6meOq5PqmjiHkPGtZVXk7u6xgY6Z77B1whZQLfiBwShiaOaPLqkQVeBVdkjl5PjYWeurdr5O5rkrcbc3XphYuYTaTjy701Wm8lEwc7XkqdXrwJUPXdQghXCRWUcJQNOlK3g6YhXFmPXzTQ/zA9MmF5098ByEw2txcust1S9sXlEhqJn1u+HXMbvLZ1i27FzXTTiWSnNYlhafyPDWm+qIt5qbSXYauK6EnD31VnI7008W+hkz3+CFI4jRLkZtQM+N07Gz+tDAyew4A0HvV+fEHKK5hGg0AQF4ZVRMLKXOzE9KQJBr/R9UyS6q0LoQkhiCOU4aua4aiCMafwYz0LxWyqAtOH54TnVdmWAtqj4eUOVHQOdaC2mrbzJsoBjHHF6QgbUIt6IcwRr9RICiCQhSiuqLJAIBOjMYHJ94Y/jXtYrM1WRX5BX5GSUtxTdEU0ka5aBfjI0ykXYjwc5m51PjVNjwYC27b8qmiuwEAQJV0kbXjruBopo+LKxFPIVuRXBBnAaSgK48uBtchq68LCBGIQMS5u+URaSp0KdM9ftC6tmafqb54y+UwA0PVbngOkdnOMmAYOtc3dYyIporNK8pvBrquqPHMPF3sb8Sd5ixI4qyWFmLC6Px5YBgGQuIMMAydrSvcjJppJzCAQeQ4K5SF5FTy1MDv+f7pdtxlyaGKfI3STGQgfW74NdxlzXXubfsbpipvFe6x5oMbIHhQhjT7H9x+n5rgFtQkF/buW/dNqtjfiFCkOXWq/wVxeqEXIghqqJrC9U+32zfXP4AwpEWcCF2MvnnuJzovJYksZ5mpvmgLme0sF8aDF8LPt39HXohPLK6LrbnpcyOvC+PzXSxDWnGXJU8Ym7+QOtX/e+fuls+CGyAjIIQQIAjq2NLwMWkuNpzuGHrNsqrqdlNd0WbCZy9+73pchbBESIJx377qframYL08Hx/jBwInca+tEGFIS+bC2IHUqf4XpLnYiCEpAhaKTyjh5DTutuaZm0p3kjnOckPTVZ2XUumOof1LYSKUubFkB0ITJszKejCnOQcx0XaQFq453honJgxFk8zLy3YzVXlr5LnYcOxA58/S50ZeV8KJKV1WBUPVFKAb+hJBjaVOD74kz8dGXXvaHrVtqLtfCSen5HAqwPVPHZemw31MVd5qiCE4XZLVzNYWbMhcHD8ElspirjuuKIJaVlaupwq99emOoVetq6vuYCryVhF+e4k0He7l+6dP6KLMQQKjhOHZDrrY12heXnqTLipc/EDnz4WJUDdmZd3WVVV30OU5rUDXtfDLp3+QPjv0KlOZu8rcWLxNnAz1iBPBiwiBUcjy0psABDD09Lt/i1pZt+eutd8AN8AxoxTBuu9aex9C4nTkpZP/KM1EhzA76zWvKL/ZeUvr53VOTGa6xt/hR2Z/R+a4KuxbGx+ki3wNSiQVkOdiI2SBt5bw20sIv70ELJ4Qps+PvBF97ey/QQwlyCxnafJk3/OoiXJQxf4GiCIYamU8jh3LPy0Mz3UAACav1b7FCHPDABhKmBqKti4pdc6R2a4y3GMtJP2OYkjirBJKTJibS3cTXnuhMDLXkTo98FLyeO+zakaIQgTBMAvjwKys17K6agdmN/mUheSUzn1Q5V/fSq27/a+sn8VxSIiCwT33eOJfAQDHrto2zdAhAkfCs8qUAYABIUB0zVCDAXl8pEc4r6mGIvJ6BgAAQgF5/Mdfn30IIgDRNaBxqUUCovccd3z4It9B0gjDWlCbrhuaLBni7Lg8FA8rwctEBc2iz51/N/2GoRu6qgJVyGgpABajxUkaOTx8kT+ryoas60CXloydZdEQj76S+O3JN5MvYDjERV7nNM3QMAxesS2BMWnwu5+a2gsMYCiKIfNpPaXIiyVsgTFp4Lc/CH1NFnWh61j6wHskCQAgMCoNcCkt0bLFsgcnIKlrQDv/bvpNQwd6XhlZbbZRzu6T3EFDXySSlhLATtEsepEgIQ0ggIYBdF0zNIHTM4ZuGBSDvHzxVOawphmqIhsy+Ml/jftSgME0gsKZ3rPcUZyEJIJAVBJ1QeT1zPvTLbmUFv/3r8x8DCcgqUiGuGj8rHEAAJBJaonf/iD0NYHTM4MXuFMir3+oNLX/G/EXRfBQRb4GU33xNmAYhsZLyeTJ/he4/ukT0kxkEOi6Zqov2mxeXn4zle+p0TJCLHmy/4X4oe5fLSYS/NdCE6VJE+6x5ltWVt1OF/ubjMUIwQ8AIghiaipZZ2mt3LvwzNG/M1RNsSwvvcnzkXV/J83FRuZ+8u5jVKG33vORdX8HMZQI//7k99Lnhl/XFU2iS7KaEQo3kTmuCudNK/4/pipvdbK977n44YtPYHbWa24s2Z46M/gKAADaNiy717Zh2X2oiTqnZcQr7rgiDGkxFE1GcIz03L3uG5a2yluFoZmzTFlOq7m5dCeZ7axgawrWaZyYzHSPH0yeGnhRS/ERhMJN9i0NDzhvaf2CXVQ4wm3NT7b3PQcAMAACEUhgdPi5E3/PDwVOW9fV3mNuLts19+PXH5LmosO2dbX3OrY1PcSPzHbEDnT+HEAIqRxXpXlF2W7CZy+WZiKDajQ9S+W7q3VBTnM944fFyYWe5Mn+5333bfpeqib/iru9740vimCQwCjr2pp9CEvZoq+d/aEuKQJmYdyY3eRHaMKEuyy5THXeWpQhrQBFMKYyd2W6c+RNcTzUrYtyhqnMXWWqK9xkXV11J9ANLXNp8l05mBin8jw1to11H4UQIOLSjdm2oe6jCIl/V5eUK7qikzmuCseO5k+lTvb/XommZpjK3JXefRu+jTCkZfbfXrkfQIh679v0XcJrK4gd6Px58njv75RYep4u8jVgdpMPtTAu564Vn6FLsppQlrImjvc+gxAYbWkpv0UYmTsXfvHkP9o31f2VbX3tvbjT/IoSvYLhrqaphqTwwFiUKpM5rnLUwjgxE+0wNE0RhmbOkHnuatxpyQ797uj/kmejg2SBZ5n7tlVfBoah65LCs5V5q8nsRZm6Gs/MAwDA0q6IBgAAmIXRDVWTpJnwDJnrriLz3FXiRKgHNVMOMttVgbut+YZu6NJMZPD9ctUl87mr1idrGTHO9U0dkwKRgfT5kTekmcjA1UgMiCIDqY7h1+iynBXp8yNvpDqG95NZjlK+P9Cupfio74EtP2Cq8tcgFG4C1yB4IAQQYUmLzksp3G3N93xk3d9RBb46rm/qOFtbsMFUV7QZs7Fec3PJTjXOhVLnh18Xx4IXNE5M4g5zlmPn8k979q3/JsQQHCEJNnG057fAMAyEIlldUvj5X73zqByMj7v2tH0Bd1vz5n702kO6pHDO3S2fMzUUb02eHnhRno0OQQKj6EJfvaWt4lbMZvJzfVPHtLQQpQp8dfJsdEgYnT+vxjMh08WCQ7a1NR9JdwztBwB0X61fKE1aIETQTPf4oVR73wuoiXbEeSlpaanYg7Kk7WrJcAhDWCwrynbDpRhbORQbV4cCp/mhmTMoTZrtO5o/qSW5cOLdnie5wZlTSjg5bciKiNlMXlND0VbXLW2fJ3yO4ssJeoZu6Fqaj2YuThxGrYzbVFOwAQDw5pXOrYtyhh+aOS1OLfSal5ftpouzmvjhuQ41mppllxVuxB2WbDkUH1945tg35VB8HGIoiTnMflNd4Wb3HWseM1RNjrxy+geGpqvmFRU3E25Lfqpj+FVpLjbK1uSvgyiKs7WFG1AT7QRXIHg+YI6o65qh6oo0Gx00NRZvR020XZ6LjuBuax6Z667GbKxHTfFReS42cnmOL+3ESkuvP55rGIo7tjfvI7NdldFXz/wQpQmzdU313c7dLY+kO0ffXHjm2N/ZN9c/4Lyl9fNyKD4e/M2hL/G9U8chvmhADgCAbE3BOtu6mn1MVf7qTPfEwfjYfCeZ46ygffbm2JvnfmyIcsaysvI2S2vFHoTAR280WWv4It/hzSEK3Vl4nr+ALFm20rxprJfv9OaSx0IB6bp+aH9WGMDAs9yVuN9TqQtiCvd7etRwbMxQ1Q/tbfCXjqlB8eKl05l3NdWQ19/quF/g9BREIFJUTTeKgp5JxdVINKTMRLr4QCap/lkVTAiGYMV7Kh7URI1HSey5pRQZhV/gZjJz6Q8kzplyLEW1DzV/0ZxrLRPC3IwYFULhnlA7gqNv68ofm4oWNNjazC7Cqym6HJkWRt/4l5GvJhekOcaC29ruzPmEphhycbNtbWJeDIA/keBBSIyGKIKrC4nJ+OGLTwgjc+eZsqzluiCnmeq8NXRJVrMhyje00JbnoiPh549/B7OaPPatDQ9Shb56aXqhN901fgCzMG7z8rLdkMBoXZQz4eeOfyvdOfKGoRs6QpNm3G7yM5W5K61ra/YRPnsRPxg4HX3t7A8Jr63QfduqL5O57qpM19g74mToImqiHUxN/jqUIliDAixbU7AeAHDhWm2DGIpbV1ffbGoo3qbGM0HUzLiEsflOgCCoLsoZLS3Ecac5GxIYbW4s3UGX+JsAimA6L6Xk+diozkkJwzB0ORgblWateWSOq4Lw2YsxG+OR56MjaoqPRvef+aEwOn/etqHuo+bmkl2pjuFX02cHX0UZygoJjNLSwnXnICQwGmIIrib5SOJoz1Ncz8RhqtBXb0gKT5dltzCVuat0SeGuVsqCuy251jU1dy+W8egqwpCW1OnBlzIXxw/L87ERQ9M1hMRp+5aGB+jynDaqwFOLWVlPpnP0rcjLp3+w5NsXer+SAyIIgpooO+GzF1laK/Y6di7/DLhOOqouK4KW4WN8LD2XPNH7bObixOFrJTEuEdQRpjz7Teuamo8gFMEuvHDiO8Lw7Fmq0FcvDM91JI5c/A1mZ715X7nzJaYipxVhKSu4QYKH8NgKnDuaP4WylBX32ArEiVA3QhKsEk5OK5FkADXTLoijJF2avcLcWLwdYSkb0HRFWUhMKvHMPNB0VUvzUWE82EXmeWpwtyWXynVXJRVVghiKp04NvJTuGnub8DuKnTuaPqUm+XDwiUNfkoOxMefu1s8amq5eb8wAAICpzF1lWVl5a+yt8z+V5mIjEIWYY2vjQ87dLY/wQ7Nng4+/8wUllp53bG/6pHN3yyO6KGcWnm//TqZr9G1dVHjz8tJdpvribTovJahifxNd5GtAKcKkpRcDP7jeqaMIiTGYZBKUaHoGITDa0lq5lynLbjGvKNsNAPiPa17XxTIuAxiGDjRdQVnKRua6Kw1ZFSGAQJqLjRiqJlP5nlrUyrgjL5/+QeJw968RlrJZV1ffiXttBRBBMI2XkoTHWsDWFKxHGdLCLSQm1UULhfdgMiM2BAHI5Kjcb7Ygtopasglcg+ABYLHsFPzxGkIFf7COVRdJiT9K110iI/il1/vf/8DzgsBpHLhKnLsk6AK4QvrT0hrnj753tbaoiq6AqxBuS+9dJsQ+0F99cZ7NAgB+fKXvXg3X6pPI65fH5KpYGrs0uMZvUl+8PlcMVFpq92V14H87HRFFIYJi8D0jegQBiCIbsvanetb9b8BfDMGD4Bjh3L2iBmEIM9c3fTx+sOtxrnfqmMaLKYhABHNasq3rl91raanYk+4Y2r/w7PFvyfOx0SvdiJZqPftQlpoRJ4IXr/Q53GnOdu5c/jBqYdymZYUbzcvLboIIRPnBmVOZixOHMac523P3uv9lyKo4//O3H+EHptuXdtIAWFLjICROG6omuW5d+WX71qYH+f7pdraucJMcjI9Rua4qlCHMaiQ1Y6op2EAX+ZuuVtaEMqTV0HSFKvI3oixlix3o/IUSjI/psirQxb5GMttZnrk4fjj6esd/CEOzZzROTBi6rkMUQcTpcK//ga3/TBX7GpPHe5/leiYOMzX561Ez7eQHAic0QUoxVflrXLtbPytMBLs1TkxYWiv2mpeX3bTw7LFvcn1Tx96LjKYIJnGi9xnn7pbPmptKdjp2Nj+cPj/yRvLYpadRE+0wryi7WZxauCRHUgHLqqo7IAJfvlZZFEQQVEvx4fg7F34pz8VGIYYSOi8lUQvjoov9TYTfUSLPxoapfG8tRBAs9vb5/4y8euafNU5MAsPQkyd6n6UKvfXOm1s/x9YUrFfCyWmdExNMeU5rumNoPz88exYiCEb4HcW2tTX7Uif7XwAA9PzR3CJx2v+xbZ8mvPZCKt9T7furLd9HcJSQQ/EJcTLUrcuq5Htg6z/jTnN26KkjjyVPDfxeF9/zkzgFwKJ5npbkw74Ht/+b86YVn4UQoqbmkp0aJ8YNVZMxO+tToukZMs9dY24uuwmiyOOG9sE5Z2i6oksKryYyodBvj3wVITCaKslqFoZmznCXJo9aWipuMQxDj77e8R+GJHOee9Z/GxjASJ7ofZYfDJzSZVVIHu99BvfYCnRJ5q5Y02wYui4qPF3oq8OsrFucWuhVY+k5jRPjbE3BOpQhLQAYhqFq1/RQ+kNI87HR4K8OPqoLUvp6/kuGpuvWlZWzhqqpi6VcnhpDVgRD0aTYgc6fixOhi9Z1tfsIty0PAHCN5A8IUYay6pLCsTUF63ReSsUOdP5cDsbGEJJg1EQmhNlN/vjhi7+KH+z6lTQd7tMFKW0YhoHgi95Gvge2/AB3mLMir5z+F2kuOmRuKb/FUDRJGJw5DQAwltIsbkt3DL9maLpi39r4IJnnqZ7/5dufFSdCF3VJESACYZIizMmT/S+4b1/1FarI30RmOUrjh7p/xfVOHqVyXFVGtrMifWHsgHl52W7z8rJdEMKLV5N3oybabhiGjpA4TeS4ysXxYLeWEaJwVfWdmiCngXHlhRqV762lCn31fN/UCTXBBakibz3htReReZ5q3GHy84MzZ8IvnPiONBsb/gMfoCkER59AaNLs3LXi/1tShInyfGyU659uB5qu6KLC0SX+ZgRHiff9z73/mqqYhXHb1lTfrYkKF9l/5oekz17E1OSvwz3WfAABTBzvfSbZ3vvs5YdKCCHMdI0dkOeiw85b2r7g2Ln8YZ0TE/JCcip9bvg1YBjA1FC8lfDaCtUkt4DZWA/hd5SA63iWGZquGrIimGoLNmq8lOT6po4rkVQAAADMTSU7IY5RwAD6h1EGUIXeZY4dTZ9EGdK6SMjTDohAJNM19k7q7OCr7LKCjY5dKz4jjAW7Fp4+8nVxaqH3fQ8pry5eV+pdiKOkta3iVnFyoVfLCHGmIqdNHJvvpAu99QCBqBrPBC0rq25Ptvc9DwAYvpG2TQ0JvTiJjHiyify2bdZb80qpalcWnltWx6xw+oi/jwblPy3OegkQQghJgoEEzkIEQXVeiL+fhELNrNOya/0j9LKyHXqGjxqarpoZ2sp39r6MmpgntAz/PyqRIjwnT/d1ZI61bbfdhqIQQxAVFteamykaYbuOp99ORJSQoQEtMCL0Li26/3yAEFJ22mMvdzWmA8kRwkq6zLnWUiUjJ+zlrk5uNjUuZ+QUgiKos9aTxXjYHG4uNW7oQNdkTay6r+4rUkIIAwDO/OGh3QVMOWvDnWdemP1FcIwbCI1zgwAAABGYToWleV+ZqUZVDFlIKX/S9YQIhJa2SieAEHKXpo5pnJig8t3V/MjcuVTH8P6cQm+dIauCrtzYvcjQDc3cVLqDXVa4ScsIsfBzx7+pCVLasqL8ZqY8pw21MC4IIZLpHj+YONH7rJr4QKpUD0Lix/mBwCn/x7f9kC701fke2PovEEJETXKhVMfQa/JsdIjw2Arpkqwm1MK4lVhmHneZc+hif9M1+4mhmLWt8lb3Hau/rkTTs+Hnjn+b6506BgxDR82UA2EoK+4wZzMVOW10SVYT5jBlAQSi0tRCb+jpd/9WGJnr0DJC3FA02TAMA7Oxb0jTC73O3S2fo0uymtPnR96I7j/7Q9RCOx07mj5F+p0l0VfP/IsSTc3QpdnLqTx3De4wZ6lx7rom36iJdgIIEX4wcFKNpmepQm/9Yonz0P6sh3f/wlA06Vpx23SRrwGzMm5DVgR5LjocP9j1OD8w3a4JiyQdRCAkvPZs+7amT9DF/iZpNjIUevLw19Kdo29q3JU3OJfW5lEAQBSzMGNaWoiiFtpl6Fcv51GCifHZf9v/17qkcGqSC99oyau8kJxSE5kQXZq93FRTsN7aVnmboemKHE5OA0WTE0d7npRDiQkyx1WB201+AMA1zYGXErMqPPdu+Abhd5bGDlz4eeJQ16/VJBdCWcqOMKQFs7JuMs9dzVbnryP9jlKEIlidExOR/Wd/mDzR+4wazwR1cZFUQwiM5AdnTvv+esv36dKsZoSlrKlTAy9CHCVNDcXbrGtr7s50jr6d7hx5E3fb8q1tlbcxZdkthqYpxlXWDZeBOy1Z2Q/vegRlSAvEMdK6uvouusjXQHhthenzI2+kz4+8qaWFmPOmFY84d7c8okZTM8EnDv0NPzB98r17OoY+nT47vN/QdJXwWgs89236Lludv86+uf6B0NPvPoaylI0uzVqBWRinMB7sEkbmzqEW1k347MXWNdV3407LS9dKNNZFOQ0MAISRufMLzxz9BsRQwtRYugOzm3yxt8//pzAevOC6deWXcYc5O36o6/HEuxefNDWV7nRsbXzQUDU5fX749fSF0be1lBABECC4y5rLVOaulKYWerXMBwlQRQaS2YraZ6eEsaxcrJAxIf/jPVn+H/40IAhEmlbRGxta6Q1cRk8yDDSX1pANrz+b+iVE4Kv/HWP2/534iyF4II6ShM9RovFScuGpI49xA4FTEEEQwmsvsK1fthazsV4qz1MrToYuhZ468pgcSkxe75hLN5RXrvSedU31XUxV7mo1mprVRJkzklyYqc5fgztMWUokNUvmuasxC+Oa+883P53pmThypWMsKVJ+Y2mt2OvY0vBx+5b6j6nxTFAvy26R52OjqY6h/Zmu8XeyP3vLry0tFbcs+T78EYOJsKTF0HQ1ebLvBV2QUpbWir2ohXEJXWMHMj2TR4gsZ1n87c6fZTpH33r/Q+MSgXDW3FD8rayHd//cvKJ8t7m5bJea4iOp0wMvAghRusjXSOa6KxPHLz0Tf7vzPyGGELb1tffGD3Y9nuoYeu0D/VkkNbowG/s3QNc169rafebm0p1qggthVsaN2U2+2R+99iDfO3mULs9pQ82ME1yBGQZgyQQvIyZSpwdfFCdC3Yau64Tb6jY1l+6ytFbsZUqzlsuhxCTuNGdBHCVjb5z7UfjFk/9wmWxaQhQAcJjw2Eb8D277N+vKytutq6ruUBOZkDQbG7a0VuzBvbaiy+UXdHl2G0SQ3j8k80x1hZvNLeW3aGk+qvFyWo2n5+my7BWk31FqqJoEdMOgC73LFp478ffJ9r7nrkRgGKqmojTxDtc19o517f/P3nvH13XcV+Izc3t5veLhofdKgABBgr1KLCIlWdWyVWzFjuW29jpl43XixEl+KeskTrz+2bITl7hJLrKsLqqRFDsJEiRRiEp0PLxeb7939rmsBw8AACAASURBVA+AikSBJGR7N97P+vz73pt7Z957c2fOfM85ze8Xmsu2WLKaNdJS1MgUormzw89lT1z+eejj+x63dzfctWQi/A5WHlsY++7eWEAsLbh2tf+eOhMfTL549uvK2Pw5SCLSUvRC4sUzX6fctlDRR3b/i57MzUa+/crnlkkJG1tuzJeuYVmqXkAi545+7bmPqrOJYcempvtcu9ofJW28FxKIxBa2ILMy34O39V8H1/mur/N+zZK1bKFv8rA6HRuAJEGp07FBeTxyji0PtCCKYJckQWev2wgEiBAYp6VohcTzp79G2nnPomaddRYuTbzBVRd1EiLrSj536qvylYV3EHtLJMWznr1rwsFHdv6965bVH4EkQWnzybHsyctPIZ62CcVlW5iwtzH57Kl/Sb124Tt00FUltlXuinz31T+UR+feOrFdmrSzAIA36CLXZPEn9n9LaCrbbO9uuAvrpsouJULNPf7Cp7RIaowJe68ahy5rKog4WkQUyZBeewkddFWRdt5H2nkfWxFYVeifPLxcBQ8kEBH88C13ySOzZxLPnv5nvr5kg5HJR9Xp+ABXF+5mij31uVNDTwMLm0yRq4oNv9OOgQ64gJHIzUKa5FzbWx/Knh5+hrBxbjrkqTVSuTmuMtBGee1h0usIAwDelRpD8IwD0iSbeOns15mwr8GxofEeYGHTKqiZq8kU8tDMKfw2z46luSpOiNzX+YbSDVxVUcfCU8f/XhmP9HpvX/sZsb3qVj2Wndaj6QnSJQQgRbBMibceALDsfPtWu6ZlWJohQwTR7Fef+TAkCca5rfUhx+aW9yOGXPSPQJCADLUi00lEk0zR7+3+CBPy1Mpj8z1mQU0DDCy+IbwB0RSvTscH2epQh1WQ09EfvvEFeTxyYbl2zLyS4SqCj9vaq27137fpCwBBQl9IX+GqilbLo3Nnsycv/0Iem+8JPLjjb2yrq3eDFRI8FI3osnq2paaF7/QVU2WsgASMsSXxhAjflqLx64LvbLmLbajajnjWCRmaz7124msQoVexZWFIkYx9x/pHxI0dj8h9wy/LF4depAKeaiTwbqambD2kSBYx9FcsVfvNEh3/ibBMbNEsOgghgOX1XGtVC985N64O1a0W1mMLWLmUGU9F9fnkgv6ezVhvfnFsSQuF6aL1JXvL99U8HL+4cMzUTNle5qz3d4S2xy9GjvF+4ZcES2YJiqANSc8RLMWzLs4PEYD5uex48aay2xGJzlrX+Oik55UpABZPNBmOEAQn5ZayRsoT5ioqOpwbGZ4QCyk9lo4oyxqerxgQQkLknAAAILZX3qLNJ0fkK5FettTXTHXU7GVK/c2WoknAXJnPDx10Vcqjc2diPz36/1mKmrN3N7zPtqb2gJ7ITquR1BjH0SIgCUYZne8xlwII3jGki9W9L3vv6P5W8KEdf4soko0+efhL2dPDv2TLA62e27o+TXnsYT2endHmEyOUz1lG+eyldNBVSXC0aMrasvM57XeW++/f8kVAImrh+y99vrAk7WfL/M1iW+UtXF14HSQQpUwsXMievPxL92J6Fo7+6NAXc2dHX7jWlN9IF2KIJv+Z8jlK+fqS9aTbXmxJSsZ398bPUx57ceR7r/6xNpcYJuy8V51JDJkZKW7rqtu/EkKbEFknABCKzeVbtbnkSKF/8k26yF0tNJdt4aqKVmPNUG7UDlPia1gyiH5u7vEXP2mk82+RaKRD8NnX1W8S26p2McWeWjNbiEV/+MYXsicv3/Ag8B19z0pJAMA/AAAA+N7137cksb3uOuh6wIvSLRUiiNjqUGe+Z/RFIyfFaZ+jTBqZO2NKaladjg+ylcF2tjK4GtwoNAMAgBhKcO/pfMzeVXcg8eypf47/4viXLUUrkE7BL7RWbBNbK3aQbltIT2Rn8hevvGYpWp4pD7Sm37j0/cSzp75yzXoXWJqhQoTeiP740J8HHtzxN3x9SXfmSN8TtrV1t/vu3vgniWdO/lP68KUfQopkIZVnjFR+ng55arjqoo4bVfAgmmI9B9Y+yDeWbdIiqTE64KygA85KxNEiIXJuOuSpsVRdNvNy0rN3zcetgpKZ/9eDn5UGp469Y8+xuA68SpRc5GuL/4L5zB3/7tjc8n5sWjrlsZcACJE6Fb1k66y5jS3ztyhTsT55ZPY0U+ZvsXVU74EI/tv1fg9YNSRsmhph5z1Ca8UOrjrUme8dfyX2kyN/pSdz85TXXlzoHX81/frFfy/0TRxybm39oP+BrV/Knx15PvbUsb9Xp2P917Q9AQB4c7lrKbIlWSYwaxrpttJKqu7iGWXZ9/0Ov8NVkBSgVnWxW1Jxc2FmUh9d3c1tY1jEt3Zxm04ekl4E16kQ/8/Cbw/BQyCSdIlBbS45auTkJGIozr6+4TbH+oa7C32Th9T51Cg2TDX9Wu+3V0Lu3AhM2FsX/vSBO9Wp+ECuZ+QF0ikE2Ipgm3IlciH18uy3SJcYcO/ufCxztP8nSzrc68LISknfXRue5+uK10EIETYtI3t88OeWpkv27oY7KZcYwrqpie2Vt8SfPflPYDmCh6VFxFCcc2PzfXSRq0pP5ubNrBTz37/li1xVUYcyEx8sXJ4+dr2KgELf5OHEs6f+OfCBbX9pZAux2JNHvkT5HWX2tXW3m1kprkzF+q9KDizdVAiedUiLFQzL9yldiNlWVz1p66jZq0xG+7RIcnSxoqb/CUvR89gwdUJknUyxpw5cZ9OvXFm4YKTzEUvVZSbsqffduX5v6LF9W5kSXyNp5316Or+AdUOBDMXrscxk5mj/k9c+7K5Cj2WmE8+d/uriplaKZo5c+hFbGWynvPZSS9ELeiwzSfsd5UJL+db0axe+AwB4a4FCOkV/6GN7HrLySip78vLTgEQkWxFsM9L5hezJy09j09I9e9d8UhqcPp55s++JG1WnmLJWcHQ3PGfrqj1A2gWvJWu5/IXxV/VYZpKrCa1ZKv0V+Ybw+qVKhHct/C1Fy0MECUtWs8kXzvz/eiI7Qzh4H4QQmgUlJbSUb/McWPsZCACIPXHkS+8lAh4AAK5KuSCJKKG1Yodz26qHAMY4d2r4Gbbc38qWB1pJj62Y4GjxPbV7DRBL87TPUcaW+ZvpsLeBLQ+0AIyxmZXiRlaK2dbWFyOGEtiKwCrCIfhypwafNhUtT7ltxUamELN0Q6H8zvIbXgTCxf8GR4ue29Z+iilyVamziSFEUaztw7X/wFUVrc4cG/iZFkldd6GXOdr/JFPqb3btantUGYuciz99/MtcdahTaCrboszEB+Wx+bOEwDodm5reTxe5q8ycnFSuIYveDm0+Ne7Z1/WU0Fi6SRqeOWmk81F1lhzOHBv4KaRIGmuGQgec5UsRuKPLdosiWEvVpNyZ4efy58ZeJmycy72742OIoXhL0QrLVfDQfmc5X1u8lrDzXspjD+f7Jg9lTw3/EjGUIC7OH6znzu4/xIpeAFe5FYxNSJMcRIiACBGEnfOSNs4FFqWjD5npQlSZiF7URNalTMX6KZ+zjHLbQmAZggebliEPz56x8kqKdAh+eWy+hysPrCJdYvBqfBBh5z0AQQiuMQMw83Lavrbum6HH9n0dYGwBBKCl6FL25NDTiGfsbHmg1UhLMZqhRabYW3+9sX8LlmVgzZAJpxB0bGy6nynxNVqKlssc6/8JX1PcBQlEQgKRSxLAm4KvC6+76rkgDUwfo0PuatIpBvO9V15VJiIX2PJAq9hWsWvhu6/+kTK5cOlGbWkLqfH8hSuvum9Z/RFsmoal6IXM0b4nIUPx7t0dv0/YeS/A2BQ7a/Yihvrmcn5X12Ljbc77mtYIm21OwpPPmqmeQ9kXRy9JZ68MKr3xeW1F8bMrgbCx4xHEMQ5gmJopK2l9LjqILQsDAADl91QJ3W0PmLlCTLsycwZACAEG2EhlZqyCnBK3dn1EHZs6ASE8/F5j4H+boSmWghB8duhc4bjLRxUhAhJHn0s9kU0asXTMiEh5c0USjl8Fpm6qiCIYe6mzPnJy5mVLt/TofG7S3ehbIwRtpaH1pftivZEjgc7QDke1u1VNKbGB757/a8bJ+QJdoZ2eRn/XUnT2OwiE0dOpQyUtji5nkC0pa3WsdYe5CoABJhnEii7KO3Y2fWSmP3suF9d+3dh3iJYOEixZy3JVRR2U31Gmx7MzlN9RjlhaMHNSYqXRxUY6v5B6tfc7TLGnzrtn/ceAha30oYvfp4vc1WyZvwUgSGDD1ExFy4EbhJplT1x+atHzzFVR6Js8jCiS9ezp/DhT5K7WFqUcUbbE20B5HaXYMDVC5NxUwFUBAFj2v8+WB1ohQ/Kpl889Lg3NnKCDrirHxsZ7KL+z3EjkZpWx+XPYwmahf/KI2FK+lXSJoYXvvfbH2bMjz18vcXHJa+zx8Gfu+J7QVLpJujx9nHSJQcrvLC/+xG3fNPNK2kjnI0ZWigEAIWnnfeps4qaEMWIpAUIATEnNMmFvPekQ/HosM0W6xAASGIelGQq+QUXVom8SBvne8VfM7KLkhQm5qx2bmu8PPrKzShqcPioNzZy0dVTvSx/tfyJ3buzl/5On2otViBSPOFpENMVDEpEQIQJjbGHDMkiXSEICkfLEwsXUyz3fpLz2MCFy7szR/ifVmfgQtrChLaTGIULEYprajYF41sFWFa2Wh2dPJw+e+xYkCcqxqenewIM7brEKSlqdT44spt3On7ckLccfWPfZzNG+J2JPHfu76613sWVZiKEOiqsqd9q7ag/kz4+9QvkcpYgmOffujo85t7Y+aKTzESNdiJoFJc1WBFZhwzKuV/kLAABMqbfRfcvqjwIAgJEpREm3LQQBgIRD8FFusUiPZ6cLfZOHbB01exHP2KM/WbR2uNlcLo9HzmdPDz3juW3tp917Oh+DECKzoGTYcn+LNDh9dOGHb3xBi2YmxbbKXWxl0Wr72rrbc2eGnwUAXC+IxLRkLU/7neVCc/nW2E+O/GX+wpXXrlov6PHsLCTQ4wTPOh0bGu/13tH9OWlg6s2FHx/6ohZJvSe58kCvcuofvhB7jGEhhwhIxOaNma//7Xtp4Xf4fw0YA2yZwLjrEcenZqf08dNHpJeJQXDB7kBumoYM+B3Bcx0gRCyWxSPCvqb2tvzFK6+zJb7G3Lmxl+iAs0JoLttK2HhvoX/y12JZIUmQnj2dtzKl/mYtkhp3bGq6T52MXsqdG30BEoi2ddXuF1ortkOSoOSx+Z6riTc3gjQ4dRTrpgYghMp45BxYdHyvBgDAzNGBJ5mwp96xsek+rjq0BiyjeYQ0yZJuMUR6xFDmzb4nAIFIpshdgzjaRth5r3IlcsFIv1M/+nZYuqGSDuH7dMBZ4djS8oD/A1v/EmuGrEwsXNTj2Wm21NdICKwrd3bkeef2VY/II7OnLUm9YQKLNp8atzRd5uvD3aRTDGRPDv4CCazTuaXlA7a1dQdIpxhcIniOLfd5PZWbs3RTpQLOCltnzV7CxnuVyWifPDrfY0pKRh6ePS22V93ClgdaEU1x6AYVJRhjTPscI+pUrJ+rD3e7d3d8TItmJnNnR543UvmIPB4559zW+jBXHlhF2DkvWIrfhhBCsa2y7WoKkq2rdr8ez05Lg1NHLVWXuKqi1bau2gMEx9jzPaMv6sllfHOugTQ8e2axhJj3KJPRS5asZumQuxaxtFi4cOU1yzDVwAe3/TVfH+6GBDp+bemwpegFSzdV0rXoEaPHMlN6Kj8PAQZsZdFqe1ftftJjL44/dfx/qPPJ65pGXxcYW1jVCohlxMUY7wv//laaz8+Gn3Nsarrfs7frk4hnfuVyVNrvLPPd2f0IW1W02kjkZpHAOiGB6PShi9/XFxPXqim3rRgQiGTL/M1GVopzVaFOvrFsszQ4fVSPZ6exakikg/ff5FIQ0iTHhDy18sjc2eTB8/9KOngf5XeUk04xAAlEySNzp6+Why8HIyslmSL3P1JuMcQ3lm4MPrzz742cnFCuRHrNgprm68LdZl5JGcn8vNBcvjX1yrl/vVnMuTaXGMYYW/Z19XcyYV9D9sTgU3TAWW7rqN7D1RZ3YQtb5GJ59/IED0IENi1Dm0uOMMWeWqGtcidWDdnMy0ms6MsTPCF3DeVzlBE2zo0NU7N11uwTW8u367HstBZLT8afPvGP6lSs38gUogBBgg66Ko10YcGxvuFuPZmbgxAhoa1iZ6G/702sG/Kiqbe7hkUQYYwttjzQSjqFAGnnfct2GmMLW5ZhSmoWUgTj2NB4L4QQatH0BOngfQBjLK6q2Jl5s/9JAMC7SAtpaPakPDp31rWr/dH40yf+0UgXInxT6WaIEJE7O/w8VxFsY0LuGtJjK4YIoRvFmS5JHWVC5N0AApg6eO5bV1NEFk4OPe27b9Of8bXFXSshMRFDsUUf3nUv6RB8ZkFJOzY13Sddnj6ePzfyIuIYm2tH+4e42uK1wLJMeXT+7M2kAFcTvVy72h41JTUjjcyeIUTORXpsxWZBzWSPX37KvqHhbrrIXc2U+BrBTbw9AADAG6RKklF97vjLmZ+P9Eqn5YKZtUxgWr/BjROiKdb36YcobWL2DFNRslY+2fu8kUy/RR6xzbW3mLlCTB2dOoF1QyGdthDWdYUuDjSrY9OnEEPb2Iaq7dr49GlwEy39bysQgpDhkMBwiCcpSEMEEEFA0h+mASIAIeWtjKFj3TQsbUlzb7A84ikaMVLOzJjmzT0w3gtIlhQAxhbBEKxQZCsnGJJnnKyX4ikRIEhI0fy0WGyrtJU567Wsmoqcmnk5en7+UPHGsgOuGk+bqVvqckRHIa0lfeXCvwarhebyNke3ZWIzPa9MYQysvJPyQgDg2NnUYWsFnh43BoSQIhgAAMifHzuYfPHs182CkhHbqnY5NjbdhxhK0OP69M3m26vApmVg3VCly9PHjXRhgasrXuva2vogIBCpx7PThMi5CIF12jqq9+ZODf0SXEfqqcezM5k3+5/0P7D1L+zdDXfGf37s7xd+dOiLTMhdw1WHOvmGkg16MjcnDc2esnVU70E8Y6cXDyPeRfBAAhH+eze3WLKWTR/t/wlEiCTsvDd7evgZPZ6dYYo9da4dqx4BEEIjlY84t696JH9x4rVcz8jz7/AVWwbafHI0d3bkBceGxntyPaMvzn3jhY+Lqyp3+u7a8N/YimCbpWh5S9UlACGkHEIAa8ZNq+euJi1JA1NH4s+c/Gc9kZ0Rmsu3+NbU7CN4xqHnFyXny36WQETpn9znNXNyclFuF2glBHYi8OD2z5IOwZ8+dOkHZlaKe/Z3fdpUtHzmzf4nrRX6K/26gBBC0in47d31G5gSXyMkCZpvKNlAee0l6lSsT51LjFiSmkEMJRB23seEPDXs7936FXl0/mzuzPCzfF24W1hVuTN7fOBneiwzBSBEpMtWdLPrkg7Bx4TcNQs/PPRnRiofoQOuSj2amVz4/uufRzTJOjY23ccUe+qNZG6eX1fyPkgiKvni2a/riewNZbWWqit8Q+kToY/u/ipXE1qTfPHsN6SBqaPuvWs+4VjfcJelaAVL1QtYN1TCxnvMrBTHFl7eExEhFPzwLQ8SAuvMnrz8C20+OQopkiXtvFedTQwV+icP69H0hK2zZp99Y+O98ujc2dyZ4WdXInvDhmnw9SVPO7evephyioGr65r0kUs/NAtqhq0Mtvvu2/ynAACIdUPhG0s30iFPDbgewWNZhiVrecwzjvy5sZfU2cQw5bWXcOUBBrK0gBhKsHfV2cWO6r327ob3Yc2Qky/1PP5eyR0AACjkrCxYxtLhd/gdrgeMgaXrWE/GzYULp+TD4TKqurKObknFzQWSgvR/9v1di98aggciSCCetlkFJaNMLFyACCLIkDxXGWzXY5kpSJOsHk1dsWRtWdZ7pSB4xsE3lW4CGGN5ePZU9szws5as5Ug75+Xqwusotz0EF43xCuY1ruvXg57IzWjR9BXSJRYpU9F+SJHMUkTwScplK2LKAi2QIhmhsXQTRPBn155oIIpk9YX0ROqlnm9yDSXrlx7oL6gziSGuprjLUpYvDX47jEwhTjrFv6ICzgq+JrQmdWLw5wAsnmbkekZeLPRNHhZbKrYzJd6G1MFz37T06+usAQDAyEpRS9ULFEuXGYnsjJEuLLBlvmbb6po9EEIC0SRLF3vqruvZYVg6JBDJ14XXySNzZ4xkbl4em+8xslKMtPM+saN6t31N7QHIUJwez87oyfwNH3hmQc1o0fQVtrqoI987/srVEyhuKU5dj2enab+zlKsKdYAlggcQiOSbyjYjimS1mfhQ+tCl7xs5OUHwjIOtCKyi/M5yCBGBTUs3MoUbeMG87T5yckKdTQzRIXeNMhXtxxa2sGHp+XNjLy/ppG/BhqkJzeVbE8+d/iq4xgwNa7oMTEtXZ+KDhYtXXucbSzdxlcHV6mzisjwyd4YUObd9Y+M92kLqynvxEHmrfQywpZkqABggmuIcm5sfKPRPHpHH5s/x9SUbhNaK7QACSDqEm5Er7wIkCUpoKNlQ/Mn9nyfsvFeLpMboYk89IbCOxPOnv8oUe2pdO9s+zIR99YgmOWyYWvL1C99LvXLuW5as5Smfo3QpIp7FhqkTNyOZIICQplh5ZO5M9tjATx2bm9/PVYc6M8cGfqrHMlOU2xZayQJSnU+OcZXBvyj+1IF/IwTGkTsz/Cwhcm4AFskBZXyh17Wr7cOU2xaSxyPnb9aenspHsGHpiCJZPZIcsyQ1KzSXbRWay7diw9RJpxig/Y4yiNCx5YgKbFo64hjRvafzMUSTbO7syAsAQsg3lm6yVK2wnESL8jpKCBvnxpqhkHbeRwisS5tPDlu6LgMMrORLPd80krk5yu8ss3VW76W8jhIzr6QBgECbT40pVyLn9VRunhBZF1PsrUM8YwcQItJtC/EkQVmylkcMxSOecSzXZ2xhk/I5Sj23rf00HXRV5c6OPA9JggKWZaoz8UHH5ub367HM1PU2a2ZOSuTOjjwffGjn33r2dH4sc2LwqeRLPY9TXkeJ0BBeDxmKl69EeiFJ0IilRbAoiVsW2MQmNkwNW5ZJeexhW1ftAeny9DEzr6ZtXbX7ucpgGyQJmrAJN40Nprz2ErYq1GFpupw/N/qSdHn6GNZNjfTaw0LYV0/YOA9EEOkZeeF6Bu7vvDfLFJpKx4x0YcFStLw2m7hMee2l+kJmUotlJpkiVxXldZSQDsHP14S6IITnb3ZKWsiZaZADYGJA7s2lf7NmvleB7KIfa4asz0UHSb+nWpuY7XnrNZpivZ/84C4zlZ0zkulp0ussJ+y2gDoxcxbrhoJ1XVIujx+6KpUF/5cSPGt2OA74iqnyXNqImyYwRQfp9oaoEpKE9FIsfUrOWzlvERUuZM0MKxCiP0yXIwSIn3w18hfgegl0vyIIluT4oK1MiUtzs29OPiPHpfnK22o/VLGv7pHI6ZlXXPXeDkM2Coak5yiesqXHkpewha1CJD8pRQvTnFcIXa/txJQ0JqX1JO+g3NVd7m2IhKTNwwQNzVT6D8eeK6T1FcWC3xBwsTIbAAC0+dQopEjWd/fGx+iQp9bMy0ms6RJeTGBcmUG3hS1IIIIOuio9+7s+zdeXrIcIEqas5SivvRSSiAIQIkgS1I0SpbBpGkyx51XXjrZHHJua7tdjmWk66KrgG0s3ERxjV+cSw3osM8nVFq8l3bYQNkyNsHOe5doiBNbJlPqalSsLF/V4Zgrrpo5o6jzpFovs6+ruRCwjZE5cfkqbS4z47t74ecQxttzpoWdWEgVuqbps66w5bl9bdztfH16f7x0/qM7EBhd+dOjPgGnp2LJMs6CkKfeiX6SlLOPJdw0gQiQAAGoL6QlgYcN7e/d/ZSuCbaas5SxZy1uLEq1lvw/E0AJiSA4xtODc2vrB9KGLP4AsJZg5OSH1Tx3hG0o2MMWeWrYisEqdSQypk9EbVjv+pkAIrN2xqWmvc0vLB7BhanoqP88Ue+shSdDxp0/+gzKxcJEOOMqFlortiwcZYgBAALVIajx7cvApZSo+ACzLRBxtMwtqxszJSWyYGmnnPDc7bGDL/a1mXkkp4/PnLVWXIYEuEyLn4qqLOpiwt0GLpidz50ZfZIrcNWJb5S35C+MH5dH5nuu193Zos/EhI1OI2rvqDshDsyeNdD6SOdL3o+yJwZ8D0zIsVZcsTZfde9Z8nC31NV1P6siW+1ttHVV7MMCYdIpB2u8sVyajfYvVqBAIjaWbuP1rP8NWFa1GHG1blCmvbO8DAABaJDmmzadGSYfgNzKFqDQ8ewpgjCm3GGJL/U2FvsnDuVNDz3jvWPdZsa3qFqGlfDsk0IllCSTTMixFy0OSoG1dtfu52lCXWVDS2lxyRIukxrBuKEJL+XZbZ80+QmRdytj8uDw8c2ql9/p2MCxiRTtyIgQIjAGWClZWyltv/YcIAhJOD+GzOZCrpIKqTSet2Ei/et4bIEKrurjN5TV0I0VDxtCxPjWuD50/Ib+xMKdPaSr+rari+H8ZNIMYl5cI2J3IXVFLN106qxxLJcxoRQ3dtKqL3eQPkaUIAiRLOD94UT3T16MczyTN+LWGyTQN6fIautHrJ5OIgGiwVzk93Keem500xgQR2VkO8WXVdMOuO2wl1fV069FXCs9c6lGO/2f1+yp+awgeACFENMUVLk68wZT4miivPSxdnj4uj0d67Wvrb+frSrqlgck3bxg/vAIQIuviqkOdhb7JQ5k3+54gbJzbtrphN99QusGIZ2eUqWg/6bGFzawU0xbS75IqLAdL1vLqdGyQDnlqnVtaPiCPzp+1CkrGs3fNJ4xUfl66PH2cDroqmTJ/M2kXfOAaY1lIkayl6Hm2OtTBVQTbpKGZE1g3NX5V5c6rC6SVwEjno767NrwptlXudN/a+ft6Kh/J94y8oM4khkiRc7v3dn4cG6amRVLjNxtHbJi6kZUStGrImaP9P6FDnho66KqKP338y5TPUeq/I86S0AAAIABJREFUf8uf0z5nGWIZEfyHJvc/+kQSNCQQhTjars7Gh4xEdladjg0wYW+DuKpiB+V1lJIeWwgrupQ9dflpPXb9BAQAFqVNejQ9iSiSsXc33GXm5Lg8Nn8+/cbF7xf6p45wFYFVQlPpRq66qAMi+By2MIYkQfH14W5lKtaXerX32xhjS2yvvFVsKd9qaYaiL6SuUC6xCAmsU5lYWNZX413jYlmmMrFw0bamdr+ju+FOeWyuR49nZxybmu6DJKKkyzPHmbCnngm5aymfoxRck0KCLWxh3dCUK5FexNIiXxtei03T0FP5OaGlfCtXX9INAABmTo6DFRoHXjv0kEQUJBBJh9zV2eODT1Eee7Fnz5rHCJF1mTk5aSl64WpE7UqBaJKxddbsCTyw7UtUwFkuj871qDPxIdLOe8T2yludm1se0KLpSawbijobH5IuTx/Xo5lJZTJ6iS0Pttk6qvcwYW8D4mih0Dd5BAAAzLxyk80qBIgiWC0rxcXV1btJlxiUBqePETbOzZYHWsGi/GBF0CKpMXl07qxrR9uHvAfWfVadSwznekZfVKZiA2xFYJVzW+tDZkFO6dGbyz+xpstmQU5h3dIyJy4/JbZV7oIkQc//28ufdWxovMe9u/NjVNBVubTZfReRamalBDZMXY+mJ9SZ+KAyGetnwp46xFK8pRrytRU8kCQo3/vW+82cnIg+cfgvtNnEMKRJ1nv7us+KbVW3GoncjLaQnlAmFy5BhJAyFjmvL6QnmFJ/U+bNvifNvJwQV1fvcW1rfVBP5uaMVD5iZuWEmVdSAGAgD82elMfnz7n3rvmkpWjLVyxalqnNJYa1hcyE58Daz/A1xV2Fgak3sWnqQkPpRkgQNB1y18BFida7x8y0TK6q6IyeyM4SNt5L2nivfV39nWxFsC3fM/pC/tLEG0yRu5opD7QinraDGxA8EEEECUQSPGMnXWIg3zv+KltV1GHvrN0HAAB6LDvFlPiaSI9YfLPvkvI5yuiAsyJzbOCnuZ7RF5hiT53YVrmLKfU3aXOJEWUq2kf5HWXqVGzAzN84uvcqjFQhoscyU2xZoMW1o+1D8thcDyGyTtu6utvVyeglaWDqqGNL8wNsZbD9Rl5NV5FOGFF/iC51B6iQYCMkw8A6SUKKoCAt562srlm/dlQ56bQX63ML/ZBjHYRDDGLjP6SqVGmojXDYgtrk3HmmpnwD6bIXW4qaYypL1lqykkEC71HHpk8ilhYBhL8xT6D/0whXM401q4SuySH5EisgMbVgzGmKJfsq2bJs0ohxAmGbn1BH8hkjqRSsvNNHBU0D6+X13CqWJ34tyeu1wBhjaSE/DQEAiEIM42R9UiQ/lRyMnfG2BjeYiiFBCJG/I7Qdm5YOIISmasoQQYL1cMHsZGaIdXPB5dqmOYLnHBRnqKZ8/oXIjyd6Mye8pVyVJpn5yGi+v5DWE78pWQ3GwAIAAGFV+U77hoZ7sGHp6UMXvo8Ymqc89rClGfJKPXiwhQ2uLtxtX1d/J8Ezdmlw6pg6Ex9ELGOzZDVH+Rwl9rV1d5gZKW4tSlWvCy2SGpVGZk+7drY/6r2j+3OpV87/W+TbB/8AAIC5yuBqYVXFDkggUhqcPsaEPfVLBwLvAiGwDtrvLMucGPw5IkmGqwg2im2VpYilRHlo9qQez06TLiHo2tH2IVtnzV4jmZtTJhYurnR81alYvykpGceGxrvlpXUhVnWJ8jvLLUXNKWPz50mnGFxKRrwpwXPViJevD6/n64q7kcg5UwfP/SuwsEk6hQBYIs+X+yxiSA5SJGNKSjrzZt+T8tDMSbayqJ0QWKdtTc1t8th8jzqXGGbC3gYtkhy13pZs+78DS4bOlYEHtn7Kvq7+TiMrxS1VL9BF7irSKQQzRweeRCwl+O/f/EXSznuYYm89gACaspaTBqaPRX98+M+lkdnTpEPwseWBVXTQVYk42raYEGbqkKY4SJMsuAFhzYS99XoiO2NkpTjtd5YKzWXVpFMMGoncbPrQpR9i09Jtq6t2u27t+CgSWEehb/LIzSq3rsJStII0OH3MfWvH76dev/A9I5mbtRStQNkcHsQzdvny9AkjK8dJO+exVF1abk0PIYTufWs2Uh57sZmXU+rkwqX8pYk31MnoJQwAYIq9dZTHVowE1gFJRAEAAJa1/HtZe2JVLyhj8z18fXi9mZOT0tD0cdJlK6L8zvLcmeHntFhmiinxNpBeRwm2sCU0l22O/+L4/wDLJUFZ2LKWjNfz58cOFi5deZ0J+xqYsLeBsHFuMycnpcszxwGChGtn+4fNvJJaXMe8NyAE0fbbhDu6NvO3CjbkCIapsld/mf8xAODLV9/j9hHBx/6b5+9IGtI1jUzb2aPSq+FyqrpjPbfTwsAaG1QvOD2Ev3Mjt7N7G7/3jg/aH3v2iey3BBv6wVJ10I2uD+1O5AkWU2WCHTkYBnKKYkkLs8ZkLGLOaovR4m/B4yeDNU1MO4IAESQgTRMY89P6lSvD2gAAANAMZPxFZNgfokrTCSM6OaZfNo13pzpxPOJDZVSVx08UWSYwEwvG/PysMbGUYvUuMAxiWjrZjbyIbBACqGtYvXBGOSoXrJzLSwRcHsKvqlghSUAuzBlTbyfIEAGR20sEgsVkuWhHTpKCFMYAaypWMkkzNjdtXMlnzRsqSa4dM5eX8IdKyCrBhuxSAecjM8ZEImrMXa96dlUXu2n/++0fZRjIVjcwbU98K/1lAAFs7mDXpxNmdGpcG6prYTpWrWU2b9sn3rswa0z+8BupvyUI+PrbSR5/iCy940HHx08ekl4kSUA1rWa7FRlLc1P62Kkj0ktb94h3l1XTDaINOdq7ue0jA1ovWAroedd3ICAhECJLPT4iyAlIzGetTCxizEbnjWldw7/ROfO3iOABCJIEY++q3Z/rGX1RnY4NAJKgxfaqW4SWsq2mrGQBQgSAy28gVgrCIfgW5UWGGnhox98glha0hdSVfO/4KwBg4NjYdB/pFAPaXHL4mhSG68LSDEVP5GeBaRnqVKxfHpvvobz20sLFK68r0/EB57bWh0iR85gOwU8uely81S5ECJV+/j4am6aePz92MP36he9RHlvIvbvzMWyY+o2SBJaDOh0bBABALZIcS71x8d+lvskjTImv0b6h4W7KYw8bqfz8om77JsDYMjNSDJKI9uxf+18gSdCpV8//m5GV41xduBsgiAgH74MMuayRKaJJDhKINFL5+fy5sZctTZfElvJtlM9RqszEL6uR1BjfWLLBAgCos4nhmy14sGVZru2rrliKXtBi6cnk82f+pzQ8expACNlSXxNfX7KeEFgXU+pvJgTWCQBIETzjoLz2EkRTnO/ujX+CBNahJ7Iz8uhiJZF9Xd2ddMhdo8cyU1osc8PknreNi6nHs9MAAqAtpK5Il2dPEiLrUiajffLI7CmxvWo35XOUWpKaXZLpXRszi7Fp6Zas5aShmRPqXHKYEFmXY33jPZTPXoJ1XbFUQ7YkNfureFlABBGiKc6StVzi2VP/AiCE4qrKndp8YsTSTBXrhkoFnBWU21YMCUSspAwXMRTn2NR8r+++zX+GNUOO/ujQF/PnRl9iSrwNnn1dn5JH58+mXuv9Llvqb6LcZVuMVD5CeR2llMcRdm5rfRCb2CxcvPLaUixsRp1LjNjW1Oy7UazpUl8ISBKUpepS+vClHxipfISvLV7r2NLyANYNFbCUcAOrhXcA64aqziQuAwSRNDp3JnP40g+V8Uiv2F61y9ZZsw/xrEOZWLiwkoogrJuamZUTdJGryn//li9amiGnXu75FsDYuloZRTrF4PXIWSNTWDCzUjx9pO/H0uD0Mfu6+jvZMn+LNDx7ernFNSQQgTjGplxZuJA7PfwMXxdeL66uutWUtTyp6RJT5m+xd9e/D6taQU/m5vi6km7K7yjPX7jyqp7ITnOVRasRRbJ6Mjdn5pV0vnf8YOb44M/0eHYGIoggQiQVdFUYyfycMhXtX7bPpmWYkpaFNMno0fSENDD1JsAAs1XB1dgwNWBZJl3kqYYkwQAAll3AqrOJIW0hfUVsKd9mZKW4Oh3rV6fjg7bOmn1ie9VuQmAcWjQ9sVTBc30gREKKZLVoeiL+9Il/ZEp8DZTLFlImFi6aspqDJEHTYU895baFbnQCCxFCzm0txYSN8/D1Jev52uK1AEK0KI0Yfp608R77+oa7EUuLeiI7s5INFAAAmJKSMXNywtJ1RR6dO6vOxIfokKcme2zgZ2ZWjrv3dn4c0RRHB11VS1LJG7Zrd5KeikaunRWQWMiamXzGTPqL6XKGQ/zhX6Z+CADoW8l93QiEx1WGeNZppLKz+my0n3DaQwCAy5AkacdtW29BFMVpo1MnxK1dH82/efY78oXLz1PFgSbHge1foMNFrcro5HHS7676dZ/P/5m4MiD3GjrWIIKQICAJESAMDWskBen5SXXE7aeK6jvEDZpiyZpiSQyHhFRMj1w4ln31Nx2TDiGElEg7c7OZMTWlRJs+1P4FOSbNEizJY4wtSqQdjIP18gGxJD2WvMT7hZLSHZX30nbGHVgkfYz0SLJ3uWSd2m73jpJmx5rYRGH4wsHozxbG8oMAgMGrrzdt9e3b9uHy+ouvRJ9KTEvvWfrwFjDG1lJyDV8bXmsqWk4Zne+hXLYiymsPky4hoMcykyte45imrkdS45kjfT8S2ypvIV1iER3y1BiJ3BykSZYOuqshRTKUz16CONoGljl4euvWTMuyr6t/xbm5+f2WouW1SGqUbyjdYFtddStT5m/JnRr6ZeZI34/NvJIMPLzz7wiBdS43lyCWFkm3GKIDrkr/B7b9JcHTttShiz/I9Yy8AAlE0UFXpXt358ccG5vuI2ycW5mIXtTj2RX7ZumJ7Iw2lxwW26t2hz65/1sEx9gBxlbm5OVfFM5OHiEcgs/WXnUraee8lqLfdH6y8nJycd4uajfzSlqdiQ2STsFPCKyL8tjD2lxyBJvLExCQJBlIIEqdjg/qieyM933r/whAhAp9E4ekwamjhMC6go/e+k90wFlu5lZGhv+qgAghrjrU4bt/yxfFVRU7saoX9PHI+fy50ZchRdLufWs+KbRV7qIX0hNS/+Rhrq6k21K0fPbk0NN6IjurzadGzYKSce/u+Jito2YPU+JtQBxtMzJSLHO0/0lIEjTWDRXfhKSi/M5yxFCCa/uqh+gid7U0PHsq/cbF71uymiNsvMexvuFu9741n2CKPXUAY1OZii37fF0OlmYots6aHsRSfPCRnX9nyWqOEDiXPDp3Nv1m3xN6Mjdn76rdz5YFWpTp2OBylXCIY2xcVdFqbFpG/OkTX069fvHfCZF1iW2Vu/jmsi2kjfdo0fSkOhXtp3yOMmhahjqXGLb0GyelXnuf8vj8eYABJkTW5djQdO+SAiLF1Ye7PQfWfcbIFGL582MHKY+9hPY7KyivowQsGzKAMbAs86oUk/LYS9x7Oh+jPLZiaXD6eCE9fZwp8TXyteG1AGPLyErxX8nzDQJQUkHXTo3rQ/GIMdu0ml0XKiUr3/4WjkeCpmH1/En5EM8jcf0OYX/7Om7r3JQ+PjWuX65uZNpWdbGb8lkrk0mZcZZH4sOfdH2BpiFDUvCrhv5uyRyEEDrdyLv3XtuBcBlVHSqlKjNpM1laQdfmsmZ6YkTrN3Sgl1TQT8xO6mNXZbId67kd++6zP3r+hPSGqmCZF5Ft5wHxgebV7FdLKum6hz/lrkknzVhFLd1cyFmZ73wl+efgbesKlkd8Uzu77hP/3XNPXQvTYXcSbkPH+qnD0kuaitX124U3L55VjhZy1jv2HSwPhT332B7JZax0Nm0mOjfwO20/yjwuSzjP81D0h8jS3lPK4dompr20iqrv2sw/3X9OOUkziN1/v/19rWvYjS4PERgf0i4lYmaE56HQto7bynCQH7+sXWrt5L7dd045fiO5OUIQubyEf//99gPdO/jb/EVkidtLBMYuaxfHh7S+TMqMV9Uzz0+Pa0PaNQSJL0iGxwa0C4aJjWCYqrjrEcenVcWSRwe1C6piyWs387urGujWWMScVSSz4A8Rpb//x56/+9pfxz8HAHjjre8NQYQxwBMjWj/DQDZcplf3npIPRWaMiZYOZmMuY6ZzGTM5Pa4N1TbTq5frBy8i26oubtP7P+LsaljFrqlrZTohxPDCKeUISUFqdlIf697Gv9J3Tj2Rz1qZ34SX4W8PwQMggAQk5CvR3uzpoWeYkKfGSObmLFnLJV/q+YZnT+fHEUeLkEArPrVfDqSN8wAIIDZMLX340g+ViYWLhMA6mbC3ngl5avPnxl6ydVbvxRhbNzItewesxbJCZSral3yp5xu2rroDhMA6LVnN+e7Z+HlL1nL5S1deZ0Ke2iWPmP/o9VK1haUZipEpLAjNZVscW1o+UFjcnM0wYW89JAhqpf3TopkJrBlyYWDqqHx5+oRzR9sjiKft+bOjL7Bl/hYzKycsSb25zA0DbOakOCAQqSdzc9mTl3+BVUN239L+e4Sd96nT8QHSznsRfR2Ch2dsV2PR2Ypgm2tX24ctRS9I/ZNHAMaW0Fy2lXQIAVPWsivdFGjRzIQpKRlIEjRXXdSJONqODUtzbGy8l7DzXgAgYIrdtaTHHgYApAiRdUKSoACCKNc7drDQN3kI0SRHF3lq2DJfszw8dxogRBAsLYKVLjIxAJasZo1UPpJ47vRX2fJAK734W5333t79OchQfO7syPNcTXEX5bG9u4LAwha2sGkpWl6djg1QfmeF2Fq+XU/l5mI/ffOv3fvWfMK+rv5O6wZRpTcEhBAxFG9pusxVhzrF1VW7EU1xpqSkEUOLiCIYSBI0ElgHaee94Dpa6KtAFEE7t7d90H/f5j/FGOP5777yR4W+yUNCU+lm7x3r/6DQP3k48fyZr1Fee4lzW+tDWDcUZTLap05F++wbGu+hg65KaWj2FN9UuglRBENVBtvFjuq9iKZ4fSF9w80DpEgWIIgsRctbkppzbm15kG8o3ZA7NfRLYFqmuLpq90r/G5Zuao7u+glLNeR8z8iL6lxixHNH9+fMnJws9I6/ylWHOo1kbg7r5k3HHZuWZublJITuGmVi4VL+/NhLiKEE753r/xAiRGjzyRHKKQbBdQgevHRizZYHWpdIBZg9M/ysZ++aT2DT0gF+p0kxgBBBAhGUz1665N3SwJT4Giifo4x0CD4jnY9qM/FB5472Dynj873qdHxAmVy4BCCEji0tH4AQInUmflkamT1FCKyLDroqGZ6xQYRIgmcciKNtWDfV3OmhZ7T55Q2rsYUXF139k2+aWSlh66jZy4Q9ddpC6gqiSAYQiEAMJUCG4sF1CAtL0aTgwzv7+britYX+icN8XXgd6RB80uXp41okNe7c3vYwJAkKLflEXA+QQCSiSRYblm5bTOW7A2NsWbKWJ0TWBSxsQoKgSIfgQ9z15V6QgMTVk3lLUjLJl899U0/m5kgH72NL/M2QIpjc2ZHn7evq7wQWtlb6wMW6qVqKVihcmjyUPnTxB65bVn/EUg2JLfU18g2lG7RoelIanj1FumxBxN48zc7QsSYXzBxFQ9bmIIjiSqaWoiAjOkk3zcIVJYXdDITLHmIqS9di3VDlS0MvMWXFq0mX4zJbV9HAd7bcbSlqnvS5yq2CnFSHrhy2FDUPSaJHn4sNcq21e6mCL0nYBN+7frv/F+HCsdzBgTP5wwSFaIQAAhjg7t3OuwEGuLFT3HTshdRPYrP6hGlgA0IA/WG6guWRmEubCaVgrYj8Wyks0zLtZc6j/vaizWpaiZE8Zef9QvHIzwa+xrhYX/HGsgNKWonl53JXaBvtRBRBOSqcTbYyR72WUROWbqrTr135KX5bdQzNETxvp1zhRhugGMRhDDBJI4YVSYqkEUOxiKMYgt/50Yp7KBZxV3rSRwEAvzrBY2FLT+bnAQY4+XLP4+nDfT8CGFt0kauarS7qMPNKepEcfvdJ83LAhqkr07F+V3Wok60MtluLiUcDejwzTYc8NaRbLAIQQDrgqkTC8lLTt0MZi5zXU/kIWxFsK3r0lq9gw9IwxpaRKSzwTaWbxdVVtwKMMeV1lChj8+cg9e6KTEgRLCGwDlNWs+qVyAVLMxQjlY9w1aFOsbViB1sRaDWyUjxzbOCnjo1N95qSmsWqvmIJIzYt0/e+9YOODY330n5nRerguW/lzo48r8ez09hcNJvXk7k5jIG1Eim/nsrPY4ytzJFLP06+fO6bWDMUyucode1o+5ApqRlsmBo2r+PlQiIaEojkqos6fHdv/JN87/hBbTYxYkpKmvI5yjz7uj7JlvgalkjF/21EL6QISlxdtct//5YvMiF3deHSxBupV3u/LfVPHmErg+2+ezb9d6ugpNNH+n5c6Js87Nre+hAAGMtjkfNMia+JCXvrQRvYddX+IH9+7GCud+ygc3PzA6nXLnyH4Bn74nM8NYZvUl1G2Dg3Ni1di6YntPnkqDqfGiNdQpBfU7tfaCnbCghE5ntGXwAmNqmgs+LaqO6bwUjm5o1UfoEt87ekj/T9OHPozb9WpmJ91tJBhjqXGrF0Q8WaLmHr3fdKOHgvU+prxrqpIYF1Ff3erV/hqkOdiKUEbJi6NpsYWjQpD7QQAuPQIulxbQVVzG8HNi3Ttrp6zlK0POkUA2x5oFUej/Ra8ewUaed9hUsTh7InBn9uW1t3O2JIDnO0jSnxNoLlUyQxwAADC5uWqktGVoolX+p5HNIkS3C0TWgu20wHXZUEzzoABthc4SH8tbBMbN35oCO2dgu/5/BLhZ/TDOQoGjIIQXiVbEAIILeXCBSXUVWCHTkNHatDl9QeREDCX0SWppNmbGJEG5ga04eSMTPS2M6sBRjg3e+zPXypRzkGADh97XWrG+jWbfvEe7MZM5mMmxGGQzwAGCTjxsKJ16XnN+wUDlTU0k2N7cza7/5L6i8BAKcAAICiISMXrNzYZe2iv4gsKakka1vXsBt9QbKY5SA/3K+dHx1Qe7s2cbfE5o1pw1g8ZEMIwkAxWXbXw477AiGypKiEqrA7CffCnDEdmTEmfEVkOJO04o3tzLraZnr14ZekpwAAb5GQGAOciJqRkX71HElBOp00Y+//qPMPjr8qPWthgEcH1N6aJqa9oY3pQgigfffaH913r/1RiADKJM14fMGY6z0pH6YZyHICEmML5tzgBeV0ImZGWlaz6x/9nPtL//Ov4v8VALCsgoKkINm2jtu0YSd/gOeR6C8iS1gO8pd6lGOqgmVfERm2LGzu2C/ePzOhj9rsxFO5t1UFURSk/SGiFCIIMcaWIuFC33nluNNF+Jwe0p9KmAujA9qF/vPqCZaDQkMbs9brJ4vuetjxKW+AHIovGHMAAKBIVl7KW7n2ddw2uWDlXnsu/2SolKp66JOuP2U5yB98Ov8DQ8d6SQVV6w2SxYaO30G2hkqpioc+4fpoSye7MZUwF4JhslyRLSkVNyOKjAslRWQdAADUtbg6Zib00V98P/M1sAJ/xpvht4jgARADCJSpaB8T9tYjlhIsWcthw9T42vBapjzQYslaYemE+Fe/CEFQwLSM9JG+H2HTMmwdNXstRctrc8kRbT45uqjt5NyIyfOIpW1gRdHQEEIECXUmMSQ0l21ly/2tWiQ1LrZV7jJzciJ7dvh50iH42FJ/01JJ/n98clHKRBI2zu3Zv/a/cNVFnflzYy/rscyUraN6H6Te8qRYESxZzeqJ7CxfHerka4u76KC7Kvlyzze52lDXUkrZiCXf3DgaY4zNvJICGOD0a73fYcLeBvu6hjvl8flzqadP/IPQVLbZtav9UUgvH0VM2jgPJBGlRdOTpIP3abOJ4aumgKRTDFJeRwlAi2KLpYqbm0KPpSeNdGEhe3zwqcSLZ77GVRV12NfW3y4NTh/P944f9N7R/QdsVdHqq+1BYlGLnzs9/Iy+kB63ra7ejXVD0xbS47kzw89ydeFu2mMPW6pWIETOtdIxBgiR6lximC5yV4vtVbeq07F+vrFkw9KG8AUzLye4qlAHwb+7X9iyDGBZJjYtk6sOrfHdt/lPEcfYUi/1fMNIFxbMvJK2FqM8f7VSPQgRZCiedIoB9/+i7r2j7LzKu9Fd3l5OL3Om9940o95lq1iWe8GADTFgWgI3gSSXEAJ8hKwULvm+hIQACfiCARccjHuVVWz1XkbSzGh6PTNnTi9v3/v+MSMjyypjw7cu37OWltbSmrPffV6dOe+zf8+v3Lr0j3PHB17WR2d7GLccYrxKUeZI3/PuNS0fEirD7QtssusCPEJNcXfg7lV/yXiViDEx10sKRtq9tuUBz7qWDxfOj+3Th6OnAaBA6ai6yRifOz/37IHvaoPTJ6hDHO+mDig3V6zHquRPvXHiJ3Y6P+ta03yf0lG9hXKMaCWy1/VdgizDAwgRF3RXBB9Y/zdcyF2Z3nf+aQAoFSpD7ZBleMSx0mJvjZ3RYk5eSypdtbd4t3V/GkKIEq+f+LHcUrEei5xqJ3NRehU/qSuLOsQmBSPt5PRkatfpn6rL6++Qm8vX5s6O7ske7XvBd8vSz3Ehd8W1GDxYEX2MVykKf3TjtzJH+1/MnRp63bel6xG+LNh8iUn47gtSSh3i8MX+ushnt3+fcUkBxqMUmdPxfqKbeaxKPu+27s8Ch9iMWwqp3XXbKSE2tR2L2o5JbcfkIr5acyY5DCggxLA0K5Yes9P5mJ3Mz9jxzLg5mxq9rscMpYQ6xHatarrXs7H9oXkKOyO664qXG5OJfiuWHgMIwoVD0LX/DxLZacgxImIZXh+ZPXMJYJEaSleyAbXUTuSmbrQGxIiBHCsKFaE2LPOe3PGBl82Z1DAbcldCFnPpfeefjnxiy/+D3XJo4bvgGoA2hBDP+w8ld515jPGpJUJFuN3Ja0l9dOaMMTnX697Q9iDiWRHJgmcBeLqxaSiECFBAzWhi0L2x/SGsiB6AdCT+BB/UAAAgAElEQVQ2lK4ypuIXcycHXxNri5dyLRXrF2R8163omDGEEECmSY30nD3LCVCAECCGQ1xy1v79+L7Ytqn19L/GVZUus2KJIWpZmmvHxq/wdRVrIcMIRt/wW3x91Xp7Jj5AtPn0F8gwAmIZUT8/sJPxesqcdHZ6sYa5f4i1QGkvgMskGR/5UqQ0GbOmo+Pm0Fiffvby1CxRwfkVW9x3YRYy0yPwIvg9J2hkx9MDI68O/KJsU9W9ol8qwhwjQgQR7xGDZsZIZMfS/d7GwNLMcPKcYzgFd7W3NTucOAcggIhFXLw3duxyZmzLxuBtxY1qZ7habuRELHsjQll5m3u5YxGD4ZBACHX8pWI1JcDJJcwYnk8F+cBFKaVyU3mcOsQ2pxMXSV5PudY03ad0VG/WLk4enfc+lIJX8xy76no2sahhaelDvc9c8uGTW8rXSc3l64hmZArnx/a5VjbehT1yCMs3fp47BT2tD0ZP8iX+Bn1k9kx6/7lfYZcUYLxKkVAebDFn06OsTy1hQ55KJLAyxIgFVwI8GDGUUJI93Pc8Ma2C2lV7q9JZvZmL+OuJbmTNaHLIimcnxapwOxI5lZq29n4nswtgjpXed+6p9IHz/80X++vFuuJlRDdzhb7Jw2Y0OQghQIsBeJyMFqe2Y5ozqWEnnY8p3XXbXcvr79CHZ047BT3NlwWbrznswgiDBXls5nDfs9SyDamxdJUxGe9j/a6S/PmxfdrFqWOhD6//+rX6wt9HuVY23l30sZv+HrvlUPzFI/8Wf/7wv9jpfEysjXSFPrrxW9S09emfvPalQt/kYf/2pX/sWtV0LyXUYb1KpNA/eRiJvOpa2Xi3PT+4fIZxSX65tWID9shh19K6HWzIXUkJdfTh6Kkb7QWxjKD1Tx7JnRraqS6p3eZe3XQvXxpohAzmrXhmwpxM9AMIIONXi6lpG4seJC6UkzfSdlabI6ZdiP3qrb9jXFJA6ajeAhBExkTsgjk510dtxyTzXlbvBXgEVmG9aoTxyKHgfeu+qg9OHc8e7X/BGJs9ZyXzUTaglrpWNN41z5qZH0yQ/PUDWK5WRDNyJK+njMl43+wTe75JCkbGvaHto8ZkvM8Yi53z3dL9OaWrdjsg1IEcI3Ahd8VVF6Lz3xuUUmInc1F9dLYHAAAYjxz071j+ReoQe/bxPd9Uuuu2u1c13mNnC4s4n129MimSGO43e0yD6vksyQTCTGTBKPed7/G6Fr5TkJAcnbRGfEEcrmni2qMT9oggQrm0iq07tk97I5105lZtknbMRu3xE4e03as2STs23arcz7DwxOUsntJKtvYLXw98W9dIwZvHoWyaJCUZqgyD2IHz5um1W+Q7LZMav/xh8h9XbpC21zRwbWAB4LFMqje288tmp6WJ/h7jxPS4NTwX5SaTc86MpCDXuRP6wUTMic7NOtPxmBO9JPUJhHHJ577i/0eEAD7yduH1i+eN053LxfWhYqasqp5rSSedhNuHA4lD9t5wCVvx8S94vuYN4D9LzjmzAACAMMCRMqbS40OBsSGrj2UB5/HhYH0b37X7pdzTigu5A2FcHJ+xpy+eN082dfDLWQ7ya26Wb79wxjg6OaYNti0V1owPW/0MA9n2ZcLa3tPGUUmFruMHtDfrW/iu+z/p/pLbi7+cTjrvAj8RgnDFRmnrRz/r+b97jusHBi9op6fGraHWLmF1sIgpBQCAbJokK2q4pjPH9H1b7lI+KkhQ4nj448t9kFZslG65eM48OT1uDze288uq67m2dIrESyuYWggBfOu13DO+IFPU3MmvvHDGOJJOkFj7MmFtYwe/FCH4AiGU2ha1opPWqMuDfLd/2PXpY/sKb3j9OBSdsEeWrBQ21DVznam4M4swxPtezz/Xe8Y4eun6qht7Pvxp96e8fhw6fkB7k2EhG591pkMRpsyxqT01bg3nsiTtD+Hi/h7jhOrG3gc/5/2rsirua+PD5vsP2rms/nAAHkoJtWxdqAp3aP1TR7JHL77k5LQ4G3CV6aOzZxMvHf0P/23Lv4gVwQMAuK6043plz1NHqe+W7s+a04kBbSh6imhmFomcyoU9VVyxv97JG2nGoxRxYU8lWMQEC7KYx4rgLfSOH9AuTh4hlqO7VjTcBXlWQo5jsT612E7kpgGgYKFJ+O1rMWIAghjxrKwPRU9mDlz4NRfyVAnVRUuM6eSAUBPpXKAbv5+iSBbc6bd7njSnk0N8RbBFKA+1QowYYlgFcp0YzN+uAKhTMNIQQRR6cNO3sSL6ChfG95szqWHPhrYHpcbSVVgRfddi8GCXFKAOtbXB6PH0W2efQAIns0F3hWtZ3W0QYza16/RjfMRbi0ReXfCquWHZyVyUmrYuVIXb/duX/bEVz0zme0b2sn61RG6t2MgGXGXUsvVL4IiT11PUJqa6ouEuoSLUXhiYOmpnCnHIYJ4vCzZLDaWr7HQhxnikIF8eagUAHL3BFgCAADIuKagPRU/lTg6+Tk1bd61quofxKEXUsPJswFVqzSSHqGUbVz2oOsQGEEKhKtzuWl5/u7CQ+ODbsewLxuRc36Wfeb/SvHe2ByFCHCNQyzETLx75t+zxgVeUrtpbAAAgtfvMz528nsLyPGtjIRL7mqbCiOek0IfX38GFvVV2Kj+TfrvnCffalgeU7tpbM/vPPw0odahD7ND9676G3VJw9om939RHfyvxIYaZJ6ZVSL919gl9PHbOt7XrM7lTQzsZn1ost1SsR+L1TZYRgzkIIcKK6E2+cfIndqYQEypCbVzEV6dPzF1gg+5yuAgGxG+LAjjv9SUlXjn2QyenJ6X6kuVcyFMFIESOZmZvNLED4JJcychgtxSMfGb7v2OZd+VODr1hp7LRwJ2rvizWFHURyzGu/F2/VFgV/YAQJ3d2ZE+hb+KgVBNZmj3S9zzRjCxkGeE9jLZ5QCkDIICsV4lQy9adbCGOBE7JnRh8VR+bPefdsuRT2SP9L2SPXXyJ6GaOWo5xOcBD7Xl5HrHm/16MNO/yghAiLHIqMayCNjB1jHHLIXMmOZiKpccYlxTiQu4KyGDuRoCbnSnEAKEEIITjzx/6F4gRI7VWbGD9bSV2Kj8D5mV51z9YIoghi3k7nZ+dfXLvt6zZ9KjaXbvdSRdiuTPDbwIIIeQYgfktwHNV+SUlxHFyWhxyjBC8d81XjIm5Xn0sdo7oZh67pIBQGe7AiuglhlXgS/wNWBV94Dqyj0uFRU6BDGbzPaN7SF5Pu1Y23q0urdsBMWYYtxzEquS3U/lZyCAOLsJHqv9U4ZCWJ9mmbnlNPGpOTp43eyMVfO3YxcK5ZMz6XaOsAQAAWLPxAexxRazpWK+8rP3+9Au7/g7ynOwk0hNGPDkKbMckmp7WevpfpeY8EIg9rmIm7K/NvX3sUbREvtMYmjhKrRsbUf+fVKfeyry24+HQn3oCTNFYr3bWE2DPEYc6LI+Ehk65OVLJ12dTToL+b2AuUUIJwmh3bjIzqBSr1Uqpq4Zz8f78VGZ49LWLjxObmMKBsZeMtBGHCKCyTdX3uao8zfpcYXrm2NSberzwHvBPUBgXJZRwIpYTU9oIQgAxMqMyPBL0rJ3OzplRU3PyRsHJpaLG+O/8JhBEAAHkXtP8gGtl4z1WIjuZ3HnyUTboqVA6qjZrg9PHF8uUXgCtTSeVm+Eay2qDH1r3NSzxbjtTiGFZcHMRXx1kEHvpGXjD9Sxb18dme9ygBQBAKVfkrfFuWfIpO5WfsebSY1jkVa7YXwfxvCQUoPcC9pQCSgpG2ndL92cRz8pmNDmYPzuyJ392dC+1bN1KZqexJLjl1or1gBDneubP1yqnYGQooURZUrONLw00GVPx/tyJwVeoZZuuFQ13erd2fRogiJzFSEgRRABBpHbX3So1lq0mBT2d2nP2F0jiXcGNbQ9Zc5nxq8n6AJh/BgAAkT4625M/M7JbKA+2aEPRk/rwzCmsCD7Wr5ZIy+pvgxwjMlcw1X8fBeeDCNYWf37HN9mwt5oaVp4UjAzRzazSWb05/LGb/9Kay0wkXzv+I3145jSWBQ9X7Kt1NDOTevPUTzOHen9jzWUmGFXys35XqVgb6Xavaf6QMRnvS7xx8ieMWw55NrQ9yAbd5dRxLDN6dTbr5UUsW+fLgy2RT2z9LrFsXeubOFTomzgEWYa345kJYtmG2lV7C6CUzv95f98T1LJ1YlgaF/HVFf3R5n8impnNHr/4shlNDbFBd0XgjpVf4oLuikLv+AFgv1eiBRmGQxKv2qncTOzpff+Q7xnZDSBEQmW4zb268V7IsWK+Z2SPPhw97b9t+Rchggh8AJXEfNSIbeRPD+0kBSMb/NC6v3FyWgKLnMu7ufOTWBLcqV2nf2qncjP+21b8X4zPdS0DeArIfOQ7tR0DMpgRayLdkUdu+VOim7noo69/2Yqlx7iSQMPC794HDt2B814sq3IZkvIFmTCEAF0JNidizsy5E/rBqnquNTphj/pDOOIN4PCbL+SeRAjgsmquvqGV6x4fmQcwqAPI5Ig1UN/CdS2AECMAAKC6sPuRv/D9mSQjNZsmyVOHtbcmR62B2ia+o6yKrY+UMZWphBPLpkiivIZrDJcwFeCySZ9WIHkIAYyUMZWyilzl1WyjKCF5sI+cPbSn8Eoi5kTDpUyl149Ds1P2GKWUYgzRRz7jebC4nKnOpkmyvJqrLyphKhgW8kfeKryuF2iue624OT5mT0EI4OigdcE2qblkpbgRAPArAABACGJKAe09YxwNhJmS4we0N0UZKVqe5NuXCesECcm+AA4f2Vt4raKWbZoYsS66vDhwbL/2xsyUNU4c4Jw8qO/uWCFsqKzjmrMpJ7F2i3RnPOZEJ4at/hMHtd3L10tbO5YL6xGCz10u1YqUMVW3PaA+wrCQKyplKjgeClX1XMvMlD12bJ+2U1aRq2u1eNOpw/pelwf53ng298uSCrbW48dBAMA7MtixAat3bNDsa+oQlk2MWBdLytmaWFSfeO032cc8Phxq6hBWCBKURwesC4qKPImYHU0lnLmOZeL64/u0nQCAQjpJ5p7/ZeaHRaVsZcsSYZWu00LPCf1gbTPfoRVofvdL+V8d3J1/BYB5b7BLgxVBROKOB9SHxoet/qE+62xFLds4OWINNHUKK7JpJ8kLSFy6VtosK8i9+6XcrybHrEFDo9rdH3N9/t6H3V9U3fgb2bSzaMPzK+sPBuChDrHsucxk4fz4/sSrx3/AuObjkLEkuAEAwIotGLZWFS0B16BzLaasufS4Fc9OIp6V8j2je42JuV5KqMOFPVVWMjedePno9323LP2c2FCyUmoqW4M45gAxr69HRQKnAAoAKRhp702df+TZ2PYxyLOSPhQ9mXqr53FzOjHgXtvyAIAIXcnMoIQ6gFJqTCcG9NHZc75buj/jWtFwV/b4wMuQwTziWRlLvAtCCBcz+YEM5hhVCuYvjO/ThqIn3aub7kMS77qEdFPbMcA1NNbvLkpJXp9H8gklqZ0nH81fGN8v1kS6EM9KxsTcBa7YX3+tuG3skgKUEGLNpkaF8mAzV+JvwLLoNSYT/ZDFnGtl4z1YlfwAAiiUBpoW5QdDAYUM5vjyYIs+FD1lzWXGpaayNa4VDXciiXdhiXc7eSNFF+RNdjofM6OJQam5fF2hf/KwdnHyCDGsAhtwlVKH2Mk3Tv5Y7a7d7lrTfL/SVrkJy8IzzqX3fK37ixHDuKWgMRY751rRcIfv1mV/wrikoDGduJjed+4p7eLUUbm5fB0SeZVeRWa1cPBnAKE0/uKR74kNpavEupLl+bPDu4yx2DmwquneD9IIvHOLKKXUckwnW4gDjNnA3av/0pxJDVtz6XHvtq7PSA2lK7EieKlDbMZ3FQnZZYVl3iXWFS8DEEBACfHtWPYFrIi+Qu/EQUczMpn95592rW6+T2woWT79X6/+qTEWO/+uBRDCECNWqAy1uVY03EkBoEp71U1SXckKxGJBqAi2AABeuuZ7mQe5aKF3/ADRzVzw3jVfueSPgCXBA3lWWkwU9jvbETgFCZyiDU0ft2ZTI56N7R9bmFrlAACAmpa+qMOGQ2yiGVkIISIFPZXaffoxfXT2jNpVcwspGBlzJj3CRbw115LfYFX0EcMq2InsFOtRihKvnfhPSojt3dr1aXMmNXIlwENsx1K7ao+bs+nRwvmxfeZMakSqL1kGIET6eOw841WKEMsISGDlwvmxfe9HP7/YQrLg8d267E8Qz4oAYzZ3/OLLkMG8f8eyL2JF9CKRdxHT0iDHXvdgZU7FLxLT1pDIqVgWvJ6bOx9Wu2pvSb3d86SdzEXVpXW3Iv4G019CCbUdy07molzIU6F21W3Xx2fPUdPWQh9e/w2hqqgTibxKCnoGXYcdSB3iKG2VgySvp6hlG7nTQzuteHYSYsRwIXelPjxzWrs4dSR475qv8mWBJqEq3AERHLyRXxjjlsNWMjeDeFby3tz5SbW7djsAAOR7Rvek959/mhSMjHdb12eI5Rh0EfKUmlaxa9UtnvuKyrkajocCBAC4A0y4ihFZAMBrN3r9YsoYHDskdjTuIJncrDk6eYItCbVQ09JJXktAjFko8KoxOH7IGBo/QimlECEkLW3rZMKBOiSJXqxIfmts6uRiDUT/T6lCjmSO7Uq/EKng67o2um5tX6PenM866UAxW+7Y1DLyJAcRQNc6FP+uReaficMQwpHZE9N7AASQEkoghFDwiWGrYOWsnJFyTMdEGP0AYogpoZQSal/5Oc2nrLhjE4sQ6nASVhIT2oji50IQU0wdSgSZcVmGozsWMQeOJPYkp7QPPEgDYP5Arq5o8AEIkbq84XZtaPpkoXf8gGtl0z1SY+kqQAF5X885QgnkWDF475q/klsrN1jxzKSd1eJs0F1BdDObPXbxJcbV/nHGo4Qhxwg36pmoQ2w7lZsBECLskgLaUPQEPtTnA5RSACFkQ+5KNuAqBQuA0dXsAahl65DFvBXPTCZePf5Day4zAQixIcYsXx5sWfDhg4lXj/8nG3CVI56VbpTM9N6Nzt8jcyreP/fsoX82pxMD1HYsrshbwxV5a6hDbEABJdqNU7SwIvggRozSWb3FmIz3J3ee/LHcXnWTsqR6K0QI//Zq194NRIjxblnyiNRYuiq1+8xjjE8tZr1KBCmClwt7qyDGHBtwlS3W42+xhRXB493a9Wm+NNDoZLVE7tTQ64UL4/u8W5Y84l7b8kD+7PAuQAFVu+tupTaxXaub7pHqS1bO/HzX17JH+p6/tBcs8WlrNjUiNZevTe489Wji1WM/5Iv99a5VjffM/HL314se3vwdrMxLr260J6qbeeyRQ3PPHPhOoX/yMDVtHUAAGK8SEauKOhm/q7TQO3EQq5Lfvb71Izdip17tEgv/t9nkrtM/0y5OHSWamYUcI4j1JSuQwCmUUkL0qzN4AIIYYsRqY7FjViw96tnU8fFLCaiZw33POhktLlQXLfHc1PkwkgUPmh8ALopRf3lBhBgAITRj6VHPhraPQoxZajkGF/ZWU4dYubMju/Wx2XNCZVEHwIhBIue66u/BPFvZBmBeou9a0XBn6IH134A8K2X2n3+aLwk02qn8LHAcGwAKiPnBBwqiBBXLpKZpUmNqzBryh3DEukJaQwggkoLUqXF7qKSCqfEFufCuF3NPPfNY+vuUAOIP4ciXvh38vseHg8P95rnyGrZRcSG3L8gUBUJMMVgAeMIlTEVzJ7/izRdyT776TPZnLg/2P/CI58uhCFP21I9T/3z2mL7/kt8Ox0NhqFc6OzttvwOwa3manZmyx04e0vbMTNqjO5+jT5RVsXWyitxlVWz9UJ95duCCcXq43+yJTtijAABQWsXW1zZznbGoPSnJSF22Vtx6eG/h1Sf/K/3dTHqeLXPhtH70s1/x/wOlgGpDVm8uS9LFZWwVzyPeMIiBMcAcB/niCraG56HIsJBz+3DwyFuF199+Pf/s3Iwz2bFcWPfQ571fnZmyx1jOEigBzpG3Cq+XVbMNiZgTbWznl+16MffUUK95xh/GxVvuVB9s7RZWz0zao/kcyZw5pu1bvl7admh34WUAgAkAAJiBeOvdyjqGhWwhRzKBMFNSWsnW/fRfk397dJ/2hmNTGyKALIuaqzZJt8576lCNYQCzcN/fAXgoAJTjkTDYa55pXcqvUT3I++wv0j84c1R/GyKAWruEVV/628B/TAxb/RBBVFTKVDIsYGsauXaOhyIAoLAAPFnF5awtykiBECBRRmpZFVvPC1C8/HND35H4Qbh0rbh2063K/b1njGOllWxt7xnjWGu3sHp8yOp/6VeZnxg61VQ38t72gOuR2mauM5910kIJkk8d0d/qWilsqmvmloDLvIDeb/3hADzz6Tu9QlVRu7KkZps1kxpmA+5yua1yAyCUZg6cfzp3eminWFe8FGL08w/64HDShVju5OBr7nUtH5FbKzfKbZWbrFhmrHB+dB8l1JHbq25i/GoptYnl3tD20dzJwdfBVbSUlwpCCOWOqiaAEVY6qrdgRfBYydx09kj/C9rg1DG5pXKj96aOh9mgu5yatk6u0F9T27EWfDeIa1n9Di7iq03uOv1TJ5WPuVY13Q0xYpAsuBe8JG4orUIipyJp3liNC7rLKSG2dnHqmFBV1AkxZhY8YG7cXCwweAAAILXwYPHtWPYnXJG32owmh4TyUBuc93sRr2ykIIIw9MAGP+OS/L6tSx4hpq0bU4l+Yzx2nnHLIaWzeos1lx5LvHr8h55N7R/nSwONXNhTBQAYuN6W5mO2EZc7MfiqMZXoV5fW7eDCnsr82ZHdxlS8P3DHyi9Ry9YvRcBT2zGzR/pfkJrL14l1xUuFynC7k9MShfNjb9vJXFSoLuoUqoo6qWlrcmf1FqWjejNk8HPXSxi7FL8pt1ZsAAAAopnZ5LGLL+XODO8SyoItwfvXfo0Le6sRxwiO9t7pArVtEyDISC3l67AsuJ2CkUntPv2YMTp7FgmcAhFEAAII4QfUsBPqzLN0BI/35s6HjfHYeaKbOamxbJVYVdSZOzX0BlfkrZbqS1YyHjl0vSYYsozA+pRiopnZ+MvH/kNZUrON9amR5GvHf0QJJWJdyXLXyoa78qeHdxX6Jw9fuQ61HQtixPClgUZ9ZPYsknm33Fa5SR+ZOS01lKyUGkpXYpGTHe3qxsbUsnVKiEMpJe71rR8BCOLUm6d/Sh3HVjqqIxAhBrukIOIY/kYgLEQQute2eJDAKcqSmm1ya+UmJ52f1cfnzgs1kS4AIaKE2osBUeclWmbG0cxs/IUj3yOmrQfuXPllxLOSnc7P8iX+BkopgdcAKhhV9DNuOSRUhNtmHt/zDcizYvCOFX/GlwVbCv2Th6/G6tAGpo5ZM6lhoTLcnjsx+Ko+NH0cy4KHrwi3C+XBVjudn5Way9fOp7/g13+vUhlKCWQQiyRezRzsfcYYn7sAOSxIDaUrc6eGdxYuTh7xbGj7qNRQshKx+LoAj5XITpGCnkYM5rFL8mNF8GiDU8eV9qqbxNpIN+RYEQnsdUE7ajsG0cyMUBFq997c+YlC/+RhQKijdFRvZnxqSfrtnieVzpotXJGn+kbNqjER79UuTh0VqsIdanfdrZDBnDEeO68NTB2DHCsqXbXbocDJgFLi3dr1mULfxCEAwOS11kM8K7qWN9RikVOUzpptWBG9+vjc+fS+c7+y0/kZtaN6i1BTtIQNuMusuczEYqSY1S1il9vPBGfGzaFCjmR4EUnBYq7c1PXfWxw5yWspoa7yCWlFx4eRwKucIgcAoBQrcoA6xDYGRw/kD516glrW/O8ZRozYWrcNsgzPBH1V1LAKdjz5OwECf4iVSztJ1ccEZ6fM0eSMNeUJskWWSYxc2k7ILuxlWMiO9WlnLYN+MM+06xREEDICIyEW84zImlZhHojmXLy37p7mz7mrvK3EIZaRNuKB1tCvAIInHPPan6exs+kjc2OFgfatoXs5EUuKjwue3Tn7G8eap/NDCJChOblszIxm48YH8rZ49xuAkHFJAQghzJ0d3pM50vc8lgQXMa189NHX/9y7reszkMU8QItkDKD5CHRtKHqCmFaBcSthJ1uYyx7rf8lO5qNYFb2U0AcBAAAtwoCfOsRRl9XPUtPWIMeKhQvj+3OnhnayfleJ2lVzC5YFjzYwdUxuLl8POVaEV2HwkIKRsWLpMTOaHLJi6TEs8S6puXydUBFqNacSA/rYbI8xlbiIFdFLCkaarwi1yW2VmyCDF52mBFnMQQiAPjrbY0zO9VGHOBAhRCklqd1nHrNT+ahYFe5YjMnyvO8ehFr/5JH0od7fQAQZiCET/clrX3KvbfkwG/SUX8vnkli2QW3Hworgpaalzf16/z8aU/F+atkGZBDLiZya3HX6MYARg1XJz3iUMADgujLs91NsyFOpdFTdPB8MACG1bN27rfuzalfNNiuWHsOK6HNyejK979yvvJuXfFJqLl87+/ieb2aP9r94lfMCBYQ4+ujMWa7IW+2/c+WXtP7Jw9ZcZgwQ6gAEEeNXS2+0J2My3sdjxBjjsfPAIbZQGWqX26tuoqat6yMzp/Pnx/YR0yrwpYEmLHCqa2Xj3VgRppzc9QeJ79Q8QMM4WS1e6J04QHSzAAAAWBZYfXD6hD4cPSXWFS+jpn1VgIfajkl0MydUhjuKPrn1u/roTI8xEb9ANCPHeJQI63eVuVY13otYzJO8kWbccogLe6shhPvfj5QQiZxKbcfU+iePaBenjkl1xctcq5vuFSpCbXZWiwuVoXbGLYW0oegJaloaYhl+QcL+7oE3necCQYQYubVig/emzoexKvkpIcR/+4o/zZ0cfF0bmj7xzo/bHzxBkhOgEIvak+mkM7d+m3z35Kj1nvNHLuOkjrxVeH3ZWnGLrCCXlqd5UUYKxhAbFrEwhtNvPJv9ZWuXsKr/nHHCF8RhQUBisAiUun3oHRabx4+D0Ul7ZP+bhedXbHyYCskAACAASURBVJC3czzgPT4UePK/Ut89eVDbQ959JjMBAE9dvo9CnmRVN/bmMyQ9ctE87/biQKiYKfeHmMiPvhP/anTCuvTsnQZgHly47xPuW1Q39p48qO02dKqt2SzdUVrF1X7yS95vOQ5wRAnKgojkUIQp8wdxxBfERdEJe8S2qCkqUAUAGBwHheJytsblwX6WAxyAEA73mT2//mn6e/kcyQIAAGbgy5iB7CNf9n27ZQm/Mp0k8bIqtj6fo9mmDn75Mz/L/NuRtwqvL+wvGggz0b+oCtZ1rRZv0jWSv3DaOLJyo3yrN4DDAIBxAADgeSiu36rcnYo7sf4e43iomCnvWC6uW7tFvnPVTdIO4gBHlOc9eUoq2FpBhLIkQxVhiCNlbBW47Mw+PW6NnDhY2L3tHvUhxwa2ZVJTUpCLUECpRW1BRMcO7Sm8PDNpjxoG1T0+MZCKk5g3gEO8+G6PQ+IAh1JAeQGJ+SxJD/aaZ/whHBFE+B7muuJCnm33qB/PZUiqoZXvEhXk6pSgMj1mDz33ePpHlyWtaZEy9rGv/6/QLx54xPPnp47oeyUZqoEwU7xms3w7w8K3r2bYvZj6gwF4iGkb+uhsT/ihm/7OnE4Mqsvqbye6mUu/3fMUKRjpBRPimNxSsUGoCLWCRbJ4rjzAOpqRU5fUvOha0XA3V+Spjv33/n+wU7kZJHCyWB3pIoatpfee/YXUWLZGbqvcGHpgwzeEyvBXjfHY+SsfEhAhxJf4610rGu4kmpl1clqSA56qxEtH/92KZya5Im8NVgRvctfpn0m1xUv58mCLky68q3GaN7UjNiCEJF47/l/ZEwOv8iX+esajFGUO9T7LeOQwlgQPViU/WATAw3iUMEAQ2+n8bPzFI/9mTsX7F+5ZG7VsEyCI4WIaKkrfoT9iVfT571z5Jchi3k7monxZoPkScwdyjHhlIwUx5pDMu4lhFdL7zj1lzacqlXFhTzW1HD329Nt/Twwrz7jlEBfx1kp1Jcul5op1EKPhawF3iGdF/+0r7mPD3iplCdwqVBd1WbH0WOZw33N8aaAxcNeqP+eL/Q2F3vED9BLA4xBHKAvsMaPJQaE82Bp75sB3jNHZHiiwklAWakE8K6X3n3+aLws0u1c33xu8b81fEc3IIJbZe2XEJ4QQsn5XiXdb171I4BR9ZPYsV+yrS+48+agxHrvA+NRiNuguy58Z2ZUHI7vc61s/YsUy75GGUMsxAAVUrI50QQhR/vz422J10RLfLUs/Z6dyM/PNBcIfNG6YEmLbmfwsZDCXOznwmjmTGhLrSlYwbjmkDUVPsn5XKet3lQEwn3gAGcyCKx6yl60GKAUUIIiFqqIOrshbDQAA3i1LPrVw35vYgLssd2rodWpdu1mllmPyZfNRl9ZcegwJnAI5VuRLA818aaAJAHDsaq8jlm0AQglwiD37xN7/wYbcFXyxvx4roje1r+epwB0ri1mvUoR4VgY38r9AiGHccghAAK1ocij+8tF/J4alqd1124lhFgAhDsSIhYsw/KaE2I5mZAGglCv1N0j1pSup5RgOoQ5fGmyGLOaB5eiIvYZ8UZV81CG2lchO8aX+RgAAZEOeSkCpg1XRf7UDj5PVEtpQ9JRQFW7XBqaO8uXBNqmpbI2dzEXnnj34XSTyruC9a75S9LGb/j4mcAqjijvt7I0NHSGEkPGpETboKteHZ05fzYfHTuVniGFr2UO9z6Z2n/653F51s9xSsc6aSQ7ZmUJcbq3YINREugGECN7AIBkQQCihDmQZfgEQi7F+V4k5kxzmS/wNrCoF4BU+Ze9ZwrR1J6slAKVO6q2eJwClVG6pWI8EVjFGZ8+ItcXdkGclgBDGiui93iTZTudmMkfnQWDGLQXnfnPwn4ll61gVvUJ5sMWOZyZTu0791LWs4Q65uXxt6P51X+PC3u9YsdTolQwJyGBWaixdpiyp2TYvdSAEYIgLPaN7HM3IChXhNoAgjj93+F/cG1ofBPNpejc8lKkexp9O2HOJGWtK10i+qIKvVT3Yjxn4fqfB1y1jaPww0fS0vHrJx9mSohbIYM6OJYYKR88+bQyOHSb65QyBedNCJ5mZYkL+WnN8+rSTzX9gP4Q/1ErNWdHeY/l9DV3S6oKEFMemNkIQizJWU3N2tP9E/uDclDV+vRSQD1pSWCmvu6fp87xHDM6dnTmAGPQzAACou7fl4xXbah8afK73vzw1vjYra6Tq7m/94tDzvT8GAOy51np6zs4CALL+UvGZ0dOZw9mYMZ2c1scce3Ex5e+7IERYlQIAAKCPzfYIFaFWazY9Gn/24D9DnlW4iL/WTuWii5EpAgAAX+JvCNy96i/F6qJOJPBq/sLYfqKbeam+ZLnUVL4GK6JvoU8CiOckACAE7zE0e3fZc5lxcyY5DBnMIYFTlc7qrYE7V30Z8qyUPdz7nBlNDIk1kS4kcsqlGOl3vT6Vn9EGpo95NrY/aMcz43JH9WbWqxbHXzz8PW0oepIYloYlXhUqgq2MRylig64yua1yU6F/4hC4RtrglYVFTqUOcZycngAAAMQxvFgbaXetab5f65s8DBnMUUrJYsybsUsKQAiQPhbr4ULuClIwM/HnD/8LsWw9WOyvAxDAa0mLnUwh5uT1lJPXk/EXDv8rpZQI5aEWoSbSBTFi8z2je6llG4xHDnlv7nxYqAy1gd8TwAMRhK5VTdWMRymihDhWMheV2ypvYn1qsZPXU9mTg6+b08mB3OmhnWp33Q6lu/bW5M6TP8kc7n32vUAahABBDBDESmf1ZqGqqBOLvMuey0x4NrX/EZJ4N0QIizWRLgDAo9fbV/782D7PxraHXGua7wcUUHVp3Y7M4b7nMvvPP+3k9RTEiGG9arFQFe4ADGKU7tpb0/vO/QoAsCiAB7EMDzlGcPJGmuhmAfGsgCTe7dnUfj8SOKVwYXw/ABAQw9KuNtRx8nrKjCaHxNripdZsaiR/dmS3Pjxzej51zlvNuKRg6s1T/6+d0ebCD236O7G+ZIXcWrEhc7jvucXuETKY9d7cUV64ML6fWrahLmu43be9+3NswFUGAITIMPPZk0Ovp9489ShfFmgGsBVdGty9ZzFCCbVtA2DEEM3MTv/nK19kfGqxe23zh5DIq/GXj33/XenGvwNzEgIAJQWpdU185+yUPV5YACwuL0oBrW/hl5RWcXWOA5xs2knABRYlAAA4DnWKSthDN92mPNC5QtgQm7YnDJ1qiht5eR4KGM+nL23YLntZFvINrXx3sAiXeAM4ZOhUO39SP0QWMXDXNVKwTGrWNvOdtS18p5YjueXrpW27X849HZu235PKx4tQWpB+VQmiJI0Omr2v/jr7s8E+86w3gENuLw5UN3BtWs7K5rMkXdvMdXQsE9d6/WYwmyZJUUIKAGCOE6BQyJPs2ePafl5AUm0T1zE9bg0ZOn2nT3Rs6nAcfNEXwOE7H3R9bqjPPDs5ag2KElTKa8SG8SHzXWba+RxJT45YA4KI5OScM1tcxlQHi3BJZR3XDBYAnkARUxIpY6qCRUxpIMwUnz+pH3r0fyX+RzpJ4kWlTEUgjEsEEUmGQfSpcWto1SbpNpcH+7IZkpoYtt51PZaDXOdycZ3iQl7LpEYhT7J0vg+lC/dWW7JSfPnjX/T+zekj+tvTE/aIoVOtpJytFUX0rl6UEEqIQ22vH4Vmp+l4Ys6ZARQARUXvMfVvWyqsqW/lu2cmrVHTpIaCAa6s5Zr2v1F4/jJwBwAAwMykPdrfY57wh5gIIYAk58iMbZtWXQu/RFaQGwDwgVIJ/2AAHmo7ltJZ3UsdYvm2dX+20D9xOHu47zljfO48F/ZUc14lckmq4bt12Rf4Yt8/mbPpkWuxLRCDWbmj6mbfrUtrsMQ/5hR+ayxc6J04WOgd368srdvh2979eYgRY86kR4zJuT5jaOoEXxJoEGsjXZQQR+6s2lzqu7Motffs42JNZLcVz0xAjDk26CoL3L1qvbqs/nY26C63ZtOjAAKYOXDh18ZU/CJf4m9gXFIg/uKRf3Uyhbh7ddO9droQuzKOmzrEqfjrByw8z2zZ7F7X8gASeZc2MK9Nv5QGsaBpHrnRfbzkiZPee/Zx7eLUUd/27s9Tm5i5M8Nv8hWhVshgBiyioaKUUqWtMk8ppUQzc9njF18RyoLNkGfF3OmhneryhjuVNnnjwvXe3UhhxCCelRDPSq5VTfdaydy0NZMaNmfTI4xLDHg3L/kkG3CV5c+NvZXadeYxsbZ4qW/Lkk8VescPAgB6L98HhBAiiVe9W5Z83H/b8i8uyF6gPhQ9ac7TbNcDSknmwIVfe27u/ATRrdzlCVRmNDWcPdT7bOCu1X/h2dj+EHCIbWcKc8ZE7II+MnMG8awsNZStpIQ4QmW4PfLZ7d9P7zv3lNxS/po5lRgAAFDGpxb7buleoS6tv02oKeoyo8kBsaF0ZeZw33P6UPQU41UiXMhTmX6750l9dPZs+KGb/h44xDLGr5AsgQVAjxC7cH7srdiv9/+Tk9USUlPZGjD/b28LleF2iBH7QXTQACzEgY/P9QIAAF8RbiOamU3v63nSmkmNsGFvFRtwlXFR76B7XcuHsSL6IMsI4BoAj5M3UvrA9HG+2F8vlAWa7ER2ihhWIfHKsR9wEV+te03z/ZRQx0rmole+FiKEfLd0RQBGDF8WaErt7Xk8ufPko0jgFNanltjJ7LSypGYrXxFqhQgev5rshdrEooQ6bNhb7VrRcId7XcuHnYKZ1YemTzIeOQQ5RmC8agQJnARu4I0CF3xZqO2Y8VeO/cBO5WO+7Us/Z82khrWLU0eF8lArZDAHFsOcIsS51EzbyVw0e2LgVaEs0EQJJfkzw296bu78JKOKfngNHwisiH47mZuOP3/ofwJKqXtdy4czh3p/AzFiGVX0X+3AQymlalftm2JN0RKpqWyN1Fy+zsnrKTOWGWM8Spgr9tUhWXBT3SoEH9jwDdfa5vsDd6zcl+8Z2WtOJweu0kxBLHKKa2Xjas/Gtof4ilDrxHef+Qi4inO/o5t5ajsW5FgxeN/ar6rL6m+zk7koVgSvk9HibEAtwRLvprZjLsY0GAAApJaK9WJNpJvxq8W5k4OvE0pzkGdFyGIOi7x6PWYZyespczoxoHRWbxFri5dq/ROHE68e+6GVzE0L5aFWrIoBsa54KetrKGZcUnAB0L4qwEMJpaxffdF7c+cn+dJAY+DuVX8OWYY3xmLnjan4RXM60S+1VGzgSgMNAFDguanjj7gib01637mnhPLgITudn0U8J3MRb034oxs3LyTEiU5OS1yaJtup3IxYE+mmlm3OPvXWt7EsuIJBd1nm2MWXnbx+Q331mQPZN1duc99TXic0qx7LRwhwYlPm6MgF7YYmoO+nqOM4AIBzEKG/RqocgBizTjYXo1eT/Nm2mX7+zW8xAV81EnnVTqSvyWq6XkGEEAAAXEnVhxBCgBBii0PNAAJojk2f+SDr/661YLx8NFzGz4XLuWoNEcwwkI2OGYPjF/VzhazzgT0grlcQQVi8prw9sqp8e2E2N5EaTJwlNrHVUndN6cbKexIXYkf1hBbFzXhZdjxzUa3wNFTtqH+YU/lTZtZ412eK5bFQs8y7Xg1wRed2x17wFguekkalA7Wo3ZQCsupDpYaWtVO8iBVBYVyIgQxxqHN+79xLsZH8Bzd5nPerCwAAgGdT+8eSrx7/UXLX6Z9iRfAF71/7Vb7U30gKevpaZvTv1IKUiw15Kr03dz5sTMb7tcGp43Y8M45VKcBF/HXGWOx8vmd0j2tN8/1Ke+VNiGMWZb7v5LSkncrPMG45BFnMqd2129mgq4zoZt67tesRxqtEAAAAS7wbsu/1BnM0I+de27JbXVZ3u3db9+dyJ4deS+05+0tjPHYOq6Lfu7lza+RTW1ezIU8V61dL7ExhLn92eBe5Bmv1asX41GIrlhkzJ+P9YnWky0pkJhHPyvrg9Am5rWKjUFnUQQ1bW4x/HOOSggBC6F7X8kBq75lfJl47/iPIYj70ofVfF2siXcb43IWFoc9771XByJb8yW0jfGmgUayJdHHF/no7nZ/VB6dPcsW+2sAdK79EbcdIvnnqp66VjXeLtZGlEKOdvxeZFoSI9aklEEFkpwozc88c+I66tG4H7qq5JXti8NXskf7nhYpQm1ARavNt7XrETuWjqV1nfnZ1Zi+ll9jFYm3xMn1k5jRwiCO3V90EWcwVLozvU5bUbBNri5cybjlop/Oxa21LH5k9Y8VzU77tSz+fOXjh14lXjv2gcGF8P7FtQ26r3KR21dzChjwVUkPJSkAo0fomDxnzfeWiCkm8G4ucmj3S9wJfGmjgQm4IEMJWLD3OV4Ra/DuWfQFJnOta4J6dzEUL/ZOHhcpwhzGdGAAQIc+m9o9BhuGteGbSjCYHkCx6XC0V67iIrwZCCJWu2u3i3p7HAQBvLmaPWBbcjFeNUMs2gvev+5pQGW5j3HKYaGY2d3poZ3r/hf+muplf8G/cjhXRSw0rf7WzG6WUUNPWEYt5saaoC6uiX6wtXmpMzF1IvXXuSWsmOXQF0PqB09ryOZJJJ5y5vh7j+Oqbpdsti76nD7YsaiRiTnRsyOxzLGp1r5Fu9gVw0Xz61XzfPDdjT0Un7JGyKrY+ztuCL8REtDzJiTJSEQKYEOAIIpIRAkh1I9/stD1eXsM25nMkoxXIoli4xAHO1Jg1ePqw/lZ5LdsYjjBlAACQmHWmHee9Mu8FYIL+/Pupv4+UMVUr1ku3uD1MYGo8NcxxUOA4yF84ZRxu6uCXl1Wz9am4E5ueKIzMTNqjogQVSsCCXAyJiZgTnRy1BmUFucLFTLlD3ttLmSY1axr5fXd/zP3Hsoo8CAFUXMHWxKbtiVyOvAsodGxqJ+ecGbcX+ZesFDdePG+cYjnIF5ez78TU+4K4qOe4fuDQ7sLLm3YoH1q7Vb6LEEAO7i68JMtITSdILG45VnMHv1xSkKv3jHEkHnOilkGNXObd19PyNDcbtScwA1iGhWxZNdsQjDClCENEnPm+eLDXPEMc4BSXMVUsCzlOQKJpUl1S0LssSCCEECKAZqft8YWY+xrDoNoC++hdVdfML5kaswZPHtL2lFVy9VqB5HgeipNj72WKEULpHR9xnV2yStjo2NQyDKKDFE2WVbH15TVcAwDgwPU/IVevPxiABwAAjIl4n3Zx8qhQVdSZ3nf+qUL/xGGpqWyt3FS2JvH6if8Uqoo6xbripVgWvGJ10ZL0wQu/FmuLX3OyhTgl87HmC7KNQOCe1ds8G9sfghwjmVOJiwCASxSxSyyeR8XGstVc0FMx+9Rb39ZHZ89iiXcJNZFupbvuVmNirs+YjPdJjWWr+bJgS+j+dV9zdiz/AnUcC8B5GQ2gADBuOUA0I0c0PZPcdeZnRDOyckvFemsuM57ceepRyLNS8P61fy2Uh1rnnjv4P8lVPF6IZRtKddGS8Mdu/gcrkZnMHOx9xpxKXFQ6qjfb6cIsc9lk6kZ1KZaUmFbBs6H1oxAhTKlD2bCnCkAAAUbsohg8YB6MAIQSviLU6ir1N1qxzJg5mxpRlzfcsTCdAfNpCe/+joUYYcgyPGQwZyVy06m9Z34hVIRahVJ/I+N3lfLF/jptcPp4et+5pwAhjj4cPSW3VKwPP7jpb8Wa4n80o4lBops5JHCy1FTW5tvW/Vmlu/ZWxiX5M0f7XkjvPfcEV+StwbLgTu089agZS43AeZ3/HcSwCpd73xDLNvgS/xPq0vrb+PJgS/zFI9/LnxneBRnM8WXBJtfKxrudvJbKnxneJVSG2vmyYJN/x/IvejZ1fPzSwQYihCkhDlYlH1g4iCReOfofZjQ5KNWXrqC2bab3nXvSyRtp7+Yln3Ktarw7s//Cf9vJ3HsMUOf18pQikVP50kCTWBtZigROyp4YeNWYmOsVKsPtkGX4xcZ/X2V9R26pGLRT+RlzKt4/8/iebzJuOeRa2XgXElgZibxLrC5aAlnMsT61mPHIYcYtc4hnZeo4lp3Kz1xqyIhmZLXh6CllWd0ObSh6GgIAtJGZU07eSLNBd4VTMDKMWwpITWWrkcANUtPSIctwjEsKutY0rfJu6/4M4jk5e6T/hfTb556cNzVsug9LgjvfM7pXrC9ZIdYWL80cuPBrcHV2GqWWrbtWNtwlNZauNqcTA9nDvc85BSOthupvs5P5KONViiB/Y6Nl6hDbTuaigFACMWa9mzs/QQpGBiuCd4HZAyCD2cUwpyih1Ld9qQkRwlJj2RqxJtKlD8+ctrOFOffalgdYv1pCLce8mgE5RAiVf/VDHsgxgmtV470AAJo+cOHX1HKMefq25LuWZEEbmj5hzWUmAABw5he7vw7IvGE3VkUf45HDuZODryOOERmvUgQZhvfftuyL/tuW/6mVzE5RyzERw3CQxZxTMDJOthC3M4U5O5mbNmOZcbGueBkb8lSBqwA8WBY8ECMGy4LHmEpc1J96+9tOTktyEV+t3Fqx0ZpLj1HLMYWaSPe16P1X1qVYcnM6McCFPdWemzsfxtI8mI1kwbMQMX/VCTexbNO7ufOcUzAy+XMje+MvHPkeV+Stdq1svJtajsGG3JV8ib8BQAjZsKcSq6Kf8SgO4lmJ6GbeyRbmLgcU7VR+JvnGyR9HPn3LvyKRV2ef3PstO12Yw6rok5vnnz+FcyN77YyWkNsqN0jN5WuF6qIl5JIp9zwgRyFGDFZEn5PVEuZ0YiD1Vs/jkMG83Fq5UR+Knir0Tx5i/a7S4IfW/Q3kWblwfuyt6yaXLdTgOe2ky88EO9eqWyEE0DapOXbROD87af1vkUQteF9d17yZUkqxIhekpa33MgFvJVIkf/o3b3wDALBrsddBPCcJTTWrAcYsX1ESJZalATo/W2NLiyQ25K8Rmms3W9FYLwDg/xeAh2EhixnIUAqm41FzHCw87CgFFDOQEWWsQAigXiD5xUxiF1sQQiT4pHDq4twpACFKDyV7IIKwdH1lu1rqqh155eLPpbBSLvjEIs7F+wozuTFiOoYUkksAAO8CeGQvG6hf7dviLRLKR06mDkTq1FZ3kVBKbGoLCuMiNrHzKWvOXybWGAUnx3CIZzkkTPZmTwEAPjDAAyFEeMFsl+SNlKOZWc+G1o8KVUWdSkf1ZsQyPJYE941M1a1kdtrJFRKIxXz0Zzv/Sh+dPcMV++vUJdXbkCy4M0f6ntf6Jw9T2zHVFfV3AgAA5BhhUWD9JceZ+TxPdvZXb/9d5lDvb8SGslXS/8fce0dJdtXnonvvk1Pl6qrOOU3Hme4JPTlrNCNpFJEECBAZHJ6NwRdjG8zChgtXNvAwwQRjDAiEAOUw0kiTc+qZDtM5h+rK4Zw6+ez3R/foKvQEGd5afGvNf7OqztnVVWfv7/eF+uK1Tl7P0GFvDRJYz/XUifn+qaP6dLxfn4r15i4Ov0RKfCBw17rPcLVFq/NDs6fV0chFushfBymSQRTJIu5dZSpSxX95V7NjmKrQVrmDLvBURH995MvaxMIVOBO/6qhGDjG0QBW4yzG+eZ7X0j4SOpqh2Fk17upquI+tCLWI7VW7EUPxiKMleANyTJuK9bq6Gu/x7+/6TPLAhf+ABCLdW1reixhKUEfnzit9U8eMxRDol8W2ql3pQ1d+Dq4Tcv/uAOG19ceWbRI846aLfLWOZiqUXyoJ3rv+b5W+qWN8Y+l6pjzYnHjuzLev29KJFzshAcaOGctMYd1UpdV1dyCR8+rTsauEiw8ABBEVdJdzdcVrAQDPX++q7Gw+njs/9JzYVrUrd3boOTuvZ8VVNXtcXQ33mvHMtD4V64M0ySKedS9aXlnfrWYTQQShtLqulPSKhZBAROGjux6LP3fm2/pUrE+Jpg9amXzUyes5rr6ky7mO1XdJpXzAvWHFA6619fuFxrKN+mx8QL4y/ro+He9HNMkJrZXbuZqiTistL2DD1Eifqzhwz/rPMUW+SSOSumHmHEQIuTY0bqd8UiFYsqohjpGslBzJXRo9YCVz83x9yTppTd2dEELiGrlmXa8u3sGOY9o6ZCjOs6P9USuZm8sc639Cn4kPcLVFqz1bmh/WZxNDkCJpAAAENyOHbwDTALoiO1lfkCiMzlvTqoLfoaY1dazPTJgjbh8KVDfQrZmUnXB5CB+zmM2SBgAAy8LW3ve4eqsb6BY1j5VUzF4or6EbfUEiDBFEwMEORQNaU7GiqVhJJ+yormGVpuFNc8KuAQMANA2rC3PmVFE5WdV7STuNSEgqsrPsgAERgGA5KBSVkVVd2/i94RKqAkAAbr9P+mA0Ys1kU06iopZu0jUnf/54/lWORxIiIKIZyF45px1PJRZbtBgGsprqKIM9+vmGFraT5SFP03DZwWV0zppKxq2oZS0qjcIlZHnPee2kZbyVOLNtYGVSdiKbdpKZlB1fu0XYk4za8x4fEbz2f2gK0oKE3K1r2E0tnewGioZMQxuzWnQjTyJqRwAGOFhIlgz16RdJEtI0A1mSghTGAHefUQ+/+f2UnJMZHzL6ikqpKkFC7mzKiXsDROjNMRha3lFmJsxhlwf5NBWrimznGtuY1ZIbvaWNERGA4DgkNK1k1xkG1pWckzFNbHgDZIiiIW2+6V7dPhQQJeTmeSRGZswJQWJcEEGoKs6yqu1kzI5MjZoD0Tlr2hsgQt4AWaBrWPUFiPD1/i5uhj8pgseMZ2Zca+p+UPSpfd8L3LnmL90bVjzAVRd2GNH0hHfnyo9QPqkod27oeX02MeRa13B36H3bvuLf0/lJM5GdcUzbAA62EU2yiGfc+mxiMHPy6u+8u1Z+lG8q24QY6qijm28c/JX+qePp17r/y7+/6zNcbVEnWx5sYpaapoxIcgRrZp5vLNtgpeUFI5oeZ0sCjfnBmTOkRwgihhJy54aeV8cXukkXH7QyStSYiQ+Iq2puY1sqtl9r+Anev/HvbNXIMSWBBnOxkvGp5b7M2LA0gDHOZi7DlwAAIABJREFUnh54KvHcmW8RAuNxdTXeJ/eMHzIWUuPBBzZ+gbjFVgJHNxVsO5ajW6qdU5NmPDvtqIYsrqq5HdEUBwlEAuLWJNHYwTa2HcO9selBABZDaiFD8ZBApNI9ftC9qelBRJHMO7ZRGGPgOLajGXK+f/KYPhHtcWQthVZW89jGdu7c0HNK7+RhSCJabK/eTYicD5IE7VrfeB9XVbhKuTp1wkrJ86RXCAktldvppZYtbNmmLWsputBbrU1Ee+Tu0QPXPlOhuXwzIXF+Z0y/dM2idQ36bGLIu6P9u4Ufve1bbEVBC8HTElNW0Iw4RjIT2Vl7Nj/IVheuBABA+fLYQa6maLU2HukGECLKLxXLl8ZeyQ9Mn0QsLWDHsbXRyCW2Ktzu3tD0gD6fHIUkQfvvWPuXtqKl6UJvDbYdM3Os99fL5mssKikwWxlu95IEnbsw8jLldxUXPLj5H/P90ycwdmxEkxxaZlp4qzAX0uP6bGKADnur3ZuaH3RvaHyAEDlffnDmlJ3Nx5W+yaN0ka+Wqy9ZF/7Qzq9jBzuUVwxb2Xw8+qvDXwJL9kdsO7bUWTuATVvn64vXJg9c/KGjGjJXU9iRPHDxhwBB5Lut4+MFD2z6e64y1G7n1CTiWRdTFmwiPWI43zd5xM6qCb6htIspL2jma4vXYACw3D36au7S6AFb1XOera3vl9bW7ydF7gU7r6XfspnAGC+SdRAmnjvzrczR3l+xVeGVQnP5lvShKz+3ZTXl3bnyw+hWCB7HcdwbV6jYcgxs24YxnxpxDFN1FD3DlIdaIULkooLnFq1xlmMihuI9W1vfv1R7b5GymrQy+biVUWJcbfGa5Q4EiKUExFA8FXSXu9Y13J16/fLPxLaqHUJz+VY67K22FS0NSbSsCsZR9Iw+FesTV1bvVnonD5NuoVRoq9zhqIZMuIUC19r6/fpUrD954MJ/sOUFzYtqMEhq4wuXrWRuTlpTf5d8eew1dXT+ghnPTmtjkUuQJljP5tb3Ycsxr/e7QIicF5IEpc8lhpIvnf++1FG717uz/cN8Y+l6W9ZSiKF4piTQ4Fi2cau2fX02MZjvnzzmWtd4j7Su/m4zmplUeibS4qrq2xYJJYICN7AwaCPz5x1ZS7HloRbfbR0fd21c8R6smYo6HrlsLKTGIEUyTHGg3rWu4W5C4vyIpnjSIxTos4nBhZ+/9gXwJusAth2bdAvPCK2V28W2yh18Y+kGUuR8dJGvDluOoY5HugEGmG8o6dJG5y8REucjRM6njsydpws8FY5padnTA08ZkdQo6RHDRiQ5aqWVBff6xvtJr1Soz8Svcg2lXUJLxVZsOyYd8lRo4wuX5Svjt0SG6KqTBwA8LbrJI94gGUYEIDIJO2oa//P8gT8GEM96EM+6tZ7Bl6mScDPiuXcVzol41s2tbLwTkiQLGUZw8vkU1gwZUiRrZ+WonZEjViozbSXSf4QD4s0huEhP+0ZpV6CIKjv5UvpJt48M3vGh4DaKQexS7D2WM1bStrAleUk/QUHaXgpXfO3J5E8AANed9L9bQAISjJsJ5GZzY0KhWI5txyJZkg+2hTcpC8pU8ebyu7KT6YF8LD/jqfG1yrPZMWU+N0bQxDtIZdt0dCVlxo28rag5K5OcUyekAB22LWwgBAk5ZcTVnJUWvXTQMh2DE0m36KOD/+PR+Bs3sZjBgx3Hzp4ZeEYdmj1jy2oSsYxkhJKViKVFJLJeSN/Y1umohuzolmrl1AS2HSOwf91nxJXVt+mziQGlZ+KwI6tJpiTQKLZX7eIXD+SL1vF3c6kIkWxZsImtDLfzjaUb9OnY1dyZwWeF1srti8Mkxn09daKZzEW829t/WfDgpn+kFm1POWxZuja+0M03lm4EtmNZydxc8qXz33etb7zPvb7xvnz/1DFwC7J7rircztcUdUKGEqigu0zpnzomra67U+mdOKxNxfoRSx/iV5RtWsxxvPmP75KiCufOD7+QH5g+ZcazM5AgSLrQV4s4RkI8LSHm+k2I2uj8JQAAhAQiPVta3sdVF3Zkjvf9JvH0qX8jJM7L1xR2Ejzjyl0afcWz+IzYABGcvlkw/TUgimRIrxi2UnLkLWUB2LH12figY1gq6ZeKw4/u+j9mIjuLGIonBNaVeuXiD+2cmiy6Y9/3IUnQ+lSsb7mSCwAAABAgRC5mP0kdNbdbOTWhjUW69alYH7Ztk6sp6iQ9YpjyioV8Q0kXJIkD18tLcgxTY4r8T4htVbtCj2z/qj6XHIYQIn1yoYf0imH35uaH7IwSyxzp+SVTEmjkG0vXL5FGN53II46RpNV1dyCOFvnG0g3ypdFX6AJPBSIJWu6ZOJQfmD4ltlQw2LINcINAaKVv8qg6PHdeWlN3h61o6fSRnsdJtxBkK0PtiKUFW1aTmRN9v4EEQQlNZZupgLtUbKvcXvTJvd+NPnHsnyFCJ5YLBSdYWpBW1273bG19xErm5uyMEmUrQi2Opue0yYUeR9VzkCQoxFCCOjR7NnO091d8Y+kG7872DxuziaHlrhU42MampQEMsJWU55XL469ZaXnBzhs5tjzY7N218qPZE/1POkv3i25RMbwceAFKnRv5nacP51/yBYhQdJmYAYqGTHMHs760kq4zDaBrKlYECbkRCd6yV1qYMSc1Fedff15+YvVmfnewkCxhOcQjBAgbANM0gIEIQJgG1r0BIpyXnawQJks4HgoAgJvatLEDHJIE5LY7xPdU1THNrzyd+4WctdOGgZeNJrBtYAkS4d6yh7kPAIB7zmsnGA7yLi/hn581JxAB0MSw0afknKycddLZtJ1IJexYOmlHTeP/BgYTJKAwBiAYJktKq6h6koQUy0N+OfLctrFlW8CcmzTHEAFRcQVVI2edlGW9dR9nW9jetk/MFJeT1amEFT16QH6quJyqdnkJP0IQOQ52TBMbdc3MqpIKqjaXsVPjQ2ZfRS29YmrUHIQAgHzekQcua+fknJPJZZxUNmXHk3F7Qc466bfbpV1e5OvcwO0U3chrmdjQNUdjWcjDNykTHAc40XlrxtAJ/fJZ9WhrJ7tR1xyVF9FbGqwRAoggATU5ag7EF6w5x8Z2fQvb4fUTBQyLOPAmN4Sax3Iias9DCJCm4XwyZkUwZnAwTC5bbmM7wB7u07slD+Fd0c6sPX4w/yzHQ+Ht1/Bu8CdF8AAAgHx5/GDywMUfBe/f8HnCLYSyZwae5htKu7DtmHL36KuWrCWxaWmkWyjID8yczC+y9huExtL1RjQ9mbs48pJyZeIQFXCVaGORS3TIU8nXl6wjeMYDAHjDSuLopkoF3D+iC301rq7Ge/XZ+GDi2TPfNqPpCbYi1CqtqbsTQIAggUgIIZEfmbsAAACZ4/1PGpHkiKMasjYZ7YEIElxN0erwR3b/K1McaDCi6Qm6NNBgZ/Lx3NmhZx3DzHNVofb4s6e/qc8nl52GYdPSnKVQNra8oEVordxhK1pKaCzdwDWUdhEC6yY9YuhWmH+CoyVgLbYoKT0Th4Tm8i1iR83t5kJq3FhIjyOKZG9aQ/zGhS0SNUYkMypfGj0AESLJgKskceDCD9myYBMAACxNr9/yZceGpdmylsKWbQIIgXtT04NMsb9OHY1cki+NHoAEoqSOmr18Y9lGvqGkS5+O9csXR18WV1XfRgXd5e5NTe+BJMEAjB1b0dLaeOSy3DN5WOkefcWIpMZszZSX5LWdgXs3dLHlBS2FH97dCAlEyd1jry4ny82eGXiKKQk0+G7v/JRdVtCUePb0t7TxhcuU31Xi6mq4FzEk72imgiiKVUfmz2PDUtXR+Uva+EK3o+o5fTYx4OimyhT76wN3d/2N0Fa504ymx+lifz3Wzbx8afQVbTre79uz6hPJly78ID8wc3I5Mg8SiAIQIvnS6IHEC2f/XVpddydbEWrNnhl8Vr40+nLg7q7PIpYW3u0G9c0wU7n53Lmh54MPbv5i6H1b/1npnTycfPnCD5YyrDaJq2r22Nl8HCBISKvr7sSWbVgZJcZWF3bIF0ZeggheecOfOhG9YswlhgFCBKJIxr1+xf2588MvANsxsyeu/parCLVChuLFldW3ERLvRzTJalOx/uQLZ78DIEDylfHX+fqSdQBBgikNrnA0QwYOXiL/po6JK6t3Fzy89Z+829s+iG1sF39633jqYPdP1ZH585AigGNYGtYMWZ+O90tr6u9iSwONdl7PudbW7xdaKrYhjhav2QBuBEggwrOtVXQMUzMX0hP6dPyqa03dXcLqso3a6NwFrjLUhlhKvGV1G3ZsbNmmPhvtUXomDhFuIYQYkksd7P6pZ3PzwxACsBxZtJg/RHKOoqWVnonDlE8q5qoLV+XOD79oLKTGhMU2Nzd4UwvAG+9p2WZ+ePasZ1vrI6Wfu++J/NXpE0r/1DE7pybFldW7EUMJhMh6xCXSR5+K9iYPXPgPxNKie3Pze7WJhcu588PPU0F3uZVRYkxZsImQOJ82HevXpqK910urWFyXRfJHbKva6d7c9JA+nxw2Y5kpwi0E1eHZc8JikGPLrXriEUuJTEmwka0MteV7J48YkdQYV1+yDjjYIXjGfTPbhjYTH5B7Jw57t7V+gK8vWZc7P/xi9uzgM9iyDdeaurv4+pJ1xnxyBPGM272h6QFH1WVbNbJsVXhl6tWLPwZvy4awMkqMLS/4F8onFftu6/iE3D36Suy3J75mK2qKX1G2SVpZcxu2HRuxtOCohmwmsjPYdqzEi+e+uxgcrWe0iYUrhMj5hObyLaGHt36ZcPF+M5aZYsuDTcZCejx3dug5wsUH2MpQe/yZU/9q59TUrayV20cGatv5NQwHu2kWsdvu9X6QYRFf08L/YLRPvXSrh6d3g0VLI8VBhhYgQVDYtk1sWhpEkIAsI5E+T5mwrn0b6XEVw4bqrWTQV6X2jRx8N+/haIasD00cRzznRSLvRwzFW6nsLCHyfsIlFgDbMa1IbFAfnjjxx76/5RAup6ub1olbw2V0de8Z+bC/kC71F9Fl+aydljykD2OMaQ7ynEBIgUKqNBExZygaMp4gFT75UvpJ8MckeBAkPDW+VjWen1Pm5Qm+QCihXay/oLNoW2oo0Q0wxv0/7f4XxssGWz7e+RWpzF3rbQisHPp1z7fe/lpyyowf/+X0v2OMsak76kxvVl4YVa46i00kEAAAsQPsvtdjzxIUpEkKUQQF6WzMeEfN+ru7CQAJF+8HDrazpwefBo5j+/au/jNb0TLz//nK35T85f6fkn6p+Ga5XYijRcSQHIAACi0V20ivVChfHH1ZGZw5ZSWys2xZsIlfUb7JUfWsOjp/QWyr2omuYzO6HqiAq6TgvVu+DGmKczRDJkTWQ5cEGii/VAwgRIilxRsRH7kLwy+KbZU7uLriNZGfvvo5dXj2rGv9igcIgfUoPROHsmcGnoYQEWxVeKW0tn6/oxkKHfZ+w4xmJpazJ0KG4tjS4IrgAxu/YKbkhcQzp/9Nm1i4QvqkImyaKhVwlwXvWX+7e+OKBOkVw8Cyb4ngIVx8AGDs5C4Mv2illQXfno5PAADA/I8P/FXRJ/d+jy0LNt3oPo1IatSIpMb4pvLNdlaJZ472Pq70Tx2zcmoCkgSlTkZ7zGhmApKINmbjA8EHNv8D6RFDTHHgRTOWnrxeGQJECJEeIRR8YOMnXGsb7on898G/hRC+cm0PhR2MmZLAkLGQGifdQkH6SM8vKa9YCCCEmWN9v7ZSuUjB+7f/M+mXiiGEEHG0BBBEAIC3ri1BkFxdURNXU9QBMMZK7+SR6OOHv2QrWoou8tfxTWWbcheGX9DnEkP+fWv+nKsItZES5wM3UDQakeRo6tWLPy5437Z/Vkcjl5IvnP0OFXSX+e9a99fWIrnzuD4Tv+rd0f6ob+/qTxd9bM+3pY7aLyo9E4ccw3wHCYVIgiLcQoFvT+f7+fqSruivjn45d37oeYABRgLjBrZjeTa3vDdw51qBrQhhiBC6kT3P0QzFtab+R/yKso1Mib8+/MGdX0cMxevzqRErkZlxDEu1M/kY4REK+IbSDUsKTiS0Vu4oCXurlZ7JI55trYfMhfQ4Ni2d9IphushfW/r5B3axFaF2QuS8ZiI7QwiM20rKc0rv5NF839RRSBGMtKpmjz4d7cucvPpbRFOcf/+6zziqkdUmoz3LXSvG2MGmbWDLMnJnB5+JPXXyMdIrht0bmh7gqsIrE8+d+XbmRP+T3h3tj0IA4R+yTxZdhEdVHDkZsyIQAMgJ8C2DQowBLqmkauSsk04n7RhFQ0bXsCpIyE0Q8C37k8jcYkBvURlVXdfErCosISsWZs0pRADCtrHTuZGfyctO7tqgYG7KGlPzWC6uoGoAADe1WmMMHF5Akq5hdW7aHI/OWdPVDXTr9dQ/ctZOjw7oPabh6BMj5lWWQ3xFLdU0O2mOvPBE7ieJqPWOWAUAACAIiBCC8BpJYppYRwggb4AoyKTseC5tJ91eIrhcCYzLSwQECblDxWRpLuOkAcZY1xzVWaYpVFdxfmLI6JufssbWbuX3FJZSlX0XtVMECUgAgDE1Zg5Gpq2JwV79AklCiqAApchO9so57diZI8rLhv5OYgtCCBECCLzJju842GlayXb1d2tn0gk7ShCQTMTseYqG9JvvwHGAPT9tjru9yF/fwnRWNzAt3gAZktzI9+b3WApZduqa6JUsBwW3F/ndXiKQl3GWYSEH3pRbNXhFv1DXxHQk4/YCdoATX7Dn5Kyd7trO3+ENEK+m4vYb+wWSgtSu/VJw0apGVl8+px2V3MjbtJJdO9Jv/I+t+H9yBI+jmyrlFX9IF7jLXRua3uPZ0vo+fSY+oPRNHs33ThzGDnb4upK12HZMI5IaMxZSE2xNYWfy1Us/Sb166Sf6dKzPvanpIcrnKlZ6J4+YscyU0Fa5k5B4H3gTwQPAomKIDnn/wdEM2bW2YX/wgY1fsBK5WTMtL8jdYwftnJpAAuthSwONVNBdZkRSMaGxdIPUWbPXlrVUvm/yGFtdtMq1rv4exNJCvn/quHJ1+ni+b/KoPh3rZyvD7Yve3IGnsif6n7xeEC02bQNSBO3d0f4oYilRm4xeAY5jI5H1MEW+OkAgivSIoaWN0A09m4hnXNhxbEgSjHdX+0e8u1Z9VBudv0g1lHbRIU+VoxnKYgDhLQEDDHDmeN+vSbcYcnU13KtPx68KLRVbpY6avQAAsNwX3bFss+DBzRnEUJyrq/FefSrWnzs39Lw2FetDDMVLnbX7qAJvJUCQiD9z+pvyxZGXHMNSEy+d+57QUrHNs6XlfUyxv07pnzouXxh5SembOgowduiQt5pfUbaRqyns4GqKVhNuIWjGMpMQQYKtCq9Mv375Z7nzw8vWbtuyliFdwmPYtHTP1tb3B/Z3/Y0RSY3aqp5TR+bO584Pv4BYWqDC3iq2PNhiymqSKfLX8g2LAbpK78QR0u8ucW9ovJ/yScXq+EJ3fmj2TL5v8qg6On+RCrjL/Hes/nMjkhpLPHv6m/Z1KksRx4gQQcKIpMbYynA731DapfRPHgUYgKJP7v0+6RXDAEJECKznXdepXvvQbMemg+7fu7c0v4/yu4rk7rFXCZ7xuDc1PQwRIlIHL/2nNjJ33rOt7QNCc/mWXPfYq6RHCEmdtXsJNx9cUk8YACx+Rwoe2vKaf2/np5k71/6VOjJ3Th2aOWPGMlN0yFMZ+92Jbyi9k4eooLvM1dVwn2tdwz35/qljTGmwSemZOJS7MPwi1k019KGd3zCj6QnE0iJd6KsN7F/3GaY40IBt2zSj6Ukjkh6jC701rq7Ge61MPqZNRnsABhhblo44Wgzev+ELBMdI6vjCZYyxQ3qEEB3yVEIIEemTCm+6VhAigmMkbDsmIbJe/872vxFbK7fnr06fENqqdhAS5yck3r9ckObyi7zYMpc+0vO4sKJsI99UtjnfP33cvbHpPeJSLfZygc2IpUVEk5yZzM1h27EczZDnfvDinzmakfPvW/MXEEJ0PUUSxhgjijwdf/bMt4L3b/g7JLAebTLaAyFE+atTJ/ID06fy/VPHHdXI+e9c+//oM/EB15r6/WxVeGV+aPaMnVGi0uq6O7NnBp+hAq6Sggc2fSF7euBpRzMVpshfi9jlN/aQQCSAEJEeMWQl5XkrKc9jw9Lk/qnjVlpZENurdnPVhauwaenYtG+poh0xFKeNR7qtjBJlK0NthMT5jJn4gJXNxxDPuG5G8GDLNoXGsl+41jXcY2WUqNIzcYgp8tWJ7dW7bVXPxn93/H8bkdRY4L4N/4vy5YvlK+OvsZXhdjrgKiVdQnA5abQ2Ge3j60o+V/Dgpn/g6kvWUX5XiZVTE+ZCaiJzvPcJx7BUQuR8XFW4HfGM28rkY9KaujsRSwvmQnpCHZu/KK6s2SOtrN6NbdtSrky8rgxMn1B6J45Y8ey0uKpmj9RZuy/xwrl/z/dNHb2VdQIAgIYOYX1rl7h9vF/tXr3ddSfAAFQ0cq1de9z3ZRJWDCwFE/4xAAmCJEOBWqFrZQdVEm4lPa5CAAF0dEMBtmNBhhaocKAO0hRnjM+cz3f3P8vUVW0i3GIIOO8urNdRtRxE6PdLnYHwWpQbYmgeIEQ6qp4D2LH/mFXLN4KStdPxOWPa0Bwtl7YTEBowNmNMIAIQBAlJXXXymuLIet6RKQaypokNyUP6F0M3l894+kMACURQAu2S53JjJdsq7wu2hTfbuqWaOT2VGkp0G7KeYVwMyk2mB7kCoZgP8MWmYr5Dsg8XqWZEMwTLuygvRABCBImlZze0LWzYJjZt0zF0xcmqjmVTNGJt8w9TiEGSoBHPeAAE0LOl5b1Ugbsie3rw6ezJ/idJn1QMKYJBLC3cTIFJ8IwbMTSPbdtKHbj4Q21yoQextCi0Vu7w3dbxCa6+eK02GrloxDJTYthXAwAAePGP6ZZFSI6q59KHen6h9E0esVLyPFMWbJY6a/daspayZTVFuoQAIbCe61kqrIwS4ypDjxV+7PbvBO5e95n406f+1YgkR2JPHvsXbDsWpEiGrShotWU1CSzH9O5c+ShdFKiLP33qMbYiNAURJCFFMoTAuj3bWkNsRahNXFWzx0rL0cTTpx5jygtahNaKbUrv5BF9KtpLlPHNZiI3hzhaZIr9ddeaWG/4eRCIrPraox4AIXKtqb+LcPHBfO/kkfShK/8NWUpANMlChuLgYmPrsrBlNZk92f8kW1HQok/H+6NPHP0KNm2Dqy1a7epqvDc/OHNaG41cdG9c8R6+oXQDpEg69MiOr3m2t30we7z/SWFF2RFb1lLYcWzgODZAiCAE1uPZ3rrCta7xHqG1YhtiKN6zrfUDypWJQ+BNE3FbVpPGXGKI8klFdMhT5ahGTpuIXnEMU+MbSruU7rFXCYH1spWhNldX4735q9MnIEJXsOM4iCYZOuSt9O5s3+TbvepjTFmwCTjY1iYWLmMMHNfGpge9O9sfJUTOCzAGiWfPfFOfTQyyleE2alFBfl2CBzsYEzzzDFNW0Oze3PywlZYj2ljkUurVSz8B2LEd0zboQl81IXE+KyVH2OrCjqJP7/t+4pnT3+SqwkcwXrSNI46WSJHz+u/uqhPbKndSQXdZ8uUL/2HGszO+3as+bkTT47kLIy/Rhb5aRzfz2HFsrrZoNaQJFts3bmRT+iePZY/3/ca7e9VHAQAgc7zvCX02MWglcnNWRlkg/a4Sz+amh4z55LA+mxgkvWIhX1e8lgp5qzwFngr31tb3LRKIGC8NrrCtaOlr2VSUTyrKD86cSr166Sf5oZkzrjX1d7FlBc3pIz2P569OnyAkzuu7vfNTwoqyjdnTA08Z86nR5RcTY2zbJqRIRmiv3g0QIphifz22bHNpmJXgaotWQ4qgAQQAMTcuZLgeEILoI5/xuZSck7FMYHZu5HZOj701nNe2sTU7aY7GItaM4EKe+SlzrLSKrqNoSCPirQoe2wSm24v8FXX0iui8NePxEUGXl/ATS6roZMyKhEuoilVdYHvfJe3U2IDR4ysgwh0buB0uDzGZTdtvDHtoBjHlNVTjwpw1lU0t1pk7DnYCIaI4nSTjrz8n/zoYJos5AUnEdfJUTQOb7Wu5gwhCGJuzpgOFZPGp1/LP79wvPvyBP/P+fdc24cWhPv3SNaIHQgh9AaJg615h69ig0QMA6AcAAF3Dqighd7iYqiApQGVSTqK8hmokSPiOBjSGhVwu46SOvKz8vm0Nt1nJ4SxBQHK5fbBpYkPXsSa5kTcyY034AkSIIACJFklZkE3ZidNH8i/ZFrYECbnknJMxNKw+/HH35wpLyIrGNvbk+JDRq6mOCgAAFAWp+hamtaSCrBVE9MK1hi9NxcrkqHFVzWMFEYCIRayZ8hqqgWYgC972fLBMYFTVMy0Tw0b/7JQ5WlBMlrs8xFsIHkPHWiphR5MxO7Iwa03l0jDJi0gSJORm2bc2aXWfUQ/vuV/64JrN/O6xQaM3l7GTk6PGwNotwp6Pfdb/L+u2Cr+PL1hzDAu5ux52dXas53ckYtb82aPqAcmNvNm0nQyEyKK5KXNsuc/4VvAnR/AAAICZkiOU3/VFWzVynq2tj5B+qYTgGRdAiKT8YsjVVX+PfHnsNTunJlzrGvZnTw88lTnS+zgAGIvtVbsdzVRSr178MaRJDvGMm2BpYTHRHbwj9NZYSI2TEvd3mRP9T4qL7TCbSZHzspXhNkJg3AAiAhKQQDzrltbU32XLalK+PH5QG527SLqFAqY00KiNzl/InLr6e6Vv6gg2TI0pLWgK3LP+c1TQXZ453veb3PnhF99ej/4WIIggSdKOauTiz57+phnLTNOFvioq4CrLIUS4NzY9RCwm+9/08yJEzgcwdgiecREC60kdvPQT4GCHbyzdYMwnhwmB9SCOvjXJF4QEIBDl3tj0oJPXs5kjPb/UZ+IDbFXhSkgQFHawA67XOgQhgCTB2LKalrtHX7UVPUN6xJDQUrFZPrkFAAAgAElEQVSNqynsMOaSI/KVsYPaeOQy1i0VcYzEhH01dMhTmT0z+LS5kJ641rDj3dn+YcovFWPLMemwt4r0ioXypdED+avTJ5DIer072h9Vrkwcij916rE3h2m/HVZWiRMs/Q350ujL/IqyzWJ71U6CYyS2JNgIqwpXIprkMYAYUiQjtlZux45jK72TR/L9k8cgRTJsaWCFlZLnUwcu/ih3fvgFW1aTVMhb5dvd8XGmLLgiPzB9MnO8/zdW5vptMoTE+QGEyMoo0dz54ReWVGZVixsDJaL0TR11b1jxAOkVw8vVSN4qzGRuNvH82f+38NHdjxU8uPmL2sTC5eyZwWfygzOnbVlN+nav+hgVdJenXr/8M8ovFTOFvhqIEAkpkn278iR7sv+37vUr7ickzhd/6uRj6sjcOaGlcpt7c9PDcvfYqwBCZMtqivSIYYJjJEiTXOqViz/UZ+IDXE1hR+C+Df+L8ophO6fGCZH1AgAhXeAuT7x47rsQIUJoq9qlTS70ZI72PF7ymXt+6eimAhzsAAQhgBBBmuKN+eRw5uTV3zmKnmZKAyvsTD4OaZJzram/kxBYz8228pBABCGyXuA4NukRQ8DBdvLAxR8SPOMi/VKxEU2Pkx4hdNMWqP/7eiTBM27frpUfsXL5ROrAxR8akdSY2Fm7FwAIMAbXUfBQAqRJlg55K4xIesxK5uY821ofwZZtIJ5xO5ohXy+cGYDF/BlEk4/bGSXq2dH+ofD7t381d2n0QPbk1d9ZaWUBW7YR2L/uM9c89YSL92PDUtmSQINqWnrqYPd/AowxVxVuNxbS44SLD/JNwc1mUo7cKPcJEoh0b2p60LW2/m4rrSxkjvc9YSZys46ipfTZ+IAZz04TEud3tFsLDyVEzufasOIBQuJ8+d7Jo0o0PU76pGKvaekEz7hvxVuvjkcuJ1++8AP/HWv+IvTI9q+qQ7Nn0oev/FwdmT8PESQD96z/LNZMJXOs71dMaaCRCrhKAHgjn2P51xyZPTf7vRc+ydcWrREWQ5w7SLcQ5GqLV5MuPrjUAMaSEufjKsPtZiI7k7sw8qIxnxylC301VMBVkrs48nL2ZP9v1eG5sxgAwNcWr/Xt7vgYJBGdeO7Mt5X+qeO3WpEMAACeABm2TGyKLsIbLqer5YydGu3JX1ixWtzcd1Y5Cv5IBA9dUtjiuX/PI0xNWRc2LE3t7n/OGJs+jQTOyzbX3kZ4XIV2PD2FBN6r9o+8TrjEAqaheitTUdJpJdJTVvzd16QvTYsBAABAiqTZ2sqNdFXZWjuVmdXHp8/SxaFmuiQ8YMxEev8Y93gjRCb1UYpG/4Yd7FgWtigGzS9MGaPXfPUECUjbAhaEAFAMZGkGcRQDWZKEVDJq/mFql7cBO9jOjCX7GBfrc5W669KjySuOYWvpkWRPZizVO39q+kUAAOCCQjHr50LZifRVRCBSicjvsLO13x5+D+8mffmslQIYYE4iPd5itoJmCS4+lR/JxvR5ViBdjEBKlukYrgKmyBWgC48/Pv3v4Bamy9cDIbBuRJE0QIh0dTXelzxw4YcAO3b40V3/ypQGG0mPGIYQIkLifDfKokAcI0Ka5LBqZ7HjWExpcIVv7+pP83XFaxen/Y5BF/nrqICr9I08tkWy45aVbbZq5OQr4wftbD7hu63jE1xd8Vozlp405hLDbLG/HkAAF5/dbyuUeBO0iWhP9NdH/in86K5/Ddyz/m+1iYXLBM+6rVw+YcazM4TAuo255PA1NRDlFcOFH73tW2YiOwNJRBMi5wUAQGA7phnPTqdf6/6v3IXhF11djfe4uhrvy566+nuIEIkNSzfmksOudQ33MMX+eirgKrXSSvRmCh6CZyRIkyxAkHCta7g3dejKz6xsPl7wvq1fYcsKmqiQpxIAAEmRu25OjGNYOl3g+Y3QXLGNqynqDL1/+z9jBztie9UuRJOslZYj3p3tj3LVhR2x35/8hj4Tv8pWhtp8t3V8Ivjg5n/0RNOPOJqpAAQQWNo/QpKgAYEIfTLaG3388Jfcm5oe4mqKVlMF7goAwBuHblvWktr4wmWpo3YfWx5qTr507vtmIjfr6qzbp/RNHs2dH36BLvbXs2XBFcKKsk3Ff7n/P4355EjpZ+81yz7/Hg/pkwpJFx+Qe8YPpY9c+aV7c8vDnq2tj4gdtXuZIl8dIbIeM5adzhzv+0329MBT+lxiOPyBHV/z7VvzF2x5wdetpaEMth0Lm5aO35S5Zef1HOWVvkW4+IBvT8cn8/1Tx2xFT1MBV6k6NHsGMpRgy1pKHZm74BiWik1LD9y7/m9dGxrvBxhgxFACYmkRW7Zh5/WMOjx3Lv7UqcewaenhR3d9Q5uOXbXHFu3Q+lS0R2yv3i00l2+li3y1ECES3CRg25a1DFsR+h5bFW6n/K7i3KWxV4xIclRsq9rh3tb6CFsWXAFpkjMi6THEMy6CZyQznp3Gtm06hn3NXdBK+sRCbXzhcu70wO/NZC7i3bXyw9hyTPniyMtK/9QxyiuGCx7Y9PdWWllIH77yC0hTHN9Yup4u9NXyjaUbsWlp6aM9j2NreSUXWBwqOwAAyBT56giJ86mDM6etbD7m3d72KOkVQ7lzwy84miEDCCC6ARl5I1A0pAUJutNJO86wkLt8VjsWCBGFJAlJy1qspEYEJEgS0pOjxkBJJV27ehO/CyKAEALEctsH7AAnMmNNllZSdbrm5BkWcggtEkHReXtmYtjoXyJGYHkttQIAgDvW89trG5n2Ox9yHVFkJwshhO//tKexdgWz8uXf534GEXwKOxhjDLCcxemxQaOnrIZu1PKOTBCAoBh43f3qwBX9XOcGbufCnDU1O22OVdczLYaB9eIKquahj3s+q+Yd5e/+T0FcU7Fyx0PSldkJa7ihhenkBSSBpbOyoWMtVEyVzU1ZY6mEvUAgh7BMYCwRH2850+oqziuykyVJSKUSVhQhBlEUpCEE79gH2za2CkupymCYLI5H7TnLAhZCkLi2XqaJzRUr2VNrN/N7us+oRygaMpW1dJNpAH3Vem77lr3C/ZEZa/Lz3yjQkzE7sm4bf4YgIbVxl3BX30X9FFjK9KQZyJoGNkb69e72tdyWyg30DtGNvEtKn3fAtrA1P22OV9TRTWrekQXprSHLecXJTY6YAwQBiHTSjvMi5ZKzTrqumero3Mjv3HGnlBkf0nsnRsyrAIP0y7/N/ez9n/b+3VCvfilUTJaXV9MNiag1v24rv7e6nm5RZCcbi1izNANZTXOUuSlzlKIhMzVqDoSLyfJ0wo5NjBjv4C1uFX+SBA8AAJiJ7CwpcV/WJhaueHet/EjBQ1v+SVxVvSffO3kkd3H0ZSspz/ONJettWUvlTg8+jW3bdG9qfoirDLVf86xCkqCX8iqOGJHrMMYAgKU64YOIoU4QIuflqgs7pI6avWxZsIn0u4oRRbBWTk1kj/f/Rrk6eQwxtMBWhtuBg+30a90/tWUtDWmS9W5v+yBXW7QG2NiSeycOp1699BMjmplcrr7wGiBCqOSv9nsAxthYSI0TPOPmN6xYaytaxtFMGSw9RBBLCfAWsnMQSwkAQWRl87H0kd7H+ZrCTsTRYvTxw1/kG0q6gg9u/iIhcr6bvc7ia9ECRBApV8YPpV7r/k/EUDzfULbB0Qwl9tvjXw19cMfXl6pIl7kxgDAG2Ixlpoz55Ii4snq3tLruDmw5lhlNj3MNJV1iR83tCz9//e8hgUipo+Z2xLOu/NXpk/pM7CpbGW7jm8o3O3k9u7g26XEnr2eVnvHX1ZH5iwAhJLZWbPctZTBFHz/8JX02MXize7IXD6CnEEVeTL12+adMsb9BWl27T2iu2EqHPBWQpnhsWpp8afSV3Pnh5wHGmK0MtyGWEhb/7nJzkESU1Fm7j19RugExtJAfmjkTf/r0v+lT0d6316u/HaRbKIAEQTp5I0d6hALP9rYPiu1Vu0gXH8xfnT6hXB476OpquJd08UHwBxA82HYcgmOeRgwl+G7r+Bjh4oOu9Y33u9Y13IMYSoA0yagjc+chRTDZs0PPYtsx6SJ/HTZMFeO3KmGMSGo08dK57wbv2/B53+2dn7KSuf3Smvq7SL9UbGXyMWMuOezd2f5hrr6kK334yi9y54afBwQkfLd3fkrqrN1nJrIz2VNXf8dWhttJjxDSZxKDdMhTCUmCllbX3ZE7M/hM9szgM2xZsOlaSC12sI0ogiME1ost2zAW0uN0yFNJh7xVVjYfcxZzljAAACwRljemeBZl9gKAEOrzyRH7iPo4WxlqMzUjl/2vg59zb2l5n6ur8T7E3Lx9BSKE/HeudWHT1tPH+57InRt6nvSIIaG5Yqs+vnBZH1+47N3T8YnlfMqIY1yIoXhIk7zYVrlDbK3Ypk1Ge9NHeh5f3OgSFCTJG/rKHcPSIUIv5QemT9KFvlqps26fZ1vrI/pUtDffP3XcMUw1fejyf7NV4ZWZ431PqKPzF5iSQKNyZfw1SJEspEgGiZwXMhQvtlXtIFx8IHOs99e5c0PXC5PEixtxRMvdkwe1schFRzVyVMBVgr1iGLGMCCmCxaal29n8LdlU2PKCFrrQV2NnlJhrXcM9BL+YcUGIrMfK5GM3bdYBi9Jz0i18Fy4eWO4mg+5yz/a2D3m2tX2AEFgPtixDG1/oBhCi9KErP0ccIzGFvhpHN/PXO/ot2Z3mIELPypfHDxIuPsA3lm6QOmr2UiFPBekWCgBCpBnPTCdfufgjdSxyifQIBVxd8Rpb1tLJF85+x9HMPOJoyX/Xur9mq8Ir7Uw+lrs48rJ8afSAlZIj71aVZ+pYYwUk7nrQ/9G87OROvpT5bbCIKpO8ZGApn+cPBiRJKvDJh79ESELQiibHsG4o2DRVQCAKEAQNMHCMyblLdjw1CRmKd3LyArBtk6kpX+8o+WTulePfNOei/+ONCAAA0MXhZra5djddWthmTM132+nsHGRZiSoqaAQA/P9O8AAAwJtzjSwTG4plm9eaNq6B5RFPswTHi4SbYiBLUZD2BsgwAOCPFnrtWI65cGHu9fKd1Q8BAIBU7m4gOJJ3kmokO5EeMLJ6CgAACteX7WP9fKEpG5lEf+ycpZrvIFhLVkirCqqExsR0fpRiCC4d0aYRAQnORXoplhAICjGm7qjJOXmSc5EeQ7UVhCDiXNS7ylR6OwiB9QICUQBjx0rm5kiPEGLLC5q52qLVSs/EIUggkqsu7FgaelyXOIEkwVzLv4EIkkxFqBWblpE50f9bbNkGXeCp0Kaivero/MXQe7d+mQ66S8G7DLyGBCIRTfLu21bdJzSXb7VkNYkxdkiJf6MNkXDxgesOtMCi+ACSxPHoE0e/HP7gzq97toUeUXonj2iXxw4ac8lhwsUFSK9UaMwnR0iPGBJaK7ZDApHaWKTbyesZaU3dXckDF34oXxh50dEM2dHMPOJpia0IteUujrxsRDOTZio3x9YUdfr3rflzM5mbMxO5GX4FuXFJZXnDZyDiWc+i9R1gKyXPEzzjljpqbucbSzfkr06fwAAAvr6ki5A4342aB814Zjr+9KnHij6597ve21Z9YjHXb+ooU+yvE5ortsiXRl7JXRh+0YxlJgEA0LOt9RFsWJoyOHPGTMpzQkv5VqbIX+ssNn725y6MvKj0jB8iJN6vTy70IJ51+25b9XGupqgDvIngwZZtSatqTlnZfMyIpifMpDwXuGf95/TpxewcJLCe1KsXf8xVF65CPOMmRNYnddbugxTBAAiRnVXjiRfOfEcbjVxELC3mzg4+y1YVdpjJ7AwkEEUDT4U2FevDlmM4qiGrw3NnM6cHnvLt6fwkW1HQYkZSY1ZWjVtpOapcGX8NAHD4LeuSykXoAs9XiA/t/IZ7c8t7jbnEUPpY3xPq6PxFAACk/K5iM5GdzQ/NnhYaStcjmuLMeHZGG1/oFprKt9jZWF/0N0e/Ysta2tHNPHAcy7O97UNWJh+Xu8cPYtPUgIOd0CM7voZYSjBjmSlsOSYkCPJ6xQxvhj4V64v//uQ3Qh/c8fWij+/5jp3Xs8Z8cthOK5Hk1enjViI7S0icX1pddwd2sJM+0vNLpshfR3qFECEwntQrF3+kTcX6rFRuHutW3soo0Xz/1DEMACY4xuXqarhXXFVzmz6+cAWbtu6/czGXMnt64Ckjmh5HLCVkjvc/me+fOn4DWzGECJLAdqzs6YGnYr87/jWmJLjCt3vVR7HtmMlXLv5Ivjjysv+udX8NAITEUsvwuwVFQ1oQkausiq43TWy4vYSfJCHFLrZjZQEAgCAAyXKQk9yEl6YhOz5k9HECkipr6SbHeedvlZp3FENzVJaDvKbivCAh9zUiQc7ameoG5gef/Lz/642PuteMXjUuH3lZ/v3rz8lP7H2P9OG1W/g9Li/h7+/WzsTmrZlLp9VDDS1M59mj+QMAAAVCADXVyUMIYGEJWUEzkA0WkiVvr/F+MzTVUe940DWxc7/43oEr+jmGgzxwAB4d0K8EQmRxJmnHIARwfNjonxoxr1IMZDIpJ35NRQPAYsi0ulggYKeTdlzNO0rLanZjoIAoBG+LEaBoyGh5R7EtbBWVUpWK7GRZHooE8U6eATvAyctONhG15y0TG/GINfvm9QIAgNi8NePyEv6u7cK+kX79MsNCLhG15lNJOyalUTIRsyMUBekr59TjeQXn3F7kzytYfvO+m2YgS9GQ8QaJkJp35LFBo7eynm62LWCBZZ43iZg9T7OIRQggQ8MqL7yV4FHzTr5ru3Do45/zfdUXJMODPdp5jodCKm4vPPRx92dNAxgXTuZf+9Fjyb/Py44sSOhgaSVV17Wd39t3UT997BXl6cISstLlJXwEAcnRAf3K5Ih5dWHWmlrZxW0rqaBq52esCU5AkuhG3teek3+VXyb8+1bxJ0vwAACAlVNTEMH/UgdnT0udtftcG1Y8IHXW7bNz+YSZyM3ZspoEtmMG7l3/t5AiaHFl9W0Ex0hIYDxYN/PqWORS6uXz/5E5cfVJM5a+6eZrqdFEBQDMIYo8wJQEGvjG0g1LqpNOcVX1HqG9chflkwqx49jq4OxptrpwFeV3lUACkcrVqePpI72P569OnzCj6Xd4q5cDHfZW08X+ekgRjPe2VR9zb25+2M7mE6RXDJnx7LSZyM4CuNRWdSsNP6alIZrivTtXfpj0SUUER0vy5fHXhKbyLXxz+RaCZ92UTyyEBELYvv71QYSQe1NTyDEWA8/8d677K64qvJL0iuH84Mxppthfh2iKezsZ8MZ1GLYGIQD8irKNpFsoICTeb8ynRqXOmr2ezc0PQ4bis6cHnhKaK7Z4trU+AglEylfGD5EeoUCbXLiSOz/8oj4V63d1NdyDBNajDs2eWXow2EJT2WbXuoZ72Krwyty54eeSL577nj6fvC6BtxyWAvyiAIAoJNAJOuSt5BtKuoTm8q18Y9kGvr54LVsRaiU9QgjSFKcOzZ5hivz1ZMBVQrC0qE4sXM5dGHkp3zd1TJ+ND97KRB5CCIMPbg4jhuSpkLtC6qzZS7j4gNw99qoZy0zlh2bPXPtlggzFLcd8vxvYqi5DAv1YG1/oltbU3elaW383XeCpuNYWRXqEkNw99qprXcM9YnvVLrikLHp7YJ9jWDrB0b+wU/KCa33jvWJn3T7CLRQAAIBrTd1dYkvldtIvFduymmLKCpq42uLVpEcIGQup8eRL578vd4+9YmXzSYJnJFdX472+2zs+RfqkIv/e1Z/GtmOzVYWrwh/w1ZA+qWhxgqVlAMYOWxluo/xSEaJJtuChLV+yFS2NdVMl3EJQn4r2YQdbGGMMaYq/LtF4DRhjx7A0QuL8gbu7/oarLuywFS2t9E4cFlfW7OHrS9YREucjXEIQAHDDGlNIEjTp4oOOZsgEz3oK3rP5H9mq8ErE0qLSO3l4SX1FgWW8x4ihOGw7pp1WFhzL1gEAkAq6ywoe2PQFyFCclczN29nrK8DeuJ3F35YUAOAswTH94njksmvjigdCj+z4qqMaMmRIzkrK84iheKGpbDNd5K/l60vWYdPSSb+rWGgq2wwJgtImF67Efnf8f+fODj1nL9PwB8BiphZ2HJt0CQWera3vB1ta3gsc7GAMHLyY/eAs5V+9YmVuRvAsRioABFHu7NCzxkJqnHDxATroLmPKgs2EwC7m79xKAw4AwMooccRQX1P6po651tbvlzpr95FeMQQRJAGEEAmsO391+oR7W+sjfGPpJsewNDuTj92suWJpfeWlfxOIpZ/iKsPt/IrSjUJLxTamNNjo/v/YO89oO6767O8yfc6c3m/vRb33YstNrmBjbIMpeQmBhJBCskKSFUIaaSQBQkIJCQECxDbG2MYW7kWWZPV+pdvvuf30Pr3s98M9MrLVi8Em+q01X6S5e/aZmXNm9r88z7reez0b5t1HB9z1VlnJaCOzh1wLmjdTAamOGJZWPTr2Yu6pPf+q9k/vNguVs/a8XwwzCX1w/mrXZoQJ1ben+srwMWX/sk2Rrcf3VF/JzBhXRYCYCvqaEc965D1HHkIC58EeKYrdUoTrbrvOnE4dN2fS/XQ83AMRoqDAe9n2pnV2sTyjHht4mvJ5GuxyNX2+RMbFwDTXLaP8vkZzNtNvF8szkKF5LAlB27mycS+XcB3TtOFO3wff8xsRA1OAtk1gYhpQ9/xmxAUAAAyHONMg+uhx5WBDBzcPAPCfV+vYxCEEM3gvBBDWbWy6yxWTmstjxZOTL44+kh/IHnRq1RViRKzHNGY5vxBJPDv8g7ONdXJ79mcTx0r7KBZzvAu71YpVcoe4mBRgI3LByEh+JmzbxHRsYgteOoAQRKkR+UQpqZ2hA3YpYNec+54+nRso7+5/nGuPLYUYUanvv/xn1UMjz54S6a1VYJ7z+w4RRHNNfBBBlhbsspKDCCGIEaX0T71efOnIdym/FPNdv/AjfEfdCgDm3oMuZa4QIxqxNF/c0fdwec/A43TI08i3RpcADwBGqjhGecQwdgvBCz1niGWbkMLbIEZU9CM3/KOjGhWrKKeQxPv59vhyrjmygA55Go10MVF6re8hu6oW2LpgN+JoMf3w9r9Wh2f3W8VqEhBCmJi/3b2q6z1sXaDLKlZTEEFEecSId8P8+7VE6ijlFSN8Z3wVFjkvcIgNaXzOyk8AAMAi64Y0Zsx0cay088SP2LpgF/YIocyPdvxtec/AE9LyjluFjvgKLLAecI7WDwDm7k2I0fbsE6//S/QjN/4jAAAAx7GJZRvK4PTe0o4Tj3Ct0cWOYWmQpjhEYUafzg1UDgxv06eyJ/n2+HJ9JjdUfPHId8p7Bh43c+Up35bFv+Za3Hpj5tHiuD6eOgoIIVxrdClE6OHT36OV/snX9cnsSbYh2Bu6d/2fMnPSCSOObipWsZqi3HzwVDAd2I4lLmy5nmsKL+A761aXdvQ9bMta0bNh3v2lHSceyf10z1fooKcx9P4Nf8aEvc1mrjwtdMZXEsvW3Wt77hHnNW3ku+rWQIxobTR5iIn7O4WexvWQxozQ27geC+yBt1aMG+niOFsX+BxkaZ6tC3YbU9mTACOKjXhb+e6GNUzU1wohxNVjiZdKu/sfpzxCkI0HuioHhrbJx8dfMXOVGWKYChY5n7io4zZpeeetAAJE+11xpX9ql/e6hR9yFK1EDFOlg54GrjHUi1hapGrvY+e9Nx3HQTT1NOIZKfzApr/APONSjo+/WtzR9zDiGNG9uvtuvi26xCopGXNwZq8ta0WrLGeI41in1iGn3ovtspLNPLrj72xFLws9DesCt638lLig+XojWRix3HzAyVla/mf7v66OzB6ig+66yIe3/L1VkJOZn+z6olVSzvl+AzGiEMe4HNPW1dHZg3xLdHHwfev/hJiWXj008hywHTtw5+rfF3sa1gEIUa3q7ZKhacjyLixlUtbMdMIcyqbs6c5eZkmtdacMwFwTQqyBbl1/o3jX8An98L4d6vNtXcyC+ma63TlLS64gIhfHI6HvoPZ6fQvdsWgFvxGdlpQf6dePLVvL/9OHP+3/M0V2qokh40TnfHbp4d3qKywH+cd/UP6GrjpKtJ5u8gVx5JRQMwBApihI6xpRsylrGgAAmjuY3kicauRFeN4Kph3Py0/yApIkD/KnZqzx7/174W8aWuiueAPdGo5TjXLFKeXS9mwgguNN7UyP5EbeYt5+4/ogDBDNQLZUcHLFnJ1pbKO7WA7ykhef4erMCVDEGGJNI8r4iDGgKY6CMMQUDc+oDIcIIoqGzOSYMZicssbnL+XWYAyp089XLm0nn3m0/N11N4p3Sl7k2/Wi8lQxb2c23CTexbCQa+9hFx3bp+7QVCL3LmZXMSxkGRbybzgjAgAgAmjeUm6NKGHPkb3q9pGTxpFAmIoZBtHOlk4IRai6voPa68dzdgZCCGu6Om/i6D51x77tynOxRrqF45HQd0jbXczb2XCMqo/WUU2BEBU9pdEkV5yy6EL/PpkwB+cv5dZ2L+RWGLqj8QJyuX044DjEQQji3iXsakMH2r7X1OdoFnJuD/Lv264+139M238lGovv6AAPAADUyiBPIJoaKb12/CEmHujgO+tWMzFfGyUJAeTifdjFBxzT0rShmX1mrjxlpIoJbSx52EgVx+yqmj+XsNv5qFViHIUY9ZV29D1CeV0RtiHYW+vJbaJcnA9yjOhUtWLh0Miz1UMjzxnpYsKR9dKlZGitkpyu7Bt6iuiWcnpbglVRs2DuB5lT+qderx4cfsbRzszOvRUtkT5WPTr2EuVzxSCCyMyWpyCNGSrornc0o1o9OvaSVZLTFypeJo7j8G2xk0rfxHY65GkAAAB9OtuvT+cGIIUZWJuXPpHpO5uwKjHmsuRY5HzqWPIQhBB5tyz+NSRwHqskp+mIt8W1uPVG18Lm6818ZSb30z1fUUeSBxzNkBFDC74bl/w/99qe92ljqSOnxJDDH9j8l1xzZBHEiNKnsieT/9XNfWoAACAASURBVP38H8jHEq+cry3rYqiVIg9DhEbLeweepNxiiIn7O/nW2BIm6mvFEh9EPCMRy1YrewaeqBwceVafypywK2r+kvQhIITAIQ5kacG9pudupW98e/Xw6PNmtjxpq3qZGJbGt0aXQjjXmnQJEgIX+mx7EEsfLTx/6L/YukAX3xZbSoe9TZRHjNAhTxOiMWPmytPaWOqINpo6q2irrRoyRPBJuW/8VSRyXtovxZl4oJON+drpsLcZ58pTkMYcxIhWh2f2V4+MvqBPZU/aZTV36vtgK3oFUviH8vHEq9LS9ltcS9puwi7OpyWSh8uv9/+EGJZKCAFWvjJNHMehA+6x8t7Bn3It0UWnz8Usysm5kmQC5CNjLyh9468Ccv7rMPfyObVbGKjfzUR9bY5qVOySksEc4wIi9pq5yqxVVnJEMy7saGDZhjI0vYdrjS5i44FOAgHQRpOHAIIIcbRITNtQBqZeN5KFM3pn5ZMTO8b/8oe3AgjhGyX1p643BJBYjmllS5fUcmOrehUi9LjcN/4K5RUjbF2wmw57miivK8K1RBZhF+9HAusGAEJHN6pEN5XCC4e/rQ7N7FNHZw9ZhWryfCKNSv/U65X9Q087qlHVEqkjRrIwapeUtKMZMnGIPad4AaGj6KWziUa++dw5hjY8e9CRtTISWS8T9bUShzh2VS1oidQRM1OekPvGtzuKflb7z7NRC8w/jwV2d+7pvV/lGkO9XEt0CR10N2C3EGDjgU5IY0afzvabqdKYeYnnFwAAHM1QAAC7EI331RaUca5xzqmMCkh12MX5kMB5jHRxvPjqsR/IxxKvmLny1JX+NgEAQKJfPfrSj/Pf9QSo8PiAdsztowIn98s7cmlzJpc0p690fAAAoML+NsSxLq6rZaNdKE9z3W3XOYpaBBAguj66QN5z5H8hTbFWrpCwcoUE4lkP0xhfoh4d2KYPJnZynS0bEM8dcVTtoq/bmZPAjKNqZacqZ4lhKpTf0wBZxnUx2em3A7efCnmDVEQu2yVBwu6R48oByUv5Hcuxc0lzyh+l63TFlikWscycg8ZVxTZsAyK4sziaP05xtGDrlmpr1psqtvr++9DfIAZzxCG2llPOGkQc2pN/GaE5n0CIIAIEkM2/1vSHlu5oLj8TOrQt+ZBasYq2SUyKRVzrcu/GctqYqRbMKxKNRiLngxjRiKY4cUHz5urR0RflY4mXie1Y7lVd73Gv6b6bOI6NGPpC5w4CAADtl+Lx39j6VcorRohDbOXk5E7EMy736q73ENPWAITQkbUSFliPrRny6S/6FwJiTCGelWBFzbmWtN1slZRM8bW+R+yqmvNumH+/0Fm3irqIVmAA5oI8iKGeghRmw/dt/BwWOW/yuy/+cTlbnhJ6GtepQzP7Sjv6HoYsLbIxfzsAgOSfPfAfACLMNQR7Fc2oCt31a10Lmjc7lm1qk5kTxZePfs/RDJltCPdaJTlV2nniEcothPy3LPsksWwDcYyL8roi4LSKlzOuh8B6EIVZACEU5zdvVvond1W27fsaMUzVtbTtZs/G+Q8AAGAtmXj+QJbt2FhgH8Yi5wvcvup3POvn3WfLWhHR+BViWlr18OjzmGck/+0rP00F3Q1muphgIt5mrik8Xx2dOZDfduDr+mTmBIAACj2N6wBGdPI7L3wWQABO6ZqxcX8Hljg/AOCNBaet6GX/zcseif36zV/GLt5XfPHwf2ce3fF3Zq1CzL2q+67KnoEntLHUEVvVq5RXPOG/edknmJi/g40HOjHPunI/3fuv6ljyEBY5n/+2Fb/tWd97rzqSPKicmNjpvW7hg1xzZJE4r3GjkSyMZh557a/da3ruARAifTxzvPDcoW8FblvxacwzEsBn1+szZvNDyW8//4fRj97wj5EHr/9C5rGd/1DeO/gkHfO3U14xUnjh8H/bFTVH+VxRJuJrLe8dfFIbSx7mO+pWOrJWgrQU921Z9FFbNcoAAFh69fgP1JGZAwAhjDjGVd7d/xNiWrowv3mT0F2/FvAspvyuOGIo9kJrnVqL98Nmrjzlv3nZJzybFz7o3bLoo2a6NF7ZP/R0/mcHvkEs2+BaooulZe1bscQHbFkrcs2RhVjigxAhbCTzw4WjYy9RXlfUf/vKT3s3LfggFjmvfHTsxdy2fV8zpnP9VlUtIJpixflNm/23r/w00S019b0X/9iYzvafb36QwgyWeD+wHdOuagXEMS75yNgL+kxuyDEs1bOm++6aELRVE3EPXY5WJc0ARhSh1NbNLQyEqVj/EW2vZQELnlZB4jjAYVjI+kM42tbDLoo10q1uD/LnM3ZSU50z1mKSB/t7FrMrk1PWeLSebna5keet1SuH92qv5j+fSa6/Ubzr7g97PlXI2uk5JyhQjMSpxo03i+8xTWKW8k7m5aerP6qW7CIAAEhe5BdE5Jq3hF/bvZBdrqmOfPKwvocX0HkDPMW8neV49B/+EI4uWM6tW7tFvIM4xDENoh/dr+2oVSkJPYu4lbEGqvXEYX33zhfkJ0/9fThGNXj9OHTTe10PmgYwbJtYDId4igJnBm0ggMEIrtu8VXyfphJFVx0l3kS10syZbWQ0DRhNdeRoHd3c1Mb0TIyaA/EG2HL6Ps7c2v+gx4cTkTqqac1m4VaWZ5cxDOQKOTt9YKf6om0Dq76Z7uhawC6zTGK+sq36o1zaeqNd2jKJKXmwzx90IsvW8tfPX8qtaWylu544ou0lZ9Esa2ilO5s7mF5VceRwjGqolJzCKWevU/vIFaccjFBfvv0+98fmLeXWrt4s3ErRgNm/U33B7cMBRXYqjv3z5K5cdSoIwccPva6+Eq2jGpeu5a9fupa/vpC10tWKU2rrYRaOnjSOEgBA1wJ2+cAx/cDOF+QnMkl7xrnEStS38o4P8JyiVnExWdsuyl72alBbIOdq2wkAwKNXc/xa1vyvatsVo87ZWN6JaIoBEMCz/uB//pLGuuO8O/3J2f/Z0U3VsWzd0cyqa0HL9a5l7VuZkKeROI5tpIpjjmpUHM2Q7bKSQSLnc6/qvkvobliLRc7LNoR6mJi/AyKIxO6GtYQQ4qhGWRtLHq0eGnmueizxknJycmdt0XXVqD0kSrVtGACw7WqPzzVHnqT8rrjQWbfSs27e+71bFv/aW0XICCGOlS1PXUg471KoLYLHatsz59zxC+ceoxZsLdS2MQDAJbvb1CqdEgCAb9S2c2LmytMAgE9dcNA/v4jjzn2Pt0EIfwZpzNTcGs48v399EWPN3SdP1LZzc5axHNWQAQCXVG12NvzNUmfTyvD1pRk5IWe0Wd5DT6klNW+VlTwA4OSVjn86ytD0PgDAA1djLKui5CGEH5nTwYGQ6KZ6oWqai6UWTBmobT85547/cvnHcObumVRtO3T5I108ko8KLt0k3ZKeMhL1bWx3KM40FnNWavr16kt2TS/gSqF8njpCAKFjoR6mpX6l/Pqh/1EO9D1G+dx1wspF99PhQLvWP/pK+dnXvgzA3IJY2rLmU+LqxQ+oxwefAzTN09FgBwDgwOXOQR8Y3U55pBgdj8yDPO+FGGG7WJ41JmePXI3PeKlIXhxo7OQXzCS0QW+QjhTS5mwgStdZFjEtixgIARRt4tqbe7hFu7YVf/R2zIE4xHE3ecOeVv981ssG+JBYJ89WxmmBfsRUzCrn5yN8WKw3ynpBz6vnFIKtvSi+0X524ydbAcKAIgSQat7M6Ip1asEir3l/fZATKalWwXPWqr6LAdfE0pmor9UqK1k64GkI37fp85ChWG00eUjum9jOxPxtkDl/5ckb44mcF2JEq6PJQ+rQzF5tNHlYn8yc0GfzQ7aslTHPuOiwt4UOeRodRb+keUOG4t2ru++mvGJEPp542a6oeb49vgy7OJ8wr3EjAADAOXepi8q6OIalI5p6lJiWFn5g81+G7l77R9knd39p+qtPfszMlacQx7ikpe23WBUll39m/zeIZRtY5LwkKNVRbj7oqEYl9/Tef0Mc47LKapaJeFsjD17/hdKuk4+mfvjK52uaaPdbFSVbPTL2omtx641M2NMEAHjtnOePZyVIY5ryuqJ2Vc1jSQiE3rfujxHPuvVE6ohycnIXG/d3QIZi4UVUi9cSNl820qXx0D3rPksH3PWOZsiIZyRb1orY64rYZTWX/sHLn9PG08cjH7zur5l4oGPyi4/ep0/nhhDHCO6VnXchnpXU/qldbEOwBwBAHEUvE9uxEMuIkKbPuDcqB4a3eTcvfJBriSzSJjMnrLKSYWL+9vD9mz5/KuCee2L3lyiPmPHduORjgdtW/jaxbbO0o++R/LMHv2mX5Awd9jYH71r9+96NCx6wFaPCNgR7mZi/3ZG1kpktTWIx7M0+/vo/Ux4xxLdGF1cPj76QeWznP2AX70M847KKcupc91gtQTbI1gc/G/3wlr8P3L7ydxzNkAvPHPimVZSTtqpXhZ6GNdjF+fLPHPimPpMbQizNmZnSOOWX4sSwtNKOEw/bVbVQ3t3/uFWoJsP3b/o8IMTJPrn7S8Zsfsi9pud9XEtkUWnHiYe9G+d/gA5IccQxLgDABZPZtTXBS4hldou9Devda3vukZZ1bBXmNW00s6VJiDEFAADKwNRuRzcVJuxpZqK+Nkc3lfKukz8uvHDo21ahmhQXtlwvdNWvMdOl8ezru79Ueu34Q1ZRTmOBlaTFbTe51/XeO+dwOfh07sk9X76YKntIY4byuiLEcWwzVRyrVfWHpKXtWz0b5t3nWtR6Y3nvwBNaIn009L51f4IF1o3m2rQuypHyFKpC5OefqP5w3w71BQjm7MD7j+r75YrzxjXNZ+zkD75e/IdQlKrXNUfRdaIRBzh9h7TdlZLzpuNVK07pp/9b/o+TR7V9maQ13b2QW35sP7WzWnGKp+9nW8QGAJzAGA7UNdFtHfOYJcEIFWd5yFMMZna8IP90dtIaGz6hHz69kkYQkdTazSzw+FHw9ZeVp2cnrbE11wm3cTwUKApiyzqzWvwUNSHiMYhgIhBSX2pspTtDMarB7cV+XoQuXkTi+LBx8vknqj8Y6dePWebPbdKnxq3hh75V/CfR9fNWJbnqlEf7jaNvPU5y2hrf/qz8mD+Eo5pKFMskZmLYPKEpZwbDphLm0N5X1WcRBpgQ4GAEqJeerj5ytn1Lc0LTeZqBffXNdEe8kW71h3BE8mAfxQDG0Ij66jPyY30HtV2ZpPUmd9Rj+7Wdj3239G+8AEVVIVXLJGb/UX3/6y8pT9untV47DiFN7Uz/j79T+uqrz1QfoyhITyXMIU0h8tmCLNmUNYMQ/EK0nmrq6GUX+0M4yvFQ7D+i7zu6X92ha0Q9ff/aGPnadlh0oW+19bCLGlvpTrcXB2yLWGNDRt+JQ/ruasW+/CTZW3jXBHjeCUCIEMtIcYxowSG2oRvlace5eovwi58HhDTF+2lKCBBCHMOsJi37za5N59KCwYhiaVoMAwAc3ajMnqvF6kpxDEuDECDaL8X16dyAOjSzzy7KqdLukz+p7Bt6KvbrN3/Jrqj59EOv/iXlFsPCvMYNfFt0CRZ5n5EsjGqJ5FFb1ktmupjQp3MDZro0bhWrSasopy6kc/NORkukjmGB/WPsFoKURwghjpHOqPp2CNGnsicvp/LsnQimEbX0vrZPtW6I3oYwxNnh8vE93xn8YjmpXFELwOVQCya8q88rwgjPv7NxXXSed3mk27NE8HOhzGDp2N7vDv4TqInLvZOpXQP1gjteBG0bolsX3d3ycYghzgyWju77/vCX1KKev9DfQQSRFOJjjSuC1zWtCm/JDJeP7f3u4BWEft4+1t/mva97qbi2b6+8PdbMdvgjdF28le06uqvyErhK1tyQYyVrJnWCCvvbMENzyt6jj5izmQHEMi5zOtXHtjeuoYK+ZqYxttCcSh0HhNhWOjeC1yx5kOtp34JYRrhSO3MzmR3URyZ2Y687BhmaJ6alGZPJY1YqO3Q1PuOlMnRU2fudv53+jGMTC0CALJPoEABoW8DSdUfhRSRtfTD4qVLOSp8tG3ilYBozkZV1N3TdP/+OzKHkdl9HYHFkZd2N6QOzryT3TD2DKKQt+4N1v5XrS+/2dQQWz1XTgb0XM/bI3sIrFIPYULPQtfzO2Ifqe917AAAg1CR0NC3ydM8MVo+ZhnNJbU5nzN8tBE9p5/Dt8eV8R3wF0U2l8PKR7yn9U7uF3oZ1iGfcc/ucR9vmVF+n7VjGbH7YzJQmAASQbQj11oICIPrhLSD2iVvjQnfDWmLPtZRcSlYfcbQoLmy+zirKaXFhyw2upe1bIY1ZRFPsKc1CxFDcBRqB34RjWgak8JO2alSCd67+/ehHb/hiZf/QU/KxxMu2rJXUseRhu6xkHcPSKbcQ9Gxa8AB28YH8tn3/ps/khwEAAGKE6IC73nfTko+5FrfeWHj56PeYsKfJv3X5byKB9ZR3nfyxZ13vvRBBRPml+PnmgyXeD+k5PSG2MTyfbQovALZjFbcf/6HcN76db40uqQXRmIttkSWWbUKMfqxPZU8Gti7/Le/mhR90r+5+rzI4vbtyYPhn1cMjzzmKXsYu3m+kCqPVY4mXrXx1Fgus5N204AG+LbaUDrob8E1LPqZPZE4Qh1hCV/0aYzY/lHtyz5etYvWMoKVVqMxmH9/1T+EPbP6r4F2rP+NZP+/92MX72bi/A0CItETqKBI5j2dB8+bArSs+pc/mhvJP7fuqlkgdY6LeVtdNSz8uLWvfCjnGlX181z9XDo4841nXe6/vpiW/DinMII4WHc2oCr2N670b5t9fPTL6Qv5n+74GbMdk64M9lE+KGTOF4QtVbxvTucHZ/3z29wJ3rPyd4F1rPqOOzBwo7xl4ggl7hyCNc5U9A09YxWoKUpgW5zWulVZ03lHa0fewlkgdPZX0wDzrklZ13eXdtOCD5T39j0OEKP/Nyz7hXtNzT2ln3yOIY1wE1LQdL1wJ9yYc3VAAAM9hgdudf+bAN6Rl7be6V3e/h4n52wGEkO+Ir6AkIUgcxy6+dOS7p4wVsIvz+29b8SnaL8WLrxz7H+XkxE67qhURz0r+G5fe0fDZe9/PhDyNRqo4lvz2c39YPZZ4ya6qxQtOCAAAaYqj/FKc2I7lmJbm3TD/vsY/uvc3uebIIiSyHuAQ21H0ijaeOubolgppisMi5wWXGOCpzFXGfOd8+5SLdgFj+C8UDWnbIpZ1nmRKtWyXIILfgmAuWAAukBy25yo8BsF5Ku5OZ2zQOP7cTyrfb+5g5jW3M70tHcw8fwjH9rxi/cxxLu7Zc0pfsLZdFOkZcwoA8OWL2bfm+PX1023Wz8X0uDkKAPjixc4DAABqZgd9te2iGBs0+mga/iXGFIeRK0QcBB3HVAzz5xblCGIKQogd4gxNjpYGCQCkdq7Gzjd2LWgzdqH9zkbN5WtHbXvbuBbguQRoivO11V/3FwwthhzH0kamXv4LcJWz5RcDgpiJBRd/KOTrvM20tEIqd/xRCNGPyQXaVDjGHWuIrvqAx9WwCgCI+hNPfRoAcFXdP05BTEslDrEgg1nKI4S00dlD6R+8/GeOZlS5tugy2i/V2WUla2bLk9p4ug9itB0ihAEEsFZYTea044kDCHGupA/xnUat0qACLuOH4d0IRBD7m1xdNId5RCEaQIDEABsFbxFpu8bFgTDE7pjQVM1os64gFy1OVkfEIBtFZ+l1/lVHCvN1AACgFoxMqMMzn/fQfjCXJTknFIvZ5tXhTfNubfygFOHrHJvYrjBfhzD88lsFdd8JNHVy82kGsp2LhVXP/DD3Ddsk5ppbPPeQi3yxuxiMkYk9bFvjGmNi9jDtELvmqOYAjGgq6G3GbldY3nPkIaY+upAK+VutZHaAjoW7jfHpg8q+Yz9y37r5s8C2ryjwTkeCHcQwlcore/4DEOLY5WrKzpemT3fa+kVSKVinMm5npa6N6zINop/cL78WbWTarvbxhairMdAbXuWYjiE1ebs97f6FEEJoykaJ9XBBJS3PLPn06oqcrE4gGrPBhZF14CIDPLblmOkxuT+dkAfcQTa26SONv5+bVEcpBjFa1aooRTNnavYVBWGpmiixrRlVYDnmqVZO78YFD3g3L3oQUpiBCGIrX50F4NzfO2KYqmPaOkYQs03h+WxjeN7p/01sxwa2YwIIEKQwo09lTtYEfi8BCJWTk7tSP3j5c8SydSywHizxfsonxcWFzdf5b1jy/2ot9JfUN00s24IIvqCPpY54Ns7/gO+Gxb8WunvdH+tT2RPqWPKINpo8zDVHDnnW9a5Fc+6T34IIUlxDqJsOuhv9W5d3upa03SR0N6yzVaMc+dD1X8Ai68WSEACWbbpXdd0FEcJ2VS3oM7nzLhaxiw9AjChHM+Q5W3VCAITQvarrLvea7rvnrgfCVqE6e76W3TM+41yg4xhi6c8InXUrPevn3SfOb97s3bzwQ3ZFzenT2QFjNj9slZQ0ojHr3bLoo2xdoMu9qvs9SGQ9iGVEAAFk44FOfSp7srJv8KfFl458T5/ODZwtSEdsx4YIPWXlqzPuNd138131q98wWkAQe9b2vM+9sutOQAiBNGatipL13bLsNym3EKB8rpiZLU9Wj4y+UHrl2Pf1qcxJx7RNLLCDZrY8Gbpn3Wf59vhyYjlm4JZlnyQEEK45sij2G1u/CiCAlFsIzmnEWBf8btSCNOOIpf9M7Glc579txacbPnP3D6xiNaWOJQ9po6nDWiJ5hNjEllZ03lF6re8hYzY/REe8zUJ3Q5SJ+lrDD1630r26+70AAOJa3HqDuLDlejrgrgOEEKG7fu2pVjptMnvS0fTLEmO1Fa0MADgEMT5WeOnId6RlHbdKyztu4zvrViGecRmz+SFiO5bQ27iBDrobXItab1DHkodzj+/+Z0hjVlravpVriy3l22LLsMB61JHZA5lHd/xded/gTx1ZK17Ku/tcq6EYIYap8i3Rxf5bl/8WYmheHZ09aBXllJWvzFQPjTwL4JxWC8QII/rcrqNXSi0Qc1HPn7dzjZJJWjMUDf8II4hPD77aFrEuFEz5RfNOm49pElPkg80dDTf9I0OLoWJlYtdEcvdXAADTGNGcz92yHiGKs2ytVKxM7CDEeUfN/0q4FuC5JCCiKN6nGeUpjGiBY30t4JcQ4AEAQgqzbofYpqLlRgQ+1IUQxYK32NYBMBedxBTrFrlQd2v9dR8R+ECHaSpZmuIDNCX4wdsU4HF0UyG2Y7N1wW5HM2WrKKek5R23OYalCV31a+igp1GfyQ9BCrMAvPGS8Et5kb/G2wuEEFEc5qYO53YVJ+Rh3scEaYE6p/r/Nc4PRAD7G6UOrWwUtJKRhxhixyH21Vzwv1uwLWKyEu2Z2J95uW1j7HaKxefMYgo+NtB7a8MHb/rTxQt9TVKnXjGLhADCCJTLUC0ZXA3Rq6uIy409CENqzS2eHaZBdFHCHlHCnnLeyloWMX0hKgrmWoevHIbmrWxhzC6Wk5BjJSocaNMnZo4wdZEM9nvqjZn0Sb63/Qbl0InH6Vio27Vxxccor6dO7Rt6nmmMLyaWpTu6cUGNuPNBN0QX0rFwl5UtjBNNrxDT0m1cSYFf0nOBZhBDs5BzbGA7NrEgBAhhiDEF6Ugj07rxTt9dStUuczxy8SKWruaxEUa4cUvrCneTpwtihDm/EMEMxc3smtwGEESslwsBAIBjO6YQEuvMil6gOPGCDoCnyE2po81LvGtLKW16/EjpdUCIkxlXh6UAE3ZsYicOF3cbqn1FLdCFFw//t9w3vp04xH7DxhlCBBHEACMMIUQEAKCNzB44n+GDPp0bUE5MvMa1RBcb6WLCnM2PGNnShF1SMo6qlx3LMd8YH0Fsl5S0mb64AA9xHNsqySmrUJ3lmiMLwvdt/BwxLQ0gREEaM1jkfZTPFTXSxYQ+lR24nEqt2sIvjWjqa/KJideErvrVfEdsOdcSXSx0N6y1itUk5lm3VZLTbF2gC7K0gHlWAhBAqyinlRMTOwovHPq2XVZzlN8VoyQhYKt6heimQqy5QI2jGVV1eGbf+eZR3t3/E30qexIQQojjWIDU3BERpE6/Hvp4+hgxLk2kGoA32sBfxTyzn4kFOpi4v4Nvjy1n60M9XK06CHGsCwBCiGFpZr4yYw3P7DOz5SmjVqltzOSHzFRhzLmAaUUt8LMfUvgI7XfFKJ8Uo/1SnIl6W+mov40Je5sprxhBLC1ggXUDhzjaWPKI/NPxryiD03uNmfzQ6XpxtqJXEEP/l5krT/tvWfYJrjE8/9TTAEu8n/IIoVrQi5i58pSZKV60uH3tvLzAhDwDfGfdKqG7YS0T93d6Ns57QFrRcTsxTBViTOObl/7GXAUR44IszTuKXjaShdH0D1/5nJEuJhBLi3TQXU9sx3JUo0JMWweO4xDHsfTJ7Em7ql1Ulcw5z+mcSP40AOBblNf1BFsf6BZ7GzeIi1pvcK/ufi/iGRekMAMggKzmr0Y+dP3fntKfsytqrnpo9PnKvsGfqiOzB+2ykr2c1ms053gGkcj7vNcv+qiWSB1VB2f2aeOpo1ZBTto1V12ht2EdnNMtRABduJ3wVwHLJBYA4JdiOPBuB2PGZZjVpGHJWcNUshjRIgAAIERxkcC8e1lGitu2Ictq+gS4Wu9U7wCuBXguAUJsAwIADaOSFLhgF4VZ94X/6m2YRy3bZZhyCgBAKMxIEJ5diNLtqlvZFFv7e3huH4oQx2IZd73jmKrjvH0tQI6iV4hlG2a+MpN9bNcX1dHZQ0zY28w2hnptWc0b6WICMXOWzW/XHK7xzuBUxQlEkDJkq2ybjkldpO7CNc4EYoht0zFKM3LC1+jq8DdJnSM7ktusK8y4vxtRC3pGK5uFQIvUTexz96EDAIArzNctuqfl42rByMoZbdZTJzQjjKjitJyYPJB51bnA3/+iuf2jod/lXdht6o4mSNgDACBbHwx+CgAA5LJVdOasPi+6XPl8Z0MJ5AAAIABJREFUQIxpKuRvdVStog8mdjAt9SsgRT2F3a6yo+glYhiKmcmPcj1t1xvTqRNGYvqgpgy/qA8ktrOdzRsQQwuOol5SmfxbMSeTR4EDbOxxxaAo+Nn2pnXG5OxhOhJ4zUzlrli36lLpWCSsXLrJfWtqUh81DaIDCIDLg/2cgF3BGN3g2MCeTeiD5YKVS03pV7UaE1KI9s8Lr0Q0ZhCNmIH/Pfal2NrG24yyntOLaobxcH4AAFAzyoyr3t3GB4V4dbp8hqj7uZCLZm7/EzPfa1vu2+gOsXHLIAaAAKQT8uBMf+WwWrGuWAdAn84NAQDO2l6HGcRwEuMlDnHssnne+8bKV2Zmvvmz34YUZohtm8S0DWA7JrEd61LFVc8YuyinZr/5s08jkfUghuaJYWmObiq1In0CwJx4KIAQOpohE+vyHd1qreUHIIWPopep70EKMwDNBVYABHPhQwRQTeuOEMsxiWlpxLA0YtsmcQiBCCKAEAIOcS71sxvp4jii0JQY4KKijwkxIi0ZslkpTFSHDMWSIYKQFSk3w2Ie8FgAAFxWwNae05k7DBE8Utk/9DSkMAsRxAAhBE8txgmZq8u2HRPYtkksx7yc1vuapt8EAGACQgghhWlIYQZSiAYYUXPnFkLiODYxbd3RTeXUNTz9HtTKZsGxHQ1i9FOlb3z76e+liGdciGckqyinQE2Pw9FNBfzXpc3VyJQmIULTlQPD2yCNWfjz+aFa4BMBcErrkBBiWKpjWDqxbP1UO9icPg4hcy6Wb1+lhFWspgEAacRQe/LPHPgG5XVFuebwAibm78BuIYBFzotoitMnMyfVROqIcnz8VTNbmnR0U76SShYzW56q7Ol/QpjXtIFrCi9gG4I9rsVtNxLbsU83c4EUZpHAukm2NG5fgiHDNf5vgiDFQ4hoWc32E0JsCN8wNCIOsQ1NL41jTLswYl3gWoDn/ya2YyrTmUPf5hlPU1me3ldVkr8U8UdCHCtTHHjaI9avwJgWK3Ly0LmCNRRmJYHzd6h6YYxlPPUIIqpYmdhVKI9v141Ld5O5WOyKmiWGpTq6oSCOFvm22FLHMFWlf+r14itHvx98r14Wexs3IBpfC/D8ioMZxCGMKFO1q0pOS2EGsae7FVzj0mBF2g0ggLbpGLZFDIghzicqA5Zhv6u1hS6HyYPZHYUpeZRiEQcIIPnx6jn1WkrT8tjA89M/EgNcTM5rqcTu1PPVrJYsTsmjhYnqEDiryfQvD6Vil+SKXaxV7WSySXOKpiFjmcTMpczp5Lg+fLWOZWULCQgAcBS1gETeS9dH5tOxYKc5kz6pHDj+mPvm9Z8xp1LHkEsISBtXfMzKFceNiZnDrk0rPm4ms4PmbPqkXbp8K3gAADCmkschxv1UJNDONMYXs10tG+l4uJtta1xNBX1/Z2ULl9h2c2X4wnS8c6m4plKy8gyLOIwhVSlaOblsFysFK9vQwc2Lt7Ld6jF7/4GXq09dzWNDCKAYdTUjClEQI7o0Ujju7wmtABBANavM0iLjBgAAOVkZ97T5FpC5xc9FL6yIQwimUPnE9uw2ikYMZhCrVa0ycYiNEMQIQ/x2Bjzj8/0rY/P9KyCC1OiO5DZwnkBlbcF4RdUJ5x7bccDPTTR+IdSCEpel3VgL/lxWUAtRiGrbEL2V97LBzi3x91q6rZZnlYmB56cfBQDsZl20p+em+vezEu0tJ5UJRqSfMmTzstp+anMlYK6q/KqaYZzzeHMBDwOcJiZ+Ps52D9YCKRfUcLvsOc7db5d9TmpVNr8wajqQOpj7flyVZML5sIpyKvnt5/+AbQj2MnWBTq4pspDyCKGzuroRQtSR2QNWofq2dCFc41cHhCiWZdx1ml6aMC0lB2rPStsx1XS+71GO8TY5jqWZ1pUlqd5pXAvwXAI1QeWnIEQIAggdYv9SMr41YeQDEMKDECBMgGOfK5pfrEzsmE4f+E/L1kuKlhs2TDlt2XrJsrWS47x9DwvHMDViOxZ28X4kch4zX5nBIufxbJh3H98SXYwlPlDrkWberjlc450BIcCxTduQs1rS0m3NHReaitNK4pc9r3crrER7/E2uDlO1ZM7N+ByLWEpBvypiu+829KpZBgBcVAZPr5oVTqK/gihEGYol26ajX5I+AEaYESkJYUhpZbPAiJQkBtgIzVMu4hDb1GxFyetpvWKWrkZ29eWfFL4HIUCYghREAFsG0XjXXCWPWrUrhuZctYotK50b0YYSO5m6yDxH1Up6/9h2Ylo6sR0b0tQ2xDKi+6b1v0cAAETXZeyRomxH83qIIMJuV6Ty0u6vEfXKLOEhxhT2uCJYFPxMY3wJ9rnriGZUsSSG5lo7frFoilMt56xMtJFtdWxiuzyU36fScVN3NIQhNlRHPbar+lLf3uqr1ZJ1VQMQxCG2lldT7hZvj5KsToSWxjYBApzcicx+iqN41sMG/N3BpXUbmperGXnKKOsFW7/4lqpgg9C68KbwCl+ca4p3Sgv2PDb97ZF9he2NCzwrYx2uBcWUNsVw+BXjbaoKdIW4WMvayM2EEKJXzSLC8OTl6F9hGtGuEB9HFKQoFvOGbJZLM8pFt8/8X6JhSXB969rIzYhGTGa4dDzS5V3iCvFxwceGAAAA04ipWxJYx3kYv141y8kTxf1gzk30V5KrdQ9e4+pRe26mAQBpiNB2xNHiKaH2s+EYlnYlVXXX+L8CIYZZTWlGeYqlXTFQa8d3HMsAALwKIYIAAPh2mQ79srgW4LkM3ik3Qe3H8Lw/bpatywCAf7/UsSFEiMKMxHP+NkXLD2NEcZIQW8KxngZCHNsw5VRFnj2im5WZcyxmCAAE6JPZE8ZUdsCuagVIYcaRtVJpZ98jbEOo17Wo9UZIXWvR+lXHNh0DIoiUop7lPIyfYjEPz+PSgTBEnjqxNb7Av0oMcBGloGeSJwoH8olK//lewHyNrrZor2+5O8o3mJqtlGeU8dKMkiinlEmjalXOdp9CCKEU4eu99WIrcYjt2MSqXxJcL+e1lF42i+WkMlmeVSbUknHBrB7NUXyo070w2OaZx0m0FyKI8onKQPJE4UAlrZ7XuUAK87H4osBad5RvNBSrkh4sHckMlo5Zun2GFgKiEGOqlpwbrZwAEKDmVeEtpmqft5yeYjAb7vQsDHd7FzMC5SpMVkdnjxf2VjPqGdkvmqP41vWRrTRPiVMHs68Vp+XEhT47RBB64kKzp05ssXRbxRjRsQX+ldWsOquXzWJ5VpkoJZVxvWJeMBjDirQU7vIs8rdI3ZyL9hAASHa43Jc6WTwo57Wfux8giMLd3iUtayI3YhZxpmrLx36S+LZS1M+ZjccMZqO93mX+Zqkb04juvql+bLavsLcyq0yezQ4TgLl7pHFFaPPGT8+7SYryDXrFLGWHy8cj3d4lFIt5wc+GpQhfTxxip/qLh4denvkJxeKfne3aXQqVolUAYO77EG1gWjtWC9d5Q1REqTil0T714NgJ9fCVjH86tczwV876f6alQ5p6xFHUomvjil+no6FOW1YLdr44aUzOHlaPDT5jZQtXvKhmmuuWCUt676IbYosgRTHGyOQeM5kZNManDxhTybc9e/xWxgfUY7u2FR5hOMQTBzi2TSxddeRi1krlU8Z0MWulr5ZN/VtxLMecfi3xOKJbmfzJ7P7oyrobaYGW0odmXuWDQszT4pvnafcvrIyXBlz17jY1qyTzJzP7zzYWwhC5Q2wMIYhLaX0a05Dd9OGm+2kO8RSDuGi7OF9w037HJnbvppBPLhjZ1qW+9eW0Pg0AOMMO92pgGY7h2I6llow8zWPXWTP0F4EnLjav+HDHZzCNWIQgqgV8f+cqT/dXAk+d0FzJaDOAECJntaReNouDL848ppaMHAAAEEIcxya2XjYKBABAseiSXJnebVyte/Aabw+1aqd3vCvoLwoKsyLHels4xh1nGXd9rjT8HM/6WlxCZAGCFFuWp/dXlNnDlvXmRAtCmAr5uu+ybVMuVBLbbdu4YCKAocWQV2pYI3CBDkKIXVXTfeXq1F7T0kpv3Vfg/K26WZlFkOYozEgOsQ2f1LSBY73NipYbzJVGnr+YY54LjChWEuPLRD7YjRDNy2r6eLk6vd+yL0nzj1i2VoIAIIrivKckTTCm+aC3Y2t9ZEXEcSyDwsxDZxuXY9xxj9SwRmB9rTax9ao8e7gszx58q3v1O413RIBH4PwtzXUb/pShxJBuVmZK1ak9mXz/E6b1Zms9BDEVDS58MOBtu8FxbKMizx5M5o7+r2lpBY5xN7iEyHyBC3SYtlrwS82bLFsvq3oxoRmlCUXLj1SV1LG3Bmeigfn3Bn1dt+eKw8+W5ekDpqXl50q4CMGYlWjMeR3imIZZTbGMFK8LL/s4z3gbKZr3j8/s/KdCOfEaAABAiDDP+lokITKfZT2Ntm1U/e6W63SzmtT04sTcHHKDsprpP1d2l6Z4r8gHu71S4zqO8TYyjCuq6aXJsjy9r1yd2a/qhQQhjk1hRowGFz3ocdUtpykhlCsNPzOTPvQd2zHftKDAiOY41tvkcdWv8rmbN3Osp0HV8iOylhssViZ2qlp+1LTU3FvPCUOLwfaGLZ9xCdGFAudtLVWn9zC0GDZNJQcAhC4hsgBAAHWjMp0tDj1DU/z/nKu0zSpWU1axmhQXtFyHBNYDbMcUuhrWivMaNwKMMLzWovWuByIIOTfj89YJLVJUaEAY0pEe7xIpzMcTu9MvugLc61rJzJdmlASEAHobXG0UizmIIDy9ggJTiPI1S50rPtx5e9cNdXfPZRYJmDqc3xmb71upV81iw9Lgs6n+4mFDsd74YWUESuy6of6edZ/svSGfqAx4YkKTK8LXTx7Ivtp1Y909QoCLAELAuk/27tn7ncEvmtrPHTCaV4dvCHd5F3niQhPvZUKsi3YTQhytbBYzg6UjoU73wkCLuyc2z/el2b7CgbN9fpqnhLpFgTXrf6vnJgghZl20W6+aJSnC10ME0IK7mj46/46mx4dfmX1SqxhvPCAhgtAdExqbV4VvuO1vVtzvbRDbIAAwM1w+FmxzzyM31zttG2IvzhzN7T49wIQpSLES4/M3u7odm1i8h/HbpnPWsnSGp4ToPN/yzb+/4O6WdZFbMIVo27D1xN7MS63ro7eseLCjf+z11HOFieqwbTomAACwLsq94K7mj7pjQlP7ptgdN/7J4pRS0NNHf5L4NsKIcoW5eKjNPT86z7es7+mJH0weyL7WuaXubneMbwy2unsZgZIYkZIggkjO6al0f/FwfKF/tTsmNAZa3X+XGy33n22urIt2NywLblz7ie6NmEI0pjFrW47JeRgfxWFh0T0tH++6sf5/x3alnjVks4oZzDYuD22CCCAIIJx3W+OD04eyOwEAu950f0IIXSEu1nlD3T0bPz1vQWy+f6W3TmjNj1cHKyl1avmDHb87ezy/t2FZ8LFkX/HA6fcHAABQHObbN8fulLNaMtzlWdy0MrylfmlwQ3FSHrF0W63mtCTjotzZ4fJxhCG1+N7WT/oaXZ2si/56bcF5RdS3st2b3uN70BOgwjQD2UrBzpbzVrZcsHJgTn/ibYeYlgERelofm9qLRSFALMuwK3KGaPpZA6eXA9vetIYK+pv1wcRrWv/Iy3a+NGlX5Rwx3z6tuPORnTEmEYJTFA1ZioY0wpAihDi2BSyIAKIZxDAswgAASNGQxhSkCQEOhAA5NrEU2alcrh4FcQjhvNx+qcHTGVlZdwMxbUMrqOnA/Mgaqd7djlmK14paJrlv+nlptpKgXYxHnq0kzjYWL9Hemz/V9he8m/I989WRPxc8tM9fxzW7gmzENh2zmNQnKRZxNIu51mVeUwpyMaViFi7WfvdymDqYe62SVqdonhLLs8qEY126UxrCCAfb3bwnJjSqJaMAACDeBlcbphFzrt/D/6tABGH3TfVq6mTxoCcutLSsjd6885sn/yo/XnmjpVUvm8U93x74e87DBIhDrOKU/CZNJ0QhTLNYMFSrCiFEnJv2USzmbNMx9KpZvtKA9puOhSCiOMzbpmM4NrEYkZIYgZaIQxxTsaq6bF7xwv9q3IPXuMYvCkmMLZXE2BJAHNsjNa71uOpWmpaa081qmqY4v8AHOiEESOD8k6peHDvlBoUgxUUDC+4HECKfu2ljS93GSqbQ/wRNiSGe8zZLQnTh+Myuf9GM0jSFWTHo67y9rf66DXPrP397WZ45EA703qPr5al4aPG2TGHgqdPXe5IYW1zvWvFJiuK8LC3FHGLrEECkGeXpgKftBq/UuE7kg98CEGK/u2Uzx3gaCHEcCDGNMSNU5NkjudLwc5r+ZskQBDEl8qGepvj6O4Pe9q0YMaKs5QYlIbrQ727d4vO0vFiuTO62T5MnoTAn0RTvx5gWeM7fHvJ13ykr6T6e9ZcJITbDuGMiH+4BYE7vCiNG9EqN63RDTnldDQtK1cld4DTjJJriPGF/790tdZtWuF3xZSwtxcvy7IFIYN69qlYYiwTmPZkrjTxrWdo7MhD5jgjwmJaShwAhhhZDECLsCJZG5i7aQ2/aEUIs8sFOXS9PEeDYAh/oEvlwr6ym++ojK3+TZ71NFGbdCFGcbRtViuI8pq0VPbXAzEBi2+8CAN5kJclz/naa4v2SGF3sdsVXYMQI2eLAUxizbgQxI3CBDowZ18jkS39OU7wfQYopVBLbg96OW0Q+1AsAeA0AAGhK8DfGVv8OS7siCNE8RrTLdowqQpg1LSUX8LbfHKMXf3gw8bPPAADG3/yxIORZf2tdeNl75oJKrMe0lBwBhOhGeao+vOzjILziE2PTr34BAPAiQhTL0lK0XJ05IPDBLhcfno8QLQAA3njAMrQYbIiu+kjQ23GrZWtFSYgtQYjiTEvNxYOLPxzx996jGaXJyeTer0EIXzv9JZ2ieB8AAOZKw8/R1Pz7vFLThmJlfIdhyikIMS2rmROKlh2kKSEU8nXdgea+qF8/M0oLgbSsfatrUesWq1hNqSOzB9m6QJdVVrNmvjrDxv0d1wI8724QRjg237e8dX10azWjzZSmlUT9ksC6UIdngV4xSy3rIje3rI3c7I4Lza3ro1ulMFfHSYwvsTv9/OmLH4ggbFkT2dK2MXq7XrVKhcnqsF41S+VZZSLQ6u7Vy3Rh9nhhb+v66C3+FqmbYvH3T71QNq0Kb2laFdpSnKgOS2G+nnXRnmRfYR/norylaSWR6i8ealwe2ty0MnTdwPNTPwKn/YB76sTmhuXBTaZqyRBBXKvQKLpCfLw4KQ+Xk8pkpBsv7b6p/v2MQPUbivWm6D7DU8K82xo+GO7yLpo+kn890OzqRjSifY2ujvE96Rcjvb5l7rjQvPSBtt92bMeCCD506nNHuryLe7bWP+BYxCzNyAkAASzPKuNSmK+L9vqWTR3M7ogv9K8KdbjncxLzzTeCQwii9GDpiJLTk4iCtGXYmnOWBQ3rot3z7mj8QKDV3WOqllxIVAeJQ2y1ZOTqFvpXZYZKxxmRcs+/o+kjY6+nnkMYverMaRBArWwUTz4z+bCS11OhDs+Crhvr3u9vlDoFPxuS81p68kB2O+dm/JzEeAEAINDs6or0+JYCMicE6o4KDaZmK4KPDWWHS8erWW02Nt+/on1j9HaKxWOW/ma9INZFuxfd3fwxd0xsSp4oHAi0Sj0QQ8r9/9l7zyC7rvNKdO99cr459L3dt3OjAxoZBEAQBJiDSFEkJUqyaiRZcg5j+c3Y88qeNzO2582UZ+bZ9TS2xho5KFhykkSTIilSBElBIEDkjAbQOd3um8O5J5+z9/txu6EmRVKiSNmqel5VqEKjcfI++3x7fetbX1rsnDm6+lzPvuS9SkrovOUTg/92zUz6WRxgn2IRF+lRNi2cLL1slO1VXmMjG/cLIYSRbmVo98cHfjM5HNpemdYnCCZEL1hLlVl9glOYkFmxi7E+dTS1KbR94oWlv6c56gsbzw8huGYPCqnydPMKr7ERp+nVK7PNCb1gLYkRLu403VrxRuNCbnfiDoQgPXhX5tHaQmsSAPCNH/PVuomh7dJehCAq572FUt5diCSYjp5Nwnil4C2B94DgoSQhxPbl9kLYDnr8WmPRWy5cfaPfA8H4pnz+3R7zzeDcmDtqnZ942i/X5v+pvSbeCr1jwo7xfcqdcoiOQACg0QzqroNtTkBiadmdt03ckjUqzHJIcGxsChJSEIKU7xPv6NO1r4F34e1i1+2yktWekTNqHx8VU3xETIYHY9tmn5v8Ut9DQ5+CNGKEqNjBaXykPl294ln+m2YTfRc79VV7KdEb2dQxpIxzEqVoST5TnDNuXH+18nyqTx5tFJwlmoVs4BMv1S+PciIlXYeVn5iiwWo4b9uC/kfBwKH0I7zKhrCPfbvhVqQon5KiXGLbB3t/YevjPfbKldrpwkT93Ls5xhuTEO8FeJUNhbvkfiUpdGKfeHOvFb7zxvnwvQZFI5YRKAn7xEM0pDmVCVMs4iAFEVlTxQY+9sEb4uN1dGyO7N71sf4DUpRPnv+H2c/H+tRRLSN2cwoTiuSUweqsfi3er329Mtv8gTInRqDFcKfUr6bFTkagpbnXii9adectn72aFjvHH+25P9anjlx/cfnrAACQGNS2sBKtRLqVIdfwmt23JJ5cOl859m5IpfdiDP4LfvoBKYphYtFewDICRBTjlUqT2LR+Ip5eP0lwjJwWuHBP01g+3WgtnUCQYhQptS2i9twZYM+Qg+RmwypNmHZ1kjKWZbCmvmw7JNj1RmvxNQgQSkZGPhjReg4RAvBy4dTnWUZKAkAIhBSViGy6L6L2HIIQUYZVvh5g18DYd1y3teoHTjMWHnyQpoUwQtTn1ixLAE3xIcdtrXq+VQsrudt0Y/V8VZ87QggJEKRYgYv09nfd/V8Bwb7tNpcdV1/xfKvK0GIEQog0ObtLFpObWUb8PdczqwC04zZV6tiaS9/6my2zcKnWnD+iSOltIh8d9H2r6vl2PRPf/klIAFlfv7KMFI+Hh+6mKU4VhehgSOm61XLqc5IQ2yTy0QEAAPADpwkAIQCsz1GEAICQH9h1THx7Y+MkCjFCMjr6sCZ37gEAgJZZvOKxVoWQwHfc5jLGvp2MjD5GU7wGIfyLn6Tp+Y+LnxKCx24ko6PPhdXu2wEAUOBCHoSIpin26Y1yKY6Rk35g1yFAjOXUZ3lO68LYtzHGHk1xiu02lxiaD4t8bAghmmcZOen5Vs12GvMAABIPb3oYQeqPNnrnYBI4llObtZz6rMCFexUxtYXn1CxN8Wqpdv0ZAEBbu0oC1/edJsuIMcuGU65vVmiKu9kalZDApylONe3aDMfKaZqLhCjECDyrZV3PKHieWRb52GBE6z0EIfrSRtUMx6qZXHrfbyJE87bbWAywa0piYtR26vMCH+4x7doMJoET0XrvAAAcxjhwIYSIZcS467WKIh/p2+AKDmiKlbrS+34xovXdXalPPssyUlKTO/chRLMCF+pxvVbBdKrTLCMnuzv2/9bscuBACE+uD1AIAOC5UA5BisE4cFzPKGLs2xyrZCBAtGG3W21KQnyT6xmldGz8Y43W0kmwRnZtRGA6zepzpz8HCCCUIkSMi3MvQRoxoUPj/wqytPB29bUMT/E0RwkQQYoQgj0rMN/4QadYiuVEWkEMYgM3sF3D19cCFQBAe6LgVSakJMVOAAgBEMJwp9TPioxSW2pNlW40Ljqt12eDWJGWGIGWIWwHx74TWIGH3fVAj5MZhWIRBwCAnunrnt0+J05iFIggIphgzw5MHOAAUW0pIKQgBQghDE+LFIf4wMG2Y3jNdxo8IhrRrEQrNEtx2Me+a/r6Tzo4fDuEsmLP5odzH68vGTMMRwk9exN3J0fCO8yKXbCbbpXX2Agr02ptXr+BEKCMsrMqaGyUZpGwMXhODGrjt3xy8LfMmlsuTxevOE23lt0e268khayju3UhxEXVDrE7cLE9uCm0vTKjTwAAXuVkRrn/P+34WHWudSPSLQ9xMqNW5vTr8QF1c7hT7rfqbsWzA3PNhBcIGhvdeP6O7jawjz1EI4aXGa06q1+zGm41MaiN5/Yk7rIbblUIsbFQVuo9//XZzwMAbnbzoWhED9zR8cD2J/p+xaw6RZqlhPJ087KaFruWL1Zfi/aqwwAAcPRzE/8xtyt+iFfY0FppGtHSYtfB39z824LGRidfXvnH5qq1yKtMWI7xaYIJhgiiaI+6qbagT3aMJ/Y2Vsx5COHfEUIIghDVl1rTq5drp7PbY/sDD3s4wD+wIB64o+OR7U/0/fLca8Xv1BaMKUQjJtotDylJIWvV3Uq0Rx22m15NTgqZ8Ue6P1mZ0a8CAFYJBgEr0fLQPdnH8xerr2Ef+4AAzCmMBiCAxeuNC62SvUKxiFuX91sNt0oIwRSNGEaklfJ086pnB0a8Xx3rP9jxsN10a4LGRvsOpB+88q2FrwAAbhry0izFjr0/9+Gxh3Ifb5Xb+60vtqaVpJhdvlA53rElstesOaXz/zD7+aG7M4/zChMCAIDAw97Wx3vLjWVzNvCw6xpek+Hp15UVCGE2OnhnxyNm1Sld+dbCX1MsxVpNt6omhSwr0opRtldZkZYb0835wMNubnfikFF2VhCCT24s2aI5SkgOaVsCn3isQEuBE9jp0fCunj3JuwEEcObV1ee6diUOsSKtrFyunUyOhLYP39f5YYann3ujIuidIjfIb5ZUSvvC7y//htEMGpu2S3tufSD0RLqL7QcAvKmq7J2ACmvZ0CN3/Ue/1lgCmATEcY3a157+DPghxrZsNjWq3LHnlyHPK9gwq/pLxz/nrZSu/6jHhRRFs13prXQ80mtdvP4M29XB8yP9d0MIoXL7bo/4gQM5RsJNo2icvvSuibJ3CiVMR+5+InrX6C3y7QhBynOxnZ9xbqRyQl9+zp3kBCSG4kwqFKWTZitoCAGlRZN0xrGI4bnY4UQkgXdp3qsvNaYTTzQtAAAgAElEQVT5sPD7Wm94LL4ltZ8E2Jczap/TdKr1ycp5s2Qs1acqF+yKtfpWrcZdOzCvvFT8x1iX0BftFHobBXuZkyjFd7DNS7RaWbJmaQ7x8W5pKDOsbKVoSNfy9jsmDhme4hODoS0AAqhlpJ5YnzpSmdWv6QVzySjZK3rRWl4nyHv2Ju/KbInsk2JCeubo6rPTR1aewe15D0oRPhkfUDdbDbcycLDjYbPmlBt5Y65VtldaJTtvVuwCIAAc+jfj++eOFZ73nMBqrpqLRsUusDKtdmyJ7pWiXHKN7L1J8NAcxalpMde7L3lvpEfZZDe9Wv5S5bXVq/UzVs0pBd7359DBOzrenxoN7zrwq6Nw5P7OS/lL1RORnDJI85QIEUS1hdZkM2/OUyziUiOhHYmh0FaI2t2wGJ4SjbKzOn+y+FJlRp9YI80BAACoKTG7+eHc47E+dURNi11W3Smnx0K7evYlX2UEWmosGzOlycal99ILhmIQM3Cw4yE5LqRzu5RDdsurT76cf3LLo92fAgDCWz4xOHPir278dyHERTY/nPuEGOES2Mfuub+b+V/rpcXde5N3CyE21rc/db8QYmMUg1hb9+qcxChqSuhMjYR2du2KHzry2cu/AzYoKDmF0UYf7PpQvF/dHO6S+13Tb6VHw7sGDnYcIZhgx/T1/IXK8XX1KAAAZMaje0OdUl/nztjtWkbscZpeDWOCfTswQ1mph5NprXtP8u4Tf3n9D2mW+uobmwtQLGK1tNiVHovcEskpg7zKhFtle2X1au10/mL1tfV4763G4DsdL4hG1I4P9/2aEGIjnhNYnukbM0cLzwEIYLRbGYr1q2OLZ8rfXTpX/v59kRk10q0Mde9J3BXtVYYd3WsUbzQuLJ2tfE8vmEtvTCT9C358UKqSkHZu/2jQapW4zuwO4+z5vwUAfPuf+7zeKRCiOQgAMMzSVYYWIonIyAckITGyuHriTxCiuWRk5FGWkWKEYJdnlQzHKkXH1VcxDlya4tSo2ne36xtFiuIUx20uVxpT3/YDp+F5ZhmTwFWl9A6BC+Ucr7XquM0lkY8NleuFSwzFh0QhOthoLZ0kxHciWt+dmpzdDQB4FQAAaIpVEEIMQwshx9VXCMCBJMSHGYoP62bhIoS1OZ7VshTFSI6r5wEhOKx2HwCAAEKwZzn1OQAgjIUGH4QQfZUQHCBIc4nI6OMsI6dourFEIUYs1a495QeuHgsNPEBTrGxYpWuiEBuu6wvHaIrjU7HxD0S13rsoilMoxAiOq69UG9PfCSld+5tG/rTj6auuZxRlIT4C1ta67eYEBPCsmm2LJODNbtSa0rmHocWo5xtl065Ny2JiVK+tnGUYMSbykf66Pn8EQsSElO4DTSN/GgDwz9J06e3wU0HwAABAo7X0Wrt8CXuuZ5ZkITHGMnIKrC2oEKKYdGzLHbbTWOS5UI7ntC5CsG/YbZbR8fQVlpESNX3+e0uF05/3fLMU0fruziS2fwpj3/YDuykJsSGGEWMAgML6cQkO3JDcudeya7OA4ABAiAjBfrUx80pDXzweUrpuxdh3MPZtTDyTEIIZRopTiJURom+2evYDp+F6RhFBxFbqUy8Ydvma79u1RGT40VR084frrcXjfmA3ZDG5maY4DQBQA6DtddObvf1TIaVrf8sqXLLs6jRCNO94xtqLyaotq3hZ4uObGFqIAAAAITgIsGuwjJwkBAcIMTxcqx+GEFHJ6OiDECJqPv/qf5PF5LjIR/s936q0zMLFAHsWz2k5y67N+r7T4Bg5lY5t/bhhlW+snxMAACBIszTNa35gNwQmEgspuf3F6tVvEoI9WUyMUhQrt6ziVYwDm6GFcFjp2k8h5tQby8S8cnPRXa5ejzy0+9f9SnMZiZwKCCDW5Mppob9jJ3gTKxaIIFRTYlf/7elbksPh7UKIjVp1t2xWnZKaFv++uWIurpddbLo7c2j4vs4npBiXKk02L88cXX1WTYsn9IK1RDAhjNAu7eg7kH4foiDdXDUXm3lzLj6ojUME0erV2hkpyv+xUbGLAAAQyko9uz8x+HE1JXZRDGKaq+aio3v1/KXaSYpBrwIA4O6PD/5qejSyixCCL35z7s8BAM8BAMCWx3t+XkkKWd8OzMtPzX8RAHBDivGpxJC2RQxzcYanpPiANsarTNisueUrz8x/hRXpy2pa7GIlRg3cwGZFWrF1r16bb02+MXDhVTbcdyB1YOjOzKOxfnWsvmhMz75a+HasVz1WnW9Nbgwk/ynAq2xo58/0f9SquWUxwiWMilNole2VLolWK1POlcqMPtF/MP3w1Cv5pwKfeASTQEmKnYQQgv3vK04YnhL2fGrTY4hCtBTlEvF+bUyMcom5E8WXSpONi2pS7By8K/OY2/IaetHOL50rHw1lpV6apU6Fu+QuMczFrbpbWblSO0VzlBDtUTZNvpR/cvVq/Yxrei01LXZ17YwfzG6L3bquUlhHc9Va0FetpeWL1eNL58pHXcNvAUJwZmt03+2/PvZfpo9UnjFrTmnwjo5HYr3qCNhA8HAqEx5/tOfTjRVzfuls5ejMq6vPRXLKIESQaq6YC8vnK6+6pt9ixXa5kt10a4C0iaHh+7IHlISQBRCCSLcyJEW5ZGGifjZ/qXaClWhl5L7Oj5h1pxx42D37t9N/Es7KfaxIywAAHdGQYThKlON8GgAAIYIUotHriFIxzMXu/ffbH7Z1r6FlpF5GpBWaRdzV55a+pq+ai5074rcnh0PbAQBk+sjKM2KYiylJoRMAsIoxCXwH21qHmBNUJhLrU0d5jY20SlY+f6l6YuVy9aSgsZHAxc76e1NfNKaiPfbwwqnSyytXqqfWPYF6b03et+dnh/7d5Mv5J92W1xy8M/NoOKcMgA0EjxznO7Z8oPtTlVn92vKF6rH5k8XD8QFtHIAGqC8Zs8vnK8c82zd4hQ1jH3uO4X2/DpwQkhmP7AWEACUldoIN3k6IQtTm9+ceIRiQ+pIxo2Wl3vqiMR3JyYNL5yqv8ioT1jJSN6QgPX+y9BIJSEAxiB19sPNnChO1swCAuZuHAYBYDa9Cc5SgF6xlLSN1V+f060e/cvWPKA4JffvT9ytxvqM635rkFCZUXzRmksOhbfF+dQwAcOrdvGdGM6gJMlKGd0j7B7aIxbFb5P2RBJ2mWfSeGNRjx22ZZy5/A1tO0y9VZriB7lsJefvyHIggFHeMDfNjg/f6lfo8FVLSTCLaBwD40QkelubZnuxOSpWT9sT0YToZ7afjkR5ACEY8K2PTaSBFjGPb0cF7oIR6p+jo4QbT3dzA1EXzlGNjMzcojEEEEMMhPpKgO2pFL48QQBQDmVia7aJoSFtGoLM8FDp6hMHAf3t/vB8Vds0qQwS/W7laOkmxFL/eTtm3fTOwfeuHZQ4JJoTlqeuFGWPCs7A5c6Z+NNYl9jMcEvp2hQ/kr7cupfqlgxSDGKPmlj0H28vX9PONovO2vmEbgSiIBu/IPJgeC++uL5uzvbcm79ML5lKsVxntuy31oJLgM1efW/wqAODPAAAgnJMHA4+4BBM/PqiNzxxdfQ4AgLW0mBt7OPdxzwoMXmXCsT51tHCtfi7SrQxFuuXBwA2c5//g3C/pBWv5zn+7BSspodOsOEVWpBUpxidbBWt5/lTpZTHCxTf6vAkaG+6/PX1nz97kPcmR0I7AxU592ZhV02JXdmts//zJ0ksUg16+WaaqsCGn5TcAIWT7E32/kh6L7KovtWaclt9Mb47c0rMvea/b8pqMSEsEE2xWnZJesJYYgRIFlY2EOqW+5KaBbef+buZzEMJT68+IU5hQfEAdkxNChpVolRVpJdwlD/gudmiG4gZuTz905E+u/HsAwPI7HihvASHExaK9yjAhAPMhNqKmhS5BY6NSlEtVZ/WJUEbqAQAAVqBkrUPM6UVrOdqrjihJIQsAyAMAACczIbflNWzda8T6tbHijcYFVqIVOc5n6svGbGVWv5YYCm3d+qHeX+Q1dsJul8wBmqP4+IC6OZSRehiRljmF0bSM1E0AAGbFLqSGw9u9drn12fXzZSVaAZhgfdVainQrQ6tXa6eBSxw1LeYc3W2UbjQuxfrV0S2P9Xx6daJ+BmzwiWIEWuy7LX1vvF8dRTRiKAZxsN0Rzr/lE0O/tXi69F0pwv+ZUbVLbzUG3+l4gQhS8QFtbPlC5TiAAPYdSD/YtSt+kOYoYeLbS3+jJIQMrzDh9XMMZaTuPZ8c+nQ4Jw2EO+V+RqTl4o3Gxa1bont6b03dV5ion1XT4pebK+ZPrMvt/18AKUTR0ajA9fXc5i3nL5DAd6hwuBNCCH8aFRdvBz9wdNOuzqhyx46I2nOHJCZGV8sX/3qlfP5LAADg+Wa5u2P/bwtcpA8AAC2nPgsA+AohOBjpfX8jCJxmyypNYOw7QeC2gsA1CcBBqXbtKQgRnY6Nf0TgI/0AAGBRQqTanHmx0pj+DgQAJSIjH0hGRh/3AqsGIWLioaGHKMScDrDnrBEqIoSIIQB7dX3x1Wpj+kVZSGzOJHd8umWVr5pOZapdvuU7nmdVKiuvvkhTfCiT2P6zLC3G6vricUmMD/OsmgUAzIt8pJ9hhEjLLFxSxNR4qX79mZZZvIwgxRISODyndpp2ZUrgQjkAIVLlzC4KMeLC6onPhpSu/QIX6sqXzn9ZN1fO1ZpzR8JK9wEvsGoiH+njWDWzfk8hhGiNDMoHgaNj4reT9Yyc6O+666MsIycBIRghRijXJp+t6/NHIUR0R3zrx5PRsSdcr1WgKEaMhQYeQIi6uq5q+mnBTw3B4/lmpWnkT0tCfJimWIVl5IQoxAYghDOEECJykf6o1n+f51tVQgLXdptLhlWa8H27CQAAAhf6ko/dlu9btbaBEkSV+uTz8fDQw47XKtRbbbKGocU42EDw+Nhtub5ZloTECMau4br6SssqXnY9o4BJ4Lq+WTbt8g1CMOY5jWMYIWralUk/cBrBBnURIRgLfPhPfd+q+YGrtxeSEFbqU89HtP57XLe12tCXXgupXbfRFK+CNTKFocWYLKbGl4qn/6xUnfhHSYxvSkXHfyZfOv9XdX3+VULai3aBC11maDEGQHtQMrQQhZBiPd9coQNOXVcEcaySSkU3f8Rx9eVkdPSDnmeUgsAzr80982sNfeEYJtjrSGz7ZFTruxsHvuV4zbwkJIYlITYEAHht/XrapFmrgLHvcKyatZzazPzKsf/u+VYjpHTt7cse+k+eb1VkITFG05ymytndCNECWC8TwwQDQAjiGJFAAJvHJr5BMPa5THQIsQzPdsVHCQEEvIlhtZYWczs/NvAb7WsFcN1vJT6gbm6VYyuIgn8rxfnkLT879NuxXmVEivGp5oo5TzAJtjzW83O53Yk7T/zV9T8EAMwiCtGeHVjVWf16pFsZ9AxfF6N8cvVq/bSgsbHUpvD2wTs7HkUU/N80Tws7Ptz3hBjm4pUZ/SojUFKkR9kkaGykY3N0T3mqcck1fUOO8+lmwVy06m6ZbMj4MAIlelZgaBmxhxFoCQAAGA4JAwc73i+E2GisVx1ZuVI9VZ5uXokPaOPbn+j75fqSMeM7gS2GubjvBJYU41OeFRj5i9XXaI56cl2xxPC0sPNj/b/YvSdxFyczqu9gy6zahaF7Mh/s3pe85+QXb/wP8C4Xku8EEEG46d7svTRHiVPfXXkq2q0MMwIldu1O3LFwuvzdc383/adm1SladaesJMXOxnJzLrcncef1F5e/3rUzfjtuEz4EAAC0jNQjRflk/lL1BIQAJTeFtl56av6L+QvV4wQQ0irZK9kd0duSw6FtGNeCwAtsVmRUmqfEwG8HWBQNmUhOHpTjQsfimdKRq88tfnVDRnaeYtBr0Z78plbRft2iZXWidrYwUT+7vh8IASAYkNp8a9KoOKvhLrm/kTfmVi7XTkV6lE0AgKfXt5WjfJKiIXP6yzN/VGj7zNyy5bHunzv2v6/9Qf5C5fjGLKygsZcABBBjgsUwF0mNRnYuna+8iihIxfu1zfMniocnX84/iTEJIIKoONm42H8g9b7Ctfo5JS50CGE2JoTYKABARxSkOZlRlZTQCQAgvosthqdep1zp3pu8p7liLjTyxhzNUYKWFnMn/vLGH+olaxkCCBfPlo9074nfCZGIrDbxRCI5eQAAcIoEJLAbbpXhKMFuerXLTy98MTGkbXUMr0kCEgACiKN7jfN/P/O/9IK1CAAAi2fL31s4XfouDoi/dh8hwSSozrcmzZpTjPYomyZfyT9VnmlejfYqw2CD2k9JClnPDqyzfzvzJ7UFfbJrV+LQ6INdHzvy2cu/U7zRuLjxHRPD3CUctI1tIYJwx0f6JavhVpsFa8FuejVvQ+YzMaiND9/X+UQjb8xlt0VubSybs127YgcvPzX/xfmTpZcIJoRX2dDBfz32X4fvzX6IYELqS8Z0EMWpzLborYhGi+u+DBAAaOleHZleixEoSdCY6PzJ4sszrxaexwEO4gPa9bv/3dbPNpaN2XBOHlBTYqcQYmNr1/qu3ssLx1qHdx5SHtxzr/YBhkEsLyG5nHcX565ZP7YBLkQIAQoxEEIIBd50F1cu0JFQJ3E9M6g1l9czXBBCCNp/EEAQQQgRQIiiNEWlVDkBWUb0VooTiKEFgt9ZW23iepZ9deowEoUwth3duTbzXb9Ubft+rOXXkMCr2Hb/WYwMJZUKWwbW+zeLO08ebjz13FdKf2rquCGpVCjTxw2P7pYPNMp+cfvt6v1Hv1X72tw16yJC7QygErajjhm8o/NuK0AgWFfiwHZZIGp/8SHBXuBiN3DI2t2BAEBIQQoxFIQAQEIIxv4PKvkAAMC1A0uJcX/umoHhmL4xeihx4tYPZ38pf12/2DEkb8kMK1tL8+bkjdeqh5M90qZm2Vk1au6PrD4KZaW+gUMdj1gNt9J/MP1w6UbjQigj9UZyzKBr+rrvYjvSpQwiGlHYx4Fr+DorMWp92ZgTNDYCIIA0R3FbHut5SE4IGTHERm3dazTyxlznjtjtju7VAxe7YoRPCiobAQAsz58svhzJKYNW3S0zAiUlhkJbi21/Nl0Ic7Hl85VjALRJhu1P9H4iuy22f+bo6nOIgnSoS+4PZ+XeVtleJZgEYw91/SvfCSywNi+xEq1SDGIFjY1iTIJQVuqjOUrkVSa8lkjgBY2NyDE+vXyhctx3sJUY0rYoSSFj1tyyVXfLTtOr9e5P3d/Im3NgrazRs3zDswOzMq1ftZpu1aw6xcSQtrV3X/IevWivhLJST3o0sgu8hwQPAISUZ/SrI/d3fgT7xOcUNsSItDx9ZPVbNw4vfwNRkAH/GQAcED/wsGs13Kpn+i1GoMX1PXAKo0Z7lCHX8JtynE/HepRh38OOUbZX7YZXlaJcavVK7VQ4Jw+khsM7AAAvAgAA9rDrtPxGc8Vc0Et23m64VSnGp7v3JO7SV61FOcF3dO6IHaBZ6srNhBYEMDUW2eUavo597IW75AHP9FuBh93i9eYFNSV2VmaaE2pazPXuT90P1ggeCCEceaDzka2P9/5CZbZ5zSg7q4xAia7hNzvGI3uWL1SOSzE+pabFHACg9GZj8McZL9jHPivRas+tqfsay8YsJ9IKxiRYuVw7VZnVr2W3Rfe3yvYqAADIMT656Z7sQ4iBbCNvzjktvyknhA5EQao81bhsN7xaKCv1bn2s5+fFMPfHZu2tGwa812BSyeGg0Vhi4vFBbBgVtiu7g81mtgZ6q2iev/SNoNFox04UxUAIEQGAQAAgAQQDP/A2EiZcd9dufnDgDsRxSlCrLRjnL/5D0DIqAADA9/XuZ7MdW4JGY8Wv1ufdpeVza4bKAEIIkSiEuL6e29hMxzgJAt+ZnT/uLiydJq5r3qwyQAjS0WifsGngbjoSzgVNfdUrV6b9am0uqNeXAsOsQYqixa3jj/L9fQeJ67Ygy4qUqqTpkL4qjA4/oOy9JWVevPxNrq9nPyUKYfPyxDPYthogwD5AEIG2ES8BOPApTetgMx1bAUI0m+nYgg2jEjSaeXe1cNUvlacI/sknVwPsGbKUGm8b/ObPcKyWNczSxDqpwLHKka7knl8HAMBGa/E4y0gJmmIlP3ANQgKXAIIdV8/LQmKEAIKLtWtPrttqRNSeg+sVNIRgH0JITS1+5/8MAtdq71s93JXe+xngQtr1Wiscp3XynNYFAJikECMSQgJCSGA7zeWV0vkv+4HTQoiaAwCQjsS2TwCCgyBwDQpxctWcOdwyi1chhJCmeK2/847f87Hb4hilg2O1LABgXpWzu0Ny176aPndkpXzxqwQQEtF67xT5SJ/nW1WRjw5mkjt+zrSqkzTFyhIfHazrC69SFCv7gdNotpZPN438aYx9l0L0vCeaFUlIjHKs0kHIxjgFQgIAoSleYxgxhnFbbR1Sc7epUsdOcNN73neqzZmX19fjsph4uTN1y69iErhB4DQlITbE0lICvKfz9rvHTw3BEwSeFVF7Xgorudtq+sKrLKOkw2r3wWp9+kUEEUnFtuzExLd1c+Wc6xlFjlHSdX3+6Pr2llNfYGheCym5/ev1dhBCWuDC3Y6r51tm4SIggDBtf5mbwNgzIQCwVJv4pmlXZyJaz0GJjw9Xm7MvW3ZlSjdXzhPSDpooxPAYBw6CFCdwoR7TKk1s3Jdl1+ZYRoxG1O6DAh/pIwR7NMVpIh/pM6zSVd1cOU9BmqPp79f5sYwY8zyj1DTyZ6Lhwfs5Rk43jfzphr5wbH0wrV3fIgBgsX1diAYAIkICj2dDufZk2x60YSV3ACFGsJzaHAEER9SeQyulC1+pNWdfWZ8cBT58uDN5y6+4Xmu1aebPinxsMKTk9kOITq0fE5PAbRmrF5LR0Q8CAAiFGJFCjAQAaOjmyvlGa+k1x9XzEEAEIcUwjBhD6PvlVn7TLLurtRlpNHcg/al7/wjbrgEwDiDHCCDA7clgeuVMoFs/8AHbdG/2Q0qSz84eL77gW77RLNrLnum3KAZxrEQriEZsbnf8jsp086pn+UasVx3xXWzzKhsuXK2fZURK2nR39nGKRn/ECDTg1gxfAQIIUpBavlA5lt0W3Y894rXKVr5jPLLn8lMLX2R4Sgx1Sn0Lp0uvyDEhXZpsXLr+neV/ECNcond/6v71zxeiEN0q2ys0h4SN7alJQAJGQQIr0OJ6yQwj0rLddGtW3SnzKhOuLxuzckLINJaNWbvp1WL96lhpsnGxvmRMR7qVIUQjxtatupYVe+P92igA4AyiENWzL3nQbrrVxbPlI7E+dRRCiOS4kKnM6tcIJsHwvdkPsSI9sdF8+CcJhqckOcZ3zJ8oHvYs33RaXl1O8OlWwVw689Wp/7eRN+YBAIAV6We3PNbz84hBjO9gu29/6gEtI3UXr9UvALBGFN2dGeu9NXnf3Inii0bFLpg1pxTJyYOxPnUUAEDUlNClpMROOc539Ef5dG2hdcNquBWap4TGsjFbnmpekaJcslW2V9qGuB0Plaaal4QQd8ZuujWCCVnLzF5643UELnYZnuJTI+GdkZw8yAi0WJ3Tr/MqG1HTYs5quFVAILCbXk1J8JmN24oRLqkXreX6sjE7/kj3J2meEuZeK764cql66o0S+zUTUABAWyXWvTdxT3mqeam22Jq2m25VCLHRze/v/iTG2Nc6pB4hxEZ5lQ333pq6P5SV+5yW11grOZhDDGLUDjFn616jsWzMahmxh+apm8E4K9Diwc9s3tcxHrll4UzpCPaxZzXdatfu+CGKQSynMBqvshFOYcNqh9StdUi5Rt6YQxSkAQAAB9jHAfGthlOZO1E87NuBGcnJQ4kBbfzY56/9fvlNTJJ9J3BYkZbSY6HdoazUS7GIq8zoE1pG7All5b7GirWAEKLthlsVw1xi47ZSlE9W51s3bN2tjT/S/bOMSMtT3115unijceGNJYxmzSmv/x0iSNE84u2WV2d4ShJCbNSz262iGYEW93566LE1cgg2V63FaI8yvHyxenzpbOV76/u1m269//aOb9312+N/vHq1flaK8kkpxie7dsYPTn135Wmw3oIdAlhb0KfCnXKfnBA6rLpblqJ8kmqraKz6kjE9f7J4GFJt9RavsRG76daktsrqXWHminUuFKOTm/fIh4ymV+dN1Jo4a766NOVM/PCt3xz82MA9wvjQA3Qk3AUpRBOMfcixkjOzcIJS5CRxnJYwOlAQto6ISOLDVEhNU6qcpDQlRYW1LGRpAYlCyJ1dOgkwxmwus7117NyX38k5kLbicHLDP80CAGYhQ3OIZQVAUxykKZb4wT+LYS6EEKY62V7bwua5V5rPFZfdm955FA1PzE/YFw48Ev7Y4b+v/EVx2Z07/lz966hNgVEQQei7+EfO5mk94eHswZ5RAAhhROb5wAms9L6u+6SU3E0xiAUAgsDxrcAJbLfl1BGFaEqgJVblwohCNKIRa5aMZQDAF9/qGHrZuemddON45cVW1S11jau7eZlWp07UXuZVWpM0Jjpztna0PG9OvtV+3gzRXnWYU2itvmzMzB4rPM+rTPj812c+b1SdoqCy4dwtibvamVBIAwACEpAg2q0M2U23CsDNhbUQ71dHGY4SFs6Uj4hhLlZb0KeuPLP414GHncSAOt53IP0gQG218szR1WfFCBcPdUp9+qq16Fm+0Vg1F2aPFV5ANKLXvLpArE8dSW+O3IIxwfEBbbyxai5cfHLuL3iNjQzf3/kRVqTlpbPlI2pK6KI5iluby2RWoKR1tWmrZOcvPz3/pWivMjL6YNfHVi7XTpg1p2yU7YLvYQcH2J89Vnge+8QbujvzeLRXGb76rYWvJIZCWxOD2haI4IsEE2JWneLVZxe/aladolGxCwSTYOWycvKWTwz9VmWmObF8vnw01q+OAgCefCf3/+1glJ3CwqnSy+Gs1AcpSHmWbzby5tzqldrpwtp3GAAACCZYCHGxUAa7YoRLbFRD+pZv1peMGZXh3sUAACAASURBVF5lwlKUS65O1M5c/Mbcn2sZqXvLo90/Z+tenWIRJ4TYWKytnnkZ+zhwLd+4cXj5m4GL7WbBXA5c7EgxPilF+aTT8hrzp4ovqWmpmxEoEQBwU7FcnW/doBnEWjUmRAghRz575XcQhZjxR7s/RXOI92xkUizFpYZD2xmBFj3LN5WUkB28M/Po7LHCCytXqicjOWUo8AK3cL1x7sZLy08yPC10bo8d8GzfBKAdr71xDP4444Vg4jz4+zsNAABxDa/ZWDHnzYpdbJWsPK8wWnmqebmRN2dplmJHHuh8ADGIpTmKr87q1wgGeO544QUhzMXTI+Gd1Tn9OiEEZ7ZE92W3xw4gGj31T2X+LG4eeR9kGIHv7dkPAIDYcfSg0VxmEvEhNpvZbpw8/VckCHyur/c2ShBCBAc+4jkF207TunbjO5CmXyO+7wIAANfVuYvNdmylNS3jLucvoGs3XgBr5apcrnMX25nZjm27CTAJqsv5CwAADBGiuO7cLmF48B6uO7cXSVLUK5Wn6Egkx/V077WuTDwHIbwIIARsNrNduX3/rxHLqkOOk0mAPTGVHKHjsT6/XJ6mFOV3AIQNWlXTlCiE6Wikl9Layg3atptIFCOE4ABNTr3EdXXuZBLxISaVHMG23XRm5o4hWYox8fgAtu2mcfrcV5Xb9v0yEoQwHQl3I46TKFVJeZXKDDatWv3p534XADDzVvf1vULbQ9WsYBK4NBRCABBi2JWb8zTGgWPY5WueZ1YC7JmSkBhlGCkGADD8wNX9wG6kY+MfZRghUqhc+Yd1cgchiu6IbxtomcUrjqevaHLnHttpLmLy/e+u71s1wyxdJQAACBDNs1oXxyoZsPb9bq9FI30E4GB9O4wDj6a478Qjw48wtBA17eqUIia3uJ5RbG9DSEjpLAbYsxhKiNAUp3KsnIQQwlz61shK+cJXWEaKUxQr6Ub+nOebZcdpLElCfFMQeOb300+IWSdoLLs6rcnZWzwSlNdaoIMA+048POQyNB9eKV/865jWfy/5vgcPDgJH9wKr6nlWFWPfQYjmujv2DzdaSycw9i1VzuyynfrCxvW465mlllm6EmCnBQBEIh8dYBgxCv6F4HlrNM2V87bbWExGRx4zrPKEJmV3M4wQxRi7ipTaatm1WYx9i0KsZLuNRT9wb3qncIyc6O647TdEPjpAAMG15uwripgabxrLpy2nNq2IyXGKYmWaYpWNxwwCz/IDt6XJ2VtCSue+iNZ/z2r54ldNu3zjTeRWEAAAWUaKQwBhgL3XmQoLfLi7N3vwMyyjpAjBfl2f/54sJjfXmrMve55RlMXUOEWxMoVYeX0bCrESxoGjSh07aYpTFTG5eWH1xP/E5IeaTBKGEsIQIsrzzSogBEMI4UjP++8wrdI1muI1WUyMSUJ8pGWuXtjIrvu+XW+ZhUssIydlITmGsWdrcnbPGkHT9osgOFDl7G6aEkKu1yquMcAEAAAw9m3dWD2XSe74+Ya+eNx2GwsBdg0I0M36Rex4Ft+d/F15c/chyDEitlw9aFm1wLBrQcuuBS2rFjTNStCyf8DkTghxsXN/N/M5XmVDEEFq4WTxlfXfIRrRiUFtc7xfG7Mbbk0IcdEzX5v+7PyJ4kvJ4dC2PT879Nu1hdaUEObi4S55oFWy854dmHrBWspsje6bfbXw7ctPzX+pPNm43Hdb+gE+xEa1jNQjxfm0a3g6K9JKdmvsVl5lwjPfW3m2PKNPkClyheGp13wX2xSDWIxJwIq04juBtTFj6rvYri+ZM4zA3Hy+jECLNEfxgRs4jbw5d+mb838hRrnkvp/f9LvVWf1abaE1STDApanG5YlvL/7tpnuyH8xsje6bebXwfHZ79DYAwBkpxqc6d8QOWHWnIseFjhuH89+8cXj5m4LGRm79xeH/4Bh+A0KAksPh7QCAIz9k3LwnYARa5FU2rGWkbqvhVsyaUx7s6Rhenaifaa6aN/0bXNM3Bu/IzKSGwzvK040rlVn92uAdmUfWS0AQgpSaFnPl6eaVwMVOtFcdPvc3039amdOvpUfDu1iJUarz+o3kcHi7bwdmclNom5wQsr4bOBQFmcDDXsfmyF/e8W/G/4detJbKU80rma3Rfff/hx1fyF+svrZ4pnQkORT6XnmmObGxzn8dNEfx4490f3Lwrsxj1Tn9OiczqpoSOqM9yvDs8cIL5anmlVCn1MuKtIxoxLzxHhAMcPeexF2Bj72encn7zn5t+k9wQN52YadlpN7mijlvVOxCtEfZNPXKylMzR1e/nRoJ7xBCbLSZN+dDWanPswKjc3vsgJYReyoz+lWaa6t0EIVo7GMfIoDWlGuYXVOMAQAAKzMaK9NqZUa/JmhclATEP/b5a39A0YhJDGrjtEBJFAVp3w3s1KbQdjnOd9gNt8qtedsQDHDgBg4VYqM7f6b/XzuG10yPhHcunCq9XFtsTb/ZNTECLe78aP+v5W6J31lbNKZoFvHhTrk/3CX33zi8/M3qfOtGfFDbzMm05r3BX6DtswVQ1474QewTL7sttv/YyYnf/1H9qcQwFyc5ZcB3AnstqwrEMBdLjYR3lCYblwIPu+EuuV/NSN2Xnpr/ou++njBYvVo7Y9XdCvax57TcRuFa/XxyOLSt3cUN3OyCpSbFbG53/I5WxVnFbU8uvDYlAs/yrd5bU6du/YXh/2v5YuW42/KazRUwDwggFI3o4C2UFT8KbDMwAABfj6bY11JdbF+z5pdWZp1J/1206BZ3jD2KeE4FgJBAN0qAEAI93+VymZ1MR2KTMDZwN1LkODbMKtbNCrasOsAEe4XyDToZG/RXS9cBhBAbZtWdWTrBD/YewOYPtlB9J4AMzQqjA/cod+4bpCQhAhCiSBB4fqE8CQB4R+TRewGagawaoWOeS5xkF9eLKLiIbxrSEj8UY+ZTXWwfhADWK34BAABwe8y+4+fSeWfvhyJDsR2B61u1a5WzdtVc7Xt46NNW0Vj2DK/BKGwI0YiheVp2m26VFmjJbbkNTuUinunpBJOAj4op8DYEz0b0bAvdSrOIv/JS6akT1eUvMBwlenZgumukyDuFa/g6oilWS4u5aI8yvHK5enLhdPm7699HikHHWYlR11UaNE8JnuUbtu7WAQFrdgwkcE2/pXVI3YkBbTOvMpGrzy58rTzdvLp2mItCiHvONdqd6XBA8Nj7ch6iEUMIIQxPiYAAstGnj+Yobuyh3E674VUBACA+oG2+8XL+SSUldrIiLXMirUgRLmk33ZrT8pusSCsAAIdrn6vN0ogxa2751Jcn/5/qvD5F89R5LS3lBg6lH26V7dVm3pxzWl5z+UL12MzR1WdxQHB6NFze/8sjvxfrV8dc09PDXXL//KnSSwCAwDV9A0J4ItQp9eZ2x+/AGAR2w61xCh2K9atjN17KfyM+qI3/OM/grUAIIYhGTQIAURNCRi+Yi41lY5aVaHXj/4NUW3npmn7LrDnFwMU3CRffxXZlpjnRdyD9Pk5hwq2SnS/PNK8Wrtcv7PyZ/hzBJIgPhMZ9O7DUlNC59q1qBS52AQBn5biQym6J7kUs4lpFO0+xiIv3KaPl6eYVIcRGKfb1zTZqc/p1JSV0SrFIqr5kzJSnm1eclqf33ZZWEkPaFopBrNYhdbMSrUoRLgEAmIt2K0PF6/UL00dXn410yQPRXmX4+Beu/d96wbq56KIY9CohbQXcm43BH3e8eHZgEEzw3Ini4dSm0PZonzoy8/W5b9eXWjMAgBcAACA9Ftk5dE/2gzRL8YEXOBBCdOZvpv9nZaZ5DSII9dvTDx36zc3/rTKtX6VYxA7dlXl08XTpFbDBOuEnCcTzml+uTGPTqtHRcLd5+erTAGOfYBwgjpXVgwc+AyjEuAtLZ/x6fREyjNh+awNX3rHtI6C94j5CCCGI5xUQYF8/fuILtKZlsG3f/I6SIPACvVXc8HM7GZpKDquHbvsNv1Zb8Kq1Odr3HTqsZQODEbBhVuVd2z9af/7wLCAE80MDdwa12gKSxChkWZnLde72G41lbJo1JIoROqRmXcMoAwgpKAiafe3GdwDD8Ew00rt+jVAQNOL7DnFd013OX8CWVRe3bP6AMLzpXmd+4ZRXLF2nRDECIERIEEKIZSUQBA62LA+yrOTOLZzgerr3CsOb7gUAfO4n/XwoxEieZxTbdQ0AQohoBKmbMSkhgWdYpeuEYJem+TDPqtl102BMfMe0K1MAEEI5nOwH9gZ/PYgQpDmKYqTAdlu+b1UJeCOpSIjl1GYx9m2eC+Vcr7WKIM1BiFB/553EcmozmASuLCRGN26Fie/oRv4sQoygSukdhBDcNjpuI8C+HWDPaBcSE5+mOBVCRCNE8zwXynGMnAwCz+RCAynb1fMQIsqwy9eqzdmX2i3KSeD5VsUPnKbj6issIycdt7FE00IYQoTWK1sw9m3H0ZcJCVya5kPgpkYYEAAgZBkpQQD22+olREGI6LZXkZ73A0d/veoHAABw0OYIfJtj1YznmWUE39pP9p8LP1UEj+/bzURk5B9FPtof+I4usFouqvXfs27yaznVKUXq2M6zWtfU4ou/u/7w1oiV/8PzrVqjtXyKEOwpYnoby4gxQrDHsUqGocUoxyhpz7dfZxxJAPZNuzrZMgtX1gyQadttLq2rdjYiCFzD9VorzVb+LEVx8nqJFoQQSkJsU0/Hgd+w3fq86xqFAHumJnfuoxAjAAAAy8ophhajDC3F/OD7gTBaU78AC1/1263nCCFvn/lrt203irbbXGJpMQra8uyAQqzIc6Gc4+krmAQuQhTr+UYxwN7rgjZCAs+0K5OEYB8T32EpMc4ySopp72sJAAAC7Fstq3gFABLwXKibY5UMTfEaAGCFEEJUKT0LIaJFITZEU5xKU6xM07wG1mq2AQDAnitcAm+imvhhgAggOSFkevYm7zn2+Yk/2Pg7REEqNRzagQMSKCkhGziBU7xWP08IIWKEW7TqblWKcklIITrap462yvZK4GGXlWm1VbLyEAIEEUSlyebFwTszHzArdiFwsSNFuIReMJdmjq4+270neTcAANz2a6P/uXitca5rZ/wViqUu+g62AQHAtwPbs3zD0b06JzM3gyTP9A3XCgyr4VTA2tKU5igBe9jlVTacv1A53lgxFiga5a8+u/jV/tvT76vM6teEMBurLxnTVsOtRnLK4f6DHQ+nRsM7GJ6SOImRO7ZERmiOEniNjTAcElav1E77TmBTDCo1V8z5WL825uhePbMlsgci+L0fdWH8boBoyLQd0nwz3q+OaVmpl5MZzaw6pTcev7bYmt78/twnly9WjiMK0RSDuPUyGwABJBgE119c/np8QNvcuS26nxVoeeFU8WWz5pQCn3isSMue6bdmjxVemD22+gKiEe20/KZj+E0AAChcq587/ufX/0v/7emHCMZ4+XzlWKtsrwoaG+ndn7q//2DHw81Vc6H/9vSTi6fLR9ZbrLISI+/8aP8vJYdD26+/sPT3sX51tDTZuJQYCm0lAAA1KXTSLOIhgkjrELsXTpdf2XhdNEfxnEyrgADiWX5rfZHyw+4dxSBu9ljhBYpBTN+B9Pu0jNSjZaSeVsnK+w62EYNYAgDJX6qeWD5fPoYoRPsedlrFdqCKKEgLIS7m23Uz1CX3t2XzQgeiIMIBwRSD2FbRzpenm1eG7+v8cHosvAtRkCler5+3W16DYIBZjdFaRWv58mTzMgDt4L5+k7whhGCAF0+XjuCAeB2bI3t8B1tG1Sm8GUkmaGx476eGPqOmxdzEt5f+JrkptK08o19Nj4Z3kYAE4S65n+YpgRFoSY7zHVOvrDz1uvvIUwIvMxoOsOdaBAMCwI9yH7GP/e1P9DULV2tn9KKdj/Ypo+sKNlakFSUhZGqLxpRr+johBPt2YBkVZ/WN+3FaXqO5ai01V61FACAUI1xc0Nio1pby3yS0ipONi0bVKUZ75E3iSHiHmhI76f+PufeOtuyqzwR3OPvkc3N4OcfKUpWqpFKWkEBIgIUx2GAwwTjgbpbtcTfuWYOne7rXrHH3TLd7ObS73Z6xjRm3LcIABoFAgLJUqipVrnpVr14O991878nn7DB/3PtKrwphQEi2fmu9f95d94R99j17729/QcEq6ILitSV7LvKpkyjqgwABBIQQRk7tRQQR8DoW/TdWrRStgzdoh4iWqpehrqZwwizQrdoVqClJZbj/5mht6wxUFTM4P/9t0leYFX5gxxvl82Swdz/UlES8tnWOFHNT0frWeaTIhohin/QX90Zrm2dYrbH0eq8HIoT0w/veq+2dfghAAEUYe/Fm+QIkkgbxP83EyW7Smmez9srl4Ox978t8vDAgjwyMqy94DmsTGSm3P5x6RAAgzCRO7/R7eT3F/NiBGOLOcon6QgDhrLXnw2ZQ4zELtZzeFzT9StgMan7V28juyh+WNMl0Nu3F1Fh6j6TLlldx1n7c8+WGtAlFlwxGedSuhCW3+ePLsV6rNs7WX1w7WX3aKmqDkoaN3Y8MfzgzbE1N3tv395UrrbOYoLLffFVugjDEgR03MyPWdG3BvihAZzPg8pMbXyaaZCAMiZFXex/4Vwf+8JZfnPza6snqM/aWvxo6cW0no4FRHksyUmjIvPqSM7dtwL5dRMX6wIHs0fSwObV6vPrUyb+9+scs4lF2zJoVXDC/GdWKs6mh3Y8MfXjzXOPY3HfWvwAAAIggGYsOo0VSsNZccxcB6Iz9yT7jz1MDxhiAHXP53ERi9+UnN760Df45lWAj9pkjuOCKRVLpQXMCQoAAAAwTREaPFu+bebD/59SknGmte0tWjzYgOGDLL5W/AwAARJF0hBF+Iz31OOX00Acngsij9vJL5SeTvfoIEOC6cRpCCEM3thWTJPS0kmc7gHCIIDZyak8cMK+56lzBMlIRhhgAEK+eqD595GPT/7J0vvFyRyoMAZag3H3OqDiTvvnor8x8TEvKmcCOW5KMlESvNnTluxv/H/WpJ+uSuc0e3S7FIimiSUZtybkEAYBdwMhePVF5auq+vp+pLdmXuuBQTjaIBQAAaoJkkIRIz0zypsJ06kDH4Nu/7n25c/x6rT4ov87+ErSiBmeCzjw48HOpfmOsOt8+1y55yzvOhe749V3vUS2SYjEPk736cGPZudJcceYB6CxvM8PWhaAV14UQvLbQvpibTO7tysn+UQAeiBDGqeSAAEIISkOSz40DABBSFZM5bo217RJSFDOuVuelZLIPp5L92LJ6mOOUab2xoowM3xqXti4AACqCsZj7fkNKpQaQrmW4/+qaR8Sxxz2vLqLYx5ZVAAAASIiSuOv2B6GimEhVE7TZ3nBfPvF5SIhq3Xn0U1DCcrxVvkR6CrtotXZV7u/dz1r2Jg/CNmvbJfvS5W/zMHJwwupVx0fvEFxQwbnAlvk51rY35cH+m4Vtb4FcdiLeKl+M1jZO8SjyuOc3IMayMjVxL63VFgEAIFxeeTmcX3haymZG40rliqBxEK2unWS2U6bV2ryIIt+45eCHpFRyMJhfeIYU89NQwkTQN9d/BSOiWUbfQT+oz1MWOX5Qv6qp6XGwc40FIdSVzIQkaRnRmch1JeYQpczBWyHCsufXLnP+6u9AdNKt1jhnUcyCZtvdPGkZPTfLxLwmOUKI6Jx3UqYo8xsSVpIdJYkQXDCqa7lphVi9smz2oE7gT7R9QRJWE4aWm8FYtrygsbDNrOmcm0Vx7FY4p6EkKUkiaVkIEA6j9no+PfWI69cuqXJisOmsPFtrXf2O4CzmgkVCsIhxGgjBIiGEGCgeoilr6GgQNlcsvfcA5ZENAbw2JgsgWMzDNgQQcU7Da+0CoaTKVr8fNpc4pz5CksI5DcOova7JyaGY+jXbLZ3SlNQIIXom7qZ8IUS0TnuoyZh6VUW2eruSvrdUvaUAHgAAaDtrxxiPg4h6tZj6tb78TR9lPPaj2C0zHgecs9gNqpeCqLUCAAAYy/pY/92/Yhl9B2vNK99ECCuMcRpTv75ReeX/yaUmH5KJ2RNF9qauZic6aOGrJQSnnMe+TIx8GNmbteaVxxmP3B9iwCWIpGUSZt8hAADcpqJJWE0O997+P6lKajiM2msccAohloOwtVxtzn29N7f/F4EQIqZeXZWTw5zTnUbEcDvVyvOrl2TZ6ukijP9gIYQVUy3upSxohpG92U2IQpzHvh82FigL2sADIpMYux8hol7/bQiCsLWCkWwmrYFb/aC5SFlkE6ymQBfgEYLFQrCYSHpecBZ36NXStV2WmAXNIGytUBa0hGCxIif6Jfyjr/tH3heG6J7f2gshgqi55i6wWFxnNCwpWEsPW1OSgjSiSbpXC8uMdl5WPOZR6WLjeN+ezJFkvzaop+UskhCJfeYG7ajuVoOSYpAEwhDTkAVuPSynB80JM6/2KRZJsohHikG+xGIe5aeS+xCC2MirvYc+NPGb7ZK3cubLS39eW7QvBa2opiblDJIQ0VLKtVQmTJCc7dEHUwPmuGxIJgCdiWLoxG21o+W/FkeaGjCPDR8u3KtaJAURxNsTDxqx0KsHZSCEoAFztbSc306CEJ3XNbtGMRaA15ecOS2t5LOj1kzoxG3Skeq86QkMggO2vevmt6O6ezrcwgTJ4DV+N12ZFGcxDzFBJNlvjHL66gCjWCQ58/aB9yd6tCEW8yg9aIzXrqoXaMQDFnecJzbO1o/RgHleI6w61WDDb0ZVFnUG1K7R4ePOlr+++5GhD2970wghxPrp+vOhG7f3vGv4I2N39Dx0+ouLf6aY5D+GTmwPHcrfs/9nR3/lwjdWPm/1aIONZecyi3ncWHGuXH1q8+9n3jHwAT2tFBqr7nxuPLGb3rC7LYAAoUPb1avtC+2Sv5IesqYUkyS3k7J+WNthgsjMgwPv0zNKQTGkBMJQSvbpI5FLbUyYwmIRbV1qvhJ7zPFbnX7r1oJSdzcUcMaZ1wjLG2cbL7lVv4QJUpL9+mhHygECIIRID5uTQ4fz9+ZGrVm/GVULM6kDzXV3QQAAOBWRVw/L1QX7QuxT16uHZaccrIfdnXEhgGAxiyCCMFnUR1sb3pJTDTYj9/q0OQA6v9ddDw09vOvhoV88/YXF/5YZMafLl1unJQVrWxebJ5de3Pr2TR8Y/xREELXW3cXsqDUb+/SGd7AQgR03y5dbZ7xaJ5ZduWGh9kP7oRAiM5qYxTJWqc+8beAQEyRHLrXdarDFQuZ3zJWtKaJh47UO0i55y149LE/c0/uuyKX21lzrlJqQX5XzCiCIivXsmDWrJeUMjXiIFaTuXJg4ZX/da4RVrxaWEIZk8FDu7tCjNu4YYP9USVpvdAnOGYxpIPcVdrsvnvobpKtJdXz4VlZrrEQSlkUc+94r579KirkJZrtVWG+tkZ7cFM6mhmmlflWEkUNdr6btmXo7VGTDfuLZP2CO97oXIsjUs8rowC1ACBGvlc7EW7V5Vm+uAi44D8Kfihn0emtlLji3cN4/qejIMBI4eeTB5KNHHky+12mxuttmTTOFM+XVaMFMStmVueAn3sjYWa3F5gW/7m/FTtSKnaglGKf1i5XjakYrxm7crpwuPYuVzuKZepFdPbP1HLHkFDHkpF/zS9iJWq3FxoUffaZOOfW4bKTkWT1BUqQDUv5USYyxT/1Ej/5Xo7cVHzQLaj/ggGeGzal7fnPv77OIhUsvlr/duyfzt+VLzVOMchoHzEcYYr8eViInboPOSoFjgo7JGjZSg+Y4i3iQGTGnZx8a/IWbf2H8n1Wvts/Pf2/zK3pG+ZpX70ijkQQlScFa397MrVjGihLL190HwkhyKsHm2qnac7veOfjByKP2xpnaS7UF+6KaICnORFy92r4AIASNVffqNuMIQgCrV9sXIIZYsaTkTrDFrQXlynzr7PDhwn1AAKAYJBHY0bWNw8ijbuRR18gqBQAg1LNKASKIEEZ4+Ej+nj3vGvpI9ap9QXNoWwjB64v2nGKR5PCRwv2CC86oiN+MwAS3EZYViySxjFSIIeb8egag4IJ3AEYWevWwwqi4thBjEQudSrCZGjQnIEaSkVWLqDveePWwHDpxa+Dm3J2ccYowJNvpobnx5J6DHxz/dGvdW4g96kAMceSCtlMJNvoPZG/nMQ9lQ7JYzK9jVdplf12xSAoCABWLJBWTJAEA5cij7tFPziz17k4fxgTJoUvbkop0AADAClYRhlJgx03ORHzjOHNjvVYffL39JQ6YV73aPp/o0QcRRsRrhtWdQKSsS1aiVx9aPlb5rpogaYSTxKkFpZ3MzqAdNbfmmqckGSlEk0zFIMnMiDUNADj1ep/5j1sQYyn9rocQABDScvUKrVTnW09+//9EsmKkHnrbZ5FhZOKt8hxSVAsACP2Lc0/EW+WL6tT4veaRwx/zL1x6XJuauF9KJvsBABUgBMeWWaT1+pJgcrRT7icoiyHCBCgQAdxJ/8UJq0fKZkaj9c0zEEHMPa8mpVMDSFUTEGMiD/QdQIpiCUpDWq7MCcpCks9OCM5ptLp+Mlxbf0XENIQQng+vLj4jeKddme1UtNnpGjbNPLNtDjCWaKO5GpW2Lm3fN/O8erSy+nKwsPQ8yaZHoKJY0frG6WB+4SnBWMzD0IUY/QXStFRH2iU4rdeXtenJB+Jq7aqIYh+bZg4AsPmmPR8I4UDxsNa0V56vNi7/vaqkRsK4vZGyhm4jkvpdyiInnRg5lEtNPkRp0Ixit9zxxnkVdJIkLb1VP/+YQqy+nRsSQnCuq9mzPD3zM5zT0IurV1LWwNHh3tv/RSY5+mXGadCXv+k2iLDcdjdOEqJnJaxnO2s/ISYG74ecsyiIWuuqnBjEHdaQ9+qlI9n1q3OamhkDN8yLOWcxY5GjKqkhWTLyGCkWgADWmvPfQkhSw8jZlLCStIye/W1n4wRHNNTVzASCkiJJWtp2N05CCE/oavap3vyBXyKSmmY89oAQoruOrklYNnpy+yaIpOd8RPQo6GWX8gAAIABJREFUdkrbjJwOWwfLlIXthJa7BSNiCMGZZfS8lLKG76AstFlQu5I0+28Z6b39d9KJkceF4LQ3t+8uAQRvOasvycQsKHJigLF/Gq/Af6jecgBPTP1aHHuVTGL0njC2N00tO1VvLXy30pj7mkyMgqn37C/Vzv4NYx1WioRkM2H23wIhxIZW2F1rzX/LMnoOLG889x/C2CknzYEjhpafRUhSJawkyQ0gRAecsPpkYhaj2C0zFntAvPbgirFiSUhJBLy9jiAmXVNhQCQtY+rFvUAIrqmZ8aa98oKh5aYW15/+PxiP3TwLW6qcHAIQYSKpqW3aHAAAUBa04tirCs4iUy/uC6P2uiwZhZ30shsLQUxkycgLwWJKgzZCkgIhxJSF7TB2thJG38G2u3FSCCEwlq1ceuphjMkKY7EPIYSqnMwaWm5G7VDLKpzHvq5mJljXYEoAAXQ1O6Ep6VHKwrYAnDEe+wi+KlFhLLQpC9tB2FqVsJaOO7Hxide63p+kOBP8yEenN+2Sv+pWg5KWknOg483Q+bwbh5waSI21Ntyl3ERit5FTixBB28xrZmrAGJeNTvxxxx0UgESPPpTs00eEAAIggCCESHDAG8vOFSOrFEMbNWVNsgAAIPKpO/fkxpcq8+1z6UFzYtsbpjCdOrD3PSMfe+ZPzv9eu+StGnm1r7FiX0kNGOPbEgy77K8FdtyIA+bpGbWAEERjd/QgiKGECCRKd6cJgE4CSmBHzWSvPmKXgzVOO7IeTkVMQ+7LBklAAKCsS6bfiupWQetvb/mr+Ql1d3rQnEAYliQFq8l+Y9TIKAWvHpYB78j0ftpn8ONU7FHH3vLXtZSc9VtRzan4G0AAkRlNzEgylnfKYBBGUnvTWy5fap7q25+9rb3pLW8vxAUXrL5kX+7fnz26eb7xcmjHLatHH1g/W3/p0hNrf/vj6s+7rKHTRJMuJ/v00eyoNbPnXcMfsWV/Lfape/k761/MjJgze941/JHaon0RAPB343f1PMy5YCO3Fh9YOV75PpIQUZNy9vhfX/mDyKPOyG3FB8y81pceNCaQBElqwBjbeU6/EVWdsr8eOnHTKqr9tYX2BS0lZ2HHaPWHphDVl+y5OGD+1oXmSYAgUgzJqi3YF0/8j/k/ogELftj3toszQYmKddmQLD2dzCu6ZOoZpYAJUgAAQWDHDbcSbAomaNCKG2412DTzau+V72185bV8bX6gLQUQnAuaHjanFJOkGsvOHA15wOgPSs+QhMjYnT3vpAHzx+/qfeTqM5tf11JyTjDBtnc/IyduyyZJpIfMCSwjOdlvjOw8hlcPy3bZX6c+86webbA81zxl5rW+H9UOSELS4Y9MJvS0nKtcbp3mTFBJQSoAHVaOAEDoGSXfWncXhegsXvr3Z28jmvSd2KfX5LV6WsmzmMf5ycReIDqSrZ5d6YPdBUynIIAzbx/4QGvdWwzaURNhSDBB8naiEQAdoPHe39633lp3FyGGOA6Yp6XkLCLwOmnfW6KE4PJI/0GcSQ0k7j/6G8x2qyhp9iBdS4kgdABCRBkdvAVIWNb6i7sFZTEytDSRsIxMI4dz6VHu+nVk6ln7yRf+2D8//52f5nIgQhjKRBdh6Lgvn31M+KG9vSgQlP1U4MPrLadFG2O79cfe+ZHcP9MtnKpuRMsXj7vPFgflsdX54AKRkUJkqPaNAlzfin/sxKnXqo3nVx6/8X+SKn1Vyxm9NKA+C6lPvbjNXyMKHWGEUQek+Ylq5s7sOxZPYqt/1rr5gV8bc7yuLEWzpCRRsU4jHj77+ZU/9G3a/lHHAgCAdslbUy3yhcywNY1lJAMIYGvTWy7PNU9NPzjw/oGbcnc88yfn/1eE4ZO73jkEjJzaSwPmcS7Y9rSfxTxGGD5pLTlzkUcdhKFk9eiDC8+Wvm7m1f4jH5/+TGE6uV+xyO+FdtzCXT+TVi0o+c2olhmxZiCCaKcxe3bUmhm7o/hQHDI/O2btghhIXj0sCwH4wnOlb3qNsBq240boxK1tTz1JxVpqwBjDEpIxQTJRsRZ3AX5ORexUgg2IAJK0jrSNRvzae5uGzOdMUC2l5J1qsIkwlLqhC/DA+8Z+FQghFIsk68vO5dCOmutn6i/ufffwL4UObRlZpacT3fvGl9+IqvIsOThxd++73Fq4tdM/EIDOe7/DSIYAIogEe5VFCTHCmCC5O+6viVf9lEDsM9cu+avV+fY5s6ANJPv0YdgFvvc9OvJxI6cWvUZYsUv+StCOGqWLzZP9+7O3IQwlSZN0SZOMGzeGiCrpNGS+Wwu3AABCUtC1EIHGijuPJESCdtwYOpS7hyideXjHDpdHccC82pI9R1TpuuCB16rX6oOvp79ACGDfnsyR1JA5sfh86VuYXC/nFgCIyKOObEhWc9W5mhroyr67rNtu+/Pqlda55IA5qqfl3Pqp2nOSjJQbr/nNKChhGYCO8If0FHc5L7z037nnNyGErfbTz/9J8r67fxtpWiquVK5I6dSQe/zkXwvGGFKVp41DBz+kTo3fiwwjS3qKswCAU4LSUHDOWMsuIUWxkCwbAIAmAAAIRkNm2yXuBy15sP9mADryMJLPTfIgaNN6Y5m17RLJZScE50wwHktpc5C7Xh0pismD0PbPX/yGecvNH2Jtu6QMDx1O3n/v76hjI99FpjHPfb+5LfsCoDt+IIiZ69W559Vh51q6H3IGBGcAIYnkc5Pq+Ogd9jPP/5e4Vl+61jYIIbm/b5+2Z9e7sGXkWcveJH09e6P1jdMijByhKhYk5JoH4pv2jDrsk0BTM+OGmp2UJDUjE7NnuPf23wEAiKQ1dDulQatcP/9FymLH0ov7tm1MuOAxY5GbT02/CyGi15qXv7Hz2EHYXGo6K88W0rOPtt3145RFdiYxcpempIYdr3IhjJorGCX6c6mph7igQUydsutXOyAZxIQgYkTULUfUrXZ9breZ0oKyqM146BgwvwtBJEGI8Kt+NoITomcRlNSO8oQGAEAYUbcSxW45ip0tCStJImmZntzen2c8DoAQPIydDSJpmXRi5G7bLZ3yg8Zis730dDG75/2uX53T1exEX/6mj2WSYycS5oAAAICuwfRuXc1Ng64HD4SYEEnPYCybnMc+wp2+4fqVi463da6Y3fU+2y2dojxycqmphzQ1M+F6lfMRdSu6mpnIpafeyTkNvKB2JYhab7nUu7ccwCMEp7ZXOp1Jjt0vSWqKcxpCiImhFXYhiIjnVy+1nbWXrn2hs5wVEGKJMr+eMPoOun7lYhC1NxDCsiSpKQgREYK3w9jeNLT8LITomW3wRAge61puqtleec7xts4kzf4jALz2IlnCsoWQpMaxV+2cp9qNhIVQCMFQJ9WqnjQHDjfaS09FsVuRJDUhYTUNIZIYp0EnsSu/C3RR+SBqr+tax6Cp3lr8vutXLiSM/kOakhoBO4y7FGIWuGBRTP0mhIgQSc/6UWtFJmYBQSx3fjRC5NPTXxnpu/MzQnDKAfWDqLXcl7/poxJWEvnMzIl8egalEyN3E0nPBlFrlXMaCAAEIXo2iju6WMF5RFnQDiNnEyGsRLGzJROz2KHkdYpzFgHBmYTVREydsqnnZ7smUz91SSrWR47k79+61DqVHbFmrIK2HrTjhplXe4kuuZvnGsfzU8l9WEYK0bBx6EMTv3n1mdLXE0VtUDFJsjLfPteJIg8rNGJh6MQtGjC/I2vCcmfhIASnPFYtkkISIrIpWbIuGeN39tzT2vCWG8vO5famtzxwU/b2yKHt9VO15/KTib2KQazmurswdmfPQ1ZRH0j06sPF2dRNCKOTw0cKbmbYmpYIlBO9+jBAEHIumBCAubVwaycjoOM7AlFgx00asmB7gsOZYKETt7Nj1iyWEIEY4vJc81RgR00tIWdpyIKbPjD263pGyWOCZKtHG2ysuPMCCBF71I4D+o/CFIh86rY23MXMSCdlbPhw4b6+vekjK8er378RPjDzai/EEBdmUjcFraiumCS5vfPFmeD5yeSZzfP1lyuXW2f0jFpwa8HmnncNfThy4qaeVo7tNNZVDGIlB4xRrxaUt5Mpdk6SYp/6AIALCMFLSELS/kdHfrmx4lzx6mHFrQVlACHs3589CgD4OywhOWhFNUZ5xJlgo0eL73juv1783/xW1MAESQAIIClY831aDVpxPTVojCsmsUKnw2Sxt7zV9LA5OXZHzzv9VlTbuth8ZfS2wgNdVtd1UiBJxkrXvJjVl525zXP1Y1sXm68YObUo65I1clvhgfaWt2oVte+71WBz+34kBSvJfmOUxzze9r/hTFAsY1VNyGk1QTI05pGeUfLbHkGhE9t73j18TNYlKw6Yq5okiaS0dPAXxv/5qS8s/inRpPPbAAdEEOppJZ/o0QarV+0LcUD9DttKRD270oeWXth6orZkz+Unk3sh+EEZCgQAIgkSv9OOMcJQ6t+fve17f3D2M6ET25KMZdG5D41FLAxaUT0zYk7LmmRE3R1We8tf2/ue4Y+ykAdeI6xsXWqdGjmSv19NyOmgHV3HCpEUrPCYx5wLjjuAXAYAAPxmWNUzSkG15BQAAHj1sFI63zhemE4eiD3qcCri9qa3Mv22/vdVr7bP6xnlm5FLbT2jFHa9c+iDZk7tdavBZn3JmVMTJIUJkv1mp99xLhiLebR1sXkSEyQjDKWuqXuqC+Zdq6AV1ZP9xui2F4WWUnJd4O0tVd7LZx6jW9XLAEIsYhrgVKIv3tg6T/qKu3DSLIqYhoKxWETUZ22no/unLIJEUmi5Ns+a7c1oef1kuLD6EmvZpZ+Wns79oM1st6JMDB9NvP3O34YYEyGEgBDAcHHtZQDAX7wxd/6T1dIl//RX/7zyf739Q7lPWSmc7RlWJkrL4XwqSwqMCea2WfPZv2/+TbMab/3oo/1kZfYlxvb+6qF/F7tR215pzS1+4/JfgteQ6HXZHj82a1MiiNz1S8OTra1wncU8DD3mqpaUBC0AAoe2073qYLKoDMCOy8NPBE4GdtxGGJ6sLdtzqX5j7NaPT38mtGnrzBeX/qxvX+bWyXv73rNxtv6imiApwQTz6mEFS4jsfLPwDrCwLCn4saUXtr69/72jvywbkrV+uv58fcm5NHgod8/AgexRAMDjPBaxYpGUYpJUolcfJqqkqxZJgq6shYYs2JprnvJaYS3u+vtUr9rnV46Vv8uoiAXjTHDAAOxYN28zaWOfeTTkPsIwBxHESue94gPQkZATFRt+M6pDDDENaLDTi4/FPH7bv9zv0oB5siFZikmSsi6ZQAjRjR6HW5earxhZpbh8rPzd1rq7dPSTs3Fu3NwtKVhFEiSKSRJhh1XyhlXkxjYQQiw+v/Wt/ERyz42fYwkS2STJ1oa3rJgkiXcA3ETF+uCh/N2xT12iYSPykLMNbtOIBYEdNRWDJJJ9+pBikRSSoIQwwj/7h0cnFYMkAQACy1htbXrL1avt84XJ5N7UgDkOIACJojbQHTMrAAAgqKADN2VvD9pRg2jYgAhgtAMwcarBZs/u1CHFJAnFIsltVqZbC8t6WiloCTlDfeoBVdJlg5iRG7/mzvpr9cHX21+EAELPKcXNs/WXOgDj9UyFyKVOa91byoyY0wBA0FhxrvTMpm/u25u9lWjSKQAAyE8kJvSMkpdkpHr1sKKllULsszedjQ0AABBjWVAaAM4Z0pTENgNGCCEgQueY41QA5xRpWgoITgVjDAAARBi5gsYBgBCxdruEE1YPAAAwx6lASVJwwuzBiUQvVFQLdAEeIAAgPcVd3HVrUJENiLFEeoqANpor2DTycn/fAcAF40HQhhKW443Ns+H81acE5yza2DwrGKNY179DCvkpUixMR5ul87TeWNH37X0USliJVtdOYNP4+nZqF8SIIEWxSC4zCiHESFWvbUQLLoR5+JBN641lRCQNykSnzdZ1Uld5oO+AeduRX2at1rqIaYB0LU3rjSVsmUVlbOSoCEOHB+EPsJvfyOrIkG6JDC03G1G3CiHErl+9WKqe+Xw2NfFgwhw4Um1c+hoAEBlaYReR9Gylcekr24bGCEIpom7F0PKzECCEsXwdk5kLxiRJ/VuMiGEZfTfHzG8EUXtNcBZiJKlJa/A2CDGx3c1TQdRacbzy+Sh2r83LJUlN+mFzESPFIJJ2bR0IO3s3CgCyiKlXBQCA7rmvvdti6jcgxKSDK3fk2EJwGkbttZQ1dDvjNHD9ygWMZEvCaiKK7M0gbCxD+Cp7mgtGMSJPE0nPKkpyMIztTcYjV5aMvB/WFxmPPc5pSCQ9qyqJftglK0hYtjAiuiwZ+TCyN3CXtME5i2Vi/gWESDK03HQcuxUEkAQEjzGWzZSWmRRCcNvdPBnG7XXbLZ3aTvR+K9VbD+ABnNnu5ivbHjEIEQ0johtadlrCSmJ+9buf5fxVdJZzGvpBY9EH9YWNyqm/6snu/XlDy83kUhMPqnJqWFcy437QuCpJSqLZXn4aIUnDWDYQxD4XjHLOY8pC2w/rVw09v1uStNROIGNnYSybjMc+hEjyw+YSwh1/HcYjJ4zaa37YWCzXzn+pv3jLr5h6YU8uNfWOvtxNkzIx8l5Qn1dks7feWniSSFoGY6IKzikXrDHaf9fllDV4KwAAdulqw4aWmx0oHHw5ZkETI6IP992xzw/rVwEAf9r5MUCIOn5B65qSGoGgc81Ne/mZtjt6r6X3HLC90ik/qC9ISLbyqamHLb33JtvdOOF45fMKMYuKbPUBrCa5oGHTXnn+mmk0BJBzGgZRc9nQCrvTidF7O2Ze163vBIRIghBiCatJCCB+IyRaAACwdrL6zJ2/sfvfZkatGa8elo98fPozfj2s+O2oEbu0ffl7G19JD5sT6UFzorHizKeHzIn97x395Oa5+jEWsoAG1LM96pSvtM5CBBGSoBS0o7qalLNdb49tMIU65WCjY6BHElpKzt72yZn/pXK5dbqx6l5NFLXB0IlbSqJrPssEC9pxE8tBifrMkw0p0VpzF6bu739vYaZjyurVw4qWlDOKKSUhAFAwwRK92rBXD8uKRa4BPEIA0d5wl7NjiV2SjJRrTAAuOOpMELi95a8hBHF11bl66Vtrf9d/IHe0vemvJPuN0T3vHv7o5tn6SzzmUeTFtmCCrZ+pv8DZTxZV/HpLcCEUkzzTszt9CwAqcGtB6cLjq/9v//7sbb2704ckGR8XAABZl8zd7xy8hUU8JCrWtaSc8Zth9ZoHDwCgvekt1ZfsOUZFvH669sLgzbk7e/dgdfahwQ/OPDjw/rs/vWcdIoj9VlSbelt/uTidPFC60DgBAPjr9KA5dsendn38wPtGlxee3XrcrQVbLOaxAEDoaTl/9dnSN1ZOVJ/mHRCkUHDiA9v+LuW55qnibOrm0sXmScEFM3JqD8IQE03Ss6PWeM/u9KHQiZv2lr8GMcSqQZI9u9KHMEHPciaompDrCEPJyKrFypXWWSOrFPW0kj/6yZnP9u3N/GVtwb4ghBCpfmP09l+b/YW576x/EQBwMrDj1vqp2vNaSsmWzjeOpwaMMU5FPHVf/6OjtxYfcOth+Z7f3Msin7qz7xhctXq0QYwhgQj+a8GFCNpxffNs49jGmdpL+cnk3vSQOamnlJyalDMIowZnnK28XPn+xF29D9slf60ROleSA8ZYcTp14MDPjf264ILd/ek9WxBBfPMHxtfjgLqjR4tvf/aPL/weAOAy4ILzmEdeIyzTgPu9uzO3IAmS11rscS5oZa51Ov02873LL1e+h2WsaCk5hxDEsi4Z+ankrsJkcm9t0b4U2FETQAiJgrXcRGI3JugkZ4JZBa2sJuSMpGDNb4ZVPSVnE7360O2/OvvZwnTqL5qrzlUIIcyMmNO3/+rse899bflzAIBLSIKEqJJRudw6k+zvsKsUs/NbDd3YHrw594XePenDSIIkaMdNNSFnIILo9l+d/b3J+/oeDZpRTdIkw8wqPaWLzRNOJdiIXGpHPnUSvfpwfdGeA6Cz4GQRD4UAglERZ0bMaaJJhhACgBsYcxACqKfkXGPdXTDyWq8kIxUT/JYDeGijvQG6fmlIVQz9wK53c9er46TZAwAA9c9/9dPcdqs/RKr8hpfgnHHXb3Qm0GqaO14NAAA4YxFOmEWIENqO0v3HrC7QeiFdIP9uYELdpZs4EQXcBwCIOOLh1kq0UNmI3pSdO+rHzsbzK1+PnagZO1EL4teel/ykNXJT6mi6Tx1ulcMNLUEymCDFrkVbxXFjljPBWCxCr0Ub2QFt9Mf1FuqZTd3UuydzePNc/RiW8SXqM89vRlUzr/WN393ziOCAu7VgC2EkIYyIYpKUWwtKZl7tRRKUIACQaJI+/bb+n6UhC1ZPVp8WXNRDJ27SiAXjd/U8nBzoSHudSrDRNUAHbi0o1ZfsufJc61RhKrk/PUymEj36ENGkMPapF/nUWXph64nMiDUT+8xFCOGRWwsPGBmlELpxG0KIYp+5VkHtt7f8NQDAlwHogDhKgqT8VlRPMUG1JMmArgRjOyLarYUliADugBPXN1McMF+xSFJPKzlMkIwkKMc+d0I7akYec7S0kreK2oAkY7U4kzpw5GPTe/xmVJVNKSGooMWZ1AGE0XNvpFQrDpgn65I1fLhwX6JXHy5fbp3Z+TkiiHDKY8EBt4rawM5kxtCOmk41KKkWSUoyUhECeJstLAQQmCDFyKu9kRPbmRFzBmFEhBDcb4Y1wIUQAoi+fZlbN8/Vj6WHzMn+A9mjkU8dwQVrrnNamEnehCU0z5lgu945GNUW7TkAAVAtERMV62hn3xdCJHr0ocaKc0UxSZLonYCB2kL7wv6fHfnk2onq060Nb8ksav37fmb4Y2ZefSx0aDtR1AaKs6mbl14sf8drhNXX6oOvt7/wmEc8FhHRsIHljix/Z9sKLnhmxPrKnZ/a9W+IJhmCC2b1aIN3fXr3/15baF+IA+ZpSTlLQ+4315yF0I5bBRXrtSV77o16/v9gYSxBQjRBWcRdr452MFIE5zx5711rUJFNubd3T7CwcC29WAghMu/7GRvrRlZQGgHUkebRenMZIoR5GDm02VzDqUQf6KYA03pjSQwNHKSN5rJsWUWk6xmIkST39ewDAAjm+U3BWBxXqlcAoxEPQrub6LXJWu0NAABgntdEmvZH+q6Zh6RifloZGjjIbKfMfb+pzkw9gFOpQaSq/5kHgQMlSYGEqDyMXCgFLaTdsE7hnEnp9DCgNIzWN0+LKLrG7oUIoczPPfoJUshNcsepxKXyRda2S8xxysm33fsZZttlnEz0vKnP5lpjcyZJWiqbmngwZQ7eVmtdfSJpDhwJotaq7W6+YurFvZT6DT+oX910Tv+161fntokMnQ16LCvE6vHDxtLOoJ/tojSwIUR/2FHKFPekzKHbdTU9rqmZcQSRXG1e/rrtbZ31gtpcGNlbAACAIJYmhx+UTb24R1VSQxBAjOCrVh6im8BsqLkZzmOPcepjRHSwA+BBUFIAhFhTUkOe12EFCSEEguh4TP2GIlu9upqd1M3cNIRIAoKzlDVyJxc0rDWvPL5tCM14HCAkfTFh9B2UsJLs+NBKSkz9WtvZcHLpqYfS1sjdXZN1CEBnTY8x0XU1OxkzvwFar87notipQIh+X5GtPlMv7k1bQ7ercmrI0HKzQvC42pj7uuNXL3pBdW4n2PVWqrcewCOEMPXCahA2lymLbCE4pSxoycQsNtrLT/th/bo4OsZjr+WsvmjpPfsxls2Gvfws45GTtobvkolZqLaufDNpDt6WMPoOhbKzGYTNlf7CwU9S6jdkon9VV3M4jr0KFyxW5eSQqiQHMCIahBDeOLnFSDZVJTkQU39SlvRcHHcmoZQGrZaz9rKE1STCRKu3Fr4bU6+aS089DAHCW7Xzj+XSk++09N4DElZTUexs9ucP/jJlYVvC8heIpH/e1Au704nReyr1C1+uNC59tZjd/XOpxMidAADYdtZfbrvrxzOJ0XsxIqpMDKLKiUEIABIAcAiQtA1KxTRoq3LiPw32HPmUIif6uWBR2904IROz2GmvyCWSmtLV7GTbXT/BOPUV2SxW6he/vE2bQxDLkqQmFWL2UhY0G63F7+bT0+8WPyBdgzCI2uuMx75MzGI3Rv2nro0ztRdPf3Hhv43f1fswp4JaBbW/teYuYoIITsoZGjDv/NeWP5ceMifG7uh5SEspOb8RVqyiNlC50jpDQx5snK690Fx15mWDJDJD5pRV1AYq862zsc+8bfq2JCNVTcnZdslbwd0Y7/Kl5iv2lr9mZJWipGC1cqV1tjibvolo2Dj/9yt/HQfUxxJaXTleeUpNyGnBBZMNyTJzau/QLfl7q/Ptc4svbH07M2JNAQggxBDLmmTYkR8aGam4fY9IgpJikiTCUJJUrF2Tg0AAtunNRk7thQjibpT31ypX2+dGDhfu19JKnoUsMHJqT3PNXQjbcaN8uXmmfLl1+jUb9E2q0Inb6UHzc4d+cfI3u7K4TT2jFA+8f/TXS+dSxwQXPGh3aP9BO2qEdtzMTyTv2DYs3HEce+bBATc3Zs1KnajVbGDHTacSbGxL6wQT8dbF5klOeZzo1YYQRhJEEPbtyeRn3z74fogAnn3H4M8vvVD+9vCRwkujtxXl1IA5vnaq9lxhOrkfS0hWTMnKDJlTc0+ufxGAjhRn8r6+R7EESXmudUrPKIWDvzD+z7GMlMhjzvrp+gtGVukZPpy/r7ZgX1ydqz69/70jv9y7J31481z92Prp+vNnv7L8l7d+fPoz+cnEXnvLX6svO1fMnNp7z2/t/fdCAB40w3pz3VvABMlDh/L3IAmd5pRHfXszWwMHsrdDCKDS9VeqLdqXsqPWrKgGJYShVJ1vn/NqYRkTJCd79eFtbx+n7G9oKZIxsmrRzKk9WrIT6X7/7+z7j688tvCnmKBvcSZWFZMkcxOJ3X4zrKoJkq4v2XMAAggRxAhD4tbDcnmueQorWKXi6MXuAAAgAElEQVQhD7bZKAJ03sMSQYpZVAdS/cYopyJ2u4ypncWZYKWLjRNDt+TvkWSkLj2/9YRV1AZu/cT078q6ZPnNqHr1udLjyV59ePhw4b7107Xna/WwfNP7x36terV9ce2V2jNbl5qnzn11+S/3/+zoJwduzt7RXHMXWuveYnrQmLj/X+z7TxBC5NaCrea6u6AYJDF4KH8XAOASkpCkJUlG7tWHN87VX6JhZ1G1fW0bHZnfY5P39L27fLl1Zu2V6rO5dmJ31ycJ+c2wuvzttS8QTTKGjxTuSw0a40E7biAMpfmnNr/mdA2ZMUGybEhWY8W5YhW1gThgHsJIwjJSbpQWcCZYe8tfJapktNbdxcyQObVzJ/ytWIKxWNA4lIf6DoRXV18UUeQJxuJ/LHAHAAAAZVG0tHa8G7trA0oDQIgGhBDc9evgH/C0ejNLIpBgCUpCgOaFY87TAHQzTAAECAOMMZR0E1uBx13O31hpTdAMqlpO78vv77lj6+X1J2M3akOMVsVryLR+kqIRD+ur/gKNechiHgUus0OX2rVVfwGAzsaHakqJheONp0KP/Vi+ArnJ5J69j458fPLevveULjZOevWonBuzdjVWnfnYp17QjuvJPn3EqQQbLOahmpQziR590K0FW1jGKoAAEhVrU/f3PWpk1OLEXb0Ply42TyqWlMyOJmY3zzdeFlywoBU3irtSBxur7lUAAKhebV9ACOLe3elbWpvecnLAGHvbZ/b/Z6cWlPS08huCi5qRVRdGbi0+4LeiulPxN2STJPKTyX1CCN5ccxdaG96SbEoJPVYKCEHEO140HAIAacB8rxFWr/PjAkBELrW9Rlg282o/UbGOpOtNggUXND1ojnuNsOJJEUEYSpFHnc3zzeP5icSeyuXWaS0hp+/5rT2/zyIerp+uvZCfSO4xc2rv/FObX5t5cOD9Vo82aBW079ll/6eS/21X7FM3aMcNvxlWzYLWf2MyDJaQnB40J7x6WGaUR9IO2R/RJINGUWjm1F49qxTdWrh1nUezACJy4ja0SCq0aQsTSAQX4uYPjL84eU/fu5srzhUsIXL4l6Z+B2GIl1+ufD/Zqw3lxhO7558ufb3/QO6oYpDEyonqU10fQaGnlUJ3HqbtfM+KbvsjDKX2pre8zeBxyv7G6vHq92ceHPiA1wjLlSuts4Wp5L7Bg7m7acTD+qJ9UVKx3gVmnn2tPii4EK+nv3AueGBHTcUkCS2t5KvzrXM3tn9z1b164fHVv5l+oP997U1vZetC8wSSIJENkqgvOZc3zzaO9exKHYQQIknByubZ+kutdXfxxuO8KcUF52HkIE1NQlVNIMvM7/wYaVoaWWYB6Vpa0OtTKLnr1gAXXO4t7qKtFtz+H3e9OsSYQElS1PGxuxAhp3kcB9zzGtg087RWXxKMRThhFVmzve4cO/E5IARHhpEVceyHS8svAgAgkmUDYEywYWSZ7ZQhhDHAmADGbPeV019AmppUxkZvt247/Anv9Lkv+ecvPa7tmn4HtswiAMARlIYAYxmpagKnkv1I19NQkoigtMM6lbAipZMD/vmL3yDFwjTYMdZAIqnY0LOCcQoE4FI6OeAcP/l5ks2MQYwI0rQkxFiWsukRAEAZvInFBAsNLTfDOPUpjxyMZYvSoGnpPfsF4CyM2uv11tXvuH5truOP8+o40bRXn8+npx6JqVeFEOEwtl/zndL9TgkAUMJYfp5gNdWxIoGQsqARU7+x87gCcLa08ex/kLD6ZwAAIQSjUeyUXj0ei1dKL/6h1CESBEKwOI69a2BIELVW51e/8z8jJKkAABTToM67oUC8s968jBBecLzy+WrzyjcBEAIAiCCAgPHIjWnQ3DlP4ZxGEKJjElYSAnAKBBBc0AACJG1Vz/6PWvPK44xFbti9RsfbOntq7m/eCyGAXHAadxlPN7THGoRwvdlefkbCShIhogEgeEyDxo3t/FartxzAA0AnY54LFgnAWctZfRFAhCkL265fubjtvbNdnLPY0HLP5dPTj+RSkw+ZWmFP10iqt2EvP60rmXFTL+zGWE2oEJOu500lnRi5u2WvviBJaoqy0FGI1QshkghW0xjLFgAQAQCuHwCv0doEbzqrL3S1hoDxOEgYfU+ODdzzWYyJbqi56XLj4pcJ1tK11vwTCbPvkKakRyWsJDQ1M0p5ZIexvZlPz7yn1rryrSBqrS6sPfVvR/vv/F1FTg4Gkb3uuFtnBOC03lr8ftIcOKwp6dFOdBvRIUQEIaxAiOW2s/q8rmanIXxVKhBE7XWE8L9OGH0Hs6nJd2ST42+TsJpq2ivPAQAhQpJWby9+T5LUFIKIrJdP/t9hZO9YvEGkyqlhQ83Ptpy1lxgiBuPU3zaV3i6EJDWbHLufsrDFBYswlt8QHWpX6/5X6UHzub59mSN6RikE7ahOQ+avHK8+3TWmawEATiAMT+UnknvyU8l9RlYptta9pbVXqs9G3ShmLGPv6rOlx3tm0zczyqONM/UXacgCIYCoLzuXnVpQQhhhTjn1GmHl6T+68NnMsDmZGTan4oB5pQuNEwBC0Npwl1Y6kZWAUU4lBX9x8GDurpFbi29TTCkBIUS1BfsCozwimqTzmEdAAGGX/NXNc42Xacj82qJ9afse/WZUqy3al5rr3mLoxC3qM2/73heeK30zM2JNCyZodzKy3SYXAAAXMsPWNwtTyX2pAWOsvemtLB+rPOk3wx+Im//HqOaau3DqCwv/deKu3oedir8hKVjz6kGZURFXrrTO2GV/Y/Ro8e31C80TWMaqYpFUdtSawTK6zjNi+aXyk6kBY1xSsV692j6/9krtub59mSOxT92e2dTNiy9sPcFiHg8ezN2lGCTRYh6FECIAAKwt2BdLFxsng3bctApa3z2/tfffJ3q0obkn1v6OqFijAfPDOG5KMlJozIOVlyvfAwCAxop7JWjHDU4FDZ24VZ5rnS5daBy/9RPTv1u50jq7drL6zO5Hhj6c6NEHiSYZWlrOAQGEWdD69jwy/OHSheaJpRe2nkj26kP7Hh35xPKx8nfnv7/51d0PD/3ixtn6i3HAvPVXas8jBJGekQuDt+TvQR0QhVWvti8UZ1I3KxZJuZVg45W/W/gvqX5jNCqo/blxa1flcutM5FC7Z0/6Fj0l5+KQ+dvePkErqtcW7Iu3fHjit5rr3gKWoLx6svK04ID37EofXD1RfSp0YrswnfrG7NsHPuDVw8rCs1uPh07cmrir5xHZIFqy3xgtXWyeIJpkDNycu5PHPIK4wyJDHVDS3OjSzd1aqA8fzt9bvnL9ji8AHSZXsk8/LwQQQTtuMMrjlZcr36sttC/e+omZf7V1sXFy/XT9+eIHJz5tFbT+/gPZ250tf40zwVID5pjVow+UL7fOXHpi7TGrqA3Mvn3gA5eeWHusdL55XH94ML9xtv5S7DFn/UztRSwh2erRBorTqQMAdCQFkoK1DmgFsN+KarKOr+1MsZjHsi79WWjHjb792aOpAWM0aEeNbVlaaMfNvv2ZW3OjiV2V+fbZ6tWOh1LkUnvpha0ntlNkEIIYEySP3dHzkFPxNxaeKX2jMJXcX5hJHRA3JtEgiLCE5LVT1ecSvcawVdQG8VvRg2dHiZhGAIAvdf/+aa6hM0l7pvv3T1JGQkoduMN6INdHhp5/vPlYMiPlH/lo/l6iIFUIIIAAwmnROqOCWmkpiwmUWdzxpXrysfqfg67E5I0qHrEgdqKmktYKuf09d5gDyfHcvp7bR94+WaJB7AkuGMJIwqqkSxoxsYLV0rH177QW6uf/oeMunWq+CAB48Y28Vgghql5pn6vMt8/RkHqDN+fuggii+pI9R0MeYAWpggs2/9Tm13jMY1mTTCwjxW9FdbnrTwMAgKEdt+pLzlxjxZlPDhhj+fHE7taGu9RJZwTMyCrF8qXmK6XzjZcBAMAu+xszDw58Y/KevvcoppQozzVPYQnJ2TFrVk2QDACg5taCLaug/ffCdGq/Ynb8hYq704ea6+7i1sXmyfxkYm9hKrXv3NeWPye6izssIaJactJvRjWiS+a2FBSADrsHS1BGGJIuMzdJFHzj3AdW5lvnAQCCaJKJMJJin7rrp2rPFWeSB7S0nF89UX1aTXYYVG412MyNJ3aZea1v8t6+n6kvO3PFmdRNkUttAMBXiYLVbYZNp88JgQmWEUEK7MTFwG3/mR/msUYD5tVXnMu1hfbFvv3Z225k+xK980zQ/9/enQfJcZ2HAX9H3z33tfeBPQDsAgvwAECQBASShkTTEs2SVUrkVMXlclVcZaWcSlKViivxH04qju1UXFIqUSJbimRRUkSJlEjJtEhBAGlQuG8sjuUe2HtnZ+e++u73Xv6YWWixAHgJoAji/apm/+ntmbczvdOvv/7e9wlIMgrOymo9MwAAUMJSLNSu9Wauls+A6erVcLvWy+gv68xhCcl6XG4xS24OS0gSFUEDAICFs/nDA0+0PauExFh12ZzPjpcvRrsDg5UlYzqYVNrUiBwffLL9uWozONcNIQSAgbat0V3Z8crF5cul0727U/vXFmFGCAp6UmmtZa1FgCBqdl1DlDKqBKXvqBEp0TIUeaiSNueoR10GAMxcKZ2OdOl98b7QsBKSooKM5U/+yQO3OgbBBzleRAUrZsFZaRmOPJwcCG8tL9an198kpoQShNE/VJaMmfbt8UcFGavdO5L7jIKdCbSoHYGk0lZdNuc9h5hu3a/Oncq+sTqPvdsYIR4O6ClSKs97S8sXkXxjhgejxHPnF89gXYvdtDNlREzE+hghPkSNG83UsivM922po3078zwLqWpY2TT4FNb1E0IsGvDyjY5VgFKCNDXmpZcvu+nMJUCIK7a2DMu9XbuCex79I0CbF+mWVRZbW4YqBw79JTGMfOgTe/4ldZy6MzN73M8VrjHbrtrTM0eo59lIUUI4HG6HQiOThFQqS9Qw8qRWW4GSqIqtLcPKYP8TOBi8SGq1LASAkUo1jTQtKqSSm8CaaynquGbsuc/MQYxFattVubdnt7595HNCNNLJCHGpZZVJubIo9/Y8Iibieb9Ymr1bmaaUepbnW8VcafzvA2pqS83MXFjKnv3me9k3nTv/PADg+ffzeoS4JvhlseRbah7fGbCuJMG67cvgNgWoKSUeaGZ23U5zxc57zpBpJiKsb/jgg0bG8g2BrWY8Yerdn5MxAEC9+bhnfCQDPL5vFcu1heOUema5tnAMYymAA527V4s6rWfaxWvXFt78s2h4w5MCloKRYPdjoqAnNSU2UDWWz2UKl76nq6mtnS07/oUiRXqT0Y3PQohFnzhVWQy0BLWWbQEtNWxa+YmambkoYDnYvHi84QTIKPUYo0RVYv2yFOxoBEwa6tbK6MzSW/81GurdJ2A5FAn27BUEJaIqsYFybe4XS9mzXwsFOh5pTz74e5oc7WuJb/k8AIAR4tabB8+4JOr/LhTo2BnWO3YqcqQHY1FT5Vg/AI1I49zysS95vl0WsBwm1LdEQYvFQn1P2W41vT740vzHOYGReCFbuPJSJNj9uKYmNkVDvftc38h5npErVWcOm3ZxsvmPfB0hTtWw82/rSmKTIoc6AYDQtAuTrle/XmeAAUZdr75i2vkJ260uJqObnl3NaLpTmjVHrr3T7zQnKRebj5sQl7gQwZ9ceyvz6i3SncdusUuh+TgBQKN6/aUfz/4dJcxfO3HyHWILMj5cy1gLSIAC8ahrV7yiqGIdCUh0DK/aDERdaT5uYFfdMrjFBVWzNsqB5uOWinO1SQDA5O22f5gaa7ThVepTLzkY3jbxxtLLlDCfuNRJDoRGKmlj9tpbmVf7Hmt5Wk/IrcGU2lHL2unmhOo6q+KW5ID4f0KtWlf3zuST0a7AgKhg3aq4hfnTuTetiltMDoS2JPpDw1bZKSxeyB+lhJLkxrBBPOomBsJbc5Pl0cqyMZe+gI4vePSwVXELib7gcOuW2E49obSaBXvl9Lcnv1RNN9qXWhWnMPryzNc3f6rzn+z+g01/QjzqJvqCQxAA6DvE6nu85ZnCdG2MEUb69rb+ViChtpUW6lNmwcmKMlapR13PIbakCd+orliLA0+0Pbv5U52fNwp2Ro3IiZWx0rn2bbFHYj2BTdRn7vLV0tnVSbVr+oYo428F27Tutq2xXa1DwWEkIMF3iDV+cOmHnkUMLSYl24ajOxhl9Mx3p768uqyN+NRXQtK3SvP1qYEn2p4NJNUOSRMCdtUt1XN2erU4Zm6yctko2CuRDn1D7+7U/kYwAsLcROWiWXLyVtkpdO9MPhnrCWxcvlQ8WcuYiwAAgCUsqzE56Zl+PdYb3BTrDWxavlI6I2lCAAlIWFtvAgAAalk7ffGH01/r39v26cf/cOhPzZKTa9sa3eWZfh0ACAaeaPvtpQuFY8SjXudDiT2AApqdrIxaFbcgSEimhPrEpa4Skv5nedGY7nkk9VQgobRW0uasFpOTmaulsz27kk8FW7RORhhZDbQiAYlqVE6oESnumn7VqXmV9XkejUKt6Nszx1Z+FusNburb0/pb0a7AgFlycsRjbrQz0F+cq48DxkCkQ9+wdKFwNDtZubS2CHOjex0jycHwCPGp170z9WQgpbRbZTdPPHpDAWAsIbl/X+tnkhvD2wQFqZEOfQO6Q0truLurtUfq37I78ERrt9R/+WT9H+NtUle8Xeo2q6QcjAgxxhiTVKipOg4m2sSuQsZbFCUoR5Ji67HXyi+COxzg0VoD3amH2p8EjLHoYHz79Pj42Y69Pb/tGV6teDV3yrO8uhSQIrGh5A6IoUA96joVuwBucb5ZC4tI3PobyeckBWsTxwo/r2Sd65PvUFJuHdmf+iyAAF746coLRtl9TzcOZo6tHIAQoM6HEnsiHXqfEpZicyezh4pz9YmeXcmntLjScu6Fa19ZvlI60+h05JYiXXpftCvQX00bswAA5tS9yugrc9/o3Z3aP7Cv7dlgi9rpGn41M1Y+p0WkRN+e1t/MjJXPX/zR7NfXFvGfOrz8aj1nL3fvSOxL9Ie2eDYxzaKbXc0eBaARCMIiyiUHwyMdD8Qfs4puFgtI7N2d2i8oWB17beGFuVO5NxhlDAlI2PfHW6x4X2hIT8itvk0t3/llB0VKAaWEecmB0Faz5OaJQ+z1hZGtiltoaYt0i6qgU4+6vkssRhmTNOEt4hK388H449Ftwd1qSIxWls253FT10qnnJ/+6Z2fyyYF9bc/qMblFEJFMXOo8+W9H/tvv/I/HtkEMBSxA0W3WFGOUUVETdOpRz655pcs/mfvWxt9o/9yn/sOD/pVX578b7Q4MXDuS+enqzR/PJpYSEqO9u1P7jYKdWZ+RCRFETs2rBBJKq2N4NW9NcKG6bM717Wn9tNDMdJk7mT3o242bUoAx5hp+NT9dG6utWAuRLr3fdxuF0YtztYkj//vqn3U9lNgT2xDcLGlCwDW8KkQQj74y+83ly8VTQ890/zMlKEYg1ODKWPmcZ/p1URX0ls2RB2O9gY1mwckaefv6Meq71KosmbPp0eIJLSon19Zps2tuRdKEv24ZijzY9VBib7Q7OCjISNHjcpL6jCyey/9i6WLh+O2OwQ9yvAAAgBaVU6ndkQcEBasrb5cvCBKWm1ldN9Qma85BL2ERvR1MqR0rY+Vz8Q3BzeF2vYcxxnJT1cuZq6UzlSVjxnsPDRfuGEp9JMs6FUUVh0NtYN3STEaIBxglUJI0pCrh9dsYYxQ4bm21fik1zZI1MfWG/sDI55z08iUGIZR7ex4VEvEBIRbtpqZZgooSghgJSBRVxhgTU8lldWjT08xx636psgglUYeSHPAymSukUl0GCAkAIQxFSVOHNj5NbaeOA3pSiMV6UUBLuLMLp8TW1GZAGfWW0heJ0Vg2Q6q1jF8oziBFCVHDLArJRH9w72NfNC+M/hAA8J1GTiZEYiq5EWtqFMnyDcEte3rmiP7AyO+Q+fnT7uLSeWXzxv2kXF50ZudPatu3fpaUK0tCPNorppKbakdP/C0A4KYbYXcCIa7hevUV37fKjldNQ/j+6qNx95+P5MSTMkIQRF/X1MSmeKT/acspzy7nR7/jE+eW0exmxO4ShOhqIzADEQQQMsAoY9RnjFII0bVCeeKnACIMIcSMUpcy33U9I4+xrDtuZZEQt56IbvqMYeXevkU9UZAtjf04v6b6+OraPwCuRxlPQ4jOQYhwoyDp6hga6e4QomvZwtUXAYQYQogpJS6l/vULBNcz8hDC14uVawchQAg0BsFYo68NaaasAQjh7Pmxbz/zy3EwSql/Q4BnFaGeDQC4DCEaa4wLomYHaUIZ8W+1j+1W0wKW/7hZc8hglHjrX4MQ18RI+PPG50W9bHHsZXCXuj/8qpon4Q+0lr0ZfLtlAVHfIQ64OUh0Ryf594LmkrdxJShmWoajDyMGmOdTf+li8bhvEwsiiIpztYnkpvB2q+wUqsvGXHXZnF//PM1161dEVZiObwgOxzcEN6sRKR5u13pjG4KbPYuYb7++8P35s/nDzQAZyE9Vrxz48/NfjHTp/a3D0R1tw9Ed4Q69l3jEnTqcedUsOFk1IicKM9W3L//9/PMrV0tnV5dSUMIoQvBn2YnqaGowtC3crvWojY5Krmv4tck30z+uZqx5OSCG89eqVxL9oS0QQ6zH5Zb5M7nDq12lXNM3IIKvLJzNH24fiT2SHAiNQAyF9pH4bupTd/507s30peLJ8oIxtTbI6DnEBgBMIAFNx3oCGxP9oWE9rrQGk2q7pAsh36X2zPGVA3MnsgfrBTuzNsBoV90yRPC1uVPZQ3pCaUsOhEci3YH+3ER51G8GHZqfywpEMFucq08mB0Mj0a5Av6wLoUin3hftDgxYFbdw5rtTX85cKZ1ZvWhCGApKSIpueLTlkytj5fOjL8/+30in3ieqWMeNSesN3xvUpz7C8KX05dKp1MbwtlCL2qlG5aRb96p21S29/fPFl4y8k1EPLf1o+Jmu34106v2w0T0sNHcyd4j5jcCVXXXLCMHvzZ3MHmwbiT2S6A8NIwzFzofie32X2nMns4fSo8UTlcZkHHg2MaePZl5Xw1IMAAhBY4J8U7vq5nu+DCHMLJ7PHw21al1tI7FHol36gKQLQafmVRbO5d/KTVQuEY+665cm+Q6xZo5mXoMIIOoxl3jErSwZs3MnswfXt47PXCmdqWbMhZmjK68lN4a3t2+N7TKKzl1N3ebuDKNKyvm0u+Da1K6VSQFCF+YW3VmEAcYCFByLmrZB645J66IMFc9jbjAixCEEkNEPdn55J0pcba3OlK56plfTWvSu8rXiZTWhtYu6FFKTWgcsWhm7aK00OhohFOwMDQD27kvZWvr0zdv2pz57+uX031k1v7x2G/GZByGAWEJyolsdAACcei9jreesZYTR82M/W/x+rCcwGN8QHBJkrDDCyPjPl17KjJXPmSUn1/wOc7GI/mMzI5E1iro3itVCBI+kRwsn1LAUS22OPBhIKK2MMFJJm7NvfunSvy9cq11ZG9wBoHGzBUJ4bPly8RSEEDVmTQCsBhmu/20e9SCE53MTlVEAGx2DmoXjGfWpf/284FMfi+hPEW4uWWWAUZ9enwMQl7hYQD+YeCP9Cmt2XyL+jW2+z33v2v+Cjf0hAICtZqA0zxVvLJzLv7VmrKxZgJ8ijK6cf3H6bxCGuJEhw9jQM51fKM7XJ0UV60pQihZmqmMQQlicq00mB8Nba1l7KZhSOoKtWjf1mScoWJMCQlCLyy3N5U5FABrnVyyir4BGtySw9m8CAIDM5eLpF/7wF/sBuD6m69tPfGP8r87/YPqrvk0sSqhPfeattvgmHvWwiL4OIYSUUH/qH5d/QprP3XzPT62Mlc9CBBGAAALWqN1GfUoQhqNv/3zppdXlwcSjDmCMpS8VT1yvfUYZWfuZZ64Uz2THy6PUp+7cqewbjAG62pSg+R7XIYRH0qPFE83aho15NAOMNd9nAAC43TH4fo8XAAAYP5T+kWP4VUHGKqOMpi8VT65dhr5e87VmEYLzEEO8WoOREkbW30D5UGAkIlUJC4nYBua6JpLl4NrNSJYDOBRqpaZVQXogsXYbbNbdEZLxAVIqLwDQqKmGde0QkuUQtawSDofa/VJpHoeCLfKG3sdJvZ6rHzv5NS+9PAqlRua/n8tPWYxRsSW1GSCI5Z7unYAxBiVJk/s2PE5qtQytG3nGKLGnpt9Cuh7HoVCbkIj3maOXXqE1I6duHfoMAIDV3jr2FVpvBngMsyS1t31bf/iBLyBNjTLXtaAgKFAUVYgRDj7+qAYgRCigJxllBErSDd3XnOnZo2IyMagM9H8CAACRooTdunEBUOp7y5krUnfXw36xNAcYY1AU7lq9PQYY8YlTkaRASldTw4aVu9UNao67Dn6Yy+w/igQsB3Q1uVkS9VRjWRYDdXPlku1W5j/UGgQc9zGHMESMAfZubbp/FbIuBtSonBIVrDYzL3xGmG8Uneztumm8Hwg3OmR8nL8bBAlLm5/u/Kcjz/X8vm8Ty7X8eqwnuGn84NIPT35z/K/WT4Q/CIQRvpMFRD8MooJVRgFZf4G53tqubty9RZSQxCijvs98UUayoiLNc5kLAABYAALxgQ8hAKIMFVlBWigmJAUJyrNj1gXHonesgyEWsbTti7v+wqs7ZSWqprAi6FbBXBZVMZAbzRxVk3pHfDi1y0jXZpS42lq5Vhzt/uTA746/cOnLcwemvvdOz73zufZ/3r4psH3xau3c+dcy31+7VAciCD/9bwb+wrOpOX60cKC5nIv7NdHjSmrPHw39p8JMbSw5EN7qe9RhPiWUMI8xQJOD4W3Up54cEMNLFwvHI516X6RT35AdL18szhuT4wcWXywt1Kff/ZW4+xkUBEnu7twBFSXIHNdgjlN3FpcurG6XWluGkKpGqOsagFLfXc5cXd0mppIDSNfiWNPixDDzzuzc9aAwDgVTcp4HQoYAAAUBSURBVFfXDv3h7V+gll0GAAC/WJpDAT0BMZaQpkXN8xdfNK+MvbZ2LEI8tgEpchAQ6gOMRQAA83O5SWJaFQAAQLKs40i4Q4hFe8VEvM/PF6aJaZXERKzPzWSvepnMVbZufoGDgYQQj/evLt3y84VrpFrNaNtHPht6Yu+/orZdBwCwyusH/4s9M3v8hn01LSrEY71IUUIAAkQMs+Dn8pNQEjWpo/0BIGCROa7hLi2PUqsxxjstHhn4ZDzct59SYmMk6j5xqtcW3/zPd+O1uI+Hj2QGz4fJJ04dAHDm1z0Ojvu4+zAuep1GEOeurZO9Hy7cfZe4gox/MH0k89razlme6dfvRHAHgOtZNfeUZh2sd3U/HCMfV4QwfzULxnOoAwBwbvV7WIC2quPQo89EPg8hgCsL7jRottG+IyCAADAQaA/1QQxFRhmRgnKUOL4V7ottAZTR+mJ1iri+bSz7M3JUTRUur5yoTBXfdXmA71FXCQghNSSEAzEpCRFcYZQxhCFuGwgMqSEx0r5RGZm9UD7+bs/F3V1O3aueen7yvzPK6MzRldcby2wbNy4gaHQIBRAgiCFiPvORgEQkQIESRoy8nbFr3vpaFBx3E+b7LgDg2O22u5mV22aLeNncFLhNHRNSrWWRKB5y5udPN6qYMco8zwIYi1BstKRmln1DQKQ5lnfsHkYdxwAATAAAJiDGAmjWbnIXl84zcuuVCaRWz4Nb1HJBoviqPTV9GDRWsENqWuWb9jXNEri5rgsAje/8Q+801juFUNcAAAJCXEMQ1LjnVm7Kgue4te77DB6O4ziO4+5vg9v1nUM79L2yirRCxlvKLjozVp1WXYfagoBENYhCoaiQjLeKHVoQhyMJoSXZIfXmltzZH301+5eFjLt0J8cjyIICMRSoT13q0TvW1WzoE4lneh+I7PZsYldWnCWEIYYY4lLamkv2aINdW0I7KAXk6P9b+MriWPXCuz8jx3EcdzcJghIK6e0PIyQohDg1yynP2E7ljp5zuI+X+z6Dh+M4juO4+1vXoLKlpVvuY5TRRLvUvXV34AlKGGEMMM9ldmnFS9cqpJhdcmfjLWJnvewXGQCgkPEWLYNU7/R4fMe/K0VWFy5Xz7RvDI5EWuWu9ER9tH0wMGKUvYJV9ctYRFLLQGB4/EjhZ9lZY+JuvD7HcRz3/vi+XQUAvPnrHgd37+ABHo7jOI7j7mueQ21RhJKkIK1eJgU9KEbMOqksTNpXAQM0EMHxgRF1RziGUxBBlFtyZx2TGheP1A5YBr1n2qfWi26ua0vo4Cd+r+dfD+9LfNooe/l4SIhoYSEa79b6x48WDhz7/sJXXYu8Y4tcjuM4juM+mvgSLY7jOI7j7muhmJAIx4WUJCNFC+JwrEVshxAgy6R1CABQNBRQAzjoudSBEKJ82p0vZLzFzJwz5Tbq9dwzEIIokJBSwZiUAgBAQUKyY5E68ZhXLzgrVs2/4xlJHMdxHMd9OHiAh+M4juM4rgkhCBuFjgFotkZe/XkdY4Dxgtocx3Ecx33U8AAPx3Ecx3Ecx3Ecx3HcPQ79ugfAcRzHcRzHcRzHcRzH/Wp4gIfjOI7jOI7jOI7jOO4exwM8HMdxHMdxHMdxHMdx9zge4OE4juM4juM4juM4jrvH8QAPx3Ecx3Ecx3Ecx3HcPY4HeDiO4ziO4ziO4ziO4+5xPMDDcRzHcRzHcRzHcRx3j/v/GupJAIh1m18AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1152x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "wc_params =dict(font_path=str(dirdata.joinpath(\"fonts/cabinsketch/CabinSketch-Bold.otf\")), \n",
    "                width=800, height=400, prefer_horizontal=0.6, max_words=30, \n",
    "                random_state=2, background_color=None, mode=\"RGBA\", colormap='viridis',)\n",
    "\n",
    "figwc = plt.figure(figsize=(16, 12))\n",
    "figwc.subplots_adjust(hspace=0.05, wspace=0.1)\n",
    "\n",
    "cols = 2\n",
    "rows = int(np.ceil(bags1.n / cols))\n",
    "\n",
    "for i in range(bags1.n):\n",
    "    freq = dict(Counter(toks[i]))\n",
    "    wc = WordCloud(**wc_params).generate_from_frequencies(freq)\n",
    "\n",
    "    plt.subplot(rows, cols, i+1).set_title(f\"Fuente {fuentes[i]}\")\n",
    "    plt.plot()\n",
    "    plt.imshow(wc, interpolation=\"bilinear\")\n",
    "    plt.axis(\"off\")\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig(graficas.joinpath('wc_fuentes.png'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Modelos de tópicos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Crear y evaluar múltiples modelos LDA\n",
    "\n",
    "Los modelos de tópicos se usan para encontrar \"temáticas\" subyacentes en los textos.\n",
    "\n",
    "El parámetro básico a especificar en un modelo es el número de tópicos que se quiere considerar en el resultado.\n",
    "\n",
    "Esta librería usa [Gensim][web_gensim] para la implementación del cálculo de los modelos. En su [documentación][gensim_tuts] encontrará todo lo necesario para correr este tipo de modelos y muchas técnicas adicionales no usadas en esta librería. [banrep][pypi_banrep] simplemente ofrece una forma de correr varios modelos LDA y calificarlos según [Coherence Score][gensim_score], todo basado en Gensim.\n",
    "\n",
    "[web_gensim]: https://radimrehurek.com/gensim/models/ldamodel.html\n",
    "[gensim_tuts]: https://radimrehurek.com/gensim/tutorial.html\n",
    "[pypi_banrep]: https://pypi.org/project/banrep/\n",
    "[gensim_score]: https://radimrehurek.com/gensim/models/coherencemodel.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Uso de clase: `Topicos`\n",
    "\n",
    "Se usa para crear modelos LDA para diferentes números de tópicos.\n",
    "\n",
    "Los modelos de tópicos suelen ser evaluados usando una medida llamada *Coherence Score*. Esta medida sugiere qué tan \"interpretables\" son los modelos. Un mayor score es un modelo más \"interpretable\", y por lo tanto mejor.\n",
    "\n",
    "`Topicos` devuelve los modelos generados al iterar, donde cada elemento devuelto es un diccionario que contiene el modelo, el *score* y el número de tópicos de ese modelo."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mInit signature:\u001b[0m \u001b[0mTopicos\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbags\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkas\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mparams\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mDocstring:\u001b[0m     \n",
       "Modelos de tópicos basados en LDA.\n",
       "\n",
       "Parameters\n",
       "----------\n",
       "bags : banrep.transforma.Bags\n",
       "    Bags of Words de documentos.\n",
       "kas : Iterable[int]\n",
       "    Diferentes k tópicos para los cuales crear modelo.\n",
       "params : dict\n",
       "    Parámetros requeridos en modelos LDA.\n",
       "    Ver https://radimrehurek.com/gensim/models/ldamodel.html\n",
       "\n",
       "Yields\n",
       "------\n",
       "dict (k:int, modelo: gensim.models.ldamodel.LdaModel, score: float)\n",
       "    Modelo de Tópicos para cada k.\n",
       "\u001b[0;31mInit docstring:\u001b[0m Requiere bags, kas, params.\n",
       "\u001b[0;31mFile:\u001b[0m           ~/munozbravo/banrep/banrep/transforma.py\n",
       "\u001b[0;31mType:\u001b[0m           type\n",
       "\u001b[0;31mSubclasses:\u001b[0m     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Topicos?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "# usando el bow generado anteriormente...\n",
    "\n",
    "kas = (5, 10, 20)\n",
    "params = dict(passes=10, alpha='auto', eta='auto', random_state=100)\n",
    "\n",
    "modelos = Topicos(bags, kas, params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-04-10 14:38:22 : INFO : Modelo de 5 tópicos creado y evaluado.\n",
      "2020-04-10 14:40:58 : INFO : Modelo de 10 tópicos creado y evaluado.\n",
      "2020-04-10 14:43:49 : INFO : Modelo de 20 tópicos creado y evaluado.\n"
     ]
    }
   ],
   "source": [
    "ldas = sorted((modelo for modelo in modelos), key=lambda x: x.get(\"score\"), reverse=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Modelos LDA para k en (5, 10, 20): Mejor k=10 con Coherence Score=0.489\n"
     ]
    }
   ],
   "source": [
    "print(modelos)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LdaModel(num_terms=34677, num_topics=10, decay=0.5, chunksize=2000)\n"
     ]
    }
   ],
   "source": [
    "modelo = ldas[0].get('modelo')\n",
    "print(modelo)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Una vez se tiene un modelo de tópicos generalmente se quiere investigar los resultados, y potencialmente aplicarlo a otros conjuntos de documentos."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Distribución de probabilidad de tokens en cada tópico de un modelo\n",
    "\n",
    "Un tópico no es más que una serie de palabras con cierta probabilidad de ocurrir. Las palabras con mayor probabilidad son las que permiten \"caracterizar\" un tópico. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Uso de función: `tabulados.df_probables`\n",
    "\n",
    "Genera un DataFrame con las palabras más probables de cada tópico en un modelo."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mSignature:\u001b[0m \u001b[0mtabulados\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdf_probables\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodelo\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m15\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mDocstring:\u001b[0m\n",
       "Distribución de probabilidad de tokens en tópicos de modelo.\n",
       "\n",
       "Parameters\n",
       "----------\n",
       "modelo : gensim.models.ldamodel.LdaModel\n",
       "n : int optional\n",
       "    Cuantos tokens incluir.\n",
       "\n",
       "Returns\n",
       "-------\n",
       "pd.DataFrame\n",
       "    Tokens probables de cada tópico y sus probabilidades.\n",
       "\u001b[0;31mFile:\u001b[0m      ~/munozbravo/banrep/banrep/tabulados.py\n",
       "\u001b[0;31mType:\u001b[0m      function\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tabulados.df_probables?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>token</th>\n",
       "      <th>probabilidad</th>\n",
       "      <th>topico</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>crecimiento</td>\n",
       "      <td>0.066416</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>dinámica</td>\n",
       "      <td>0.018276</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>menor</td>\n",
       "      <td>0.018137</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>comportamiento</td>\n",
       "      <td>0.013482</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>pib</td>\n",
       "      <td>0.012801</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            token  probabilidad  topico\n",
       "0     crecimiento      0.066416       0\n",
       "1        dinámica      0.018276       0\n",
       "2           menor      0.018137       0\n",
       "3  comportamiento      0.013482       0\n",
       "4             pib      0.012801       0"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "probables = tabulados.df_probables(modelo, n=20)\n",
    "probables.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### *Fuera de `banrep`*\n",
    "La siguiente celda escribe código usual pero que sin embargo no hace parte de la librería."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "wcfig = plt.figure(figsize=(16, 12))\n",
    "wcfig.subplots_adjust(hspace=0.05, wspace=0.1)\n",
    "\n",
    "k = modelo.num_topics\n",
    "r = int(np.ceil(k / 2))\n",
    "\n",
    "for t in range(k):\n",
    "    freq = dict(modelo.show_topic(t, topn=20))\n",
    "    wc = WordCloud(**wc_params).generate_from_frequencies(freq)\n",
    "\n",
    "    plt.subplot(r, 2, t+1).set_title(f\"Tópico {t}\")\n",
    "    plt.plot()\n",
    "    plt.imshow(wc, interpolation=\"bilinear\")\n",
    "    plt.axis(\"off\")\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig(graficas.joinpath('wc_topicos.png'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Distribución de probabilidad de tópicos de un modelo en cada documento\n",
    "\n",
    "Usualmente se quiere ver la probabilidad de cada tópico asociada a cada documento. Se puede  pensar un documento como generado de una distribución de probabilidad de tópicos. \n",
    "\n",
    "Para cada documento (fila) se quiere la probabilidad de que hable de cada tópico (columna)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
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       "                0         2         3         4         5         6         7  \\\n",
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       "0044842  0.086394  0.062801  0.040563  0.292313  0.204574  0.113193  0.013632   \n",
       "0044843  0.056045  0.038308  0.025360  0.219083  0.068989  0.322479       NaN   \n",
       "0044844  0.065804  0.029356  0.030024  0.303337  0.077620  0.090315  0.019387   \n",
       "\n",
       "                1         8         9  \n",
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       "0044844  0.020352  0.340039  0.023766  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# usando el bow generado anteriormente...\n",
    "idms, toks, sparsed = [], [], []\n",
    "\n",
    "for b in bags:\n",
    "    idms.append(b.get(\"idm\"))\n",
    "    toks.append(b.get(\"tokens\"))\n",
    "    sparsed.append(b.get(\"sparsed\"))\n",
    "\n",
    "\n",
    "# Document-Feature Matrix\n",
    "dfm = pd.DataFrame(data=(dict(d) for d in modelo[sparsed]), index=idms)\n",
    "dfm.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Basado en esta distribución, se quiere saber la \"prevalencia\" de cada tópico: en cuantos documentos del corpus es dominante (el de mayor probabilidad)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>topico</th>\n",
       "      <th>domina</th>\n",
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       "  </thead>\n",
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       "   topico    domina\n",
       "0       5  0.264962\n",
       "1       0  0.256422\n",
       "2       4  0.138676\n",
       "3       2  0.128709\n",
       "4       3  0.109727"
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     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dom = dfm.idxmax(axis=1).value_counts(normalize=True)\n",
    "dom.index.name = \"topico\"\n",
    "dom = dom.to_frame(name=\"domina\").reset_index()\n",
    "\n",
    "dom.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
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32-Math.clz32(t)}:i.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},i.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},i.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},i.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},i.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},i.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},i.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},i.prototype.isNeg=function(){return 0!==this.negative},i.prototype.neg=function(){return 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this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},i.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},i.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},i.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},i.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},i.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var a=0;a<e;a++)this.words[a]=67108863&~this.words[a];return r>0&&(this.words[a]=~this.words[a]&67108863>>26-r),this.strip()},i.prototype.notn=function(t){return this.clone().inotn(t)},i.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,a=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<a:this.words[r]&~(1<<a),this.strip()},i.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var a=0,i=0;i<n.length;i++)e=(0|r.words[i])+(0|n.words[i])+a,this.words[i]=67108863&e,a=e>>>26;for(;0!==a&&i<r.length;i++)e=(0|r.words[i])+a,this.words[i]=67108863&e,a=e>>>26;if(this.length=r.length,0!==a)this.words[this.length]=a,this.length++;else if(r!==this)for(;i<r.length;i++)this.words[i]=r.words[i];return this},i.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},i.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,a=this.cmp(t);if(0===a)return this.negative=0,this.length=1,this.words[0]=0,this;a>0?(r=this,n=t):(r=t,n=this);for(var i=0,o=0;o<n.length;o++)i=(e=(0|r.words[o])-(0|n.words[o])+i)>>26,this.words[o]=67108863&e;for(;0!==i&&o<r.length;o++)i=(e=(0|r.words[o])+i)>>26,this.words[o]=67108863&e;if(0===i&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},i.prototype.sub=function(t){return this.clone().isub(t)};var p=function(t,e,r){var n,a,i,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],h=8191&u,f=u>>>13,p=0|o[1],d=8191&p,g=p>>>13,v=0|o[2],m=8191&v,y=v>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],k=8191&w,T=w>>>13,M=0|o[5],A=8191&M,S=M>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,z=P>>>13,I=0|o[8],D=8191&I,R=I>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],V=8191&j,U=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,at=0|s[6],it=8191&at,ot=at>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ht=8191&ut,ft=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var vt=(c+(n=Math.imul(h,V))|0)+((8191&(a=(a=Math.imul(h,U))+Math.imul(f,V)|0))<<13)|0;c=((i=Math.imul(f,U))+(a>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(d,V),a=(a=Math.imul(d,U))+Math.imul(g,V)|0,i=Math.imul(g,U);var mt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(a=(a=a+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((i=i+Math.imul(f,G)|0)+(a>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(m,V),a=(a=Math.imul(m,U))+Math.imul(y,V)|0,i=Math.imul(y,U),n=n+Math.imul(d,H)|0,a=(a=a+Math.imul(d,G)|0)+Math.imul(g,H)|0,i=i+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(a=(a=a+Math.imul(h,X)|0)+Math.imul(f,W)|0))<<13)|0;c=((i=i+Math.imul(f,X)|0)+(a>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,V),a=(a=Math.imul(b,U))+Math.imul(_,V)|0,i=Math.imul(_,U),n=n+Math.imul(m,H)|0,a=(a=a+Math.imul(m,G)|0)+Math.imul(y,H)|0,i=i+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,a=(a=a+Math.imul(d,X)|0)+Math.imul(g,W)|0,i=i+Math.imul(g,X)|0;var xt=(c+(n=n+Math.imul(h,J)|0)|0)+((8191&(a=(a=a+Math.imul(h,K)|0)+Math.imul(f,J)|0))<<13)|0;c=((i=i+Math.imul(f,K)|0)+(a>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(k,V),a=(a=Math.imul(k,U))+Math.imul(T,V)|0,i=Math.imul(T,U),n=n+Math.imul(b,H)|0,a=(a=a+Math.imul(b,G)|0)+Math.imul(_,H)|0,i=i+Math.imul(_,G)|0,n=n+Math.imul(m,W)|0,a=(a=a+Math.imul(m,X)|0)+Math.imul(y,W)|0,i=i+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,a=(a=a+Math.imul(d,K)|0)+Math.imul(g,J)|0,i=i+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(a=(a=a+Math.imul(h,tt)|0)+Math.imul(f,$)|0))<<13)|0;c=((i=i+Math.imul(f,tt)|0)+(a>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(A,V),a=(a=Math.imul(A,U))+Math.imul(S,V)|0,i=Math.imul(S,U),n=n+Math.imul(k,H)|0,a=(a=a+Math.imul(k,G)|0)+Math.imul(T,H)|0,i=i+Math.imul(T,G)|0,n=n+Math.imul(b,W)|0,a=(a=a+Math.imul(b,X)|0)+Math.imul(_,W)|0,i=i+Math.imul(_,X)|0,n=n+Math.imul(m,J)|0,a=(a=a+Math.imul(m,K)|0)+Math.imul(y,J)|0,i=i+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,a=(a=a+Math.imul(d,tt)|0)+Math.imul(g,$)|0,i=i+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(a=(a=a+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((i=i+Math.imul(f,nt)|0)+(a>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,V),a=(a=Math.imul(L,U))+Math.imul(C,V)|0,i=Math.imul(C,U),n=n+Math.imul(A,H)|0,a=(a=a+Math.imul(A,G)|0)+Math.imul(S,H)|0,i=i+Math.imul(S,G)|0,n=n+Math.imul(k,W)|0,a=(a=a+Math.imul(k,X)|0)+Math.imul(T,W)|0,i=i+Math.imul(T,X)|0,n=n+Math.imul(b,J)|0,a=(a=a+Math.imul(b,K)|0)+Math.imul(_,J)|0,i=i+Math.imul(_,K)|0,n=n+Math.imul(m,$)|0,a=(a=a+Math.imul(m,tt)|0)+Math.imul(y,$)|0,i=i+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,a=(a=a+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,i=i+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(h,it)|0)|0)+((8191&(a=(a=a+Math.imul(h,ot)|0)+Math.imul(f,it)|0))<<13)|0;c=((i=i+Math.imul(f,ot)|0)+(a>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,V),a=(a=Math.imul(O,U))+Math.imul(z,V)|0,i=Math.imul(z,U),n=n+Math.imul(L,H)|0,a=(a=a+Math.imul(L,G)|0)+Math.imul(C,H)|0,i=i+Math.imul(C,G)|0,n=n+Math.imul(A,W)|0,a=(a=a+Math.imul(A,X)|0)+Math.imul(S,W)|0,i=i+Math.imul(S,X)|0,n=n+Math.imul(k,J)|0,a=(a=a+Math.imul(k,K)|0)+Math.imul(T,J)|0,i=i+Math.imul(T,K)|0,n=n+Math.imul(b,$)|0,a=(a=a+Math.imul(b,tt)|0)+Math.imul(_,$)|0,i=i+Math.imul(_,tt)|0,n=n+Math.imul(m,rt)|0,a=(a=a+Math.imul(m,nt)|0)+Math.imul(y,rt)|0,i=i+Math.imul(y,nt)|0,n=n+Math.imul(d,it)|0,a=(a=a+Math.imul(d,ot)|0)+Math.imul(g,it)|0,i=i+Math.imul(g,ot)|0;var kt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(a=(a=a+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((i=i+Math.imul(f,ct)|0)+(a>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(D,V),a=(a=Math.imul(D,U))+Math.imul(R,V)|0,i=Math.imul(R,U),n=n+Math.imul(O,H)|0,a=(a=a+Math.imul(O,G)|0)+Math.imul(z,H)|0,i=i+Math.imul(z,G)|0,n=n+Math.imul(L,W)|0,a=(a=a+Math.imul(L,X)|0)+Math.imul(C,W)|0,i=i+Math.imul(C,X)|0,n=n+Math.imul(A,J)|0,a=(a=a+Math.imul(A,K)|0)+Math.imul(S,J)|0,i=i+Math.imul(S,K)|0,n=n+Math.imul(k,$)|0,a=(a=a+Math.imul(k,tt)|0)+Math.imul(T,$)|0,i=i+Math.imul(T,tt)|0,n=n+Math.imul(b,rt)|0,a=(a=a+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,i=i+Math.imul(_,nt)|0,n=n+Math.imul(m,it)|0,a=(a=a+Math.imul(m,ot)|0)+Math.imul(y,it)|0,i=i+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,a=(a=a+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,i=i+Math.imul(g,ct)|0;var Tt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(a=(a=a+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((i=i+Math.imul(f,ft)|0)+(a>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(B,V),a=(a=Math.imul(B,U))+Math.imul(N,V)|0,i=Math.imul(N,U),n=n+Math.imul(D,H)|0,a=(a=a+Math.imul(D,G)|0)+Math.imul(R,H)|0,i=i+Math.imul(R,G)|0,n=n+Math.imul(O,W)|0,a=(a=a+Math.imul(O,X)|0)+Math.imul(z,W)|0,i=i+Math.imul(z,X)|0,n=n+Math.imul(L,J)|0,a=(a=a+Math.imul(L,K)|0)+Math.imul(C,J)|0,i=i+Math.imul(C,K)|0,n=n+Math.imul(A,$)|0,a=(a=a+Math.imul(A,tt)|0)+Math.imul(S,$)|0,i=i+Math.imul(S,tt)|0,n=n+Math.imul(k,rt)|0,a=(a=a+Math.imul(k,nt)|0)+Math.imul(T,rt)|0,i=i+Math.imul(T,nt)|0,n=n+Math.imul(b,it)|0,a=(a=a+Math.imul(b,ot)|0)+Math.imul(_,it)|0,i=i+Math.imul(_,ot)|0,n=n+Math.imul(m,lt)|0,a=(a=a+Math.imul(m,ct)|0)+Math.imul(y,lt)|0,i=i+Math.imul(y,ct)|0,n=n+Math.imul(d,ht)|0,a=(a=a+Math.imul(d,ft)|0)+Math.imul(g,ht)|0,i=i+Math.imul(g,ft)|0;var Mt=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(a=(a=a+Math.imul(h,gt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((i=i+Math.imul(f,gt)|0)+(a>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,H),a=(a=Math.imul(B,G))+Math.imul(N,H)|0,i=Math.imul(N,G),n=n+Math.imul(D,W)|0,a=(a=a+Math.imul(D,X)|0)+Math.imul(R,W)|0,i=i+Math.imul(R,X)|0,n=n+Math.imul(O,J)|0,a=(a=a+Math.imul(O,K)|0)+Math.imul(z,J)|0,i=i+Math.imul(z,K)|0,n=n+Math.imul(L,$)|0,a=(a=a+Math.imul(L,tt)|0)+Math.imul(C,$)|0,i=i+Math.imul(C,tt)|0,n=n+Math.imul(A,rt)|0,a=(a=a+Math.imul(A,nt)|0)+Math.imul(S,rt)|0,i=i+Math.imul(S,nt)|0,n=n+Math.imul(k,it)|0,a=(a=a+Math.imul(k,ot)|0)+Math.imul(T,it)|0,i=i+Math.imul(T,ot)|0,n=n+Math.imul(b,lt)|0,a=(a=a+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,i=i+Math.imul(_,ct)|0,n=n+Math.imul(m,ht)|0,a=(a=a+Math.imul(m,ft)|0)+Math.imul(y,ht)|0,i=i+Math.imul(y,ft)|0;var At=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(a=(a=a+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((i=i+Math.imul(g,gt)|0)+(a>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,W),a=(a=Math.imul(B,X))+Math.imul(N,W)|0,i=Math.imul(N,X),n=n+Math.imul(D,J)|0,a=(a=a+Math.imul(D,K)|0)+Math.imul(R,J)|0,i=i+Math.imul(R,K)|0,n=n+Math.imul(O,$)|0,a=(a=a+Math.imul(O,tt)|0)+Math.imul(z,$)|0,i=i+Math.imul(z,tt)|0,n=n+Math.imul(L,rt)|0,a=(a=a+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,i=i+Math.imul(C,nt)|0,n=n+Math.imul(A,it)|0,a=(a=a+Math.imul(A,ot)|0)+Math.imul(S,it)|0,i=i+Math.imul(S,ot)|0,n=n+Math.imul(k,lt)|0,a=(a=a+Math.imul(k,ct)|0)+Math.imul(T,lt)|0,i=i+Math.imul(T,ct)|0,n=n+Math.imul(b,ht)|0,a=(a=a+Math.imul(b,ft)|0)+Math.imul(_,ht)|0,i=i+Math.imul(_,ft)|0;var St=(c+(n=n+Math.imul(m,dt)|0)|0)+((8191&(a=(a=a+Math.imul(m,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((i=i+Math.imul(y,gt)|0)+(a>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),a=(a=Math.imul(B,K))+Math.imul(N,J)|0,i=Math.imul(N,K),n=n+Math.imul(D,$)|0,a=(a=a+Math.imul(D,tt)|0)+Math.imul(R,$)|0,i=i+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,a=(a=a+Math.imul(O,nt)|0)+Math.imul(z,rt)|0,i=i+Math.imul(z,nt)|0,n=n+Math.imul(L,it)|0,a=(a=a+Math.imul(L,ot)|0)+Math.imul(C,it)|0,i=i+Math.imul(C,ot)|0,n=n+Math.imul(A,lt)|0,a=(a=a+Math.imul(A,ct)|0)+Math.imul(S,lt)|0,i=i+Math.imul(S,ct)|0,n=n+Math.imul(k,ht)|0,a=(a=a+Math.imul(k,ft)|0)+Math.imul(T,ht)|0,i=i+Math.imul(T,ft)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(a=(a=a+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((i=i+Math.imul(_,gt)|0)+(a>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),a=(a=Math.imul(B,tt))+Math.imul(N,$)|0,i=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,a=(a=a+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,i=i+Math.imul(R,nt)|0,n=n+Math.imul(O,it)|0,a=(a=a+Math.imul(O,ot)|0)+Math.imul(z,it)|0,i=i+Math.imul(z,ot)|0,n=n+Math.imul(L,lt)|0,a=(a=a+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,i=i+Math.imul(C,ct)|0,n=n+Math.imul(A,ht)|0,a=(a=a+Math.imul(A,ft)|0)+Math.imul(S,ht)|0,i=i+Math.imul(S,ft)|0;var Lt=(c+(n=n+Math.imul(k,dt)|0)|0)+((8191&(a=(a=a+Math.imul(k,gt)|0)+Math.imul(T,dt)|0))<<13)|0;c=((i=i+Math.imul(T,gt)|0)+(a>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),a=(a=Math.imul(B,nt))+Math.imul(N,rt)|0,i=Math.imul(N,nt),n=n+Math.imul(D,it)|0,a=(a=a+Math.imul(D,ot)|0)+Math.imul(R,it)|0,i=i+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,a=(a=a+Math.imul(O,ct)|0)+Math.imul(z,lt)|0,i=i+Math.imul(z,ct)|0,n=n+Math.imul(L,ht)|0,a=(a=a+Math.imul(L,ft)|0)+Math.imul(C,ht)|0,i=i+Math.imul(C,ft)|0;var Ct=(c+(n=n+Math.imul(A,dt)|0)|0)+((8191&(a=(a=a+Math.imul(A,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((i=i+Math.imul(S,gt)|0)+(a>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,it),a=(a=Math.imul(B,ot))+Math.imul(N,it)|0,i=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,a=(a=a+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,i=i+Math.imul(R,ct)|0,n=n+Math.imul(O,ht)|0,a=(a=a+Math.imul(O,ft)|0)+Math.imul(z,ht)|0,i=i+Math.imul(z,ft)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(a=(a=a+Math.imul(L,gt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((i=i+Math.imul(C,gt)|0)+(a>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),a=(a=Math.imul(B,ct))+Math.imul(N,lt)|0,i=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,a=(a=a+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,i=i+Math.imul(R,ft)|0;var Ot=(c+(n=n+Math.imul(O,dt)|0)|0)+((8191&(a=(a=a+Math.imul(O,gt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((i=i+Math.imul(z,gt)|0)+(a>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ht),a=(a=Math.imul(B,ft))+Math.imul(N,ht)|0,i=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(a=(a=a+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((i=i+Math.imul(R,gt)|0)+(a>>>13)|0)+(zt>>>26)|0,zt&=67108863;var It=(c+(n=Math.imul(B,dt))|0)+((8191&(a=(a=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((i=Math.imul(N,gt))+(a>>>13)|0)+(It>>>26)|0,It&=67108863,l[0]=vt,l[1]=mt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=kt,l[8]=Tt,l[9]=Mt,l[10]=At,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=zt,l[18]=It,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(p=f),i.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?f(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,a=0,i=0;i<r.length-1;i++){var o=a;a=0;for(var s=67108863&n,l=Math.min(i,e.length-1),c=Math.max(0,i-t.length+1);c<=l;c++){var u=i-c,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),a+=(o=(o=o+(h/67108864|0)|0)+(f>>>26)|0)>>>26,o&=67108863}r.words[i]=s,n=o,o=a}return 0!==n?r.words[i]=n:r.length--,r.strip()}(this,t,e):d(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=i.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,a=0;a<e;a++)n|=(1&t)<<e-a-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,a,i){for(var o=0;o<i;o++)n[o]=e[t[o]],a[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,a,i){this.permute(i,t,e,r,n,a);for(var o=1;o<a;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<a;u+=s)for(var h=l,f=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],v=r[u+p+o],m=n[u+p+o],y=h*v-f*m;m=h*m+f*v,v=y,r[u+p]=d+v,n[u+p]=g+m,r[u+p+o]=d-v,n[u+p+o]=g-m,p!==s&&(y=l*h-c*f,f=l*f+c*h,h=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,a=0;for(r=r/2|0;r;r>>>=1)a++;return 1<<a+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var a=t[n];t[n]=t[r-n-1],t[r-n-1]=a,a=e[n],e[n]=-e[r-n-1],e[r-n-1]=-a}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var a=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&a,r=a<67108864?0:a/67108864|0}return t},g.prototype.convert13b=function(t,e,r,a){for(var i=0,o=0;o<e;o++)i+=0|t[o],r[2*o]=8191&i,i>>>=13,r[2*o+1]=8191&i,i>>>=13;for(o=2*e;o<a;++o)r[o]=0;n(0===i),n(0==(-8192&i))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),a=this.makeRBT(n),i=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,i,s,l,n,a),this.transform(c,i,u,h,n,a);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*h[p];l[p]=s[p]*h[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,f,i,n,a),this.conjugate(f,i,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},i.prototype.mul=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},i.prototype.mulf=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),d(this,t,e)},i.prototype.imul=function(t){return this.clone().mulTo(t,this)},i.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var a=(0|this.words[r])*t,i=(67108863&a)+(67108863&e);e>>=26,e+=a/67108864|0,e+=i>>>26,this.words[r]=67108863&i}return 0!==e&&(this.words[r]=e,this.length++),this},i.prototype.muln=function(t){return this.clone().imuln(t)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.imul(this.clone())},i.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,a=r%26;e[r]=(t.words[n]&1<<a)>>>a}return e}(t);if(0===e.length)return new i(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var a=r.sqr();n<e.length;n++,a=a.sqr())0!==e[n]&&(r=r.mul(a));return r},i.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,a=(t-r)/26,i=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&i,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==a){for(e=this.length-1;e>=0;e--)this.words[e+a]=this.words[e];for(e=0;e<a;e++)this.words[e]=0;this.length+=a}return this.strip()},i.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},i.prototype.iushrn=function(t,e,r){var a;n(\"number\"==typeof t&&t>=0),a=e?(e-e%26)/26:0;var i=t%26,o=Math.min((t-i)/26,this.length),s=67108863^67108863>>>i<<i,l=r;if(a-=o,a=Math.max(0,a),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=a);c--){var h=0|this.words[c];this.words[c]=u<<26-i|h>>>i,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},i.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},i.prototype.shln=function(t){return this.clone().ishln(t)},i.prototype.ushln=function(t){return this.clone().iushln(t)},i.prototype.shrn=function(t){return this.clone().ishrn(t)},i.prototype.ushrn=function(t){return this.clone().iushrn(t)},i.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,a=1<<e;return!(this.length<=r)&&!!(this.words[r]&a)},i.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var a=67108863^67108863>>>e<<e;this.words[this.length-1]&=a}return this.strip()},i.prototype.maskn=function(t){return this.clone().imaskn(t)},i.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},i.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},i.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},i.prototype.addn=function(t){return this.clone().iaddn(t)},i.prototype.subn=function(t){return this.clone().isubn(t)},i.prototype.iabs=function(){return this.negative=0,this},i.prototype.abs=function(){return this.clone().iabs()},i.prototype._ishlnsubmul=function(t,e,r){var a,i,o=t.length+r;this._expand(o);var s=0;for(a=0;a<t.length;a++){i=(0|this.words[a+r])+s;var l=(0|t.words[a])*e;s=((i-=67108863&l)>>26)-(l/67108864|0),this.words[a+r]=67108863&i}for(;a<this.length-r;a++)s=(i=(0|this.words[a+r])+s)>>26,this.words[a+r]=67108863&i;if(0===s)return this.strip();for(n(-1===s),s=0,a=0;a<this.length;a++)s=(i=-(0|this.words[a])+s)>>26,this.words[a]=67108863&i;return this.negative=1,this.strip()},i.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),a=t,o=0|a.words[a.length-1];0!==(r=26-this._countBits(o))&&(a=a.ushln(r),n.iushln(r),o=0|a.words[a.length-1]);var s,l=n.length-a.length;if(\"mod\"!==e){(s=new i(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(a,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[a.length+h])+(0|n.words[a.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(a,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(a,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},i.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new i(0),mod:new i(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(a=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:a,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(a=s.div.neg()),{div:a,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new i(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new i(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new i(this.modn(t.words[0]))}:this._wordDiv(t,e);var a,o,s},i.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},i.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},i.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},i.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),a=t.andln(1),i=r.cmp(n);return i<0||1===a&&0===i?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,a=this.length-1;a>=0;a--)r=(e*r+(0|this.words[a]))%t;return r},i.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var a=(0|this.words[r])+67108864*e;this.words[r]=a/t|0,e=a%t}return this.strip()},i.prototype.divn=function(t){return this.clone().idivn(t)},i.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var a=new i(1),o=new i(0),s=new i(0),l=new i(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),h=e.clone();!e.isZero();){for(var f=0,p=1;0==(e.words[0]&p)&&f<26;++f,p<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(a.isOdd()||o.isOdd())&&(a.iadd(u),o.isub(h)),a.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),a.isub(s),o.isub(l)):(r.isub(e),s.isub(a),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},i.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var a,o=new i(1),s=new i(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var h=0,f=1;0==(r.words[0]&f)&&h<26;++h,f<<=1);if(h>0)for(r.iushrn(h);h-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(a=0===e.cmpn(1)?o:s).cmpn(0)<0&&a.iadd(t),a},i.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var a=e.cmp(r);if(a<0){var i=e;e=r,r=i}else if(0===a||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},i.prototype.invm=function(t){return this.egcd(t).a.umod(t)},i.prototype.isEven=function(){return 0==(1&this.words[0])},i.prototype.isOdd=function(){return 1==(1&this.words[0])},i.prototype.andln=function(t){return this.words[0]&t},i.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,a=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=a,this;for(var i=a,o=r;0!==i&&o<this.length;o++){var s=0|this.words[o];i=(s+=i)>>>26,s&=67108863,this.words[o]=s}return 0!==i&&(this.words[o]=i,this.length++),this},i.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},i.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var a=0|this.words[0];e=a===t?0:a<t?-1:1}return 0!==this.negative?0|-e:e},i.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},i.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],a=0|t.words[r];if(n!==a){n<a?e=-1:n>a&&(e=1);break}}return e},i.prototype.gtn=function(t){return 1===this.cmpn(t)},i.prototype.gt=function(t){return 1===this.cmp(t)},i.prototype.gten=function(t){return this.cmpn(t)>=0},i.prototype.gte=function(t){return this.cmp(t)>=0},i.prototype.ltn=function(t){return-1===this.cmpn(t)},i.prototype.lt=function(t){return-1===this.cmp(t)},i.prototype.lten=function(t){return this.cmpn(t)<=0},i.prototype.lte=function(t){return this.cmp(t)<=0},i.prototype.eqn=function(t){return 0===this.cmpn(t)},i.prototype.eq=function(t){return 0===this.cmp(t)},i.red=function(t){return new w(t)},i.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},i.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},i.prototype._forceRed=function(t){return this.red=t,this},i.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},i.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},i.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},i.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},i.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},i.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},i.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},i.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},i.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},i.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},i.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},i.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},i.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},i.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var v={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new i(e,16),this.n=this.p.bitLength(),this.k=new i(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function y(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function x(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function b(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function _(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function w(t){if(\"string\"==typeof t){var e=i._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){w.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new i(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new i(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):r.strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},a(y,m),y.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=4194303&a,n=10;n<t.length;n++){var i=0|t.words[n];t.words[n-10]=(4194303&i)<<4|a>>>22,a=i}a>>>=22,t.words[n-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},y.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},a(x,m),a(b,m),a(_,m),_.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,a=67108863&n;n>>>=26,t.words[r]=a,e=n}return 0!==e&&(t.words[t.length++]=e),t},i._prime=function(t){if(v[t])return v[t];var e;if(\"k256\"===t)e=new y;else if(\"p224\"===t)e=new x;else if(\"p192\"===t)e=new b;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new _}return v[t]=e,e},w.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},w.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},w.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},w.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},w.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},w.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},w.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},w.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},w.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},w.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},w.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},w.prototype.isqr=function(t){return this.imul(t,t.clone())},w.prototype.sqr=function(t){return this.mul(t,t)},w.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new i(1)).iushrn(2);return this.pow(t,r)}for(var a=this.m.subn(1),o=0;!a.isZero()&&0===a.andln(1);)o++,a.iushrn(1);n(!a.isZero());var s=new i(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new i(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var h=this.pow(u,a),f=this.pow(t,a.addn(1).iushrn(1)),p=this.pow(t,a),d=o;0!==p.cmp(s);){for(var g=p,v=0;0!==g.cmp(s);v++)g=g.redSqr();n(v<d);var m=this.pow(h,new i(1).iushln(d-v-1));f=f.redMul(m),h=m.redSqr(),p=p.redMul(h),d=v}return f},w.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},w.prototype.pow=function(t,e){if(e.isZero())return new i(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new i(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var a=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var h=c>>u&1;a!==r[0]&&(a=this.sqr(a)),0!==h||0!==o?(o<<=1,o|=h,(4===++s||0===n&&0===u)&&(a=this.mul(a,r[o]),s=0,o=0)):s=0}l=26}return a},w.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},w.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},i.mont=function(t){return new k(t)},a(k,w),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),a=r.isub(n).iushrn(this.shift),i=a;return a.cmp(this.m)>=0?i=a.isub(this.m):a.cmpn(0)<0&&(i=a.iadd(this.m)),i._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new i(0)._forceRed(this);var 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n,a=t(\"typedarray-pool\"),i=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var a=0,i=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[a++]=c[u];n[i++]=o}}return i}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var h,f=a.mallocDouble(2*u*s),p=a.mallocInt32(s);if((s=l(t,u,f,p))>0){if(1===u&&n)i.init(s),h=i.sweepComplete(u,r,0,s,f,p,0,s,f,p);else{var d=a.mallocDouble(2*u*c),g=a.mallocInt32(c);(c=l(e,u,d,g))>0&&(i.init(s+c),h=1===u?i.sweepBipartite(u,r,0,s,f,p,0,c,d,g):o(u,r,n,s,f,p,c,d,g),a.free(d),a.free(g))}a.free(f),a.free(p)}return h}}}function u(t,e){n.push([t,e])}},{\"./lib/intersect\":100,\"./lib/sweep\":104,\"typedarray-pool\":543}],99:[function(t,e,r){\"use strict\";var 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n=t(\"typedarray-pool\"),a=t(\"bit-twiddle\"),i=t(\"./brute\"),o=i.partial,s=i.full,l=t(\"./sweep\"),c=t(\"./median\"),u=t(\"./partition\"),h=128,f=1<<22,p=1<<22,d=u(\"!(lo>=p0)&&!(p1>=hi)\",[\"p0\",\"p1\"]),g=u(\"lo===p0\",[\"p0\"]),v=u(\"lo<p0\",[\"p0\"]),m=u(\"hi<=p0\",[\"p0\"]),y=u(\"lo<=p0&&p0<=hi\",[\"p0\"]),x=u(\"lo<p0&&p0<=hi\",[\"p0\"]),b=6,_=2,w=n.mallocInt32(1024),k=n.mallocDouble(1024);function T(t,e,r,n,a,i,o,s,l){var c=b*t;w[c]=e,w[c+1]=r,w[c+2]=n,w[c+3]=a,w[c+4]=i,w[c+5]=o;var u=_*t;k[u]=s,k[u+1]=l}function M(t,e,r,n,a,i,o,s,l,c,u){var h=2*t,f=l*h,p=c[f+e];t:for(var d=a,g=a*h;d<i;++d,g+=h){var v=o[g+e],m=o[g+e+t];if(!(p<v||m<p)&&(!n||p!==v)){for(var y,x=s[d],b=e+1;b<t;++b){v=o[g+b],m=o[g+b+t];var _=c[f+b],w=c[f+b+t];if(m<_||w<v)continue t}if(void 0!==(y=n?r(u,x):r(x,u)))return y}}}function A(t,e,r,n,a,i,o,s,l,c){var u=2*t,h=s*u,f=l[h+e];t:for(var p=n,d=n*u;p<a;++p,d+=u){var g=o[p];if(g!==c){var v=i[d+e],m=i[d+e+t];if(!(f<v||m<f)){for(var 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n=t(\"./partition\")(\"lo<p0\",[\"p0\"]),a=8;function i(t,e,r,n,a,i){for(var o=2*t,s=o*(r+1)+e,l=r+1;l<n;++l,s+=o)for(var c=a[s],u=l,h=o*(l-1);u>r&&a[h+e]>c;--u,h-=o){for(var f=h,p=h+o,d=0;d<o;++d,++f,++p){var g=a[f];a[f]=a[p],a[p]=g}var v=i[u];i[u]=i[u-1],i[u-1]=v}}},{\"./partition\":102}],102:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=\"abcdef\".split(\"\").concat(e),a=[];t.indexOf(\"lo\")>=0&&a.push(\"lo=e[k+n]\");t.indexOf(\"hi\")>=0&&a.push(\"hi=e[k+o]\");return r.push(n.replace(\"_\",a.join()).replace(\"$\",t)),Function.apply(void 0,r)};var n=\"for(var j=2*a,k=j*c,l=k,m=c,n=b,o=a+b,p=c;d>p;++p,k+=j){var _;if($)if(m===p)m+=1,l+=j;else{for(var s=0;j>s;++s){var t=e[k+s];e[k+s]=e[l],e[l++]=t}var u=f[p];f[p]=f[m],f[m++]=u}}return m\"},{}],103:[function(t,e,r){\"use strict\";e.exports=function(t,e){e<=4*n?a(0,e-1,t):function t(e,r,h){var 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c=(i=r.left=o(i)).right=o(i.right),r.left=c.right,i.right=c.left,c.right=r,c.left=i,c._color=r._color,r._color=a,i._color=a,e._color=a,l(r),l(i),l(c),u>1&&((h=t[u-2]).right===r?h.right=c:h.left=c),void(t[u-1]=c);if(i._color===a){if(r._color===n)return r._color=a,void(r.left=s(n,i));r.left=s(n,i);continue}var h;i=o(i),r.left=i.right,i.right=r,i._color=r._color,r._color=n,l(r),l(i),u>1&&((h=t[u-2]).right===r?h.right=i:h.left=i),t[u-1]=i,t[u]=r,u+1<t.length?t[u+1]=e:t.push(e),u+=2}}}(e),g.left===r?g.left=null:g.right=null,new c(this.tree._compare,e[0])},Object.defineProperty(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return 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t||(this.autoTicks=!0),h=!0,u=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort(function(t,e){return t.x-e.x});s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),i(\"tickSize\"),i(\"tickAngle\"),i(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),i(\"labelSize\"),i(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),i(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),i(\"lineTickLength\"),i(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),i(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),i(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=a(this.gl,this.bounds,this.ticks))};var p=[new f,new f,new f];function d(t,e,r,n,a){for(var i=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=i,f=s,p=o,d=l;c&1<<u&&(h=s,f=i,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],a[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],v={model:l,view:l,projection:l,_ortho:!1};h.isOpaque=function(){return!0},h.isTransparent=function(){return!1},h.drawTransparent=function(t){};var m=[0,0,0],y=[0,0,0],x=[0,0,0];h.draw=function(t){t=t||v;for(var e=this.gl,r=t.model||l,n=t.view||l,a=t.projection||l,i=this.bounds,s=t._ortho||!1,u=o(r,n,a,i,s),h=u.cubeEdges,f=u.axis,b=n[12],_=n[13],w=n[14],k=n[15],T=(s?2:1)*this.pixelRatio*(a[3]*b+a[7]*_+a[11]*w+a[15]*k)/e.drawingBufferHeight,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=h[M],this.lastCubeProps.axis[M]=f[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,h,f);e=this.gl;var S,E=g;for(M=0;M<3;++M)this.backgroundEnable[M]?E[M]=f[M]:E[M]=0;this._background.draw(r,n,a,i,E,this.backgroundColor),this._lines.bind(r,n,a,this);for(M=0;M<3;++M){var L=[0,0,0];f[M]>0?L[M]=i[1][M]:L[M]=i[0][M];for(var C=0;C<2;++C){var P=(M+1+C)%3,O=(M+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,O,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(M+1+C)%3,O=(M+1+(1^C))%3;this.zeroEnable[O]&&Math.min(i[0][O],i[1][O])<=0&&Math.max(i[0][O],i[1][O])>=0&&this._lines.drawZero(P,O,this.bounds,L,this.zeroLineColor[O],this.zeroLineWidth[O]*this.pixelRatio)}}for(M=0;M<3;++M){this.lineEnable[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].primalOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio),this.lineMirror[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].mirrorOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio);var z=c(m,A[M].primalMinor),I=c(y,A[M].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=T/r[5*C];z[C]*=D[C]*R,I[C]*=D[C]*R}this.lineTickEnable[M]&&this._lines.drawAxisTicks(M,A[M].primalOffset,z,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio),this.lineTickMirror[M]&&this._lines.drawAxisTicks(M,A[M].mirrorOffset,I,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,a,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,a=(t+2)%3,i=e[n],o=e[a],s=r[n],l=r[a];i>0&&l>0?N(n):i>0&&l<0?N(n):i<0&&l>0?N(n):i<0&&l<0?N(n):o>0&&s>0?N(a):o>0&&s<0?N(a):o<0&&s>0?N(a):o<0&&s<0&&N(a)}for(M=0;M<3;++M){var V=A[M].primalMinor,U=A[M].mirrorMinor,q=c(x,A[M].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[M]&&(q[C]+=T*V[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var H=[0,0,0];if(H[M]=1,this.tickEnable[M]){-3600===this.tickAngle[M]?(this.tickAngle[M]=0,this.tickAlign[M]=\"auto\"):this.tickAlign[M]=-1,F=1,\"auto\"===(S=[this.tickAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(M,V,U);for(C=0;C<3;++C)q[C]+=T*V[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],q,this.tickColor[M],H,B,S)}if(this.labelEnable[M]){F=0,B=[0,0,0],this.labels[M].length>4&&(N(M),F=1),\"auto\"===(S=[this.labelAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)q[C]+=T*V[C]*this.labelPad[C]/r[5*C];q[M]+=.5*(i[0][M]+i[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],q,this.labelColor[M],[0,0,0],B,S)}}this._text.unbind()},h.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":237,\"./lib/cube.js\":238,\"./lib/lines.js\":239,\"./lib/text.js\":241,\"./lib/ticks.js\":242}],237:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var g=-1;g<=1;g+=2)h[u]=g,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var v=c;c=u,u=v}var m=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=a(t,[{buffer:m,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:m,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=i(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,m,x,b)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,a,i){for(var o=!1,s=0;s<3;++s)o=o||a[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:a,colors:i},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":240,\"gl-buffer\":244,\"gl-vao\":329}],238:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,i,p){a(s,e,t),a(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=i[x][2];for(var b=0;b<2;++b){u[1]=i[b][1];for(var _=0;_<2;++_)u[0]=i[_][0],f(l[y],u,s),y+=1}}for(var w=-1,x=0;x<8;++x){for(var k=l[x][3],T=0;T<3;++T)c[x][T]=l[x][T]/k;p&&(c[x][2]*=-1),k<0&&(w<0?w=x:c[x][2]<c[w][2]&&(w=x))}if(w<0){w=0;for(var M=0;M<3;++M){for(var A=(M+2)%3,S=(M+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=C<<M,O=P+(C<<A)+(1-C<<S),z=P+(1-C<<A)+(C<<S);o(c[P],c[O],c[z],h)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<M);else{for(var C=0;C<2;++C){var P=C<<M,O=P+(C<<A)+(1-C<<S),z=P+(1-C<<A)+(C<<S),I=d([l[P],l[O],l[z],l[P+(1<<A)+(1<<S)]]);C?E=I:L=I}L>E&&(w|=1<<M)}}}for(var D=7^w,R=-1,x=0;x<8;++x)x!==w&&x!==D&&(R<0?R=x:c[R][1]>c[x][1]&&(R=x));for(var F=-1,x=0;x<3;++x){var B=R^1<<x;if(B!==w&&B!==D){F<0&&(F=B);var S=c[B];S[0]<c[F][0]&&(F=B)}}for(var N=-1,x=0;x<3;++x){var B=R^1<<x;if(B!==w&&B!==D&&B!==F){N<0&&(N=B);var S=c[B];S[0]>c[N][0]&&(N=B)}}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^N)]=R&N;var V=7^N;V===w||V===D?(V=7^F,j[n.log2(N^V)]=V&N):j[n.log2(F^V)]=V&F;for(var U=v,q=w,M=0;M<3;++M)U[M]=q&1<<M?-1:1;return m};var n=t(\"bit-twiddle\"),a=t(\"gl-mat4/multiply\"),i=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var a=0;a<3;++a)t[n]+=e[a]*r[4*a+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=i.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],a=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-a,h=l[0]/l[3]-n,f=l[1]/l[3]-a;o+=Math.abs(c*f-u*h)}return o}var g=[1,1,1],v=[0,0,0],m={cubeEdges:g,axis:v}},{\"bit-twiddle\":94,\"gl-mat4/multiply\":270,\"robust-orientation\":508,\"split-polygon\":525}],239:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var g=+r[h][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var v=o.length/3|0;s[h]=f,l[h]=v-f;for(var f=o.length/3|0,m=0;m<r[h].length;++m){var g=+r[h][m].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var v=o.length/3|0;c[h]=f,u[h]=v-f}var y=n(t,new Float32Array(o)),x=a(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=i(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,a,i,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=a,this.tickOffset=i,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,a){var i=h(s);this.shader.uniforms.majorAxis=s,i[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=i;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=n,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,a){if(this.tickCount[t]){var i=h(o);i[t]=1,this.shader.uniforms.majorAxis=i,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=a;var s=h(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,a,i){if(this.gridCount[t]){var u=h(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=f(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=h(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=h(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,a,i){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":240,\"gl-buffer\":244,\"gl-vao\":329}],240:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return a(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return a(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":304,glslify:410}],241:[function(t,e,r){(function(r){\"use strict\";e.exports=function(t,e,r,i,s,l){var u=n(t),h=a(t,[{buffer:u,size:3}]),f=o(t);f.attributes.position.location=0;var p=new c(t,f,u,h);return p.update(e,r,i,s,l),p};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,h=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var a=this.shader.uniforms;a.model=t,a.view=e,a.projection=r,a.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,a){var o=[];function s(t,e,r,n,a,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return i(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:a,styletags:s}));for(var h=(n||12)/12,f=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var v=p[d],m=2;m>=0;--m){var y=f[v[m]];o.push(h*y[0],-h*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],h=[0,0,0],f=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){h[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(o.length/3|0)-h[d],c[d]=o.length/3|0;for(var g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||a,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=h,this.labelCount=f},u.drawTicks=function(t,e,r,n,a,i,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,a,i,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(\"_process\"))},{\"./shaders\":240,_process:483,\"gl-buffer\":244,\"gl-vao\":329,\"vectorize-text\":548}],242:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),a=0;n>=0&&(a=r.length-n-1);var i=Math.pow(10,a),o=Math.round(t*e*i),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/i,c=o%i;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),a){for(var h=\"\"+c;h.length<a;)h=\"0\"+h;return u+\".\"+h}return u}r.create=function(t,e){for(var r=[],a=0;a<3;++a){for(var i=[],o=(t[0][a],t[1][a],0);o*e[a]<=t[1][a];++o)i.push({x:o*e[a],text:n(e[a],o)});for(var o=-1;o*e[a]>=t[0][a];--o)i.push({x:o*e[a],text:n(e[a],o)});r.push(i)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var a=t[r][n],i=e[r][n];if(a.x!==i.x||a.text!==i.text||a.font!==i.font||a.fontColor!==i.fontColor||a.fontSize!==i.fontSize||a.dx!==i.dx||a.dy!==i.dy)return!1}}return!0}},{}],243:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,h){var f=e.model||c,p=e.view||c,m=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(h=h||i(f,p,m,x,y)).axis;o(u,p,f),o(u,m,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var k=n(s(u,u));s(u,u);for(var T=0;T<3;++T){var M=(T+1)%3,A=(T+2)%3,S=v;t:for(var w=0;w<2;++w){var E=[];if(b[T]<0!=!!w){S[T]=x[w][T];for(var L=0;L<2;++L){S[M]=x[L^w][M];for(var C=0;C<2;++C)S[A]=x[C^L^w][A],E.push(S.slice())}for(var P=y?5:4,L=P;L===P;++L){if(0===E.length)continue t;E=a.positive(E,k[L])}for(var L=0;L<E.length;++L)for(var A=E[L],O=d(v,u,A,r,l),C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,A[C]),_[C].hi=Math.max(_[C].hi,A[C]),C!==T&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}return _};var n=t(\"extract-frustum-planes\"),a=t(\"split-polygon\"),i=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function h(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var f=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,a){for(var i=0;i<3;++i){for(var o=f,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[i]+=1,l(s,s,e),s[3]<0&&(t[i]=1/0),o[i]-=1,l(o,o,e),o[3]<0&&(t[i]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,h=(o[1]/o[3]-s[1]/s[3])*a;t[i]=.25*Math.sqrt(u*u+h*h)}return t}var g=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0)],v=[0,0,0]},{\"./lib/cube.js\":238,\"extract-frustum-planes\":227,\"gl-mat4/multiply\":270,\"gl-mat4/transpose\":279,\"gl-vec4/transformMat4\":400,\"split-polygon\":525}],244:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),a=t(\"ndarray-ops\"),i=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,a){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=a}var l=s.prototype;function c(t,e,r,n,a,i){var o=a.length*a.BYTES_PER_ELEMENT;if(i<0)return t.bufferData(e,a,n),o;if(o+i>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,i,a),r}function u(t,e){for(var r=n.malloc(t.length,e),a=t.length,i=0;i<a;++i)r[i]=t[i];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&\"undefined\"!