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    "# Part 3a: Steric height\n",
    "Andrew Delman. Updated 2026-05-15.\n",
    "\n",
    "## Objectives\n",
    "\n",
    "To use ECCO state output to investigate steric height anomalies.\n",
    "\n",
    "By the end of this tutorial, you will be able to:\n",
    "\n",
    "* Compute steric height anomaly (SHA)\n",
    "* Compare SHA with sea surface height\n",
    "* Use the Jackett and McDougall (1995) equation of state to carry out conversions of temperature and salinity to specific volume/density\n",
    "* Estimate contributions of temperature and salinity to SHA"
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    "## Introduction\n",
    "\n",
    "### Steric height anomaly formulation\n",
    "\n",
    "Though the density of ocean water changes relatively little compared to the density of air and other gases, even relatively small variations in ocean water density have large impacts on the ocean circulation and sea level variations. Under the conditions of hydrostatic balance (conditions assumed by the MITgcm model configuration run in ECCO v4r4), the vertical gradient of pressure $\\partial{p}/\\partial{z}$ is a function of density $\\rho$ and gravitational acceleration $g$:\n",
    "\n",
    "$$\n",
    "\\frac{\\partial{p}}{\\partial{z}} = -{\\rho}g\n",
    "$$\n",
    "\n",
    "When the density of a parcel water changes, e.g. because its temperature or salinity changes, the parcel of water expands or contracts, and this has an effect on the vertical height of the parcel. This can be expressed in terms of the change in height between two pressure surfaces.\n",
    "\n",
    "$$\n",
    "{\\Delta}z = \\frac{{\\Delta}p}{-{\\rho}g}\n",
    "$$\n",
    "\n",
    "or in integral form\n",
    "\n",
    "$$\n",
    "h = \\int_{p_r}^{p} \\frac{dp}{-{\\rho}g}\n",
    "$$\n",
    "\n",
    "which can also be notated in terms of the specific volume $V_{sp} \\equiv 1/\\rho$\n",
    "\n",
    "$$\n",
    "h = \\int_{p_r}^{p} -\\frac{V_{sp}}{g} \\, dp\n",
    "$$\n",
    "\n",
    "(cf. Gill ch. 7.7, or discussion of thickness in Vallis ch. 2.6)\n",
    "\n",
    "where $h$ is the steric height at pressure level $p$ relative to some reference pressure level $p_r$. The atmospheric analogue to steric height is called *thickness*, and is commonly used in meteorology and atmospheric science. Generally we are less interested in the value of the steric height itself than in its spatial or temporal variation, so the steric height anomaly $h^{\\prime}$ can be defined in terms of a specific volume anomaly $V_{sp}^{\\prime}$\n",
    "\n",
    "$$\n",
    "h^{\\prime} = \\int_{p_r}^{p} -\\frac{V_{sp}^{\\prime}}{g} \\, dp\n",
    "$$\n",
    "\n",
    "where $V_{sp}^{\\prime}$ is the anomaly from the a reference specific volume $V_r$. Sometimes the literature also refers to the geopotential anomaly, which is the steric height anomaly times $g$ (i.e., the above equation without dividing by $g$) and has units m$^2$ s$^{-2}$.\n",
    "\n",
    "\n",
    "\n",
    "### Equation of state\n",
    "\n",
    "Since we will be computing seawater density and its components associated with temperature and salinity changes, we need to use an [equation of state](https://en.wikipedia.org/wiki/TEOS-10) for seawater. Currently the international standard equation of state is [TEOS-10](https://www.teos-10.org/), which has the [GSW-Python package](https://teos-10.github.io/GSW-Python/) to facilitate computations in Python. However, ECCO's configuration of MITgcm uses an older version of the equation of state introduced by [Jackett and McDougall (1995)](https://doi.org/10.1175/1520-0426(1995)012%3C0381:MAOHPT%3E2.0.CO;2) to compute density variations. We will use this equation of state (abbreviated JMD95) here. Conveniently, there is a [Python implementation of JMD95](https://github.com/brian-rose/MITgcmutils/blob/master/MITgcmutils/jmd95.py) so that it is not necessary to code this ourselves. The *jmd95.py* module is included in the tutorial repository to facilitate its use here.\n",
    "\n",
    "## Open files\n",
    "\n",
    "For this tutorial, we will need the ECCO datasets with the following ShortNames:\n",
    "\n",
    "- **ECCO_L4_GEOMETRY_LLC0090GRID_V4R4** (no time dimension)\n",
    "- **ECCO_L4_DENS_STRAT_PRESS_LLC0090GRID_MONTHLY_V4R4** (Jan 2000)\n",
    "- **ECCO_L4_SSH_LLC0090GRID_MONTHLY_V4R4** (Jan 2000)\n",
    "- **ECCO_L4_TEMP_SALINITY_LLC0090GRID_MONTHLY_V4R4** (Jan 2000)\n",
    "\n",
    "The notebook uses the `ecco_access` Python package to download these datasets. See [this tutorial](https://ecco-access.readthedocs.io/Using_ECCO_access.html) for more info on how to use `ecco_access`. If you are working on an AWS instance, just set `incloud_access = True` in the 1st cell and the datasets will be downloaded to your instance or opened remotely on S3 depending on your available storage."
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    "# specify incloud_access = True if working in the AWS Cloud, otherwise False\n",
    "incloud_access = False\n",
    "\n",
    "from os.path import join,expanduser\n",
    "user_home_dir = expanduser('~')\n",
    "\n",
    "if incloud_access:\n",
    "    access_mode = 's3_get_ifspace'\n",
    "    download_root_dir = None\n",
    "    # specify location to store json files that will speed up S3 data access\n",
    "    jsons_root_dir = join(user_home_dir,'MZZ')  \n",
    "else:\n",
    "    access_mode = 'download_ifspace'\n",
    "    # specify location to store downloaded files\n",
    "    # ~/Downloads/ECCO_V4r4_PODAAC is also the default path used for download_root_dir; \n",
    "    # change as needed\n",
    "    download_root_dir = join(user_home_dir,'Downloads','ECCO_V4r4_PODAAC')\n",
    "    jsons_root_dir = None    \n",
    "\n",
    "\n",
    "# import needed packages\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import glob\n",
    "import sys\n",
    "user_home_dir = expanduser('~')\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import ecco_v4_py as ecco\n",
    "import ecco_access as ea\n",
    "from ecco_po_tutorials import *\n",
    "\n",
    "# import function that computes density in jmd95.py module\n",
    "from jmd95 import densjmd95"
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    "# ShortNames\n",
    "grid_params_shortname = \"ECCO_L4_GEOMETRY_LLC0090GRID_V4R4\"\n",
    "denspress_monthly_shortname = \"ECCO_L4_DENS_STRAT_PRESS_LLC0090GRID_MONTHLY_V4R4\"\n",
    "SSH_monthly_shortname = \"ECCO_L4_SSH_LLC0090GRID_MONTHLY_V4R4\"\n",
    "TS_monthly_shortname = \"ECCO_L4_TEMP_SALINITY_LLC0090GRID_MONTHLY_V4R4\"\n",
    "\n",
    "ShortNames_list = [grid_params_shortname,denspress_monthly_shortname,\\\n",
    "                   SSH_monthly_shortname,TS_monthly_shortname]"
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    "# specify location to store downloaded files\n",
    "\n",
    "# ~/Downloads/ECCO_V4r4_PODAAC is also the default path used for download_root_dir; \n",
    "# change as needed\n",
    "download_root_dir = join(user_home_dir,'Downloads','ECCO_V4r4_PODAAC')"
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    "### Grid and density/pressure files\n",
    "\n",
    "If you've completed the previous tutorials you are quite familiar with these files by now."
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     "text": [
      "Download to directory /home/jpluser/Downloads/ECCO_V4r4_PODAAC/ECCO_L4_GEOMETRY_LLC0090GRID_V4R4\n",
      "Size of files to be downloaded to instance is 0.008 GB,\n",
      "which is 0.04% of the 18.521 GB available storage.\n",
      "Proceeding with file downloads via NASA Earthdata URLs\n",
      "DL Progress: 100%|###########################| 1/1 [00:02<00:00,  2.30s/it]\n",
      "\n",
      "=====================================\n",
      "total downloaded: 8.57 Mb\n",
      "avg download speed: 3.72 Mb/s\n",
      "Time spent = 2.3052399158477783 seconds\n",
      "\n",
      "\n",
      "Download to directory /home/jpluser/Downloads/ECCO_V4r4_PODAAC/ECCO_L4_DENS_STRAT_PRESS_LLC0090GRID_MONTHLY_V4R4\n",
      "Size of files to be downloaded to instance is 0.029 GB,\n",
      "which is 0.16% of the 18.513 GB available storage.\n",
      "Proceeding with file downloads via NASA Earthdata URLs\n",
      "DL Progress: 100%|###########################| 1/1 [00:03<00:00,  3.32s/it]\n",
      "\n",
      "=====================================\n",
      "total downloaded: 30.98 Mb\n",
      "avg download speed: 9.32 Mb/s\n",
      "Time spent = 3.32550048828125 seconds\n",
      "\n",
      "\n"
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    "# load grid parameters\n",
    "ds_grid = ea.ecco_podaac_to_xrdataset(grid_params_shortname,\\\n",
    "                                      mode=access_mode,\\\n",
    "                                      download_root_dir=download_root_dir,\\\n",
    "                                      jsons_root_dir=jsons_root_dir,\\\n",
    "                                      prompt_request_payer=False)\n",
    "ds_grid = ds_grid.compute()    # load into memory (rather than delaying computation)\n",
    "\n",
    "# density/pressure dataset\n",
    "ds_denspress = ea.ecco_podaac_to_xrdataset(denspress_monthly_shortname,\\\n",
    "                                      StartDate=\"2000-01\",EndDate=\"2000-01\",\\\n",
    "                                      mode=access_mode,\\\n",
    "                                      download_root_dir=download_root_dir,\\\n",
    "                                      jsons_root_dir=jsons_root_dir,\\\n",
    "                                      prompt_request_payer=False)\n",
    "ds_denspress = ds_denspress.compute()"
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    "### Sea surface height file\n",
    "\n",
    "To look at the impact of steric height variations, we will also be looking at the actual sea surface height field from ECCOv4. Consulting the [variable list](https://raw.githubusercontent.com/ECCO-GROUP/ECCO-v4-Python-Tutorial/master/varlist/v4r4_nctiles_monthly_varlist.txt) for monthly mean output, we find that the datasets containing sea surface height have ShortName ```ECCO_L4_SSH_LLC0090GRID_MONTHLY_V4R4```. To start, we access the granule of that dataset corresponding to January 2000 (2000-01)."
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   "id": "31d224f4",
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     "text": [
      "Download to directory /home/jpluser/Downloads/ECCO_V4r4_PODAAC/ECCO_L4_SSH_LLC0090GRID_MONTHLY_V4R4\n",
      "Size of files to be downloaded to instance is 0.006 GB,\n",
      "which is 0.03% of the 18.484 GB available storage.\n",
      "Proceeding with file downloads via NASA Earthdata URLs\n",
      "DL Progress: 100%|###########################| 1/1 [00:02<00:00,  2.31s/it]\n",
      "\n",
      "=====================================\n",
      "total downloaded: 5.92 Mb\n",
      "avg download speed: 2.56 Mb/s\n",
      "Time spent = 2.3119957447052 seconds\n",
      "\n",
      "\n"
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       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 7MB\n",
       "Dimensions:    (i: 90, i_g: 90, j: 90, j_g: 90, tile: 13, time: 1, nv: 2, nb: 4)\n",
       "Coordinates: (12/13)\n",
       "  * i          (i) int32 360B 0 1 2 3 4 5 6 7 8 9 ... 81 82 83 84 85 86 87 88 89\n",
       "  * i_g        (i_g) int32 360B 0 1 2 3 4 5 6 7 8 ... 81 82 83 84 85 86 87 88 89\n",
       "  * j          (j) int32 360B 0 1 2 3 4 5 6 7 8 9 ... 81 82 83 84 85 86 87 88 89\n",
       "  * j_g        (j_g) int32 360B 0 1 2 3 4 5 6 7 8 ... 81 82 83 84 85 86 87 88 89\n",
       "  * tile       (tile) int32 52B 0 1 2 3 4 5 6 7 8 9 10 11 12\n",
       "  * time       (time) datetime64[ns] 8B 2000-01-16T12:00:00\n",
       "    ...         ...\n",
       "    YC         (tile, j, i) float32 421kB -88.24 -88.38 -88.52 ... -88.08 -88.1\n",
       "    XG         (tile, j_g, i_g) float32 421kB -115.0 -115.0 ... -102.9 -109.0\n",
       "    YG         (tile, j_g, i_g) float32 421kB -88.18 -88.32 ... -87.99 -88.02\n",
       "    time_bnds  (time, nv) datetime64[ns] 16B 2000-01-01 2000-02-01\n",
       "    XC_bnds    (tile, j, i, nb) float32 2MB -115.0 -115.0 ... -115.0 -108.5\n",
       "    YC_bnds    (tile, j, i, nb) float32 2MB -88.18 -88.32 ... -88.18 -88.16\n",
       "Dimensions without coordinates: nv, nb\n",
       "Data variables:\n",
       "    SSH        (time, tile, j, i) float32 421kB nan nan nan nan ... nan nan nan\n",
       "    SSHIBC     (time, tile, j, i) float32 421kB nan nan nan nan ... nan nan nan\n",
       "    SSHNOIBC   (time, tile, j, i) float32 421kB nan nan nan nan ... nan nan nan\n",
       "    ETAN       (time, tile, j, i) float32 421kB nan nan nan nan ... nan nan nan\n",
       "Attributes: (12/57)\n",
       "    acknowledgement:              This research was carried out by the Jet Pr...\n",
       "    author:                       Ian Fenty and Ou Wang\n",
       "    cdm_data_type:                Grid\n",
       "    comment:                      Fields provided on the curvilinear lat-lon-...\n",
       "    Conventions:                  CF-1.8, ACDD-1.3\n",
       "    coordinates_comment:          Note: the global &#x27;coordinates&#x27; attribute de...\n",
       "    ...                           ...\n",
       "    time_coverage_duration:       P1M\n",
       "    time_coverage_end:            2000-02-01T00:00:00\n",
       "    time_coverage_resolution:     P1M\n",
       "    time_coverage_start:          2000-01-01T00:00:00\n",
       "    title:                        ECCO Sea Surface Height - Monthly Mean llc9...\n",
       "    uuid:                         a7c2a1c4-400c-11eb-9f79-0cc47a3f49c3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6d1f6255-39ef-4e64-9386-c1c743aefe7c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6d1f6255-39ef-4e64-9386-c1c743aefe7c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>i</span>: 90</li><li><span class='xr-has-index'>i_g</span>: 90</li><li><span class='xr-has-index'>j</span>: 90</li><li><span class='xr-has-index'>j_g</span>: 90</li><li><span class='xr-has-index'>tile</span>: 13</li><li><span class='xr-has-index'>time</span>: 1</li><li><span>nv</span>: 2</li><li><span>nb</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-af136422-f6b5-4e40-9efa-688fecf9240e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-af136422-f6b5-4e40-9efa-688fecf9240e' class='xr-section-summary' >Coordinates: <span>(13)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>i</span></div><div class='xr-var-dims'>(i)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 84 85 86 87 88 89</div><input id='attrs-271edf7c-9418-4383-8982-62005873aeaa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-271edf7c-9418-4383-8982-62005873aeaa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbac49c9-e3d9-41d1-9b3a-7cdb2e372de6' class='xr-var-data-in' type='checkbox'><label for='data-fbac49c9-e3d9-41d1-9b3a-7cdb2e372de6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>grid index in x for variables at tracer and &#x27;v&#x27; locations</dd><dt><span>swap_dim :</span></dt><dd>XC</dd><dt><span>comment :</span></dt><dd>In the Arakawa C-grid system, tracer (e.g., THETA) and &#x27;v&#x27; variables (e.g., VVEL) have the same x coordinate on the model grid.</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89],\n",
       "      dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>i_g</span></div><div class='xr-var-dims'>(i_g)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 84 85 86 87 88 89</div><input id='attrs-8029d598-81cf-4b69-b198-71cc9bac6c76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8029d598-81cf-4b69-b198-71cc9bac6c76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05a319df-ebb0-4ec5-924f-6753949bab90' class='xr-var-data-in' type='checkbox'><label for='data-05a319df-ebb0-4ec5-924f-6753949bab90' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>grid index in x for variables at &#x27;u&#x27; and &#x27;g&#x27; locations</dd><dt><span>c_grid_axis_shift :</span></dt><dd>-0.5</dd><dt><span>swap_dim :</span></dt><dd>XG</dd><dt><span>comment :</span></dt><dd>In the Arakawa C-grid system, &#x27;u&#x27; (e.g., UVEL) and &#x27;g&#x27; variables (e.g., XG) have the same x coordinate on the model grid.</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89],\n",
       "      dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>j</span></div><div class='xr-var-dims'>(j)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 84 85 86 87 88 89</div><input id='attrs-44ef9257-f156-4939-ad6e-5258f4258b14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44ef9257-f156-4939-ad6e-5258f4258b14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dda37785-4c78-4e5d-b2ef-ff0a3ba58422' class='xr-var-data-in' type='checkbox'><label for='data-dda37785-4c78-4e5d-b2ef-ff0a3ba58422' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>grid index in y for variables at tracer and &#x27;u&#x27; locations</dd><dt><span>swap_dim :</span></dt><dd>YC</dd><dt><span>comment :</span></dt><dd>In the Arakawa C-grid system, tracer (e.g., THETA) and &#x27;u&#x27; variables (e.g., UVEL) have the same y coordinate on the model grid.</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89],\n",
       "      dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>j_g</span></div><div class='xr-var-dims'>(j_g)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 84 85 86 87 88 89</div><input id='attrs-9c9cbb08-6b50-4cde-b937-097ad0793289' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c9cbb08-6b50-4cde-b937-097ad0793289' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44588e88-a1f6-459d-a573-d2a3f2b4602f' class='xr-var-data-in' type='checkbox'><label for='data-44588e88-a1f6-459d-a573-d2a3f2b4602f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>grid index in y for variables at &#x27;v&#x27; and &#x27;g&#x27; locations</dd><dt><span>c_grid_axis_shift :</span></dt><dd>-0.5</dd><dt><span>swap_dim :</span></dt><dd>YG</dd><dt><span>comment :</span></dt><dd>In the Arakawa C-grid system, &#x27;v&#x27; (e.g., VVEL) and &#x27;g&#x27; variables (e.g., XG) have the same y coordinate.</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89],\n",
       "      dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>tile</span></div><div class='xr-var-dims'>(tile)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-441f6919-d837-41ea-a6b9-fc4e0ad14333' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-441f6919-d837-41ea-a6b9-fc4e0ad14333' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5ff5ddf-3f2e-41ac-b277-5a48b4165b71' class='xr-var-data-in' type='checkbox'><label for='data-c5ff5ddf-3f2e-41ac-b277-5a48b4165b71' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>lat-lon-cap tile index</dd><dt><span>comment :</span></dt><dd>The ECCO V4 horizontal model grid is divided into 13 tiles of 90x90 cells for convenience.</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2000-01-16T12:00:00</div><input id='attrs-803f5091-3c49-42f1-83e9-93245211e327' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-803f5091-3c49-42f1-83e9-93245211e327' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09f50d0f-d3a5-4293-a4a6-c4b4306f093c' class='xr-var-data-in' type='checkbox'><label for='data-09f50d0f-d3a5-4293-a4a6-c4b4306f093c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>center time of averaging period</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2000-01-16T12:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XC</span></div><div class='xr-var-dims'>(tile, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-111.6 -111.3 ... -105.6 -111.9</div><input id='attrs-4d76b9c7-47e3-4b33-b2b6-14dbaffaf08c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d76b9c7-47e3-4b33-b2b6-14dbaffaf08c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3983c30d-3aec-46ce-8c89-8075f9d94013' class='xr-var-data-in' type='checkbox'><label for='data-3983c30d-3aec-46ce-8c89-8075f9d94013' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude of tracer grid cell center</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>coordinate :</span></dt><dd>YC XC</dd><dt><span>bounds :</span></dt><dd>XC_bnds</dd><dt><span>comment :</span></dt><dd>nonuniform grid spacing</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([[[-111.60647 , -111.303   , -110.94285 , ...,   64.791115,\n",
       "           64.80521 ,   64.81917 ],\n",
       "        [-104.8196  , -103.928444, -102.87706 , ...,   64.36745 ,\n",
       "           64.41012 ,   64.4524  ],\n",
       "        [ -98.198784,  -96.788055,  -95.14185 , ...,   63.936497,\n",
       "           64.008224,   64.0793  ],\n",
       "        ...,\n",
       "        [ -37.5     ,  -36.5     ,  -35.5     , ...,   49.5     ,\n",
       "           50.5     ,   51.5     ],\n",
       "        [ -37.5     ,  -36.5     ,  -35.5     , ...,   49.5     ,\n",
       "           50.5     ,   51.5     ],\n",
       "        [ -37.5     ,  -36.5     ,  -35.5     , ...,   49.5     ,\n",
       "           50.5     ,   51.5     ]],\n",
       "\n",
       "       [[ -37.5     ,  -36.5     ,  -35.5     , ...,   49.5     ,\n",
       "           50.5     ,   51.5     ],\n",
       "        [ -37.5     ,  -36.5     ,  -35.5     , ...,   49.5     ,\n",
       "           50.5     ,   51.5     ],\n",
       "        [ -37.5     ,  -36.5     ,  -35.5     , ...,   49.5     ,\n",
       "           50.5     ,   51.5     ],\n",
       "...\n",
       "        [ -40.5     ,  -40.5     ,  -40.5     , ...,  -40.5     ,\n",
       "          -40.5     ,  -40.5     ],\n",
       "        [ -39.5     ,  -39.5     ,  -39.5     , ...,  -39.5     ,\n",
       "          -39.5     ,  -39.5     ],\n",
       "        [ -38.5     ,  -38.5     ,  -38.5     , ...,  -38.5     ,\n",
       "          -38.5     ,  -38.5     ]],\n",
       "\n",
       "       [[-127.5     , -127.5     , -127.5     , ..., -115.850204,\n",
       "         -115.50567 , -115.166985],\n",
       "        [-126.5     , -126.5     , -126.5     , ..., -115.78025 ,\n",
       "         -115.464066, -115.153244],\n",
       "        [-125.5     , -125.5     , -125.5     , ..., -115.71079 ,\n",
       "         -115.42275 , -115.139595],\n",
       "        ...,\n",
       "        [ -40.5     ,  -40.5     ,  -40.5     , ..., -101.42989 ,\n",
       "         -106.83081 , -112.28605 ],\n",
       "        [ -39.5     ,  -39.5     ,  -39.5     , ..., -100.48844 ,\n",
       "         -106.24874 , -112.090065],\n",
       "        [ -38.5     ,  -38.5     ,  -38.5     , ...,  -99.42048 ,\n",
       "         -105.58465 , -111.86579 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>YC</span></div><div class='xr-var-dims'>(tile, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-88.24 -88.38 ... -88.08 -88.1</div><input id='attrs-07da7597-d9a0-4b0a-8efa-2aa5df3b9292' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07da7597-d9a0-4b0a-8efa-2aa5df3b9292' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4379f60-0ac6-4f27-bf18-b707b8e99e39' class='xr-var-data-in' type='checkbox'><label for='data-d4379f60-0ac6-4f27-bf18-b707b8e99e39' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude of tracer grid cell center</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>coordinate :</span></dt><dd>YC XC</dd><dt><span>bounds :</span></dt><dd>YC_bnds</dd><dt><span>comment :</span></dt><dd>nonuniform grid spacing</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([[[-88.24259  , -88.382515 , -88.52242  , ..., -80.57383  ,\n",
       "         -80.50492  , -80.43992  ],\n",
       "        [-88.21676  , -88.354485 , -88.49178  , ..., -80.56925  ,\n",
       "         -80.50038  , -80.43542  ],\n",
       "        [-88.164764 , -88.29827  , -88.43065  , ..., -80.55984  ,\n",
       "         -80.49105  , -80.42617  ],\n",
       "        ...,\n",
       "        [-58.321964 , -58.321964 , -58.321964 , ..., -58.321964 ,\n",
       "         -58.321964 , -58.321964 ],\n",
       "        [-57.79962  , -57.79962  , -57.79962  , ..., -57.79962  ,\n",
       "         -57.79962  , -57.79962  ],\n",
       "        [-57.271408 , -57.271408 , -57.271408 , ..., -57.271408 ,\n",
       "         -57.271408 , -57.271408 ]],\n",
       "\n",
       "       [[-56.73891  , -56.73891  , -56.73891  , ..., -56.73891  ,\n",
       "         -56.73891  , -56.73891  ],\n",
       "        [-56.2021   , -56.2021   , -56.2021   , ..., -56.2021   ,\n",
       "         -56.2021   , -56.2021   ],\n",
       "        [-55.65936  , -55.65936  , -55.65936  , ..., -55.65936  ,\n",
       "         -55.65936  , -55.65936  ],\n",
       "...\n",
       "        [  9.482398 ,   8.516253 ,   7.5699615, ..., -55.65936  ,\n",
       "         -56.2021   , -56.73891  ],\n",
       "        [  9.482398 ,   8.516253 ,   7.5699615, ..., -55.65936  ,\n",
       "         -56.2021   , -56.73891  ],\n",
       "        [  9.482398 ,   8.516253 ,   7.5699615, ..., -55.65936  ,\n",
       "         -56.2021   , -56.73891  ]],\n",
       "\n",
       "       [[-57.271408 , -57.79962  , -58.321964 , ..., -80.36532  ,\n",
       "         -80.3745   , -80.37896  ],\n",
       "        [-57.271408 , -57.79962  , -58.321964 , ..., -80.30862  ,\n",
       "         -80.317726 , -80.32216  ],\n",
       "        [-57.271408 , -57.79962  , -58.321964 , ..., -80.25618  ,\n",
       "         -80.26523  , -80.26963  ],\n",
       "        ...,\n",
       "        [-57.271408 , -57.79962  , -58.321964 , ..., -87.7596   ,\n",
       "         -87.80198  , -87.822876 ],\n",
       "        [-57.271408 , -57.79962  , -58.321964 , ..., -87.89526  ,\n",
       "         -87.94044  , -87.96276  ],\n",
       "        [-57.271408 , -57.79962  , -58.321964 , ..., -88.030365 ,\n",
       "         -88.07871  , -88.10267  ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XG</span></div><div class='xr-var-dims'>(tile, j_g, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-115.0 -115.0 ... -102.9 -109.0</div><input id='attrs-6ede852c-1631-423b-aca4-d876e02715c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ede852c-1631-423b-aca4-d876e02715c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14b96545-42c3-486c-b77b-fbfef344f48d' class='xr-var-data-in' type='checkbox'><label for='data-14b96545-42c3-486c-b77b-fbfef344f48d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude of &#x27;southwest&#x27; corner of tracer grid cell</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>coordinate :</span></dt><dd>YG XG</dd><dt><span>comment :</span></dt><dd>Nonuniform grid spacing. Note: &#x27;southwest&#x27; does not correspond to geographic orientation but is used for convenience to describe the computational grid. See MITgcm dcoumentation for details.</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([[[-115.      , -115.      , -115.      , ...,   65.      ,\n",
       "           65.      ,   65.      ],\n",
       "        [-108.47213 , -107.915245, -107.26045 , ...,   64.56598 ,\n",
       "           64.59443 ,   64.62261 ],\n",
       "        [-101.9954  , -100.91797 ,  -99.66073 , ...,   64.12406 ,\n",
       "           64.18147 ,   64.23835 ],\n",
       "        ...,\n",
       "        [ -38.      ,  -37.      ,  -36.      , ...,   49.      ,\n",
       "           50.      ,   51.      ],\n",
       "        [ -38.      ,  -37.      ,  -36.      , ...,   49.      ,\n",
       "           50.      ,   51.      ],\n",
       "        [ -38.      ,  -37.      ,  -36.      , ...,   49.      ,\n",
       "           50.      ,   51.      ]],\n",
       "\n",
       "       [[ -38.      ,  -37.      ,  -36.      , ...,   49.      ,\n",
       "           50.      ,   51.      ],\n",
       "        [ -38.      ,  -37.      ,  -36.      , ...,   49.      ,\n",
       "           50.      ,   51.      ],\n",
       "        [ -38.      ,  -37.      ,  -36.      , ...,   49.      ,\n",
       "           50.      ,   51.      ],\n",
       "...\n",
       "        [ -41.      ,  -41.      ,  -41.      , ...,  -41.      ,\n",
       "          -41.      ,  -41.      ],\n",
       "        [ -40.      ,  -40.      ,  -40.      , ...,  -40.      ,\n",
       "          -40.      ,  -40.      ],\n",
       "        [ -39.      ,  -39.      ,  -39.      , ...,  -39.      ,\n",
       "          -39.      ,  -39.      ]],\n",
       "\n",
       "       [[-128.      , -128.      , -128.      , ..., -116.06686 ,\n",
       "         -115.70526 , -115.34945 ],\n",
       "        [-127.      , -127.      , -127.      , ..., -115.982254,\n",
       "         -115.64933 , -115.32173 ],\n",
       "        [-126.      , -126.      , -126.      , ..., -115.89828 ,\n",
       "         -115.59381 , -115.29422 ],\n",
       "        ...,\n",
       "        [ -41.      ,  -41.      ,  -41.      , ...,  -99.28857 ,\n",
       "         -104.466286, -109.73619 ],\n",
       "        [ -40.      ,  -40.      ,  -40.      , ...,  -98.24634 ,\n",
       "         -103.74563 , -109.36924 ],\n",
       "        [ -39.      ,  -39.      ,  -39.      , ...,  -97.07265 ,\n",
       "         -102.928925, -108.95171 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>YG</span></div><div class='xr-var-dims'>(tile, j_g, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-88.18 -88.32 ... -87.99 -88.02</div><input id='attrs-1e455f33-d4a6-46b3-b03c-7c3046b930dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e455f33-d4a6-46b3-b03c-7c3046b930dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c7f2397-8a07-4134-8399-9c184ccb650d' class='xr-var-data-in' type='checkbox'><label for='data-2c7f2397-8a07-4134-8399-9c184ccb650d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude of &#x27;southwest&#x27; corner of tracer grid cell</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>coordinate :</span></dt><dd>YG XG</dd><dt><span>comment :</span></dt><dd>Nonuniform grid spacing. Note: &#x27;southwest&#x27; does not correspond to geographic orientation but is used for convenience to describe the computational grid. See MITgcm dcoumentation for details.</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([[[-88.17569 , -88.31587 , -88.45609 , ..., -80.610275,\n",
       "         -80.53945 , -80.47247 ],\n",
       "        [-88.16335 , -88.30251 , -88.44153 , ..., -80.608   ,\n",
       "         -80.5372  , -80.470245],\n",
       "        [-88.12586 , -88.26202 , -88.397514, ..., -80.601006,\n",
       "         -80.530266, -80.46337 ],\n",
       "        ...,\n",
       "        [-58.58002 , -58.58002 , -58.58002 , ..., -58.58002 ,\n",
       "         -58.58002 , -58.58002 ],\n",
       "        [-58.06183 , -58.06183 , -58.06183 , ..., -58.06183 ,\n",
       "         -58.06183 , -58.06183 ],\n",
       "        [-57.53605 , -57.53605 , -57.53605 , ..., -57.53605 ,\n",
       "         -57.53605 , -57.53605 ]],\n",
       "\n",
       "       [[-57.005695, -57.005695, -57.005695, ..., -57.005695,\n",
       "         -57.005695, -57.005695],\n",
       "        [-56.471046, -56.471046, -56.471046, ..., -56.471046,\n",
       "         -56.471046, -56.471046],\n",
       "        [-55.931786, -55.931786, -55.931786, ..., -55.931786,\n",
       "         -55.931786, -55.931786],\n",
       "...\n",
       "        [  9.96973 ,   8.997536,   8.039881, ..., -55.384766,\n",
       "         -55.931786, -56.471046],\n",
       "        [  9.96973 ,   8.997536,   8.039881, ..., -55.384766,\n",
       "         -55.931786, -56.471046],\n",
       "        [  9.96973 ,   8.997536,   8.039881, ..., -55.384766,\n",
       "         -55.931786, -56.471046]],\n",
       "\n",
       "       [[-57.005695, -57.53605 , -58.06183 , ..., -80.38878 ,\n",
       "         -80.400444, -80.40726 ],\n",
       "        [-57.005695, -57.53605 , -58.06183 , ..., -80.33003 ,\n",
       "         -80.34161 , -80.34837 ],\n",
       "        [-57.005695, -57.53605 , -58.06183 , ..., -80.27549 ,\n",
       "         -80.286995, -80.29371 ],\n",
       "        ...,\n",
       "        [-57.005695, -57.53605 , -58.06183 , ..., -87.66318 ,\n",
       "         -87.71477 , -87.7454  ],\n",
       "        [-57.005695, -57.53605 , -58.06183 , ..., -87.797325,\n",
       "         -87.85214 , -87.884766],\n",
       "        [-57.005695, -57.53605 , -58.06183 , ..., -87.93075 ,\n",
       "         -87.9892  , -88.02409 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nv)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2000-01-01 2000-02-01</div><input id='attrs-5276e65b-f5c6-4ca3-8842-915a03572d02' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5276e65b-f5c6-4ca3-8842-915a03572d02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-021a2250-f794-4936-883a-a3fc359b7628' class='xr-var-data-in' type='checkbox'><label for='data-021a2250-f794-4936-883a-a3fc359b7628' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Start and end times of averaging period.</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>long_name :</span></dt><dd>time bounds of averaging period</dd></dl></div><div class='xr-var-data'><pre>array([[&#x27;2000-01-01T00:00:00.000000000&#x27;, &#x27;2000-02-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XC_bnds</span></div><div class='xr-var-dims'>(tile, j, i, nb)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-115.0 -115.0 ... -115.0 -108.5</div><input id='attrs-c03a3948-7b84-4b41-85a7-c4ed1911038c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c03a3948-7b84-4b41-85a7-c4ed1911038c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94cf527d-a977-4aa5-9680-6d7c3efc75e6' class='xr-var-data-in' type='checkbox'><label for='data-94cf527d-a977-4aa5-9680-6d7c3efc75e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Bounds array follows CF conventions. XC_bnds[i,j,0] = &#x27;southwest&#x27; corner (j-1, i-1), XC_bnds[i,j,1] = &#x27;southeast&#x27; corner (j-1, i+1), XC_bnds[i,j,2] = &#x27;northeast&#x27; corner (j+1, i+1), XC_bnds[i,j,3]  = &#x27;northwest&#x27; corner (j+1, i-1). Note: &#x27;southwest&#x27;, &#x27;southeast&#x27;, northwest&#x27;, and &#x27;northeast&#x27; do not correspond to geographic orientation but are used for convenience to describe the computational grid. See MITgcm dcoumentation for details.</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>long_name :</span></dt><dd>longitudes of tracer grid cell corners</dd></dl></div><div class='xr-var-data'><pre>array([[[[-115.      , -115.      , -107.915245, -108.47213 ],\n",
       "         [-115.      , -115.      , -107.26045 , -107.915245],\n",
       "         [-115.      , -115.      , -106.47914 , -107.26045 ],\n",
       "         ...,\n",
       "         [  65.      ,   65.      ,   64.59443 ,   64.56598 ],\n",
       "         [  65.      ,   65.      ,   64.62261 ,   64.59443 ],\n",
       "         [  65.      ,   65.      ,   64.65055 ,   64.62261 ]],\n",
       "\n",
       "        [[-108.47213 , -107.915245, -100.91797 , -101.9954  ],\n",
       "         [-107.915245, -107.26045 ,  -99.66073 , -100.91797 ],\n",
       "         [-107.26045 , -106.47914 ,  -98.17517 ,  -99.66073 ],\n",
       "         ...,\n",
       "         [  64.56598 ,   64.59443 ,   64.18147 ,   64.12406 ],\n",
       "         [  64.59443 ,   64.62261 ,   64.23835 ,   64.18147 ],\n",
       "         [  64.62261 ,   64.65055 ,   64.29474 ,   64.23835 ]],\n",
       "\n",
       "        [[-101.9954  , -100.91797 ,  -94.218956,  -95.74128 ],\n",
       "         [-100.91797 ,  -99.66073 ,  -92.46296 ,  -94.218956],\n",
       "         [ -99.66073 ,  -98.17517 ,  -90.417885,  -92.46296 ],\n",
       "         ...,\n",
       "...\n",
       "         [ -99.28857 , -104.466286, -103.74563 ,  -98.24634 ],\n",
       "         [-104.466286, -109.73619 , -109.36924 , -103.74563 ],\n",
       "         [-109.73619 , -115.      , -115.      , -109.36924 ]],\n",
       "\n",
       "        [[ -40.      ,  -40.      ,  -39.      ,  -39.      ],\n",
       "         [ -40.      ,  -40.      ,  -39.      ,  -39.      ],\n",
       "         [ -40.      ,  -40.      ,  -39.      ,  -39.      ],\n",
       "         ...,\n",
       "         [ -98.24634 , -103.74563 , -102.928925,  -97.07265 ],\n",
       "         [-103.74563 , -109.36924 , -108.95171 , -102.928925],\n",
       "         [-109.36924 , -115.      , -115.      , -108.95171 ]],\n",
       "\n",
       "        [[ -39.      ,  -39.      ,  -38.      ,  -38.      ],\n",
       "         [ -39.      ,  -39.      ,  -38.      ,  -38.      ],\n",
       "         [ -39.      ,  -39.      ,  -38.      ,  -38.      ],\n",
       "         ...,\n",
       "         [ -97.07265 , -102.928925, -101.9954  ,  -95.74128 ],\n",
       "         [-102.928925, -108.95171 , -108.47213 , -101.9954  ],\n",
       "         [-108.95171 , -115.      , -115.      , -108.47213 ]]]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>YC_bnds</span></div><div class='xr-var-dims'>(tile, j, i, nb)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-88.18 -88.32 ... -88.18 -88.16</div><input id='attrs-b1dcecaa-8277-4e72-a59d-126c658bf1ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1dcecaa-8277-4e72-a59d-126c658bf1ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12eaee13-d7fa-4de2-b548-5856c2027638' class='xr-var-data-in' type='checkbox'><label for='data-12eaee13-d7fa-4de2-b548-5856c2027638' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Bounds array follows CF conventions. YC_bnds[i,j,0] = &#x27;southwest&#x27; corner (j-1, i-1), YC_bnds[i,j,1] = &#x27;southeast&#x27; corner (j-1, i+1), YC_bnds[i,j,2] = &#x27;northeast&#x27; corner (j+1, i+1), YC_bnds[i,j,3]  = &#x27;northwest&#x27; corner (j+1, i-1). Note: &#x27;southwest&#x27;, &#x27;southeast&#x27;, northwest&#x27;, and &#x27;northeast&#x27; do not correspond to geographic orientation but are used for convenience to describe the computational grid. See MITgcm dcoumentation for details.</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>long_name :</span></dt><dd>latitudes of tracer grid cell corners</dd></dl></div><div class='xr-var-data'><pre>array([[[[-88.17569 , -88.31587 , -88.30251 , -88.16335 ],\n",
       "         [-88.31587 , -88.45609 , -88.44153 , -88.30251 ],\n",
       "         [-88.45609 , -88.596344, -88.580345, -88.44153 ],\n",
       "         ...,\n",
       "         [-80.610275, -80.53945 , -80.5372  , -80.608   ],\n",
       "         [-80.53945 , -80.47247 , -80.470245, -80.5372  ],\n",
       "         [-80.47247 , -80.40948 , -80.40726 , -80.470245]],\n",
       "\n",
       "        [[-88.16335 , -88.30251 , -88.26202 , -88.12586 ],\n",
       "         [-88.30251 , -88.44153 , -88.397514, -88.26202 ],\n",
       "         [-88.44153 , -88.580345, -88.53216 , -88.397514],\n",
       "         ...,\n",
       "         [-80.608   , -80.5372  , -80.530266, -80.601006],\n",
       "         [-80.5372  , -80.470245, -80.46337 , -80.530266],\n",
       "         [-80.470245, -80.40726 , -80.400444, -80.46337 ]],\n",
       "\n",
       "        [[-88.12586 , -88.26202 , -88.194695, -88.06328 ],\n",
       "         [-88.26202 , -88.397514, -88.32474 , -88.194695],\n",
       "         [-88.397514, -88.53216 , -88.453026, -88.32474 ],\n",
       "         ...,\n",
       "...\n",
       "         [-87.66318 , -87.71477 , -87.85214 , -87.797325],\n",
       "         [-87.71477 , -87.7454  , -87.884766, -87.85214 ],\n",
       "         [-87.7454  , -87.75544 , -87.89547 , -87.884766]],\n",
       "\n",
       "        [[-57.005695, -57.53605 , -57.53605 , -57.005695],\n",
       "         [-57.53605 , -58.06183 , -58.06183 , -57.53605 ],\n",
       "         [-58.06183 , -58.58002 , -58.58002 , -58.06183 ],\n",
       "         ...,\n",
       "         [-87.797325, -87.85214 , -87.9892  , -87.93075 ],\n",
       "         [-87.85214 , -87.884766, -88.02409 , -87.9892  ],\n",
       "         [-87.884766, -87.89547 , -88.03555 , -88.02409 ]],\n",
       "\n",
       "        [[-57.005695, -57.53605 , -57.53605 , -57.005695],\n",
       "         [-57.53605 , -58.06183 , -58.06183 , -57.53605 ],\n",
       "         [-58.06183 , -58.58002 , -58.58002 , -58.06183 ],\n",
       "         ...,\n",
       "         [-87.93075 , -87.9892  , -88.12586 , -88.06328 ],\n",
       "         [-87.9892  , -88.02409 , -88.16335 , -88.12586 ],\n",
       "         [-88.02409 , -88.03555 , -88.17569 , -88.16335 ]]]],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-788f8dd4-3bdd-4584-b8fe-fbcb6237e09d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-788f8dd4-3bdd-4584-b8fe-fbcb6237e09d' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>SSH</span></div><div class='xr-var-dims'>(time, tile, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-485bd620-27e5-40df-820c-7310ea8e0b19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-485bd620-27e5-40df-820c-7310ea8e0b19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d597223-4bf2-4f32-8e49-ac2b89317b5b' class='xr-var-data-in' type='checkbox'><label for='data-3d597223-4bf2-4f32-8e49-ac2b89317b5b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Dynamic sea surface height anomaly</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>coverage_content_type :</span></dt><dd>modelResult</dd><dt><span>standard_name :</span></dt><dd>sea_surface_height_above_geoid</dd><dt><span>comment :</span></dt><dd>Dynamic sea surface height anomaly above the geoid, suitable for comparisons with altimetry sea surface height data products that apply the inverse barometer (IB) correction. Note: SSH is calculated by correcting model sea level anomaly ETAN for three effects: a) global mean steric sea level changes related to density changes in the Boussinesq volume-conserving model (Greatbatch correction, see sterGloH), b) the inverted barometer (IB) effect (see SSHIBC) and c) sea level displacement due to sea-ice and snow pressure loading (see sIceLoad). SSH can be compared with the similarly-named SSH variable in previous ECCO products that did not include atmospheric pressure loading (e.g., Version 4 Release 3). Use SSHNOIBC for comparisons with altimetry data products that do NOT apply the IB correction.</dd><dt><span>valid_min :</span></dt><dd>-1.8805772066116333</dd><dt><span>valid_max :</span></dt><dd>1.4207719564437866</dd></dl></div><div class='xr-var-data'><pre>array([[[[        nan,         nan,         nan, ...,         nan,\n",
       "                  nan,         nan],\n",
       "         [        nan,         nan,         nan, ...,         nan,\n",
       "                  nan,         nan],\n",
       "         [        nan,         nan,         nan, ...,         nan,\n",
       "                  nan,         nan],\n",
       "         ...,\n",
       "         [-1.4789017 , -1.4837765 , -1.4820721 , ..., -1.2947402 ,\n",
       "          -1.2798777 , -1.2653834 ],\n",
       "         [-1.4538441 , -1.4584619 , -1.455187  , ..., -1.2917751 ,\n",
       "          -1.2739644 , -1.255403  ],\n",
       "         [-1.4215791 , -1.4232503 , -1.4176066 , ..., -1.290446  ,\n",
       "          -1.2703111 , -1.2480989 ]],\n",
       "\n",
       "        [[-1.3808295 , -1.3784958 , -1.372     , ..., -1.2883928 ,\n",
       "          -1.2664716 , -1.2413179 ],\n",
       "         [-1.3355613 , -1.3305387 , -1.3269446 , ..., -1.2839248 ,\n",
       "          -1.2608194 , -1.2335396 ],\n",
       "         [-1.29667   , -1.2918196 , -1.2945448 , ..., -1.2746911 ,\n",
       "          -1.2511746 , -1.2229391 ],\n",
       "...\n",
       "         [ 0.07362293,  0.08643685,  0.10397215, ..., -1.2499071 ,\n",
       "          -1.2735664 , -1.3032473 ],\n",
       "         [ 0.07497352,  0.08953815,  0.10827384, ..., -1.2757589 ,\n",
       "          -1.3045474 , -1.3383781 ],\n",
       "         [ 0.07795492,  0.09386466,  0.11334766, ..., -1.2924107 ,\n",
       "          -1.3276016 , -1.3676724 ]],\n",
       "\n",
       "        [[-0.6563771 , -0.7468547 , -0.8327873 , ...,         nan,\n",
       "                  nan,         nan],\n",
       "         [-0.6422394 , -0.7361674 , -0.82182825, ...,         nan,\n",
       "                  nan,         nan],\n",
       "         [-0.63883096, -0.73404384, -0.8174607 , ...,         nan,\n",
       "                  nan,         nan],\n",
       "         ...,\n",
       "         [-1.3367223 , -1.3744546 , -1.4167619 , ...,         nan,\n",
       "                  nan,         nan],\n",
       "         [-1.3717978 , -1.4045305 , -1.4386747 , ...,         nan,\n",
       "                  nan,         nan],\n",
       "         [-1.4042423 , -1.4353313 , -1.4631995 , ...,         nan,\n",
       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SSHIBC</span></div><div class='xr-var-dims'>(time, tile, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-57efe87a-f6a1-43e0-b9b7-8d7d4440349a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57efe87a-f6a1-43e0-b9b7-8d7d4440349a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-857a6d26-0551-4cd6-88bf-1885c6d72f4f' class='xr-var-data-in' type='checkbox'><label for='data-857a6d26-0551-4cd6-88bf-1885c6d72f4f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>The inverted barometer (IB) correction to sea surface height due to atmospheric pressure loading</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>coverage_content_type :</span></dt><dd>modelResult</dd><dt><span>comment :</span></dt><dd>Not an SSH itself, but a correction to model sea level anomaly (ETAN) required to account for the static part of sea surface displacement by atmosphere pressure loading: SSH = SSHNOIBC - SSHIBC. Note: Use SSH for model-data comparisons with altimetry data products that DO apply the IB correction and SSHNOIBC for comparisons with altimetry data products that do NOT apply the IB correction.</dd><dt><span>valid_min :</span></dt><dd>-0.30144819617271423</dd><dt><span>valid_max :</span></dt><dd>0.5248842239379883</dd></dl></div><div class='xr-var-data'><pre>array([[[[        nan,         nan,         nan, ...,         nan,\n",
       "                  nan,         nan],\n",
       "         [        nan,         nan,         nan, ...,         nan,\n",
       "                  nan,         nan],\n",
       "         [        nan,         nan,         nan, ...,         nan,\n",
       "                  nan,         nan],\n",
       "         ...,\n",
       "         [ 0.23781475,  0.2379507 ,  0.2380997 , ...,  0.23431331,\n",
       "           0.23472025,  0.23523438],\n",
       "         [ 0.22905664,  0.2292232 ,  0.22939688, ...,  0.22654665,\n",
       "           0.2270002 ,  0.22750196],\n",
       "         [ 0.22008829,  0.22027948,  0.2204544 , ...,  0.21840234,\n",
       "           0.21889378,  0.21937633]],\n",
       "\n",
       "        [[ 0.2105019 ,  0.2106719 ,  0.21084075, ...,  0.20899203,\n",
       "           0.2094466 ,  0.20987388],\n",
       "         [ 0.20076637,  0.20092164,  0.20106518, ...,  0.19939163,\n",
       "           0.1998108 ,  0.20016529],\n",
       "         [ 0.19035034,  0.19048737,  0.19083127, ...,  0.18850988,\n",
       "           0.1888821 ,  0.18920429],\n",
       "...\n",
       "         [-0.01463764, -0.01063938, -0.0070837 , ...,  0.18994287,\n",
       "           0.20032944,  0.20999324],\n",
       "         [-0.01464828, -0.01061456, -0.00710896, ...,  0.19020556,\n",
       "           0.20055279,  0.21019569],\n",
       "         [-0.01461461, -0.0105603 , -0.00710111, ...,  0.19030093,\n",
       "           0.20066467,  0.21036199]],\n",
       "\n",
       "        [[ 0.06769405,  0.07761458,  0.08746666, ...,         nan,\n",
       "                  nan,         nan],\n",
       "         [ 0.06824927,  0.07837023,  0.08837549, ...,         nan,\n",
       "                  nan,         nan],\n",
       "         [ 0.06902534,  0.07930374,  0.08944101, ...,         nan,\n",
       "                  nan,         nan],\n",
       "         ...,\n",
       "         [ 0.21952029,  0.22857352,  0.23743033, ...,         nan,\n",
       "                  nan,         nan],\n",
       "         [ 0.21970072,  0.22874062,  0.23758098, ...,         nan,\n",
       "                  nan,         nan],\n",
       "         [ 0.21991234,  0.22890177,  0.23769338, ...,         nan,\n",
       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SSHNOIBC</span></div><div class='xr-var-dims'>(time, tile, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-5c101f63-31fe-49f2-81ec-50be493c71c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c101f63-31fe-49f2-81ec-50be493c71c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ffd5c24-af77-4fcb-bcf4-c9f15d460e64' class='xr-var-data-in' type='checkbox'><label for='data-8ffd5c24-af77-4fcb-bcf4-c9f15d460e64' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea surface height anomaly without the inverted barometer (IB) correction</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>coverage_content_type :</span></dt><dd>modelResult</dd><dt><span>comment :</span></dt><dd>Sea surface height anomaly above the geoid without the inverse barometer (IB) correction, suitable for comparisons with altimetry sea surface height data products that do NOT apply the inverse barometer (IB) correction. Note: SSHNOIBC is calculated by correcting model sea level anomaly ETAN for two effects: a) global mean steric sea level changes related to density changes in the Boussinesq volume-conserving model (Greatbatch correction, see sterGloH), b) sea level displacement due to sea-ice and snow pressure loading (see sIceLoad). In ECCO Version 4 Release 4 the model is forced with atmospheric pressure loading. SSHNOIBC does not correct for the static part of the effect of atmosphere pressure loading on sea surface height (the so-called inverse barometer (IB) correction). Use SSH for comparisons with altimetry data products that DO apply the IB correction.</dd><dt><span>valid_min :</span></dt><dd>-1.6654272079467773</dd><dt><span>valid_max :</span></dt><dd>1.4550364017486572</dd></dl></div><div class='xr-var-data'><pre>array([[[[        nan,         nan,         nan, ...,         nan,\n",
       "                  nan,         nan],\n",
       "         [        nan,         nan,         nan, ...,         nan,\n",
       "                  nan,         nan],\n",
       "         [        nan,         nan,         nan, ...,         nan,\n",
       "                  nan,         nan],\n",
       "         ...,\n",
       "         [-1.2410871 , -1.2458258 , -1.2439724 , ..., -1.060427  ,\n",
       "          -1.0451574 , -1.030149  ],\n",
       "         [-1.2247875 , -1.2292386 , -1.2257901 , ..., -1.0652285 ,\n",
       "          -1.0469642 , -1.027901  ],\n",
       "         [-1.2014909 , -1.2029707 , -1.1971523 , ..., -1.0720437 ,\n",
       "          -1.0514174 , -1.0287225 ]],\n",
       "\n",
       "        [[-1.1703275 , -1.1678239 , -1.1611592 , ..., -1.0794007 ,\n",
       "          -1.057025  , -1.031444  ],\n",
       "         [-1.134795  , -1.1296171 , -1.1258794 , ..., -1.0845332 ,\n",
       "          -1.0610087 , -1.0333742 ],\n",
       "         [-1.1063197 , -1.1013322 , -1.1037135 , ..., -1.0861813 ,\n",
       "          -1.0622925 , -1.0337349 ],\n",
       "...\n",
       "         [ 0.05898528,  0.07579748,  0.09688845, ..., -1.0599642 ,\n",
       "          -1.073237  , -1.0932541 ],\n",
       "         [ 0.06032524,  0.07892359,  0.10116488, ..., -1.0855533 ,\n",
       "          -1.1039947 , -1.1281823 ],\n",
       "         [ 0.06334031,  0.08330437,  0.10624655, ..., -1.1021098 ,\n",
       "          -1.1269369 , -1.1573105 ]],\n",
       "\n",
       "        [[-0.588683  , -0.6692402 , -0.7453206 , ...,         nan,\n",
       "                  nan,         nan],\n",
       "         [-0.5739901 , -0.65779716, -0.7334528 , ...,         nan,\n",
       "                  nan,         nan],\n",
       "         [-0.5698056 , -0.6547401 , -0.7280197 , ...,         nan,\n",
       "                  nan,         nan],\n",
       "         ...,\n",
       "         [-1.1172019 , -1.145881  , -1.1793315 , ...,         nan,\n",
       "                  nan,         nan],\n",
       "         [-1.152097  , -1.17579   , -1.2010937 , ...,         nan,\n",
       "                  nan,         nan],\n",
       "         [-1.18433   , -1.2064296 , -1.2255062 , ...,         nan,\n",
       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ETAN</span></div><div class='xr-var-dims'>(time, tile, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-fb1bc016-a047-4919-805c-2dd5aa017e95' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb1bc016-a047-4919-805c-2dd5aa017e95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bf42b2a-b373-4499-96ed-0cc813cc6225' class='xr-var-data-in' type='checkbox'><label for='data-7bf42b2a-b373-4499-96ed-0cc813cc6225' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Model sea level anomaly</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>coverage_content_type :</span></dt><dd>modelResult</dd><dt><span>comment :</span></dt><dd>Model sea level anomaly WITHOUT corrections for global mean density (steric) changes, inverted barometer effect, or volume displacement due to submerged sea-ice and snow  . Note: ETAN should NOT be used for comparisons with altimetry data products because ETAN is NOT corrected for (a) global mean steric sea level changes related to density changes in the Boussinesq volume-conserving model (Greatbatch correction, see sterGloH) nor (b) sea level displacement due to submerged sea-ice and snow (see sIceLoad). These corrections ARE made for the variables SSH and SSHNOIBC.</dd><dt><span>valid_min :</span></dt><dd>-8.304216384887695</dd><dt><span>valid_max :</span></dt><dd>1.460192084312439</dd></dl></div><div class='xr-var-data'><pre>array([[[[        nan,         nan,         nan, ...,         nan,\n",
       "                  nan,         nan],\n",
       "         [        nan,         nan,         nan, ...,         nan,\n",
       "                  nan,         nan],\n",
       "         [        nan,         nan,         nan, ...,         nan,\n",
       "                  nan,         nan],\n",
       "         ...,\n",
       "         [-1.2330884 , -1.2378271 , -1.2359738 , ..., -1.0524282 ,\n",
       "          -1.0371587 , -1.0221503 ],\n",
       "         [-1.2167888 , -1.2212399 , -1.2177914 , ..., -1.0572299 ,\n",
       "          -1.0389655 , -1.0199023 ],\n",
       "         [-1.1934922 , -1.1949722 , -1.1891536 , ..., -1.064045  ,\n",
       "          -1.0434186 , -1.0207238 ]],\n",
       "\n",
       "        [[-1.1623288 , -1.1598253 , -1.1531606 , ..., -1.0714021 ,\n",
       "          -1.0490264 , -1.0234452 ],\n",
       "         [-1.1267962 , -1.1216184 , -1.1178808 , ..., -1.0765345 ,\n",
       "          -1.05301   , -1.0253756 ],\n",
       "         [-1.098321  , -1.0933336 , -1.0957149 , ..., -1.0781826 ,\n",
       "          -1.0542939 , -1.0257362 ],\n",
       "...\n",
       "         [ 0.06698394,  0.08379613,  0.10488711, ..., -1.0519656 ,\n",
       "          -1.0652384 , -1.0852554 ],\n",
       "         [ 0.0683239 ,  0.08692225,  0.10916354, ..., -1.0775546 ,\n",
       "          -1.095996  , -1.1201837 ],\n",
       "         [ 0.07133897,  0.09130303,  0.1142452 , ..., -1.0941112 ,\n",
       "          -1.1189383 , -1.1493118 ]],\n",
       "\n",
       "        [[-0.58068436, -0.66124153, -0.737322  , ...,         nan,\n",
       "                  nan,         nan],\n",
       "         [-0.56599146, -0.6497985 , -0.72545415, ...,         nan,\n",
       "                  nan,         nan],\n",
       "         [-0.5618069 , -0.64674145, -0.72002107, ...,         nan,\n",
       "                  nan,         nan],\n",
       "         ...,\n",
       "         [-1.1092033 , -1.1378824 , -1.1713328 , ...,         nan,\n",
       "                  nan,         nan],\n",
       "         [-1.1440984 , -1.1677912 , -1.1930951 , ...,         nan,\n",
       "                  nan,         nan],\n",
       "         [-1.1763314 , -1.1984309 , -1.2175075 , ...,         nan,\n",
       "                  nan,         nan]]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-81d672dc-f51a-4b2a-aaeb-0a82e2d2967a' class='xr-section-summary-in' type='checkbox'  ><label for='section-81d672dc-f51a-4b2a-aaeb-0a82e2d2967a' class='xr-section-summary' >Indexes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>i</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d270b096-e8e3-4274-ae0d-c8bee96158e6' class='xr-index-data-in' type='checkbox'/><label for='index-d270b096-e8e3-4274-ae0d-c8bee96158e6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89],\n",
       "      dtype=&#x27;int32&#x27;, name=&#x27;i&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>i_g</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-20398bcf-efbf-493a-a048-09ef168fe7fb' class='xr-index-data-in' type='checkbox'/><label for='index-20398bcf-efbf-493a-a048-09ef168fe7fb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89],\n",
