doc/jupyter/Demo/Demo_9_seaIceExtent_ivanova.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "acb8d42e",
   "metadata": {},
   "source": [
    "# PCMDI Metrics Package Sea Ice Demo\n",
    "\n",
    "<div style=\"text-align: right\">\n",
    "<p>\n",
    "    <img src=\"https://pcmdi.github.io/assets/PCMDI/199x65px-PCMDI-Logo-Text-rectangle.png\"\n",
    "         width=\"91\"\n",
    "         height=\"30\"\n",
    "         class=\"fixed-height-image\"\n",
    "         style=\"margin-right: 20px\"\n",
    "         title=\"Program for Climate Model Diagnosis and Intercomparison\"\n",
    "         alt=\"Program for Climate Model Diagnosis and Intercomparison\"\n",
    "    >&nbsp;\n",
    "    <img src=\"https://pcmdi.github.io/assets/LLNL/212px-LLNLiconPMS286-WHITEBACKGROUND.png\"\n",
    "         width=\"30\"\n",
    "         height=\"30\"\n",
    "         class=\"fixed-height-image\"\n",
    "         style=\"margin-right: 20px\"\n",
    "         title=\"Lawrence Livermore National Laboratory\"\n",
    "         alt=\"Lawrence Livermore National Laboratory\"\n",
    "    >&nbsp;\n",
    "    <img src=\"https://pcmdi.github.io/assets/DOE/459x127px-DOE-Logo_Color_TextOnly.png\"\n",
    "         width=\"108\"\n",
    "         height=\"30\"\n",
    "         class=\"fixed-height-image\"\n",
    "         style=\"margin-right: 20px\"\n",
    "         title=\"United States Department of Energy\"\n",
    "         alt=\"United States Department of Energy\"\n",
    "    >&nbsp;\n",
    "    <img src=\"https://pcmdi.github.io/assets/ESGF2-US/390x202px-ESGF2-US_logo_transparent_word-crop.png\"\n",
    "         width=\"57\"\n",
    "         height=\"30\"\n",
    "         class=\"fixed-height-image\"\n",
    "         style=\"margin-right: 25px\"\n",
    "         title=\"Earth System Grid Federation 2 - US Consortium\"\n",
    "         alt=\"Earth System Grid Federation 2 - US Consortium\"\n",
    "    >\n",
    "</p>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "848c69e5",
   "metadata": {},
   "source": [
    "**Summary**  \n",
    "The PCMDI Metrics Package (PMP) sea ice driver produces metrics that compare modeled and observed sea ice extent. This notebook demonstrates how to run the PMP sea ice code.\n",
    "\n",
    "**Authors**  \n",
    "Ana Ordonez, Jiwoo Lee, Paul Durack, Peter Gleckler ([PCMDI](https://pcmdi.llnl.gov/), [Lawrence Livermore National Laboratory](https://www.llnl.gov/))\n",
    "\n",
    "**Reference**  \n",
    "Ivanova, D. P., P. J. Gleckler, K. E. Taylor, P. J. Durack, and K. D. Marvel, 2016: Moving beyond the Total Sea Ice Extent in Gauging Model Biases. *J. Climate*, **29**, Pp 8965–8987, https://doi.org/10.1175/JCLI-D-16-0026.1.\n",
    "\n",
    "**Notes**  \n",
    "The installation instructions for the PMP can be found [here](http://pcmdi.github.io/pcmdi_metrics/install.html).\n",
    "The documentation for the sea ice metrics can be found [here](http://pcmdi.github.io/pcmdi_metrics/metrics_sea_ice.html).\n",
    "\n",
    "**Table of Contents**\n",
    "\n",
    "Note: Links to the sections work best when viewing this notebook via [nbviewer](https://nbviewer.org/github/PCMDI/pcmdi_metrics/blob/main/doc/jupyter/Demo/Demo_9_seaIceExtent_ivanova.ipynb).\n",
    "- [1. Demo data](Demo_9_seaIceExtent_ivanova.ipynb#data)\n",
    "  * [1.1 Model output](Demo_9_seaIceExtent_ivanova.ipynb#mo)\n",
    "  * [1.2 Reference dataset](Demo_9_seaIceExtent_ivanova.ipynb#ref)\n",
    "- [2. Sectors](Demo_9_seaIceExtent_ivanova.ipynb#sector)\n",
    "- [3. Basic Example](Demo_9_seaIceExtent_ivanova.ipynb#basic)\n",
    "  * [3.1.1 Introducing the PMP parameter file](Demo_9_seaIceExtent_ivanova.ipynb#param)\n",
    "  * [3.1.2 Introducing the PMP driver file](Demo_9_seaIceExtent_ivanova.ipynb#driver)\n",
    "  * [3.1.2 Running the PMP sea ice demo](Demo_9_seaIceExtent_ivanova.ipynb#run)\n",
    "- [4. Working with multiple realizations](Demo_9_seaIceExtent_ivanova.ipynb#multi)\n",
    "- [5. Working with multiple models](Demo_9_seaIceExtent_ivanova.ipynb#mm)\n",
    "- [6. Further exploration](Demo_9_seaIceExtent_ivanova.ipynb#further)\n",
    "- [7. Debugging the LLNL Nimbus binder environment](Demo_9_seaIceExtent_ivanova.ipynb#debug)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6bfd3b73",
   "metadata": {},
   "source": [
    "## 1. Demo data <a class=\"anchor\" id=\"data\"></a>\n",
    "\n",
    "\n",
    "### 1.1 Model output <a class=\"anchor\" id=\"mo\"></a>\n",
    "\n",
    "This demo uses three CMIP6 models. The Sea-Ice Area Percentage (Ocean Grid; 'siconc') and Grid-Cell Area for Ocean Variables ('areacello') variables are needed and can be found in the following directories. In addition, six other models are available that can be added to the analyses in this demo:\n",
    "```\n",
    "/p/user_pub/pmp/demo/sea-ice/links_siconc\n",
    "/p/user_pub/pmp/demo/sea-ice/links_area\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "519bf2cc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_185001-185912.nc\r\n",
      "siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_186001-186912.nc\r\n",
      "siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_187001-187912.nc\r\n",
      "siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_188001-188912.nc\r\n",
      "siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_189001-189912.nc\r\n",
      "siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_190001-190912.nc\r\n",
      "siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_191001-191912.nc\r\n",
      "siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_192001-192912.nc\r\n",
      "siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_193001-193912.nc\r\n",
      "siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_194001-194912.nc\r\n",
      "siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_195001-195912.nc\r\n",
      "siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_196001-196912.nc\r\n",
      "siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_197001-197912.nc\r\n",
      "siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_198001-198912.nc\r\n",
      "siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_199001-199912.nc\r\n",
      "siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_200001-200912.nc\r\n",
      "siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_201001-201112.nc\r\n"
     ]
    }
   ],
   "source": [
    "!ls /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a5bc009b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "areacello_Ofx_E3SM-1-0_historical_r1i1p1f1_gr.nc\r\n"
     ]
    }
   ],
   "source": [
    "!ls /p/user_pub/pmp/demo/sea-ice/links_area/E3SM-1-0/"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "00d48042",
   "metadata": {},
   "source": [
    "### 1.2 Reference dataset <a class=\"anchor\" id=\"ref\"></a>\n",
    "\n",
    "The observational dataset provided is the satellite derived sea ice concentration dataset from EUMETSAT OSI-SAF. More data information can be found at the [osi-450-a product page](https://osi-saf.eumetsat.int/products/osi-450-a). The path to this data is:\n",
    "```\n",
    "/p/user_pub/pmp/demo/sea-ice/EUMETSAT\n",
    "```\n",
    "\n",
    "The original data was post-processed for the PMP and the processed data can be downloaded by running [Demo_0_download_data.ipynb](Demo_0_download_data.ipynb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8f2af9d9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ice_conc_nh_ease2-250_cdr-v3p0_198801-202012.nc\r\n",
      "ice_conc_sh_ease2-250_cdr-v3p0_198801-202012.nc\r\n"
     ]
    }
   ],
   "source": [
    "!ls /p/user_pub/pmp/demo/sea-ice/EUMETSAT/OSI-SAF-450-a-3-0/v20231201"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf862633",
   "metadata": {},
   "source": [
    "**NOTE** Further exploration of the above datasets can be found in our supplemental Jupyter notebook: [Demo_9b_seaIce_data_explore.ipynb](Demo_9b_seaIce_data_explore.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b854017",
   "metadata": {},
   "source": [
    "## 2. Sectors <a class=\"anchor\" id=\"sector\"></a>\n",
    "This code block produces maps that show the different regions used in the analysis along with the mean observed (OSI-SAF) sea ice concentration. The code to generate these figures can be found in the script [`sea_ice_sector_plots.py`](sea_ice_sector_plots.py).\n",
    "\n",
    "Below process will take about 30 seconds."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b0a0555",
   "metadata": {},
   "source": [
    "<div align=right>\n",
    "<a href=Demo_9_seaIceExtent_ivanova.ipynb#top>Go back to Top</a>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b6d75e4e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Creating Arctic map\n",
      "Creating Antarctic map\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[WARNING] yaksa: 10 leaked handle pool objects\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 5.81 ms, sys: 7.2 ms, total: 13 ms\n",
      "Wall time: 25.9 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "%%bash\n",
    "python sea_ice_sector_plots.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a82ee330",
   "metadata": {},
   "outputs": [],
   "source": [
    "# To open and display one of the graphics\n",
    "from IPython.display import display_png, JSON, Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6a7eb6da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "a = Image(\"Arctic_regions.png\")\n",
    "b = Image(\"Antarctic_regions.png\")\n",
    "display_png(a,b)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5294910f",
   "metadata": {},
   "source": [
    "## 3. Basic example <a class=\"anchor\" id=\"basic\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f316897b",
   "metadata": {},
   "source": [
    "This first case will work with sea ice concentration ouput from a single model, E3SM-1-0. Two overview plots are shown below to visualize the Arctic sea ice evolution over time in this model.\n",
    "\n",
    "For this demo, we start the OSI-SAF satellite data in 1988 as that avoids missing data in earlier parts of the record.\n",
    "\n",
    "The code to generate these figures can be found in  [`sea_ice_line_plots.py`](sea_ice_line_plots.py).\n",
    "\n",
    "Below process will take about 15 seconds."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e99f724",
   "metadata": {},
   "source": [
    "<div align=right>\n",
    "<a href=Demo_9_seaIceExtent_ivanova.ipynb#top>Go back to Top</a>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a6cb929f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 3.44 ms, sys: 4.66 ms, total: 8.1 ms\n",
      "Wall time: 25.1 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "%%bash\n",
    "python sea_ice_line_plots.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "3120f819",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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FNddcgy9+8Yvo6+sDAERRhO9///vYZZddsGjRIuP91mq1543B+chHPoILL7wQb33rW7F582Z86EMfMtq+VCrh0EMPxb777ovLL78c9913H04++WS88Y1vxFVXXYUwDJVghy4I8tf9W9/6lvnBQO9+6u/vx9FHH437778fBx54IGNydeONb3wj/vd//xerV6/G29/+duVnH3zwQXzkIx/Bqaeeim9/+9s47LDDcNJJJ+H+++/HjBkzAMjv7W7HKYvn835y4eLFFA4Abod4/PHHceWVV+Lpp59mqbCzzjoLN998My677DL8z//8T+bzzWYTl19+Oc4+++ypGK4LjfjZz36GNWvWZFhcPvbff39ccMEFuOSSS5QAEIhTjyeccAJe/epX49/+7d+w2267YdWqVfj5z3+Oyy+/HABwwAEHAAC+9rWv4bTTTkOlUsE+++zDmCQ+/vEf/xGXXXYZ3v/+9+ORRx7B0UcfjSiKcPfdd+OlL30pq1d8PuKzn/0sjjnmGBx99NE466yzUK1WceGFF+JPf/oTrrzySivLjQMOOABXXXUVfvCDH2CvvfZCvV5n56PbWLRoEY499lj87Gc/w9/8zd/goIMOKtzmoosuwq233orjjz8eu+22GxqNBkv3v/71rwcAnHzyybj88stx3HHH4V//9V/xqle9CpVKBU8//TRuu+02vPnNb8aJJ56Iww47DDNmzMD73/9+fPrTn0alUsHll1+OBx54wPqYdO6nr33ta/ibv/kbHHHEEfiXf/kX7LHHHti2bRsee+wx/OQnP8Gtt94q3f/hhx+O9773vTjjjDNw77334m//9m8xMDCAtWvX4o477sABBxyAf/mXf8H4+Dje/va3Y88998SFF16IarWKH/7whzjkkENwxhlnsDrpoaEh7L777rj++uvxute9DjNnzsTs2bOxxx57dDVOWRxwwAG45ppr8M1vfhMvf/nL4fs+XvGKV1idaxcuXtQxpRKUHTQAkGuvvZb9TZVoAwMDmX/lcpm8/e1v79j+iiuuIOVyOaOEdPHCir//+78n1WqVPPfcc9LPnHzyyaRcLpNnnnmGqYC/8IUvCD971113kSVLlpCRkRFSq9XIwoULyb/9279lPnPOOeeQBQsWEN/3M8rPvAqYEEImJyfJpz71KfKSl7yEVKtVMmvWLPLa176W3HnnncrjOvLII8l+++3X8fruu+9Ojj/++I7XAZAPfvCDmdd+85vfkNe+9rVkYGCA9PX1kVe/+tXkJz/5SeYzVAVM7UFoiFStK1euJH/3d39HhoaGCACm4KSf/dGPfpTZBz3Xl112GXstrwLmY+nSpQRAxqZGFXfddRc58cQTye67705qtRqZNWsWOfLII8kNN9yQ+Vy73SZf/OIXyUEHHUTq9ToZHBwk++67L3nf+95HHn30Ufa5O++8k7zmNa8h/f39ZM6cOeSf/umfyH333ddxDKIQnS86xqL7acWKFeTd73432XnnnUmlUiFz5swhhx12GDn//PO1zsOll15KDj30UHadFy5cSE499VSmIH/nO99J+vv7yUMPPZTZ7kc/+hEBQL7yla+w1375y1+SxYsXk1qtRgCQ0047zWicJvfCxo0byVvf+lYyOjpKPM8jbhp0MV3DIyTnhOqi6/A8D9deey3+/u//HkBs9PqOd7wDDz30UIf6bXBwEPPnz8+89rrXvQ7Dw8O49tprt9eQXbiYtvGWt7wFv/vd77By5cqMQtuFCxcuduRwKeDtEIsXL0YYhnjuuecKa/pWrFiB2267DTfccMN2Gp0LF9Mvms0m7rvvPvz+97/Htddeiy9/+csO/Llw4WJahQOAPYqxsTE89thj7O8VK1Zg+fLlmDlzJhYtWoR3vOMdOPXUU/GlL30Jixcvxvr163HrrbfigAMOYJYGQKws3WmnnZSKYhcuXHQXa9euxWGHHYbh4WG8733vw4c//OGpHpILFy5cbNdwKeAexbJly3D00Ud3vH7aaadh6dKlaLfbOP/88/Hd734Xq1evxqxZs/Ca17wG5513Hitoj6IIu+++O0499VT8v//3/7b3Ibhw4cKFCxcupkk4AOjChQsXLly4cDHNwnUCceHChQsXLly4mGbhAKALFy5cuHDhwsU0CwcAXbhw4cKFCxcuplk4FXAXEUUR1qxZg6GhIasOBy5cuHDhwoWL7R+EEGzbtg0LFizYrj3TX0jhAGAXsWbNGuy6665TPQwXLly4cOHChUU89dRT2GWXXaZ6GFMSDgB2EbQP61NPPYXh4eEpHo0LFy5cuHDhQie2bt2KXXfdVdhPfbqEA4BdBE37Dg8POwDowoULFy5cvMhiOpdvTc/EtwsXLly4cOHCxTQOBwBduHDhwoULFy6mWbgUsAsXLly4cNFFEEIQBAHCMJzqobjgolQqoVwuT+s0ryocAHThwoULFy4so9VqYe3atZiYmJjqobgQRH9/P3baaSdUq9WpHsoLLhwAdOHChQsXLiwiiiKsWLECpVIJCxYsQLVadWzTCyQIIWi1Wli3bh1WrFiBl7zkJdPW708WDgC6cOHChQsXFtFqtRBFEXbddVf09/dP9XBc5KKvrw+VSgVPPvkkWq0W6vX6VA/pBRUODrtw4cKFCxddhGOWXrjhro083Jlx4cKFCxcuXLiYZuEAoAsXLly4cOHCxTQLBwBduHDhwoWLHTiOOuoo1Go1DA4Osn+zZ88GALz1rW/FTjvthOHhYey55544//zzM9vefffdOProozFjxgyMjo7iwAMPxNKlS9n7e+yxBzzPw6OPPprZ7oMf/CA8z8NXv/pV6bh++MMf4rDDDkN/fz8OPvhgrWP585//jMMPPxz9/f1YtGgRbrjhBq3tXHSGA4AuXLhw4cLFDh6f+9znMDY2xv6tX78eAPDpT38aK1euxNatW/HrX/8aV1xxBb7//e8DALZt24Zjjz0WJ510Ep577jmsW7cOl1xyCebOnZvZ9z777JMBhc1mEz/84Q+x9957K8c0c+ZMfPSjH8UnPvEJrWNot9s44YQT8LrXvQ4bN27El7/8ZZxyyil47LHHDM6ECxpOBezChQsXLlz0IAghmGxvPzPovkqpa9uZAw44gP2/53nwfZ+xeY888gjGx8fx3ve+l4kpXvnKV3bs44wzzsAFF1yA//7v/4bv+7juuuvwyle+stAb8fWvfz0AZMCjKm6//XZs2LAB//Vf/4VKpYI3vvGNOPLII/G9730P5513ntY+XKThAGAPYqIV4Bs3/RnHHbATDtp1dKqH48KFCxcupiAm2yFe9qmfb7fve/gzb0B/tftp/AMf+ACWLl2KyclJ7L777jj99NMBxMze6OgoTj75ZLzjHe/AoYceivnz53dsv88++2DXXXfFL37xCxx77LG49NJL8U//9E/4xje+0fXY+PjjH/+I/fbbD5VKhb128MEH449//GNPv2e6hEsB9yC+/qvH8K3bn8Cbv/HbqR6KCxcuXLhw0RHnnHMORkdH2b9jjjmGvXfhhRdibGwM99xzD971rndhxowZAIChoSHceeedmDlzJs4880wsWLAAhx56KO67776O/Z9xxhm47LLL8PTTT+O+++7Dm970pp4fw9jYGEZHRzOvjY6OYtu2bT3/rukQjgHsQdz1+PqpHsILJs694SEQQnDem/ef6qG4cOHCxXaNvkoJD3/mDdv1+3Tjs5/9LD760Y9K3/d9H694xStw22234ayzzsLFF18MANh7771x0UUXAQDWrFmDj33sY3jTm96Ep556KpN+Pumkk/Dxj38cX/nKV3DyySejVqtl9r9kyRL85je/AQD853/+J/7zP/9TOd7f/OY3WLJkCft7bGwMg4OD2LJlS+ZzW7ZswdDQUPEJcNERDgD2IDaOtwBUCj+3o8eGsSaW3rkSAHDmMftgpN+dExcuXEyf8DyvJynZqYx2u92h6KWxYMECnH322bjiiiuwceNGzJo1i703PDyM448/Hl/5yldw7733dmz7s5/9zGgcRxxxBMbGxjKvHXjggfjv//5vtNttlgZevnw5DjnkEKN9u4jDpYB7EJsm2lM9hBdEPL1pkv3/ponWFI7EhQsXLlwUxZNPPokf//jHGBsbQxRFuPPOO/H1r38db3hDzGL+5S9/wec+9zmsXLkSURRh8+bNuOCCC7Bo0aIM+KPxuc99Dr/61a+0AVkYhmg0Gmi32yCEoNFooNlsSj//t3/7t5g5cyb+3//7f2g2m7jpppuwbNkynHrqqXYnYJqHA4A9DkLIVA9hymLN5u4B4HgzwPd+9ySe29ro1bBcTGFEEcEfntyIiVYw1UNx4WJax8c//vGMD+Dg4CAA4Ktf/Sp22WUXjI6O4t3vfjc+/OEP4+yzzwYQ1wDef//9OOKIIzA8PIx99tkH69atw09+8hPhdyxYsABHH3209pi+973voa+vD+9973vxxz/+EX19fdhnn32kn69UKrjhhhtwyy23YHR0FP/6r/+Kyy+/vNBuxoU4Xtxc9QswmkGEukFdxo4Uq3sAAD99w0O4+g9P4/r7V+PqfzmsV0NzMUXxq788h3/+7r14x6G74f+deEDxBi5cuOh5LFu2TPoercsTxc4774yrrrpKue+VK1dafS8AnH766UxxrBsve9nL8NvfOsFlL8IxgD2OrY3pmw7OpIDH7c7D1X94GgBw75ObejImF1Mbf302Vuet2qj2A3PhwoULF9s3HADscWydnL6prl4wgC52rNgwFt8HY83p+7tw4cKFixdiOADY47BlAB97bgxX/X4VoujFW0PI1wButhDG8PWTQzVXnbAjxPqxuKB73AFAFy5cuHhBhZtlexxbJ+0A4H9d9yfc9cQG7DqzH4fvPbvHo9o+0S0DuH4s3WbOUE3xSRcvltgwHgPAsYYDgC5cuHDxQoodhgG8/fbbccIJJ2DBggXwPA/XXXdd4TaXX345DjroIPT392OnnXbCGWecgQ0bNnQ1jm2WE92aLTF4Wrvlxal+HW8GGdbPBgA+sS71fApexEyoizRcCjgOQgj+9ar78cnrHpzScfz0j2vw1V/+dVq7Fbhw4SKOHQYAjo+P46CDDsIFF1yg9fk77rgDp556Kt7znvfgoYcewo9+9CPcc889+Kd/+qeuxmGbAqbgafOLtHaOZ/8AOxHI4+vG2f93Yxvyl2e24uY/rbXe3kXvgrK6461wWoOOtVsauH75Gnz/d6vQaIdTNo5PX/8QvvrLRzO/NRcuXEzP2GFSwEuWLMm0jSmK3/3ud9hjjz3wkY98BACw55574n3vex8+//nPW33/rIEqNoy3rEQgYUQYcLSpnXshRAcAtACyj3MMYDeM0YeuuB+PPTeGX555JPaeO2i9HxfdRRgRbExSwGFEptQi6ZktDYz2V6bs+zdw5Q1bJttTMo4wItiY/C6dSMuFCxc7DANoGocddhiefvpp3HTTTSCE4Nlnn8XVV1+N448/3mp/tGZtmwUDuGWyDUqObJ58cT6YqXHz7MH4PNgAWT4F3GhHCC3SwIQQrNoQW46s2ji9WY7ntjbwjdseY0KM7R2bJ1rgL6FteUS3sWrDBA7/3K143/f+MCXfD6S1kED8e5+K2NZInzM2zykXLlzsWDGtAeDll1+Ok046CdVqFfPnz8fo6Cj+7//+T7pNs9nE1q1bM/9oUABokwLmV+MvVgaw0Y4AADvP6AMQH5Npyu+ZrVmgMm6RBt46GaAVxmNZv+3FCaZ7Ff/03XvxhZ8/grN/PDV1ZxvGs+d/qpTAy5/ejDAieGjNluIPP0/BM4BT9RvngedUgXEXLly8cGLaAsCHH34YH/nIR/CpT30Kf/jDH3DzzTdjxYoVeP/73y/d5rOf/SxGRkbYv1133ZW9R5kvmxQwX/fXDTvwhyc3dqRit1fQuqb5w/F5aAYRJg1rnfK1URNN81qpdRzbtW6KmK8XSvzx6Rjw/Oovz1rvoxVEmGzZ1azlmUfbtP619z+ND11xn3Xt3KoNMRO8cbxlxSr3IngGcKrqfHngudUBwGkZv/zlL3HEEUdgcHAQIyMjWLJkCe677z72/t13342jjz4aM2bMwOjoKA488EAsXbqUvb/HHnsoBZaPPPIITjjhBMyePRvDw8PYd9998bnPfa7jc9/97nfheR6++c1vdrzneR76+/szLesefHBqxVM7akxbAPjZz34Whx9+OD72sY/hwAMPxBve8AZceOGFuPTSS7F2rVhAcM4552DLli3s31NPPcXe64oB5AQTtuzAH57chLd88y6c+I2paZFDGcCZAzVUS/FttcnwWPITvA0DuG5bU/j/L6Z4ZksDn7zuQfzx6c092d9IX8V62xMv/C2O/MJtVuCLt/UB7BnAr//qMfz0j2tx94qNVts/mZQERCQGgVMRPBu6eYpSwJszDOCLM9Pgwj5uuOEGnHjiiTj99NPxzDPPYOXKlTjqqKNw5JFH4t5778W2bdtw7LHH4qSTTsJzzz2HdevW4ZJLLsHcuXO1v+P444/HQQcdhFWrVmHTpk348Y9/jL322qvjc5dccglmzpyJSy65RLifO++8E2NjY+zfAQe4NpLPR+wwIhDTmJiYQLmcPfxSKS7MlqUua7UaajWxP92cQVoDaMEAcg9m2xrAK3+/CgDw3BSBnmYQA4R6xcdofwXPbWti03gLO4/2ae+jAwBaAAae9Zuq2rdu45r7n8b3f7cK3//dKtzwocNx4C6jxvvg72FbADjWDPDQmrjMYc3mSew1x0xQs6EHDCAhhBmM27LjFAAC8T0xFR6TGRHIFKWAeeZxOncsmo5BCMG//uu/4uyzz8Z73vMe9vrHP/5xPProozjrrLPwxS9+EePj43jve98L348X8a985Su1v2P9+vV4/PHH8b73vQ/9/f0AgP322w/77bdf5nOPPfYYbr/9dlx33XU48cQT8cADD+Cggw7qwVG6MI0dhgEcGxvD8uXLsXz5cgDAihUrsHz5cqxaFQOjc845B6eeeir7/AknnIBrrrkG3/zmN/HEE0/gt7/9LT7ykY/gVa96FRYsWGD8/bOHqgDsjKA396AG8IGnNrP/nwq7DcoA1islzOiPz4XpsdCUca0c35bjNingHYAB3MiBhY/+YLnVPnjGaaBqt86jwh7ADnxtyDGANgBw43gLzSC+t2xN1p/kxEC290SjHeLhNVutf1s88zhVIpCtjgF8/oMQoDW+/f5p3o9//etfsXLlSvzjP/5jx3v/+I//iDvuuAP77LMPRkdHcfLJJ+P666/HM888Y3Tos2bNwr777oszzjgDP/zhD/Hkk08KP3fJJZdg8eLFePOb34wjjjhCygK6eP5jh2EA7733Xhx99NHs7zPPPBMAcNppp2Hp0qVYu3YtA4MAcPrpp2Pbtm244IIL8O///u8YHR3Fa1/7WmG9gk7MGawD6F4Esq0RIAgjlEv62LwZhHj0uTHu7+1vt0EZwFrZx4yBmHEysZoghDAQOXuwhtWbJ60YwPUvEAbwzsfW45r7V+OTx78Uowkg1g2+TG3F+nHj+wEAntqYsl6NwK52jmeTrQDgeE7UYwHoeWN0m99Wox3i2a3d3xNn/nA5bnrwGXzjlENw/IE7GW/Ps6G2LP9YM8CNf1yDY142HzMHzO4pILsgcyKQ5ynaE8D/mBMI1vGfa4DqQOHH1q9fDwBCcmPBggUIwxBbt27FnXfeiS9+8Ys488wzsWLFCrzyla/EN7/5TRxyyCGF3+F5Hm677TZ84QtfwHnnnYe//OUv2GefffC1r30NxxxzDAAgDEN85zvfwcc//nEAwKmnnor/+I//wBe+8IVMdu2II45gGbnFixfjtttuKz4XLoxjh2EAjzrqKBBCOv7RAtalS5di2bJlmW0+/OEP46GHHsLExATWrFmD73//+9h5552tvj+1gTF/sOZr5UwLtO97cnPm76nouiBmAPUnOsryAGCT24u5BvCUi+/G1X94GpfescJ42yYH2AixA19PbUrFQLbpvme7ZADXbeu+BpDvL20zhlUcEAbsAeBND8ZsyHfuWmm1/foeqIA/ee2D+PiPH8S/WbLCvagBJCRWU3ej6F61YQI//sPT1oKcVhDh9Mt+j6/c8lfrMUy3mD07bi+6Zs2ajvfWrFmDUqmEmTNnYu+998ZFF12Exx9/HE8//TT23ntvvOlNbxIy3/vttx8TaVx++eUAgPnz5+NLX/oSHnroIaxbtw5LlizBiSeeiI0b4/rdm266CevXr8cpp5wCAHjb296GyclJXHvttZl9/+Y3v8HmzZuxefNmB/6ex9hhGMCpjlmDMWiZaIVohxEqBoxNHihtnmgZrfDvXpFtXzfWCJgqeXsFZZnqZZ+xjzyoK4pmO/0sfy5Ngwd9WxsBmkGIWnn7sqFBmB7LmAXr1Whnz9umiRZmGV5PngHcOtkGIQSe5xnt4zmOObNJv9JtZvRXsGmijW0WoCHDAFoAWb7+D+gUpugEDxptjcV7kQK+bnk8ef/6r+ustu+FDcw9Kzfh7d+6C286aAG+/o+Lrfbxt1+IJ/RK2cebDjJnyx5cvRnLHlmHPzy5Cf92zCKrMTxvUemPWbnt+X0asWjRIuy+++648sor8YlPfCLz3pVXXonDDz8cfX3Zeu0FCxbg7LPPxhVXXIGNGzdi1qxZmfcfeugh5XfOnDkT5557Lr785S9jxYoVTPQRRVFG1NFut3HJJZfg5JNP1joWF70LBwB7EGXfwyhXaL+tERgBuHzbNFP1bF7ZOBUMIAVwtUoJZT8GGu1Qf4VPAaTvpaIFKxFIjvXbMNbCAgMhSi+CT8fPHzEH4vmU7UaLtnpPb0qBTyuMrMoCumUA6XHMGaph00TbjgHcwjGZFqzVkxuyZuDrLVjh+57cZLwNHxOtIGOJNFU+gL1IAT+4OrYW+sszWws+KY42tzh6eM1WKwC4enN8X9qUy9C49S/P4n9/9hd84a0H4aBdR423l4bnaaVkt3d4noevfOUreNe73oX58+fjpJNOQhAE+Na3voWrrroKv/rVr/CXv/wF119/PU466STstttu2Lp1Ky644AIsWrSoA/yJYtOmTfjSl76Ed77znXjJS16CZrOJL3/5y5g5cyb23XdfPPvss7jxxhvx3e9+F6997WvZdsuXL8dxxx2HlStXYo899ngez4KLfOwwKeCpjGrZQ7nko5qIF0z97/K2EFsMa4TyTNmUAEBOBVxJzgP/sC8KqgDuq5QwUIvXJTY1Y/kU31SkgekkCWSZTd3Ib2NjXfL0pqwfpA2Dx9cA2oAW6h9I2WgbALh2M88A2gDh+DzQEg0bb8g/rEoBoA1wyothpkoEwj9XbFPANCVv6zbw12e3sf+fPWhex8iPAbA/l+9eei/++uwYPnb1A1bbvxjjxBNPxI9//GNcdtllmD9/PnbbbTfceuutuO2223DooYdiaGgI999/P4444ggMDw9jn332wbp16/CTn/xEa//VahWrV6/Gcccdh5GREey222747W9/i5tvvhkDAwP4zne+g9122w0nn3wy5s+fz/4de+yxePnLX45LL730eT4DLvLhGMAeBE0xVnwPLWRTgDpBU8DD9TK2NgJz9Wyre/sUALjz8fX45rLHcd6b9jO2/KAArl4uoZIwgCbngYLmeqWEgWp8Pk1rAMOIMPXr3KEantvWNK75CiOCx54bw6J5g8YpUxp/4gCg6WIAyNYAAnZ9W5/K1b5tbbQxd7hutI9eMYA0fW2zMFmbYQDNt6e/hb1mD2DdtqbVgoBnAG2AU74jio0RNG+RNFS3e2z3ggFcnQDqzRNtNNqhMav8wFPpb6PbMQBxtsS0PIIPm9/nizne8IY34A1veIPwvZ133hlXXXWVcvuVK1dK3xsYGMBll10mff8//uM/8B//8R/C9+655x72/1PhYjFdwzGAPQjK/NFUhAnzBaQT/J6z49SBKQCcyAElWwbwlG/fjd88uh7n3/hn421pvV+t4rP6x5ZJCpgTkaQMoNlxbJpIOz3sM38IgDkD+KVfPII3fPV2fO93YgsDnXiwSwBIJ3sKhG0YwE5W2fye6FYFPNmiqu6Y6bG5L9d0yQA2kvtylxlxrZRpDSAhhHVUAWwZwPg8Uk/MrY3AWADBM7q+5cKEv4ZjrQCRhQiD7zRkA6Z5c3NbAMgzgDZgmgcYMwe2vyekCxcvlHAAsAdBfesqDACaAJ+QgZ89KAA0nOh6kQLmH4o2DCLPANoAYbp9reIz3zpTEQhl+2YOVLHTSD3zmm5cuOxxAMCnrlcXOMsiCCP8eW1aH2XTQYOC6Z0SwLDJAgDSc0drUW3AU7cMYLPdXQo4jEhmDDbHQNnxXWfG53LjeNMIfNH6yW7GQFPAe81Ja8NM95MR9TTaxuCNEJJ5rhACK1EOD75s0sDLOb9S2zT06gwAtPFdTbeZ0W/fJceFixd7OADYg2Ap4BJNfeo/nOnDqOR72GVGPEltMVzVUpDRjXiCV1vuOlNPWcYHzwBWS+YpYB5AUgbQFMhSlehIX4WBDlPGZ95wygjkU7FaY2gEGRWvTR9dei4oiN1oeD+EEUEruR7zhu38KceaQQaAWzGAyXHMYSlgc0AfcEBna6NtnB6i13DBaB88L/ZYNEmp5xXZNqwVBVoz+qsYTO5t00Ueb2djA94a7YjdE5RANAVgk60wk87mjcJ1t+drAK1TwJv5FLD54uhJ7lyaPKtduNjRwgHAHkSaAo6frC2L2rd+3j/PkgGcmxS6j1k8WPk0l40/F2PwyqUuU8A+BmoxoM6ntouCN6PuT9KnpgwcTcMDwD0rzNWfedBolwJOGMAEAJoygPx5m58AWlPG6dnc5G66fTuMGHijtj6mCxPKnNFr2Q5JByArCgrAh2pl9vsyYYXz19OGtWKLm4rPFmmmgDpf02naTo5+X9n3MCthhU0BGA+8AHMGcONEK2Nyvq1pYS3UaGfGbcMA8spwGxbUhYsdJRwA7EHkU8AmzBddlVfKPmMHTAEcBYBU6WjjPffg6s3s/21W5nwNX9niPNCJtq9aQn+VMoBmx5GxorFIx8fjSMd82yPPGW3Lj4GGKWCJx5CyVgCw0VIU5HvpPWEqoKAAkC5uTBclPPCebSkCoUB2zlANpURYZMpkMn/KSolZNZn4Ceav53grNBZ5NTmBEwWAprVreUNrUwBJu4+M9lcwVI/HYPo7X5MDgPlFQlE0c4shG19HXhUO2HVVWcV5Q465lngupnE4ANiDSFXACfAxqTFKAEe15KegxZCBoywTYwAtVtY8A2izPc++0VS4SQ0gBS1xCjhhAA0BA0tDl33mRRhEZpM1D9j+YOH/lje/7oYBXDBiVwNIFwT91TIDHKYMHvWm3GNWP9un0fXkjpvWIZoCwPEWFcOUMZwoX02BT3ZhYl6aQO9rKsgBzI+DV7iP9tsxgHlbH9PtKWM43FdhKmJTNrNbBjD/27BhU1dvzgJhU89UAFjJAcBetcSLDJ8zLrZfuGsjD2cD04OoluOJxSYFTD9b5YCTKcPAMyWAnX/eQ2tS4YLp9nwf33olTQGbANlGxgbGTgSSBaGUhTRkADngYmV9kgN8NiIQus18WgNoCQD7qiUM1+0AB72n5g3X8ddnx9g+dDvMUOasr1JigKMVREZdcmjKeKBWwnBf3E3EFMiyhUXFR9m3uS/j4xiqVxAm9/m2RmDU35n9Nsq+dX0r/XzZ9xBExJj5YqUm1RIHAA1TwAkI7a+WMNEKjRnA/G/BBnytzjOAFjWAqzamKeBuPVOr1Sp838eaNWswZ84cVKtVa/soF70NQgharRbWrVsH3/dRrdr5Tu7I4QBgD6IzBWzBAFqClihKwRfrR2z4UIsikgEZpg9FfmVf52xg2gat4BqciMR2kqTnoVZO2R5TSx5+krJRfHYwgIYglhDC9rFgNAaAY02zlnaT7fi89Vdj4ARYpE6T8zBYK2OoXsa2RmAEACe5ujd6PYEY1OmCpxQAljGcXFvT4+BLCxgzbdKikC4qKj6GSAWNdtP6XNarJVQtFyb0OTF3qIY1WxrGgL7JZRqGajQFbLYPmgI+cJcR/O6JjcY2MHQMfZUSJtuhFQCkwhPqmZrvoqQTfDp9ohUijAgrMTAN3/ex5557Yu3atcI+u893NJNF1WDNTeWy6O/vx2677QbfdwnPfLi7pgdR7VABmzOAlRLvn2eXaps7FAMG02L7fOuxbgCgLfjKMIBdikDqFd8qHQ+kQBRIVacmK/puRSD8uZwzVEfJ9xBGBJsn2pg3rAcAGQNYKWG4L/6Jm9Zb0XH3JXVrFADqBt/Zpex78LxYvWpybzMAWC0j6Iuvo/FxcKUFrDbVICWUsncllHwP67Y1jYELvafq5ZJVeQSQ3ldzhutYs6VhLH5oBeniiDKApnWhtA503/nD+N0TG61TwHOGali1cQKtMDI2k6bXc8FoH7Y+s824NhXovIfGmgErlTCJJ9aNIYgIFs0bwm677YYgCBCG29dY+j1Lf4+VGybwzXe+HIvmDW3X734xRKlUQrlcdqysJBwA7EFQBpCmmEwmuTbHALIaJYMJik72npeqLW1FJDRMt6dpU9+LQTBjOSxSbX2VEvoqqerTpNdnM+gtA0hVp31V/QmKP47JdmicAuZFB32VEmb0V7B+rIWN4y1m6VIUaQ1gKjowZa2oiXNfso+nN00aAcA09VqC53mo+D5aYWTEfLEawFoJBAkANBaB8KUJ5j2qeQaw7sX3gSkzzC9ubMVJPANoMwY+00BFILZMJq0L3TjeQiuImFBId/uZA1U8tWkitrNpBEYAkD5b5w3X8ZdnthmngAkhwgWvKQAMwghv+eadaIcE937y9fH9VamgUtm+voIPP9fApokQGxsE9bpZpx8XLhwn2oNgKeCyRQo4eaDVSilr1Q70t5/k2J5By9RpPk052TZTOvKpV8/zUibTJAXMpQz5GjETEJmqgH1Oiay/fVzLmFMqWqYcabG/aQqYbu8lYJpal5gIQSZ7UQOYpJH7OOWqifUID7wAWDFflAHur5bT4zAYQzuMmKVRH1ebassADlvWzonubXMGMAsATRnAJgcA+6rxGEz7VE+y2tQ+dj3NLHXSxdFg1U6IQsc8P1kMmfoAtkMCaiVJgauNGGXTRBubJtoYawZWnXp6EYQQdi/a1H27cOEAYA+iWkl7AQNmE0xqA+Olk6QJA8jVe9HUjrnaMv4832N03AC48KlXAByTaSEC4dg7wIxNzYhALK5FOyTMp4yWBJkyLXSCoqCpEURG5sU84PA8jwFJk1RXmr4tY7BuZy3U4ECkjXcdL74A0sWRCfChkxoVgQBmgJxPv9cqqTLctFMP3X64blc712x3spAmC6wwIuy3RMs8TAF9SySQMlRHTnLMcr+FUKvJAWFbIUrKAMZAuNGOjFh2vkRj9oBdxgQANoynwLdbIYltNNqp16Zt/3cX0zscAOxB1EpZ4GMywYhsYExYK17xyffQNQEddB8jfRWWvjV5qPEKYABsH7Y1gBWuWNfkXGRTwBZt+bjJwXaipWOgwC2MiNUYGHCyOJd8CrhqUVcKZK1LbKxkePEFkJZHmJyLjAikbl7LSO8pz0usgSzOZVNQO2deA9jJAJqYpPNM+twE+FiLQMq8SMvOI7OvWmLsmUm3nEbmXNp5EdLvmzlQZcINEzaUPqs8D5hBDbEtwNMGrsOQbUu7boP/3qkCoS5e3OEAYA+i2tEL2M4GxgY4sVV5pcxSwEFEOtSoOvsYqNoxRjzzBtgBYb4TiO977OFuNlmn47Cpp+QBQ2qgbFcnNdqXKl1NhCBNLp0OwArITrZSVtjWDocHkfS6GomTOPEFANYe0IgBbKUiEKYMNxAGNVpZNtWmVWNDwFpZq4C5LjlGzwgeANIUsGUNYK0LIQp/Tdk9YaKo5thUWy/CFldaQI29TdLA/DNiyJIdB7Kp7155CZoGfx86BtCFTTgA2IPojQ1MyQo4ZRjAaprCNVkR0odHX9WujjDPANpMcg1WbE8ZIwsAyNUAMhWwCYPIwJfPsV52iuiBWpmBWJMUVZ4BtOmrzN8TtjVnvIrXRp3OW58AfArYhAGkKeCyVZedRo6FtDkXPAM4bMlasRpZyxQwBS2+B8watBOB8CbpNtcT4EoLqj5b9BoBQE4Nbcum8kwmZdnNAGB6PQdrdtcTQFe2Wb0KXsVtsjBy4YKGA4A9iBqtffPNa/hSGxivq0L5vkoJvu+xjgUmK0LeJNbGgy+tk7Iv+OcBB8CnkU3Sp+kE040VTcY+xVIEUq/47FhMhCB8KhyAlXkxz95VuHrMyGAf6WRfSsGbiTiJU0MDdoB+gjGAacrRpn6vnlPpW9WmdlG3JhKBmKSAM6DHspUcE5t1YZLOlwXQ36dJpiHLANopkXmGfDDZh4kAIu1Z7rOyApvOR3wK2IZB7EXw96FjAF3YhAOAPQj6MLSZKNuClbkJO8AXZgNgAM5kkuJbhw1Z9CPm2QXAjgnNs4hWbbu4CaZiJURJx0DZHlumpV4psWOxSwHnBDVW90SZ3ZOA2cKEV5dbMbrtLJNpsw/aC7q/Vu6qPCKvRDZj3zrr1qxTwNbt6NIxUDazYQC8gPS3YVtqEkWEsX19lRJb7NkwgHz61ZgB5IBszeJ5yf8+bQVSQFYEMlUp4G2ZFLBTAbswDwcAexBpL2ALFTCtAbTsBcyn+wCkDzWLFHB/NX0omqwo86xVVynDHGAwUwFzIhCLFHCafuVVp3ZsT42z2zABgPlUuA2YnuCYTDrZA/alBbWyPQBkjK6FRRJlAAdrXBraortMflFhwr7x96X1PcGNwwZ8UVaZF3CEhoxu9jlj3rKSF0jVKyUGvkwYQP45YS0C4YCszXHwCyxa7mIjAlnPi0CmKgXMlac4EYgLm3BG0D2IlK0xT1MxG5iSb5U65dO3QDrhmtSd8SwiHbnJQ62RE4HYMC0yEGmmAu4UgdiAFj49ZF9rVWICCKMawDwTalFWIBKBAHbXo4+rWzMBX5MdqWzzyTpdmJRRKcUTrh0DmEsBWy4q6G+sYZDS55mzOq/AtXhG8Pc1EN8TNV/PRJkdh6UXIV/GUK+UWNlLy6DzBc8A1ivxcRiLQASpbBuVfa3is8Vu1zWALwgG0AFAF+bhAGAPotpFmitjz5BMUIRAuz8lb5abHYM5Y9RfTVvmmDxQmlIRiJ3/XbwPGxWwIJ1umwK27KDBC1FYus7Cp6xjUWFQVsCzdyXfg+8BkWEbNh7Adcfo2gswaFprsFa2EpHkrWgYC2lZA9iNuCneh11tKn9f5xld3RawfC9gqxIN7jlV8tNuPyZm0pnFUfLMtP19ZexsLBjAOpfSt0oBj/E+gFNlA+NqAF10Fy4F3IOolexrjOjDq5pf3WvuI58CtlHnTXApYBszaZY6zYEWmxQTTZvasKlNTm1pIzrIpPssO2g0uXPBagBbJmPIg2n79oBMgGGzKMgISSwYo7w3pGEKOIxIht2u2qSAOfsVwFJZnllUWKROOYBUt6ynzDgFcItCo57jQfrbqJYtMg25eyplAO1+XzZG0vz31cp2x8G39huy7JwE5H0Ap94GZqrS0EB8bzz49BYj71kXL4xwALAHQR9ENopNvkdnJbO613uopT6AWfWsSWpGZCVj8lDjWS+guxQwq6fsolbKVunIs1ZMBWxoA8NbfjAVsFEKOAumbdhUXgQCcIpqC/DUVy3ZKbJzNYCmKeAJztaCt4GxSgFXs0DYzBqokwm1WVRUSl6GOTNjMlMQymcFbPZRLflcz3I7JpTuB7AVgZSsakKBbA2gTV1oRkVsWQPYDMLMNlNVf/dCYQA/89OHccIFd2DZI+umbAwu7MIBwB4EAy10RWrwQOKLs7P1WnoPRhkDaJQy5JgWKxFIkGVaaCo7SlLZRRH34O2e+eL3YWUEzdnIDNvaVHAg1AYA8rVagJ0KmPXxrdql09thxMBFX6WU3tfbUQVM7+uS79mzb9z1BFKRlhUDWPG7s6LJCVHsGEAfnudZCUlaHPNlx+iKRT1GNjBdjgHovgaQt2katDSjzvf+ne4q4L8+uw0A8Ohz26ZsDC7swgHAHgRjvix8xvgUMK3X4l8vigkJ29O0YEoGeBuYbmoAeesRjXHwk0iHCtgAyPJMCd96TDc1wfcqHbZof5YdA2fZYdMvNQemTe6pvDWQaQ0fX7MYM4Dmlh95BrBiyPiMcWUJcRePbmxg7MsKhF08jM6DrD7WjtkG+EWBHQNokzrNA1m66DVTAXeXviWECOt8zY6jO1EPkE3/Avat4KKI4A9PbjSqEeaDV6OPt8zaf/YyaFeUjeNTUwvpwj4cAOxBVHMPZqvVfSk3SWlO+JPtdKIEeC9Cc7Ul30+4m1ZwFcNaRv4BmFeNmjB42RRwOgYdFpIfR6b/bcPswZr6jKU1gGYq4O4ZIxkA1AUMdHvfo8y0OfvGRCRVO/ZtghOAALBj34IcCO2CVeYZQJva1nq+PMKiTCTvs2kyDr4G0KY8YlKSaTDpBSxiAE3S0EFEQH+KtXLJqr2gqEzEZAxACnjoYt02BfzTB9fiLd+8C1/4+SNW2/OLU0LM6yl7FRQQbxo3Myd3MfXhAGAPIhWBdKcCBszrtTpSwBaTw6QgBdxVKzjfLJVNty/5KdOTTvg26boSA9KA/mQrMoIOI2L0YG1ytYx00rdKAVuaahNCUh9AyxQwn+7zPI9T4FowX2U7FpJnAPntjdi3DiNoe2uhumUP3bwQxapujWOV433YLI5ENYAWgL5MGUAbUU537B3PNmZqAC2NoG3T0JsnYuC100gfAHsbmEee2QoAeHzdmNX2+dTzVNQBNtoh+61uNOxO42LqY4cBgLfffjtOOOEELFiwAJ7n4brrrivcptls4hOf+AR233131Go1LFy4EJdeeqnxd1dyzJdNL+AKYwDNHu55tsdKBcylkel+Jgx6S6at4OLv9n2PFaubMIB1LnWcKjb1gU/GL803YyH5cdQqfmL7Ee/DpA6QrxnrSgRi2UKtGUSMJclbA+lOlJNt8aLCqBVcbmFimgJOTaDpMdgrcPuq9mwqL+qh50G3thVQWSR1kQL2za8HX0dopZ7NnUu7XsDdCWpaeQBoUe/Me33a1FIC6XHMHor7Mo+3Qu37gY9nt8ZMoi1zlk89T4UYZd221A7HMYAvvthhfADHx8dx0EEH4YwzzsBb3vIWrW3e/va349lnn8Ull1yCvffeG8899xyCwPxH1PFgtqwBzOxDN12XM4K2SYtM5NgWk+8Hsk3eaZR9D2FEtCZsOlba/QIwnyh5doBnGAB90MGLWTzPw2CtjE0TbWxrBNhpRGsXmRo+G1PulIW0Kwng2cq+DtBhJyzqBrSw1KchkB2XKZkt0q+MTbWopxSlDOk4ShomzJ1iGPsUMH1GMFGOScchUe2chbF3Xxc1gHwXDjp0kzHQa1FOFpjdsIi1sm8lbgLSlPGsgSp7bawZsLIR3Xh2awMAsMECOEURYYCv7HsIIjIlQhB+7LYMICEE597wEOaN1PGBo/bu1dBcaMQOAwCXLFmCJUuWaH/+5ptvxq9//Ws88cQTmDlzJgBgjz32sPpuNsFY1N+1cgDQFMDl7VOsGEAORNKJyUbdV+UYvGrJRzOItMAXPQd83Z5pui4LAGMDZM+La2N0J8p8KtuO5eAYwCr1AbQxgrbzlqTMGW8ZYnpfNnKeb1Y1gB37MGMhaTproJbdnrJvOibpeRayGwaQZ62A+DjqFQ0AGGQZXRvw1VEWYNHmUARkTRaqkzmW3+a3wT+raIbDpP4uXwtpVQPIMbr8wogQwkzwi4Jeu4GkR3UrjKwAIGXPbJiz8VYAevnmDdexevPklDCA63vAAK7aOIHv3PUkKiUP/3LkQu3r4KL72GFSwKZxww034BWveAU+//nPY+edd8aiRYtw1llnYXJy0nhflKWx6gUsE4FoPhjp5xg7YNGjk6WALf3WaAqGB4Amky09Bn6CNa23ohOc76Xbmk6UebambMEY8SmmulUKOAWQgDl7lwc9QDpRapcVSCw/dK8FIaSjD69pCjgFgOXM9ibjyNvAlLtMv2bETbpgmlOdArDy4OtgALtIn9bK2W4kugInWW9nMxFIym73ol7aqkONlNG166vMaqYt6gApAzjeCo2VwLT+r1LyMHswZiKnogZwPdcRZfNk2yoV/lwCItshMZq3XHQfOwwDaBpPPPEE7rjjDtTrdVx77bVYv349PvCBD2Djxo3SOsBms4lmM73ht27dmnm/m17A6UPNDPjkAaTpZB2EEdtHf6WEMBm70eTCGDwewOmfi3aYPQbA/FzyBq90BVkueWiFJgBQzADapZh4I2jzCcpWDc3AvCCdrgs6pMIizYdzOyRsIkiFQYYq4A4lcwq+tNm3nAikalijm/enjO1oPLRDvdIGQGCgXLYXcDAQ2UU7uSpX+0ZbTvIdiGTRmQI2uyeyFi4lVqdqC2IBS1EPdz1ruUUFv4BVRZudSw9D9TI2jreM28E1gxCbJtJtNk20mKhEJygAHKpX2CJp3KBuu1fBp4AJiTsnzeRS4zrB1xFuawRav20XvYlpywBGUQTP83D55ZfjVa96FY477jh8+ctfxtKlS6Us4Gc/+1mMjIywf7vuumvmfRuVIGPwStlVre5DjYGvchYA6j6YJ7iVZ1+1ZJXaaTMA2JnC1WIAAxWANGMAKXMGcAIKzck2X7dmKsAIwoixhbY2MHydFGBh4ZKzXwH4fsJ2DKApC5ntf2vHWuXFMJkeuLrsW769oGGNLg/yOhhZTeGB1AfQIgXcyQDqt9Wj96Ut89XILQpqjAG0qNG1ZgCzv3EbdbqqplM3+AUvFSltNWQAedADdJpLF8UYVyIx0EVLu26j2+PI78P1NN6+MW0B4E477YSdd94ZIyNpdf9LX/pSEELw9NNPC7c555xzsGXLFvbvqaeeyrxvZzORE4GU9EELr3xlDKDhg5WmDPMdF4KIINKcKPNCFsDMqiIFsTyANKt9a+SAU7wPyxRwLmVoCsbjcdiBab7XaTwG8y4eQBYw2daV5hW8uqxXk2M82cLG0Mcvz4xT9s1kH53X0+6e4vdhq6i2FfUAcp9N3ePoUM/ywMewLKBuyQBmzN4zljoGRu25Z51NZxde1c0b7xt5KvIpYAvfVCBVANPYZGiinLYALbMxTAV4ygtYNlkIQXgAOFVt9aZrTFsAePjhh2PNmjUYG0s9mP7617/C933ssssuwm1qtRqGh4cz//gwZZyAtEVTJccA6jAEfG1aPgVsWmzfn6S4eBCnu488iwmYdfIQ1wCapS3zaTLAHDzlJzlz4JSdaG3aZaVgOttfWrcOkSmqBUDYdFGQb8unWzPGg1CWjrewswGAWhescIcZtSWr7PF1pab76PABNK+/y4NhUx+/TgBoX8vYIZCyPJfZmk7D33i+W5CVr6Mdmwqk7G+l7GMo8Qs1BS7rtjUyf5sqaKnYKzbvLyVj2P4q4PU5BjDfJUUn8ilgmxhrBrh++WrrrizTNXYYADg2Nobly5dj+fLlAIAVK1Zg+fLlWLVqFYCYvTv11FPZ50855RTMmjULZ5xxBh5++GHcfvvt+NjHPoZ3v/vd6OvTr8XgwyYlQR88NlYV+Qc7YG40K7P8iMdmNsHw25oU3Kcp5E4RiS7LkWdJAN5Sx5BFtGwd1mRgPrapSGvn9B/M+XS4bU2obT0m0Fl/l68ZK4qAAfoUaJjWU/KdK2iYt7RLQAsTYJjVADa57SmQtWVT86ls3XMJCIygDQU1vECq7HvwPM/YZ1NqA6NZ38qXNvD9jOMxmN0THayyjRl17nqYOTeEbNtBCr66ZAA3jjUlnxQHb/81MIUMIBWB0GeFDQPIC0lsj+E7d67Ev161HJfesdJq++kaOwwAvPfee7F48WIsXrwYAHDmmWdi8eLF+NSnPgUAWLt2LQODADA4OIhbbrkFmzdvxite8Qq84x3vwAknnICvf/3r1mOwsWfI28CYeFPxn6GTbdVwVUwfJPQhkn0wG9YhCtKOOilgcdrSlK3Jgrd4PGaea/nJ2liJnAMcNq3DWjk21BSE5rfn/984BZxje3THQY+33AUIbQnuCdPFDWXf0t8WTb/a15WaLvJkvo6A/n3ZaQNjJiThy0wokLW+J6p2mYamxA7HZAx5INxtKzjActHOuR7Y/MYB4LkOBtCMueIXaYPV7gDgA09txmZLDz+aAn7J3EEAljWAY92ngJ/eNJH5rwu92GFUwEcddZQypbJ06dKO1/bdd1/ccsstPRtD2bBGKYxStSSb8A2MoOlDx/fSiSWtO9NjnSZyfm2+7zFjUX3VZzZtCaTj0UkBp6wVt71hwX4efPFjMJ6s8ypDw4mWAgabdll5NtS03osxiIJ6TJtWcPxYgPhYeIsZ4RhEjK5xCrgTfJlO+BRgpTVjpjWhnfeUSWkDIPIBNFczt3I+m6apz3xdKR3HZNuCySxnmbOmpsApX6NL6+8iYp7K7sYOh28FF+/D3OOSF73ZtpOjDGC17KMVRMYeenyZBv2NmDxnaNzx6Hq885K7ccDOI/jJh//GaNsgjBjjt/fcITzw9BYrL8Be1ABuSfoib550KWCT2GEYwBdCmD4MxClc/Qm/F+k+kW+c6XEwW4RSdoIBdBlAAWtFmVDtInO5Clg/5SdTAZsxiHSi7QYAdqjCTQU5XdRTpmUB8fqQb6unM1EGrCa0+xRw5jgM98EmalpPabhAEzKAXaqZ+T7Z+vd2FjwZl0e0s8AJsHhO5OopGegwLtEQPWcMr4clEAY6gahVb2buN2Yj/ANSD8BF8xLmzJCB41PANsbeNC797QoAwIOrtxhvO9EOmZ3P7rP6AZgfByEkkwK2BYC0P/MWQyZ1uocDgD0MY3Ue97n8hG9ioMw/2M3VeVnQw+9PV7zAAFxGxat/HEwIw09QhuKHZs5wlx+DKYNn27c1P1F3ZanDRCCGNYACNtZaPJHcE3zNltb17EEKOK+O5/ehw74RQth3UTbZlAkVMYCmQDYvnuD7ZOve23nmy7Q8ImUA7YFsvrMLYwC10/HZVDi/D10g3BsGMAsiq4b3JZBl2W2sv4CUsVo4JwGAhuIJKgLpr3Lm/RYM4Ir148bb0KCLG88D5g3HfZFNGcAtk+3MubdNY9PzaVODOJ3DAcAehqnFAw8M6IPEpOZLxJKYgg4VcNJ5qBFChDWAZkbQIhWxWWpGKAIxYHz447D14EsZI7saQB605FXh2lY0IlbYkE3NG+7G+zOvTc2m9C1VwJb3pUghzxTVhuxdN2novBE0wN3bxgxg3hrIjNnOgOmy2e8rD2TpPa4LABsiBtAQTHfUAFr08u12kcd/tlLyrcz/gRRQ7zwaCw5NgQsv3rPpk02DB4C6qnQafNnNSF9s/rzFMAWb9xG0VQG7FLBdOADYwzBWbArsMuwmWvuVvQg4mbCI/IPPtpWbqBdw6sFnx74BZjVfmeOw7MqSTy/x7IKOp6LoXJYNUun8PrKCHLs0csbY22CyDoQpfcsUcNkOfAWZ65nriWwovhDWAHYjZjFktztsYEwXBYqyAFOPzDwD2Ar07GzyBufxGMxAqJQB1AShEVfXnIpAzGsA+YWibQ0gBcQLEgBoKp6Y5Dr+2BwDADyzJStEaWgqumnwJRJ0kWQKhPMA0LoGkEsBmwLZ6RwOAPYw6INd1+KhLUpzGUwOojSZafo2v7IH7EAoIGnlpgUiO4GsaWpG5QNookTmv9vWBiafAgb0Hs7CMfjpRKsTIuBkap8iBl/66VfV9dRnU1V1a/qLCoBLAbOaUF0wrRiD5vXoBRiWpy0NWX7+N25okdRhA1Mxu7fzzBuw/WsAs51d7DuzMB/Akm/V/x0AJlvx53kG0AS48Aygqd0VjQee3pz5e6uhhx5fImF6P9FYl7O/sUkBhxHBtmS7Vhixc+OiOBwA7GHwPTVNJqmqMG1pl2ozti4RMIAmgEFkRQOYsU4qH0Bjw11eBGKUhuaPI8sAmhbb51PAgB4gF51LUysbkQiEnUvjFHB34EuUAtYHoar7UseLUF5eEWku0Oh5KGd+X2YTnUoRbQrqO8RJmqCDMVaCsgCd60EI4UQgWRDKj08VqUBKtMizuy/NTbnTz3VjBJ0RgbBsiWn6ND4f84br7PsnNRXVAG8DU7Y6BiC2f+HD1ESZL2+wUVMDwPqk9jFJgFkxgFtzaV+XBtYPBwB7GKbeVkKlo5F4ggLIdFXN0reWtT3x/vRZJ5EVDWA24YvELNYCjAzLYa6o9j2wIv2uRSCGkyQ9V55gDLrMmWhRYDrRChk8g/uKjjUjAjFNAYvYNwPj31QA4qXdSAwXaBR0l33+PNi15hOBSFMfQKqyT89DD9TMmueSklO1nA0MPz71GOjv055Nlf2+tEs0grTtJbPNsqkB5EQgZVsGMAFPI/0V9pqJWKzBqYBtaiGBzhTwlkkz8MXPHTZ+igAwkQC+WQNxDaENAMwDPltPw+kYDgD2MPgJU2fCbrIHSSeDp1e3RicGfrKPH9CmKmAx22Pi4Ze9lUy6FYh8AE3OA9DZJxTg+yrreypmmRqzmrF8ypBXz5oA4QpXE2rSG5r/nm6sgcTpV30WUWXsbdqFI8sYdVkfywE5E2ZapKg2VsgLwLStyblp2lG10DQ5D/w+/EynGx0AmHbPYGMwrF3rqAE0BD7Ce8rCyJlfZJleS/pZet4Hq+W0H7EBAKQq4HoltYEx9QHM38OmDCA/d6SKbjMWkoLyWQOxiti0owrQKTzZ7KxgtMMBwB4G31xcZ8JWe7YZbC9Q99myVvz+TEQg1TwANFB99lLMkk2nU9Bhdxym6lnR9TQS1IgmasO6UlUNoI04Kb8Pk/syK+qxE0jZpqHFzFv6/yb3BM8AmoLpQHQuDH4bQRix625jFQVwqVOBEtm0zlfU3s/oOdGFF2FHSzxuey0hSs6UO96HOXvG35smxv00Glyqt1ax6xnOdwIxZZRF4wCArYbgi2+rZ2q5ld/HrMGYAbSpAXQA0D4cAOxxWNm4CLpXGDGIEvGEjvI0tbrgUsAWEy3v4cePyQwwdII388mBB0/mbGo3XoTM/863nSTlwIl/X28fdpN9Zh+Wk3VblAI2ZClS1spOgSsC9CXf63hfFYEQRJqCaYEIxOQZkREu+Ml4LBldy+shKk0A0t+aDnDpxcIkn8rOltzoPOsUiwojEUj6G7MBkJOcfx7PnpmwkEIjaMP0ayPXLcq+BrDEfiOmLCTdx+zBmAHcZpMCzqV8N0+6FLBuOADY47CpO+NTuGbMWeeq2lR5qmQADY6BBy2AWQqYHofIIqIb25DUl9HuOExZK6YOtGRTVelbQDddJ/JUNAMMKn9JExDajfWJqGbMZgw8ePM8jxPV2Kayze4J+j1CSx0D4MSPw1icpARf+vcUX5rA78/23rYVgeTPg+4+ROUuNkbQPKi36QRCU9F9lVJcJlI2K9sBJD6ApingZByDSR94Uw8+1uaQTwEbClHovckzgKY2Lh0iEMcAaocDgD2OtBjWpMaITzuaM4gywKDzUBQxgCZGtaJjAMyArAr42HqlxfuwqKfsgqEQAgYGposVfqJ6MZ5NNFpU9MAGxlaxKfYR7C7tGe9Pf6ITMaEAbwZtwmR2MoC657It+o0a1PDRCZIXLnSbOgV4lb5daUK8P8oAatzbit+nsSG2gAE0yZiIzMWNfAC5chOb7Sdz7QFtWkZO8ipgVktpV383Zyhm3/JAqnB7XgRiy0LmGMCIwEgNDYhSwI4B1A0HAHscJp5MQhsYg8lBVWwP6BZnJz9i61qrTtCS3Ye+H6IIAGqnDAXnwqTzg7AfsaEQRaXANbGB4e8HPuWmxcj2IAUsXljE+9A7DnkKWKdeK9Mi0dYIWgAg4zGZqNMF58FQgUsFRMJ0uGW3H+N6SiE7rg++RCwmvz8TBrAbZjqvhjbtUS2shbRQ0PIsu2lfZkDQVs+iY1DaCs7eB5AygHNo+tWQAeQZVd6uyoTBoyBytL/C6udNhSCU8aPbOwZQPxwA7HGYgAZRbY5Jmkv0YPd9jysyN3Dot7WBkbADZSMQKUi/GiodRQ3vTVTA3Qpy4n3IFZ9awEmQhuaVxEa1jIKUoz6Q7c6Wp1sFLn/fieq1mjpjEHj4AWZqZDrObsRJSkGMgXpWaJ9iWjtnrfQXL/KM7m3R78u6FVy8nW2P6m6uZ34/NqnPfItBEzU1/X76E+qmFVwHA2hrBM3ZwMTjMEiHBykYHkhS0aZWMJQBXMBMtR0A1A0HAHsc7IFiVHfWyVqZFIh3szLn6zjY9l1O9vyYjBS4gto57bo1pszrTO9opU4VQhRzBlCQArask4rH0V0q2+R68j2RbT34RMpX3uqoaBy8J6PQS1CnG4kAvAF2RusZUY/B9mGU+ufxANgk/SoSepmag3crwJD9xulvzcQHsGJ5XwLqMg/bhaYp+AojkpYnlH1jNhbo7Kpi2r99kut00ce1grNmAIcsGUDOCJoH9ibj4HvRD3YJAPeYNZD87VLAuuEAYI/DZHUvrjszqJ0TPBD5v3XqzrpmACUg1EbpKKp9s+0SkN2HpRehIQupAl8mVhmddWv6XoDClKGBKbc8/WpyPeXMGVAM4ES1Wvw+tCZ7xgDmzyUFXyZsqgDQGwAOQKyo1uto0pnKNm0PKL4vTRZokoWmAUOuKrHQZdiFTKaFMKgbj8y8JY4Ng5g33ze1gaECEPr9pnY46Ti6rQHkVMC+/gIvs48gBZG2AJAaQe8+qz/+2zGA2uEAYI/DRO2oWpmbpfvy7BudIPS9sWxbbhWOoesHsz07wBg8g3pKYR2iIQvJT5QUWBsJaiTnUstUu8ves/xEKKot1esEIgf0QDGQFalW4zGYsz3VjoWJPvBJ+/iKbGDMDJT54zepGxOqiA0FUipluFYdoowBTFKYTY2i/ZbApzMV9Rgy7KJnlQ4rHKjOg376lUY1V/umG408A2g4holcDaGpUwAN+juzrwFMF90l32Pt3EwEMTyIHKwnANBwHFtzDKBLAeuHA4A9DhM6vtsCb5kC1+SBomoF180YzFLAiknOEHxlJhgLH0BRDaFugbfIONiMJaETXBa0GN0TqlSbxiQpsh3hx2SbauMtWHRTwJ33lMG5FLRxA9JFgb2gRj8VzoNEW/sTCmyyIhKz+1JV3tCN0MuGAawKwbTecTBALvh9WdcAmpq9c5+r+L7R/UAjrwK2TQH3V2PAZJN+JYSkANC6BjA9jvj3bcamApwIseJjIDme8ZYZAKTAdd5IPTMuF8XhAGCPw6aGz7Y2RybAMAFwQgNlg7SlbAxmKmDRytxMVUZZiKpwktMfQzc+ZSLwZWLxIGurZ5K2FLGQNvdU2ffg+5370CsLUCvDiwC5iJXmtzdSlkv2oSUCEaiZTe4JCtD4/tLx/vRLEygDWBZdC920pdAwvrtFBZCy27SMRLkPURraUAQituWxWJh0UYfI95iOBXfJ9hYMYJ2KQAwBIK8ABrK/df3+0Ol32dYANnLlQzZ+hEwQUy5x19LQzibZx3DCIJowkNM9HADscZiszsXWCPophZYgtcP/rWUDk1uNxtubePgV2cDYPZjLmVWtPvARtbvSSQGLgJNpxwVR2tGmXZZMUGNyLm1NtWUpfRvgI6tlLHpASxlAEyEKTZ36WTbV5J4Qmzib11P24rfRHTMdZbbLjkEfhObT6SYMoErMojthq9Lhti0KrU3SyxS8WdjASEUgeszVBN0+AYA26VcetFMAONYMtNpN0sgLCE1+W2wfLAPlG/0u+KD3Fq0hbIeRsZn0dA0HAHscqQq4uxpAI8ZIJgIxUOdZ9wKWjMEkbanqEqC7D1W7K9t6yrLhA011HEa9nbsBDApPRS1boIL0q0ntm0ydXnQcomsZ/939wsRMGNSdDUzQk8VRyjjRsGWtbC1YZOfSps2h2AfQLAVs25uZLbAE25vWANLt7HoBU9CTGEEbjqHB9QEGkvIKQy9ACt5KvocZ/VX2ukn9XV5AyMorNFlIIM8A6j+vRfugNYS6fdNdOADY82CskWXKr1uVYvy33so6ilLLD7EIxG5VDfBWF3aAgWcrtMQPCrNbW6bFpHaOH6fQB1CjLkV2Lk3saNS9Zw1S+t3U33WZAk4Ne8UqYCMhSsfCxCAFrEq/GnUjEbOQev2IO9PQpsx0typ7maLapBOIaLFqKwLJMJkWbfX4GlvTNHT+mW3qZQhwIpCqXQ1g2gauzF4zNXtvcn2Rq2WfXUuTOsA8A2i6MOHrEONuIuZ2NkEYsTlmqF5hr5umkadrOADY4zCxDlHZwNi2/eL/Lnqg8HUg3YpA8vVaJp0GVNYlQPGEL/WuMwLTHEuy4XHgm4dj3srr4/cMbWCEALCrlKFBKjugFhHisoKo4FzIWMiqwUQrW5joduFgi5JelBVIUsC26XATOxxRRxR+f2Zq5s7fhqk9Ucb/zkboJVVU6y/yasJzqZsCFomsuruepqAj/7wzaXlJg4o4bEUgLAWc6WhixwDSMVDwZAQAc0ymMQjlDd8rWTsb3eD3QVPAgKsD1A0HAHscRv53CgGGUS/hjlSbnvUIv3LvVgTSjXBBxBjxqtGiiS72v4r/v1ZKgaxRGpo/jus+ADz7J+x9x5na2/OfqwoYBr10enIe8mDaIG1JPyPySgOKwawISAN2wCnfhUNXMSnqfpHZ3iTdJ7kvbdWv3YI3232UheDNkJnu8jnTjdWTmAHUrwEkJDVgtu3NLLoepix/HkzT748M0o4dIpCS/iIRACaZCIRnAM3SrzwDyI9F14sw3kcWRJqm0/k6xHq5ZKRMZ/uQAEDTOsLpGg4A9jhsat9s05ayyVp3VSxqNB9vbwBiZRNtMgadhyJjvmR1ZwUPNZl5sVnqlJvkVt+beU/fiqbzXJiogGWAweQ4VKyVzj6KlOVa6dd8H97GFoAQ7bIA+Rh6B0J1FiaBYB8moIWlkLtgzkSsl6lJerf1d92quuPv6a4Okb9eoho+20WBcQ1gLuvCX1vd69FtJ5A0BcwL9+h9bccAmjD8bB/trFrftIaPLvR8L/5NmLC5+TFUS7EXoU0aeTqHA4A9DiPTXqE9g8GDWcK+6U7WbCXahYhEmu7TnKQIIfLaN80OGBnvOpEPoE46nq8PirKF0KYq4EyKyupc2ilXo4hw/Ws7WRL+O2SRgnExcNJhGJiVTMkDHvkZ8L+7A3f+n34KWGoEbW6qLU2nGzCA1uIJSQ9dG9ZqcfNu4LoPAs0xY/GE2M+we2W4yT7EKmB98MY/T21tYMQ+gN2dS35fuibMsk4g2j6AOQAZj8MM+OTBm6kZNYBM/Z7dGNLtPc8zrm3lx0CzBaZ1pdM9ysUfcWES7EegZT3SOcHYsD2yFJNuDWA3xfby+iC94+D7pdr6GfLedVm/NfM010i4mb1GYMm08ClgkzSZFEzrXU8ZE0ptIggxAF+9qL8r+cCVJ8cv3vJfqMy9KX5f977sIg0t6uIB2N0TmfSrwQQjEpGYjyH+zAfX/CewBkC1H5XD/zvev3GPaoH9iVYHjc77OrMPI6N1OzUz/zwV29kYLvLY9qa/8SyozyyuggioFe+joxOIIQBUlQ4Zp4DzDKAF+1bPgy/DOsQ8g2gzBto2Mt5H6GoANcMxgD2OssGDVdQeyajvqyR1qgs6nk8GsMTYtyLRAZfakdUR6qYtJUIUPR/A+Dt2nnyEveaBoIJA329NwHLYpIDlIhA9AYd4H3qTtVwFbAC+knH2RZPpi/UR7fSr1IrGIA0tFdQYpE9F6dduPfyAdLGk144u95mHb8jcDzp+ZyKT89SuSgd8yco8LM5FiWet9H8b/DNAaONiWWJhUu7Cfw+9piXfA8X3umKxjk4ghuybWMxiB77yCl5dEBrvI88A0uMwrYWk58HcUzG/WLT1Epyu4RjAHgedYEItxaYgBWxQ4E0f7Hm1pKkKuJMBNBFPkMx35vdRBL5aKtCiabrbCjuBNJBOFCZs6vzxRzKvj2IMW8KqaJPOfQgmShsRiMyCpejBqALT1ZKPVhAVsm+ysoKaUeoz/syc536Tvjg4T/u+ygDAZ/4EPPoLoDaE6oK3xdvrsG8SBW5ZE0zz46wKGCMTO5w8A2gDIlmMPQP+9miHpIOZk+2j2xRwvq1e1WSBxbNvG1cAj/8K1drfaY+B76oi6lBjKzYzAZD8WPNZm1YQaYPIPHNmskgExM8JaxsYS/DWDiNW383Al2EdYT6FXDYcAyAS1LgaQJNwALDHUTJoDSRSbJYZgIwtO3xf/nAvFE8UTbQ5JRgNo8m+IG1ZBL6yrFVuotTcB60l6RRPmE9yc8f/knl91BvD+mi0cHt+H0IAaJQ6tUsZ0gmklEuF8/ssOhcyWx+TCYLuY/bqW9MXJzaiMqCZyk7eHyXbgP/vBFaTOfiW/bSOgf+MrDTBJI0squnspnbOZKJrhwQest9VXf+ndIxRhGpBIkfZHtAgBdzZo1ov7cjXplZLPnDh3wLNrdjjkE8A2E9vsRuJAX3VoJevijkzN4LOprJbQaTNXHUrAulW1AMIGEDDMYgsxEwWBIBcRGKjAmYpYItU9nQOlwLucdAHg5b6VdQJxMSyo4CtKfoxsx+grAawB51Aii1c0oeZ59lN1qI2cPH25mzPjImVmddnYJu2szyrlcqkmPT7pRalLU3OZT60U8B82nL9o0DQzGyvla5LzlX/1ifSFyc3ccehB2TnBmsygpz65DOZMaqiWzNq/ntsfQDlnUAMUsBRhCFMZl6rPnk7+38tANdlyrBbO5ssy+8Bza0AgJnrfq89Bmbs3QM2tVJKCmKffRhVP9LeHhA/s00WmkD6LGCdQBLwomvBogL0uuyZjAE0FZEAnQBOPwWcH4N5Clheh+hEIDqxwwDA22+/HSeccAIWLFgAz/Nw3XXXaW/729/+FuVyGQcffHDX4ygZ1BipzIsBjdq3wgezXq1VL9iePNOizQCy+qROplP3wSoTLuiOId4HgY8IQxOr4hcG5wMAZnhjWmOIP0P91jo923Q8vjIT9cRG4HsnZtSzuuBNdC61J+vkXL6k9RfgglcA3/sHo+0BblEw8Wz6Igkx7E1o7YPaQ4xEmzOvV5ub9MfABBz5e0K/xjZQTLRhRAoXBbLrYQZaCEaSe5CGvz4tU9A7DkXK0KA+Vl6bqrcwAYDq5Dr2/1FtRrJ//d9WJ7NtxqYCyXn45bnAN1+DGY/8MH7PkH2zVTMDHANo2QlE6KlY1isToZFnAE3T0Dx7RxfuJl2w+H3UOxhACxVw2Q7ITvfYYQDg+Pg4DjroIFxwwQVG223ZsgWnnnoqXve61/VkHGVugigKYSs4gxZoohql+O8EdGgygPUcA2jSnFyaAtYsVJelsfl96gsXssdhmgLe2VuHEgmAUg2YfwCAOAWssw++G0lt60pg81Px/xuJQLg02Y/fAzx+K/CLT2orwztEB3/6MXDhYcD6R7VTwPQY9p28P37hyTuANcvNPPiiGExXuMkeAEawLf4OzRTwcLgp83qltTkZg74Ct2NhYsAAiuoIMwx9wbmQ1SGaqmdHMZ55zRtfp309s9ZAfsx8EWKWApaKk/T2kbFpWv9wun17q9YxAOn1lIubDBn2334VADD6u88m29uJQAAzYRGQdgLpy4lAdI2ghaUm1jWAFHzZW7jQsO0EktYA2vsAuhpAu9hhagCXLFmCJUuWGG/3vve9D6eccgpKpZIRaygLo2bzooJigxZoKfMlA3BFTIuYATRrdyVLW6Z/hxHpMMMt2j5+TS8lUNS/VicF3Aoi7OXFKUbMWggMzAYQp4Djcar3wfpRYgIzvvf6OHX5z7eiWp6f7F+/F/Bwa20M/uhxaKaAMwuK9iRw9bvjN353ISqlv48/o3kuM6fyt19F5TVfjceoWWs1G1vgkRDwfGBwHrBtLUbINgDDxSngZIyDnCUPAJQTBpCyb3k2KHscMvBl4xvXKQKh+8gvnvjIpE4JARKmxNTOZjTHAGLsOZR9H+0wLF4UJPdMDS0MX/lGYO39wIw9UH3zT7THIKtN1VUS82IY/9kH2evVyefi941EPbnFrkWd71BjTbrf+YcAm+JrTQjpKEOR7UNk3aXzvCSEpPYnFLQY1wByC8UkjNOvjAHMspC6aeh8/R4/HtM0sq2NDCBnAHXtcKZ77DAMoE1cdtllePzxx/HpT39a6/PNZhNbt27N/MtH2aCOQQRczFqgUfZMlhbRS7V1AEALxWcefJV4JlMx4evUrRUfR/IQkKX7NCeHvbxkYpi1N9A3E0CaAi5W4Mbv7++vgNcaA4IGcNUpqJOG1jEA6bncY/VP0hf9MjuOon1kGMD7v5++wTM+mmzqUMTd2w9fjxqZTMagVws5z0vYu8F5DEwPk23sfVVQdmIw2Jh5vdRI/9YVs9ja4QDIMmd0e25hU7QPpiwPVwOf3xO49fzcGPTuyxHKAFYH4/9yDGDxPRGPcT9vJcpP3w2ELWD9XzG07j6t7flxymyWjK7Fs6mAhZYImIC3UW8SuOljwFP3pPs03Mf8Z25jr/l8yY1W1yKRktjMEJsmRDpFIMWLxHgMAhbSMP2ar0M0VUPn2bvMGAzV0BS86XYKyoyjnQXTLgVsFtMWAD766KM4++yzcfnll6Nc1iNCP/vZz2JkZIT923XXXTs+w6t4i6LQdFexiok7aHSuBIH0wVAEWkQ0Pv/9QaJEVoVsDDyTqfoxytgFQD9dR21gZL1jdW1g9mQM4N5Af1yfNNNPUsBF5yG5Vi/zVqYvblqJ0XVxWzkTn7KBROwAAIgC1P1A6zgynSd+//+lb0ys164RomMYDLekL5IIfY11mfeV+4gI5nsJWBvaiYHpIQoANdPQA61kH7NeAgAoNdKUcGH6NeLuK64EQXeBFnE1fvy97Pue9sKC/jYOGr8LmNwE3P4FYN0jhvclxwDOXhT/d3wdqsmtXlxjG49xprct83rfxj8bjQEQ2cDoHUfW1idlAMsTz8FDpAVC6bX4O/Lb+N6+5PXA5lWpN6SWmjn+zOw1y9hrfis9L7YLXpPrmel/mweAhkIUUemQfvo11wnEUD3bzLF3/HjMU8DxdqxTkIEXIdtHuRQ7DbgUsFFMSwAYhiFOOeUUnHfeeVi0aJH2dueccw62bNnC/j311FMdnykb2MDIevnqFKpnlHXWvYDFDCAPxnRZJxnTAqjBsKxdFqB/HFIRiKER9J7e2vgPjgGcSWsACx5K9Frt76/MvF4LtmbGqNxHMoH0NbO1cwOJCrQwFU6vhe8BG59I39j2rPG5HOABIIBaY33mfVnQ1n6MARxeAPQnADBhFYt+G/Q7+trJPubsAwDwJ3kGUA+Q7/LMr4DP7RGzb1GYWgsVAfpI/vvSZUtYL2Gf+65ffUabvQNyDCAFgFGAmaVx9n7R9gAwKwcAa0ktXjcpYGNm2gew4TH2uhe1MQNjRgKrOeDqQq/7gBUD2LdtJXvNb6ZM9/ZQVFMBSNy3ltatmaaAO6+Hefo1u/g3TUNnegm3xoH7v48B6Im8aDRzNehWKeBkH/s0HgA+vxdO2rrUeB/TOaYlANy2bRvuvfdefOhDH0K5XEa5XMZnPvMZPPDAAyiXy7j11luF29VqNQwPD2f+5SO1gVHfgLyKUG78q0qdpu9JW8FprsxlIpB4H5qgIzc58OVZqslaVQOoC6aLagDbYXHHhHYYYS8/AYCzX8JAC0sBa6bj9/efjF8oxT2hqoGe8IHfR62RBYD9SUeNYhYySZOVGtl+xtueSdvJaSqJ+4MsAKw2NmTGKAva2o8BwKH5DEwPUABYWJuaTAzN+DsxZ18AgDe5UVtlTwHcTmtuARqbY/btF/+lzZTwv72+ZZ8BrjwFWLMcALQBHGN0I66G7y83oop2x3dIxxFFKQM4OAeojwIA5vlbtY6DjnGOnwDAvpjZrqx/KNm/3m8DkHdm0V1UzCpPAiT5bH0kPg5vk5Gop89rpS8+eSdjQnV+X+xZ1dycvtjcSkszrVtfmrBvojZuxkbQgrIZYxuYfB2iJYCslX3g+28Brv8g/mbtd5J96NYh5tPQ+rZd+X0snPwjAIK9m/HCxsRMejrHtASAw8PDePDBB7F8+XL27/3vfz/22WcfLF++HIceeqj1vpkRtIEBshy4KBhA7mEhV+cVpYAlDCBf51TEfLE6xOw+dGsZZdvzr+n2jpV1AonHoL4efjCJnb0EcHAM4CjiybcoxdQOCOpoYi+sjl/Y84h4DO1tmTGqgqmIE7aNRl+ystZN387ycrWpY8+kqZFCBW7CQlIAmNjhVBJQWlQWQM/zfHAp4ARMD4aaoIVOkq3kesx9afzfiQ0p+NK8L/sanBXNY7/Ubl9G3/cRofK7rwOP3Aj8f0cCT/xaO11GAXs/DwBBUGtv0do+/gxJGcC+GcDgXADAnOQa67ZanJWUMmCvowAApY2PpkBUs7xBJvTSVafP8rlaxtHdAMQAUMdSh37HEK+IJiHqSW2qDsvfDiOUEaDUTtlQr7HVTEmsSAEbCf948YStCEQ4BkMGMFd/p5uGpgByoBwBq+4CAOyz8VdG+2DzT8kDfnQ6Fi87HSWEZingZB8z2vHvfCSKnzu6tZDTPXYYADg2NsbAHACsWLECy5cvx6pVqwDE6dtTTz0VQFz4u//++2f+zZ07F/V6Hfvvvz8GBgasx1FmDKAe+wYIUisaK0r6XjddH/IKKhq+72mzHLL0K6DnwydaUdPQVb82JWPgxTFF52JeOwZuQW00BiwJUzKaqIB1Wtrt6z2FkkeAgbnA7DhtWWmlE3VxPWUEDxEqkwkArPQDAPqieNLT9YWcwRijefF/w5a2nyHdR729OX5hbsy+sTFBrzQhkwJOwDRlFYuYzGYQoYQwZWqSFDAmNyGxTtNm8PomUsUnGpu5fqN6wGkEOQXu6nu17U/oJDQQ5dKvSW2jLuPEGMC+GfG9BWC2tznzHartAWAWZQDnHwjUR+BFAfb2knte219S/PvSBfQzfA7IDu0EAJib3Ce6gHwwWQzR6A/1VPr0M3lLHTS3oqZ5TwHic6Er2gPE9Xu9qAGk10LXBzDPAJrUUvJjOLi1nL22eWAvszEkIHSX1uPAQ9dixjN3YqG3xowBTPYx2o7rpkcS4ZhLAevFDgMA7733XixevBiLFy8GAJx55plYvHgxPvWpTwEA1q5dy8Dg8xn6BeIcA5gXcWisKFXAS3c1mJfhC/dRNMkJVqM0yhqdH2Qms5kxaCpXZSIQnX38NdoFRze/hNXHXhy/kLBWwxgDQAq3b4cR9qP1fzsdCPSNAgDKHNtQmDIMCGZiGzwSAPCAmQsBgLEcuqlwal0TCzBiIDubbNLcR4gKAlTDZKKcE7NvpYk0La1M6Qc5ADg0n53LPsoAavgAzsRWeCCxjUwiAgGJMMufLBwDEJ9rHxGq42vTFyc3oezR+lo91mpOKQcYxtdrq9Ppfd8XZkFkLbGz0fUiHPF4BnAOAGAW9Oop6XHMpPfEwGxgXuxx+VJvldZxMJbeB/DsQ8DqPwBBS//3ScfAjmM0vi8AzIMeAKTncpBkr0d/SBdYGmA6iFJT7XI9eZVgxG9qjQFQM4AmZR7ZbkHpeSxaJAJiEGpi3QXwKVw7BpA+t189sYy91hdQhl83BZzU7234FXttJ2+jWQ1gso/hZgwA+6Ix1NByAFAzdhgAeNRRR4EQ0vFv6dKlAIClS5di2bJl0u3PPfdcxh52E9rKVQ7A5b2ndJSKOl0fdGsA8ylgQH9V2hasRmnoHIfO9rqsVd4PUVeJDACNyMMKshOCXV4Tv5CwVmWEGMKkFqDfiaaQZy5kNU5+K03HFqWB22GEuQmzg/5ZDET2RUlxdeH28fUeTcAB+mexFO5MCgA19kFZT3g+MHtvADkAqNgHSwEzAJgygDStrMNMz/a4Y6jUgdowgBSQ6TCAc7EJPuFqIcMWamgm7+sxiLOFANDsvqyHWQaw2tRnKdphxMoQUB9lrO4sbE7GqXdPzGT3xGxgXtxTeZH/lOY+4vf3/Mu3gW8eBnz7tcC172UpYF0GMGUyZzIGcB5jAPWAbB4A1kN90NEKo+ziyK/E4yolVk2WIpCyprCI316UAqZj1N9HZ4ca4/RrjgHU7oiSfG5R44/stXoi2jIbA8Fez93CXtvZW2+Uvo2BLMFgI3VOmONtcTWAmrHDAMAXSujawMiECwBvsKrBAObSt5ntiybaXC9G0T4KuzYogKiOQaosvcS/pg2mVXWIBoA8/p9+oFQFEJs769Q5DSCeSFAbSgFgMxVT6JxLBgCH5sf7AVBPAKCuEGU0sVtB/yzGtMyI9EBHK4hSy5C+mQxAeuPrWKmB6gHfCiLU0UxZq+G0BrDe1k8Bz/aS8zYwJzmWeB+zk1o2HTC9i5eA1tHdAD+2eqIpQ10DZVY7R2NivfbviwKreiIEouCtnABAXQFGhgFMzsdMsllrDOyeAHdPJHWEox69r/RY/qGNqYULVv+BSzvqbZ9JZSf35Xw/Po5iRXW8j4E8AExYJ520YzuM0vKI/pnsNzqDsco6+yAYxjhOuOPvgS+/DLj+g6iViPb2afqWU/CaAkBRCtjUB5C3T0HqoaoL3uizaCBMF7i0bMRkDIu8pzFM228CWOCt13LQSPcRYha2ohw12WtzsNkxgJrhAGCPQ7fXqBZwUvyQVLVzum27ZDYw8X7NiuXFNYDFYFi0mqWhzbQowHRZk6UQqpHLfQCAulecUmgFBENePJHwANBrbNFnU8MIcygAHJzHAGCNMoCaIHY4SsATDwBDPRVvBgByYAHjz2kJMIKIpMdQTpi7JA1d05wggijuJAIgBYDUlsfX8xJshxF29pK6xdHdmXq2nrCQumlPJlygMb6e/V50fQApSKEp/bKBnU0QkZQB5EQgowwA6tUhjhB6PmcD1bjGedCLJ01dQU2VqrIBYOta0J8s7aJRtP1I5jhiMEyBfnEKOH6fCWpm7AGAA4AFoCGMCCKSYyHrMas8WtIHgK0gwiH+XzEy9gSwdTVw//exS7Aq2b679C3df1GIRSBm/ncdXTgMWj3SMVQQMIN4AKi1t6KMwGgMu3vPZl5b4G0wAm+NNvc7T2KOt9mJQDTDAcAeh64IRMkAaogfZNYMgP5qUDUGHdBCH6r8d/LBUrgq0YAiBaxbY6QCsjpilmy/VA6IVuI6obpGTUkQRcyvD7VBBgDR2JKurjXSr3OT1B4G57HOD7QeT0eIAnBdPAZSADgabkw+U3Au+ZRj/8wUgI09pzXJtMMIQ/Q81Efi9mcJe1cJJ1FFuxg4BVGqZGYM4CwAwAzoiVnaIUknhpFdGQjti/REPZRxoj6QmBWnwjM1gIX1sXF6iloBYVZcJF9qbMh9Rh5e0EDdi9W6vAhkNNqstX0rjFBFO703+2cycVF/AgCLGcDkN8oJgRC1UeOOQ1nny0AoZ0WTgND+xNZFj4Uk6E8EURQA1lg/Yb1jYCng/pmsrGAkYUJ1rWTmUHY6iWGid0/y48x3f9L1AuR7jou9CHVtYJLsD6sBLGVeL4p2yPlTcjEDY9oijkY76jAo39lbr1UbS6MZhB0AcK7nGEDdcACwx1HWtIGRmUADejV8TQ3gVDTZqzz4dB5ImSbvQiBbnMKl50kMIM1qjFS1jMoxyEx/yykA1JkkBxkAHM4AQB2/NGqFwdizIY4BDGkNoN71HOIZwCSFO6zJALZlDGDQwAxWLK+e7DOpcACoDrH3+9HQmuxnSwAgHZsOA7gLYwB3ZfWU9TZNGer9PtMuHIkSeWI9W6DpjKEPTZRoHWICIkscA1g0DspwEa8Un89EBEIBoE76lYEerxQzoQn4GvAayT70mMxyzp6oMs711NUo8xgiHPhK2PU+tJLvKE6n19BGJbGuwejuAMAsdXRN0mcIGMBhj1rJ6NXwzUEWANLjMmn/mX/e6VrB8L89EQA0rQFM+/CadeGISxNobeoIZ5y/VXsfsdiLLo7i38bO3nrtYwBkDKCrAdQNBwB7HCkDqAdarMUTCvVt2spN76GoZABVAJAbn+g4SgZMpqoTSDfHoZMClppqJ0yJbgp4MJlQUc0ygFScrDqXdP9zWQ/d+TGTiJQB1E1bsjZu/bNiIAlguB0/JHUmygxLUh1gTOS8EmVb1CngQT4VDgClMqun7ENLeR4IIWhHUWr3Qc9jwiLSWrYi9i2QMIDVdvEx0O2BlHHE7ESJHLYwlIgGdPbBWBK/zLzvPI5JK7qmTOVaHY7Z1IQBHA43ASBa90QG0HsexwC2tMbQDiLU0EKplZ2sy+Np4X1RXSgADBIuBVxJyiugp8ANorj2DkAsThrZBQBQoYBe0yQ9k4ZO7i3qLahr4zLbywPAxCtUs+UkIG/fqfsbz+/DNAWcz/6YtoLL3Nv1Udbve6a3zSCNHGEmXejtdDCA2D80CgP5RrnIMIBezGK6GkD9cACwx6HjfQeoa+d06u/oA62s2r5oNZlMosIxJA8EVUqgnQGA8lpGWx/AsmaqTWmJo1Hbwp+nDBDNpIBNGMC0BhBhC4PloHgMDABujl8YmsdSVJVQT/na0catfxYDDAOBntqyowYQYCzc3KT7hGqSyqSAE+AYH0TC+HjNQiaUkJSdomwVBYAjKAZwNE22c4YBpHWICWNUaDycMIAUDA/vzIDTLI0xAPF5YgKO+miswAXgjW/QnrArCfsb0XOZsFZlBKgi0FLwskk2maRRTQAgKANYzIbSY4ZfAea+LB7D2Gr2GfVilS5Mkn30zUgXVyhmlYEEACapWtSG07KCll4NIVND05rO/plAjQJAarSuB+DyAHDAhAHM135PbgII0U4By565OpkOGnwaOQ8Atdm7MMIwb+uT3NszsU07DR1EJL035+0H4pdR9iLMIZsKS6hoNNoRdqJ9xxPD+DneFgcANcMBwB5H2n9WD7SI0pap/YkdcEpBj30aWscXqs09zPJWNvR1QL2y1lIB6xpBK9LQOufS95A11aYiELS0JtoM81UdjJkK8CrD4lQ4Sy8NzmcAqhLo9n2N99EXbI5f6J/FWLhq0k5Oh2HIFMoDrGB/rob5cDvgz8Nw+gaX8lP9NugxpGnkBPgkk/UgKe43SicPZsszsisTgVDGqLA+Ntn/MM+GJgBqBqFCkmIWMu3iMZoCME5JXDRhV8L4XJJKAoQrqUl9H5paz5mZyAH6ZB991BJHQ12eqclM2Ddv6xrO97S4BpAZYvfN5BjApAZQIwWcMk4j6fVs0RSw3oJ7Jq9ETsA0XbjppYBJ+hulLQ5DvbIE/jPVsg+suR/4/F7ATR/TWnAD6X3pe9nFv0kKOEgWWQBQK2V9AO0ZQFqisdWIhWT35uBckOGdASRKYM19NIMIM+iCNbE3muNtMqojnM7hAGCPg5kfa7I1wrQlmxwUEy0TLahqANXqPBVzprMilLWIosFSwErj4GQfCgGHjm8cP+bsPoofbFIgbCACiW1gOADoeUY2E+kExRn2JuAtBYDFgN5HxAxZ0T+LMWjVBEjomTDnAENSd0br8pSLgohkzwMNLuWnvKeo2hNcOp3bVx/ROZcEJYQYSEQO6JuR9sCljJFm67GMcCFhOajPok4XDsZa1UfS8zmxETU/3n/RhF0j8XlgAJBLpw+goWVG3cHoJvcEZd9UDDsVeqW2PLNjNhQAtq7W+n3R9/ozDGB8P1QQxO2/NBY3mXOZXM9ya3Ph9wN8DWCnCIRay+gAwEwKOOlQQ4GtlgqYL/15YlncG3nVXcY1gNL2nwYgdHfvGQxe8Ubg6vdgdMN9Wt/P72MkwwDG99YsAwDYUZ4wHC8sdjZQAjeDMH1ecQygSR3hdA4HAHscrOasaGWurH3TYK0UKWB+n+ouHIoxaNUAhpnPdoxDwyBVVQNo3AlE5ImokwKWCVFYDWBbawyDefFDAgB1VIatIG4DlxGSJOxXqT1euD19fwRjcQcNIJ4kKYgMJxB3NCnex5CXq7+jfZE12sllGUAeAOrVU9L7OlNPCbBz0Q/KZKpFPQyE0n0kIpCUMSoCTvH7GeFCwuCNRJpWMlGOJaEADASzNA2tqQUQS4UDaYtAr6nFfHUCwGT7BFzq1Ogy0DM4N27vBwBb12iZtbdCAg8R+kIOTCfHAFCGvSgFHLFULQ8AS03dFDBN6XeKQAZpDaBmCpedi9mL4l3ZMIAlH3juL/GLW1drd+KQLdpNagDpPt7s34nS078D/nQ1dlv20eT79Zizdp4BtEgBZ5jl/tnAKAWA67X30WxzDGBSmjAHm9FOnCFcqMMBwB5HL2xgdLwE6UNb6AOYaYGmBh2yMaQAUP5DahUwgCY9jYWpcE21pZ4PoAUTmqiA+6CuWwMA0hyH7yXfweq1KAAsFnHEDGIj3Ud9mDEUpbau9Qk32ddHgFKFAQcPJD4OjYVJfz79WqXgq5gxiidqzg6HRsUyBUyBTzIGna4o7SAdAynVgHKVY4z0UoatxHaEWer0zWSTHPXUK66xzbEkpQq7J2b7ev2daeqe8ACQWqho3JetgBf1ZFPAdTThIdKq0Z1NawAH5rIUMLakwKXIBmYYE9mFSbkGIP59x/dEUQpYzACWkn7RxTWd8fUc4VP6ybUYiPQZwKid9tWmDCBtcahXQ8iJ99YlAHByEwZLiSBHswaQZUzGngP++otUma7RzYQ+h+YkJtwAUBlbDR+R8nmfH0fm3rYQgQS8Qn1gFvyk1njEG9MC41FE0A6DdB9z4r7lVS9ENdii2NIFDQcAexzaoEUhAknb8qjYu8SawZenTov2oRKi6DjDq7YH0hSwCgyrDLF1C5tV51JLUCNjIZMUcE3DBsZPev6GKDGwQycYOnEVsZAMOPmVGHxWKQOoDwA7J/t+0Il2AE0laKHF4QP59CsDHMXq11ZIsmIYGgwAqsdA981EIKwGMAbDdY0UcBARtr1Ht09qxihgKDJqD8LYwqVKbUc4BnA43Fw4hngcOREIwEDkbA1BDQDUo+Q4KjIAWGwDM5BnZKsp+9aHVsFvPN5/NgWcMIDb1qBCU9kF15TVlVYHY0DOqZHrXlPDU5FgmDGAo4zR9dsTqCDQekbE1zNRmPbNYPdUP9EXgQwl9jvEKwEz9oyHE+gzgKxcxQew/q/sdVqvqsPyA8nzkhDgqwcAV7wNM9ffoz0Guo+5lH0D4JHImL1L61tncAygfgrYCxtpmUZ/alCuU9oAxOdyGBMo0UXz0E4I/bg8otSeVGzpgoYDgD0OCsh0GUBh7ZuGfUqQXwlyUfI9UE2Gjj2DrQ1MWwHe4td1VMByFpGeS+20iFJQU1wDWMl3IzHoBOK1EisIvw/s5OdSwEUgNE29Dsf7SCZsvz2GOH1bPElm2rgB8X4SIDfgqXsa0+JwahCcsm/UtLcYALaDiAMcw+kbXApYmb7NA8BcCjjtiqK+rwfzSuSEMaKt+XRSp8wCxq/E+0kAILXZKfbZ5KxLEsBC9zHLK1aOEkLQlxyHVxOlgBtaiwLK3DLgl9zXQAwidRjAOXwKeHB+LHCKAi1roFYQZbuZsOOgDLsGAxhxqtP6SCIKin9nIxgvBPTtQHA96xQAxvstsu4CUkP1qH8OW2RRr0adFmaMUQ2fBdoT7PX5iPfbLGDgMiKSx34JBPHvZGT9/QD0RCBMcJZTM8/1NmnXzrVDklO4x8+bmd427TpCupAifiV+1nEG5TpAtBmE7HlHakNAuYqoVAMQG6i7KA4HAHscqYefniqtJgI+OjWAFLT4neAr7oGrZr747hfd+gBKU8AaqWxRX0saFQ0/RH6M4k4g+vWUnQwgFS4Ud6/wmvGDqFniJmrqM5ZMMGpGl6txosApAT1eFKCGtpaCl7GIFHAAmZW1zj3VmX5NVKOkGABmUsAiGxg0C2rO4lRdJwsZ/7cejiP2v1MfR8ogJqwXZYwam5NxqvvwtkOS7RvreYzlGNRkAGMRCAdaAK5Yvlg40A4JA28en07nGEAddTo7l5RF9P0MiFSq9JPfBmUsMTAnFqIkyvD5iTK8qM43NWAeTd+gY9BIZWcZwOH4GJJ9jXhjIKSo5aTgeia/s75ojH1GFVFEWAs+MjCHfT+1FtJpP0Y/s6C1MvP6vCi2LDISgdzxFfZ6OdLzpuS/I29nM8fbwgzpi0KWAp7lbdVKpYcRYWIqQv0pq6k6XScF3GinGQ8v+V0RCgDDpnQ7F2k4ANjjKOuaF3epXFUxZ0Bx6jNr4iyvI2xqMIhFNYBavYB70ApOaYqtcS47xsCDloIx+EmatpUBgKMAwEyNVeeyHeQYQCADoAYRs3dFPVeFAgzN1EorSFTEiUFwPgXcx2oAC1LAChFIH1qFKeAqApSRMCEsBRzvq4QQtQJAHkSCNHTCPHnNrfARJd+lqGUMI4zm2dRkkhtIbHZ0AGCmUB5IlacabGoQpfWYGQCYnMsBr6FV09nn5RhAbh/9RarsPANIO7MkxzHkJ8eh2EczjLIGzGwMaV1ooQ+gCEwn53RUoz1glmEfyfyX1pUWAZ92FGWZUGouHozBR6RnJJ2McV5jReb12WR95n3p9sl5HvUbwJO/Za/XJp8DoO9lCACzqJ1N0laPmtDrgMggilJ2uz7KziV9TumMgbF3/dSf0jQFHHYInCgD6DsAqBUOAPY4aNoyIvGKURZqAKjTCSR+ryxNv6pTn/wPTMUANtsawEmiAtYSYMjSr9C3NlAzgPpClA4gy7WCK/LnonV6rXInAzjAGED1uRxGLnXqlxhrM+A1ilmOgHSmPgEGogYKUoYZAQjQwQDS+jsl+yZqBQfkjKAL2DtewVvJikCAZIIoUFQzEFrN1gB6IKnxbwETOUonuCS9RSd8lvIrqgHMCxeAzCRXtI92QFg6vpRhADnmTMPsnaWAJXWEOqKcmVQEQlsDJtsPUSCrvC+jzvMAaJuDA7QTSF6dHl8PWl9Y5HjQx85Df+a/1agBgBSnkUPCxDDe4NyOe8qkE8jsxpOZMcwK17Pv0Nk+n76tJABQt3aujmb6O5u3f7zPpA+5Tj/gdkAwyjOA1FvSayEIQ+VClR7HzBx7xxaaGup2IGEAcwCQMoB+1Crc3oUDgD0PHpCpHkhNGejgXtOplZKxb0UN6zN9fFU2MF2IQPRa2smPQ6d+L35fzobqnEupEKWS1gAWPVjLiVVLu8SxLMxnzJKhABiIomnVIjAtNGFmKt5GYT0mAwt+6jeXAkA91krMAKbGv+1IzmTGooVkDOW+ON0IJGnLeByDGrWMHUbS5SrbPrWzUZyLiDfETlir5JzWwgTsF3WoCQXWQAwAFnfAiO1s4u39DABMVdmF6teIAz48A5iZbNX3pY8o7YjCGEC6qEiOo6BUJE3pC6yBNGxgOjwVgTQFrGHj0hYBwOR8+Ij7DIcaVk+0V7c3OK/jntLrBRx/x0gz6aKyyysBADPD59g4ldvn2bskyuPPam1PP8PSv6Uas7OhoFJrH1GO3c4Ji3TqlakFjEcN0it8qYomA5gXvSWLdt/VAGqFA4A9jrLPA0D16h5QCxdUD5SAgR61AEP2Q+IFHKIuHkYiEAF7B3Cm2BoMg7oTiHx7UVujzBi6AaFcDWBRbU4pSFiIMjdRJ6lcajNRxL511AACbKIdZP53BeBLZMFSTVnEYgEHV/9H74sqFWAUm0ln1MwSAKhiMgOeAeStT7j9FaWZ2mEkViKbAIaAdKZvk+tZTeoQdRjADkNrCt48DTUzt70oBdznNbXqQpmop9KZAo7TbUWMbAOlJG2eMpnxeIY82kVDfT06VN1AdlFQcBwhbzCeMwdP0+nq4+jPp8JzXoRF6fQ4bRmDFj8xR6eLgxGM69XfJZ8ZbqyJX9j9cADAjPY6AMX1zoxBpAAuORe0L7OuGXXacWguMDQfADA/sYXREXGQoJmez77RDmGRlmNBwt4xAMiVmugeRwcDmADAUuRSwDrhAGCPg7dlUbM1Sd2aCPhoGCgXCTCKmnuruoDwrxel2lRjMOsFrEjfKsbAnyO1qbYGk5kHkKwVXLMwLUK7dQR8mo1ZlyRG0AXnoaMGEEj977QUuKRT/MDto6i2hq85E6ULGQBUAdl2qOwE0kdbf0nu7QxbxIMF7u84BVxUCylgnJLzMOi3ks8pagAjAeOUXE+fhNqTXKqIFtdTFt2X7Hry4K2a1u8VC6Q4VjfjJZimkYvqY9n19EqMYenwhizo9tMhLOKOqagsgI6jQ52e3F8jvgYIDQhrO8dsmkqVWBGcHEeRCjijLqe/0WRRMeqNaYGWdhChggADzZjxw+6HxccQxACwWFkej3FmIkbB/AMBAP7kBpQRxJ1bNIDsbL6mM0nrzzVgAKn1DYEXK7J9H4S2e9RQp8cdh6iwKNejWqMkAIifFTN5X0cg8Zd0AFA3HADscfAMoNL/TqMGUDlZUx/AAgWubB8peyfevqbFAKqFKDp2NioQyVhMDREJYC8kkYJh2grOa6HZVtszlBMAGFb42rt4gqqHmjYw+RpAgE12Iwy06O6jUwTSX5BaaRVM1Gk/YcUE0+Z8uUQiEI8CBtl9STotYGhQBrAgBZwBLYLauWFfA0yHBMPIKVerAzEIAjCECeX2hJAkFS221Elb2hWwViLwxqXKdFKnHalPbh/9XlENYI69Y6xwyioDxSKQDlU3wBmtF/faDqKIA3A0hRvfD8PJGFTnIlPfWukEwv1eo7ivchh1Xk9DBrAdRljgrY9Nsct9wE4HxbsJtyUlGnr1zjMJ144uAbGU1SuqZcy0s6O2Poh76PLfoYpaAgDD6lBcngFwiwoNUU/E1xAmJRYVvecUjVjZLU4Bl1wNoFY4ANjj8H0PFAOqfswqBk6rFzBjzopSwOIfYrOIAdSoAWwp1LcAdxxareBEIhANAUfAM4Cd+9BtVRVvL2MAi2sAqwoAWIuKW7m1AyJmAJPJbtBvss/Jj0Pgf8f9/6DXKDQG7/cEADDZPgaARHkcfit+IEfwc4AjywDKAEPAT9R5AFhN0+Hq1KmsDjGpIfRjc+ei+7KDAeS8GYc8ddF/OyTwwacdaQ1gwuhqtGHL1DJWO4GsTgo4CpqoeGFmO/7/i1TA0vo92pqP6LBvkRjUc/2h9dLpFMgmDB69FlqAPmL3HtseSMULGkr/7O+D+kuOAoi7/egIF1phhF29mO3D6G7xbz3Z1zxvk0YNYPwd1I4Gg/NYCndeAuB0TLFno5MBpK/pCElo95OwmtYrewzA6bHjHWUavMG5pqVOXgXsVRwANAkHAJ+HKGv1wJXXAGr1Ai5gANNuIgUpYAl406sBlNinJMFqAAuYFn68fOgYSfMPq5LAE1ErBSwz5eZqAFVqaIDWhQERDwAT4FAPi0Ug0hpAqrakraIKWGGhCTPro6v2fGtnGI7OGkIPpLBey0sAYKvUn7JFQAcDqEoBD4pYSCBT81VcAygCTsm59CljpAaRHTWAAAPnw5goKE3QVFQXlFj05dOe3P8XmTgDcacMFoK0fqEvYyCp3+OERUCxyErIyLJ7QqP+LggFKeBsHWIRmyo8l9zCRMe8v2OBxVnR6Hrw7eol6d8ZuyfHkdQKY7I4FZ7cLyNRDPYwOMccAHYwgLGnYz8aGMCkFgPYR593NU6wVuVT+sUsZKfhfLx92YsQtotFHO2ws/ORl6SAy6RZqER2MYUAsN1u46mnnsIjjzyCjRs3TtUwnpfQMYNuKgCYSQ9duQ+geh9F4K1WjlNdekbQEhEIG4NF+hUpuNVVIovELDpjkLKQnE1FIQOYpHmjaicDWA0n4CEqTt96ufoigD0cBz29mjGh+IH31yq4nkIGkGPyihR6JaqGLufAW3Iu+z11z9O41ktWA5iKQNSAg4jrEKvUP6+4BrAlsnDh/n+oKA3NpdOJX2a1SayekimqVXWIspQ8Xyyvvi+9ID4PkVeOVau5ffR7xcrwQZEohzGZCQOoW8soMQcvYnz8iAMEOQaQgv2ilH5fnkEEjOrOskKSbAp41BvT7MLBM4AUANLaVr0xAMBImADAgTkMwFGFcmEKOFMDODf+/uS6zPE2a9UyVpLrQYTeknodajrubX6BkjxHio5DxgDWSFvL0Hq6x3YFgGNjY/jWt76Fo446CiMjI9hjjz3wspe9DHPmzMHuu++Of/7nf8Y999yzPYf0vERZp/ZNAeB0xBN030UqYNlDqZAB1DCCLgKhOm3xVPsw8UO0VUPz73WA0HLaC7ioRVM9SfMSAQD0QJJUW0HKUcEADnrFNYAtHkQK2JqYOVNP9kLAwVmw9HtqIQnrW1zOgTcGptXHEcjqxbi/B71JtRJZlnJk51LDzoZnAPnuFQnjEfu+KcYQqRXV9agYOAXtdqcpN5AFLQWTXClIPA/L/dk3+BRwwW9DmJLvqGUsYKZF++DMwYvq70oB7w2ZHEvyOxlkSmT1QrNfUQvZh6YGAyg4DjoGTeasHZJOBpDVU05qd5AaYgBwLjC0EwBgJ1+PAWwHOUNrgIHIudisdRwMAPL3lUGP6iASKORLZbQR1zOSRjEADNrttI4wAYA+Z92l29d4Osd2A4Bf+cpXsMcee+Db3/42Xvva1+Kaa67B8uXL8cgjj+Cuu+7Cpz/9aQRBgGOOOQbHHnssHn300e01tJ6HVu2bqg+vTt1aUCDAKEgjFzKIRr2AC1LAWkBYUAPImWrLHs6qFDI/NnUaWXIuDWxgaI9awtdJleuxnx6KRQOtQOIDyHV9ADRUoyITZk4FXJQK75elXzUf7mVmh5NnANPJHpD/NqRsEZBRAVsxoVQ84dMxqOvvOjpPAIydHfImCn8b9Fp41U42tqqhqA6bYx3bxceRWrgUMWcUOEWcTQe/j6I0cuwtKbinqMBJQ8wiVXazybqY+Sonvm6RX40N0oHMfQ1o+ABSMC1QVOtYj7SCsDOVzYRJesKFOAWcYwBZbaueehYABgOaAuZsXCgDWFhHGGEWU+DOyfx3prdN6zgoAPQy9ZT6KWDZIq3px4tuosEAeklbRwAsFe9X4/HU0C5kQl0A5e31RXfeeSduu+02HHDAAcL3X/WqV+Hd7343LrroIlxyySX49a9/jZe85CXba3g9jbT2rbh2TZj6pB00FACSTl5lQd0bUMx8qVLQ/OstBfNVxCIa9TQWMYDcftthhBJ98GtuH7/eRTqd8ykrsoGpR5S94yY42m90ciMGPTVD0AqJsgaQpp5ULCIJA/SXcqKDzD4arAeuKF2uBF/VfmC8GHRQQ+wOAMh1VYmPQ8JMy1hIwMwHUMiE5rtwqBijkOs8McqNIQGABYA+yKiZFZY6Ko/LZiIsgo8STSFz+yiq3wOAchh/T9jBAPL3RBF7JxIWJbWMGkA2CCPxuTDwASzTdm3l/pS1oDWhoCr7ghpAkSF2JWVTxwvOZdicTBXuuTpEnfo9Oo6dKQBkNYBDyRgaGC9UIhPU0WT3Dwb4GsDNANTEQzwG0lluwi1sdDqB1EjSo1oiLCoE06IUMICW3w9E24BWMQAkyQKp6dVRSwzjfZoCRltLSDLdY7sBwB/96Edan6vVavjABz7wPI/m+Q0t5kvVvqxAwAFwaUspgNNrBdeNCriojpCCr6Im7fz38cGD23YYoV6RA0D5GDSOg4lAcqAoAS0VL0TQUqvK+iIB40T/ntyIoSLQEoSdHmNABwCU7SOKCGMh4+8VpD454FMVmHfHVhmCQnkgLfovqIeshNQPMZ8Cpl0f1McRhBFGZT6A1dQGprgGUK6epedStUArBeMoe8kYhQygesLPCB8EALBMWigjUP7GSSue4BpeHQMCQU2/RsssCgBlDGAR89VhA8OOIzEH71UKuPA4Gp3HQcGXjhI5UwPYCQD70MTmAuAUtThGllnRpOUVOqlTBA3MScykMbJrsg+6MJnE5qLWfnz9XrkeP19Yf+nisgIgbQUXHwcFsvE+hgtKG4DY4qgSNYASxNZCGv6U7XYgLG9oJQygx4uXpDtJ3BX8PtDlkVfmAKBLAReGUwE/D6HDfCn97zQAJFMB+2rgI00By5SvSWgZQRewb1SVK5scwogwcKjyAQTkk3VRDaCJGXVNwgACgB+qVWnV5IFaquaYFsoYeeoHq9ca4/zzOADIper4sXYcQ5QqX0mplooOgJRhKCiWl9YAcn8XpV+pIXZUzQFhzvIDeJ5TwEHApS15MJ0IF+i5VPy+qu3E5sKvZEUDmgxgRlEtAE5AsV0GZQAbXg68cQxgYYvCBACSioQBLBhDKxAzNYzJTMRPynrlMODEEzwATH0Ai46jEtHj4K9FfI+lQpQCH0BRRxQuBVzUCo4yTg2vlqahqRIZk2iF8haHNGgfaeKVUv87lsouZnTbIdfFY2BunGWg4iaN9oJAoqjOs6GcvVERcxZGhCmq/Qybyqf0C84lD6a530erFO/D00gBU5aw6XP3RPLcq3ltrVT2dI/tAgAnJyexevXqjtcfeuih7fH12z0oc6UjfhAaQZf1QYut+KGIAdQygpYxZ0kUgS9+bKLjKHGeitLjCNR2OFr1lDIgS7seIFVTyqJK4tVsuZqbrDXTlqXEPiX0SjmVIp3sE7sNhXqWpT070rdpui/+rGwfAp+z/D4KlMTVxPImquQAJNf31UMktyeSpRwBbSNoNMWTC69SBNQMe7UdX492eThrZ8OlygqBk+h6lKtc94mGWsSRTIJNr559nbsWQVGHmiIAWMAiyn0AE4U7MwdXnMuI++1IWtoVMYCVMAYcUUZ0QBc2k8Uq+yDq7ATCjSE2xC5gvprxPdH0BP2+USxEAYB+6p9XGxWYaquZbSDHANJ2dKxbEF1cqY8jaLdSdpuei+S+HkyArHoMhNXyejVJCrjwXCa1wiilPccBBAmY8zUYQD8BgC2+/zon3NNRZU/3eN4B4NVXX41FixbhuOOOw4EHHoi7776bvfeud73r+f76KQmd/rNKG5iCLh7xvjVFIIU+gGLwZiICkaZfC3oBZwFgwXEU7MN2e4AT1OSvheex9kZ+qGgtRAhqyQOxXMsBQPpgLUgZ+m3qnzeYBRxMbanuoBHwwod6jn3LpYBV3WGKGMAiuww6UZN8zRk36dbQVh5Hh9UGGwNXLK80o44nlxClDIjPt2FTTda01VW7Opx9g6XKCmo6A5WhNdebWQXgRAwHwEBLySOFzDQt1kceAGZSwOrjUNVTxvZHRArg4tKEhJn2/Oz1MKgBrBB6HJ0MIJB0RSlYcPeJyhu481AE3ojoenApYKC4i8ZglLRQy9SV0lrGYlFPM8i1ccscQ3FtK5Bj13Ip4KJSFSB+flAmP8sA6vtTZs4l97xrJ2DOD4oBID2OdgYAJgwgHAOoE887ADz//PNx33334YEHHsCll16Kd7/73bjiiisAYIc1aiwZ9PJVtS/TYwBtfQC7rwHUTQHLVqT8g6qohk/2YEyPQ81C6tRTio6DNhcvRw15j80wrQ/sAIA0tVIAGMoUAJbzqVPKnKnVlq1Q0v0CYExJn9eCj0i+D5E5KxsH36ZJoQJm6sAca8VN3KquC1kFb54BTNkWZTo9saLpMKM2sC5JW13lAGCGAVSXeEgNrbk+uspJSgYAuf2VowJmmqrT84wsD0ILUtlpurAzle0jVE627SjKMtMic3AU29lUKYis5Cb7hE0tFgZxvYRFPoAaoMVr0fuqsw5xEMX3FAAMREkKmKZ/gcy1KE4BE8ygLQr7aQ9del8Xq6HjnSSCGq+UekMyf0u1up3un9bvlQQikJjRVe/DYwKO7L0dJOdWBwAyiyP+evCLCoVgzkUczzsAbLfbmDMnXqm84hWvwO23345vfetb+MxnPiNUItrG7bffjhNOOAELFiyA53m47rrrlJ+/5pprcMwxx2DOnDkYHh7Ga17zGvz85z/vyViYf11B1wVAzMCZeNeVC30AxT+CQhUwV0MoAz66VjRFKeCy78GXqpmLQGR3QJh/TwgiaT9gVUqhPcl9PF8DyNXWqJgz5p8nBgt1UlADyBn2evn6Ow4w9CtYhmwNoIK1UhxHOWnCnrGHAOKaqVK8Ou9TMD7tUOAPRoNOtgWKap9N1OI0dI0ygIoJv54wNUEHA5j6AKrOQ5NPp3eIWbhzqQA+Pityz91Tfimu8wRQKWAAKfvm5WtTNZmvDAMoqAEEaE2m3KZJej05b8giwFAVMZmel7knilLZHb2EgdQHUCMF7LUE14O2e/QCVBAoFyaEEAxQBjADANPa1sIUcMC1KKT+lBmBFSlkMr3keRXwCwuuttUoBSw0gi6uTUXyvGuWsvdlmGRcSjop4Da1nBIwgJ48y+AijecdAM6dOxd//OMf2d+zZs3CLbfcgj//+c+Z17uN8fFxHHTQQbjgggu0Pn/77bfjmGOOwU033YQ//OEPOProo3HCCSfg/vvv73osWjYwrANGp7JVrxNIAfgqq0Gkrg8goE4Z5j/LR9FxqIQw6T5oKrrAB7DAjFo10arOhcfVrknbwQVJfRLxUK3mmK9M9wpFDSDrJZwHgMn3F7BW2ZZdOQBYrgFefJ8NKNrBZU1/5T6ASiYzqYXsYAAB6HRWiS1cinoBq1lIei7bHdYnSa0UNWFWTPh9SS2jlAHEBIJItTiStKMDMjV8KmY6TXH1dbxHGb1qEQNIU6cdADBd2Fh5S/olrn5OvigIVNeTAy5FzBk7jnwqm+sGom5pF6b3trBHtQYDKEo5Vvk0tHphEkQEowl750kAYKF6NowwTBlAqk5P7qcSIq3UJ1XYhvx9xanbixjATDo9I6jR76vsteIxtHLsNgVzpVB9XwMSk/OMCtgBwKJ43m1gvve976Fczn5NtVrFlVdeiQ996EM9+54lS5ZgyZIl2p//6le/mvn7f/7nf3D99dfjJz/5CRYvXtzVWHR6Aas89Cj7pto+YKDFUgSi6QMIJLYBCgsWqQK3QAxTtD1QrIhm+5AZQWtY6kiNoIF0ovTaaIYhkDjV80GCSXgAmqigWs6dJ65TgOqB5AUxcIpK+dRp/HCjDIjs4RxEEYZkqVPKlDS2JHYV4ush9WsDciyFgsmkDGAecNBjaWxGHW0lK1wEQmteG2EYSMcg7UaSjEmnDVtfGDM1EV+rBXCqburjF6Em8KdsBsWCmkE0MKbBALZLneeSVPqBxkZUoobU1xFIGMAS4OfPZcIgVhEY2NkIjqM9oQRf0j7AAPg+vEV1a7WoEdMV+fuqyguDVB6ZTc7DT9y9oog580WAvFSOQUfQSMyg1QtN2rnC75/JHRytI9Srv+toUZhj+Av7QzPg1FlPWcRs0+OoM1NtO0ENZe/yixsq8ilrpIDpZ0I+a8LVAG5zALAwnncAuMsuuwhfbzQaqFQq+OlPf4ood7O86U1ver6H1RFRFGHbtm2YOXOm9DPNZhPNZioG2Lp1q/BzTAQieaBEUUrTi8CPDgOoBC0oTn3qtoLjP5uPojrCIvZN5QFIQ5fJlNUAaqXjFZY4XjllCGQMYLs5iSpiAFir5PbB2cCoalL8BDjR1B4L5rfWSJSO8nS8sPsFv5/GFqWFSiskCh/AVEmsTGUnDKAvZAAp6yRnfLJqzdxkzwkIylETUUSEpQO0H3GQB05UuMAAoPw4+qN4giJ8s3sgwwACBO2QoCZ4iraCCCNFNYBeA5uUrHBicCxgANO+xrH4QfQcIYSgzrqR5I25kxSyFyIM5GC6FRAM0Nq5jlT2IDC+LlGGyxYVhNmTdIwhAQ8VL0QUyH02CSEsbd+xsGACCjV48rkyDaEPoNfSAC3J9cgzy7WhGABqCINGES8sPB4A8jYwhd1IuJaRFADS8oqwmQDZguOg3WH4xSa3sCmsAYwknoqZ9oIFIJQpeLP3BDUsL2swgGXaf13AAFYdA6gV280Imo+bb74Z73rXu7Bhw4aO9zzPQxiq+64+H/GlL30J4+PjePvb3y79zGc/+1mcd955hfti4ocCCxZApgJO6+9kq3vtXsDS1KkavHmeh2rJRyuM5P2Ei9KvBWroojQ0kLKIcvGDphpaQ1AjrgEs7gbSbkygCqCBKkbz4+BEIMoJiqln8wAwfbipa+c42xERAOTsEeTgK1TUAOq5/FcJ9UMUgBZuspUaWoetlKnJg0gOANbRkrJvJan5MQWAsRhGNdkOJAAwqucAYDJRlr04DdYOIqCW3zqnAu4Q5aSeispaRlqrJQKAfA1fSCAg6DMTtV/LM4Cp9QYvYspHW8kAcr2ZpSlgIr8vuetTUqjsM8fRAQATH76CGkCPtZKrwC9xLL5BCrhMyzREdbrj6wpBaCvDAIpEIDoWLJG4RWF1AJhsJm3Y1MfBfh88eOMWNsUt8SJWA5hlAJPuMBpG0H4gLm+gYK4SFjOA9DMZyym+BtCJQApjSoygP/ShD+Htb3871q5diyiKMv+mAvxdeeWVOPfcc/GDH/wAc+fOlX7unHPOwZYtW9i/p556Svi5IvFDEQDkQZnUQqWgfq5bH0B+bNK2XQVm0hTIylLARSpi/j0VYwTIfQBTIKwhAhEdB9dcXJp+bcUP1CapdJ5PzgZGNYaSjAHkJkmVarQdcingvAgESFuxqYqjg0n4+VZXNJhyVV23Rv0QOyZqIDPZyiYZj2dq8gDO99n5qSvShr6oawTQKYZRMCUUAHp5AFgdYPWUKlDfCkLOB1BWT6m2LvFpGzcBAPT4mkzFPUEZ3VJdzADGXyAHX+12kDKAElGOinVqqVL65RoI4kWXr/DZDDKiA3F7wIGC60nZ1I4SC81rEe9DAgCZEEVdHtEOuRrATAo4PYYiENoOibhFIbeoKGIASxQM88xZsrDp81pot9VdjwLOCDoLAOP/1+lQw9LQOZaeJM+NSkFtKwDmcZkBsmXaC7jYWsjFFDGAzz33HM4880zMmzdvKr4+Ez/4wQ/wnve8Bz/60Y/w+te/XvnZWq2GWk2w3M9FqcD/jgcCwl7AHBMlW93TtKoU+BSkTqXed1xUyz7Q7CIFXGRFw0CsogZQU0ksZ0KLU8BNFZjmioqbkr7I7WZihutVO1OSmiIQ5jNYzk1Qvh+vrNvj6FNMMEobGICxaTVF262sP5g4fTpQMMlRP0Q/L4YBcjVf4n0wpgZ+lqnhjyNsou61pOwbbRtG8ueyXAM8HyBRoe3HIKGF9qO5AXrx+W1sVnZ3iWvfJMCJecepxQ/0nojyiwKkqdC6QkHbDtKJupxP33IMoB+25WMIuHtComYe9CaxUZYCjhRiGM9DVO5DKZhgvX6FxxGl9ZQdCwsmDFIzgCkrLFFDe02lcT+Q1px17KPK/caLUsCUvRPZwKCBtqL3OkAZwFwKmDuOfgMGkGRqAFOxk58YXqvGoBKB6KiAZT3DSfJ3kbo9/gw1Oe9kAOsuBawVU8IAvvWtb8WyZcum4qszceWVV+L000/HFVdcgeOPP75n+y0CHS0O+IjSuzwQka1qi4BPYQ2gDgNYwJ6prGz4scmNoNXpW34fhUrkHqSAxSKQlLWSnYeQAkBUO99kNjAFnUAiQUqFBtfqSVZHmOm3mp+ogZQBVDwYqTKvXeqLgWdmDNmHu8zDMzXElohAQFtFScZA2btSLesZR98vF5sHM+CUZwA9L1N/p0pTsdo50bnkTHNV7LgOA6hMAdPUbKnzvvLKqYhD9vtqhqnytSMF7HmI/Hi/noIBpExN5JU6Fyc8Kyx7TgVEboeDlPH2FCA0CAmrCy1JvCHjFLD8XEp7IrNWcBpm1EnKMZSxkAW/8XYYYcRLFhYCFXDZi+BFCsN5xMzyCCQpYOilsoXMWanM0rHUk1R1HOIUcLYsQRXC+j2kDGCRuh0A631O+OuhUeriIo0pYQAvuOACvO1tb8NvfvMbHHDAAahUsiv9j3zkI8b7HBsbw2OPPcb+XrFiBZYvX46ZM2dit912wznnnIPVq1fju9/9LoAY/J166qn42te+hle/+tV45plnAAB9fX0YGRkRfoduMBVwAWslBy2cM7pggggjAjr/Vgp6AcuKcVvJSlMlwEjNoCXMV0EauqR7HhRjKG4np1sDqE7NSPfBgJO8BjBspwxgR3Aq4IjE164kEC5Q/zzkawCB+OGeFNurUsDSVnDccagejCwt49c7tc6cCpgkx5H3oAzCSA0Ay2nvV2n6NqBpz7r44VRJGVnZooAygB2ABYgnqeZWDBQUqldJC/AktYyc4a3KVFtonwJk2FRlCpiWBYjuCaZ2lJcmtDlRT0fqFAn4ilpK0FFiXmsDqOYBecaWRzIGFQOI5NiaaQmEKAIule1JWi0OYBJbFOeSscKSjij9aCIsBIAUOElSwAU9qltBhF0gAoDp/qoF4gc/mETFS57HAgCokwIuM0/F7LlslwdRCSeLAWCg7qsci3rUQJayqUHuXNL7VAcAss9kWi0mIhAvRFshbgIARNu/3OyFFlMCAK+44gr8/Oc/R19fH5YtW5ZhwTzPswKA9957L44++mj295lnngkAOO2007B06VKsXbsWq1atYu9/61vfQhAE+OAHP4gPfvCD7HX6+W6iXGBdUqTA9TwPJd9DGIlNPTMt1GT2J4UdNBIFroJ9o/2AZcCnUARSdB40agCrRTWABftIRSQaNYBCBjBNtUlrAJuJA78CAA55ab/SkkC4QAGgLwQtxW3Y2iGnnhVM9gwAem0p8PE48NU5hhT0xN9HkHe8aXNMTVlUA6ih0EvTnoIxAKzGp+7JQWRZ1DWCBmN81AxgFTEj5YsYWa6nsOw4mhlBjZwB1GGFO+pCgUxpgqrUpE80USdBSlWgrU4BS4UP/HF48tq1tsoOB2B2NL5CiBJEaRePzhpA3ghaxQDSe0LcVs/3iLrdI1IGkMhS+kU+gM2JFDjxANAvISr3wQ8mk9Z68qgn9kTEK2XPRaV4UcKGS4FT7p4IyoNAcx0qBQCQZjzifXSKQAAAfDmJIJiAI58CTvZBrZpUUaPHwbPC3GIpbBXso6Ue43SIKQGAn/zkJ/GZz3wGZ599NnwJg2UaRx11lLK1XB7UPZ8p6CIbGGXNWRKVUgwARQ8UnvkoF3TQsLWB4d+Tp7nC5Lu66wSiqgEsrCNkPoDqnsZaKWDRPipp6lQGhCNqD+GLAGD6cBpEQ+qpqDRQrqaAQ6XITutyRKCFM/6VHIdP6+9EgINjGOLvi9CH7HHEdW8qBjD16GpKjqPEBBwyAJgyX7J7gnkRCs9lCqZlv8/YdiQGRSVRLaNGrVPYbqDsJe9JAYO66J+CIq+iYgAVbdjCCDNktj4AawPmRXLwlSotRWCaUzPLVMARkbfEQ8puqhlAwnrPqoyg1S0KxaCH/5v1TZaEDDixMXiTSlY5mtgMAAjhoyQSFwWTqJNJpa9jPYxBS1QbRknQ5rBfQ4FbYd1hstcjqA4B40AlMUGXBeHBHZ9SL1cReiWUSJgVcwmCAt1IYk9UJvJFCQ1qju8JGMB4nEUAsFhpvKPHlNQAtlotnHTSST0Dfy+06EXqs6Iwk+b3260KWMm+FQDAIhaxSAyjYwNTVMNXNAa6fVjQtUE6Dt4HUFKgHbUVDGC5DuL5bB+y61GOVAAwre+RnYcgU5cjZ99UgIHWgolUp6yLBusn3LmPdrvFQE9HSzx+DF5boeClamgJAGS2PG3pfcnS6UIgnE6UsvMQRiRNZSvtbJpSME37xgJQeCqqi+UpKBKykCzVJb+esV2HigEsZt8qtAawImDvKlRxqQahUjscgDGApUg+4bcjrh9xB4DjVbwKRpf1qM5tXyqDJAu3IgBIa8461dAcCFV56E1uAgBs8wY76ltJlfcz1DAor41m3+AWiUVqZnYucvd2UInHQNtSyiJMXA/aqMRG2Fy0k84efhEDyNK32d9GKVnsUD9RVVAA6PMMYKmMMFmYkoI0dBFLOR1iShDYaaedhh/84AdT8dXbJYrEDzrsm0rFS1/zPQjryeIxFNUAajCAbB9FIhB1LaPUD5G1wysWgRSlkcuSxQRfpyYX1ChAJK05U6SAoyTVEPgCpsbz2ApVZaKsNlCmNWNywBG78yuAD7OBaUmNuSkD2KGeBTotVET3ZSNdUXf0Aga0WKuSTMHL9lHcwqxCJP2Igazth2JRwRjAmrwGUOWJSPvGtv16bNSbGWDaXlCpAk5AkS+qAUyEIfG5lPzG223UvKQOSsQAJvsoKSbblKkR1ZWmnmuqcykVwyAVs5SipjSDE4QEfbTzhKSlnWoMQAp6OrZHym4W1Z3RlGOHMIipugt8/BIAOOZ3AmGPdQNRA9k+alBeH86+oVEmQoOmV/PdYaIEhFbDAmCUZDyafudvlHpWqmx9AKAmSQFTUFopYgAJQR+hQq0ck5kAelLAQroU8BSlgMMwxOc//3n8/Oc/x4EHHtghAvnyl788FcPqWegaQauAj6p2zYw5e35SwEXdTIBUwCEDHEU1hPx7UhaSeRHK1NCcp6Kka4NaBZxO1mOSMRDWXF1iEcQJD2Qq3koiOhDap3B1a6ouHkJlHg2eAZQchzL9SvsJkzAGPoLjCJpcSkW4j2IhSpkJHwoYQEUNYMpwyGsA+70mJqQLmxDDXjwBlYV2NsUsIu23GpT6OgU1zKpCbskDcHWhojHwNYAyJrPweqTsmyztWJXVvQGc55oc0AdhhHoCpsX3ZapmFgmLAIXtCJC7p+Sdl2p0USBrUdjcXMgAspRjhxI5tYHZqgEAxwUAMGsFQyAyFCCEoD8cA0oA8h1quBTwxqIaQNIEvE7gFCX1yvWiFDDt4+t1Pu8oACxKAVMwnb+vSrRDDdoAIUInAABA2EIZcUbGr2f3Efg11KLJ4hRwEUCcBjElAPDBBx9k/Xb/9Kc/TcUQntdgtW/dMICK+jkd+xRqzVIsnpDX39UUAJBn0+RG0AW9gAuMpON9qM9lcTs6r+OzfBQCWc4+RQZCScKchQK7jnhwNIUrr5WqkHYMAJWslcL0tx0q0318DaBsH6VIwb55XjyO5lb0ew2hMjxMJoYmKqiJHtwcAygDPiWZHyLbB3cckutBzahLwrq11LpEphptN9OJo1KgApadS9KWe/jxqVMVY0TroIQgNMOmio8jUwQvYBFTK5m2tJ1cRVb3lhmDHHy1eHFS3oIFackDPY68sAig5Q0yAMjdU4osARXDdPRERioWUgoPCEGdMmcdAJAzglbZ+jQoABzueM9jVjIKS52QsC4gXt9o9k0uBfxsgQq4ThqJwj1fmhCPoQgAUuDUVjCApQI1c42lb7Nj8JPfmw8ChG1Wp9oRHHuX97gMaS12UAQAHQM4JQDwtttum4qv3W6RMoB2oAVQizgCDfBWpAKmE09NywZGIEQpMLMGsgBQxDDogFAGZAvqEOVWNB48L15MCo+De03VCURVAwg62QseiPGOad9WsZcgIQRV6nNWlAKWAY6gwbVQU9cAjkvTrwXgKwGAA2gK2ywFiTqwiarInzmnRC5gAEXnAQDfmk92Lmg7Ok+Uvq2k10LKnHHMga+oAVQxgLS7RiQSBvHpeCUATO4J0Rg0agCpPVEbZVQEyvOMl6DEcF7JpmrUlQYhQS1hU5Ug1GujHXUKi+Lj4AQ1+QUS5wupet7SGkJf6E+Z/sZlNk1oT8SgBAIAyNXvKc3eW1sBAI1SJ5vq8QygInNEu4B4fTkGkEsBq1jlkGurV851hyG0G4jClBsASwG3BRmPiNWVFrCpIgUvAJ8XPIVNBQCMQWqDVFCpZD8T0nEV1QC6FPDU1AB+//vfl773sY99bDuO5PmJSoH9SVODASwrxA+s7k0ndVpUA1gSPPWTUBlB8+OS9wLmDK2FTKZOKlydRi5Kh3ueV8CmckymygdQUQMI1lxdkgKmAgoJYAiitOZMKDrgGEQZ05Kpd1GlgL2W9J5I06+C7blxyGoAacpRaIgNaNUAVmhdjwjEAtnrIdlHjbY/E6aANQQ1vM2FiNXNXA9JCjhQMIBc2pJ6KoqiwphM0T7SGkDZcybkOtQIx5jso4q2lHWq0ushVBHr1AByDKDgvvQ5BlC2j4ztiEQ1qlpUtDkVsYgBpAu0Olry+jtuUVDKm2rXUlW3rMSD30coKhWpFSvDW0HaBcTvYAB5I2g5COX7+MpMtfsiNTDyFAwgvd89FfsWtOIUL9AhqCnzCz8VgEvA2zjqHQSCNgPoVMBT1wv4pz/9acfr//Zv/6YEhy+WKPcwBSxmAIs9/Ap76BbYp/DjE9mf0O1LvicVovDpV9EkZ1ID2E0qu6KspywAspzqVGYDQx9UkahYH8jW90hqOnVEB0oGMHmYBV4ZELVQ06gZK6vsU/jjkIhZomRiaApqgzrHIAE9bAwSEMpdD9m5qKmYM75bgQw4JanTBqmIa5D4tluyCZ+yqSIAyaXjAfm9naaA1TWdsqb3oUqdDp59C6QMe5VeDyUD2JJ2h2lzi5uiNLT03qZm1Ch13tsa93XshyjvUe1xrLK0HVwCJlqkhGollzjjuv3ITPPjfSS1wsKygNRTUSW6G066gMgAYNwTWQ5CYwAYH0s5p9Sn7GiZFKlnU8P4fJDkfvcVqm4+9ZpPAZfLJbRIQkpoAMAJUu94brNFV6EK2AHAKQGAV111Fd75znfi9ttvZ699+MMfxg9/+MMdIj1cJAIxaYEmmqTajAFUgDfGehWwkJY2MHw7O1kUKXD1xCx651JPUS1nAKVAltVryTuBUPsUohKBQP5wbwec7YgIAHJpLikLyYQostSphnpWZZ8CZOrnhMKghAFsSwBHHjAIx0AnHxkI1RCSMAYwz9QAWiwkBU4y5oxXAUtTfszORsTexee36oVSSx0gNaOuCO8J3ghaLU6SXY98DWA+YvEEVYyq6krjcQpN69uhsgZQ53rQ+6rhicoj0vtaVSecspCd+6AAUGminADAJqqdzzwNVhngWWF5TSdNx4uCZwCR9xHkFiVKBjBMu3jkfx9+marC1R00PAZkRQxg/JrSVJsuTIiPSq6+tVLy0KKyKdU+khTwOOodZUyhDgsJuBQwpggAHnvssbjooovw93//97j33nvxgQ98ANdccw1uu+027LvvvlMxpJ5GsQ1McRu2VAVsJwKplOXbx68Xgy+aHhaCFh3wxlmzCNOvBQpefv+qIvOicbA0sqKWUQpkafsyrykFgMw+RcqcUeAkniBaYYR6UiclrgEsBj30oSxKy/DHoRIN0JW/J1XgppOM6J5IW+LJGMA0XScFPRG1w5ExgByQFTBfhKRqaCVzpvAiDFq0t7OASQUYW6PydaSTvaqNG6AQUIQBSkjuTeFxFJ9LBgBlC5OSmn1rRylzJgbT6X0JiH/jUdiCT2tThXY2HAspU/E244laeF+xkoA22pIa3WIhSpoCljKAiVdiC+XORTNXE9pqqxhAKhazU8g3g4jrAzyafVOzF3Bs4J54juYVuAkYKzJh9lXHUaL9pRU+fgGtFa50PLfLvo8m/d0pGLywEfshxing7D5Sf0tXA1gUUyICAYCTTz4ZmzZtwt/8zd9gzpw5+PWvf4299957qobT0ygygmYCDMvUJ2MAJalXfnuamskLMCjw0RGBNNvy1KmKQfR9D74HRETNZKrOg24nENW5qCr2UQhkufSQTATisXSfLAWcMoCiVFs7TDtoCFOfGd84ie9cEQOoUTvH0q8iwAFkagCFYhZqECsSPnBjkKWAeQNmYcoRAN8KTiRmaXPpvnKfALTwjJGMcaIMoKyWkbOSkba0Y72dRSng9PxKGVmOvajW5YChqgD0SoNybmyyRUErSMUTJVVnl2TxIuoOU1ybyivDJdeDqstFDCAPKiWgoxVwVjSiNDRXViBlzxgDWOlcuHPt5CIF60SFEWJleLGgJmYAKQAU28DEKmJF16OMOXj2ejALlkIAKG8ZqdPZhTKADQGbWuYZQCUAHEMJwDipd7hIUBbSKxCiuBTwdgSAtDdvPubOnYvFixfjwgsvZK+92H0AC82LtVrByUEk3a9ODWH8+azFQxBGoM8ILR9AQV2LzjEA8YquFUbC4+hpDaB1CrgAyGp0nvB11LOQpwz5GkAhS6KhGvVoc3VpD91iH8BK4g/mywQYrIWZ+Dio8367iAGUMU5hhDqr1SpOZW8W7aM5wWBbRQha+NSpWlAjTWXzjI+0LCABsqJ7wi8BfgWI2vIJnwMzVVEKmDOCli00CRMdSI6jRAFcIAQ+vHiiQzAAZM4lIC7ToOcyggdfVA/JpaGlljq8qXbH9um5kTE+7TBCjRpJq9okKtoDIkgYQFIRMIDcPlty+xMKAJW9nRXMdCuMMIpk/x1G0FxtqyoF3Gqi4iXP89wiq1xN2rChjSgi8CWLamrxEog6BrHOLioGkAeA2XNZKfmYJBXAgxoANmMGcEIgAtFmAB0A3H4A8P777xe+vnDhQmzdupW9L+uB+GKKIhuYlk7dWnJTiy1Y4u3VrFe671YQZX5oOgpeQO0DyFKvivQtkKzoQrUCVwneSupzSdOAz5upNld/15Skd6h/XlHtnFQEEoQsBSwEkcymQg4A/QQACtu4AVq1UlWVGTWQAlmJ3xmd7EMZE8oLFyT3A2UAhR5+QOZ6CAVSnPlxpbAGUOafF08cLU+SAubSbTJFNevjKxMGVfqAZltuaJ1Mkm1SQq0qt5JRMUZ0H3JWmE8BSxhA5p8nZwBTMYvgOBKLpNCrwrf0hqT1rS3RcZQqIPDggSgBYB+Kf18qKxkSTMJDzAAO5p9XpQpCr4wSCdhCTBSszaHClLuorV6frNsPt8hU1SEGDc7jL/cboyngGoI4bS6wDgK4nuGKmk4tAEg6AWDZ99BKYAkJGpDNLlGD1gDWMqVG/Bh8FQsJuBQwtiMA3BHEHbqh6uML6KmAyxoMoE4fX/p9A9w8lPHw02kFp1ABq4AXkIIvVQpYqxOI7KGocS5UbGohkE2Ak+8RaW/JEp3spd51nAhEdC5b3H5VDKBCBFKidTkFBsoy82FCCDNQFk72QEZpKBxHYRpaXbcWM0605qwIyIpBSzupF2uTUoc/WDyG1A5HxpQQWuRexAAqUsC0vZr0nijXgKZczRw0J1FGXHNWE7kja9QAMvAlMygvURuYQLo4UneXSQ2t6ec7D4TeE1VxRSWrAZSLWcAYQMEYPA9RqYZS2JACwFZAMMpqAOUsosoGJmg1UIG4bg2I2bBSsE0NAAOFwl0D0MepbEktI12UeC2EoTyFGya/jwA+yrn7okz78FIAKDKGBFCmXTwUYhYlAKSAHhXUOlLAaQ0gPeeioMKgJmodTGXKABa0k3M2MFMjAtnRgzGAXQBApuK1BE68qjU/4fN/K1lEhRG0zhgAtSVOCiJVSmJ1PaWWDYwijVzYj5h70BJJyoDWu0jFEwWr84BPGwkZiqQGUNH+zA8p+yYBTgV+hgFnECu0T8kch8SqgjFORQygGHzxak1pGrroOBLPuIbUi5AHkDLxBE1lF3V2kfdmLhUxgAw8iZnMVistlBc+JzRqAEFrzqTXg1cBd46hGUQsBSzsJZxsX/YilBBKAGC8fVFtqsrOhtmOSMobUuWpuOarFUapGbVCZNWnYMepNVALghQw0t+dp2g/Rscn7Pet0dIuU8uYB5Hc76WkqEOkALCBeofFEfXgqyrKRPj9ixlAKiRRMYDNZAyiFHBaAxgpziXtviRcpJWpFY1iDIDrBILtCABXrVpl9PnVq1c/TyN5/qNcaF2ioVylKWCFCbMK9AByBo/1Ii77ypS7ygamHRaDWECdfqUPfLUSuUAEorEPVTq98FqUKoi8ZCUseSApe7YCxQbKrbROSuUbp1IIpn181QCwJqll5OvvhAbK/HFIOpoUGmIXpF/bnBq6yAZGlgKmE1yzAACqJlpaOxfIaudYDWBDqjylE6AvTQEXMZkpSyIGgHwNoKwulIoOJOcywwCKr0e/LOUIZBYr0pR6UZtEdhyBlH1jAifJ4oYUsE5tFXMGZBZYsoVmkADAJhFfD9o/uxTIawBLKo/LjKm2RAXcbnNANg8A+0CShKmvYCFVimo/YcyrXqBuUZiUvESCRZqvlQJOFmmCFHDJ99AkMQDMtDLMBQWHIsGZp1OHCDgGENsRAL7yla/EP//zP+P3v/+99DNbtmzBt7/9bey///645pprttfQeh66vYBVClyV/UnqA6i+fDIjZ/b9RduX5EbQuiIQnePQsnAp6gVs3Ve5YHvPSydQycqaTfbSGkA1cOLZBaHxMLWiSRiKSHAuKACUdvEo8AFsB4SxC9L0KwdkRfcEs4coZADFaeh2mLKQwokaYBOfzLok9YwrGIMi5ZiyC2pVd8kjiARlAVFEmJWGsJUckNbPSYQ9tB9xCxWxPyWfMpT8NlIAqO7MUpV08mgFih683PbxOMTHQZWYxfdEscBJaDuCNOVXUtQApgBQXWIhuycizhpIdD3CcqIEVgBACpzE9ZTq3waQLhQBdALAJBUOqJkvKqgRKqpLaQpY1dGkTJlWobE3ZQDl6deIY7fzJEbF9zUZwLS2tHMMxecBgAOA2I41gH/+85/xP//zPzj22GNRqVTwile8AgsWLEC9XsemTZvw8MMP46GHHsIrXvEKfOELX8CSJUu219B6HkVG0IyB06pbE6S5NCxYADmDpyO+UG0P8ApeNQupEpIYKXgLehrrWeKI1MzFDCIp1YBgXPpwrzDvOjsVMDUebntVCPfAFakDcd1jLVegXWYMYAFz5rWFXmUtXoBRkAIekKhfCxknLmUYBZ0TRJFhb/Y4xAxewLwIi9rRydkeFDKAaTrUE5QFtMKImTgL27gB2RSwIpXdllVBJeeh4oUIBOcS4EQHUgawwAcwLACAnJpZllKndW9SYVApZZ0mZeUNrL5VzExTUYXMeqTFq+yFKmC+BlDdVaUtEQZFCTtJFbKiKEf096UWgcjuy4gTOIkWSGGpjlLYULKQ1FKnJQLk5ZQR3qToaMKYNaGnYvIbV6SAw/YkfCQp4Nyz3+dEIKLFFQ1apiFSuNMxlFTdSACXAsZ2ZABnzpyJL37xi1izZg2++c1vYtGiRVi/fj0effRRAMA73vEO/OEPf8Bvf/vbFzX4A1JQJDMV1emioeNdp+oEEu9DXMNXWPeWRE1VA8jqGOW9hOP3dYQkxW3cZCtzLUNrBiJVLKR8DBRU+RIGkPVsFdmOAAwwyFTAdEVc1EGj7EUoS9J15WTiIZJJkk/XEQFTwqeApW3YqKG1pKOJstNBbgyigv02X6tVwADWJZ1ZCCsOlwlyUuGCXD0rn1wAAKUyA4eidFuznQIO6aKASwGLzmXALQqEwbEvdDLMBwPk0jrEAhFIu4kqtQwpaM1X88TgiY1By6BcrXAvuq/KEgDYbrVS6xOVCliRAg4LFgXUBL6sBIDx+MoF9kTSjihtblGQV74iZUJVJswRq28VmXKnvaGlbS+RCpxEDKBPhSQKABjRVouSekp6z0eS+xrgGEARACwXg9D4ixwDuN2NoOv1Ov7hH/4B//AP/7C9v3q7RcmXpz0BvgZPDp4ooGlKUmX8Z2QhY990LVy6BW/8GEQmyiY+gDL1q04rONUYdAAkSdgPobFoFLHG5kXMWZ9ENUqKACDHvtQpY5R79laYFU0xABTVMrbDCIOqOimgUAXsF7KQ6aBF55JXAUsBR0ENYFTk4adhA4OitCXiov9y1BIDwDBE1YvbackZwFSNLBpH2KRpaAkDyDNqEqaEpcBk16OUnottIjaVZ5xEIhCAqZll/pIU6BfVhVYVzBdl1UQ1Z/w+ZDVfmVSiQgXchya2SdvqqQE5fUaUFObDVdajWm2qLUvps4WiXxPywvQc01SzcJyq7jCcL6RKBEKZTJHCnS54VGbSlIUU1QAC6T1PVK3cWLlJ5/VgdYgFhtaFvYKnQTgV8PMQRayVjgq40iVrxe8/D3x0GUAdAFgMQkvyfWjUETL2TtRmKiKMZdXZh2hVq2VnQ1NMooc7x2Tl+1qmA4gf+DEDKJjstdie+FrLGCMGAGUgtFQB8eJjFPXI1Eq/UrNZCZBN6xAl2/slED9+uPthC4Rkz4XeGDgfQAGgJyzFVcA4eQHCSNzz1CtiAJEKEnxRCjhI0+lSNrWA8QkURe4AgFIZUdJ1QzZRptejgAH0xAwgTTmG8MXipPxxiBhAzUWBqvatHFB2W3Yu49dlDGDEdyNR+gAq0q+cn6Eo6NgqCvBVTVotlusqGxhxSQCQ3tuy1n4sFa5gAFNzcBEATGFlxpoqF5TdE7keUFBIF8WiiFiZhrieMmUAFQCQLixEAJCmoVUpYEKkNd3TKRwAfB6iFzYwKuuSQBN8yQBcSzN9q0oBNzXAGz8GFfiy7QTS5gC2CgzXFGPQYSGVAJCbXISpHYClTvu8FtrtzoeS0tIAiIUhrPZNDL7YxCObJLkicU+Ufi1SSnLHIWUAI4XRLY2Mf50CABaomUseQSSY6HQZQEAMQoH0/EhZK6T1aKJ6q1YQoYoEXMqAEw9kFcpw6T0BDqBKJjJfUasVvx6fy6pEGU4BYMuricVJQCpmkQCXUiEDmAJIOQOYAFkJmC6qO8uUWAhSp/y1kJXtREV1oQlDWokkKWBCGCiqqtrqSSx5AJ69KxDDEJV4Qs6c8b+NQJF+LTOPy85rWmIpYBUATAROEpFVygDKx5CWm8jT0MoUcNgGIBe6TJdwAPB5iCLvupZG+rRWlgMfClrKoocZFzIbGN30bbWkYO+6TENnxqFIRdP3ZKpRGjoMoJKFVIBxyuIIGQbqc0Z8VEUdG4BM+izTG5W9VjC5ABkVr+g4KLuQb++U+R6FX1rQbqLkkcx3dX6JuhdwqaglHveeiPkK2i2UvUg9Bh4EiBgCqtaUMoDp9rI0sFckXEBqt1MKxSIQZWs/7nXZ9YyK2rjx45NMlGXmTykTYND0ayAsNVEqRtmXUEZVDFyYMEOahqYspBz40MVNUX1rhYgBPf3NyXsiqxdX8caUFRan5OkzoiJrPxa2UULyrCmsASzwQyxQVKsYQPqbEd7b3GIlUFiwVJhhfCcgL3E1tjIwnZa8yABg8roChIIBQBEDWKxEhkIoM53CAcDnISqaPoC2reAYA6hbwycTgXShAtYBb/w+hDWABj2RRewC/5q6pV0pGYMITGuk0xNQVSGtTgsWVZN4GuV66tElaj+kWpWzffCMUeeDtcq8COUAkIIOEQMY8JYIBTWAVS9EIAAdDCDL0p6AEgBGGUNsWSq7ys6lKJWddp6QgZ4ySOLrKEs7ekUGykgBYFnCAKZilgIVsKT3qxYATMCIrOifAXKpojot+hf9vqKClGO8j/R6itrilVTtz/LbS1KfzHZEUofoVdS/jXSBJTkOLgUsBS0FFkcee0ZIgBN3n9T65Axg2YsQBOLrWTQGeo5lqfB4HIp9+KU43Y+0LEUUFACWBfdVqapWlgPgOgaJ7+3A12AAE3Zb1FeZsZCKNLTM03W6xZQAwFWrVolXaoQYG0a/EKOofVlag1csAlH65xUxgDIfQE0T597UAHaXfk1BrPw88F1PVGNQMYAqT0afZ9/y15RrbC5s2QUAnod2ifqEdQLA1NJAMdFyk5yYAYzHoQKAhLFWnQ8/KjqI4MlBCzcBewIgWy5ie5CyUTXBuQyTlKNyDJ7H/OCEAJD2I5YxgNz46p44bUn7+JKyHHxRQUJZkPLLpoBloKNIzCKvcWKfofdLgT+ltA6RYwCFz6rEJqMlasHGvoQD9CJWmN0TxUpkaY/q5Bx7kvpWv5KOQcQiMgawEAC2pAIMxjhJroeX/DZqshrABHBExENN5LPJq/Ql4MRjvbbVKX1V6lOVOgVSm5ugJd8HFbOURQxgNWUAZdeTAjspA1hQ2gCk9kJiAEhLGwIpoHf1f3FMCQDcc889sW7duo7XN27ciD333HMKRtTbUAEn/nWdGsCWpXoWUHQCMa3fs2mhlt+HEkRqePgJz0O8vcoDMDsGOxUwBVV9aHYehw4DiFQ0IPToYu2yNACgJ2atakkK2JOpNQE2Cfui2jkqnkBVXu9VqjDWSSR+YClHGeMEZFKG+cVNyNdqKTrUMMNbkeUGradUpG89DjCIziVTripAJE1HShnAwhSwGgAWsT0Afx5kKeACf8pymn4VPatYqk4JplNALwJf5aK6UA3xA00By+5tdj29tlA05xUx7JynotR7jgFA8fWgz4iqhAGk/aWbqKBWFSwUuftVauvDAKB6UVFRGCBTdlsEnAAgpCbMCoBUSRY3IsP4ciKEq3rydnKELdIkY0hS9SK7Khoeq2/t3Acbg9LqyQFAYIoAICFE2IJsbGwM9briYfMiCZn/Hg2dtGNVwQDSFHCRD2CtIq7h0zGi5t9vBVEHY0uBUK2ipwJWdRORMmdQnwdmAaOpRLZlIX3OJ6zjgZJMDLIWUTSoaEDULJ6lHBWgJe0GIjZhpj1bpV6E4OqUSLMjlc06HShEBwAQUiZTAAArNA2tTAFzNiy54yBFAg46VsYAdk4QvgEDWJOwqamYRT4OUqFF/50TSTNIjaCLAKBU/coYDgUDSO8XSQq4QgoAOccACrt4FNWcARybKk4BM8uQghrAkkcQhOKUXa2A3fYzDJ78XMo6ifDWSZGs9k1Rc8aPrUaawuxWm3aokWUKfL/Q/qRIUZ124bATTwBp+jWUqYCjkAFAIQPI+2zKWvsVAHL6uuj3TSM1OVczgNKWdg4AAtjOPoBnnnkmAMDzPPzXf/0X+vvTH14Yhrj77rtx8MEHb88hPS+hSjnyr6ttYIqNoLUBXG4fOsKH/PjaIcnU+zUZA2hnBE0IYYycCkRWFWKYXnQ00WEAaX1PXVCnRNoNeIh7zw4pAWDCAArc570CdiEeIJcCFpyLOmkCnl4NIAUdda6bSJRM9kXgK6wMAO0tKIWdx8EAh8yKBlDWAJI2pzpVRMp8dT7E6SQZ6CiRJYa3rHZOBhgAZrdTFaSAmzwDKGVruEWFgLUiihQX+0yJmlGLJ8pKUYtCzoNP+Kyi94Qs5QiA71MtqnlmYKTADgeQpz6pwMmXLG54RlcIZFk/YrkgJ4IHHwSeRBxQpAz3a4nXJ5oII9KxOG9OTqCKGADOlDzvQr+KctiWq7oLOu14GgxgkVKfgtAiJhRImbZMcCn9CZmYhbH04jEwkK0QszCFu+B6lPk6RJmfoasBBLCdAeD9998PIJ78H3zwwYxqslqt4qCDDsJZZ521PYf0vAQFHBGJ2bp8z146gavqzpQK3IS9KewEUmAEXdQLmB9fMwgzgFBXSCIzYQ4iAkpCqRhAvq9yFBH4XLpX1w9RxwhaqYhWMEZBawIVJK72SgAYTxCiTgEpA6hSAfOAQcUAylPAVLVHQWS9wgHAhPmQ1eWwzyma3lMAKO1/C6h934pqtZJI/c46H+K0XZ+0/RmQqQEUqplpgbkKRCYMoAgAtsII1UIRCGefomQAVQAwAcKSujPWoUbqDRnfbzUJU0LPpbTmDCj0M6wwBlB9HgBI1cwpAzio3EfMKgtAR3Ic0gWW56Ht1eLvkfSHLQKA5eR3R1sU5h9pQYN2qBF3vwCSlGg4LmW+UqN1mR0OZb6a0iwbWzRJjiOiAFCmwOXAaUVRy6ju7UwZQAkA9IoZwJICyNJ7Lfa3lIFQpwLG/9/e38fbUZVn4/g1r3ufk+SckIQkBGKIIoIioKEiIIq2RlFQS6s8FUEo9CdFsRTRltpHLU8talsq6gPoYwH1Z5XWt0fbPNgo74oImLSIiopoEALhNW/n7Hld3z9m7rXWzJ6XteackxPOWdfnw4fkZO85a2bPnrnmuu/rurGHCeCNN94IADjrrLNw+eWXY2xsbE/++j2GAlGqIoBK7tcGBVCxh692EoiqC9gZJnz871M0ksjKSxMRlsldWbVSjaKZspmlwQQSB5PwkCmATYosNw1UxIZwBVAxPqW8BsbEBA23gQDKvVLDSib1e7WQLx49Uno6Z4w3h9eaDuT9qFpD2OLWpNdxAlhRAqYpHgoEsK786rTFp0D0o/kVjku1HkCpVNagWtWGOEv/VuXqBuTJE3X9dzlxqpkPTWpY3EgAJfJVcbMVZegaZdp2kFgOHJZU974lMTfU1J7brng4auzpbPh+RZaPHhs0lF+bzSzUekERSSOlPr8wn+0cwq8kZoAofdatgZO3WgJYNGBUPRhzg1NNWwCtIWlRAGNmo1cVeyWV9KsyT4F2RZZ+XndeA2LOr+3V5xn6iDDREusz3zErPYDXXHPNnCV/QDNxAhRjYBomYGiTr3IMjCJxsm2LGyzK2wjyG0YTecv+vbr/biDdcBqV0EIZulTKViyFNzqRc8WgsYxMo6Ks4f67OO+dC5jXuB80KsqrUACb+lk4GoKDk0jMOnX7DT2AUpRMVwIIih4pl5mSEHYerFobiJ39IwBSCIrnNmuLcOHbyCNYKsgXL5OpkumOCiCVuav6rQou4DoCRw8VNaSFR7s0qcI0o7qmVObzh4Kaz0PadhINb4MUQJVjWdkfC2lqRN1IPEhN/5WubvHA5PQbxtGhnkxz5azhoYDOe6sipzPbRn3sCCCU95GaFo2Yh2q393TWlfRdHohdvR9yWkFtqDY93NSRL8o5rImi4de7uoqHdK4ktcey2YiStsQbgbHmxAFHlKFrewBr1jbfsMdnARO++93v4rvf/S62bduGtNQsevXVV2tv75ZbbsHf//3f4+6778bWrVvx9a9/HW9605sa33PzzTfjwgsvxL333otVq1bhfe97H84991zt312G69iwrawEXL7BpClTMi8I88M09AB2VADpNXGYzJgC6Lt27RMxUIy6GQq0nqISCqgqgCInrEwiE146rX+yB4RrtJIApgoEUDKBlNcQDSb4F7lJAWwkPjwst4180dN56eleunnXlhxLaxg6t1XicABOnpyK0icdy8b+vZYQZrdh2D3B4QPnh1WOME6ECaR1AkY1cSL1o9Y8IW27lgCyCLAaPg9p/6oy16jMnyoqgLsq9sNvK0MjV53SyeqSX04AU2ZV95wBrcfSVlBTyelcGS0EcV7VqcK8T7iGCBMBbGqxoPO+TvkSo/3aFcAoTTGC4dYahyuA1dsg8lXXAxiFk3CREcB+JQEU+5fWGEnofK0j5E0TiwDkUzwyVH4ekgJYV4aOQkMAgVlSAP/mb/4G69evx3e/+108/vjjeOqppwr/dcHu3btxxBFH4FOf+pTS6x944AG87nWvw/HHH49Nmzbhr/7qr/Dud78bX/3qVzv9/jLaMvjk11TBqyFv8s9UydcQYVDM8JO3UUci2xXA6v47VQVRViHLihGPgWntAWx3Ijf2ADZk8InokuoJARwUwVLRoG23lJcKa6i4wUTBrmwtzKqfRww0lrJV4lPkNQ4pgFLOWVVAbPn9leVXHr/SdiyJAFYcS5r/2aA4FcrQyXDpszU+Rfq3qpFXkTzRRMEFXBldQqSuYQ2kqjlVwb9SW0BtCVj6rNOKm62TP6ykdeVboFDKrlKdPIW2AJ6tV3XDzwngBHo81WD4l9B5XaMA8tDg+mMZt2QqimzIOkW3WAIuIwnJUd3gLG8hPiJmqfpY0ufct+oVQJc79auPBbObDRhxQApgTcuL7SDOiWdcQ7LsFjczraHqWpltWHxGlQ536m21YkRRNQGkzNH5jllRAK+66ipce+21OP3006dtmyeeeCJOPPFErTU861nPwsc//nEAwKGHHoq77roL//AP/4A/+IM/mPJ6fMfGIEqHHbjS31V6AKskbN0MvikpgE41iQwUCWCbAthkAJG3EYdJRQl4OsfRNZWAxYW1nImY8L61Zves5dZf1ByFG5SsQg6XobM1hHVP5YSG/jtOAFvUN4ucp+UbRK4WDeC3lNPFGoZiYEgZUD2WFTcp6gu0Gg01zSVgjyuA9Z+HmHkaDjXcJ3IvWy1hqC/pA4LU2Q1RNFYDEUYSwc5H+1WOHgMA20ZqubBZXNl/JxQnBUJfl08JBQWwKc4mJ06T8OsTB/g5FSKoINPcLNRApum8t2vMAXSM60qnRABHEOKJytnO7SarNuVL5CFWH0tb7gGsUb6oZaGOAPLvXo0JJOK9jG5t+H4EDy6SWiNJawmY55XWKYDiPHGqvh/Sdz+qcfsmRgEEMEsKYBiGOPbYY2fjV3PcfvvtWL9+feFnr3nNa3DXXXfVNq8GQYAdO3YU/quD79Zk8El/byJwXkMJmPfwKZo46kbBtZE3YOrj5Or671QJJCCORZ2SqR5GXR8mrVYCHu4BpOiKNvcslSqoeVmGGNnVpFo19wACQAS3sQwthw+XP0/qfWrqkwIE+apTAAfwhhrgi2toMA20ZK2JNeTHskJ942RIqQcwrM6uYwoKYI8cl8NOw8JIu5YScF2wNz0oNClnNi+FD98o5dF+lW5NWivv+RreBjnWWaMC2Nx3RqXwJgKYNuW+5eflJOs1jFps7gFsnUcMEUliVYWLQyKAtTOqcwJohQiieOifiXDURZ8AQl2sMjcBsnrXPBO5aaKJ05LLSJ8Fq1UA6WGzvuUlJCdxDclq67EV7vZmBTBgLjy3QsOSHrqSmlxHQwAzzAoBPOecc/Av//Ivs/GrOR555BGsWLGi8LMVK1YgjmM8/vjjle+59NJLMT4+zv9bvXp17fZrHbhSdImtML6s0gSSExl1BbBIfFTjU4rbqCGALTmAdceBSsD9liDpbJ3VZFjkAHYvAev2AA71dCpMbADEjaNKrRGuU4XybYURhRSnqE3Qb+oBbMkYI9heDZGVFMCRulJdYQ0VyhdvtG8jgHQso6HQXSKFTQ5e0QNYcRwYk/Lz6o8Flbl9a5h00OeRwgGcms+kpW/N4WXoBicynVNVZeiBuMF5CuSryoDhcdOBWrbk0GznlHEFsCkaSChfw2tIgixvchK9+utVw8MRIEr6TQpgwhXAlvJr3XdUyt+MK8qLNFWl6TpBxKeOAPrcUV1zLCWXf50CyM/t2mig/IGghgAmPKy9vk0jyqeJVM4TTiLYLLv21/Uhgh+HOgKYHYcQXrUIIj10JTUqZB05nW+YlRLwYDDAZz7zGXznO9/B4YcfDs8rnkyXXXbZHllH+QmGbiZ1TzYXX3wxD7MGgB07dtSSwDblrK1syUlP5fSKKRowFJUzQJCnriaQOvKlVQKuicSZnhgYhW3I7tlyzxgfNN9MWohMVJkGOGlp7J2T11AkPVGuAMZWGwGUynWlY2GrTCOBIFYuC5GkjJeBWDSZBWIzDwsaCWB9D6Cl4oaGIEV+Pk5ODih3FYiTXDIcOieSiLuZrYZ+SnnaQB0BjG0PtWdFoW+tfoJGbf+etAavQgGMgkmMABgwD37D55E6PhBVOy5dMtmoxPpUuLqjNJXiieq3QYR/yFiEjAA6yAhgvQLY0NoA4Z61aswTgIgNcuoUQP4drVN0xbaJtMpIucLeQAB5n3BdCThXAGtNPbLBqloBbHu4Sfln0UIA68/sLEye1Yy0k923NQ9pXAmtVQCz7Qbwqq/bto0YTl6GrlYA60LH5xtmhQD+93//N5/48eMf/7jwb40lrGnEypUr8cgjjxR+tm3bNriui6VLl1a+p9froddraZLPwXv46sqWLcTJqyGQAHjTuGr8SS0J1SkB1yh4U+4BVFAA66aBqJpZmmJgxOfRVDqtJ050IYlbJmjYEnEa2nxbWC5QIAydFcD84u4hHtqGxYOHWxTAfI0ekkLeWRSISQdLG0vA4mZdzuiycwLQpgByApiTL/m75LDmEldhDYiGZ0xLSljTSDuHr6Eil1FFFZZVq4rWBK4ANuyH7QsjSjkkXY7rGGuoNNTmOkLqOWtSAOU5vOWMzITxPES3YUJN02SXeLALPtRLwFXXS7dtJB4EAazsO0tT/uBWe07YNgL46CGsNBiwuP0BizWtAcJRXTcRpW0uMyCHg1cfC6tlCkcqpR7UoXGknWzgqLvWtBHAhBRAt9a8F1keXJYgrlMAo8kKj/T8w6wQQAqEnk0cc8wx+Na3vlX42X/+53/iqKOOGlIku6A1/qRVARQmkHKTubICSL1zUQ0JVVEA6/oIlRXAGhdwrEYggenrAWxyVDcrgFLPWE3ptHbMVI7a0ikEKWwuAdM4uqoewDw+pdWJTPlYVQ7cFpdjDll9KxDAQUYAg9YSsLhZP10moTzCpZkAUuN3VdmR36j9dgWwj3A4KFYedVUVMsv/sb6XkZSPRjczqT0WQ1JBvlyF+BRbIl/lkHQqQwYNvVqARLYrSIdKL2RTrE8UJxgjBbDJnU7GoorvBpGpCfTqv+fc/DCsQsr70TSiUCiAVWVLcWyalOXA6qPHQiSDinGPpAA2ZUvSQ2IN8enl035qcx0lR3bdGLbWWJ4GgxUgZgRHDRWP2O4BSU2YdH69HDAPXt3DPz0QIAHSBLDLY1VyBZDVKIAA4nw+U70CaErAwCz1AALArbfeire97W049thj8dBDDwEAvvCFL+C2227rtL1du3Zh8+bN2Lx5M4As5mXz5s3YsmULgKx8e8YZZ/DXn3vuufjNb36DCy+8ED/96U9x9dVX45//+Z+nbRRdnXtWdwoHY0BSaujVjYHpauAobKMhx6/L+weReglY9ABWHwfVUXBhkiItHUslFVGab1kuv1LfUt1gcwLdODxEQ2tw2yY2AAUn8nAfYl4C1lAAyzfrtkkHBJsTnxiBVA6PJMKhRqaHCYPVErbLX8dVyFLQqzSNxFbIAWzqhRwwD25Tf6s8bqqun7LpnJCUJLuq/46RclZ/LOgmXkXoE64ANp+XqHN1o71cmC1QqE5DJeAo5E5kp7EEXO/6TMMs4iiwevVEtsUE4vO2gKY+xAYC2Db/NgfNsE4r5n1z5avhvLQaTD2ATN6aFcC6LEJAmHLqSvL8u1dDQlOFigcpgJVOYm4Wa7hOyM7eShIp9QDWEcCWkXaV5el5iFkhgF/96lfxmte8BiMjI/jRj36EIMg+jJ07d+Lv/u7vOm3zrrvuwote9CK86EUvAgBceOGFeNGLXoQPfOADAICtW7dyMggAa9euxYYNG3DTTTfhyCOPxP/6X/8Ln/jEJ6YlAgZQIF+KPYBAff5dV/KlowBOPQewrgdQXQHkJeCh/aCZyGrHARj+PNR6AJvME6T2NJOWQs9YqTwjbrTtJeCRBgWwtQfQEaXT8uehlEUI4QIul5Fp1mmbG7qpZ8xWKYVL/z7kwJV6yJyegmpVGYfTfnPJf0G+H1UlYAq6bdgPxwdDRmiqzA90TjRNVXG9eiKrmk/JGiJYRNmzmwIomyGa+u9E79vwGkgBDJrOK/55xojiYQcumSeaHrD4jOsGApgyqzp2JEeYXwPSoEJdohYLhdaEutJnv00BLI2CG0KawMsn1NSRyKaIJUD0MjY98PJ+6MoSsGhNqLv/FEr1lduQegBr7h+0hvqZxkYBBGapBPy3f/u3uOqqq3DGGWfgy1/+Mv/5sccei0suuaTTNk844YQhR6CMa6+9duhnr3jFK/CjH/2o0+9rQ20MjCZ5o/dQqjtjTFn5mpZJIKRkShd3xtiUFUAqS9eGu1asoS5Tsb0HUPyOIE7Rl36nEiHPb5KelQxFBLUNieeb8IkAZiXDnvTN89r6iwCpvFOhAOYmkLSVAGZkwLeGewCp/NZGvgSJLJIOUgBbR8k19FOKiIoW1Yqrb6UswURNqZFzAMu5jkSEArjN3y+3+jhk26B+r4b9sCykTg9OMqhWAHOlxmtQAOXJD3UEsGn0WLYfNbE+aO8Xy94vPs9y31khgqNprnJDzxcLMzUtsNqJU/Y7h2/sXj4RxW7sQ8xNWg0l4Ixw1F+vQjv7PEi1lGErZBEKo9jwcUhTed53iwJY44aWyVStKaclgoUmxjQRwDQ/5yqnieQ/G7B6BdBxPCTMgmOx6l7ERDyk1V23qR2mbqKJmQWcYVYUwPvuuw8vf/nLh34+NjaGp59+es8vaAZQN8pNlfi4UuO2vA1Z8ei1RLDUTQJRJW/yawo3e401TEsOoFvnAiby1kyEPccCVY/q1NDGKBk5V6rUU2IpZtc5crN8aQ28bNlIWnLTQMXsWCoBt/cA1pMWR1F9K5bDxTa44tRKAOsVIzKBtKmQ8qzPwjYUS3WFPMQh8iYyFZsVwPo+RCtWK2WnDU3/pNR4TUomn3jQRADV1NQq8sXL0I1qqiCh5YkmNP1iAA9oMvc5TQSQzis1AlhV2vNBCmCTCjmSr6Gp5Og2XjNjWqOUwUiwFZzInABWrCGME4xY2fHx6uZ9t0xlkb8fdRODbB5YX52FSyXcJoNTzHMdK8h0JOKi6iY4uY4tWheaFEDm1Zr3koZ4o9q1zUPMCgHcb7/98Mtf/nLo57fddhue/exnz8KKph91+XeDvPTZOLEBmRu6ikTKf+7aAzjVUXCq4+zKa5AVWq0ScJ2Sqbgf8rEsm1FClXK4dINJS83DNlcAm92zTa5RUnsaR6g1jKOjp9z2ErBUvk3KBJBCZpv3g2/Digs3/EQh5wxAY7+WcPCqEsDSsaQbNXPgew3HokGFpDJyxNzmEYNyGXpoogk5qpsfCmpLn0kMB/m53ThXuf6cSnlbQFsPIPXfVRBAfl62ryELH67rQ2z5PBt639KIlOUmIuwioQpJRdO/yjQSTgCrHLgUPNzS30qko0p1otJyU7SQGC84/FmEUjnd69fM+yYTiZU2GjAi5sD3q8+LpsB6QHa4NyiATePkqMe24Vh6toWQipMVBimZkNdtI+FO5GqlzxDADLNCAN/xjnfgz/7sz3DHHXfAsiw8/PDD+OIXv4iLLroI55133mwsadrRZn7oK5Q+q6Jk5D8rmx86lqHl19StQdUFDBRVQJ0cQK+mBBwrTkSR19FpLrLjIs2/KuWeEiKAjb09gKQYlcqvjIlpCQp9a1XlHd5z1jZDV1LOhhXADiVgyQRCwaptbuiiEaUU4qy6htoeQFEaajyvZNWqpgTcqgBKLt64dJPiYcItDwXgmWulm5R041RRAKtifcjl2EYARZh06UYrnZeNa2gKglY0otB4tSrig0jtwUIoPsUHtCQVUTRNE1HAMxWrFKdsXZkCWH/NFWsYJh1EsJvaPORYnzKigSCAfi0BlEvhw/tBP2siX9SHbFesAYA0raf+80iaJrtwMl1fvs0UQK/w+upt1O8HJ6hVBBLVfbfzEbPSA/i+970P27dvxytf+UoMBgO8/OUvR6/Xw0UXXYR3vetds7GkaUdd35pW/IlrA6UZuLQ922o3P9SFOKvmCMqvkW/2tA+ubdXOg+TvL/UyEvENOBFWPA6oMoHoKJkOUHGjJALRRmQT24edDoZKChTaylpcwLJaU7hRSsHDbpPak984RhAOZdeluWqVtpWAG1zArooRJVskgNwFLB3LVHGUHC8hW1UqpOIaHLGNqhJwW6mu0QUsEcC+Ql8oIGYxE4SjukUBrJn8wOIA9K2qK9Vl2xdEuBypQ27NtpK8LSk+hSxB+bxsIk5Sf2xSOi9VpkYAgOVR2XHYwEGfadzyYBFbHnxMDqlvYSzCqJ0GQ00j8eGjx7zGyUek+FapkHyMW2Owd3acq+ZLR3m0TMQceE7N8ZRL4RUEMM5DtYOGmeFUAm7L4GsigGlDtBB3ATO/VsBwbQsh8wALNT2AgpDXXfv5hJvaecSmBxCYJQIIAB/+8Ifx/ve/Hz/5yU+Qpime//znY+HChbO1nGlHXf+dngJI6ptQOTpFuHTM8AMk5UzKEuxiIuHbyK9Rggi3H4ceL4VXR7i09QBmv2f480hSxiN22khkYvvw0sEUFEBxs56oUK2Atpt93i9mMa74EZQVQJl8xdUEsLHhP3tBttYSmaZerbYcQdk9Wyb03HXadiwlMj2IhwlgAF+ppN+rmIks31wWNj3cNMwb5SVdxVJ22YARhQOumflNeYZ0LKsCynPS0jahxiq1JvAsQfm8bFQAxfbT0s2a3LCtfYhEhBvIF2shsqntAwnAouIawkSaRtJgAhHEp4EAop60ABIpqiAtRKicJgWwJ6UNJGnh2ij6KX3UfsttGxE8eIiGlFAAiMJJ9JARwEU1+9E0sQiQe56bCGD2b0PKNiC5gP1aAcN1LDUFkDWYQOhaWEP0DAHMMCsl4C1btoAxhtHRURx11FF4yUtewsmfHNXyTEZ9CVi/961KAVRSvfLXyERHXpNWDEwyTABV9sGyrMpt6EwCqSsBEzFuU0LltRbNLOrldIp5KT9R8r6ltt45Tr6iBuNCuwIICNMHR37DSTRKwOUHE7rgO4o9gENGkvzCzpyGfSi9vzbEuVUBlOJsCmpqTt5YmwLYEAOjWgK2HST55bM8b5TKfY3B3oAoI5dGoJGimDW5Nzwgkau7QtGFQlwHIBTA8jZSidT6TeelRATKN3yuQrZNyckVwCr3Ky85tqipdO6XH46iOEHfai9l8963KuKTyCXg+nOC93xW9QDS96uB0FOvZc8aDhfnwd4tx5Jc31UByHFOyJuIE8XcVB6HbCP5C9t7ACvHyUkRLk0l4JATwCoSSU59r9a8x1ommlTG/cxDzAoBXLt2LR577LGhnz/xxBNYu3btLKxo+tEWoKyiAFaNQNMhX4Xya4WJQ2kUXIUBQ8dFLK+VxsfJ29BxAdc6eDWIrGwCKRLA5m2kTvUFSdk9K5GWsHCjpYuy2xgxIV9wyw3MjAKUWwlggxFFxYkMFAKQC9ugG44iEfaQDK3BhSoJJeJTUhHz45L1ADZ8np5QAMtEmMh1xFpiYCCHzRY/D3ooUM0zLJfbopD2Q62UXdUDCK4AKpqTSmQ4JBdxm6FGOi/LRpKUl4AVy9BsuASsOh86rem/CwPx2VgKo/2q1iD3rTVdJxhXvuonuzSZesikUhX1ROQtbDHUxLz0Wd8DGFr102GcFgVQVDzq19EU7C0IoFtL3gomkAYjSVNWJ89lrSOANWHb8w2zQgDL/Q2EXbt2od9vufg/Q1DVOwcIEqTU+yaNgyN0CXEGBHmScwS7BkF3JYDyfgglVCUHMB831jEGprCGmjibdgJIF5TihZV6e9pm6BbGsMlriKSLWdPxtCzpybp08YpVCWD271WEweWTJ7opgJyUtpI3OYqmqHLw3LmmEWxAgfgUlBJJGWgkgNxQ0zRX2WlVlknZKkcD8UDrFiVTVp3k6TAyAWzssa1zQ0MeR9dSAnarH0wiUovgN3/PbRvMppt1kTTwqRGKU3JcFg1luarOqE5rSn6xnAvYNFfZJRWyqgQsx460RwNVqVYeJ4ANPYB+fUQSzbRt66fkZLti1BmVkcMGUw4plG4VEYYcGF+/H6S+VYZJp8JlX3fNzRTABgKYiO953T2sTQGsG7c337BHewAvvPBCAFlZ8H/+z/+J0VHRk5EkCe644w4ceeSRe3JJM4Y2BbDrCDQeAq1Avlw7y79jDPnYLq+QEK9DAIMKFVLl/YA0DSQaJpF7SgGsmkhC23MUzCy8r0W+uDPGLyRNg+azX1JdaqOn8gAeFraRULcHOwyHHGwsv/G2EkD5Zl86liJ4uFsPoKWQcyavwbVSxHHxZuuxGLBa4nCkNZRNIEk0gAMdE8hwD2ASZ8WnbNB88+dBDtuy6uSxMAsebopPgQi89q0IUZqil/ffUQk4qu/2KuxH1edp5SX5VNlRXczxiwJBQtvOS2b7sNJ4SPkSTuTmNTjSdJkkZYX4HVsxaJ1xBbC4hkIwdEPZ0pFI6BAUypbZm+uVL3L2NjqRGyYOiXnfzbdsMQGjXgFsIpFOaWSlXboukumtqb815WHSFSobxSw1tFh4joWIVT9UAFBSADkJrXIBM1aZtTgfsUcJ4KZNmwBkKtQ999xTyCLyfR9HHHHEtM3inW3U5gBqKYD1ESwq5Ivy74I45e/TiXCRX1NVQlYhsYVtyD2ApAAqHIe6UG2lMW456PdUlYDbSn0ARK+TfEFJIli5U7KVAJJqZSWFcVW8Lwce9mm70Tp9ADt50DCBTASszh3I94Ey/BLEpZFZvXxaQlOjvLwfZcVI5Jy19QCKNbISYSAS6vTUSUtZtXIABKxFtSIybiWIouJxSLkC2JIDiPp5o6PpbsABrP544/vLI+16PPqs/UYt74dnJQhL+8En1LSUgOtifUg5C+HVz+DNwdweEE8M5RlSGTJpyUO0PXEc4pRBvqyomqxSHqlTXEMciOiTfsN+ODwOp96J3DR6LHtzw1QVHuzdnqnYsyLsHsp1zOd9t5wTMe9VriKAVJKv/zxcPrEoLpqCcohxjQqGtQb1LobT4AJuVgDJJR8wr/7azT+L+jK0wR4mgDfeeCMA4KyzzsLll1+OsbGxPfnr9yjqjAuCAKqPQKsygaiWX313igSwqgcw3wf9HsAqBVAnB7DaBdy1l1EpBDoH7++RLyhSL167AiguunEotsGfyllLuU/axtCTtaoCKK0hiarJV6PjU9pG2UDBc85aCaBE7qQLMZPzEBXV1F6Nmtqq3snO1RKZ5j2AcAvTeKqQVPRbJSnDAmSlNntkUeP7LWkkXRSnoPYu+mzitsuzRKbj8g0/bldqsn+nzzMulOSVVUhAnJflmzUvAbcogJ5MhIujGulcb/t+sToCKBHZpi1Q2wF9DwrbjgcZ4UAD4ZDWONQDmKZqk10kBfDpIWU6J/QtCiDPS6xwz5Iq2OTKFgrg8GcBSJFFTQTQaYiSUYhwcR0LUQMBTHOlP+sjrFMAqw1WAMwcYAmz0gN42mmn1ZK/T3/603t4NTOD9hKweumzygTStf+OtmVbaCccaFYA9dfQzQRSZYaR/67UA8gVwIp+SpX94EPSZQIo/mwrltqAYmwI3aDa3H2AaLwu9wDyG05bFqFEAFNpG0mSwLeyz6Zx8oS0Da/kJHbyAN2meavZC6sVwCgRBLDRDS1to2wCSfgNzmvu35MVqdINJuETNNxW5Us4T8WxDOMUi5B9ps5IswJIcTdDbQHcPatWAgZEjxjfdq7IqscTFdVU2TDQCq62lHr4chKSKhJAz6oIB0/UDDX8M03Ln2e76gUArkR8yuDEiXmNoy9pjcOTXRSd/tJ5XTfvu23cY9Iwho2X5BuuE9QCUumQh2x6ayKANccBAJLs+LaVgJsmgdADV2PcU8OMa3owSZlC5WeOY1YI4Otf/3q85z3vQRiKD+exxx7DySefjIsvvng2ljTtEKPHamJgNBTASgevYv9deRv6Bg6n8HvlbamQN/l3FRVAdSW0qhSerUm9BFx1LKnnSelY8rmt0gWFxhqx5iHx2ftl9W0w9OeoZVoCAP7UPTSuKg/QZS1RGQUCKBGGcCCeiFsVwJq+MzdfU2sJ2bJ4w77cTxklKXxSSRSdyGUTCB3LuO1Y1qiQgOghSxSUr6rJD2GcYpGVKYDu6OLmDcjGoAry1VbuK3yeYfmhQEGpKayh+HnGqmuQ1uEjKvQY0/cjaTFwEBH2ECOuGVHYth91CmCqqGS6vAewngA2xY4ADXOV5Rm8jZNdqvuEATFeri3qiR/rKgUwPxZJAxm2vervFkElMF4Ee9dH6jSaQGy7WQFUGAXXSEL5ODqFc3uOY1YI4C233IJvfetb+J3f+R3ce++9+I//+A8cdthh2LVrF/7rv/5rNpY07WgbBaekAFaYQKKkG/niJWBNAlnVy6hLAKtIZKBxHEjhG1IA83Wo5QBWmEB0jgWpb+kwAcyaw1ueJi2L34Rk8pWqqj2QFYbSzZ7W1NYDaNu8hCQ3y8tRGX5fQ32TPg+X5QSwqccpR1VgbhinaqPHAFFishgiaT84cWorhRecq9UKYGuoNqqjR4IkwaK8BOyMtLS48F7EYu6bmO3csgbLEn2I5Qk1nACqxhMVP89UUTkDpF5GK+bjGQG10OBsDZLyVY4GUlGcpG2Uy9BcAWxRx8mBW60AEuFojoGxawigfH54Tc5wqU84jIrpESxWm/bDp3A0BCg3luQbxkUC4vNoiouy6PvZkKkYNfUAOvkkEOn1BUSC1NdVsciBbwhgM2aFAB599NHYtGkTDj/8cKxbtw6///u/j/e85z244YYbsHr16tlY0rSjbgqHlvLVkAOo6sAtTySZKoGUt6XThwjU9ACqmEBaSsAqJo6qySw676cLSkF9UxwSz19ekRun4szja6AbBCsqJbzPpa0EDDmsViq/5vEQKbPgtqqI1dlzfqqoAEI4NmW1JopCOFZGHlp7ACVSI5Np4ZRUOA5Uvi0rRqpTVVA99D6MUyy0MtJh9VoIoKS+FUvA6vtBJcGyAihKp2qu7CkpgDWmHHKGtzqRJdIhE0gwJhSnVnc6PaCVomj490uxBGwlYGn1SLsQXmNfKE3RGMp1lAOYFbM+o1JJnyVqDyYpr1RU9QDm51WTKachWgiQFcCmXsaGTEUlF7CNCE7h9TIYV0Pr94NPl2nIEWybUT0fMCsEEADuu+8+3HnnnTjggAPgui5+9rOfYWJiYraWM+1oUwB1TCBV6ptyCbisAHYkkFUlYPUYmGEHrs4oOK+mnK6TiVi1Bp0YGVIgHHlagZQPpqJCUvlGNh6oTkuQ15DlhElKS37Ts9rIG+S8NIl88ZBZF5bdsh9c7Sm6mXnOWZuCCHC1pkAA5XFqLa5R+d9lAwZTzJ3LtlHh6oZQ39ry8+TXWDU9gGhxARczEWX1Ta3cJ7+mPIZNeUKNZOopznZWP5aWFONSfDDJ+xBbMzJrSp9yj23LftSVXxnv6WzeD7ntoNxPyXgGX32AMiBIaln5iqSoJ5V4IgBIgiKBUx33yM1qFb1zFA2kogBWhotDJoD133PKVKycq6wwace1ZRNIvYs3adgPmwd71yuIAZu1Sbh7DWaFAH7kIx/BMcccg1e/+tX48Y9/jDvvvJMrgrfffvtsLGnaIebXViuAaiXg4SBobfXNqVYAVZyz8vunIwZGvsHolIC9mmOpEwNTRch1TCBcAawpAauoiHQTkst1TEPt4a7RsgOXVI824iS/Rrqw8ikDSv1e4jV8BBpj6OXzVv2+ggKY36SY9HQfywSwTTGyXTBkx7tApjXIG+NN4kHBuEDba43UgRw2KxHAKMKiXAFERwWQ9yEqfB5JzegvOk/biFMhBzCpIKEq5yWRyFLfmE0hzorl2yETiPQ9aXeXU99ZmdArkB4AnhQ9FJVmO6uGaosswbITma4TLdNlavqEAfFdUSWATVM40iZCXvOAl22c8TxDt6FNg4dqV/UApkIBrHtw91qDoCkcvL2XsWm2c1Mg9nzBrBDAyy+/HN/4xjfwyU9+Ev1+Hy94wQvwwx/+EKeccgpOOOGE2VjStGM6FMAq4kMXSN3yK5G2YIol5MI2dGNg8velKZNIpE4JuCYGZopB0Crv50PSa3sA1RVAJt1gWKyhtEgjzOSHAiKAttv+RFuVkB/zHicN5QxSlIx0o/b7CxS2MeyopptkCguwW/bDsgSZltQapqGcEWnxWFwwLnACqKIAVqgt8eQO8YJ+tx5AOidSBUJPrylnEXq5AtheOq3u+eIZfipqqivvh6wA6vUheogRp8MKoEprAqmQZeOBOCfaFEDJUR2UjUFq31HK0CsTn0QyojRWCqQ+4TIBpO9rW9RTZVwVgbuy20vAwHAZGmkMB9nn4zQogFbTVJWcyIYNOZvFGJj6YO6m/RDjBZujaOY7ZuUI3HPPPVi2bFnhZ57n4e///u9x0kknzcaSph31MTD6QdBVPYDqJWCn8D7dGBmxH8PlW/1tFI0oQHc3NCAreBoxMFIfonARt7/flmZk8oR8OSBWiQDmpgGJ+OiV2kRsSIEA5hdaq63ZHhCRHTIBpH4vlctBlUohjZ3qjSgQwIq4DMpGDOE1BvYSUtsDkqBwLAVxUjgOpd43+vy4OUZJARy+2SY5AQzhwVeMBirnGfJyn4L6lvIomuKNTvTOqfYARqU1kFqk/lBQVjIpGqjVicxNIOUSsPSA1XKdEASw2oDRSt4cBxFzsqD2sEwA1Uik6xORLZeARQ9hG2LLhccioa4TEsXeVDI/VChnSnOV5e93qQwtP+g1jYzk5KvCUMOSEBaAmDmNLuBGEwiR4SYF0BfX67r3q3wecx17VAF83eteh+3bt3Py9+EPfxhPP/00//cnnngCf/qnf7onlzRjqDWB8NJnO/HpVShflKWnbOIokSedsmnh/VOIgSmrbzIJ22Ml4Ir9iDTItFOlvtENivmtUyOA6tgQKN5cAIjQ3lL+naPRA8gVPOnJmiYEKGW+2TYfR8XLtqSQMBsjKrO8ybEpKSUxd/apPZPy4yUfS7rBtZT7AKEA+qVyOjeFKBBAkQ0p9iPNCeCE1V4Kr2u4V+33yl5DDxWlYO+cCDUpNdkLhIO3uAZSAFXItOgbk69V3DClOtpvaLZz9v5BU95bDrtukodiFqFlCdWpHKqtqsjSsfZYvQLYhqTCKJb9g2rYe00UDQQBTBRCnAExp7y8BkCYZio30RCpw6Sg9brPtNADWNXLSLFXXUf70TQSptbCNJexRwngt7/9bQSSvP7Rj34UTz75JP97HMe477779uSSZgy1OYAdFMBi35peCbg8Aq1zkHTVOLqOCiCtxbbQOm2h8P4SAaS/K8XAcAVw2ASiQkJpSHrPkgKQ+Q1KrQTMSxbSRU1VXQAgJgVYpRJwfqG1VQigmxswZNUqVIwdoTXna6XSMZULB/CVWhtEnI0IDtZxQwOS8iUrJXG7MlBeg1dSU/lno6F8yceSDbYDUCSAsvlBvk5oqG88/25oHnH2d6dVARQPFQWFXeNYykS2qABShIuaCtmzIkRSpaGgALZ8R0l1csvER6OULQhgKWZJwXQAiJBnv6QA8vGCCue2aG0ojXtM1M7L2jBqADYpeE0KoG0jzh24cWkNlDcKAL5X/6Bme/UlYCa7gGsqN65jIeQu4HoF0Gp4SHMbFUBagyGAe5QAFlLiK/4+l1BVAk5Sxgmcjvu1ugSslmI+kt+QqfdQxzkLiBJtyrqXkcsOXHkMXNu0BUAyw8hKDWN6MTBVCqBGDyE93RdulHIMjMKxSCtUK0tRoQAglQyLN2tHgwBaTgX5ojK0igIIQUyoTBUOdgPICOCIr04AfcnNTDfJWLEsI5Qv6QJPx7Kt9AoI92vZ7ZjoqKmkAEpGlMFOAMCEvVD5/X7J1S2UTJU4m2EjCqSxem6vbTJLdYQLdMrpBQVPbMNTHONWMBbF8ucpXPZt1xr6vMoOXD4TWWE/olzZTsKy8qVGhim/0kOEROorVQ72hpwUUKMAtinTlFZQRQD5XOXmYxHTcSgTQOrfY05jSd7hD1dVBLB9FFwWA1NvArEUTG9UsSmrsQD4eWV6AGcxBmauQ1at6EYrR5AoKYDuMPERJg61pxcigJNRNwVwRPqi0zZ0jST9EgnV6YMEqolwkjLQ84NSDEy+huoeQBUXsIhg4TdKeUKA0jzh4f47ke+lrgCWewDpptc6jg5SZIdkftDpQ8x+YdF4EExm8U0D+OirOKr5/FmhGKWKcR0Ero5JxEdVJQFQm10n1AUVJ/Fwuc0KshLwwFbvhfStUu8b3ewVSGiVqacweaJ1qkq1CUSYDvRMILKhxmGqBFAyYBQU3Tw/T+H7VVvy0yCA9PBRVr7oIa2xdw7iWJePZRKrRz2JNpHSGoj0tHwedWHUgBQg3xLLk3AjyrAJBMh6hZuqJvyzqOgBJGU5hlNb/XFti/fnlVsbADn1oF0BrCKhvARsCOCeJYCWZQ0pPioK0DMRNDOSMfCL4qDQ+6ZufogqVCtlAucT+crJm6YC6DkWT1sflEikioEDkFXIJP+/XoxMVS+k/OfOPYA6k0CqMtt4D2BzQCxBhDDLCqBCOGtpDT2ExR5AUgA9zdJnXCRfKrEjgFAh+OzdXAEM4SuV422+hoR/BnGkrpIA1WHSnARpKIBDxEejn7Kq3EYEMHBU3NDi8yySULpRq6uQhdw3adh962SWmixCK1ZTi4rbKJayPT41Qi3CBSi5mSWTVdv1jis+iAvqG98PJQWwmvioqoikANblOqo83IgewNIaUsUSsEdK6DBx4qHILYScFMA0riOAduM1kz4LFylQCtVmkpml7t7vOjYiNjyxiEA9gE0PaWTI8ZGZ9grgTmRjAtmjFJgxhjPPPBO9PHNpMBjg3HPPxYIF2cUyKNnvn8mQL1jkMiTlSyZVTagaBaer4PVL5IsbHxTfb1kWRjwHu4IYk2FOAKl3TlkBtAtr0JkCAtT0QkpxEUoxMKVeSEAcCxUXcaFPiZtA1G9QQPXkCOVxWaU1yISBVA9HgbRQmdjPg38X9IQCqNSHCPAbPkWmhEGmAAaK6p1Vob7xwF4F4wMgq6lSWDAnTuoE0LOKBJAIpVI5vUEBVCKANTmAtmLJUd4G0mEFMGEWfMW5yo7FEEs3W0vrWAoXr3xeUjh4ax+i7SCFBRusSL6kFou2aw2pTtSH6NjZdc/m5K3dnJRYLsAqyBdXltt6AKlHN8b2OAJQ7FNVObfTiqSAbA1qJWA+V7lCAVSdq5y2lIBjOI3XO0d+EE0iwHaKf0ezmcWTYmDYEAlNec9z00Oax/sxs3OyX1iDGEc337FHCeDb3/72wt/f9ra3Db3mjDPO2FPLmVGUCeCCnpQBqBmgXD2FQ68HsEzeVBVAICORu4JYKgHrxcD0S2VoMmKouoi9iuNQUBoUjkWv0lCjoQC6DQqgYgm4yjQgnuxVCKA8CUQigHmpxfHbt2FJxgPaD6bY5F7eBhENCpJWLd+iqgeQ1qC4DboRWlLPGFfiVFQrTr5K48tSnXL6sPHAjrIewMBV6QGUjkMFCVUjX73iewAeyxPAb41PKYzVk+JPLMV+MXkb5V5GPy8BN02NyH5ZNtPYZ2G1Asi81msFEUAy9dA1RzmLEKIkWFYAVXvnLOnfg8EAGMv6L7mLWCXWhwheeQ2KynRT/Imj2JOZ2B6QAEl5Sk4SwUZ2nJruH658HUqCouLICWCDemeLIGhWPIONIgAAcVJJREFUzgGUkgNst6EELKux0vkgryE0LuA9SwCvueaaPfnrZhWObcG2cvNEfoMhBUxX+ZpKCZjUt+EeQPXS+4hft42OBFAygaiACF6U91NaliVFwAy3FVRBKIBSP2UHAthDhEE8rACqkFBWERtia/QoyblxMpGluAUVBVAufRKR55lviuob3YRYHIIxpk8AafIDkgoSqliWoeMlky+u3umVLaumqjgq5XQ+bkqKxwgzAhipEECuxhbjT8RoP/Vzwk4riBPaiZNMMuWpKkSmdbIlC8eSMd5/5bSVoZH13/kIiyPtpAeshaoKoFUsQ9NxUSGyVH5N4jL5UlRDJWVNnmzDS8Aa4wXLI9A4AWxVAOvjT1zuym5TAKvL0FEUooesBDzScF65ZQVQAp3bzKmnHp5jCQJYLgHL1ZMGhdyX+jG3l5I4WDzIsghND6AxgcwkhuNPuhMfQqjbA1gqAevM4B3aRljqAdReQ9EEopwjKPVTUn+PlnoHKYswklVEjUzEKsIg5QDqbMMukBb1HiVBAENuYAGEAqgWAyPUGk6GIw3HJyTli2VP13Sz0y0hy5MjtOJwUG2osVXn3wK1PYB8qkpDzhl/Lc+eE2twIg0CWOPAtTWyCCsnYMQilqf1OuG4SPPbgJw9Rxl+rQYOgJ9TnhXznFIkEZ8a4frtkTjC/VpVAlZxAYsHtMI4Oo1SdszXUCQtnAy3nRNyhl5h2o+60YtVtIkA0lzdlv2gcnslAczPU6ulJJ/UhItHocjPa/o8PNdFROpa2cRBf284FpZliX7kofeL/WpSQ4nkelaCMCqaURIpi3C+wxDAGUQ5C5BImKr7tWoCBm1LlfiQCWSyZMBQyWvj26hR8Lr2IWr3AEpqJd0oeQagQi+lvNYqE4hSOZ2XX0XDPtMtAbvD5Tp+c9FQe8qzgL2cAHoKJWChvknEhxqzVXrOIMiRjwiDMEWcB0krE8AKJVPnJglUGzAcjfItSr2QBK4AKvVTDo/+8qJdAIDYW6SwBnEcCj2AGucE7WshjDr/PFRKp0B135mto0LKcTb5Q5U8NcJp60MEeLg4k/vOdHpsC2HUw1mEKiVgIh2sPFeZm4ta9sMSylUkT9FI1B9u6MGmTL7EuMeWMGpufhjuAaRYHqeF1DNOhEszjSUHb1MJWJ7lO9xP2e7gBYCUxkGWZxrn70+YBa+hBAzpOEXBZOGfeHyVIYCGAM4kymPYeAlYWQEk0iK7X7tFsFAPoK76VthGuQSsSkLLBFDTBSyTK7rB6JbCeRZhRRC00jYqyFcqBSCrlICpZFGlAKr1rVX0ADLGCWDbhT17kSiV8RKwRu4cANiOuNlORgm/oKqSN2EakEwgmgogJybSDYJu9irqXUHRrRir5ygpgBR3IZWA44wAJr5uDuAwAVTZD1GGlsfqifgUlXObl90j+VhS/546Aewh5m0VMgH02kwgkNyvVQoga58EUlB0ZQKooWSmVcQniWHnSmYrAYSY9iGXgPWCvalPuEi+qM3A8pqJU23+XZqISkELIefHoVS+pXicxGrOb5Vn+calcrqlEOECSNeikhorR7g0PnTL0UKlXEcK2TYl4DlGAK+44gqsXbsW/X4f69atw6233tr4+i9+8Ys44ogjMDo6iv322w9nnXUWnnjiiWlbT6+kOpHSoJx/R/EnU5jCIdS7fA2RnvoGSCpiWFbw1AhcuQ9Rl4S6tgW63tCx1CrfosZQ08kEIhEnzRxAmtPpFFQrRXWhtAah3knkw1fpARQKIJ0LIvJDYQ3yOqyMAKYh5aTplYA9KTaEYkxaR13l4KVPSU3l82+VypaCxFaFajeNuhKbyI+DRL58TgDHFNYgfZ7Sgwm/2WsogI6kQtLs2QF8pYcsIiZy5hofL6hRAq4ySA2Yp3SdqBztJ03aUe1lLEew8LKnwrlNBqQCAZSIrAoZ5lEyoaQ6aUTR0HfIrlEA23oyqQQ8lH8nHde270fdfGlOAFuIk2eLIOdYnqvMmFKIc/bv+XWg7GaWg6Sb+tglghmWZhpTn6lq7NVcxpwhgNdddx0uuOACvP/978emTZtw/PHH48QTT8SWLVsqX3/bbbfhjDPOwNlnn417770X//Zv/4Y777wT55xzzrStqdwDKErAej2A1S7gbjmAZGBQdSIDwwqerpO4rgSsehwsy5LU0GIJWLcHMEoYz4XSmotcMYWDkduSqRHAqpu1o1MClnMA6ZyQtqVCWuT9oM/B0smdk17nI8JEGPOpBao9hHL8CTfUJOoqCSBuxpa8//nNvmlQPYc8h7dirrKrUE63K9SWXpIRwNRTIIB0s7cY4lg+J3T6EIcfKsiUo2xOsinYW9woXe7gVT+WBTJdUMcVytDWsOrES9kq2yBCXwrVdlX79yCZoCpIKKDWWkBhz4lcRpay71pBbSJDCqBan6/LzQ9RcdKWRGTdFkWWHsLKIcw0pSW1mq/bsolDdpYjTWAhW1Nr0HrFzHL57xGc5nNCKscPzXaO9B425zLmDAG87LLLcPbZZ+Occ87BoYceio9//ONYvXo1rrzyysrX/+AHP8CBBx6Id7/73Vi7di1e9rKX4R3veAfuuuuuaVtT/Qg0PdJSFV2irQCSeqfpRC5sg0hkvi2VsV9AcRIIY0z7OABSKHb+3lhjDBxQiuXhKqJGJqKkMFAfJeV7hZanlOvIc+NYhQKoRN4oZ0yQNzmrq3XqA1C4WdN5aekYUUrbGESJ6PNRfr8wgfCSvM7kCQjiw8vpjHEiplsClrMhqUzmKhAft0Jt6SVZJiLrqfQAit8hjx9zmPpDgTwBQ8xVztYQwVdyyNPnLvdr8WxJHUONVWGQ0i1DS4QriTS2UTOOTqjC7WXoSuKTfzci5sBrKb8CQlWSy446mYrk8i24uiFU4TZ3Os8iRNFZTp9Hth/N2+DEaEgBzPvvrGYF0LEtHuQcyT2ABQdv20i7iqB3gD/wRi1RNNlrSI0tK4D5w2bLfswHzAkCGIYh7r77bqxfv77w8/Xr1+P73/9+5XuOPfZY/Pa3v8WGDRvAGMOjjz6Kr3zlK3j9619f+3uCIMCOHTsK/zVhqP9OUwEsEy9g6hEsXRTAPi8Bp4Vtjajuh0QUgzjVzgEEhku4Wupd6XcFQ3OR1YOgXStFSE+1Mblf1YgP7xlLK8qWGiVgWYUkt2HKLHiuwgWtEAOTbYOXUVVUSIBfnHuIMRmmIqxVxYUsrcGT1mDx8GO1NTh85mlOfOTypULPmRzBEhRKhtkNxuu174uY/SqmT3hpplpZCs5X+XgnleRLvQScOXDzh4L8nIg0Q7Xl0F1+Xqo8VBSCvak9Ii9DMwUnMoQ6VhiTKJlZ2gmg3B4hOeR5P6V6DyBqomhUHjbjigiVLlFPZeLjcgWweRueLx4SI+nBRt6P1pJ81XhBCBNIGwG0LIvPVS70dMrba8szdIfPB3kbEdzWcyLmZLxIpqm0rRw5NYcxJwjg448/jiRJsGLFisLPV6xYgUceeaTyPcceeyy++MUv4tRTT4Xv+1i5ciUWL16MT37yk7W/59JLL8X4+Dj/b/Xq1Y3rWtCrduAqx6dQ+TaUCGDHUXBDIcwdFcAoSfloO9VeRnk+7GSYaPcQArKJo0TeOvQRBkmxlK1TAgakeaXcuapIAHl8ikQANW5QYhZwhEF+cZcjDTwVUi9NwOA9gDplaKCg4E1GiSgvKfcQCgJJbQFChVQjkY5U6gritKAc6ZaAeTSQZKjxFMiX36NpA1GmIjLG+wFbx58B2QSMvJyWyq5Zpm7qkUt+9FBA/WeRpUfoZUON10UBlErAkaYRparvjGbohpbCqEXJWCQrgJ4GkRVuaDlSR876VFEyqQQsh2rTA5b6uMdCrA+gPO/bkzIXowojSgCvVTnjIeulMjTF47CWEjAgqW+yqzsVcSxtLnsqEVtpTQmYtZSAIfdjFhVAXm1QiFma65gTBJBQLndQaHAVfvKTn+Dd7343PvCBD+Duu+/G9ddfjwceeADnnntu7fYvvvhibN++nf/34IMPNq5nxMuegiZKDlxVBZCPUIuHFUDlGBhPlJHTlHVSAEelPsKBpEaq7ofr2PzpeRAnkhta34lMx0I3BsayrCESqXUspaf3hGIF8huUSsArIG6mckYX3aDUmu2JOAnSEucNzq09MXwbcg5gdiyFU1KvBOwjxkQY85u2NoEs9CFS9p3qsZS2EaUFdUGnFF4oAUs3fpVtEAHkn0ch+kRBAYQgHUnYjXzRa2TyRb1zsSoBpHNbIl8e76dUUVMlU0+uzNN3ZAAFBy/EcZBJB+PzoRVK2ZKhRla+KA7FUSkB8+kyw1E0oWopm4wkUt+ZTqg2zfK1S+SLT/tRLAEDpSiaggKoVk4v99/Rw6ZK6TTh4+SGeyFD5rTPDKd4IxYD0thPWQFsu95xNTYuEkD+kKGaWjCHMSeK4MuWLYPjOENq37Zt24ZUQcKll16K4447Du9973sBAIcffjgWLFiA448/Hn/7t3+L/fbbb+g9vV6PzzFWARGn3UH25dXN4CPyFiUMcZLCdWxtA4Zcph3ESScFUC5lk5JoWZoEznUQJXFRAdR4f50CqEqEgeyYDaKU/36tbTguEjhwkCDOy1si30uxbFke05QmcJAdTx0FsC/1zpEaGcHFQhUyzJUS8Tk4OplvQMFBO4gSWPkFVp1AitmxvAytOOxebIJUyCRX3ygyxIXvKVzWJNLCS8Ayieypk68eIuyME8ASzk+lMjRy5SuZLNykiACquLpt6aGAj9XTnO1s8bJjTkIlJdRVOA7cnCT1phaiaJS+X+QCHiaASt+vGkON8jxiQBCCZJgABkxtP3igdaEEnCtOSq5u0dogg0/7aZtQI5HMqMKJPFCJ1OGl8OIa0ohMIO3fL4pYKUbqKEa4oGR2SSOAzoFE9AC2leQFGS9nCRoFkDAnFEDf97Fu3Tps3Lix8PONGzfi2GOPrXzPxMQEbLu4+w6fOMGq3qKN0VJ8iq7y1S+Qt6JqpW4kqS6/dg2CHuR9gCNecxZUGX2uIqbQnYgCiHIxHUPdErC8DV6mym+YqmPxkpJaY8UavT0QzlJOAKWypcoc30IZOi9ryARQCRXqm6MTn1LaxmSYcNVG+f1S3xqpb7p9iJakZA6itKjUaE12iSQFUNyseirEJ1eVPCtBMAiKjfYqkTwQ544cgMxHqGnF2SRD8USx7mxn2v80lqZ4qBBAQeh5GTrIjCgBfNgKDyY8Q7JiookOAQSkFg3G4NOxVNgPGtVYiB7RDHtP6POU3cOKI9iy15SuETmIkLc6kW2bT+Eo5N9FgpC3te5YbnUJOOFzfNuvNRHvhZQJoOTgbbluF64lhT5CsQ3VHsDybGd+nhsCODcIIABceOGF+OxnP4urr74aP/3pT/Hnf/7n2LJlCy/pXnzxxTjjjDP4608++WR87Wtfw5VXXolf/epX+N73vod3v/vdeMlLXoJVq1ZNy5pG/bwEPDQBQ4349Fyb961NhgmSlCFvv1NWvmxblD4no6STAUPuIxxolrEJchYgzwHUUSHdYjlcNwcQGHZl66qICY/LyBv9qblbsfdN7teKk1LJUKFEJffY8fmiuqGmhRzAvATMozL0evh8xJiMUl6+VTEtZC8cdlTbGhMbsm2USrh8/JlaqY6TFqkXkm4uKbPQU3B8whNl3iiY4DfZLH9P7ZwSBgwppoPUNyXyJfoxhTs9W0eiGanDQ8mlG66vUQKWg71JhYwU50Pz8muF+qYUDSQbaoj4JBHsPHZEhQCiag1S7pxaL+OwoUYn6qkq1gcQYeMq035CTnzqegCbr90isL6kAMbqBLAy2Dv/foUKDl5bJmeyEqlRAhbX6/I0ElIATQl4TpSAAeDUU0/FE088gUsuuQRbt27FYYcdhg0bNmDNmjUAgK1btxYyAc8880zs3LkTn/rUp/Ce97wHixcvxqte9Sp89KMfnbY11SmAquYJy7LQd52MeEVJIQ5GR/ka8R0EcZr18E1FAQwTvi+qDuDyNoIokSaB6Kt3vASc6sXAAMO5jLrldLq4U7YVd/cpltrcXkYYevmN0qXpF8wqDlCvg3TBSuPsJs+JoGqkgRTiTFMbXD7+TLUETKXoEJNRwnsIlRQroEAguQJIKqLyGkpKJpWAVcmXrCBSrmMSwEJ2c+mpRBy5PaSwYIMhnNwF9LLjqExCAf6Z8r6kRFN9KyihuQLY2ZyUPZi40k1bpRRezAHMzUl5+TFU7kOsUJ108iVtl38WvOwomVr8ngKR5fOlh1VIpSxCVDuqxcONSkmfoqJKCiCLAUvtISszYAx4fzCAwn60PXhbbsVxgMhoZEo9gGTqGXYBR3Bbe7d9z0PMbLhWsb+Xb4OpE0BW6gEkY4llXMBzhwACwHnnnYfzzjuv8t+uvfbaoZ+df/75OP/882dsPSPlHsAOpc++Z0+dAHoOnkaEybBbBIscJTOpSWKrttGlDD2sAOr3ANJxH+oBVDwWorwzANKEX9hVo0vc3gIAGXEKohSjhZuLApG1LCS2DycNeQahmM+pqgBKESw5mdaK/AAEAUSIyTAW83MV+96q1sBnnaqUwqVtcOLDspLjgCkSQP5+oYpHYQgfmUKh9B21LAToYQQDxMEEQEq/ovEhW0ep/CqTFk0zy9Nk0MoVwNRR+zxlR/UgTrFQyr7zffXw4mojiqoCSCrksAM3UdkPy0JiubBZJAwYBWe4igmklC0pbUMpigYix9KSFV2mrpDzqCgpKQBpAsciJVNFAfQBJpXCkRFyB2q9jJwASq7dbBk6CmBVDyA5eN3Wa67v2gjhwUVQIoDqPYBitF/1PGHl4Ps5jDlTAt4bQQoglYBJPRtVDFAGiv13XC2x1N2v5W10UgAlJZNnAGrsg/z7CiXgqSiA1L+nYwIpKYBURlZWAOlGFA8KNxemqHyRAthHmKmP+YVNuVEeQg2hMjSfa6k61kiOP4mLBFBZwcvL1X3kCmAeWqukWAEl00CxDK28Bil8OIuByW64k1DLnas6DhSbEcFRPjeDXOGKBruBWC/7DoAUeDtcftWNs+EGLZ3cOQjVyadg71AKYNYwcHhWgijOSAOdn5GiCsnVN4l86QaUE9kUMU1kDPKUIpIqS5+8t9RVygvlZUV5RKHGWD2RFCCRL9mcpEAi4zyCJZVMILE0VaVVAayJomFkrlHonUuqxslxE4jTel75jo0ITuF9AKQg6PZt8MrM0Fg9KskbAmgI4AxiQd4DSMRvMsq+1DoEsC+RL9lFrGXAyMnTriDigbVaPYCSAYOHWWuomMVtdDOBlBVA3VFw2e+jHsBuTmLq9bPiyUL/nvIEjJw4jSAoxIZkcy31CCAPMyWVRLUEXBF/QqYDpXIfICaS5Kqyy12rigqgXAKOyIncjYT2yMQh9d8pka+KOJyAR+q4yt8PKnEm4URh/Jl6CbgYwUKKScos+CpGEleQL7o+0Hml4joFJEONlamp5B5V7XuTlRQ6Lxk3cOiFg8ukQ5cActUpJ4C6s7otXoaeQgmYrhGSkqsT9k5GMXm8oGxiUOkBjCrCqBMNV7ZNUTSlMnSaK4I6PYCspp+yTb3LFEC38D75zyo9gLx3tKQA8hKwMYEYAjiTIJVsIsy+OEQE9UqflH+XdlLO5HU8PSGNrOowC1guAesrgLIRRb8HUB4nBwjy5mr0ANLvC4eCoNW2wdyMdFjRJL+oxMwuNiw3wRXKWRjHhfKSMpGli1p+cyPCoKwASmoPEWEeO6LSJwUIBdAKMYgS7iJWJpCVKqT6DN7shdnvGkGAQZQiDeUSsE4gdiIpgMJRrfqARQpXEkgKoIYJhMiXneYPA6HmQwGfDy2ILHenKwdzywpgijAgAqjYyygRTTofGbnUlZ3I2echmx9sTSLLm/7pu6kZRi0y+IZNB9pkWFYAKddR4dymMrGHSMwslzIiVeZ9kxIqlz4Tfl55rRl8Nv8sqhVAS4EAVgV7UxC0CnnzXVskG9SVgFs+D1ZhyAGkdhPVfuM5DEMAZxC8BJwTv4kuJeAaBVAHROCeKhBAHROJIG80Dq7rGgLJSazjAp6qg7ewjS5B0BAE0E4mUYiHUD2WOXFyLJapTdyZp9gDCEkNSXICGKmNZ+IgF7DkfvW5w1BVwaMewAgTYcyz1nxNAkg5goBMAPXL0EGc8Pm3yupbxSQQGhmlTKYBRFa23jSYFAoga3daEig70UpCMMY4aVEmHJKSSQ+YZE5SD+YWWYKDKOHHQTX7rqgAdhuTCD4DV1yj+H4oqsLl3Lc40Msi5LO6qxRA1Ye0ilFunsY8YtGPGXOjG83TjVh7fAoAxPbwBAwqyauYcmhKR1kB5L1zGgSwTr1rI6G+ayNkFXmEBQWw+ZpZVY4HxOdrCKAhgDOKkRIBpJudjoO2UH7tqAASWds+kd+oHVspm6v8/kIPoHYMjNiGUAB1zDA1PYAd5gmXS8DK2yACF0+iGKugeCylG0A0mCj1F6mSUCpD52UuUnuUewCHS580vkxpggYglV+zHkCPz89VJZDDKmRnAmhlBC7WnDxRXAOZQPJyuoY3LnKoBLwbiAQJVTVJyf13YZLy6Q3qeYYig4+uL0ScWAcFMIgTxHwCh6ISalnihk+qHXciq52XXAmVSIfDTVZq+8F4CHOuikuzhFUesGyHHLgVJhDVMjLtB5EOOVRb4dyuHu0nlGnPbl+DcOAKAkglYJWSPI+iKRFARqYQZ2oEMOsBbCkBOy0KIGvvAaSHZbkcD4iHDEcl6mmOwxDAGUS5B5CIoE75lI+Di5JOvXPy73t6MjvxdZQ3QFLv4hSTeTm7qwt4EHc0gZQUQKHe6ZSARRB0l0xF5OO93GSg3RsEAHB8JPlXLg4mtENmgeHQXt4zpvBUnq2BcgCz84klEXcY+n1NBdAKMREm/AbXUyWADgVBJwjz6QKUc6ZMAKVy+iCSFECmqKYWeiFzBZATH/UbQ2zn+xxN8pusTg+gLY+0i9NCsLcS+aJjiZgbvOzclKOscBQc1alQQqF+HFh5igadn4pOSzIecPUtibMxYFBXMhOnOPorDsV3tHX0GETps6B8SQHjKtcrKmXzTEWJvKj0t3o02s8SY/Xkc0LlwZ3K7nLpM+Xh4O2fB00bKRhRAE6+VHrnUqvKBJLnACpEuBRKwJVB0O3bqCrHgzFObJVjr+YwDAGcQYyWewA7qGeye1Y3R5Awkr+eegC7EkhAlJG7K4AdTSClHsA4nUIJOE6KA+MVSaSVB/86iSjfDlh7T43YgIUsaASIg9088iNgvnoZmUpMpAAmVALW7QHMCIc8L7SnSwAR4qmJEL2cvPVGVAmgWCsFWXv5zUYprw0A+Bi2EEGc8skTkd1TI06u5ETOv1c0uD7RyAejiBIWTnASmmURqp3bggBmJfmEO5H1Pk/XShGEeamxa6ailamIdBwiDSI8VG6jm7ZqGHU+fYKrTpJqo1oCZrwHMP8ceRahogrJlS+J+OgqgPlaeZRMYT60egyMrADGkgKogioFUGesHpWAHRYXpmIxnp/X/pkS8S9kCWqQt55rI+Qu4G5B0IyX46X3pwmsPBzcNgqgIYAzCZ4DSC5g3gOoXmLqT9E9C8g9gGG+TU31Tvp9T+3Ot6FpAhkpKIA0EUXHBCKUUKDbJBA5BiaUCKCqWmPlCqCXlhVAdRWSenDSsFgC9hRL8ja/wQRgjPEnbNVSGylnPStGFIYIcuIEaBBATxDAJ3eFvIew1xttepe0Btk0MECaMqkPUU8B7FkxwijiJhBV00GBhJKRJidfymQaQEJl1mgSCZWhNWJgrFJJno/403R1A0CYk3n9yS5ymLQgocp9pYAIOc6PJZ+2oOoCztfqVIxJtBUnzPDfRc54mkYC1YkoufJVMIHIBLD9O8r7CKmMLClgSue2NKOaHlITbvRS+zyIfDHJBaxFAD3xQCBfJ8nEYSmUgPlnIWcqavTvUQ6g/D75z1mPbPM2eKyPXAKWzTmqk4vmMAwBnEEQ0QvzKRxxXnPs0gMoK4C6JVzeA0glYM0eQnmc3JM5idRXALP37xrEnaJo6kKcdXIA5RgYCpIGoNRXAwB2JQFUz/ADgJC7RkXJUNWlCIibuo8IccrAaHyZKgH0BUmz4kmEg5xwMBu+yjQSoFB+nQgj9Kx8Tqlmhh+QlanCJBUkUpOEAlk5PeWuU70swmwNFKmTk2kN4pM6+XrjSa4AhpYPR7XHtqC+pTzyQ5W0VI1A403u2rOdMwWQTAfK5xSG+61435WiCumWnafSXGWlKTmQZvnS55h/v1TH0VFJsDCHl6KaFIOgeY4fER+u8rtKWYTCkCPIV6I575tIXiGCRWOqiuvJJFQogFai3gNYOdpPQwH0HRsRq+8BjOG0P/xzh738fv0Hi7kMQwBnELLb98nd4iTU6QGk106lB7A/pADqvV9eB5WAtV3AfpGE6m6jV1IAww4xMLIJhC5srm0pG2KcHhHAoFP/HgBEkgIYS4G76iXDYu8bVwCVS8CCFFjxoBD5oZwtSWqNxTAK6elaNVhVMg2wKMQgjOGDSsB6CiCQ3ejT3ICRqGYyysQkztRUKn2qjvYDhNHCjif1w4+ldXAFkI/2U/w8pd5PKhU63HWqF6nTz8vpFIitnOEHDOX48Ru/YgmY3K+cfPHZzhpTVUp9iKlmTycpXzSLOXuzbPZSKQHnRjFeAtbrIZRbE8L8WsfPCUUCmPJpJNJ3k1zZmgRQnj4F7p5tP55kyLEqy7ft5K02BoaCoFm7S55K+sVYH/Fn5QfeOQxDAGcQPdcGcYsnduVBt7alVTLkAchSCLO2iaOUA6irAAJSGXl3RwXQLRpRAF31rmaMW8dtdHm/49Ms30Cod8zTIqFRrlCl0WQhm0vZNODL8SepeMpXzSK0LKQUZxNPIiICqFH2lMnXGCaknyuSN4ATgzQOEIQh7NyIomwCsW2RdxZNgOWfh+r4M9gOmJUdczKCJF2UL+lY8vFnWgSw+HnSnOlYdQ2WxRv7ycTCZzsrh2oLU09mqMmdvBrHQYwPi8AYEyVgRULOyVepBKyjjvMHEJqEwo0PmgRQUgCZ5jqIyHqsTAAVTAvZBvgfifjxnkbF7yirCkCmnmGFz4PMMGUCaLHcZa5yramY7FKY46swCq6KANIDr4qKaFcqgPn0JVVFdo7DEMAZhGVZvAz8+O7sCziqO8VDzgGkMW4dewB3DsjBOwUFsCsBzN+/IyeA+lE0pR7AKY6C4/EjGuTN6WezfEcQFNQ7nTVwchBO8BtUCPWSISkMI1aQEUCae6rhaJPzDCM+/UKHAPbAkK13zNotfq4xW1PcpEJehs62ob4fMY3FCwc8hFk5/Fj6XTROjocY6xBAjwjggE8jUc6+A6TpMBn54iHGGoQ8pbaCnIDqBA/La+gjxEBSIfUIoGReSFLtcVte2YDRpcWiNFdZZGQqqpCS8kVINaeJ0EOiz8gFLBRAJaOX9D0mJZbnGir3AA7Hn1g6odo8p7NolrN0FEBHPBCIhYkgaJUYmCoTCJN6ANs+D5HrWN2HqHPdnqswR2CGQcSJFMCu5onCBI2OMS6EqSiAO4OcROpOAsl/J5Whu2YZDimALY3AMmQXMMXJ6JBhr5cRwD5C3vCvWwKOyTUaTfImdZVoBrGI0XwNWWivGPulTnxYvg03nkSc963pOD5hWVztIwUwgpv9XBV8ZNYAgTSzVIfIptTvF4kQZt6Tp7QGeSKJIF9MZ0QUd4ZPguUEMFZVIQHAzx8qOKEnN7P6Nqisx6IBkKa8hNktUicVpXANQi8IYKYacdVF8fPkyhlNwJCm5KgrgMWyI6l3qq5uGrNGkUSANE5OMQja5QpgcQ2DDqHacYkAqppyhiJ5II/VU/h+SEHtgawA5gTOVjkvKNi7xsDhtvRd15lA+OQjhVnA1APrVJSAI7ja99G5CHMEZhgLcqL0JCmA2iPUhAuYJmjoKoBlstZJASy9p69J4IbK0Jpfvp5bVAD5FAvFiQtAsQdQTFVRXweZQEasAHFEBFAjBxBSbEg0ydUFHdepmMMbIohSEQejk2lFBDAdcJVBtVGeQGaU8VwBDDXfT6qTz0JMTOQOXtiArf55CuIzKRQO1bInhEuQIlhYBwWwEA3ESai+AtjPP08W6hNAXvaOJgtN7sqzmSlSJ4/EoQcTHUXXksLBMwKY9wIq9iES+aJAbETiAUvZIFWawqE7j9j1iLwJBZBJPXwqrTvUJ0wKYCJlESoRQNvhWaHUkpDoloDLWYTyn5UUQDEtqKAA5iVgR0EBtKoUQCkIWqkEXGECSWPZSNLiAuZxNsPB3sol+TkOcwRmGCN5CZgUQN3SaWESyGwqgCUSqT8LuLyG7kQYEJmKOoRaDoLmmYo668hv9iMIxYWdeVokkgigFQ+4uqCnAMoN+wmsfCSc5aorXxbvIwwwmMzLljokFJAUwIwA6pQsAbmUHWL37mwbWmVogPcyIp6ElZeAdY6DHKIcxIIAahGf/Fi6kjNcuQ8R4OfUKIJMleZGEg1FV4qikfu+lGczl0K1qXSqRwDp4SjMS8B647ZorUTGdfP3AMAiQw5NEIn1HPJOLy8ZWgzIHa9EIlPbV2rdoXna5GrXnUcMiO8BmXqYdg8gqeuC+GiN1XOqewBtrgCq9wBWGTBUyFuvEAQt9QAmwhHd1jbjlo1FpTX0Ogghcw2GAM4wiKA8TgSwswIolS079gASdMmXvI66beqvoZsCSMeAwrV1jqe8DT6WT+fz4P1agfRkr+juy0HkwIomeMlRSzFyRQ/gIEphxxoX9hxWXnYcRYDBZK6+6Sp4blEB1H0/ZSqOIMAEX4MeAeRj8aIB7JwIQ+M4yCXgQZRIhhr1fbH5dJiAq5B6BFDq6ZQUQOU4G0gEMA4KaklPUwGkEnCa6PXvZdsQ340wToUTWbE1gcKHPStGkCSQczbVp6pQBEuuBvNxdHp9iIAgGtAtI/eoRSNEmrJC1JOq+Y++B1T65QRQcdoPn0aSDhNANQVQKOOyAkiTWVQClMlsUpiqotF/5zsOwkoTiCD1bYScR/JUrCFkLnzF+K+5DHMEZhhEAJ/IS8Bd8/OyHMBuCuCyRcULoG4QNAAsW1jeRrf9IOjM8JV/H6mgIlRbvwQcyiVgLQUwV0qskPdqZXNf1bdBqpWVCAVQJ3ZElAyzvjU+9kuLAAolMwjUZ4RWrYN6AHXfb0nmByoB6yqAnPgkg6wEC6FEKaFkAqEbrQ7xsXPFx2MDrkLq9GPKJpBMAZzQ3obF+yknpd45FyM9xTxDV5C3QRTzbVgaRFjejyhJuRNZNYrG4q0NUVEBZB56qgpgOYIl0SSAkmmG5u+K+BS1z4MIYC83w5ACGMJTNnrRwxSV4omQq0c95UqmVAJ2UnpQVOkBFOMiiy7gvLdUoQRModpV/Xchc1unJ2U9gBUxMBptGg4v6ddMEtHoH5+rMARwhjHKewDDwt9VUTCBdJihCwD7Ly5+6btI3wfsU7yx6hPAkgLY8f1hkiJNGSY6lYDlHsAOkTqeUK1SWQHU2IbIjRMlwy6uUYoNIeJjq6o9KDqJwwERwI4lYCsjLFokFhBmFivAJCmAmmugY+nEk/xmp3Mc6EbXy8k03RyUSly0CXJ9poFotNcigKQYZSYQKgEzlRs134ZoKxCN9p76w6aU6xhFQSciLH+egaQAKpehJVU6TNKiC1gzIkmEMOc3fsXP0/N6SFhGCsJ8Qo6lqdJ7+QMB76fkUU9qJWRgWAGE9rSf4fw7QQBVSsBEAIuTQMih7SicF/TwUG3AcJQmgYgYGMmUk2+PKaih5IKvLQF3aIWaazBHYIYxWuoB7Eqcgkg2LuhtY1Hfw6K++MLoGjgA4IB9ijck3VL2ol7x4qW7BvnLGsQpJkIq4apPbZAVwC5zmWWVg3qDAuZpqYicACYD8TSrVQLO3p+VgBOudjg6xMcTZaoo7BBdAkgK4O78/d0UxD5CDIiEapehc8UnGfCyn6VzHNxiD6Awkqhvw82jgXwmVEjo9CFKvZCDKIFFBFCnp9MTx0FucldW+guh2gNeCleeJQwUvhthlPCbrqd6LHMC2LMiBEHYqQdQZPAVI1hUH056noNJZPscDYgA6pX1PWmWdTiYkMKo1c9tehAiBZA+D1UCSOMFZfMDkWJHSQGkcnyCMBKGGDs3gahMZuFl6Ar1LVYpARdMIFKeocaIQVdylpffHxoCCMAQwBnHCO8B7OYCpvdPRQEEiipgNwWwRAA1tzE24hb2XXcN8j7vDkVzss465CBobgLRIoCi0V12KeqpiPnNOh7wCxvTKrVRiSlTAF1eAtYngKMIeA6gTuQHgCEFMNQs34qyo0wANY0kPmXwBfw4OP5o01uKyG+UVHZ0ktxIorENJ48G6rFA9Fnp9CF6IlsyI6F5JI5GKZsIoJ0EheBi5e+GlOuYhhOwYs1JItJ6RxAgikLYyGd19/UUQACIg12dFEBR8gsLYdSqPZ2uY2OQj+CLguzBRsSnKJaype9hFAqnf6TxgESlXvosded9k/Oal8LTlBNypVYReU52JEiko+MC5jORq8mX0ii4XAFkkgmEFDylEjB3lmfh5Nn7hYlEKZdxjsMcgRnGaCm/rqt5YjIULuAuMS4ygetCIMslYN39sCwL+42Li4/uGlzHhpv30Dw9IS4IXUrAchC0Vj+kdHG3gx0Asib1Lk5iJx3ohbPy91PDfpQTwOxYuD19AjhiiYkmaWcFMCOAE4nmOSmbH3gZulsfoZdOSuHHGgSwEKqd8DKyTh+hnyuAPQRweR+ivgJIJX27AwmVS59UugyZp/6QZVlc4WLxAOBqUYceQCvk0UIA4KlmETo+4jz4N57cKfUAqptAHKn/LohTQRY0Hm6CnAAmgwmAMW4uUjb2OF4WZwQgGuwGC7sogBSSnh9HDdULkPPvir2QgGKLRMU0EgBwKF9S4bygaSKuFKkjB0GrxMBQD2AqTzQhUq9QhvYpagqRmGks9SH2NCLE5ioMAZxhjJYasXVKloA0AzdOeA7gbCiA+y4sEoQua1i1eGokVMw0zjPGLL3tyC5gMpHoKYBi/U7wdLYtTQWQyIGbDIRCodMzJo8OixI+csrTIoBiG5Q1pqVCAkMu4IGuAiitgauQmj2ApHouSHdKy9IggH5RfXM79FNSCXiEBaLPSqscTz1jMaIwyJRh6JFIRxoPuHs3KbKu1kNayh3VkzxI2dVSMmkNYkoOAPiq56VlYYDs96XB7k6TQLzSmERLx/maY5DP6o6DXUAaw2LZg6LOQ1qYk8g4nEQa60c9JTZlhRIB1IuzIUMN732LRNC6o0LIC2HU+fWBMVECVlIAKYOvwoDBHHgthpieayPIrymppADy2cIKPYAej+QRbmYik0YBzGCOwAyjrFB1VQAZE6PcusS47C8pgF16AG3bKjyJ64xxI6walwlglyia7PdzQ43mWD2/wgSi9XnYDp+Y4YXbs20xT2tfOAFMpZJhF7dl3mxPgbNuT4f4SGaWqMMaAK5EPmtBdkF+9solmu+XSoY08UBzDUTUFqU7+M/0jkNG3hbkBNDL+wgdjW30RhZmv9dKYSO7yWhlEUpqYxJM8l5GWyqJtoFUz74VYvekKMnrzBxnUpi0zRXALiVgkZEZMxsjffXPdJATn2Qgl4A1FEBfBFqHccqnUOiYWQIr20YcTBSIk46xh1TEOJgUWZ8aCmBSnuXLFUDdmcZhYTsxs+GrjAe0HaSkYuYl4Chh8JBdMz2F88Jxq+Yqix5AlRIwEUBOhAEgVVd1RbZkxFuG4lC4gE0PoCGAM44FJQWw6yQQQJQ+u8S47L9Y3Gi6BmAuW6BJEkrYb7FUAu6wD0S06Dhoq6lyEDSpqZrHIsxvEH6UE0DoBUFTac9LB3rhrASvpADmDc6+DvGhHkArkGYJa6xBev3CdBcAYJ9FC/XeL8XZxLkCqFriIhDxGUO2hoB56OucE3wM2yBXU7N1uBrky69QHG0dNVbqv2PRbq5C6pBQu0IBjK32nDQZPFMxDvj0Bld1ljBQMIGQqhxCzyBF36007KYAWrw/NnN1037oEMDQkuYqy6VHDaMWPSQmwaQ0jUT9/TxyhkrA5KRVdDOTKu1RCbhDPyWNnYtpXnmSwrVyBdBvP56chCIB0lxFlXsAW9Zh2xY3hckEkE8WUSCAtAbHYghy4ifOTVc7imwuwhyBGcYBpQgWXfesJ/e+TeZj1GZBAQSApQs1+8RKKCqAHQggVwCz46BLpul3xinD7oBKwHrroAkNPYkA6nweVK7zWCiCWnWCg91iD2AvVwA9ndKn7GbuUCaT14G8F1KbQEpKZsKdlpoEMN/nxVIZWs/Vnb1fKIC5oUbjWPZ6o0iZIFops/RKp5YlZgdHk5IKqU5CqS2gh5BH6mhPdqEomWSSR3d4HZzlI1bA3ataTmQAgZ39PiabQLRmAWfncJ+Po8sVQC3ylp2DaTAB5IacAfPga5xXRCLjUMyoTjTObSKL1CPMR9spboMeSqg6QER2AF/5upvwKJqctMVpRuYAeApB0IURgKTaxaS+tcfAAOI4EIkGRAlYKaNSuqaFed5pLJWA3Q5VrLkGQwBnGAcuK17IdUvA8nvIyNRNAZQMDBrKgIxyGLQuij2A+seB3vPURLdMRflGsiMn07qfR0wX59zlGMDXUjPtnogN4TcorVKblDMWhuhb+UNBv0sMTMAniag0VVetg6Pj+0cQSmVoPRLq5grgPsh6AAfw9RRdf2G+hkwB5GRaQ33zXBuTEPue9YTqKdOJkxOfcIJHmLgjGgSQjEFWxB3VWuMFs18IIHOn8ww/BaVHrGG4rzSCq9VjGxEBDHcVYmDUCaAUJi0RQJ1Sdkj9d+FEcQ0ac2M5iZRURJ1pP9RvSAYUrnqpTiORjEkAOJHVUgDz30UmEJkAquQAFowiRGDlUXAKUzhEKVwQQH7NdBW+Y9Ix50azvD0h0VTI5yoMAZxhHLDPSOFJQ5e0AEC/9J4u5Ekmb09KLlodPGuJhspUgUIJuJMJJHvPU7upBNw9SmbHIMq3qUkAnSLxyWYBq2/DzVUVn4XcNKAzxUMmXvHkdv5nf0SjBCuVgGlmqdWxBFz7d8U19CHWoGtEodLnYisrAQ+YpiPbF8chiFN+wyRnrwosy8IA4kYz0OhZIyQ0HSaeRC9XAD0tBZBU4RCDQcfJLHn/nJ0OeOCvsoMXKPR0ymMSdb4bIX23wolOZUsiwj0rI4AOLwGrky8awZcW1qD3mcaFMnLe3qCh8vNxkTl5pHxJ1T5Euhb0EWblV3mqiuJ+UBRNUqEAqhgwCqS71MuYWq5SDzknzVIpnqaR2CrXCsdFQr2MlHagG6o9x2EI4AzDc2yslohTmcypoKz4demfsyyLh0EftWYf7fcDwJ/93sF4/n5jeP/rDu30frkELCfMq6I/RQXQdWzQdWf7JBFAzZt16UIeaJRVACmqggV8XJZWD6BkMEh2Pcn/3B/Rd56OIIRvZRdUnZukvA0ObROJiA3x83gJbRUxPxaL8x7ASfT0Ps+SCaRPypcOmQYQWEUCqPtwQ6HPdjwpSKjOGiQCSJNddCezWFI4OI3O8rVUZfF5hnlPZ8hcrYe0yMnWYIW7C3mGyuqbfBwkAqjzgMVnMEeifDtg6mHU2TZyBTASCqBO2DuRRVIAKZ4oVfyO9kelh4d4shORTXOSR+p8mCRaBNB1XIQs/+zpGOQKoOrDCSsTQMbEZBHF6w1lCYZBfgzz/dFukZij0KtVGHTCgUtH8cDjWZ/SaIcS8IJSY7uWyiHhtve9Co/tCvDsfTUb9nMsWeBjw58d3+m9QFGxe2JX0PDKahDxpRiYEc1SG5Cpp5NRwgmgbgk4KSuAll55yM2VnT4C7tLT6hmzbSSWB4dFSCefApD1nfkdHJt9BOihAwkFKhTAbgSyjxC+pa/UZNvI886srBw/0FScRAjzABNhjB6yz0NHAQSAQFYANVQWAs2H9qMdcHInsa9VApZMIEE3AkiGmh4ieDkh72kpgCIGhlTIzASifiz4dyuaAGMDWMhzADUJIJlAHP790sjg43mIRQWwCwFk0SQsPh2mewlYKIBqhLzXF9f3eLAbrkSmVatH5DimOcRhzAQBVDCjeI6VEU4IAipCtdXIFymAFjfDiExB1baZyPLQZyGfySwUwKm1M80VGAVwD0DuA9QtWwLAvotKGXwdFEAAGB/1cNDybuRvukFRLjrgCmDHucqAVEbOSaSuCzgtER/m9LR6Sag/ZwSCANs6N1qIG6U1eBpApjpZCj01YhGy+pYHKOsQSGkbHNrkTZQMSQHUadaXt0EI4OsRwJz0LLAC7JyYhJe7HPuaCmBoT60ETErmaPy0WFq/gwJohTyDT9dQQyXgPkJOAH3VKR5AIQYmGGRriODC1SFObrYNO9rNnZ+degCtCGGU8FK2jgLI3bpS+XagswZpGywKtCeJABD9mHmLCE25UW3TGOl5GLCMZAUDEWejo05TiVSYQBL+/VDpRfSkGBce3syneCgqgORMJ6NaIu4ZKtNIACDmk13y7wWN3zQlYABzjABeccUVWLt2Lfr9PtatW4dbb7218fVBEOD9738/1qxZg16vh+c85zm4+uqrp31dz5YIYBfSsnKs+MV/JucXvXD/cQDAyUes0n6vUAC7E8DxkeyLT7lQumpqWnoK1+2dq4wN0XFbQpSCKIw61C1n5KXPUQwkAjhFBVCXvEmkhauQXZ3IOQbM71QCHkGAwcQu/uOejvoG8PUDwGNssX6PLgVaJ1lPZ8QcjIzokC+hfBEB1O2ntFxZkSVCrm8C8awEaZCZcnSy7wAgIQIYT3Dnp1ZJXTp/olCeDqMRwSL1YxZKpxqZigkvXU6KLEKtPt9c2U6KBFC1z7bnipF2wcSuTj2ARJDIuRtGUqCz3X5+u44lCCCfaKKnANL+2hUEUKkHEFKcDX0vYs01zHHMmRLwddddhwsuuABXXHEFjjvuOHz605/GiSeeiJ/85Cd41rOeVfmet7zlLXj00Ufxz//8zzjooIOwbds2xHFc+dqpQFYAu4xxWymNUPNd+xntXvqXPzkaP390J178LP0+RNEDmJdvp0AACbrbGCrDaJIWr6K8qBKsKoOaxP1wO+CIyQPqixA3+15eftUlodNlApEVQK3Zs8CQCjmJnuZYPuoBHGQ3SgAJs7TV0F32GPLKLT4a/xEu0lXoKY4mzgjgJHy91gSJvMUdHdX8nLCEAqgXUC4ebOxBth+xpsqS5gTQiSfAUsrP89VD56XzIQkmxZQcDfJF3y077t4DKCZ5BN2yPmmSR0kBZIojCoUxaTfCQqi2upJJDxA0OYMClAEoloBthMwFLHACKqZ4KJ5XDpXCSUEU92ZbsV84tn0gFe5fZhTAAuYMAbzssstw9tln45xzzgEAfPzjH8e3v/1tXHnllbj00kuHXn/99dfj5ptvxq9+9SssWZJNMTjwwANnZG1rlkyNAK6QFMBnsvoHAIv6Htat0ZwakaOs7nRRAMdKBFA7Uke6yTzOxhB7i7Te3uv1ETMbrpUxhkAzYwwQKuTCdCfgiNgJZVBgrhVjlGJHtMlX6Ya27Lma7xdB0B70S3UAhhVA3R5AHgQdIBhkPbqB5WNU8wHr3xe+GY8+4eGj8f/Az9lq7e+olRuDRuOM0A/QwyKtXkZR+mR8tF9HRRayKUdjG46HFA5sJHDCLBtSt9E+pTnZ8SRApEdnDbaLFDZspIjDCX5eKY0/ozVwBXDQ2QUs3KsDMR5QYz/EtKCcwLKg8HMVkDEpGuwuxNkoq9M5yaPw5kgOxVYuARdjXESIs9qxoOqKzSIgTbgCGDIHnuJ+RLaUyQixP9qjL+contlsIkcYhrj77ruxfv36ws/Xr1+P73//+5Xv+eY3v4mjjjoKH/vYx7D//vvj4IMPxkUXXYTJycnK108F++8zgoOWL8Szly3APqP6J55MALsQyLmCcr9el0zFsgKoWwKmSR4A8K3kGPiaRhTftTEpmQayi7Juz1h2PtAc3sjSJW9iH2gbOjfJbA3Szciygf3XdVrDqBUIFXKKCuCAaTpwqQcQg+xGCRQiXVRx76JjcHb0XvycrQag/5Dm5ER0MTLiNKm7H5ICSKXTrq7ujADqTZ7IfqEItPainABqNtqzXJF1E2HA0IlPgWXxhyEWiJK+q3Fuk8LvJMUeQB0FkEirFQ/gdCgBy+MiATHRQ2cbMgFMow5ElowsuWoXR5ICqOAC9qVZvoizOBpb08GLcpRMIkbJqecZZttI+VxlCt83BBCYIwrg448/jiRJsGLFisLPV6xYgUceeaTyPb/61a9w2223od/v4+tf/zoef/xxnHfeeXjyySdr+wCDIEAQiCehHTt2VL6uDMe2cP2fHY+UZX/Wxco5pABOBUNzlTVHwQFTLwH3pZd/IzlOm5A7dtYbswgUzqo/k5LlN4JxZKRFP/Q3Gz9mgWEs34arM74MKCqAy18A9Mc03y9+3yJkrlHtPsQSAdxtL9SbUU1B0FYIN9wN9IqRLqooq8q6PYB+Htuxj5X1zgVWT28/PKHeebnxAbpkOn+oGOlaAkbmoPWT3ejF2XVR12nJciLsJZPc+amrZEa2j14ygDUQGZleT8OB61EkT3cFkEirlQykrE/17xc5XEn5o//rtGlEVg9gQDyYQJJOwIZeD6BQAPPwZrkErNAD6DkWwpxesHhSqH9Q77+zZYU/HnATieokEUAy5IQT+XaMAihjTrGJcm8cY6y2Xy5NU1iWhS9+8Yt4yUtegte97nW47LLLcO2119aqgJdeeinGx8f5f6tXr1Zem+vYnWcPrhgXFzCdJ9G5hv3GiwRhKiYQgq4COJKIG8t/sed0IuSTEPuhe3MBRGYbjUDTJoCWxRW4MSs7133tHkDp9atfovdeoEDehAo5NRPIf9nP11yDUEIpTJrm0epg39KIRN1zgmYPL4EggHobqOjp7KgAjmLAY3V0CSBlZI4k2X5oZxHSnOxkkjs/tabkAEjo2OVGFECvB5AIoJMMCj2AOlFP5F61YxH1pKOwE9GjErDPCaB6ED8vfQa7C8Hc6o5qKt/mqlveGx/Dza4fLeg5DoLciZyEg+JcZcVz0/U8RDxLcMBHyoVwle+DVI7nyniHWJ65jDnBJpYtWwbHcYbUvm3btg2pgoT99tsP+++/P8bHx/nPDj30UDDG8Nvf/rbyPRdffDG2b9/O/3vwwQenbycasGyBOFl3DqKGV85tHLBP8QI4HQRQN1Jn8JJ34770AJwbXgDA6lSSf9hazv+cPZVrKka5kWQ8Jy3UdK6Dcj+R19NV36TXrz5a+/fDdjjBGMsVQK08RGBIAbzXO0z7/QzZzWyplalWka1/YyjHNGk/6OX7sSRXACPdzzO/mblWilGQ4tSNAJIaC0CbAKZ5PBEp07pRNKTI+umkME8oZt8R6GHIDrNjmTALPV+9lC3Kr0UFUFVxAqQcvzTgJE5H3XY8aZZvmoheRg2VngKtk3AiC6RGZhZTnX9LDnArXz9NBEkstWuV51q8BzCJhHoHqDt4i2XkAS/fRhoEkBzZFCtk8RKwIYDAHCGAvu9j3bp12LhxY+HnGzduxLHHHlv5nuOOOw4PP/wwdu0SvSI///nPYds2DjjggMr39Ho9jI2NFf7bE5DLQeSAnY+Q5xkD3XoAF4+Km4Fl6as1o/s/H68JP4br00z16qIAPmCv4X8ONfpZCF4eJUMTMJIuF7OSmuDploBl9W317+j/foCTDlIAXV0SKq3hwXRfxL7m91FSQpfm/Xfa/ZSoUgB1Y2CyNSy0sptUqN3TKT67sfxYaiuAOdEas7oTQHoooM9Tf7Rf3hea7OSztnVL2fRdcMJMqQ91jA8A/yzcZFByz6pvg3r1nHgSLidv6uqdk38PfIQ8ww8QYd0qiKX50qQARravnCBh5QogESZyl6eWWtuNL+UAJqFE3pgDV/G6XSSAASeRMXOUFVlejo/LBNCUgIE5QgAB4MILL8RnP/tZXH311fjpT3+KP//zP8eWLVtw7rnnAsjUuzPOOIO//q1vfSuWLl2Ks846Cz/5yU9wyy234L3vfS/++I//GCM6Y7X2MJKUzfYSZg3yLGEAGJ1iD2DfdbQjdRb13EIFRDdIGgB+4x7I/6w7aB4Q7jgqAXcigKVICV+XAC5YDjzrWOC5rwH2Wav/+6U1kGKkrQBKH8Td7LnoFI7Uy1QnUt9iHdNBjqGg9o4KIEF7DRIRHuP9lN1c3UUFUM/FSwSOPk9dlcXOP4tFqWiz0HWGU8+XE+Ylfc0HLNoHbwoKIPLPr5eIMrSOAkhr8FkoMvSgRwCpHJ+GE2A5idS5TtBxd0gBzMlXqqgAOrboAUyiSZ4BGMGFqxha32tUANU+D1JjSQG0yZWte62Zo5gTJhAAOPXUU/HEE0/gkksuwdatW3HYYYdhw4YNWLMmU1u2bt2KLVu28NcvXLgQGzduxPnnn4+jjjoKS5cuxVve8hb87d/+7WztgkELeq6DFWM9PLoj+xJ3yQGUG/a1I2CQqbELey52DvJxWR0UwAe9tcinjiGAj/GOuXHjuQKoHfkBDJEObQJo28Af/z/931uxBupb0y5DS7glORy7Av0MT+qnpBJwedazCqY8qccvZkPGuiVgy0Lq9GAnARblCp5+rmNeAraoXOjC13w4cnrUmkAEUHMcXU4AuQkF+sYg6vlyoox86RJA3ofIAkEAmd4kECojj8RSH6LGue3kn52sAAbM1UocoEBrFk4gtbP9SDXaG7iKmROmJCICqLYGy7J4EHgalg0casfSd+2sj5CyBPPPI4QHTzXPkOZs87F6HUPn5yjmDAEEgPPOOw/nnXde5b9de+21Qz875JBDhsrGeysc25rX6h9h/8UjnABOtQewa6TOWN/jBLDLNrb6a0AiySJMaiuAIvctW0M3AlgkHdo9Y9MBt0xCOxDA1/0D/v/f/H/4RvoyeIMOIe5539kSdCeAy0olYP3Ps6wAdqhAeCNAEnBXt6cb65OfU/T+CK5uvDjcvMw5TmVkzZusXRp/N2Ce/qjG/POjLMIQHhZrkDcn/yz8NBAmEGjMI4YgTyNp9oAWMQe+hsGJ2jH6kgKo34dIYdQDMFvfUU0KIPUwJjRDV5EAAqIfM40CbgIJ4cF31faj5zrFLMHcyTuBnroZ0iuWgEkBHMoxnaeYMyXguY5XPi8zDuwzqleWmWuQjSBTJYBdegjL2+gUy+OLG92B1iOdZ8cSmO4UDmCoB3BWXHEl4qM7Vg8A8JI/wV/HZyOFjSAf76cFv6gAph0I4NKFRaqkM/8WwNBxKI8bVAGpTuTq1sm+y96QE5983musO14QgFuacqOrsrglAqgVXJyDcQUwLwEzPQXQyftrXcRAXkYONHMASX0dzUvAulmfVOr1rRgIKZ9Sj4TyObrxJHfAlueYN4HK0G4agDGmXQIGgNiSMvgoxFnDwNEr9wBGOQFkPeVjYZXGyVFJ2zEKIIA5pgDOZXzsDw/HVTffj7ccVW1QmS9YJRlBpjoKrkv/HgCMjYivTRcFcOkCQRhGrQC7O86OJXQiTovXFP8+G664cjbabDRmUwRL3gPYhXxNOZqp1I85NG5QAeVzYEqubgCjHfqgyzElugTQ641ko/jyGJpAZw5wDiI+fpyrb3CVna+ACOUGAEw+BSALGFctOQKAnZPvUZZPl9GJX4EweQFAOvk0bOiPo6OxcXY8AVj6CiDF1vQQIUxSpHkMDFMIgSYktgckef9dTiBD1pUADjgZntRQAEmN5SVgRqHzRgEEjAL4jMGSBT7+6nWH4qDleqPH5hqWSWpLFxPIwp7Lw7i79AACWQmY0EUBXD7Ww71pRsB2sX7n2JDavyst4lD+x5A5WU/fnkZ5tumsqJBFFzDNo9VFh3x3aQ0lRbfL51mO9ZnibGed7DzxphIB9PQIfc9zsVvOyGSao/0gmv57ef9dZHlaRi+v10fK8tfnBFDXqEWhzzaIyOopgLIjP979ZLYU9Dr1Icoj7XTmdZOC3LMiBHHKS8A6BDCmEOZ4UDCBqJaye57IEiwogBrHgo4DKX9U0rZ1FfI5CkMADZ5RkMttXUq4lmVxFbBrCXhsin2E+y7s40/C9+A/kpfgjPAvO4+CI3RytC0XoclJh+y7acE0KYDPW5E9FHUKWufzgHNXTkdloDwNRAtlBbALAZyyAlgm4x0+i9K6dcts0zkmsZ9mZEG3lO27Liap74wUQPjKfWvA8FQd3axPz/N5AHIy8SRfg5bSLM1VplBtnT5fKkP3ECKMU24CYRo9gDQKkElj3HQy/HpOWQEUJWBVEknleCdXACmYW3v2+RyFIYAGzyisWSpKNF3G6gGiDDwVEwihiwK476IeHsYyvDO6AD9iB3cwDZRv1l0IoFAA+9YsZUuWiU5HBfDTp6/Da1+wEv/2jmP031xy4HZSU1E8J7SxaD+kcoZh+fNVQdnV3Z/CaD+gGxkvE0BNlcV3bexm8pQcT9tRTQ9Do2k+JQe6BNDGoEQAMwVQ/VrhltTXAL7WfviOWEO8SyKhWn2IeQk4CUSots44OiLSKCqAsNWPJ3+wjAM+USTU6KfseeUeQCoB95WPBamxHguBJIaDrE/Y0VXI5yhMD6DBMwovWr0Y57/qIOw33v0LPMYJYMcS8BR7AJdLsSGeY+nNfQWGbta70w5f45HF/I/ynM49iiEFsBsBPHDZAlx1+rqOayiXLbuVgOVzQhv9MQRv+RJ2fOE0rLCexpM99RGTHCXyrB3rU+471MwABDB0LHWzCHuujaclBTCEpz2qkR6GFuZu5kSDsNAaMhVyJ5BmfW8D5mtdK8p5fQE8LNTpIbQthPAATCLJS8C6UTTCxDGAzfIQZJ2HG5d6AEMEUYI07+Fjjvp5zoPApQw/XRPIRIULeDd6yj2ZVMp20oCXoeWfz3cYAmjwjIJlWXjP+udNaRtTVQCn6gKWc+O0p0YAQK/YB7or7rYf6I0BwY5u750OTEfZcarwi85T7fy8HFNSAAH0n3Mcjgw+jv2sJ/CK/uH6GygRuL6uAuj2kAWu0RzgqWdL6mb4+a6NJ5k4t7sogNTcvxB5+LGld075ro0B8yGnigfQ60X0+mUFUI+8Ze/JI1QKJWANM0tPBFrbeeioVtQT9VLmPYBpkpFhS6MHkEYBWtIUj8wEoh4D8xSTSsB5D+Ak6yuTSHEcwsI8YkMAM5gSsMG8w3SWgDv1AJYUQG3sv65Qojt87X762wCAJc/u9r7pwjQpgFNCSa0pO1lVsXJ8ajcUy8pmp/6a7YeJMNHfQIls9fqa+2FZ2QMBoVMJuPg7dW+yPdfGh+O34frkdxBaPr6XvED7AYkIPGVkJhqEhdYwWUpAHGiWcN2yAthh3neQE1cm9SHqtLy4EgGkMGeth5v8u9nPewBTKgFrKMPcdZyEJRNIxxiY3AWc5QCqHQs6Dj5EFmHMbPi+GQUHGAJoMA8xnpfrtMtLOcamqADKwcG7u9zse4uAA1/G/7r/ssX62wCA/V/c7X3ThbUvL/59FmNgCFZHAviXrz0Eh6xchEve+IIpL2ky6nBOuGX1rQOZXiKN9OtSAl7ynOKSdHsAHRs/Y8/CudGf483LvoFPJqdof7/KxJeMCMprKBlRgA4KYNkE0sHMEuYk1B48DSCbUa3jZnbzqSx+GnDnq1bfGymAeQ8gyxU8nR5APoc3KY9x05gEgmEFcALqOYBkyPGZIKFhB0V2rsIcBYN5h1ccvBzjIx6OO2hpp/eP9afWAyhffMIu4cUAcPBrxZ+7mEAA4Hc/AKx5GXDSx7u9f6pY+3LgvDuyecK/c84sRdEUCSApBrpYPtbH9Re8HGccc2DnpZx42EoAwFnHdZitPGTi6EAAlz1X/LmLIWf/dQhGloslaTqRLcvi342dkxnh0P1+9UeKn1/agQAOWPE9AdPrRfTlKBl0I4CRVSaAevvh5aHcPTYQzledhxveAxghiBOeA2h16AG0E9kEolcCLiqAVAJWzwH0e8LNnIY0VcXrnAAx12B6AA3mHV79/BXY/IFXaz1Ry5iqAjgteO564P+9L/tz2mEEGgCM7AOc9R/Tt6YuWH4IcNq/zt7vX1pUrSJr9uIhPvXWF+PJ3eHQbGElLFxR/HsXBW/pQVN7v21j54GvQe+nXwDQbbZzz7ERxil2DDICqPv96o8UezpTbROII1zAOUJLr/9uQc/Dg2xfrLG2AQBiy9e+1kSWDzDADbdna9CMaiICOJbPCwc0FVm5BzBKgdwoZuucFzSNJAm7mUA8GwGTTCCRVAJWPC8oVLuHCGE4QD9fQ9f2n7kGowAazEt0JX/A1HMApwVL1gLjz8r+LGX6GWhi9UuAQ07if53QnoA7fXBsqxv5A4Cjzi7+vcv5XSCA3Y5Desgb+J97rj6JpF67HZNx4e+qKJMcpqkA9ipKwJbX17pe9D0bN+Ao/ndd9Q4Aopzw+VFGAGPNBxN/dOHQz8rmlEa4Ug9gkoKRCUSLAOZj+WQCqDHRpNwDyEgB1OgBlBXAKMjeHzCv0xSpuQhDAA0MNDHlWcAAFkzHBehPvwdc8GNgfP+pb2s+43V/z/946EHPbXjhXowFS4G3/3v25+Ud+xALBLAbER09WPR1xgv1zUnU2xUmWWtE1xgYgnYJ2LExwUoEULPFwrIs3O4fy/9u2/rfdVKivSRzM8ean0e/NJc5YRZ6XVzAeQmYXLy2q140pFGAdloOgu5SAh7w2cw6s4CppaOPEGGQlYBDUwLmMCVgAwNNLPAdOLaFJGVTipLpZACR0R/L/jOYGsZWYfL/931MPrkV+65a0/76vRVrjwf+/N7hcGtVyOXwvOFeFwv6PZy1+GpYwU58epX+3PLyfG5dBbDcC8k0lUzbtnAXDsUf4UYAQMos+J6+kvng6GHIpwvihfiF9vvjEnGNbD0S2h8pngMD+OjpPHTKPYBhkpWALcDSOZ4uZfCFBQI4rvjQLJtAWCSbQNRjYGgNvpUgnMwIZAgPSz2Hk9r5DEMADQw0YVkW3n7MgXjwqQnsv7hjbtyIh4e3D6Z5ZQZdMbLqBRhZNXUH76xjXJ90ccj5ktsf7LQJy7Lw2XefgpQxvdFlOcrKjnZOZlmt61DK/q59LIArAAC21e0hb2xBH3c//Vyss3+B292XQFdXjks9f7rjGkf6fhY/k0/50TY+5ETathiiKMjC4h3A0ZjvTFNZnDQsmUA0SsB5DmAaDWAXSsCK55b0QDC5U0x2GfEdhJNqm5jLMCVgA4MO+MDJz8f/OeMo/SkeOf7mDRnZeNcrD2p5pYHBLODpLZ3f6thWJ/IHAAv7RU1CfxZwiSh1MLPYXh8bExGRVFYlVbB41MNp4V/hz8Lz8NXRN2u/Pykpfomjn6ko5xkG8PWIrESko2ACvXyaiK2jLufbcNOiCcRVvGZmPYB5HmI4wWca68wClvcj3P0UX8Osmff2MhgF0MBgFnD0s5fix3/zGizsma+gwV6E/jgw2F7sB9yDWLawqDBpq28Llhf/3iHOxnds/HX0x3jpyG9x4+RzOo2M3GfUxwA9/N/0ZTiiw3jBpKRc6hJAy7IwQA/IR+IFTC/LUFZOJ3bvxghNE9GISaIsShsJEGVyW8g89TFujo3Iygn85JP856Ezom7KsZ2s7xAxonyuctTBlT1XYWiwgcEswZA/g70O53wXeNHbgDddMSu/funCImHTVmoWr8ZTPckU1YEA9jwbj2IJ/ukFX8G7o/M7BcaPj8pGMf33JyXTR9rBlBNK7uMB9OYZw7K4e3kwmMAIMgXQ6Q27i+vgyI7sfORkBEfZwAEAaV76tnICmDJL+1hQqHY6mTmqdccDzmUYAmhgYGBgkGHZc4E3/u9ZGxO4bEHx5tyFPD285Gj+Zy3TQg4iKE8NsrnIXRVAgraRBUDqFHuL0w5h7xO2IGtdwo/jvAw9mNiNEYumiagrgIXZw8FOAHqTQACAUZTMIFPvsjFwevvBY3jyUO1EMxtyLsMQQAMDAwODvQJDCmAH8vTkChHBYnUYiUfTSHZ0nEYCAPtICqCO4kVIS8SVaZaAAWBz/yX8z7rj7AAxRi8MJjCKrP+uPDu7CZ7rIWT578wVwBAeXI1QbVZS+ybR0x7jFub7Yedr0DXUzGUYAmhgYGBgsFdg2VRLwAAm9z+O/3lhslP7/fQ7t+cEsEtm3PjIFBVAtzTSroMC+KN9Xsf/vAzbtddBZehwMIkRIoAa/YyeayOkHL9cAQzhahFiVtpvnQxAAoVo01SVMrmezzAE0MDAwMBgr8BSyQTiu3anZv0F+wgjyGDBKu33cwWQxtFNUQHsUsZ+YPFLeQQK0E0BTBc/i//52fYj2kSWQrSjYAIjFhFA9dgr35EmeQR5Bh/TKwGXezgnNKaAEChSx4syElpWFeczDAE0MDAwMNgrILuAu0Z1jI94eGXwj3hPeC627fdK7fcTYaNxdF16ABePTm0/JkZW4apEjCi0NIgXYekCH+8KzwcAfCJ+k3YJOM1JZxxMchcwPPUYGDnIWZhA1CeBABgigFoZgDmo5NtLMke07nSYuQxjQzQwMDAw2CuwdIG44dsdozrGRzw8wPbDA2w/vMzXb/j3SyXgqfYAdgrEdm1cGb8Br7XvxAJrgMnevtrbWLLAx6fTY3DH4BA8bS/GuzXXkebkKwknuyuAzAMs8DFuuiaQcrB3lgGoW8rOCN9ouivfpiGABEMADQwMDAz2CshztncHcbdtSOSLMf33k2I3GWWjGqcaAxPGqfb7PcfGAD2cHH4YCWy8TWMCB2Gf3FH9GPbBgg77QKVSOwkx4nUwgThSD2COEJ4WgbPdIuGcRF85R5BASuZCtjsjox36KecqTAnYwMDAwGCvgDxZJ047sDcAi6R8TSJxWu8vTSPpUgKW+/4mOqyBfmcIDwkcbecrkJWACSM6c4AJOXHqWaFUAlYngIUScI4Qrt7x9EfwW7aM/3UCPfiaPYDISSSNxbM6ZEPOVRgCaGBgYGAwZyAbRyZDffIl9+8B3UrAMrqsYaxfJE5dysj7LJD7EPX3wc6DnHuIRAzMVAkgc7XW0vMc3JQcwf/epQRs+yXFzxBADkMADQwMDAzmJPZdpH+zl/v3gG4KoIzJSL+UXVYhuxBAWQHssg9uPvZtFAOunmnFwDg2QlY8lhFcLTXTdx3ckL6I/72LCcT2i2Vk2zMlYILpATQwMDAw2Gvg2BaSjuVfwmfPOAp3PPAETjpcPwZmuhXAiWlQALuUgJcsmJrZwetlxGmxtVtaiDoB7Lk2tpcUQGZ7cGz1Em7PtfGd9Pn876usJ7QJoFeaX2wbBZDDKIAGBgYGBnsNpmNG9u89fwXe//rna5ENwj6jUx9HBwC/d2iWR3jmsQdqv7esAHaZJiIfx0Gkb0Tx+xlxWgwpTFvDQOE5wyVg3fJrz7UxCfE7n2YLtPsZicgSHKMAcswpAnjFFVdg7dq16Pf7WLduHW699Val933ve9+D67o48sgjZ3aBBgYGBgaN2G98dm/Q01UCvuK0ddj45y/HG47QVyEXDfUA6hNZuRdyd6hfhnbz0uk+Vh7ibPcBjWieqh5A3dnMRL6vfeHn8NMVJ+Py+A8wqqnI+v1iduFQT+A8xpwhgNdddx0uuOACvP/978emTZtw/PHH48QTT8SWLVsa37d9+3acccYZ+N3f/d09tFIDAwMDgzpc/j9ehLXLFuDy/3HkrPz+6SoB+66N565Y1GmaydhIqQewYyg2YSLQL0NbuVK2GFkJOLL1iJPnWAhYifBpZvDR+Lot/sH492f/NbZiqbYC2BsploBdXz9Ue65izhDAyy67DGeffTbOOeccHHroofj4xz+O1atX48orr2x83zve8Q689a1vxTHHHLOHVmpgYGBgUIfnrVyEGy86AW88cv9Z+f3DCuDUegC7oKwAdikBywgT/RIwlWsXW1kJOLb1iJPv2tiKJYWf2Z5eCZj2O0wS3kupTQDHlhX+7hoFkGNOEMAwDHH33Xdj/fr1hZ+vX78e3//+92vfd8011+D+++/HBz/4wZleooGBgYHBMwByGDUwdRdwFyzwHcjti11MIFOGWywBx5rziHuOg1+mRRJvd1QAgyjFIM9T1C0BuysPK/zd6xkCSJgTLuDHH38cSZJgxYoVhZ+vWLECjzzySOV7fvGLX+Av//Ivceutt8J11Q5DEAQIgoD/fceOHd0XbWBgYGCw18F1bIz1XewY5LOAO5pApgLLsrCwJ9bQJQZmysgVwH2QEcDE1VMAPdfCL1mZAOqaQLJjH8QpyEytHWq9/NDCX11DADnmhAJIKPdaMMYq+y+SJMFb3/pW/M3f/A0OPvhg5e1feumlGB8f5/+tXr16yms2MDAwMNi7sKSQobfnCSBQLAN3LQH/w5uzEOVLT3mh/ptdmgSSZQAmjmYJ2LHxAFtZ+JnTwQUMAEHcvQSM3iI8YgtxyDc9gBxzQgFctmwZHMcZUvu2bds2pAoCwM6dO3HXXXdh06ZNeNe73gUASNMUjDG4rov//M//xKte9aqh91188cW48MIL+d937NhhSKCBgYHBHINMvmajBAwAYyMeHnp6EkB3E8gfrjsArz1sZbdonVLkS+rpESfHthBaPiaZjxErGyXn+3rrEAQw5dmQox3G2v3WfzZWDh7N1tBXzzKc65gTBND3faxbtw4bN27E7//+7/Ofb9y4EW984xuHXj82NoZ77rmn8LMrrrgCN9xwA77yla9g7dq1lb+n1+uh1zMhkgYGBgZzGSOS6jd7CqC4PXeJgSF0zlUs5eUxV484WZYF37HxG7YCh1gPAhCEThXU+xjGKYI4M7KMdPg8Hhs9CBjcnq2hb0rAhDlBAAHgwgsvxOmnn46jjjoKxxxzDD7zmc9gy5YtOPfccwFk6t1DDz2Ez3/+87BtG4cdVmwMXb58Ofr9/tDPDQwMDAzmF/qSyqRLWqYLYxIBnJU1lBRApqkAAlkZeEu6HIeACKCmg1fqARQlYH3a8vSig4An820aBZBjzhDAU089FU888QQuueQSbN26FYcddhg2bNiANWvWAAC2bt3amgloYGBgYGAwIpV9u+T4TQfkMvRsmkDEIhZUv64BvmvjN4Fow+ppltO5CzhOMJmHWXcpAQ/GniO22Tc9gIQ5ZQI577zz8Otf/xpBEODuu+/Gy1/+cv5v1157LW666aba937oQx/C5s2bZ36RBgYGBgZ7NbqUGacbxRLwLNyqF+1X/HsHBdBzbNyaCgOKvgIoYmAm8xiYLp9NvOx5+Em6Bj9J12Bk4WLt989VzBkF0MDAwMDAYDqg7TSdAYzNtgK45NlI3T7seAAAsHz90qnv2rglPQJXLr4I3350DEdqlrKrS8D6n8346AheH34Yvg3cpxj7Nh8wpxRAAwMDAwODqWK2jB8yFs12D6DtIFkmMvS6EkAA2OC8EpvZQfolYMkEMpkTwC4l4PFRDww2fE8viHquwxBAAwMDAwMDCcc9Z1n7i2YYs94DCMDe73D+59DSd8/SuncFWf+ebgmYiPj2yQhxHgPTpQS8OJ/u0t8LlN29CUYLNTAwMDAwkPC7hy7HVW97MQ5ZOTZra1g4TTEwU4Gz3wuBTdmfRxcu0n4/KYA7B1mYtK6SuTify0z9f0C3EvAhK8ewdIGPl6xd0v7ieQRDAA0MDAwMDCRYloXXHrZf+wtnELLSNSuzgAFgpTBwrFiyj/bb/Zy47hyQAqhJAEtzmR3b6jQVZXzUw+0X/+6sEem9FaYEbGBgYGBgsJdBnkAyWyVgrHiB+HM0qf12yuyjEOeeZvmW5jLz7XlO51ge37VnLdJnb4UhgAYGBgYGBnsZ5H65rrOAp74Iqew7oq8AykYWoJuZZR9pLvPe4M6eSzAlYAMDAwMDg70Mz1oiXLe2PYvK1Vn/D/jN94Hnnaj9VjnKBuhGABeP+vjNExMAujmADephCKCBgYGBgcFehpXjfXzuj1/SfZbvdGHNsdl/HTA2UlYA9QncPqOCRO4NAd1zCYYAGhgYGBgY7IV4xcH7zvYSpoQhBVAzBxAA9hk1JeCZgukBNDAwMDAwMJh2jI1MvQQsE0BTAp5eGAJoYGBgYGBgMO0YGzKBmBLw3gRDAA0MDAwMDAymHdOhAC4uuIBN19p0whBAAwMDAwMDg2lHuQew36kHUGxj1CiA0wpDAA0MDAwMDAymHdNTAjYmkJmCIYAGBgYGBgYG047pNoEYAji9MATQwMDAwMDAYNoxHATdQQFcYErAMwVDAA0MDAwMDAymHX3PhueIKSYmB3DvgiGABgYGBgYGBtMOy7IKKmCXEnDfc7h5xBDA6YUhgAYGBgYGBgYzAuoD9F0bltVtpjGpgCYIenphCKCBgYGBgYHBjICcwF3UPwIRwBHP5ABOJwwBNDAwMDAwMJgRkALYxQBCOOu4A/Gyg5bhmGcvna5lGQAwdNrAwMDAwMBgRkA9gFNRAN981Gq8+ajV07UkgxxGATQwMDAwMDCYESyiEnAHB7DBzMJ8IgYGBgYGBgYzgukoARvMDAwBNDAwMDAwMJgRTIcJxGBmYD4RAwMDAwMDgxmBUAAN3djbYD4RAwMDAwMDgxnB/otHAAD7LurN8koMyjAuYAMDAwMDA4MZwQnPW44rTnsx1q3ZZ7aXYlCCIYAGBgYGBgYGMwLHtvC6F+4328swqMCcKgFfccUVWLt2Lfr9PtatW4dbb7219rVf+9rX8OpXvxr77rsvxsbGcMwxx+Db3/72HlytgYGBgYGBgcHsYM4QwOuuuw4XXHAB3v/+92PTpk04/vjjceKJJ2LLli2Vr7/lllvw6le/Ghs2bMDdd9+NV77ylTj55JOxadOmPbxyAwMDAwMDA4M9C4sxxmZ7EdOBo48+Gi9+8Ytx5ZVX8p8deuiheNOb3oRLL71UaRsveMELcOqpp+IDH/iA0ut37NiB8fFxbN++HWNjY53WbWBgYGBgYLBnYe7fc0QBDMMQd999N9avX1/4+fr16/H9739faRtpmmLnzp1YsmTJTCzRwMDAwMDAwGCvwZwwgTz++ONIkgQrVqwo/HzFihV45JFHlLbxj//4j9i9ezfe8pa31L4mCAIEQcD/vmPHjm4LNjAwMDAwMDCYRcwJBZBgWVbh74yxoZ9V4Utf+hI+9KEP4brrrsPy5ctrX3fppZdifHyc/7d6tRlObWBgYGBgYPDMw5wggMuWLYPjOENq37Zt24ZUwTKuu+46nH322fjXf/1X/N7v/V7jay+++GJs376d//fggw9Oee0GBgYGBgYGBnsac4IA+r6PdevWYePGjYWfb9y4Eccee2zt+770pS/hzDPPxL/8y7/g9a9/fevv6fV6GBsbK/xnYGBgYGBgYPBMw5zoAQSACy+8EKeffjqOOuooHHPMMfjMZz6DLVu24NxzzwWQqXcPPfQQPv/5zwPIyN8ZZ5yByy+/HC996Uu5ejgyMoLx8fFZ2w8DAwMDAwMDg5nGnCGAp556Kp544glccskl2Lp1Kw477DBs2LABa9asAQBs3bq1kAn46U9/GnEc453vfCfe+c538p+//e1vx7XXXrunl29gYGBgYGBgsMcwZ3IAZwMmR8jAwMDAwOCZB3P/niM9gAYGBgYGBgYGBuowBNDAwMDAwMDAYJ5hzvQAzgaoem4CoQ0MDAwMDJ45oPv2fO6CMwRwCti5cycAmEBoAwMDAwODZyB27tw5b5M/jAlkCkjTFA8//DAWLVqkNHFkb8SOHTuwevVqPPjgg/O2EdagCHNOGMgw54NBGXPhnGCMYefOnVi1ahVse352wxkFcAqwbRsHHHDAbC9jWmCCrQ3KMOeEgQxzPhiU8Uw/J+ar8keYn7TXwMDAwMDAwGAewxBAAwMDAwMDA4N5BkMA5zl6vR4++MEPotfrzfZSDPYSmHPCQIY5HwzKMOfE3IAxgRgYGBgYGBgYzDMYBdDAwMDAwMDAYJ7BEEADAwMDAwMDg3kGQwANDAwMDAwMDOYZDAE0MDAwMDAwMJhnMARwDuCWW27BySefjFWrVsGyLHzjG98o/Pujjz6KM888E6tWrcLo6Che+9rX4he/+EXhNY888ghOP/10rFy5EgsWLMCLX/xifOUrX6n8fUEQ4Mgjj4RlWdi8efMM7ZVBV0zH+XD//ffj93//97HvvvtibGwMb3nLW/Doo4/yf//1r3+Ns88+G2vXrsXIyAie85zn4IMf/CDCMNwTu2igiUsvvRS/8zu/g0WLFmH58uV405vehPvuu6/wGsYYPvShD2HVqlUYGRnBCSecgHvvvbfwmiAIcP7552PZsmVYsGAB3vCGN+C3v/1t4TVPPfUUTj/9dIyPj2N8fBynn346nn766ZneRQMN7Mnz4ec//zne+MY3YtmyZRgbG8Nxxx2HG2+8ccb30aAdhgDOAezevRtHHHEEPvWpTw39G2MMb3rTm/CrX/0K//f//l9s2rQJa9aswe/93u9h9+7d/HWnn3467rvvPnzzm9/EPffcg1NOOQWnnnoqNm3aNLTN973vfVi1atWM7pNBd0z1fNi9ezfWr18Py7Jwww034Hvf+x7CMMTJJ5+MNE0BAD/72c+Qpik+/elP495778U//dM/4aqrrsJf/dVf7dF9NVDDzTffjHe+8534wQ9+gI0bNyKOY6xfv75wDfjYxz6Gyy67DJ/61Kdw5513YuXKlXj1q1/NZ54DwAUXXICvf/3r+PKXv4zbbrsNu3btwkknnYQkSfhr3vrWt2Lz5s24/vrrcf3112Pz5s04/fTT9+j+GjRjT54Pr3/96xHHMW644QbcfffdOPLII3HSSSfhkUce2aP7bFABZjCnAIB9/etf53+/7777GAD24x//mP8sjmO2ZMkS9n/+z//hP1uwYAH7/Oc/X9jWkiVL2Gc/+9nCzzZs2MAOOeQQdu+99zIAbNOmTTOyHwbTgy7nw7e//W1m2zbbvn07f82TTz7JALCNGzfW/q6PfexjbO3atdO/EwbTjm3btjEA7Oabb2aMMZamKVu5ciX7yEc+wl8zGAzY+Pg4u+qqqxhjjD399NPM8zz25S9/mb/moYceYrZts+uvv54xxthPfvITBoD94Ac/4K+5/fbbGQD2s5/9bE/smkEHzNT58NhjjzEA7JZbbuGv2bFjBwPAvvOd7+yJXTNogFEA5ziCIAAA9Pt9/jPHceD7Pm677Tb+s5e97GW47rrr8OSTTyJNU3z5y19GEAQ44YQT+GseffRR/Mmf/Am+8IUvYHR0dI/tg8H0QeV8CIIAlmUVQl77/T5s2y6cM2Vs374dS5YsmaGVG0wntm/fDgD883rggQfwyCOPYP369fw1vV4Pr3jFK/D9738fAHD33XcjiqLCa1atWoXDDjuMv+b222/H+Pg4jj76aP6al770pRgfH+evMdj7MFPnw9KlS3HooYfi85//PHbv3o04jvHpT38aK1aswLp16/bU7hnUwBDAOY5DDjkEa9aswcUXX4ynnnoKYRjiIx/5CB555BFs3bqVv+66665DHMdYunQper0e3vGOd+DrX/86nvOc5wDISodnnnkmzj33XBx11FGztTsGU4TK+fDSl74UCxYswF/8xV9gYmICu3fvxnvf+16kaVo4Z2Tcf//9+OQnP4lzzz13T+6OQQcwxnDhhRfiZS97GQ477DAA4OW4FStWFF67YsUK/m+PPPIIfN/HPvvs0/ia5cuXD/3O5cuXm5LfXoqZPB8sy8LGjRuxadMmLFq0CP1+H//0T/+E66+/HosXL57hPTNogyGAcxye5+GrX/0qfv7zn2PJkiUYHR3FTTfdhBNPPBGO4/DX/fVf/zWeeuopfOc738Fdd92FCy+8EG9+85txzz33AAA++clPYseOHbj44otna1cMpgEq58O+++6Lf/u3f8O3vvUtLFy4EOPj49i+fTte/OIXF84ZwsMPP4zXvva1ePOb34xzzjlnT++SgSbe9a534b//+7/xpS99aejfLMsq/J0xNvSzMsqvqXq9ynYMZgczeT4wxnDeeedh+fLluPXWW/HDH/4Qb3zjG3HSSSfVPkwa7Dm4s70Ag5nHunXrsHnzZmzfvh1hGGLffffF0UcfzZW8+++/H5/61Kfw4x//GC94wQsAAEcccQRuvfVW/O///b9x1VVX4YYbbsAPfvCDodmPRx11FE477TR87nOf2+P7ZdANbecDAKxfvx73338/Hn/8cbiui8WLF2PlypVYu3ZtYVsPP/wwXvnKV+KYY47BZz7zmT29KwaaOP/88/HNb34Tt9xyCw444AD+85UrVwLIVJ399tuP/3zbtm1cBVq5ciXCMMRTTz1VUH22bduGY489lr9GdosTHnvssSE1yWD2MdPnww033IB///d/x1NPPYWxsTEAwBVXXIGNGzfic5/7HP7yL/9yxvfRoB5GAZxHGB8fx7777otf/OIXuOuuu/DGN74RADAxMQEAsO3i6eA4Dnd9fuITn8B//dd/YfPmzdi8eTM2bNgAICsdf/jDH96De2EwXag7H2QsW7YMixcvxg033IBt27bhDW94A/+3hx56CCeccAJe/OIX45prrhk6fwz2HjDG8K53vQtf+9rXcMMNNwwR+bVr12LlypXYuHEj/1kYhrj55pv5zXzdunXwPK/wmq1bt+LHP/4xf80xxxyD7du344c//CF/zR133IHt27fz1xjMPvbU+VB3b7Ftm99bDGYRs2Q+MZhG7Ny5k23atIlt2rSJAWCXXXYZ27RpE/vNb37DGGPsX//1X9mNN97I7r//fvaNb3yDrVmzhp1yyin8/WEYsoMOOogdf/zx7I477mC//OUv2T/8wz8wy7LYf/zHf1T+zgceeMC4gPdSTPV8YIyxq6++mt1+++3sl7/8JfvCF77AlixZwi688EL+7w899BA76KCD2Kte9Sr229/+lm3dupX/Z7D34U//9E/Z+Pg4u+mmmwqf1cTEBH/NRz7yETY+Ps6+9rWvsXvuuYf90R/9Edtvv/3Yjh07+GvOPfdcdsABB7DvfOc77Ec/+hF71atexY444ggWxzF/zWtf+1p2+OGHs9tvv53dfvvt7IUvfCE76aST9uj+GjRjT50Pjz32GFu6dCk75ZRT2ObNm9l9993HLrroIuZ5Htu8efMe32+DIgwBnAO48cYbGYCh/97+9rczxhi7/PLL2QEHHMA8z2PPetaz2F//9V+zIAgK2/j5z3/OTjnlFLZ8+XI2OjrKDj/88KFYGBmGAO69mI7z4S/+4i/YihUrmOd57LnPfS77x3/8R5amKf/3a665pvJ3mGfKvRN1n9U111zDX5OmKfvgBz/IVq5cyXq9Hnv5y1/O7rnnnsJ2Jicn2bve9S62ZMkSNjIywk466SS2ZcuWwmueeOIJdtppp7FFixaxRYsWsdNOO4099dRTe2AvDVSxJ8+HO++8k61fv54tWbKELVq0iL30pS9lGzZs2BO7adACizHGZl5nNDAwMDAwMDAw2FtgmnYMDAwMDAwMDOYZDAE0MDAwMDAwMJhnMATQwMDAwMDAwGCewRBAAwMDAwMDA4N5BkMADQwMDAwMDAzmGQwBNDAwMDAwMDCYZzAE0MDAwMDAwMBgnsEQQAMDg3mHm266CZZl4emnn57tpRgYGBjMCkwQtIGBwZzHCSecgCOPPBIf//jHAWRzTZ988kmsWLEClmXN7uIMDAwMZgHubC/AwMDAYE/D932sXLlytpdhYGBgMGswJWADA4M5jTPPPBM333wzLr/8cliWBcuycO211xZKwNdeey0WL16Mf//3f8fznvc8jI6O4g//8A+xe/dufO5zn8OBBx6IffbZB+effz6SJOHbDsMQ73vf+7D//vtjwYIFOProo3HTTTfNzo4aGBgYaMAogAYGBnMal19+OX7+85/jsMMOwyWXXAIAuPfee4deNzExgU984hP48pe/jJ07d+KUU07BKaecgsWLF2PDhg341a9+hT/4gz/Ay172Mpx66qkAgLPOOgu//vWv8eUvfxmrVq3C17/+dbz2ta/FPffcg+c+97l7dD8NDAwMdGAIoIGBwZzG+Pg4fN/H6OgoL/v+7Gc/G3pdFEW48sor8ZznPAcA8Id/+If4whe+gEcffRQLFy7E85//fLzyla/EjTfeiFNPPRX3338/vvSlL+G3v/0tVq1aBQC46KKLcP311+Oaa67B3/3d3+25nTQwMDDQhCGABgYGBgBGR0c5+QOAFStW4MADD8TChQsLP9u2bRsA4Ec/+hEYYzj44IML2wmCAEuXLt0zizYwMDDoCEMADQwMDAB4nlf4u2VZlT9L0xQAkKYpHMfB3XffDcdxCq+TSaOBgYHB3ghDAA0MDOY8fN8vmDemAy960YuQJAm2bduG448/flq3bWBgYDDTMC5gAwODOY8DDzwQd9xxB37961/j8ccf5yreVHDwwQfjtNNOwxlnnIGvfe1reOCBB3DnnXfiox/9KDZs2DANqzYwMDCYORgCaGBgMOdx0UUXwXEcPP/5z8e+++6LLVu2TMt2r7nmGpxxxhl4z3veg+c973l4wxvegDvuuAOrV6+elu0bGBgYzBTMJBADAwMDAwMDg3kGowAaGBgYGBgYGMwzGAJoYGBgYGBgYDDPYAiggYGBgYGBgcE8gyGABgYGBgYGBgbzDIYAGhgYGBgYGBjMMxgCaGBgYGBgYGAwz2AIoIGBgYGBgYHBPIMhgAYGBgYGBgYG8wyGABoYGBgYGBgYzDMYAmhgYGBgYGBgMM9gCKCBgYGBgYGBwTyDIYAGBgYGBgYGBvMM/x9BYzUeWr5qEwAAAABJRU5ErkJggg=="
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "a = Image(\"Arctic_tseries.png\")\n",
    "b = Image(\"Arctic_clim.png\")\n",
    "display_png(a,b)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "404ed8d1",
   "metadata": {},
   "source": [
    "### 3.1 Introducing the PCMDI Metrics Package (PMP) parameter file <a class=\"anchor\" id=\"param\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2540cd5d",
   "metadata": {},
   "source": [
    "The PMP drivers can all read user arguments from parameter files. We provide a demo parameter file, which is shown below. Comments (beginning with a '#') explain each of the parameters."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7ebfa21",
   "metadata": {},
   "source": [
    "<div align=right>\n",
    "<a href=Demo_9_seaIceExtent_ivanova.ipynb#top>Go back to Top</a>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6e4fa38d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# Sea ice metrics parameter file\n",
      "\n",
      "# Settings for models\n",
      "# --------------------\n",
      "# List of models to include in analysis\n",
      "test_data_set = [\n",
      "    \"E3SM-1-0\",\n",
      "]\n",
      "\n",
      "# realization can be a single realization, a list of realizations, or \"*\" for all realizations\n",
      "realization = \"r1i2p2f1\"\n",
      "\n",
      "# test_data_path is a template for the model data parent directory\n",
      "test_data_path = \"/p/user_pub/pmp/demo/sea-ice/links_siconc/%(model)/historical/%(realization)/siconc/\"\n",
      "\n",
      "# filename_template is a template for the model data file name\n",
      "# combine it with test_data_path to get complete data path\n",
      "filename_template = \"siconc_SImon_%(model)_historical_%(realization)_*_*.nc\"\n",
      "\n",
      "# The name of the sea ice variable in the model data\n",
      "var = \"siconc\"\n",
      "\n",
      "# Start and end years for model data\n",
      "msyear = 1981\n",
      "meyear = 2010\n",
      "\n",
      "# Factor for adjusting model data to decimal rather than percent units\n",
      "ModUnitsAdjust = (True, \"multiply\", 1e-2)\n",
      "\n",
      "# Template for the grid area file\n",
      "area_template = \"/p/user_pub/pmp/demo/sea-ice/links_area/%(model)/*.nc\"\n",
      "\n",
      "# Area variable name; likely 'areacello' or 'areacella' for CMIP6\n",
      "area_var = \"areacello\"\n",
      "\n",
      "# Factor to convert area units to km-2\n",
      "AreaUnitsAdjust = (True, \"multiply\", 1e-6)\n",
      "\n",
      "# Directory for writing outputs\n",
      "case_id = \"ex1\"\n",
      "metrics_output_path = \"sea_ice_demo/%(case_id)/\"\n",
      "\n",
      "# Settings for the observational data\n",
      "# ------------------------------------\n",
      "# Paths to northern and southern hemisphere files\n",
      "reference_data_path_nh = \"/p/user_pub/pmp/demo/sea-ice/EUMETSAT/OSI-SAF-450-a-3-0/v20231201/ice_conc_nh_ease2-250_cdr-v3p0_198801-202012.nc\"\n",
      "reference_data_path_sh = \"/p/user_pub/pmp/demo/sea-ice/EUMETSAT/OSI-SAF-450-a-3-0/v20231201/ice_conc_sh_ease2-250_cdr-v3p0_198801-202012.nc\"\n",