=typeof t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=i(s,t.shape);a.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var a=t.createBuffer(),i=new s(t,r,a,0,n);return i.update(e),i}},{ndarray:451,\"ndarray-ops\":445,\"typedarray-pool\":543}],245:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,a=t.vectors,i={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),i;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,g=[],v=1/0,m=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),h=Math.min(x[2],h),f=Math.max(x[2],f);var b=a[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(v=Math.min(v,_),m=!1):m=!0}m||(p=x,d=b),g.push(b)}var w=[s,c,h],k=[l,u,f];e&&(e[0]=w,e[1]=k),0===o&&(o=1);var T=1/o;isFinite(v)||(v=1),i.vectorScale=v;var M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*T),i.coneScale=M;y=0;for(var A=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=g[y],P=n.length(C)*T,O=0;O<8;O++){i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vertexIntensity.push(P,P,P),i.vertexIntensity.push(P,P,P);var z=i.positions.length;i.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return i};var a=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:a,traceType:\"cone\"})}},{\"./create_mesh\":246,\"./lib/shaders\":247,\"gl-vec3\":348}],246:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,a,i,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=a,this.triangleVectors=i,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=h,this._view=h,this._projection=h,this._resolution=[1,1]}var p=f.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var a=e[n],i=0;i<3;++i)r[4*n+i]=a[i];r[4*n+3]=255*a[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,a=t.vectors;if(n&&r&&a){var i=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=a;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var v=0;v<p.length;++v){var m=p[v];d=Math.min(d,m),g=Math.max(g,m)}else for(v=0;v<n.length;++v){m=n[v][2];d=Math.min(d,m),g=Math.max(g,m)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(v=0;v<n.length;++v)for(var y=n[v],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(v=0;v<r.length;++v){var _=r[v];switch(_.length){case 3:for(x=0;x<3;++x){y=n[k=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var k;y=n[k=_[2-x]];i.push(y[0],y[1],y[2],y[3]);var T=a[k];o.push(T[0],T[1],T[2],T[3]||0);var M,A=f;3===A.length?s.push(A[0],A[1],A[2],1):s.push(A[0],A[1],A[2],A[3]),M=p?[(p[k]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(M[0],M[1]),h.push(v)}b+=1}}this.triangleCount=b,this.trianglePositions.update(i),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(h))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:a,inverseModel:h.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/f}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:a,clipBounds:i,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),a={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?a.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(a.intensity=this.intensity[r[1]],a.velocity=this.vectors[r[1]].slice(0,3),a.divergence=this.vectors[r[1]][3],a.index=e),a},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),u=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),h=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));h.generateMipmap(),h.minFilter=t.LINEAR_MIPMAP_LINEAR,h.magFilter=t.LINEAR;var p=a(t),d=a(t),g=a(t),v=a(t),m=a(t),y=new f(t,h,l,u,p,d,m,g,v,i(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:m,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return y.update(e),y}},{colormap:128,\"gl-buffer\":244,\"gl-mat4/invert\":268,\"gl-mat4/multiply\":270,\"gl-shader\":304,\"gl-texture2d\":324,\"gl-vao\":329,ndarray:451}],247:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:410}],248:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34000:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},{}],249:[function(t,e,r){var 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r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,a=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var i=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(a[3]*i+a[7]*s+a[11]*l+a[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]*this.pixelRatio),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var a=-1;a<=1;a+=2){var i=[0,0,0];i[(n+e)%3]=a,r.push(i)}t[e]=r}return t}();function h(t,e,r,n){for(var a=u[n],i=0;i<a.length;++i){var 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fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},{\"gl-shader\":304,glslify:410}],252:[function(t,e,r){\"use strict\";var n=t(\"gl-texture2d\");e.exports=function(t,e,r,n){a||(a=t.FRAMEBUFFER_UNSUPPORTED,i=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var a=new Array(r),i=0;i<n;++i)a[i]=t.COLOR_ATTACHMENT0+i;for(var i=n;i<r;++i)a[i]=t.NONE;l[n]=a}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if(\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var h=1;if(\"color\"in(n=n||{})){if((h=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(h>1){if(!c)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(h>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+h+\" draw buffers\")}}var f=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&h>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");f=t.FLOAT}else n.preferFloat&&h>0&&p&&(f=t.FLOAT);var g=!0;\"depth\"in n&&(g=!!n.depth);var v=!1;\"stencil\"in n&&(v=!!n.stencil);return new d(t,e,r,f,h,g,v,c)};var a,i,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function h(t){switch(t){case a:throw new Error(\"gl-fbo: Framebuffer unsupported\");case i:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function f(t,e,r,a,i,o){if(!a)return null;var s=n(t,e,r,i,a);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,a){var i=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,i),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,a,t.RENDERBUFFER,i),i}function d(t,e,r,n,a,i,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(a);for(var d=0;d<a;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=i,this._useStencil=o;var g=this,v=[0|e,0|r];Object.defineProperties(v,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=v,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),a=t._shape[0],i=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,v=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var m=0;m<o;++m)t.color[m]=f(r,a,i,v,r.RGBA,r.COLOR_ATTACHMENT0+m);0===o?(t._color_rb=p(r,a,i,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=f(r,a,i,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=f(r,a,i,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,a,i,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,a,i,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,a,i,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),m=0;m<t.color.length;++m)t.color[m].dispose(),t.color[m]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x)}u(r,e)}(this)}var g=d.prototype;function v(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,a=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var i=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,i),h(s)),u(n,i)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return v(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return v(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,v(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":324}],253:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),i=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=i(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),h=t.split(\"\\n\"),f={},p=0;p<h.length;p++){var d=h[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));f[g]=d}}for(var v=o(e).split(\"\\n\"),p=0;p<v.length;p++)if(f[p+3]||f[p+2]||f[p+1]){var m=v[p];if(c+=m+\"\\n\",f[p+1]){var y=f[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":64,\"gl-constants/lookup\":249,\"glsl-shader-name\":402,\"sprintf-js\":526}],254:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),a=o(r,l.pickVertex,l.pickFragment),i=s(r),u=s(r),h=s(r),f=s(r),p=new c(t,n,a,i,u,h,f);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),a=t(\"iota-array\"),i=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,a,i,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=a,this.colorBuffer=i,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,h=c.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var a=t.gl,i=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=i[2]-i[0],c=i[3]-i[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-i[0])/l-1,u[7]=2*(r[1]-i[1])/c-1,e.bind();var h=e.uniforms;h.viewTransform=u,h.shape=this.shape;var f=e.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,n)}}),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,a=this.pickShader,i=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=i[2]-i[0],u=i[3]-i[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(i[0]-l[0])/h-1,t[7]=2*(i[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,a.bind();var d=a.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=a.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,a=this.shape[0]*this.shape[1];if(r<n||r>=n+a)return null;var i=r-n,o=this.xData,s=this.yData;return{object:this,pointId:i,dataCoord:[o[i%this.shape[0]],s[i/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||a(e[0]),o=t.y||a(e[1]),s=t.z||new Float32Array(e[0]*e[1]);this.xData=r,this.yData=o;var l=t.colorLevels||[0],c=t.colorValues||[0,0,0,1],u=l.length,h=this.bounds,p=h[0]=r[0],d=h[1]=o[0],g=1/((h[2]=r[r.length-1])-p),v=1/((h[3]=o[o.length-1])-d),m=e[0],y=e[1];this.shape=[m,y];var x=(m-1)*(y-1)*(f.length>>>1);this.numVertices=x;for(var b=i.mallocUint8(4*x),_=i.mallocFloat32(2*x),w=i.mallocUint8(2*x),k=i.mallocUint32(x),T=0,M=0;M<y-1;++M)for(var A=v*(o[M]-d),S=v*(o[M+1]-d),E=0;E<m-1;++E)for(var L=g*(r[E]-p),C=g*(r[E+1]-p),P=0;P<f.length;P+=2){var O,z,I,D,R=f[P],F=f[P+1],B=s[(M+F)*m+(E+R)],N=n.le(l,B);if(N<0)O=c[0],z=c[1],I=c[2],D=c[3];else if(N===u-1)O=c[4*u-4],z=c[4*u-3],I=c[4*u-2],D=c[4*u-1];else{var j=(B-l[N])/(l[N+1]-l[N]),V=1-j,U=4*N,q=4*(N+1);O=V*c[U]+j*c[q],z=V*c[U+1]+j*c[q+1],I=V*c[U+2]+j*c[q+2],D=V*c[U+3]+j*c[q+3]}b[4*T]=255*O,b[4*T+1]=255*z,b[4*T+2]=255*I,b[4*T+3]=255*D,_[2*T]=.5*L+.5*C,_[2*T+1]=.5*A+.5*S,w[2*T]=R,w[2*T+1]=F,k[T]=M*m+E,T+=1}this.positionBuffer.update(_),this.weightBuffer.update(w),this.colorBuffer.update(b),this.idBuffer.update(k),i.free(_),i.free(b),i.free(w),i.free(k)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":255,\"binary-search-bounds\":256,\"gl-buffer\":244,\"gl-shader\":304,\"iota-array\":417,\"typedarray-pool\":543}],255:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:410}],256:[function(t,e,r){arguments[4][113][0].apply(r,arguments)},{dup:113}],257:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return a(t,i,o,null,l)},r.createPickShader=function(t){return a(t,i,s,null,l)}},{\"gl-shader\":304,glslify:410}],258:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=h(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=f(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=a(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=i(e,u);d.wrap=e.REPEAT;var g=new m(e,r,o,s,l,d);return g.update(t),g};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),h=u.createShader,f=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var a=t[n]-e[n];r+=a*a}return Math.sqrt(r)}function g(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function v(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function m(t,e,r,n,a,i){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=a,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=i,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=m.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:g(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:g(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var 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t[0]=x*n+b*s+_*h+w*g,t[1]=x*a+b*l+_*f+w*v,t[2]=x*i+b*c+_*p+w*m,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*h+w*g,t[5]=x*a+b*l+_*f+w*v,t[6]=x*i+b*c+_*p+w*m,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*h+w*g,t[9]=x*a+b*l+_*f+w*v,t[10]=x*i+b*c+_*p+w*m,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*h+w*g,t[13]=x*a+b*l+_*f+w*v,t[14]=x*i+b*c+_*p+w*m,t[15]=x*o+b*u+_*d+w*y,t}},{}],271:[function(t,e,r){e.exports=function(t,e,r,n,a,i,o){var s=1/(e-r),l=1/(n-a),c=1/(i-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(a+n)*l,t[14]=(o+i)*c,t[15]=1,t}},{}],272:[function(t,e,r){e.exports=function(t,e,r,n,a){var i=1/Math.tan(e/2),o=1/(n-a);return t[0]=i/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=i,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(a+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*a*n*o,t[15]=0,t}},{}],273:[function(t,e,r){e.exports=function(t,e,r,n){var 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t[4]=i*a+c*n,t[5]=o*a+u*n,t[6]=s*a+h*n,t[7]=l*a+f*n,t[8]=c*a-i*n,t[9]=u*a-o*n,t[10]=h*a-s*n,t[11]=f*a-l*n,t}},{}],275:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a-c*n,t[1]=o*a-u*n,t[2]=s*a-h*n,t[3]=l*a-f*n,t[8]=i*n+c*a,t[9]=o*n+u*a,t[10]=s*n+h*a,t[11]=l*n+f*a,t}},{}],276:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],h=e[6],f=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a+c*n,t[1]=o*a+u*n,t[2]=s*a+h*n,t[3]=l*a+f*n,t[4]=c*a-i*n,t[5]=u*a-o*n,t[6]=h*a-s*n,t[7]=f*a-l*n,t}},{}],277:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],a=r[1],i=r[2];return 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t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],280:[function(t,e,r){\"use strict\";e.exports=function(t,e){switch(e.length){case 0:break;case 1:t[0]=1/e[0];break;case 4:n(t,e);break;case 9:a(t,e);break;case 16:i(t,e);break;default:throw new Error(\"currently supports matrices up to 4x4\")}return t};var n=t(\"gl-mat2/invert\"),a=t(\"gl-mat3/invert\"),i=t(\"gl-mat4/invert\")},{\"gl-mat2/invert\":260,\"gl-mat3/invert\":261,\"gl-mat4/invert\":268}],281:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),a=t(\"polytope-closest-point/lib/closest_point_2d.js\");function i(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var a=0;a<4;++a)r[a]+=t[4*n+a]*e[n];return r}function o(t,e,r,n,a){for(var o=i(n,i(r,i(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*a[0]*(1+o[0]),.5*a[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var a=t[n],i=e[n],o=0;o<3;++o)r[o]+=i*a[o];return r}e.exports=function(t,e,r,i,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),h=0;h<t.length;++h)u[h]=o(t[h],r,i,l,c);for(var f=0,p=1/0,h=0;h<u.length;++h){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[h][g]-e[g],2);d<p&&(p=d,f=h)}for(var v=function(t,e){if(2===t.length){for(var r=0,i=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),i+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),i=Math.sqrt(i),r+i<1e-6?[1,0]:[i/(r+i),r/(i+r)]}if(3===t.length){var s=[0,0];return a(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),m=0,h=0;h<3;++h){if(v[h]<-.001||v[h]>1.0001)return null;m+=v[h]}if(Math.abs(m-1)>.001)return null;return[f,s(t,v),v]}},{barycentric:75,\"polytope-closest-point/lib/closest_point_2d.js\":482}],282:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:f,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:410}],283:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),h=t(\"colormap\"),f=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),v=d.meshShader,m=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function k(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x,b,_,k,T,M,A,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=a,this.pickShader=i,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=v,this.edgeUVs=m,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=k,this.pointSizes=T,this.pointIds=b,this.pointVAO=M,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var T=k.prototype;function M(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function A(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}T.isOpaque=function(){return!this.hasAlpha},T.isTransparent=function(){return this.hasAlpha},T.pickSlots=1,T.setPickBase=function(t){this.pickId=t},T.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,a=e.vertexWeights,i=r.length,o=p.mallocFloat32(6*i),s=0,l=0;l<i;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],g=n[h][1],v=a[h],m=1-v,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=v*y[b]+m*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},T.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=h({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),a=0;a<256;++a){for(var i=r[a],o=0;o<3;++o)n[4*a+o]=i[o];n[4*a+3]=e?255*M(a/255,e):255*i[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var a=[],i=[],l=[],c=[],f=[],p=[],d=[],g=[],v=[],m=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,k=t.cellNormals,T=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,A=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!k&&(k=s.faceNormals(r,n,A)),k||w||(w=s.vertexNormals(r,n,T));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,z=t.cellIntensity,I=1/0,D=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)I=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];I=Math.min(I,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)I=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R){F=z[R];I=Math.min(I,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];I=Math.min(I,F),D=Math.max(D,F)}this.intensity=P||(z||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(z||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],V=0;V<3;++V)!isNaN(j[V])&&isFinite(j[V])&&(this.bounds[0][V]=Math.min(this.bounds[0][V],j[V]),this.bounds[1][V]=Math.max(this.bounds[1][V],j[V]));var U=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],V=0;V<3;++V)if(isNaN(j[V])||!isFinite(j[V]))continue t;m.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?i.push(X[0],X[1],X[2],this.opacity*M((P[W]-I)/(D-I),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(V=0;V<2;++V){j=n[W=G[V]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(V=0;V<2;++V){j=n[W=G[V]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?i.push(X[0],X[1],X[2],this.opacity*M((P[W]-I)/(D-I),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],g.push(Z[0],Z[1]),v.push(R)}q+=1;break;case 3:for(V=0;V<3;++V)for(j=n[W=G[V]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(V=0;V<3;++V){var W,X,Z,J;j=n[W=G[2-V]];a.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?i.push(X[0],X[1],X[2],this.opacity*M((P[W]-I)/(D-I),this.opacityscale)):3===X.length?i.push(X[0],X[1],X[2],this.opacity):(i.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):i.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],c.push(Z[0],Z[1]),J=w?w[W]:k[R],l.push(J[0],J[1],J[2]),f.push(R)}U+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=U,this.pointPositions.update(m),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(v)),this.trianglePositions.update(a),this.triangleColors.update(i),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f))}},T.drawTransparent=T.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:a,inverseModel:w.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},T.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:a,clipBounds:i,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},T.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,a=new Array(r.length),i=0;i<r.length;++i)a[i]=n[r[i]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],h=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:h}}var f=g(a,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!f)return null;var p=f[2],d=0;for(i=0;i<r.length;++i)d+=p[i]*this.intensity[r[i]];return{position:f[1],index:r[f[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[f[0]]]}},T.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=A(t),c=S(t),h=E(t),f=L(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=a(t),g=a(t),y=a(t),x=a(t),b=a(t),_=i(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:y,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=a(t),T=a(t),M=a(t),C=a(t),P=i(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:T,type:t.FLOAT,size:4},{buffer:M,type:t.FLOAT,size:2}]),O=a(t),z=a(t),I=a(t),D=a(t),R=a(t),F=i(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:I,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=a(t),N=new k(t,p,r,s,l,c,h,f,d,b,g,y,x,_,w,C,T,M,P,O,R,z,I,D,F,B,i(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},{\"./lib/closest-point\":281,\"./lib/shaders\":282,colormap:128,\"gl-buffer\":244,\"gl-mat4/invert\":268,\"gl-mat4/multiply\":270,\"gl-shader\":304,\"gl-texture2d\":324,\"gl-vao\":329,ndarray:451,normals:454,\"simplicial-complex-contour\":516,\"typedarray-pool\":543}],284:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=a(e,i.boxVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,a){var i=this.plot,o=this.shader,c=i.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":287,\"gl-buffer\":244,\"gl-shader\":304}],285:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,o.gridVert,o.gridFrag),l=a(e,o.tickVert,o.gridFrag);return new s(t,r,i,l)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,a=t.gl,i=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var v=i[g],m=i[g+2]-v,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*m/x,c[g]=2*(v-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){h[0]=h[1]=0,h[g]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=f[g];var _=6*n[g].length;p[g]&&_&&a.drawArrays(a.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,v=s.pixelRatio,m=s.screenBox,y=m[2]-m[0],x=m[3]-m[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var k=p[w],T=p[w+2]-k,M=.5*(d[w+2]+d[w]),A=d[w+2]-d[w];e[w]=2*T/A,t[w]=2*(k-M)/A}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*h[0].length,O=Math.min(i.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(i.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),I=0+6*O,D=6*Math.max(0,z-O),R=Math.min(i.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(i.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=P+6*R,N=6*Math.max(0,F-R);a[0]=2*(g[0]-E[1])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[1]*v/y,o[1]=L[1]*v/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[1]-E[0])/x-1,o[0]=L[0]*v/y,o[1]=E[0]*v/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,I,D)),a[0]=2*(g[2]+E[3])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[3]*v/y,o[1]=L[3]*v/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[3]+E[2])/x-1,o[0]=L[2]*v/y,o[1]=E[2]*v/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,I,D))}}(),d.update=(f=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),a=(this.plot.zeroLineEnable,0),i=[[],[]],o=0;o<2;++o)for(var s=i[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[a++]=d,n[a++]=f[g],n[a++]=p[g]}this.ticks=i,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":287,\"binary-search-bounds\":289,\"gl-buffer\":244,\"gl-shader\":304}],286:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=a(e,i.lineVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,a,i){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=a*o.pixelRatio,c.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":287,\"gl-buffer\":244,\"gl-shader\":304}],287:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:a,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:a,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:a,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:410}],288:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,s.textVert,s.textFrag);return new l(t,r,i)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,h,f,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],a=this.tickOffset[t],i=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,v=e.tickColor,m=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],k=this.labelCount[t],T=o.lt(n,l[t]),M=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var A=2/f[2+(1^t)]-f[1^t];u[1^t]=A*s[1^t]-1,d[t]&&(u[1^t]-=A*p*g[t],T<M&&a[M]>a[T]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=v[t],r.uniforms.angle=m[t],i.drawArrays(i.TRIANGLES,a[T],a[M]-a[T]))),y[t]&&k&&(u[1^t]-=A*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],i.drawArrays(i.TRIANGLES,w,k)),u[1^t]=A*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=A*p*g[t+2],T<M&&a[M]>a[T]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=v[t+2],r.uniforms.angle=m[t+2],i.drawArrays(i.TRIANGLES,a[T],a[M]-a[T]))),y[t+2]&&k&&(u[1^t]+=A*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],i.drawArrays(i.TRIANGLES,w,k))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,a=r.gl,i=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-i[u])/(i[2+u]-i[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,a.drawArrays(a.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,a=t.screenBox,i=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=i[o],g=i[o+2]-h,v=a[o],m=a[o+2]-v;p[o]=2*l/u*g/m,f[o]=2*(s-c)/u*g/m}d[1]=2*t.pixelRatio/(a[3]-a[1]),d[0]=d[1]*(a[3]-a[1])/(a[2]-a[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,a,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[e],d=p.x,g=p.text,v=p.font||\"sans-serif\";a=p.fontSize||12;for(var m=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=i(v,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*a,-n[r+1]*a-b*a*1.2,(d-y)*m);u.push(Math.floor(s.length/3)),h.push(d)}this.tickOffset[o]=u,this.tickX[o]=h}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=i(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,a=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=i(t.titleFont,t.title).data,a=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":287,\"binary-search-bounds\":289,\"gl-buffer\":244,\"gl-shader\":304,\"text-cache\":534}],289:[function(t,e,r){arguments[4][113][0].apply(r,arguments)},{dup:113}],290:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=a(c),c.text=i(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),a=t(\"./lib/grid\"),i=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,a=this.pixelRatio,i=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),i.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,p=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var d=0;d<2;++d)if(h[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],f[d]):o.drawLine(e[0],g,e[2],g,p[d],f[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var v=this.borderLineEnable,m=this.borderLineWidth,y=this.borderLineColor;for(v[1]&&o.drawLine(r[0],r[1]-.5*m[1]*a,r[0],r[3]+.5*m[3]*a,m[1],y[1]),v[0]&&o.drawLine(r[0]-.5*m[0]*a,r[1],r[2]+.5*m[2]*a,r[1],m[0],y[0]),v[3]&&o.drawLine(r[2],r[1]-.5*m[1]*a,r[2],r[3]+.5*m[3]*a,m[3],y[3]),v[2]&&o.drawLine(r[0]-.5*m[0]*a,r[3],r[2]+.5*m[2]*a,r[3],m[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,a=this.viewBox,i=0|Math.round((t-a[0]/r)*n),o=0|Math.round((e-a[1]/r)*n),s=this.pickBuffer.query(i,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(i,o,l);if(h)return h}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,a=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/a,10,10/a]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t&&!t.titleEnable),this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var i=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=i[s].slice(0);0!==l.length&&(l.sort(h),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:i}),this.text.update({bounds:o,ticks:i,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":284,\"./lib/grid\":285,\"./lib/line\":286,\"./lib/text\":288,\"gl-select-static\":303}],291:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,a=e-2*r;c.idle(e-r),c.recalcMatrix(a),c.flush(e-(100+2*r));for(var i=!0,o=c.computedMatrix,s=0;s<16;++s)i=i&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,i?!l:(h=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),a=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var i=n();c._active.lookAt(i,r,a,e),c._active.lookAt(i+500,r,a,[0,0,1]),c._active.flush(i)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",function(t){return t.preventDefault(),!1}),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,a,i){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,f=!!i.control,p=!!i.alt,g=!!i.shift,v=!!(1&e),m=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(a-d._lastY),w=d.flipX?1:-1,k=d.flipY?1:-1,T=Math.PI*d.rotateSpeed,M=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&v&&!f&&!p&&!g||v&&!f&&!p&&g)&&c.rotate(M,w*T*b,-k*T*_,0),(l&&v&&!f&&!p&&!g||m||v&&f&&!p&&!g)&&c.pan(M,-d.translateSpeed*b*h,d.translateSpeed*_*h,0),u&&v&&!f&&!p&&!g||y||v&&!f&&p&&!g)){var A=-d.zoomSpeed*_/window.innerHeight*(M-c.lastT())*100;c.pan(M,0,0,h*(Math.exp(A)-1))}return d._lastX=r,d._lastY=a,d._lastMods=i,!0}}d.mouseListener=i(t,e),t.addEventListener(\"touchstart\",function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods),r.preventDefault()},!!l&&{passive:!1}),t.addEventListener(\"touchmove\",function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()},!!l&&{passive:!1}),t.addEventListener(\"touchend\",function(t){e(0,d._lastX,d._lastY,d._lastMods),t.preventDefault()},!!l&&{passive:!1}),d.wheelListener=o(t,function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,a=d.flipY?1:-1,i=n();if(Math.abs(t)>Math.abs(e))c.rotate(i,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*a*e/window.innerHeight*(i-c.lastT())/20;c.pan(i,0,0,h*(Math.exp(o)-1))}}},!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),a=t(\"3d-view\"),i=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":54,\"has-passive-events\":412,\"mouse-change\":436,\"mouse-event-offset\":437,\"mouse-wheel\":439,\"right-now\":502}],292:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":304,glslify:410}],293:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),a=t(\"gl-axes3d\"),i=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),h=t(\"gl-mat4/perspective\"),f=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function v(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function m(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e)if(e=document.createElement(\"canvas\"),t.container){var r=t.container;r.appendChild(e)}else document.body.appendChild(e);var y=t.gl;y||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),y=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!y)throw new Error(\"webgl not supported\");var x=t.bounds||[[-10,-10,-10],[10,10,10]],b=new g,_=l(y,y.drawingBufferWidth,y.drawingBufferHeight,{preferFloat:!d}),w=p(y),k=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:k},M=t.axes||{},A=a(y,M);A.enable=!M.disable;var S=t.spikes||{},E=o(y,S),L=[],C=[],P=[],O=[],z=!0,I=!0,D=new Array(16),R=new Array(16),F={view:null,projection:D,model:R,_ortho:!1},I=!0,B=[y.drawingBufferWidth,y.drawingBufferHeight],N=t.cameraObject||n(e,T),j={gl:y,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:b,camera:N,axes:A,axesPixels:null,spikes:E,bounds:x,objects:L,shape:B,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:m(t.autoResize),autoBounds:m(t.autoBounds),autoScale:!!t.autoScale,autoCenter:m(t.autoCenter),clipToBounds:m(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:F,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},V=[y.drawingBufferWidth/j.pixelRatio|0,y.drawingBufferHeight/j.pixelRatio|0];function U(){if(!j._stopped&&j.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var a=0|Math.ceil(r*j.pixelRatio),i=0|Math.ceil(n*j.pixelRatio);if(a!==e.width||i!==e.height){e.width=a,e.height=i;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",z=!0}}}j.autoResize&&U();function q(){for(var t=L.length,e=O.length,r=0;r<e;++r)P[r]=0;t:for(var r=0;r<t;++r){var n=L[r],a=n.pickSlots;if(a){for(var i=0;i<e;++i)if(P[i]+a<255){C[r]=i,n.setPickBase(P[i]+1),P[i]+=a;continue t}var o=s(y,B);C[r]=e,O.push(o),P.push(a),n.setPickBase(1),e+=1}else C[r]=-1}for(;e>0&&0===P[e-1];)P.pop(),O.pop().dispose()}function H(){if(j.contextLost)return!0;y.isContextLost()&&(j.contextLost=!0,j.mouseListener.enabled=!1,j.selection.object=null,j.oncontextloss&&j.oncontextloss())}window.addEventListener(\"resize\",U),j.update=function(t){j._stopped||(t=t||{},z=!0,I=!0)},j.add=function(t){j._stopped||(t.axes=A,L.push(t),C.push(-1),z=!0,I=!0,q())},j.remove=function(t){if(!j._stopped){var e=L.indexOf(t);e<0||(L.splice(e,1),C.pop(),z=!0,I=!0,q())}},j.dispose=function(){if(!j._stopped&&(j._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),j.mouseListener.enabled=!1,!j.contextLost)){A.dispose(),E.dispose();for(var t=0;t<L.length;++t)L[t].dispose();_.dispose();for(var t=0;t<O.length;++t)O[t].dispose();w.dispose(),y=null,A=null,E=null,L=[]}},j._mouseRotating=!1,j._prevButtons=0,j.enableMouseListeners=function(){j.mouseListener=u(e,function(t,e,r){if(!j._stopped){var n=O.length,a=L.length,i=b.object;b.distance=1/0,b.mouse[0]=e,b.mouse[1]=r,b.object=null,b.screen=null,b.dataCoordinate=b.dataPosition=null;var o=!1;if(t&&j._prevButtons)j._mouseRotating=!0;else{j._mouseRotating&&(I=!0),j._mouseRotating=!1;for(var s=0;s<n;++s){var l=O[s].query(e,V[1]-r-1,j.pickRadius);if(l){if(l.distance>b.distance)continue;for(var c=0;c<a;++c){var u=L[c];if(C[c]===s){var h=u.pick(l);h&&(b.buttons=t,b.screen=l.coord,b.distance=l.distance,b.object=u,b.index=h.distance,b.dataPosition=h.position,b.dataCoordinate=h.dataCoordinate,b.data=h,o=!0)}}}}}i&&i!==b.object&&(i.highlight&&i.highlight(null),z=!0),b.object&&(b.object.highlight&&b.object.highlight(b.data),z=!0),(o=o||b.object!==i)&&j.onselect&&j.onselect(b),1&t&&!(1&j._prevButtons)&&j.onclick&&j.onclick(b),j._prevButtons=t}})},e.addEventListener(\"webglcontextlost\",H);var G=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],Y=[G[0].slice(),G[1].slice()];function W(){if(!H()){U();var t=j.camera.tick();F.view=j.camera.matrix,z=z||t,I=I||t,A.pixelRatio=j.pixelRatio,E.pixelRatio=j.pixelRatio;var e=L.length,r=G[0],n=G[1];r[0]=r[1]=r[2]=1/0,n[0]=n[1]=n[2]=-1/0;for(var a=0;a<e;++a){var o=L[a];o.pixelRatio=j.pixelRatio,o.axes=j.axes,z=z||!!o.dirty,I=I||!!o.dirty;var s=o.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)r[p]=Math.min(r[p],l[p]),n[p]=Math.max(n[p],u[p])}var d=j.bounds;if(j.autoBounds)for(var p=0;p<3;++p){if(n[p]<r[p])r[p]=-1,n[p]=1;else{r[p]===n[p]&&(r[p]-=1,n[p]+=1);var g=.05*(n[p]-r[p]);r[p]=r[p]-g,n[p]=n[p]+g}d[0][p]=r[p],d[1][p]=n[p]}for(var m=!1,p=0;p<3;++p)m=m||Y[0][p]!==d[0][p]||Y[1][p]!==d[1][p],Y[0][p]=d[0][p],Y[1][p]=d[1][p];if(I=I||m,z=z||m){if(m){for(var x=[0,0,0],a=0;a<3;++a)x[a]=v((d[1][a]-d[0][a])/10);A.autoTicks?A.update({bounds:d,tickSpacing:x}):A.update({bounds:d})}var T=y.drawingBufferWidth,M=y.drawingBufferHeight;B[0]=T,B[1]=M,V[0]=0|Math.max(T/j.pixelRatio,1),V[1]=0|Math.max(M/j.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,a=n.projection,i=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(f(a,-p,p,-1,1,l,c),n._ortho=!0):(h(a,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)i[d]=0;i[15]=1;for(var g=0,d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(var d=0;d<3;++d)t.autoScale?i[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):i[5*d]=1/g,t.autoCenter&&(i[12+d]=.5*-i[5*d]*(r[0][d]+r[1][d]))}(j,k);for(var a=0;a<e;++a){var o=L[a];o.axesBounds=d,j.clipToBounds&&(o.clipBounds=d)}b.object&&(j.snapToData?E.position=b.dataCoordinate:E.position=b.dataPosition,E.bounds=d),I&&(I=!1,function(){if(H())return;y.colorMask(!0,!0,!0,!0),y.depthMask(!0),y.disable(y.BLEND),y.enable(y.DEPTH_TEST),y.depthFunc(y.LEQUAL);for(var t=L.length,e=O.length,r=0;r<e;++r){var n=O[r];n.shape=V,n.begin();for(var a=0;a<t;++a)if(C[a]===r){var i=L[a];i.drawPick&&(i.pixelRatio=1,i.drawPick(F))}n.end()}}()),j.axesPixels=i(j.axes,F,T,M),j.onrender&&j.onrender(),y.bindFramebuffer(y.FRAMEBUFFER,null),y.viewport(0,0,T,M),j.clearRGBA(),y.depthMask(!0),y.colorMask(!0,!0,!0,!0),y.enable(y.DEPTH_TEST),y.depthFunc(y.LEQUAL),y.disable(y.BLEND),y.disable(y.CULL_FACE);var S=!1;A.enable&&(S=S||A.isTransparent(),A.draw(F)),E.axes=A,b.object&&E.draw(F),y.disable(y.CULL_FACE);for(var a=0;a<e;++a){var o=L[a];o.axes=A,o.pixelRatio=j.pixelRatio,o.isOpaque&&o.isOpaque()&&o.draw(F),o.isTransparent&&o.isTransparent()&&(S=!0)}if(S){_.shape=B,_.bind(),y.clear(y.DEPTH_BUFFER_BIT),y.colorMask(!1,!1,!1,!1),y.depthMask(!0),y.depthFunc(y.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(F);for(var a=0;a<e;++a){var o=L[a];o.isOpaque&&o.isOpaque()&&o.draw(F)}y.enable(y.BLEND),y.blendEquation(y.FUNC_ADD),y.blendFunc(y.ONE,y.ONE_MINUS_SRC_ALPHA),y.colorMask(!0,!0,!0,!0),y.depthMask(!1),y.clearColor(0,0,0,0),y.clear(y.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(F);for(var a=0;a<e;++a){var o=L[a];o.isTransparent&&o.isTransparent()&&o.drawTransparent(F)}y.bindFramebuffer(y.FRAMEBUFFER,null),y.blendFunc(y.ONE,y.ONE_MINUS_SRC_ALPHA),y.disable(y.DEPTH_TEST),w.bind(),_.color[0].bind(0),w.uniforms.accumBuffer=0,c(y),y.disable(y.BLEND)}z=!1;for(var a=0;a<e;++a)L[a].dirty=!1}}}return j.enableMouseListeners(),function t(){j._stopped||j.contextLost||(W(),requestAnimationFrame(t))}(),j.redraw=function(){j._stopped||(z=!0,W())},j},createCamera:n}},{\"./camera.js\":291,\"./lib/shader\":292,\"a-big-triangle\":62,\"gl-axes3d\":236,\"gl-axes3d/properties\":243,\"gl-fbo\":252,\"gl-mat4/ortho\":271,\"gl-mat4/perspective\":272,\"gl-select-static\":303,\"gl-spikes3d\":313,\"is-mobile\":421,\"mouse-change\":436}],294:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:410}],295:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,a){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=a,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,i=a(r),l=a(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),h=new s(t,i,l,c,u);return h.update(e),t.addObject(h),h};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,a=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=a?s:i.mallocFloat32(s.length),c=o?t.idToIndex:i.mallocInt32(n);if(a||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),a||i.free(l),o||i.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,a=this.plot.dataBox;if(0===this.pointCount)return t;var i=a[2]-a[0],o=a[3]-a[1],s=function(t,e){var r,n=0,a=t.length>>>1;for(r=0;r<a;r++){var i=t[2*r],o=t[2*r+1];i>=e[0]&&i<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,a),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/i,l[4]=2/o,l[6]=-2*a[0]/i-1,l[7]=-2*a[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,a=this.pointCount;if(r<n||r>=n+a)return null;var i=r-n,o=this.points;return{object:this,pointId:i,dataCoord:[o[2*i],o[2*i+1]]}}},{\"./lib/shader\":294,\"gl-buffer\":244,\"gl-shader\":304,\"typedarray-pool\":543}],296:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],g=r[2],v=r[3];(i=c*p+u*d+h*g+f*v)<0&&(i=-i,p=-p,d=-d,g=-g,v=-v);1-i>1e-6?(a=Math.acos(i),o=Math.sin(a),s=Math.sin((1-n)*a)/o,l=Math.sin(n*a)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*g,t[3]=s*f+l*v,t}},{}],297:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],298:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var i=a[e];i||(i=a[e]={});if(t in i)return i[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],f=u.positions.length;for(l=0;l<f;++l){var p=u.positions[l];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],p[c]),h[1][c]=Math.max(h[1][c],p[c])}return i[t]=[s,u,h]};var a={}},{\"vectorize-text\":548}],299:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:i,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:i,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},v={vertex:s,fragment:c,attributes:u};function m(t,e){var r=n(t,e),a=r.attributes;return a.position.location=0,a.color.location=1,a.glyph.location=2,a.id.location=3,r}r.createPerspective=function(t){return m(t,h)},r.createOrtho=function(t){return m(t,f)},r.createProject=function(t){return m(t,p)},r.createPickPerspective=function(t){return m(t,d)},r.createPickOrtho=function(t){return m(t,g)},r.createPickProject=function(t){return m(t,v)}},{\"gl-shader\":304,glslify:410}],300:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e){var r=t[0],n=t[1],a=t[2],i=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*a+e[12]*i,t[1]=e[1]*r+e[5]*n+e[9]*a+e[13]*i,t[2]=e[2]*r+e[6]*n+e[10]*a+e[14]*i,t[3]=e[3]*r+e[7]*n+e[11]*a+e[15]*i,t}function p(t,e,r,n){return f(n,n),f(n,n),f(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t?1:t>1?1:t}function v(t,e,r,n,a,i,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=a,this.colorBuffer=i,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=h,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),h=a(e),f=a(e),p=a(e),d=a(e),g=i(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),m=new v(e,r,n,o,h,f,p,d,g,s,c,u);return m.update(t),m};var m=v.prototype;m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},m.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],k=h.slice(),T=[0,0,0],M=[[0,0,0],[0,0,0]];function A(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var a,i=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||h,u=r.view||h,f=r.projection||h,d=e.axesBounds,g=function(t){for(var e=M,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);a=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var v=0;v<3;++v)if(i[v]){l.scale=e.projectScale[v],l.opacity=e.projectOpacity[v];for(var m=k,L=0;L<16;++L)m[L]=0;for(L=0;L<4;++L)m[5*L]=1;m[5*v]=0,a[v]<0?m[12+v]=d[0][v]:m[12+v]=d[1][v],s(m,c,m),l.model=m;var C=(v+1)%3,P=(v+2)%3,O=A(x),z=A(b);O[C]=1,z[P]=1;var I=p(0,0,0,S(_,O)),D=p(0,0,0,S(w,z));if(Math.abs(I[1])>Math.abs(D[1])){var R=I;I=D,D=R,R=O,O=z,z=R;var F=C;C=P,P=F}I[0]<0&&(O[C]=-1),D[1]>0&&(z[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);O[C]/=Math.sqrt(B),z[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=z,l.fragClipBounds[0]=E(T,g[0],v,-1e8),l.fragClipBounds[1]=E(T,g[1],v,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,a,i,o){var s=r.gl;if((i===r.projectHasAlpha||o)&&L(e,r,n,a),i===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||h,l.view=n.view||h,l.projection=n.projection||h,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=a,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*a),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function O(t,e,r,a){var i;i=Array.isArray(t)?e<t.length?t[e]:void 0:t,i=u(i);var o=!0;n(i)&&(i=\"\\u25bc\",o=!1);var s=c(i,r,a);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}m.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},m.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},m.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var a=0;a<3;++a)n.position[a]=n.dataCoordinate[a]=r[a];return n},m.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,a=e>>16&255;this.highlightId=[r/255,n/255,a/255,0]}else this.highlightId=[1,1,1,1]},m.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var a,i,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)a=c[0],i=c[1];else{a=[],i=[];for(n=0;n<c.length;++n)a[n]=c[n][0],i[n]=c[n][1]}var u=[1/0,1/0,1/0],h=[-1/0,-1/0,-1/0],f=t.glyph,p=t.color,d=t.size,v=t.angle,m=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],k=0;k<3;++k)if(isNaN(w[k])||!isFinite(w[k]))continue t;var T=(N=O(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;x+=3*T.cells.length,b+=2*M.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var z=0,I=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(m)&&Array.isArray(m[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],k=0;k<3;++k){if(isNaN(w[k])||!isFinite(w[k]))continue t;h[k]=Math.max(h[k],w[k]),u[k]=Math.min(u[k],w[k])}T=(N=O(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(V=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(k=0;k<3;++k)D[k]=V[k];D[3]=1}else if(4===V.length){for(k=0;k<4;++k)D[k]=V[k];!this.hasAlpha&&V[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(m)){var V;if(3===(V=B?n<m.length?m[n]:[0,0,0,0]:m).length){for(k=0;k<3;++k)R[k]=V[k];R[k]=1}else if(4===V.length){for(k=0;k<4;++k)R[k]=V[k];!this.hasAlpha&&V[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var U=.5;j?Array.isArray(d)?U=n<d.length?+d[n]:12:d?U=+d:this.useOrtho&&(U=12):U=0;var q=0;Array.isArray(v)?q=n<v.length?+v[n]:0:v&&(q=+v);var H=Math.cos(q),G=Math.sin(q);for(w=s[n],k=0;k<3;++k)h[k]=Math.max(h[k],w[k]),u[k]=Math.min(u[k],w[k]);var Y=a,W=i;Y=0;Array.isArray(a)?Y=n<a.length?a[n]:0:a&&(Y=a);W=0;Array.isArray(i)?W=n<i.length?i[n]:0:i&&(W=i);var X=[Y*=Y>0?1-A[0][0]:Y<0?1+A[1][0]:1,W*=W>0?1-A[0][1]:W<0?1+A[1][1]:1],Z=T.cells||[],J=T.positions||[];for(k=0;k<Z.length;++k)for(var K=Z[k],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=D[$];P[z]=y;var tt=J[K[Q]];C[2*z]=U*(H*tt[0]-G*tt[1]+X[0]),C[2*z+1]=U*(G*tt[0]+H*tt[1]+X[1]),z+=1}for(Z=M.edges,J=M.positions,k=0;k<Z.length;++k)for(K=Z[k],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*I+$]=w[$];for($=0;$<4;++$)L[4*I+$]=R[$];P[I]=y;tt=J[K[Q]];C[2*I]=U*(H*tt[0]-G*tt[1]+X[0]),C[2*I+1]=U*(G*tt[0]+H*tt[1]+X[1]),I+=1}}}this.bounds=[u,h],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},m.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":297,\"./lib/glyphs\":298,\"./lib/shaders\":299,\"gl-buffer\":244,\"gl-mat4/multiply\":270,\"gl-vao\":329,\"is-string-blank\":424,\"typedarray-pool\":543}],301:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:410}],302:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=a(r,[0,0,0,1,1,0,1,1]),l=n(r,i.boxVertex,i.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),a=(this.outerFill,this.outerColor),i=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,h=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],f=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(h=Math.max(h,c[0]),f=Math.max(f,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<h||d<f)){o.bind();var g=s[2]-s[0],v=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,f,a),o.drawBox(0,f,h,d,a),o.drawBox(0,d,g,v,a),o.drawBox(p,f,g,d,a)),this.innerFill&&o.drawBox(h,f,p,d,n),r>0){var m=r*u;o.drawBox(h-m,f-m,p+m,f+m,i),o.drawBox(h-m,d-m,p+m,d+m,i),o.drawBox(h-m,f-m,h+m,d+m,i),o.drawBox(p-m,f-m,p+m,d+m,i)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":301,\"gl-buffer\":244,\"gl-shader\":304}],303:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],i=e[1],o=n(t,r,i,{}),s=a.mallocUint8(r*i*4);return new c(t,o,s)};var n=t(\"gl-fbo\"),a=t(\"typedarray-pool\"),i=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2,s=t(\"cwise/lib/wrapper\")({args:[\"array\",{offset:[0,0,1],array:0},{offset:[0,0,2],array:0},{offset:[0,0,3],array:0},\"scalar\",\"scalar\",\"index\"],pre:{body:\"{this_closestD2=1e8,this_closestX=-1,this_closestY=-1}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},body:{body:\"{if(_inline_16_arg0_<255||_inline_16_arg1_<255||_inline_16_arg2_<255||_inline_16_arg3_<255){var _inline_16_l=_inline_16_arg4_-_inline_16_arg6_[0],_inline_16_a=_inline_16_arg5_-_inline_16_arg6_[1],_inline_16_f=_inline_16_l*_inline_16_l+_inline_16_a*_inline_16_a;_inline_16_f<this_closestD2&&(this_closestD2=_inline_16_f,this_closestX=_inline_16_arg6_[0],this_closestY=_inline_16_arg6_[1])}}\",args:[{name:\"_inline_16_arg0_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg1_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg2_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg3_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg4_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg5_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg6_\",lvalue:!1,rvalue:!0,count:4}],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[\"_inline_16_a\",\"_inline_16_f\",\"_inline_16_l\"]},post:{body:\"{return[this_closestX,this_closestY,this_closestD2]}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},debug:!1,funcName:\"cwise\",blockSize:64});function l(t,e,r,n,a){this.coord=[t,e],this.id=r,this.value=n,this.distance=a}function c(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var u=c.prototype;Object.defineProperty(u,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){a.free(this.buffer);for(var n=this.buffer=a.mallocUint8(o(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),u.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},u.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},u.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var a=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),c=0|Math.min(Math.max(e-r,0),n[1]),u=0|Math.min(Math.max(e+r,0),n[1]);if(o<=a||u<=c)return null;var h=[o-a,u-c],f=i(this.buffer,[h[0],h[1],4],[4,4*n[0],1],4*(a+n[0]*c)),p=s(f.hi(h[0],h[1],1),r,r),d=p[0],g=p[1];return d<0||Math.pow(this.radius,2)<p[2]?null:new l(d+a|0,g+c|0,f.get(d,g,0),[f.get(d,g,1),f.get(d,g,2),f.get(d,g,3)],Math.sqrt(p[2]))},u.dispose=function(){this.gl&&(this.fbo.dispose(),a.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":94,\"cwise/lib/wrapper\":151,\"gl-fbo\":252,ndarray:451,\"typedarray-pool\":543}],304:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),a=t(\"./lib/create-attributes\"),i=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function 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i=0;i<r.length;++i){var o=r[i];a[t[o]]=n[o]}}return a[e]}},{}],310:[function(t,e,r){\"use strict\";r.shader=function(t,e,r){return u(t).getShaderReference(e,r)},r.program=function(t,e,r,n,a){return u(t).getProgram(e,r,n,a)};var n=t(\"./GLError\"),a=t(\"gl-format-compiler-error\"),i=new(\"undefined\"==typeof WeakMap?t(\"weakmap-shim\"):WeakMap),o=0;function s(t,e,r,n,a,i,o){this.id=t,this.src=e,this.type=r,this.shader=n,this.count=i,this.programs=[],this.cache=o}function l(t){this.gl=t,this.shaders=[{},{}],this.programs={}}s.prototype.dispose=function(){if(0==--this.count){for(var t=this.cache,e=t.gl,r=this.programs,n=0,a=r.length;n<a;++n){var i=t.programs[r[n]];i&&(delete t.programs[n],e.deleteProgram(i))}e.deleteShader(this.shader),delete t.shaders[this.type===e.FRAGMENT_SHADER|0][this.src]}};var c=l.prototype;function u(t){var e=i.get(t);return e||(e=new l(t),i.set(t,e)),e}c.getShaderReference=function(t,e){var 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l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),c=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&i.drawLine(l,c,s[0],c,e[0],r[0]),t[1]&&i.drawLine(l,c,l,s[1],e[1],r[1]),t[2]&&i.drawLine(l,c,s[2],c,e[2],r[2]),t[3]&&i.drawLine(l,c,l,s[3],e[3],r[3])}},a.dispose=function(){this.plot.removeOverlay(this)}},{}],312:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, color;\\nattribute float weight;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 coordinates[3];\\nuniform vec4 colors[3];\\nuniform vec2 screenShape;\\nuniform float lineWidth;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vertexPosition = mix(coordinates[0],\\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\\n\\n  vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\\n  vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\\n  vec2 delta = weight * 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l=s.prototype,c=[0,0,0],u=[0,0,0],h=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var a,i=t.model||o,s=t.view||o,l=t.projection||o;this.axes&&(a=this.axes.lastCubeProps.axis);for(var f=c,p=u,d=0;d<3;++d)a&&a[d]<0?(f[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(f[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);h[0]=e.drawingBufferWidth,h[1]=e.drawingBufferHeight,n.uniforms.model=i,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,f,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=h;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":312,\"gl-buffer\":244,\"gl-vao\":329}],314:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:410}],315:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),a=t(\"gl-vec4\"),i=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,i){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map(function(t){return function(t,e,r,i){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],f=[],p=[],d=[],g=0,v=0,m=a.create(),y=a.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),v=n.length(_)/i,m=a.create(),n.copy(m,_),m[3]=w;for(var k=0;k<8;k++)p[k]=[b[0],b[1],b[2],k];if(f.length>0)for(k=0;k<8;k++){var T=(k+1)%8;c.push(f[k],p[k],p[T],p[T],f[T],f[k]),h.push(y,m,m,m,y,y),d.push(g,v,v,v,g,g);var M=c.length;u.push([M-6,M-5,M-4],[M-3,M-2,M-1])}var A=f;f=p,p=A;var S=y;y=m,m=S;var E=g;g=v,v=E}return{positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,i,o)}),h=[],f=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],v=h.length;h=h.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var m=g.cells[c],y=[];f.push(y);for(var x=0;x<m.length;x++)y.push(m[x]+v)}}return{positions:h,cells:f,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var a=t[r];if(a===e)return r;if(a>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort(function(t,e){return t-e});for(var r=t.length,n=1;n<r;n++){var a=Math.abs(t[n]-t[n-1]);a<e&&(e=a)}return e};e.exports=function(t,e){var r=t.startingPositions,a=t.maxLength||1e3,u=t.tubeSize||1,h=t.absoluteTubeSize,f=t.gridFill||\"+x+y+z\",p={};-1!==f.indexOf(\"-x\")&&(p.reversedX=!0),-1!==f.indexOf(\"-y\")&&(p.reversedY=!0),-1!==f.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=i.indexOf(f.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var a=e.vectors,i=e.meshgrid,o=t[0],c=t[1],u=t[2],h=i[0].length,f=i[1].length,p=i[2].length,d=s(i[0],o),g=s(i[1],c),v=s(i[2],u),m=d+1,y=g+1,x=v+1;if(d=l(d,0,h-1),m=l(m,0,h-1),g=l(g,0,f-1),y=l(y,0,f-1),v=l(v,0,p-1),x=l(x,0,p-1),d<0||g<0||v<0||m>h-1||y>f-1||x>p-1)return n.create();var b,_,w,k,T,M,A=i[0][d],S=i[0][m],E=i[1][g],L=i[1][y],C=i[2][v],P=(o-A)/(S-A),O=(c-E)/(L-E),z=(u-C)/(i[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,m=h-1-m),r.reversedY&&(g=f-1-g,y=f-1-y),r.reversedZ&&(v=p-1-v,x=p-1-x),r.filled){case 5:T=v,M=x,w=g*p,k=y*p,b=d*p*f,_=m*p*f;break;case 4:T=v,M=x,b=d*p,_=m*p,w=g*p*h,k=y*p*h;break;case 3:w=g,k=y,T=v*f,M=x*f,b=d*f*p,_=m*f*p;break;case 2:w=g,k=y,b=d*f,_=m*f,T=v*f*h,M=x*f*h;break;case 1:b=d,_=m,T=v*h,M=x*h,w=g*h*p,k=y*h*p;break;default:b=d,_=m,w=g*h,k=y*h,T=v*h*f,M=x*h*f}var I=a[b+w+T],D=a[b+w+M],R=a[b+k+T],F=a[b+k+M],B=a[_+w+T],N=a[_+w+M],j=a[_+k+T],V=a[_+k+M],U=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(U,I,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,V,P);var Y=n.create(),W=n.create();n.lerp(Y,U,H,O),n.lerp(W,q,G,O);var X=n.create();return n.lerp(X,Y,W,z),X}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),a=1e-4;n.add(r,t,[a,0,0]);var i=d(r);n.subtract(i,i,e),n.scale(i,i,1e4),n.add(r,t,[0,a,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1e4),n.add(r,t,[0,0,a]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1e4),n.add(r,i,o),n.add(r,r,s),r},v=[],m=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],k=function(t){var e=t[0],r=t[1],n=t[2];return!(e<m||e>b||r<y||r>_||n<x||n>w)},T=10*n.distance(e[0],e[1])/a,M=T*T,A=1,S=0,E=r.length;E>1&&(A=function(t){for(var e=[],r=[],n=[],a={},i={},o={},s=t.length,l=0;l<s;l++){var u=t[l],h=u[0],f=u[1],p=u[2];a[h]||(e.push(h),a[h]=!0),i[f]||(r.push(f),i[f]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),v=c(n),m=Math.min(d,g,v);return isFinite(m)?m:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],z=d(C),I=C;O.push(z);var D=[],R=g(C,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),v.push({points:P,velocities:O,divergences:D});for(var B=0;B<100*a&&P.length<a&&k(C);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;if(j>M&&n.scale(N,N,T/Math.sqrt(j)),n.add(N,N,C),z=d(N),n.squaredDistance(I,N)-M>-1e-4*M){P.push(N),I=N,O.push(z);R=g(N,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var V=o(v,t.colormap,S,A);return h?V.tubeScale=h:(0===S&&(S=1),V.tubeScale=.5*u*A/S),V};var u=t(\"./lib/shaders\"),h=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return h(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":314,\"gl-cone3d\":245,\"gl-vec3\":348,\"gl-vec4\":384}],316:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,i,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,i,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":304,glslify:410}],317:[function(t,e,r){arguments[4][113][0].apply(r,arguments)},{dup:113}],318:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=a(e),u=i(e,[{buffer:c,size:4,stride:w,offset:0},{buffer:c,size:3,stride:w,offset:16},{buffer:c,size:3,stride:w,offset:28}]),h=a(e),f=i(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=a(e),d=i(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var v=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,h,f,p,d,[0,0,0]),m={levels:[[],[],[]]};for(var k in t)m[k]=t[k];return m.colormap=m.colormap||\"jet\",v.update(m),v};var n=t(\"bit-twiddle\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),h=t(\"ndarray\"),f=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),v=t(\"ndarray-gradient\"),m=t(\"./lib/shaders\"),y=m.createShader,x=m.createContourShader,b=m.createPickShader,_=m.createPickContourShader,w=40,k=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],M=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,a){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=a}!function(){for(var t=0;t<3;++t){var e=M[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,a,i,o,l,c,u,f,p,d,g,v){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=v,this.intensityBounds=[],this._shader=n,this._pickShader=a,this._coordinateBuffer=i,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.opacityscale=!1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.isTransparent=function(){return this.opacity<1||this.opacityscale},L.isOpaque=function(){if(this.opacityscale)return!1;if(this.opacity<1)return!1;if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0)return!0;return!1},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[k.slice(),k.slice(),k.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,a,i=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(i[r]>0)][r],p(l,t.model,l);var c=P.clipBounds[r];for(a=0;a<2;++a)for(n=0;n<3;++n)c[a][n]=t.clipBounds[a][n];c[0][r]=-1e8,c[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var z={model:k,view:k,projection:k,inverseModel:k.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=k.slice(),D=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=z;n.model=t.model||k,n.view=t.view||k,n.projection=t.projection||k,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var a=0;a<2;++a)for(var i=n.clipBounds[a],o=0;o<3;++o)i[o]=Math.min(Math.max(this.clipBounds[a][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=D,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),a=0;a<3;++a)n.eyePosition[a]=s[12+a]/s[15];var l=s[15];for(a=0;a<3;++a)l+=this.lightPosition[a]*s[4*a+3];for(a=0;a<3;++a){var c=s[12+a];for(o=0;o<3;++o)c+=s[4*o+a]*this.lightPosition[o];n.lightPosition[a]=c/l}var u=O(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),a=0;a<3;++a)this.surfaceProject[a]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[a],this._shader.uniforms.clipBounds=u.clipBounds[a],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),a=0;a<3;++a)for(h.uniforms.permutation=M[a],r.lineWidth(this.contourWidth[a]*this.pixelRatio),o=0;o<this.contourLevels[a].length;++o)o===this.highlightLevel[a]?(h.uniforms.contourColor=this.highlightColor[a],h.uniforms.contourTint=this.highlightTint[a]):0!==o&&o-1!==this.highlightLevel[a]||(h.uniforms.contourColor=this.contourColor[a],h.uniforms.contourTint=this.contourTint[a]),this._contourCounts[a][o]&&(h.uniforms.height=this.contourLevels[a][o],f.draw(r.LINES,this._contourCounts[a][o],this._contourOffsets[a][o]));for(a=0;a<3;++a)for(h.uniforms.model=u.projections[a],h.uniforms.clipBounds=u.clipBounds[a],o=0;o<3;++o)if(this.contourProject[a][o]){h.uniforms.permutation=M[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(h.uniforms.height=this.contourLevels[o][g],f.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(f.unbind(),(f=this._dynamicVAO).bind(),a=0;a<3;++a)if(0!==this._dynamicCounts[a])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=M[a],r.lineWidth(this.dynamicWidth[a]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[a],h.uniforms.contourTint=this.dynamicTint[a],h.uniforms.height=this.dynamicLevel[a],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]),o=0;o<3;++o)this.contourProject[o][a]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]));f.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:k,view:k,projection:k,inverseModel:k,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||k,r.view=t.view||k,r.projection=t.projection||k,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=D;for(var n=0;n<2;++n)for(var a=r.clipBounds[n],i=0;i<3;++i)a[i]=Math.min(Math.max(this.clipBounds[n][i],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),i=0;i<3;++i)for(e.lineWidth(this.contourWidth[i]*this.pixelRatio),s.uniforms.permutation=M[i],n=0;n<this.contourLevels[i].length;++n)this._contourCounts[i][n]&&(s.uniforms.height=this.contourLevels[i][n],l.draw(e.LINES,this._contourCounts[i][n],this._contourOffsets[i][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],i=0;i<3;++i)if(this.contourProject[n][i]){s.uniforms.permutation=M[i],e.lineWidth(this.contourWidth[i]*this.pixelRatio);for(var c=0;c<this.contourLevels[i].length;++c)this._contourCounts[i][c]&&(s.uniforms.height=this.contourLevels[i][c],l.draw(e.LINES,this._contourCounts[i][c],this._contourOffsets[i][c]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,a=Math.floor(n),i=n-a,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;a+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?i:1-i,f=0;f<2;++f)for(var p=a+u,d=s+f,v=h*(f?l:1-l),m=0;m<3;++m)c[m]+=this._field[m].get(p,d)*v;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=i<.5?a:a+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],m=0;m<3;++m)r.dataCoordinate[m]=this._field[m].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,function(t){return B(t,Boolean)})),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0);var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var a=(e.shape[0]+2)*(e.shape[1]+2);a>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(a))),this._field[2]=h(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var i=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2]);if(t.coords){var p=t.coords;if(!Array.isArray(p)||3!==p.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var d=p[o];for(b=0;b<2;++b)if(d.shape[b]!==i[b])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],d)}}else if(t.ticks){var g=t.ticks;if(!Array.isArray(g)||2!==g.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var m=g[o];if((Array.isArray(m)||m.length)&&(m=h(m)),m.shape[0]!==i[o])throw new Error(\"gl-surface: invalid tick length\");var y=h(m.data,i);y.stride[o]=m.stride[0],y.stride[1^o]=0,this.padField(this._field[o],y)}}else{for(o=0;o<2;++o){var x=[0,0];x[o]=1,this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2],x,0)}this._field[0].set(0,0,0);for(var b=0;b<i[0];++b)this._field[0].set(b+1,0,b);for(this._field[0].set(i[0]+1,0,i[0]-1),this._field[1].set(0,0,0),b=0;b<i[1];++b)this._field[1].set(0,b+1,b);this._field[1].set(0,i[1]+1,i[1]-1)}var _=this._field,w=h(s.mallocFloat(3*_[2].size*2),[3,i[0]+2,i[1]+2,2]);for(o=0;o<3;++o)v(w.pick(o),_[o],\"mirror\");var k=h(s.mallocFloat(3*_[2].size),[i[0]+2,i[1]+2,3]);for(o=0;o<i[0]+2;++o)for(b=0;b<i[1]+2;++b){var M=w.get(0,o,b,0),A=w.get(0,o,b,1),E=w.get(1,o,b,0),L=w.get(1,o,b,1),C=w.get(2,o,b,0),P=w.get(2,o,b,1),O=E*P-L*C,z=C*A-P*M,I=M*L-A*E,D=Math.sqrt(O*O+z*z+I*I);D<1e-8?(D=Math.max(Math.abs(O),Math.abs(z),Math.abs(I)))<1e-8?(I=1,z=O=0,D=1):D=1/D:D=1/Math.sqrt(D),k.set(o,b,0,O*D),k.set(o,b,1,z*D),k.set(o,b,2,I*D)}s.free(w.data);var R=[1/0,1/0,1/0],F=[-1/0,-1/0,-1/0],N=1/0,V=-1/0,U=(i[0]-1)*(i[1]-1)*6,q=s.mallocFloat(n.nextPow2(10*U)),H=0,G=0;for(o=0;o<i[0]-1;++o)t:for(b=0;b<i[1]-1;++b){for(var Y=0;Y<2;++Y)for(var W=0;W<2;++W)for(var X=0;X<3;++X){var Z=this._field[X].get(1+o+Y,1+b+W);if(isNaN(Z)||!isFinite(Z))continue t}for(X=0;X<6;++X){var J=o+T[X][0],K=b+T[X][1],Q=this._field[0].get(J+1,K+1),$=this._field[1].get(J+1,K+1);Z=this._field[2].get(J+1,K+1),O=k.get(J+1,K+1,0),z=k.get(J+1,K+1,1),I=k.get(J+1,K+1,2),t.intensity&&(tt=t.intensity.get(J,K));var tt=t.intensity?t.intensity.get(J,K):Z+this.objectOffset[2];q[H++]=J,q[H++]=K,q[H++]=Q,q[H++]=$,q[H++]=Z,q[H++]=0,q[H++]=tt,q[H++]=O,q[H++]=z,q[H++]=I,R[0]=Math.min(R[0],Q+this.objectOffset[0]),R[1]=Math.min(R[1],$+this.objectOffset[1]),R[2]=Math.min(R[2],Z+this.objectOffset[2]),N=Math.min(N,tt),F[0]=Math.max(F[0],Q+this.objectOffset[0]),F[1]=Math.max(F[1],$+this.objectOffset[1]),F[2]=Math.max(F[2],Z+this.objectOffset[2]),V=Math.max(V,tt),G+=1}}for(t.intensityBounds&&(N=+t.intensityBounds[0],V=+t.intensityBounds[1]),o=6;o<H;o+=10)q[o]=(q[o]-N)/(V-N);this._vertexCount=G,this._coordinateBuffer.update(q.subarray(0,H)),s.freeFloat(q),s.free(k.data),this.bounds=[R,F],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===N&&this.intensityBounds[1]===V||(r=!0),this.intensityBounds=[N,V]}if(\"levels\"in t){var et=t.levels;for(et=Array.isArray(et[0])?et.slice():[[],[],et],o=0;o<3;++o)et[o]=et[o].slice(),et[o].sort(function(t,e){return t-e});for(o=0;o<3;++o)for(b=0;b<et[o].length;++b)et[o][b]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(et[o].length!==this.contourLevels[o].length){r=!0;break}for(b=0;b<et[o].length;++b)if(et[o][b]!==this.contourLevels[o][b]){r=!0;break t}}this.contourLevels=et}if(r){_=this._field,i=this.shape;for(var rt=[],nt=0;nt<3;++nt){var at=this.contourLevels[nt],it=[],ot=[],st=[0,0,0];for(o=0;o<at.length;++o){var lt=f(this._field[nt],at[o]);it.push(rt.length/5|0),G=0;t:for(b=0;b<lt.cells.length;++b){var ct=lt.cells[b];for(X=0;X<2;++X){var ut=lt.positions[ct[X]],ht=ut[0],ft=0|Math.floor(ht),pt=ht-ft,dt=ut[1],gt=0|Math.floor(dt),vt=dt-gt,mt=!1;e:for(var yt=0;yt<3;++yt){st[yt]=0;var xt=(nt+yt+1)%3;for(Y=0;Y<2;++Y){var bt=Y?pt:1-pt;for(J=0|Math.min(Math.max(ft+Y,0),i[0]),W=0;W<2;++W){var _t=W?vt:1-vt;if(K=0|Math.min(Math.max(gt+W,0),i[1]),Z=yt<2?this._field[xt].get(J,K):(this.intensity.get(J,K)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(Z)||isNaN(Z)){mt=!0;break e}var wt=bt*_t;st[yt]+=wt*Z}}}if(mt){if(X>0){for(var kt=0;kt<5;++kt)rt.pop();G-=1}continue t}rt.push(st[0],st[1],ut[0],ut[1],st[2]),G+=1}}ot.push(G)}this._contourOffsets[nt]=it,this._contourCounts[nt]=ot}var Tt=s.mallocFloat(rt.length);for(o=0;o<rt.length;++o)Tt[o]=rt[o];this._contourBuffer.update(Tt),s.freeFloat(Tt)}t.colormap&&this._colorMap.setPixels(function(t,e){var r=u([l({colormap:t,nshades:S,format:\"rgba\"}).map(function(t,r){var n=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(r/255,e):1;return[t[0],t[1],t[2],255*n]})]);return c.divseq(r,255),r}(t.colormap,this.opacityscale))},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,a=this.shape,i=s.mallocFloat(12*a[0]*a[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=f(u,r[o]),g=d.cells,v=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var m=g[e],y=0;y<2;++y){var x=v[m[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,a[0]),k=b-_,T=1-k,M=+x[1],A=0|M,S=0|Math.min(A+1,a[1]),E=M-A,L=1-E,C=T*L,P=T*E,O=k*L,z=k*E,I=C*h.get(_,A)+P*h.get(_,S)+O*h.get(w,A)+z*h.get(w,S),D=C*p.get(_,A)+P*p.get(_,S)+O*p.get(w,A)+z*p.get(w,S);if(isNaN(I)||isNaN(D)){y&&(n-=1);break}i[2*n+0]=I,i[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(i.subarray(0,2*n)),s.freeFloat(i)}}},{\"./lib/shaders\":316,\"binary-search-bounds\":317,\"bit-twiddle\":94,colormap:128,\"gl-buffer\":244,\"gl-mat4/invert\":268,\"gl-mat4/multiply\":270,\"gl-texture2d\":324,\"gl-vao\":329,ndarray:451,\"ndarray-gradient\":442,\"ndarray-ops\":445,\"ndarray-pack\":446,\"surface-nets\":529,\"typedarray-pool\":543}],319:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),a=t(\"pick-by-alias\"),i=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),h=t(\"parse-rect\"),f=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),g=t(\"detect-kerning\"),v=t(\"object-assign\"),m=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var k=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||i({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(f(t)?t:{})};k.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\t\"+(k.normalViewport?\"\":\"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);\")+\"\\n\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ positionOffset))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\t\"+(k.normalViewport?\"position.y = 1. - position.y;\":\"\")+\"\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},k.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=a(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map(function(t){return parseFloat(t)}):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=h(t.viewport),k.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=k.baseFontSize+\"px sans-serif\");var r,i=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach(function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(k.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var a=n.stringify({size:k.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&a==e.font[r].baseString||(i=!0,e.font[r]=k.fonts[a],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:a,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:m(c,{origin:\"top\",fontSize:k.baseFontSize,fontStyle:u.join(\" \")})},k.fonts[a]=e.font[r]}}),(i||o)&&this.font.forEach(function(r,a){var i=n.stringify({size:e.fontSize[a],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[a]=e.shader.atlas[i],!e.fontAtlas[a]){var o=r.metrics;e.shader.atlas[i]=e.fontAtlas[a]={fontString:i,step:2*Math.ceil(e.fontSize[a]*o.bottom*.5),em:e.fontSize[a],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)}),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),f=0;f<s.length;f++)s[f]=t.text;t.text=s}if(null!=t.text||i){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach(function(t,n){k.atlasContext.font=t.baseString;for(var a=e.fontAtlas[n],i=0;i<e.text.length;i++){var o=e.text.charAt(i);if(null==a.ids[o]&&(a.ids[o]=a.chars.length,a.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=k.atlasContext.measureText(o).width/k.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);v(t.kerning,g(t.family,{pairs:s}))}}})}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,T=u.mallocFloat(2*this.count),M=0,A=0;M<this.counts.length;M++){var S=this.counts[M];if(w)for(var E=0;E<S;E++)T[A++]=t.position[2*M],T[A++]=t.position[2*M+1];else for(var L=0;L<S;L++)T[A++]=t.position[M][0],T[A++]=t.position[M][1]}this.position.call?this.position({type:\"float\",data:T}):this.position=this.regl.buffer({type:\"float\",data:T}),u.freeFloat(T)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||i){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var O=0,z=0;O<this.counts.length;O++){for(var I=this.counts[O],D=this.font[O]||this.font[0],R=this.fontAtlas[O]||this.fontAtlas[0],F=0;F<I;F++){var B=this.text.charAt(z),N=this.text.charAt(z-1);if(C[z]=R.ids[B],P[2*z]=D.width[B],F){var j=P[2*z-2],V=P[2*z],U=P[2*z-1]+.5*j+.5*V;if(this.kerning){var q=D.kerning[N+B];q&&(U+=.001*q)}P[2*z+1]=U}else P[2*z+1]=.5*P[2*z];z++}this.textWidth.push(P.length?.5*P[2*z-2]+P[2*z-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach(function(t,r){var n=e.fontAtlas[r],a=n.step,i=Math.floor(k.maxAtlasSize/a),o=Math.min(i,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*a),u=x(s*a);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:k.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[a,a]})})})}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map(function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0})),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map(function(t,r){var n=(e.font[r]||e.font[0]).metrics,a=0;return a+=.5*n.bottom,a+=\"number\"==typeof t?t-n.baseline:-n[t],k.normalViewport||(a*=-1),a})),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;H=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},k.prototype.destroy=function(){},k.prototype.kerning=!0,k.prototype.position={constant:new Float32Array(2)},k.prototype.translate=null,k.prototype.scale=null,k.prototype.font=null,k.prototype.text=\"\",k.prototype.positionOffset=[0,0],k.prototype.opacity=1,k.prototype.color=new Uint8Array([0,0,0,255]),k.prototype.alignOffset=[0,0],k.normalViewport=!1,k.maxAtlasSize=1024,k.atlasCanvas=document.createElement(\"canvas\"),k.atlasContext=k.atlasCanvas.getContext(\"2d\",{alpha:!1}),k.baseFontSize=64,k.fonts={},e.exports=k},{\"bit-twiddle\":94,\"color-normalize\":122,\"css-font\":141,\"detect-kerning\":168,\"es6-weak-map\":320,\"flatten-vertex-data\":230,\"font-atlas\":231,\"font-measure\":232,\"gl-util/context\":325,\"is-plain-obj\":423,\"object-assign\":455,\"parse-rect\":460,\"parse-unit\":462,\"pick-by-alias\":466,regl:500,\"to-px\":537,\"typedarray-pool\":543}],320:[function(t,e,r){\"use strict\";e.exports=t(\"./is-implemented\")()?WeakMap:t(\"./polyfill\")},{\"./is-implemented\":321,\"./polyfill\":323}],321:[function(t,e,r){\"use strict\";e.exports=function(){var t,e;if(\"function\"!=typeof WeakMap)return!1;try{t=new WeakMap([[e={},\"one\"],[{},\"two\"],[{},\"three\"]])}catch(t){return!1}return\"[object WeakMap]\"===String(t)&&(\"function\"==typeof t.set&&(t.set({},1)===t&&(\"function\"==typeof t.delete&&(\"function\"==typeof t.has&&\"one\"===t.get(e)))))}},{}],322:[function(t,e,r){\"use strict\";e.exports=\"function\"==typeof WeakMap&&\"[object WeakMap]\"===Object.prototype.toString.call(new WeakMap)},{}],323:[function(t,e,r){\"use strict\";var n,a=t(\"es5-ext/object/is-value\"),i=t(\"es5-ext/object/set-prototype-of\"),o=t(\"es5-ext/object/valid-object\"),s=t(\"es5-ext/object/valid-value\"),l=t(\"es5-ext/string/random-uniq\"),c=t(\"d\"),u=t(\"es6-iterator/get\"),h=t(\"es6-iterator/for-of\"),f=t(\"es6-symbol\").toStringTag,p=t(\"./is-native-implemented\"),d=Array.isArray,g=Object.defineProperty,v=Object.prototype.hasOwnProperty,m=Object.getPrototypeOf;e.exports=n=function(){var t,e=arguments[0];if(!(this instanceof n))throw new TypeError(\"Constructor requires 'new'\");return t=p&&i&&WeakMap!==n?i(new WeakMap,m(this)):this,a(e)&&(d(e)||(e=u(e))),g(t,\"__weakMapData__\",c(\"c\",\"$weakMap$\"+l())),e?(h(e,function(e){s(e),t.set(e[0],e[1])}),t):t},p&&(i&&i(n,WeakMap),n.prototype=Object.create(WeakMap.prototype,{constructor:c(n)})),Object.defineProperties(n.prototype,{delete:c(function(t){return!!v.call(o(t),this.__weakMapData__)&&(delete t[this.__weakMapData__],!0)}),get:c(function(t){if(v.call(o(t),this.__weakMapData__))return t[this.__weakMapData__]}),has:c(function(t){return v.call(o(t),this.__weakMapData__)}),set:c(function(t,e){return g(o(t),this.__weakMapData__,c(\"c\",e)),this}),toString:c(function(){return\"[object 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v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=c(e)?e:e.raw;if(r)return function(t,e,r,n,a,i){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,a,a,i,e),new f(t,o,r,n,a,i)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var h,p,v=0;if(2===o.length)v=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])v=t.ALPHA;else if(2===o[2])v=t.LUMINANCE_ALPHA;else if(3===o[2])v=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");v=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var m=e.size;if(l)h=0===e.offset&&e.data.length===m?e.data:e.data.subarray(e.offset,e.offset+m);else{var y=[o[2],o[2]*o[0],1];p=i.malloc(m,r);var x=n(p,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?a.assign(x,e):u(x,e),h=p.subarray(0,m)}var b=g(t);t.texImage2D(t.TEXTURE_2D,0,v,o[0],o[1],0,v,c,h),l||i.free(p);return new f(t,b,o[0],o[1],v,c)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var u=function(t,e){a.muls(t,e,255)};function h(t,e,r){var n=t.gl,a=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function f(t,e,r,n,a,i){this.gl=t,this.handle=e,this.format=a,this.type=i,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=f.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,a){var i=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture shape\");if(a===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,a,null),new f(t,o,e,r,n,a)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return 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Math.min.apply(Math,e.map(function(e){return e.evaluate(t)}))}],max:[It,sr(It),function(t,e){return Math.max.apply(Math,e.map(function(e){return e.evaluate(t)}))}],abs:[It,[It],function(t,e){var r=e[0];return Math.abs(r.evaluate(t))}],round:[It,[It],function(t,e){var r=e[0].evaluate(t);return r<0?-Math.round(-r):Math.round(r)}],floor:[It,[It],function(t,e){var r=e[0];return Math.floor(r.evaluate(t))}],ceil:[It,[It],function(t,e){var r=e[0];return Math.ceil(r.evaluate(t))}],\"filter-==\":[Rt,[Dt,Nt],function(t,e){var r=e[0],n=e[1];return t.properties()[r.value]===n.value}],\"filter-id-==\":[Rt,[Nt],function(t,e){var r=e[0];return t.id()===r.value}],\"filter-type-==\":[Rt,[Dt],function(t,e){var r=e[0];return t.geometryType()===r.value}],\"filter-<\":[Rt,[Dt,Nt],function(t,e){var r=e[0],n=e[1],a=t.properties()[r.value],i=n.value;return typeof a==typeof i&&a<i}],\"filter-id-<\":[Rt,[Nt],function(t,e){var r=e[0],n=t.id(),a=r.value;return typeof n==typeof 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e[0].evaluate(t).toUpperCase()}],downcase:[Dt,[Dt],function(t,e){return e[0].evaluate(t).toLowerCase()}],concat:[Dt,sr(Nt),function(t,e){return e.map(function(e){return $t(e.evaluate(t))}).join(\"\")}],\"resolved-locale\":[Dt,[jt],function(t,e){return e[0].evaluate(t).resolvedLocale()}]});var _r=function(t,e){this.expression=t,this._warningHistory={},this._evaluator=new le,this._defaultValue=e?function(t){return\"color\"===t.type&&dr(t.default)?new Wt(0,0,0,0):\"color\"===t.type?Wt.parse(t.default)||null:void 0===t.default?null:t.default}(e):null,this._enumValues=e&&\"enum\"===e.type?e.values:null};function wr(t){return Array.isArray(t)&&t.length>0&&\"string\"==typeof t[0]&&t[0]in nr}function kr(t,e){var r=new ge(nr,[],e?function(t){var e={color:Ft,string:Dt,number:It,enum:Dt,boolean:Rt,formatted:Vt};return\"array\"===t.type?Ut(e[t.value]||Nt,t.length):e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&\"string\"===e.type?{typeAnnotation:\"coerce\"}:void 0);return n?lr(new 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Tr=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!fe(e.expression)};Tr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n)},Tr.prototype.evaluate=function(t,e,r,n){return this._styleExpression.evaluate(t,e,r,n)};var Mr=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!fe(e.expression),this.interpolationType=n};function Ar(t,e){if(\"error\"===(t=kr(t,e)).result)return t;var r=t.value.expression,n=he(r);if(!n&&!ur(e))return cr([new Pt(\"\",\"data expressions not supported\")]);var a=pe(r,[\"zoom\"]);if(!a&&!hr(e))return cr([new Pt(\"\",\"zoom expressions not supported\")]);var i=function t(e){var r=null;if(e instanceof Ue)r=t(e.result);else if(e instanceof Ve)for(var n=0,a=e.args;n<a.length;n+=1){var i=a[n];if(r=t(i))break}else(e instanceof me||e instanceof Ne)&&e.input instanceof ce&&\"zoom\"===e.input.name&&(r=e);return r instanceof Pt?r:(e.eachChild(function(e){var n=t(e);n instanceof Pt?r=n:!r&&n?r=new Pt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):r&&n&&r!==n&&(r=new Pt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))}),r)}(r);if(!i&&!a)return cr([new Pt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(i instanceof Pt)return cr([i]);if(i instanceof Ne&&!fr(e))return cr([new Pt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!i)return lr(new Tr(n?\"constant\":\"source\",t.value));var o=i instanceof Ne?i.interpolation:void 0;return lr(new Mr(n?\"camera\":\"composite\",t.value,i.labels,o))}Mr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n)},Mr.prototype.evaluate=function(t,e,r,n){return this._styleExpression.evaluate(t,e,r,n)},Mr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?Ne.interpolationFactor(this.interpolationType,t,e,r):0};var Sr=function(t,e){this._parameters=t,this._specification=e,St(this,function t(e,r){var n,a,i,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(fr(r)?\"exponential\":\"interval\");if(o&&((e=St({},e)).stops&&(e.stops=e.stops.map(function(t){return[t[0],Wt.parse(t[1])]})),e.default?e.default=Wt.parse(e.default):e.default=Wt.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!Be[e.colorSpace])throw new Error(\"Unknown color space: \"+e.colorSpace);if(\"exponential\"===u)n=xr;else if(\"interval\"===u)n=yr;else if(\"categorical\"===u){n=mr,a=Object.create(null);for(var h=0,f=e.stops;h<f.length;h+=1){var p=f[h];a[p[0]]=p[1]}i=typeof 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s=o&&o.properties?o.properties[e.property]:void 0;return void 0===s?vr(e.default,r.default):n(e,r,s,a,i)}}}(this._parameters,this._specification))};function Er(t){var e=t.key,r=t.value,n=t.valueSpec||{},a=t.objectElementValidators||{},i=t.style,o=t.styleSpec,s=[],l=pr(r);if(\"object\"!==l)return[new Mt(e,r,\"object expected, \"+l+\" found\")];for(var c in r){var u=c.split(\".\")[0],h=n[u]||n[\"*\"],f=void 0;if(a[u])f=a[u];else if(n[u])f=Qr;else if(a[\"*\"])f=a[\"*\"];else{if(!n[\"*\"]){s.push(new Mt(e,r[c],'unknown property \"'+c+'\"'));continue}f=Qr}s=s.concat(f({key:(e?e+\".\":e)+c,value:r[c],valueSpec:h,style:i,styleSpec:o,object:r,objectKey:c},r))}for(var p in n)a[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Mt(e,r,'missing required property \"'+p+'\"'));return s}function Lr(t){var e=t.value,r=t.valueSpec,n=t.style,a=t.styleSpec,i=t.key,o=t.arrayElementValidator||Qr;if(\"array\"!==pr(e))return[new Mt(i,e,\"array expected, \"+pr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new Mt(i,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new Mt(i,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};a.$version<7&&(s.function=r.function),\"object\"===pr(r.value)&&(s=r.value);for(var l=[],c=0;c<e.length;c++)l=l.concat(o({array:e,arrayIndex:c,value:e[c],valueSpec:s,style:n,styleSpec:a,key:i+\"[\"+c+\"]\"}));return l}function Cr(t){var e=t.key,r=t.value,n=t.valueSpec,a=pr(r);return\"number\"!==a?[new Mt(e,r,\"number expected, \"+a+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Mt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Mt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function Pr(t){var e,r,n,a=t.valueSpec,i=Lt(t.value.type),o={},s=\"categorical\"!==i&&void 0===t.value.property,l=!s,c=\"array\"===pr(t.value.stops)&&\"array\"===pr(t.value.stops[0])&&\"object\"===pr(t.value.stops[0][0]),u=Er({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===i)return[new Mt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(Lr({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),\"array\"===pr(r)&&0===r.length&&e.push(new Mt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Qr({key:t.key,value:t.value,valueSpec:a,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===i&&s&&u.push(new Mt(t.key,t.value,'missing required property \"property\"')),\"identity\"===i||t.value.stops||u.push(new Mt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===i&&t.valueSpec.expression&&!fr(t.valueSpec)&&u.push(new Mt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!ur(t.valueSpec)?u.push(new Mt(t.key,t.value,\"property functions not supported\")):s&&!hr(t.valueSpec)&&u.push(new Mt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==i&&!c||void 0!==t.value.property||u.push(new Mt(t.key,t.value,'\"property\" property is required')),u;function h(t){var e=[],i=t.value,s=t.key;if(\"array\"!==pr(i))return[new Mt(s,i,\"array expected, \"+pr(i)+\" found\")];if(2!==i.length)return[new Mt(s,i,\"array length 2 expected, length \"+i.length+\" found\")];if(c){if(\"object\"!==pr(i[0]))return[new Mt(s,i,\"object expected, \"+pr(i[0])+\" found\")];if(void 0===i[0].zoom)return[new Mt(s,i,\"object stop key must have zoom\")];if(void 0===i[0].value)return[new Mt(s,i,\"object stop key must have value\")];if(n&&n>Lt(i[0].zoom))return[new Mt(s,i[0].zoom,\"stop zoom values must appear in ascending order\")];Lt(i[0].zoom)!==n&&(n=Lt(i[0].zoom),r=void 0,o={}),e=e.concat(Er({key:s+\"[0]\",value:i[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:Cr,value:f}}))}else e=e.concat(f({key:s+\"[0]\",value:i[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},i));return wr(Ct(i[1]))?e.concat([new Mt(s+\"[1]\",i[1],\"expressions are not allowed in function stops.\")]):e.concat(Qr({key:s+\"[1]\",value:i[1],valueSpec:a,style:t.style,styleSpec:t.styleSpec}))}function f(t,n){var s=pr(t.value),l=Lt(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Mt(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Mt(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==i){var u=\"number expected, \"+s+\" found\";return ur(a)&&void 0===i&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Mt(t.key,c,u)]}return\"categorical\"!==i||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==i&&\"number\"===s&&void 0!==r&&l<r?[new Mt(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===i&&l in o?[new Mt(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Mt(t.key,c,\"integer expected, found \"+l)]}}function Or(t){var e=(\"property\"===t.expressionContext?Ar:kr)(Ct(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map(function(e){return new Mt(\"\"+t.key+e.key,t.value,e.message)});var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&-1!==r.possibleOutputs().indexOf(void 0))return[new Mt(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!fe(r))return[new Mt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!fe(r))return[new Mt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!pe(r,[\"zoom\",\"feature-state\"]))return[new Mt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!he(r))return[new Mt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function zr(t){var e=t.key,r=t.value,n=t.valueSpec,a=[];return Array.isArray(n.values)?-1===n.values.indexOf(Lt(r))&&a.push(new Mt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], 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Dr={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function Rr(t){if(null==t)return function(){return!0};Ir(t)||(t=Br(t));var e=kr(t,Dr);if(\"error\"===e.result)throw new Error(e.value.map(function(t){return t.key+\": \"+t.message}).join(\", \"));return function(t,r){return e.value.evaluate(t,r)}}function Fr(t,e){return t<e?-1:t>e?1:0}function Br(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Nr(t[1],t[2],\"==\"):\"!=\"===r?Ur(Nr(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Nr(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(Br))):\"all\"===r?[\"all\"].concat(t.slice(1).map(Br)):\"none\"===r?[\"all\"].concat(t.slice(1).map(Br).map(Ur)):\"in\"===r?jr(t[1],t.slice(2)):\"!in\"===r?Ur(jr(t[1],t.slice(2))):\"has\"===r?Vr(t[1]):\"!has\"!==r||Ur(Vr(t[1]))}function 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l=1;l<r.length;l++)o=o.concat(t({key:n+\"[\"+l+\"]\",value:r[l],style:e.style,styleSpec:e.styleSpec}));break;case\"has\":case\"!has\":a=pr(r[1]),2!==r.length?o.push(new Mt(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"string\"!==a&&o.push(new Mt(n+\"[1]\",r[1],\"string expected, \"+a+\" found\"))}return o}(t)}function Hr(t,e){var r=t.key,n=t.style,a=t.styleSpec,i=t.value,o=t.objectKey,s=a[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Qr({key:r,value:i,valueSpec:a.transition,style:n,styleSpec:a});var c,u=t.valueSpec||s[o];if(!u)return[new Mt(r,i,'unknown property \"'+o+'\"')];if(\"string\"===pr(i)&&ur(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(i)))return[new Mt(r,i,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var 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zr({key:r+\".type\",value:e.type,valueSpec:{values:[\"vector\",\"raster\",\"raster-dem\",\"geojson\",\"video\",\"image\"]},style:a,styleSpec:n})}}function Zr(t){var e=t.value,r=t.styleSpec,n=r.light,a=t.style,i=[],o=pr(e);if(void 0===e)return i;if(\"object\"!==o)return i.concat([new Mt(\"light\",e,\"object expected, \"+o+\" found\")]);for(var s in e){var l=s.match(/^(.*)-transition$/);i=l&&n[l[1]]&&n[l[1]].transition?i.concat(Qr({key:s,value:e[s],valueSpec:r.transition,style:a,styleSpec:r})):n[s]?i.concat(Qr({key:s,value:e[s],valueSpec:n[s],style:a,styleSpec:r})):i.concat([new Mt(s,e[s],'unknown property \"'+s+'\"')])}return i}function Jr(t){var e=t.value,r=t.key,n=pr(e);return\"string\"!==n?[new Mt(r,e,\"string expected, \"+n+\" found\")]:[]}var Kr={\"*\":function(){return[]},array:Lr,boolean:function(t){var e=t.value,r=t.key,n=pr(e);return\"boolean\"!==n?[new Mt(r,e,\"boolean expected, \"+n+\" found\")]:[]},number:Cr,color:function(t){var e=t.key,r=t.value,n=pr(r);return\"string\"!==n?[new Mt(e,r,\"color expected, \"+n+\" found\")]:null===Yt(r)?[new Mt(e,r,'color expected, \"'+r+'\" found')]:[]},constants:At,enum:zr,filter:qr,function:Pr,layer:Wr,object:Er,source:Xr,light:Zr,string:Jr,formatted:function(t){return 0===Jr(t).length?[]:Or(t)}};function Qr(t){var e=t.value,r=t.valueSpec,n=t.styleSpec;return r.expression&&dr(Lt(e))?Pr(t):r.expression&&wr(Ct(e))?Or(t):r.type&&Kr[r.type]?Kr[r.type](t):Er(St({},t,{valueSpec:r.type?n[r.type]:r}))}function $r(t){var e=t.value,r=t.key,n=Jr(t);return n.length?n:(-1===e.indexOf(\"{fontstack}\")&&n.push(new Mt(r,e,'\"glyphs\" url must include a \"{fontstack}\" token')),-1===e.indexOf(\"{range}\")&&n.push(new Mt(r,e,'\"glyphs\" url must include a \"{range}\" token')),n)}function tn(t,e){e=e||Tt;var r=[];return 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this._forEachCell(t,e,r,n,this._queryCell,s,{},a),s},hn.prototype._queryCell=function(t,e,r,n,a,i,o,s){var l=this.cells[a];if(null!==l)for(var c=this.keys,u=this.bboxes,h=0;h<l.length;h++){var f=l[h];if(void 0===o[f]){var p=4*f;(s?s(u[p+0],u[p+1],u[p+2],u[p+3]):t<=u[p+2]&&e<=u[p+3]&&r>=u[p+0]&&n>=u[p+1])?(o[f]=!0,i.push(c[f])):o[f]=!1}}},hn.prototype._forEachCell=function(t,e,r,n,a,i,o,s){for(var l=this._convertToCellCoord(t),c=this._convertToCellCoord(e),u=this._convertToCellCoord(r),h=this._convertToCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++){var d=this.d*p+f;if((!s||s(this._convertFromCellCoord(f),this._convertFromCellCoord(p),this._convertFromCellCoord(f+1),this._convertFromCellCoord(p+1)))&&a.call(this,t,e,r,n,d,i,o,s))return}},hn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},hn.prototype._convertToCellCoord=function(t){return 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c=s.serialize?s.serialize(t,e):{};if(!s.serialize){for(var u in t)if(t.hasOwnProperty(u)&&!(pn[l].omit.indexOf(u)>=0)){var h=t[u];c[u]=pn[l].shallow.indexOf(u)>=0?h:vn(h,e)}t instanceof Error&&(c.message=t.message)}if(c.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return\"Object\"!==l&&(c.$name=l),c}throw new Error(\"can't serialize object of type \"+typeof t)}function mn(t){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||t instanceof ArrayBuffer||ArrayBuffer.isView(t)||t instanceof fn)return t;if(Array.isArray(t))return t.map(mn);if(\"object\"==typeof t){var e=t.$name||\"Object\",r=pn[e].klass;if(!r)throw new Error(\"can't deserialize unregistered class \"+e);if(r.deserialize)return r.deserialize(t);for(var n=Object.create(r.prototype),a=0,i=Object.keys(t);a<i.length;a+=1){var o=i[a];if(\"$name\"!==o){var 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this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,t},e}(Zn);aa.prototype.bytesPerElement=12,dn(\"StructArrayLayout3f12\",aa);var ia=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Zn);ia.prototype.bytesPerElement=4,dn(\"StructArrayLayout1ul4\",ia);var oa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,a,i,o,s,l,c,u)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h){var f=12*t,p=6*t;return this.int16[f+0]=e,this.int16[f+1]=r,this.int16[f+2]=n,this.int16[f+3]=a,this.int16[f+4]=i,this.int16[f+5]=o,this.uint32[p+3]=s,this.uint16[f+8]=l,this.uint16[f+9]=c,this.int16[f+10]=u,this.int16[f+11]=h,t},e}(Zn);oa.prototype.bytesPerElement=24,dn(\"StructArrayLayout6i1ul2ui2i24\",oa);var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,a,i)},e.prototype.emplace=function(t,e,r,n,a,i,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=a,this.int16[s+4]=i,this.int16[s+5]=o,t},e}(Zn);sa.prototype.bytesPerElement=12,dn(\"StructArrayLayout2i2i2i12\",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=12*t,o=3*t;return this.uint8[i+0]=e,this.uint8[i+1]=r,this.float32[o+1]=n,this.float32[o+2]=a,t},e}(Zn);la.prototype.bytesPerElement=12,dn(\"StructArrayLayout2ub2f12\",la);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v){var m=22*t,y=11*t,x=44*t;return this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=a,this.uint32[y+2]=i,this.uint32[y+3]=o,this.uint32[y+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=c,this.uint16[m+12]=u,this.float32[y+7]=h,this.float32[y+8]=f,this.uint8[x+36]=p,this.uint8[x+37]=d,this.uint8[x+38]=g,this.uint32[y+10]=v,t},e}(Zn);ca.prototype.bytesPerElement=44,dn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul44\",ca);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x){var b=this.length;return this.resize(b+1),this.emplace(b,t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x,b){var _=24*t,w=12*t;return this.int16[_+0]=e,this.int16[_+1]=r,this.int16[_+2]=n,this.int16[_+3]=a,this.int16[_+4]=i,this.int16[_+5]=o,this.uint16[_+6]=s,this.uint16[_+7]=l,this.uint16[_+8]=c,this.uint16[_+9]=u,this.uint16[_+10]=h,this.uint16[_+11]=f,this.uint16[_+12]=p,this.uint16[_+13]=d,this.uint16[_+14]=g,this.uint16[_+15]=v,this.uint16[_+16]=m,this.uint32[w+9]=y,this.float32[w+10]=x,this.float32[w+11]=b,t},e}(Zn);ua.prototype.bytesPerElement=48,dn(\"StructArrayLayout6i11ui1ul2f48\",ua);var ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Zn);ha.prototype.bytesPerElement=4,dn(\"StructArrayLayout1f4\",ha);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=3*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,t},e}(Zn);fa.prototype.bytesPerElement=6,dn(\"StructArrayLayout3i6\",fa);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=2*t,i=4*t;return this.uint32[a+0]=e,this.uint16[i+2]=r,this.uint16[i+3]=n,t},e}(Zn);pa.prototype.bytesPerElement=8,dn(\"StructArrayLayout1ul2ui8\",pa);var da=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=3*t;return this.uint16[a+0]=e,this.uint16[a+1]=r,this.uint16[a+2]=n,t},e}(Zn);da.prototype.bytesPerElement=6,dn(\"StructArrayLayout3ui6\",da);var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Zn);ga.prototype.bytesPerElement=4,dn(\"StructArrayLayout2ui4\",ga);var va=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Zn);va.prototype.bytesPerElement=2,dn(\"StructArrayLayout1ui2\",va);var ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Zn);ma.prototype.bytesPerElement=8,dn(\"StructArrayLayout2f8\",ma);var ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=4*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,this.float32[i+3]=a,t},e}(Zn);ya.prototype.bytesPerElement=16,dn(\"StructArrayLayout4f16\",ya);var xa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},radius:{configurable:!0},signedDistanceFromAnchor:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointX.set=function(t){this._structArray.int16[this._pos2+0]=t},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.anchorPointY.set=function(t){this._structArray.int16[this._pos2+1]=t},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.x1.set=function(t){this._structArray.int16[this._pos2+2]=t},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.y1.set=function(t){this._structArray.int16[this._pos2+3]=t},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.x2.set=function(t){this._structArray.int16[this._pos2+4]=t},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.y2.set=function(t){this._structArray.int16[this._pos2+5]=t},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.featureIndex.set=function(t){this._structArray.uint32[this._pos4+3]=t},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.sourceLayerIndex.set=function(t){this._structArray.uint16[this._pos2+8]=t},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.bucketIndex.set=function(t){this._structArray.uint16[this._pos2+9]=t},r.radius.get=function(){return this._structArray.int16[this._pos2+10]},r.radius.set=function(t){this._structArray.int16[this._pos2+10]=t},r.signedDistanceFromAnchor.get=function(){return this._structArray.int16[this._pos2+11]},r.signedDistanceFromAnchor.set=function(t){this._structArray.int16[this._pos2+11]=t},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Xn);xa.prototype.size=24;var ba=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new xa(this,t)},e}(oa);dn(\"CollisionBoxArray\",ba);var _a=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorX.set=function(t){this._structArray.int16[this._pos2+0]=t},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.anchorY.set=function(t){this._structArray.int16[this._pos2+1]=t},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.glyphStartIndex.set=function(t){this._structArray.uint16[this._pos2+2]=t},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.numGlyphs.set=function(t){this._structArray.uint16[this._pos2+3]=t},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.vertexStartIndex.set=function(t){this._structArray.uint32[this._pos4+2]=t},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineStartIndex.set=function(t){this._structArray.uint32[this._pos4+3]=t},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.lineLength.set=function(t){this._structArray.uint32[this._pos4+4]=t},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.segment.set=function(t){this._structArray.uint16[this._pos2+10]=t},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.lowerSize.set=function(t){this._structArray.uint16[this._pos2+11]=t},r.upperSize.get=function(){return 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i=this.zoomInPaintVertexArray,o=this.zoomOutPaintVertexArray,s=this.layerId;if(a&&r.patterns&&r.patterns[s]){var l=r.patterns[s],c=l.min,u=l.mid,h=l.max,f=a[c],p=a[u],d=a[h];if(!f||!p||!d)return;for(var g=t;g<e;g++)i.emplace(g,p.tl[0],p.tl[1],p.br[0],p.br[1],f.tl[0],f.tl[1],f.br[0],f.br[1]),o.emplace(g,p.tl[0],p.tl[1],p.br[0],p.br[1],d.tl[0],d.tl[1],d.br[0],d.br[1])}},Ja.