From 2e7e49f25a110c0c755f335d149ba36b2678c2ab Mon Sep 17 00:00:00 2001
From: Stephen Haddad <stephen.haddad@metoffice.gov.uk>
Date: Wed, 3 Jun 2026 00:25:43 +0100
Subject: [PATCH 1/2] fixed link in gallery to zarr tutorial.

---
 docs/notebooks/Gallery.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/notebooks/Gallery.ipynb b/docs/notebooks/Gallery.ipynb
index c5e74e0b..60d2a46e 100644
--- a/docs/notebooks/Gallery.ipynb
+++ b/docs/notebooks/Gallery.ipynb
@@ -133,7 +133,7 @@
     "| Transform-on-load | How to transform and adjust data at load-time | [Using Built-In Operations](./data/UsingTheInBuiltOperations.ipynb) | 18 Aug 2025 |\n",
     "| Applying data transforms | -- | [Applying Data Transforms](./data/Transforms.ipynb) | 18 Aug 2025 |\n",
     "| Geospatial subsetting | -- | [Region Cutting](./data/RegionCutting.ipynb) | 18 Aug 2025 |\n",
-    "| Remote Zarr Loading | Demontsrates loading data in a remote zarr archive | [Remote Zarr Loading](./data/Zarr_  |2 June 2026 |\n"
+    "| Remote Zarr Loading | Demontsrates loading data in a remote zarr archive | [Remote Zarr Loading](./data/Remote_Zarr_Loading.ipynb)  |2 June 2026 |\n"
    ]
   },
   {

From f06123944287ad739d7cc88b08d15a3aa8a4b467 Mon Sep 17 00:00:00 2001
From: Stephen Haddad <stevehadd@yahoo.com>
Date: Wed, 3 Jun 2026 00:34:33 +0100
Subject: [PATCH 2/2] Created using Colab

---
 docs/notebooks/data/Remote_Zarr_Loading.ipynb | 1724 +++++++++--------
 1 file changed, 892 insertions(+), 832 deletions(-)

diff --git a/docs/notebooks/data/Remote_Zarr_Loading.ipynb b/docs/notebooks/data/Remote_Zarr_Loading.ipynb
index 361391c9..6d20de89 100644
--- a/docs/notebooks/data/Remote_Zarr_Loading.ipynb
+++ b/docs/notebooks/data/Remote_Zarr_Loading.ipynb
@@ -1,843 +1,903 @@
 {
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "98164f08-4b2f-4600-b7d5-b4cc4284aac6",
-   "metadata": {},
-   "source": [
-    "# Loading a Remote Zarr file - ERA5 ARCO example\n",
-    "\n",
-    "[Zarr](https://zarr.readthedocs.io/) is an increasingly popular format for storing gridded environmental science data, especially when working on cloud environments. The nature of a zarr, with consolidated metadat which enables interaction with a dataset as a unified whole, data divided into separate files called *chunks* to enable parallel read and write, which suits a massively parallel distributed file system like the object stores used by cloud providers, makes it efficient and intuive for many machine-learning platforms and workflows. \n",
-    "\n",
-    "PyEarthTools provides a data accessor class for zarr files. As PyEarthTools uses xarray for data I/O, which through fsspec supports loading data directly from remote sources, it can load data from such sources.\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "f644ae8b-32dd-49c8-9c14-0a32c0840ac6",
-   "metadata": {},
-   "source": [
-    "### Set up imports for demo"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "c3f48f0f-6e4d-40d3-a88a-625f0d5a5b7d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import xarray"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "4e140303-a282-41e8-8424-9547f9159c26",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import matplotlib.pyplot\n",
-    "import cartopy"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "4e4d3dc7-e81a-40c3-b604-db49bf43847e",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pyearthtools.data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "ab4e3a1d-770b-4cd1-a57d-c678d1af20d6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pyearthtools.pipeline"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "51c6e404-a86f-4448-b9d2-37bb2b60f6cb",
-   "metadata": {},
-   "source": [
-    "## Set up the accessor\n",
-    "\n",
-    "Fore this demo we will be using the copy of the [ECMWF ERA5 Reanalsyis dataset](https://cds.climate.copernicus.eu/datasets/reanalysis-era5-pressure-levels?tab=overview) hosted by [Google Research](https://github.com/google-research/arco-era5) on the Google Cloud Storage system."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "5ded0ad5-7561-4755-82de-deee4f4a5417",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "remote_url = 'gs://gcp-public-data-arco-era5/ar/full_37-1h-0p25deg-chunk-1.zarr-v3'"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "2190d29c-899e-4f0d-8184-7db042c07d4a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "zarr_opts = {'chunks': None, 'storage_options': {'token': 'anon'}}"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "15ccfd12-75e7-404e-a623-065a8fc389f9",
-   "metadata": {},
-   "source": [
-    "Usually we are only interested in a subset of the data, so we can select a particular time, pressure levels and set of variables that we want to us"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "1760e80f-c43c-4c97-9242-69c930fed623",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "select_variables = ['temperature', 'specific_humidity']\n",
-    "select_pressure_levels = [200, 500, 700, 850, 1000]\n",
-    "select_time = ('2024-01-01','2025-01-01')\n",
-    "select_region = {'latitude': (-40,-5),\n",
-    "                 'longitude': (110,155)\n",
-    "                }"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "394c417d-7a85-4a8f-917c-5c32f6398437",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "select_dict = {\n",
-    "    'level': select_pressure_levels, \n",
-    "    'time': slice(*select_time),\n",
-    "}"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "bac39d42-cc5a-44ca-b0a1-908f61df54a4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "era5_accessor = pyearthtools.data.archive.ZarrTimeIndex(\n",
-    "       remote_url,\n",
-    "       variables=select_variables,\n",
-    "       open_kwargs=zarr_opts,\n",
-    "    remote=True,\n",
-    "    transforms=pyearthtools.data.transforms.TransformCollection([\n",
-    "        pyearthtools.data.transform.coordinates.Select(select_dict),\n",
-    "        pyearthtools.data.transform.region.Bounding(select_region['latitude'][0],select_region['latitude'][1], select_region['longitude'][0], select_region['longitude'][1])\n",
-    "    ]),\n",
-    "    )"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "74a39b7a-0a19-4db5-8363-5055c735076f",
-   "metadata": {},
-   "source": [
-    "## Using the data of interest\n",
-    "We can now look at the xarray dataset through the time index function. If we do this, the xarray lazy loading paradigm means only the metadata will have been downloaded form the remote location, until we try to do some thing which requires the data. For example after exmaing the metadata, we will then plot some of the data which will take longer as the data will be transfered from the remote location. This will be quite efficient as only the chunks pertaining to the data selected (variables, time period, spatial region) will be transferred."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "cdfe8f43-d089-4724-aae0-d1dec734c5d2",
-   "metadata": {},
-   "outputs": [
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/stevehadd/PyEarthTools/blob/ew4_tutorial_further_fixes/docs/notebooks/data/Remote_Zarr_Loading.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
     {
-     "data": {
-      "text/html": [
-       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
-       "<defs>\n",
-       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
-       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
-       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
-       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
-       "</symbol>\n",
-       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
-       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
-       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "</symbol>\n",
-       "</defs>\n",
-       "</svg>\n",
-       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
-       "\n",
-       ":root {\n",
-       "  --xr-font-color0: var(\n",
-       "    --jp-content-font-color0,\n",
-       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
-       "  );\n",
-       "  --xr-font-color2: var(\n",
-       "    --jp-content-font-color2,\n",
-       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
-       "  );\n",
-       "  --xr-font-color3: var(\n",
-       "    --jp-content-font-color3,\n",
-       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
-       "  );\n",
-       "  --xr-border-color: var(\n",
-       "    --jp-border-color2,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
-       "  );\n",
-       "  --xr-disabled-color: var(\n",
-       "    --jp-layout-color3,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
-       "  );\n",
-       "  --xr-background-color: var(\n",
-       "    --jp-layout-color0,\n",
-       "    var(--pst-color-on-background, white)\n",
-       "  );\n",
-       "  --xr-background-color-row-even: var(\n",
-       "    --jp-layout-color1,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
-       "  );\n",
-       "  --xr-background-color-row-odd: var(\n",
-       "    --jp-layout-color2,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
-       "  );\n",
-       "}\n",
-       "\n",
-       "html[theme=\"dark\"],\n",
-       "html[data-theme=\"dark\"],\n",
-       "body[data-theme=\"dark\"],\n",
-       "body.vscode-dark {\n",
-       "  --xr-font-color0: var(\n",
-       "    --jp-content-font-color0,\n",
-       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
-       "  );\n",
-       "  --xr-font-color2: var(\n",
-       "    --jp-content-font-color2,\n",
-       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
-       "  );\n",
-       "  --xr-font-color3: var(\n",
-       "    --jp-content-font-color3,\n",
-       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
-       "  );\n",
-       "  --xr-border-color: var(\n",
-       "    --jp-border-color2,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
-       "  );\n",
-       "  --xr-disabled-color: var(\n",
-       "    --jp-layout-color3,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
-       "  );\n",
-       "  --xr-background-color: var(\n",
-       "    --jp-layout-color0,\n",
-       "    var(--pst-color-on-background, #111111)\n",
-       "  );\n",
-       "  --xr-background-color-row-even: var(\n",
-       "    --jp-layout-color1,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
-       "  );\n",
-       "  --xr-background-color-row-odd: var(\n",
-       "    --jp-layout-color2,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
-       "  );\n",
-       "}\n",
-       "\n",
-       ".xr-wrap {\n",
-       "  display: block !important;\n",
-       "  min-width: 300px;\n",
-       "  max-width: 700px;\n",
-       "  line-height: 1.6;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-text-repr-fallback {\n",
-       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-header {\n",
-       "  padding-top: 6px;\n",
-       "  padding-bottom: 6px;\n",
-       "}\n",
-       "\n",
-       ".xr-header {\n",
-       "  border-bottom: solid 1px var(--xr-border-color);\n",
-       "  margin-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-header > div,\n",
-       ".xr-header > ul {\n",
-       "  display: inline;\n",
-       "  margin-top: 0;\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type,\n",
-       ".xr-obj-name {\n",
-       "  margin-left: 2px;\n",
-       "  margin-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type,\n",
-       ".xr-group-box-contents > label {\n",
-       "  color: var(--xr-font-color2);\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-sections {\n",
-       "  padding-left: 0 !important;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
-       "  margin-block-start: 0;\n",
-       "  margin-block-end: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item > input,\n",
-       ".xr-group-box-contents > input,\n",
-       ".xr-array-wrap > input {\n",
-       "  display: block;\n",
-       "  opacity: 0;\n",
-       "  height: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item > input + label,\n",
-       ".xr-var-item > input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item > input:enabled + label,\n",
-       ".xr-var-item > input:enabled + label,\n",
-       ".xr-array-wrap > input:enabled + label,\n",
-       ".xr-group-box-contents > input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item > input:focus-visible + label,\n",
-       ".xr-var-item > input:focus-visible + label,\n",
-       ".xr-array-wrap > input:focus-visible + label,\n",
-       ".xr-group-box-contents > input:focus-visible + label {\n",
-       "  outline: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item > input:enabled + label:hover,\n",
-       ".xr-var-item > input:enabled + label:hover,\n",
-       ".xr-array-wrap > input:enabled + label:hover,\n",
-       ".xr-group-box-contents > input:enabled + label:hover {\n",
-       "  color: var(--xr-font-color0);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary {\n",
-       "  grid-column: 1;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  font-weight: 500;\n",
-       "  white-space: nowrap;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary > em {\n",
-       "  font-weight: normal;\n",
-       "}\n",
-       "\n",
-       ".xr-span-grid {\n",
-       "  grid-column-end: -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.3em;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked + label > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.6em;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in + label:before {\n",
-       "  display: inline-block;\n",
-       "  content: \"►\";\n",
-       "  font-size: 11px;\n",
-       "  width: 15px;\n",
-       "  text-align: center;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label:before {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label:before {\n",
-       "  content: \"▼\";\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary,\n",
-       ".xr-section-inline-details,\n",
-       ".xr-group-box-contents > label {\n",
-       "  padding-top: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-top: 4px;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in ~ .xr-section-details {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-children {\n",
-       "  display: inline-grid;\n",
-       "  grid-template-columns: 100%;\n",
-       "  grid-column: 1 / -1;\n",
-       "  padding-top: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box {\n",
-       "  display: inline-grid;\n",
-       "  grid-template-columns: 0px 30px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-vline {\n",
-       "  grid-column-start: 1;\n",
-       "  border-right: 0.2em solid;\n",
-       "  border-color: var(--xr-border-color);\n",
-       "  width: 0px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-hline {\n",
-       "  grid-column-start: 2;\n",
-       "  grid-row-start: 1;\n",
-       "  height: 1em;\n",
-       "  width: 26px;\n",
-       "  border-bottom: 0.2em solid;\n",
-       "  border-color: var(--xr-border-color);\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents {\n",
-       "  grid-column-start: 3;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > label::before {\n",
-       "  content: \"📂\";\n",
-       "  padding-right: 0.3em;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked + label::before {\n",
-       "  content: \"📁\";\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked + label {\n",
-       "  padding-bottom: 0px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-ellipsis {\n",
-       "  font-size: 1.4em;\n",
-       "  font-weight: 900;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  letter-spacing: 0.15em;\n",
-       "  cursor: default;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: \"(\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: \")\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: \",\";\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  border-color: var(--xr-background-color-row-odd);\n",
-       "  margin-bottom: 0;\n",
-       "  padding-top: 2px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "  border-color: var(--xr-background-color-row-even);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  border-top: 2px dotted var(--xr-background-color);\n",
-       "  padding-bottom: 20px !important;\n",
-       "  padding-top: 10px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in + label,\n",
-       ".xr-var-data-in + label,\n",
-       ".xr-index-data-in + label {\n",
-       "  padding: 0 1px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > pre,\n",
-       ".xr-index-data > pre,\n",
-       ".xr-var-data > table > tbody > tr {\n",
-       "  background-color: transparent !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-       "  color: var(--xr-font-color0);\n",
-       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-       "  stroke-width: 0.8px;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 1MB\n",
-       "Dimensions:            (time: 1, level: 5, latitude: 141, longitude: 181)\n",
-       "Coordinates:\n",
-       "  * time               (time) datetime64[ns] 8B 2024-01-23T17:00:00\n",
-       "  * level              (level) int64 40B 200 500 700 850 1000\n",
-       "  * latitude           (latitude) float32 564B -5.0 -5.25 -5.5 ... -39.75 -40.0\n",
-       "  * longitude          (longitude) float32 724B 110.0 110.2 ... 154.8 155.0\n",
-       "Data variables:\n",
-       "    specific_humidity  (time, level, latitude, longitude) float32 510kB ...\n",
-       "    temperature        (time, level, latitude, longitude) float32 510kB ...\n",
-       "Attributes:\n",
-       "    valid_time_start:       1940-01-01\n",
-       "    last_updated:           2026-06-01 03:27:53.232444+00:00\n",
-       "    valid_time_stop:        2025-12-31\n",
-       "    valid_time_stop_era5t:  2026-05-26</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-9620a655-65a9-49c9-a840-cfe344bf2829' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-9620a655-65a9-49c9-a840-cfe344bf2829' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>level</span>: 5</li><li><span class='xr-has-index'>latitude</span>: 141</li><li><span class='xr-has-index'>longitude</span>: 181</li></ul></div></li><li class='xr-section-item'><input id='section-872ed2b7-5472-4364-a5b0-dad24d4ecc18' class='xr-section-summary-in' type='checkbox' checked /><label for='section-872ed2b7-5472-4364-a5b0-dad24d4ecc18' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2024-01-23T17:00:00</div><input id='attrs-2efe8ba6-b2e9-40c1-b6e9-3c40d388a0ef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2efe8ba6-b2e9-40c1-b6e9-3c40d388a0ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9cf1c9c-af20-4f8f-9aaa-7e0f494eebf2' class='xr-var-data-in' type='checkbox'><label for='data-f9cf1c9c-af20-4f8f-9aaa-7e0f494eebf2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2024-01-23T17:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>200 500 700 850 1000</div><input id='attrs-7cfe3dac-5c1f-4fe2-82e4-139c125fc18f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7cfe3dac-5c1f-4fe2-82e4-139c125fc18f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-007a1c17-81fb-44c3-86a2-ca9008a111f1' class='xr-var-data-in' type='checkbox'><label for='data-007a1c17-81fb-44c3-86a2-ca9008a111f1' 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>level</dd><dt><span>units :</span></dt><dd>Hectopascal(hPa)</dd></dl></div><div class='xr-var-data'><pre>array([ 200,  500,  700,  850, 1000])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-5.0 -5.25 -5.5 ... -39.75 -40.0</div><input id='attrs-ebe64952-bab6-4d96-91fb-a4d6561040dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebe64952-bab6-4d96-91fb-a4d6561040dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e01c2f9f-7c99-4803-a84f-2a2d993ff06b' class='xr-var-data-in' type='checkbox'><label for='data-e01c2f9f-7c99-4803-a84f-2a2d993ff06b' 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</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([ -5.  ,  -5.25,  -5.5 ,  -5.75,  -6.  ,  -6.25,  -6.5 ,  -6.75,  -7.  ,\n",
-       "        -7.25,  -7.5 ,  -7.75,  -8.  ,  -8.25,  -8.5 ,  -8.75,  -9.  ,  -9.25,\n",
-       "        -9.5 ,  -9.75, -10.  , -10.25, -10.5 , -10.75, -11.  , -11.25, -11.5 ,\n",
-       "       -11.75, -12.  , -12.25, -12.5 , -12.75, -13.  , -13.25, -13.5 , -13.75,\n",
-       "       -14.  , -14.25, -14.5 , -14.75, -15.  , -15.25, -15.5 , -15.75, -16.  ,\n",
-       "       -16.25, -16.5 , -16.75, -17.  , -17.25, -17.5 , -17.75, -18.  , -18.25,\n",
-       "       -18.5 , -18.75, -19.  , -19.25, -19.5 , -19.75, -20.  , -20.25, -20.5 ,\n",
-       "       -20.75, -21.  , -21.25, -21.5 , -21.75, -22.  , -22.25, -22.5 , -22.75,\n",
-       "       -23.  , -23.25, -23.5 , -23.75, -24.  , -24.25, -24.5 , -24.75, -25.  ,\n",
-       "       -25.25, -25.5 , -25.75, -26.  , -26.25, -26.5 , -26.75, -27.  , -27.25,\n",
-       "       -27.5 , -27.75, -28.  , -28.25, -28.5 , -28.75, -29.  , -29.25, -29.5 ,\n",
-       "       -29.75, -30.  , -30.25, -30.5 , -30.75, -31.  , -31.25, -31.5 , -31.75,\n",
-       "       -32.  , -32.25, -32.5 , -32.75, -33.  , -33.25, -33.5 , -33.75, -34.  ,\n",
-       "       -34.25, -34.5 , -34.75, -35.  , -35.25, -35.5 , -35.75, -36.  , -36.25,\n",
-       "       -36.5 , -36.75, -37.  , -37.25, -37.5 , -37.75, -38.  , -38.25, -38.5 ,\n",
-       "       -38.75, -39.  , -39.25, -39.5 , -39.75, -40.  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>110.0 110.2 110.5 ... 154.8 155.0</div><input id='attrs-484f27a1-31aa-4a7c-8208-66ad5e1d0379' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-484f27a1-31aa-4a7c-8208-66ad5e1d0379' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4277a4a9-2b4b-476e-bfee-5c408f9f6902' class='xr-var-data-in' type='checkbox'><label for='data-4277a4a9-2b4b-476e-bfee-5c408f9f6902' 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</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([110.  , 110.25, 110.5 , 110.75, 111.  , 111.25, 111.5 , 111.75, 112.  ,\n",
-       "       112.25, 112.5 , 112.75, 113.  , 113.25, 113.5 , 113.75, 114.  , 114.25,\n",
-       "       114.5 , 114.75, 115.  , 115.25, 115.5 , 115.75, 116.  , 116.25, 116.5 ,\n",
-       "       116.75, 117.  , 117.25, 117.5 , 117.75, 118.  , 118.25, 118.5 , 118.75,\n",
-       "       119.  , 119.25, 119.5 , 119.75, 120.  , 120.25, 120.5 , 120.75, 121.  ,\n",
-       "       121.25, 121.5 , 121.75, 122.  , 122.25, 122.5 , 122.75, 123.  , 123.25,\n",
-       "       123.5 , 123.75, 124.  , 124.25, 124.5 , 124.75, 125.  , 125.25, 125.5 ,\n",
-       "       125.75, 126.  , 126.25, 126.5 , 126.75, 127.  , 127.25, 127.5 , 127.75,\n",
-       "       128.  , 128.25, 128.5 , 128.75, 129.  , 129.25, 129.5 , 129.75, 130.  ,\n",
-       "       130.25, 130.5 , 130.75, 131.  , 131.25, 131.5 , 131.75, 132.  , 132.25,\n",
-       "       132.5 , 132.75, 133.  , 133.25, 133.5 , 133.75, 134.  , 134.25, 134.5 ,\n",
-       "       134.75, 135.  , 135.25, 135.5 , 135.75, 136.  , 136.25, 136.5 , 136.75,\n",
-       "       137.  , 137.25, 137.5 , 137.75, 138.  , 138.25, 138.5 , 138.75, 139.  ,\n",
-       "       139.25, 139.5 , 139.75, 140.  , 140.25, 140.5 , 140.75, 141.  , 141.25,\n",
-       "       141.5 , 141.75, 142.  , 142.25, 142.5 , 142.75, 143.  , 143.25, 143.5 ,\n",
-       "       143.75, 144.  , 144.25, 144.5 , 144.75, 145.  , 145.25, 145.5 , 145.75,\n",
-       "       146.  , 146.25, 146.5 , 146.75, 147.  , 147.25, 147.5 , 147.75, 148.  ,\n",
-       "       148.25, 148.5 , 148.75, 149.  , 149.25, 149.5 , 149.75, 150.  , 150.25,\n",
-       "       150.5 , 150.75, 151.  , 151.25, 151.5 , 151.75, 152.  , 152.25, 152.5 ,\n",
-       "       152.75, 153.  , 153.25, 153.5 , 153.75, 154.  , 154.25, 154.5 , 154.75,\n",
-       "       155.  ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-db68a417-7ddc-4d12-ab18-1ba7ce686908' class='xr-section-summary-in' type='checkbox' checked /><label for='section-db68a417-7ddc-4d12-ab18-1ba7ce686908' class='xr-section-summary' title='Expand/collapse section'>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>specific_humidity</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5d900e15-7498-48ae-8dbe-185558c89c6f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d900e15-7498-48ae-8dbe-185558c89c6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ce88a3f-9a45-4bb1-a5c2-9deedebb539e' class='xr-var-data-in' type='checkbox'><label for='data-0ce88a3f-9a45-4bb1-a5c2-9deedebb539e' 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>Specific humidity</dd><dt><span>short_name :</span></dt><dd>q</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg**-1</dd></dl></div><div class='xr-var-data'><pre>[127605 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4afffbf0-eaca-44ae-8330-967e7aa08f71' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4afffbf0-eaca-44ae-8330-967e7aa08f71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e14c2d1-9506-47c6-bc37-fa9aa8e058a2' class='xr-var-data-in' type='checkbox'><label for='data-6e14c2d1-9506-47c6-bc37-fa9aa8e058a2' 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>Temperature</dd><dt><span>short_name :</span></dt><dd>t</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[127605 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ec12aa4a-6873-4e4b-9627-6f8f3c8b819d' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ec12aa4a-6873-4e4b-9627-6f8f3c8b819d' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>valid_time_start :</span></dt><dd>1940-01-01</dd><dt><span>last_updated :</span></dt><dd>2026-06-01 03:27:53.232444+00:00</dd><dt><span>valid_time_stop :</span></dt><dd>2025-12-31</dd><dt><span>valid_time_stop_era5t :</span></dt><dd>2026-05-26</dd></dl></div></li></ul></div></div>"
+      "cell_type": "code",
+      "source": [
+        "!pip install pyearthtools"
       ],
-      "text/plain": [
-       "<xarray.Dataset> Size: 1MB\n",
-       "Dimensions:            (time: 1, level: 5, latitude: 141, longitude: 181)\n",
-       "Coordinates:\n",
-       "  * time               (time) datetime64[ns] 8B 2024-01-23T17:00:00\n",
-       "  * level              (level) int64 40B 200 500 700 850 1000\n",
-       "  * latitude           (latitude) float32 564B -5.0 -5.25 -5.5 ... -39.75 -40.0\n",
-       "  * longitude          (longitude) float32 724B 110.0 110.2 ... 154.8 155.0\n",
-       "Data variables:\n",
-       "    specific_humidity  (time, level, latitude, longitude) float32 510kB ...\n",
-       "    temperature        (time, level, latitude, longitude) float32 510kB ...\n",
-       "Attributes:\n",
-       "    valid_time_start:       1940-01-01\n",
-       "    last_updated:           2026-06-01 03:27:53.232444+00:00\n",
-       "    valid_time_stop:        2025-12-31\n",
-       "    valid_time_stop_era5t:  2026-05-26"
+      "metadata": {
+        "id": "2_Nnfj2Dr-Zw"
+      },
+      "id": "2_Nnfj2Dr-Zw",
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "id": "98164f08-4b2f-4600-b7d5-b4cc4284aac6",
+      "metadata": {
+        "id": "98164f08-4b2f-4600-b7d5-b4cc4284aac6"
+      },
+      "source": [
+        "# Loading a Remote Zarr file - ERA5 ARCO example\n",
+        "\n",
+        "[Zarr](https://zarr.readthedocs.io/) is an increasingly popular format for storing gridded environmental science data, especially when working on cloud environments. The nature of a zarr, with consolidated metadat which enables interaction with a dataset as a unified whole, data divided into separate files called *chunks* to enable parallel read and write, which suits a massively parallel distributed file system like the object stores used by cloud providers, makes it efficient and intuive for many machine-learning platforms and workflows.\n",
+        "\n",
+        "PyEarthTools provides a data accessor class for zarr files. As PyEarthTools uses xarray for data I/O, which through fsspec supports loading data directly from remote sources, it can load data from such sources.\n"
       ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "era5_accessor['2024-01-23 17:00']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "53cd3128-3c45-450c-a0fa-866d7fc353dc",
-   "metadata": {},
-   "outputs": [
+    },
+    {
+      "cell_type": "markdown",
+      "id": "f644ae8b-32dd-49c8-9c14-0a32c0840ac6",
+      "metadata": {
+        "id": "f644ae8b-32dd-49c8-9c14-0a32c0840ac6"
+      },
+      "source": [
+        "### Set up imports for demo"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "c3f48f0f-6e4d-40d3-a88a-625f0d5a5b7d",
+      "metadata": {
+        "id": "c3f48f0f-6e4d-40d3-a88a-625f0d5a5b7d"
+      },
+      "outputs": [],
+      "source": [
+        "import xarray"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "4e140303-a282-41e8-8424-9547f9159c26",
+      "metadata": {
+        "id": "4e140303-a282-41e8-8424-9547f9159c26"
+      },
+      "outputs": [],
+      "source": [
+        "import matplotlib.pyplot\n",
+        "import cartopy"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "4e4d3dc7-e81a-40c3-b604-db49bf43847e",
+      "metadata": {
+        "id": "4e4d3dc7-e81a-40c3-b604-db49bf43847e"
+      },
+      "outputs": [],
+      "source": [
+        "import pyearthtools.data"
+      ]
+    },
     {
-     "data": {
-      "text/plain": [
-       "<cartopy.mpl.feature_artist.FeatureArtist at 0x7f105bf97590>"