      "\n",
      "# Factor for adjusting obs data to decimal rather than percent units\n",
      "ObsUnitsAdjust = (True, \"multiply\", 1e-2)\n",
      "\n",
      "# Name of reference data\n",
      "reference_data_set = \"OSI-SAF\"\n",
      "\n",
      "# Start and end years for obs\n",
      "osyear = 1988\n",
      "oeyear = 2020\n",
      "\n",
      "# Name of sea ice concentration variable\n",
      "obs_var = \"ice_conc\"\n",
      "\n",
      "# Factor to convert area units to km-2\n",
      "ObsAreaUnitsAdjust = (False, 0, 0)\n",
      "\n",
      "# In this case there is no obs area file, so these are None\n",
      "obs_area_template = None\n",
      "obs_area_var = None\n",
      "\n",
      "# Because there is no obs area file and this data\n",
      "# uses an equal-area grid, we provide the\n",
      "# fixed grid cell area value in km2 units\n",
      "obs_cell_area = 625  # km 2\n",
      "\n"
     ]
    }
   ],
   "source": [
    "with open(\"sea_ice_param.py\") as f:\n",
    "    print(f.read())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38dbe853",
   "metadata": {},
   "source": [
    "To see all of the parameters available for the sea ice metrics, run the --help command as shown here:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc0d0eeb",
   "metadata": {},
   "source": [
    "### 3.2 Introducing the PMP driver file <a class=\"anchor\" id=\"driver\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f71e219a",
   "metadata": {},
   "source": [
    "<div align=right>\n",
    "<a href=Demo_9_seaIceExtent_ivanova.ipynb#top>Go back to Top</a>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9d6c1fbf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "usage: sea_ice_driver.py [-h] [--parameters PARAMETERS]\n",
      "                         [--diags OTHER_PARAMETERS [OTHER_PARAMETERS ...]]\n",
      "                         [--case_id CASE_ID] [-v VAR] [--obs_var OBS_VAR]\n",
      "                         [--area_var AREA_VAR] [--obs_area_var OBS_AREA_VAR]\n",
      "                         [-r REFERENCE_DATA_SET [REFERENCE_DATA_SET ...]]\n",
      "                         [--reference_data_path_nh REFERENCE_DATA_PATH_NH]\n",
      "                         [--reference_data_path_sh REFERENCE_DATA_PATH_SH]\n",
      "                         [-t TEST_DATA_SET [TEST_DATA_SET ...]]\n",
      "                         [--test_data_path TEST_DATA_PATH]\n",
      "                         [--realization REALIZATION]\n",
      "                         [--filename_template FILENAME_TEMPLATE]\n",
      "                         [--metrics_output_path METRICS_OUTPUT_PATH]\n",
      "                         [--filename_output_template FILENAME_OUTPUT_TEMPLATE]\n",
      "                         [--area_template AREA_TEMPLATE]\n",
      "                         [--obs_area_template_nh OBS_AREA_TEMPLATE_NH]\n",
      "                         [--obs_area_template_sh OBS_AREA_TEMPLATE_SH]\n",
      "                         [--obs_cell_area OBS_CELL_AREA]\n",
      "                         [--output_json_template OUTPUT_JSON_TEMPLATE]\n",
      "                         [--debug] [--plots] [--osyear OSYEAR]\n",
      "                         [--msyear MSYEAR] [--oeyear OEYEAR] [--meyear MEYEAR]\n",
      "                         [--ObsUnitsAdjust OBSUNITSADJUST]\n",
      "                         [--ModUnitsAdjust MODUNITSADJUST]\n",
      "                         [--AreaUnitsAdjust AREAUNITSADJUST]\n",
      "                         [--ObsAreaUnitsAdjust OBSAREAUNITSADJUST]\n",
      "                         [--plot PLOT]\n",
      "\n",
      "options:\n",
      "  -h, --help            show this help message and exit\n",
      "  --parameters PARAMETERS, -p PARAMETERS\n",
      "  --diags OTHER_PARAMETERS [OTHER_PARAMETERS ...], -d OTHER_PARAMETERS [OTHER_PARAMETERS ...]\n",
      "                        Path to other user-defined parameter file. (default:\n",
      "                        None)\n",
      "  --case_id CASE_ID     Defines a subdirectory to the metrics output, so\n",
      "                        multiplecases can be compared (default: None)\n",
      "  -v VAR, --var VAR     Name of model sea ice concentration variable (default:\n",
      "                        None)\n",
      "  --obs_var OBS_VAR     Name of obs sea ice concentration variable (default:\n",
      "                        None)\n",
      "  --area_var AREA_VAR   Name of model area variable (default: None)\n",
      "  --obs_area_var OBS_AREA_VAR\n",
      "                        Name of reference data area variable (default: None)\n",
      "  -r REFERENCE_DATA_SET [REFERENCE_DATA_SET ...], --reference_data_set REFERENCE_DATA_SET [REFERENCE_DATA_SET ...]\n",
      "                        List of observations or models that are used as a\n",
      "                        reference against the test_data_set (default: None)\n",
      "  --reference_data_path_nh REFERENCE_DATA_PATH_NH\n",
      "                        Path for the reference climatologies for southern\n",
      "                        hemisphere (default: None)\n",
      "  --reference_data_path_sh REFERENCE_DATA_PATH_SH\n",
      "                        Path for the reference climatologies for northern\n",
      "                        hemisphere (default: None)\n",
      "  -t TEST_DATA_SET [TEST_DATA_SET ...], --test_data_set TEST_DATA_SET [TEST_DATA_SET ...]\n",
      "                        List of observations or models to test against the\n",
      "                        reference_data_set (default: None)\n",
      "  --test_data_path TEST_DATA_PATH\n",
      "                        Path for the test climitologies (default: None)\n",
      "  --realization REALIZATION\n",
      "                        A simulation parameter (default: None)\n",
      "  --filename_template FILENAME_TEMPLATE\n",
      "                        Template for climatology files (default: None)\n",
      "  --metrics_output_path METRICS_OUTPUT_PATH\n",
      "                        Directory of where to put the results (default: None)\n",
      "  --filename_output_template FILENAME_OUTPUT_TEMPLATE\n",
      "                        Filename for the interpolated test climatologies\n",
      "                        (default: None)\n",
      "  --area_template AREA_TEMPLATE\n",
      "                        Filename template for model grid area (default: None)\n",
      "  --obs_area_template_nh OBS_AREA_TEMPLATE_NH\n",
      "                        Filename template for obs grid area in Northern\n",
      "                        Hemisphere (default: None)\n",
      "  --obs_area_template_sh OBS_AREA_TEMPLATE_SH\n",
      "                        Filename template for obs grid area in Southern\n",
      "                        Hemisphere (default: None)\n",
      "  --obs_cell_area OBS_CELL_AREA\n",
      "                        For equal area grids, the cell area in km (default:\n",
      "                        None)\n",
      "  --output_json_template OUTPUT_JSON_TEMPLATE\n",
      "                        Filename template for results json files (default:\n",
      "                        None)\n",
      "  --debug               Turn on debugging mode by printing more information to\n",
      "                        track progress (default: False)\n",
      "  --plots               Set to True to generate figures. (default: False)\n",
      "  --osyear OSYEAR       Start year for reference data set (default: None)\n",
      "  --msyear MSYEAR       Start year for model data set (default: None)\n",
      "  --oeyear OEYEAR       End year for reference data set (default: None)\n",
      "  --meyear MEYEAR       End year for model data set (default: None)\n",
      "  --ObsUnitsAdjust OBSUNITSADJUST\n",
      "                        Factor to convert obs sea ice concentration to\n",
      "                        decimal. For example: - (True, 'divide', 100.0) #\n",
      "                        percentage to decimal - (False, 0, 0) # No adjustment\n",
      "                        (default) (default: (False, 0, 0))\n",
      "  --ModUnitsAdjust MODUNITSADJUST\n",
      "                        Factor to convert model sea ice concentration to\n",
      "                        decimal. For example: - (True, 'divide', 100.0) #\n",
      "                        percentage to decimal - (False, 0, 0) # No adjustment\n",
      "                        (default) (default: (False, 0, 0))\n",
      "  --AreaUnitsAdjust AREAUNITSADJUST\n",
      "                        Factor to convert area data to km^2. For example: -\n",
      "                        (True, 'multiply', 1e-6) # m^2 to km^2 - (False, 0, 0)\n",
      "                        # No adjustment (default) (default: (False, 0, 0))\n",
      "  --ObsAreaUnitsAdjust OBSAREAUNITSADJUST\n",
      "                        Factor to convert area data to km^2. For example: -\n",
      "                        (True, 'multiply', 1e-6) # m^2 to km^2 - (False, 0, 0)\n",
      "                        # No adjustment (default) (default: (False, 0, 0))\n",
      "  --plot PLOT           Option for generate individual plots for models: True\n",
      "                        (default) / False (default: True)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[WARNING] yaksa: 10 leaked handle pool objects\n"
     ]
    }
   ],
   "source": [
    "%%bash\n",
    "sea_ice_driver.py --help"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9bfa9c97",
   "metadata": {},
   "source": [
    "### 3.3 Running the PMP sea ice demo <a class=\"anchor\" id=\"run\"></a>\n",
    "The PMP drivers are run on the command line. In this Jupyter Notebook, we use the bash cell magic function %%bash to run command line functions from the notebook.\n",
    "\n",
    "The PMP sea ice metrics driver call follows the basic format:\n",
    "sea_ice_driver.py -p parameter_file.py --additional arguments\n",
    "\n",
    "The following cell runs the driver with the demo parameter file we saw above.\n",
    "\n",
    "Below process will take about 3 minutes."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a137d3c3",
   "metadata": {},
   "source": [
    "<div align=right>\n",
    "<a href=Demo_9_seaIceExtent_ivanova.ipynb#top>Go back to Top</a>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d6ff0052",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO::2024-04-25 10:44::pcmdi_metrics:: Results saved to a json file: /home/ordonez4/git/pcmdi_metrics/doc/jupyter/Demo/sea_ice_demo/ex1/sea_ice_metrics.json\n",
      "2024-04-25 10:44:38,110 [INFO]: base.py(write:251) >> Results saved to a json file: /home/ordonez4/git/pcmdi_metrics/doc/jupyter/Demo/sea_ice_demo/ex1/sea_ice_metrics.json\n",
      "2024-04-25 10:44:38,110 [INFO]: base.py(write:251) >> Results saved to a json file: /home/ordonez4/git/pcmdi_metrics/doc/jupyter/Demo/sea_ice_demo/ex1/sea_ice_metrics.json\n",
      "INFO::2024-04-25 10:44::pcmdi_metrics:: Results saved to a json file: /home/ordonez4/git/pcmdi_metrics/doc/jupyter/Demo/sea_ice_demo/ex1/sea_ice_data.json\n",
      "2024-04-25 10:44:51,616 [INFO]: base.py(write:251) >> Results saved to a json file: /home/ordonez4/git/pcmdi_metrics/doc/jupyter/Demo/sea_ice_demo/ex1/sea_ice_data.json\n",
      "2024-04-25 10:44:51,616 [INFO]: base.py(write:251) >> Results saved to a json file: /home/ordonez4/git/pcmdi_metrics/doc/jupyter/Demo/sea_ice_demo/ex1/sea_ice_data.json\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model list: ['E3SM-1-0']\n",
      "Find all realizations: False\n",
      "OBS: Arctic\n",
      "Converting units by  multiply 0.01\n",
      "OBS: Antarctic\n",
      "Converting units by  multiply 0.01\n",
      "Model list: ['E3SM-1-0']\n",
      "/p/user_pub/pmp/demo/sea-ice/links_area/E3SM-1-0/*.nc\n",
      "Converting units by  multiply 1e-06\n",
      "\n",
      "-----------------------\n",
      "model, run, variable: E3SM-1-0 r1i2p2f1 siconc\n",
      "test_data (model in this case) full_path:\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_185001-185912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_186001-186912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_187001-187912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_188001-188912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_189001-189912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_190001-190912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_191001-191912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_192001-192912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_193001-193912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_194001-194912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_195001-195912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_196001-196912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_197001-197912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_198001-198912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_199001-199912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_200001-200912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_201001-201112.nc\n",
      "Converting units by  multiply 0.01\n",
      "\n",
      "-------------------------------------------\n",
      "Calculating model regional average metrics \n",
      "for  E3SM-1-0\n",
      "--------------------------------------------\n",
      "arctic\n",
      "ca\n",
      "na\n",
      "np\n",
      "antarctic\n",
      "sp\n",
      "sa\n",
      "io\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[WARNING] yaksa: 10 leaked handle pool objects\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 39.6 ms, sys: 13 ms, total: 52.6 ms\n",
      "Wall time: 3min\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "%%bash\n",
    "sea_ice_driver.py -p sea_ice_param.py"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "084440aa",
   "metadata": {},
   "source": [
    "One of the primary outputs of the PMP is a JSON file containing the metrics values. In this case, the metrics are the mean square errors of the time mean and monthly mean ice extent. Ice extent is defined as the total area covered by sea ice concentration of >= 15%. The metrics are organized by model, realization, and reference dataset.\n",
    "\n",
    "The metrics JSON from this run is displayed below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9a46fb89",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "    \"DIMENSIONS\": {\n",
      "        \"index\": {\n",
      "            \"monthly_clim\": \"Monthly climatology of extent\",\n",
      "            \"total_extent\": \"Sum of ice coverage where concentration > 15%\"\n",
      "        },\n",
      "        \"json_structure\": [\n",
      "            \"region\",\n",
      "            \"realization\",\n",
      "            \"obs\",\n",
      "            \"index\",\n",
      "            \"statistic\"\n",
      "        ],\n",
      "        \"model\": [\n",
      "            \"E3SM-1-0\"\n",
      "        ],\n",
      "        \"region\": [\n",
      "            \"arctic\",\n",
      "            \"ca\",\n",
      "            \"na\",\n",
      "            \"np\",\n",
      "            \"antarctic\",\n",
      "            \"io\",\n",
      "            \"sa\",\n",
      "            \"sp\"\n",
      "        ],\n",
      "        \"statistic\": {\n",
      "            \"mse\": \"Mean Square Error (10^12 km^4)\"\n",
      "        }\n",
      "    },\n",
      "    \"RESULTS\": {\n",
      "        \"E3SM-1-0\": {\n",
      "            \"antarctic\": {\n",
      "                \"model_mean\": {\n",
      "                    \"OSI-SAF\": {\n",
      "                        \"monthly_clim\": {\n",
      "                            \"mse\": \"0.3224829985071201\"\n",
      "                        },\n",
      "                        \"total_extent\": {\n",
      "                            \"mse\": \"0.21094145964623673\"\n",
      "                        }\n",
      "                    }\n",
      "                },\n",
      "                \"r1i2p2f1\": {\n",
      "                    \"OSI-SAF\": {\n",
      "                        \"monthly_clim\": {\n",
      "                            \"mse\": \"0.3224829985071201\"\n",
      "                        },\n",
      "                        \"total_extent\": {\n",
      "                            \"mse\": \"0.21094145964623673\"\n",
      "                        }\n",
      "                    }\n",
      "                }\n",
      "            },\n",
      "            \"arctic\": {\n",
      "                \"model_mean\": {\n",
      "                    \"OSI-SAF\": {\n",
      "                        \"monthly_clim\": {\n",
      "                            \"mse\": \"1.2997445969100572\"\n",
      "                        },\n",
      "                        \"total_extent\": {\n",
      "                            \"mse\": \"2.030507158527881\"\n",
      "                        }\n",
      "                    }\n",
      "                },\n",
      "                \"r1i2p2f1\": {\n",
      "                    \"OSI-SAF\": {\n",
      "                        \"monthly_clim\": {\n",
      "                            \"mse\": \"1.2997445969100572\"\n",
      "                        },\n",
      "                        \"total_extent\": {\n",
      "                            \"mse\": \"2.030507158527881\"\n",
      "                        }\n",
      "                    }\n",
      "                }\n",
      "            },\n",
      "            \"ca\": {\n",
      "                \"model_mean\": {\n",
      "                    \"OSI-SAF\": {\n",
      "                        \"monthly_clim\": {\n",
      "                            \"mse\": \"0.05035142426809447\"\n",
      "                        },\n",
      "                        \"total_extent\": {\n",
      "                            \"mse\": \"4.1785016078305246e-05\"\n",
      "                        }\n",
      "                    }\n",
      "                },\n",
      "                \"r1i2p2f1\": {\n",
      "                    \"OSI-SAF\": {\n",
      "                        \"monthly_clim\": {\n",
      "                            \"mse\": \"0.05035142426809447\"\n",
      "                        },\n",
      "                        \"total_extent\": {\n",
      "                            \"mse\": \"4.1785016078305246e-05\"\n",
      "                        }\n",
      "                    }\n",
      "                }\n",
      "            },\n",
      "            \"io\": {\n",
      "                \"model_mean\": {\n",
      "                    \"OSI-SAF\": {\n",
      "                        \"monthly_clim\": {\n",
      "                            \"mse\": \"0.04058821765045104\"\n",
      "                        },\n",
      "                        \"total_extent\": {\n",
      "                            \"mse\": \"0.01237930945282938\"\n",
      "                        }\n",
      "                    }\n",
      "                },\n",
      "                \"r1i2p2f1\": {\n",
      "                    \"OSI-SAF\": {\n",
      "                        \"monthly_clim\": {\n",
      "                            \"mse\": \"0.04058821765045104\"\n",
      "                        },\n",
      "                        \"total_extent\": {\n",
      "                            \"mse\": \"0.01237930945282938\"\n",
      "                        }\n",
      "                    }\n",
      "                }\n",
      "            },\n",
      "            \"na\": {\n",
      "                \"model_mean\": {\n",
      "                    \"OSI-SAF\": {\n",
      "                        \"monthly_clim\": {\n",
      "                            \"mse\": \"0.5678330040810853\"\n",
      "                        },\n",
      "                        \"total_extent\": {\n",
      "                            \"mse\": \"0.9514249147235673\"\n",
      "                        }\n",
      "                    }\n",
      "                },\n",
      "                \"r1i2p2f1\": {\n",
      "                    \"OSI-SAF\": {\n",
      "                        \"monthly_clim\": {\n",
      "                            \"mse\": \"0.5678330040810853\"\n",
      "                        },\n",
      "                        \"total_extent\": {\n",
      "                            \"mse\": \"0.9514249147235673\"\n",
      "                        }\n",
      "                    }\n",
      "                }\n",
      "            },\n",
      "            \"np\": {\n",
      "                \"model_mean\": {\n",
      "                    \"OSI-SAF\": {\n",
      "                        \"monthly_clim\": {\n",
      "                            \"mse\": \"0.26983353803307286\"\n",
      "                        },\n",
      "                        \"total_extent\": {\n",
      "                            \"mse\": \"0.21846457619506263\"\n",
      "                        }\n",
      "                    }\n",
      "                },\n",
      "                \"r1i2p2f1\": {\n",
      "                    \"OSI-SAF\": {\n",
      "                        \"monthly_clim\": {\n",
      "                            \"mse\": \"0.26983353803307286\"\n",
      "                        },\n",
      "                        \"total_extent\": {\n",
      "                            \"mse\": \"0.21846457619506263\"\n",
      "                        }\n",
      "                    }\n",
      "                }\n",
      "            },\n",
      "            \"sa\": {\n",
      "                \"model_mean\": {\n",
      "                    \"OSI-SAF\": {\n",
      "                        \"monthly_clim\": {\n",
      "                            \"mse\": \"0.0823791567667957\"\n",
      "                        },\n",
      "                        \"total_extent\": {\n",
      "                            \"mse\": \"0.30289427422253834\"\n",
      "                        }\n",
      "                    }\n",
      "                },\n",
      "                \"r1i2p2f1\": {\n",
      "                    \"OSI-SAF\": {\n",
      "                        \"monthly_clim\": {\n",
      "                            \"mse\": \"0.0823791567667957\"\n",
      "                        },\n",
      "                        \"total_extent\": {\n",
      "                            \"mse\": \"0.30289427422253834\"\n",
      "                        }\n",
      "                    }\n",
      "                }\n",
      "            },\n",
      "            \"sp\": {\n",
      "                \"model_mean\": {\n",
      "                    \"OSI-SAF\": {\n",
      "                        \"monthly_clim\": {\n",
      "                            \"mse\": \"0.5695004447566266\"\n",
      "                        },\n",
      "                        \"total_extent\": {\n",
      "                            \"mse\": \"0.044574352751696585\"\n",
      "                        }\n",
      "                    }\n",
      "                },\n",
      "                \"r1i2p2f1\": {\n",
      "                    \"OSI-SAF\": {\n",
      "                        \"monthly_clim\": {\n",
      "                            \"mse\": \"0.5695004447566266\"\n",
      "                        },\n",
      "                        \"total_extent\": {\n",
      "                            \"mse\": \"0.044574352751696585\"\n",
      "                        }\n",
      "                    }\n",
      "                }\n",
      "            }\n",
      "        }\n",
      "    },\n",
      "    \"json_structure\": [\n",
      "        \"region\",\n",
      "        \"realization\",\n",
      "        \"obs\",\n",
      "        \"index\",\n",
      "        \"statistic\"\n",
      "    ],\n",
      "    \"json_version\": 3.0,\n",
      "    \"model_year_range\": {\n",
      "        \"E3SM-1-0\": [\n",
      "            \"1981\",\n",
      "            \"2010\"\n",
      "        ]\n",
      "    },\n",
      "    \"provenance\": {\n",
      "        \"commandLine\": \"/home/ordonez4/miniconda3/envs/pmp_si_test_2/bin/sea_ice_driver.py -p sea_ice_param.py\",\n",
      "        \"conda\": {\n",
      "            \"Platform\": \"linux-64\",\n",
      "            \"PythonVersion\": \"3.8.15.final.0\",\n",
      "            \"Version\": \"23.1.0\",\n",
      "            \"buildVersion\": \"not installed\"\n",
      "        },\n",
      "        \"date\": \"2024-04-25 10:44:23\",\n",
      "        \"openGL\": {\n",
      "            \"GLX\": {\n",
      "                \"client\": {},\n",
      "                \"server\": {}\n",
      "            }\n",
      "        },\n",
      "        \"osAccess\": false,\n",
      "        \"packages\": {\n",
      "            \"PMP\": \"v3.0.2-11-g06b151f\",\n",
      "            \"PMPObs\": \"See 'References' key below, for detailed obs provenance information.\",\n",
      "            \"blas\": \"0.3.27\",\n",
      "            \"cdat_info\": \"8.2.1\",\n",
      "            \"cdms\": \"3.1.5\",\n",
      "            \"cdp\": \"1.7.0\",\n",
      "            \"cdtime\": \"3.1.4\",\n",
      "            \"cdutil\": \"8.2.1\",\n",
      "            \"clapack\": null,\n",
      "            \"esmf\": \"0.8.5\",\n",
      "            \"esmpy\": \"8.6.0\",\n",
      "            \"genutil\": \"8.2.1\",\n",
      "            \"lapack\": \"3.9.0\",\n",
      "            \"matplotlib\": null,\n",
      "            \"mesalib\": null,\n",
      "            \"numpy\": \"1.23.5\",\n",
      "            \"python\": \"3.10.14\",\n",
      "            \"scipy\": \"1.13.0\",\n",
      "            \"uvcdat\": null,\n",
      "            \"vcs\": null,\n",
      "            \"vtk\": null,\n",
      "            \"xarray\": \"2024.3.0\",\n",
      "            \"xcdat\": \"0.7.0\"\n",
      "        },\n",
      "        \"platform\": {\n",
      "            \"Name\": \"gates.llnl.gov\",\n",
      "            \"OS\": \"Linux\",\n",
      "            \"Version\": \"3.10.0-1160.108.1.el7.x86_64\"\n",
      "        },\n",
      "        \"userId\": \"ordonez4\"\n",
      "    }\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "with open(\"sea_ice_demo/ex1/sea_ice_metrics.json\") as f:\n",
    "    print(f.read())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d74b6752",
   "metadata": {},
   "source": [
    "This driver also outputs a bar chart that visualizes the mean square error between the model and observations. Since there is only one model and one realization in this instance, the bar chart looks very simple. The red bar indicates the mean square error for the time mean ice extent, and the blue bar indicates the mean square error for the climatological ice extent."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c6dfa7a6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sea_ice_demo/ex1/MSE_bar_chart.png\r\n"
     ]
    }
   ],
   "source": [
    "!ls {\"sea_ice_demo/ex1/MSE_bar_chart.png\"}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d14e933a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "a = Image(\"sea_ice_demo/ex1/MSE_bar_chart.png\")\n",
    "display_png(a)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9b323ec",
   "metadata": {},
   "source": [
    "## 4. Working with multiple realizations  <a class=\"anchor\" id=\"multi\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c427a07",
   "metadata": {},
   "source": [
    "The sea ice driver can generate metrics based on an average of all available realizations. To do so, provide an asterisk \\* as the value to the --realization argument on the command line. Options passed on the command line will supercede arguments in the parameter file. \n",
    "\n",
    "In addition, we set the --case_id value to 'ex2' to save results in a new directory.\n",
    "\n",
    "Below process will take about 5 minutes."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d83f2294",
   "metadata": {},
   "source": [
    "<div align=right>\n",
    "<a href=Demo_9_seaIceExtent_ivanova.ipynb#top>Go back to Top</a>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "5f8174e1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model list: ['E3SM-1-0']\n",
      "Find all realizations: True\n",
      "OBS: Arctic\n",
      "Converting units by  multiply 0.01\n",
      "OBS: Antarctic\n",
      "Converting units by  multiply 0.01\n",
      "Model list: ['E3SM-1-0']\n",
      "\n",
      "=================================\n",
      "model, runs: E3SM-1-0 ['r1i2p2f1', 'r2i2p2f1', 'r3i2p2f1', 'r4i2p2f1']\n",
      "/p/user_pub/pmp/demo/sea-ice/links_area/E3SM-1-0/*.nc\n",
      "Converting units by  multiply 1e-06\n",
      "\n",
      "-----------------------\n",
      "model, run, variable: E3SM-1-0 r1i2p2f1 siconc\n",
      "test_data (model in this case) full_path:\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_185001-185912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_186001-186912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_187001-187912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_188001-188912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_189001-189912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_190001-190912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_191001-191912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_192001-192912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_193001-193912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_194001-194912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_195001-195912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_196001-196912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_197001-197912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_198001-198912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_199001-199912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_200001-200912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_201001-201112.nc\n",
      "Converting units by  multiply 0.01\n",
      "\n",
      "-----------------------\n",
      "model, run, variable: E3SM-1-0 r2i2p2f1 siconc\n",
      "test_data (model in this case) full_path:\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_185001-185912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_186001-186912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_187001-187912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_188001-188912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_189001-189912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_190001-190912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_191001-191912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_192001-192912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_193001-193912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_194001-194912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_195001-195912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_196001-196912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_197001-197912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_198001-198912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_199001-199912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_200001-200912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_201001-201312.nc\n",
      "Converting units by  multiply 0.01\n",
      "\n",
      "-----------------------\n",
      "model, run, variable: E3SM-1-0 r3i2p2f1 siconc\n",
      "test_data (model in this case) full_path:\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_185001-185912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_186001-186912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_187001-187912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_188001-188912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_189001-189912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_190001-190912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_191001-191912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_192001-192912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_193001-193912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_194001-194912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_195001-195912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_196001-196912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_197001-197912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_198001-198912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_199001-199912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_200001-200912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_201001-201412.nc\n",
      "Converting units by  multiply 0.01\n",
      "\n",
      "-----------------------\n",
      "model, run, variable: E3SM-1-0 r4i2p2f1 siconc\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO::2024-04-25 10:52::pcmdi_metrics:: Results saved to a json file: /home/ordonez4/git/pcmdi_metrics/doc/jupyter/Demo/sea_ice_demo/ex2/sea_ice_metrics.json\n",
      "2024-04-25 10:52:04,534 [INFO]: base.py(write:251) >> Results saved to a json file: /home/ordonez4/git/pcmdi_metrics/doc/jupyter/Demo/sea_ice_demo/ex2/sea_ice_metrics.json\n",
      "2024-04-25 10:52:04,534 [INFO]: base.py(write:251) >> Results saved to a json file: /home/ordonez4/git/pcmdi_metrics/doc/jupyter/Demo/sea_ice_demo/ex2/sea_ice_metrics.json\n",
      "INFO::2024-04-25 10:52::pcmdi_metrics:: Results saved to a json file: /home/ordonez4/git/pcmdi_metrics/doc/jupyter/Demo/sea_ice_demo/ex2/sea_ice_data.json\n",