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Ja.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()},Ja.prototype.setUniforms=function(t,e){e.set(0)},Ja.prototype.getBinding=function(t,e){return new Ba(t,e)};var Ka=function(){this.binders={},this.cacheKey=\"\",this._buffers=[],this._featureMap=new Ia,this._bufferOffset=0};Ka.createDynamic=function(t,e,r){var n=new Ka,a=[];for(var i in t.paint._values)if(r(i)){var o=t.paint.get(i);if(o instanceof Bn&&ur(o.property.specification)){var s=$a(i,t.type),l=o.property.specification.type,c=o.property.useIntegerZoom;if(\"cross-faded\"===o.property.specification[\"property-type\"]||\"cross-faded-data-driven\"===o.property.specification[\"property-type\"])if(\"constant\"===o.value.kind)n.binders[i]=new Wa(o.value.value,s,l),a.push(\"/u_\"+i);else{var u=ti(i,l,\"source\");n.binders[i]=new Ja(o.value,s,l,c,e,u,t.id),a.push(\"/a_\"+i)}else if(\"constant\"===o.value.kind)n.binders[i]=new Ya(o.value.value,s,l),a.push(\"/u_\"+i);else if(\"source\"===o.value.kind){var h=ti(i,l,\"source\");n.binders[i]=new Xa(o.value,s,l,h),a.push(\"/a_\"+i)}else{var f=ti(i,l,\"composite\");n.binders[i]=new Za(o.value,s,l,c,e,f),a.push(\"/z_\"+i)}}}return n.cacheKey=a.sort().join(\"\"),n},Ka.prototype.populatePaintArrays=function(t,e,r,n,a){for(var i in this.binders)this.binders[i].populatePaintArray(t,e,n,a);void 0!==e.id&&this._featureMap.add(+e.id,r,this._bufferOffset,t),this._bufferOffset=t},Ka.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders)this.binders[r].setConstantPatternPositions(t,e)},Ka.prototype.updatePaintArrays=function(t,e,r,n){var a=!1;for(var i in t)for(var o=0,s=this._featureMap.getPositions(+i);o<s.length;o+=1){var l=s[o],c=e.feature(l.index);for(var u in this.binders){var h=this.binders[u];if(!(h instanceof Ya||h instanceof Wa)&&!0===h.expression.isStateDependent){var f=r.paint.get(u);h.expression=f.value,h.updatePaintArray(l.start,l.end,c,t[i],n),a=!0}}}return a},Ka.prototype.defines=function(){var t=[];for(var e in this.binders)t.push.apply(t,this.binders[e].defines());return t},Ka.prototype.getPaintVertexBuffers=function(){return this._buffers},Ka.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders)for(var a=this.binders[n],i=0,o=a.uniformNames;i<o.length;i+=1){var s=o[i];if(e[s]){var l=a.getBinding(t,e[s]);r.push({name:s,property:n,binding:l})}}return r},Ka.prototype.setUniforms=function(t,e,r,n){for(var a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniforms(t,c,n,r.get(l),s)}},Ka.prototype.updatePatternPaintBuffers=function(t){var e=[];for(var r in this.binders){var n=this.binders[r];if(n instanceof Ja){var a=2===t.fromScale?n.zoomInPaintVertexBuffer:n.zoomOutPaintVertexBuffer;a&&e.push(a)}else(n instanceof Xa||n instanceof Za)&&n.paintVertexBuffer&&e.push(n.paintVertexBuffer)}this._buffers=e},Ka.prototype.upload=function(t){for(var e in this.binders)this.binders[e].upload(t);var r=[];for(var n in this.binders){var a=this.binders[n];(a instanceof Xa||a instanceof Za)&&a.paintVertexBuffer&&r.push(a.paintVertexBuffer)}this._buffers=r},Ka.prototype.destroy=function(){for(var t in this.binders)this.binders[t].destroy()};var Qa=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var a=0,i=e;a<i.length;a+=1){var o=i[a];this.programConfigurations[o.id]=Ka.createDynamic(o,r,n),this.programConfigurations[o.id].layoutAttributes=t}this.needsUpload=!1};function $a(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function ti(t,e,r){var n={color:{source:ma,composite:ya},number:{source:ha,composite:ma}},a=function(t){return{\"line-pattern\":{source:ra,composite:ra},\"fill-pattern\":{source:ra,composite:ra},\"fill-extrusion-pattern\":{source:ra,composite:ra}}[t]}(t);return a&&a[r]||n[e][r]}Qa.prototype.populatePaintArrays=function(t,e,r,n,a){for(var i in this.programConfigurations)this.programConfigurations[i].populatePaintArrays(t,e,r,n,a);this.needsUpload=!0},Qa.prototype.updatePaintArrays=function(t,e,r,n){for(var a=0,i=r;a<i.length;a+=1){var o=i[a];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,e,o,n)||this.needsUpload}},Qa.prototype.get=function(t){return this.programConfigurations[t]},Qa.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Qa.prototype.destroy=function(){for(var t in 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t.id}),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Qn,this.indexArray=new da,this.segments=new Oa,this.programConfigurations=new Qa(Pa,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};function oi(t,e){for(var r=0;r<t.length;r++)if(gi(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(gi(t,e[n]))return!0;return!!ui(t,e)}function si(t,e,r){return!!gi(t,e)||!!fi(e,t,r)}function li(t,e){if(1===t.length)return di(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],a=0;a<n.length;a++)if(gi(t,n[a]))return!0;for(var i=0;i<t.length;i++)if(di(e,t[i]))return!0;for(var o=0;o<e.length;o++)if(ui(t,e[o]))return!0;return!1}function ci(t,e,r){if(t.length>1){if(ui(t,e))return!0;for(var n=0;n<e.length;n++)if(fi(e[n],t,r))return!0}for(var a=0;a<t.length;a++)if(fi(t[a],e,r))return!0;return!1}function ui(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var n=t[r],a=t[r+1],i=0;i<e.length-1;i++)if(hi(n,a,e[i],e[i+1]))return!0;return!1}function hi(t,e,r,n){return k(t,r,n)!==k(e,r,n)&&k(t,e,r)!==k(t,e,n)}function fi(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var a=1;a<e.length;a++)if(pi(t,e[a-1],e[a])<n)return!0;return!1}function pi(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var a=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return a<0?t.distSqr(e):a>1?t.distSqr(r):t.distSqr(r.sub(e)._mult(a)._add(e))}function di(t,e){for(var r,n,a,i=!1,o=0;o<t.length;o++)for(var s=0,l=(r=t[o]).length-1;s<r.length;l=s++)n=r[s],a=r[l],n.y>e.y!=a.y>e.y&&e.x<(a.x-n.x)*(e.y-n.y)/(a.y-n.y)+n.x&&(i=!i);return i}function gi(t,e){for(var r=!1,n=0,a=t.length-1;n<t.length;a=n++){var i=t[n],o=t[a];i.y>e.y!=o.y>e.y&&e.x<(o.x-i.x)*(e.y-i.y)/(o.y-i.y)+i.x&&(r=!r)}return r}function vi(t,e,r){var n=r[0],a=r[2];if(t.x<n.x&&e.x<n.x||t.x>a.x&&e.x>a.x||t.y<n.y&&e.y<n.y||t.y>a.y&&e.y>a.y)return!1;var i=k(t,e,r[0]);return i!==k(t,e,r[1])||i!==k(t,e,r[2])||i!==k(t,e,r[3])}function mi(t,e,r){var n=e.paint.get(t).value;return\"constant\"===n.kind?n.value:r.programConfigurations.get(e.id).binders[t].maxValue}function yi(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function xi(t,e,r,n,i){if(!e[0]&&!e[1])return t;var o=a.convert(e)._mult(i);\"viewport\"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++){var c=t[l];s.push(c.sub(o))}return s}ii.prototype.populate=function(t,e){var r=this.layers[0],n=[],a=null;\"circle\"===r.type&&(a=r.layout.get(\"circle-sort-key\"));for(var i=0,o=t;i<o.length;i+=1){var s=o[i],l=s.feature,c=s.index,u=s.sourceLayerIndex;if(this.layers[0]._featureFilter(new Pn(this.zoom),l)){var h=ni(l),f=a?a.evaluate(l,{}):void 0,p={id:l.id,properties:l.properties,type:l.type,sourceLayerIndex:u,index:c,geometry:h,patterns:{},sortKey:f};n.push(p)}}a&&n.sort(function(t,e){return t.sortKey-e.sortKey});for(var d=0,g=n;d<g.length;d+=1){var v=g[d],m=v,y=m.geometry,x=m.index,b=m.sourceLayerIndex,_=t[x].feature;this.addFeature(v,y,x),e.featureIndex.insert(_,y,x,b,this.index)}},ii.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},ii.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},ii.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},ii.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Pa),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},ii.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},ii.prototype.addFeature=function(t,e,r){for(var n=0,a=e;n<a.length;n+=1)for(var i=0,o=a[n];i<o.length;i+=1){var s=o[i],l=s.x,c=s.y;if(!(l<0||l>=ei||c<0||c>=ei)){var u=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,t.sortKey),h=u.vertexLength;ai(this.layoutVertexArray,l,c,-1,-1),ai(this.layoutVertexArray,l,c,1,-1),ai(this.layoutVertexArray,l,c,1,1),ai(this.layoutVertexArray,l,c,-1,1),this.indexArray.emplaceBack(h,h+1,h+2),this.indexArray.emplaceBack(h,h+3,h+2),u.vertexLength+=4,u.primitiveLength+=2}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,{})},dn(\"CircleBucket\",ii,{omit:[\"layers\"]});var bi,_i=new Gn({\"circle-sort-key\":new Vn(Tt.layout_circle[\"circle-sort-key\"])}),wi={paint:new Gn({\"circle-radius\":new Vn(Tt.paint_circle[\"circle-radius\"]),\"circle-color\":new Vn(Tt.paint_circle[\"circle-color\"]),\"circle-blur\":new Vn(Tt.paint_circle[\"circle-blur\"]),\"circle-opacity\":new Vn(Tt.paint_circle[\"circle-opacity\"]),\"circle-translate\":new jn(Tt.paint_circle[\"circle-translate\"]),\"circle-translate-anchor\":new 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new ii(t)},e.prototype.queryRadius=function(t){var e=t;return mi(\"circle-radius\",this,e)+mi(\"circle-stroke-width\",this,e)+yi(this.paint.get(\"circle-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,i,o,s){for(var l=xi(t,this.paint.get(\"circle-translate\"),this.paint.get(\"circle-translate-anchor\"),i.angle,o),c=this.paint.get(\"circle-radius\").evaluate(e,r)+this.paint.get(\"circle-stroke-width\").evaluate(e,r),u=\"map\"===this.paint.get(\"circle-pitch-alignment\"),h=u?l:function(t,e){return l.map(function(t){return Ai(t,e)})}(0,s),f=u?c*o:c,p=0,d=n;p<d.length;p+=1)for(var g=0,v=d[p];g<v.length;g+=1){var 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i=Ei({},{width:n,height:a},r);Ci(t,i,{x:0,y:0},{x:0,y:0},{width:Math.min(t.width,n),height:Math.min(t.height,a)},r),t.width=n,t.height=a,t.data=i.data}}function Ci(t,e,r,n,a,i){if(0===a.width||0===a.height)return e;if(a.width>t.width||a.height>t.height||r.x>t.width-a.width||r.y>t.height-a.height)throw new RangeError(\"out of range source coordinates for image copy\");if(a.width>e.width||a.height>e.height||n.x>e.width-a.width||n.y>e.height-a.height)throw new RangeError(\"out of range destination coordinates for image copy\");for(var o=t.data,s=e.data,l=0;l<a.height;l++)for(var c=((r.y+l)*t.width+r.x)*i,u=((n.y+l)*e.width+n.x)*i,h=0;h<a.width*i;h++)s[u+h]=o[c+h];return e}dn(\"HeatmapBucket\",Si,{omit:[\"layers\"]});var Pi=function(t,e){Ei(this,t,1,e)};Pi.prototype.resize=function(t){Li(this,t,1)},Pi.prototype.clone=function(){return new Pi({width:this.width,height:this.height},new Uint8Array(this.data))},Pi.copy=function(t,e,r,n,a){Ci(t,e,r,n,a,1)};var Oi=function(t,e){Ei(this,t,4,e)};Oi.prototype.resize=function(t){Li(this,t,4)},Oi.prototype.replace=function(t,e){e?this.data.set(t):t instanceof Uint8ClampedArray?this.data=new Uint8Array(t.buffer):this.data=t},Oi.prototype.clone=function(){return new Oi({width:this.width,height:this.height},new Uint8Array(this.data))},Oi.copy=function(t,e,r,n,a){Ci(t,e,r,n,a,4)},dn(\"AlphaImage\",Pi),dn(\"RGBAImage\",Oi);var zi={paint:new Gn({\"heatmap-radius\":new Vn(Tt.paint_heatmap[\"heatmap-radius\"]),\"heatmap-weight\":new Vn(Tt.paint_heatmap[\"heatmap-weight\"]),\"heatmap-intensity\":new jn(Tt.paint_heatmap[\"heatmap-intensity\"]),\"heatmap-color\":new Hn(Tt.paint_heatmap[\"heatmap-color\"]),\"heatmap-opacity\":new jn(Tt.paint_heatmap[\"heatmap-opacity\"])})};function Ii(t,e){for(var r=new Uint8Array(1024),n={},a=0,i=0;a<256;a++,i+=4){n[e]=a/255;var o=t.evaluate(n);r[i+0]=Math.floor(255*o.r/o.a),r[i+1]=Math.floor(255*o.g/o.a),r[i+2]=Math.floor(255*o.b/o.a),r[i+3]=Math.floor(255*o.a)}return new 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c=t.readVarint();n=7&c,i=c>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},So.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,a=0,i=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(a+=t.readSVarint())<o&&(o=a),a>s&&(s=a),(i+=t.readSVarint())<l&&(l=i),i>c&&(c=i);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},So.prototype.toGeoJSON=function(t,e,r){var n,a,i=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=So.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/i;t[e]=[360*(r.x+o)/i-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var h=[];for(n=0;n<l.length;n++)h[n]=l[n][0];u(l=h);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,a=[],i=0;i<e;i++){var o=Lo(t[i]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&a.push(r),r=[t[i]]):r.push(t[i]))}return r&&a.push(r),a}(l),n=0;n<l.length;n++)for(a=0;a<l[n].length;a++)u(l[n][a])}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(f.id=this.id),f};var Co=Po;function Po(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Oo,this,e),this.length=this._features.length}function Oo(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function zo(t,e,r){if(3===t){var n=new Co(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Po.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Ao(this._pbf,e,this.extent,this._keys,this._values)};var Io={VectorTile:function(t,e){this.layers=t.readFields(zo,{},e)},VectorTileFeature:Ao,VectorTileLayer:Co},Do=Io.VectorTileFeature.types,Ro=Math.pow(2,13);function Fo(t,e,r,n,a,i,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ro)+o,a*Ro*2,i*Ro*2,Math.round(s))}var Bo=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ta,this.indexArray=new da,this.programConfigurations=new Qa(Mo,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};function No(t,e){return t.x===e.x&&(t.x<0||t.x>ei)||t.y===e.y&&(t.y<0||t.y>ei)}function jo(t){return t.every(function(t){return t.x<0})||t.every(function(t){return t.x>ei})||t.every(function(t){return t.y<0})||t.every(function(t){return t.y>ei})}Bo.prototype.populate=function(t,e){this.features=[],this.hasPattern=xo(\"fill-extrusion\",this.layers,e);for(var r=0,n=t;r<n.length;r+=1){var a=n[r],i=a.feature,o=a.index,s=a.sourceLayerIndex;if(this.layers[0]._featureFilter(new Pn(this.zoom),i)){var l=ni(i),c={sourceLayerIndex:s,index:o,geometry:l,properties:i.properties,type:i.type,patterns:{}};void 0!==i.id&&(c.id=i.id),this.hasPattern?this.features.push(bo(\"fill-extrusion\",this.layers,c,this.zoom,e)):this.addFeature(c,l,o,{}),e.featureIndex.insert(i,l,o,s,this.index,!0)}}},Bo.prototype.addFeatures=function(t,e){for(var r=0,n=this.features;r<n.length;r+=1){var a=n[r],i=a.geometry;this.addFeature(a,i,a.index,e)}},Bo.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Bo.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Bo.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Bo.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Mo),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Bo.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Bo.prototype.addFeature=function(t,e,r,n){for(var a=0,i=mo(e,500);a<i.length;a+=1){for(var o=i[a],s=0,l=0,c=o;l<c.length;l+=1)s+=c[l].length;for(var u=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,f=o;h<f.length;h+=1){var p=f[h];if(0!==p.length&&!jo(p))for(var d=0,g=0;g<p.length;g++){var v=p[g];if(g>=1){var m=p[g-1];if(!No(v,m)){u.vertexLength+4>Oa.MAX_VERTEX_ARRAY_LENGTH&&(u=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var y=v.sub(m)._perp()._unit(),x=m.dist(v);d+x>32768&&(d=0),Fo(this.layoutVertexArray,v.x,v.y,y.x,y.y,0,0,d),Fo(this.layoutVertexArray,v.x,v.y,y.x,y.y,0,1,d),d+=x,Fo(this.layoutVertexArray,m.x,m.y,y.x,y.y,0,0,d),Fo(this.layoutVertexArray,m.x,m.y,y.x,y.y,0,1,d);var b=u.vertexLength;this.indexArray.emplaceBack(b,b+2,b+1),this.indexArray.emplaceBack(b+1,b+2,b+3),u.vertexLength+=4,u.primitiveLength+=2}}}}if(u.vertexLength+s>Oa.MAX_VERTEX_ARRAY_LENGTH&&(u=this.segments.prepareSegment(s,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Do[t.type]){for(var _=[],w=[],k=u.vertexLength,T=0,M=o;T<M.length;T+=1){var A=M[T];if(0!==A.length){A!==o[0]&&w.push(_.length/2);for(var S=0;S<A.length;S++){var E=A[S];Fo(this.layoutVertexArray,E.x,E.y,0,0,1,1,0),_.push(E.x),_.push(E.y)}}}for(var L=Ni(_,w),C=0;C<L.length;C+=3)this.indexArray.emplaceBack(k+L[C],k+L[C+2],k+L[C+1]);u.primitiveLength+=L.length/3,u.vertexLength+=s}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,n)},dn(\"FillExtrusionBucket\",Bo,{omit:[\"layers\",\"features\"]});var Vo={paint:new Gn({\"fill-extrusion-opacity\":new jn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Vn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new jn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new jn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Un(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Vn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Vn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new jn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Uo=function(t){function e(e){t.call(this,e,Vo)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Bo(t)},e.prototype.queryRadius=function(){return yi(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var c=xi(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),f=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,0,1];Ti(c,c,e),i.push(new a(c[0]/c[3],c[1]/c[3]))}return i}(c,l),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,v=t;g<v.length;g+=1){for(var m=[],y=[],x=0,b=v[g];x<b.length;x+=1){var _=b[x],w=_.x,k=_.y,T=n[0]*w+n[4]*k+n[12],M=n[1]*w+n[5]*k+n[13],A=n[2]*w+n[6]*k+n[14],S=n[3]*w+n[7]*k+n[15],E=A+c,L=S+u,C=T+h,P=M+f,O=A+p,z=S+d,I=new a((T+s)/L,(M+l)/L);I.z=E/L,m.push(I);var D=new a(C/z,P/z);D.z=O/z,y.push(D)}i.push(m),o.push(y)}return[i,o]}(n,h,u,l);return function(t,e,r){var n=1/0;li(r,e)&&(n=Ho(r,e[0]));for(var a=0;a<e.length;a++)for(var i=e[a],o=t[a],s=0;s<i.length-1;s++){var l=i[s],c=i[s+1],u=o[s],h=[l,c,o[s+1],u,l];oi(r,h)&&(n=Math.min(n,Ho(r,h)))}return n!==1/0&&n}(p[0],p[1],f)},e}(Yn);function qo(t,e){return t.x*e.x+t.y*e.y}function Ho(t,e){if(1===t.length){var r=e[0],n=e[1],a=e[3],i=t[0],o=n.sub(r),s=a.sub(r),l=i.sub(r),c=qo(o,o),u=qo(o,s),h=qo(s,s),f=qo(l,o),p=qo(l,s),d=c*h-u*u,g=(h*f-u*p)/d,v=(c*p-u*f)/d,m=1-g-v;return r.z*m+n.z*g+a.z*v}for(var y=1/0,x=0,b=e;x<b.length;x+=1){var _=b[x];y=Math.min(y,_.z)}return y}var Go=Jn([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Yo=Io.VectorTileFeature.types,Wo=Math.cos(Math.PI/180*37.5),Xo=Math.pow(2,14)/.5,Zo=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new ea,this.indexArray=new da,this.programConfigurations=new Qa(Go,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};Zo.prototype.populate=function(t,e){this.hasPattern=xo(\"line\",this.layers,e);for(var r=this.layers[0].layout.get(\"line-sort-key\"),n=[],a=0,i=t;a<i.length;a+=1){var o=i[a],s=o.feature,l=o.index,c=o.sourceLayerIndex;if(this.layers[0]._featureFilter(new Pn(this.zoom),s)){var u=ni(s),h=r?r.evaluate(s,{}):void 0,f={id:s.id,properties:s.properties,type:s.type,sourceLayerIndex:c,index:l,geometry:u,patterns:{},sortKey:h};n.push(f)}}r&&n.sort(function(t,e){return t.sortKey-e.sortKey});for(var p=0,d=n;p<d.length;p+=1){var g=d[p],v=g,m=v.geometry,y=v.index,x=v.sourceLayerIndex;if(this.hasPattern){var b=bo(\"line\",this.layers,g,this.zoom,e);this.patternFeatures.push(b)}else this.addFeature(g,m,y,{});var _=t[y].feature;e.featureIndex.insert(_,m,y,x,this.index)}},Zo.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Zo.prototype.addFeatures=function(t,e){for(var r=0,n=this.patternFeatures;r<n.length;r+=1){var a=n[r];this.addFeature(a,a.geometry,a.index,e)}},Zo.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Zo.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Zo.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Go),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Zo.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Zo.prototype.addFeature=function(t,e,r,n){for(var a=this.layers[0].layout,i=a.get(\"line-join\").evaluate(t,{}),o=a.get(\"line-cap\"),s=a.get(\"line-miter-limit\"),l=a.get(\"line-round-limit\"),c=0,u=e;c<u.length;c+=1){var h=u[c];this.addLine(h,t,i,o,s,l,r,n)}},Zo.prototype.addLine=function(t,e,r,n,a,i,o,s){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var l=0;l<t.length-1;l++)this.totalDistance+=t[l].dist(t[l+1])}for(var c=\"Polygon\"===Yo[e.type],u=t.length;u>=2&&t[u-1].equals(t[u-2]);)u--;for(var h=0;h<u-1&&t[h].equals(t[h+1]);)h++;if(!(u<(c?3:2))){\"bevel\"===r&&(a=1.05);var f,p=ei/(512*this.overscaling)*15,d=this.segments.prepareSegment(10*u,this.layoutVertexArray,this.indexArray),g=void 0,v=void 0,m=void 0,y=void 0;this.e1=this.e2=-1,c&&(f=t[u-2],y=t[h].sub(f)._unit()._perp());for(var x=h;x<u;x++)if(!(v=c&&x===u-1?t[h+1]:t[x+1])||!t[x].equals(v)){y&&(m=y),f&&(g=f),f=t[x],y=v?v.sub(f)._unit()._perp():m;var b=(m=m||y).add(y);0===b.x&&0===b.y||b._unit();var _=m.x*y.x+m.y*y.y,w=b.x*y.x+b.y*y.y,k=0!==w?1/w:1/0,T=2*Math.sqrt(2-2*w),M=w<Wo&&g&&v,A=m.x*y.y-m.y*y.x>0;if(M&&x>h){var S=f.dist(g);if(S>2*p){var E=f.sub(f.sub(g)._mult(p/S)._round());this.updateDistance(g,E),this.addCurrentVertex(E,m,0,0,d),g=E}}var L=g&&v,C=L?r:c?\"butt\":n;if(L&&\"round\"===C&&(k<i?C=\"miter\":k<=2&&(C=\"fakeround\")),\"miter\"===C&&k>a&&(C=\"bevel\"),\"bevel\"===C&&(k>2&&(C=\"flipbevel\"),k<a&&(C=\"miter\")),g&&this.updateDistance(g,f),\"miter\"===C)b._mult(k),this.addCurrentVertex(f,b,0,0,d);else if(\"flipbevel\"===C){if(k>100)b=y.mult(-1);else{var P=k*m.add(y).mag()/m.sub(y).mag();b._perp()._mult(P*(A?-1:1))}this.addCurrentVertex(f,b,0,0,d),this.addCurrentVertex(f,b.mult(-1),0,0,d)}else if(\"bevel\"===C||\"fakeround\"===C){var O=-Math.sqrt(k*k-1),z=A?O:0,I=A?0:O;if(g&&this.addCurrentVertex(f,m,z,I,d),\"fakeround\"===C)for(var D=Math.round(180*T/Math.PI/20),R=1;R<D;R++){var F=R/D;if(.5!==F){var B=F-.5;F+=F*B*(F-1)*((1.0904+_*(_*(3.55645-1.43519*_)-3.2452))*B*B+(.848013+_*(.215638*_-1.06021)))}var N=y.sub(m)._mult(F)._add(m)._unit()._mult(A?-1:1);this.addHalfVertex(f,N.x,N.y,!1,A,0,d)}v&&this.addCurrentVertex(f,y,-z,-I,d)}else if(\"butt\"===C)this.addCurrentVertex(f,b,0,0,d);else if(\"square\"===C){var j=g?1:-1;this.addCurrentVertex(f,b,j,j,d)}else\"round\"===C&&(g&&(this.addCurrentVertex(f,m,0,0,d),this.addCurrentVertex(f,m,1,1,d,!0)),v&&(this.addCurrentVertex(f,y,-1,-1,d,!0),this.addCurrentVertex(f,y,0,0,d)));if(M&&x<u-1){var V=f.dist(v);if(V>2*p){var U=f.add(v.sub(f)._mult(p/V)._round());this.updateDistance(f,U),this.addCurrentVertex(U,y,0,0,d),f=U}}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,e,o,s)}},Zo.prototype.addCurrentVertex=function(t,e,r,n,a,i){void 0===i&&(i=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,i,!1,r,a),this.addHalfVertex(t,l,c,i,!0,-n,a),this.distance>Xo/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,a,i))},Zo.prototype.addHalfVertex=function(t,e,r,n,a,i,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(a?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===i?0:i<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),a?this.e2=u:this.e1=u},Zo.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Xo-1):this.distance},dn(\"LineBucket\",Zo,{omit:[\"layers\",\"patternFeatures\"]});var Jo=new Gn({\"line-cap\":new jn(Tt.layout_line[\"line-cap\"]),\"line-join\":new Vn(Tt.layout_line[\"line-join\"]),\"line-miter-limit\":new jn(Tt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new jn(Tt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Vn(Tt.layout_line[\"line-sort-key\"])}),Ko={paint:new Gn({\"line-opacity\":new Vn(Tt.paint_line[\"line-opacity\"]),\"line-color\":new Vn(Tt.paint_line[\"line-color\"]),\"line-translate\":new jn(Tt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new jn(Tt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Vn(Tt.paint_line[\"line-width\"]),\"line-gap-width\":new Vn(Tt.paint_line[\"line-gap-width\"]),\"line-offset\":new Vn(Tt.paint_line[\"line-offset\"]),\"line-blur\":new Vn(Tt.paint_line[\"line-blur\"]),\"line-dasharray\":new qn(Tt.paint_line[\"line-dasharray\"]),\"line-pattern\":new Un(Tt.paint_line[\"line-pattern\"]),\"line-gradient\":new Hn(Tt.paint_line[\"line-gradient\"])}),layout:Jo},Qo=new(function(t){function e(){t.apply(this,arguments)}return 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t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Ii(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e){t.prototype.recalculate.call(this,e),this.paint._values[\"line-floorwidth\"]=Qo.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new Zo(t)},e.prototype.queryRadius=function(t){var e=t,r=ts(mi(\"line-width\",this,e),mi(\"line-gap-width\",this,e)),n=mi(\"line-offset\",this,e);return r/2+Math.abs(n)+yi(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s){var l=xi(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),c=s/2*ts(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),u=this.paint.get(\"line-offset\").evaluate(e,r);return u&&(n=function(t,e){for(var r=[],n=new a(0,0),i=0;i<t.length;i++){for(var o=t[i],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],h=o[l+1],f=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:h.sub(u)._unit()._perp(),d=f._add(p)._unit(),g=d.x*p.x+d.y*p.y;d._mult(1/g),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var a=e[n];if(t.length>=3)for(var i=0;i<a.length;i++)if(gi(t,a[i]))return!0;if(ci(t,a,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Yn);function ts(t,e){return e>0?e+2*t:t}var 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os(t,e,r){return t.sections.forEach(function(t){t.text=function(t,e,r){var 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hs(t,e,r,n,a,i,o,s,l,c,u){var h,f=us.fromFeature(t,r);c===cs.vertical&&f.verticalizePunctuation();var p=Cn.processBidirectionalText,d=Cn.processStyledBidirectionalText;if(p&&1===f.sections.length){h=[];for(var g=0,v=p(f.toString(),ms(f,s,n,e));g<v.length;g+=1){var m=v[g],y=new us;y.text=m,y.sections=f.sections;for(var x=0;x<m.length;x++)y.sectionIndex.push(0);h.push(y)}}else if(d){h=[];for(var b=0,_=d(f.text,f.sectionIndex,ms(f,s,n,e));b<_.length;b+=1){var w=_[b],k=new us;k.text=w[0],k.sectionIndex=w[1],k.sections=f.sections,h.push(k)}}else h=function(t,e){for(var r=[],n=t.text,a=0,i=0,o=e;i<o.length;i+=1){var s=o[i];r.push(t.substring(a,s)),a=s}return a<n.length&&r.push(t.substring(a,n.length)),r}(f,ms(f,s,n,e));var T=[],M={positionedGlyphs:T,text:f.toString(),top:l[1],bottom:l[1],left:l[0],right:l[0],writingMode:c,lineCount:h.length,yOffset:-17};return function(t,e,r,n,a,i,o,s,l){for(var c=0,u=t.yOffset,h=0,f=t.positionedGlyphs,p=\"right\"===i?1:\"left\"===i?0:.5,d=0,g=r;d<g.length;d+=1){var v=g[d];v.trim();var m=v.getMaxScale();if(v.length()){for(var y=f.length,x=0;x<v.length();x++){var b=v.getSection(x),_=v.getSectionIndex(x),w=v.getCharCode(x),k=24*(m-b.scale),T=e[b.fontStack],M=T&&T[w];M&&(o===cs.horizontal||!l&&!wn(w)||l&&(fs[w]||(S=w,xn.Arabic(S)||xn[\"Arabic Supplement\"](S)||xn[\"Arabic Extended-A\"](S)||xn[\"Arabic Presentation Forms-A\"](S)||xn[\"Arabic Presentation Forms-B\"](S)))?(f.push({glyph:w,x:c,y:u+k,vertical:!1,scale:b.scale,fontStack:b.fontStack,sectionIndex:_}),c+=M.metrics.advance*b.scale+s):(f.push({glyph:w,x:c,y:u+k,vertical:!0,scale:b.scale,fontStack:b.fontStack,sectionIndex:_}),c+=ls*b.scale+s))}if(f.length!==y){var A=c-s;h=Math.max(A,h),xs(f,e,y,f.length-1,p)}c=0,u+=n*m}else u+=n}var S,E=ys(a),L=E.horizontalAlign,C=E.verticalAlign;!function(t,e,r,n,a,i,o){for(var s=(e-r)*a,l=(-n*o+.5)*i,c=0;c<t.length;c++)t[c].x+=s,t[c].y+=l}(f,p,L,C,h,n,r.length);var P=u-t.yOffset;t.top+=-C*P,t.bottom=t.top+P,t.left+=-L*h,t.right=t.left+h}(M,e,h,a,i,o,c,s,u),!!T.length&&M}us.fromFeature=function(t,e){for(var r=new us,n=0;n<t.sections.length;n++){var a=t.sections[n];r.sections.push({scale:a.scale||1,fontStack:a.fontStack||e}),r.text+=a.text;for(var i=0;i<a.text.length;i++)r.sectionIndex.push(n)}return r},us.prototype.length=function(){return this.text.length},us.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},us.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},us.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},us.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,a=t.charCodeAt(r-1)||null;n&&kn(n)&&!ss[t[r+1]]||a&&kn(a)&&!ss[t[r-1]]||!ss[t[r]]?e+=t[r]:e+=ss[t[r]]}return 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s=n[i],l=n[o];return\"composite\"===r.kind?{kind:\"composite\",minZoom:s,maxZoom:l,interpolationType:a}:{kind:\"camera\",minZoom:s,maxZoom:l,minSize:r.evaluate(new Pn(s)),maxSize:r.evaluate(new Pn(l)),interpolationType:a}}function ks(t,e,r){var n=e.uSize,a=e.uSizeT,i=r.lowerSize,o=r.upperSize;return\"source\"===t.kind?i/_s:\"composite\"===t.kind?ye(i/_s,o/_s,a):n}function Ts(t,e){var r=0,n=0;if(\"constant\"===t.kind)n=t.layoutSize;else if(\"source\"!==t.kind){var a=t.interpolationType,i=t.minZoom,o=t.maxZoom,s=a?c(Ne.interpolationFactor(a,e,i,o),0,1):0;\"camera\"===t.kind?n=ye(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Ms=Object.freeze({getSizeData:ws,evaluateSizeForFeature:ks,evaluateSizeForZoom:Ts,SIZE_PACK_FACTOR:_s}),As=Io.VectorTileFeature.types,Ss=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function Es(t,e,r,n,a,i,o,s){t.emplaceBack(e,r,Math.round(32*n),Math.round(32*a),i,o,s?s[0]:0,s?s[1]:0)}function Ls(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}var Cs=function(t){this.layoutVertexArray=new na,this.indexArray=new da,this.programConfigurations=t,this.segments=new Oa,this.dynamicLayoutVertexArray=new aa,this.opacityVertexArray=new ia,this.placedSymbolArray=new wa};Cs.prototype.upload=function(t,e,r,n){r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,es.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,rs.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,Ss,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t)},Cs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},dn(\"SymbolBuffers\",Cs);var Ps=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Oa,this.collisionVertexArray=new la};Ps.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,ns.members,!0)},Ps.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},dn(\"CollisionBuffers\",Ps);var Os=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasPaintOverrides=!1;var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=ws(this.zoom,e[\"text-size\"]),this.iconSizeData=ws(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),a=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==a&&void 0!==n.constantOr(1);var i=\"viewport-y\"===a||\"auto\"===a&&!this.sortFeaturesByKey;this.sortFeaturesByY=i&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map(function(t){return cs[t]})),this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id}),this.sourceID=t.sourceID};Os.prototype.createArrays=function(){var t=this.layers[0].layout;this.hasPaintOverrides=Rs.hasPaintOverrides(t),this.text=new Cs(new Qa(es.members,this.layers,this.zoom,function(t){return/^text/.test(t)})),this.icon=new Cs(new Qa(es.members,this.layers,this.zoom,function(t){return/^icon/.test(t)})),this.collisionBox=new Ps(sa,as.members,ga),this.collisionCircle=new Ps(sa,is.members,da),this.glyphOffsetArray=new Aa,this.lineVertexArray=new Ea,this.symbolInstances=new Ta},Os.prototype.calculateGlyphDependencies=function(t,e,r,n,a){for(var i=0;i<t.length;i++)if(e[t.charCodeAt(i)]=!0,(r||n)&&a){var o=ss[t.charAt(i)];o&&(e[o.charCodeAt(0)]=!0)}},Os.prototype.populate=function(t,e){var r=this.layers[0],n=r.layout,a=n.get(\"text-font\"),i=n.get(\"text-field\"),o=n.get(\"icon-image\"),s=(\"constant\"!==i.value.kind||i.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),l=\"constant\"!==o.value.kind||o.value.value&&o.value.value.length>0,c=n.get(\"symbol-sort-key\");if(this.features=[],s||l){for(var u=e.iconDependencies,h=e.glyphDependencies,f=new Pn(this.zoom),p=0,d=t;p<d.length;p+=1){var g=d[p],v=g.feature,m=g.index,y=g.sourceLayerIndex;if(r._featureFilter(f,v)){var x=void 0;if(s){var b=r.getValueAndResolveTokens(\"text-field\",v);x=os(b instanceof Jt?b:Jt.fromString(b),r,v)}var _=void 0;if(l&&(_=r.getValueAndResolveTokens(\"icon-image\",v)),x||_){var w=this.sortFeaturesByKey?c.evaluate(v,{}):void 0,k={text:x,icon:_,index:m,sourceLayerIndex:y,geometry:ni(v),properties:v.properties,type:As[v.type],sortKey:w};if(void 0!==v.id&&(k.id=v.id),this.features.push(k),_&&(u[_]=!0),x){var T=a.evaluate(v,{}).join(\",\"),M=\"map\"===n.get(\"text-rotation-alignment\")&&\"point\"!==n.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(cs.vertical)>=0;for(var A=0,S=x.sections;A<S.length;A+=1){var E=S[A],L=bn(x.toString()),C=E.fontStack||T,P=h[C]=h[C]||{};this.calculateGlyphDependencies(E.text,P,M,this.allowVerticalPlacement,L)}}}}}\"line\"===n.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],a=0;function i(e){n.push(t[e]),a++}function o(t,e,a){var i=r[t];return delete r[t],r[e]=i,n[i].geometry[0].pop(),n[i].geometry[0]=n[i].geometry[0].concat(a[0]),i}function s(t,r,a){var i=e[r];return delete e[r],e[t]=i,n[i].geometry[0].shift(),n[i].geometry[0]=a[0].concat(n[i].geometry[0]),i}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(f){var p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,h),v=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(f,n[v].geometry,!0)]=v,n[g].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(i(c),e[p]=a-1,r[d]=a-1)}else i(c)}return n.filter(function(t){return t.geometry})}(this.features)),this.sortFeaturesByKey&&this.features.sort(function(t,e){return t.sortKey-e.sortKey})}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Os.prototype.isEmpty=function(){return 0===this.symbolInstances.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.collisionBox.upload(t),this.collisionCircle.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Os.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.collisionBox.destroy(),this.collisionCircle.destroy()},Os.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),a=t.dist(e[t.segment]),i={},o=t.segment+1;o<e.length;o++)i[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)i[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:a},s>0&&(a+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=i[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Os.prototype.addSymbols=function(t,e,r,n,a,i,o,s,l,c){var u=this,h=t.indexArray,f=t.layoutVertexArray,p=t.dynamicLayoutVertexArray,d=t.segments.prepareSegment(4*e.length,t.layoutVertexArray,t.indexArray,i.sortKey),g=this.glyphOffsetArray.length,v=d.vertexLength,m=this.allowVerticalPlacement&&o===cs.vertical?Math.PI/2:0,y=function(t){var e=t.tl,n=t.tr,a=t.bl,i=t.br,o=t.tex,l=d.vertexLength,c=t.glyphOffset[1];Es(f,s.x,s.y,e.x,c+e.y,o.x,o.y,r),Es(f,s.x,s.y,n.x,c+n.y,o.x+o.w,o.y,r),Es(f,s.x,s.y,a.x,c+a.y,o.x,o.y+o.h,r),Es(f,s.x,s.y,i.x,c+i.y,o.x+o.w,o.y+o.h,r),Ls(p,s,m),h.emplaceBack(l,l+1,l+2),h.emplaceBack(l+1,l+2,l+3),d.vertexLength+=4,d.primitiveLength+=2,u.glyphOffsetArray.emplaceBack(t.glyphOffset[0])};if(i.text&&i.text.sections){var x=i.text.sections;if(this.hasPaintOverrides){for(var b,_=function(e,r){void 0===b||b===e&&!r||t.programConfigurations.populatePaintArrays(t.layoutVertexArray.length,i,i.index,{},x[b]),b=e},w=0,k=e;w<k.length;w+=1){var T=k[w];_(T.sectionIndex,!1),y(T)}_(b,!0)}else{for(var M=0,A=e;M<A.length;M+=1)y(A[M]);t.programConfigurations.populatePaintArrays(t.layoutVertexArray.length,i,i.index,{},x[0])}}else{for(var S=0,E=e;S<E.length;S+=1)y(E[S]);t.programConfigurations.populatePaintArrays(t.layoutVertexArray.length,i,i.index,{})}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,v,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0)},Os.prototype._addCollisionDebugVertex=function(t,e,r,n,a,i){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,a,Math.round(i.x),Math.round(i.y))},Os.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s,l){var c=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=c.vertexLength,h=i.layoutVertexArray,f=i.collisionVertexArray,p=s.anchorX,d=s.anchorY;if(this._addCollisionDebugVertex(h,f,o,p,d,new a(t,e)),this._addCollisionDebugVertex(h,f,o,p,d,new a(r,e)),this._addCollisionDebugVertex(h,f,o,p,d,new a(r,n)),this._addCollisionDebugVertex(h,f,o,p,d,new a(t,n)),c.vertexLength+=4,l){var g=i.indexArray;g.emplaceBack(u,u+1,u+2),g.emplaceBack(u,u+2,u+3),c.primitiveLength+=2}else{var v=i.indexArray;v.emplaceBack(u,u+1),v.emplaceBack(u+1,u+2),v.emplaceBack(u+2,u+3),v.emplaceBack(u+3,u),c.primitiveLength+=4}},Os.prototype.addDebugCollisionBoxes=function(t,e,r){for(var n=t;n<e;n++){var a=this.collisionBoxArray.get(n),i=a.x1,o=a.y1,s=a.x2,l=a.y2,c=a.radius>0;this.addCollisionDebugVertices(i,o,s,l,c?this.collisionCircle:this.collisionBox,a.anchorPoint,r,c)}},Os.prototype.generateCollisionDebugBuffers=function(){for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e)}},Os.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,a,i,o){for(var s={},l=e;l<r;l++){var c=t.get(l);if(0===c.radius){s.textBox={x1:c.x1,y1:c.y1,x2:c.x2,y2:c.y2,anchorPointX:c.anchorPointX,anchorPointY:c.anchorPointY},s.textFeatureIndex=c.featureIndex;break}s.textCircles||(s.textCircles=[],s.textFeatureIndex=c.featureIndex),s.textCircles.push(c.anchorPointX,c.anchorPointY,c.radius,c.signedDistanceFromAnchor,1)}for(var u=n;u<a;u++){var h=t.get(u);if(0===h.radius){s.verticalTextBox={x1:h.x1,y1:h.y1,x2:h.x2,y2:h.y2,anchorPointX:h.anchorPointX,anchorPointY:h.anchorPointY},s.verticalTextFeatureIndex=h.featureIndex;break}}for(var f=i;f<o;f++){var p=t.get(f);if(0===p.radius){s.iconBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},s.iconFeatureIndex=p.featureIndex;break}}return s},Os.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex))}},Os.prototype.hasTextData=function(){return this.text.segments.get().length>0},Os.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Os.prototype.hasCollisionBoxData=function(){return this.collisionBox.segments.get().length>0},Os.prototype.hasCollisionCircleData=function(){return this.collisionCircle.segments.get().length>0},Os.prototype.addIndicesForPlacedTextSymbol=function(t){for(var e=this.text.placedSymbolArray.get(t),r=e.vertexStartIndex+4*e.numGlyphs,n=e.vertexStartIndex;n<r;n+=4)this.text.indexArray.emplaceBack(n,n+1,n+2),this.text.indexArray.emplaceBack(n+1,n+2,n+3)},Os.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],a=[],i=[],o=0;o<this.symbolInstances.length;++o){i.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),a.push(s.featureIndex)}return i.sort(function(t,e){return n[t]-n[e]||a[e]-a[t]}),i},Os.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var a=n[r],i=this.symbolInstances.get(a);this.featureSortOrder.push(i.featureIndex),[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach(function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedTextSymbol(t)}),i.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedTextSymbol(i.verticalPlacedTextSymbolIndex);var o=this.icon.placedSymbolArray.get(a);if(o.numGlyphs){var s=o.vertexStartIndex;this.icon.indexArray.emplaceBack(s,s+1,s+2),this.icon.indexArray.emplaceBack(s+1,s+2,s+3)}}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},dn(\"SymbolBucket\",Os,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Os.MAX_GLYPHS=65535,Os.addDynamicAttributes=Ls;var zs=new Gn({\"symbol-placement\":new jn(Tt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new jn(Tt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new jn(Tt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Vn(Tt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new jn(Tt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new jn(Tt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new jn(Tt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new jn(Tt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new jn(Tt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Vn(Tt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new jn(Tt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new jn(Tt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Vn(Tt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Vn(Tt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new jn(Tt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new jn(Tt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Vn(Tt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Vn(Tt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new jn(Tt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new jn(Tt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new jn(Tt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Vn(Tt.layout_symbol[\"text-field\"]),\"text-font\":new Vn(Tt.layout_symbol[\"text-font\"]),\"text-size\":new Vn(Tt.layout_symbol[\"text-size\"]),\"text-max-width\":new Vn(Tt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new jn(Tt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Vn(Tt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Vn(Tt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Vn(Tt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new jn(Tt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Vn(Tt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new jn(Tt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new jn(Tt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Vn(Tt.layout_symbol[\"text-rotate\"]),\"text-padding\":new jn(Tt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new jn(Tt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Vn(Tt.layout_symbol[\"text-transform\"]),\"text-offset\":new Vn(Tt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new jn(Tt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new jn(Tt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new jn(Tt.layout_symbol[\"text-optional\"])}),Is={paint:new Gn({\"icon-opacity\":new Vn(Tt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Vn(Tt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Vn(Tt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Vn(Tt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Vn(Tt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new jn(Tt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new jn(Tt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Vn(Tt.paint_symbol[\"text-opacity\"]),\"text-color\":new Vn(Tt.paint_symbol[\"text-color\"],{runtimeType:Ft,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Vn(Tt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Vn(Tt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Vn(Tt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new jn(Tt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new jn(Tt.paint_symbol[\"text-translate-anchor\"])}),layout:zs},Ds=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:zt,this.defaultValue=t};Ds.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Ds.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Ds.prototype.possibleOutputs=function(){return[void 0]},Ds.prototype.serialize=function(){return null},dn(\"FormatSectionOverride\",Ds,{omit:[\"defaultValue\"]});var Rs=function(t){function e(e){t.call(this,e,Is)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e){if(t.prototype.recalculate.call(this,e),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var r=this.layout.get(\"text-writing-mode\");if(r){for(var n=[],a=0,i=r;a<i.length;a+=1){var o=i[a];n.indexOf(o)<0&&n.push(o)}this.layout._values[\"text-writing-mode\"]=n}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e){var r=this.layout.get(t).evaluate(e,{}),n=this._unevaluatedLayout._values[t];return n.isDataDriven()||wr(n.value)?r:function(t,e){return r.replace(/{([^{}]+)}/g,function(e,r){return r in t?String(t[r]):\"\"})}(e.properties)},e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Is.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var a,i=this.paint.get(n),o=new Ds(i),s=new _r(o,i.property.specification);a=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Tr(\"source\",s):new Mr(\"composite\",s,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new Bn(i.property,a,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=Is.paint.properties[e],a=!1,i=function(t){for(var e=0,r=t;e<r.length;e+=1){var i=r[e];if(n.overrides&&n.overrides.hasOverride(i))return void(a=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof Jt)i(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!a)if(t instanceof te&&Qt(t.value)===Vt){var e=t.value;i(e.sections)}else t instanceof ae?i(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return a},e.hasPaintOverrides=function(t){for(var r=0,n=Is.paint.overridableProperties;r<n.length;r+=1){var a=n[r];if(e.hasPaintOverride(t,a))return!0}return!1},e}(Yn),Fs={paint:new Gn({\"background-color\":new jn(Tt.paint_background[\"background-color\"]),\"background-pattern\":new qn(Tt.paint_background[\"background-pattern\"]),\"background-opacity\":new jn(Tt.paint_background[\"background-opacity\"])})},Bs=function(t){function e(e){t.call(this,e,Fs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yn),Ns={paint:new Gn({\"raster-opacity\":new jn(Tt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new jn(Tt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new jn(Tt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new jn(Tt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new jn(Tt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new jn(Tt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new jn(Tt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new jn(Tt.paint_raster[\"raster-fade-duration\"])})},js=function(t){function e(e){t.call(this,e,Ns)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yn),Vs=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Yn),Us={circle:Mi,heatmap:Di,hillshade:Fi,fill:To,\"fill-extrusion\":Uo,line:$o,symbol:Rs,background:Bs,raster:js};function qs(t){for(var e=0,r=0,n=0,a=t;n<a.length;n+=1){var i=a[n];e+=i.w*i.h,r=Math.max(r,i.w)}t.sort(function(t,e){return e.h-t.h});for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var h=u[c],f=o.length-1;f>=0;f--){var p=o[f];if(!(h.w>p.w||h.h>p.h)){if(h.x=p.x,h.y=p.y,l=Math.max(l,h.y+h.h),s=Math.max(s,h.x+h.w),h.w===p.w&&h.h===p.h){var d=o.pop();f<o.length&&(o[f]=d)}else h.h===p.h?(p.x+=h.w,p.w-=h.w):h.w===p.w?(p.y+=h.h,p.h-=h.h):(o.push({x:p.x+h.w,y:p.y,w:p.w-h.w,h:h.h}),p.y+=h.h,p.h-=h.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var Hs=function(t,e){var r=e.pixelRatio,n=e.version;this.paddedRect=t,this.pixelRatio=r,this.version=n},Gs={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};Gs.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},Gs.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},Gs.tlbr.get=function(){return this.tl.concat(this.br)},Gs.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(Hs.prototype,Gs);var Ys=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var a=[];this.addImages(t,r,a),this.addImages(e,n,a);var i=qs(a),o=i.w,s=i.h,l=new Oi({width:o||1,height:s||1});for(var c in t){var u=t[c],h=r[c].paddedRect;Oi.copy(u.data,l,{x:0,y:0},{x:h.x+1,y:h.y+1},u.data)}for(var f in e){var p=e[f],d=n[f].paddedRect,g=d.x+1,v=d.y+1,m=p.data.width,y=p.data.height;Oi.copy(p.data,l,{x:0,y:0},{x:g,y:v},p.data),Oi.copy(p.data,l,{x:0,y:y-1},{x:g,y:v-1},{width:m,height:1}),Oi.copy(p.data,l,{x:0,y:0},{x:g,y:v+y},{width:m,height:1}),Oi.copy(p.data,l,{x:m-1,y:0},{x:g-1,y:v},{width:1,height:y}),Oi.copy(p.data,l,{x:0,y:0},{x:g+m,y:v},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ys.prototype.addImages=function(t,e,r){for(var n in t){var a=t[n],i={x:0,y:0,w:a.data.width+2,h:a.data.height+2};r.push(i),e[n]=new Hs(i,a),a.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ys.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},Ys.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,a=n[0],i=n[1];r.update(e.data,void 0,{x:a,y:i})}},dn(\"ImagePosition\",Hs),dn(\"ImageAtlas\",Ys);var Ws=self.HTMLImageElement,Xs=self.HTMLCanvasElement,Zs=self.HTMLVideoElement,Js=self.ImageData,Ks=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Ks.prototype.update=function(t,e,r){var n=t.width,a=t.height,i=!(this.size&&this.size[0]===n&&this.size[1]===a||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),i)this.size=[n,a],t instanceof Ws||t instanceof Xs||t instanceof Zs||t instanceof Js?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,a,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Ws||t instanceof Xs||t instanceof Zs||t instanceof Js?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,a,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Ks.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Ks.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Ks.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Qs=function(t,e,r,n,a){var i,o,s=8*a-n-1,l=(1<<s)-1,c=l>>1,u=-7,h=r?a-1:0,f=r?-1:1,p=t[e+h];for(h+=f,i=p&(1<<-u)-1,p>>=-u,u+=s;u>0;i=256*i+t[e+h],h+=f,u-=8);for(o=i&(1<<-u)-1,i>>=-u,u+=n;u>0;o=256*o+t[e+h],h+=f,u-=8);if(0===i)i=1-c;else{if(i===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),i-=c}return(p?-1:1)*o*Math.pow(2,i-n)},$s=function(t,e,r,n,a,i){var o,s,l,c=8*i-a-1,u=(1<<c)-1,h=u>>1,f=23===a?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:i-1,d=n?1:-1,g=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+h>=1?f/l:f*Math.pow(2,1-h))*l>=2&&(o++,l/=2),o+h>=u?(s=0,o=u):o+h>=1?(s=(e*l-1)*Math.pow(2,a),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,a),o=0));a>=8;t[r+p]=255&s,p+=d,s/=256,a-=8);for(o=o<<a|s,c+=a;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*g},tl=el;function el(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new Uint8Array(t||0),this.pos=0,this.type=0,this.length=this.buf.length}function rl(t){return t.type===el.Bytes?t.readVarint()+t.pos:t.pos+1}function nl(t,e,r){return r?4294967296*e+(t>>>0):4294967296*(e>>>0)+(t>>>0)}function al(t,e,r){var n=e<=16383?1:e<=2097151?2:e<=268435455?3:Math.floor(Math.log(e)/(7*Math.LN2));r.realloc(n);for(var a=r.pos-1;a>=t;a--)r.buf[a+n]=r.buf[a]}function il(t,e){for(var r=0;r<t.length;r++)e.writeVarint(t[r])}function ol(t,e){for(var r=0;r<t.length;r++)e.writeSVarint(t[r])}function sl(t,e){for(var r=0;r<t.length;r++)e.writeFloat(t[r])}function ll(t,e){for(var r=0;r<t.length;r++)e.writeDouble(t[r])}function cl(t,e){for(var r=0;r<t.length;r++)e.writeBoolean(t[r])}function ul(t,e){for(var r=0;r<t.length;r++)e.writeFixed32(t[r])}function hl(t,e){for(var r=0;r<t.length;r++)e.writeSFixed32(t[r])}function fl(t,e){for(var r=0;r<t.length;r++)e.writeFixed64(t[r])}function pl(t,e){for(var r=0;r<t.length;r++)e.writeSFixed64(t[r])}function dl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+16777216*t[e+3]}function gl(t,e,r){t[r]=e,t[r+1]=e>>>8,t[r+2]=e>>>16,t[r+3]=e>>>24}function vl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+(t[e+3]<<24)}el.Varint=0,el.Fixed64=1,el.Bytes=2,el.Fixed32=5,el.prototype={destroy:function(){this.buf=null},readFields:function(t,e,r){for(r=r||this.length;this.pos<r;){var n=this.readVarint(),a=n>>3,i=this.pos;this.type=7&n,t(a,e,this),this.pos===i&&this.skip(n)}return e},readMessage:function(t,e){return this.readFields(t,e,this.readVarint()+this.pos)},readFixed32:function(){var t=dl(this.buf,this.pos);return this.pos+=4,t},readSFixed32:function(){var t=vl(this.buf,this.pos);return this.pos+=4,t},readFixed64:function(){var t=dl(this.buf,this.pos)+4294967296*dl(this.buf,this.pos+4);return this.pos+=8,t},readSFixed64:function(){var t=dl(this.buf,this.pos)+4294967296*vl(this.buf,this.pos+4);return this.pos+=8,t},readFloat:function(){var t=Qs(this.buf,this.pos,!0,23,4);return this.pos+=4,t},readDouble:function(){var t=Qs(this.buf,this.pos,!0,52,8);return this.pos+=8,t},readVarint:function(t){var e,r,n=this.buf;return e=127&(r=n[this.pos++]),r<128?e:(e|=(127&(r=n[this.pos++]))<<7,r<128?e:(e|=(127&(r=n[this.pos++]))<<14,r<128?e:(e|=(127&(r=n[this.pos++]))<<21,r<128?e:function(t,e,r){var n,a,i=r.buf;if(n=(112&(a=i[r.pos++]))>>4,a<128)return nl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<3,a<128)return nl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<10,a<128)return nl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<17,a<128)return nl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<24,a<128)return nl(t,n,e);if(n|=(1&(a=i[r.pos++]))<<31,a<128)return nl(t,n,e);throw new Error(\"Expected varint not more than 10 bytes\")}(e|=(15&(r=n[this.pos]))<<28,t,this))))},readVarint64:function(){return this.readVarint(!0)},readSVarint:function(){var t=this.readVarint();return t%2==1?(t+1)/-2:t/2},readBoolean:function(){return Boolean(this.readVarint())},readString:function(){var t=this.readVarint()+this.pos,e=function(t,e,r){for(var n=\"\",a=e;a<r;){var i,o,s,l=t[a],c=null,u=l>239?4:l>223?3:l>191?2:1;if(a+u>r)break;1===u?l<128&&(c=l):2===u?128==(192&(i=t[a+1]))&&(c=(31&l)<<6|63&i)<=127&&(c=null):3===u?(i=t[a+1],o=t[a+2],128==(192&i)&&128==(192&o)&&((c=(15&l)<<12|(63&i)<<6|63&o)<=2047||c>=55296&&c<=57343)&&(c=null)):4===u&&(i=t[a+1],o=t[a+2],s=t[a+3],128==(192&i)&&128==(192&o)&&128==(192&s)&&((c=(15&l)<<18|(63&i)<<12|(63&o)<<6|63&s)<=65535||c>=1114112)&&(c=null)),null===c?(c=65533,u=1):c>65535&&(c-=65536,n+=String.fromCharCode(c>>>10&1023|55296),c=56320|1023&c),n+=String.fromCharCode(c),a+=u}return n}(this.buf,this.pos,t);return this.pos=t,e},readBytes:function(){var t=this.readVarint()+this.pos,e=this.buf.subarray(this.pos,t);return this.pos=t,e},readPackedVarint:function(t,e){if(this.type!==el.Bytes)return t.push(this.readVarint(e));var r=rl(this);for(t=t||[];this.pos<r;)t.push(this.readVarint(e));return t},readPackedSVarint:function(t){if(this.type!==el.Bytes)return t.push(this.readSVarint());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readSVarint());return t},readPackedBoolean:function(t){if(this.type!==el.Bytes)return t.push(this.readBoolean());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readBoolean());return t},readPackedFloat:function(t){if(this.type!==el.Bytes)return t.push(this.readFloat());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readFloat());return t},readPackedDouble:function(t){if(this.type!==el.Bytes)return t.push(this.readDouble());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readDouble());return t},readPackedFixed32:function(t){if(this.type!==el.Bytes)return t.push(this.readFixed32());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed32());return t},readPackedSFixed32:function(t){if(this.type!==el.Bytes)return t.push(this.readSFixed32());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==el.Bytes)return t.push(this.readFixed64());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==el.Bytes)return t.push(this.readSFixed64());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===el.Varint)for(;this.buf[this.pos++]>127;);else if(e===el.Bytes)this.pos=this.readVarint()+this.pos;else if(e===el.Fixed32)this.pos+=4;else{if(e!==el.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),gl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),gl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),gl(this.buf,-1&t,this.pos),gl(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),gl(this.buf,-1&t,this.pos),gl(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,a,i=0;i<e.length;i++){if((n=e.charCodeAt(i))>55295&&n<57344){if(!a){n>56319||i+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):a=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,a=n;continue}n=a-55296<<10|n-56320|65536,a=null}else a&&(t[r++]=239,t[r++]=191,t[r++]=189,a=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&al(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),$s(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),$s(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&al(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,el.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,il,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,ol,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,cl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,sl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ll,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,ul,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,pl,e)},writeBytesField:function(t,e){this.writeTag(t,el.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,el.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,el.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,el.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,el.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,el.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,el.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,el.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,el.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,el.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var ml=3;function yl(t,e,r){1===t&&r.readMessage(xl,e)}function xl(t,e,r){if(3===t){var n=r.readMessage(bl,{}),a=n.id,i=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:a,bitmap:new Pi({width:o+2*ml,height:s+2*ml},i),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function bl(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var _l=ml,wl=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};wl.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout(function(){t._triggered=!1,t._callback()},0))};var kl=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},v([\"receive\",\"process\"],this),this.invoker=new wl(this.process),this.target.addEventListener(\"message\",this.receive,!1)};function Tl(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}kl.prototype.send=function(t,e,r,n){var a=this,i=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[i]=r);var o=[];return this.target.postMessage({id:i,type:t,hasCallback:!!r,targetMapId:n,sourceMapId:this.mapId,data:vn(e,o)},o),{cancel:function(){r&&delete a.callbacks[i],a.target.postMessage({id:i,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},kl.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()},kl.prototype.process=function(){var t=this;if(this.taskQueue.length){var e=this.taskQueue.shift(),r=this.tasks[e];if(delete this.tasks[e],this.taskQueue.length&&this.invoker.trigger(),r)if(\"<response>\"===r.type){var n=this.callbacks[e];delete this.callbacks[e],n&&(r.error?n(mn(r.error)):n(null,mn(r.data)))}else{var a=!1,i=r.hasCallback?function(r,n){a=!0,delete t.cancelCallbacks[e];var i=[];t.target.postMessage({id:e,type:\"<response>\",sourceMapId:t.mapId,error:r?vn(r):null,data:vn(n,i)},i)}:function(t){a=!0},o=null,s=mn(r.data);if(this.parent[r.type])o=this.parent[r.type](r.sourceMapId,s,i);else if(this.parent.getWorkerSource){var l=r.type.split(\".\");o=this.parent.getWorkerSource(r.sourceMapId,l[0],s.source)[l[1]](s,i)}else i(new Error(\"Could not find function \"+r.type));!a&&o&&o.cancel&&(this.cancelCallbacks[e]=o.cancel)}}},kl.prototype.remove=function(){this.target.removeEventListener(\"message\",this.receive,!1)};var Ml=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Ml.prototype.setNorthEast=function(t){return this._ne=t instanceof Al?new Al(t.lng,t.lat):Al.convert(t),this},Ml.prototype.setSouthWest=function(t){return this._sw=t instanceof Al?new Al(t.lng,t.lat):Al.convert(t),this},Ml.prototype.extend=function(t){var e,r,n=this._sw,a=this._ne;if(t instanceof Al)e=t,r=t;else{if(!(t instanceof Ml))return Array.isArray(t)?t.every(Array.isArray)?this.extend(Ml.convert(t)):this.extend(Al.convert(t)):this;if(e=t._sw,r=t._ne,!e||!r)return this}return n||a?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),a.lng=Math.max(r.lng,a.lng),a.lat=Math.max(r.lat,a.lat)):(this._sw=new Al(e.lng,e.lat),this._ne=new Al(r.lng,r.lat)),this},Ml.prototype.getCenter=function(){return new Al((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Ml.prototype.getSouthWest=function(){return this._sw},Ml.prototype.getNorthEast=function(){return this._ne},Ml.prototype.getNorthWest=function(){return new Al(this.getWest(),this.getNorth())},Ml.prototype.getSouthEast=function(){return new Al(this.getEast(),this.getSouth())},Ml.prototype.getWest=function(){return this._sw.lng},Ml.prototype.getSouth=function(){return this._sw.lat},Ml.prototype.getEast=function(){return this._ne.lng},Ml.prototype.getNorth=function(){return this._ne.lat},Ml.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Ml.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Ml.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Ml.convert=function(t){return!t||t instanceof Ml?t:new Ml(t)};var Al=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Al.prototype.wrap=function(){return new Al(u(this.lng,-180,180),this.lat)},Al.prototype.toArray=function(){return[this.lng,this.lat]},Al.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Al.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Ml(new Al(this.lng-r,this.lat-e),new Al(this.lng+r,this.lat+e))},Al.convert=function(t){if(t instanceof Al)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Al(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Al(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Sl=2*Math.PI*6378137;function El(t){return Sl*Math.cos(t*Math.PI/180)}function Ll(t){return(180+t)/360}function Cl(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Pl(t,e){return t/El(e)}function Ol(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var zl=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};zl.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Al.convert(t);return new zl(Ll(r.lng),Cl(r.lat),Pl(e,r.lat))},zl.prototype.toLngLat=function(){return new Al(360*this.x-180,Ol(this.y))},zl.prototype.toAltitude=function(){return this.z*El(Ol(this.y))},zl.prototype.meterInMercatorCoordinateUnits=function(){return 1/Sl*(t=Ol(this.y),1/Math.cos(t*Math.PI/180));var t};var Il=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Fl(0,t,e,r)};Il.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Il.prototype.url=function(t,e){var r,n,a,i,o,s=(r=this.x,n=this.y,a=this.z,i=Tl(256*r,256*(n=Math.pow(2,a)-n-1),a),o=Tl(256*(r+1),256*(n+1),a),i[0]+\",\"+i[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,a=\"\",i=t;i>0;i--)a+=(e&(n=1<<i-1)?1:0)+(r&n?2:0);return a}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},Il.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*ei,(t.y*e-this.y)*ei)};var Dl=function(t,e){this.wrap=t,this.canonical=e,this.key=Fl(t,e.z,e.x,e.y)},Rl=function(t,e,r,n,a){this.overscaledZ=t,this.wrap=e,this.canonical=new Il(r,+n,+a),this.key=Fl(e,t,n,a)};function Fl(t,e,r,n){(t*=2)<0&&(t=-1*t-1);var a=1<<e;return 32*(a*a*t+a*n+r)+e}Rl.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Rl.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Rl(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Rl(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Rl.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Rl.prototype.children=function(t){if(this.overscaledZ>=t)return[new Rl(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Rl(e,this.wrap,e,r,n),new Rl(e,this.wrap,e,r+1,n),new Rl(e,this.wrap,e,r,n+1),new Rl(e,this.wrap,e,r+1,n+1)]},Rl.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Rl.prototype.wrapped=function(){return new Rl(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Rl.prototype.unwrapTo=function(t){return new Rl(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Rl.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Rl.prototype.toUnwrapped=function(){return new Dl(this.wrap,this.canonical)},Rl.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Rl.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new zl(t.x-this.wrap,t.y))},dn(\"CanonicalTileID\",Il),dn(\"OverscaledTileID\",Rl,{omit:[\"posMatrix\"]});var Bl=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return w('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');var n=this.dim=e.height;this.stride=this.dim+2,this.data=new Int32Array(this.stride*this.stride);for(var a=e.data,i=\"terrarium\"===r?this._unpackTerrarium:this._unpackMapbox,o=0;o<n;o++)for(var s=0;s<n;s++){var l=4*(o*n+s);this.set(s,o,i(a[l],a[l+1],a[l+2]))}for(var c=0;c<n;c++)this.set(-1,c,this.get(0,c)),this.set(n,c,this.get(n-1,c)),this.set(c,-1,this.get(c,0)),this.set(c,n,this.get(c,n-1));this.set(-1,-1,this.get(0,0)),this.set(n,-1,this.get(n-1,0)),this.set(-1,n,this.get(0,n-1)),this.set(n,n,this.get(n-1,n-1))};Bl.prototype.set=function(t,e,r){this.data[this._idx(t,e)]=r+65536},Bl.prototype.get=function(t,e){return this.data[this._idx(t,e)]-65536},Bl.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Bl.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Bl.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Bl.prototype.getPixels=function(){return new Oi({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Bl.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,a=e*this.dim+this.dim,i=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=a-1;break;case 1:a=n+1}switch(r){case-1:i=o-1;break;case 1:o=i+1}for(var s=-e*this.dim,l=-r*this.dim,c=i;c<o;c++)for(var u=n;u<a;u++)this.set(u,c,t.get(u+s,c+l))},dn(\"DEMData\",Bl);var Nl=Jn([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),jl=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};jl.prototype.encode=function(t){return this._stringToNumber[t]},jl.prototype.decode=function(t){return this._numberToString[t]};var Vl=function(t,e,r,n){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,null!=t.id&&(this.id=t.id)},Ul={geometry:{configurable:!0}};Ul.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Ul.geometry.set=function(t){this._geometry=t},Vl.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Vl.prototype,Ul);var ql=function(){this.state={},this.stateChanges={},this.deletedStates={}};ql.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},h(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var a in this.deletedStates[t]={},this.state[t])a!==n&&(this.deletedStates[t][a]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var i in this.deletedStates[t][n]={},this.state[t][n])r[i]||(this.deletedStates[t][n][i]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},ql.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e&&e>=0)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e&&e>=0)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},ql.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},a=this.stateChanges[t]||{},i=h({},n[r],a[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete i[s]}return i},ql.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},ql.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var a={};for(var i in this.stateChanges[n])this.state[n][i]||(this.state[n][i]={}),h(this.state[n][i],this.stateChanges[n][i]),a[i]=this.state[n][i];r[n]=a}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var u=0,f=Object.keys(this.deletedStates[o][c]);u<f.length;u+=1){var p=f[u];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},h(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Hl=function(t,e,r){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=e||new cn(ei,16,0),this.grid3D=new cn(ei,16,0),this.featureIndexArray=r||new Ca};function Gl(t){for(var e=1/0,r=1/0,n=-1/0,a=-1/0,i=0,o=t;i<o.length;i+=1){var s=o[i];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),a=Math.max(a,s.y)}return{minX:e,minY:r,maxX:n,maxY:a}}function Yl(t,e){return e-t}Hl.prototype.insert=function(t,e,r,n,a,i){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,a);for(var s=i?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],h=0;h<c.length;h++){var f=c[h];u[0]=Math.min(u[0],f.x),u[1]=Math.min(u[1],f.y),u[2]=Math.max(u[2],f.x),u[3]=Math.max(u[3],f.y)}u[0]<ei&&u[1]<ei&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Hl.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Io.VectorTile(new tl(this.rawTileData)).layers,this.sourceLayerCoder=new jl(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Hl.prototype.query=function(t,e,r){var n=this;this.loadVTLayers();for(var i=t.params||{},o=ei/t.tileSize/t.scale,s=Rr(i.filter),l=t.queryGeometry,c=t.queryPadding*o,u=Gl(l),h=this.grid.query(u.minX-c,u.minY-c,u.maxX+c,u.maxY+c),f=Gl(t.cameraQueryGeometry),p=0,d=this.grid3D.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c,function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var c=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var u=0,h=c;u<h.length;u+=1)if(gi(t,h[u]))return!0;for(var f=0;f<t.length-1;f++)if(vi(t[f],t[f+1],c))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)});p<d.length;p+=1){var g=d[p];h.push(g)}h.sort(Yl);for(var v,m={},y=function(a){var c=h[a];if(c!==v){v=c;var u=n.featureIndexArray.get(c),f=null;n.loadMatchingFeature(m,u.bucketIndex,u.sourceLayerIndex,u.featureIndex,s,i.layers,e,function(e,a){f||(f=ni(e));var i={};return e.id&&(i=r.getState(a.sourceLayer||\"_geojsonTileLayer\",e.id)),a.queryIntersectsFeature(l,e,i,f,n.z,t.transform,o,t.pixelPosMatrix)})}},x=0;x<h.length;x++)y(x);return m},Hl.prototype.loadMatchingFeature=function(t,e,r,n,a,i,o,s){var l=this.bucketLayerIDs[e];if(!i||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(i,l)){var c=this.sourceLayerCoder.decode(r),u=this.vtLayers[c].feature(n);if(a(new Pn(this.tileID.overscaledZ),u))for(var h=0;h<l.length;h++){var f=l[h];if(!(i&&i.indexOf(f)<0)){var p=o[f];if(p){var d=!s||s(u,p);if(d){var g=new Vl(u,this.z,this.x,this.y);g.layer=p.serialize();var v=t[f];void 0===v&&(v=t[f]=[]),v.push({featureIndex:n,feature:g,intersectionZ:d})}}}}}},Hl.prototype.lookupSymbolFeatures=function(t,e,r,n,a,i){var o={};this.loadVTLayers();for(var s=Rr(n),l=0,c=t;l<c.length;l+=1){var u=c[l];this.loadMatchingFeature(o,e,r,u,s,a,i)}return o},Hl.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,a=r[e];n<a.length;n+=1)if(t===a[n])return!0;return!1},dn(\"FeatureIndex\",Hl,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var Wl=function(t,e){this.tileID=t,this.uid=p(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.expiredRequestCount=0,this.state=\"loading\"};function Xl(t,e,r,n,a){if(void 0===e.segment)return!0;for(var i=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(i),i=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],c=0;s<r/2;){var u=t[o-1],h=t[o],f=t[o+1];if(!f)return!1;var p=u.angleTo(h)-h.angleTo(f);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),c+=p;s-l[0].distance>n;)c-=l.shift().angleDelta;if(c>a)return!1;o++,s+=h.dist(f)}return!0}function Zl(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Jl(t,e,r){return t?.6*e*r:0}function Kl(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function Ql(t,e,r,n,a,i){for(var o=Jl(r,a,i),s=Kl(r,n)*i,l=0,c=Zl(t)/2,u=0;u<t.length-1;u++){var h=t[u],f=t[u+1],p=h.dist(f);if(l+p>c){var d=(c-l)/p,g=ye(h.x,f.x,d),v=ye(h.y,f.y,d),m=new bs(g,v,f.angleTo(h),u);return m._round(),!o||Xl(t,m,s,o,e)?m:void 0}l+=p}}function $l(t,e,r,n,a,i,o,s,l){var c=Jl(n,i,o),u=Kl(n,a),h=u*o,f=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-h<e/4&&(e=h+e/4),function t(e,r,n,a,i,o,s,l,c){for(var u=o/2,h=Zl(e),f=0,p=r-n,d=[],g=0;g<e.length-1;g++){for(var v=e[g],m=e[g+1],y=v.dist(m),x=m.angleTo(v);p+n<f+y;){var b=((p+=n)-f)/y,_=ye(v.x,m.x,b),w=ye(v.y,m.y,b);if(_>=0&&_<c&&w>=0&&w<c&&p-u>=0&&p+u<=h){var k=new bs(_,w,x,g);k._round(),a&&!Xl(e,k,o,a,i)||d.push(k)}}f+=y}return l||d.length||s||(d=t(e,f/2,n,a,i,o,s,!0,c)),d}(t,f?e/2*s%e:(u/2+2*i)*o*s%e,e,c,r,h,f,!1,l)}Wl.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<I.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},Wl.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},Wl.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=i[a],n=t.layerIds.map(function(t){return e.getLayer(t)}).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map(function(t){return n.filter(function(e){return e.id===t})[0]}));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},a=0,i=t;a<i.length;a+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var a=this.buckets[n];if(a instanceof Os){if(this.hasSymbolBuckets=!0,!r)break;a.justReloaded=!0}}for(var i in this.queryPadding=0,this.buckets){var o=this.buckets[i];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(i).queryRadius(o))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new ba},Wl.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},Wl.prototype.unloadDEMData=function(){this.dem=null,this.neighboringTiles=null,this.state=\"unloaded\"},Wl.prototype.getBucket=function(t){return this.buckets[t.id]},Wl.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Ks(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Ks(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},Wl.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},Wl.prototype.queryRenderedFeatures=function(t,e,r,n,a,i,o,s,l){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:r,cameraQueryGeometry:n,scale:a,tileSize:this.tileSize,pixelPosMatrix:l,transform:o,params:i,queryPadding:this.queryPadding*s},t,e):{}},Wl.prototype.querySourceFeatures=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData){var r=this.latestFeatureIndex.loadVTLayers(),n=e?e.sourceLayer:\"\",a=r._geojsonTileLayer||r[n];if(a)for(var i=Rr(e&&e.filter),o=this.tileID.canonical,s=o.z,l=o.x,c=o.y,u={z:s,x:l,y:c},h=0;h<a.length;h++){var f=a.feature(h);if(i(new Pn(this.tileID.overscaledZ),f)){var p=new Vl(f,s,l,c);p.tile=u,t.push(p)}}}},Wl.prototype.clearMask=function(){this.segments&&(this.segments.destroy(),delete this.segments),this.maskedBoundsBuffer&&(this.maskedBoundsBuffer.destroy(),delete this.maskedBoundsBuffer),this.maskedIndexBuffer&&(this.maskedIndexBuffer.destroy(),delete this.maskedIndexBuffer)},Wl.prototype.setMask=function(t,e){if(!o(this.mask,t)&&(this.mask=t,this.clearMask(),!o(t,{0:!0}))){var r=new $n,n=new da;this.segments=new Oa,this.segments.prepareSegment(0,r,n);for(var i=Object.keys(t),s=0;s<i.length;s++){var l=t[+i[s]],c=ei>>l.z,u=new a(l.x*c,l.y*c),h=new a(u.x+c,u.y+c),f=this.segments.prepareSegment(4,r,n);r.emplaceBack(u.x,u.y,u.x,u.y),r.emplaceBack(h.x,u.y,h.x,u.y),r.emplaceBack(u.x,h.y,u.x,h.y),r.emplaceBack(h.x,h.y,h.x,h.y);var p=f.vertexLength;n.emplaceBack(p,p+1,p+2),n.emplaceBack(p+1,p+2,p+3),f.vertexLength+=4,f.primitiveLength+=2}this.maskedBoundsBuffer=e.createVertexBuffer(r,Nl.members),this.maskedIndexBuffer=e.createIndexBuffer(n)}},Wl.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},Wl.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Wl.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),a=!1;if(this.expirationTime>n)a=!1;else if(e)if(this.expirationTime<e)a=!0;else{var i=this.expirationTime-e;i?this.expirationTime=n+Math.max(i,3e4):a=!0}else a=!0;a?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},Wl.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},Wl.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets){var a=this.buckets[n],i=a.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[i],s=t[i];o&&s&&0!==Object.keys(s).length&&(a.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{}),e&&e.style&&(this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(n).queryRadius(a))))}}},Wl.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},Wl.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<I.now()},Wl.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Wl.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=I.now()+t};var tc=function(t,e,r,n,i,o,s,l,c,u,h,f){var p=s.top*l-c,d=s.bottom*l+c,g=s.left*l-c,v=s.right*l+c;if(this.boxStartIndex=t.length,u){var m=d-p,y=v-g;m>0&&(m=Math.max(10*l,m),this._addLineCollisionCircles(t,e,r,r.segment,y,m,n,i,o,h))}else{if(f){var x=new a(g,p),b=new a(v,p),_=new a(g,d),w=new a(v,d),k=f*Math.PI/180;x._rotate(k),b._rotate(k),_._rotate(k),w._rotate(k),g=Math.min(x.x,b.x,_.x,w.x),v=Math.max(x.x,b.x,_.x,w.x),p=Math.min(x.y,b.y,_.y,w.y),d=Math.max(x.y,b.y,_.y,w.y)}t.emplaceBack(r.x,r.y,g,p,v,d,n,i,o,0,0)}this.boxEndIndex=t.length};tc.prototype._addLineCollisionCircles=function(t,e,r,n,a,i,o,s,l,c){var u=i/2,h=Math.floor(a/u)||1,f=1+.4*Math.log(c)/Math.LN2,p=Math.floor(h*f/2),d=-i/2,g=r,v=n+1,m=d,y=-a/2,x=y-a/4;do{if(--v<0){if(m>y)return;v=0;break}m-=e[v].dist(g),g=e[v]}while(m>x);for(var b=e[v].dist(e[v+1]),_=-p;_<h+p;_++){var w=_*u,k=y+w;if(w<0&&(k+=w),w>a&&(k+=w-a),!(k<m)){for(;m+b<k;){if(m+=b,++v+1>=e.length)return;b=e[v].dist(e[v+1])}var T=k-m,M=e[v],A=e[v+1].sub(M)._unit()._mult(T)._add(M)._round(),S=Math.abs(k-d)<u?0:.8*(k-d);t.emplaceBack(A.x,A.y,-i/2,-i/2,i/2,i/2,o,s,l,i/2,S)}}};var ec=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=rc),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function rc(t,e){return t<e?-1:t>e?1:0}function nc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],c=0;c<l.length;c++){var u=l[c];(!c||u.x<n)&&(n=u.x),(!c||u.y<i)&&(i=u.y),(!c||u.x>o)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var h=o-n,f=s-i,p=Math.min(h,f),d=p/2,g=new ec([],ac);if(0===p)return new a(n,i);for(var v=n;v<o;v+=p)for(var m=i;m<s;m+=p)g.push(new ic(v+d,m+d,d,t));for(var y=function(t){for(var e=0,r=0,n=0,a=t[0],i=0,o=a.length,s=o-1;i<o;s=i++){var l=a[i],c=a[s],u=l.x*c.y-c.x*l.y;r+=(l.x+c.x)*u,n+=(l.y+c.y)*u,e+=3*u}return new ic(r/e,n/e,0,t)}(t),x=g.length;g.length;){var b=g.pop();(b.d>y.d||!y.d)&&(y=b,r&&console.log(\"found best %d after %d probes\",Math.round(1e4*b.d)/1e4,x)),b.max-y.d<=e||(d=b.h/2,g.push(new ic(b.p.x-d,b.p.y-d,d,t)),g.push(new ic(b.p.x+d,b.p.y-d,d,t)),g.push(new ic(b.p.x-d,b.p.y+d,d,t)),g.push(new ic(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log(\"num probes: 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_=t.length-3;p=t[_],d=t[_+1],g=t[_+2],(y=0===a?p:d)>=r&&y<=n&&vt(c,p,d,g),_=c.length-3,i&&_>=3&&(c[_]!==c[0]||c[_+1]!==c[1])&&vt(c,c[0],c[1],c[2]),c.length&&e.push(c)}function dt(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function gt(t,e,r,n,a,i){for(var o=0;o<t.length;o++)pt(t[o],e,r,n,a,i,!1)}function vt(t,e,r,n){t.push(e),t.push(r),t.push(n)}function mt(t,e,r,n,a,i){var o=(i-e)/(n-e);return t.push(i),t.push(r+(a-r)*o),t.push(1),o}function yt(t,e,r,n,a,i){var o=(i-r)/(a-r);return t.push(e+(n-e)*o),t.push(i),t.push(1),o}function xt(t,e){for(var r=[],n=0;n<t.length;n++){var a,i=t[n],o=i.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)a=bt(i.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){a=[];for(var s=0;s<i.geometry.length;s++)a.push(bt(i.geometry[s],e))}else if(\"MultiPolygon\"===o)for(a=[],s=0;s<i.geometry.length;s++){for(var l=[],c=0;c<i.geometry[s].length;c++)l.push(bt(i.geometry[s][c],e));a.push(l)}r.push(nt(i.id,o,a,i.tags))}return r}function bt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function _t(t,e){if(t.transformed)return t;var r,n,a,i=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(wt(c[n],c[n+1],e,i,o,s));else for(n=0;n<c.length;n++){var h=[];for(a=0;a<c[n].length;a+=2)h.push(wt(c[n][a],c[n][a+1],e,i,o,s));l.geometry.push(h)}}return t.transformed=!0,t}function wt(t,e,r,n,a,i){return[Math.round(r*(t*n-a)),Math.round(r*(e*n-i))]}function kt(t,e,r,n,a){for(var i=e===a.maxZoom?0:a.tolerance/((1<<e)*a.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,Tt(o,t[s],i,a);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,h=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),h>o.maxY&&(o.maxY=h)}return o}function Tt(t,e,r,n){var a=e.geometry,i=e.type,o=[];if(\"Point\"===i||\"MultiPoint\"===i)for(var s=0;s<a.length;s+=3)o.push(a[s]),o.push(a[s+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===i)Mt(o,a,t,r,!1,!1);else if(\"MultiLineString\"===i||\"Polygon\"===i)for(s=0;s<a.length;s++)Mt(o,a[s],t,r,\"Polygon\"===i,0===s);else if(\"MultiPolygon\"===i)for(var l=0;l<a.length;l++){var c=a[l];for(s=0;s<c.length;s++)Mt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if(\"LineString\"===i&&n.lineMetrics){for(var h in u={},e.tags)u[h]=e.tags[h];u.mapbox_clip_start=a.start/a.size,u.mapbox_clip_end=a.end/a.size}var f={geometry:o,type:\"Polygon\"===i||\"MultiPolygon\"===i?3:\"LineString\"===i||\"MultiLineString\"===i?2:1,tags:u};null!==e.id&&(f.id=e.id),t.features.push(f)}}function Mt(t,e,r,n,a,i){var o=n*n;if(n>0&&e.size<(a?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;a&&function(t,e){for(var r=0,n=0,a=t.length,i=a-2;n<a;i=n,n+=2)r+=(t[n]-t[i])*(t[n+1]+t[i+1]);if(r>0===e)for(n=0,a=t.length;n<a/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[a-2-n],t[n+1]=t[a-1-n],t[a-2-n]=o,t[a-1-n]=s}}(s,i),t.push(s)}}function At(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)it(r,t.features[n],e,n);else\"Feature\"===t.type?it(r,t,e):it(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,a=ht(t,1,-1-r,r,0,-1,2,e),i=ht(t,1,1-r,2+r,0,-1,2,e);return(a||i)&&(n=ht(t,1,-r,1+r,0,-1,2,e)||[],a&&(n=xt(a,1).concat(n)),i&&(n=n.concat(xt(i,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function St(t,e,r){return 32*((1<<t)*r+e)+t}function Et(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var a=new k(n.features),i=E(a);0===i.byteOffset&&i.byteLength===i.buffer.byteLength||(i=new Uint8Array(i)),e(null,{vectorTile:a,rawData:i.buffer})}Y.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,a=e.maxZoom,i=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(X(t[l],l));this.trees[a+1]=new H(s,tt,et,i,Float32Array),r&&console.timeEnd(o);for(var c=a;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new H(s,tt,et,i,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},Y.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),a=180===t[2]?180:((t[2]+180)%360+360)%360-180,i=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,a=180;else if(r>a){var o=this.getClusters([r,n,180,i],e),s=this.getClusters([-180,n,a,i],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,h=l.range(K(r),Q(i),K(a),Q(n));u<h.length;u+=1){var f=h[u],p=l.points[f];c.push(p.numPoints?Z(p):this.points[p.index])}return c},Y.prototype.getChildren=function(t){var e=t>>5,r=t%32,n=\"No cluster with the specified id.\",a=this.trees[r];if(!a)throw new Error(n);var i=a.points[e];if(!i)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=a.within(i.x,i.y,o);l<c.length;l+=1){var u=c[l],h=a.points[u];h.parentId===t&&s.push(h.numPoints?Z(h):this.points[h.index])}if(0===s.length)throw new Error(n);return s},Y.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},Y.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],a=Math.pow(2,t),i=this.options,o=i.extent,s=i.radius/o,l=(r-s)/a,c=(r+1+s)/a,u={features:[]};return this._addTileFeatures(n.range((e-s)/a,l,(e+1+s)/a,c),n.points,e,r,a,u),0===e&&this._addTileFeatures(n.range(1-s/a,l,1,c),n.points,a,r,a,u),e===a-1&&this._addTileFeatures(n.range(0,l,s/a,c),n.points,-1,r,a,u),u.features.length?u:null},Y.prototype.getClusterExpansionZoom=function(t){for(var e=t%32-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},Y.prototype._appendLeaves=function(t,e,r,n,a){for(var i=0,o=this.getChildren(e);i<o.length;i+=1){var s=o[i],l=s.properties;if(l&&l.cluster?a+l.point_count<=n?a+=l.point_count:a=this._appendLeaves(t,l.cluster_id,r,n,a):a<n?a++:t.push(s),t.length===r)break}return a},Y.prototype._addTileFeatures=function(t,e,r,n,a,i){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c={type:1,geometry:[[Math.round(this.options.extent*(l.x*a-r)),Math.round(this.options.extent*(l.y*a-n))]],tags:l.numPoints?J(l):this.points[l.index].properties},u=l.numPoints?l.id:this.points[l.index].id;void 0!==u&&(c.id=u),i.features.push(c)}},Y.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},Y.prototype._cluster=function(t,e){for(var r=[],n=this.options,a=n.radius,i=n.extent,o=n.reduce,s=a/(i*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],h=u.within(c.x,c.y,s),f=c.numPoints||1,p=c.x*f,d=c.y*f,g=o&&f>1?this._map(c,!0):null,v=(l<<5)+(e+1),m=0,y=h;m<y.length;m+=1){var x=y[m],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,f+=_,b.parentId=v,o&&(g||(g=this._map(c,!0)),o(g,this._map(b)))}}1===f?r.push(c):(c.parentId=v,r.push(W(p/f,d/f,v,f,g)))}}return r},Y.prototype._map=function(t,e){if(t.numPoints)return e?$({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?$({},n):n},At.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},At.prototype.splitTile=function(t,e,r,n,a,i,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,h=St(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=kt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(f.source=t,a){if(e===l.maxZoom||e===a)continue;var d=1<<a-e;if(r!==Math.floor(i/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,v,m,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,k=.5+_,T=1+_;g=v=m=y=null,x=ht(t,u,r-_,r+k,0,f.minX,f.maxX,l),b=ht(t,u,r+w,r+T,0,f.minX,f.maxX,l),t=null,x&&(g=ht(x,u,n-_,n+k,1,f.minY,f.maxY,l),v=ht(x,u,n+w,n+T,1,f.minY,f.maxY,l),x=null),b&&(m=ht(b,u,n-_,n+k,1,f.minY,f.maxY,l),y=ht(b,u,n+w,n+T,1,f.minY,f.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(v||[],e+1,2*r,2*n+1),s.push(m||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},At.prototype.getTile=function(t,e,r){var n=this.options,a=n.extent,i=n.debug;if(t<0||t>24)return null;var o=1<<t,s=St(t,e=(e%o+o)%o,r);if(this.tiles[s])return _t(this.tiles[s],a);i>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,h=r;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[St(c,u,h)];return l&&l.source?(i>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,h),i>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,h,t,e,r),i>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?_t(this.tiles[s],a):null):null};var Lt=function(e){function r(t,r,n){e.call(this,t,r,Et),n&&(this.loadGeoJSON=n)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var a=!!(n&&n.request&&n.request.collectResourceTiming)&&new l.Performance(n.request);this.loadGeoJSON(n,function(i,o){if(i||!o)return r(i);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));!function t(e,r){switch(e&&e.type||null){case\"FeatureCollection\":return e.features=e.features.map(y(t,r)),e;case\"GeometryCollection\":return e.geometries=e.geometries.map(y(t,r)),e;case\"Feature\":return e.geometry=t(e.geometry,r),e;case\"Polygon\":case\"MultiPolygon\":return function(t,e){return\"Polygon\"===t.type?t.coordinates=x(t.coordinates,e):\"MultiPolygon\"===t.type&&(t.coordinates=t.coordinates.map(y(x,e))),t}(e,r);default:return e}}(o,!0);try{e._geoJSONIndex=n.cluster?new Y(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var a={},i={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var h=u[c],f=n[h],p=f[0],d=f[1],g=t.createExpression(d),v=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",h]]:p);a[h]=g.value,i[h]=v.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var i=n[r];e[i]=a[i].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var a=n[r];o.accumulated=t[a],t[a]=i[a].evaluate(o,s)}},r}(n)).load(o.features):new At(o,n.geojsonVtOptions)}catch(i){return r(i)}e.loaded={};var s={};if(a){var l=a.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)})}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,a=t.uid;return n&&n[a]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))},r.prototype.getClusterChildren=function(t,e){e(null,this._geoJSONIndex.getChildren(t.clusterId))},r.prototype.getClusterLeaves=function(t,e){e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))},r}(h),Ct=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.workerSourceTypes={vector:h,geojson:Lt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isLoaded())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return Ct.prototype.setReferrer=function(t,e){this.referrer=e},Ct.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},Ct.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},Ct.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},Ct.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},Ct.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},Ct.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},Ct.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},Ct.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},Ct.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},Ct.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},Ct.prototype.loadRTLTextPlugin=function(e,r,n){try{t.plugin.isLoaded()||(this.self.importScripts(r),n(t.plugin.isLoaded()?null:new Error(\"RTL Text Plugin failed to import scripts from \"+r)))}catch(t){n(t.toString())}},Ct.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},Ct.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var a={send:function(e,r,a){n.actor.send(e,r,a,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](a,this.getLayerIndex(t))}return this.workerSources[t][e][r]},Ct.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new f),this.demWorkerSources[t][e]},Ct.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},\"undefined\"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new Ct(t.window)),Ct}),n(0,function(t){var e=t.createCommonjsModule(function(t){function e(t){return!!(\"undefined\"!=typeof window&&\"undefined\"!=typeof document&&Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray&&Function.prototype&&Function.prototype.bind&&Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions&&\"JSON\"in window&&\"parse\"in JSON&&\"stringify\"in JSON&&function(){if(!(\"Worker\"in window&&\"Blob\"in window&&\"URL\"in window))return!1;var t,e,r=new Blob([\"\"],{type:\"text/javascript\"}),n=URL.createObjectURL(r);try{e=new Worker(n),t=!0}catch(e){t=!1}return e&&e.terminate(),URL.revokeObjectURL(n),t}()&&\"Uint8ClampedArray\"in window&&ArrayBuffer.isView&&function(t){return void 0===r[t]&&(r[t]=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t)),r[t]}(t&&t.failIfMajorPerformanceCaveat))}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e);var r={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}}),r={create:function(e,r,n){var a=t.window.document.createElement(e);return void 0!==r&&(a.className=r),n&&n.appendChild(a),a},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function a(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var i,o=a([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]);r.disableDrag=function(){n&&o&&(i=n[o],n[o]=\"none\")},r.enableDrag=function(){n&&o&&(n[o]=i)};var s=a([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",c,c),t.window.removeEventListener(\"test\",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",u,!0)};function h(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",u,!0),t.window.setTimeout(function(){t.window.removeEventListener(\"click\",u,!0)},0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect(),a=t.window.TouchEvent&&r instanceof t.window.TouchEvent?r.touches[0]:r;return new t.Point(a.clientX-n.left-e.clientLeft,a.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),a=[],i=\"touchend\"===r.type?r.changedTouches:r.touches,o=0;o<i.length;o++)a.push(new t.Point(i[o].clientX-n.left-e.clientLeft,i[o].clientY-n.top-e.clientTop));return a},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var f=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],a=n.ids,i=n.callback;this._notify(a,i)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this.images[t]=e},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,a=t;n<a.length;n+=1){var i=a[n];this.images[i]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. 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o.resize({width:a||1,height:i||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,h=this.images[s].data,f=h.width,p=h.height;t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u},{width:f,height:p}),t.RGBAImage.copy(h,o,{x:0,y:p-1},{x:c,y:u-1},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u+p},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:f-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c+f,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var a=this.images[n];h(a)&&this.updateImage(n,a)}}},r}(t.Evented),p=v,d=v,g=1e20;function v(t,e,r,n,a,i){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=a||\"sans-serif\",this.fontWeight=i||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function m(t,e,r,n,a,i,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,a,i,o,r),l=0;l<r;l++)t[l*e+s]=a[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,a,i,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(a[s])}}function y(t,e,r,n,a){r[0]=0,n[0]=-g,n[1]=+g;for(var i=1,o=0;i<a;i++){for(var s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);s<=n[o];)o--,s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);r[++o]=i,n[o]=s,n[o+1]=+g}for(i=0,o=0;i<a;i++){for(;n[o+1]<i;)o++;e[i]=(i-r[o])*(i-r[o])+t[r[o]]}}v.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var a=e.data[4*n+3]/255;this.gridOuter[n]=1===a?0:0===a?g:Math.pow(Math.max(0,.5-a),2),this.gridInner[n]=1===a?g:0===a?0:Math.pow(Math.max(0,a-.5),2)}for(m(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),m(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var i=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(i/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,a=[];for(var i in e)for(var o=0,s=e[i];o<s.length;o+=1){var l=s[o];a.push({stack:i,id:l})}t.asyncAll(a,function(t,e){var r=t.stack,a=t.id,i=n.entries[r];i||(i=n.entries[r]={glyphs:{},requests:{}});var o=i.glyphs[a];if(void 0===o){if(o=n._tinySDF(i,r,a))return i.glyphs[a]=o,void e(null,{stack:r,id:a,glyph:o});var s=Math.floor(a/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else{var l=i.requests[s];l||(l=i.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,function(t,e){if(e)for(var r in e)n._doesCharSupportLocalGlyph(+r)||(i.glyphs[+r]=e[+r]);for(var a=0,o=l;a<o.length;a+=1)(0,o[a])(t,e);delete i.requests[s]})),l.push(function(t,n){t?e(t):n&&e(null,{stack:r,id:a,glyph:n[a]||null})})}}else e(null,{stack:r,id:a,glyph:o})},function(t,e){if(t)r(t);else if(e){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}})},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var a=this.localIdeographFontFamily;if(a&&this._doesCharSupportLocalGlyph(n)){var i=e.tinySDF;if(!i){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),i=e.tinySDF=new x.TinySDF(24,3,8,.25,a,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},i.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,a,i){var o=256*r,s=o+255,l=a.transformRequest(a.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,function(e,r){if(e)i(e);else if(r){for(var n={},a=0,o=t.parseGlyphPBF(r);a<o.length;a+=1){var s=o[a];n[s.id]=s}i(null,n)}})},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var a=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),a):this._transitionable.setValue(n,a)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.bytes=4,this.data=new Uint8Array(this.width*this.height*this.bytes),this.positions={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.positions[r]||(this.positions[r]=this.addDash(t,e)),this.positions[r]},k.prototype.addDash=function(e,r){var n=r?7:0,a=2*n+1;if(this.nextRow+a>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var i=0,o=0;o<e.length;o++)i+=e[o];for(var s=this.width/i,l=s/2,c=e.length%2==1,u=-n;u<=n;u++)for(var h=this.nextRow+n+u,f=this.width*h,p=c?-e[e.length-1]:0,d=e[0],g=1,v=0;v<this.width;v++){for(;d<v/s;)p=d,d+=e[g],c&&g===e.length-1&&(d+=e[0]),g++;var m=Math.abs(v-p*s),y=Math.abs(v-d*s),x=Math.min(m,y),b=g%2==1,_=void 0;if(r){var w=n?u/n*(l+1):0;if(b){var k=l-Math.abs(w);_=Math.sqrt(x*x+k*k)}else _=l-Math.sqrt(x*x+w*w)}else _=(b?1:-1)*x;this.data[3+4*(f+v)]=Math.max(0,Math.min(255,_+128))}var T={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:i};return this.nextRow+=a,this.dirty=!0,T},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.RGBA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.RGBA,this.width,this.height,0,e.RGBA,e.UNSIGNED_BYTE,this.data))};var T=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var a=this.workerPool.acquire(this.id),i=0;i<a.length;i++){var o=a[i],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+i,this.actors.push(s)}};function M(e,r,n){var a=function(a,i){if(a)return n(a);if(i){var o=t.pick(t.extend(i,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);i.vector_layers&&(o.vectorLayers=i.vector_layers,o.vectorLayerIds=o.vectorLayers.map(function(t){return t.id})),e.url&&(o.tiles=r.canonicalizeTileset(o,e.url)),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),a):t.browser.frame(function(){return a(null,e)})}T.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,function(t,n){t.send(e,r,n)},n)},T.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},T.prototype.remove=function(){this.actors.forEach(function(t){t.remove()}),this.actors=[],this.workerPool.release(this.id)},T.Actor=t.Actor;var A=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};A.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},A.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),a=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),i=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<i&&e.y>=a&&e.y<o};var S=function(e){function r(r,n,a,i){if(e.call(this),this.id=r,this.dispatcher=a,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.url,null),a={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes};function i(n,a){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(a&&a.resourceTiming&&(e.resourceTiming=a.resourceTiming),this.map._refreshExpiredTiles&&a&&e.setExpiryData(a),e.loadVectorData(a,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}a.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",a,i.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",a,i.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,a,i){e.call(this),this.id=r,this.dispatcher=a,this.setEventedParent(i),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,a=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.url,this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(a,t.ResourceType.Tile),function(a,i){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(a)e.state=\"errored\",r(a);else if(i){n.