       "      dtype=&#x27;int32&#x27;, name=&#x27;i_g&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>j</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d0da3b5c-756a-4409-bf3b-67d3f3b0cbad' class='xr-index-data-in' type='checkbox'/><label for='index-d0da3b5c-756a-4409-bf3b-67d3f3b0cbad' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89],\n",
       "      dtype=&#x27;int32&#x27;, name=&#x27;j&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>j_g</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-38f7445a-e73d-486f-b4d3-b4a8fd218a74' class='xr-index-data-in' type='checkbox'/><label for='index-38f7445a-e73d-486f-b4d3-b4a8fd218a74' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89],\n",
       "      dtype=&#x27;int32&#x27;, name=&#x27;j_g&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>tile</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a481e327-00a2-4e69-ad70-9fb7be2ddbd6' class='xr-index-data-in' type='checkbox'/><label for='index-a481e327-00a2-4e69-ad70-9fb7be2ddbd6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], dtype=&#x27;int32&#x27;, name=&#x27;tile&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6d8ae12c-ef25-4508-a844-402f7a613608' class='xr-index-data-in' type='checkbox'/><label for='index-6d8ae12c-ef25-4508-a844-402f7a613608' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2000-01-16 12:00:00&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-597b1715-ee1b-4b5b-b45c-b813067b7e16' class='xr-section-summary-in' type='checkbox'  ><label for='section-597b1715-ee1b-4b5b-b45c-b813067b7e16' class='xr-section-summary' >Attributes: <span>(57)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>acknowledgement :</span></dt><dd>This research was carried out by the Jet Propulsion Laboratory, managed by the California Institute of Technology under a contract with the National Aeronautics and Space Administration.</dd><dt><span>author :</span></dt><dd>Ian Fenty and Ou Wang</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>comment :</span></dt><dd>Fields provided on the curvilinear lat-lon-cap 90 (llc90) native grid used in the ECCO model. SSH (dynamic sea surface height) = SSHNOIBC (dynamic sea surface without the inverse barometer correction) - SSHIBC (inverse barometer correction). The inverted barometer correction accounts for variations in sea surface height due to atmospheric pressure variations. Note: ETAN is model sea level anomaly and should not be compared with satellite altimetery products, see SSH and ETAN for more details.</dd><dt><span>Conventions :</span></dt><dd>CF-1.8, ACDD-1.3</dd><dt><span>coordinates_comment :</span></dt><dd>Note: the global &#x27;coordinates&#x27; attribute describes auxillary coordinates.</dd><dt><span>creator_email :</span></dt><dd>ecco-group@mit.edu</dd><dt><span>creator_institution :</span></dt><dd>NASA Jet Propulsion Laboratory (JPL)</dd><dt><span>creator_name :</span></dt><dd>ECCO Consortium</dd><dt><span>creator_type :</span></dt><dd>group</dd><dt><span>creator_url :</span></dt><dd>https://ecco-group.org</dd><dt><span>date_created :</span></dt><dd>2020-12-16T18:07:46</dd><dt><span>date_issued :</span></dt><dd>2020-12-16T18:07:46</dd><dt><span>date_metadata_modified :</span></dt><dd>2021-03-15T21:54:47</dd><dt><span>date_modified :</span></dt><dd>2021-03-15T21:54:47</dd><dt><span>geospatial_bounds_crs :</span></dt><dd>EPSG:4326</dd><dt><span>geospatial_lat_max :</span></dt><dd>90.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-90.0</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>variable</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_max :</span></dt><dd>180.0</dd><dt><span>geospatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>variable</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>history :</span></dt><dd>Inaugural release of an ECCO Central Estimate solution to PO.DAAC</dd><dt><span>id :</span></dt><dd>10.5067/ECL5M-SSH44</dd><dt><span>institution :</span></dt><dd>NASA Jet Propulsion Laboratory (JPL)</dd><dt><span>instrument_vocabulary :</span></dt><dd>GCMD instrument keywords</dd><dt><span>keywords :</span></dt><dd>EARTH SCIENCE &gt; OCEANS &gt; SEA SURFACE TOPOGRAPHY &gt; SEA SURFACE HEIGHT, EARTH SCIENCE SERVICES &gt; MODELS &gt; EARTH SCIENCE REANALYSES/ASSIMILATION MODELS</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>license :</span></dt><dd>Public Domain</dd><dt><span>metadata_link :</span></dt><dd>https://cmr.earthdata.nasa.gov/search/collections.umm_json?ShortName=ECCO_L4_SSH_LLC0090GRID_MONTHLY_V4R4</dd><dt><span>naming_authority :</span></dt><dd>gov.nasa.jpl</dd><dt><span>platform :</span></dt><dd>ERS-1/2, TOPEX/Poseidon, Geosat Follow-On (GFO), ENVISAT, Jason-1, Jason-2, CryoSat-2, SARAL/AltiKa, Jason-3, AVHRR, Aquarius, SSM/I, SSMIS, GRACE, DTU17MDT, Argo, WOCE, GO-SHIP, MEOP, Ice Tethered Profilers (ITP)</dd><dt><span>platform_vocabulary :</span></dt><dd>GCMD platform keywords</dd><dt><span>processing_level :</span></dt><dd>L4</dd><dt><span>product_name :</span></dt><dd>SEA_SURFACE_HEIGHT_mon_mean_2000-01_ECCO_V4r4_native_llc0090.nc</dd><dt><span>product_time_coverage_end :</span></dt><dd>2018-01-01T00:00:00</dd><dt><span>product_time_coverage_start :</span></dt><dd>1992-01-01T12:00:00</dd><dt><span>product_version :</span></dt><dd>Version 4, Release 4</dd><dt><span>program :</span></dt><dd>NASA Physical Oceanography, Cryosphere, Modeling, Analysis, and Prediction (MAP)</dd><dt><span>project :</span></dt><dd>Estimating the Circulation and Climate of the Ocean (ECCO)</dd><dt><span>publisher_email :</span></dt><dd>podaac@podaac.jpl.nasa.gov</dd><dt><span>publisher_institution :</span></dt><dd>PO.DAAC</dd><dt><span>publisher_name :</span></dt><dd>Physical Oceanography Distributed Active Archive Center (PO.DAAC)</dd><dt><span>publisher_type :</span></dt><dd>institution</dd><dt><span>publisher_url :</span></dt><dd>https://podaac.jpl.nasa.gov</dd><dt><span>references :</span></dt><dd>ECCO Consortium, Fukumori, I., Wang, O., Fenty, I., Forget, G., Heimbach, P., &amp; Ponte, R. M. 2020. Synopsis of the ECCO Central Production Global Ocean and Sea-Ice State Estimate (Version 4 Release 4). doi:10.5281/zenodo.3765928</dd><dt><span>source :</span></dt><dd>The ECCO V4r4 state estimate was produced by fitting a free-running solution of the MITgcm (checkpoint 66g) to satellite and in situ observational data in a least squares sense using the adjoint method</dd><dt><span>standard_name_vocabulary :</span></dt><dd>NetCDF Climate and Forecast (CF) Metadata Convention</dd><dt><span>summary :</span></dt><dd>This dataset provides monthly-averaged dynamic sea surface height and model sea level anomaly on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea-ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.</dd><dt><span>time_coverage_duration :</span></dt><dd>P1M</dd><dt><span>time_coverage_end :</span></dt><dd>2000-02-01T00:00:00</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1M</dd><dt><span>time_coverage_start :</span></dt><dd>2000-01-01T00:00:00</dd><dt><span>title :</span></dt><dd>ECCO Sea Surface Height - Monthly Mean llc90 Grid (Version 4 Release 4)</dd><dt><span>uuid :</span></dt><dd>a7c2a1c4-400c-11eb-9f79-0cc47a3f49c3</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 7MB\n",
       "Dimensions:    (i: 90, i_g: 90, j: 90, j_g: 90, tile: 13, time: 1, nv: 2, nb: 4)\n",
       "Coordinates: (12/13)\n",
       "  * i          (i) int32 360B 0 1 2 3 4 5 6 7 8 9 ... 81 82 83 84 85 86 87 88 89\n",
       "  * i_g        (i_g) int32 360B 0 1 2 3 4 5 6 7 8 ... 81 82 83 84 85 86 87 88 89\n",
       "  * j          (j) int32 360B 0 1 2 3 4 5 6 7 8 9 ... 81 82 83 84 85 86 87 88 89\n",
       "  * j_g        (j_g) int32 360B 0 1 2 3 4 5 6 7 8 ... 81 82 83 84 85 86 87 88 89\n",
       "  * tile       (tile) int32 52B 0 1 2 3 4 5 6 7 8 9 10 11 12\n",
       "  * time       (time) datetime64[ns] 8B 2000-01-16T12:00:00\n",
       "    ...         ...\n",
       "    YC         (tile, j, i) float32 421kB -88.24 -88.38 -88.52 ... -88.08 -88.1\n",
       "    XG         (tile, j_g, i_g) float32 421kB -115.0 -115.0 ... -102.9 -109.0\n",
       "    YG         (tile, j_g, i_g) float32 421kB -88.18 -88.32 ... -87.99 -88.02\n",
       "    time_bnds  (time, nv) datetime64[ns] 16B 2000-01-01 2000-02-01\n",
       "    XC_bnds    (tile, j, i, nb) float32 2MB -115.0 -115.0 ... -115.0 -108.5\n",
       "    YC_bnds    (tile, j, i, nb) float32 2MB -88.18 -88.32 ... -88.18 -88.16\n",
       "Dimensions without coordinates: nv, nb\n",
       "Data variables:\n",
       "    SSH        (time, tile, j, i) float32 421kB nan nan nan nan ... nan nan nan\n",
       "    SSHIBC     (time, tile, j, i) float32 421kB nan nan nan nan ... nan nan nan\n",
       "    SSHNOIBC   (time, tile, j, i) float32 421kB nan nan nan nan ... nan nan nan\n",
       "    ETAN       (time, tile, j, i) float32 421kB nan nan nan nan ... nan nan nan\n",
       "Attributes: (12/57)\n",
       "    acknowledgement:              This research was carried out by the Jet Pr...\n",
       "    author:                       Ian Fenty and Ou Wang\n",
       "    cdm_data_type:                Grid\n",
       "    comment:                      Fields provided on the curvilinear lat-lon-...\n",
       "    Conventions:                  CF-1.8, ACDD-1.3\n",
       "    coordinates_comment:          Note: the global 'coordinates' attribute de...\n",
       "    ...                           ...\n",
       "    time_coverage_duration:       P1M\n",
       "    time_coverage_end:            2000-02-01T00:00:00\n",
       "    time_coverage_resolution:     P1M\n",
       "    time_coverage_start:          2000-01-01T00:00:00\n",
       "    title:                        ECCO Sea Surface Height - Monthly Mean llc9...\n",
       "    uuid:                         a7c2a1c4-400c-11eb-9f79-0cc47a3f49c3"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_SSH = ea.ecco_podaac_to_xrdataset(SSH_monthly_shortname,\\\n",
    "                                      StartDate=\"2000-01\",EndDate=\"2000-01\",\\\n",
    "                                      mode=access_mode,\\\n",
    "                                      download_root_dir=download_root_dir,\\\n",
    "                                      jsons_root_dir=jsons_root_dir,\\\n",
    "                                      prompt_request_payer=False)\n",
    "ds_SSH = ds_SSH.compute()\n",
    "\n",
    "ds_SSH"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ef154c7",
   "metadata": {},
   "source": [
    "Of the data variables here, there are three forms of sea surface height (`SSH`, `SSHNOIBC`, `ETAN`) with slight but important differences, and one variable `SSHIBC` which is a correction for atmospheric pressure effects. Of the three sea surface height variables, the dynamic sea surface height anomaly `SSH` is the most directly related to ocean dynamics (e.g., near-surface geostrophic velocities). The dynamic SSH is also the variable that we would use for comparison with many satellite SSH products such as the [Copernicus](https://data.marine.copernicus.eu/product/SEALEVEL_GLO_PHY_CLIMATE_L4_MY_008_057/description) and [NASA MEaSUREs](https://podaac.jpl.nasa.gov/dataset/SEA_SURFACE_HEIGHT_ALT_GRIDS_L4_2SATS_5DAY_6THDEG_V_JPL2205) gridded products. Hence `SSH` is the variable that we will use in this tutorial for comparison with the steric height anomaly. We'll also use `ETAN` to define [a scaling factor](https://ecco-v4-python-tutorial.readthedocs.io/ECCO_v4_Salt_and_salinity_budget.html#Scale-factor) for the displacement of the vertical coordinates with the free surface.\n",
    "\n",
    "### Temperature and salinity file\n",
    "\n",
    "Later in this tutorial we will also consider the distinct contributions of temperature and salinity to steric height variations. Fortunately for us, the potential temperature and salinity fields are contained in the same dataset, so for the Jan 2000 temperature and salinity we will only need to download and open one file. We use the *ecco_podaac_to_xrdataset* function again to access the file with ShortName ```ECCO_L4_TEMP_SALINITY_LLC0090GRID_MONTHLY_V4R4``` for Jan 2000:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "882723c8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Download to directory /home/jpluser/Downloads/ECCO_V4r4_PODAAC/ECCO_L4_TEMP_SALINITY_LLC0090GRID_MONTHLY_V4R4\n",
      "Size of files to be downloaded to instance is 0.016 GB,\n",
      "which is 0.09% of the 18.478 GB available storage.\n",
      "Proceeding with file downloads via NASA Earthdata URLs\n",
      "DL Progress: 100%|###########################| 1/1 [00:02<00:00,  2.42s/it]\n",
      "\n",
      "=====================================\n",
      "total downloaded: 17.38 Mb\n",
      "avg download speed: 7.16 Mb/s\n",
      "Time spent = 2.427579879760742 seconds\n",
      "\n",
      "\n"
     ]
    },
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 47MB\n",
       "Dimensions:    (i: 90, i_g: 90, j: 90, j_g: 90, k: 50, k_u: 50, k_l: 50,\n",
       "                k_p1: 51, tile: 13, time: 1, nv: 2, nb: 4)\n",
       "Coordinates: (12/22)\n",
       "  * i          (i) int32 360B 0 1 2 3 4 5 6 7 8 9 ... 81 82 83 84 85 86 87 88 89\n",
       "  * i_g        (i_g) int32 360B 0 1 2 3 4 5 6 7 8 ... 81 82 83 84 85 86 87 88 89\n",
       "  * j          (j) int32 360B 0 1 2 3 4 5 6 7 8 9 ... 81 82 83 84 85 86 87 88 89\n",
       "  * j_g        (j_g) int32 360B 0 1 2 3 4 5 6 7 8 ... 81 82 83 84 85 86 87 88 89\n",
       "  * k          (k) int32 200B 0 1 2 3 4 5 6 7 8 9 ... 41 42 43 44 45 46 47 48 49\n",
       "  * k_u        (k_u) int32 200B 0 1 2 3 4 5 6 7 8 ... 41 42 43 44 45 46 47 48 49\n",
       "    ...         ...\n",
       "    Zu         (k_u) float32 200B -10.0 -20.0 -30.0 ... -5.678e+03 -6.134e+03\n",
       "    Zl         (k_l) float32 200B 0.0 -10.0 -20.0 ... -5.244e+03 -5.678e+03\n",
       "    time_bnds  (time, nv) datetime64[ns] 16B 2000-01-01 2000-02-01\n",
       "    XC_bnds    (tile, j, i, nb) float32 2MB -115.0 -115.0 ... -115.0 -108.5\n",
       "    YC_bnds    (tile, j, i, nb) float32 2MB -88.18 -88.32 ... -88.18 -88.16\n",
       "    Z_bnds     (k, nv) float32 400B 0.0 -10.0 -10.0 ... -5.678e+03 -6.134e+03\n",
       "Dimensions without coordinates: nv, nb\n",
       "Data variables:\n",
       "    THETA      (time, k, tile, j, i) float32 21MB nan nan nan ... nan nan nan\n",
       "    SALT       (time, k, tile, j, i) float32 21MB nan nan nan ... nan nan nan\n",
       "Attributes: (12/62)\n",
       "    acknowledgement:                 This research was carried out by the Jet...\n",
       "    author:                          Ian Fenty and Ou Wang\n",
       "    cdm_data_type:                   Grid\n",
       "    comment:                         Fields provided on the curvilinear lat-l...\n",
       "    Conventions:                     CF-1.8, ACDD-1.3\n",
       "    coordinates_comment:             Note: the global &#x27;coordinates&#x27; attribute...\n",
       "    ...                              ...\n",
       "    time_coverage_duration:          P1M\n",
       "    time_coverage_end:               2000-02-01T00:00:00\n",
       "    time_coverage_resolution:        P1M\n",
       "    time_coverage_start:             2000-01-01T00:00:00\n",
       "    title:                           ECCO Ocean Temperature and Salinity - Mo...\n",
       "    uuid:                            f72f9b24-4181-11eb-bf7d-0cc47a3f4871</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-232fb2f8-c9c8-474f-95dc-dade11ee34c2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-232fb2f8-c9c8-474f-95dc-dade11ee34c2' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>i</span>: 90</li><li><span class='xr-has-index'>i_g</span>: 90</li><li><span class='xr-has-index'>j</span>: 90</li><li><span class='xr-has-index'>j_g</span>: 90</li><li><span class='xr-has-index'>k</span>: 50</li><li><span class='xr-has-index'>k_u</span>: 50</li><li><span class='xr-has-index'>k_l</span>: 50</li><li><span class='xr-has-index'>k_p1</span>: 51</li><li><span class='xr-has-index'>tile</span>: 13</li><li><span class='xr-has-index'>time</span>: 1</li><li><span>nv</span>: 2</li><li><span>nb</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a8689de9-36e0-4a56-8df9-e68f824dcd04' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a8689de9-36e0-4a56-8df9-e68f824dcd04' class='xr-section-summary' >Coordinates: <span>(22)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>i</span></div><div class='xr-var-dims'>(i)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 84 85 86 87 88 89</div><input id='attrs-426ccfe5-869d-4e7c-9f7e-5f4c6e734ef3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-426ccfe5-869d-4e7c-9f7e-5f4c6e734ef3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b6c3a42-d984-46a3-93f7-04363c8d7e6c' class='xr-var-data-in' type='checkbox'><label for='data-6b6c3a42-d984-46a3-93f7-04363c8d7e6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>grid index in x for variables at tracer and &#x27;v&#x27; locations</dd><dt><span>swap_dim :</span></dt><dd>XC</dd><dt><span>comment :</span></dt><dd>In the Arakawa C-grid system, tracer (e.g., THETA) and &#x27;v&#x27; variables (e.g., VVEL) have the same x coordinate on the model grid.</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89],\n",
       "      dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>i_g</span></div><div class='xr-var-dims'>(i_g)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 84 85 86 87 88 89</div><input id='attrs-8c21d53a-c762-445f-a6ce-0d1da9c5a409' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c21d53a-c762-445f-a6ce-0d1da9c5a409' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c98c3f8-c519-4de1-a05d-acd51e92e1e7' class='xr-var-data-in' type='checkbox'><label for='data-4c98c3f8-c519-4de1-a05d-acd51e92e1e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>grid index in x for variables at &#x27;u&#x27; and &#x27;g&#x27; locations</dd><dt><span>c_grid_axis_shift :</span></dt><dd>-0.5</dd><dt><span>swap_dim :</span></dt><dd>XG</dd><dt><span>comment :</span></dt><dd>In the Arakawa C-grid system, &#x27;u&#x27; (e.g., UVEL) and &#x27;g&#x27; variables (e.g., XG) have the same x coordinate on the model grid.</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89],\n",
       "      dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>j</span></div><div class='xr-var-dims'>(j)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 84 85 86 87 88 89</div><input id='attrs-212a5729-7e8c-4d7d-9bf3-b639285971f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-212a5729-7e8c-4d7d-9bf3-b639285971f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1f59444-22b7-417d-9371-dd24d253346f' class='xr-var-data-in' type='checkbox'><label for='data-a1f59444-22b7-417d-9371-dd24d253346f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>grid index in y for variables at tracer and &#x27;u&#x27; locations</dd><dt><span>swap_dim :</span></dt><dd>YC</dd><dt><span>comment :</span></dt><dd>In the Arakawa C-grid system, tracer (e.g., THETA) and &#x27;u&#x27; variables (e.g., UVEL) have the same y coordinate on the model grid.</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89],\n",
       "      dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>j_g</span></div><div class='xr-var-dims'>(j_g)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 84 85 86 87 88 89</div><input id='attrs-4dc80564-bd5f-4466-b26a-05d2c080cf83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4dc80564-bd5f-4466-b26a-05d2c080cf83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f12e2ea7-172a-4daf-8b54-fd9f6b0d526d' class='xr-var-data-in' type='checkbox'><label for='data-f12e2ea7-172a-4daf-8b54-fd9f6b0d526d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>grid index in y for variables at &#x27;v&#x27; and &#x27;g&#x27; locations</dd><dt><span>c_grid_axis_shift :</span></dt><dd>-0.5</dd><dt><span>swap_dim :</span></dt><dd>YG</dd><dt><span>comment :</span></dt><dd>In the Arakawa C-grid system, &#x27;v&#x27; (e.g., VVEL) and &#x27;g&#x27; variables (e.g., XG) have the same y coordinate.</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89],\n",
       "      dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>k</span></div><div class='xr-var-dims'>(k)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 44 45 46 47 48 49</div><input id='attrs-1ce9a99f-80f4-4921-bbf6-21b139244d26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ce9a99f-80f4-4921-bbf6-21b139244d26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16987adf-099e-4d36-9a1d-32ffcdcc04f0' class='xr-var-data-in' type='checkbox'><label for='data-16987adf-099e-4d36-9a1d-32ffcdcc04f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>grid index in z for tracer variables</dd><dt><span>swap_dim :</span></dt><dd>Z</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>k_u</span></div><div class='xr-var-dims'>(k_u)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 44 45 46 47 48 49</div><input id='attrs-9ec5f6da-6e38-486a-95f6-c926ac91aac2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ec5f6da-6e38-486a-95f6-c926ac91aac2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef7a129d-028b-4ff3-b4ab-689b56ab3d0c' class='xr-var-data-in' type='checkbox'><label for='data-ef7a129d-028b-4ff3-b4ab-689b56ab3d0c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Z</dd><dt><span>c_grid_axis_shift :</span></dt><dd>0.5</dd><dt><span>swap_dim :</span></dt><dd>Zu</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>long_name :</span></dt><dd>grid index in z corresponding to the bottom face of tracer grid cells (&#x27;w&#x27; locations)</dd><dt><span>comment :</span></dt><dd>First index corresponds to the bottom surface of the uppermost tracer grid cell. The use of &#x27;u&#x27; in the variable name follows the MITgcm convention for ocean variables in which the upper (u) face of a tracer grid cell on the logical grid corresponds to the bottom face of the grid cell on the physical grid.</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>k_l</span></div><div class='xr-var-dims'>(k_l)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 44 45 46 47 48 49</div><input id='attrs-eb08d2bc-d4e0-455c-a7dc-484cdd9f0340' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb08d2bc-d4e0-455c-a7dc-484cdd9f0340' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d073b09-3dd8-4256-ab2b-4eac6f71e81a' class='xr-var-data-in' type='checkbox'><label for='data-1d073b09-3dd8-4256-ab2b-4eac6f71e81a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Z</dd><dt><span>c_grid_axis_shift :</span></dt><dd>-0.5</dd><dt><span>swap_dim :</span></dt><dd>Zl</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>long_name :</span></dt><dd>grid index in z corresponding to the top face of tracer grid cells (&#x27;w&#x27; locations)</dd><dt><span>comment :</span></dt><dd>First index corresponds to the top surface of the uppermost tracer grid cell. The use of &#x27;l&#x27; in the variable name follows the MITgcm convention for ocean variables in which the lower (l) face of a tracer grid cell on the logical grid corresponds to the top face of the grid cell on the physical grid.</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>k_p1</span></div><div class='xr-var-dims'>(k_p1)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 45 46 47 48 49 50</div><input id='attrs-0b4dc4fe-5b69-425c-b48d-ed18da02fd41' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b4dc4fe-5b69-425c-b48d-ed18da02fd41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4db3e933-5d3b-4033-8a19-10a0e62a3030' class='xr-var-data-in' type='checkbox'><label for='data-4db3e933-5d3b-4033-8a19-10a0e62a3030' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>grid index in z for variables at &#x27;w&#x27; locations</dd><dt><span>c_grid_axis_shift :</span></dt><dd>[-0.5  0.5]</dd><dt><span>swap_dim :</span></dt><dd>Zp1</dd><dt><span>comment :</span></dt><dd>Includes top of uppermost model tracer cell (k_p1=0) and bottom of lowermost tracer cell (k_p1=51).</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>tile</span></div><div class='xr-var-dims'>(tile)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-a511c91b-110c-4dc6-ae56-05f06db06d0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a511c91b-110c-4dc6-ae56-05f06db06d0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12463008-c48d-40ba-beea-0982825b3a92' class='xr-var-data-in' type='checkbox'><label for='data-12463008-c48d-40ba-beea-0982825b3a92' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>lat-lon-cap tile index</dd><dt><span>comment :</span></dt><dd>The ECCO V4 horizontal model grid is divided into 13 tiles of 90x90 cells for convenience.</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2000-01-16T12:00:00</div><input id='attrs-df790cf3-228d-4908-820e-fd0e0ca10528' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df790cf3-228d-4908-820e-fd0e0ca10528' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2e5a9f5-8edb-4d2c-b116-6805aa1e571d' class='xr-var-data-in' type='checkbox'><label for='data-c2e5a9f5-8edb-4d2c-b116-6805aa1e571d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>center time of averaging period</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2000-01-16T12:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XC</span></div><div class='xr-var-dims'>(tile, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-111.6 -111.3 ... -105.6 -111.9</div><input id='attrs-dcf5b7b7-2508-492f-99b0-b3750c34eff4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dcf5b7b7-2508-492f-99b0-b3750c34eff4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b31190c8-86d0-41be-83a4-75ffeb814b2a' class='xr-var-data-in' type='checkbox'><label for='data-b31190c8-86d0-41be-83a4-75ffeb814b2a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude of tracer grid cell center</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>coordinate :</span></dt><dd>YC XC</dd><dt><span>bounds :</span></dt><dd>XC_bnds</dd><dt><span>comment :</span></dt><dd>nonuniform grid spacing</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([[[-111.60647 , -111.303   , -110.94285 , ...,   64.791115,\n",
       "           64.80521 ,   64.81917 ],\n",
       "        [-104.8196  , -103.928444, -102.87706 , ...,   64.36745 ,\n",
       "           64.41012 ,   64.4524  ],\n",
       "        [ -98.198784,  -96.788055,  -95.14185 , ...,   63.936497,\n",
       "           64.008224,   64.0793  ],\n",
       "        ...,\n",
       "        [ -37.5     ,  -36.5     ,  -35.5     , ...,   49.5     ,\n",
       "           50.5     ,   51.5     ],\n",
       "        [ -37.5     ,  -36.5     ,  -35.5     , ...,   49.5     ,\n",
       "           50.5     ,   51.5     ],\n",
       "        [ -37.5     ,  -36.5     ,  -35.5     , ...,   49.5     ,\n",
       "           50.5     ,   51.5     ]],\n",
       "\n",
       "       [[ -37.5     ,  -36.5     ,  -35.5     , ...,   49.5     ,\n",
       "           50.5     ,   51.5     ],\n",
       "        [ -37.5     ,  -36.5     ,  -35.5     , ...,   49.5     ,\n",
       "           50.5     ,   51.5     ],\n",
       "        [ -37.5     ,  -36.5     ,  -35.5     , ...,   49.5     ,\n",
       "           50.5     ,   51.5     ],\n",
       "...\n",
       "        [ -40.5     ,  -40.5     ,  -40.5     , ...,  -40.5     ,\n",
       "          -40.5     ,  -40.5     ],\n",
       "        [ -39.5     ,  -39.5     ,  -39.5     , ...,  -39.5     ,\n",
       "          -39.5     ,  -39.5     ],\n",
       "        [ -38.5     ,  -38.5     ,  -38.5     , ...,  -38.5     ,\n",
       "          -38.5     ,  -38.5     ]],\n",
       "\n",
       "       [[-127.5     , -127.5     , -127.5     , ..., -115.850204,\n",
       "         -115.50567 , -115.166985],\n",
       "        [-126.5     , -126.5     , -126.5     , ..., -115.78025 ,\n",
       "         -115.464066, -115.153244],\n",
       "        [-125.5     , -125.5     , -125.5     , ..., -115.71079 ,\n",
       "         -115.42275 , -115.139595],\n",
       "        ...,\n",
       "        [ -40.5     ,  -40.5     ,  -40.5     , ..., -101.42989 ,\n",
       "         -106.83081 , -112.28605 ],\n",
       "        [ -39.5     ,  -39.5     ,  -39.5     , ..., -100.48844 ,\n",
       "         -106.24874 , -112.090065],\n",
       "        [ -38.5     ,  -38.5     ,  -38.5     , ...,  -99.42048 ,\n",
       "         -105.58465 , -111.86579 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>YC</span></div><div class='xr-var-dims'>(tile, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-88.24 -88.38 ... -88.08 -88.1</div><input id='attrs-4e5986c9-149f-4b9b-aad9-e33602eb3382' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e5986c9-149f-4b9b-aad9-e33602eb3382' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60a32cd9-a0c3-4a19-9cb6-b739b96aa056' class='xr-var-data-in' type='checkbox'><label for='data-60a32cd9-a0c3-4a19-9cb6-b739b96aa056' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude of tracer grid cell center</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>coordinate :</span></dt><dd>YC XC</dd><dt><span>bounds :</span></dt><dd>YC_bnds</dd><dt><span>comment :</span></dt><dd>nonuniform grid spacing</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([[[-88.24259  , -88.382515 , -88.52242  , ..., -80.57383  ,\n",
       "         -80.50492  , -80.43992  ],\n",
       "        [-88.21676  , -88.354485 , -88.49178  , ..., -80.56925  ,\n",
       "         -80.50038  , -80.43542  ],\n",
       "        [-88.164764 , -88.29827  , -88.43065  , ..., -80.55984  ,\n",
       "         -80.49105  , -80.42617  ],\n",
       "        ...,\n",
       "        [-58.321964 , -58.321964 , -58.321964 , ..., -58.321964 ,\n",
       "         -58.321964 , -58.321964 ],\n",
       "        [-57.79962  , -57.79962  , -57.79962  , ..., -57.79962  ,\n",
       "         -57.79962  , -57.79962  ],\n",
       "        [-57.271408 , -57.271408 , -57.271408 , ..., -57.271408 ,\n",
       "         -57.271408 , -57.271408 ]],\n",
       "\n",
       "       [[-56.73891  , -56.73891  , -56.73891  , ..., -56.73891  ,\n",
       "         -56.73891  , -56.73891  ],\n",
       "        [-56.2021   , -56.2021   , -56.2021   , ..., -56.2021   ,\n",
       "         -56.2021   , -56.2021   ],\n",
       "        [-55.65936  , -55.65936  , -55.65936  , ..., -55.65936  ,\n",
       "         -55.65936  , -55.65936  ],\n",
       "...\n",
       "        [  9.482398 ,   8.516253 ,   7.5699615, ..., -55.65936  ,\n",
       "         -56.2021   , -56.73891  ],\n",
       "        [  9.482398 ,   8.516253 ,   7.5699615, ..., -55.65936  ,\n",
       "         -56.2021   , -56.73891  ],\n",
       "        [  9.482398 ,   8.516253 ,   7.5699615, ..., -55.65936  ,\n",
       "         -56.2021   , -56.73891  ]],\n",
       "\n",
       "       [[-57.271408 , -57.79962  , -58.321964 , ..., -80.36532  ,\n",
       "         -80.3745   , -80.37896  ],\n",
       "        [-57.271408 , -57.79962  , -58.321964 , ..., -80.30862  ,\n",
       "         -80.317726 , -80.32216  ],\n",
       "        [-57.271408 , -57.79962  , -58.321964 , ..., -80.25618  ,\n",
       "         -80.26523  , -80.26963  ],\n",
       "        ...,\n",
       "        [-57.271408 , -57.79962  , -58.321964 , ..., -87.7596   ,\n",
       "         -87.80198  , -87.822876 ],\n",
       "        [-57.271408 , -57.79962  , -58.321964 , ..., -87.89526  ,\n",
       "         -87.94044  , -87.96276  ],\n",
       "        [-57.271408 , -57.79962  , -58.321964 , ..., -88.030365 ,\n",
       "         -88.07871  , -88.10267  ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XG</span></div><div class='xr-var-dims'>(tile, j_g, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-115.0 -115.0 ... -102.9 -109.0</div><input id='attrs-5016f4a0-6d09-4d93-b227-311af93ffb02' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5016f4a0-6d09-4d93-b227-311af93ffb02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9699be35-80a7-407c-9fb7-cc56abacd2ff' class='xr-var-data-in' type='checkbox'><label for='data-9699be35-80a7-407c-9fb7-cc56abacd2ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude of &#x27;southwest&#x27; corner of tracer grid cell</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>coordinate :</span></dt><dd>YG XG</dd><dt><span>comment :</span></dt><dd>Nonuniform grid spacing. Note: &#x27;southwest&#x27; does not correspond to geographic orientation but is used for convenience to describe the computational grid. See MITgcm dcoumentation for details.</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([[[-115.      , -115.      , -115.      , ...,   65.      ,\n",
       "           65.      ,   65.      ],\n",
       "        [-108.47213 , -107.915245, -107.26045 , ...,   64.56598 ,\n",
       "           64.59443 ,   64.62261 ],\n",
       "        [-101.9954  , -100.91797 ,  -99.66073 , ...,   64.12406 ,\n",
       "           64.18147 ,   64.23835 ],\n",
       "        ...,\n",
       "        [ -38.      ,  -37.      ,  -36.      , ...,   49.      ,\n",
       "           50.      ,   51.      ],\n",
       "        [ -38.      ,  -37.      ,  -36.      , ...,   49.      ,\n",
       "           50.      ,   51.      ],\n",
       "        [ -38.      ,  -37.      ,  -36.      , ...,   49.      ,\n",
       "           50.      ,   51.      ]],\n",
       "\n",
       "       [[ -38.      ,  -37.      ,  -36.      , ...,   49.      ,\n",
       "           50.      ,   51.      ],\n",
       "        [ -38.      ,  -37.      ,  -36.      , ...,   49.      ,\n",
       "           50.      ,   51.      ],\n",
       "        [ -38.      ,  -37.      ,  -36.      , ...,   49.      ,\n",
       "           50.      ,   51.      ],\n",
       "...\n",
       "        [ -41.      ,  -41.      ,  -41.      , ...,  -41.      ,\n",
       "          -41.      ,  -41.      ],\n",
       "        [ -40.      ,  -40.      ,  -40.      , ...,  -40.      ,\n",
       "          -40.      ,  -40.      ],\n",
       "        [ -39.      ,  -39.      ,  -39.      , ...,  -39.      ,\n",
       "          -39.      ,  -39.      ]],\n",
       "\n",
       "       [[-128.      , -128.      , -128.      , ..., -116.06686 ,\n",
       "         -115.70526 , -115.34945 ],\n",
       "        [-127.      , -127.      , -127.      , ..., -115.982254,\n",
       "         -115.64933 , -115.32173 ],\n",
       "        [-126.      , -126.      , -126.      , ..., -115.89828 ,\n",
       "         -115.59381 , -115.29422 ],\n",
       "        ...,\n",
       "        [ -41.      ,  -41.      ,  -41.      , ...,  -99.28857 ,\n",
       "         -104.466286, -109.73619 ],\n",
       "        [ -40.      ,  -40.      ,  -40.      , ...,  -98.24634 ,\n",
       "         -103.74563 , -109.36924 ],\n",
       "        [ -39.      ,  -39.      ,  -39.      , ...,  -97.07265 ,\n",
       "         -102.928925, -108.95171 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>YG</span></div><div class='xr-var-dims'>(tile, j_g, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-88.18 -88.32 ... -87.99 -88.02</div><input id='attrs-779da056-e826-4256-93f8-820993c822c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-779da056-e826-4256-93f8-820993c822c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea265d15-6668-4f18-9885-41a968e3ff08' class='xr-var-data-in' type='checkbox'><label for='data-ea265d15-6668-4f18-9885-41a968e3ff08' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude of &#x27;southwest&#x27; corner of tracer grid cell</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>coordinate :</span></dt><dd>YG XG</dd><dt><span>comment :</span></dt><dd>Nonuniform grid spacing. Note: &#x27;southwest&#x27; does not correspond to geographic orientation but is used for convenience to describe the computational grid. See MITgcm dcoumentation for details.</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([[[-88.17569 , -88.31587 , -88.45609 , ..., -80.610275,\n",
       "         -80.53945 , -80.47247 ],\n",
       "        [-88.16335 , -88.30251 , -88.44153 , ..., -80.608   ,\n",
       "         -80.5372  , -80.470245],\n",
       "        [-88.12586 , -88.26202 , -88.397514, ..., -80.601006,\n",
       "         -80.530266, -80.46337 ],\n",
       "        ...,\n",
       "        [-58.58002 , -58.58002 , -58.58002 , ..., -58.58002 ,\n",
       "         -58.58002 , -58.58002 ],\n",
       "        [-58.06183 , -58.06183 , -58.06183 , ..., -58.06183 ,\n",
       "         -58.06183 , -58.06183 ],\n",
       "        [-57.53605 , -57.53605 , -57.53605 , ..., -57.53605 ,\n",
       "         -57.53605 , -57.53605 ]],\n",
       "\n",
       "       [[-57.005695, -57.005695, -57.005695, ..., -57.005695,\n",
       "         -57.005695, -57.005695],\n",
       "        [-56.471046, -56.471046, -56.471046, ..., -56.471046,\n",
       "         -56.471046, -56.471046],\n",
       "        [-55.931786, -55.931786, -55.931786, ..., -55.931786,\n",
       "         -55.931786, -55.931786],\n",
       "...\n",
       "        [  9.96973 ,   8.997536,   8.039881, ..., -55.384766,\n",
       "         -55.931786, -56.471046],\n",
       "        [  9.96973 ,   8.997536,   8.039881, ..., -55.384766,\n",
       "         -55.931786, -56.471046],\n",
       "        [  9.96973 ,   8.997536,   8.039881, ..., -55.384766,\n",
       "         -55.931786, -56.471046]],\n",
       "\n",
       "       [[-57.005695, -57.53605 , -58.06183 , ..., -80.38878 ,\n",
       "         -80.400444, -80.40726 ],\n",
       "        [-57.005695, -57.53605 , -58.06183 , ..., -80.33003 ,\n",
       "         -80.34161 , -80.34837 ],\n",
       "        [-57.005695, -57.53605 , -58.06183 , ..., -80.27549 ,\n",
       "         -80.286995, -80.29371 ],\n",
       "        ...,\n",
       "        [-57.005695, -57.53605 , -58.06183 , ..., -87.66318 ,\n",
       "         -87.71477 , -87.7454  ],\n",
       "        [-57.005695, -57.53605 , -58.06183 , ..., -87.797325,\n",
       "         -87.85214 , -87.884766],\n",
       "        [-57.005695, -57.53605 , -58.06183 , ..., -87.93075 ,\n",
       "         -87.9892  , -88.02409 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Z</span></div><div class='xr-var-dims'>(k)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-5.0 -15.0 ... -5.906e+03</div><input id='attrs-6325f820-4b27-446b-b63b-a1520b205ddc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6325f820-4b27-446b-b63b-a1520b205ddc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3f77b29-dd44-45c4-89f8-8c24d685fa6d' class='xr-var-data-in' type='checkbox'><label for='data-d3f77b29-dd44-45c4-89f8-8c24d685fa6d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>depth of tracer grid cell center</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>bounds :</span></dt><dd>Z_bnds</dd><dt><span>comment :</span></dt><dd>Non-uniform vertical spacing.</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>standard_name :</span></dt><dd>depth</dd></dl></div><div class='xr-var-data'><pre>array([-5.000000e+00, -1.500000e+01, -2.500000e+01, -3.500000e+01,\n",
       "       -4.500000e+01, -5.500000e+01, -6.500000e+01, -7.500500e+01,\n",
       "       -8.502500e+01, -9.509500e+01, -1.053100e+02, -1.158700e+02,\n",
       "       -1.271500e+02, -1.397400e+02, -1.544700e+02, -1.724000e+02,\n",
       "       -1.947350e+02, -2.227100e+02, -2.574700e+02, -2.999300e+02,\n",
       "       -3.506800e+02, -4.099300e+02, -4.774700e+02, -5.527100e+02,\n",
       "       -6.347350e+02, -7.224000e+02, -8.144700e+02, -9.097400e+02,\n",
       "       -1.007155e+03, -1.105905e+03, -1.205535e+03, -1.306205e+03,\n",
       "       -1.409150e+03, -1.517095e+03, -1.634175e+03, -1.765135e+03,\n",
       "       -1.914150e+03, -2.084035e+03, -2.276225e+03, -2.491250e+03,\n",
       "       -2.729250e+03, -2.990250e+03, -3.274250e+03, -3.581250e+03,\n",
       "       -3.911250e+03, -4.264250e+03, -4.640250e+03, -5.039250e+03,\n",
       "       -5.461250e+03, -5.906250e+03], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Zp1</span></div><div class='xr-var-dims'>(k_p1)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 -10.0 ... -5.678e+03 -6.134e+03</div><input id='attrs-8575d4a7-0a9c-45f1-b3ec-d6fceeb32c29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8575d4a7-0a9c-45f1-b3ec-d6fceeb32c29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-536c9302-e151-44ef-a0b8-f526f09341a8' class='xr-var-data-in' type='checkbox'><label for='data-536c9302-e151-44ef-a0b8-f526f09341a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>depth of tracer grid cell interface</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>comment :</span></dt><dd>Contains one element more than the number of vertical layers. First element is 0m, the depth of the upper interface of the surface grid cell. Last element is the depth of the lower interface of the deepest grid cell.</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>standard_name :</span></dt><dd>depth</dd></dl></div><div class='xr-var-data'><pre>array([    0.  ,   -10.  ,   -20.  ,   -30.  ,   -40.  ,   -50.  ,\n",
       "         -60.  ,   -70.  ,   -80.01,   -90.04,  -100.15,  -110.47,\n",
       "        -121.27,  -133.03,  -146.45,  -162.49,  -182.31,  -207.16,\n",
       "        -238.26,  -276.68,  -323.18,  -378.18,  -441.68,  -513.26,\n",
       "        -592.16,  -677.31,  -767.49,  -861.45,  -958.03, -1056.28,\n",
       "       -1155.53, -1255.54, -1356.87, -1461.43, -1572.76, -1695.59,\n",
       "       -1834.68, -1993.62, -2174.45, -2378.  , -2604.5 , -2854.  ,\n",
       "       -3126.5 , -3422.  , -3740.5 , -4082.  , -4446.5 , -4834.  ,\n",
       "       -5244.5 , -5678.  , -6134.5 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Zu</span></div><div class='xr-var-dims'>(k_u)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-10.0 -20.0 ... -6.134e+03</div><input id='attrs-6c09fb61-b84a-484e-9c06-d47f66da8084' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c09fb61-b84a-484e-9c06-d47f66da8084' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76534a2a-d056-4bac-b25b-310b45019d43' class='xr-var-data-in' type='checkbox'><label for='data-76534a2a-d056-4bac-b25b-310b45019d43' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>long_name :</span></dt><dd>depth of the bottom face of tracer grid cells</dd><dt><span>comment :</span></dt><dd>First element is -10m, the depth of the bottom face of the first tracer grid cell. Last element is the depth of the bottom face of the deepest grid cell. The use of &#x27;u&#x27; in the variable name follows the MITgcm convention for ocean variables in which the upper (u) face of a tracer grid cell on the logical grid corresponds to the bottom face of the grid cell on the physical grid. In other words, the logical vertical grid of MITgcm ocean variables is inverted relative to the physical vertical grid.</dd></dl></div><div class='xr-var-data'><pre>array([  -10.  ,   -20.  ,   -30.  ,   -40.  ,   -50.  ,   -60.  ,\n",
       "         -70.  ,   -80.01,   -90.04,  -100.15,  -110.47,  -121.27,\n",
       "        -133.03,  -146.45,  -162.49,  -182.31,  -207.16,  -238.26,\n",
       "        -276.68,  -323.18,  -378.18,  -441.68,  -513.26,  -592.16,\n",
       "        -677.31,  -767.49,  -861.45,  -958.03, -1056.28, -1155.53,\n",
       "       -1255.54, -1356.87, -1461.43, -1572.76, -1695.59, -1834.68,\n",
       "       -1993.62, -2174.45, -2378.  , -2604.5 , -2854.  , -3126.5 ,\n",
       "       -3422.  , -3740.5 , -4082.  , -4446.5 , -4834.  , -5244.5 ,\n",
       "       -5678.  , -6134.5 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Zl</span></div><div class='xr-var-dims'>(k_l)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 -10.0 ... -5.244e+03 -5.678e+03</div><input id='attrs-89d5ff74-48b2-4bc0-ae58-cb2cdc5bfee9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89d5ff74-48b2-4bc0-ae58-cb2cdc5bfee9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28d39e6b-7c48-4490-9bfc-a85b31282c51' class='xr-var-data-in' type='checkbox'><label for='data-28d39e6b-7c48-4490-9bfc-a85b31282c51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>long_name :</span></dt><dd>depth of the top face of tracer grid cells</dd><dt><span>comment :</span></dt><dd>First element is 0m, the depth of the top face of the first tracer grid cell (ocean surface). Last element is the depth of the top face of the deepest grid cell. The use of &#x27;l&#x27; in the variable name follows the MITgcm convention for ocean variables in which the lower (l) face of a tracer grid cell on the logical grid corresponds to the top face of the grid cell on the physical grid. In other words, the logical vertical grid of MITgcm ocean variables is inverted relative to the physical vertical grid.</dd></dl></div><div class='xr-var-data'><pre>array([    0.  ,   -10.  ,   -20.  ,   -30.  ,   -40.  ,   -50.  ,\n",
       "         -60.  ,   -70.  ,   -80.01,   -90.04,  -100.15,  -110.47,\n",
       "        -121.27,  -133.03,  -146.45,  -162.49,  -182.31,  -207.16,\n",
       "        -238.26,  -276.68,  -323.18,  -378.18,  -441.68,  -513.26,\n",
       "        -592.16,  -677.31,  -767.49,  -861.45,  -958.03, -1056.28,\n",
       "       -1155.53, -1255.54, -1356.87, -1461.43, -1572.76, -1695.59,\n",
       "       -1834.68, -1993.62, -2174.45, -2378.  , -2604.5 , -2854.  ,\n",
       "       -3126.5 , -3422.  , -3740.5 , -4082.  , -4446.5 , -4834.  ,\n",
       "       -5244.5 , -5678.  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nv)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2000-01-01 2000-02-01</div><input id='attrs-ab8686a9-5403-4fba-867d-ecbb295c8807' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab8686a9-5403-4fba-867d-ecbb295c8807' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a72ef635-ef4c-4c3b-b778-1f88525bebee' class='xr-var-data-in' type='checkbox'><label for='data-a72ef635-ef4c-4c3b-b778-1f88525bebee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Start and end times of averaging period.</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>long_name :</span></dt><dd>time bounds of averaging period</dd></dl></div><div class='xr-var-data'><pre>array([[&#x27;2000-01-01T00:00:00.000000000&#x27;, &#x27;2000-02-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XC_bnds</span></div><div class='xr-var-dims'>(tile, j, i, nb)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-115.0 -115.0 ... -115.0 -108.5</div><input id='attrs-b7b20bed-c53b-4f13-b634-1a4b9cc460bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b7b20bed-c53b-4f13-b634-1a4b9cc460bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a81f17e-01af-4841-b7d1-b5b5eebe42a9' class='xr-var-data-in' type='checkbox'><label for='data-3a81f17e-01af-4841-b7d1-b5b5eebe42a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Bounds array follows CF conventions. XC_bnds[i,j,0] = &#x27;southwest&#x27; corner (j-1, i-1), XC_bnds[i,j,1] = &#x27;southeast&#x27; corner (j-1, i+1), XC_bnds[i,j,2] = &#x27;northeast&#x27; corner (j+1, i+1), XC_bnds[i,j,3]  = &#x27;northwest&#x27; corner (j+1, i-1). Note: &#x27;southwest&#x27;, &#x27;southeast&#x27;, northwest&#x27;, and &#x27;northeast&#x27; do not correspond to geographic orientation but are used for convenience to describe the computational grid. See MITgcm dcoumentation for details.</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>long_name :</span></dt><dd>longitudes of tracer grid cell corners</dd></dl></div><div class='xr-var-data'><pre>array([[[[-115.      , -115.      , -107.915245, -108.47213 ],\n",
       "         [-115.      , -115.      , -107.26045 , -107.915245],\n",
       "         [-115.      , -115.      , -106.47914 , -107.26045 ],\n",
       "         ...,\n",
       "         [  65.      ,   65.      ,   64.59443 ,   64.56598 ],\n",
       "         [  65.      ,   65.      ,   64.62261 ,   64.59443 ],\n",
       "         [  65.      ,   65.      ,   64.65055 ,   64.62261 ]],\n",
       "\n",
       "        [[-108.47213 , -107.915245, -100.91797 , -101.9954  ],\n",
       "         [-107.915245, -107.26045 ,  -99.66073 , -100.91797 ],\n",
       "         [-107.26045 , -106.47914 ,  -98.17517 ,  -99.66073 ],\n",
       "         ...,\n",
       "         [  64.56598 ,   64.59443 ,   64.18147 ,   64.12406 ],\n",
       "         [  64.59443 ,   64.62261 ,   64.23835 ,   64.18147 ],\n",
       "         [  64.62261 ,   64.65055 ,   64.29474 ,   64.23835 ]],\n",
       "\n",
       "        [[-101.9954  , -100.91797 ,  -94.218956,  -95.74128 ],\n",
       "         [-100.91797 ,  -99.66073 ,  -92.46296 ,  -94.218956],\n",
       "         [ -99.66073 ,  -98.17517 ,  -90.417885,  -92.46296 ],\n",
       "         ...,\n",
       "...\n",
       "         [ -99.28857 , -104.466286, -103.74563 ,  -98.24634 ],\n",
       "         [-104.466286, -109.73619 , -109.36924 , -103.74563 ],\n",
       "         [-109.73619 , -115.      , -115.      , -109.36924 ]],\n",
       "\n",
       "        [[ -40.      ,  -40.      ,  -39.      ,  -39.      ],\n",
       "         [ -40.      ,  -40.      ,  -39.      ,  -39.      ],\n",
       "         [ -40.      ,  -40.      ,  -39.      ,  -39.      ],\n",
       "         ...,\n",
       "         [ -98.24634 , -103.74563 , -102.928925,  -97.07265 ],\n",
       "         [-103.74563 , -109.36924 , -108.95171 , -102.928925],\n",
       "         [-109.36924 , -115.      , -115.      , -108.95171 ]],\n",
       "\n",
       "        [[ -39.      ,  -39.      ,  -38.      ,  -38.      ],\n",
       "         [ -39.      ,  -39.      ,  -38.      ,  -38.      ],\n",
       "         [ -39.      ,  -39.      ,  -38.      ,  -38.      ],\n",
       "         ...,\n",
       "         [ -97.07265 , -102.928925, -101.9954  ,  -95.74128 ],\n",
       "         [-102.928925, -108.95171 , -108.47213 , -101.9954  ],\n",
       "         [-108.95171 , -115.      , -115.      , -108.47213 ]]]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>YC_bnds</span></div><div class='xr-var-dims'>(tile, j, i, nb)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-88.18 -88.32 ... -88.18 -88.16</div><input id='attrs-09a2dec7-cdb8-457b-a48c-075bf74ee3d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09a2dec7-cdb8-457b-a48c-075bf74ee3d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a818c38e-61a2-4378-878b-2138bf807dbb' class='xr-var-data-in' type='checkbox'><label for='data-a818c38e-61a2-4378-878b-2138bf807dbb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Bounds array follows CF conventions. YC_bnds[i,j,0] = &#x27;southwest&#x27; corner (j-1, i-1), YC_bnds[i,j,1] = &#x27;southeast&#x27; corner (j-1, i+1), YC_bnds[i,j,2] = &#x27;northeast&#x27; corner (j+1, i+1), YC_bnds[i,j,3]  = &#x27;northwest&#x27; corner (j+1, i-1). Note: &#x27;southwest&#x27;, &#x27;southeast&#x27;, northwest&#x27;, and &#x27;northeast&#x27; do not correspond to geographic orientation but are used for convenience to describe the computational grid. See MITgcm dcoumentation for details.</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>long_name :</span></dt><dd>latitudes of tracer grid cell corners</dd></dl></div><div class='xr-var-data'><pre>array([[[[-88.17569 , -88.31587 , -88.30251 , -88.16335 ],\n",
       "         [-88.31587 , -88.45609 , -88.44153 , -88.30251 ],\n",
       "         [-88.45609 , -88.596344, -88.580345, -88.44153 ],\n",
       "         ...,\n",
       "         [-80.610275, -80.53945 , -80.5372  , -80.608   ],\n",
       "         [-80.53945 , -80.47247 , -80.470245, -80.5372  ],\n",
       "         [-80.47247 , -80.40948 , -80.40726 , -80.470245]],\n",
       "\n",
       "        [[-88.16335 , -88.30251 , -88.26202 , -88.12586 ],\n",
       "         [-88.30251 , -88.44153 , -88.397514, -88.26202 ],\n",
       "         [-88.44153 , -88.580345, -88.53216 , -88.397514],\n",
       "         ...,\n",
       "         [-80.608   , -80.5372  , -80.530266, -80.601006],\n",
       "         [-80.5372  , -80.470245, -80.46337 , -80.530266],\n",
       "         [-80.470245, -80.40726 , -80.400444, -80.46337 ]],\n",
       "\n",
       "        [[-88.12586 , -88.26202 , -88.194695, -88.06328 ],\n",
       "         [-88.26202 , -88.397514, -88.32474 , -88.194695],\n",
       "         [-88.397514, -88.53216 , -88.453026, -88.32474 ],\n",
       "         ...,\n",
       "...\n",
       "         [-87.66318 , -87.71477 , -87.85214 , -87.797325],\n",
       "         [-87.71477 , -87.7454  , -87.884766, -87.85214 ],\n",
       "         [-87.7454  , -87.75544 , -87.89547 , -87.884766]],\n",
       "\n",
       "        [[-57.005695, -57.53605 , -57.53605 , -57.005695],\n",
       "         [-57.53605 , -58.06183 , -58.06183 , -57.53605 ],\n",
       "         [-58.06183 , -58.58002 , -58.58002 , -58.06183 ],\n",
       "         ...,\n",
       "         [-87.797325, -87.85214 , -87.9892  , -87.93075 ],\n",
       "         [-87.85214 , -87.884766, -88.02409 , -87.9892  ],\n",
       "         [-87.884766, -87.89547 , -88.03555 , -88.02409 ]],\n",
       "\n",
       "        [[-57.005695, -57.53605 , -57.53605 , -57.005695],\n",
       "         [-57.53605 , -58.06183 , -58.06183 , -57.53605 ],\n",
       "         [-58.06183 , -58.58002 , -58.58002 , -58.06183 ],\n",
       "         ...,\n",
       "         [-87.93075 , -87.9892  , -88.12586 , -88.06328 ],\n",
       "         [-87.9892  , -88.02409 , -88.16335 , -88.12586 ],\n",
       "         [-88.02409 , -88.03555 , -88.17569 , -88.16335 ]]]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Z_bnds</span></div><div class='xr-var-dims'>(k, nv)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 -10.0 ... -5.678e+03 -6.134e+03</div><input id='attrs-d58d0fcf-6ae0-4fa9-9dec-285519c5e13b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d58d0fcf-6ae0-4fa9-9dec-285519c5e13b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a93dff7-871e-4a52-aa90-bac0b2ed17a4' class='xr-var-data-in' type='checkbox'><label for='data-0a93dff7-871e-4a52-aa90-bac0b2ed17a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>One pair of depths for each vertical level.</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>long_name :</span></dt><dd>depths of tracer grid cell upper and lower interfaces</dd></dl></div><div class='xr-var-data'><pre>array([[    0.      ,   -10.      ],\n",
       "       [  -10.      ,   -20.      ],\n",
       "       [  -20.      ,   -30.      ],\n",
       "       [  -30.      ,   -40.      ],\n",
       "       [  -40.      ,   -50.      ],\n",
       "       [  -50.      ,   -60.      ],\n",
       "       [  -60.      ,   -70.      ],\n",
       "       [  -70.      ,   -80.01    ],\n",
       "       [  -80.01    ,   -90.04    ],\n",
       "       [  -90.04    ,  -100.15    ],\n",
       "       [ -100.15    ,  -110.47    ],\n",
       "       [ -110.47    ,  -121.270004],\n",
       "       [ -121.270004,  -133.03    ],\n",
       "       [ -133.03    ,  -146.45    ],\n",
       "       [ -146.45    ,  -162.48999 ],\n",
       "       [ -162.48999 ,  -182.31    ],\n",
       "       [ -182.31    ,  -207.16    ],\n",
       "       [ -207.16    ,  -238.26001 ],\n",
       "       [ -238.26001 ,  -276.68    ],\n",
       "       [ -276.68    ,  -323.18    ],\n",
       "...\n",
       "       [-1155.53    , -1255.54    ],\n",
       "       [-1255.54    , -1356.87    ],\n",
       "       [-1356.87    , -1461.4299  ],\n",
       "       [-1461.4299  , -1572.7599  ],\n",
       "       [-1572.7599  , -1695.5898  ],\n",
       "       [-1695.5898  , -1834.6798  ],\n",
       "       [-1834.6798  , -1993.6199  ],\n",
       "       [-1993.6199  , -2174.45    ],\n",
       "       [-2174.45    , -2378.      ],\n",
       "       [-2378.      , -2604.5     ],\n",
       "       [-2604.5     , -2854.      ],\n",
       "       [-2854.      , -3126.5     ],\n",
       "       [-3126.5     , -3422.      ],\n",
       "       [-3422.      , -3740.5     ],\n",
       "       [-3740.5     , -4082.      ],\n",
       "       [-4082.      , -4446.5     ],\n",
       "       [-4446.5     , -4834.      ],\n",
       "       [-4834.      , -5244.5     ],\n",
       "       [-5244.5     , -5678.      ],\n",
       "       [-5678.      , -6134.5     ]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b06a42d0-ef0a-4b2b-8823-43efacba6bf0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b06a42d0-ef0a-4b2b-8823-43efacba6bf0' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>THETA</span></div><div class='xr-var-dims'>(time, k, tile, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-e0bd622b-5c3b-49cb-8ac5-17995e7a1794' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0bd622b-5c3b-49cb-8ac5-17995e7a1794' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06bfccd0-59f2-48e6-8c38-c6ba4b813ddf' class='xr-var-data-in' type='checkbox'><label for='data-06bfccd0-59f2-48e6-8c38-c6ba4b813ddf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Potential temperature </dd><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>coverage_content_type :</span></dt><dd>modelResult</dd><dt><span>standard_name :</span></dt><dd>sea_water_potential_temperature</dd><dt><span>comment :</span></dt><dd>Sea water potential temperature is the temperature a parcel of sea water would have if moved adiabatically to sea level pressure. Note: the equation of state is a modified UNESCO formula by Jackett and McDougall (1995), which uses the model variable potential temperature as input assuming a horizontally and temporally constant pressure of $p_0=-g \\rho_{0} z$.</dd><dt><span>valid_min :</span></dt><dd>-2.2909388542175293</dd><dt><span>valid_max :</span></dt><dd>36.032955169677734</dd></dl></div><div class='xr-var-data'><pre>array([[[[[        nan,         nan,         nan, ...,         nan,\n",