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "ab4e3a1d-770b-4cd1-a57d-c678d1af20d6",
+      "metadata": {
+        "id": "ab4e3a1d-770b-4cd1-a57d-c678d1af20d6"
+      },
+      "outputs": [],
+      "source": [
+        "import pyearthtools.pipeline"
       ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
     },
     {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAABI4AAAM0CAYAAADdnWkEAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjgsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvwVt1zgAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzs3XV4FFfbwOHfWjbu7kKAEDxYcCkuxWlpkSptqetbdypU3r7t15YqhRpSKC0txd0tSCAhxN3d1ub7IyQlJCFCZEPOfV1cwOzszDOzuyPPnPMcmSRJEoIgCIIgCIIgCIIgCIJwDXlbByAIgiAIgiAIgiAIgiAYJ5E4EgRBEARBEARBEARBEGolEkeCIAiCIAiCIAiCIAhCrUTiSBAEQRAEQRAEQRAEQaiVSBwJgiAIgiAIgiAIgiAItRKJI0EQBEEQBEEQBEEQBKFWInEkCIIgCIIgCIIgCIIg1EokjgRBEARBEARBEARBEIRaicSRIAiCIAiCIAiCIAiCUCuROBIEwSitXLkSmUxGXFxcW4diVLG0JV9fX2QyGTKZjIcffritwxGuIZPJeO2112pMf//99+natSsGgwGAuLg4ZDIZH3zwQavGl52djYWFBX///XeN1x5//PGq75alpWWzr9vX15fFixc3+3IFQRAEQRA6ApE4EgRBMFJRUVHcdttteHp6Ym5uTteuXXnjjTcoKSmpNt/IkSOrbrqv/jNhwoQayywvL+e5557D3d0dMzMzBg4cyPbt2xsc07Bhw1i9ejWLFi2qmlZfIuK1115DJpORlZXV4PU0xoULF3jttdc6fGKvNgUFBbz33ns899xzyOWNP+VXfnaVf8zNzenWrRsvvfQSBQUFjVqWg4MD9957Ly+//HKN1xYsWMDq1asZNmxYo2OsdOjQIV577TXy8vKavIz26Pjx4zz88MMEBwdjYWGBt7c3c+fO5dKlS7XOf/HiRSZMmIClpSX29vYsWLCAzMzMavNERETw7LPP0rt3b6ysrHBzc2Py5MmcOHGi3njGjh3b6OSywWDg/fffx8/PD1NTU3r27Mkvv/xSY75jx47x0EMPERISgkqlQiaTNXgdgiAIgiA0nbKtAxAEQRBqSkxMZMCAAdjY2PDwww9jb2/P4cOHefXVVzl58iSbNm2qNr+npyfvvPNOtWnu7u41lrt48WLWr1/P448/TmBgICtXrmTSpEns3r2boUOH1huXv78/d955541tXDO7cOECr7/+OiNHjsTX17etwzEq3333HTqdjttvv/2GlvPFF19gaWlJUVER27Zt4+2332bXrl0cPHiwUTfvDzzwAP/73//YtWsXo0ePrpoeEhJCSEgIO3bs4NSpU02K8dChQ7z++ussXrwYW1vbaq9FRkY2KXHWHrz33nscPHiQOXPm0LNnT9LS0vjss8/o27cvR44coXv37lXzJiUlMXz4cGxsbFi2bBlFRUV88MEHnDt3jmPHjmFiYgLAN998w7fffsusWbN46KGHyM/PZ8WKFQwaNIh//vmHW265pdZYNmzYwOHDhxu9DS+++CLvvvsu9913H/3792fTpk3Mnz8fmUzGbbfdVjXf33//zTfffEPPnj3x9/evMzkmCIIgCELzEokjQRAEI7R69Wry8vI4cOAAwcHBANx///0YDAZWrVpFbm4udnZ2VfPb2NjUm9A5duwYv/76K8uXL+fpp58GYOHChXTv3p1nn32WQ4cOtdwGCW3i+++/Z9q0aZiamt7QcmbPno2joyNQkfyZNWsWGzZs4MiRI4SGhjZ4OUFBQXTv3p2VK1dWSxy1NLVa3Wrram1PPvkkP//8c1XSB2DevHn06NGDd999lx9//LFq+rJlyyguLubkyZN4e3sDMGDAAMaOHcvKlSu5//77Abj99tt57bXXqnUbvPvuuwkKCuK1116rNXFUVlbGU089xXPPPccrr7zS4PiTk5P58MMPWbp0KZ999hkA9957LyNGjOCZZ55hzpw5KBQKAB588EGee+45zMzMePjhh0XiSBAEQRBayc35+E0QhJvWli1bGDZsGBYWFlhZWTF58mTCw8OrXv/ggw+QyWTEx8fXeO/zzz+PiYkJubm5VdOOHj3KhAkTsLGxwdzcnBEjRnDw4MFW2ZbrqewG5OLiUm26m5sbcrm82k1iJZ1OR1FRUZ3LXL9+PQqFourmEMDU1JR77rmHw4cPk5iY2EzRN0xD931ycjL33HMP7u7uqNVq/Pz8ePDBB9FoNKxcuZI5c+YAMGrUqKouVXv27Kl6/+eff05wcDBqtRp3d3eWLl1aozvTyJEj6d69OydPnmTw4MGYmZnh5+fHl19+WW0+jUbDK6+8QkhICDY2NlhYWDBs2DB2795dI+5ff/2VkJAQrKyssLa2pkePHnzyySfV5snLy+OJJ57A19cXtVqNp6cnCxcurOrW15j1XSs2NpazZ8/W2ToE4KuvviIgIAC1Wk3//v05fvx4vcsFqpI+sbGxjY5x7Nix/Pnnn0iS1KB1NcRrr73GM888A4Cfn1/V96Cy++K1NY4q65YdOHCARx99FCcnJ2xtbVmyZAkajYa8vDwWLlyInZ0ddnZ2PPvsszXiNRgM/Pe//yU4OBhTU1NcXFxYsmRJteNLaxg8eHCN40FgYCDBwcFcvHix2vTffvuNKVOmVCWNAG655RY6d+7M2rVrq6aFhITUqDXl4ODAsGHDaiyz0vvvv4/BYKhKSjfUpk2b0Gq1PPTQQ1XTZDIZDz74IElJSdVaMLm4uGBmZtao5QuCIAiCcONE4kgQhHZj9erVTJ48GUtLS9577z1efvllLly4wNChQ6tuEOfOnYtMJqt2E1Rp7dq1jBs3rqqlzq5duxg+fDgFBQW8+uqrLFu2jLy8PEaPHs2xY8caHV95eTlZWVkN+lOfkSNHAnDPPfcQFhZGYmIia9as4YsvvuDRRx/FwsKi2vyXLl2qSqa5urry8ssvo9Vqq81z+vRpOnfujLW1dbXpAwYMACAsLKzR23y1kpKSWrf12ppM0PB9n5KSwoABA/j111+ZN28e//vf/1iwYAF79+6lpKSE4cOH8+ijjwLwwgsvsHr1alavXk1QUBBQkVBYunQp7u7ufPjhh8yaNYsVK1Ywbty4GvsnNzeXSZMmERISwvvvv4+npycPPvgg3333XdU8BQUFfPPNN4wcOZL33nuP1157jczMTMaPH19t/23fvp3bb78dOzs73nvvPd59911GjhxZLTFWVFTEsGHD+PTTTxk3bhyffPIJDzzwABERESQlJTVqfbWpbEHWt2/fWl//+eefWb58OUuWLOGtt94iLi6OmTNn1tgvtYmOjgYqkgmNjTEkJIS8vLxqCd8bNXPmzKrueB9//HHV98DJyem673vkkUeIiori9ddfZ9q0aXz11Ve8/PLLTJ06Fb1ez7Jlyxg6dCjLly9n9erV1d67ZMkSnnnmGYYMGcInn3zCXXfdxU8//cT48ePr3YfNeayojSRJpKenV7USg4oEbEZGBv369asx/4ABAzh9+nS9y01LS6u2zEoJCQm8++67vPfee41O7Jw+fRoLC4uq3+zVMVW+LgiCIAhCG5MEQRCM0Pfffy8BUmxsrCRJklRYWCjZ2tpK9913X7X50tLSJBsbm2rTQ0NDpZCQkGrzHTt2TAKkVatWSZIkSQaDQQoMDJTGjx8vGQyGqvlKSkokPz8/aezYsXXGUl/MDfnTEG+++aZkZmZW7X0vvvhijfnuvvtu6bXXXpN+++03adWqVdK0adMkQJo7d261+YKDg6XRo0fXeH94eLgESF9++eV14/Hx8ZEWLVpUY3psbGyDtjkzM1OSpMbt+4ULF0pyuVw6fvx4jfVWvnfdunUSIO3evbva6xkZGZKJiYk0btw4Sa/XV03/7LPPJED67rvvqqaNGDFCAqQPP/ywalp5ebnUu3dvydnZWdJoNJIkSZJOp5PKy8urrSc3N1dycXGR7r777qppjz32mGRtbS3pdLo69+crr7wiAdKGDRvq3LaGrk+SJAmQXn311ar/v/TSSxIgFRYWVpuv8vNycHCQcnJyqqZv2rRJAqQ///yzatqrr74qAVJkZKSUmZkpxcbGSitWrJDUarXk4uIiFRcXNypGSZKkQ4cOSYC0Zs2aGq8tWrRIsrCwqDG9IZYvX17n7/Ta727lb/Xa72BoaKgkk8mkBx54oGqaTqeTPD09pREjRlRN279/vwRIP/30U7X1/PPPP7VOv1ZzHyuutXr1agmQvv3226ppx48fr3YMvNozzzwjAVJZWVmdy9y3b58kk8mkl19+ucZrs2fPlgYPHlz1f0BaunRpg2KdPHmy5O/vX2N6cXGxBEj/+c9/an3f0qVLm7x/BEEQBEFoHFHjSBCEdmH79u3k5eVx++23V3sKr1AoGDhwYLVuMfPmzePxxx8nOjqagIAAANasWYNarebWW28FKlrXREVF8dJLL5GdnV1tXWPGjGH16tUYDIZGFdQdP358o0Yoq4+vry/Dhw9n1qxZODg48Ndff7Fs2TJcXV2rjVj07bffVnvfggULuP/++/n666954oknGDRoEAClpaW11nqprH9TWlp6Q/Hef//9Vd3GrrZq1apqrTUauu8Bfv/9d6ZOnVprK4n6ijLv2LEDjUbD448/Xu1zvO+++3jhhRf466+/uOuuu6qmK5VKlixZUvV/ExMTlixZwoMPPsjJkycZNGgQCoWiqt6KwWAgLy8Pg8FAv379qhV1trW1pbi4mO3bt9c6uh1UdBvq1asXM2bMqHPbGrq+2mRnZ6NUKusc3n7evHnV6mRVjmgWExNTY94uXbpU+39wcDA//PAD5ubmVXE2NMbKdbbUKHuNcc8991T7Hg0cOJDDhw9zzz33VE1TKBT069ePkydPVk1bt24dNjY2jB07ttp2VHbx2r17N/Pnz69zvc19rLhaREQES5cuJTQ0tNroh5W/7/qOAbW9npGRwfz58/Hz8+PZZ5+t9tru3bv57bffOHr0aJPibenjkiAIgiAIN04kjgRBaBeioqIA6iyoe3X3qzlz5vDkk0+yZs0aXnjhBSRJYt26dUycOLFqvsrlXX1jda38/PxqN9b1cXNzw83NrcHzX8+vv/7K/fffz6VLl/D09AQquuMYDAaee+45br/9dhwcHOp8/1NPPcXXX3/Njh07qhJHZmZmlJeX15i3rKys6vUbERgYWGs9nQMHDlT7f0P3vUajoaCgoNqoUI1RWefq2qSHiYkJ/v7+Nepgubu71+gC2LlzZwDi4uKq9uMPP/zAhx9+SERERLUuSX5+flX/fuihh1i7di0TJ07Ew8ODcePGMXfu3GpJpOjoaGbNmlXvdjRkfU1xdZ0b+DehU1uNnt9++w1ra2tUKhWenp5VCdmmxChdqRVkDEOpX7sPbGxsAPDy8qox/er9EhUVRX5+Ps7OzrUuNyMj47rrbc5jxdXS0tKYPHkyNjY2VTXNKlX+vht7DCguLmbKlCkUFhZy4MCBaolInU7Ho48+yoIFC+jfv3+9sV3NxsYGMzOzFjku1bUuQRAEQRCaRiSOBEFoFypboKxevRpXV9caryuV/x7O3N3dGTZsGGvXruWFF17gyJEjJCQk8N5779VY3vLly+ndu3et66yrpUZdSktLyc/Pb9C8tW3D1T7//HP69OlTlTSqNG3aNFauXMnp06evW/S48sY3JyenapqbmxvJyck15k1NTQUq9ltraOi+vzp2Y/Hjjz+yePFipk+fzjPPPIOzszMKhYJ33nmnqu4PgLOzM2FhYWzdupUtW7awZcsWvv/+exYuXMgPP/zQ7OurjYODAzqdjsLCQqysrGq8fnVS4WpSLUWrhw8fXmttm6bEWJmAqWt5ramufVDb9Kv3i8FgwNnZmZ9++qnW99dXW6k5jxWV8vPzmThxInl5eezfv7/G77kyUVX5e79aamoq9vb2NVr+aDQaZs6cydmzZ9m6dWuNJO6qVauIjIxkxYoVVXXmKhUWFhIXF4ezszPm5uY1EmXff/89ixcvxs3Njd27dyNJUrVk4o0cl+palyAIgiAITSMSR4IgtAuVLRycnZ2vmzCpNG/ePB566CEiIyNZs2YN5ubmTJ06tcbyrK2tG7S8hlizZk21rk/XU9vN+dXS09Nrbe1U2ZpDp9Nd9/2V3Y2uvoHt3bs3u3fvpqCgoFoLrcouJnUlcZpbQ/e9k5MT1tbWnD9//rrLq6vlio+PDwCRkZH4+/tXTddoNMTGxtZYd0pKCsXFxdVaHVUO9+3r6wtUjEzn7+/Phg0bqq331VdfrbF+ExMTpk6dytSpUzEYDDz00EOsWLGCl19+mU6dOhEQEFDvtjVmfdfq2rUrUDHyWc+ePeudv6kaG2NsbCxAjWLIN6o1WzAFBASwY8cOhgwZ0qSWLM15rICK1jlTp07l0qVL7Nixg27dutWYx8PDAycnJ06cOFHjtWPHjtX4/RsMBhYuXMjOnTtZu3YtI0aMqPG+hIQEtFotQ4YMqfHaqlWrWLVqFRs3bmT69Ok1uuYFBwcDFcedb775hosXL1aL+0aOS3WtSxAEQRCEphGJI0EQ2oXx48djbW3NsmXLGDVqFCqVqtrrmZmZ1ZIks2bN4pFHHuGXX35h3bp1TJkypVpCICQkhICAAD744APmz59fo3XRtctraIzNVbekc+fObNu2jUuXLlV1lwL45ZdfkMvlVYmAgoIC1Gp1tZYCkiTx1ltvVcVUafbs2XzwwQd89dVXVUNml5eX8/333zNw4MAa3XNaSkP3vVwuZ/r06fz444+cOHGiRp2jyhYKlZ9rXl5etddvueUWTExM+N///seECROqEgvffvst+fn5TJ48udr8Op2OFStW8OSTTwIVCaYVK1bg5ORESEgI8G9LlKtbRxw9epTDhw9X6/aUnZ1drSvh1Z9ZZbecWbNm8cYbb7Bx48YadY4ql9/Q9dUmNDQUgBMnTrRo4qixMZ48eRIbG5tmv5mv63vQEubOncvnn3/Om2++ybJly6q9ptPpKCoqwtbWts73N+exQq/XM2/ePA4fPsymTZuqPvfazJo1ix9++IHExMSq3/vOnTu5dOkSTzzxRLV5H3nkEdasWcOKFSuYOXNmrcu77bbbak3szJgxg0mTJnHfffcxcOBAgDqTxLfeeitPPPEEn3/+OZ999hlQ8V368ssv8fDwYPDgwfXug2vVtS6tVkt0dDQ2NjbVWiVVtoy7ugtmamoq+fn5BAQE1DjfCIIgCEJHIxJHgiC0C9bW1nzxxRcsWLCAvn37ctttt+Hk5ERCQgJ//fUXQ4YMqbrpgIqWSaNGjeKjjz6isLCQefPmVVueXC7nm2++YeLEiQQHB3PXXXfh4eFBcnIyu3fvxtramj///LNRMTZn3ZJnnnmGLVu2MGzYMB5++GEcHBzYvHkzW7Zs4d57763qvnHq1Cluv/12br/9djp16kRpaSkbN27k4MGD3H///dWGYh84cCBz5szh+eefJyMjg06dOvHDDz8QFxdXo8B2S2rMvl+2bBnbtm1jxIgR3H///QQFBZGamsq6des4cOAAtra29O7dG4VCwXvvvUd+fj5qtZrRo0fj7OzM888/z+uvv86ECROYNm0akZGRfP755/Tv358777yzWlzu7u689957xMXF0blzZ9asWUNYWBhfffVV1Y3jlClT2LBhAzNmzGDy5MnExsby5Zdf0q1bN4qKiqqWde+995KTk8Po0aPx9PQkPj6eTz/9lN69e1e1tHnmmWdYv349c+bM4e677yYkJIScnBz++OMPvvzyS3r16tXg9dXG39+f7t27s2PHDu6+++7m/AiraWyM27dvZ+rUqQ1uIbR48WJ++OEHYmNjq1p+1aYyuffiiy9y2223oVKpmDp1ao26Vc1hxIgRLFmyhHfeeYewsDDGjRuHSqUiKiqKdevW8cknnzB79uw639+cx4qnnnqKP/74g6lTp5KTk8OPP/5Y7fWrv+cvvPAC69atY9SoUTz22GMUFRWxfPlyevToUa0F1H//+18+//xzQkNDMTc3r7HMGTNmYGFhQdeuXatatl3Lz8+P6dOn1xu/p6cnjz/+OMuXL0er1dK/f39+//139u/fz08//VSt22B8fHxVof3KllOVSXIfHx8WLFhw3XUlJycTFBTEokWLWLlyZdX0MWPGAFTrbvf888836HsnCIIgCB1CWwzlJgiCUJ/K4aqvHVp79+7d0vjx4yUbGxvJ1NRUCggIkBYvXiydOHGixjK+/vprCZCsrKyk0tLSWtdz+vRpaebMmZKDg4OkVqslHx8fae7cudLOnTvrjaWlHT16VJo4caLk6uoqqVQqqXPnztLbb78tabXaqnliYmKkOXPmSL6+vpKpqalkbm4uhYSESF9++WW1YcYrlZaWSk8//bTk6uoqqdVqqX///tI///zToHiuHdK8UuXw7suXL6/1fZVDumdmZlab3pB9L0mSFB8fLy1cuFBycnKS1Gq15O/vLy1durTaEPBff/215O/vLykUCgmQdu/eXfXaZ599JnXt2lVSqVSSi4uL9OCDD0q5ubnV1jFixAgpODhYOnHihBQaGiqZmppKPj4+0meffVZtPoPBIC1btkzy8fGR1Gq11KdPH2nz5s3SokWLJB8fn6r51q9fL40bN05ydnaWTExMJG9vb2nJkiVSampqteVlZ2dLDz/8sOTh4SGZmJhInp6e0qJFi6SsrKxGrU+SKoZAf/XVV6tN++ijjyRLS0uppKSkatr1Pq9rl1HXZ9eUfSJJknTx4kUJkHbs2FHrshYtWiRZWFhUmzZr1izJzMysxmdWmzfffFPy8PCQ5HJ5td/std/dyt/08ePHq72/ru2tLS5JkqSvvvpKCgkJkczMzCQrKyupR48e0rPPPiulpKTUG2tzGTFihATU+eda58+fl8aNGyeZm5tLtra20h133CGlpaVVm2fRokXXXWZ9x0JAWrp0aYO3Qa/XV32HTExMpODgYOnHH3+sMd/u3bvrjGnEiBH1rqfyu3/tcczHx6fGd7VyH7T2cV8QBEEQjJFMkhrQeV4QBEHo8Hx9fQkNDeXTTz/FzMysRVpytJWRI0eSlZVVb82h9iY/Px9/f3/ef//9akPMt5XHH3+cffv2cfLkyWotjoqLiyktLeWRRx7hzz//rNZSycXFhYULF7J8+fK2CFkQBEEQBKHDk7d1AIIgCEL78euvv+Lk5MRzzz3X1qEIDWBjY8Ozzz7L8uXLq0azayvZ2dl88803vPXWWzW6qb344os4OTnx66+/VpseHh5OaWmp+L4JgiAIgiC0IdHiSBAEQWiQgwcPUlpaCoCXlxddunRp44iaz83a4qi9uHTpEgkJCQAolUpGjhzZtgEJgiAIgiAIVUTiSBAEQejwROJIEARBEARBEGonuqoJgiAIHd6ePXtE0kgQBEEQBEFosi+++IKePXtibW2NtbU1oaGhbNmyper1srIyli5dioODA5aWlsyaNYv09PRal5WdnY2npycymYy8vLxW2oK6icSRIAiCIAiCIAiCIAjCDfD09OTdd9/l5MmTnDhxgtGjR3PrrbcSHh4OwBNPPMGff/7JunXr2Lt3LykpKcycObPWZd1zzz307NmzNcO/LtFVTRAEQRAEQRAEQRAEoZnZ29uzfPlyZs+ejZOTEz///DOzZ88GICIigqCgIA4fPsygQYOq3vPFF1+wZs0aXnnlFcaMGUNubi62trZttAUVlA2dsaysDI1G05KxCIIgCIIgCIIgCEKHZWJigqmpaVuH0eqMOd8gSVKNEWHVajVqtbrO9+j1etatW0dxcTGhoaGcPHkSrVbLLbfcUjVP165d8fb2rpY4unDhAm+88QZHjx4lJiamZTaoCRqUOCorK8PSxRl9QWFLxyMIgiAIgiAIgiAIHZKrqyuxsbEdKnlUVlaGr48F6RmGtg6lVpaWlhQVFVWb9uqrr/Laa6/VmPfcuXOEhoZW5FAsLdm4cSPdunUjLCwMExOTGi2HXFxcSEtLA6C8vJzbb7+d5cuX4+3t3f4SRxqNBn1BIR7LXkTeCl9gN7+sZl9maqxjq6/zZlffPhVgmJcvX4ybxuzffyEiO7NR7732OznfZzgzvUKZfeC95gyxSe4LGM9cnyHE5uXgZ2vPbX+s4XxmzcJuKrmCj0ZPZLCHN/P/XEtkzr/b9PLgkUztFMTc339hsKc3Tw0YyqBVX6I1GOjj4sbqKXOYun41sfm5rblpAh3zeCiOZ8ahI373AKxVZszzHsatngMp0ZfzS9w+NicfRyvp2zq0dqstftNN/f7ebMef2vZDf/tAlvVewG0Hl5Nd3jwPoq/db9fb/825j+v7nI3l83S3tGbbvMU8tWsLw718mRzQhUV/redMRlqzreP2oJ48HzqCXfExvLBvGyVabZOW4+mfw18jX+GzS3+xOfl4k5bRXPu9pc5Dj3WZxljXXjx9+jvm+QzDRmnOk6e/qzGfvkTDyTu+QKPRdKjEkUajIT3DQOQJd6ysjKsMc2GhgS79UkhMTMTa2rpqel2tjbp06UJYWBj5+fmsX7+eRYsWsXfv3gat6/nnnycoKIg777yzWWJvTg3uqgYgNzVFbtbyX2ClRd1NvprKq3shydFOtb7mEZAJNP86b3at8V1o7+b06kuaTsOlksJG769rfwcOtvaoLc1b5PfRGDJkjPDtRbFSx4wtv7FlziJ+mDmfGRt/Jqkwv9q8d/fqx4Ru3blvy+9ElRZV7QMXC0vuGziUNw/tJkFbxuN+ASRpytCrTZAD9rZ2WFtb8+bYyWyNjWJzdCT55WVtsLUdU3qa55XjYsfh1b36jUxd5wuhZbX18a2tlGDg+7S9/JUbxt0BY3kmZC4Lg8fxTfQ2tqeGYUCUo2ystrhGacqxMznaCblZ49Zz9Tqa+1h1vfgbuq7afsdKCzXW1taYWpqjVDZPV5Rrj9vXu5avOW91jdmP9R2njOX6eGzXbqgtzPF2dmZByEAe3bGZc4V5zRbfADdPlo2bwsrzp3jr0B4kpQK5UtGoZfz7fVNRamIgxKML/+SdbVI8zbVdLXUeMrM0w8TClAQpj1xFGQNcu6G2NEMvGWcLm7ZiZSXH2sgSR5UqR0qrj4mJCZ06dQIgJCSE48eP88knnzBv3jw0Gg15eXnVWh2lp6fj6uoKwK5duzh37hzr168HKrrIATg6OvLiiy/y+uuvN/NWNZzRfSotebPiEZBZ6x9BaAmmSiXjfAP5PepisyzveE4UzqY2hNgHNMvymmq212ACrdz58vI/GCSJxX/9hp2pGV+Om1Zj3mGevhxMSmBfUly16TmlJZRqtcio6Cvcxd6Ri1e1yIrKzQZguJcvbw8fy9a5ixju6dti2yQI1xLnCKEtZJTn8+6F9Sw4/DFRBSm80v02vh/0GIMdu7Z1aEIDNSYB0ZB567tubc5r2uY63tW2XWpFxbNqQyuOyTPMqRsf9rmbZ4JmYq7oeEnpLvaOxOTmcGdwbzZFXeSPyxHNtmxrEzWf3jKFY6lJvH14b5NS29d+39bE72eSez+mevRvniCNzOaU49iYWNDJ0o3taWdwVFsz3rVPW4cltAKDwUB5eTkhISGoVCp27txZ9VpkZCQJCQmEhoYC8Ntvv3HmzBnCwsIICwvjm2++AWD//v0sXbq0TeKvZFSJI3GBLtxMBrp5Yq5SsTU2qlmWdyLnMlGFKdzuM6JZltdUY916syv9LDvSzuARkElqcSEv7d9OdycXTOT/PmlSyeX0c/XgSEpijWVoDQbCMlLp7+bBQDdPghycOXdVV7ekwnxuWfM9gV99xMDVX3IpJ4uVk2dxW1CPOuMKdnDmw1ETuTUwqFocgnCjRAKpdYh9/K/44gxeOLua+4/9HwXaEpb3uYvP+z2Aq6ldW4cmNEBDEkIt1arRWI9Xna08yNUUkVmeX//MN8hGZc4nfe/j3d6L6Gnry3TPgXw94GEslXW3SGnOfWYs+7+TnQPReTm4W1pxKj2lWZc9u0swdqZmPLHr7yYlA2vbR+sTD7Ex8TBPd51Bdxuf5gjTqEQXVnQR9LN0IaowhYiCJPo5dGrjqITm9vzzz7Nv3z7i4uI4d+4czz//PHv27OGOO+7AxsaGe+65hyeffJLdu3dz8uRJ7rrrLkJDQ6sKYwcEBNC9e/eqP35+fgAEBQXh7OzclptmPIkjYznICg0nWm9d31BPX1KKCojOy2m2Zf4ct49Qxy74Wbg02zIbS2fQ46S2qTbNXKmiRKtFY/i3HkdPZ1fMVSoOpyTUupyUokIC7Rz4v3HTOJaaxJqIc9Vev5ybjdZgIL24iEV//cZvkeEsGz4OC5Wq1uX9J3Q4s7oE88mYySzo3vvGNlIQatFRjnHDPX2xM21k3xmhRYTnJ/DIya948tS3uJja8XL3uciR1f9Goc3VlRhKjnZqla6wDWll35rXcN1svLiYX/NBUkuY4BZCD1sfnj79HWN3v8JdRz7B19KZHra+N7zs9nQeCLC1J7moELVCSW5ZabMue363XmyLjSKtuKj+ma9xvX34ceQfRBYk82zQDBSyxt2mGvtno5X0FGhLsDWxAMDV1I7Eko5Z1+9mlpGRwcKFC+nSpQtjxozh+PHjbN26lbFjxwLw8ccfM2XKFGbNmsXw4cNxdXVlw4YNbRx1w7R54kgkHG4u4rP8V1cHx2qtaBqjrv24M/0MGWX53O4z/EZCuyHfxeygh60PI50rWv94BGTiYGZOdmlJtfmC7CsujFMKC/l6/HQWd++DSl5xyPG0smasbwB2pmbkl5XywNZN9T6xUsrl5JSVUlxH4cWc0lJySktatRn8zUzU+KndzX7OGurpw6ops9k3/178bFqvdcvNvE+bw9HsS7wVvoYetr4s73MXC/1G4ai2auuwhHpUJomu/nOjy7hRrZUoujbWIGsvLhQkteg6K8lkIJPJyCiraN10uTAVnUGPq6ntDS23ofvMGM6fNmpTnMwtiM3PwSBJVV0Fm8N4v0A62Tnw04UzjXpfQ753esnABxEb8bV0YbbXkEbH1hzf65b8/DLK8vExd8bexBJbE4uqVkjCzePbb78lLi6O8vJyMjIy2LFjR1XSCMDU1JT/+7//Iycnh+LiYjZs2FBV36g2I0eORJKkGiOxtYU2TRyJC8Wbk/hcK6QVFeFibtmsy9RLBtYmHGCcW+82u2k4kXOZ/RnhvNR9Lv3sK5rYersoyCotrjbfgeR4AP6YdSdjfAN4efAodt9+Dx+Nnshv0+ejNRiwMlFz/9ZN5F1T+NpEruCObr0Y4OZJsKMzn42dyq2BQSw/ur/OuD49dQRzlQq5TEaRpnkKbwpCXW7WBNLUgK7orvw2J/W2vym3sb06nRvDf8J+wMPcgQW+o1gd+iQ9bsLuHML1tVaLpebkYWaPrYlFq7U42pB4mLiidD7uey9e5o7IZDIKdaW41JM4upmOd53s7AEIS0/lXGY6Qz2b51hhZ2rGW8NuYVtsFIdrKUVQl8bs28uFqSSVZNH/JuzGdTDzIsOcu9HfIRCAmGKROBLaj+ZLPzfSzXRwFmryCMhsdxc2zS02P5fxfoHYqE2bdUSwP5KP8UCnCQxzCmZj0pFmW25jvHruF97utYDlfe7i7fC1+Fk4k6fNqzZPXH4erx7YSRd7RyKysziSksjiHn3oYu/I8dQkZMjoZO9QoyufWqFg5aRZhHp4V03LLi3h4e1/8nfMpTpjupybzaR1q+ju5MKu+Jhm3V5BqEvluay9H+88AjJRyhRM7BTA2bxY+toHEFGQWPUatGxNFoBASzfmeA/F3dyeqMIUvr68jRJ9eYuss706lBXBoawIrJRmLOu1gE9C7uOb6O1sTDpMqV4kzDuS5GindnMtbaWq6Pq60G8UKaU5JJS0bNwag44nTn3LZ/2W8L+Q+0kuzcZKacbR7LqvIerTXvZ1pUA7B/QGA7H5uexNjGVBcG8sVKo6W21DxUO7q0sOVFLIZAQ5OONva8fdPUNQyuW8uG97g2Np7L6b6RWKj4Uz7174rVHvu3p9xnpO3pF+hkX+o3ml+22E5cYSaOlGvqaEQl3zdiUUhJbQJomj9nbwFYSm+PNyBPf2DOHrCdNZsHk95Xpdg95X3++jWFdGeH4C/ew7tVniqNyg5fmwH3i1x+283mM+OoOe5Rc31jhZ/3D+dLX3vXDlQuPWwCA+GTOZ92tpQXRfr/6EuHowd9OvKOVy5DIZR1IS0RnqH640Jj+XmPzcG9w6oVJ7ujFpa+01gXT15zvAIRBrlTkZZfmU6MqJKkytdd6W2sZ5PsMIdezKyZxopnoMQC8Z+OzSXy2yrvauUFfKU6e/45HOU1jSaTzTPQcy/9CH6KSaN30dUXv7HbYXjb0hrzyHRBQk88iJFTzbbRY/hD7OyZzLRBemEV2URmRhMvHFGc0ea562mMdPfc1/us1GJVPy6rmfOZ3b8IdKMmCif2cKNeVkWV6goO58SzXBNt68M3kyMXk57E+K43hqMmYqFRP8AtHq9ZzLSic8KwMncws8razxtLLB08qavLIydsRHk96EmkFXUysU3NurH0v7DOJcZjrlej3rI89zV4++fDR6Eg9s3VQ1Apq7pRVP9R9KP1cPXC0tkSNjdXgYn5w8XPXAc1H3Pjzeb3BV3buwjFSWbN1E5jXlCWrT2OsHhUzO7T7DuSdgLL8lHOJsXlyj3n/tum/kONBS1z8xRWnsTDtLmV6DJEm81WsBGWX5PBe2kkuFzVvAXBCam0yS6i8IUlBQgI2NDV4fvYncrO4RCeojbkA6no5+8dbb2ZVfps7jQFI8S7f/WeuTnKvV9RuRIyPA0hVrE3Nii9KZ7TWESe4hTN+/rCXCbjCFTM5I5+6E5caSrSmsml7f575p5p3klJVw1981i8F9NHoi/rb2TN/wU7PHKzSeOG43jbEf+2r7XF8OnkcXaw+SS7NRy1U8fuqbOt/fXNtXGYdCJmd16BOczo1h+cWN3BcwjrneQ5mw5zX0Uv1J446sv30g/w25l8WH/0tUUWr9b+gAjP3315xa+xjd2H17dXwmciVzvIfQy9aPAEtXXM0q6qjlaYo5nx/Pmdw4zuTFciE/EalJA7w3n57SEL4YNw2AAm0J30Rv4/eko9c9Ho117c3z3WYTm5eHhcoEL+t/BxLR6PUoZDIUcjl6gwGF/N9qITmlJVirTVHK5ZzNSOP3qAusjwynQFN7i0tLlQkT/TszLbAraoWSnNISJECSoIeTC64Wlnx/7hSfnjpM4ZWu+2N8/Pl6wgz2JsZyMSsThVzOwuDeFGjK+T3qIilFBdioTbm/V390Bj0pRYU4mVvgZG7BzxfOsD4ynOi8nAa1oL/2O2mmMMFCaYq5wgQzhRqZTEZ6WR65mookmYlcSahjFxb5jaGTlRu/xO3j25jtaAwNe+B6PTdyLGjp39Z9AeNY7D+GiIIkOlu5czT7EtGFaVzOTOD1gYvIz8/H2tq6RWMwJpX5hpRIT6yt2rwMczUFhQbcuyR1uM/kWq3W4kjcfHRMxtxctDWEZaTx4LY/WDH+Vr6aMJ0Htm2iTFf7idBErmCsa2+8zB1RyOSo5Aqc1Da4m9njbeGEtcocqBjVLKU0BydTG0zkymY5sTaVXjKwM/1sjen1fe6SJKHR10yiWapMGObpy+4E0dVMaN+MqQVSQ86/JnIlw5y7sS7hIDM8B7E+8VCDl9kc2/hs0Ew8zBz4MOJ3AKIKUzBXqnExtSWltPlGprwZXb6SLPIwdxCJI6HFNbXVEVR0Ifspbi8/sRcAS6UpQdZe9LD1oaetL3f5j8FcqSa9LI9tqafZmnqa2OKmDTJyo0ICTMnVFLHw8Mfc32k8j3eZxnTPQfw38g9O5kTXmN9WZcHL3eexIy2Md8LXE3fZHh9rW3o5u6KXJPYnxlGi09Lf1YMAOwdSCgtIKiwgqTCfEp0WaxM1M/o7MNK5By+EjuDZQUPZk36exJIsopMllDI5juYWBNjac4tPAGqlksPJCaQWFWKjNkVGRVHwE2nJfHbqSI0yADvjY3h+7zZmdwlmaqeu2KjV/BB+mk9PHq7Wfe2XC2e4r1d/zFQqMkuKOZ2ewv6k+Abvt2vPN7f5DGNp4CTktYyQVq7XklaWi4OJNZYqU87nxXP/sc+IKEhu8PoaEo8xnIdrk6cpRmPQseTY50zx6M9wp2BGufRgin1vXm/r4AShFs2aOBLJIaE2xnzQbg17EmO5a8sGvpkwg5+nzOW1g7s4m1m9GF6wozNfTpqEl7kjmWX56CQ9OslAVnkBCSWZHMqKICw3hmxNIYMdg5jhOQiDZMBcoW7TxFFTrYk4x9vDx9LZzpHEwnwsVSoyS0tY0rs/ViYmfHz8+jetgtBeNHcC6XoJm+udgx/oNIHBjl1JKMnijfO/1jhuTPcchIXSlH72nbBQmnIg80KzxNSQ901068sUj/68eX5N1Q2ZUq4A4P/6PcBdRz4hT1tc53I6Okd1xdPPyhGkhI6lLboU30jy6GpFujKO50RxPCcKqGh52M3ai3FufZjmMYAFfqOIKkzh96Qj/J1yslWvd+TI0Rr05GiKePfCb2xMPMJjXabyv5D7+Sv5BMsurKs2v73aCoVMzvqEQ2glPR4BmcRHQ3xBXrX5DqckVhWV9gjIxM4eKsev3JGWxI60M9ibWDLNYyDDnYMZ4BCIbYAFBkkiu7SU1KJC/nfyML9HXSS1uJDGWBNxjjUR5647T2ZpCcuO7G3Uciu35VpWSjOWBk7iz+Tj7M8Mp0Snqapb52Jqi5upHe5m9hToStiZdoaEDjY0vbuZPWmluegkPb8nHeH3K+UnzDXG1dpGECrdcOJIJIuEhujoyaNDyQnc8eda3h85gT9m3cm22Cg+On6QpMICFvfoy6MhocQUp3LnoY/qfbq2NuEA6xIOYmtiYdQ3U9f7zNdHnuehPgP5YNQEXCwscTQzZ19SHIM9vPn6zIlGXwwJgrFrSgKpvvNrY86/jmprAqzc8LN04TafYayK3V312lCnIB4MnAhANxsv3ji/psm1Fq6Nqa7tdbOwAjLxsXDmqaAZbE4+zj+pp6pe35F2hujCNL4e+DAzvUL5LmZHk+LpCCpH2MwsL6iaZq5Q08nKDQulKYezItoqtDbREa812ip5VLnuhmhIjHrJwLn8eM7lx/NJ5J8McuzCJLcQnuo6nbv8b+GX+H1sSjraKoXgczSF2JtY0tPWl7N5cUQWJvPQiS+Z7jmIZ4Jm8HfqCcJyY6vmt1RWlPIo0v3blaupn0mOpoiVsTtZGbsTqEioGSSpqvuesX3H69pOa5U5cpmcPennOHYlOVgpqhXr+TT1HqSlf1c+Fs7E1VLfq0ArCmULxqnJiaObNWHkYeZAuUFDVrm4cW1uHT15dDojlfHrVjKtU1ce7zeYf+YuBqBcr2N94gG+urwVbQMLm0pIVX3D2yOtwcBL+7fzzIBhHE9L5lhKEguCe7Mp6iKfnBCtjYSbV1udOzenHGeiewgXC5JY0mkC5/LiOZ0bg5XSjLd63olKXnE58HHEH2xPC2u29V67vVlxbnw7cQZDPX1IK83FgERaaS4fR2yq8d7Y4nT+Tj7BTK9QVsXuFoWf65BZVpEwWuQ3imJdOf0dAuli7VH1+thdr4jR6TqAthrMoKWu7XSSngOZFziQeQEvc0fu9B3Jg50mstB3FGsTDvJb4qEWHYnqj+Rj3OLaizd6zGfxVa0ej2RFAqCWq6rNX6CtKBY9yLELCQnN+zlcW1fpRvd5c7aEvd53brrnIEp05UZR9NmYuo9X8rFwZnva6fpnFAQj0SajqhmrJ7pMY7b3EDQGHa+d+5m9GeFtHdJNp6MnjwySxO9RF9kcHclEv0DUSiWXFafJLL85uxhc7/PemxjH3sS4qv+vChcnT0FoKWG5sSSVZBFdmIZCJuf+TuN58PgX+Fo4VyWNvrq8lQ1Jh1s0Du+AHAa4VyQ1judcprOVO2+Fr6XMUPuQRRcLEpnlPRgTuRJdLXXRhIoaR6tjdzPJvR9ag66q4HBsUTpvnP9VJI06EGNPHjU1vsSSLN65sJ7vYnYw32c4C/1GMd93OBsSD7Mm4UCLPEjTSwZePfcz3w98jPd7L+b/ov7mTF4sHub2ACSXZlebP644g3UJB1nSaTxn82KbtU5PbZp6PX31/q/ts2joMuv7HEMdu3Cbz1C+urzVqFrHG0sCyVSuwtXMtkVGFBSEltKkTpQ3Y2ujCW59me09hM8u/UVqaQ7Dnbq3dUg3rZvx+9NYOoOBP6MjWR8Z3uSkUaClGxuHvUBvO79mjk4QhJtRka4MAxIrLm+lp60vIfYB+Fu6ApBVXsAPsbtaPIYSfTlvnV9DuV5LFyt3Xj77EzFFaXXOb60yp1hXJpIf9fjy8j9M2/cWi498QoG2hE1JR7nz8EdG8aS/NbX1zaAxMPZ9cCPxpZfl8XHkH8w68C4bE48wy2swvw39D493mYaz2qb+BTRSVnkhL5xZjaXKlM/7P8Dn/R5ghHN3irRlpJXm1Zj/y6gtpJbm8u3AR/l6wMPM8x5GkLUnSpmi2WODhl9PewRkVv1p6Lw3st4BDp15u+cCDmZe5Ke4xtdLag0N3RctRS8Z0Bn0VQ9uBKE9EN/WK7zNK05kXuaOuJra8VfKiTaO6ObW0VseXa2pT+BGu/bE2dSG27yHVetnb0zEZywIxsPV1I69Gec5ln0JjUGHj7kzI10qHpI0phj2jdqZfpb44kze7HkH3w18lAWHPyKjjgS6XjKgkitRyOTXHQZbqGBnYolarmKyez98LJxwN3NgbcIBfonf19ahCa2otVsetfa5PldTxBeXt/Bj3B5mew9mjtcQpnsO5J/UU6yO3VOjNdCNOJcfz/xDHzLapSdv9ryDXnZ+/N+lv2vtOltm0HLXkU8Y7NSVSe79WNJpPGqFinK9liNZkfyZcpyjWZEYrtQqag7Xa0FzI9+Bpr53mFM3Xu8xn+M5Ubx89qdm3dbmVte+a43fjlbSE1+cQbCNN38kH2vx9QlCc2h04uhmbS1yNDuSnna+BFq5czwnio2JLdtcXzCe5qLt1QCHzgAMcQrC3cze6IasNsbP1cHUnP/eMokNkRfYGNV6N8qCYAzMFCaYyk3oY+ePiVwJSITYdwLgeHbU9d/czC4XpbIm4QBPdJlWZzc1gEuFKZjIlQRauRNRkNSKEbZPCSWZ3Lrvbca69uapoOkADHAI7BCJI2M857SlG00e1bc/jeEarlBXyvcxO1kTv59bPQdxm88wJrn3Y1f6WVbF7r5ua8bG2pV+FtuLFpTpNWy9Tl0araRnb0Y4ezPCUcoUdLZyp5edH+Pd+vBBn7uILkzls6i/OZZ9qdlig7a/P5Mj456AsSz2H8Ou9LO8ce7XBtftbGttte8OZl3kVo+BvC8ejAjthGhxdMWZvDgePrGircPokIzh4qM9slCasi7hIBPdQhjn2qdq9A1jYKyfZZCjE8M8fRnm6Ut+eRm7EmLaOiRBaDVn8+JY5D+a6Z4DOZMbi+OVrh0GycDJnOhWj2eEczCnc2OqisrWZpxrb0p05WSU5bVeYO1coa6UTclHWdJpAjvSz/DBxY1tHVKLM9ZzTlur3C/13Rg3dcQpY1Gi1/BL/D5+SzzEJPd+3Ok7gtWhTxCel8ChrAgSS7Io0JZQqCtFKVNgIldSptcQUZDUqBYxja0Bp5P0XChI5EJBIr/E7yPYxpsHAyfycd972JN+juUXNxpV/Z+mCrL25JHOU+hu68MXURUtwYT67Uo/x0K/0fS3D+RIdmRbhyMI9RKJI8FodOTua015Mqgz6NFLBs7mxdLd1ruFImscY//8kgrzKdVqMVOpmN+tl0gc1aOtn2AKzeuN878yx3sIU9z7s/ziRn4c/CQAT576rkVHJ6qNuUJNX7sAPon887rzjXHtxd8pJ8hpx6NItgU7E0ssVaacy4urGsL7ZmXs5x1j0FH2kcag4/ekI/yZfIzRLj0Z7hzMfN/hWChNa50/rTSPFZf/YXtaWKv8TsLzE3j4xApGu/Tkqa7TWR36BO9d/I0DmRdbfN0twcvckXsDxnGLay8uF6by+MmvOZUrrqsaKqowhYv5iTwQOIGzebGU6DVtHZIgXFejEkduflmAuoVCEQTR+qgxdJIelUxBqV6Dtcq8rcNpF59ZXH4ei//+jTW33kY/V/e2DkcQWlWOpogVl7ey4vJWFDI56WV5rE04wPGc1umm5mHmwKvdb8PP0gVzZcW1RFpZ7nXfczgroqpbrtBwWeUFnMmNZbJ7P/5JPdXW4bSY9nDeEVqfXjKwPS2M7WlhAJgrTLBRWWCpNEUr6dEYdNibWHGbzzBe7XEbs7xCeTN8DUklzVcb6Xp2pZ8lLDeG57rN4r3ei/kz+Tj/i/zTqAcBMJErGencg/4OnXBUW+OktsHP0oXMsnyWha9jS8pJo65nZKzeu/Abn/V7gA/63M2Tp769btdtQWhrosVRB1XXxZaxtDDoiAmkxrY60hr0KOUKLJVmFOnKWjCy+rWnz+loahIv7N1GclFBW4ciCG1GLxmYuf+dVl2nn6Uzwbbe/Bq/n7jidPSSxKl6usj9mXyc8W596Wrt2W5rHF19fGzNc+z6xEO82fMOAixdiW7GWi+C0N6U6DU1WnOklObw0tl4+tj582zQTL4b+CiPn/yGCwWJrRJTjqaI58J+YIp7fx7rMpUQ+wDeDl9bNdiJWq5ioENnPM0dkMvklOk17Eg70+pd2xQyOXf738JMr1CsVeZEFCSRWppLQvFlVsXuZk/GOTQGXavGdDOJKkrlydPf8t++9/LfkPt4K3wNccUdazRMof0QiaMO6Ho3+c09KsON6ogJpMaQy+RYqkzJKM9rsxja42fz88WzbR2CIHQ45/LiyS4vJMQ+gJ/i9jSo+1nklWSRp7lDu00cXa01R7vam3GejLJ8ZnkN5v2LG1plna2pPZ57BONzOjeGe47+jw/73sP7fRaz5NjnzToqW302pxznZM5lXuo+l09D7ufvlJOYKdSEOnbBXKmmSFuGTtJjrlTzYOBE/ko+wVfRW1vlgaGDiRUvBM+hn30n1iYcZFPykVZrldWRhOcn8Pipb3i1+22sGvQETx5cgRhnTTBG8rYOQGhdTS2AePWftmAsLaGMhQwZPhZOJJVkYaU0o1DbuvVJgDb9PgiC0P5oDDo+v/Q3tioLvuz/EG6mdvW+xyDdfF0fWuvYqZcM/JVynFEuPVDIxOWeINSlRK/hubAfKNSW8mHfu7GsoyZSS0kty+WRE1/x2aW/CXXsiqe5A6tidzHv4PuM3/Mqk/e+wa373mZ17B7Gu/Xl7Z4LWuw3rZQpGOTQhf90m8XPg5+ms5U7T5/+nv+L+kskjVpQeH4CCw5/zOncGJ6+MiKmIBgbcSXRgTTXhWpbJQw6QvKoofvVUmmKhdKU7PICrFRmrV7YViSMBEFoDEe1FX8Mf4mXe8yj3KBFJVfySo/bUMtV132fj4UzADnlha0RZqtqjXPp3vTzWKvM6WPn36LraW3iHCTUp7HfkQJtCU+d/g5blQXPBM1soajqZkBiTcJ+pu17i7uP/o/VcXuqJWoKtCWsjN3Jf878QC87X57qOr3ZYwixD+CXIU/zYd+76WXrx4akQ9xx+KNWq4PX0ZUbtLxzYR0quegQJBgn8c3sIFriIqst6ja0h5HXWqN7XaGulIiCJAY7BWGpNKVI2zo1jox93wuCYJxcTO0wV6p5O3wd87yHYm9iRWcrDz7ue0/Fk/46kt+jXXqSrynmTF5c6wbcilqyi3hUUSqppTkMdwrmRM7lZlmmINwIY34ImFKaw/KLG3ij5x0cz45ic8rxtg6phtO5Mbx/cSMvBs8hoyyfVbG7mlyUWiGTY65Q42xqw0yvwUz3HMipnGheCFtFVFFqM0cuNERWeSH/jfijrcMQhFqJxFEH0Bo3+5XraI0LAmNNHl277Vf/vzHxNrQGxqmcGMa49kQlV1LUwi2OjHF/Cy3LmC/uhfYroiCJB49/waf97sfdzB5/Cxe+GfgwL539iajC6gVBTeRKRrv2ZE/GefSSAYVMjlKmoLydjTrTlIcJzflgZn/GBUa69OCjyE03tBxjIc5HQkM09XezM/0sfZM68Wy3mdiZWPBT3F6jGy3s75QTuJvZcV+ncUxw70tcUTq5mmIslGqsVeaYyJXIZXLkyJDLZBX/lsmQI0MlV2KuVGOpNMVUYVK1zGJdGcsvbmRT0lEkI9vejmZ/5oW2DkEQaiUSR0Kzaq0EkjEljxqyrS3RCqlEX4aLqS0AqaXXH9L6RhjLfhZaj0gaCc0t/8pIQDYqc2KK0njq1Hf8X78HcFBbAbCi/0Ocyo0hoTiD+OJMMsrzWdJpPPYmlmxMPEw3ay++HvgwABN2v9bq3XObQ12/q/qOsTeaRNqXGc5cn6EE23gTnp/Q6PcLQnNqzQLxTfXhxY0UaUu5v9N4CnWl/J50tK1DquGb6O0czopkknsIzmobAq3cKNaVk68tQWPQYpAkDBjQSxKSZMAgSegxoDPoKdaVU6QrpURXTrG+jDxNCRcLEsXoaIIgXJdIHAktojUuDK5dfksmOJprW66XQGrsOkp0FUPLluk1XGyh0YZE0kgQhOaQrykBwEZlAUCetpgHjn/O88GzGeHcnciCJJQyOaGOXZnlNRilXEFaaR6Pnvya6KI01gx9FoCs8oJWGU2oNTXmQci18zXkvHE2L464ogyeDZrJfcc+a9c3hx3tnNSa1znCvwxIfHF5Cz4WTkx0CzHKxBFUFFQWyWBBEFpLqyWOPMwcmO87nF62fhTpysjTFJFYks230dsoa4Vm58Y2zHxracuLjNbsvtaQ9TRlX7RU7FcnkJq6joIrT/DjizPRSfpmi62SuEDtmDrCcVFofYW6UnQGPaNcenAmL5ZcTRGFulJeOLOaWz0Gcm/AWAKt3NmXEc4zp79HLpOToymkSFeGv6Ur7mb2ADx16rubshtFU1vRNuQ8q5cMvHzuJ74Z8DCPd5nG+xc3NDlOofXU9pkaU2vrjuBkTjQPBk5EjszouqsJgiC0tkYljlJjHfHq3viRTca49OLF4DkUaEs4kHkBtUKFrcqC6Z4D8bFw4rmwH5r1QrApT+7EzVLLae0EUl0a2k2gNeO8kXUdy64Y5SKuOL25whE6uLb+jQo3Lz8LF5RyBbe49qKrtQfzDi6vem1T8lG2pJ5kkns/ngmaQVhuLFpJzzNBMzieHcVHEZuIK8pga9opLouCrbWq7zwbU5TGRxGbeD54NkW6Ur6I+qfdJeA6UsLkesdikTxqPbHF6agVKtzN7cVQ9IIgdHiNShy5+WUB6katwMfCmReD57AvM5x3wtdXK2o50KEzH/W9hzt8R/Bj3J5GLfdqzXECbQ99rts7Y93HxhhTQ2RrCnnkxFdcKkxu61CEm0B7/R0I7cMgxy5oDDriizPYnFxzpCKNQceFK10uIgqSmOLRH4Dedn7M8xnGHYc/bNV420JzJASul0DanHIcM4UJj3aZgpPahmXh69C2QGvVltCREiUNrZvYkfZJW4ktqngw52fhIhJHgiB0eC3eVe2+gHFklRewLHxdjX71R7Mv8UPMLu4LGMe5vLg2G25X3DC1HmNpfXSzOJUb3WLLFhemHYP4LQqtwcfCmZiiNO45+mmd83Sz8UZn0BNZmIxVhhlTPPqjkivJKs9vxUjbVnMNpFDXg5p1iQfJLC/gle7zsDWx4JnTK1ukq7PQNOJ4bFyyNYUUacvwMhfXQoIgCPKWXLiNypxhTt34JX5fncUYv43Zzrn8eF7vMR/bK0UzG6uhT2fq+nMzM9btEwkJQWhbHeH4JxgPXwtn4ooy6nzdVmXBLK9QIguT0Rh0HMmK5NPIzWxOPk5UQcfrntYcv826zrN7Ms7x9Onv6WPnz9NBM254PS1NXC/U1N73SXuK30ShRNMKtVgFQRCMXYu2OBruHIxMJmNPxvk659FLBl479zMrBz3Oqz1u49Vzv1CgLal63UJpykS3vky8MtxkZGEyK2N2cT4/vtpyxA1Q+2OsXdeEf4lWRzcn8bsTWpuPhROHMi/W+pqj2opP+t6PpcqUV87+DIBaoWKSewgBVm50t/HhQNaF1gzXKDRH66O6zrOncqP5b+QfPBM0kx/jdotuOIJRqes739rnLiulGSZyJbma4lZdryAIgjFq0cTRLS69OZNbMXrK9WSVF/L6uV95r/citox8FY1BR56mmBJdOW5mdihkcvZlhnMw8yKjXHqwYsBD7MsI5/Vzv7TKiGxCyxFd14yfSB7dXMRvTWht9iaWWKvMiSuuvcXRM0EzMVeqWXriy6oExgLfUQRYuQFwLPtSq8VqjG40gVRX8mhb6mme6HIr/e0DjTZx1JHOPR3t2Fzb97IlPu9etn7IZJCrKSanvJBCXWm11+XIMFOqsVCoMVeqsVCaYq0yI8DSjaFO3SjVa7hYkNjscQmCILQ3LZY48rNwoZ9DJ14790uD5j+eE8Udhz6km403diYW2KgssFCqSS3NZXfGWbLKK0Zz+z5mJ6NdevCfbrP5tN8SPoz4nZiitDq7wgnt48ZftD4ybu3hOyTUT/zGhLbga+EMUGviyM3UjsGOXXn/4oZqyQt/SxcAsssL+S5mR+sEauRuJIFU2zm2RK/hbF4c831HcLEgkYgC4xpoQZxzGq81EjEtpSGxNuZa0VFtxXNBsxjsFFRtus6gJ09b0YLI/EqyqDbFujIuFabwQtgqUkpzGrROQRCEm1mLJY7meg8lsyyf3ennGvye1LJcUstyrzuPhMTO9LMkl+bwavfb+HbgIwBkluWTUppDamkuKaU5/J1yot5lCcZD3NAaP5E8at/Eb0xoKzZX6hfWNvz7DK9BFOnK2JYaVm36n8nH6WnryzsX1tdoISA0TW033e9eWM8bPe/gy/4P8Xb4OranhbVNcNcQ55rGq+0Yf/U0Y9ynLRXTLa69eKrrdLQGPf8J+4G44gzsTSyxM7HE1sQSexNLJCSKdeWU6Mop1pVRoi+n+Kp/Z5Tl13rMEgRB6KhaJHEUZO3JJPcQVlz+p8VG64goSGLh4Y/pbuuDm5k97mZ2uJna42Zmx2CnrszwGsTTp78zuidobeHqE7MMGO3jT08nN4IdnTFVKjmWmsRf0ZFE57X+ExVxM9u+iOSRIAiNdSgrgpzyQp7ociuvna+oYyhDxiiXHsz2GsJviYcov6bb+cGsi0za+0YbRXzzujZ5lFyaw5Jjn/NGj/m8EDyHlNIcwvMT2jBC40xwtIaWbnndUc7fd/vfwj0BY9meFsZHEZuq6qYmlmS1cWSCIAjtW6MSR9M8BmBjY4NKrkBnMHAmL5YL+YnVMvLlKT68PHg2UYUprEk40OwBX00r6TmdG8Pp3Jhq061V5izvvZhPQ5bwbcx2UktzsFCaYak0xUJpit6gp0BXQp6mmKjCFJKv0wTV3cyeYU7BOKqtcFRb46C2wkpphqnCBAC5TIYM2ZW/5chlsmum1f93ib6ct86v5WBW7YVDm9ODfQbw7MDhZJYUE56VQalOywO9B/B4v8GsCDvG8mMHMEhNe8IikkAdQ0e5+LyZiN+m0JbKDVqWXVjHK91vY3XoE/wav5/xbn0ItHJnX0Y4X0dva+sQO5TUGGdu7WdDqGNXgmy88LFwwlplDsAolx5tnjgSGq+hx/ib4fxdX4JtoENndqadaXCpDEEQBKFhGpU4eiBwAiYWZmgNOkwVJpgr1SQUZ7It7TTJJdn4Wbowa+RQtHo9z59ZjV4ytFTc11WgLeHRk1/zn26zWNJpAibyis0s1Wso1pWhkMmxVpmjkMkByCkv5MOITezJqN6tztfCmc/6LcFcoSajPJ+s8gKyywtJKM6kVK9FwoBBkpCQav9bkjDU+pqh2v8HOXThnd4L+ShiE78nHWnWfXHtBcIEv85sirrIYzv/AsDH2pbZXYJ5qM9AHuwzkNSiIlaFn653ueJGtGNrjtF+BEHoOA5nRbLg8Ef8p9scHu48mWPZl3jo+BecyYtr69DaleY45i4M7s1rIWNIL8sjLDeGQ5kXiS/JIL44s81bZXT0c4qo93jjcjRFOKqt2zoMQRCEm06jEkeT97yJwqKipY1CJqeHrQ8zPEOZ6z0Ua5U5ZXoN3589zZdhx7H0rH30lNZSbtDy+vlfeefCeswUJhTpyqolsmTIsFGZE2TjxZ2+I7i/07hqiSNvc0f+F3I/2eWFzD/5YVVT15bwR9IxXuo+l2eCZpBamsPRFhxBxoDEaB9/lg0fi6OZOcO9fNHo9SQXFeBtbXvd/tziYka41s3w9FIQhNaRVV7I06e/w1ZlUVWcVmh9ld3St6ScNKrWXuJcUqGxyaPGXpvd7OftramneLvXAkIdu3I4K6KtwxEEQbhpNCpxlBLrgNzMFI+ATPSSgbDcWMJyYwEwlauIj7ZHZ6hIzlg2f6xNojHoah1xTUIiT1vM4awINAYt/wu5n+42PpzPj8dEruS93osp0Jbw2MmvWyxp5GXuyDCnbgx16kZ3Wx8AbK40F28OtV0Y3LtlI3f3CGFKpy4kFOTz6akjfHf2FKU6bS1L+JdIGhk/a5U5zwTNYGPiEU7nxrRaUceb/SK0vRO/XcHYiKRR29qfFM87R/by/KAxZJbn83vS0bYOSZxDrnG95JHYV9e3J+M8x7OjeKLLNE7mXBajLguCIDSTJhXHrvuk1TZd027UqZwYUktzmOQewvn8eOZ4D8HdzJ6FR/7bYhe4I52782bPO9AYdBzPjmL5xQ0cyowgW1NYbb4AS1duce1FYkk2W1JO3nAyIKu0hPeP7ef9Y/sbNL+46Ww/VvR/CG8LJ0a79CRfU8yOtDN8FLmpVdYtkkfCjRjk0AVvCycSS7LEE2JBaAUrwo7jamHFk8HTUcoUbEw60mblBcS5o3YN3S+V8zX0eu1m2N/1tcr6KOJ3VoU+wQLfUXwbs70VIxMEQbh5tcioau2NhMTu9POMd+vD8osbsTOxpERfTk55Yf1vboCetr7c4TsCgyRRqi9HY9Ax2qUnezPCeeP8r9d9GvJ6j/n4WboAoDPo2GYkQ+UKxudiQSKuZnaczolhoGNn+tj7t+r6RfJIaIrpngN5Jmhm1f+fOPUtx1qwu66xkiOjv0Mggxy6oJQr+D3pCHO8h9LJ0hWdZMBGZc6hrAi+vryVMsP1W4gKN6fmPr6+eWg3Krmcx7pNY7rbcFYmbGF3+rlWTSCJc0bzEfvyXwklWfwct487fEfwT+opkkuz2zokQRCEdk/e1gEYiwOZ4Tiorehm48XPcXtRyORsGPY8y3svZp73MAIt3ZAha9QyZchY4DuST0Pux1ltg0Imx9nUlkArd45nR/HuhfX1NqFNKMmkXK8lV1PEaJeeDV53c1xAiNZG7cu+jHAyy/IJsHIlriiDf1JPtXoM4jsjNIYMGQ90mgjAhN2vAeBl7tCGEbWdF4Ln8FHfexju3J1RLj34NOR+pnr0J8jGix62PnhbOHGbzzAW+49p61CFNtASSQGDJPHS/h1MWvcD0bk5vN5jPn8MfYWXgucywjkYU7mq2dd5NZHoEG5Efd+fH2J3kasp4omu01opIkEQhJubaHF0xbm8eLLLC5nuOZBl4eu55+injHTuToh9J5Z0Go9aMYVcTRGncmKIKEhCJgNvcycuF6ZSZtDUWJ69iRWjXXrib+nCqtjdfBezo0lP8ZaFr+P1HvPpYevDnozzzbGpDSISAO3PnozzrfodqYtoeWQ8jP13LCHxdvhaXgqex0+DnwLosPUoxrr2ZmXMTr6O3oa5Qs2m4S9yLi+esNwYetj60N3GB6Vcwe0+w9mUdJTUsty2DlloBa1xLI3Nz+VAUhz+tnb429oz0T2Eie4hNeZbfnFjs4z8Ks4PQnO5Xpe1coOW/4v6mzd73kGglTtRhSmtHJ0gCMLNpcUSR+1tSFEDEj/E7uTJrtPpZevHb4mH+Dl+H6vj9mAiV9LdxpsQ+06E2Hci1LEL5ko1WeUFTHQPQSGr2XCrRFfOoawIPo7cVFVAvCmKdGU8dfq7Rr3nRi/K2tPnJhgnkTwSGmp/5gUWHfkvDwVOIrIwiS0prd9Sri2pZAqW9VqAUq4guSQbW5UFb/a8A7VCxY60MNYnHgJgjtcQHu86DaVcgblS3cZRC62hNY6hViYmrL31dgJs7TmdnsK5zHRcLSwZ6O5VY979GeFNXo84HwhtYW/GeTLL8pnuOZDlFze2dTiCIAjtmmhxdJXfEg8TUZDMLK9QHgqcRD/7Tjwb9gMag45TuTGcyo2pGrrWSmlGoa60jSMWBEFo/9LKcnnl3E9tHUabmO09hAEOnXnhzCr2ZoRzp+9I+toH8MiJFZzKjamab13iQbLKC+hp60tMUXobRiy0htZKtChkchzNzInNz+WJXX+TUlRR21Ell+NtbYteMhCXn9ekB0oiWSS0hus9qNZLBjanHGee9zD+79JflOhr9hAQBEEQGkbUOLpGeH4Cb5xfw/sXNzDYKQhXU9ta5xNJI0G4PtFyrW2J/W/8pnsO5IFOE9iYdIS9V1pznM+PBypam15rd8Y5Prn05w2PrikYr+Rop1ZNuOSVl3Hn5nVYmZjwz5zFjPKuGFRBazAQnZdDXH5etbjqi68h8whCa/oz+ThqhYpbXHu3dSiCIAjtmmhxVIcyfcWoNfnakjaORBDaL9FlTRBq183aiye63MrmlON8emlz1fTzeQmU6MoZ4NCZS6ImR4fRksdJS5UJIa7u9HfzpL+rB9ZqU0q0Goq1Wkq0GnLKSnl2z1YWBffhy/HTmLJ+NVG51x+FShzXBWNyvVZH6WV5HMmKZK73UP5JPdVh6+gJgiDcKJE4qoO9iSXlei0l+vK2DkUQBEG4SVgoTbnLfwzjXPsQWZjMRxGbqg2coJP0nMqNZqBDZ36M29N2gQotriWTL97WNizq3odB7l50tXdCIZeTWVLMibRkLmZnYq5SYa4ywVJlwpQAH+Z368VnJ4/QxcGRpwcMZcnWTS0WmyC0tq+jt7Gi/0M8GzSTt8LXtnU4giAI7ZJIHNWhI3cFaG+FzQXjJlodtT7x+zVOCpmcT0Pux93Mnj0Z5/kuenuto22W63U4qq3bIEKhpbX0sdDFwpLHQkKZ27UHOaUl7E2MY+W505xISyY2v+6R+B7oPYD/DBrOttgoxvsFMtG/M1tiLrVorELj+