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(i.width),e.texture?e.texture.update(i,{useMipmap:!0}):(e.texture=new t.Texture(o,i,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}})},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.url,this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var i=t.browser.getImageData(a),o={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:i,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",o,function(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),a=(r.x-1+n)%n,i=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,a,i){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=a.getActor(),this.setEventedParent(i),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution);var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}})},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}}),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),a=this._data;\"string\"==typeof a?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(a),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(a),this.actor.send(this.type+\".loadData\",n,function(t,a){r._removed||a&&a.abandoned||(r._loaded=!0,a&&a.resourceTiming&&a.resourceTiming[r.id]&&(r._resourceTiming=a.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))})},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,a=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var i={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes};e.request=this.actor.send(a,i,function(t,i){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(i,n.map.painter,\"reloadTile\"===a),r(null))})},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=function(e){function r(t,r,n,a){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(a),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),function(a,i){n._loaded=!0,a?n.fire(new t.ErrorEvent(a)):i&&(n.image=i,e&&(n.coordinates=e),r&&r(),n._finishLoading())})},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,function(){e.texture=null}),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,a=-1/0,i=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),a=Math.max(a,l.x),i=Math.max(i,l.y)}var c=a-r,u=i-n,h=Math.max(c,u),f=Math.max(0,Math.floor(-Math.log(h)/Math.LN2)),p=Math.pow(2,f);return new t.CanonicalTileID(f,Math.floor((r+a)/2*p),Math.floor((n+i)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var a=n.map(function(t){return r.tileID.getTilePoint(t)._round()});return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(a[0].x,a[0].y,0,0),this._boundsArray.emplaceBack(a[1].x,a[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(a[3].x,a[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(a[2].x,a[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,t.rasterBoundsAttributes.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=function(e){function r(t,r,n,a){e.call(this,t,r,n,a),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,a=r.urls;n<a.length;n+=1){var i=a[n];this.urls.push(this.map._requestManager.transformRequest(i,t.ResourceType.Source).url)}t.getVideo(this.urls,function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",function(){e.map.triggerRepaint()}),e.map&&e.video.play(),e._finishLoading())})},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,t.rasterBoundsAttributes.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(P),z=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some(function(t){return!Array.isArray(t)||2!==t.length||t.some(function(t){return\"number\"!=typeof t})})||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return 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e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),yt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(q),wt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),kt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t,e,r){this.context=t,this.width=e,this.height=r;var n=t.gl,a=this.framebuffer=n.createFramebuffer();this.colorAttachment=new wt(t,a),this.depthAttachment=new kt(t,a)};Tt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();e&&t.deleteTexture(e);var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r),t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var At=function(t,e,r,n,a,i){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=a,this.pass=i};At.disabled=new At({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new H(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new at(this),this.blendEquation=new it(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ht(this),this.bindFramebuffer=new ft(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new vt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&t.getExtension(\"OES_texture_half_float_linear\")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new U(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,a=n.createRenderbuffer();return this.bindRenderbuffer.set(a),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),a},Lt.prototype.createFramebuffer=function(t,e){return new Tt(this,t,e)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,a=0;e&&(a|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(a|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(a)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,a){var i=this;e.call(this),this.id=r,this.dispatcher=a,this.on(\"data\",function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(i._sourceLoaded=!0),i._sourceLoaded&&!i._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(i.reload(),i.transform&&i.update(i.transform))}),this.on(\"error\",function(){i._sourceErrored=!0}),this._source=D(r,n,a,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,function(){})},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,function(){})},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return Object.keys(this._tiles).map(Number).sort(Pt)},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var a in this._tiles)this._isIdRenderable(+a,e)&&n.push(+a);return e?n.sort(function(e,n){var a=r._tiles[e].tileID,i=r._tiles[n].tileID,o=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle),s=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle);return a.overscaledZ-i.overscaledZ||s.y-o.y||s.x-o.x}):n.sort(Pt)},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,a){if(a)return e.state=\"errored\",void(404!==a.status?this._source.fire(new t.ErrorEvent(a,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var a=this.getTileByID(n);i(t,a),i(a,t)}}function i(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,a=Math.pow(2,t.tileID.canonical.z),i=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+a)?r+=a:1===Math.abs(r-a)&&(r-=a)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[i]&&(t.neighboringTiles[i].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype.getZoom=function(t){return t.zoom+t.scaleZoom(t.tileSize/this._source.tileSize)},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var a in this._tiles){var i=this._tiles[a];if(!(n[a]||!i.hasData()||i.tileID.overscaledZ<=e||i.tileID.overscaledZ>r)){for(var o=i.tileID;i&&i.tileID.overscaledZ>e+1;){var s=i.tileID.scaledTo(i.tileID.overscaledZ-1);(i=this._tiles[s.key])&&i.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){for(var r=t.overscaledZ-1;r>=e;r--){var n=t.scaledTo(r);if(!n)return;var a=String(n.key),i=this._tiles[a];if(i&&i.hasData())return i;if(this._cache.has(n))return this._cache.get(n)}},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var a in this._tiles){var i=this._tiles[a];i.tileID=i.tileID.unwrapTo(i.tileID.wrap+r),n[i.tileID.key]=i}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var a;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?a=e.getVisibleUnwrappedCoordinates(this._source.tileID).map(function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)}):(a=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(a=a.filter(function(t){return n._source.hasTile(t)}))):a=[];var i=(this._source.roundZoom?Math.round:Math.floor)(this.getZoom(e)),o=Math.max(i-r.maxOverzooming,this._source.minzoom),s=Math.max(i+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(a,i);if(Ot(this._source.type)){for(var c={},u={},h=0,f=Object.keys(l);h<f.length;h+=1){var p=f[h],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var v=this.findLoadedParent(d,o);v&&(this._addTile(v.tileID),c[v.tileID.key]=v.tileID),u[p]=d}}for(var m in this._retainLoadedChildren(u,i,s,l),c)l[m]||(this._coveredTiles[m]=!0,l[m]=c[m])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},a={},i=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],h=this._addTile(u);n[u.key]=u,h.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var f=0,p=t;f<p.length;f+=1){var d=p[f],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var v=d.children(this._source.maxzoom)[0],m=this.getTile(v);if(m&&m.hasData()){n[v.key]=v;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=i;--b){var _=d.scaledTo(b);if(a[_.key])break;if(a[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout(function(){r._reloadTile(t,\"expired\"),delete r._timers[t]},n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var a=this,i=[],o=this.transform;if(!o)return i;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map(function(t){return o.pointCoordinate(t)}),c=s.map(function(t){return o.pointCoordinate(t)}),u=this.getIds(),h=1/0,f=1/0,p=-1/0,d=-1/0,g=0,v=c;g<v.length;g+=1){var m=v[g];h=Math.min(h,m.x),f=Math.min(f,m.y),p=Math.max(p,m.x),d=Math.max(d,m.y)}for(var y=function(e){var n=a._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),v=r*n.queryPadding*t.EXTENT/n.tileSize/g,m=[s.getTilePoint(new t.MercatorCoordinate(h,f)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(m[0].x-v<t.EXTENT&&m[0].y-v<t.EXTENT&&m[1].x+v>=0&&m[1].y+v>=0){var y=l.map(function(t){return s.getTilePoint(t)}),x=c.map(function(t){return s.getTilePoint(t)});i.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return i},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map(function(t){return e._tiles[t].tileID}),n=0,a=r;n<a.length;n+=1){var i=a[n];i.posMatrix=this.transform.calculatePosMatrix(i.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Ot(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r}(t.Evented);function Pt(t,e){return t%32-e%32||e-t}function Ot(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker($n.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var It=function(){this.active={}};It.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<It.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},It.prototype.release=function(t){delete this.active[t],0===Object.keys(this.active).length&&(this.workers.forEach(function(t){t.terminate()}),this.workers=null)};var Dt,Rt=Math.floor(t.browser.hardwareConcurrency/2);function Ft(e,r){var n={};for(var a in e)\"ref\"!==a&&(n[a]=e[a]);return t.refProperties.forEach(function(t){t in r&&(n[t]=r[t])}),n}function Bt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ft(t[n],e[t[n].ref]));return t}It.workerCount=Math.max(Math.min(Rt,6),1);var Nt={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function jt(t,e,r){r.push({command:Nt.addSource,args:[t,e[t]]})}function Vt(t,e,r){e.push({command:Nt.removeSource,args:[t]}),r[t]=!0}function Ut(t,e,r,n){Vt(t,r,n),jt(t,e,r)}function qt(e,r,n){var a;for(a in e[n])if(e[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;for(a in r[n])if(r[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;return!0}function Ht(e,r,n,a,i,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}))}function Gt(t){return t.id}function Yt(t,e){return t[e.id]=e,t}var Wt=function(t,e,r){var n=this.boxCells=[],a=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var i=0;i<this.xCellCount*this.yCellCount;i++)n.push([]),a.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Xt(e,r,n,a,i){var o=t.create();return r?(t.scale(o,o,[1/i,1/i,1]),n||t.rotateZ(o,o,a.angle)):t.multiply(o,a.labelPlaneMatrix,e),o}function Zt(e,r,n,a,i){if(r){var o=t.clone(e);return t.scale(o,o,[i,i,1]),n||t.rotateZ(o,o,-a.angle),o}return a.glCoordMatrix}function Jt(e,r){var n=[e.x,e.y,0,1];oe(n,n,r);var a=n[3];return{point:new t.Point(n[0]/a,n[1]/a),signedDistanceFromCamera:a}}function Kt(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function Qt(e,r,n,a,i,o,s,l){var c=a?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),h=[256/n.width*2+1,256/n.height*2+1],f=a?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=a?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,v=!1,m=0;m<d.length;m++){var y=d.get(m);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!v)ie(y.numGlyphs,f);else{v=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),Kt(x,h)){var b=.5+x[3]/n.transform.cameraToCenterDistance*.5,_=t.evaluateSizeForFeature(c,u,y),w=s?_*b:_/b,k=new t.Point(y.anchorX,y.anchorY),T=Jt(k,i).point,M={},A=ee(y,w,!1,l,r,i,o,e.glyphOffsetArray,p,f,T,k,M,g);v=A.useVertical,(A.notEnoughRoom||v||A.needsFlipping&&ee(y,w,!0,l,r,i,o,e.glyphOffsetArray,p,f,T,k,M,g).notEnoughRoom)&&ie(y.numGlyphs,f)}else ie(y.numGlyphs,f)}}a?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f)}function $t(t,e,r,n,a,i,o,s,l,c,u,h){var f=s.glyphStartIndex+s.numGlyphs,p=s.lineStartIndex,d=s.lineStartIndex+s.lineLength,g=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),m=ne(t*g,r,n,a,i,o,s.segment,p,d,l,c,u,h);if(!m)return null;var y=ne(t*v,r,n,a,i,o,s.segment,p,d,l,c,u,h);return y?{first:m,last:y}:null}function te(e,r,n,a){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*a?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function ee(e,r,n,a,i,o,s,l,c,u,h,f,p,d){var g,v=r/24,m=e.lineOffsetX*v,y=e.lineOffsetY*v;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=$t(v,l,m,y,n,h,f,e,c,o,p,!1);if(!w)return{notEnoughRoom:!0};var k=Jt(w.first.point,s).point,T=Jt(w.last.point,s).point;if(a&&!n){var M=te(e.writingMode,k,T,d);if(M)return M}g=[w.first];for(var A=e.glyphStartIndex+1;A<x-1;A++)g.push(ne(v*l.getoffsetX(A),m,y,n,h,f,e.segment,b,_,c,o,p,!1));g.push(w.last)}else{if(a&&!n){var S=Jt(f,i).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=Jt(L,i),P=C.signedDistanceFromCamera>0?C.point:re(f,L,S,1,i),O=te(e.writingMode,S,P,d);if(O)return O}var z=ne(v*l.getoffsetX(e.glyphStartIndex),m,y,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p,!1);if(!z)return{notEnoughRoom:!0};g=[z]}for(var I=0,D=g;I<D.length;I+=1){var R=D[I];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function re(t,e,r,n,a){var i=Jt(t.add(t.sub(e)._unit()),a).point,o=r.sub(i);return r.add(o._mult(n/o.mag()))}function ne(e,r,n,a,i,o,s,l,c,u,h,f,p){var d=a?e-r:e+r,g=d>0?1:-1,v=0;a&&(g*=-1,v=Math.PI),g<0&&(v+=Math.PI);for(var m=g>0?l+s:l+s+1,y=m,x=i,b=i,_=0,w=0,k=Math.abs(d);_+w<=k;){if((m+=g)<l||m>=c)return null;if(b=x,void 0===(x=f[m])){var T=new t.Point(u.getx(m),u.gety(m)),M=Jt(T,h);if(M.signedDistanceFromCamera>0)x=f[m]=M.point;else{var A=m-g;x=re(0===_?o:new t.Point(u.getx(A),u.gety(A)),T,b,k-_+1,h)}}_+=w,w=b.dist(x)}var S=(k-_)/w,E=x.sub(b),L=E.mult(S)._add(b);return L._add(E._unit()._perp()._mult(n*g)),{point:L,angle:v+Math.atan2(x.y-b.y,x.x-b.x),tileDistance:p?{prevTileDistance:m-g===y?0:u.gettileUnitDistanceFromAnchor(m-g),lastSegmentViewportDistance:k-_}:null}}Wt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Wt.prototype.insert=function(t,e,r,n,a){this._forEachCell(e,r,n,a,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(a)},Wt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Wt.prototype._insertBoxCell=function(t,e,r,n,a,i){this.boxCells[a].push(i)},Wt.prototype._insertCircleCell=function(t,e,r,n,a,i){this.circleCells[a].push(i)},Wt.prototype._query=function(t,e,r,n,a,i){if(r<0||t>this.width||n<0||e>this.height)return!a&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(a)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],h=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-h,y1:u-h,x2:c+h,y2:u+h})}return i?o.filter(i):o}var f={hitTest:a,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,f,i),a?o.length>0:o},Wt.prototype._queryCircle=function(t,e,r,n,a){var i=t-r,o=t+r,s=e-r,l=e+r;if(o<0||i>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(i,s,o,l,this._queryCellCircle,c,u,a),n?c.length>0:c},Wt.prototype.query=function(t,e,r,n,a){return this._query(t,e,r,n,!1,a)},Wt.prototype.hitTest=function(t,e,r,n,a){return this._query(t,e,r,n,!0,a)},Wt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Wt.prototype._queryCell=function(t,e,r,n,a,i,o,s){var l=o.seenUids,c=this.boxCells[a];if(null!==c)for(var u=this.bboxes,h=0,f=c;h<f.length;h+=1){var p=f[h];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return i.push(!0),!0;i.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[a];if(null!==g)for(var v=this.circles,m=0,y=g;m<y.length;m+=1){var x=y[m];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(v[b],v[b+1],v[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return i.push(!0),!0;var _=v[b],w=v[b+1],k=v[b+2];i.push({key:this.circleKeys[x],x1:_-k,y1:w-k,x2:_+k,y2:w+k})}}}},Wt.prototype._queryCellCircle=function(t,e,r,n,a,i,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[a];if(null!==u)for(var h=this.bboxes,f=0,p=u;f<p.length;f+=1){var d=p[f];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[g+0],h[g+1],h[g+2],h[g+3])&&(!s||s(this.boxKeys[d])))return i.push(!0),!0}}var v=this.circleCells[a];if(null!==v)for(var m=this.circles,y=0,x=v;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(m[_],m[_+1],m[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return i.push(!0),!0}}},Wt.prototype._forEachCell=function(t,e,r,n,a,i,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++){var d=this.xCellCount*p+f;if(a.call(this,t,e,r,n,d,i,o,s))return}},Wt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Wt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Wt.prototype._circlesCollide=function(t,e,r,n,a,i){var o=n-t,s=a-e,l=r+i;return l*l>o*o+s*s},Wt.prototype._circleAndRectCollide=function(t,e,r,n,a,i,o){var s=(i-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-a)/2,u=Math.abs(e-(a+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var h=l-s,f=u-c;return h*h+f*f<=r*r};var ae=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ie(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ae,3*n)}}function oe(t,e,r){var n=e[0],a=e[1];return t[0]=r[0]*n+r[4]*a+r[12],t[1]=r[1]*n+r[5]*a+r[13],t[3]=r[3]*n+r[7]*a+r[15],t}var se=function(t,e,r){void 0===e&&(e=new Wt(t.width+200,t.height+200,25)),void 0===r&&(r=new Wt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function le(t,e,r){t[e+4]=r?1:0}function ce(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}se.prototype.placeCollisionBox=function(t,e,r,n,a){var i=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*i.perspectiveRatio,s=t.x1*o+i.point.x,l=t.y1*o+i.point.y,c=t.x2*o+i.point.x,u=t.y2*o+i.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,a)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},se.prototype.approximateTileDistance=function(t,e,r,n,a){var i=a?1:n/this.pitchfactor,o=t.lastSegmentViewportDistance*r;return t.prevTileDistance+o+(i-1)*o*Math.abs(Math.sin(e))},se.prototype.placeCollisionCircles=function(e,r,n,a,i,o,s,l,c,u,h,f,p){var d=[],g=this.projectAnchor(c,i.anchorX,i.anchorY),v=l/24,m=i.lineOffsetX*l,y=i.lineOffsetY*l,x=new t.Point(i.anchorX,i.anchorY),b=$t(v,s,m,y,!1,Jt(x,u).point,x,i,o,u,{},!0),_=!1,w=!1,k=!0,T=g.perspectiveRatio*a,M=1/(a*n),A=0,S=0;b&&(A=this.approximateTileDistance(b.first.tileDistance,b.first.angle,M,g.cameraDistance,f),S=this.approximateTileDistance(b.last.tileDistance,b.last.angle,M,g.cameraDistance,f));for(var E=0;E<e.length;E+=5){var L=e[E],C=e[E+1],P=e[E+2],O=e[E+3];if(!b||O<-A||O>S)le(e,E,!1);else{var z=this.projectPoint(c,L,C),I=P*T;if(d.length>0){var D=z.x-d[d.length-4],R=z.y-d[d.length-3];if(I*I*2>D*D+R*R&&E+8<e.length){var F=e[E+8];if(F>-A&&F<S){le(e,E,!1);continue}}}var B=E/5;d.push(z.x,z.y,I,B),le(e,E,!0);var N=z.x-I,j=z.y-I,V=z.x+I,U=z.y+I;if(k=k&&this.isOffscreen(N,j,V,U),w=w||this.isInsideGrid(N,j,V,U),!r&&this.grid.hitTestCircle(z.x,z.y,I,p)){if(!h)return{circles:[],offscreen:!1};_=!0}}}return{circles:_||!w?[]:d,offscreen:k}},se.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,a=1/0,i=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),a=Math.min(a,u.y),i=Math.max(i,u.x),o=Math.max(o,u.y),r.push(u)}for(var h={},f={},p=0,d=this.grid.query(n,a,i,o).concat(this.ignoredGrid.query(n,a,i,o));p<d.length;p+=1){var g=d[p],v=g.key;if(void 0===h[v.bucketInstanceId]&&(h[v.bucketInstanceId]={}),!h[v.bucketInstanceId][v.featureIndex]){var m=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,m)&&(h[v.bucketInstanceId][v.featureIndex]=!0,void 0===f[v.bucketInstanceId]&&(f[v.bucketInstanceId]=[]),f[v.bucketInstanceId].push(v.featureIndex))}}return f},se.prototype.insertCollisionBox=function(t,e,r,n,a){var i={bucketInstanceId:r,featureIndex:n,collisionGroupID:a};(e?this.ignoredGrid:this.grid).insert(i,t[0],t[1],t[2],t[3])},se.prototype.insertCollisionCircles=function(t,e,r,n,a){for(var i=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:a},s=0;s<t.length;s+=4)i.insertCircle(o,t[s],t[s+1],t[s+2])},se.prototype.projectAnchor=function(t,e,r){var n=[e,r,0,1];return oe(n,n,t),{perspectiveRatio:.5+this.transform.cameraToCenterDistance/n[3]*.5,cameraDistance:n[3]}},se.prototype.projectPoint=function(e,r,n){var a=[r,n,0,1];return oe(a,a,e),new t.Point((a[0]/a[3]+1)/2*this.transform.width+100,(-a[1]/a[3]+1)/2*this.transform.height+100)},se.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var a=[r,n,0,1];return oe(a,a,e),{point:new t.Point((a[0]/a[3]+1)/2*this.transform.width+100,(-a[1]/a[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/a[3]*.5}},se.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},se.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary};var ue=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ue.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var he=function(t,e,r,n,a){this.text=new ue(t?t.text:null,e,r,a),this.icon=new ue(t?t.icon:null,e,n,a)};he.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var fe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},pe=function(t,e,r,n,a){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=a},de=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function ge(e,r,n,a,i){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateRadialOffset(e,a);return new t.Point(s+c[0]*i,l+c[1]*i)}de.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var ve=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new se(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new de(r),this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function me(t,e,r,n,a){t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0)}ve.prototype.placeLayerTile=function(e,r,n,a){var i=r.getBucket(e),o=r.latestFeatureIndex;if(i&&o&&e.id===i.layerIds[0]){var s=r.collisionBoxArray,l=i.layers[0].layout,c=Math.pow(2,this.transform.zoom-r.tileID.overscaledZ),u=r.tileSize/t.EXTENT,h=this.transform.calculatePosMatrix(r.tileID.toUnwrapped()),f=Xt(h,\"map\"===l.get(\"text-pitch-alignment\"),\"map\"===l.get(\"text-rotation-alignment\"),this.transform,ce(r,1,this.transform.zoom)),p=Xt(h,\"map\"===l.get(\"icon-pitch-alignment\"),\"map\"===l.get(\"icon-rotation-alignment\"),this.transform,ce(r,1,this.transform.zoom));this.retainedQueryData[i.bucketInstanceId]=new pe(i.bucketInstanceId,o,i.sourceLayerIndex,i.index,r.tileID),this.placeLayerBucket(i,h,f,p,c,u,n,r.holdingForFade(),a,s)}},ve.prototype.attemptAnchorPlacement=function(e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var v,m=ge(e,n,a,i,o),y=this.collisionIndex.placeCollisionBox(function(e,r,n,a,i,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,h=e.anchorPointX,f=e.anchorPointY,p=new t.Point(r,n);return a&&p._rotate(i?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:h,anchorPointY:f}}(r,m.x,m.y,s,l,this.transform.angle),f,c,u,h.predicate);if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID].text&&(v=this.prevPlacement.variableOffsets[p.crossTileID].anchor),this.variableOffsets[p.crossTileID]={radialOffset:i,width:n,height:a,anchor:e,textBoxScale:o,prevAnchor:v},this.markUsedJustification(d,e,p,g),d.allowVerticalPlacement&&(this.markUsedOrientation(d,g,p),this.placedOrientations[p.crossTileID]=g),y},ve.prototype.placeLayerBucket=function(e,r,n,a,i,o,s,l,c,u){var h=this,f=e.layers[0].layout,p=t.evaluateSizeForZoom(e.textSizeData,this.transform.zoom),d=f.get(\"text-optional\"),g=f.get(\"icon-optional\"),v=f.get(\"text-allow-overlap\"),m=f.get(\"icon-allow-overlap\"),y=v&&(m||!e.hasIconData()||g),x=m&&(v||!e.hasTextData()||d),b=this.collisionGroups.get(e.sourceID),_=\"map\"===f.get(\"text-rotation-alignment\"),w=\"map\"===f.get(\"text-pitch-alignment\"),k=\"viewport-y\"===f.get(\"symbol-z-order\");!e.collisionArrays&&u&&e.deserializeCollisionBoxes(u);var T=function(a,u){if(!c[a.crossTileID])if(l)h.placements[a.crossTileID]=new fe(!1,!1,!1);else{var m,k=!1,T=!1,M=!0,A={box:null,offscreen:null},S={box:null,offscreen:null},E=null,L=null,C=0,P=0,O=0;u.textFeatureIndex&&(C=u.textFeatureIndex),u.verticalTextFeatureIndex&&(P=u.verticalTextFeatureIndex);var z=u.textBox;if(z){var I=function(r){var n=t.WritingMode.horizontal;if(e.allowVerticalPlacement&&!r&&h.prevPlacement){var i=h.prevPlacement.placedOrientations[a.crossTileID];i&&(h.placedOrientations[a.crossTileID]=i,n=i,h.markUsedOrientation(e,n,a))}return n},D=function(r,n){if(e.allowVerticalPlacement&&a.numVerticalGlyphVertices>0&&u.verticalTextBox)for(var i=0,o=e.writingModes;i<o.length&&(o[i]===t.WritingMode.vertical?(A=n(),S=A):A=r(),!(A&&A.box&&A.box.length));i+=1);else A=r()};if(f.get(\"text-variable-anchor\")){var R=f.get(\"text-variable-anchor\");if(h.prevPlacement&&h.prevPlacement.variableOffsets[a.crossTileID]){var F=h.prevPlacement.variableOffsets[a.crossTileID];R.indexOf(F.anchor)>0&&(R=R.filter(function(t){return t!==F.anchor})).unshift(F.anchor)}var B=function(t,n){for(var i=t.x2-t.x1,s=t.y2-t.y1,l=a.textBoxScale,c={box:[],offscreen:!1},u=v?2*R.length:R.length,f=0;f<u;++f){var p=R[f%R.length],d=f>=R.length;if((c=h.attemptAnchorPlacement(p,t,i,s,a.radialTextOffset,l,_,w,o,r,b,d,a,e,n))&&c.box&&c.box.length){k=!0;break}}return c};D(function(){return B(z,t.WritingMode.horizontal)},function(){var r=u.verticalTextBox,n=A&&A.box&&A.box.length;return e.allowVerticalPlacement&&!n&&a.numVerticalGlyphVertices>0&&r?B(r,t.WritingMode.vertical):{box:null,offscreen:null}}),A&&(k=A.box,M=A.offscreen);var N=I(A&&A.box);if(!k&&h.prevPlacement){var j=h.prevPlacement.variableOffsets[a.crossTileID];j&&(h.variableOffsets[a.crossTileID]=j,h.markUsedJustification(e,j.anchor,a,N))}}else{var V=function(t,n){var i=h.collisionIndex.placeCollisionBox(t,f.get(\"text-allow-overlap\"),o,r,b.predicate);return i&&i.box&&i.box.length&&(h.markUsedOrientation(e,n,a),h.placedOrientations[a.crossTileID]=n),i};D(function(){return V(z,t.WritingMode.horizontal)},function(){var r=u.verticalTextBox;return e.allowVerticalPlacement&&a.numVerticalGlyphVertices>0&&r?V(r,t.WritingMode.vertical):{box:null,offscreen:null}}),I(A&&A.box&&A.box.length)}}k=(m=A)&&m.box&&m.box.length>0,M=m&&m.offscreen;var U=u.textCircles;if(U){var q=e.text.placedSymbolArray.get(a.centerJustifiedTextSymbolIndex),H=t.evaluateSizeForFeature(e.textSizeData,p,q);E=h.collisionIndex.placeCollisionCircles(U,f.get(\"text-allow-overlap\"),i,o,q,e.lineVertexArray,e.glyphOffsetArray,H,r,n,s,w,b.predicate),k=f.get(\"text-allow-overlap\")||E.circles.length>0,M=M&&E.offscreen}u.iconFeatureIndex&&(O=u.iconFeatureIndex),u.iconBox&&(T=(L=h.collisionIndex.placeCollisionBox(u.iconBox,f.get(\"icon-allow-overlap\"),o,r,b.predicate)).box.length>0,M=M&&L.offscreen);var G=d||0===a.numHorizontalGlyphVertices&&0===a.numVerticalGlyphVertices,Y=g||0===a.numIconVertices;G||Y?Y?G||(T=T&&k):k=T&&k:T=k=T&&k,k&&m&&m.box&&(S&&S.box&&P?h.collisionIndex.insertCollisionBox(m.box,f.get(\"text-ignore-placement\"),e.bucketInstanceId,P,b.ID):h.collisionIndex.insertCollisionBox(m.box,f.get(\"text-ignore-placement\"),e.bucketInstanceId,C,b.ID)),T&&L&&h.collisionIndex.insertCollisionBox(L.box,f.get(\"icon-ignore-placement\"),e.bucketInstanceId,O,b.ID),k&&E&&h.collisionIndex.insertCollisionCircles(E.circles,f.get(\"text-ignore-placement\"),e.bucketInstanceId,C,b.ID),h.placements[a.crossTileID]=new fe(k||y,T||x,M||e.justReloaded),c[a.crossTileID]=!0}};if(k)for(var M=e.getSortedSymbolIndexes(this.transform.angle),A=M.length-1;A>=0;--A){var S=M[A];T(e.symbolInstances.get(S),e.collisionArrays[S])}else for(var E=0;E<e.symbolInstances.length;++E)T(e.symbolInstances.get(E),e.collisionArrays[E]);e.justReloaded=!1},ve.prototype.markUsedJustification=function(e,r,n,a){var i,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};i=a===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=i>=0&&c!==i?0:n.crossTileID)}},ve.prototype.markUsedOrientation=function(e,r,n){for(var a=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,i=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=a}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=i)},ve.prototype.commit=function(t){this.commitTime=t;var e=this.prevPlacement,r=!1,n=e&&0!==this.fadeDuration?(this.commitTime-e.commitTime)/this.fadeDuration:1,a=e?e.opacities:{},i=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=a[s];c?(this.opacities[s]=new he(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new he(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in a){var h=a[u];if(!this.opacities[u]){var f=new he(h,n,!1,!1);f.isHidden()||(this.opacities[u]=f,r=r||h.text.placed||h.icon.placed)}}for(var p in i)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=i[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},ve.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,a=e;n<a.length;n+=1){var i=a[n],o=i.getBucket(t);o&&i.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,i.collisionBoxArray)}},ve.prototype.updateBucketOpacities=function(e,r,n){e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasCollisionBoxData()&&e.collisionBox.collisionVertexArray.clear(),e.hasCollisionCircleData()&&e.collisionCircle.collisionVertexArray.clear();var a=e.layers[0].layout,i=new he(null,0,!1,!1,!0),o=a.get(\"text-allow-overlap\"),s=a.get(\"icon-allow-overlap\"),l=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),u=\"map\"===a.get(\"text-pitch-alignment\"),h=new he(null,0,o&&(s||!e.hasIconData()||a.get(\"icon-optional\")),s&&(o||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasCollisionBoxData()||e.hasCollisionCircleData())&&e.deserializeCollisionBoxes(n);for(var f=0;f<e.symbolInstances.length;f++){var p=e.symbolInstances.get(f),d=p.numHorizontalGlyphVertices,g=p.numVerticalGlyphVertices,v=p.crossTileID,m=r[v],y=this.opacities[v];m?y=i:y||(y=h,this.opacities[v]=y),r[v]=!0;var x=d>0||g>0,b=p.numIconVertices>0;if(x){for(var _=Me(y.text),w=(d+g)/4,k=0;k<w;k++)e.text.opacityVertexArray.emplaceBack(_);var T=y.text.isHidden()?1:0,M=this.placedOrientations[p.crossTileID],A=M===t.WritingMode.horizontal||M===t.WritingMode.horizontalOnly?1:0,S=M===t.WritingMode.vertical?1:0;[p.rightJustifiedTextSymbolIndex,p.centerJustifiedTextSymbolIndex,p.leftJustifiedTextSymbolIndex].forEach(function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=T||S)}),p.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(p.verticalPlacedTextSymbolIndex).hidden=T||A);var E=this.variableOffsets[p.crossTileID];E&&this.markUsedJustification(e,E.anchor,p,M);var L=this.placedOrientations[p.crossTileID];L&&(this.markUsedJustification(e,\"left\",p,L),this.markUsedOrientation(e,L,p))}if(b){for(var C=Me(y.icon),P=0;P<p.numIconVertices/4;P++)e.icon.opacityVertexArray.emplaceBack(C);e.icon.placedSymbolArray.get(f).hidden=y.icon.isHidden()}if(e.hasCollisionBoxData()||e.hasCollisionCircleData()){var O=e.collisionArrays[f];if(O){if(O.textBox){var z=new t.Point(0,0),I=!0;if(l){var D=this.variableOffsets[v];D?(z=ge(D.anchor,D.width,D.height,D.radialOffset,D.textBoxScale),c&&z._rotate(u?this.transform.angle:-this.transform.angle)):I=!1}me(e.collisionBox.collisionVertexArray,y.text.placed,!I,z.x,z.y)}O.iconBox&&me(e.collisionBox.collisionVertexArray,y.icon.placed,!1);var R=O.textCircles;if(R&&e.hasCollisionCircleData())for(var F=0;F<R.length;F+=5){var B=m||0===R[F+4];me(e.collisionCircle.collisionVertexArray,y.text.placed,B)}}}}e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasCollisionBoxData()&&e.collisionBox.collisionVertexBuffer&&e.collisionBox.collisionVertexBuffer.updateData(e.collisionBox.collisionVertexArray),e.hasCollisionCircleData()&&e.collisionCircle.collisionVertexBuffer&&e.collisionCircle.collisionVertexBuffer.updateData(e.collisionCircle.collisionVertexArray)},ve.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration},ve.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},ve.prototype.stillRecent=function(t){return this.commitTime+this.fadeDuration>t},ve.prototype.setStale=function(){this.stale=!0};var ye=Math.pow(2,25),xe=Math.pow(2,24),be=Math.pow(2,17),_e=Math.pow(2,16),we=Math.pow(2,9),ke=Math.pow(2,8),Te=Math.pow(2,1);function Me(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ye+e*xe+r*be+e*_e+r*we+e*ke+r*Te+e}var Ae=function(){this._currentTileIndex=0,this._seenCrossTileIDs={}};Ae.prototype.continuePlacement=function(t,e,r,n,a){for(;this._currentTileIndex<t.length;){var i=t[this._currentTileIndex];if(e.placeLayerTile(n,i,r,this._seenCrossTileIDs),this._currentTileIndex++,a())return!0}};var Se=function(t,e,r,n,a,i,o){this.placement=new ve(t,a,i,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Se.prototype.isDone=function(){return this._done},Se.prototype.continuePlacement=function(e,r,n){for(var a=this,i=t.browser.now(),o=function(){var e=t.browser.now()-i;return!a._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Ae),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Se.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Ee=512/t.EXTENT/2,Le=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var a=e.get(n),i=a.key;this.indexedSymbolInstances[i]||(this.indexedSymbolInstances[i]=[]),this.indexedSymbolInstances[i].push({crossTileID:a.crossTileID,coord:this.getScaledCoordinates(a,t)})}};Le.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,a=Ee/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*a),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*a)}},Le.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),a=0;a<t.length;a++){var i=t.get(a);if(!i.crossTileID){var o=this.indexedSymbolInstances[i.key];if(o)for(var s=this.getScaledCoordinates(i,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,i.crossTileID=u.crossTileID;break}}}}};var Ce=function(){this.maxCrossTileID=0};Ce.prototype.generate=function(){return++this.maxCrossTileID};var Pe=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Pe.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],a={};for(var i in n){var o=n[i];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),a[o.tileID.key]=o}this.indexes[r]=a}this.lng=t},Pe.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var a=this.usedCrossTileIDs[t.overscaledZ];for(var i in this.indexes){var o=this.indexes[i];if(Number(i)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,a)}else{var c=o[t.scaledTo(Number(i)).key];c&&c.findMatches(e.symbolInstances,t,a)}}for(var u=0;u<e.symbolInstances.length;u++){var h=e.symbolInstances.get(u);h.crossTileID||(h.crossTileID=r.generate(),a[h.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Le(t,e.symbolInstances,e.bucketInstanceId),!0},Pe.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,a=e.indexedSymbolInstances[r];n<a.length;n+=1){var i=a[n];delete this.usedCrossTileIDs[t][i.crossTileID]}},Pe.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var a in n)t[n[a].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[a]),delete n[a],e=!0)}return e};var Oe=function(){this.layerIndexes={},this.crossTileIDs=new Ce,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Oe.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Pe);var a=!1,i={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(a=!0),i[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(i)&&(a=!0),a},Oe.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach(function(t){e[t]=!0}),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var ze=function(e,r){return t.emitValidationErrors(e,r&&r.filter(function(t){return\"source.canvas\"!==t.identifier}))},Ie=t.pick(Nt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),De=t.pick(Nt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Re=function(e){function r(n,a){var i=this;void 0===a&&(a={}),e.call(this),this.map=n,this.dispatcher=new T((Dt||(Dt=new It),Dt),this),this.imageManager=new f,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,a.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Oe,this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginAvailability(function(t){for(var e in o.dispatcher.broadcast(\"loadRTLTextPlugin\",t.pluginURL,t.completionCallback),o.sourceCaches)o.sourceCaches[e].reload()}),this.on(\"data\",function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=i.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in i._layers){var a=i._layers[n];a.source===r.id&&i._validateLayer(a)}}}})}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var a=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var i=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(i,function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,a)})},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame(function(){n._request=null,n._load(e,!1!==r.validate)})},r.prototype._load=function(e,r){var n=this;if(!r||!ze(this,t.validateStyle(e))){for(var a in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(a,e.sources[a],{validate:!1});e.sprite?this._spriteRequest=function(e,r,n){var a,i,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),function(t,e){l=null,o||(o=t,a=e,u())}),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),function(t,e){c=null,o||(o=t,i=e,u())});function u(){if(o)n(o);else if(a&&i){var e=t.browser.getImageData(i),r={};for(var s in a){var l=a[s],c=l.width,u=l.height,h=l.x,f=l.y,p=l.sdf,d=l.pixelRatio,g=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,g,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:g,pixelRatio:d,sdf:p}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e.sprite,this.map._requestManager,function(e,r){if(n._spriteRequest=null,e)n.fire(new t.ErrorEvent(e));else if(r)for(var a in r)n.imageManager.addImage(a,r[a]);n.imageManager.setLoaded(!0),n.fire(new t.Event(\"data\",{dataType:\"style\"}))}):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Bt(this.stylesheet.layers);this._order=i.map(function(t){return t.id}),this._layers={};for(var o=0,s=i;o<s.length;o+=1){var l=s[o];(l=t.createStyleLayer(l)).setEventedParent(this,{layer:{id:l.id}}),this._layers[l.id]=l}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var a=r.getSource();(\"geojson\"===a.type||a.vectorLayerIds&&-1===a.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+a.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var a=n[r],i=this._layers[a];\"custom\"!==i.type&&e.push(i.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),a=Object.keys(this._removedLayers);for(var i in(n.length||a.length)&&this._updateWorkerLayers(n,a),this._updatedSources){var o=this._updatedSources[i];\"reload\"===o?this._reloadSource(i):\"clear\"===o&&this._clearSource(i)}for(var s in this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var h=u[c],f=this._layers[h];f.recalculate(e),!f.isHidden(e.zoom)&&f.source&&(this.sourceCaches[f.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),ze(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Bt(e.layers);var n=function(e,r){if(!e)return[{command:Nt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Nt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Nt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Nt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Nt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Nt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Nt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Nt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Nt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Nt.setLight,args:[r.light]});var a={},i=[];!function(e,r,n,a){var i;for(i in r=r||{},e=e||{})e.hasOwnProperty(i)&&(r.hasOwnProperty(i)||Vt(i,n,a));for(i in r)r.hasOwnProperty(i)&&(e.hasOwnProperty(i)?t.deepEqual(e[i],r[i])||(\"geojson\"===e[i].type&&\"geojson\"===r[i].type&&qt(e,r,i)?n.push({command:Nt.setGeoJSONSourceData,args:[i,r[i].data]}):Ut(i,r,n,a)):jt(i,r,n))}(e.sources,r.sources,i,a);var o=[];e.layers&&e.layers.forEach(function(t){a[t.source]?n.push({command:Nt.removeLayer,args:[t.id]}):o.push(t)}),n=n.concat(i),function(e,r,n){r=r||[];var a,i,o,s,l,c,u,h=(e=e||[]).map(Gt),f=r.map(Gt),p=e.reduce(Yt,{}),d=r.reduce(Yt,{}),g=h.slice(),v=Object.create(null);for(a=0,i=0;a<h.length;a++)o=h[a],d.hasOwnProperty(o)?i++:(n.push({command:Nt.removeLayer,args:[o]}),g.splice(g.indexOf(o,i),1));for(a=0,i=0;a<f.length;a++)o=f[f.length-1-a],g[g.length-1-a]!==o&&(p.hasOwnProperty(o)?(n.push({command:Nt.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-i),1)):i++,c=g[g.length-a],n.push({command:Nt.addLayer,args:[d[o],c]}),g.splice(g.length-a,0,o),v[o]=!0);for(a=0;a<f.length;a++)if(s=p[o=f[a]],l=d[o],!v[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Ht(s.layout,l.layout,n,o,null,Nt.setLayoutProperty),Ht(s.paint,l.paint,n,o,null,Nt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Nt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Nt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Ht(s[u],l[u],n,o,u.slice(6),Nt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Nt.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Ht(s[u],l[u],n,o,u.slice(6),Nt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Nt.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Nt.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Nt.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Nt.setStyle,args:[r]}]}return n}(this.serialize(),e).filter(function(t){return!(t.command in De)});if(0===n.length)return!1;var a=n.filter(function(t){return!(t.command in Ie)});if(a.length>0)throw new Error(\"Unimplemented: \"+a.map(function(t){return t.command}).join(\", \")+\".\");return n.forEach(function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)}),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var a=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var i=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);i.style=this,i.setEventedParent(this,function(){return{isSourceLoaded:a.loaded(),source:i.serialize(),sourceId:e}}),i.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var a=e.id;if(this.getLayer(a))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+a+'\" already exists on this map')));else{var i;if(\"custom\"===e.type){if(ze(this,t.validateCustomStyleLayer(e)))return;i=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(a,e.source),e=t.clone$1(e),e=t.extend(e,{source:a})),this._validate(t.validateStyle.layer,\"layers.\"+a,e,{arrayIndex:-1},n))return;i=t.createStyleLayer(e),this._validateLayer(i),i.setEventedParent(this,{layer:{id:a}})}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,a),this._layerOrderChanged=!0,this._layers[a]=i,this._removedLayers[a]&&i.source&&\"custom\"!==i.type){var s=this._removedLayers[a];delete this._removedLayers[a],s.type!==i.type?this._updatedSources[i.source]=\"clear\":(this._updatedSources[i.source]=\"reload\",this.sourceCaches[i.source].pause())}this._updateLayer(i),i.onAdd&&i.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var a=r?this._order.indexOf(r):this._order.length;r&&-1===a?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(a,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var a=this.getLayer(e);a?a.minzoom===r&&a.maxzoom===n||(null!=r&&(a.minzoom=r),null!=n&&(a.maxzoom=n),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var a=this.getLayer(e);if(a){if(!t.deepEqual(a.filter,r))return null==r?(a.filter=void 0,void this._updateLayer(a)):void(this._validate(t.validateStyle.filter,\"layers.\"+a.id+\".filter\",r,null,n)||(a.filter=t.clone$1(r),this._updateLayer(a)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getLayoutProperty(r),n)||(i.setLayoutProperty(r,n,a),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getPaintProperty(r),n)||(i.setPaintProperty(r,n,a)&&this._updateLayer(i),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,a=e.sourceLayer,i=this.sourceCaches[n],o=parseInt(e.id,10);if(void 0!==i){var s=i.getSource().type;\"geojson\"===s&&a?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==s||a?isNaN(o)||o<0?this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided and non-negative.\"))):i.setFeatureState(a,o,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,a=this.sourceCaches[n];if(void 0!==a){var i=a.getSource().type,o=\"vector\"===i?e.sourceLayer:void 0,s=parseInt(e.id,10);\"vector\"!==i||o?void 0!==e.id&&isNaN(s)||s<0?this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be non-negative.\"))):r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):a.removeFeatureState(o,s,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,a=this.sourceCaches[r],i=parseInt(e.id,10);if(void 0!==a)if(\"vector\"!==a.getSource().type||n){if(!(isNaN(i)||i<0))return a.getFeatureState(n,i);this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided and non-negative.\")))}else this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,function(t){return t.serialize()}),layers:this._serializeLayers(this._order)},function(t){return void 0!==t})},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},a=[],i=this._order.length-1;i>=0;i--){var o=this._order[i];if(r(o)){n[o]=i;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,h=c;u<h.length;u+=1){var f=h[u];a.push(f)}}}}a.sort(function(t,e){return e.intersectionZ-t.intersectionZ});for(var p=[],d=this._order.length-1;d>=0;d--){var g=this._order[d];if(r(g))for(var v=a.length-1;v>=0;v--){var m=a[v].feature;if(n[m.layer.id]<d)break;p.push(m),a.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][g];if(b)for(var _=0,w=b;_<w.length;_+=1){var k=w[_];p.push(k.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var a={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var i=0,o=r.layers;i<o.length;i+=1){var s=o[i],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];a[l.source]=!0}}var c=[];for(var u in this.sourceCaches)r.layers&&!a[u]||c.push(F(this.sourceCaches[u],this._layers,e,r,n));return this.placement&&c.push(function(t,e,r,n,a,i){for(var o={},s=a.queryRenderedSymbols(r),l=[],c=0,u=Object.keys(s).map(Number);c<u.length;c+=1){var h=u[c];l.push(i[h])}l.sort(B);for(var f=function(){var e=d[p],r=e.featureIndex.lookupSymbolFeatures(s[e.bucketInstanceId],e.bucketIndex,e.sourceLayerIndex,n.filter,n.layers,t);for(var a in r){var i=o[a]=o[a]||[],l=r[a];l.sort(function(t,r){var n=e.featureSortOrder;if(n){var a=n.indexOf(t.featureIndex);return n.indexOf(r.featureIndex)-a}return r.featureIndex-t.featureIndex});for(var c=0,u=l;c<u.length;c+=1){var h=u[c];i.push(h)}}},p=0,d=l;p<d.length;p+=1)f();var g=function(r){o[r].forEach(function(n){var a=n.feature,i=t[r],o=e[i.source].getFeatureState(a.layer[\"source-layer\"],a.id);a.source=a.layer.source,a.layer[\"source-layer\"]&&(a.sourceLayer=a.layer[\"source-layer\"]),a.state=o})};for(var v in o)g(v);return o}(this._layers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map(function(e){return t.getTileByID(e)}),n=[],a={},i=0;i<r.length;i++){var o=r[i],s=o.tileID.canonical.key;a[s]||(a[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),a=!1;for(var i in e)if(!t.deepEqual(e[i],n[i])){a=!0;break}if(a){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,a,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&ze(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},a)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginAvailable\",this._rtlTextPluginCallback),this.sourceCaches)this.sourceCaches[e].clearTiles();this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,a){for(var i=!1,o=!1,s={},l=0,c=this._order;l<c.length;l+=1){var u=c[l],h=this._layers[u];if(\"symbol\"===h.type){if(!s[h.source]){var f=this.sourceCaches[h.source];s[h.source]=f.getRenderableIds(!0).map(function(t){return f.getTileByID(t)}).sort(function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)})}var p=this.crossTileSymbolIndex.addLayer(h,s[h.source],e.center.lng);i=i||p}}this.crossTileSymbolIndex.pruneUnusedLayers(this._order);var d=this._layerOrderChanged||0===n;if((d||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now()))&&(this.pauseablePlacement=new Se(e,this._order,d,r,n,a,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,s),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),o=!0),i&&this.pauseablePlacement.placement.setStale()),o||i)for(var g=0,v=this._order;g<v.length;g+=1){var m=v[g],y=this._layers[m];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,s[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Re.getSourceType=function(t){return I[t]},Re.setSourceType=function(t,e){I[t]=e},Re.registerForPluginAvailability=t.registerForPluginAvailability;var Fe=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Be=cr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Ne=cr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),je=cr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ve=cr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Ue=cr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),qe=cr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),He=cr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),Ge=cr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),Ye=cr(\"uniform float u_overscale_factor;varying float v_placed;varying float v_notUsed;varying float v_radius;varying vec2 v_extrude;varying vec2 v_extrude_scale;void main() {float alpha=0.5;vec4 color=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {color=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {color*=.2;}float extrude_scale_length=length(v_extrude_scale);float extrude_length=length(v_extrude)*extrude_scale_length;float stroke_width=15.0*extrude_scale_length/u_overscale_factor;float radius=v_radius*extrude_scale_length;float distance_to_edge=abs(extrude_length-radius);float opacity_t=smoothstep(-stroke_width,0.0,-distance_to_edge);gl_FragColor=opacity_t*color;}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;varying float v_radius;varying vec2 v_extrude;varying vec2 v_extrude_scale;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);highp float padding_factor=1.2;gl_Position.xy+=a_extrude*u_extrude_scale*padding_factor*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;v_radius=abs(a_extrude.y);v_extrude=a_extrude*padding_factor;v_extrude_scale=u_extrude_scale*u_camera_to_center_distance*collision_perspective_ratio;}\"),We=cr(\"uniform highp vec4 u_color;void main() {gl_FragColor=u_color;}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Xe=cr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ze=cr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),Je=cr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec4 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float pixelRatio=u_scale.x;float tileRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),Ke=cr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec4 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float pixelRatio=u_scale.x;float tileZoomRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),Qe=cr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),$e=cr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec4 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float pixelRatio=u_scale.x;float tileRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),tr=cr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;return (data.r+data.g*256.0+data.b*256.0*256.0)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),er=cr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),rr=cr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),nr=cr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),ar=cr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec4 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float pixelRatio=u_scale.x;float tileZoomRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x,1.0);float x_b=mod(v_linesofar/pattern_size_b.x,1.0);float y_a=0.5+(v_normal.y*clamp(v_width2.s,0.0,(pattern_size_a.y+2.0)/2.0)/pattern_size_a.y);float y_b=0.5+(v_normal.y*clamp(v_width2.s,0.0,(pattern_size_b.y+2.0)/2.0)/pattern_size_b.y);vec2 pos_a=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,vec2(x_a,y_a));vec2 pos_b=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,vec2(x_b,y_b));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);}\"),ir=cr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),or=cr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),sr=cr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size[0],a_size[1],u_size_t)/256.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size[0]/256.0;} else if (!u_is_size_zoom_constant && u_is_size_feature_constant) {size=u_size;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),lr=cr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size[0],a_size[1],u_size_t)/256.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size[0]/256.0;} else if (!u_is_size_zoom_constant && u_is_size_feature_constant) {size=u_size;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=vec2(tex.x,tex.y);v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\");function cr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,function(t,e,r,a,i){return n[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"}),vertexSource:e=e.replace(r,function(t,e,r,a,i){var o=\"float\"===a?\"vec2\":\"vec4\",s=i.match(/color/)?\"color\":o;return n[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})}}var ur=Object.freeze({prelude:Be,background:Ne,backgroundPattern:je,circle:Ve,clippingMask:Ue,heatmap:qe,heatmapTexture:He,collisionBox:Ge,collisionCircle:Ye,debug:We,fill:Xe,fillOutline:Ze,fillOutlinePattern:Je,fillPattern:Ke,fillExtrusion:Qe,fillExtrusionPattern:$e,hillshadePrepare:tr,hillshade:er,line:rr,lineGradient:nr,linePattern:ar,lineSDF:ir,raster:or,symbolIcon:sr,symbolSDF:lr}),hr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};hr.prototype.bind=function(t,e,r,n,a,i,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==a||this.boundVertexOffset!==i||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,a,i,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),a&&a.dynamicDraw&&a.bind(),s&&s.bind())},hr.prototype.freshBind=function(t,e,r,n,a,i,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=a,this.boundDynamicVertexBuffer=i,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var h=l;h<s;h++)u.disableVertexAttribArray(h)}e.enableAttributes(u,t);for(var f=0,p=r;f<p.length;f+=1)p[f].enableAttributes(u,t);i&&i.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,a);for(var d=0,g=r;d<g.length;d+=1){var v=g[d];v.bind(),v.setVertexAttribPointers(u,t,a)}i&&(i.bind(),i.setVertexAttribPointers(u,t,a)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,a)),c.currentNumAttributes=l},hr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var fr=function(t,e,r,n,a){var i=t.gl;this.program=i.createProgram();var o=r.defines();a&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Be.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Be.vertexSource,e.vertexSource).join(\"\\n\"),c=i.createShader(i.FRAGMENT_SHADER);i.shaderSource(c,s),i.compileShader(c),i.attachShader(this.program,c);var u=i.createShader(i.VERTEX_SHADER);i.shaderSource(u,l),i.compileShader(u),i.attachShader(this.program,u);for(var h=r.layoutAttributes||[],f=0;f<h.length;f++)i.bindAttribLocation(this.program,f,h[f].name);i.linkProgram(this.program),this.numAttributes=i.getProgramParameter(this.program,i.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=i.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=i.getAttribLocation(this.program,g.name))}for(var v=i.getProgramParameter(this.program,i.ACTIVE_UNIFORMS),m=0;m<v;m++){var y=i.getActiveUniform(this.program,m);y&&(p[y.name]=i.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r.getUniforms(t,p)};function pr(e,r,n){var a=1/ce(n,1,r.transform.tileZoom),i=Math.pow(2,n.tileID.overscaledZ),o=n.tileSize*Math.pow(2,r.transform.tileZoom)/i,s=o*(n.tileID.canonical.x+n.tileID.wrap*i),l=o*n.tileID.canonical.y;return{u_image:0,u_texsize:n.imageAtlasTexture.size,u_scale:[t.browser.devicePixelRatio,a,e.fromScale,e.toScale],u_fade:e.t,u_pixel_coord_upper:[s>>16,l>>16],u_pixel_coord_lower:[65535&s,65535&l]}}fr.prototype.draw=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var v,m=t.gl;for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(a),t.setCullFace(i),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(v={},v[m.LINES]=2,v[m.TRIANGLES]=3,v[m.LINE_STRIP]=1,v)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],k=w.vaos||(w.vaos={});(k[s]||(k[s]=new hr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),m.drawElements(e,w.primitiveLength*x,m.UNSIGNED_SHORT,w.primitiveOffset*x*2)}};var dr=function(e,r,n,a){var i=r.style.light,o=i.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===i.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=i.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:i.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:a}},gr=function(e,r,n,a,i,o,s){return t.extend(dr(e,r,n,a),pr(o,r,s),{u_height_factor:-Math.pow(2,i.overscaledZ)/s.tileSize/8})},vr=function(t){return{u_matrix:t}},mr=function(e,r,n,a){return t.extend(vr(e),pr(n,r,a))},yr=function(t,e){return{u_matrix:t,u_world:e}},xr=function(e,r,n,a,i){return t.extend(mr(e,r,n,a),{u_world:i})},br=function(e,r,n,a){var i,o,s=e.transform;if(\"map\"===a.paint.get(\"circle-pitch-alignment\")){var l=ce(n,1,s.zoom);i=!0,o=[l,l]}else i=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===a.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,a.paint.get(\"circle-translate\"),a.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+i,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},_r=function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},wr=function(t,e,r){var n=ce(r,1,e.zoom),a=Math.pow(2,e.zoom-r.tileID.overscaledZ),i=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*a),e.pixelsToGLUnits[1]/(n*a)],u_overscale_factor:i}},kr=function(t,e){return{u_matrix:t,u_color:e}},Tr=function(t){return{u_matrix:t}},Mr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ce(e,1,r),u_intensity:n}},Ar=function(t,e,r){var n=r.paint.get(\"hillshade-shadow-color\"),a=r.paint.get(\"hillshade-highlight-color\"),i=r.paint.get(\"hillshade-accent-color\"),o=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Er(t,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),o],u_shadow:n,u_highlight:a,u_accent:i}},Sr=function(e,r){var n=e.dem.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[n,n],u_zoom:e.tileID.overscaledZ,u_maxzoom:r}};function Er(e,r){var n=Math.pow(2,r.canonical.z),a=r.canonical.y;return[new t.MercatorCoordinate(0,a/n).toLngLat().lat,new t.MercatorCoordinate(0,(a+1)/n).toLngLat().lat]}var Lr=function(e,r,n){var a=e.transform;return{u_matrix:Ir(e,r,n),u_ratio:1/ce(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Cr=function(e,r,n){return t.extend(Lr(e,r,n),{u_image:0})},Pr=function(e,r,n,a){var i=e.transform,o=zr(r,i);return{u_matrix:Ir(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ce(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[t.browser.devicePixelRatio,o,a.fromScale,a.toScale],u_fade:a.t,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Or=function(e,r,n,a,i){var o=e.transform,s=e.lineAtlas,l=zr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(a.from,c),h=s.getDash(a.to,c),f=u.width*i.fromScale,p=h.width*i.toScale;return t.extend(Lr(e,r,n),{u_patternscale_a:[l/f,-u.height/2],u_patternscale_b:[l/p,-h.height/2],u_sdfgamma:s.width/(256*Math.min(f,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:h.y,u_mix:i.t})};function zr(t,e){return 1/ce(t,1,e.tileZoom)}function Ir(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Dr=function(t,e,r,n,a){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*a.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:a.paint.get(\"raster-brightness-min\"),u_brightness_high:a.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=a.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(i=a.paint.get(\"raster-contrast\"),i>0?1/(1-i):1+i),u_spin_weights:Rr(a.paint.get(\"raster-hue-rotate\"))};var i,o};function Rr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Fr=function(t,e,r,n,a,i,o,s,l,c){var u=a.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:a.options.fadeDuration?a.symbolFadeChange:1,u_matrix:i,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Br=function(e,r,n,a,i,o,s,l,c,u,h){var f=i.transform;return t.extend(Fr(e,r,n,a,i,o,s,l,c,u),{u_gamma_scale:a?Math.cos(f._pitch)*f.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+h})},Nr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},jr=function(e,r,n,a,i,o){return t.extend(function(t,e,r,n){var a=r.imageManager.getPattern(t.from),i=r.imageManager.getPattern(t.to),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,h=u*(n.tileID.canonical.x+n.tileID.wrap*c),f=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:a.tl,u_pattern_br_a:a.br,u_pattern_tl_b:i.tl,u_pattern_br_b:i.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:a.displaySize,u_pattern_size_b:i.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ce(n,1,r.transform.tileZoom),u_pixel_coord_upper:[h>>16,f>>16],u_pixel_coord_lower:[65535&h,65535&f]}}(a,o,n,i),{u_matrix:e,u_opacity:r})},Vr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform4f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform4f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform4f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:_r,collisionCircle:_r,debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform4f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1f(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1f(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1f(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Ur(e,r){for(var n=e.sort(function(t,e){return t.tileID.isLessThan(e.tileID)?-1:e.tileID.isLessThan(t.tileID)?1:0}),a=0;a<n.length;a++){var i={},o=n[a],s=n.slice(a+1);qr(o.tileID.wrapped(),o.tileID,s,new t.OverscaledTileID(0,o.tileID.wrap+1,0,0,0),i),o.setMask(i,r)}}function qr(e,r,n,a,i){for(var o=0;o<n.length;o++){var s=n[o];if(a.isLessThan(s.tileID))break;if(r.key===s.tileID.key)return;if(s.tileID.isChildOf(r)){for(var l=r.children(1/0),c=0;c<l.length;c++)qr(e,l[c],n.slice(o),a,i);return}}var u=r.overscaledZ-e.overscaledZ,h=new t.CanonicalTileID(u,r.canonical.x-(e.canonical.x<<u),r.canonical.y-(e.canonical.y<<u));i[h.key]=i[h.key]||h}function Hr(t,e,r,n,a){for(var i=t.context,o=i.gl,s=a?t.useProgram(\"collisionCircle\"):t.useProgram(\"collisionBox\"),l=0;l<n.length;l++){var c=n[l],u=e.getTile(c),h=u.getBucket(r);if(h){var f=a?h.collisionCircle:h.collisionBox;f&&s.draw(i,a?o.TRIANGLES:o.LINES,Mt.disabled,At.disabled,t.colorModeForRenderPass(),Et.disabled,wr(c.posMatrix,t.transform,u),r.id,f.layoutVertexBuffer,f.indexBuffer,f.segments,null,t.transform.zoom,null,null,f.collisionVertexBuffer)}}}var Gr=t.identity(new Float32Array(16));function Yr(e,r,n,a,i,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateRadialOffset(e,a);return new t.Point((l/i+u[0])*o,(c/i+u[1])*o)}function Wr(e,r,n,a,i,o,s,l,c,u){var h=e.text.placedSymbolArray,f=e.text.dynamicLayoutVertexArray;f.clear();for(var p=0;p<h.length;p++){var d=h.get(p),g=e.allowVerticalPlacement&&!d.placedOrientation,v=d.hidden||!d.crossTileID||g?null:a[d.crossTileID];if(v){var m=new t.Point(d.anchorX,d.anchorY),y=Jt(m,n?l:s),x=.5+o.cameraToCenterDistance/y.signedDistanceFromCamera*.5,b=i.evaluateSizeForFeature(e.textSizeData,u,d)*x/t.ONE_EM;n&&(b*=e.tilePixelRatio/c);for(var _=v.width,w=v.height,k=v.radialOffset,T=v.textBoxScale,M=Yr(v.anchor,_,w,k,T,b),A=n?Jt(m.add(M),s).point:y.point.add(r?M.rotate(-o.angle):M),S=e.allowVerticalPlacement&&d.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,E=0;E<d.numGlyphs;E++)t.addDynamicAttributes(f,A,S)}else ie(d.numGlyphs,f)}e.text.dynamicLayoutVertexBuffer.updateData(f)}function Xr(e){var r=e.text.placedSymbolArray,n=e.text.dynamicLayoutVertexArray;n.clear();for(var a=0;a<r.length;a++){var i=r.get(a);if(i.hidden||!i.placedOrientation)ie(i.numGlyphs,n);else for(var o=new t.Point(i.anchorX,i.anchorY),s=e.allowVerticalPlacement&&i.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,l=0;l<i.numGlyphs;l++)t.addDynamicAttributes(n,o,s)}e.text.dynamicLayoutVertexBuffer.updateData(n)}function Zr(e,r,n,a,i,o,s,l,c,u,h,f,p){for(var d,g,v=e.context,m=v.gl,y=e.transform,x=\"map\"===l,b=\"map\"===c,_=x&&\"point\"!==n.layout.get(\"symbol-placement\"),w=x&&!b&&!_,k=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),T=e.depthModeForSublayer(0,Mt.ReadOnly),M=n.layout.get(\"text-variable-anchor\"),A=[],S=0,E=a;S<E.length;S+=1){var L=E[S],C=r.getTile(L),P=C.getBucket(n);if(P){var O=i?P.text:P.icon;if(O&&O.segments.get().length){var z=O.programConfigurations.get(n.id),I=i||P.sdfIcons,D=i?P.textSizeData:P.iconSizeData;d||(d=e.useProgram(I?\"symbolSDF\":\"symbolIcon\",z),g=t.evaluateSizeForZoom(D,y.zoom)),v.activeTexture.set(m.TEXTURE0);var R=void 0,F=void 0,B=void 0;if(i)F=C.glyphAtlasTexture,B=m.LINEAR,R=C.glyphAtlasTexture.size;else{var N=1!==n.layout.get(\"icon-size\").constantOr(0)||P.iconsNeedLinear,j=b||0!==y.pitch;F=C.imageAtlasTexture,B=I||e.options.rotating||e.options.zooming||N||j?m.LINEAR:m.NEAREST,R=C.imageAtlasTexture.size}var V=ce(C,1,e.transform.zoom),U=Xt(L.posMatrix,b,x,e.transform,V),q=Zt(L.posMatrix,b,x,e.transform,V);if(_)Qt(P,L.posMatrix,e,i,U,q,b,u);else if(i&&g&&M){var H=Math.pow(2,y.zoom-C.tileID.overscaledZ);Wr(P,x,b,p,t.symbolSize,y,U,L.posMatrix,H,g)}else i&&g&&P.allowVerticalPlacement&&Xr(P);var G=e.translatePosMatrix(L.posMatrix,C,o,s),Y=_||i&&M?Gr:U,W=e.translatePosMatrix(q,C,o,s,!0),X=I&&0!==n.paint.get(i?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Z={program:d,buffers:O,uniformValues:I?Br(D.kind,g,w,b,e,G,Y,W,i,R,!0):Fr(D.kind,g,w,b,e,G,Y,W,i,R),atlasTexture:F,atlasInterpolation:B,isSDF:I,hasHalo:X};if(k)for(var J=0,K=O.segments.get();J<K.length;J+=1){var Q=K[J];A.push({segments:new t.SegmentVector([Q]),sortKey:Q.sortKey,state:Z})}else A.push({segments:O.segments,sortKey:0,state:Z})}}}k&&A.sort(function(t,e){return t.sortKey-e.sortKey});for(var $=0,tt=A;$<tt.length;$+=1){var et=tt[$],rt=et.state;if(rt.atlasTexture.bind(rt.atlasInterpolation,m.CLAMP_TO_EDGE),rt.isSDF){var nt=rt.uniformValues;rt.hasHalo&&(nt.u_is_halo=1,Jr(rt.buffers,et.segments,n,e,rt.program,T,h,f,nt)),nt.u_is_halo=0}Jr(rt.buffers,et.segments,n,e,rt.program,T,h,f,rt.uniformValues)}}function Jr(t,e,r,n,a,i,o,s,l){var c=n.context,u=c.gl;a.draw(c,u.TRIANGLES,i,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function Kr(t,e,r,n,a,i,o){var s,l,c,u,h,f=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=f.LINES):(l=d?\"fillPattern\":\"fill\",s=f.TRIANGLES);for(var v=0,m=n;v<m.length;v+=1){var y=m[v],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(f.TEXTURE0),x.imageAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),_.updatePatternPaintBuffers(g));var k=p.constantOr(null);if(k&&x.imageAtlas){var T=x.imageAtlas.patternPositions[k.to],M=x.imageAtlas.patternPositions[k.from];T&&M&&_.setConstantPatternPositions(T,M)}var A=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,h=b.segments2;var S=[f.drawingBufferWidth,f.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?xr(A,t,g,x,S):yr(A,S)}else u=b.indexBuffer,h=b.segments,c=d?mr(A,t,g,x):vr(A);w.draw(t.context,s,a,t.stencilModeForClipping(y),i,Et.disabled,c,r.id,b.layoutVertexBuffer,u,h,r.paint,t.transform.zoom,_)}}}}function Qr(t,e,r,n,a,i,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),h=r.getCrossfadeParameters(),f=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var g=d[p],v=e.getTile(g),m=v.getBucket(r);if(m){var y=m.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),v.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePatternPaintBuffers(h));var b=c.constantOr(null);if(b&&v.imageAtlas){var _=v.imageAtlas.patternPositions[b.to],w=v.imageAtlas.patternPositions[b.from];_&&w&&y.setConstantPatternPositions(_,w)}var k=t.translatePosMatrix(g.posMatrix,v,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),T=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?gr(k,t,T,f,g,h,v):dr(k,t,T,f);x.draw(s,s.gl.TRIANGLES,a,i,o,Et.backCCW,M,r.id,m.layoutVertexBuffer,m.indexBuffer,m.segments,r.paint,t.transform.zoom,y)}}}function $r(t,e,r,n,a,i){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=Ar(t,e,r);e.maskedBoundsBuffer&&e.maskedIndexBuffer&&e.segments?c.draw(o,s.TRIANGLES,n,a,i,Et.disabled,u,r.id,e.maskedBoundsBuffer,e.maskedIndexBuffer,e.segments):c.draw(o,s.TRIANGLES,n,a,i,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function tn(e,r,n,a,i,o,s){var l=e.context,c=l.gl;if(r.dem&&r.dem.data){var u=r.dem.dim,h=r.dem.stride,f=r.dem.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var p=r.demTexture;p.update(f,{premultiply:!1}),p.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,f,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var d=r.fbo;if(!d){var g=new t.Texture(l,{width:u,height:u,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(d=r.fbo=l.createFramebuffer(u,u)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(d.framebuffer),l.viewport.set([0,0,u,u]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,i,o,s,Et.disabled,Sr(r,a),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function en(e,r,n,a,i){var o=a.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),h=i.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(e.tileID.overscaledZ-h),p=f&&e.refreshedUponExpiration?1:t.clamp(f?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}function rn(e,r,n){var 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c=e.context,u=c.gl,h=e.depthModeForSublayer(0,Mt.ReadOnly),f=At.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<a.length;g++){var v=a[g],m=r.getTile(v),y=m.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:br(e,v,m,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var k=w[_];d.push({segments:new t.SegmentVector([k]),sortKey:k.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort(function(t,e){return t.sortKey-e.sortKey});for(var T=0,M=d;T<M.length;T+=1){var A=M[T],S=A.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,z=A.segments;L.draw(c,u.TRIANGLES,h,f,p,Et.disabled,O,n.id,C,P,z,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,a){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var i=e.context,o=i.gl,s=e.depthModeForSublayer(0,Mt.ReadOnly),l=At.disabled,c=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var a=r.heatmapFbo;if(a)n.bindTexture(n.TEXTURE_2D,a.colorAttachment.get()),t.bindFramebuffer.set(a.framebuffer);else{var i=n.createTexture();n.bindTexture(n.TEXTURE_2D,i),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),a=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4),function t(e,r,n,a){var i=e.gl;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,r.width/4,r.height/4,0,i.RGBA,e.extTextureHalfFloat?e.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE,null),a.colorAttachment.set(n),e.extTextureHalfFloat&&i.checkFramebufferStatus(i.FRAMEBUFFER)!==i.FRAMEBUFFER_COMPLETE&&(e.extTextureHalfFloat=null,a.colorAttachment.setDirty(),t(e,r,n,a))}(t,e,i,a)}}(i,e,n),i.clear({color:t.Color.transparent});for(var u=0;u<a.length;u++){var h=a[u];if(!r.hasRenderableParent(h)){var f=r.getTile(h),p=f.getBucket(n);if(p){var d=p.programConfigurations.get(n.id),g=e.useProgram(\"heatmap\",d),v=e.transform.zoom;g.draw(i,o.TRIANGLES,s,l,c,Et.disabled,Mr(h.posMatrix,f,v,n.paint.get(\"heatmap-intensity\")),n.id,p.layoutVertexBuffer,p.indexBuffer,p.segments,n.paint,e.transform.zoom,d)}}}i.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,a=n.gl,i=r.heatmapFbo;if(i){n.activeTexture.set(a.TEXTURE0),a.bindTexture(a.TEXTURE_2D,i.colorAttachment.get()),n.activeTexture.set(a.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,a.RGBA)),o.bind(a.LINEAR,a.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,a.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,a){var i=t.create();t.ortho(i,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:i,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:a,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,a){if(\"translucent\"===e.renderPass){var i=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==i.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),h=u.constantOr(1),f=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=c?\"lineSDF\":h?\"linePattern\":f?\"lineGradient\":\"line\",g=e.context,v=g.gl,m=!0;if(f){g.activeTexture.set(v.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,v.RGBA)),y.bind(v.LINEAR,v.CLAMP_TO_EDGE)}for(var x=0,b=a;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!h||w.patternsLoaded()){var k=w.getBucket(n);if(k){var T=k.programConfigurations.get(n.id),M=e.context.program.get(),A=e.useProgram(d,T),S=m||A.program!==M,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas.patternPositions[E.to],C=w.imageAtlas.patternPositions[E.from];L&&C&&T.setConstantPatternPositions(L,C)}var P=c?Or(e,w,n,c,p):h?Pr(e,w,n,p):f?Cr(e,w,n):Lr(e,w,n);c&&(S||e.lineAtlas.dirty)?(g.activeTexture.set(v.TEXTURE0),e.lineAtlas.bind(g)):h&&(g.activeTexture.set(v.TEXTURE0),w.imageAtlasTexture.bind(v.LINEAR,v.CLAMP_TO_EDGE),T.updatePatternPaintBuffers(p)),A.draw(g,v.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,P,n.id,k.layoutVertexBuffer,k.indexBuffer,k.segments,n.paint,e.transform.zoom,T),m=!1}}}}}},fill:function(e,r,n,a){var i=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===i.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);Kr(e,r,n,a,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var h=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);Kr(e,r,n,a,h,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var a=r.paint.get(\"fill-extrusion-opacity\");if(0!==a&&\"translucent\"===t.renderPass){var i=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==a||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))Qr(t,e,r,n,i,At.disabled,St.disabled),Qr(t,e,r,n,i,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();Qr(t,e,r,n,i,At.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var a=t.context,i=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=At.disabled,l=t.colorModeForRenderPass(),c=0,u=n;c<u.length;c+=1){var h=u[c],f=e.getTile(h);f.needsHillshadePrepare&&\"offscreen\"===t.renderPass?tn(t,f,r,i,o,s,l):\"translucent\"===t.renderPass&&$r(t,f,r,o,s,l)}a.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\"))for(var a=t.context,i=a.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=At.disabled,c=t.colorModeForRenderPass(),u=n.length&&n[0].overscaledZ,h=!t.options.moving,f=0,p=n;f<p.length;f+=1){var d=p[f],g=t.depthModeForSublayer(d.overscaledZ-u,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,i.LESS),v=e.getTile(d),m=t.transform.calculatePosMatrix(d.toUnwrapped(),h);v.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var y=e.findLoadedParent(d,0),x=en(v,y,e,r,t.transform),b=void 0,_=void 0,w=\"nearest\"===r.paint.get(\"raster-resampling\")?i.NEAREST:i.LINEAR;a.activeTexture.set(i.TEXTURE0),v.texture.bind(w,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),a.activeTexture.set(i.TEXTURE1),y?(y.texture.bind(w,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),b=Math.pow(2,y.tileID.overscaledZ-v.tileID.overscaledZ),_=[v.tileID.canonical.x*b%1,v.tileID.canonical.y*b%1]):v.texture.bind(w,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST);var k=Dr(m,_||[0,0],b||1,x,r);o instanceof P?s.draw(a,i.TRIANGLES,g,l,c,Et.disabled,k,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):v.maskedBoundsBuffer&&v.maskedIndexBuffer&&v.segments?s.draw(a,i.TRIANGLES,g,l,c,Et.disabled,k,r.id,v.maskedBoundsBuffer,v.maskedIndexBuffer,v.segments,r.paint,t.transform.zoom):s.draw(a,i.TRIANGLES,g,l,c,Et.disabled,k,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),a=r.paint.get(\"background-opacity\");if(0!==a){var i=t.context,o=i.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===a&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var h=At.disabled,f=t.depthModeForSublayer(0,\"opaque\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(i.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var v=r.getCrossfadeParameters(),m=0,y=g;m<y.length;m+=1){var x=y[m],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?jr(b,a,t,c,{tileID:x,tileSize:l},v):Nr(b,a,n);d.draw(i,o.TRIANGLES,f,h,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)rn(t,e,r[n])},custom:function(t,e,r){var n=t.context,a=r.implementation;if(\"offscreen\"===t.renderPass){var i=a.prerender;i&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),i.call(a,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(At.disabled);var o=\"3d\"===a.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),a.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},on=function(e,r){this.context=new Lt(e),this.transform=r,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.depthRboNeedsClear=!0,this.emptyProgramConfiguration=new t.ProgramConfiguration,this.crossTileSymbolIndex=new Oe};function sn(t,e){if(t.y>e.y){var r=t;t=e,e=r}return{x0:t.x,y0:t.y,x1:e.x,y1:e.y,dx:e.x-t.x,dy:e.y-t.y}}function ln(t,e,r,n,a){var i=Math.max(r,Math.floor(e.y0)),o=Math.min(n,Math.ceil(e.y1));if(t.x0===e.x0&&t.y0===e.y0?t.x0+e.dy/t.dy*t.dx<e.x1:t.x1-e.dy/t.dy*t.dx<e.x0){var s=t;t=e,e=s}for(var l=t.dx/t.dy,c=e.dx/e.dy,u=t.dx>0,h=e.dx<0,f=i;f<o;f++){var p=l*Math.max(0,Math.min(t.dy,f+u-t.y0))+t.x0,d=c*Math.max(0,Math.min(e.dy,f+h-e.y0))+e.x0;a(Math.floor(d),Math.ceil(p),f)}}function cn(t,e,r,n,a,i){var o,s=sn(t,e),l=sn(e,r),c=sn(r,t);s.dy>l.dy&&(o=s,s=l,l=o),s.dy>c.dy&&(o=s,s=c,c=o),l.dy>c.dy&&(o=l,l=c,c=o),s.dy&&ln(c,s,n,a,i),l.dy&&ln(c,l,n,a,i)}on.prototype.resize=function(e,r){var n=this.context.gl;if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var a=0,i=this.style._order;a<i.length;a+=1){var o=i[a];this.style._layers[o].resize()}this.depthRbo&&(n.deleteRenderbuffer(this.depthRbo),this.depthRbo=null)},on.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Fe.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Fe.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var a=new t.StructArrayLayout4i8;a.emplaceBack(0,0,0,0),a.emplaceBack(t.EXTENT,0,t.EXTENT,0),a.emplaceBack(0,t.EXTENT,0,t.EXTENT),a.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(a,t.rasterBoundsAttributes.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var i=new t.StructArrayLayout2i4;i.emplaceBack(0,0),i.emplaceBack(1,0),i.emplaceBack(0,1),i.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(i,Fe.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s);var l=this.context.gl;this.stencilClearMode=new At({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},on.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,St.disabled,Et.disabled,Tr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},on.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(Mt.disabled);var a=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var i=0,o=e;i<o.length;i+=1){var s=o[i],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;a.draw(r,n.TRIANGLES,Mt.disabled,new At({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Tr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},on.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new At({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},on.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new At({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},on.prototype.colorModeForRenderPass=function(){var e=this.context.gl;return this._showOverdrawInspector?new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0]):\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},on.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},on.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},on.prototype.render=function(e,r){this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var n=this.style._order,a=this.style.sourceCaches;for(var i in a){var o=a[i];o.used&&o.prepare(this.context)}var s={},l={},c={};for(var u in a){var h=a[u];s[u]=h.getVisibleCoordinates(),l[u]=s[u].slice().reverse(),c[u]=h.getVisibleCoordinates(!0).reverse()}for(var f in a){var p=a[f],d=p.getSource();if(\"raster\"===d.type||\"raster-dem\"===d.type){for(var g=[],v=0,m=s[f];v<m.length;v+=1){var y=m[v];g.push(p.getTile(y))}Ur(g,this.context)}}this.opaquePassCutoff=1/0;for(var x=0;x<n.length;x++){var b=n[x];if(this.style._layers[b].is3D()){this.opaquePassCutoff=x;break}}this.renderPass=\"offscreen\",this.depthRboNeedsClear=!0;for(var _=0,w=n;_<w.length;_+=1){var k=w[_],T=this.style._layers[k];if(T.hasOffscreenPass()&&!T.isHidden(this.transform.zoom)){var M=l[T.source];(\"custom\"===T.type||M.length)&&this.renderLayer(this,a[T.source],T,M)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=n.length-1;this.currentLayer>=0;this.currentLayer--){var A=this.style._layers[n[this.currentLayer]],S=a[A.source],E=s[A.source];this._renderTileClippingMasks(A,E),this.renderLayer(this,S,A,E)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<n.length;this.currentLayer++){var L=this.style._layers[n[this.currentLayer]],C=a[L.source],P=(\"symbol\"===L.type?c:l)[L.source];this._renderTileClippingMasks(L,s[L.source]),this.renderLayer(this,C,L,P)}if(this.options.showTileBoundaries)for(var O in a){an.debug(this,a[O],s[O]);break}this.context.setDefault()},on.prototype.setupOffscreenDepthRenderbuffer=function(){var t=this.context;this.depthRbo||(this.depthRbo=t.createRenderbuffer(t.gl.DEPTH_COMPONENT16,this.width,this.height))},on.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,an[r.type](t,e,r,n,this.style.placement.variableOffsets))},on.prototype.translatePosMatrix=function(e,r,n,a,i){if(!n[0]&&!n[1])return e;var o=i?\"map\"===a?this.transform.angle:0:\"viewport\"===a?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[i?n[0]:ce(r,n[0],this.transform.zoom),i?n[1]:ce(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},on.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},on.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},on.prototype.isPatternMissing=function(t){if(!t)return!1;var e=this.imageManager.getPattern(t.from),r=this.imageManager.getPattern(t.to);return!e||!r},on.prototype.useProgram=function(t,e){void 0===e&&(e=this.emptyProgramConfiguration),this.cache=this.cache||{};var r=\"\"+t+(e.cacheKey||\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new fr(this.context,ur[t],e,Vr[t],this._showOverdrawInspector)),this.cache[r]},on.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},on.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)};var un=function(e,r,n){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===n||n,this._minZoom=e||0,this._maxZoom=r||22,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._posMatrixCache={},this._alignedPosMatrixCache={}},hn={minZoom:{configurable:!0},maxZoom:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerPoint:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};un.prototype.clone=function(){var t=new un(this._minZoom,this._maxZoom,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._calcMatrices(),t},hn.minZoom.get=function(){return this._minZoom},hn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},hn.maxZoom.get=function(){return this._maxZoom},hn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},hn.renderWorldCopies.get=function(){return this._renderWorldCopies},hn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},hn.worldSize.get=function(){return this.tileSize*this.scale},hn.centerPoint.get=function(){return this.size._div(2)},hn.size.get=function(){return new t.Point(this.width,this.height)},hn.bearing.get=function(){return-this.angle/Math.PI*180},hn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},hn.pitch.get=function(){return this._pitch/Math.PI*180},hn.pitch.set=function(e){var r=t.clamp(e,0,60)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},hn.fov.get=function(){return this._fov/Math.PI*180},hn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},hn.zoom.get=function(){return this._zoom},hn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},hn.center.get=function(){return this._center},hn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},un.prototype.coveringZoomLevel=function(t){return(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize))},un.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),a=this.pointCoordinate(new t.Point(this.width,0)),i=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,a.x,i.x,o.x)),l=Math.floor(Math.max(n.x,a.x,i.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},un.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var a=t.MercatorCoordinate.fromLngLat(this.center),i=Math.pow(2,r),o=new t.Point(i*a.x-.5,i*a.y-.5);return function(e,r,n,a){void 0===a&&(a=!0);var i=1<<e,o={};function s(r,s,l){var c,u,h,f;if(l>=0&&l<=i)for(c=r;c<s;c++)u=Math.floor(c/i),h=(c%i+i)%i,0!==u&&!0!==a||(f=new t.OverscaledTileID(n,u,e,h,l),o[f.key]=f)}var l=r.map(function(e){return new t.Point(e.x,e.y)._mult(i)});return cn(l[0],l[1],l[2],0,i,s),cn(l[2],l[3],l[0],0,i,s),Object.keys(o).map(function(t){return o[t]})}(r,[this.pointCoordinate(new t.Point(0,0)),this.pointCoordinate(new t.Point(this.width,0)),this.pointCoordinate(new t.Point(this.width,this.height)),this.pointCoordinate(new t.Point(0,this.height))],e.reparseOverscaled?n:r,this._renderWorldCopies).sort(function(t,e){return o.dist(t.canonical)-o.dist(e.canonical)})},un.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},hn.unmodified.get=function(){return this._unmodified},un.prototype.zoomScale=function(t){return Math.pow(2,t)},un.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},un.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},un.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},hn.point.get=function(){return this.project(this.center)},un.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),a=this.pointCoordinate(this.centerPoint),i=this.locationCoordinate(e),o=new t.MercatorCoordinate(i.x-(n.x-a.x),i.y-(n.y-a.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},un.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},un.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},un.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},un.prototype.coordinateLocation=function(t){return t.toLngLat()},un.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var a=r[3],i=n[3],o=r[0]/a,s=n[0]/i,l=r[1]/a,c=n[1]/i,u=r[2]/a,h=n[2]/i,f=u===h?0:(0-u)/(h-u);return new t.MercatorCoordinate(t.number(o,s,f)/this.worldSize,t.number(l,c,f)/this.worldSize)},un.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},un.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},un.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},un.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},un.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,a=r?this._alignedPosMatrixCache:this._posMatrixCache;if(a[n])return a[n];var i=e.canonical,o=this.worldSize/this.zoomScale(i.z),s=i.x+Math.pow(2,i.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,i.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),a[n]=new Float32Array(l),a[n]},un.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},un.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,a,i=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;i=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-i<c.y?c.y/(o-i):0}if(this.lngRange){var f=this.lngRange;s=t.mercatorXfromLng(f[0])*this.worldSize,r=(l=t.mercatorXfromLng(f[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+i)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,v=c.y/2;g-v<i&&(a=i+v),g+v>o&&(a=o-v)}if(this.lngRange){var m=p.x,y=c.x/2;m-y<s&&(n=s+y),m+y>l&&(n=l-y)}void 0===n&&void 0===a||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==a?a:p.y))),this._unmodified=u,this._constraining=!1}},un.prototype._calcMatrices=function(){if(this.height){this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height;var e=this._fov/2,r=Math.PI/2+this._pitch,n=Math.sin(e)*this.cameraToCenterDistance/Math.sin(Math.PI-r-e),a=this.point,i=a.x,o=a.y,s=1.01*(Math.cos(Math.PI/2-this._pitch)*n+this.cameraToCenterDistance),l=this.height/50,c=new Float64Array(16);t.perspective(c,this._fov,this.width/this.height,l,s),t.scale(c,c,[1,-1,1]),t.translate(c,c,[0,0,-this.cameraToCenterDistance]),t.rotateX(c,c,this._pitch),t.rotateZ(c,c,this.angle),t.translate(c,c,[-i,-o,0]),this.mercatorMatrix=t.scale([],c,[this.worldSize,this.worldSize,this.worldSize]),t.scale(c,c,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=c;var u=this.width%2/2,h=this.height%2/2,f=Math.cos(this.angle),p=Math.sin(this.angle),d=i-Math.round(i)+f*u+p*h,g=o-Math.round(o)+f*h+p*u,v=new Float64Array(c);if(t.translate(v,v,[d>.5?d-1:d,g>.5?g-1:g,0]),this.alignedProjMatrix=v,c=t.create(),t.scale(c,c,[this.width/2,-this.height/2,1]),t.translate(c,c,[1,-1,0]),this.labelPlaneMatrix=c,c=t.create(),t.scale(c,c,[1,-1,1]),t.translate(c,c,[-1,-1,0]),t.scale(c,c,[2/this.width,2/this.height,1]),this.glCoordMatrix=c,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(c=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=c,this._posMatrixCache={},this._alignedPosMatrixCache={}}},un.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},un.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},un.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,a=r.y,i=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),a=Math.min(a,c.y),i=Math.max(i,c.x),o=Math.max(o,c.y)}return[new t.Point(n,a),new t.Point(i,a),new t.Point(i,o),new t.Point(n,o),new t.Point(n,a)]},Object.defineProperties(un.prototype,hn);var fn=function(){var e,r,n,a;t.bindAll([\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(e=this._updateHashUnthrottled.bind(this),300,r=!1,n=null,a=function(){n=null,r&&(e(),n=setTimeout(a,300),r=!1)},function(){return r=!0,n||a(),n})};fn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},fn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},fn.prototype.getHashString=function(t){var e=this._map.getCenter(),r=Math.round(100*this._map.getZoom())/100,n=Math.ceil((r*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,n),i=Math.round(e.lng*a)/a,o=Math.round(e.lat*a)/a,s=this._map.getBearing(),l=this._map.getPitch(),c=\"\";return c+=t?\"#/\"+i+\"/\"+o+\"/\"+r:\"#\"+r+\"/\"+o+\"/\"+i,(s||l)&&(c+=\"/\"+Math.round(10*s)/10),l&&(c+=\"/\"+Math.round(l)),c},fn.prototype._onHashChange=function(){var e=t.window.location.hash.replace(\"#\",\"\").split(\"/\");return e.length>=3&&(this._map.jumpTo({center:[+e[2],+e[1]],zoom:+e[0],bearing:+(e[3]||0),pitch:+(e[4]||0)}),!0)},fn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var pn=function(e){function n(n,a,i,o){void 0===o&&(o={});var s=r.mousePos(a.getCanvasContainer(),i),l=a.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:i},o)),this._defaultPrevented=!1,this.target=a}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),dn=function(e){function n(n,a,i){var o=r.touchPos(a.getCanvasContainer(),i),s=o.map(function(t){return a.unproject(t)}),l=o.reduce(function(t,e,r,n){return t.add(e.div(n.length))},new t.Point(0,0)),c=a.unproject(l);e.call(this,n,{points:o,point:l,lngLats:s,lngLat:c,originalEvent:i}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),gn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),vn=function(e){this._map=e,this._el=e.getCanvasContainer(),this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};vn.prototype.setZoomRate=function(t){this._defaultZoomRate=t},vn.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},vn.prototype.isEnabled=function(){return!!this._enabled},vn.prototype.isActive=function(){return!!this._active},vn.prototype.isZooming=function(){return!!this._zooming},vn.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},vn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},vn.prototype.onWheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),a=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":a>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(a*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this.isActive()||this._start(e)),e.preventDefault()}},vn.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this.isActive()||this._start(t)},vn.prototype._start=function(e){if(this._delta){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0,this._map.fire(new t.Event(\"movestart\",{originalEvent:e})),this._map.fire(new t.Event(\"zoomstart\",{originalEvent:e}))),this._finishTimeout&&clearTimeout(this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onScrollFrame))}},vn.prototype._onScrollFrame=function(){var e=this;if(this._frameId=null,this.isActive()){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,a=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==a&&(a=1/a);var i=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(i*a))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,s=this._startZoom,l=this._easing,c=!1;if(\"wheel\"===this._type&&s&&l){var u=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=l(u);r.zoom=t.number(s,o,h),u<1?this._frameId||(this._frameId=this._map._requestRenderFrame(this._onScrollFrame)):c=!0}else r.zoom=o,c=!0;r.setLocationAtPoint(this._around,this._aroundPoint),this._map.fire(new t.Event(\"move\",{originalEvent:this._lastWheelEvent})),this._map.fire(new t.Event(\"zoom\",{originalEvent:this._lastWheelEvent})),c&&(this._active=!1,this._finishTimeout=setTimeout(function(){e._zooming=!1,e._map.fire(new t.Event(\"zoomend\",{originalEvent:e._lastWheelEvent})),e._map.fire(new t.Event(\"moveend\",{originalEvent:e._lastWheelEvent})),delete e._targetZoom},200))}},vn.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,a=(t.browser.now()-n.start)/n.duration,i=n.easing(a+.01)-n.easing(a),o=.27/Math.sqrt(i*i+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r};var mn=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._container=e.getContainer(),this._clickTolerance=r.clickTolerance||1,t.bindAll([\"_onMouseMove\",\"_onMouseUp\",\"_onKeyDown\"],this)};mn.prototype.isEnabled=function(){return!!this._enabled},mn.prototype.isActive=function(){return!!this._active},mn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},mn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},mn.prototype.onMouseDown=function(e){this.isEnabled()&&e.shiftKey&&0===e.button&&(t.window.document.addEventListener(\"mousemove\",this._onMouseMove,!1),t.window.document.addEventListener(\"keydown\",this._onKeyDown,!1),t.window.document.addEventListener(\"mouseup\",this._onMouseUp,!1),r.disableDrag(),this._startPos=this._lastPos=r.mousePos(this._el,e),this._active=!0)},mn.prototype._onMouseMove=function(t){var e=r.mousePos(this._el,t);if(!(this._lastPos.equals(e)||!this._box&&e.dist(this._startPos)<this._clickTolerance)){var n=this._startPos;this._lastPos=e,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(n.x,e.x),i=Math.max(n.x,e.x),o=Math.min(n.y,e.y),s=Math.max(n.y,e.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+o+\"px)\"),this._box.style.width=i-a+\"px\",this._box.style.height=s-o+\"px\"}},mn.prototype._onMouseUp=function(e){if(0===e.button){var n=this._startPos,a=r.mousePos(this._el,e);this._finish(),r.suppressClick(),n.x===a.x&&n.y===a.y?this._fireEvent(\"boxzoomcancel\",e):this._map.fitScreenCoordinates(n,a,this._map.getBearing(),{linear:!0}).fire(new t.Event(\"boxzoomend\",{originalEvent:e}))}},mn.prototype._onKeyDown=function(t){27===t.keyCode&&(this._finish(),this._fireEvent(\"boxzoomcancel\",t))},mn.prototype._finish=function(){this._active=!1,t.window.document.removeEventListener(\"mousemove\",this._onMouseMove,!1),t.window.document.removeEventListener(\"keydown\",this._onKeyDown,!1),t.window.document.removeEventListener(\"mouseup\",this._onMouseUp,!1),this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},mn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var yn=t.bezier(0,0,.25,1),xn=function(e,r){this._map=e,this._el=r.element||e.getCanvasContainer(),this._state=\"disabled\",this._button=r.button||\"right\",this._bearingSnap=r.bearingSnap||0,this._pitchWithRotate=!1!==r.pitchWithRotate,t.bindAll([\"onMouseDown\",\"_onMouseMove\",\"_onMouseUp\",\"_onBlur\",\"_onDragFrame\"],this)};xn.prototype.isEnabled=function(){return\"disabled\"!==this._state},xn.prototype.isActive=function(){return\"active\"===this._state},xn.prototype.enable=function(){this.isEnabled()||(this._state=\"enabled\")},xn.prototype.disable=function(){if(this.isEnabled())switch(this._state){case\"active\":this._state=\"disabled\",this._unbind(),this._deactivate(),this._fireEvent(\"rotateend\"),this._pitchWithRotate&&this._fireEvent(\"pitchend\"),this._fireEvent(\"moveend\");break;case\"pending\":this._state=\"disabled\",this._unbind();break;default:this._state=\"disabled\"}},xn.prototype.onMouseDown=function(e){if(\"enabled\"===this._state){var n=\"touchstart\"===e.type;if(n)this._startTime=Date.now();else if(\"right\"===this._button){if(this._eventButton=r.mouseButton(e),this._eventButton!==(e.ctrlKey?0:2))return}else{if(e.ctrlKey||0!==r.mouseButton(e))return;this._eventButton=0}r.disableDrag(),n?