       "                   nan,         nan],\n",
       "          [        nan,         nan,         nan, ...,         nan,\n",
       "                   nan,         nan],\n",
       "          [        nan,         nan,         nan, ...,         nan,\n",
       "                   nan,         nan],\n",
       "          ...,\n",
       "          [ 2.0150998 ,  1.8500369 ,  1.7158271 , ...,  1.2690276 ,\n",
       "            1.2762636 ,  1.2818807 ],\n",
       "          [ 2.165934  ,  2.0265455 ,  1.9142427 , ...,  1.4935592 ,\n",
       "            1.5256925 ,  1.5579091 ],\n",
       "          [ 2.3252757 ,  2.2175179 ,  2.1277325 , ...,  1.6612649 ,\n",
       "            1.71897   ,  1.7859045 ]],\n",
       "\n",
       "         [[ 2.4857087 ,  2.4016702 ,  2.32118   , ...,  1.8100861 ,\n",
       "            1.883864  ,  1.971705  ],\n",
       "          [ 2.6355932 ,  2.565597  ,  2.4743383 , ...,  1.953382  ,\n",
       "            2.0328922 ,  2.1297424 ],\n",
       "          [ 2.7584994 ,  2.6986895 ,  2.573742  , ...,  2.0923412 ,\n",
       "            2.1718698 ,  2.2700255 ],\n",
       "...\n",
       "          [        nan,         nan,         nan, ...,         nan,\n",
       "                   nan,         nan],\n",
       "          [        nan,         nan,         nan, ...,         nan,\n",
       "                   nan,         nan],\n",
       "          [        nan,         nan,         nan, ...,         nan,\n",
       "                   nan,         nan]],\n",
       "\n",
       "         [[        nan,         nan,         nan, ...,         nan,\n",
       "                   nan,         nan],\n",
       "          [        nan,         nan,         nan, ...,         nan,\n",
       "                   nan,         nan],\n",
       "          [        nan,         nan,         nan, ...,         nan,\n",
       "                   nan,         nan],\n",
       "          ...,\n",
       "          [        nan,         nan,         nan, ...,         nan,\n",
       "                   nan,         nan],\n",
       "          [        nan,         nan,         nan, ...,         nan,\n",
       "                   nan,         nan],\n",
       "          [        nan,         nan,         nan, ...,         nan,\n",
       "                   nan,         nan]]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SALT</span></div><div class='xr-var-dims'>(time, k, tile, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-4b2e9f4f-ffb8-429f-bb12-aeb792cc95d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b2e9f4f-ffb8-429f-bb12-aeb792cc95d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe186166-d5a0-4700-9863-9cbf7b67a0c7' class='xr-var-data-in' type='checkbox'><label for='data-fe186166-d5a0-4700-9863-9cbf7b67a0c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Salinity</dd><dt><span>units :</span></dt><dd>1e-3</dd><dt><span>coverage_content_type :</span></dt><dd>modelResult</dd><dt><span>standard_name :</span></dt><dd>sea_water_salinity</dd><dt><span>valid_min :</span></dt><dd>17.106637954711914</dd><dt><span>valid_max :</span></dt><dd>41.26802444458008</dd><dt><span>comment :</span></dt><dd>Defined using CF convention &#x27;Sea water salinity is the salt content of sea water, often on the Practical Salinity Scale of 1978. However, the unqualified term &#x27;salinity&#x27; is generic and does not necessarily imply any particular method of calculation. The units of salinity are dimensionless and the units attribute should normally be given as 1e-3 or 0.001 i.e. parts per thousand.&#x27; see https://cfconventions.org/Data/cf-standard-names/73/build/cf-standard-name-table.html</dd></dl></div><div class='xr-var-data'><pre>array([[[[[      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                 nan],\n",
       "          [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                 nan],\n",
       "          [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                 nan],\n",
       "          ...,\n",
       "          [33.593304, 33.571117, 33.552166, ..., 33.94474 , 33.945957,\n",
       "           33.945374],\n",
       "          [33.61394 , 33.597248, 33.585266, ..., 33.967583, 33.968716,\n",
       "           33.96788 ],\n",
       "          [33.631084, 33.618633, 33.610626, ..., 33.976833, 33.97678 ,\n",
       "           33.97494 ]],\n",
       "\n",
       "         [[33.64739 , 33.638817, 33.63297 , ..., 33.978233, 33.977135,\n",
       "           33.974125],\n",
       "          [33.664444, 33.661697, 33.65787 , ..., 33.97736 , 33.97548 ,\n",
       "           33.97145 ],\n",
       "          [33.68748 , 33.693874, 33.69012 , ..., 33.976746, 33.974003,\n",
       "           33.968967],\n",
       "...\n",
       "          [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                 nan],\n",
       "          [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                 nan],\n",
       "          [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                 nan]],\n",
       "\n",
       "         [[      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                 nan],\n",
       "          [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                 nan],\n",
       "          [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                 nan],\n",
       "          ...,\n",
       "          [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                 nan],\n",
       "          [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                 nan],\n",
       "          [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                 nan]]]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b5df257e-773e-4bb0-86d6-1ab5ae4fc643' class='xr-section-summary-in' type='checkbox'  ><label for='section-b5df257e-773e-4bb0-86d6-1ab5ae4fc643' class='xr-section-summary' >Indexes: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>i</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-51469dc2-c644-4612-ade1-869d782bee0b' class='xr-index-data-in' type='checkbox'/><label for='index-51469dc2-c644-4612-ade1-869d782bee0b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89],\n",
       "      dtype=&#x27;int32&#x27;, name=&#x27;i&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>i_g</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cc2776b9-33e7-466b-8d26-0d8c897baf2f' class='xr-index-data-in' type='checkbox'/><label for='index-cc2776b9-33e7-466b-8d26-0d8c897baf2f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89],\n",
       "      dtype=&#x27;int32&#x27;, name=&#x27;i_g&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>j</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e93ff342-f38e-495a-a833-a6deb85da820' class='xr-index-data-in' type='checkbox'/><label for='index-e93ff342-f38e-495a-a833-a6deb85da820' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89],\n",
       "      dtype=&#x27;int32&#x27;, name=&#x27;j&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>j_g</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-88b6e8a6-2013-437f-817e-bf8c1d42e326' class='xr-index-data-in' type='checkbox'/><label for='index-88b6e8a6-2013-437f-817e-bf8c1d42e326' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89],\n",
       "      dtype=&#x27;int32&#x27;, name=&#x27;j_g&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>k</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d47bff97-b9c8-477b-9a5e-1bfbe743103d' class='xr-index-data-in' type='checkbox'/><label for='index-d47bff97-b9c8-477b-9a5e-1bfbe743103d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49],\n",
       "      dtype=&#x27;int32&#x27;, name=&#x27;k&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>k_u</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6d469dad-2383-4a31-94b9-294ea98ea2ec' class='xr-index-data-in' type='checkbox'/><label for='index-6d469dad-2383-4a31-94b9-294ea98ea2ec' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49],\n",
       "      dtype=&#x27;int32&#x27;, name=&#x27;k_u&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>k_l</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-eb17a103-ea11-4357-8afc-ca62f7eba5cd' class='xr-index-data-in' type='checkbox'/><label for='index-eb17a103-ea11-4357-8afc-ca62f7eba5cd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49],\n",
       "      dtype=&#x27;int32&#x27;, name=&#x27;k_l&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>k_p1</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3ee9fb02-23a3-4aea-a443-10d87cdd01a4' class='xr-index-data-in' type='checkbox'/><label for='index-3ee9fb02-23a3-4aea-a443-10d87cdd01a4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50],\n",
       "      dtype=&#x27;int32&#x27;, name=&#x27;k_p1&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>tile</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cecb4d40-98ca-494f-9c53-a2c92ca85662' class='xr-index-data-in' type='checkbox'/><label for='index-cecb4d40-98ca-494f-9c53-a2c92ca85662' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], dtype=&#x27;int32&#x27;, name=&#x27;tile&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-99374cb1-7903-4393-bbb3-421bee6cdd77' class='xr-index-data-in' type='checkbox'/><label for='index-99374cb1-7903-4393-bbb3-421bee6cdd77' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2000-01-16 12:00:00&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-521b2577-28a6-4255-93b8-501139c08887' class='xr-section-summary-in' type='checkbox'  ><label for='section-521b2577-28a6-4255-93b8-501139c08887' class='xr-section-summary' >Attributes: <span>(62)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>acknowledgement :</span></dt><dd>This research was carried out by the Jet Propulsion Laboratory, managed by the California Institute of Technology under a contract with the National Aeronautics and Space Administration.</dd><dt><span>author :</span></dt><dd>Ian Fenty and Ou Wang</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>comment :</span></dt><dd>Fields provided on the curvilinear lat-lon-cap 90 (llc90) native grid used in the ECCO model.</dd><dt><span>Conventions :</span></dt><dd>CF-1.8, ACDD-1.3</dd><dt><span>coordinates_comment :</span></dt><dd>Note: the global &#x27;coordinates&#x27; attribute describes auxillary coordinates.</dd><dt><span>creator_email :</span></dt><dd>ecco-group@mit.edu</dd><dt><span>creator_institution :</span></dt><dd>NASA Jet Propulsion Laboratory (JPL)</dd><dt><span>creator_name :</span></dt><dd>ECCO Consortium</dd><dt><span>creator_type :</span></dt><dd>group</dd><dt><span>creator_url :</span></dt><dd>https://ecco-group.org</dd><dt><span>date_created :</span></dt><dd>2020-12-18T14:40:01</dd><dt><span>date_issued :</span></dt><dd>2020-12-18T14:40:01</dd><dt><span>date_metadata_modified :</span></dt><dd>2021-03-15T21:54:34</dd><dt><span>date_modified :</span></dt><dd>2021-03-15T21:54:34</dd><dt><span>geospatial_bounds_crs :</span></dt><dd>EPSG:4326</dd><dt><span>geospatial_lat_max :</span></dt><dd>90.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-90.0</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>variable</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_max :</span></dt><dd>180.0</dd><dt><span>geospatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>variable</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_min :</span></dt><dd>-6134.5</dd><dt><span>geospatial_vertical_positive :</span></dt><dd>up</dd><dt><span>geospatial_vertical_resolution :</span></dt><dd>variable</dd><dt><span>geospatial_vertical_units :</span></dt><dd>meter</dd><dt><span>history :</span></dt><dd>Inaugural release of an ECCO Central Estimate solution to PO.DAAC</dd><dt><span>id :</span></dt><dd>10.5067/ECL5M-OTS44</dd><dt><span>institution :</span></dt><dd>NASA Jet Propulsion Laboratory (JPL)</dd><dt><span>instrument_vocabulary :</span></dt><dd>GCMD instrument keywords</dd><dt><span>keywords :</span></dt><dd>EARTH SCIENCE SERVICES &gt; MODELS &gt; EARTH SCIENCE REANALYSES/ASSIMILATION MODELS, EARTH SCIENCE &gt; OCEANS &gt; OCEAN TEMPERATURE &gt; POTENTIAL TEMPERATURE, EARTH SCIENCE &gt; OCEANS &gt; SALINITY/DENSITY &gt; SALINITY</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>license :</span></dt><dd>Public Domain</dd><dt><span>metadata_link :</span></dt><dd>https://cmr.earthdata.nasa.gov/search/collections.umm_json?ShortName=ECCO_L4_TEMP_SALINITY_LLC0090GRID_MONTHLY_V4R4</dd><dt><span>naming_authority :</span></dt><dd>gov.nasa.jpl</dd><dt><span>platform :</span></dt><dd>ERS-1/2, TOPEX/Poseidon, Geosat Follow-On (GFO), ENVISAT, Jason-1, Jason-2, CryoSat-2, SARAL/AltiKa, Jason-3, AVHRR, Aquarius, SSM/I, SSMIS, GRACE, DTU17MDT, Argo, WOCE, GO-SHIP, MEOP, Ice Tethered Profilers (ITP)</dd><dt><span>platform_vocabulary :</span></dt><dd>GCMD platform keywords</dd><dt><span>processing_level :</span></dt><dd>L4</dd><dt><span>product_name :</span></dt><dd>OCEAN_TEMPERATURE_SALINITY_mon_mean_2000-01_ECCO_V4r4_native_llc0090.nc</dd><dt><span>product_time_coverage_end :</span></dt><dd>2018-01-01T00:00:00</dd><dt><span>product_time_coverage_start :</span></dt><dd>1992-01-01T12:00:00</dd><dt><span>product_version :</span></dt><dd>Version 4, Release 4</dd><dt><span>program :</span></dt><dd>NASA Physical Oceanography, Cryosphere, Modeling, Analysis, and Prediction (MAP)</dd><dt><span>project :</span></dt><dd>Estimating the Circulation and Climate of the Ocean (ECCO)</dd><dt><span>publisher_email :</span></dt><dd>podaac@podaac.jpl.nasa.gov</dd><dt><span>publisher_institution :</span></dt><dd>PO.DAAC</dd><dt><span>publisher_name :</span></dt><dd>Physical Oceanography Distributed Active Archive Center (PO.DAAC)</dd><dt><span>publisher_type :</span></dt><dd>institution</dd><dt><span>publisher_url :</span></dt><dd>https://podaac.jpl.nasa.gov</dd><dt><span>references :</span></dt><dd>ECCO Consortium, Fukumori, I., Wang, O., Fenty, I., Forget, G., Heimbach, P., &amp; Ponte, R. M. 2020. Synopsis of the ECCO Central Production Global Ocean and Sea-Ice State Estimate (Version 4 Release 4). doi:10.5281/zenodo.3765928</dd><dt><span>source :</span></dt><dd>The ECCO V4r4 state estimate was produced by fitting a free-running solution of the MITgcm (checkpoint 66g) to satellite and in situ observational data in a least squares sense using the adjoint method</dd><dt><span>standard_name_vocabulary :</span></dt><dd>NetCDF Climate and Forecast (CF) Metadata Convention</dd><dt><span>summary :</span></dt><dd>This dataset provides monthly-averaged ocean potential temperature and salinity on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea-ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.</dd><dt><span>time_coverage_duration :</span></dt><dd>P1M</dd><dt><span>time_coverage_end :</span></dt><dd>2000-02-01T00:00:00</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1M</dd><dt><span>time_coverage_start :</span></dt><dd>2000-01-01T00:00:00</dd><dt><span>title :</span></dt><dd>ECCO Ocean Temperature and Salinity - Monthly Mean llc90 Grid (Version 4 Release 4)</dd><dt><span>uuid :</span></dt><dd>f72f9b24-4181-11eb-bf7d-0cc47a3f4871</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 47MB\n",
       "Dimensions:    (i: 90, i_g: 90, j: 90, j_g: 90, k: 50, k_u: 50, k_l: 50,\n",
       "                k_p1: 51, tile: 13, time: 1, nv: 2, nb: 4)\n",
       "Coordinates: (12/22)\n",
       "  * i          (i) int32 360B 0 1 2 3 4 5 6 7 8 9 ... 81 82 83 84 85 86 87 88 89\n",
       "  * i_g        (i_g) int32 360B 0 1 2 3 4 5 6 7 8 ... 81 82 83 84 85 86 87 88 89\n",
       "  * j          (j) int32 360B 0 1 2 3 4 5 6 7 8 9 ... 81 82 83 84 85 86 87 88 89\n",
       "  * j_g        (j_g) int32 360B 0 1 2 3 4 5 6 7 8 ... 81 82 83 84 85 86 87 88 89\n",
       "  * k          (k) int32 200B 0 1 2 3 4 5 6 7 8 9 ... 41 42 43 44 45 46 47 48 49\n",
       "  * k_u        (k_u) int32 200B 0 1 2 3 4 5 6 7 8 ... 41 42 43 44 45 46 47 48 49\n",
       "    ...         ...\n",
       "    Zu         (k_u) float32 200B -10.0 -20.0 -30.0 ... -5.678e+03 -6.134e+03\n",
       "    Zl         (k_l) float32 200B 0.0 -10.0 -20.0 ... -5.244e+03 -5.678e+03\n",
       "    time_bnds  (time, nv) datetime64[ns] 16B 2000-01-01 2000-02-01\n",
       "    XC_bnds    (tile, j, i, nb) float32 2MB -115.0 -115.0 ... -115.0 -108.5\n",
       "    YC_bnds    (tile, j, i, nb) float32 2MB -88.18 -88.32 ... -88.18 -88.16\n",
       "    Z_bnds     (k, nv) float32 400B 0.0 -10.0 -10.0 ... -5.678e+03 -6.134e+03\n",
       "Dimensions without coordinates: nv, nb\n",
       "Data variables:\n",
       "    THETA      (time, k, tile, j, i) float32 21MB nan nan nan ... nan nan nan\n",
       "    SALT       (time, k, tile, j, i) float32 21MB nan nan nan ... nan nan nan\n",
       "Attributes: (12/62)\n",
       "    acknowledgement:                 This research was carried out by the Jet...\n",
       "    author:                          Ian Fenty and Ou Wang\n",
       "    cdm_data_type:                   Grid\n",
       "    comment:                         Fields provided on the curvilinear lat-l...\n",
       "    Conventions:                     CF-1.8, ACDD-1.3\n",
       "    coordinates_comment:             Note: the global 'coordinates' attribute...\n",
       "    ...                              ...\n",
       "    time_coverage_duration:          P1M\n",
       "    time_coverage_end:               2000-02-01T00:00:00\n",
       "    time_coverage_resolution:        P1M\n",
       "    time_coverage_start:             2000-01-01T00:00:00\n",
       "    title:                           ECCO Ocean Temperature and Salinity - Mo...\n",
       "    uuid:                            f72f9b24-4181-11eb-bf7d-0cc47a3f4871"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_TS = ea.ecco_podaac_to_xrdataset(TS_monthly_shortname,\\\n",
    "                                      StartDate=\"2000-01\",EndDate=\"2000-01\",\\\n",
    "                                      mode=access_mode,\\\n",
    "                                      download_root_dir=download_root_dir,\\\n",
    "                                      jsons_root_dir=jsons_root_dir,\\\n",
    "                                      prompt_request_payer=False)\n",
    "ds_TS = ds_TS.compute()\n",
    "\n",
    "ds_TS"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "582ffeff",
   "metadata": {},
   "source": [
    "There are two data variables:\n",
    "\n",
    "* Potential temperature `THETA` in degrees Celsius, which according to the comment is the temperature a parcel of water would have if moved adiabatically to sea level pressure.\n",
    "* Salinity `SALT`, which is the salt content of sea water in parts per thousand (units 1e-3, corresponding to g/kg)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e1b4e3d",
   "metadata": {},
   "source": [
    "## Compute steric height anomaly\n",
    "\n",
    "Now we will compute steric height anomaly from the density fields in the ECCOv4r4 output. Note that for pressure in these computations a \"reference\" pressure is used that is solely a function of depth and assumes constant density throughout the oceans. This is obviously not the case in reality, but it is most consistent with the Boussinesq approximation used in the MITgcm. A standard specific volume is also computed using the JMD95 equation of state.\n",
    "\n",
    "### Specific volume anomaly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "21d1359e",
   "metadata": {},
   "outputs": [],
   "source": [
    "g = 9.81\n",
    "rhoConst = 1029.\n",
    "\n",
    "# reference pressure (used in Boussinesq model calculations)\n",
    "press_ref = g*(-ds_grid.Z)*rhoConst\n",
    "\n",
    "# in-situ density\n",
    "dens = ds_denspress.RHOAnoma + rhoConst\n",
    "\n",
    "# compute standard specific volume and anomalies\n",
    "S_r = 35    # salinity standard for spec. vol.\n",
    "theta_r = 0.    # potential temperature standard\n",
    "\n",
    "specvol_standard = xr.DataArray(1/densjmd95(S_r,theta_r,(1.e-4)*press_ref.values),\\\n",
    "                                              dims=press_ref.dims)\n",
    "specvol_anom = 1/dens - specvol_standard"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c597d503",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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YYjTNlltuqY2leeGFFwDUjlVHX18fAGDjxo11sTVZN9REHc4991wcffTR2jS77LKLcf/bbrsNPT09uPPOO0frDAA//OEPo+uU5ryF8MMf/hAbNmzAHXfcMWoNAJLYLB8mTZqEE044Ad/61rdw1lln4cYbb8SCBQswefJk636LFy/GCy+8gHvvvXfUugIgk3lO9tprL9x2222oVqt44okncNNNN+Hiiy/G+PHjcc4559RdVzI2Ae2yGgmefPJJPP7447jppptwwgknjK5/5pln6tL53ntTp07F3nvvjUsuuUS7XYhYQgjJGlpaCGkzdA1HoObmoTYafv/73+Pxxx+vW3frrbdi4sSJ2GeffQAkrjx/+tOfsOWWW2K//fZr+IgJ/IQLyNe//vUsD2mU8ePH46CDDsL3vve9KCGwxRZb4MMf/jAWLlyIO++8E6tXr27oYX/ve9+LpUuXjrrGCRYuXIhSqYRDDjnEmL84D0888UTd+h/96EfBdbWxyy674O1vfzsef/xx7f+x3377WeffKJVKKJfL6O7uHl331ltv4dvf/nZ0nd773veONuxlFi5ciM022yyzoatFY1wWhdVqFd/85je98zjttNPw6quv4mMf+xjWrFmDz3/+81HlAsA3vvGNhrQiTaj1pVQq4R3veAf+4z/+A5MnTx69Brfeemv09fU1XFf/8z//E5S/qUy5zgL1uHzvvSOPPBJPPvkkdtxxR+11SdFCCMkLWloIaTPe//73Y9ttt8UHP/hB7LrrrhgeHsZjjz2Gr371q5gwYQL+8R//sS79jBkzcNRRR+Giiy7C9OnTcfPNN+NnP/sZvvKVr4zGVZx++un4wQ9+gAMPPBBnnHEG9t57bwwPD2PFihW455578E//9E/Yf//98Z73vAef+tSn8OUvfxkvvfQSjjzySPT29uLRRx/FZptthi984Qupj0+MarT//vvjnHPOwU477YSXXnoJixYtwje+8Q3nZHknnXQSvvvd7+Lzn/88tt1227pRpIBkksuFCxfiiCOOwMUXX4ztttsOd911F6655hr8wz/8A3beeWdj3ocffjimTJkyOnJauVzGTTfdhJUrV6Y+bpVvfOMbOOyww/D+978fJ554It72trfh9ddfxx/+8Ac88sgj+N73vmfc94gjjsCVV16JBQsW4OSTT8Zrr72GK664Qjvymi8XXnjhaDzDBRdcgClTpuCWW27BXXfdhcsvvxyTJk2Kzlvmfe97H8aNG4djjz0WZ599NgYGBvD1r38df/nLX7zz2HnnnfGBD3wAP/7xj/Hud7+7IaZLxwEHHIAtttgCn/vc53DhhReip6cHt9xyS4PgBxLLCQB85StfwWGHHYbu7m7svffeo65uMnfeeSeuueYafPjDH8YOO+yAarWKO+64A2vWrMH73vc+AImw+OQnP4kbbrgBO+64I97xjndgyZIluPXWW72P2cSuu+6KHXfcEeeccw6q1SqmTJmCH/3oR/jZz37WkNbn3rv44ovxs5/9DAcccABOO+007LLLLhgYGMDy5ctx991349prr4127ySEECutHAWAEBLOd7/73eqCBQuqb3/726sTJkyo9vT0VGfNmlX91Kc+VV26dGldWjFi1/e///3qHnvsUR03blx1++23r1555ZUN+a5fv776z//8z9VddtmlOm7cuOqkSZOqe+21V/WMM86orl69ejTd0NBQ9T/+4z+qe+6552i6efPmVX/0ox+Npkkzeli1Wq0uXbq0+vGPf7y65ZZbVseNG1edNWtW9cQTT6wODAw4z8/Q0FB15syZ1lHO/vznP1cXLFhQ3XLLLas9PT3VXXbZpfrv//7vDSNyQRm5qVqtVpcsWVI94IADqptvvnn1bW97W/XCCy+sfutb39KOHqYer8jz1FNP1Z6Hf//3f69b//jjj1ePOeaY6rRp06o9PT3VbbbZpnrooYdWr732Wud5uOGGG6q77LJLtbe3t7rDDjtUL7vssur111/vXU/df/i73/2u+sEPfrA6adKk6rhx46rveMc7Gv47MXrY9773vbr1ppGtxGhYr7zyyui6H/3oR9V3vOMd1b6+vurb3va26v/3//1/1R//+MdVANVf/vKXo+nU0cNkbrrppiqA6m233WY+SQoPPPBAdd68edXNNtusutVWW1U//elPVx955JGGa3Tjxo3VT3/609WtttqqWiqVGs6pzFNPPVU99thjqzvuuGN1/Pjx1UmTJlXnzp1bvemmm+rSvfHGG9VPf/rT1a233rq6+eabVz/4wQ9Wly9fbhw9TD5fAtM5Xrp0afV973tfdeLEidUtttii+vGPf7y6YsUK7fXtc++98sor1dNOO606e/bsak9PT3XKlCnVfffdt3r++edX169f73eyCSEkkFK1qszCRQjpGLbffnvsueeeoxMaEjJW+OhHP4qHHnoIy5cvt85jRAghpD2gexghhJCOYOPGjXjkkUewZMkS/Pd//zeuvPJKChZCCOkQKFoIIYR0BC+++CIOOOAA9Pf347Of/WwmMVaEEEKKAd3DCCGEEEIIIYWGQx4TQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQULQQQgghhBBCCg1FCyGEEEIIIaTQlFtdAUIIIYS0luHhYbzwwguYOHEiSqVSq6tDSAPVahXr1q3DjBkz0NXFPvexCEULIYQQMsZ54YUXMHPmzFZXgxAnK1euxLbbbtvqapAWQNFCCCGEjHEmTpwIIGkQ9vf3t7g2hDSydu1azJw5c/RaJWMPihZCCCFkjCNcwvr7+ylaSKGh++LYhaKFEEIIIYTUc/HFQKVS+10eaTJ2dwM9Pcnvchk47bT6/e66K1n29CTLvr4knbwU+e2wQ77HQDoKihZCCCGEEFLP+vW17+VyImDEUl6vsmFD/bbBwWQ5cWL9/kK8EOIJRQshhBBCCKlx5pnmbeUyMDSUfNcJDyFSxFJGWF9U8UOIBxQthBBCCCGkxsBA7btsZQGS70Ks6ITH0FD9+qGhxKVM5DE4CIwfT9FCgqFoIYQQQghpMx4olSCa/WLZBeDganU0zapSCeMATJPWaTn++GQphInq9iVbRuTvlQpw5ZVAb28tzkVFFSflMvDWW8nygQdqsS7lMrD77vZ6kjENRQshhBBCSJsxAYlYGUZNtADAYyNCZTMAffBs6A0MNMatCCGhxrDIaYQLWLkMnHpqY77XXad3BSuX60WOKOuRR4B99vE6fjL2oGghhBBCCGkz+pEIFvEBEktLGcA4JIJFLJ3oRIVsWZHTycJFxLboLCwuhOCpVOrdzwgxwCuEEEIIIYXgdWUOjikutyYNT5VK6AJGPzto8nhZKkdu+G8bUV5erBg5DgANyzISS4sQK6poKaNmZemyTcZ4+OH1YkGOW5G/q9sE4vtbb/kdlIxJ8Nx/f7I88MDwPElHQ9FCCCGEkMIw7E7iRAgWUyOnD/UNftXFqgj0oSZSgNrxdCGxoHRptic79iWuV5tvXlvaUK0cJquHyfICJIH2OmzWE90+DM4nFihaCCGEENIS1oxYPFSLgVi+XCq5g8gNiEb9y6XSqPVBNHrKSln9BbKwCIRAgbQUYmVcT0/S6BcCBaiJgJ6eZL26Xebww/WF+goYdZuwmqicdFKyXLhQL1LUuh16qD4fAPjFL8zbyJiAooUQQgghLUMnWNR1IQhx0uX4FB3ZmjJ6PBMnJo3/yZNr4gSoFyzitzwnioosOHTuYTZ0o4j5IoLvRSC+XCZjWogDXiGEEEIIaSprlNgVwbDm+6qRtKZ4k6ekvGRBYnKfUtNoLREtYqBUaohP6QJQFpaVzTdPhIoQL0K0yMegEyHz5+tjUnxJGyjvch+jYCEe8CohhBBCSGHQCRebxWWc9N3HqjK6TjT8bYHqTaah7sKaMnlyshSiZfz4msVCRh2eWIdO1PhaW3QB+r7IVpbu7tp3X+FCYTPm4RVACCGEkKagWlh83b+6kIympaOspBNL2UWsrCzR11eL+3AFqufBuHHA4GCdKxxQq38ZqAXRy2Jl4sSk8T5hwkjCCBctlRhrhyxeLr/cnV6ek0V2XfPh/vsZoE8AULQQQgghpAX4CJYu1A/nK5ZqgLpuvTz876iLlRArwnrR3Q1ssUWKo0hBT0+jJUg06IXr18SJiWCZODH5PWFC0vjvU2ZfEXOdyDPVq+hG/1IFi03AqHO0hAgJ2cIiBIw4Bh+xpLMqkTEHrwBCCCGENIXJI3EpppgWHbqged38JapoqbOuyFYL4RYmhgQWVos8mT49mXVejLKlig6BaNQLYSUEy4QJ9aJF5xamEy02YeEjVGxcc41/WiFYxHdTmUuW1L6rIouiZczDK4AQQgghhUFYV2xiRXb9AhrdwOriQWQBIESLLACaIVrkkb5M24FG0SKLFbnOKrJIEZ+Bgfp1ITEuLkLdtbq7kzgcoN7C4poPhm5hRIKihRBCCCGFwCZYxHbbpyFmRf7oXKzE8rTTkvWXXpr+IPbeGxgcrI/b2HLLmtuXjDq/iSpaZFc2NZZFzkvkI4sWWby4XMd8BM0NNzgP3Yg8cIBsOdFZjGSxkmbEM9JxULQQQgghpKno4ll8LCw6kQJIYkUeCtgkVnSiJUu6u+sndlTLFY1y1aULqG2X6ybqLqwVcmyI2EemUklE08aNyff16xPh4iNe8kIch1xfk2BR14m0pmGTyZiBooUQQgghTeF1RyyLzcICNE4aKRoxXUIg6Cwsuo+u179SAc47L/ktW1wuuCDZ5rLCzJmTLEU9JkxIPmK4YiFaTBYQUQ+5fmKEMyFWxLbe3iS9cLnSNeo3bEjKWLcuETBr1jSWK5etipg0lpWlS+vzk93abFYdk5CipYWAooUQQgghTWKKMkGkKmJ0c6rI3xtiV+SRtkSwvbwUsSA6tzBdI1o0js8+u/73wABw8snJb1NjXlg+RFmTJwNTpyYfIVzKZeCttxJ3rnXrkqVqTVDnM5F/y6JFiCNZgInP7rtb/oWcePZZvdVI/i0vZShKiAcULYQQQghpCb4jgwnkEcFGG+1igkh1abOwyNjckmxWERXZpUuIFnkpRFNvbyJWurvrY1qE+5RYCsuJPMeJKlZ0oqVV+AylrH5Xg+5t1pas3fhI20HRQgghhJDceL1UarCwCExDIOvmYqkb1lh2BxOWFjWWxeUSJqNrMMtiRRYtRx2VbF+0qD6P++9Plkcf3Vi2sPgIIaLGlegsQKq7l87i0krR8sIL9ccA+AsXOY2vlYVDHo95eAUQQgghpKWobmDqsm4YY9kdTB7OuKenfpSt0Ea9KlhMrk6uxrMoU0W4eg0NNTbudaLFlLdchhrc3go3K5MY0S1d+cji0TSSGBmz8AoghBBCSCHo11hkKqVSzcIiGv6yeFGHCdZZIgD/Rq/a8Jf385nF3SU8hAVFdgOTXb5s6IYLblZj/uWX3aJIJ8bU9QLdsMaycJHXARw9jFC0EEIIIaS1lKEfBllsg87CIosWOeBeFS+AuWHvmrNEbXSLgPqpU80Howv0L5frY1PEMcnbQwSRKS4kb3wtJrqlLS/b5JchZZOOhlcAIYQQQjLjVSk+Rbh4rZGsJboA+80MMS8AALFtiy1q4kVYJ0yja8lB22rj2RSDYdsm8p0wIQmGnzzZXN/rrmtcJ8e/qC5PWVlN5DxXrGjMT/3e1wdstpk+r5dfjqtDjFuYSKcLytflTcYsvAIIIYQQkhumEcJUEeNECAXV0jJ+vDngXueq5StUxG9ZDE2dmggXm6VFhzxPiVpOiHDxabj7xLWImBGTaAnFdGyheZhGE2v2IAOkkPAKIIQQQog3qzWWFN1v3Rwr8ve64HofhGUFqI9t0YkU3+B7G3IshSySenvDh9899NBk+cADfnOZ+OJyDVPjQ+RyKpXaCGAxZcfuJ4sT2zZVuJAxD0ULIYQQQoKwiRX5t2796ASRQoRMnOhXqOySJUSDPEqYzsoiZo6X40cEPkHl5XJtRvre3mSUMjELfQyySJEFhcki5BuvYhs8QLdNZ12KiY2JESy6Mk31k4ULA/HHPBQthBBCCLEirCuqO5ePpcXoBiaPmmXj0EOThqtID/hZV0TDWA2ADwkmF2WKSR3l7U880TgE8YQJQH+/Od+5c5PlkiV2d7C0MS62wHZX0LtPUHwzoaWFjFCgq5IQQgghRcQ2S73rty4AvwuoCZbNN7cX3teXNFrl0bVEo9o2yaIapC/PMG9DFgxqHuPH1zeiVfel9evtokUtQ/c7JG7FJT5MaUzDCuu2p8GVj0mQ6KxBRRJSpCXwCiCEEEKIFZtoMQXay9/F7z7bKGE6jjrKHkxvsrCoYkOgWktU5HUm0aOmS2sFyCKIPQaXcMm7TEIC4ZVDCCGEECsNVhL4CxeTdcYLk+tYaMC9zrVM3iZQY19kAaTbVyZEvLgEU5a4hniOdSPLCl9rCxnzULQQQgghxIopPsXHTawLQJfLwnL44Y2TK9oEgiuWRRYZqoVEjlcBzNYX275qWplnn022zZrVuG3p0mwb4qHCoqiWDgoU4kEBr1xCCCGEFIG1pRKG0ShWROPBZD2pEzW2GJKjjhrJUOP+5RuobhI3qluYzvVLTWcSNK76hAzN22rRYBIueca2xEARQxQoWgghhBCiRRtAr1mq3wHUz1hvQxUNqhBxBa2rAsY2NK4pNkUVK6L+PuJIYJoTJW+yFBZ5CJeY/SlYiAaKFkIIIYQY8RUtdeJENP77+pL1s2cn87GIeU7K5cZ4FZ1Icblk+YgJFzbriqkOoXEty5YVqyGeZxB+HtaZSqVY54+0BIoWQgghhGiRGwnaWBbViiI3/MUM8mLmep0FRGdREUs1xkX9btrfB527mHw8JgGl4ttAz7vBHTMxZJ7ExNq4vpMxT0GubkIIIYS0nEmTIJqJIpZFYBUsqluVcAsTc7HI4sUVg+KyauiERBaNdZNg8Yln0bF0afo6hVLUQPsYyw4FC1Eo4JVNCCGEkFbRBU/BolpORKNftrAIwdLdnXxco37FxLTI313xLHI9dfuYrD4xmBrdeYsK2xDHRUeetJMQhTa7mgkhhBCSN8ahjGVhIiOvl7+Lj7CyyJjEiK2hbdpmEzaugQBiSGPRyErM7L57/W+dZSdvy0sW+fsIlEoFGBpKVw5peyhaCCGEEDKKM7heJwJMsSzyUgTfq1YUU+yKj6VF/q2rn1inplHdztSRwnTlAOlGCHM17tvZQpIFOisLLS5EYgzeFYQQQgjRUi4DpVL9OlUM2FywdPupwkEuS/3uGgnMJWB8t8l1DLXExFoXQoLlswysL5q1xTctBQtRoGghhBBCSEJ3d020qBYLV+NepFFHDQP8rSg2bILFZgVS04Q0mlWrio+VJcSi4tqnVXExhBQQXvWEEEIISejpqbe0+IgBOZ0a0yLvm3Y+FZnYfEwjnplQrQg+VoUYoRFqWalUgCeeqE+vxrgArRnBLC9oeRnzULQQQgghJEFYWkIa92oQvmxpibFuiPRCIKhLXZ1dhLiV6YSKvF+s9UPdL2T4ZJclptWWF5eYi6mffK4pWAgoWgghhBAiKJeBrpFQfF8ri0grz88iUCdxVJEFiShfXp8FWcaf2ERCnoLDJXhcjfqdd67/vWyZu0w1/2YJI5swJGMaihZCCCGEJHR3A729jesEYthZ3WSS8nfdPC4ypskGTeLFp9Gsi58JQVeGaUQvH6uJb9qYUcOysLDEzFofazHRfdelM1naCAFFCyGEEEIErhHCTPOziO+qYPF1wzIFuusa+L4iJgZfS4qvpcOWT2gZOuS8nnjCvw66fHysXGnEkm2OHVWsqN8JAUULIYQQQgTd3TX3MF+3MJFW5xoGxMWP6MRLiFAR6XyOYXCwMV2oO5bv6F+2Y7Xt6xsvE+K2Jra55qPx3U9eFypqbGKF4oWMQNFCCCGEkBo+wwaraeX1ruGRY0bksu3vW1eVoaFaGp1wUcuU8bG0+FpZfMSJr4XDlE4daUyXJvR/yTPORSdcyJiHVwEhhBBCEnRzn+gwDWvsO/Gkiss9rBmB4IODte8uC02I0NClSWPhsJVpS+dTpsvyFVrfkP9MZ1HRDdJAxiy8AgghhBBSwxa3oqbRDY2cNiDeF12DOSSQvVyut7bIyAJGRncufKwsOgHjGqFMt01N4yNeTMLF57tPeT6CMs3gCISM0NXqChBCCCGkIKijgqmN9O7uMMESMqpW2nTNYHCw9rFRqdQ+um26tKZ8skbOM7Rc1zGN4XlV7r//fnzwgx/EjBkzUCqV8MMf/jD3Mp9//nl88pOfxJZbbonNNtsM73znO/Hb3/4293JbBUULIYQQQmrIYkWIFPER29TtYj8TIRYQW6Na1xgWwzDHMjTU+PFBFjA2IaNr6PuuE+tN2ASPqyz1u+7c2+qkbtcJlhAR4yOmCsyGDRvwjne8A//3//7fppT3l7/8BX/913+Nnp4e/PjHP8bSpUvx1a9+FZMnT25K+a2A7mGEEEIISdBZT0K35eUW1oy4FoFJuLhidoRwsbmRxQxCkEdQfIx7mCA2xqWDOeyww3DYYYcZt2/atAn//M//jFtuuQVr1qzBnnvuia985Ss4+OCDo8r7yle+gpkzZ+LGG28cXbf99ttH5dUu0NJCCCGEkBqq9UR8ZIuLQHUh851IMC1peuJNlgUfdFYZncCxWWBMFg3Tb7XeJtJaXHRpTdYW3Xb1vNosNWOQv/u7v8OvfvUr3HbbbXjiiSfw8Y9/HB/4wAfwxz/+MSq/RYsWYb/99sPHP/5xTJs2DXPmzME3v/nNjGtdLChaCCGEENKIy7KiipWsRUqz4jyyyM/lVuaKgdGRh3BJs69NjPi4gY1h8fKnP/0J3/nOd/C9730P73nPe7DjjjvirLPOwrvf/e46S0kIzz77LL7+9a/j7W9/O37605/ic5/7HE477TQsXLgw49oXh7FpwyOEEEJII7Yge3U9oBcqsSN62cjK7UjMx2Ia2jcEXX1U4SKfO9V1THUX83UfS+sq5hpRLA22YYttE4R2uKB55JFHUK1WsfPOO9et37hxI7bccksAwPLlyzF79mxrPqeeeupozMzw8DD2228/XHrppQCAOXPm4Pe//z2+/vWv4/jjj8/hKFoPRQshhBBCamQpWJrJ4GBzy5cb2qZyTUMqh5YTKlxC84zNzyefLARnm8fJDA8Po7u7G7/97W/RrVwPEyZMAAC87W1vwx/+8AdrPltsscXo9+nTp2P33Xev277bbrvhBz/4QUa1Lh7tfRUQQgghJDt0k0SmESu2GJfQOVV069V8bA1kVUDo9o/FFqgurC+ibJ3FJevg/CwD4m1WEJMVRWdFiqmPbLlJK/5ayJw5czA0NISXX34Z73nPe7Rpenp6sOuuu3rn+dd//dd4+umn69YtW7YM2223Xaq6FhmKFkIIIYTUsDUOs3D9ytJCELOfcBGTt/kQUq6unjari0u4pB0dzDc94O8qtvfe9b+XLWss1zUqmW+d2oD169fjmWeeGf393HPP4bHHHsOUKVOw884747jjjsPxxx+Pr371q5gzZw5effVVLF68GHvttRcOP/zw4PLOOOMMHHDAAbj00ktxzDHHYMmSJbjuuutw3XXXZXlYhaJUrVarra4EIYQQQlrH2rVrMWnSJLyx337oFw1L2zDGMTOgqxNO2paudep3ORZHXidPdin28ZlXJhTb+VC3maxYPuc4xiUvpG4mdOJhn33qfz/7bGPepo8rf01g/9q1azFp9my88cYb6O/v96t3E7n33ntxyCGHNKw/4YQTcNNNN2FwcBBf/vKXsXDhQjz//PPYcsstMW/ePHzpS1/CXnvtFVXmnXfeiXPPPRd//OMfMXv2bJx55pn4zGc+k/ZQCgtFCyGEEDLGaRAtsYLFZ1szRYu6DrC7vqXFx00uZI4b33Of9j8RqNYTmUceqf+tihaBEC8mseISLoZJJtf+5S+YtNNOhRUtJH845DEhhBBCEmzzruh+y+uz6NGPweRC5DOzvWs2+5i6uIYqttUrjyGNsxyGOHTuFds8L6HlkjEPY1oIIYQQ0ogtiN61vtn4jNIlYipMaX2Fi491xhW/IddBjbFx5ZPHMMghzJ3rly4kLmeMiZKBgQFs2rQp1zLGjRuHvr6+XMtoNgV52hBCCCGkEMTGVvjmVwTSDEUsixubgAlptMvCJY/RxLLA5A4mUGNaYpFHDOtABgYGsNX48VifcznbbLMNnnvuuY4SLgV8khBCCCGkJbisK0UUIHL8igndsLxZzKGiDl9sKlf3O035tmGgbdaMvP8/n7lrYvD5j9uETZs2YT2AMwD05lTGRgD/sXo1Nm3aRNFCCCGEkA4mK8GSxahjMfg20LMQLoBbvISWn2bSxljhUi4DS5cm35VJC73YYYfGdc8+m+4/7WCry3gAecmJTg1Y79TjIoQQQkgouoB6V5B93vjE1qRhaEj/iUEXF6MGopsa4eq+PsHrpryK0tCP/e/y/s9JW8IrgRBCCCGNdGpjMcQKIwixxtgC61118NnXN69muIM1i045Doku5Gc56FSLRKceFyGEEEJC6e62W1t8JgosGsKC4WPtMBFqhTFZXEx5m9BZW0wWF19LTDOtM77XiY+Frx2uNZIrFC2EEEIIMdOpjcU0jfRY97GY/NIKj5jjXLYsfB+Zl19OPllcOx16/XXl/OlEOvW4CCGEEBJK1paULHrv01hIbHmJ36ETJgpcwsVlbfGNbTGlDbG6pJ3cMQ0h1hLTNdcuVj2SK7wCCCGEEFIMshiyVzessG+siGjM+zaQ044+FhLbkjZ2JTTGZdmyJL1uVDCZ119vXBc6atwYhDEt4XTqcRFCCCEklNDYFZ8e+xhLiUinLsV39bfO6mFzoXLVI8T6YrO4pIltCdnXZF2xWVh05zYPYofKptAhChQthBBCCHGTphEZ0zA2CRb5u/x7aEgfdC/EgG5I4VDRFUNWQfk+9ckqpiUrbK5hRRmWuUUwpiUcylhCCCGEZIuPm5duKaPb5jvZYE+PPZ3seuUzi7vLbczlJmZzT7PlbZq00raPbpv8f6jnUrfMAl+XNd+0ZMzDq4QQQgghCapbTmhvuM4qIjeW1e++osQkatRybPuWy+4YlzSN9rTxLTH5uMSLSbj45CvSilntxW+fwPrQc+gjHDsMxrSEMzauDEIIIYSEowoBkzDwcVlSe/JDrCg+De5YwRFqxYhtVKtCyVaOKlxMFhdXXqHCUbe/KX0oIQMG6I6FjHl4RRBCCCEkwTTcbBqhIq+ziZTQxrBI7xIXsgAwWV2AbEbrSusmJueryyuNePERLqZ1JmL/M9+0HQwtLeFQtBBCCCGkhup2FYJttCqfeBQfS0BWDWlZuAB6QRBjVQh1EzMJClteMeLFVo4ujc96QpoIr0BCCCGENBLiuiUv1e8mTGl0MRNCrMjCRW2Am6wLPiIAqBcvLuHiasTbynGJI1/hYsrLVk8fUWhyKXO5+flC9y8SCa8YQgghhGSHS9z47u9qHFcqQF+fOR8fy46cVrW6uCajzNP6oBMuQJx4iY1rcbma2Y7f17VMl/8Yge5h4YzNK4UQQgghjXR3my0sut54gWptEY1on3lHXPUBksa4bGERn4EBvcXF9N3m+qYKF/X4YtzE5GNQcQXm68r0FS+AfYAB37gWXb10pBFw6n8xRkUMccMrgxBCCCH1hFgpTMiCRTfBoiltFsMGu1zbhEAB6ud0kRvMPtaWtLjKSDtaGeDvOqZb7xIvLktYTN3HSPxMCflZREo55dtqOv+qIIQQQogfajyJybJiY3CwfnZ604z0LitMd3diSenpqX3v6zNbXXQNZjWuRbW6lMtmQaXO5xIT2yIfZ4jFxdX4DxF5puMzxbPYYlnEel0evnX3YYy7jhE9vBoIIYQQEo5OzJiEiRAytrQ+qHmYhJVtPdDYSE9j3cnCMuAjXAB9OS5RZMIWm2JaZ6pD2vgWVx07kBLys4jQ0kIIIYSQzscWx2Kzuoj1wsoiLwFznIsqXkTjXZ5HRY41kRvnIqYlJMhfjYepVMzuYz7WFl/SWlxc5fvED6nz0thGBrPFwKiY9vOpt4sOFi4kjE4dYIAQQgghsWTdSNS5iomPLq1O4Kjf5X3lhrQsQuSlmkb3XeSZNp4nK3T1SFO3kDgjtTxxDk3n11U3nTgcw3Tn/OlEKF0JIYQQkmCLafGxaIhGsWptkdfJ6ULo6WlsaLvq4xrxrFKpDZusi8vQjSYW6jqlYrO46ALzbeUJQkSmXL44nya3OdvShsniotbdt94UPAS0tBBCCCEkBF2shc5aIWOymIj0OquLyY3MJFxsVgmXxUJniXEdU17oynI12HWNep1lJAaXVUV3jkPc9caoIOnK+dOJdOpxEUIIISQGebQtdWlDbmzrBIYa36ITKqZ1sgVHLOW0toazrzgR30NHOZPJqgEeI1zk8k0iLaR+pnNp+sjb1X18y8tKaJGOhO5hhBBCCEnQiZOQQHe5sa0KjBCEm5Rpskc1re9IW3Ia0/wjot5qAHpIQL5P8LjPsenylesay1FH1f9evNiv7JBzyqGPreRpEelUi0SnHhchhBBC0qA2FNW5UASqoDFZJmzztYRYM0yuZj4uVK7fIS5OabcD9uO2Cb2srRAmi5rpnPhaWrKqJ60uBLS0EEIIIURGN9ytwNR4NLlUucSIKkBsloehofogdfm3Gigu19fHOqCzvKhlxczlEmthyCvvo4/Wr+/rswsDmxVFTaNaR0zrQ+kw4UJLSzgULYQQQgipx8clTGdh0Q2pq5urRaQPRbhoya5aqpgJxdSoluuqcxET+8rbs0Y3mpgPqji54w57+rlzk+UDD9TW2QSgKvZcotFH9BDigFcNIYQQQhJcVgl5qX4X+MavdHfXC5c0s9LrMDWUfawvAp21JVRIFM3a4pOn7ruM73DIprqFWk06UOTQ0hJO510FhBBCCGkeWbjt+ATb64RCVrPVmxraOmuLrj55ChOXSDK5fMn4/kcHHJAs778/zIpks7SIPNJYpTrMNYzEQdFCCCGEkDB0rmE2C4tqVZHXZ0GMeLHFZqioFgSdxaUVbk95WnBChILvhJMib5/8VGLcCQsMLS3hULQQQgghpIbvEMcxvd+6We1DGRysiQaT6HEFi5swWVxM+7VSuBxzTD5pAeDQQ4F77km+mwZl0GEaRtrHZUwmND0ZE/BKIIQQQkiCKgJ0Q9uqMQ95zBbvihmRR/OyiRcfQiwuMnL5aQYCKCq6ST6zPE5fMaKLpeoAaGkJh6KFEEIIIWH4Dn0MNFpX0lhbYoce9kE37LFAWHbkhrapLnlbW0KtJrEIdyz5GIVwcQXhmywuMrFuYmTMwquBEEIIIX6okwcKfESIHNdiEy6m3nxdT79JOJgau7GxLqKcsei2pI7wJg9lLQsYFZd4C3ET68BzXRr55JV3J9KpFiRCCCGEZIHOLUyQxjVMJ05C3I+aFZgtjrvDAsGdHHVU8pFR5+KRkcWseq34rjMROjAA6Ug6T7oSQgghJB6fxqe8zdaYF9YVYVlRRxGLiZFwTSYpeuXl3vk0w+zK7k/qKGVA3NwtoRQtbsb2n/sO5JB2NLE2pwtATo6OHWuR6LyrgBBCCCHp0DUkfRqXstuXyQXMNPxxCL6NeJ1wadcGcLNiWVRUa4tg0SL9hJu62KAY9zFCFHi1EEIIIaQR04hhoajWFnldXvhYWUJFTKWiD8i3lR2Sf7sixxWpAfmA2fKiS2eiA93DOHpYOB1+JxFCCCEkiDwbh6pwAdzixWfEsJ6epNErPkC4WEgjLorkutUsVAuMPK+LbmQxsQ0Im9STkBF4NRBCCCEkQQgIdS4W21wtKqIBb4plUd3GQqwuobEdqoDxETRp3MhCrSx5Dd/canQWFxM+k312oHihpSWcTj0uQgghhKQha5ccuYGuCo/Yxnt3d6OVxWRxSRugL9LKde9U0ZE1uklJO3TSSJIfnSddCSGEEBJHpQIMD4c3JHVB965YljQWF5O1JcSyknZ0Mdc+HWgdsDJ/fuO6xYvrf+smn1RdyHRUKh035DQtLeF06nERQgghpBn4WBtM1olQi4uaT09PskxjWbGNMOYzSaWoU1oR1OmYLC22dYRI8K4ihBBCSCMxDUjbvCxZjR5mEza+gsUlXkzoRJNP3scf785b5pZbat+POy5s3yJx6KH69UuWJEtdzEoHx7HI0NISTmdfEYQQQgjxR7iHqet8UIWK/Bswu4qZ5nMRaeT8xW/ZyiLHtABua4mveJGX5XKtbPFdlGvKh/ijcw/TWWLImIZ3GSGEEEL05NFQdAkX11DIPT2NggWwB+Gr313bTIi8ZYuLbt/u7nQWkna2roTiG9fSYdDSEs7YuToIIYQQ4odLrLiGs5XFCGC3uAh0gflivfje15f87uurj2Xp66sXK6KO8lJdb0unrpMFkhpDwxHE4lDnbwmZbJKMSTpVjBFCCCGk2fgE3MtixJZO/a0bMUwVKuo6X8FiQ06jWndUwdLTk1hJxpKlJIa5c5OPGpwv4zMnUBvTlfMnhO233x6lUqnhc+qpp2rT33vvvdr0Tz31VGDJYVDGEkIIISShUgG6HE0euUfcN25FpAX84l4EauyKWE6YUG9h6eur1c0kZEy/bZYXOX5FWHnkdSQ9cuC9ydLSweKlCPzmN7/BkOSO+eSTT+J973sfPv7xj1v3e/rpp9Hf3z/6e6uttsqtjgBFCyGEEEJiEI1Ml6uXaaQwWzyLnI9YysLFVB+f9TbristCo3NBO/poc37EHzWmha5iqVm7dm3d797eXvT29jakU8XGv/3bv2HHHXfEQQcdZM1/2rRpmDx5cup6+kL3MEIIIYToMcWJmLC5hImPCKQXAqS7u2bFkD8ibqWvr/aZMAGYODFZTphQv00XhK/W3fTbNPqYLpZFN2IZyQbZJUy2rnSgpaWU8wcAZs6ciUmTJo1+LrvsMme9Nm3ahJtvvhknnXQSSqWSNe2cOXMwffp0vPe978Uvf/nLkMOPgncbIYQQQsKQR3tSrS0mlzCBbe4WFVnYyELBNFKYz6hhtu02EUJ3sOyZO7f+t5i/RWaMjSqWJStXrqxz39JZWVR++MMfYs2aNTjxxBONaaZPn47rrrsO++67LzZu3Ihvf/vbeO9734t7770XBx54YBZV18KrgBBCCCFuVKHiEi5Ao3gB6mNYTKgjh40f3xjDYhvi2CVU1N+676qVxZYXyYYxFNPSPfLJK28A6O/vrxMtPlx//fU47LDDMGPGDGOaXXbZBbvsssvo73nz5mHlypW44oorKFoIIYQQ0mTkwGjXEMcC1bKim3PFlEaXj83CIuol11ddp/tt2k/+bhNVHBksPw44wLxt8eLm1WOM8uc//xk///nPcccddwTv+653vQs333xzDrWqQdFCCCGEkHpMIsVmbQHqRxUD7MLEhGxlUedh0VlYfOJubOvUIY0FuriVDuvtJ62jhPwCy+2RKGZuvPFGTJs2DUcccUTwvo8++iimT58eWbIfFC2EEEIIMeNyC1MtMkCjeAEaRxizWVhMwiRErPiOJqarjy5+5eST9fsR0gEMDw/jxhtvxAknnICyco+ce+65eP7557Fw4UIAwNe+9jVsv/322GOPPUYD93/wgx/gBz/4Qa51pGghhBBCiB6XW5jJ0qKzTrgC2VXLh82qkiaWRbdeJ1jk7bohmwlJQcwkkCF5h/Lzn/8cK1aswEknndSw7cUXX8SKFStGf2/atAlnnXUWnn/+eYwfPx577LEH7rrrLhx++OEpau2mVK1Wq7mWQAghhJBCs3btWkyaNAlvHHcc+sXkkvJws7qlaZ3utw/qKGCqa5hupLC0YgUwW1jUvE87Lex4SKaMXqNvvBEcXF4kxHH8N4DNcypjA4CPAG1/rlRoaSGEEEJIIz7uYHJaQG9pCSkvxLJiC8ZXufhi++/zz6//feWV4fXPgrvuqsXSHHpoa+pAmkLRLC3tAEULIYQQQvS4Au9lfObTMKWRRUhfX23pEizit+sYbLhcv5oZfC8ECyGkAd4ZhBBCCPFHDbw3BeGb9jV9N7mHmVzBLr1UX8YFF4Qdj44zz0yWzbK4LF5cf95oZel4aGkJh6KFEEIIIWZ0wfa677rftjzV7zYLiy12xbccmSLOsl60+hBSMHiHEEIIIcSOzbpimsXcJ0/TUv5cfnlcndW4FaDeClOEOVfUCRNpYRkz0NISDkULIYQQQhIqFWDcuOS7TpDoXMFig+7F0mZpiSFLMVIEYUMIAUDRQgghhBATNuEifgP+jXudW5hrmSWhVqGzz86+DjpoYRlz0NISDkULIYQQQsy4hjP2sbbYxIrJwpK3pSXN8MyEkKbDO5UQQgghbnTzs4j1IXmIpc2yUi7XJn285JJkKOBQq4cuvWnkMRHroouDEVxySbJU53QhJILSyCevvDsRihZCCCGE+JHGKmEKuFctLEKsiNnpBweTTxYwRoWQtoWihRBCCCEJrokWQ1FFjmk+FtXCIUYMk8WKr6VD7CssLfLoYyZrjXBxU+d4kes1NJQIKlEPIapceROioXvkk1fenQhFCyGEEEL8iXEHk7+rQxr39rrzyUpM2SwtPjEuQrhkBS0/hHhD0UIIIYSQhOuvB/r7geOPb9zmK1Zss96LpXAL6+4GJk5szEO2WtjiTGzY5nc580xzwL8sJITlRU6TRUzLPffof8+fnz5v0hZw9LBwKFoIIYQQEo9OzLgmjgRqsSwTJtjzz3PeFZcQE25jsfPRmMgqRoeQMQRFCyGEEELqWbgwWZ50krmxHitWdLEjPmQhXkQe11xjT6eLh8mSrGOHSNtRQn4WEY4eRgghhJCxxQ03JMuTT65frwuwV7/LQkUdYjgE4R523nmJ6EgjKHyFT15ixYSo1x13JOfsqKOaWz4hbQBFCyGEEEL8sFlX5O9qsH0WVCrprS1FCXz3GRCAdDSMaQmHooUQQgghdq67rvb9lFPcrmFZCxagZv047bTs8mw1psk677gDOPro+vWLFvnlSSsN6VAoWgghhBDiT1+feZsqWLq7G+czSUsaS0RRrBgxlpbQQQRIoaGlJRxe8YQQQgjx58ork6U8LLEYXUu2tuQhWOTyTj651pBXG/SVCnDrrfr9AGDBgmSpSxPKLbfUvvf0AMcc05jm9ttr331GDuvpqd8H0A/NrBMuixbR2kI6EooWQgghhIQzYUKjaBCNaCFYsnYRk8vytUj4bovFV5gNDvqNGtbdXS9sRP5y3cU59ZkQkxQSWlrC4VVOCCGEkHDUYYvPOy9ZNqMB7SNYFixojjuYzrJiSiNGY5NRz9fQUCJcBIOD4RYrEf9CiwvpIChaCCGEEJIeNY5F/p0lOlcwV7qixLK89Vbtu2xBUUdgky0ysuVFtbrIFhdaW9oKWlrC4RVOCCGEkPTIAqVIDWibYFFH6BLccUc+ddG5h/X01IsOVYDIlheb1UUnXGhxIR1EgZ4qhBBCCGlb1MD7vIPxAbeVxRb/0gphtW5d7XyI8lV3sHK50ZJiEi60uLQtJeQ3c31e+bYaXtmEEEIISY/aGM8LNS7k+OOT5cKF5n1US4M654lqcdFZYLKwvmzcqBcpwgJjs7rQ4kLGOBQthBBCCEmPGpeRt5VFLssVs1KUmJb162vz3PT1JedIFRgxwkUVKrrfpFB0j3zyyrsToWghhBBCSHrOPLP+99VX177L1hGdJUZYS2LQjcilohsuWCbGiiKPGibPT6Mu1e+qCDG5dJnWhwgXQjqITh1ggBBCCCGtpBlWFl8GBpJGvPhkgRAhLnc4dRQzXT3E96Eh/eSTano5oF9OT6FCOhhaWgghhBCSH7aZ3NNYWHyZNw948MHs87311vR5XHJJsjQJH1tgvRob47OPsCiZRk0jTYNDHodD0UIIIYSQ7Dn55Np31YWrmRYBn1noW8X55yfLK680p7ENhyyImYCSkDaDooUQQgghnYvO3apoCCHiMxGnGhMj9rPFt5DCQUtLOJ16XIQQQggpOjfc4BdIXwROOin55EF3t12wqJYpk6XKN77ljjv0gw/cdVfyIaSAUIYTQgghpHPJyj0sT5c2H9cu27DGviOKkcJQQn6WA04uSQghhBASg7BQqFaVvCwXMoODwG67Jd//8Ifw/ZsxWIAc/wMA113nt19a4SJbW8plTj5JCg1FCyGEEEKIDWFlabXVQlcPk3BR9wsZmpnkDmNawvG6+4aHh/HCCy9g4sSJKJU61ehE2pmhoSE888wz2GmnndDtE8hISJPhNUqKzOuvvw4AWLFiBSZPnpxnQfW/V63KryzBpk217zvumCzvu89v389/vv53d3dz6vyXv9i3q88QWZB0SU1W2e3MR3A149giWbt2LYDkWUrGJqVqtVp1JVq1ahVmzpzZjPoQQgghhBCiZcmSJfirv/qrVlcjmrVr12LSpEn4HYCJOZWxDsBeAN544w309/fnVErz8bK0TJyYnNaVK1cW7+Affrix90D+bfoueil80vqk9yHE9Kqb+VadPVc3YZdKjNh85RW/YRdN9RMz9w4NJcv165PvAwPAQQeZ81F7vmxpFVatWoU99tijmNcoIWiza3TWrGSp69GUn4Xd3bWeXN0zUqzr6an/DtR6g3t6avvceae+Pscd15i37XmuLmP26e4GzjlHX58OpK2uz1DmzNGvl99zDz9s3v+EE5J32S23ZFuvUG68sXGd6Z4wWVvUdOr6ww+Pr1/OrF27FjNnzsROO+3U6qqQFuHV6hYuYf39/cV4mD3ySO27asa2iQrbC81XvJhehi5iBYv8W13aEI2OGNT/WDXnq+jqJ3/Euu7uxrxlPvjBZLl4cXJ+A641cV0W5holRKGtrtE1a5LlFls0ChfhItzVVfuI3wAwPNwoZOThXNVluVx7nprOi8hP92y2rXOJF3V56aX68scAbXV9hvKnPwE772ze7no3lUrJNfjJTya/Fy3Ktn6+/OM/1v9WBzXQiXIgTLS0wX/fKe61jGkJp3MC8W09avJvX+Fi2+YrWNIIFXV9iHBpdaCgTExgn9yIIYS0lu7uYswo7noGhzzjdUs+c8YuPtd3SKdhO8Lrn7QB7XGVypYVHbGCJSQP1/oYsn74lcvpLCwmpkxxp3nhBb+87rkHmD/fnqZcBvr6/PIjhOSHKxjYh733dqcR7q7z54cJCddz2iVgxOeCC9x1JO3NsmXJcvbs+vU+86OIYYGL5jplGkYaMA9/7OKuu+pdNoHa9wMPjK8raaCE/OZT6dQhs9pDtKiECArbS8/H7zkPC4uvWHG5ickUpZckCyHGXk9COgebm4oOOV7P9F3F1SFlEzEd4mpCPBkYSJYiziqkQS+7PBeRPCaS5LuYFIj8r0Yf3085QFO8YERPu48FJLS3zbTOJ6+0xAgW03cA2GGH9HXKghkz9OufeMI/jyVLav89H5SEdAaPPupOc+ihjetEA8y3Iaaz0MjWFHVbdzdw/vnufElnMTCQtDVefDF83yILFh2x1hYVWlhyoXvkk1fenUh+LcO77kq3v+5F5StYfF0KfH2ks8LngeeKbREURay4EK4hDzzgTjt3br51IYQUF/l5qwoWm4CxWcbVj9xBdvbZ+R0LKRTDpVISmNzTUz9nSwyVStKIHxxMfg8NJR1urUR2E1PvEd1kk2oaW2ctOxBJgWjfqzE0LiUkAN+0Lg2xLmM6K0u79fYA7VlnQkh7oFpUhLVWFiuyJZ8uYWOKCkZGUxocTNfoEe+xwcFiDE5hwmSddFlbdPcFRUtucPSwcLK/Gu+5p9YDkSWxAZnyNpvfsy0vk6iJjU3x3a4OIeyTV1GheZkQYmLx4vrf8mAdOiuLK75FFSzjxzeKFzJmGB75pG7I3X9//W8x/8ucOYmIsblDX3JJ7bssePIaBEK+R3ysLQJ5eHHeJ6Rg5H9F+vZohfhahlhJXELFJVBCb9oshjmWt6nznRBCyFhG59qii4WU4+N6e5N3TF9fTcSQMcOwtByXdea+FpcNG7Iu2Y1oN5TLNeHiE9uiiwEjmUNLSzjZXY2LF9dukJ6eeGtLiBUkxvoSMxqYT74mYsSGySVs993D8yKEkHbjnnuSpRhiNiQoX7awiO89PcDJJ+dbZ1I43iyVRgVLLohBJnbbzZ3W1BY4++zkGs1iYlPbEMihUKyQApLtVZnmIg8VEzGjiGWRny0v0xDFPmnV9bS0EEKIP6YYFiFeyJhj2PA9c3TuVypiqGWZZl2XQuzb6qnGfalxYiRzaGkJJ5urUfXzBPQXekjDu9U3Sp7l+44QRrFCCBnL3H13skw7qV+r3yekJUyoVptTkJi4MpS83u/C4gLorS4uFzHeL6SgZHNl+qpx1w0a4kfpchNot5tOtbCIXhmKFkIIqXcRE/i6jBHSalr9LvextuisLLy3cqOE/CwipZzybTXprkbd3BtZuIjFxJ0028zqk853vcmtrN1HDCOEkCwQFhfB0Uc3puFzkjSb6dOTZcxElS7mzQMefDB9PrLVBQAWLkyfJyEtIl1L3zQyV8yIWybBYnoRuYSN7/CYsfWN2e4SLHL8CmNZCCHEjtyxQ6sLKTKhMa6xs9fHIOJZAFpZmghjWsIJuyIfewyYMEHa2yAcQi90074776xPH+s/midpxUVIED8hhBA/RGPs9tuBzTdPhjueMAGYO7e19SLtTx4Wlrw5/vhkefvtjduKKlKWLk3aROvXt7ompMWEXaE65Z2VcInZJ6vRyvImdO4WnVtYUR8mhBDSCnRWFfFbHjlMIGYxf+stPk9JawjxwhBzDuUN74WWQUtLOOlFi1jv+h7CrFn27SYLjI4VK+Lq0Ax8rSv77JN/XQghpF24447GdWeemSxtri2VSiJkKpVk1MsDD8y3noQIXJ2XCxbUOi11wyM3C11HgPBuCWl7EZID4aoiZAb5oij4vOuhmwzS9NuVTl0W5RwSQkiRKZdrM96rc7XIDA3R/ZYUA9t1yHd/PR0YY0NLSzjxxyVfQLqeraJcXLNmATNmJN9DJ4tMS1rBss8+wN5751M3QgjpJC6/HLjggkSoqBPlyW5iRx0FzJ8PHHpo6+pKiI1yuXHEvDzKEMj3ithWhDbcsmVJPAvJnYsuugilUqnus80221j3ue+++7Dvvvuir68PO+ywA6699trc6xnvHpaXACiXgZdfTr5Pm5Y+P1MZLvIYhcZnuGNCCCHxnH12srzuuuQZLgKPCWkF6pDDgN0jowhiQaDWhW5imVI0S8see+yBn//856O/u03z+QB47rnncPjhh+Mzn/kMbr75ZvzqV7/CKaecgq222gof/ehHI0r3I+7uSDvEcSuIqaOPcDG5hvm4icmWFbqFEUJIdvAZSopAkTsmVSukWFdEimL96WDK5bLTuiK49tprMWvWLHzta18DAOy22254+OGHccUVVxRItAhf4dG9c7iA8hxnP0Zs2XpAfB9GvhaWova2EEJIu6FrkBFSNJo92aNuEAvVxd/V/mimxaWD20LNsLSsXbu2bn1vby96e3u1+/zxj3/EjBkz0Nvbi/333x+XXnopdthhB23aBx98EPPnz69b9/73vx/XX389BgcH0ZPTPENh56uIMSu+mEaSCcF30kebxcVnOyGEEEJIHsixXrpJJcXvIsFOiChmzpyJSZMmjX4uu+wybbr9998fCxcuxE9/+lN885vfxOrVq3HAAQfgtdde06ZfvXo1tt5667p1W2+9NSqVCl599dXMj0OQfvSwPBDWlpdfTpZTpuRfZlp8xIevQGHwPSFkLHPHHUBvb9Kg6uvzG5p40aJah9LgYG397bcn75Gjj86vvoQUlbvuSkbMs+Fq15XL7GDNgWZYWlauXIn+/v7R9SYry2GHHTb6fa+99sK8efOw44474r/+679wphhOXqFUKtX9rlar2vVZEh6I3yyEcMn7RkkbQ2KLXfGNcaFbGCGE1HjrreQD1HqCXaxblyzVBtrgIJ+rpHXo2jDNvB7V+0GUrY6wp37UeorvzRYvRRvRrM3o7++vEy2+bL755thrr73wxz/+Ubt9m222werVq+vWvfzyyyiXy9hyyy2j6upDsa+ALOJbxEhkgD0vV1lpblTfuVt23z2+DEIIaXeEf7/cmTQ0BNxyS9LAOuYY876u3mRCWsGttybLBQtq65rZ8D/qqGS5aFH2eTd7NLEOEy1FGz1MZuPGjfjDH/6A97znPdrt8+bNw49+9KO6dffccw/222+/3OJZgKzOV54KOMub2xWTom73iV8x1TV0jhZCCBnriNnA5ZnBBwaADRuA9evd+4Y+swkZi4jYEJOVxdama6Zw8KkPyYSzzjoL9913H5577jn8+te/xsc+9jGsXbsWJ5xwAgDg3HPPxfHS8PGf+9zn8Oc//xlnnnkm/vCHP+CGG27A9ddfj7POOivXeqa7CnSjceXxsnjhhfoydPO3yGlM6Eb/yuJGiB1FjC9WQghJYliEO5hAjksR3HBD49wrN9zgzr9SqY2aVKkkAmjNmuSzfn3yGRho/khOZOwgLC6ytbAoDfGiiYJnn211DcYcq1atwrHHHotXX30VW221Fd71rnfhoYcewnbbbQcAePHFF7FixYrR9LNnz8bdd9+NM844A1dffTVmzJiBq666KtfhjoE0k0umwdRY9xnhy9eCoctXFzviG9MSIjB0FheOGEYIIXoqlcS9SzwbZcEiu30NDjbGuJhiBsR6dcQhVQzpntGE5EVRrjNXPIuNZgfmF0lQZUiR3MNuu+026/abbrqpYd1BBx2ERx55JLCkdBTrSvC9CSS1F5SvfOGrVpY8bkDXy5CzyhJCSIJOsMgMDSUCZHAQuPrqmng5+WR7vrfcUsvf1Pi57rrw+pKxx9VXA6+9VnNhvPzy8DwGBpLl3Xfrtx91VH3boa8vm3gUWbxnEXMgd/zmFdvSoWKFxNPcK6LVPQyqeMlq9vk0k0wSQshYxyZUbL9DoVWFpOGllxJXwjRxU+vXm693AFi9un57XkHNvqOGCWweMnncT7YRzDqEEvIbHrg0Mvxwp5HtFVCEF4Fah5BZ70PShtZH3Y9WFkIISTjuuGQZYvEQlpdQhPAxzD1ASANXXZXEP8mDRFQqiZWvUmmMq1qwoDaIhJx+YCARJDbxvWZN/e/u7mTuts03Bx58MOsj8xcCtiGPOY8LaRLNka15XsyuvE2uYeo6Na80rmOqUJGXHdZTQAghuaA27HTPZ1/Li+i5FnEztp5uQlRWr9aLEEDfPhADOwiRMjCQXHvr1tWWtrLEHCqyKBduZbHIFhuTZcU3nkWQ1xxzurw6se1ULgN5TcRYrXakkGy/qyD2T9AJBnXdjBn1219+Of2fLj/cymVaWAghxEZPT9LQ6+42ixL52X3VVYnfP5AsXdaXk07Krq5kbGCbCqFSSUYEU7fJVpWhoZqIEd9LJVQAlFU3nrVrzfXYeWdgm22A++/3r/uSJfbhwkMEi25fuY0kRv3aYYfwvAjxIDvRYpr3JMv80uITkO9TB5+6qT6vnDiSENJK7r8/edYdcEBr63HHHfVB90KYxFi0xbNbjCrWgT2LpEVcfTXw/PM164psZQHql/J6kU62sAjBMvKpDAxgGMAmABNC6iQC3ufNA7baCpg8Gdhzz8R1bObM2kSSMjoLTRqhYspLFS+xwkUeaKkTrSsytLQEk80VkcWJaeXJ9XHb6sA/nxAyhhgYKEYjwOaeJXpufawtIi/dOt0cYoSEsGZNoyARmKYwkL9brtth6RPF0FBiPSmXgVdfTe6VyZPt+4TcA0WIUeE9SzTkd1UUeUQtk0gRE1SqN2xsTEvMvoQQkiXycKkxgetpuf12/9HBgEbhomLyozc1EovQACPtw8KFwMqVwMaN7tgVnbVFJ8rlmKqR6zSVaFmyJFnOn18TLxs3JsN7C/Ei5mEx4RIFtu0Mxs+GvC0tHUg+osXXfapZZZqG7zMF5/s8pGx5+9SJEEKaQZGfQ0JEDQ3Vu5moz1VbbIv6u1yupRfzurgacIQI1qwBNmxwC5YQenrqrmEhWFLfmQMDiaWlUknESl+fflQ9EYS/+eb194J6fKEjicn7ivVpzxXvU2Ih/dVhM5v67hObxpeQUbvSxLGkSU8IIVmyaFHc8zkrxKSOPtjEi3ATs9Vd1+mk5s3RG4kP69bpXcJC0M2tIgmJ1O5hAhGQv2BBbf4XMSiFOtdL7GhhoYh7UATlq8TEunTqfUtLSzDNn6fF58VTFFz16dQbiRDS/rT6eRo6KZ4QJzKym5gqSHSuY2KdXHarzwNpL4RbmIp8/YW++8Wodn19wOAgukau09SiRTAwkFiIhJuYGAxAnlsGALbfHpg0CXj725O6TJ2arJctLqHHpgvEz3oCb0JGSHclZWl9KMKLJasBBYpwLISQsYnOwiJzxx3J8uijsy1XtqzEzOIt9pHFiBzf4jsniy6PoSHgtNPC65Q3Z55Z36C7/PLW1WWsc8stwPLltd8mtyfdd3kp9pX/VyHGxfwraedc0SEG2hAjnQnXsbvvrk935pnA9OmNdc4DXd5idLBZs/Irt13o7ga6uvLJezgzSVwo4q/WULeDVgsW3c2ZplzfSZgoYAghzcQ2EEjePZ6qWAkpT9RVzkO4i1Uq9VYYz1GaCk+aSYxJtqxZY7ayCHQN/b6+ZJ1YyulkhoaAiROTzevWZWdlEXWQh2Resyb5rF7dmLZSqQXvT5hQq6/YJv8OQWdxyQJaaYhEc66GrCwY7XLxmnplCCGkWZieOz4WlnvuSRo2OncskxUlxroiY4pHkWNb5LSiTq5hkYvG2Wfr15fLSS+4D1demV19SILvNaRaV9R1QON1LO6NERexLgCZ9q/femuyPProRLysW1cbYUxFtsTkgW+bZ8WK9mnT5UW5TEtLIHFXjK+VJU2Mi8/IXYJmX/ihVpaxfmMSQppHFp0ksh+8IESUxD7zdA0e2UVM51oji5mivCNsyHXxmehYHeGJnWD54GrE20SKWAfo/x9xjY4EyXf19aGch2hYswb4y1+A114zp1m/Pkknvot66a49n/vGFP9DSA6EX1nNECyh+IqDZlhraFkhhNi4+25g3Li4fbOOQ1G5//6kl7aV6OZpkRuEOsuKzySUV11Vc4fp7QXGj09+T5hQa7TtvXf2xyM4++z0ozeJd9iZZ9Lakjc2Ae2DcNVSB4wYEd9dAwPZWlsEQ0PmeZGAZB4aALjkkvr6xbZb2OaJh5aWYMKemCE3ayxZ7JvH3Ck+PWK6fXgzE0JkKpV40ZKGcjlprNuoVJJGT2wvcFadQrJw0SGPKKZ7zpqsEiIQGkiOU7jKiPV5ihZ1yFkRo2OzYIljBOoDrfleyR7TtRsjVGTBIotp8V/39SWixSYuYlm3zu/+Ffd5FgH5ecWzEKKQ/ehhzRA2zWLnnfXrTeOPC3Rm5GXL7HkSQogLMfJX6POzXPaz0rz1VjYdO3mRtnG0cWNt8r2envqe5rQxOSaEhcUmWHw7wWRE/AstLtmgxhP5xheFIK617m6guzt70bJ4sX9aWbBnJYTZURsGLS3BZDd6mGmd774h+/vk32qfSlvvHyGEAPYYhjToJpbzQYyeJGaR9yXP562wqqhzuLhQrS2yWBE0U2iJ76IOqouY7vhUS1I7DTjQ7oS8w9UR+1S3MPn70FDy/+cV1+LLwEAtpiUriwuQvdXFNhoiGXNkE4hvWpc2z2Yhl10uu60heb3o7rknWc6fn0/+hJDW8eMf+6Xzeen79Gged5xfeTIxz+FmNPzl+BZXmXIcjCxcxHwtouHf3V1LK9ZdfHH9PqrwibVqCPGhEyyyWJEFlY9Qq1QSS06lQotLHpjus9iOVznepKcnn5gWX8ScQFddVR+QD9RbBmOh1cXNiMUtFzq0gyN9IL5pne++rSQP8SWjGxrRlZ4Q0vlkca/bxE2sq5PaO5yXy5QP6nNTtriI+VsEPi9oW4+tblseo3UJwSJbV3Rz2+gGIhDr1GMn+aBef7rrIdQKIGJcRhqqLRUtgnXraqOJTZiQncUFYKwLyZz0gfhZXIytuKDTlClmchUzu9pQHwDLltUH6sl1ESPbLFmSrDvggPg6EkKKgYhDyYNWNwaaPRqjKlwEut5KVci4XH1MYiWteJGtLPJ3wOyqpg5EoE6yKQsX8X4R87+IHnSSjksvTZZnnhnX9pGvVSFWhKVl5NocB2B9qYTXAcyqVjOtvjfnn58sb789cRMTk2Rm6WZP8aJHtbRmSamUT74tJvtA/DTpmoXuZZXFzWkavcw0prvJDe2JJ/Kb+IkQ0hwWLdKvz7uhf8wx+eZfNMrlWuPQN+bA97tYXnddeL3OO0/vFpYmrka1LqnCpWjv2k5A53Z3/PG17+p7X/5PVLdGIVhGrtdyTw/6BgfRgrEEGxkcrAXniw5UQgpGtoH4WadRt4U83HVCxKesrMSLTrjI21x14cuHkPYn9j5u1f0vua44KYKLkskiAegnolSfv67vaYSALFjGj0/WyYIl5PyJ/8TVwcb3RnMwuY7J24XFAqhdh4aZ6AvhJrZxYxLbUi7XYlyAbOJbsqAT20W0tASTXSB+yHafdCZzbKhwCSXLES90dfXxF91nn2zqQAhpPnfdVZsDRMb35dSuFuxWonOdEr9VQsTINdeYt118sT5vUR/VqlIuhw9xbIptARpHVRPrzz47aRhfdZW7DBLHDTckS9niIjBdW7KLmLyuKFQqyZDnvb21yVaLIFj4nCMS4TEtoUIjNK2vIGr1jaQjb0FFCGlPfJ8N7fJcKMLzVxUosoVFTMoo93ZXKsn63t6aqFR7y1Vri08dgFpDVA2wV2NY1Hzl767/XjcAgUCsp4tY6zB5hoj1Q0PAunUYliwtFQCbRpYtZ3AwsbZs2JD8FvfHhAn1IiYWdsY0QktLMNm9ebIQLKHlZRmHQgghWaCzsvjQymfRLbc0rmvlyGE21DgBGdVdzIbOLcx32OBLLqlvbKgND3WUMHmdKNNUdx26kdNkkaUOTAAAp52WLGlxyY+FC+t/iwlc1f9SxLEMDNQJlIr0aTmnnposb7klES/iehXCP82oYhQsJCOaE4jvkz7tS75drBy8KQkZe1Qq9mF5s3qWxnbkhIzpXwQri8A0khbQKGBkK4tw1RK9yzHohJEqSnQxLKGB97b/WjfAi7zk+6Y1CCuFsO6NDCv8JoABAMPSpzCiRbBhQ22S2YGBZNnXVxsOOQuriyC0s7vTrmdaWoLJNxA/Jm0svj0AurrsvXdcmbNm+Q17TAgZG9x1V2e9WNWRyPIcvjkL1Ma6biQnuZEghgl2ceWVib+/QDe3ivxdHdI4RrCIeoegCjbSXHT3x7x5iVAesbJsQiJWgESstGyoYxMnn5wshRVJuLOZYlxc13Ta65DXMZEIFy1ZjRoWk7aZeeVJJ/YYEEL8kO//rF0t0j5X8ur1yxrZRUyusxpbApg7tEKOVQ5+V/OXrSqmNLrfpjJc6FzB5HLlsvieaT1DQ8Arr+DNgQGsBfCmtGnYtE8REFYWILme5DlcyuWa5UVs12EaUMnEWLtexdxNxJuws+VyIcjSXaxZxFpZYijC8RJC8iW0l7uIz4WixLOEnhs1MB4w/x/Ch1+HiAPRics8BEuenHJK0uAUI16R5rJkCQBgoFTCmwB2LpplxcTJJyfzE4nOAbHs60uWakxYrKeLbT0hCtk8SfMIstKl7QRFKvu6EkI6G3V0KtO6LBgcLI7YyII050a1RmThLqWLVwHs1hcfQhtyPvFHal074d3Z5rwO4FUAhimli8vGjbU4sKGhZA4XEdciW15cqNdzjNdOSOxdO1CEIaXbjPwD8bMO1s/qD/axsCxdmix3392cZtasZOmKbdEJlUceSdbNneuuCyGk+BxxROO6O+7IbsREF1nP+3D77a15qaY9X7rGzUknmdObRtgyHXtWgsWEevxFms+DRPEm6l3D2gIR33LDDfWdLmoHjM4iaeucocWFRJJ9TEvsRRdqrSmaOrWNt6/evLS0EDK2kHvUijpni9oQB9pTsMSgcyuzxbxkIVZ8G25pBIuok3DpIS1jLYA1ra5ELGIkse7uZAQ+XYyLSGezasZYWzoZWlqCCTtbeQ5ZHLNvM/7schlYtiz5vnOEYVftlRAfznpPyNhAzN2walWyPOoooL/fPhJXM17m8hwTOsHSbLI6ZiE8dLOVy1x9deM6V3B+FoIupJdZFSyyqBrrDb42Q0wieUOphAqAk9sltgWoWVxuuaV+HirdoCI+wiTWS4fX/Jgnfau/lSNB2PJXXyhy2mYpW9V0Ks2ESwghWmKem7G98XIj3TaMb17EviNMxysa9aH56iasNAk408SQNmLekzbBEgobey1nADXh0vb/xuBgvIsYrS0kBXFvpbxcxLIkSzHlY2GZMSNZrliht6yID+NXCCEmWvXsjLWw6Oqrzu1y++1xeZtwCRYX112XLNVjTmNlytLTQHd86rH5DuZg2nbSSUkn2q232utIMuPwEcvK/x2xtLQlqpVFN7S4zgsm70FI2hW6hwUT7h7WSstKOyAC85ctq52vgQGKFUKInaytDiaEW1iaOVla8awfHASOO65xvXBZUZGDh7Mgq8ZFiFgB7IIlhFNOaXyHH3NMclwUL02j7S0tsjhR3cNcMS1yHiHrfbeTjqdY7mGdpDjFxEwMuieEmEgbm5eHW5igKM8t1zFm1ajPE1udfCwrpnzk367zpO7LXt6WMIA2Fy1AoweJWGe7nmhtaSTPySXbKWYqgPizlYfFpVnB9S6ElcQ21LEL3U1NCCEqsc+9WAuLTB6B91m5g5ksKzbyfNaG/k+uuoS6uWV9bCGTApLMOKdDG5Oj6NzGXN8J8aR47mFFeIhmcRzC0pJVfoSQzkIebcf3GZF2vo40LmHNIOb4mvl8TVtWTDyOzyhKpnxdwqTV71rSfohrbXCw3hXM5ibmCr73va86rS2Vp7WzQ8VxdmernS8mMYlkFixenFyEBx6YXZ6EkM7jqKOSpcsykdXEgkUWLL7HuHBhe75rbMeXpWXFJn5sQdInnwy88UZ4eWRsE9OJTWsLSUG2lhZdemPJDt/HZvYA6Xx9s8yPEEJCacYs6IOD2bmIZV1fXQO86D2yPucg1Kri2mazsujW8f1EYqlUGidilSeZBOwjh8V4n3SyyKGlJZh8zpbPhdVqN7BHHkmWujqkqduhh8bXiRBCgDgBYIr/uOWWsLJiRExegkWOwymyYEkrVoBsBYuMOumfKd6gyJY40nxOPrk2PLiMuI5N7q22IY9tdJogIbmQjWrI42JrlqgxlcMbiBDSDJphUQnBV8Q0w7ICxA+P6kte5z+NSPHZbqu3Glfg6pzj+474oFpKenpqYldYDfr6ar9d8Vhj/bqjpSWYsLMlTyyUBb5D5OnI8o/2FUgPPNB4w9GyQgixcfXVyfK115pbrsvC4otoHAvx0iyxkid5CsW8xQoQV3+Xa1gr/gdSPE47LblOdFYWoNFiJ9qFtlHDfH6b1snwGh3ztO/QIbqLO42Q8RVj9AkmhITQKS/arBr6vucjy5EqW2VNAbIRKUD4fDUC+Z0lW1b4LiOhDAzUvot4ONGZIbe/VAuCaqHhyKoJtLQEk69okS/IZrl6ZVnWI4/obyqODEYIaTZyo1SNP5DjWbKysGRFjGhLK1iyEClpxWazxAqgr6sqVkwdfULAMKZlbHH22fW/fQZaOu20+t9XX10/9LGah831PsbSMtZFDsl59DB136yD3m1lAdlbXtgzRQhpJqaGcxGtN1nUKU2jJVaoZHUumylSBCF1N4kYTjI5NtHFNMniw4eNG5OP2FcgYltMLmG0tCR0d+d33w0P55Nvi2nuU8o2JF4ef1xovuoNNHdutvUhhBDBHXcAb71l3l5EYaKjGWLFlSZGsBRJrITWP+trQ35Pnnxy0uBxzR9E2hNhLTFN/njVVf55nXlmshTzJwn3sb6+5LttFDGfGBcZimqCIsW0ZO3apeZLCCGtorsb6OqqX9fKoGhd/qHuQXm7T/mmy8Mykfa9kWWdBaHn26cRqBthrFzu2F5agnysHJVK0gEjD9bR0+OO2QipQxpPn6KSZ0xLh97Dce5hWU2+6DPUMNU1IaSdMYkBU8M1RgwsXOgWHa58xfa0+bhoplgJqWsWDaIsrUFpznPaYymXgQULknxoceks1q83D3UthiuOQb5ey+Xkt3AR82nH5dVxTTqKuKvD9EAMvdh8LuZWXshLliRLuokRQkIRQx2H4NtQPf74+t8LF+pFR0zDNw8rT2iPqovYkbRiy4vdN2th5SL2WORAfGFpYeOxs5g/PxERcu9+VoMlma474S7W3e0/ae1Y6rimpSWYbM9WjE+iryhp9khkhBCShp6e+jlOXC9ttfEa2wAtQixMTN2bKQDSxtDYyFJQ6cjbRUaIlk5zxRnrrFlTEw+iDSXH1I0fD0yenK4Ml8urEMa+AkbOk+0+gqIE4ru26dLmeQGrN94DDyRLoYr32Se/sgkhnUPIy1mmHRuMeQgVoPluYHmIlSIIlZjA50qFbmKdgvAcEcydC6xbB/zhD/XrFywApk4FJkwANt88ETPqkNinntqYv9wuMw3BLYSL7l6JfVa2M7S0BNMa6WqzmvhaVLIWLnn2vBFCxja6eTBMDdl2e86E1jeroX+LbFXJYtLJrIg5fg6D3PmsXAls2KDfFnNt6q4VEZAvd0rLFhc1LWAWL50YiE+CCQ/ED9me1mrSrIdm1v7WhJCxyw032DtfvvOdpPdSh+n5ctJJjWWY8m8WrbKsZD0CWNYjfbnq18x3iKksnzqYgrVJZ/Dii+H7CJdXOV4vNFbF9bxyiZdOgpaWYMLPVhYNfJN1JXTyySxHMovdTgghKupzyfZyymJ43WYLlzysK1mIlSzeT1kOR5yVcMoSzo9BQpEtI6qYkIfKNqVV0/gwlsQL8aa17mG+k0zmJVxiBcv99ydlHnBAXLmEEAKYG5AnnxyeT7Mal3lYpttVsKQRK63oEHMFShOS1XPEJFhC54PqZPHS3Z3fc7tD7+cudxKJSiW5gGI/uvx060zrbfUKxZWfrW6VSm0oP0IIkRFWFfkD1E8uKT9L5E+7E3o8pneDjI+7la9IMKW11WNoyPzxzb/V/3XMexWI6yEn7U1fX21oZHmkMRuyIBEjJZbLtXx6e5NtJsFiuqdkBgc74xlZUC677DL81V/9FSZOnIhp06bhwx/+MJ5++mnrPvfeey9KpVLD56mnnsqtns19EomgLJmiBful8QHOiRUrkuWsWS2rAiHEh1tuqb2YTQGnxx4L9PfXx6XIDWZdj+J119mfk620suQx2lbW2OqYxahfad4bebpnZdHZJ4LySWeyYEG9OFXncrHhk8ZmWdHdX76T3HYCeca0BFpa7rvvPpx66qn4q7/6K1QqFZx//vmYP38+li5dis0339y679NPP43+/v7R31tttVVUlX1ovlrQmfp0wsV3nc82XdpY+PAmhJiwuTDoOmzE81B+Uesa0WkFS3d39jOsp3kWFl2wxAbT5+EWlvU7JzSmBShWxyLJFlWoiO8CcX2IZ5PLTcsnjc+zqEPdm4rKT37yk7rfN954I6ZNm4bf/va3OPDAA637Tps2DZPTzvHjSdiTyGW+M2Ea3i5GuNjwGZ1C94BWY1OWLKml06WfP9+/ThkgLCwvvJBUhxYXQgrGokW155V4Zojn2zHHJMtVq4BTTqnto4tbueqq5Hl53XXJ7zRiRX3uxgqXrBvNWQsWlyUg1FJgO0dpLBet7vBqdfmkeVx9tX4uFSB5Hsmuq7JgkS0uLkuHb9tMtjj7TKBry7fThEwTLC1r166tW93b24ve3l7n7m+88QYAYMqUKc60c+bMwcDAAHbffXf88z//Mw455JCICvvRnO4TX3Ofj0jxTZOGCRNqPsDr16fLK2PY4UVIARH+2kND+bvTmB4CWbpTZB1DKHC5wekEjanBI5PVOQ8VLM0UMTEdeCFpKGo6B9e90teXfFcFi1hvutZ8LCiqtVjMzSITct+w0ZOKmTNn1v2+8MILcdFFF1n3qVarOPPMM/Hud78be+65pzHd9OnTcd1112HffffFxo0b8e1vfxvvfe97ce+99zqtM7FkdzX4XGiqj7ePGTELC4wN3Qhgu++eTd4Oli2rP4wddrCnnzEjWb7wQu07IaSFLF6cPI/E/AWCchk46qjw/LLq3YwlT2uBj4VFPY8yLktRnmIxS8ESW8esji0kHzYY2wNhmQXM98+CBYkomTDBLFrE80cOwBfr1dHA1O9A/f4Ctb0mX38+lhZX+namCZaWlStX1sWb+FhZPv/5z+OJJ57A//7v/1rT7bLLLthll11Gf8+bNw8rV67EFVdcURDREjLqiZxO/lNcwiUkvkXNu81o46oTQgRyY9nHKpCmHB0+FpY0Ex66nvlqI0l+ntuEiqnTyiVcBLpjMk2ImGaiRF/BkrWIyfIFEVJ+pQKMG5dd2aR5iPtG939PnlwTKerSNhxx6NDFto5oHwFiajuSKPr7++tEi4svfOELWLRoEe6//35su+22weW9613vws033xy8ny/FvCJCrCtFG31MYenSZGnrnBA8+2yy9LG4vPBC7TshpMncf78+7i1GrMizSwP6Hk0bJvfbtHObhIoV13pbWl+h40us1cUn7idEsGTpPpb15KS+LmQFfr+OeWQLC1AT/OUycOWVtcE+hoaAbbapWUxUS4sJeZv6fLGJE5u1RPfb1IHR6S6Mec7TEniuqtUqvvCFL+C///u/ce+992L27NlRxT766KOYPn161L4+5GdpUc2Btj/Gdyhkm3BRyywIMVXyES+yq5huPSEkBQ88oF9vev6JhoF4Rupu/O9/P1l++9vA+PHZv4DTDs/r2p7niF8xeWfhLmaz6vgSKliK6h6WdX1J6xAxdsIVSO0IMa0H4tp4rjQ6C4t639kstiR3Tj31VNx66634n//5H0ycOBGrV68GAEyaNAnjx48HAJx77rl4/vnnsXDhQgDA1772NWy//fbYY489sGnTJtx88834wQ9+gB/84Ae51TO/Vr7Oj1H81s1fYBIugP6GahPxUoSpFQghgeh6uU097EKwDAzUvofk6fty9u31zsoFCmju0MQhxLrfNWvOkSysMVm9IGKC8kl7IF/POqul6vplcvUy5ZkWkzuYz3NFl6aoz6NY8oxpCcz361//OgDg4IMPrlt/44034sQTTwQAvPjii1ghJg4EsGnTJpx11ll4/vnnMX78eOyxxx646667cPjhh6equo2wo3LNXhyijH2FCxAe01IAn0gxPLHu/hdVMg1dLK4Jn0klaVkhJAfU54vOTUGsE4JlYKC2XveclBva4sEQ2kDIojHhk0eRGwdZWZSaSR7uY2kp0vkh2SMH14/0lBsD52XECIg60loJ1eeKei+PhQklC0q1WnWmuemmm+p+n3322Tj77LNzqpGesBb98LB9u6r0bdYWQO+LbTIRmkSKy7rSIgFju/dCqkFrDCEt4K23kqXNfUK1sIjlxo36l7s8aktI77erYyYrXA2KotMMi0LeLlp5Q6HSWUyenDyrdEJDDrQXv1V093iaa8TXYmt6trieOa42aLtRIEtLuxB+VLqLymYx8XFp0FlddHmJ/IC4YZCb4D62dm2Yx4cOtXoibmVgAFizBthnn/i8ZcSQy67Af0LGFHfckSzFjdjTow8clRkaqhcsAwON+X7sY8AZZ4TXJzYgPhaXe1tRXobt0gDPoxHoS7Pc4Ui+rF2bzBk3MFC/FB0h8jNHtIXkNpUrMN5Gmuun3TtCSOEID8TXIV+I4kYxCRfTi0+Xh0Dnq2mLdxG4rC85vHyFcNYdcgi6gYD6+oCpU9PXUSDm0CSESJisLLpnjWgsDAzUAvGFm5gJdUCTWNGRZwOgmW5LaRpUafdrhRtcSLxLHmWZtonrqVIBurqS70URqGMd3f8orChiUA+feDpX50uWhE7U6gMbLGOe8CeSy93KZDVxuYqpeQD+wfotECcqmzZlV5Tu9MnrdJNLPvtsfdm2OJjXX689q/hOImSEW25xv2h1ga+iwSDHsuQRN+Ib4K8jNoDflXcWD5Bmx/QAcY0137JNwcemPEKPKW3gPht+7Yno7LC1weTR8EzPC/nab7blg9dePXQPCyadpcVk2RDCxSfGRd1XxmTBkfO01UPdnuOfOK48rPy2px9Gl3GbaTTUwUGzF12HXp+ENA95yGJBuZy4fOkQ6YRl5a23au5htpfz4CBQKunz8iHmxR8S+yfjGnilGY2QZlhDYnz70wqQmPyzTO+bJ18urWf9+sQ3XFh1gXoXVFWoqJYVeUh2ge/1kuf/X4RrnLQV2Vpa5AecanE55pj6tMJvXM3XZn1RA/ZNgSOt8L0OvJm6ymVgGHhzoKvhvWDSXCFTCjz7rDn+ZcqUZClGOFuxAnj11exiZQhpGgceWOutKpeBu++ubTvppPq0N9xgz0sWG75DcspCRzQYLr3Uvp8IJo3puZfL9sE0jLwN37yzGkkytvw0hE4g6WMxcZHm/yZjEzmWRba0yFZd+Vo2iRWxzuUe5jPBY7Otq50MLS3BhA95LIbOA/QXs0646F5CJmFhu0F0wkVgu9lM8TRZ3jhr1oSlH6nDZn19yb+g+M0Po6vuGRMqXELjXzr0+iadjpj9WYccW+J7gcvBrIDbyqIKF59niq6H1IWP25ptP9+hRLNyF8my3LTPad8BWny2mdKGipxYK00adz1fy46IaZHfk3xBtIY1a5IeRSFcdMOq60SL/N3lLuaDzbNFJWTwh9AOiiIPxU6aQviTyCUUALvFReXoo2vfVeuLjpB4l2YSanYVCls0YBTR0tXXh3I5cSHbbLPG3V96qdESLGctL32qzHcSaUsefFC/XrXs+tyTwjJz5ZX2fXSuGD6i5aqravvLz68s5h1xxTnENFiyiGfJslxbfdI01n33iamXbntegsU3jS+qWDnlFOCaa7LLn7iRxYr4qK5eNuuJev+5rCam9lpI+ypLa26n092dX+OrQ+e8SXe2VAEj92rK33UvLt+gelNPqWlySrk+pjzycB+TLS0uNaD6gskmQqmOXeUyyn0axTJCd3dteHbdqQu5ZidM8E9LSFvga/nQ7efTi6n7bStP5DU0pLfgpG2UZvk8y7I3NU1ZMS5VebuvZGVtcZUTky4UOd9QlzmSP6++CqxbB2zYkAiYSqXRGizj+x/Z2kI24QKEdw7bBEpop0anzdNCggl7ug8Pm4cmtg1xXC4DCxc27hfjNuZzc6n1MZHFQ/iJJ/T5ZhEg8uab6MIwoAnaF25isnARuMTKihWN62hpIR3F7bcDRx2VfBfPoKOOSvwmb7/dvq8uaFXko1sCNeuMDVm06EjbQDe56+ZBHvnGWjIEebj9+uTn03j0dTOLKT8UV36qUOfLoTU88UQiUDZsqLmFye5hAh+rRSu8ULIUK50KY1qCSXdUqoCRlbjJ6iLvZ2td28SLKlxMeelGL9PlmYb16xvXZdkDWakA48ZpN8vCxbSdkDGLzvKhm/RRRZ7R3iZcQu9zkX5goH5SOFd6nzx1z7R2aXCmFSty+laOdBQjXppJjFDSvb9Jc1izBnjlleR5JI9MaLO0AHqXixAriavX09QhTJFCmkB2TyHZ6uE7seTQUDI3goxptBvXHC8hgZ/y/osXN24/9ND63/ff31gHwQEHuMtLg3T8cnC+7/vj9deTpRgxbCQrbWftCy8kp2/rrdNXm5CWI8eLhdw0NlcvVbRcd51/feR9u7vjGsE6dBaVvKwOeZFWvJmON4+5S7IQL1mVlUUeJoGuS3fyyck5ZWxL/qxbVy9Y3nrLHMviah8BZsESI0azGEBE0EqrY6uhpSWYsKNSX+S2OBNVuMjp5ZtKFRtp41JssS62/GwceKA7TR4o57oLw6PB+aHZiAklxem2HfZLL+knA5e/d6nVeP31pKBp04LrR0hm7LwzsPnmyQXc11dbH+IqJbthZNk4EzPQDg3pLT7t+kLOwg0trWjREVqvPIRFlgImlFhRXKk0djq2i9Wuk9i4sRaIPzhotgDrrGHi/xJtIbnto8bUymQVvJ3naIBkTJPuKaRr+KvCBdCLFx+XMZPYiLW6+AT/F+mG0tSrq1xGudxV9x6JqXLsoD6ivAaPNb7QSFEYGqr5TpomtrUhAl6zRnYPGzcumzLyjFtxlSvIwgUqa9GS9rwU4RjSkNaKp76rW3WdjWXUYY7ljg7Vg0V9tsm/fQVLFqSN1xtr0NISTDZHpd40OuuJz/DIun11+/sIF5GXr3ABgPnz9XUsAtKLo2vkWF1WF917B6gP4JfRdbKoHW3scCOFRlzc4gOEX7QDA+6JKH244ILaLNaiHmKZdhQcm/tXXg3MrDp3bD38Ifvp6pOHW1zWAkZsb9WDNOT8m14AdBPLn3XrGudmkVGvIdkVAmh8obsESxorS1ZixZSejQ4yQnZXgush7HIXk38DYcLHVr6vcCkycmNHenG4xItq0BK7i+++E1Xq3lu0tJBCont5hvZmZdXgXb26XrC8+WbyfePGfJ8/eTWIs8o3VrTIaUKFmWmgAh/ystjYRFgz0TWGS6Xku06wsNe8Obz2Ws3qq7qD6Zby9+7ucAuLb1xwFkNjx4qZTrv2OE9LMOExLSHoZrCPsZjo9s/yxVxUC0u5XG8S1r04RmJdAGBYMzSyeopUq7L8d4RouU2bavl0VTbpZ8AkpBWE+j6efHJ9w0Aenj0UdVJLGfnFKxqFOnyeayYLi217LHm6z2ZtddF1gPnkF5ouj3xMdW8lJsEi6njKKcl3MXEqiWfhwuT8rl+fzM8inkni43IHi7WwqKQZ6SutWyIhDvJ/OqYVLra5WFRCrC3thnyzGx5gXY4H0rhyYpWR3z+uZ4jrGScEEyGFYHAwCcCXR5yQX+hycL5AN2x5LGpe8g0kJpQcGKhvGNh6FopAnvVJY3URZN373+y8TAIrzTn3PSe+aUz5Fe1abWdWrkzmZBHCBTC7SsjPNFWwmCwseUCRkg7GtAQTflTNeEj5llGpNPZs3nFHmHApqpUFSKwXOguGGMdYJ/hUFD+uLjTGpvi+I3XWaEIKxYsvJsu9927cJi5cmzXEl8MPb1zn+wJXTZy6G9CWl+kGzLqBYKuP70MgpE6x9bedvzzqmXV+LutQlg9cX5Eiu4eJdbbze/LJ9XmEDAU+1rn88lrsiuwOpgoWXYeLzcKiI4v2Wx7uX4B55FhCJPJvfmZh4TANpWzC9bBv9xvC5dfteCipQyeHdFTKwmXUyqINciGkAIiXel9f/Qte5yMdGvfiY6aU06gzjdvSFgFbA8fV+EnjHhWK+p+mpRmWFluMTbMsb2rddG5BrneNXDf2ZsUhYt/kZ4rOquKysAB+bZtWCnSBK5h2rAgYWlqC6cyj8qHIFhYX06YBa9fWfut6wWwxJl1do9Ev48bVpo9w0aH3AOlEnngCmDcv+a6+7E3YGoeHH64XOjbRE9LYDOlVj+ioCHa38qlX2sZP1iIjRAjkWR+fvFx1LtrD1hVTIdYLjj8+SZPFKHydyuWXA6tWJefNNcs90BibEmJhyZI094nvpJSEGMjuyah7iLU6jqSID/+MGJ7QnwTAqw+7yOMN2W3UylK0nmFCZMaP1/dQAo0uGK5nhegJBfQv3p6exnvQlN/QUGMgflprQTvei1nV2XbusrDC5HluTW53uo6oUEtgmnrY0sgBkbIFpkPftbmxerV5dDD5o1qJs7oOTO6IsVCQhENLSzDZHFWIYMnC1Ce7iN1+u70eHSpcurqQmElUt6y1a4OPN86zq6u2I13DSBExCRYZk9VEcMwxyVwrlYrfSzn2WRNrCcmiDJ9YimbEtMQSIlaaZXGJiUkS+xX9faWKl6zd8zqdq68G/vQnc/yKjOm36RoJGQI0D7euPGi3KSpIroQ/HX0eqCGCRZdf2peya/9O7xHgy4MQYMIEfSyL+hHrdX77r74KvPVW8t00G6tt4lzd7yzcqrLsbTU1+m0ix/cYmv0scomVIliyfIVUrLUlrZWlUrEPyQ3UXwPtILSKxEsv1Sadlac0ABrjVXSdLjHtG1ejv+htok4VLrS0BJP+qNQT0yyXMNtFPJbN1f39ra4BIcVACBYZuaGlumWI74ceWu8KlmbeAhuqS0hM0HbWdXCtz7LsPMharDQD9X1lix9xCQTbceYlvHTXrlh3zDHJfZhm7qNOwxR0LzBZh03XhM+kkGlESV7PP6D1IQSk7ci2VR/qEpbWyiJuxE5U4ISQdKhDhOoEiylORbyoXb2WtjkRXJYWOW9boyLvXsZY60Rs47kZpKm7SmgnWFZlFrHTzSROQvYZ66xf32hlEf+3yz1MTS+jExdpZ7dXy/SpWwgm6/VYobs7v/u8Q89lvk9F24s29I+yTRAZKl4ocgjpfFQXlkqlvpdTFQ/qC9QmJHTPIl3jTM5DLq9a9TsGn7qEoj7/fKwt6jbd9iyJzdsnKD82/yzc+nR1kbeHuH+lPR65LrHCwyZ028HKFcsFF9T/vvhi/31VKwvg/7/7WkMFMVaSNK6faRvgnTAROMmV7ESLeqFlKVgErgtaFS+6l0BPTzF7sAgh2WKLY5FFjIosEOSXvjrbtAmT1WZ4uLbM0+VCRX1m2qxHNqFShMZnTHyOa1sIWb07bEJRJw6zcBGMPQcmi2FW+bcjIog+BrXjxORx4vrPfe5NnwFITPik8e3ICLlvxpJwYUxLMOmOynRSYgVLzEk+7jj79jvuSJZHHRWeNykuCxcmD8iTTmp1TUhRkS0rwh1DiJS33kpejnID/tFHa9/33lufp+qqZbKA6Kw2Iu3gYE3A5Imop00gyZP26vYtYiPUNeS0TJre/lChkGYAGZflJW93MZ/GbYg1RhUwRx9dexcXlSuvrH3XWWHl54h6Lk45pdYA7eurfc4+u7Ec1dIrW1vE/+xznfkIhLQxTqEWS9d11KENadI8mnsFZeUDGaLCjz46fZmkmBSxQUWKg2xNkRsbg4M18RJr8TA9h+T8fAVNlsh18hlFSLUk2fZ15ZUloe5wWYgun17jtHE8PjEKPt+zIHYUONc+vo3vVnPVVbVnhOoiqgoK1bXUhLzN1E5Rz6UqQtQy5POp7i+n0eXvQ9r0IS5rvuJlrFhbaGkJJpujki+uZsSLjJULmpjJM4CNdAbr19eCXoVlRYgVVxycqREsoxMfJtcwU3rTfmMVl6CLGc41LTE9yyZsjTpf4RJTbgy6xmxo73yR41rEsMOAXqQIdGJCdx2I/0lniZFRJ5SU0w4M1M6ZsNrIAjDr/z3N/6L7b30FTMx1zGckQRrR0uoGoxAut9yS/BYvLqFc6Q7WXB54ANhmG2CHHZpTnnALvOGGZPn6680pl7QHCxbUrCtvvQVs2NA4fPGyZfX77LabPU/xzFEFj02oCJrlHuYSW7bRekKtK3nH5fg2UnTH7KqbrtNLzkc+zpA4n7xGJVMbrK0QL/Kx2v4b3bnzqefFFydzK515ZngdY7CJB5No0W2XEf9TX58+Xk6kse2vLl2WK9t6Xd6udS5sAtr0f9tcIHXpgbHROU1LSzDxR2W6CNMMz+kyLZpQBQtpPgMDwKpVzRMtgt7e5OHG/53IvPoqsG5dIlZ0k7iZXoamRr14rslzIriC+NV8hVAJbeyncdVyzeEQOvKiyZ0sLT7nxHQedMIsTd1kYaorx6cH2YUp+N5mVdG9c33iGkLrJqcNFSw+203o7tM8Wb++9j2tcJGtIyZrjLyf678Q21XLi7xU04Zci3lZvnwEjbpebPMRLrS2jHmyaen5viRCzJuxPUm0sLSGQw9tTbnC4rJqFXDGGcCNNybXjHAF0gVCks7l+ONrLmEbNiTCRQTcy88pVzyKvC4mdsVXmGT1Ena5TZnqYwrE1+Gy2mRFmngW3eADLquKvJ+8r2nUNZMVJtTKYhMucn4x7mF5xTX4WBVNw4HPn1//e/Hi+jSXXupXh6xwCRTTd1+LC5AE6F9zjV997rmn/vcxx9S+2+KDYl3wQtP7Xp+xFsE83N+KDudpCSb8bJkuUPnlbuu9C33Im9KLsuQhjMfaBU8a2WyzxPpSqTROLkg6n1dfTZZr1gCrVze6hIlhi00NbpOLkLoNCJvXBahv9Pg0zGMEja/7lo9YCRUpoS/JENHjW0+dyHRZ/3WWFd01ojtnNjcyE76WFHm7Lq0tbxc+DW8btv/Otq1IsS0x4kQX3yIjvD1s7lxineu6VF3ETDEkNtewLM93TEey7VpX05jKcFmLyZgirJU/OFgfGOaTHjDfmLG9VKS43H578r+7hqLOi/HjgVJJ34Nx2mnJ8qqrml8v0hzuvrv2vb8/uRbfeqs+zbRpyXL2bL88YwLoTVYbsezqsu/vU7aKya1JxjUMcogrRl6Wl1hLi3pspmMx1VuX3mWBseVrwvb+dL1bXQ1Hn4ZlqGCRG9kxiMa56mI2b15yTpcsqU9//PGJpfT22+PKCyHGwiIEi0mQCIEh2ko65Pg2V/soJJbFJlbSChhT3rrRzUJdHH3dxToNxrQEE35U8gNI7QHy6ZkS2GZlrquhpoqqlUWkYc96MWjmxHkqkyYllhZAf90VqaeP5Mu6dfoGQXd3Y6+d7tkVMgeLD7KfuhAtrjxCRYuLLKwlPvO/5IGPC5wqKNT/3xav4roGTMcd42Lna0WxuQXFYmrQivUiRtBUrs/1b7NmulwrmxXbogoPX9Eiz/UEmF3kTBNZhz4vfLdnca24BLUoJ2Rf9RrXdVb7xMAMDbW2bUEKQZwUU4ULYDfrAfZZmWMC99V9GMtSDGQ/3FZw0EFJD7sOYWE57bT6eTt0vWY2k3u53JxeQJKKYQBdoQ0qgc7NSOzj49dvyhNIrq1SyZ1Hs4NOXeclpHEu5xlD6MhhJiuLjxVGl84nL1M6V31VlzKfQHtXkHXsgACumAyB6f+wrXe5Kpr2Fc/W+fOTZ/T99+vTxXLKKY2iKMTKIpam54FAPEPmzdNvA8JigZvV4eYTO2Oy8ug6s0MsLza3sU60HNDSEkzYUQmlK3qgVJOvzYxpC9hzjdSii2UR+arrCHExeXIS+2DyPbYJFtJWDAPoUleKZ5crTkJtlNgaKT7CRYweNjBQL1qyEiw+dbA9K2OD9W3CxDbEcmg9XPvo8jbFoZjeRz5B/aYgft/zr4qfGDcglZh4Ax/Ucn0mT/Xd7jpfAwP5CHfbUMfqb10Mi5jzScTLyc8Hcb0JUSTfG+r16SPoQ4RKVqIm76B5m+VFLl93PLS0jHnCRYtYuh6+Mib17LLE+NzUbEwWEzHbcLPG3A/h4ovrf8vWIVvPo/wwPeaYZE4BMU8MaQ3z5gHPPw+sWNGwaVSwlEqJ62hPT7KUn10+rj4m8SLwbVjJQx4L0aLZN3YGF61VScZmSQlxm5L3AcLcorIKvjflbRuiWs3XZTEJjWvxeV/ZBqzxtarosMUb+OYlWwLzeq/q/n8xP9If/lC/XoiCOXOARx/Nrg6+1nWdqJEtLKpgkZfqdSi2xXawZhWPElOWy0piWurSyOt0ebrKp3v3mCfsyaS7aHS9Uzbzoq8lRrXm2G66vGdEJuFUKo0B0EVH18NmMlFXKskIVaS1vPaa8X+QG/9dLrcgoLGBbrKw+Iw8ZmG4Uhmtm06ghIoWYUky7TdqadLUz7jNZ+hgn1hFQYg7TBa9qWqnmu44XP+XbbQwV1C+CZ2QMomXEEzvyJBYUd99TaSZa0e374YN9n1iEVYQl3VdXi/aPoOD9RYWl+VJbscAYcIlywZ6SF6+QfE+FkCby5hcls27oZOFCt3Dggk/KlU520zntmB7lx+j7uYW6cT6SgU4+ujgQyBNQFhYLrgg+Z+aPQZ/CMKH+qijzL1tpgfo0UczxqWZzJlTazCIuCRN0O6mUknvGgb4+ef7iBf4CQyRpiL9Nr2GYwRLrGXGmm9oQ9HXhSxGkIQE4OssLKa4FhU5j+eeq98mrAG+MTI2C54r/iYGXWeh7whiunXyd5dYd+HrTrnzzo0eFt3dSVqxTf1fYjH12sc0kEP/N5PVSMx15mps5tmIt8WquLa7lmpa9Vh84rY6WcAQL8ItLWIOjIacyn4PYVtvkmk0smZNakayp5kzHKfF9NK29QzRZN1cXnutdk0Jn3fNc0YWCHXCJaQ3WBEpaawjwwBEyRVHXiGI/bXizCONSdgZY4FMZblcpNK4xtjKU9H1bMvrZULeK3L9de8ln4EddPUwjVpmy0/nOq07v74u1gL5mSaec74B+D5xWb5pTOcqq3eJyT3Mlh6oWVbUeBabNVIQ8l/41CvknRNiEbV5tZjEh+/SVm+bIOlk9zBaWoKJdw+zmftswZe2nrhOuyBJ+z1oTL1vuoeuzueZZMNuuyXuIToXDNnSghERMGJZER+B+N01OKhvuDpcvVRxoeZtwiZsKjBbWkJxuYbJ6fKwyDTUxdbrHNqI9sFkYRHY3NxCesiXLTNv23vvxnU+eZviiHwsEyb3NNVKEXKMcuO8WjWX7bqHQrbbtvneq6EsWpQshWUDMPf4i++LF9vznDUrWaoDFelimEyoZcj1k5H/Jxn5mggR0TI+gyvFCBZTp99Ydw8jwaRzDwPcvoqAfeQwgS4uxqa+XXEupBhUKsW3thx+uL8A0ZmwKxXgwAOT31kPzxnJtaUSxiG5wctIGpRdSBrLC+QGSSsQQ4A++GD9euECoogSbUzJ4OCoIKmg3uVKthLUiRjPUbpMQiWtpUWuX1oB4StWfPLR5RGyPqQuwW5nJmyWFLmx6BoNTEZ+J02fXr+PZqCHUWzHZHKfNllYdPWLOWc+w3qriIEihofzGdHO5X6prteVv8UWSZq1a8ProkMVAHKjXbQ/XIJF7O8bz2UaeEBl8WKzsNLlbxN8MejOhWo5sWGztIS6h8lhA52EbhLsLPPuQOJGD/MRLDblLOdlKkcXiK+6oGUdoEeypx0sLapgcfUsqfup1oACMAHAOCQNSvkmt7kRNY01a/Qv+HXr6oWKzpd+RKwANbGifiAthVDrQtJgtjWwdVaUPCwtaUVLiNXEdLwxoicLa42PO5ut/FFMLlZqL7fANjqawDQYjC8useEKyA6xULhiamLqu2lTrZzhYXNaX3Gla0ybBrXwOc8haX2oVBqf3brrKBSdYAbs8b62OrrKUs9lyLvI5/pRO5F93cRM9VffoyGuY0VvS5DcibO0AOHWFnlfZ60UFzOb69jVVwNbbdX6SQ2JHiFaFixIlkUKWNdZWGzuYboepkqldq0ODNRcRcRLoKcHWLIk+7ob+FaphM2QCJY+1CwschPkjpHhdo9ulsVFuE4ITL3WclC9pidWbfS7BIu6DzTrTet0AsNXsLjyDxUtagPfOUqYJa1NrMj7D2vW69bZ6qPDe6QzDabytWLAN2DeFuci7yMsL3IacR2LHvOdd67PM21Hhq8FIm3e6rqBgWRocBO+rkdqOQaLqVee6n5ZIKzic+fqRXCoaNXFUukQ+c6eXUvf3a23vIg8fS34wooTgsmtUncMppHFfNzBfF3DTO3GTvSsYUxLMOExLV1N6KtVG4c2U3+5nEwWRYpJkUf8kK1AJj9h1/4iEHxoqNbgbqEFsB+JWCkjES4CtaHc1H/Ed5K4kRgWkzjQiRZYvgOSlUX66PK2lWXaZvptoiotvVypHPn7ihlXXq5tOuGTdXyMj+XHKqpsbleC0DlnTA1QUx6yG6yuge1yD1NxxQfJdXTh43ImnoEbN9rFnKlX3iZWdJYVk9XFxEi6CmJ6Wx356qwtgL8FS/UOEfmayhMMDNTmj9KxYUOYFU3kB9THtthiiW2DZKjbbQLDFjrgi81Lpx28NkjuhIuWceNq3wG9OdBXQbvK8qXd5gMZS1xzTbI85pjkPz3mmOJYW+SHoKlXUw30la9Lk/m/BTE8t5VKo0JFxLKMQ33wN1Br+HUB+GGphPUAPpm3xcVXzA0O1okpkziwWVamSseyeiQ4X5eXrgwfsWTLK2tcrlQxFheXNUYnhFziKKQby1QPWx189q2bb8bUkLc19E2B7Wp6j2u4Lj9det8efFcjPsQS4BP8Lp5tQ0P1gfgyIWLLx7Iix7A5UO/7zEgzceUWWzReTz4DKci8+GL9b2GxA+wDQOgQ5chDQ8+ebU5vO+86V0vTNBYhFhXTb9M6eX2nQUtLMOGiZWBAfzJsF6ucpq50Qz7ydlNecmAWY1vahyIF5QtLCaDvJfR5QeuGwNTFZeTMZqi5g6luYcLaAGmd+G1xAskOydKiawQLNsFt4TC5g6mWJShpZIuLmkb33VaHWHzdw9K4g6npQwWHyy3MVJ6vcHHF2Li2ydvVfRomyjQFu9tiW0zpfVyS1q1rzENXF1kY2QSRj4uRK/hbl7fJIiLiWNavB0ZcSOt67dV9bXPTmISKIlJCOwTE80y911uK6X8wnWd1m8q6dfHvDt371fbOtVnqfGJ6dJYR1VPG9TsENdaKjDnirhzfWBZfX0VXOaT9kSdwbDVi9CrA/mJxuWDoeguFiJHX58iiUgldqFlY5MB7WaDILj3q99wZCfAdHZZ4pM66BosthkS1GsmjcW1j6BnWCRFd2bb0ru8mYs+t73/jk84lKHwsMD7HEerC5mPRCd2nIQ9do8sV2+Kau0V+Rowf79fLruZvGkzGd9QwVYz5xGD4NKBFg3BoqCZaQrGJFem7ybXThpxujWRFBYAprRoRUXadkv9X03Pf530gXI19RMv06XGDGYh6yvvohmoW203uY64hjcU6m5XFZnGxre8EaGkJJuyoNm5MHmwuU6BJrLhGFDOl0aUT6/L800n2FOG/so1qo2JrCJh6EKXvIb3QMfQhsbLIlgYxYpauYaBaWpr5b+hcv2zWE5uoET2uYqlDFig6a5NaF3Vf228f1H2q0npfwSFIky5tWSHH7uv2ZbKW6PII2aehvNDeal0jVEWNSQjNH/AXGK46yr9VkWbr3dc9+4RoGRioiRZRjhoroa7TxbBIz1nf+9uGmofcadFyfIPw5fQmhKXFh4GBxveZKqRN16juenHFuIj/Vd7uavuZQglUTNvk9Tl3ApLiE+4eZhvJK3QoO1dZ6m/TxV6EhjDxR1hbxCRfzWDePLP7gg35AW3ruW0yd5dK6EMiWuT5WIBGa4KJZg9/PG6kN3RA6sXViRaXBaZiSK/DdC58RYmPoAHSWVV8LRlp/69mlOUSPyFWmzTixVUXa6C5p8UjtLHsLaJcadSecJsbq6+bmPw75H1te6ZaxIqPYDHdo7o8ViiWoVmtnosqhPHjzdtKpXqx6BNkPziotwL64jNghW60Mdt1YxsuWXwH3BaWTrO0cJ6WYOJiWgD3Rab7ba2JxuLiI1RoaWkv0gjZNGh6/5zYJrCT89S5h0kv7DzEwQTU5mIpo9Ywly0QPjRbuAD1dZOtJbaeWF0Pq7o0lSX+A93wz2p9bHW1oaYLDU5vpnCBRz5prCu2stRjsNXHVgeTKDfl5/x/LM+DNNeHK+4maujowcGaAPKddd0iXlThUIE0cIecnyjX0HNvsojC8V1eqnmZ8rbt21Rs8VEufDq8TO6HPu+ykIEcdK5tskiSLSw6F0v5mlDrLOcjt9tcsS26NgLjl8c84aJF9GiY5qyIDbiqVIBbb61fZ5t7ReR9ww1++ZNicPvtwNFHJ98PPzxZ3n139uXMnVv/O1SwiHSuHlg5EF/BZQWI4ecj87AIK4scw9IubDbSC7pexLhoPjB897Ww6PBxP8kKX3GQNVlZM0LLlAmOPdHkYcrLN33sdhs++5hEmShbPe++ljyZunxCG3EasWIrV5fG9N/plr5ixUe8+O4DAMsUy0sXgJ3ysL74jFw6bZp/fvL/GRJfBY1lMbaBr7pI2ubsMe0P6F0Y09JplhbGtAQTHtOi3jimWBNXGsB9AZp8MTv0zxgz9PUl/22e464PDDSasn0C430CdNVYFs3vvHr/JiCZi0VnYQHqrQoyrp7pViA3amSria9wAez11zV4upSlbR8XzRYHvjQ0XjzTmogJkFf3NTXWXXE2IcdiKtu0PQ2+112Mi5tP2TpLUcyACfJvOeYq5KnsI0RCtunSudb51rEluEags8VMWgZ6sJ0HH+Er59Vls7iIeoh1upgmE93dtXQmKw5gj2ex/SZjjrDWvxju2DWuts7iEoNpP1647Y2wqAlLS5bMmVObS0ig8bWuQ7Wm6HqEdC8WRyC/eCG/OWJRmBDZ0/e/0hwsYrZ7IVgEaoB9l/Kx9ZAuKpUa4kQqSIYgPilH33BTT6yvUHG9mIVf+wolhsYn3seH0AZ1FvhaUuT0OrLIw7bdV6yE/A+hAsur4ZayPBfy8foKFVu5pvMWc02b0oeKAl/ria940W131cunnk+NjFrYBWAK6q3V65E88wZgHokwGleMVE+Pn3DJKLZKt8/oc0UWv7p3obzOJ/ZFRg3iF9/F8fm06zqt7UdLSzDhlpZKRX9Bqoo7ixMmW1pM87WQ9iVmxlwXlQowPKwfyUUWL+okcj7CRd4uf7dYb9QGdwyqYBFDG4v85SVQL1LkD6T1Kuo6VRTlgSqSVIFiEjBA2Pk0vqAD8Rl9qxniJY11xJWH7whjnYDunskanViLsQ64RF7sNW3K0yVcbKIhVLS4rC0+9bHVTX32qc9DuZNmkyPvKEyuybahkdX9FULFriuN/M4YRmJ5GbXGiPehbDEB/Ebc1LmK6cSLmsaUP0cPG/OEKYDBwaRBqPO7VC+8GH9Kef4MGXVscdIZpBk9bPbs+utCns25q6v++tONFGZ6UNpQXzxyLIsjkDcL0aKzsMjoxIo6Z0sZwLuVnsS7Ryw5OqGQNy7Liqt3FnA31rYfOd5nRywuIQ1HV6+4K35DXm8rM2vREyts0jR85HybKXBCXax8jzvNMfhYlnzjenTbXGIoL/HsI1bk7zYxYrsnbCLFdX2ZOmW6UP8MlV1r5cFLlo9YxnfIyuJiiHmswzZUtQbdObCdF5dlqk6wKOu6hAu0POiDabJUUX+T25g6TLbPEOBALV2niZYCWlquueYa/Pu//ztefPFF7LHHHvja176G97znPcb09913H84880z8/ve/x4wZM3D22Wfjc5/7XGytnYS7h8mmQcAuVnxG0YiZEImMTWbPTpa6XquNG5Pl0qVAf3/9PjEPOp+hkFXBIj2EdQ3vV0dehtMCX4ZCfKizvpsa0bJwwch+NgtFGbV5TGKtGTH4ChZbA0j8fnjE9WMfy7ndQREvLkyNAF0jWV2XZa931vg0oGV8G0IiH1/hk5W1K1SoxJxjH6GmS2+L4UnzX7vEUFbXka+1w0ew2PKy3ds6fAWf/AwUokUWLmoMnYzcySGewTNChYw8nLHOgq+zWrjaTZaR53T/fch/qLPI14kXgW7EOl29TdMEuKwsJjpNtBSM7373uzj99NNxzTXX4K//+q/xjW98A4cddhiWLl2KWbNmNaR/7rnncPjhh+Mzn/kMbr75ZvzqV7/CKaecgq222gof/ehHc6ljmGix9VTbrC82Yobro3AhMrZrxSeORWy3vSxsk6cpS1OvbawjnM6lwXc/33SysDHFwGSNSZzA87dMaIyG61ymafiZekHl8ptpibDhe0351jfkuHQNeRsx/0lM7EwMLkuIWOe6btMIMFu8SyxqLI6tcexDzP/nczzqui5pKZ5vsqVFPI83Sd99RXwQOiuL3H7x6djVzYkiIcSE6b9RxYdJJLr+39Hnpjrktg7TRKdquzFUtAwX5cmZEQWztFx55ZX4+7//e3z6058GAHzta1/DT3/6U3z961/HZZdd1pD+2muvxaxZs/C1r30NALDbbrvh4YcfxhVXXFEQ0SLiBWRcSlpHyCgaOisLx+ruTObMqX/I28TIihX1vydN0qcLuVYco7U0CCCdC5pj6OMY4SILFjVf2281D5MQ8V0ns3jEsnFwRi4UqrUFym+TYJkbUb6vJUDF1ig0Nezk/LISBmmwNUx8G9BZ1jPE1SfU2uGzT1a4LC1iXYxIUTGJPdd63TZbuhCBEiNifC11pjqbhIr8WxYt8geozUej3pu2Rv8LUjB/F4CpruePMpJkF9AYgA7YG//d3c6hlUV9KpJ1SNRZTuO6p3X/u2kJwDzkts7dy+YC5uo0HK1oh4mWJrB27dq63729vejt7W1It2nTJvz2t7/FOeecU7d+/vz5eOCBB7R5P/jgg5g/f37duve///24/vrrMTg4iJ7YCU4thLuHdXX5iRRXY1HXIHWMxkQ6HOEnK0ZT0ZnSxfYQbCJaF5Qvb1PXq6JKCbJ0WQ/S4JOn7aVkazh3KcvYhn0Iap1MYkW3PS1pe4lNjVGbIJCFq0u8ZtlbruarcwHRlWnLI025Put9twNh16ycPktclpZQl7yQMkNESsh/Z2rAQvM9Bh+xr9tHt1S3i+/qR1hVxP0nB96r582Vl0/jSbXglNWhqeUZ7nW/A9tBPh0Rchp1qXuu2d4ZdWXZvGaEYDGFFcjr1PV1B9BZomUYXRjO5YmE0XxnzpxZt/7CCy/ERRdd1JD+1VdfxdDQELbeeuu69VtvvTVWr16tLWP16tXa9JVKBa+++iqmT5+e4gj0xNmldK42oSLDZlUJ6R0X8QuKmiRtyJIl6fOYNatxyGMgTLiYxIr4rbtOHXOzyA3w5SO9dbM8rQR5iSCBtgfNo05AMtnlMID5GQ4TqjsudZ3JwvLwSE/jfpb6hPZ4h/bgmwSL3EBwXSu6dVm82kIsG7b6+GxT83M17EP3862DK780mP4TkyB0rYvBdm1kdd0AcdYUnzx0zx/dfvJ3nWixpdFZPXUdIiYRZBItb4rh6A3Pm3K1igHNACDa/0QVLC++qM3TRle12pC3sL6Uq1Vrg2+NZ6yf6V1Rd62pcS669qEazC/vo0vPsIAoVq5ciX4pzldnZZEpKddBtVptWOdKr1ufFeExLVk0Tkzjlusag2patXFJVzGiYjI124IH1YlMdSOFid/KNl2vVazFQ4dcM/nFoOsx09XDJHoEMY2arPu7TOcwxtISUjc1rY9gAuJccMSTSmdpCT2fof+Zr7uIb76h/4VNDLmEUj79kNnkbzt/umOwiRcXLouUKV2W59JHYPjsYxL2pvqFihYZXYeBSazohI5OsMh5bUL9ACkq8r0uYmvKg4OJZUJutIt30NAQhj0nC/VBlO9q7InBWExWLBlfS5vR+gKY38e2OJcOs7TkOb+2yLe/v79OtJiYOnUquru7G6wqL7/8coM1RbDNNtto05fLZWy55ZZxFXfgJVqGRi6iVRs3ol/XGFTPuq1H2/Tb1EhUkS/aoaHaA6hUwhCA3pUr9fuRjmblpsTQv2JwEJPL5WQ0Md11qIpu3RPDEGA/em0OD2uD7sX3KmovtIrmI7aNW7XK69hWA+gBMH5kqbtpRZ5V1F5SQ6h/SYvtPxyxjoi6ynVXXwmrDHV8Rfn97ZH7728s998rM2dC9L2IcyTOh9ygrwIN87bIdbXVS/RN/rBUwn6GuugM3Vn0ILvWi7o9D8D9CkkI7Y336dvS5ZW3MPApJ3RbaJ1d5ybLc6CW5XN9+OCbPqY8cbesAiBHCJqEvWmpPlN060ydEa4OAp240KUD6v8DuXxduapAKUm/S9A35sX+FQDrLc/yDUo5XUie44DUqFfaNRUAZc/3g4u3RsrsdeT3+ki9VHEmMF07Ptd6gwVGvJvFcau/xXf5Hb5xI9aObB8ytQ9JNOPGjcO+++6Ln/3sZ/jIRz4yuv5nP/sZPvShD2n3mTdvHn70ox/Vrbvnnnuw33775RLPAgCoerBkyZIqkvueH3744Ycffvjhhx9+WvJZsmSJT9O1sLzxxhtVANUXX3yjumFDNZfPiy8mZbzxxhve9brtttuqPT091euvv766dOnS6umnn17dfPPNq8uXL69Wq9XqOeecU/3Upz41mv7ZZ5+tbrbZZtUzzjijunTp0ur1119f7enpqX7/+9/P/JwJvCwtO+20EwBg5eabo1/1Uwv1M9TFC8jrKxUvdxCXC8yUN94Iqxdpa1a97W3YY/16rOzvb7xGbdjiV0asML49grprsoLE4qFaWqoAdgq4Rh+eNGl0uE7hYtCNejcLcSTC0mK6N6qGuur2eZ+hjj+bNKmu57GMxBI0DsBmyrE9P2lSw6SYsmvFMOqtQqpFqirt91eG+jys1AcA3uk4v8smTfJyD8uKlwB8GMDPAWyeYzkx1gzbPmk8k2PK0/rIR+blmybGyuLaR3feYi1NMelC074AYF8AywBMtKTztbxUld+2tDH3XcixmfIXecgTTsqWFZ3VQeQlnl1vIXlebUTt+bVnG7c/1irPa5f7psB0r3pf8/IQvYZhoddWq5i5YcNom5Rky9/+7d/itddew8UXX4wXX3wRe+65J+6++25st912AIAXX3wRK6SRW2fPno27774bZ5xxBq6++mrMmDEDV111VW7DHQNAqVp1B6msXbsWkyZNwhsTJoQ1CHU4RmfyNRvrHnpyoyd0Aj/S3qyaMAEzN2xwX6Oqj61HfAo031XUdCb3MHnbzgHX6AOl0qhoGYfkYa/6UVeUpU2MuD6irkca6njnSACqECzjkLg8CdEiDzIgDxMq13XYYykfAwC8yxKA3yBaHOd3qXSdhDSaYoXNSwDmA/gVgAmRecQQ26jPQyTEuHn5uqnE5BWyb55l5CFYQvd5HsDOSNwYbe6LvqLFtc72PWvUvE3xKmXNOlOjXTzTB5AImPUjv9+E+TnVDrw+8myXz4XA15VP3S/onlEHJJBYW61i0saNeOONN7ziNIqKaFOvXJnfcaxduxYzZ05q+3OlEhaIPzgI2BqEtrHGVTwFi6knxtRIFOtXj/jtB89gS9qLLbZwD58tYxgEIua60xHyEl42ci+p4uWZkWtXXn/AyPdHRra5GkbDhu8y6ov1XinWxaf+unJFGauU+QJkfPNVBYuOJZJYkXEJllDybFBlXY56Ply9zGoa1WfflF/ecTChAidvwdIqsZLmPGf9H/lcn7rnj+uZpHumZXnP5WFpk/dTG+kPlEqoADiwDdsfU0bqvHZEvAD1/5nrnRjSyWDFNd8fGZNkOxVnyOz2UlqT1cS0Td1P/U7GEDoRohthRHO9yd9jLSw6TNYLmS7NOsFAQJmmfHxFjQ5TnWXESDO68lSLh9oIdtXJR6xkhamcvHt9m9mrbEuXpuc+VLz4ipDQBn7WliSfPGP3bYWbWla4riubMJGvNfW6M12HJlGdJbLYMJ1Hn04iNa8K6ueAaUc2wSwkfZ9hqa/NDhcuzRg9rNOIFy2xozd4Nh51hJidyRhCFipDQzVroONak7+7LCw+2ES3DvEyXzZi4bCJHB/UXk21saDW05aP4PsjdTtG6TH8sPL7fukYYvC979Pmlee+zSa2rrrGYEzD30cIpBEqeTT+Y4RPqwRMaLq8cXV22NKYrCvybxlX730IoSLe15ruelYPA/jJiMVlGMBRyjPz5pH31CcLao2ZWq1ijeQG7NPmGga08TC2d1BRrm/SHoTP0xISL6DBZFpUbwRXY5IWF2JEcfkyfbddS7GWDp3wcFlZfCwzav1EPmp+LsGiy0fOT7efT4eN8O8ua/bX/fY5PjWNrh66nl1fTM8idV0WL9UYQZfXs0x3Dfn0dpvWhf4OWWdbn2Z7luXH7pvWJakVhNxnNnHi6kxJe4whedmeIbpnaUjnkkije3Z1GdYXCWFt0Z0X3TkQx6S1YInwAdscNKb51YCOtLgMDeVnEenUUaHTuYdZREpIz6mv6IgRLC9IfvoVANsXtFeDBNLfbxx9DnALER8xrP529QimbWT6NAjkAElXPjZ3jTKAx6ReQPlFo+sdWzhyH51ouH8OHVm/VImLURsuMrYODPX7uw3lCqEkl9WFJPZHsI/HPR/7TArpLVfdSFz/dYwQg2OfLs133f/ts039rvsdsi7tNtv2WKtQaB1888xSeNjyCrl+1OvTd3/1OnWJFXWdWB9yTnzunZD0ujS6zhZ5qQ4WYhMxXaifH2sYtef4raUSNsH8bG0lrgGNXh95zopjF9dOQ8NSFiOx83dkNbk5aWviRYsiWHwaJbZtrgZliGAx9Zx0AVg+8uDYIeOL/zEpaE0dAWkT2jMgr21QuhRiRYqroWp74crfddetQNcQNb30H9EEs+uEhUmYqL2DpoabWD/Xco3epIgRE6b72mRp0b305TwOcNw3Qsw8pDlX4pgfkVwcXHUOFQmhjS2ZrIWL7/9ja8DrGq5ZCxbb+pA0acVDqJiK2T9tGWnJ4nhinmFqfq5np089XR1IunS2urj2caUXH1m86MrV3TPq8y/b4OLmMUV5PouRIo3nU7WWdKo5wBPGtIQTfq84xErMza/7ber51u0X2tDI46Uhhp81NWBJxni4IgpCGtsxDXPTeh9riEC4VZWl9aaeb11PqI91Ra2nqWGaBvESl3vb1GN1iRY1TSw+xxYiWpvZ2FTLTXMuZKGiu450ViA1rVof22/fbT7bXel816exwMTsF2vFaSXyLPAyNkFiExI+IsPn2nYJG5/nrloX32e4LY2po0WUIepR1mzX5dEJiMEHTEMmN+By+RrjooY0EiZaJOnmI1ZCBEysCPFJq2vI+Vhclivm3J2UtMukXoW0D0Liyfjx9b8DHmomQdyM/0e1eLh66HWCQ9fIDCnXVBcgu54+8QL2vS9MnzzmObCdc59rIaRXOGt0/6NMyPNXJ1h04kVeqt9t60xlhhAqhPIUKTHCKEvREvN88j0m2zXi09C33d++1hPXPWkTQ6ZyXCLLJZZ8tqmdLCq260HNo1M6xYX7/Wql7dQOor0V0NISTnBbJa1YceWh+561iAnBdrOpJ8/0MKNoyQlZsET2yNjEcojlRPeC79L8tgkn20tQ1xNuq6sPaXvwdfj2HKoTYJomk4wpX+BznnTnO+R/jyHNMboam6b0sjjtgn0SPZdQ8dkWUreQND5iIEaEZGlNsp4/j7nMYq8/azq13JHyXKLD534KEYguMeHCR+SoZbs6bELFi8tKIu4v1zNd3aeTGADqJkPG4GB4LAutLERDdAdr3laFGDHkQveAftYQN6BL/6xhIjsT8r73jATbiRl05XiXTzPeJR0RrmIugeK6/nxftqpg8WlQmdL5ukf45K9DxNDoAtdFkOhNI2lsQaM6a4uurllYWR5wTGIp12FvJd/HUk6mGUqW+fsITl1jWv2UNdtsecSS1tISa8UIFTCmctLkU9dY07nDDA0laSQhAfhdL9p6+TQOpfJsefpYZFzI16rJ4qB7RujKttXHtM2Vj2/nje+zwvTcy7MDoGionVCjx9fh866Q/AkSLa4egyJbFNQHp67n2+eBaMpTl1Z9+KsNBXnkIxKIZy9MjLUuJF8Tuh492zWos8KkKT92P5/jGmfZPoBGq5DuZa8OVpGVlcV0T+rWqdZzW09tbKOi1c9Ek4VlHPRWFt/8sqyba1uIkPBpFLvK0T2/XRgtKqKBZrOwdHc3CBc5T6flRc07Mk5AvW+tZVrQ/Qe2/0V9PtjuPdv/6fqvffB5dtie0+o7XjzjfIVRpzAA4E00WnQBuIcwNr3bAzon2wW6h4WT2j3MtT5LsrjxbXmkaZzYylIbq+pNfMNIjy8tLg7Gjau94AUeo9iFkmePuEu4pK1PFnV/eMR6sZ/mejzecY2K0b6elKwYNkEmixXb6GUmTMIPlvXq/rZ8Q+rgyjMvfISm2mmiew7l2dsbI4pihYtvubpOJWiWQahiRV4n1ts6XDQWEF0HiDFv23aRr1IHH/HnQ8z9ons/Ao3PSBh+28q3iT3XMzjmHg55Dsnf53fge78CjHqWjJ4L1UUsxOrSgYKFxJFZR3+IoPB5EJlu8Ji8bPvFPqR0DzvdS09tLKjzYYh1Y6kXJjMi5wlqNbqXtAnXNerjshCzPu35U/MYVtaLj2240Jgy1d82QaiW69ND7Fu2K60tfVrxIO9vsrB4jeyTsuy0220iIqTepv/R9LwGoLeM2BpOOvGgEzDyb9m6oq7TlFd3DKa8Q6wuqngZHgaGhtBVLqNLzHOUgStPF1ArZ2RiQdv7PitsIkYnmsTSJjCgSS9fP/IokCJ/+ZNGFLUT65EcYx9qI4lpY1t8PCY6WLBwcslwMvVOyqKnOKSsUFGje9hkYVLWWVKg/NYJGRJBm92JaXrs1O/NKj8rdL2OqngB4iwspvIEusbBEmnCSXmbGkOjphNp096zvv9FmrJMDX21AyVt/lmnd1lSfISLbw+8bp1TsIj1ugZUiGCR89C5hclCwlWezZqjwyaWAKBUqvV+i3sgdiJAB10aC7nN+hLTMdlQpvLb1hYIFS66ctTjUcvt5LnbNiE5xk2of+az3UPSEixaYh4YugaEuk5n+bCJCl1a3Xe1rCyEleklqDYQXD0s8jbezPnj8x/n0eOfNc0QIllZWtT7WGdpScuwslRRe1B98vN5ZoTULXY/n+eVrQEuvjfDJcxHHPjsaxNeun1058rUkNStGz0fJqEhd5TYGvE2waKbEdwUz6IKlzRl6Y7FdJzDw8CmTUBfXyJaQgWLnJ/auSQLJul318hvIWJcQsJGyLVsKseVXnyX6yTWy/OxiHjVirQ+pLx2500kcS39SKwtfZDut5iRxEbotPPGmJZwoiwttpeDaz+XW4RNxJjW+wgdUzo1P7ksUx3V+tqWQP3DS3YPk38TC+M0od8pJpd0NXLzph3K7QJwf6mUujdQZ2UB8nULE+tczwjbfdeMXkFdvW2dM6HorCt5dJCYxESafW156PbxESmmcjI5H74iwoZJuPiWZRIrqkgCrG5oKJeBrq50rmGR+6oWGIFPR4LtOrQ9Z3Sdm7q8XZ2g8nb13T/WOLJaxaJSCRVg9CM6TgDEDYGM7J9dpP1I7R7m23OppvcVFqYybQ8W3cNH93DR9QSHYmoA6Y5T12iQRxIj2eLzonKly6IsVzqTqArJFzA33kI6CuRy0zwcdIJEWFbUZRpMwsfVuaGuM+Vt6tTQ7RdyDZjS2iwoPtiESlbCxdVgzFq0+AoZm6XNtM5qYRG4gudtI4TZGmameBZZuIj1av16etzixSeWRl4vumb7+hLRossjFvUYdL8ly1MXUBf/YnpOyfhcJ+q7X6R3daD4PAOERUW2rqjP8lZ3mDUTYW0RUzzIHbTi/wWQmwtiO0BLSzi5iBZTr5dNvKjrfF98rpdV6MMhxOpiKlP9LpuNRZ5ywN7HOti3NRUxLgqwCwObQEiTf+x+aeujXuNpBLgt37TIeenmgckiX9Nz491KeWJulwM86uGy2Kh1yAPfZ5Kpce4rVGJFUsz+tl5xtfHp24PuU76xvq7GuU1AAGFuWqq7mWpdUC0gujx9BYtuUknTscrB910B/6brGW0rU8YgDoX1xdZZ6VsXH0uOa5urfSKLF/n3WGMYSUyLPIqYS3gS4iJItPj20KlpbObXEHFiysv2Qjc1FOXeG7VHVdcT6+qt1qGbFVetg23OizGPx+zRgLuXzBdXHmnK8BEstu15vPR8rDBpMF3zWaIrI6t66xoqacRK2g4UG3IDP9TCkrVYCa2z+ttHrMjrQkRc3XqfuVTURq5ttC6buNDl4Yr7sMWz6OrusrS4ECK+XK7tm4WlxWdwAV16jSVK+5+63ONG9pXXdw0MoAt+wsKnA0duS6gWFd36Du0Er0MMezwwshSjiAHKs83lKmZyY+wAaGkJJ52lxbNRaRIcMr5CxiZexG9TXqYeaVWwqHmENlRMpuwu1FtY5N4YIhFgYfFp+KtWFp3VJU/B4kurRYpKyMz0gv8tleomLhTk5RZx6EgdF4/0Eh8q1fl/NaOAqfVpFqbynD3Hkdg6mGKtI679Yzq0fPLIwkLUkMZ38kfdPCe69D4NZxM2y4otvUu82PKWY1pUurvDxEqMe48qXmSBogoWk+BxCUYXQ0MoDw56Pftj7hO101J8dh0jnhWyaNHFMGbRwUTGHmGipVyumZBteIwzrz4oQi9em1hxCRWdYDGhS6/mq6uT7nh0AfmZjjk9xrBZL3QPSN3SlI/PNl98rCx516FZhPwnWXKopiGguoWForOuZEnIubDVQWdlgWFdjGBJI35819vcw2Iw7msbntiFLp2PdUXnoiWn01lWTC5j8n4+cS26/U3uWnI9YiwsMfvYhoA2jawm72sqXyfW1LxGMLmMjW6Hn0VaJ1BMlpaxQAWJYBmHmouYOpraKD6B+T09iTWwg0wItLSEk2+b2fSwRuALyfIwdwkQl7gxWVvkdboGrskFTrdNrY8QKxw5LAJpaEwTrl5tH8HSypdL3hYXHaFWGBOme6VIL2tfq5rOHSxPESPKdNXLNx+Xu1VsPXzdtmL2DSnXC5vQ8J2I0eTGpSvDp8dfbTjr3MV8GuQ28aKrpyhD9z4VDUKxX1YB+La6yNt059g0n4yK7ZhNc9MMDNQtuwYGRneR3cZ0uN79NnewDm1HahGeJJukpbDCi+0A20AkjHjRYnuImEZayWKUCE0erp6SPLBZimxWGLUxwRu2xnCplJwPh9uhzkphEx8mEeBjAUlLkRrrJkyi4qFSafT8+VotDh5J97Bhgsasz8fPR8r5mya7XOQhXNK6aoVsD11v2u4rWHzWmcRV8HkJmUtFXufax1aWy7qi288VL2MqS04bIljk9TrrTqylJASXALEJGNs+oXUR+UlLda4YX1RLi1gnC5ex6FHxuZFn8g9Hhj4W50J8Z9snufzysoi02Tzc3oTfS76jgMj4nr0MendMAkZtmOksK6obi83iIuPr6ibfqDpXDgLvOCkgzj3M93erCKmzwHRtt5JWl+8iS6uS6x52lZWFgNA9V2Jdbn23pxUnvuU68REppvSx75y08RRyWpsrmEroHC2ufGSa7R5mCsr3iWcR62LL7+tL8hPLEeuSCNAX7w9dO0FgsrgMa76PNdcwGRGILw97TCsLiSVMtMQ+4PPowTGZ1y376QRNWpcP3X4ml7MiNCaLjPH8S/+bz/lzWVaKKlhs+DR8fUWNK30emM59LHeXSigDmG+wsDykWHp8yheB+7JV6QGPGL7YF3ARLDV55x0qWIIEjS2QPHQfX3zcttLmqSOLcrKoh0rou91nhDTde9w1cICMzzDPIj95KcVVqG0F3Xve5coov/PHsmiRrSxj+TzoYExLOPmMHgbEDU/n08Nketj5jgWPkYeNNHEVlKXuQVNR1puw+cDzZo1AI1h0okNtuvq6hBXhP3FZjHxxxXfp1pviukLLVmmG651vQzrkXNrSpLWohBBjZTGlSytmCtcb6gqI990ny/LyEBJp3NZUfOq3aVO68vISUy58XPGAeuuNOqSziONRYlvE+8fXGury2hiLVJSP9t3kK9w7LBCfhBMvWnwfFDIhZnDAPsY9YA9c1JWtCcrztbL4NlhCBUvhGgRFwsPCYhMhNrFiy7OdMQkXkzixWWDka/n+kfiWgwsyXKfpvjFZWFzrTOvVCSh1sTpZ4xIhWeRTRKLdxrIOGpdppmDxOQ6fsuRGebMIPQe2wQhMI4oJfGZSNw1uILcDhGVFt5TKlWNdAM11KdVDNxGm6m421jhReYauGnmXBJ2LZl/PTYKWlnDiREuzzOC6fXUPOoEtdsb08lEmrBIPHdWyIk8+5evzKqBgicAgWFxCJCZNnrgsbDb3NZ/jMMUQ+AoXOY8sz0neQ3rHugmmPcY8zpUuf9c6UxpdPEvaxpJp/6wbYWp+2vxj4hhiGtQm0gqWLBtfsjhxDRlrm2MmLWnbA7Z3utrZaCvP1smpi42R3cM8aLgWHcNdd4m2xchcMGPd4iLQzdlipEPFCoknvE2RlwnYJVbU3zr3M9cFrj70TA/EEQuMCZ0LmG47H1B+jI4a5kpn+e5jcWnX/8PXHdGEzW3M16Ushjx7F0156ibE9IlLkbm/VMKBBovSPpbR0dISK1iywvZf+f6Pof+3l1BJi88cED7o3i++eTe78WWztsSej7wsOKaAfHWbaxQxG6Z9fYdbNg17bWqfKHQNDqKrWh2To4ipbD/yDF3veoaOAcFCS0s4+dxDWVxsoe5nPjE0qmuZnIfycOwSgXlIXqKq5WVY+a1DFS+6tLS22Am1Pgwb0rYSHwGbps46twVTQ1BnHbQJ8Fg2odbjn9f/4JtvHteDLh5O3R6aX2geJneqNMLD6AJj2GZaZ7qmXOld+zc0uF1zqMj7AfoAb13vvilAXFeGj7tSVuiO32Rtkc+Nqc4C0/vU93zp0vrienf7ChfT/6PLT00fEBNrHHpaRp0ccww0wEOp69Ti+SGeZCtasrrwYh5+NgtMSB6KGb1rxLTr6x5h6sUm2RJ6Xn1crdod03Vqi2fxjXWJqYsQ+lkEg6el1cLJRsy5MQlU37xcAiZLAesrloKECxAmLOR90wgXU3qffWz1CiFEuOjSmPIU51WN+wDM5al5yISMAJpFOkHMuTZZe3QxNfI2sa8uP7k+rRqkoMD0C2t2E+IEiwrnaQknTLSEjocfShY3ti5gT4epx0ZThy5gVLyo631jJjq1oZwFPg0o3dK2rR2tLTK+15XJNVFXvm67zQrjWycdA6iJFqB+JuRmk8c1YLLomc6zLNxiRJwpvS6WRc5/WEkjY7Oq2Lb7WFx0v30sLqY8dOfYGqdhs8D4NsRtjXBT/i6rg8lFKRSXcBHEWKVM5cl5+giDmA5EtY5qHiEtMVdan/9M50KuxrLo4pzU89WCCbDbhbxciElnko2lpRmCxTRqWCwhE16OpLU1EG1xASb3kSL0QBcOw8M9RIyEupQ1C5dwMbm7ubb7Che1DiG98iL9/46M/GKK+RAcKW0XI48J/rdUwiYAhzZpJDJXXdMgjksXSxMT97KPks9jhjx0gkjnLuZzbfiIF19Ls43QazUkH2egua7BaXKncrmY6cpR9w1xmfJtXOvqk6XwUmeJN9VBLjetCLMdu49gsYkB1wimoe0I1yAMqru5XA4tLXGo561aBTZubE1dcoAxLeG0Ni7M90ZWHxaugDxXr0bsw0oToG/qQRTfi9LTX3RMDRofq4prm5qmaKS1ysUIFzmNq+Fo6j0PqV9e1o5WIspP825I4xqms96UlTS6MkIsKD77hFpc1Hx893GtG8VlgfGxupjQ7SvvbxIvKiGNWJfVyFV3U51VZPew4eH6eqrxMT4ueiHY6uWyvqTJMySexhfPya6JAZ4zYiG9aMl6gqs8cT1MIx5gcs91TCNqLFtaNimjhtl6dNNYWlzpW4XruELqH9NjrYtvMaWTlzHn0uXWlgf3j1gpTJYWsV0+PlHPe0e2mealsVlYBPuNbHtEYy1Je/w6waL+T6qlxUdA2NaLbTHWkrTuYT77qesBxLmC2d5TpuD2tFYbV7lqHVzCS01vI8TFS3UNy8vtyceqUnSnfVs8DBmlS32Gjh8/Zs4ZLS3hpBMteYyRH1K2r7nY9HDL4YEb4v4jXrBLRtxnbA2gTsTVaNJ9dzXq28nCohIrWGz5uRqTPo3ntA1steF/f5MDL+9VxIlMF4B3a+67ex11nBtwrwqXr1WrVgEzZ1rPp8kdTPyXeyvlLhsR/qpA8XVl1f1GxHpfweHrrhYqcFzrGxr2NlHhax3xcQkLcZ8KscqY3N3SIKwrpvelS6SYjiutuHCJFZ/ORp+8xDbdulh0k1wSO2+91biuvz85l2OsjUQaCRMt3d3Jg62ZYiVtvEyoH6xtf81+w7A3pmVs8QRj2eJiExry0iRMfMRMqzEdj8uCFFL/GGuLQG3wqvWrIHlYVFCccxpCJ9xvPoLcFDelC2Y3/U4rXrKynsSIJdf6YHcqdV+BzXLjG1/jKk+Xn65sXV4hMZsif9E1W6nUBIxcpstFLLRhHjsqmGl/1+AIujQ+27OAQ/qmZ2gI6GrHJ7cZWlrCCbe0tNK64iI2cC/gQeXbYLMJl7QxAu3OesUtTHVTAurPX4h7WBEFi4pJZDXLumLDZI0oS3lncb3GHt+dkmUhFp/AfJNbWBbs/cYb6O/vH/39hGRdCT0vu47Uc5mUh+5+kjEJFjXWScV3fRrria8gSRWnE+pO5TO8sWsOF4FvDIiPy1YW8SRyejkQX77+VQuLKmDyJI2bWJog/9COTdfk2Bw9LB1r1ybLyZNbWg3SerIPxG+mYFFdxNSYE12vU2hgnZQ2tJfchOpzXtTGdZ7IjSr5u064mKwsvtYV2/nNWzDqxJd6PFkKrZh4A7Gf2pCVlzZLVysIEWft1CkQ+zxQryFbnJLO+mFLH2PZCLGo6PaLySt4ve+8IrY4FnU/24SOujJN5foMBpB1Q1h0zQ4O1nq0bRYW3fa88HHrCiHNQD5yOtXKZLqGxkiMRu50mJsdLS3hZCtasr4xY0yqOlHiEjcmDIJFxke46BqA4rfcUHhipBd5zzHit6meB922UHEonzmfxl9ay4QvLqHrYzkS5FVfU6+3vBQuYg+NxGEd4HGt/nwk7TDq52tZLA2FrP7fh2dwDwiLiiuG5gHF0iHHuLgC8rNAxKk8IcXemK4HEdSvDo0Myz46dGWoHQe268zXCuJjUTGt05Xpu1+IlWYUX6uI70SUvm5goSOMuYSRrmwfbFYNn9HRdLPCh+KaZy3GIuJ7LmLq6ztZKcmG558HJk1qdS1ICwkTLUNDQHlkl7x7DnxvejWdabQOk1DRTR4l1o9g6/lXsb14xTbR8BPritBz3Wx0PcO69balTFXaFno+sxAuujJN143NapHmWnD1kttQz4Ea46BaXIYBbArIWz1uG620jOhiX1pxf9qEvA7VSqlbrxMTalnyf21yw/O1nsjrYywqodYadX1M+jpMblg60eAjPHwazz6B9SF5hjTEhXiX3cNM4kRXboxQcrnT6fLNchSxrK1VJgFLEUM0DA3lZxHpMKPUKGGi5fnnk1Ecttgip+qMkOYG14kYgSxc5OEI1XUStgazbwPM5I6hfh+ruBpjuqWaJsuGZRZ5hQiWootWtdErRHcX/Ee+Cz3WuxXrSJbn6H+V+A/TdrnMe6V1wwD+JgfLy97Val18iw6dhUWgs1za4lt0AkLd7iMuTOvE+rSxLKHlxazXbRvFFUMSOmSwDR8rSjOHGfaZlDPrMm1kdezNjDGhYCEkM+Lcw/IcezzrQH81EE6d+ElYWgymcd+eVlMP7TBqQcxCUMuWFkHRG65ZYrM0qOnU767zpBMwPqIwzfk39YjrBAugr6MPPla8NNgEtLy+jPoGpaujSB5xTLYw2uphKz8NvvE9Ks26P3WCwweXtVJ19VPTQZNObFcnrAz5L1zCxydNGvFiSu/aR7fdOnqYjdBhiX1G47J1zoWi5lWpJFYX20ADWTX6fd7lKQfPiS7XVr4LuogRDxjTEk6caBEjOQimTcugKp7EiiXVV1Y38ZNqeZG+p/UBB+pfvrbGw9KR3utOjG1ZaxgpydQ4M4kV9Xczz5RvXXUipdniNNSS50qvug+J5cMj16xr/hJX/nmdH1/XOfU+183hIvOTkev5Axndq+Kef3LkfL7Tka+Y10VO96TDkmTDZMmU87OJHZfQ8BEeWeQBZVtI3ItrPwDuEchkYkcHs+Wfpe+HqYFtitcQZNEozzqIPg9scTYMsCekqWQ/elgaXA9B0wMi9OGpChZZxKjfMfKiHrG6mDC5gdlcgsaqtUU9J6608rIZhPRuxyxtZfhYOkIJtRS60stuYj7/T9mx3adMXfkx50RnEXWlcdHK+1a46anYhHWI5dEW7yIvXd99hIeJmLgY1/rYbVbri4nY0cF8848pX1cfnWtilsMr5zHnWlpC6uTrYZKl+xzpaGhpCac4oqVZgkXdz+dBNDSk9cG2NQB021TXixD3j05Gd65MDXyXlSOLuqRJY7Kq+BxDGkItKrr9YcnD5UokeHik4VNBLc5lvsFa8BNN7IiuPNtx3aPM26JrOLsa2CZCzueiUgkVAEc3yTr6kDTSmIqw1jymGY3M57kFJa263WRhTnsNyuWqddGtT+MmFrvN97qsIzauJSv3Ih/LjVyuLY80jfEiuUzF1IOz2xPSclojWkIfGCGjcYQ+VHXWFpG//JAdGAAAdA0NoWvkAa42RHUvN5OlBdD3koZYIdoRHyuEbb1v/qGEigo1vfof5y1SXHWKwUdE6xqHwpIiPqbefxe+Fh55mab3P2198sYljkP2t1kVXPvr/nPfcx2z3WRJc4ki2/Ubsy3GemPKow7fIY5NjeM0Df+04iN0eGaVVgmXrNoL8mijJnTuZEURa4S0Oc0RLWlu2DwEi7y/bVIo00tkRNB0SQ9w9cWnexHqGlsmV4dhJD2lA3CPzNSutKJhr8NWD5+Go07A+OzfbGwNM3m7j7uRzW3GV7DY4kAWjVhQVFSR4rKyxNRPjstZIs0lAzTei2pdskJcRw9Lc9zYrqUlpVJDPJFppDERLxPrBmdq5OusLi5LjO86tVyby5m8Tld3Xb3VcmLW6whJm8oiEvqOzdqFqRkuUVk2/H09N9RzHTLDvSrQ9t47+f3oo/71JB0N3cPCyVe0xE4OGZKX7UHpU76aRjUBqxYXEesyNAT09dU9vLrk/YBRUSOPnmRq/KmNR/HHjHMfQVvhIwrSuAuJtKGuIyFCQ5dW16j0sRb5NthCGl0hxPS8q6h18olh8SlLFfc6keLr+mUTMaI8E7brTR7+OQ/RohMsqhCIydvHqqaiK9NXOMRaWUyWNJcYisF2Tm2dUCEWF997KNVQyQLX+882D005omlQ9FiOmPlTdNtVl3KX2BTWGR8rDSHESj6iJQv3L1tesfEtaUYe07mOqWUagvvLg4OjLyu5gdOF+kYPkN0LuF3xfqlnmLctTSssLbZrIFYM+LpehZThSveYYqWwzTGi8uEWWBeXaAKR1f9BtrxsQu0e1qVNgxgNzKdOct3kNPsZzmFIB4BuP19R7SP+TaJdXaY9ty5BErrN5VKm4jrnzv8kxq3L1xVL58IU48blU7e83tEh2OpgK183bYJrH4E4n4yHIRKcXDKc5se0xLhwmfZL4ybm+0BW53KRrSu632r+Iw+rrhHxoiKsKrYGAalhOj+xbjqmhpXvelmk+FhafN1W0lwPsUIpC9r5+rW5Jcnf5fmWxP8fY7nwrZNaF9P1lMblSy3DZ59Yq5/JjQzQCxZ1ny7H9hBs/5tNmIRaXVxizra97riyCIg3oZtpvlkiI4/jSVN3XxdyNY1uvbCyuPIghDjJTrTE9l7Y9vURKmndw3R5qGZceYhkeZtqbRG/1XlgRAwM0CBcdC4gOlejTmFKtYo1Sg+8jE/Dw9e1R20IufCxqpjW6cRLiJtbGvGShYuXidiGoI7HDHP0yAzDbCFoFks0I3PJ34VYUQcgGAZwvxQvcqDncTw2Er+ztya9GkPzsHTvuHrnH9bEBXWhce6XJxRrjq9gDhHWJjcynWDxwSVsfESMy1oSIlisQiNwu9czwDf+JS024RJabpZeEz7Etjt80um8KsR6XVp5Uk7GtpARGNMSTjrRssUWiaUhVLCkTR/jm2raLzSdOlSyj4gR9PU1CJdhJD23qpsYqeHT+NDMMDBKWgFoEx8mdzCbi5iu4aamDYm5sJH1sften6E94fJxP6IMhSxbM9Q8TALnoVLJOIDFQxrRbLPg6Rr+YmnqdACA/5VEQxeAV0a+PzJpEiaMfJcfwE+USlrhIiMLJROhAnfvarVBuMhpfcWLTx3UxrlNGORlvTJhcwWDZZtOcGQhUkxlN5xbWyxJXqN1ZSFYQtLFCLMs2wQy6jvfV7zIQrO7G5gzJ2k/PfhgeB0IGaOkEy2uG17enraXJTYvV76+mPxYdWZk3YNL8mdVhYvupVWRvncaakPQx+qiazjqXu7qPiE9t6HpXBYeHwuQ7re6bxYuP1kQ2nOdxnVH3cd2LZjqEoPa6y8sKi63w5hrTc7Tt75y54btOkt7vtVtoXmGuEmZXMVM+/sKmlDLi64suZ62bbq0vi5fvttszwvnJJDNDACPEQu+HhRZuatlfT5M4sWWnkH5Yx5aWsJJJ1q6u+PEgq+lJObBFvIgyGOMdh3CGjUwkHxHTbjIPchqbIv4/szIxHW7dujQxzp0jVRTj7crn2YIP1fvt0mY2H671pvKyJqQxp7NVcanAWZqyGaBOnyxDZFOtdY8oUzYqLtO1TLU3/u98Qb6+/tHLUpyHk8aXLpEPqp4kl29HrZMOCkjylUHRvCxhqX9L1yi1rcONrcwNW+g8brscqRV6yqvd5VjSqMeh2tbTJmpYid6eoBNm8L3E8S6Y8v7ZRG7mqeFRc5f9baQOzR9hkQWeRBCvMnX0iJubpf48EkTk4eOmKEc1X1lCWszDetGGZOHRAYwbnBw9KUjhkaWe1ArUtpOwafhqL6Q5aXuRd6t2e5qhMj49tza9relMeWftyBpxXVjcnfxcTPyEXFqvlkjD1FuK9PXmmBzg3JZcHTl2PKz/dblFUoaC6AuL5tYUQWKbpk1JmshYP8fYq2mrv8xROjX7au6jOlGuxSIdMOa2vi+Z2NiWm1ixSVkdGXmGR8j8slaZNDaMqahpSWcuBb87Nn2h6CJGEtJjLXFV5j4plP/fXW/SsV/2EMgOYaRT9eIaFEbMPJy+zFiYdlGOc7Vip+9roEX0njxdT0xpfUty9SwaqaASFtWlo3CkIafrZGmy/cRQ3B/F2qWB1O5NkxB9GoQu8ojkqXE1bjW3e9iPxe2+ru2ifx1lp5mEyLadcLFlE+IBc8mnmz1i9nPR8Cb0oSK+qbNm5LlHGpp3/95jXZmsrKY0oYInAMPBCZPBhYtiqsbIWOIONESEssC+FtcQrarwsEmQNJYV9T9dfK1XDbLWvHwGhxsHLRg5HjKAwMAGl+wWbrGFAmXK5WcTkbXwFO3lQzbQ9wx1Ea0qWGd9X+TRX62c9OsOpiw9ab77hPS262mM+Wv/k4j1kxl+1jp1N+h9fD979JeI4IQC5qprFDrm618k5XDJGZ097ltH119ffbzeebocHWaeFl6VHcx31iKGG8IUzqf/EyWFVsbwNfSkvb9L/II7br2cRMTwmb9+rh6kbaGlpZwwu7mOXPihxwOedikEStZixcfK4stb/WlIXq/lID+roGBup5XEd/SidddSGNMfglP1vRyrx/p2ZYFjUlsmMrXvfDTNI51vcGuY86i4erTGE0jYNJaXnx7wk0NM91vWzk28aLbJtb5DlXsi4gdWbVqFTBz5uh6MVLYU0oci891JtCN+pU1aUS66TxnJY5lK/QKadS5IIuEhpB9fN3cbPvDozxfq08upHHPzluwqOW63vOh7QD1HS97VqjTG8jYrDGmMgghVuK7IEIeYr6+q7rt8gPG9F3327TOZ7v8ADGJFHm77YEjtss9LmrMy8jkk+NG0uTps10UQiwtIb3fsoARv+V9bS932zn3aQjZBItvz62uTrGYerRj8zQ1on0aZLHohJ/vveHq4datz7K+vpj+G5ews1kYsiRNYzoP8rJAZXUcJuHiqouPNc72v1uvCdlVzGVtyTrWRJfe9N6PESqh7/5Q0aLGssrvfPFdtqqoIsY3KJ+MOYaG8tOreY3xsHz5cvzrv/4rFi9ejNWrV2PGjBn45Cc/ifPPPx/jxo0z7nfiiSfiv/7rv+rW7b///njooYeCyk9vN40drStErMi/Q4WLbb0Jm1DRuYqZHmryw00NihSz5IrzMLIsDw6ODmk6oUNjWaaOHNfLSi/xC8r8HGkwWUZCLB82i4kpT5tg8Wm4hDS0bYQIFp+GWojQsuXtY2Exfc+KvCevDG387jxSn2cMI5O14hxlhclqWUSaUa8shFGzReIoWY3y5SN81G0+giWNUAnpwFTf7eq+pnlc5O26dQcemOS1eLG9rmOZ/fZrdQ3GPE899RSGh4fxjW98AzvttBOefPJJfOYzn8GGDRtwxRVXWPf9wAc+gBtvvHH0t03kmAhrzSsN7DpsDzEfi4tNgOi+p7W0+Dyk1LS+VhbxUDMhx7b09CRDIQPA4CC6BgYwbmiobh6XTkbt4db1eIc0ylRXMZsPuM29y8diYsrTJmhU8uwl9xUuPmXH1s/ll++zv+m8utz5bPXIm7QWF10+tmso6+sny/Ol60AI2Vfge5wh13oaAW7DdrxZuKv5PmfqfocE5se4b+nSmNL6unrFiJWY936M67itXSDW66wtpvM2Rt75pEalkt8AcnlZcD7wgQ/gAx/4wOjvHXbYAU8//TS+/vWvO0VLb28vttlmm1Tlh9+poSOAuQSLb4xKGjcxn226NLZ4FpupWO2RkdOrsS3A6Nwtcu9MUXsj88TkorNtYM94qCuFWr6v6PBNH+IuYnMPUtfb8BEsaRpwLmx19z1fuqUJH7cbdV6SPDAJ2FB0x22yvNjOcSgx1sk0otdWV5/rc7kyAlrste46hlDraNbY6pvrPR0iWNKOBurrieHbFlBJ60Ju86xQcXVcUqCQJrF27dq63729vejt7c20jDfeeANTpkxxprv33nsxbdo0TJ48GQcddBAuueQSTJs2LaisbGJafOJZYntJQkWLaZ3PNoHrYWTbZhMxqmVGuIkJ58O+vvrJqjocYdGAZhmSh/rS1jXmXI1e795KT0ItAa48fNbb8g9t1KXF1dAVaUzbbcJFZ3kx0Qq3qVi3rZj/IM21BcO+8r0Yco3YhEkaQhvsrnWmfH3Kc+3rQ1rrTvR96zuvmnhfuQRFmvlTmiFWsrK4uAbbMeVjci3TbSdjkmZYWmZKg78AwIUXXoiLLroos3L+9Kc/4T//8z/x1a9+1ZrusMMOw8c//nFst912eO655/Av//IvOPTQQ/Hb3/42SESlG/LYd1QQsc7XBcy2LVawpHng+G7TpVHjW0z1kK0tIaOOdBDDSEZL2yGDHvGQ3mefXn41vVpGFkInD2IaeFnhOgcuK4HN0qKzQKj5CJphYRG8q1rFQ5GxWdtXq1hRKgW7UoWIo9j/eHflHD6pmUPJVqatfnLeTzlGQwsVKT6CI6ZDIos0ofv6ijdtHr7uWDpiBtQx5Z3FiGBpRweL7ei0uYGpeeje9TovDF1b4sADk+X995vrRIgnK1euRH9//+hvk0C46KKL8KUvfcma129+8xvsJ8UVvfDCC/jABz6Aj3/84/j0pz9t3fdv//ZvR7/vueee2G+//bDddtvhrrvuwtFHH+1zKABiRIvNgiLwta64Hh4xFhlbfiG4hAtgD7y3WVzEOrG+r69mLhZzuoxBS4sQLSG4GiWuBqBPzIBvPUyNalP5oW5epvx83XZCGndZ9JqHWhrkMnwsAbH5543rf3cRYtGIjRWx5aVisva58pP39bGKuQgRKa7rOUQQuvaJyct3/1BLizYv3/iU4eHGdDbBEitUfOsEZNMGCE3ju6/NAqNrP9jaFLS6+NFhnbnNsLT09/fXiRYTn//85/GJT3zCmmb77bcf/f7CCy/gkEMOwbx583DdddcF12/69OnYbrvt8Mc//jFov7A7OGSGW51giX0AxTyc0uJ6iIRaYnRxLnJ6ebtwE+tQVim9qUKwbJ+iR9y3sWKKB/AVL6ZtuvWuRrXLCmFKH+MOpKazNfJ8G1G+osu3oerzH7jiPASumevz5IAMruOs04f8Vz6CW1hHlipzzJjqJ+e3Z0b/jc2aoqYxpcvDIuKbJmRbiJUFQDqXLFuHpI/VRZenK13IwDxZk6ZjE3B3bgpccS4iH9GBOXcusGRJXN06FeGRQjJn6tSpmDp1qlfa559/Hocccgj23Xdf3HjjjejqCn+Svvbaa1i5ciWmT58etF/Y3eoaW9304EkjSJohUPLC1NuiS+ezro15VpoEMrThayPUOuISKTGCJQ9MYkveliZewreHOiRPQWgci48Q1InNtBaNIpJWtIQGy5ssWWIptj8zcv+qrps+YtfmagnUu4S5rBE+161LiGdxraQRQFmJlYbfadyx1N82N2/T+z52wsmYOVdi3o95vVN942RN6XTeGcLjYs6c2veeHuCJJ7Kpc7uScQB5q2nHeVpeeOEFHHzwwZg1axauuOIKvPLKK6Pb5JHBdt11V1x22WX4yEc+gvXr1+Oiiy7CRz/6UUyfPh3Lly/Heeedh6lTp+IjH/lIUPlxd7H8wAkJtA8VKCEPGdNDwdW7oUufRRqBj5uZjgkT/MtoA0xCJTYAX5evLY3JOpGVSDFZFNI2kHzjNnzxbdCFWoF0ZYi0vsJDTR9CEd3EYkhrDfBJ6+u2OAz3efV5str+b1MdfMSIz34xlpZQS2YasRIrYIxixUc4mISMzgLmI1hCA+9N6dK+710B81m1EWKwBeKbLDbyhJWEFIR77rkHzzzzDJ555hlsu+22dduq0jPk6aefxhtvvAEA6O7uxu9+9zssXLgQa9aswfTp03HIIYfgu9/9LiZOnBhUfvidqnto+QTaO2tSAMtC1oJF4Bu8r/ve5iwfCSw2WQdiG5vrHQG7ArXxYouRUNOZGt/NxOZeFWqx8ul5DnG5if3vdD3vtu+mMrs029WA8XZjG8PEqz4NaV9ha7umTHmK/2SVNMhABX73hHrvLJNcynSW17TWJp80IWIhprz/v73zj9W1qO79Ome/+5wNyhGvBDimiN4o0dqQSCha/9BIUmxrQgKt1Ks3htBoE0poNSlNISrQisIfpDHp/YNUaElKrvxhExKaQJsTa3LBSKpJ+xetubQeYim3reVI5cfZ+5z7x3vm7Nmz58daa9bMM8/7fj/Jzrvf58fMvM8zz8x8Z601T03+muOJSO6yFQqPcFl+qWDhWF5SZbPs80pWjSn715SbeKxc/lS5u2aXX768rt//fttyjsb73kd03nkrNTYiWt52hWcVO+0W3HjjjXTjjTcWj/MFzDnnnENPPPGESf51NcBvlGpjUEqrbXC3x/LjNFSWd1gahLdiD2KIdPZXQ8piwxkExVxsYoMGiYUhVpbUcSWk10Y6m+3/nztOOgMdEyKxz1h+nN8cE5arQs0glytectcrZwF120qtVsxKyFk4gGNhkFhiStdmNERlzMWdEMncw3xx4kZS2thKrqsYd2wQO57zHrXcvtI2K3LjgdKqoo5Wvj5zwbnIMScrweqie0JjVpazKQ46ALeaYckF2muFT6xsiwXRJz+5/P+RR3TpTsjznoVFsiqRBO7KSe64rWAW/tVEA5gaCFu43kjS0qJxV+EM7KzLnLp/nMGuq1uXzdyykuKC4Hf9B6OzlgrP2LP534J8/81bgrkFGiuLVoxY1N85iJ4onJc6xtyTYsdb5K9Fa0XhTopKXb+5x8RcwGKL8KQI79dVVy23Pf00v7xgOOZoaZka+Sg+t9zhvtQZ1o2SiTRnPeHkkcsvVlbOndYIFO5qZGHao4pABqELkE9J0JQozRJbDGJauapIzm3plpYb9Fnk6c/Wx+6125bb7v/vnoraujNH/FYgZ8HjuPfF0kilGcu3FIcmcQHNuY6GlCyDEjfH3uKjpk0yLSvXnSsnMlxQONHuC5Lddneuswz4+2JpchaqkZzD3ZcSERI451qIIP8F1P62FV5hdB/uGqzoJBXgI3tKezwkFhaRGp9WiXjJobW8TO1zW8mPgpnZHu47uXRD64oEzWBB8ht7zQ5z0rcWLZyYoJT1JHbuz6x5ZxVeI86xFnXn/DPX/UTE0sN179MIzFQbYiFSRrWWmD2DKYGQw49p4fQ/oXBxacT2lYSLjyT2Mzyn1mW8VsBY9dthOu69beF1XidcvTm1WlNVsLTI0QfiWyF5m2x4XGl7TSPCWYO9Va2YeW0rDRysgvFbUNt+cEXaCDPAe/LiBtFy2NnZTfvkyT2DVt+yElpaYjEvYElsUJ4SDCmLS0w8cJ8915L6x3MsLdJjcudK41dS56S+tyQm2LVCKnmsLxBCSoLBn8mPvfEuNmD2V7byrSsauCJL0x9zY0xzFptYmqmySRcgCmNbSmOX1MJHq4x7Afe6x/YAoWgJJaGl5SXmKka0Xg9mihtuWF6Pb35z6pKYEIqX8N0POVIzvhxez8QFWAwapIHqPY4twl0JiIMbxEQGTgdPnhQJkfPX3LIScu6Z6xGLw/KvazgQjn3PWUG23fuUguvv8v9p5J0qKfc+yTGl//20/P8lVpjU95ZoJyfMJjVCIZMTNj4pkZM6Pzw+ZWFJWQtSS/uGy/6m2qWclUQ6MerDebeKZF+OULjk0lgs1mNsdNVVS8GyWKzk8s+wtMjRx7TsSUXpz8k12XLEDNeyom1IOPuksz3ScswAjk+2PyiRXhHNamCl7Vbnp35nTZ57KAkJjXWkVrT4HUlsdtYbdBw8c3wqlsUdM5LlbTQO0e71cc9ObIDuWouDkRjEPXXNWcWYAwJOKyS1tKTOqY1x4XzvRS7fVBm7lzWcxU6JBY7wqLG8pKw5se9cuH21VMhIxVJIblWxHOsiWjY2dn/n5ubqjsQBm2ljWrhuYFPHeWiFS0sXsoHJCZfYMri1aeeOfd17J4Qm3ey54fMQdKixc1nWGM5zlhMokuc09XbrXB6x9weEOD/s1D5KXx+4haU5ePr0Uux79TpVp85ex9w99o/x7+s55yyPP3Fiz2GpVjhlvcnFvVDhuJKA1YgW7r4cVnW0WlBZunRqkLijxeJeHOHv4IqdQvuyJ+1wXFFyN/excFWPbS+hcR1bNVZ8sYGdnXZDxFX1pJPV/hbqXms54VplrIPjOMsdp4SLVZD/DCi5aoQrQtXkEfPhl4oQkXhIdZYpP/BYPv5KO5I8YudwBiucfLgdRGllIT9dZ20JAkkPunX3AyBYeCwovfLa2edhc3PpWkGUFi7OV9xRCPY9mLj3MWsNx+IS25eytHBiXHL/W2GdZlG81E5ipJAE7Evdxdw5RHHxUoJTrlJaGxv7BUzJ2pJz9wr3p87lHp/CT0dipVkHVlzEgDL2kl0rFEoWFolfaksrTc6snBMuriyx79x8r7+e6NVXif7yL+Xl7kTMj55ILiIs8hf5tZdmoUv452diO4hodyAvyUf6hmtNutYztf6qN6nB7gr6KXfhjMUlfNna2XrthCLR3uVRS/c4vE8XXrj8PHly2fbkzveFKu0VMimrUGyfs7DEtsfoKVhaYiZWtM90K0uNZBGAmCWGS8piE1uSmUgX16KJnYkdyyE2+elvW1XR8qEPLSdTOIsnzJzt7Xbvy1yxS3WWNnbGGqEQG9hLLS6tKfnDcsVKqXHzLVuLBdEb3zgb03DMChJD+mtSgkjsKsK1VnBndvzzSxaXMLiUm5/m7dalNGLHctzCUvi/zRcsvoAJ3egYbnUgjqv7+wb2Tqj4lpZUnSjVcekAMjYIdeXL1CG/HkhWOUsKFetZ2V4C28L6Gh7PiYdrOcopXbswUN+HK6bCPGJphtaXkJKlxT+mtJ0rdnLkhMvLL/PTmRspsTeT8Q9oR7saYPngSi0uOSFjJXJK7mKxsuYsLbmHc7HYHXy4z0EJLR05S4sbbLm3fYdv406lH/7PzlMSdF4z6ximFxMpsReGcfLl/AaOMEkdmxvc5MRWJQdzPu4gzZlrdTCcRY5ZWmrrNOf8YPGF0PpytnyxeuQdu+fZPbN4Q7ZssXRS+4O02YS/pTVSq1jqPMsVAmNwVyTLEbsPOSETI7UwACe2Jox9CeGMY7j9u9T6khIuc+fyy4nOP3/qUkwKLC1y6mq+1B80tT13ntbi0uvBthYvsTT8v8FFiyMlJPz9JbePELdkcSx+5YD3f3K2lTPIt+rIww40JlJSIkCySljsd3AsJ1qhlhJbYdrcwWAuYB+Uef315ec558QHj75g6SEGfasa0V6xkltpzhG6EnLqR82kA1eIpfJLze6H1Ip9zcqBFvc7JzJ9aoVL6T0wubKFaeTS4VhfYteNE6eSEyu1CwyFwuWxx3jnjchlly3HMWj3gQL9qD420K6NZyHKx6hoLS5SAeTDjT/hCC/Ob+CWZ1AOBn9EcdHitkuXt00F3e/ZFvPf11ooNHDccEpxL9z0Y78lJ8IsBjeFVdP2HZvbv6pLnExBGLuyublfsFhaEGOEb++OuQtK8ggXCuCWwyH5vamy5eqwVBxZ1XfL+Ldw32Ihs1bVEF6P3PXJLbFMlLeo5M4puY+Fv10SgK9xFQ+/r9pCPqGgDK9vaowz+NgH9GGcQHz/fKL8QF/iGpYqj7Sc2uB5Pz+3Lfb/THn5wIF9bzUPXbhKLmKO1w8coEPuSzDDF3uBXlQUhR1uarDGGeDX0nImKfcbJbEutWXMBNln97vBbSFQHzAJ77kTK6FrWK/rnBIrGhdDrZuUlJRVYQ71syaGzYrCynPRYzXp+8QsKjHxkipXeA7H4pMSMSWhoR0XrcA4gYiI3vGOve2Sg7OK3YoKFriHyRm3JuTER41QIZJZOsJjpLE4jpS1qOReFq4U8uqr/Pw7EXP9kixDvGdfJh4kmp47/sCBpatMala55EbVUrzEkFgrcudpxIvl70v9jlCMxGbZd3b2x0AAHeE9T1la/GOlaeeIxaxo47a4SOpxTexKSnRLypWzrLawNlq6hNbmmzou9rul1zW38ljOfSwsC0e8xMro51GytKT+52AhfqbGb4v86+b/H8byAhAgqxXcSmT1YFkJl6ke9JTZONd45WKABnyIw+VJKfK/SLQw8tkncDY2iE6d2t2mESsWFgjJTGMNJasR5/e1qEvb2+mBRW4mOBczAHjkLC3+dkk6XMK4kx6WiZbPGEdgcH6fL36kQsbPi0PLuB+rMtRSsniEcTXc99D47bZEvOTyaDUembvVJdZOOdZQsMDSIkdfMzgB6K0pmWBzVg1pQFxtQ8MpU/hb/HOIhrSyEOXdtmKfUWLWkWCAsGc51/CcU6eWlpbDh4kOHtyfVs76YhHjUhqolQYmmkEe97fkOgOrZzUXT+YsKU6gbGzsrcvhbClEixw/9iOc0ZS4hmkGnrmge+tYjlIZHJLg+VJafnqauplyO4u1dTW0ur8ctPUmdZ84lrGUO1jOZay0SlnKWpNzM0uJKY6LmN9OcmI55jwS9SdRYnFUpf+JiBgrjILVpn7E0lsR97DiaMm5pPnHcGJaUmUZrNHKvR+lKFZK1o1Yp+YPwFKzyCXrSc4SoQlArVkBqzTYKh1fsqrE3Bqt67nkWXLizv1OP7YF6PnhD4ne9rbd76GlRSOo/bRyxARKOEiUiBeLumAhPLirnXGRWFtaWKtGEiz+ubFraO0ymkvLt5bElkROuZlxrS85sVLaFjJnC4S7JuHnGgfe7+y0s7Ss6ho38loxuupvaZat3Zfzb+W4hw1INiieSBYgmjouJj5CkeGuz9ZW2l+2VfyHvwy1tqPVzOSmBEwoVFpZWlJ11o/D8uv39vbeaxUOZHu5160qoXD3BwcaYaLxt/fTiol5TU9a46rpI7G2cPPN/R5JHpIX0FqhFUUt3cr869DT4hqzrHBiZHLCxT8ntpIpx8oSY66Ded9tteQFMNffCJojqxk5k16MQQfaQ1Djm3rTTUQPPmhbHiGve9MDUcEidbOSuDbEBIcrD1eEcOM/pAsvWMQEEMmW/sx1AJJOoYWgd4TCPBys4X0tdqREe+44H+5sb2rpV7cvJhJ63WOJu5iUkgWmNAGRe7Gmn4bFoL1muWiH1T0L8y68YHRyOO+eKR3jW10k4mTQGFYVv/ALu/XZv1YckRJuX7EFW1oOkVd1+C0PxI/ZsqQuTlpaPsRaE6VmhiQ12+JviyFdcaQhvjXlbGlygqBEquHnuHL5s5KLBdGhQ/HjStssZn2kLUXMMuiXiUNOoHB/E+c3SsRJ7JNoGcvi0gnvxQgDlTnjX09/gMCJE+LUh9wxKQHTqs2SPmeWlovcIDXmGlc6P2cVqi1zyv2Ke24tUtHMFbctV6VLUVqVjOMulmsfubEtcxyNhn13rH8Kv1tOrIGVQe8eFlveL4bVAzaF32Mr/9KcmTjcn+Kzn11+PvCArgwG7HMDK8WSlCitcJMSRX7HHHMdi53rb5MM9nNIZ9L8tLmryHHKZCVYrJ65WIfsvqdcxC67bPn5D/8gy2tdec97lp9hoGvq2eO6tEpdxBwlscLpP3LPAFdA+7R2N/KthTlLSS4g38fC2hJb2Y0jmloLFu45tS/17InUvbXUX8zd2vILvxDfvlhAnJwBlhY5ckuL1CVMI2haiYVUGpKHprZspbgWrnCZuEE76wrm+6hKY0F8uMHzqePcqiJbW/G4iZTLVzjAl9QLbl3PrbCXEy9S4cL5DRJrkqYziZXbr99u1bCtrb3HuaDxQVfImwWhRYUb8Brbp7U0hufUWOFTQiiFpO/RkHv2/f0xN9GUS1nOCmJhbeFYWsKJg9igm7sgSelY7oCeE+Nn6SpkKWhjwjDnJlaytoTf5zagD/tefxwpaZOIsHoYaLDksWbgJs2z1f7ccZZpa4XLKI3VgQNxwVKylOTgWEdycSpumeOUxac0wJcM5jn7NGgXjeAKbEnHpz2Xu6yn+99939nhv1cB7Cd8NnIBr7HvsX2Sc0Ks3MJS7V9tf8KdhpROXqXqf8oVquRqRmT3TJQsN6+/Ht/Ozb90nMQ6InGhc1jHO1hbczTtW1ifHn7YtkwtifW/oWiJMco4pwOwtMixt7QQ2QgUbnk0+7kz0aU8pPnHZtXD/2PCZTRcY+QsGu6zJpZFGiAfdihOtBw+vNfSIrU6aGeAiMqzyhzLSewY7my1VUfAFXA1dTO8zrC01OM/J1y3sNIEzZQzvCnhXmtlrl2tKfWc+seGYivVJ+baBG4cTi42hGjX2hKml1qcgLPanIRcWqW+gvOiz1RaXBFTM9nWirm7hjlSYkU7IQdLy9qjFy2xQbV0oC2RgjWdDPd8TgddY3GJXbvSEoila3Tzzctjv/a1/HEWnHPO8jMM8E0JjxzS1b1yrmeLxe4CEVtb+8U1pz6ULC4cLGaVU1YKKa07vNzzkbOs+P/72/ylRoGcmLDPBb22fCZydbamzZfGfXHT1ZyTElOSPDgxDVorC0cMhO10rt1utYKY9Pjcym2aF1VyBcsIFuA5TZ1ffXVcpEhFi89isXKipWV3t6pdqX5kwxlc1QQT15Qlt1/6vyaPEhJLS4zeszBvfvN+14LQBYUbz5JarpdjceFYSjY2di0tXMtAK2tCLVzxqiljaWApsdqkxHhKgOeer9C/3gVzPv10ujzWfP7zu//ff3+/fGuIPZtE5UFC7l5oLC419SqXpp+vpRVaIjS0v3suOPcwZ/W0JNUn1MS4pBY0qFneOtU/WVCT1lzq1zXXLD9jIqU0mVgT/wbWBllt2NiYTwUqDT65HbJk8MY5x1ESLFyLS8/Zl1BIbG2lV+tySFcE87dx74s/A8O1tHDS5ZxfQ8kSETvOIq9U/kT8yYjcdeK4OqaCS8PgcSCjJFi0/0utLSGaOsypN+GxUjTtO7dMfrlGmfyIwYmd4a6EVjqHs7R9LI/Y4gUpKwzHlSyGlWAZ1VLTC237wZk0OHWqrmyDsb3dzngES0sxpaAR97dxYlwsBt/ch0E7oC3tk1pbcjPTJYtLj87w6NH9K8rEgu8lSx2X3MI0YnKx2E1rsUjHtKTQ3kvJtedaHKT1QIJk4FjjqpYT3qnflBLp3/42r7wSbr01XZ/Ce3PbbbvHbG+PZ3lxL27jvAdBIkxi20vtZs7aLn1WwnNy2zjp11oqOX0BN5azdE2sLUmx58+Pb4kN1muWqY/BFSuxaxm6eZUsKtyXd0rKZYn2vo7sHha6gxHtbTdybUkKqbslWAtkNSGslLnjpA+YZaXkDEKl3yVpc/ZpXcPCNPzPVsRctpwbVk60+OeE+yVCknNsrIGMnRuiFa2Sczi+69pZaCkxKw7R/rro/19y+4pREi65c1q7QkjqWmn71MQsU1yxId0veZa4A/NSOu5YqYAO05fev5pnPzfYatEW+OemypTDDfLdYiYHD+7d39pywelT/fiemNjyy6OJ58mdlxJJuWM56ebgThSMSq1gkRw3Y2BpkaOvFdyG17oR1pSJOzDRpq85PidYUp1f7Hq0GOC94x27qzilZuE2N/cvq1pqsDmzvqltpYGm2+ZbXHLpxZBcR82xOXcXqdUtVkd8WsQWSCkJ8VR910x6cPBjVVw+JcJ6d/vty7Ldd59t2aRcc03axc7/X7Nfkk5IySIiSSM8NiUGrC35GuHKnRVOTWqk9teWO2XNDK0uRESvvbZ7bMnSkhIMUotKSOq++m1CzKIiERZa61Ap8J9jndKKkNEH8H5bZNGOuDR9FouVcw8DcmRPgj84dN8552gGILUDK86glbtNur22MSq515W+W5CymqTcw6TipOZ6xtLxxUpqRkc6mJAinUGV1vHwWbIUH6mJhpJFMBQeqTKn6nnsHrUSVVaTDr774VSURLzmf67Q4ZRLIjBSaYTncOtQLK+cyLdoF0qTCJx2PrZfUme1lpbw2M3N8nm5VbwcGqGS2l66Frl4llZIV8lcVcFCtLz+EmEinTBaUWBpkaOrFaXKFDbgpQadk4YErWDhpqdJQwJX6PnH3HDD8vPRR/PnXH313nOdReXVV5cNT6qmcwQLRyxwhUTpnoX/S/OwFMSSc1IDqZQw8ElZZeZEWH6ivEsal89/Pl3/pOWr2d+L0oBOKmo0giUlRv7X/9p73Gc/Wz4nB0dw5Cx5qeN73WvuoFy6P3V8yfUuZcGV/N7SO2RKgkU7gZCzvoTl0SweUHMeN50QTv0Yta2/7LLlJM7WFt91OEVO2Lv9sLSsPbKa5Q8OuUpZ4tJijaShrJkF4uYRO6bkFuTv83Hft7f119M1wrnGvrTMsT8rlxsAhd+lA4ZSWjFLCyev2oGJdCY0JURS+8O8JHVDgnQWUGptCc/LlWMUS4v1+ZbE6nm4n7OdK1q46Vq4YYVoLBKlCTNN+53bpxn4S9Iupct1T+OUoVS3XH6cQbm2PqXylLQlKaTlDt3SpGgnENz/nPsxFT/5ye7/bnVZSf/h4Aq3FRMtsLTIkT8J2hkSIl7DzvFnluRZys9qRsCCmMjL/e7YYPVXfiW9P0Zq9ii2EhjHJaw0+JF2XBLxwsmrlF8Oy0FvytrAtULkhEvpmZFcs9prlbMs5QS745Of3P0evn/H7yB7d+pf/OLeiQP32Wt1Me7gjTsYiH1y0uHwwAPLT9/iIoFTn2P9hqQt9fOR7uOUsQZO2pzfFx4ba0vc/tjvrbme0kmRXLnDdFIClTt4Lh2bEsQlpH1Xjgcf5B/bgB8dOEBbtBwwnnvmk84/f/84ITaJmmrfORNYAATIakVtwyNpWGupHXxZD3h9uI09Z3AaSyuVvt+g+K5guUDK1MphvktYatCTGgRZCpdYXpyBrKUAkZKbMczd49xgQ/psaTpUzfNfGkjEOrJUOpz6pR1wc65d+BvCsvfsZFMDS+654f81Yt+yTc8Nlrn7OIPY0mC1hVjPIXH/Sp0X+32p82JtiR8XYlGXLZ5Ln1i7qUknV4ZSWlLrDjf9wQfoh2g5WHSlPEVEB924wa3G5r5z61uK3DVaMUvLzk47S8uKXaqz6J4Uq0Yi1lCXGl7pbNlIYsUS6SDVPzaMXXENju8XHHufSrh+f0k8pI4Jf0cMzrGptFvdQ6s6kBpMcb5zG39u56oRlLXiJfUbat3Cap59q/bli18kuvtufr5Sbrpp9zpZXauc6OLWIf+63Xzz8jOMbSlZXLjPbalfyAn/XF7SupwqkySt0vGSCS5p/qnnsHQfSq53YRqa9kKSf1iGln31VO3TxCyI6OCZP/I+WZQm3WqEDFg7ZDUhNwOjqVS5gbd2AGPVQFqmIc0v9pAT6WY0/XNy5zsxwrG0uLKVhEqqE6wRL6X7m1ryuJSPBIs0YvW7NNhK1YecS5m/P4akI7XodFNpaERWj4ERN81e7YQLeA3z1FrZuNeNM1B3x0nbqVK+uXshFf7+tlLeNcdYWZ9KeUvrQnic30a//vru/5ubeaunxeSh9JlJWVZqJzt6MpdyBmzRrmiJCpadnd0JT67VkCtgZnrNOGxv738tkhWwtGRTMZp9yHUmElOwZHCVa5gleVgSDuRSPqLhsSElkeKsKz4nT6bfbM8JuufO1km3lcRLygKUKwsHq0GNI9fxhttzbmSWHbVG4NV2KrlBpeR8bf6c9LllC/d/+cvLzzvusC9XqjxW10+STqmd4uYvKZ/LL1YGzvdc3pb1iJtWrbgp/b5cO1E6LidUue1Qy7aY+3xaui+G5eGmrf3djzyiO8+YBQVWFs2iBK36L7BWyGpNbDkC6excjFLj08KPVDpYmuIBS80+aGbAYttj68ynLC0cccLZF5a3tK0kVnLnWwzuJOeX1u3f2anvtEMrXPh/WMaazkEr3LnXfUp3ME36pf3+/deuNFQi9o4YzaAs95xwrmPKAsgRMLV9Rm6gzhH/GjQTE9p0a+4n10KYe0YXi/x5tb+vd19a6jct0m5xfCuxpWCxtbXfpdzFtrrJT7c/7AdjYjPWf1mN/2YELC1y2tSE2geZ0/CW/GhL5cg9IKVze1AaCMQ66ZTvaLhfu1Qld1vu/9h37nG59LWWlpr7LH2RWe6NyqmGvbTNP9/KXSeWRs1xku1c14KpGaUMXFdAjcAv5e3nF6tnN9+8fP9TuPJRGOty662yvMMyhOXgbEulY4FU9OXOr3W1k4iY3LLxqb6ntm2oQSoARnhm50o4ZojFvKaQTEqnXMQAOIN9rbCoaLk0Sg+AdNawZmYqlUYNOfGR65Bz52jdXPxtGkFSIx446WoGYpL6qXm7ckkQct4kHbPIcBpxzmyrRV2VXMOWM5EW51nkFbuPJ0/uuok5cfof/8HPI3xZZuoZDu+t9BmXtpcuH//4VFsUihMN3Ha39Lxw2kCLOqRxF9JapTj5a9pcP3bVehKv53Pq1wGLyZuWpNy7r72W6OWXiY4d618mIqKjR5ft19bW3hXC/FcfSIAY2QMsLXL61J7aSsrxRy7ll5o5ai2yQjgzobGBQGp2K9UIcBuHGutGTVrcMnHSCGcGOedoBAlRvdtP7nx/yVEfqVtZSrz4+3qjyXfEQYb/O7h1yHX2kjoXPvecyRftrLdGWFoOtKXCK5WPtJ/glKXm/BylsmrrPictibBt1V70aIdKAr8XEutxrF7EXEJ7sblZftm0L15y/RsECzDAtgbVzmxL0q09t9S4a/MsNVCaDrlkOYnFu3AtLKlBkcSCwjmHs72EtAycGXGHZQwCd3a4VIaciOHkY9lBtBzAcc+XuD61oJSPf//Cl7Y6H3Aioq9+df/zGn6GQjxVjpSVg1N2qXhJWVi4+YXcemu9gMqdW9uetxTa0uvHnYCQTlSkRLhGJGvqQ82EX43Y69FmcCdGc653jz7apmw+hw4RveUt+y0nm5tLweTaMv9/t98/XjIpI3V/XlF2dtpZRFq9/2VqZDVEGjdgPWiNwWmkNbPqmnM4M+I1Psquo/P/YseHAyBu2rH/Od9z260Hrpwyc2bDUyKldaPJST8Ve5QSMTFy8TMaameDJb+7lIbF5IKEUnsSq0upeyfNK7Utts/CPax0LuceWc1i104c9RyYOiT1PHVsjYXUapKQU49Sv106uWD523KCPkUrqwvnWYhNOLpze7G1tfel0f7Lo91+9263WNsXHp+iNOm4ZoIF6GhXS3pVylyatYHSPqmHkhuj4CiZqHvNPsQakBohyj3fba8NMOWIFM7gMpZ2DZKBCCcN/zxOHUyhdYfzCYWPdb20mDm2pGU+NYP71Ax3atDIfY657Veq3Pfdt/f7bbfFt0vLJUVr6dQIc4m1ITynleVQ27b6n6Uy+seHx0nFRWmfpatczXFcJK5//vNkKfgluHiVULgQ7b5wemNjuahGSOy8nIDpZfGcCdvbRAcOtEkblpazZzAHj7ltIRYDqhw1rj/cmcuS2w93pjWVvmvQYtaWlIsJN91wW+54yT7NOTWBpA6OWOk90yNJmzsASFlkWqG1HnBIWYKsBjBcJJMgkuseW22H03ZwyiaxtpSsRjHcMf490rQ5nPJoj7FCarnyjw3PLx0v/V2tXZ9iooU7kJYOuCV9Rs/731s0hC7fU5TDdw1zn+ecs7csflsfLn3sv4A69fLp1CRpTDD7nyGtx4pgeOpaA61g6VnxwoFFqwawNLiK+btLrkPK9cwXMeG2Ulk5gqVmUKEZqGvFEdcNTFPWFlaKHCVrXOy4GrgWvxDJSmklYtc4914oi06de/2s2qvQIuie6bvvTp9z++37zw3LFLPkatyWHO6+lu5fSbCkLCyf/zyvTC3aakmaEouN1LpjYW3mYBFjyf1tpTZD2rZz20FLpCKVm0YubsU/Zgpriwv0dzEsoZjwLSxhm8wRLA7uBKlPeE6tm/NgwNIiR9YKcga7scpoKVI0s8qcMpbguE7k8kg1Wlz8gcTGBtHhw8u8tTOemgaEk1YPuAKjJFha19WadDnB9lZIBy7SOibthEuivvYlnSU0bqKlgYo0Hz9dl3bq+JiAKV0fSVyOL17CCRLNAKvlbHrr56UmuDrc37vdTBHWL3/JY865tW5unHZ5imulcY3LHZ86bgT3sM3NZf4x0eLK9eqry8/cC6hjFhOJZaVW5ICVR14TLAVLL7cWR262Ugs34DnWyFmIF3/GljNToxFwEtcHzjXNzaBrKQ3CWgqWmnqcms22DqS3JHWvJIOXkjulT2wlLiKba8K95xo/7dKzaLF8duzalK5LC2F+//3pfc5aRGQTozTlAIZjgYwdFx6vsaZaCcSa80r3T+vCxhUqEtdnzbmadDR1wu+rLa3HOa66av82ZyFxgiL888uda+fCT44YgWCBpUWBztKS+59ojKVlc8fW+KaX4LhWhIOu2kY/dU5YBsnv5CwwEMINFE+5tkipdQnLpTVVnEiIxpVwKjgDZktqYsVyaZaw6kRPniznt1jkrYclt1P/ZXAxtPU8tLhw0Vy7Xudw0a7ypLWu9Bq0+bFWpQEqkc7tjZOu5DgJ0nNz4qNGYMTqQShitM9XDtfe+EH2oUjxLS2xe+IsLuH20meNUPH/H2nyDkxCnaUl9j2H1UCwZmYuNwCwRPISwdTqYhxyHaGmgQ+Du2ODQul1y82cWw/GNYPOXoIgdz9SHZQm+F0rTi2QxqbEkMxkcn4rRxyUqJmx5sS3pZC0VynLixUpF1TLwVXtAL3HAL/WAqCNN7KyIGjzKR0nXYyglbWllL/WGpQSq1LLS6xNCAVLi3ocW90rJVZylpGtrfS1kAgVqWCJfQdrh42lxVFrYWk9C1UaAPR4ILa347Ol2sFjzaBEO2tRc51iv1+Sl8Qdo4eFxarOcAfxVuULxelIlCw20plOf7A4RadXOzMbDjJCwvphLWyJdu+HNoauRKu2v8WERI17q2UdlIqEErEBp+Z8jaiQjCdq72mNC7O0vmvvdwtXsTe+cfd/X4CURIuz+jixErMCcQVKSbCUvq+YpQXuYXLqLS1E5UaA4wJhUY4aeg1mUjM0sWtkPQsekgvgte4QHbWzimHHEWs8c3nMYSa3lKfG/YJ7XIvOUlO3SxYbyTVJnSPBavbW4YuLu+9enh9bRawkWNx2jXBJpUVU/j25GBbHbbeVr1ur50kzsOVaNaWrPvpwry+H1m2zJH2Ny5xmLCGhpk9NxRTG+u/cPeVYo3Judr/yK0Q//jHR00/zyp0jZxHxLS6580pptxIr7vuKiRYgR9bq5V7cF8NarFg1cjUz/bVwG3epRUJLylWt1+Bc6mvvFiAg2ruKlGtstbOEqTwtr4M2La07Cfd4rY++hJyL1CpQElGxehl7d0sp7dRgRzIL3OMldGw27wAAPdtJREFUqyVaCEiLPolzbM1S3q3aV4sg89jqYdz+VRrPpo2xqp3AqbV6WpKbGHQWmsWijVu9L1JilpZYOVNppdLnfHLTc8whtlPEKTp9+lSztFcRuWiptaoQyRpsTgdV27lwHxgLSjMs0vxrG+AwdoWzalWPJayl1//gwd1PTqC/dLUxLRbpSK0KVqJmilgF7api3Dqpnanjxuo4JLOv7nf57zUpdfKxPPwBWSomjfu8pQZ399wTP1+CtWBp2SfFrkFNzJjWNamEZX+V6+dz8ViSfsHqremtvTRibrTcib7csx9bNcw9c75weOwxflk5pCwsoWAJn3+JtSXMJ/aZSrc0FhtFcILJ0Ld0rX3/pWIl1mC0iKOpcQ2Q5K0NFuTCDQ62XnXIRyMW/cbUP/bll3fL5ZeN4ypjLVhaz1hr08/V3RbLUBPZLTMaS5Oz2EWIpeDmCPzU72k1MAsHGz1XQ+Ok20uwWFn5U7PgXDQLaWjqqIWVQxrfV9MHcNr5qcgN1sNxhW/5d+SsaTGB4u+LbbciJ1h8T4XweGn6YV6xz1weubHfyllads78tUp79ZDVynBAmEy1QYPEESstZrVj+XORvpCSU44Q7cxDblaop/uclQn48OHl59bWbgMcm4GWlGXKjtMKiXtHiho/YokI0aZZOxsuRftunZzVJHZcLm0//ZzFpQTn/mxuEt1xR/m4L35RlnbN89VCrHCtLTVtc0zEaIRNSM1gzn85oPsebrOGm27LQSr3xdCOmMiI3TvOS3FjSxxLLepSUgIhFDMxODGuOdHC/d9n5QTK6vD2t7+d/vmf/3nPtt/7vd+jr371q8lzTp8+TXfddRc98MAD9OMf/5je//730x//8R/Te9/7XlHedS1SSzNuqVMqVXrJDFmubC0eHMsXB1oNCiWmbQ2lc7mDkFSnEHMPi/lZa/xzU+Vr8Y6ZGJp8tC4zsQFT6xddSusVdxDZypVAE7CdEjAccjPj4eIEkkDfEqEY4h6fO8diEBy7HlqxInV7IbK9HrFyawS3ROhwrpWFhbBEbd/KvU41VtfY4h+5Z0zjwuoLFz/dhx8ul4/D9dfv/e5bWHLbahdXyAkXTv/q467rygXiz9fScvfdd9NnPvOZs9/f6K9OF+G+++6j+++/n/70T/+ULrvsMvrDP/xD+sVf/EV69tln6bzzzmPnK2uBco2Z25/DImg+9gBYzCZryyOFMyjkwn2ANcKmtfleO1Oa2u+2l6yBqVnoXCOaWoWm10xQz3rLETOtBVcJzmAwPM4CycCTaP81iwlrScyYxK/ecnGFFrPiGsteb7HCTZM7KdTSH1/bL0lnv30srDs9qBE3nN+YcudKWWJcur0WvSlNyklctCR5lcRKS9dz0JzzzjuPLr74Ytaxp0+fpj/6oz+iO+64g64/I6L/7M/+jC666CJ65JFH6Dd/8zfZ+dY/LTVCpcYNKSZYuC+a02D1IFkubVxqUCUDxhaWFovAzJLFLGwMfWEd6zR8E30Mbn2SvCBwaiQunZyBec3qSQ4rMSO1BljkFSIVMz7cZ6T0bqeY1SVXttbERJl0cql0riaYu8aqLnEnKgVhl8rDFeNW7sG5fVJxYj3oHGnygYg3UeBv9/f5C2S4dFo9o5/+dD4+JjYJLRWuqXRL/0vjp1IWmtnT3tJy4sSJPVsPHz5Mh507fQX33nsv/cEf/AFdcskl9PGPf5x+93d/lw4dOhQ99rnnnqMXXniBrrnmmj3l+PCHP0xPPfVUQ9GSs7RoxEmNexk3IJ+Tp6bR0KST6mxavaOlJqCztctczeoxGlO1n2/s2k71slGHtfDRPnO5/TUB8CE1dajVogElNC5Psec8Zw2MxTikyAUEW87i1i6lLD0mtZIhJ40WYiV1nNXqcbnzrY7jnO/+D1dgJJr2NQFWeXHiMvzjHDlrCTffKQbbHGHqu4UtFrzfJKnbqXHb1P3tGnHJJZfs+f6lL32J7rzzzqo0f/u3f5uuuOIKevOb30zf/e536fd///fpueeeoz/5kz+JHv/CCy8QEdFFF120Z/tFF120LzamRH0tkXYsFg22RLBoLAhal5MaEdbyPRYW7xWI7Suh+Q2ahstvbENLi38MZ9DNNZXHZktrZsws3glRSstqgMNZlril9SnnWtWS2okKv46m0D73qaXLra7R/fcvf+ttt8X333df3AWKM4OaOkdahzT1u0Y8c65xa7cwLdxrZbUKm/TYFnD7eW7fXLLAhOn1rgcPPrj8vOmm8rhHOiHNEWIcV7DwuNL+qeuQOaeo3ftUlukeP36cjhw5cnZryspy55130l133ZVN8ZlnnqErr7ySPve5z53ddvnll9Ob3/xm+rVf+zW699576S1veUvy/AMHDuz5fvr06X3bSshqQGwGhkg2SLKY8SotURvLww/OJkp3NK1nRVINooXJP0VNYKfGj1yClVXF6tyWM5ya+9pqaWnOvpDSTKVkBTprS2Lt4Fy7epp20NbK5cXq2Yy5muWIvUmbS0oM+oNDjRCv6Wu0C1VwrIDcGf9euPK7mKvQEmjRfkjFYel5rrX2l9yESy58pXgVaX6pvC1IuYEtFntfKrmx0dYlWjrBDEw4cuTIHtGS4pZbbqFPfOIT2WPe/va3R7d/4AMfICKiH/zgB1HR4mJfXnjhBTp69OjZ7S+++OI+60uJulrCNfFpXMq0+eXcyHLbS/6ptZTcFmpn7jWDzxwtguGmnpWznoktrQiV8nHmdIhWWAkW//jSDKW0flkKmPCeWLgyWsflhIMIi/uduvZaq0Xsei4WRF/7mq4csWNixJZtHkWw+PtKK1JZCd2WSFyBStuk6ZZovchJ6T5p2rpc3cjlt7k5jdU45xZWeka5KyhqxmyO3CqhK8M4q4ddcMEFdMEFF6hy+v73v09EtEeQ+LzjHe+giy++mP7qr/6K3ve+9xER0euvv05/8zd/Q/fee68oL1nryZmByVk5YulJKQ3+c3nmZs/C2bLeHQt3QGuZFwfrpY9zaNPd2NhrSdMMMjWdZCmf1MBUa13SLF0t3c+B6y6X2h9i8Z4KR8+1/aV5pVYPs7gnqdl7jQVGu1IcUTqWRhI3UlqmvJVYIdLHE6XyajUYtaznfqwV0X5RrbmXo68AVbKKOEptcex5y8Woplytwu2WE1dbW/vLG4qW8FUSkmdM6p1SM0Yc0dVyzXj66afpO9/5Dn3kIx+hN73pTfTMM8/Q5z73Obr22mvpbW9729nj3v3ud9NXvvIVuu666+jAgQP0O7/zO3TPPffQu971LnrXu95F99xzD5177rn0yU9+UpS/vLfkigYivVjRzgCn8uUso5tbiccKzmDawtKjHQT1FCia9Gs7aquOXjPb6s8ca6m9F7XXmjt7XBs3lhoQWoqbUbBycUu1GxpLXuo6c65/C9HoPzsjCJbUebXipafgJpKtKuiwWg10ajj3jEhuieFaPMMlj93E6fY20T338H6DhFCExqwsMcEirZPSxUpqFnxYCU5RO0tLm1iZw4cP0ze+8Q2666676LXXXqNLL72UPvOZz9BtQbzjs88+Sy+99NLZ77fddhu98sordPPNN599ueSTTz4pekcLkVS0OP/HkBbB+Jpja+IvUoGsObiDjFJarVb9kTKK24JjxE48d7w/uLO23rVY2jREUk99uC9O1Cz1yvWxHgGuiHIW61QgrwSpi2LsmBShlWaq9qG0bGsKbYyklpz1pWVbVlt+dw1ji5n427n5WdaTFu2eZOVOqSWGa/EMlzx27UFrt+jQ0pISLKnFjvxj/N8UGzft7MhELsdz5/TpdHqgC1dccQV95zvfKR53OrhXBw4coDvvvLN65TLdE2ItUmofVEl5SjOPqSVxJfnWYGHlsQhStMivxZvcrbEasHjrjxMR0ZNPLj9jM2saWg8YLVZRctS8z8LC0jgVJQtR7F0rseMlcH3zU9S8nDNnPbSqr07sS8VXTdyKBS1W0eu5AIojN3iVpqWh9SA+Vq9q4pa4Fhh/nOHqt3Wd/Pzn9wtQl5+/nTsxlIpFCcuemvitiW9ZWcaJaZkLshpy+HB6lRhLYVI7cJU2rrEGxdGr06nxI7fGKv+es4v+TFHLAQm3Hls2vi2DNFsJ7xyamUp/3xyotdpxyLUZ3DpTa/3TWEBy6cXOlVgpLeMnLZC4NPZaIj6VhvsMVwnlzIhbl6nXs56zTEqtMJJ2LRzou+2W442UYPE/Y2VwvytmYU1ZQ7SxuBzLjs+pVssDg7lgF9PC3e9jPWCSvn8jdozEPUXiDsI9prbRsu6cJauCSNPg0HuwYT3TU5qN4mC5XKjFin0lSr8t53KRmwVtMQtnEcc1lZji+uUTtRG+HAuIJDYqNkvt17/UeT3iLDh1oseqjNK6WfvMcJY+bm0NidHqmauxwuRiYcK67VtXnFuYpbXl9tvzosUvq3+cdkymrQOhQMqlNadJKzawtEixiWkJaWUp0ZArb6yTLDVaPi0G1KP56VuUZ7Tf5Ojl1hDOSGs6p5YiJ0bNPeOcW/L5j82ut+i0LGeqQ1rFIWmWNbaeICrF3uXyk6y65whjxEpYtDm1AsGqvnL6sBrcdfWXky1ZV6Z247HOvyS+c5OZEgHjjzlauYURpT1iclaUEqXJCCkxoVKq67C0rD36J19baXsMYKXWoFTjlEtH0yFJByNTdwwtsV4dzW/0prhux47tLYdPbJathMTil0IidHoLy9zy40S6xSlGm4nLuWbU1NGU33zP1dW478Up3WdOmmE64bmSutuzbZBMgKXO0+wnqhtUcuIYrPPk0NJNtiQ4uQKGKD0hE1tN0rdWuuPuv5/olVeI7riDX/4QjptkzMLCeZasVuLLuZ1Zrao4PKeo1Spf7dKdFlkLHnsHxhSz6NqOh+siRlTuZCSNHJdVFikhc/itrVzFYtTWn5wrgxU9ZjdjA4CaQP+asuTSHkEgldqqlm1zaZVFzjLzYVoh/sCOSPfOmVHamZYWPSKbScSSi05s29TvRWo1oM09W9znriRewvrt79Py5S/vL4dP7h7mjo+dZ7GKHMd642+fOt4XTI6sJV0s+A/CSFgJiJqVdmryHZnamIARBn9E/fyyNast1b5UUnqNe9VBjuWEI2IcPVdnG6mOTyGouO/SkaQVCqFw5bC5tY1WaFzwHBqBl5sBl+TdA6tycCZCShNLXAtMrH67T4nFI0bK7at0H8PzfDEVi3eRxA/3CCmYLYhpkaLvBUbtQHrFKYS0WvrT6vdIBRd34DPK75vaPSxWFuk+H+1qLFO8ILQVsRlNq3dh9HQ5CDv91vcjlX4rMSMZwGjdanvEh4wygeLQWFasViAbXaxYU/NCyXB/6pjwdQpuGfxW9Ztbf37rt9LHPfjg/m3c1VlrxMoUy2uDWSC3tHAfipHRxBRYpKlJx2pG12om2dI3uybtEbF8HrTXv+eAtcfzH1tWN+Um1GuxAgvBIxnMcyxSmjxTadS0Odx4DM7KTOFbw1tjdZ1b5V+7Shr3GkrdwEp5c57L1jF7EkruqJxnt9RmhXXcHe+/u0XDYmHrwu+nx136usaNsOeLS4cAlhYpuhow54pT03CX6B1saXFOitJsUgtXuRZi0pKeLoDWbmRzfWZj9S1VB1u80C+GVvDkzkv9JolfuPXiFq3P45TX4mW7VrTsE1oJFkl/F8vD4iWduefSapXCKRadcJQsLP4xMfHi13G3Xfss17qXceEKFosV//w0X3uNnx5YScaytNQOSKcemNXkLzHRc7EcxNQEimt/h8TVyXe90Q7iWtQfq8FgTVzLSBYs7Sy+RrxwaC1wYoQLmuReSidB43o4Jbn7N+XLdi1FUs39rBEMErErzbs23qIFNWlz2wDOgiAlV+uYePGtK7XxW5ubcW+N2mees0SyVrCstSsYLC1S9LVipAHenNBaekqNYU1eMVIipaV7WOp8q/ddaF1gtLRwF6tdarvXgNXit8c629Q2It1va2WdkSxY0tuaIB3EaAR0LaFw6UlpZr1nGVLUDvR6C5aRqX3pb6melCZcXP4W9e2zn11+PvxwvAwh29u7cSs33bR338MPL39jSbBo3cGkdSmcNAdribwGSCpujFFm+Uq0fjgs3MO0rkIcUgPdKRoNq0F3z7K3yksjXkvnj4xEpNTUk56DscUin1+PwbLEpYW7nYNkCdkeSzbnaLFKnSY/R0vLSil/Td6t2uqWYwjJe4Uc3HoSe+b89m1jw7Z95giH3IRJSrC0qkep9OfWZ4k4Re0sInhPi00nVjp2FWIWatLnXuNWVpbUoKJnEGopNmNk4TulqBv5uvRmCutACleW8NPHtyyMYHlZ6YEC2S7iUHuvauNGWgqW2iDuFi66U7R3GotszhITcwU7eXLv/1/7GtGtt+rKK3GpdO2Nb53xz7cKCVhFKx3ojk3PZLmOfm9RY+XCZHmOthOyuDapwV7NIFB6jUoCJmeObuX/PodBXKs6YYnm+U4NfiSDl54zt5rn13cTyb2LxgKuL34LcvdsSvGtmWF3tLpXWrEivZex8lut4sS9py36UR+rOhW7LqU6Uopfi62QaDXAr3lvElF+oiWkxep2c+h3qzhF7SwisLSUiT181ljNoPYQWJLjLcsjfVeHxrLRc5Cjna2bsm6MQsuBYG93u5oV7Upp56gVRW6/PwAIf4//vXU8x0grcsXQTFpwqIl5IuoXY9NrgKcVW1qBMXU/4rBuCyV1JGZ9cddmsahf8tjxqU8R/fmf84/PxeDVuIMBYIx9i5GzurSY7ZxqgCmdadKcXyM0JJSEYMsGn4N2UDpn8WF9zWusMKOIE865Ia2uncW54T3263nrwfLUweYtZ+ClaXHrCEdMSO+V5o31nO01A0krC471+Va0tEhz3Q5D64tr9zY3l3+vvmpfFqL8M8AZs2nqleU7hFYOrB4mRVZT3v9+oiNHdr8/9VT62NhDYOFqNAItBYu12V1DaVZ7qvs1tXjqRVgHWt3rUTsKC3ew8BzpebVoJg7C9jF8p4MFU63IlWLK9sQvg09NeVr47Uv6iyndY6d076ulVtCm4Ew+hC+Y3N7evY8PPrj87lYFk3DDDcvPRx/lWYJL26YQLD28d8CsqKsNJXNvqsLNsVGToBEl2geT01Fo3F9G9T0Py7BOjHDdR6CF5c3qmubyiL1LyM87/F0tBFfsjdxE07qLaX+npA1okW6POsM9j/sW9Jxo1biclc6Ze1tl2WbkBExLF6tWlrMSsLAwgKVFShv3MI5wmTO539RTsFilMaplRcKq1bEco4gXjRiWpC1xHbJc4rsFnHYhJV5K53PJXSNOnEuPJYBb3YcW1v1RXJP9+1IaKFq4o3H3+8dM3Va1oKb9Sa1GFhOfJ08uV/ba3t7/LhUp2jpr8WZ7Las4hgRqZDXh//wfoje8oXxcTLgQTVPx1ikOAswfSf2bSlDWuEe2Ku+oFl3p/SRq50br15fYoKn0zoYUmlniqRcCmNpKY0VKsNS6O1m4MMfO0dTh1oLdAq2AiVlffItsmJZWvNRcwxbLYUuBcAFnaFcLcjEtZ3OvyL5VI1Qzu2nd0I9A6jqPMCCMURtvJGGEa9DbFaP2ukkG4rWibEo3lVrLp09u0qd2Zb1wpbJeKwGN4JbGxbLtll7f3PWJCZZYPFyqTyutxsfdLmEU65Sj9aqKGgETW/Lc3UdNTJorj8WzbSlUpHVhe3uMPtcUuIdJaduClCwso1fAHup+jmJm9Ps2x2tqQWvLS4vrWpqBtfpNLdyDOPlIj9XGl3FI/ebWSyznSL3DQnN+jtbiyDpIOZx1J9r7G0r5+fUiNYiOCRxOeqtE63ZBI2A472v68z+P12l/zLWxQXTOObv/+2lzcHWw9+ISAGSQ1RyndDUKmWieFZX7e9exwQfj0cJNqkf95Q7Mpw5+tmBjQzabbeUu5gvAksVlClpaeXq+S4I7yCv1Ge7exARMmFdKpKTytHAT4x43+iSXT8vfIX1+U0sWpyZy/BXItrZ2j93aipdBkz8wBpYWKbqeW+tCNWfx4jP38odIGuM5dUBgSU1HPFpdX5XBkYTUQFMTJ5CzXI0gXOaKhVCJHbu9nQ7a5ryHI1d3alaclBw3pZumJdaLCnDTc8+lH3Pmzs25dvoWlth9muq+jNangFlRX3s0QmSUhsvq4dFaWUZ/eEe4T6N2eK19oXsxWh1sFbA7dd3xBxA1aRDpYgPDiaacxUVDSuy0eCFjayxmmEv3hHvP/PuTKldpQOp/57iHWZSde+7Uz6UG69/A6eP8e++/1yU817+HGxvL8yTCsueCBYCIThPRqYZprx6sGrRzRt0////+Hx356U8TKc20MnIGErEZjNx3btojXLNUI5XyAe/VyQgHoMdfeIGIiH74wgt0/nnntSpVtgzVjFAfRqFVPZsi8PtMO2BWR7W/ITwvvMZTDyC1+UtFm+Z8y7JoJ/hKrpP+/7m+J1F/jv/rvxIR0Q//9V/j9bOli90cFmTIYf3s5NJz+9w1C6+du0+HDy8/R5lQNnjOTvzXfxHR7pgUrB8HTp8+XZRjzzzzDF111VU9ygMAAAAAAECU7373u/TzP//zUxdDzYkTJ+hNb3oTET1JRIzXiKj4LyK6hl566SU6cuRIozz6w5K+73znO4mI6Pj//t905NxzDXNXKO/aFXSk5dBaWazcwmpX1ykhWdJ4VL/X7W16/sUX6b0f/zgd/8u/pCOcdwnVACvLdExtDajg+RdfpPf+j/9Bxx97LF1HJQsp1LQHHCvLjK+1KZbuUJJ0uZawXBA+56WhZ3j+xRfpvf/zf9Lxv/iL9m3oaLSu61bpWy+goE2fi3G/duKnP6VLPvGJs2NSsH6watTGmYHzkXPPnb4xcybPGNIHRGPK54gWyziWljEd0newjCpaiOjIa68tP9/0Jjrir5bSAoiW8RlwwH3kjGvDkTe8gY688Y37D5AOYkvbOW1Hyf1Ikl8Obv1u6SLWE2kfkLtXmoFqKv9MWq5vP/KGN0zfz49Ei7ZktPbJlSc3vpKgmcwVXJONnqsBNgWrh0kZrKWvwFqwtOgER+tYR6bmHTmllXHA6rMKAb9crAJtucG4kgFxi4mkkdH0K7GJsNTCCdp8gZ4WQeq9At+nQDqR6x+zitcDmDLvlm4OQqWWdX6Ia5bInlMDOGK9WzUUM8/dkC4vW1PmMI3cqlKa98CsK9q+Jbdd82oBbjm0dUj7uoNVoKV4cfRuj1r+ltQ2ThojtMtdgKVFyjxbHSux0nMWcLQGfk6NglS8zOm3jVYv1o2pBw1aQU5kP+CQvstjFbG+tjWuwpKyaPqy2vdz1VjDQZyW7uA+rcVKbjsAFcyvVtUuKVkzSNCmNaeHt+Q+MuUghrMMZI/yTX0dQDtaPqsu7cXCJh9OGqV4l5IbkmRhgKmxvHcl3/saq/0oLnOcdoyzf079mwW9rAE1bpicvtICiXUF/WYEWFqk2Lc2LVb34qRh4frVayABAABcagZJpZnblBtSr/eazBFrV7ARaTW47H0Nerx3ZDTr7GiCRXrPIWxABpsWRDJbY91oaWa0IE70YLZkicV1WNc6BPj4daTWlS1VZy3jWtadmkFbb6vWwKtBNsm3pxCb6rkZSbCkjulVxllw6sxfq7RXj/qWRFrJNMHVEvFh7RpWW55VBMKlnnWpK0BPjfVY4haW2zd1zM+c4AzauOf623svubu9vX/pW+2iKCO1cz2FeK/YFJ+pBEtNvfdB2wIY1LUoNZWs1hdW6ktpxUiNsBaLxgHCBYBxKQ3QpOIl3JdLex1pIVj8/VbXWjvJ6H+feyxn775rlfpKCzd84IGYFin6GmbxEFoF8bUWK+v0IEoaWLiQgFGRBLGuMlzxEjuGEw/Tmjncr5aChchmeWIOO94gpzRrH6sb69RPjsYUiwJo631sjDGH5xwMwfStjEa49Aiqn7MZvBbpzBDECxgJjovo6HW1Rexf6TePaGEZ3bLTWrBo0FwnjQVmzn3eKlk/WlMSLBxBg2ud4BS1s4ggpmWXKQP4uMFe3PQs4K7mMedGnsO6dQTr9nvngMZ1ZbR7aOGCwbWMaJZPHSnweEqs3ZtDat+joj0nFtOSO98Xu6vex0mY8zOhsazg3oMOyGtZq6DAHq5cUz9Uc2rUtQPyVgP5UX1pIVzmzyj3cIo6zBFvHOvUurnjSSfLWtLasiKZdPP7uBZxq3OpT3MpZwyNJ8tcxjXDgZgWKbKaxp2BOXkyvn1zU5SdeKA6RUciTb/l8s9cuIO0GuFCpHMxq2Wx4Kc1544lBdcFaBVpMfNt+by68yV1tDav2mewdiWxVRIzFhNi1m2TlTVme3vv/tixKatcWEdqhIukz7dYcn6qBQ5GReIKJr2vtdcorKNgLbHvOVOCxYLcAzPSzBdYwvWRnwLrJSCnbExrBy5T3wsLWv2GuV+b2hgezjPcwyI75fM19zpAJFsOlzs56Y4NhUQoXFadEQbSPfogrWCxYIRr3AS8p0VKfc1rJVJyomRVfCunbNhbW1vCNKZg1Ze1nPssYQ+X0FVD+1trYyhyM9wtrSmjixVLK4Kj52/m5CXp433BohEwEle0qSeLiKbPn0NNGUcYW83hGoNu9KmBJbcwiUl4hIfIp1Z4zGFGaoTOQcKcyrrOWCxQMfqzMye4lpNeEx6rJFiI5tHWh3AEiztmczMtWKS/ndM2oJ235Zpr9n4/dmz3/3WYeJwExLRIkddEq3iVHFwfSq6AaR3QN1eXm7mJkRS+r+sq/J4Sq/Yb12V1PQt6DHw5cQO1sQUSd6VetBAqIbn7N9JzHevndzKDoI2N+DmhcHHbuPRweRrpultj7QYNwMTU18JascJ1A7MULOH2ViuiccrhjkWDoGOVOxwumlWdpkgTzA/OoG7OAc0t3LtKjNRmce9dTrC4/Rsb+7fHLC2YpBiL0MLSgpHq/FDA0iJF1mpsbxMdOrT839KycrY0DMHCDbjXdEYtH6xRhUnP2BZLWs3Uau7RlD7opbxLAwTLWfKWs9BgNRjBwiKtY6PWSenKcNrrGwqW1IRcSdiEx4erjs2RUfpF7mpvISX3P26b3GPiFwCSipbFop0bmPaYWsEC5gV3kG6ZvrU7h5X1Q7v6EqejlVgKw3N6Pn8thU7v+ztXUtdptNXBprCqjETquY9t39zcHdBubOwVJOHx4XPvrC4nT+bjXHymtL6MIjy0SAVLSag8+eTyc7Eguvrqvfu++11eHinmfJ2bAEuLlHYtRM1slvtfGoA/545m9JXEpm5sSgOjWCfKofcsUst7zBVcmlm5HrOiUz+/LVycpv5NUzE3wTK3+1QjqLnthES4+GVaLHjCJZbvHF3H5iB6ckLl8cd3/9/c5LmLWVpMR792YChsWwZtQ1MSLKAtIzca0llcrotCmE6P+mYZX5IbeIw2YORQc/1H+Q0xtGK6lOYo7eMc6lruWo1yHSXUXsdUOxHre0vCJVemnHBx56+KeJlKuHD6BsvXUlhYVUvHj9yem3OK2llE8J6WQkqGgqWU7qpZWRwjDUamRtKobW+nxYrGzakFrQVL7vyeqxWh/pbZ3q63xozQVsxhcAHBosMfhIfChWh/e+sf79fNlHAJj8uJl7ncp97CxUqwfOxj5WOeekpfBglzaFPApOhbA25DkpuN0VhYWjZgczDzTkHLa8JNm9s4hgPC1Dm9Z/ZSZUqVo4bcb6hJf9UGgFxy18zid48irGNY+a1bzdBaMdI1LjHlNYoJF6K4eCld05Rw8c+NtcO9XFNbt705LPIuCZbUCm+1+Ui2gYBT1M4iAkvLmTMqguettoN+tPDzrz1XYmnJpTlC/Zp6Zq6ExWIZHKzjkGqRimnLMnHTbF2HNS4cGKjY0CvOR5JPKFyI9ruMxYgNlrXPzSjttjVS197ScTHBcu218nLl8kQbACZA9vS3mGlNuYdJXcCsGjNYW+ppJXS4jWaJHvWoJdzgesv0a46zhmu14pxjRSvxwhEuknxbzOhab7dg9Gd4hD6GU4awP3Srh8asLkRlAePOc+nE4lzCsvWyio/Q93PES6kf9O+NdDKPk2dNPErJXa3FqzSGBquHSal/6msaDivB4oBwkWMdEDeyYBl9IFODJgg/lYbVcVo0oiR3Xk+sRS83vdJxLcVKbt8I9yRkNLE9R2JWF6K45aXkkpSKc4nt52wHNhw7lnbTS4nK2rGTcyGMsVjgfoMOMS2c87mdMufY0fzDp85fi7Thqe2QuYMe7uxgbVla3LfWsRF+OrG8NHlIzsnFr8WorWOjPlvWA3iJcGmB5vdYT4ZwGa1OjCpUpO6YseP9wWXK8pIiHJzm4lxS28LzLBh9wlJjZWnlms1x6w/PDwVJaHkrpQfWnjYxLTVpWPtx956NWccHrIVg0VpWRrr+kuti7fJQ0/l+8IO7//svE+PQQqysGtvbOreu3nW7hShZl3u/ar+z1J6kLC85csIl9j3FqllctBN4tW5hx47pypWDU29K5680cA+TclB0tIV1JUxDk6bf6XOPl+LKKv2bC7lryL1e0vsQOzfWEIdm6JKFYrHYO7tncY9S5Qv35f5awf09Iwxyw2vy6qt9rtFckNQZy2umqb/aff4xLZA82z1cG0ev19ryla7d5qY8JuHkyb2D7VL7X6p/FsypH4/hCxbL9sJH0r9qxkZzG0+tEd/61rfowIED0b9nnnkmed6NN9647/gPfOAD4vz71IpWlpFWx646U86ESvIulSV2PzmuCVIrRK9BSKl+5szxrcp41VXLT2dxcd8dEktMarCB53IXzvWouWaaesIRUy3y5YC6I6NHWxYL1i8Bq8sS7URi6VpbuoiVSPVH3H5qzvdPzPwsLR/84AfpX/7lX/Zs+8IXvkB//dd/TVdeeWX23F/6pV+ihx566Oz3Q4cOifNvVztGmPXiYO2WMzJWYsXy2NRANkfMWpcSK6kYj1zshxSNuOIew62XI/hi+wMGrgDVCrVaUunWWA5LuBnQnZ18u8Npk7jXs9XvkVhjWzFamz3181fConySdkYqXmIri7k83ffY/yFzFy4c/HuQcguT3m/u8SlvGf/8Ur8by3PV79mKcOjQIbr44ovPfj958iQ99thjdMstt9CBAwey5x4+fHjPuRra1JJelU+aj3bgNHesBiDWx1oIlpArryQ6ciS+73vfsx1YtHZHkFooOdu0hBaW0vbUG5RDtreJPvSh9H5pTE0JjkjqOfjMddqaCZVWAxXNOaMJlpbt/DoIFof0GdGIl1yQfmvhMtq9lHoghFx/fV3+uWB5/xrH6kWprkju0Uq6jLW3tJw4cWLP1sOHD9Phw4fNcnnsscfo3/7t3+jGG28sHvutb32LLrzwQjr//PPpwx/+MH35y1+mCy+8UJSffQ1YuUpVgWY2V/rQ1zAnsWJFOAOksbi0FCtWz89IHW/vsljE3hHJyh17TsPv/mo+pec8dI2Jla+WqZ7/WkYTLCPT2i1PI16IygLG37+5mRYh1sJlynazNu/aWBbOPXH3MBe/kmuvNOVa12fXiEsuuWTP9y996Ut05513mqX/9a9/nT760Y/uyyfkl3/5l+njH/84XXrppfTcc8/RF77wBbr66qvpb//2b0UiyrY2SFXzCExRDokQadGIzlmsuOPD2fnnny+fe8UVy8/vfU8vXqQDWcm+mpnB0OLBtXT4+KuG1RJL69vf3vs9Z2FxhDE1OXKuVrE0HS5td76rJ1rcta+ZcCi5j7Vqt2rbm5HEMtAh7cc191yy2pgbLLt6L6n/EmvliHW3JpZFamH52MeWn48/Ht/PXWQhVyek9WWUcWIzTp35a5U20fHjx+mI532SEgh33nkn3XXXXdkUn3nmmT1xK88//zw98cQT9OijjxZL8+u//utn//+5n/s5uvLKK+nSSy+lxx9/nK4X1FW7GjFF5artvKd8IKZ0Q7E+nnPslNaVHKkZ7prySsVK6ZwYpYG1pQCxgiNSUnAXANAIDokw4pC69jlhnRpcaWaYtbSM5wF8al1kOWlYop1Jl7iN1QiXsFxWcV+WaCYxLQVLiLPahLGiXBetXD/KmSBcebHSjyNHjuwRLSluueUW+sQnPpE95u1vf/ue7w899BC95S1voWuvvVZcrqNHj9Kll15K//iP/yg6z6ZmTFnBNH7fo9BLuEzpBpI6xtKiUQvXFzfVOfcItAdlRhh8cKj1zR6hzszlWjtG6ydGcPnNoV2oRLN4BNdtLPW2dOm9nUvdlcSyWC9z7IsV3yXM/wz/lwqUUZ7FSTlF7WJaZBacCy64gC644AL28adPn6aHHnqIPv3pT9OmdKlzIvr3f/93On78OB09elR0Xn2tGcW/mPOgrttD0soFrTZdSUxP+P2aa3h55whn42PuYkRlM3cJjcWlRK3r0qqQWgBgtDRjvP/9exeLyLnyWbWvqUGDdlIB7DJCvE/L2JUWMXw5AcNZvjdmbWnpNjkyOztEipnuJKmA+/Daxr6X+ku0KyvDsWPH6LnnnqPf+I3fiO5/97vfTV/5ylfouuuuo5dffpnuvPNO+tVf/VU6evQo/dM//RPdfvvtdMEFF9B1110nylf/hLdeiaV14zNK49bC2lJjAZki3Vw60rcsWyNZTGGUOgXmS43QLZ27KgOGmv5hNIsLB80EieW9blF3cuXNuY2V3MTm2C5zXJFTbmE7DWbpU+IkZmlJndtKvIx+L8XM7z0tjq9//ev0wQ9+kN7znvdE9z/77LP00ksvERHRxsYG/f3f/z09/PDD9J//+Z909OhR+shHPkLf+MY36LzzzhPlK6sBtW4NLg2wl54DihZixVqoOCysKhwk1oswaFsDdxDirgesK6uNHwOjjauR1qm5M9dZ9V6ByNYz261nymPpc4P1S0J0ZKFaMxHYQrA4SsKFe75WvKTyee01Xv6gOY888kh2/+nTp8/+f84559ATTzxhkm/fp3jERmMEWg36a/JpObiJddyrMpjiwBlwrdP1AGlqrCu1+basgxZBuDWDUcuBrEaI9HJnnrt4iVldNNZ3bX2eYsySKmfMwtLiPpRiVyRWvblbwZozX0vLVIxbY7SdijRAuiW9BqeWbltTDpavvnq6vLlw4x4sVqKChWX9cPXre99rk/4I1hbu5IpEvEzd1ksZ4T7UMEL5Yy+h9IkNmGvGE7F0WxPLPxQsVvfh2LHlZ+hRkxMs/rZSOUaoM2D2jN/Sz72STxGvIjm+tnw1vqkjCUxruGbxVfvdoB/WVoLcM9lrciV2POd35gaspfOmsLa4c3rRwkJiVX7OqlOpOJfSamOO0upGkt+irWu5NGLbwziWlFixjPv0BUtJrMTO9cuVOyZk7uM8NbC0SOnXamJwVs8UgiUnLGobmpr3dsyV3CAJlhXg8F+Eas0UM541+WkEPiYF4ow4292jTH4Av8vTRxpb0ZOYKNne3t2+s0P04IN79990kzyf1G+VXgONQIa7NGDS54kc4cEPSQ0eR/V7tYpHqREyaDj45DrB1Mw2AFNQqodTWWNT6ViLlymtLVNgbUGzIFUmrsXFJxWgvrOz+/4Rd37KApMaeOfGDDV1KBXj6QsTt+2VV/Zus7S4lFYKs4xn0ZQrfNnl7IGlRYrsKdvYkDXMI4oVnyk7U036tcdZuoql3vr91FP5hn7EN7W3IGZF+va39w6Q5uiLD/qisb793d/p87MeeI8yKC6xrs9i68B6DZw6yF1ZLCR803tKvOQsMrX1RNoPx14c6QsWK/cwzaIfmkUlRqprYHbonr5RGncL31JLLGM0rCwrpf09Ym7QSO0lFC5E09ddsN6UYls0z3Cr517TzvayuMzF2hKyWIw1i52Kr/K3pawu7nfklgQO94ViJlUmVwatxaXUP4ZxLP52Z2F57bVdseJbYHJ5SJDGtEiFL1zBPE6R9M31srRXj/mOlFIP/yiDP+1gtGfcijSvdbGStMJZX0KLC64rsOTyy/d+j1leSoNrK+EyN9ZZuIxG7DrGtnFcxrj4LmQuzZgLmdVYoyRYQlHyqU/F07nvvvqypOD+Tqt6bx07C1aKQUb4TFpW3laxLFOWObUf1pAxGElkA1ASKiO6EknhPHNWwsWlNTdGapNi1zF1bUOXMY7FJUbMhSwWxG/ZfsdiWPztpXpk7SKm/V0t3MCkq5jNilPULvYElpbpKkzrhl+b/pSuPbVlzqUTbpO8PyWM5fj2t/nnrhvruHoa6E/K8sKZyU4dQ1Rug6wWOuGka4ll+nMVL3OwFqWsLjF3MalwqXGVK7mPpb7nBEtJlNxxh7ycHHKCQfr8j16fwCyQt869K+IcgkJXJS4hZaoGAKwPXAuL5dKmJVc1K6Zqo+cqXkYhVwe5woWoLF5SYsV3E+MsphJuTwmWmIXFBdiH21uTWzksFYRPZBfL4lirZwSrh0mpb8GlQWcSelVevB+jHbAm7AfXBEyJs7zkVhnLueWktte01z3EBCePHlacOQzKRi2jJM4lZp3QWlBKL6e0IIxf8QXLpz/dPv8U3FXFWriDWaYLVoK2LXRN5bOoqByfUwgWAMA64sRL7gWWkhnuUQcbkkDiHsDqYo9EuEgpBeJz3cFS+G+7JyK6/np5Ga2oiWlpVa9XOqYFlhYp8piWmkCrKRprdAwAAFBHrN0viZQp3EFqBlu9GVW8bG8THT7cN0+J4JVYq7gri0ktKVYrh4XLGk9JzgWsNh2i6X8fWAnqnrxWM2stK/dVV7VLGwAA5obE2vy975VjXGL7ckwtGqZmVPEyJdZudK3duyQriY1+n3PWFotJ6xijX5Nm4D0tUmxbbW6FbunXWwqAAwAAoIPrEjPqbOsoQiXG1OKlR7C3FdzYFsv8LIgtYezHsoz6fHCsMK1i2qa+JmAo2rXg2gbEKpYlBC/wAwCAOmJB/Jxg/dj+1DEtGFmsjMCIA8MRFi1Y13qjiSNBTIsCxLRIqYtpIZrOosJl6vwBAGCVSfUJHIv3yg1CDOhpcbF631eI9L5K3Kt60bo8YQA+530sLWkZ04JxGDDCZsnjUSvk9jaWlwUAAGtSL6wkyq8sNmpfsY609ISwECG5vGL7pl7QYe5wlkLXApf9BLC0SLF5MnMdUm9RgwcCAAD6Eg5KOMH6UtC229Hj9QPSly6PZG3hlkVSXj9uJVw1zG0bIa6ox7uKUuAZBwXsA/FHqXSwsAAAwLRYWlgwW2vDiO9La5FvDCcWLFYT0wqW2HZXru1togceWH7/rd+qL2MNpaD8Fvdo7Z5xWFqkTDet0ULgrEUlBwCAwfDb89KLJ60FTIo59wctyt5brITpWd0zadlicSKxbaGQyZXZ4rc4q8r29u4KYiNZXGLkguJbBuDntoG1wr4G1IoR7flYHQwAAMan12zqXGdtRxAsvV8uWUvq90kC20+e5AuXkgjLxdz4osSJlFCwjFhfS4IBcWsKTlE7iwje07K7eljrSll6OPBQAADAWITWFiLbVaYs3gMxct8xtVhpTauYFQvBEp7jixdpuUuCxd/mi5STJ4lee23MVcS0549U/8BKoKudUuFiLXRgVQEAgPFpEdMyhSW/NSO4So94XUK0ZfzYx9L7Hnts9/+NjeVnaHWxdG9zx/luYU6wvPLKcv9rr/HSGR0sfwyM0UvqURt/AAAA05DqF1q8PVubxmh9l2VZRhcrNdYWSTm1lgrntrWxURYuEoES5uG7hb3yyq6Fxe179VVd+ecALDEep6idGxfcwwSpJgIxa9fuv+qq+rIBAABoB0cUWAxcRhMfUtZJrPTimmvk51x77fLzm9/crZc7OzzhksO/vk5E+QH2n/pU/Lzbbluee+utuxaZBx7g5dmKVgHwEDBASF1NtOo0SuIFYgUAAMbhH/4hv1/SN9S8t2FuwmUV3MA4lrS54sdkOeESE0LHjvHSIdpv9Sld//vu27/tppuWZZpavLRkDnFn5mDJYyntWhqutUWyHwAAwDywikEppTFyv9GqXNJ0WwiVcH/Ll0im8re2VoX1LZdvqW76YsVfLUwbaD9VHe8tSEd+nsHk9J8ekVRIWFgAAGB6SpaVHD1cwUYZ6LQuw2hiJTy25+pg1txwA//YlBva44/v/e6LFfcpycfx4IPyc2qZ0no2yvPcHFhapExTK9emQgIAADhLyxfS9epXevddUuFgkZ82HWvhMrdxQvhSSL/8c/kt3PuHlcHABEwnpf0O5oorJisGAACABJzYFaI6C4rPyNaUKfLWrlClOWcuq4jF0ATgt8AP6vdZl8H81M/o7IClRUpb0ZKrwKjYAAAwP2KDTSsLSkkETeEmNqplhXPclEKrx0uiR10AYJ3HN1gRDDSk7ROPCgsAAKuBZIA45UpAc53ttXQDm+PvXyU0cSurSM2zONfnWAQsLVL6T1NMaZIGAADAp3YmW2uBGWXAMlKMTO4461W0OKtb+e8vSaVDNK41BPQBwgUY0q41iVU0CBYAABiP//t/py4Bn1UJuLeyrHDS4YgQl85HP0p05Mju9nBFLD/NknABgAjiI8kpamcROdUo3WlpI1pKggWVFwAAVgNpMH3pmFXF+kWQnPeDtMbPKyVgYHEBRHrhss5tBthHn1YkVtnwDhYAABgD7VvOU0H5c3+TvVXZatIZRbB87GPLz5TFxc87Z3lp9R4XYMt//++7/8/JAjtLTlE7iwgsLTrgEgYAAPOjNMgs7WspXFqKHmuLiGVaWrESvj9Ee0yJkuVFK47BalD7zG9s2JYHzI6+rQUECwAAzIea2fFa4dJKmPQSGNbpxfZZiBUuzuLCoWSV8YEFZlx8qwuRjeVldCtrV3aI6GDDtFcP+5YCsSsAALA6jCpcpnwny9RihSgtWHJCJZePpcAh2i0fJ1gfcS/zo3W7AECEuhZC0hnhrfcAADAmJbedKYWLJbWrcPUWSRLBUhId7m3tRPvf2H799UTPP58/X4LEKvPkk/X5HTu29/vVV9enCfYTWl4cP/yhPC0IF4KlRU67aY3LL2+WNAAAgMaEs9+1wsVPM3VMSjyNMLgZVbBIBILj+uvl57Timmvi20MhAsblbW9bfkrFC1YGA0JgiwUAgHUnZ2mxjDmoWfa05cCm9Ysbrd7J0nM546lBrMt6IHk2rF0YJweWFil2LcLP/qxZUgAAADriLON/93f543IDydCdLIVlnIqFmEmd3ypdLSdP6qwqAPTCWVxiaFzIAAjANAYAAIAloSCpdQcjauvyVWvB4G6ryZcLXGTAqtPqvUWzBe9pkWIjWmBlAQCA1cGJjssui++XLH06QqxKb4HEBQHjaVysy7Fj6euEuJf54KwweGGlR8v2bxVFXq1ogb8pAACsDq5NL7XtUotMrUCxignJHaO1umjLAAAos4LP0qFDh+jiiy+mF17466b5XHzxxXTo0KGmefSmTnWkZuEAAADMD9emt5gNtbasTCE8JGmlVsUCMnLWKFiq5odbNnmNLS5bW1v03HPP0euvv940n0OHDtHW1lbTPHoDUwkAAID9SK0tragRJ+E2btB96SXJuVW8OC9TBADkWUELi8/W1tbKCYoeyHqdd76T6MiRRkUBAAAwBG42tPeKP1MMVLjChoi35PA6LUsMgJbUiypznDhhXw4wK2BpAQAAIMPCysIRC1YWFYtVwpwYWbl3RQAAwDyAaAEAABBH+6brGFIrCvd4jXWm5CbGiZX45jfl+QIAAFAD0QIAAICPxspi5fYltahIXL9qy0IE1zAAAGgIRAsAAIA8uTddO370I356IwbZbm/LVqO64YZ2ZQEAALAPiBYAAAB96fFiSau4FgAAAENwcOoCAAAAWAHe+tblnxWtl1SGYAEAgFkBSwsAAIC2xCwr4TbtMVI+9KG68wEAAEwCLC0AAADaE7OchNsWi/i2VvkDAACYDWjFAQAA9CFlTSHKW1Tc95/92fZlBAAAMCQQLQAAAPrhWzxCYeJvz30HAACwdqAXAAAAYIcLxn/xxeVnKgbFMmgfAADAygPRAgAAoB2hhQSrdgEAAFAA0QIAAMCeCy+cugQAAABWCKweBgAAAAAAABgaiBYAAAAAAADA0EC0AAAAAAAAAIYGogUAAAAAAAAwNBAtAAAAAAAAgKGBaAEAAAAAAAAMDUQLAAAAAAAAYGggWgAAAAAAAABDA9ECAAAAAAAAGBqIFgAAAAAAAMDQQLQAAAAAAAAAhgaiBQAAAAAAADA0EC0AAAAAAACAoYFoAQAAAAAAAAwNRAsAAAAAAABgaCBaAAAAAAAAAEMD0QIAAAAAAAAYGogWAAAAAAAAwNBAtAAAAAAAAACGBqIFAAAAAAAAMDQQLQAAAAAAAIChgWgBAAAAAAAADA1ECwAAAAAAAGBoIFoAAAAAAAAAQwPRAgAAAAAAABgaiBYAAAAAAADA0EC0AAAAAAAAAIYGogUAAAAAAAAwNBAtAAAAAAAAgKGBaAEAAAAAAAAMDUQLAAAAAAAAYGggWgAAAAAAAABDA9ECAAAAAAAAGBqIFgAAAAAAAMDQQLQAAAAAAAAAhgaiBQAAAAAAADA0EC0AAAAAAACAoYFoAQAAAAAAAAwNRAsAAAAAAABgaCBaAAAAAAAAAEMD0QIAAAAAAAAYGogWAAAAAAAAwNBAtAAAAAAAAACGBqIFAAAAAAAAMDQQLQAAAAAAAIChgWgBAAAAAAAADA1ECwAAAAAAAGBoIFoAAAAAAAAAQwPRAgAAAAAAABgaiBYAAAAAAADA0EC0AAAAAAAAAIYGogUAAAAAAAAwNBAtAAAAAAAAgKGBaAEAAAAAAAAMDUQLAAAAAAAAYGggWgAAAAAAAABDA9ECAAAAAAAAGBqIFgAAAAAAAMDQQLQAAAAAAAAAhgaiBQAAAAAAADA0EC0AAAAAAACAoVlwDjp9+jQREZ04caJpYQDQ4uom6igYFdRRMDKon2B0XN10Y1Kwfhw4zbj7zz//PF1yySU9ygMAAAAAAECU48eP08/8zM9MXQwwASzRcurUKfrRj35E5513Hh04cKBHuQAQsbOzQz/4wQ/one98J21sbExdHAD2gToKRgb1E4zO6dOn6Sc/+Qm99a1vpYMHEd2wjrBECwAAAAAAAABMBaQqAAAAAAAAYGggWgAAAAAAAABDA9ECAAAAAAAAGBqIFgAAAAAAAMDQQLQAAAAAAAAAhgaiBQAAAAAAADA0EC0AAAAAAACAofn/zstM1/9a8lUAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x876.667 with 17 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# # plot global tiles map of specific volume anomaly in topmost layer (k=0)\n",