      "2024-04-25 10:52:17,776 [INFO]: base.py(write:251) >> Results saved to a json file: /home/ordonez4/git/pcmdi_metrics/doc/jupyter/Demo/sea_ice_demo/ex2/sea_ice_data.json\n",
      "2024-04-25 10:52:17,776 [INFO]: base.py(write:251) >> Results saved to a json file: /home/ordonez4/git/pcmdi_metrics/doc/jupyter/Demo/sea_ice_demo/ex2/sea_ice_data.json\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "test_data (model in this case) full_path:\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_185001-185912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_186001-186912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_187001-187912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_188001-188912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_189001-189912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_190001-190912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_191001-191912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_192001-192912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_193001-193912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_194001-194912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_195001-195912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_196001-196912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_197001-197912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_198001-198912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_199001-199912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_200001-200912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_201001-201412.nc\n",
      "Converting units by  multiply 0.01\n",
      "\n",
      "-------------------------------------------\n",
      "Calculating model regional average metrics \n",
      "for  E3SM-1-0\n",
      "--------------------------------------------\n",
      "arctic\n",
      "ca\n",
      "na\n",
      "np\n",
      "antarctic\n",
      "sp\n",
      "sa\n",
      "io\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[WARNING] yaksa: 10 leaked handle pool objects\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 84.8 ms, sys: 31.3 ms, total: 116 ms\n",
      "Wall time: 7min 27s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "%%bash\n",
    "sea_ice_driver.py -p sea_ice_param.py --realization '*' --case_id \"ex2\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cadb1306",
   "metadata": {},
   "source": [
    "Since we have averaged four different realizations (E3SM-1-0: 'r1i2p2f1', 'r2i2p2f1', 'r3i2p2f1', 'r4i2p2f1'), the resulting statistics are different than seen in example 1. The bar chart now contains markers showing the overall spread among the realizations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d6cb5f07",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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/Rnl5udlv0cyZM0FEWLduXZ3tOjk51fn7T0hIaMrHwm4Rj3JvRoIg4LHHHsO///1vVFdXIywszOI5QwC4dOkSSktL4eDgYHF5UVERgNof1sGDB8PR0RFvvPEGwsLC4OzsjPz8fDz44IOoqqoye5+zszMcHR3N5mk0mgZ/OEw5OTnhgQcewAMPPAAAyMvLw9ixY/Hhhx/i8ccfR/fu3VFcXIwOHTrUeW+7du0atQ1Lvv32W0yePBkPPfQQnn/+ebRr1w4qlQoff/wxPv300zrrX3/+sLi4GKIo4v3338f7779vcRvGz7Qhbm5u9Y7+vVEdGppf37lUf39/eXljym5sXS5dugQA+Mc//oF//OMfFt/T0Ocxbdo07NixA6+88goiIiKg1WohCAKio6Pr/M3djJkzZ2LTpk34+eefMXr0aCQmJkKn05kl2cb+37hZxcXFUKlU8Pb2NpsvCALatWtX5zswFRQUBADIyclpcBtnz56ts9OmUCgQFRWFqKgoALWXnM2aNQtfffUVPv30UzzxxBMWyxoxYoTZJWgzZsyQxycAtX+rU6dOlcfv/Pnnnxg5ciReeuklzJkzB+7u7gBqR7Q7OjpizJgx8liBnj17IiQkBOvXr0dcXByUSqVZfRv7f4DdXpzQm1lsbCxeffVVrFmzBm+++Wa967Vt2xZeXl748ccfLS43XuaWmpqK8+fPY9euXWaXojRmEI81BAUFYe7cuVi0aBH+/PNPdO/eHV5eXrh48WKddS3Nc3R0tDggr6ioCG3btpVfb9y4ER06dMBXX31ldoRT32A+03UAwMPDA0qlEo888giefPJJi++xtBPSFNfXoaH5Xl5euHDhQp3558+fBwCzz6KhshtbF2N5S5YsMRtsZqpLly4W55eVlWHbtm1YtmyZ2WVVOp0OJSUlN1Wv640ePRr+/v5Yt24dRo8ejXXr1qF///7o1q2bWd0b83/jZnl5eUEURVy+fNksqRMRLl68iIiIiHrf6+fnh+7duyMlJQWVlZVwdnaus85vv/2GS5cuyQMF69OmTRssWbIEX331FTIzM+tdb+3ataioqJBfX/83cr3u3btjypQpWLVqFU6dOoV+/frh1KlT2LNnD4D/v1NyvZ9++gnR0dENls2aByf0ZhYQEIDnn38eJ06cwIwZM+pdb9y4cfjf//4Hg8GA/v3717ue8Ydao9GYzV+7dq11KvyXiooKCIIAFxeXOsuMXazGo8lhw4ZhxYoVOHLkiFm3+5dfflnnvSEhITh69KjZvFOnTuHkyZNmP1CCIMDBwcEsMV28eNHiKHdLnJ2dMWzYMBw6dAg9e/as9+iuuYwYMQKbN2/G+fPn5c8RAD777DM4OztjwIABVt1ely5d0LlzZxw5cgRvvfXWTb1XEAQQUZ2/uU8++QQGg8FsnnGdxh61G3e6Vq1ahd27d+PgwYN1/pYb+3+jPqZ1cnJykuePGDECK1aswMaNG/HMM8/I8zdt2oRr165hxIgRDZb70ksvYdq0afjHP/6Bjz76yGzZtWvX8PTTT8PZ2dms7AsXLljsbbn+/5Ql9e1wFRcXw9XV1eLf+IkTJ8zKNXaV//e//0WnTp3M1q2qqsKECRPw6aefckK3UZzQbcD1d4CyZMqUKfjiiy8QHR2NhQsXol+/flCr1SgoKMDOnTsxYcIETJw4EZGRkfDw8MD8+fOxbNkyqNVqfPHFFzhy5IhV63zy5EmMHj0aU6ZMwZAhQ+Dn54crV65g+/bt+M9//oOhQ4ciMjISALBo0SJ8+umnuO+++/DGG2/A19cXX3zxhfxjYuqRRx7B9OnT8cQTTyAmJgZnz57FihUr6nR7Gi/1euKJJzBp0iTk5+fj9ddfh5+fH7KyshrVhtWrV2PQoEEYPHgwHn/8cYSEhKCiogLZ2dn4/vvvLd4s43qlpaUWz7VrNBqEh4c3qh6WLFu2DNu2bcOwYcPw6quvwtPTE1988QW2b9+OFStWwM3N7ZbLrs/atWsxduxYjB49GrGxsQgICEBJSQmOHz+OjIwMfPPNNxbfp9VqERUVhXfeeQdt27ZFSEgIfv31VyQkJMjduEY9evQAAPznP/+Bq6srHB0d0aFDB3h5edVbr5kzZ+Ltt9/GtGnT4OTkhL///e9myxv7f6M+d999NwDg7bffxtixY6FUKtGzZ0+MGjUKo0ePxgsvvIDy8nIMHDgQR48exbJlyxAeHo5HHnmkwc9z6tSpyMjIwLvvvovc3FzMnDkTvr6+OHnyJFauXInTp0/jyy+/RMeOHeX3dO/eHSNGjMDYsWMRGhqK6upq7Nu3D++99x58fX0tjs24kZ07d2LhwoV4+OGHERkZCS8vLxQWFiIxMRE//vgjHn30UbRv3x6iKOKzzz5D165dMXv2bItl3X///di6dWudXgtmI5p3TF7rYzrKvSGWbiyj1+vp3XffpV69epGjoyO5uLjQXXfdRfPmzaOsrCx5vfT0dLrnnnvI2dmZvL29afbs2ZSRkVHn8qP6bgphHJXdkCtXrtAbb7xBw4cPp4CAAHJwcKA2bdpQ79696Y033qhzqdCxY8do1KhR5OjoSJ6enjRr1izasmVLnRHPkiTRihUrqGPHjuTo6Eh/+9vfKDU11eIo9+XLl1NISAhpNBrq2rUr/fe//7VYdwD05JNPWmxHTk4OzZw5kwICAkitVpO3tzdFRkbSG2+80WD7iRoe5R4QEFDn8zRevnV9GfWNVP7jjz/o/vvvJzc3N3JwcKBevXqZfX9E/3/E+TfffHPD+hrbC4Deeecdi8uPHDlCkydPJh8fH1Kr1dSuXTsaPnw4rVmzps42Tb+3goICiomJIQ8PD3J1daUxY8ZQZmamxasWVq1aRR06dCClUmn2N3n9KHdTkZGRBIAefvhhi8sb+3/DEp1OR7NnzyZvb28SBIEAyJdhVlVV0QsvvEDBwcGkVqvJz8+PHn/8cbpy5UqDZZpKTk6m6Oho8vLyIrVaTQEBAfTII4/Qn3/+WWfdtWvX0oMPPkgdO3YkZ2dncnBwoNDQUJo/fz7l5+ebrdvYUe75+fn08ssv08CBA6ldu3akUqnI1dWV+vfvT++//758idl3331HAGjVqlX1lmUc+f/ee+8REd9YxtYIRER3dA+Csb/s2rULw4YNw86dO+363ueMMXYn8GVrjDHGmB3ghM4YY4zZAe5yZ4wxxuwAH6EzxhhjdoATOmOMMWYHOKEzxhhjdoATOmOMMWYHOKEzxhhjdoATOmOMMWYHOKEzxhhjdsDmEvrTTz+NkJAQCILQ4KMCExIS0LlzZ4SGhmLu3LkQRfEO1pIxxhizLTaX0CdNmoQ9e/YgODi43nVycnLwyiuvYM+ePcjOzsbFixflx/4xxhhjrZHNJfSoqCi0b9++wXWSkpIwceJE+Pr6QhAEzJ8/H4mJiXeohowxxpjtaZHPQ8/LyzM7gg8JCUFeXl6D79HpdNDpdPJrSZJQUlICLy8vCIJw2+rKGGPMdhERKioq4O/vD4XC5o5xb0qLTOgAzJJwY25HHx8fj7i4uNtZJcYYYy1Ufn7+DXuHbV2LTOhBQUHIzc2VX589exZBQUENvmfJkiV49tln5ddlZWVyOR4eHjAYDAAApVJpFouiCEEQ5FihUEChUNQb6/V6KJVKOVapVBAEQY4BQBRFs1itVoOI5FiSJBgMBjmWJAkqlare2GAwgIjk2FI7uE3cJm4Tt8me2qTT6XDgwAEMGDBAPsC7lTaVlJSgQ4cOcHV1RUvXIhN6TEwMBg0ahFdffRU+Pj5Ys2YNpkyZ0uB7NBoNNBpNnfkeHh7QarW3q6qMMcZuA0mS0KtXL7i7u1ulq9weTr3aXEJ/8sknsWXLFly8eBEjR46Ei4sLsrOzMXv2bIwfPx7jx49Hx44dERcXh4EDB0KSJAwfPhyzZs1q7qozxlizMhgM0Ov1zV2NO8bLyws1NTU39R61Wg2lUnmbatS8Wu3z0MvLy+Hm5oaysjI+QmeMtXhXr15FQUFBo8YU2QMigk6ng0ajuamja0EQ0L59e7i4uACwr1xgc0fojDHGbo7BYEBBQQGcnZ3h7e1tF93HN2I8/248X9/Y91y+fBkFBQXo3Lmz3R2pc0JnjLEWTq/Xg4jg7e0NJyen5q6OTfP29kZubq48kM+etOyL7hhjjMnu9JF5ZGQk3nrrLauW+fHHHyMqKgqDBg3CQw89hKtXr1pcT5IklJWVQZIkAEBubi4mTZp0w/LtufeCj9AZY4zdtPz8fAQHB2PHjh1YunSpVcr8+eef8X//93/YuXMnlEolDh06VO+gN0EQ0KZNG7tO0DeLj9AZY8zOCELTpxtJSkrC9OnTERoaiuzsbADAa6+9hocffhhjxoxBVFQUKisrkZubi8jISMTExKBnz5745Zdf6i0zMTERL7zwgtwVHh4eDldXVwwaNEhe5+9//zvOnDmDAwcOYNiwYRg6dCjee+89s3IOHjyIYcOGYfDgwXj33Xdv4RNsmTihM9bCDR06FKtWrWrWOri4uOCPP/5o1jqwO2vHjh249957MXXqVHzzzTfy/C5duuDHH3/E4MGD5eRdXFyMr776Cps2bcJHH31Ub5kXLlyAv7+/2Ty1Wo3w8HAcPHgQ5eXlKCkpQceOHfHMM89g7dq12LlzJ5555hmz97zwwgv49ttvsXv3bvzf//0fLl26ZMWW2y5O6Iw1YM+ePRg7diw8PDzg7u6OXr16YcWKFTd97aslr732Gh544IGmV7IRrl27Bq1Wi/79+ze5rJCQEHz33Xdm865evYq77777pssSRRFLly5FSEgIXFxc4Ofnh3HjxqGioqLJ9bSFHR17VVBQgKNHj+L+++9HfHw8tm3bJi8LDw8HAAQGBuLKlSsAgB49ekClUpnNs8Tf3x/nzp2rM//RRx/Fxo0bsWnTJsTExAAAampq0KVLFwiCUOfGMn/88QcmTpyIoUOH4syZM8jPz29ym1sCTuiM1WPbtm0YO3YsRo8ejaysLJSWluKrr77CsWPHcOHChTtSB1EUrVLO119/DaVSiQMHDiAzM/OObLMxli9fjpSUFOzcuRNXr17FkSNH8OCDD96x7TfkTn4OLU1SUhJWr16NH3/8ESkpKbjrrrvkbndLz9lo7LM3pk6dihUrVsi3bD1y5AhKSkoQERGBo0eP4n//+x8mT54MoPbun4WFhRAEQR4YZ9SrVy9s2bIFu3btQkZGBvr27Wudhts4TuiMWUBEePrpp/HCCy9g0aJFaNu2LQDgrrvuwvr16+Wn/Z0+fRr3338/vL29ERwcjDfeeEP+cVm/fj169+6N119/HT4+PvD19ZWPGL/77ju89dZb2LZtG1xcXOSbXMTGxmLWrFmYPHkytFotPv74Yxw6dAiDBg2Cp6cnvL29MXXqVBQXF99UexISEvDYY48hKioKCQkJZsuGDh2KxYsX495770WbNm3www8/oLy8HAsWLEBQUBC0Wi0iIiKQn5+Phx56CHl5eZg6dSpcXFwwf/58ALU/2IcPH5bLTExMRK9evaDVahEcHIz169dbrNfevXsxYcIEdOjQAQDg4+ODmTNnmt1X+3//+x969uwJd3d3REREID09XV5WU1ODV199FaGhoXB1dcXdd9+NjIwMPPfcc9i9ezdeeOEFuLi4YOzYsQCAS5cuYfLkyfD29kZQUBBeeuklOXHv2rUL7u7u+PjjjxEUFIR77rnnpj7j1mTTpk0YMmSI/HrEiBFm3e6NsXz5cuTk5JjNGzlyJAYOHIihQ4di8ODBeOutt+Dg4AAAGDVqFJydneHp6QkAePfdd/HAAw9g2LBhdXpili9fjgcffBDDhg1DdHQ0qqurb6GVLRC1UmVlZQSAysrKmrsqzAadPHmSAFB2dna961RWVlJwcDD961//Ip1OR2fPnqXu3bvTJ598QkRE69atI5VKRStWrKCamhrauXMnKZVKucxly5bRhAkTzMqcMWMGOTk50Y8//kgGg4GuXbtGhw8fpt27d1NNTQ1dvHiRBg8eTLNnz5bfM2TIEFq5cmW99Txx4gQBoCNHjtCnn35KXl5epNPpzN7v7e1N+/btI0mSqLKykiZOnEijR4+mc+fOkcFgoIyMDLp8+TIREQUHB9PmzZvNtgGADh06REREW7duJU9PT9qxYwcZDAa6dOkSZWRkWKxbfHw8+fr60sqVK+nAgQOk1+vNlm/fvp0CAgLo999/J4PBQJs2bSJPT08qKioiIqJnnnmG+vbtS6dOnSJJkujEiROUm5tb7+cyfPhwmjZtGlVUVFBubi5169aN3nzzTSIi2rlzJykUCpo3bx5du3aNrl27Vu9namuqqqro2LFjVFVVRUREQNMnW7N8+XL69ttv5deSJJHBYCBJkm6qnOs/K3vKBTb4td0Z9vQlMuvbs2cPAZD/01vy9ddfU+/evc3m/ec//6Hhw4cTUW1C9/X1NVveqVMnSkpKIqL6E/r18663efNm6tSpk/z6Rgn9+eefl+tZXl5Ozs7O9PXXX5u9f+HChfLrixcvEgA6e/asxfJulNDHjBlDcXFxDbbByGAw0H//+18aPnw4tWnThtzc3OiFF14gURSJiCg6OppWrVpl9p7IyEj67LPPSJIkcnZ2pl9//dVi2dd/LgUFBQSALly4IM/74osvqHPnzkRUm9AB0JUrVxpVd1tyfZKyN3FxcXTvvfea7fBxQq+Lu9wZs8DYxW5pgI5Rbm4uMjMz4e7uLk/PPfccLl68KK/Trl07s/e0adPmhgO+rn8UcHZ2NiZMmAB/f39otVpMnz4dRUVFjWqHKIr47LPPMGPGDACAq6srJk6cWKfb3XSbZ8+ehUajueEjietz9uxZdO7cuVHrKhQKzJ49Gzt27EBpaSm+/PJLrFmzRq5fbm4uli5davYZHz58GOfOncPly5dRWVnZ6G0VFBTA0dHR7Dvp2LEjCgoK5Neurq5wd3dvfGPZHfHqq6/ip59+kh+/CtSeFisvL281965vDE7ojFkQFhaGkJAQ/O9//6t3ncDAQPTt2xelpaXyVF5ejj///LNR26jvkY/Xz58/fz4CAgJw7NgxlJeXY+PGjY3+Edu2bRsuXbqE119/He3atUO7du2wdetW/Pzzz8jLy7O4zeDgYOh0unpHBt/oUZXBwcHyAKmboVKpEB0djREjRsiXwAUGBuK9994z+4yvXbuGF198Ed7e3nB2dq53W9fXs3379qiurja7hCknJwft27dvdNuY7RAEAVqtlm8sY4L/ehmzQBAEvP/++1i+fDnef/99eRDaqVOnMGvWLJw9exbjxo3DpUuX8NFHH6G6uhoGgwEnT57Erl27GrUNX19fnD17Vh7RW5/y8nK4urpCq9UiPz8f77zzTqPbkZCQgPHjx+PPP//E4cOHcfjwYZw6dQqdOnWqd6Car68vJkyYgPnz5+PChQuQJAmHDh2SPwNfX1+cPn263m3OmzcPq1evxq+//gpJklBYWIhDhw5ZXHflypX45ZdfcPXqVRAR/u///g+7du1CZGQkAGDBggV455138Pvvv4OIUFlZiV9++QUFBQUQBAFz5szBc889h+zsbBARTp48ibNnz1qsZ0BAAIYNG4Z//OMfuHbtGvLy8vDWW2/JvReMtXSc0Bmrx7hx4/DDDz9g+/btCA0Nhbu7OyZNmoS77roLfn5+cHFxwS+//IIdO3YgJCQEXl5emDZtmlmXe0MeeughaLVatG3btsFu3n/961/Ytm0btFotJkyYIF+HeyPnz5/HDz/8gGeffVY+OjdOTz31FNatW1fvkf6GDRsQGBiIv/3tb3B3d8f8+fNRVVUFAFi6dCk++OADeHh44Iknnqjz3gceeAD/+te/8OSTT8LNzQ0RERH13nSmTZs2WLp0KQICAuDu7o45c+bg1VdfxdSpUwHUfgfLly/HnDlz4OHhgQ4dOmD16tXylQRvv/02RowYgZEjR0Kr1eKhhx5CSUkJAGDRokX45Zdf4O7ujnHjxgEAvvzyS1RVVSE4OBgDBw7Efffdh8WLFzfq82S2hbvc6+LnodvBM3AZY61bdXU1cnJy0KFDBzg6OjZ3dWza9Z+VPeUCmzxCz8rKQmRkJMLCwtCvXz8cO3aszjpEhOeffx7du3dHz549MWzYsFs6b8cYY+zWWPtpa+vXr0ebNm1w7do1AMD+/fshCILFmyEREQwGAx+hm7DJhD5v3jzMnTsXp06dwuLFizFr1qw662zduhVpaWk4fPgwjh49ihEjRljtiT+MMdai3YGns5g+bc2aunXrhh9++AFA7R3pIiIiLK5HRKioqOCEbsLmEnphYSEyMjIwffp0AEBMTAxycnKQm5tbZ12dTofq6mr5XIrpaFXGGGO3z+142hoATJgwAVu3bgUAHDt2DN26dQNQm8CfeuopDBs2DKNGjcL58+fh7u6ORx55BEOHDsWgQYPkKzf69OmD+fPno3///oiPj7+Nn4JtsbmEnp+fD39/f/l6Q0EQEBQUZHaJDQDcf//9GDZsGNq1awc/Pz/s2LED//znP+stV6fToby83GwCII8wNhgMFmNRFM1i42Cc+mK9Xm8WG/cejTER1YkBmMWSJJnFxltT1hcbDAazmNvEbeI2tc42Gd9jDcZyTMs0jXfs2IFRo0Zh6tSp+Prrr+X5YWFh+OGHHzB48GCkpKSAiFBcXIzExEQkJSXho48+kttPRHVid3d3VFVVIT09XX7QCxFh+/btcHd3R2pqKpYvX474+Hjo9Xr85z//wc6dO/H8889j7dq1ICKUlpZiyZIlSE9Ply89vb4dpt+NvbC5hA6gznWFlv5AMzIycOLECZw7dw7nz5/HiBEjsGDBgnrLjI+Ph5ubmzwFBgYCgHxu5vjx4zh+/DgA4OjRo8jKygIAHDp0SL7f8P79++Vrc9PT0+UHdKSlpck3+khNTUVpaSkAICUlRb6JSHJyMqqrqyGKIpKTkyGKIqqrq5GcnAwAqKioQEpKCgCgtLQUqampAICioiKkpaUBqH20oPE+1vn5+di/fz+A2mtpjZcFZWVl4ejRo9wmbhO3qRW16eDBgwBqdwquXr0Ka9DpdABqn9RnfLrg1atXodfrUVBQgCNHjshPW9u6dau8UxMWFgZJkhAYGIgLFy6AiNC9e3dUVlaiffv2uHLlinxAJUmS2cGV8Z7rI0aMwPz58xETEwNJklBZWYljx45h8+bNiIqKwrPPPouSkhKUl5fjhRdewKBBg/D666/j/PnzqK6uhpubm3w/BY1GAwCorKyU21RTUyN/N/v27bPK52UTbv0mc7fHpUuXSKvVyrf4kySJfH19KScnx2y9J598kt5++235dWZmJgUFBdVbbnV1NZWVlclTfn4+AaCSkhIiIhJFUb7dpGms1+vNYoPB0GBcU1NjFhtvS2iMJUmqExvbaYwNBoNZbPws6otFUTSLLbWD28Rt4jbZb5sqKiro2LFjVFlZWVueFW7mbqyXsR6m8cqVK2nTpk3y/Mcee4xOnTpFy5Ytoy1btpAkSfTxxx9TQkICnTlzhmJiYshgMFBlZSUNGTJEbr/x9q3GOCEhgd5//30qLCyUn1cwY8YMOnr0KG3ZsoXi4uLkbep0Ojpw4AA99NBDJEkSfffddzRjxgySJIn69u0rl9m/f3+zuldVVdGff/4p36u/uLiYb/1qiekzcW+Vj48PwsPDsXHjRgC1T/UJCQlBSEiI2XodO3bEjh075G6n77//Hj169Ki3XI1GA61WazYBgFKplP+1FKtUKrPYeCep+mK1Wm0WG3sbjLEgCHViAGaxQqEwi42nH+qLlUqlWcxt4jZxm1pnm4zvsQZjOaZlGuNNmzZh6NCh8vyRI0ciKSlJro9xfkPx8uXLkZubK38Wps819/b2xn//+1+zutx///0oKSnB8OHDMWzYMHz22Wfo1KkTLly4gHvvvVcenGfa/utj03aYfjf2osnXoY8aNQqCIICIcOrUKXTp0kXuFrpVJ0+eRGxsLIqLi6HVarFhwwZ0794ds2fPxvjx4zF+/HjodDosWLAAu3fvhoODA/z8/LB27do6ib8+9nTtIWOsdWuN16HTX6PcXV1db2onxp6vQ2/yrsmAAQPQt29fPPDAA3jmmWewcuXKJleqS5cu+O233+rM/+STT+RYo9GY7cExxhhrPYz3cmf/X5O73F9//XWIooilS5fKAycYY4yx24mIUFNTw9ehm7DKyYNJkyahd+/e8mhMxhhjd15rS246nU4eS9BY9vwZWW00QKdOnfD0009bqzjGGGONZBxEd/nyZXh7e7eaR4qq1Wr5UrTGICJcvnzZbIChPbHq8L7jx4/jzTffxJkzZ8wu1jde38kYY8z6lEol2rdvj4KCAot31bRH9Ne93JVK5U3twAiCgPbt28tXJtgTqyb0yZMn49FHH8XMmTPt8sNijDFb5eLigs6dO8uX8to7URTxxx9/4O67776pS8/UarXd5ierJnS1Wo3nn3/emkUyxhhrJNPr41uDe+65p7mrYFOsemOZMWPG4Mcff7RmkYwxxlgdBoMB2dnZ8i1nmZWP0EeMGIEJEyZAqVRCo9GAiCAIAgoLC625GcYYY60cEeHKlSuNvplYa2DVhD5v3jysX78effr0aVXdPowxxu4slUpV77PSWyurJnQvLy9MmjTJmkUyxhhjdRgMBmRlZaFz5858APkXq55DnzhxItasWYOSkhJUVlbKE2OMMWZtVVVVzV0Fm9Lkh7OYMj69BoD8wBZBEGxy0II93ZCfMcbYrbGnXGDVI3RJkuTJYDDI/zLGGGPWZDAYkJmZyTnGhFUTenV1dZ15ly9ftuYmGGOMMWaBVRP61KlTzV6XlpZizJgx1twEY4wxBqVSiR49evCAOBNWTehdunTBwoULAQBXr15FdHQ0Hn/8cWtugjHGGIPBYMChQ4e4y92EVRP68uXLcenSJbz99tuYMGECJk+ejNmzZ990OVlZWYiMjERYWBj69euHY8eO1Vln165dcHZ2Ru/eveWJRzwyxljr4eTk1NxVsClWuQ7d9NK0Dz/8EGPHjsWIESMwd+5cVFZWwtnZ+abKmzdvHubOnYvY2FgkJSVh1qxZ+O233+qs161bNxw8eLDJ9WeMMdayKJVK3HXXXc1dDZtilSN0FxcXuLq6wsXFBT4+Pjh48CDefvttef7NKCwsREZGBqZPnw4AiImJQU5OTqt5JCBjjLEbE0URBw4cMHtUd2tnlYR+/WVq11++djPy8/Ph7+8vPw5PEAQEBQUhLy+vzronT55Enz59EBERgY8++qjBcnU6HcrLy80mAHL9DAaDxVgURbNYkqQGY71ebxYbL/M3xkRUJwZgFkuSZBYb/2Driw0Gg1nMbeI2cZu4TfbeJkmS4ObmJt/rpCltshdWSejXrl2T4+Li4iaXd/3D6i3d+6ZPnz4oKChARkYGNm/ejDVr1uDrr7+ut8z4+Hi4ubnJU2BgIAAgMzMTAHD8+HEcP34cAHD06FFkZWUBAA4dOoScnBwAwP79+5Gfnw8ASE9Px4ULFwAAaWlpKCoqAgCkpqaitLQUAJCSkoKKigoAQHJyMqqrqyGKIpKTkyGKIqqrq5GcnAwAqKioQEpKCoDaqwNSU1MBAEVFRUhLSwMAXLhwAenp6QBqd3z2798PAMjJycGhQ4cA1I4/OHr0KLeJ28Rt4jbZdZvy8vJQVlYGpVLZpDbt27cP9qLJd4p76qmnkJeXh27duiE+Ph5PPPHEDY+WG1JYWIjOnTujuLgYKpUKRAQ/Pz/s3bu3wafqxMfH4/z583j//fctLtfpdNDpdPLr8vJyBAYGoqSkBB4eHvKem1KpNItFUYQgCHKsUCigUCjqjfV6PZRKpRyrVCoIgiDHQO0eoWmsVqtBRHJs7NkwxpIkQaVS1RsbDAYQkRxbage3idvEbeI22VObdDodDh48iP79+8sHgbfSppKSEnh5ednFneKanNAfeeQRfP755/jhhx9w4MABXLx4sUkJHQCGDh2K2NhYeVDcu+++i71795qtc+HCBfj6+kKhUKCiogJjxozBrFmzMHPmzEZtw55u98cYY62NJEnIz89HYGCg2W3Hb5Y95YImd7lrNBoAwNixY+Hn54ft27c3uVJr167F2rVrERYWhuXLlyMhIQEAMHv2bGzduhUAsGnTJtx9993o1asXBgwYgFGjRuGxxx5r8rYZY4zZPoVCgeDg4CYlc3vT5CP0tLQ0REVFya+//fZbPPjgg02u2O1mT3tljDHW2oiiiPT0dERGRspd+bfCnnJBk3dtTJM5AISHhze1SMYYY6xBCoUCoaGhfIRuwuqfxDvvvGPtIhljjDEzCoUCAQEBnNBNNPlOccHBwejSpQuA2svLTp482eRBcYwxxlhDRFGUT/k2pcvdnjT5Uxg1ahQ++eQT+TU/jIUxxtjtplAo0KNHDz5CN9HkQXGlpaVwd3e3UnXuHHsaCMEYY+zW2FMuaPKujWkyz8vLw549e7Bnzx6Lt2pljDHGrEGv1+Onn36SbxfLrPS0tRMnTmDmzJnIyclBUFAQiAj5+fno0KEDEhIS0LVrV2tshjHGGANQe/e3iIgIKJXK5q6KzbBKQo+NjcXzzz+PmJgYs/lJSUmYMWOGfO9dxhhjzBoUCgU8PT2buxo2xSqjCa5cuVInmQPApEmTUFZWZo1NMMYYYzK9Xo/t27dzl7sJqyT0tm3b4vPPP5cfRwfU3md3w4YN8PLyssYmGGOMMZlKpcLgwYP5kjUTVvkkNmzYgHnz5mHhwoXw9/eHIAgoKChAeHg41q9fb41NMMYYYzJBEFr8qHRrs0pC79SpE3bs2IHLly/Lz5gNDAyEt7e3NYpnjDHGzOj1eiQnJyM6Ohpqtbq5q2MTrNpX4e3tzUmcMcbYbadSqXDvvfdyl7uJ236LnbCwsNu9CcYYY60QJ3NzVvk0jh07Vu+yq1evWmMTjDHGmEwURe5yv45VEnqPHj0QEhICS3eRLSoquunysrKyMGPGDBQVFcHd3R3r169Ht27dzNZJTU3FkiVLUFFRAYVCgQkTJuCNN96AIAi33A7GGGMtg0qlQnR0NB+lm7DKJxEcHIw9e/bA39+/zrLAwMCbLm/evHmYO3cuYmNjkZSUhFmzZuG3334zW8fDwwOJiYno2LEjqqurMXLkSCQmJmLatGm33A7GGGMthyiKnNBNWOUc+vjx43HmzBmLyyZMmHBTZRUWFiIjIwPTp08HAMTExCAnJwe5ublm64WHh6Njx44AAEdHR/Tu3bveOjDGGLMvoigiJSUFoig2d1VshlUS+urVqzFo0CCLyz744IObKis/Px/+/v7yXpcgCAgKCmrwYS8XL15EUlISoqOj611Hp9OhvLzcbAIAg8Eg/2spFkXRLDbePKe+WK/Xm8XG0xDGmIjqxADMYkmSzGLjH2x9scFgMIu5TdwmbhO3yd7bpFAocN9990GtVje5TfbCJh8ke/158Iae8FpeXo77778fixcvRp8+fepdLz4+Hm5ubvJkPBWQmZkJADh+/DiOHz8OADh69CiysrIAAIcOHUJOTg4AYP/+/fJ19unp6bhw4QIAIC0tTR4rkJqaitLSUgBASkoKKioqAADJycmorq6WB3KIoojq6mokJycDACoqKpCSkgKg9pG0qampAGrHIKSlpQEALly4gPT0dAC1Oz7Ge+Tn5OTg0KFDAGrHHxw9epTbxG3iNnGb7L5N+/fvBxE1qU379u2DvWjy89CtrbCwEJ07d0ZxcTFUKhWICH5+fti7dy9CQkLM1q2oqMDo0aMxduxYvPLKKw2Wq9PpoNPp5Nfl5eUIDAxESUkJPDw85D03pVJpFouiCEEQ5FihUEChUNQb6/V6KJVKOVapVBAEQY4B8/M+oihCrVaDiORYkiQYDAY5liQJKpWq3thgMICI5NhSO7hN3CZuE7fJntpUXV2NX375BaNHj4ZCobjlNpWUlMDLy8sunoducwkdAIYOHYrY2Fh5UNy7776LvXv3mq1z9epVjB49Gvfeey+WLVt209uwp4faM8YYuzX2lAtssst97dq1WLt2LcLCwrB8+XIkJCQAAGbPno2tW7cCqD1vv3//fmzevBm9e/dG79698eabbzZntRljjN0hkiShpKTE7KFgrZ1NHqHfCfa0V8YYY62NXq9Hamoqhg8f3qQby9hTLuAL+BhjjLU4arUao0ePbu5q2BSb7HJnjDHGGiJJEgoLC7nL3QQndMYYYy2OJEnIzMzkhG6Cu9wZY4y1OCqVCsOHD2/uatgUPkJnjDHW4kiShHPnzvERuglO6IwxxlocSZJw+vRpTugmuMudMcZYi6NSqRAVFdXc1bApfITOmAXGe1EzxmyTJEk4e/YsH6Gb4ITO2HVWr14NrVaL1atXN3dVGGP14HPodXGXO2MmVq9ejUWLFgGA/O/ChQubr0KMMYtUKhUiIyObuxo2hY/QGfuLaTI3WrRoER+pM2aDDAYDsrOz5SeqMU7ojAGoPWd+fTI3WrRoEZ9TZ8zGEBGuXLmCVvo4Eou4y50xxliLo1KpEBER0dzVsCl8hM4YY6zFMRgMOHHiBHe5m+Aj9CYShOauAbMOVwATAWy2sGwitFrXO1wfZm3cM2t/qqqqmrsKNoWP0BkDAFQA+K6eZd/9tZy1ZDwOwr4olUqEh4dDqVQ2d1Vshk0m9KysLERGRiIsLAz9+vXDsWPHLK6XkJCAzp07IzQ0FHPnzoUoine4psx+uAJYWc+ylX8tZy0X31vA3hgMBmRmZnKXuwmbTOjz5s3D3LlzcerUKSxevBizZs2qs05OTg5eeeUV7NmzB9nZ2bh48SISEhKaobbMfiwEsOq6eav+ms9artUAFgHgyxCZfbO5hF5YWIiMjAxMnz4dABATE4OcnBzk5uaarZeUlISJEyfC19cXgiBg/vz5SExMbIYaM/tiTOoCOJnbg/+fzI04qdsHpVKJHj16cJe7CZsbFJefnw9/f3+oVLVVEwQBQUFByMvLQ0hIiLxeXl4egoOD5dchISHIy8urt1ydTgedTie/LisrAwBcuXIFAORuG6VSaRaLoghBEORYoVBAoVDIMaCARiOipkYBIgU0Gj1qapQgUsDRUQ+dTgUiAY6OelRX17bJ0VG8LlZDEAgajTGW4OBggE5njCXodCooFBJUKgk1NSoolRKUSmNsgEJB0OuNMaDXK6FS1bZDFJVQqw2QJMBgUEKtFiFJAgwGJRwcRBgMChgMCjg4iBBFBSSptbcpFkAMHB2dUF1dZidtssfv6UZtKkV19SIIggAHBwfodDo5XrRoER588EG0adMGKpUKkiRBkiSoVCoYDAYQkRxb+l24md+I62O9Xg+lUinHKpUKgiDIce3nJprFarUaRCTHkiTBYDDIsbHu9cX22Kaamhr8+eef6Nmzp/y7fittKikpAQC7uJ7d5hI6UJvETdX3QZuud6MvIz4+HnFxcXXmm+4k3CqT/QSzuLq68TGReWwsxzSWJKCmpjY2GGqnhmLTIQV6veXYWN71MbeJ22Q/bSJ5Z940DgoKAmNGFRUVcHNza+5qNInNJfTAwEAUFBTIe3NEhPz8/Dr/+YKCgsy64c+ePdvgf9AlS5bg2WeflV9LkoSSkhJ4eXnV2YFgjDFm28rLyxEYGIj8/HxotdpbLoeIUFFRAX9/fyvWrnnYXEL38fFBeHg4Nm7ciNjYWGzatAkhISF1jqRjYmIwaNAgvPrqq/Dx8cGaNWswZcqUesvVaDTQaDRm89zd3W9DCxhjjN0pWq22SQkdQIs/MjeyuUFxALB27VqsXbsWYWFhWL58uTx6ffbs2di6dSsAoGPHjoiLi8PAgQMRGhoKHx8fi6PhGWOMsdZAIHsYCcAYY6xVKS8vh5ubG8rKypp8hG4vbPIInTHGGGuIRqPBsmXL6pxKbc34CJ0xxhizA3yEzhhjjNkBTuiMMcaYHeCEzhhjjNkBTuiMMcaYHeCEzhhjjNkBTuiMMcaYHeCEzhhjjNkBTuiMMcaYHeCEzhhjjNkBTuiMMcaYHeCEzhhjjNkBTuiMMcaYHVA1dwWaiyRJOH/+PFxdXSEIQnNXhzHGWDMgIlRUVMDf3x8KRcs+xm21Cf38+fMIDAxs7mowxhizAfn5+Wjfvn1zV6NJWm1Cd3V1BVD7JWq12mauDWOMsZshiiL27duH/v37Q6W69VRWXl6OwMBAOSe0ZK02oRu72bVaLSd0xhhrYSRJQs+ePeHu7m6VrnJ7OPXaahM6Y4yxlkuhUCAgIKC5q2FTWvYIAMYYY62SKIpITU2FKIrNXRWbwQmdMcZYi6NQKNCjR48WPzLdmrjLnTHGWIujUCjg4+PT3NWwKbxrwxhjrMXR6/X46aefoNfrm7sqNoMTOmOMsRZHqVQiIiICSqWyuatiM7jLnTHGWIujUCjg6enZ3NWwKXyEzpgNCAkJwXfffdeit9G9e3ds27bttpXPmCm9Xo/t27dzl7sJTuiM1WPo0KFQKpU4evSoPK+0tBSCICA3N7dJ5a5atarpFQQwfPhwODk54cqVK7dtG5ZYKv/PP//EuHHjbqm89957D2FhYXB1dYW3tzdGjhzZpM/YKDY2FosWLWpyOcz2qFQqDB48uEl3ibM3nNAZa4CHhweWLFlilbKICAaDwSplAcCZM2ewa9cuODs744svvrBauXfaxo0b8f777+Pbb79FRUUFsrKyMHfuXJu4cxdf42y7BEGAVqu1ib8TW8EJnbEGPPHEE0hPT0daWprF5USE9957D6GhofD09MSYMWNw5swZeXlISAji4+MxYMAAODs7Y/Lkydi9ezdeeOEFuLi4YOzYsfK6p06dwoABA+Dq6oohQ4YgPz+/wbp9+umn6N27N5566ikkJCTI85977rl6t2GUl5eHUaNGwdvbGx4eHrjvvvvMjohjY2MxZ84cTJkyBa6urujSpQt27drVYPnXd+n//PPP6N+/P9zd3eHn54f4+HiL7di7dy9GjBiBHj16AADc3d0xefJkBAcHy+v88ssv6NevH9zd3dG9e3ds3bpVXiZJEv7973/jrrvugqurKzp37owff/wR//73v/HFF1/go48+gouLC7p37w4AqKiowNy5c+Hn5wc/Pz/Mnz8f165dAwDk5uZCEASsW7cOnTp14juR2TC9Xo8tW7Zwl7spaqXKysoIAJWVlTV3VZiNGjJkCK1cuZLeeustuueee4iI6MqVKwSAcnJyiIhow4YN5O/vT0ePHqWqqip69tlnqWvXrqTX64mIKDg4mMLCwujEiRMkiiLpdDq5XFPBwcHUvXt3On36NFVVVdHYsWNpxowZ9dZNFEUKCAig1atX0+nTp0kQBPr999/r1P36bWzevJmIiHJycig5OZmqqqqorKyMJk2aRCNHjpTXnTFjBrm4uNCOHTtIFEV6/fXXKTg4uNHlZ2RkkJOTEyUlJVFNTQ2VlpbSb7/9ZrEtiYmJ5OLiQm+88Qbt2bOHqqqqzJYfOXKE3N3daceOHWQwGGj37t2k1WrpxIkTRES0evVq6tChAx08eJAkSaKzZ8/SsWPH5HYsXLjQrLzHHnuMhg0bRkVFRXT58mUaMmQIzZkzR/5cANADDzxAV65coWvXrtX7HbDmJUkSVVZWkiRJTSrHnnIBH6EzdgOLFi3C2bNnLQ4o+/zzz/H000/j7rvvhqOjI9566y0UFBRg//798jqPP/44unTpAqVSCQcHh3q3s2DBAnTs2BGOjo54+OGH8fvvv9e77k8//YTCwkJMnToVHTt2xMCBA82O0m8kJCQEY8eOhaOjI7RaLV566SWkpaVBkiR5nfvuuw/Dhw+HUqnEY489hrNnz6K4uLhR5f/nP//BlClTEBMTA7VaDTc3NwwYMMDiulOmTMG6deuQnp6O++67D15eXpgzZ4581Lx27VrExsZi+PDhUCgUGDRoEMaNG4evv/4aAPDxxx/jtddeQ9++fSEIAoKCgtC1a1eL25IkCV9++SXi4+Ph5eWFtm3b4q233sJnn31m1vZly5bB3d0dzs7OjWovax58/twcJ3TGbsDJyQnLli3D0qVL65wDLygoQEhIiPxao9HA398fBQUF8rygoKBGbaddu3Zy3KZNG1RUVNS7bkJCAqKjo+Ht7Q0AmDFjBr788ktUVVU1aluXL1/GtGnTEBgYCK1Wi6ioKNTU1Jht8/r6AGiwTqbOnj2Lzp07N2pdAJg0aRK2b9+OK1eu4KeffkJKSgrefPNNALXd4GvWrIG7u7s8bdmyBefPn7/pbV2+fBk6nc7sO+vYsSN0Oh2KiorkeY39zljzEUURycnJPM7BBCd0xhph1qxZkCQJGzZsMJvfvn17s3PPNTU1OH/+PNq3by/Pu/5e00299/Tly5fx/fffY8eOHWjXrh3atWuHF198EaWlpfj2228btY0lS5agsrISGRkZKC8vl8cIEFGj6nCj8oODg5Gdnd2oskwJgoBBgwZh0qRJ+OOPPwAAgYGBWLhwIUpLS+Xp6tWr+Pjjj2+4revr6e3tDQcHB7PvLCcnBxqNBm3btm10+1jzU6lUiI6O5qN0E/xXy1gjKJVKvPnmm3jrrbfM5k+fPh0ffPABjh07Bp1Oh5dffhkBAQHo169fvWX5+vri9OnTt1yXzz77DJ6enjhx4gQOHz6Mw4cPIzMzE7GxsXK3+422UV5eDmdnZ7i7u6O4uBhxcXE3VYcblT9nzhwkJiZi8+bNEEURZWVl2Lt3r8V1161bhy1btqC0tBQAkJmZiS1btiAyMhIAMG/ePKxbtw47d+6EwWCATqfDb7/9huPHj8vL4+LicPjwYRAR8vLy5GW+vr5mgxQVCgWmTZuGl156CSUlJSguLsZLL72ERx55hJN4C8RH5+b4L5ixRoqJiUGnTp3M5j366KN46qmnMG7cOLRr1w5HjhzB999/3+BRw6JFi/DLL7/A3d39lq7bTkhIwOOPP46AgAD5CL1du3Z47rnnsGvXLpw+ffqG24iLi0N2djY8PDwwcOBAiyPhG3Kj8vv06YNNmzbhzTffhKenJ7p27Ypff/3VYlnu7u5477330LFjR7i6uuKBBx7A1KlTsXjxYgBAeHg4EhMT8fLLL8Pb2xsBAQF45ZVXoNPpAABPP/00Hn/8cUyePBmurq4YOXIk8vLyAACzZ8/GuXPn4OHhIY+iX716NUJCQtCtWzd0794dnTp1wr/+9a+baj9rfqIoIiUlhZO6CYEa28dmZ8rLy+Hm5oaysjJotdrmrg5j7DZavXo1nnnmGaxcuRILFy5s7uowG2JPuYCP0Bljdm316tVYtGgRiAiLFi3C6tWrm7tKzAqICOXl5Y0e99EacEJnjNktYzI3xUndPoiiiN27d3OXuwnucreDbhbGWF0VFRVwc3OzeAQnCALKysrg6uraDDVjtsSecgEfoTPG7JKrqytWrlxpcdnKlSs5mbdwkiShpKTE7IZArR0ndMaY3Vq4cGGdp8KtWrWKB8bZAYPBgAMHDlj1gUctnc0l9KeffhohISEQBAGZmZn1rpeQkIDOnTsjNDQUc+fO5fMojDGLjEldEARO5nZErVZj9OjRUKvVzV0Vm2HVhL5t27YmlzFp0iTs2bPH7ElL18vJycErr7yCPXv2IDs7GxcvXryp+1gzxlqXhQsXoqysjJO5HZEkCYWFhdzlbqLJCX3UqFG49957MWrUKDz55JO49957m1ReVFSU2W0zLUlKSsLEiRPh6+sLQRAwf/58JCYmNmm7jDH7xufM7YskScjMzOSEbqLJCX3AgAF44okn8PPPP+PBBx9ESkqKNerVoLy8PLMj+JCQEPnOUPXR6XQoLy83mwDI518MBoPFWBRFs9j4x1NfrNfrzWLjCFtjTER1YgBmsSRJZrHxdEJ9scFgMIu5TdwmblPdNlVUVNhdm+zxe2psmwRBQFRUFFQqVZPbZC+anNBff/11iKKIpUuXoqamxhp1ahRBEOS4MVfexcfHw83NTZ4CAwMBQD5Pf/z4cfn+z0ePHkVWVhYA4NChQ8jJyQEA7N+/H/n5+QCA9PR0XLhwAQCQlpYmP6kpNTVVvid1SkqK/HSq5ORkVFdXmz0hqLq6GsnJyQBqL7Ex7gyVlpYiNTUVAFBUVCQ/OOPChQtIT08HAOTn58uP6MzJycGhQ4cAAFlZWTh69Ci3idvEbTJp09atW+Hm5ob//ve/dtMme/yebqZNZ86cQXp6OiRJalKb9u3bB7thrQerZ2Vl0erVq61VHAUHB9Mff/xhcdmKFSvoiSeekF9v376dhgwZ0mB51dXVVFZWJk/5+fkEgEpKSoiISBRFEkWxTqzX681ig8HQYFxTU2MWS5JkFkuSVCcmIrPYYDCYxXq9vsFYFEWz2FI7uE3cptbaplWrVpGjoyMBIIVCIf9OteQ22eP3dLNtqq6upl27dsl1vdU2FRcXEwAqKyujls5mbywTEhKCbdu2yQ9UMHXmzBkMGjQIhw4dgo+PDyZMmIDo6GjMnz+/0eXb080EGGOWWbpTHMCXrrH/z55ygVUT+vHjx/Hmm2/izJkzZucljF0kjfHkk09iy5YtuHjxItq2bQsXFxdkZ2dj9uzZGD9+PMaPHw8A+O9//4u3334bkiRh+PDh+Pjjj2/q8gV7+hIZY3XxneLsmyRJyM/PR2BgYJMefWtPucCqCf3uu+/Go48+ir59+0KpVMrzhwwZYq1NWI09fYmMMcv4CN1+iaKI/fv3o1+/fg0+rvhG7CkX3PqnYIFarcbzzz9vzSIZY+yWGZO2aVLnZG4fVCoVIiMjm7saNsWqCX3MmDH48ccfMWbMGGsWy9idZ3IVBWvZjKl7EYBVABYuWgRYOGpnLYtBpULO8ePo0KGDWY9wa2bVhD5ixAhMmDABSqUSGo0GRARBEFBYWGjNzTDG2E3jXTT7QgoFrly5gpCQkOauis2wakKfN28e1q9fjz59+vAeE2PMJqxG7dE5TP7lDveWT1VTg4iIiOauhk2xakL38vLCpEmTrFkkY4zdMtNkbmR8zUm9ZTOoVMg6cQKdO3fmA8i/WPXhLBMnTsSaNWtQUlKCyspKeWKMsTutAsAz9Sx75q/lrAVTKFBVVdXctbApVr1szfRaQEEQ5HPotvi8Wnu6VIHdBjwozi5YOkIH/hocd0drwm4LK6Qve8oFVj1ClyRJngwGg/wvY4w1h4WoTd6mVoGTuT0wqNXIzMzkHGPCqgm9urq6zrzLly9bcxOMMXZTjEldACdzZt+smtCnTp1q9rq0tJSvSWeMNbuFAMrAydyeKPV69OjRgwfEmbBqQu/SpYt8B6arV68iOjoajz/+uDU3wRhjjMHg4IBDhw5xl7sJqyb05cuX49KlS3j77bcxYcIETJ48GbNnz7bmJhhj7KatBuD217/MTkgSnJycmrsWNsUqo9xNL02rqqrC2LFjMWLECLzyyisAAGdn56ZuwursaWQjuw14lLvduH6k+ypw17vd4FHuZqyS0BUKhdllaqZF8mVrrEXihG4X+LI1+yU6OODQnj0IDw/np639xSpd7tdfpnb95WuMMXan8Y1l7JsgSfDw8IDAO98yqyT0a9euyXFxcbE1imSMsSZxBbCynmUr/1rOWi6lKKJTp048yt1EkxP6U089hWnTpmHJkiUAIJ83Z4yx5sY3lrFfokaD9PR0iKLY3FWxGU1O6KWlpdiyZQuioqLwz3/+0xp1Yowxq+Eby9gnhcGAgIAAs1uOt3ZN/iQ0Gg0AYOzYsfDz88P27dubXCnGGLMmvrGM/VGIIoKDgzmhm2jy41MfffRROZ4zZw68vLyaWiRjjFkdnzO3L6JGg/S0NERGRjZplLs9afKuTVRUlNnr8PDwphbJGGOMNUghiggNDeUjdBNW/yTeeecdaxfJGGOMmeFz6HU1uZ8iODgYXbp0AQAQEU6ePImPPvqoyRVjjDHG6iM6OiItNRVRUVHc5f6XJn8Ko0aNwieffCK/5oexMHtwHoB/c1eCMVYvRU0NevTowUfoJpr8Sbz77rtmrz/++OOmFslYs3rwwQcRAODB5q4IY6xeCkmCj48PJ3QTTf4k3N3d5TgvLw979uzBnj17kJeXd8tlZmVlITIyEmFhYejXrx+OHTtWZ51du3bB2dkZvXv3lqeqqqpb3iZjQG0y37x5MwBgMzipM2ar9I6O+Omnn6DX65u7KjbDKiceTpw4gZkzZyInJwdBQUEgIuTn56NDhw5ISEhA165db6q8efPmYe7cuYiNjUVSUhJmzZqF3377rc563bp1w8GDB63RBMbMkrmRMal/2yw1YozVR1lTg4iICL71qymygv79+1NSUlKd+d988w1FRETcVFmXLl0iNzc30uv1REQkSRL5+vpSTk6O2Xo7d+6kvn373nKdy8rKCACVlZXdchlERLXP7+Op5U/nCEC907nmryBPPPF0/WQF1soFtsAqJx+uXLmCmJiYOvMnTZqEsrKymyorPz8f/v7+8qhFQRAQFBRksQv/5MmT6NOnDyIiIm44sl6n06G8vNxsAiA/Dc5gMFiMRVE0iyVJqhM7OopQKIyxXo6dnPRQKEiOBYEAEJyc9AAIgmCMAYXCNJbg6Gga196rWKmUoNHUxiqVaWyAg4NpXFtftdoAtbo2dnAwQKUyxqIcazQiVCpJjpXK1toml79iJ/npTU5OTgBq/waNMSkU0P8VSwoF9I6OciwaY6US4l93UJRUKjk2qFQQHRzk2GCM1WoY1Ora2MEBhr/+9kXTWKOBZBr/dVQiOjpC+uscot40dnICmcaCADLGAEgQ5HZwm7hNLbFN1a6u2LZtG/R6fb2/3439LbcXVknobdu2xeeffy5/QEDtI1U3bNhwS3eOu/5xeERUZ50+ffqgoKAAGRkZ2Lx5M9asWYOvv/663jLj4+Ph5uYmT4GBgQCAzMxMAMDx48dx/PhxAMDRo0eRlZUFADh06BBycnIAAPv370d+fj4AID09HRcuXAAArFiRhp49iwAAH3yQis6dSwEACQkpCAiofUhjYmIyPD2r4eQkIjExGU5OIjw9q5GYmAwACAioQEJCCgCgc+dSfPBBKgCgZ88irFiRBgDo3/8C4uLSAQBDh+bjxRf3AwCio3OwcOEhAMCkSVmYM+coAGD69OOYPr22TXPmHMWkSbVtWrjwEKKja9v04ov7MXRobZvi4tLRv39rbRMATERiYiI8PT3h5OSExMREODk5YZqnJ9ISEwEAFQEBSElIAACUdu6M1A8+AAAU9eyJtBUrAAAX+vdHelwcACB/6FDsf/FFAEBOdDQOLVwIAMiaNAlH58wBAByfPh3Hp08HABydMwdZkyYBAA4tXIic6GgAwP4XX0T+0KEAgPS4OFzo3x8AkLZiBYp69gQApH7wAUo7dwYApCQkoKK2UUhOTES1pydEJyckJyZCdHJCtacnkrlN3KYW3KaC4cPh6ekJlUqFrKwsHD1a+xtxs7/l+/btg92wxmF+VlYWDR8+nDw8PKh79+7Uo0cPcnd3p2HDhtHJkydvqqxLly6RVqu9YZf79d566y1asGBBvcurq6uprKxMnvLz8wkAlZSUEBGRKIokimKdWK/Xm8UGg8EsBogcHfWkUBjjGjl2cqohhUKSY0GQCJDIyamGAIkEwRgTKRSmsYEcHU1jPQFESqWBNJraWKUyjUVycDCNRQKI1GqR1Ora2MFBJJXKGOvlWKPRk0plkGOlsrW2qYwAgZycnEj4q9vBycmJAJBCEKjEyYkIIEmhoJq/YoNCQTWOjnKsN8ZKJek1mtpYpZJjUaUivYODHIvGWK0mUa2ujR0cSFSpiADSm8YaDRlMY6WyNnZ0JINCQQRQjWns5ESSaSwIJBljgCRBkNvBbeI2tdg2/ZUn6vv9bsxveXFxMQH20eVunZMQfyksLKTff/+dfv/9dyosLLzlcoYMGULr1q0jotrz8P3796+zzvnz5+UvpLy8nCIjIykhIaHR2+Bz6DzVnVYRUPf8+armrxhPPPF03VTj5ETfffcd1dTUNOk33J7OoQtERM3TN1C/kydPIjY2FsXFxdBqtdiwYQO6d++O2bNnY/z48Rg/fjw++OADfPzxx1CpVBBFEQ899BCWLVtWp7u+PuXl5XBzc0NZWRm0Wu0t17WRm2MtxmoAi+RXq8BP6GLMFpEgoPraNTg6Ojb6d98Sa+UCW3DbE3pYWBhOnTp1OzdxSzihs/qthoBFWAlO5ozZKgIg1tRApVJxQv+LVa5Dt3TjF6OrV69aYxOM3UELUYZF/LhNxmyY6OSE5ORkREdHQ/3XSP3WzioJvUePHggJCYGlg/2ioiJrbIKxO4qTOWO2TVVVhejoaH4wiwmrfBLBwcHYs2cP/P3rPs7CeHkYY4wxZjWCAFEUOaGbsMp16OPHj8eZM2csLpswYYI1NsEYY4zJREdHpKSk2NWNYZrKJke53wk8KI41hMBfLGM2zwrpy54GxfFz5xhjjLU4pFCgvLzc4tit1ooTOmOMsRZH1Giwe/du7nI3waMJGGOMtTjqqircd999zV0Nm8JH6IwxxlocSaFASUmJ2UPBWjtO6Iwxxlocg4MDDhw4ID8SlXGXO2OMsRZIXV2N0aNHN3c1bAofoTPGGGtxJIUChYWF3OVughM6Y4yxFkdycEBmZiYndBPc5c4YY6zFUVVXY/jw4c1dDZvCR+iMMcZaHEmpxLlz5/gI3QQndMYYYy2OpFLh9OnTnNBNcJc7Y4yxFkel0yEqKqq5q2FT+AidMcZYiyOpVDh79iwfoZvghM4YY6zF4XPodXGXO2OMsRZHpdMhMjKyuathU/gInTHGWItjUKmQnZ3Nt341wQmdMcZYi0MKBa5cucLPQzfBXe6MMcZaHFVNDSIiIpq7GjaFj9AZY4y1OAaVCidOnOAudxOc0BljjLU8CgWqqqqauxY2hbvcGWOMtTjKmhqEh4c3dzVsik0eoWdlZSEyMhJhYWHo168fjh07ZnG9hIQEdO7cGaGhoZg7dy5EUbzDNWWMMdYcDGo1MjMzucvdhE0m9Hnz5mHu3Lk4deoUFi9ejFmzZtVZJycnB6+88gr27NmD7OxsXLx4EQkJCc1QW8YYY6z52VxCLywsREZGBqZPnw4AiImJQU5ODnJzc83WS0pKwsSJE+Hr6wtBEDB//nwkJiY2Q40ZY4zdaUq9Hj169IBSqWzuqtgMmzuHnp+fD39/f6hUtVUTBAFBQUHIy8tDSEiIvF5eXh6Cg4Pl1yEhIcjLy6u3XJ1OB51OJ78uKysDAFy5cgUA5G4bpVJpFouiCEEQ5FihUEChUMgxoIBGI6KmRgEiBTQaPWpqlCBSwNFRD51OBSIBjo56VFfXtsnRUbwuVkMQCBqNMZbg4GCATmeMJeh0KigUElQqCTU1KiiVEpRKY2yAQkHQ640xoNcroVLVtkMUlVCrDZAkwGBQQq0WIUkCDAYlHBxEGAwKGAwKODiIEEUFJInbVAZAdHSEqrq6dnuOjlBXV4MEAaJGA3V1NSRBgMHBAWqdDpIgQHJwgEqng6RQQFKpoKqpgaRUQlIqoaqpgUGpBCkUUOn1MCiVgEIBpV4Pw19/60pRhEGtBiQJSoMBoloNwRg7OEBhMEBhjEURCkmCqNFAUVMDBRH0Gg2UxtjRESqdDoIxNmkHt4nbZA9tqnFywp+//oqePXvKv+vX/3435re8pKQEAOzienabS+hAbRI3Vd8Hbbrejb6M+Ph4xMXF1ZlvupNwq0z2E8ziv/52GxUTmcfGckxjSQJqampjg6F2aig2HVKg11uOjeVdH7f2NrnbY6O4Tdwme2pTVRUwdCispaKiAm5ublYrrznYXEIPDAxEQUEBRFGESqUCESE/Px9BQUFm6wUFBZl1w589e7bOOqaWLFmCZ599Vn4tSRJKSkrg5eVVZweCMcaYbSsvL0dgYCDy8/Oh1WpvuRwiQkVFBfz9/a1Yu+Zhcwndx8cH4eHh2LhxI2JjY7Fp0yaEhITUOZKOiYnBoEGD8Oqrr8LHxwdr1qzBlClT6i1Xo9FAo9GYzXN3d78NLWCMMXanaLXaJiV0AC3+yNzI5gbFAcDatWuxdu1ahIWFYfny5fLo9dmzZ2Pr1q0AgI4dOyIuLg4DBw5EaGgofHx8LI6GZ4wxxloDgexhJABjjLFWpby8HG5ubigrK2vyEbq9sMkjdMYYY6whGo0Gy5Ytq3MqtTXjI3TGGGPMDvAROmOMMWYHOKEzxhhjdoATOmOMMWYHOKEzxhhjdoATOmOMMWYHOKEzxhhjdoATOmOMMWYHOKEzxhhjdoATOmOMMWYHbC6hP/300wgJCYEgCMjMzKx3vYSEBHTu3BmhoaGYO3cuRNPn+jLGGGOtjM0l9EmTJmHPnj0IDg6ud52cnBy88sor2LNnD7Kzs3Hx4kX5iWyMMcZYa2RzCT0qKgrt27dvcJ2kpCRMnDgRvr6+EAQB8+fPR2Ji4h2qIWOMMWZ7VM1dgVuRl5dndgQfEhKCvLy8Bt+j0+mg0+nk15IkoaSkBF5eXhAE4bbVlTHGmO0iIlRUVMDf3x8Khc0d496UFpnQAZgl4cY8MC4+Ph5xcXG3s0qMMcZaqPz8/Bv2Dtu6FpnQg4KCkJubK78+e/YsgoKCGnzPkiVL8Oyzz8qvy8rK5HI8PDxgMBgAAEql0iwWRRGCIMixQqGAQqGoN9br9VAqlXKsUqkgCIIcA4AoimaxWq0GEcmxJEkwGAxyLEkSVCpVvbHBYAARybGldnCbuE3cJm6TPbVJp9PhwIEDGDBggHyAdyttKikpQYcOHeDq6oqWrkUm9JiYGAwaNAivvvoqfHx8sGbNGkyZMqXB92g0Gmg0mjrzPTw8oNVqb1dVGWOM3QaSJKFXr15wd3e3Sle5PZx6tbkTBk8++STat2+PgoICjBw5Ep06dQIAzJ49G1u3bgUAdOzYEXFxcRg4cCBCQ0Ph4+ODWbNmNWe1GWOM3UEKhQIBAQEt/ry3NQnUmBPQdqi8vBxubm4oKyvjI3TGGGthRFFEWloaoqKi5K78W2FPuYB3bRhjjLU4CoUCPXr04CN0Ey3yHDpjjLHWTaFQwMfHp7mrYVN414YxxliLo9fr8dNPP0Gv1zd3VWwGJ3TGGGMtjlKpREREBJRKZXNXxWZwQmfMBoSEhOC7775r1jrs3r3b7MYa1dXVmDhxItzd3dGvX786yxlrTgqFAp6ennwO3QR/EozVY+jQoVAqlTh69Kg8r7S0FIIgmN3Y6FbKXbVqVZPqFhISAicnJ7i4uKBt27aIjo5GVlZWk8ocPHgwCgoK5NebNm3CyZMncenSJezfv7/O8ptx4cIFTJs2De3atYOrqys6duyIZ555pkn1NRIEAYcPH7ZKWazl0Ov12L59O3e5m+CEzlgDPDw8sGTJEquURUTynausITExEVevXsWZM2fg6uqKGTNmWK1soPaphmFhYRZvyHSzHnnkETg6OuLEiRMoKyvDzz//jN69eze9klbAj15umVQqFQYPHtykS9bsDSd0xhrwxBNPID09HWlpaRaXExHee+89hIaGwtPTE2PGjMGZM2fk5SEhIYiPj8eAAQPg7OyMyZMnY/fu3XjhhRfg4uKCsWPHyuueOnUKAwYMgKurK4YMGYL8/PxG1VGr1eKRRx7BH3/8AQBYvHgxgoOD4erqim7duuGbb74xW//333/H8OHD4enpCW9vbzz11FMAgF27dsHd3R0A8Nxzz+Gf//wntm3bBhcXFyxbtsxsOQDU1NTg1VdfRWhoKFxdXXH33XcjIyPDYh337t2Lxx57TL6rV2hoqNkOiF6vl8vy8vLC+PHjcf78eXn5xYsXMX36dPj7+8Pd3R1RUVGoqqpCv379AACRkZFwcXHBW2+9BQA4ePAgBg4cCHd3d3Tr1s3saYyvvfYaxo0bh8cffxyenp544YUXGvU5M9siCAK0Wq1d3OHNaqiVKisrIwBUVlbW3FVhNmrIkCG0cuVKeuutt+iee+4hIqIrV64QAMrJySEiog0bNpC/vz8dPXqUqqqq6Nlnn6WuXbuSXq8nIqLg4GAKCwujEydOkCiKpNPp5HJNBQcHU/fu3en06dNUVVVFY8eOpRkzZtRbt+DgYNq8ebNcp4ceeoiioqKIiGjjxo106dIlEkWREhMTSaPR0JkzZ4iIqKCggLRaLX344YdUVVVF165do7S0NCIi2rlzJ7m5ucnbWLZsGU2YMEF+ff3yZ555hvr27UunTp0iSZLoxIkTlJuba7G+o0ePpj59+tCGDRvo5MmTdZY///zzNHz4cDp//jzpdDp67rnnaPDgwUREZDAYKCIigmbMmEElJSWk1+tp9+7dVF1dTUREAOjQoUNyWVeuXCEvLy/697//TTU1NbRr1y5q06YN7dmzR26XUqmkdevWkV6vp2vXrtX7OTPbVVNTQ9999x3V1NQ0qRx7ygWc0O3gS2S3hzHxVlZWkr+/P23evLlOQh85ciQtX75cfk91dTW5urrS//3f/xFRbeK9PnnXl9A//vhj+fXGjRupR48e9dYtODiYnJ2dyd3dnfz9/SkmJqbeZNqrVy/auHEjEREtX76chg0bZnG9m0nokiSRs7Mz/frrr/XW0VRZWRktW7aMwsPDSaVSUVBQEH3xxRdyWW3atKHDhw/L61dVVZFCoaC8vDzau3cvtWnThiorKy2WfX1C37hxI911111m68yZM4fmzJkjt6tXr16NqjezXZIkUWVlJUmS1KRy7CkXcJc7Yzfg5OSEZcuWYenSpXXOgRcUFCAkJER+rdFo4O/vbzZ47EZPAjRq166dHLdp0wYVFRUNrv/FF1/gypUrOHfuHJKSkhAcHAwAWLlyJbp37w43Nze4u7sjMzMTRUVFAGqfTNi5c+dG1achly9fRmVlZaPL0mq1eO2115CRkYErV67g6aefxqOPPorjx4+jqKgI165dQ1RUFNzd3eHu7o527drBwcEB+fn5OHv2LAICAuDk5NSobV3/nQC1z3+4le+E2TY+f26OEzpjjTBr1ixIkoQNGzaYzW/fvr3ZiPeamhqcP3/e7PKu6y+ruZ2X2ezZswevvfYaPvvsM1y5cgWlpaXo0aMH6K9HNgQHByM7O7vJ2/H29oazs/MtleXi4oLnnnsObm5uOHbsGLy8vODs7Ix9+/ahtLRUnqqqqhAZGYng4GCcO3cOVVVVFsu7/hzq9d8JUDvAr6HvhLU8oigiOTmZBzWa4L9qxhpBqVTizTfflAddGU2fPh0ffPABjh07Bp1Oh5dffhkBAQHyYC1LfH19cfr06dtSz/LycqhUKnh7e0OSJHz66afIzMyUlz/88MPYv38/1qxZA51Oh8rKSuzevfumtyMIAubMmYPnnnsO2dnZICKcPHkSZ8+etbj+888/j8OHD6OmpgY1NTX45JNPcO3aNfTt2xcKhQLz58/Hc889Jw8ELC4uxldffQUAiIiIQJcuXfDkk0+itLQUoihiz5490Ol0AOp+ntHR0SgsLMRHH30EURSxe/dufPnll3j00Udvup3MdqlUKkRHR/NRuglO6Iw1UkxMjPw4X6NHH30UTz31FMaNG4d27drhyJEj+P777xv8kVm0aBF++eUXuLu7Y9y4cVat45gxYxATE4O7774b/v7++PPPPzFw4EB5efv27fHLL7/gyy+/hK+vL0JCQpCUlHRL23r77bcxYsQIjBw5ElqtFg899BBKSkosrqvT6TBlyhR4eXmhXbt2WLduHbZs2SJ3jcfHx+Oee+7B8OHD4erqir59+yIlJQVA7dH0999/j8rKSnTp0gVt27bFyy+/DEmSAACvv/46nn76aXh4eGD58uXw8PDADz/8gI0bN8LLywtz587Fxx9/jEGDBt1SO5nt4qNzc/z4VDt4ZB5jjLU2er0eycnJiI6OhlqtvuVy7CkX2OQRelZWFiIjIxEWFoZ+/frh2LFjddYhIjz//PPo3r07evbsiWHDhlnl3CBjjDHbp1arMWHChCYlc3tjkwl93rx5mDt3Lk6dOoXFixdj1qxZddbZunUr0tLScPjwYRw9ehQjRozA0qVLm6G2jDHG7jQiQnl5OVppJ7NFNpfQCwsLkZGRgenTpwOoPW+Zk5Nj8d7ZOp0O1dXV8hfLD45gjLHWwTjgkc+j/382l9Dz8/Ph7+8vDyoSBAFBQUHIy8szW+/+++/HsGHD0K5dO/j5+WHHjh345z//WW+5Op0O5eXlZhMA+bpig8FgMRZF0Sw2DsSpL9br9Waxce/RGBNRnRiAWSxJklls/IOtLzYYDGYxt4nbxG3iNtl7mxQKBUaPHg21Wt3kNtkLm0voQN3rSi11qWRkZODEiRM4d+4czp8/jxEjRmDBggX1lhkfHw83Nzd5CgwMBAD5kp7jx4/j+PHjAICjR4/KT646dOgQcnJyAAD79++XL6tJT0/HhQsXAABpaWnyjTtSU1NRWloKAEhJSZFvDpKcnIzq6mqzayerq6uRnJwMAKioqJBH9ZaWliI1NRUAUFRUJN9H/MKFC0hPTwdQu+Ozf/9+ALXX2B46dAhA7fgD49PBuE3cJm4Tt8le23TmzBns27cPkiQ1qU379u2DvbC5Ue6FhYXo3LkziouLoVKpQETw8/PD3r17ze7+tGDBAgQFBWHx4sUAgD///BPR0dH1Xger0+nk61aB2pGNgYGBKCkpgYeHh7znplQqzWJRFCEIghwrFAooFIp6Y71eD6VSKccqlQqCIMgxULtHaBqr1WoQkRxLkgSDwSDHkiRBpVLVGxsMBhCRHFtqB7eJ28Rt4jbZU5uqq6uxa9cujBgxQr5R0K20qaSkBF5eXnYxyt2qCX3btm1Wua526NChiI2NRWxsLJKSkvDuu+9i7969Zuv861//wk8//YRt27ZBrVZj+fLl2L17N7Zv396obdjTpQqMMcZujT3lgiYn9FGjRkEQBBARTp06hS5dushdKLfq5MmTiI2NRXFxMbRaLTZs2IDu3btj9uzZGD9+PMaPHw+dTocFCxZg9+7dcHBwgJ+fH9auXVvnHs71sacvkTHGWhtJklBUVIS2bds26Va+9pQLmpzQX3nlFfTt2xcPPPAAnnnmGaxcudJadbut7OlLZIyx1kYURaSlpSEqKqpJt3+1p1zQ5EFxr7/+OkRRxNKlS1FTU2ONOjHGGGMNUqlUGD58ON/L3YRVRrlPmjQJM2fORJcuXaxRHGOMMdYgSZJw7tw5+fIzZsXL1jp16oSnn37aWsUxxhhj9ZIkCadPn+aEbsKqfRXHjx/Hm2++iTNnzphdrG+8bpAxxhizBpVKhaioqOauhk2xakKfPHkyHn30UcycORNKpdKaRTPGGGMySZKQn5+PwMDAJo1ytydWTehqtRrPP/+8NYtkjDHG6jCeQw8ICOCE/herfgpjxozBjz/+aM0iGWOMsTpUKhUiIyN5lLsJq34SI0aMwIQJE6BUKqHRaEBEEAQBhYWF1twMY4yxVs5gMCAnJwcdOnTgU7x/sWpCnzdvHtavX48+ffrwB8wYY+y2ISJcuXKl0XcHbQ2smtC9vLwwadIkaxbJGGOM1aFSqRAREdHc1bApVj2HPnHiRKxZswYlJSWorKyUJ8YYY8yaDAYDTpw4IT9RjVn5aWumIw2ND2wRBMEmP3B7un8vY4y1NgaDAUePHkXPnj2bdIrXnnKBVbvc+Y49jDHG7gSlUonw8PDmroZNsWqXe3V1dZ15ly9ftuYmGGOMMRgMBmRmZtpkD3BzsWpCnzp1qtnr0tJSjBkzxpqbYIwxxpgFVk3oXbp0wcKFCwEAV69eRXR0NB5//HFrboIxxhiDUqlEjx49+BJpE1ZN6MuXL8elS5fw9ttvY8KECZg8eTJmz5590+VkZWUhMjISYWFh6NevH44dO1ZnnV27dsHZ2Rm9e/eWp6qqKms0gzHGmI0zGAw4dOgQd7mbsMqgONNL0z788EOMHTsWI0aMwNy5c1FZWQlnZ+ebKm/evHmYO3cuYmNjkZSUhFmzZuG3336rs163bt1w8ODBJtefMcZYy+Pk5NTcVbApVrlsTaFQmF2mZlrkzV62VlhYiLCwMBQVFUGlUoGI4Ofnh71795rdEWjXrl34xz/+ccsJ3Z4uVWCMMXZr7CkXWKXLXZIkGAwGs3+N0812h+Tn58Pf31++4b4gCAgKCkJeXl6ddU+ePIk+ffogIiICH330UYPl6nQ6lJeXm00A5PoZDAaLsSiKZrHx0rz6Yr1ebxYbd26MMRHViQGYxZIkmcXGZ8vXFxsMBrOY28Rt4jZxm+y9TTqdDvv27ZPr2pQ22QurJPRr167JcXFxcZPLEwTB7LWlToQ+ffqgoKAAGRkZ2Lx5M9asWYOvv/663jLj4+Ph5uYmT4GBgQCAzMxMAMDx48dx/PhxAMDRo0eRlZUFADh06BBycnIAAPv370d+fj4AID09HRcuXAAApKWloaioCACQmpqK0tJSAEBKSgoqKioAAMnJyaiuroYoikhOToYoiqiurkZycjIAoKKiAikpKQBqrw5ITU0FABQVFSEtLQ0AcOHCBaSnpwOo3fHZv38/ACAnJweHDh0CUDv+4OjRo9wmbhO3idtk123Ky8tDZWUlBEFoUpv27dsHe9HkLvennnoKeXl56NatG+Lj4/HEE0/c8Gi5IYWFhejcuTOKi4sb7HK/Xnx8PM6fP4/333/f4nKdTgedTie/Li8vR2BgIEpKSuDh4SHvuSmVSrNYFEUIgiDHCoUCCoWi3liv10OpVMqxSqWCIAhyDNTuEZrGarUaRCTHxp4NYyxJElQqVb2xwWAAEcmxpXZwm7hN3CZuE7epbptKSkrg5eVlF13uTU7ojzzyCD7//HP88MMPOHDgAC5evNikhA4AQ4cORWxsrDwo7t1338XevXvN1rlw4QJ8fX2hUChQUVGBMWPGYNasWZg5c2ajtmFP500YY6y1EUUR+/fvR79+/Zr0THR7ygVN7nLXaDQAgLFjx8LPzw/bt29vcqXWrl2LtWvXIiwsDMuXL0dCQgIAYPbs2di6dSsAYNOmTbj77rvRq1cvDBgwAKNGjcJjjz3W5G0zxhizfQqFAgEBAWbPEGntmnyEnpaWhqioKPn1t99+iwcffLDJFbvd7GmvjDHG2K2xp1zQ5F0b02QOgG+Wzxhj7LYTRRFpaWl2NUq9qazeV/HOO+9Yu0jGGGPMjEKhQGhoKHe5m2jyneKCg4PRpUsXALWXl508ebLJg+IYY4yxhhjPobP/r8kJfdSoUfjkk0/k1/wwFsYYY7ebscs9KiqqSaPc7UmTB8WVlpbC3d3dStW5c+xpIARjjLU2kiShqKgIbdu2bVK3uz3lgibv1pgm87y8PPkWrUFBQQgKCmpq8YwxxlgdCoUCPj4+zV0Nm2KVfooTJ05g5syZyMnJQVBQEIgI+fn56NChAxISEtC1a1drbIYxxhgDUHuf+NTUVAwfPhxqtbq5q2MTrJLQY2Nj8fzzzyMmJsZsflJSEmbMmCHfe5cxxhizBqVSiYiICCiVyuauis2wynj/K1eu1EnmADBp0iSUlZVZYxOMMcaYTKFQwNPTky9bM2GVT6Jt27b4/PPP5cfRAbUDFjZs2AAvLy9rbIIxxhiT6fV6bN++XX7kKrNSl/uGDRswb948LFy4EP7+/hAEAQUFBQgPD8f69eutsQnGGGNMplKpMHjwYL5kzUSTL1szdfnyZfkZs4GBgfD29rZW0VZnT5cqMMYYuzX2lAusumvj7e1t00mcMcaYfdDr9UhOTkZ0dDSPcv/LbR9NEBYWdrs3wRhjrJVRqVS49957ucvdhFU+iWPHjtW77OrVq9bYBGOMMWaGk7k5q3waPXr0QEhICCydji8qKrLGJhi7o06dOsW9S4zZMFEUucv9Olbpcg8ODsaePXuQk5NTZ/L19b3p8rKyshAZGYmwsDD069fPYg9Aamoq+vfvj27duqFHjx546aWXLO5QMHazevbsiS5duqBnz57NXRXGWD1UKhWio6P5KN2EVRL6+PHjcebMGYvLJkyYcNPlzZs3D3PnzsWpU6ewePFizJo1q846Hh4eSExMxLFjx3Dw4EH8+uuvSExMvOltMWaqZ8+e+OOPPwAAf/zxByd1xmyYKIrNXQWbYtXL1qyhsLAQYWFhKCoqgkqlAhHBz88Pe/fuRUhISL3vW7BgAdq1a4eXX365Uduxp0sVmHWYJnNTd999N44ePdoMNWKM1cdao9ztKRfY3D3z8vPz4e/vL3ejCIKAoKAg+Slully8eBFJSUmIjo6udx2dTofy8nKzCQAMBoP8r6VYFEWz2Hg3PGMsCICTkwil0hjr5djZWQ+lkuRYoSAIAsHZWQ9BICgUxhhQKk1jCU5OprEIQQBUKgmOjrWxWm0aG6DRmMYGCALg4GCAg0NtrNEYoFYbY1GOHR1FqNWSHKtUrbVNJ/HHH3/AyckJgiAAAJycnAAAmZmZcHY+3gLbZI/f0623qaKiApIkyUd19cUGg8EsbupvxPWxXq83i43HVMaYiOrEAMxiSZLM4tbYJoVCgfvuuw9qtbrJbbIXNpfQAcg/qEYNdSKUl5fj/vvvx+LFi9GnT59614uPj4ebm5s8BQYGAqj9sQaA48eP4/jx4wCAo0ePIisrCwBw6NAh5OTkAAD2798v3zgnPT0dFy5cAACsWJGGnj1rB/998EEqOncuBQAkJKQgIKACAJCYmAxPz2o4OYlITEyGk5MIT89qJCYmAwACAiqQkJACAOjcuRQffJAKAOjZswgrVqQBAPr3v4C4uHQAwNCh+XjxxdqH3kRH52DhwkMAgEmTsjBnTu3R5PTpxzF9em2b5sw5ikmTatu0cOEhREfXtunFF/dj6NDaNsXFpaN//9baJu1fbUqEp6cnnJyckJiYCCcnJ3h6eiIx8VQLbJM9fk+32qat0Gq1+O9//4u0tNo2XbhwAenptW3Kz8+XHyKVk5ODQ4dq25SVlSX3zjTlNyItLU0eIJyamorS0to2paSkoKKitk3Jycmorq6WB3uJoojq6mokJ9e2qaKiAikptW0qLS1Famrt91RUVNRq27R//34QUZPatG/fPtgNsjGXLl0irVZLer2eiIgkSSJfX1/Kycmps255eTndc8899M9//vOG5VZXV1NZWZk85efnEwAqKSkhIiJRFEkUxTqxXq83iw0Gg1kMEDk66kmhMMY1cuzkVEMKhSTHgiARIJGTUw0BEgmCMSZSKExjAzk6msZ6AoiUSgNpNLWxSmUai+TgYBqLBBCp1SKp1bWxg4NIKpUx1suxRqMnlcogx0pla27TKnJyciJBEAgAOTk5EQAShFUtuE32+D3dbJtWkaOjIwEghUJBq1evJiIig8Eg/86YxqIomsWWfhdu5jfi+rimpsYsliTJLJYkqU5s/C00xgaDwSy21A57b1NVVRV9//33VFNT06Q2FRcXEwAqKyujls7mEjoR0ZAhQ2jdunVERPTNN99Q//7966xTUVFBkZGR9Nprr93SNsrKyqzyJQI82de0igCYTKtsoE48We/7rJ1WrVrVpP/3zH5YKxfYApsbFAcAJ0+eRGxsLIqLi6HVarFhwwZ0794ds2fPxvjx4zF+/Hi8+eabeO2119C9e3f5fQ899BBeeumlRm3DWgMhrjs7wOzCagCLAKwCsLBZa8KaogJA/f+3y8vL4erqeueqw6xKkiSUlpbC3d29SY9QtadBcTaZ0O8ETuisYRUA+Me+ZeOEbs/0ej1SU1MxfPhwHuX+F74inzELqIFEwFqOngDqXogI3A3AtYX/eLd2agCjW+fxaL1scpQ7Y4w11XlYTub4a/75O1gXZn2SQoHCwkL58jPGCZ0xZqf8AUysZ9nEv5azlktycEBmZiYndBOc0Bljdutb1E3qE/+az1o2VXU1hg8fzvdyN8EJnTFm10yTOidz+yEplTh37hwfoZvghM4Ys3vfAjgHTub2RFKpcPr0aU7oJrivgjHWKvA5c/ui0ukQFRXV3NWwKXyEzhhjrMWRVCqcPXuWj9BNcEJnjDHW4vA59Lq4y50xxliLo9LpEBkZ2dzVsCl8hM4YY6zFMahUyM7Olp9xzjihM8YYa4FIocCVK1fQSh9HYhF3uTPGGGtxVDU1iIiIaO5q2BQ+QmeMMdbiGFQqnDhxgrvcTXBCZ4wx1vIoFKiqqmruWtgU7nJnjDHW4ihrahAeHt7c1bApNnmEnpWVhcjISISFhaFfv344duyYxfUSEhLQuXNnhIaGYu7cuRBF8Q7XlDHGWHMwqNXIzMzkLncTNpnQ582bh7lz5+LUqVNYvHgxZs2aVWednJwcvPLKK9izZw+ys7Nx8eJFJCQkNENtGWOMseZncwm9sLAQGRkZmD59OgAgJiYGOTk5yM3NNVsvKSkJEydOhK+vLwRBwPz585GYmNgMNWaMMXanKfV69OjRA0qlsrmrYjNs7hx6fn4+/P395WfcCoKAoKAg5OXlISQkRF4vLy8PwcHB8uuQkBDk5eXVW65Op4NOp5Nfl5WVAQCuXLkCAHK3jVKpNItFUYQgCHKsUCigUCjkGFBAoxFRU6MAkQIajR41NUoQKeDoqIdOpwKRAEdHPaqra9vk6CheF6shCASNxhhLcHAwQKczxhJ0OhUUCgkqlYSaGhWUSglKpTE2QKEg6PXGGNDrlVCpatshikqo1QZIEmAwKKFWi5AkAQaDEg4OIgwGBQwGBRwcRIiiApLEbSoDIDo6QlVdXbs9R0eoq6tBggBRo4G6uhqSIMDg4AC1TgdJECA5OECl00FSKCCpVFDV1EBSKiEplVDV1MCgVIIUCqj0ehiUSkChgFKvh+Gvv3WlKMKgVgOSBKXBAFGthmCMHRygMBigMMaiCIUkQdRooKipgYIIeo0GSmPs6AiVTgfBGJu0g9vEbbKHNtU4OeHPX39Fz5495d/163+/G/NbXlJSAgB2cT27zSV0oDaJm6rvgzZd70ZfRnx8POLi4urMN91JuFUm+wlm8V9/u42KicxjYzmmsSQBNTW1scFQOzUUmw4p0Ostx8byro9be5vc7bFR3CZukz21qaoKGDoU1lJRUQE3NzerldccbC6hBwYGoqCgAKIoQqVSgYiQn5+PoKAgs/WCgoLMuuHPnj1bZx1TS5YswbPPPiu/liQJJSUl8PLyqrMDwRhjzLaVl5cjMDAQ+fn50Gq1t1wOEaGiogL+/i3/Abs2l9B9fHwQHh6OjRs3IjY2Fps2bUJISEidI+mYmBgMGjQIr776Knx8fLBmzRpMmTKl3nI1Gg00Go3ZPHd399vQAsYYY3eKVqttUkIH0OKPzI1sblAcAKxduxZr165FWFgYli9fLo9enz17NrZu3QoA6NixI+Li4jBw4ECEhobCx8fH4mh4xhhjrDUQyB5GAjDGGGtVysvL4ebmhrKysiYfodsLmzxCZ4wxxhqi0WiwbNmyOqdSWzM+QmeMMcbsAB+hM8YYY3aAEzpjjDFmBzihM8YYY3aAEzpjjDFmBzihM8YYY3aAEzpjjDFmBzihM8YYY3aAEzpjjDFmB2wyoWdlZSEyMhJhYWHo168fjh07Vmed3NxcDB06FG5ubvjb3/7WDLVkjDHGbIdNJvR58+Zh7ty5OHXqFBYvXmzxoStarRZvvPEGvvzyy2aoIWOMMWZbbC6hFxYWIiMjA9OnTwdQ+5jUnJwcs2efA4CnpycGDRqENm3aNEMtGWOMMdtic89Dz8/Ph7+/P1Sq2qoJgoCgoCDk5eXVeSb6zdDpdNDpdPJrSZJQUlICLy8vCILQ1GozxhhrgYgIFRUV8Pf3h0Jhc8e4N8XmEjqAOgnWGs+PiY+PR1xcXJPLYYwxZn/y8/PRvn375q5Gk9hcQg8MDERBQQFEUYRKpQIRIT8/H0FBQU0qd8mSJXj22Wfl12VlZQgKCkJubi48PDxgMBgAAEql0iwWRRGCIMixQqGAQqGoN9br9VAqlXKsUqkgCIIcA5DbZozVajWISI4lSYLBYJBjSZKgUqnqjQ0GA4hIji21g9vEbeI2cZvsqU06nQ4HDhzAgAED5IPAW2lTSUkJOnToAFdXV7R0NpfQfXx8EB4ejo0bNyI2NhabNm1CSEhIk7rbgdpn51p6bq6Hhwe0Wm2TymaMMXZnSZKEXr16wd3d3Spd5fZw6tUmn4d+8uRJxMbGori4GFqtFhs2bED37t0xe/ZsjB8/HuPHj4dOp0NoaCh0Oh3Kysrg4+ODRx55BPHx8Y3aRnl5Odzc3FBWVsYJnTHGWil7ygU2mdDvBHv6EhljrLURRRFpaWmIioqSu/JvhT3lgpY9pI8xxlirpFAo0KNHjxY/Mt2abO4cOmOMMXYjCoUCPj4+zV0Nm8K7NowxxlocvV6Pn376CXq9vrmrYjM4oTPGGGtxlEolIiIioFQqm7sqNoO73BljjLU4CoUCnp6ezV0Nm8JH6IzdJr1798b69esBAF988QUiIyObt0KM2RG9Xo/t27dzl7sJTuiM1WPo0KFYtWqVVcp6+OGHkZ6ebpWyLNHr9YiLi0NoaCicnJwQGBiIZ555BlevXr1t22yKffv2YdiwYfDw8IC7uzt69uwp7/w0xa5du+Du7t7kcpjtU6lUGDx4cJMuWbM3nNAZswPTpk3D5s2b8fXXX+Pq1avYsWMHjhw5gnvvvdfmjmAqKiowZswY/P3vf0dhYSEuX76MhIQEmxmxLIpic1eBNYIgCNBqtXZxhzdr4YTOWCMYj/w++eQTBAYGwsvLC4sXLzZb54MPPpCXvfTSS2bL1q9fj969e8uv//Wvf6Fz585wdXVFaGgoPvjgA3lZbm4uBEHA559/jk6dOsHd3R2xsbH1JuZdu3Zh69at2Lx5M/r27QulUomwsDBs3rwZp06dwhdffCGv+/PPP6N///5wd3eHn5+f2Z0Vf/nlF/Tr1w/u7u7o3r07tm7dKi9LSUnB3/72N7i5ucHPzw9PPPEEqqqq5OUhISFYsWIFBgwYAFdXVwwZMgT5+fkW63vy5Elcu3YNc+fOhVqthlqtRkREBKKjo+V1CgsL8fDDD8Pf3x/+/v5YtGiR2dMSf//9dwwfPhyenp7w9vbGU089heLiYowdOxZlZWVwcXGBi4sLdu/eDQDYuHEjunbtCnd3dwwaNAiHDh2Syxo6dCgWL16Me++9F23atMEPP/xgsd7Mtuj1emzZssXmdlibFbVSZWVlBIDKysqauyrMRg0ZMoRWrlxJREQ7d+4khUJBTz/9NFVVVdGxY8fI2dmZdu7cSUREO3bsIK1WS+np6aTT6Wjp0qWkVCpp3bp1RES0bt066tWrl1x2UlIS5eXlkSRJlJqaSo6OjrRnzx4iIsrJySEA9Pe//53Kysro3LlzFBAQIJd1vRdffJEGDx5scdn06dNp6tSpRESUkZFBTk5OlJSURDU1NVRaWkq//fYbEREdOXKE3N3daceOHWQwGGj37t2k1WrpxIkTRESUlpZGGRkZJIoinT59mu666y5644035O0EBwdT9+7d6fTp01RVVUVjx46lGTNmWKxTeXk5eXt700MPPUTfffcdXbhwwWy5JEnUv39/evbZZ+natWtUVFREQ4cOpZdffpmIiAoKCkir1dKHH35IVVVVdO3aNUpLS5O/Jzc3N7Py0tLSyMXFhX799VeqqamhlStXkre3N5WWlhJR7ffs7e1N+/btI0mSqLKy0mK9mW0xfleSJDWpHHvKBXyEzlgjERHi4+Ph6OiIrl27IjIyEr///juA2kFvDz/8MO655x44ODjgtddeQ5s2beotKyYmBoGBgRAEAcOGDcPo0aOxa9cus3Vee+01aLVa+Pv7Y+zYsfK2rldUVAR/f3+Ly/z9/XH58mUAwH/+8x9MmTIFMTExUKvVcHNzw4ABAwAAa9euRWxsLIYPHw6FQoFBgwZh3Lhx+PrrrwEAgwcPRnh4OJRKJTp27Ih58+bVqe+CBQvQsWNHODo64uGHH663vq6urkhPT4enpyeeffZZ+Pv7o3///sjIyAAAHDx4EFlZWXjnnXfg7OwMLy8vLF26FF9++SWA2qPtvn374oknnoCjoyOcnZ0xePDgej/rzz77DNOnT0dUVBTUajUWLVoEDw8PbN++XV5n2rRp6NevHwRBgJOTU71lMdvC58/NNVtCz8rKQmRkJMLCwtCvXz8cO3bM4noJCQno3LkzQkNDMXfuXLPzW++++y569OiB3r17Y8CAAThw4MCdqj5rhbRaLZydneXXbdq0QUVFBQDg/PnzCA4Olpep1Wr4+fnVW9YXX3yBPn36yIPCkpOTUVRUZLZOu3btLG7rem3btsX58+ctLjt//jy8vb0BAGfPnkXnzp0trpebm4s1a9bA3d1dnrZs2SKXe+DAAYwcORK+vr7QarVYunTpLdcXADp16oQ1a9bg9OnTKCgoQKdOnTB+/HgQEXJzc1FaWgpPT0+5LpMmTcKlS5du2A5LCgoK6jytsUOHDigoKJBfN/XxzOzOE0URycnJPObBRLMl9Hnz5mHu3Lk4deoUFi9ejFmzZtVZJycnB6+88gr27NmD7OxsXLx4EQkJCQCAI0eO4P3338fevXtx+PBhLFiwAE8++eSdbgZjAGqPhM+ePSu/1uv1uHDhgsV18/LyMGPGDKxYsQKXL19GaWkpoqOjQbf4nKRRo0Zh3759yMnJMZtfXl6OH374AaNGjQIABAcHIzs722IZgYGBWLhwIUpLS+Xp6tWr+PjjjwEAU6dOxbBhw3DmzBmUl5fjrbfeuuX6Xs/f3x8vvvgizp07h5KSEgQGBsLHx8esLmVlZfKI/YbaYem+3u3bt0dubq7ZvNzcXLRv377B9zHbplKpEB0dzUfpJprlr7iwsBAZGRmYPn06gNrux5ycnDr/6ZKSkjBx4kT4+vpCEATMnz8fiYmJ8nK9Xo9r164BAEpLS83+gzJ2J02dOhVffPEF9u3bh5qaGvzzn/+U/zavd/XqVRARfHx8oFAokJycjJSUlFve9vDhwxEdHY2JEyciIyMDBoMBp06dwsSJExEaGoqHH34YADBnzhwkJiZi8+bNEEURZWVl2Lt3L4DaHex169Zh586dMBgM0Ol0+O2333D8+HEAtTsH7u7uaNOmDY4fPy4n+ltx4sQJvP3228jNzYUkSSgtLcUHH3yAsLAweHl5ISIiAkFBQXj55ZdRUVEBIsLZs2flwWoPP/ww9u/fjzVr1kCn+3/t3Xt8FOXZP/7PzO5mEyQHEk5JyEEwAQWBoIAFOXsM5VRSHrS0UsGAlseA30cftUXEqiBqgYqVfNtUaNW0ilVRosaa2oARgyV+IxIkwEIChkMSskmA3ezM3L8/lp3fLkkwIQu7mXzer9e8cu3uMHNf2bDXzj333OPE2bNn9cFvffr0QUNDg36aAQDmzZuH119/HZ9//jkURcFLL72Empoan0F41Dnx6NxXQAp6ZWUl4uLi9G9WkiQhMTERFRUVPutVVFT4dGMmJyfr6wwbNgwPPfQQrr76avTr1w9r167FSy+91Oo+nU4n6uvrfRYAUFVV/9lSrCiKT6xp2kVjl8vlE3uOYjyxEKJZDMAn1jTNJ/b80bYWq6rqEzMn/+TkvXjacmF+nn1OnjwZTz75JGbPno3Y2FgoioIhQ4b45ORpw3XXXYfHHnsMkydPRkxMDP72t79h2rRpF81J0zS9jS3l9Pe//x0//vGPkZGRgauuugqTJk3C4MGD8cknn0CSJAghkJaWhr///e945plnEB0djWuvvRb//ve/IYTAkCFDkJubi9/85jfo1asX4uPjsXz5cv1LySuvvIIXXngB3bt3x+LFizFnzpxm75OmaT7t9bgwp27duqGkpATjxo1DREQEBg4ciJMnT+K9997Tf6/vvfcejh07hmuvvRaRkZGYOnUqvvvuOwgh0K9fP3z00Ud444030KdPHyQnJ+Ott96CEAL9+/fHggUL9BHtO3bswLhx47B27VosWLAAMTExyM3NxYcffoiIiAif9zWY/vaM+P/J3zk5nU7k5+frbe1IToZxWYba/YCvvvpKXHfddT7P3XjjjeLf//63z3NLliwRa9as0R/v2bNHXH311UIIIQ4fPizGjRsnvv/+eyGEEC+99JKYMGFCq/tcsWKFANBs8YyO/eabb8Q333wjhHCPBi4rKxNCCFFcXCzKy8uFEEJ8/vnn4vDhw0IIIf7973+Lo0ePCiHcI5xPnDghhBDio48+EjU1NUIIIT744AN95OS7774rzp49K5qamsS7774rmpqaxNmzZ8W7774rhHCPtPzggw+EEELU1NSIjz76SAghxIkTJ8Snn34qhHCP7vX8jg4fPiw+//xzIYQQ5eXlori4WAghRFlZmdi9ezdzYk7MiTkxpzbklJeXZ5hR7pIQfjoR1g4nT55ESkoKampqYDabIYRAbGwsdu7c6TN45fnnn8fhw4fx8ssvAwDy8vKwZs0afPbZZ3jhhRdw6NAh/OEPfwAAnDlzBuHh4XC5XC1O1u90On2uY62vr0dCQgJqa2vRo0cP/ZubyWTyiRVFgSRJeizLMmRZbjX27N8Tm81mSJKkx4D7G6F3bLFY9CMEi8WiH+l4Yk3TYDabW41VVYUQQo9byoM5MSfmxJyMlJOiKGhoaEBUVJR+tH0pOdXW1iImJgZ2ux0RERHo1K78dwi3CRMm6NfVvvXWW2L06NHN1jl48KCIjY0Vx48fF5qmiWnTpolXXnlFCCHE22+/La6//nrR0NAghBAiNze32VH/xRjp2kMioq6mqalJfPDBB6KpqalD2zFSLQjY8EDPda/PPvssIiIisHnzZgDAwoULMX36dEyfPh39+/fHypUrMXbsWGiahsmTJ+uj4WfNmoVdu3bhxhtvhNVqRXh4OF577bVApUNERFeQxWLB1KlTA92MoBKQLvdgUF9fj8jISGN0sxARdTGeKySioqI6dNmhkWoBL74koi7hYhPdUOejqip27dqlnycnFnSiFvHD31jWr1+PyMhIrF+/PtBNIT+xWCy4/fbbYbFYAt2UoNHugv7BBx9cjnYQBQ1++BvL+vXrsXTpUgghsHTpUr6vBqFpGk6ePOkz50FX16ZBcbfeeqs+OcX+/fvx+9//vkMzWxEFK8+HPwD9Z1ZWVuAaRB3i/X568H01Bk3TsGfPHowfP55T957XpkFxy5cvxw033ICZM2di2bJlWLt27ZVo22VlpIEQ5B8tffgDwLp16/jh3wk1NDQgMjKyxTnnJUmC3W5HeHh4AFpGwcRItaBNX2t++9vfQlEUPP7442hqarrcbSK64hoaGrBs2bIWX1u2bBnPqXdC4eHhrR58rF27lsW8k9M0DceOHWOXu5c291NkZGTg3nvvxcCBAy9ne4gCIjw8HDNnzmzxtZkzZ/LDv5PKysrCunXrfJ5jj4sxaJqGgwcPsqB74XXoBuhmoY5j96yxrV+/Xj9dyGJO3oxUC9o9kqCsrAzz5s3DmDFjMGrUKH0h6szYPWtsWVlZsNvtLOYGomkajhw5wiN0L+2e+nXOnDn4xS9+gXvvvbfFm6AQdVaeD3vvgXHsnjUOfikzFs859Pj4eI5yP6/dBd1iseDhhx++HG0hIrpsGhoaWNQNxGw2Y8yYMYFuRlBp99eaO+64Ax999FGHd1xeXo4xY8YgNTUVo0aNwt69e1tcLycnBykpKRgwYAAyMzN9bkZfUVGBadOmYeDAgRg0aBBeeumlDreLuq7WrlnmRCSdHycLMh5VVXHgwAFO/eqtvbdn++c//ymuuuoqERERIXr16iV69uwpevXq1e7bvE2aNMnn9qk33XRTs3UOHTrU7PapGzduFEIIoWmaGDFihHjzzTf1x1VVVW3ev5FumUcdV19fLyRJEgCaLZIkifr6+kA3kS7RunXrfN7PdevWBbpJ5Acul0sUFxcLl8vVoe0YqRa0u6APGDBAvPXWW+LgwYPi8OHD+tIeJ06cEJGRkfoboWma6NOnj7DZbD7rrVmzRjzwwAP6423btokJEyYIIYT45JNPxNixY9vbfJ2R3kTyjws/+FkAOj++p/RDjFQL2t3lHhMTg4yMDPTv3x9JSUn60h6VlZWIi4uD2ew+hS9JEhITE1FRUeGzXkVFhc+2k5OT9XX27t2LXr16Ye7cuUhLS8OsWbNw6NChVvfpdDpRX1/vswDQu2tUVW0xVhTFJ/aMqGwtdrlcPrE4fxmUJxZCNIsB+MSapvnEntMMrcWqqvrEzOnScsrKysL69eshSRIAICwsDOvWrcODDz7YaXMy4vvU1pxOnz6NZcuWQZZlhIaGAoAeL1u2DHa7vdPlZMT36VJzampqwt69e/V2dyQno2h3QZ81axY2btyI2tpanD17Vl/ay/Oh6eH5A7jYet7ruFwu/POf/8Ty5ctRUlKCO++8E3Pnzm11f6tWrUJkZKS+JCQkAAD27NkDwH05XllZGQCgtLQU5eXlAICSkhLYbDYAQHFxMSorKwEARUVFqKqqAgAUFhaiuroaAFBQUIC6ujoAQH5+vj7DWF5eHhwOBxRFQV5eHhRFgcPhQF5eHgD3gB3P/Ph1dXUoKCgAAFRXV6OwsBAAUFVVhaKiIgDuL0XFxcUAAJvNhpKSEgDusQmlpaXM6RJzSkpKwu9//3t069YNubm5eOCBBzp9TkZ8n9qSU1FREdauXYuUlBRs2LABADB06FCsWbMGa9euRWNjY6fLyYjv06XmdOTIERw9erTDOX355ZcwjPYe0kuSpC+yLOs/2+PEiRMiIiKiQ13ub731lhg3bpz+2pkzZ4Qsy0JRlBb36XA4hN1u15fKykoBQNTW1gohhFAURf+33rHL5fKJVVW9aNzU1OQTa5rmE2ua1iz2/A48saqqPrHn99RarCiKT9xSHsypfTnZ7XbD5WTE96ktOa1bt06EhoYKAEKWZbF+/fpOn5MR36dA5VRTU2OYLvd2F3R/mTBhgs+guNGjRzdb5+DBg80Gxb3yyitCCCEaGxtF//79xdGjR4UQQrz99tti6NChbd6/kc6bENHFrVu3TkiSxHPnBqIoivjmm29aPYhrKyPVgnZP/epwOPTzUR6nTp1Cr1692tUz8N1332H+/PmoqalBREQENm/ejMGDB2PhwoWYPn06pk+fDgD44x//iOeeew6apmHy5Ml45ZVX9Bvaf/zxx/jf//1fCCEQFRWFP/zhDxg8eHCb9m+k6f6I6IfxOnRjUVUVZWVluPbaazs0yZmRakG7C/qsWbPwzjvv6I/r6uowZcoU/Oc///F74y4nf72JFwwFIMNoAMAPfyPpmnetoB9ipILe7kFxAwcO1KfCbGxsRHp6Ou6//36/N4wocNYDiDz/k4iCkaqqKCkp4cQyXtpd0FevXo0TJ07gueeew4wZMzBnzhwsXLjwcrSNKADWA1gK9+XKS8GiThS8wsLCAt2EoNLmLnfvS9POnTuHO++8E1OmTMHy5csBAN26dbs8LbxM2OVOzXmK+YXWAeANWjo7drlTS4zU5d7mgi7LMiRJghBC/6lvRJI6XbcHCzr5aoC7m72l/w4SADt4Tr1zY0E3FkVRUFJSgrS0NH2SskthpILe5i53TdOgqqrPT8/S2Yo5UXPhAFq+H7r7eRZzomAiSRJ69OjRbJKyrqzNBf3MmTN6XFNTc1kaQxRYWXB3r3tbB3a3EwUfk8mEa665pkOXrBlNmwr6f//3f+Puu+/GY489BgD6eXMi4/EUdQks5kTBS1EUFBUVGWou9o5qU0Gvq6vDe++9h/Hjx+Opp5663G0iCrAsuM+Zs5gTBStZlhEfHw9ZbvfFWobVpt+E1WoFANx5552IjY3Ftm3bLmujiAKP58yJgpksy0hKSmJB99KmoYG/+MUv9Pi+++5DTEzMZWsQERHRD/F0uY8ZM6ZDo9yNpE1fbcaPH+/zOC0t7bI0hoiIqC1kWcaAAQN4hO7lkn4Tzz//fId3XF5ejjFjxiA1NRWjRo3C3r17W1wvJycHKSkpGDBgADIzM5sNgBBCYMqUKejZs2eH20RERJ0Dz6E316bfRFJSEm677TbcdtttuPXWW/HBBx90eMeLFi1CZmYm9u/fj0ceeQQLFixoto7NZsPy5cuxY8cOHDhwAMePH0dOTo7POhs2bEBycnKH20NERJ2HoigoKCjgKHcvbSrot956K/Lz85Gfn49PPvkEU6dO7dBOT548id27d2PevHkAgNmzZ8Nms+Hw4cM+623ZsgWzZs1Cnz59IEkSFi9ejNzcXP318vJy/O1vf8Ojjz7aofYQEVHnIssyhgwZwiN0L236Tbzwwgs+j1955ZUO7bSyshJxcXH6QAZJkpCYmIiKigqf9SoqKpCUlKQ/Tk5O1tfRNA333XcfXn75Zf3+6BfjdDpRX1/vswDQZ7lTVbXFWFEUn1jTtGZxaKgCWfbELj0OC3NBloUeS5IAIBAW5gIgIEmeGJBl71hDaKh37P4GajJpsFrdsdnsHasICfGO3e21WFRYLO44JESF2eyJFT22WhWYzZoem0zMiTkZNydN0/QjutZiVVV9Yn98RnjHLpfLJ/ZMo+2JhRDNYgA+saZpPnFXzEkIgejoaMiy3OGcjKJNBT0qKkqPKyoqsGPHDuzYsaNZAW6PC6fra21Kee/1vNd54YUXMH78eAwfPrxN+1u1ahUiIyP1JSEhAQCwZ88eAEBZWRnKysoAAKWlpSgvLwcAlJSUwGazAQCKi4tRWVkJACgqKkJVVRUAYM2aQgwdWg0A2LChACkpdQCAnJx8xMc3AAByc/MQHe1AWJiC3Nw8hIUpiI52IDc3DwAQH9+AnJx8AEBKSh02bCgAAAwdWo01awoBAKNHV2HlyiIAwMSJlXj00WIAQHq6DVlZJQCAjIxy3HdfKQBg3rwyzJvnzum++0qRkeHOKSurBOnp7pwefbQYEye6c1q5sgijRzMn5mTcnKqrq1FY6M6pqqoKRUXunCorK1Fc7M7JZrOhpMSdU3l5OUpL3Tl15DOisLAQ1dXunAoKClBX584pPz8fDQ3unPLy8uBwOKAoCvLy8qAoChwOB/Ly3Dk1NDQgP9+dU11dHQoKunZOBw4cwIcffgiXy9WhnL788ksYhmijsrIy8aMf/Uj07dtXjBo1SowcOVL07dtX/OhHPxJ79+5t62aEEEKcOHFCRERECJfLJYQQQtM00adPH2Gz2XzWW7NmjXjggQf0x9u2bRMTJkwQQggxdepUkZCQIJKSkkR8fLyQZVkkJSWJ2traFvfpcDiE3W7Xl8rKSgFAX19RFKEoSrPY5XL5xKqq+sSAEKGhLiHLnrhJj8PCmoQsa3osSZoANBEW1iQATUiSJxZClr1jVYSGescuAQhhMqnCanXHZrN3rIiQEO9YEYAQFosiLBZ3HBKiCLPZE7v02Gp1CbNZ1WOTiTkxJ2PmJIQQqqrqnzutxYqi+MQtfS605zPiwripqckn1jTNJ9Y0rVns+Zz0xKqq+sRdMaempiZx8uRJoapqh3KqqakRAITdbhedXZsL+ujRo8WWLVuaPf/WW2+JkSNHtnvHEyZMEK+++qq+jdGjRzdb5+DBgyI2NlYcP35caJompk2bJl555ZVm69lsNhETE9Ou/dvtdr+8ie57OHEx2hLwBnDhwuWHFz/wVy0IBm0eTXD69GnMnj272fMZGRmw2+3t7hnIzs5GdnY2UlNTsXr1an30+sKFC7F161YAQP/+/bFy5UqMHTsWAwYMQO/evVscDU9ERF2LKywM27Zt08+7Uzvuhz527FgsXrwYP/vZz/RRhZqm4a9//Suys7P1cxydBe+HThcjwDeWKJgJWUbD6dMIDw/v0C1UjXQ/9DbPl7d582YsWrQIWVlZiIuLgyRJOHr0KNLS0rBp06bL2EQiIiJfkqZ1+gLsb20u6Ndccw0+/fRTnDp1Sh8dmJCQgF69el22xhEREbXEFRaGvPfeQ3p6epsuXe4K2j2jfa9evVjEiYgooMwOB2677TbemMWLX6bYSU1N9cdmiIiI2kYIFvMLtPm30drNUwCgsbHRL40hIiJqCyUsDHl5eexy99Lmgj5kyBAkJyejpUHxntmCiIiIrgTzuXNIT0/nUbqXNv8mkpKSsGPHDsTFxTV7zTONKhER0RUhSVAUhQXdS5vPoU+fPh2HDh1q8bUZM2b4rUFERJdDQ6AbQH6lhIYiPz/fUDdX6ag2TyxjNJxYhi6GE8sYy3oAywCsBZAV4LaQH/mhfBlpYhneSJaIDG09gKUAxPmf6wPZGPIbIcuor69vcVxXV8WCTkSG5Snm3paCRd0IFKsV27dvZ5e7l4AV9PLycowZMwapqakYNWpUq5fF5eTkICUlBQMGDEBmZqb+5n3zzTcYP348Bg0ahOuvvx6ZmZlwOp1XMgUiCmINcHezt2QZeE69s7OcO4epU6fykjUvASvoixYtQmZmJvbv349HHnmkxbuo2Ww2LF++HDt27MCBAwdw/Phx/a5soaGh2LBhA/bt24evv/4adrsdL7744pVOg4iCVDjc58xbsvb869R5abKM2tpaaJoW6KYEjYAU9JMnT2L37t2YN28eAGD27Nmw2Ww4fPiwz3pbtmzBrFmz0KdPH0iShMWLFyM3NxcAkJKSgqFDhwIATCYTRo4c2eoofCLqmrIArLvguXXgwDgjUENCsGvXLqiqGuimBI2AFPTKykrExcXp1w9KkoTExERUVFT4rFdRUYGkpCT9cXJycrN1AODMmTP405/+hGnTprW6T6fTifr6ep8FgP7HoKpqi7GiKD6x59ugdxwaqkCWPbFLj8PCXJBloceSJAAIhIW5AAhIkicGZNk71hAa6h27TzOYTBqsVndsNnvHKkJCvGN3ey0WFRaLOw4JUWE2e2JFj61WBWazpscmE3OSJAEB980fBAAhSXCFhQFwD8TxxJoswxUaqseKJzaZoFit7ths1mPVbIYSEqLHqie2WKCe7zZUQ0Kgnv9/oXjHVis079hkcsehodDO387Y5R2HhUF4x5LUZXP6b1nG+tBQSADWyTJ+ZYCcjPg+tTcnWVEwZcoUWCyWVj+/2/pZbhQB63K/8P61rY1U9F6vpXVcLhf+67/+C7fddttFr4dftWoVIiMj9cUzGc6ePXsAAGVlZSgrKwMAlJaWory8HABQUlICm80GACguLtbvNFdUVISqqioAwJo1hRg61D1b3oYNBUhJqQMA5OTkIz7efaYuNzcP0dEOhIUpyM3NQ1iYguhoB3Jz8wAA8fENyMnJBwCkpNRhw4YCAMDQodVYs6YQADB6dBVWrnTfd37ixEo8+mgxACA93YasrBIAQEZGOe67rxQAMG9eGebNc+d0332lyMhw55SVVYL0dHdOjz5ajIkT3TmtXFmE0aOZU3S0wz2tZG4ulLAwOKKjkXe+Z6ghPh7550/71KWkoGDDBgBA9dChKFyzBgBQNXo0ilauBABUTpyI4kcfBQDY0tNRkuU+NizPyEDpffcBAMrmzUPZ+d6q0vvuQ3lGBgCgJCsLtvR0AEDxo4+icuJEAEDRypWoGj0aAFC4Zg2qz/dUFWzYgLqUFABAfk4OGuLjAQB5ublwREd36ZwGbtgAO4C7DJSTEd+n9uR0aOpUfPHFF9A0DeXl5SgtdX9GtPez/Msvv4RhiAA4ceKEiIiIEC6XSwghhKZpok+fPsJms/mst2bNGvHAAw/oj7dt2yYmTJigP25qahIzZ84UCxcuFJqmXXSfDodD2O12famsrBQARG1trRBCCEVRhKIozWKXy+UTq6rqEwNChIa6hCx74iY9DgtrErKs6bEkaQLQRFhYkwA0IUmeWAhZ9o5VERrqHbsEIITJpAqr1R2bzd6xIkJCvGNFAEJYLIqwWNxxSIgizGZP7NJjq9UlzGZVj00m5iRJmtAA0RQWJjRAaJIkmsLChACEJst6rMqyaAoN1WOXJzaZhMtqdcdmsx4rZrNwhYToseKJLRahWCzuOCREKGazEIBwecdWq1C9Y5PJHYeGClWWhQBEk3ccFiY071iSmBNzMlROju7dxT//+U/9M7qlz++2fJbX1NQIAMJut7ejigWngBR0IYSYMGGCePXVV4UQQrz11lti9OjRzdY5ePCgiI2NFcePHxeapolp06aJV155RQjhfkN+8pOfiHvvvfcHi3lL7Ha7X95EgIsRl4A3gAsXLj+8+IG/akEwCFiXe3Z2NrKzs5GamorVq1fro9cXLlyIrVu3AgD69++PlStXYuzYsRgwYAB69+6tj4b/+9//jn/84x/46quvkJaWhuHDh+NXv/pVoNIhoiDHy9SMRTOZcOzYMY5y98KpXzn1K7WAU78aC6d+NR7FakVRfj7GjBnToRu0GGnqV96mhogMzXu2OM9PFvXOz+x0Yvz48YFuRlDh1K9EZFic+tW4NLMZR44cYZe7FxZ0IjIkTv1qbDyH3hwLOhEZEqd+NTaz09nh8+dGw4JORIaVBU79alSq2YwDBw5w6lcvLOhEZGieoi6BxdxIhCzj9OnT6KIXarWIl63xsjVqAS9bM54GsJvdcPxQvox02RqP0ImoS2AxNxbVbMa+ffvY5e6FBZ2IiDofWca5c+cC3YqgwuGBRETU6ZiampCWlhboZgSVoDxCLy8vx5gxY5CamopRo0Zh7969La6Xk5ODlJQUDBgwAJmZmYa6ry0REbVOtViwZ88edrl7CcqCvmjRImRmZmL//v145JFH9BuyeLPZbFi+fDl27NiBAwcO4Pjx4/oNXoiIiLqaoCvoJ0+exO7duzFv3jwAwOzZs2Gz2XD48GGf9bZs2YJZs2ahT58+kCQJixcvRm5ubgBaTEREV5rJ5cKQIUNgMpkC3ZSgEXTn0CsrKxEXF6fP/iNJEhITE1FRUYHk5GR9vYqKCiQlJemPk5OTUVFR0ep2nU4nnE6n/thutwMATp8+DQB6t43JZPKJFUWBJEl6LMsyZFnWY0CG1aqgqUmGEDKsVheamkwQQkZoqAtOpxlCSAgNdcHhcOcUGqpcEFsgSQJWqyfWEBKiwun0xBqcTjNkWYPZrKGpyQyTSYPJ5IlVyLKAy+WJAZfLBLPZnYeimGCxqNA0QFVNsFgUaJoEVTUhJESBqspQVRkhIQoURYamMSc7ACU0FGaHw72/0FBYHA4ISYJitcLicECTJKghIbA4ndAkCVpICMxOJzRZhmY2w9zUBM1kgmYywdzUBNVkgpBlmF0uqCYTIMswuVxQz/+tmxQFqsUCaBpMqgrFYoHkiUNCIKsqZE+sKJA1DYrVCrmpCbIQcFmtMHni0FCYnU5IntgrD+bEnIyQU1NYGL79978xdOhQ/XP9ws/vtnyW19bWAoAhrmcPuoIOuIu4t9Z+0d7r/dCbsWrVKqxcubLZ895fEi6V1/cEn/j8326bYiF8Y892vGNNA5qa3LGqupeLxd5DClyulmPP9i6Mu3pOUUZMijkxJyPldO4cMHEi/KWhoQGRkZF+214gBF1BT0hIwNGjR6EoCsxmM4QQqKysRGJios96iYmJPt3wR44cabaOt8ceewwPPfSQ/ljTNNTW1iImJqbZFwgiIgpu9fX1SEhIQGVlZYcmhBFCoKGhAXFxcX5sXWAEXUHv3bs30tLS8Nprr2H+/Pl4++23kZyc3OxIevbs2bj55pvxxBNPoHfv3ti4cSPmzp3b6natViusVqvPc1FRUZchAyIiulIiIiI6PMNbZz8y9wi6QXEAkJ2djezsbKSmpmL16tX66PWFCxdi69atAID+/ftj5cqVGDt2LAYMGIDevXu3OBqeiIioK+iyc7kTEVHnZaQ52P0lKI/QiYiILsZqtWLFihXNTqV2ZTxCJyIiMgAeoRMRERkACzoREZEBsKATEREZAAs6ERGRAbCgExERGQALOhERkQGwoBMRERkACzoREZEBsKATEREZQNAV9AcffBDJycmQJAl79uxpdb2cnBykpKRgwIAByMzMhOJ9X18iIqIuJugKekZGBnbs2IGkpKRW17HZbFi+fDl27NiBAwcO4Pjx4/od2YiIiLqioCvo48ePR79+/S66zpYtWzBr1iz06dMHkiRh8eLFyM3NvUItJCIiCj7mQDfgUlRUVPgcwScnJ6OiouKi/8bpdMLpdOqPNU1DbW0tYmJiIEnSZWsrEREFLyEEGhoaEBcXB1kOumPcdumUBR2ATxFuyw3jVq1ahZUrV17OJhERUSdVWVn5g73Dwa5TFvTExEQcPnxYf3zkyBEkJiZe9N889thjeOihh/THdrtd306PHj2gqioAwGQy+cSKokCSJD2WZRmyLLcau1wumEwmPTabzZAkSY8BQFEUn9hisUAIoceapkFVVT3WNA1ms7nVWFVVCCH0uKU8mBNzYk7MyUg5OZ1O7Nq1CzfddJN+gHcpOdXW1uLqq69GeHg4OrtOWdBnz56Nm2++GU888QR69+6NjRs3Yu7cuRf9N1arFVartdnzPXr0QERExOVqKhERXQaapmHYsGGIioryS1e5EU69Bt0Jg1/96lfo168fjh49iltuuQXXXHMNAGDhwoXYunUrAKB///5YuXIlxo4diwEDBqB3795YsGBBIJtNRERXkCzLiI+P7/Tnvf1JEm05AW1A9fX1iIyMhN1u5xE6EVEnoygKCgsLMX78eL0r/1IYqRbwqw0REXU6sixjyJAhPEL30inPoRMRUdcmyzJ69+4d6GYEFX61ISKiTsflcuHjjz+Gy+UKdFOCBgs6ERF1OiaTCSNHjoTJZAp0U4IGu9yJiKjTkWUZ0dHRgW5GUOEROlGQePLJJzFz5sxOvY9nn30Wd91112XbPpGHy+XCtm3b2OXuhQWdqBXfffcdpk2bhp49eyIiIgKDBg3Cc88955dtb9q0CcOHD/fLtv7yl79AkiS88sorl20fLWlp+48//vgl3yjpyy+/xKRJk9CjRw9ERUVh6NCh2LRpU4fb+dlnnyEqKqrD26HgYjabMW7cuA5dsmY0LOhErZg6dSqGDRuGiooKnD59Gm+//Tb69+8f6GY1k5OTg+jo6E59C+GGhgbccccd+K//+i+cPHkSp06dQk5OTtCMYlYUJdBNoAtIkoSIiAhDzPDmN6KLstvtAoCw2+2BbgoFoVOnTgkAoqKiotV1jh8/Ln7605+Knj17ioSEBPH4448Ll8slhBDi1VdfFcOGDfNZf9iwYeLVV18Vu3fvFlarVciyLK666ipx1VVXiSNHjogVK1aIH//4x+JXv/qViIyMFAkJCeJvf/vbRdtZXl4uAIh3331XSJIkvv76ayGEuOg+ZsyYof/7hx9+WCQmJoru3buLa6+9Vrz55pv6a//6179EZGSk+OMf/yj69esnoqOjxcMPP9yu7VdVVYmf/exnIjY2VkRGRopx48aJs2fPNstj165dwmKxCFVVW831xIkT4u677xaxsbEiNjZWZGVlCYfDob/+1VdfiUmTJokePXqInj17iiVLlojq6moRGhoqAOjtLCwsFEII8de//lUMGjRIREZGirFjx4rdu3fr25owYYJ4+OGHxa233iq6desmtm7detH3ga68pqYm8e6774qmpqYObcdItYBH6EQtiImJwaBBg/DLX/4Sb775Jo4cOdJsnbvvvhsWiwU2mw3bt2/Hu+++izVr1vzgttPS0rBx40Zcf/31aGxsRGNjo35zoY8//hhjx45FTU0Nnn76aSxcuBANDQ2tbisnJwdpaWmYMWMGxo0bpx+lX2wf3oYNG4Zdu3ahrq4OTzzxBH7+85/DZrPprzc0NOCbb75BeXk5duzYgZdffhmfffZZm7avaRqmT58Os9mMb7/9FtXV1Xj22WdbnAhk4MCBiIqKwty5c/Hee+/h+PHjPq8LITB9+nT07dsXBw4cwDfffIP/9//+H55++mkAwLFjxzB58mRkZGTg+++/x5EjRzBnzhzExMTgww8/RGRkpN7OcePGYfv27bj//vuRnZ2NU6dOISMjA7fffjvsdru+z02bNuHpp59GY2Mjbrnllh96W+kKM5vNuO2229jl7oUFnagFkiThX//6F4YNG4aVK1eif//+uO666/DJJ58AcBeQgoICvPjii+jevTuSkpLw61//usPnfEeMGIG77roLJpMJP//5z9HU1IT9+/e3uK6qqti8eTPuueceAMAvfvELvP7663A6nW3e389+9jP07t0bJpMJc+fOxaBBg1BUVKS/LoTAqlWrEBoaimuvvRZjxozBf/7znzZte9euXdi7dy9eeeUV9OjRA2azGTfffHOLN0kKDw9HUVERoqOj8dBDDyEuLg6jR4/G7t27AQBfffUVysvL8fzzz6Nbt26IiYnB448/jjfeeAMA8Nprr+GGG27AAw88gNDQUHTr1g3jxo1rtW1/+ctfMG/ePIwfPx4WiwVLly5Fjx49sG3bNn2du+++G6NGjYIkSQgLC2tTznRlsZj7YkEnakXfvn3x4osv4ttvv8WpU6dw5513YtasWaitrcXRo0cRGhqKvn376uv3798fR48e7fA+PTyFpLUj9Ly8PFRXV+Puu+8GAPz0pz/FuXPn8M4777R5f2vXrsXgwYMRGRmJqKgo7NmzB9XV1frrERER6Natm/74qquuumiPgbcjR44gPj6+zcXwmmuuwcaNG3Hw4EEcPXoU11xzDaZPnw4hBA4fPoy6ujpER0cjKioKUVFRyMjIwIkTJ/R9paSktDnvo0ePIjk52ee5q6++2uf9+6FbMlNgKYqCvLw8jm/wwoJO1AbR0dF48skncebMGdhsNvTr1w8Oh0MvKAD05wGge/fuOHv2rM82vLuR/TH/dE5ODjRNw/XXX4++ffsiNTUVLpdL73b/oX3s2LEDTz75JP7yl7/g9OnTqKurw5AhQyDaeL+mH9p+UlISjh07hnPnzrUtIS9xcXF49NFHcezYMdTW1iIhIQG9e/dGXV2dvtjtdjQ2Nur7OnDgQJvb2a9fPxw+fNjnucOHD+vvX2v/joKH2WxGeno6j9K98C+WqAWnT5/Gb37zG+zbtw+qquLs2bP43e9+h+joaAwaNAjx8fGYNGkS/ud//gdnzpxBRUUFnn32Wb37e/jw4Th06BC2b98ORVGwZs0a1NTU6Nvv06cPqqqqLqnYAcCJEyewbds2/OUvf8HXX3+tL++//z4+/fRTHD58+Af3UV9fD7PZjF69ekHTNPz5z3/Gnj172tyGH9r+yJEjMXDgQPzqV79CXV0dFEXBjh07WjwlsG/fPjz33HM4fPgwNE1DXV0dNmzYgNTUVMTExGDkyJFITEzEb37zGzQ0NEAIgSNHjuDDDz8E4D51UFxcjI0bN8LpdOLs2bPYvn273s6GhgacOnVK39+8efPw+uuv4/PPP4eiKHjppZdQU1OD9PT0NudPgcejc18s6EQtCAkJwbFjx5Ceno7IyEgkJibi888/x0cffYSrrroKAPDGG2/g3LlzSEpKwtixYzF16lQ88sgjANzdx2vWrEFGRgZiY2PhdDoxePBgffuTJ0/GTTfdhPj4eERFRaGioqJd7du8eTMSExMxd+5c9O3bV1/uuOMO3HDDDfjzn//8g/u44447MHv2bFx//fWIi4vDt99+i7Fjx7a5DT+0fVmW8f777+Ps2bMYOHAgevbsid/85jfQNK3ZtsLDw1FSUoJx48YhIiICAwcOxKlTp/D+++8DcE/z+f777+PYsWO49tprERkZialTp+pH5f369cM///lPvPHGG+jTpw+Sk5OxZcsWAO4BdwsWLMC1116LqKgo7NixAxMmTMBLL72EBQsWICYmBn/729/w4Ycf8nr1TkRRFOTn57Ooe+H90A1wD1wiIro0RqoFQXmEXl5ejjFjxiA1NRWjRo3C3r17m60jhMDDDz+MwYMHY+jQoZg0aVKr59CIiMhYhBCor69v85iPriAoC/qiRYuQmZmJ/fv345FHHsGCBQuarbN161YUFhbi66+/RmlpKaZMmYLHH388AK0lIqIrTVEUfYwKuQVdQT958iR2796NefPmAQBmz54Nm83WbEQqADidTjgcDv2bmvcIVSIiMi6LxYKpU6fCYrEEuilBI+gKemVlJeLi4vRLESRJQmJiYrMBN9OmTcOkSZPQt29fxMbG4tNPP8VTTz3V6nadTifq6+t9FsA9OYfnZ0uxoig+sWdAT2uxy+XyiT3dQZ5YCNEsBuATa5rmE3u+gbYWq6rqEzMn5sScmJPRc3K5XDh16hQ0TetwTkYRdAUdQLPJ9ls6R7J7927s27cPx44dw/fff48pU6ZgyZIlrW5z1apViIyM1JeEhAQA0C/TKSsrQ1lZGQCgtLQU5eXlAICSkhJ9Kszi4mJUVlYCAIqKilBVVQUAKCws1CfjKCgoQF1dHQAgPz9fn4QjLy8PDofDZzIEh8OBvLw8AO4pNvPz8wEAdXV1KCgoAABUV1ejsLAQAFBVVaXP4lVZWYni4mIA7uufS0pKALjHH5SWljIn5sScmJOhczp06BB27twJVVU7lNOXX34Jowi6Ue4nT55ESkoKampqYDabIYRAbGwsdu7c6TOz05IlS5CYmKhfJvTtt98iPT29xTm3AfcRuvf1r/X19UhISEBtbS169Oihf3MzmUw+saIokCRJj2VZhizLrcYulwsmk0mPzWYzJEnSY8D9jdA7tlgsEELosecbpyfWNA1ms7nVWFVVCCH0uKU8mBNzYk7MiTk1z6m2thYxMTGGGOXu14L+wQcf4Mc//nGHtzNx4kTMnz8f8+fPx5YtW/DCCy9g586dPuv87ne/w8cff4wPPvgAFosFq1evxvbt233mYr4YI12qQETU1WiahurqavTs2bNDs/oZqRZ0uKDfeuutkCQJQgjs378fAwcO1LtQLtV3332H+fPno6amBhEREdi8eTMGDx6MhQsXYvr06Zg+fTqcTieWLFmC7du3IyQkBLGxscjOzm42P3NrjPQmEhF1NYqioLCwEOPHj+/Q9K9GqgUdLujLly/HDTfcgJkzZ2LZsmVYu3atv9p2WRnpTSQioktjpFrQ4UFxv/3tb6EoCh5//HE0NTX5o01EREQXpWkajh071uJUwl2VX0a5Z2Rk4N5778XAgQP9sTkiIqKL0jQNBw8eZEH3EnSj3K8UI3WzEBHRpTFSLfDrjWTLysrwzDPP4NChQz4X63uuGyQiIvIHTdNQWVmJhIQE3rv+PL8W9Dlz5uAXv/gF7r33XphMJn9umoiISOc5hx4fH8+Cfp5fC7rFYsHDDz/sz00SERE1YzabMWbMmEA3I6j49WvNHXfcgY8++sifmyQiImpGVVUcOHBAnw2O/HyEPmXKFMyYMQMmkwlWqxVCCEiShJMnT/pzN0RE1MUJIXD69Ok2TybWFfi1oC9atAibNm3CiBEjeA6diIguG7PZjJEjRwa6GUHFrwU9JiYGGRkZ/twkERFRM567rKWkpPAA8jy/nkOfNWsWNm7ciNraWpw9e1ZfiIiI/O3cuXOBbkJQ8evEMt6XDnhu2CJJUlAOWjDSZAJE9MMaGhoQHh4e6GZQkDFSLfDrEbrnXrWe+9p6fhIRBdL69esRGRmJ9evXB7op5CeqqmLPnj2sMV78WtAdDkez506dOuXPXRARtcv69euxdOlSCCGwdOlSFnUyLL8W9LvuusvncV1dHe644w5/7oKIqM08xdwbi7oxmEwmDBkyhAPivPi1oA8cOBBZWVkAgMbGRqSnp+P+++/35y6IiNqkoaEBy5Yta/G1ZcuWoaGh4Qq3iPxJVVWUlJSwy92LXwv66tWrceLECTz33HOYMWMG5syZg4ULF7Z7O+Xl5RgzZgxSU1MxatQo7N27t9k6n332Gbp164bhw4frC0c8EpFHeHg41q5d2+Jra9eu5QA5AwgLCwt0E4KKX65D97407eWXX8add96JKVOmIDMzE2fPnkW3bt3atb1FixYhMzMT8+fPx5YtW7BgwQJ88cUXzda77rrr8NVXX3W4/URkTJ4eQ+9u93Xr1unPU+dlMpkwaNCgQDcjqPjlCL179+4IDw9H9+7d0bt3b3z11Vd47rnn9Ofb4+TJk9i9ezfmzZsHAJg9ezZsNhsOHz7sj6YSUReTlZWFdevWQZIkFnMDURQFu3bt8rlVd1fnl4J+4WVqF16+1h6VlZWIi4uD2ezuPJAkCYmJiaioqGi27nfffYcRI0Zg5MiR+MMf/nDR7TqdTtTX1/ssAPT2qaraYqwoik+sadpFY5fL5RN7LvP3xEKIZjEAn1jTNJ/Y8wfbWqyqqk/MnJgTc/LN6YEHHsDRo0fx3//934bJyYjvU3ty0jQNkZGR+lwnHcnJKPxS0M+cOaPHNTU1Hd6eJEk+j1ua+2bEiBE4evQodu/ejXfeeQcbN27Em2++2eo2V61ahcjISH1JSEgAAOzZswcAUFZWhrKyMgBAaWkpysvLAQAlJSWw2WwAgOLiYlRWVgIAioqKUFVVBQAoLCxEdXU1AKCgoAB1dXUAgPz8fH3gTV5eHhwOBxRFQV5eHhRFgcPhQF5eHgD3AJ78/HwA7qsDCgoKAADV1dUoLCwEAFRVVaGoqAiA+4tPcXExAMBms6GkpASAe/xBaWkpc2JOzMkrp61bt6Jfv3744x//aJicjPg+tSeniooK2O12mEymDuX05ZdfwjBEBy1ZskRMnz5dPProo0IIIe6///4Obe/EiRMiIiJCuFwuIYQQmqaJPn36CJvNdtF/9+yzz4olS5a0+rrD4RB2u11fKisrBQBRW1srhBBCURShKEqz2OVy+cSqql40bmpq8ok1TfOJNU1rFnvy9MSqqvrEnt9Fa7GiKD5xS3kwJ+bUVXNat26dCA0NFQCELMti/fr1nT4nI75P7c3J4XCIHTt26G291JxqamoEAGG320Vn1+GCPm/ePCGEEHl5eWLlypUdLuhCCDFhwgTx6quvCiGEeOutt8To0aObrfP999/rb0h9fb0YM2aMyMnJafM+7Ha7Yd5EImrZunXrBIBmy7p16wLdNOogVVXF4cOH9TpwqYxUCzrc5W61WgEAd955J2JjY7Ft27aObhLZ2dnIzs5GamoqVq9ejZycHADAwoULsXXrVgDA22+/jeuvvx7Dhg3DTTfdhFtvvRW//OUvO7xvIjIGXodubLIsIykpyeceIl1dh2/OUlhYiPHjx+uP//GPf+AnP/lJhxt2uRlpQn4iallLM8UBvHTNCBRFQVFREcaMGaMPor4URqoFHf5q413MASAtLa2jmyQi8gvPJWveWMyNQZZlDBgwgEfoXvz+m3j++ef9vUkiokvG69CNSZZlxMfHs6B76XCXe1JSEgYOHAjAfXnZd9991+I148HGSN0sRPTDeD90Y1EURT/lyy53tw5P/XrrrbfiT3/6k/6YN2MhQ7hgLgTq/FjKjUWWZQypquIRupcOH6HX1dUhKirKT825coz0rYwuAxZ0w2kAi7rhdKx8ATBWLejwVxvvYl5RUYEdO3Zgx44dnaLbnYi6hvUAIs//JGNwhYbi448/1qeLJT/dbW3fvn249957YbPZkJiYCCEEKisrcfXVVyMnJwfXXnutP3ZDRNRu6wEsPR97fnJYXOdnamrCyJEjYTKZAt2UoOGXgj5//nw8/PDDmD17ts/zW7ZswT333KPPvUtEdCV5F3MPz2MW9c5N1jRER0cHuhlBxS+jCU6fPt2smANARkYG7Ha7P3ZBRNQuDQBanifO/TznievcXGFh2LZtG7vcvfiloPfs2RN//etf9dvRAe5b223evBkxMTH+2AURUbuEA1jbymtrwQFynZ3Z6cS4ceM6dMma0fjlN7F582YsWrQIWVlZiIuLgyRJOHr0KNLS0rBp0yZ/7IKIqN083epLvZ5bB3a3G4GkaZ1+VLq/dfiyNW+nTp3S7zGbkJCAXr16+WvTfmekSxXoMuBla4byEwDvAJgF4B8Bbgv5hyssDHm5uUhPT4fFYrnk7RipFvi1oHcmRnoT6TJgQTeMCwfGrQOP0I1ASBIcZ84gNDQUUgf+vxqpFlz2KXZSU1Mv9y6IiFrU2ih3Xo9uAELw/PkF/PLb2Lt3b6uvNTY2+mMXRETt8kOj3O8FB8Z1ZkpYGPLy8jrc5W4kfinoQ4YMQXJyMlrqva+urm739srLy3HPPfeguroaUVFR2LRpE6677jqfdQoKCvDYY4+hoaEBsixjxowZePrppzvU9UJExuEZ5b60hdc4yr3zM587h/T0dB6le/HLbyIpKQk7duxAXFxcs9cSEhLavb1FixYhMzMT8+fPx5YtW7BgwQJ88cUXPuv06NEDubm56N+/PxwOB2655Rbk5ubi7rvvvuQ8iMhYOMrdwCQJiqKwoHvxyzn06dOn49ChQy2+NmPGjHZt6+TJk9i9ezfmzZsHAJg9ezZsNhsOHz7ss15aWhr69+8PAAgNDcXw4cNbbQMRdV1ZcBdxCSzmRqKEhiI/Px+KogS6KUHDLwV9/fr1uPnmm1t8bcOGDe3aVmVlJeLi4vRvXZIkITEx8aI3ezl+/Di2bNmC9PT0VtdxOp2or6/3WQBAVVX9Z0uxoig+sWfynNZil8vlE3tOQ3hiIUSzGIBPrGmaT+z5g20tVlXVJ2ZOfsgJ7stiBNyjaV1hYe6cZFmPNVmGKzRUjxVPbDJBsVrdsdmsx6rZDCUkRI9VT2yxQD1/DlANCYF6/m9f8Y6tVmje8fn5q5XQUGjnbx/p8o7DwiC8Y0nq0jk9EBoKO4D/NlBORnyf2pOT7HJh6tSpsFgsHf6MMIqgvJHshefBL3ZlXX19PaZNm4ZHHnkEI0aMaHW9VatWITIyUl88pwL27NkDACgrK0NZWRkAoLS0FOXl5QCAkpIS2Gw2AEBxcbF+nX1RURGqqqoAAIWFhfpYgYKCAtTV1QEA8vPz0dDgnmAyLy8PDocDiqIgLy8PiqLA4XAgLy8PANDQ0ID8/HwA7lvSFhQUAHCPQSgsLAQAVFVVoaioCID7i49njnybzYaSkhIA7vEHpaWlzKmjOZ2/xlUJC4MjOhp5ubnunOLjkZ+T484pJQUF57+wVg8disI1a9w5jR6NopUr3TlNnIjiRx9155SejpIs9/FheUYGSu+7z53TvHkoO98jVXrffSjPyHDnlJUF2/kvqcWPPorKiRPdOa1ciarRo905rVmD6qFD3Tlt2IC6lBR3Tjk5aIiPd+eUmwtHdHSXzyncgDkZ8X1qc05Tp6K4uBhCiA59Rnz55ZcwDBFkTpw4ISIiIoTL5RJCCKFpmujTp4+w2WzN1q2vrxc/+tGPxFNPPfWD23U4HMJut+tLZWWlACBqa2uFEEIoiiIURWkWu1wun1hV1YvGTU1NPrGmaT6xpmnNYk+enlhVVZ/Y87toLVYUxSduKQ/m1M6cANEUFiY0QGiSJJrCwoQAhCbLeqzKsmgKDdVjlyc2mYTLanXHZrMeK2azcIWE6LHiiS0WoVgs7jgkRChmsxCAcHnHVqtQvWOTyR2HhgpVloUARJN3HBYmNO9YkpgTczJUTufCw8X7778vmpqaOvQZUVNTIwAIu90uOrugnFhm4sSJmD9/vj4o7oUXXsDOnTt91mlsbMTtt9+O2267DStWrGj3Pow0mQBdBrxagij4+aF8GakWBGWXe3Z2NrKzs5GamorVq1cj53yXzMKFC7F161YA7vP2xcXFeOeddzB8+HAMHz4czzzzTCCbTUREV4gmy6itrfW5KVhXF5RH6FeCkb6V0WXAI3SioOYKDUXBu+9i8uTJnMv9PF7AR0REnY7F4cDtt98e6GYElaDsciciIroYTZZx8uRJdrl7YUEnIqJORwsJwZ49e1jQvbDLnYiIOh2zw4HJkycHuhlBhUfoRETU6WgmE44dO8YjdC8s6ERE1OloZjMOHjzIgu6FBZ2oBQ2BbgARXZTZ6cT48eN5tzUvLOhEF1i/fj0iAawPdEOIqFWa2YwjR47wCN0LCzqRl/Xr12Pp0qUQcN9Dm0WdKDjxHHpz7KsgOs9TzL15HvEe2kTBxex0YsyYMYFuRlDhEToR3Ld6vbCYeywFz6kTBRvVbMaBAwf0e5wTCzoRAOj3Q2/19SvUDiJqGyHLOH36NLro7UhaxC73DuI9PIwiDsD1AL5p9sr1518louBhbmrCyJEjA92MoMIjdCIA7mPwPS2+sgc8QicKNqrZjH379rHL3QsLOhEAIBzA2hZfWXv+VSIKIrKMc+fOBboVQYVd7kQ6z1j2pfoz68AR7kTByNTUhLS0tEA3I6gE5RF6eXk5xowZg9TUVIwaNQp79+5tcb2cnBykpKRgwIAByMzMhKIoV7ilZDxZANZBAos5UTBTLRbs2bOHXe5egrKgL1q0CJmZmdi/fz8eeeQRLFiwoNk6NpsNy5cvx44dO3DgwAEcP34cOTk5AWgtGU8W7GAxJ6LOJegK+smTJ7F7927MmzcPADB79mzYbDYcPnzYZ70tW7Zg1qxZ6NOnDyRJwuLFi5GbmxuAFpMR8Zw5UXAzuVwYMmQITCZToJsSNILuHHplZSXi4uL0CfclSUJiYiIqKiqQnJysr1dRUYGkpCT9cXJyMioqKlrdrtPphNPp1B/b7XYAwOnTpwFA77YxmUw+saIokCRJj2VZhizLegzIsFoVNDXJEEKG1epCU5MJQsgIDXXB6TRDCAmhoS44HO6cQkOVC2ILJEnAavXEGkJCVDidnliD02mGLGswmzU0NZlhMmkwmTyxClkWcLk8MeBymWA2u/NQFBMsFhWaBqiqCRaLAk2ToKomhIQoUFUZqiojJESBosjQNOZkB6CEhsLscLj3FxoKi8MBIUlQrFZYHA5okgQ1JAQWpxOaJEELCYHZ6YQmy9DMZpibmqCZTNBMJpibmqCaTBCyDLPLBdVkAmQZJpcL6vm/dZOiQLVYAE2DSVWhWCyQPHFICGRVheyJFQWypkGxWiE3NUEWAi6rFSZPHBoKs9MJyRN75cGcmJMRcmoKC8O3//43hg4dqn+uX/j53ZbP8traWgAwxPXsQVfQAXcR99baL9p7vR96M1atWoWVK1c2e977S8Kl8vqe4BOf/9ttUyyEb+zZjnesaUBTkztWVfdysdh7SIHL1XLs2d6FcVfPKcqISTEn5mSknM6dAyZOhL80NDQgMjLSb9sLhKAr6AkJCTh69CgURYHZbIYQApWVlUhMTPRZLzEx0acb/siRI83W8fbYY4/hoYce0h9rmoba2lrExMQ0+wJBRETBrb6+HgkJCaisrERERMQlb0cIgYaGBsTFdf7po4KuoPfu3RtpaWl47bXXMH/+fLz99ttITk5udiQ9e/Zs3HzzzXjiiSfQu3dvbNy4EXPnzm11u1arFVar1ee5qKioy5ABERFdKRERER0q6AA6/ZG5R9ANigOA7OxsZGdnIzU1FatXr9ZHry9cuBBbt24FAPTv3x8rV67E2LFjMWDAAPTu3bvF0fBERERdgSSMMBKAiIi6lPr6ekRGRsJut3f4CN0ogvIInYiI6GKsVitWrFjR7FRqV8YjdCIiIgPgEToREZEBsKATEREZAAs6ERGRAbCgExERGQALOhERkQGwoBMRERkACzoREZEBsKATEREZAAs6ERGRAQRdQX/wwQeRnJwMSZKwZ8+eVtfLyclBSkoKBgwYgMzMTCje9/UlIiLqYoKuoGdkZGDHjh1ISkpqdR2bzYbly5djx44dOHDgAI4fP67fkY2IiKgrCrqCPn78ePTr1++i62zZsgWzZs1Cnz59IEkSFi9ejNzc3CvUQiIiouBjDnQDLkVFRYXPEXxycjIqKiou+m+cTiecTqf+WNM01NbWIiYmBpIkXba2EhFR8BJCoKGhAXFxcZDloDvGbZdOWdAB+BThttwwbtWqVVi5cuXlbBIREXVSlZWVP9g7HOw6ZUFPTEzE4cOH9cdHjhxBYmLiRf/NY489hoceekh/bLfb9e306NEDqqoCAEwmk0+sKAokSdJjWZYhy3Krscvlgslk0mOz2QxJkvQYABRF8YktFguEEHqsaRpUVdVjTdNgNptbjVVVhRBCj1vKgzkxJ+bEnIyUk9PpxK5du3DTTTfpB3iXklNtbS2uvvpqhIeHo7PrlAV99uzZuPnmm/HEE0+gd+/e2LhxI+bOnXvRf2O1WmG1Wps936NHD0RERFyuphIR0WWgaRqGDRuGqKgov3SVG+HUa9CdMPjVr36Ffv364ejRo7jllltwzTXXAAAWLlyIrVu3AgD69++PlStXYuzYsRgwYAB69+6NBQsWBLLZRER0BcmyjPj4+E5/3tufJNGWE9AGVF9fj8jISNjtdh6hExF1MoqioLCwEOPHj9e78i+FkWoBv9oQEVGnI8syhgwZwiN0L53yHDoREXVtsiyjd+/egW5GUOFXGyIi6nRcLhc+/vhjuFyuQDclaLCgExFRp2MymTBy5EiYTKZANyVosMudiIg6HVmWER0dHehmBBUeoRMFiSeffBIzZ84MdDMwePBgfPDBB/rjP/7xj4iNjUX37t1RUlLS7HWiQHC5XNi2bRu73L2woBO14rvvvsO0adPQs2dPREREYNCgQXjuuef8su1NmzZh+PDhHdrGk08+CbPZjO7duyMiIgJDhgzBa6+91uG2ffvtt/jxj38MwP2hmZWVhb///e9obGxEWlqaz+vt9eKLLyI1NRXh4eHo1asXbrnlFp9ZHy/V/PnzsXTp0g5vhzoPs9mMcePGdeiSNaNhQSdqxdSpUzFs2DBUVFTg9OnTePvtt9G/f/9AN8vHj3/8YzQ2NqKurg5PPPEE5s+fj7KyMr9t/8SJEzh37hyGDh3a4W299tpreOmll/CPf/wDDQ0NKC8vR2ZmZlDM0KUoSqCbQO0kSRIiIiKC4u8nWLCgE7WguroaBw8exKJFi9CtWzeYTCYMHjwYP/3pT/V1Tpw4gTlz5qBXr15ITEzEr3/9a70wtHQEPnz4cGzatAklJSVYvHgxvvnmG3Tv3h3du3fX7xaoqiqWLFmCqKgoJCYm4u9//3ub2ivLMubMmYOoqCjs3bsX+fn5uPHGGxEZGYnY2Fg88MADOHfunL5+fX09lixZgsTERERERGDkyJGorKwE4L574bvvvouSkhIMHDgQANCvXz8MGDDA53WPTz75BKNHj0ZUVBRiY2OxatWqFtu4c+dOTJkyBUOGDAEAREVFYc6cOT53TvznP/+JUaNGISoqCoMHD9ZnhwTcU33+/ve/x6BBgxAeHo6UlBR89NFH+P3vf4/XX38df/jDH9C9e3cMHjwYANDQ0IDMzEzExsYiNjYWixcvxpkzZwAAhw8fhiRJePXVV3HNNdcgPj6+Tb9nCh4ulwvvvfceu9y9sKATtSAmJgaDBg3CL3/5S7z55ps4cuRIs3XuvvtuWCwW2Gw2bN++He+++y7WrFnzg9tOS0vDxo0bcf3116OxsRGNjY36zYU+/vhjjB07FjU1NXj66aexcOFCNDQ0/OA2VVXF3/72N9jtdgwdOhRhYWH44x//iNraWnz++ef417/+hd/97nf6+vPnz8eBAwewc+dO1NXV4f/+3/+LsLCwZu389ttvAQBHjx7FwYMHm+23pKQEM2bMwCOPPIJTp05h3759mDRpUottvPnmm/Hmm2/imWeeweeffw6Hw+HzemlpKX76059i9erVqK2tRXZ2Nn7+85/ju+++AwBs2LAB69atw+uvv476+np8+umnSEpKwoMPPoif/exneOCBB9DY2Ki3OSsrCwcOHMCePXvwzTffYN++fVi2bJnPPrdu3YqvvvoKNpvtB3/HFFzMZjNuu+02drl7E12U3W4XAITdbg90UyhIVVVViYceekhcd911QpZlce2114r8/HwhhBBHjx4VAERVVZW+/uuvvy5SUlKEEEK8+uqrYtiwYT7bGzZsmHj11VdbfX3FihVi9OjR+mNN00RISIj46quvWmzfihUrhNlsFpGRkSImJkbceOONYsuWLS2uu3btWnHLLbcIIYQ4fvy4ACCOHDnS4rpJSUninXfeEUIIYbPZBABx+vTpFl9fvHix+OUvf9nidlry1ltvifT0dBEZGSm6desmFi5cKBobG4UQQjzwwANi6dKlPuvffffd4qmnnhJCCDFo0CCxefPmFrd7zz33iKysLP2xqqrCarWKnTt36s99/vnnwmq1ClVV9bxKSkra3HYKLpqmiaamJqFpWoe2Y6RawCN0olb07dsXL774Ir799lucOnUKd955J2bNmoXa2locPXoUoaGh6Nu3r75+//79cfTo0Q7v00OSJISFhV30CH3q1Kmoq6tDdXU1du3ahdmzZwMAdu3ahVtuuQV9+vRBREQEHn/8cVRXVwNw327YarX+4C2H2+LIkSNISUlp8/oZGRnYtm0bTp8+jY8//hj5+fl45plnALi7wTdu3IioqCh9ee+99/D999+3e1+nTp2C0+lEcnKy/lz//v3hdDr13wMAv/wOKDAURUFeXh7HP3hhQSdqg+joaDz55JM4c+YMbDYb+vXrB4fDgRMnTujreJ4HgO7du+Ps2bM+2zh+/LgeX+75p++66y5MmjQJhw4dQn19PZ599lmI8/dhSkpKgtPp1M+Zd0RSUhIOHDjQ7n8nSRJuvvlmZGRk4JtvvgEAJCQkICsrC3V1dfrS2NiIV1555Qf3deHvs1evXggJCfEZQW+z2WC1WtGzZ89W/x11HmazGenp6exy98K/ZqIWnD59Gr/5zW+wb98+qKqKs2fP4ne/+x2io6MxaNAgxMfHY9KkSfif//kfnDlzBhUVFXj22Wdxzz33AHAPgDt06BC2b98ORVGwZs0a1NTU6Nvv06cPqqqqfAaq+VN9fT2ioqJw1VVXoaysTC+Knn3PmDEDixcvRlVVFTRNQ0lJiU/72uq+++5Dbm4u3nnnHSiKArvdjp07d7a47quvvor33nsPdXV1AIA9e/bgvffew5gxYwAAixYtwquvvop//etfUFUVTqcTX3zxhT5qf9GiRVi5ciW+/vprCCFQUVGhv9anTx8cOnRI35csy7j77rvx61//GrW1taipqcGvf/1r/PznP2cRNxAenfviXzZRC0JCQnDs2DGkp6cjMjISiYmJ+Pzzz/HRRx/hqquuAgC88cYbOHfuHJKSkjB27FhMnToVjzzyCADgmmuuwZo1a5CRkYHY2Fg4nU599DUATJ48GTfddBPi4+MRFRWlj3L3l+zsbLzwwgvo3r07Fi9ejLlz5/q8vnnzZiQkJODGG29EVFQUFi9efElfLkaMGIG3334bzzzzDKKjo3Httdfi3//+d4vrRkVF4cUXX0T//v0RHh6OmTNn4q677tJ/Z2lpacjNzcVvfvMb9OrVC/Hx8Vi+fDmcTicA4MEHH8T999+POXPmIDw8HLfccov+e1u4cCGOHTuGHj166JfYrV+/HsnJybjuuuswePBgXHPNNT4DA6lzUxQF+fn5LOpeeD90A9wDl4iILo2RakFQHqGXl5djzJgxSE1NxahRo7B3795m6wgh8PDDD2Pw4MEYOnQoJk2adEnn8oiIqPMRQqC+vh5d9Ji0RUFZ0BctWoTMzEzs378fjzzyCBYsWNBsna1bt6KwsBBff/01SktLMWXKFDz++OMBaC0REV1piqLoY1TILegK+smTJ7F7927MmzcPADB79mzYbLYW53t2Op1wOBz6NzXPCGMiIjI2i8WCqVOnwmKxBLopQSPoCnplZSXi4uL0SxEkSUJiYmKzQUPTpk3DpEmT0LdvX8TGxuLTTz/FU0891ep2nU4n6uvrfRbAPcOW52dLsaIoPrGmaReNXS6XT+zpDvLEQohmMQCfWNM0n9jzDbS1WFVVn5g5MSfmxJyMnpPL5cKpU6egaVqHczKKoCvoAJpNtt/SOZLdu3dj3759OHbsGL7//ntMmTIFS5YsaXWbq1atQmRkpL4kJCQAcF86AwBlZWX6JTClpaUoLy8H4J7a0jMtZHFxsX7tblFREaqqqgAAhYWF+mQVBQUF+mU5+fn5+qQgeXl5cDgcPpMhOBwO5OXlAXDPO52fnw8AqKurQ0FBAQD3nOKFhYUAgKqqKhQVFQFwf/EpLi4G4L6+tqSkBIB7/EFpaSlzYk7MiTkZOqdDhw5h586dUFW1Qzl9+eWXMIqgG+V+8uRJpKSkoKamBmazGUIIxMbGYufOnT6zPnluLOG55OXbb79Fenp6i3NuA+4jdM/lL4B7ZGNCQgJqa2vRo0cP/ZubyWTyiRVFgSRJeizLMmRZbjV2uVwwmUx6bDabIUmSHgPub4TescVigRBCjz3fOD2xpmkwm82txqqqQgihxy3lwZyYE3NiTsypeU61tbWIiYkxxCh3vxb0Dz744JLvk+xt4sSJmD9/PubPn48tW7bghRdeaDZZxe9+9zt8/PHH+OCDD2CxWLB69Wps374d27Zta9M+jHSpAhFRV6NpGqqrq9GzZ88OTRZkpFrQ4YJ+6623QpIkCCGwf/9+DBw4UO9CuVTfffcd5s+fj5qaGkRERGDz5s0YPHgwFi5ciOnTp2P69OlwOp1YsmQJtm/fjpCQEMTGxiI7O9vnKP5ijPQmEhF1NYqioLCwEOPHj+/Q9K9GqgUdLujLly/HDTfcgJkzZ2LZsmVYu3atv9p2WRnpTSQioktjpFrQ4UFxv/3tb6EoCh5//HE0NTX5o01EREQXpWkajh07po9WJz+Ncs/IyMC9996LgQMH+mNzREREF6VpGg4ePMiC7iXoRrlfKUbqZiEioktjpFrg1xvJlpWV4ZlnnsGhQ4d8Ltb3XDdIRETkD5qmobKyEgkJCbwl7nl+Lehz5szBL37xC9x7770wmUz+3DQREZHOcw49Pj6eBf08vxZ0i8WChx9+2J+bJCIiasZsNmPMmDGBbkZQ8evXmjvuuAMfffSRPzdJRETUjKqqOHDggD4bHPn5CH3KlCmYMWMGTCYTrFYrhBCQJAknT570526IiKiLE0Lg9OnTbZ5MrCvwa0FftGgRNm3ahBEjRvAcOhERXTZmsxkjR44MdDOCil8LekxMDDIyMvy5SSIiomY8d1lLSUnhAeR5fj2HPmvWLGzcuBG1tbU4e/asvhAREfnbuXPnAt2EoOLXiWW8Lx3w3LBFkqSgHLRgpMkEiIjo0hipFvj1CN1zr1rPfW09P4mIiPxJVVXs2bOHNcaLXwu6w+Fo9typU6f8uQsiIiJqgV8L+l133eXzuK6uDnfccYc/d0F0RTQ0NAS6CUR0ESaTCUOGDOGAOC9+LegDBw5EVlYWAKCxsRHp6em4//77/bkLostu/fr1iIyMxPr16wPdFCJqhaqqKCkpYZe7F78W9NWrV+PEiRN47rnnMGPGDMyZMwcLFy5s93bKy8sxZswYpKamYtSoUdi7d2+zdT777DN069YNw4cP1xeOeKSOWr9+PZYuXQohBJYuXcqiThTEwsLCAt2EoOKX69C9L017+eWXceedd2LKlCnIzMzE2bNn0a1bt3Ztb9GiRcjMzMT8+fOxZcsWLFiwAF988UWz9a677jp89dVXHW4/EfD/F3NvnseeniciCg4mkwmDBg0KdDOCil8uW5Nl2ecyNe9NtveytZMnTyI1NRXV1dUwm80QQiA2NhY7d+70meLvs88+w//8z/9cckE30qUK1HENDQ2IjIxES/8dJEmC3W5HeHh4AFpGRC1RFAUlJSVIS0uD2Xzpx6ZGqgV+6XK/8DK1Cy9fa4/KykrExcXpb5AkSUhMTERFRUWzdb/77juMGDECI0eOxB/+8IeLbtfpdKK+vt5nAaC3T1XVFmNFUXxiTdMuGrtcLp/YUyA8sRCiWQzAJ9Y0zSf23Fu+tVhVVZ+YObU/p+7du2PmzJkICwuDJEkA/v/uvJkzZyI0NLTT5WTE94k5MSfvODIyUj9o7EhORuGXgn7mzBk9rqmp6fD2PB+oHi0dNY0YMQJHjx7F7t278c4772Djxo148803W93mqlWrEBkZqS8JCQkAgD179gAAysrKUFZWBgAoLS1FeXk5AKCkpAQ2mw0AUFxcjMrKSgBAUVERqqqqIEnAK68U4oYbqiFJwF/+UoDrrquDJAFbtuQjKakBkgTk5eWhVy8HrrpKQV5eHq66SkGvXg7k5eVBkoCkpAZs2ZIPSQKuu64Of/lLASQJuOGGarzySiEkCRg3rgovvlgESQJuv70STz9dDEkCfvITGx5/vASSBMybV46srFJIEnDffWW4774ySBKQlVWKefPKIUnA44+X4Cc/sUGSgKefLsbtt1dCkoAXXyzCuHFdNafjeOedd5Gbm4vo6GiEhYUhNzcXYWFhKCzc3klzMuL7dOk5AUB1dTUKCwsBAFVVVSgqKgLgPpAoLi4GANhsNpSUlABwj+cpLS3t0GcEABQWFqK6uhoAUFBQgLq6OgBAfn6+fkVFXl4eHA4HFMWdk6IocDjcOQHuXqT8/HwA7iuICgq6dk4VFRWw2+0wmUwdyunLL7+EYYgOWrJkiZg+fbp49NFHhRBC3H///R3a3okTJ0RERIRwuVxCCCE0TRN9+vQRNpvtov/u2WefFUuWLGn1dYfDIex2u75UVlYKAKK2tlYIIYSiKEJRlGaxy+XyiVVV9YkBIUJDXUKWPXGTHoeFNQlZ1vRYkjQBaCIsrEkAmpAkTyyELHvHqggN9Y5dAhDCZFKF1eqOzWbvWBEhId6xIgAhLBZFWCzuOCREEWazJ3bpsdXqEmazqscmU1fOaZYICwsTkiQJACIsLEwAEJI0qxPnZMT36dJyEkIIVVX1z5bWYkVRfOKWPhfa8xlxYdzU1OQTa5rmE2ua1iz2fBZ6YlVVfeKumJPD4RA7duzQ23qpOdXU1AgAwm63i86uw+fQf/7zn+Ovf/0rPvzwQ+zatQvHjx//we7vHzJx4kTMnz9fHxT3wgsvYOfOnT7rVFVVoU+fPpBlGQ0NDbjjjjuwYMEC3HvvvW3ah7/Om1zQmUCdVgOASAAt/XeQANgB8Bx6Z+a/Sa4pGGiahsrKSiQkJPhMO95ePIfuxWq1AgDuvPNOxMbGYtu2bR1uVHZ2NrKzs5GamorVq1cjJycHALBw4UJs3boVAPD222/j+uuvx7Bhw3DTTTfh1ltvxS9/+csO75u6qnAAa1t5bS1YzImCiyzLSEpK6lAxN5oOH6EXFhZi/Pjx+uN//OMf+MlPftLhhl1uPEKnlv0EwDtej2cB+EeA2kL+xCN0Y1EUBUVFRRgzZgxHuZ/X4a823sUcANLS0jq6SaIAWQ/fYo7zjzm5DFGwkWUZAwYM4BG6F7//Jp5//nl/b5LoCmgAsKyV15adf52IgoUsy4iPj2dB99LhmeKSkpIwcOBAAO7Ly7777rsOD4ojuvI859CXtvAaz6ETBRtFUfRTvh3pcjeSDv8Wbr31VvzpT3/SH/NmLNR5eaZ3Xer13Dqv54koWMiyjCFDhvAI3UuHB8XV1dUhKirKT825cjgojlq3Hu5u9rVgMTcODoqjlhhpUFyHj9C9i3lFRYU+RWtiYiISExM7unmiAMgCcC/YzU4UvFwuFwoKCjB58mRYLJZANyco+OXEw759+3DvvffCZrMhMTERQghUVlbi6quvRk5ODq699lp/7IboCmIxJwpmJpMJI0eOhMlkCnRTgoZfCvr8+fPx8MMPY/bs2T7Pb9myBffcc48+9y4REZE/yLKM6OjoQDcjqPhlNMHp06ebFXMAyMjIgN1u98cuiIiIdC6XC9u2bdPv0EZ+Kug9e/bEX//6V/12dIB7nt3NmzcjJibGH7sgIiLSmc1mjBs3jpesefHLb2Lz5s1YtGgRsrKyEBcXB0mScPToUaSlpWHTpk3+2AUREZFOkqROPyrd3/xS0K+55hp8+umnOHXqlH6P2YSEBPTq1csfmyciIvLhcrmQl5eH9PR0jnI/z699Fb169WIRJyKiy85sNuO2225jl7uXyz7FTmpq6uXeBRERdUEs5r788tvYu3dvq681Njb6YxdEREQ6RVHY5X4BvxT0IUOGIDk5GS3NIltdXd3u7ZWXl+Oee+5BdXU1oqKisGnTJlx33XU+6xQUFOCxxx5DQ0MDZFnGjBkz8PTTT0PiXKxERIZnNpuRnp7Oo3QvfvlNJCUlYceOHYiLi2v2WkJCQru3t2jRImRmZmL+/PnYsmULFixYgC+++MJnnR49eiA3Nxf9+/eHw+HALbfcgtzcXNx9992XnAcREXUeiqKwoHvxyzn06dOn49ChQy2+NmPGjHZt6+TJk9i9ezfmzZsHAJg9ezZsNhsOHz7ss15aWhr69+8PAAgNDcXw4cNbbQMRERmLoijIz8+HoiiBbkrQ8EtBX79+PW6++eYWX9uwYUO7tlVZWYm4uDj9W5ckSUhMTNRv+tKS48ePY8uWLUhPT291HafTifr6ep8FAFRV1X+2FCuK4hN7Js/xjkNDFciyJ3bpcViYC7Is9FiSBACBsDAXAAFJ8sSALHvHGkJDvWP3H6zJpMFqdcdms3esIiTEO3a312JRYbG445AQFWazJ1b02GpVYDZremwyMSfmZNycNE3TC0BrsaqqPrE/PiO8Y5fL5RN7TlV6YiFEsxiAT6xpmk/cFXOSZRlTp06FxWLpcE5GEZQ3kr3wPPjF7vBaX1+PadOm4ZFHHsGIESNaXW/VqlWIjIzUF8+pgD179gAAysrKUFZWBgAoLS1FeXk5AKCkpAQ2mw0AUFxcrF9nX1RUhKqqKgDAmjWFGDrUPVZgw4YCpKTUAQBycvIRH98AAMjNzUN0tANhYQpyc/MQFqYgOtqB3Nw8AEB8fANycvIBACkpddiwoQAAMHRoNdasKQQAjB5dhZUriwAAEydW4tFH3XPkp6fbkJVVAgDIyCjHffeVAgDmzSvDvHnunO67rxQZGe6csrJKkJ7uzunRR4sxcaI7p5UrizB6NHNiTsbNqbq6GoWF7pyqqqpQVOTOqbKyUr/nhM1mQ0mJO6fy8nKUlrpz6shnRGFhoT6eqKCgAHV17pzy8/PR0ODOKS8vDw6HQx/spSgKHA4H8vLcOTU0NCA/351TXV0dCgqYU3FxMYQQHcrpyy+/hGGIIHPixAkREREhXC6XEEIITdNEnz59hM1ma7ZufX29+NGPfiSeeuqpH9yuw+EQdrtdXyorKwUAUVtbK4QQQlEUoShKs9jlcvnEqqr6xIAQoaEuIcueuEmPw8KahCxreixJmgA0ERbWJABNSJInFkKWvWNVhIZ6xy4BCGEyqcJqdcdms3esiJAQ71gRgBAWiyIsFnccEqIIs9kTu/TYanUJs1nVY5OJOTEnY+YkhBCqquqfLa3FiqL4xC19LrTnM+LCuKmpySfWNM0n1jStWez5LPTEqqr6xF0xp3Pnzon3339fNDU1dSinmpoaAUDY7XbR2UlCXOTwN0AmTpyI+fPn64PiXnjhBezcudNnncbGRtx+++247bbbsGLFinbvw183teegeqLOIfg+6SgY+KsWBIOg7HLPzs5GdnY2UlNTsXr1auTk5AAAFi5ciK1btwJwn7cvLi7GO++8g+HDh2P48OF45plnAtlsIiK6QjRNQ21trc9Nwbq6oDxCvxJ4hE7UtXTNTzrjcrlcKCgowOTJkzs0sYyRjtB5AR8REXU6FosFt99+e6CbEVSCssudiIjoYjRNw8mTJ9nl7oUFnYiIOh1N07Bnzx4WdC/sciciok7HbDZj8uTJgW5GUOEROhERdTqapuHYsWM8QvfCgk5ERJ2Opmk4ePAgC7oXdrkTEVGnYzabMX78+EA3I6jwCJ2IiDodTdNw5MgRHqF7YUEnIqJOh+fQm2OXOxERdTpmsxljxowJdDOCCo/QiYio01FVFQcOHNDvcU4s6ERE1AkJIXD69Gl00duRtIgFnYi6hIaGhkA3gfzIbDZj5MiRMJt55tiDBZ2IuoD1iIyMxPr16wPdEPITVVWxb98+drl74VcbIjK49QCWQghg6dKlAICsrKyAtoj849y5c4FuQlBhQSciA3MXc28s6sZgMpmQlpYW6GYElaDsci8vL8eYMWOQmpqKUaNGYe/evS2ul5OTg5SUFAwYMACZmZlQFOUKt5SIglcDgGUtvrJs2TKeU+/kVFXFnj172OXuJSgL+qJFi5CZmYn9+/fjkUcewYIFC5qtY7PZsHz5cuzYsQMHDhzA8ePHkZOTE4DWElFwCgewtsVX1q5di/Dw8CvbHKLLTBJBNub/5MmTSE1NRXV1NcxmM4QQiI2Nxc6dO5GcnKyv9/zzz+Pw4cN4+eWXAQB5eXlYs2YNPvvsszbtp76+HpGRkbDb7YiIiLjk9krSJf9TIroi4gBU6Y9iY2Px/fffB645FFT8VQuCQdCdQ6+srERcXJx+KYIkSUhMTERFRYVPQa+oqEBSUpL+ODk5GRUVFa1u1+l0wul06o/tdjsA4PTp0wCgd9uYTCafWFEUSJKkx7IsQ5ZlPQZkWK0KmppkCCHDanWhqckEIWSEhrrgdJohhITQUBccDndOoaHKBbEFkiRgtXpiDSEhKpxOT6zB6TRDljWYzRqamswwmTSYTJ5YhSwLuFyeGHC5TDCb3XkoigkWiwpNA1TVBItFgaZJUFUTQkIUqKoMVZUREqJAUWRoGnNiTkbJaTwk6ThCQqxwOp2QJAm1tbUYPHgwPv/8c2iaBrPZDE3T9FhVVQgh9Lilz4X2fEZcGLtcLphMJj02m82QJEmP3b83xSe2WCwQQuixpmlQVVWPW8rD6Dk1NTXh22+/xdChQ/XP9UvJqba2FgAMcT170BV0wF3EvbX2i/Ze74fejFWrVmHlypXNnvf+knCpvL4n+MQOR9tjIXxjz3a8Y00Dmprcsaq6l4vF3kMKXK6WY8/2LoyZE3MyVk7O87GA0+nE3r170aNHDxB5NDQ0IDIyMtDN6JCgK+gJCQk4evSo/m1OCIHKykokJib6rJeYmIjDhw/rj48cOdJsHW+PPfYYHnroIf2xpmmora1FTExMsy8QREQU3Orr65GQkIDKysoOdZULIdDQ0IC4uDg/ti4wgq6g9+7dG2lpaXjttdcwf/58vP3220hOTm52JD179mzcfPPNeOKJJ9C7d29s3LgRc+fObXW7VqsVVqvV57moqKjLkAEREV0pERERHT733dmPzD2CcpR7dnY2srOzkZqaitWrV+uj1xcuXIitW7cCAPr374+VK1di7NixGDBgAHr37t3iaHgiIqKuIOhGuRMREf0QI41O95egPEInIiK6GKvVihUrVjQ7ldqV8QidiIjIAHiETkREZAAs6ERERAbAgk5ERGQALOhEREQGwIJORERkAEE3UxwREVFL6urq8PHHH+PYsWOQJAmxsbG4/fbbOS//eTxCJyKioJeTk4NRo0Zh586d+p3Zdu7ciZtuukmfTbSr43XoREQU9AYOHIj//Oc/6N69u8/zDQ0NuOGGG7B///4AtSx48AidiIiCniRJaGxsbPZ8Y2Mj75h5Hs+hExFR0HvhhRcwYcIEDBkyBPHx8QCAo0eP4ttvv8WLL74Y4NYFB3a5ExFRp6CqKoqLi/H9999DCIH4+HiMGjUKJpMp0E0LCizoRETUKW3YsAFLliwJdDOCBs+hExFRp/TnP/850E0IKizoRETUKbGD2Re73ImIqFNyuVywWCyBbkbQ4BE6ERF1Sp5i/uijjwa4JcGBR+hERBT0zp492+LzQggMGjQIlZWVV7hFwYfXoRMRUdALDw9HUlKSz3lzSZIghMCJEycC2LLgwYJORERBb8CAAfjkk0+QlJTU7LWEhIQAtCj48Bw6EREFvf/93/9tcepXAFi5cuUVbk1w4jl0IiIiA+AROhERdUq33XZboJsQVFjQiYioUzp16lSgmxBUWNCJiKhTuuOOOwLdhKDCc+hEREQGwMvWiIgo6PXv39/nsRBCvw5dkiQcOnQoQC0LHizoREQU9AYOHIjq6mrMnDkTP/3pTxEfHx/oJgUddrkTEVGncPr0abzzzjvYsmULnE4nZs2ahblz56Jnz56BblpQYEEnIqJOpampCW+88Qb+z//5P1ixYgUefPDBQDcpKLDLnYiIgp6iKMjPz8ebb76JsrIy3HbbbSgoKMCwYcMC3bSgwSN0IiIKetHR0UhISMCcOXMwfPhwSJLk83p6enqAWhY8WNCJiCjozZ8/v1kR95AkCX/+85+vcIuCDws6ERGRAXCmOCIiCnrvv/8+jhw5oj9esWIFhg4dimnTpuHgwYMBbFnwYEEnIqKg9+tf/xq9evUCALzzzjt444038Oc//xmzZs3CokWLAty64MCCTkREQU+WZXTr1g2Au6BnZmbixhtvxL333ova2toAty44sKATEVHQk2UZtbW1cDqd+OSTT3xunepwOALYsuDB69CJiCjorVixAmlpadA0Dbfffrt+/fn27duRnJwc2MYFCY5yJyKiTkFRFDQ0NKBHjx76c2fOnIEQAt27dw9gy4IDj9CJiKhT+PbbbyFJEnr06IG9e/fiww8/xKBBgzB16tRANy0o8AidiIiC3tNPP428vDy4XC7ccsstKCkpweTJk5Gfn4/x48fjiSeeCHQTA44FnYiIgt7111+P0tJSOBwO9O3bF99//z2uuuoqOJ1OjBw5EqWlpYFuYsBxlDsREQU9k8kESZIQFhaGIUOG4KqrrgIAWK1WyDJLGcCCTkREnUB0dDQaGxsBAJ9//rn+/KlTp2CxWALVrKDCLnciIuq0GhoaYLfb0a9fv0A3JeB4hE5EREEvNzdXj72P0MPDw/Huu+8GoEXBh0foREQU9EaMGIHdu3c3i1t63FXxCJ2IiIKe97HnhcehPC51Y0EnIqKgJ0lSi3FLj7sqdrkTEVHQM5vNiI6OhhACdXV1+vSvQgjY7XY0NTUFuIWBx4JORERkAOxyJyIiMgAWdCIiIgNgQSciIjIAFnQiIiIDYEEnIiIyABZ0IiIiA2BBJyIiMgAWdCIiIgNgQSciIjIAFnQiIiIDYEEnIiIyABZ0IiIiA2BBJyIiMgAWdCIiIgNgQSciIjIAFnQiIiIDYEEnIiIyABZ0IiIiA2BBJyIiMgAWdCIiIgNgQSciIjIAFnQiIiIDYEEnIiIyABZ0IiIiA2BBJyIiMgAWdCIiIgNgQSciIjIAFnQiIiIDYEEnIiIyABZ0IiIiA2BBJyIiMgAWdCIiIgNgQSciIjIAFnQiIiIDYEEnIiIyABZ0IiIiA2BBJyIiMgAWdCIiIgNgQSciIjIAFnQiIiIDYEEnIiIygP8PCN10c7GyCv8AAAAASUVORK5CYII="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "a = Image(\"sea_ice_demo/ex2/MSE_bar_chart.png\")\n",
    "display_png(a)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "499d3935",
   "metadata": {},
   "source": [
    "## 5. Working with multiple models  <a class=\"anchor\" id=\"mm\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51b008db",
   "metadata": {},
   "source": [
    "Along with using multiple realizations, we can include multiple models in a single analysis. The model data must all follow a single filename template. All model inputs must use the same name and units for the sea ice variable.\n",
    "\n",
    "The example below shows how to use three models in the analysis, with all available realizations. The models are listed as inputs to the --test_data_set flag.\n",
    "\n",
    "Want to add more models? Six other model sea ice datasets are available in the directories linked in the notebook introduction.\n",
    "\n",
    "Below process will take about 10 minutes."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "34943f08",
   "metadata": {},
   "source": [
    "<div align=right>\n",
    "<a href=Demo_9_seaIceExtent_ivanova.ipynb#top>Go back to Top</a>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "679d7289",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model list: ['E3SM-1-0', 'CanESM5', 'MIROC6']\n",
      "Find all realizations: True\n",
      "OBS: Arctic\n",
      "Converting units by  multiply 0.01\n",
      "OBS: Antarctic\n",
      "Converting units by  multiply 0.01\n",
      "Model list: ['CanESM5', 'E3SM-1-0', 'MIROC6']\n",
      "\n",
      "=================================\n",
      "model, runs: CanESM5 ['r2i1p1f1', 'r1i1p1f1', 'r3i1p1f1']\n",
      "/p/user_pub/pmp/demo/sea-ice/links_area/CanESM5/*.nc\n",
      "Converting units by  multiply 1e-06\n",
      "\n",
      "-----------------------\n",
      "model, run, variable: CanESM5 r2i1p1f1 siconc\n",
      "test_data (model in this case) full_path:\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/CanESM5/historical/r2i1p1f1/siconc/siconc_SImon_CanESM5_historical_r2i1p1f1_gn_185001-201412.nc\n",
      "Converting units by  multiply 0.01\n",
      "\n",
      "-----------------------\n",
      "model, run, variable: CanESM5 r1i1p1f1 siconc\n",
      "test_data (model in this case) full_path:\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/CanESM5/historical/r1i1p1f1/siconc/siconc_SImon_CanESM5_historical_r1i1p1f1_gn_185001-201412.nc\n",
      "Converting units by  multiply 0.01\n",
      "\n",
      "-----------------------\n",
      "model, run, variable: CanESM5 r3i1p1f1 siconc\n",
      "test_data (model in this case) full_path:\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/CanESM5/historical/r3i1p1f1/siconc/siconc_SImon_CanESM5_historical_r3i1p1f1_gn_185001-201412.nc\n",
      "Converting units by  multiply 0.01\n",
      "\n",
      "-------------------------------------------\n",
      "Calculating model regional average metrics \n",
      "for  CanESM5\n",
      "--------------------------------------------\n",
      "arctic\n",
      "ca\n",
      "na\n",
      "np\n",
      "antarctic\n",
      "sp\n",
      "sa\n",
      "io\n",
      "\n",
      "=================================\n",
      "model, runs: E3SM-1-0 ['r1i2p2f1', 'r2i2p2f1', 'r3i2p2f1', 'r4i2p2f1']\n",
      "/p/user_pub/pmp/demo/sea-ice/links_area/E3SM-1-0/*.nc\n",
      "Converting units by  multiply 1e-06\n",
      "\n",
      "-----------------------\n",
      "model, run, variable: E3SM-1-0 r1i2p2f1 siconc\n",
      "test_data (model in this case) full_path:\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_185001-185912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_186001-186912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_187001-187912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_188001-188912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_189001-189912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_190001-190912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_191001-191912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_192001-192912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_193001-193912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_194001-194912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_195001-195912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_196001-196912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_197001-197912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_198001-198912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_199001-199912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_200001-200912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r1i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r1i2p2f1_gr_201001-201112.nc\n",
      "Converting units by  multiply 0.01\n",
      "\n",
      "-----------------------\n",
      "model, run, variable: E3SM-1-0 r2i2p2f1 siconc\n",
      "test_data (model in this case) full_path:\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_185001-185912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_186001-186912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_187001-187912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_188001-188912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_189001-189912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_190001-190912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_191001-191912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_192001-192912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_193001-193912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_194001-194912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_195001-195912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_196001-196912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_197001-197912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_198001-198912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_199001-199912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_200001-200912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r2i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r2i2p2f1_gr_201001-201312.nc\n",
      "Converting units by  multiply 0.01\n",
      "\n",
      "-----------------------\n",
      "model, run, variable: E3SM-1-0 r3i2p2f1 siconc\n",
      "test_data (model in this case) full_path:\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_185001-185912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_186001-186912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_187001-187912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_188001-188912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_189001-189912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_190001-190912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_191001-191912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_192001-192912.nc\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO::2024-04-25 11:08::pcmdi_metrics:: Results saved to a json file: /home/ordonez4/git/pcmdi_metrics/doc/jupyter/Demo/sea_ice_demo/ex3/sea_ice_metrics.json\n",
      "2024-04-25 11:08:50,388 [INFO]: base.py(write:251) >> Results saved to a json file: /home/ordonez4/git/pcmdi_metrics/doc/jupyter/Demo/sea_ice_demo/ex3/sea_ice_metrics.json\n",
      "2024-04-25 11:08:50,388 [INFO]: base.py(write:251) >> Results saved to a json file: /home/ordonez4/git/pcmdi_metrics/doc/jupyter/Demo/sea_ice_demo/ex3/sea_ice_metrics.json\n",
      "INFO::2024-04-25 11:09::pcmdi_metrics:: Results saved to a json file: /home/ordonez4/git/pcmdi_metrics/doc/jupyter/Demo/sea_ice_demo/ex3/sea_ice_data.json\n",
      "2024-04-25 11:09:03,719 [INFO]: base.py(write:251) >> Results saved to a json file: /home/ordonez4/git/pcmdi_metrics/doc/jupyter/Demo/sea_ice_demo/ex3/sea_ice_data.json\n",
      "2024-04-25 11:09:03,719 [INFO]: base.py(write:251) >> Results saved to a json file: /home/ordonez4/git/pcmdi_metrics/doc/jupyter/Demo/sea_ice_demo/ex3/sea_ice_data.json\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_193001-193912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_194001-194912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_195001-195912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_196001-196912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_197001-197912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_198001-198912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_199001-199912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_200001-200912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r3i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r3i2p2f1_gr_201001-201412.nc\n",
      "Converting units by  multiply 0.01\n",
      "\n",
      "-----------------------\n",
      "model, run, variable: E3SM-1-0 r4i2p2f1 siconc\n",
      "test_data (model in this case) full_path:\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_185001-185912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_186001-186912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_187001-187912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_188001-188912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_189001-189912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_190001-190912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_191001-191912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_192001-192912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_193001-193912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_194001-194912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_195001-195912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_196001-196912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_197001-197912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_198001-198912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_199001-199912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_200001-200912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/E3SM-1-0/historical/r4i2p2f1/siconc/siconc_SImon_E3SM-1-0_historical_r4i2p2f1_gr_201001-201412.nc\n",
      "Converting units by  multiply 0.01\n",
      "\n",
      "-------------------------------------------\n",
      "Calculating model regional average metrics \n",
      "for  E3SM-1-0\n",
      "--------------------------------------------\n",
      "arctic\n",
      "ca\n",
      "na\n",
      "np\n",
      "antarctic\n",
      "sp\n",
      "sa\n",
      "io\n",
      "\n",
      "=================================\n",
      "model, runs: MIROC6 ['r2i1p1f1', 'r1i1p1f1', 'r4i1p1f1', 'r3i1p1f1']\n",
      "/p/user_pub/pmp/demo/sea-ice/links_area/MIROC6/*.nc\n",
      "Converting units by  multiply 1e-06\n",
      "\n",
      "-----------------------\n",
      "model, run, variable: MIROC6 r2i1p1f1 siconc\n",
      "test_data (model in this case) full_path:\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/MIROC6/historical/r2i1p1f1/siconc/siconc_SImon_MIROC6_historical_r2i1p1f1_gn_185001-194912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/MIROC6/historical/r2i1p1f1/siconc/siconc_SImon_MIROC6_historical_r2i1p1f1_gn_195001-201412.nc\n",
      "Converting units by  multiply 0.01\n",
      "\n",
      "-----------------------\n",
      "model, run, variable: MIROC6 r1i1p1f1 siconc\n",
      "test_data (model in this case) full_path:\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/MIROC6/historical/r1i1p1f1/siconc/siconc_SImon_MIROC6_historical_r1i1p1f1_gn_185001-194912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/MIROC6/historical/r1i1p1f1/siconc/siconc_SImon_MIROC6_historical_r1i1p1f1_gn_195001-201412.nc\n",
      "Converting units by  multiply 0.01\n",
      "\n",
      "-----------------------\n",
      "model, run, variable: MIROC6 r4i1p1f1 siconc\n",
      "test_data (model in this case) full_path:\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/MIROC6/historical/r4i1p1f1/siconc/siconc_SImon_MIROC6_historical_r4i1p1f1_gn_185001-194912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/MIROC6/historical/r4i1p1f1/siconc/siconc_SImon_MIROC6_historical_r4i1p1f1_gn_195001-201412.nc\n",
      "Converting units by  multiply 0.01\n",
      "\n",
      "-----------------------\n",
      "model, run, variable: MIROC6 r3i1p1f1 siconc\n",
      "test_data (model in this case) full_path:\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/MIROC6/historical/r3i1p1f1/siconc/siconc_SImon_MIROC6_historical_r3i1p1f1_gn_185001-194912.nc\n",
      "   /p/user_pub/pmp/demo/sea-ice/links_siconc/MIROC6/historical/r3i1p1f1/siconc/siconc_SImon_MIROC6_historical_r3i1p1f1_gn_195001-201412.nc\n",
      "Converting units by  multiply 0.01\n",
      "\n",
      "-------------------------------------------\n",
      "Calculating model regional average metrics \n",
      "for  MIROC6\n",
      "--------------------------------------------\n",
      "arctic\n",
      "ca\n",
      "na\n",
      "np\n",
      "antarctic\n",
      "sp\n",
      "sa\n",
      "io\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[WARNING] yaksa: 10 leaked handle pool objects\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 145 ms, sys: 57.9 ms, total: 202 ms\n",
      "Wall time: 16min 45s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "%%bash\n",
    "sea_ice_driver.py -p sea_ice_param.py \\\n",
    "--test_data_set \"E3SM-1-0\" \"CanESM5\" \"MIROC6\" \\\n",
    "--realization '*' \\\n",
    "--case_id \"ex3\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a17ffee",
   "metadata": {},
   "source": [
    "The output JSON now includes metrics for all three models."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "b07dbb8b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "    \"DIMENSIONS\": {\n",
      "        \"index\": {\n",
      "            \"monthly_clim\": \"Monthly climatology of extent\",\n",
      "            \"total_extent\": \"Sum of ice coverage where concentration > 15%\"\n",
      "        },\n",
      "        \"json_structure\": [\n",
      "            \"region\",\n",
      "            \"realization\",\n",
      "            \"obs\",\n",
      "            \"index\",\n",
      "            \"statistic\"\n",
      "        ],\n",
      "        \"model\": [\n",
      "            \"CanESM5\",\n",
      "            \"E3SM-1-0\",\n",
      "            \"MIROC6\"\n",
      "        ],\n",
      "        \"region\": [\n",
      "            \"arctic\",\n",
      "            \"ca\",\n",
      "            \"na\",\n",
      "            \"np\",\n",
      "            \"antarctic\",\n",
      "            \"io\",\n",
      "            \"sa\",\n",
      "            \"sp\"\n",
      "        ],\n",
      "        \"statistic\": {\n",
      "            \"mse\": \"Mean Square Error (10^12 km^4)\"\n",
      "        }\n",
      "    },\n",
      "    \"RESULTS\": {\n",
      "        \"CanESM5\": {\n",
      "            \"antarctic\": {\n",
      "                \"model_mean\": {\n",
      "                    \"OSI-SAF\": {\n",
      "                        \"monthly_clim\": {\n",
      "                            \"mse\": \"0.286304445114698\"\n",
      "                        },\n",
      "                        \"total_extent\": {\n",
      "                            \"mse\": \"4.542657209664359\"\n",
      "                        }\n",
      "                    }\n",
      "                },\n",
      "                \"r1i1p1f1\": {\n",
      "                    \"OSI-SAF\": {\n",
      "                        \"monthly_clim\": {\n",
      "                            \"mse\": \"0.2705435627546696\"\n",
      "                        },\n",
      "                        \"total_extent\": {\n",
      "                            \"mse\": \"3.31914238715812\"\n",
      "                        }\n",
      "                    }\n",
      "                },\n",
      "                \"r2i1p1f1\": {\n",
      "                    \"OSI-SAF\": {\n",
      "                        \"monthly_clim\": {\n",
      "                            \"mse\": \"0.29002317830303875\"\n",
      "                        },\n",
      "                        \"total_extent\": {\n",
      "                            \"mse\": \"4.817666618178247\"\n",
      "                        }\n",
      "                    }\n",
      "                },\n",
      "                \"r3i1p1f1\": {\n",
      "                    \"OSI-SAF\": {\n",
      "                        \"monthly_clim\": {\n",
      "                            \"mse\": \"0.2911360020251559\"\n",
      "                        },\n",
      "                        \"total_extent\": {\n",
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      "            }\n",
      "        },\n",
      "        \"osAccess\": false,\n",
      "        \"packages\": {\n",
      "            \"PMP\": \"v3.0.2-11-g06b151f\",\n",
      "            \"PMPObs\": \"See 'References' key below, for detailed obs provenance information.\",\n",
      "            \"blas\": \"0.3.27\",\n",
      "            \"cdat_info\": \"8.2.1\",\n",
      "            \"cdms\": \"3.1.5\",\n",
      "            \"cdp\": \"1.7.0\",\n",
      "            \"cdtime\": \"3.1.4\",\n",
      "            \"cdutil\": \"8.2.1\",\n",
      "            \"clapack\": null,\n",
      "            \"esmf\": \"0.8.5\",\n",
      "            \"esmpy\": \"8.6.0\",\n",
      "            \"genutil\": \"8.2.1\",\n",
      "            \"lapack\": \"3.9.0\",\n",
      "            \"matplotlib\": null,\n",
      "            \"mesalib\": null,\n",
      "            \"numpy\": \"1.23.5\",\n",
      "            \"python\": \"3.10.14\",\n",
      "            \"scipy\": \"1.13.0\",\n",
      "            \"uvcdat\": null,\n",
      "            \"vcs\": null,\n",
      "            \"vtk\": null,\n",
      "            \"xarray\": \"2024.3.0\",\n",
      "            \"xcdat\": \"0.7.0\"\n",
      "        },\n",
      "        \"platform\": {\n",
      "            \"Name\": \"gates.llnl.gov\",\n",
      "            \"OS\": \"Linux\",\n",
      "            \"Version\": \"3.10.0-1160.108.1.el7.x86_64\"\n",
      "        },\n",
      "        \"userId\": \"ordonez4\"\n",
      "    }\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "with open(\"sea_ice_demo/ex3/sea_ice_metrics.json\") as f:\n",
    "    print(f.read())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f48b3856",
   "metadata": {},
   "source": [
    "Now the resulting bar chart shows three different models with their multiple realization spread."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "41aa14a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "a = Image(\"sea_ice_demo/ex3/MSE_bar_chart.png\")\n",
    "display_png(a)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc43281a",
   "metadata": {},
   "source": [
    "## 6. Further exploration  <a class=\"anchor\" id=\"further\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19abc98d",
   "metadata": {},
   "source": [
    "Maybe you want to compare more models, or take a closer look at the model data? Here are links to the data for further exploration.\n",
    "\n",
    "As a reminder, data for eight CMIP6 models (ACCESS-CM2, ACCESS-ESM1-5, CanESM5, CAS-ESM2-0, E3SM-1-0, E3SM-2-0, GFDL-ESM4, MIROC6, with 30 realizations in total across the model suite) is available here:\n",
    "```\n",
    "/p/user_pub/pmp/demo/sea-ice/links_siconc\n",
    "/p/user_pub/pmp/demo/sea-ice/links_area\n",
    "```\n",
    "Note, expanding the \"Working with multiple models\" to include all available models will extend run time to around 15 minutes.\n",
    "\n",
    "The observational time series can be found at:\n",
    "```\n",
    "/p/user_pub/pmp/demo/sea-ice/EUMETSAT\n",
    "```\n",
    "\n",
    "For some example plotting code using xcdat and matplotlib, see the scripts that were used to generate the introductory figures:\n",
    "\n",
    "```\n",
    "sea_ice_sector_plots.py\n",
    "sea_ice_line_plots.py\n",
    "```\n",
    "\n",
    "Further exploration of the above datasets can be found in our supplemental Jupyter notebook: [Demo_9b_seaIce_data_explore.ipynb](Demo_9b_seaIce_data_explore.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f1161f29",
   "metadata": {},
   "source": [
    "## 7. Debugging the LLNL Nimbus binder environment  <a class=\"anchor\" id=\"debug\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc4b0ab9",
   "metadata": {},
   "source": [
    "For CAMAS workshop users, if you hit an issue at login\n",
    "\n",
    "```\n",
    "Launching server...\n",
    "Launch attempt 1 failed, retrying...\n",
    "Launch attempt 2 failed, retrying...\n",
    "Launch attempt 3 failed, retrying...\n",
    "User $id already has a running server.\n",
    "```\n",
    "\n",
    "The fix is to login (using your GitHub credentials) using [https://binder-nimbus.llnl.gov/hub/home](https://binder-nimbus.llnl.gov/hub/home) and select \"Stop My Server\".\n",
    "\n",
    "Once you refresh the start page ([https://binder-nimbus.llnl.gov](https://binder-nimbus.llnl.gov)), login and start again, it should work as expected"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84a123eb",
   "metadata": {},
   "source": [
    "<div align=right>\n",
    "<a href=Demo_9_seaIceExtent_ivanova.ipynb#top>Go back to Top</a>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e3b50c5e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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