(t.window.document.addEventListener(\"touchmove\",this._onMouseMove,{capture:!0}),t.window.document.addEventListener(\"touchend\",this._onMouseUp)):(t.window.document.addEventListener(\"mousemove\",this._onMouseMove,{capture:!0}),t.window.document.addEventListener(\"mouseup\",this._onMouseUp)),t.window.addEventListener(\"blur\",this._onBlur),this._state=\"pending\",this._inertia=[[t.browser.now(),this._map.getBearing()]],this._startPos=this._prevPos=this._lastPos=r.mousePos(this._el,e),this._center=this._map.transform.centerPoint,e.preventDefault()}},xn.prototype._onMouseMove=function(t){var e=r.mousePos(this._el,t);this._lastPos.equals(e)||(this._lastMoveEvent=t,this._lastPos=e,\"pending\"===this._state&&(this._state=\"active\",this._fireEvent(\"rotatestart\",t),this._fireEvent(\"movestart\",t),this._pitchWithRotate&&this._fireEvent(\"pitchstart\",t)),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onDragFrame)))},xn.prototype._onDragFrame=function(){this._frameId=null;var e=this._lastMoveEvent;if(e){var r=this._map.transform,n=this._prevPos,a=this._lastPos,i=.8*(n.x-a.x),o=-.5*(n.y-a.y),s=r.bearing-i,l=r.pitch-o,c=this._inertia,u=c[c.length-1];this._drainInertiaBuffer(),c.push([t.browser.now(),this._map._normalizeBearing(s,u[1])]),r.bearing=s,this._pitchWithRotate&&(this._fireEvent(\"pitch\",e),r.pitch=l),this._fireEvent(\"rotate\",e),this._fireEvent(\"move\",e),delete this._lastMoveEvent,this._prevPos=this._lastPos}},xn.prototype._onMouseUp=function(t){if(\"touchend\"===t.type&&this._startPos===this._lastPos&&Date.now()-this._startTime<300&&this._el.click(),r.mouseButton(t)===this._eventButton)switch(this._state){case\"active\":this._state=\"enabled\",r.suppressClick(),this._unbind(),this._deactivate(),this._inertialRotate(t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},xn.prototype._onBlur=function(t){switch(this._state){case\"active\":this._state=\"enabled\",this._unbind(),this._deactivate(),this._fireEvent(\"rotateend\",t),this._pitchWithRotate&&this._fireEvent(\"pitchend\",t),this._fireEvent(\"moveend\",t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},xn.prototype._unbind=function(){t.window.document.removeEventListener(\"mousemove\",this._onMouseMove,{capture:!0}),t.window.document.removeEventListener(\"mouseup\",this._onMouseUp),t.window.document.removeEventListener(\"touchmove\",this._onMouseMove,{capture:!0}),t.window.document.removeEventListener(\"touchend\",this._onMouseUp),t.window.removeEventListener(\"blur\",this._onBlur),r.enableDrag()},xn.prototype._deactivate=function(){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._lastMoveEvent,delete this._startPos,delete this._prevPos,delete this._lastPos},xn.prototype._inertialRotate=function(t){var e=this;this._fireEvent(\"rotateend\",t),this._drainInertiaBuffer();var r=this._map,n=r.getBearing(),a=this._inertia,i=function(){Math.abs(n)<e._bearingSnap?r.resetNorth({noMoveStart:!0},{originalEvent:t}):e._fireEvent(\"moveend\",t),e._pitchWithRotate&&e._fireEvent(\"pitchend\",t)};if(a.length<2)i();else{var o=a[0],s=a[a.length-1],l=a[a.length-2],c=r._normalizeBearing(n,l[1]),u=s[1]-o[1],h=u<0?-1:1,f=(s[0]-o[0])/1e3;if(0!==u&&0!==f){var p=Math.abs(u*(.25/f));p>180&&(p=180);var d=p/180;c+=h*p*(d/2),Math.abs(r._normalizeBearing(c,0))<this._bearingSnap&&(c=r._normalizeBearing(0,c)),r.rotateTo(c,{duration:1e3*d,easing:yn,noMoveStart:!0},{originalEvent:t})}else i()}},xn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},xn.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>0&&r-e[0][0]>160;)e.shift()};var bn=t.bezier(0,0,.3,1),_n=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._state=\"disabled\",this._clickTolerance=r.clickTolerance||1,t.bindAll([\"_onMove\",\"_onMouseUp\",\"_onTouchEnd\",\"_onBlur\",\"_onDragFrame\"],this)};_n.prototype.isEnabled=function(){return\"disabled\"!==this._state},_n.prototype.isActive=function(){return\"active\"===this._state},_n.prototype.enable=function(){this.isEnabled()||(this._el.classList.add(\"mapboxgl-touch-drag-pan\"),this._state=\"enabled\")},_n.prototype.disable=function(){if(this.isEnabled())switch(this._el.classList.remove(\"mapboxgl-touch-drag-pan\"),this._state){case\"active\":this._state=\"disabled\",this._unbind(),this._deactivate(),this._fireEvent(\"dragend\"),this._fireEvent(\"moveend\");break;case\"pending\":this._state=\"disabled\",this._unbind();break;default:this._state=\"disabled\"}},_n.prototype.onMouseDown=function(e){\"enabled\"===this._state&&(e.ctrlKey||0!==r.mouseButton(e)||(r.addEventListener(t.window.document,\"mousemove\",this._onMove,{capture:!0}),r.addEventListener(t.window.document,\"mouseup\",this._onMouseUp),this._start(e)))},_n.prototype.onTouchStart=function(e){\"enabled\"===this._state&&(e.touches.length>1||(r.addEventListener(t.window.document,\"touchmove\",this._onMove,{capture:!0,passive:!1}),r.addEventListener(t.window.document,\"touchend\",this._onTouchEnd),this._start(e)))},_n.prototype._start=function(e){t.window.addEventListener(\"blur\",this._onBlur),this._state=\"pending\",this._startPos=this._mouseDownPos=this._prevPos=this._lastPos=r.mousePos(this._el,e),this._inertia=[[t.browser.now(),this._startPos]]},_n.prototype._onMove=function(e){e.preventDefault();var n=r.mousePos(this._el,e);this._lastPos.equals(n)||\"pending\"===this._state&&n.dist(this._mouseDownPos)<this._clickTolerance||(this._lastMoveEvent=e,this._lastPos=n,this._drainInertiaBuffer(),this._inertia.push([t.browser.now(),this._lastPos]),\"pending\"===this._state&&(this._state=\"active\",this._fireEvent(\"dragstart\",e),this._fireEvent(\"movestart\",e)),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onDragFrame)))},_n.prototype._onDragFrame=function(){this._frameId=null;var t=this._lastMoveEvent;if(t){var e=this._map.transform;e.setLocationAtPoint(e.pointLocation(this._prevPos),this._lastPos),this._fireEvent(\"drag\",t),this._fireEvent(\"move\",t),this._prevPos=this._lastPos,delete this._lastMoveEvent}},_n.prototype._onMouseUp=function(t){if(0===r.mouseButton(t))switch(this._state){case\"active\":this._state=\"enabled\",r.suppressClick(),this._unbind(),this._deactivate(),this._inertialPan(t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},_n.prototype._onTouchEnd=function(t){switch(this._state){case\"active\":this._state=\"enabled\",this._unbind(),this._deactivate(),this._inertialPan(t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},_n.prototype._onBlur=function(t){switch(this._state){case\"active\":this._state=\"enabled\",this._unbind(),this._deactivate(),this._fireEvent(\"dragend\",t),this._fireEvent(\"moveend\",t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},_n.prototype._unbind=function(){r.removeEventListener(t.window.document,\"touchmove\",this._onMove,{capture:!0,passive:!1}),r.removeEventListener(t.window.document,\"touchend\",this._onTouchEnd),r.removeEventListener(t.window.document,\"mousemove\",this._onMove,{capture:!0}),r.removeEventListener(t.window.document,\"mouseup\",this._onMouseUp),r.removeEventListener(t.window,\"blur\",this._onBlur)},_n.prototype._deactivate=function(){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._lastMoveEvent,delete this._startPos,delete this._prevPos,delete this._mouseDownPos,delete this._lastPos},_n.prototype._inertialPan=function(t){this._fireEvent(\"dragend\",t),this._drainInertiaBuffer();var e=this._inertia;if(e.length<2)this._fireEvent(\"moveend\",t);else{var r=e[e.length-1],n=e[0],a=r[1].sub(n[1]),i=(r[0]-n[0])/1e3;if(0===i||r[1].equals(n[1]))this._fireEvent(\"moveend\",t);else{var o=a.mult(.3/i),s=o.mag();s>1400&&(s=1400,o._unit()._mult(s));var l=s/750,c=o.mult(-l/2);this._map.panBy(c,{duration:1e3*l,easing:bn,noMoveStart:!0},{originalEvent:t})}}},_n.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},_n.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>0&&r-e[0][0]>160;)e.shift()};var wn=function(e){this._map=e,this._el=e.getCanvasContainer(),t.bindAll([\"_onKeyDown\"],this)};function kn(t){return t*(2-t)}wn.prototype.isEnabled=function(){return!!this._enabled},wn.prototype.enable=function(){this.isEnabled()||(this._el.addEventListener(\"keydown\",this._onKeyDown,!1),this._enabled=!0)},wn.prototype.disable=function(){this.isEnabled()&&(this._el.removeEventListener(\"keydown\",this._onKeyDown),this._enabled=!1)},wn.prototype._onKeyDown=function(t){if(!(t.altKey||t.ctrlKey||t.metaKey)){var e=0,r=0,n=0,a=0,i=0;switch(t.keyCode){case 61:case 107:case 171:case 187:e=1;break;case 189:case 109:case 173:e=-1;break;case 37:t.shiftKey?r=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?r=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?n=1:(t.preventDefault(),i=-1);break;case 40:t.shiftKey?n=-1:(i=1,t.preventDefault());break;default:return}var o=this._map,s=o.getZoom(),l={duration:300,delayEndEvents:500,easing:kn,zoom:e?Math.round(s)+e*(t.shiftKey?2:1):s,bearing:o.getBearing()+15*r,pitch:o.getPitch()+10*n,offset:[100*-a,100*-i],center:o.getCenter()};o.easeTo(l,{originalEvent:t})}};var Tn=function(e){this._map=e,t.bindAll([\"_onDblClick\",\"_onZoomEnd\"],this)};Tn.prototype.isEnabled=function(){return!!this._enabled},Tn.prototype.isActive=function(){return!!this._active},Tn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Tn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Tn.prototype.onTouchStart=function(t){var e=this;if(this.isEnabled()&&!(t.points.length>1))if(this._tapped){var r=t.points[0],n=this._tappedPoint;if(n&&n.dist(r)<=30){t.originalEvent.preventDefault();var a=function(){e._tapped&&e._zoom(t),e._map.off(\"touchcancel\",i),e._resetTapped()},i=function(){e._map.off(\"touchend\",a),e._resetTapped()};this._map.once(\"touchend\",a),this._map.once(\"touchcancel\",i)}else this._resetTapped()}else this._tappedPoint=t.points[0],this._tapped=setTimeout(function(){e._tapped=null,e._tappedPoint=null},300)},Tn.prototype._resetTapped=function(){clearTimeout(this._tapped),this._tapped=null,this._tappedPoint=null},Tn.prototype.onDblClick=function(t){this.isEnabled()&&(t.originalEvent.preventDefault(),this._zoom(t))},Tn.prototype._zoom=function(t){this._active=!0,this._map.on(\"zoomend\",this._onZoomEnd),this._map.zoomTo(this._map.getZoom()+(t.originalEvent.shiftKey?-1:1),{around:t.lngLat},t)},Tn.prototype._onZoomEnd=function(){this._active=!1,this._map.off(\"zoomend\",this._onZoomEnd)};var Mn=t.bezier(0,0,.15,1),An=function(e){this._map=e,this._el=e.getCanvasContainer(),t.bindAll([\"_onMove\",\"_onEnd\",\"_onTouchFrame\"],this)};An.prototype.isEnabled=function(){return!!this._enabled},An.prototype.enable=function(t){this.isEnabled()||(this._el.classList.add(\"mapboxgl-touch-zoom-rotate\"),this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around)},An.prototype.disable=function(){this.isEnabled()&&(this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\"),this._enabled=!1)},An.prototype.disableRotation=function(){this._rotationDisabled=!0},An.prototype.enableRotation=function(){this._rotationDisabled=!1},An.prototype.onStart=function(e){if(this.isEnabled()&&2===e.touches.length){var n=r.mousePos(this._el,e.touches[0]),a=r.mousePos(this._el,e.touches[1]),i=n.add(a).div(2);this._startVec=n.sub(a),this._startAround=this._map.transform.pointLocation(i),this._gestureIntent=void 0,this._inertia=[],r.addEventListener(t.window.document,\"touchmove\",this._onMove,{passive:!1}),r.addEventListener(t.window.document,\"touchend\",this._onEnd)}},An.prototype._getTouchEventData=function(t){var e=r.mousePos(this._el,t.touches[0]),n=r.mousePos(this._el,t.touches[1]),a=e.sub(n);return{vec:a,center:e.add(n).div(2),scale:a.mag()/this._startVec.mag(),bearing:this._rotationDisabled?0:180*a.angleWith(this._startVec)/Math.PI}},An.prototype._onMove=function(e){if(2===e.touches.length){var r=this._getTouchEventData(e),n=r.vec,a=r.scale,i=r.bearing;if(!this._gestureIntent){var o=this._rotationDisabled&&1!==a||Math.abs(1-a)>.15;Math.abs(i)>10?this._gestureIntent=\"rotate\":o&&(this._gestureIntent=\"zoom\"),this._gestureIntent&&(this._map.fire(new t.Event(this._gestureIntent+\"start\",{originalEvent:e})),this._map.fire(new t.Event(\"movestart\",{originalEvent:e})),this._startVec=n)}this._lastTouchEvent=e,this._frameId||(this._frameId=this._map._requestRenderFrame(this._onTouchFrame)),e.preventDefault()}},An.prototype._onTouchFrame=function(){this._frameId=null;var e=this._gestureIntent;if(e){var r=this._map.transform;this._startScale||(this._startScale=r.scale,this._startBearing=r.bearing);var n=this._getTouchEventData(this._lastTouchEvent),a=n.center,i=n.bearing,o=n.scale,s=r.pointLocation(a),l=r.locationPoint(s);\"rotate\"===e&&(r.bearing=this._startBearing+i),r.zoom=r.scaleZoom(this._startScale*o),r.setLocationAtPoint(this._startAround,l),this._map.fire(new t.Event(e,{originalEvent:this._lastTouchEvent})),this._map.fire(new t.Event(\"move\",{originalEvent:this._lastTouchEvent})),this._drainInertiaBuffer(),this._inertia.push([t.browser.now(),o,a])}},An.prototype._onEnd=function(e){r.removeEventListener(t.window.document,\"touchmove\",this._onMove,{passive:!1}),r.removeEventListener(t.window.document,\"touchend\",this._onEnd);var n=this._gestureIntent,a=this._startScale;if(this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._gestureIntent,delete this._startScale,delete this._startBearing,delete this._lastTouchEvent,n){this._map.fire(new t.Event(n+\"end\",{originalEvent:e})),this._drainInertiaBuffer();var i=this._inertia,o=this._map;if(i.length<2)o.snapToNorth({},{originalEvent:e});else{var s=i[i.length-1],l=i[0],c=o.transform.scaleZoom(a*s[1]),u=o.transform.scaleZoom(a*l[1]),h=c-u,f=(s[0]-l[0])/1e3,p=s[2];if(0!==f&&c!==u){var d=.15*h/f;Math.abs(d)>2.5&&(d=d>0?2.5:-2.5);var g=1e3*Math.abs(d/(12*.15)),v=c+d*g/2e3;v<0&&(v=0),o.easeTo({zoom:v,duration:g,easing:Mn,around:this._aroundCenter?o.getCenter():o.unproject(p),noMoveStart:!0},{originalEvent:e})}else o.snapToNorth({},{originalEvent:e})}}},An.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>2&&r-e[0][0]>160;)e.shift()};var Sn={scrollZoom:vn,boxZoom:mn,dragRotate:xn,dragPan:_n,keyboard:wn,doubleClickZoom:Tn,touchZoomRotate:An},En=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,a){if(\"number\"==typeof(a=t.extend({padding:{top:0,bottom:0,right:0,left:0},offset:[0,0],maxZoom:this.transform.maxZoom},a)).padding){var i=a.padding;a.padding={top:i,bottom:i,right:i,left:i}}if(t.deepEqual(Object.keys(a.padding).sort(function(t,e){return t<e?-1:t>e?1:0}),[\"bottom\",\"left\",\"right\",\"top\"])){var o=this.transform,s=o.project(t.LngLat.convert(e)),l=o.project(t.LngLat.convert(r)),c=s.rotate(-n*Math.PI/180),u=l.rotate(-n*Math.PI/180),h=new t.Point(Math.max(c.x,u.x),Math.max(c.y,u.y)),f=new t.Point(Math.min(c.x,u.x),Math.min(c.y,u.y)),p=h.sub(f),d=(o.width-a.padding.left-a.padding.right)/p.x,g=(o.height-a.padding.top-a.padding.bottom)/p.y;if(!(g<0||d<0)){var v=Math.min(o.scaleZoom(o.scale*Math.min(d,g)),a.maxZoom),m=t.Point.convert(a.offset),y=(a.padding.left-a.padding.right)/2,x=(a.padding.top-a.padding.bottom)/2,b=new t.Point(m.x+y,m.y+x).mult(o.scale/o.zoomScale(v));return{center:o.unproject(s.add(l).div(2).sub(b)),zoom:v,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")}else t.warnOnce(\"options.padding must be a positive number, or an Object with keys 'bottom', 'left', 'right', 'top'\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,a,i){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,a),a,i)},r.prototype._fitInternal=function(e,r,n){return e?(r=t.extend(e,r)).linear?this.easeTo(r,n):this.flyTo(r,n):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,a=!1,i=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(a=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(i=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),a&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),i&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this.stop(),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||t.browser.prefersReducedMotion)&&(e.duration=0);var a=this.transform,i=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=\"zoom\"in e?+e.zoom:i,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,u=\"pitch\"in e?+e.pitch:s,h=a.centerPoint.add(t.Point.convert(e.offset)),f=a.pointLocation(h),p=t.LngLat.convert(e.center||f);this._normalizeCenter(p);var d,g,v=a.project(f),m=a.project(p).sub(v),y=a.zoomScale(l-i);return e.around&&(d=t.LngLat.convert(e.around),g=a.locationPoint(d)),this._zooming=l!==i,this._rotating=o!==c,this._pitching=u!==s,this._prepareEase(r,e.noMoveStart),clearTimeout(this._easeEndTimeoutID),this._ease(function(e){if(n._zooming&&(a.zoom=t.number(i,l,e)),n._rotating&&(a.bearing=t.number(o,c,e)),n._pitching&&(a.pitch=t.number(s,u,e)),d)a.setLocationAtPoint(d,g);else{var f=a.zoomScale(a.zoom-i),p=l>i?Math.min(2,y):Math.max(.5,y),x=Math.pow(p,1-e),b=a.unproject(v.add(m.mult(e*x)).mult(f));a.setLocationAtPoint(a.renderWorldCopies?b.wrap():b,h)}n._fireMoveEvents(r)},function(){e.delayEndEvents?n._easeEndTimeoutID=setTimeout(function(){return n._afterEase(r)},e.delayEndEvents):n._afterEase(r)},e),this},r.prototype._prepareEase=function(e,r){this._moving=!0,r||this.fire(new t.Event(\"movestart\",e)),this._zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e){var r=this._zooming,n=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,r&&this.fire(new t.Event(\"zoomend\",e)),n&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))},r.prototype.flyTo=function(e,r){var n=this;if(t.browser.prefersReducedMotion){var a=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(a,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var i=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=\"zoom\"in e?t.clamp(+e.zoom,i.minZoom,i.maxZoom):o,u=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,f=i.zoomScale(c-o),p=i.centerPoint.add(t.Point.convert(e.offset)),d=i.pointLocation(p),g=t.LngLat.convert(e.center||d);this._normalizeCenter(g);var v=i.project(d),m=i.project(g).sub(v),y=e.curve,x=Math.max(i.width,i.height),b=x/f,_=m.mag();if(\"minZoom\"in e){var w=t.clamp(Math.min(e.minZoom,o,c),i.minZoom,i.maxZoom),k=x/i.zoomScale(w-o);y=Math.sqrt(k/_*2)}var T=y*y;function M(t){var e=(b*b-x*x+(t?-1:1)*T*T*_*_)/(2*(t?b:x)*T*_);return Math.log(Math.sqrt(e*e+1)-e)}function A(t){return(Math.exp(t)-Math.exp(-t))/2}function S(t){return(Math.exp(t)+Math.exp(-t))/2}var E=M(0),L=function(t){return S(E)/S(E+y*t)},C=function(t){return x*((S(E)*(A(e=E+y*t)/S(e))-A(E))/T)/_;var e},P=(M(1)-E)/y;if(Math.abs(_)<1e-6||!isFinite(P)){if(Math.abs(x-b)<1e-6)return this.easeTo(e,r);var O=b<x?-1:1;P=Math.abs(Math.log(b/x))/y,C=function(){return 0},L=function(t){return Math.exp(O*y*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var z=\"screenSpeed\"in e?+e.screenSpeed/y:+e.speed;e.duration=1e3*P/z}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==u,this._pitching=h!==l,this._prepareEase(r,!1),this._ease(function(e){var a=e*P,f=1/L(a);i.zoom=1===e?c:o+i.scaleZoom(f),n._rotating&&(i.bearing=t.number(s,u,e)),n._pitching&&(i.pitch=t.number(l,h,e));var d=1===e?g:i.unproject(v.add(m.mult(C(a))).mult(f));i.setLocationAtPoint(i.renderWorldCopies?d.wrap():d,p),n._fireMoveEvents(r)},function(){return n._afterEase(r)},e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var t=this._onEaseEnd;delete this._onEaseEnd,t.call(this)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ln=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ln.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ln.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Ln.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0},Ln.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce(function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t},\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},Ln.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ln.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map(function(t){return\"string\"!=typeof t?\"\":t})):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var a=r[n];if(a.used){var i=a.getSource();i.attribution&&t.indexOf(i.attribution)<0&&t.push(i.attribution)}}t.sort(function(t,e){return t.length-e.length});var o=(t=t.filter(function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0})).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Ln.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var Cn=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Cn.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",\"Mapbox logo\"),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Cn.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Cn.prototype.getDefaultPosition=function(){return\"bottom-left\"},Cn.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Cn.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Cn.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var Pn=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Pn.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Pn.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var a=n[r];if(a.id===t)return void(a.cancelled=!0)}},Pn.prototype.run=function(){var t=this._currentlyRunning=this._queue;this._queue=[];for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!n.cancelled&&(n.callback(),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Pn.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var On=t.window.HTMLImageElement,zn=t.window.HTMLElement,In={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:0,maxZoom:22,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,bearingSnap:7,clickTolerance:3,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Dn=function(n){function a(e){var a=this;if(null!=(e=t.extend({},In,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than minZoom\");var i=new un(e.minZoom,e.maxZoom,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Pn,this._controls=[],this._mapId=t.uniqueId(),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof zn))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",function(){return a._update(!1)}),this.on(\"moveend\",function(){return a._update(!1)}),this.on(\"zoom\",function(){return a._update(!0)}),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),function(t,e){var n=t.getCanvasContainer(),a=null,i=!1,o=null;for(var s in Sn)t[s]=new Sn[s](t,e),e.interactive&&e[s]&&t[s].enable(e[s]);r.addEventListener(n,\"mouseout\",function(e){t.fire(new pn(\"mouseout\",t,e))}),r.addEventListener(n,\"mousedown\",function(a){i=!0,o=r.mousePos(n,a);var s=new pn(\"mousedown\",t,a);t.fire(s),s.defaultPrevented||(e.interactive&&!t.doubleClickZoom.isActive()&&t.stop(),t.boxZoom.onMouseDown(a),t.boxZoom.isActive()||t.dragPan.isActive()||t.dragRotate.onMouseDown(a),t.boxZoom.isActive()||t.dragRotate.isActive()||t.dragPan.onMouseDown(a))}),r.addEventListener(n,\"mouseup\",function(e){var r=t.dragRotate.isActive();a&&!r&&t.fire(new pn(\"contextmenu\",t,a)),a=null,i=!1,t.fire(new pn(\"mouseup\",t,e))}),r.addEventListener(n,\"mousemove\",function(e){if(!t.dragPan.isActive()&&!t.dragRotate.isActive()){for(var r=e.target;r&&r!==n;)r=r.parentNode;r===n&&t.fire(new pn(\"mousemove\",t,e))}}),r.addEventListener(n,\"mouseover\",function(e){for(var r=e.target;r&&r!==n;)r=r.parentNode;r===n&&t.fire(new pn(\"mouseover\",t,e))}),r.addEventListener(n,\"touchstart\",function(r){var n=new dn(\"touchstart\",t,r);t.fire(n),n.defaultPrevented||(e.interactive&&t.stop(),t.boxZoom.isActive()||t.dragRotate.isActive()||t.dragPan.onTouchStart(r),t.touchZoomRotate.onStart(r),t.doubleClickZoom.onTouchStart(n))},{passive:!1}),r.addEventListener(n,\"touchmove\",function(e){t.fire(new dn(\"touchmove\",t,e))},{passive:!1}),r.addEventListener(n,\"touchend\",function(e){t.fire(new dn(\"touchend\",t,e))}),r.addEventListener(n,\"touchcancel\",function(e){t.fire(new dn(\"touchcancel\",t,e))}),r.addEventListener(n,\"click\",function(a){var i=r.mousePos(n,a);(!o||i.equals(o)||i.dist(o)<e.clickTolerance)&&t.fire(new pn(\"click\",t,a))}),r.addEventListener(n,\"dblclick\",function(e){var r=new pn(\"dblclick\",t,e);t.fire(r),r.defaultPrevented||t.doubleClickZoom.onDblClick(r)}),r.addEventListener(n,\"contextmenu\",function(e){var r=t.dragRotate.isActive();i||r?i&&(a=e):t.fire(new pn(\"contextmenu\",t,e)),(t.dragRotate.isEnabled()||t.listens(\"contextmenu\"))&&e.preventDefault()}),r.addEventListener(n,\"wheel\",function(r){e.interactive&&t.stop();var n=new gn(\"wheel\",t,r);t.fire(n),n.defaultPrevented||t.scrollZoom.onWheel(r)},{passive:!1})}(this,e),this._hash=e.hash&&(new fn).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ln({customAttribution:e.customAttribution})),this.addControl(new Cn,e.logoPosition),this.on(\"style.load\",function(){a.transform.unmodified&&a.jumpTo(a.style.stylesheet)}),this.on(\"data\",function(e){a._update(\"style\"===e.dataType),a.fire(new t.Event(e.dataType+\"data\",e))}),this.on(\"dataloading\",function(e){a.fire(new t.Event(e.dataType+\"dataloading\",e))})}n&&(a.__proto__=n),a.prototype=Object.create(n&&n.prototype),a.prototype.constructor=a;var i={showTileBoundaries:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return a.prototype._getMapId=function(){return this._mapId},a.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var a=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?a.insertBefore(n,a.firstChild):a.appendChild(n),this},a.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},a.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],a=r[1];return this._resizeCanvas(n,a),this.transform.resize(n,a),this.painter.resize(n,a),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e)).fire(new t.Event(\"resize\",e)).fire(new t.Event(\"moveend\",e)),this},a.prototype.getBounds=function(){return this.transform.getBounds()},a.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},a.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},a.prototype.setMinZoom=function(t){if((t=null==t?0:t)>=0&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between 0 and the current maxZoom, inclusive\")},a.prototype.getMinZoom=function(){return this.transform.minZoom},a.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},a.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},a.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},a.prototype.getMaxZoom=function(){return this.transform.maxZoom},a.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},a.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},a.prototype.isMoving=function(){return this._moving||this.dragPan.isActive()||this.dragRotate.isActive()||this.scrollZoom.isActive()},a.prototype.isZooming=function(){return this._zooming||this.scrollZoom.isZooming()},a.prototype.isRotating=function(){return this._rotating||this.dragRotate.isActive()},a.prototype.on=function(t,e,r){var a=this;if(void 0===r)return n.prototype.on.call(this,t,e);var i=function(){var n;if(\"mouseenter\"===t||\"mouseover\"===t){var i=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?i||(i=!0,r.call(a,new pn(t,a,n.originalEvent,{features:o}))):i=!1},mouseout:function(){i=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(a,new pn(t,a,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(a,new pn(t,a,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=a.getLayer(e)?a.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(a,t),delete t.features)},n)}}();for(var o in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(o,i.delegates[o]);return this},a.prototype.off=function(t,e,r){if(void 0===r)return n.prototype.off.call(this,t,e);if(this._delegatedListeners&&this._delegatedListeners[t])for(var a=this._delegatedListeners[t],i=0;i<a.length;i++){var o=a[i];if(o.layer===e&&o.listener===r){for(var s in o.delegates)this.off(s,o.delegates[s]);return a.splice(i,1),this}}return this},a.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var a=t.Point.convert(e[0]),i=t.Point.convert(e[1]);n=[a,new t.Point(i.x,a.y),i,new t.Point(a.x,i.y),a]}return this.style.queryRenderedFeatures(n,r,this.transform)},a.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},a.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},a.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Re(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},a.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var a=this._requestManager.normalizeStyleURL(e),i=this._requestManager.transformRequest(a,t.ResourceType.Style);t.getJSON(i,function(e,a){e?n.fire(new t.ErrorEvent(e)):a&&n._updateDiff(a,r)})}else\"object\"==typeof e&&this._updateDiff(e,r)},a.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},a.prototype.getStyle=function(){if(this.style)return this.style.serialize()},a.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},a.prototype.addSource=function(t,e){return this.style.addSource(t,e),this._update(!0)},a.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},a.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var a=r[n];if(\"loaded\"!==a.state&&\"errored\"!==a.state)return!1}}return!0},a.prototype.addSourceType=function(t,e,r){return this.style.addSourceType(t,e,r)},a.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},a.prototype.getSource=function(t){return this.style.getSource(t)},a.prototype.addImage=function(e,r,n){void 0===n&&(n={});var a=n.pixelRatio;void 0===a&&(a=1);var i=n.sdf;if(void 0===i&&(i=!1),r instanceof On){var o=t.browser.getImageData(r),s=o.width,l=o.height,c=o.data;this.style.addImage(e,{data:new t.RGBAImage({width:s,height:l},c),pixelRatio:a,sdf:i,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var u=r.width,h=r.height,f=r.data,p=r;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:h},new Uint8Array(f)),pixelRatio:a,sdf:i,version:0,userImage:p}),p.onAdd&&p.onAdd(this,e)}},a.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var a=r instanceof On?t.browser.getImageData(r):r,i=a.width,o=a.height,s=a.data;if(void 0===i||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(i!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof On);n.data.replace(s,l),this.style.updateImage(e,n)},a.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},a.prototype.removeImage=function(t){this.style.removeImage(t)},a.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},a.prototype.listImages=function(){return this.style.listImages()},a.prototype.addLayer=function(t,e){return this.style.addLayer(t,e),this._update(!0)},a.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},a.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},a.prototype.getLayer=function(t){return this.style.getLayer(t)},a.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},a.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},a.prototype.getFilter=function(t){return this.style.getFilter(t)},a.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},a.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},a.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},a.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},a.prototype.setLight=function(t,e){return void 0===e&&(e={}),this.style.setLight(t,e),this._update(!0)},a.prototype.getLight=function(){return this.style.getLight()},a.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},a.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},a.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},a.prototype.getContainer=function(){return this._container},a.prototype.getCanvasContainer=function(){return this._canvasContainer},a.prototype.getCanvas=function(){return this._canvas},a.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},a.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},a.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.style.position=\"absolute\",this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var a=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),i=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(t){i[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,a)})},a.prototype._resizeCanvas=function(e,r){var n=t.window.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},a.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new on(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},a.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},a.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},a.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},a.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},a.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},a.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},a.prototype._render=function(){this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run();var e=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var r=this.transform.zoom,n=t.browser.now();this.style.zoomHistory.update(r,n);var a=new t.EvaluationParameters(r,{now:n,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),i=a.crossFadingFactor();1===i&&i===this._crossFadingFactor||(e=!0,this._crossFadingFactor=i),this.style.update(a)}return this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||e)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this._sourcesDirty||this._repaint||this._styleDirty||this._placementDirty?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),this},a.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Rn(this._canvasContainer),Rn(this._controlContainer),Rn(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this.fire(new t.Event(\"remove\"))},a.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame(function(){e._frame=null,e._render()}))},a.prototype._onWindowOnline=function(){this._update()},a.prototype._onWindowResize=function(){this._trackResize&&this.resize()._update()},i.showTileBoundaries.get=function(){return!!this._showTileBoundaries},i.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},i.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},i.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},i.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},i.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},i.repaint.get=function(){return!!this._repaint},i.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},i.vertices.get=function(){return!!this._vertices},i.vertices.set=function(t){this._vertices=t,this._update()},a.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},i.version.get=function(){return t.version},Object.defineProperties(a.prototype,i),a}(En);function Rn(t){t.parentNode&&t.parentNode.removeChild(t)}var Fn={showCompass:!0,showZoom:!0,visualizePitch:!1},Bn=function(e){var n=this;this.options=t.extend({},Fn,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",function(t){return t.preventDefault()}),this.options.showZoom&&(t.bindAll([\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-icon mapboxgl-ctrl-zoom-in\",\"Zoom in\",function(){return n._map.zoomIn()}),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-icon mapboxgl-ctrl-zoom-out\",\"Zoom out\",function(){return n._map.zoomOut()})),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-icon mapboxgl-ctrl-compass\",\"Reset bearing to north\",function(){n.options.visualizePitch?n._map.resetNorthPitch():n._map.resetNorth()}),this._compassArrow=r.create(\"span\",\"mapboxgl-ctrl-compass-arrow\",this._compass))};function Nn(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var a=new t.LngLat(e.lng-360,e.lat),i=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(a).distSqr(r)<o?e=a:n.locationPoint(i).distSqr(r)<o&&(e=i)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Bn.prototype._updateZoomButtons=function(){var t=this._map.getZoom();t===this._map.getMaxZoom()?this._zoomInButton.classList.add(\"mapboxgl-ctrl-icon-disabled\"):this._zoomInButton.classList.remove(\"mapboxgl-ctrl-icon-disabled\"),t===this._map.getMinZoom()?this._zoomOutButton.classList.add(\"mapboxgl-ctrl-icon-disabled\"):this._zoomOutButton.classList.remove(\"mapboxgl-ctrl-icon-disabled\")},Bn.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassArrow.style.transform=t},Bn.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new xn(t,{button:\"left\",element:this._compass}),r.addEventListener(this._compass,\"mousedown\",this._handler.onMouseDown),r.addEventListener(this._compass,\"touchstart\",this._handler.onMouseDown,{passive:!1}),this._handler.enable()),this._container},Bn.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),r.removeEventListener(this._compass,\"mousedown\",this._handler.onMouseDown),r.removeEventListener(this._compass,\"touchstart\",this._handler.onMouseDown,{passive:!1}),this._handler.disable(),delete this._handler),delete this._map},Bn.prototype._createButton=function(t,e,n){var a=r.create(\"button\",t,this._container);return a.type=\"button\",a.title=e,a.setAttribute(\"aria-label\",e),a.addEventListener(\"click\",n),a};var jn={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Vn(t,e,r){var n=t.classList;for(var a in jn)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+a);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Un,qn=function(e){function n(n,a){if(e.call(this),(n instanceof t.window.HTMLElement||a)&&(n=t.extend({element:n},a)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\");var i=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");i.setAttributeNS(null,\"display\",\"block\"),i.setAttributeNS(null,\"height\",\"41px\"),i.setAttributeNS(null,\"width\",\"27px\"),i.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");o.setAttributeNS(null,\"stroke\",\"none\"),o.setAttributeNS(null,\"stroke-width\",\"1\"),o.setAttributeNS(null,\"fill\",\"none\"),o.setAttributeNS(null,\"fill-rule\",\"evenodd\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");for(var c=0,u=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];c<u.length;c+=1){var h=u[c],f=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");f.setAttributeNS(null,\"opacity\",\"0.04\"),f.setAttributeNS(null,\"cx\",\"10.5\"),f.setAttributeNS(null,\"cy\",\"5.80029008\"),f.setAttributeNS(null,\"rx\",h.rx),f.setAttributeNS(null,\"ry\",h.ry),l.appendChild(f)}var p=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");p.setAttributeNS(null,\"fill\",this._color);var d=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");d.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),p.appendChild(d);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),g.appendChild(v);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),m.setAttributeNS(null,\"fill\",\"#FFFFFF\");var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");x.setAttributeNS(null,\"fill\",\"#000000\"),x.setAttributeNS(null,\"opacity\",\"0.25\"),x.setAttributeNS(null,\"cx\",\"5.5\"),x.setAttributeNS(null,\"cy\",\"5.5\"),x.setAttributeNS(null,\"r\",\"5.4999962\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#FFFFFF\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\"),y.appendChild(x),y.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(g),s.appendChild(m),s.appendChild(y),i.appendChild(s),this._element.appendChild(i),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",function(t){t.preventDefault()}),Vn(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat)}return this},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){this._map&&(this._map.transform.renderWorldCopies&&(this._lngLat=Nn(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,jn[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px)\"))},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n}(t.Evented),Hn={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showUserLocation:!0},Gn=function(e){function n(r){e.call(this),this.options=t.extend({},Hn,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Un?n(Un):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then(function(t){Un=\"denied\"!==t.state,n(Un)}):(Un=!!t.window.navigator.geolocation,n(Un)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),r.remove(this._container),this._map=void 0},n.prototype._onSuccess=function(e){if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,a=this._map.getBearing(),i=t.extend({bearing:a},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),i,{geolocateSource:!0})},n.prototype._updateMarker=function(t){t?this._userLocationDotMarker.setLngLat([t.coords.longitude,t.coords.latitude]).addTo(this._map):this._userLocationDotMarker.remove()},n.prototype._onError=function(e){if(this.options.trackUserLocation)if(1===e.code)this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),void 0!==this._geolocationWatchID&&this._clearWatch();else switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;!1!==e?(this._container.addEventListener(\"contextmenu\",function(t){return t.preventDefault()}),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-icon mapboxgl-ctrl-geolocate\",this._container),this._geolocateButton.type=\"button\",this._geolocateButton.setAttribute(\"aria-label\",\"Geolocate\"),this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new qn(this._dotElement),this.options.trackUserLocation&&(this._watchState=\"OFF\")),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",function(e){e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))})):t.warnOnce(\"Geolocation support is not available, the GeolocateControl will not be visible.\")},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID?this._clearWatch():void 0===this._geolocationWatchID&&(this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,this.options.positionOptions))}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Yn={maxWidth:100,unit:\"metric\"},Wn=function(e){this.options=t.extend({},Yn,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Xn(t,e,r){var n,a,i,o,s,l,c=r&&r.maxWidth||100,u=t._container.clientHeight/2,h=(n=t.unproject([0,u]),a=t.unproject([c,u]),i=Math.PI/180,o=n.lat*i,s=a.lat*i,l=Math.sin(o)*Math.sin(s)+Math.cos(o)*Math.cos(s)*Math.cos((a.lng-n.lng)*i),6371e3*Math.acos(Math.min(l,1)));if(r&&\"imperial\"===r.unit){var f=3.2808*h;f>5280?Zn(e,c,f/5280,\"mi\"):Zn(e,c,f,\"ft\")}else r&&\"nautical\"===r.unit?Zn(e,c,h/1852,\"nm\"):Zn(e,c,h,\"m\")}function Zn(t,e,r,n){var a,i,o,s=(a=r,(i=Math.pow(10,(\"\"+Math.floor(a)).length-1))*(o=(o=a/i)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;\"m\"===n&&s>=1e3&&(s/=1e3,n=\"km\"),t.style.width=e*l+\"px\",t.innerHTML=s+n}Wn.prototype.getDefaultPosition=function(){return\"bottom-left\"},Wn.prototype._onMove=function(){Xn(this._map,this._container,this.options)},Wn.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Wn.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Wn.prototype.setUnit=function(t){this.options.unit=t,Xn(this._map,this._container,this.options)};var Jn=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\"),this._className=\"mapboxgl-ctrl\"};Jn.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",this._className+\" mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Jn.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Jn.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Jn.prototype._setupUI=function(){(this._fullscreenButton=r.create(\"button\",this._className+\"-icon \"+this._className+\"-fullscreen\",this._controlContainer)).type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Jn.prototype._updateTitle=function(){var t=this._isFullscreen()?\"Exit fullscreen\":\"Enter fullscreen\";this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Jn.prototype._isFullscreen=function(){return this._fullscreen},Jn.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(this._className+\"-shrink\"),this._fullscreenButton.classList.toggle(this._className+\"-fullscreen\"),this._updateTitle())},Jn.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Kn={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Qn=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Kn),r),t.bindAll([\"_update\",\"_onClickClose\",\"remove\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){var r=this;return this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClickClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",function(t){r._update(t.point)}),this._map.on(\"mouseup\",function(t){r._update(t.point)}),this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"click\",this._onClickClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\"),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\"),this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){var t=this;return 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n=t(\"color-normalize\"),a=t(\"array-bounds\"),i=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),h=t(\"to-float32\"),f=h.float32,p=h.fract32,d=t(\"es6-weak-map\"),g=t(\"parse-rect\");function v(t,e){if(!(this instanceof v))return new v(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashPattern:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashSize:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},a=t(i({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\n\\nuniform float dashSize, pixelRatio, thickness, opacity, id;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(i({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=a}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:a,miter:e}},v.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},v.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach(function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold?t.shaders.rect(e):\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))}),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach(function(t,h){var d=e.passes[h];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth 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r}(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance\")}()}function a(t){return function(t){if(Array.isArray(t)){for(var e=0,r=new Array(t.length);e<t.length;e++)r[e]=t[e];return r}}(t)||function(t){if(Symbol.iterator in Object(t)||\"[object Arguments]\"===Object.prototype.toString.call(t))return Array.from(t)}(t)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance\")}()}var i=t(\"color-normalize\"),o=t(\"array-bounds\"),s=t(\"color-id\"),l=t(\"point-cluster\"),c=t(\"object-assign\"),u=t(\"glslify\"),h=t(\"pick-by-alias\"),f=t(\"update-diff\"),p=t(\"flatten-vertex-data\"),d=t(\"is-iexplorer\"),g=t(\"to-float32\"),v=t(\"parse-rect\"),m=y;function y(t,e){var r=this;if(!(this instanceof y))return new y(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,a=(t=e.regl)._gl,i=[];this.tooManyColors=d,n=t.texture({data:new 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{\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pixelRatio;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0, 1);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=c({},o);l.frag=u([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\n\\nuniform float opacity;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=u([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio;\\nuniform sampler2D palette;\\nuniform vec2 paletteSize;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0, 1);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),d&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}y.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},y.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},y.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var a=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var i=0;i<r.length;i++)this.drawItem(i,r[i]);else a.forEach(function(e,r){t.drawItem(r)});return this},y.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var i=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&i.push.apply(i,a(this.getMarkerDrawOptions(o,n,e)));i.length&&this.drawMarker(i)}},y.prototype.getMarkerDrawOptions=function(t,e,r){var a=e.range,i=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;this.regl;if(!i)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var h=[],f=i.range(a,{lod:!0,px:[(a[2]-a[0])/o.width,(a[3]-a[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),g=0;g<r.length;g++){var v=r[g];d[v]=p?p[v]:1}l.subdata(d)}for(var m=f.length;m--;){var y=n(f[m],2),x=y[0],b=y[1];h.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return h},y.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var a=this.groups,i=this.gl,s=this.regl,u=this.maxSize,d=this.maxColors,m=this.palette;this.groups=a=r.map(function(e,r){var n=a[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=h(e,{positions:\"positions data 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t.x.length?e.xAttr={buffer:s.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:s.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=p(t,\"float64\");var u=e.count=Math.floor(t.length/2),h=e.bounds=u?o(t,2):null;if(r.range||e.range||(delete e.range,r.range=h),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||u>n)?e.tree=l(t,{bounds:h}):n&&n.length&&(e.tree=n),e.tree){var f={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(f):e.elements=s.elements(f)}return a({data:g.float(t),usage:\"dynamic\"}),i({data:g.fract(t),usage:\"dynamic\"}),c({data:new Uint8Array(u),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var a=r.activation;if(a.forEach(function(t){return 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this.groups.forEach(function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach(function(t){return t&&t.destroy&&t.destroy()}),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()}),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach(function(t){return t&&t.destroy&&t.destroy()}),this};var x=t(\"object-assign\");e.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return x(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{\"array-bounds\":68,\"color-id\":120,\"color-normalize\":122,\"flatten-vertex-data\":230,glslify:410,\"is-iexplorer\":420,\"object-assign\":455,\"parse-rect\":460,\"pick-by-alias\":466,\"point-cluster\":470,\"to-float32\":536,\"update-diff\":547}],499:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),a=t(\"pick-by-alias\"),i=t(\"array-bounds\"),o=t(\"raf\"),s=t(\"array-range\"),l=t(\"parse-rect\"),c=t(\"flatten-vertex-data\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function h(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function f(t,e,r){var n,a,i,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],a=s[3]):s.length?(n=s[0],a=s[1]):(s.x,n=s.y,s.x+s.width,a=s.y+s.height),l.length>2?(i=l[0],o=l[2],l[1],l[3]):l.length?(i=l[0],o=l[1]):(i=l.x,l.y,o=l.x+l.width,l.y+l.height),[i,n,o,a]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return 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f=Math.abs(s),p=Math.abs(l),d=Math.abs(h),g=Math.max(f,p,d);f===g?(s=s<0?-1:1,l=h=0):d===g?(h=h<0?-1:1,s=l=0):(l=l<0?-1:1,s=h=0)}else{var v=c(s,l,h);s/=v,l/=v,h/=v}var m,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*h,k=c(x-=s*w,b-=l*w,_-=h*w),T=l*(_/=k)-h*(b/=k),M=h*(x/=k)-s*_,A=s*b-l*x,S=c(T,M,A);if(T/=S,M/=S,A/=S,this.center.jump(t,H,G,Y),this.radius.idle(t),this.up.jump(t,s,l,h),this.right.jump(t,x,b,_),2===i){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,O=E*T+L*M+C*A;m=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(O,P)}else{var z=e[2],I=e[6],D=e[10],R=z*s+I*l+D*h,F=z*x+I*b+D*_,B=z*T+I*M+D*A;m=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,m),this.recalcMatrix(t);var N=e[2],j=e[6],V=e[10],U=this.computedMatrix;a(U,e);var q=U[15],H=U[12]/q,G=U[13]/q,Y=U[14]/q,W=Math.exp(this.computedRadius[0]);this.center.jump(t,H-N*W,G-j*W,Y-V*W)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var a=(n=n||this.computedUp)[0],i=n[1],o=n[2],s=c(a,i,o);if(!(s<1e-6)){a/=s,i/=s,o/=s;var l=e[0]-r[0],h=e[1]-r[1],f=e[2]-r[2],p=c(l,h,f);if(!(p<1e-6)){l/=p,h/=p,f/=p;var d=this.computedRight,g=d[0],v=d[1],m=d[2],y=a*g+i*v+o*m,x=c(g-=y*a,v-=y*i,m-=y*o);if(!(x<.01&&(x=c(g=i*f-o*h,v=o*l-a*f,m=a*h-i*l))<1e-6)){g/=x,v/=x,m/=x,this.up.set(t,a,i,o),this.right.set(t,g,v,m),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(p));var b=i*m-o*v,_=o*g-a*m,w=a*v-i*g,k=c(b,_,w),T=a*l+i*h+o*f,M=g*l+v*h+m*f,A=(b/=k)*l+(_/=k)*h+(w/=k)*f,S=Math.asin(u(T)),E=Math.atan2(A,M),L=this.angle._state,C=L[L.length-1],P=L[L.length-2];C%=2*Math.PI;var O=Math.abs(C+2*Math.PI-E),z=Math.abs(C-E),I=Math.abs(C-2*Math.PI-E);O<z&&(C+=2*Math.PI),I<z&&(C-=2*Math.PI),this.angle.jump(this.angle.lastT(),C,P),this.angle.set(t,E,S)}}}}},{\"filtered-vector\":229,\"gl-mat4/invert\":268,\"gl-mat4/rotate\":273,\"gl-vec3/cross\":336,\"gl-vec3/dot\":341,\"gl-vec3/normalize\":358}],541:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var a=t*e,i=n*t,o=i-(i-t),s=t-o,l=n*e,c=l-(l-e),u=e-c,h=s*u-(a-o*c-s*c-o*u);if(r)return r[0]=h,r[1]=a,r;return[h,a]};var n=+(Math.pow(2,27)+1)},{}],542:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var n=t+e,a=n-t,i=e-a,o=t-(n-a);if(r)return r[0]=o+i,r[1]=n,r;return[o+i,n]}},{}],543:[function(t,e,r){(function(e,n){\"use strict\";var 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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Coptic\",jdEpoch:1825029.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Coptic\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Thout\",\"Paopi\",\"Hathor\",\"Koiak\",\"Tobi\",\"Meshir\",\"Paremhat\",\"Paremoude\",\"Pashons\",\"Paoni\",\"Epip\",\"Mesori\",\"Pi Kogi Enavot\"],monthNamesShort:[\"Tho\",\"Pao\",\"Hath\",\"Koi\",\"Tob\",\"Mesh\",\"Pat\",\"Pad\",\"Pash\",\"Pao\",\"Epi\",\"Meso\",\"PiK\"],dayNames:[\"Tkyriaka\",\"Pesnau\",\"Pshoment\",\"Peftoou\",\"Ptiou\",\"Psoou\",\"Psabbaton\"],dayNamesShort:[\"Tky\",\"Pes\",\"Psh\",\"Pef\",\"Pti\",\"Pso\",\"Psa\"],dayNamesMin:[\"Tk\",\"Pes\",\"Psh\",\"Pef\",\"Pt\",\"Pso\",\"Psa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return(t=a.year())<0&&t++,a.day()+30*(a.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,a=e-30*(n-1)+1;return this.newDate(r,n,a)}}),n.calendars.coptic=i},{\"../main\":569,\"object-assign\":455}],557:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Discworld\",jdEpoch:1721425.5,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Discworld\",epochs:[\"BUC\",\"UC\"],monthNames:[\"Ick\",\"Offle\",\"February\",\"March\",\"April\",\"May\",\"June\",\"Grune\",\"August\",\"Spune\",\"Sektober\",\"Ember\",\"December\"],monthNamesShort:[\"Ick\",\"Off\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Gru\",\"Aug\",\"Spu\",\"Sek\",\"Emb\",\"Dec\"],dayNames:[\"Sunday\",\"Octeday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Oct\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Oc\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:2,isRTL:!1}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((a.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year()+(a.year()<0?1:0),e=a.month(),(r=a.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=i},{\"../main\":569,\"object-assign\":455}],558:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Ethiopian\",jdEpoch:1724220.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Ethiopian\",epochs:[\"BEE\",\"EE\"],monthNames:[\"Meskerem\",\"Tikemet\",\"Hidar\",\"Tahesas\",\"Tir\",\"Yekatit\",\"Megabit\",\"Miazia\",\"Genbot\",\"Sene\",\"Hamle\",\"Nehase\",\"Pagume\"],monthNamesShort:[\"Mes\",\"Tik\",\"Hid\",\"Tah\",\"Tir\",\"Yek\",\"Meg\",\"Mia\",\"Gen\",\"Sen\",\"Ham\",\"Neh\",\"Pag\"],dayNames:[\"Ehud\",\"Segno\",\"Maksegno\",\"Irob\",\"Hamus\",\"Arb\",\"Kidame\"],dayNamesShort:[\"Ehu\",\"Seg\",\"Mak\",\"Iro\",\"Ham\",\"Arb\",\"Kid\"],dayNamesMin:[\"Eh\",\"Se\",\"Ma\",\"Ir\",\"Ha\",\"Ar\",\"Ki\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return(t=a.year())<0&&t++,a.day()+30*(a.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,a=e-30*(n-1)+1;return this.newDate(r,n,a)}}),n.calendars.ethiopian=i},{\"../main\":569,\"object-assign\":455}],559:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)?30:8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(a)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(a)%10-3]}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=i},{\"../main\":569,\"object-assign\":455}],560:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm 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e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=i},{\"../main\":569,\"object-assign\":455}],561:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year(),e=a.month(),r=a.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),a=Math.floor((e-n)/30.6001),i=a-Math.floor(a<14?1:13),o=r-Math.floor(i>2?4716:4715),s=e-n-Math.floor(30.6001*a);return o<=0&&o--,this.newDate(o,i,s)}}),n.calendars.julian=i},{\"../main\":569,\"object-assign\":455}],562:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return 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n.baseCalendar;var o=n.instance(\"gregorian\");a(i.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidMonth);(t=a.year())<0&&t++;for(var i=a.day(),s=1;s<a.month();s++)i+=this.daysPerMonth[s-1];return i+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=i},{\"../main\":569,\"object-assign\":455}],564:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=i.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],i.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),a=e.dayOfYear(),i=r+56;this._createMissingCalendarData(i);for(var o=9,s=this.NEPALI_CALENDAR_DATA[i][0],l=this.NEPALI_CALENDAR_DATA[i][o]-s+1;a>l;)++o>12&&(o=1,i++),l+=this.NEPALI_CALENDAR_DATA[i][o];var c=this.NEPALI_CALENDAR_DATA[i][o]-(l-a);return this.newDate(i,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2000:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29,29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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Persian\",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Day\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Day\",\"Bah\",\"Esf\"],dayNames:[\"Yekshambe\",\"Doshambe\",\"Seshambe\",\"Ch\\xe6harshambe\",\"Panjshambe\",\"Jom'e\",\"Shambe\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Ch\\xe6\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t-(t>=0?474:473),s=474+o(i,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(i/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),a=2820;if(1029982!==n){var i=Math.floor(n/366),s=o(n,366);a=Math.floor((2134*i+2816*s+2815)/1028522)+i+1}var l=a+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),h=t-this.toJD(l,u,1)+1;return this.newDate(l,u,h)}}),n.calendars.persian=i,n.calendars.jalali=i},{\"../main\":569,\"object-assign\":455}],566:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":569,\"object-assign\":455}],567:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":569,\"object-assign\":455}],568:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,a=0,i=0;i<o.length;i++){if(o[i]>r)return o[a]-o[a-1];a++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate),i=12*(a.year()-1)+a.month()-15292;return a.day()+o[i-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var a=r+15292,i=Math.floor((a-1)/12),s=i+1,l=a-12*i,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var a=n.baseCalendar.prototype.isValid.apply(this,arguments);return a&&(a=(t=null!=t.year?t.year:t)>=1276&&t<=1500),a},_validate:function(t,e,r,a){var i=n.baseCalendar.prototype._validate.apply(this,arguments);if(i.year<1276||i.year>1500)throw a.replace(/\\{0\\}/,this.local.name);return i}}),n.calendars.ummalqura=i;var 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n=t(\"object-assign\");function a(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function i(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(a.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,a){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,a):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,function(e){return t[e]})}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",a=0;r>0;){var i=r%10;n=(0===i?\"\":t[i]+e[a])+n,a++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(i.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),a=t.calendar().fromJD(n);return this._validateLevel--,[a.year(),a.month(),a.day()]}try{var i=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);a=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(i,o)&&(o=this.newDate(i,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(i)),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)i--,o+=t.monthsInYear(i);for(var e=t.monthsInYear(i);o>e-1+t.minMonth;)i++,o-=e,e=t.monthsInYear(i)}(this),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o))));var s=[i,this.fromMonthOfYear(i,o),a];return this._validateLevel--,s}catch(t){throw 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l,c,u=t._fullLayout.annotations,h=e._id.charAt(0),f=0;f<u.length;f++)l=u[f],c=\"annotations[\"+f+\"].\",l[h+\"ref\"]===e._id&&p(h),l[\"a\"+h+\"ref\"]===e._id&&p(\"a\"+h);function p(t){var r=l[t],s=null;s=o?a(r,e.range):Math.pow(10,r),n(s)||(s=null),i(c+t,s)}}},{\"../../lib/to_log_range\":743,\"fast-isnumeric\":228}],579:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function i(r,a){return n.coerce(t,e,s,r,a)}var l=i(\"visible\"),c=i(\"clicktoshow\");if(l||c){o(t,e,r,i);for(var u=e.showarrow,h=[\"x\",\"y\"],f=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=h[d],v=a.coerceRef(t,e,p,g,\"\",\"paper\");if(\"paper\"!==v)a.getFromId(p,v)._annIndices.push(e._index);if(a.coercePosition(e,p,i,v,g,.5),u){var m=\"a\"+g,y=a.coerceRef(t,e,p,m,\"pixel\");\"pixel\"!==y&&y!==v&&(y=e[m]=\"pixel\");var 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j=e.font,V=x._meta?o.templateString(e.text,x._meta):e.text,U=z.append(\"text\").classed(\"annotation-text\",!0).text(V);_.annotationText?U.call(h.makeEditable,{delegate:z,gd:t}).call(H).on(\"edit\",function(r){e.text=r,this.call(H),T(\"text\",r),s&&s.autorange&&k(s._name+\".autorange\",!0),v&&v.autorange&&k(v._name+\".autorange\",!0),a.call(\"_guiRelayout\",t,M())}):U.call(H)}else n.selectAll(\"#\"+A).remove();function q(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return i&&(n.subplotId=i),n}function H(r){return r.call(c.font,j).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,G),r}function G(){var r=U.selectAll(\"a\");1===r.size()&&r.text()===U.text()&&z.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(F.node());var n=z.select(\".annotation-text-math-group\"),u=!n.empty(),d=c.bBox((u?n:U).node()),m=d.width,y=d.height,w=e.width||m,O=e.height||y,D=Math.round(w+2*R),j=Math.round(O+2*R);function V(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var H=!1,G=[\"x\",\"y\"],Y=0;Y<G.length;Y++){var W,X,Z,J,K,Q=G[Y],$=e[Q+\"ref\"]||Q,tt=e[\"a\"+Q+\"ref\"],et={x:s,y:v}[Q],rt=(E+(\"x\"===Q?0:-90))*Math.PI/180,nt=D*Math.cos(rt),at=j*Math.sin(rt),it=Math.abs(nt)+Math.abs(at),ot=e[Q+\"anchor\"],st=e[Q+\"shift\"]*(\"x\"===Q?1:-1),lt=S[Q];if(et){var ct=et.r2fraction(e[Q]);(ct<0||ct>1)&&(tt===$?((ct=et.r2fraction(e[\"a\"+Q]))<0||ct>1)&&(H=!0):H=!0),W=et._offset+et.r2p(e[Q]),J=.5}else\"x\"===Q?(Z=e[Q],W=b.l+b.w*Z):(Z=1-e[Q],W=b.t+b.h*Z),J=e.showarrow?.5:Z;if(e.showarrow){lt.head=W;var ut=e[\"a\"+Q];K=nt*V(.5,e.xanchor)-at*V(.5,e.yanchor),tt===$?(lt.tail=et._offset+et.r2p(ut),X=K):(lt.tail=W+ut,X=K+ut),lt.text=lt.tail+K;var ht=x[\"x\"===Q?\"width\":\"height\"];if(\"paper\"===$&&(lt.head=o.constrain(lt.head,1,ht-1)),\"pixel\"===tt){var ft=-Math.max(lt.tail-3,lt.text),pt=Math.min(lt.tail+3,lt.text)-ht;ft>0?(lt.tail+=ft,lt.text+=ft):pt>0&&(lt.tail-=pt,lt.text-=pt)}lt.tail+=st,lt.head+=st}else X=K=it*V(J,ot),lt.text=W+K;lt.text+=st,K+=st,X+=st,e[\"_\"+Q+\"padplus\"]=it/2+X,e[\"_\"+Q+\"padminus\"]=it/2-X,e[\"_\"+Q+\"size\"]=it,e[\"_\"+Q+\"shift\"]=K}if(H)z.remove();else{var dt=0,gt=0;if(\"left\"!==e.align&&(dt=(w-m)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(gt=(O-y)*(\"middle\"===e.valign?.5:1)),u)n.select(\"svg\").attr({x:R+dt-1,y:R+gt}).call(c.setClipUrl,B?A:null,t);else{var vt=R+gt-d.top,mt=R+dt-d.left;U.call(h.positionText,mt,vt).call(c.setClipUrl,B?A:null,t)}N.select(\"rect\").call(c.setRect,R,R,w,O),F.call(c.setRect,I/2,I/2,D-I,j-I),z.call(c.setTranslate,Math.round(S.x.text-D/2),Math.round(S.y.text-j/2)),C.attr({transform:\"rotate(\"+E+\",\"+S.x.text+\",\"+S.y.text+\")\"});var yt,xt=function(r,n){L.selectAll(\".annotation-arrow-g\").remove();var u=S.x.head,h=S.y.head,f=S.x.tail+r,d=S.y.tail+n,m=S.x.text+r,y=S.y.text+n,x=o.rotationXYMatrix(E,m,y),w=o.apply2DTransform(x),A=o.apply2DTransform2(x),P=+F.attr(\"width\"),O=+F.attr(\"height\"),I=m-.5*P,D=I+P,R=y-.5*O,B=R+O,N=[[I,R,I,B],[I,B,D,B],[D,B,D,R],[D,R,I,R]].map(A);if(!N.reduce(function(t,e){return t^!!o.segmentsIntersect(u,h,u+1e6,h+1e6,e[0],e[1],e[2],e[3])},!1)){N.forEach(function(t){var e=o.segmentsIntersect(f,d,u,h,t[0],t[1],t[2],t[3]);e&&(f=e.x,d=e.y)});var j=e.arrowwidth,V=e.arrowcolor,U=e.arrowside,q=L.append(\"g\").style({opacity:l.opacity(V)}).classed(\"annotation-arrow-g\",!0),H=q.append(\"path\").attr(\"d\",\"M\"+f+\",\"+d+\"L\"+u+\",\"+h).style(\"stroke-width\",j+\"px\").call(l.stroke,l.rgb(V));if(g(H,U,e),_.annotationPosition&&H.node().parentNode&&!i){var G=u,Y=h;if(e.standoff){var W=Math.sqrt(Math.pow(u-f,2)+Math.pow(h-d,2));G+=e.standoff*(f-u)/W,Y+=e.standoff*(d-h)/W}var X,Z,J=q.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(f-G)+\",\"+(d-Y),transform:\"translate(\"+G+\",\"+Y+\")\"}).style(\"stroke-width\",j+6+\"px\").call(l.stroke,\"rgba(0,0,0,0)\").call(l.fill,\"rgba(0,0,0,0)\");p.init({element:J.node(),gd:t,prepFn:function(){var t=c.getTranslate(z);X=t.x,Z=t.y,s&&s.autorange&&k(s._name+\".autorange\",!0),v&&v.autorange&&k(v._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(X,Z),a=n[0]+t,i=n[1]+r;z.call(c.setTranslate,a,i),T(\"x\",s?s.p2r(s.r2p(e.x)+t):e.x+t/b.w),T(\"y\",v?v.p2r(v.r2p(e.y)+r):e.y-r/b.h),e.axref===e.xref&&T(\"ax\",s.p2r(s.r2p(e.ax)+t)),e.ayref===e.yref&&T(\"ay\",v.p2r(v.r2p(e.ay)+r)),q.attr(\"transform\",\"translate(\"+t+\",\"+r+\")\"),C.attr({transform:\"rotate(\"+E+\",\"+a+\",\"+i+\")\"})},doneFn:function(){a.call(\"_guiRelayout\",t,M());var 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h=d.width;i=\"M\"+(r.x-h)+\",\"+r.yh+\"h\"+2*h+\"m-\"+h+\",0V\"+r.ys,r.noYS||(i+=\"m-\"+h+\",0h\"+2*h),!o.size()?o=e.append(\"path\").style(\"vector-effect\",\"non-scaling-stroke\").classed(\"yerror\",!0):u&&(o=o.transition().duration(s.duration).ease(s.easing)),o.attr(\"d\",i)}else o.remove();var f=e.select(\"path.xerror\");if(p.visible&&a(r.y)&&a(r.xh)&&a(r.xs)){var v=(p.copy_ystyle?d:p).width;i=\"M\"+r.xh+\",\"+(r.y-v)+\"v\"+2*v+\"m0,-\"+v+\"H\"+r.xs,r.noXS||(i+=\"m0,-\"+v+\"v\"+2*v),!f.size()?f=e.append(\"path\").style(\"vector-effect\",\"non-scaling-stroke\").classed(\"xerror\",!0):u&&(f=f.transition().duration(s.duration).ease(s.easing)),f.attr(\"d\",i)}else f.remove()}})}})}},{\"../../traces/scatter/subtypes\":1144,\"../drawing\":612,d3:165,\"fast-isnumeric\":228}],620:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../color\");e.exports=function(t){t.each(function(t){var e=t[0].trace,r=e.error_y||{},i=e.error_x||{},o=n.select(this);o.selectAll(\"path.yerror\").style(\"stroke-width\",r.thickness+\"px\").call(a.stroke,r.color),i.copy_ystyle&&(i=r),o.selectAll(\"path.xerror\").style(\"stroke-width\",i.thickness+\"px\").call(a.stroke,i.color)})}},{\"../color\":591,d3:165}],621:[function(t,e,r){\"use strict\";var n=t(\"../../plots/font_attributes\"),a=t(\"./layout_attributes\").hoverlabel,i=t(\"../../lib/extend\").extendFlat;e.exports={hoverlabel:{bgcolor:i({},a.bgcolor,{arrayOk:!0}),bordercolor:i({},a.bordercolor,{arrayOk:!0}),font:n({arrayOk:!0,editType:\"none\"}),align:i({},a.align,{arrayOk:!0}),namelength:i({},a.namelength,{arrayOk:!0}),editType:\"none\"}}},{\"../../lib/extend\":708,\"../../plots/font_attributes\":791,\"./layout_attributes\":631}],622:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../registry\");function i(t,e,r,a){a=a||n.identity,Array.isArray(t)&&(e[0][r]=a(t))}e.exports=function(t){var e=t.calcdata,r=t._fullLayout;function o(t){return function(e){return n.coerceHoverinfo({hoverinfo:e},{_module:t._module},r)}}for(var s=0;s<e.length;s++){var l=e[s],c=l[0].trace;if(!a.traceIs(c,\"pie-like\")){var u=a.traceIs(c,\"2dMap\")?i:n.fillArray;u(c.hoverinfo,l,\"hi\",o(c)),c.hovertemplate&&u(c.hovertemplate,l,\"ht\"),c.hoverlabel&&(u(c.hoverlabel.bgcolor,l,\"hbg\"),u(c.hoverlabel.bordercolor,l,\"hbc\"),u(c.hoverlabel.font.size,l,\"hts\"),u(c.hoverlabel.font.color,l,\"htc\"),u(c.hoverlabel.font.family,l,\"htf\"),u(c.hoverlabel.namelength,l,\"hnl\"),u(c.hoverlabel.align,l,\"hta\"))}}}},{\"../../lib\":717,\"../../registry\":846}],623:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"./hover\").hover;e.exports=function(t,e,r){var i=n.getComponentMethod(\"annotations\",\"onClick\")(t,t._hoverdata);function o(){t.emit(\"plotly_click\",{points:t._hoverdata,event:e})}void 0!==r&&a(t,e,r,!0),t._hoverdata&&e&&e.target&&(i&&i.then?i.then(o):o(),e.stopImmediatePropagation&&e.stopImmediatePropagation())}},{\"../../registry\":846,\"./hover\":627}],624:[function(t,e,r){\"use strict\";e.exports={YANGLE:60,HOVERARROWSIZE:6,HOVERTEXTPAD:3,HOVERFONTSIZE:13,HOVERFONT:\"Arial, sans-serif\",HOVERMINTIME:50,HOVERID:\"-hover\"}},{}],625:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./attributes\"),i=t(\"./hoverlabel_defaults\");e.exports=function(t,e,r,o){var s=n.extendFlat({},o.hoverlabel);e.hovertemplate&&(s.namelength=-1),i(t,e,function(r,i){return n.coerce(t,e,a,r,i)},s)}},{\"../../lib\":717,\"./attributes\":621,\"./hoverlabel_defaults\":628}],626:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");r.getSubplot=function(t){return t.subplot||t.xaxis+t.yaxis||t.geo},r.isTraceInSubplots=function(t,e){if(\"splom\"===t.type){for(var n=t.xaxes||[],a=t.yaxes||[],i=0;i<n.length;i++)for(var 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e._module.eventData?i=e._module.eventData(i,t,e,n,a):(\"xVal\"in t?i.x=t.xVal:\"x\"in t&&(i.x=t.x),\"yVal\"in t?i.y=t.yVal:\"y\"in t&&(i.y=t.y),t.xa&&(i.xaxis=t.xa),t.ya&&(i.yaxis=t.ya),void 0!==t.zLabelVal&&(i.z=t.zLabelVal)),r.appendArrayPointValue(i,e,a),i},r.appendArrayPointValue=function(t,e,r){var a=e._arrayAttrs;if(a)for(var s=0;s<a.length;s++){var l=a[s],c=i(l);if(void 0===t[c]){var u=o(n.nestedProperty(e,l).get(),r);void 0!==u&&(t[c]=u)}}},r.appendArrayMultiPointValues=function(t,e,r){var a=e._arrayAttrs;if(a)for(var s=0;s<a.length;s++){var l=a[s],c=i(l);if(void 0===t[c]){for(var u=n.nestedProperty(e,l).get(),h=new Array(r.length),f=0;f<r.length;f++)h[f]=o(u,r[f]);t[c]=h}}};var a={ids:\"id\",locations:\"location\",labels:\"label\",values:\"value\",\"marker.colors\":\"color\",parents:\"parent\"};function i(t){return a[t]||t}function o(t,e){return Array.isArray(e)?Array.isArray(t)&&Array.isArray(t[e[0]])?t[e[0]][e[1]]:void 0:t[e]}var s={x:!0,y:!0},l={\"x unified\":!0,\"y 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r=t.index,n=t.trace||{},i=t.cd[0],s=t.cd[r]||{};function l(t){return t||a(t)&&0===t}var c=Array.isArray(r)?function(t,e){var a=o.castOption(i,r,t);return l(a)?a:o.extractOption({},n,\"\",e)}:function(t,e){return o.extractOption(s,n,t,e)};function u(e,r,n){var a=c(r,n);l(a)&&(t[e]=a)}if(u(\"hoverinfo\",\"hi\",\"hoverinfo\"),u(\"bgcolor\",\"hbg\",\"hoverlabel.bgcolor\"),u(\"borderColor\",\"hbc\",\"hoverlabel.bordercolor\"),u(\"fontFamily\",\"htf\",\"hoverlabel.font.family\"),u(\"fontSize\",\"hts\",\"hoverlabel.font.size\"),u(\"fontColor\",\"htc\",\"hoverlabel.font.color\"),u(\"nameLength\",\"hnl\",\"hoverlabel.namelength\"),u(\"textAlign\",\"hta\",\"hoverlabel.align\"),t.posref=\"y\"===e||\"closest\"===e&&\"h\"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel=\"xLabel\"in 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n=r._dims,a=s.ensureSingle(t,\"rect\",u.railTouchRectClass,function(n){n.call(T,e,t,r).style(\"pointer-events\",\"all\")});a.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,u.tickOffset+r.ticklen+n.labelHeight)}).call(i.fill,r.bgcolor).attr(\"opacity\",0),o.setTranslate(a,0,n.currentValueTotalHeight)}function C(t,e){var r=e._dims,n=r.inputAreaLength-2*u.railInset,a=s.ensureSingle(t,\"rect\",u.railRectClass);a.attr({width:n,height:u.railWidth,rx:u.railRadius,ry:u.railRadius,\"shape-rendering\":\"crispEdges\"}).call(i.stroke,e.bordercolor).call(i.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\"),o.setTranslate(a,u.railInset,.5*(r.inputAreaWidth-u.railWidth)+r.currentValueTotalHeight)}e.exports=function(t){var e=t._fullLayout,r=function(t,e){for(var r=t[u.name],n=[],a=0;a<r.length;a++){var i=r[a];i.visible&&(i._gd=e,n.push(i))}return n}(e,t),i=e._infolayer.selectAll(\"g.\"+u.containerClassName).data(r.length>0?[0]:[]);function 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n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(A,r,!1),e.call(y,r)}(t,n.select(this),e)})}}},{\"../../constants/alignment\":686,\"../../lib\":717,\"../../lib/svg_text_utils\":741,\"../../plot_api/plot_template\":755,\"../../plots/plots\":826,\"../color\":591,\"../drawing\":612,\"./constants\":675,d3:165}],678:[function(t,e,r){\"use strict\";var n=t(\"./constants\");e.exports={moduleType:\"component\",name:n.name,layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),draw:t(\"./draw\")}},{\"./attributes\":674,\"./constants\":675,\"./defaults\":676,\"./draw\":677}],679:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"fast-isnumeric\"),i=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../lib\"),l=t(\"../drawing\"),c=t(\"../color\"),u=t(\"../../lib/svg_text_utils\"),h=t(\"../../constants/interactions\"),f=t(\"../../constants/alignment\").OPPOSITE_SIDE,p=/ [XY][0-9]* /;e.exports={draw:function(t,e,r){var d,g=r.propContainer,v=r.propName,m=r.placeholder,y=r.traceIndex,x=r.avoid||{},b=r.attributes,_=r.transform,w=r.containerGroup,k=t._fullLayout,T=1,M=!1,A=g.title,S=(A&&A.text?A.text:\"\").trim(),E=A&&A.font?A.font:{},L=E.family,C=E.size,P=E.color;\"title.text\"===v?d=\"titleText\":-1!==v.indexOf(\"axis\")?d=\"axisTitleText\":v.indexOf(!0)&&(d=\"colorbarTitleText\");var O=t._context.edits[d];\"\"===S?T=0:S.replace(p,\" % \")===m.replace(p,\" % \")&&(T=.2,M=!0,O||(S=\"\")),r._meta?S=s.templateString(S,r._meta):k._meta&&(S=s.templateString(S,k._meta));var z=S||O;w||(w=s.ensureSingle(k._infolayer,\"g\",\"g-\"+e));var I=w.selectAll(\"text\").data(z?[0]:[]);if(I.enter().append(\"text\"),I.text(S).attr(\"class\",e),I.exit().remove(),!z)return w;function D(t){s.syncOrAsync([R,F],t)}function R(e){var r;return _?(r=\"\",_.rotate&&(r+=\"rotate(\"+[_.rotate,b.x,b.y]+\")\"),_.offset&&(r+=\"translate(0, 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n=t(\"../../plots/font_attributes\"),a=t(\"../color/attributes\"),i=t(\"../../lib/extend\").extendFlat,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/pad_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=l(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:c,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:i(s({editType:\"arraydraw\"}),{}),font:n({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:a.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":708,\"../../plot_api/edit_types\":748,\"../../plot_api/plot_template\":755,\"../../plots/font_attributes\":791,\"../../plots/pad_attributes\":825,\"../color/attributes\":590}],681:[function(t,e,r){\"use strict\";e.exports={name:\"updatemenus\",containerClassName:\"updatemenu-container\",headerGroupClassName:\"updatemenu-header-group\",headerClassName:\"updatemenu-header\",headerArrowClassName:\"updatemenu-header-arrow\",dropdownButtonGroupClassName:\"updatemenu-dropdown-button-group\",dropdownButtonClassName:\"updatemenu-dropdown-button\",buttonClassName:\"updatemenu-button\",itemRectClassName:\"updatemenu-item-rect\",itemTextClassName:\"updatemenu-item-text\",menuIndexAttrName:\"updatemenu-active-index\",autoMarginIdRoot:\"updatemenu-\",blankHeaderOpts:{label:\"  \"},minWidth:30,minHeight:30,textPadX:24,arrowPadX:16,rx:2,ry:2,textOffsetX:12,textOffsetY:3,arrowOffsetX:4,gapButtonHeader:5,gapButton:2,activeColor:\"#F4FAFF\",hoverColor:\"#F4FAFF\",arrowSymbol:{left:\"\\u25c4\",right:\"\\u25ba\",up:\"\\u25b2\",down:\"\\u25bc\"}}},{}],682:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../plots/array_container_defaults\"),i=t(\"./attributes\"),o=t(\"./constants\").name,s=i.buttons;function l(t,e,r){function o(r,a){return n.coerce(t,e,i,r,a)}o(\"visible\",a(t,e,{name:\"buttons\",handleItemDefaults:c}).length>0)&&(o(\"active\"),o(\"direction\"),o(\"type\"),o(\"showactive\"),o(\"x\"),o(\"y\"),n.noneOrAll(t,e,[\"x\",\"y\"]),o(\"xanchor\"),o(\"yanchor\"),o(\"pad.t\"),o(\"pad.r\"),o(\"pad.b\"),o(\"pad.l\"),n.coerceFont(o,\"font\",r.font),o(\"bgcolor\",r.paper_bgcolor),o(\"bordercolor\"),o(\"borderwidth\"))}function c(t,e){function r(r,a){return n.coerce(t,e,s,r,a)}r(\"visible\",\"skip\"===t.method||Array.isArray(t.args))&&(r(\"method\"),r(\"args\"),r(\"args2\"),r(\"label\"),r(\"execute\"))}e.exports=function(t,e){a(t,e,{name:o,handleItemDefaults:l})}},{\"../../lib\":717,\"../../plots/array_container_defaults\":761,\"./attributes\":680,\"./constants\":681}],683:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/plots\"),i=t(\"../color\"),o=t(\"../drawing\"),s=t(\"../../lib\"),l=t(\"../../lib/svg_text_utils\"),c=t(\"../../plot_api/plot_template\").arrayEditor,u=t(\"../../constants/alignment\").LINE_SPACING,h=t(\"./constants\"),f=t(\"./scrollbox\");function p(t){return t._index}function d(t,e){return+t.attr(h.menuIndexAttrName)===e._index}function g(t,e,r,n,a,i,o,s){e.active=o,c(t.layout,h.name,e).applyUpdate(\"active\",o),\"buttons\"===e.type?m(t,n,null,null,e):\"dropdown\"===e.type&&(a.attr(h.menuIndexAttrName,\"-1\"),v(t,n,a,i,e),s||m(t,n,a,i,e))}function v(t,e,r,n,a){var 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c=n.select(this);c.call(y,o,s,t).call(A,o,b),c.on(\"click\",function(){n.event.defaultPrevented||(s.execute&&(s.args2&&o.active===l?(g(t,o,0,e,r,i,-1),a.executeAPICommand(t,s.method,s.args2)):(g(t,o,0,e,r,i,l),a.executeAPICommand(t,s.method,s.args))),t.emit(\"plotly_buttonclicked\",{menu:o,button:s,active:o.active}))}),c.on(\"mouseover\",function(){c.call(w)}),c.on(\"mouseout\",function(){c.call(k,o),u.call(_,o)})}),u.call(_,o),x?(T.w=Math.max(m.openWidth,m.headerWidth),T.h=b.y-T.t):(T.w=b.x-T.l,T.h=Math.max(m.openHeight,m.headerHeight)),T.direction=o.direction,i&&(u.size()?function(t,e,r,n,a,i){var o,s,l,c=a.direction,u=\"up\"===c||\"down\"===c,f=a._dims,p=a.active;if(u)for(s=0,l=0;l<p;l++)s+=f.heights[l]+h.gapButton;else for(o=0,l=0;l<p;l++)o+=f.widths[l]+h.gapButton;n.enable(i,o,s),n.hbar&&n.hbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\");n.vbar&&n.vbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\")}(0,0,0,i,o,T):function(t){var e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",function(){e=!1,r||t.disable()});r&&t.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",function(){r=!1,e||t.disable()})}(i))}function y(t,e,r,n){t.call(x,e).call(b,e,r,n)}function x(t,e){s.ensureSingle(t,\"rect\",h.itemRectClassName,function(t){t.attr({rx:h.rx,ry:h.ry,\"shape-rendering\":\"crispEdges\"})}).call(i.stroke,e.bordercolor).call(i.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var a=s.ensureSingle(t,\"text\",h.itemTextClassName,function(t){t.classed(\"user-select-none\",!0).attr({\"text-anchor\":\"start\",\"data-notex\":1})}),i=r.label,c=n._fullLayout._meta;c&&(i=s.templateString(i,c)),a.call(o.font,e.font).text(i).call(l.convertToTspans,n)}function _(t,e){var r=e.active;t.each(function(t,a){var o=n.select(this);a===r&&e.showactive&&o.select(\"rect.\"+h.itemRectClassName).call(i.fill,h.activeColor)})}function w(t){t.select(\"rect.\"+h.itemRectClassName).call(i.fill,h.hoverColor)}function k(t,e){t.select(\"rect.\"+h.itemRectClassName).call(i.fill,e.bgcolor)}function T(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},i=o.tester.selectAll(\"g.\"+h.dropdownButtonClassName).data(s.filterVisible(e.buttons));i.enter().append(\"g\").classed(h.dropdownButtonClassName,!0);var c=-1!==[\"up\",\"down\"].indexOf(e.direction);i.each(function(a,i){var s=n.select(this);s.call(y,e,a,t);var f=s.select(\".\"+h.itemTextClassName),p=f.node()&&o.bBox(f.node()).width,d=Math.max(p+h.textPadX,h.minWidth),g=e.font.size*u,v=l.lineCount(f),m=Math.max(g*v,h.minHeight)+h.textOffsetY;m=Math.ceil(m),d=Math.ceil(d),r.widths[i]=d,r.heights[i]=m,r.height1=Math.max(r.height1,m),r.width1=Math.max(r.width1,d),c?(r.totalWidth=Math.max(r.totalWidth,d),r.openWidth=r.totalWidth,r.totalHeight+=m+h.gapButton,r.openHeight+=m+h.gapButton):(r.totalWidth+=d+h.gapButton,r.openWidth+=d+h.gapButton,r.totalHeight=Math.max(r.totalHeight,m),r.openHeight=r.totalHeight)}),c?r.totalHeight-=h.gapButton:r.totalWidth-=h.gapButton,r.headerWidth=r.width1+h.arrowPadX,r.headerHeight=r.height1,\"dropdown\"===e.type&&(c?(r.width1+=h.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=h.arrowPadX),i.remove();var f=r.totalWidth+e.pad.l+e.pad.r,p=r.totalHeight+e.pad.t+e.pad.b,d=t._fullLayout._size;r.lx=d.l+d.w*e.x,r.ly=d.t+d.h*(1-e.y);var 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s(t,e,r){this.gd=t,this.container=e,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",!0).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0})}s.barWidth=2,s.barLength=20,s.barRadius=2,s.barPad=1,s.barColor=\"#808BA4\",s.prototype.enable=function(t,e,r){var o=this.gd._fullLayout,l=o.width,c=o.height;this.position=t;var u,h,f,p,d=this.position.l,g=this.position.w,v=this.position.t,m=this.position.h,y=this.position.direction,x=\"down\"===y,b=\"left\"===y,_=\"up\"===y,w=g,k=m;x||b||\"right\"===y||_||(this.position.direction=\"down\",x=!0),x||_?(h=(u=d)+w,x?(f=v,k=(p=Math.min(f+k,c))-f):k=(p=v+k)-(f=Math.max(p-k,0))):(p=(f=v)+k,b?w=(h=d+w)-(u=Math.max(h-w,0)):(u=d,w=(h=Math.min(u+w,l))-u)),this._box={l:u,t:f,w:w,h:k};var T=g>w,M=s.barLength+2*s.barPad,A=s.barWidth+2*s.barPad,S=d,E=v+m;E+A>c&&(E=c-A);var L=this.container.selectAll(\"rect.scrollbar-horizontal\").data(T?[0]:[]);L.exit().on(\".drag\",null).remove(),L.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(a.fill,s.barColor),T?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:M,height:A}),this._hbarXMin=S+M/2,this._hbarTranslateMax=w-M):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=m>k,P=s.barWidth+2*s.barPad,O=s.barLength+2*s.barPad,z=d+g,I=v;z+P>l&&(z=l-P);var D=this.container.selectAll(\"rect.scrollbar-vertical\").data(C?[0]:[]);D.exit().on(\".drag\",null).remove(),D.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(a.fill,s.barColor),C?(this.vbar=D.attr({rx:s.barRadius,ry:s.barRadius,x:z,y:I,width:P,height:O}),this._vbarYMin=I+O/2,this._vbarTranslateMax=k-O):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=u-.5,B=C?h+P+.5:h+.5,N=f-.5,j=T?p+A+.5:p+.5,V=o._topdefs.selectAll(\"#\"+R).data(T||C?[0]:[]);if(V.exit().remove(),V.enter().append(\"clipPath\").attr(\"id\",R).append(\"rect\"),T||C?(this._clipRect=V.select(\"rect\").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(i.setClipUrl,R,this.gd),this.bg.attr({x:d,y:v,width:g,height:m})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(i.setClipUrl,null),delete this._clipRect),T||C){var U=n.behavior.drag().on(\"dragstart\",function(){n.event.sourceEvent.preventDefault()}).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(U);var 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l=t[n];(l.loc||0===l.loc)&&(a[l.loc]=l)}function u(t){var r=h(t,e.featureidkey||\"id\").get(),n=a[r];if(n){var l=t.geometry;if(\"Polygon\"===l.type||\"MultiPolygon\"===l.type){var u={type:\"Feature\",id:r,geometry:l,properties:{}};u.properties.ct=function(t){var e,r=t.geometry;if(\"MultiPolygon\"===r.type)for(var n=r.coordinates,a=0,s=0;s<n.length;s++){var l={type:\"Polygon\",coordinates:n[s]},c=i.default(l);c>a&&(a=c,e=l)}else e=r;return o.default(e).geometry.coordinates}(u),n.fIn=t,n.fOut=u,s.push(u)}else c.log([\"Location\",n.loc,\"does not have a valid GeoJSON geometry.\",\"Traces with locationmode *geojson-id* only support\",\"*Polygon* and *MultiPolygon* geometries.\"].join(\" \"))}delete a[r]}switch(r.type){case\"FeatureCollection\":var f=r.features;for(n=0;n<f.length;n++)u(f[n]);break;case\"Feature\":u(r);break;default:return c.warn([\"Invalid GeoJSON type\",(r.type||\"none\")+\".\",\"Traces with locationmode *geojson-id* only support\",\"*FeatureCollection* and *Feature* 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l=e[n].cd[0].trace._fullInput,c=t._fullLayout._tracePreGUI[l.uid]||{};void 0===c.selectedpoints&&(c.selectedpoints=l._input.selectedpoints||null)}if(r){var u=r.points||[];for(n=0;n<e.length;n++)(s=e[n].cd[0].trace)._input.selectedpoints=s._fullInput.selectedpoints=[],s._fullInput!==s&&(s.selectedpoints=[]);for(n=0;n<u.length;n++){var h=u[n],d=h.data,g=h.fullData;h.pointIndices?([].push.apply(d.selectedpoints,h.pointIndices),s._fullInput!==s&&[].push.apply(g.selectedpoints,h.pointIndices)):(d.selectedpoints.push(h.pointIndex),s._fullInput!==s&&g.selectedpoints.push(h.pointIndex))}}else for(n=0;n<e.length;n++)delete(s=e[n].cd[0].trace).selectedpoints,delete s._input.selectedpoints,s._fullInput!==s&&delete s._fullInput.selectedpoints;var v=!1;for(n=0;n<e.length;n++){s=(o=(i=e[n]).cd)[0].trace,a.traceIs(s,\"regl\")&&(v=!0);var m=i._module,y=m.styleOnSelect||m.style;y&&(y(t,o,o[0].node3),o[0].nodeRangePlot3&&y(t,o,o[0].nodeRangePlot3))}v&&(f(t),p(t))}function 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n=t(\"d3\"),a=t(\"fast-isnumeric\"),i=t(\"../../lib\"),o=i.cleanNumber,s=i.ms2DateTime,l=i.dateTime2ms,c=i.ensureNumber,u=i.isArrayOrTypedArray,h=t(\"../../constants/numerical\"),f=h.FP_SAFE,p=h.BADNUM,d=h.LOG_CLIP,g=h.ONEDAY,v=h.ONEHOUR,m=h.ONEMIN,y=h.ONESEC,x=t(\"./axis_ids\"),b=t(\"./constants\"),_=b.HOUR_PATTERN,w=b.WEEKDAY_PATTERN;function k(t){return Math.pow(10,t)}function T(t){return null!=t}e.exports=function(t,e){e=e||{};var r=t._id||\"x\",h=r.charAt(0);function M(e,r){if(e>0)return Math.log(e)/Math.LN10;if(e<=0&&r&&t.range&&2===t.range.length){var n=t.range[0],a=t.range[1];return.5*(n+a-2*d*Math.abs(n-a))}return p}function A(e,r,n){var o=l(e,n||t.calendar);if(o===p){if(!a(e))return p;e=+e;var s=Math.floor(10*i.mod(e+.05,1)),c=Math.round(e-s/10);o=l(new Date(c))+s/10}return o}function S(e,r,n){return s(e,r,n||t.calendar)}function E(e){return t._categories[Math.round(e)]}function L(e){if(T(e)){if(void 0===t._categoriesMap&&(t._categoriesMap={}),void 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s,l,c=t.r2l(t[i][0],o),u=t.r2l(t[i][1],o),f=\"y\"===h;if((f?(t._offset=n.t+(1-t.domain[1])*n.h,t._length=n.h*(t.domain[1]-t.domain[0]),t._m=t._length/(c-u),t._b=-t._m*u):(t._offset=n.l+t.domain[0]*n.w,t._length=n.w*(t.domain[1]-t.domain[0]),t._m=t._length/(u-c),t._b=-t._m*c),t._rangebreaks=[],t._lBreaks=0,t._m2=0,t._B=[],t.rangebreaks)&&(t._rangebreaks=t.locateBreaks(Math.min(c,u),Math.max(c,u)),t._rangebreaks.length)){for(s=0;s<t._rangebreaks.length;s++)l=t._rangebreaks[s],t._lBreaks+=Math.abs(l.max-l.min);var p=f;c>u&&(p=!p),p&&t._rangebreaks.reverse();var d=p?-1:1;for(t._m2=d*t._length/(Math.abs(u-c)-t._lBreaks),t._B.push(-t._m2*(f?u:c)),s=0;s<t._rangebreaks.length;s++)l=t._rangebreaks[s],t._B.push(t._B[t._B.length-1]-d*t._m2*(l.max-l.min));for(s=0;s<t._rangebreaks.length;s++)(l=t._rangebreaks[s]).pmin=I(l.min),l.pmax=I(l.max)}if(!isFinite(t._m)||!isFinite(t._b)||t._length<0)throw e._replotting=!1,new Error(\"Something went wrong with axis 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n=t(\"d3\"),a=t(\"../../registry\"),i=t(\"../../lib\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../components/fx\"),c=t(\"../plots\"),u=t(\"../cartesian/axes\"),h=t(\"../cartesian/autorange\").getAutoRange,f=t(\"../../components/dragelement\"),p=t(\"../cartesian/select\").prepSelect,d=t(\"../cartesian/select\").selectOnClick,g=t(\"./zoom\"),v=t(\"./constants\"),m=t(\"../../lib/geo_location_utils\"),y=t(\"../../lib/topojson_utils\"),x=t(\"topojson-client\").feature;function b(t){this.id=t.id,this.graphDiv=t.graphDiv,this.container=t.container,this.topojsonURL=t.topojsonURL,this.isStatic=t.staticPlot,this.topojsonName=null,this.topojson=null,this.projection=null,this.scope=null,this.viewInitial=null,this.fitScale=null,this.bounds=null,this.midPt=null,this.hasChoropleth=!1,this.traceHash={},this.layers={},this.basePaths={},this.dataPaths={},this.dataPoints={},this.clipDef=null,this.clipRect=null,this.bgRect=null,this.makeFramework()}t(\"./projections\")(n);var _=b.prototype;function w(t,e){var r=v.clipPad,n=t[0]+r,a=t[1]-r,i=e[0]+r,o=e[1]-r;n>0&&a<0&&(a+=360);var s=(a-n)/4;return{type:\"Polygon\",coordinates:[[[n,i],[n,o],[n+s,o],[n+2*s,o],[n+3*s,o],[a,o],[a,i],[a-s,i],[a-2*s,i],[a-3*s,i],[n,i]]]}}e.exports=function(t){return new b(t)},_.plot=function(t,e,r){var n=this,a=e[this.id],i=[],o=!1;for(var s in v.layerNameToAdjective)if(\"frame\"!==s&&a[\"show\"+s]){o=!0;break}for(var l=0;l<t.length;l++)if(t[0][0].trace.locationmode){o=!0;break}if(o){var c=y.getTopojsonName(a);null!==n.topojson&&c===n.topojsonName||(n.topojsonName=c,void 0===PlotlyGeoAssets.topojson[n.topojsonName]&&i.push(n.fetchTopojson()))}i=i.concat(m.fetchTraceGeoData(t)),r.push(new Promise(function(r,a){Promise.all(i).then(function(){n.topojson=PlotlyGeoAssets.topojson[n.topojsonName],n.update(t,e),r()}).catch(a)}))},_.fetchTopojson=function(){var t=this,e=y.getTopojsonPath(t.topojsonURL,t.topojsonName);return new Promise(function(r,a){n.json(e,function(n,i){if(n)return 404===n.status?a(new Error([\"plotly.js could not find topojson file at\",e,\".\",\"Make sure the *topojsonURL* plot config option\",\"is set properly.\"].join(\" \"))):a(new Error([\"unexpected error while fetching topojson file at\",e].join(\" \")));PlotlyGeoAssets.topojson[t.topojsonName]=i,r()})})},_.update=function(t,e){var r=e[this.id];this.hasChoropleth=!1;for(var n=0;n<t.length;n++){var a=t[n],i=a[0].trace;\"choropleth\"===i.type&&(this.hasChoropleth=!0),!0===i.visible&&i._length>0&&i._module.calcGeoJSON(a,e)}if(!this.updateProjection(t,e)){this.viewInitial&&this.scope===r.scope||this.saveViewInitial(r),this.scope=r.scope,this.updateBaseLayers(e,r),this.updateDims(e,r),this.updateFx(e,r),c.generalUpdatePerTraceModule(this.graphDiv,this,t,r);var o=this.layers.frontplot.select(\".scatterlayer\");this.dataPoints.point=o.selectAll(\".point\"),this.dataPoints.text=o.selectAll(\"text\"),this.dataPaths.line=o.selectAll(\".js-line\");var s=this.layers.backplot.select(\".choroplethlayer\");this.dataPaths.choropleth=s.selectAll(\"path\"),this.render()}},_.updateProjection=function(t,e){var r=this.graphDiv,o=e[this.id],s=e._size,l=o.domain,c=o.projection,u=o.lonaxis,f=o.lataxis,p=u._ax,d=f._ax,g=this.projection=function(t){for(var e=t.projection.type,r=n.geo[v.projNames[e]](),a=t._isClipped?v.lonaxisSpan[e]/2:null,i=[\"center\",\"rotate\",\"parallels\",\"clipExtent\"],o=function(t){return t?r:[]},s=0;s<i.length;s++){var l=i[s];\"function\"!=typeof r[l]&&(r[l]=o)}r.isLonLatOverEdges=function(t){if(null===r(t))return!0;if(a){var e=r.rotate();return n.geo.distance(t,[-e[0],-e[1]])>a*Math.PI/180}return!1},r.getPath=function(){return n.geo.path().projection(r)},r.getBounds=function(t){return r.getPath().bounds(t)},r.fitExtent=function(t,e){var n=t[1][0]-t[0][0],a=t[1][1]-t[0][1],i=r.clipExtent&&r.clipExtent();r.scale(150).translate([0,0]),i&&r.clipExtent(null);var o=r.getBounds(e),s=Math.min(n/(o[1][0]-o[0][0]),a/(o[1][1]-o[0][1])),l=+t[0][0]+(n-s*(o[1][0]+o[0][0]))/2,c=+t[0][1]+(a-s*(o[1][1]+o[0][1]))/2;return i&&r.clipExtent(i),r.scale(150*s).translate([l,c])},r.precision(v.precision),a&&r.clipAngle(a-v.clipPad);return r}(o),m=[[s.l+s.w*l.x[0],s.t+s.h*(1-l.y[1])],[s.l+s.w*l.x[1],s.t+s.h*(1-l.y[0])]],y=o.center||{},x=c.rotation||{},b=u.range||[],_=f.range||[];if(o.fitbounds){p._length=m[1][0]-m[0][0],d._length=m[1][1]-m[0][1],p.range=h(r,p),d.range=h(r,d);var k=(p.range[0]+p.range[1])/2,T=(d.range[0]+d.range[1])/2;if(o._isScoped)y={lon:k,lat:T};else if(o._isClipped){y={lon:k,lat:T},x={lon:k,lat:T,roll:x.roll};var M=c.type,A=v.lonaxisSpan[M]/2||180,S=v.lataxisSpan[M]/2||180;b=[k-A,k+A],_=[T-S,T+S]}else y={lon:k,lat:T},x={lon:k,lat:x.lat,roll:x.roll}}g.center([y.lon-x.lon,y.lat-x.lat]).rotate([-x.lon,-x.lat,x.roll]).parallels(c.parallels);var E=w(b,_);g.fitExtent(m,E);var L=this.bounds=g.getBounds(E),C=this.fitScale=g.scale(),P=g.translate();if(!isFinite(L[0][0])||!isFinite(L[0][1])||!isFinite(L[1][0])||!isFinite(L[1][1])||isNaN(P[0])||isNaN(P[0])){for(var O=[\"fitbounds\",\"projection.rotation\",\"center\",\"lonaxis.range\",\"lataxis.range\"],z=\"Invalid geo settings, relayout'ing to default 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n,a,i,o=e[t],s=v.scopeDefaults[e.scope];\"lonaxis\"===t?(n=s.lonaxisRange,a=s.lataxisRange,i=function(t,e){return[t,e]}):\"lataxis\"===t&&(n=s.lataxisRange,a=s.lonaxisRange,i=function(t,e){return[e,t]});var l={type:\"linear\",range:[n[0],n[1]-1e-6],tick0:o.tick0,dtick:o.dtick};u.setConvert(l,r);var c=u.calcTicks(l);e.isScoped||\"lonaxis\"!==t||c.pop();for(var h=c.length,f=new Array(h),p=0;p<h;p++)for(var d=c[p].x,g=f[p]=[],m=a[0];m<a[1]+2.5;m+=2.5)g.push(i(d,m));return{type:\"MultiLineString\",coordinates:f}}(r,e,t)).call(o.stroke,e[r].gridcolor).call(s.dashLine,\"\",e[r].gridwidth),h(r)?n.call(o.stroke,e[i+\"color\"]).call(s.dashLine,\"\",e[i+\"width\"]):f(r)&&n.call(o.fill,e[i+\"color\"])})},_.updateDims=function(t,e){var r=this.bounds,n=(e.framewidth||0)/2,a=r[0][0]-n,i=r[0][1]-n,l=r[1][0]-a+n,c=r[1][1]-i+n;s.setRect(this.clipRect,a,i,l,c),this.bgRect.call(s.setRect,a,i,l,c).call(o.fill,e.bgcolor),this.xaxis._offset=a,this.xaxis._length=l,this.yaxis._offset=i,this.yaxis._length=c},_.updateFx=function(t,e){var r=this,i=r.graphDiv,o=r.bgRect,s=t.dragmode,c=t.clickmode;if(!r.isStatic){var u;\"select\"===s?u=function(t,e){(t.range={})[r.id]=[v([e.xmin,e.ymin]),v([e.xmax,e.ymax])]}:\"lasso\"===s&&(u=function(t,e,n){(t.lassoPoints={})[r.id]=n.filtered.map(v)});var h={element:r.bgRect.node(),gd:i,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:u},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(e){2===e&&t._zoomlayer.selectAll(\".select-outline\").remove()}};\"pan\"===s?(o.node().onmousedown=null,o.call(g(r,e)),o.on(\"dblclick.zoom\",function(){var t=r.viewInitial,e={};for(var n in 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t=this,e=t.graphDiv,r=e._fullLayout,a=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",a),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(s.setClipUrl,a,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},u.setConvert(t.mockAxis,r)},_.saveViewInitial=function(t){var e,r=t.center||{},n=t.projection,a=n.rotation||{};this.viewInitial={fitbounds:t.fitbounds,\"projection.scale\":n.scale},e=t._isScoped?{\"center.lon\":r.lon,\"center.lat\":r.lat}:t._isClipped?{\"projection.rotation.lon\":a.lon,\"projection.rotation.lat\":a.lat}:{\"center.lon\":r.lon,\"center.lat\":r.lat,\"projection.rotation.lon\":a.lon},i.extendFlat(this.viewInitial,e)},_.render=function(){var t,e=this.projection,r=e.getPath();function n(t){var r=e(t.lonlat);return r?\"translate(\"+r[0]+\",\"+r[1]+\")\":null}function a(t){return e.isLonLatOverEdges(t.lonlat)?\"none\":null}for(t in this.basePaths)this.basePaths[t].attr(\"d\",r);for(t in this.dataPaths)this.dataPaths[t].attr(\"d\",function(t){return r(t.geojson)});for(t in this.dataPoints)this.dataPoints[t].attr(\"display\",a).attr(\"transform\",n)}},{\"../../components/color\":591,\"../../components/dragelement\":609,\"../../components/drawing\":612,\"../../components/fx\":630,\"../../lib\":717,\"../../lib/geo_location_utils\":711,\"../../lib/topojson_utils\":744,\"../../registry\":846,\"../cartesian/autorange\":764,\"../cartesian/axes\":765,\"../cartesian/select\":782,\"../plots\":826,\"./constants\":793,\"./projections\":798,\"./zoom\":799,d3:165,\"topojson-client\":538}],795:[function(t,e,r){\"use strict\";var n=t(\"../../plots/get_data\").getSubplotCalcData,a=t(\"../../lib\").counterRegex,i=t(\"./geo\"),o=\"geo\",s=a(o),l={};l[o]={valType:\"subplotid\",dflt:o,editType:\"calc\"},e.exports={attr:o,name:o,idRoot:o,idRegex:s,attrRegex:s,attributes:l,layoutAttributes:t(\"./layout_attributes\"),supplyLayoutDefaults:t(\"./layout_defaults\"),plot:function(t){for(var e=t._fullLayout,r=t.calcdata,a=e._subplots[o],s=0;s<a.length;s++){var 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n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"./scene2d\"),i=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:i.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,i=0;i<n.length;i++){var o=n[i],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new a({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl2d||[],i=0;i<a.length;i++){var o=a[i],s=n._plots[o];if(s._scene2d)0===u(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var a=e._plots[r[n]]._scene2d,i=a.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":i,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),a.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":631,\"../../constants/xmlns_namespaces\":694,\"../../plot_api/edit_types\":748,\"../cartesian\":776,\"../cartesian/attributes\":763,\"../cartesian/constants\":771,\"../get_data\":800,\"../layout_attributes\":817,\"./scene2d\":804}],804:[function(t,e,r){\"use strict\";var n,a,i=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"gl-plot2d\"),c=t(\"gl-spikes2d\"),u=t(\"gl-select-box\"),h=t(\"webgl-context\"),f=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),v=g.enforce,m=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=[\"xaxis\",\"yaxis\"],b=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function _(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=f(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=_;var w=_.prototype;w.makeFramework=function(){if(this.staticPlot){if(!(a||(n=document.createElement(\"canvas\"),a=h({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=a}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=h({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r),r.className+=\" user-select-none\";var i=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(i),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",function(){l.isMouseOver=!1,l.unhover()}),o.addEventListener(\"mouseover\",function(){l.isMouseOver=!0})},w.