    "\n",
    "# k index (depth level) to plot\n",
    "k_plot = 0\n",
    "\n",
    "# 13 tiles map\n",
    "curr_obj = ecco.plot_tiles(specvol_anom.isel(k=k_plot).squeeze(),\\\n",
    "                            cmap='seismic',show_colorbar=True,fig_size=10,\\\n",
    "                            layout='latlon',rotate_to_latlon=True,\\\n",
    "                            show_tile_labels=False,\\\n",
    "                            Arctic_cap_tile_location=10)\n",
    "curr_fig = curr_obj[0]\n",
    "curr_fig.suptitle('Specific volume anomaly at surface')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6da77e5",
   "metadata": {},
   "source": [
    "Notice that surface specific volume anomalies are largest in equatorial regions, particularly in the Indo-Pacific warm pool where surface waters are both very warm and relatively fresh (and therefore have relatively low density). Notice also that the specific volume anomaly is positive nearly everywhere, due to how the anomaly has been defined---based on water of temperature 0 C, at a salinity that is typical of ocean water but saltier than most water that cold.\n",
    "\n",
    "### Steric height anomaly\n",
    "\n",
    "Now we'll vertically integrate in pressure coordinates to obtain the steric height anomaly, relative to some reference pressure. In order to compute the integral in pressure coordinates, the pressure values are first computed at the top and bottom interfaces of each grid cell; then the integral is summed over grid cells above the defined reference pressure level."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d52bf10b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# pressure reference level to compute steric height\n",
    "# (in units of dbar, minus 10.1325 dbar atmospheric pressure)\n",
    "p_r_sea_dbar = 2000.\n",
    "\n",
    "p_r = (1.e4)*p_r_sea_dbar\n",
    "\n",
    "\n",
    "# reference pressure at vertical grid cell boundaries\n",
    "press_ref_k_u = (g*(-ds_grid.Zu))*rhoConst\n",
    "press_ref_k_l = (g*(-ds_grid.Zl))*rhoConst\n",
    "\n",
    "# mask for topography (set pressure below the bottom of the ocean to the ocean bottom value)\n",
    "press_ref_bot = (g*ds_grid.Depth)*rhoConst\n",
    "press_ref_k_u = press_ref_k_u.where(press_ref_k_u < press_ref_bot,press_ref_bot)\n",
    "press_ref_k_l = press_ref_k_l.where(press_ref_k_l < press_ref_bot,press_ref_bot)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68dde65e",
   "metadata": {},
   "source": [
    "Now let's choose sea level pressure $p = p_{\\rm{atm}}$ (i.e., sea pressure = 0 dbar) as the top limit of our integration, carry out the integration between these two levels, and plot the resulting map."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "0ccd52b3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x876.667 with 17 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# # compute steric height anomaly at given pressure p_top_sea_dbar, relative to p_r_sea_dbar\n",
    "p_top_sea_dbar = 0.\n",
    "\n",
    "p_top = (1.e4)*p_top_sea_dbar\n",
    "\n",
    "# dp for pressure integration,\n",
    "# with dp outside pressure range [p_r,p_top] set to zero\n",
    "dp_integrate = press_ref_k_l.where(press_ref_k_l > p_top,p_top).where(press_ref_k_l < p_r,p_r).values\\\n",
    "                    - press_ref_k_u.where(press_ref_k_u > p_top,p_top).where(press_ref_k_u < p_r,p_r).values\n",
    "\n",
    "# multiply by hFacC (for partial bottom cells)\n",
    "dp_integrate = ds_grid.hFacC*xr.DataArray(dp_integrate,dims=['k','tile','j','i'])\n",
    "\n",
    "# scaling factor for z* coordinate system\n",
    "rstarfac = 1 + (ds_SSH.ETAN/ds_grid.Depth)\n",
    "dp_integrate = rstarfac*dp_integrate\n",
    "\n",
    "# integrate in pressure coordinates to get steric height anomaly\n",
    "steric_hgt_anom = (-(specvol_anom/g)*dp_integrate).sum(\"k\")\n",
    "\n",
    "\n",
    "# # plot global tiles map of steric height at sea level pressure, i.e. sea pressure = 0 dbar\n",
    "# # relative to p_r_sea_dbar\n",
    "\n",
    "# 13 tiles map\n",
    "curr_obj = ecco.plot_tiles(steric_hgt_anom.squeeze(),\\\n",
    "                            cmap='seismic',show_colorbar=True,fig_size=10,\\\n",
    "                            layout='latlon',rotate_to_latlon=True,\\\n",
    "                            show_tile_labels=False,\\\n",
    "                            Arctic_cap_tile_location=10)\n",
    "curr_fig = curr_obj[0]\n",
    "curr_fig.suptitle('Steric height anomaly [m] at ' + str(int(p_top_sea_dbar)) + ' dbar,\\n'\\\n",
    "                 + 'relative to ' + str(int(p_r_sea_dbar)) + ' dbar')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c7147bc",
   "metadata": {},
   "source": [
    "You can certainly make a few observations from the above map; notice the low steric height anomaly values in the high-salinity Mediterranean Sea for example. But there is a potential problem with the steric height anomaly integration, evident in the abrupt discontinuities across continental slopes (look closely at the areas near the Antarctic Peninsula or Argentina). When the bathymetry is shallower than the reference pressure level, this integration has assumed that the land areas are actually water parcels with the standard specific volume.\n",
    "\n",
    "To avoid potentially misleading results, let's mask out all areas where the bathymetry is shallower than the $p_r$ pressure level. We'll plot this mask in gray along with a surface land mask in black, and for good measure we will rescale the steric height anomaly so that the global mean of the unmasked areas is removed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3b488663",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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9+vTxdB+N90ozas226+/BN998g5aWFlRWVmY8w01NTcnnt7W1FYceeij+8Y9/4KabbsK8efOwaNEiPP/88wCQUXc/779f5yrL888/j//7v/9D//798cQTT2DBggVYtGgRfvKTn3jKV/sdG58fANi4caPp707Phg0bLJ81M8yedS2tVod//vOfOProowGoMVPvv/8+Fi1ahF/+8pcAMu+vaBtMCAkexoAQ0klFRQUURcEdd9zh6M8MAL1790Z1dTUeeeQRy/16nEYINfr06YM1a9YIpXVDjx49EAqFcOaZZ+LCCy80TTNkyBDLY8vKykzjPZqamnytZ76idVCN8RhmRtvgwYPx8MMPAwD+97//4Y9//COi0Sh27tyJ+++/3zR/raPn9hr36tUL69aty9j+9ddfA8h8Ls3ybGpqStZj8+bNeOWVV6AoCmbOnJlMo8Ua5ILevXujV69eeP311033a4rbO++8g6+//hrz5s1Lqh4Asjbdcy544oknMGTIEDzzzDNpbY6XQHoAGD16NADg448/TovPisfjWLZsGaZOnWp7fK9evSyfNTPsnn/t2Zw7dy4qKirwyiuvpBmOVlMLi7bBhJDgoQJCShKzDhqQcsnQRosB69H6E044AV988QV69eqFcePGZXxEZisy49hjj8W7776Lzz77zNXxTnTp0gUTJkzA4sWLMWbMGNO6m6kWANC1a1eMGzcOL774Inbu3Jnc3traajrTlihaYL9XVSQbaPf1P//5T9r2P//5z7bHDRs2DNdeey1Gjx6Nf//735bphg8fjvr6evzxj39M275q1Sp88MEHjvU74ogjkh1vPX/4wx/QpUuXjGlin3766bQZg7766it88MEHyRmRysrKkEgkkvdI46GHHsqYkShbnHDCCdiwYQPa29tNn9/hw4cDSHU4jXX//e9/n/U6Z4uysjJUVlamdbabmpoyZsEC5JTI/fffH/369cuYEe9Pf/oTWltbHdcCmTBhAj755BN89NFHadufeuop0/Rbt27N+E099dRTKC8vx2GHHQZAPddwOIxQKJRMs337djz++ONC50QIyR1UQEhJcswxx2DAgAGYNGkSRowYgY6ODixZsgS33347ampqcMkllyTTjh49GnPnzsUzzzyD3XbbDZFIBKNHj8all16K5557Docddhguu+wyjBkzBh0dHVi1ahX++te/4vLLL8f+++8vXbcbbrgBr732Gg477DBcc801GD16NFpaWvD666/j5z//OUaMGOH5/O+66y4ccsghOPTQQ3HBBRegoaEBW7duxfLly/Hyyy9nzA5krN/xxx+PY445Bpdccgna29tx2223oaamxvWIuDa6etddd+Gss85CRUUFhg8fnhY7ki/U19fjyCOPxKxZs9CjRw8MHjwYb7/9dtKtR+M///kPLrroIpx66qnYY489UFlZiXfeeQf/+c9/0pQEI+Xl5WhsbMT555+PU045BT/5yU/Q0tKCxsZG9OvXL22aaDMURcErr7yCCRMm4Prrr0fPnj3x5JNP4tVXX8Wtt96K7t27p6X/9ttvMXnyZJx77rnYvHkzFEVBJBLB1VdfDUCdGemwww7Dbbfdht69e6OhoQHvvfceHn74YdTV1bm7iB6ZMmUKnnzySRx33HG45JJL8P3vfx8VFRVYs2YN3n33XZx44omYPHkyDjroIPTo0QMzZsyAoiioqKjAk08+mdEJLia0qWZ/+tOf4pRTTsHq1atx4403ol+/fvj888/T0o4ePRrz5s3Dyy+/jH79+qFbt25J481IKBTCrbfeijPPPBPnn38+pk6dis8//xy/+MUvcNRRR2HixIm29br00kvxyCOP4Pjjj8dNN92UnAVr2bJlpul79eqFCy64AKtWrcKwYcPwl7/8BQ8++CAuuOCC5IxXxx9/PH7zm9/gtNNOw3nnnYcNGzbg17/+dYbB6UQ0GkVjYyPeffdd26mICSH+QQOElCTXXnstXnrpJdxxxx1Yt24dduzYgX79+uHII4/E1VdfnRYA3tjYiHXr1uHcc8/F1q1bMXjwYKxcuRJdu3bF/PnzMXv2bDzwwANYsWIFqqurMWjQIBx55JGuFZD+/fvjn//8JxRFwezZs7Fhwwb06dMHhxxyiKOftSh77bUX/v3vf+PGG2/Etddei2+//RZ1dXXYY4890gK7zZg4cSKee+45XH/99fh//+//ob6+Hj/96U/x9ddfux55HD9+PK6++mo89thjePDBB9HR0ZHXnYHHH38cF198Ma666iq0t7dj0qRJePrpp9MWjKuvr8fuu++Oe++9F6tXr0ZZWRl222033H777bj44ott8z/vvPNQVlaWnLK4oaEBM2fOxEsvvYRVq1bZHjt8+HB88MEHuOaaa3DhhRdi+/bt2HPPPfHoo49i2rRpGel/9atfYdGiRZg+fTq2bNmC73//+5g7dy523333ZJqnnnoKl1xyCX7xi18gHo/j4IMPxptvvpkRQJ0tQqEQ/vznP+Ouu+7C448/jlmzZiEcDmPAgAE4/PDDkwZtr1698Oqrr+Lyyy/HGWecga5du+LEE0/EM888g3333TcndQ+a6dOn49tvv8X999+PRx55BLvtthtmzpyJNWvWZKx7cdddd+HCCy/ElClTktOK262/c8YZZyAUCmH27NmYM2cOevbsiR//+Me4+eabHetVX1+P9957D5dccgkuuOACdOnSBZMnT8bvfvc7nHjiiabp77nnHlxxxRX4+OOP0bNnT1xzzTVp5/CDH/wAjzzyCG655RZMmjQJ/fv3x7nnnotddtkFZ599tvA1a21tRVlZmWU8CiHEf8oSCcNqPYQQIklbWxvGjh2L/v37469//Wuuq1OUtLS0YNiwYTjppJPwwAMP5Lo6xEBZWRmuu+46XH/99QiFQr7GG7S3tyORSKCiogIXXnhh2joYxDvf//73MXjwYDz77LO5rgohJQNjQAgh0px99tmYO3cu3nvvveRK0//9738zFrkj7mhqasLFF1+M559/Hu+99x7+8Ic/YMKECdi6dWuaeyDJL2688UZUVFTg9ttv9zXfXr16mS6USryzZcsWfPTRR7jhhhtyXRVCSgq6YBFCpNm6dSuuuOIKrF+/HhUVFdh3333xl7/8BUceeWSuq1YUVFVVYeXKlfjpT3+KjRs3JoPH77//fowcOTLX1SMmLFq0KPm/cQ0Wr8ybNw/xeBwAsMsuu/iad6lTW1vreYYwQog8dMEihBBCCCGEZA26YBFCCCGEEEKyBg0QQkhJMG3aNNczkz311FO48847TfeVlZUhGo26rpdbfvWrX1kuuOaWLVu24Oabb8b48eNRX1+PmpoajB49GrfccovpKtptbW1obGxEQ0MDqqqqMGLECNx9992meX/55Zc4+eSTUVdXh5qaGhx11FGW66HMnTsXY8eORSQSwa677opLL70Ura2trs9r3rx5KCsrS5vhafz48Rg1apTrPAkhhLiHBgghhDhgZ4AsWLAA55xzTnYrhGAMkFWrVuHOO+/EvvvuiwceeAB//vOfccoppyAajeKEE06A0WP3pz/9KWbNmoULL7wQb7zxBiZPnoxLLrkEv/rVr9LSrV+/Hoceeij+97//4ZFHHsEf//hHxGIxjB8/PmPBzSeffBJTp07Ffvvth9deew2KomDOnDmOC90RQggpHBiETggpSL777jt06dIl19XIWFm8kBkyZEhyjRuNH/zgB+jatSuuvPJKvP/++zjkkEMAAJ988gkefvhh3HzzzbjyyisBqKrChg0bcNNNN2HGjBnJdWtuu+02rF+/Hh988AEGDx4MADjkkEOw++674/rrr8czzzwDQJ1u9sorr8TRRx+NBx98EIC6gna3bt1w+umn47XXXsOxxx6btevhB9u3b0d1dXWuq0EIIXkFFRBCSN4TjUZRVlaGf//73zjllFPQo0eP5EJ5iUQC9957L8aOHYvq6mr06NEDp5xyCr788kvHfO+55x4cdthh2GWXXdC1a1eMHj0at956K9ra2pJpxo8fj1dffRVfffUVysrKkh8NvQvWRx99hLKyMjz88MMZZb322msoKyvDn//85+S2zz//HKeddhp22WUXVFVVYc8998Q999zjWO+ysjJs27YNjz32WLI++kUbly5dihNPPBE9evRAJBLB2LFj8dhjjznm27Vr1zTjQ+P73/8+AGD16tXJbS+++CISiQSmT5+elnb69OnYvn07Xn/99eS2F154AT/4wQ+Sxgegzj508skn4+WXX07O8LRw4UKsW7cuI89TTz0VNTU1eOGFFxzPYdmyZZg4cSK6dOmC3r17Y8aMGdi6datl+vnz5+OAAw5AdXU1+vfvj+uuuw7t7e1paRobG7H//vujZ8+eqK2txb777ouHH344QxFqaGhIrkS+zz77IBKJZCz+RwghhAoIIaSAOPnkkzFlyhTMmDED27ZtAwCcf/75mDNnDn72s5/hlltuwcaNG3HDDTfgoIMOwkcffYS+ffta5vfFF1/gtNNOw5AhQ1BZWYmPPvoIN998M5YtW4ZHHnkEAHDvvffivPPOwxdffOHYAd57772xzz774NFHH81YiXnOnDnYZZddkivNf/rppzjooIMwaNAg3H777aivr8cbb7yBn/3sZ2huboaiKJblLFiwAD/4wQ8wYcIEXHfddQDUDj0AfPbZZzjooIOwyy674Le//S169eqFJ554AtOmTcM333zjaq2Wd955BwDSpgBeunQp+vTpk7F69JgxY5L7AVUB+OKLLzB58uSMfMeMGYPt27fjyy+/xLBhw5LHaHloVFRUYMSIEcn9VnzzzTc4/PDDUVFRgXvvvRd9+/bFk08+iYsuusg0fVNTE6ZMmYKZM2fihhtuwKuvvoqbbroJmzZtSlvsb+XKlTj//PMxaNAgAKqhdPHFF2Pt2rW4/vrr0/L897//jf/+97+49tprMWTIEFODjhBCSp4EIYTkOYqiJAAkrr/++rTtCxYsSABI3H777WnbV69enaiurk784he/SG4766yzEoMHD7Yso729PdHW1pb4wx/+kAiFQomNGzcm9x1//PGWxwJIKIqS/P7b3/42ASDx2WefJbdt3LgxUVVVlbj88suT24455pjEgAEDEps3b07L76KLLkpEIpG08s3o2rVr4qyzzsrYPmXKlERVVVVi1apVaduPPfbYRJcuXRItLS22+Rr56KOPEtXV1YnJkyenbT/qqKMSw4cPNz2msrIycd555yUSiURi7dq1CQCJWbNmZaR76qmnEgASH3zwQSKRSCRuvvnmBIDEunXrMtIeffTRiWHDhtnW9aqrrkqUlZUllixZklFXAIl33303ue3www9PAEi89NJLaWnPPffcRHl5eeKrr74yLUN7Tm644YZEr169Eh0dHcl9gwcPToRCobR7TwghJBO6YBFCCoYf/ehHad9feeUVlJWV4YwzzkA8Hk9+6uvrsffee6fNemTG4sWL8cMf/hC9evVCKBRCRUUFfvzjH6O9vR3/+9//XNXx9NNPR1VVFebMmZPc9vTTT2PHjh1J16JYLIa3334bkydPRpcuXdLqftxxxyEWi2HhwoWuyn/nnXdwxBFHZCyGN23aNHz33XdYsGCBcF4rV67ECSecgIEDB+Khhx7K2K93RXPa50dauzwA4N1338XIkSOx9957p20/7bTTTNN369YNP/zhDzPSdnR04G9/+1ty2zvvvIMjjzwS3bt3Tz4n119/PTZs2IBvv/027fgxY8Zg2LBhtvUkhJBShwYIIaRg6NevX9r3b775BolEAn379kVFRUXaZ+HChWhubrbMa9WqVTj00EOxdu1a3HXXXZg/fz4WLVqUjMHYvn27qzr27NkTP/zhD/GHP/whGUswZ84cfP/730+6MG3YsAHxeBx33313Rr01Fy27utuxYcOGjOsEALvuumtyvwhfffUVJkyYgHA4jLfffjsZUK7Rq1cv07y2bduGnTt3JtP36NEDZWVlpmk3btwIAMm0vXr1sqzjxo0bM+pgZMOGDRkuYQBMtwEwdc/T0mp1+Oc//4mjjz4aAPDggw/i/fffx6JFi/DLX/4SQOZzYnbtCSGEpMMYEEJIwWAcAe/duzfKysowf/58VFVVZaQ326bx4osvYtu2bXj++efTgqOXLFniuZ7Tp0/Hs88+izfffBODBg3CokWLcN999yX39+jRA6FQCGeeeSYuvPBC0zyGDBniquxevXph3bp1Gdu//vprAOo1c+Krr77C+PHjkUgkMG/ePAwYMCAjzejRozF37lw0NTWldfA//vhjAEiusVFdXY2hQ4cmt+v5+OOPUV1djd122y2Zp7Z9r732SqaLx+NYtmwZpk6dalvvXr16oampKWO72TZANWCt0mrG0Ny5c1FRUYFXXnkFkUgkmc5qCmQnlYYQQggVEEJIAaOtTbF27VqMGzcu46N1aM3QOop6IyWRSCSnf9VTVVUlpYgcffTR6N+/Px599FE8+uijiEQiaZ3nLl26YMKECVi8eDHGjBljWnetA2yFVZ2OOOIIvPPOO0mDQ+MPf/gDunTp4jht8KpVqzB+/Hi0t7fjnXfeSTPO9Jx44okoKyvLmF1rzpw5qK6uxsSJE5PbJk+ejHfeeSdtFq2tW7fi+eefxw9/+EOEw+pY2P77749+/fqlua8BwJ/+9Ce0trY6rgUyYcIEfPLJJ/joo4/Stj/11FOm6bdu3Zo2K5mWtry8HIcddhgA9TkJh8MIhULJNNu3b8fjjz9uWxdCCCHWUAEhhBQsBx98MM477zxMnz4dH374IQ477DB07doV69atw9///neMHj0aF1xwgemxRx11FCorKzF16lT84he/QCwWw3333YdNmzZlpB09ejSef/553Hffffje976H8vJyjBs3zrJeoVAIP/7xj/Gb3/wmOd1s9+7d09LcddddOOSQQ3DooYfiggsuQENDA7Zu3Yrly5fj5ZdfTs48ZcXo0aMxb948vPzyy+jXrx+6deuG4cOHQ1EUvPLKK5gwYQKuv/569OzZE08++SReffVV3HrrrRn10PPtt99iwoQJWLduHR5++GF8++23aTEOAwYMSKohI0eOxNlnnw1FURAKhbDffvvhr3/9Kx544AHcdNNNae5SV1xxBR5//HEcf/zxuOGGG1BVVYXZs2cjFoulrSIfCoVw66234swzz8T555+PqVOn4vPPP8cvfvELHHXUUWlGjRmXXnopHnnkERx//PG46aabkrNgLVu2zDR9r169cMEFF2DVqlUYNmwY/vKXv+DBBx/EBRdckJzx6vjjj8dvfvMbnHbaaTjvvPOwYcMG/PrXv7ZV1wghhDiQ2xh4QghxRpsFa/369ab7H3nkkcT++++f6Nq1a6K6ujqx++67J3784x8nPvzww2Qas1mwXn755cTee++diEQiif79+yeuvPLKxGuvvZYxY9LGjRsTp5xySqKuri5RVlaW0DedMMyCpfG///0vASABIPHmm2+a1nvFihWJn/zkJ4n+/fsnKioqEn369EkcdNBBiZtuusnxmixZsiRx8MEHJ7p06ZIAkDj88MOT+z7++OPEpEmTEt27d09UVlYm9t5778Sjjz7qmOe7776brLPZx3ieO3fuTCiKkhg0aFCisrIyMWzYsMRvf/tb07yXL1+eOOmkkxK1tbWJLl26JI444ojEv/71L9O0Tz31VGLMmDGJysrKRH19feJnP/tZYuvWrY71TyQSiU8//TRx1FFHJSKRSKJnz56Js88+O/HSSy+ZzoI1cuTIxLx58xLjxo1LVFVVJfr165e45pprEm1tbWl5PvLII4nhw4cnqqqqErvttlti1qxZiYcffjgBILFixYpkusGDByeOP/54oXoSQkgpU5ZIGFZSIoQQQgghhJCAYAwIIYQQQgghJGvQACGEEEIIIYRkDRoghBBCCCGEkKxBA4QQQgghhBCSNWiAEEIIIYQQQrIGDRBCCCGEEEJI1qABQgghhBBCCMkaNEAIIYQQQgghWYMGCCGEEEIIISRr0AAhhBBCCCGEZA0aIIQQQgghhJCsQQOEEEIIIYQQkjVogBBCCCGEEEKyBg0QQgghhBBCSNagAUIIIYQQQgjJGjRACCGEEEIIIVmDBgghhBBCCCEka9AAIYQQQgghhGQNGiCEEEIIIYSQrEEDhBBCCCGEEJI1aIAQQgghhBBCsgYNEEIIIYQQQkjWoAFCCCGEEEIIyRo0QAghhBBCCCFZgwYIIYQQQgghJGvQACGEEEIIIYRkDRoghBBCCCGEkKxBA4QQQgghhBCSNWiAEEIIIYQQQrIGDRBCCCGEEEJI1qABQgghhBBCCMkaNEAIIYQQQgghWYMGCCGEEEIIISRr0AAhhBBCCCGEZA0aIIQQQgghhJCsQQOEEEIIIYQQkjVogBBCCCGEEEKyBg0QQgghhBBCSNagAUIIIYQQQgjJGjRACCGEEEIIIVmDBgghhBBCCCEka9AAIYQQQgghhGQNGiCEEEIIIYSQrEEDhBBCCCGEEJI1aIAQQgghhBBCsgYNEEIIIYQQQkjWoAFCCCGEEEIIyRo0QAghhBBCCCFZgwYIIYQQQgghJGvQACGEEEIIIYRkDRoghBBCCCGEkKxBA4QQQgghhBCSNWiAEEIIIYQQQrIGDRBCCCGEEEJI1qABQgghhBBCCMkaNEAIIYQQQgghWSOc6woQQgghJLd0dHTg66+/Rrdu3VBWVpbr6hCSQSKRwNatW7HrrruivJzj54UODRBCCCGkxPn6668xcODAXFeDEEdWr16NAQMG5LoaxCM0QAghhJASp1u3brmuAskzotGoq/Syx8kew2e1OKCGRQghhJQ4dLsihQKf1eKABgghhBBCCEniRsUgRAYaIIQQQgghhJCsUZZIJBK5rgQhhBBCcseWLVvQvXv3XFeDSOCkUkSj0Yw0Vsfkk+LhVJfNmzejtrY2O5UhgUEFhBBCCCGEEJI1aIAQQgghhBQZ+aRqyGCm3JDig9PwEkIIISQv8MNFSCQPEfelfCDoegSRv8x1FsknX+4F8RcqIIQQQgghhJCsQQWEEEIIITlBdHTbj9FwjqSnKKRr4ZeiQvILKiCEEEIIIYSQrMFpeAkhhJASJ9vT8PqpZPg5Kp7rEfZcl+8HZufgVwxPNBrlNLxFAhUQQgghhBBCSNZgDAghhBBCsobXUf5iVQmIObxWxQkVEEIIIYQQQkjWoAJCCCGEEBIgpTCK79c5lsK1IlRACCGEEEIIIVmECgghhBBCsoY2m1E+wvVG5Cm18yX+QAWEEEIIIYQQkjWogBBCCCEkaxTCiLlRCRFZjbsQzssPRM6zVK4FcQ8VEEIIIYQQQkjWoAJCCCGEkMApxFFxu1W9C/F83CB6nqVyPYg/0AAhhBBCSGAYO6Yi7kyFQCHUPcg6FsL5k/yFLliEEEIIIYSQrEEFhBBCCCE5oRjcmewUnmKiWM+L5AYqIIQQQgghhJCsQQWEEEIIIb7hNFLuZhpXjr67w20AOa83CRoqIIQQQgghhJCsQQWEEEIIIVIENULutMif13IbGxXT7YlEO4AORKO/8pS/nkKa7Svf60eKDxoghBBCCCkJVEPDCjqFEJItaIAQQgghxJZcj5D7UX40eq1Emo7Ov+3JTzR6h+u6FcNsX4T4CQ0QQgghhJQgHc5JAAChzg8hxC9ogBBCCCEkLwlG+RA1PNLdtaLRqwBsRzT6Ww91iab9JaRUoQFCCCGEkBLByviwiw3R76/0sS6ElC40QAghhBCSVazWnQhWGTAzPkQNjxTR6BUAdjoqIWbnROWDEBUaIIQQQggpQayMDzujRNvHmBBCvEADhBBCCCGmBDFiny1FID32w6h+eDE+tPwv6/xrPjsWIcQaGiCEEEIIyRpBuyGlFhuUMTLEDQ8jqiHShmj0dzZporZ5EFJqcNUdQgghhJQw7o2PFOxOESIDFRBCCCGEACiekXr7Fc9FkckjhGj0Z1CVkPvS9hTLNSXET2iAEEIIIaSIEV33Q0NmZqyQxf+EEDtogBBCCCGkRJFVSpzSV3ZO0wsAMagLFz4sXy1CihwaIIQQQggpEby4ZlkFr4cs0lSAsSGEmEMDhBBCCCEEgDsDxWiEaISgxoZc1pkmhmj0AS+VMyU7izgS4i80QAghhBBSghiNDT8C163yCwGI+Jw/IYVLWSKRSOS6EoQQQgjJHVu2bEH37t2LahQ9tRChPgi93eJ/s+9G7PbLBKBr+XTYrh1CMolGo9i8eTNqa2tzXRXiESoghBBCCCGOhOC8uKGVIWJ2HONDSOlCA4QQQgghRUc0elPn32s6t/jtYmWG3hBxLk9dO8SIN2VEr2IVk6JFigua34QQQgghQoQg5m7lxdhh14wUP4wBIYQQQkqcYowBMRKNXmXY4jUIPUhFRY1b8TtGpNBnzGIMSPFAM5sQQgghRBpRNUQW2ZXbCSk8qIAQQgghJU4pKCCAUQXxexpevxWRdEOEM2ZRASkmGIROCCGEkIKnsVFBImE0AjoQjf7KJLWZsSAWOG6N1+PtiUYvAtCOaPS+wMogJFvQBYsQQgghBIB3lyo/XbLMumhBuHwRkn3ogkUIIYSUOIXsgtXYqCT/N1NANPRKSDR6hU2OfqgYfiohZjEh2xGNPuxjGYUBXbCKByoghBBCCCkx7JQEP4LL/QxQpxJCig8qIIQQQkiJU4gKiF75AMzUDyBdPWhHNHpL2l57JUQ9xjt+5GFUQdp1H5VSUESogBQPDEInhBBCSBHix3S2mtKQ6+D0cqSfj6awaPlmY5V3QvyDCgghhBBS4hSKAnLzzarqEY+nb3dWP4B0tUBWCUk/3h1BKCH6vNX8o9EHfCgnP6ECUjxQASGEEEJIwWA0PrKHPu7CjTHhh5pilzfjQkjhQAOEEEIIIXmNpnwQoytWJup6IQDXDCH5DGfBIoQQQkiR4Uf8hx1eFAevaoVo142KCMlfqIAQQgghJC+ZPVtBewAeS9HoVZ1/b3FI6USQblXe4erpJF+hAkIIIYQQ4gk3qoYXJUSm+0YlhOQfVEAIIYQQkhfcfrsa69HWZp0mHBYJRHeOldATjf6686/IbFh2+DHlriji56gpISo7fV0zRJs5Ld9nUCP5BRUQQgghhOQVFRWp/0O+DeCLZORHYbLKRrZmsAqBs2WRfIEKCCGEEEJyyl13KbaqRigE21iQsrKQxVogcmgxIWqMiNf8sqGGyCk9KiFEo+dBjQ0xV0LM1AwnhYNKCJGBBgghhBBCCgr3bljpRoFVMLq7hQrNkDFC3BosskaIpoLsdFFWCqOhQcODyEADhBBCCCF5R0VFeiyIUQUxGiHiKoibjr4XNUNmpqxsxpCQXBGLxbBzpzcD0InKykpEIpFAy/ACDRBCCCGE5BwzVUPWCMnESh0wU0L033+dllqviASvhrgxQty5YlkRjUapcARELBZDn+pqtAZcTn19PVasWJG3RggNEEIIIYQUDHZGSFmZ2ql2p4SIBmfr0wWlpGTDCGEwei7YuXMnWgFcBqAqoDJ2ALijqQk7d+6kAUIIIYQQIotRBQGcg9LTseuYe3V5CtKdK3gjJBq9AMB2RKNzJMsxyysqtI2oVAMIyjQohCluC6GOhBBCCCkBwhLDovrpecPh9GM1JSSFXXfH69S0bqa3daO2iCLbtat0UQYh3qACQgghhJCccskljbb7b79dsV2c0B9SioM2O5YZxhmyUtuvgpxqEaQSIop13l6m1RU9Jho92/DdvwUS851yBKcCFIK6UAh1JIQQQkiJo1+cUMO4SKGzCuLU7fFjsT6ZPGTSySDTvctlLEi77kNKibJEIpHIdSUIIYQQkju2bNmC7t27573P/uzZiul2fTyIcVaszIB02dmi7DvHmWuGGNUT0c61SDrZjnr6uUajv+v8e5EhT/Vjp0BYPRvuFJJpFntCNosjngFgKDZv3oza2lrpMvMF7bd2PYKLAYkBuAHI62tFBYQQQgghBYGZCmLEGEfiTgnR41UV8VPlCEIJ0eqXD7EgdgYWVZJigjEghBBCCCkYzGbFMiK+UjogP3VtekfYLl7E6Vh3eM9HU0JS3y/ynKd9eWcL559SR/TGVgjAVn8rlWMYA0IIIYQQUsCEQs7xIJlKiEY2FRGn47zGn5hRDudzDFpdcJN/u8X/pBhgDAghhBBS4uRbDMhdd6mxHnYqhpkKYlwbxOx450UK/Y0RcX9cEDEhANCRoYD4TfrsVl7XWdHYCmCvvI5rEEH7rd2AYGNArgdjQAghhBBCpLFbF0R0ViyzmBBrNQTIniLilD6ImBBZ48otfs1uReWjWGEMCCGEEEJ84557zGeq0rjwwsw1PzTFwwzNgDBTMzQjRK+GmK2SrsWEKEp62dHotTY1dRMjIotTPIdIvIdMTIjcSukiqDEbRkOIhoMTpR4DQgOEEEIIIVnDaKA4B4uriAWWq1gZIUY0JcTeLUvGENE64jIdcL+MEPFytaDzaPQ+ofTmeZxt2BKU0dGO3K5VQoKgEIwkQgghhBQpdm5WZmnN0ldUZLpkGd2x7LB3ydKQGbOWdckSccfyc2FDv+BCgm4pD/gjw3333YcxY8agtrYWtbW1OPDAA/Haa695O0EHqIAQQgghxDc0FysnVyw9eqNCROWwUkOMU/QalZCbb1br9MtfZrqBiakhgJMiEo3+qvPvNZBzjxJRMUTzs8tLc8MSM1QylQ4tX7+MDrPryPHxbDJgwADMnj0bQ4cOBQA89thjOPHEE7F48WKMHDkykDJpgBBCCCEkbxA1RqxiQ8yMECDTJcsKOUMkCLcsEZcs0fys0nqJBfFT7chWUDyxY9KkSWnfb775Ztx3331YuHBhYAYIp+ElhBBCSpxcTcMrqpI4qSJm+0Wm6XXK29kI0cjsSKcrIWm1EMwzG+nUemvT8kajFxjSGY/xanyIGhxmCshWAKPzempZEbTf2mwEOw3vTACrV69Ou1ZVVVWoqqqyPba9vR3PPvsszjrrLCxevBh77bVXIHWkxkUIIYSQvEaL/bCKFzHbJxoXYheD4jxlr4abaXtF0vmdnzGdWb2NK5C7qZMZMmoHlRE/GDhwILp37578zJo1yzLtxx9/jJqaGlRVVWHGjBl44YUXAjM+ALpgEUIIISRHuI0XEZ0NC3COCxHJs6ws5NolKxr9lYkKIoof7lZm6fRpyjtnxdJoN0ljd7xf+D9FcD5ThuBUgLLOv2YKiBXDhw/HkiVL0NLSgueeew5nnXUW3nvvvcCMEBoghBBCCMkpZiqESPyHMZ3VduN6IWZxIXbrjQDejBBzgjAu9Gk1zI4JGfbrA+s1A8NM7dDyslJC3Bgm5Rb/E69os1qJUFlZmQxCHzduHBYtWoS77roLv//97wOpG+80IYQQQnLK+ec34vzz02emcnK70qcT3e5lql5AdLpelWj0mqTyoaogv7JI6ed0vVbH2B2n31eu2xYy2e/H6u0EUFWKID9eSSQS2LFjhw85mUMFhBBCCCF5jdGYMKoUVuqFmWuVk0uWdyXEjSuR39P12h0XBPq6yMy8xXHwfOCaa67Bsccei4EDB2Lr1q2YO3cu5s2bh9dffz2wMmmAEEIIIaRocWOEeCfV2VaVEG1GLKuZsQBRIyQavcXw/QovFU0rOxq9Q6D8Czr/EzE6iBVBLhkpm+8333yDM888E+vWrUP37t0xZswYvP766zjqqKMCqR9AA4QQQggheYKT+uCUTma7WVyIUQnJXjyIhpsAb9ljrGJEZGbdMkMfN2L8X4OKRz7y8MMPZ71MGiCEEEIIySucXK706cz2yW7XMBohiqLGpTQ2Zs7SJWaEmOOHEiJ/TMpwMKooMmhrhmRuN64hQuwoR3DmWCGYeYVQR0IIIYSUME5rgMgcY7ZeSHC47Wa5cdAJOXw0gjQS3ASuk1KEK6ETQgghJU62V0J/+GHxdT+MWCkYdsqG2T7jtrY2YObMxsyEFjQ2KtIrpVvNhGW/Tkh7Zxp71SIavSrjuGj01w7HRNP++k00enayLt4prpXQ7wJQHVAZ2wFcAuT1taILFiGEEEKyytlnqx39xx7LNERE4j9k3atkFy8UQXPPikavFUitxoPop+UVR0xBkHGrypahmb6mCN2zSAoaIIQQQgjJG0QD0a2OFT3OmNatK5Z4LEhprfRN7Cn1GBC6YBFCCCEljqgL1u23KwiHgUsuEXdVEsFMCQHk3aqc9om6YmnIuGSJKCHR6E0O+61dseRUE+2YaNpf43ar9H6jumJ5VUCKywXrbgTrgnUx6IJFCCGEkCJAZGVyv8vz060qCFcsIgrdsPSUugJCA4QQQgghQmjGxz33KMnv55/vrxqSbfwySjR1QywmxCoPu+l5nY6Nui7XmEdwMSI0QogKDRBCCCGECJFN9cMLskaFPr1xlXTiB3rDg6umA1RAGANCCCGElDhOMSC//727aXONBosbAyYbcSBm2zUjpL0d+OUv5VUevRLiFPuReWymAmI9hW9UKm/xOvifb2paXj2ihkhxxYDch2BjQC4AY0AIIYQQUsTYGRb5pprIqiMhrqPnI2YuWKV5gUtdAcmzZoEQQgghhYKTcZFvxoeGmRHid4C6rOphnU92lY/gceuCVZqGSrFSCEYSIYQQQgqMbBgffpehz8/tuiDEjpDh/9I1KsoC/uQ7eTo2QQghhJBc4zb2g3jDzZof/tchmvbXnzzv6/x7nm95ksKEBgghhBBCpCmkuA+Sb3BWrHIEp/8UgnsTmwhCCCGEEBO0KXlnz1akVkUPkmzHfgSxarq5ElKahkipQgOEEEIIIVIUg8JhFXTO1dKziZnRURqGCGfBIoQQQgghtsyerbheE6QYMSogbhSRlBJyAcyn523Xpf0jCnbiL5IBDRBCCCGEFCzZVixuvlkNzKch4h96Q0T7v9gpdQWkEOpICCGEkDwh39yvzIwPulARkt/kWTNCCCGEkFzD6XdTaIHoxB4zFyxZt6xSUT8AKiCFUEdCCCGE5AG5UD/yTXEhhHiHP2tCCCGEEAuM6oeX2A9RRcAPNSEfCGIK32KBCgghhBBCiI/E4/7FYcjmI5qecSKE5A4qIIQQQggJhHg8WBeqbBkRXhYhdDc9bTT5l2pBcUIFhBBCCCEkILyoIVQpCClOqIAQQgghJHA0YyLfFZF4HLj8cu9rfFC5sEav8JQqpa6A0AAhhBBCSNYwGglGgyToGA6qKoTkHhoghBBCCBEiiJgONwaBWyPiwguDW73cz9H8UlYGSGlAA4QQQgghwgQdWC5Svsx2QvKRss5PUHnnOzRACCGEEJLG+eerSkG+rYjuxfgIUv0IimJXQoznV+znS1LQACGEEEKIFNkIKDcrT3afTBpCskmo8xNU3vkODRBCCCGE5C1WxoOm0uSKIEbrS10BsDv/Ur82xQYNEEIIIYS4IkglxMzwyLXRAWSnI8zOdvFThuCmyy2EGJBCmCqYEEIIIXmMl8UGrfIjhBQvVEAIIYQQ4gteFRHt+HxQOnKJXgGhGqJSbNeBCxESQgghhPiI02KDdmkJIcUPDRBCCCGEBIqTkZEtxUMbRbcaTXfaHxTFNrpPnCl1BaQQ6kgIIYQQQggpEqiAEEIIIcQUozLh98KEfigfMovZiSoN2VJCnPKnMlK8UAEhhBBCCCGEkCxBBYQQQgghQugVCy9qiFvlw40iUIgzShVKPYl7qIAQQgghhBBCSJagAkIIIYQQadzGh3iJ+4hGo9LqgEx6q9gPfblBxodQ+SgdSl0BoQFCCCGEkMDheh+EEA0aIIQQQgjxTL6s5eFHXiJ5O60lQogdZZ2foPLOdwpBpSGEEEIIIYQUCVRACCGEEJIX+KFuiMRxGNOK5ukX+bYSO8k+oc5PUHnnOzRACCGEEAIgfzrAbg0Fr8fkU/6EFDM0QAghhBBCCMkinAWLEEIIIURHtpSQIFyt/CjfDwXGC/miRBESFDRACCGEEEIIySJlCE6pKIRZsGiAEEIIIcSUIEbivcRzZEsRyBcFwmwBRJljCclXaIAQQgghhBCSRUo9BqQskUgkcl0JQgghhOSOLVu2oHv37sLpg4i7COp4fXo/Yj5yHR8iQz7XzS2bN29GbW1trqvhGu23Ng9ATUBltAIYj/y+VlRACCGEEEIIySKlroDQACGEEEKIFGaL+uUrfqk1QSgvQZMvsSyEGKEBQgghhBBCSBahAkIIIYQQIkkhxUI4EXRMS66ViFyXT4gRGiCEEEIIIYRkESoghBBCCCEkg3xUDN5/X8Hq1cCUKY3Sx1IJIfkCDRBCCCGEkAKhvh6oCWr+VpI1yhDciuWFsBI61wEhhBBCShzZdUDM8GNU3csq6U55mG0vJEXgq6+U5P+xmPpZvhz40Y/cKyGFSD6vbSGC9ltbgGDXATkQ+X2taIAQQgghJY4fBogRP4yJoOuRywUVZVm7Vkn7HosBK1cCra3q30suKQ1DJJ871SJov7V/IlgD5PvI72tFFyxCCCGEkAIjHAbq6tS/ffvmujaEyEEDhBBCCCE5JVsj8UG4ieVKRQmH1XiQWEyNCXnvPQVr1gCnny6vhBCSbWiAEEIIIYQUKOGwaoCE2aMrKEp9Gl7GgBBCCCElThAxIEZkFuwLqlw/1Qo/6yqTlzEWRCMeV+NBmpshrYSYBePna3xIPsc1iKD91j5EsDEg45Df14r2MiGEEEJIgaMpIfF4rmtCRCh1BYQGCCGEEEJKArfT7uaTGhAKAe3t5vs0IwQA3nhDwTHHiKkg+XR+pDSgAUIIIYQQUkCEQunf9QZJJKIaIlRC8psyBKdUFMJChDRACCGEEBI4dupDtkfgRZWQXM3OJVuuZpBohkg4rBoiftWHFDezZs3C888/j2XLlqG6uhoHHXQQbrnlFgwfPjywMgvBTYwQQgghhDgQCqU+nBUrvykP+CPDe++9hwsvvBALFy7Em2++iXg8jqOPPhrbtm3zdpI2CM2C1dHRga+//hrdunVDWVkhCDuk1Ghvb8fy5csxdOhQhIzaNCF5AJ9Rks9s3LgRQ4YMAfACgKBmzekDoBtSDiIJADsBfAOgLYDyukGdZ6gSQAiA5qe0HUAcwFabcrvojq1CZWUIFRXAtm3Nncd16PLzu859UFkZRvfuQM+eQG2t+rdrV6BLF6CiAmgTuFxbt6ZWS9+4Uf2oCom+3vou4E6o8ye1+HY2/tIK4ERs3LgRPXr0yHVlXKPNgvUR1LsdBFsB7A33s2CtX78eu+yyC9577z0cdthhvtcPEHTB+vrrrzFw4MBAKuCVXMiEhbRgkkj++Sy15nPdCClW+LvLDm6mpQ3+3kwOOH+VbJ6XTN4i9crG72PnTmD9evXjxU0sGo3iwAPly8/nNmD58uXYb7/9cl0Nz2RjFqwtW7akba+qqkJVVZXj8Zs3bwYA9OzZ0++qJRFSQDZv3oy6urrAKiFLPvwwotEf2ew1jm46fbfbV4ZodI5otSzx0gD7jVX++eAXTAjJ/e8un9YiyHX5xU42DBE/3n/58H4SLW/VqssAADt2AHvscUegZeWCYlFAPkawCshok+2Kojje20QigRNPPBGbNm3C/Pnzg6geAEEFhG5XZlg9Nn4aHwzRIYQQQog4lZWqy02xenoWiwtrNhSQ1atXp7lgiagfF110Ef7zn//g73//e0C1UxFSQLKxQqod+WKJR6PTHFKELP43+261TaPckCYEIIRo9BaHOqTjx7UL6vqLjDTly70npBQpxd9fKZ5zPpAvSkg+KyCy5a9dq6B/f/HV0P0qN2jyeXVvEbQ+9ScIVgEZCflrdfHFF+PFF1/E3/72t86YsOAI3ADJ9YPqB86Gh0bI8Ne43WkbkGkPhwyfcgAdiEZ/ZVuTfJWG7Y7JxwaeEOKeQvv9Flp9i5GgYxO9xlPI5JUtCuF97yfFYoB8imANkL0gfq0SiQQuvvhivPDCC5g3bx722GOPgGqWgpO0+YaVQSFqfJgJceZ5lpVVCNaJEEIIIYQQay688EI89dRTeOmll9CtWzc0NTUBALp3747q6upAygzMAMm1hZwfiBgfVh6ARjVF/VtWFkIikTn/Xq6vt4xsTQgpDUR//7luJ3JdPkmRbdcrL+XlqyISFMV+ftlG82sJKm8Z7rvvPgDA+PHj07Y/+uijmDZtmi91MkIFJKuIGB92RouWfqdvNSKEEEIIIaWLQDSG7/hugBSThSwe++EXZkHsqdiPsrIQFCU9oCzfr3c0Gi2YUVBCSGnBNqd0CVJpcRPP6IcSw+e5sMjGLFj5TCHUsUhwUj/sjA/V9YoQQgghhJBCxzcFhJa3F+yVD6ADicQWRKPuFhTKNXw2CCF2lJovPckOfj9HQT6nVDFKDyogJI/IVD5U2gFkBp4TQgghhBBSaPiigNBi1yM785XZbFeq8hGN3pSRE681IaTYkYkdk82XEL/IN9Ui3+pD7KECQgLCS8xGu2+1IIQQQgghJJ/wpIDQyvYLVfWIRm/JdUUIISQv4Ggu8UrQz042YkLc5OvlWJI9yhCcClAWUL5+QgXEF9yqHZzZihBCCCGElBZSCggtaScy4zmi0d/lqjKEEFLw+DnKzNm2SKlRDM98sSo6jAEhhBBCCCGEkCzh+0roQVCIFnw0el+uq0AIIcQGxpkQLxTiTG1ennn+Xvyl1BWQvDZArB5ymYff3Y9smvQx2YA/ekJIqePHe4EQkv/wN13c5LUBQgghhBBCSLFBBSQg/vUvBeEwEA4D8bj6icWAgw9uFM7DD7nPTR7R6JzOv9Ncl+snHAUghBB7ZNp6tqkkm/g5cUI+QFcs4geBGSCRSOb/YeothBBCCCGkxKEC4hMLFyqoqEgZGca/gKqCFB/ma3lEoxcBKEc0+tvsVocQQkqYaDRakBOXEJINglgskb8v4gbfDJDqal2mVDoIIYQQQggxhQqIB7Q4D+HCXJaWbSs7Gj278792k71cvZwQQoLErK13av/t9nOkluSCoGfszGW+hHjFkwESiWS6VRWX+kFjgxBCCCGE+AsVEBd89JGY8qGPA4nHc2OcyI1AnO2cyJKQ7m/IsM0dHLkghJQSVDFIMVEqz2ypnCfxF1cmgWZIFGdQuRuolBBCCCGEEDFKXQEpSyQSCadEW7ZsQffu3XHCCZtRUVFrmc6ocBhnworFgJEjxdcBcUJvbfs7s4OVEuJkaOiVj3IAIUSjd7goPyp9DCGEFCpu2rygRl3Z/pIg8BLDlI3y86kMJyV08+bNqK217ovmO1qfeiOAoM5iC4CeQF5fq6KK2PAPKhqEEEIIIYQEQWAGiNk6IH4T3KwRD3T+Pc8mldX6H/cFUCNCCCF6qFSQbGP1zIk8i06KnUwe+UrQsSAffngZgGDyzgWl7oKVFQVEC0IvPGSVEConhBBCCCGE2OGbAaJXOszUj0KcnldTM6LRCyxShBCN/s6HcqKe8yCEkFLGzdohXtOT0kFmhjYv63/k00xwX3yhWO7T9+mWLgUWLfqWHiCSlAEoKysLJm/n8O6c41sQup0BEg4Dgwf7F3xuRlOTgoqKlNrSq1ew5fkBX3aEEJIi220i22AiSj4+K0G6bX32mf1yC/r+3erVwD/+AWzatA3AOkSjT3q6XsZjP/pINYTa2rbglVe653VgtQhan3ozgNqADJAtiQS6owSC0K2Mj2yqHn36pP6PxbJXLiGEEEJIMeHUf9PWdovHgX79gFNOAebN64rPP68IrC5tbb5nnVvCYSAgAwSJRN7HPvhqImQj8FzP5s1K0tDx090raJkzH0dSCCHFi4ybRzbrkSvypR4kf8lHNU70d+yl7p98ogj35YwLTId0YbBu+1H69KKLXpPCxPOttXo49NuDMsJqasTrQwghhBBCrDH23UT7VKl+nn+T8dTUqPnm+UC+e6iA+JSRieuVJs95dYnats3eIjdbADEeV7B+PVBfLx8LEuTIB0feCCHZJJdtDts7Umjk8zMrqir4eQ5aH9bKENEbKQ0NQHv7AESj1yAa/ZVvdSDFSVb0Aq9GWCRivt0pQKrCf1dEQgghhJCSwk4N0fb16wcMHAjEYux8CRG0ApLneDJAzGa70u+LxYDdd2/E4MFi+W3blpryzS5vp/oAQFtbI3r1EiuXEEKKjVyP5NqVP3q0gs8/B2Kx/J+tkJB8I9vT8WroB5Pt+mRjxwKvvqpg0aIYrKqY6/aJ5B7XBkgQsR9u1g9hzAchhBQW48YBdXXA/Pm5rgkhxA1Wikg8DtTXq59lyyzcV4gKFRAXBwkuOihqgFjFeLid2SrP424IISQwZGbT8XMU0iyvfv0U1NSovuE1Nao7rRYbWF8PTJyodK4fkF0lJFcjyFb1cNpGgqcQr3uun2O9EaKPFdG2jx8PvPee6tnS2gosWrQJ0ehvAYjV3diX44BzcSF1O53W9jCqH6KGgFNguchDp03/1t6ulhvybyIGQgghLhg/3rr9jkTUz9ChwKJFWa0WIcQnnJQQDdUAMZm6tJQJhYDy8mDy7ugIJl8f8TUGREMm9kOvftiVATgbFe3tauwHjQ9CCHGPmxHVQw9V0Lt35qQhdgNR4bCqjtTXK4jFgDffDFYJyfWIsZ8rVxfiiD3JHaLPvqZgyGBUP8zyiUSASZMq8MYbChYs2IBo9HeW9fniCyVjGyk+AhG0gnCBMjMq2tvTy4vFgKoq/8smhBBiz8iRKQVaa5Od3gXxeEoJoessIYWN0SXLOLjcu7e2rTbbVctPwmEqIK4OtJilavBg+xGszZuVtPQiZeiND/3Uutu2AaFQqjwaH4SQfMaPUesg87DL+8ADFdTXpxYHi8WApUuBzz9X2+AdO9R0sguH6UdMp05V8LvfAb16BaOEiKwkHYSyIJLnfvspGDEi9V3/bn3rLWDFivRrkms1h+QPds+CX8+HaDyGlQKibaupAU49tQIffaSgtRU4+OD051pTPzggUfwUVEiPZny0tanGR0sLONUuIYRkgQED1M4DoHYkIpHUdw2rToPTYmZ6GhqArVtdV7NgGTAg3WdeQ3NTW7Ei61UiJYj+N2xnBMgsUGg8RhvEKPmgciogkgfYzIBlt+L5hg32q5lboakfeuVj82Zg+XJg5MjCm0M+Go1yxIoQ4ppsth9Tp6avzWTskGzfnvrfrP03prfrtGgdkhNOAJqblcDjQbKB072aPj11fauq0g0v7Z0XDgOjRgHDhyt49VVg9epMJYTvFCKKk3I2fLj6fH32mVgchp0yYrVP2x6JqIqHnWpCihfpWbBcF2R4KEUDz42ocR6NGDnSfV1kEZHtC6kcQkj2mTlzZq6rINymvPqqgptuSo1UAuIjo17R3DS++ELBmjUpd6/jj8+OQeJ0jfxsl2tqVEUfSMU0arS3p7sfV1erSsiyZQpaWlQPgIULgbPPbqQ7lg8Uw/s3H+rstGI6YG2klJzxQQXE5YEmaobbh8fsgdV/17tetbQAXbu6K4cQQogzf/qT+lcmoFyP13dBTQ3SVlBeubI4Fy2MxayvrzYarDdExo5VF3HU3o/nnJO1qhIijFO8SMkZGsQUXzzw4nF12l0zmpoUVFSYP4Ayiko4rDbWW7dmzwDJltLhlC4fRjUIIe7Qfr8xOx/VLJQvg6grhN41NohOhfaOqKsDevRQg1ZbW9WR/8MPL1wXrdGjFfTvnxmw73QN9dcbAI48Eli0SH3HtramjDa+MwqPbL/vs1meTAyYGdpxBbC4txyhUHCL1hkl1TzE80rogH2jaWwwZTG+4DZvNg/UI4QQ4i9O7lfGNT+CKD8cVqfvPOkkdZsWAF/InZEDDkgZH2bX1skA1K7LlCnAGWeo/69fD9x/f7D1JsQL+me65APQibcgdEB9oLSgJT2a8mGHjArS2gokEo0YPlywog40NSmor3c3gsagP0KIE4XYRmzerOCEE9K32XWEgzBAjO8Fs9HTcDgVO5GPWN37gQMVNDRkGh9mwfqi7s1aWq+DfSSdUvFAsDrP4cMb8cknwS0IyFmwoF6AoBSQsrJg8vURz7dfVHZ387Bp96WtTXW/8vM+9enjX16EEFIMXHVV5mKCekTXAvCK1RSemjIQCuW3AWLFxInpxoeVsmRUQIyzB5mdf8l35kjBQSOktJG69XoDQP/QfPGFkowB+eorBVVV/o7GxGKNno2Pfv3SpwFet85+2uBsUgyzbxBCVPLl9+umHvffr7bj+ulh7aipAY46SpFSQvzocBx4ILB0qYK5c4EjjsjN7Fgy1/fQQxXU1ZkbH1aGnuwEL+EwcNllCpYudVdHYk62FqvMR4KeFrfkjQ8qIB4zMOTg92rkfo1yGWftqq7OHwOEEELyHbOOSCQSXByInQoydKj6WbYsmLL9RlvhXJv1SmRmMb3iY/xrpKJC3V5TE3xcDikdOFsVCRJPQeixmPrZe+9GrF2r+GrIxeNAW5v3kS1N+SikaeBKZXSFEJIfWLU5uW4nrVw09EHYK1cqyW2zZgFTpviriLhRPrp1U2M9hg5NGQ1WrleAdXCuqBGiDdTF4+kGSKnEMWSbUrmu2mLPn32m+N4WyKof4XBBLG0hBxUQyQMKqCMPmI8G5XsAIyGE5JrW1lSHNl9dJRoagN13VxWAWCy1fkmuOfhgYI890hUPp7gPJ4xGiB5trRCjAUKIH/ix3ptVfqR0cf0YWM1+ZVmQSUnOq6GrVnciIT+i1aOHgpoa6/LWrgV69ZLOlhBCTCmG0dCJExX06KF2nOfMAbp3b8Shhyp5OfW51hHXprsPhYBf/hLYtk1VvZubgY8/ln93eIn12GMPBQMGqJOcaAacmcuVG8ND/7/V8fG4uk7W1KkKFi8Gli0r3LVSCoFiit+0U3W0GN8vvkiPDQt6ALroDZUSV0Ck1oAXfRj8CkAPhdw/gHV16XEfxnxaWz1VjRBCio6BA9UR9Hgc2L5d3bZypfrxq7MRj6evAO7meCOaEdLQAIwcCQwfrro/ZZsRI1LlWqkdQXba2trU9++AAeq1IMRPtIVAtf6Tm/6Z6DFFb3wQ9wpIOAysXZuyhu2MOC8PUiQC1NQoyZXQm5uBqirrUZ1+/RRblwGtns3NwODB6fuMIwB2IwKl4gNKCCl+zj03FUehjbJPm6a28T/6kTqS9vbbCUslRGZ63lgMePlltQ2fOtXdOgNGJUCvhGjU1Ynnp2/HZdv0SZNSMyxGIinlQ6unvs5+YBcXo03PGw4DPXqk9vF9lR2srq/Idc+Xe2P3rOy9d3rf67PP5H6/In3BkjI8vIyyFwFSCoger9dM1go2UzHMqKmxNz42bwY++QRoahIrnxBCih2zAaRu3dQVyDWWLAE+/tg+gNpumxWtreqAkJdZCc0Cu7P1Xu/dO332KS/Gh591ZiwICZpNm/zNr4T74iVJWSKRSDgl2rJlC7p3747TT9+Mysra5PbBg1VruKkp3QrWu2CJxn4YDQ3NNa66OvU9FlMNBzMFZMgQxTRf44t13jzg/vu3IRr9dXKb6KhF0POB58sICCFEHqffbywWQySLvUKZ9qSpKZFcgFAzBLROfWsrsHw5sGKF2u5OnKigWzfxtSnsePbZ9LbcTBFxysPqfRKPA48+ah8D4UYZMKujl+ByDavzNG43rghv/BsKqe9gbdu8ecDixebXge+c7FGI8SKidRSZJcs55tf5+J07t+DJJ7tj8+bNqK2tdT4oT9H61JsPPBC1AVldW+JxdF+wIK+vle9n7ib+w0zlMBuRC4fVUR3NZNICza3UkZYWYP369Ia3vh7QflOyDYDZy4rSNiEE8OZ+kW20Oj32mIIzzlC3Wa1PUVOjjvI/9JDS6daU3qZOnmzthmHlLqRt8yNY2qyMBx+073Dbtduvvpo5dfuAAcCRR6p/9UqHyKKCIgQ18ms8D76v8odCuBeiddQmJPrkE/O2QNS4dpuGFCaep+GVSSurhhiNmXBYfRGuX69+1weaa2iGy44d6qhd9+7i9SWEkFJi3jz1744d9jM1DRgA3HmnqkAvWiRXhpURouE0aOV0vJYG8Kez8sQT6e5LRqNCH0Bv5voli0znTOb8tOvGDhzJR9wom0VHif9Apc7ceJ2Miw/Kqh9mUrIxL6PEDAADB5ovLhgKqYGIy5erU/fmu/GRzyMfhBB/CNp10wvGKV3tRvLDYVUN6ddPVZ4HDFA74y+8oI5+2ikhdtTVqdPX1tcDTz/tLTjdiJXby8KFSto7JhIBJk5MLRyoYXVt/JjRKlv9jvp6oKJCwYsvAkA0bV80Gs2bZ5HkL6JKiN0U0cZ0bvaR4sLTrRad+cpJCTG6YGn5mhkf2siUlfIBAB9+CHzve/Z1J4SQUsfOjcgsqLuuDjjggNS2pUvdl6u14QMGqJ81a8TS+8GcOan/tdgXrRw7A8OvqXTddMBEPArMGDoUmDlTNRZl1StCZDEaIZx2l1jh+pYbjQ+nwHOz7VYBdGb77PI1EtQaH3bWv4w/J0ecCCG5wNj2mHW47Ra509Da4t69gVhMVSs0JURf1htvJDBggH2d4vHMYHQjVm1/a2tmucY6AKpvek0NsGEDMGpUaspeEcNLZNYvUdwG1Mvmo6E33A45hFPK55JSuM5aLIjd9LxuDelwGOjocFuzPIUuWAEX4NB4ms3eYbZP5h5xkUFCCHHG7QrdWrr6evWzcKF5uuZmWBogTqt6a9i1/aJt/U03qe5jWrl2RpefBoeG22BbkW0iecfjqgGyYIFzWkKCws2zW8L986JH+taauV1ZqR9mCofZXy1P/dSBmtEh0gD7vZK9lxEKp1GOYh79IITkJ1q7E4koaGgA9tzTOv6jrS39WLvYPs2IGDoU6N5dwbZtqlEwb5462+Dnnzfi88/F63nggUraYodaW798ObBgQWPauRjPTaNbNyV5Dn36pCYrsVM7vK5lYoWXDpas8aH/X1sR3Zj2yisVPPQQsGmT+1nHCPEDxoEg2IUInVfYyDlSZ+5kfEgVLGB8uMWvFWcJIaSYOPZYzW3KPP7DaHzot9m19b17py9aWFMDrF4tXz9NLTEaBjILx55ySuY2u9iOIFYr9zqy63UGLCsiEdVYZCwIyVdKxvgg7l2wzEZXjP+b/dUbHmYzXVkda1aOWZ3a21NSuyhOqoSMakGFgxCSD1ipsUbDw874kEVrn0eMABoalKShs3272jZrixp27Wo+Am8WC6LV//bbEwiHgdtvT/mXRyJIrgWlda71yMZ32L1frIwT2Q6TX4aHaHyksd5jxwIDBih47TUgFktd75kzZ2L27NnWGRFfKIU+wvDhjVJxIFbb9IRC/nu75JwgY0CKTQHREDE+MgqyMT6sjA23ZHGxYUIIKRisYi78MD70qAsWZpatsW6dfJ7jx5vna5a/yNTCsmqHH+8nv9xOZIPQ9X81tWrlSmDxYvEyCZHBOHOd22e/6IwOkkSqSa2oyFQtkhnZKCCaQeBkeDg9rGbbjA9nKGQd9GjEz5EIxnwQQkTJxow4+jKGDFEwfHh6LIT2ETU+zOIKRNG33XvvDfTunRodralR3xFamtbWdONg7lwF1dXWyrYxvkOP07omQbvrupn1ymmfqPGh3S+rYP9x44ARI5Tk2iuE6NG3TW7aqZEjzWfEEjVKSsLwoAIieYCDYWAVxyFjfIiWa4XdKBkhhJQaDQ1Av36Zbld+oB/pNFuvw/i9Rw/1Y4U+CN0J/fvDzTnp6+0nQcSAWG2X7b9o96iuTt5dmRA3yD6jVvHGBdCnJhJIB6G7MUD0iwfauVzJjvhYPaTjxgGAkjR6wmF1VG316nSfV1m4xgchRBatTYjFYlnxsTdTV+rq1I5nLKZ+9zPuwy+CDD61cs/KRtmi5fhhkFiNGmvnbDS4wmHg3HPVWJ0HH7zaugKkZAiyDyOjeJi5+mvr9xQNVEAkEgu6SBmVD22bG0nZzb0xrpaujfjt2CGfFyGEFDp6hSAfZwl0086bDWCZBZVbBZpn8zrk0hXLid698/OZIMWNWT9RQ2Rha1L4SBsgVgHeRuPDzOXKT7crUf9Azcd5xQoqH4SQ4sfYFk2dqvpgBzHrlVfcdi6cOuVmq7bbbbcjiGD1oFy0nDC6yOmVkPPOuxCzZ88uiRW7SW77NVbGh9VC1NrfsrJAqpM7qIBIJBZUQPQPlPH6ZtP40AhCtmPjTAhxix/tx6GHKgiHVT/+118HfvnLsrS8Bw5UMHasmtbYic6W8RHE6L1M511EEZEpz+tUvH6kk3FJNsMsTiceTx3/4YeX4ZVXYtAeUb7rigs/FlqWyUu0L2e2LIPxb9G5YOURf/vb33DbbbfhX//6F9atW4cXXngBJ510UqBlSr0GqqrMFRCrh8jsAfL6QrJqZO2mBqa8TAgpNhoaUv8vW5a5/5BD1L9WC/DJYjUDltPAlFVaUfwwVkSUD5FrI1sXmfRur51fswVpnbvLLgPef38XfzIlJY9I+2DVbzT2IYuuLxfkSugdHVLJt23bhr333hvTp0/Hj370o2DqZEDqzM0WgrHq+Ns9RMa0omVb4TQ1ZDgM9OunYM0aYM0aYOlSdQ70Cy8Uc8viCBAhJJfst5+Cujq1HezRI/2F/PTTjdh991Q7tXatgpNOcjfa7ycyhonVcW6PcRP3YVeu6HUM6jxljQ+30yUDQK9e6avJ0yWrNJFx0bJLO3iw2s9au1ZBPJ76bmTz5tR0vU6GCBFny5Ytad+rqqpQVVWVke7YY4/Fsccem61qAZA0QKqr7Rf5s3O1cvsycmN4GMuqqVE/2vogp5wC/OlP4nUghJBcMmKE+XZtVis9M2ear3TuJfZDVv0Qae+DVENE4j5kjDOvHR+/Y128GB5OdenfH7jxRuD++53zIkQGp9+cPl5Y+2jPuhejOm8JMgakUwEZOHBg2mZFUfJmMEFaARF9mbiJ+9CXY4cfD+KoUcDChapFvn078I9/AJdcYm6ZcwSIECKLm/biwAOV5KJ82t+aGusR/kgEmDRJwbJlwOefN6btM1sNHFDbT1EjxK6tFWnj3Qw8+f0+tosHkSEIFy3ZfLwqHqIqT7duwIQJCn73u9SCcqSwyXX/pX9/++fIyvgwc88i4qxevRq1tbXJ72bqR66Qup1WD4DTNj8Cyv1oYPWMGJE+qsgpegkhuUZrk8wChfVo7lXhsLrGx9ixwOefp/Z7ifmQHUV3UrlF3xlOuIl10Aeteo0LDLrz45S/1bpXXvK0OqZLpAMNDeWYOFFdP4uQoLEyPvT9zjzqO/tDFhSQ2traNAMkn/BsgMjI6zIvEFmVw+s9PPJIoKlJXZCppUV10VKUdItdP4KQ69EEQkjhU1amYMAANaC8ri613ak9W7IEOPFEddarL75IIBwGTj01Nd2uE25UZFmVW1b98CuY2ixP4+w5Xt4XQcSD2OEUd+mlLKvjOlCeNGw1A4SeAKVFtqfprapS+1vhsJJhfGjPaQHMLEskCEwB0RB5qfjht+r1eG26SkA1QBYu9FYeIYQ4ccYZqhuV7Ij8ypXp381G9/0KQHdqO90YH34r30aMLmbG8rxM55ktNxARxcNPw8PoqhaJpM+0Rkg2MSoiQH6sXeQrWVBA8hnfYkC8zFKVVqE88PGrqQFmzABWrlTw0EOZSgghhFhhNyroZcTw0UfVdmj6dAX77w/Mnp1IdhDNjA3NTUv7X8PJvcsOUdXDmL9f7wdRjHk6GSSyBLkegR+Ghx/vUS3+qF8/BTNm8D1Y6Dit4eFG4fJDAfniC1UF1uLetNg3MwMkH/qHxUprayuWL1+e/L5ixQosWbIEPXv2xKBBgwIp09Xt9Kpq5PtDFA6rikh9PfDKK7muDSGkVDHOZKVt69MHOPVUd3n6EQxuN4IuYnz4PSjlpPZo5fk1gipqwIgaKqIGml/xNKLHV4Y7EImUo6bGWxmEWNHQkB73oWFsT4z7i4I8UkA+/PBDTJgwIfn95z//OQDgrLPOwpw5c/ysWRJpBUTEHzWZeYCjNEFPoRgOA717q1NaLl+uzgaiHwGiPywhxCtWnfZ4HFi+HJg/P7PN0TjzTOeYD79mgDI7xqyDoEfW8PDyPjA71uy6+Km2iBgzbjpMIjEefl8rp7Lspt8nhUmu+i5NTQra29Vnqndv9a9ZzIdR/TDrfxL/GD9+PBJZDrKRbsbcxGsEYeDp3Qtk6iKaN6D+MLRZabQ1RAghxC9aWzOn2W1pAbZuzYzz8ILfg0F+Gh9BDQCKviPcYnY+XhUWJ+PDD/XKDfnutUAKhz59MlUNK+NDo2gNjyBXQg/ST9QnpM5cZvYNN42mHVY+zn5jlmdDA3DTTcCCBQruv78d0ehN/hdsA2ffIiT/cfPbfPZZVeE499zUKsBz5wKhUGNantFoFHPnJtCvn+oa6uQeJbLgl913J6za93wwPLJZhvE6+6GwiNybIM7LqpMXiajPHClOstWn2LEjtcaRNp1udbV1rIf+edR+V0W5GGEJI92MuZFv/SDo0Sw7tAZ44EBg4MBiNcUJIbmitRXYtAnYvBlYtgwYOTIzzR57qC4LMsqvk+uVV1cst8ZHsWDmOudXXkEZHm7y2L7de7mktDGqpXaqR1Gvfq4nyBiQYlNARFUNv2YsMHt55soIAVQl5Iwzclc+wNgTQvIN7bd46KFKss1bsACIxTJnDbL6/T79dCqt3vjQ0p16quJqul6RTqwf8SCyLhJu3w1Ox/lpAMhgNtuY1/JFvAuyQXMzsGxZ/ndmSAo7rwk3fYf2diXtt9XaCixdChx+uPPMaO3tSrKfrSkf3bqpf42KiH7VczPoClhcSBsgog+GiLEi4iYQpBGyaJH5QoN2P1Dth+KHAZAqbx8APRCNvmOat1m9aIgQklu0395HHykYOza9fezRA1izRsGLLwI/+pHazsyePTvjWKs8NSoqFBxxhBon4ke756frlYaV8ZGL0Us374cgVQVZVzizbbnsdHWgPPkfyV+CWDRw7lwF/foBo0ZluuCFw+q2995TsGABMHOmsyFipnxokxsYDY+SMUCogIhjFy8jY4DYjRZZuQzot1u5F8iQSyUlk2cAHJDrShBCXDBjRupFqq2xMWIEMHSoOkrohSlTUvlaYdfpDqqDm+11PWTw0+3XLaKKiMj9KQ+o858yLuwJh4GysmL3hSFGzjzTep82QU9Dg9rO2aH1sUOhVMyHpnzo1/zQ0tpRtMHoJUqgMSBOxopdYLnsDFeyBkVTU+p/PyRKK8zyikaHAfga0eg6ABsA7AQQyjjGrF5+LB5ECHGP9lt74w0Fe+9t3uZpf5uagBdeiDrmpfH22wrOOQcYPz49nZuRdKd0sh3sfDY6/CIXxotZ2qCMDrMynAyRWAxIJLYEXh8ij5/Kx9y5CgYOVI2K3XfP3G8cUNcMiLo64JNPFCxcqLZ3bW2bEI3+Fg8/rGD8eNVQMZvpShvQNsZ/WJFfg8Y+QQVEHM1atc3QISgRSF0XJ0NERvWQNUaWLQO6d3dOFwzPQ5W09Q0/J1onpJC49lqkLdBmpvQuWyaX59y56cfr83bzAhYNZJYdWfRicAQV/+EWNyqFn5gaG373tmxOohwdtkbI1q2AOlBGiplp0+z3m7URmhExdqz6WbgQeP31HgBUZVg7xkr5MCogdoTDBdGnJhJ4blrdvMxCofQHycq48PLSdTqurg7I5por0WgZgBVQ1Q79C6cW0eggAKtNjomm/bXaJvKdECKO9vt5+20lbXs4DHzyiboukJWaEAoBa9cCH3/ciEsuAbSf4syZMxGxWNEtElGwzz6ZbaOxbJFFB0X3iRodfqobfgS8B10HmfJ8UyrMbqyMX51M/ibH251HdTUA1MqXSfKKV19NTZKhKRda7JrMAtN2NDQARxwBbNigJFc418rTDI5QKN3wEDVAilIBCXIdkAK4YFJnbvWgiE6/qF+kyexFKxJ0Luqi5fSyrq8H1q2zz8NfPrLY3iOblSCESGBmx9u9L7S2UO/iKYI2+mgcmHG7grlVOi9uVNkOAM22UuJ0nCdjQ6QzINph8OqPZxGgYnV+qs1MA6TQOeGE1C2XMThkDPahQ1MxIfr+opnyoW03q4+R9vZgvZVIbpC6naGQtxlPKirEjBDA2f3AKrBdFNX9SsEddwBAVO5gAVJKRQuANSYpxAIA0/OK2m4jhPjDF18oGXEYgL1Lk97Pub4eWL9e3a79RmOxWMaxZ56p2L5URdRcGXVDpJ12it2zIxszUHnthPhiaLgdXbQ7zq+LJ2q1ajMmONC7N7DPPkUS5FOCvP++ghEj1DbJbH0N4yPg9N0JfRycqAEiStEFoQdpVRWAtSatgLh5genbQxEjxC5PO1Vapv3u1i31CZZVJtv0xgedGgnJN845RyydmfERDqvuDSJoLgkiZTjh9yrkovEjDt49nnFbV1ksDQ+/lAmZ9CJGhIyhYZeHgxJSV6cGEpPC5JBD7H/LVq6kIt/NMLaJQKYBom8v7dAeXaf1QUhh4osLlhNtbcDrr6vzRE+apGTst1NCAOsXnIi7llWAe1MTsGJFI44/Hli0SPRMnMlUJJyUjt0Qjf7MNI9odCOAOqjy9wBXsSAydaWaQkod7Tcg4uppZXxo/tXGPGfOnJncduaZiqnxYfxuNTjj5EIhGw/ilE4kP9nBfbcjq2b4EovhZEDIGBh+ulxZpbUb6bMzWMyOszFCYrFyNDUBw4eLV5f4i9t384YNSlL5MM5CBWT+r+HVRcuYv/YxGh52v2kzga7oDBAqIMESj4spHNoDb5bW6gUnGjNi1na3tjrXyR8qoQaeW2EXA9Lc+ekB/TS9hJDsYDfgYXxBWr3MzRBRPgDnNDKuFKJYGR5WnXxtBiXZ/rBduU7YGhyiBftlcPhlbMj62tmdp8hiW3YPt2TVSH5iZXwYDRGja5ZMWyJigFgZHl7bDFLYBKKAxOPACy+Yr4z58svp2ydOTFdERAwRrQz9NtnZYZYtA3r1sj5GFuuVjYcZvv9XIK8vkHLNCgHYBuAzRKO1iEa7pJXnpISYr0NiXldCShXtN9Gvn5LmK63R3q4OWixalNmuTZqkZLzUlyzJLGP27Nlpvz2vs0tZvcS9vLgtDQ6bBjZN49VlUKnLy26aV2H1wqoOfsZVuD02qCBzJ8lf5hgn5cNipLChQV0QU4tpIvnLV1+p/anevVXjw9gu6WMvrJQQ7bvZ/1ZYKSZWBoegN2Byu0xdSOEgbYBkC/0DbWWMWCkdVqqHntZWfw0Q/9H/otuhGiHtALrkpjqElACjRqVG6/SxaoC6IJsZ+pd3PK6mc5phz0swpVnnwG4UUpYMg0BrTN0swtS5T8pFyo0y4WVmKL8NDdn0ogaUgOuU9HaBQPS6OnVmIxog+c+oUepfo2FhjL1wMkD07ZPMQIlT2+TGlVPWGCoo6IIleYDDEfE40NIinp/2cBtf9nqsjBEnI0SrjxnZc8FSiUb/1/mfsecRMlEvvrDIJYZodCWAXZJKiHO50bS/fqUlJNdYq45Rof1mvPlmKlZN7zIQj2e2URMmKKiqSh9hXLoUWLzYXP3VIxKAaURkhNJzLIS+wTTzOXM6xlipoBSIIAyBII6VzUPErUq/z0n5EHHNcqhb795qIPMTTyh4/PFPEcSskcQas/Zqxw4lzaiork5fKFr7W1Wl/jUuBGh0i3Lq5PvhzumEiNcgKS6kHqsgpkBra1N/BCKGiBlOaofVfv0KxtnFeBG3mKSpRcoFqx2ZM2Vx5ixCgkTkxVlXl6l+NDf7W4bdMbaGh9c3tqghYnUSMlHnQSge+YDXGBLJ2aukFA7BKXgBoDLcgXC4HF27AkC10DEkWOrrU+5UZgaEcQVyvRJiF5Cuz8MPRAas9WmdRFZOwyuZd57jiwKif2iefdZ+9M84Ovn6641pM2M5GSJO0/Y6DQxp+4YPt3ap8INodC0A/UlUWqT8F6LRSgA9EI2GO4/tI1FOtPPvh0g3bvoBOAPR6Fs2x0SFyyGkUPDruTa2G1q7M2mSkrGSb0tLZtybsR76WbD0o5Wy9bCNzfB7tN6p8y/j+uQ26Nvvc5R1x/LyIvf7flhdT+OLz40a4uBqN3AgUFExBL/8ZRQA3x+5oFs3JTnwoakbxuBufZ/WaHAY198wduzdxKXJDhoDqbZU5LElxYtvJtLTTzu7HQDAgQcmcNFFqgIRiajT4X7ve2UAgH/9K5FMZ+aDrWE0QswsZydrurraHwMk1ZmvB/AN1FiNTUg3PoyUA8lORBui0f5SZaWXuysAbR5hvWW2DcAKRKPfBzAYetmcLw5SDLhxsdL2O03aoBkTp56qpH0H1HZLe4G3tGROrCGKTL82UKNDRGFwW4YfrlJ+1MVLzyafekKiyoXLeA+rtOXoQENDOSZOBKLRawF8BrpiBYu+jXruOQUnnKAagZpRUd0pRpkpGWYuVnoDRL9fw42dHY+LGS3GvpxoH85YVtERCgWnVBSAXCR15kZ3AzfccUf6A/vQQ9Zp9emcrGxZI6SmBti0yT5POf5p+K6f9cXsQfDr4XgV5i5ZmwC8AGAogDN8KouQ0iIcNh+o0NrCZcvc5RuJuFj4TqQj7vQWFynLD5cnv2MuZFQXDb+GU3PtyiATx2HcJhtHYkyrO/6UU4CTTgJOOCGEd98Vrz7xzjnnqC6fVVXq4sl6Y8KohJh99AqHlduVKCKCnDG9WV/OzAixyydIbyWSG1zfTn3nPhwGpk5VEI8j+dEesvb2VDtmFncxYgSwxx4JTJvmtibi9dTTtasqZz7xBGA1YGo/le0YAFsQjW4D8JVuTwhALaLRbpbHZuZlX77ZdzWoPQb7eJCdUA2RjwD8BcBxjnXRl0OlhBQifj6/ZsqulZup6EQPS5duVo0P2Y6+GyXASxyCTNC5LLLuWDLn7nWUTGboNRs9Ii9xHHZxJE7HGNA6gIccAqxZsxdOPz1TSSTBUFOjGhr6YPOqKvvFBY0qiLbP7K8TbrwA9dv12/TeLWbLLpSUGxZjQDwcbDBCjA+ayDvjpJPUjxNGlyy71dOtBgH12/v0UT+ff+5ctjmvGb5rikYlgN0ABD1noVnwuhnfAvgTgH0DrAshRJSBfXemZBUZg8Npu1vcluOnAWSV1o3yIRIkL3K807F2ErsIskaBXQCmnTO91XarYy3KLUcHOlCOGTNUNeSFF8SrT7wRiajKRySiDp7qDRE7lcNoaLiZJa8D5UL2r93jZGeEANaxvcZyC6BPTSSQdsEy22b1oFm1iSLvB7O2UOahtYsl1O/bc0/gv/9V8M03wN572weRpu/rb/geNXy3PNQXotFxnX8/tEmld/NaB+B+ABUAVguWcj8My4x1UqObVtiqflHBMgjxh1w9c9LlxmJAue535UWl8AM/DB03hpSbOsi6X8leM6fhV6fhXxmc8jdLLztkLRIH4mB4GI+pqVE3PfaYAsaBBM+QIUoy7kz13Ei5YBnjOhyNDqffg8nzpR1vXEzUrH9nZ3SIGCEadhMNFRVUQCQPELBuRb5r2Pn72e3XcLKcndr4sWPVxXuWLvU7JiTfWNf5GQKgTvCY12AeqzIAQE9/qkVIqaH3VdVvy2V9ZLb7nUcQxoeb62l3nIy8LlKOFU5GjYzCoW2XSWv8a0hTjg7U1JTTHz+L1NSoH834qKlJd2nXGyBJYyMeB7RHScbosHn+rAwRY1ayRghgHqRupGSMkhLCUwwIIKYAW0l1xnTGfWb5mj2wZn6EZvnbvVvMgtILdxTfLsB9A6LRDgDDEY2KuIm1m+RXm/yP8SKkFHDzfBuPOfv//g+zZ88Gtm0DOnQdBT9x49TttR7xONDQgMY77gAAKJMni+XpNQ7EiIgxINr5t8vT7qUicv1FlRM7VzAvrlai+Wu9Rf1fqB3RcFidEev006MA2P4HiWaA9OihGhuaAaIpIGlGh/6vKHbufRaKiJ0RYsRqANrMENEwm3QoFCqIiZ3koAIijvYA2M1cIKqQaNi13zLynVY/wNpStns/qYssFSKyv8gtnZ+9JI7RLqhWVlcAOyTLJaTE+e479e+OHUBZmbkCIvrS8PJy8dP46Dz+u3Bt2nfhfL26btmlt+u42+E0WiYzgmZXF316t65XMp1HJ0PEKg8TIyQcBg44wEsMJRFFM0A040MzQMrjO1WVw43hIaKUSWRl11fTFyfaDxQxSEjh4+qJM1qh7e3u2k8nd1Qn40ZEvhMJbIrHgQ0bUt8LaTQnGt2n8+9im1QhZM6WtQTRaG/d9maos2rt7Nxm94v/HNFoD6izfUVd1JqQ/EBkzRCveZ16qoK96r7Gmk8+UTe0tKi9CTcj9cbtZulkOt4+KTBdmr6EcsEF6sJOra3+lOO2bqJuUSIBiE5KgqyaYVW+6H6neytSN6vt2svSaBibGCHl6MAhh5SjoUHBjBmpmEe+D9xjvHZ9+igYOxbo3TvdCKnETiAWF3PhzNEouJU3o5Mnox4zhaQABvXl4DogEonD9soDkL7CpZ0qYrXdTYyJ3erpTqpILKbm1dJivr9wMT58+u/tSMWEyKC5Y7V0froC2N1d9QgpEfaK/wdYE1NdrwD1r5vOsVWjKjqibZfGqQPsxJo1cuXJIHut/DIK9GnsfIpl8jOml93vpJhIutNIb9cxaEAH6urKMWKEbTLikrFjU0aHpn6UoyNlfIj+zkV+x5KdYKMblpXqIWIXOaXx20uV5A+uTC+rlS/b2uSNLuPvw8poMftuJtvZrZ4OZBoic+cC/furs18V9uiN3YVXG4podFTa1mj0P7BfR8Qq/wpEo3uapirsa0hKBS/Kh3Hf1KkK6uuB2vhGdfQ/FlNjImbNAgA0ds5Xevauu6oHbNiQ2YhaLUms/1/fuHpZwtjsja5vOM0aeKcyguolWDXo+jqK+vFapdEjqn6Ixn646V3Jqhhej9G2ay9HvRLi0IuMRIAf/Si1IKfd2lXEHKtrNGBASvmoDHeo7Yo2YmqGqBqaRRlBZGxExjux6BQQxoBIJA7bt5tGJcLY6ZeJD7EzNIzHtraqn7o6daTAzl9Qi2GJxdRjli0D+ve3Tl+YaC/nat02q6AxrVNjZ4jojY9yyMedEFK8DGv5J9DU2Tloa1NjPMzQFJAdO1JB6IDakGmNZCiUasAqKswbQi291sC2tVmPCukxNoxWsrC+Lvpj7crItpO2ncEkMuoropJYKRBBqx92sRpulA+rujjtM8R9mO0LhyvR0JAyQIh/WBofosavH8aHRGyIXV/NWLzIeAUVkOLHtYlk1w7q3wd6VcTKEHF60IzvXmO6O+8EXnihDADwr38lbJUQjddfB7p2bcQRR+TvKI35CuyZ29TtYxzzyvTTLQeSc4TbGxVO+ROSa4KckU2fp3LddUBzsxrv0NKiRuK2t6c6B21tMPVL2bhR/bthQ2oKGw0zdcMq3sONEmJsNJ0aSLN8rQwrGfwalTMaRxpavWVGiWXVBK/qh3aMG/XDjfIhc5z+u5UCottWDmCffSqxxx4K5s0DPv7YfC2tfH3H5hKra3LmmQoGDNAZHq0WhgcgZ3z4jNlsWKJGg8xPhgqIh7zzHGkFRCSNMT7DThGxUkNErGm7OjkZIc3NhTzzlV/07vzbDnVmLOMF09SOymxWipD8ZuFCdc7ubdtSI5NA+urm2v969B077WPXqFqpDvrjjEqICLmYUN/N0KcdZioNkK4emeEUQ2GXRkb90HCrWBiPtauTzHa7/Wbnoa+n0SDp/L8yDNTVVaJ378zDiTy9e9uoHiKKhN9GiYQK4hWqHqWF9FMlM4CkbTdzzbIyQoz5WFnE+u2XXgqcc04CdXXp6eyC0wcPbizIURnZESURFUX93h/R6FJDykoAPRCN9pGrJCE5xM9RV2MeyoEHAsuXp3w4NcUDSPedX748dUzn9jXaNLyaKxbgrGZoqoNILIgMZo2iMS99Hew6ICKBf06Ggb5MmQ69kyGiYeamZZevMY1ozIZdHsZjnOrgVL5MfIdTGXbbBUYFy+NxHHZIBOPGKVi2DHj55UbTdMS5Xaqt6Ui1LfpBDSPaPRMdGfaChRFitSaIk13rhNfjCwYqILlHVO2woq4utSqoEzt2FMeMV9auWObb3eSV2i+dJSEFTYbhcdRRqstVUxOwdavakGzfnnK9AtIbMf1UtGb7jQ2eVewH4L2BNMOogujLN9bByV3ISVFxcpfS4xSbYdVhtjJEjOW6VUZEYimsED0PETcpEVVE2ydz/azOwaiAWB0bDgOxGLpEIujduxxnnqkgHAYefTR9gpdCHPTLOmaqhyhBdjoljRB9lYraiCCu8eVpdfOAGRc0dMrLzl1L+w6YH6t3x2puVj0o6H5FCBFmxQp15GLHDrHRyXW6Ka6NHYlYLLOjbHSr0rAzDAD/OhzGzqWVa5fV7FN2bh9mDb3xvOzyd2OIaGUYkTGA9IgEKlphZ7x5iT+RUUVk1BWrmBAtrd3LvrUVg3qro7o76brrDr1bp9XzYaZ+eGkLRFwTtXQujRB9MTIUwEC+e6iAFBdm7WNbG/D66+pIzOjRCiKRHFQsS3CEiRD/UK67DnjrLXWdi23b1MZExC97xw4oVVWpNT9EYgHMOoUyxohbjJ1WY9kiCoZsLIKd65SVu5SMIaIvw6wcrSw9du5hosqMET9jQERiUtzGhFjVw65Mo0Jm2F4ZCePUUxW8/DLw5JPAxx9/CiAqVn6e46cHQgZWhqCd8WGH3x1RDzEhXmM8CqBPTSTw5XZmS15zUkH02/X10k/eUlMD1NcD69cHV09CSJHwxBOq8qHFfNiNTmqEw6m5wTXi8fQOsZ17k6ikrFcp3OLW3cvMGALkYxHMjAQrdynZEX09TsaIvlwz7NYdsSrTLK2Tc7udi5Ub9UPEEHEykO3qbff8trZir4Yw9rosjLVrK/Hxx+ZFEAP6wY1clK3hpOoZ9jupIHroltUJV0IPhlwZJfrym5qARYvSg+EWLGBwXDHABa9IkMyYoaDvFx8AS5emjA79ImB+NXBeR7Fl4i/MMCoOovUxGj+ia5HYlWOWJyAfKyJjjAByQfQi9bEqV6RuorEeMoqISIyIvl5WL1SzehuVD/0LWfd///6VAIbndSxIEJNW+Jl31nFSzWiEEI8UnKAlOmDY1gasXJm1ahFCioi+b/xBDTbXVi3VRiWDGJ10Mjg07PwXrDoJIp1tMyPEqj5mxo/dgogihoKdYaPlq+HFGDHbr5VphVvXLZGRZNlrY2U0uNnmBStlxuiKpWOPPYCjjsr/Edm8Rdbtyk+cXCA9GCElD2NAvOE0WOIVEYPjT38CFCW1EOH99wMPPqh+50g5IUQUrX1QHn440/iwIluBoCKxEE718Oq25eT/baeEiI7G281oJRq4ruFkkJil0WMVQG9VJ7fqiGjsh59qiNV1tyrHqs5WCoi2Lx5Phk7lE370BYYMURdgHDzYZ88K4zX1gh95aPkAQs9aeecCxzREiB1ZM5GM7w27QSdZae6tt1L/x2LA44/L1Y0QQtLYvl1thNraglM+rPBiiMikEamHm+OdjBCzeom4l4nEbnhd78Mprb5edgaSHwHtZgqDPo0bI8SsLJHnyKm+Vh1m3fdidLcZOzZtyR//8Vu18qMsiWeNU/Q6QAXEPaLqh+gCvVY4PaTTpgHjxiUwfjwQiQDXXQc0NSU6r3/6POQkGHKtNM2cOROzZ8/Oax9jkh283Pvksdo6Hzt2pBsfdh0yqwZf214AQYFpBPkCE3E7M4sRscJqNXgng8SsHNG0doHtojNsOblhyRgdblQPWUSVGsO28eOBfv2ASy9VsHix+WxYuX6HyKCtcxKPq+fW2qqgqQlYt84HJcRtr9zPe2usj0hZNEKIJL6+YXL1EI0bp360OhxxhDr7pV4ZIYQQYYzGh1Nn1OwlHfQIlF+uFUEgGpRudw4yHSIrY0BWkbDK35jWyjhyo9LYIWtAZPOZEHWpi8fRt3oL+o4Fhg6txeLF1dmpX4BoU/mHw8CIEeopNzcDL7+cxUpk617LqJb53CblI1RA3CFqbJipH04Tt5hh4VqaUae2NuDVV4FQqBFVVfk9ikLc46R02N13PhPFieh9Va68Eo233ZZ2TDL2o7pa9ePcscN6RWJjw+6n8SFznF1aq31mHWSZDrFM/dyoACJlOBkmdlP7uqmPWb3cGiL6usisd2KFG/cskVgQ0Y6knfuVybabbgLOOGMIrrgigdNPLwzvhMmTVbUjEkn1F81ub+/ewB57KLj2WuCss9KVkGg06t8aIbIxQn4hGgNiks4pJoQqSGni21MahOuVbHna1PvLlgEjRwZXNiGkgHnlFet9mtGhn3JXFtmXfwGMVPmCiBoBiPurV1WlOsvacVVVav5axLNd0L2sKmHVwdbqo0fUEJEx/uzqEQReyrHoKA+r34JhDRE88UThrJLeu3fqf6vbGQqpn0hEfQQ9UVenrj3kpUcuGkdmhazKRuXDHVwHpLDRv3seegjYffdGjByZ/6MqxYZxJDlbsRgi+eeqbiS/UCZMUEcndAsEJpWPHj3UaXe1lcuNbldmL1i3yodX2d3pWBn1Qxaz6yA7s5ZbdyQ9AwagccECAIDSr1+qTvvth8ann4ayzz5qJ06rn4bMIoQy0+s6GSJW5YsYIW5iO2Q7hFYdUqeAeRm0OsViuPzySrz+urrZqX0Oup3W4jk09P9bPS5Wt6ymRo118UJZpwWTWLtW7AA7Y8OtEeOkSgYQb0QVpPQoijnSWltV/8tAZ6MghBQ24bDa4du+PXNfS4t1zIcfb0W/fH3dGh9B48avFvBPJre7R6GQOqpcUyOXp1PdRGdhyRZmPski++y2yewXoTOPPfbwnpVf6F2r9PNFiBof+mNraoCGhkCrK2YsZqNMF+VprlhWlJyIon94gvjkOXlbQ6M1bPa/9vfDD4FNmxpxzDHZqx8pfIJc+ZZkD6vZc4zbyw4+GACQuO46KFpntLU13egw66iJKh1+xoL4nQdgrVRYjcLL+pOLKA1muDFCVq6EMmRIZozOwoVQhg5NubCEw0C3bmhcvBgA1H0i7lH6ujkFsMu4o7hZh8XOjSbfOhkibmrxOHqGt+C66xRMm6Z6LdjhtxJil4/TrdE/Ctrp6P+OGqXGuSxdquDvf1djUUXKFa1fErsJAERw89xkQ4kjJUXBPxkvvJAZ7EVyh5l8ns17IhJ8bkyjXHed2hGNRLCqqRLhMFBfn1LWIhH109wMPP20+fPG5y77OE3bed11Csr//jegqQnXL/0/TJ6s4PmzXwXefz/lhuVkeARlVGQjTxlk4hFEOhUynXw3tLWZu3LFYqauUcoFFwCxGBoffVT9PmQIUF2Nxo8/Vr8PHZpZhpfrYXWNnK5HNp+DoDuHdvnH4yiP78TYsZVYuFDBs8+2Qfv5GtvU555T8PHHazL2+4noY9rWBqxdC7z8srnRdN11CmpqVPt36FBgxQr5umS8n849Vz4TJ9wGq4s8Mw5GCFdK1xGkUpHrd4oAeVNDUf8//WAX/QWJLzQ1qX9bWzFI+0U0AbUAajunW0QMqBu6aw4qR9xS/sQf1Hvb2oobqj4Hvgfgvc3qTqOMqv/rxvCQSS/60nHyw7Y6xi6dm0X0vASdBm2IaOgNKGPdWlqAN98EBg5MbQuF1B5ipwGShtu4FDeYDalbffeK6H3088VqnCVLIxwGWlvx8xkRbDmnCyIR62s+YwZw000D/KuTAdFHU5vb4MEH1QEqM8rRAcTjaGhQB7LcGCCO+Plc+BHj46Mhyz5daeHLU5OrhybIWbaIf+SbSiA0wmTyUJfHvsOVVyq4806grY1KSC6QmXQAW7eqPYZYLBWQ7NTZsjMarPBbJXHy8ZYdgTRD1hWokGe+0a7b1q3qb72pCfjvf4HWVlUZWbYMWL0a6NcPjfPnqwHs2ixabhG5LnaGjsjxubj2ft1zXUB6bV0E48eXY/lyBfPmqUHhV1wB9O0L9K3egr8tAU48MXWoX6r6uecqQuk2b1YFU031sDI+ACRHRsPhyuRaIbJYnlsh/NYIkcDVE50Ng0MkBnTHjuDrQUoUs85WczO6AJg5cxBuvDEntSIytLSYr+Uh8yKXNTzcINugioxaihgrVupEEEpINrBTQQBgwwbg3XdT31esSA1RV1QAY8cC8+erAeuaKuonVgafrPKRK2XES/6AtfHf0oKfnNK5b2bm4YeN+w6HHRBG4yx/qqNHxAZfuVK1UYWIx4FYDJV1EdTU+OhmlA+/MTeDM4KINoFFp5DQBSs/kHG/0tAGNQGOPOcbhaQIlPXvD8Bh2kOdj2B56xZcfbWCX/86Uwkh/iDz3AwcqGDlSiDjEG2NCNHAcj1eXrYiCoVfLklO5+JFDTGLCxEJMpYpQwazmbZk87RzCVuzBsr06apbVu/eKDviCABA4o030l82bjCWZ6V+ZCvmyIjVLEd+BSs7bRd4jnv0UDBnDnDiidlpcz/5BJg3Lz2Q3BHtOsZiqKvrosYXAtgZL9cLcbj5ZuDuu8vSDjWNTWxqys7999PodTCo3cZ/FJ3xQeSfBNGHwMo9yu1sjWY0N/uXFyGOaA1pSwsqm1bhmit25rY+BADwEzyCG074Z+aO1tZ0BUREVgXMX6CiI1W5couxOx+RgDmrhtmsIXdyEQsCq/rZvVDs7rfxuLY2dZh74UJ1LRi9n01dnbeRSjvjQ5+n1XMnipOSEtSzaWW8WKV12mf2W43H0dCgilTZYt484MYbN8gfGI8Dra0ob/paNSDWrEFl0yp0aVY/fbt9hzlzBPJpbrY2SP0aORfJx2ssmwNuBp+LBv29DOKT53iuodmDIWt8OL07rVizxnofIaK4VmlaWqBcdx0eeKgc69Y1JvPKterj63SPAaAv14tSpkyaBKxbp05Ls2YNlFNPVV1qPvkkbbFBU0RGmnNlTFjhNfZDJEDdixKibbeqq6wKIjpapc/X7erixmObmvDqqwnVj7/lr8C4cSgbPBhA5jObeOaZ9Hz05+7G+HDz3Pnx7Jpdb5nAdRk3Lhk3ws4048ap62xccYXiaUYs4zEzZqTHguzYofb9Q6HGDFXVqjzZevTvD0yZEk071ioP5YIL1H86O5VfNtfi8cfV941y8cXqPpkeuteBFBl12EH9cKp20RoeBICkAeLlYfBT+QDU53rdOoeAMEKCpLUVaG3FeafUofHuXFemBFm+PGVorFunjkjEYvKzU/hleLh1V3GT1m3sh99GiFVZVuWIrBXi98vCqk5m56qdZ3MzjsMfgc7H65uqQXJ5A9kzPkTwkq+XGBGRdGa/AZPydg1/i13HhjFqVE/ncj0Qi/k4uGnm/hmPy6+Wrl2PcBiLFlnsd2pLRJ+BgIwPGUrG8AiFgvvNBz3zoA94OnPjQ+LG7UpGvTX+xrp1S/1fSDEHpUq+3SOtHjNmKOhbsVFs5huzhr61FTNmKNhvP+Dssxt9GyWTRTb/bN2PIPJXJk1SZzIC0htwbeqZ9vaUDG3XCXJygfGKmRuQHzEgTsaI0+izkxECyAWnm9XDqY5BGRpOwejGOgicZ99v/oP3309gwABgEFZhS90gHHqogh+M+lb11XF6VrKlfLjNR4/beBAnVUymbiJxRT6zY4c6jvH66+YxH8LtmP4dYXxfhMNAayt+/etaLFmi4MILM2PXpNpl7fr4ObmGaFpJQ0VE/SgZw4MA8GCA+PGgiORhZ9i7neaOED19278G3PSFtIczFkO33kDv3r5XjVixdKn618zA6NpV7UQ6vTiDHIXO5ptUNuhXFDs1BBB3y9L2Ablza3PbUdNYtgwHYRnQOTJei4X4AQAsjKgxIlqskYb+urk1PvLFINEwXjs3yojs9Td5bvx+hLTHPB5XJ0rzHWMnJh7HvnVfYuy03XD//R7zrqlJ5unodqrVRRS/lBD4Y3yIhLIVHEHGahRrDIho3Ies8iGC/pqOHw+sWaNg1ixgyhTORlQo5IsSctRRCg4at1NsNgOHUfQurd9izpxd8MIL/tZRFC/XMldxKzJlKkcdlXoDNTenNzhaZy8cBg44AI2dN0GpqkqtjG3syDgZIW6Rbdhk08t28N3EauiRXbjQeD52qohdOllk4kvMXLEAa3csG/6MH+LEY9TZjBLPPZd5Hm6MDz9dAN3mJfo8WRkhdmWLjjyalRuPIxoFli9XMHEiAESd87LAjzZPy+PKKxV0Ce9MtVFW10h37uXN32Lu3F3Q2qokd7W0AG+/rX6vrwcGDADuuCPVtzHW2fg9YWVBOT1jIiqVCyXEbMYr2TkLSPEi3TplS/nQY6WCDBigfvQL3BIiykENXwNOtoeZC40e7eFsbcWYeiBH9kfxY1xSWN+xa2sDqqvV0cBRo5C0Aisq0keYZAO8RTvPovvdpjU7TnYUOcgOvl1HXbS+btx09OTI31kT4hzx29C1y9/PckRUjiAUOBvDZlD4aww6oA4jRnQxXcg+F3SJdAAxg9uV8a+eTles3cIxoHdYVdE61fRk2t69sSVWKVeRujoAasc/FlO9RMrRkXIv7rymO6HmWxn/Lm27JS6eLxofAlABEcfqgfBzRXI3D13nb47kIfkwK5QRofq4eRBbW3HddQpuvDF7apx2LsrkyeqKWYBzp0/rrPXrhw9i++LNN3OjHprdB2Xy5NTq5Vu3qo7ZTveiogKYOBGNt90GLFiQuia3327e8TM2+n6NQIviVwyIjLLhh3++iBqiR0YZMdYpH16eTrNphcO45pT/4ZordgBLlqQWLwyFUsfaPVt+PHdBulxpmD1TMkaI2zrZHdvaijff7IINGxJYvhxYvDg1C6Esvr2fjPfWzgiJx1XroHdvNM6alVYPs/qIxhU2GlbIFXn/Kldeabtf5jm1W+ND1PgoCcODAHDpgpUL7AYx8+FdRYoEL61fPI7y1i3+1UWG5cszt9mdSygEtLbigEOAN98MrlrSLFuW3pkVnFJ1S7xL5kbN0LDz/5fpBFpJsVre2SZXHXVRdye3U+LKnpMf6odoHsa6LV2qfrTtdvn4ea+8uskE8bw6xQD5rIb0xdfo2zuMAQN2weLF7rIOFDM3T81Fq/OcOsKSCkcAbIx1Qc/Id+Y7BdtHp8UFRR+3kjM+SlwBKUskEgmnRFu2bEH37t2xYsVm1NbWZuz3a/Yru+12XHEFsPfe7kdASHbI9exQl12mIBIBKsMdqrOtcdYrr24x2t9IBFvqBqX57urr4QfJUf4JE9RzcRpKMht5DYWAbt3wzfDDUF+fvipvEEjFfOy5Z/oGu9HVtjb8Z/Tp2Htv85WFFU1FsYoDscrfDA8N15otWzDw97/H5p/+FLVVVWLl2eFkLMmkF9lvRKbjbzRE3I7c25VpZuw4daDM8nOqq10eRuVD5Dxd+Na7ztOGNWvXYuDRR2Pz+++jVgtudlOOXx0f0XzCYSASwc6anmhtVUPEnn46O/2BbdsSKTcnI/E4dqISsRgy3gUyKFdfje/ilRlNTE2Nzr3KYMxoInIk0umGFVfjU77Z2gX3329