dvYsev2e4jOzWbm77+QX16zS2tHdb1r16jCFJZdqBil2CBJ/O/Sn7V2BxYEQRDq1qKJo/acgMguL0StULXLItiV+7ypF6jt9TMTBKH5OKqt+HrAI0QWJHEhP5Ef4/Zg6MAJ9eYwxDGILtYe3H/s/wjPT6h1HnOFmqFOQXwTvb2VoxNaUmskz2d1DubVIaPRGPS8c2QvP4afoVzfsG45X4YdwyBJvBA6gojsTL4YN43T6Sl8e/Ykm6MjWzhyoaESCvMBCLBz4MxdDzP0p69IKixo46jahx1pZzCRq3i8y1T6OwSyLHwdx3Oi2josQRCEdkMUx65DWlnFk7knu96Kt3n7bC3hEZBZ9acx7xEEof0KtHNghucg7g8Yj43KvMnLmeoxAGdTG+xNrFgSOAFXM7tmjLJjmuM9hLN5cXUmjQBGOAejkivYkRbWeoEJLaK1CkWbyBV8dssUPhw9ke1xlxn9y7d8e/Zkg5NGlb46c5xPThyiq4MTX4cdp0ir4ePRkwhyaJ/XQDcjncFA568+JvpKDaqd8+7GwbTxx3m1QsFdPfry8ehJLAzug6+NbTNH2jbq+639nXKCBYc/Jr44gw/63MVUjwGtFJkgCEL71+Jd1a7X6siYWyRdLEjiw4u/s8BvFD8N7sWejPOsit1NVAsUK1XI5HSx8kCtUHEuLx6dpG/2ddS2n2+m7kMt3bqqruUb6/dX6FhM5AqW9h3EncG9cDAzR2vQoTXoGe/Wl5fOruZiQVKjl+lgYlX173K9VgwUcIP8LFzoax/AK2d/uu5849z6EJYbS0Z5fitFJjSn1j6vquRy/m/sVIZ7+fLQtj/4+wa7l/33xCGCHJyYFhjE0J++4uiCB5jVOZi3Du9pnoCFG6Yx6Jmx8WfO3v0IaqWSrybcysK/1lOs1TZ4GSvGT2eopw8XszOYHNAFE8UYDibF83vURc5lplGk1eBhaU1cQR7pxUUtuDXNr757i/SyPJ489S2Pd5nGf7rNwlFtzfcxO1oxQkEQhPapVWocXXsQv/rCypiTRxuSDvNn8jEmuIewwHckKwc9xvHsKA5nRXAyJ5roorQm1UKSIcPL3JGetr4MdOxMP/tOWF9pGZBZls9viYf4Peloi3eRM9b9XpeWuCC/0WVWvr+97cvWJuocNY2DqTn39erHqfQU9iXFUaar3oLAXKkixNWdF0NHEmBrzw/nT3NWd4rzeQnYqMx5s+cdfNH/QcLzEziZE83ahAMNruswxKkbAGqFiidPf0uxqAfRZCqZgvFufdAadOzNCK9zvlHOPRjg0JnXz/3aitEJTWUMx7QXQkcy3NuX+//5nb2JcTe8PAn46cIZxvkFMtjdG3szc85mpt3wcoXmVaAp58NjB3hqwFBCXD34ddo8Htr2J4mFdSec7UzNmB4YRE5ZKSO9/XjtwE5Wnj+NqVLJON9OLAjuzXsjxyOXyarecyApnjs3r2uNTWpW9d1bGJD4KHITmeX5PBA4kRJdGWsSDrRihIIgCO1PqxXHvt4FljEnj7SSnj+Tj/F3ygnGuPRksnt/lnSagFqhIk9TzOncGM7mxVGkLUUr6dEa9Oikiqf9pgoVtipL7EwssTWxwM7EEie1NYFW7pgr1eglAxfzE1mbcJBj2ZfQGnTM8AzlLv9bWOw/hi0pJ1mbcICEkqy23g2tzhguyBvj6niN9bsstC9qhZJvJk4n2NGFBxQDKNNpicnLJbeslCKtBj8bOzrZOSCXyQjPSmfahh+5mP1v19SM8nyWnljBFI9+TPMYyCK/0RRoS1ifeKhB63/+zCpk0KTWSkJ1T3S9lVs9B3IqJ7rWFqXmCjV3B9zCHK8h7Eg7w7a0020QpdAQxnRuCnZ0ZmFwb5Yd2dssSaNKp9NTAXikXyhJhQVsjRV1YIzR9+dOcU/PEC7lZuNtbcPe+feyKz6GLTGX2JUQQ27Zvw8fR3v78/6oCTia/dut7UByRZfZMp2OPy5H8MflCCxUKoIdXTBVKBnu5cu8oB7I4Katbrc6bg8WSlMe7TKVPG0xW1PFsbetGfM9oSB0dEYzqlpbtdxo6AFKLxnYlhbGtrQwTORKgm28CbEPoK9dAA8FTkQlr31X6iUD+ZpicjVF5GmLSS/L42DWRSIKkogsSK7x9P+9i7+x4vI/TPccxEyvUGZ4hXIo8yK/xO/jVG5Ms2yzsTKmC/IbIVohCTdKBnw8ehJd7Z2Y9fvPFGrKGeMTgK+NHbZqU2zUao6lJvHN2ROczUjjUm42Bqn6pb1CJmeEc3f62AWglwwo5YpG1WuLEAmjZmOjMudE9mUeO/V1ra9/2PduAq3c+SZ6G7/E72/l6IT6GOO5SQa8OfQWonKz+eF8897sjvcLBKCrvRPfnD1Bub75u88LN65Iq+GrM8d5rN9gJq79gf5unszr2oPloyYgSRKn0lM4kpJImV7HYyGD2ZcYx3/2bsVcpcIgSbUW1S7WajmWWnHs1xr03NurH6O8/dmV0P6uPxt6ff/l5X+wUVnwUvBczBVqNiYdaYXohNpUHmvFdbQgGCejSRxVaq1M8410l9MYdJzOjeF0bgxQMfKNQiZHKVOglCtQyRSo5Eo0Bi0F2tJGd2fL0xazMnYnP8XtYaxrb+b6DOXTfkv4v0t/83P83kYtq70wxgvzGyVOfEJTPTdwOBP8A1my9XfOZaYD8O3Zk9d9z9Xfs0nu/VjsNxoPcwfC8xKILkrjQOYFtnWwp6lmChMW+Y3GSmVGiU5DQkkG8cWZhOcnoJcMrRaHrYlFnV0E7/EfS09bXx458RWncqNbLSahfsZ8XprTtTt9Xd2Zu+lXdIbm+y6r5HIe6xfK4eQEQj282RXf/hIGHckP509zT89+3N0zhJf272BNxDmczMwZ5ePPWJ9OzO7SHUczc3YlxLB0+58V35UGVkE4mprErvgYvhg/jQ2XLrA7PobjacnVWjIZu4Ze379/cQMl+nKeDpqBrYkF38fsbIXohKvVdrwV19GCYFyMLnHUGuo6ON3IgUkvGdBLBsoNDS9OWB+tpOfv1JP8nXqSZ4JmMt93OGsS9rfqDU9rMOaL8+Ygmt0KjRHq7sUDfQbw5qHdbI+rP5Fw7Xdrod8olnSawM60s7x09kcutUBB//ZimsdAFviN4nJhKqYKFW5mQ1HI5PyRdIz3Lv7WKjEMcuhCbzv/WotiPxQ4kTt8R/JF1BaRNDIixn5OslGb8p+Bw9lwKbyqdUhzmRfUE3dLa06lp5BZUsw5Ud/IqBVrtawIO87TA4byZdgxkgoLyCwtYW3EedZGnL+hZRskiYe2/8HdPfoyv1tvbg/qCUBGcREpRYXEF+RxJiOV42nJVQ842isJiU8vbSZfU8ySwAnYqCz4JPLPJtUxFZqfuI4WBOPQqMTRrYFBbE1JQGNo2WbLbXWAMOYD05/JR5nuOZA+dv6cyLnc1uE0G2O/QBeE1vb0gKGcTEvm27MnsTZRM8LLl+FefrhYWFKu07Ez/yAX8hMpM2gp12vRXXVdO9wpmCWdJvD15W2sjBVPTD3NHbhUkMxdR/8HgIlcyR2+I1nkN4qvoreSq2n50YIme/QjrTSPnelnq02f5N6PO3xH8nHEpgbXnRJaVns5Hz0zYChKuYJ3DjdvC2QzpYpH+g7iVFoK0zoF8c6RveK2uR1YHR7Gfb36sbTvIJ7fu61Zl12m0/H56WN8fvoYHpbW9HPzwNfaFndLawLs7Bnv1wlTpYro3GzWRYbz26VwMkuKmzWG1rQqbjf52hKeDpqOu5k9H1zcKEa4NBLGfI8mCB1FoxJHbw8fy0sKOd+fO8XPF85QoClvqbhaTH0XhsZ6YIooSKZIW0YXaw+jSBw1x35qLxfpzUE0txUaqruTCx8dP8hDfQbwQO+BWKvVXC5MJb44E1crG971W1Rt/qzyAi7mJ3KxIIkpHv05lHlRJI2uMFOYYKE0xVxhQoleg8agY39GOPcGjMXdzL5VEkd/p5xktEtPBjl04Uh2ZNX0aR4DOJwVIZJGbay9nYeCHZ2Z360Xbx7aTWZpSbMu+5G+g7BRq3FwcePnC2dYEXa8WZd/tb4ubqwYP52pv60mrZ0N925MFDIZMwKDSCzI5/agnnxx+igJBS2T6EguKiA5qnpdJJVczgA3T+Z07c7j/UJ5ZsBQjqQkcik3m8SCPAo05RRpNBRpNcTl59ZaV8nYbEo+SmZ5Ps91m8VPg5/i5/i9bEsNI7k0u61D6/CM9R5NEDqKRiWOpq5fzQOhw3ii/2Ae7juIXy+e5btzJ0kpKmz2wFri4NDQC0RjPTAZMCBJbf/879ridXD9hEh7uzBvSTf63aprXxrj91VoPFu1KWqFkucHjUBr0LEx6Qi/xO2r9sQzwNIVZ1Nb1HIVZgoV3hZOBFl7cZvPMNRyFU9d+q4Nt8C4rE88yDCnYJb3uYunT39PqV5DkI0XANnlzX/eqs2F/IqRi4JtvMnTFpFVXoBCpqCHrQ9vnl/TKjEINbXX89JDfQYSl5/LqmYuiB1ga8+9vfqxPe4ykwO68NHxgzXmsVCpWNS9D1+dOXFDdZWsTdRsmHEHUNGiRajfaG9/eji5kFVaQnpxEafSU8gpK8Xe1IxlI8ZVzeduad1iiaPaaA0GDiYncDA5AWsTNVMCujDK25+hHj54du2BmUpVbf7dCTG8dWgP0Xk5rRZjUxzKimD+oQ+5P2Acd/iO5N6AcUQWJPPl5X84ln2prcPr0Iz1Hk0QOoJGJY5i83N5fu82Pjp2gIXd+7AguDeLe/Rlc3QEX4edIDw7o1mDa8uDg7EdmGTIUMtV6Nq4vlFdF9vt9SK8LTS29VFD9q2xfV+vJb4fDVOq03E0JZFCeQ5fXf6H5NKaF9fRRWlEF9Ved8RMYUKpXtPSYbYbEQXJPHn6Wz7uew/v917MqtjdPBQ4kX9STpFWltsqMZgqTDBIBu4OuIW7A26pml6gLeFkjqhr1Jra+3HI08qGCX6BvHpgJ/pmfoj0xtAxpBQVkFdWSkxeDlm1tGZ6e/hYpgd240RaSpNrK1mZmLD21tsA+PNyBHnltReNF/7V1d6R7ybNBEBnMKCUyzFIEmcz0ziTkUZSYT6eVjYMWv1lm7beKtCU8/PFs/x88d9uuUq5HHOlCisTNf3cPHhu4DB23nY3p9JSWB95ns3RkUbbe6FYV8bHkX/wRdQWBjl2YaZXKB/3vYffk47yf5c2UyLOtW3G2K95BeFm1aTi2JmlJXx4/CBfnD7GnK7dubdnP6bP6caBpHi+CjvOvqS4ZglOHBT+5WPhhFqhIrootUnvD3XswiyvIeRritmfeYGj2ZGNvsFsbxfdDqbmuFpaEpuXS4mu+YqWN5frnfiasq9vhu5wtmpTirUatM04SlB7Uq7XMe+PNU3+DEXSqKbw/ASeOvUdH/S5m/+G3EtOeSH/u/Rnq6xbIZOTXpbHtH1vY65QY6k0xVFtjb3ailM5l8kUtTNaRXs7d9Xl7h59KdCUs/5SeLMud2nfgQzx9GHxX7/x2tDRHEpOqDGPu6UV0zoFAdDV3qlJiaNOdg6sGH8rAbb2ALy8f8eNBd5BROZkcSApHk8ra25Z8z2OZuYM8fBhlLcfA9w8ySktZWd8DPnlxpeA0RkMFGjKKdCUkxxVwJboS9ziG8DsLt15c9gtvDJkFFtjL/PfE4eIzW/+ZH5zXA+VGbTsyTjPnozz3OoxkIc7T2agQyDLwteLQQ2akUdAZqOO1SJ5JAitTyY1oO9TQUEBNjY2eH30JnIz0xqvK2QyJvh35v5e/enl7MrF7Ey+PnOcPy9HNPkGsCUOBo05IBnbwWiqR3+eCZrJhsTDqOQKsssLyS4v5EJ+ApeL0uoc+SEn3p0XQ0dwZ3BvTqWlYKpU0s3RmTKdln2JcWyMusiu+GjK9fpW7W7W2BNEQ6nkcib6d2Zx9770dXWvmp5YkM+l3CwuZmfy3dmT5DTjcLLWJmrK9XrK9cbT5N7Yvr/1fdYmcgUvDh7JguDe6A0GjqUm8eyerSQX1ayHULltrXEzqFYo8be1I6u0pMUKfsplMlRyRbXvj7F9fnVxVFvzVs878bVw5kJ+Iufy4wjPSyBLU4iJXEFaaR55WuMolGqmMMHZ1Jac8kIKdS0/nPTDnSczz3soYbmx7Mk4h8agY29GOAXa5q1LI9TtZkkYQcV55tCdS/j+3Ek+rKUbWVOYKVUsHzmeKZ268smJw5zOSGHlpFnM2/QrR68khixUKu7uEcJ9vfpTptOSUJiPUiZnxsafar3q6O7ownAvH7ytbfG2tsXN0gpzpQpTpRJLlQkKuRyA/508XGt3OKF23R1d2Dx7AQ9v/5PN0ZH1v6EdcDa3YHpgNxYE98ZarebOzeuafXS2ljiXupna8ULwHPraB/Dm+TX8k3qq2dfRUTXlmN1erpcaQ1dczrEZn5Cfn4+1tXVbh9NqKvMNKZGeWFvJ2zqcagoKDbh3Sepwn8m1miVxdPWPtredH/N9RjDEKYgSXTm74mI5npbMidRkLuZkYmhA8+qWOgi058TRf7rNJsTOH3dzBxKKMzFXqrEzsUQhk5OvKeZUbgwncy5zPj+BIm0pOsmAY3EQL4SOwM3CircP7+HHC2cA8LKyYbxfIFM6daG3sxv55WX8cuEsX4YdI6+8rNZtb4nE0Y0s19PKhgXBvZkc0AW1QgHAQ9v+YPmoCfja2HEgKZ51kedJLMjD39aeQDtHOts7EOLiTnZZKRPWrqRcf+OjA87uEsw7w8eRWVrMrRt+MqrRRIzpO1zf5/xoSCgP9x3Eh8cPUKzV8mDvAZTrddy64UcKNRWtaFq7jtYYH39eHzoGTysbDJLEk7v+RimX093RBSsTNSq5nFKdjlKdlmKthvTiYtKKC7mUm0Vcfl6D1tHTyZU/Zt1JVE42Y9d+XzXdmD676wmxD+B/IfdzMucyZXotPWx9sFaZV72eqyni9oMftEqixljIkPFU11uZ4RXK4axIPM0d8DJ3BODTS5v5NX5/G0d487uZEkaV7u/Vn6cGDGHoT183y3nG29qGFeOn421tw6pzp9kcE8lrQ0ZjkCTm/VFRe6u3sytfjLsVe1MzfrwQxhenj9HZ3pGfp87ly7BjrD4fhrlKhaeVDd0cnZjeqRuB9g4UlJcTl59LQkEeSUUFlGi1lOl0FGrKeaLfYJKLCpi76dd227JUBvRxcaObowtmSiXrIs63Spe7X6fNQ2vQs2Dz+hZfV2uyMjG5sm0GZm78uUH3CQ3VUudSGTLe7nknAVau3Hbwgzof3gqN19jjd3u5XmoMkTgSiSNj1aSuatf7kYblxhKWG4uvhTOjXHowwLEz4/1HoJIrKdaVcSotjUs5WVzKySYqN4uo3OyqG8P6ln2jWqqVS2voYeNDUkk27uYOPHj8C/K0xZjIlXSz8SLErhMh9gE83mUaSrmi2vvC0lO5Z8vGak2AEwvz+ebsCb45e4IAW3vmdO3Ogu69md+tFy/s28bmKy1vm5LcUcrlDPXwoauDE5YmJmyNjWr2J0gAP06ZjalSydGUJHLLSlncoy9TArria2PHjA0/cTrj3y59p9L//XcnOwe2zV3MtE5BrIs8f0MxeFha88GoiVzMyiDI0ZkHew/gjUO7b2iZzak9NeO9s1svJCQGu3tzKj2FNw7tZsX4Wxnq6ctZWf1Ppa/ezsrvax9nNx4OGYS7hRVHUpP44fypOhM6QQ5O3NmtF4VaDcuP7meYly/fTpzJ3oRYntq1hacGDOW/YyZjkCSicrMpKC9Do9djduVJupWJGmcLC9SKikPqhawMnt69hQvZde//AFt7fpk2F4DU4tYp1NzcTuZEc6kgGX9LV3ann2Pd2YOklObgZmbHo52n4GvpgqupLYVFHSNxpJDJ+U+3WUxy78f6hIOkl+XR1dqDIm0ZP8TuZG38gbYO8abXXs/x16OUy1ncow9/REU0S9Kor4s7302cgUIux0Su4MG+A3mw70Cic3NIL6mokTO3a0VXovOZ6cz+/Zeq1p9ZyQl8cuLwlVEfB1Qts0SrZVtcFG8d3s2BpPg6azA91i/0hgprtzUzpYqL9z5WbdowTx8W/vVbi63T0cyc/m6eAAzx8MHe1KxZW023tUKNhlcO7GTttNt4YdAI3jq8p61DqpeExNrEA/xfvwcIsvbkQkFiW4d00xBd1gTBeDUqceTml4XSQt2geeOKM/g+Ziffx+zERK4kyNqLXra+BNl4MdongLt6hCCXyQDILCkmp6yUYvLJ15aQry0mT1NMdnkh5/PjuVyYiqEVs/nGdgCyUprha+nMhsRD9LUPYKJ7CL/E70Nj0FUl6r6N2Y6ZwgQ/CxeKM5xRK5TE5ufU2/IhOi+Hd4/s4+uwE7w1/BY+GzsVW7UpP1440+gL8DE+/rw9fCyuFlYA5JWV8nDfQSQXFrAtLop/YqI4npaMm/+/RdSbkswzU6rwtbHj6d1bWB8ZzoejJpJXVkpYRgqL6HPdekaXc7PZGRfNvb361Zo48rG2xdncghKdlui8nOuO+FL5hKmTnQPlOh17EmIbtR2NpZDJ6OHkwiB3b/xt7bBQmXAiLRmouBHoZGvPJycP809sVNV72ssJ9a4tGxjl7c9Ad0+e6D+EsIxU8jTF9PFXczYWpnsO5BbX3jirbdAa9BzNjmRvxnkuFiThZe6Ih5kDKrmCo9mX6NWtnEWu05nZOZjo3GziC/KZ7N+Zu3r05dUDO/nhmtGIPK2s+WnKHOzNKlrKnEpL4Yl+gzmSksiivytuBt44uJvxfp1YF3n+uiPWOJia08/VnY/HTGa4l1+diSMrExO+mjAdC5UJAB8db78JhRfOrGa29xBGOAcz0yuUfE0xuZpiXM1seeHMKqKaWJetvVHI5Lza/TbGuPYCYLb3EMr1WvZknOP/Lv1NtqZ9Jgfbk5sxaQQwyb8z7pbWfHv2xA0vq5+rBysnzSKvvBR3S2veP7qfzdGR3NerH7d17UGAnT2/TpvHIHcvfgoP4/WDu9EYqrfO/fjEQb4/d5IBbp5kl5WQXFhARklxg1qKPLHzb1ZOnsXHYybz6I7Nzdq6pDWU6bR8FXacXs6uROVmc2dwb4Z7+THM04f9SfHV5jVXVrTGyiwtJrcBiR6VXE4vZzd6Obvia2OHj7UtfjZ2eFnbABCfn8cvF85QrDW+mo036mRaxQOj14eOAWgXyaNzefHkaYoZ6tRNJI6amUgeCYJxalKLo8bSGHScyYvlTN6/N9YmciU+5k74WbrgbuaAjYk5tioLbFQWuJnZYauywF5thYlcSYG2hDO5sUQUJFOq16AxaNEYdFf+VPy7XF/9/5X/LtNrKdL924S4voPR9Q485go1g526EmztTZCNF/YmlshlMgySxN6McH5LPNQiI/X4WboAcCo3hj+Sj3FvwFhO5FwmqjCl2nyleg0XChJJTm58k+nsshIe3PYHrwwexRvDbiGnrJQzV7X0uN4+U8nlvDHsFm4P6smu+Bju+Xsj4dkZKGQyBrh5Mt4vkAl+nbmrRwipRYWsiN3M9rSwRsdYqVSnJbEgn74u7qQVFzGrSzDP7P6HzdGRvDh4FA/1GchjO/+q8/1fnTnOuum3c0/PEL49exKAEFd3Xhw0slpdpDKdlneP7GPl+dM4mJozv1tP+rq6ozdIpBYX8n+njvDkrr+xMzVja+xlkgpbptCtuVLF0wOGMrtLd6zVaoo0GqJys9AaDDw/aASSJBGZk0VmaQlfjr+VTVEXWRF2jPTiYsr0WlJjnKsl69pCfb+78KwMEgryCLC1R2PQ8XncBpYGTsLXwpkXg+cwyb0f+zPCiSpIwVRhwhjXXszzGUaBtqRa16gCbQkmciWleg3/2buVsPRUHg4JrXr6/VT/Iaw6f5rO9o6U6XSklxSxYvytFGk1PLT9T36dNo+cshIUcjk2alNkgAScz0rnfFb9Leeyy0rYGneZ7NISrExM6pzPXGVSVSA2IjuTsIzaR0lrKeZX6v3EFd/49yK1LJdPL23m00ub6WzlzkjnHnS29uDt8LUd6mJ6aeCkqqTRpqSjbE09zcWCRDQG46l9djO7WZNGADM7B3MkJZGInKwmL8Pe1IxHQ0K5o1svcstL8bSy4f2j+/gy7BgAHxzbzwS/QPILyvC2tuE/e7fy68VzdS4vr7yMbXGXGx3H4ZREHtm+mc/HTeO9EeP5z96tzT5CXEuSgGVH9lb9XyVXMC+oB5+Nncpdf/9GuV7PlIAuTPLvgo+NbdV8uWWlnExLYV9iHAmFeShlcpRyOSq5HC9rW0I9vOjn4oGZSkWpVktcQR7x+bn8FR3JhewMjqYmkd6GI6a1hh/On0YGvDZ0DAeS41v8YdyN0ksGDmdFMNQpiK+it7Z1OB2eSB4JQstrlcRRbTQGHVFFqdd9Gq2SKehm401f+wD62vkz23swJnIlJnIlKnnDQy/RlZNWlktqaS5ppbmk+uRyPKqUc5np1Zr71nbAkSGjm40Xk937Mda1N+ZKNUklWVzITyQsNwa9ZMBKacYUj37M8xnK/oxw1iYcrJYku1EWyopWXoW6Uj69tJluNl6822sRS098WWui6ka65L15aDf2Zmb895ZJPHUqrWrEiLqWaaFS8cW4Wxno7slze7ayJuLfC029JHE4JZHDKYm8fnAXvZxdua9Xf17rcTtag449GdfvKmahUqHR62utgxCbn0s/Vw+Ge/lxKDmhqvXQm4d288mYyURkZ/LFlQviax1PS+arsOO8GDoSRzNzbNSmzO/Wi7CMVB7c9geR2ZlYq9VMD+zGa0PH4G1ty+wu3ZHLZBxLTUKSJMb7dmJ6YBB3/72BDZcuNHj/NtYgdy/eHzkeJzMLvjl7gt0JsZzNTKtq6q+Uy6s1+781MIjXhozm1sCgqmlavZ7DKYkcLTrNvozz5Gja5uKzru+Ql5UNs7t0Z3GPPpiplCwLX4fGoMPOxBJ/S1dM5EpeP/cL265KNj6in8Jwp25kaQrpaesLwMLDHzPBLYQSfRlrEw6iM+j5etyTqORy/oqOJDwrg7OZaaycNIsR3n5VyyrRapm58SfG+wUCkFRQgEIuR9/IGlg2alN8bSqeEFuZmGCiqPsYlVtayicnDnFXjxC+P1ezsObV+6k5L4TMFWoW+49muucgLJSmJJZksSf9HNFFacQXZ5BQnEmZoelPsy8VpnDpmoR2RzDcKZh5PsMACM9L4IOLG1u1lazQvruiX49aoWSgm2eTC2KbKpXc3SOEB/sMQJJgXeR55nfrxVdhx/n89L/nyEKNhjcO7eb/xk7lzs3rOHBN65nmtC3uMk/t3sIHIyfgamnJw9s3k98KNYJawmenjjAvqAc2alM2zLijxuu5ZaVYqkywMzVjhJcvw718MVFULylQqCnnWGoSH504yOHkRC5mZ2CrNqNIqzGqQTdaw8rzpxnp7c97I8Yzds33FGhubKS4lk4mHMi8wET3ENxM7UhtgQfHgiAIxqRRxbEHbHyswV3VWpocGaorSSS1QomJXFWVVKr8t1qhxEyhxkltg5uZHW5mdria2uFuZo/5lWRMSlEB4ZkZxBtiSSjOJFtTgFquwsvcke62PvS3D8TWxIL0sjz+TD7OX8nHyahlCGVTuYrxbn2Z4z0EP0sXIguSWZdwgB1pZ9BKN1aEua9dAJ/2u5+5B94juTQHJ7UN/9dvCbYmFkQWJJNSmkNUYQoHMi9WSyQ1dXQCpUzB8j6LCbB0Y/q+t6vdAF29TEczc76fNBMfazuWbP2dwykNa12wYe4MNAYdT53+rs447+7Rl+cHjUAhl3M6PYWfL5xlc3Rk1UXUl+OmMcG/M+U6HePXrazWJe/pAUN5uO8gDmVeZNmF9eReSZRcvR4Z8Hi/wSztO4giTTkfHT/EjxfCajSb/27iTEb7+JNRXMS4tSurCmBam6j5ccocyvU65mz6tUHb3Rghru7c1SOEKQFdOJqSyLN7thJfkFfv+6BihLLeLm5YmZhgplThZG7BaB9/Qt290EsGNiQdZnXsbvLbaHSn5GgnbNSmzOvag8kBXejl7EqpXsOmpKP8Er8XT3NHPupzD6mlOfhaunA061JFkhYDBknCIBmY4z2Es7lx5OtKmOs9lBPZl3ns1NfV1vN4l2lM8xjApHWric7LAeCRvoNY2ncgT+7awhifAGZ1CWbp9j+xUKl4f+QEPj91FFdLS2Z2DmbkL9/U6OrpYGqOj40tvja2+FjbVfxtY4uvtS22pmZV853NSOOh7X82Wyu0G73wdVRbM81jANM9B2GuVLMu4QDn8xIY4dydgY6dcVRXFPozSAb2Z1zgk0t/kl6W1wyRdwwzPUN5Kmg6H0X8ztbU09VauQqt52ZMHA319OHHKXP4z96tSBJ0sXeki70jzuaW6CQDWr2eAk05eWWl5JaXkVtWSl5ZKTlXEhYP9R2Ik5kFP14I438nj1Ci1fD37IV4WtuQUlRISmEByUUFJBcWkF1WyutDRvPqwV38GB7W4tsW6u7F5+OmkVdexr1bNlYdp9ubLvaOrBh/K742dgDsio8hs6QYc1VFDTxzpQp3K2v8bOyIyM7k14tn+SvmEhq9Hp1BT6lOV+3a4/F+g3m832CgYjj7Ik05hRoN4VnpfHziEJE30PKsPXC1sGTf/Pt47+i+qlbhN6qlkkdWSjP+GfVajYdbQvPoqKOsieLYoji2sWq3iaMb5WFmT2crD7pYe1T9bWtiUfW6xqDjcmEqx7IvcSw7inN5cQ1+gjzAPpC5PkMJdexKTnkhG5OO8HvSkSa39PAyd+TXIc/wXNhKDmReBCpOVnO9h+Jt4YSHmT0BVm6YyJVEFiTzdfRWDmdFNnlkAjkyngqawXTPgUze80aN4bSTo51wMDVnw4z5mCqVLP77Ny5epwjwtbbOv530sjyeP7OqanmVHEzNeXPYLUwK6Mx3Z08SlZvNRP9Ahnv5kVdWypmMNPLLyzBTqnCztMIgGfjs1FG2xV2udrIIdezKC91mA7DswnoOZ0XUWBfUbLFzrfF+gawYfyufnzrK+8eqj4Y0xsefbyfOZM7vv3D8Sq2h2vxn0HDC0lOr1R661i0+ATwfOoJ/Yi4x3MuXHk6uROfl8M2ZE/x68WyztF3o2qWIWV6Dme87HIBd6WfZkXaG01dazjWFQibHVmXRqPotgx278kLwHMwVag5nRbAz/SyHMi9SZtDSx86f13rcTnJJNm+c+5X/6/8A1ipzJCT0kgE5cuQyGRISxdoyrE3M+eryVtYlHMSAhEIm540e8+lq7YWrmS0fR2xifeIhkqOdUCuUHLrz/orukmHH2BwdiZulFRklxRy+cwn7EuN4avcW3h0xjtuCerI24hyZJcX42Njha12RILIy+ff4l1ZcSHx+HnH5ecQX5Fb8nZ9HfEEeRVrNdfZA0zXmgshRbc0QxyCGOwfTz74TGoOObWmnWRW7u0ZSyEJpio+5E12tPXkqaDrlei3T9y8TQ8cL7crNmDgKsLXn56lzcbGwRG8wEFeQx6WcLFKKClDI5JgoFFirTbFTm2JnaoatqSl2ajPMVCoANkdHsvzo/moPHlwtLBnvF4i7pTUeVtZ4XvnbwcycyOxMHt/1d6slJ7ytbfhmwgxcLax4dMdm9iQad/ekuqjkcno7uxGelVFnncWRXn7c37s/gz28icvPZdX50xxISuBSbhZmShVb5izkZFoKn546wp7b7wEgv7yMv6IjKSgv57agHvx2KZw3D+1pxS1rG/8bM5nuTi6M+fW7Zmu72VIJhbVDnmVfZjifXaq7RMLNyFltw6NdphJiH8ADx78gvhm6vl9LJI46VpJCJI6MX4dNHNXGXGGCo9oGjUFHRlneDXc18DZ3ZLb3ECa590Mhk7M7/Sx/p5zkVE50o5f93cBHySzP57mwH+qMfaBDF271HEh/h0B2p5/jv5F/cObC9T+vaw+wvhbOPN9tNt1svPg44g82JB2u9X3B+lC+mjCdCWtXNqruQm9nV36feSdPn/6Ow1mRAKTHumBvasb8br24t2c/9JKBZ3b/U61+go+1LXO6dqeTrT02alNKdFryy8twMbdkiKcPL575kT0Z1esx2JlY8kK32Qx2CqJEV45O0nMoM4IXth1u1IgkQQ5OXM7NrtFlTgZcuOcxvj57go/q6EZQub0A6yLO80/sJXbGx9SYb9nwsczv1ovs0hJOpaXw44Uw9iXGNXtnF4+ATGxU5szxHsJY1954mjuSU17I70lHWRm7s84EkhwZ5ko1MmQ4qq1xMbWls7U7Uz0G4G5mz+XCVFbH7WZH2pnrrn+IYxDv9F7I4awI3rvwW7Vk6nyfETwYOIGw3Fj2ZYaz2G9MtWRuRlk+M/Yvo6+dP+/1XkxMURpvnF9Dcml2tWU8EDiBX+P3kVqay+9JR5GQSI52IsDWnn/mLEJ1pZvAvE2/cjQ1ifG+nVgxYTrj1qzkUm4WJnIFi3r0YVH3PoCM+Pxc4guuJIjyc4kryCOhIJ/S6xRhbwoZ4GNjSzcHZ+zNzLE2MUEhk2NAwmCQKv6WJKzsi1DLlZgr1Zgr1LX+7WJqi7lSjc6gJyw3lt0ZZ9mWGkaJ/vrN/kc59+CtXncSnpfAgye+aHJCURDaws2YOAKwVJngbW1DdF5ug7suqRVK1ApFo7r6VNZsbG2WKhM+HjOJ0d7+vHNkH980QxFwY9bDyYUlvfoz3i8QlUJBWEYqT+3aws7b7gZAbzCwOjwMRzNzhnv5Yq025WxGGj2dXdkee5n7tv7ethvQCvq7erBu+u28sn8nq8JP1/+GBmqJpMLbPe/EQmnK46e+afZlGys5Mr4f9BidrNwAeOLkNxzLqfvhaFM19Zje3pNHInEkEkfGqs1qHBmjEr2GhJLmO9gklGTxUcQmvrq8lakeA5jmMYDxbn3JKMtnW+pp/kk9RWxxw4aq35R0lKeCpuOstqm1q1yJXsPujHPszjjHGJdePNZlKqsGPc6bVmurWttcj6e5A/O8hzHVoz8ppTksPbGCs3lxdc4vs6+oY2Jo5DXmncG9SSnN4WjWJSyUpjzaeQrjRvfFRKGgXKdj5fnTfHH6aFWXsErxBXl8cKz6yFOVJ4ZvrR9htEuPGomjXE0Rz4StZKBDZ/wtXTFVqJjlNZhtt3figS1/VY1IVp+6WlNJwJnMNLyvjHhSm8qm679FhjOna3f6u3nUSByp5HLG+ATww/nTvHpgZ4NiuhH52hK+id7ON9Hb6WrtwXjXviz0G0WIfQCvnPuZrPKCqnk9zBxY0mk8/R0CqxWhBijWlXEoK4KvL29ljGsvXu8xnynu/Xn3wm+11t5Sy1U8Hzybw1kRPB+2qkbytI+dH+lleRzKvMjjXaZVTS/Va9AadOxOP0svWz8+7bcEgLUJB0kuzUaGjLGuvYkpSmOie192p5/j86gt1ZbtEZBJdDR0/+5TdAY9f89ZxNK+A3GJtOTZgcM4lZbCpdyKBKjGoOfrMyf4+kzL3bzIZTL8be3p7uhMd0cXeji50M3RuapFk1avp0irQavXI5PJUMhkyGUy5LKKFldaNJToyinRl1/5W0OBtpS0sjxKdeVklOeTUppNWG5sg7sk3uYzjEc6T2Fb6mmWha8TSSNBMBJFWk2dIzTWpVyva3R9nLYa4axIq2HJ1k083X8oLw0eSVcHR17Yu73GaG43i3OZ6Ty8YzOmSiVDPLx5ftAI1t16Gw9v/5PPxk5FIZezuEdfAKJys9l46QKWJmpMFAr+jrnUxtG3juNpyXx/7iSvDBlFXH4u+5LimmW5LVHzKLO8AF8Ll2ZdprGb4NaXTlZuvHvhN/7TbVaLVfS7WWvXCUJ7JRJHraBIV8Yv8fv4JX4f3ay9mODWl6ke/bnTbySXCpI5kHmREzlRhOcnoqujHtL2tNM83Hkyc32G1tscdmf6GY7nRPFi8Bw+6HMXq2N38+Xlf2qdt5etL7f5DGeoUxB5mmK+i9nBr/H76x0JKPtKcsHZwqLqhrs+tmpTpgZ05bvY7RiQuMf/Fka79OS/Jw5yKSebs5lpZJQU17+gKyovAHakneGhwIksLZvMdzHbKdVX7yZ0NPsSR7MrLrb+SDrG6z3ns3LSLO7YvJYzNzialVwmQyGrPSuuVihZENyb+Pw8ntq9hYySIuZ27VFjvnt69sPe1IzVLVxToraLpYiCZCIKktmZfpY3e97Br0OeYW/6ecLyYrFSmrHQbxQF2hLWJhwkrigdCYms8kIyy/PJKi+oSi5sSwtjgENnnguaxerQJ1hx+R9+SzyMdNXlxBiXntiZWPLZpb9qbXH3V8pJ3u51J4sDbiGtNBdXMzu+i97BdzE7qpYzxb1/1fxv9JzP7LzBlOu19HcIrJq+PTWszn1QeSP1zZkTLB81geFefpxMS+bh7ZsbtzMbyUKlYqinL4PcvSqSRA7OmF/pShKXn8v5rAw+P3WUc1nphGdl1Bi6uSWfnilkch7pPIU53kNYHbubFZe3VvvcBKE9EDcX7ZtBknj/2H4ic7N4f8R4/GzseGDrJjJLb97usmU6HTvjYziemszXE6bz4aiJLN3+B+ZKE14IHYGdqRmBdg4E2jnwy8Wz3LrhR8obOWhDe/bmoT34WNvx2dipzPr9Z6Jys+t/UxsIz09gjvcQ5noPZf2VbvM3uzxtMSW6ch7tPAWAztbuHG+BFkdNJUZYE4SWIbqqtRGlTMEgxy6Mc+1Df4dOWKvMKdGVE5Ybw7m8eEwVJjiorcjRFPJr/H7ytSUs8B3J/Z3G80nkn6xPPNSg9cz3Gc7SzpP5Jno738fsqJrube7ES93nEmzjTWzR/7N319FR3mkbx78zk4m7uxJCCO7uDqUUKHV3t61st9t2u1t5t+7uRgtVChRa3C2BkEBICHF3z/j7ByWLE5nJTJL7c07PLplH7rFHrvlJCd/lbmFNUVKrp462V9qxYeqzPLh+VatnFbt14HD+NmIcl2x5FoPJyC8T/sEXWRt49s/kVq1/NiExZShQcE3UJK6NmsL2ssM8efCb867jqFTz0bCHqG5u4pKfzr/shTw4fCy3DhzGA+tXs/q0XwJHB4fx7fzLuGn1j0R5ePPoyPF8mbqfZ7ZvOGW5lYuvIa2inIc2nNpKxpxacwL1UDtzcchIZgQNJtzFD51Rz+bSVF5K+5mGVg7266yy5/bY2SwKG8OBqizWFu/Hy96FwV7RDPSMYkvZIZ5I/qpleU+1C4O8ohniFc3EgH4oUeKudsJOqSKxMpN79n1wxj7sFCqMJiNDvGN4OP4SXOwcefHwj3ioXfBz8ODzrPVnBLCn31QqgNEh4WRUllv0xmRIQBCX9RnAvF5xuKjtya6p4kBpMSnlJaSUHQ+JLtSVxJIXP71cg3g84VJiXAN59cgv/Jy/y2L7EsJSJDTqXgb6B/LBzAUYTEauX/ljq3+c6srslSpemzqXaZEx3Lz6Jw5VlPLS5NlMCo9Co9fjYGdHcmkxd6z9lYL62gtvsJtwUatZvuBKXNX2LPjxayqaO36+Nvc5VaVQcm/veSwOH8vB6hyeP7TcIuP92BpfBze+HP0g7mpnfivYw/OHlltsXz1trCPpqiZd1WyVBEc2QImC3u7BDPXuxXDvWOLdw6jXN1GhqSPS1R+jycTde98ns76Ye3vPY0nEOHaUp/Fs6rKWGcPO5/qoqdzSawY37nyDI3UFOKsc+GTUvRhNRt5M/42d5emYMBHrFky4sx8bSpJb9YvJlmnP84/Nf/Lt4QsHP75Ozqy//EY2lB3gv4d/ZJJ/P54deA1jvnqfwvrWD6x8NidODifGZ3nh0HJWFOw5ZRkXO0euj5rCpID+mEwmAhy9eGn3Vt7bvxsnOzV9vH1JKi1q874d7ex4afJsZkXFsvjnb9h/UgsmZzs1idffSZ1Wi5+zC+/v38NLu7ecMVZS8g1383bSLt7fv+f0zZtFe06edgpVy4DU7THIK4oH4y4mwsWfRoOGA1VZ7K08yi/5u1AplEwLHMTckGEM8IwEIK+xnN3l6XyXuwWDycQIn1j2VGS0anpbJYrzfl6tcVPpZm/PBzMXMDoknPy6Gr47fJCfMg63eZY1S1342ClUXBs1meuippDTUMqzqcs4Ute6rptC2BoJjrqfABdXPp29EE9HRy7+8WvK2tAauauyUyp5f+bFjAkO54oV33GgtJgb+g/hnqGj8fpr1k6twUDvD1+1cqWdK9jVjV8WXs3RqgquXPF9h9vzWOq8OtAzksf6LibQyYsPj67hm5zNFtmPrVAplKyc+CRuaifezVjNV9kbLbavnjbWkQRHEhzZKumqZgOMmFq6DH2dvemUxzzUzrw65GaeG3gNLxxazuvpK9hVkc4/Ei7lnwmX8WDSxxfc/pfZG5gWOJDro6fy9wNfcFnEePwdPLhmxysUNB2f/vbqyEncETsbgK1lg846Bs3plAplq8dE+PuoiRhMJt7/q8ucp70reqOhTV3TLmRD6UF+yd/F/XHz6ecRgaudI2m1+dTrm7kxehpOdg78VrCHJoOGqgpHPk9JwsvRiW8uWkK8jx/X/LaMLfk5Z922r5MzUyKi6e8XSKCLK0X1dbybtJuihjo+Sd7LvJg4BvgFnRIcGUxG7JQq/Jxd+P1YOs/v3HTWbRtMJuyVKrO9DuZwri6TreGssqegsZLb97xDk0GHCRNKFHg7uDIvZDg3RE/Dy96FXRUZ/DvlO/ZVZlJ22rhdvxbsbvX+bK1ZuJOdmi/nXUqUhxc3rPqRjbnH2lWhJS541AoVw31iubXXTKJcAvgia8NZW2gJ0VVIaNQ9lTTUc8PqH/ll4VV8OGsBl//6Hc36to3Z1NXojUbuXLuCby9awutT5zFn+ed8cjCRrw8lMy8mjpenzMZepUKlUGCw0nhU1lBYX8f961by9UVLuCy+P0sPH7zwSlZwoDqb63a+xi0xM7ir91wcVGo+PWb5cSutZbxfX9zUxwPN9LpCK1dzdtJlTQjzkuDIxtXoGvln8lc8O/Aa3hx2G9n1peyvziKroQR/x3MPynwyg8nIgeps4tyCcbNz4vLw8fyUv7MlNILjA+MCvJn+G/f0nkeos+8pA4XPChrCnOChJFdnU6trwvhXSxR3v1q4wNjbI4NCWRSXwCMbf28ZqDe3oRQ7pYoId08yqyvPv4ELOPnE8PqRFXiqXYhyCaDZqOW66Kk4qez5vTCR947+3hJQFGT6EezqxpdzF+Pu4AjAAP/AswZHvb18WXvZ9cDxgbKL6uuYHd2beTFxlDc10tvblwOlxSw9reVVqJsHdsrjiXmEu+c5699RkMelffrx3v7dZ7RGclGradTp2h2NdNYJM8olgMsjxjPCp/cpn0uDyYjBZMReefxQYzQZWVOUxCfH/qSwqWPve2tY46byjsEjiPfxY+FP35Ba3r7m6uZ631QKJdGugfR1D2OQVxRjfONxVTtyuCaPm3e9SUZ921vZCdEWJ38HzXk8ksCo+ytpqOem1T+x7OIreHrsFB7btNbaJVmcxqDn/vUrWbX4Op4cM4VHN61BY9DzQ3oqP6SnolYqe1RodMK2gly+TzvI46MmsS4702bHvtIa9bydsQpnOwfmBA/r1sHRSJ+4lv9v6a55Mki2ELZBgqMuoKCpkut3vs4In95M9O/HQM9IolwD+DJrw4VX5ngLkMFeURQ2VTIpoD/OdvZ8c1rLpmdTl/F0vyu4KXo6BpORGt2pLYHmBg+jl1sQES7+uNg54qSyZ09FBnsrMgiJ+V9rkdMP7GqlkhemTuZgdQ7bdRtb/p7110mml6d3h4Ojk2mMOh5P/rLl3/ZKO7zsXSlprj5luVgvHz6fuwiD0cSlv3zLz5dcheG0KeLc7R0Y5B/E8KCQlr+tz8nkxd1b8XNy5paBw3G1t+etxJ2syTp6xgwwWTVVPLV1HUMCglmbffScNb+2dzsrF1/D02On8I8tfxLk4sYlvfsyPTKGwQHB1Gia2V9SRFJpEUklhZQ1NuDt5Iy3oxPejk54OTqjMxpIKSvhYFlJyxgA7blJc1bZ088zEgelHVqjnnJNLdkNpefssjbMuxdXRExglG8cJc3VrClK5Fh9CXX6RpxVjrjaOWKnVNJs0FGjayS9tuCsswJagjUuMsLcPLht4HA+2L+nXaGRuW6snVT2LAkfxxURE3BTO6E3GjhaX8TS3C1sLDnY6tkcheiI07+DJ/7d0c+53ED0HKnlpTyzfT0vTJzJ71kZbMzNsnZJFpdbW8MLuzbzn/HTeCtxJ3kndXE+/celnuTZHZuYEdmLe4aO5sl2zkDbWT+mbSpJYUHoKKJdAzlW37FJWDriXMdKc7wOn2WtY37oCAB6uwWfcZ1tbu0Nj6TVkRDmI8FRF7K7Ip3df80O5qxyoPm02cPO5froqUS4+FOna+L+uIvYXp5GhfbUcYV2lKdx4643eCR+IRtKD54xhXduYzkJHuHsq8xkc2kqOyuOUHuWab5PPziP9o1rCblOnqlJ8df/nmjt01HnOjFojXpKmqsJdvJmnF9ftEY9Yc6+zA8eRU5tNdetXE5pYwP1Oh1jQsKp1jQxwC+QIQHB9Pb2RalQoD1pFpO7hozircRdlDU18tw5up6dYDSZ+Dwlic9Tks67XHpVOU9s+ZP/mzSTYDd3xoVEoDUa2JSbzdLDa/BzdmFwQBDXJgzi/mFjTlm3Wa+joqkJF7Uaz7/GQMivq+VoYw4HqrNZW5REta513QGdVPa8Pex2eruHnPL35OpsHk76lHp9M+5qZ3wd3IlzC2ZJ+Dh6u4eQXlvAvw5+y7qS5B4/hfs/x0yiormRd5Ja39UOzHsxm+ARzgsDr8VV7cTPeTtZX5JMel0hGqPObPsQoiMk+BFtsfTwQWZF9ebVKXOY8f1nPWK8ozVZGfxn/DTivH1PCY5O1tNaYdRomnl3/27+NnwcHyXvJbe2c36Eao+kqmM06JsZ79fXasGRpT8bJc3VXLL5OT4YcRe1uqYLr2AGEh4JYV0SHHVRjYbzz8R0st+Lkghy8ibI0YtvsjfzTc7ZA4+CpgruS/zwrI+9nf4bxU2VjPdL4Kn+l6M3GshrLCejrpDM+mKO1hVRqqnBUanmaH0RWqMee6UdTX+FW9dETSattoCNpcf7ps8PGUmTQcuaLMtN32mvtGOSfz/mhQxnqHcvNAYddkoVpQ0NLD2czIu7t9KkP34z/e9t63lj2jwmhEWSXlnO3uICPkrey77iQrJrqujl5cPiuH4U1de2rGNO36UdZHpkL+J9/Hh+5ya+SztIg+7M/US4e+Lh4EhlcyMVTU2n1BLm5sEA/0DGxLoR7x7GHbGzuTN2NptKU/m1YBeJlcdawrsQJ28Ge8XgqnYkr6Gc3MYy7oqdQ6izL7ftfoe8xjIclGpi3IJ4st9lvDLkJlztHIlw8W/Z347yNO7d9wH7KjPN/np0VGdfTDuoVPxn/HRmRMVy59pfW/0ZMfeFzADPSF4efCMZdYX8K2WpxX8BFOJcetINrbC8RzetYdnFl/PF3MVcueJ7qpo750bVWhxUxy/PG89yLjn5vNHTwqPPU5K4of8QHhw+lvvXrbJ2OeekMxnYWZ7OOL++fJ61vtP3f6HPhLmClFJNDQu2PNfh7bRFT/vMC2FLZFY10Wa+Dm6M8ulDb/dgerkG0cstCBe7/7Uc0hh0FDZVEubsi51Shdaop07XxNMHvyWx6njI8NqQm2nUa3g8+csOnwCc7dTM6xXH5X0GEO/ni95ooKCpghAnH9zUTiRWZvJb4R42lqSgNerJz/Q963ZUCgVKhcJqTcEV0KFhnk+/CPBQOzMraCjzQ0YQ6epPQWMF6XWF+Dq4098zAqPJiMaox0llDxwfj+jR/Z+zo/zUQasm+/fnvriL2F2Rwa6KIxQ3V1PcVHVGqzVb0pkXFUEubrw382LivH14bNNafs44fMF1zBkYqRUq4j3CWBQ2hkn+/ThQncUjSZ/RLC2MhJXIRb2whF5ePiydfxklDXVcuWIZNZpma5dkMaODw/h2/mXMXfYFqRWlFzxn9KTv3BXxA3h2wnTmLv+CwxVtO5d2ZquTGYGDeKr/FVy8+VnKNbWdtl9o3eehq7fAOfk5Oqjs0BsNFxz/q6s8Z5lVTWZVs1XS4ki0Wbmmjt8K98BfkygoUBDk5IWPvRs6k4GBnlGEOHvzfe5W0mrzOVZfcsasTfZKOxro2EXfQP9ALuvTn/m94nFWq9mcl81Lu7bh49dEuLMfu8rTWVm4l4KmipZ1zncyNZhMVh100twDYNfoGvkudwvf5W5hgGckMwIHEebsR3FzFb+k7GRDyUGajTp8HdyJcPGjQd9MWu2ZU7JvKD3IhlLbnMXkbDrrAtpeqeKKvgO4d+homvQ6Fv38bavGNerohcsgryiGeMUwwDOSCBd/fB3cUCqU5DaU8Wb6b/xasButsXvPPiRsV0+6gRWd62hVBVf++j3fzl/C1/Mu5abff6Kkod7aZZndjMhe/H30RLJqqjjUitAIelYrjGVHUrh54DBemTybJb8upU7bumEbOtuO8iM06jUsChvN+0fXdNp+e8rnAGBIQDBPjplMf78AGnQ6jlVX4mpvj7NazTuJu/jq0AFrlyhEtyLBkegwEyYKmypbZslKq82/4Dpbyw5zW6+ZPBh3Md84bmZf6pkfRTulksVxCcT7+NOs11Pd3ISLvT3xPn4M8AvEz9mFgrpaPkrey/dpBymsP7UFTFf5ZaEjWvsck6uzSa7OPutj5ZraTv81rCuzUyq5NK4f9wwdRYCzKz9lHOLZHZta1XWiI5/J4d6x3NJrBgke4dRoGzhYk8Oqwr0UNVWR21jGweqcU8YRE0KI7ia9qpyrVnzPJ3MWsmLh1dy+9lcSS2xzKvC2UCoUjAuJ4L5hoxkaGMKW/Gye2baB4B5wHdNWeqOR29f8wvIFV/Dx7IX8367N7Cu2vc9Anb6JH/K2szhsLN/lbD3neJN2ChVx7iEM9IxkgGck4S5+1Oub2VKayrc5W8744fV8elJoNHmQmo9HXgHAFylJVDQ1EurmQZ1WQ5i7B/+ZMB0vRyc+T0miVnt8eA8Z60iIjpGuasIq7BQqroqcyJLwcXjau7C/6hibSw+RUpNDuaaWWMMQruw7kARffzKrK7FXqfB0cKRJryO9soLksmL2FOWzrSAX41k+wmc7MXTnE6qcCP/Hku9znLcv7828mAh3T1YcTeP1vds5VlPVqnXb+x752Ltxf5/5TAkYQGp1Lh9mrmVv5VEJiYTN6c7HWGFbfJ2ceWfGfAb5B/HU1nV8ezjZ2iW1S6ibB5fG9WNxXAIhbu4cLCvm/3ZtYWt+TpvPGT3t+zcsMIRXpswm3N2To1UVfJd2kH3Fhdw5eCQ1mmYe2rD6rOt15vWSh9qZ5eMeo7S5hh/ytnOwOhuVUoWH2pn+nhEM9Iyir0cYjip7mgxaUqtzOVpfhJ+DO+P9Ezhck8e9+z5sdXjUls9AV79uVCtU3BQznVkBI/BzduH3Y+nct24VGoMetVLJfcPGcPugETTotDy7YyPfp6W0rGvrz126qklXNVslwZGwKieVPRP9+zEtcBBDvKJxUKmB4+PtJFdn8076Kg7V5rUsf6GT4vlOBj3losrWT4idwRLv9UUxcTw7YQZ5ddU8uH41RyrLW71uW94TT7UL/TzDAQXRLgFcGTkRvcnA60dW8Efx/rYXLkQn6SnHWGEb1EolT46dwjUJg1iXk8k/Nv9BcRfpuhbp4ck9Q0azIDaeRr2OFUfTWJaWQlJpEdC+83hP/P4pgNEh4Vzepz8zo2NbBhWvbm5i0Gdvn3fdzrpW6uMeytWRkxjv1xc7parl79XaBpKrszlQncWBqizS6wpPmZl2tG8fXhp8A7fseuuU6+ALae3noLtcK5ZkBTAnujf/N3EmiSWF3Lj6RzR/zYbs5+zCwyPGsaRPfx7e8DvLjhwPj2z9uUtwJMGRrZKuasKqmgxafi9K5PeiROwUKnq5BeLn4MGB6mxqdY1nLG/rB3tbcPpFg7xm7WOnVDLAL5BxoRHMjOpFgm8Aq4+l87cNq886493ZtPa1D3D0ZGrAQCb59yPeIxSl4vgJU2PQsbY4ibfTV1Gn796zCImurSfetArr0hmN/HPLn2zKzeLZCdNZu+QGntu5kaWH/zcmn5+TM1clDCLWy4doT29KG+pZkZnGmqyMNo2N427vQJCrG0GubgS7uKEzGkkqLeJoVcWFVz5JhLsn9wwdxYLYvpQ3NfCvbRv4/shBmvX/G5euvefsnjTO0QkmYHtBLtsLcnHbYs/wwFA+mbOQf27584Lrdla3pbTafJ5I/gofezf8HD3QGw00GTQUNlWdt+Xw/qpjAIS5+LYpOOppAqJK+PWokeKGer6/+HIeHD6OtxN3UqvVUNbYwGcHE1nSpz9RHl4t60iXNSHaR4IjYTP0JgNptQWkceYAzaL9JEhqvRhPb8aFRjAuJIJRIWG42TtQq2lme0Eu/96+kZ2FF754a+3r66F2ZnLAAGYEDmKgVxQag44d5Wn8fGgXeysy0JkM1GgbMEqXNCGEOKc/czLZ/V0+/xg9iRcmzmR+r3h+Sj9EmLsH1/cbApg4WFbCvuICenn58N9Js3h+wgyOVJaTXFZMrVaDwWhErVTh5uCAm70D7vb2uKod8HBwINDVDRe1fcv+DEYjir9mYc2squDXo2l8l3bwvK2dfByd+dvIcVwa14+Kpkb+vX0DSw8nt7SMOEHOz+1Xp9WiMRwP4PaXFrdqnRPXR53xuldo69o0G63BZERj0OFt72a2GgJdXLm+/xC25edwjO71WdtdlM/Sw8ncMnAYVycM5IcjqRQ31PPIyPEAfHJw3ynLS3gkRNtJcCR6jJ74a9zZ9ISTZVve6wF+gVzSuy+zomIJcnVDazCwr7iA9/bvZmt+DillJWab4tVRqWaCfwLTAwcxwqc3AHsqj/JMylK2lKbSaLDN2WGEOB85rnZtJ45fXfl9rNVqeHTTGlZkpvH8hBm8OHkWNZpmfj16mBd3b6VG879ZXANdXJkaEcMAv0AG+AXirFajUijRGw3UabXUajXUa7UU1ddTq9VQ0lBPUUMdRfW1FNXXU9pYj6OdHcMDQ7moVx9uGTicu4eM4t39u3lr3060xv+FQSqFgmv7DeaBYWMwmEw8t2MjXx9Kbgk4Ttbdz8udwfWvgK/5LK/v+djiddHUgAE4qNRsLk01y/bGhUbw5rR5ONnZcfugESRVDeXfKd9R0lxtlu1b04lrvsc2reXl3Vu5KmEQV/UdiKvant1F+WRUllPedGYvBlt830XX9+677/Luu++SnZ0NQEJCAk8++SSzZ88GoLm5mYceeoilS5ei0WiYOXMm77zzDgEBAS3byM3N5Y477mDDhg24urpy3XXX8fzzz2NnZ93oRsY4Ej2SLV4gO9mpuSZhELuK8jjQyl/LOqo7nzAv9B7HeHrz0PBxzInpTVljAz+lH2JbQQ67iwpo0p+7K1p7X7Pxfn35W/wl+Dq4c6Aqiz+K97Oh5OA5Z1oRoiuwxWOpaJvuEBydTMHxrsY6o/GCy5qDi1rNrQOHc+fgkRyrqeKjA3tJKi3Cz8mZp8ZOobe3L98cOsBLu7dSfVKAdTpznI+7y3vYXqFu7vx52Q18mXqAZ3dsbNc2bOW66IPhd1Gnb+KhpE/atf7pn4XVl15HnVbDrb//zPRBLrw4+AYO1eRx2+63u0XL5tOfr1qpRKlQnjWkPZmtvN8nkzGOuvYYRytWrEClUhEbG4vJZOLzzz/nxRdfJCkpiYSEBO644w5WrlzJZ599hoeHB3fffTdKpZJt27YBYDAYGDRoEIGBgbz44osUFRVx7bXXcsstt/Dcc891xtM9JwmORI9lqQssBccH5IPjYzAoUeDj5IyvszO+Ts54ODhSWF9LZnUlebU1GE0mpkRE8/TYqYS5e6A3GrlyxffsLsq3SH2ns8WTprmc7T0OdnXj/mFjWNQ7gaKGel7bu40f0w+ddXa+k7X3dfKyd+WBuIuZGjiArWWHeOPICgqaKtu1LSFsTU+/Ue0OultwZC3xPn78a9xUhgWGoFQoANhTlM/TW9eTWlF63nXNdR6W9xBuGTiMx0ZOYPHP37YMNt4WtnBNpFIo2TD1WV4+/DO/FOxq93ZOfB48HRzZf8Pd/DvlO34vSgSgj3sIH4+8l7/v/4IqbT3DfWJxs3NiVeFeMurb/rpZkzk+97bwvp8gwVHXDo7OxtvbmxdffJHFixfj5+fHN998w+LFiwFIS0sjPj6eHTt2MGrUKFavXs28efMoLCxsaYX03nvv8eijj1JWVoa9vf35dmVR0lVN9FgXOkm05UQ00D+QBbF9GRkUSrSnF4526nMuqzMYUKuOz6yhNRio02rwcXJma34O161cznMTZ/DGtLks+WUpubU1ra5BnOn0LmuX9enPM+OmUqfT8u/tG/jmUPIp3QrOtY32mh00hHvjLsJgMvJk8jesKznQ7m0JYWvkJrXrO/n4Jt25O+ZwRRlLflmKq9qe/n4BOKjs2JiXdcH1bOmGtTv4JHkf82L68N9Js1jy61Kqmts2sYQtdF/ydXBHpVBS1FzVoe2ceB5RLsdvPnu7BbOmKAkTJtJqCzhSW8CsoCFMDOiHwWSkSlvPovAx/Jq/iw8z12I0mYh2DeBwbT5aY9u6/3UWcx2zbOF9F7avtrb2lH87ODjg4HDuRjUGg4Fly5bR0NDA6NGj2bdvHzqdjmnTprUs06dPH8LDw1uCox07dtC/f/9Tuq7NnDmTO+64g9TUVAYPHmz+J9ZKEhwJcQ4nn0DOdmJSKhTcPGAYl8X3J8bTm5KGetblZLL8SAo5tdUYTcebygKUNzVS3tRAeWMjjXodAS6uxHh6E+Ppjb+zC5vystlbfHxQ8Hv+/I3v5l/GDwuu5JU921h2JAV9JzW5767USiVPj53CVQmD+Dp1P8/t3NSqmdHaexHhpLLn4fhLmBk0hN8LE3kjfQU1Z5klUIiuSgIGIc6uXqdlRysmUhCWYTCZeGjDapbOv4wVi67h4Q2ru9z74aQ63qLAy97FLNvLaijhjSO/cXfvOfg7evLvlO/QGHWUNlfj43B88O179r5PSk0ui8LGcGP0NGYGDcFeaYedUkW1toH7Ez8io67QLPWYi7nPQxIe2YbPamJxNNhWRNFcrwfyCQsLO+XvTz31FE8//fQZyx88eJDRo0fT3NyMq6srP/30E3379mX//v3Y29vj6el5yvIBAQEUFx8fpqS4uPiU0OjE4ycesybbeleEsFGnN+VXAG9Om8fMqFh+yTjMU1vXsb0g94LdnU4oaainpKGe7QW5ZzxW1tjAZb9+x+OjJvLshOncOmg4n+asYn3JwfNO3Xo6ubE7Liq2iqdib2Z0SBiPblzDd2kHL7wS7Q+NIl38+c+Aqwlw9JRWRqLbkeOKEOYjN6mWcbSqgvk/fMmrU+bw7fzL+Dp1P8/v3Ey9rnUTUFg7QMhuKGVjyUHu6T2PXeXpZhkL8bvcLRQ0VfB0/yt4e9htPH7gS/p5RvBbwR4Cnby4IXoaDyR+zPe5W1lblMSl4WMp09RypDafB/ss4NUhN3H33vfJbjh/t8vOYqlzkbXfe2Hb8vLyTumqdq7WRnFxcezfv5+amhqWL1/Oddddx6ZNmzqrTIuxrQ6EQti4EyeTS/v0Y25MHHeu/ZWHNqxma35Oq0Oj1ihrbOCB9auYu/wLCrXFPDPgKh7tu6jNtZ7837ke684clWpeHHQDo0JCuGHVjxYPjWYEDuKjkfdgwsRNu96U0Eh0KxIaCWE+5j7/yvfzVIX1dVz+63c8sfkPLo7ty9rLrmdSWJS1y2q1l9J+BmDp2Ie5vdcsfP9qGdQRW8sOcceed/FxcOenCY/jZe/K7op0/p3yHUO9Y7giYgIA1boGPsxcy8/5Ozlcm8+DiR9Toanj5cE3oUTR4To6ytKfdfkuiXNxd3c/5b9zBUf29vb06tWLoUOH8vzzzzNw4EBef/11AgMD0Wq1VFdXn7J8SUkJgYGBAAQGBlJSUnLG4ycesyYJjoRoo5CYMkKDdGgMenZauPnz4YoyHtn/GS8e/pGLQoYT7tz+k1lPCYtOcFY58MqQm+jrEcaDiR+T47ivVeu19/W5IXoqT/W/go0lB7ll11vkNvaM11l0fwWZfnIh3U2d/L7Ke9x5esp52NpMwFeHDjDz+8/IqKzgs7mLeHnybFzVFx5c1trfhyptPdfvfJ1fC3ZxSeholo97jH8mXMZY33iiXALwtndFpWj7bVxGXSHX7niVFw4t552MVSRWHSOp6hjV2gbG+PU56zp1+iY+zFxLoJMn7mrnjj61Dums98Xa77/oXoxGIxqNhqFDh6JWq1m3bl3LY0eOHCE3N5fRo0cDMHr0aA4ePEhp6f9a9/3xxx+4u7vTt2/fTq/9ZNJVTYh2+LP4ADfHzODRkeP5x5Y/Lbqvgkw/1qsP8nD8QoZ6x0gg0QpqhYrXhtxMuIsf9yd+RGrN8S6BFxr8tb0X8/ZKO66ImMB3OVt4I/23dm1DCFskF8/dn7zHorsrqK/lulU/sDgugSfHTKGvjx83rP6R4oZ6a5d2XuWaWt7JWM3nWRuYHzKC+SEjmBU85JRlanWNVGsbqNLWk9tYTlZ9MYdq8jhUm4fBdPbxMev0Tawo2NPy7ycSluDt4Ma28jQm+CWQXldI8WkDc5drjg8KHOzkbZauc12BdFsT7fH3v/+d2bNnEx4eTl1dHd988w0bN25kzZo1eHh4cNNNN/Hggw/i7e2Nu7s799xzD6NHj2bUqFEAzJgxg759+3LNNdfw3//+l+LiYp544gnuuuuu8w7E3RkkOBKiHSq0dbyTsYq/JVxCkjaJ5bsqLLq/Wl0ja4oSuS/uIpaEj0OhUODr4M6Bqiw+ylzL4dp8i+6/q5kVPJR4j1Bu2/0Oh2pPbRV2rvCoIxcHkwP642LnyE/5O9u9DSFsiYQJQliG3Ihaz/IjqRwoLebTOYv46ZKruGHVD6RVlp9zeVsJDhr0zXybs5lvczYT5OiFt4MbnmoXPO3/+k/tgre9G7FuQcwIHISDSk2drokd5Wm8k7GaMs25Z+hVK1T09QhDbzRwUchwLgoZDkBxUxXFzVWoFCqUCgUp1TkA9HEPPeO6qrNY47xkK58B0XWUlpZy7bXXUlRUhIeHBwMGDGDNmjVMnz4dgFdffRWlUsmiRYvQaDTMnDmTd955p2V9lUrFb7/9xh133MHo0aNxcXHhuuuu45lnnrHWU2qhMJkuPDBLbW0tHh4ejPjpPuxcrJt0CWFL/m/QdQz3juX73K0kVR3jj/0N1GlbN/hiW4TElOGoVHNRyAgCnDwxmaBG18D0wEFEuPjxXOpy1hYnmX2/XZECBd+NfZgjdQX8M/lri+9vcdgY7uk9j50VR3h0/+cW358QliahkRCWYckbUPnetp6fswufzVmIj5Mzc5d9SUXzuWc97WqhgRIFce4hjPbtw8Kw0VRq6rh252utWtdOocJN7URf9zAGe0fjqXbBQ+2Mn6MHsW7BANy8602r/Fhpzc93Z38G9A0adl/yOjU1NacMxNzdncgbnts9GUdX22rb0lyv5/ERG3rce3I623pXhOhinjjwFXf3nsvc4GFcEzUZ42AjmfXF7MgpYW9xAfl1Nfg6uRDq5k5FcxOlDfUcraqgrKntU7M3G3Usy9t2yt++zdnMI/EL+We/JTQbtGwuSzXXU+uyIl38CXH24f8O/2DR/agVKh5PuJQZQYNZmrOFdzJWWXR/QnQGufkUwjK6WgDRnZU1NnDDqh9ZufhaXps2h+tW/mDWCU6sycfBnQBHL1ztHHFS2bOvKrPV6+pNBqq09WwrP8y28sMAPBq/iDF+8eQ2lPHP5K85Wl9kqdJtlrQ6EuI4CY6E6ACdycCrR37l1SO/EurswwDPKAZ4RjIpKpJr+w1uWU5j0OGgUh///3o9L+3ZysfJ+1p9oXKuk5bBZOSFQz/gpLLn6f5XcM++D1rG8+mp+ntGoDcaSK227OvweMKlTPTvxz+Tv2Z9SbJF9yWEpUlgJITlWPqmU76/bVfa2MB961by1bxLuXXgcN7bv/usy3WV0GBG4CAWhI5ioNfxmeMqNXX8kLedT4+tu8Ca57enMoP5oSMId/Gjn2d4jwyOhBDHSXAkhJnkN1aQ31jBqsK9AC39z+v1TZRr6nBS2ePj4MYUl8n8fdREZkT24m8bfientrpD+zVh4j+p3/PakJt5pv9VXLfzVer1zWZ4Rl3TAM9IjtYX0WzUWWwft8TMYEbQYJ448BUbSg9abD9CWJrccAoheqrtBbl8npLEbYOG83lKEk36s183dIXw6IE+F1PYVMkzKUvZVZ5utgGsN5WmkFqTS4JHOA/HL6S3WwhvHFlh0Wuss7nQ5CaW3rcQAto+j6MQolWqdQ1kN5RSrqkDoMmgJb+xgi/KlnPX3vfwd3Zl9aXXcU3CIBQd3JfWqOdfKUtxsXPgiYQlKDq8xa5JrVAx1i+e3RXpFtvH3OBhXB89lXcyVkloJLo0CY2EsDy56bRtHx7Yg5u9A5fH97d2KR3SZNBS0FjJmqIks856ZjAZeSZlKU0GLY16DTODBvPxyHuJdQ0y2z6EEF2DBEdCWEFydTY37XuZ1cV7+Pf4aaxafC1XxA/AyU7d7m2WNFfz/KFljPKN481htxLu7GvGiruGMX59cFc783uR+QcKV6DgyogJPBK/kJ/zd/F19iaz70MIcyvI9DvjvxN/F0KInq6wvo5fMg5z/7AxTAyLPOdytn7MfC9jNVMDB3BD9FSzbzu/sYJluVvRmwzcvudddCY9H4y8mxmBx4dkcFc7c1uvmXw88h7mBA01+/5PsEYIK8GvEP8jwZEQVtJk0PJK2i/cuec98utreXbCdHZcfStDAtr/K86m0lQeTPwEPwd3PhhxN972rmas2PZN8u9Pem0BOQ2lZt2uu9qZFwdfz12957I0ZwuvpP1s1u0LYQnnutGx9RsgIboLuensGv61bT17iwv4dM4irogfYO1y2mVt8X4+ylzLDdHTSPAIN/v2VxXuw13tzOKwMTyU+AnptQUsCB2Jm50Trw+5mYWhY9AbDfyj3xJCnHzMvv8T5DslhPVIcCSElR2ozuLpjA+Z8M2HpFdV8OmcRcR5t7+1UGJVJjfvegu9ycCdsXPMWKntazRo8HZwY7BXtNm26al24a2htxLvHsaDiR/z7tHVGExGs21fCEuQcEgI6+qsG1z5rndcrVbDzat/4ouUJJ6fOIOnxk7Gw8HxjOVs/bX+ImsDabX5PNP/SoZ6x5h123mN5bya9gtTAgZwU8x09lYeJcEjnN8nP02Aoye373mHzWWpNBm0lDZXm3XfpwuJKeuU75eEVEKcSgbHFsJGmPwzuXn1T3w3/zLemX4Rc5Z/gcZgaNeJq07fxPriZKYEds1fztrr25zNxLmF8Naw29hedpgXDv1Ahbau3dvzVLvwxtBb8LR35c6975m9JZMQQoiu4eq+A1kUl8Dr+3awMTfL2uUIMzMBT29bT35dLfcNG82C2L6sOJpGVk0VWTVVJJUUUaNptumBsg0mI08mf8PT/a/gjaG3kttQxv6qLA7W5LCv8iglHQx0ludtZ5BXNIGOXrx0+Cd0RgNGjGwsSSG3sYz74+aTWJmJzmQwzxO6gJPfB1sP9YToDiQ4EsKGuIXl82z6V3wy8j7+OW0w7x5d3a7t+Ni7MTGgH5tKU8xcoe1RKZSoFEq0Rj35jRXcvPstro2czG2xsxjoFcX6kuR2bTfePZT/DLgGO6WSe/Z9IKGREEL0UEMCgvjPhOkA/HPMZDbnZeNkZ0eD7uwzS0lro67ro+S9/JJxiHuGjmZkcBhL+vTD0U6N0WQiraKMHYW5VKrziHULordbCLkNZWTWF7OjPI2shhJrl09xcxV37HmXYd69mBTQn/4e4cwLGYZSoSStNp9NJSn8WrC73QNol2tqWRQ2mreG3cbWskNsLTtEbmM5jko1A7wieTt9pZmfUeuc/p2T74YQ5ifBkRA2JquhhA8z13BX7zk4qNS8mf5bm7pGBTt589qQmzGaTHyVtdFyhdqAcX7xPBC3AIPJwF1736dMU0OQoxfzQ0eQ01DaquDMzc6JCBd/vO1d8XZwJcTJhz7uofT3jOBIbQFPJH9NmaamE56NEEIIWxTn/b+b0DqthmO3PYTBaOSxTWtZdqT7/0DT05Q1NfLk1nUAKIAQNw9GBoUyOiSMmVG9CXIZQnFzFQercwh19mGCfwJ39Z7DuuJkvszewLH6YlzsHPFUu+Bl78JAzyj6eoRR1FTFqsK9ZNQXWbR+Eyb2VGawpzIDAFc7R0b6xDHRP4Fro6dwffRUVhbu5Y/i/RyszsGEqdXb/uDoGjLqChnv15ebYqZzV++55DSUklKdi73SzqKz2rbF2cJbCZOE6BiFyWS64NGitrYWDw8PRvx0H3YuDp1RlxA93oLQkTwQdzFptfl8n7uNLWWpaI36sy5rr7TDx96NId4x3NprJo16DfcnftThZsm2bHrgIJ7uf0XLv5fmbOGdjFV8MOIuXO0cuXvvB+cNfJxVDlwVOZHLI8bjqLIHjjfzLm2u5nBtPgeqsvg5fxf6TmpyLYQ5yQWyEOajVCj4fO4ihgWG4GSnZsXRNLwdnRgWGMLwL96lVqs5ZfnOaHEk33HrO/E+2ylUzA4ewnVRUwhy8j5juSaDlpTqHMJd/Ahw9GRtURIfZq6lsKmys0vGzc6JxeFjuThkBH6OHuiMeio09VRoa6nQ1LG/Kos1RYmtapHkoFQz3KcXUwMGMiNoMMVNVSza+kInPIuOac13x5rdEfUNGnZf8jo1NTW4u7tbrY7OdiJveG73ZBxdbattS3O9nsdHbOhx78npbOtdEUK0+Dl/FzkNZdwSM4NnBlxJra6RjLpCchvKyG4o5Y/i/QQ5eXFN5GQm+CegVCgxmozsqkjnPynft7sZclcQ5uzLI/ELAdAYdGwtO8RvBXvo5xFBH/dQ7tzz3jlDIzuFigWhI7k+eirOKge+y93CH8UHqNTUUatrxNiGX96EEEJ0f0aTiRtW/Ui8tx8/LbyKPt5+hHt48Gd2plVCI2Fb9CYDKwr2sLowkSHeMfg5uNOgb6ZK20C1roGipkq0Rj0qhZK5wcO4KWY63wU+TE5DGYdr8yhtrqFKW//X8vVUaxuo0tZTo2s0+2QcdfomPj32J58dW0d/zwh6uQbh4+CGj4M7AY4e3B47iztiZ7Gt7DAao44AR0/8HT3xVLvwUNInJFdnt2xLY9SxtewwW8sOszxvu1nrtCQZG0mI9pHgSAgbllR1jDv3vke4sy9TAwcS7RpIf89I5gQP47Zes3C2cyC3oYzXj6wgp6GMrIYSyjW11i7b4mYFDcFoMpFanYvOpOfJg98AMNY3HoBIF39SanJOueByVKqZGTSEqyInEujkxarCfXyc+Yd0QxNCCHFBeqORg+UlXLtyOQt792VrQTbP7dhk7bKEFZ0+ULbeZDhvVy2DycivBbtZU5TE5ID+JHiEE+cewhCvXnjZu+CgUp+xTq2ukSptPRl1RSRWZpJYlUleY3mHazdhIrk6m+TqbIZ598Jd7Ux2Qym1ukamBgxgbvAwYtyCANAa9fySv4sjtQXn3F5qTW6Ha7IGCXqFaD0JjoToAnIby/n02LqWf3vbu3J5xHiO1BawoeRgj2slo1IocVU7kuAZzm8Fe1r+vqM8jVWFe3mk70Ju6TWD7WVp6EwGnFX2jPKNw8XOka2lh3h0/+c2MYilEJYgv6AKYTnbC3LZXmDdm2T5jndtGqOO34sS+b0o8ZS/O6vs8bR3/WtsJFc87V3wtHfB196dBI9wHuxzMXZKFWXNNRQ0VaBAgd5koKCxkuyG0lZ3MTvZxSEjeaTvwpZ/G0xGChor8HVwR280sKpwH59lrevWQx8IIVpHgiMhuqBKbT3vZLRvxrXu4I/i/WiNetaVJJ8y25kRE8+mLuP73G3MCBzEMO9eGDGhMehYUbCbH/N2UtxcZcXKhRBCCNFdnN7qqCMaDVoamyrPOfaRs8qBgV6RDPGKwcveFRMmHJRq4txDmBk0mBuip/LpsT9Zlrut1T8o6v4aO/PLrA1sL08jwsWfKBd/anVN/F6UKNdMQogWEhwJIdpsoGcUUwL64652pri5ihUFezp1kMfM+mIy64vP+XhGXSEZdYWdVo8QQgjRGaS1Uc/VaNCwo/wIO8qPnPGYp9qFm2Kmc3fvuYz1i+dfB5dSoa274DZXFe0j1NmX66KnYKdU8VXWRlbodluifCFEF6e0dgFCiK5lnF9fXh96M6N9++Dn6MEVERO4KnJSp9YQ7uzLvwdcxe29ZnXqfoUQQgghTmYLYV61roGX037mvn0fEuHiz+ej72eQV1Sr1v0gcw0fHF3DxSEjWT7+MW7vNQs7hcrCFQshuhppcSSEaBVfBzeui5rKwrDRrCtO5l8p3+Jm58RPEx4n6zytf8zJXmnH4wmXMj1wEHB8itv3jv7eKfsWoiuwhRsYIXoqSw+021O/3+15XTv7tTJnl7WOSKw6xnU7XuOZAVfy0uAbuXX32xxrxTXa51nr+Sl/J5eHj+eKyAlEuQbw6P7PAVCgQK1UYTAZzT7LmxCi65AWR0KIC3Kzc+KXCU+wMGw0Kwr28MKh5cwOGsq3Y/9Go17D9vI0i9egVqj4z4CrmeCXwAuHlvPvlO9wUtnjoXa2+L6FEEKIC7FkWCGhUdvXO/m/nqRa18DDSZ9R3FTFo/ELCXP2bdV69bomipur0BsN1OmaAPBQO/PWsFvZMPVZVk18igGekRasXAhhy6TFkRDigur0Tawq3Muc4GFcFDKci0KGA7C6cB9vpv9Gja7Rovu3U6h4ZsBVDPPuxWP7P2d3ZQa+Du5oDDoWho3h02N/WnT/QgghejZfJ2fenDaPXl4+3LDqR1LKzz4z54mAx5xhhYRG5t2WpV5PW2l1BMdnbnvx8I/8d9ANLB37MGm1+WwtO0RabT7ptYWnjH+kUigZ6BnJ3b3nEecewurCfbyS9jNwfEzLQV7RZNQVEusWTKizL8nV2dZ5UkIIq5LgSAjRKs+mLuP/Dv1Igkc4Yc6+pNbkdsqU9iFO3vwjYQnxHmE8fuALdldmAOCldkGtVDE1YIAER0IIISzqnRnziffxw83egVemzOaiH75EYzCcc/mOhAg9NSg6mSUDmBPb7u6v84HqbC7a/G/G+PZhWuAgloSPw/2vVtoVmjqqtPW42jniZe+Kg0rN4Zo8bt39Nqk1uS3bSK7OJrUmlwSPcADSawus8lyEENYnwZEQotX0JgMHqrM4UJ1l0f04q+wZ7hPLaN94pgYMoEpbz717P+BgTQ5qhYp/DbiSif79KG6q4puczRatRYiuorvfBAlhTSGu7nxzKJmf0lP5fcn13Dl4FK/u3QbAuNAILontC8C+4gK+PZyMCflOtldntdoJiSkz+3tkS62OALRGPRtLU9hYmgJAoKMXvd2CiXMPwc3OiTp9E9XaBtLrCkiuzsGE6ZT1q3UN3Lr7bfwcPAhz9uVofZE1noYQwgZIcCSEsBkXhYxgasAABnlFoVbakV1fyrLcbXyVvYFGgxYFCp7odxmjfOL418FvWVeSLAM1CiGEsLhD5aUs7N2XkUGhGE0mKpqOd9F2VdvzxtS5VGuaqWpuYlFcAtMie3Hj6h+tXHHX1NmhS09pfXRCcXMVxc1VbC5LbdN6ZZoayjQ1FqpKCNEVSHAkhLAJk/z78VjfReyuSOet9JVsL0+jsKmy5XEfezdujJnGlID+PJH8FZtK23bRI0R3Z4lfz4UQxz25dR3/GD2RMHdPlvyylL3Fx7vs3DpoOC5qe2Yv/4KShnpWL74WbycnK1fbNVmzpY4cP4UQ4vwkOBJC2ITJAQNIq83ngcSPW/7mbe/KJP/+TAkcwEDPSAwmIy+n/SyhkRBCiE5V1FDH3X/+dsrfLo3rx91DRvHmvp2UNNQzOjiMeF9/rvj1OytV2XXZQvcuc4VHttZdTQghzEGCI9EjWGKWE2Fe9fomAhw9iXULxl5px2Xh45kc0A+jycSeygyeT13OlrJD1OmbrF2qEDZLfjUXwvIi3D25su9Abhk4jG8PHWgZ62hwQBBGk4nihnorVyjaS46hQghxdhIciR7lXBcDEihZX1ptAQtCR/HZqPsAKNfU8nLaz6wrTpawSIg2sMUbn/MdY22tViHOZUJoJLcNGs7Y0AhqNM28lbiTV/dsa3n8t8wjLOqdwC8Lr+K+davYkHvMitV2HbZ2DWaOY6i0OhJCdDcSHAnBqTcucqK3jhUFu9ldkY6XvQsmE+Q0lNJs1Fm7LCG6pBM3Pk52at6aPo8vUpLYlJfd6TW0ZTkJkIQts1Mq+XD2Ao5UlHP/upWsPpaBxqA/ZZnc2hoW/PQ1r0yew8ezL+GVPdt4O3HnafNUiZPZ6jWXLQbwQghhTRIcCXEaCZGsp6S5mpLmamuXIUS3sGiEN5eEjWKcXwx+Ti6dFhy197jZHW7UxoVG8Oz46WwvzOXvm9ZauxxhRt6OTjio7Hh17/bztiSq02q5dc3P3DN0NH8bMQ43ewee37mpEysV5tLRUFtaHQkhuhMJjoQ4DxkbSQjRVf1n4NUYjEY0Bh0qe22n7LOjx8qu3vpoQWw8ER6eVGmke2134+fsAkB5U8MFlzUBb+zbgcFk5P6hY/j60H5ya2Uq866qO4TaQgjRUUprFyBEV1CQ6ScXDUKILmVDSTJ1+kZWFOzGVe1ISEyZRUNwc27b0rVaioeDIwCbcrOtW4gwOz+nv4KjxsZWr/Nx8j7Kmxp5aPg4S5UlOklXPB4JIYQ5SXAkegRznfAlPBKi5/Gxd8PfwcPaZeCgVBPo6NXq5Y0mEyqFir2VR4lw8WewVzRg/hsgS4Y8XSlA8nVyZnpkLwD2lxZZuRphbr7OzgBUNLU+OGrW6/k8JYkZkb1QK+WS+2y60nVVVzoeCSGEuclZTPQY5gyPutKFjhCi/fp7RLBs3KMsH/8YUwIGdGhb7mpnPhpxN0/1uxwlijatOzVgAN+NfZgfxj/Gt2P+RpRLQMtj9ko77oydzZ2xsxnoGdnydxc7R5oMGnZVpKM16ol3D215zBw3QJ15E2XrN2xhbh78vPCqln8fkOCo2/F1cqFW04zWaGjTejsLc3FSq+nnG3DhhUWXYOvHIyGEsAQJjoRoJwmPhOj+BnlF4aBSs7P8CE/1u5xxfvFt3ka0ayB3xc7hoxF3E+zkzZSAATzd/0p87N0uuG6Ysy+vDbmZZwZcxaHaPP5x4Es0Rh1vDruVXq5BADyecCmLwsYwM2gI7wy/g38PuApve1e+yt5AhIs/9/Seh73SjgPV2Wdsvz03P9a8abLVG7b/TppJqNvxVmnLj6RQ2SxjHHU3vk7OlLWhtdEJKeWl1GiamRoZY4Gquoeuej3VmuNRV31uQghxOgmORI9i7hsOaX0kRPe2vuQgAJtLU9lSdoj/DLiaqyInnnP5Xq5BDPGKRoECZ5UD9/W+iE9H3suMoMEkV2dzx973+FfKUoZ6x7B07MNcGTHhvPt/rO8ihvvE8p+U73j8wJdsLE3hnr0fUNxUxdvDbueWmBlMDRjAm+m/cfHmZ3ky+RsGe0Xz9ZiH6OUazKaSFBaGjabJoCWtNt+sr4012VJ4tCA2ntEh4QAcrijjiS1/WrkiYQkhbu6UNtS3eT290cjKzCNc3Cu+je0MRVdhS8cj0ToKM38bY1wD8XVwN+s2hbA1Mqua6HEsMTuGTLkqRPcyNWAgl4SNQm80kFabzxDvaJ4++C23xMzgztg5GExGluZsaVl+iFcMV0dOYqRvbwAKmypxUtnjoFTz/tHf+S53KwaTEYCchlL2VGRwffRU7uo9F61Rz/K87WetY01REv08Inis72LG+yfw4dG1ZDWUcF/iR9wVO4erIyeRXlfI74WJAKwrOcCeygzujp3L3xMWk1qTS7NBy4aS5Jb9n6ytx0JbOs7ZwkxH7vYOPDFmMgC1Gg13rP2FZr3eqjUJ81MqFIwODuPzlKR2rb8mK4Mr+w4k3N2TnNpq8xbXBXT12RJb43zHI7lGtC3+Dh78NOFx8hvLWVGwh1WFe6nUtj0UVimULA4bS6CTJ0vCjw+AX6GpI6nqGJ8e+5PshlJzly6EVUlwJISZyIWBEN3DZeHjuDfuInZXpDPAM5K8hnKCnLzRmwy8e3Q1JkzcFTuHRWFjqNM1Ya+0I8o1gPTaAp5M/obS5mpmBQ+hUa9hWe42SjVnTsNdp2/izfTfcFSpuTF6Gik1uWdtEfRrwW42laYwPXAQi8LG8Paw27gv8SMy6gr57+EfefHwT5gwnbJOra6R5w4t44/i/TzSdyEGk5Hvc7edsoxKoeSS0FEovPzIrKogsaSIgvpa876Q3ZxaqeSzOYvwdTo+aPJDG1aRXVNt3aKERfT3C8DT0YnN+dntWv9YdRUAYe4ePS44Ovm6qLuHK939+XUXWuPxcD/U2Zfro6dyQ/RUluVu4+vsTdTpW9/N2FnlwL1x81r+/UPedoZ7xzItcCBhzr7cuOsNs9cuhDVJcCR6JEv9Ui0XBkJ0baN9+3B377l8lbWRd4+u5qE+C5gVNIQGfXPLMu8fXUNBUwVBjt64qh1xUKp5I/03dlektyxzsCanVfv7KPMP4txC+HjkPdy19z32V2WdsUyNrpHledtZU5TEq0Nu4o2ht3D/vo84UldwRmh0sj2VGVy341VeH3orLw++kTv2vENBUyUhTt482e9y4j3CqGxqws/ZBY1ez3M7N7W7RUVPFO3pzZDAYAD+vX0Df2RnWrkiYSkTQiOp1WjYX9K+Qc+LGuowGI2EuVl/dsbOcq5rIVtoKWhJ3f35dQfVuga2lKbS2z2Et9NXEu0ayJLwcVwSOppvcjaxLHcrjQbtBbdTp2/ih7ztLAobA9DyvwAZdYUWq18Ia5HgSAgzk/BIiK4p2MmbZ/pfydayw7x39HcAkqqOsTBsNM52DsS6BpFRX4QJEysK9phln1XaenZVpBPvEXbBwbLr9E3cn/gRrwy+ideH3sJHmWsp19TR3zOC/p4ReKpdKGmupri5iuKmanIaS9lQcpCHkz7l3eF38MqQm/itYA/XRk2hSlvPHXveZW1iEx4Ojtw/bDT/GjeVquYmfj2adtb92+JxzRo3aXZKJTcNGMqtA4ezJS+bL1P3szb7aKfWIDrX+LBIthfkYDCdO6g9H73RSINOi6u9vZkrs00XOlZ093DlXM/vxN9s8Vja07x+ZAWPJ1zKMwOuYm/FUW7c9QaXhI7i+uipXBo+lpUFe9lclsqhmrzz/kDzVvpKjtUXE+joRVZDCfsqM/Gxd6OouaoTn40QnUOCI9FjWfLCRcIjIboeO4UKR5WavZUZLReK5Zrj3bdKmqu5udcMHt3/uVn3Oca3D9dHT+XdjNWsK0m+4PL1+mbuT/yIv8Uv4J7e87BTqihorCClJof9mmMEOHoR7uzHCJ/e+Dq4My84g6cOfsODiR/z3og7uTlmBr/k7+K9o6vJSD/e+qFG08y/tm0g1NWDh4aPY/WxdHTGM8dDao/udKOkVipZ2DuBu4eMIsz9+Gv30IbVlDY2WLkyYUmuanuGBATz1NZ1HdqOUqHE2M7gqStp7Xe9u4dH59OdjotdVVFzFW9nrOLjkfcwzKcXV0dO4vlDy1mas4WroyYxN2QYV0dNolxTy7LcbfyYt4NGg+aM7WiNen7O33XK305cNwjR3UhwJISFSHgkRNeS21jGhpKDXBQygh/ydgBwqCaP3IYydEYD4/z6kuARTmpNbof3ZadQMdavD5MDBlCuqeWr7I2tXrfRoOGZlO9448hvqBRKKrR1Z11uiFc0zwy4ik9G3svjB77kll1voVbaUdBUcdYbthd3b+X3JddxWZ/+fHXowBmPd+SYZqnjYWfdeF4UE8ejoyYS6va/WXOe37lJQqMeYHRIGHZKJZvysju0HZVCgcFMgaytaut3vKdfI8l1onWVa2r4JnszXvYuTAsciAlIrMzk82PreS3tV/p5RjDBP4E7YmczxrcPDyV9QlMrurAJ0V0prV2AEN1ZT/01TYiu6lh9ySldxvQmA29nrCTGLZCCxgruiJ2NStHxU+ddsXN4buC1TA8cRFZ9Sbu2Ua1rOGdoBJBYdYwbd75Blbaed4ffwVDvmHOGRgDpVeX8lH6Ie4eOxtlO3a6aTijI9DtjP5aYzbIzzIqK5c3pF7WERrUaDTet/pH395unu6KwbRPCosiqqSK/7sxB7ttCqVS0u6ub6DrOduwTtqlcU8fbGSt59civ/Jq/m77uoTzV/3J+HP93ro6axFDvGNzsnChuqmKgVxT9PCKsXbIQViUtjoQQQvR4wU7eVGrqsFMq8bB3QYkC41/d1baVpVGhqaOwqZLBXtH8e8BVPH3w25aZWdpqhHcsSyLG8caR31hTlHjW5u/mUqqp4c697/FgnwU80e8yKkvd+JFD51z+1b3bmBkVy2tT53D72l/P6FrTml/ILTXxgDVMi4jhvZkXA1DV3MRnBxP5PCWJak3zBdYU3cXk8GjW5XR84HOTyYRKoTBDRbapp7eckbCo62rQN/N6+goAPNUu3NN7Hrf1mkWlpo6i5ir2V2WxMvV7EquOWblSIaxLgiPRo3VGH3tpiiyEbQt28mbp2IcxmUzYKVWsKz7QEhoBmDDx/tHfeTzhUqo0dYz1jefFQTfw9wOft2rmlZOFOHnzj35L2FWezve5W8876Ka5aI16ludu46KQ4dRqzh9S5dfVcs+fv/HRrAV8PPsSkkqKyK2tJre2htTyUjQG/SnHzNOPbRc6nloreGqvaZExwPFuaV+k7KdJr7NyRaIzDfIPJNTNndXH0i+88AWUNDQQ6HL+AfBF12NLxyvRcdW6Bv6d+h3PH1qO3mSwdjlC2BQJjoQQQvRoI316YzKZeDP9Nyo0dWwoPQiAr4MbeqORal0Dqwv3Ua6pZXrgIGYHD6W/ZwRvD7ud/zv8A2m1BRfch0qh5PKI8dwUPZ1yTS3PHfq+U0KjE4aoR1DZ1MjGvKwLLrsh9xgPb/ydaxIGcW2/wfg6OQPHu2itPHaED/fv4VjN8Rlj2nPTdHp4ZMs3Xo9tWstjm9ZauwxhJXNj+lDW2MDuovwOb6uwvpZg1+4ZHPXEH8ds+bglOk5CIyHOJMGREJ1AWh0JYbsGekWR11jO6qJE4txCuCt2DiN9ehPjFoTBZCSxMpM/iw+wqTSFXRXHWx6M9+uLQqHgwxF380v+Lt4/uoY6fdNZt9/XPYxH+i4k2jWQ73K28HHmHzQbO6/lSkGmH9HTvEmvqkDfysF5f0w/xI/px7u0OdupifLwYkZULJf2SWBh7768l7SHvcX5ONmpsVMqqdY0U9HUSGVTI5XNTRccy8XWbrrc7R1o1Ota/fqI7k8BzInuzapj6WaZDa2wvo4ID88Ob8fW9LRrG1s7dgkhRGeR4Ej0aHIBIITYXnaY6YGDWDv5X8DxqXR3lafzedZ6nO0cmBowkEf6LuRv8Quo0zXh7eBGk0HLzbveYkHoSG6JmcnkgAG8m7GalYV7W1oSOavsubXXLBaFjSa9rpCbd71Jel1hpz63E8e4cHdP0irad4PXqNeRWlFKakUp7yTt4q4hI7lj8AjsVaPPuU5VcxO7CvP44MBeEks69zm31X1DR/PA8LHk1FQz8duPrF2OsBGDA4IIcXNnZeYRs2wvu6aKWdGx9PcL4GBZ+wbEtzU9LTQSQoieTIIjITqJtDoSwjatLd5PSXMNvg5u5DaUkVFfdMrjKwr24G3vypSAAXioXcisLyK1Jg+9ycDyvO2sL0nmztg5/D1hMfNDRvBS2k/4O3ryYJ+LcbNz4q30lSzP247B1DmtWc4WiKuVSpoN7RvM+2Qag55X9mzj04OJONupadTrMBiNeDo64uPojLeTEz5Ozvg7u3JJbDw/XnIle4ryeX//HtblZHZi57wLUyuVPDN+GlfEDwDgx/RUK1ckbMncmDhKGurZW3zhrqit8XlKElMiovl63hIeXL+KP80w4La1yLWMEEL0PBIcCSGE6PEOVJ9/7J9KbT3L87af87H/pH7PioI9PNTnYj4ddR8A28oO83Laz5Q0V5u11tODoRM3cedrQdmg0+KiVputhqrmJqr4X9e8Wq2G3NpTpyt/O3En0yJjuHXgcD6afQlHqyp4Y98Ofj2aZrY62sPRzo4r4gdw68DhBP015szLu7fyZuLOVm8jwt0Tb0cnarUasmuqZJr1bijSw4u0ijKzdFOD49+Rq39bxmtT5vLR7Euobm6iormJvUUFbM3P5s+cYzY7+LoERUIIISQ4Ej2WdFMTQpjTgeosbtj1BrOChlCra2RL2bmnvW+vsx23WnMs0xgMOKg695RvAv7IzuSP7EyGBgZzx6CRvDFtHrOje/P45j+oaj77mFAnONrZMSsqlnqt1mytM+K8fXlnxnwi3D35JeMwSSWF/GfCdB4YPpat+TkklRZdcBtTI6J5b8bFqFUqAL5M3c8/t/xplvqE9U0Kj2JkUCjpleUs6p1g1m036HTcsuZnpkfGEOPpQ6CLK6NDwrksvj8fHdjLf3ZsNOv+OkoCIyGEECdIcCREJ5LuakJ0bwaTkZWFey2y7Y6E3S5qNQV1tWas5sJOPtYVU8ZTGQfYUNOfv8UtYtc1t5NdU8XRqkr+zDnKqmPpNOuPd6WL8/blivgBLOzdF3cHRwA+PZjIszs2dmjw6kW9E/jP+Glk11Qx8/vPyKyuxN/ZhQeHj8XbyblVrYbGhUbwzoz5/JmTyWt7t3NF/AAu7dOPF3ZuokFnm61FROt5OTrxyuTZeP81k6Cl/JGdyR8cD0PVSiUpN91Lfl3NBdbqHHKNcn4hMWVm++FRXmshRFciwZEQnUzCIyF6Lj8HD66KnMhHmWup1ze3ah1z3KRUNDUxOTyKMDcP8sx8g9qW49nG0oMkV2cxyb8/kS7+hDuH88qUObwyZQ71Wi0NOi0BLq6UNTbwZep+vks7yITQSJ4aO4VAF1fuXPtrm8ZJcrZTMz2qFwtj+zIxPIrv0w7y5NZ1NOv19PXx4/O5i9EZjVzx63cklxWfd1sjgkL5cOYCtuXncu+fv6EzGnl//x6uSRjERb36sPTwwTZUJmzR46MmolQoeGzTGl6YOBONvuPjgl1IvI8/Dio79reitZulybVJ67Sme3BrtyGEEF2FBEdCWIGER0L0THfGzmZG0GBMmHj9yIrzLtvRwMhBZcfs6FhmRsXiaGeHv4srW666hcGfvX3BbmIX0pHjV6W2nh/zd7T8225DLMODQvBwcMTd3pFDFaWsy8lsaV301aEDlDTW8+GsS3h/5sX8364tZFZXnncf40MjWNKnP9MiYnBSq9lTlM89f6xgxV8zZA32D+KzuYvIrqnmhlU/UHmB12OQfyCfzF7IvpJC7lj7C7q/aitqqGNTXjaXxw+Q4KiLi/Tw5NI+/Xhiy58sPXyQLXk5uKjtLb7fJX36UdnUyKFy614TyDVJ27UnQJLXWQjRVUlwJIQQQliIi50j7nZOuKmdGOAZyYygweiNBkZ49z7vem0NjeyUylO6cU0Ki+Lf46cR5u5BYnEhppPa6QQ4u3QoODL3jY/eL4PlR6rPu8wf2Znc/ccKHhs1kbVLrufH9EO8vm87+ad1v3O3d+CZ8VNZENuXwxVlvL5vByuOplFQ/7/lAlxc+eqiS0ktL+XGVT/i7+zCDf2HMDoknHXZmXxycB8ag6FleTulkjemzeNIZRm3/P7zKY8BfJW6n0/mLOSJ0ZN4bucmsw2mLDrXdf2GUNHUyLK04wHgyZ8ZSwl1c2dJn/68vGcrWqPhwitYiIQZHXPy63euyQuEEKKrk+BICCuRVkdCdF/2SjteGXITg72iT/n774WJ7KhI41/9ryTU2Yf8xooz1j1baOSgskNjOLPbjI+jMw8OH8Pl8QPYW1zAR8l72VWYz/uzLmZvUQHXrVzOsZoqAFQKBUaTqU1dvTpLa8YN+S3zCGuzjnJF3wHcPWQUC2LjOVpVwbGaKrJqqqhoauTWgcNxUau5f91Kfs44fPZ9ubrhorbn/3ZtZkmffjw2aiKNOi2JJUU8OHwsk8KjuOzX71qW93JwxN/ZBaVCgVqp5PTIbX3uMZ7auo4nx0wmwsOTT5L34e7giALYnJdNo43OlCX+x1Vtz6Vx/fj0tNDQ0qaEx2DCxBcp+zttnyeTaxDzk9dUCNFdSXBkQxaHJpl9m8vzB5t9m8J8JDwSonuKdPFnsFc0X2VtZE9lBnW6Jmp1jRQ1V+Fm50RxUzUfjbiHV9J+IbHqKCYTmDBRlO2Dj+Px/x/n7cuk8GgmhUcR5+3LnqJ8Vhw9QnJZEfU6Hdf1G8ylcQloDAbeSdrF6JBwPpx1SUsNj2/+g5za6pZ/m2PKeEser1oTHmmNBj5PSeL7tBQW9u5LvI8fkR5eXBLblxA3dzbnZfPoxjUUNdSdcxuZ1VWUNtTzw4IrAfjowF7+u2sLWqOBq/sO5F/jpp4S1JU1NTJ3+Zf8cdkNzIyKZdmRlDO2+XlKEjk11bw5fR7TI3u1/L1Oq+HOtb+yJT+nPS+J6CSX9umHg0rFV4cOdOp+PR0dqdVoaLJCuCjXHkIIIdpCgiMrsERAZIl9SejUOSQ8EqL7KW6uBuBwbT57K4+e8lidvonrd77Gg30u5qn+l5+64sRT/1naUM+mvGy+Tj3A9KgY/jlmUss08GWNDbyVuIuvUvdTrWmGPdsYHRzGt/MvAzglNOoqTj8WnitIatLr+Pq0m3y1Utky9tD51Giamf/jV8yIjGVPcT6HK/63z0MVZaiUSqI9vU75e2Z1JbuL8pkXE3fW4AhgY14W477+EHd7B2q1GtzsHXht6hz+PmoiW5Z/ccG6hHUogOv6DWb1sXRKGuo7dd9F9XX4Obu0fGY6i1xzCCGEaCsJjjpBZwZF5nRy3RIiWZaER0J0D3FuIfT3jCDWLRiAOn3jWZer0zfxr5SlLMvdhoe9C5VFHigUoEDR8r8FdbUcqiht6Vr2RWoS9koVcT6+BDi7siU/+4xuNTsK87j3z99QK1Vmf27WOEa1ZfDZ1oRGJxQ31PNF6pnn5qNVx7sODvALPCU4AtDo9Xg7OZ13uzWaZmo0zS3//+XdW/l2/mVMDItkU152q+sTnWdyeDSRHl48sG5Vp+97V1Ee9Votvy66mvvXrWR/6fln9jMHudYQQgjRHhIcWUhXDYvORUIky5PwSIiuJcjRi3p9M3X646PezAsezt8TFqM16sltKGN72WHSawvPu41DtXl/hSJnjnV0NlqjgYNlJRyk5JzL/Ho0rdXPobWsfWwyx/TXrVGr1bA+5xh3DB7Bj+mpLWHU8MAQJoZHcdcf558J73SRHl4A+Du7nvHY+QbUFZ1nfFgkx6orSSot6vR959bWMHf5F7w+bS4/XnIV36cd5Kmt6886npk5WPt7LIQQouuS4MjMultgdDYnnmNXD5BaM55GZ5PwSIiu4YmEJcwOHoreaGBNURLPHVqG8a+2QXM3/otGg7ZV27G1Y5Ct64wA6YWdm1l96bWsWXI9ubU1VDY3MjggmINlxazKPNLq7czv1YdnJ0zn04P7Wrq3nev4bovno57C29Gp07uonSyntprFP3/LVX0H8s8xk0ktL+XL1P1m349cWwghhOgIswdH5wtOunrQcC49ISw6m+4SINkaCY+EsG1Bjl7MDh7Kh0fXojXquav3HPZWHqWsuQYAbwc3Gs8yW1pXZYvHI0sGSOlV5dy+9hfGhkQQ7OpGqJsHebU1vLh7S6tnpJseGcMrU+aw/EgKz2zb0KrXUMIj6/BydDo+RpgV6Y1GPk9JYmJYFPN79TF7cGSL32EhhBBdS4eDo7aEJt0taOipgdHpuvL7aqsX6hIeCWG7Qpx9APijOImCpkp6uwfzeMJiluVuByDePYz8VgRHtnjsEcf9kZ3JH9mZ7Vp3bEg4b02/iN+zMnhs01qC23Ast9VzUndWp9UwKyqW5yfO4NntG6nXta61oCX8nHGIN6bNY1J4FBtzs4DWhz4nf27k+kEIIYS5tSs4ksBEXgNheRIeCWGbmg3Hp862V6oBeDble4piKrkqchJ6o4G8xnJrlmdWcgxqmyEBwXw46xK2F+TywLqVBEWXWrskcQH3r1vJlX0H8tDwcYwODmP1sXQ+PZhIaWNDp9ey4mga83vF88b02dy86y0KmlrfclG+q0IIISxJ2ZaFF4QkmyUw6cqhy+LQpC5dvyV11ddFLraEEG3RaDg+bbaznQMAOpOB94+u4dbdb3N/4kek1eZbszyzkWNj2/T18eOzOQtJLivm9jW/4h917gHMhe3Q/dVNbP6PX5JSXsoV8QP4YNaCTq8jJKaM4JgyXsz6gmptA88NvAbHv8JpIYQQwtqsNjj24tCkLtW1qauGIp2tq72vtk5aHQlhfW52TlwRMYFIV3+a9FqcVPYAOChPPYV2l8BItF2MpzdfzLuUYzVV/DPtQ3wjNdYuSbRRdk01d/+xgmkRMXw0+xIi3D3Jqa22yL7Od16v1zfz+IEv+XjkPSwMG8M3OZssUoMQQgjRFm1qcWRuXSGMkRZGPYMthzMy3oUQ1qNSKPlw5N1cGj4We6WaQCdPfB3d+STzT1Jqcq1dnsXY8jHR1oS6ufPVvEspb2zg74c+aGmRJrqmPcUF6I1GLurVx+zbDokpa9V3K6uhhDp9E/ZKmfxYCCGEbZAz0nlIYNSzyKCkQojTjffrS5izLzfufIMjdQXWLkfYGH9nF76etwSNQc8jKe9Tq2vs8DblXGQ9bvb2KICvDx3g7iEj+SIliVptx4LA9oaw9ko77JRW/X1XCCGEaCHB0VlIYNQx0l3N/KTLmhDWsTBsNAeqsnpUaCTHmtb7cNYlODrAnXvep0JbZ+1yRAc8M24q1/Y79drFYDK2a1vm+A5tKzvMRSEj+CJrA1qjvsPbE0IIITpCfso4jYRGPZst3zDJL9BCdK4olwCGevfix/wd1i5F2KB4Hz8G+gfyatovFDdXWbsc0QEPDR/Ltf0G89Lurdy25hc+PLCXn9IP0aDTtXobJ7qhmes64rOsdXiqXZgfMsIs2xNCCCE6Qloc/UUCI3GCLXcTkJZHQnSOYCdv7o2bR4Wmjo0lKdYup9PI8eXCTrxGJrt6KjR1XBw6ki1lh8y+D1s9D3UnSoWCf4+bylUJg3huxyY+OLAHgDVZGa1a35Lfl/zGCjaUHuSikBEsz9tusf0IIYQQrSHBERIaCSGEOC7YyZtro6YwO2gItbpGXkr7Cb3JYO2yxFl0drByekhQp2/i+UPLeGnwjYz2jWNH+RGL7O9sz7O1gYWET+emAN6efhHTI3vx8IbfWXak9QFxZwWsuysymBowABc7Rxr0zZ2yTyGEEOJsenxwJKGRZXT1cY5s+ddeaXUkhGWoFSo+GnE3epORdzJW8XP+LjTG1ndVEd3PhY61O8qPUNpcw2CvaLMHR62t4ULr2uq5zNqiPLyYHd2bxzataXVo1Nnn3pTqbJQKJQnuYeyubF0rKCGEEMISenRwJKGROB9bvuCW8EgI8+vtHoKHvQs37XqDtNqeMxj2CT3hmGKJ51jaXE2US4DZt2su52u51JNVNjcBUNV84ZY81vpu5DaWU61toJ9nhARHQgghrKpHBkcSGInWkvBIiJ6jn0cEzQYtGXVF1i6l03XXY4mln9do3z7084zgiQNfWXQ/wvyqNc1oDHoCnF3PuYwtfC9SanIY4Blp7TKEEEL0cD0uOJLQSAghxNmEOfuQ11je7im4uypbuDk2J0s9Hzc7J+r0TS3/tlfa8UDcfPZUZLCh9KBF9mlOtvxDiLWUNTYQ4OJyxt9t6TuRWp3LVZGTrF2GEEKIHs6qwVFnj4EjoZFoD1u+2JZWR0KYj7e9G0aTCQUKTJisXY7Fdadjh6WeS5RLACN8YpkRNJg+7qFsLTvEW+kryWss56rIifg7evC3pE8tsm9LsOXzmTWUNNQT4PK/Fke2+J0obq7GVe2Ig1ItY64JIYSwGqW1C+gsEhqJjrDFi8kT5CZACPNYUbibWLcgrouaYu1SLM6Wj2mtFRJT1vKfufV2C+a/g67nqzEPcluvWVRq6nj9yAqiXAJ4a9htDPPuxTWRk1mas4Xcxq7/WvZUJQ0N+Du7WuxzZA7V2noAPO3PbBklhBBCdJYe0VVNQiPr6Oozq53Oln+plZZHQnTcjvIjfJz5JzfFTCO9roDt5WnWLski5FhxblEuAdwUM53JAf3JbSjjyeRv2Fyags5kAOCP4v18MvJeXh96C4VNlXx2bJ2VK247Wz6XdbbSxnri/IOsXcZ5VekaAPCyd6Gkudq6xQghhOixrBYcdVagIKGREEKI1vo8az1x7iE81e8Krt/5GkXNVdYuyWwkMDo3tULFY30XMyNoEMXN1Tyb8j1ripPOGO+qSlvP3XvfJ9LFnwPVWTRL16EuKySmjGBfhc2PaVatPREcnXsQbyGEEMLSekxXNSHMwZZvvOQXZCE6zoSJ/VXHcFU7EujkZe1yzMKWu+HYiiHeMcwKHsJb6au4YttLrCrad85AoaCpgm3lh6nXX3gad1sk54rj3wl7pR3j/PqyqTTV2uWcV6W2jlpdIwM9o6xdihBCiB6sWwdH0tpIWILcgAnRfQ3wjOT22Nl8n7uVpKpjFttPZ9y8S2DUekqFAoB1JfvR/9UtTXQ/J38nxvj2wdnOgXUlB6xc1fkZTEZ+L0xkXshw7BQqa5cjhBCih7JKcNQZ3dQkNBJCCNEWAz0jeWnwDaRU5/BO+iprl9NuEhi1ndF0fBY9Rff+Pa1HOtcg6lMDB3KktoC8xnIrVdZ6PxfswsvelYn+/axdihBCiB6qRwyOLaynuw2QfYIMLipE1xfg6EmCRzi93YIZ4BnJQK8okquzeXT/Zy2DIVuCpY4dEha1n+mv/1VYtQrL6ynnrQt9F3wd3Jjgl8Bb6Ss7qaKOyWkoJb+xnASPMJtvISWEEKJ76vTgSFobCSGEsCaVQskN0VO5NmoKKoWS0uYa0usKeDL5azaWptj8YLknk7DITE60OFJ09+jIOk7/nFo7PL04ZBRao55VRfssUocl+Di4U9JcY+0yhBBC9FDdrsWRhEa2R1odCSFshZudE/8dfD193cP49Nif/JS3k+q/prvuDB09ZkhQZBlGTnRVk+DIXM73WT3xmLnOoW35XihQMD90BGuKEmnoIgOce6pdcFLZU9RUae1ShBBC9FDSmV8IIUSPcUP0VHq5BnHX3vf59Ni6Tg2NOkpCI8sx/RUcKaXFUYe1ZYytjo7H1Z71o1wD8HVwZ0PpwXbvt7MFO3kDSHAkhBA27vnnn2f48OG4ubnh7+/PggULOHLkyCnLZGZmcskll+Dn54e7uztLliyhpKTkjG2tXLmSkSNH4uTkhJeXFwsWLOikZ3F2nRocWbrVibQ2Ej2Z3FQKcX5e9q4sDBvNl9kbSKnJsXY5bSLfb8uq1NQDEOrse8Zjl4SOItLF/7zr2yvtGOHTm/CzrN9TdCQEOtcA1pbY1xCvaHRGPSnVue1a3xqCTgRHzVVWrkQIIcT5bNq0ibvuuoudO3fyxx9/oNPpmDFjBg0Nx3+obGhoYMaMGSgUCtavX8+2bdvQarVcdNFFGI3/Gyrhhx9+4JprruGGG27gwIEDbNu2jSuvvNJaTwvoRl3VJDSybdJdTQhhbREufqiVdmws6TotDUBCo86Q1VBCQWMFE/0T2F2R3vL3S8PGcn+f+VRrG7hl91sUnqXFx0DPKB7ru4hwl+Pngjkb/0WNrrHTarc2c38+Lf15H+IVQ2pNLhqjzqL7MadgJy9qdY3Ud5GudUII0VP9/vvvp/z7s88+w9/fn3379jFhwgS2bdtGdnY2SUlJuLu7A/D555/j5eXF+vXrmTZtGnq9nvvuu48XX3yRm266qWVbffv27dTncrpOa3HUHUMDIYToKtzsnLgoZDgvDb6RZ/pfydSAgTir7K1dVqeKdglEbzRYbYDZ9oTMEhp1nk2lKYz3S0D51zhHc4OHcX+f+fycvxO1UsWUgAFnrBPm7MurQ26iSlvPZ8fWAWA0mVArVNzX+yKGeffq1OfQGU5uHdTVPp8KFAzyiiKx8pi1S2mTAEdPSmVgbCGEsKra2tpT/tNoNBdcp6bm+LHb2/t4y1GNRoNCocDBwaFlGUdHR5RKJVu3bgUgMTGRgoIClEolgwcPJigoiNmzZ5OSkmKBZ9V63aLFkbQ26hqk1ZHl9i/E+cwLHs7f4hegVChJqjxGiLMPzwy4ktLmGu7b9wG5jeXWLrFTjPHrw/6qLKu1NGjrsUK+251rY2kKV0ZOpJ9nBMnV2dwfN5+tZYd4Je0X+nlEEOcecsryAY6ePN3/Cko1NTyQ+DGBTl5cHz2VBI9wfBzcWBIxjiUR47h+5+tk1BVa6VmZT3f4PMa4BuJh70JiVaa1S2mT3MZy5oYMx8XOscsM6C2EEO3xc8EA7FwcLrxgJ9I3aIANhIWFnfL3p556iqeffvqc6xmNRu6//37Gjh1Lv379ABg1ahQuLi48+uijPPfcc5hMJh577DEMBgNFRUUAHDt2/MeNp59+mldeeYXIyEhefvllJk2aRHp6eksI1dk6pcVRdwwLRPt015DPWhfU3eFCXlje1MABHKrJY8HmZ7kv8UNu2vUmS7b+Hw36Zt4adjtRLgHWLtHiPNTODPXuxdayQ1atozXf2a7YkqM7yKw7fsF24vtgwsQ4v778NvGfRLsGsK3scMuyC0JH8tXoB/G2d+Ppg9+gMerIaSjlaF0Rf09YzE0x09lfdQytUc9E/wSrPJ+z6cgYRN2Bt70rAEVNXWusoA0lB7FX2jHOL97apQghRI+Vl5dHTU1Ny39///vfz7v8XXfdRUpKCkuXLm35m5+fH8uWLWPFihW4urri4eFBdXU1Q4YMQak8Hs2cGOvoH//4B4sWLWLo0KF8+umnKBQKli1bZrkneAFdvsVRdw0iRNfT2S2PusuFvLC8AEdPdpWnU6mtb/lbQVMld+99n9eH3sKno+5lV0U6fxYfYGvZIZoMWitWaxmzgoYCsLbY+ueM801FLt9r6xnoFQXA/uosAK7c/jIDPaOIdQtid0U6iVXHfwEc6xvPw/EL+SV/F29nrDqlBcj9iR/xSPxCQpy8CXX2RWfUs6GLjal1uu70mazTNwHgaudo5UrapkxTw4GqLC4OGcmaIusfw4QQoidyd3dvGZfoQu6++25+++03Nm/eTGho6CmPzZgxg8zMTMrLy7Gzs8PT05PAwECio6MBCAoKAk4d08jBwYHo6Ghyc603sUOnzqpmbhIadU3d+X3rjAtsaY3Qczm1c0yi0uYaAhw9z/h7ta6BO/e+x1vpK/FUu/B0/ytYMfGfPNXvcsK62exQs4OHsLk01aYGLT79uyzfa+sa5RNHcVMVOQ2lAJRrallXcoD3jv7eEhrB8ZnXGvUa/nv4xzO6DVVp63k29Xtc7JxwUtnz2P4vyKwv7tTncSFt+Zx1t8/kicGlvR3crFxJ232etZ6BXlGM8e1j7VKEEEKcg8lk4u677+ann35i/fr1REVFnXNZX19fPD09Wb9+PaWlpcyfPx+AoUOH4uDgwJEjR1qW1el0ZGdnExERYfHncC4Wb3Ek3dTE2XTX8Y4srbtdxIvWSfAI55H4hfRyC2JDyUFeOvwT1bqGVq+vVCgIcPI862MN+maW521ned52ghy9mBY4kItDR/Ll6Af4Lmcrn2eto7GLt0Dyc/Ag2jWQH/N2WLuUs5LvtW0Y79+X7eVpF1zOx8GVCm3dOR+fHzISL3sXrtz+MsU2On16a1rIdsfPZWFTJbkNZVwTOemU2fO6gl0V6eyrPMpNMdNb9TkVQgjR+e666y6++eYbfvnlF9zc3CguPv7jkYeHB05OTgB8+umnxMfH4+fnx44dO7jvvvt44IEHiIuLA463bLr99tt56qmnCAsLIyIighdffBGASy+91DpPjC7c4qg7t1rpKbrre2ipi+3ueBEvWqe3WzC93IL44OgaBntF89zAa1oeC3f248l+l3FV5EQUf80GdbLLwscz1LsXnx7784L7KWqu4svsjVy5/WU+O7aexeFj+Hbsw0zy72fW59OZLgoZzlejH6RKW8/uigxrlyNsVJxbCEFO3mwsvXC3Mi97V6q15w5upwYOYFv5YZsNjU441zmlO7dqNZiMvHrkV4Z4xzDZv7+1y2mzH/N20Mc9lBAn6wyMKoQQ4vzeffddampqmDRpEkFBQS3/fffddy3LHDlyhAULFhAfH88zzzzDP/7xD1566aVTtvPiiy9y+eWXc8011zB8+HBycnJYv349Xl5enf2UWnTJMY66a+DQE514L7tb66PzjWHS3m2Jniu1Jrflf//v0A88P+haol0DiXcP5ZH4hVTrGpgeOIjBXjH86+C3LeN49POI4M7Y2XydvZGtJw3seyFao57Pstaxumgf9/W+iGcHXsNHmWv59K/pxruKKyMmcFfvuawo2M1b6StbuqkIcbrJAf2p1jawvyrrgsvW6Brpb+9y1sdCnLzp4x7KV1kbzVyhZZxoedSTzjO7K9LZU5HBVZET2dCKoNCW7Cw/gsagY4J/P77N2WztcoQQQpzGZDJdcJkXXniBF1544bzLqNVqXnrppTMCJWuyaIsjS4QBEhp1T931fe3oxXhPupgX53a0roi02nweiV/I7op0KjR1LAgdyRURE9hZcYRLt/4fDyV+Ql/3UN4adhu+Dm4sDhvDq0NuIrUml/ePrmnXfkuaq3k8+UveP/o7N8fM4IWB1+KpPvsNs62ZEzyMu3rP5bNj63jh0A8SGonzmujfjy1lqRhMxgsum99YTpCjFyrFmZdQAY7HfwnM/mucpK6gJ55nluZsId4jjAGekdYupU2ajTp2VaQzsQu3AhVCCNE1ddmuaqL7kfDo1HV64sW8ODsjJr7N2UyIsw8OKjXLc7dxSegoolwD+ClvJ1qjnt2VGdy59z081M58P/ZRHuhzMauL9vG3pE9adTN8Pl9kbeDR/Z/RzzOCz0ffz0if3mZ6ZpYxzi+eR+MX8nP+Tj7MXGvtcoSNG+IVTbiLX6tnP4t3D0NnMpw1OMqoK6RcU8tT/S9nrG88aoWK3m7B2ClU5i5bdMCuinRyGkq5JHSUtUtps82lKfT3jMDHvusN8C2EEKLr6lJd1bprsCD+5+T3uDt1X5MQSHSEn4MHV0RMoFxTS42ukaW5W4hyDWBfZSY7K/4340J2Qyl37HmXW3vN5JeCXa3qdtNaW8sOc92O13g84VJeGXITb6WvtMmuEv09Inim/1VsKTvEy4d/tnY5wsbFugXz3MBrSao6xt7Ko+dd1lllzwcj7ibKNYC30leiNxrOWKZO38TfEj/hsYTF/Hfw9S1//+zYOgkxbYgJE1Xa+rOGf7ZuW3kaRpORkb5xrCrc2+7tOCjVaIw6M1YmhBCiO+sywZGERj1Pdw2RhDhBpVAyK2gINboGtpWlYeLs/aKXhI8jyNGLvyV9Chwfg+hfKUvPumxRc9U5H+uoCm0df0v6lNt6zeTu3nMpba5hXckBi+yrve7vM5+jdUX86+C3GM/xegoBMNAzkucHXkteYzmPJH12wZZ5nvauRLkGAHB377ncGD2NlJockqqOcaAqi6P1xTip1GhNBh5K/AR/Rw+G+8RyZ+wcjtWXdMZTEq2kQEGsWzA7yjdYu5Q2q9U1kl5XyHDvXm0KjhQo6OsRxni/vkzwTyDIyZu/7//ilB8fhBBCiHPpEsGRhEaiuw6iLXq2y8LHcVfvuQBk1Zdwx553Wwa2PlmEix+HavM5VJvX2SWewYSJ947+jq+DO0/0W0JJczUpNTnWLguAwV7R9HEP5YHEj9GZzmwNIsQJQ7yieWXITSRXZ/OPA1/RaNBccJ3CpkrmbnyGGLdAXO0cCXP2Y6BnJFdFTOK2XrPOWL5W14jRZCK3oYxtZYcs8TREOwU7eeNi50hGXaG1S2mXPRUZzA0edsHl7JV2XBM5mUFeUcS5h+Bi50iVtp6tZYcpbqrm2YFXc9++j2zmGC6EEMJ22XxwJKGRONni0CQJj0S34WXvRk5DKasL93F77GyUCsUZyzgo1QzxjuHTY39aocJze+HQD4Q4+/Bkv8u4dserNNtAl4fLI8aTWVfE7op0a5cibJirnSNP9LuM5OpsHkz8BH0bQsZqXQP7KjNb/v0VoERBjFsQ4c5+NBqaadRr8LJ3JczZF18Hd5bnbbeJ74f4n95uwQCkd9XgqDKDa6Im08c9hLTagrMu42bnxP8Nuo449xB2lB/hy6wNJFdnc7A6ByMm7JV2vDrkJl4cfD137nmPrAZpFSeEEOLcbD44EuJ00vpIdBd2CiUmEwQ6eZNVX0KNrvGMZQZ6ReGksmdLqW21WNCbDPwn5Xu+GH0/d8TO5tUjv1q1njBnX8b59eXZ1GVWrUPYvgfiLsZF5cizqcvaFBqdixETGXWFXbb1Sk802CuagsYKqrT11i6lXQ5W55DfWM5Lg2/k2dRl7ChPO+XxPu4hPJFwGZ72Ltyz94OztlbVGvU8sv9z3h9+Jw/2uZh79n3QWeULIYTogmx6VEBpbSTOZ3FoknxGhM1qzbT1Ic4+FDZVEODoQa2ukakBA85Yz155fDam2rOEStZW0FTBuxmrWRw+lsFe0VatxVFlj9aoZ0pAfxyUaqvWImzXJP/+zAoewitHfqakudra5QgrGe4T26VbJmqNem7d/TYZdYW8NPgGPht1H7ODhjDUO4ZXh9zExyPvRYGCO/a8e94uzg36Zj7K/IMh3jHEuYV04jMQQgjR1dhscCSBgGgtCZCErbk2ajIrJz3Ja0NuRsGZ3c/slXaM8I4lzj2E3MZyFCgY6BXFMwOuYsXEJ7glZkbLsnrj8QF7HVS2GYb8kLeDpKpjPJ5wKe5qZ6vVkVFXyMNJnzLQM4pXh9yEt72r1WoRtsnH3o2H4y9hY8lB1hTJOaOn8nPwINzF74Kz6Nm6Gl0jDyR+zL37PqCsuYYn+l3GG0NvxcvelSeTv+aaHa+Q11h+we1sLk2hoLGCKyIndELVQgghuiqLBkftvZmXEEC0hwRIwhZEuwZyU/R0ChorGO4Te8Z0zyFOPnw88h5eHXozShTsrkhnlG8cAO8f/Z2VhftYHDYWO4WKB+Lm89zAa9Aa9WiNems8nQsyYeL51GU4qez5dOS99HEPtVoteyuPcu++Dwh38eO7sY9wbeRk7JXSI1sc91jfRRhMRl48/JO1SxFWdGIKenU3OTbsq8zk4f2fccW2l7hr73tcv/N11pUkt3pWSSMmvsreyPTAQTzT/0o8rPgDgBBCCNtlc2dNufEXHSUDaAtrGuETi8Fk5NeC3dwSMwO1UsWdMbOZHjgItdIOJ5U9hU2V3LTrTdJq81EplCRWZlKna+Lr7E3EugVzUchwboyexuLwsXyS+Se/FOyy6bE4Cv56Pv/ufxXvDr+D14/8ys/5u6xSy+HafK7Y9hLXR0/lxphpXBU5CVe1I0frirhx1xsXnHJddE8XhYxgjF88Dyd9SrWuwdrlCCuq1TWS31hOX/cw/ijeb+1yzCa3sYzcxrJ2rftrwW4a9M081GcBX45+kP8e/oGtZYfNXKEQQoiuzOLBUWtv4iUwEuYkA2gLawl39qNB38yc4KFU6xq4ImICC0JH8UPediq19WgMOtYWJ1GvbwbAYDKeMihpVn0JOqOea6Imsacig4+P/WGlZ9I2Jc3V3Ln3Pe7pPZeH4xfSzyOCFw//1PLrfmeq0zfxZvpv/JS/gycTLifBMxwve1dMptb9Ai+6l0FeUTwQN59f83ez/bRBhEXPdKgmj3iPMGuXYVPWlSSzvyqLR/ou5P8GXc/Kgr28nr6Chr/OVUIIIXo2mxjjSEIjYSny2RKd7evsTSgVStzsnHg+dTmzg4eytewQb2es4tuczfyYv6MlNDobjVHHo/s/Z3t5mtVnKmsrvcnAq0d+5emD3zIpoD8fjLiLUGcfq9XjY+9Ogmc4O8rTuGr7y63uuiG6j3BnP/5v4PUkV2fzStrP1i5H2IjDtfn0dgs+oytxT1ehrePR/Z/zbOoyJgX048vRDzDMu5e1yxJCCGEDOuWMeb6bd7mxF5YmnzHRmQqaKrhx1xu8fmQF/+p/JQaTkY8y29ZqaFdFOo/u/5ychlILVWlZfxTv55Zdb2GvtOPjEfcywqe3VerIaSiltLkGFztHmg1aq9QgrEelUPJEvyVUaGt5/MAX6EwGa5ckbMShmjwcVGpiXAOtXYpNWlW4l2t2vEpuQxmvDrmJ66KmnHWiByGEED2HVX5qOTGIsdzQi84inzfRmUqaq7k4dCR5jWXcuPONdo870ZVlNZRw0643OVybx6Pxi865nEqhJNDRCzc7J7PXUK1r4Inkr4hzC+Hd4XcQ5Ohl9n0I23VZ+Hj6uIfybOoyGiU4FCdJrytAbzQQ7y7d1c6lpLmaBxI/5pNj67g5ZjovDLoWVztHa5clhBDCSjptcGy5aRdC9CRGk4nS5hoaDRprl2I1jQYNldo6Il38T/m7AgWzggZzTdRkQpx8sFOqAKjQ1LG/KosD1cdIqsoiq74EUwe7l6XW5HL7nnf4z4Cr+WzU/eyuTOfHvB0kVR3r0HaF7RvkFcWBqixSa3IpyPQ76zIhMT0v1BWgNerJrC8m3iOMXwqsM5B/V2DCxKfH/iStNo8n+13OxyPv4ZW0X9hVkW7t0oQQQnQym5tVTQhLkhnXRGfZV3WUm6KnM8AzkuTqbGuXYxVhzr5MDxzEy6eNLXNn7GyujJzI+pJkluZsobi5GheVA73dgxnoGcU9veehVtpRo23gQHU2+6uOkVR1jKN1RW0ep6iPeyhjfPuQWJXJRSEjmBIwgCkBA7h199uk1uSa8dkKW3O4No8l4eMoPEdoBFCQ6SfhUQ91uDaP/h4R1i6jS9hRfoSbd73JY30X88qQm9hRnsbrR1aQ11hu7dKEEEJ0EgmORI8j4ZHoDF9nb2KkT28eT7iUy7e9aO1yrGJ20FDq9c2sKtzX8rcRPr2ZGzyMn/N38eLhH09ZfkPpQQAclGoSPMIZ5BXFYK9obus1CweVmnpdM9vLD/Pi4Z9oNGjwVLvw0uAb8HP04EBVNolVR/mj+MApswA9Gr+QEGcfKjR1pNXmU9RURX5jOVn1JZ3zIgirSaw8xs0xMxgcEExiSeE5l5PwqGfKqCvkopARqBRKDCajtcuxeQVNldyz7wMm+idwV+xcPhl5L8+kLGVL2SFrlyaEEKITSHAkeiQJj4SlGUxGVhcm8veExdgr7dAa9dYuqdPNCBrE+pJktEY9ES7+PNTnYoZ692JvxVE+ylx7zvU0Rh2JVZkkVmUCoFaoiPcIY5BXFFdGTOS1ITfzYNLHXBo+ljBnP34p2El/z0geiLuYO2Pn8GXWBr7M3kiAoye93UP4Z/LXrC9J7qynLWxEcnU2BXW13DFoBLet/QWj6dyt1SQ86nlKmqtRKZR427tRpqmxdjldxqbSVPZUZPCPhCW8MOg63s/4nS+yN1i7LCGEEBYm85CKHkvG3RLmplaoTvl3Rl0hBpOR78Y+wiWho854vDuLdPEnyMmbTaWpDPeO5YPhd+Hr4M6j+z/nvsQPqdLWt3pbOpOB5OpsvsjawH37PiTU2Yc3ht6Kh9qZal0972Ss5o4977Jo6/P8VrCH22Nnc0P0NEx/BQUyo1rPlJ/pyzPbNzA5IpqXJs9CpTj/rFDnGgdJdE9lzbUA+Dt6WLmSrqfRoOUfyV/xa/5uro+eau1yhBBCdAIJjoQQwgwclGq+HvMQbw27jYtChjPCpzflmlqu2v4yiZWZPNjnYr4Z+zecVfbWLrVTDPeORWvUo1Io+e/g6zlYk8PNu95iawe7NRypK+C+fR8S5x7CUO9e2Cn+13C2XFPHG+m/8V7Gam6Omc7kgAHU6hrp7RbS0acjupgTIdCarAzu/fM35veKZ/Wl1zEjsler1hPdX+lfrYz8HNytXEnXVaNroEJbZ+0yhBBCdALpqiZ6NOmyJsyll1sQIc4+hDj7MNAzEqVCic6o56e8nbyZ/hsHqrN4tO8iVD2k1dFwn1iSq7K5rddMDtXk8tj+z9GbDGbZdkZ9ERqD7pxTQ3+ZvRFnOwfujZtHcVMVI3xi+SxrnVn2LWzf6eHPqmPp5P74NY+MHM8HsxaQVFLIf3dtYUdh3nnXl65r3Vudrgm90YCvBEftNsQrhsy6ImuXIYQQohNIcCSEEO1kp1BxTdRkxvnFE+LkQ0lzNdfueJVmgw4/B3emBw7iqshJzA0ZhkqhpEpbT52+ydpld4q+HmH8kLeDucFD2Vt51Gyh0QnVugYCHD0pbKo86+MfZf7BnOBhBDp5EejkZdZ9i64npbyEa1cuZ0xIOI+MHM+38y9jc14W/921lZTysy7BZIcAAPs8SURBVA+ULgFS99bHPQQ7pYrM+mJrl9Iledu7kuAZzjMpS61dihBCiE4gXdVEjydjHYn2cLFz5MMRd3F91BSy6kv4IW87N+58g3p9M3qTgaLmKr7I3sCSbf/HdzlbOVybzxtHVli77E7jaudIjbaBPRVHmRE4GHuleX+n2Fl+BIDDNWdvNWIwGXnh0A8A7K5IN+u+Rde1vSCXBT9+zW2//0yQizu/Lb6GN6fNw93e4ZzrSPe17mmifz+qtPUkV2dbu5QuqVbXhMagw8ve1dqlCCGE6ATS4kgIpMuaaDs7hZIQZx82labyn9Tvz7lcja6Rj4/9Acc6sTgrs1OoUCvtaDZo2VSawtyQYVwSOorvcreabR+vpv1Co0HD6sJ951xmR3kaczc+I1NtizOsyT7KHzmZLOqdwD9GT+TXRVdzy+8/k1FVYe3SRCeZ6N+PrWWH5fjQTnqTgUO1eQzwiGQpW6xdjhBCCAuTFkdCCHEOChQM9IzC3+H4rDsqhbLl/9foGvnw6FqmBg4g1i3YmmXaHKe/BgCfGNCPl4fciEqh5N64i+htxtdJZzLwVvrKC3YzqdY19JjugaJtrYOMJhPLjqQw/8evaNLr+emSq5gZFdvh7QrbF+niT7iLH5tLU6xdSpeWXltAlGuAtcsQQgjRCSQ4EuIv0mVNnO6S0FG8M/x23hx2KwBXREzgpwmPs3Lik1wXNYUjdQUAzA4awmjfOIZ592JO8DCzd8vqak4ER+P8+rKv8iilzcdnL4p08bdmWUKcVW5tDYt++oZNeVm8P/NiPpy1gCiPU8fFknGOupcJ/gk06jXsrTxq7VK6tIKmCoKcvFCisHYpQgghLKxn390IcRrpsiZOUKLguugp1OuaCXX25fqoqfR2C0Zn1PNH8X6uj57KIt0YAC6LGM9lEeNb1q3TNbKlg9POd2Vq5f9mjnvtyApqtA3cEzePAzKWiLBRjXodd/2xgtXH0nls1ATWLrmeL1P38/q+HbiGnn0cLdF1TfTvx47yI2iNemuX0qUVNVWhVtrh4+BOmabG2uUIIYSwIGlxJMRppOWROKGkuRq9ycC64mSuiJyAl4Mrx+pLeO3Ir1yx7SV2V6RjNBkp19TyatovXLHtJQA81C5Wrty6Cpoq+ceBr7hk83Mcqy+mQlvH0we/paS52tqlCXFev2UeYerST/jo2Fou65vAlqtv5NKwsSikRUW3EeDoSR/3UDaXSTe1jvJQOwNQq2u0ciVCCCEsTYIjIc5CwiNhxMQLh37A096FqYEDaDZo6esexhvpx2dGK26u4j+p33P9ztfJqCvkgT4XMz1wEMA5p4jvSTaWHqRUfoEWXUxITBm+kcV8lb2Ry7a9yPqSZO7vM5+LQoZbuzRhJuP9+qIz6tnx18yMov1CnX0pba5BY9RZuxQhhBAWJsGREOcg4VHPNtgrmkVhozlck0deQzmeaheeO7SM/VVZpyyXWV/M35I+ZVNJCjfGTKO4qYpDNblWqloI0V6nj2NUpa3nxcM/sbpwH7f1moWbnZOVKhPmNNG/H3srM2nQN1u7lC4v1NmX/MZya5chhBCiE0hwJMR5SHjUMwU4evL60FsY5t0LZzsH/Bzd+Wfy16wpOvfn4dlDy/h3yndcveMVmuXXVyG6jJCYsvMOfv1uxmrslXZcFjHujMeiXAKYHzKCQV5RZzz2eN9LeXf4HTJwsA3xUDsz0CtKZlMzkxptA8FOPtKVUwghegAZHFuICzgRHsmg2T3HRP9+GExGbtz1Jg36ZlQKJQaT8bzrNOib+b0osZMqFEKcTUhMGQWZfhdcpi0qtHWsLtzHgtBRbC5NJb2uEIDRvnG8NPjGluXmb/oPFdo6AFzsHJkbMgyAICcvCpoqsVOo0JsMbdq3MK+xfn1RQI+evMCc1pUcYFH4GPp7RpAskx8IIUS3Ji2OhGilxaFJ0gKph5jk3489FRktXRkuFBoJIWzPiZZEp//XHl/nbKJO18Sno+7jhYHX0tstmJE+cQCsKz5Ara6RSm19y/Jqxf9mFnS1c+KqyIn8MP4xAhw9O/ScRMeM9+vLweocqk56r0T7JVfnUNJczbSAgdYuRQghhIVJcCREG50IkCRE6p5UCiUJHuHslIFTheiSOhIQnUtJczVX73iFZ1KWEuHiz6ej7qOvexgAUwMHsqM8jYn+/Qh39gWOt0DMbSjjl/xdaI16romcjK+DOw/HLzRrXaJt+nmEk1iVae0yug0TJtYVJzM5oD8qhdxSCCFEdyZHeSE6QAKk7sfXwR07pUpmRhNCnMJgMrKmKKklQLJXHe/tX9BYwRjfeJ4deDXfjn2YECdvdCYDV2x/if8e/pF74+bhpnbi/aO/M9o3riVcEp3L18ENbwc3jtQWWLuUbuXP4v14O7gxxCvG2qUIIYSwIBnjSAgzODk8krGQujZ/Bw/geAuDzlaQ6Wf2lhJCCPM6ESCtKUqiv0cE80KGU61tIL+pnMf6Lj5jea1RD4C98vglV4izL7kyE1Wn6+0WAtAyRpUwjyN1BdTqGunjHsKeygxrlyOEEMJCJDgSwszO1gJJwqSuo0bXiN5oYFbQEN49urrl733dw/Cwd2aHBbuwSWgkRNdysCaHgzU5AFwXNYUGfTOlzTWnLPPo/s/5aMTdTPBLoEHfzJzgoewoT7NGuT1anHsI1doGq/wo0N3lN1YQIi3phBCiW5OuakJ0gpPHRZKubbYtt7GMdzJWcXXUJCb79wdgYehoPhx59ykzKAkhxMk0Rh12ChW93ILOeOz5Q8vxsHdBpVDyfc5WK1QneruFkF4n3dQsIb+xnDBnH2uXIYQQwoKkxZEQVnCu8EhaJtmG73K3MtAzijt7z+FYQwl3954LQKNeY+XKhBC26vfCRKYFDOS94XeyqnAfdfpGVAoVrnaORLkGcLgmj6+zN7W0UBKdq7dbCH8Uyw83lpDfWMFwn1gUKDBhsnY5QgghLECCIyFsyIVaI0mw1Hm+ztnEByPu4o2ht6A3GbAzqfitcI+1yxJC2KhqXQO37XmHayInMzPo+LHaaDLRZNCQ3VDKKN84nh14DS8d/onNZalWrrZnUSmUBDp5UtBUYe1SuqWdFUe4MWYa4/36ymdbCCG6KQmOhOhCZBDuzpNak0tGXSHRroFsKDnIeL++fJz5h7XLEkLYMIPJyGdZ6/gsa90Zj3nbu/L3vot5ftC1HKrJ47Ujv5Jak2uFKnseg8lIra4RT7WLtUvpllJrckmqOsbVUZMkOBJCiG5KxjgSoouSMZMs74VDP/Bk8te42TmRVHWMen2ztUsSQnRRldp6Ht7/Gffs/QAF8N7wO7g/bj5OKntrl9YjlDRX4+/oae0yuq0vszaQ4BHOEK8Ya5cihBDCAiQ4EqIbkADJMtJq89lYmkKEi58MqiqEMIvEqkxu3f02b6avZF7IcL4a/SAXhYzAXimNwC2ptLmGAAmOLGZXRTrptQUsDh9j7VKEEEJYgFylCNGNnAiPpBtbxwQ6evHS4Buo0zdR2lyDr4M7lZp6a5clhOgmjJj4PncrW8sOcVfsHB6Jv4Tbes3kl/xd/JC3nUqtHG/MLdzFj+SqbGuX0a1lN5Ti4+Bm7TKEEEJYgLQ4EqIb6sktkFQKJTGugbjYObZ7GzdETyXCxY/S5hq87F3YUZ7Grop0M1YphBBQ2FTJP5K/4vJtL/JH8X6WhI/jh/F/5x8Jl9LPI8La5XUb/T0iCHP25feiRGuX0q05qNRojXprlyGEEMICpMWREN1YT2uBZKdQ8X+DrmOUbxwA64qTefLg123ahrPKnmmBA/kwcy1fZP0/e/cdHkWd/wH8vS29904KvYcuKCIoIjYUxMKJHfXAU+9n756nnp53ejawYq8UUVAU6b2GDiGEQHrv2WSz7fcHJiaQkGQzs9Per+fJo2x2Zz5bMvOd937mO2vFKJOIqJW8+nL8L/0nfJS5ClfFjsL0+LGYGjMC2XUl+KVgN34tSENRQ6XUZSrWZTHDUVhfgbSKE1KXomoeehMs9kapyyAiIhGw44hIA7TSfTQgMAFjwvrg9aPL8Gb6T5gUNRhXx45udR8PvRHDQ1JwXlhfRHsFn7UMg84AL4MH8szl7iqbiAgAUGtrwFenNmDGplfwt93v41BVNmYnTcR34x7BuLB+UpenSHroMCFiIFYV7oUTTqnLUTUfgwcsDqvUZRARkQjYcUSkETPi0lTfeXS8tgCNDhsMOj2+zd6EBN8I3NfnCuwqP468+jJMixuDv/W+Ap4GU/Nj1hcdxLMHvoLVaQcA1NjqUWqpxuCgHlhdtE+qp0JEGuaEE7vLM7G7PBP/PfoDnhp4PZ4ffBP+unM+jtXkS12eovTyj0Gghy+2lqZLXYqq6aFDil80tpYelboUIiISAYMjIg1Re3hUZ2vAjrJjmBA5CN9mb8I7x5ZjZEhPPDngOrx46Dvc1/tyrC06gC9OroPZbsGw4GQ83O9avDXibnyQ+St2l2cCAH7J342bky7C6LA+0EMHo96AOlsDqqxm7Co7jhX5u1BiqZL42RKRFpjtjXj+wDd4e8Td+Hfqbbhr+9so5van04aH9ES9vRGHqrKlLkXVIr2C4GfyQjqDTSIiVeKpakQao/aJs2us9fDSn+4oMtsb8eKh7zAoqAe+Hvcwqqxm/OfoUmTVFaGooRK/FOzBg3s+hIfeiDeHz8FHo+/Dv4bMRt+AOABAvE8YYn1CEekVhGS/KKQGJ+OunpPxw/gncH44TxshIvewOKx4dO8nsDnseDX1VvgYPKQuqZVAkw/GhPZBvz+2nXIyMrQn9lacgO2PrlISR5hnAACgpIGhJhGRGrHjiEij5Np9NCw4BVfGjkSOuRQLT6zu0pwUYZ7+GBfeDz/m7mi+bV/lSbx06HsEmHywqnAvzGdM3Lmv8iRu3/4mRof2xtWxo2HQ61FlNWNF3i4Eevigh28E7A4H6uwNqLM1INjDD738Y5AanIJNJUcEe95EROdS3liLh9IWYsHIv+Ifg2fh0b2fwu50SFJLuGcgkv0ikeIXhREhvTA8JAVGvQEA8MS+z7C++JAkdZ3JQ2/EkKAkvHf8V6lLUb2mU8C9ZRZqEhGRMBgcEWmY3MIjD70RTw64Dka9AZOjU7G7PBP7KrM6fNz48AG4t9dlCPLwRb29Ed9mb2z1+186cQnm7WXHsL3sWKfq1EHHSVaJNEisbs3Oboez6orw1P4v8FrqbXio7zX495ElcLhxW3R+eH881n86gj38AABmmwWHq3LwevoyrC8+hAf7XIWnB96A/J3zkSGDU5aGBifD02DC7vLjUpeiemkVJ5BdV4Jbkifi0b2fSl0OEREJjMEREcnGjT3GI9TTHzdvfR3/Sb0dl8UM71RwdGvyJCT4huOzrDVYWZCG8sZaUetkaESkHe44tbdpHZ0JkHaWZ+Dlw4vwxIDrEGjywXMHv0ajwyZ2iZgYORjPDrwBW0uP4qe8nThRW4jChko44UScTyhmJ14EH6MXvA0eeGHwLNyw+d+i19SRy2NG4GRtMY7XFkhdiurZnQ4sPPE7nh10I/oFxOFIda7UJRERkYA4xxGRxsllvqMgky9uTroI32dvQY65FCsL9mBi5KDm+YrO5cuT6wAAR6tzcaquWORKiUgr5LJ9PNPKgj14bO+nGBXWG28On4MAk4+o64vyCsbj/WdgbfEBPLHvc2wuPYKChgo44cTgoER8MGoeJkYNhh46LM/biW9ObRC1ns4IMvniwogB+DFvR8d3JkH8XrgPx2sK8Pe+06CHTupyiIhIQAyOiEgWB0fX9zgfTqcTn59cC+D0gZGv0QvjIwZ2+NjVRfuxvuggHuk3HaEe/mKXSkQaIMV2sSvr3FJ6FPfteg9xPqF4b+Rf0TcgVrS6Hu8/A9VWM1493PrUuCTfSLw69FYcrynArC3/wd/TPsLLhxfhh9ztotXSWVNihsEJYGXBbqlL0QwHnHj1yBL0DYjFdQnnS10OEREJiMEREUnO3+iN6fFjsTR3K6qtZgBAfn050ipOYGrM8E4t45Uji2Fz2vHEgOtg1BnELJeIVE4OYXpnHKnOxd073kWjw4YPRs3DY/2nI8jkK+g6En0jMCK0J/6X/hPMdgsAINorGF+c93e8M+JuFDVU4rF9n6HW1iDoervDQ2/EtXHnYUPxIVT9sU8h9zhUlY3vszfjr70uw/CQFKnLISIigTA4IiIA0h4ozUgYC6POgG9OnTGpdf5uDA9JQYRnYIfLqLKa8eLB7zA8JAXvjrwHkV5BIlVLRGomdWjU1fXn1Zfh9u1v4vWjP+LCiIH4ZtzDuKnHeMG2gSl+UQAAs92CqdHDcVvyJLw5Yg68DR7YVX4cD6UtRJ2MQiMAuLfnZQjzDMDHJ36XuhRNeifjZ+wqP46XBs9G8h+fHyIiUjYGR0QkqTifUPwlcQIW52w9a1LrtUX70WC3YlrcmE4ta0d5Bu7ZOR/BHn54a/gcBIo87wcRqYvUoVGTrtZhdzqwJHcrbtj8b6wq3Iu7e07Bkgsex5fn/R/u73Mlzgvr2+oy6T5duGS6Tnd6rpr/Db8LTw6ciRsSxuNg5Sk8uOdDPHPgK5RYqrpUq9iGBadgZo/zseD4Ss55JxG704Gn93+B/PoyvDL0FvgbvaUuiYiIuolXVSMiyST5RuLZQTeg1FKNjzJ/O+v3ZnsjluVtxzXxY/D5ybWotzd2uMyj1bm4b9f7+HD0PLw45Gb8bdf7br1cNRGRVKqsZvzn6A94//ivGB6SgpGhvXFBeH/MTDgfVocNJZZqhHr4w9NgwonaQizO2YKV+XvQ4LC2u8x1RQfxhulHZNYW4GBVNqwOu2yvLOlr9MKTA2ZiT3kmvs/eLHU5mma2N+LxfZ9j4Zi/4ckB1+GxfZ9JXRIREXUDgyMicjsPvRG3JE3ErMQLkV9fjqf2fdHugct3pzbhuvhxuDJ2FL7L3tSp5Rc2VOCp/V/gnRH34Kq40dhTfhz59RWwOe1CPg0iUhG5dBsBwKLc1G49vsZWj3XFB7Gu+CCA052do0J6I8IrEGWWGtTY6jE+fAD+3nca7ul5GVbk78LKgj04UVsIu9PRalk2px3f5ygjhHmgz5XwN3nhn7u+k224pSWFDRV44eC3+HfqbbihxwVnnY5ORETKweCIiNzKU2/Ca6m3YWBQD3yWtRafZ62F9RyBTrGlCqsK9+LmxAn4rSANlda6Tq1nb0UWNpccwcP9rgEAfHVyA97JWCHIcyAiEkt3Q6O25JrLkGve2uq2lQV7EOkVhGvixuCq2FG4occFsNitOFaTj6PVudhSehQ7yo4JXotYxocPwNSYEXjx4HcoaqiUuhz6w5bSo/giax3u7XkZIj2D8HvRPlQ21qG4ofKc+34iIpIXBkcyMCcovVP3e7+yj8iVkNbNiEsT5aClSU+/aMzrfTn6BsThb7vex4GqU5163PyMXzAmrA8eHzADj+79tNPre+Hgt+gbEIfrEsZhXHhfBkdE1CY5dRu5U1FDJRYcX4mPT/yOvgFxf/zEYkxYH1yXMA5P7fsCa4sPSF1mh4JMvnik/7XYUHwIPxfslrocOsP7mb/CCSemxozAzB7nAwDWFR3Ak/u/kLgyIiLqLAZHEupsYNTW/RkikZIMCEzAswNvQKxPKKqtZjyy95NOh0YAUNZYg5cPLcKrqbdiWtwY/JC7rVOPq7HVI6MmH4ODErGqcK+L1RMRuYeYwf25NDps2F95EvsrTzbf9uzAG/D0wOtRtqem1e1tCTD5oFrCy94/2n86AOCVw4slq4HaZ3c6sOD4SnyQ+Rt6+8fg/j5Xwag3SF0WERF1Aa+qJpGuhkZtPb67yyByh/PD++HN4Xeh1FKNB3Z/iCvX/xNpFSe6vJzNpUewJGcr/tb7CiT6RrR5n9TgZCwb/yTeGj4HvfyiAQATIwfD2+CBD9uYfJuISC6kCo3a89Kh73GoKhuvDL2l3StURnoFYfMlr+CXCc/igvD+bq7wtAkRAzE+YgBePbyk06cykzTsTgeOVOfC7rSj1togdTlERNQFDI4kIGTgwwCJ5OySqKF4achsbC1NxwN7PsTO8oxuTVD99rEVKGqoxL29Lmvz9zMTzoeH3gh/kzfeHXkvxoX1g0Gnh9VpR5WE34YTkXzJ4TQ1uYVGAGB12vH0/i/hZfDAlOhhZ/0+3DMQLw25GWabBTvLMvDC4FnwMXi6vc6JkUNwqCobG0oOuX3dWjMjLu2sH1f4Gb1Ra6sXuDoiIhITgyM3EyvkYYBEcnN+eH88NWAmVubvwTP7v0Sjw9btZVocVnyWtQbnh/dvs+sowOSNbaXpuHvHu9hRdgz/GjobD/S9CiYdW+KJSJ7kGBo1qbTWYUPxIVwWM/ys393bawr6BsQBAPoFxMOkNyLWO8St9Rl0eowM7YltpRz/iKk7IVFbChsqkBqcDB10gi2TiIjExeDIjdwR7DA8IjkI9wzEc4NuxMaSw/jX4UVwCHhZ5FWF+1DcUIUbe4w/63e55jLE+oTC4rDiqf1f4t2MX1DVWIed5ccFWz8RkVDkHBo12VtxAkm+kTDoWg8Zd5VnAgC2laXji5Nr8eDuD5FRW+DW2voFxCPA5IPtCrr6m9J0FBi5Eih9dXI9UvyjMTasr6tlERGRm3FybDdxZ6DTtC5OoE1Subvnpai3WfDSoe8FDY0AwOa047vsTbi756X4IPNXlFpqmn93qq4EEyIGAQCccOLrUxvw9akNgq6fiEgISgiNAOBQVTaMegMujUptdcWyn/N34deCPbA7HZLVNi68L6oa63CkKkeyGqjr9lWexL6KLNySNBGbS49IXQ4REXUCO45UjKevkRT6BsThspjh+CDzN5jtFlHWsSx3Oyx2G2bEj2t1e62tHj5GD3jomYkTUcekmt9IKaERAByrycdvBWm4p9dl8DV6tfqdlKGRHjpcGj0Ma4sPCv4FBZ0m5t/HZ1lrMSAoAcOCk0VbBxERCYfBkRtIHd5IvX7Slr/1vgKZNQVYkb9LtHWY7RYsy9uGa+LOQ5DJt/n2AYEJyKwtFGQ+JSIioS3KTVVUaNTk3Yxf4GP0xG3Jk6QupdmI0F6I9ArC8rwdUpdCLthWlo5j1XmYnTRR6lKIiKgTGByJTC6hjVzqIHXr6ReNIcFJWHB8pejfRH99aiMsDiteGnIzjH9Mfj04KBH7KrJEXS8RqYc7QxwlBkZNSixV+OzEGlwXPw6vpd6O6xPOR5JvpKQ1XREzAidqC3GkOlfSOtTKHd14n2WtxcjQXs2TrBMRkXwxOBKR3MIanrpGYuvxx5XODlSeEn1dFY21eGLf5+gXGI8H+16FYA8/JPiGY3/lSdHXTUTUFUoOjZp8eWo93sn4GQadDnf3nIIvxv4dP1zwBK6LHwe9m6+OFWDywQURA7A8b6db10vCWl98ENl1JfhL4gSpSyEiog5wIhCRyDmgmROUzomzSRQJvmGoaKxFja3eLes7WHUKrx1ZiicGXAeT7vTm7DAnSSUiGVFDaAScns/ou+xN+C57Ezz0RgwJSsKkqMH4W58rcEnUULx8eBGy6opEryPI5IsnBlwHHYBfC6SZo0rt3DX3lwNOLMvbjjkpl8JLb0KDw+qW9RIRUddpJjjqKMgRMkiRc2jUhOERicFTb4LZJs6E2O1Zkb8L48L74fLYEQCAQA9fFDRUuLUGIqK2qCU0OlOjw4ad5RnYWZ6BFXm78Gj/6Vg45m/4PGsdPstaA6vTLsp6R4X2xpMDroNRZ8AT+z5HpbVOlPWQ+2wuOYL7el+BEaE9samEV1gjIpIrTQRHnQlyzryPK6GKEgKjlprqZYBETbp7kGNxWOFpMAlUTef9L/0nXBgx8HQNdn5jSUSdtyg3VZQOC7WGRmc6UHUKt237H2YnTcTNSRNwUeQgvJ6+DHvKT8Ap0NXOPPRG3NNzCq7vcQG2lx7Di4e+Q1ljjSDLptbcfaXBHHMpsutKMDasH4MjIiIZU31w5GqYo7QQqDvYfURCMdsa4Wv0gh46t14euaihEjdt+Q8uihiEU3XFblsvEVFbtBIaNbE67fjoxCqsKdqPx/vPwJvD56CwvgKri/bh98J9OFaT7/Kyzw/vj7/1vgLhXoF44+iPWJSzRbBAiuRhc+kRXBI1FLojOr63REQyperJsbUU/nQXXysSwtHqHHgbPNDTP9rt6z5VV4xPsla7NbAiInUQMujRWmjUUlZdEe7e+S7+unMBtpQexdSYEVg45n58PfYhjAnt/BdUXnoTRof2xn9Sb8crQ29BjrkUt2x9A9/nbGawICJXuo2E+LxvLjmCMM8A9PaP6fayiIhIHKrtOGIQ0nXsPKLuOlyVgwZ7I4aFpHTrG2YiIlImJ5zYV5mFfZVZeCP9RwwP6YkbEi7Av1NvxTenNuGzrDVnXUDBoNOjX0A8RoT0xIjQnhgYmACT3ojsuhI8uvcTnsKkcvsrT8LmsGNgUALSa/KkLoeIiNqgyuCIoZHrOO+RdgnxraHVacf+ypMYHpyCb05tFKAqIiL3EGKuIy13G7XF7nRgR9kx7CrLwF8SJ+DmpItwRewIpFfnweF0wgEHjDoD+gfGw9fohRprPfZUZOLN9OXYVZ6BbHOp1E+B3CDQ5AOj3oCShmqpSyEionaoMjii7mP3EbkqreIEZvWYIHUZRERuxdCofQ448dnJtVievxM39hiPSK8g6HQ6GKCHBVZ8kbUOO8szcKwmH3anQ+pyNcndk2K3lOAbDgDINpdIVgMREZ0bgyNqF8MjcsWx6nz4mbwQ7RWMgoYKqcshIuo0sa6wRqeVN9binYyfpS6DBCJUWBrvEw6704E8c5kgyyMiIuGpLjjiaWrCYnikDUJ+U3689vTcRj39oxkcEZHitNwedjZEUlu3kVaft1ZJHZYm+ISjsL4CVqdd0jqIiKh9qguOSHgMj9RN6IF/qaUGFY216OUfg40lhwVdNhGRO2kxGOlKiNDefbX4uimV1KERACT4hvE0NSIimVNVcMRuI/EwPKKuOF5TgF68rC4RkaIIFSK0tRyGSdSeBJ9wbC09KnUZRER0DnqpCyDlYDCnPmIN5DNq8pEanIzrEy6Aj8FDlHUQEZFwxO48mRGX1vxD8tCd90Ko8YNRZ0CMdwg7joiIZE41wRFDDffg66weYn77+232RuwoO4Z7ek3BR6P/hh6+EaKti4iIlIUhkvTk8tr3CYiFUW9ARk2B1KUQEXXbyy+/jJEjR8Lf3x8RERGYNm0a0tNbHz9nZmbimmuuQXh4OAICAjBz5kwUFRU1//7kyZO44447kJSUBG9vb6SkpODZZ59FY2Oju59OK6oJjsh9GB5RR0otNXjmwFeYvfV1BHv4YXr8eVKXRERE7ZAyRGCI5H5yeq2HB6egztaAo9W5UpdCRNRt69evx9y5c7Ft2zasWrUKVqsVkydPRl1dHQCgrq4OkydPhk6nw5o1a7B582Y0NjbiyiuvhMPhAAAcPXoUDocD7733Hg4dOoTXX38dCxYswBNPPCHlU1PXHEfkPpzzSNncNddEgMkH3gYPZNYUumV9RESkXC0DDc6JJA45hUYAMCwkBWkVJ2B3OqQuhYjonKqrq1v929PTE56enq1uW7lyZat/f/LJJ4iIiMDu3bsxfvx4bN68GSdPnkRaWhoCAgIAAJ9++imCg4OxZs0aXHzxxZgyZQqmTJnSvIzk5GSkp6dj/vz5eO2110R6dh1TRXDEDhhpMDxSJncMxj30RjzS71pcFjMcx6rzsL74oOjrJCIi9WgKOBggqZeH3ojBQYl47/jKju9MRJpQkBUGvbeX1GW04qhvAADEx8e3uv3ZZ5/Fc889d87HVlVVAQBCQkIAABaLBTqdrlXg5OXlBb1ej02bNuHiiy9udzlNy5CKKoIjIuocdwzAfY1eeGXoLegXEId/HV6EFXm74IBT9PUSEVHXya0D5UzsQhKOUO+1UO9DjHcIPA0mpNfktbo9wScMhQ2VaHTYBFkPEZEQcnJymruEAJzVbXQmh8OBBx54AOPGjcPAgQMBAGPGjIGvry8effRRvPTSS3A6nXjsscdgt9tRUND2XG/Hjx/HW2+9JWm3EaCC4IjdRtJi15FyuGPAHeLhh/8OuwORXkG4f/eHOFh1SvR1EhGRNjBEcp0cA8LKxtNzfvT2j8X0+LGoszUgwSccQ4KT8PWpDXj72AqJKyQi+lNAQECr4Kgjc+fOxcGDB7Fp06bm28LDw/H999/j3nvvxZtvvgm9Xo8bb7wRw4YNg15/9vTTeXl5mDJlCq677jrcddddgjwPVyk+OCLpMTySP3cMsGO9Q/D6sDvhoTfirzsXIKuuqOMHERGRW8kxQHAFT2XrHDm/31VWM8w2C8aHD0BqSDIcTge2lx3D0epcXJ9wPj7KXIV6u7RXESIicsW8efOwfPlybNiwAXFxca1+N3nyZGRmZqK0tBRGoxFBQUGIiopCcnJyq/vl5+fjoosuwtixY/H++++7s/w2MTgiQTA80raeftH477A7UGdrwD0756OwoULqkoiINEvOYYHQ2IXUNiV8Bpxw4o30H/HEgOuQby5HgMkHn2etRY2tAZ+f9yBGhPTExpLDUpdJRNRpTqcT9913H5YuXYp169YhKSmp3fuGhYUBANasWYPi4mJcddVVzb/Ly8vDRRddhOHDh2PhwoVtdiO5G4MjEozU4dGZpy0yyDpNzIG0DjqMj+iPx/tfh7z6Mvzfno9Raa0TbX1ERNQ2JQQFYtN6iKTEz8CK/F3o7R+Dq+NG40RtEf419BZct+kV7CnPxL29LsOW0qO84hoRKcbcuXPx1VdfYdmyZfD390dh4ekrSwcGBsLb2xsAsHDhQvTr1w/h4eHYunUr7r//fjz44IPo0+f0sWteXh4mTJiAHj164LXXXkNJSUnz8qOiotz/pP6g6OCI8xvJj9jhUVfecwZJ4tFDhwmRgzA76SL08o/BlpIjePbA1zDbLVKXRkSkKUoMC9xBS6eyufMzIMbr+eax5Ujxj0YPnwh46k24occFWJq7DS8MnoUoryDk1ZcLvk4iIjHMnz8fADBhwoRWty9cuBC33norACA9PR2PP/44ysvLkZiYiCeffBIPPvhg831XrVqF48eP4/jx42ed5uZ0SnfBIZ2zE2uvrq5GYGAgXtpxEbz85JM1MTiSL6FCGjHeYy0FSGIM8Hr5ReP5wTehh28Etpcew6dZa7CvMkvw9RARUdsYFnWNGsMjqT4DYr2WQSZffDT6bzDq9QjzDECZpQZmuwU3bP63KOsjkitbnQU7rvkfqqqqujQRs9I15Q3x/30Bem8vqctpxVHfgJy/P6259+RM8kmBSFW623nEUFCeQjz88ErqrahqrMMd29/C0epcqUsiItIEhkWuU1v3kRo/C5XWOjyx7zPMH3kvCusrYHc68OrhxVKXRUREf1BscMRgQf66Gh7xPZW/e3peBg+9EQ/v/QSllmqpyyEiUi01hgNSmxGXpujwSO2fifSaPDyw50PMSrwQ54X1xbODbsTVG16UuiwiIoKCgyNShs6ERwyMxCH04DjOJxSXRqfirWPLGRoREYlE7eGA1JTafSSHz4U7XrP9lSexf+9JzOt9OS6KGCT6+oiIqHMYHJHoGAypw21JF6OisRY/5u2QuhQiIlWSQzigFUoJkLT6mUjxi0JGTb7UZRAR0R8YHBFRh/oFxGFKzDC8engJGh02qcshIlIdrQYEUmv5usspRJLb58Hdr02cTxhWF+5z6zqJiKh9igyO2MFC5D466PBgn6uRUZOPn9htREQkKLkFBFomhzmQ5Ph5kOI1CfbwQ0VjrdvXS0REbVNkcERE7jMlOhUDghLw150L4IBT6nKIiFRDjiGB1kl1Chs/C3/y0pvgbfBgcEREJCMMjkhTunKVNwIMOj3uTJmM1YX7sa8yS+pyiIhUg0GBvLkrQJL750CKbqMgDz8AQJXV7PZ1ExFR2/RSF0DkLgyNum5sWF9EeQfji5NrpS6FiEg15B4W0J9mxKWJ8n6JtVw1qGysRbmlBlfEjpS6FCIi+gODI9IErYVGQn1DODPhfByoPIVjvLIJEZEgGBYok1BBj5ICI6nme2pwWPFG+k+YGDkY54f3l6QGIiJqTXGnqnFibOoqrYVGQkkNTsawkBQ8uvcTqUshIiKSBVevwqaUsEguVhftw5SSVPxf32k4WHkKldY6qUsiItI0dhyRqjE0ct3tyRcjvToPm0qOSF0KEZEqMDxQl6buoXN1ESmpw6glqa8uBwD/PrIUep0Obwy/E/5Gb6nLISLSNMV1HBF1FkMj17HbiIhIOEoMDqjr+D4Lq9hShQd2f4i3RszB68PuwKN7P0VZY43UZRERaRI7jkh13q/so+nQqLvfEuqhw909p7DbiIhIAAwTSGnk0G3UJKuuCA/u+QhR3sH4ZtzDuDlxAjz0/N6biMjdGByRqmg5MBLK7KSJ6B8Yj/+l/yR1KUREisbQiKj7MmrycePm1/Bj3g7cmTIZi85/DLMTL+Lpa0REbqSoyJ4TY9O5MDTq/reEg4MScXvKxfj0xBrsq8wSqCoiIu1haERKJKduo5ZqbPV469hyLM3diht7XIhbkyfh1uRJ2Fx6BL8VpGFbaTqsTrvUZRIRqZaigiOi9jA06j5/ozeeHXgjDlaewidZq6Uuh4hIsRgaEYkj11yGfx9Zgg8zf8OU6GGYHDUU/xp6C6wOG4obqlDUUImihkpsK0vH74X7pC6XiEg1GByRojEw+lN3vyV8rP90+Bg98PzBb2B3OgSqiohIWxgaEYmvorEWX5/agK9PbUCibwRSg5MR6RWESK8gJPiG47KY4egXEI93jq2AA06pyyUiUjwGR6RIDIxOE6qlfE7KpZgQOQiP7/0MRQ2VgiyTiEhLGBgRSeNkXTFO1hW3um16/Hm4v89VCPHww/MHv5GoMiIi9WBwRIqjtdBI7PkG7kqZjFuSJ+LtYyuwoeSQqOsiIlIbBkakFnKd38gVi3O2oqKxDi8MngWzvRF7yo8ju64ENqcD/QLicEHEAJj0Rrx2ZCkKGyqkLpeISPYUExxxYmzSUmDkrsHbXSmTcWvyJLx9bAW+PrXBLeskIlI6hkVE8remaD/ij4fhuoRxmBY3utXvDlaeQoinPz4cPQ93bH+L3dZERB1QTHBE2qWlwAhwT2hk1Blwb6/LcEOPCxgaEZEsdCaMkbojgoERkbJ8mrUGn2atgb/RGwm+4TDpDcisKUSNrR6BJh98PPp+PDngOvxt9wdSl0pEJGsMjki2GBiJI9E3As8MvAEpflF4/egyLMrZ4pb1EhG1p7OBTNP93LW9ZFBEpA41tnocqspudVuV1Yx/H1mC/wy7HWNC+2BbGc9uIOnkZYYDABz1DRJXQtQ2BkckSwyNhKeDDtPjz8Nfe01FQX0F5ux4B+k1eaKvl4hIaGIFSAyKSMtmxKVJ3tXnbtvK0rGvIgt39ZzM4Igk0xQaEcmZIoIjzm+kHQyMxDE0OAlzUi7FkOAkfJe9CfMzfkGjw+aWdRMRnUt3whohDnQZFhFp24eZv+GtEXdjQsQgrCs+IHU5pEGxKSUMj0j2FBEckTYwNBKWHjqMDuuDGxIuwIjQnjhanYu/7X4fu8szRV0vEZE7dbX7iEERUfu02HW0p+IENpUcxlMDZ6JubwN2lmdIXRIRkewwOCLJMTASVoRnIC6PHYkrYkYiyjsIR6tz8djeT7Gx5LCo6yUi6iohQ5yWARLDISLqimf2f4UXh/wFr6beimf2f8kxExHRGRgckaQYGgnDoNNjTGgfXBU3CueF9YXFbsWqwr34MW87jlZzHiMikh+xwh2GRkTdo8auozO3C2c+P4vDisf2foZnBt6Afw7+C147+gN+LdjD0/rJbXi6GskdgyOShNYCI0Cc0CjSKwhXxIzEFbEjEeEViKPVuXjtyFL8XrgXZnuj4OsjIiIi9VNKeORqUNze45474MAj/a/FY/2n46G+03CsJh/zM37Bngqe5k/ii00pQc5Bf6nLIGqT7IMjToytPloKjcQKi84L64PzwwdgdGgv1Nsb8VtBGn7M24FjNfmCr4+ISGjsCiKSP7mHR2JsR66N24Pj1XvwhSUZBZZLcWl0Kv41dDbu3vEusuqKBF8f0Zmik0qRI3URRG2QfXBE6sHAqOt00CHU0w/JvlEYHdYHo0N7I8kvEjaHHQeqTuGVw0uwumgf6tldRERERAKTa3gkdvhcYjkBI+ZjQ5E3fAwLsHDM33CsOh/pNXkoqK/AppJDyDaXiloDEZGcMDgit9BKaNTVwZWX3oR4nzBEeAUhwisQkV5BiPzj/yO8ghDhGQij3gAAKG6owvaydHyY+Rt2lh9Hna1BjKdARCQqdhsRKYtcwyN3sDrqsargPvQOuBB25/kYFNQDU6KH4Z5eU/Bz/m58nLkKxZYqqcskIhIdgyMSndpDo5/yR2FQUA/U2xuR4FOPGls9aqz1sDnt7T4m1jsEMxLG4YqYkfAxegIArA4bSizVKG6oRHFDFQ5UnkLRH/+fV1+Gk3XF7npKRERERM3kFB65O3xusFdjf8VPAH7CoUpgWd4ITIsbg1uSJ2JS5GC8cmQxfi/c59aaiIjcjcERiUbtgdGi3FQk+kbgo9F/QZJf5Fm/r7c3otxSg6KGyuafUks1RoX2xvnh/VBlNeO77E3YXHIERQ2VKG+shRNOCZ4JEZH42GlEpGxyCI/ksB2xOu34PmczVuTvwkP9puH5QTdheHBPvJH+IywOa5eWpYcODo79iEgBGByRKNQaGrUcMF0anYqH+12Lgvpy3LX9bdTbGxFg8oa/yRv+Rm8EmHwQ4uGPSO8gxHiHIDU4GWGeAcg2l+DVI0vwa0EaL/NKRJogh4M9Iuo+KcMjuWxHml4Ds92Cfxz8FrvKM/F/fa/GwKAEvH50GU7UFqHSWtfhcoI9/LD8wqdxpCoHd+542w2VExG5TtbBEa+opkxqDI1aDpI89Eb8ve/VuDJ2FFbk7cJ/j/6Ahk5+w6SDjl1FRKR6cjnAIyLhyaHzSE5+zt+FI1U5eGHwLLw14m4AgNlmQa65FD/n78ayvO1tflH4aL9rAQD9AuPdWi8Rqc+PP/7Y5cdccskl8Pb27vT9ZR0ckfKoKTRqa1AU7xOGFwbPQrxPGF489D1+zt/VpWUyNCIipWD4Q0TtcXd4JLft0ZnPP6uuCLdsewNJvpGI8Q5BjE8I+gXEY17vyzGzx/n4vz0fI9tc0nz/EA8/XBAxAABQZqlGrHcI8urL3f48iEgdpk2b1qX763Q6ZGRkIDk5udOPYXBEglFLaNTeQGhS5BA81n86SixVuHP728iqK3JzZURE4pHbgRkRyRs7j1qzOx04XluA47UFzbfF+YTi5SGzMX/kvXgo7WMcqc4FAJQ31uLFQ9/j/LB+uDByIG5JmoSXDn8vVelEpAKFhYWIiIjo1H39/f27vHx9lx9B1Aa1hkYeeiMGBCbgkX7X4h+Db8KmksO4Y/tbDI2ISDVmxKUxNCIil7hj2yHX7VNn6so1l+GvOxcg21yCt0bcjVGhvZt/93P+ruZO9MtjRyDSK0isUolI5W655ZYunXb2l7/8BQEBAV1aBzuOqNvUEBo1BUaRXkEYGJiAgYE9MCAwAb0CYuChN8Jss+CVw4vxY94OiSslIuo+uR6IEZHysPPo3Gps9Xhg94f4x+Cb8O+ht+KJfZ9jc+kRAMCo0N4obqhChFcgbku+GP86vEjiaolIiRYuXNip+9XW1sLPzw/z58/v8joYHFG3KDU00kGPYI84ZJknoZd/NF4fFoOeftEI8TzdtpdnLsPBqlP4tXAPDlVlI6OmAHanQ+KqiYhcx7CIiEgaFocVT+z7HC8MnoVnB92Au3a8g1N1xXg9/UdcETMCFY21WFXIbTQRue7111/Hgw8+2O7va2pqMGXKFGzevNml5TM4IpcpLzTSIc5nMAYFXYYU/7Ew6b0AAAX15cioKcDS3G04VpOHg5XZnbqMKhGREjAwIiKxabXrqCvP2+504J8Hv8V7o+bi+UE34vZtb+Ln/F1dvtAKEVFbnnjiCYSGhmL27Nln/a6urg5TpkxBWVmZy8tncESaEOs9CBdFzUW4VzLKLTn4KHMtDlZl43hNAWps9VKXR0QkKIZFRETyY7Y34uVDi/DB6HmYEjOcoRERCebzzz/HzTffjKCgIFx11VXNt9fV1eHSSy9FSUkJ1q9f7/LyGRxRh5TXWfQnH0MwxkfehX6BFyPffBjfnfo//O8YP/ZEpF4MjYhILdS0PZudeBHOj+iPraVHUVhfgbt7XorfCtJgc9qlLo2IVGDGjBmorKzEjTfeiBUrVmDChAnNnUZFRUVYv349oqOjXV4+j6CpTUoOi4DTcxgNDb4K54XfArvTit/y/4NDVb9hUe5QqUsjIhKFmg6wiEh5tHq6Wmd4GzwwK3ECSixVuKnHhWiwN+JYTT70Oh3+uLAaEVG33XnnnSgvL8fVV1+NZcuW4ZlnnkF+fj7Wr1+PmJiYbi2bwRE1U3pY1CTRdyTOj7gdYZ5J2F+5ApuLP4HFUcPBDBGpDsMiIiJpdSYwuyRqKLyNHvi/bR+jqKHSPYURkSY98sgjKC8vx6RJk5CYmIh169YhLi6u28tlcESyZNR5wuG0wwFbp+6vgx69A8ZjZOj1CPdKQZ75IL4+eR+KGjIAgKEREakKAyMi0oJFuamq2N5FegXBYrfC4WR7ERGJ49prr231b5PJhLCwMNx///2tbl+yZIlLy2dwpHkegM4LH1TEAhD/cvPJfudhZOhM+BiD4aH3gUFnQqPDDIu9Fg2OWpj0XggwRsDbGIh6WxXSKn7A3vIfYXHUnLUsH0MQevgOR6LfSPTwHQ5vYyBO1u7E2lPvIs98QPTnQkTkbmo4gCIi0ppvTm3E5TEj8Fj/6fi/tI+lLoeIVCgwMLDVv2+88UZBl8/gSNM84RnyAYyeF2KE/mPsLPtGtDWFeCRgfOTdSPIbiey6NGRUb4DFYYbdaYWn3geeBn94GfxgdTQgw7oRtdYSRHr3wajQGzAidCaOVP2OCksuGhw1CPaIQ6LvSER69wIAFNUfw/7KFcio3ogSS+ZZ62a3EREpHQMjIiLlqrHV41+HF+M/w27H1bGjsSxvu9QlEZHKLFy4UNTlMzjSLD08g9+HwTQSdqcVsT4DsbNM+LX4GyNwXvjN6Bd4MWqsxViW8yxO1G7t1GOPVK/G9tKvMDTkavQLmIT+gZfApPdCva0KJ+t2I618CU7W7Ua9vbLdZTA0IiIlY2BERFqnltPVtpWl44fc7bivzxXIrS/F7vKzv+wkIpIrBkcaZfKdA4PnePyQ8zQmRt2HysZ8QZfvZQjAqNAbMST4SlgcdVhXNB8HKn7u9JxFTertldha8im2lnwKADDoTLA7beAlKIhI7dRwoERERH96K/0nRHkF4T+pt+OlQ9/jt8K9UpdERCpw7bXX4pNPPkFAQECn7j9r1iy8/vrriIiI6PQ6ZB0cvV/ZB3OC0qUuQ5WM3jPgsO5Fsv8Y+JlCcbhqlSDLNem8MCx0OoaHzAAA7Cj7GnvKFsPqbBBk+XanVZDlEBHJFQMjIqLW1NJ11OCw4pG9n+Cx/tPx7KAbEeEVhC9OrpO6LCJSuGXLlqGkpKRT93U6nfjpp5/wwgsvqCc4IvHYGn6E0e8BDAkehnVFC1D8x9XHXKWHEYODL8eosJvgqffFvoqfsKPsazTYqwWquOt4mhoRKY0aDoyISLs6c2l6V525XKVuL+1OB1489D2KGipxb6/L0DcgDi8d+g5me6PUpRGRQjmdTvTu3VvUdTA40ihr7Zt4P38DgkzRKLGc6MaSdOgbMBFjw2+Bvykch6tWYVvJ56ixdS7xJCKi05R6EEREJIWWQZISt58fZq7Csep8PDVwJj4YdR+e2P85TtUVS1JLXmZ48//HpnAMT6Q0a9eu7fJjYmNju3R/BkcaZnXUdys0SvIbhXHhtyHcKwXHazZjWc7TKGs8JWCFRETqp8QDHiIiOZG6G8nVTqsNJYdw5/a38NKQ2Xh/5FzM3bUAx2sLRKiwfS1Do7b+zSCJSP4uvPBC0dch++CI8xyJ4/3KPi4/NswzGROj5iLWZxBy6/bjm5P3o6D+iIDVdZ8WT1M7c0d/LhwEEMkDQyMiUhsxT1dTo2xzKebseBtvjbgbr6Xehjk73kGxpcot6+7M2JFBEhEBgF7qAkhZhgRfiRsT34Sn3h9Ls5/E99kPyS40Uru8zPA2f1xdBhFJg6EREZE4lBZcme2NeDhtIaxOO/4z7Hb4Gb2kLqldHDsSaZPsO45IHgw6Ey6LeQy9Ai5AWvkP2Fj8Aa9wJhCpd8BN6+c3SETuw9CIiNRMDl1H7rwSmxDPtbyxFv+352O8N+qveHnIbDyw50PYnQ4BqhNeXmY4x41EGqOIjqPunFZF3WfQmXBl3LNI9BuJH3Ofx7qidxkadZMcO37kVg+RWjE0IiJyD6nDq67KNpfgiX2fY1hICs4LE//4pzvhD8eMRNqiiOCIpKOHAVNjn0S8z1D8mPMsMms2S12SYskxLGqLEmokUiqGRkSkFXLZ3iktPEqrOIEccynOC+sndSkd4niRSJ5sNht+//13vPfee6ipqQEA5Ofno7a21uVlMjjSoM52cPkaQ3BV/D+Q6DsCP+U+j2yzPAYASqTEHasSayaSM7kcRBERuQu3e67ZWnIUY8P6wqQzSF0KESnMqVOnMGjQIFx99dWYO3cuSkpOdxa+8soreOihh1xermKCI56u5l79Ay/B7OQPEOGVgh9zn8XJup1Sl6RYSg5glFw7kZzw4ImISDqLclMV1Xm0In8Xgjx8Mbf35aKvq7tzFXGsSCQv999/P0aMGIGKigp4e3s3337NNddg9erVLi+Xk2NTK77GUFwS/SCS/EbhcOUqrCtaAIujRuqyFEsNO1NOgEjUPQyNiIjkQegJs8UKo47XFuCTE6txS9JEvJvxMxodNlHW0yQ2paRbY9aWj+WYkUhaGzduxJYtW+Dh4dHq9sTEROTl5bm8XMV0HAHsOhJbkCkGNyT+D+Geyfgh5yn8WvBvhkbdoIbQqImanguROzE0IiKtk9t2sKPuo6bfd+Y+YtpQfAieBhOGBieLuh6htZzTk+NHIvdzOByw2+1n3Z6bmwt/f3+Xl6u4jqP3K/tgTlC61GUo2pyg9LNCuFDPRExP+Bca7LVYnP0o6mxlElXXfUpqRVYSdh4RERGRWrTsPmpv7CjlmDKrrgjFDVUYHdobO8qOib6+7nYdtadpmRxDErnH5MmT8cYbb+D9998HAOh0OtTW1uLZZ5/F1KlTXV6uojqOSBwx3gNwXcK/UWerwPenHlJ0aCQXav2GRa3Pi0gMcvuWnYhIKnLdHsp97qPtZcdwQXh/+Bq93LI+McMdjiGJ3OO1117D5s2b0b9/fzQ0NOCmm25qPk3tlVdecXm5igyOeMqaMOJ9huLa+H/h+sTXUdGYh0WnHka9vVLqshRP7TtGtT8/IiHI9SCJiIiUY2nOVgSYfPDeyL8i1jvULesUOzziKWxE4oqPj8e+ffvw5JNP4sEHH0Rqair+9a9/IS0tDRERES4vV3GnqlF36WDwnIwbEv+OaO++KG44jhW5/0RGzSY44ZC6OCIixWNoREREQkivycNdO97Gq0NvxYej5+GRtE9woOqU6OsV67S1ls5cPk9lI+o+q9WKvn37Yvny5Zg1axZmzZol2LIV2XEEsOuoy3TeMHrPgHfYKniFvA+bw4Il2U/gy6y/4ljNBoZG1CX8poiobQyNiIhISDnmUty1422UWqpxY+J4qcsRDSfVJuo+k8mEhoYGUZat2OAIYHjUMRMMnpPgGfQmfCL2wDPoP3DYT6K+9Bosyn4Yp+p2SV2gKHjg5h7cqRO1xm0PERGJodbWgJN1xfDSe3R8Z4FI3QHEEInINXPnzsUrr7wCm80m6HIVf6oar7J2Jj30HmNg9L4KRq/LoNMHwWE9CmvtW7A1/ASnPQcAMCeIwZtY3NHeS0RERETa0Wi3IdjDvYduchnTtqxB6kCLSO527tyJ1atX47fffsOgQYPg6+vb6vdLlixxabmKD44AhkdNDJ6T4BHwNPTGJDhs2bCav4CtfhmcNvEv4UnalJcZzh04EdhtRERE4mp02OCpN7l9vXIJj5o01cLxJ1HbgoKCMH36dMGXq4rgSOt0hhR4BDwDo9cE2C0bUF/5dzise6QuS9OadmZS7WjduZNneERaxsCIiIjcocZmRoiHv9RlyAa7kIjatnDhQlGWq+g5jlpS/mlXJhh9ZsM7fC0MnhM7/Si9x1h4h/8MvTEZDeV3oqH85k6HRuzSEl9sSonbd2ZN63PneuX0TRSR2GbEpTX/EBERucOBylOI8g5ClFew29ct92CG41Ai8amq40ipp6zpjQPhGTwfOkMc4KyHwWsK7JY1nXhcP3gFvw9743ZYyu8CYBG/WHKJOzqQ5L5TJ1I6BkVERCSVvRVZcDgdSA1Owi8FFW5fv9xOWTsTO+CJTktKSoJOp2v39ydOnHBpuaoKjgDlhUd6j1HwCl4Ih+04Gipuh8n3buiNHXdP6fQx8Az5FA5bFiwV94KhkTKItdNtb0fJU9aIuodhERERyUGNrR6ZtYVIDU7BLwXSTEnB8IhI/h544IFW/7ZarUhLS8PKlSvx8MMPu7xc1QVHgLLCI4+A5+CwHUVD+V8AZz30hng47bkdPy7wnwDsaKi4DXDWiV8oCUbona6cdpDcYZNaMDAiIiK5Sas4gXFh/SStgeERkbzdf//9bd7+zjvvYNeuXS4vVzVzHJ1JCXMe6U3DYTANgLXmf4Cz/o/b+sFhO3LOxxk8J8DoNQmN1f8AHKXdqkEpAZvaCLVD68xyuPMk6hzOXUREJI5FualSl6AKeytOINYnFJFeQe3eRwcdDDrVHuIRkYsuu+wyLF682OXHq3qrIvfwyOR7Mxy2LNgbNwI4ffqZTh8Ih/XwuR4Fj4BnYLdsgb3hF/cUSorm7m+F5PwtFNGZGBYREYmP21hh7Ck/AZvDjjGhbR/jRHkF47eLnsfLQ2aLWofcv5TkWJTobIsWLUJISIjLj1flqWotyfa0NX0oDF5T0VjzKgDn6ZtMp1tPHdb2O46MvrdCZ0hEQ8W9gpUyJyhd9iGbGsm91ZdIjXjwQkRESlVjq8f+ypM4P7wfluVtP+v3F0cNgY/RE+PCxT+dTe7jWJ6yRlqVmpraanJsp9OJwsJClJSU4N1333V5uaoPjgB5hkcm7+sBOGEzf998m97UH05HJZyOgjYfo9OHw8PvftjMn8Npk9fzIWqJO2uSE4ZFROJpa3zFL6OIxLOp5DDu7jkF3gYP1NsbW/3O7nQ0/3//wASMCEmBj8ETi3O2osRSJXgtSgiPAPl3SBEJ6eqrr24VHOn1eoSHh2PChAno27evy8vVRHAEyC080sPoMwu2+mWA88+NuE4fBaejBoAOTV1ILZn8HwFgRWPNf91WqVLNiEtT/fn03AkSnRsDIyLxnGtM1fJ3DJGIhLWp5DD+1udKjArthfXFh1r9rqrxzwvmvD18DhodNuh1OgwM6oH7dr0PZxvHFwBwSdRQlFiqsLciq8v1yD08AviFJmnLc889J8pyVT3H0ZnkMngxeE6E3hgHW91nrW631S+F3hgPg9eUsx6jNw2GyWcmGmv+0ypsEop8QjVtUfNOLC8zXPYDCVInzllEJK6ujBnmBKVzjEEkoLz6cpyoLcQF4QPO+t3GksOoszXgSFUOAODajS/j0b2fIjU4GdfGj2l3mc8NuhHvjLgHvfyiXapJCeNZjklJKwwGA4qLi8+6vaysDAaDweXlaqbjqElTeCTlIMboczPsjWlw2A62ut1h3QW7ZSM8/O5HfcNKtOw68vB/GA7rUdjMX7m5WqLu4bc85E4MjIjE052xU9NjO/slXmfWJZcvBInc7deCNNyVMhmLcrbgaHVu8+01tnpctu55vDV8DnaWZ8BstyCt4gQWZ2/B3F6XI706HwerTrVaVt+AuOb/nxw9DBkZK1yqSSmdR4Aygi4iVzmdbXcWWiwWeHh4uLxczQVHTaQ6dU1nSIDRawIslQ+2+fvG2nfgHfoN9KbhcFh3AQD0HqNg8Bz/x4TYjjYfRyRnDI9IbAyMiMQl1JipvTmRXFk+T4lTFi1MI+AuX5/agAkRA/H0gOsxe9vrreY2sjsdiPMJw8qC3c23vXVsOZL9o/CvobMxZ8c7yK8vb/5dom9E8//7Gb1g0hlgddpdqksJ4RHAAInU6c033wQA6HQ6fPjhh/Dz82v+nd1ux4YNGzjHkaukCI+M3tPhdFTDVt9Omu+0nP6PsxYAoDP0gFfQfNgbd8Le8Iu7yiQSHMMjEgtDIyLxuGOcJMQ6zlyGUoKk9p67UuonadidDrxyZAk+GXM/LosejuX5O3FRxCD4mbzwU95O7CrPwMiQXgBOHztYnXY8se9zvDfyr3h7xN1459jPWF20DwCwsmAP8sxl8DV6YXbSRVg96Z9Ylrsd/zn6g0u1KSU8As4+fY3jVOqul19+GUuWLMHRo0fh7e2NsWPH4pVXXkGfPn9u0wsLC/Hwww9j1apVqKmpQZ8+ffDkk09i+vTpzfc5duwYHn74YWzevBmNjY0YPHgwXnjhBVx00UXtrvv1118HcLrjaMGCBa1OS/Pw8EBiYiIWLFjg8nPTdHAEuDs80sHoPR22hhUALG3eQ2/scfqeOj8Y/R6E0ed6OJ1VaCi/C21NmE2kJC130Nw5kxAYGhGJR8lzE8m5G6kzr6uc6+8Odh0JJ6MmH6sL92FOz0sxNWY4hgQn/fEbHTaXHMWl0cMQ4RmI4j+uplZtNeOBPR/iwT5X4R+Db8LMynF489hyHKrKxoGqU+gfEI8hwUn4OX8Xro0/D4UNFfjy5HqXalNSeNRSWzVzvEpdsX79esydOxcjR46EzWbDE088gcmTJ+Pw4cPw9fUFAMyePRuVlZX48ccfERYWhq+++gozZ87Erl27kJp6evt4xRVXoFevXlizZg28vb3xxhtv4IorrkBmZiaioqLaXHdW1unJ7S+66CIsWbIEwcHBgj43TU2O3R537ZD1phHQG+NhMy9u9z46QyIAwDtsMUy+t8HRuA0N5bMBZ4Xo9TVNYNnRlVI40SUJgZNnU3dwAmwicalpPy/luKXluMnVOtT0XpCw3s/8FRWNtaiymvH0/i+xOGcLHuo7DTodYHPYMTa89WkpRQ2VeGzfZ7hv1/vwNJjw/qi5eHLAdfA3esPLYAIAfHJiDb46uQG3JV+MMM8Al2tTS+DC8Sp1xcqVK3HrrbdiwIABGDJkCD755BNkZ2dj9+4/Tx3dsmUL7rvvPowaNQrJycl46qmnEBQU1Hyf0tJSZGRk4LHHHsPgwYPRq1cv/Otf/4LZbMbBgwfbW3WztWvXCh4aAew4auaOziOjz3Q4bNnNcxe1xWE9CFv9L7DVfwe7ZQMAm6g1tUfL34aRe/E8c+oqBkZE4lFzSNHVCbpdWbZY5gSlq2asxa4j4eSay3DLtjea/72u6AAiPAPxeP8ZMOoNGBPaBz/kbj/rcXsqMnH7tjdxeexIzO01FaNCe+OX/NMHrb5GT3yStRqXxQzDvT0vwwuHvnW5PqV2HrWF41Wqrq5u9W9PT094enqe8zFVVac7/kJCQppvGzt2LL799ltcfvnlCAoKwnfffYeGhgZMmDABABAaGoo+ffrgs88+w7Bhw+Dp6Yn33nsPERERGD58eKdqzc3NxY8//ojs7Gw0Nja2+t1///vfTi3jTAyOWhA3PPKE0etyWOsW4lynnNktq2C3rBKpBvGIORgjIgIYGBGJSc2B0ZmEHrNo6bUTCsMjcTjgxDMHvsI/Bt2ECyIG4EiLK661dd+f8nZga+lRPNzvGtycdHrulJ5+0ThWk4/3jq/EY/1nYEnuVhyqyna5JjWFRwDn7BSbX6YBBk/XLxkvBrvldD3x8fGtbn/22Wfx3HPPtfs4h8OBBx54AOPGjcPAgQObb//uu+9w/fXXIzQ0FEajET4+Pli6dCl69uwJ4PTk1r///jumTZsGf39/6PV6REREYOXKlZ3qJFq9ejWuuuoqJCcn4+jRoxg4cCBOnjwJp9OJYcOGufAKnMbg6AxihUcGr0ug0wfAVr9E8GXLiZq+ESMi+WBoRCQOLYceQnROa/n1I3lqdNjw5P4v0Ms/BkfPERw1KbVU49G9n2J8+ABEeQdjU+kRAMCKvF24M2UyxoX161ZwBKgzPGrCEEk7cnJyEBDw5+mbHXUbzZ07FwcPHsSmTZta3f7000+jsrISv//+O8LCwvDDDz9g5syZ2LhxIwYNGgSn04m5c+ciIiICGzduhLe3Nz788ENceeWV2LlzJ6Kjo8+53scffxwPPfQQnn/+efj7+2Px4sWIiIjArFmzMGXKFJefP4OjNogRHhk8xsJhz4fTflLQ5coRwyMiEgoDIyJxMPBozZUQyd2vodrGV+w6Eo/d6ehUaNTShpJDrf7tgBMVjbXwM3oJUlNTwKKmAAlgiKQlAQEBrYKjc5k3bx6WL1+ODRs2IC4urvn2zMxMvP322zh48CAGDBgAABgyZAg2btyId955BwsWLMCaNWuwfPlyVFRUNK/v3XffxapVq/Dpp5/iscceO+e6jxw5gq+//hoAYDQaUV9fDz8/P/zjH//A1VdfjXvvvdeVp8/Jsdsj9I7ZbvkVekMM9B7jBF2uXHFASkTdxdCISHi8wEXHOprImq+hcLidl7c6WwN8BQqOmqg5XGmaSJsTamuX0+nEvHnzsHTpUqxZswZJSUmtfm82mwEAen3rGMZgMMDhcJzzPnq9vvk+5+Lr69s8r1F0dDQyMzObf1daWtrFZ/Qndhydg5CdR3bLetgb98PD7z40lG8WZJlyp7ZvxojIPXggQSQ8Bh2u4esmPnYeyVedzQI/k7DBEaC+U9fa095zbCs8a7qvo75B1JpIXHPnzsVXX32FZcuWwd/fH4WFhQCAwMBAeHt7o2/fvujZsyfuvvtuvPbaawgNDcUPP/yAVatWYfny5QCA8847D8HBwbjlllvwzDPPwNvbGx988AGysrJw+eWXd1jDmDFjsGnTJvTr1w9Tp07F//3f/+HAgQNYsmQJxowZ4/JzY8dRB4QMPqy1b8HgeR70ppGCLVPuOOASjxZ2uKQdM+LSmn+ISFjcF5PccdsvT2J0HDWJTSlRdffRuZzZmcQxvXrMnz8fVVVVmDBhAqKjo5t/vv329NUJTSYTfv75Z4SHh+PKK6/E4MGD8dlnn+HTTz/F1KlTAQBhYWFYuXIlamtrMXHiRIwYMQKbNm3CsmXLMGTIkA5r+O9//4vRo0cDAJ5//nlMmjQJ3377LRITE/HRRx+5/NzYcdQJQnUe2S2r4LBmwOQ7C5bKnQJUpgxSdB7xm6vTlLIj0urAgXiwQCQmBkakJOw8kp9aWwOSjJGirkMr3UekDU5n+1dPb9KrVy8sXrz4nPcZMWIEfv311y6v3263Izc3F4MHDwZw+rS1BQsWdHk5bWHHUScJE3w4YbOs0sw8R0SdwdBIm9hdRCQuhkbqpPb3lfsFeamzNcDHcO4rRwmBY0EiYRgMBkyePBkVFRWCL5vBURcIER45LFugN0RAZ0jq+M4qovaBjhwp4dsbDhS0h4ERkfi4zyUiIZjtFvgYxQ+OAI4JiYQycOBAnDhxQvDl8lS1LuruaWtOZxUAQKfzQseNbOQKLbU5KyEcag8HCNrDwIhIfAyNSOl4ypp8dOa0GyG1HBsqeYxLJKV//vOfeOihh/DCCy9g+PDh8PX1bfX7gIAAl5bL4MjtdFIXQDKjxXO7GRppCwMjIiLqCoZHpMXxMZEQmibZvuqqq6DT/Zk9OJ1O6HQ62O12l5bL4MgF3ek60umjAABOR7mQJREpBkMjbWFoROQ+7DYiIjVheETUdWvXrhVluQyOXORqeKQ3DYDTXgqno0iEquTLXVdV47dTRPLAwIjIvRgakdqw64iAP79wZIBE1DkXXnihKMvl5Njd4EoYojcNgN16UIRqSMm00oWjleepdQyNiNyLoRERqV1sSgnHkUSdtHHjRvzlL3/B2LFjkZeXBwD4/PPPsWnTJpeXyeDIzfTGZDhtx6Uuw63YbUQAQyMt4BXTiNyPoRERiaXRYYO3wQN6Gc3R2hQgcVxJ1LbFixfj0ksvhbe3N/bs2QOLxQIAqKqqwksvveTycnmqWjd1/ZQ1J5xwbUIqUjeex01KxsCIzuSOQMNdX0zIFUMjUjueriatYzX58DJ4INEvEidqC6Uu5yxnhkccRxOdvqraggULMHv2bHzzzTfNt48bNw7//Oc/XV4ugyN3c9qh02nnZWe3EQHsNlIzBkbaJnVwMScoXbPhkdSvPRGp39HqXNidDgwIjJdlcEREZ0tPT8f48ePPuj0wMBCVlZUuL5enqgmgS4NWvS+cjjrxipEZDmy7Ro0BixqfE53G0Eib5gSlN/+QNPjaE5E71NsbkVVbhH4B8VKX0iF2GxGdFhUVhePHz54aZ9OmTUhOTnZ5udppfZEJnS4YTkeF1GWoCruN5IuhkToxMNIuOQYWWuo6kuPrT0TqdqQ6B/0D5RscMTAiau2uu+7C/fffj48//hg6nQ75+fnYunUrHnroITz99NMuL5fBkUA6M9eRTh8Fnd4HTieDI2of5zoiuWJgpG1yDi2UEh7J+TUkImrLoaocTI0ZAW+DB+rtjc2366CDE04JK3NfaCTGF6Ec65NYHnvsMTgcDkyaNAlmsxnjx4+Hp6cnHnroIdx3330uL5fBkRt5BP4TDnsx7A2rpS5FNdTabaSG8IjdRurAsIgYdnQfX0Mi13GCbGkdqDwJg06PO1IuwTvHfoYTTkyMHIxnBl6P7WXH8FPeDmwqOeLWmtwxRhZ7HNve8m11FuSIumZSO51OhyeffBIPP/wwjh8/jtraWvTv3x9+fn7dWi6DIwGdq+vI4HUljF6XoKH8LsBZ7ebKSImUGh4xMFI+hkXUREmBh1y7jpT0GhIRnelkXTHeTP8J83pfjhjvEDx34GtMjz8PueYyBHv44ZWht6LMUoPFOVvwadYaUWtRQ2BE5C4eHh7w9/eHv79/t0MjgJNju4cuGJ4Bz8NWvxx2y29SV+N2HDRrB3e2yjMjLu2sHyKA224iueLfJrnbt9mb8OjeTzEmtA8e6XctPPQmWB02zN25AE/u+xxOOHFdwjhRa3DXl6lK/NKWqCWbzYann34agYGBSExMRGJiIgIDA/HUU0/BarW6vFwGRwJr69tOz8BnAZ0BlupnJaiIlExJQYySatUyhkTUGUo8MJVjtxEg37qIiLpiS+lRvHx4ES6LGY7jNQVI8ovEnJ6XYl3xQXx9agOCPfygh06Udbs7zGF4REp233334f3338err76KtLQ0pKWl4dVXX8VHH32Ev/3tby4vl6eqiczgORFG72tgqXwQcJRKXY5k5HoKgRLI/ZQ1BkbyxWCIukqJgREREbnHqsK9CPMMwLzelyOt/ARuSrwQO8oycLAyGwBwddxoLM3dJug6pRoDN62X41xSmq+++grffPMNLrvssubbBg8ejPj4eNx4442YP3++S8tlx5EImgMSnR88Al+ErWEdbPVLpC1KpXhgLC3uTOWH3UTkKoZGRETUka9PbcBrR5YiNSQZBfXleGrgTOSYS/Bz/i7ckjQRBp1wh5dy+OJUDjUQdYWnpycSExPPuj0pKQkeHh4uL5fBkYhMfvdBpwtEY/UTUpciCzwocZ0cAxo51qRFPPWMhMDts7jYcUtEarI0dxv+l/4Tor1D4GXwwKtDb0WAyQehnv7wN3oLsg45BTZyqoWoI/PmzcMLL7wAi8XSfJvFYsGLL76IefPmubxcnqomkk+rh+HeyL/Aal4Ipz1P6nJkg6esuU4up6wxMJIeAyISAsMiIiJyRV5mOF7PTEdvUx9cGJ+EOK9IDAzywj+3rMOhoz4AfJrvq5ZxY15muGqeC6lbWloaVq9ejbi4OAwZMgQAsG/fPjQ2NmLSpEm49tprm++7ZEnnz4picCSSwcFXADoTbHWfSF2K6s2IS8Oi3FSpy1A97izlgaERdZdaAyO5fzHxfmUf1b72RGLjWE+eHl67Eo+MvgDX9xuEsnozjleUnXUfOXzpKZSWz4XjYpKroKAgTJ8+vdVt8fHx3V4ugyORDAm+CgcrVyPZwY3KmcQY3GtlQCFF1xF3jPLAwIi6i6EFkXrIPSgl9Wo5Dq21NuKZTavxbtp2vHzhZHxy+XR8cmAPXt62ARa7TcIqxSfWeNxR3yDKckk7Fi5cKMpyOceRCEI9E+FvCsexmg3cqbeDBzDyF5tSwtBIJhgaUXdxmysPHBMQkZK1F5YU1tXitp+X4JmNq3FDv0H4afpf0C9UPZ1GRMTgSBTxPkNhczQi33xI6lJkTegDGa0cXLsjzGFgJA+c8Jq6a05QOkMjIiLqts502Hx2KA1XLv4CdocDP1w7C3cMHg6dG2ojoj+VlZVh7ty56N+/P8LCwhASEtLqx1U8VU0ECb5DUVB/GDbn6ZnMOa9B+9hq7RoxT1ljaCQPDIyoO7jPkS+OCYhIzTIqynD1ki/x0Kjz8fTYi3B930FYk30CBbU1MFutyKqqwK5CXjiISCw333wzjh8/jjvuuAORkZHQ6YSJbxkcCUwHPeJ8hmBX2fetbudAsX1ChkdamesIECc8YmgkDwyNyFVa38/wywgiIuk1Oux4adt6rD6ViZl9B+Hqnv0Q4uUNT+PpQ89fszLwwpa1yK2plrhSIvXZuHEjNm3a1HxFNaEwOBJYpFdveBp8kWM++8CP4VH7ONiXHkMj6TEwIldx36IcfK9ICBwzkRJsL8jF9oLc5n8bdDpcmtQLT4+9CL9ffxve2LUVC/bukLBCIvXp27cv6uvrBV8u5zgSWJR3H9gcjSiqP9bm77mjF5+WDr4Z9qiHlj63JBzOYXQ2vh5E6sT9pPLZnU78fOIYJn3zMT49uBePjRmPB0eMlbosIlV599138eSTT2L9+vUoKytDdXV1qx9XseNIYN6GANTbq+CAXepSFIddR64R4pQ1BlDS4mCYuoLBiHLxvSMipRJyigSzzYqXt61HRUM9HhszHjk1VViUzosKEQkhKCgI1dXVmDhxYqvbnU4ndDod7HbXcgoGRwLzNPijwV5zzvvwlLX2CRUeaWmuI+DP4MeVHTpDI+kwMKLO4j6ja/hFBKkZP9ukFgv27kDf0DA8Ono8VmQeQ73NKnVJRIo3a9YsmEwmfPXVV5wcW86MOg/YnR1v9BgetY8Dftd15dsgBkbSYmhEHeE+onvkti/h+0lEdLbXdmzG1Bv64JaBqZzviEgABw8eRFpaGvr0EXYMxOBIYDZnIwy6zr2sDI/EpbWuoyad6T5iaCQdBkbawG27PDS9D3IKkIi6g59lUpvcmip8e/QA7hk6El8e3ouaxkapSyJStBEjRiAnJ4fBkdw5nDYYdB6dvj/Do7bxlLXuaxkONYVIDIykw8BIG7g9lycpAiR+FoiEp+VxnZq9tXsrruszAHcOHoHXd22RuhwiRbvvvvtw//334+GHH8agQYNgMpla/X7w4MEuLZfBkcDsTisMOlPHd2yh5UD2XAPNzt6PWuMgg4GR1BgaqR+3ycpw5vvUXpDE95OI6GxCTpDdUrG5Dp8d3Is7Bo/AJwfTUNEg/KXEibTi+uuvBwDcfvvtzbfpdDpOji03ZZZTCPSIQqRXHxQ1dH3g2dlvQ9mp1DUMj0gKDIzUjdtg5eN7SErC09RIzebv3YGb+g/BvUNH4aVt66Uuh0ixsrKyRFmuXpSlalh69TqUNpzEBRF3iL4utQ8gOKAnpZoRl8bQSOW4fSIikgb3r+pU0VCPD/fvwq2DhmFAaITU5RApVo8ePc754yoGRwJzwoFNJR8h3ncoeviOEH19ag+PhMSBBompKSzi50z9GBoREREJ790923GsvBRvXnw5vI1dm/qDiP70+eefY9y4cYiJicGpU6cAAG+88QaWLVvm8jIZHIkgq3Y7cs0HcGHk3V2e78gVag6PhD5A40E9CY1hkbYwNCIiIhJHo8OOv/2+HNF+Afjs8unoERAkdUlEijN//nz8/e9/x9SpU1FZWdk8p1FQUBDeeOMNl5fL4EgkawrfQpBHDMaE3eyW9ak5PBIaD/Kpu9hdpD1zgtIZGhERyQT3v+p1oqoCt6xYhEhfP/xy3S24ZWAqdFIXRaQgb731Fj744AM8+eSTMBgMzbePGDECBw4ccHm5DI5EUmY5iW0lX2BE6HUI8Yh3yzoZHnUeBxzkCoZF2sTAiIiI6DR3XKl3Z2Eepnz3Kb5PP4jnz5+E76fdiAvjEwVdR5i3D/Q6RlKkPllZWUhNPfuiUJ6enqirq3N5uQyORLSr7HtY7HXoF3iJ29apxvBIrIM2BgDUGewu0jaGRkRERO5ntlnx7KbVuPHHb2HSG/Dp5TPw2eUzEO3r363l9gsNx5JpN2HXLX/FN1ddL1C1RPKRlJSEvXv3nnX7ypUr0a9fP5eXy+BIRA7YcKxmPfoGTgTYZClLDAOoLQyLiKemEZHccJvUGvfR2rA1PwdXL/kCt/28BL2CQ/HrzFsxObGnS8uK8PHF0mtugo/JhE25pzAkIkrgaomk849//ANmsxl///vfMXfuXHz77bdwOp3YsWMHXnzxRTz++ON45JFHXF5+l4KjH/IGu7wirTpatRoBpgjEeg902zrV2HUkJg48qAnDIgJ4cEZE8sXtU2vcZ2vH2uwTuPS7T7CnKB//uGCSS6eZXZLYE15GE4rNdfj6yH54GowI8PAUoVoi93v++edRW1uLO++8E6+88gqeeuopmM1m3HTTTZg/fz7+97//4YYbbnB5+V3uOFqUm4pFuWefM0dty68/jKrGQvQLnOTW9aotPBJ7oMSBh7YxMCKAXUZEpAzcTpFWVTda8MauzYjy9cd5MV2fQ/brI/vx5IZVGB+fiNHRcQCAUG8focskkoTT6Wz+/1mzZiEjIwO1tbUoLCxEbm4u7rjjjm4t3+VT1Rgedd7R6jXoFXABDDqT1KXQOTA40B4GRgQwMCIi5WnabrX80Srux93PHRNkt2dvcSFyqqswqUdKlx/rcDrx5eF9WHniGGYPTIXFZsN1fdx3VgiR2HRndOL5+PggIiJCkGUbu/PgpvCIG+xzO1q1GqPDbkKy3xhk1Gx023rfr+yjqoHEnKB00TupZsSlMRTVAG6zqImatpFEpG0dbc/U1o3eEsdv2nKkrBhDI6Jdfnx6eRmGR9Xhx+NH8Ndho7G3uAC/nTwuYIVE0ujdu/dZ4dGZysvLXVp2t4KjJotyU3kgdg7ljTk4VbsHF0TciazanbA5G6Quic6h6bPMAYj6cDtFTRgYEZHWNG331BogMTxyr9iUEuRlhkuy7u/TD+KDKdfgooRkrM0+0eXHj4mJw5GyErywZR2mJPXGyOg4BkekCs8//zwCAwNFWbYgwRHA7qOOrC58E7OT38PY8NnYUPy+29bLriPXcQCiLtw2URM1bROJiOhPHLu5l1Th0aqTmdiSl42nzrsQm3JPwupwdPqxM/oMwOiYeNz+8xIYdDoEe3mjsK5GxGqJ3OeGG24Q7NS0M7k8x1F7uLFuW5U1H1tKPkNqyDWI9FLnNz3u4s6DPoYNROqh9XlAiIgA9YfnHLu5l1TzHf1j8xrEBwTh7yPHder+OgD3Dz8Pr110GRanH8Ka7BO4PKUPfEwmbM3LFrdYIjfo6BS17hI8OAJ45bX27ClfjJKGTEyO/jv0MEhdjqK5OzziIETZ+P6R2g+UiIi6Qu3bRO731e9oeSle37kZdw8dhVF/XCGtPb4mExZcejUeHDkO/96xEf+39hcAwD1DR2FDThYOl0k32TeRUFpeVU0MogRHTRggteaEA6sKXkeoZw8MDJritvWq9Vx2d+MgRJn4vhEREWkP9//uI1XX0Xv7dmJnQS5enzgV58XEt3u//06cirGxCbjzl6V4Z892AMD4uET0D4vA/LQd7iqXSFQOh0O009QAkYOjJgyP/lRiycTR6rUYHfYXGHWeUpejaFJ8W8buI2Xhe0WA+r9ZJyJyhRa2jRwHuI8U4ZHD6cSDa35GibkOX191PT6dOh39Q8+ec8nLYMSOglz8fiqz+bZ7UkdhX3EhtubnuLNkIsVyS3AEsPuopa0ln8HbGIihwVdJXYriSTXoYYBEpAxaODAiIiKSAynCo/zaGkxb+iXu/nUZ4vwDsOzav2BkVGyr++wrKcTg8Kjmfw8Oj8LY2AQs2MtuI6LOEuyqap21KDdV8wfcVdYCHKz8BSPDrseByp9hcdSJvk61XV2tJXdeae1Mrn6WGaISiU+t2zwiIiK5kupKa79mZWD1qUx8fvkMvDv5Kly+6DMUm08fY1U21MPfwwM6AE6cntsoq6oCv2ZluL1OIqVyW8dRS+w+AraXfgmDzgPDQ6+TuhSSQFPHktZDVCKxMDQiIuoYt5UkBqnmPLI5HJi3ajlsDgfmT74KJv3pQ93LU/pgX3EhnACSAoMxJbkXPti7Ew6RJxMmUhNJgqMmWg6Q6mzlSCv/AcNCroWPIVjqchRPyQOfliESgySi7lPy9oCIiEgNYlNKJAmQyhrMuPe3ZRgYHomHRl2Ay1P6YHhULN7YtQUAcNeQESirN2PxsUNur41IySQNjppoNTzaVfYd7E4rRofd5Jb1qf3qamo5WGSQRERERERqIEV4tLe4EEuPHca42ATMHjAUG3JOYmt+DsK9fTC9zwAsPLAbFrvd7XURKZnb5zhqT1N4JNcD5b4BE9HTfxw2Fn+IKmuBIMu0OGqxq+w7nBc+G3vKF6PKWijIcrVMyvmOxNLW34RWw9bOkut2hMSnlgCZiIhILc4Mj9wxB1KdtREeBgN6Bkfh3zs2AQBuHpiKRrsdXxzaJ/r6idRGNsFREzlOnj0waAouif47AKDWVoZ1Re8Ktuy08h8wNHgaLoqahx9ynhJsuVqmxvDoTAyTzia37Qa5H0MjIiIi+WsKksQMkBrtdviaTPAymnCotBgAcE2v/vjp+FFUN1pEWy+RWsniVLUzyW3uoyivvqhszMPO0m/RL3AiDDpTu/f1NYbg+h5v4PaUz3BR5DwEmmLOuWyb04LfC19Hkt8oDA2eJnDlZ1N7oKJlWj7FTWvPl87G0IiIiM4kp+MJOpuYp7E12u3Q604f6oZ5+2BweBTiAwKxPJPjBSJXyDI4aiKXjX2ueT+CPGJxonYbvAwBSPEf1+59r4l/Cf6mcGTV7kBP/3GYnvAyPPV+51x+Vu0OpJUvxQURdyLMM1no8jWJB5HQZIBE2sS/dyIiOpNcjiPo3MQKjyx2O0wGA4rratE7JAxXpPRBibkO2/NzRFkfkdrJOjgC5NF9lGPeCwDwM4Ujz3wAAwOntHvfEM8E7Cz7BmuL3sa3px6Ap8EXl8Y8DEB3znVsLP4Q5Y05mBr7BIw6TwGrP5tWuo54MHmaVruQSBv4d05ERGeS+tiBukaM8KjBZoW/yQPHK8vROzgUFyUkY9XJ47A7nYKvi0gLZB8cNZFyB1BnK0dpw0kk+KbiYOVK9PAbhgBTZJv3rbWWItlvDACg2lqElfmvIsX/PIwLv+2c67A7rfgl7yUEmCJwYeQ9gj8HreJBZWtqDJDU9nyo8/j3TUREZ2JopEyxKSWCBki/Zh2HTqeDXqfDhfFJ6BUSiszKcsGWT6Q1igmOAGm7j3LMaUjyHYkTtdvRaDdjQODkNu+3tugdJPqNRN+AiQBOn4a2vug9jAq7AcNCpp9zHeWNOVhftACDgy9Hz3OcDicErXQdUdvUGCCRtjA0IiKiMzE0oiZ5tdX4/ugB9A4ORaWlAQCwJS9b4qqIlEtRwVETKXYK+yqWw9sYiNTgq3G0ei0GBU9t85SyrNrtSK9ahwsj74GXIQAAsKd8MbaXfoULI+9GjPeAc67nQOXPyKjeiEuiH4SfMUyU56I1PMBsnxzCo+6cSieH+sn9+DdNRCQMfpFIciNk19E7advha/LA5txTmPj1RzhSJt5k3ERqp8jgCHB/91FFYw52ln2HEaHXI7NmC3yNoUjyG9XmfdcVvQu9To8LI+5uvm1P+WIAgI8xqMN1rSp4AwadB3oFjBekduKB5rm4q/vozKu+tbXeroRIDI20iX/LRETd935lH9WFRuw2ojPl19bgmU2rMaPvQDw8+gIkBwZLXRKRYik2OGrizp3EjtKvUWsrxfDQGahqLES879A272e2V2Jz8UL0D7oEgaYoAICP4fSGymyr6HA9FkcNqq1FCGxnHiWhqG3A0BEecJ6bkAFSRwFRd+thaKRN/BsmIuoeNQZGpD5Cdh19e/QA7l+9AoPCo/Db9bfhloEMGIlcYZS6ACE0hUdiH0zanY1YU/g2rk14CQAQ7ejf7n0PV/2O8yPuRP/AS7C19PPmTiOzrbJT66qxFsPfFNHdkom6rOnvqCuhrJh/ey2XzW8TiYiIukYLQRHHB+oTm1KCvMxwQZa1LOMIVp44hsfGjMfz50/CzoJcHOZpa0RdoviOo5bcsdM4VbcL6dXrAAARXilI8B3e5v1sTguOVa9Hv8BLAOiar8JmtlcCAK6IfRoXRrR/9TQvgz8s9lohS2+TFgYTLbFjofPO1S3U3W6i7tZE2sO/XSKirmF3EdGfLHY71pw60fz/RNQ1qug4askd3UfrixYg0XckPA2+6BNwIbLrdgMAIr36oMFehSprIQDgUNVvGBQ8FfE+QxDjPQBllpNodJgR5zMEvQIuaL5PqeXEWesI9ohHRvVG0Z6Dls0JSudAqosY1pCUGBoREXWMYxuicxsZHYfSejMyK8ulLoVIcVQXHDVZlJsq2sFuna0cW0s/x4TIe5BVux0AoIcBNyW9BQD4JPMOVDTmoKD+MMotORgdNgt55gMIMEUhzDMZw0Omo7IxH37GUPTwHXZWcORrDIWnwRfljTmi1E/y1nSQzAEgaR0DIyKis3F8cLYZcWk8XY06NCo6DrsKcqUug0iRVHWq2pnEvPJaWvkSfJp5F2yORnjqfeHfYiLr1JBpzf//e+EbiPbuh2jvfqhqLMCspHeQ5DcKm4o/Qq55PxJ8h521bF9jCACg1lYmSu1n0uIARAkHpEqokUgs/PwTEZ3WdMoZTz0jcp2H3oChEVHYWZgndSlEiqTq4KiJWOFRn4ALcU3Ci/hrn6WI9x0CAMg3H0K/wIvhqfcDAOSZD2B53guI8x2CisZc7Kv4CSvyXkRGzUacqtuDOJ9BMOhMrZZrsdcAADz1vqLUTfJ15sEyD55Ji/i5JyKtY1DUdTytns5lYHgkvIwm7GDHEZFLNBEcAeJ0Hx2sXNn8/5dEPwgA2FD8AXTQITXkmubfZdVux6/5ryLFfyxS/MfCqPMAAJyq2w2j3hOxPoNbLbfeXg0A8DYECFrvuWhxYKKUg1Ol1EkkBH7eiUjLGBYRiWNUdBxqGxtxuLRY6lKIFEkzwVETIcOjGlsxfsr9BwAgq3YnVuS+iIL6w9hfsQKpIde06hhKr16HL7LuRWH9EUyJfRSpwdNQZjmJMsspjI+4C0adV/N9nU4HAMDLjcEREZGU5gSlMzQiIs1iYCQMdh1Re0ZGx2JPUT7sTqfUpRApkuaCI0DY7qPjNZuQXbcXgaYoHK/ZDADYVfYdjDpTq64jACiznMSKvBexq+w7TIj6KxJ9R2JF3osI9IjG9IR/IcAUCR9DEK6IexqNdjNyzHsFqbGzOGCR3pnvAQeSpAUMjIhIy7ifFxbDI3XIywwXdHlRvn7Iqa4UdJlEWtKl4KggK0zwP2IpCRUerS+ajyCPGAwJuQoAYLZXYF/FcqSGXNvmPEWbij+G0+mAnykUZZaTWHzqUfgaQzAraT5mJ3+ACK9e+CnvBVQ0uv8cXC0NXuT+XOVeH1F3scuIiLSO+3pxzIhLY4BErRTU1iLS11/qMogUy6WOo7zMcNUESEJ0H5VasrC/YgXOC7sZIR7xANrvOgIAH2MwdDo96mwVAIDChqP4MutenKjZiqzaHfjsxF3IrtvdrZpIudhlRGrHwEgbOLkv0bnxb0N8DI+USYzjzIK6GsT6MTgiclW3TlVjgPSnzSUfo8ZajGnxL8LHEAyzvQJHqlajX+DFZ93XzxgCAKizlTffZnHU4deCf+PXgn+j3l7lch1C4ECGiMTAwEgb2gqLGCARtca/B/dheEQAUFBbjWgGR0QuE2SOI7UFSK5odJixNOcpGHRGTIt/AUadFzJrtyLIIwZBHrGt7ts7YAKcTgdqrPKd1Z8DGiISCgMjbehMOMR9CxH/DqTA8Eg5xDqmzKutQZCXN3yMJlGWT6R2RiEX1vSHHptSIuRi3a4pPOrqTqbWVoIfcp7CzB7/xeWxT+CX/H/B5mjEFbFPIat2B3LNBxDrMxAjQq/D+qL3JO8sIiISE8MibejqQfD7lX342SAiolbEbkIoqK0BAET7+SOzsryDexPRmUS5qpqauo+62oFUYjmB5XkvINFvJM6PuAPL8/6BisZcDAi6FNcmvISRoddjU/HH2FO+WKSqhaPmUwvU+ryI5ILBgDZwW0rUNfybkQ67juSn6awVdxw75tdWAwBieLoakUsE7ThqSS3dR0DXO5BO1e3G7wX/w+SYv6O6sRAr8l4EAAR7xMHhtKPKWiBarWLgt8NE1FncVmgDD36JSIlmxKUJdlVl6h53NxoU1tXC4XQixi/AreslUgvRgqMmWg2QDlWtRIApAhdE3oVqazGO1axHRWOu2CWKpukgQQ0HhTzgIRKHGrYPdG7cfhK5jn8/8sDwSHpSnJ1iczhQbK5lxxGRi0Q5Va0tajl9Dej8KWxbSz/D4cpVuDTmYcR6D3RDZeLj5ZWJqC0MjdSN230iUhOetiYdKY8JC2pr2HFEonr55ZcxcuRI+Pv7IyIiAtOmTUN6eusxcmFhIW6++WZERUXB19cXw4YNw+LFbU9jY7FYMHToUOh0Ouzdu9cNz6B9oncctaSm7iOg9RXY2tsBrSp4HX6mMFwV/xy+OfkgKhpz3FWe6No6iJD7wSMPfIiEJ/e/e+ocd20f+XkhLeL4Q37YeeR+UjcS5NfWIJodRySi9evXY+7cuRg5ciRsNhueeOIJTJ48GYcPH4avry8AYPbs2aisrMSPP/6IsLAwfPXVV5g5cyZ27dqF1NTW26RHHnkEMTEx2LdvnxRPpxW3BkdN1BYgAe2HSA7Y8FPu87i+x+u4Jv5FfH3yPlVfTa3lwIgHB0Tqx79zZeJBLBERdaS9oEepx3D5tTXoF6qes2BIflauXNnq35988gkiIiKwe/dujB8/HgCwZcsWzJ8/H6NGjQIAPPXUU3j99dexe/fuVsHRL7/8gt9++w2LFy/GL7/84r4n0Q63narWFqlTZ7E0ncrWFCY1OsxYmvMUTHovTIj8q8TVuQ9PayNSN4ZGysNtMpH78W9OvnjKWts6utKZK8dwcjjuK6it5hxH5LLq6upWPxaLpcPHVFWdbhgJCQlpvm3s2LH49ttvUV5eDofDgW+++QYNDQ2YMGFC832Kiopw11134fPPP4ePj4/gz8UVknQctaTG7qOWWnYixfkswGWxj+Fo9Wpk1e6QsCr3YycSEZE05HTQyu0/aY2c/v6IOtKVcCcvM1xxx295tTXwMpoQn++LyroG1PSyS10SnSH4uA1Gk03qMlqxWU/XEx8f3+r2Z599Fs8991y7j3M4HHjggQcwbtw4DBz453zH3333Ha6//nqEhobCaDTCx8cHS5cuRc+ePQEATqcTt956K+655x6MGDECJ0+eFPw5uULy4KiJ2gMkAPjn4QoEe6ZjTNhDyDXfAqujXuqSJMEQiUj5+LcrfzxgJZIW/waVgXMdneZqF5Fcj938Mwxn3VbVUAdcCkQHBaCyrgH+GQaGR9RpOTk5CAj4c3J1T0/Pc95/7ty5OHjwIDZt2tTq9qeffhqVlZX4/fffERYWhh9++AEzZ87Exo0bMWjQILz11luoqanB448/LsrzcJVsgqMmct4ACeHfR5bii7F/R4T3w/hf+k/Nt2u1VdadIRIHcESkBXLd1jFsJCKSn+6eQtaZYzd3nabWVljUkslw+vdOOFs9ZkB8JEaMTcAvJ44hs7Jc1BpJuQICAloFR+cyb948LF++HBs2bEBcXFzz7ZmZmXj77bdx8OBBDBgwAAAwZMgQbNy4Ee+88w4WLFiANWvWYOvWrWcFUyNGjMCsWbPw6aefCvekukB2wRGg7u6jwoYKfHD8V8zrfTlWFezF4erTV1lr65sOrYVJ7EQiInKdXAMjIq3h36LyaLHrSMgwp+WypDh+6ygwajIoIRINVhuOF5Q13zamVwI+uGc6AGBiQjKu/eErUWokbXA6nbjvvvuwdOlSrFu3DklJSa1+bzabAQB6feuppg0GAxwOBwDgzTffxD//+c/m3+Xn5+PSSy/Ft99+i9GjR4v8DNony+CoiVq7j77P3oxLoobisf7Tcfv2t2Bztt0i2bQD01qABJw96GKQRETUNiUcpHIbTlqhhL9HUhdXrnwmZgeQuyfB7mxoBACDEqJxOLcItj8O0AEgNSkGZTV1OFFUjjqLVYwSSUPmzp2Lr776CsuWLYO/vz8KCwsBAIGBgfD29kbfvn3Rs2dP3H333XjttdcQGhqKH374AatWrcLy5csBAAkJCa2W6efnBwBISUlp1b3kbrIOjgB1hkcOOPGvw4vx0ej7cFPieHyWtfac99dygNSE3UhERH9S0sEpt9mkBUr6myR16CigkcNVzMTUlcCoyaCEKKw5eLzVbXGhgSioqMHAhCi8vXIL5z2ibpk/fz4AtLpCGgAsXLgQt956K0wmE37++Wc89thjuPLKK1FbW4uePXvi008/xdSpUyWouPNkHxwB6jx17XhtAb4+tQG3Jk3CuqIDyDaXdviYRbmpmg6PmjBEIiKtUepBKbfRpGZK/buktinldDW1B0Kd4UpoFODtibjQQBzJa308WVXXgIEJUQCAXZl5gtRH2uV0Oju8T69evbB48eJOLzMxMbFTyxWbIoKjJmrrPvr4xO+YEDkIj/Sfjvt2vd9qorb2sPuotaZBW3sHJxzUEZEScFtFpBz8eyWSjiuhEQDUNjSisLIGqYkxWL77SPPteRXVzf9f32htXge7johaU1RwBKir+6jRYcOrh5fgrRFzcEXsSPyUt6PTj2X3UWscxBGRnHEbRaRs/BsmOdB6t5GroREAOJxOLNt5CDedn4p//7geDVYbAGDNweN4bNoEAEBCWBCyisub18XwiOhP+o7vIk9q2XDuqcjET3k7MbfXVIR4+HXpsUpopyUi0rL3K/to9oCTp6mRGmj5b5hITroTGjX5Ycdh+Ht74uLBvZpvK6iowc9pRwEAJkPrQ2Mh1kmkFooNjgD1hEfvHFsBg06PK2NHdfmxDI+ISAo8kOoYXyMi5WJgRCQfQgU4ueVV2J6RjWtHDWh1+6s/rMfrKzbiUE6RaOsmUjpFB0eAOsKjGls9NhQfwuQo10IghkdEJAUeVLWPrw2RcvHvl0i9Fm8/iJE949E39s9jyFB/Hzx4+QX47ek78fszd2FIYnSrx/hnGBggkeYpPjgC1BEe/VqYhkS/CPTxj3Xp8QyPiEgKPMA6G18TImVilxGR/Agd2Py27xhOllRg7qVjm2+bOqwvKuvq8egXPyMy0A+D/7jKWlu1MEAirVJFcAQoPzzaXX4c5ZYaTI52PQBieCSOOUHpnKuD6Bx4oEVn4jaTlIbbMSJtsDucePfXrZgwILk5IEpNisHOzNzmCbPXH8465zKaAiQGSaQlqgmOgNPhkVIDJLvTgXXFBzE2rG+3lsPwiNRqUW5qmz8kDzzoopb4eSAl4eeVSFtW7k1HRkEp5l12uusoITQIR/OKMXFgCjIKSpFdWtml5TFEIi1QVXDURKnhUX59OUI9/bu9HB5Mk1p0JiBiiCQfPPgiIqXhdouacByhHU4n8PbKLTivdw+MSImDh8kAu8OJC/snY+3BzG4tm91IpFaqDI4AZYZHlY218DV6waTr/kaGOz/hcFApDVc+wwyQpMc5QohICbitopY4dpAnMYOXNQczcSinCPOmjIWXyYgB8ZEI8vXG6m4GR2diiERqodrgCFBeeFRprQMABHn4CbI87gSFw8Gle3X3s8sASXpNB2X829EuvvckV/xsEhEAvPXLZgxPjkVxVR0uGdwLRVW1OJxbJNr6GCKRkqk6OAKUFR5VNDYFR76CLZMHz6Rl/PzLA0MkIpILbofoTBwraNfm9FPYk5WHhkYrdmfm4pO1u9y2bp7SRkqj+uAIUE54VNkUHJmEC44A7hBJWfh5VTeGSNrC95nkhJ9HOhPHHPTur1vRMzoMb6/cgi82pklWR1OA5JfJEInkSRPBEaCM8KjKKnzHURPuGEmr+NmXLwZI2sD3mOSAn0Miasv2jBwUVFRj8pDeUpdCJGuaCY6A0+GRnAOkensjLHar4B1HTXgATXLHz6g28YCOiMTEbQy1hWMOavL7/uO4eHAv6HU6qUshki1NBUdN5BweVTTWidJx1IQ7SdIifu7lj91H6sb3lqTCzx4RdWTNoUyEB/giJTJE6lKIZEuTwREg3/Co0lqLYIGuqtYeHkQTkVwxQFIvvq/kbvzMUXs4FqaWjuWXAAB6RYdJXAmRfGk2OALkGR5l1RZhQGCC6OvhDpO0hp95ZWGApE58T8ld+FkjUr6aXna3rKe63oLCyhoGR0TnoOngCJBfeLSp5Ah6+kcj2itY9HXxQJrkhJ9HagsDJCLqKm4z6Fw43qC2HM0rwdg+PTjPEVE7NB8cAfKaNHtHWTqqrWY82n86jDrxL8fInScRKUFTgCT3A0K510ekdvwbJCJXfLx2J/rHRWLm2MFSl0IkSwyOWpBDeGS2N+LxfZ9hSHASHus/3S3rZHhEREoi1wBJjjXJzZygdKlLICIiOktaVj4WbT2A+6eOQ0SAeBcqIlIqBkdnkEN4tLciC/88+B0uixmOu1Imu2Wdi3JTGSCR6vEzri5yCpDkUgeRlvHvkNRMDscoavf6io1oaLThsWsukroUItlhcNQGOWyYVxftwzvHVuDW5Em4MnaU29bLA2siUhqpAyQerBIRESlfdb0Fryxbh0sG98KwpFipyyGSFaPUBchVU3gUm1IiWQ1fndqAKK9gPNR3GooaKrGj7Jhb1rsoNxUz4tLcsi4iwH2BJT/X6tYywHHHKVEMjIjkg3+PRCSEDUeyAAARgTxdjaglBkcdyMsMlzQ8eiP9R8T4hOCZgdfj1m3/Q6ml2i3rZXhE7sLQiMTQ1kFkd8MkHpgSydecoHT+jRKpjH+G+BcKOpNRf/qEHKvd4fZ1E8kZg6NOkDI8csCJFw5+i0/GPIBnB96A+3d/AAecblk3wyMSG0+NJHfiQaW0ODE2EZHrYlNKZDGdhtqZjKfDKqvNLnElRPLCOY46ScoNdZXVjOcOfI0hwUm4NXmSW9fNA3sSizs/WwxAiYiIiKgjRsPpw2Obgx1HRC0xOOqCvMxwyQKkfZVZ+ChzFW5LnoRhwSluXTfDIxIaQyMiIiIiao8Up6kBgMnAjiOitvBUNRdIdera51lrkRqcjGcH3YBbtr6BSmud29bN09boTAwUiaizeJoauQPnOSKi7moOjjjHEVEr7DhykRTdRw448Y+D38Cg0+PunlPcum7gdFDAsEC7mt5/JX0OGHYSEWkLQ0oi6o66BgsAICbYX+JKiOSFHUfd5O7uo/LGWnx7aiNuS74Y7x1f6dauoybsPtIWuYRE/MwRKRMP5Mnd2HlEpGxSnaYGAMXVddh3qgCXDu2Nn9O4/yJqwo4jAbi78+iH3O1wwolpcWPcut6W5BImkLjk8D7PiEtjaERERF3CwJLawzEFdWRlWjrO75sIfy9PqUshkg0GRwJx56lrNbZ67Co/joFBCW5ZX3vkECqQeKR+fxkYEREREZG7bcvIhofRiN4xYVKXQiQbDI4E5q4Ayel0wu6UftI2Jc13Q50n9XvKwIhIHdj1QVLi549IeaQ8Ta2Jp+n0bC61DY0SV0IkHwyORCJ2eGR12hFg8hF1HV0hddBAwuF7SUREasHwiIi6KtDHCwBQZW6QuBIi+WBwJCIxu482lxzB4KBERHsFi7J8VzBwICKiJjxgJ7ngZ5GIuiLA+/TcRtX1DI6ImjA4cgMxwqN1RQdQZ2vA7KSJgi+7OxgekRD4OSIiIiExPCKizrpyeD+UVNfBbLFKXQqRbDA4chOhu48aHFa8dWw5roobhenx5wm2XCHwoJ+ISNt4kE5EcsVxqnzJYX6jv1yQivH9k/Hst79JXQqRrBilLkBrWoZHsSkl3VrWT3k70cM3Avf3uQq55jJsLzvW3fIEsyg3lRMcU7fwM9T24FbrrwkRkavmBKXj/co+UpdBRDLVLzYCf7/iAny+fg82Hj0pdTlEssLgSEJChEjvHvsZ8T5heGHwLNy9411k1RUJVV63NR30duVAlwfKROf+NtSVvyvSrpafJX5miBgeEVHbvD1MeOUvlyGjsBSvr9gkdTlEssPgSCaaQqSuBkgOOPH8ga8xf+Rf8Wrqrbhr+9uotNaJUaLLzjwIbnnw0pl2YR74uNeMuDS2cUuos689AyTqDH4+iM7G8IiUSOwrNmvdXy8dg8hAf1z/+pew2u1Sl0MkO5zjSGZc2SmY7Y24ZdlPMDk98fLQ2fDQyzsPXJSb2vzjzsdS58nlYFNr77WrfxNERETUMe4zqS2BPl6Yed4QfL5hN06WVEhdDpEsMTiSoa5MpN1037zaaty1cin6+MXhmqArNPGtRMsQiQMB4c2IS5NVgKR2WniOpB3s5iC54wTuRPIi5cTYsy44PQb7YqM8xr1EcsTgSMaaQ6E2gqS2bttbXIjv0g/i2t4DoIP2WloZIolDLgGSmt/X7j43Nb82RERiYXikLUreV2ptTO9OPp4m3HT+UCzefgCVdQ1Sl0MkWwyOFKS9EKmlZRlHEOcfgOFRsc2P0SJ2IwmP4ZG88bUhuWHXERHJBfeR1J7rzhsMHw8TPl2/W+pSiGSNwZHK7C7MQ25NNab16td8W1dOfVMrBkjCYHgkPCGfj9peGyIisbHrSP24b5Q/qU5T0+t0mD1+GH7cfRhFlbWS1ECkFAyOVMYJ4KfjR3B5Sh+Y9K3fXq2HRyQMOZy6ppYgUA3PgYhI6RgeqZca9rMcv4vH02RERKAfdmTkSF0KkewxOFKhZRlHEOzljfPjEs/6ndZ3PmoYQMiF1OERoOwASal1E3UFT1cjpWB4pD5q2M9qYdwu5aTYOt3p/zqcTslqIFIKBkcqdLS8FOnlpbi6V982f6+FndC5qGEgIRdy6D4ClPOect4tIiL5YnikfNzPUlfocDo5Ym5E1DEGRyq1MeckBodHtft7hkccUAiJ4dG5cRBLRKQMDI+USY37Wa2P1d1Br2sKjpgcEXXEKHUBJI682mrE+PlLXYasLcpNlUXgoRYz4tIkH7Q1rZ/vK5F8vF/ZhwfjpChzgtJ5mqWMST3WcAethEZSnqYGAF4epw+FG+12SesgUgJ2HKlUTaMFXkYTPA3tZ4Na2SmdixYGH1qkxm8eiYjIfRh2youWTkHj+Nx9ekeHAQCOF5ZJXAmR/DE4UqnEwGAU1NbAYred837cOTFkUDO5vLfsgCIiUh6GR/Igh/24u2hpXC51txEA9I2NQG2DBXnlVVKXQiR7DI5UqmdQCI5Xdi4919JO6ly0NDARg5xfP618U8mAiohIWAyPpKX2/XZLHI+7X5+YcKTnl3JybKJOYHCkUj2DQ3G8orzT9+fO6jStBAxaptb3mKERyRnniyElmxOUzgBJAmrbT5+L1sbhcug2AoC+seE4mlcsdRlEisDJsVUq0tcP+bXVUpehaO0NWNo6QO/u4EbpB/1KHdy1rFvs90AOk4cTEZHrOGm2+2hpf6m10EguvD1M6BEWjI/X7pK6FCJFYHCkUlUWCwI8PLv0mLzMcMSmlIhUkXqIMZg5c5lKD5KUyJ0hktCUVi8RkVIxPBIfQyN1k0u3Ue/oMOj1OqTn8diHqDMYHKlUeb0Zod4+XX5c0w6MAZK0lHBZeTUP7IQO8sR8reT8GSEiUiOGR0TK1ycmHFa7nVdUI+okBkcqVdbgWnDUhN1H8nCuwKFlYNDVYMLVsEHNYdG5dOW0xXPdX2gMjUhJ3q/sw3liSDUYHlF3abHbSE76xUbgRFE5rHa71KUQKQKDI5Uqr69HQkBgt5bB8EjeuhNOuHP+JjWT8rVhaESAsk+xJFI6hkfkKoZG0vI0GnDRwBT8uo9fZhB1FoMjlSqrN2NoZHS3l8PwSFsYEikDAwLi3yqRPDA8IlKeK0f0R7CvN77cuFfqUogUQy91ASSOsgYzwrpxqlpLeZnh/GaEiEgmGBoRyQtPwaSu0PKYWi4TY18zagDWHc5Edmml1KUQKQaDI5UqNZsR6OkFT4NwTWVa3tEREVH3sTOD1IrhkXDYVUti8jQa0C8uApuPnpK6FCJFYXCkUierKwAAPQKCBF0uu4+IiIiIzsbwiEj++sZFwGQw4EB2odSlECkKgyOVOllZCQBICgoWZfkMkIikw1OViIjkieERkbwNSYhGg9WGjIJSqUshUhQGRypV1mBGtaUByYHiBEdNGCAREbnXjLg0RZ/KwdPVSO0YHnWfkrdx1L6aXnapS8CkwT2x+0QubA6H1KUQKQqDIxXLqChD/7AIt6yL4RERkXvxwIpIvhgeEclPcmQIhiXFYun2Q1KXQqQ4DI5UbGdhHkZGx7ptfew+IiJyL6WGR+w6IiIid5s+eiDKa81YczBT6lKIFKdLwZFfpjwuoUidsyM/F1G+/kgICHTrehkgEYmP8xxRE6WfukakVuw6IpIPk8GAK0f0x4+7DsNql/6UOSKl6XLHkX+GAf4ZDJCUYFdhHhxOJ0ZHx0uyfoZHROJieERKxq4j0gKGR0TyMGlQCoJ9vbFk+0GpSyFSJJdPVWOAJH/VjRYcKSvGqOg4yWpg9xGRuBgekZIxPCItYHjkGnZSkpCmjxmE3Zm5yCqukLoUIkXq9hxHTQESgyR52lGQK2lw1IThEZF4GB5RWxblpvKzQSQTDI+IpBMXGogxvRKwiN1GRC4TfHJshkjysj0/Fz0CgxDl6yd1Kew+IhIRAwJqqeXnQe4BEruOiIi0Qarjw+mjB6La3IBV+45Jsn4iNRD1qmoMkKS3syAPAHBeTILElfyJ4RGROOQcDpD7tPc5kHOAxPCItIBdR0Tup9MBV48cgJ92H4HFxkmxiVwlanDUhAGSdMoazNhZkItr+/SXupRW2H1EJA65BgPkPh3NC9IUIMnts8LwiIiIhObtYUJ4gC/STuZLXQqRorklOGrC09ik8fWR/bggLhEJAYFSl3KWpgCJIRKRcOQWCJB8yS1EYnhEaseuI9IqqY7/vD1MAIB6i1WS9ROphVGqFTdtPGp6sWVQbCsyj+HZcRNxQ9/BeHXHRqnLaZer4VFsSonAlRAp36LcVF6RhrrkzPBIqs9PU3jEA2wiUqPYlBLNfWEqZdOAT1Nw1MjgiKg73Npx1BZ2IInPYrdhybHDuK7vQJj0kr/lgmPXElHb5NJFQu4nROgjdScSu49IrRiKErmPXqeTugQiVZBNisAASVxfH96PcB9fXJzYU+pSRMUAiag1hkfaJVTHEMMjIpIKO2eVT+rju6KqWgBAdHCApHUQKZ1sgqMmnAdJHMcqSrElLxtPjLkQAR6eUpcjOgZIRETqCI+IiIhc1WC1oaS6DrEhDI6IukN2wVFLDJCE9ci6lfD38MB/Jl4GrTRtMkAi4kG/1ik9PGLXEakNP9OkJXKYzzavvAqxIfK7SBCRksg6OGrCLiRh5NZU48E1v+CSxJ6YM3Sk1OW4FQMk0jqGR9qm9NM9eKBNRESuKq81I9TfR+oyiBRNEcFRSwyQumdt9gm8s2cbHhl1AXoHh0ldjtsxQCItY3hE3cX5jojI3ZQefJP0ooL8UVBRLXUZRIqmuOCoCQMk172+awsK62pxT6q2uo5aYnhEWsXwSLtmxKUJdrU1qTA8IiKiruoRFoxTpZWtbgs5Zmv+IaKOKTY4asIAqetsDgc+2LcTV/Xshzh/7Z7vy+4j0iqGR9qm9G/vGR4RkdLFppRIXYJmhPn7wtfLA9klFc23nRkWMUQi6pjig6MmDI+65tujB1FtacBdQ0ZIXYrkGB6RFjE80jahuo+kwvCIlIqfXdIiKSfI7hcXAQA4UVQO4OzQ6EwMj6g7Xn75ZYwcORL+/v6IiIjAtGnTkJ6e3uo+hYWFuPnmmxEVFQVfX18MGzYMixcvbnWf8vJyzJo1CwEBAQgKCsIdd9yB2tpadz6Vs6gmOALYfdQV9TYrFh7Yg+v7DkSYNyeLY3h0tqaOrM7+kPIsyk1lgKRxXQ2Q5BQ48QCclIafWdfJZbtDyjNpUApOllTgVGllp0MhhkfkqvXr12Pu3LnYtm0bVq1aBavVismTJ6Ourq75PrNnz0Z6ejp+/PFHHDhwANdeey1mzpyJtLQ/t3OzZs3CoUOHsGrVKixfvhwbNmzAnDlzpHhKzVQVHDVhgNQ5nx3aC7vTiVsHDZO6FFlg+HGaq0EQAyXlYnhETYHQuQ7O5HjgxgNxUgp+VulMPF1NfAa9DhcNSMGmdekMg8gtVq5ciVtvvRUDBgzAkCFD8MknnyA7Oxu7d+9uvs+WLVtw3333YdSoUUhOTsZTTz2FoKCg5vscOXIEK1euxIcffojRo0fj/PPPx1tvvYVvvvkG+fn5Uj01dQZHTZoCJIZIbauyNOCrw/sxe8BQ+Jk8pC5HFrQcdoj13BkoKQO7j6hJWyGSHEOjJjwgJ7njZ5RImtPVEsNDEOLng517Tnb5sQya6EzV1dWtfiwWS4ePqaqqAgCEhIQ03zZ27Fh8++23KC8vh8PhwDfffIOGhgZMmDABALB161YEBQVhxIg/p5S5+OKLodfrsX37dmGfVBcYJVuzmzWFR1KeY9uyjrZIUduH+3fhloGp+MuAoViwd4fb1y9XeZnhmvkmSKoQp631auU1l7NFuamyDgnIvZTyWXi/sg/mBKV3fEciIhlpGvdo5Qu1ml52t36h3zMqFABw4pRr48uQYzaU99bM4bIs+BzIg1HvKXUZrdgcpwOi+Pj4Vrc/++yzeO6559p9nMPhwAMPPIBx48Zh4MCBzbd/9913uP766xEaGgqj0QgfHx8sXboUPXv2BHB6DqSIiIhWyzIajQgJCUFhYaFAz6rrNPeXIJcAqS1S1FZUV4vvjh7AX1NHYfGxQygx13X8II3QQngkt4FKy3o6eu07W7va30MxNHUeKSU0IAIYHpE8sduIOkNrAZK7pESFoqyiDtU1DVKXQiqQk5ODgICA5n97ep474Jo7dy4OHjyITZs2tbr96aefRmVlJX7//XeEhYXhhx9+wMyZM7Fx40YMGjRIlNqFoLngqAkDpD/9e8cmTEnujWfGXoT7fl/ulnUqRdMOXI3hg9wHJ0LVd+Zy1PheioUBEikNwyMiUrKWYxS5j9Nc5c6uo55RoTiZXdqtZbDriJoEBAS0Co7OZd68ec2TWsfFxTXfnpmZibfffhsHDx7EgAEDAABDhgzBxo0b8c4772DBggWIiopCcXFxq+XZbDaUl5cjKipKuCfURaqe46gz5DwHkrtqq7I04MUt63Blz74YH5co+vqUSG3z8qjpuXSV2t5Ld+D8R6Qk7PAgIjWITSlR7Zdd7vpyvGdUKLJOdS84IuoKp9OJefPmYenSpVizZg2SkpJa/d5sNgMA9PrWMYzBYIDD4QAAnHfeeaisrGw1ofaaNWvgcDgwevRokZ9B+zQfHDWRe4AktqUZh7E59xT+Of5ieBmZqrdH6aGD0usXEl+LrmOA5Bp/YwRivPvDU+8ndSmawfCI5ICfQxJCU4CkthCpppe9+UcMfWPDkRQRgn2HckVZPlFb5s6diy+++AJfffUV/P39UVhYiMLCQtTX1wMA+vbti549e+Luu+/Gjh07kJmZif/85z9YtWoVpk2bBgDo168fpkyZgrvuugs7duzA5s2bMW/ePNxwww2IiYmR7LkxITiDXE9hc0ddT238HStn3oL7ho3Bv3ds6vgBGtaVuXjkgiFJ29R8OqJYeApbx3yNIegfOBm9/C9ApHev5ttrrCUobjiOXPN+5NSlocRyQsIq1a3poJ2nrhGRWqj1VLam4xshvyy/5cLhKCiqxOZtGYItk6gj8+fPB4DmK6Q1WbhwIW699VaYTCb8/PPPeOyxx3DllVeitrYWPXv2xKeffoqpU6c23//LL7/EvHnzMGnSJOj1ekyfPh1vvvmmO5/KWRgctUOMoEaIjaF/hkG08CirqgLv7tmOecPG4IeMI8ioKBNlPWoj9+BBTQMLMWlhMnShKTlA0kEPL0MAfIxB8DEEwfuP/+oAWJ0W2ByW5v/aHBbYnA2wOiywORthczQ0/86J023FBp0JEV49EeM9ALE+g5DoNxIOpw0narZhV/n3KLdkI9SzB8I8kxDl3Qfjwm+FMfJuFDdkYk/ZIqRXr4cDvPSvGDjvERGp0ZljFo73/hQZ5IdLh/bG/I/Wwe5wdnt5nOeIOsvp7Pjz1qtXLyxevPic9wkJCcFXX30lVFmC4F9AB+TYgSRmTfPTduCqXv3w4vhLcP2yb9D9Ta12yLELiYOIrmF45Bq5BEgeeh94G4JahEGB8DEEnxUO+RiD4G0IgE7X+mxtm6MRTjhg0nt1ep12pxVWhwVGnQeMeg9YHQ0oqD+KjUXv41DVb2h0mJvvW2o5gXSsBXA6aIrzGYLUkGswJfZRnB9xB9LKl+JA5c+wOHh1SyKl42lq5G6xKSWKH/cJNXH2rPNT0VBvxc+/HxCgKiICGBx1mlwDJKHraXTY8dSGVfj6qutxXd+B+O7oQUGXrxVShkhKHzRIjeGR68QOkDz0Pgj1TESYZxLCPBMR6BHdKhAy6j1a3d/htKPeXo16WyXM9kqYbRUos2TB3PzvStTbq/74b2WrkMeg84BJ7wmjzgtGvQdMOk8Y9V4w6jxg0nvBqPOEUe8Bo94LJp0n7E4rCuqPoKQhEw50vF22O604VbcLp+p2IdQzEcNCrsV54bdgdNgsHKxaibTypai2Fgn+GmoVu46ISAvUEB51l6+nB2aMGYSfVuxFfb1V6nKIVIPBURd1J0AS4/KTYoRHW/NzsDj9EJ4YcyGWZRyFxc7TJ7pDzBBJ64MDsTA86p6WE2h3N0SK9OqF1JBrEeM9AIEepy9B6nDaUdGYg4rGPBQ1HIPZXnU6HPojEGoKihrsNc2nknWV3dkIu70RQE236u+MMstJrCr4LzYXL8TQkKsxJPgKDA2+Gocqf8XG4g9hcdSKXoMWMDwiIi3Qenh07egB8PIwYsnyPYIul6erkdbx0+8iMeca6ioxall4YA+m9xmAAWHh2FNUIOiytay9HXlbIYWWd/qkHq6GSD18h2NE6Ewk+KaisjEPGTUbUdpwAqWWLJQ35sDuVN+3iGZ7BbaUfIIdpd9gUNBlOC98NpL9z8P6ovlIr14ndXmqwPCI3IGnqZHUtBoeGfQ6zLogFb+kpaOkjF+6EAmJwVE3yOn0NaFrSS8vgcVuw6DwKAZHbqDFnbvcsetIeB2FSDro0TvgQowInYkIrxQU1qdjee4LOF6z2eXOISWyORuQVrEUx2rW46LIuZga+wT6B16C1YVvodpaKHV5isfwiIhInaaPHoTYkED87eMfpS6FSHX0Hd+FOuKfYejwFLTO3EeoWoRgdThwpLQEg8OjBFkekRLlZYYz1BPJotzU5iDJqPPC0OBpuC3lE0yNfRxmWzm+P/Uwvj55HzJqNmoqNGqpzlaO5XkvYFnOMwjx7IHZye9jeMh10EP8fYnasSOExMLPFsmF1r78Oq93Ah67ZgK+27IfpevF+ZIl5Bin7yDtYseRgFqGNk2dP+4Ii9qro7vdR/tLCjE2NkGIkogUjd1H4kjwCUOY1+O4KnYUfI1eyKhZjx9zn0Op5YTUpcnKidptyDmxD2PDb8H5Ebejb+BE/F7wOooajkldmqKx84iISF5cPW7qHR2G/95yBbYdy8ZLS9cgUOC6iIjBkWikCIzaqqE74VFBbQ1CvLwFrIhIuRgeCcPP6IVJkUMwNWY4Bgb1QLXVjJUFe/DtqU0obKgAEAggVbQrsymV1VGP9UULcLRqNS6OfhA3Jr6JvRXLsLnkE1gd9R08WocQjzgEmKLQ6DCjwV6D8sYcAE53lC5rTd0hDJBICOw2IrnRwlxHkYF+ePfOacgurcRDn6+A3cF9G5EYGBypXHfCIw+DAY2Otq8EJ4d5nYjcrWnwxQCpa/TQYWRoL0yNGYELwvvDqDdge2k6nt7/JTaVHEaj4+zW76bT2BggtVbUkIGvsuYhNeQajA2/BT39z8eawrdxonZr8328DP6I8uqLaO9+iPbuh0jvPvAy+LVaTklDJraVfoHjNVvAAIndR0RESuTr6YF37pwGu8OJeR8tg9mi/AtnBB/n6XAkTwyONMDVU9dMBgNsDW3PLSKnq8oRuRu7jzqnh28ELosehinRwxDuFYis2iJ8mPkbfi1IQ1lj5y5zzwDpbE44sKd8MY7XbMLEqPtwdfzzaHTUo8ZaDL3OiGCPWACA2VaJwvqj2F32PQrrj6K8MRceei8EmKIwPHQ6rox7lgFSC+w+ou5gtxGRexn1evz3lisQHeyP2W99h5LqOresN+SYDeW9xTmEDjlmA2MjkisGRxrS1bDHt8oIq739+zM8Ii1jeHS2ME9/9A9IwIDABAwLSUH/wHhUNdbh98J9+LlgF45W57m87I6uyKZF1dYi/JDzFBJ8UhHmlQx/0+mOuK31R1FYfxRV7VyBrbwxByfrdiLWeyDGhP+FAdIZ2H1EXcHAyH1mxKW12heQtl06tDfG9umB29/9HplFZc23K3UCa6XWTdrB4EhjOhv2+GcY4DHAAKvt3PcVaiJuIiXS8qlrHnoj+vjHYkBQQnNYFOUdBAAoaqjEwcpsfHlyHTaXHIHVKez2gV1IrWWb05Bt7vprkVd/EIuzH2OA1AZ2H1FbgVDLzwMDIyJpRQb6ocrcgJ2ZuW5ft9BdRwyNSAkYHGlQR2FP0+9NBgOs9s5dBpvdR6RlWuk+ivMJxfjwgbggoj/6B8TDqDegwd6Io9X/3959h7dVnm0Av7XlIXnvkb333hsyWIGwaZkFCgTaQunHKLuFtFBmSym0FEghrJAQAmEkZIckZDmJ4yQe8d5TlrXX90ewiRM7lm1J5xzp/l2XL8fSGY/sSDrn1vO+pwzfV2fhmKEExwylqLM1B6QediH5RmcB0t66Vaix5sHlccLlccDlcUAuU0Ap00Il18DutsDkrO96BxLGACl0eBMEMSwiqZHaxNjGQR3PrdqRqHAtDGarnysiolYMjkJYRwHSmS/WKqX8vEPVOtve2dskCgXB2n00RJeG2YkjMDtxBPpHJsPmcmBvfS5eOfkFsg0lONVSBZfHu4DZn9iF1HtnB0iXpD/e5TotjnpUWo7jaNMGFJv2B6BKYTBACm4MhIikRy9wcOSrriN2G5FUMDiiTpN9tVIBexdD1bzZJkMkCiX+6D6K1+gwIDIFA3UpCFOo0WQ3odHegsa27y1odpjh7uXQIq1chbTwOKSHx2FczADMShiB5LBoNDvM2FV7HP/O/w4/1ufC6hbvVUvYhdR7rQFSnKYvwhXRkMuUUMiUUMhUcMMNp9sKp9sOrVKPZO0QZEaMw7LM51BhPoZdte+izHxY6IfgN5z/KLgwMJIeznPkPal1G3VXbGSY5DuOGBqRlDA4ok6dHqrW+9DnfC2nvgyVOFyOxKK33UcyyLA4ZRwWpYzHQF0KYtSnL6VuclphctoQrY6AWt7+5dvtccPgMLeFSk2On8OlJnsLbC4HtAo1wpRqhCs0CFOooVWoEa7UIFEThbTwOMRr9G3bq7EasKPmGLbVZiOrsVAUXUXdxRCpd+ptRehqIFqBcRd21QJ9IiZgWsLNuLrPC/iu4iUcM3wTkBqFwO6j4MDQiEi6lAo5JvZPx0e7hP2gojddRwyNSGoYHFGnVAoFHE7/nix6O465u9tjgERi0JMAaZAuFb8fejlGRffBnrqTWFO6G/nGSuS3VKLS0gjPT11FEUotolURiFFHIlp9+nvMWT9nhMef/lkVAaVcAbvbCYvTBovL3vZlddlRZW3E/oZ8lJnrUW6pR7m5Hk2OwFzWNlDO/oSaQZJvFZsOoNh0EPOT78XC1AcgkwHZTcEbHgHsPpIyhkbSxW4j7wR7t9G0wX2gD9fi28O57W4XIoxp3Wd3AiSGRiRFDI6oUyqlAmabeIeknA8DJBITbwIknTIMdwxciMvTp6LYVIN797+JQ42nOl3+dPeRFeUW7yYnVsjkkuwa8pfOTj68CZT8eeIi7UDLg81VfwcAXJjyAAAZspu+FrYkP2P3kfQwNKJgF+yhEQBcO300jpfXILeyTuhS2njTfcTAiKSMwRF1KlyjQkOLWegyeoUBEolJRwGSDDJcnDoRdw1aDLVciddzv8Lq0h98HvIwNPKO0J9mB0Nn1Oaqv8Pj8eDClPsxRD8XB+pXo8i0H+jlHFxixgCJiMQgFEKj/kmxmDW0H578dKPQpZyDwRAFMwZH1KlEfSSyCiuELsMnOP8RiUnrgd2CcWo8MPRyjIjKxNcVB/DPvA1osLcIXB2JiVTnadpS/Q+UmQ9jYtzVuCLzWdTbinGw4TMcN3wPl0eanazeYIAkbuw2omAWCqHR6MxkvHbbZSitb8LXB08IXQ5RSGFwRJ1K0Eeg2hA8J7EMj0gshsUlYPn4qbio/2CcrK/FVZ9/iMqILKHLIpFrDZGkEiDlGXcgz7gDaWEjMT7uKlyQ/DtMT7gVhxu/wOHGL2B1GYUu0W84/xGR7wndEUrCWjRmMP58/SLklFXjt+98AVsPr/xMRD3D4Ig6NHFAOjQqJWqCKDgCGB6RcEbEJWJen/6Yn9kf45NTUWxowiPbvsPqk9lweTwAfv6ksKdXY6PQsLpsnGTCIwAot2SjvCwb0eo0jI9dhklx16JvxCR8XPw7oUvzK1+HRzJ5IuSqMXDZxDc8QwrYbSRdDIy6FizdRh1dNCdSq8a9i6fjF7PG4auDx/HExxthZ2hEFHAMjugcc0f0x99vW4oT5TX4Mb9U6HJ8juERBUpCeATuGjsJF/UfgpRIHYx2G3aUFuM3m77EVwUnfwqMznXmASBDJOqI1LqPAKDJXo7NVX9Hg60EsxLvgAxyeBDcc2/5MjxShl0Btf5R2JoegNPymU+2GSoYGkkPwyLvBXNolB4bhZX3XYsIjQp//Xwr3t8hnfc8omDD4IjO8ZslM7AntwR3vvUZOjmvlTyGR+RPerUGvx47CbeOmgCH24XVJ7PxffEp7Kssg8PdvRNlhkh0PlLrPgKAJnsFlHI1IpVxMDqD//+0z+Y9kqkBAOqov8DtLIbbsb+3pRGJEkMj7wVDaNRRYBQXGY4haQm4cspIAMBlz7+H6qbzj4LgxNRE/sXgiNrRqpQYlBKP93dsDNrQqBWvuEa+plUqcevI8bhr3GSo5Aq8c/QA3szah2a7zSfbP/sAkUESAdIKj1TyMMRqMuH2uGB3W4QuJ6B6330kh8dVD7erAJro52GpvRAA37+6wm4jaWFoFFo6Co0A4NFl87FwzCAAwIvrt3cZGhGR/zE4onasDieqm4xIi9ELXUrAMECi3lLK5bhu6CjcN2EaYrVhWHX8CP5xYDdqLWa/7pdBErUSe3iUrB2KC1MeQLy2LwCgxHQINnfonQj0KjzyWAGZEnbD0whL+ArKsCvgtKz2bYFEAmJo1D1S7zbqLDSSy2SoamoGAORV1uHdrQcCWRYRdaJbwVFMvhNK1c9tgA2DmTsFo8KaRvRNjBW6jIDj8DXqLhmASwcOxe8nzUSGPgqf5+Xg5X0/oNRoEKQeDmsLbWIOj6LUyYjX9sWO6n+jzlaEGmue0CUJpqfhkcfdCJk8Cm7nCTit30AZcRuDoy6w20g6GBp1j5RDo44CozC1CrOG9sWcEf0xa1g/xESEoa7ZhKc+4cUAiMSiV8nP2WNJGSQFh8KaBkwckC50GYJg9xF5a35mf/xh8kwMi0/ExqJ83Pnt5zjZUCd0WW0YIoUmsYZHRS374PI44fDYUGTaJ3Q5gutReCT/qRNYFgaXdSPUUS8AsijAI0xQTeQrDI26J5hCI4VchmWTR2L54umI04XjZEUtPt19BNuOncLR0qqgnzaDSEp8mvScGSQxRJKuwpoGXDl1JBRyGVzu0HzFZoBEZ9MqlRiflIopKRmYm9kPYxKTsbeiFMvWrsLB6gqhyzuv1oNMBkgkFJvbhFLTIQzUzcDhxi+ELkcUuhMeyRR9oY58AA7zJ4DHCJd9L2QyORTqyXDZ+Il8R9htJA0MjULH2aHRuH6peGzZfAxOTcC6fcfwr+/2oqyBQTiRWPkt3WE3knSdqmmAWqlEaowepfWh/QLO4WuhRwagX1QM0nR6pOn06KuPwcSUNIxOSIZaoUCDxYwfK8vw0r6d2FZaJHS53cIAKTSIteso3/gD5iffC61CB6vLKHQ5ouBdeKSEJvpVeNw1sDc/CQDwuErhdpVDoZ7K4Igki6FR90mx26ijoWn9EmPwrzuWIa+yFte+vAo5ZdUCVEZE3RGwNIfdSNJRWN0AAOiXGBvywRHA7qNQEaFS4aohI3HLqPHoFxUDAHC53agyteBQTSXW5W3B3ooy5DXWQep9eAyQgp8Yw6MC4w9YkHwfBupmILvpG6HLEY3zh0dyqPVPQK4aAWv9MsDz84T7btteyNWTA1OkxLDbiIKRFEOjjqiVCjz/y4tQ1dSMO978DBa7s+uViEhwgiQ47EYSt5pmE8w2O/omxGD78UKhyxGNMz8xYYgUXBb1HYgX5i1GuEqNDQUn8cSOTSg0NKHKZITT7Ra6PL9hgESBZHY1oqBlD6Yn3IJ84w+wupqFLkk0WoOOdgGSLAbamNcgV8+AvfkJuB1H2q3jsu+FOmwpINMBHnZwkbSw26h7pBoaddRt9MAls9AvMRY3vPohQyMiCRFFYsMgSXwaTRZEhWuFLkO02IUUPC4dMAQvL7gYG4vy8cyuLag0hd4JGAOk4CK2TqMzba56DTf2ewsLku/DV+XPCl2O6LR2H8lVY6GJeQMyqGFtuBFu+65zlnXZ90AmU0ChngiXbYsA1YoTu40o2ARTaDR3RH/8YtY4PLtmM3IrxXNBESLqmlzoAjoSm+ts90WBZ7TYoAvTCF2G6OnyFOd8kXQsGzwcryy4GOvyjuPejetDMjQ6k1QPTum0q9IPiTo0AgCTswGbq17DYP0cDNHPFbocUfrCuhTauI/gcVXCUndxh6HRaQp4PC7IlAMCWh8RUVc6Oh6OjtDimWsX4vuj+fho12Gf7o/ni0T+J4nWHs6PFHgMjnqus/CI3UnikhKhw4o5C/FZ7jE8tPVbyc9b5CvsPhIHsQdAvZFr3I4Bhi2Yn3wfYtQZsLiaYHEaYHYZYHEZYHY2wepqhgfBO0y0MzHqDFye8WdUWPLxWcmTcHmiAESdMweSXDURmpjX4XEWwGn+rN193blaW7BhtxEFGyl+oNPZcfB9i2dAIZfhmdWbAlwREfmC5FIYhkiBYXe5EKFVC11GUDn7jZRBkrDuGT8FJrsdT+/azNCoA+UFCQyPAiyYw6Kzba76By5JfwyjYy6CVhEFhaz9+7nNZcKPdatwqPFzuDwOgaoMLBnkuDzjGZicDVhX+iRcHnvbfWcGIhelPoohUXNRbcnDurInYHImAkhst60zlw/VEInEi/MbeSeYQqORGUm4auooPP/FNjS0WAJcFRH5gqSTl9YQiQGSb8XpwjFpQDr+/vUPQpcS1BgkCSclQodrh47Cy/t2weQIjZPSnmB4FBihFBi1srmN+KzkobafNfIIhCmiEKaMRpgiCpkR4zAj8TaMjLkI31Y8j0rLcQGrDYy+kRMRrU7DB4XLYXO3dLpcSvgw5DRtxLeVfwO8iL07nHg7CLHbiEhYnYVG0RFavHjTJThWVo2PfTxEjYgCR5RzHHUX50PyrWunj4HT5caavdlClxJSOFdS4Nwzfgpa7Da8lx16J+zdVV6QIMlPPUlabG4TmhwVqLTk4FTLbmyt/ifeP3UXLM4mLMtYgZSw4UKX6HfDoy5EnbUQNda88y5ndNRAJlPAm9DoTMEcrATzY6PQJLX33c6OW5UKOZ7/5UXQqpW4/731QX2lWqJgFxTB0ZkYIPWOWqnANdNGY92+HDRbbEKXE9IYJPlHauTpbqO3Du+H2cluI29J7SBWSjhso2P19mJ8VvIIaqz5uCLjWUQoY8+7/J3RJzv8kgKNPBL9I6fhmOG7LpdtslcgXtO3R/sJxoAlGB8TUbD46y8uwoT+afjD/zaguqnzTsre4HkfUWAEXXDUigFSzyydOBxxunC8v4OdGGLDAMk37hk3BUa7DSvZbdRtDI8o0JweK74oewoAMD72yk6XO19AJIUAaYh+DuQyBU4YNne5bGHLj0jQ9keUKqVH+3qraUjQhC3B8jiIzhQs77WTB2Zg4ZhBeHTVt/gxv1Tocoiol4J+ciDOg+S9cI0KyxdPw1cHj6OkrknocqgTZ4ZHnBepe1Ijdbhm6Ci8uG8nu41IVFaXjQvJuY68YXO3IKtxHcbFXoF99R/B6jK2u9/bUOjO6JOiDRpGRC9CUcs+mF2NXS5b2LIPDrcVg3Qzsb/h0x7vs7tXX+vod+erQK4n2xbr35KITls4ZhBK65rw7eFcv+2DTQJEgRMyaQoDpK79at4kRGg1eOWrXUKXQl5qDZEYIHnnienzYLBZ8b/sLKFLkSxOmE1CONSwFpPirsVA3QxkN33Tdnt3gwsxhkeDdLOQHDYUa0oe8Wp5p8eKopZ96K+b1qvgCPDu6mvn+3354uptnW3/fGGS2P6G1D1XpR/iEN1OSLHbqLNu+EkD0rE7tyTA1RCRv4RcihJKAdL9l8yCVqXA69/s7nK+or4JMbhp7gSs3HoAVU3G8y5L4sMupK5d1H8wFvcfjHu++4LdRr3E8IgCzeIyoM5WiNSwEW3BkdiHn3lDKdNgdtKdKDDuRrHpgNfrVVtzMTHuWp/W0tswprshUk/2x8CISPxSY/RYNHYw+ifF4Z/f7RG6HCLykeBPTzpxZmtjsIZIi8YMQlpsFBaNGYwVn2/Ft1kdt4peMXkEHlo6F9VNRry9ZV+AqyRfYxfSuWK1YXhm1gXYUJCLDaf81zIdShge+R6Hq51fuTkbfSMmtv3c3aFWYjQp7hqEK2KwrfrNbq3XYC+DVhGJcEU0zK4m/xTXC10NPWMARBR8VAoF7r94Jq6bOQYutwffHc7F9pxCv+2Pw9SIAis4E5NuCtYuJF2YBiu3HUBytA5/u/FiTBmYgVc3nB6GplTIEalR4/eXzca8EQOwZm82nl+3DWYbOzGCBQOk05RyOV6afxEUMhme2LlJ6HKCCsMj32sdvsEA6VwVlhyMi728XVjSGkB4GyCJKbCIUiVjYtw1ONjwGQyOCq/Xi1QmYEr8DbC7LXB5pPP6LqbfPZEYSXGY2pkGpcTjxjnj8b/tB/H3r3fBYmewQxRMgisp6aVgCpBkMiBSo0FBdQNe+GI7lk0pxqNXzMPV00a3W67eaMZv/rsOW46dEqhS8rdQHsYmA/DXOYswPS0Tt274DHUWs9AlBR2GR/7B7qNzlZkOw+G2YnHqw/ii7Ek4PT8Pwfam+0hMwcUA3QxckPxbmJyN+LHuQ6/XSwkbjkvTn4DL48DHRffD5ubQcqJgIPXQCAByK2thtjlQY2hhaEQUhKSfkPhBMARIkRoN5HIZjD/NbbRmbzYOFJRhWHoiHC43nC43nC4XskurYTBbBa6WAiXUupAenjoHVwwejt9s+hK7yjlBo78wPPIPhkftmV2NWFv6R1yR8SyWZjyDdaVPwun5+f1LTMHQ2ZQyLTIjxiFJOxDJYUPRN3IS8o0/YFPlK3B4vHsPHqibiSWpD6PKehJflv0JFhEOUSPyFifI/pmUQ6MzP5x0utw4VFSOSQPS8e5W7+dsIyJpkG4yEgCxuU7Jhkf6cA0AtAVHAFBc14TiuiaBKiIxCYUupDvGTMSvx07Ckzu/x5cF0p4HRQoYHvkHh661V24+irUlj+LyzGdxecYz+Lz0iXbhkdgkaYdgcvx16BsxEUq5BiZnA+ptxfim/K843vx9t7azJPUhFBh/wDcVz8MNfppPFAykHBp1JFKjRiUvskMUlKSZigSQVLuPdGGng6OurqZGFOgQqbPLtnamJzUtGzwcf5w2F38/sBvvZfOEO1AYHvkPu49+Vm7JxtqSR3BFxnO4MnMF1pU9AatLXCcq8Zp+mJ5wMwbopqPeVoxdte+iwLi7W3MZtYpUJmBpxlOosebj28oXGBoRBYlgC43C1CqMyEjGuv3HhS6FiPxAWmmIgKR2FbYwtQoAYLFzsutQJZMB+jAtosO1iI4MQ3R4GKIjtIiOCDt92xk/R4VrEfPTd5vTieqmFpQ7jKgyGVHZYkSlyYiqlha0OOxQKxRQKxTQyBVQKRSot5iR39SAWrPpnBq6GxJ15OxtnC9IUssVuHnUODw0ZTY+On4EL+7b1ev9U/e0HggzQPI9dh/9rMKSg9UlD+HyjD/hmj4vYW3JozA6hf8/lxI2HBNir8RA3QwYHFX4uvyvONm8BR64e7Q9pUyLpRlPw+VxYn3Z03B5+J5OwSNUh6sFW2DUaly/VCgVcuzLLxW6FCLyA/EnICIkhS4khUwGAHC7e3awStKSFB2JQcnxGJAch0HJcRiYHI9+ibEI16jOWbbFakOTyYomkwVNZiuqmow4UV4Lg/n0z2qlAsnROiRF6TAkOh5zkvsiXh8BhVx+3hrK6g249Z+fosrLFmWNUoG+ibHonxSLAUmxSIyKhFalglatRJhKBbPdjqLaJhRU1eObrJOwO08HRq1BUtgYLfpFxaDBakGj1YIpqRl4aMospEbq8b9jWfjzD1u6+VskX2L3kf8wQDqt2noSHxffj2UZK3Bt31ewtvSPqLcVCVJLZvg4TEu4CanhI9BgK8WmqleQ07QRbvSui3NK/A2IUafjo6Lftl1JjoikKVgDo1bpsVFwuFwormsUuhQi8gPxJh8SIOYASfZTcOTyeASuhLorQqM+HdxERyIpKhJJ0TrE68LR0GJBWb3hp68mREeE4fLJI3DRuKGI04UDAMw2O/Kr6nGyohYbDp5ARWNzW0DUaLLAYLbC6ep+mKiQyxCvj0C4WgW70wW70wWHywWH040EfQT6J8XioaVz8bebLsYtr3/Sbh86rQb9k2LRLykW/RNPh0T9k+KQGqOHXH76/2mNoQWVjc2w2J2wOBxoMlsQqVHjwlEDccucCbh9wST8afX32FdQhtjIMNy+YDKunT4aamX7597GonzcumENCpoaevEXIF9heORfDJCAJns5Pir6La7IfA5XZDyL907dDofbEsAKZJgcdz2mJ9yECksOPi99HIUtPwLo/XtvuCIG42Ivx8GGNaizFfa+VCIKuGAPi4yDXG0f6KXE6NDYYgFPPYiCk/gSDwkSY4DUekLu4au36A1IisOdF0zGkNQEJEVHIlKrabvP7fagzmhCQ4sZsZHhSIyKbLduvdGE9QdysC+/DPlV9ahsavbLG7bL7UF1U0uH95lq7SiqbUSNoQUr770Wz//yItQ1m9AvKRYDkuKQoI9oeyzlDQacqmnAxiN5OFVdj1PVDSisaYTR2vlcXP2TYvHk1Rfgv/dcjZ3HCzG+fxpcbg/e3LgXG4/kQx+mQXREGMpijMiqqfL9g6de4dA1/wv1AMnsasT6sqdwU/9/Y2LsVdhd97+A7FevSsKcpLsxUDcdu2tXYk/dB/BFYNRqUvy1cHmcOFC/2mfbJBKbYB2uFuyBUas++misuPNCDElNQJhaia8OngjYvhsGK9tNJUJE/iWepCMIiClAkrd2HLkZHIlVUnQk7ls8HZdOGI7yBgO25pxCVZMR1YYWVDe1oNpgRG2zqV33jkapQGpsFNLjogCPB7tzS+AUyXDE7NJqPLtmM35/6WxUG1pwqroBn+05ilM1DThV3YCimgbYnN0ftnGqugG3vP4Jlk0eiV/MGoePdh3G25v3dTjxuw6KoL1KnNSx+8j/QjlAanZU47jhewyPXojdde/DlwHO2VTyMMxLugfDoi6A1WXEutIncKplj0/3EalMwOjoS7C3bhVs7o5DeyISn1AJjFq9f8nVyNBHtf386obAzi3J8IgocIRPOIJQbK5T8PCotetEq+KfWGzkMhmunzkWv1kyHRa7Ays+34LVe456NYTM5nShsKYBhTXiHIr12d5sfLY32+fb9Xi837Yuj+GRWDE8CoxQDZCOGzZidMzFSA8fhTLzEb/tZ1HKg8iMGI/t1W/haNPXcHqsPt/H1PhfwO4241DjWp9vm4h8K9TCojPd9d06PDvxAoztm4oPd2bBYPb962FXGB4RBQZTBT8RuvvoaEkVbA4nZg/rh6JaTlInJq/ccinmDO+Pj384jFc37ILJZhe6pKDD8Ei8GB4FTqgFSBWWHDTZyzE86kK/BUfjY6/EIP0sfFH2NAqM/vlkPUqVihHRi7Cj5j8Bnq+JiLojlAOjVsPiEjAqMxkbDp3A819sE6yO1vMtBkhE/nP+yyRRr8XmOgV5ETPZ7Nh5ogjzRw0M+L6pc9dMG415Iwfg/vfW47m1Wxga+VHrZI0kPuUFCTzgDqDVZePavoJdjmETBulnQyOP7HrhbkoLG4VZibdjX93HfguNgNPdRmZnIw43rvd6nUTtIMSp+/itJiL6Gd/DTrtpxDj8bd4SfHT8CB754JseXXzF1xoGKwUf9UEUrBgcBYgQAVJZvQGxkWEB3Sd1LjM+Gr+/dDY++eEINmcXCF1OSGB4JG488A68YA+RjjZugBxyjI65xKfbjVDG4uL0R1FuPopdte/4dNtny4gYixzDRrg83n2wEKaIwpWZK3BVnxcQroj2a21E/iCFrsjWsIjvW6fdMGw0npm1AG9l7cMfd2yCYaC4On1aA6Qzv4iodxgcBVggAyS704VwjRqKn66wRsJRyGV47obFqDOa8Lf124UuJ6QwPBI3HoQLJxhDJLOrEfnGXRisn+2zbcqhwMVpf4TH48GG8ufggf8+VZdBjghlLJod1V6vMz3hZgAyeODBhSkP+K02olDDsKhjywYPx59nX4h3jh7Ac3uEG57WXQyQiHqHzx6BBGIC7UOF5bh13kS8u/waPPT+1wCA2cP7IVKrRr3RjG+yTsJiF9cnBMHqV/MnYWRGEm7+xyew2B1ClxNyOOeRuLUelHPuI+F0FB5JoQugIwXG3RgaNR86ZSKMzppeb29m4u1IDhuGT4sfhNnV1PsCzyNanQa5TIEme4VXyytlWgyLugA/1n2IWtspXJ7xJ4yOvgRHmr70a51EwYoh0fnNz+yPF+YuxkfHj+DpXVva3Wcc5OKHdURBjMGRgPw9gfaOE0W45Z+f4C83LMGaB2+EWqUAPECzxYboCC0evGw2Pv/xGD7adRil9Qa/1EDA8PRE3LVwKt7evA+HiyuFLidkMTwSP06cLS7ediKJLWAqMu2Dy+PAAN10ZDV+3qttDdLNwoS4K7Gl6p+otOT0aBtn/h67+l0lak/PS1hjzfdq20Oj5kIl1+JE8xY0O6pwpPFLzEq8HQUtP8DkFOfVN4nEiqFR134zYRr2VpbhsR2bhC6FiAKMwZEI+DNAOlxUiatfeh93XDAF9UYTPt19BBa7EykxOlwzbTSunDoKv5w1HjtPFOLDXYex62QRPB6flxGSUmP0uH7mGCybMhJ5lXV447s9QpcU8hgeiR+7j6RHbN1KdrcZJaYsDNTN6FVwFKvOwMKU3+OEYUu3tnO+wK2rK90lagfAYK+Czd3S5X5i1OmYk3gXjhu+R7OjCgCws+a/GKibiZkJv8K3lS94XTNRqGNo1LUB0bEYm5SCu7/7Am6eLBCFHAZHIuKv4WstVjte/nJHu9sqG414dcMu/Ou7PVgybgiunzkWb9xxBQprGvDCum3YcaLI53UEK51WgzC1EgqFHAq5HKkxelw3YwzmjxwAk9WO1XuysXLrAVFcbYIYHkkFu4+k7ezwJNBB0gnDZixJewhRqlQYHN4N+zpTmCIal6Q/CaOzBpsqX/Z6PW+7tDrvQpLB5el6OLNSpsElaY/D6KzF95Wvtt1uc7dgV+07uDDlfhxt+goVPeySIgolDI28c9fYyag2tWBzcecXeOFwNaLgxeBIZPw9fO1sNqcLn+/Lwef7cjCmbwqWL5qGf95xBb7NysVf121FbbMpIHVIhT5Mg7sunIpBKfFIio5EUlQkwjXqc5Y7VV2PZ9dswZcHcjiPlAgxPJIGhkfBw99BUpQqFZkRY1FiyoLBUYE84w7Mc92NUdFLsLP27W5tK1KZgCsz/wKNIhyfFD8Ih8fa5Tq9mWD8zC4ks7MJ4cqYLtcZHXMJotVp+KDwnnPqO9b0LUZGL8aStEfwQeFyWF3NPa6NiAgA+uijccXg4Xh291bYXDx+IgpFDI5EKtABEnB6WNudb67BknFD8NDSOVj3fzfjuTWb8eXBEwGrQcxmDu2Lp6+5EFqVEnvySpBXWYeqJiOqm1tgttrhdLvhcLlhttlxvLyGQ/5EjuGRNHDoWnDyZZDUP3IaLk57FEq5BjaXCRsrX0KecQdyDJswInoRfqh9D254F+BHq1JxZZ+/wuPx4OOiB2BwdD0vna+uSre6bBwaHRGYnRQJrUIHq8vY6bKJ2kGotuaiwV5yzn0euPFV2Z9xQ7/XcXHao1hT8qhfrwRHJGXsNvLO9cNGo8lmxaqcI0KX0msNg5UBu8J1T4QfLRe6BKIOMTgSOSECpK8PncSuE0V46PK5ePb6xZDJZFh/4HjA9i82YWoV/nDZbFw9bTR2nijCkx9/hxp2YgUFhkfSwe6j4NadCaTP1hoa5TRtRL/IKbgk/XHkNm9DdtO3GB+7DAN105Fr3N7ldsIV0bim74uwukxYU/IwWpx1XtXrSzmG00HQKdMlSNV+2OlycZo+qLJ0/qGO0VmLr8qfxZWZf8HMxF9hR82/fV4rka/46/lEvjM6MRn7Kstgc4k3cPGWqEOjrDIvP+YgCjwGRxIR6ACp2WLDYx99C7vThT9dtxB2lwvfZuUGZN9iMq5fKp69bhHidBF45tNN+HTPUaFLIh9rHYvPAEn82H0UGrrbjWRyNiJKnYy08FEIU+rh8jjRP3IqBuvnAACi1Cld7lMGOWYn/RoKmQqrix+E2dXkVW2+VmltRLPDjCH6NLxzquMwTQY5YtUZyGn69rzbKjMfxvbqtzA3+W5UW/OQ27zVX2UTUZAbGZ+If2XtE7qMXhFzYAScDo2IxIzBkcQEMkDyeIA/rf4eaqUCf7lhCRxOFzZndz4hXjBRKxVYvng6bpkzAVnFFbjzrTUoqzcIXRb50ZmTOTJEEjcGSKGls7CmNUx5t+BWuHH6OTs8aiHmJt0ND9w4VLcWtbZC5DZv63IfSzP+hD4R47Gx8iWYXU2CdUDoVeHQq8JRYWlod/uZ8yBFqZKhlKtRbyvucnuHGtciKWwwFqY8gFprPhrtPDEhcWG3kfhl6qOg12hxrK7aq+XFNEG22MOiVgyNSAoYHElUoAIkt8eDJz7+DmqlAn+78WL89p0vgv6Ka0PTEvDc9YvRJyEar2zYife2HuBlR0MMu5CkgQFSaOvwhLOsFm8WvIa/jLkJI6KvwLPHPsXWmjHn3Y5KpsBvhk7Av/O/w8qiOgDCnciOiuoDADjSWNTh/avLxmFWwnAAQL296+AIADZVvoK08JGYGn8jvq5Y4ZM6iXqLgZF0jEpIBgAcrfUuOBKaVMIiIqmRC10A9U5srtPvL5AutwePfPANdpwoxMu3XIqpgzL9uj+hqBQK3LNoGlb99nq43G5c9/IqvLNlP0OjEKbLU7R9kXhxclM6U7W1CXfvewN76k/i2TG/xIoxN0GnDOt0eYfHhTxjBS5Km4gUbddXNPOnUdF9UGdrRqW1sdNlRkf3RZPdhPeK+ni1TafHhh/rPsQQ/RzEqoPz/ZukY3XZOIZGEjMqPgnlxmY0WC1Cl9IlKYZG7DYiqWBwFCT8HSA53W48uHID9uWX4rXbLsNdC6diSGrwnKyNzkzGJw/8ArcvmIS3v9+H61/9EHlV9UKXRSLCEEncygsSGCBRG6vbgcePfIDHDr+PMdF98bdxt0IrV3W6/ONHPoBKpsDdg5YEsMpzzUoYgYMNnQ8J18pVuCRtEr6uPADA+66NY03fweY2YZB+lk/qJOousQZG7Fjt2rS0TBysrhC6jC4xNCLyLw5VCzL+HMLmcLnwu3fX4+Er5uGm2eOxfNE0lDcYsPXYKWw9dgr7CkrhckurOydMrcR9i2fgF7PGIaesGte9vAq5lZ1fSYcIwDnhEYe0iQeHr9GZttQcRaW1EX+fcCf+POZGPJz1Hpye089XGWSIVkeg0d6CCksDNlQcwFWZ0yGHDG4E/r1sYuxA9I1MxAsn1nS6zOLU8YhQarG65Ie2286c/6gzbjjR4qhDmCLKdwUTeUGMYRF5L04bjjGJyViZ3b2rXQaSFAMjgKERSQ+DoyB15ouoL0Mkm9OFpz/dhGfXbMbE/umYN7I/5o8cgF/MGodqQws+23MUa/Zmo9rQ4rN9+svUQZl48uoLEK+PwItfbscHOw5JLvgiceioC4lhkrDO7D5iiBTaTjSX4ZHDK/HCuFvxxxFX48/HPsFFqRNxQ5/ZyIxIwMfFO/B63gbsa8jDbQMuwGB9Gk40+/6AXiGTw+Vxt/2skasQrY5Ai9MKALg6cwbyjZXIaizscH0ZZLg6Yya21xxDVQdD2boKkMwuA8IV0b18FETeY2gkfbMz+gIAtpV2/LokNKmGRkRSxOAoBPgjRHK63NiTV4I9eSVYsXYrhqcnYdmUEbh5zgT8+sIp2JZzCp/8cAQ/5BZDbFME6bQaPHjZbCybMhI/5pfizjc/QymvmEY+1tmQNgZKgccuJNrfkI+nj36EP42+ARNiByJGHYHtNcfwXVUWbuk3H0P16Xg6+yOYnFZMjh3k8+BoQdIYPDP6BlhcdhjsZoQr1dCrws9Z7i85n3W6jSlxg9E3MhF/Pd75MsDpk/WOwiOLqwlhSn33iyfqJgZGwUOn1sDucqHFYRe6lHNIOTRitxFJEYOjEOOvoWw5ZdXIKavGS1/uwMXjh+GaaaPwrzuXoazegC/256CwpgFVTS2oNhhRazDB6XZ3vVEfUirkGJySgLF9U/Cr+ZMQplbh6U834bO9R0UXbFFwY6AkHAZIoW1rzVGsyPkMS1LG45HD3+CYoQQAsK8+D38e/QusnHo/FDI5wpUan+/72j4zcaypBBurshCtjoDFZUetzYBGuwk6pRYeAC0OC/Y35He6jWsyZ+K4oRRHmoq63N+ZJ+6tIZLF2YxYdUZvHwrReTE0Ci4/VJRArVBgakoGtoqo60jKoRGRVDE4ClH+CpDMNgc+3X0En+4+gtGZybh62mj8cvY46MO0bcu43R7UGU2oNrSgqskIg8kKh8sFu/P0V+u/jRYbSuubUFTbiKomY7cDnv5JsZg9rB9mD+uHMX1ToFYq4XS5sS3nFFas3SKJ4XQUOjjcLXAYIIWuDRX7saFif7vbsg3FuGXPq7gmcyb6RiRiZeEWn+5zUGQKRkRl4uGs97CjNqdH2+gXkYQp8YPx9NEPu71u64n81HgDwjhUjfyIoVHwUMrl+PXYSbhn3BQAwICYWFEFR1LGbiOSKgZHIc5fcyEBwJGSKhwpqcLjHwMRGjWSoiORHK1DUtRP33/6OTlaB7VSAZVCDrVSCZVCDpVSAV2YBirF6ZNpm8OJkromlNQ1obi2EcU/fS+ta0J6XDTG909Fn/gYJEZF/vQVAX2YFha7A3vzSvHi+h3ILqnCyYpa2Jw8GSdpYJjkX5wHiVo1OUx4q+Bbv2x7afoU1FoN+KHuRI+3cXXmDNRaDdhcfbTH27C6x6LcYu3x+kQUOm4bNQH3T5yBHWVFOFlfh4+P9/y1x9fYbUQkDAZH1MafIZLJZsep6gacqm7weh2FXIaUGD36xEejT0IM+iSc/r5wzGCkxOigkMvbljVabDhVXY9qgwkF1cWoMbQgr7IO+wvKGBRRUOEV3fyDIRL5Q5hCjYUp4/BJyc52E2N3RAYZ+kUmIUoVjhJTLertRgBAjDoSi1PG491T37ddEa67dMowzEgYhn/lfd3hMDai3mK3UXBJiYxEs82K32/+Gg1WS7fW7WxIPrHbiKSNwRF1yF9D2brD5fagrN6AsnoDdp0sbnefSqFAelwUMuKiUNtswsmKWrg5WRGFIAZJvndmiAQwSKKeuyB5LLQKNdaX7+vw/iRtNGbED8P42AEYG9MPMerItvtsLgcUMjmUcgWsLjvWle/tcR0LksdADhm+q8pqd3tXV2Ij8gZDo+CSoYvCqaZGxIaF45ZR4/HSvl1Cl0REIsDgiM5LDAFSRxwuFwprGlBY430HE1EoYJDke+xGop66PH0KdtedQLW1qd3tw/TpuL7PbMxNGgWPx4NjhhKsK9uLg40FqLMZkREej2RtNJweF6wuB042l8PgMPe4jotSJmBvfS4a7R3P7dfZldiIusLQKHio5Qo8Nn0ubhg+Bkq5HLVmE9blHRe6LCISCXGlASRaYg2QiOj8GCT5FkMk8lZ6eByG6tNR2FKNv469GeNjBkCrUAEA5DI5ysx1ePnEOnxTeRAWV/tLXRebanxWR2Z4PEZEZ+Kxw++fdzmGR0Sh7eZR43D9sNH4697tWJ9/Ao1WK2wucc0nJOX5jThMjaSOKQB1iz/nQSIi/zszSGKI1Dsc0kbnU2M14J95GzBMn4FIpRb/K9qCRrsJAFBnM2BvXS7c8P8Q68UpE9DsMGNXXdedAxy6Rt5ip1FwiVSpcc+4Kfj0ZDb+fXh/1ysQUcjhmT/1GLuQiKSN3Ui+dXaQBDBMCmV2txMfFG0TtIYoVTguSZuEzdVHYHd7/0n9md1HMsjRL3Iy4jR9UWzajxprvr/KJYlgaBR8bh8zEeFKFV47sLtX2+HE2ETBi2f81GsMkIiCA7uRfI9hEglFDhmeGnU95DIZ3ju1udvrry4bh4tSJuDewbMQpU6Bw23FzMTbUG3Nw2fF/web2+SHqknMGBgFpxhtGH41egJWHstClanjedCIiHimTz7DAIkoeLAbyX86CpMABkrkOwqZHA8PvxITYgfi/oP/QY3N0K31U7QxuG/wJZiTNBLfVx1GteU51FrzkRkxHldkPosFKb/FhvLn/FQ9iQ0Do+B219jJkEGGNw71/MqNRBT8eIZPPscAiSj4MEjyP3YnkS8oZHL8efQvMT1+KJ7J/ggHGgq8XjcjPB6/HrgYsxNHoNlhxqOHV2JbzTEA4QBG4xeZOXC6bbC52G0UCkIhMOosyA8VSRGRuHnkWLyZtQ8NVkuvtsVhakTBTS50ARS8YnOdkr76ARF1TpenaPdF/lFekND2ReSNS9MmYWbCMDx8eCU2VR0+77IKmRxjovthUco4XJQ6Ea+MvwND9Gl46cTnuHLHX7Ct5himxQ/B74dejrmJo5BnugRKuQYHGz4L0KMhIawuGxcSoREB942fCovTif8c4YTYRL6wYsUKTJo0CTqdDomJibj88stx8uTJtvuLioogk8k6/Pr000/bbevdd9/F6NGjodVqkZiYiOXLlwf64bTDlhDyO3YgEQW/jsIjdiX51pnhETuRgodCJkeyNgYWlw1GhwUOT8+fN1q5Crf2vwAbq7Kwu+5Ep8vplGG4NG0yrsqcjiRtdNvtZeY6/OHQOxikS8NAXQomxw3G7QMuRLPDjItSJ+Dtgo0AgM/K+mF+Ii8tHYwYGIWODF0Urh06Ci/8uBNGu71X2+IHSF0zj01HeBZfN4Pdtm3bsHz5ckyaNAlOpxOPPvooFi5ciJycHERERCAjIwOVlZXt1nnrrbfwwgsvYMmSJW23vfTSS3jxxRfxwgsvYMqUKTCZTCgqKgrwo2mPZ/IUMAyQiEILwyT/YYgkbXpVOKbGDca0+KGYGj8EelV42302lwPNDjNyDKVYXboLBxtPeb3dpelTEa/Rw+52YkHSGJSYalBmqYfL44ZCJkeiNhpXpk/DRWkToZDJ8V3lIawr24v8lkq4PG64PG6MjxmAZ0bf0LbN/xZswvtFW/HO1N/g7kGnD2qdHndbwNB69TWSvlALjUK5k1OjUOCVBRehzmLGymO9ew4zNPIewyNpa25ubvezRqOBRqNpd9s333zT7ud3330XiYmJOHDgAGbPng2FQoHk5OR2y6xduxbXXHMNIiMjAQCNjY147LHHsH79eixYsKBtudGjR/vy4XQbz+Ap4BggEYWuzg4wGSj1HEMk8UvRxmCQLhWD9akYHzMAI6P7QCGT40RzGT4r/QFHGougkiuhU4UhUqlFrFqHKfGD8eqEO/C3459jXbl3k9YWmapxsKEA0+OH4dK0yR0u02hvwaqibVhbtgeN9nOvoHS4qRAVlgakhsXiwUP/xZ66XHjgwW8P/AcXJo9FhFKDZoe5bfnVZeMYHhFJzIo5CzEiPhHXfvExrE5OKxFIDI/Oz1lRBchUQpfRjtPjAABkZGS0u/3JJ5/EU089dd51DYbTF6eIjY3t8P4DBw4gKysLr7/+etttGzduhNvtRnl5OYYNGwaj0Yjp06fjxRdfPKeGQOKZOwmGARIRtWJ3km8wRBKWSqZA38gkDNKlYpAu5fT3yFREqrQAgAabEUcNxXjh+BrsrjuBOpux0219V3UIH0z/PbQK9Tn3KWRyZIYnoNRcB+cZQ9v21udib30ugNPD0TIjEpAWFgeZDHC63bC4bNjfkA+7u/MTRZfHjUezVuLNyctxbeYsnGqpRrW1CbU2A1YVb+twHXYfSR+7jULHtUNHYdngEbhv43ocrqnq1bbYbdQzDI+kqbS0FHq9vu3ns7uNzuZ2u/G73/0OM2bMwMiRIztc5u2338awYcMwffr0tttOnToFt9uN5557Dq+++iqioqLw2GOP4cILL8SRI0egVp97XBAIPGMnwTFAIqKOsDupd1pPjBgg+d8V6VOxNH0K+kUkQSlXwO1xo9RchzxjJfbUbUGesQJ5xgo0dNDh05mFyadP5JemT8bkuEGotxlRb2+GUqbEwpSxiNfoYXXZcbSpGK/lfolTLe1PAI1OC44ZSnDMUNLtx5PXUomHst7DIyOuwv+m3Y+/536F9eU/drnemeEDQyTpCLXQKJQlhEfgj9Pm4JMTR7G+4GTXK5wHQ6PeYXgkPXq9vl1w1JXly5cjOzsbO3fu7PB+i8WCVatW4fHHH293u9vthsPhwGuvvYaFCxcCAD788EMkJydjy5YtWLRoUc8fRC/wTJ1EIzbXyfCIiLrE7qTuYReSf13fZzbuHXwxvq86jM/L9iDPWIkCYyWsbkevtvtlxT7Y3A7EaXSIV+vRJyIB42P7Qy1XYWv1UeysO47+kUm4se88/HfKffjtgX/jcFORbx4UgH0Nebhx98u4b/AleHj4lZiXOAp/Pf4Zqq1NXq3PEInEKpS7jZ6esQA2lwvP7u64e9BbDI2Izu/ee+/Fl19+ie3btyM9Pb3DZVavXg2z2Yybbrqp3e0pKSkAgOHDh7fdlpCQgPj4eJSUdP/DIF/hWTqJSmv3EcAOJCLyHsMk77ALybfSwuJw96AleL9wK97I/9qn266wNOC9ws3tbpNBhgilBi1OKwDgx/pcfFqyC6+Mvx1/Gv1L3LrnVdTbOx/+1l0mpxV/yVmNLdVH8NDwK7Fy6v14KvvD816xrSNnd7QwSCKhhHJoNDu9Ly4aMBj3blwPg83a4+0wNCLqnMfjwX333Ye1a9di69at6NevX6fLvv3227jsssuQkND+dWnGjBkAgJMnT7aFTg0NDairq0OfPn38V3wXeGZOosUhbETUG2cf3DJI+hm7kHzjhr6zYbCb8PapjX7bx7zEUZgYNxADI1PQPzIZ4UoNKiwNyG4qRrahGOXmBjTaTRgfq0OfiESfBket9tbn4sbdL+OxEdfg+bE34595X+PD4u093l5HQ6MYJpG/hXJoBABLBgxGQWM9vuzFEDWGRkTnt3z5cqxatQrr1q2DTqdDVdXpYeRRUVEICwtrWy4/Px/bt2/Hhg0bztnG4MGDsXTpUvz2t7/FW2+9Bb1ej0ceeQRDhw7FvHnzAvZYzsYzchI9BkhE5AsMkjrGLqSec7pdiFJH4PL0qVhdsgtueHy6/QeHXo4rMqbhVEsV8o2V2FZzDHW2ZgzRp2FUVB/MSxoFlVwJi8uOJ4+uwsHGAp/u/0wmpxWPHv4f7hy4EPcOvhj9I5PwfM4aODy+eR6xK4nIv2al98HGop6/RjA0IuraG2+8AQCYO3duu9vfeecd3HLLLW0///e//0V6enrbHEZnW7lyJe6//35cfPHFkMvlmDNnDr755huoVMJdcU7m8Xi6PMppbm5GVFQUpi96BsqfrgxCJASGR0TkDwyRfsYAyXtyyHDf4EtwTZ+ZyDNW4OUT67yaZ0grV+GazJlodppxtKkYhS3V54ROAyKTsXLa/Xj5xDqsLv2hw+2o5UrEqnWotRng8rh98ZC8sjB5LB4efhVOGsvx6OH/obEbk373BEMk/wmVibFDvduojz4a2264Hb/6eg2+Lz7Vo22IITg6c0qLYHH2BNlOtw2bKt6EwWDo1kTMUteaN8zFUihlwoUjHXF6HNiKdSH3Nzkbz8JJUth9RET+wG6kn3EYm/fc8ODV3PX4ruoQHhh6Of456W5srMrCgYYCNNpb0GhvQbhCgyH6NPSLSEKzw4xKayPmJ43GEH0a5JBBKVfA5LQiq7EQL59Yh0prI9LC4nBr/wvQaG/B2rI9ne7f7naiytoYwEd82ndVWSgz12PF2Jvw1uTluHf/m15Pmt0TreEGAyTqiVAPjQBgTGIyAGB/VUWP1hdDaEREwuLZN0kSAyQi8qczD5IZIjFA6srx5jLc+ePruCh1Am7tvwALkkZDLpO33W9yWlHYUo1IZTpSwmJgdFpw9743UNRSjaFR6RgZ1QeXpU3Gf6bchyprI4bq02F22vBG3tcB7STqjpzmUtyx9x/4x8Rf47UJd2D5/n+hzub7+ZXOxACJuouh0Wkj45NQ0tzUo0mxGRr5x9mdRkRix7NukjQGSETkbwyR2IXkDQ88+KpiP76q2A85ZNCrwhGjjoTT40KZuR6eM4aiySFrG5qW1ViIrMZCrCvbi/uHXgalTIn/FW7F7roTsLkdQj0cr9TYDPjtgX/j9Ul34a9jb8GdP74ekKBrddk4hkc+EMzD1BgYtTcqIQnZtTXdXo+hke8xMCKp4tk2BQUGSEQUCK0H0aEaIAEMkbzhhgdNDhOaHKZO7z+b0WnBM9kf+7s0n6u0NuLRwyvx1uR7cUOf2fhf0daA7JfhUe8wNAotg2LjsTKbzxchMTAiqZN3vQiRdMTmOoNy4jwiEhddnqLtK5SVFyS0fVHoOtFcjlVF23DbgAvRJyIxYPsN5vDDn4L198bXoo5FqFSIDwtHkSHw86HRaQyNKBgwOKKgxACJiAKFIdJpDJFC239PbUKlpQGPDr8KcsgCtt9gDUHIe3zdOb8MXRQAoLTZ0K31Qv09zVcYGlGw4LgeCmocwkZEgcT5kE7jcLbQY3c7seLYavxz0l24OnMGPi7ZGbB9S23Ymrdhlz8eUzAFbQyLvJOpjwYAlHQzOKLeY2hEwYRn0xQSQilA6kmnVSj8XogCjfMhncYQKXQcNRRjdckPuHPgIuysPY5yS33A9i218MgbZ4Y8vnhsDI1CU4Y+CiaHHfVWs9frsNuo9xgaUbDh2SKFlGAMkHwxJK+zbQTT74lIKLo8RciHR60YIgW/N/O/wYyEYfjdkEvxh6x3A7pvqYRHV6Uf6naIc/by3j7OYAqLAAZGPdE3Kqbbw9So5xgYUbDiWSGFpGAIkAIxh9PZ+5Dy74tISOw+OtfZJ4AMkoKD1e3Afwo24slR16FvRCKKTN2/BHhvSCU86q1gC4S8wdCoZ4bExiOvMXDdf/4ihblLGRpRMOPk2BTSpDiJtpA1t+5bir83IjHgJNqd4+TawWNz9RHU2ZpxTeZMQfa/umxcSAYrwYqvC70zNDYBx+sDG+CGIoZGFOwYHBFBGgGSGGtkkETUMwyQzo8hkrQ5PS58VvIDFqeMR7QqQrA6xBwehUJXlC/wNaB30nV66DUa5NSzo9NfwrPKGBpRSOC4E6IziHUIm1RCma7qFNvvlUhoHMLWNc6LJE2fl+/Fzf3n4/L0qXi38HvB6giVoWvBhoGRb4xPSgUAHJd4cCTG42CGRRRqeBZH1AExBUhifLPsqe48FjH87okChQGSdxgiSUezw4xvKg9iWcY0fFC0FQ6PcP+3WzuPGCBRqLlxxFjsrShFtalF6FKCBgMjClUcqkZ0HhyCJZyzh8Hx70ChgMPXvMfhbOL3cfFOxGl0mJ88WuhSAIh76Br9jM9p3xgZn4RJKen479GDQpfSK2I5/uOQNAp1/EifyAtCdSCJ5c1SLHiVNwoF7D7qPnYiiVOJuRZ1tmakh8ULXUobdh9RqLh11HiUGQ3YWJQvdCmSxrCI6DSedRF1g5iGsFHHwRr/NhQsGCD1DEMk8VDLlYjX6FFpbRS6lHOIIUC6Kv0Qu6DOwm4j31DLFbhkwBC8sv8HuD2ebq0rps5XoT9AZWhE9DOeYRH1QCACJKHfLKWKYRIFG12eguFRDzFEEtbsxBEAgOymYoEr6ZwYAiQiXxuZkASNUokdZeJ97nVFyONgBkZE5+rW2VT40XIo5ZoulzOPTe9xQURScuabGsMJ8ers4IN/M5IKdh/1XkedDAyT/Ovy9Kk42FCAErP4f89nd/4EIkhitxH5y4TkVJgdDpxoEP9zT2wYGhF1zC9nTZ094RgoUTDzZYjEbqPAkOLvmWFXaGP3kW+dHSYxSPKdvhGJGBfTH08c+UDoUnqks1DHF4ESAyPyt0x9NAoNDXC63d1e1zjIJfhwNSkenxEFu4CegZwvwWWoRMGkpyES3yipK/78P8JQShrYfeQ/rUESA6TeW5g8Dga7Cdtqjgldik+dGfp0N0RiYESBEq5UweRwCF2G5LDbiKhzojlLOPuJyiCJgoU3VwJjYERiwCF90sLuI//h3Ei9Nz1hKHbXnYTTE7z/R70NkRgYUaCFKVWwSDQ4EuqYmKER0fmJ9mzgzCcvQyQKJgyJSGo44bh4sfvI/xgidV+8Ro9BulS8X7RV6FIChuGQb6QNqOWV1XwgTKWExSm94IjHyETiJYkjf4ZIRETi4k0nHQUOA6TA4JxI3pkcOwhujxs/1ucJXQpJDEMj3whXqtBotQhdhmSw24ioa5I70m99YjNAIiISD15hUBw4fC2wOjvJDfVASatQw+lxo9lhFroUopDkdLuhVaiELqNbOESNSNwke3TPAImISJwYIgmL3UfC6yhQCqUwqcVphVquhE4ZBqOTXQ9EgZZTX4tF/QYKXYbXOESNSPzkQhfQW+FZZUyKiYhEKjbX2fZFgaXLUwh+SWX6WXlBQruvYLavIQ9OtwuLU8YLXQpJSLA/LwLpaG0VMvXRiNJohS6lS0IeH/Acksh7QfNRMDuQiIjEjZ1IwmAHkjgFc1dSo70F22qOYVnGNKwr3wu7m8ExUSAdra0GAIxKSMLOsmKBq+kcP1Qiko6gO3JngEREJH6cXDvwGCCJXzBNvv1e4fd4c/JyPDbiWjx5dBU88AhdElE7vX1+iblDyuSwAwAiVWqBKxEvdhsRdU/QHqkzQCIikg52IwUOAyTpaD0xlWKAVNBShaePfojnxtyICssi/Cv/G6FLohDn6+fR2dsTU5A0JeX0+c+BqnKBK+kcu42IpCXoj87Ds8oYHhERSQhDpMBggCQdUg2QdtTm4B+5X+E3Qy6FThWGl06sg8vjFrosEqm0AbU+DV8C/Xzxdf29MSg2HlUmI2ot4ryyodChEbuNiLovJI7I2X1ERCRNDJH8jwGSdEgxQPq4ZCdanFb837BlSNbG4PEjH8DssgldFgUhMTwvWmsQOkBSyGSwu/iaTkS+I/mrqnUHr8BGRCRdvEKbf7VehY1XYhM/qV2Z7auK/fj9of9iZFQfvDHpbiRqooQuiYJE2oDati8xEbqeDF0UmqxWQWvoDN/DiaQpJD++ZQcSEZG0sRPJv9iFJA3lBQmCn6B6a39DPu7a90+8MO4W/HvKvfi/Q+/ipFG886+QMKTy/9kbgR66FqXRYkR8IgZEx+KCvgPxj4O7A7ZvKWETAVHPhPTRNgMkIiLp4xXa/OfM7iOGSOIkpeFrhaZq3PHj6/jr2Jvx+qS78NTRVdhZe1zosoj8IpCh0XXDRuHx6fMQoVLD7nIhp74Gn548FrD9e0vobiOGRkQ9x6NrMEAiIgom7EbyD4ZI5AuN9hbct/8tPDHyWqwYcxNeO/klPi3dJXRZRD4VqNAoRhuGv81bjAV9BuDD40fwVtY+lDQ3weXxBGT/3SF0aEREvcMj6jOcmUIzRCIikj52I/kHQyTqDZvbgceOfIB7Bi3B74ZeBpfHjTVlHFZDwSFQodGI+ES8uWgpwpQq/OrrNfi++FRA9itV7DYi6h0eQXeCXUhERMGHQZLvMUQSBynNdwQAHnjwet4GqOVK3Dv4YhxsLECRqUbosoh6LJBD064aMgLPzroQJxrqcPd3H6GixRiwffcEu42IpI9HzF1ggEREFLw4rM23zr4iG4Mk6so/877GhNiBeGLkdbjzx9fh9PD/DElPIEIjvVqDCclpuGvsJExJzcCHx4/gqZ3fw+YS93NGDKERu42Ieo9HyV7iMDYiouDGbiTfYzdSYEmt6wg4PWztmeyP8O/J9+JXAy7Am/nfCl0SUbe0hkYahQJ6tQY6tQZ6jQZ6tfan7xroNdqfvp95/+l/uz0eWJ1OWJwOWH76bnU6YXU64PR40FcfjcGx8UiJ1AEAsmoqcduGNdhc4p+haWd/AEBEBDA46hGGSEREwY/dSL7FECkwpBge5Ror8J+C73DnwEXYU3cSh5uKhC6JqFMqmQLjYgdgRFQmMuV9MXxqIhLCIqBRdvw+4XK7YbTb0Gy3odl2+rvRbsOppkYY7TbIZDKEKZXQKpUIU6qgU6uREB4BrUIJtUKB0mYD1uQeQ25jPU7W1+JEQ12AH3HPsduIKHjwSLiXGCIREQU/diP5FkMk/2rtgJBSgPRB0TZMix+Kx0dei7v2vYE6W7PQJYU0tVyJibEDcbSpGEanRehyBKdThmFa/FDMShyOqXFDEK7UoN5ixrG6GnyZfxKVJuNPoZC1LRxq/dnkcAhdPhFRr/HI14cYIhERhQZ2I/kOQyT/kVL3kRse/Cn7Y7w5eTk+mvEHfFi0HauKt8HisgtdWkhRy5W4LG0ybuw3D/EaPZodZrx7ajNWl+6Cy+MWuryAkkGGeUmjcEX6VIyO7gulXIEcQyn+V7QFaw5W4aSEOn+85cthamLoNiIi3+HRrp9wUm0iotDAEMl3OLm270kpPKq0NuL6H/6GG/vOxS/6zsFl6ZPxn4KN+Kp8H9zwCF1eUFPLlbg0bRJu7DsPsRodvqs8hLVle7AkZTyWD74Ik+IG4fEj74dEkCeHDPOTR+OWfgvQLzIJBxry8fLJddhZexx1tuaAXj2NeofD1Ih8h0e4fsYAiYgodDBE8i12I/mGlIaumZxW/Cv/G6wt24NfD1yEh4dfiaszpmNz9VFUWhtQaWlEpaUR9bZmhkk+oJIpcOlPHUZxPwVG7xVuRqn5dDfNMUMJttQcxV/G3IwXx92G3x38D+zu4OwkUcjkWJA0Gjf3W4C+kYnYXXcCK3JW45ihpG0ZhkbeYbcRUfCReTyeLt91m5ubERUVhQtSfw2lXBOIuoIaQyQiotDCEMm3GCL1jhQCpFZD9Wm4fcBCDNGlIVaja7vd4XaiytqEKksjKiwNKGipxNcVB2F22QSsVjpi1JG4MHksruszC/EaPTZWZuG9wu9RYu54+NVwfQb+PvFO7K47icePfABPkIV2AyNT8PjIazFQl4JdtcfxzqlNON7cvlsl2EOjYBumJtVuI6fbhk0Vb8JgMECv1wtdTsC05g1zsRRKmUroctpxehzYinUh9zc5G49kBcC5kIiIQgs7kXyr9QSHAVLPSKkD6URzOR489A4AQCtXITksBilhMUjRxp7+HhaLIfo0XJQ6AbcPWIg1pbvxackuNDlMAlcuTgMjU3DHwIWYFj8UHo8Hm6uP4J1T36PEfP7/CznNpXjl5Bd4ePhVGBfTHwcbCwJUsX/JIcMNfefg9gEXoshUg1/t/TtONEszcBALMYRGROR7PHoVGEMkIqLQ0npQzQCp9ziUrXekFCABgNXtQJGpBkWmmnPui9focW3mLFyTORPX95mNL8v34b+nNjFAOssbk+5GuPL06IHvqw9DLVdiXtIofFC0DU7P+Z9DQ/XpaLAZkW0oDkSpfpcaFovHRlyDUdF98EHRNrxdsBGOTn4H7DbyjlhCI6l2GxGJGY9aRYTzIRERhQ52IfkWu5B67syTYqmESGerszXj9byvsLJwM5ZlTMO1mTMxKW4Q7j/4NqqsjUKXJxq37HkFMxKGY2RUJvpGJKLJYcJt/S/A7MQR+N2B/8DotHS4XpI2GktSJuCdU5vazXGkkMmRGhYLhUyOMnN9l+GTWFycOhG/G3IZmhwm3Lv/TRxuKhK6JCIiUeORqgixC4mIKLQwRPIddiH1jtRDJKPTgvcKN2NjVRZeHv8rvDn5Hjxw8G0UtFR1uo5eFY4kbTRMTiuMDgtMTmvQTrxdbmnAJyU78QlOX27+krRJGKxLQ2pYLPSqsA6Do2hVBP427lY02I1YW7an7fYpcYPx59G/bOtgcrpdyG+pxMNZK1FrMwTqIXWLQibH/UMuwxUZ07C+fB9eO/kFzCFwpbjzYbcREXmDR6cixxCJiCi0METyHXYh9Y6UQ6QKSwPu2vcGXhx3G16feBceynq3w66S4foMPD/uFsSoI9vdXmdrxvryH7G2dA/q7cYAVe1/UapwXJA8BmOi+2NEVAaSw2LwVfl+/DNvQ4fD+obq0/Ds6JugUSixfP+baHFaAQAp2hg8PeoGHDeUYkvNUShlCsRrdFicOgG/H7oUDx9eGeiH1qUoVTj+PPqXGBXdByuOrcaXFfu8Wi+Yh6kxNCIib/GIVELOfjFkkEREFNwYIvmGLk/B8KiXpBgiNdpbcO/+N/GXsTfh5fG345nsj7GtJrvtimDT44fiT6N/gZPN5Xgo6z1oFSrolGGIVIZhsC4V12bOwi/7zsWmqsP4uGQn8owVAj+inhsX0x9XZ87A9PihkEGGbEMxttQcxdbq7LY5i27uNx/XZM7Ed1WHoJIpoFWoMT9pNPJbKvHHw++36yJ6cNgVsLudGBvbHxPiBrbdfsxQglmJI9AvIgmFpuqAP87O9ItIwl/H3oxwpQa/OfBvHOHQtKDD0IjIv3gUKmHsRiIiCh0MkXqH3Ue+I6UQyeyy4cFD7+CJkdfh2TG/RLPDjDJzPVqcFkyIHYgdNcfwdPZH7ebtafVWwbe4JG0Srs6YgSWpE3CwoQCHGk+hb0Qi+kcmIz08DgaHGZWWRmQbivF52R6UmesFeJSdGxvTD7/qfyHGxw5AnrEC/8j9ChursmBwmM9ZdrAuFdHqCFyTORNFLTVocVqwpmw33sz7pm3S6HCFBjf1m4ep8UOwoeIALkqdgIez3sPsxBG4IHksRkRlwu1xY1r8ENEERzMThuHJkdej3FKP+w68hWprk9frstuoa2LpNiIi/5J5PJ4uB3E3NzcjKioKF6T+Gkq5JhB1US8wRCIiCg0MkHqOAZLviTlEkkGGsTH9MCa6HxK1UYhWRSC/pRLvnvq+y/mMFDI5ZiWMwDWZM9AnIhGFpmqcaqlCqakOelU4UsNiMTV+CKLVEdhbl4vPSn/ArrrjAXpkHRsT3Q+3DzgdGJ1sLsd/T23Eztqua7oodSIeGLoUVZZGPHfsU+Q0lwIAwhVqXJUxA9f1mQWtQo0Pi7fjhKEMT4++ARqFClaXHcWmGgzRp8PmcuDlk19gffmP/n6YXfpl37n49cBF2FGTgz8d+xiWbs5nFKzBka9CI0AcwVEwdRs53TZsqngTBoMBer1e6HICpjVvmIulUMpUQpfTjtPjwFasC7m/ydkYHAU5hkhERKGBIVL3MTzyHzGHSP6glisxP2k0lmVMw4ioTBxtKsZrJ9e3BS+BrOMPw67ARakTkdtcjrdPbcLO2pxubaNvRCKeHHkdBuvT8E3FQRSZqnFdn9kIV2qwvuxHHG8uw4395iI1LBYnmsuxo/YYsptK8NqEO/Bh8Xa8c+p72NwO/zxAL6nlSjw8/EosShmPd05twtsFm9qGKHqLoVHXGBr5HoMjBkdixeAoxDBIIiIKfgyRuocBkv+EWoAEAONjBuA3Qy7BIF0qvqs8hH/lf9Ot4VE9Fa/R4bkxN2FgZAr+dnwtNlQe6PG25D9dce3OgYsQqdTiy/J9WFm4BRckj8HywRefs/y2mmwMiEzGDT+8CJfH3ZuH0WvxGh1WjLkZAyKT8eyxT/B99ZEebScYgyNfhkaA8MFRsIVGAIMjBkfixSPLEMN5kYiIgh/nQ+oezn/kP1KaD8lXDjYW4LY9r+Gi1Im4c+AifDj9QXxUvAMbq7L8Nu/PcH0GVoy9CW6PB/fsfwMnmst7tT03PPii/Ed8V3kIaoUKzT/NiRSj1uFwYyFMTissLgcWJI8GAAzVpSFWo8O9gy7Ge4WbO7xCWyAM1afjL2NuggfA3fvewEljz34PDI3ELxhDIyIxY8cRAWCIREQUChgidY3hkf+FSoAEnJ4b6Jd95+HaPjOhVahRZ2vGvvo87GvIw4GGfNTZjL3ex+KU8fi/YcuQa6zAo4dXosHe4oPKvaOSKTAzYTjyjZWYlzQKv+g7FzIZ8HbBRnxasqvL+aN86YLkMXh0+NXIN1bikcMrUW/v2e82GEMjILi6jYI5NGLHETuOxIrBEbXDAImIKPgxQOoaAyT/C6UASS1XYkx0P0yKG4hJsYMwWJ8GANhcfQQvHv+8Rx06Cpkcdw9aguv7zMb68n148fjatqufCUWvCsev+l+AZRnTUGKqg8FhgtPjQo3VgPyWSnxSvLPXYZIcMsRqdEjSRrd9DYhMxpLUCfi64gCeP76mw6vkeYOhkfeECo6COTQCGBwxOBIvBkfUKYZIRETBjyHS+TFA8r9QCpBaRasiMCtxBO4auBgeePB8zhpsrz3m9fqDIlPwmyGXYnR0X/w990usLv3Bj9V23+jovrg0bRJkkEEtVyJBG4WRUZn4V/43+KBoW6frJWtjcHHqRIyL7Y8ycz0MdhMUcjni1D8HRfEaPZTyn4MQs9OGamsT1pfvw8clO3pcM0Mj7zE08h8GRwyOxIpHi9QpzodERBT8Wk8AGCB1jPMf+V/rCXsoBUhNDhPWl/+IXbU5+MOwZVgx9iacaC5DqbkOZeY67K3LRbah5JwrgWWGx+PmfguwMGUsSs11uP/g2zjYWCDQo+jckaYiHGkqanfbPYOW4PYBC7G77iROtVR1uN7fJ96JKFU49jfkY5AuBRFKLTweD+rtRlRZG3G4qRDVVgOqrU2osTah2tqEFqc1AI9ImoJtXiMiEg6PEskrDJGIiIIbJ9Q+PwZI/heKAVKDvQWPHF6JBUmjMTluMFLDYjExdiBu7X8B6m1G7KjNwc7aY0jRxmJxyniMiM5Evc2Ivx3/HF9W7BP8Cmbd8Z+CjZgaNwSPDL8Kd/74+jmhGACEKdTYU5eLp7M/bHts0aoIv0+2HYzdRv4KjdhtRBSaeGRI3db6ws0AiYgoOLELqXNnnowxRPKPUAyQvq8+0nbZeDlkGBGVidmJIzEncQQuT58Cp9uFPfUn8djh97Gr7niP5/ARkt3txEsn1+H1iXfhguQx2FiVhdkJI3Btn5nIMZTh28qD+FfeN/jDsCvw/Nhb8NTRD/G7IZdhcep4fF62By8cX+vzmoIxMAKCr9OIoRGR8DjHEfUaAyQiouDHEKlzDJD8L5RCpLNlhieg2WEW7BL3vrZizE0Ypk9Hg70FQ/RpONJUhIzweMSoI/G342tRaq7DX8feDLfHA4VMjh/rczErcQTmbnrUp5N/MzTqPnYb+R/nOOIcR2IlF7oAkr7wrLKQekEnIgpFsblOQS+/LGa6PEXbF/lHeUFC0J7od6XEXBs0oREAvJG3ARqFCnW2Ztx/8G3cve8NLN3+LD4p3okHh12BZG0MHs5aiTxjBe7Z/y98VrobABCv8d0JW7D+X2JoRET+wo8PyWc4DxIRUfDjMLbz41A2/wrFYWzBpsRchyVbn253m8vjxqu566GUK/DQ8GX4w6F3cc/+fwEA+kQkAgAStVGotDb2at/BGhgBDI2IyL941Ed+wXmQiIiCGyfT7trZJ3IMknxHSgFSR2GFFOoWwksn1iElLAaPjLgKN+1+GQaHGc0OMwAgUhnWq20zNCIi6jke6ZFfMUAiIgp+7ELyDruRfO/MMEDoMKY7wcTZywpdu1h44MGKY6uxctr9eHDYFXj8yAdonY5VJe9ZOBLMgRHg/9CI3UZEBDA4ogBhgEREFPwYIHmPIZLvBTJE8nUYIaYATGj1diPeyv8W/zd8GVbpt2Fp+hQ43E7kGiu6vS2GRr3D0IiIWvHIjgKKARIRUfBjgNQ9DJF8z5fDwwIdPjBEAnbVHUejvQX/mXIfbC4HXj25HhWWBq/XD/bACGBoRESBxSM6EgQDJCKi4McAqftaTwYZIPmeFMOEUB3SVmdrxrIdKzAhdgAKW2pQ5eWk2FL8G3dXIOYzYmhERGfjkRwJigESEVHwY4DUfexCoo6EUpBkdzuxu+6kV8uGQmAEMDQiIuHwCI5EgQESEVHw45XYeoZdSNSZUL9iGwMj32JoRESd4VEbiUp4VhnDIyKiEMAupO5jgETe6CxMCZZAKVTCIiBwgRHA0IiIzo9HayQ67D4iIgodDJC6jwES9YQ3gYuYwyUGRv7D0IiIusKjNBItdh8REYUOBkjdxwCJfK01nBFLgMSwyP8YGhGRN3h0RqLG7iMiotDCAKn7GCCRrwkdIDEwCgyGRkTkLbnQBRB5g28wREShJTbXKdhJjVTp8hSCnoRS8Al0gFNekBAyoZHQz1e+vhJRd/DjPJIMDl0jIgo97EDqPnYghZ6hsfEYn5SKEw11OFhd4dNtB6L7KFTCIkDYDqNWQoZG/DCYSJp4FEaSwqFrREShiQFS9zFACh3/uPBSDIyJAwB8fPwont29Fc12m0/3UV6Q4PPwiIFR4DE0IqKe4NEXSRK7j4iIQhMDpO5jgBTc0iL1yNBH4eldm2F1OvHI1DnQqTW4Z+MXPt+Xr8IjBkbCYGhERD3Foy6SLHYfERGFLgZI3ccAKfiMiE/Eh5deizqzGRuLClBmNCA5Qocbho/22z57Ex5JNTDK1EehtNkATzfWYWD0M4ZGRNLHybFJ8vhmREQUujiJdveJ6YSWeufXYyah1tyCJZ++hzKjAQCQXVeFhPAIJEdE+m2/3Q2ApDzp9S0jx2H7DXfgu2tuxbzM/l6tI6bnmNCvjzxOJwoODI4oKPBNiYgotLUGSEKfJEmF0Fd0It+IVGuQ39TQbj6j4/Wnu4HSdVF+3bc3YZCUAyMAWNJ/MJ6YMR8fHz+KKrMR/158OZb0H9zp8mJ7Xgn9esjjc6Lgwf5uChocukZERACHsXUHh69Jn1rRPqgIU6oAAHKZLCD7l3Iw1JkwpQq3jR6P34yfhi/yj+Phbd9CJpPh5fkX4bUFF+MetwsbiwralhdTWNSKoRER+RI7jijo8I2KiIgADmPrjtZOCTGeAFPHtEolpqSmY19lebvb+0XFAABKmw1ClBUU/jZvMf4weRaO1dXg31n74QHg9njwwOYN+LYoH69feBnm/zRsTYzPGaEnweaxOIWqFStWYNKkSdDpdEhMTMTll1+OkydPtt1fVFQEmUzW4denn34KADh8+DCuv/56ZGRkICwsDMOGDcOrr74q1ENqw+CIghLfsIiIqBWHsXUPAyRpSI3QIUKlRq3Z1O72I7VVcLrdWNRvoECVSd/7x7JgtNswPjkVa5bdgMTwCACAy+PB777/CpuLC/DGostwV/JEJOgjBK62PaFDI6JQtm3bNixfvhx79uzBxo0b4XA4sHDhQphMp1+nMzIyUFlZ2e7r6aefRmRkJJYsWQIAOHDgABITE/H+++/j2LFj+OMf/4hHHnkE//jHP4R8aJB5PJ4uLxDQ3NyMqKgoXJD6ayjlmkDUReQTHLZGRETnw+FsXeMwNvF6c9FSjE1MwbwP34bZ6Wi7/dOl18HscODmDZ8JWJ20xYeFIzVSj1WXXoM3s37E3w/uabtPJZfjxfGLcdG4oVAq5PjucB7+7/2v4HJ357prvidUaMTAyHecbhs2VbwJg8EAvV4vdDkB05o3zMVSKGUqoctpx+lxYCvW9ehvUltbi8TERGzbtg2zZ8/ucJlx48Zh/PjxePvttzvdzvLly3H8+HFs3ry5W/v3pW4dLVkrSqFNzfBXLUQ+pz5YAPOoNKHLICIikdIfa/9z40AGSWcLzz79vWUAAySx+c+Pu/D2kmVIUqhQYDQCAEbEJ2FAWCSeP7IdbotV4Aqlq8ZiRUNTEyymFjjNlna/S1WBAg8fWYdnP/4aN84ej5vmTEDfmAjkVtQJUmtM/unASIjYKPxouSD7DVZOt13oEgTlhAMQNn89hxOnQ/nm5uZ2t2s0Gmg052+qMRhODxmOjY3t8P4DBw4gKysLr7/+epfb6WwbgeJVx5HVakW/fv1QVVUViJqIiIiIiIiIQk5ycjIKCwuh1WqFLiVgxJ43REZGoqWlpd1tTz75JJ566qlO13G73bjsssvQ1NSEnTt3drjMPffcg61btyInJ6fT7fzwww+YM2cOvvrqKyxcuLBH9fuCVx+rabVaFBYWwm4P7QSUiIiIiIiIyF/UanVIhUaA+PMGj8cD2VlXquyq22j58uXIzs7uNDSyWCxYtWoVHn/88U63kZ2djaVLl+LJJ58UNDQCujFUTavVhtx/YCIiIiIiIiLyr2DKG+699158+eWX2L59O9LTO55zd/Xq1TCbzbjppps6vD8nJwcLFizAnXfeiccee8yf5XrFq6FqRERERERERETUMY/Hg/vuuw9r167F1q1bMWjQoE6XnTt3LuLj47F69epz7jt27Bjmz5+Pm2++Gc8//7w/S/YaZ4AkIiIiIiIiIuqF5cuXY9WqVVi3bh10Ol3bnE1RUVEICwtrWy4/Px/bt2/Hhg0bztlGdnY25s+fj0WLFuGBBx5o24ZCoUBCQkJgHkgH2HFERERERERERNQLZ8+D1Oqdd97BLbfc0vbzo48+ivfffx9FRUWQy+Xtln3qqafw9NNPn7ONPn36oKioyJfldguDIyIiIiIiIiIi6pC860WIiIiIiIiIiCgUMTgiIiIiIiIiIqIOMTgiIiIiIiIiIqIOMTgiIiIiIiIiIqIOMTgiIiIiIiIiIqIOMTgiIiIiIiIiIqIOMTgiIiIiIiIiIqIOMTgiIiIiIiIiIqIOMTgiIiIiIiIiIqIOMTgiIiIiIiIiIqIOMTgiIiIiIiIiIqIO/T/SozlKrKw5/QAAAABJRU5ErkJggg==",
-      "text/plain": [
-       "<Figure size 1600x1000 with 2 Axes>"
+      "cell_type": "markdown",
+      "id": "51c6e404-a86f-4448-b9d2-37bb2b60f6cb",
+      "metadata": {
+        "id": "51c6e404-a86f-4448-b9d2-37bb2b60f6cb"
+      },
+      "source": [
+        "## Set up the accessor\n",
+        "\n",
+        "Fore this demo we will be using the copy of the [ECMWF ERA5 Reanalsyis dataset](https://cds.climate.copernicus.eu/datasets/reanalysis-era5-pressure-levels?tab=overview) hosted by [Google Research](https://github.com/google-research/arco-era5) on the Google Cloud Storage system."
       ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "5ded0ad5-7561-4755-82de-deee4f4a5417",
+      "metadata": {
+        "id": "5ded0ad5-7561-4755-82de-deee4f4a5417"
+      },
+      "outputs": [],
+      "source": [
+        "remote_url = 'gs://gcp-public-data-arco-era5/ar/full_37-1h-0p25deg-chunk-1.zarr-v3'"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "2190d29c-899e-4f0d-8184-7db042c07d4a",
+      "metadata": {
+        "id": "2190d29c-899e-4f0d-8184-7db042c07d4a"
+      },
+      "outputs": [],
+      "source": [
+        "zarr_opts = {'chunks': None, 'storage_options': {'token': 'anon'}}"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "15ccfd12-75e7-404e-a623-065a8fc389f9",
+      "metadata": {
+        "id": "15ccfd12-75e7-404e-a623-065a8fc389f9"
+      },
+      "source": [
+        "Usually we are only interested in a subset of the data, so we can select a particular time, pressure levels and set of variables that we want to us"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "1760e80f-c43c-4c97-9242-69c930fed623",
+      "metadata": {
+        "id": "1760e80f-c43c-4c97-9242-69c930fed623"
+      },
+      "outputs": [],
+      "source": [
+        "select_variables = ['temperature', 'specific_humidity']\n",
+        "select_pressure_levels = [200, 500, 700, 850, 1000]\n",
+        "select_time = ('2024-01-01','2025-01-01')\n",
+        "select_region = {'latitude': (-40,-5),\n",
+        "                 'longitude': (110,155)\n",
+        "                }"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "394c417d-7a85-4a8f-917c-5c32f6398437",
+      "metadata": {
+        "id": "394c417d-7a85-4a8f-917c-5c32f6398437"
+      },
+      "outputs": [],
+      "source": [
+        "select_dict = {\n",
+        "    'level': select_pressure_levels,\n",
+        "    'time': slice(*select_time),\n",
+        "}"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "bac39d42-cc5a-44ca-b0a1-908f61df54a4",
+      "metadata": {
+        "id": "bac39d42-cc5a-44ca-b0a1-908f61df54a4"
+      },
+      "outputs": [],
+      "source": [
+        "era5_accessor = pyearthtools.data.archive.ZarrTimeIndex(\n",
+        "       remote_url,\n",
+        "       variables=select_variables,\n",
+        "       open_kwargs=zarr_opts,\n",
+        "    remote=True,\n",
+        "    transforms=pyearthtools.data.transforms.TransformCollection([\n",
+        "        pyearthtools.data.transform.coordinates.Select(select_dict),\n",
+        "        pyearthtools.data.transform.region.Bounding(select_region['latitude'][0],select_region['latitude'][1], select_region['longitude'][0], select_region['longitude'][1])\n",
+        "    ]),\n",
+        "    )"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "74a39b7a-0a19-4db5-8363-5055c735076f",
+      "metadata": {
+        "id": "74a39b7a-0a19-4db5-8363-5055c735076f"
+      },
+      "source": [
+        "## Using the data of interest\n",