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,a=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*a*4);e.readPixels(0,0,r,a,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=a-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=i[4*(r*o+l)+c];i[4*(r*o+l)+c]=i[4*(r*s+l)+c],i[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=a;var f,p=h.getContext(\"2d\"),d=p.createImageData(r,a);switch(d.data.set(i),p.putImageData(d,0,0),t){case\"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case\"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),f},w.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,a=r.height,i=0|Math.ceil(e*n),o=0|Math.ceil(e*a);return t.width===i&&t.height===o||(t.width=i,t.height=o),t},w.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},w.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(b),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},w.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,a={},o=a[e._name+\".range\"]=e.range.slice(),s=a[r._name+\".range\"]=r.range.slice();a[e._name+\".autorange\"]=e.autorange,a[r._name+\".autorange\"]=r.autorange,i.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,a);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,a.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",a)},w.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],a=e[r];if(n.length!==a.length)return!0;for(var i=0;i<n.length;++i)if(n[i].x!==a[i].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},w.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&i.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},w.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map(function(e){t[e].dispose(),delete t[e]}),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},w.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var a=r.width,i=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,a,i];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};m(s,this.xaxis),m(s,this.yaxis);var l,c,u=r._size,h=this.xaxis.domain,f=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+f[0]*u.h,a-u.r-(1-h[1])*u.w,i-u.t-(1-f[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+\"px\",this.mouseContainer.style.height=u.h*(f[1]-f[0])+\"px\",this.mouseContainer.height=u.h*(f[1]-f[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-f[1])*u.h+\"px\",c=0;c<2;++c)(l=this[x[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();v(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},w.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,a=t.r2l,i=e.r2l;return[a(r[0]),i(n[0]),a(r[1]),i(n[1])]},w.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,a=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[a(t[1]),a(t[3])]},w.updateTraces=function(t,e){var r,n,a,i=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<i.length;r++){var o=i[r],s=this.traces[o];for(n=0;n<t.length;n++)if((a=t[n]).uid===o&&a.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){a=t[r];var l=e[r],c=this.traces[a.uid];c?c.update(a,l):(c=a._module.plot(this,a,l),this.traces[a.uid]=c)}this.glplot.objects.sort(function(t,e){return t._trace.index-e._trace.index})},w.updateFx=function(t){\"lasso\"===t||\"select\"===t?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},w.emitPointAction=function(t,e){for(var r,n=t.trace.uid,a=t.pointIndex,i=0;i<this.fullData.length;i++)this.fullData[i].uid===n&&(r=this.fullData[i]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:a,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,a),this.graphDiv.emit(e,{points:[o]})},w.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,a=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var i,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===a.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=a._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(i=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&i.object._trace.handlePick(i);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),i&&\"skip\"!==i.object._trace.hoverinfo&&a.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:i.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(i.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(i.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var v=this.fullData[g.trace.index]||{},m=g.pointIndex,y=s.castHoverinfo(v,a,m);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(v,m,\"bgcolor\")||g.color,borderColor:s.castHoverOption(v,m,\"bordercolor\"),fontFamily:s.castHoverOption(v,m,\"font.family\"),fontSize:s.castHoverOption(v,m,\"font.size\"),fontColor:s.castHoverOption(v,m,\"font.color\"),nameLength:s.castHoverOption(v,m,\"namelength\"),textAlign:s.castHoverOption(v,m,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}i||this.unhover(),t.draw()}},w.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},w.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/fx\":630,\"../../lib/show_no_webgl_msg\":738,\"../../plots/cartesian/axes\":765,\"../../registry\":846,\"../cartesian/autorange\":764,\"../cartesian/constants\":771,\"../cartesian/constraints\":772,\"./camera\":801,\"./convert\":802,\"gl-plot2d\":290,\"gl-select-box\":302,\"gl-spikes2d\":311,\"webgl-context\":554}],805:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"../../components/fx/layout_attributes\"),i=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:a.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,a=0;a<n.length;a++){var s=n[a],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,h=c._scene;h||(h=new i({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),h.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl3d||[],i=0;i<a.length;i++){var o=a[i];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,a=0;a<r.length;a++){var i=e[r[a]],o=i.domain,s=i._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":631,\"../../constants/xmlns_namespaces\":694,\"../../lib\":717,\"../../plot_api/edit_types\":748,\"../get_data\":800,\"./layout/attributes\":806,\"./layout/defaults\":810,\"./layout/layout_attributes\":811,\"./scene\":815}],806:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],807:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),a=t(\"../../cartesian/layout_attributes\"),i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:a.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:a.color,categoryorder:a.categoryorder,categoryarray:a.categoryarray,title:{text:a.title.text,font:a.title.font},type:i({},a.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autorange:a.autorange,rangemode:a.rangemode,range:i({},a.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:a.tickmode,nticks:a.nticks,tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,mirror:a.mirror,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,showticklabels:a.showticklabels,tickfont:a.tickfont,tickangle:a.tickangle,tickprefix:a.tickprefix,showtickprefix:a.showtickprefix,ticksuffix:a.ticksuffix,showticksuffix:a.showticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,separatethousands:a.separatethousands,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:a.showline,linecolor:a.linecolor,linewidth:a.linewidth,showgrid:a.showgrid,gridcolor:i({},a.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:a.gridwidth,zeroline:a.zeroline,zerolinecolor:a.zerolinecolor,zerolinewidth:a.zerolinewidth,_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":591,\"../../../lib/extend\":708,\"../../../plot_api/edit_types\":748,\"../../cartesian/layout_attributes\":777}],808:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,a=t(\"../../../lib\"),i=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,h;function f(t,e){return a.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=i.newContainer(e,d))._id=d[0]+r.scene,h._name=d,s(u,h,f,r),l(u,h,f,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f(\"gridcolor\",n(h.color,r.bgColor,13600/187).toRgbString()),f(\"title.text\",d[0]),h.setScale=a.noop,f(\"showspikes\")&&(f(\"spikesides\"),f(\"spikethickness\"),f(\"spikecolor\",h.color)),f(\"showaxeslabels\"),f(\"showbackground\")&&f(\"backgroundcolor\")}}},{\"../../../lib\":717,\"../../../plot_api/plot_template\":755,\"../../cartesian/axis_defaults\":767,\"../../cartesian/type_defaults\":788,\"./axis_attributes\":807,tinycolor2:535}],809:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[i[r]];o.visible?(this.labels[r]=t._meta?a.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":717,\"../../../lib/str2rgbarray\":740}],810:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),a=t(\"../../../components/color\"),i=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData,u=\"gl3d\";function h(t,e,r,n){for(var o=r(\"bgcolor\"),l=a.combine(o,n.paper_bgcolor),h=[\"up\",\"center\",\"eye\"],f=0;f<h.length;f++)r(\"camera.\"+h[f]+\".x\"),r(\"camera.\"+h[f]+\".y\"),r(\"camera.\"+h[f]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var g=c(n.fullData,u,n.id);s(t,e,{font:n.font,scene:n.id,data:g,bgColor:l,calendar:n.calendar,fullLayout:n.fullLayout}),i.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var v=n.getDfltFromLayout(\"dragmode\");if(!1!==v&&!v)if(v=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,y=t.camera.up.y,x=t.camera.up.z;0!==x&&(m&&y&&x?x/Math.sqrt(m*m+y*y+x*x)>.999&&(v=\"turntable\"):v=\"turntable\")}else v=\"turntable\";r(\"dragmode\",v),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var a=e._basePlotModules.length>1;o(t,e,r,{type:u,attributes:l,handleDefaults:h,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!a)return n.validate(t[e],l[e])?t[e]:void 0},paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":591,\"../../../lib\":717,\"../../../registry\":846,\"../../get_data\":800,\"../../subplot_defaults\":840,\"./axis_defaults\":808,\"./layout_attributes\":811}],811:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),a=t(\"../../domain\").attributes,i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:i(s(0,0,1),{}),center:i(s(0,0,0),{}),eye:i(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:a({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":717,\"../../../lib/extend\":708,\"../../domain\":790,\"./axis_attributes\":807}],812:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function i(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}i.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[a[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new i;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":740}],813:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[i[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var f=u.nticks||a.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=h}}e.ticks=l;for(var c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(var d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],a=new Array(n.length),i=0;i<n.length;++i)a[i]=n[i].x;e[r]=a}return e}(l)};var n=t(\"../../cartesian/axes\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":717,\"../../cartesian/axes\":765}],814:[function(t,e,r){\"use strict\";function n(t,e){var r,n,a=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)a[n]+=t[4*r+n]*e[r];return a}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],815:[function(t,e,r){\"use strict\";var n,a,i=t(\"gl-plot3d\"),o=i.createCamera,s=i.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),h=t(\"../../lib\"),f=t(\"../../plots/cartesian/axes\"),p=t(\"../../components/fx\"),d=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),m=t(\"./layout/convert\"),y=t(\"./layout/spikes\"),x=t(\"./layout/tick_marks\"),b=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var a=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\",r.appendChild(a),this.svgContainer=a,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=y(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:b,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(a||(n=document.createElement(\"canvas\"),a=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=a,t.canvas=n}return t},w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode)e=!1;else try{h.warn([\"webgl setup failed possibly due to\",b?\"disabling\":\"enabling\",\"preserveDrawingBuffer config.\",\"The device may not be supported by is-mobile module!\",\"Inverting preserveDrawingBuffer option in second attempt to create webgl scene.\"].join(\" \")),b=t.glOptions.preserveDrawingBuffer=!t.glOptions.preserveDrawingBuffer,this.glplot=s(t)}catch(t){e=!1}}return e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},a=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas.addEventListener(\"mouseup\",function(){a(t)}),t.glplot.canvas.addEventListener(\"wheel\",function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,i=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*i.x,y:n*i.y,z:n*i.z})}a(t)}},!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}}),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})},!1),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,a=e.container.getBoundingClientRect(),i=a.width,o=a.height;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+i+\" \"+o),n.setAttributeNS(null,\"width\",i),n.setAttributeNS(null,\"height\",o),x(e),e.glplot.axes.update(e.axesOptions);for(var s,l=Object.keys(e.traces),c=null,u=e.glplot.selection,d=0;d<l.length;++d)\"skip\"!==(t=e.traces[l[d]]).data.hoverinfo&&t.handlePick(u)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r){var n=e.fullSceneLayout[t];return f.tickText(n,n.d2l(r),\"hover\").text}if(null!==c){var m=v(e.glplot.cameraParams,u.dataCoordinate);t=c.data;var y,b=r._fullData[t.index],_=u.index,w={xLabel:g(\"xaxis\",u.traceCoordinate[0]),yLabel:g(\"yaxis\",u.traceCoordinate[1]),zLabel:g(\"zaxis\",u.traceCoordinate[2])},k=p.castHoverinfo(b,e.fullLayout,_),T=(k||\"\").split(\"+\"),M=k&&\"all\"===k;b.hovertemplate||M||(-1===T.indexOf(\"x\")&&(w.xLabel=void 0),-1===T.indexOf(\"y\")&&(w.yLabel=void 0),-1===T.indexOf(\"z\")&&(w.zLabel=void 0),-1===T.indexOf(\"text\")&&(u.textLabel=void 0),-1===T.indexOf(\"name\")&&(c.name=void 0));var A=[];\"cone\"===t.type||\"streamtube\"===t.type?(w.uLabel=g(\"xaxis\",u.traceCoordinate[3]),(M||-1!==T.indexOf(\"u\"))&&A.push(\"u: \"+w.uLabel),w.vLabel=g(\"yaxis\",u.traceCoordinate[4]),(M||-1!==T.indexOf(\"v\"))&&A.push(\"v: \"+w.vLabel),w.wLabel=g(\"zaxis\",u.traceCoordinate[5]),(M||-1!==T.indexOf(\"w\"))&&A.push(\"w: \"+w.wLabel),w.normLabel=u.traceCoordinate[6].toPrecision(3),(M||-1!==T.indexOf(\"norm\"))&&A.push(\"norm: \"+w.normLabel),\"streamtube\"===t.type&&(w.divergenceLabel=u.traceCoordinate[7].toPrecision(3),(M||-1!==T.indexOf(\"divergence\"))&&A.push(\"divergence: \"+w.divergenceLabel)),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(w.valueLabel=f.tickText(e._mockAxis,e._mockAxis.d2l(u.traceCoordinate[3]),\"hover\").text,A.push(\"value: \"+w.valueLabel),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):y=u.textLabel;var S={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:_};p.appendArrayPointValue(S,b,_),t._module.eventData&&(S=b._module.eventData(S,u,b,{},_));var E={points:[S]};e.fullSceneLayout.hovermode&&p.loneHover({trace:b,x:(.5+.5*m[0]/m[3])*i,y:(.5-.5*m[1]/m[3])*o,xLabel:w.xLabel,yLabel:w.yLabel,zLabel:w.zLabel,text:y,name:c.name,color:p.castHoverOption(b,_,\"bgcolor\")||c.color,borderColor:p.castHoverOption(b,_,\"bordercolor\"),fontFamily:p.castHoverOption(b,_,\"font.family\"),fontSize:p.castHoverOption(b,_,\"font.size\"),fontColor:p.castHoverOption(b,_,\"font.color\"),nameLength:p.castHoverOption(b,_,\"namelength\"),textAlign:p.castHoverOption(b,_,\"align\"),hovertemplate:h.castOption(b,_,\"hovertemplate\"),hovertemplateLabels:h.extendFlat({},S,w),eventData:[S]},{container:n,gd:r}),u.buttons&&u.distance<5?r.emit(\"plotly_click\",E):r.emit(\"plotly_hover\",E),s=E}else p.loneUnhover(n),r.emit(\"plotly_unhover\",s);e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):h.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var k=[\"xaxis\",\"yaxis\",\"zaxis\"];function T(t,e,r){for(var n=t.fullSceneLayout,a=0;a<3;a++){var i=k[a],o=i.charAt(0),s=n[i],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(h.isArrayOrTypedArray(l))for(var f,p=0;p<(u||l.length);p++)if(h.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)f=s.d2l(l[p][d],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else f=s.d2l(l[p],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else r[0][a]=Math.min(r[0][a],0),r[1][a]=Math.max(r[1][a],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,a,i,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(d(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&T(this,n,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],a=0;a<3;a++)for(var i=k[a],o=i.charAt(0),s=r[i],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][a]=Math.min(e[0][a],u),e[1][a]=Math.max(e[1][a],u))}}}(this,h);var 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p=s.select(i._subplot.div);if(!(null===p.select(\".mapboxgl-ctrl-logo\").node().offsetParent)){var d=e._glimages.append(\"g\");d.attr(\"transform\",\"translate(\"+(n.l+n.w*u.x[0]+10)+\", \"+(n.t+n.h*(1-u.y[0])-31)+\")\"),d.append(\"path\").attr(\"d\",h.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),d.append(\"path\").attr(\"d\",h.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),d.append(\"path\").attr(\"d\",h.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),d.append(\"polygon\").attr(\"points\",h.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var g=p.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),v=e._glimages.append(\"g\"),m=v.append(\"text\");m.text(g).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":g});var 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i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}s.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=l(t)},s.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},s.needsNewSource=function(t){return this.sourceType!==t.sourcetype||this.source!==t.source||this.layerType!==t.type},s.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},s.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates})},s.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,l(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};\"geojson\"===r?e=\"data\":\"vector\"===r?e=\"string\"==typeof 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t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},s.dispose=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer),t.getSource(this.idSource)&&t.removeSource(this.idSource)},e.exports=function(t,e,r){var n=new o(t,e);return n.update(r),n}},{\"../../lib\":717,\"./constants\":818,\"./convert_text_opts\":819}],822:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/color\").defaultLine,i=t(\"../domain\").attributes,o=t(\"../font_attributes\"),s=t(\"../../traces/scatter/attributes\").textposition,l=t(\"../../plot_api/edit_types\").overrideAll,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"./constants\"),h=o({});h.family.dflt=\"Open Sans Regular, Arial Unicode MS 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strict\";var n=t(\"../../lib\"),a=t(\"../subplot_defaults\"),i=t(\"../array_container_defaults\"),o=t(\"./layout_attributes\");function s(t,e,r,n){r(\"accesstoken\",n.accessToken),r(\"style\"),r(\"center.lon\"),r(\"center.lat\"),r(\"zoom\"),r(\"bearing\"),r(\"pitch\"),i(t,e,{name:\"layers\",handleItemDefaults:l}),e._input=t}function l(t,e){function r(r,a){return n.coerce(t,e,o.layers,r,a)}if(r(\"visible\")){var a,i=r(\"sourcetype\"),s=\"raster\"===i||\"image\"===i;r(\"source\"),r(\"sourceattribution\"),\"vector\"===i&&r(\"sourcelayer\"),\"image\"===i&&r(\"coordinates\"),s&&(a=\"raster\");var l=r(\"type\",a);s&&\"raster\"!==l&&(l=e.type=\"raster\",n.log(\"Source types *raster* and *image* must drawn *raster* layer 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X=n.svg.axis().scale(r).ticks(5).tickSize(5);H.call(X).attr({transform:\"rotate(\"+f.radialAxis.orientation+\")\"}),H.selectAll(\".domain\").style(F),H.selectAll(\"g>text\").text(function(t,e){return this.textContent+f.radialAxis.ticksSuffix}).style(B).style({\"text-anchor\":\"start\"}).attr({x:0,y:0,dx:0,dy:0,transform:function(t,e){return\"horizontal\"===f.radialAxis.tickOrientation?\"rotate(\"+-f.radialAxis.orientation+\") translate(\"+[0,B[\"font-size\"]]+\")\":\"translate(\"+[0,B[\"font-size\"]]+\")\"}}),H.selectAll(\"g>line\").style({stroke:\"black\"})}var Z=t.select(\".angular.axis-group\").selectAll(\"g.angular-tick\").data(O),J=Z.enter().append(\"g\").classed(\"angular-tick\",!0);Z.attr({transform:function(t,e){return\"rotate(\"+W(t)+\")\"}}).style({display:f.angularAxis.visible?\"block\":\"none\"}),Z.exit().remove(),J.append(\"line\").classed(\"grid-line\",!0).classed(\"major\",function(t,e){return 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e%(f.minorTicks+1)!=0?\"\":f.angularAxis.rewriteTicks(this.textContent,e)});var Q=n.max(R.selectAll(\".angular-tick text\")[0].map(function(t,e){return t.getCTM().e+t.getBBox().width}));D.attr({transform:\"translate(\"+[x+Q,f.margin.top]+\")\"});var $=t.select(\"g.geometry-group\").selectAll(\"g\").size()>0,tt=t.select(\"g.geometry-group\").selectAll(\"g.geometry\").data(p);if(tt.enter().append(\"g\").attr({class:function(t,e){return\"geometry geometry\"+e}}),tt.exit().remove(),p[0]||$){var et=[];p.forEach(function(t,e){var n={};n.radialScale=r,n.angularScale=s,n.container=tt.filter(function(t,r){return r==e}),n.geometry=t.geometry,n.orientation=f.orientation,n.direction=f.direction,n.index=e,et.push({data:t,geometryConfig:n})});var rt=n.nest().key(function(t,e){return\"undefined\"!=typeof t.data.groupId||\"unstacked\"}).entries(et),nt=[];rt.forEach(function(t,e){\"unstacked\"===t.key?nt=nt.concat(t.values.map(function(t,e){return[t]})):nt.push(t.values)}),nt.forEach(function(t,e){var 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ft=ot.select(\"circle\").style({stroke:\"grey\",fill:\"none\"});R.on(\"mousemove.radial-guide\",function(t,e){var n=o.util.getMousePos(Y).radius;ft.attr({r:n}).style({opacity:.5}),it=r.invert(o.util.getMousePos(Y).radius);var a=o.util.convertToCartesian(n,f.radialAxis.orientation);ct.text(o.util.round(it)).move([a[0]+_[0],a[1]+_[1]])}).on(\"mouseout.radial-guide\",function(t,e){ft.style({opacity:0}),ut.hide(),lt.hide(),ct.hide()}),t.selectAll(\".geometry-group .mark\").on(\"mouseover.tooltip\",function(e,r){var a=n.select(this),i=this.style.fill,s=\"black\",l=this.style.opacity||1;if(a.attr({\"data-opacity\":l}),i&&\"none\"!==i){a.attr({\"data-fill\":i}),s=n.hsl(i).darker().toString(),a.style({fill:s,opacity:1});var c={t:o.util.round(e[0]),r:o.util.round(e[1])};T&&(c.t=w[e[0]]);var u=\"t: \"+c.t+\", r: \"+c.r,h=this.getBoundingClientRect(),f=t.node().getBoundingClientRect(),p=[h.left+h.width/2-V[0]-f.left,h.top+h.height/2-V[1]-f.top];ut.config({color:s}).text(u),ut.move(p)}else 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n=e*Math.PI/180;return[e,t(n)]})},o.util.dataFromEquation=function(t,e,r){var a=e||6,i=[],o=[];n.range(0,360+a,a).forEach(function(e,r){var n=e*Math.PI/180,a=t(n);i.push(e),o.push(a)});var s={t:i,r:o};return r&&(s.name=r),s},o.util.ensureArray=function(t,e){if(\"undefined\"==typeof t)return null;var r=[].concat(t);return n.range(e).map(function(t,e){return r[e]||r[0]})},o.util.fillArrays=function(t,e,r){return e.forEach(function(e,n){t[e]=o.util.ensureArray(t[e],r)}),t},o.util.cloneJson=function(t){return JSON.parse(JSON.stringify(t))},o.util.validateKeys=function(t,e){\"string\"==typeof e&&(e=e.split(\".\"));var r=e.shift();return t[r]&&(!e.length||objHasKeys(t[r],e))},o.util.sumArrays=function(t,e){return n.zip(t,e).map(function(t,e){return n.sum(t)})},o.util.arrayLast=function(t){return t[t.length-1]},o.util.arrayEqual=function(t,e){for(var r=Math.max(t.length,e.length,1);r-- >=0&&t[r]===e[r];);return-2===r},o.util.flattenArray=function(t){for(var e=[];!o.util.arrayEqual(e,t);)e=t,t=[].concat.apply([],t);return t},o.util.deduplicate=function(t){return t.filter(function(t,e,r){return r.indexOf(t)==e})},o.util.convertToCartesian=function(t,e){var r=e*Math.PI/180;return[t*Math.cos(r),t*Math.sin(r)]},o.util.round=function(t,e){var r=e||2,n=Math.pow(10,r);return Math.round(t*n)/n},o.util.getMousePos=function(t){var e=n.mouse(t.node()),r=e[0],a=e[1],i={};return i.x=r,i.y=a,i.pos=e,i.angle=180*(Math.atan2(a,r)+Math.PI)/Math.PI,i.radius=Math.sqrt(r*r+a*a),i},o.util.duplicatesCount=function(t){for(var e,r={},n={},a=0,i=t.length;a<i;a++)(e=t[a])in r?(r[e]++,n[e]=r[e]):r[e]=1;return n},o.util.duplicates=function(t){return Object.keys(o.util.duplicatesCount(t))},o.util.translator=function(t,e,r,n){if(n){var a=r.slice();r=e,e=a}var i=e.reduce(function(t,e){if(\"undefined\"!=typeof t)return t[e]},t);\"undefined\"!=typeof i&&(e.reduce(function(t,r,n){if(\"undefined\"!=typeof t)return n===e.length-1&&delete 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d.stroke(r,a,i)},\"stroke-width\":function(t,e){return d[\"stroke-width\"](r,a,i)},\"stroke-dasharray\":function(t,e){return d[\"stroke-dasharray\"](r,a,i)},opacity:function(t,e){return d.opacity(r,a,i)},display:function(t,e){return d.display(r,a,i)}})}};var h=e.angularScale.range(),f=Math.abs(h[1]-h[0])/o[0].length*Math.PI/180,p=n.svg.arc().startAngle(function(t){return-f/2}).endAngle(function(t){return f/2}).innerRadius(function(t){return e.radialScale(l+(t[2]||0))}).outerRadius(function(t){return e.radialScale(l+(t[2]||0))+e.radialScale(t[1])});c.arc=function(t,r,a){n.select(this).attr({class:\"mark arc\",d:p,transform:function(t,r){return\"rotate(\"+(e.orientation+s(t[0])+90)+\")\"}})};var d={fill:function(e,r,n){return t[n].data.color},stroke:function(e,r,n){return t[n].data.strokeColor},\"stroke-width\":function(e,r,n){return t[n].data.strokeSize+\"px\"},\"stroke-dasharray\":function(e,n,a){return r[t[a].data.strokeDash]},opacity:function(e,r,n){return t[n].data.opacity},display:function(e,r,n){return\"undefined\"==typeof t[n].data.visible||t[n].data.visible?\"block\":\"none\"}},g=n.select(this).selectAll(\"g.layer\").data(o);g.enter().append(\"g\").attr({class:\"layer\"});var v=g.selectAll(\"path.mark\").data(function(t,e){return t});v.enter().append(\"path\").attr({class:\"mark\"}),v.style(d).each(c[e.geometryType]),v.exit().remove(),g.exit().remove()})}return i.config=function(e){return arguments.length?(e.forEach(function(e,r){t[r]||(t[r]={}),a(t[r],o.PolyChart.defaultConfig()),a(t[r],e)}),this):t},i.getColorScale=function(){},n.rebind(i,e,\"on\"),i},o.PolyChart.defaultConfig=function(){return{data:{name:\"geom1\",t:[[1,2,3,4]],r:[[1,2,3,4]],dotType:\"circle\",dotSize:64,dotVisible:!1,barWidth:20,color:\"#ffa500\",strokeSize:1,strokeColor:\"silver\",strokeDash:\"solid\",opacity:1,index:0,visible:!0,visibleInLegend:!0},geometryConfig:{geometry:\"LinePlot\",geometryType:\"arc\",direction:\"clockwise\",orientation:0,container:\"body\",radialScale:null,angularScale:null,colorScale:n.scale.category20()}}},o.BarChart=function(){return o.PolyChart()},o.BarChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"bar\"}}},o.AreaChart=function(){return o.PolyChart()},o.AreaChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"arc\"}}},o.DotPlot=function(){return o.PolyChart()},o.DotPlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"dot\",dotType:\"circle\"}}},o.LinePlot=function(){return o.PolyChart()},o.LinePlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"line\"}}},o.Legend=function(){var t=o.Legend.defaultConfig(),e=n.dispatch(\"hover\");function r(){var e=t.legendConfig,i=t.data.map(function(t,r){return[].concat(t).map(function(t,n){var i=a({},e.elements[r]);return i.name=t,i.color=[].concat(e.elements[r].color)[n],i})}),o=n.merge(i);o=o.filter(function(t,r){return e.elements[r]&&(e.elements[r].visibleInLegend||\"undefined\"==typeof e.elements[r].visibleInLegend)}),e.reverseOrder&&(o=o.reverse());var s=e.container;(\"string\"==typeof s||s.nodeName)&&(s=n.select(s));var l=o.map(function(t,e){return t.color}),c=e.fontSize,u=null==e.isContinuous?\"number\"==typeof o[0]:e.isContinuous,h=u?e.height:c*o.length,f=s.classed(\"legend-group\",!0).selectAll(\"svg\").data([0]),p=f.enter().append(\"svg\").attr({width:300,height:h+c,xmlns:\"http://www.w3.org/2000/svg\",\"xmlns:xlink\":\"http://www.w3.org/1999/xlink\",version:\"1.1\"});p.append(\"g\").classed(\"legend-axis\",!0),p.append(\"g\").classed(\"legend-marks\",!0);var d=n.range(o.length),g=n.scale[u?\"linear\":\"ordinal\"]().domain(d).range(l),v=n.scale[u?\"linear\":\"ordinal\"]().domain(d)[u?\"range\":\"rangePoints\"]([0,h]);if(u){var m=f.select(\".legend-marks\").append(\"defs\").append(\"linearGradient\").attr({id:\"grad1\",x1:\"0%\",y1:\"0%\",x2:\"0%\",y2:\"100%\"}).selectAll(\"stop\").data(l);m.enter().append(\"stop\"),m.attr({offset:function(t,e){return e/(l.length-1)*100+\"%\"}}).style({\"stop-color\":function(t,e){return t}}),f.append(\"rect\").classed(\"legend-mark\",!0).attr({height:e.height,width:e.colorBandWidth,fill:\"url(#grad1)\"})}else{var y=f.select(\".legend-marks\").selectAll(\"path.legend-mark\").data(o);y.enter().append(\"path\").classed(\"legend-mark\",!0),y.attr({transform:function(t,e){return\"translate(\"+[c/2,v(e)+c/2]+\")\"},d:function(t,e){var r,a,i,o=t.symbol;return i=3*(a=c),\"line\"===(r=o)?\"M\"+[[-a/2,-a/12],[a/2,-a/12],[a/2,a/12],[-a/2,a/12]]+\"Z\":-1!=n.svg.symbolTypes.indexOf(r)?n.svg.symbol().type(r).size(i)():n.svg.symbol().type(\"square\").size(i)()},fill:function(t,e){return g(e)}}),y.exit().remove()}var x=n.svg.axis().scale(v).orient(\"right\"),b=f.select(\"g.legend-axis\").attr({transform:\"translate(\"+[u?e.colorBandWidth:c,c/2]+\")\"}).call(x);return b.selectAll(\".domain\").style({fill:\"none\",stroke:\"none\"}),b.selectAll(\"line\").style({fill:\"none\",stroke:u?e.textColor:\"none\"}),b.selectAll(\"text\").style({fill:e.textColor,\"font-size\":e.fontSize}).text(function(t,e){return o[e].name}),r}return r.config=function(e){return arguments.length?(a(t,e),this):t},n.rebind(r,e,\"on\"),r},o.Legend.defaultConfig=function(t,e){return{data:[\"a\",\"b\",\"c\"],legendConfig:{elements:[{symbol:\"line\",color:\"red\"},{symbol:\"square\",color:\"yellow\"},{symbol:\"diamond\",color:\"limegreen\"}],height:150,colorBandWidth:30,fontSize:12,container:\"body\",isContinuous:null,textColor:\"grey\",reverseOrder:!1}}},o.tooltipPanel=function(){var t,e,r,i={container:null,hasTick:!1,fontSize:12,color:\"white\",padding:5},s=\"tooltip-\"+o.tooltipPanel.uid++,l=10,c=function(){var n=(t=i.container.selectAll(\"g.\"+s).data([0])).enter().append(\"g\").classed(s,!0).style({\"pointer-events\":\"none\",display:\"none\"});return r=n.append(\"path\").style({fill:\"white\",\"fill-opacity\":.9}).attr({d:\"M0 0\"}),e=n.append(\"text\").attr({dx:i.padding+l,dy:.3*+i.fontSize}),c};return c.text=function(a){var o=n.hsl(i.color).l,s=o>=.5?\"#aaa\":\"white\",u=o>=.5?\"black\":\"white\",h=a||\"\";e.style({fill:u,\"font-size\":i.fontSize+\"px\"}).text(h);var f=i.padding,p=e.node().getBBox(),d={fill:i.color,stroke:s,\"stroke-width\":\"2px\"},g=p.width+2*f+l,v=p.height+2*f;return r.attr({d:\"M\"+[[l,-v/2],[l,-v/4],[i.hasTick?0:l,0],[l,v/4],[l,v/2],[g,v/2],[g,-v/2]].join(\"L\")+\"Z\"}).style(d),t.attr({transform:\"translate(\"+[l,-v/2+2*f]+\")\"}),t.style({display:\"block\"}),c},c.move=function(e){if(t)return t.attr({transform:\"translate(\"+[e[0],e[1]]+\")\"}).style({display:\"block\"}),c},c.hide=function(){if(t)return t.style({display:\"none\"}),c},c.show=function(){if(t)return t.style({display:\"block\"}),c},c.config=function(t){return a(i,t),c},c},o.tooltipPanel.uid=1,o.adapter={},o.adapter.plotly=function(){var t={convert:function(t,e){var r={};if(t.data&&(r.data=t.data.map(function(t,r){var n=a({},t);return[[n,[\"marker\",\"color\"],[\"color\"]],[n,[\"marker\",\"opacity\"],[\"opacity\"]],[n,[\"marker\",\"line\",\"color\"],[\"strokeColor\"]],[n,[\"marker\",\"line\",\"dash\"],[\"strokeDash\"]],[n,[\"marker\",\"line\",\"width\"],[\"strokeSize\"]],[n,[\"marker\",\"symbol\"],[\"dotType\"]],[n,[\"marker\",\"size\"],[\"dotSize\"]],[n,[\"marker\",\"barWidth\"],[\"barWidth\"]],[n,[\"line\",\"interpolation\"],[\"lineInterpolation\"]],[n,[\"showlegend\"],[\"visibleInLegend\"]]].forEach(function(t,r){o.util.translator.apply(null,t.concat(e))}),e||delete n.marker,e&&delete n.groupId,e?(\"LinePlot\"===n.geometry?(n.type=\"scatter\",!0===n.dotVisible?(delete n.dotVisible,n.mode=\"lines+markers\"):n.mode=\"lines\"):\"DotPlot\"===n.geometry?(n.type=\"scatter\",n.mode=\"markers\"):\"AreaChart\"===n.geometry?n.type=\"area\":\"BarChart\"===n.geometry&&(n.type=\"bar\"),delete n.geometry):(\"scatter\"===n.type?\"lines\"===n.mode?n.geometry=\"LinePlot\":\"markers\"===n.mode?n.geometry=\"DotPlot\":\"lines+markers\"===n.mode&&(n.geometry=\"LinePlot\",n.dotVisible=!0):\"area\"===n.type?n.geometry=\"AreaChart\":\"bar\"===n.type&&(n.geometry=\"BarChart\"),delete n.mode,delete n.type),n}),!e&&t.layout&&\"stack\"===t.layout.barmode)){var i=o.util.duplicates(r.data.map(function(t,e){return t.geometry}));r.data.forEach(function(t,e){var n=i.indexOf(t.geometry);-1!=n&&(r.data[e].groupId=n)})}if(t.layout){var s=a({},t.layout);if([[s,[\"plot_bgcolor\"],[\"backgroundColor\"]],[s,[\"showlegend\"],[\"showLegend\"]],[s,[\"radialaxis\"],[\"radialAxis\"]],[s,[\"angularaxis\"],[\"angularAxis\"]],[s.angularaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularaxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularaxis,[\"nticks\"],[\"ticksCount\"]],[s.angularaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularaxis,[\"range\"],[\"domain\"]],[s.angularaxis,[\"endpadding\"],[\"endPadding\"]],[s.radialaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialaxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularAxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularAxis,[\"nticks\"],[\"ticksCount\"]],[s.angularAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularAxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"endpadding\"],[\"endPadding\"]],[s.radialAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialAxis,[\"range\"],[\"domain\"]],[s.font,[\"outlinecolor\"],[\"outlineColor\"]],[s.legend,[\"traceorder\"],[\"reverseOrder\"]],[s,[\"labeloffset\"],[\"labelOffset\"]],[s,[\"defaultcolorrange\"],[\"defaultColorRange\"]]].forEach(function(t,r){o.util.translator.apply(null,t.concat(e))}),e?(\"undefined\"!=typeof s.tickLength&&(s.angularaxis.ticklen=s.tickLength,delete s.tickLength),s.tickColor&&(s.angularaxis.tickcolor=s.tickColor,delete s.tickColor)):(s.angularAxis&&\"undefined\"!=typeof s.angularAxis.ticklen&&(s.tickLength=s.angularAxis.ticklen),s.angularAxis&&\"undefined\"!=typeof s.angularAxis.tickcolor&&(s.tickColor=s.angularAxis.tickcolor)),s.legend&&\"boolean\"!=typeof s.legend.reverseOrder&&(s.legend.reverseOrder=\"normal\"!=s.legend.reverseOrder),s.legend&&\"boolean\"==typeof s.legend.traceorder&&(s.legend.traceorder=s.legend.traceorder?\"reversed\":\"normal\",delete s.legend.reverseOrder),s.margin&&\"undefined\"!=typeof s.margin.t){var l=[\"t\",\"r\",\"b\",\"l\",\"pad\"],c=[\"top\",\"right\",\"bottom\",\"left\",\"pad\"],u={};n.entries(s.margin).forEach(function(t,e){u[c[l.indexOf(t.key)]]=t.value}),s.margin=u}e&&(delete s.needsEndSpacing,delete s.minorTickColor,delete s.minorTicks,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksStep,delete s.angularaxis.rewriteTicks,delete s.angularaxis.nticks,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksStep,delete s.radialaxis.rewriteTicks,delete s.radialaxis.nticks),r.layout=s}return r}};return t}},{\"../../../constants/alignment\":686,\"../../../lib\":717,d3:165}],836:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../../lib\"),i=t(\"../../../components/color\"),o=t(\"./micropolar\"),s=t(\"./undo_manager\"),l=a.extendDeepAll,c=e.exports={};c.framework=function(t){var e,r,a,i,u,h=new s;function f(r,s){return s&&(u=s),n.select(n.select(u).node().parentNode).selectAll(\".svg-container>*:not(.chart-root)\").remove(),e=e?l(e,r):r,a||(a=o.Axis()),i=o.adapter.plotly().convert(e),a.config(i).render(u),t.data=e.data,t.layout=e.layout,c.fillLayout(t),e}return f.isPolar=!0,f.svg=function(){return a.svg()},f.getConfig=function(){return e},f.getLiveConfig=function(){return o.adapter.plotly().convert(a.getLiveConfig(),!0)},f.getLiveScales=function(){return{t:a.angularScale(),r:a.radialScale()}},f.setUndoPoint=function(){var t,n,a=this,i=o.util.cloneJson(e);t=i,n=r,h.add({undo:function(){n&&a(n)},redo:function(){a(t)}}),r=o.util.cloneJson(i)},f.undo=function(){h.undo()},f.redo=function(){h.redo()},f},c.fillLayout=function(t){var e=n.select(t).selectAll(\".plot-container\"),r=e.selectAll(\".svg-container\"),a=t.framework&&t.framework.svg&&t.framework.svg(),o={width:800,height:600,paper_bgcolor:i.background,_container:e,_paperdiv:r,_paper:a};t._fullLayout=l(o,t.layout)}},{\"../../../components/color\":591,\"../../../lib\":717,\"./micropolar\":835,\"./undo_manager\":837,d3:165}],837:[function(t,e,r){\"use strict\";e.exports=function(){var t,e=[],r=-1,n=!1;function a(t,e){return t?(n=!0,t[e](),n=!1,this):this}return{add:function(t){return n?this:(e.splice(r+1,e.length-r),e.push(t),r=e.length-1,this)},setCallback:function(e){t=e},undo:function(){var n=e[r];return n?(a(n,\"undo\"),r-=1,t&&t(n.undo),this):this},redo:function(){var n=e[r+1];return n?(a(n,\"redo\"),r+=1,t&&t(n.redo),this):this},clear:function(){e=[],r=-1},hasUndo:function(){return-1!==r},hasRedo:function(){return r<e.length-1},getCommands:function(){return e},getPreviousCommand:function(){return e[r-1]},getIndex:function(){return r}}}},{}],838:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=t(\"../../components/color\"),l=t(\"../../components/drawing\"),c=t(\"../plots\"),u=t(\"../../plots/cartesian/axes\"),h=t(\"../cartesian/set_convert\"),f=t(\"./set_convert\"),p=t(\"../cartesian/autorange\").doAutoRange,d=t(\"../cartesian/dragbox\"),g=t(\"../../components/dragelement\"),v=t(\"../../components/fx\"),m=t(\"../../components/titles\"),y=t(\"../cartesian/select\").prepSelect,x=t(\"../cartesian/select\").selectOnClick,b=t(\"../cartesian/select\").clearSelect,_=t(\"../../lib/setcursor\"),w=t(\"../../lib/clear_gl_canvases\"),k=t(\"../../plot_api/subroutines\").redrawReglTraces,T=t(\"../../constants/alignment\").MID_SHIFT,M=t(\"./constants\"),A=t(\"./helpers\"),S=o._,E=o.mod,L=o.deg2rad,C=o.rad2deg;function P(t,e){this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var r=t._fullLayout,n=\"clip\"+r._uid+e;this.clipIds.forTraces=n+\"-for-traces\",this.clipPaths.forTraces=r._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=r._polarlayer.append(\"g\").attr(\"class\",e),this.radialTickLayout=null,this.angularTickLayout=null}var O=P.prototype;function z(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function I(t,e){return e[o.findIndexOfMin(e,function(e){return o.angleDist(t,e)})]}function D(t,e,r){return e?(t.attr(\"display\",null),t.attr(r)):t&&t.attr(\"display\",\"none\"),t}function R(t,e){return\"translate(\"+t+\",\"+e+\")\"}function F(t){return\"rotate(\"+t+\")\"}e.exports=function(t,e){return new P(t,e)},O.plot=function(t,e){var r=e[this.id];this._hasClipOnAxisFalse=!1;for(var n=0;n<t.length;n++){if(!1===t[n][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(e,r),this.updateLayout(e,r),c.generalUpdatePerTraceModule(this.gd,this,t,r),this.updateFx(e,r)},O.updateLayers=function(t,e){var r=this.layers,a=e.radialaxis,i=e.angularaxis,o=M.layerNames,s=o.indexOf(\"frontplot\"),l=o.slice(0,s),c=\"below traces\"===i.layer,u=\"below traces\"===a.layer;c&&l.push(\"angular-line\"),u&&l.push(\"radial-line\"),c&&l.push(\"angular-axis\"),u&&l.push(\"radial-axis\"),l.push(\"frontplot\"),c||l.push(\"angular-line\"),u||l.push(\"radial-line\"),c||l.push(\"angular-axis\"),u||l.push(\"radial-axis\");var h=this.framework.selectAll(\".polarsublayer\").data(l,String);h.enter().append(\"g\").attr(\"class\",function(t){return\"polarsublayer \"+t}).each(function(t){var e=r[t]=n.select(this);switch(t){case\"frontplot\":e.append(\"g\").classed(\"barlayer\",!0),e.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":e.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":r.bg=e.append(\"path\");break;case\"radial-grid\":case\"angular-grid\":e.style(\"fill\",\"none\");break;case\"radial-line\":e.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":e.append(\"path\").style(\"fill\",\"none\")}}),h.order()},O.updateLayout=function(t,e){var r=this.layers,n=t._size,a=e.radialaxis,i=e.angularaxis,o=e.domain.x,c=e.domain.y;this.xOffset=n.l+n.w*o[0],this.yOffset=n.t+n.h*(1-c[1]);var u=this.xLength=n.w*(o[1]-o[0]),h=this.yLength=n.h*(c[1]-c[0]),f=e.sector;this.sectorInRad=f.map(L);var p,d,g,v,m,y=this.sectorBBox=function(t){var e,r,n,a,i=t[0],o=t[1]-i,s=E(i,360),l=s+o,c=Math.cos(L(s)),u=Math.sin(L(s)),h=Math.cos(L(l)),f=Math.sin(L(l));a=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&f<=0?0:Math.max(u,f);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&h>=0?0:Math.min(c,h);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&f>=0?0:Math.min(u,f);n=l>=360?1:c<=0&&h<=0?0:Math.max(c,h);return[e,r,n,a]}(f),x=y[2]-y[0],b=y[3]-y[1],_=h/u,w=Math.abs(b/x);_>w?(p=u,m=(h-(d=u*w))/n.h/2,g=[o[0],o[1]],v=[c[0]+m,c[1]-m]):(d=h,m=(u-(p=h/w))/n.w/2,g=[o[0]+m,o[1]-m],v=[c[0],c[1]]),this.xLength2=p,this.yLength2=d,this.xDomain2=g,this.yDomain2=v;var k=this.xOffset2=n.l+n.w*g[0],T=this.yOffset2=n.t+n.h*(1-v[1]),M=this.radius=p/x,A=this.innerRadius=e.hole*M,S=this.cx=k-M*y[0],C=this.cy=T+M*y[3],P=this.cxx=S-k,O=this.cyy=C-T;this.radialAxis=this.mockAxis(t,e,a,{_id:\"x\",side:{counterclockwise:\"top\",clockwise:\"bottom\"}[a.side],domain:[A/n.w,M/n.w]}),this.angularAxis=this.mockAxis(t,e,i,{side:\"right\",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:\"x\",domain:g}),this.yaxis=this.mockCartesianAxis(t,e,{_id:\"y\",domain:v});var z=this.pathSubplot();this.clipPaths.forTraces.select(\"path\").attr(\"d\",z).attr(\"transform\",R(P,O)),r.frontplot.attr(\"transform\",R(k,T)).call(l.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr(\"d\",z).attr(\"transform\",R(S,C)).call(s.fill,e.bgcolor)},O.mockAxis=function(t,e,r,n){var a=o.extendFlat({},r,n);return f(a,e,t),a},O.mockCartesianAxis=function(t,e,r){var n=this,a=r._id,i=o.extendFlat({type:\"linear\"},r);h(i,t);var s={x:[0,2],y:[1,3]};return i.setRange=function(){var t=n.sectorBBox,r=s[a],o=n.radialAxis._rl,l=(o[1]-o[0])/(1-e.hole);i.range=[t[r[0]]*l,t[r[1]]*l]},i.isPtWithinRange=\"x\"===a?function(t){return n.isPtInside(t)}:function(){return!0},i.setRange(),i.setScale(),i},O.doAutoRange=function(t,e){var r=this.gd,n=this.radialAxis,a=e.radialaxis;n.setScale(),p(r,n);var i=n.range;a.range=i.slice(),a._input.range=i.slice(),n._rl=[n.r2l(i[0],null,\"gregorian\"),n.r2l(i[1],null,\"gregorian\")]},O.updateRadialAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.radialaxis,p=E(e.sector[0],360),d=r.radialAxis,g=l<i;r.fillViewInitialKey(\"radialaxis.angle\",f.angle),r.fillViewInitialKey(\"radialaxis.range\",d.range.slice()),d.setGeometry(),\"auto\"===d.tickangle&&p>90&&p<=270&&(d.tickangle=180);var v=function(t){return\"translate(\"+(d.l2p(t.x)+l)+\",0)\"},m=z(f);if(r.radialTickLayout!==m&&(a[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=m),g){d.setScale();var y=u.calcTicks(d),x=u.clipEnds(d,y),b=u.getTickSigns(d)[2];u.drawTicks(n,d,{vals:y,layer:a[\"radial-axis\"],path:u.makeTickPath(d,0,b),transFn:v,crisp:!1}),u.drawGrid(n,d,{vals:x,layer:a[\"radial-grid\"],path:function(t){return r.pathArc(d.r2p(t.x)+l)},transFn:o.noop,crisp:!1}),u.drawLabels(n,d,{vals:y,layer:a[\"radial-axis\"],transFn:v,labelFns:u.makeLabelFns(d,0)})}var _=r.radialAxisAngle=r.vangles?C(I(L(f.angle),r.vangles)):f.angle,w=R(c,h),k=w+F(-_);D(a[\"radial-axis\"],g&&(f.showticklabels||f.ticks),{transform:k}),D(a[\"radial-grid\"],g&&f.showgrid,{transform:w}),D(a[\"radial-line\"].select(\"line\"),g&&f.showline,{x1:l,y1:0,x2:i,y2:0,transform:k}).attr(\"stroke-width\",f.linewidth).call(s.stroke,f.linecolor)},O.updateRadialAxisTitle=function(t,e,r){var n=this.gd,a=this.radius,i=this.cx,o=this.cy,s=e.radialaxis,c=this.id+\"title\",u=void 0!==r?r:this.radialAxisAngle,h=L(u),f=Math.cos(h),p=Math.sin(h),d=0;if(s.title){var g=l.bBox(this.layers[\"radial-axis\"].node()).height,v=s.title.font.size;d=\"counterclockwise\"===s.side?-g-.4*v:g+.8*v}this.layers[\"radial-axis-title\"]=m.draw(n,c,{propContainer:s,propName:this.id+\".radialaxis.title\",placeholder:S(n,\"Click to enter radial axis title\"),attributes:{x:i+a/2*f+d*p,y:o-a/2*p+d*f,\"text-anchor\":\"middle\"},transform:{rotate:-u}})},O.updateAngularAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.angularaxis,p=r.angularAxis;r.fillViewInitialKey(\"angularaxis.rotation\",f.rotation),p.setGeometry(),p.setScale();var d=function(t){return p.t2g(t.x)};\"linear\"===p.type&&\"radians\"===p.thetaunit&&(p.tick0=C(p.tick0),p.dtick=C(p.dtick));var g=function(t){return 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strict\";var n=t(\"../../components/color\"),a=t(\"../../plot_api/plot_template\"),i=t(\"../../lib\"),o=t(\"../subplot_defaults\"),s=t(\"../cartesian/tick_label_defaults\"),l=t(\"../cartesian/tick_mark_defaults\"),c=t(\"../cartesian/tick_value_defaults\"),u=t(\"../cartesian/line_grid_defaults\"),h=t(\"./layout_attributes\"),f=[\"aaxis\",\"baxis\",\"caxis\"];function p(t,e,r,i){var o,s,l,c=r(\"bgcolor\"),u=r(\"sum\");i.bgColor=n.combine(c,i.paper_bgcolor);for(var h=0;h<f.length;h++)s=t[o=f[h]]||{},(l=a.newContainer(e,o))._name=o,d(s,l,i,e);var p=e.aaxis,g=e.baxis,v=e.caxis;p.min+g.min+v.min>=u&&(p.min=0,g.min=0,v.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function d(t,e,r,n){var a=h[e._name];function o(r,n){return i.coerce(t,e,a,r,n)}o(\"uirevision\",n.uirevision),e.type=\"linear\";var f=o(\"color\"),p=f!==a.color.dflt?f:r.font.color,d=e._name.charAt(0).toUpperCase(),g=\"Component 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n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=o._,l=t(\"../../components/color\"),c=t(\"../../components/drawing\"),u=t(\"../cartesian/set_convert\"),h=t(\"../../lib/extend\").extendFlat,f=t(\"../plots\"),p=t(\"../cartesian/axes\"),d=t(\"../../components/dragelement\"),g=t(\"../../components/fx\"),v=t(\"../../components/titles\"),m=t(\"../cartesian/select\").prepSelect,y=t(\"../cartesian/select\").selectOnClick,x=t(\"../cartesian/select\").clearSelect,b=t(\"../cartesian/constants\");function _(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=_;var w=_.prototype;w.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},w.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var a=0;a<t.length;a++){if(!1===t[a][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(r),this.adjustLayout(r,n),f.generalUpdatePerTraceModule(this.graphDiv,this,t,r),this.layers.plotbg.select(\"path\").call(l.fill,r.bgcolor)},w.makeFramework=function(t){var e=this.graphDiv,r=t[this.id],n=this.clipId=\"clip\"+this.layoutId+this.id,a=this.clipIdRelative=\"clip-relative\"+this.layoutId+this.id;this.clipDef=o.ensureSingleById(t._clips,\"clipPath\",n,function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")}),this.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",a,function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")}),this.plotContainer=o.ensureSingle(this.container,\"g\",this.id),this.updateLayers(r),c.setClipUrl(this.layers.backplot,n,e),c.setClipUrl(this.layers.grids,n,e)},w.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"below 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r,n,a,i,o,s,f=this,p=t.domain,d=(p.x[0]+p.x[1])/2,g=(p.y[0]+p.y[1])/2,v=p.x[1]-p.x[0],m=p.y[1]-p.y[0],y=v*e.w,x=m*e.h,b=t.sum,_=t.aaxis.min,w=t.baxis.min,T=t.caxis.min;y>k*x?a=(i=x)*k:i=(a=y)/k,o=v*a/y,s=m*i/x,r=e.l+e.w*d-a/2,n=e.t+e.h*(1-g)-i/2,f.x0=r,f.y0=n,f.w=a,f.h=i,f.sum=b,f.xaxis={type:\"linear\",range:[_+2*T-b,b-_-2*w],domain:[d-o/2,d+o/2],_id:\"x\"},u(f.xaxis,f.graphDiv._fullLayout),f.xaxis.setScale(),f.xaxis.isPtWithinRange=function(t){return t.a>=f.aaxis.range[0]&&t.a<=f.aaxis.range[1]&&t.b>=f.baxis.range[1]&&t.b<=f.baxis.range[0]&&t.c>=f.caxis.range[1]&&t.c<=f.caxis.range[0]},f.yaxis={type:\"linear\",range:[_,b-w-T],domain:[g-s/2,g+s/2],_id:\"y\"},u(f.yaxis,f.graphDiv._fullLayout),f.yaxis.setScale(),f.yaxis.isPtWithinRange=function(){return!0};var M=f.yaxis.domain[0],A=f.aaxis=h({},t.aaxis,{range:[_,b-w-T],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[M,M+s*k],anchor:\"free\",position:0,_id:\"y\",_length:a});u(A,f.graphDiv._fullLayout),A.setScale();var S=f.baxis=h({},t.baxis,{range:[b-_-T,w],side:\"bottom\",domain:f.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:a});u(S,f.graphDiv._fullLayout),S.setScale();var E=f.caxis=h({},t.caxis,{range:[b-_-w,T],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[M,M+s*k],anchor:\"free\",position:0,_id:\"y\",_length:a});u(E,f.graphDiv._fullLayout),E.setScale();var L=\"M\"+r+\",\"+(n+i)+\"h\"+a+\"l-\"+a/2+\",-\"+i+\"Z\";f.clipDef.select(\"path\").attr(\"d\",L),f.layers.plotbg.select(\"path\").attr(\"d\",L);var C=\"M0,\"+i+\"h\"+a+\"l-\"+a/2+\",-\"+i+\"Z\";f.clipDefRelative.select(\"path\").attr(\"d\",C);var P=\"translate(\"+r+\",\"+n+\")\";f.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",P),f.clipDefRelative.select(\"path\").attr(\"transform\",null);var O=\"translate(\"+(r-S._offset)+\",\"+(n+i)+\")\";f.layers.baxis.attr(\"transform\",O),f.layers.bgrid.attr(\"transform\",O);var 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I=\"translate(\"+(r+a/2)+\",\"+n+\")rotate(-30)translate(0,\"+-E._offset+\")\";f.layers.caxis.attr(\"transform\",I),f.layers.cgrid.attr(\"transform\",I),f.drawAxes(!0),f.layers.aline.select(\"path\").attr(\"d\",A.showline?\"M\"+r+\",\"+(n+i)+\"l\"+a/2+\",-\"+i:\"M0,0\").call(l.stroke,A.linecolor||\"#000\").style(\"stroke-width\",(A.linewidth||0)+\"px\"),f.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+i)+\"h\"+a:\"M0,0\").call(l.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),f.layers.cline.select(\"path\").attr(\"d\",E.showline?\"M\"+(r+a/2)+\",\"+n+\"l\"+a/2+\",\"+i:\"M0,0\").call(l.stroke,E.linecolor||\"#000\").style(\"stroke-width\",(E.linewidth||0)+\"px\"),f.graphDiv._context.staticPlot||f.initInteractions(),c.setClipUrl(f.layers.frontplot,f._hasClipOnAxisFalse?null:f.clipId,f.graphDiv)},w.drawAxes=function(t){var 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T=b.MINZOOM/2+.87,M=\"m-0.87,.5h\"+T+\"v3h-\"+(T+5.2)+\"l\"+(T/2+2.6)+\",-\"+(.87*T+4.5)+\"l2.6,1.5l-\"+T/2+\",\"+.87*T+\"Z\",A=\"m0.87,.5h-\"+T+\"v3h\"+(T+5.2)+\"l-\"+(T/2+2.6)+\",-\"+(.87*T+4.5)+\"l-2.6,1.5l\"+T/2+\",\"+.87*T+\"Z\",S=\"m0,1l\"+T/2+\",\"+.87*T+\"l2.6,-1.5l-\"+(T/2+2.6)+\",-\"+(.87*T+4.5)+\"l-\"+(T/2+2.6)+\",\"+(.87*T+4.5)+\"l2.6,1.5l\"+T/2+\",-\"+.87*T+\"Z\",E=\"m0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2Z\",L=!0;function C(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}w.initInteractions=function(){var t,e,r,n,u,h,f,p,v,_,w=this,T=w.layers.plotbg.select(\"path\").node(),P=w.graphDiv,O=P._fullLayout._zoomlayer,z={element:T,gd:P,plotinfo:{id:w.id,xaxis:w.xaxis,yaxis:w.yaxis},subplot:w.id,prepFn:function(i,o,s){z.xaxes=[w.xaxis],z.yaxes=[w.yaxis];var c=P._fullLayout.dragmode;z.minDrag=\"lasso\"===c?1:void 0,\"zoom\"===c?(z.moveFn=N,z.clickFn=D,z.doneFn=j,function(i,o,s){var c=T.getBoundingClientRect();t=o-c.left,e=s-c.top,r={a:w.aaxis.range[0],b:w.baxis.range[1],c:w.caxis.range[1]},u=r,n=w.aaxis.range[1]-r.a,h=a(w.graphDiv._fullLayout[w.id].bgcolor).getLuminance(),f=\"M0,\"+w.h+\"L\"+w.w/2+\", 0L\"+w.w+\",\"+w.h+\"Z\",p=!1,v=O.append(\"path\").attr(\"class\",\"zoombox\").attr(\"transform\",\"translate(\"+w.x0+\", \"+w.y0+\")\").style({fill:h>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"d\",f),_=O.append(\"path\").attr(\"class\",\"zoombox-corners\").attr(\"transform\",\"translate(\"+w.x0+\", \"+w.y0+\")\").style({fill:l.background,stroke:l.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"d\",\"M0,0Z\"),x(P)}(0,o,s)):\"pan\"===c?(z.moveFn=V,z.clickFn=D,z.doneFn=U,r={a:w.aaxis.range[0],b:w.baxis.range[1],c:w.caxis.range[1]},u=r,x(P)):\"select\"!==c&&\"lasso\"!==c||m(i,o,s,z,c)}};function I(t){var e={};return e[w.id+\".aaxis.min\"]=t.a,e[w.id+\".baxis.min\"]=t.b,e[w.id+\".caxis.min\"]=t.c,e}function D(t,e){var r=P._fullLayout.clickmode;C(P),2===t&&(P.emit(\"plotly_doubleclick\",null),i.call(\"_guiRelayout\",P,I({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&y(e,P,[w.xaxis],[w.yaxis],w.id,z),r.indexOf(\"event\")>-1&&g.click(P,e,w.id)}function R(t,e){return 1-e/w.h}function F(t,e){return 1-(t+(w.h-e)/Math.sqrt(3))/w.w}function B(t,e){return(t-(w.h-e)/Math.sqrt(3))/w.w}function N(a,i){var o=t+a,s=e+i,l=Math.max(0,Math.min(1,R(0,e),R(0,s))),c=Math.max(0,Math.min(1,F(t,e),F(o,s))),d=Math.max(0,Math.min(1,B(t,e),B(o,s))),g=(l/2+d)*w.w,m=(1-l/2-c)*w.w,y=(g+m)/2,x=m-g,T=(1-l)*w.h,L=T-x/k;x<b.MINZOOM?(u=r,v.attr(\"d\",f),_.attr(\"d\",\"M0,0Z\")):(u={a:r.a+l*n,b:r.b+c*n,c:r.c+d*n},v.attr(\"d\",f+\"M\"+g+\",\"+T+\"H\"+m+\"L\"+y+\",\"+L+\"L\"+g+\",\"+T+\"Z\"),_.attr(\"d\",\"M\"+t+\",\"+e+E+\"M\"+g+\",\"+T+M+\"M\"+m+\",\"+T+A+\"M\"+y+\",\"+L+S)),p||(v.transition().style(\"fill\",h>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),_.transition().style(\"opacity\",1).duration(200),p=!0),P.emit(\"plotly_relayouting\",I(u))}function j(){C(P),u!==r&&(i.call(\"_guiRelayout\",P,I(u)),L&&P.data&&P._context.showTips&&(o.notifier(s(P,\"Double-click to zoom back out\"),\"long\"),L=!1))}function V(t,e){var 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n=t(\"../choropleth/attributes\"),a=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat;e.exports=s({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:s({},n.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:n.text,hovertext:n.hovertext,marker:{line:{color:s({},n.marker.line.color,{editType:\"plot\"}),width:s({},n.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:s({},n.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:s({},n.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:s({},n.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:n.hoverinfo,hovertemplate:i({},{keys:[\"properties\"]}),showlegend:s({},o.showlegend,{dflt:!1})},a(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},{\"../../components/colorscale/attributes\":598,\"../../lib/extend\":708,\"../../plots/attributes\":762,\"../../plots/template_attributes\":841,\"../choropleth/attributes\":924}],934:[function(t,e,r){\"use 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l=s.cd,c=l[0].trace,u=\"h\"===c.orientation,h=l[s.index];s[(u?\"x\":\"y\")+\"LabelVal\"]=h.s,s.percentInitial=h.begR,s.percentInitialLabel=i(h.begR,1),s.percentPrevious=h.difR,s.percentPreviousLabel=i(h.difR,1),s.percentTotal=h.sumR,s.percentTotalLabel=i(h.sumR,1);var f=h.hi||c.hoverinfo,p=[];if(f&&\"none\"!==f&&\"skip\"!==f){var d=\"all\"===f,g=f.split(\"+\"),v=function(t){return d||-1!==g.indexOf(t)};v(\"percent initial\")&&p.push(s.percentInitialLabel+\" of initial\"),v(\"percent previous\")&&p.push(s.percentPreviousLabel+\" of previous\"),v(\"percent total\")&&p.push(s.percentTotalLabel+\" of total\")}return s.extraText=p.join(\"<br>\"),s.color=function(t,e){var r=t.marker,a=e.mc||r.color,i=e.mlc||r.line.color,o=e.mlw||r.line.width;if(n(a))return a;if(n(i)&&o)return i}(c,h),[s]}}},{\"../../components/color\":591,\"../../lib\":717,\"../bar/hover\":863}],986:[function(t,e,r){\"use 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h=c(r,l,u,p),f=h[0],d=h[1],v=\"\";f[0]!==o&&d[0]!==o&&f[1]!==o&&d[1]!==o&&f[2]!==o&&d[2]!==o&&f[3]!==o&&d[3]!==o&&(v+=p?\"M\"+f[0]+\",\"+d[1]+\"L\"+f[2]+\",\"+d[2]+\"H\"+f[3]+\"L\"+f[1]+\",\"+d[1]+\"Z\":\"M\"+f[1]+\",\"+d[1]+\"L\"+f[2]+\",\"+d[3]+\"V\"+d[2]+\"L\"+f[1]+\",\"+d[0]+\"Z\"),\"\"===v&&(v=\"M0,0Z\"),a.ensureSingle(n.select(this),\"path\").attr(\"d\",v).call(i.setClipUrl,e.layerClipId,t)}})}else f.remove()})}(t,e,r,u),function(t,e,r,o){var s=e.xaxis,l=e.yaxis;a.makeTraceGroups(o,r,\"trace bars\").each(function(r){var o=n.select(this),u=r[0].trace,h=a.ensureSingle(o,\"g\",\"lines\");if(u.connector&&u.connector.visible&&u.connector.line.width){var f=\"h\"===u.orientation,p=h.selectAll(\"g.line\").data(a.identity);p.enter().append(\"g\").classed(\"line\",!0),p.exit().remove();var d=p.size();p.each(function(r,o){if(o===d-1||r.cNext){var u=c(r,s,l,f),h=u[0],p=u[1],g=\"\";void 0!==h[3]&&void 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s=r||n.select(t).selectAll(\"g.funnellayer\").selectAll(\"g.trace\");l(t,s,\"funnel\"),s.style(\"opacity\",function(t){return t[0].trace.opacity}),s.each(function(e){var r=n.select(this),s=e[0].trace;r.selectAll(\".point > path\").each(function(t){if(!t.isBlank){var e=s.marker;n.select(this).call(i.fill,t.mc||e.color).call(i.stroke,t.mlc||e.line.color).call(a.dashLine,e.line.dash,t.mlw||e.line.width).style(\"opacity\",s.selectedpoints&&!t.selected?o:1)}}),c(r,s,t),r.selectAll(\".regions\").each(function(){n.select(this).selectAll(\"path\").style(\"stroke-width\",0).call(i.fill,s.connector.fillcolor)}),r.selectAll(\".lines\").each(function(){var t=s.connector.line;a.lineGroupStyle(n.select(this).selectAll(\"path\"),t.width,t.color,t.dash)})})}}},{\"../../components/color\":591,\"../../components/drawing\":612,\"../../constants/interactions\":692,\"../bar/style\":870,\"../bar/uniform_text\":872,d3:165}],991:[function(t,e,r){\"use strict\";var n=t(\"../pie/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/template_attributes\").texttemplateAttrs,l=t(\"../../lib/extend\").extendFlat;e.exports={labels:n.labels,label0:n.label0,dlabel:n.dlabel,values:n.values,marker:{colors:n.marker.colors,line:{color:l({},n.marker.line.color,{dflt:null}),width:l({},n.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},text:n.text,hovertext:n.hovertext,scalegroup:l({},n.scalegroup,{}),textinfo:l({},n.textinfo,{flags:[\"label\",\"text\",\"value\",\"percent\"]}),texttemplate:s({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),hoverinfo:l({},a.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:o({},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),textposition:l({},n.textposition,{values:[\"inside\",\"none\"],dflt:\"inside\"}),textfont:n.textfont,insidetextfont:n.insidetextfont,title:{text:n.title.text,font:n.title.font,position:l({},n.title.position,{values:[\"top 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n=t(\"../../lib\"),a=t(\"./attributes\"),i=t(\"../../plots/domain\").defaults,o=t(\"../bar/defaults\").handleText,s=t(\"../pie/defaults\").handleLabelsAndValues;e.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,a,r,i)}var u=c(\"labels\"),h=c(\"values\"),f=s(u,h),p=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),p){e._length=p,c(\"marker.line.width\")&&c(\"marker.line.color\",l.paper_bgcolor),c(\"marker.colors\"),c(\"scalegroup\");var d,g=c(\"text\"),v=c(\"texttemplate\");if(v||(d=c(\"textinfo\",Array.isArray(g)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),v||d&&\"none\"!==d){var m=c(\"textposition\");o(t,e,l,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1})}i(e,l,c),c(\"title.text\")&&(c(\"title.position\"),n.coerceFont(c,\"title.font\",l.font)),c(\"aspectratio\"),c(\"baseratio\")}else 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n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":1101}],997:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":717,\"./layout_attributes\":996}],998:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../components/drawing\"),i=t(\"../../lib\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"../bar/plot\").toMoveInsideBar,l=t(\"../bar/uniform_text\"),c=l.recordMinTextSize,u=l.clearMinTextSize,h=t(\"../pie/helpers\"),f=t(\"../pie/plot\"),p=f.attachFxHandlers,d=f.determineInsideTextFont,g=f.layoutAreas,v=f.prerenderTitles,m=f.positionTitleOutside,y=f.formatSliceLabel;function 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M=p[T+=1][0],A=p[T][1];f.TL=[-M,A],f.TR=[M,A],f.BL=w,f.BR=k,f.pxmid=(S=f.TR,E=f.BR,[.5*(S[0]+E[0]),.5*(S[1]+E[1])]),w=f.TL,k=f.TR}var S,E}(e),l.each(function(){var l=n.select(this).selectAll(\"g.slice\").data(e);l.enter().append(\"g\").classed(\"slice\",!0),l.exit().remove(),l.each(function(l,g){if(l.hidden)n.select(this).selectAll(\"path,g\").remove();else{l.pointNumber=l.i,l.curveNumber=f.index;var v=u.cx,m=u.cy,b=n.select(this),_=b.selectAll(\"path.surface\").data([l]);_.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),b.call(p,t,e);var w=\"M\"+(v+l.TR[0])+\",\"+(m+l.TR[1])+x(l.TR,l.BR)+x(l.BR,l.BL)+x(l.BL,l.TL)+\"Z\";_.attr(\"d\",w),y(t,l,u);var k=h.castOption(f.textposition,l.pts),T=b.selectAll(\"g.slicetext\").data(l.text&&\"none\"!==k?[0]:[]);T.enter().append(\"g\").classed(\"slicetext\",!0),T.exit().remove(),T.each(function(){var u=i.ensureSingle(n.select(this),\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),h=i.ensureUniformFontSize(t,d(f,l,r.font));u.text(l.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(a.font,h).call(o.convertToTspans,t);var p,y,x,b=a.bBox(u.node()),_=Math.min(l.BL[1],l.BR[1])+m,w=Math.max(l.TL[1],l.TR[1])+m;y=Math.max(l.TL[0],l.BL[0])+v,x=Math.min(l.TR[0],l.BR[0])+v,(p=s(y,x,_,w,b,{isHorizontal:!0,constrained:!0,angle:0,anchor:\"middle\"})).fontSize=h.size,c(f.type,p,r),e[g].transform=p,u.attr(\"transform\",i.getTextTransform(p))})}});var g=n.select(this).selectAll(\"g.titletext\").data(f.title.text?[0]:[]);g.enter().append(\"g\").classed(\"titletext\",!0),g.exit().remove(),g.each(function(){var e=i.ensureSingle(n.select(this),\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),s=f.title.text;f._meta&&(s=i.templateString(s,f._meta)),e.text(s).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(a.font,f.title.font).call(o.convertToTspans,t);var l=m(u,r._size);e.attr(\"transform\",\"translate(\"+l.x+\",\"+l.y+\")\"+(l.scale<1?\"scale(\"+l.scale+\")\":\"\")+\"translate(\"+l.tx+\",\"+l.ty+\")\")})})})}},{\"../../components/drawing\":612,\"../../lib\":717,\"../../lib/svg_text_utils\":741,\"../bar/plot\":867,\"../bar/uniform_text\":872,\"../pie/helpers\":1099,\"../pie/plot\":1103,d3:165}],999:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../pie/style_one\"),i=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._funnelarealayer.selectAll(\".trace\");i(t,e,\"funnelarea\"),e.each(function(t){var 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n=t(\"../scatter/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../components/colorscale/attributes\"),s=(t(\"../../constants/docs\").FORMAT_LINK,t(\"../../lib/extend\").extendFlat);e.exports=s({z:{valType:\"data_array\",editType:\"calc\"},x:s({},n.x,{impliedEdits:{xtype:\"array\"}}),x0:s({},n.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:s({},n.dx,{impliedEdits:{xtype:\"scaled\"}}),y:s({},n.y,{impliedEdits:{ytype:\"array\"}}),y0:s({},n.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:s({},n.dy,{impliedEdits:{ytype:\"scaled\"}}),text:{valType:\"data_array\",editType:\"calc\"},hovertext:{valType:\"data_array\",editType:\"calc\"},transpose:{valType:\"boolean\",dflt:!1,editType:\"calc\"},xtype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},ytype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},zsmooth:{valType:\"enumerated\",values:[\"fast\",\"best\",!1],dflt:!1,editType:\"calc\"},hoverongaps:{valType:\"boolean\",dflt:!0,editType:\"none\"},connectgaps:{valType:\"boolean\",editType:\"calc\"},xgap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},ygap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},zhoverformat:{valType:\"string\",dflt:\"\",editType:\"none\"},hovertemplate:i(),showlegend:s({},a.showlegend,{dflt:!1})},{transforms:void 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n=t(\"d3\"),a=t(\"../../lib\"),i=a.rad2deg,o=t(\"../../constants/alignment\").MID_SHIFT,s=t(\"../../components/drawing\"),l=t(\"./constants\"),c=t(\"../../lib/svg_text_utils\"),u=t(\"../../plots/cartesian/axes\"),h=t(\"../../plots/cartesian/axis_defaults\"),f=t(\"../../plots/cartesian/position_defaults\"),p=t(\"../../plots/cartesian/layout_attributes\"),d=t(\"../../components/color\"),g={left:\"start\",center:\"middle\",right:\"end\"},v={left:0,center:.5,right:1},m=/[yzafpn\\xb5mkMGTPEZY]/;function y(t){return t&&t.duration>0}function x(t){t.each(function(t){d.stroke(n.select(this),t.line.color)}).each(function(t){d.fill(n.select(this),t.color)}).style(\"stroke-width\",function(t){return t.line.width})}function b(t,e,r){var n=t._fullLayout,i=a.extendFlat({type:\"linear\",ticks:\"outside\",range:r,showline:!0},e),o={type:\"linear\",_id:\"x\"+e._id},s={letter:\"x\",font:n.font,noHover:!0,noTickson:!0};function l(t,e){return a.coerce(i,o,p,t,e)}return h(i,o,l,s,n),f(i,o,l,s),o}function _(t,e){return\"translate(\"+t+\",\"+e+\")\"}function w(t,e,r){return[Math.min(e/t.width,r/t.height),t,e+\"x\"+r]}function k(t,e,r,a){var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"text\"),o=n.select(i);return o.text(t).attr(\"x\",0).attr(\"y\",0).attr(\"text-anchor\",r).attr(\"data-unformatted\",t).call(c.convertToTspans,a).call(s.font,e),s.bBox(o.node())}function T(t,e,r,n,i,o){var s=\"_cache\"+e;t[s]&&t[s].key===i||(t[s]={key:i,value:r});var l=a.aggNums(o,null,[t[s].value,n],2);return t[s].value=l,l}e.exports=function(t,e,r,h){var f,p=t._fullLayout;y(r)&&h&&(f=h()),a.makeTraceGroups(p._indicatorlayer,e,\"trace\").each(function(e){var h,M,A,S,E,L=e[0].trace,C=n.select(this),P=L._hasGauge,O=L._isAngular,z=L._isBullet,I=L.domain,D={w:p._size.w*(I.x[1]-I.x[0]),h:p._size.h*(I.y[1]-I.y[0]),l:p._size.l+p._size.w*I.x[0],r:p._size.r+p._size.w*(1-I.x[1]),t:p._size.t+p._size.h*(1-I.y[1]),b:p._size.b+p._size.h*I.y[0]},R=D.l+D.w/2,F=D.t+D.h/2,B=Math.min(D.w/2,D.h),N=l.innerRadius*B,j=L.align||\"center\";if(M=F,P){if(O&&(h=R,M=F+B/2,A=function(t){return e=t,r=.9*N,n=Math.sqrt(e.width/2*(e.width/2)+e.height*e.height),[r/n,e,r];var e,r,n}),z){var V=l.bulletPadding,U=1-l.bulletNumberDomainSize+V;h=D.l+(U+(1-U)*v[j])*D.w,A=function(t){return w(t,(l.bulletNumberDomainSize-V)*D.w,D.h)}}}else h=D.l+v[j]*D.w,A=function(t){return w(t,D.w,D.h)};!function(t,e,r,i){var o,l,h,f=r[0].trace,p=i.numbersX,x=i.numbersY,w=f.align||\"center\",M=g[w],A=i.transitionOpts,S=i.onComplete,E=a.ensureSingle(e,\"g\",\"numbers\"),L=[];f._hasNumber&&L.push(\"number\");f._hasDelta&&(L.push(\"delta\"),\"left\"===f.delta.position&&L.reverse());var C=E.selectAll(\"text\").data(L);function P(e,r,n,a){if(!e.match(\"s\")||n>=0==a>=0||r(n).slice(-1).match(m)||r(a).slice(-1).match(m))return r;var i=e.slice().replace(\"s\",\"f\").replace(/\\d+/,function(t){return parseInt(t)-1}),o=b(t,{tickformat:i});return function(t){return Math.abs(t)<1?u.tickText(o,t).text:r(t)}}C.enter().append(\"text\"),C.attr(\"text-anchor\",function(){return M}).attr(\"class\",function(t){return t}).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),C.exit().remove();var O,z=f.mode+f.align;f._hasDelta&&(O=function(){var e=b(t,{tickformat:f.delta.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=function(t){var e=f.delta.relative?t.relativeDelta:t.delta;return e},o=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?f.delta.increasing.symbol:f.delta.decreasing.symbol)+e(t)},h=function(t){return t.delta>=0?f.delta.increasing.color:f.delta.decreasing.color};void 0===f._deltaLastValue&&(f._deltaLastValue=i(r[0]));var p=E.select(\"text.delta\");function g(){p.text(o(i(r[0]),a)).call(d.fill,h(r[0])).call(c.convertToTspans,t)}p.call(s.font,f.delta.font).call(d.fill,h({delta:f._deltaLastValue})),y(A)?p.transition().duration(A.duration).ease(A.easing).tween(\"text\",function(){var t=n.select(this),e=i(r[0]),s=f._deltaLastValue,l=P(f.delta.valueformat,a,s,e),c=n.interpolateNumber(s,e);return f._deltaLastValue=e,function(e){t.text(o(c(e),l)),t.call(d.fill,h({delta:c(e)}))}}).each(\"end\",function(){g(),S&&S()}).each(\"interrupt\",function(){g(),S&&S()}):g();return l=k(o(i(r[0]),a),f.delta.font,M,t),p}(),z+=f.delta.position+f.delta.font.size+f.delta.font.family+f.delta.valueformat,z+=f.delta.increasing.symbol+f.delta.decreasing.symbol,h=l);f._hasNumber&&(!function(){var e=b(t,{tickformat:f.number.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=f.number.suffix,l=f.number.prefix,h=E.select(\"text.number\");function p(){var e=\"number\"==typeof r[0].y?l+a(r[0].y)+i:\"-\";h.text(e).call(s.font,f.number.font).call(c.convertToTspans,t)}y(A)?h.transition().duration(A.duration).ease(A.easing).each(\"end\",function(){p(),S&&S()}).each(\"interrupt\",function(){p(),S&&S()}).attrTween(\"text\",function(){var t=n.select(this),e=n.interpolateNumber(r[0].lastY,r[0].y);f._lastValue=r[0].y;var o=P(f.number.valueformat,a,r[0].lastY,r[0].y);return function(r){t.text(l+o(e(r))+i)}}):p();o=k(l+a(r[0].y)+i,f.number.font,M,t)}(),z+=f.number.font.size+f.number.font.family+f.number.valueformat+f.number.suffix+f.number.prefix,h=o);if(f._hasDelta&&f._hasNumber){var I,D,R=[(o.left+o.right)/2,(o.top+o.bottom)/2],F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=.75*f.delta.font.size;\"left\"===f.delta.position&&(I=T(f,\"deltaPos\",0,-1*(o.width*v[f.align]+l.width*(1-v[f.align])+B),z,Math.min),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:l.left+I,right:o.right,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"right\"===f.delta.position&&(I=T(f,\"deltaPos\",0,o.width*(1-v[f.align])+l.width*v[f.align]+B,z,Math.max),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:o.left,right:l.right+I,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"bottom\"===f.delta.position&&(I=null,D=l.height,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height,bottom:o.bottom+l.height}),\"top\"===f.delta.position&&(I=null,D=o.top,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height-l.height,bottom:o.bottom}),O.attr({dx:I,dy:D})}(f._hasNumber||f._hasDelta)&&E.attr(\"transform\",function(){var t=i.numbersScaler(h);z+=t[2];var e,r=T(f,\"numbersScale\",1,t[0],z,Math.min);f._scaleNumbers||(r=1),e=f._isAngular?x-r*h.bottom:x-r*(h.top+h.bottom)/2,f._numbersTop=r*h.top+e;var n=h[w];\"center\"===w&&(n=(h.left+h.right)/2);var a=p-r*n;return _(a=T(f,\"numbersTranslate\",0,a,z,Math.max),e)+\" scale(\"+r+\")\"})}(t,C,e,{numbersX:h,numbersY:M,numbersScaler:A,transitionOpts:r,onComplete:f}),P&&(S={range:L.gauge.axis.range,color:L.gauge.bgcolor,line:{color:L.gauge.bordercolor,width:0},thickness:1},E={range:L.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:L.gauge.bordercolor,width:L.gauge.borderwidth},thickness:1});var q=C.selectAll(\"g.angular\").data(O?e:[]);q.exit().remove();var H=C.selectAll(\"g.angularaxis\").data(O?e:[]);H.exit().remove(),O&&function(t,e,r,a){var s,l,c,h,f=r[0].trace,p=a.size,d=a.radius,g=a.innerRadius,v=a.gaugeBg,m=a.gaugeOutline,w=[p.l+p.w/2,p.t+p.h/2+d/2],k=a.gauge,T=a.layer,M=a.transitionOpts,A=a.onComplete,S=Math.PI/2;function E(t){var e=f.gauge.axis.range[0],r=f.gauge.axis.range[1],n=(t-e)/(r-e)*Math.PI-S;return n<-S?-S:n>S?S:n}function L(t){return n.svg.arc().innerRadius((g+d)/2-t/2*(d-g)).outerRadius((g+d)/2+t/2*(d-g)).startAngle(-S)}function C(t){t.attr(\"d\",function(t){return L(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()})}k.enter().append(\"g\").classed(\"angular\",!0),k.attr(\"transform\",_(w[0],w[1])),T.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),T.selectAll(\"g.xangularaxistick,path,text\").remove(),(s=b(t,f.gauge.axis)).type=\"linear\",s.range=f.gauge.axis.range,s._id=\"xangularaxis\",s.setScale();var P=function(t){return(s.range[0]-t.x)/(s.range[1]-s.range[0])*Math.PI+Math.PI},O={},z=u.makeLabelFns(s,0).labelStandoff;O.xFn=function(t){var e=P(t);return Math.cos(e)*z},O.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*o)},O.anchorFn=function(t){var e=P(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},O.heightFn=function(t,e,r){var n=P(t);return-.5*(1+Math.sin(n))*r};var I=function(t){return _(w[0]+d*Math.cos(t),w[1]-d*Math.sin(t))};c=function(t){return I(P(t))};if(l=u.calcTicks(s),h=u.getTickSigns(s)[2],s.visible){h=\"inside\"===s.ticks?-1:1;var D=(s.linewidth||1)/2;u.drawTicks(t,s,{vals:l,layer:T,path:\"M\"+h*D+\",0h\"+h*s.ticklen,transFn:function(t){var e=P(t);return I(e)+\"rotate(\"+-i(e)+\")\"}}),u.drawLabels(t,s,{vals:l,layer:T,transFn:c,labelFns:O})}var R=[v].concat(f.gauge.steps),F=k.selectAll(\"g.bg-arc\").data(R);F.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),F.select(\"path\").call(C).call(x),F.exit().remove();var B=L(f.gauge.bar.thickness),N=k.selectAll(\"g.value-arc\").data([f.gauge.bar]);N.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var j=N.select(\"path\");y(M)?(j.transition().duration(M.duration).ease(M.easing).each(\"end\",function(){A&&A()}).each(\"interrupt\",function(){A&&A()}).attrTween(\"d\",(V=B,U=E(r[0].lastY),q=E(r[0].y),function(){var t=n.interpolate(U,q);return function(e){return V.endAngle(t(e))()}})),f._lastValue=r[0].y):j.attr(\"d\",\"number\"==typeof r[0].y?B.endAngle(E(r[0].y)):\"M0,0Z\");var V,U,q;j.call(x),N.exit().remove(),R=[];var H=f.gauge.threshold.value;H&&R.push({range:[H,H],color:f.gauge.threshold.color,line:{color:f.gauge.threshold.line.color,width:f.gauge.threshold.line.width},thickness:f.gauge.threshold.thickness});var G=k.selectAll(\"g.threshold-arc\").data(R);G.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),G.select(\"path\").call(C).call(x),G.exit().remove();var Y=k.selectAll(\"g.gauge-outline\").data([m]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(C).call(x),Y.exit().remove()}(t,0,e,{radius:B,innerRadius:N,gauge:q,layer:H,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var G=C.selectAll(\"g.bullet\").data(z?e:[]);G.exit().remove();var Y=C.selectAll(\"g.bulletaxis\").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,n){var a,i,o,s,c,h=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,v=n.gaugeOutline,m=n.size,_=h.domain,w=n.transitionOpts,k=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",\"translate(\"+m.l+\", \"+m.t+\")\"),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var T=m.h,M=h.gauge.bar.thickness*T,A=_.x[0],S=_.x[0]+(_.x[1]-_.x[0])*(h._hasNumber||h._hasDelta?1-l.bulletNumberDomainSize:1);(a=b(t,h.gauge.axis))._id=\"xbulletaxis\",a.domain=[A,S],a.setScale(),i=u.calcTicks(a),o=u.makeTransFn(a),s=u.getTickSigns(a)[2],c=m.t+m.h,a.visible&&(u.drawTicks(t,a,{vals:\"inside\"===a.ticks?u.clipEnds(a,i):i,layer:p,path:u.makeTickPath(a,c,s),transFn:o}),u.drawLabels(t,a,{vals:i,layer:p,transFn:o,labelFns:u.makeLabelFns(a,c)}));function E(t){t.attr(\"width\",function(t){return Math.max(0,a.c2p(t.range[1])-a.c2p(t.range[0]))}).attr(\"x\",function(t){return a.c2p(t.range[0])}).attr(\"y\",function(t){return.5*(1-t.thickness)*T}).attr(\"height\",function(t){return t.thickness*T})}var L=[g].concat(h.gauge.steps),C=f.selectAll(\"g.bg-bullet\").data(L);C.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),C.select(\"rect\").call(E).call(x),C.exit().remove();var P=f.selectAll(\"g.value-bullet\").data([h.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(T-M)/2).call(x),y(w)?P.select(\"rect\").transition().duration(w.duration).ease(w.easing).each(\"end\",function(){k&&k()}).each(\"interrupt\",function(){k&&k()}).attr(\"width\",Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y))):0);P.exit().remove();var O=r.filter(function(){return h.gauge.threshold.value}),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",a.c2p(h.gauge.threshold.value)).attr(\"x2\",a.c2p(h.gauge.threshold.value)).attr(\"y1\",(1-h.gauge.threshold.thickness)/2*T).attr(\"y2\",(1-(1-h.gauge.threshold.thickness)/2)*T).call(d.stroke,h.gauge.threshold.line.color).style(\"stroke-width\",h.gauge.threshold.line.width),z.exit().remove();var I=f.selectAll(\"g.gauge-outline\").data([v]);I.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),I.select(\"rect\").call(E).call(x),I.exit().remove()}(t,0,e,{gauge:G,layer:Y,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var W=C.selectAll(\"text.title\").data(e);W.exit().remove(),W.enter().append(\"text\").classed(\"title\",!0),W.attr(\"text-anchor\",function(){return 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r=\"slices.\"+t;i(r+\".show\")&&(i(r+\".fill\"),i(r+\".locations\"))}),i(\"spaceframe.show\")&&i(\"spaceframe.fill\"),i(\"surface.show\")&&(i(\"surface.count\"),i(\"surface.fill\"),i(\"surface.pattern\")),i(\"contour.show\")&&(i(\"contour.color\"),i(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach(function(t){i(t)}),o(t,e,n,i,{prefix:\"\",cLetter:\"c\"}),e._length=null):e.visible=!1}e.exports={supplyDefaults:function(t,e,r,a){s(t,e,0,a,function(r,a){return n.coerce(t,e,i,r,a)})},supplyIsoDefaults:s}},{\"../../components/colorscale/defaults\":601,\"../../lib\":717,\"../../registry\":846,\"./attributes\":1056}],1060:[function(t,e,r){\"use 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n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../surface/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat;e.exports=s({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":599}],1063:[function(t,e,r){\"use strict\";var n=t(\"gl-mesh3d\"),a=t(\"delaunay-triangulate\"),i=t(\"alpha-shape\"),o=t(\"convex-hull\"),s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function h(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var f=h.prototype;function p(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=l(t[n]);return e}function d(t,e,r,n){for(var a=[],i=e.length,o=0;o<i;o++)a[o]=t.d2l(e[o],0,n)*r;return a}function g(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function v(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}f.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},f.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,h=t.x.length,f=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!v(t.i,h)||!v(t.j,h)||!v(t.k,h))return;n=u(g(t.i),g(t.j),g(t.k))}else n=0===t.alphahull?o(f):t.alphahull>0?i(t.alphahull,f):function(t,e){for(var r=[\"x\",\"y\",\"z\"].indexOf(t),n=[],i=e.length,o=0;o<i;o++)n[o]=[e[o][(r+1)%3],e[o][(r+2)%3]];return a(n)}(t.delaunayaxis,f);var m={positions:f,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var y=c(t);this.color=\"#fff\";var x=t.intensitymode;m[x+\"Intensity\"]=t.intensity,m[x+\"IntensityBounds\"]=[y.min,y.max],m.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],m.vertexColors=p(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],m.cellColors=p(t.facecolor)):(this.color=t.color,m.meshColor=l(t.color));this.mesh.update(m)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,a=n({gl:r}),i=new 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n=t(\"../../lib\"),a=n._,i=t(\"../../plots/cartesian/axes\"),o=t(\"../../constants/numerical\").BADNUM;function s(t,e,r,n){return{o:t,h:e,l:r,c:n}}function l(t,e,r,s,l){for(var c=s.makeCalcdata(e,\"open\"),u=s.makeCalcdata(e,\"high\"),h=s.makeCalcdata(e,\"low\"),f=s.makeCalcdata(e,\"close\"),p=Array.isArray(e.text),d=Array.isArray(e.hovertext),g=!0,v=null,m=[],y=0;y<r.length;y++){var x=r[y],b=c[y],_=u[y],w=h[y],k=f[y];if(x!==o&&b!==o&&_!==o&&w!==o&&k!==o){k===b?null!==v&&k!==v&&(g=k>v):g=k>b,v=k;var T=l(b,_,w,k);T.pos=x,T.yc=(b+k)/2,T.i=y,T.dir=g?\"increasing\":\"decreasing\",T.x=T.pos,T.y=[w,_],p&&(T.tx=e.text[y]),d&&(T.htx=e.hovertext[y]),m.push(T)}else m.push({pos:x,empty:!0})}return e._extremes[s._id]=i.findExtremes(s,n.concat(h,u),{padded:!0}),m.length&&(m[0].t={labels:{open:a(t,\"open:\")+\" \",high:a(t,\"high:\")+\" \",low:a(t,\"low:\")+\" \",close:a(t,\"close:\")+\" \"}}),m}e.exports={calc:function(t,e){var r=i.getFromId(t,e.xaxis),a=i.getFromId(t,e.yaxis),o=function(t,e,r){var 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g(t){if(!t.parcatsViewModel.dragDimension&&(x(n.select(this)),i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(p),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=v(t),r=m(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function v(t){for(var e=[],r=O(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var a=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:a})}return e}function m(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var a=r[n],i=a.categories[t.model.categoryInds[n]];e[a.containerInd]=i.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function y(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=v(t),r=m(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function x(t){t.attr(\"fill\",function(t){return t.model.color}).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function b(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",function(t){return l.mostReadable(t.model.color,[\"black\",\"white\"])}).attr(\"stroke-width\",.3)}function _(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function k(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter(function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color})}function T(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each(function(t){k(t).each(function(t){Array.prototype.push.apply(l,v(t))})});var c={};c[i.dimensionInd]=i.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function M(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=k(a),l=[];s.each(function(t){Array.prototype.push.apply(l,v(t))});var c={};c[i.dimensionInd]=i.categoryValue,void 0!==a.rawColor&&(c.color=a.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function A(t,e){var r,a,i=n.select(e.parentNode).select(\"rect.catrect\"),o=i.node().getBoundingClientRect(),s=i.datum(),l=s.parcatsViewModel,c=l.model.dimensions[s.model.dimensionInd],u=l.trace,h=o.top+o.height/2;l.dimensions.length>1&&c.displayInd===l.dimensions.length-1?(r=o.left,a=\"left\"):(r=o.left+o.width,a=\"right\");var f=s.model.count,p=s.model.categoryLabel,d=f/s.parcatsViewModel.model.count,g={countLabel:f,categoryLabel:p,probabilityLabel:d.toFixed(3)},v=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&v.push([\"Count:\",g.countLabel].join(\" 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n.select(e.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each(function(){r.push(A(t,this))}),r}(s,this)),e&&i.loneHover(e,{container:a._hoverlayer.node(),outerContainer:a._paper.node(),gd:r})}}function E(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(x(e.pathSelection),_(e.dimensionSelection.selectAll(\"g.category\")),w(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),i.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(p),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?M(this,\"plotly_unhover\",n.event):T(this,\"plotly_unhover\",n.event)}}function L(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map(function(t){return t.displayInd}),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each(function(e){var r=n.mouse(this)[0],a=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=a&&a<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map(function(t){return t.displayInd}),e.model.dragY=e.y,o.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each(function(e){e.y<a&&a<=e.y+e.height&&(t.potentialClickBand=this)}))}),t.parcatsViewModel.dragDimension=t,i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function C(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,a=e+1,i=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=i.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=i.categories,u=c[l-1],h=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==h&&s+o.height>h.y+h.height/2&&(o.model.displayInd=h.model.displayInd,h.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){i.model.dragX=n.event.x;var f=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[a];void 0!==f&&i.model.dragX<f.x+f.width&&(i.model.displayInd=f.model.displayInd,f.model.displayInd=e),void 0!==p&&i.model.dragX+i.width>p.x&&(i.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=i.model.displayInd}F(t.parcatsViewModel),R(t.parcatsViewModel),I(t.parcatsViewModel),z(t.parcatsViewModel)}}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=O(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map(function(t){return t.displayInd}),o=t.initialDragDimensionDisplayInds.some(function(t,e){return t!==i[e]});o&&i.forEach(function(r,n){var a=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+a+\"].displayindex\"]=r});var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map(function(t){return t.displayInd});if(s=t.initialDragCategoryDisplayInds.some(function(t,e){return t!==l[e]})){var c=t.model.categories.slice().sort(function(t,e){return t.displayInd-e.displayInd}),u=c.map(function(t){return t.categoryValue}),h=c.map(function(t){return t.categoryLabel});e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[h],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):T(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,F(t.parcatsViewModel),R(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each(function(){I(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)}).each(\"end\",function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])})}}function 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e,r;f(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)});var i=a.selectAll(\"rect.bandrect\").data(function(t){return t.bands},h),s=i.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",function(t){return t.color}).attr(\"fill-opacity\",0);i.attr(\"fill\",function(t){return t.color}).attr(\"width\",function(t){return t.width}).attr(\"height\",function(t){return t.height}).attr(\"y\",function(t){return t.y}),w(s),i.each(function(){o.raiseToTop(this)}),i.exit().remove()}function D(t,e,r,a,i){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=n.interpolateNumber(r[s]+t[s],t[s+1]),l.push(o(i)),c.push(o(1-i));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+a+\" \",u+=\"l -\"+r[r.length-1]+\",0 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Array(c.length),p=e[0].model.count,d=e[0].categories.map(function(t){return t.height}).reduce(function(t,e){return t+e}),g=0;g<c.length;g++){var v,m=c[g];v=p>0?d*(m.count/p):0;for(var y,x=new Array(n.length),b=0;b<m.categoryInds.length;b++){var _=m.categoryInds[b],w=a[b][_],k=i[b];x[k]=n[k][w],n[k][w]+=v;var T=t.dimensions[k].categories[w],M=T.bands.length,A=T.bands[M-1];if(void 0===A||m.rawColor!==A.rawColor){var S=void 0===A?0:A.y+A.height;T.bands.push({key:S,color:m.color,rawColor:m.rawColor,height:v,width:T.width,count:m.count,y:S,categoryViewModel:T,parcatsViewModel:t})}else{var E=T.bands[M-1];E.height+=v,E.count+=m.count}}y=\"hspline\"===t.pathShape?D(s,x,l,v,.5):D(s,x,l,v,0),f[g]={key:m.valueInds[0],model:m,height:v,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=f}function F(t){var e=t.model.dimensions.map(function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}});e.sort(function(t,e){return t.displayInd-e.displayInd});var r=[];for(var n in e){var a=e[n].dimensionInd,i=t.model.dimensions[a];r.push(B(t,i))}t.dimensions=r}function B(t,e){var r,n=t.model.dimensions.length,a=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*a;var i,o,s,l,c,u=[],h=t.model.maxCats,f=e.categories.length,p=e.count,d=t.height-8*(h-1),g=8*(h-f)/2,v=e.categories.map(function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}});for(v.sort(function(t,e){return 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n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/layout_attributes\"),i=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:i({editType:\"plot\"}),tickfont:i({editType:\"plot\"}),rangefont:i({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},a.tickvals,{editType:\"plot\"}),ticktext:s({},a.ticktext,{editType:\"plot\"}),tickformat:s({},a.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":598,\"../../lib/extend\":708,\"../../plot_api/plot_template\":755,\"../../plots/cartesian/layout_attributes\":777,\"../../plots/domain\":790,\"../../plots/font_attributes\":791}],1083:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"d3\"),i=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=n.bar.snapRatio;function c(t,e){return t*(1-l)+e*l}var u=n.bar.snapClose;function h(t,e){return t*(1-u)+e*u}function f(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var a=t?-1:1,i=0,o=e.length-1;if(a<0){var s=i;i=o,o=s}for(var l=e[i],u=l,f=i;a*f<a*o;f+=a){var p=f+a,d=e[p];if(a*r<a*h(l,d))return c(l,u);if(a*r<a*d||p===o)return c(d,l);u=l,l=d}}function p(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth)}function d(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function g(t){if(!t.brush.filterSpecified)return\"0,\"+t.height;for(var e,r,n,a=v(t.brush.filter.getConsolidated(),t.height),i=[0],o=a.length?a[0][0]:null,s=0;s<a.length;s++)r=(e=a[s])[1]-e[0],i.push(o),i.push(r),(n=s+1)<a.length&&(o=a[n][0]-e[1]);return i.push(t.height),i}function v(t,e){return t.map(function(t){return t.map(function(t){return Math.max(0,t*e)}).sort(s)})}function m(){a.select(document.body).style(\"cursor\",null)}function y(t){t.attr(\"stroke-dasharray\",g)}function x(t,e){var r=a.select(t).selectAll(\".highlight, .highlight-shadow\");y(e?r.transition().duration(n.bar.snapDuration).each(\"end\",e):r)}function b(t,e){var r,a=t.brush,i=NaN,o={};if(a.filterSpecified){var s=t.height,l=a.filter.getConsolidated(),c=v(l,s),u=NaN,h=NaN,f=NaN;for(r=0;r<=c.length;r++){var p=c[r];if(p&&p[0]<=e&&e<=p[1]){u=r;break}if(h=r?r-1:NaN,p&&p[0]>e){f=r;break}}if(i=u,isNaN(i)&&(i=isNaN(h)||isNaN(f)?isNaN(h)?f:h:e-c[h][1]<c[f][0]-e?h:f),!isNaN(i)){var d=c[i],g=function(t,e){var r=n.bar.handleHeight;if(!(e>t[1]+r||e<t[0]-r))return e>=.9*t[1]+.1*t[0]?\"n\":e<=.9*t[0]+.1*t[1]?\"s\":\"ns\"}(d,e);g&&(o.interval=l[i],o.intervalPix=d,o.region=g)}}if(t.ordinal&&!o.region){var m=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r<m.length;r++){var x=[.25*m[Math.max(r-1,0)]+.75*m[r],.25*m[Math.min(r+1,m.length-1)]+.75*m[r]];if(y>=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function _(t,e){a.event.sourceEvent.stopPropagation();var r=e.height-a.mouse(t)[1]-2*n.verticalPadding,i=e.brush.svgBrush;i.wasDragged=!0,i._dragging=!0,i.grabbingBar?i.newExtent=[r-i.grabPoint,r+i.barLength-i.grabPoint].map(e.unitToPaddedPx.invert):i.newExtent=[i.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,i.extent=i.stayingIntervals.concat([i.newExtent]),i.brushCallback(e),x(t.parentNode)}function w(t,e){var r=b(e,e.height-a.mouse(t)[1]-2*n.verticalPadding),i=\"crosshair\";r.clickableOrdinalRange?i=\"pointer\":r.region&&(i=r.region+\"-resize\"),a.select(document.body).style(\"cursor\",i)}function k(t){t.on(\"mousemove\",function(t){a.event.preventDefault(),t.parent.inBrushDrag||w(this,t)}).on(\"mouseleave\",function(t){t.parent.inBrushDrag||m()}).call(a.behavior.drag().on(\"dragstart\",function(t){!function(t,e){a.event.sourceEvent.stopPropagation();var r=e.height-a.mouse(t)[1]-2*n.verticalPadding,i=e.unitToPaddedPx.invert(r),o=e.brush,s=b(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter(function(t){return t[0]!==l[0]&&t[1]!==l[1]})),c.startExtent=s.region?l[\"s\"===s.region?1:0]:i,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)}).on(\"drag\",function(t){_(this,t)}).on(\"dragend\",function(t){!function(t,e){var r=e.brush,n=r.filter,i=r.svgBrush;i._dragging||(w(t,e),_(t,e),e.brush.svgBrush.wasDragged=!1),i._dragging=!1,a.event.sourceEvent.stopPropagation();var o=i.grabbingBar;if(i.grabbingBar=!1,i.grabLocation=void 0,e.parent.inBrushDrag=!1,m(),!i.wasDragged)return i.wasDragged=void 0,i.clickableOrdinalRange?r.filterSpecified&&e.multiselect?i.extent.push(i.clickableOrdinalRange):(i.extent=[i.clickableOrdinalRange],r.filterSpecified=!0):o?(i.extent=i.stayingIntervals,0===i.extent.length&&M(r)):M(r),i.brushCallback(e),x(t.parentNode),void i.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),i.newExtent=[f(0,l,i.newExtent[0],i.stayingIntervals),f(1,l,i.newExtent[1],i.stayingIntervals)];var c=i.newExtent[1]>i.newExtent[0];i.extent=i.stayingIntervals.concat(c?[i.newExtent]:[]),i.extent.length||M(r),i.brushCallback(e),c?x(t.parentNode,s):(s(),x(t.parentNode))}else s();i.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)}))}function T(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function A(t){for(var e,r=t.slice(),n=[],a=r.shift();a;){for(e=a.slice();(a=r.shift())&&a[0]<=e[1];)e[1]=Math.max(e[1],a[1]);n.push(e)}return n}e.exports={makeBrush:function(t,e,r,n,a,i){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map(function(t){return t.slice().sort(s)}).sort(T)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=A(r),e=r.reduce(function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]},[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=a,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map(function(t){return t.slice()})}(e).slice();e.filter.set(r),o()}),brushEndCallback:i}}},ensureAxisBrush:function(t){var e=t.selectAll(\".\"+n.cn.axisBrush).data(o,i);e.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t){var e=t.selectAll(\".background\").data(o);e.enter().append(\"rect\").classed(\"background\",!0).call(p).call(d).style(\"pointer-events\",\"auto\").attr(\"transform\",\"translate(0 \"+n.verticalPadding+\")\"),e.call(k).attr(\"height\",function(t){return t.height-n.verticalPadding});var r=t.selectAll(\".highlight-shadow\").data(o);r.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",n.bar.strokeColor).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),r.attr(\"y1\",function(t){return t.height}).call(y);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",function(t){return t.height}).call(y)}(e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map(function(t){return t.sort(s)}),t=e.multiselect?A(t.sort(T)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map(function(t){var e=[f(0,r,t[0],[]),f(1,r,t[1],[])];if(e[1]>e[0])return e}).filter(function(t){return t})).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":717,\"../../lib/gup\":715,\"./constants\":1086,d3:165}],1084:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/get_data\").getModuleCalcData,i=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=a(t.calcdata,\"parcoords\")[0];e.length&&i(t,e)},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"parcoords\"),i=e._has&&e._has(\"parcoords\");a&&!i&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter(function(t,e){return e===r.size()-1}).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each(function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.width,height:this.height})}),window.setTimeout(function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")},60)}},{\"../../constants/xmlns_namespaces\":694,\"../../plots/get_data\":800,\"./plot\":1093,d3:165}],1085:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,a=t(\"../../components/colorscale\"),i=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return a.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=a.extractOpts(e.line).colorscale,a.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),i({lineColor:r,cscale:o})}},{\"../../components/colorscale\":603,\"../../lib\":717,\"../../lib/gup\":715}],1086:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:\"#777\",bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeColor:\"white\",strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],1087:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),h=t(\"./constants\").maxDimensionCount,f=t(\"./merge_length\");function p(t,e,r,a){function i(r,a){return n.coerce(t,e,c.dimensions,r,a)}var o=i(\"values\"),s=i(\"visible\");if(o&&o.length||(s=e.visible=!1),s){i(\"label\"),i(\"tickvals\"),i(\"ticktext\"),i(\"tickformat\");var h=i(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:h},l.setConvert(e._ax,a.layout),i(\"multiselect\");var f=i(\"constraintrange\");f&&(e.constraintrange=u.cleanRanges(f,e))}}e.exports=function(t,e,r,l){function u(r,a){return n.coerce(t,e,c,r,a)}var d=t.dimensions;Array.isArray(d)&&d.length>h&&(n.log(\"parcoords traces support up to \"+h+\" dimensions at the moment\"),d.splice(h));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),v=function(t,e,r,o,s){var l=s(\"line.color\",r);if(a(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),i(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),f(e,g,\"values\",v);var m={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",m),n.coerceFont(u,\"tickfont\",m),n.coerceFont(u,\"rangefont\",m),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":601,\"../../components/colorscale/helpers\":602,\"../../lib\":717,\"../../plots/array_container_defaults\":761,\"../../plots/cartesian/axes\":765,\"../../plots/domain\":790,\"./attributes\":1082,\"./axisbrush\":1083,\"./constants\":1086,\"./merge_length\":1091}],1088:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":717}],1089:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":1082,\"./base_plot\":1084,\"./calc\":1085,\"./defaults\":1087,\"./plot\":1093}],1090:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform sampler2D mask, palette;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(mask,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=1e-6,c=2048,u=new Uint8Array(4),h=new Uint8Array(4),f={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function p(t,e,r,n,a){var i=t._gl;i.enable(i.SCISSOR_TEST),i.scissor(e,r,n,a),t.clear({color:[0,0,0,0],depth:1})}function d(t,e,r,n,a,i){var 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n=e.indexOf(r),a=t.indexOf(n);return-1===a&&(a+=e.length),a}e.exports=function(t,e){var r=t._fullLayout;if(a(t)){var s={},l={},c={},u={},h=r._size;e.forEach(function(e,r){var n=e[0].trace;c[r]=n.index;var a=u[r]=n._fullInput.index;s[r]=t.data[a].dimensions,l[r]=t.data[a].dimensions.slice()});n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,a){var i=l[e][n],o=a.map(function(t){return t.slice()}),s=\"dimensions[\"+n+\"].constraintrange\",h=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===h[s]){var f=i.constraintrange;h[s]=f||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),i.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete i.