elwwlxOFey6xobqy72yD0LVu2YMiQ7ti82bwvWihoferNy5ejVj+dq59lbN2K7kOH5vW1yn8TiRQ9QQSl9+ih2tXnnAMoF3dOsduyKpUgyBHB1lbU1m3BqacqmDMH6NrVPxentKDHD/+mGh+A/eg8kBkIqf2/dSsCav8ykL7PkQgaO4c2ldGj0/fpzrVx+XJgeeY1VvbcU53Qv709cxTVb598p+tvTOtHeTL7/DY+/MaufCdDx43hYZavH4aHVVky9QrC8BBp7/Jt3QBR98DO6O3Klhb0jETQs6E39ttPwbRpQI8eakD3pk3bADQjGp3j63vmttv8a9unTlUwrL5TQY9EkutMoakJSX1Xfx1i6ddEbw506fwgFga0cbZwGNXVgpXxsT3IRdxwwcB1QHJUsMX7Wu8yKYrI7HOktNi4plNS1oaCrF5mQbVsa9ZgLwCHHLJXIO4BXf7+V1V6DIVSUqNMJzjfCYetVxnVKR+2NDWlGpNIJHj/TTs/0SDLtcvPi+HhxwvMS6feKS+ZfM3ylqmblbEhUraokeHlXskqIE55eXk+g3ANFPlNaUHca9bguLERfLs8peJc/+tazJ7d1d86+cywmq+BFpO4lyAHTowItiMy6ofIa8lp7IwUJ3mngPz978Dpp6uuFF99Ze8d1toKPPtsIw4+mK5XhUA2pt89/fTNeOJe2E+tm40WrdPlp6EBSQPEzflrad9+W8HcucCuSzsND+M0tE6Lupm9uLp1w5axh+GO26wXTzTWww/srsOVVyro0vSlGtQbi0E59VRVxWhttbxvypAh+M/YH1vXUd959BIUqx3n9PzYuYtZpG/sdMlStm2Tq4vf+/waNXNSJdy4QlnlZbfdyeiwq5dXhcTrNrvtonUQec7d/ib8cB0zq4cXtDw09aCTQw6pxRlnAO+9p2CffZS0MYwdO4AVK7YgGr0jLSuRNk+0XTRLd9llSnJspHzNKvsBEq+GR+cxtpfY7/tJnPFq7DvlnecEWkOnfpFxwDAeBwyTONgisnwDKS3uvW4d0CKqM/uETad0TP23vkzN+7dr/woshXlgr14J0dfFqaPT0IDx44ETT/Shgj7R5fXnU1+am1M/cv311YwvrXGxequGQurbPRwGtm9Pyd0irh0OBoNjGrNj9J0JfbmRCKCF4nnoXEjvA9y5N8kgqiqYlSXbIfLTpcp4vFfXKZlz8SMfN4aIfj0dK5ctL8+aGUFEJ5vU9eiG/+Hoa8Opc9M+kQi+bumCKVOy7yNfG/vWvi1yo3zIzDZHSI7Ji6dT/xs59ligX78Err3WOe26dcHWiwSDH0rI5MkpdSweB0aOvBqzZ89WJXirKTC9IDKqbWaI+OUfqBke2toWZuXLEAoBsRjGjvWldp5RJk9W41nMRhXMXK6cjA8AZRddBEAXjG42mmiFyDV2O2Js0sFTwuGUAekFt+qGF0NDplPqh6pglo/bvLy4VtnVz40LlJu8/DA8jL8LvV96UIaHPm+nbW7SmKXTXMM02aFzf+/eXTBlCtDUpKCpSZ3UbMGCb6G9nrLiXeGkdNjdV9FYmXAYsLl02nTAytVXO1Q2exS9+xUVkPwhHFZntBLliy+CqwvJb57/9ZfqP+EwUFODq28zSeTF3caPjmA87p8Bojc8zOpmpYLo62OktRUnnID8WMxr2TL1r9XIq1H10O8TRd/BNEqzVnKtVX28YBZ4qI/j8Zq3HW7cmuyQVVjsOvlOxopVHmbHBmH4eHFRyaYCIjpabpWH1imSjeWQURO9TIvk5Tdo0jZWtm7ET6ek8n5n6S6YOHEX92XI1MVumx/31IDQmm1Z7rjm08zmJLt4ftL8XIRQllAot+UTb8goIZZpOgMPLzzlFFUB0WY8AtJH8dyMSHqk8eWXTbd7UoCMLyLtXCsq0n8MdiPH3brh+ebD8KPvlbmvh08okycDq1cDZrEPVsaHSedlxAjr6xpNDWWqZYbD5p1b4zYRg0QGLf9QKNgZSgQW0JParsfL1LvGMmSNBLNj3OQjkoesYSCaxi9DxGy/H2qIli4I9Vi0p+mnMWL2vNkN5MTjGDsWuPNOoLlZwbp1yWYjDS+xH6Z1M9tuV3djev11sLomgvdUW8xQue46yzTl6BAKRPc6s33Rk4cKyL333ovbbrsN69atw8iRI3HnnXfi0EMP9blyKnmlgDhRALOKkWyhb3S1ma7sCGJmFjOlISi0hsoovRtf7lYj+fofT10dzjkpsJrK0dQEbNigukToETE+dP9XNummWHbCaKxp2/TlAf43OFp+mitdkLjpCPsZD5ItQyGbgeIi+7zm41X9EPluhT4GROY4O2SnP3LqSPvR3jqcV8/Y1/jpCXG1TaqrQ+Ms70VK1cXG8LDq9JcLGsdOc5X4iYjNWDKGRoHwzDPP4NJLL8W9996Lgw8+GL///e9x7LHH4tNPP8WgQYN8L89zC2P2LtcjMkGPHXbvxB49GAdSTNiNFikXXJCcWSpJZ4f8m9CuuOeVBwEAd3SqDtFoNOX7f+aZ1oWKdNS8jNz5iWxHwkU+yqGHAocckvQHtkJ/r3xXUMyMD6u3ViSCxhUrgEcfdcw2+Tzccot1ZzoowyAcVqfb0f4PwhgWwYtbk5syRcsT6TR7NTb8MD7cpg3aBctsn2zeeoXOy/NpbKP1irTofKt+GB9Gl7JwODXQYfYb1M+Go03p29yMiy9WsHSpGp7W0gK89VamKiK1yOp111kPmJkYHx0oRzyuzhA6f77YuiNm6oWWTzbwcvtKyijJMwXkN7/5Dc4++2ycc845AIA777wTb7zxBu677z7McugTuCFvFRCRwUerxVpJEWLWYHcu8/rJh4J5uHXFknUhCAKrUUmju5lXn8TWVmDlSm95yGL3YzcaH0B6R8aonIjQtatqDIjGCIneX9FnK8iXjkjD6da1SaYMq3Ks8nZjcIjk46VT7uYeuXXTclsHt6qIExbuSVLHihoeInnLzjhn/Kv/zYmeW6cR0jP2JQ4bAGAAgEgE9fW7YtEi8epkYPYuszE8tM+SJeJF7IyXp2Wrt6mCRtT4CErgIuls2bIl7XtVVRWqOqd917Nz507861//wsyZM9O2H3300fjggw8CqZsvb0H9e8Gs/2P2vnLyEnEqBwAaGoDPP1f/z8YaEyQYhO6d8aURieDnN/XEHXeocQzGH81nnyUwrO7b9EUIzaRtq+9u0Vp6gfxEzluZOlUddmttte646FttJ0nSqpxjj03NnS/Zqff1t6dXP/SNRDiMjSf8GHffbRgBXLcuo3yn+jQ2N6dWSe/M2xYvz4a+Ufuuc3HM8nJ3hpMXRDuqMutx+KUUiJYZlLHhVcVwc0wQhpDXsuwMZBkXVqsYPJG/Vri5Bkajw2iImCnYdpN3dP5/5JHA976nYOVK4LPPgHPOSSkiVm3OxRcrqKkBKrHT8X2kuVktWwYsXw4sXpxq80TXa5o1y78V2r2QrbkFCpUOlEst6iibNwAMHDgwbbuiKKbPUXNzM9rb29G3b9+07X379kVTU1MgdfR9GE60/yPrXm32PqICUkL07p3WSO+Ml+PFF62TD8P/gBb4a1g4fQ/CudX4wzfrCMgaIfE46uqATZsM5XhRFYImFEpOlOULXTtXRdaupVODJOJH6jTNrdaIia534eYZcmNMuV2PQ3S/XVl25VrlHbTh4aXN8KKwytbBrzQi6PMRCfx2++yaGS8yddN/l1EcJfyDKpu/Rt9wGH2HAHvssQtGjHA+rGfkO6RNgWtRnw6UIxYDtm5VhWgZ1aMQoPGRfVavXo3a2tQ6N2bqh56ysrK074lEImObXwTiB2D2HnHrGWKn4pstGUAlpHCxu2ei9/OyU05Brdk6IG7VD5EgSeO2zu/KpElqjMKzz6ZloUyejF+9MgZtbc6jVI3vvqsec+CBziOF+n1WP5y2NqClBU8/Dbz+ejSVtzZdsAf3IKffnvBvUlM/evVC44c6/7rl6ddLdDTQNJ02rbE+MByw7mi5jQ3R56eV1ek6KHWsHrP7L3rPglyHwwmRa+i2g+6HgeG2s54No8MvQ8IPzNQRszRGFyy7v1o+XlU1s3Ze1vXKLK1ZHuEweka+w4svdsG8eQrOPnsNgGjaYfq2R7nsMqHze/FF4NJLgQsvbMzIwwmztJazAjqk00bQy9EhXL4ddLnKxEx08zNvAKitrU0zQKzo3bs3QqFQhtrx7bffZqgifiH0a2/vHP37+us12Lq11vWAnd8DeuvWAbFsODWSvGdb5zSuq1asQJ32YzPO6qJh1im0wjjybTQ69LMzGWdqiqszqRif0TVffokuXXrim2+cn13t2DXr16udVit/RjNjyIx4HGhtxS7fX5PK+6uvUvtDIWDtWsfflZvfndkxa9avV2fBMvpxdnQAoZBUOaJpY7GYWm5Li+oOBajl+6GCAJb5rG5pAQCsam5GnabAZItyE5nfyfgwnoeM0SHbYZbpfIvUy42R4caocjpPqzxlBkG8zMYmWj6A1WvXAgBWrVmDuu7dxcuwanP0vxezttGYxi4vEczadSvjQ9svsq6QmUqq+78SQJ8+PQBYz4gTi8WwZu1a64Gwzvw6UI5ly4D169f51reRaRf1rNFcVJFphDi5DTlMWmj6XYStW7d05p/F6bxKhMrKSnzve9/Dm2++icmTJye3v/nmmzjxxBMDKVPoLbF8+XIAwMEHjwykEl5wsuaphJQG4c7GfPSkSTmuiTOzO/+KPJuzZ89OO8ZPtPIHnnee5T4rIjYj+KKxGAAw8IwzbI8VqY9VWrs8jOVmk9HXXpuzsglxYvSBB+a6CgWPsQ2aPXt2Rptp1U6FQmpMSTTqT6uvvUOcMNZv8OCBFilzz/Lly7HffvvluhqeyYYCIsPPf/5znHnmmRg3bhwOPPBAPPDAA1i1ahVmzJjhfwUBlCUSiYRTok2bNqFnz5749NPV6NYtJeWIKLEy+0XQl7l5s/r57DNg1SrgvfeAL78E1q4Frr32jrTjaIgUJ9p9PeqoU3HwwSOx+u9/R60WHCQzymiG1fCN2WienTJiPB4ADjwQd9xzT8a5OHWmL9t330w3KTv1w2xbTQ3+unl/fPJJ6jdy2fDhqf0TJ+KOu+4yrYfV92yjv1aXvfEG8M03wI4daF27FqsA7LXvvsBll+Gs536IsWMz24LksXV1qetpphIY6RB0RzDJa83GjRg5cyZW33svaqurnfPo1Qt3/Pvfaj133VWsXDvcBHYDUqPonpBRQWTq6ZS3bDovaYx1dBv/4bZ8szp0subrrzHy4IOx+j//QW23bt7rYKduBOWP4/V6WikldnF3ujZ/6Td9cOmlwH//C7S2rkI0+hyA3LeXMujreuGFlwHIfN3cc096m3rJJZeZLk5ovEQyKojZbdu6dQv22msgNm7ciB49etieRz6zZcsWdO/eHevWbRZyj3JbRr9+3bF5s1wZ9957L2699VasW7cOo0aNwh133IHDDjsskDoK/TJDnT/CHj3EfMmMeA08smo/unQB+vUDdt9d/T59ujrp0f33S1eRFDiDQlsBALU1Nag1a5hEX0JWMR5a503732oGF+PxVVWpv/r9qyQWztNRW1WVPpe9sUyz70ZqatClLf13XNuzZ2qOxi5dXNUtV3y7YEEyvrMDQA2Apn//G13OPBPTX0pg8WLrY5PPSijkHKPgJpBNl2dt532pra5GrXaNrfzSw2F8d8QkoNMAqdVcYrxOs+zWCAHcuwJ5WVvFr6Btr7EFsnmJuoB5HSSRLd9mn/ZM1nbpkno+/Sbbo5Syae1iSKzQBqDicRzUI45//r0Gf5hbifPPHwXgOfG65CHG/l48DhhmdU2mM4sV0QwSJ0NElpAXt8Q8It8UEAD46U9/ip/+9Kf+VsYCz62dVcymMY1d3KRoHJjVfu1vdbWa16hRwNKlCu64ox3R6E32mZCC5tBDFfzggO+wRutlun2BW3XirQwLkb+d/zfOnw+gM9hbIxaDcuaZ+NXc3ZLB6CJuRsobbzgHa9oFqnfWacQIIBJRp5I8++wyKG+/DYRCatC3SY8931wa9fXYCXWCGf3Y27C6OpS1tAAnOszeYVwp1a5BM3aknYwBj4sadokYXuhejQ99Hvq6GZ8n40xEGvrrJNMBkKm38Zrp74HZC8PqJSIrz9vlJbvfrj7Ga2v13SxPGWRfxvlC0MH2ooaZlfHh9Ax0xtitWHE39DPD69srN26m2URfP6/T+WqqiPGxc/MYGoV/UvhI306ZgRWz94Rxu1OesoTDwEknAQccAMydWxxWMrHmB0NXAU0OLZloZ8SNsWG1za4cILng3zXTImh80DqZEHYdM7P6xGLYbc3fsNsB41B2RKcyU8BzWocBGK/0zm82AVUCUwdWVwPbt6dmxUrL2KGz4ceq6XbPyNKlYnm4mSJYbxRoil4+0N4uZ9xYGeNWRpRTXho2ypR0Xcz2iRp9oi9RM2Svy44d6t9YTP1deCUo9zI/sfrNWwWL67eZ3YNIBDsjwbjUFBS650xTRsLh8rTd2eoT5jP5qIBkE6nbLPtQOA3qBHWBwmGgrg445RTgo48UNDcDe+yh4PPPNyEa/S2A/BltIO5I3j+7F6roC1vE4HDaZ5Wn04+muRnKxRfjkRd7YsAA4Oi6f6ouVgMG4Ibf9YRxWkdP6H948TjQ3IypUwdh+PAoGl97TSgLs9G7XPyW9HEceuVjVJ8+aLzwQmBWY3L/2rUKHnxwG1TnLJV+/RSMHw9gyR+zVGNJOu+PctRR6hot27dnppGZCcaYVt/JNxoj+jroke0A22H3u7Cqq1FJ0btFWuUvU08ZBUP0OH0ap7qYpfFyzb2k9+ofbZVHvvQsRVyvrLC5To13pMdGKJddBsRieObdXbBsmaomTJqUwJFHqktbxWLqgoO33fYtnBYzzDZmMYlW3Hijem7Kddel7zAYInojxLBbiHx5fIg/uLqdMr9PfXo/VHJRamqAm3TeVwsXAuecU7hBS8QG48tDVvHQ/+9V6TDus1vvobOTieZm/KShc1srVHWkqQkDBhxtfawZop0VLV1TE554YhBuvFGumHwj7ZX24ovAm2+m7X/ggEewZMlPsGhRatt5oz4A/r4sFZtjN3LthKiLkZaurU3smHUW03raGR4inVyrPEIhf9y8iH84qS76dGaIKjJA+sQZogqLrJEhej7Z7Gl6NT7setGdU2//vwnforFzIdU/3/91WpIvx++K224rjr5JB8rN1w3pvEblndfIaIgYknWm8b16eYd+Bv0g8s53pBUQmbZDVvkQfeDcDM4MGADMmAEsWaLgT3/SprmLimUkgJbXZ58pyW2xGLD33nKLpxExDjxQwdFHdqjLxbrBzmjwy83KQOOCBQB0sSAOD/zxx6eel7IyBddeC2DeO+I/QoG6lcd3OuflQDbjQ8zKeFy37Tmd8aH07q26lWzfjvvvB+bNS+DNN4EDDmhMLbwIWLtSGa9frjrnXgwOp/T6Z8lOJQHEzl/ULc1rTEY4bG1EAe7ic0TVB5EBDhFXKieneD9cBdyoQ2a9Ihl3LqdhbVEjJBt4Me50eWQoHxdckJrUozMP5YILTPOqqwMmTPDBnTMAnNp04/40JcTsunXee31siLYZyJ/HgmSHQG93UMqHm/a/oUFdXXTePNWjISgeeij1Ltm6lTNyBcXRDf8DVgpYxFaNoPF/GQXELm+R8gUNiL5ffJD8ev0BfwXmufCBdKpjMS/kqfm079iBfef9BvvW1WHi7T/Bs89CPW8rn3yvhoeVwaBN4dvR4X54yu0zp+HUeNoZJHqs4jT8MNLcuFY5KTtG7OppVb7oC80pjYgxYpaHV0RHBjUFRNRJ340hkg9GiNvyRe6/WbtqcT/r6tS41U2b3FWnINA/CzojBECaIaJPXgghRF4RFRvd5p3vSN3OcnSYy2s6zFbIdPIMkXUjlTneyNChwIUXAi+9pDj6XNptN+6rqFBw0knq/1qdq6uBU09V8NBDQPfu3maTICrJ666X46ykOVHjw09MXubKUUdhy6iDcMcdFs+AVceg89i0VsosSNKP+nYi+1vIFmblG5WXiRMV7L/HRuDpp81HceNx7FW/Uf1f30Foa8sMxDZ2UP3Us/1863hRQJx+MzJxGrLYBZpbxXoA1vWzq7fs7F3a82DEqlck0pm266SL9r68Yld/mfRW+2Tr7ZQ/EFyPU7Zci2tkqnzoDTm7WJPONK2t6roh9fUiFc8vrGbyarzxRnMVxMR40xsius2kBPD9Nps9TGkFSg7u+B0nMmCA+vnmG39HHC69NP271ieuqwMOOQT4+GP/yiI+Y+Ve5YSdwmDoHKXFEFu1rlYjkcb9fvoqFlFLv//7vwHet0nQ1paaWcpuBFy/z01H265D54agh8hk4l/8el6srqudWmE1Ra9MR1jUGAnCCLEiH4wQu/SA+Dln81zc4tXtSttnFt8nasAbDlm7tjANEEes3pHaM6F7vpwGtwEIpSkkqIAEhP5BcVJFjIh6EHi5wEceCSxbpqCpCTAOrvbpoyASAbp2BfbcUy1nzZpkbHBa+v32UzBihPk5hMNqMPyIESkDRGStBxIQXtUPO3cJh3y/+cZFOW6QPa/m5rSvovEc2Yr7EFobZfp0YPlyYMkS64zCYaC6GlvGHga8+64qT7a2onH5cjWPoUNTae1WcHaDdrxskK8oom5PdrEufgfgacg+y9o1sjJEZGJM/O702uXnVJabY/06By95OA2WuE0rStBKiCz6599ughEjusGjxrvvBtCploTDiMWAzz8Hvvc9H+uZI/TvhUbD7CbKlVemJzZze82X+0yyQlbutpMqYkTUyPBijDQ0qJ+WFuBBwzoM06Zlph8xQi1j+/b0uI7x463L0H5fvXrJ1Y0I4Lcrkl05Zj6/IsqHDn3Ms5QbhGD+Unno0xdDDMjrrxsusAHtmlVVpZbWsHPT0fBiJDgdm4uAdpkOvF+I+MubYbUeiNk5BGFsyFwnL8aH37gtKyiDwq9zzwcVxTDwJNqfScPkHOJxYMMGD/UqFMzem1axRrm+1yQryN1lu5E7gQfGSRVxylbUGLHC7PiaGuDiixW0tqp9sd697cuorlbTy7zLu3VTY0HeegvYtMk6FiTfVpvOJ5Kj3ZqPrVMHz63CoW8AjY2hjP+8m7Ld4sW1p7kZyqRJaHz55bRdxmcx28+mVDmiRlS3bpg5E5g/PwrlvfeAlhYoQ4akp3GKG3KLfurdtrb8e8Fm68UvWo6Z8WHW4LrtJHvNP6h9Iunc3CNZo0GfXrYeImXJnoOfz6VbNzSNSASNt92Wtklb78ORWAzKxRen5RmPJ2frLWoaZ80CYKGEAGKdvULwK5KALlh+IfmjllVFAPuBZ9HjNfTPfDgsrqbKpteoqwPGjlW9P4gHWlv9Vz+sHizjdqcAJlt1wn31AiUWk3+Y8w3RRiEUSs2AJ9qYeG3FnZQON6uYB4kLH3Zpcm18iV5PN0ZEkIaHaB5+qSD5YHgUCjJKsv43VleH9SuANq6/kx8qF8kq/t5tF6NoxqAiJ4PEqQ8oil/5iFJXB4waBQwfruD++zkjlixJ5UOkoRcNvrYLspVVPxzKTevz+K2eeEWibDNFxE+VROZYZdw44LPPnBNqL7aWFtx5J7BoUTQj9iUjvVtEOhKy0/DKpLXrXMu6X/mtiojkkw/Kh5/GhR/uSl7zFk2nXZtQyHmQxw9Dy4l8yMdhIgbl4out0zlRV4d7H6rE+vWNvq9LVrCUmBHChQgLFK9qiN/5iFBTo5Z15ZVKssx4HLj7bhokVlRUJDBzJoCW/+W2YRKxWG3S9HBa6DabD6KReBzKsccCI0ZkTCtpZVT47ZLlJp/GDz8EACjduokdsGMHxo6FuiJ6LJa63v37o+yEEwAAid//XroeSTiKaY1b48NtXqL5ixofsvhlHMjEZsiW7aaMUjE89HmYxC0oV1+dHnfmov3uCFdiyRLgwQejnqtZVJSYEVLK5N1d1lbIFMFPNSQbfT+j25d+GzFnZ6xDHa1utVANjA2V2wsq6m4lol6YpBlW961YHazyDJpYzP2q8oVA5wwSu67sXNxRp6R9vc/xzsd7NS7a21MLEeaCbAefy3QgrAwPGeMgX5SPbCshfhojetXDy7XOducx6PKM7wIrx33Jd5E6AU4BDFP7jUiHq0SMkFKPAXExjYMDHh8aVzNLFDiXXaagvV3JdTXyjmg0qnaK9RF6bp8vUbcskW1u0sjONuVHh0WWWAzKmWfi4ovlnkWzhTmzisgLraYGjc3NaHzzTdV1S5fe9tbog8ezgfZGype3h5tnKwjjw0t5bo0Prx1xN+n8MD60fETbLmNap3yd8soWuSpP9Pepv7aG69vRexfcfXcjotGbgqtvDqE7GRHB319vDoyPfHlPy8Ru6o177e+aNcDgwcHUrajRj0rJIip9iSgTMuqFqPwlI5P5IanFYsCaNehpN6VtPhKJ2FsR4TDQvz+wbp36fe1asXz9MjxEnHHtZt/KxUigH248dsjEqnhRFYzliMaTyBoeQagTouftl5EkYoTI5itLIYx6u21rtfdNOIy33vK/WgUFXUAAUAHx79dewMZHLm5ULAbccYca+3HllQrWrQMefTSa/YrkIdroyfTpChD/MruFOxklIkaLWZpYTF0wT5vvWTQvmXSyaa2IxaCceio+aNkLb76pPqN2sSBu40ECGSULh9G4aRMAXWxIKIRVo49HtDPOQ9HiPIYORdkRRwA4PzOfbBof+UaQxodfQfJuVA/RfPyKHXCzzylNNly+sqn6FArhMBpvu02dble3DYBce9tp6BXaGI+fJKfjvfrqHNeE5Bp/WoksGx9+GAy5tg63b0/9H4+LTeZTagyK/U/9x6guyD5vbkeq7PY75WtM09pqvlheUEaIhpsHPRYDYjH0rpc/NKfE4+pMD0aqq3HKKbrvmnFxyCHm+WQ7mDxf/KFzZXgA+bPGh5vOt0gH3qsrZ7ZUF7fpc2lwBFG20aVB9N4ItrelsO6HECWuhFAB8ZyD+yyyrXoEeUNkB56rq4EZMxRUVwdXJ4Lc/wq1ByMSQeOzzwIAlEmTzNOI5iVbPuDqOixbJjbbVa4W0EwuTvn73wPjxqFx/nxg+/ZUPbS/W7fi+OMb1dmvHGjsdNNS7FYk9Rs/VCs7gghAF233RZSIQlA+/HCHkq2P3b4gVAvjtfNqNAVFPhrjZsdZ/aYjEbz1FvD001F3ZRQj+jaw2NQzYom3O51F4yNfDQ89soPU2tSssvHJRBCRkWUrRF2tRMoJh/1b7M9tZ9WFIbJkiXwxOSEcVtWM+fNzXZN0Csn9yovLjhleDI+glQ/ZvL24OfnpbmW13asbVjaUlGzlFQQ+GyMdKMcLL3isUzGS789BAFAByQEyxofbi5iri+/GO+iOOxpx1lmpAdtSJTmiPXWqfUKnkZJ8/OXV1eW6BtKMH5/fs5kk67Z9O7bEKi3XKnFDY+dChVlVQqwI+sWcT8aHW2RWiw8qxsNP9yavLldeDB+7axmkm16+Eg5jZ7w8+b+nAaBIBDfe2IiZM/m+ZywIcd86uGhYsqV65GP/kwSA/kbLzoaV7YfELDYhF0i8QMeNA959N+D6+MGOHbYLmxcEQblhOXX08834cNOhllE+/HC98iMeww+XKS/HuymjEOJBjDjVReA314HydC8FD26tHeFK6WNI8cKV0PMU2ZuSD0aHrAtjPE73q7zF7wdqzRp/8/OCYGe3y5r/QbnsMvz4olrsvnujY/psxoJEo1EokycDy5ah8b//BR5vTNun58wz1XVNunYF+r7/fGo6XkN+vuKm9Q86FiQfcKN8yBoffpFP8Q1+KC5ujxE9LteGh1/Xw/AbbG1FcoCj8bbbAADKlVfKK/DhMF58Ub6KhYro+4BKSOmStRYjSLerXL+zjeXLTFpDA0QAv2cBysUDU4jzLjY1AU1N6N37sFzXxJyVK9U6OrDba/cEX5cg8OOZb2vL/irobsknV7MgCdKNycs5Whlz+XLdrPC7ftpAQGe+27dKNt9WCkk4jKVL/akiKQ4YA5IFgjI+vF7gIG+QaJ+Z0/GlsI398MsI8fumS+SnTJ6c3w+tBfr4+VzNeGXJCScguvvuAPytk3EmLalYEC/at9dnvL09GFUgHzuhfqyi7gd+XZtCNcCy/WxkaRasja2VWLkSePllZ/XXKg/t03jjjb5Wj5BiIA/fKmIUwqxYIn1mKiA6srXeQS4o4MVramqyvzSGMAMGOKfp1k39oXk5iT33VP0wOtdIQTisXphYDNi61X2+hUIx/zZlKLVrkA/nm6M6xGI2Aquou6Q+gJ3YU4LT8FIBcXWU+GFBqB9uLmyubobTe7vgg2d9QHjk2ksnKIgHQOaBDYfR2Dn3YsY6IH6WFQCjRgGLF+eseM80rlgBQE7FMD6T6orp5s+q0q9fyrjJx8i/QnHD8svIyfb5+qnOllDny5Q8Ov/WVmsDJBm3cOWVtnl8Fysv+Xe89OyE/B2UDAV3lwvJ+BBh06Zc16DAyEbjFNADY+mC5WW9kiyQtzMIG66L1YvN8oXX0uL4MjR7eRq3BbF4YWNnw6BoiwW5yUPX81H69TNPlO2XvRvjIJ86+LnIQya9Xdog7nWhuJ+5IBJRJ65YuFDB66/HEI3ekpEmLShdT+f53DYr030rb9xXc4SVG6/ltSxiSl0BcacNBnBmxXwT7Orw0UfZq0dJEuQv3I965LnxAYh5OeUML9dn4UL/6pFvyHTyZZQ8p7Tt7c4qkJ0rnFX+Ztv9UptkyvQjX7/qElS9CQBg0IAOnHoqcOCBQI8ecgvJdoQrsbGVU+66hs9wSRDosIPsuh9+UwjPcB4O/GQd5dxzVb07hwHigZEPdfCI2cC+H8HoZmqCFJLXNmNxwZoaX4PqGw2+Fo7qRSSSVE8s89RJpFJqiJsVUfNdCTHDKujeKn+r8/SqMgSpavhJPrq35Ft9NOJxlAMYOrQShxySvmviRAV77KGGgVVip2lblLdxc3mCY9ubj8+qz5T6OiAFFR2Vjb6cNsgn+pHJ14z6en/qXdC0tKQukMiFFdlfBB3/fDmH2pZVua6COV6nNj7gAH/q4ZaGBrn0Qa55AYj/boJWQuzUQislxKwsu/xF8apI2F0rP7a7UUGs9pldwzxpg3LJSScB99+fvm3/fXaiZ81OS+MDKIywq7zHTWeLFAzFbV5K4Pb59jpxw4ABwPr17o4tdPLWF7YUFoSToaUFyvTp6BgwCDfeKL4godV3v2hcvRro9BuWqUdU+/+223DuuQmMGgVs2mR+XjIKSUYabQpfK+XCZojUrNykgiOihJg1SKKqg+jIo0g6p2mB7eokq1aYlSWjhFg15n6oJlbI5i2jvmQ7HqRIiURUFXj6dAWtrcDQoQDi35kn7rym5ehATU05rr5aXQS1MtwBABg2ohxqC0SsaLzttpKJA2EMiFt8PLtcXyg/yhcdODQydqz3sosSt7/MbOqOhbA6sB+0tAArV2LlylxXxH8e2Pse/KzmkdwUvmOHu+NElBCrNG1tYr4hoiOPfqghdnWSHeH3QwmRUTKM22TVG9l62NXPKq3XWBE3aooMue4AOFAeV5WOQfU7sdfQnah0MD4AAPE4KrEz+eF8+z5AJaTo8NY7chhFKUdHzuNAsokbNaSmBjjzTAUTJyYHTPNXGfCZU09VsFf9RqHVrNPI0kJUQo1dCaklheoueOCBCpYtAxob1dHIoUOB02r+rD53sRiwfTuUIUOAUaPQ+PLL0vk7zr7V+ffssrL0BNu3O+apjBsHVFejcf785D4pJUQ7xjhTl9Yp90sREWn89MaBVdyGWZ3slAmz7VZKiFXeQSgQfuTrRz3c5i9DsaspJdK+5wozpbrRQtm+7Pzzs1Cj7FHqCohcqxHQGZVSX8/YVkci6jSneTvVaYDshU8BSdvDEbOOjVXHxQm/Hky3D26ePfBdYhtzXQVXHL3stzgaAOo6NzR3fjTa21WVZ82a7FZMRAH57DP5achE4i809OqAnTGifw7tOpui6bT6+WWImBkhZvmbuWTJGjii7ltu8g2iHrL5WMWCON33XBkhTm2v33m6IRwuqcFYQkSQ/3UaG5o8VkHyrP+WxOyS9eqVm7rkAk8Kjx9uT2adBKe0IuncGCFBGS9OiJ6XnqYmKNOn4+vwIDz4oHMsiBG/Zs7yg0bDAjwycSuydTDGntyxfTuUrl3Fr31LC5ShQ4EJE7ClZld0716mZQzA21ohaeTCGLFTRWQMETs1xJi3U74iefthFPixXTYPp3z032Vn+hJ9LuyOlZmJzM90JG8wa1+1bXf8/vfZrUzAlLoC4s86IFk8U9l2LVczHcqm6dMnmLoQB8JhcaNGxrCRrUMQ+fpNUxOwZk1BNGy2BD2blAgVFeKxGC0twNq1wBNPoLb5S/M0om2ypo54icswK9vpoRBJZzeblVldrM7brAyzvGVjT0TLs6pDkNtl89D26TFeH6v8RBB9LmQJssdGCMkqUj0bzfpUrrxSSgkRUUFkBnrdDN76VbYoIoq0liYcBqZNA5YvV3DJJaUXCyLcwQ6yIy7qpuWkntg9TE77vJTrFpkfU2dafVVk1vKwG9mSOcYze+6J6BFHpOWv/Z06VcELLwAzZ5aZ7vdaH70aov+u9O6tGiWdPpmNixcDABo740SU6mr1gA8/RFNTAv/6F3D88WodldtvV/fJjiIDmZ1OKxVCj92sVUbsRuCt0lipIlYKjdOIvpl7kVW++ryt6imqRDgpKkFsd6qzbL1lzssKp/ttl5YQ+Nf+5htUQLwgcYbl6HBME5S6kS8DyGZol/CAA4CJE+WXBigZ3DwcNTWpTyQil4cXxcPuOD/UDlHVRgaJ/PJBQPCE2cqKnQx7/bfo1i2LddETi6lqx9b/3977x1lW1Hfen+m+3X2HaXp6YFiacUZHGeIQhig6JqAQIEjERUQCbGCRqFE2uMrjzr7CRhLJ6V51ISsum8U8atQIa3zkibJKxJc/UNHIRiLkYTZgHMNERmhhCAPTPdPD3J4+3f38cbr61q1bP75Vp865597+vl+vfvW959apqnNOVZ3vr6o6aE6zZw+O//x/w+tfb8mH6o3QQd2/Q/6jlGWrU0h9qB4RcdyUr6/HxVVeJ7wfvsd9PGau30M8Hd0gGTEMUzhhUoxs3lc/A1ZPCGDfId3XuxErRL8IKF4QOe3QEHD11StsB1XfOR1Eof9n6YvxuY+3zlNI3vEOf+ubyzNiszyGeEJ0ZVLr5oLSSVzp0hTHP/ePSN79bvzD3n+FL395olDrVIz5Ismf/mnrDzt3YnF6OtvI8Nvfbl5vmgKNBv799h/h38/P40jah5tumtDmmbdubXnIeSnzU4DME5KsXp15R55+GrjJPAdn4uBBoxIj5r4kRx9tb1M6wdy2tK8JnafCVKbNUq7zivh4Lnyu1Za/Tz/XlefjNY1x3OYBUY/pPB+m9PJx3Tm6utnShhhUYrzQy7JO1mr44AcncNVVrV2d8aPXPCArfSf0oN53ACNAmhmVB9MX/CRtxA/JCkkf+3wTPrdmYADYtg1Yir5ggDDPR62GqX2a3zZuzCzMph20KWFOIS9/XZ6hmrbPOaF5uDrD0vK168f+VVg9Os3UFHD77ebfH3gAeOABDL7lLSVViMiaNdlyeUtL6haCzYjko5QIKBPbTWWajttWuNKVU2T+Pnn71iPG8ZBwMZN3hDKemXClpeYV+yXtMJp651XlcAuGqRhevcWkfbbNCSF0ajkky6SMhMhoVfTuUsfWWg3Yvh1Yvz7BZZf13lwQ43X4ekEIvGrLAbzo2gSf+QwwN5dZiyc++EEAQHLNNc2ELqusLo2P12P9ekx8/ONZuZdcYi9HRwzPhy4fikXS1pkaDWxotE6Irmqc7rLV33e1qG9/G8mppwKvfz0mbr01y+PkkzHxk58AiLvjO+XeTezbB+zbp08rjbnJ0Udn7e7xx815LXlIlueWyPh46FxmNttcC4HJc2GrS61mVohM81Z88jdhyr8qUK9HTSd/14VU5fHoyulE/qbfTL/7EKIIxFBELOcemOEleJl2fKMXffOuOqsWFxcXXYkOHDiAtWvXGn9fnJ5udj5dJyR0apdHJEaIaWiYa2xct2NyErjiCuDSSzPBuWoCXSjqdSSXX+6ez2ALuZIe2OTTT2PT6adjetcujKxbh4mPfxzJNdfgW49uwLvelTk93vc+JSSLooi4frdYCye+8IXW8nQKSAgxXtDU47aylubWTHzxi/nqE5mbb04wOwskiT5MyUsR6e/HM5e9B2Nj2YTvxTvuwKq3vQ0AYQPCHNiUm+XQstNOA5aUEmzejFW//dutv2/Z0vTxLz3HCcV7olVAZGIbB1weE5OXxHe+la2cosvQ5e+Tt289qMcdZU3u3YtNZ5+N6Z07MXL00cHv8ihpivCCUNtpqBJiOe+FdBD79gFnngk8+eQqYzqGxvT0NEZGRjpdjWCETP2xj01j9epiruPw4QN473vXVvpexfMXCquDzvpAiPd0eUR8vSE6bIaaMrVFl4GmVgO2bi2vPpXB96Ukf5cU4IX1zdCg3zz9AHbvHsEDDwD33UfM22aho1oGi9w2PPQFSQ3dsMWGy8zMVNLMcvjubwFbtmDicxEyW70asp7qvSlgkezZs3z/v7v+3wD47dbfn3mm+dk26NhWuqLMG/Kxfps8JqZ5F6IuMbwXopyiPRimndgpu86HoHu2lHujphGfbYHpMcKMXN4UuS4xoc47KSCU6qjaEYyNDaJej5ot0+WsdA9IMQGLrg7scHfa5ojkCbOq0gOx3aJarXVn9KqGtpSKxwuhDwtIbrghswzPzGBwZgZbtmzAzEyCsTHgq191bKIXI5ZveDjf+UVgUrJs4Ri67/L5aYrkyiuz73v3YuGc38DHPgZ86UvAeefZPXiFteddu1rm+VxzTYINeCqbu7JzJ3D4MG2G3rHHYmL3brz61RN49auzuk784AfF1NlAct11+N3fPwannpoAAF73OiDZ/rVsX5CpqeV0GzcCp566iPFx4NJLlY0KhZcjTVu9P2ma3QsdIZsSAnahzpYu1oaErt/ylKPmZ4utpW6AqMsjpDyTEcE298MVdkSph60ulN9d54ZCeV+UPGejVsuaA7/PGSYjTu/TeT8oEx8sA2BRSoitGmVjGv9qNeDEE7NVOVcENu9ZCPv2Zf+lvDbUnseG04Ejw8fgq1/NX8QyOgsigKf2Ror5pb5IQ/N1CSXyd51S0mhkMYNLafu+9138X6+sYf36X8djj/lXKwr9/c02AGDDN/6iWXchBKrCp04hOfdcYPfugipJ5AtfwF+cuRo4R3oeP51qS/ZL9/4Z/uE/rMZ/fvR37fmFDCoujwFlpSsBZR6Az6pUtjJdlvYqLRNj8vKUibgfRZplfcjzLqAqxrbzCwjZ6tgS3wxTQaIoIBO33YZkx47siy0Ey9PlSVktqyzyeu19vO+1WrYfyK5d+cqsPCYrXRFWqaWyBnEEN9yQYBBHMHHTTQCUuSByvQx5ONOh1YOVXH99Zn2XLNbLuK7VZsmMAcXbQUHyiODwYZx5JrBzZ4LJyfZlJykWQB/rYHL55c3y9+6F0HySTZvsVn6Z/v6mAPamN2HViScC73tf0OaJUZmdzf5U1Gd06BBw6BDe9Cbg0UcXlyIAMw/Uqj/4g+Vkix/7WJZ2iYmlfJI8fY7qLZHrHeK1sG2SqCuXamkP8ZKoZbq8BfIx12aIofnqjvt4QuTfXWlCPSI+soFNSa0KnvWR3wsMwyFYsaAIjq7BhtiZqfJhnnNihwnbvPvqZdfrwGtes0IUEFng9XlphjI1hUEAR0Y1S8j6NCCD50N8P6rxfPO77UFSPIWuurmgzG8xKSGmz7Y8Bgbw4l3fwn99PbJJ6ra5NzF44IHWeqmWcZtQLHf0JSXkf9zzsvh1jI3hmb7qe/8Nf3VmDTj9dEx8XXPepk369jgwEGfQM3kpVEIEWtuu7a5yfcqzlSmXTZ2vous3Jg+MLl+f/U2o87gcYZVtY7PrXFPZrt8oCo6ujjpc46fPu4OS1vNd1IcFbN5cDYMqw1SBKKtgjY+PI7nuutYOaeuctskPCqoHJKaSUZbyoUJZJGVmBnjyyWy7grGx3lgNa3l1nje+MTtQqzUvXP4svsuYYtWWmHz6aWzavn15FSwj4qGPjgL1OhbQhw9+ULNhoZpel4ft8/BwFpi/b19mldflVcBLLhiXd0d3nbY0ssZdq+Fvar+B730vcwKJZI0G8KIX6efjmFaBCukDsT0uoeVTfvNZ2jdR4zlkRXHzZmDjRrz7s7+6PH4Y81CfY8wBkOr6dbVz0++uVbVcdcjbB4taCStvvgHHJp95Bpve/GZMf//7GFHnsPnUvYzjvmmLKNd3bK7V8P/c2YfHHjNvbsrQqPLKThSETP0nfzKNer2Y62g0DuAP/mClrIKlYrM4RA6ziaV4AP7vXlsYsW3jYNd7eXg4M1ZeeaVj9aZupNHwf7HoPAWuMAQbU1NArYa9qYcnxGYxVI9PTbVK25T8BLHDrUI8K5RQLFsaYVFf+vv1+b/Gr79SKXdsDBP32otgLJj6BZCtkPX007juul+Fc5VkNZ+iVmuy4fJwusKzANpO7T6eEUoaynwVnQfD1Md1npc8E9ld5ZgMLLYQLFeeeY77hGh1kpD6pCmuuGIQS9tRMcyKJ5cHZNmifeONywJdC74WCeUYxftBPeb6zaV4xJivqL4fXcasmZksWuIHP+gND4hg8fvfb/V8mP6PjmLiU58CgGylJRnFW9KyD4hrpp/0Unu+vgG33dZuIU6uvro1re78kM8UinjZ+uTpc82u3+SOpXaieh3Yti3TtiWL6z882ocHHmgmyzbnBB56qDmNJk2Bp5/WW/Zf+tJk+fPvvP4p4OGH8Ss3XIhHHslWh+pUP2o0GqgT1+EMmXvS5hGp1YALLsju7QMPZP1paRUv1Su0fG6nAodjWbrzekR86uPjlfHde8T0G+UlYjrX5QH5l3/BpksuwfR3vkPzgMTwKsTIN1a5ecuhUKvhwEwf3vIW4Oyz2RMSSpWt+hSETP3hDxfrAfmjP1oJHhBZKggduAM6dRnKR8yFUtTl4SmekJ5dCcsl6KRp61K2lPTiP2XOwlJaozxI8YK4wpJcYU06KJ6HKmOrvzzRG8gat6xpLPErAH5lVMpjN4CfzOHFADC0dGx4ABNPt50KAPid9C+aX74BYHS0cgbUQlDvfZoC99zT/E6ZAWuzjBdB7Aej24NDxTQhT4ZieTe970z7gOjKNHkETHVQJ7D7TC60eUXUMtTzqee6jocesx2PSdH5pynq9cFKbSfEMJ0iV2+76KIEr9osTbaN2Hld3g8f5SM05KqIVRp17w+dN71Wy9Ice2zzt/Hx8Z6wkkwsxZQlZ53VPKh7aU1OZnOLZmZallVtEbTEZ3UJSZ0wpuGomX/B9dcneOtbgVe8QrJI1Wp27c+mfFDmSFDyFfXwOZ96blkSuTq5WVVCTAqLLixIzmduLtsJ/E1vwipV2FPnUbzznUuHW49Xmb//+8wx7dyzBkBywgnZvZmft4cwHT6M5NRTgS1bcOWVCR54AHjb2zKvUPLRj7amX8pn4uDBZjm9toYoxQLkEnptSghAV0REXkA8RcQn3EkeQ+VjVIXBVG+qElSUElLEOJdTERqsLeDaa/uwa1eC978feM973H2c6U1ke2kReVedXL3zVRv/JW8WS7XIn0cnlQ9KqLwuf5MSItNr7/w2bDdv376md43ywgJaFRFKmVNTOGp0FI8+OohXvMKzzhQlxFQXk9BNSUcdWUwvSpuXwtUXQ0Y11wpLoV6fgwdxJO3NVWVe9cM/AwYGQNqypl7P7qFtg8VaLfttchKYnMQvpd9G7S3/sfV3wG6Rr4J3rhOurFAlxEaoIqKbA+OaI2I6l1JvqsJgO5+SNrR+3YDap9IUr90OnHjiID796c5Vi2E6TVDv/j//ZxG/svH5sJcRYUBx7f3hI3/piKF4+Fy66Z1uU0LSNPtexQ21oyHfGNPSk+rcEBn5N7FXgsukoPNK7N2Lz33uxfjGN5Tjvg2N6gmRUaz6bVCXR/VZ0tM37MMEVTlS66B6QXIw+MDfYHp6cbnYYxrZnA+sW4eJe7MZ7jE8H7F2Lzblk2zZkt0TxeuWbNoEnHnm8qptSFNgchJHtv4KbrppaZ+Pt72tJc9k/frsZNs9rtXwst3fwuzsIgZ3/QPwve8tH28pf/16TAjvI2V+BRBfSfERQql19CW2J0RAmSBPCZlSy7B5RKihVWpdqEagoj0hvmOUT/vxUZgErnZh4LjjgFtvBf7u7xK8733PLTtuu8lTy+SDPSABRFU+CJ3dVVQeI3EIefJWxzeXJ2RoCL2N+gIWwtPTmgD/ej3TyGq17G9qqimwycK+b6jTzAx+7dQX2hUQyrmmMKsQ7Zea3iW8i0bmSmfas0Dk4UsnRrw9ezCyZ097PTqxklMepM0BW0jTpnIgMUgJIncpert2YbCIzYZieUqKtn6X2Uaoc1NMHpEQb4gJm1DvU2ZRnhAgrJxYHpMQpQXwrmNfegS/dhoADAKo5iRhhikSr9766KPTOGUTukO1MpDX+xHj0tXxyqaEyHXqOcuIeBhi0uPJJ+NXr3gZHnwwi0tfvOuuFuvezzb/Bj73OWXPjjPOyG7kkSPZgUbDvsyv6UUrWZ6Td787W8YUoFm3KOFXpoYX6gnwDfFSFQtZQaGujOASWlRClCcfdHmJOm3ZAvzwh7mL8NmXI6R/JiefnM1xst1L3X3/3veyHeDrdSTXXAPs3t3cYFCdcwOE33f5vCImxcnUapjYvx9AAfNNYigbLkHTJbj6LBlM9YbolBA5f9cO6zbPB6VMX0+IqUyKsuOqi+8xXbnU323n6LDks24dcP75XWYwYaLAHhAPNq15HkhHwq8s0EKhGtRc30Mo+t0awtxccwpEz6Lc+Kkp4IILFvH167/b3EdjSVjes0cTunLPPfoG4OM2q9VwZPiY5vfdu5ePk0MUXGWo5GlwLuVDp0So12FTRFxCCwUfT0+skVLOJ2fsYhHK/s0339yWf3LHHWZl0UStls2Puv9+euE5FJHkhBMAABNLXsnEttFnTpJ169oVedv92LgRqy69FACw+Kd/Wli9yFAFV5e3gjJBXpRHfaeaxgXKPBBfJcQnP3EM8Fcw8ighlLrH8Ko4zh8eBrZuBb75zQQ//OHjHIploVcW4mEy/HqWsFTngTCA9GHBOQ/ERRHzJYvIT/aCAM2w/YEB4LnngK98JW6ZlebRR/FPX1qyBu+Zat6gpRu/c6fmnPn5bPKteDizs7SNDmUhZ/16fOADwJo1mt9kgd0UnkRRCNQ6+2LzcuiEfZMCYBNsYoUwyJiu1UdBpOTrq4BWFer9tw1wtnlDIYpIo0EP7Qn5zRX2ZxHq/7r2W60HdIJ97FAr1fplS5PHI+Izj8PlCaHkKX/3VTp8vQxULwnVC6NLQzkmH3fV1fS7DUL6DWML+NCH+vCVrwA//OGxzvRM7xBDpLblXXWKDbKlCjQRBB+qwkGd0xsT1zhsuvSDBzOh+4tfHC+qah1h2for9igQN6jRaIaRCNIU2LIFE1/9KoBH2jNL0+wlaxNATY1DejC7d6O5Cpb8wGyKh3qsTF+qr3fFFGale+GbJin5ElP5sG1oKKcfHcXEI48ASxtYmqiKFU1MIF/85CezEKQnn2z5Pdm0KSxj10CXNzRLJlTx0KWR2p68BDAghWVJaY4/HjjppEX84AcA/t//QaltXCgWdCC/RyS0HqZ8bV5SU56U74C/IhIiI+SRLWznluER0eQ5Ugc2bx7Epk08F8TGZZftqMzYzeTHvyf5dt7AY6oXJCTsyscLEnFhnhZ08qnt0sX7Ym4OeOYZ4ItffC5+paqI5UH93dyrANuCpPPzzYfXaGQz96khU0s3f+dOjQIie2Bclk7Tsbzej1hKjWptVcOsVKVLIIdo5SGPx8PHYrB9O/CIRlHtBmILNhRriyycxlx7PLTdUgR2Ke9f+/Ff4J8+NAzcPdX8PWTH1zzE9Ij4KAtUwdp3TxLbS4vqoVCPUY7r8vUp2/QcXPlT0rvqG4GXvxz4yEfabXBMk01rD3S6ClER9tOi8q46Yb3H1wpQkhKiUzh0x0zvZZcSEiusy8d4AxzJX2C3IjwfP5kwWj0mloTNd6qWYtcLX3nJtjxX+cUsKyEu1DQxQq+KwCaghVoaTeS1jlPzHx7GxE9+Anz2s85TqmhBm9Ct+ga0eUSA5pyM6NgGQFVIDRkMXcqQY76R8Ii0TFCfmsr+YipvpnpS52QANEVkeHh5/AKWFiQwhbv5KCGm8m0Kjq6eMUKwfMKvqPnkLTvGcervVGo1rF4NnHQS8NOfJrjpJvBcEB3dIFUzZPx6DlUICx1YNMe6XQnxkV1VL0jPMzBgvdlPjTk8HzLyBoSHD5sFahnpwbQkUevkY0EteuUngdywRN1E2ZTwGpcSIsqQv8vHXJgafV6hVb4mOS+xfDOTj1CPiED3fKkeLNueGNRy5UEUsO8Unqd+rjpSFJGxsVZv3egosHev3wvAV3C2zTtRn52v98PmDVGP234z5eMb/uXjEfGtj3odeZSQpXNHhhfwqlcC9XofRkeBpQXhmB6GPSBFwEpIW3qAFrVQq2VGsJ07gUcemcD4eNMS0issW3TEza/VgM2bl+Z5SOl+e5Uzr2uvTXD8T/8Gkz/+cXZAPDiKUFGr4YXTfwMf+cgElkLxW1FXBvAlhuJhazzqb2qD9o3z1+2G6RM/LaeJAeWeDw1hYvduQOMpUCnakphns0Kfc5dXoyrKE6JjbAzjv/d7Wbmf/GRzoYc8z3rz5uzZof36E0ieDp2gW6/rl+x1tc+YEwAphgmb8Lp/P5I3vhEYG8PEZz+LCcOy0cmWLfbyQq33ptAsnSKSVxmwHTfVtQyvi+143vpT0Jxz7LHAK18J3H9/srQF0AdQlKjWbdx6xx2drgITkeJadV4lxAFFCRFZ246pxmOBS3YLefdSw66mpoA77wROOcUv/66lvz8bcb9K9HZIHP/9v2o9kKbZSliUmz08jJtv1lggijId2PJ11ddkqZN/S9NWAUX1iABx53O44qN9fhP4btQTe7+IbiNPuJALeRDcurV5fM2a5r45FOuPiVNPbS55rePwYfNvw8NNE7FNMHXtRJ4XqtdG94575pnsT9qDiFSerxIC0BQRtRyAHprpI7D7HM/j+fBVRPKGcekwpbWcf/xxCzj+OODXzwT+8P3AGy/sb90kl+kZ2APSCQKsHX1YAACnJ0ScakpjSmdTRGxKiJpPDObmgMnJ3lFA2vbuOP/8bPO1pZs98dBDwEMPGdM7mZtrPrg0dYcSCBoNbNkCPP74Ur127Mh2nZYFgrxWXioUQUFgang6jwig94rkwVZHl8fGdC99LdP9/Zh4/HGr56NTsdNllbvsCdGFn8W09Pf3A489hrvvXsTevcCqty5tFPqxj2WDo0sJUT1zb3wjVr361cAHPmD0/EykaebZkJWQJeF74vDh9ufuCgcqWhGR6mfEJIxOTWUbqtbrzXuXptleL6Yltn2UEPGbwJTGpIi4QjNtIVihx0OUDl+PRZ48IhlSKVx9NbBp0yL27QNe8YpsI16eF8L0AsUqIK4BkRLK4UhDCbeyyWuUsCxKSJYu/1Dm57NQ4J5FKB8xrPHqw5KVERW1PR0+3KKAaM1MpodawItmuTxq3iaviCs0Kw8+dStScVu9uri8mXb27MGb8WfAu9+NpUis1jlc1EEXwIEtr6KVOTRk94LocAmvRU+wC1FC9u3L/pv6FnVSusjflhcljWsOXOwQrJDwqxjl+uZBDWGI/G74t1cs4N9eAfzjrj588YtRs2Y6DO8D4sGtd94JAEiuuaaQylAGGZMnRCSNccxlOHZ5ROSqhzI0FH5ulZAtNcn552fehcOHWyaNJ+eeiz/54a+j0ZgIyhfz88BC1i6wsGDvefJDTVO89uSf4bXveEfmgaEKO/KytXnIo5zb8pJfojZviIpupSPbd2qdfEN0BgayFa0YGmVY9wU7dy73vbad0W0DrGBuDiO7ftTuFT3hhGwPF/m5r16dxaPK1OvL/TTZtCkzZqghTBQlBOjcSh+xhFTXpqKCEK+IaynjPKFQ1LSxPR95vRlUZUUlkrdk40bgHe9I8IlPrLwVslbKda40OhOC5Yums+p2S6d4Q8Qxka3tWOgkdVueVHrSwCuFXQFohho0GjjnHL0DIhjTA5Lj2ufngfvvp+WnvoxN+MTeF+Syb2n0lLAs+bich+6zjEmAU++9K0SHiYPJuq8+W9u8EfFsTGn27HHXwzbwDQxkK2yoTE21l6mzwtTrzc/y0sWuJWp1fa1qyw2axgNbPW2re8n5AjSviK1cnRKi5ps3jElXr9A0PsfzHCuJkeEFDA/34eKLI78rmY6RpkBfnztdaN5Vx6sn7XjnOzHic7dCLQO6cw1KCED3hpiOu6JXAPMkdcCtjPh4Rp5+Grj33glcfHHzWJ7VdTpFi+fj3HOzixYeBtXvODODX3vlv8BnTE127AAeeCCLVROKDND6WcfWrZj4+tezPCi7TIuH59pdXOCz1wHg//K01UGuo9qQTQ1bxeb1oAprujpR6iPuXc4ldbupn6gE9XXZIqITVuv1bL4MgOSlL239TWqvT1zw7/DZz2ZeSO28koGBzIigK1+ga4MqjUbW92q1bDL5vn2ZAjI7m3lTLrsME5/6VLaYhIqP8EdVQtRryENRGx66lKUYiohujKMsZ5wnFMo0HsTwhLjqEkvhCAkXo+a9hCzjnHQScPTRCT70oZXnCWF6Cz/d69Ch+DXwUdMMaYUiImPq17rjlGMDA+axvb/f7/1Vq5nHSt07t+sRYVeAfh+HNKVZVmW+8Q3g2Wf967Jxo196m0Ij78CehxBTha7R6Y75hFGFKh+uzkEtf2Agc/3JVm6Ghu35yL+Jz+I5SM/t0UelczZt0rthXW1VtEG1LcqDXppmCse+fVm/n5lpel7Eb6ayfGNTqX0rRj+OoXzkNVva5sDJZcQoR82TWg6lbDVNyDkh6SnHSjQtL6CvLdJjdDTbQuYVryitGkxBiC5S1F9RfPjDH8ZrX/taHHXUURgdHQ3Ox8sD4jUHJK+b0tMybPOGiNNsxylGGcAeSq+TASiT10UZtVr3z/1oi+0+91zg4MHWjQLl/4IQoVN3cx0vi//xpQ3NvQY++Ulz3ja3lcmKCrg1Ueqmhrb+4ypDtUhTLIW6ctVyXPU2bfKmq4/SyeQdoVs2ZyPQi9Y/9Zps1zixNIlZ67XQsWbN8v4byQknLD+3f13/Lv711VfjP33iZVh1sbTSlWLtTk44AXjRi7LV61z4bqhXq7XO+1DblLzsckg/MrX/PB4QH8XD9V60/e4TMkbZNNHlqVDLBvShqKZVsmzlhHo+fF/elOOh8z98vpuOWVAVD5laLbMRPPYYOTuGicaRI0dw+eWX44wzzsBnPvOZ4Hz8QrDe9jaMDA4ScvVUPnzDUCwdWTc3RFRJN67qjlNC1ilzegH/veAGBoBzz03w6KPAs8+2TsoeHx/vPmFLp3yoiFAMAm3XL/I07ZA9NoZVS/Fsi5/8JNIUGBhYzGScv/xzUpmVwldQUicsmeLz1f7ko3y4Yv51nUQ5J9m+HTjuuOXwOBNd1/47zcDAsrIBoOUzoGxquHs3sGcParWXLd/nVe99LxbvuANoNFrTzs4iueSSLARS5700DYyOcK2J/fuBe+9tPb403k8cPAg8/DB27EgwsvefgK98hXQLWogdv09VPjo0b2AZ14R1qrBMUYI8BW2vvGLmXWSeJZRdpelLRaGO9zve856eegekaXfOAZmYyGTT22+/PVc+fi1/dhYYHGx2mDI6rW9sJ+xKiHyqfNwkj9m8IYB+3zcdrjkjog7r12cu1uHhoH35qol809QbODcH1Ot4qv4yvzxNN1tYUZfK+cctb2757T9u+xb+4wPrgW/sMWuloVDeCDohgBomZcrfJFjoNiIE2r0iprxdq2KpmPqprn7q8q2zs+0rHjH5GR1tnaztIk3xXy74G0zcJx3bvr1lnx4AWfjUzIy5/4SEI6nn1OvNFa5GRzNjBoCRr/zP5c/LUN5FMT0frusLeTe6zskrcdrmiZhCjyhKiGleCBAebhDDE+JpvGxLF1KPgueCyKc895zXKb3B9HSna9B1HDhwoOX70NAQhioSahNfgwhVSmydMOA3kxJiwmbEVdO53rkUr4hNCREOgbPOSnD77cCJJ9KXp60KyUUXZYIPxfXT34+HHqJZt084IcG/u+JAu3amm2uQphgdzTZxuv12AHv+ItvhcXKyNV0ZhEz6lvFVPtTffDYj9FE8THGO8u+643InEGnm5rKlmjduxMRnPwuAPR4CkvdT9jYNDGQeCxGedc01QJou31eVFu/Gnj1ITjsN7/76m3HaaQlWnbJquQ5tafOgaWfJS18KbN+OCXnDAzU21bVvhg6Kwk2F4g30gXJO1ZYM1nlCdF6WSAI3uV6xy/GtRxkemyVW0lS5ZMcOoNHAgf37O12VqJThAdmkLLaTJEll3qv+PaNM74dMRCXEpkTowq9EEeox9bjAFAov4wrNqtczo98pp7Qvc98V6KzZppu1bh3+w1tp2f67Ld8Fvj1lzk+mVsOG+/8KT3x6FJiaoRXgwkdB8BFUYioeedOb6hLqAdEdl+eGCI/M/HwmXBLD8RgNQglZv77V83HfffS1w9MUmJrCx9/0NeD6k7HqREK5MUNuhIIBNNuIPPdjaMh/0nisfqRCVc5DKErpcG1iqDvuo4QA/sv1ujwhlogHZz0p6fKc63tOTqVEnL5lC/Dkk8HZdBdFxhP1OE8++SRGRkaWv5u8H+Pj48uhVSYefPBBbN++PVrd4moRRVs1Qr0kGnyUEFt6ahRPyGbUtRpwwgnSTt3osiV5bTs2KhodOfpmaqp1I0MXMzPNVXaKUpp9lA9dHXxDQ/JYYG2NPiQ/FzqNXg7LEorIkjAz8dBDwMMP5yuzR3H1/WXPxPr1QJoiOe20zHoxN7e8vJ5YhndCHlR0pCnwzDPAwIB5rMnjgZDLsR2TPDnJjh3ZnBN5johKaBhkCNS+7EMZno6YSwXn2Uslr3cgthckVDEp0eshF6FM5+oZjONNDyohZeyEPjIy0qKAmHjve9+LK664wppm8+bNEWrWxK+X2LwfZXlEPJUQWyiWSwkRWdqOycflaugw7bBukqWHh4FXvrJVAelq5BtFjXkLKaOMtki1qPoK9qGWWuo1h/bdkHvqsnwKRUQoIWJHbSY/qkYv33Mfq73vUte+7cTkNQOyNiH//qUvmecUCYqYm+HC14BQNkXtTSKIGY4V+3sRlHEdlqKBzKb2l38JnH12QP27kR5UPqrG+vXrsT7nHly+xOmpMTt8ybGdLg+GyRsiqmE6x/a7jzekXgc2bUrw/vcD73lP980FcVKrAY0G3vUuYM2acQAe3h3xcChKR9ECAWVyuelYqLfDpwxfYuVhcyXK3pC5uSzmkHFi8oQkl1ySrUi1dy9tYzoK8/NITj4ZGBvDxH33tfw0sRT/sbypoA1i/5vYvbvV4mKaLJlX0ShCSK36ZoYuYt8TqhKi0gmlwqc+pmOu8yJeR5q2TmXsRijv+WTHjuxie1QBSVNg1ari8i6KJ554As8//zyeeOIJzM/PY+fOnQCALVu2YNgjhNq/N1Bj1/OQRwnx9IIA4QpFHkVEVkJsk9KBTAnpqQln6qB88CD+6/ufx8RtEfLu6wsTBNQXpe+O5jKUPpInJt3HqxIjhIoCNbRL9YDISsjYWHg9GWDnzuZziCXE9vdnYVy2GMlYHgBdneXNECkrt1Daa0jdTG5q37lfVSTGO7zoUCzduJGHIpQa3zxzKChpCjz2WITNM6tODysf3cwf//Ef44477lj+ftpppwEA7rvvPpxzzjnkfPL1wCKtEtRBSVePACVEzcY030P3m+95t92WeTKuvTbRplXzqNezCWddBVUgFd/37MH11ydYs+YAgPG206LEoQN04cBXiKAI/3knqlPT+YTYxIIah6hTPoaHMXHvvcAPf1hM3VYK/f3Ol/UEddaqbvd0hUQMSrpN6kw4+lVy6qlZe/jhD9v2LMHAAHlVvbz1aEHdTNMnL0p/o0yw7hR560TdeFXFZz5onrmj1LRUL0iBIWK9Ioe7PB/veEeCjRuBvpkDzRV4euXiFbrVA3L77bfn3gME8FVA5EG4jMGS2lmJg4PP0rw274XrN9uDlw3r1FCs4WEg8tyfaiBcP/PzwOQkjtq4EcCasLzktexiKA95kPPLO0GdUobpGCW/0Gt3jW4uhUQOn+NVr+JBGbhsmARtXX7C6p0nhFBXjs3DR7Wyd2KDwNC8QsLFihbIfK+liBBXH+E9xEPio2z45OGjhHQ6vKyCvHj4eWAKzTYuK+h8r3qK6j9NqnXIQwkB4K2IyFVRf/M9fu21Sdv7UbctgnxeyXODyBitGUKzMr0oxQtLfnGlKU46aQ2uuqo9z+S665Z3ajbmBeQLYfJNY8O1k3gsL4VL6SjL4yGgeL7UOSBMEG1zQVwegjTNVsGq1zHxk59okwivQ2JxuSYnn5x9UK0pIeja0eHDSM44AxM6j1is/h2SthP5lVmOGLOoeZe54pgOqkJiSxvDO5I3bTAL3bEa5hKuuibXX595PGwhJkxP0T1PlqKIeEwWE4qIgKKQhCgcrr5EnQsyPAwsLjqrWC18B5JGA1u3Gn67//58wqrNqhqL0N3EQ0OtbL/lKYeCj6JhSsPWv7gID4Grn/iuB27LI8b+Miqzs/YlvGOXp6IOxHnaqE1I95lXQkXN07bMoi++9SpC+cgzZuQNr/JNS00TcE1ZF++xOSCq8lHl0MRIdGsIVizCn2ynhAfVNaD73RT+YamvqpCoyAqKScbSKSImJcSncdRq2QJBXbUJqO6lJz8b3aTFyUl86Usvw759CXbvBu67bwLJlVdmG5Pt3Zudb9rRO4aHIUYYgaseMRQDijIVW+HyUSZd/U31gDQaSC6/HM8c+8v4xCd6cKW3srGFYeXNU/1sOxaQ/8TSHjDJ0qRGAEjOOmu5nZDI248HBsI2bvIlpgdBtmKFlCOnc4XV2Yi5S7xvGBXF6xFbsfA5nxJ6JR33CRnvZpLrrtNPNu9hxYPJyPeEO23BtHViIN+AomAK3aIoE640rnddf3/mAekqBYQi/KhKyMGDGLz3a9iwejU2bN6M+wDgscfcFrw8e28UGUZgE9pc7TDUK1KU54OicOjSuiZRic6xbx+O32o3AjAOqM/Z1yI+MGDuJ3nalnquqQzbxqOxVtvySZdnhbyiCCkzVMEKKcvXIBTLgJJXCaHmGUKn5aeq0A2m+oJgD0heOu0ms5Wv+y3kqUjny54SoYyoBkeKJ8SllMi/r1sHnHIKMDWV4ODB7rAQTzzyCAApXhygu34OH848HkC2M7bIx+T9kHFZaove6I9alxAPDTWtr7KTF1+XngmqhZsxQ1wpKnnpS4HR0WWPgzEvgZpnEW1M3oiyvx/JGWdkn9VVqGLPA/HF5GHPk0cVEHWq1fIpUZRr81UwYt+vIpSNkAnpK5hlzwezYumdnlBkxzaEfaleEZeSQZHTTOHH69ZlYVgHD2bfTZuRlYWp3OSMM5qxnOrF2sLjVGZmstCLej3b9tW0I7PPilJFrUjlOiePJ4Rahm/enh6Nic99DgCykDhKfjYvpHyO3CYaDVx0UYJPfQoYG+sORbsKiL6Y3HOP34kutyyFvGOubWVFsYRrzLAeG66QwTLq4MJmaIuRV0iaIsqlps+jROQJu4oxqT3GeV2AKitcd12CY2oH2OCETNYrygMSa+pXkcRr8bE9IbbQDco5Nq9HnjpqypAVEZc3RFZC5M+6yeixDMul8uyz5n0BBgZoF6TGe5tCBYRgUqu1Wu/k51vWalQ+ebm8NHnqEyMES00vL5PrGxrmWrFBbuSTk3jV8D6cddYv4bHH/KrMBODzLF1LsMeYd6H7XpRFPE+/6/SgrDM0xKiTOoaWJRD7jlkx62WKkojptfDNr4eVEQCsfDDLxG/leSwAPmkoyojLouUbmuVhLbF5PyhKiK1YmU57QpKLLgKefjpbuWZmJvsvKqzO8Yg5qZNioQ1RPlztKq8wT1E+YnlfIr7Ek+uu0y+RqMO1MoN6XP48NYUTT8SyAtLp9t0NhNybiccfpyWU2kly5ZVZG1CXwo41DyNNs/FkZoZugOqEoBbqKQnNt4hzbfe3LOXDd/yLPTZ3IWkKTE4CX/ziBMbHgSoPi8ZxSVY+elzZclGkLaPTdhIKfk+e6tOheEPy3h2KV4O6Gk9ImRpLri4kS1cN3WIYqhKi84JUsp9OTmZxYfPz7WFXtVocP6Ap/lt+YZp2bg5Zlcp23PWbKz21/JBybOfkteD5NEKdRdZkpVUbeKOBXxv+J3wjvLYrl5iTn9U2Oz/f1ApD51G5ypEVXEo/qdqAmNcTUcb12PqxvA9I2fe2k14QHXm8IEWlRdZFbrkFeNGLyKdUl26QkJlC8evF/f1ArYaJW29t+ym57rr29LZZ2bHx9XjELk/6ri6fZ3svid/kW6RTQgBgaChe9UNZjje/5ppsY8C9e/XKBxDHuuFSPkLTx7a+haSPLVSVoUz51sXmtTRp5o0GkksuwX/+yq9gcZHngpChehgDw6WWF4TYvr31h9ibf9ZqmLj3XiTnn0/Pq1PKiM0Q5lplJA+mvuR7noy8DG8R95P6Ho5tRKmaohqA/HiffLIHFJBKW1XLgz0gXqlrWBge8S8l9E74zgNxhWiFvixc53h6Q0yGFZO8LpwIxx0H7NpFq2bh7NoFTE1lJhnhUhWTRtWLoqJevE6ZkL0errS6dJ32gOiOFaHc2NLFFn58IXpITz8d0G2GzRhwbd4nPIVHH03LT34+9Xrzc4yFG2x9Qsw5KtpIEAOKdUl3PFbZ6ucYHphYHhBKlEKMZ9lJ5bMgT4eJubksAvL003Nn1Xko79hukKKZYLwVkMlJ/U8Tt90GwOAJ8cHV4KjzQCgdvojGXavhqb19+NSnMsttcuON2k0MXfNBZIRsPToKnHRSgh/8oH2VoKJj5UW+11yTYEP6BPDII9lyuaLCwvqqU0IoxFI+bHlWxQtCUT5yvKzEilWC5B3vMOdbq2Hi4x9vpr3mGnPGIXXSNWqbEi8d27YNmJlJcO21ADDuX/YK4YwzEvzm6xcA3SpYSp+Z2L2blqn8PJb617JHYmZGnw4A6nVM3Htvlv6ss8x5Oo4nl1/ePueI2n/LxmbICu0zMepCpSghL/a1V+V5d5D5eeDQoerPiZPrNzub4IorgC1bgKMaz9tlA1cfj7FZcIVgD4gHC/WjsPNHBdUk5G5R5njEHrR0eUr1WEAfdu5s/dm1dwi1imNjwPr12TnUOaSx2bD3/8t2Jj90KJtwfvhw9oNuZ/NQqMqHrjxdOorgkvfFl9cr4ZNHjHqY0qsKQ2i4BGUiuvqbkteGff+A39paw3/f+svGVZgZ4DeH/xb49kx2D+UwLLUv+PZPkV70QaF42PoTdcU0Wx62OUcrWUDNc32UcLDYHpBQyiy7023Go3zxCLttLPwvH3ghMybMFBiSyHQlXk+9Lz2CbduArVuTluNr12bhQX2NF/QDXdGqWJkrKeS0WOvmhwB+IZEbN5argIyPj+PGGxP0TT6RzfuYmcn+bDsU+yALSAMDmPjJTwBImxhSlQ81P9/fQtJXcOBs82LY+l+aZl7L4WEgTTHxkY8088hz7SbPByVcRcm3VitvNSxT/lW3OBpR+hYZKf2EEgeXnHuu+TzXWO9S/oswDvik86HI8CoqrigASjqBaRJ60e/vKo6xMY1ORaatGNpxshtM8R2iyL06em8fkJkZvGy0KTy3dJSZ9uRt6VxWmDwN1aSExFROIuVj84gA+nkiQFN+2LgxSjW86Nv9T5nnY2qqVfnIe39V66wcay7/TvV8UI/7polxTpH5UQQGU/9I08xCRQkN862TKSTF5Q2RjlVh8YWuQeyErvargQG/ZyoGG7U/As3nmldwNLW3GAJpGUKcqwzf91mnx5ScxrUoVEH4rojCI2SDrpffQ4wSzIrA78nndc26hKQirC4xBTvC731YwLZtfdi2LVlSFBa0p8nps1R6r4ha/NxcJhNcfnmCb3wDOHiwuFWChDXjuusSYPePgP37M+Wj0cjCryQm9u9v+Z6ccIK7AFlIOuEETPzgB615/uQnSE491Z1PzOVHO4XuYXdgYE7e/W5zfWJCUUS2bMHEBz8YfcJliDdDPqcq3pDleohxWRdqpWzWmWzfDhx9NCbuu8+eueXZL8/xOP98bbrkoouaz5XiJaAqH53yhITOJyyj//hgcrPrjASm/LvhOin4ztWJ6cGI6aGvCM4x0ccopv7u68nrItIUWFwsJu/e84BELdnhFcnrEclLqDUoTfHiMfGZkH4Jk1dEt0Sv+G1sLNuCo2iO2fuPmefj0KHmqld5BwX5nIGBbIZ9pygzhI9KJ+rTif6mjgNSv39iss9wEqOlv791kAD0HkQqLoMTJe9QwS2ml6NoIxQlTYzJ6RQoir3pOGWOUNHjUlnjXpkhURGvqeu9IVRie+OZSpLvyYY2DOpyuVQrjK+yEFjvA+lR2PkQcN99E0huuCF3fiZkr4gt661bgfXrE9x6K3D66fE8IcKacfnlCX65poReiV2KxWpXSyTr1jUnoPq6XOfmgKefRnL++Tiw7bW49dYJe/o8+CobsUP7TPF1Om0z5nUXYfn1mbjkQmPpkjfcjuF1iOW56PTu7KLc889P8MpXAtj5t9kP6oINAnUyOQURelWrZStSjY5i4lOfak1Tq2WrXn3xi9oskksuaR8LKIaLXrQgF61w5C1Pfi7qPiChUm8R1+zjmSmiHNtvuuMUbx8h/KobFY9kxw5/z0dV+29BsAck6KyIFoGQUKxQi1RovZfOm5lCcxniEjqKPGFdV9zYWCbzU6KdQvjl4SeAvVPNsCux7K664ZkQVA8f9g+HEsLR1FQxoVRUQb5ML0gVPS4VRF7tlWnntWM/A3ZNZV9kBc53804dclrTg3B5SOr15hwjl7Kax8tQhIU6NGSEkkcMYo8ftmfZybGqKC9XqEcq1r0IkE/kbtRVUCvN78QVh98TjzlI5bWeUhWTPNY0hbEx4LzzgLe8JQE0IVNAayhVDGzeEGGkvOwy4MEHs8826yzVYnvNNQk2NH6WeT6efTYLvTp4MJv3odttOc/AIS/f22hgZOap9jSxBXZfr0ZZyzkXVW7RA3tMT4jIJ01bVnS1QW3X55+fLC/uNDaW9Z96PStuEEewUBtcji5s88JVEfW+i4uRMXxP3vjG5jlbtiyvfiaY+PrXs3QXXWQsfuLLX7ZWb+ILX1j+nFx+eeuYbfKEuOrvOm6i6PRF5RGj3JDJ8KpHMhZVETJjhmD5ej50x6XfZXkCaD6GPXuAL395Au9/P1CRaWjGsTe58cbMqKiDem9051Wl/USCPSC5c8jnVWjDZpnwnXcQ2tAN5/RhAccf1/xJHSjUYzGVEeENUW9Hfz+weTMwPJzg938fuPDCTHCiCGUf/WiCej3zotxyC7B9O/Di9S8AU081dzkXSodrl+UYpCmwb18WurFvX+ZRUSa7A/Dfc8RHkO+0d6IKoVehRK778DBw9NEJbrnF/sIdH/9DAH0YGGi2CVk2Hx4Gvv514NdOPqCp89IfgD40cNTSScmNN+KpvX3Yty9befqRR9oVkk4t2bt1a4LXvAZA4x/bf6SMefKxRsPqapr46leXQ6mSq6/Ozh0dBdJ0efNZE+Pj48v3QoRpJZdcYq6XrZ55jq8UKPfFR6nIq8jY6lR1ivTIEe+Jqq/v3Us6rRCoY9qOHQlGai/Yvaa279TfmJ4gngdETReKONfk4YixtKFn/XSKhsCmE0VRRiRJSuRRq/W1GKkGBjIh661vzRaqonL//U0r8Is3LmSDxuTe7L8850OYheWLlZf1VGPMfZ+/UCgOH86kPR2qcCsrIXNz7aM1xbtgqqvu/BDh2taW1Txje186ZcENmWNjKPtVWw7gVdvq2LZtEMpWFC389KcDbavFqo83a98edZqZwYb1dWwYq2Hjxj488gjx3BK45BJgcN9TQAN274HpmMq+ffbfh4dbx4B9+0B2T5nyAuKsRFQVL4OLomJnYnp2IkYLkOlGIdNH8bAJ3B7XnqbApz8NnHIK+ZSOMFI/AjQI0SkxjMM9AHtAouZWoOVWJzD6Tnb2qJ9J6bAV6VJGvJUQXcjCkiIizw2p1YChocwTAiT49KeBSy81h5CcdlqCbduy9H3pkUwg2DuzLHi1zPfQzfkIjSunIHZW15XRae8EFV278xFA8l5np86Ncb7M1BRQq2Hbtg2o1zNPyKOPZk20Xs8WYdi+HfiljS+072OiYlI+bPd6SVAeHR3BDTckmJnJZO/bb8/CIV7+cn0fK2qSushvsHGg3cKY0zCUXH55Fpc2Oopnnu3DJz7RvLaJz30uS3PlldmBpXHhxhsT9DVeaAvfkuur3ovlvC6/vLVfVLlfd1KZj5kfFdXQGEt5qvIzpuCrvAUoHzq5Y2oK+NSnJnDKKdVZAlxlfj7Bfx5faBoXZPIqtoFKG1N9wp9mBGHer7zBdgHeJdgpdaTUwzXWUnUenTIS0yPSB2BwKePacB/qdeDMM4Ft2zIZXjcOCN70pqVd6/fNNJfVFX9ik8GpqUyFlnc7FxciXlA+ng9XexFlyF4Nka/JU2ALxdKtNlX04OW6/lCBooi6l2XNdHmBCPltqD+PDa+s4de/MowF9LXIrH1YAKYsjd2Eh8esr/ECBgEcUweO2VzD+Pgg0hQwyN3FI3du2RUqE2IZX1rt7uixl5nTiHIaDfRNPuFXhk/9KEJHN/SJPFSlPlWph4nYyh0131BPiIdAnabAAw/Yq1EF3v9++N9T9oJgfr44D8hC3OnIheD3xFXLiIUoSoclz2UBXmepcSgevsZoH0yOGp1HBHAoIi6hdSnjPiygVutbjoo4+WRg9+4Ef/mXwMUXZ5bM2dkEl10GvOhFQN/MgVaFQ3g+0rRV4TCFwQnlQ6d4xBxElKV+tfjOB6kSnQpp6ES5prZMqYvwxDUameLtc64pvxzpB5FiENlEy7+5vw/vfz+waxfwvve1ekRie0JOOinB9u0A0qfaFbvQe6HxNJuyEt4LQXL11c3/w8OY+PjHjcW03QvRHkKVpyoqHyavPWOG2v99z4lRbqzzc74fOzn3g8pRtSP2BHlC0dgD0rPkfpqhikaesblW05fbt9Q4XQoHtezQOqrvVN13gVpXq0Kiq9CyEpJ5RI4ZBS64oA9792byuzCWfuhDS16PmZl2z8eScIe5uWzFq7m51snf/f3tS3vK3hCRxkWeoETKfIkyCbHeUOvfKcWk6HzzeEN8yzIRqgTpaDTw66fXcP/9g/j0p4Gnn85XNRfnnANsqP1La4x1AYLUYM3DdBb6TPP0Zd++FiO/kPNi9bmywtTEGO5haGyhqJCxmO0jr+Dh85vrHWHJT67mI49k0ZFdh48nyJS+x0lToK+g/XZ7zgOygL5cno1YBiGqMK+mNcnvvmWaMBklTd/lY7kQGS69zAcBrF8/iNe8BhgdTfCqbUcA2euhKh9inoesIAitSfVAyC8n6gZnYg5JTE9FFZQQQawXZK3WjJFfsi575V/m/cgrUORZjScPsuU95FyVNEVfmmLbtqPw8MMJnnsui2TaubPdI5KX/n4UMHgoeOSpekR0mLxAE5/9bMv35fklOeqjPce3rYWUUTRVGedcdLqeeTxnefpVJOXDJFtNTwOf+MS4X51K4h3vSLIFPmwWV3HM9N1wv12rjDLdj/eIUaRXOcSIRjknlhIC6LfBkKcq+KDzjLSFZsmJ5M+2i6rVcBQa+I1XLh2fSmnKh27QkAcHWeGwDSC2wcd0k2wT3eVzdYOVrDiVsdpMbIHYlG+ZoQZlCw+mNpGnHlTFooBrfe32I3jt9mbef/iBgl+UeQXroqzEocSyzpiEwRjX1GkBuyzUndCp5L3Hnby/oSFVlN9zKB+Ae5G6TvLijQYzu8XIpvu8UhUL9oB4EPu9lDc/UzSFKV+XIqJDp3C40qgKiendqvsu0rasmuV7Ubr/ssIhH1crLyqg83zI/03ej7k5s6djft6srNhCJooSxKnH8uZrenbyPVVj6IsIS4l5Xkxi1aGoa6Hkq8xnOOecQTz8cIK/+7vmHiaNRgM333wzqUjdvJF16wBM1dr7TCxEfo0GkhtuaCnnhXQQH/lIfo+Oel1t12kbB+Tfy6Qb+1bIOJrXQ+16dpRzY9JJo4rpmKfyAWSPpaiV9VyQy5MFGA/vh+/8XJ5W1Vt4KyDUBkAxelPLzFuWaw4IRckA3FMY5AWcBAMD7mvQ9V3hDSGtlmVTPNQ/3Z4eckXk/+qFqZPOdQNuvW6/YNPNl1faotwwXf1MdcoLxZrjk073+/r19HNdAzyl3E6GkHRLSIxvnpIF4TfPOYLffH0N/7irD0t78OVmcOb5Zr2KtDaL/X8kjjK1z1joLDK6NLHyp+TZjYpHrDqEtH3buWUolJ0c0yi/BygfgDvCuZNoZRTC+4iieOSNVukG2APigU0BiSVjhJwXOo+Donj4zJtW0/b3m0O2dFFV4rvMcgdXtRTTC1X1cKh/MnJhLo+HTukwDTQ+ZgyT8kTVCnW46hh6LFTBMCGfNzWF5LrraFo+pbzYdfXB5+VctdCYvEKuTJpi48ZBvOMdCe65B/inf5rE+Hhdf66D5MYbs6Wx5bJ87l1IiEmEZ1PqbvGUdhcr3C+0DlXANTaEXIOrT5fl0S07T2r+gcqHK9sYROuL8rhhqLR8zZSIFJfxmOluojVtW8PolDfEdq5JvnUpHD6GHDkv2UivK9tmoGtTQiioiohaeVmRUS/ApXyEjoim0URXV18hiKIghQhhuu9FWE2FxZlS51AFpag3WQyhvQpvlgIs3iP1IxgZA/79u4DJvQv4zGeNSe1MTdE9Xz5UxUsmygttB9S6xk4Xmr4qecco09QuOx2KVYXxjiCIqxTRzYukzQviULZMikcVXgFlMz9fnKeiqP1FYuLVtBuNVkO5yzWYZxxynePyLPicG6p0uNLI/VBXhslDonN2tCghtgroPCTiswiPsln7a7Uwr4cNmxCt89bofrd9BrJrE2XVFStz6AuDqszEuCc++UV4AeaiyDw79RYq457Oz2N8fBx/8RfTeOKJW8PyyEvJ0owrdj257rpmWChgt8SYiH1NRSgpVZIiY3tANJ6/luN5LIch5RdZVo78fDdCbjSybblOOWWicjugX3ttgnXrWuUTG7agB/Wziiwj2TZYZrqPXD3R5EUIXRUqT5nqbyblqAjlg3KuyUOim/eni7QyekJsCofpmIxJ8cijfPhaz0xhY+K7nFb8V19uedewt90XW9o8XhbX+a688sRVV0kgkgmxgltc/uQyi0hr4MQTgSdybCLuRVWfs4AiUVTJSxNSbhWegW9983pAdC+/vAJBGX28gGflq3jIx+TtuKrE0Uc3P6v6pnzM9V0+nifqultJU2DVqmLy7jkPyOwsMDjYeswkWAPmRTV8JlXpGmWe/exc+VBjEU24HBRqWt9rqdWWlukVLwnZsyEs/41G8zddT5crqiodPopHgKCr3c3epoCodTd5SYQgs2ZNqzdEl4dPnSkKBvWYqyxX2TIuobsKQk8oIQKL7i3oU1bstBY2bAg4Sb4nsZ5tQW3E5vUQx669NsHxxy00t3lWjSUuOuHZq5LSUYQwHpqnbpzV9eGy7l9B7SfmUrGUoW1yEvjJT6IVGYUrr0ywfr29/jblQ3yW5TqTDKQro6oKGRNG7lHS5i03KSJ5NF3Klg9CsPddVTCv8iGnpYxvsiwh6js31wwl0zkyBLWaISRLFVBMng/xm0kB0V1EoKvZ7GrtW8pyELX6YHY9lBAsnZdkaCj7XK+3h2CJurt8vqZrp76w87xgffOKLWhXMQA3xBvSBQwPA2eckeAb3wDWrs2Wti1tsnaJiun4+HibMnLzzQmuvBI4fuB5YF/gs62ych3D+1oURSgAsb0fRd8/R9oi96PwHcpmZoBf/CJe+THGkrVrs/+UR+yjePTgME+CPSAezM62r8Sqw2QEcY0TOoVB1Y6pcYM++ZrcnzpsZfoa3FWjn3qtqjIi8m3qFH1L5w5mHhGT8G6yQmk8HmIA1tafeO9d7lXd5PysXfWhVhtcvqbsg1RdybGxrKyIv0OHsh/XrtX7h3UV81FCdN9t5/qkyaPIUIiVX4wQCt88fM/x9YTE9CgQOaq+gDPPzDYYe+wxz5P11ohodTMSSUL4+78HNm8GMCM9p1DvlY6yPSNV8or4lqf+LoexhpRhi8WxvRyL8ngRzvFROMoWkvfsAe69Fzj99HLLtUHxQFDe+7ZXsO04e0B6i+ARkSKI27yx8nGBTziSqwHbxp6QeR+6Y40G8OUvt27OdeWVSZDsoyoi8p4iumV72//3ZUqIDpvQW6tplQ7XYEu5R+oWH6ZzZOVLVRZ1qwNnf32titfwcJZgaKjpATFrbrQGHBqqQG0Aeb0gIY2fWheXcpY3pM33fN+3v49iUbYSkqY4amQBY2N9/gqIShkC99K9v/76BFNTwKc+pd+Q0GZhvfnmBGedBSQ3HGldTliUF0O6q6ryUWbbKkqY9ylbNXjlUZg7qHh02io/MwM880xn6yC4/PJk+bWqRpfo7pOv4tHpe90p2APigRz14kqnyiq6McH23rfJKWokjq0OPjIcpVPIx3TxmbE6knxvVIUE0HuiZI9I9mHQKlemKZa9GiGeJdOEfoojRsXnXS7SDg0BAwOZInKwkd2QI/URLAyPLKdvm2eiazw2D5FvBankVT6oaZZwvXC1m0nZOkTe+xHiLqSmlfON+dxiWeqXzj/zTOAHPwg/PwrUdpamOAoHUB8bcafX8ItfLNkIZmbcFvIioCjY1HrE8ojEPDdC3mKMWEBfUCjS8hhie/nHeAl4pi1K2YgtNKuXtG9fJmNcfHHcckJRZQRTmLspuoTy2acOTPcTVQExjTOqLGNLpzuu1kH93Wastb3ffJQPXRkDA0C9nmDTJmB0FBgbs9ddVw+bsqZ6RQSm5Xt12OpCHQSoe6a4FA9qXVzISsjsbKaIiDnojUarjKMNU9O5k3SFyP+LjcxMBQAAWX9JREFUgKB0mF6ebQoD8TxTX1HTt8wvcrky8+JjAY9lLVfx9ZiIuuRgsLaAG25IcPPNgHAeqF6En/88wYc+BAAH3Bna6hOjzmnqbHcy8rXcdpveaxKT5N3vbj8Y6sX0pSBLfW4ihyFR8mnbE6IowwWxPjZCHKtFoQ5BjUYz5Mi1nHVRnHZaguOPb35XhxFbNIlLVqNEUfj+znQXURQQX7kk77vQZMiWf2+G6rQeM9Ul5PvmzUvxzEtQZCOKnGMyGlEUExnqUsSCkBA4+bPrv+/O8zYjZX9/dn3iGR88mP323HPNjX3E/WqmzbwltdoganVpHolcmKJ45LIEEvBRFNRSZFzKu4/yl+XV1/y85FGzXlfeN4OPR6QoRciXCNbcwdoChob6jKvRfvrTQF/jBUBXVNGhLBqKnKQblaLDjHzLKtvDY6GIeQ9y8W0rHfp6O9UMicRUODo1tKjv1cXFzm58sXFj9l8srOlro6F+duVBPafbSFMOwcqNy5utF3DoXhJTWUL5iLF+dIgHxJWHDFWhMOUVYviNtVyxwHRPqIqHz9wb02f1nok5MsJSNDvb9IbIuoRwFwulJYtnXZpHorwk5Tkxvp6ZjD7lu5k8g6yP0hFDP1i2cPqE0IQUTFUwXOnKsDCb8PConHwy8PDD2WfVwpkpHxarTwepyuZoyY4d7Z7NIqiKlyMwT6ri4TvuiXMEOmVEG54ViV5QPKrIuecmbcfEsGZ63i4ZwZTOdIzpbbw9IDGFfVuoqOtcWfmYn29vvKrAaYu2kfM1fTcdp94Pde6GyIt6D2xCOEVeixWG6/J82JQOyj01KTG6OspWmQNLESrT003NX54nI/7q9ez/4cPNttFcDjhMeWpdyau1jj730/S7q034evZsbVa34IH4rIa1ZV8G2z0jNktCmEZnPzeWUOOhNJDzA5zX8aY3NRUQK51WqOD3+EpDdh+VrXzECvEqqN4+wnksg5Wu+2v3f/LE1/uW12hYxHkqtsee/eaxaVpk5NBmoH2bMRMUJaSS40hHWMDiYlh/oORddQp9oxW1s6VO+ZAbuaxsqIqITsagKhuC0M0R1bkbsrAHhHk5AJrclNeYrMuL6vGgWDt0eT388AROPdVshZE/y3NA1E3Rdc+/XrfvFaNrVyZkZUMO+wJom266+onaZqiYlA5bW5VXI5OVZnHfdH2oRSEB9KuxxfCU5FFmKBQlvJoGnaVjfcjmgtxzD3DPPc32ee21APBCMXXyQbrPe/eWuGeJgauvzjZDG6kteYdUl6cvsZ97B0LjVDrpFTAZu3TKSGxiKx1FC8q6YfHgwcyQ1t8/YZwbVgayYbdWa74PqHKKSeGgnGt6J7Li0lvkHv3yWE1CNgsE9MqHTliULd+zs63CqA2XQOizc6f6uzzQ5Ll+mywW8k4zyYemlwnF6+HjdlX/Hz6szxNo3bBR8MKSnHboUNMDIisGwvMhnr8sUIs06vXJf7o2oa5EJrc38V2EhuWNUBLnm5Yr1kHd9MnlXVM3yVSVEKdCYtowUyYkXs1Ha+40ckeRjy1dw2BtAb/1FuC33iL9BkA790OG4v6KyJ49hWVN5mVjQvFwKLUuOhkeFansorwCeZqQ6V2U9x1FKS9PGp90sZHH0OlpYNeuztRDRvZ+pGnr6vZUXDJAUUbq7mF+6a+ovKuN9zBAUTh8G6gsXLkEK1kgFcYvVQER2ARDNY0Pvh4TNY2pTB+FRBXAfeqRd/DXeQVsyoftfqUp8OCD5hVydu3KfjvppKYnRJQht0UxWM7MtE7qMnk+ZGEaaJdlTUquQG1bsmKr5plHttZ9N3nyVHyXQ7TVQ9dH5euVFZZ2Zbavra7GPWt0lVAro6Y1STk+dCq8yVZf3U0VuGM34tUDwIHaMVi7Nt5syauvTlo8amma9V11TG80gMnJLN3mzUuTYlPCimAuOvW8A8vN6zWI7RkIKZfSTUPGyrLSFY0YymZmgN274+Wbx3uie1fIUQYh+QCseDAZXqMhZck13998kQVcnZXavMt2uyIi8A3jjXmtFEEyNraQHrk+NlcrxfNBUdRivSRkpUTeLVUXgie8ITqFz9a+1Jep+qfzTuj2a3Fdn3rfqQqHK1+TB8t1vly+ajAAWvuZzTMio3pJAM+JqqqWY/peJkWZeIvIT5e/RSrcuzducS/bTIhPNmnHFREYiyZGqFIsxSOkO4U4PWN029jXQ01LkRco3XhmJlO6166llVsU8juPEnZFUTBZ8VBhD0gwukZGPab+rgotuk4rC03y3+HD7TH7MqoV1zZpWJeeSogw7bYe+5XnGijUfFWlUg61sQmQsvJB8Xrovquej1NPTdBoAI89Zt8z4NvfBk48sTXNmjXvBJBZZ4QHRBaYZUVEHNMpo2obE6Fgajws0HRJi/8uD5tve9Ip0Op/l3Lio4BQ2o3tvwhztNVdfNa/lNs9JeYKaSa/yxfho4gUIdzbOrJoXJ2ywpvQDB4LwyP44Afj7eGxY0eydNkLbQJ22y2Tn3EshbKT95xQdllKhytdUYqATUgNfTRFKFAh1x9SD937R1VA8ngwYns/bIQoF74h/LFX9mQ6S/BoTBEwXedQkN+JJgVEPaaWZRKaTN4SnbXXh04YX2V5i/Ji8b0u3YuDMlGM4gWRyxDCvIk0zeJjTzyx9bjwepiuX36WcviVTQGZm9Pnq7Pwm5RHXwVEvc8mT416DkXJl//rjtleIKpSSv2vq3se2Vs+r2WJT7Vw9QSLdb9QXIpI1ZQQhZmZuPkND2f/5aWuVeRbtoA+/aaYIkFe83RZFKx8xLToF/n+snkD8hrf8qQLTZ8X3RCQpsDUVLn1MKFTmGz3yBWaxQqECntAyOiEO5eF1ZTW9JvZOtqaTtRFCIkmpUTFJhzKAmmt1j5h3SeMRsW19KlcBzkv6nuTogDqUPPXKWm6nddt4VbUupx2WoLDh5vzPES6rVsT7dLKAt3gPDPzZ23H5LqpSoNpMrctBKtZFjA3p7cKb93aumqXyXthQucpEP/lOot8xe8+bVP9TFm1DGifUG/yJKoeGvkctZ4uL4/tOpppNfuTqCfkEUBNg5APNs3YVlbZKAOwXB3Tbsy+VlabEqyWmX3vC1u6tRP3MkCpLGJjwNjn5s3H1jXV3/PWk3K+bxlU677PKoVyXeTrn5rK5oC87nX+eRWJ6b2uM8LJx115dXrIYzpHIR6QUEVE14BN5QjBSadR2yy66tKicjmqEiKjLplLwSS0U/CJINHhayHSWfWp51KUEBtbtyZtA7cQTHX51OvA+Ph7AazBqlV1bN8O1GqTAG7WnqN6J1xtUlVidQrI0JD+WoQypV6fnLfu/lKft+zF0Z3nkpXVZ+U7f0eXl7p0rzrxX+eciOEBaX/Ofa3eEPmEWFKTLU8fi7yDiZtuavmeXH99lHx90d2CPGEdrnCuHTuSOMJJl0g1VVI+KAbCWOXn8X5QywhNo+ITWmRK66OYNBrxPCDj4+NRl/DVjeMmQ6+vDBI7bXewgOL26+ixfUBUQcz1WddYXGEeApvAr66EpbNU6+Ym2DwissdDDgUS/+X4dhOyNV23ApHN2qeGq4RYUgR5JnqZJuzbLFghiodINzDQWl/Kxn9XXQVMTx+7XKd6PVu68Ic/tJclf3ZZ2E2COgA8+ijw6leb66cyP68X0nXl6kKw1HTyc1FX81LPoRgAZG+Tqni50HkU1T4FmOeCiP/qZ91Efl3dZeUmY2keiTpHJK9Gr0N3oyMoIc/sH7SXpcO3TFs9pXs1iCN++ebEXKW+TFQ3adwxJNhmYfbKlEjRBihX2qJugUkh8VE+ixBwBbEnS9uWcQdax7A0rU4IFqA3Yum6nWkIjGkLqECXZCLi3TQong81jakz64RMIXiE7sWholqzdb/rBj/x2bXrJ9AarqTL31YPqsdBFdRtlBFnSVFEKYhrolybyPu447I/+bhoN/Pz7uWJbbKXTfHIlu+d8FI+gOak+pNOSrQhbToB2zTAq8dlTxFFbpJ/s83hoT5TtVzV2yEUCvW6dfNJXMqXipqHirzSlnaFrdjKSN78luqm678TN92E5IYb8pev0wAr9Fa/7basr1x3XeY1pI6PUVxqpt8Kuj8u74dvsSHVjHVplBBjVz1iRDrmPd9H8dDNIfUtS3dv0hRYXKx2/L6qYJgUETWtSpc4KguE54CQmZ1t7Wg6IcW147JrUAix3FDOUT0kaidRQ0VM+0Son22/qWWJvSrkeyUGIHklJV0YmG1OhFoe9biMeg26+QYqeULMXFAE4KLuh2mn+3378i2NqFNmdfNrdOGBJtJUL9y70HmaTIqHrm/r0M2XMv1Xj8neR53nTfei0i0DbC6rVdgTXhJB0BwDGZ32ZUurIlV2dNRwnitfk7vMhUUpOwKNN6YEdLsuD1JiP3TklXJ8lUuy1mQ+PWa6kHNNv4d4BqjjRiyrecj4TsH2fnO9+0wKiiwDtA4dDf0JHUBt/ur9MxnTbHKSwLcNy0vsM92PVzdXBRRxDKDvuuw6biKmMUqus8kKYRsA5feL7Z1o8niYwoxcZbqweaco56qWbNmzoxtAKc85L9T2k+faAbPSEYOBgWR59R+g9V7rJsObXko6OUg95lJEfF++VMOCOC57ME2rZsn1lv+re7YU4brX5Vmr5VuBSLsKFyXEyUCtls2FEBvzjY4Ct9460Xqur1WBivKQOu0caZPlqUpIbNNqSIxQgYQ+lzzPs6g9HEwhqb63txOKh28eLk9JmgIHD05gfDzfXCtBnjx0GwSfemr7hsACnYdbEMNBDFTKWRuJBRTnqeixOSCHD7fuMg2E7QERgi4PajmyIiAUAOFRkAUfAFi9ut1KK3+3bTJn0/DVcsUxVcg3eV1sxLzfFMt1jHJjvLspygnlpVN0yJrY+DDkubgWP9DJvC7FUfwm56HmKeO7y70oXzdvytR/dH+23eXVsuT/PuWqeYa1S2XeielhmzJXjg/iCAaHaxhZUlqPpBrlyOK1yI1U/0698EVba/UGapbkpT6wWNKsr0epAHwNSzHyL8pAo4Zc2+Z7hVLG/hQh+arGGvG5m9C9C9QICkDv5VehXLvYl4vpDbxGSnkyrU1oKUIBseESiNTjFOFLDpfReQd86qabNG+rL2UjQNO54vxQTGXbjI55XnKxFBG5XYo8feYeqfWS8VEIdauOHDw4gYMHgeOOS9rSq4ZVVXkwu+jjoPPSie9qn7GlVb+brkt9SakrZ6l/ahpdfibng6n96vLM0w5bjfKKkKy7QerJOqRK1WrADTckWIAhVCyPe9imLHVA+1i3LsGZZza/z801q5Ldkr5suWVdI5NxPVCXRSWmyz0ilOqUUeWQ8GrdLVeNJKaIhFCKmjdJvce2ZmgyEM3OJrjppp8CGPerlETMla9kHnmk1Svy0pe2v9Nc98a2rL/pfDVioHfgOSBkDh0CFpT3n68wWvTgKDdsXd3m5toFKfEuq9UyxUMXBqKzvNrCaAS6fSXUusnv0zwdzWUptyFfn21Ha5k8c0BMqxzp6uNCFZYp4ULyuZT8feukQyi1JsGYgqqQyOfq/vsosSZlmLqim5yGaOxvqavs9VAVEd31+e4hovN0yOUKfASgVuWjKSRrPSJqoUT6sIDBWhYmpoaKea/0pSvXpCzVauHrtAfypje16z5qW1tWQihY0rXdSzWtriGHSNmEsinZ5xnfKVANWiZh0dXs1N9VY4taXqgiEmsBG5UY3iRX81AjMLoBSru02WNsfV09lz0gvYVXU0/T5kRq+ZhKp92I1DkoVE+EKmSI9EKOcFmm5U5lE9zkfPO8UGJ4JFRLsq/XQHfcZpEG4ryE5uayfEIsdGoaUd+pKWDt2gnj3h8yNsvTwYOZ9WjduiSX1d1kNaR6A1TUfqD2Dfm4nJ7iPbHJb2q/En9CAaZOTDdNRpfL0ZWttnVxnBqvDVBW9WoqIwv9mh1HdTdGrvQSJoF1eadwy7leKINPWQ6Al740wctfri9TrIy1Y0fT2rq8+aTqbTJAmeNjVUhCrRAe6TulfNjOpygfLiOk+j7T9TvbOwDwW1jDRJmKhysvVfnSeX5MG39Wiccfz/rmCSe0e0Io6N4ladp8Vx59dNJmHO0t2ANCZmamuVqTr4BXhlZvGgh1ApXpHHFMyAiqsCdbW1XBxVUv24BNUWSo5DlfZyVWP1PL0v1ms4DrXlK2pZpl5DA3147elHrKx/OufqUirDiuVaNsCoR6r3RCeEibkvuKOmdJ/V39b9v404TOe6F+VpURW3rALmjovCa6PNTPNkz3X62feHkeSVs9GS4hWhWM1fbQlldeJAmxLIujHHYlUMftw4czC7H4rUXBc0AZ/9vHJum++g6AHs/TRRHKB+U8H+XDZsxT35OyEE41xOQxasaOJoiBqnzJYUnZ8c6sPpeHPAq0+L3RaE0rG7z7+9sN4Ex346UWzM5mk9BNQntb5ha3G4U8Lxb5N51ApQpSYjCUBwadAOha+pNST9tgarqe2LGxrvJ1LwrKedT8dWXI/20GR11ZR440f3NZ5HxZs6b5+ec/z1a0qtUyz8hLXmLf2VlHo5GdMz/ftBqZBFeK4VUnNNu8ArZ+qZtwrlPkVUVFPscHl+AuC/DC+KEqWSbPiA7d/TEpNpR241Kc5bqKl2ej0fysCtGqAiELqzYhT5yfZzUvoLlTeXLjjYVYjc46K2vzQtBIU2BszP7+uOSSpG1ckKF423TYBOX273pFhxoKZnsuPsYxym8+aUzn+SofJuOaCZOBxcf76MJnPCpa4TCVqTafuTlgcTFbBSuEqnhLqPfz8OHm+1DHzEzrmNx7HhDeCZ2MePguAc/0svB9n5msUyHCrmuQp76sVOVEt7GcDdsSprZygeb9L8qbZAqBCh2cTfdEnVQtf9bdZ/m7CXH/KPul+CKsrgCwcWO8fGUhVNRZt/+KThg29QeTMK7uxK7DJGTYrJ22FbJ0303IXgLZ4yF+kwUV1XJoSqdDp/DKXk6TQYFqALfdf6EkCwVEl6e6X4mpHNPvecYGXRmxJ3369B/xHIXCH2M+lys91SIvMD2v0PJtxym/FyFI+yofrjpQ7i/V8009VyXGffLJg/L+iqF0dRqqcRrI3h0uhUIeJ3tTAVnZeL2uDh2yb0Ijo4vDdnlJbPh0dp3iofN+6AZM1RNiE4hjvPQpdbfhEybiU7Y4x9ciRRn8dcKwbt1w+bPpN4H8LF11DYmmmJ5OWoRfILPIHzqUoNHIruOZZ7JwrfPOo3lF+vuzdDMzcmx764Arl2e7Lt9NAF2YhAqT10PXl0L7rHr98hLZ8nFdOopHUmd9dVlgfb2Punt/6FD2+dAhYHCwtc4+ylOR3HBD1s7FiluxhSJfoU0dh/NCMRRRxyQgrpHN5zefNDZsi7aoY7lJ+ZC/2+6vbhw3vWd1xFCG89yvWOfqjEfysVWrEiTJ0xgf//PwAjuE/Cx190u3QMzsbIL9+4GxseZ7c+/e7J2o9kFeBcs372rjNVzOzTX3AXE1hKKX13OhWml1S+Cq6eTv6qDoelHEUkIo1iSXN8gkoIe8HFUPBfW8mFDK1ikgsQQ5VRFQfxObDK5bB+zd65c30O4J0SkgLiXMpNTJaW1WfZflyuX1MKX1EbB0Sr78J+YjrF7drjgIbJM65XLVe60eU9uc7wpvumcgrHezs60roun2ANLdD7n+Mq7n6EJXJpA/nCsW6nPKg89ztFmlY475ar4x0tigTNamKh/y76ZQzPb5Dc1zdP1QTReD0HtWhNJvajvz8809o4AecIdIhK6YqZ4nvMhMb+DVzWdngcXF7LOPdd5mXfRd6YKCTstWPR9q/V3zMtQBI6/ly1aW/N9WL9P90od2hLmMQ14O1HJsgoW6mZwcIqOrh/ycQz0gMaCslKVy7LGZ5ecXv8isPuocB4DmxVAFSTVkj2rVd206ZvN2UBV8Hbo+pfN06HZMN6VTMe3ULs6T/6uf81CrAQcOZJ+np7NxVK6/EDyGhuxeHJeiSD2Pcl2PPgp89av+c5x0nH9+sqyo6+qjq5dL8ShDqJTr49rgUhCyrDilTkWtLin6iW2JfdtnoXz4Lv5huyc+8kXo+THPCy1HvYbmMy7RWruEbv4IdU4J1UCgvkdE+tWrgeeeS7RKrJxn7ykg7AEhk6ZAX1/zszVjg8BrEwxiD7CuAdEm5KsWzLIHJsrEXmrcqI/yoVM2dG5zH2JbbAGaa9Y0yBdlZQOygfSnP81cyqef7ie8vehFE/j5z5tL9MqCtmwtNNXd5LEynUu1QtmUCIoSojtG7esmT4cPoZ6MEGyCtTwJfWio+XxXr86OySsM+i4BTKmDLo3O0yv+T02583ExPZ3g+OObCparbqqxx2T8oSpnpjKKJG88fxE7d9v2qFKheDRlQ56or63/256Xa1wzEfM5lvV+t5Xfaigq3wOiLvtLUT7ERoQ6GcHW320ygdqemN7F67U+P+/eB8QmwNoGmphCoUlgMnk/ZFQvDfVl4PJU+E5Stw3mAlNYjusabJ4m9TmYXvZ58BUUdKExps2r1EnopnvkUw8fajVg/frwvNVVP8R/nReD6gGjWvSp9ybEy5Fn00o173q9vR2oK2KZrOc64VZdSMK0YhilbgJdf5+ebv4XnuRsHlH2X/wJjwj1HvlOulU9i+r1xuwXr399tsqVUK4oUBQMn/bp+7uKyaNMSSu+67wnVGI8D9d71/ZZ/q6+S3WeD6rBytVXXXTyfsbC/H7tjmV4h4aabVt9R6v32bayotqeTEpwp/eYiw97QMikqdsjYBp8TJ/ltLp887iuKS8s067ZIQKSyerlI3zpBnoKFAu3S6mSBRGd8K8ed+Ez0B882O4x+PGPE+PAJnvSVEVk1Sr9Slu+9Q9FCMJ3351g3z7gne+ke0JOOSVL++MfJ8t55X1hqs/PdO2+5bgUD1col61MnWIgjqvXQ/GempQRtfw8nlhT6KdAXgVrYKC5NK9oL8K4U6+3Hs+LbUwW9VRDG12GGirHHpsp5Or6/r7jvAuKEkz5zae8IscQSvk++Aj4LqVEl4fpN1NfpRomKfWM/S4qG7UtHX00sG5dU2MfHx8nh0LF2LzQdu6mTQnWrGm+X3Vjs42Q51DlZ8fkw1sBEZPQfQYyndBA9YDEEL7kz6aBMsaa4T51peRB6cw2K5Kvl6mIkC4KjQbwzW8Cp5/eelw8L7X96JCX4QXcK9kUPaitXw9s3w7s3Bl2vtxOdcqXnEZgC63Ku6qTCZuwHrobvUhnUkJ06DwblDFH/V1tK76GCNWyJx8Tq2BNTzfj7YXHQ4Rg1etYfsELBaSIsBRd3mpfmZmhl0vFNe75WsVtigdluWkfXGOjbuVH1+e8+DxvV/kiL93mo7r/tpUlTXUQ/TnG+FvWWF5EGTYP36tfDXzoQ8Czz8YtMwYbN7Y/a50Caeu/8rnC6CIWGDHt0yaf21ssoDhPRY/tAwLQrJwC1Qqta7DLFXGES+Spo+lYaF6hUKx0VEueTtnQDQLyd1Oe8u+68C2ddTQmc3OZK3d8/A+xatUAkqTVY2ASFOVjqvdKrb+cl7iOohECpQ/f/GaCeh0YHdUrHyo6747ud/n+mAR6l1JCWT3HhI/S7uOtUX9XJ5eb2q2t/+i+69ClURUQ+Xd5FSyhYAhPR39/M7/Z2eaKOLprLfIlbPIc5slPJ5iaFh9xKY1yOt13qre5iHtIXfkx1r0VecXK3+ad1D0/1xLcrrHJtB+UCV+DWgyK6mu6+yO+H300sGUL8I1vJPjqVycxPv6ZYipBYHY2webNmUFN7McjkJ/744+3e/mPOy5pOyajtht5GV6BiAQQ6XpPAVnZeHtAdK43ikXJtQyvbjDJM1DbhHtKI/axuvnWh6pk+Fi3iuqYvtZnGZfALBgYAM45B5idHcDu3e3n+1xfmmZ7LNiWpTXVzVbP0Pu7fn1YepvSodbL1kdM/Uo9BoRb+2Of46N42IQeylK8tu8qtjahfhZ/8twkoYDIngUxCV0oHkND2XddGFaMvXjUFdZsCrJv29Uh5y/fDxnTgh+29i8fd4W+6b6bjoVgaqu1WvhKdFQoi5WIcnWrq5kESttcT9nzof5m+uzqWy6oRkuf/HSUKeCaxrLR0Sx0cetW4KtfPb68Cmm47DL7NgaA21Naq7VOLFf/xMasJnpb6ei+ndD37NmDD37wg/jud7+LvXv3YsOGDXjrW9+KP/qjP8LgoN/cJS/x/vTTb9Ue/9//W6/puqzpy5WwCEchVl8dunS+sd4xFY+8L0Sd1ShUETBZhuUQFHX+iI8w76qLyG9+Pht87747WzlHHJeFcZPQaBJEVW+IWnffevowN+fvATFhswzb+pMuDbVvmfIPoeiXiE5hk/cDcV1/qIdJrYP4Lz7rJl6KxTxE3iL8QEWebB9iZNC1C1vbUZ99aNv9+c8TnHNOc9dzWdgQqB45wK6IqHUVmDbEtH1Wyds2bYKxzXML5NvxWz7fZlxTx0KTYk5R3mTPh1quWgdKO9N52HVQ+q8PVRJqTQaXLVuA888fwPj4ByCmZZQ5FwRoX4b73HOT5Xs3Nwfs2qWf30j1fsgy2AMPJPjFL1pDUVevzhSc172uWc499/hfBxOPXbt2YWFhAZ/85CexZcsWPProo7jmmmtw6NAh3HLLLV55RXNemjq0LMSa0A2IpgGJahXzracrDcWi5srP9kL0UYZsL2iXoGJ6mbtCUsqgvx940Ytaj5lCalTkl+fgoFkJEXna0L2cQycm51FATAKYS1h2PX+KMFbk86cqPgLd3CS1nrZQNUpojEkICBX6dfHxwhreaDRXwRLKhS6t2BNE1CuPkCXnIXs+TELiwEB4273llub1i8nnqkImQwkPBOzhVeoYaxPIQ9u173k6T4PuGdo8KOp33XtIJ/yr56nPX7eAh06ZANo9TGo6itJX5Hjik3eR4Vp50I1dF1+c/b397dXclFDMadNBMdykabMd1mrAccdlm/mqbXnPHuB1r8td3YpS/CpYB8QGVEsMDQ1hKGTDsiUuuOACXHDBBcvfX/ayl+GnP/0pPv7xj5ejgPho16oQpbN8AealYilWMCqxXjzUfNIUuPDCTHP/2tdaYxkFIYKtbl4DJW5aLRswe1Fc3/Na7nxwxfXbrGYmJcRVXixqNeCf/zlZrse+fcCrX623Gv393+utRjqrNUVYDk2jS0f9LRRXu3WdZ2ob4rNtaWrfvX5c99UUHy9/VtuiHIKQpk3hXygicj1N9bEZNeTwG1UYXr269X4JJcD3OZ91VhYvDugnk8r1MbVD12a1cho5H5fikceAZKqHqU5Ae+inr0FNbb+6OpsUAd27VFVA5Hagy881l0aneNgETdN1qH3Td4VGNT/5uK0u1PRloo5hImxu06ZmGl/Phs8KWhTuuy97d73mNdlcxeOOS7BrVzY/RCy3HSKr2dKOjgKf/3yCxx47hPFxPwGXATbJDQhAkiRR2wQATE9P45hjjvE+L0rXozQ0nTWOGnOuC9uS84r9MpHJ8yJThQr5P2WJUhlVYHEpIQBtYPVVPGwDeBGbvLkmw4v/6stQp5DFCnfwRbYkh1qVdUqIDNV6bxI6QuqjI8/L3EeR1p1nUj5s1xiy7C5lMr5OIJZXajt8uFWpltux+CzCtORwLZ1VXUV3vWKtfnkugLw5oLwRYqix55RTsv+y10P8qfMGbHW2ec1tQrjuv+k6Yi+oYOtr1B3UBepcDd2zV5UP27wM0b7U/XJURURun7YV7FyKh04BymO0oPZRn3ZLsdCXiTruyePf1q3ZMvVVolbLlI7h4Wy+CmBufzLqmGBLKxgby5SQxx7rjr1R/CjeA/Lkk09iZGRk+Wge74eOf/7nf8Ztt92Gj370o97neokLt9yyAzMzc1CVp7PPnsD3v99qvbUJwRTByGQVCdn1VyaPddv1UlOp1bL5DJRzXMKtzoJPndhvqpsubYjiETKAU4VL04pWuoFapJd/Vz/r8i8aVRj48Y+Tll2x5fhWSj5FeDZcz4P6jItQTASUFa5sCof6m03QzYNOIQZal4geHGyOReK6RP3kuR+6TRZtSohOQFet3/PzrYqNUD5U4aFeBy66KGmLAxecdVZzxbZ6vRliJt8D8UfZ/4U6nujurU0BAfwMPrbyfQxQ1D6p/i4ri4B+8rjIX1yXHN6nli23nXrdrIiIPGzXKLdt9bMtdC50JUVdHzV5MX0UjyLHqRB0hjXRP7dtA/bsSfDww82VovLM8XjuuQTDw9nnmZnsPopNUnWI9rF9e9bXxQqNcr1NoXly/8+rhJ500gA+/vEdAMbDM1qBjIyMtCggJsbHxzExYZdFHnzwQWzfvn35+1NPPYULLrgAl19+Od71rnd5182ru518MvDQQ8c607kEdR8BKnRnch98dxL2eUHqjoVeg0sJsQnatvqo1iCTdcgl7PgM3j7KEUUJoZYX4wWTZyCVX/hUy6xN6fZRNHxDE0LTUo0OurS69mfKT6dg2hRp9b4VZfk0vYgFOguzvKO7uB71T13BSr4WtWz1s8hDeDkOH85Cr4TyITaHk88bHrZ77ES4lem6xWd1BRwTIUquTfEIXZLXVA+XYE6BMv7oFEZ18rg8+V4n8OnGCPm/vMyzqL/tenT32aTsmcLRfCIZTIqCSSGhzutzjYsxn2MIuvK3bs2UkHPOAb7whfxlXHutuSxTPWQPmzqvy4bo/2rbpHo/BAMD2X04fBh45hnaOYwf733ve3HFFVdY02yWBv2nnnoK5557Ls444wz8+Z//eVCZXt2oXs86wuc/n7RsnFWvY1mj9hEGWyrisMjrYoNj4LP2OeV3Ha50PlZY11wGHyXEdI5JWHcJkb4CnUt4Vj0bVCVEPdZJd7vrRQ5kcz9sL1Db6l0+SmBZ105RkNS0rnQ6IUyneIi8fL4XQaiRQm7npnAZdSyU24VpeXTTMqwqchpRx4suSpbzluvkEliFoKGzfobef1OZ4rNreXjXmO773abwuDBZ9uUQOfm/TvhWBTvhAZEVFJ0nRbQB2Rsi8m40mvOOdNepfnYtBewKZ9N5skPeYzZ85gCaiPUeoVyXrs3VasCVVya4/35g927gppvm26JRdGzalGDjRmDt2uy7LZzLpqTLbUzXt3VKsGmzSnUeF0XpL8L43HmKD8Gisn79eqwnrr3+i1/8Aueeey5e/epX47Of/Sz6+vpCKuingAwNta5SRFkCkIpJkDIpIjpcA4yPoO+jiFDyEMToRBQlxISP0E8VDn0ETp/zQpUp2YpcBr5tIbS/UJYR9lFIQnHVO6QN5a2LrUzTd5k89bOND64XqEnQAFq9IqoSIteZKmjLK87ISoT4k/MV32u1pnHJdm2669At2RrDaONSAHST1Cn5u66HWqatXEoa+RnLx8Q5ajuWn6GokyoYyvmpG1zq6kNp0z73VufJkZUPXXrd+8F1TIetn7i8J7bl5kPHjJDxUxyv14ELL8y8AHfeSdOoTj89Uzp8w6DU9mBTLChp5ONyel2Z6vHeVD66k6eeegrnnHMOXvziF+OWW27Bs88+u/zb2NiYV15eXWh+Hli1qvWYzyAkjh88CFxxRRZr9p3vmFf+AeyuWF39QqAMxKbB2adD+0489803ZH8LVwiM7hzX+dS0rnJtuOa/2OoUotSE4GozssAgoEyUN60Y56pDWdiUAoGt3cmCifxfFmBkTHsLqS/v2PfClZ/8nG3Kh2n8EfdDCIw6ZUROZ6ufSC8818KKqaav11sVH1P+pms37cuhCskmqIqHXJZcnprOJz/X8zCVSVHIbL+rz1t+VrVau+dJ1690Qp/6u+zlkMsSz1z8Jq+8pqu/Om6Z9g8xXbs4x+XRdHlEqO8MndKi/mbKJ3bkRYj3Q8fwcLbc9c6dCT74wQbGx//EmPbgwWzJXF0fpLy/dYqt+ifSqaGB6oIUaviWre/o2lkZczbLpToeECrf+ta3sHv3buzevRsbxWZPSyyK9eWJRLNL+gjls7PAXXc1J0KFCKZ5BF0boS8RG1XW3vMM7CKtgOIpKcsrYSsvliCapsDLX946aeuf/7m5UZP47cc/bl+IwPQS1+F6CfooJDHwsRj6esSooVi6+lCX6iyyTah5+SgpJuRVsELqoipf6nwPEbYjT0SnYGoHskBKEeptdXeV6aN4mMp0KQamMilCFDVfXeidbq8WEyJPXd3UPqDG34s0lLk61PahMwjIx3UGBdNEdZMnk1ofiiHElI/Oe2Kajxq6wa1PhIF8zumnZxPCP/axOsbH/wDAfoyPt8bin3RSgtlZ87wNlyEBaO/POsVDnGObk6TOBdGVb6pP7yke3cvb3/52vP3tb4+Sl9drzXcAN6GGmbk6pWtwsNXHBuUlRXm5yFCVjbwdiiqIUaAM7HktTXKakN8Aehyv7qUbU/ERee7bB7z85frfXO2IoniomGLGVTqp8Kpt0HT/Xc9FFpwp3gufpTpjKhsqFKE5TQFdyKypzajhVxQPhZqPuG554rE610BOK//plpE1Xav6m+u/DqqnmCLk29Kb6qrWQWfhp16fj/KiekDUPiCvYCXSyegUC9t1y3nUasCRI818Dh82n2MKN6O0B91xWci3zfNT84phJHO9s3S/m95TId4Sn9W7hOAu982xMeD224HJyTruv/+EtvNGR7OVrqghWK73lqxM2Lyc4phoR7Oz7YqHS/nQediKHLs7wyKAhQLzrjakLjy/1AIOH57EwED7cl5yo8gjUJny9MUnLEhFrpOPdc1H6FuI1N5M90+8SAA/ZeTIEfOgLvKkDvpHjpgHYsoL0fRdt3Nvfz8wM/MkAGBm5gkMDY1q65nXja7e75kZ4K//+p0YGspCFtasAWq1yeW63X//O5fKnGw5P7S/mChqA8g86Kz2unrqnpM4JqeX09muV/ebqQ/Ebg865HFh//6sjR48+ARqtdHlPNSXvCrIyEJif3/zvyyMUq6lvx944YXsfNFmh4aa3wcHs/yGhprlyOVT0AkVarvX3TeXN8V2TC2TOh/DlE7URR2ndfWXhSJxXF5uWS2Lci/EvRd7xQwOZsrHoUPZ8b6+1mWb1TqLe25SbkT+8rMHgIMHs/b5zDNPYM2a0bY25XoWvu9sU5+WP8t9l9LGfdpqSH7Ucci3LEq91XFRPMvjj8+e+zHHAP/wD+/ET38KnHkmcMEFwP79k5idzdoOdQ6I7pnK7XZurtnO1N/k/j4/31RUxBLP6lLPFBlQrvfc3IGlY+wS6QVWLRKCth588EH86q/+ahn1YZgVjbque+wdSxmGYRimm/nRj36E17zmNZ2uRjAHDhzA2rVrAXwLwJqCSjkE4DcxPT1N2gekE5AUkP379+OYY47Bq171JPr73RcSqpx2wpJrW3bO9h2geT3KUNTz3DeTddjHkmRLS7V6m36zWdHl344cmcR3v3sK3vCGJ7F6dWsbLWveCcV9DZgnbZ533q3GvL/znR3G38qcV0NFfe6u50pJY2rnpusvwgvmwjaeHDo0ia985RT8m3/zJFatGllOrwtL0IV+yKEXOg+F69oGBprnib+hoeaO6LJFXBfqE+oJcYUd5hmDTcepebpCrXTWYF1/Viffqr/bzlcRIXHieQwPZ89DPCfZC6bW07Uhofgvez5EvgcOTOLDHz4FN9/8JOr1cIHFx8OtHrP1eUr7DsHH+6DWw3fs9RmrdOW5zklTLM/5mJ3NvPTiu2ibvmHiajtW25bs6ZCPy544U+iVbm6Nvc8dwIMPbsLzzz+PdevW0S6kgrACkkHqPv1LLaO/fwS1mvlC5JCYbkHUVR001VAf3XwL03XqOpUL30Hbhs/9F2EG6uAt1FJK2YuLfgNrLAWkddLxyNKxEaxaNeJVRl7Es1PvoVgxbtWq5sTf+fnWuG5xvts13t7vqqZ4uBQGnYBAbR+2azUtQb6w0H6era3GwGTOyXY+z57hqlUjGBwcQZpmdV+1Knv+AwPtqwwK5M0HV63KzhPXLf7rypavddWq7JksLjZDuOR6r1rVzLu/v5mvqJPPUu+Dg9l/Ecs/P58JvPJYKtq8mq/an0z9S/ym26jT9Ixt5jbdCo9yXcVnkcfiYnZ94r6madbm+vqw/GzVkBRRjk0IlO93X1+W56pVWXly+5XrK8YUUQ+1rkDzmPzsRV6Li0BfX7N9CgXZhuke+ygCrvGeYrgwEdswZ1OUQseUEIVE/V0V7hcXsxDoI0eytiOUAPHfNMao+al5i/+iTcl5i+/iv6ycyGnESqq6952olzrXRv4v6O8mIdNK962CFROvbtMrYXc+sapFTnqi5m17oeqIuXQgtWzfOhaNrT7ivseob972kabAeedNONOJNPKy1WrZnb7/6j1XFw3QLZ2se06mY4KQ33QvbBnfexcyhuhe7Dp0wqk4Jr+cddiuX4wLutWGhOBqyps6yV/FZs1Uj6vojtvum4+X2jW/j3JM5/UQv5m8HbYlt2Vlx9YedQKZWq5aX9t5AsoqWK5+5MLV19X+6vpugyKv+KwsqPYZXb0oUMYil0FS94zStLna1fx89rnRyOYSiUngapkmL4r6Wf6vtntdGlt6E7b+XqQcxnSOwkUWSsMJFZxiN8oY+RU1sT5EaKaumgS4d9vutHCrw7UXiEtAL3tQ07moZ2b88qjSQGx6ealKCKBfulK1cMt52pSEkHtga8OuFz4lb0oa2RIurP6uc9WVgXzqYrre+flmmI+8WIA4Lo6JP2q+tvr4KB8+ConAZxK7mpevAmJanUcVvFThyxe1XDEpXX4u6vMxlatbXUotSyw0IkJsdO8LXf+lYGtHunG6rHEu77st5HyXAYSifMjp5PYhKx7yn9o+fcqX270uxFDX9uX0urr6IJ/bK0bwJuwB8YLyIqI2sjQFLr10Anffrd+MsCjyDm4hlsBYA2qIIiKgLmPbzaSp+cUYKkTFJE2Bs892ezxMvOEN2bnf/GZ7n8nTNkIwlad7Keu8ciaPiC5P+TeBbxrT8y9C2KEqJTbU0B0fL4RNiKvVWvOR05o2TMxrJDIJ/LrvruOAv8LhKttl9VXL1Skf6jnUjfpc95ZqNbYpPGr/0+VJWaFLzoO6H5Ccp9rvXH3YpLi4hHQfKHnp+qDOgOKLr1HFphwIL4dNAQkpg+rxsCnoar6+ilBZCilTLl5dNU31y6CGINyCRVBEY80z4bxIAcd3sA0Nz8prKSoKmxAr4/J+FDUvRC1HWBdj5S+Tx0Ogg3pPTMKFLg+KR0Q+31YfiuAQei/yGld058ltwhWHrcM1vlCEOx1id3S5HHXXdTk/lyKvu0chCohrzA0db011oSgeolyd8KUKYbqQE9uzkg1ENqXMNIbrFB1deSZDlKx4iHEqZFzUKcqmfYFcgqhunHaN3THGv9hjqYk8ezbplGA55EpWPmRvhIxLmdQpEaGKh69RRtd32APim3e16ZhIecUV4VZgmU4pG1SKHsBiKwa2sKYqKCEmS7o8yJlCDGRChFkqOgtS7IHzwguz/vO1r7XPCYn1jHwttrr2QVVEAHd4h099fAQbn/Mp+J7rekGr99C3LdkUCIGqhJjqESrsuayZ1M0HXXlTf6MoHpRNBE3n6OaFqOWb+pG6CZ+c3jQp13QtPsjnipW2bMYFFVP7NHkNXPNcdHnr+m2evko1NOjmoHRCGNa1I1n5EJ4QWfkQ/235ue6DTQGxefpClBBTHZjeo3RxMm9jynN+kTtE6wajsjpOiOBZRDiWSUApIsbWVn/Tc7ZZ2H1ehlRML4uYuF7IRSiMtvZmel6m+21aMU73DCmhdSo2gbksK6dKmtI9IC7BXUbXJ1wCq4yY+1GvZ2nr9dY8xUTcPAq5bQzO40EOSUNRPFyT1XXn6+LkTfWR26DsBTHdJ9ezpNwH0/myAClWLLOlp3qV1XlMttAlikIQc5yjjh1qWT519y3XlU5te7ICIv4LT4gcNmW7Xy7jgkkBcc3zMPUDVioECyhuJ/Si8o2HdwiWWIKt0QCuuqrpxbjrLto8DqGh+57nQ5GKhky3uwNNQnzRXhDfPEwCr3z/5Xh5sSymik2o9RFi81CrZV6Lgwf1XkDRH0SZF19M9xS6XiJqPfJiei4UhViXxrVogqtf+3pNfJRQCq6Xap6Xrq6uRb3EhSIih+GYhGPdPQ+Zn+ES1CnEUEJc8zZMFmFZGFOFPZuwahsL1fsYYmiiIJ6rGtIjynL1cx3qeSYlRMX1DE39NlZfsHl6bGFhuuNUXEqG+l3XZkXYnFBAdMqHmofP81QVD7lcm+Jh+0xB9CvxrvyrvzLvh8V0H0FDmRzyEoLvyj8UylA6fBSOTmj4Rb2gfOtQhMdD/CZjK8c1gVJgilUOLVc9R81fDqPQIYfBhLQh6v33yduVn6lMioXSlsZnFTeA5vlSy6WElhRNiOJCEdRMfcAmMAnhULRTVVBWn7WvESaGkhY7D5fyYVNC1HOpll6TACg/N1N8vmv1PxWdF0ynIKjhY6b0at6m61PLNq3o5nMtuvEi5nvPNtaHKGJ5yna1P1XhFcpHmuqVD/XeuZ6n2kd0/USnkLuuR/ebjW439NrhOSBk5uayP9nzATSttrKmavJsiI3YYhBjAlcRdEqQiQnFSlWUokMV+G1WIRVK/Lwt9ME1QdoX4QkJUW5cxH4+lDq6FB+K8OIqh9pnqZ4TeW1/V91cUNqELNiaQrBsa+aHWId1iGclC4eysiFPQhf5yr+r94YScueqT9np5DSmla1M+ZmErtAlR+W+I3+2tXeqgUVt47Y2ouZpqpeaxoSq+OiUKyDsPe5zXb50yihhe5/pwgLFb8JTqc750CkfeYwdtmV4xeqM8pxEMU9RrHKapsDevcB73mOXEQVqlA3Te3i9Zq+66taW75/5TILR0dY0d96ZNSqXVeOOOxIMD/uU3orvoFWGFl0VxYNqBQc6tzSvTx1jCIkUAdhmcQ+x2Nn2AKB4FYBs8D582Lxog+0+FqUouiyBIc+VItz4tGkZ11whn9CtIsnrxdVZndX2IQwLJkHD1pZkJYRaF19CzvNVOAQ+q/bYlBDdIhO69La4e/UzFdMYZgp30rULXRsxpTOVq0PNQ6dchb57bEvhxgyl9FG6qJ57atk6j4N8XPdfHkNsyodtbFV/k8t/3etoCkGaQru9wsGDzc+XXmrO6847M+PcJz+ZLI87Q0PA/PwBUvndwwKK81T02BwQlTVr/F+a/f3A8LD/wONTTtHKRlUUDRsxlBDqRn+2F6utLnlfGj4eEBWXxUwXwuKzIRwViuXOpfCEeB+oUPL1jQ235WVLFyqYhXq9YkNto5Txy6ZQ6wQ/VfgT161OLNd5OkRYoDwZXb6/sUP+fHDlS5n0bhPoTGXoLNOysKern66/ULwMNkz9Rt23Qn7O8n9xTpq2tjtxXWo6U7k6dMqHmleed7Vpud8YbS1EGYxRLlXpEJ/lNmeag6Sep+sTtlXoxLmUJeRtSs7cHNDwWIe+VkMuIzVTfbyGu//+33dg9eoR1GqZ8mHDNvAXIcgJilI+ukHpUAl5oRVVdpFCMhAnFt0V7xtitXNtQkahVmsNcwT0e58U8awpSqKP54Pq1fC1MoaWk9cS2wlM90YnzKpCpk4JcSHvli7wnYfgQ56+4rvKlo/yYbMM29L54BqXikAdO9SVv/IoSPJ5oV4eGdd47DMPzEaZz8HWruTffdqmCd/9zNI06/8ixMqFWDRFF16V5XuElI/w+IuImt6F54CQOeaYar6oYyodnVI0QqzG1Hwp59u8IECYJyQ0XR6Kfn46z4iLmBY5m8ckr0fJBVVpc0E9J68XRM7DpdDENly4xklXeaFtRlU41M9qWpNCIns5VO+I6Z51+t3gsxS6yUIs/zcJhmp5pnMoiqLuu6uuMi7vs6lsk5dMRuch8+njOuU37zvAt1/ENHaGTpz3Kd8nHFD+H7rXlC10UHzetQt4wxv88jVfbwUFSKZjeA0D/f2df8mo5BEcquDVoNShDMG9CEwvQ9v1hD4TeRleHT7WeZtw4CPkF9W+KGFbvkqhnLcPIUoP9ZyQ++cKBzP9Hrtv6dqh3EZDPTlUTJZr9Xrl72rYjg8+inmMd4jPkr6hSojApHjYzvF9bp30VqukabtByrd+uvQxPCAypjYtQ2mTIe0xdvSGrU1RlBD5OPXeqvdG7B8iJo8LzjvPndfERDZXY3QUOPZYWvk2/vRPsznC9Xr1ZM648D4gXUMnLM+xyeuezzNXwnUuZXM/X09ILGWDKnCnqf4a8rj8TZZ/ap18iZlviCDkwjdsypZPzD7qyi/PswytD5XQZ25TsGweEJNiLaeVFRLZEq56RnRlq4R4ykIweSBsZZrS6RaRsCkaJqHQVKav94Kajw5dyJzqBVHfr/J3n7kVJiWjqH4m8L1/RXk/bfgYHCkKiC0MUFVGXBtsTk0Bjz0GXHihu44qmzdn/22GiKycQVJ+69c3P3djmCxDoxIKSOwBoGqKR8z6dNpSFhr7XaTVO0YeJq+HSYEqSrnoBkK8HkXmo8tPl6epvKK8IFQLO/V89Zjtd8r16e6HqojIAoVr2WKTcqera5H3Oq8SYlq9jqJ85KWM8d2k/MTMH7DPRyqiHPmYoOh3TUxsyqxu7LCtsmhDTt9oAOed1+rxGB8fb/lPgfpMBwYGMD7+AQBCGzqC8fFbbacsMz/fi3uC8BwQMlV/+J0YUDpVZp7JgDYo1gaXN8QlWIbcMx8PyOKiuezQ/Iugai/AEPJeQ8yQDDVfnzyr4AUR2ARd3zzyeh5k4VEdG+R9QkyCn0v5ia142gQ2wB06Q/V2UL67MI3HRSnE1DqolnMdFCOUzqtWtBekW/D1yKkeD8A+X0TNQ6esNBrAs8/61z2UWi3zlKRpP4B+NBrA008XtJIF0xVUwgOSFxYeOwPFG+Jj5Y59T30FUPVcl/BWhHVtpbWrPNfrc/9dAnARCpCar68HRCWW4k4RelUvoOoRsc0ToQiZse+7SfEwhZ1Q8qJ+Nx2jlmULaYyphMjjten5mlDDc12KnG7vEfEZiHtdtr5u89jlKaMIXGOFLSRQl95U5zQF9u1r34cjxPOh5ku5r3IIZ73ej49+NFn6vBKX3WUPSNfQKeGsl4RC6iBB3aDQZ2WQKt9H3UvMVt8iLHmU/Kp8D13kWUVGB1XIpaSNido2YnhBKL9Ty/S9F645JDrhNOYSvZRwIZPiYVoGO8RbQTkWQplKiClv+VrU+QRAayheyHtBbZtFehtd47YrjYkyx3tTO5Z/o3j+dN6PNM1WtioCH4WvXgc2bSqmHkx3UGkFpGihoZuFuTwvpthKiEC3KVRMis5fxmWp6+a2UyYmS2meVWSoz93lBVHTUPuT6yVrErZC94Qp2iJvm/9kCp9RP8sCkmsVLdd8ERWbJVf9TNnAzZWvC19DQSfn7LmUQ5MSonq9VIXTBGUp97xjp087KXKuiw2fcnRpKaFWps825ePJJ7M9NnQrW9k8Hy7vyFVXtXpT7rijdf+OIjxfvQF7QCpDJyzKTHEUvcO0nL/4PDcHLASsPkeZz+KCB9dWinr+oZuNuQSUvOOFzYsWaz5SXku+K0+qwuFTLmVZ31CruBqiQtlHQXeuqIMrjU995GOU8NNYXhA1vY8SIr7bdk4HzPXRKSemvThCDUiUZ1JUaKUvtvKpm2ba2rJNAdEp43v2OKtcKKyIMDKlNoMqWh9WKj5eEKD3l8CLER4U2u7yWt7LYm6uuUOtzJ13Jm33rGjlU4euzE6FBeoEdtdeNSYoHgAX1Jh9nQdE9xlwe3zEd5t3JK9V3GQpdglrOjodlhNTCXHh8krYrsvXg6U+f7UOsVCVKhdlrJClu0ZK/6eEWdk+q8rHnj2Zl+Lss91lC2RvR+i8EMbFAorzVPA+IKUKTZ0W0LoNn5eabzhWNxN7roKLbmm3VV8FT0eZYXsyOm+Bb+iOb5o8Ap1rgrJcrknxsKXRhe/YPCPyc6KuXEW1FMuYjsfwhoQQomhQzjEZkuTnLt9H054h4jNAC29S09g8JHnx9YzGUHqp6K6b6ul0efN0iof6+5NP0upZFuwJYYAcCkiVhKYq1aUsOtFxV5ISIuiUAFsV1JVSdHTTPQkN33Kdb8pP96JN0+ZS0RRc45uPQKQKQjqLtBx+I8rXharlCV9TPSNqfairV1HDUXzrGfudEsOD4ZOHKa1OETEJrTI6zxZF4XB5UuQ6xcYU+lU0FGWD6o2jtGnT9c3P+3k+Yng51LkfLmJ79roP3gmdzPy834uzaFai4hEb3wFgJSohMmV7R8qGonC4zrnrriwkqxNhWKHErqsuxEUWIGKNo9R6m4Q8W3+2KSHimMD0m4/3xFZP9RzTcZvXY6W9L2xju+65y+1T9Ybpnh/FS+Qb5hRTGK2Cx9blhaN4QXwUD3HNr3vdxNL/9jRURcNHIfnMZ5JCF8UR1x4yv5OpLl2ne660l4iO2BYDVkLCiL3caCep1YCZmbh5+oTRVAXd88wb2hSD0HwoQpiPEgLQw5MoE8upk899hLeqKh7UcdZ1n32Pm/Kyze+jhOFRwteo975Tk8aLXiWLqhxTz3PNKWk0gKkprypGIYZ3b2XCq2B1DSu3kTapiruyCkqILCwKi/LAAG3VHSbDNLE8D3k8ItS63Hmnn6s/Vrk6qHVRV2qzKa95228e669LsabGb9tCtUKUGh+hjXpON+KrhMQoRxeGR10O10fpCiHPNRfZPijhU6562JQPXR8/77zwcYwnmjNlUxFx1k4vvkR8qYri0Sl8PQ2U9D5CXq94OmTm5spZllFYS133MKbS2A3PK+b15g03sS3VagqXoozLocvr6soI9ZRUiRjzOHzzEekBuydETmtakEDOgxpCVdQzqcpSuyZ8vR+64xSlQ5wb24PNMEVTebG2qoMLUx5FCZMi37wTkztJyEuYMs/DtfGUDxdfHNfDArR6LHTLAJtoNNo3zYpZF5nYXpoqxbT7Lh2dZ46Ir9W4lwhRNFzzLvKusuXj/ZApInS4rLKouLxwPl49qvIh8ulE6BWTFw7BqiQr4eVCpYzBNLb7Pi8ugVKtq5icVqvZQ8N07aobFA2B6RlRn91KfknNzVVjOcoqKBIU1In0MpS5Hbb0lD1EqjqXIy+xxtrQUCxK+brNCgF/74dabpHkWZUtNq62a6qf774hIp+pKeCxxzjumOkuKiRyNun04FElqqQUlIVNIVDvh7CuNxoN/PjHwG/91q3Gc+++O6m8216Hbp7G3Xf7WdcPHw6b52DyhMT0kOQl9hyWWKj1ajQaqNfHAdyKz38+rnckBqZ5XTZFxITLU2KbH2JKmwdfzw2jJ9T7ARR/76s6plOUD9tSurZ8hefj0ksncOmlwVVkOgZ7QCpDVQeQTrESX5Y6ISfWfXDta1BFajVg7978+TzzTP48mN7HtrhErJ3mTX2PsiJR3r5qK6+qhMwFCfGCqMKuaTGCkEnmuvNiU6XnSW27oYqHYGYGeOSROVY+mK6kMl22ykJgJ6jSYGpidhZ429syK2/eeHeTIKO7D+LYvn3tv9ks8upPwotQRa+IWBbXNF+hiHkVNkz3VXc8xCvik38vEGMeShW8KCH74rjmhbjOi0XVwk5jE+P6KN6vUIUkNlUav1ViKB9qeOKzz2Ze1osvptWhV8fS7oY9IB2nygNHJ+iWl2KjkT+PEMVD8Pjj+TqYbndfCrHbq6nclTxfg+kctv0hbPgqI9SwqLKWSi1z3O025UcVln0UkjKo6r30mesB0HZRF8d27aq+gMkwNlYtLrr35D1w4ADWrl2Ll7xkGn19I9ErwQpIk04OpD5l9/cD09PA7/2evwfEZ44HkLUP08pNMa3tvvMq1HZL3VPjrrv0u8barpNCjHkZRVrJ8nhLYtfLda+KuIfZHJB6cL4uQj0iMzPNfqzmEWOvH6pnpMwlXCkUPRb75G9L68qHunBFozGJH/xgE17/+mnUavT3fNUW8ai6B4Y60dyU3759fu8J37HMdwd0QRn3fWHhAH7+87WYnp7GyEh8WbQshEwN/FcAqwsq5TCA/1Tpe9VxuwErH91HiFBCeUmpA5j4fviwf3lloMayU1c3qqq1jlmZ2PYPCPWGyFA9I1V7F3TLxPXQVa9Mx+fn/a65E5u+dlM7ksmrfKRpnDmBRdBtXj2m83BzqRDd4P3wEURClA5BmpY/z6Gs8mKWE2sORhnE9CrY5/rQyyliNa9YdfNFnVdC9YgMDwMf/WiC4WGzJ0QWkmIoI1WzmtsoQhGpiqBmU0J0xPCIxaDb2lFexQPIQnIvvngC551HL7eo8Ub2fMiwEuLLAoqbq7FQUL7x6GhTqbKlgmnH9vLxeRG4wgnStDNWNYZZiQwPZ3/UOV0xvSIxBMhuE0Y7QSzBUCc0d1IpqfKzt73DfJWPbtrpnJUQhkrH54CwEpLhs8FcEffMNWDIL5n5+XZr6113ma2t1PjlRgOYnATe9z76Tt0xqKrHwEY31plpp4znSPWEiHFlZgZ4z3v0nhAdZc4TAejGiSKE0thLgsdKT83PHqqVzQE591y/OSAqnVRIylBE8hjHQhQPsc8HhRjjCSUPkwdEpgglpPfmgHwYQFHzAhsA/qjS96rjeqq6EhHjJvY981E+gDgbTslL39pCksoQ0EJCdsqGFY7exCe0LJSrrpogKRJyn7z55gTHHQfIc+aF0cEUnpXXI+ISHn0FP0qevsSw7lbVOhzrnUKdC0fFp135rNblm1ceKEvrmo6X5fngdwxTNpUYCrtlU7gi8PF86H4PuV++q10JxGB+6JBfnrbf9uyh14VhmDB8BOfR0Swky3fBrrzhOSsh7LIo5YP6fCnpbO+UTihPeeYfdbJN+Sodpt+6JfRKhUOxKPA+IJWik8qIT2eJUbcYnZOiiISWo1M+TGUJL8bXvua2tF54od2dXGVLDKVuKz08jAmniEnxQHPDUKonRDdm3HFH68adTHeSRzDs9E7y8/PVmQgvQ/X6+CgfaZr9iXBICmV4VH1gJYSxUemmEavhFrFTK9Xa5FuemlY32OoGu1j3SleeUD5ieF327w+rF8MwnSVkjIkRnpWHKoVhhY7RPhukFpHWlgdQvoDZiTaVJ6zM1+Mh2Ls3ixC48MLwsqsAKyE22APS83Sq8efdaErEXKub/ImBN1asLWV1KzHvxDUZzuXd0NFpK02V4HvBAMV5QkzzOBgmlG7ZLyWETigeaZotyCK8lgzTq/TgkBFGjMEzRhiUTrlQLXgirrUIC5DOWijqvm9f/PIYhmF6naK9HwIfZSB2OBXVM+6zsqOtXqpyEOt9GCOcKk/6vXuBxx+fw8UX++VfZdgLYoI9ICuaTm8ulXdX8byT7FzhCS7PR0jMaa9b+U3X1+vXzcQnpM1QzgndtJDxpxsELzHfoKyyfNNS7mGM0CzbMrlnnz2B738/rJ9QrjlNsxDlXvV8sBLCqKzI5kCZZ1EWJgVAHghtu4XHim+2rcZ1+HCcMhiGYVYSeQSuPOfmCYvq9ERzHT51CtnF3eb1ECFRPoQoc/v3A7t2eRbEdDkLKG7Hct4JvTKYBi11UPIV6CkeCN9dwlVrlG2fDMHdd8e1YIp6HDwIXHFFs3y24ofjiuvne8vEIMQrWfTckKquXlRFqiL0A9VVRvIsiOBbFpCV953vJI6NHP3yfcMbwj0dVVvtimFCqMiQEhefjfVU5cB3jXSKchGy662vBaWIl0OaAtPT8fNlGIbpVnw2Wu00McNeqjTZvAzFSL5en3krFLp1b4+8cBiWygKKm6vBHpDSoDRqk7cj72pVvqgeDXnvjEbDvdKUDrH6lJyXuss4ZY8O1eMhoFpY2DLjD98jpkjk9uVqa+rcECCeV6RTXpAiluItiqIMSTHzrZpXpIhl9l3KBVX5ENEMIatD+tBN7xBWQhhBVzcDH0+HQH4Ryed3ukMIr4dvrKkuH0A/QFK8O889l698hmGYlUxZK15VgSp5RQShComPUkGl0eA5lIyNlb0K1qrFxcVFV6IDBw5g7dq1eMlLptHXN1JGvawUoXjs3g3s378qf+UYhmEqTojFNOb8kLI9ITE9ILb3T6cmncfIv9GYxIMPbsIZZ0yjVgt/z1dJGYmNTvnIO5/DhyI9HT55f+Yz+caC0DaysHAAP//5WkxPT2NkpPOyaChCpgauBzBUUCmzAD5S6XvVdUOFreH6KB7q9/37D+SrGMMwTA/DoRPF0iv3t4pekRiYPB95oxaYlczK9oBUfojI6+1Q85BDlERcZjfFTzIMw+QlZKd1sT/BHXfYVwOiUNQmckXTzUJ12QpOjH1Fqny/p6bC5mtSYbmE6XUq1719BhzXEro6j4esdDz8cEAFGYZhegQfIUekVTdKu+OO1nCMopZIDVVSypqAXmVhWdBtXpYyvClnn61XIuRNB0U9zjuvNzcJZDoF7wPScXwHF5viYQuzYlcpwzBMsRS1SlKMna7zUNTcD5kyFIRuDJEqos5pmnkxKOWqnxmGyU/Hh6CilQ91+Tt2azIMw/hjCtuyeUSogqPP8r+dWM63m4T1XiZUQQvxYJg8Iwzwzndm9yZkMjr3JRmeA1J+oTnCrADaHA+GYRimGtgUEZNl2SZslqWE9PL7pBs9IUCYEjI15fZ2MMXTbW2NKZZSl+HNq3gAbuXDtOEPez4YhmHiYxpb1bkhQLu35POfT5Y3a2s0gPe8x28jRIoSEjoHpOwNaovIy6e8WMvwFg3Fi/Gd7ySlLo9bJGXLLjHKM3lG8rbt3luG99+j2GV4/+9K36voQ11oAwtROPKUxzAMw1SDWs08lpflCVlJGwh2I0JRpdBoAHv3FlsfhmHyEWXozDsA+4ZZ6b6z54NhGKY6qN4OHZQwINfyv3mVEFYgOoPwZHznO0nL9xiY5AGmHMQcER06z+jKheeA+J8UYcAODbHS/TYzk78+DMMwTGegWrZjrhIVI59eUF46sTSv+rx5hUqGWXl4DTv9/XHc3Xk9HrrNBAXs8WAYhukuKN4SkUY3J6QTK2MxZny8Gby3xsrC1NdXpmdkAcV5KngfEAD2F0OI4iE4eDBfvRiGYZjuwsdib5qA3guei6rC+2UwRVCr0TYsZbqHQofhWIqH+D4zA0xOAu97X3M3c3Z4MAzDdCcUzwdTLDGUsW7xYugiJKoeNSHXr+p1zYM8FqjeEDYY9CZ9RWRqC9UaGGjfPFD1cpi+T00B+/f/PHp9GYZhmO5BZ2WnWkerNIekF2CPB1Mkvd3PFgr+K4Y3v/nNePGLX4x6vY4TTjgBV199NZ566invfKI+WlcMbsgGgjzPg2EYpjp0avz95CcT63K9FHpbmOkMVVRAfNqoSNupdq2Wa6tHp+taFvLKd0z1OPfcc/GHf/iHOOGEE/CLX/wCv//7v4/LLrsMf/u3f+uVT5ThOI/ioX5Xf+PVMRiGYZh6vdM1aMKKTBN+RzNF0fv9rDuX4d2xY8fy55e85CV4//vfj7e85S2Ym5vDgMfOr7kfr888D8CsbMhL6l56Ke/pwTAMUwU6Pe7+2Z9lng9fBSR0B3QXvS4UiQ3/eC+NVsqai9GN81SK4qqrWtvg//yfOwwpGRMHDhxo+T40NIShoXi7rz///PP4/Oc/j9e+9rVeygcArFpcXFx0JRLbxqud4POfT9DfD1xxhXuguuuu9k2keDNBhmGY6lKlsZcyMVU2iLk876EUqYB0QrkRZTYak3jwwU2VeuahVCWcKlbaMqlqvQTj4+OYnp7GyMhIp6sSjJCpgasBDBZUyhEAn2s7miRJlGf8B3/wB/jYxz6GF154AaeffjruueceHHvssV555J6EHjLxTzfRfHIyb00YhmGYlYpN+YhB3vknVaTXrodhmFaefPJJTE9PL//dcMMN2nTj4+NYtWqV9e+hhx5aTn/99dfj4Ycfxre+9S309/fjd37nd0DwZ7SQa/hR3WM2Lr7YnbbqmjfDMAzD9AppCrzhDdm7udFo4MEHO1yhnHRahlgpk8SZWBQ/B2RkZITkLXrve9+LK664wppm8+bNy5/Xr1+P9evX45d+6Zdw8sknY9OmTXjggQdwxhlnkGvI9g+GYRim8vhsQBiTssos+9pqtWquYMUwTPkIhSIE4fmYnZ31Oo8VEIZhmBUOW2xXBsLbwRQL9yeGRvetgvWjH/0IP/rRj3DmmWdi3bp1+NnPfoY//uM/xoknnujl/QAK2oiQYRiGYbqdXpojwd4OhmHysnr1avyv//W/cN555+HlL385fvd3fxfbtm3D97//fe/VtXpoeGUYhmF6lXe+s9zNyXpB+QjxePhsjMcwTB4WUJwHpJid0E899VR897vfjZIXe0AYhmGYrsa1GW7VlYki6scbBDIMU2U6PiyzdYVhGIah8ra36a36d94ZzzNSpsISUlaZGwXyyk4ri7I2XGSAzEtRjKeiuHzjwR4QhmEYhlmi6soHABw8GLceDMMwZdNxDwjDMAzD5OWKKzKPwF13lTNHJBSb0lGmZ8OXbtjlm+evxIXvZ9HMozg/QFFzS+LBCgjDMAzTs/h4GYryflR9DgrDMEzZlD4ssgbNMAzDFMWll5o9CHffbfaOxFQSfPLav7/pvSka23yOm2++OXo5sdMyncX0rPgZhsIeEIZhGIZZscRQPnzzEDuRT0/nL5thGKbbKFwBYc2YYRiGqQIXX9zqabB5RKhQFI+idyD3fc9W6b3MVvXuh1dKC4U9IFHhBsgwDNNdrFQBQlVIAOBrX6MrJaryUbSiAay8Z8R0D7a2ye2WUeEQLIZhGIbxgCeVMwyTn5W9D0i0YZS1W4ZhmN5jpS3FaVoGV3hGxNyNmMvl9vo9DcHkleON8rqTlepltZN2ad5xYDsOwzAMwxAQno99+zpbD4ZhupfBwUGMjY1h795vF1rO2NgYBgcHCy0jD6sWFxcXXYkOHDiAtWvX8mQxhmGYFQCP6XHg+8gwekL7xvj4OKanpzEyMhK3QiXTaDRw5MiRQssYHBxEvV4vtIw8sAeEYRiGYRiGYUqiXq9XWjkoAy8PCMMwDLNyYAt+Pvj+MUx8esEDwhS3ADHDMAzDMAzDMEwbHILFMAzDaBkfH1+xVnzXda/U+8IwDBMD9oAwDMMwDMMwDFMaPAeEYRiGyU2veAR65ToYplfhOSC9AXtAGIZhGIZhGIYpDVZAGIZhmNys5PkiDMMwjB+sgDAMwzAMwzAMUxq8ChbDMAyzomBPDcMwTGdhBYRhGIbpGlh5YBiG6X44BIthGIZhGIZhmNLgZXgZhmGY6FA8FezNYBjGF16GtzdgDwjDMAzDMAzDMKXBHhCGYRiGYRimK2APSG/AHhCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqDFRCGYRiGYRiGYUqjRkm0uLi49Ok7AIaLqw3DBLMXwMXgNspUF26jTJXh9slUnRkA50kyKdPNrFokPMnJyUls2rSpjPowDMMwDMMwjJYnn3wSGzdu7HQ1mJyQFJCFhQU89dRTOProo7Fq1aoy6sUwXszPz2P37t3YsmUL+vv7O10dhmmD2yhTZbh9MlVncXERBw8exIYNG9DXxzMIuh2SAsIwDMMwDMMwDBMDViEZhmEYhmEYhikNVkAYhmEYhmEYhikNVkAYhmEYhmEYhikNVkAYhmEYhmEYhikNVkAYhmEYhmEYhikNVkAYhmEYhmEYhikNVkAYhmEYhmEYhimN/x9om58kGJRlvQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1000x876.667 with 17 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# load land mask (a boolean array) from grid parameters\n",
    "land_mask = ~ds_grid.maskC\n",
    "\n",
    "# surface land mask\n",
    "land_mask_surf = land_mask.isel(k=0)\n",
    "\n",
    "# mask out areas where sea pressure never reaches the reference pressure\n",
    "too_shallow_mask = (press_ref_k_u.isel(k_u=-1) < p_r)\n",
    "\n",
    "# steric height anomaly global mean, excluding masked areas\n",
    "unmasked = (~land_mask_surf)*(~too_shallow_mask)\n",
    "steric_hgt_globmean = np.sum(unmasked*ds_grid.rA*steric_hgt_anom)\\\n",
    "                        /np.sum(unmasked*ds_grid.rA)\n",
    "steric_hgt_minus_globmean = steric_hgt_anom - steric_hgt_globmean\n",
    "\n",
    "\n",
    "# function to plot a mask in ECCO tiles plots\n",
    "def plot_mask_ecco_tiles(mask,color):\n",
    "    \"\"\"\n",
    "    Plot mask in global ECCO tiles plot on current axes, \n",
    "    given 2-D mask (xarray DataArray) and color (a string, RGB tuple or 3-element NumPy array).\n",
    "    \"\"\"\n",
    "    # loop through tiles to add mask\n",
    "    tile_order = np.array([-1,-1,-1,6, \\\n",
    "                             2,5,7,10,  \\\n",
    "                             1,4,8,11, \\\n",
    "                             0,3,9,12])\n",
    "    for idx,curr_ax in enumerate(curr_fig.get_axes()):\n",
    "        if len(curr_ax.get_images()) > 0:\n",
    "            # plot land mask\n",
    "            array_plot = mask.isel(tile=tile_order[idx]).squeeze()\n",
    "            if tile_order[idx] == 6:\n",
    "                array_plot = np.rot90(array_plot,2)\n",
    "            elif tile_order[idx] > 6:\n",
    "                array_plot = np.rot90(array_plot)\n",
    "            plot_mask(array_plot,ax=curr_ax,color=color)\n",
    "\n",
    "# 13 tiles map\n",
    "curr_obj = ecco.plot_tiles(steric_hgt_minus_globmean.squeeze(),\\\n",
    "                            cmap='seismic',show_colorbar=True,fig_size=10,\\\n",
    "                            layout='latlon',rotate_to_latlon=True,\\\n",
    "                            show_tile_labels=False,\\\n",
    "                            Arctic_cap_tile_location=10)\n",
    "curr_fig = curr_obj[0]\n",
    "plot_mask_ecco_tiles(too_shallow_mask,np.array([0.5,0.5,0.5]))    # plot too-shallow mask\n",
    "plot_mask_ecco_tiles(land_mask_surf,np.zeros(3,))    # plot land mask\n",
    "\n",
    "# add title\n",
    "curr_fig.suptitle('Steric height minus global mean [m] at ' + str(int(p_top_sea_dbar)) + ' dbar,\\n'\\\n",
    "                 + 'relative to ' + str(int(p_r_sea_dbar)) + ' dbar')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9fe184e1",
   "metadata": {},
   "source": [
    "## Compare steric height with sea surface height\n",
    "\n",
    "Of the 4 data variables in the SSH dataset, 3 are forms of sea surface height, just with different corrections applied. The ```SSH``` variable is the dynamic sea surface height anomaly. Importantly, it includes the correction for global mean steric effects, often called the Greatbatch correction; this is essential for tracking steric impacts on sea level over time. The inverted barometer (IB) correction is for the effect of atmospheric pressure on sea level; here we will use the ```SSH``` variable which has the IB correction, and best reflects changes in sea level due to ocean mass and density."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "308726c9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x876.667 with 17 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x876.667 with 17 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# remove global mean from SSH\n",
    "SSH_globmean = np.sum((ds_grid.maskC.isel(k=0))*(ds_grid.rA)*ds_SSH.SSH)\\\n",
    "                    /np.sum((ds_grid.maskC.isel(k=0))*(ds_grid.rA))\n",
    "SSH_minus_globmean = ds_SSH.SSH - SSH_globmean\n",
    "\n",
    "\n",
    "# plot steric height and SSH minus respective global means\n",
    "\n",
    "fig = plt.figure(constrained_layout=True)\n",
    "\n",
    "subfigs = fig.subfigures(2,1)\n",
    "\n",
    "curr_fig = subfigs[0]\n",
    "# 13 tiles map\n",
    "curr_obj = ecco.plot_tiles(steric_hgt_minus_globmean.squeeze(),\\\n",
    "                            cmap='seismic',show_colorbar=True,fig_size=10,\\\n",
    "                            layout='latlon',rotate_to_latlon=True,\\\n",
    "                            show_tile_labels=False,\\\n",
    "                            Arctic_cap_tile_location=10,\\\n",
    "                            cmin=-2.,cmax=2.)\n",
    "curr_fig = curr_obj[0]\n",
    "plot_mask_ecco_tiles(land_mask_surf,np.zeros(3,))    # plot land mask\n",
    "plot_mask_ecco_tiles(too_shallow_mask,np.array([0.5,0.5,0.5]))    # plot too-shallow mask\n",
    "curr_fig.suptitle('Steric height minus global mean [m] at ' + str(int(p_top_sea_dbar)) + ' dbar,\\n'\\\n",
    "                 + 'relative to ' + str(int(p_r_sea_dbar)) + ' dbar')\n",
    "\n",
    "curr_fig = subfigs[1]\n",
    "# 13 tiles map\n",
    "curr_obj = ecco.plot_tiles(SSH_minus_globmean.squeeze(),\\\n",
    "                            cmap='seismic',show_colorbar=True,fig_size=10,\\\n",
    "                            layout='latlon',rotate_to_latlon=True,\\\n",
    "                            show_tile_labels=False,\\\n",
    "                            Arctic_cap_tile_location=10,\\\n",
    "                            cmin=-2.,cmax=2.)\n",
    "curr_fig = curr_obj[0]\n",
    "plot_mask_ecco_tiles(too_shallow_mask,np.array([0.5,0.5,0.5]))    # plot too-shallow mask\n",
    "plot_mask_ecco_tiles(land_mask_surf,np.zeros(3,))    # plot land mask\n",
    "curr_fig.suptitle('Sea surface height minus global mean [m],\\n' + \\\n",
    "                    'with bathymetry shallower than ' + str(int(p_r_sea_dbar)) + ' dbar masked')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27e87976",
   "metadata": {},
   "source": [
    "Notice how similar these maps are, even though steric height is only one of the two primary components of sea level variation, and that the steric height map only includes the effect of density variations above 2000 dbar. A little more insight can be gained by taking the difference between the maps above to look at the non-steric height variation:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "3c6eed89",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x876.667 with 17 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nonsteric_hgt_minus_globmean = SSH_minus_globmean - steric_hgt_minus_globmean\n",
    "\n",
    "# 13 tiles map\n",
    "curr_obj = ecco.plot_tiles(nonsteric_hgt_minus_globmean.squeeze(),\\\n",
    "                            cmap='seismic',show_colorbar=True,fig_size=10,\\\n",
    "                            layout='latlon',rotate_to_latlon=True,\\\n",
    "                            show_tile_labels=False,\\\n",
    "                            Arctic_cap_tile_location=10,\\\n",
    "                            cmin=-2.,cmax=2.)\n",
    "curr_fig = curr_obj[0]\n",
    "plot_mask_ecco_tiles(land_mask_surf,np.zeros(3,))    # plot land mask\n",
    "plot_mask_ecco_tiles(too_shallow_mask,np.array([0.5,0.5,0.5]))    # plot too-shallow mask\n",
    "curr_fig.suptitle('Non-steric height minus global mean [m],\\n' + \\\n",
    "                  'with bathymetry shallower than ' + str(int(p_r_sea_dbar)) + ' dbar masked')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4d3d9d8",
   "metadata": {},
   "source": [
    "The map above implies that non-steric effects (or steric effects deeper than 2000 dbar) on the regional variation of sea level are relatively small, with a few notable exceptions. For example, south of the Antarctic Circumpolar Current (ACC), SSH is much lower than might be expected from 0-2000 dbar steric height anomalies, suggesting that either (a) deep ocean steric anomalies must explain the discrepancy, or (b) a gradient in vertically-integrated ocean mass (i.e. deep ocean pressure) is sustained across the ACC. Which explanation do you think it is, and how might we test that hypothesis?\n",
    "\n",
    "## Thermosteric and halosteric contributions\n",
    "\n",
    "### Definitions and methods\n",
    "\n",
    "In the [Jackett and McDougall (1995)](https://doi.org/10.1175/1520-0426(1995)012%3C0381:MAOHPT%3E2.0.CO;2) equation of state of seawater, density is a function of three parameters: salinity, potential temperature, and pressure. The pressure contribution is almost entirely a function of depth and is negligible when considering horizontal variations in density. Since density variations are a major influence on the ocean circulation and sea level, as we have seen in this tutorial, oceanographers are interested in the distinct contributions that temperature and salinity make to density. These contributions are called the *thermosteric* and *halosteric* contributions respectively.\n",
    "\n",
    "For small variations in temperature $T$ or salinity $S$, the relative contributions of each can be expressed as a linear approximation (e.g., Gill and Niiler 1973):\n",
    "\n",
    "$$\n",
    "{\\Delta}\\rho = \\frac{\\partial{\\rho}}{\\partial{S}}{\\Delta}S + \\frac{\\partial{\\rho}}{\\partial{T}}{\\Delta}T \\equiv \\rho\\left({\\beta}{\\Delta}S - {\\alpha}{\\Delta}T\\right)\n",
    "$$\n",
    "\n",
    "where we have defined a saline contraction coefficient $\\beta \\equiv (1/\\rho)\\partial{\\rho}/\\partial{S}$ and thermal expansion coefficient $\\alpha \\equiv -(1/\\rho)\\partial{\\rho}/\\partial{T}$ as the local derivatives of density with respect to salinity and temperature respectively. $\\alpha$ and $\\beta$ are unitless coefficients, and they can also be expressed in terms of specific volume $\\alpha = (1/{V_{sp}})\\partial{V_{sp}}/\\partial{T}$ and $\\beta = (1/{V_{sp}})\\partial{V_{sp}}/\\partial{S}$. These linear approximations are particularly useful in computing the effect of temperature and salinity on density gradients in a small area; on global scales the nonlinearity of TEOS may lead to distortions using this approximation.\n",
    "\n",
    "To illustrate this, let's compute the thermosteric and halosteric contributions in two ways. In the first method, we will compute specific volume anomaly for each component using the linear approximations $\\alpha$ and $\\beta$ around the reference specific volume $V_r$ (corresponding to a potential temperature of ${\\theta}_{r}$ = 0 deg C and salinity of $S_{r}$ = 35.16504 g/kg).\n",
    "\n",
    "$$\n",
    "{\\rm Thermosteric}\\,V_{sp}^{\\prime} = {V_r}{\\alpha_r}\\left(\\theta - \\theta_{r}\\right)\n",
    "$$\n",
    "\n",
    "$$\n",
    "{\\rm Halosteric}\\,V_{sp}^{\\prime} = -{V_r}{\\beta_r}\\left(S - S_{r}\\right)\n",
    "$$\n",
    "\n",
    "where the subscript $_r$ indicates values computed at the reference $\\theta_{r}$ and $S_{r}$.\n",
    "\n",
    "In the second method, we will compute specific volume anomalies at each location while substituting in $S_{r} \\rightarrow S$ when computing the thermosteric contribution and $\\theta_{r} \\rightarrow \\theta$ when computing the halosteric contribution. In this way the specific volume anomaly is associated only with a difference in temperature or salinity respectively.\n",
    "\n",
    "$$\n",
    "{\\rm Thermosteric}\\,V_{sp}^{\\prime} = V_{sp}\\left\\{S_{r},\\theta_{r},p\\right\\} - V_{sp}\\left\\{S_{r},\\theta_{r},p\\right\\}\n",
    "$$\n",
    "\n",
    "$$\n",
    "{\\rm Halosteric}\\,V_{sp}^{\\prime} = V_{sp}\\left\\{S,\\theta_{r},p\\right\\} - V_{sp}\\left\\{S_{r},\\theta_{r},p\\right\\}\n",
    "$$\n",
    "\n",
    "The difference between these two methods gives a sense of the impact of the nonlinearity of the equation of state on the steric height anomaly.\n",
    "\n",
    "> Note: Defining **salinity** and **temperature**\n",
    "\n",
    "> If you have used the newer [TEOS-10 thermodynamic equation of seawater](https://www.teos-10.org/), you may know that density is computed using *absolute* salinity and *conservative* temperature. What are these quantities? TEOS-10 takes into account the different composition of seawater solutes (\"salts\", but also other dissolved substances such as carbonates, silicates, nitrates) in different parts of the global oceans. These solutes have different impacts on electrical conductivity (the quantity typically observed as a proxy for salinity) vs. their impacts on seawater density. *Practical* salinity represents the salinity as observed using electrical conductivity (and assuming a \"typical\" seawater salt composition), while *absolute* salinity represents the contribution of seawater salts to density. Correspondingly, *potential* temperature is a temperature metric that remains adiabatic (unchanged absent heating/cooling) for a water parcel as its pressure changes. *Conservative* temperature is adiabatic to pressure changes **and** also is thermodynamically stable to the mixing of water parcels. JMD95 does not account for the composition of seawater solutes or the thermodynamic effects of mixing, so it is sufficient to use *potential* temperature and the model's salinity, which is equivalent to the TEOS-10 *absolute* salinity for most ocean modeling purposes."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "834033a2",
   "metadata": {},
   "source": [
    "### Method 1: Using expansion/contraction coefficients\n",
    "\n",
    "Now we will compute the thermosteric and halosteric contributions to steric height anomaly using the thermal expansion coefficient $\\alpha$ and the saline contraction coefficient $\\beta$, as linearized around the reference $\\theta_{r}$ and $S_{r}$. We can estimate these contributions by estimating the sensitivity of density to small changes in $\\theta$ and $S$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "1074f044",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 600x526 with 17 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x526 with 17 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# thermal expansion coefficient alpha at theta_r, S_r\n",
    "d_theta = 1.e-3\n",
    "d_specvol = (1/densjmd95(S_r,theta_r + (0.5*d_theta),(1.e-4)*press_ref))\\\n",
    "            - (1/densjmd95(S_r,theta_r - (0.5*d_theta),(1.e-4)*press_ref))\n",
    "# restore dimension to d_rho (it was removed in the densjmd95 function)\n",
    "d_specvol = xr.DataArray(d_specvol,dims=['k'])\n",
    "\n",
    "alpha = (d_specvol/specvol_standard)/d_theta\n",
    "\n",
    "# saline contraction coefficient beta at T_Cr, S_Ar\n",
    "d_S = 1.e-3\n",
    "d_specvol = (1/densjmd95(S_r + (0.5*d_S),theta_r,(1.e-4)*press_ref))\\\n",
    "            - (1/densjmd95(S_r - (0.5*d_S),theta_r,(1.e-4)*press_ref))\n",
    "# restore dimension to d_rho (it was removed in the densjmd95 function)\n",
    "d_specvol = xr.DataArray(d_specvol,dims=['k'])\n",
    "\n",
    "beta = -(d_specvol/specvol_standard)/d_S\n",
    "\n",
    "\n",
    "# thermosteric and halosteric specific volume anomalies\n",
    "specvol_thermo_anom_linear = specvol_standard*alpha*(ds_TS.THETA - theta_r)\n",
    "specvol_halo_anom_linear = -specvol_standard*beta*(ds_TS.SALT - S_r)\n",
    "\n",
    "# integrate vertically to obtain height anomalies\n",
    "thermosteric_hgt_anom_linear = (-(specvol_thermo_anom_linear/g)*dp_integrate).sum(\"k\")\n",
    "halosteric_hgt_anom_linear = (-(specvol_halo_anom_linear/g)*dp_integrate).sum(\"k\")\n",
    "\n",
    "\n",
    "# contribution global means, excluding masked areas\n",
    "thermosteric_hgt_linear_globmean = np.sum(unmasked*ds_grid.rA*thermosteric_hgt_anom_linear)\\\n",
    "                                            /np.sum(unmasked*ds_grid.rA)\n",
    "halosteric_hgt_linear_globmean = np.sum(unmasked*ds_grid.rA*halosteric_hgt_anom_linear)\\\n",
    "                                            /np.sum(unmasked*ds_grid.rA)\n",
    "\n",
    "# subtract global means\n",
    "thermosteric_hgt_minus_globmean_linear = thermosteric_hgt_anom_linear \\\n",
    "                                        - thermosteric_hgt_linear_globmean\n",
    "halosteric_hgt_minus_globmean_linear = halosteric_hgt_anom_linear \\\n",
    "                                        - halosteric_hgt_linear_globmean\n",
    "\n",
    "# sum of two contributions\n",
    "contribsum_hgt_minus_globmean_linear = thermosteric_hgt_minus_globmean_linear + \\\n",
    "                                    halosteric_hgt_minus_globmean_linear\n",
    "\n",
    "\n",
    "# plot thermosteric and halosteric contributions (linear approximations),\n",
    "# plus their sum and the full steric height anomaly\n",
    "\n",
    "fig = plt.figure(constrained_layout=True)\n",
    "\n",
    "subfigs = fig.subfigures(2,1)\n",
    "\n",
    "curr_fig = subfigs[0]\n",
    "# 13 tiles map\n",
    "curr_obj = ecco.plot_tiles(thermosteric_hgt_minus_globmean_linear.squeeze(),\\\n",
    "                            cmap='seismic',show_colorbar=True,fig_size=6,\\\n",
    "                            layout='latlon',rotate_to_latlon=True,\\\n",
    "                            show_tile_labels=False,\\\n",
    "                            Arctic_cap_tile_location=10,\\\n",
    "                            cmin=-2.,cmax=2.)\n",
    "curr_fig = curr_obj[0]\n",
    "plot_mask_ecco_tiles(land_mask_surf,np.zeros(3,))    # plot land mask\n",
    "plot_mask_ecco_tiles(too_shallow_mask,np.array([0.5,0.5,0.5]))    # plot too-shallow mask\n",
    "curr_fig.suptitle('Thermosteric height minus global mean [m] at ' + str(int(p_top_sea_dbar)) + ' dbar,\\n'\\\n",
    "                 + 'relative to ' + str(int(p_r_sea_dbar)) + ' dbar (computed using $\\\\alpha$)')\n",
    "\n",
    "curr_fig = subfigs[1]\n",
    "# 13 tiles map\n",
    "curr_obj = ecco.plot_tiles(halosteric_hgt_minus_globmean_linear.squeeze(),\\\n",
    "                            cmap='seismic',show_colorbar=True,fig_size=6,\\\n",
    "                            layout='latlon',rotate_to_latlon=True,\\\n",
    "                            show_tile_labels=False,\\\n",
    "                            Arctic_cap_tile_location=10,\\\n",
    "                            cmin=-2.,cmax=2.)\n",
    "curr_fig = curr_obj[0]\n",
    "plot_mask_ecco_tiles(land_mask_surf,np.zeros(3,))    # plot land mask\n",
    "plot_mask_ecco_tiles(too_shallow_mask,np.array([0.5,0.5,0.5]))    # plot too-shallow mask\n",
    "curr_fig.suptitle('Halosteric height minus global mean [m] at ' + str(int(p_top_sea_dbar)) + ' dbar,\\n'\\\n",
    "                 + 'relative to ' + str(int(p_r_sea_dbar)) + ' dbar (computed using $\\\\beta$)')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "fc889180",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x526 with 17 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x526 with 17 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot sum of contributions vs. full steric height anomaly\n",
    "\n",
    "fig = plt.figure(constrained_layout=True)\n",
    "\n",
    "subfigs = fig.subfigures(2,1)\n",
    "\n",
    "curr_fig = subfigs[0]\n",
    "# 13 tiles map\n",
    "curr_obj = ecco.plot_tiles(contribsum_hgt_minus_globmean_linear.squeeze(),\\\n",
    "                            cmap='seismic',show_colorbar=True,fig_size=6,\\\n",
    "                            layout='latlon',rotate_to_latlon=True,\\\n",
    "                            show_tile_labels=False,\\\n",
    "                            Arctic_cap_tile_location=10,\\\n",
    "                            cmin=-2.,cmax=2.)\n",
    "curr_fig = curr_obj[0]\n",
    "plot_mask_ecco_tiles(land_mask_surf,np.zeros(3,))    # plot land mask\n",
    "plot_mask_ecco_tiles(too_shallow_mask,np.array([0.5,0.5,0.5]))    # plot too-shallow mask\n",
    "curr_fig.suptitle('Sum of linearized thermo+halo contributions [m] at ' + str(int(p_top_sea_dbar)) + ' dbar,\\n'\\\n",
    "                 + 'relative to ' + str(int(p_r_sea_dbar)) + ' dbar')\n",
    "\n",
    "curr_fig = subfigs[1]\n",
    "# 13 tiles map\n",
    "curr_obj = ecco.plot_tiles(steric_hgt_minus_globmean.squeeze(),\\\n",
    "                            cmap='seismic',show_colorbar=True,fig_size=6,\\\n",
    "                            layout='latlon',rotate_to_latlon=True,\\\n",
    "                            show_tile_labels=False,\\\n",
    "                            Arctic_cap_tile_location=10,\\\n",
    "                            cmin=-2.,cmax=2.)\n",
    "curr_fig = curr_obj[0]\n",
    "plot_mask_ecco_tiles(land_mask_surf,np.zeros(3,))    # plot land mask\n",
    "plot_mask_ecco_tiles(too_shallow_mask,np.array([0.5,0.5,0.5]))    # plot too-shallow mask\n",
    "curr_fig.suptitle('Steric height minus global mean [m] at ' + str(int(p_top_sea_dbar)) + ' dbar,\\n'\\\n",
    "                 + 'relative to ' + str(int(p_r_sea_dbar)) + ' dbar')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08c34108",
   "metadata": {},
   "source": [
    "The first two maps show a thermosteric contribution that is largely latitude-dependent (no surprise), and a halosteric contribution that is very different in the Pacific (a fresher ocean) vs. the Atlantic and Indian oceans (more salty).\n",
    "\n",
    "These patterns together help explain the full steric height variation in the last map above, though the sum of the two contributions obviously does not explain all of the full steric height variation.\n",
    "\n",
    "### Method 2: Using specific volume differences\n",
    "\n",
    "Now let's compute the thermosteric and halosteric contributions again, using the second method ($V_{sp}$ differences associated with temperature or salinity variations). This should account for at least some of the nonlinear aspects of TEOS."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "9b8ae865",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x526 with 17 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x526 with 17 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# compute specific volume anomalies due to temperature and salinity variations\n",
    "press_ref_expanded = (press_ref*xr.ones_like(ds_TS.THETA)).transpose('time','k','tile','j','i')\n",
    "specvol_thermo = 1/densjmd95(S_r,ds_TS.THETA,(1.e-4)*press_ref_expanded)\n",
    "specvol_thermo = xr.DataArray(specvol_thermo,dims=['time','k','tile','j','i'])\n",
    "specvol_thermo_anom = specvol_thermo - specvol_standard\n",
    "specvol_halo = 1/densjmd95(ds_TS.SALT,theta_r,(1.e-4)*press_ref_expanded)\n",
    "specvol_halo = xr.DataArray(specvol_halo,dims=['time','k','tile','j','i'])\n",
    "specvol_halo_anom = specvol_halo - specvol_standard\n",
    "\n",
    "# integrate vertically to obtain height anomalies\n",
    "thermosteric_hgt_anom = (-(specvol_thermo_anom/g)*dp_integrate).sum(\"k\")\n",
    "halosteric_hgt_anom = (-(specvol_halo_anom/g)*dp_integrate).sum(\"k\")\n",
    "\n",
    "\n",
    "# contribution global means, excluding masked areas\n",
    "thermosteric_hgt_globmean = np.sum(unmasked*ds_grid.rA*thermosteric_hgt_anom)\\\n",
    "                                            /np.sum(unmasked*ds_grid.rA)\n",
    "halosteric_hgt_globmean = np.sum(unmasked*ds_grid.rA*halosteric_hgt_anom)\\\n",
    "                                            /np.sum(unmasked*ds_grid.rA)\n",
    "\n",
    "# subtract global means\n",
    "thermosteric_hgt_minus_globmean = thermosteric_hgt_anom \\\n",
    "                                        - thermosteric_hgt_globmean\n",
    "halosteric_hgt_minus_globmean = halosteric_hgt_anom \\\n",
    "                                        - halosteric_hgt_globmean\n",
    "\n",
    "# sum of two contributions\n",
    "contribsum_hgt_minus_globmean = thermosteric_hgt_minus_globmean + \\\n",
    "                                    halosteric_hgt_minus_globmean\n",
    "\n",
    "\n",
    "# plot thermosteric and halosteric contributions (linear approximations),\n",
    "# plus their sum and the full steric height anomaly\n",
    "\n",
    "fig = plt.figure(constrained_layout=True)\n",
    "\n",
    "subfigs = fig.subfigures(2,1)\n",
    "\n",
    "curr_fig = subfigs[0]\n",
    "# 13 tiles map\n",
    "curr_obj = ecco.plot_tiles(thermosteric_hgt_minus_globmean.squeeze(),\\\n",
    "                            cmap='seismic',show_colorbar=True,fig_size=6,\\\n",
    "                            layout='latlon',rotate_to_latlon=True,\\\n",
    "                            show_tile_labels=False,\\\n",
    "                            Arctic_cap_tile_location=10,\\\n",
    "                            cmin=-2.,cmax=2.)\n",
    "curr_fig = curr_obj[0]\n",
    "plot_mask_ecco_tiles(land_mask_surf,np.zeros(3,))    # plot land mask\n",
    "plot_mask_ecco_tiles(too_shallow_mask,np.array([0.5,0.5,0.5]))    # plot too-shallow mask\n",
    "curr_fig.suptitle('Thermosteric height minus global mean [m] at ' + str(int(p_top_sea_dbar)) + ' dbar,\\n'\\\n",
    "                 + 'relative to ' + str(int(p_r_sea_dbar)) + ' dbar')\n",
    "\n",
    "curr_fig = subfigs[1]\n",
    "# 13 tiles map\n",
    "curr_obj = ecco.plot_tiles(halosteric_hgt_minus_globmean.squeeze(),\\\n",
    "                            cmap='seismic',show_colorbar=True,fig_size=6,\\\n",
    "                            layout='latlon',rotate_to_latlon=True,\\\n",
    "                            show_tile_labels=False,\\\n",
    "                            Arctic_cap_tile_location=10,\\\n",
    "                            cmin=-2.,cmax=2.)\n",
    "curr_fig = curr_obj[0]\n",
    "plot_mask_ecco_tiles(land_mask_surf,np.zeros(3,))    # plot land mask\n",
    "plot_mask_ecco_tiles(too_shallow_mask,np.array([0.5,0.5,0.5]))    # plot too-shallow mask\n",
    "curr_fig.suptitle('Halosteric height minus global mean [m] at ' + str(int(p_top_sea_dbar)) + ' dbar,\\n'\\\n",
    "                 + 'relative to ' + str(int(p_r_sea_dbar)) + ' dbar')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e306a8a",
   "metadata": {},
   "source": [
    "And now let's compare the sum of the contributions with the full steric height anomaly again."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "e71aa2ee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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7BgDIyMiAz+czhaWmpkbcLxJO37OSkhLhvSHHCV999ZUpzosvvohFixbho48+MoV37NgxIj/2fqSlpQFA+H6UlZWhf//+8Pl8eOihh9C5c2dkZGSE+7mthEAsz/jgwYOorq5Gu3bthHHIOZzeJ8D+ep0get4i8vLyTPterxctWrSIKFu8KSkpgdfrjVCiPB4P8vLybO8NYP42AOCZZ55Bu3bt8M477+Cxxx6Dz+fD0KFD8fjjj+Okk06Kuqxu6hYAtvWLiJqaGgwZMgS//fYbpk2bhh49eiAzMxM1NTXo27dvTEqN6JkeOHAAQOS10JB07LsiCrOKu3HjxvD+lVdeic8++wzTpk3DmWeeiezs7HDjhHetbt9tCZ96oQTQpKSkQFEUzJw5M+xpD+gfOM/xo7YrJ8CocPbu3RtR0f/222/Izc2t9TLwaNasGZKTkzFu3DjcfPPN3DisMK0N79kWLVpg7969EeHEaY++P0TZIyxatAipqakR4dGwfPly/Pbbb1i5cmW49Q/A0bCpWJ5x8+bNkZycbOtA6OY+xQu3z7uoqMjUyg0GgygpKTEJ3dr4Flu0aIFgMIjff//dpAhomoaioiKceeaZrvPMzMyE3++H3+/Hvn37wlaBkSNHYvPmzVGXta74/vvvsXHjRsybNw/XXHNNOHzr1q0x592jRw989913EeEk7JRTThGmJe9CUVFRxLGioiLu/A+iuCSv0tJSLFq0CIqi4N577w3HqaioCCsmLHIkQHxIaHcAr0IEDDMXaSEBulfut99+a4q3fPlylJWV1V4BQ5x//vkAgAULFpjCv/rqK/z444+44IILoso3mpYdTUZGBgYNGoT169fj1FNPDVtU6B+vxRRvLrjggrAApnn99deRkZFRZ8PRSKVA7ivh73//u23aWJ4x8XZ+9913LbuwauM+sa3fWHnjjTdM+//4xz8QDAZNE8A4/RbdvN/k/rL3/7333kN5eXnU3xihdevWGD9+PMaOHYstW7bg6NGjMeVXF7h5n93WJaNGjcLmzZtNQwGDwSAWLFiAPn36mOpelr59+8Ln80W8K1988YXQYvbWW29B07Tw/o4dO/DFF1+E3yuPxwNN0yKu9eWXX0Z1dbWja5JER0ItAUOHDkW7du0wcuRIdO3aFTU1NdiwYQOefPJJZGVl4S9/+Us47rhx4zBt2jTcf//9GDBgADZt2oTnnnsOTZs2rfVydunSBTfccAOeffZZJCUlYfjw4di+fTumTZuGgoICTJkyJap8e/ToAQB47LHHMHz4cCQnJ+PUU08NmxGd8PTTT+Pcc89F//79MXnyZBQWFuLIkSPYunUrFi5cGO5rrU0URcGiRYswaNAg3H///WjevDneeOMNLF68GDNmzKiTZwTofZLNmjXDpEmToCgKUlJS8MYbb5hMjiJifcZPPfUUzj33XPTp0wf33nsvOnXqhH379uGjjz7C3//+dzRp0qRW7lOPHj3w/vvv44UXXsAZZ5yBpKSkmKwq77//PrxeLwYPHowffvgB06ZNQ8+ePfHHP/4xHMfpt0haky+++CKaNGkCn8+Hjh07chXTwYMHY+jQobjnnntw+PBhnHPOOfj222+hKAp69eqFcePGub6WPn36YMSIETj11FPRrFkz/Pjjj5g/fz769etn6ruvr3Tt2hUnnngi7r33XmiahubNm2PhwoVYtmxZRFxSlzz99NO45pprkJKSgi5duph8imiuvfZazJ49G6NHj8ajjz6KVq1a4fnnn8eWLVssJzgDdAvknXfeiYceegjXX389Ro8ejV27dkFVVWF3wP79+zFq1ChMnDgRpaWlUBQFPp8PU6dOBQBkZ2fjvPPOw+OPP47c3FwUFhZi1apVmDt3ruWsqzw8Hg8GDBhgOURSQpFIr8R33nlHu/LKK7WTTjpJy8rK0lJSUrT27dtr48aN0zZt2mSKW1FRod19991aQUGBlp6erg0YMEDbsGGDcHTAV199ZUov8sa95pprtMzMTNuyVldXa4899pjWuXNnLSUlRcvNzdWuuuqqiCGAbrx+KyoqtOuvv15r2bKl5vF4TN69ALSbb745Ig17vZqme3tfe+21Wtu2bbWUlBStZcuW2tlnn6099NBD4TjES/fdd9+NyFN0DwYMGKB1796dW4aLLrrIFPbdd99pI0eO1Jo2baqlpqZqPXv2NHmfi3AzRJB9puSaaO/zL774QuvXr5+WkZGhtWzZUrv++uu1b775RugNT+P0GYvYtGmTNnr0aK1FixZaamqq1r59e238+PGm4W1O7pPoWfG8+g8cOKBdccUVWk5OTvgdouM+/vjjEeW0Gh3w9ddfayNHjtSysrK0Jk2aaGPHjtX27dtnSu/0W9Q0TZs1a5bWsWNHLTk52XROdnSApuke/vfcc4/WoUMHLSUlRcvPz9cmT56sHTx40BSP9/5pmv6+0p7p9957r9a7d2+tWbNmWlpamnbCCSdoU6ZM0YqLiyPS0tiNDuCdm/e9Wj0Dp/XEpk2btMGDB2tNmjTRmjVrpo0ePVrbuXMnd4TG1KlTtTZt2mhJSUnCURk0RUVF2tVXX601b95c8/l8Wt++fbVly5ZZpiHU1NRo06dP1woKCrTU1FTt1FNP1RYuXBjxDMi7PH/+fO22227TWrZsqaWlpWn9+/c3DTPWNE3bvXu3dvnll2vNmjXTmjRpog0bNkz7/vvvHdfxmqZpR44c0QBoY8aMcXQdEk3zaBplo5FIJJJGjqqq8Pv94Rk1k5OT45a3pmmorq7GAw88gAcffBC///57wnyKGiIff/wxRowYgY0bN4atIxJr6p1joEQikdQHUlJSkJmZGVe/o6effjrq7kOJPStWrMCYMWOkAuACaQmQSCQSit9++y3svJmcnGyaJyNW9u/fj507d4b3TzvttISu3SGRSCVAIpFIJJJGSkKHCEokEolEIkkcUgmQ1Dt4K8w55c0338SsWbO4x6xWdaxNHnnkEXz44YdxzfPw4cN4+OGHMXDgQOTl5SErKws9evTAY489xp2hrqqqCn6/H4WFhUhLS0PXrl2Fs0z++uuvuOyyy5CTk4OsrCwMHjwY33zzDTfu22+/jdNOOw0+nw9t2rTB7bffHlMfOllBkR7eNXDgQMvJayQSSfRIJUDSoLBSAtasWYPrr7++bguE2lECdu7ciVmzZuH000/Hiy++iI8++ghXXHEFVFXFiBEjwPby3XTTTZg+fTpuvvlmLF26FKNGjcJf/vIXPPLII6Z4v//+O/r374+ffvoJr7zyCv7xj38gEAhg4MCBpmWMAX1iobFjx+LMM8/EJ598AkVRMG/ePFx22WVxvVaJRFKLJG50oqSxQK+s5gTeGHKniFbVSySZmZkR4+djpaysTCsrK4sIJ6vJrV69Ohz2/fffax6PR3vkkUdMcSdOnKilp6drJSUl4bC77rpLS0lJ0bZv3x4OKy0t1XJzc7U//vGP4bBgMKjl5+drQ4YMMeVJVh38+OOPo7ou3twPovkq4g1vyV+JpKEjLQGSuKKqKjweD7755htcccUVaNasGU488UQA+hjp559/HqeddhrS09PRrFkzXHHFFfj1119t8509ezbOO+88tGrVCpmZmejRowdmzJiBqqqqcJyBAwdi8eLF2LFjBzweT/hHoLsDNm7cCI/Hg7lz50ac65NPPoHH4zEtavTzzz/jyiuvRKtWrZCWloZu3bph9uzZtuX2eDwoLy/Ha6+9Fi4PPQXv999/j0suuQTNmjWDz+fDaaedxl1BkSUzMxOZmZkR4WeddRYAYNeuXeGwDz/8EJqmYcKECaa4EyZMwLFjx7BkyZJw2AcffIDzzz/ftBpcdnY2LrvsMixcuBDBYBAAsHbtWuzduzciz9GjRyMrKwsffPCB7TVs3rwZw4YNQ0ZGBnJzczFp0iQcOXJEGH/16tXo27cv0tPT0bZtW0ybNi1iSlm/348+ffqgefPmyM7Oxumnn465c+dGWEYKCwsxYsQIvP/+++jVqxd8Ph/8fr9tmSWShoYcmyKpFS677DKMGTMGkyZNQnl5OQDgxhtvxLx583Dbbbfhsccew4EDB/DAAw/g7LPPxsaNG9G6dWthfr/88guuvPJKdOzYEampqdi4cSMefvhhbN68Ga+88goA4Pnnn8cNN9yAX375xVYI9ezZE7169cKrr76K6667znRs3rx5aNWqVXhp5U2bNuHss89G+/bt8eSTTyIvLw9Lly7FbbfdhuLiYiiKIjzPmjVrcP7552PQoEGYNm0aAF2oAsCWLVtw9tlno1WrVnjmmWfQokULLFiwAOPHj8e+fftw991329zlSMg00d27dw+Hff/992jZsmXElK5kaWKyUNexY8fwyy+/YNSoURH5nnrqqTh27Bh+/fVXdO7cOZyG5EFISUlB165dTYt/8di3bx8GDBiAlJQUPP/882jdujXeeOMN3HLLLdz4RUVFGDNmDO6991488MADWLx4MR566CEcPHgQzz33XDje9u3bceONN4aXGV67di1uvfVW7NmzB/fff78pz2+++QY//vgj7rvvPnTs2JGrVEkkDZ4EWyIkDQwyHer9999vCl+zZo0GQHvyySdN4bt27dLS09O1u+++Oxxm1x1QXV2tVVVVaa+//rqWnJysHThwIHzMqjsAzFSrzzzzjAZA27JlSzjswIEDWlpamvbXv/41HDZ06FCtXbt2WmlpqSm/W265RfP5fKbz8xB1B4wZM0ZLS0vTdu7caQofPny4lpGRoR06dMgyX5aNGzdq6enp2qhRo0zhgwcP1rp06cJNk5qaqt1www2apmnanj17NADa9OnTI+K9+eabGgDtiy++0DRN0x5++GENgLZ3796IuEOGDNE6d+5sWdZ77rlH83g82oYNGyLKCk53AADtX//6lynuxIkTtaSkJG3Hjh3cc5D35IEHHtBatGih1dTUhI916NBBS05ONj17iaQxIrsDJLXC5ZdfbtpftGgRPB4PrrrqKgSDwfAvLy8PPXv2tF3sY/369bj44ovRokULJCcnIyUlBVdffTWqq6vx008/RVXGP//5z0hLS8O8efPCYW+99RYqKirCZu5AIIDPPvsMo0aNQkZGhqnsF154IQKBANauXRvV+ZcvX44LLrgABQUFpvDx48fj6NGjWLNmjeO8tm/fjhEjRqCgoAAvv/xyxHGrZVfZY/GIa7fM64oVK9C9e3f07NnTFH7llVdy4zdp0gQXX3xxRNyamhr85z//CYctX74cf/jDH9C0adPwe3L//fejpKQE+/fvN6U/9dRT0blzZ8tySiQNHakESGqF/Px80/6+ffugaRpat26NlJQU02/t2rWWS/Du3LkT/fv3x549e/D0009j9erV+Oqrr8J98tEupdu8eXNcfPHFeP3118N9y/PmzcNZZ50VNqeXlJQgGAzi2WefjSg36S6wKrsVJSUlEfcJMJbQLikpcZTPjh07MGjQIHi9Xnz22Wdo3ry56XiLFi24eZWXl6OysjIcv1mzZvB4PNy4ZE13EpesBCiKy5aBpaSkhLvinGgVOl5XEYlLyvC///0PQ4YMAQC89NJL+Pzzz/HVV1/hb3/7G4DI94R37yWSxob0CZDUCmxLMDc3Fx6PB6tXr45YMxyIXDOd5sMPP0R5eTnef/99k8Pahg0bYi7nhAkT8O6772LZsmVo3749vvrqK7zwwgvh482aNUNycjLGjRuHm2++mZtHx44dozp3ixYtsHfv3ohwMmWtk4VlduzYgYEDB0LTNKxcuRLt2rWLiNOjRw+8/fbbKCoqMgnZ7777DoCx5G96ejo6deoUDqf57rvvkJ6ejhNOOCGcJwk/+eSTw/GCwSA2b96MsWPHWpa7RYsWKCoqigjnhQG6EimKSxSSt99+GykpKVi0aBF8Pl84nmh4pp21QiJpDEhLgKROIGPX9+zZg969e0f8rBb8IJU1rShomoaXXnopIm5aWpory8CQIUPQtm1bvPrqq3j11Vfh8/lMAiwjIwODBg3C+vXrceqpp3LLToSQCFGZLrjgAixfvjws9Amvv/46MjIy0LdvX8t8d+7ciYEDB6K6uhrLly83KUg0l1xyCTweT8Sog3nz5iE9PR3Dhg0Lh40aNQrLly83jS44cuQI3n//fVx88cXhee779OmD/Px8U1cKAPzzn/9EWVmZ7VwBgwYNwg8//ICNGzeawt98801u/CNHjphGa5C4SUlJOO+88wDo74nX6zWt+nfs2DHMnz/fsiwSSWNGWgIkdcI555yDG264ARMmTMC6detw3nnnITMzE3v37sV///tf9OjRA5MnT+amHTx4MFJTUzF27FjcfffdCAQCeOGFF3Dw4MGIuD169MD777+PF154AWeccQaSkpLQu3dvYbmSk5Nx9dVX46mnngoPhWvatKkpztNPP41zzz0X/fv3x+TJk1FYWIgjR45g69atWLhwYdgjX0SPHj2wcuVKLFy4EPn5+WjSpAm6dOkCRVGwaNEiDBo0CPfffz+aN2+ON954A4sXL8aMGTMiykGzf/9+DBo0CHv37sXcuXOxf/9+U593u3btwlaB7t2747rrroOiKEhOTsaZZ56JTz/9FC+++CIeeughk+n+zjvvxPz583HRRRfhgQceQFpaGh599FEEAgHTbIvJycmYMWMGxo0bhxtvvBFjx47Fzz//jLvvvhuDBw82KRY8br/9drzyyiu46KKL8NBDD4VHB2zevJkbv0WLFpg8eTJ27tyJzp074+OPP8ZLL72EyZMnh0cCXHTRRXjqqadw5ZVX4oYbbkBJSQmeeOIJSyuTRNLoSaxfoqShQUYH/P7779zjr7zyitanTx8tMzNTS09P10488UTt6quv1tatWxeOwxsdsHDhQq1nz56az+fT2rZtq911113aJ598EuFJfuDAAe2KK67QcnJyNI/Ho9GvOJjRAYSffvpJA6AB0JYtW8Yt97Zt27Rrr71Wa9u2rZaSkqK1bNlSO/vss7WHHnrI9p5s2LBBO+ecc7SMjAwNgDZgwIDwse+++04bOXKk1rRpUy01NVXr2bOn9uqrr9rmSSbVEf3Y66ysrNQURdHat2+vpaamap07d9aeeeYZbt5bt27VLr30Ui07O1vLyMjQLrjgAu3rr7/mxn3zzTe1U089VUtNTdXy8vK02267TTty5Iht+TVN0zZt2qQNHjxY8/l8WvPmzbXrrrtO+9e//iWcLGjlypVa7969tbS0NC0/P1/7v//7P62qqsqU5yuvvKJ16dJFS0tL00444QRt+vTp2ty5czUA2rZt28LxOnTooF100UWOyimRNGTkKoISiUQikTRSpE+ARCKRSCSNFKkESCQSiUTSSJFKgEQikUgkjRSpBEgkEolE0kiRSoBEIpFIJI0UqQRIJBKJRNJIkUqARCKRSCSNFKkESCQSiUTSSJFKgEQikUgkjRSpBEgkEolE0kiRSoBEIpFIJI0UqQRIJBKJRNJIkUqARCKRSCSNFKkESCQSiUTSSJFKgEQikUgkjRSpBEgkEolE0kiRSoBEIpFIJI0UqQRIJBKJRNJIkUqARCKRSCSNFKkESCQSiUTSSJFKgEQikUgkjRRvogsgkUgktUlNTQ1+++03NGnSBB6PJ9HFkQDQNA1HjhxBmzZtkJQk26KJRCoBEomkQfPbb79h7ty5iS6GhEFVVezatQvt2rVLdFEaNVIFk0gkDZomTZokuggSAfLZJB6pBEgkkgaN7AKov8hnk3ikEiCRSCQSSSNFKgESiUQikTRSpBIgkUgkEkkjRSoBEolEIpE0UqQSIJFIJBJJI0UqARKJRCKRNFKkEiCRSCQSSSNFKgESiUQikTRSpBIgkUgkEkkjRSoBEolEIpE0UqQSIJFIJBJJI0UqARKJRCKRNFKkEiCRSCQSSSNFKgESiUQikTRSvIkugEQikTQWVLVpaKuaCitLTGEkEkglQCKRSOoQIvxrEloKiYQglQCJRCKpA1Q1K7RFFIDqUHgasx+s03JJGjfSJ0AikUhqGaMboAa6sCcWgeqIn6p66r6AkkaLVAIkEomk1qnm7LOKgLEtrQGSukIqARKJRFKLRFoBaHiKQE0onVQEJLWP9AmQSCSSWkJVm8Na8NP/NRFxVLUaQDJUVVbVktpBWgIkEomk1mAVACfHI5UGaRWQ1BZSCZBIJJI6hxX0NYJwA1UNQlXl0EJJfJFKgEQikdQqdtYAN3nUhJQBaRmQxAfZ0SSRSCQJwe3EQawyIatvSexIS4BEIpHUEqpaGtqKvxlfVSugqhVxz1fSuJCqpEQikdQiqloGVc2AeRigiGQHcdj8jzL7Ga7SSxo30hIgkUgktYxZULNCnq2Gk0M/J0QqDKxSIJFYIZUAiUQiqQPcm+6dKAL8OKp6FKp6xOX5JI0R2R0gkUgkccY8SVC1g+WCSXuM9R0gQj6aEQbJUNUjUNUmUaSVNBakJUAikUjiCKsA6GEZof8gDMHOa8WLqmQrq4D1MWkRkFghlQCJRCKJE7oCIDqWFvq3G+OfBH7VbOUrYN11oFsEjkiFQBKBVAIkEokkRlS1JVS1peBoDRXPG/rXQiFWgt2tVcBZuFQEJDRSCZBIJJK4wi4M5AQrRUBkFXCTj9PRBpLGhlQCJBKJJAZUNc9FbLu+fTdWgegFu+wakBCkEiCRSCRRoqptOKF2/fNem3hurAK8uM7zlYpA7TF9+nSceeaZaNKkCVq1aoVLL70UW7ZssU23atUqnHHGGfD5fDjhhBMwZ86cWi2nHCIokUgkLlDVwtAWmQEwidqnSaaOR04bTBwEVdXDOYvV0EA2P94sg85nHiSKgBxKGF9WrVqFm2++GWeeeSaCwSD+9re/YciQIdi0aRMyMzO5abZt24YLL7wQEydOxIIFC/D555/jpptuQsuWLXH55ZfXSjk9mqZp9tEkEonk+OTw4cOYOXNmXPJS1RNDW/QUwNUwLwVczdk2LxXMThykWweshDbvGKtY8OI4DTOOqWqOxfH4oaoqSktLkZ2dXSfnSzS///47WrVqhVWrVuG8887jxrnnnnvw0Ucf4ccffwyHTZo0CRs3bsSaNWtqpVzSEiCRSCRRQVrbpNVeg8gWPN8aoKppJkXAsAqIlAGeZYCdYIgXJzYrQUMkEAigsrIyqrSapsHjMVtu0tLSkJaWZpu2tFRfTKp5c/Ew0jVr1mDIkCGmsKFDh2Lu3LmoqqpCSkpKFKW2RioBEolEEhdoQU8LZFroGttk3gC99U2UAFoZAPgCnA236x5wowg07FEEgUAALdPTYTd/o4isrCyUlZlTK4oCVVUt02mahjvuuAPnnnsuTjnlFGG8oqIitG7d2hTWunVrBINBFBcXIz8/P8qSi5FKgEQikUQNbQ1g/QNYgU2ENc9aIJpASOQbwApxvt+BOL4ojIwcaJj+AZWVlSgD8FcA9m13MxUAniwrw65du0xdGE6sALfccgu+/fZb/Pe//7WNy1oaSI89Gx4vpBIgkUgkDlHVXzhhBaEtfovfLMhZawFrFSB58nwGgMgWPh3Gz9s98esqUNWdof/2ccszHqQB8EWZNjs725Ufw6233oqPPvoI//nPf9CuXTvLuHl5eSgqKjKF7d+/H16vFy1atIiqvHbIIYISiUQSE6wJPYkKT+bES2LC3JjgefHpfTZvUTyrsHhSA2sLRWJIivLnBk3TcMstt+D999/H8uXL0bFjR9s0/fr1w7Jly0xhn376KXr37l0r/gCAVAIkEokkJlR1O6wXBUrmHGfFilm4646DadQ+210QX0WANf+r6iFOPHfo9yVyW9/fFnP+sVAXSsDNN9+MBQsW4M0330STJk1QVFSEoqIiHDt2LBxn6tSpuPrqq8P7kyZNwo4dO3DHHXfgxx9/xCuvvIK5c+fizjvvjP5ibZDdARKJRBJ36P5/1j+ANtVbe/ibuwnsnATZfEVdAyJfgCbU9qHIS3IAMf/z50XYTpUtsUQj1N3Gf+GFFwAAAwcONIW/+uqrGD9+PABg79692LlzZ/hYx44d8fHHH2PKlCmYPXs22rRpg2eeeabW5ggA5DwBEomkgRPPeQJojDkDgMj1AvjzA5jnDgAihXE8xv7T2zWC8MgwstxxNBjCn3deliQAlQAW1Pk8AYcPH0bTpk3xANz7BAQA3A80uLkNpCVAIpFIQqhqV07YZmq7M3WE17q26mOvhqoeCOXTHJEWAsD52H/R+dlt0bBFXjp3RAp+wFn/f+J9BOrCEnC8IJUAiUQiscCsGLDj8Qkikz87dJCGjU+2geiUgei6HEhcVT0a+rcfHuiu5U+XSVLfkEqARCKRhCCtfp5FQIcV5laTA0UqAqqaB1Ut4sTnbdPnq4GqHg2Z7O3G+/P8EMx58cssRlX3MHnRWCkAbDcFPbti4pCWAAPpEyCRSBo08fIJECsGBLb/n94WrTMgis9u6/mLFQEn6Z36H1RDVTNCzoE1MPwYeOW1y4vAKhmVAN5MmE/Ao4jOJ+BeNDyfgIaq3EgkEklc0a0EyZwfgTc/AO8/SXDMatvIXzfbO1kumDc8kC0v3SY2rkmfrCgVQAr41yyaG8GuTPUDD9wPD6yd+foSj+wOkEgkkphgZwQEIocHsv+iOLDY5p1XNP8/z0/AKl0Ss8227JNsyhK5SFJ9xgP3Qr2hKgHSEiCRSCQOUdUfIG4V09uRrevIuFYWAdH5s0L/RznnpLGbJEjUuie/JOhWgFTql0KFJVP/out2dk2SxCItARKJROIaJ575IqsAYG8REFsD9P76o5R/QGQcOoyebVC8VHEkqkoM4V4q7Chzbex5eaMX6h8i1ckuTUNEKgESiUTiClG/u0iI280eCOhOf79DVVsyeYvG/us4UwREUw6b46oq7SPONxKzEwrpzoO8uPW7W0CODjCQowMkEkmDJh6jA1S1t8VRu9EABP7sgaq6S3DO5hC3sgFVLWP2MyLisasR6mF0y160hLF7VPX30LkrYa8EJHZ0wNMA0l2mPQbgL5CjAyQSiaTRoarrIG4/WvXJi0YPWKUl5zxgGZf4B/DPbZVvMPyLL7TVQiRaol2OJ77UxQJCxwsN9bokEonEEvtx/2z8/4W2rESCEyc9c7iqFkBVCwTnPABVLeXmFWkJOAozdduLrap54Cs9DV2MHt/IpyKRSBopyVDV7lDV7gk5N3+bj1kRsIrHKgJ1DfFzYEcL1C+kJcBAOgZKJJJGhyH4SWv8VNN+5LadCBB755thx9IbzoK6RYDvH6CXsRSq2jQU15lSUNfo0yIfgN7nT4hugaLaRDoGGkglQCKRSKIW/vWZRArfVJgVgfqFVAIMpBIgkUgaKYke+c0bTmiNcwtANXdkQN1QCWOCoUqIrSSJQ84YaCCVAIlE0qiw9gFIpHCKz7kT7RegOwiSOQTYa6ofXQNkEmS3aRoiDfW6JBKJxAJ3jnnR5+00rjFSoKGgqjkwL0AEZltSH5BKgEQiaWTUlRAStXqtq11VbRP/oiQIXREg7W5DAVDVjokrFOToABrZHSCRSBoxdhaBGsR/Wlz7tLqXfVEM56g/qGoOVPVQaAbE+oF0DDSQSoBEImkUqGp7ADlRpBQpAiwiB7/60Q+eSHSLQP1BKgEGUgmQSCSNhFi6AZy0/HnrBURHQ7EC1FekEmAglQCJRCIBYF7Vry7PaWA1WZBEUhtIJUAikTQSnLTQo1UE2LxF5xJZFKot0kjijbQEGEglQCKRSEzQq+G5ic9u8/b5x1R1u8NzSeKBVAIMpBIgkUgaMVYtf1qA8+KIBL7IN6AGqvqTu+JJagU5Y6CBVAIkEkmjQFV3AthJLRZEcNIF4KxFLxWA44NopixqqFMcSSVAIpFIXHcBsOn0f1X9IV4FkkjqBKkESCSSRoaVwHeqDJhb/1L4H1944L6Pv6F2BzRUXweJRCKxwc7Eb/UDVPXb0E8qAMcbdTFt8H/+8x+MHDkSbdq0gcfjwYcffmgZf+XKlfB4PBG/zZs3uzyzO6QlQCKRNGLcDQlU1W9rryiSOqMuRgeUl5ejZ8+emDBhAi6//HLH6bZs2YLs7OzwfsuWLV2e2R1SCZBIJI0K0nI3lhR21gUgFYCGQ10oAcOHD8fw4cNdpgJatWqFnJwc1+miRXYHSCQSCQDrCXvkRD4SncOHD5t+FRUVcc2/V69eyM/PxwUXXIAVK1bENW8eUgmQSCSNElX9QdCfH+kDIPv9Gxax+AQUFBSgadOm4d/06dPjUqb8/Hy8+OKLeO+99/D++++jS5cuuOCCC/Cf//wnLvmLkN0BEomkURPZPcA/Lmk4xNIdsGvXLlOffVpaWlzK1KVLF3Tp0iW8369fP+zatQtPPPEEzjvvvLicg4dUAiQSiQRS2DcmYpkxMDs726QE1CZ9+/bFggULavUcUgmQSCQSSaPieJkxcP369cjPz6/Vc0glQCKRSCSNiroYHVBWVoatW7eG97dt24YNGzagefPmaN++PaZOnYo9e/bg9ddfBwDMmjULhYWF6N69OyorK7FgwQK89957eO+991ye2R1SCZBIJBKJJM6sW7cOgwYNCu/fcccdAIBrrrkG8+bNw969e7Fz587w8crKStx5553Ys2cP0tPT0b17dyxevBgXXnhhrZbTo2maVqtnkEgkkgRy+PBhzJw5M9HFkDCoqorS0tI6618H9HehadOmWA4gy2XaMgDnA3Ve5tpGWgIkEolE0qioi+6A4wWpBEgkEomkUSGVAAOpBEgkEomkUSGVAIOGel0SiUQikUhskEqARCKRNGBU9b5EF6HeURdLCR8vNNTrkkgkkkaPqt6HlJRk+P0KVPXORBen3uCJ8tcQkUqARCKRNHC8XsDjyYSqTkl0UeoFyVH+GiJSCZBIJJIGTHJIenm9QEpKNlT1nsQWqB4guwMMGup1SSQSSaNHVR8CoCsCRBlISfFBVf8vgaWS1CekEiCRSCSNBKIMpKSkNGofAWkJMJDzBEgkEkkDJyVF/6+q0v91ZSAzcQVKMB64F+oN1THQkRJQU1OD3377DU2aNIHH01BvxfFFdXU1tm7dik6dOiE5uaG6rBx/yOdS/zhw4AB2796N5s2bIympobbnxFRV7UZaGhAMGl0CejgQCAQSVzDo30sikJMFGThSAn777TcUFBRAVdVaLk70xFq2+nxtPEpLSzFz5szjrtwNndLSUjRt2jTRxZBQlJaWol27dokuRsKYNm1ueJutL3w+835ds3XrVpx55pl1fl6pBBg4UgKaNGlS2+WIGVVVoao/hfaSYAzooAd3JDH/RhxVPQhVbVb7BY0TqampiS6ChIN8LvUP+UwMiBIwffqUUBdBYldX7NSpU0LOK5UAA0dKQH3vAlDV7aEt8rETJYBWAJKZY3SYvq2qNQBSoarB2itsnKjvz6SxIp9L/UM+k0imTp2JRx9VEl0M2WVWDzjulRtDAbDCSgGInBJCVZvHs4gSiURS77j3Xn+ii5Aw5IyBBo1odACt74i6CpIBpAANdm4oiUQikUQzA2BDlQrHtRJgbwVgHzW7TSsAqSDdCar6e3wKKJFIJJJ6h/QJMDiulYD4QFr+qQCSoKplCS6PRCKRSGoTqQQYNNTrgrnVz3YFkB9RAHwAKgFsqbPSSSQSiUSSaBqxJYD4AFQCKIaq5gBom9ASSSQSiaT2kZYAgwaoBNAjANh9dhRAMHQ8py4LKJFIJJIEIqcNNmiASgCNLvxVlTfZkVa3RZFIJBJJvUBaAgwauBKAkJlfIpFIJBIdqQQYHJdKgKruDG0lAahJZFEkEolEIjluiYsSoKq3QR9ilwygHKr6XDyytThf+9D/TjRc/UwikUgktYG0BBjEpATowh8wO+IlZmnISIg/wFGoakaCyyKRSCSS+oJUAgyiUgIM4c+j9idXNLoDROdnVw2USCQSiURHKgEGcb4uMgFPbRO56E90s0FLJBKJpLGRFOXPDf/5z38wcuRItGnTBh6PBx9++KFtmlWrVuGMM86Az+fDCSecgDlz5rg8q3tcKwHWVgCgtgWxqhbBWgmQioFEIpFIxNSFElBeXo6ePXviueec+cht27YNF154Ifr374/169fj//7v/3Dbbbfhvffec3lmd7jqDlDV8ZxQWtjWvsFEVfMcLPBDyiKVAIlEIpHUPcOHD8fw4cMdx58zZw7at2+PWbNmAQC6deuGdevW4YknnsDll19eS6V07RNgNcFOMjyeZGha7TsGqmrL0P8BztGk0LGcWi+HRCKRSNyjqlcBUBN2/lh8Ag4fPmwKT0tLQ1paWsxlWrNmDYYMGWIKGzp0KObOnYuqqiqkpNROV3sUjoE1MG5H3VoBWFS1OVT1CBPGmx1QIpFIJNGgqveAnYrd40mG1wv87W/+KHNN7BQ1HgAej7uJgD2a3gguKCgwhSuKAlVVYy5TUVERWrdubQpr3bo1gsEgiouLkZ+fH/M5eMThSehKALECqOrMqHJ5+20FKSnA5Ze7e6mk0JdIJJLaQVcAWGqgaUAwmIxHH1Vw771u6+xboC/clkC8XsClEhC6aOzatQvZ2dnh4HhYAQisYqKFFA+3CosbYlACzEPxvF6gqqrKdS7vvacAAFJS9OcikUgkksRjVgCqYbYG6IpARYU7nytVPRdANoB9sRcwFmJQArKzs01KQLzIy8tDUVGRKWz//v3wer1o0aJF3M9HiELs0mZ/wwqQnAxUVR0WJTJBBD9gFvxeL7B4sYKtW4G//CVaM5NEIpFI4g/x9zIL/ocfVlx0C5yG+jOhXP2iX79+WLhwoSns008/Re/evWvNHwBwrQQQzcnsC+D1wtIk9MYbCpKTjdY++ZkKEtofOlQKf4mkthg8WEEgAKxeLb8zSbQYQtx9t0A9mXInWkuAC8rKyrB169bw/rZt27BhwwY0b94c7du3x9SpU7Fnzx68/vrrAIBJkybhueeewx133IGJEydizZo1mDt3Lt566y135XRJFJYA8/h7j8feHGSnAACyK0AiqQuSk4HMzESXQnJ8kAxd4LNdAQRdGXDXLZAen6LFSh0oAevWrcOgQYPC+3fccQcA4JprrsG8efOwd+9e7NxpzH7bsWNHfPzxx5gyZQpmz56NNm3a4JlnnqnV4YGAayUgmdnWtbqqqnJhCmIFAOytAGVl7kojkUjsGTzY6H6rrjbCli2T1gCJU3gm/GTQioDfr79nimL1XpE0CZ6/JTkZSHJplahxt2LtwIEDw459PObNmxcRNmDAAHzzzTfuyhUjMVgCQI0IeIIb87XXFGELnxb8W7cCBw8GoKqPuS+ORCKJYPRo3ewfCADBYORxr1cqAhI77PruiTAnioA+fFxV7wMAqOpDptj8kQYJwuutdSXgeCEGS0BSSAF4KCLW3Lm6Rigy+5NfURGweXMsY00lEkmPHgo6ddKF/c8/A5s3+y0VAEAP93qBYcMULFlS/76/li0VECso6UqcObP+lbNhcwz6EvFWsIqC0cpX1fvC8sGYa6Cak0aSSGKyBOgTB5n5+9/5rX+6G8Dr1Suon3+WCoBEEi0jR+rfWjAIHDumm/orKvRjVgoAL5+FC+vHd9iypYJhw/Syl5bqYV4v4PMBt96q4Nln60c5GwOq+gxU9c7QnpXgThYcr+YMM6wnSEtAmCgsAfTsgO4fqterd8cUFVmPKJBIJGLGjtXN/UT4A2ah71QBIGmJQvHBB4n9JgsL9S7CYBAg046kpOhKQFYWMGmSgiZNgMcfl3VH3eCk/56WAyKFoJ4hlYAwMfjkB0y+ALNnG10AxNRIKqJk6h0i1gBmTgSJROKCYFD/sQoA+b7IN+gUInBHjdK/4927ga++qltB26+fgtxcXbEhFg3AuEaaKVMU+HzA9OlSGahd3Drx8ecSqHckJ5sFkxN4L2IDwKUqRKwAVSYF4OmnlYiYImckANizB/jrX51/vGvXRuYvkTRWxo3TvwciuMm3FgzqLWYCURTsrAKkbquqMuLX9ZDd0aN1BSAQAMrLEfZpIN0aZLusTD9eVgYcPFi3ZWyMqOozAAKJLkb8oZ3T3PwaIC6VAD26x+MLDwd58kl3AjoYdL4+wI4dCnbsUNCsmbtSSiQNmfnz/RGCnezn5AD9+7tXmmlFAADy8gyrQG1SUqJg7FgFR47ogp10BdDKC08RIMrApEmygVD7HER8W/Zyiff6hGvVRh8WeBjRPMSyMqC4GBgwwFn8Bqp4SSRxw2nffzSt+7r4/q6/Xq8XKir4zoxs12IggIh5RyS1zecAzgRwAmLz7q9Hgp84p7mhFhfxSSSuPyFNqwaQClV9DI8+qq/8x82Yk/MllzjvAtizx5hkqKgI6NLFbUklkoZLMAj07XsYr72WjXbt+MetBKSd8CTpx47VHQbnz49v3/tJJyk45RSj/58oALQSQJeRVQ6OHQPS0/V0ktpFVbdDVbsASIF5mJ9IGWCFK28/wQqBVALCuPYJ8HiSw5P6sAqAaCZAwmefKVi1ytp8t2ePgqIiY62BlBTg0CF3pZRIGjKjRyuoqgJUdSauuWYjFi0yH6d9BFjhWVYGbN9unT/ta0B+Y8cqYV+EWOnaVcGJJ+rfNen/d+K7wELSTJgguwRqG1VdCuAjAP8C8BmcC3I7hSBBSJ+AMK6vyuvVV41i1wNg4/C2AX2Yzw8/KNi+HbjoInProqhIMTk2eb3AunXA+vXf4JJL3JZUIml4jBunoKxM78Pv31+BqvqhqicjGEzBiBH26YnHf2Ghgv/+Fxg4UByXVibiUf/166egaVO95V9ebu246OZ8bpUHSXSo6rfUdg70FQFZ2KnledtAwhcSSk5usELdLa6eBLlnvAl+6ImA6H/6OH2MFvaA7iBELAtFRbrw/+QTYPXqTVBV8/KKEkljhRacwaAuWFX1ESxapLfweeZxWpgPGqRg0CAFK1b4UVUV6WBI4FkDohW2o0crGDZMV/BLSw3HPqspjdltu/p60iQFd90lLQJ1har+G9bDB5Opf/NMswlXAABpCaCI+qqIFcCUGUcRIBYDsk+OkX7MoiLFlF9REfDuu1VQ1UeiLZpE0uB44w0FixZFDp0DgDPPVAD4sXcvsHev3t+em2udX//+Clav1qcXzsrSw6qrzd2kVVXmLr9337X3C+jXT0FhoVlxKC6ONPmLrAtWCoBVHVxdLS0CdY2qzoSqToF4USBW+OvozuX1pFtA4l4JSE42DwtklSR6mygAPp/+IxYYYgkgzn90RdOlix+qGsslSSQNj5dfNlrPrED1eokioFsDfv7Zj6wsfT8YNIQ8jdeLsEWgf38lwjJHqKqKVA5oJkxQTMP3qqp0oc9aEKyc/qz2RQ0LGjrfadMUPPignECo7qhCZGtfLPzrDQ24Ze8WV3eBbdVHZOY1t/6JsPd69TXM09ONfZIfm1YikURSXKz/2y0MVFgItGihYP16QxAWFSkYPToy7ooV/nCeREln4S0uNHu27k8QDOrOfcTDn23p0/+Afcuf3Rc1LACzJZKeJVFaA+oWVX2OWl+AxphenhX+Xq++9HBCn5UUOGFc3QVWAeB1mRAhT/8nJ5sVAPrei4YYSiQSoLpawaWXGpPkWI2lJ9tNmgC9eumWgPXr/cjL82P1an7+Z56pICfHEK6iFQWbNFHQt6++PWyYPlsfMcETSwBbJhHRdgPwFAD2fMGgtAbUPfsB5IPXJUAUAPZ5JScnWAmIxjFQ02qnLAnG1V3wevWhkjwlIC3NbPpnw2jFAHA/RFMiaYwUFuomdroLgDjtAYYSzfax09+aFQ89BKxZ8x30FUG/E3bFnXOOcS5e/z6Lk3PbdQHQ2yILAB23qkrfl3MH1DXzAYwAcHJoX7cC8BQA8hwTLk+jsQQkvNC1g+vugKSkSB8AVgGgFQFe65/+oCUSiZjCQmMyHdLn7ob+/c1Le5MuAMLQoX4MHWrsE8uDCNH5Y7GsWgl/gN8NyTtfdbXeNZGSoi8wNHOmtAbUBaqqQVXLAZQDyDQd4zX6UlJ0eUovEiVJHK4tAampkU46xNTv8+kKQXq6oQCQeFYWANk1I5FEQhz2yHz6seL1AoMHm4fRsZWzFawC4PXazyHgxEpgJfzpcjkdLUDKKRWBukNVl0NVO4FVAgD+c0x4o1paAsK4uguZmcYDZZ3/aAWAbv3zPmpAPNtgRYUSrlzWrgUGDJAfsaRxQkzbvG6AWGGVcSdWuZQUvQxOu/KsFAQrRYBXTzgZJggYIxloRWD69KnOCiyJkcrwlseTbBrJQU8s5/UCNTUJKiJBKgFhXN0FIugB80dJwps0iez7B6wrHNFzKCuTCoCk8TJsmGJaUjdWBcDp9yhK4xYnswy6bSBYOQ/S52SHNF577c148825zgsviZIa0KMCCLQCQGRDwqfhl0pAGFd3oWlTvkmO9QOwMv1bKQD0vnTukTQGhg3TzfPjxgF//rM/HMYOuePhpPVu9T3y0lt57sdr+uBoyuJEEWDLRitOqqpClROQ1DLVIA6BxJoLmLuLibxIuD9YNKMDEm6+qB1cdwekp1OJvfyfXT+jqA+QJi8P8Hj0CvK//wXOOUdaBSQNg5Ejzf3yCxf68ec/69tEAbBbVMeqtSz6Ht0u+MWG0RW7HeRcPAuGU+WDd36rfwJ7vXLugLpBVd+Aqk6Bosw0hT/5pMLtLpbUD1w9ipycyDG6bEvDbUXjpCI691wgGFRC55DKgOT4gxX8NETwr1jhN1kASMs7GHRmshcpALyJdXjpefsinDoFOsnPabcBq+gQ7CyOhCk334xZz+dC02QdUluo6syIsKoqQwHIytIbkwlXAqLpDpCWAP3hpabq21bOO+y2VZjT4+RYcbG+jOqcOe9AVTfbF1oiSRAlJQquuCLSj4bmgw/8ePppBZ98ok/jy2v9u20le73GsF26rnOqCLDh7Kx/9HTFTiYFctoStysHr2vDyqwccb1eL8aPB1591Vl5JPHh3nv9ePttJdwlkJ5uyJGEIZWAMK7ugs9nPDy7/jrTSeKo9eXl6f+jRv0JgNToJfWXvDwgN5cvBHfvNt7lWbN0ZzYat9+SqPVP/9j0IjO6G+wsAWycaBQCuuystdFJw4GmfbuGWZHXd5o1060AWVlmOZIwpBIQxtVdSE6OXALYrpVhh6hSsMund29gyRIFF1wgFQFJ/YQIVfIuHzkCrFwJ/P3vwDXX+NGkiYLBg/VFtIgSYOWE58TSRubtEAl/t2Z0N0MCeeUB+OsHOFEGWOFPyufEp4g+booTDOLJJxX89a+y3qgL/vUvBVlZulM56Q7w+SKV3jpHKgFhXN0F9r7FQwGIxUowbBiwaJGCoUPlBy2pf2zcCPTrp7f4v/9en6L3kkv8uOYa/fiRI34AfF8BngJg9a04af2zpnTA3kubPk6c/NwqBbSSQ3DalWC1YBC7bXV+mpwc+zSS6Jk7V1/K2ufT7zUR/FlZ+vOqF0pANKMDEl7o2sF1d4DoQ+Q5BbLQnsLV1fYVgRNGjABWrlTk6AFJvaNLFz/WrFHQsqVu8r/8cuMdHTZMCU++QxA527EtYRHxVAB4LXaeQmCXDxuHTsdTDugy0r5GVg0NV3V5wj3SGjZvvGEoAFlZhhJATy0PNFh5elwSU3cAbzYoAm+lM7oiIBWAU/NgMAhs3WqOR14uqdlLEsGePQrOPRdYtw5o0YKvhAYCfuzaBVx+uRE2apTiuBvMbulcNg2rBPDytEOUVqQQuDkHm5/VcEGeQyAhCc5Ns2zcXbvKHaeV6KjqfejXT38ZAwHdohUZpx969TIrALQlgH6OCZ8HJprugCg1l+effx6PP/449u7di+7du2PWrFno378/N+7KlSsxaNCgiPAff/wRXbt2jer8dri6C2lp4sU86HtKD21iIR8+rQjQeYnSJCf70aULv1zEwcoNqroOqtrbfUKJBEB5ub60bjCo+6esWaMgL8/eGkUrAGyrmIfIw5/dpvdjUQCscOuEZ+c0aOf86PVSAjxakyH3JHIJU6e8/bZuySIyKxjUBfrixQouuoh939PD5n6iBOTm6tu03KiqqgeT79WREvDOO+/g