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return 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n=t(\"../../plots/attributes\"),a=t(\"../../plots/domain\").attributes,i=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=i({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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r,a,i=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],h=e.values,f=e._length,p=e._hasValues&&f;if(e.dlabel)for(c=new Array(f),r=0;r<f;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),v=0,m=!1;for(r=0;r<f;r++){var y,x,b;if(p){if(y=h[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=i.length,(b=-1!==l.indexOf(x))||(v+=y),i.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(m=!0,(a=i[_]).v+=y,a.pts.push(r),a.hidden||(v+=y),!1===a.color&&u[r]&&(a.color=g(u[r],x)))}return(\"funnelarea\"===e.type?m:e.sort)&&i.sort(function(t,e){return e.v-t.v}),i[0]&&(i[0].vTotal=v),i},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,a=t.calcdata,i=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(i=l(i,o));for(var c=0,u=0;u<a.length;u++){var h=a[u];if(h[0].trace.type===r)for(var f=0;f<h.length;f++){var p=h[f];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=i[c%i.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":591,\"fast-isnumeric\":228,tinycolor2:535}],1097:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),i=a.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,i?e.length:1/0);if(isFinite(o)||(o=0),o&&i){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:i,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return a.coerce(t,e,i,r,n)}var u=l(c(\"labels\"),c(\"values\")),h=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),h){e._length=h,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var f,p=c(\"text\"),d=c(\"texttemplate\");if(d||(f=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||f&&\"none\"!==f){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var v=c(\"hole\");if(c(\"title.text\")){var m=c(\"title.position\",v?\"middle center\":\"top center\");v||\"middle center\"!==m||(e.title.position=\"top center\"),a.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":717,\"../../plots/domain\":790,\"../bar/defaults\":860,\"./attributes\":1094,\"fast-isnumeric\":228}],1098:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":626}],1099:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");r.formatPiePercent=function(t,e){var r=(100*t).toPrecision(3);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=t.toPrecision(10);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0}},{\"../../lib\":717}],1100:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":1094,\"./base_plot\":1095,\"./calc\":1096,\"./defaults\":1097,\"./layout_attributes\":1101,\"./layout_defaults\":1102,\"./plot\":1103,\"./style\":1104,\"./style_one\":1105}],1101:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],1102:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":717,\"./layout_attributes\":1101}],1103:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/plots\"),i=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"../../lib/svg_text_utils\"),u=t(\"../bar/uniform_text\"),h=u.recordMinTextSize,f=u.clearMinTextSize,p=t(\"../bar/constants\").TEXTPAD,d=t(\"./helpers\"),g=t(\"./event_data\"),v=t(\"../../lib\").isValidTextValue;function m(t,e,r){var a=r[0],o=a.trace,s=a.cx,c=a.cy;\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),t.on(\"mouseover\",function(t){var r=e._fullLayout,u=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var h=u.hoverinfo;if(Array.isArray(h)&&(h=i.castHoverinfo({hoverinfo:[d.castOption(h,t.pts)],_module:o._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),u.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var f=t.rInscribed||0,p=s+t.pxmid[0]*(1-f),v=c+t.pxmid[1]*(1-f),m=r.separators,y=[];if(h&&-1!==h.indexOf(\"label\")&&y.push(t.label),t.text=d.castOption(u.hovertext||u.text,t.pts),h&&-1!==h.indexOf(\"text\")){var x=t.text;l.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=d.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&y.push(t.valueLabel),t.percent=t.v/a.vTotal,t.percentLabel=d.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&y.push(t.percentLabel);var b=u.hoverlabel,_=b.font;i.loneHover({trace:o,x0:p-f*a.r,x1:p+f*a.r,y:v,text:y.join(\"<br>\"),name:u.hovertemplate||-1!==h.indexOf(\"name\")?u.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:d.castOption(b.bgcolor,t.pts)||t.color,borderColor:d.castOption(b.bordercolor,t.pts),fontFamily:d.castOption(_.family,t.pts),fontSize:d.castOption(_.size,t.pts),fontColor:d.castOption(_.color,t.pts),nameLength:d.castOption(b.namelength,t.pts),textAlign:d.castOption(b.align,t.pts),hovertemplate:d.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[g(t,u)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[g(t,u)],event:n.event})}}),t.on(\"mouseout\",function(t){var r=e._fullLayout,a=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[g(s,a)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(i.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)}),t.on(\"click\",function(t){var r=e._fullLayout,a=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[g(t,a)],i.click(e,n.event))})}function y(t,e,r){var n=d.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=d.castOption(t._input.textfont.color,e.pts));var a=d.castOption(t.insidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.insidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:a,size:i}}function x(t,e){for(var r,n,a=0;a<t.length;a++)if((n=(r=t[a][0]).trace).title.text){var i=n.title.text;n._meta&&(i=l.templateString(i,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(i).call(s.font,n.title.font).call(c.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function b(t,e,r){var n=r.r||e.rpx1,a=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-a,scale:0,rotate:0,textPosAngle:0};var i,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,h=\"horizontal\"===u,f=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=[];if(!d){var v,m=function(r,a){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(i=\"tan\"===a?w(t,n,o,c,0):_(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(i)}};if(h||f){for(v=4;v>=-4;v-=2)m(Math.PI*v,\"tan\");for(v=4;v>=-4;v-=2)m(Math.PI*(v+1),\"tan\")}if(h||p){for(v=4;v>=-4;v-=2)m(Math.PI*(v+1.5),\"rad\");for(v=4;v>=-4;v-=2)m(Math.PI*(v+.5),\"rad\")}}if(s||d||h){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((i={scale:a*n*2/y,rCenter:1-a,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,i.scale>=1)return i;g.push(i)}(d||p)&&((i=_(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i)),(d||f)&&((i=w(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i));for(var x=0,b=0,k=0;k<g.length;k++){var T=g[k].scale;if(b<T&&(b=T,x=k),!d&&b>=1)break}return g[x]}function _(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.width/t.height,o=M(i,n,e,r);return{scale:2*o/t.height,rCenter:k(i,o/e),rotate:T(a)}}function w(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.height/t.width,o=M(i,n,e,r);return{scale:2*o/t.width,rCenter:k(i,o/e),rotate:T(a+Math.PI/2)}}function k(t,e){return Math.cos(e)-t*e}function T(t){return(180/Math.PI*t+720)%180-90}function M(t,e,r,n){var a=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(a*a+.5)+a),n/(Math.sqrt(t*t+n/2)+t))}function A(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function S(t,e){var r=e.pxmid[0],n=e.pxmid[1],a=t.width/2,i=t.height/2;return r<0&&(a*=-1),n<0&&(i*=-1),{scale:1,rCenter:1,rotate:0,x:a+Math.abs(i)*(a>0?1:-1)/2,y:i/(1+r*r/(n*n)),outside:!0}}function E(t,e){var r,n,a,i=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=i.title.font.size,a=C(i),-1!==i.title.position.indexOf(\"top\")?(o.y-=(1+a)*t.r,s.ty-=t.titleBox.height):-1!==i.title.position.indexOf(\"bottom\")&&(o.y+=(1+a)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),h=e.w*(i.domain.x[1]-i.domain.x[0])/2;return-1!==i.title.position.indexOf(\"left\")?(h+=u,o.x-=(1+a)*u,s.tx+=t.titleBox.width/2):-1!==i.title.position.indexOf(\"center\")?h*=2:-1!==i.title.position.indexOf(\"right\")&&(h+=u,o.x+=(1+a)*u,s.tx-=t.titleBox.width/2),r=h/t.titleBox.width,n=L(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function L(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function C(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function P(t,e){for(var r=[],n=0;n<t.length;n++){var a=t[n][0],i=a.trace,o=i.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);i.title.text&&\"middle center\"!==i.title.position&&(l-=L(a,e));var c=s/2,u=l/2;\"funnelarea\"!==i.type||i.scalegroup||(u/=i.aspectratio),a.r=Math.min(c,u)/(1+C(i)),a.cx=e.l+e.w*(i.domain.x[1]+i.domain.x[0])/2,a.cy=e.t+e.h*(1-i.domain.y[0])-l/2,i.title.text&&-1!==i.title.position.indexOf(\"bottom\")&&(a.cy-=L(a,e)),i.scalegroup&&-1===r.indexOf(i.scalegroup)&&r.push(i.scalegroup)}!function(t,e){for(var r,n,a,i=0;i<e.length;i++){var o=1/0,s=e[i];for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var l;if(\"pie\"===a.type)l=r.r*r.r;else if(\"funnelarea\"===a.type){var c,u;a.aspectratio>1?(c=r.r,u=c/a.aspectratio):(u=r.r,c=u*a.aspectratio),c*=(1+a.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var h=o*r.vTotal;\"funnelarea\"===a.type&&(h/=(1+a.baseratio)/2,h/=a.aspectratio),r.r=Math.sqrt(h)}}}(t,r)}function O(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,a=r.trace,i=a.texttemplate,o=a.textinfo;if(!i&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},h=u(\"label\"),f=u(\"text\"),p=u(\"value\"),g=u(\"percent\"),m=n.separators;if(s=h?[e.label]:[],f){var y=d.getFirstFilled(a.text,e.pts);v(y)&&s.push(y)}p&&s.push(d.formatPieValue(e.v,m)),g&&s.push(d.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\"<br>\")}if(i){var x=l.castOption(a,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:d.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:d.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(a,t.i,\"customdata\")}}(e),_=d.getFirstFilled(a.text,e.pts);(v(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,a._meta||{})}else e.text=\"\"}}function I(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),a=Math.sin(r),i=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=i*n-o*a,t.textY=i*a+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,i=r._size;f(\"pie\",r),x(e,t),P(e,i);var u=l.makeTraceGroups(r._pielayer,e,\"trace\").each(function(e){var u=n.select(this),f=e[0],p=f.trace;!function(t){var e,r,n,a=t[0],i=a.r,o=a.trace,s=o.rotation*Math.PI/180,l=2*Math.PI/a.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=O(i,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=O(i,s),r.midangle=s,s+=l*r.v/2,n=O(i,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>a.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/a.vTotal,.5),r.ring=1-o.hole,r.rInscribed=A(r,a))}(e),u.attr(\"stroke-linejoin\",\"round\"),u.each(function(){var g=n.select(this).selectAll(\"g.slice\").data(e);g.enter().append(\"g\").classed(\"slice\",!0),g.exit().remove();var v=[[[],[]],[[],[]]],x=!1;g.each(function(a,i){if(a.hidden)n.select(this).selectAll(\"path,g\").remove();else{a.pointNumber=a.i,a.curveNumber=p.index,v[a.pxmid[1]<0?0:1][a.pxmid[0]<0?0:1].push(a);var o=f.cx,u=f.cy,g=n.select(this),_=g.selectAll(\"path.surface\").data([a]);if(_.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),g.call(m,t,e),p.pull){var w=+d.castOption(p.pull,a.pts)||0;w>0&&(o+=w*a.pxmid[0],u+=w*a.pxmid[1])}a.cxFinal=o,a.cyFinal=u;var k=p.hole;if(a.v===f.vTotal){var T=\"M\"+(o+a.px0[0])+\",\"+(u+a.px0[1])+C(a.px0,a.pxmid,!0,1)+C(a.pxmid,a.px0,!0,1)+\"Z\";k?_.attr(\"d\",\"M\"+(o+k*a.px0[0])+\",\"+(u+k*a.px0[1])+C(a.px0,a.pxmid,!1,k)+C(a.pxmid,a.px0,!1,k)+\"Z\"+T):_.attr(\"d\",T)}else{var M=C(a.px0,a.px1,!0,1);if(k){var A=1-k;_.attr(\"d\",\"M\"+(o+k*a.px1[0])+\",\"+(u+k*a.px1[1])+C(a.px1,a.px0,!1,k)+\"l\"+A*a.px0[0]+\",\"+A*a.px0[1]+M+\"Z\")}else _.attr(\"d\",\"M\"+o+\",\"+u+\"l\"+a.px0[0]+\",\"+a.px0[1]+M+\"Z\")}z(t,a,f);var E=d.castOption(p.textposition,a.pts),L=g.selectAll(\"g.slicetext\").data(a.text&&\"none\"!==E?[0]:[]);L.enter().append(\"g\").classed(\"slicetext\",!0),L.exit().remove(),L.each(function(){var g=l.ensureSingle(n.select(this),\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),v=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){var n=d.castOption(t.outsidetextfont.color,e.pts)||d.castOption(t.textfont.color,e.pts)||r.color,a=d.castOption(t.outsidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.outsidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:a,size:i}}(p,a,r.font):y(p,a,r.font));g.text(a.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,v).call(c.convertToTspans,t);var m,_=s.bBox(g.node());if(\"outside\"===E)m=S(_,a);else if(m=b(_,a,f),\"auto\"===E&&m.scale<1){var w=l.ensureUniformFontSize(t,p.outsidetextfont);g.call(s.font,w),m=S(_=s.bBox(g.node()),a)}var k=m.textPosAngle,T=void 0===k?a.pxmid:O(f.r,k);if(m.targetX=o+T[0]*m.rCenter+(m.x||0),m.targetY=u+T[1]*m.rCenter+(m.y||0),I(m,_),m.outside){var M=m.targetY;a.yLabelMin=M-_.height/2,a.yLabelMid=M,a.yLabelMax=M+_.height/2,a.labelExtraX=0,a.labelExtraY=0,x=!0}m.fontSize=v.size,h(p.type,m,r),e[i].transform=m,g.attr(\"transform\",l.getTextTransform(m))})}function C(t,e,r,n){var i=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*f.r+\",\"+n*f.r+\" 0 \"+a.largeArc+(r?\" 1 \":\" 0 \")+i+\",\"+o}});var _=n.select(this).selectAll(\"g.titletext\").data(p.title.text?[0]:[]);if(_.enter().append(\"g\").classed(\"titletext\",!0),_.exit().remove(),_.each(function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),a=p.title.text;p._meta&&(a=l.templateString(a,p._meta)),r.text(a).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,p.title.font).call(c.convertToTspans,t),e=\"middle center\"===p.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(f):E(f,i),r.attr(\"transform\",\"translate(\"+e.x+\",\"+e.y+\")\"+(e.scale<1?\"scale(\"+e.scale+\")\":\"\")+\"translate(\"+e.tx+\",\"+e.ty+\")\")}),x&&function(t,e){var r,n,a,i,o,s,l,c,u,h,f,p,g;function v(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var a,c,u,f,p,g,v=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),m=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,x=t.cyFinal+o(t.px0[1],t.px1[1]),b=v-m;if(b*l>0&&(t.labelExtraY=b),Array.isArray(e.pull))for(c=0;c<h.length;c++)(u=h[c])===t||(d.castOption(e.pull,t.pts)||0)>=(d.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(f=u.cyFinal+o(u.px0[1],u.px1[1]),(b=f-m-t.labelExtraY)*l>0&&(t.labelExtraY+=b)):(y+t.labelExtraY-x)*l>0&&(a=3*s*Math.abs(c-h.indexOf(t)),p=u.cxFinal+i(u.px0[0],u.px1[0]),(g=p+a-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=g)))}for(n=0;n<2;n++)for(a=n?v:m,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(i=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(a),u=t[1-n][r],h=u.concat(c),p=[],f=0;f<c.length;f++)void 0!==c[f].yLabelMid&&p.push(c[f]);for(g=!1,f=0;n&&f<u.length;f++)if(void 0!==u[f].yLabelMid){g=u[f];break}for(f=0;f<p.length;f++){var x=f&&p[f-1];g&&!f&&(x=g),y(p[f],x)}}}(v,p),function(t,e){t.each(function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var a=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,a.attr(\"transform\",l.getTextTransform(t.transform));var i=t.cxFinal+t.pxmid[0],s=t.cyFinal+t.pxmid[1],c=\"M\"+i+\",\"+s,u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var h=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(h)>Math.abs(f)?c+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(i+t.labelExtraX+u):c+=\"l\"+t.labelExtraX+\",\"+h+\"v\"+(f-h)+\"h\"+u}else c+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+u;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:c,fill:\"none\"})}else r.select(\"path.textline\").remove()})}(g,p),x&&p.automargin){var w=s.bBox(u.node()),k=p.domain,T=i.w*(k.x[1]-k.x[0]),M=i.h*(k.y[1]-k.y[0]),A=(.5*T-f.r)/i.w,L=(.5*M-f.r)/i.h;a.autoMargin(t,\"pie.\"+p.uid+\".automargin\",{xl:k.x[0]-A,xr:k.x[1]+A,yb:k.y[0]-L,yt:k.y[1]+L,l:Math.max(f.cx-f.r-w.left,0),r:Math.max(w.right-(f.cx+f.r),0),b:Math.max(w.bottom-(f.cy+f.r),0),t:Math.max(f.cy-f.r-w.top,0),pad:5})}})});setTimeout(function(){u.selectAll(\"tspan\").each(function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))})},0)},formatSliceLabel:z,transformInsideText:b,determineInsideTextFont:y,positionTitleOutside:E,prerenderTitles:x,layoutAreas:P,attachFxHandlers:m,computeTransform:I}},{\"../../components/color\":591,\"../../components/drawing\":612,\"../../components/fx\":630,\"../../lib\":717,\"../../lib/svg_text_utils\":741,\"../../plots/plots\":826,\"../bar/constants\":858,\"../bar/uniform_text\":872,\"./event_data\":1098,\"./helpers\":1099,d3:165}],1104:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"./style_one\"),i=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");i(t,e,\"pie\"),e.each(function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each(function(t){n.select(this).call(a,t,e)})})}},{\"../bar/uniform_text\":872,\"./style_one\":1105,d3:165}],1105:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),a=t(\"./helpers\").castOption;e.exports=function(t,e,r){var i=r.marker.line,o=a(i.color,e.pts)||n.defaultLine,s=a(i.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":591,\"./helpers\":1099}],1106:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":1120}],1107:[function(t,e,r){\"use strict\";var n=t(\"gl-pointcloud2d\"),a=t(\"../../lib/str2rgbarray\"),i=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,h=this.pickXYData=t.xy,f=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(h){if(n=h,e=h.length>>>1,f)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new 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n=t(\"../../plots/font_attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../components/color/attributes\"),o=t(\"../../components/fx/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../../plots/template_attributes\").hovertemplateAttrs,c=t(\"../../components/colorscale/attributes\"),u=t(\"../../plot_api/plot_template\").templatedArray,h=t(\"../../lib/extend\").extendFlat,f=t(\"../../plot_api/edit_types\").overrideAll;t(\"../../constants/docs\").FORMAT_LINK;(e.exports=f({hoverinfo:h({},a.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:\"sankey\",trace:!0}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\"},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({}),customdata:void 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f={_id:\"x\",c2p:u.identity,_offset:r._sankey.translateX,_length:r._sankey.width},p={_id:\"y\",c2p:u.identity,_offset:r._sankey.translateY,_length:r._sankey.height},d={gd:t,element:o.node(),plotinfo:{id:e,xaxis:f,yaxis:p,fillRangeItems:u.noop},subplot:e,xaxes:[f],yaxes:[p],doneFnCompleted:function(r){var n,a=t._fullData[e],i=a.node.groups.slice(),o=[];function s(t){for(var e=a._sankey.graph.nodes,r=0;r<e.length;r++)if(e[r].pointNumber===t)return e[r]}for(var l=0;l<r.length;l++){var c=s(r[l].pointNumber);if(c)if(c.group){for(var u=0;u<c.childrenNodes.length;u++)o.push(c.childrenNodes[u].pointNumber);i[c.pointNumber-a.node._count]=!1}else o.push(c.pointNumber)}n=i.filter(Boolean).concat([o]),h.call(\"_guiRestyle\",t,{\"node.groups\":[n]},e)},prepFn:function(t,e,r){c(t,e,r,d,a)}};l.init(d)}}r.name=\"sankey\",r.baseLayoutAttrOverrides=n({hoverlabel:o.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){var e=a(t.calcdata,\"sankey\")[0];i(t,e),r.updateFx(t)},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"sankey\"),i=e._has&&e._has(\"sankey\");a&&!i&&(n._paperdiv.selectAll(\".sankey\").remove(),n._paperdiv.selectAll(\".bgsankey\").remove())},r.updateFx=function(t){for(var e=0;e<t._fullData.length;e++)f(t,e)}},{\"../../components/dragelement\":609,\"../../components/fx/layout_attributes\":631,\"../../lib\":717,\"../../lib/setcursor\":737,\"../../plot_api/edit_types\":748,\"../../plots/cartesian/select\":782,\"../../plots/get_data\":800,\"../../registry\":846,\"./plot\":1116}],1112:[function(t,e,r){\"use strict\";var n=t(\"strongly-connected-components\"),a=t(\"../../lib\"),i=t(\"../../lib/gup\").wrap,o=a.isArrayOrTypedArray,s=a.isIndex,l=t(\"../../components/colorscale\");function c(t){var e,r=t.node,i=t.link,c=[],u=o(i.color),h=o(i.customdata),f={},p={},d=i.colorscales.length;for(e=0;e<d;e++){var g=i.colorscales[e],v=l.extractScale(g,{cLetter:\"c\"}),m=l.makeColorScaleFunc(v);p[g.label]=m}var y=0;for(e=0;e<i.value.length;e++)i.source[e]>y&&(y=i.source[e]),i.target[e]>y&&(y=i.target[e]);var x,b=y+1;t.node._count=b;var _=t.node.groups,w={};for(e=0;e<_.length;e++){var k=_[e];for(x=0;x<k.length;x++){var T=k[x],M=b+e;w.hasOwnProperty(T)?a.warn(\"Node \"+T+\" is already part of a group.\"):w[T]=M}}var A={source:[],target:[]};for(e=0;e<i.value.length;e++){var S=i.value[e],E=i.source[e],L=i.target[e];if(S>0&&s(E,b)&&s(L,b)&&(!w.hasOwnProperty(E)||!w.hasOwnProperty(L)||w[E]!==w[L])){w.hasOwnProperty(L)&&(L=w[L]),w.hasOwnProperty(E)&&(E=w[E]),L=+L,f[E=+E]=f[L]=!0;var C=\"\";i.label&&i.label[e]&&(C=i.label[e]);var P=null;C&&p.hasOwnProperty(C)&&(P=p[C]),c.push({pointNumber:e,label:C,color:u?i.color[e]:i.color,customdata:h?i.customdata[e]:i.customdata,concentrationscale:P,source:E,target:L,value:+S}),A.source.push(E),A.target.push(L)}}var O=b+_.length,z=o(r.color),I=o(r.customdata),D=[];for(e=0;e<O;e++)if(f[e]){var R=r.label[e];D.push({group:e>b-1,childrenNodes:[],pointNumber:e,label:R,color:z?r.color[e]:r.color,customdata:I?r.customdata[e]:r.customdata})}var F=!1;return function(t,e,r){for(var i=a.init2dArray(t,0),o=0;o<Math.min(e.length,r.length);o++)if(a.isIndex(e[o],t)&&a.isIndex(r[o],t)){if(e[o]===r[o])return!0;i[e[o]].push(r[o])}return n(i).components.some(function(t){return t.length>1})}(O,A.source,A.target)&&(F=!0),{circular:F,links:c,nodes:D,groups:_,groupLookup:w}}e.exports=function(t,e){var r=c(e);return i({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},{\"../../components/colorscale\":603,\"../../lib\":717,\"../../lib/gup\":715,\"strongly-connected-components\":528}],1113:[function(t,e,r){\"use 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y=i.loneHover({x0:d,x1:g,y:v,name:n.format(a.valueFormat)(a.node.value)+a.valueSuffix,text:[a.node.label,T+a.node.targetLinks.length,M+a.node.sourceLinks.length].filter(u).join(\"<br>\"),color:b(o,\"bgcolor\")||a.tinyColorHue,borderColor:b(o,\"bordercolor\"),fontFamily:b(o,\"font.family\"),fontSize:b(o,\"font.size\"),fontColor:b(o,\"font.color\"),nameLength:b(o,\"namelength\"),textAlign:b(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:m,eventData:[a.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});f(y,.85),p(y)}}},unhover:function(e,a,o){!1!==t._fullLayout.hovermode&&(n.select(e).call(m,a,o),\"skip\"!==a.node.trace.node.hoverinfo&&(a.node.fullData=a.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[a.node]})),i.loneUnhover(r._hoverlayer.node()))},select:function(e,r,a){var o=r.node;o.originalEvent=n.event,t._hoverdata=[o],n.select(e).call(m,r,a),i.click(t,{target:!0})}}})}},{\"../../components/color\":591,\"../../components/fx\":630,\"../../lib\":717,\"./constants\":1113,\"./render\":1117,d3:165}],1117:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"d3\"),i=t(\"tinycolor2\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"@plotly/d3-sankey\"),c=t(\"@plotly/d3-sankey-circular\"),u=t(\"d3-force\"),h=t(\"../../lib\"),f=t(\"../../lib/gup\"),p=f.keyFun,d=f.repeat,g=f.unwrap,v=t(\"d3-interpolate\").interpolateNumber,m=t(\"../../registry\");function y(){var t=.5;return function(e){if(e.link.circular)return r=e.link,n=r.width/2,a=r.circularPathData,\"top\"===r.circularLinkType?\"M \"+a.targetX+\" \"+(a.targetY+n)+\" L\"+a.rightInnerExtent+\" \"+(a.targetY+n)+\"A\"+(a.rightLargeArcRadius+n)+\" \"+(a.rightSmallArcRadius+n)+\" 0 0 1 \"+(a.rightFullExtent-n)+\" \"+(a.targetY-a.rightSmallArcRadius)+\"L\"+(a.rightFullExtent-n)+\" \"+a.verticalRightInnerExtent+\"A\"+(a.rightLargeArcRadius+n)+\" \"+(a.rightLargeArcRadius+n)+\" 0 0 1 \"+a.rightInnerExtent+\" \"+(a.verticalFullExtent-n)+\"L\"+a.leftInnerExtent+\" \"+(a.verticalFullExtent-n)+\"A\"+(a.leftLargeArcRadius+n)+\" \"+(a.leftLargeArcRadius+n)+\" 0 0 1 \"+(a.leftFullExtent+n)+\" \"+a.verticalLeftInnerExtent+\"L\"+(a.leftFullExtent+n)+\" \"+(a.sourceY-a.leftSmallArcRadius)+\"A\"+(a.leftLargeArcRadius+n)+\" \"+(a.leftSmallArcRadius+n)+\" 0 0 1 \"+a.leftInnerExtent+\" \"+(a.sourceY+n)+\"L\"+a.sourceX+\" \"+(a.sourceY+n)+\"L\"+a.sourceX+\" \"+(a.sourceY-n)+\"L\"+a.leftInnerExtent+\" \"+(a.sourceY-n)+\"A\"+(a.leftLargeArcRadius-n)+\" \"+(a.leftSmallArcRadius-n)+\" 0 0 0 \"+(a.leftFullExtent-n)+\" \"+(a.sourceY-a.leftSmallArcRadius)+\"L\"+(a.leftFullExtent-n)+\" \"+a.verticalLeftInnerExtent+\"A\"+(a.leftLargeArcRadius-n)+\" \"+(a.leftLargeArcRadius-n)+\" 0 0 0 \"+a.leftInnerExtent+\" \"+(a.verticalFullExtent+n)+\"L\"+a.rightInnerExtent+\" \"+(a.verticalFullExtent+n)+\"A\"+(a.rightLargeArcRadius-n)+\" \"+(a.rightLargeArcRadius-n)+\" 0 0 0 \"+(a.rightFullExtent+n)+\" \"+a.verticalRightInnerExtent+\"L\"+(a.rightFullExtent+n)+\" \"+(a.targetY-a.rightSmallArcRadius)+\"A\"+(a.rightLargeArcRadius-n)+\" \"+(a.rightSmallArcRadius-n)+\" 0 0 0 \"+a.rightInnerExtent+\" \"+(a.targetY-n)+\"L\"+a.targetX+\" \"+(a.targetY-n)+\"Z\":\"M \"+a.targetX+\" \"+(a.targetY-n)+\" L\"+a.rightInnerExtent+\" \"+(a.targetY-n)+\"A\"+(a.rightLargeArcRadius+n)+\" \"+(a.rightSmallArcRadius+n)+\" 0 0 0 \"+(a.rightFullExtent-n)+\" \"+(a.targetY+a.rightSmallArcRadius)+\"L\"+(a.rightFullExtent-n)+\" \"+a.verticalRightInnerExtent+\"A\"+(a.rightLargeArcRadius+n)+\" \"+(a.rightLargeArcRadius+n)+\" 0 0 0 \"+a.rightInnerExtent+\" \"+(a.verticalFullExtent+n)+\"L\"+a.leftInnerExtent+\" \"+(a.verticalFullExtent+n)+\"A\"+(a.leftLargeArcRadius+n)+\" \"+(a.leftLargeArcRadius+n)+\" 0 0 0 \"+(a.leftFullExtent+n)+\" \"+a.verticalLeftInnerExtent+\"L\"+(a.leftFullExtent+n)+\" \"+(a.sourceY+a.leftSmallArcRadius)+\"A\"+(a.leftLargeArcRadius+n)+\" \"+(a.leftSmallArcRadius+n)+\" 0 0 0 \"+a.leftInnerExtent+\" \"+(a.sourceY-n)+\"L\"+a.sourceX+\" \"+(a.sourceY-n)+\"L\"+a.sourceX+\" \"+(a.sourceY+n)+\"L\"+a.leftInnerExtent+\" \"+(a.sourceY+n)+\"A\"+(a.leftLargeArcRadius-n)+\" \"+(a.leftSmallArcRadius-n)+\" 0 0 1 \"+(a.leftFullExtent-n)+\" \"+(a.sourceY+a.leftSmallArcRadius)+\"L\"+(a.leftFullExtent-n)+\" \"+a.verticalLeftInnerExtent+\"A\"+(a.leftLargeArcRadius-n)+\" \"+(a.leftLargeArcRadius-n)+\" 0 0 1 \"+a.leftInnerExtent+\" \"+(a.verticalFullExtent-n)+\"L\"+a.rightInnerExtent+\" \"+(a.verticalFullExtent-n)+\"A\"+(a.rightLargeArcRadius-n)+\" \"+(a.rightLargeArcRadius-n)+\" 0 0 1 \"+(a.rightFullExtent+n)+\" \"+a.verticalRightInnerExtent+\"L\"+(a.rightFullExtent+n)+\" \"+(a.targetY+a.rightSmallArcRadius)+\"A\"+(a.rightLargeArcRadius-n)+\" \"+(a.rightSmallArcRadius-n)+\" 0 0 1 \"+a.rightInnerExtent+\" \"+(a.targetY+n)+\"L\"+a.targetX+\" \"+(a.targetY+n)+\"Z\";var r,n,a,i=e.link.source.x1,o=e.link.target.x0,s=v(i,o),l=s(t),c=s(1-t),u=e.link.y0-e.link.width/2,h=e.link.y0+e.link.width/2,f=e.link.y1-e.link.width/2,p=e.link.y1+e.link.width/2;return\"M\"+i+\",\"+u+\"C\"+l+\",\"+u+\" \"+c+\",\"+f+\" \"+o+\",\"+f+\"L\"+o+\",\"+p+\"C\"+c+\",\"+p+\" \"+l+\",\"+h+\" \"+i+\",\"+h+\"Z\"}}function x(t){t.attr(\"transform\",function(t){return\"translate(\"+t.node.x0.toFixed(3)+\", \"+t.node.y0.toFixed(3)+\")\"})}function b(t){t.call(x)}function _(t,e){t.call(b),e.attr(\"d\",y())}function w(t){t.attr(\"width\",function(t){return t.node.x1-t.node.x0}).attr(\"height\",function(t){return t.visibleHeight})}function k(t){return t.link.width>1||t.linkLineWidth>0}function T(t){return\"translate(\"+t.translateX+\",\"+t.translateY+\")\"+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function M(t){return\"translate(\"+(t.horizontal?0:t.labelY)+\" \"+(t.horizontal?t.labelY:0)+\")\"}function 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P(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])}).on(\"mousemove.basic\",function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])}).on(\"mouseout.basic\",function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)}).on(\"click.basic\",function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)})}function O(t,e,r,i){var o=a.behavior.drag().origin(function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}}).on(\"dragstart\",function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",function(t){i._fullLayout._dragCover=t}),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,I(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,a){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var i=r.graph.nodes.filter(function(t){return t.originalX===r.node.originalX}).filter(function(t){return!t.partOfGroup});r.forceLayouts[e]=u.forceSimulation(i).alphaDecay(0).force(\"collide\",u.forceCollide().radius(function(t){return t.dy/2+r.nodePad/2}).strength(1).iterations(n.forceIterations)).force(\"constrain\",function(t,e,r,a){return function(){for(var t=0,i=0;i<r.length;i++){var o=r[i];o===a.interactionState.dragInProgress?(o.x=o.lastDraggedX,o.y=o.lastDraggedY):(o.vx=(o.originalX-o.x)/n.forceTicksPerFrame,o.y=Math.min(a.size-o.dy/2,Math.max(o.dy/2,o.y))),t=Math.max(t,Math.abs(o.vx),Math.abs(o.vy))}!a.interactionState.dragInProgress&&t<.1&&a.forceLayouts[e].alpha()>0&&a.forceLayouts[e].alpha(0)}}(0,e,i,r)).stop()}(0,o,a),function(t,e,r,a,i){window.requestAnimationFrame(function o(){var s;for(s=0;s<n.forceTicksPerFrame;s++)r.forceLayouts[a].tick();var l=r.graph.nodes;if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(l),r.sankey.update(r.graph),_(t.filter(D(r)),e),r.forceLayouts[a].alpha()>0)window.requestAnimationFrame(o);else{var 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i=(t.graph.nodes[a].x0+t.graph.nodes[a].x1)/2,o=(t.graph.nodes[a].y0+t.graph.nodes[a].y1)/2;r.push(i/t.figure.width),n.push(o/t.figure.height)}m.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then(function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()})}function I(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function D(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,u,f){var v=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",function(){v=!0});var m=t._fullLayout._dragCover,b=r.filter(function(t){return g(t).trace.visible}).map(function(t,e,r){var a,o=g(e),s=o.trace,u=s.domain,f=\"h\"===s.orientation,p=s.node.pad,d=s.node.thickness,v=t.width*(u.x[1]-u.x[0]),m=t.height*(u.y[1]-u.y[0]),y=o._nodes,x=o._links,b=o.circular;(a=b?c.sankeyCircular().circularLinkGap(0):l.sankey()).iterations(n.sankeyIterations).size(f?[v,m]:[m,v]).nodeWidth(d).nodePadding(p).nodeId(function(t){return t.pointNumber}).nodes(y).links(x);var _,w,k,T=a();for(var M in a.nodePadding()<p&&h.warn(\"node.pad was reduced to \",a.nodePadding(),\" to fit within the figure.\"),o._groupLookup){var A,S=parseInt(o._groupLookup[M]);for(_=0;_<T.nodes.length;_++)if(T.nodes[_].pointNumber===S){A=T.nodes[_];break}if(A){var E={pointNumber:parseInt(M),x0:A.x0,x1:A.x1,y0:A.y0,y1:A.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};T.nodes.unshift(E),A.childrenNodes.unshift(E)}}if(function(){for(_=0;_<T.nodes.length;_++){var t,e,r=T.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var a=Object.keys(n);for(w=0;w<a.length;w++){var o=n[t=a[w]],s=0,l={};for(k=0;k<o.length;k++)l[(e=o[k]).label]||(l[e.label]=0),l[e.label]+=e.value,s+=e.value;for(k=0;k<o.length;k++)(e=o[k]).flow={value:s,labelConcentration:l[e.label]/s,concentration:e.value/s,links:o},e.concentrationscale&&(e.color=i(e.concentrationscale(e.flow.labelConcentration)))}var c=0;for(w=0;w<r.sourceLinks.length;w++)c+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/c;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),s.node.x.length&&s.node.y.length){for(_=0;_<Math.min(s.node.x.length,s.node.y.length,T.nodes.length);_++)if(s.node.x[_]&&s.node.y[_]){var L=[s.node.x[_]*v,s.node.y[_]*m];T.nodes[_].x0=L[0]-d/2,T.nodes[_].x1=L[0]+d/2;var C=T.nodes[_].y1-T.nodes[_].y0;T.nodes[_].y0=L[1]-C/2,T.nodes[_].y1=L[1]+C/2}\"snap\"===s.arrangement&&function(t){t.forEach(function(t){var e,r,n,a=0,i=t.length;for(t.sort(function(t,e){return t.y0-e.y0}),n=0;n<i;++n)(e=t[n]).y0>=a||(r=a-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),a=e.y1+p})}(function(t){var e,r,n=t.map(function(t,e){return{x0:t.x0,index:e}}).sort(function(t,e){return t.x0-e.x0}),a=[],i=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(i+=1,e=s.x0),o=s.x0,a[i]||(a[i]=[]),a[i].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return a}(y=T.nodes)),a.update(T)}return{circular:b,key:r,trace:s,guid:h.randstr(),horizontal:f,width:v,height:m,nodePad:s.node.pad,nodeLineColor:s.node.line.color,nodeLineWidth:s.node.line.width,linkLineColor:s.link.line.color,linkLineWidth:s.link.line.width,valueFormat:s.valueformat,valueSuffix:s.valuesuffix,textFont:s.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?m:v,dragPerpendicular:f?v:m,arrangement:s.arrangement,sankey:a,graph:T,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}.bind(null,u)),_=e.selectAll(\".\"+n.cn.sankey).data(b,p);_.exit().remove(),_.enter().append(\"g\").classed(n.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").attr(\"transform\",T),_.each(function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})}),_.transition().ease(n.ease).duration(n.duration).attr(\"transform\",T);var z=_.selectAll(\".\"+n.cn.sankeyLinks).data(d,p);z.enter().append(\"g\").classed(n.cn.sankeyLinks,!0).style(\"fill\",\"none\");var I=z.selectAll(\".\"+n.cn.sankeyLink).data(function(t){return t.graph.links.filter(function(t){return t.value}).map(function(t,e,r){var n=i(e.color),a=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:o.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:y,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}.bind(null,t))},p);I.enter().append(\"path\").classed(n.cn.sankeyLink,!0).call(P,_,f.linkEvents),I.style(\"stroke\",function(t){return k(t)?o.tinyRGB(i(t.linkLineColor)):t.tinyColorHue}).style(\"stroke-opacity\",function(t){return k(t)?o.opacity(t.linkLineColor):t.tinyColorAlpha}).style(\"fill\",function(t){return t.tinyColorHue}).style(\"fill-opacity\",function(t){return t.tinyColorAlpha}).style(\"stroke-width\",function(t){return k(t)?t.linkLineWidth:1}).attr(\"d\",y()),I.style(\"opacity\",function(){return 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c=e._length,u=t._fullLayout,h=r._id,f=n._id,p=u._firstScatter[d(e)]===e.uid,v=(g(e,u,r,n)||{}).orientation,m=e.fill;r._minDtick=0,n._minDtick=0;var y={padded:!0},x={padded:!0};l&&(y.ppad=x.ppad=l);var b=c<2||a[0]!==a[c-1]||o[0]!==o[c-1];b&&(\"tozerox\"===m||\"tonextx\"===m&&(p||\"h\"===v))?y.tozero=!0:(e.error_y||{}).visible||\"tonexty\"!==m&&\"tozeroy\"!==m&&(s.hasMarkers(e)||s.hasText(e))||(y.padded=!1,y.ppad=0),b&&(\"tozeroy\"===m||\"tonexty\"===m&&(p||\"v\"===v))?x.tozero=!0:\"tonextx\"!==m&&\"tozerox\"!==m||(x.padded=!1),h&&(e._extremes[h]=i.findExtremes(r,a,y)),f&&(e._extremes[f]=i.findExtremes(n,o,x))}function f(t,e){if(s.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r=\"area\"===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},a.isArrayOrTypedArray(n.size)){var l={type:\"linear\"};i.setConvert(l);for(var c=l.makeCalcdata(t.marker,\"size\"),u=new Array(e),h=0;h<e;h++)u[h]=r(c[h]);return u}return r(n.size)}}function p(t,e){var r=d(e),n=t._firstScatter;n[r]||(n[r]=e.uid)}function d(t){var e=t.stackgroup;return t.xaxis+t.yaxis+t.type+(e?\"-\"+e:\"\")}function g(t,e,r,n){var a=t.stackgroup;if(a){var i=e._scatterStackOpts[r._id+n._id][a],o=\"v\"===i.orientation?n:r;return\"linear\"===o.type||\"log\"===o.type?i:void 0}}e.exports={calc:function(t,e){var r,s,d,v,m,y,x=t._fullLayout,b=i.getFromId(t,e.xaxis||\"x\"),_=i.getFromId(t,e.yaxis||\"y\"),w=b.makeCalcdata(e,\"x\"),k=_.makeCalcdata(e,\"y\"),T=e._length,M=new Array(T),A=e.ids,S=g(e,x,b,_),E=!1;p(x,e);var L,C=\"x\",P=\"y\";for(S?(a.pushUnique(S.traceIndices,e._expandedIndex),(r=\"v\"===S.orientation)?(P=\"s\",L=\"x\"):(C=\"s\",L=\"y\"),m=\"interpolate\"===S.stackgaps):h(t,e,b,_,w,k,f(e,T)),s=0;s<T;s++){var 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n=t(\"../../lib\");e.exports=function(t,e){n.isArrayOrTypedArray(e.selectedpoints)&&n.tagSelected(t,e)}},{\"../../lib\":717}],1123:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/calc\"),i=t(\"./subtypes\");e.exports=function(t,e){i.hasLines(e)&&n(e,\"line\")&&a(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),i.hasMarkers(e)&&(n(e,\"marker\")&&a(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&a(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}))}},{\"../../components/colorscale/calc\":599,\"../../components/colorscale/helpers\":602,\"./subtypes\":1144}],1124:[function(t,e,r){\"use strict\";e.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},{}],1125:[function(t,e,r){\"use strict\";var n=t(\"./calc\");function a(t,e,r,n,a,i,o){a[n]=!0;var 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d=t.opacity;if(t.marker&&t.marker.opacity&&(d*=t.marker.opacity),r={gl:this.scene.glplot.gl,position:p.position,color:p.scatterColor,size:p.scatterSize,glyph:p.scatterMarker,opacity:d,orthographic:!0,lineWidth:p.scatterLineWidth,lineColor:p.scatterLineColor,project:p.project,projectScale:p.projectScale,projectOpacity:p.projectOpacity},-1!==this.mode.indexOf(\"markers\")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=a(r),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),c={gl:this.scene.glplot.gl,position:p.position,glyph:p.text,color:p.textColor,size:p.textSize,angle:p.textAngle,alignment:p.textOffset,font:p.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=t.hovertext||t.text,-1!==this.mode.indexOf(\"text\")?this.textMarkers?this.textMarkers.update(c):(this.textMarkers=a(c),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),l={gl:this.scene.glplot.gl,position:p.position,color:p.errorColor,error:p.errorBounds,lineWidth:p.errorLineWidth,capSize:p.errorCapSize,opacity:t.opacity},this.errorBars?p.errorBounds?this.errorBars.update(l):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):p.errorBounds&&(this.errorBars=i(l),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),p.delaunayAxis>=0){var g=function(t,e,r){var n,a=(r+1)%3,i=(r+2)%3,o=[],l=[];for(n=0;n<t.length;++n){var c=t[n];!isNaN(c[a])&&isFinite(c[a])&&!isNaN(c[i])&&isFinite(c[i])&&(o.push([c[a],c[i]]),l.push(n))}var u=s(o);for(n=0;n<u.length;++n)for(var h=u[n],f=0;f<h.length;++f)h[f]=l[h[f]];return{positions:t,cells:u,meshColor:e}}(p.position,p.delaunayColor,p.delaunayAxis);g.opacity=t.opacity,this.delaunayMesh?this.delaunayMesh.update(g):(g.gl=u,this.delaunayMesh=o(g),this.delaunayMesh._trace=this,this.scene.glplot.add(this.delaunayMesh))}else this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null)},y.dispose=function(){this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&&(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose())},e.exports=function(t,e){var r=new m(t,e.uid);return r.update(e),r}},{\"../../components/fx/helpers\":626,\"../../constants/gl3d_dashes\":690,\"../../constants/gl3d_markers\":691,\"../../lib\":717,\"../../lib/gl_format_color\":714,\"../../lib/str2rgbarray\":740,\"../../plots/cartesian/axes\":765,\"../scatter/make_bubble_size_func\":1137,\"./calc_errors\":1149,\"delaunay-triangulate\":167,\"gl-error3d\":250,\"gl-line3d\":258,\"gl-mesh3d\":283,\"gl-scatter3d\":300}],1151:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/text_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function h(r,n){return a.coerce(t,e,c,r,n)}if(function(t,e,r,a){var i=0,o=r(\"x\"),s=r(\"y\"),l=r(\"z\");n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],a),o&&s&&l&&(i=Math.min(o.length,s.length,l.length),e._length=e._xlength=e._ylength=e._zlength=i);return i}(t,e,h,u)){h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),i.hasLines(e)&&(h(\"connectgaps\"),s(t,e,r,u,h)),i.hasMarkers(e)&&o(t,e,r,u,h,{noSelect:!0}),i.hasText(e)&&(h(\"texttemplate\"),l(t,e,u,h,{noSelect:!0}));var f=(e.line||{}).color,p=(e.marker||{}).color;h(\"surfaceaxis\")>=0&&h(\"surfacecolor\",f||p);for(var d=[\"x\",\"y\",\"z\"],g=0;g<3;++g){var v=\"projection.\"+d[g];h(v+\".show\")&&(h(v+\".opacity\"),h(v+\".scale\"))}var m=n.getComponentMethod(\"errorbars\",\"supplyDefaults\");m(t,e,f||p||r,{axis:\"z\"}),m(t,e,f||p||r,{axis:\"y\",inherit:\"z\"}),m(t,e,f||p||r,{axis:\"x\",inherit:\"z\"})}else e.visible=!1}},{\"../../lib\":717,\"../../registry\":846,\"../scatter/line_defaults\":1133,\"../scatter/marker_defaults\":1139,\"../scatter/subtypes\":1144,\"../scatter/text_defaults\":1145,\"./attributes\":1147}],1152:[function(t,e,r){\"use strict\";e.exports={plot:t(\"./convert\"),attributes:t(\"./attributes\"),markerSymbols:t(\"../../constants/gl3d_markers\"),supplyDefaults:t(\"./defaults\"),colorbar:[{container:\"marker\",min:\"cmin\",max:\"cmax\"},{container:\"line\",min:\"cmin\",max:\"cmax\"}],calc:t(\"./calc\"),moduleType:\"trace\",name:\"scatter3d\",basePlotModule:t(\"../../plots/gl3d\"),categories:[\"gl3d\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},{\"../../constants/gl3d_markers\":691,\"../../plots/gl3d\":805,\"./attributes\":1147,\"./calc\":1148,\"./convert\":1150,\"./defaults\":1151}],1153:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,h=c.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:h.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},a.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:i()}},{\"../../components/colorscale/attributes\":598,\"../../lib/extend\":708,\"../../plots/attributes\":762,\"../../plots/template_attributes\":841,\"../scatter/attributes\":1120}],1154:[function(t,e,r){\"use 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n=t(\"../../lib\"),a=t(\"../scatter/constants\"),i=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function p(r,a){return n.coerce(t,e,h,r,a)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),v=Math.min(d.length,g.length);if(v){e._length=v,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",v<a.PTS_LINESONLY?\"lines+markers\":\"lines\"),i.hasLines(e)&&(s(t,e,r,f,p),l(t,e,p),p(\"connectgaps\")),i.hasMarkers(e)&&o(t,e,r,f,p,{gradient:!0}),i.hasText(e)&&c(t,e,f,p);var m=[];(i.hasMarkers(e)||i.hasText(e))&&(p(\"marker.maxdisplayed\"),m.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),i.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||m.push(\"fills\"),\"fills\"!==p(\"hoveron\",m.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":717,\"../scatter/constants\":1124,\"../scatter/fillcolor_defaults\":1128,\"../scatter/line_defaults\":1133,\"../scatter/line_shape_defaults\":1135,\"../scatter/marker_defaults\":1139,\"../scatter/subtypes\":1144,\"../scatter/text_defaults\":1145,\"./attributes\":1153}],1156:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){var i=n[a];return t.a=i.a,t.b=i.b,t.y=i.y,t}},{}],1157:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,a=n.ab2ij([t.a,t.b]),i=Math.floor(a[0]),o=a[0]-i,s=Math.floor(a[1]),l=a[1]-s,c=n.evalxy([],i,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],1158:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\"),a=t(\"../../lib\").fillText;e.exports=function(t,e,r,i){var o=n(t,e,r,i);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,h=c-u;return s.x0=Math.max(Math.min(s.x0,h),u),s.x1=Math.max(Math.min(s.x1,h),u),o}var f=s.cd[s.index];s.a=f.a,s.b=f.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,g=p._module.formatLabels(f,p);s.yLabel=g.yLabel,delete s.text;var v=[];if(!p.hovertemplate){var m=(f.hi||p.hoverinfo).split(\"+\");-1!==m.indexOf(\"all\")&&(m=[\"a\",\"b\",\"text\"]),-1!==m.indexOf(\"a\")&&y(d.aaxis,f.a),-1!==m.indexOf(\"b\")&&y(d.baxis,f.b),v.push(\"y: \"+s.yLabel),-1!==m.indexOf(\"text\")&&a(f,p,v),s.extraText=v.join(\"<br>\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,v.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},{\"../../lib\":717,\"../scatter/hover\":1131}],1159:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../scatter/select\"),eventData:t(\"./event_data\"),moduleType:\"trace\",name:\"scattercarpet\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"svg\",\"carpet\",\"symbols\",\"showLegend\",\"carpetDependent\",\"zoomScale\"],meta:{}}},{\"../../plots/cartesian\":776,\"../scatter/marker_colorbar\":1138,\"../scatter/select\":1141,\"../scatter/style\":1143,\"./attributes\":1153,\"./calc\":1154,\"./defaults\":1155,\"./event_data\":1156,\"./format_labels\":1157,\"./hover\":1158,\"./plot\":1160}],1160:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../components/drawing\");e.exports=function(t,e,r,o){var s,l,c,u=r[0][0].carpet,h={xaxis:a.getFromId(t,u.xaxis||\"x\"),yaxis:a.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,h,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),i.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":612,\"../../plots/cartesian/axes\":765,\"../scatter/plot\":1140}],1161:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,h=i.marker,f=i.line,p=h.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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a={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(a.textfont,r.textfont),n=y(t,a)}return n}function w(t,e){var r={capSize:2*e.width,lineWidth:e.thickness,color:e.color};return e.copy_ystyle&&(r=t.error_y),r}var k=d.SYMBOL_SDF_SIZE,T=d.SYMBOL_SIZE,M=d.SYMBOL_STROKE,A={},S=l.symbolFuncs[0](.05*T);function E(t){if(\"circle\"===t)return null;var e,r,n=l.symbolNumber(t),i=l.symbolFuncs[n%100],o=!!l.symbolNoDot[n%100],s=!!l.symbolNoFill[n%100],c=p.isDotSymbol(t);return A[t]?A[t]:(e=c&&!o?i(1.1*T)+S:i(T),r=a(e,{w:k,h:k,viewBox:[-T,-T,T,T],stroke:s?M:-M}),A[t]=r,r||null)}e.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0};if(!0!==e.visible)return n;if(h.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),h.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=g*a[r]}if(h.hasLines(e)){n.line={overlay:!0,thickness:e.line.width,color:e.line.color,opacity:e.opacity};var i=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<i.length;++r)i[r]*=e.line.width;n.line.dashes=i}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,a,i=r.length,o=i/2;if(h.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a+2],r[2*a+1]));n.push(r[i-2],r[i-1])}else if(\"hvh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var s=(r[2*a]+r[2*a+2])/2;n.push(r[2*a],r[2*a+1],s,r[2*a+1],s,r[2*a+3])}n.push(r[i-2],r[i-1])}else if(\"vhv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var l=(r[2*a+1]+r[2*a+3])/2;n.push(r[2*a],r[2*a+1],r[2*a],l,r[2*a+2],l)}n.push(r[i-2],r[i-1])}else if(\"vh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+3]));n.push(r[i-2],r[i-1])}else n=r;var c=!1;for(a=0;a<n.length;a++)if(isNaN(n[a])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS?\"rect\":h.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var f=n[0],p=n[1];for(a=0;a<n.length;a+=2)isNaN(n[a])||isNaN(n[a+1])?(n[a]=f,n[a+1]=p):(f=n[a],p=n[a+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,a,i){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),h=r.length/2,f={};function p(t,a){var i=a._id.charAt(0),o=e[\"error_\"+i];if(o&&o.visible&&(\"linear\"===a.type||\"log\"===a.type)){for(var l=s(o),c={x:0,y:1}[i],u={x:[0,1,2,3],y:[2,3,0,1]}[i],p=new Float64Array(4*h),d=1/0,g=-1/0,v=0,m=0;v<h;v++,m+=4){var y=t[v];if(n(y)){var x=r[2*v+c],b=l(y,v),_=b[0],w=b[1];if(n(_)&&n(w)){var k=y-_,T=y+w;p[m+u[0]]=x-a.c2l(k),p[m+u[1]]=a.c2l(T)-x,p[m+u[2]]=0,p[m+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}f[i]={positions:r,errors:p,_bnds:[d,g]}}}return p(a,l),p(i,u),f},textPosition:function(t,e,r,n){var a,i=e._length,o={};if(h.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(i),a=0;a<i;a++){var u=n.sizes?n.sizes[a]:n.size,f=Array.isArray(s)?s[a].size:s.size,p=Array.isArray(l)?l.length>1?l[a]:l[0]:l,d=Array.isArray(c)?c.length>1?c[a]:c[0]:c,g=v[p],m=v[d],y=u?u/.8+1:0,x=-m*y-.5*m;o.offset[a]=[g*y/f,x/f]}}return o}}},{\"../../components/drawing\":612,\"../../components/fx/helpers\":626,\"../../constants/interactions\":692,\"../../lib\":717,\"../../lib/gl_format_color\":714,\"../../plots/cartesian/axis_ids\":768,\"../../registry\":846,\"../scatter/make_bubble_size_func\":1137,\"../scatter/subtypes\":1144,\"./constants\":1173,\"./helpers\":1178,\"color-normalize\":122,\"fast-isnumeric\":228,\"svg-path-sdf\":533}],1175:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../registry\"),i=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),f=t(\"../scatter/fillcolor_defaults\"),p=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,d){function g(r,a){return n.coerce(t,e,o,r,a)}var v=!!t.marker&&i.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),y=c(t,e,d,g);if(y){var x=y<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",x),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,d,g),g(\"line.shape\")),l.hasMarkers(e)&&(u(t,e,r,d,g),g(\"marker.line.width\",v||m?1:0)),l.hasText(e)&&(g(\"texttemplate\"),p(t,e,d,g));var b=(e.line||{}).color,_=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&f(t,e,r,g);var w=a.getComponentMethod(\"errorbars\",\"supplyDefaults\");w(t,e,b||_||r,{axis:\"y\"}),w(t,e,b||_||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":717,\"../../registry\":846,\"../scatter/constants\":1124,\"../scatter/fillcolor_defaults\":1128,\"../scatter/line_defaults\":1133,\"../scatter/marker_defaults\":1139,\"../scatter/subtypes\":1144,\"../scatter/text_defaults\":1145,\"../scatter/xy_defaults\":1146,\"./attributes\":1171,\"./helpers\":1178}],1176:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/color\"),i=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,h=c.selectBatch[u],f=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},v=n.extendFlat({},p);if(h.length||f.length){var m=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(v.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],v.color[r]=m||(b?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var _=b?x[r]:x;v.color[r]=y||(m?_:a.addOpacity(_,i))}}c.glText[u].update(v)}}},{\"../../components/color\":591,\"../../constants/interactions\":692,\"../../lib\":717}],1177:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var a=t.i;return\"x\"in t||(t.x=e._x[a]),\"y\"in t||(t.y=e._y[a]),n(t,e,r)}},{\"../scatter/format_labels\":1129}],1178:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":1173}],1179:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,h=t.index,f={pointNumber:h,x:e[h],y:r[h]};f.tx=Array.isArray(o.text)?o.text[h]:o.text,f.htx=Array.isArray(o.hovertext)?o.hovertext[h]:o.hovertext,f.data=Array.isArray(o.customdata)?o.customdata[h]:o.customdata,f.tp=Array.isArray(o.textposition)?o.textposition[h]:o.textposition;var p=o.textfont;p&&(f.ts=a.isArrayOrTypedArray(p.size)?p.size[h]:p.size,f.tc=Array.isArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family);var d=o.marker;d&&(f.ms=a.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=a.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=a.isArrayOrTypedArray(d.symbol)?d.symbol[h]:d.symbol,f.mc=a.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var g=d&&d.line;g&&(f.mlc=Array.isArray(g.color)?g.color[h]:g.color,f.mlw=a.isArrayOrTypedArray(g.width)?g.width[h]:g.width);var v=d&&d.gradient;v&&\"none\"!==v.type&&(f.mgt=Array.isArray(v.type)?v.type[h]:v.type,f.mgc=Array.isArray(v.color)?v.color[h]:v.color);var m=s.c2p(f.x,!0),y=l.c2p(f.y,!0),x=f.mrc||1,b=o.hoverlabel;b&&(f.hbg=Array.isArray(b.bgcolor)?b.bgcolor[h]:b.bgcolor,f.hbc=Array.isArray(b.bordercolor)?b.bordercolor[h]:b.bordercolor,f.hts=a.isArrayOrTypedArray(b.font.size)?b.font.size[h]:b.font.size,f.htc=Array.isArray(b.font.color)?b.font.color[h]:b.font.color,f.htf=Array.isArray(b.font.family)?b.font.family[h]:b.font.family,f.hnl=a.isArrayOrTypedArray(b.namelength)?b.namelength[h]:b.namelength);var _=o.hoverinfo;_&&(f.hi=Array.isArray(_)?_[h]:_);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var k={};k[t.index]=f;var T=a.extendFlat({},t,{color:i(o,f),x0:m-x,x1:m+x,xLabelVal:f.x,y0:y-x,y1:y+x,yLabelVal:f.y,cd:k,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?T.text=f.htx:f.tx?T.text=f.tx:o.text&&(T.text=o.text),a.fillText(f,o,T),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(f,o,T),T}e.exports={hoverPoints:function(t,e,r,n){var a,i,s,l,c,u,h,f,p,d=t.cd,g=d[0].t,v=d[0].trace,m=t.xa,y=t.ya,x=g.x,b=g.y,_=m.c2p(e),w=y.c2p(r),k=t.distance;if(g.tree){var T=m.p2c(_-k),M=m.p2c(_+k),A=y.p2c(w-k),S=y.p2c(w+k);a=\"x\"===n?g.tree.range(Math.min(T,M),Math.min(y._rl[0],y._rl[1]),Math.max(T,M),Math.max(y._rl[0],y._rl[1])):g.tree.range(Math.min(T,M),Math.min(A,S),Math.max(T,M),Math.max(A,S))}else a=g.ids;var E=k;if(\"x\"===n)for(c=0;c<a.length;c++)s=x[a[c]],(u=Math.abs(m.c2p(s)-_))<E&&(E=u,h=y.c2p(b[a[c]])-w,p=Math.sqrt(u*u+h*h),i=a[c]);else for(c=a.length-1;c>-1;c--)s=x[a[c]],l=b[a[c]],u=m.c2p(s)-_,h=y.c2p(l)-w,(f=Math.sqrt(u*u+h*h))<E&&(E=p=f,i=a[c]);return t.index=i,t.distance=E,t.dxy=p,void 0===i?[t]:[o(t,x,b,v)]},calcHover:o}},{\"../../lib\":717,\"../../registry\":846,\"../scatter/get_trace_color\":1130}],1180:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":776,\"../scatter/cross_trace_defaults\":1126,\"../scatter/marker_colorbar\":1138,\"./attributes\":1171,\"./calc\":1172,\"./defaults\":1175,\"./format_labels\":1177,\"./hover\":1179,\"./plot\":1181,\"./select\":1183}],1181:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),a=t(\"regl-line2d\"),i=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../lib/prepare_regl\"),c=t(\"../scatter/subtypes\"),u=t(\"../scatter/link_traces\"),h=t(\"./edit_style\").styleTextSelection;function f(t,e,r){var n=t._size,a=t.width,i=t.height;return[n.l+e.domain[0]*n.w,n.b+r.domain[0]*n.h,a-n.r-(1-e.domain[1])*n.w,i-n.t-(1-r.domain[1])*n.h]}e.exports=function(t,e,r){if(r.length){var p,d,g=t._fullLayout,v=e._scene,m=e.xaxis,y=e.yaxis;if(v)if(l(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var x=v.count,b=g._glcanvas.data()[0].regl;if(u(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=i(b)),!0===v.line2d&&(v.line2d=a(b)),!0===v.scatter2d&&(v.scatter2d=n(b)),!0===v.fill2d&&(v.fill2d=a(b)),!0===v.glText)for(v.glText=new Array(x),p=0;p<x;p++)v.glText[p]=new o(b);if(v.glText){if(x>v.glText.length){var _=x-v.glText.length;for(p=0;p<_;p++)v.glText.push(new o(b))}else if(x<v.glText.length){var w=v.glText.length-x;v.glText.splice(x,w).forEach(function(t){t.destroy()})}for(p=0;p<x;p++)v.glText[p].update(v.textOptions[p])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map(function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t}),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,x),v.fill2d&&(v.fillOptions=v.fillOptions.map(function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var a,i,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var h,f,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(h=0;h<d.length&&isNaN(d[h+1]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f+1]);)f-=2;0!==d[h+1]&&(p=[d[h],0]),p=p.concat(d.slice(h,f+2)),0!==d[f+1]&&(p=p.concat([d[f],0]))}else if(\"tozerox\"===s.fill){for(h=0;h<d.length&&isNaN(d[h]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f]);)f-=2;0!==d[h]&&(p=[0,d[h+1]]),p=p.concat(d.slice(h,f+2)),0!==d[f]&&(p=p.concat([0,d[f+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],a=0,i=0;i<d.length;i+=2)(isNaN(d[i])||isNaN(d[i+1]))&&((p=p.concat(d.slice(a,i))).push(d[a],d[a+1]),a=i+2);p=p.concat(d.slice(a)),a&&p.push(d[a],d[a+1])}else{var g=s._nexttrace;if(g){var m=v.lineOptions[e+1];if(m){var y=m.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var 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t=r.count,e=r.fill2d,a=r.error2d,i=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,h=0;h<t;h++){if(e&&r.fillOrder[h]&&e.draw(r.fillOrder[h]),i&&r.lineOptions[h]&&i.draw(h),a&&(r.errorXOptions[h]&&a.draw(h),r.errorYOptions[h]&&a.draw(h+t)),o&&r.markerOptions[h])if(u[h].length){var f=n.repeat([],r.count);f[h]=u[h],o.draw(f)}else 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i;var p=n.hasText(o),d=n.hasMarkers(o),g=!d&&!p;if(!0!==o.visible||g)return i;var v=[],m=[];if(!1!==e&&!e.degenerate)for(var y=0;y<l;y++)e.contains([s.xpx[y],s.ypx[y]],!1,y,t)?(v.push(y),i.push({pointNumber:y,x:c[y],y:u[y]})):m.push(y);if(d){var x=h.scatter2d;if(v.length||m.length){if(!h.selectBatch[f].length&&!h.unselectBatch[f].length){var b=new Array(h.count);b[f]=h.markerUnselectedOptions[f],x.update.apply(x,b)}}else{var _=new Array(h.count);_[f]=h.markerOptions[f],x.update.apply(x,_)}}return h.selectBatch[f]=v,h.unselectBatch[f]=m,p&&a(r),i}},{\"../scatter/subtypes\":1144,\"./edit_style\":1176}],1184:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,h=t(\"../../plot_api/edit_types\").overrideAll,f=i.line,p=i.marker;e.exports=h({lon:i.lon,lat:i.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:a({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:f.color,width:f.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:i.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":598,\"../../lib/extend\":708,\"../../plot_api/edit_types\":748,\"../../plots/attributes\":762,\"../../plots/mapbox/layout_attributes\":822,\"../../plots/template_attributes\":841,\"../scatter/attributes\":1120,\"../scattergeo/attributes\":1161}],1185:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"../../constants/numerical\").BADNUM,o=t(\"../../lib/geojson_utils\"),s=t(\"../../components/colorscale\"),l=t(\"../../components/drawing\"),c=t(\"../scatter/make_bubble_size_func\"),u=t(\"../scatter/subtypes\"),h=t(\"../../plots/mapbox/convert_text_opts\"),f=t(\"../../components/fx/helpers\").appendArrayPointValue,p=t(\"../../lib/svg_text_utils\").NEWLINES,d=t(\"../../lib/svg_text_utils\").BR_TAG_ALL;function g(){return{geojson:o.makeBlank(),layout:{visibility:\"none\"},paint:{}}}function v(t){return a.isArrayOrTypedArray(t)?function(t){return t}:t?function(){return t}:m}function m(){return\"\"}function y(t){return t[0]===i}e.exports=function(t,e){var r,i=e[0].trace,x=!0===i.visible&&0!==i._length,b=\"none\"!==i.fill,_=u.hasLines(i),w=u.hasMarkers(i),k=u.hasText(i),T=w&&\"circle\"===i.marker.symbol,M=w&&\"circle\"!==i.marker.symbol,A=g(),S=g(),E=g(),L=g(),C={fill:A,line:S,circle:E,symbol:L};if(!x)return C;if((b||_)&&(r=o.calcTraceToLineCoords(e)),b&&(A.geojson=o.makePolygon(r),A.layout.visibility=\"visible\",a.extendFlat(A.paint,{\"fill-color\":i.fillcolor})),_&&(S.geojson=o.makeLine(r),S.layout.visibility=\"visible\",a.extendFlat(S.paint,{\"line-width\":i.line.width,\"line-color\":i.line.color,\"line-opacity\":i.opacity})),T){var P=function(t){var e,r,i,o,u=t[0].trace,h=u.marker,f=u.selectedpoints,p=a.isArrayOrTypedArray(h.color),d=a.isArrayOrTypedArray(h.size),g=a.isArrayOrTypedArray(h.opacity);function v(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(h):a.identity);d&&(i=c(u));g&&(o=function(t){var e=n(t)?+a.constrain(t,0,1):0;return v(e)});var m,x=[];for(e=0;e<t.length;e++){var b=t[e],_=b.lonlat;if(!y(_)){var w={};r&&(w.mcc=b.mcc=r(b.mc)),i&&(w.mrc=b.mrc=i(b.ms)),o&&(w.mo=o(b.mo)),f&&(w.selected=b.selected||0),x.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:_},properties:w})}}if(f)for(m=l.makeSelectedPointStyleFns(u),e=0;e<x.length;e++){var k=x[e].properties;m.selectedOpacityFn&&(k.mo=v(m.selectedOpacityFn(k))),m.selectedColorFn&&(k.mcc=m.selectedColorFn(k)),m.selectedSizeFn&&(k.mrc=m.selectedSizeFn(k))}return{geojson:{type:\"FeatureCollection\",features:x},mcc:p||m&&m.selectedColorFn?{type:\"identity\",property:\"mcc\"}:h.color,mrc:d||m&&m.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(T=h.size,T/2),mo:g||m&&m.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:v(h.opacity)};var T}(e);E.geojson=P.geojson,E.layout.visibility=\"visible\",a.extendFlat(E.paint,{\"circle-color\":P.mcc,\"circle-radius\":P.mrc,\"circle-opacity\":P.mo})}if((M||k)&&(L.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,i=(n.marker||{}).symbol,o=\"circle\"!==i?v(i):m,s=u.hasText(n)?v(n.text):m,l=[],c=0;c<t.length;c++){var h=t[c];if(!y(h.lonlat)){var g,x=n.texttemplate;if(x){var b=Array.isArray(x)?x[c]||\"\":x,_=n._module.formatLabels(h,n,r),w={};f(w,n,h.i);var k=n._meta||{};g=a.texttemplateString(b,_,r._d3locale,w,h,k)}else g=s(h.tx);g&&(g=g.replace(p,\"\").replace(d,\"\\n\")),l.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:h.lonlat},properties:{symbol:o(h.mx),text:g}})}}return{type:\"FeatureCollection\",features:l}}(e,t),a.extendFlat(L.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),M&&(a.extendFlat(L.layout,{\"icon-size\":i.marker.size/10}),a.extendFlat(L.paint,{\"icon-opacity\":i.opacity*i.marker.opacity,\"icon-color\":i.marker.color})),k)){var O=(i.marker||{}).size,z=h(i.textposition,O);a.extendFlat(L.layout,{\"text-size\":i.textfont.size,\"text-anchor\":z.anchor,\"text-offset\":z.offset}),a.extendFlat(L.paint,{\"text-color\":i.textfont.color,\"text-opacity\":i.opacity})}return C}},{\"../../components/colorscale\":603,\"../../components/drawing\":612,\"../../components/fx/helpers\":626,\"../../constants/numerical\":693,\"../../lib\":717,\"../../lib/geojson_utils\":712,\"../../lib/svg_text_utils\":741,\"../../plots/mapbox/convert_text_opts\":819,\"../scatter/make_bubble_size_func\":1137,\"../scatter/subtypes\":1144,\"fast-isnumeric\":228}],1186:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),i=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function h(r,a){return n.coerce(t,e,c,r,a)}if(function(t,e,r){var n=r(\"lon\")||[],a=r(\"lat\")||[],i=Math.min(n.length,a.length);return e._length=i,i}(0,e,h)){if(h(\"text\"),h(\"texttemplate\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),h(\"below\"),a.hasLines(e)&&(o(t,e,r,u,h,{noDash:!0}),h(\"connectgaps\")),a.hasMarkers(e)){i(t,e,r,u,h,{noLine:!0});var f=e.marker;\"circle\"!==f.symbol&&(n.isArrayOrTypedArray(f.size)&&(f.size=f.size[0]),n.isArrayOrTypedArray(f.color)&&(f.color=f.color[0]))}a.hasText(e)&&s(t,e,u,h,{noSelect:!0}),h(\"fill\"),\"none\"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)}else e.visible=!1}},{\"../../lib\":717,\"../scatter/fillcolor_defaults\":1128,\"../scatter/line_defaults\":1133,\"../scatter/marker_defaults\":1139,\"../scatter/subtypes\":1144,\"../scatter/text_defaults\":1145,\"./attributes\":1184}],1187:[function(t,e,r){\"use strict\";e.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},{}],1188:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var a={},i=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return a.lonLabel=n.tickText(i,i.c2l(o[0]),!0).text,a.latLabel=n.tickText(i,i.c2l(o[1]),!0).text,a}},{\"../../plots/cartesian/axes\":765}],1189:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx\"),a=t(\"../../lib\"),i=t(\"../scatter/get_trace_color\"),o=a.fillText,s=t(\"../../constants/numerical\").BADNUM;e.exports=function(t,e,r){var l=t.cd,c=l[0].trace,u=t.xa,h=t.ya,f=t.subplot,p=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),d=e-p;if(n.getClosest(l,function(t){var e=t.lonlat;if(e[0]===s)return 1/0;var n=a.modHalf(e[0],360),i=e[1],o=f.project([n,i]),l=o.x-u.c2p([d,i]),c=o.y-h.c2p([n,r]),p=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-p,1-3/p)},t),!1!==t.index){var g=l[t.index],v=g.lonlat,m=[a.modHalf(v[0],360)+p,v[1]],y=u.c2p(m),x=h.c2p(m),b=g.mrc||1;t.x0=y-b,t.x1=y+b,t.y0=x-b,t.y1=x+b;var _={};_[c.subplot]={_subplot:f};var w=c._module.formatLabels(g,c,_);return t.lonLabel=w.lonLabel,t.latLabel=w.latLabel,t.color=i(c,g),t.extraText=function(t,e,r){if(t.hovertemplate)return;var n=(e.hi||t.hoverinfo).split(\"+\"),a=-1!==n.indexOf(\"all\"),i=-1!==n.indexOf(\"lon\"),s=-1!==n.indexOf(\"lat\"),l=e.lonlat,c=[];function u(t){return t+\"\\xb0\"}a||i&&s?c.push(\"(\"+u(l[0])+\", \"+u(l[1])+\")\"):i?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1]));(a||-1!==n.indexOf(\"text\"))&&o(e,t,c);return c.join(\"<br>\")}(c,g,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{\"../../components/fx\":630,\"../../constants/numerical\":693,\"../../lib\":717,\"../scatter/get_trace_color\":1130}],1190:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"../scattergeo/calc\"),plot:t(\"./plot\"),hoverPoints:t(\"./hover\"),eventData:t(\"./event_data\"),selectPoints:t(\"./select\"),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.update(e)},moduleType:\"trace\",name:\"scattermapbox\",basePlotModule:t(\"../../plots/mapbox\"),categories:[\"mapbox\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},{\"../../plots/mapbox\":820,\"../scatter/marker_colorbar\":1138,\"../scattergeo/calc\":1162,\"./attributes\":1184,\"./defaults\":1186,\"./event_data\":1187,\"./format_labels\":1188,\"./hover\":1189,\"./plot\":1191,\"./select\":1192}],1191:[function(t,e,r){\"use strict\";var n=t(\"./convert\"),a=t(\"../../plots/mapbox/constants\").traceLayerPrefix,i=[\"fill\",\"line\",\"circle\",\"symbol\"];function 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n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../mesh3d/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),showlegend:s({},o.showlegend,{dflt:!1})};s(l,n(\"\",{colorAttr:\"u/v/w 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e,r,a,i,s,l,c,u,h,f,p,d,g=t._x,v=t._y,m=t._z,y=t._len,x=-1/0,b=1/0,_=-1/0,w=1/0,k=-1/0,T=1/0,M=\"\";for(y&&(c=g[0],h=v[0],p=m[0]),y>1&&(u=g[y-1],f=v[y-1],d=m[y-1]),e=0;e<y;e++)x=Math.max(x,g[e]),b=Math.min(b,g[e]),_=Math.max(_,v[e]),w=Math.min(w,v[e]),k=Math.max(k,m[e]),T=Math.min(T,m[e]),i||g[e]===c||(i=!0,M+=\"x\"),s||v[e]===h||(s=!0,M+=\"y\"),l||m[e]===p||(l=!0,M+=\"z\");i||(M+=\"x\"),s||(M+=\"y\"),l||(M+=\"z\");var A=o(t._x),S=o(t._y),E=o(t._z);M=(M=(M=M.replace(\"x\",(c>u?\"-\":\"+\")+\"x\")).replace(\"y\",(h>f?\"-\":\"+\")+\"y\")).replace(\"z\",(p>d?\"-\":\"+\")+\"z\");var L=function(){y=0,A=[],S=[],E=[]};(!y||y<A.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?g:\"y\"===t?v:m},P=function(t){return\"x\"===t?A:\"y\"===t?S:E},O=function(t){return t[y-1]<t[0]?-1:1},z=C(M[1]),I=C(M[3]),D=C(M[5]),R=P(M[1]).length,F=P(M[3]).length,B=P(M[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},V=O(C(M[1])),U=O(C(M[3])),q=O(C(M[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(a=0;a<R-1;a++){var H=j(e,r,a),G=j(e,r,a+1),Y=j(e,r+1,a),W=j(e+1,r,a);if(z[H]*V<z[G]*V&&I[H]*U<I[Y]*U&&D[H]*q<D[W]*q||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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m=n[u];r.xMax=Math.max(r.xMax,m),r.xMin=Math.min(r.xMin,m);var y=o[u];r.yMax=Math.max(r.yMax,y),r.yMin=Math.min(r.yMin,y);var x=l[u];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=c,e._normMax=h,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:i}},{\"../../components/colorscale/calc\":599,\"../../lib\":717}],1228:[function(t,e,r){\"use strict\";var n=t(\"gl-streamtube3d\"),a=n.createTubeMesh,i=t(\"../../lib\"),o=t(\"../../lib/gl_format_color\").parseColorScale,s=t(\"../../components/colorscale\").extractOpts,l=t(\"../../plots/gl3d/zip3\"),c={xaxis:0,yaxis:1,zaxis:2};function u(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var h=u.prototype;function f(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,a=t.dataScale,u=e._len,h={};function d(t,e){var n=r[e],o=a[c[e]];return 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O.lightPosition=[I.x,I.y,I.z],O.ambient=e.lighting.ambient,O.diffuse=e.lighting.diffuse,O.specular=e.lighting.specular,O.roughness=e.lighting.roughness,O.fresnel=e.lighting.fresnel,O.opacity=e.opacity,e._pad=O.tubeScale*e.sizeref*2,O}h.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var a=e[n],i=r[c[n]];return a.l2c(t)/i}if(t.object===this.mesh){var a=t.data.position,i=t.data.velocity;return t.traceCoordinate=[n(a[0],\"xaxis\"),n(a[1],\"yaxis\"),n(a[2],\"zaxis\"),n(i[0],\"xaxis\"),n(i[1],\"yaxis\"),n(i[2],\"zaxis\"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},h.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),i=a(r,n),o=new u(t,e.uid);return 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t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},{\"../../plots/gl3d\":805,\"./attributes\":1226,\"./calc\":1227,\"./convert\":1228,\"./defaults\":1229}],1231:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../pie/attributes\"),c=t(\"./constants\"),u=t(\"../../lib/extend\").extendFlat;e.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:u({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}r.plot=function(t,e,r,a){var i,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,h=!s.uniformtext.mode&&y.hasTransition(r);(u(\"sunburst\",s),(i=l.selectAll(\"g.trace.sunburst\").data(e,function(t){return t[0].trace.uid})).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),i.order(),h)?(a&&(o=a()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",function(){o&&o()}).each(\"interrupt\",function(){o&&o()}).each(function(){l.selectAll(\"g.trace\").each(function(e){x(t,e,this,r)})})):(i.each(function(e){x(t,e,this,r)}),s.uniformtext.mode&&g(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\"));c&&i.exit().remove()},r.formatSliceLabel=function(t,e,r,n,a){var i=r.texttemplate,s=r.textinfo;if(!(i||s&&\"none\"!==s))return\"\";var l=a.separators,c=n[0],u=t.data.data,h=c.hierarchy,f=y.isHierarchyRoot(t),p=y.getParent(h,t),d=y.getValue(t);if(!i){var g,v=s.split(\"+\"),m=function(t){return-1!==v.indexOf(t)},x=[];if(m(\"label\")&&u.label&&x.push(u.label),u.hasOwnProperty(\"v\")&&m(\"value\")&&x.push(y.formatValue(u.v,l)),!f){m(\"current path\")&&x.push(y.getPath(t.data));var b=0;m(\"percent parent\")&&b++,m(\"percent entry\")&&b++,m(\"percent root\")&&b++;var _=b>1;if(b){var w,k=function(t){g=y.formatPercent(w,l),_&&(g+=\" of \"+t),x.push(g)};m(\"percent parent\")&&!f&&(w=d/y.getValue(p),k(\"parent\")),m(\"percent entry\")&&(w=d/y.getValue(e),k(\"entry\")),m(\"percent root\")&&(w=d/y.getValue(h),k(\"root\"))}}return m(\"text\")&&(g=o.castOption(r,u.i,\"text\"),o.isValidTextValue(g)&&x.push(g)),x.join(\"<br>\")}var T=o.castOption(r,u.i,\"texttemplate\");if(!T)return\"\";var M={};u.label&&(M.label=u.label),u.hasOwnProperty(\"v\")&&(M.value=u.v,M.valueLabel=y.formatValue(u.v,l)),M.currentPath=y.getPath(t.data),f||(M.percentParent=d/y.getValue(p),M.percentParentLabel=y.formatPercent(M.percentParent,l),M.parent=y.getPtLabel(p)),M.percentEntry=d/y.getValue(e),M.percentEntryLabel=y.formatPercent(M.percentEntry,l),M.entry=y.getPtLabel(e),M.percentRoot=d/y.getValue(h),M.percentRootLabel=y.formatPercent(M.percentRoot,l),M.root=y.getPtLabel(h),u.hasOwnProperty(\"color\")&&(M.color=u.color);var A=o.castOption(r,u.i,\"text\");return(o.isValidTextValue(A)||\"\"===A)&&(M.text=A),M.customdata=o.castOption(r,u.i,\"customdata\"),o.texttemplateString(T,M,a._d3locale,M,r._meta||{})}},{\"../../components/drawing\":612,\"../../lib\":717,\"../../lib/svg_text_utils\":741,\"../bar/style\":870,\"../bar/uniform_text\":872,\"../pie/plot\":1103,\"./constants\":1234,\"./fx\":1236,\"./helpers\":1237,\"./style\":1242,d3:165,\"d3-hierarchy\":159}],1242:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../components/color\"),i=t(\"../../lib\"),o=t(\"../bar/uniform_text\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=i.castOption(r,s,\"marker.line.color\")||a.defaultLine,c=i.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(a.fill,n.color).call(a.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each(function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each(function(t){n.select(this).call(s,t,r)})})},styleOne:s}},{\"../../components/color\":591,\"../../lib\":717,\"../bar/uniform_text\":872,d3:165}],1243:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),a=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var u=e.exports=l(s({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:i(),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},a(\"\",{colorAttr:\"z or 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0},{\"../../components/color\":591,\"../../components/colorscale/attributes\":598,\"../../lib/extend\":708,\"../../plot_api/edit_types\":748,\"../../plots/attributes\":762,\"../../plots/template_attributes\":841}],1244:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":599}],1245:[function(t,e,r){\"use strict\";var n=t(\"gl-surface3d\"),a=t(\"ndarray\"),i=t(\"ndarray-homography\"),o=t(\"ndarray-fill\"),s=t(\"../../lib\").isArrayOrTypedArray,l=t(\"../../lib/gl_format_color\").parseColorScale,c=t(\"../../lib/str2rgbarray\"),u=t(\"../../components/colorscale\").extractOpts,h=t(\"../heatmap/interp2d\"),f=t(\"../heatmap/find_empties\");function p(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var d=p.prototype;d.getXat=function(t,e,r,n){var a=s(this.data.x)?s(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?a:n.d2l(a,0,r)},d.getYat=function(t,e,r,n){var a=s(this.data.y)?s(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?a:n.d2l(a,0,r)},d.getZat=function(t,e,r,n){var a=this.data.z[e][t];return null===a&&this.data.connectgaps&&this.data._interpolatedZ&&(a=this.data._interpolatedZ[e][t]),void 0===r?a:n.d2l(a,0,r)},d.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),a=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,a],t.traceCoordinate=[this.getXat(n,a),this.getYat(n,a),this.getZat(n,a)],t.dataCoordinate=[this.getXat(n,a,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,a,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,a,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var i=0;i<3;i++){var o=t.dataCoordinate[i];null!=o&&(t.dataCoordinate[i]*=this.scene.dataScale[i])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[a]&&void 0!==s[a][n]?t.textLabel=s[a][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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v(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function m(t){for(var e=[],r=0;r<g.length;r++){var n=g[r];e.push(v(t,n))}return e}function y(t){for(var e=m(t),r=t,n=0;n<g.length;n++)if(e[n]>0){r=g[n];break}return r}function x(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),a=1,i=0;i<g.length;i++)a*=Math.pow(g[i],Math.max(r[i],n[i]));return a}}d.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),a=this.getXat(e,0);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r},d.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),a=this.getYat(0,e);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r};var b=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],_=b[9],w=b[13];function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}d.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=x(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<_;)r*=2;for(;r>w;)r--,r/=y(r),++r<_&&(r=w);var n=Math.round(r/t);return n>1?n:1},d.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],o=t[0].shape[1],s=0|Math.floor(t[0].shape[0]*e+1),l=0|Math.floor(t[0].shape[1]*r+1),c=1+n+1,u=1+o+1,h=a(new Float32Array(c*u),[c,u]),f=0;f<t.length;++f){this.surface.padField(h,t[f]);var p=a(new Float32Array(s*l),[s,l]);i(p,h,[e,0,0,0,r,0,0,0,1]),t[f]=p}},d.setContourLevels=function(){var 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n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../../components/colorscale/attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../pie/attributes\"),l=t(\"../sunburst/attributes\"),c=t(\"./constants\"),u=t(\"../../lib/extend\").extendFlat;e.exports={labels:l.labels,parents:l.parents,values:l.values,branchvalues:l.branchvalues,count:l.count,level:l.level,maxdepth:l.maxdepth,tiling:{packing:{valType:\"enumerated\",values:[\"squarify\",\"binary\",\"dice\",\"slice\",\"slice-dice\",\"dice-slice\"],dflt:\"squarify\",editType:\"plot\"},squarifyratio:{valType:\"number\",min:1,dflt:1,editType:\"plot\"},flip:{valType:\"flaglist\",flags:[\"x\",\"y\"],dflt:\"\",editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:3,editType:\"plot\"},editType:\"calc\"},marker:u({pad:{t:{valType:\"number\",min:0,editType:\"plot\"},l:{valType:\"number\",min:0,editType:\"plot\"},r:{valType:\"number\",min:0,editType:\"plot\"},b:{valType:\"number\",min:0,editType:\"plot\"},editType:\"calc\"},colors:l.marker.colors,depthfade:{valType:\"enumerated\",values:[!0,!1,\"reversed\"],editType:\"style\"},line:l.marker.line,editType:\"calc\"},i(\"marker\",{colorAttr:\"colors\",anim:!1})),pathbar:{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},side:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},edgeshape:{valType:\"enumerated\",values:[\">\",\"<\",\"|\",\"/\",\"\\\\\"],dflt:\">\",editType:\"plot\"},thickness:{valType:\"number\",min:12,editType:\"plot\"},textfont:u({},s.textfont,{}),editType:\"calc\"},text:s.text,textinfo:l.textinfo,texttemplate:a({editType:\"plot\"},{keys:c.eventDataKeys.concat([\"label\",\"value\"])}),hovertext:s.hovertext,hoverinfo:l.hoverinfo,hovertemplate:n({},{keys:c.eventDataKeys}),textfont:s.textfont,insidetextfont:s.insidetextfont,outsidetextfont:u({},s.outsidetextfont,{}),textposition:{valType:\"enumerated\",values:[\"top 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       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })\n",
       "                };\n",
       "                });\n",
       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = px.bar(dom, 'topico', 'domina', color='domina',\n",
    "             title=\"Proporción de documentos con tópico 'n' como más probable\")\n",
    "\n",
    "fig.update_layout(title_x=0.5)\n",
    "fig.write_html(file=str(graficas.joinpath('prevalencia.html')), auto_open=False)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Distancia entre tópicos de un modelo\n",
    "\n",
    "A veces se puede necesitar saber qué tan diferentes son entre ellos los tópicos de un modelo. El resultado puede ser usado para graficar la distancia, posiblemente usando un heatmap donde cada celda representaría la distancia entre dos tópicos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
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       "                            \n",
       "var gd = document.getElementById('09c8da39-959b-4be7-8d1d-f134ce50d345');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
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       "\n",
       "// Listen for the removal of the full notebook cells\n",
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       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "diff, annos = modelo.diff(modelo, distance=\"hellinger\", annotation=True)\n",
    "\n",
    "labels = list(range(modelo.num_topics))\n",
    "\n",
    "fig = go.Figure(data=go.Heatmap(z=diff, x=labels, y=labels, xgap=1, ygap=1),)\n",
    "fig.update_layout(title_text=\"Distancia entre tópicos\", title_x=0.5)\n",
    "fig.write_html(file=str(graficas.joinpath('distancia.html')), auto_open=False)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualización PyLDAvis (opcional)\n",
    "\n",
    "En análisis de tópicos se suele usar PyLDAvis para visualizar resultados de un modelo.\n",
    "\n",
    "La visualización es muy útil para entender la diferencia entre tópicos (distancia entre los círculos de la gráfica en costado izquierdo), prevalencia de cada tópico (tamaño de cada círculo), y el contenido de cada tópico (palabras más probables desplegadas en costado derecho para cada círculo).\n",
    "\n",
    "El único \"*pero*\" es que suele generar advertencias de uso \"obsoleto\" (DeprecationWarning).\n",
    "\n",
    "**Nota:** *La numeración de tópicos en `PyLDAVIS` comienza en 1, de tal forma que la información de tópico 1 en la gráfica corresponde al tópico 0 en el modelo.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "import pyLDAvis\n",
    "import pyLDAvis.gensim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "\n",
       "\n",
       "<div id=\"ldavis_el278069788361763870149307\"></div>\n",
       "<script type=\"text/javascript\">\n",
       "\n",
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\"ahorro\", \"ahorro\", \"ahorro\", \"ahorro\", \"ahorro\", \"ajustes\", \"alimentos\", \"alza\", \"alza\", \"alza\", \"alzas\", \"am\\u00e9rica_latina\", \"analizados\", \"analizar\", \"an\\u00e1lisis\", \"an\\u00e1lisis\", \"an\\u00e1lisis\", \"aprecia\", \"asciende\", \"atl\", \"aumento\", \"aumento\", \"aumento\", \"aumento\", \"aumentos\", \"aumentos\", \"aumentos\", \"aument\\u00f3\", \"autoriza\", \"autorizada\", \"aversi\\u00f3n_riesgo\", \"baja\", \"baja\", \"baja\", \"baja\", \"baja\", \"banco_puente\", \"banco_rep\\u00fablica\", \"banco_rep\\u00fablica\", \"banco_rep\\u00fablica\", \"banco_rep\\u00fablica\", \"banco_rep\\u00fablica\", \"bancos\", \"bancos_comerciales\", \"bogot\\u00e1\", \"bonos\", \"cabe_resaltar\", \"calcula\", \"calificaciones\", \"calificaci\\u00f3n\", \"canales\", \"capacidad\", \"capacidad\", \"caracter\\u00edsticas\", \"carga_financiera\", \"cartera\", \"cartera\", \"cartera_comercial\", \"cartera_consumo\", \"cartera_riesgosa\", \"cartera_vivienda\", \"categor\\u00eda\", \"ca\\u00edda\", \"ca\\u00edda\", \"ca\\u00edda\", \"ca\\u00edda\", \"cdt\", \"cfi\", \"china\", \"choques\", \"choques\", \"cifras\", \"cifras\", \"cifras\", \"colombia\", \"colombia\", \"colombia\", \"combustibles\", \"comercial\", \"comercio\", \"comisiones\", \"comparaci\\u00f3n\", \"comparaci\\u00f3n\", \"comportamiento\", \"comportamiento\", \"comportamiento\", \"comportamiento\", \"comportamiento_explicado\", \"composici\\u00f3n\", \"concentraci\\u00f3n\", \"concentran\", \"condici\\u00f3n\", \"confianza\", \"confianza\", \"consecuencia\", \"consecuencia\", \"consecuencia\", \"consecuencia\", \"consecuencia\", \"consecuencia\", \"consideran_elementos\", \"considerando\", \"constituci\\u00f3n\", \"constituci\\u00f3n\", \"construcci\\u00f3n\", \"consumo\", \"consumo\", \"consumo_hogares\", \"contexto\", \"contexto\", \"contexto\", \"contexto\", \"contin\\u00faa\", \"contin\\u00faa\", \"contin\\u00faa\", \"contracci\\u00f3n\", \"contribuci\\u00f3n\", \"correspondientes\", \"corrido\", \"corrido\", \"corrido\", \"corrido\", \"corriente\", \"cosechas\", \"costos\", \"costos\", \"costos\", \"cotizaci\\u00f3n\", \"creaci\\u00f3n\", \"crecieron\", \"crecimiento\", \"crecimiento\", \"crecimiento\", \"crecimiento_econ\\u00f3mico\", \"crecimiento_econ\\u00f3mico\", \"crecimiento_econ\\u00f3mico\", \"crecimientos\", \"creci\\u00f3\", \"crisis\", \"cr\\u00e9dito\", \"cr\\u00e9dito\", \"cr\\u00e9dito\", \"cr\\u00e9dito\", \"cr\\u00e9dito\", \"cr\\u00e9ditos\", \"cr\\u00e9ditos\", \"cr\\u00e9ditos_comerciales\", \"cuotas\", \"c\\u00e1lculo_rentabilidad_m\\u00ednima\", \"dane\", \"dane\", \"deber\\u00e1\", \"decreto\", \"decreto_establece\", \"define\", \"define\", \"demanda\", \"demanda\", \"demanda\", \"demanda_interna\", \"depreciaci\\u00f3n\", \"depreciaci\\u00f3n_tasa_cambio\", \"dep\\u00f3sitos\", \"dep\\u00f3sitos\", \"dep\\u00f3sitos_t\\u00e9rmino\", \"dep\\u00f3sitos_vista\", \"desaceleraci\\u00f3n\", \"desaceleraci\\u00f3n\", \"desaceleraci\\u00f3n\", \"desaceleraci\\u00f3n_econ\\u00f3mica\", \"desacelerado\", \"desempe\\u00f1o\", \"desempe\\u00f1o\", \"desplazamientos\", \"desvalorizaciones\", \"deterioro\", \"deterioro\", \"deterioro\", \"deterioro_generalizado\", \"deuda\", \"deuda\", \"deuda_externa\", \"deuda_externa\", \"deudores\", \"devaluaci\\u00f3n\", \"devaluaci\\u00f3n\", \"dinamismo\", \"din\\u00e1mica\", \"din\\u00e1mica\", \"disminuci\\u00f3n\", \"disminuci\\u00f3n\", \"disminuy\\u00f3\", \"duraci\\u00f3n\", \"d\\u00e9ficit\", \"d\\u00e9ficit\", \"d\\u00e9ficit_corriente\", \"d\\u00e9ficit_corriente\", \"d\\u00e9ficit_corriente\", \"d\\u00e9ficit_corriente\", \"econom\\u00eda\", \"econom\\u00eda\", \"econom\\u00eda\", \"econom\\u00eda_colombiana\", \"econom\\u00eda_colombiana\", \"econom\\u00eda_colombiana\", \"econom\\u00edas\", \"econom\\u00edas_emergentes\", \"ecopetrol\", \"educaci\\u00f3n\", \"educaci\\u00f3n\", \"efecto\", \"efecto\", \"efecto\", \"efecto\", \"efecto\", \"efecto\", \"efectos\", \"efectos\", \"efectos\", \"efectos\", \"egresos\", \"ejercicio\", \"ejercicios\", \"elaboraci\\u00f3n\", \"electricidad\", \"elementos\", \"emergentes\", \"empresa\", \"empresariales\", \"empresas\", \"empresas\", \"empresas_privadas\", \"encuesta\", \"encuesta\", \"endeudamiento\", \"enfrentan\", \"entidad\", \"entidades\", \"entidades_financieras\", \"equivale\", \"escenario\", \"escenario\", \"escenario_central\", \"escenario_hipot\\u00e9tico\", \"escenario_macroecon\\u00f3mico\", \"especial\", \"especial\", \"especial\", \"especial\", \"especial\", \"espera\", \"espera\", \"espera\", \"estabilidad_financiera\", \"establece\", \"establece\", \"establecer\", \"establecido\", \"establecimientos_cr\\u00e9dito\", \"estados_unidos\", \"evaluar\", \"evaluar\", \"expansi\\u00f3n\", \"expectativas_inflaci\\u00f3n\", \"expectativas_inflaci\\u00f3n\", \"explotaci\\u00f3n_minas_canteras\", \"exportaciones\", \"exportaciones\", \"exposici\\u00f3n\", \"exposici\\u00f3n_riesgo\", \"exposici\\u00f3n_riesgo\", \"exterior\", \"exterior\", \"extranjeros\", \"fcp\", \"fecha\", \"fed\", \"fic\", \"fic\", \"finalizar\", \"financiera\", \"financiera\", \"financiera\", \"firmas\", \"flujos\", \"fondeo\", \"fondo\", \"fondo_nacional\", \"fondos_inversi\\u00f3n_colectiva\", \"gastos\", \"gestor\", \"global\", \"gnc\", \"gobierno\", \"gobierno\", \"gobierno\", \"gobierno\", \"gobierno\", \"gobierno\", \"gobierno_nacional\", \"grupo\", \"grupo\", \"grupo\", \"grupo\", \"hogares\", \"hogares\", \"hogares\", \"icm\", \"icr\", \"identificado\", \"idoneidad\", \"ied\", \"iefic\", \"iei\", \"ifnb\", \"imc\", \"impacto\", \"impacto\", \"impacto_escenario_adverso\", \"importaciones\", \"importante\", \"importante\", \"importante\", \"importante\", \"importante\", \"impulsado\", \"incertidumbre\", \"incremento\", \"incremento\", \"incremento\", \"incremento\", \"incremento\", \"incrementos\", \"incrementos\", \"incrementos\", \"incrementos\", \"indica\", \"indicador\", \"indicador\", \"indicador_calidad\", \"indicadores\", \"indicadores\", \"indicadores\", \"indicadores\", \"indicadores_agregados_solvencia\", \"individual\", \"industria\", \"inferior\", \"inflaci\\u00f3n\", \"inflaci\\u00f3n_b\\u00e1sica\", \"inflaci\\u00f3n_consumidor\", \"informaci\\u00f3n\", \"informaci\\u00f3n\", \"informaci\\u00f3n\", \"informaci\\u00f3n\", \"informaci\\u00f3n\", \"ingreso\", \"ingreso\", \"ingreso\", \"ingreso\", \"ingresos\", \"ingresos\", \"ingresos_netos_intereses\", \"inmobiliario\", \"inmobiliarios\", \"intereses\", \"internacional\", \"internacional\", \"inversiones\", \"inversi\\u00f3n\", \"inversi\\u00f3n\", \"ipc\", \"ipc_alimentos\", \"largo_plazo\", \"largo_plazo\", \"largo_plazo\", \"largo_plazo\", \"largo_plazo\", \"largo_plazo\", \"leasing\", \"legal\", \"legal\", \"leve\", \"levemente\", \"ley\", \"ley\", \"liquidez\", \"liquidez\", \"local\", \"local\", \"local\", \"local\", \"mantener\", \"mantener\", \"manteni\\u00e9ndose\", \"mantienen\", \"mecanismo\", \"mecanismos\", \"mejorado\", \"mejoras\", \"menor\", \"menor\", \"menor\", \"menor\", \"menores_ingresos\", \"mercado\", \"mercado\", \"mercado\", \"mercado\", \"mercado_laboral\", \"mercado_local\", \"mercados\", \"mercados_financieros\", \"meta\", \"metodolog\\u00eda\", \"microcr\\u00e9dito\", \"miner\\u00eda\", \"mitiga\", \"modalidades\", \"modelo\", \"modifica\", \"modificaciones\", \"modific\\u00f3\", \"modific\\u00f3\", \"monto\", \"monto\", \"movimientos\", \"movimientos\", \"muestra\", \"muestra\", \"muestra\", \"mundial\", \"nacional\", \"nacional\", \"nacional\", \"necesario\", \"nivel\", \"nivel\", \"nivel\", \"nivel\", \"niveles\", \"niveles\", \"niveles\", \"normas\", \"normatividad\", \"objetivo\", \"objeto_social\", \"observa\", \"observa\", \"observado\", \"observado\", \"observado\", \"obstante\", \"obstante\", \"obstante\", \"obstante\", \"operaciones\", \"operaciones\", \"operaciones\", \"operaciones\", \"pago\", \"pago\", \"panel\", \"paneles\", \"participaci\\u00f3n\", \"particular\", \"particular\", \"particular\", \"particular\", \"pasando\", \"pasar\", \"pasivos\", \"pas\\u00f3\", \"patrimonio\", \"patrimonio_t\\u00e9cnico\", \"percepci\\u00f3n_materializaci\\u00f3n_riesgo\", \"percepci\\u00f3n_riesgo\", \"permite\", \"permite\", \"permite\", \"permite\", \"personas\", \"perspectivas\", \"pib\", \"pib\", \"pol\\u00edtica\", \"pol\\u00edtica\", \"pol\\u00edtica_monetaria\", \"porcentaje_pib\", \"portafolio\", \"portafolio\", \"portafolio\", \"posiciones\", \"positivo\", \"precio\", \"precio\", \"precio_petr\\u00f3leo\", \"precios\", \"precios_alimentos\", \"presenta_continuaci\\u00f3n_divide\", \"presentado\", \"presentado\", \"presentado\", \"presentaron\", \"presentaron\", \"presentaron\", \"present\\u00f3\", \"present\\u00f3\", \"presiones\", \"presiones_alcistas\", \"prev\\u00e9\", \"primas_riesgo\", \"privada\", \"privada\", \"producci\\u00f3n\", \"profesional\", \"programa\", \"promedio\", \"promedios_hist\\u00f3ricos\", \"pron\\u00f3stico\", \"pron\\u00f3sticos\", \"pron\\u00f3sticos\", \"pron\\u00f3sticos\", \"proporci\\u00f3n_pib\", \"proveedores\", \"provienen\", \"p\\u00fablico\", \"p\\u00fablico\", \"p\\u00fablico\", \"real\", \"real\", \"recientes\", \"recientes\", \"recientes\", \"recientes\", \"recomposici\\u00f3n\", \"recuperaci\\u00f3n\", \"recuperaci\\u00f3n\", \"recursos\", \"recursos\", \"recursos\", \"recursos\", \"reducci\\u00f3n\", \"reducci\\u00f3n\", \"reducci\\u00f3n\", \"reducci\\u00f3n\", \"reducci\\u00f3n\", \"reducci\\u00f3n\", \"redujo\", \"redujo\", \"referencia\", \"referencia\", \"referencia\", \"referencia\", \"registro\", \"registros\", \"registr\\u00f3\", \"registr\\u00f3\", \"regi\\u00f3n\", \"regulados\", \"rendimientos\", \"rentabilidad\", \"rentabilidad\", \"reportado\", \"reporte\", \"representaron\", \"representativos\", \"requisitos\", \"respectivamente\", \"respectivamente\", \"resultado\", \"resultado\", \"resultado\", \"resultado\", \"resultado\", \"resultados_ejercicio\", \"resumen\", \"retiro_programado\", \"retornos\", \"riesgo\", \"riesgo\", \"riesgo\", \"riesgo\", \"riesgo_cr\\u00e9dito\", \"riesgo_cr\\u00e9dito\", \"riesgo_mercado\", \"riesgos\", \"riesgos\", \"ritmo_expansi\\u00f3n\", \"rnl\", \"roa\", \"sector\", \"sector_corporativo\", \"sector_corporativo_privado\", \"sector_econ\\u00f3mico\", \"sector_p\\u00fablico\", \"sector_p\\u00fablico\", \"sectores\", \"segmento\", \"seguros\", \"semejante\", \"sendas\", \"sfc\", \"sistema\", \"sistema_financiero\", \"sistemas\", \"situaci\\u00f3n\", \"situaci\\u00f3n\", \"situaci\\u00f3n\", \"situaci\\u00f3n_financiera\", \"sociedad\", \"sociedades_comisionistas_bolsa_scb\", \"socios_comerciales\", \"subsecci\\u00f3n\", \"subsecci\\u00f3n\", \"subsecci\\u00f3n_analiza_evoluci\\u00f3n\", \"subsidio\", \"sugieren\", \"sugieren\", \"superintendencia_financiera_colombia\", \"superior\", \"superior\", \"superior_registrado\", \"tasa\", \"tasa\", \"tasa_desempleo\", \"tasa_fija\", \"tasa_intervenci\\u00f3n\", \"tasa_inter\\u00e9s\", \"tasa_inter\\u00e9s\", \"tasa_variable\", \"tasas\", \"tasas\", \"tasas\", \"tasas_inter\\u00e9s\", \"tasas_inter\\u00e9s\", \"tasas_inter\\u00e9s\", \"tendencia_creciente\", \"tipo\", \"tipo\", \"tipo\", \"tipo_cambio\", \"transables\", \"transacciones\", \"transporte_almacenamiento_comunicaciones\", \"t\\u00e9rminos_intercambio\", \"t\\u00e9rminos_reales\", \"t\\u00edtulos\", \"t\\u00edtulos_deuda_p\\u00fablica\", \"t\\u00edtulos_deuda_p\\u00fablica\", \"ubic\\u00e1ndose\", \"ubic\\u00f3\", \"utilidad\", \"utilidades\", \"utilidades\", \"utilizando\", \"vale_pena_resaltar\", \"variables\", \"variables\", \"variaci\\u00f3n\", \"variaci\\u00f3n\", \"ventas\", \"vis\", \"visto_afectado\", \"viviendas\", \"zona_euro\", \"\\u00edndice\", \"\\u00edndice_colcap\"]}, \"R\": 30, \"lambda.step\": 0.01, \"plot.opts\": {\"xlab\": \"PC1\", \"ylab\": \"PC2\"}, \"topic.order\": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]};\n",
       "\n",
       "function LDAvis_load_lib(url, callback){\n",
       "  var s = document.createElement('script');\n",
       "  s.src = url;\n",
       "  s.async = true;\n",
       "  s.onreadystatechange = s.onload = callback;\n",
       "  s.onerror = function(){console.warn(\"failed to load library \" + url);};\n",
       "  document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "}\n",
       "\n",
       "if(typeof(LDAvis) !== \"undefined\"){\n",
       "   // already loaded: just create the visualization\n",
       "   !function(LDAvis){\n",
       "       new LDAvis(\"#\" + \"ldavis_el278069788361763870149307\", ldavis_el278069788361763870149307_data);\n",
       "   }(LDAvis);\n",
       "}else if(typeof define === \"function\" && define.amd){\n",
       "   // require.js is available: use it to load d3/LDAvis\n",
       "   require.config({paths: {d3: \"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min\"}});\n",
       "   require([\"d3\"], function(d3){\n",
       "      window.d3 = d3;\n",
       "      LDAvis_load_lib(\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.js\", function(){\n",
       "        new LDAvis(\"#\" + \"ldavis_el278069788361763870149307\", ldavis_el278069788361763870149307_data);\n",
       "      });\n",
       "    });\n",
       "}else{\n",
       "    // require.js not available: dynamically load d3 & LDAvis\n",
       "    LDAvis_load_lib(\"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js\", function(){\n",
       "         LDAvis_load_lib(\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.js\", function(){\n",
       "                 new LDAvis(\"#\" + \"ldavis_el278069788361763870149307\", ldavis_el278069788361763870149307_data);\n",
       "            })\n",
       "         });\n",
       "}\n",
       "</script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Gráfica LDAvis de tópicos y sus palabras\n",
    "with warnings.catch_warnings():\n",
    "    warnings.simplefilter('ignore')\n",
    "    vis = pyLDAvis.gensim.prepare(modelo, sparsed, bags.vocab, sort_topics=False)\n",
    "\n",
    "pyLDAvis.display(vis)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Aplicar modelo a otro corpus (opcional)\n",
    "\n",
    "Una vez ha entrenado un modelo, puede incluso aplicárselo a otro corpus. Sólo hay que aplicarle el mismo tipo de preprocesamiento y filtros a los datos.\n",
    "\n",
    "Por ejemplo, en este caso el modelo se entrenó por párrafo, pero puedo estar interesado en la distribución de probabilidad de tópicos *para cada archivo de texto*.\n",
    "\n",
    "*En un escenario ideal, su fuente de datos es tan amplia que no necesita entrenar a nivel de párrafos. Se necesitan bastantes documentos para entrenar un modelo de tópicos*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-04-10 14:51:02 : INFO : Diccionario con 34677 términos creado...\n"
     ]
    }
   ],
   "source": [
    "bags2 = Bags(ng_frases, 'id_file')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
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       "                0         1         2         3         4         5         6  \\\n",
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       "\n",
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     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "idms, toks, sparsed = [], [], []\n",
    "\n",
    "for b in bags2:\n",
    "    idms.append(b.get(\"idm\"))\n",
    "    toks.append(b.get(\"tokens\"))\n",
    "    sparsed.append(b.get(\"sparsed\"))\n",
    "\n",
    "# Document-Feature Matrix\n",
    "dfm = pd.DataFrame(data=(dict(d) for d in modelo[sparsed]), index=idms)\n",
    "dfm.sort_index(inplace=True)\n",
    "dfm.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
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\"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Evoluci\\u00f3n de t\\u00f3picos\", \"x\": 0.5}, \"xaxis\": {\"title\": {\"text\": \"Documento\"}}, \"yaxis\": {\"automargin\": true, \"hoverformat\": \".2f\", \"title\": {\"text\": \"Participaci\\u00f3n\"}}},\n",
       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
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       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
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       "if (outputEl) {{\n",
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       "\n",
       "                        })\n",
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       "                });\n",
       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "traces = []\n",
    "for i in dfm.columns:\n",
    "    traces.append(go.Scatter(x=dfm.index, y=dfm[i], \n",
    "                             line=dict(width=2), name=f'Tópico {i}'))\n",
    "\n",
    "fig = go.Figure(data=traces)\n",
    "fig.update_layout(title_text=\"Evolución de tópicos\", title_x=0.5,\n",
    "                  xaxis_title='Documento', yaxis_title='Participación',\n",
    "                  yaxis=dict(automargin=True, hoverformat='.2f'))\n",
    "\n",
    "fig.write_html(file=str(graficas.joinpath('doctopics.html')), auto_open=False)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Almacenamiento de objetos generados"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`Bags` y `Topicos` generan estructuras que pueden ser útiles más adelante, y por lo tanto se quiere guardar a disco.\n",
    "\n",
    "Se quiere usualmente almacenar los modelos de \"ngramas\", el \"diccionario\" que contiene todas las palabras únicas existentes en el corpus (producido por `Bags`), el mejor modelo de tópicos (producido por `Topicos`)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Guardar n-gramas, diccionario y mejor modelo LDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "mpath = crear_carpeta(carpeta.joinpath('modelos'))\n",
    "\n",
    "#Guardar modelos de bigramas y trigramas\n",
    "ng_frases.models.get('bigrams').save(str(mpath.joinpath('bigrams')))\n",
    "ng_frases.models.get('trigrams').save(str(mpath.joinpath('trigrams')))\n",
    "\n",
    "# Guardar diccionario\n",
    "bags.vocab.save(str(mpath.joinpath('vocab')))\n",
    "\n",
    "# Guardar mejor modelo\n",
    "modelo.save(str(mpath.joinpath(f'topicos-{modelo.num_topics:0>2}.lda')))"
   ]
  }
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