9ttvx/PPP49zzjkHf//73zF8+HBs2rQJ7du3F6bbsmULsrOzw/stW7Z0fW6nuLoLWVn8yYLobTsFgBxj5yGnlQE27YYNwBlnuCmpGFVdF5+MJI2WZs0UFBTo2+T937PHWhkdOzZy+B9dKdpNlevUHG7nNxAvrJwWeftsazzVquYhNylgsVYx7yS848Egp/L+1TqdBJ99pq/hkp9vDqcba599pr/TQ4f6oap3on//zLACkJtr/NjJgeI582TUxKAEHD582BSclpaGNDIOmOGpp57Cddddh+uvvx4AMGvWLCxduhQvvPACpk+fLjxVq1atkFNHJm7XPgH0yoD0P13BsA+Z3udNgMJTBmjatnVTSj6s8JdWAIlTfD7DeY/u1/T59Pd240bgjDP4VoDBg5Vwd5Vdy5fethP+vO+OlA+wXmvA7XTBPKyEvkng0wLcSZ8fu221DKHVhAqWDkftrMvRyFDVG9CrV35YLtL1PCD2RyHv2OefKxg50kiXmQm0bGl0B7BWYjrPhBGNY2Co8AWkBRBCURTulNSVlZX4+uuvce+995rChwwZgi+++MLyVL169UIgEMDJJ5+M++67j9tFEC9c3YWMDP3HwhPmtLAXOTyReHYVV8uWwA8/KOjePTrnP9n6l0SLx6OgWTNzGFtZduoE7NoVmXbYMD0tLY+sFAErwS8S9qIGjagv36mwd9OlwDXZWwl/kZnQSVqnN9NiRqPBg7M5iRonqnoLunZtEfbct5tkSvSu0EvK8xwCaaqqjm/HwF27dplM9SIrQHFxMaqrq9G6dWtTeOvWrVFUVMRNk5+fjxdffBFnnHEGKioqMH/+fFxwwQVYuXIlzjvvvPhdBIUrJSAlhT87IKB/ZxUV5tnRnCoCJH24UMx3W1amrx/Qvbub0koksVNYyJdDaWlGhdeuHV8JoLvxrAQt/c/zjOfB+uHQre+a0CpudrJUVB5TfsEgYNcd70SAxyL4eaZEdpvX8mfDQv0xgUCiZ6qpP3Tt2gL5+eZ5/ck8/3ajM1jlgF5IjqwzQ3cTA8YjOy59AkLxs7OzTUqAHR5myURN0yLCCF26dEEXyvmtX79+2LVrF5544on6oQSwZiJCIAAcOqQL64MH/ejYUeH6CPC6BOgXhLx0rJa4ezdw4421OwSQWAtkN4GEJi3NeEd37wa2b9ff9UsvNSrL7dsj040cOSXiW2EbsLRJn+f9b2eOT0INd5WhpFCEVCqTVK+hHOhxOCZ7Ohs2Xystwk2r32rfqSJghaj1QXHuufbZNAaWLlVQWGie079JE6OeFzmBE1glgCgC9D8dl36ElZW1fnnWxKAEOCU3NxfJyckRrf79+/dHWAes6Nu3LxYsWODq3G5wdVW8bpRgEPjuO7OA3rZN3z/pJMX2vrHKQbhgVLriYjeljIQIdlG3AB0uRw1IAH3e/3POMaxfgQBQVeVH27a6j4rPp8+Fvn078OGHQM+e5vTJyZEmfJ5Jn65Aea16LqR1TpYaJGEEQU1tXuWdyku0zTtm9UHbtfZFx9z4DVhh6QdgMGYM8MEH0Z/meOfrr3Ufl3btjKl86R+97K+TaZp5ygBPR6Qfj8CCXnfUgRKQmpqKM844A8uWLcOoUaPC4cuWLcMll1ziOJ/169cjn/XQjCOuror3cO2+cZ61jmcZINAvXDz7jdz4BUhFQNKihR+bNwNnnhk5o1+/froCEAwC//oX0LNnpJWKXXabha4sjRY9nDvPkY/PiQMdu83mJdoWfeBOKkOnwjweCgAr/FkrAHOPTu1aiUtfU3DNNY1jgrGHH1YwYoQh3PPydOFOWv3EApCTY57Zj67vnTryiaaddro2Rp1RB0oAANxxxx0YN24cevfujX79+uHFF1/Ezp07MWnSJADA1KlTsWfPHrz++usA9NEDhYWF6N69OyorK7FgwQK89957eO+991yf2ylRKwHku1q/XvwhbdvmR7Nm+gxSJD2dls6XQBwF6ZenUyc3pTRj1fo3LARigS9HFTRu2D5NMtd/aSmwZo147gq6NcUjLPgDwUhha+VFy/5bKQG8i2HzssvXaX6xEA/hb2H+57Um+vaN7pTHG3//u4KrrjK38om5nm39s1YAN0YfKyMQb3K4hCsBdcSf/vQnlJSU4IEHHsDevXtxyimn4OOPP0aHDh0AAHv37sXOnTvD8SsrK3HnnXdiz549SE9PR/fu3bF48WJceOGFtVbGqJQA8nDXrOErAD166Mv9Tp4M/OUvfrRurbem6G9RZLkj4bQikJXlppTOWv1OhDkvH2klaFysWeNH//5KWNklFeSSJdatyKwsIBWVxlh3gpUAt/ognKRncWNVEOXNw85ZwW0aJ4iEvF1F4vUaFQ+5Lq8Xby6owR13KmjatOFaA957T8EllxjD9VhzP8/8z/Pmp2GnfrfSJa04LocIRlnom266CTfddBP32Lx580z7d999N+6+++6ozhMtrn0C6PtAr3/O1kkpKcDLLwNVVYopPbtmgJXTIHkZW7fW+2gzM60/WL7Qjk5gWykSUhFoXKxebbx3CxfaCw1VVTHlmmuAygxnJnc2TFQ5iQS/U2c7q+P0uC2eEsCWSVRGq7GMTtLz4CkADvv/AQiVm/vuS8WzzzovxvFG375AQYGxpHVOji7kaec/utVv9doRSDcY3VDjddvyjFns40soddQdcDzg2hIARM4FQB+3+lZFawawigANedlatLBXBOIpmFW1d9SKgOxCkODAAeDoUeetdaf97E7zo4+zzTdRXBKPVgbYsomEPA0dn+TFjn1048MgqlTs/tnrJE3XUN7Nc2pw5pkKvvqq4VkDNm5UcNpp+hBXVgkgQwHD/ihApHUFxmgS+nayDTZ6RJeoQUdjVdfXKVIJCONaCaC/eXbufydWOoIbRYDkl5enr8leX5AWAQnLzSNG4NFHH9XnEU5Li5wBy05o2vkCWE0FCOgfVlYW/GvWQOnRQ6wMkLi8c9BxU1LErW/a1E5ITo5My5rm3ZpVrTyJncBaOKj0Xbum4quv3GV3PNCuna4A0EqAzwekeqlhpbzbSN3rJNSYhpXSh9lt1srLaxyy+SQUqQSEca0EEHMQ23fPUwasfHWsqBeaokQSDVu36v87d9ovCGA3ENuqpW4lSMkSbWVl9l0DIisBG0aEO31NPEuBk4/XLg6tePDgtR5E8VjrCaMEtGvXMCcOOuUU3aG6sFBXAHT/lIBYGruscOnbzq4DYxff660HqwhKwrhWAmjnQPafKANOhb7VNMN0GAAcPAjce285OFM01xp2XQJ6HOvjJI60GDR8lH79sHvlSn1n507j5aZbHfTMQLwwGpGZnoY1s4fiKs2a6bMa0fnYYWeiJ2WIh1dXvDV9q0qHtQQEAuFZz1JxFNOmKXjwwYbTJVBQoKB7d10BaN2yRlcGiQIQB6HPgygCgLPXozE5BtZ3XN0F+r5Z9f+LxoYCkY2Hqir9HZ03D5g0iZ9fcbHuZKiqT0RxibWD3QREvLiShoPSowfw449AeTnQtSv827bBv2YNrtuyRY/w66/GRAG09iz6AfxKhnbBZk3xdulE2MWvq8qOt3yiG0R2ZpGjJH0vA4GwaTMpmOjp6+JL7966ApDtPQoUl0U2u1lFIAaFgLUIEJxYBhKK7A4IE5UlQHTMyldJ1MhJSdEtqEOH+uH1KlxLwLp1SNjEHrEIcCn8Gx5Kkyb6/MEffmi0sDIzjQhkEYF9+5wJf1YRYGHM12HYdCJfAp5nFi8vu3ROoX0CnEBbFohS4PT8oopF1F3Au5ehFrIyZQr8M2c6L3c9ZexYfSrg1LIDwCGmO4g3FMDOHwXmwzy/L56rhmjSIIenqn2kEhAmaiVA5IxLH+d1H7L5BYPAGWcAgMLtSggG+TOy1RdoQW+eflgqAA0Npbwc+OEH3TRFFICqKr1y7dkTyhtvYDcRgCUlQGqq/hHwFgcQKQC8GpXX2uVV5HYCXlTx8/r2neK07w8Qn4cnzGkrQaxdBzzHQM4zUG69Ff7jfMygoQAcMt9vO6EvuL8850AS3aruZ2FXik24ZV0qAWHielUiM5FdXHaGQPoF++or3bv1eEAK/oaLsm+fbrLatUvvAqBbu1u36osHHDkCkNXBAgGgpkb/J4oAYNSGPD8AUWuePc5W6laC3u5YbXrh0iMCAHOLn4YdRUDKxvof8ByHrOC1KNh9VhGYPBnIyYF/+nT311sPSA0cNjuE8pRNl8+bVgTsGoFsHBbadyChSCUgTEKuiqcssIpAIADs3etHfr6S+GUnJY0a5Zdf9JWCdu3SW1i0UEtJAYqKoMyZo4eRGq6iQlcCUlLMwoxOSxQEFl4ziTfcjtcMo8OjFfI8DV7kscsKanp4IInL5ikqD6/1TysSTpqPvJEFvEmQePeS/IqLoUyZguF/ykbfvvXXCsmFWKhoeBYnO5hnReYT4FkFSDQn7hlAbG4gkvgTVyXAyoIZPiFHAWAVgQ8/BLp31z8+TTvOPkJJg0IpLQWKioDff9ctAKSCZWsynpASDbmjh9uxrWQgUpDaIbLNWjXX4glP0YjXKIJoEfkWiEyVwaB5nfSyMgwfno2DB2u/qHGFp9zEmh9gUgZqkGT5yh0XyNEBYaJ6Q1hnZacPXlRHbdigL9Pao4eCzZv96N49mlJJJLXA1q1665/0/4uwqyBowe5keUzeuHwWnpC3s9fybLdOW/2ibd6+KIyF1wVgF4++NyKLAWtVAMwzBvIqLSaM1gkSgcejRN8IcivgrFpt9HGvN2wV8HqTonq9oile3JHdAWH4th0HiBQBJwoB2zWVkxNtKSSSWubQIb2vPxAwBBTt7AeYFQCehYBGNDlPbXaUivrFaUc59hcIGGPLyb/Vtt2vutq43qoq43pF8en7U1VlLjMdTl+fA8EecU42PRU+bJiLe1wLDB0aRSKrvn+esmcH715R6URuKvUetgvI6a8B4loJcGPucVqvtWtnrDy4ZYsCVR3jtlgSSe3A6wbgKQApKZEKALviViJhKm+u4OMJdZ4iYKU4OFUGqqsNZYBVCOjyuVUE6DR290B0H0L77bETo0YpSASjRilITwdGj1YwbFgUZbBSAHhKod2PjhvaNiwC7ouXcKQSECau3QFWCrldF2VVFfDZZ0CXLv46nRVQIgF0739/69bG/uef686ArBWAFuqsxz8dJnLuoxFZEHgjCXjpRZUSz0ZLHyNhVi1nr1cfb7Z9u77frp3udFZWZj6/E9svD9r0b7feAO/aAL7pn0YUziuz4B6dmvsbOt2l4PHHa983adQohduabtYMyM9XsHevfRk+/b4NhnTdaQ6kr49X+Vo9N053AJ1HktfL9RE4bn0FGiEJU21YZXTPHqBtW+kEKKl7lD17dOe/kBKgfPih3voXKQC8IX/kOF3zWVkB7BQAJ/CEpCgejZNa2eeDPzkZSiiePzkZSteu+sxdoeMmL3SeYKHLaCUheAqWk2uifQDYcDYu/e/mHAAyyva7S+eAJk0U/OEP+jZbXJ5pPTcX2LvXPt81a/wY0nUC/6BV60yESGFyoAi4OU2dIx0Dw0TtE+AEtiHD+zaDQX0CtiNHpAIgSQz+tm2Bn3+G8t57UN54Q5/ohzgDWikANLyXnHQH8H5uYE3fVojM27w4Vhw6BOWHH8J5KL/8Avz3v0AwqFtMHnrIiGtXmfJMhU4Es5Wlg01LdxcA4nvmRhJR3RzKxInO0znglFMiLcyi/aws4A9/ACZMcNgtYPfMeSZ+u64AOg/O/Q8vSUxRr63nsjsgTK1clRutLxgEDh6UCkBtoYwbp2/QDyQnB/4XXkhMgeoRymef6WP/6f5+MgqAJ/zpfV6Y21VUCLTZmjeNLh1OCzVeywywNG9bwusv53QrKDt2wP/440Dr1no3SosWUDwefSZFJ10UvDjsnLIkDs/i4rYyFl2XXXz62oNBKBMnwv/SS6aoJ52k4Oef3ddf9ARoPEvA/PnmPJVp05Cd5Sxv//z5UCZwrAFuuwDodCLLDnO83rX4RUQj1KUS4CAzh5YlWsmkuxgltQj9wR46BGXiRCzf3AarVzdiBez3340WP23eZicDItsEq/77JIFxTeSsZiXwSTjJn9eH7lQRsEP04fIUCq9X70LJ0qWSUlEBBAK6MtC7N7Bqlf35eJ3f7AyK9P1n4/LSsvC6CuwQ2bMB3SJw112o9GboS/MeOgT4DsPvcsmBfv0UrgwKBIAPPhB8j7xlgK2wUrjYFr6V0GeP856bA3h6WEKRSkAYV90Bdg/O6TdGQ/yOJLWDf/58cwB5kcvKcH7X31BQkBjv50SgDB9uDiAKAGAewkZM9sT0T7bZEQC81n5NjTk/Ol8eoqFzbDre0ELWY578OzG1W5l8rcJpiAYfmqZWSU8Hvv4a/sxMeB538F7RrX12bQV2yWUnFXC8K2leq2X3bqTu/lXvwywrAw4dwpQp7r4h3mNZv95CASCJysqg3HorlMmTw/88lKlT9Q36foqEOg+nCgBHIbDqPSDUi2mDJWHiNk8A75gdXq8+F4ukjiEf7aFDuHbYbygtbfiKgOLxAE88AaWgAMqXX+p9/7QCQNdMKSm6ZYAW/tH069ND4EQ/gp3AF4UTRYAV3LwP1IlS4CRc1Fe8e7duZRo+HBs3ZsKfaf5hxIjI/HmtfScLLrHdBSJYBczJ/eH1mdPbzC87eAA9ejj/hr76ym867cGDwObNDi1yhw7pv6IivfuFg2ndA68X/hdewPLvW0V6HDrZ521z/unphEWvGfvKJxTpExAmbvMEuBH89E92ByQA+mEVF+OpW35NXFnqiu3b9Rdu0SJd+LOmfnr8P0/420FqOFa4sBYB1jogav27VQToc9pZB+ycv0QKAZ2n1f7bb+PUeXdEpmXntKefAakQeAqACKf+AvTaAbx/uzCyLbqHxcW4bOABcTk5EAvowYP6wpTx5mhOG1TmtkFlTisAodvCLiUcJ0WAKABWt5N9bZ1MmlmrkNEBbn4NdHSAK9XGqZWRwGp9dFcb2e7a1U0JJG4JOwYCkQ+OPITiYrz9toIxYxqmf4Cyb59+raQSPPdc4N//NiYBovvdaUWAhLFYNWdI7VZdDdPKV6ylgY7LjpN3M/6d5zBYG9AfLrvPO+b16usuUNT8YQiSqqqAzz+PNDNbKQC8xZcIrBJhBzvdMFVeoW8F77ppvN5IBceGRYsMS6hjx2j2GoNBKKNGwf/BBxFR2XkN/v1vYOXKbGRlAXeMP8D3CeDdP4vuACvhT2+L9NmEEk3LvoFaAmK6KidKAfek1Hf2hz8Aa9cqqKpqmAIokShjx+obVg8o9DH8uPhX+OeLox2PKCUl+gb9wffpA//WrUCfPlC2bjVP7sNaAkg4gZ42mBW6vOmBRU6CrEIgGhHAy9+JwyBvJT3A2uHLDTwBysufPk8wiAcf9GPQIAXneb80ys4qAGzZeJMzEdwqALTlhL5HPAXAqfAn4YcOQRk9Gv5337UvB/Q5Ub76yj6ex6Pg/vtCS1ILrlMZPRrIzcUBbys0D+7XnTRffdUUJznZD03Tp77YV6V3Xezbp0+N0TJHH+J3uCwJxcXACXlHI6+T/kekAiBSBGgjF33crcyIO1IJCBOXq6K/Badx6fvp89WjvqKGhujrZIVBcTFGjlSwcGHsyphSUcE/QD68q66KdFiMA8qePWJTZ+ja/bQTSmamMSEQbf63mgtAtDKgHXQcdsVAVhEg8XnWAN7SvaxlgYY+zjPFuWz9RWzbQaVXKiqAf99vCH2eAkA/M6s1GXhl4z0z9p6w99VKEQDEFZug0hO1zKOFTChksmQRKRpa38H/1luu8pwzx/obnzpVQWqQrwhYCX+rcPZ4wpFKQJiYror3HdBhvAYTiSOpHcKtfxonrUIAp5f9B4W3Knj22egVAaW62vwS8F6Qt95CkyZK3CeI8rdtC6W8XCzcAgGgaVMj/qWXQpk3T9+xUwCsECkHbBweTpYLtlpN0KnVgLe0rsgMbBWHrjxFYaJt1uOf7nJh4/GuTVRO1opAwz5PkQJlZwlgsZBmysiR+vHCwpjm4ygtVdC7d0jwelP1H4AHH7T/bpTRo41rESnF1D2nyzl9uh/KXXeFjxGcKgAE1gpQbxQAiYm4iWNeIwMwFIEG6lNRL1AmTw4P04rA5ZfXfMNyDBumYMkS9wJaIZWM6KuvC+2vaVOgXz/4V6/WFQJSjmDQtDYAEJosqEmTyGF/rEDhabKshktecOIHkJIi7g6gsZp8iA6jw+0UBydmc1YokDB22+rfapsV0LwwXr7sNYrKx4sner/ImsBpaeZwJwqYk+9H9N1t3aoPS83KAjp1MnvtO6BpUz/cJFFGj9Y3eM9CpECJ7pngvlu19N1YhBOOnDY4TFS1skjgi7b37AG++86PYcOUiO9OThkcG1OGDxcOFbJEZAYOBNCn5a9Y4jAbZfRow8sJiKwlOGbn+yv+huRg/J+50qyZPnTqv//VTc+MF7fyyy/wn3iikSA02Q2OHIk019P7vJkAq6uthUhaGpCcDP+f/6yX7Y03xHHdCH07EzmLSDjz9nlpRP92rX36mEiw2wl1+l/kDMgrAwsR/l4vkJ4eeVykaLCIutZEcQihIX3K1Kk4UJYaXofp3Xdj/wYmTlTQxqv7AaCsTNzyp6/LjXLOHOMZS3jH6z1WSqNVmgZI1FclEvhsHECfInPBAgWjRkXG+f77aEvQOFHVszB79nAUF+8G8Kgx2x3g6mPmHidft5sZnBYtMsbUE6qqIs2OlEDo2xuOnKLcoDRpomuUgGEVYX8M/j599LSffaYrAgRWuPIEvkgAk9Z/6J4oixfr94M8Ix52SgAbbteKE8UTKQKiuLw4POEs6s93IvTpa3OjHIjKxrsnmZn6v89nPAeeuZ+XllZqec1gnuu7qDJcuRLNfT40z80FsrIwdqyC9euB2bOBCy6ITiHIzQVQFBqZQJRakSJAX5NNd4d/+nQo06ZZnttO4Iu6g+sFdagEPP/883j88cexd+9edO/eHbNmzUL//v2F8VetWoU77rgDP/zwA9q0aYO7774bkyZNiurcToi7asN7MXJyzOuN0Bw6ZHyjEnuefHI4bjr3W+zetw8KYHzQnBY3gKhedP+KFc7j+3xG5RMM8gUmJRgeqP4btK/iawVQ0tN1BYBWPIjjlKjypvBfcAGUJUvMTne0NcBJbcZOG5yRwW/FOskDEAsnq5Y7ixuB7kQJsHPgE43vt1Nm6G2nyoETxYZALAGZmWZlTOQ7wh5nLQCizm7emDj6OqqqjG8FQGffTnQ+M4jhi07ApEkKunRx/114vYhUMJn5AOiJfJJQ49g93//gg5g2TYlYHMhJA7DeU0dKwDvvvIPbb78dzz//PM455xz8/e9/x/Dhw7Fp0ya0b98+Iv62bdtw4YUXYuLEiViwYAE+//xz3HTTTWjZsiUuv/xy1+d3Qq3YN5w2UAD9m6CHU0usuWPET0DQG67YHl7aG9OnZyNp8yazQgDYtxjZyi2ar5ntW+PtE1JSoNz3OVTV/Wks2brVrIiwCgC5rsJCcR7slMAkDLB3auEJtvR069a/FVZC34kS4ESBsFMAnDrtiZQBUdl4YXZdAU6vR/S+k/yJwmr3novM/kQBcCr8yTWRspF3gi5fMIjs7d/izTuD8C+0LhaPpGCl+T2j7kVlMAkr/63PEbB7N9CuHTBmTBJOOSUVXl8qd+U/lmAQSA0VNwk1JoVCFJ9Qb60AdchTTz2F6667Dtdffz0AYNasWVi6dCleeOEFTOc4fMyZMwft27fHrFmzAADdunXDunXr8MQTT9QPJYC8X3Y+AFbp2e127fSF3CTWKBMnGtMrtmuH5euyAQAZGTPx4IOhOCNHRmcJiEWVZ72vyXC3YNBoQVv0XSvp6fAfOxb9+XkQBSAvT/9t3647BrKOYTT33AM8+aS+zb7oPp/5HlkJNnItmZn8/meCXSvUifDm/YvKaJXOSghbtfJ5Jn/euXkKlFX3hhvLh5XlguzTjoHss2QRtf558dhjomGMaWn6u5CVZVYCaCU1EIAyeLAe7vPBv9BeI5g6VQGCRyPei8pgErZuBr77Tp+OODMT6NJFP7xwof6bNElBaaku0A8etD0V97JEowOsjCX1hhgsAYcPHzYFp6WlIY1Tt1RWVuLrr7/GvffeawofMmQIvvjiC+4p1qxZgyFDhpjChg4dirlz56KqqgopTvyAXBKVJSAKq0hEWvLftatUApxwOKsNfLn69pw5wN69hhapDB/Or/zYm81r+dv0m1uhFBQYQo+GWAOIImCimZG+okL3zo8V+vrIzG3BIHDfffqSt9SwQBH+deuM0Q28Frzo3rD3nHQHZGWJlQArBxpemNMWPC8fK4Fs5YTnpKXPO8bmLbomdj9eFg9eOtoSwH4nIgHPa+E4qfjY85J1KMiPHOdZqkh6r1d3uPX5uPNpKFOmhMp51JSmBkkIBoHNm20WI4L9XAEE/bKTbK0Gx5UCAH24o51Vg5cGAAoKCkzhiqJA5Zg3i4uLUV1djdbMqKTWrVujqKiIe46ioiJu/GAwiOLiYuTn57sqsxMcifPq0NP8/ffdCASyTcesFGbe/Cjsd/TDD0DA5ZSbjZHp06ea9stDw98uP+kk7KZnxqPN8VaTp5D++0AAqKw0BGh1Na4rLMTszZvDSebOvRnXXTc7IqupP/+Mm1NSdEUgNVVfQY/kQ7ZpgkHs2pGF2S8EcPORI9jt9QJlZTE//91lZUbNU14OnH46ZpeUIGwicZoPmeWvpsasyADmmfloPB7T9q5QnJ3V1cjhncSpVzkteIJBY4Kbmho9rLLSKCfty8AKKytPcPp6iPJCD1MkcZOSrGfzo98zK2WGF8bmwVNIrPIRxaHi7gpVuDt370YOUQhFCwuRbWLNIv8VFca2qNLjKSJVVXra8nKzZYWUgfd8yNoWXi+uGzYMkx5six49jO9v6vTpuPnKKw2FJpRvDZJQUgL84x+R32q0/PLLbmRl2c/DxLYlyGKaote9rOxwKI/EzCMcTe8nib9r1y5kZxtykGcFoPHQdQQATdMiwuzi88LjhSMlYGtolrVBg7rXSiF4WpTEmorQrHw9QkPQapdH4fOp3CMFbp/d9OlQVRUFjz4aDor1+ReEWkuqqup5hWZQE+VLwtnjBStXxlQOmh5xnDVOEh96DByY6CJEzeLF5vd17vvvC+P6ovVF4XDqqQX2kWJg69atOPPMM2v1HDxiUQKys7NNSoCI3NxcJCcnR7T69+/fH9HaJ+Tl5XHje71etGjRwl2BHeLRNHu3vIMHD6J58+b49ttdaNJEv3irPiFWQ6ThKfPBoK4ol5UBq1fPdHUBjZVjx47hsccew65PP0V2Zqa4b5i205EfaYEQkyQZU09amiQe2e/WDTO/+cayPFNyciJboLRnUKhpMD9zEoqL9Wc8paICaN0aMw8diuFOOCfACP0xG0rx4Yfm923Kzz8j3PRhu1EczAq4+8gRdJ8/H7tuvBHZbAuhoAAzy8sxZf9+648EiGwJi8zdvNa4035DkXmdtgpYmePZyZCcjG6warXzuheszs+DE393URG6X3QRdv33v8imvPOF8J6NqLJzUg6rfXr6ZNaSR1vrAOxPK8Abb9R9/ZiTMwXEJ23uXOP8N988Re8BC3UV1CApopeD98kkJwNHjhzG6acX4MCBA2jWrFlkpFri8OHDaNq0KfbuLXUkyNm0+flNUVrqPG2fPn1wxhln4Pnnnw+HnXzyybjkkku4joH33HMPFi5ciE2bNoXDJk+ejA0bNmDNmjWuyusUR5aA5NAH2ayZrgGJrI08J1mn1p7cXJKHgqFDX4Kq/uYsYSPllhtvxGOPPYbspk3FFRvbt0n+Nc0wJWuabtJOSjIW0fF44C8u1iffAYCdOzFxooKXXhL3I2anpxsVGa/iDL0UN3dbh9PvVHDJJX5k5+bCX0cKAADQIvn8VRo+/DDyerIzMvThfexQMofNhuzKSv0/LS1SCQhZb7LT0sz3KDVVnKGm6fdU9A9E76Qj0v+JcPd4IrsaaEFP0pPzExuw12tsk+4Kko5OQ19LcrKehndd0VwflSY7dO5sjwfZHo99fsSXw8oPxE0zUtQdwvPxYCtX6p7PfDUxDaRDh2Zi7tzI8IyMbPh81LBDrxc12Um0ryMA/ohJQwdKzCx8sVgC3HDHHXdg3Lhx6N27N/r164cXX3wRO3fuDI/7nzp1Kvbs2YPXX38dADBp0iQ899xzuOOOOzBx4kSsWbMGc+fOxVsu14dwg6uvi/eeWhHNdME9ewITJ07EqlXAihUboaofusugsWA1yxKv9U9UdDLEiW7ts32d7AOurkab//5Dn50suBNYvRpfdvpz5NTCdIUmcqT68UfMmnU+VqwA/PQEPXWIR1WxYoVe9rlzFVx3nb49daoC3H6T8xfczsucfflLS6Hk5QElJeJ+Zd4zoJU51mGNYNfyFCHyERCNGCCLQ/Hyt3I6ZFsDorgVFea+c97oA4KVmZF+F8n00WQlPl5+VveLd8zOedTu/ouUADa/UJ5kVUBlwgSgrAz+d9/Fnj0K+vbVR1g9+igwYEDdzrz6+ON+3HqrguY5RnmTAKR6vfB6jXUGeK9stHprvKgrJeBPf/oTSkpK8MADD2Dv3r045ZRT8PHHH6NDhw4AgL1792Lnzp3h+B07dsTHH3+MKVOmYPbs2WjTpg2eeeaZWhseCDjsDiAmlN9/F5tBeI0/q5tmNYaUfPezZgEPPrgbqspRQ21Q1THQPdEro0pfX1HVXnjttYtxfstPUHDhhSj98kvDEsDefFr4E4FPTP+AWQGg0/t88G/bFs5KadYs0qFp2DD433oLc+cq2HnnM+bZ2Ogy8PbPPdfxkqu1ifLll8Cjj6L9iFNx3XV+KL/8os9sxRvGRbZFhI7tLitDwfz5KL3uOmRbtfCdmplFgt7OTO7WdC7Kk+egZ7WiH7ttN3cAG9fJtME0otUZqfPtPngQBWPGoPTjj81dZ6Ky8CSV224JGqvnwwp/WmIGAvC/9FL4kDJhgjFFOD3fQTCI5cWnYvXqxEy/PmGCgvZ5lRFKUI03VShsozGtxwMiy7ZuLQ13bTvlyJHD6NSp7stc20RlCYgV1qoo4vbbgcLCdlENIVy7tgu6ddMd1+fMcZ++/jIEV3f9H3aXWjwI1lWXbvET2H02PQ1dORPzTsiJbuedz4gX42DNpiROfRkNEgwCd96JnVf1hh9pkT4ArEXFKh92Oxg0zOpu07LH6XKJtoFI6wEPURy2ucazPtCteisTn8gK5ATeUr+8stmdly4jPWyU/HgKkNU1O7mmaKwvbN50GVlI1xnnuyosBFavdnb6eDN9OjB1aira58FUdtoqYKXbJoK6sgQcD7h6FEmh0ZUsNUiK6aFa3dxLLwWWLVOwebNzLXfiRCU8gVx6OjB4sIJlyxrGIkVjx/r4XxCvC4DX4ufdbI75XunfH35Sq7AOYiRObm7kCnG8MvHOlyCUr782KyFer77oUIcO4ta/ldBhIeZyMkzSaTpRuEgAuu2XZs8RyzPwevnLFQPOnRLp8nC6n7iKAInvND9WWWEVLpHAtytfLEqOKB3Hike6AABmaWA2r2AwvGxGIsjL82PWLAWqmopsHyK+mSSvF6lemMblp3rtZyusTaQSYODuTWbvXOglpL1D7b4N9j128j0NHw4MHKiEJ7gYN05BTo5xvKrKmPzi1luViHxPPBFYtsz6HMcLby6oAb738is3u7eUrkjtKmv6BtOLrliZT9nyiBBMlFHbKKtW8ct/yinhBYT8LVpA2bePbw2wghwnwrGiQqwE2OVBl81KONHxnJSRzdfJeUTl5MW1WDOCG8euC8EKq7KK0luZ+dn+ebvzxEs5EFl/eDDl8r/1FpRx4wAAe/e6O228adrUj5kz9br5hDymIRK6t6axJA1Voh6HxNYkYyoSWhmggi2TO5Uf6enAlCkK93hKiiH8efmnp+sv5/z5x7c1YNIkBdjwjfuKxmr2NnJDaXM/YO7fd+Pd6eTj3r4dSu/e8K9b5zzf2mTECH1ugWAQyo4dRrhTBYAXNxjUveujtYM6FSgi64HbfEX94U4Fo90sgnbTC1vNOMgrg91UxDT0Kpu8FTetrpVXVhHx6C4IPc+wI+DkyUY3AIMydmw4PvF9TDTz5/sxdaqC1ODhyK4cQqL7AiAtATTxeRpMxUJ3GbBTM7IWTZKcPs5mzaYXHbMqWm6urig8++zxqQgUFChoveN/7lvdQGQaeoU8Tv9iRJ5kDQC24o1lti8yy2EdoaxaFRlIXo5Fi4x99rgIUVxWCbBLR+PEyhILvH5wN//0tt2iP1YOgXYWArv4dgsUicpM1g4Q5W+VX7THYnh+4fVCRBUlURhqcfhYNKxdC5x3GsQm32gkcJzhTdboJE1DxN3kyVE8OJ4Pgagu4kE3LOzyEUErHVOmKLjrrkirQX2mVy8F1577k/uEPBMnWS2PzAnATlZC4rIme94qeyQ9e04nBAJQevRwdz0x4B8wQN/gCW8y3JL0xZ54InDLLaYwrq8FnQfBai5VUfp4wftY2GfLxmPN4bwfnQ4QryHg9ZrfCScKAHmvrM5P8mTjMkvmRszRT8LIKA0STsdh49rdByf3iBfulFA6ZeJEfvcb79nVM2bNAr9s9agpbfVp1vVnm2jcKQFRSGPeIg21bYapqoocgsjmcTwpAhefe8AYGkSwmvucha3AALNQpytuEkdknhEpA7zz2XHoEJTevZ3FjSf0teXlwd+hg+EHQI7l5LjrBnAa7vQ44K6SFwl/dt9KmNH5iJQGp0sJ2ykArEDnlYmnUIiEsEghINskrRuh70bY2ylgTvPlYRGvvlkBAOCDDzZFrwTVEVIJMHCnBPCIgwJgVY/GcuNFisDjjx8/XQKDBin6YuBWHxV9kxw6FYWhK2u60q2qgjJ8uNFaZ88diyJAjgWDwJ49da4I+AcMgP+cc/QdMpVwcTHg9cLf3cX6GG66D5ykJ/DunZUCLhLYdvt2/+y21QQ+ota/SAFgz8fmZWUp4KW1+rEKrp0yFI3QdivYBenpeQFslY96iqq+Cz+ZEpf3zCT1itieiuChipZodFpnOq1Lo1UQRo/mOxjWR87z/Q8ooxxs2Hse7YWQ/ACjz58QqjT9n3wCAGZFgD4fm453DlEZ6bz27YvmCqIi3C0A6IoAZ6lWINTC6t4dyg8/8DOqyxfISgEQ7Vsdo/djVQBoIWvn+W81GRB9DlFePKXBzTWLljK123dLNOl5ljeRNY51qqqv0N94PSurdAw0iP7JuFAA4iX84/UQ2rWLTz51gsh04sakQmCFOA0r0N2O9wbMDodOz1uXRFOGnJxI7+y6uBYnJmLRvtNj8VAACE4UANF52eNWIwmsLBnsNi++3b2wIxph5kRxF1kXeGlEDYJ6xjffp+L0U1A/vn0GqQQYRNcdEEcFwMrXKtr+GCfya+bM+t8loAwaFBnoRINyerOsKhHRokR2FY/dGG03ecUbq/MJ7pm/bVtH8Vydyw1O7lsiFQCrbiA2jujD5PkSWJWV3Rad26qMThSHaEz8TtKI4oiUFTZNaN/UdVAPWbjQj8OB1HqprNBzpzn9ydEBNkSrAPDSxOoHQDdorazVxxWskCf7bm6Ymz7sgwed5REPgkEo+flQ1ebxzzuEsmqVqSsgHL5xI5SNG2vtvHHHjek61lavk0V8nOJmTQCnyooo3E0XgUhxsCIWJcEuTwD+Z5/ln8dtOesBM2f6caDMYg2NBCEdAw3i8ia5VQDcWLLjLcSPAysaAH3aXgDmAjspfDQWASDyRldXQ+nVyzof3sOJSV3OB3AghvQW5OVFndRP+wYQU2x9JB4vtlMhCFi38K2EfH3BjWIUq4AXEXqXarKy8eCDlHUyK0ufI4CTT1hJOE7YvRto3inRpZCIiJslgMat0zTvOG+YX7Qc99YAJ4K9FlRV//r18K9f7zxBjPayZs2uiCl9NPh79jR2LO6fv3t349ezJ9C1qzlCPO497zm7ybeulRPyvGP5wOq7jTUeLXwHx9k1tfzTp5un7pbEFWkJMKgVJcAKJzdSVKdUVzv7ucmzQeDkprrRzEI3UenVy7AGsGnoG2p1411wRd3rAGZcfOX+tDTg3HOd5+31wt+nj7O8Q8oGFzd9bE622TCre+BGMSFxnK5U6fRYLGWicWPxqG28XmR4KzF2rHnuEv+DD+qKANUlcLxZAQDggw/82LQ9o15JUakEGCTcMO7kxrqVL+wCZ8cbyvDhkaZAtluAUNstqTp88++7D6AWTqsz/D176n4BLit9/5EjQMiSoHz9deRxjtAnYcrXX0feW1Grk+0GcrNvt20Vxq7m5ySOqMvK6jjvPOy1iP55iL4Vq3uaSEISpnOhETR4sILTTgMQOGoE1pfyRsGGDcDJ7VBv7rucNtigzi0BdjhtsTvR0o7bh0YUgHgK4Hh+eKwVwAkOrqX99v/oiyTVAv4uXayP9+wJf/fuWLo0uvP7zzjDfXx6Hns72Ject8/GF22zrWerbgieyd8ujtvjNGwcXny7f1HebolXHk6tHoEApk5VMHiwgrN7VyKDLMJDxZ06VcHUqQqUKVNiL1sd8vPPfuw7lq3v1IMmtbQEGES3dkAt3g0nw/uslHv2GC2j6Ppl5Mj6N22wqo5E//5xLJdTz/FEQpfju++wfXvdnv7JJxWo6mVQ1Vug7NiBL3IvhrJnT1R5OVEElI4djfi0PwIvvy5d3Al/q7iidLxazkqIuxH0dJ5WikAwaO5SilUREJWNzdMJ8arrHEqV1MBhnH3K4UgnAep4auBwfMpUx8yZ44d/5kz4Z87Ee59kJLo4khAJtwS4lUVOvkkncQoL3Z23LigoOB3nY7k5kHcxbm6a0+FS7PTBVueKZiIhJwpJSgr65O90n3cMHD73QmjD74E2fFx46mD07Rt9hiNHWh9fsMC836mT2XTtVMPlCXgrgS8SkiIhyv6shDQtbKurI5UFNg9y3EpgW8WxKzMvjlV63j2jaahNwARy7bVLE3p+aQkwcCeCyZ1g+uSSUCOcKjjihJwRVmyY3Wy0TotK6lbS5Qjwux3rC2PGUDvsTRGNkyarAPIg6UV9wux56BvPm/2PF5fcWCfdAk6G1y1cmJgln71eoyW/a1fU2czeuxeqqgJ79wrjKJ9/DkCfttjftCmUdu2ArVvF/gAWZY54R+p7TUX8CJxA/ARihRX2rG8BKRcbl/WzYMOcnpOlvljhEoiqbgov25EIohHq9f3TihZXloCZc+fytW2Ylwx2Mz8HHRZtw9QJvG6BW29VoKrXRZdhLTB+fGiDFvhWE6fQ8CYWsdrnhQP8Gy+aqIS3EqGdN6bI+Y3K001XedxgFjFStmyBqv5f1NnNzM/X88nNhfL111B++QVAaL2C0DekrFoFAHgk7xk9Ea9mCgZ10zA5Rm+zP/aY1T4vH6u82V9Fhf5RBQL6B3XsmDgO3aqnzyHKg8Qhx+k82DhOykw+ftE0cfS9F4XRz4MnDdw0GRtjc7OeIS0BBu5FKu9OUBYBQJ88yKrBSSVxfGNF09K7gbUIAIDf3w6aFlu+8eLkTpVAsYWQFCgEnj4eqOpCAIAyapT9iWiLABsWDPJNMVbe6CxEMbAa62nxAmQseBHKlCnwz5xpcyFxZN06KLm5xpLNwSC0sdcA/a+Hf/XqqLP1FxcDjK+Af8CAyBkMQ/eBHVHgP+MMKF9+afQRW7ViST5uRw5YhVm1nNljtJc/YB4NQFsA6EmGrPIgx+lrFJ2HHOOVi9y7QMDsjOnmPtLwLC7RSAgnoxsE1Om30QCRowMMXPsE+J99Vn8BeRp4ONOasEIganASRLINEJvt3Vjk2AfNPsirrgLefrueOAlu3mxs81rtglZ8RcWZUNUbAAD+Dz5wlpa1KtA3NS8P/nXr9G3RtK70T7Que3q68SNWg5QUs8VA9PD//e8YbqRzwkI3GASKiswvzaFDwJw5UEirPo7TC9MKwP8FHwhvK19+yS8jETyBgPlHh9Etert9dtsqjHce0X9FBb+FT5eZxCH7x46Z47DHWQsAHcfqPCQ++ejZ+8e7JtF944WzebltTjbk5mU9R1oCDKJ3DGRfZvJP3S23ykA0p3Yan05DKwKZmQA9H05CIavV2Qltr9cQop07Y/p0PzZuzMeWLboy43/3XbMyQKcj2/Q/zWmn6WlpaFO/6JeWpv9EZacVBaIUkLS8chQXmycqiiMTJiimURhhIcvea0Afrnnppfq2wGM7FpT0dGDtWmDJEt1HoE8ffT2Dr7+OVAjo78tKiDkVaiJBHo0CIDq3SKCzQp8IczdKgSgPViGoqNDvX0WFfXmdHItWgrD1JP1c3eD1Ytq0etJwkRz3uO8OoKHNaPSLzJjYaMdBnkXRCfEwxdDnpbsGOnWKPe+4QFcSAtN/BGVlUMaNA4I/Yd68zli/XsGSJVE41YXOvam4lRFG33RRXz/bdWDlE2DXp0OuOxjU8ywuhtKjB1BcjC9OuQHLlsXHWbC9ei3a5+ZidWYmlH79dCHMdk+Q/T594H/hBQD8yX/cohQU4P7t1wIAHgj+H0BM/f/+N8rLFWRm+vXJiz7/HAgGDUWAp4CwgoQ1Z5PrYK+JjUuH0cechLHncRJG/nmTBMXSNcB2C5BjdHdAWppxzbzvSlRB8a6FTWuH6F7y4tmQRE8iJHFNNC37hmoJiFoJ8L/wApTJk5ncOBVp6EW3G0HAu8G8LuUYFWgu3bubLfEJ49gxo7ITVRAsBw6El/1N3f4T+nTMQa+pClIDh+GfORPK6NHitOwNpPaVCRP0ab4IomkYSeVr5cXNG3VAvyt0vw9dpmPH9JZ4MIiz/zsDdy5VsGbNQajqM+JzWaD06KGf95dfgN27oQSDADHx8yr5l18OKwBx45//xAPBtyPDH30UM67ajaTrFSiKX3cgBKCUlgIbNoS7D5TPPuPfa1pIOoEn4NljojA75QAQC35eGGAv8On3j519UKQ0kGMkLa0EOCmfSAEQKVsi3N5fO9zElXCRSoBBfN4kkbbPHuckE4XxJqWjG8p2xaER1V2kzjjzTGDLFgWaVsfD0iiaNVOAivcNARkI8PtNAOsK4NAhpAYCOJzTHsrkyWEhptDj13mmyVDr+2Tfr1DuugtYssRZwZ0M42KP8xQBFo5i8cVFDwNjmuDUlxV8990nAA4BqISqbndUVP933+kbJ57oKD7irQAg0pqgbNxozBC5YAFqhv0T6Hc7/GvW6PGbNgUGDICyZYvhtOhmjKsTa10siFq2bi0KdFg0Ap9Xx5D3h3QHkO4CkfMiT+jzysqz1IkqHdG9YpFCvU6RjoEG8esOEB0XHOMJdFYB4E30FY0lgPd90nWJz6d3+7Jd4XVJVhZ0YUC8l+k+9Kwss+CmK0oacrysDNllm/Cf4pMjj7H/pA8V0PPcsIGviQGRrU2ngkRUIbJ5i47T6Y8cwbdXPABcGjreqRP82+yLUG8591xg5Urzc5k1C2C7Hm6/HVBVfivUDjuBZNWKp/OIt9LAC4+1lcvLh7zHgQCQmmo+5mTdAoJVlwfZtoK1fsR6nZKokZYAg6jfQmXiRAe5R77sPCHuRPjz4rPbTooj+l6PHXOeT21w6BCAnKCuCFRVmSwB/hUr9Pv9/feGYlBerick8WhCF9munRHk/+QTKIMGmeOEWv+m8dP0PgtpURGsBBJbJrobga1seQ+eTkeHs10HW7fqZn22DLSFw+fTW9QhFNIlAOCdoa9g8+bEWYD8R46EhxDSjoBkm1gO/J98AvTpo4c7ETq85xeLuZlnBhe1+sm5nJjWnZSDbf27pbJS/ydzFfCuh2fRsiurE6VFJPhZ5YK3bUOdD6OV1BoHDx7Ebbfdho8++ggAcPHFF+PZZ59FjsVy0uPHj8drr71mCuvTpw/Wrl3r6txRKQFhBcDKVM381yApwgJNtoFIOSAS9FZdAtFqal4v0KxZdGnjxZEjfryZp+DKg7MN34BQ4ZROnYAVK8yOT0eO6NusEkDdoBPK/gNVzYKqlpnj0jedCPxjx/jKgFtEygA9NpwOd5IHnRc5RvLjmWrZNIEAlJwc+EMTQviDQaBDB/14HSoAyi+/wM/pilBKSoDdu3XrD1N+5euvdUWQrDNA3bfwioRbthgjSwhuFDSWaJQFN0qClbndCdEqAzU11t0AgHUXhNP/OkS56y74H3+8Ts/ZEKhvloArr7wSu3fvxpJQN+wNN9yAcePGYeHChZbphg0bhleppVdTU1Ndn9v1G6tMnmwWPA5eetohkHcjnSgAVq1/JwqBnTKfkFnqGObMAa68tMIspFNS9MKxQvRoyDu4vDyyFUal37Pnr3jpJb+RH+tswVMAyDAoOi8rrEw4tBLAKgCsgsDDThFx2rIsKoJy2mn69ubNQNeu8FtM7RsvlPJyff4BAAgG9ZkDO3XSr7m0FP7MTPhbtABatNDj03MRUM9A2bMn7ABK7pvy9dfGaoRWXS5OBJNb4eUkfjSKAFtukaAVvRe8Y/S+yJeAtTZEqwhEg5Uy5SDttGkKbr4ZyMtLnEXreKM+KQE//vgjlixZgrVr16JPSLF/6aWX0K9fP2zZsgVdLFZATUtLQ15eXkznd/XWTrnqKmdjpePR5wVnwt2pRYBnmSTEq7szVnw+GEI4Jwf+Y8f0ceSHDgHJyXoLNsR1pGIrLweSqFEXtCYVDKKN7wAAQOnf31gghyYYjLQA0MecLhtMm995kG4Msk0rNVbvi1OTkZMHuG6dEe/SS2vF8Y9GGTcOpgnSyfVt3WrEGTECOOUUPeztt8VCkSgSPIhjIYuDF9vfp49ubRBByhGlyVoo1FjFjddXZ2eCF40oIPHYmQXp99PKqTBaRYC9Lrt/9lp5SpADkgJHMXBgRv0Y4XScEIsScPiweRXHtLQ0pNFDT12yZs0aNG3aNKwAAEDfvn3RtGlTfPHFF5ZKwMqVK9GqVSvk5ORgwIABePjhh9GqVSthfB7uJgtyOlmKRcXMe6+jXdDHqQLgJA1VLycM0tADABw6hIICRVcA6AlPCMQn4MgRfZs3C1sggOF/bq7H277dCCdfAJlQhVYAeAoBvYIcDS342R9v4pWyMv4EMOzEL7yJWWgrhhsFgI5Db+fmOngiMcLWNESY0r9Fi4BHHwX++U8jDv0vShdC+eEH+Lt3Z14eRF6v4Bf2MeDVit7QokqFhc4Ek+g58J4BG59XXru8AGdLFNfURB4TLX1MEK1myPvxym/3b7dN7zuQVgMHAnv2yAmEnCJaRsLqR16JgoICNG3aNPybPn16TGUpKiriCu5WrVqhyEL5Hz58ON544w0sX74cTz75JL766iucf/75qGBlhQ3ulAArqWvxotKzBhJ4dQk7k2w8u9fYBi77fbn0pagVwt26ISF67ea7w4LQz5rMyRtZWWkIWFbIBgJYsuRTPR4RshUVRjwygxot8O3gVUxWlRetFLAKAtlmZ3vj/Ygiwvt62TKw7yJTNv+JJ8L/4IPOrjcG/G+9Bdxyiy5MTzwRfuKHYIeTD4AcI4o56c+yEzCCn79PH/MUyiGWLlXMyr+dQOI9Gyfl4uXvVKhaCXQ6P9YxUJSOztdu+WS3ksTJfeAJft59pxTC1k2O4t57I6PUV1R1T6KLEDW7du1CaWlp+Dd16lRuPFVV4fF4LH/rQtOzezyeiPSapnHDCX/6059w0UUX4ZRTTsHIkSPxySef4KeffsLixYtdXY97MRsM2rcGOOYvu1kD7eabEVnSHCjJ4XzZUUB02u+/1ycNSiS7d1M7VOH8mZkRcWenp+sbtBMhTdixLzQ2nvgO0KZ4Aq9lbeWxz4N9GPQ+++CihVexiypLQTjPMa828S9bZjghAiZFgKwsaImVaZyGdSoUCUwbwgsWhQTRF7kXA7sRfb83/bGy+5xtf9u2AEIjOPbtE9YnEf9WixexioAI0ZwBbpfJtjL/O00nuncWCmK7dkB+voK9e48H34DoZ6yPB8Gge99S8jiys7ORnZ1tG/+WW27BGNP68JEUFhbi22+/xb59+yKO/f7772jdurXj8uXn56NDhw74+eefHacB3CoBoo/B6YcK6y40IsvIPDKieFaKAO97oxUMXjfgwYNA9+6J/3C6dg1teL1cwW/mZgCP6g6CSUn8yvm006CqK/Rt0qKm++BpeBWlaKwmC09AcJ59RDidlt0W4UQREIQ7bonXEf4TT4SyYwe/m83Ji02Hde2qa5FWigCgP9v0dNMCRsqqVeZ1CkL5+smQRN754q0MhMKVHj3g/+473f+FOEuWlkbmJVIEgMjhfuRcNTVGHHZWQl7dxlMGRL4CbHy3iJ4vfb026VNRiRuu92LyzQrmzHkYqhqj0l2LqGq+yV2mrolFCXBKbm4uch10O/br1w+lpaX43//+h7POOgsA8OWXX6K0tBRnn3224/OVlJRg165dyA8teOaU+KljopYH9c92C/C6Odl1ZVjFV9RlSsN0m4bzJT+6yMEg8OSTUVxvLfDRn97QK5hQ5WfFzQcf0jfKy3Xz/pEjxi8QAHw+eAZQQo/0wZNuA/ZH98NXV5u7CqxMkbyH6fMZHusiz3WCE2FuBS8NL8/6MPyDx4kniu+z6MXmfBj3F98G5ORYfxhEePXubQ7v1CnyfSDQ3zG7zbO28H68OKL8rWaqtLN0kG3WjM/Gqa7m9/WTdFZ+AE7i8O6TKEwUh71eKxgl+4WnK6FV803UEh27x+DkVY4X3bp1w7BhwzBx4kSsXbsWa9euxcSJEzFixAiTU2DXrl3xQWhGu7KyMtx5551Ys2YNtm/fjpUrV2LkyJHIzc3FKCfLyVO4VOcdItLUgXC3gOBwTKcj2wS2ASpK+913ie8KUDp2BPbo/WR+Mj2sFaSSKysDQuPfTRdcVYUJE3QlQCkvj7zJbm+4VXw2X/rBumklWZg6AdinFykUWVmmyYLqE/5gEEq7drrjJu9jsDMlgzgH+pH69uuoHHEZP24wCKSkwH/BBZFlaNsWSiAA/PyzHoeyEoSfoZtWKe/cVHkj8mG2ldB3wNX8eel47xjdumdGzLjG6VBCtgy8ffY6ov13gDJ1KvwxOq01VOrbtMFvvPEGbrvtNgwZMgSAPlnQc889Z4qzZcsWlIasYsnJyfjuu+/w+uuv49ChQ8jPz8egQYPwzjvvoEmTJq7O7eprnrlwoT7sSQTvBeV8qIZFoPb7hUT1D43LexZ3lIICffheVRVQUQGlUyf4t9nMhUveyIoKQwmgKSvDK7l3A/vKzOF2ioAozKryEdnVaEWA98XxrAhW+dF50lD7fgdWlHoHcQYRVfR2ClQo7t/+5ocfPc1zDdDpmTyUVasMgd+li64EUGZ0ZdWqyO/XpgyucKpc8AQhfV1W2zRVVdwJmWLCiSJAh/Guw0k8Ub3KS09tT5um4MEHE9/VWd8IBs0jq52mqS2aN2+OBQsWWMbRqHo+PT0dS5cujcu5Xd2GKfQiNHZYNb3DJze6B6x+xIzPdhOIrKNs/WkV9vPPwEUXJe4jCSsAx44ZJvjt24XxVXWynobcR3ZIXadO8LdurQvD4mL+mvK87XiaJ8mDYh8WvR4C70fS0H039M/qBQBiMyclkltuMbZphaZLF8NERa7zD3/QhwQSRIKAveehLhrl66+h/PCD7pTo9epLFgNASQm/v4yGfg94x9zWknYWH15+rLWHVyb2/aUtArQZn8SlTfxsetFxJ2nZuE6+L6tvzu13CL2OvesuOXRQIsaVEjCTTGHotLIVvdDUy56EGq6vAPmPVRkQhRGinaMgHig9ehiC2q4PPky2PpRBVEFOmmTedyLgRRUr2beCXROAJ7g5wsi0n5ZmCP/0dLMAo+Omp5vzpH7+pk3rrcnfDv+KFca0wCzV1boyUFio73//PZRp03RFgJpXPGKkgUgR8Hr19+3QIfPHUFYW+XGQfKxwKpDs8nWjwIneWd73w5aP9RVglQV6Pgq23hIpAgS7YYSiY2w+sYQx1CCp3rrDJBK7qtGqymxouLMEXHqp9cdqdczqJUbkXAK8Bh75J4JbNK+AEwWA/OflAR07JkhTJhP4sG8ZO/ELxciRnC86GMSnY17Rh7+tWIH8fMXZ8DPRW82aTUTH6Vn/6CmBWc2NTHuclmY+xgp/IqTS0oxj5EenJXEpZUCxGE973EC9oP6QQ1B4vYO0ND3s0KGwoudv2xY47TQ9PCcHSkmJfh94mjGreIV+4bkByP6AAVByc3UF1e7jobd5CgQbhxfPSvFwooA4sVbwLAIAv/VuNUkQSSuyCLB50v9OcasAWMSpSfAwPCuuu25KQs8vlQCD6N8St9YAUZiFIkBvs3WNUwsxnYaXV1aW3h3q89WtIqD07i1+u0JjpVlUdTLmzYO50gEArxfr1wNnnqkA772HG9ZeK74ZNFaVOu84nRe7lgEvLd36JK14unWfnm4W/k66A2hlgLYKBIN6N8nxDFEAQuZ+ZfDgiCj+0GgCpaQEqnof/KHlL/0tWuj3cetWsYmMta74fIYTHgkDgH79gJdfNisO7PO007RFx6zi2SkaIkQCkXeMYCW0RZMExaoIuP23C7O4vvqsAKhqd2QHDyS0DFIJMHBhgyMp3CcJEwwa6ckdDVXgbL4kmI3ChpE5AMiKs3T2bFHZPAgpKbq1tU7n3t6+3dw3CRiF69aNO4/xpEmt0PzRuyPTeL2455cbgF/g/PnwBDz9b3XMakVAepvEYx8OjZvVBXnX4PWG14H279rlPG09xN+lC5QtW/SJckpLgZdfhuL1hifQCeP1AoEAtImT4Qd1rGtXfY0BpwKUaS37e/aEkp+vT6lMO9A5aak7eW5u0zmxLLiFrhjcLiZEp2fnG2DzjKVcbBhbb7LbvLRMNvWLc4CKw/bRapH6Njogkbj7mpya6VhEwp8+Fvq3m1mQl4zt1+fJG9H3RCgs1OfePnKkjpwEec4IvIKJoPtCeM+DF+akUncq+Nl82HhsXKvrFZWXF59cAz0DVHq6Hh5SBo5XlEGDgC1bgB9+ED9XwBSuVFTAH1q8xL9rF3DiiUbrnonL2w+PpiDh69YB//0vf14FJ8oADausOkljdT6nuEnnRhEgeYsUAfrcosWJWNjj7PntFACrvFD/FABVvQ9aSSkO761nBWvEuFcC3LzQVscsNFpaEWBPL5JjIsh3yrMm0PkCup/VkSPO8o0brCD0evVK2E16q4rVqtKgj/P+nbb4gUjhLyqTXSuJnMvNHNJkaevjXAnAggX8F5QHua9lZXoXCe+YjQLA5YorjMWMeO+MW8WN/WDdpncTL1bsFAGAfwwwWwqAyPfcSrjbxWFbQqLturpPMVBamgwcKku4dhIMAm7diOqbQhUv4vPWOH35eFYAsi9QBER6g1uIdeCll/yYMMHc/0+KkZMD1JlFmczMR6CF7rFjUAoKIszbL/j3A09Q8YHIqRXBHBft88LpPFnBz2vpA5EtfLosdD5WZbAql+jLI10MgL7sst28CscDxARPXXNEVwAgvI9KebmhEDl5/l4vlPJy+DMzjWmq8/IirQBWgtvumYo0bidpRenc1sZOlVc7REoCOcbmb2cNcGLOt1ME6Dj1GGXqVH0k1KGdenkTbFuXSoBB7G9ONC8frx+cky9xFKS7B9yehvUZYBUAmjodSkNGBbCwLYoQysiRwEsv8StVttJ3YnLlVX6shz8dz0qY0/t0fDsFQgSrHFl9fdH0v9ZXfD5DiIdQ9uyJUAT8LVpAKSkxx8vN1f0IRO8Cj1BcpbraWKVy3brI0SlWFiQC7zmwC1PFIoDdpqPfIdo3RZSW9367MTfSlgL6vDx/Aqt+fbs4dLl49zUUluT11hvnQOXWW3VfFcr/JNHfrVQCDNxLcCuzfjSIrAHhEhrKAA+7WQdZRYA9JR2vTpVpWgngtR7KyqBMngz/Cy9A6dcP+Pe/9UqeFJSuqEQVP0+A04gqdytBTudLEFWgbpz+6GdO50c/OHplKZJfMAhUVUHp3Rv+0LKcxy3RtowBY90ANy1trxd+TdOHFWqa7hRYXGzWhkU+HnblIdjVnDyTuJN8eWlo4UiXlV5u2em3IFJs6WNsGnaZUqtuBAsrqK2FQKQM8MqUYJTJk/Uuq3pWRqkEGET3NHiKQFRn50hhUce9gCQqH1ohYBVpVhFgi+316g2gZs0UHDxY+86Bfk2Dwl4r28/40kt63DVr9IqabWWQglu13O2EgkigkzydWALoMN75rSpYOycPXlx6lUNy/NAhfvrjCd69AqCUlPCnQ6bjspP/OKlok5P1e5qVpY9IIAsHESXAjUJhNXW0G0TxRfnzvIBF2r0bJcnqu2DT2inbdqsO2gl8q3j1uCsgrABI6jXu3h5aCLn10LPLjyf4XSgDgG4C05OJrQNW/mY+nz7Kas0ax6eMCsXjMbRjG+VHyczUFzegzWm0cCY+AU778e289Nn8iTXAiSlXdH4rwUSHZWXB/+67UIYPN8ehlSQ6De2EVVGBW29V8Oyzx/E86W5a0+w9ZZ+TlbmVnRqYfv+cvjOxlN3qI7Q7HysAreISrT81Vd9PTY10onRTBtF35cTvhecfwBPgTvwESDyr8yUQVR2A0tKBQPGv4kgJLnd1tXtLgBwiSHDrlOLUHOigW0CYH+tU6PVGKAJOFObaVKpHjlRw+roX9fH/pNXKClfetZWVAfv2Gfu8lj9RAOhKyqqCcmoRsLIGiPJhW1puWqZZWVBGjRJXjuSfVUZDcZv/+x/256jP8AS31wt/69b8+KH7q/Tqpb9TRMA5dcb0eqF06gTs3St24nRqUeAhmhvC6UdmF8+u3iHHyagRMjlVtDgV/m4rGjeC30k8hunT61oxPgfZh3bqm/XUUhGN8Vp2BwB6hfTqq+FdZeJEfYMV4CLsWvqi9Gy4A4sBaxVwYlQgk6HFm5YtFZy+/X1dASgudt+dwpozaeFKptwlx3n9+XQebqwCtIXBSSUnMss6FSjs/PW8e8RTAqi4Sr9+8AxNh6outz7X8YCNACc///r1UMiMjGw6UR7kPSguhr+4WJ9t0UrI2ZWHhbTSeco7bQngOfDRuFncg86XzotYArxe55YAq7LZ+Qaw8Xk47f+n41rlRagHAve111Iiv1NCPSgfIJUAGldP5GjTfNO+/6WXDEUAiLxLdndNpACItu3y4SgVDz7ox7RpkSMCSNSqKmM7END9ApYuVTB0aHy05z17FCgjvwE+3GAsFuQUVujTP/qaRcLfjdmS3Rd1B7honfk/+QQA9NY9c9z/7rv6sdGj+WXglU/kQ0EIBoFjxzBs2BCo6gaoamKnJnWKqp6LuXMvALbfH6HU2FkBkJwM5aSTdAWK+AUAQHKyLtxzc83pOAJM6d9fT8t+j6J3wgmiuQvYbcB5azFaywBRkjMz7S0B9D2wUoJ4SjWPaFYoi6X1zKStS8Glqi0BXAPTsiVuLEp1iFQCDFw9mZkzgYwMh5HdKAQ8oc9rQVilJ3GpvJ6Zo7cAjDUJksKH6S5QogwQ5swBPvjA/rROeHHMcmDRf/U+feIHQFewIm3Z6kf8AEhcXncAEJ8uAbZcorQsVjPO0ceslBE3FQeV5ye3LIZnycUA5jlPn0BGj74A15Y9E6nYWY1ZTUsznnlRkREGmJ8bmU1RJMBSUvjdU1YWI7vn4sS3h/7gYu2nt8obMCwBZGEqAq+T1+7a4mElqS0Yxa2uhVaPHjfh23/vBwIlQBD8+sJJo05Sp7h6c/82+QCys281AqwEvZuHbeUgY4cToREqB+kiSPXqCgE5RE7FWr1jRRk5Uh/at3270dLitbBoaDNvixb6BDCsAkBXQElJfCHvVAFwO15X9EFznp8yciT/WgMBKGPH6tc4f76+zcubd24r8ykRnMEggCx315VAgkHwR3tYKQGhJZf9Bw8CCL1rGzbw7wmvRc/z+aCJtr9bFIe12ET7oYksRGwYHY94qJOPnBBNKz1aJdVNvtGkZdKTOQLqUt5+u6EGKApGygH6n2wnWGmKxslPOgYC/FUX2FY4QeQF6/SttKtIROHU9vXXh1YHDFaaz+31Cq0DJNrIkQoWLoy+S2DqVAWY96LhBxCaBMZ/xhkABOu/k/+srPAMbv7MTGOZXLqydvoRsWOXAWeVsF0FGY2Zj30PgkFDAeAdd5M3JTyXe4dAVY+fUQJdu8JYYZFM1BNSApTkZPh53wyxBITwL1yoL/9LveOmfbp1TD9bJy1bK2tNNLD1hF0cu3zYuoVNS1r/ZFVEO6skWzY3dVEsiL4pN/efErB13uDmdSnR/6KwBBAMAqFVuh0jlQDAbIYO50A9VKsP2s0b6eRFoY7tO5aNOXP8+tSUFBmo1M1SLBbKAKDXlzk5wEknKfj5Z/fC5KSTFKQuW6xbAIqLTS0R5YcfxDOyUZWZ0qxZuJVnmiKXh2iVM9H85W4RKX52OIkXi0MU73xeL15+WV8e+njghx8U/OO5/cCHMLf86SV7yXtA06QJAN0R0k/GtHq9QFqaadIkpXdvey99O4fC2hSCVtYkp+l5edHYLbYlytMubl0oAlbPhPdLEP37K0Dgt8gDtWU5iRGpBBi4fypOtVKRdk43t63S2X2IVHh6OjB4sAJ4xTMLcs9J7ZOuAp9PN6NVVwOnnQb8/LN1liwpKQquLPwCWPeL3ldLdwOQczJTw3LLuXu37shECkP+edOT0ulIRUgrAjxrgPgCnMWjr6k2lQKRImChWLrxvQSAxYsV5OQA48cDJ54I9OihG3DKyoBly2rXovDsszBW7cvMNBQBymSvtGiha6Vnngn/Cy8AAPzbtuktfWoyFv/69RH5E4VAGTxYV0hprOaWEIWJqMsKXlQHWb0rAL8R4+Y8scYD7BVqO0XMobAnp5k5s/YtYh07Kjj3XOhdAQS6nLxrrAfTBkslQMfdl2tnrmIFPRuX1y0g+ihELzvn3Nmowdl9IZwrOzztMK98dNmgKwM+X1K4sT54sILx44E//5n/ManqdQCyMWFCNp57DsjY/A3w/VZdiIs8rp18yMEglG7ddGsC3acJmE27NTaKD8Fq8ROClQJgVXk5abHHIiTYUQE25/nTn4AxY26Dqj5jOqSq42H4ClQCSMbo0a3wv0X7jfMAwCHg1FwA7Xw45RQF69YBq1fHvzL1+RS0Lv3JqBSbNDGulTXTl5cDmzeb0vu/+w5Kv376EsQ5OfBbeLP6ly2DMm4c8OOPkQdFine8Tbe8fOLtH2AVL5rWcjyVBqtrdWKFYQWr4FeX/gCDBik4r2+lWcF0okgm2CoglQADj6bZ34rDhw+jadOmKN27F9nZ2XpgNGYe+q1klQBey9KiEqIFPi9bXvG4axAIvpQabyoCAX1p4aVLgXvvBW680SwISksV3Hkn0CbrsP4RFBUB27YBv/yiC+/du41WP+mPpM28vGuz+shJeHIydpeXo2D6dJQ+9hiyicXAbsZA3nGnU57yymRV/mjCnByjEVl2gkH85DsVY8YA69d/CqAKwNnQ9hwT521lmfL5cNSbjd27gXPPBW6+WawQBAIB+ByuRDVtmoKklcv1yWxofxteGUmrPSsL6N0b/unTw4eUQYP0jbw8oLDQdIxFGT48copl3vOMRgGo7YrdqRBlnuXufftQMGQISj//HNlZWdF1TUYDm9buvE6sAOSf9x1SSkAgADz+eO1aAVR1NEpLT0Z28EDkgmg29cTho0fRND8fpaWlhkypA4gsO+GEUiQnuztvdfVh/Ppr0zovc23j3hIgeKiOVqzypoY3ifk9Qhmg8hdptHb7JCxSPun5mZQBuoVJdw8Eg8jw+eDzJeHSS/W695ZbFNx4ox+q2h1PP30FlKmVurDfXqwrAcXF+uxrZDig16snpJUAq9aIXaVBjvMcNJ3gplvAKXbme7fKoptKnrUOUO9OZ/yEb94G4O0UCjsCgGMBcXIfAwFkIIDOuV7s3wzU5ChITl4MVV1nn1ZARYWCpO2/6mUhw/horJQVZqEk/4oVAEICfsMGKCNHwr9wITd55WlnIXXtf/jXbaUA2N2zeCh1PERWRTfnE62zwebvJC838BTkeCgC7DVY1Sm1SHX1yUgKHDX8rnhl4pXN6wUqK+usnDyqq91bApwaXY83olICRAJf9H7z6wySR6r+jnhTkYQak+DnGQtYrKYhJ6OgIuWSUf4k1ER+nOTkwSCSAGT7fLjsUi+6dk3CvfcqqK4Gkor3A9/v1oV+SYneuiI/0vonCgBRAuw+VqsKQlQZAnwnQNENsQtn7wVnISD/smWR8/vzsKq0Y2lh0mUUKQJW54nWThp6kZIOHYBW2h+epv0BPAtgB1S1rV1qE4/cvh/Yfci4r07N4hbvEJmcyQp6CtmwBYHN3y7MTpjF08oTjXATvQMigUSfz2me0ZSDhDm9d1ZKALvNxK/troCOHZXIxhS9LSovL34CCAb10dVukEoAgMpgEiqD4jvnRgng1eFeb5JJ4JNtetE4J+cj0LKRt6idvp1kKAJ0ppQiQPrkT84BPpoDYGuZYf4n3v9lZeYlS4lJmLYAkJOyhXei7bAXzq7V7havVzzkkC0jrdHn5PDTOA1z+vHbxautlqdVHkyYVu4FvHfh/odSAURhehVVkHZliVcFajVczsn9t+p7c5KflbXD6f1wIrzZxbZE8Rz6nDjGzb2wi+dECQhRF74AV10F6+fPWAFYq66VHKkLpBJg4Ko2CQSMybdMmThQpp0oCGw+tPDnyUyrvNnGFZGZ7Gy4unxOElsESF8X+QUCxhStpNUfDOoZ0+OQ6dY/M6Y74uLoiwgG9WNWJn/2o+MJc/JvtbQwfSN4x+g8vV6ga1f4n31WD7Pr92bzjIcgE7Xqnbagoz2HlbAKBvGA6sWmzQrefdeFIkAv2xtFy5CeX8H/1lvOz8vLO5ZWt9Nz2IXF8zgbTyCYwoisSvQxXn5uyuAWK2sG+eeUhwjbOmloW1ktKOFPN+gAoxpNJFIJMHCtBLCyjDicO4E13bPrc4iO814i3jYNkQ0cV4Nw3j6fYbkn8wQk0RFpwRwIGL9jx4yVyZKTjaF8gHkmNroLgDXXi8watOLBOozRF0u+IjJjIK+CsltPwG5dAPbDLioyz/XP3icWXr5uayenAiFa87RVHKdhgQBO7uTFrbcqeOON3ThwYK7lqZQpU3QLEqup2p2rtmp2u+cer3TRKAR2OLl3ZJu20LFxnTsW2Z/brnyxfAMWyrXIWbo2CAb1mVd594ft0uVZdROtBEgMXL2NFRWRlgC7RcBEcUUKN09J58lAJ4oAmw9b5wYCepnpNUW83lT9FaZbDbzWA0lEz+HOCn5eN4CTgtLKRkWF2TpA4hCvliZN9PNYTf3KKiKsUsC7PhpynNw8XkVk5ywWL4Fm1Yqj99k4boSZmzDqnM19QYwadgwFnVWoqio+HzW2Py7ligJl3DhjLQtR/vF6Rryw2lRw2Lyi6Q5wo5y5DXf7zHnHBMKfUFvzA+zYoeC++5jzUg7frOBnqy1CRUWtFM8x1dXuW/ZuHQmPF1x9eeXlgMfDf6fZb4j3LvN87yIKJJBHVoqAU62XVQSInD52jJXjqUjiWbtpgUOGa9EZEaFvNwyQDhNpPaTbgf2q6O4HAGjalL+qE11WdlIYVgGwKg97jLdNV5hu+ondIiob++JFowhEc26r8FjydHNel00+VT0Vb789Cghscpa/VRwnxFP4O43Llp1MG2yn7Ipw0yXgVgGK8h3gCf7abv0//bSCBQt0tyDefGeiHk2eJbe8vHbLakcwqMsyN0glAJEPXiQ/RPUwgX5Z6G1anori8/55IwScdlOQayJOhIasTEVqFtVKpjUd8mNb/LTw51Q4rLmO94EAgC8L8OWGRi7Q429pKwHJu1Ur8w3jZcorE/sgnSgqImVAZJaxqzCdvCRW6dnjVn277HE23K1wsInfvv0U7Nw501naeCgDDlDV5ujRYxT+1OsnRHz6dqZvJ7gRdvGyBDjJl/feWuVnZRFwIsDtFAGb78LJcOvaFvg8VFVf54JYUHluTqzgF1lyE90dUN+UgIcffhiLFy/Ghg0bkJqaikPsXB7c8mjw+/148cUXcfDgQfTp0wezZ89G9+7dXZ3b1ZdXURH53vIszID1e84qAeSFEDVY6bh0et6oATLN6+DBCtdCzptmn/5VVxtxfL4keL0ZSM3x8d9qKmGNN9V8WGCloM1jrM8hfe/0n35+EpacDKT4gKxc6sa2bWvMNEdbCmjlwUIxsXxQ0SgBPOyUAJ4SEY1QoMtiVS6ewHOrCNjEv3xkJWbOtimr1b7TdNAXq6KH/vFQ1ebo1etWfPPPXwF4I++zU0XLbRndKAJuz+MkX7dKAJ3OrouLt+8kLLQda2te1JNTGwrC4sUKZs0yT17Kdu/yfrw6WloCIqmsrMTo0aPRr18/zJ1r7VNEmDFjBp566inMmzcPnTt3xkMPPYTBgwdjy5YtaBJaW8QJrr64sjJ+17PXaygITlawZfuLiLyirQBs45beFjnWBwLAa68pGDNGd9xn1+khZaBb/bQiQI6Tn6HxJsHrTYXXmwp4Aa/PLL+CAbNwZ8tMXzPZDoTSkC5/Jw1fUq6sLODIEb0COdo0H77m2fB6gaRgpdmBkVa3RcMUnVb+VooA74KZ9LwKLzzOmLWuiCwLToiXIsAeF8Wnz8vAE86qej6UiRxFJ9qWMIDUYs7CLQyqegCAH/757vPnLvXsBCetgtpQBNhtpwsIkffF6h1yUl6bfSsHvlgEeG1ZB95+W8HUqXr+xB+aVCdsg46u1610/ERbAuobfr9eT8ybN89RfE3TMGvWLPztb3/DZZddBgB47bXX0Lp1a7z55pu48cYbHZ/b1ddGBDY3IwtZwVMMaAWAllekaz0z02xdoFv/vBeM/D/3nHEOMmmfqJzssEG6jGzDmVeHOZFV7EdCC37aEmA3MoJWVrKyDI38p5+A3FyiQKUiKysVWTnZSEWlWbsIfbVWpkaTUKZhBHn4sMkowhk7SsXhKzpk5cZU3Q8DNZE3zGnzhldRu0nvBFHTS5B/KiJnRdNKups/ohiEv9W544UyebLZkRGIXhlwowi4PY+FQkXe2xokhYesCZOHJi0LSzg3irIgjP3m7OqNaB9nPF4llq+/1hWAnByzHylPRxb5AfCuJ9Hz8MdiCTh8+LApPC0tDWnE76SO2LZtG4qKijBkyBBTOQYMGIAvvvii9pSAQMB6bKVI8Sc/ujuBtl4fOWIIRiLkAoFI/zpWPrBh9L9VGXnCXXQNdlPri85BYD8O2lrPfjR0GvKjRwmS8qSkGErDL7/oo83IUvRpaUCzZkBWli5YSV1WdZBvdTDfk6RQ/qncRq/d7Izs9dspbqyimJ5OLC6Al6cU0P90wdibTsJjrRXt8uDdSKcvIL0fS/lqm9pSAJwqAlEepwUvT6FmMT/qkHLqTY2c3txh2Zy29q2ydfp42SLGUxn4wx/0/FgrMDsgiecLQJeJUH8sATXQNLcD//X4BQUFplBFUaxHA9UCRUVFAIDWrVubwlu3bo0dO3a4ysvV61JVZRYEVtoc6yvAs8SRUXDl5fpLRrz0y8r46+2IPh5R9wAPWpCSffY4u+2moUIrDgRa+JJrtvKcpeNWVflRUaGY4vh8Rp/azp3GKMGsLP1XWmpsE8hoQ2J1oS0L5D6T+0L3HNDlov/Z+yRSrNiKQdQK83r1a6LLoftEMEoBnSl9MlEr3aoGjgXejeC8oMrUqfitOBW7dunPCTgcmS4e5Ygjq1YpWL7oqDEZFsHOlB4tcVIIrFrcZN+qscAajkzWqpCli7sImcNzOzkWDfSrGAzGd3ggUQDINjlfMMjvsnViBQCsGxR1Q3Xo5zYNsGvXLtMCQiIrgKqqYTO/iK+++gq9e/d2WQ4DD2PO0DQtIswOV19udTVf0NoJXVbwEohAOnTImHWXvFy8EXdsvjROLQIigWU1zJ53Pl6+vPxJWXjz//AEo24ZMb84aWl+HDyohMtDFAlAX7qgtNSsBGRl6eY78pGS81ZUGPfZcH40LAjp6eby21i7I54t63bAqxhEkyEa1gDzM6fzJxM6eb2p8PqYSln0QrI1F1swthBW+7z82XNxzFVtcoJokxOKExDcSF55HOJ/9VXHcc88U8Fpp+n3tKJC//bIu0FWgx07FvxlsEXUpgJgk7edcx0rkJzWW2x+EVYCQTyrcljFjVUoEv+meAtXeiAS+adlAM9KS/8nXtiLiF4JyM7OdrSK4C233IIxY8ZYxiksLHRZBp28vDwAukUgPz8/HL5///4I64Adrr9e0cO2qletLAFk2n1SGdH99KxAIPnxJruz+uDYF5G1Toha9E4mtKDT0uWiHWfIj1wfO+qPbB88aAj/6moFycn0vv6fl6eHBUIttEOH9AW50tLMcwwRawo5B7nXrCWAHvPL+xHliDcpFC34yeyLIiuC3fAhci95cy3xtkl8shgUsRgA1KyPbCFYiRCtYGPNUvQ5rPbt8rYTppz83CgAw4Yp6NYNyPZVAl7dP6RdO/1YuOsl7Kjitb9HvDLbaY5O8+Kc127onKgOECkBTvKItAy4Sy86BljPoOoEuuFClPp497UT52ggshHHa9iRsogg5Uu0T0AsSoBTcnNzkZub6/IczujYsSPy8vKwbNky9OrVC4A+wmDVqlV47LHHXOXl2hLA+6DobdGYfSBS4LIz8ZaXW49so03XThblI2Wj/wler3myPxIWC3QZ2QqEHQnAM5n5fArKy4HkZD+8XiAQUFBcbF0BVVToM18FAvr2sWORwpjU7cT3gvZLOOMMP44c0eNVVyuc1rf5+njXSq6Xvm67/kLWKkLyZBU8WgFgnzuvrHoZkyLK7CX9u+TC3VgESJgToWbXJ+U0H1Faq7xtOOkk3epTGUxFMOI7S0IquYH0ATeKDE8hcFpWCwXAzaqlTlr6td06ddMgAewXRhN9+zzFPNpXyw7WCky+cyd1sMSenTt34sCBA9i5cyeqq6uxYcMGAECnTp2QFerX7dq1K6ZPn45Ro0bB4/Hg9ttvxyOPPIKTTjoJJ510Eh555BFkZGTgyiuvdHVuV48vGNQ9KlnhzzPx8iyJbMuSbqES4UQ7CfLSpqfrFVlmptl8bVduuqxsa520LEXTHos+Uva8tFmcnqacJwB5prvqaj3PsjIlnJa01Mk99vsVaNosAC3DeZNnQn4VFcYkaSRf2gJAhO/KlcAZZ9Dl90PT9HMdOqQIZz2mhS59LUQRYJ8J+76wwyNJtzNdsZBz0soafV9F1ghaKaAhgi48GyT7gvJqT6tWLnthPBht1v/44wBCawfw4jklSkXi2Wcj+ycnTVIAhGbB9nEUAd654xEugopv189udUxkCXDq00THIe8aPceIHfT5nbT4ReW3e9TkdsW6qKgI9hUnlgGeEuDkUZM4iZ42WHfyi84xsDa4//778dprr4X3Set+xYoVGDhwIABgy5YtKC0tDce5++67cezYMdx0003hyYI+/fRTV3MEAC6VgEDALOydDAmhW7G8OpQWIMGg2VxOhAWBzNRL93mzXqps65WchxaCRFixVgVSRtEHafeB0S1XMqMwnYfV+Fk2H/aeEq6/HggGb0d5+W784x83R5SP3G9asPKUtQED/DjnHPG1ZGb6UVLCVwS8XkPRoPMneYu6BHjvDXku7DwLQKSgZx0Y6UooK4tvKaDvKam8fL7USEdD3r9b+y8glCxHYUzt7J8506wIiEzovPPbHXfJnDl+TJighLNL9dkoPk6PxYjdYjh2epdVPKv5PJzgVBmwUjhiKT+BNdrUNvQ3zDbOrKyGdJjTurT2qf3uADfMmzfPdo4AjZmtyOPxQFVt1ilxgKtXp6zMPNse7we4M7fxhsgB4jlviAIQDJqd2YBIMzGBFjZkrCtJSwSHaJgnb6VfEbQSQOYoYF983rVaIVqAQ1Qeq/kGyD876ovHZ58p6NrVfF1Mw5YLa21hj5EyscoJ3U3BQj9Tdr0m8svMNEZJ0FYY9t0gygtxNNSPpYb/vV6YhybSmbAXQ5s2bFrOGb4aTJigYOtWYPVqv/jm2NXmIoUhBrZuNaaD9fmS9G4TXteDnWUk1nJx8rMTik6FKcGtYzM5Hq2QdaJwuBH8BF6vTXIyMH9+fBcO0jQ/VacoEfUXz3JHsFpQrj4MEXQv1BvmWsKuXu3Dh43WFN2yBCKFm5t6QCTQSP1KughICzcY1E3aTZpECgPaoZDOh/U5IMLazr9ApNw4abVamcR52JnV6HT0fScjQqK1YPC44AI/tmxRwgoTYO4CoO8XmWqZ+CKwjoYi/wBemMgqAIhXPyZKXJMmhqWIhJM4tILGM2OajyfBNPkRc//0dCFrQrDS/GKKar6yMrTP9aJ9nhd9+yqAl5pIiJYy7MMSvZRxavo9+aSC/v0NM28gAGSQG8dbJYYtl51SEsXL58QHwI3gpJVPel/0T2AvTXQrnK4SblXOaOtOgtern3fYMAVLltTOCoLJyX4kJ+vfWkmJEq4PeX5VdkasxHcH1C9LQCJxVZPs26dPFsQTaKIXNxqrAIHkX1EBaFpVqNsgJXyMnaqYtOzLyyM/YNICZmfSdeJgyLtGUYVBCxNW+InyYtM7maCIDBG0a9nE0likFzEkZWPNf6xCwLbWeV0DpFzs+0NbBaysJiLhTQ+TZJ+taLQJnZ9Tp1OzwqdPJx1eX4L02bEZUNsZvhpwPz0rSUMrCXG0/f7zn4bfiUGSrgjQzU1ReXgWDfqh8vJwaFFw8k67rXdEdZeTd40HEb5W53JaZqeKDc8KQLabNeOniTfkOwWMf3KPeEoRUfAJbpfxldQerpUA1jEwnpD82P57TasGUAmgGppWjSNHUhAIJEe06tjJZghsHzSBbrG6KZ8VrJAUpReNohC1UlnIddDX46QS2b4d+MtfnLUUzjhDj7d2rcIstRypEBBYywzbh0+Xi506mp7QiK6YrfwFALPCwSoBrEJCOw+y6Z1ah9jr1M+hOx1WedP1CKQgrBYVwtTa9aYKJ6HhnpjcxBiVga5dFTRtaryL777rx6BBCrp0AQD9etiyRfTVR1xeqni2R6vrCf07GffPhtk1NGoErh9km529ky6ayMnUad0XjfXCLm9WAaBfiXjXySLy8vz45RdFeD76HpFvu29fP5YuNZyeE4u0BBBc1SL79yPsPc5D1HJ1K2RpJUAXcqT/phrAMQDVqKpKRVVVEjye5AjBy6u8edq+lZCOtn7lCXE2b7s6kdfiZstUGbIm61YScX6iRtiTTyrIzdWVAkWxVgrIx2sWeuIWNa/1bfdMWAXAaoElHnTZWN8A3o8uL4EoDcSixHuONOw75/MBv/+uHztwKAne1NCMh75IQRr5XJIslYEaJIWP+R98EMrUqdY3hEN1tYJOnQyLWEGBWbkaNEhBWprRsjOEjbu57/X7Ycz26FTJYdemcNKSdjLkjld28k7R7xk7PBnQn2l1NbiCy6kyEI0VwCour04hvPtu7XQFiLD6NoNBoyFB2L1b99+xmn6+bqhfowMSiWtLAN0dYMrIosJ0qwSQj9P4KIkCUMP8J0PTkkPTGScjEDCUAoA/0Q2v7LqlgfeAI99Uj8ds6xIJB8C9NYAV+DyFguRNBP+RI866D8i5srKAv/9dQdu2+n5hoa4QHDmyFcDPUNX/cdMPHerH228rEWZ+3vBKUg7e0D0W1h+AKAT0KBFWgbNSQkl3ECv0yZBSnr8Gff+ysszdTE69nsl1lpToYQcO6N+KoVQkmYQGayAQCVwzeh5TpyqAt8aZBKLo1El/3gS2y5+UlViX2AW2nAxtA8xmYUNJipy7gYdbwe9U4JN/dptWAMj7xjq2+nx6GGuEcXP742UFYOOw5Rg5UsHChXWjCNDPkf02yXNZvFjBRRfp5Xn0USX8fiVeCZCWAIIrJeDQId20xmtdWrVa3bSq6Qo/ENB9AcyCnzwIXQkwBLVeU+lKgb7tzB+hGpFKBpFW5rxJ/nQY7xz6+ZNQUaHHsVIEdAVEVy7oBZas1l5gLQJJSXoYb1VElrQ080iItDSEFIJO2Lw5GQBfCQCAMWP8mD1bMQk90VwCkeZy8XtAVyC8CZXomSR5FTvvnKRrgLTuidOiaH4Jsk/iObEE0JBvgCwwtmePfj3EWZEIWN41OxluxiqHNUjCg9On2ycMUVqqhHsn6POzEF8TJ70NomfAKy/vvWbT/H975x8rV3Xd+6/v2NcX/AMHHLARfjZ5JCKC9D0UB56lRmD0ICZS1EBKg1IqWUrSqClVU700rcIjd1sJSYkgTZUXpSBFGFSiRolCqgj6IAkJVZVEuCgoAQk3JiY2GD9++dq+13fuj7nz/tiz5qyzZu199jkzc2fsWR9pNGfOj733+TFnfffaa++tlatKNzu5D+2n9UqR45Xwffn/KNXox86lzLpU5H3qsoWoFHRf+bOsdYG+995JHDuWrZudjXsvlwcTAUSpR2ZubgEANULTBdFr4qHpeTU0le/d3HSj5pE31mSoucHm1phbwZDkpJo/z4N7A6QAqInlWNp+Xy8Yaq1z4vvyfPx19GKn1j7/hQW/f70OtcmDqNeB8fG0l3YRq1ZdDOd2w7m9wX3+/M/3YM+eyQ4RoBlVHrCpbSdCNbaicSg0VyQXAfV6JgTIpbu4mO8mKI/lwx/HJpri5eCGik/sdOqUD9Q655xMDGjnnTo8NR+MqgwPPTSJ227LutbKc5DuZZrIS6OoC6r0sMQix6VQkOXSlkP7cOT5UBn5QJFaPIrs6cmbjeiYKlQx/Kl50ZwBy80bb0yiVsvfO15m3qxH4pN7W6jyYwyekmZjFpkxI0PGjWWtXRMnIwYAc3O1JANFD3PmnpfGWXoCiJpYF6kKt6F9eT4yTU0AjIn0ZV41eEFSA7AKncJB5q+vc+7u1vdfta6pj4GYm6th9erMwNKwwfSi4t9luegi4ODBtXBuO5z7j+B+k5N74NynsbAwjunpVTmDqhl6rWkjRsx9S8vS7cjh3VgXF7OXEM2qKF3x9M1HQtMmTgkJF/6hMRh++1vfUWDDBuC884C3vjUby0A71yJk80sZIeCcbwbQhjPIN0X4b22iMK3WH/ME8OXQd8x7KPNIXS/TItFHy3ICLzJMWkwAPQP8WSAPQSiwN/Tf65XR146L5dtL/uVf/ORTmzb5/5IcC4XmLpDXNh/nQ+/2Qc8sZJ4AouRjs4js5skLQoZyDNKA+u59RbVnWTvmH5mfbL9fEvuEHjCZlhQCfJ1m+KVBJ4NP+8htMr1QeSRTcG4Kzm2A97ysau07jmZzCfV6PkKbhhuWRqrsS2FxEdi8+Ty88sp7AIRFgHO3gPfWqNczLxAha4RA+jwNmqHR3MJajYLKIJuVeJ40poHWzCJd17GZJEmMcANCzQG//S1w7BiwcaOP25iZ8YJgw4ZilzFfz5tUeHNCGfi48iEBFGomkCIndB8k2v0n5Fwi2n0IpcvLJfcJNT3Q/ediQDNUfIRS8rjw8ROAzJuknS8XCKmelBRCcQ9yOGP6z8vJx7rFuduwc+d5+OAH88/zeeftwXnn+X2ee24yVyZ+bT/60T0srb9BVukaJDZYEFHKTDj3AFveLbbW2IcrvZBxjNWMuUGO3SxNIMT20Yx9KA1p9PmxWu2f7yfT496BFNYA+F9wbh/yQoWXy7+JZHCX5t5NaYbJU9TZ+C2sPPPtMlGTBsBfdmOsiacWNQ5AertvZvy1JpwskIsbLz6Uspx/QHNNF7W1ckNCvRtomICXX/bLU1PZS3PjRv9bjiGhnT+dN++twMVeijFx7kr8yZ/cgB07srJSm788D+lJ4ueX0iyTgryG3GjzAalC+/PyAp1t0OTNkT1STp3y26enfVu0FAFydk0g/xymiGv5/IQ8VCGqzKqnHbNypR9afOvWt8K518onquDc/wEAbNs2iXrd3yMuMp5+urPbH7+2zv1vAL+A/6++BOceaqXbk+JVxHoHEF04kLix40ZSM/LcCJapGZcRADFBwIMKuXeh6Kby8+G/peGRMQp0DKndWPNBiBqA/47w+fu0FxezEQNDlGkz9G69lFlSpBcldN+z+91sLuXiI+KGLPUPx5+npVbAUf4a04ubDCA3ePyFXVTz1zwBvMYzPZ2JgDfe8Mafz5A5Pe09ATIeQYo2fl1owizyIJw8md6s8uMf39AeCIgMHTeaVHMNtSuHAjWLmmP49Qn95ucQC8IMNcXQdeeeHhIAPFaFeosA/lyoyYfHBJA44gIHyDcHEFqAa6gpLhTnkOqhK/rf8nSkaHnkkU9i377e9hIIDSBJsS5cZNN8MJnofBcG3wTAseYAostWJM0Ah2rC8jvlJV9U0+fbQ4Z9Hs49Cufez/ZLdQWRgS8qI53PmFhH59sZCJhGKP98M0kZIx+CG55azc9WCADN5ktw7pvtbc79mShH7F5ycSCX27mJ/bVluV9RXhmydktBb6GmAN5DI5d7wGvBYwFmZ7OX3vHjPmCTDM3cXF4EyKGttRo4GTNpPGOj+RLvfa8fE2BqKi9UpKGj5iTtuskacyj6O2bseVoaWnMAradvMu4cPq4Er8FTrxA+XgQ10czOesGstVuH5jCRnhOtB46MhwmJgFQPXSqha1qvA5dfDuzb1136klde2YOXX/ZziszNTeKXv/SxLrzXCSEHXgLG4f+f83Duz+DcN3pbuNKYCCBKNgccg3NvaS0/COf+GMUGWrrINaMQO57/jhlETXxQud8n9isSF7wGKw17mQdBHhM6PtU7INMGfO23gcXF8mnEanGZUVrfMvyzrV4DRefPxVBHjq3vkOHXfvP1sXPMti0u5l/S2gtKC0orcv9rcENJRgnwBn98PB99Pj3tjTL1WNCMn2yzX7Mm/5sf9973TvrJiFpMTExi82Yf4Llpk8+LPABU09VGmAzVWDXjH2sO0DwZcm4ReS9itX85NTedt/S+8EnGqBvounX+fqxdmxny+fnOoFEZvMbPhcrBz13zWEhhEOpREhJ92r5l4OKC39OZmUmsWZPmDbjnnsl2wN/UlB/Uh1+DWg145zuBXbv874kJ4F3v6rx28jnR3zE1OPdHAFz1kzZ6RslH73/AuZMA1gL4L2JbysubG+GyBpUoaiIIGZUiYxMSKLwtPmTAY+ehCYBYPIQWb6DVtDs72pZ1+8fI2tzPapfJuT9trZPnJM+Nl1cTBSnXQZ4zb3bhSO9C8RS0/OXN3eFF7n8tLfqmFyENUdtoZNHTJACOH88EABcCvBmCD5FMBovKIkXDhg3A29/u22nXrMm6IzYaeQ/A9HTe9S2vg/QM0Ldm/DURoM10Kb0asWYEbY4NLtLWrs2P78AN+PR0JgQWF7MxIXgzBuXpu9tmZSOBw9OT14Z7XRYWMo+EJgakKJDnBoR70ZQVBFI4atx6KzA7Ownn/KifGs79De64YwL/9E/h9Hi3bS4s+Yc8YTK+wqcV8w4PCvMEECVFwH8DsA7+YtAgPnqN3bnvwbmbI2nFaoyxY/L55IVFTAQAYQHBhYIWAyDTgbK+SAxozQVFcCOrlZW+l9qDb6xYUSth4EPllOnPi3WyLFWJNSOkoAmrJQC1oItbxgPw2koscCuG5kr2ywutMTTQ7j3B3dTawEU8HQoGBPJNGCQOJiZ8rT/LL4tJ4IZOvpQ1N76svWuGX9b0tRlEtTxCYkKWgRtsOmcSTBs2ZG3P3BsgRQAXAJQmCbOZmU4RwAUcz5+PGkj50f3Qxo8o8iTRb21AMDpX7dgqHgJeC5+YAP7hH4C///tJ/OM/fhfOPZfb96//egKXXQa8/nqn8Zf3hse28FlZuRAgbxctZ4O9ZZ7L4TCmJgKIko/YAvTgDnlx3mAu+JhxDNUIQ3DDFBIAMq+i9viQR0DzBoyJ/bpBiqCUZhJtW/6c00biyl8T5+4CQN13AOfugnN/hfz1leMolCG1BlDkUeHHap4B/1trHpECgNf2Qm24KYSMn/ZMNptAvT6Oen0VJiZqudEJtdowufA1cUKubq02z400d3lzgyzLL89FnlOZ2j6VQRp+WYaQeOBlWrvWezfqdf/NYyn4uVGTR2zwHBrDQcuTN3vw+xCaMZMb/aJBpYoCHbX1oaHAtfsdem5pBMSFBeAv/gJ45zv/EH/5ly/BOa8UH3poEh/9qO/JwmdYlXnI68SbmKgJjNaR8T95kiqKvALB39WD7iLYRPlo/4EPc9gXkl57jfY/42X4pgBeWwx1tZgHMC3WaUavDFxN8gdKlkcSEgIhoyMDGYs8FrIbpLZ/yI3N9w2lU4MclAl4pfX7JQCnIvmEoHN/Ac5dB9/t7xB84M4ftJYXoV9niTzfXrn6pEik60C/ebeIWu7TbK7AwkINS0uZUQy12dI45mVFAH8R03DaMzOHW2sOwf9XSDw1kYmWlajXz0K9vhJr1vjYgZDxmJ/PXPmnTvkX7JtvAuvXe09CUbczqhHOzmZl1Kbspv35NxlFbvw1AcHT5MadjqXfc3P5ZgkqT5YPv07+Wp08uRqnTmXnf/bZ3uVPRnluzq8/edKnV6/7azY/77efOgU0Gv6eHDp0CGvXbkg6Vw5dYzL2tRo6Rsuj3xI5Rn6oxk95aOnJexxqYtC2kedoYgK4+GLgu9/9Q3z608CLLz6DPXtewtSU9wLMzOjnLu/p3Fx2zUk4UfdbWtdoLMIPLLcIvVI2D8BHaza0TJcF8wQQK5rN4rrjvn37cOWVVy5HeYwhx4nOvfK3YRhGKk899RTe8573LFt+J06cwDnnnAPgcfjxWMowA+B6HD9+HOvXr+994QZEkgg4duwYzj33XACPInzhilRSzMVdhFYDDbn9ZZt5bF9JSg0+tF6r2Uv3tVyv1fhD6zVPwDUAfgWAP5C1wHIR/LpRbWwW2cBPJ+DcvwWPdu76LvMPEboG8jvkHUhd7pwsKk7omXoZPnbmAICzW/tRjYi8AlTecXhnHC8/L0+t3Z1wzRpfC96wwbvFqashjTlQ5BGQLvgywwJrIwNqXoB8rT5fe8yaA7ibeBH5eUFks9t467MawBps2OCvAw2bTfnIOICVK/0+ExPeyzI+/hKee+4y7NhxGCtXru+osWu1Z7kcctfLroySoiE3tLx57IcsT9HxKSNcnjrla/+vvupnhp2ayqYm10i7j/z5XkDc1d6A9wRchzfffBNveUvR4GS9IxMB/4pqIuCGM04EJDlAa+0nbQI+WjwF6os0Ed3LU9QWHEM+bFIEpLj/JamGX66LGRRtuUgESDc4X7eu9X02vNuZ6EWTC7nsVsL/WevI7meIs8XvskZVI3Q9Uq6XLIdMsyiPVOQzRc/72fAvGX49V7P9a+IjRZ7/zM+vwooV/uVOXQ4nJnyzwIoV3t1MMj5kLEIBfqFAv/aZBYSClm6sJ0HWD7+BzudoBbzR4NaSN/uMg947MzOr2sFuvAx8PgDAC4BGwzcPjI0BjYZ/Yc/NrQewPicWKA1+7WjwLQrAXLUqW0ejNlKwIf/WmpWWIrawVuvc3mxmH36OMl0idM80eJv+a695AfD661nsgBYnw+99NvkPb+snVsDfs3kUj6+yBH9fuW1Zbqw5gCjZCloustO5J1oBgimE0i07clzV7dq+WhBe2dq1FvBXNh0gCySkY7nIkUKnJo7R0PKXaS4BmIFzPyosnXPfbw3I1Is/tbxO8rvMSI/yXsraphZ3wL9jeWjrQveFoP9QaKRFLgrG0WwCc3N6dZIMojbeACGDuwA9up9/h5ZD0eOy54EmDvzEMWQ85Deg/yfoni+0yt3AwsIqTE9n++UnG/PH1OtjaDSyfXh3PxpOmnfL07royeDRELQPDxoMBSaGxmPg27QxLKoig0Wp2+r0NHD0qBcAr7+e7zqqlZPS8tda3jua4K3BPqH5ZTiDNqgmAogKjxm/EKEXZR3OPVkiHaLIhZSCVvOvevO0F5Ncp+1TpftjLH9u/EgI8HPjqpzvHypfjKqjG4KNzFgVzTBL0aMhBRKg3yegUxzQupDISiXkgQrNV0H5LLBvgIw/L3tICMhBdGTgo9btDyhn4OWyNhCQFAE0OA/lqRsP+pYvY+2ecaEw25qiW8Lv93ir/7+fmpvmJZiZ8U0rfIIfTQBwg67BJxmi6xPqccLRxIGscUsxUJaibpvUhY8EgO/GVwf/f2STveVSRvau4fewIT5cEPBjJYMeQtjmDiAqdBGch3NPAQCc+5+B/U6w7VXd+Sksh9JMEQKp+6YIiNAxDfGbrtsC9D8cr1lqL9lY3vxPvB7OvQ/OPdbew7kPAGjAuUcDxxcRervF5mQA0oyzHI9B5hdap3kaioRcbBAn6oIkyxvyFPD7tYTMPe7T8LM1rkKjUWt3iZuYyA9BnOINkOvksjafQ2i2QM0TkLmMySDQuXKjIQUAF2AaMaEAsT57vpvNcczNrWq73Kldm18jOS5BSu2/XSpWJDkZVVHNmog1TVTtrcLvA5CfJ4FEAPXl9wJAm0adf/P7xGv/8h7yZ7uO0P/HuR/Bud8rd3JG3yj5mM3AuWcBAM5dC2Cp5fKXYqDIHZ0S6NcLMVBUe9TQylvWuFP62uBAsZq53A/QDZ90uck3Nzdk8s9dVBbNTXYWnPsg8n/yIjQDzrfF0Fz+RQIgdl5SXPAyhJoNqngDeDpSTEmhFnreuSHj5fDt5gsL41hYWIV6vdb2BMixBmQwWmiiptB4AZyUJoJOt782eBd3H8uaI9D5rgiJXkqLw7uNcubRbGZBb/V61m6vGXs5FbCMPSgy5itX5mvw3FMQQvMEcM9CKvJ+aE00vB9/XgDIioT0TkkvgF/2A8J9AADg3A/aXkCqHHgbkX//OPdEa3nQtWrtP5hyzJlHKRGQFwBgy/KGrmf7lHHxVzHmZfZLefBCtcCY8Q7tFxslMLafTE/CDZQWpKO1rVI+PM2QoeMvZ7TK1nntnHt/wBvA04nloyGFQ9HzExNUMl25XqYf8j6UgdIjg8fLI88ldm68JwEZuXn4GhaJgXFMT69q9xCgpoFuKBIDmtcgc/tnBiJ/vtLoSwGgGXpO6NmJ3Rv6P1H0elYbjrn6pbHnHpYUo8zTDgXpcTe/5onQ0pRl1ODD+0oRQDNCygmXOsUa0TnID00B3Llfo1URzL+HMoNPvy+Dc1e3fs3oJ7FsVBm5cNDCpT+UFAHbkUU89xJZS6pyXIiqN07zYsQMeWhZEwLS0FQpG/2LtVEcQwaQaplFL10tDZ184GfIbVv1PDXPCE8XyIu20HlrZdAMPb8uIVFWBH958mNlW6nmqZH71tiHamcUgV2HDxz0XoF63QsCrata0szQEbTRAvNDT8uR4DRPABkT6XqWNX6+HLufRXTGttAsgkQZ139qrZyLgNAAUKG0qo6bIz00fHpkbdTGhQW6f6EKR6c3x7nvqHk79xicuxJZr7HwPXLuOTh3GfzAZIPGPAFEl/WGqqTW+Ktc9H6rtX4IgRRXt2Sefc8rZeJogXPyWzuu24e+7PGhpg/aFko3FPeQKnKk+11LL+SRkXD3dlGQZSOyTe4jhRx5BrIpWpvNWstDwMs11po4J1tXxluQN/pSyEhjLo0/X4fIeo72rPI8AP0/FsMf1zm9rS4EeGBgmQA9GVOgDQ1cxsVfFmnsQz02vNjQYrG4QA3V/DOcuwKd/5fws+zcNmRjmgzaoFpgIFFSBFRRT0Xppawrol83p0qUf0wIAHqNNfQyi10Lbmxi94ULDV7LTTGuMq8y5atCLzwGKemEmhxCQilVtMqXYajGq63Xfmtl5Ovk/SSPQec4CllEfY25oFOe7RTDLssbEgy0Xh7Hjy96RlPQrym5xcuS6jHQJqKKDd7TDbEmAT40c7i7ZkiMLRQa/ww+Bkx2r5zbAeAYfMzYf7J9NqL8vRwN7rzzTjzyyCN45plnMD4+jqmpqcJjdu/ejQceeCC37qqrrsIvfvGLUnkvgycg9cVetN8wqbCYN6Bo35AYkOIhpQz0XeYay1ptSpBmyrZ+K/ui9FPyD3lsaFvICKVAx0txllK2Mtu58ZciYYxt5/suIB88Jz0fRXk3EO4OFiqn5jGQAiBm5GPxNEXllf+3LL+5Ob/EuwnKCH0ipe+/RI4/wIVBFQEiKRoMCNDjATq7a8p72YDv1bW/2xK2vjWXf5ftUj2lSoW2f++4+fl53HzzzdixYwe++c1vJh+3a9cu3H///e3f4+PjpfPusQgoc5FSarmnEyEPAP0GdDGAgnUhQm7novLJsnRT+15Oev1MaNchJSBQGmSCjBaPqNbGYtWC5bR0Y2KLG/p59pvEgGb0eVxB6BxC+fGAP629P3QcEK75xwSw1oyWQkjcEUtoNhuYm6slDwJEy0BaTT42AJGEr0sVGaHeGnyd3l0T6OzWx8XAFJz7floh2rwK794n4975LHmvAKeMoOsnwyUC9uzZAwDYu3dvqeNWr16NTZs2dZX3MjcHnEmGv+hh1raXefn2ipjnQTIMf07pnizbTKKREiNA6VbxxkgvAuBfsKsD+9NyyFMQ89SEjKIUB7IJIRQLUhQ3wT9cDBQdS8fHfseO0/47seczFHcDZGM3+C5uzeYSFhbGsLiYFwOy/T82qFCM0ABE/DdQbNA1ZC8NeRzvIdAZx8E9OLTsZ/QrLwAA515ofW9Hueabbu1IL6guAk6cOJFbu3r1aqxeLf/ry8NPf/pTnH/++diwYQOuvvpq3HnnnTj//PNLpdGn5oAyF7dfxj+lDClGL1Yb0Wr8ZZoJukHWKEOkvOzLRsLHxE03LAGYhXM/b6/h3VGr5yWPiXlkimqfoeYTMjoyYLOoPLLGHNovBhcg/EXMDb70AmhNA1reZDRiA8P0gtB/pUovHQl5Z3jPhEZbDABZ4GRo5D7ZlS9GTADwtEPHFKUdGvaZyIy/NjmT9OIswLnvpWWezLDU9mNU7yK4ZcuW3NrJycmBzKZ6ww034Oabb8bWrVtx8OBB3HHHHbj22mvx9NNPlxIlXYiAbv78/az1D4PCLGoK6AWpbtKU/FNrmzLNXlHLjUiol2WpvW/3+Rd5GsrWcOkY3hwQesnIdbEeBN3+xzSDL0VhyOvAjXw/jX8IrVmgyENQ5PVqIt98kh3fbObFBhnaFStqHUY9tStfr+IAOPm2/dCzE6r1o+M7PQhQx3cPPB2p3jvg8OHDuVkEQwbXOdd284fYt28ftm/fXrIcng9/+MPt5csvvxzbt2/H1q1b8cgjj+Cmm25KTqevEwh1HttrunkRlTHKZbwBIbpVx6Fja4Ft3TQ98JdpP6nDuX+P7kGTF2WjUi6hu3iGftRQZK0Z0MdvCB2Xuj60PSSMpJch5CXg2+R3KJgvtay8jGWJCYGY2I6JAWk4a+I7X14vDjLIc1CEFA+9QnfxE9o90wQA4NzerssSFwChykfM83V6sH79+qSphG+77Tbccsst0X22bdvWo1IBmzdvxtatW/Gb3/ym1HF97h3Qr2CuQVAmSKmX7jAtnTFWFr4M5GvMy02qcT4kug4Vw2cyDM1ZIUcoy9bLJoUQYx15hctzdWBLajMNJ0UMxIJONXe45i6XzQbc8PGXc5Gh76ZJpmwcTWw/TRCEhANti11rTVQQZYRnrUM89I6G+ADFHhyw/Yr7/6eT8k4ctGc2RJn/Jz8mnY0bN2Ljxo0l86jOG2+8gcOHD2Pz5s2ljuuxCDiT3fyxh71fbWA8zTGxnratgh8whr9ke6G2y3gB5LmHrsWx9uRT3ZBipPP7P9H6vhb6eRV7JDrTfFL8lqKgyktGHp+6vezYE/SMaF38+u3uL/tf0Yx60X5FeXQjYmLEhEI37wft3srmGblfSCSE4lSqUmUslWGg/yKgDIcOHcKbb76JQ4cOodFo4JlnngEAXHLJJVi7di0A4NJLL8WXvvQl3HjjjZienoZzDh/60IewefNmvPjii/jsZz+LjRs34sYbbyyVdw9EwHK5dXrRFlyV5X7INeNfy23/27/9Of7u7wDn/i13ZPWpfPl9TD/ffA09lveB0rX/XhPyFPQmbS8K6vU6JiYc0uKEyjzPmpHjNXtJ0ax8IYEgDUk/m0+6NYxas4Dcrgmd0LukW4MWO69evbs0j40mBDSRV60XQDGnoxAYLhHwuc99LjfwzxVXXAEA+MlPfoJrrrkGALB//34cP34cAFCr1fDrX/8aDz74IKamprB582bs3LkT3/72t7Fu3bpSeXcpAk7fdp0w/XqYSYGfFdlHvjw6R37Lp6WxH34kr62RfbSHOfW8qQwLAF4S2w4o6dD+/y8x/TOFw/AeGiD7n/D+1DX4eTgm0LtaotbrQev5QUYw5AIP1S5D9FIodCM8Uj0A/a5M9NMohmI05D2TTQQnAJRrKy5frtNJCAyXCNi7d2/hGAHNZrO9fNZZZ+Gxx0LB1OWoKALM+OcpfmmRG1xvS04x/vPwM2814IfkDOXzQmvpOTG5Tyi/WLtiDZ3TtDbgJ695vaNmP+ia/jDh3OuJ+/0e0oUATRy0HrrB0wSB1vNDazrS0kilquGuclxRl8EyTQGD9C5WJVTr599SKMzCuR/0u2A4/YSAAVQSASYAyqO9lEKGX26vwbdZ513Z9XpxrtTtTpvXO3tZUr75/vn5dKgtfQnAdE/a9Q2Pc79iy9RVKNQRfaY1E9sOhKLZM0Ku6VDkvCRlXImU/AaJbBKQ3g8t+K8XoqDf4iImBDrjBHo/DgB/ViWnixCo3kXwTKNCF8FBEoverZqODLjrRfqhvFLzzpade7TrEnTbFt7PtnQjw7n/aH1fCd2YrodzO+Dcz5kQIEJGWDN0QLgbaMp/vChATytHKlWDBrsNDOynAOimeaNoW6j277+d++eKees4dw6AtxfsdToIgeqDBZ1pDPudilAr+MSOS1mf+seN1fJ9WfKR5NSlbxWyso6ry70QAMbpR5GnhYSA/hJrsI+GXL8kPr1iEG72WA0Z6DxXfs6NLj6hMvB13aQb24fOofPYXgsAz5rE/YbdYPbiXp8ZlBQBsk/6MJMiDrS291rgd0p62rHyeo0jZPT953U494NlasMzhpVQ00y2PfME+O6NZQRBL15oKS/5snn0oimhqM1cO/duRVDIaFdJI2R40o1/fylzj/olMHuBiQCiYmCgNjjNcpEqQkLlirW9hx7wMu49nt4Ysghxj3OPwrkPdKTRn647xulM5vbX4E1Gv18xhyK3eb/Rm8DKUcX1L9drvSrKEJryuIoQCKF1dQwf0x8vQLcMmxAwgJ6ME1ClTbGb9Lt5aYVd/s79e2RkuSpNA14AaC59q+UbqXghoMUI0Ms/9dkMGcsiQ9WtSAjlW7W5LRSUKI2vZthD76ay11KiBVuWjW2QaRXtF/L8AM59p0Teo0pVb82ZRx+GDe5Hc0FNfMtlIqTutbT4bzqOl11OXBNDEyrWpm/0Bh4joM/Pzul1zb4f3oLU+JuqQYLab74+lH7VlzwPtgzNyJkiwJbg3INw7o8jecViEBaWyaM4aA9SLzARQPR57oBu0Ax+1aA/jmaw6eYuobN7VpmHne87U+I4w0iljPu7Vy/qQbz0ex0fENveC28HpaONy1BUFhnZL9MN5UfLJ+DfN8vxzjndjT9hXQSJIRIBodqBbGPvxUMoawyzAPSucL7mtQbZSH+xF0cDNKhPUWCXYVTBuafY7G1F/4XU2vFykuIF6HV8QKoY6CZvnk4oxqC46dR7AYqMfwNk8MNTcPcLXoZBP0vdYF0EiQGLgNgLgdf6x9jv0JC5aYGA+alpayia1IaMuR99r8GO10bjmyk9EY1hlCXePDDM9FMApEAu4DKBhCmBfkXNCry5ICXP0DbfK2CwQcS9cIkPQw8zaw4gBiACYn98Weun5UwQlJ1BLkT5megei/42jEEQDhwkQhHrZY2tZjyHcVCYlBpqmWuQ8uIv8iSUMR55oz98QX587pPT3RtgAMsiAlK708laf369RdQbho5vItgGIDSPuGb0Yoaply92Lai3mzxS57Ava+B7GT9RJc3O+zF8AgDo/joNi2g0TwDRRxGQEvGrtffzdfMWYW8YCTj3IoAXW8tXsi1VvACp+xW90AdZS+xVF8p+lKHR0Y/fuVvY8jD28SfmkT5qoGRYBABggYEZPRYBZbrl0bdW829Yzd8wKpLNWHklYl4AHryaNSn0IpCwqNa/nOKgrCu+H2Xztc5YzX64DX8GiU3nrih55DAJAMA8ARkVRUDqHyVU6wc042+G3zB6h28m2A4axEYGFDp3JRMMT7Ve7BOtPUJt273o0x9j0O3MVfIPG3jnPnhGjgbq3C/Z8hWIX7NhEwCAiYCMkiIgtYteivHPrzcBYBi9h2Ym1Mn/l537JZy7DMB6ZMYwZBRDM2DG8zhdce6f4dwtpWvsZ6IAkHBB4H8XiQJjmOhhc0BRP39u/Pm2rM+rYRjLRahW8wZ8BPgqpNWK++0ZGATzABbQWVt8dTDFOe2YgfcoyeYlzqC9A+YJILoUAUX9/AG9zb8GP0DPAoBZG1jHMJadJdVL4NxROHce8iNnlnWRn64CoAHnvhfcqg0mZnTi3H+K39QkRQzD82GDBREVREDRAB/xrn7Z90/h3Fz57A3D6Jp4M0HRoDpyCm4EfmtU9Sz0l+HsjndmQM9avtfKoLHeAURJEVC15s+3z9pAO4YxpDh3KXxMgMaZ3/Zv9I8s+HQYnhVrDiC6aA4o4/ofjQAZwzidce6/AlibuLf2/y9zzPLj3L8ONH8jCyJ07pIBl8QgSomA7Ab+Ppx7MrDP+5AXACesLc0wTgOce6FVU4sFbQ06oKssVAlxgy2GkcO5AxjsLTFPAFHJExCbJMdc/YZxOtNA53TavaBXXoByIsS576BeryMb/8AwABMBGUM0lbBhGMNBrycGWt7mgliEv2F4TAQQJgIMw2jj3K9aXbo43RjnXsYBhIWJGX6jHNZFkDARYBiGYBbZlLGyd08Z+jW2wIL4PVviWMMArItghokAwzByOPec+H11ZO9ejBgY27fRsWxDjBtG7zARYBhGFOeebAkBChjshYu/eMIZc/Eb/aOB8nEvFhNgGMaIIrsEO3ctwhH3RaOKcuSLuGaj9xnLwPCIgBdffBGf//zn8cQTT+Do0aO48MILceutt+L222/H+Ph48Lhms4k9e/bgvvvuw7Fjx3DVVVfh61//Oi677LJS+ZsIMAyjNHzsD+fez7akCgCr7RuDZHhEwPPPP4+lpSXce++9uOSSS/Dss8/i4x//OGZmZnD33XcHj/vyl7+Mr3zlK9i7dy/e8Y534Atf+AKuu+467N+/H+vWrUvO30SAYRhd4dyjbPn9iI8mOGaG3xgChicwcNeuXdi1a1f799ve9jbs378f3/jGN4IioNls4qtf/Spuv/123HTTTQCABx54ABdccAG+9a1v4ROf+ERy/iYCDMPoGXlBcCmAS1vL3x9MgQxDZbHyMSdOnMitXb16NVavXt2DMmUcP34c5557bnD7wYMHcfToUVx//fW5clx99dX42c9+ZiLAMIzB49zzAJ4fdDEMo834+Dg2bdqEo0d/VOn4tWvXYsuWLbl1k5OTPR2W+oUXXsDXvvY13HPPPcF9jh49CgC44IILcusvuOAC/O53vyuVn4kAwzAMYySYmJjAwYMHMT8/X+n4ZrOJFStW5NaFvADOOezZsyea3r59+7B9ezY415EjR7Br1y7cfPPN+NjHPlZYHlkWrXxFmAgwDMMwRoaJiQlMTPR/LonbbrsNt9xyS3Sfbdu2tZePHDmCnTt3YseOHbjvvvuix23atAmA9whs3ry5vf7VV1/t8A4UYSLAMAzDMHrMxo0bsXHjxqR9X375ZezcuRPvfve7cf/992NsLN5z4eKLL8amTZvwwx/+EFdccQUAYH5+Hk8++STuuuuuUuU83eYFNQzDMIwzhiNHjuCaa67Bli1bcPfdd+O1117D0aNH2+3+xKWXXoqHH34YgG8G+NSnPoUvfvGLePjhh/Hss89i9+7dOPvss/GRj3ykVP7mCTAMwzCMAfH444/jwIEDOHDgAC666KLctmaz2V7ev38/jh8/3v79mc98BrOzs/jkJz/ZHizo8ccfLzVGAGAiwDAMwzAGxu7du7F79+7C/bggALw3wDnXdc8Eaw4wDMMwjBHFRIBhGIZhjCgmAgzDMAxjRDERYBiGYRgjiokAwzAMwxhRTAQYhmEYxohiIsAwDMMwRhQTAYZhGIYxopgIMAzDMIwRxUSAYRiGYYwoJgIMwzAMY0QxEWAYhmEYI4qJAMMwDMMYUUwEGIZhGMaIYiLAMAzDMEYUEwGGYRiGMaKYCDAMwzCMEcVEgGEYhmGMKCYCDMMwDGNEMRFgGIZhGCOKiQDDMAzDGFFMBBiGYRjGiGIiwDAMwzBGFBMBhmEYhjGimAgwDMMwjBHFRIBhGIZhjCgmAgzDMAxjRDERYBiGYRgjiokAwzAMwxhRTAQYhmEYxohiIsAwDMMwRhQTAYZhGIYxopgIMAzDMIwRxUSAYRiGYYwoJgIMwzAMY0QxEWAYhmEYI4qJAMMwDMMYUUwEGIZhGMaIYiLAMAzDMEaUFc1ms1m00/Hjx7FhwwYAuwCs6nuhjBROAfgx7J4MG3Zfhg+7J8PHAoD/i6mpKZxzzjmDLsxIkyQCXnrpJWzZsmU5ymMYhmGMCIcPH8ZFF1006GKMNEkiYGlpCUeOHMG6deuwYsWK5SiXUUCj0cCBAwdwySWXoFarDbo4Rgu7L8OH3ZPho9ls4uTJk7jwwgsxNmat0oMkSQQYhmEYhnHmYRLMMAzDMEYUEwGGYRiGMaKYCDAMwzCMEcVEgGEYhmGMKCYCDMMwDGNEMRFgGIZhGCOKiQDDMAzDGFH+P7pHhNR+yWFdAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 600x526 with 17 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x526 with 17 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot sum of contributions vs. full steric height anomaly\n",
    "\n",
    "fig = plt.figure(constrained_layout=True)\n",
    "\n",
    "subfigs = fig.subfigures(2,1)\n",
    "\n",
    "curr_fig = subfigs[0]\n",
    "# 13 tiles map\n",
    "curr_obj = ecco.plot_tiles(contribsum_hgt_minus_globmean.squeeze(),\\\n",
    "                            cmap='seismic',show_colorbar=True,fig_size=6,\\\n",
    "                            layout='latlon',rotate_to_latlon=True,\\\n",
    "                            show_tile_labels=False,\\\n",
    "                            Arctic_cap_tile_location=10,\\\n",
    "                            cmin=-2.,cmax=2.)\n",
    "curr_fig = curr_obj[0]\n",
    "plot_mask_ecco_tiles(land_mask_surf,np.zeros(3,))    # plot land mask\n",
    "plot_mask_ecco_tiles(too_shallow_mask,np.array([0.5,0.5,0.5]))    # plot too-shallow mask\n",
    "curr_fig.suptitle('Sum of thermo+halo contributions [m] at ' + str(int(p_top_sea_dbar)) + ' dbar,\\n'\\\n",
    "                 + 'relative to ' + str(int(p_r_sea_dbar)) + ' dbar')\n",
    "\n",
    "curr_fig = subfigs[1]\n",
    "# 13 tiles map\n",
    "curr_obj = ecco.plot_tiles(steric_hgt_minus_globmean.squeeze(),\\\n",
    "                            cmap='seismic',show_colorbar=True,fig_size=6,\\\n",
    "                            layout='latlon',rotate_to_latlon=True,\\\n",
    "                            show_tile_labels=False,\\\n",
    "                            Arctic_cap_tile_location=10,\\\n",
    "                            cmin=-2.,cmax=2.)\n",
    "curr_fig = curr_obj[0]\n",
    "plot_mask_ecco_tiles(land_mask_surf,np.zeros(3,))    # plot land mask\n",
    "plot_mask_ecco_tiles(too_shallow_mask,np.array([0.5,0.5,0.5]))    # plot too-shallow mask\n",
    "curr_fig.suptitle('Steric height minus global mean [m] at ' + str(int(p_top_sea_dbar)) + ' dbar,\\n'\\\n",
    "                 + 'relative to ' + str(int(p_r_sea_dbar)) + ' dbar')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "346399eb",
   "metadata": {},
   "source": [
    "It looks like this time we did a much better job of accounting for the full steric height variation!\n",
    "\n",
    "## Exercises\n",
    "\n",
    "1. Using the `lon_depth_along_lat` function defined in the thermal wind tutorial (and already imported here as part of the `ecco_py_tutorials` module), plot steric height anomalies and the thermosteric and halosteric contributions along a line of latitude around the globe. Since these anomalies have been vertically integrated, you may need to re-add the `k` dimension to the DataArrays before using this function; you can use [expand_dims](https://docs.xarray.dev/en/stable/generated/xarray.DataArray.expand_dims.html):\n",
    "\n",
    "      {array_name} = {array_name}.expand_dims(dim={\"k\":ds_grid.Z.values[0]},axis=-4)\n",
    "\n",
    "      How do the relative contributions of temperature and salinity look different when following a line of latitude? You can also see how the reference pressure impacts the result by re-running this notebook with a different `p_r_sea_dbar` as input.\n",
    "\n",
    "1. Look at the change in steric height over time. Download the monthly density/pressure, SSH, and temperature/salinity files for each month in the year 1992, open the files using open_mfdataset, and average them in 1992 (the first year in the ECCOv4 output). Do the same for the year 2017 (the last year in the ECCOv4 output). Create maps similar to the ones in this tutorial, but for the (2017 mean) - (1992 mean). How did the steric, thermosteric, and halosteric contributions change over this 25-year period, and how do they compare to the change in dynamic SSH?\n",
    "\n",
    "1. For this exercise you'll download the density/pressure, SSH, and temperature/salinity files for the entire period 1992 through 2017. Plot time series of the global mean steric, thermosteric, and halosteric height alongside dynamic SSH. For extra credit, remove the seasonal cycle (by subtracting January means, February means, etc.) to make the longer time scale changes clearer."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "efa632ed",
   "metadata": {},
   "source": [
    "## References\n",
    "\n",
    "Gill, A.E. (1982). ***Atmosphere-Ocean Dynamics***. Academic Press, Elsevier.\n",
    "\n",
    "Gill, A.E. & P.P. Niiler (1973). The theory of the seasonal variability in the ocean. *Deep Sea Research and Oceanographic Abstracts*, **20(2)**, 141-177. https://doi.org/10.1016/0011-7471(73)90049-1.\n",
    "\n",
    "Vallis, G.K. (2006). ***Atmospheric and Oceanic Fluid Dynamics***. Cambridge University Press."
   ]
  }
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