+        "We can now look at the xarray dataset through the time index function. If we do this, the xarray lazy loading paradigm means only the metadata will have been downloaded form the remote location, until we try to do some thing which requires the data. For example after exmaing the metadata, we will then plot some of the data which will take longer as the data will be transfered from the remote location. This will be quite efficient as only the chunks pertaining to the data selected (variables, time period, spatial region) will be transferred."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "cdfe8f43-d089-4724-aae0-d1dec734c5d2",
+      "metadata": {
+        "id": "cdfe8f43-d089-4724-aae0-d1dec734c5d2",
+        "outputId": "87cc5d10-c049-4149-b8f9-9256e8049753"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+              "<defs>\n",
+              "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+              "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+              "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+              "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+              "</symbol>\n",
+              "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+              "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+              "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+              "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+              "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+              "</symbol>\n",
+              "</defs>\n",
+              "</svg>\n",
+              "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
+              "\n",
+              ":root {\n",
+              "  --xr-font-color0: var(\n",
+              "    --jp-content-font-color0,\n",
+              "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+              "  );\n",
+              "  --xr-font-color2: var(\n",
+              "    --jp-content-font-color2,\n",
+              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+              "  );\n",
+              "  --xr-font-color3: var(\n",
+              "    --jp-content-font-color3,\n",
+              "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+              "  );\n",
+              "  --xr-border-color: var(\n",
+              "    --jp-border-color2,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+              "  );\n",
+              "  --xr-disabled-color: var(\n",
+              "    --jp-layout-color3,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+              "  );\n",
+              "  --xr-background-color: var(\n",
+              "    --jp-layout-color0,\n",
+              "    var(--pst-color-on-background, white)\n",
+              "  );\n",
+              "  --xr-background-color-row-even: var(\n",
+              "    --jp-layout-color1,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+              "  );\n",
+              "  --xr-background-color-row-odd: var(\n",
+              "    --jp-layout-color2,\n",
+              "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+              "  );\n",
+              "}\n",
+              "\n",
+              "html[theme=\"dark\"],\n",
+              "html[data-theme=\"dark\"],\n",
+              "body[data-theme=\"dark\"],\n",
+              "body.vscode-dark {\n",
+              "  --xr-font-color0: var(\n",
+              "    --jp-content-font-color0,\n",
+              "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+              "  );\n",
+              "  --xr-font-color2: var(\n",
+              "    --jp-content-font-color2,\n",
+              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+              "  );\n",
+              "  --xr-font-color3: var(\n",
+              "    --jp-content-font-color3,\n",
+              "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+              "  );\n",
+              "  --xr-border-color: var(\n",
+              "    --jp-border-color2,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+              "  );\n",
+              "  --xr-disabled-color: var(\n",
+              "    --jp-layout-color3,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+              "  );\n",
+              "  --xr-background-color: var(\n",
+              "    --jp-layout-color0,\n",
+              "    var(--pst-color-on-background, #111111)\n",
+              "  );\n",
+              "  --xr-background-color-row-even: var(\n",
+              "    --jp-layout-color1,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+              "  );\n",
+              "  --xr-background-color-row-odd: var(\n",
+              "    --jp-layout-color2,\n",
+              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+              "  );\n",
+              "}\n",
+              "\n",
+              ".xr-wrap {\n",
+              "  display: block !important;\n",
+              "  min-width: 300px;\n",
+              "  max-width: 700px;\n",
+              "  line-height: 1.6;\n",
+              "  padding-bottom: 4px;\n",
+              "}\n",
+              "\n",
+              ".xr-text-repr-fallback {\n",
+              "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+              "  display: none;\n",
+              "}\n",
+              "\n",
+              ".xr-header {\n",
+              "  padding-top: 6px;\n",
+              "  padding-bottom: 6px;\n",
+              "}\n",
+              "\n",
+              ".xr-header {\n",
+              "  border-bottom: solid 1px var(--xr-border-color);\n",
+              "  margin-bottom: 4px;\n",
+              "}\n",
+              "\n",
+              ".xr-header > div,\n",
+              ".xr-header > ul {\n",
+              "  display: inline;\n",
+              "  margin-top: 0;\n",
+              "  margin-bottom: 0;\n",
+              "}\n",
+              "\n",
+              ".xr-obj-type,\n",
+              ".xr-obj-name {\n",
+              "  margin-left: 2px;\n",
+              "  margin-right: 10px;\n",
+              "}\n",
+              "\n",
+              ".xr-obj-type,\n",
+              ".xr-group-box-contents > label {\n",
+              "  color: var(--xr-font-color2);\n",
+              "  display: block;\n",
+              "}\n",
+              "\n",
+              ".xr-sections {\n",
+              "  padding-left: 0 !important;\n",
+              "  display: grid;\n",
+              "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+              "  margin-block-start: 0;\n",
+              "  margin-block-end: 0;\n",
+              "}\n",
+              "\n",
+              ".xr-section-item {\n",
+              "  display: contents;\n",
+              "}\n",
+              "\n",
+              ".xr-section-item > input,\n",
+              ".xr-group-box-contents > input,\n",
+              ".xr-array-wrap > input {\n",
+              "  display: block;\n",
+              "  opacity: 0;\n",
+              "  height: 0;\n",
+              "  margin: 0;\n",
+              "}\n",
+              "\n",
+              ".xr-section-item > input + label,\n",
+              ".xr-var-item > input + label {\n",
+              "  color: var(--xr-disabled-color);\n",
+              "}\n",
+              "\n",
+              ".xr-section-item > input:enabled + label,\n",
+              ".xr-var-item > input:enabled + label,\n",
+              ".xr-array-wrap > input:enabled + label,\n",
+              ".xr-group-box-contents > input:enabled + label {\n",
+              "  cursor: pointer;\n",
+              "  color: var(--xr-font-color2);\n",
+              "}\n",
+              "\n",
+              ".xr-section-item > input:focus-visible + label,\n",
+              ".xr-var-item > input:focus-visible + label,\n",
+              ".xr-array-wrap > input:focus-visible + label,\n",
+              ".xr-group-box-contents > input:focus-visible + label {\n",
+              "  outline: auto;\n",
+              "}\n",
+              "\n",
+              ".xr-section-item > input:enabled + label:hover,\n",
+              ".xr-var-item > input:enabled + label:hover,\n",
+              ".xr-array-wrap > input:enabled + label:hover,\n",
+              ".xr-group-box-contents > input:enabled + label:hover {\n",
+              "  color: var(--xr-font-color0);\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary {\n",
+              "  grid-column: 1;\n",
+              "  color: var(--xr-font-color2);\n",
+              "  font-weight: 500;\n",
+              "  white-space: nowrap;\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary > em {\n",
+              "  font-weight: normal;\n",
+              "}\n",
+              "\n",
+              ".xr-span-grid {\n",
+              "  grid-column-end: -1;\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary > span {\n",
+              "  display: inline-block;\n",
+              "  padding-left: 0.3em;\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-contents > input:checked + label > span {\n",
+              "  display: inline-block;\n",
+              "  padding-left: 0.6em;\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary-in:disabled + label {\n",
+              "  color: var(--xr-font-color2);\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary-in + label:before {\n",
+              "  display: inline-block;\n",
+              "  content: \"►\";\n",
+              "  font-size: 11px;\n",
+              "  width: 15px;\n",
+              "  text-align: center;\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary-in:disabled + label:before {\n",
+              "  color: var(--xr-disabled-color);\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary-in:checked + label:before {\n",
+              "  content: \"▼\";\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary-in:checked + label > span {\n",
+              "  display: none;\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary,\n",
+              ".xr-section-inline-details,\n",
+              ".xr-group-box-contents > label {\n",
+              "  padding-top: 4px;\n",
+              "}\n",
+              "\n",
+              ".xr-section-inline-details {\n",
+              "  grid-column: 2 / -1;\n",
+              "}\n",
+              "\n",
+              ".xr-section-details {\n",
+              "  grid-column: 1 / -1;\n",
+              "  margin-top: 4px;\n",
+              "  margin-bottom: 5px;\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary-in ~ .xr-section-details {\n",
+              "  display: none;\n",
+              "}\n",
+              "\n",
+              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+              "  display: contents;\n",
+              "}\n",
+              "\n",
+              ".xr-children {\n",
+              "  display: inline-grid;\n",
+              "  grid-template-columns: 100%;\n",
+              "  grid-column: 1 / -1;\n",
+              "  padding-top: 4px;\n",
+              "}\n",
+              "\n",
+              ".xr-group-box {\n",
+              "  display: inline-grid;\n",
+              "  grid-template-columns: 0px 30px auto;\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-vline {\n",
+              "  grid-column-start: 1;\n",
+              "  border-right: 0.2em solid;\n",
+              "  border-color: var(--xr-border-color);\n",
+              "  width: 0px;\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-hline {\n",
+              "  grid-column-start: 2;\n",
+              "  grid-row-start: 1;\n",
+              "  height: 1em;\n",
+              "  width: 26px;\n",
+              "  border-bottom: 0.2em solid;\n",
+              "  border-color: var(--xr-border-color);\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-contents {\n",
+              "  grid-column-start: 3;\n",
+              "  padding-bottom: 4px;\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-contents > label::before {\n",
+              "  content: \"📂\";\n",
+              "  padding-right: 0.3em;\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-contents > input:checked + label::before {\n",
+              "  content: \"📁\";\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-contents > input:checked + label {\n",
+              "  padding-bottom: 0px;\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
+              "  display: none;\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-contents > input + label > span {\n",
+              "  display: none;\n",
+              "}\n",
+              "\n",
+              ".xr-group-box-ellipsis {\n",
+              "  font-size: 1.4em;\n",
+              "  font-weight: 900;\n",
+              "  color: var(--xr-font-color2);\n",
+              "  letter-spacing: 0.15em;\n",
+              "  cursor: default;\n",
+              "}\n",
+              "\n",
+              ".xr-array-wrap {\n",
+              "  grid-column: 1 / -1;\n",
+              "  display: grid;\n",
+              "  grid-template-columns: 20px auto;\n",
+              "}\n",
+              "\n",
+              ".xr-array-wrap > label {\n",
+              "  grid-column: 1;\n",
+              "  vertical-align: top;\n",
+              "}\n",
+              "\n",
+              ".xr-preview {\n",
+              "  color: var(--xr-font-color3);\n",
+              "}\n",
+              "\n",
+              ".xr-array-preview,\n",
+              ".xr-array-data {\n",
+              "  padding: 0 5px !important;\n",
+              "  grid-column: 2;\n",
+              "}\n",
+              "\n",
+              ".xr-array-data,\n",
+              ".xr-array-in:checked ~ .xr-array-preview {\n",
+              "  display: none;\n",
+              "}\n",
+              "\n",
+              ".xr-array-in:checked ~ .xr-array-data,\n",
+              ".xr-array-preview {\n",
+              "  display: inline-block;\n",
+              "}\n",
+              "\n",
+              ".xr-dim-list {\n",
+              "  display: inline-block !important;\n",
+              "  list-style: none;\n",
+              "  padding: 0 !important;\n",
+              "  margin: 0;\n",
+              "}\n",
+              "\n",
+              ".xr-dim-list li {\n",
+              "  display: inline-block;\n",
+              "  padding: 0;\n",
+              "  margin: 0;\n",
+              "}\n",
+              "\n",
+              ".xr-dim-list:before {\n",
+              "  content: \"(\";\n",
+              "}\n",
+              "\n",
+              ".xr-dim-list:after {\n",
+              "  content: \")\";\n",
+              "}\n",
+              "\n",
+              ".xr-dim-list li:not(:last-child):after {\n",
+              "  content: \",\";\n",
+              "  padding-right: 5px;\n",
+              "}\n",
+              "\n",
+              ".xr-has-index {\n",
+              "  font-weight: bold;\n",
+              "}\n",
+              "\n",
+              ".xr-var-list,\n",
+              ".xr-var-item {\n",
+              "  display: contents;\n",
+              "}\n",
+              "\n",
+              ".xr-var-item > div,\n",
+              ".xr-var-item label,\n",
+              ".xr-var-item > .xr-var-name span {\n",
+              "  background-color: var(--xr-background-color-row-even);\n",
+              "  border-color: var(--xr-background-color-row-odd);\n",
+              "  margin-bottom: 0;\n",
+              "  padding-top: 2px;\n",
+              "}\n",
+              "\n",
+              ".xr-var-item > .xr-var-name:hover span {\n",
+              "  padding-right: 5px;\n",
+              "}\n",
+              "\n",
+              ".xr-var-list > li:nth-child(odd) > div,\n",
+              ".xr-var-list > li:nth-child(odd) > label,\n",
+              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+              "  background-color: var(--xr-background-color-row-odd);\n",
+              "  border-color: var(--xr-background-color-row-even);\n",
+              "}\n",
+              "\n",
+              ".xr-var-name {\n",
+              "  grid-column: 1;\n",
+              "}\n",
+              "\n",
+              ".xr-var-dims {\n",
+              "  grid-column: 2;\n",
+              "}\n",
+              "\n",
+              ".xr-var-dtype {\n",
+              "  grid-column: 3;\n",
+              "  text-align: right;\n",
+              "  color: var(--xr-font-color2);\n",
+              "}\n",
+              "\n",
+              ".xr-var-preview {\n",
+              "  grid-column: 4;\n",
+              "}\n",
+              "\n",
+              ".xr-index-preview {\n",
+              "  grid-column: 2 / 5;\n",
+              "  color: var(--xr-font-color2);\n",
+              "}\n",
+              "\n",
+              ".xr-var-name,\n",
+              ".xr-var-dims,\n",
+              ".xr-var-dtype,\n",
+              ".xr-preview,\n",
+              ".xr-attrs dt {\n",
+              "  white-space: nowrap;\n",
+              "  overflow: hidden;\n",
+              "  text-overflow: ellipsis;\n",
+              "  padding-right: 10px;\n",
+              "}\n",
+              "\n",
+              ".xr-var-name:hover,\n",
+              ".xr-var-dims:hover,\n",
+              ".xr-var-dtype:hover,\n",
+              ".xr-attrs dt:hover {\n",
+              "  overflow: visible;\n",
+              "  width: auto;\n",
+              "  z-index: 1;\n",
+              "}\n",
+              "\n",
+              ".xr-var-attrs,\n",
+              ".xr-var-data,\n",
+              ".xr-index-data {\n",
+              "  display: none;\n",
+              "  border-top: 2px dotted var(--xr-background-color);\n",
+              "  padding-bottom: 20px !important;\n",
+              "  padding-top: 10px !important;\n",
+              "}\n",
+              "\n",
+              ".xr-var-attrs-in + label,\n",
+              ".xr-var-data-in + label,\n",
+              ".xr-index-data-in + label {\n",
+              "  padding: 0 1px;\n",
+              "}\n",
+              "\n",
+              ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+              ".xr-var-data-in:checked ~ .xr-var-data,\n",
+              ".xr-index-data-in:checked ~ .xr-index-data {\n",
+              "  display: block;\n",
+              "}\n",
+              "\n",
+              ".xr-var-data > table {\n",
+              "  float: right;\n",
+              "}\n",
+              "\n",
+              ".xr-var-data > pre,\n",
+              ".xr-index-data > pre,\n",
+              ".xr-var-data > table > tbody > tr {\n",
+              "  background-color: transparent !important;\n",
+              "}\n",
+              "\n",
+              ".xr-var-name span,\n",
+              ".xr-var-data,\n",
+              ".xr-index-name div,\n",
+              ".xr-index-data,\n",
+              ".xr-attrs {\n",
+              "  padding-left: 25px !important;\n",
+              "}\n",
+              "\n",
+              ".xr-attrs,\n",
+              ".xr-var-attrs,\n",
+              ".xr-var-data,\n",
+              ".xr-index-data {\n",
+              "  grid-column: 1 / -1;\n",
+              "}\n",
+              "\n",
+              "dl.xr-attrs {\n",
+              "  padding: 0;\n",
+              "  margin: 0;\n",
+              "  display: grid;\n",
+              "  grid-template-columns: 125px auto;\n",
+              "}\n",
+              "\n",
+              ".xr-attrs dt,\n",
+              ".xr-attrs dd {\n",
+              "  padding: 0;\n",
+              "  margin: 0;\n",
+              "  float: left;\n",
+              "  padding-right: 10px;\n",
+              "  width: auto;\n",
+              "}\n",
+              "\n",
+              ".xr-attrs dt {\n",
+              "  font-weight: normal;\n",
+              "  grid-column: 1;\n",
+              "}\n",
+              "\n",
+              ".xr-attrs dt:hover span {\n",
+              "  display: inline-block;\n",
+              "  background: var(--xr-background-color);\n",
+              "  padding-right: 10px;\n",
+              "}\n",
+              "\n",
+              ".xr-attrs dd {\n",
+              "  grid-column: 2;\n",
+              "  white-space: pre-wrap;\n",
+              "  word-break: break-all;\n",
+              "}\n",
+              "\n",
+              ".xr-icon-database,\n",
+              ".xr-icon-file-text2,\n",
+              ".xr-no-icon {\n",
+              "  display: inline-block;\n",
+              "  vertical-align: middle;\n",
+              "  width: 1em;\n",
+              "  height: 1.5em !important;\n",
+              "  stroke-width: 0;\n",
+              "  stroke: currentColor;\n",
+              "  fill: currentColor;\n",
+              "}\n",
+              "\n",
+              ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+              ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+              ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+              "  color: var(--xr-font-color0);\n",
+              "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+              "  stroke-width: 0.8px;\n",
+              "}\n",
+              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 1MB\n",
+              "Dimensions:            (time: 1, level: 5, latitude: 141, longitude: 181)\n",
+              "Coordinates:\n",
+              "  * time               (time) datetime64[ns] 8B 2024-01-23T17:00:00\n",
+              "  * level              (level) int64 40B 200 500 700 850 1000\n",
+              "  * latitude           (latitude) float32 564B -5.0 -5.25 -5.5 ... -39.75 -40.0\n",
+              "  * longitude          (longitude) float32 724B 110.0 110.2 ... 154.8 155.0\n",
+              "Data variables:\n",
+              "    specific_humidity  (time, level, latitude, longitude) float32 510kB ...\n",
+              "    temperature        (time, level, latitude, longitude) float32 510kB ...\n",
+              "Attributes:\n",
+              "    valid_time_start:       1940-01-01\n",
+              "    last_updated:           2026-06-01 03:27:53.232444+00:00\n",
+              "    valid_time_stop:        2025-12-31\n",
+              "    valid_time_stop_era5t:  2026-05-26</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-9620a655-65a9-49c9-a840-cfe344bf2829' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-9620a655-65a9-49c9-a840-cfe344bf2829' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>level</span>: 5</li><li><span class='xr-has-index'>latitude</span>: 141</li><li><span class='xr-has-index'>longitude</span>: 181</li></ul></div></li><li class='xr-section-item'><input id='section-872ed2b7-5472-4364-a5b0-dad24d4ecc18' class='xr-section-summary-in' type='checkbox' checked /><label for='section-872ed2b7-5472-4364-a5b0-dad24d4ecc18' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2024-01-23T17:00:00</div><input id='attrs-2efe8ba6-b2e9-40c1-b6e9-3c40d388a0ef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2efe8ba6-b2e9-40c1-b6e9-3c40d388a0ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9cf1c9c-af20-4f8f-9aaa-7e0f494eebf2' class='xr-var-data-in' type='checkbox'><label for='data-f9cf1c9c-af20-4f8f-9aaa-7e0f494eebf2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2024-01-23T17:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>200 500 700 850 1000</div><input id='attrs-7cfe3dac-5c1f-4fe2-82e4-139c125fc18f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7cfe3dac-5c1f-4fe2-82e4-139c125fc18f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-007a1c17-81fb-44c3-86a2-ca9008a111f1' class='xr-var-data-in' type='checkbox'><label for='data-007a1c17-81fb-44c3-86a2-ca9008a111f1' 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>level</dd><dt><span>units :</span></dt><dd>Hectopascal(hPa)</dd></dl></div><div class='xr-var-data'><pre>array([ 200,  500,  700,  850, 1000])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-5.0 -5.25 -5.5 ... -39.75 -40.0</div><input id='attrs-ebe64952-bab6-4d96-91fb-a4d6561040dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebe64952-bab6-4d96-91fb-a4d6561040dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e01c2f9f-7c99-4803-a84f-2a2d993ff06b' class='xr-var-data-in' type='checkbox'><label for='data-e01c2f9f-7c99-4803-a84f-2a2d993ff06b' 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</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([ -5.  ,  -5.25,  -5.5 ,  -5.75,  -6.  ,  -6.25,  -6.5 ,  -6.75,  -7.  ,\n",
+              "        -7.25,  -7.5 ,  -7.75,  -8.  ,  -8.25,  -8.5 ,  -8.75,  -9.  ,  -9.25,\n",
+              "        -9.5 ,  -9.75, -10.  , -10.25, -10.5 , -10.75, -11.  , -11.25, -11.5 ,\n",
+              "       -11.75, -12.  , -12.25, -12.5 , -12.75, -13.  , -13.25, -13.5 , -13.75,\n",
+              "       -14.  , -14.25, -14.5 , -14.75, -15.  , -15.25, -15.5 , -15.75, -16.  ,\n",
+              "       -16.25, -16.5 , -16.75, -17.  , -17.25, -17.5 , -17.75, -18.  , -18.25,\n",
+              "       -18.5 , -18.75, -19.  , -19.25, -19.5 , -19.75, -20.  , -20.25, -20.5 ,\n",
+              "       -20.75, -21.  , -21.25, -21.5 , -21.75, -22.  , -22.25, -22.5 , -22.75,\n",
+              "       -23.  , -23.25, -23.5 , -23.75, -24.  , -24.25, -24.5 , -24.75, -25.  ,\n",
+              "       -25.25, -25.5 , -25.75, -26.  , -26.25, -26.5 , -26.75, -27.  , -27.25,\n",
+              "       -27.5 , -27.75, -28.  , -28.25, -28.5 , -28.75, -29.  , -29.25, -29.5 ,\n",
+              "       -29.75, -30.  , -30.25, -30.5 , -30.75, -31.  , -31.25, -31.5 , -31.75,\n",
+              "       -32.  , -32.25, -32.5 , -32.75, -33.  , -33.25, -33.5 , -33.75, -34.  ,\n",
+              "       -34.25, -34.5 , -34.75, -35.  , -35.25, -35.5 , -35.75, -36.  , -36.25,\n",
+              "       -36.5 , -36.75, -37.  , -37.25, -37.5 , -37.75, -38.  , -38.25, -38.5 ,\n",
+              "       -38.75, -39.  , -39.25, -39.5 , -39.75, -40.  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>110.0 110.2 110.5 ... 154.8 155.0</div><input id='attrs-484f27a1-31aa-4a7c-8208-66ad5e1d0379' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-484f27a1-31aa-4a7c-8208-66ad5e1d0379' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4277a4a9-2b4b-476e-bfee-5c408f9f6902' class='xr-var-data-in' type='checkbox'><label for='data-4277a4a9-2b4b-476e-bfee-5c408f9f6902' 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</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([110.  , 110.25, 110.5 , 110.75, 111.  , 111.25, 111.5 , 111.75, 112.  ,\n",
+              "       112.25, 112.5 , 112.75, 113.  , 113.25, 113.5 , 113.75, 114.  , 114.25,\n",
+              "       114.5 , 114.75, 115.  , 115.25, 115.5 , 115.75, 116.  , 116.25, 116.5 ,\n",
+              "       116.75, 117.  , 117.25, 117.5 , 117.75, 118.  , 118.25, 118.5 , 118.75,\n",
+              "       119.  , 119.25, 119.5 , 119.75, 120.  , 120.25, 120.5 , 120.75, 121.  ,\n",
+              "       121.25, 121.5 , 121.75, 122.  , 122.25, 122.5 , 122.75, 123.  , 123.25,\n",
+              "       123.5 , 123.75, 124.  , 124.25, 124.5 , 124.75, 125.  , 125.25, 125.5 ,\n",
+              "       125.75, 126.  , 126.25, 126.5 , 126.75, 127.  , 127.25, 127.5 , 127.75,\n",
+              "       128.  , 128.25, 128.5 , 128.75, 129.  , 129.25, 129.5 , 129.75, 130.  ,\n",
+              "       130.25, 130.5 , 130.75, 131.  , 131.25, 131.5 , 131.75, 132.  , 132.25,\n",
+              "       132.5 , 132.75, 133.  , 133.25, 133.5 , 133.75, 134.  , 134.25, 134.5 ,\n",
+              "       134.75, 135.  , 135.25, 135.5 , 135.75, 136.  , 136.25, 136.5 , 136.75,\n",
+              "       137.  , 137.25, 137.5 , 137.75, 138.  , 138.25, 138.5 , 138.75, 139.  ,\n",
+              "       139.25, 139.5 , 139.75, 140.  , 140.25, 140.5 , 140.75, 141.  , 141.25,\n",
+              "       141.5 , 141.75, 142.  , 142.25, 142.5 , 142.75, 143.  , 143.25, 143.5 ,\n",
+              "       143.75, 144.  , 144.25, 144.5 , 144.75, 145.  , 145.25, 145.5 , 145.75,\n",
+              "       146.  , 146.25, 146.5 , 146.75, 147.  , 147.25, 147.5 , 147.75, 148.  ,\n",
+              "       148.25, 148.5 , 148.75, 149.  , 149.25, 149.5 , 149.75, 150.  , 150.25,\n",
+              "       150.5 , 150.75, 151.  , 151.25, 151.5 , 151.75, 152.  , 152.25, 152.5 ,\n",
+              "       152.75, 153.  , 153.25, 153.5 , 153.75, 154.  , 154.25, 154.5 , 154.75,\n",
+              "       155.  ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-db68a417-7ddc-4d12-ab18-1ba7ce686908' class='xr-section-summary-in' type='checkbox' checked /><label for='section-db68a417-7ddc-4d12-ab18-1ba7ce686908' class='xr-section-summary' title='Expand/collapse section'>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>specific_humidity</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5d900e15-7498-48ae-8dbe-185558c89c6f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d900e15-7498-48ae-8dbe-185558c89c6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ce88a3f-9a45-4bb1-a5c2-9deedebb539e' class='xr-var-data-in' type='checkbox'><label for='data-0ce88a3f-9a45-4bb1-a5c2-9deedebb539e' 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>Specific humidity</dd><dt><span>short_name :</span></dt><dd>q</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg**-1</dd></dl></div><div class='xr-var-data'><pre>[127605 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4afffbf0-eaca-44ae-8330-967e7aa08f71' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4afffbf0-eaca-44ae-8330-967e7aa08f71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e14c2d1-9506-47c6-bc37-fa9aa8e058a2' class='xr-var-data-in' type='checkbox'><label for='data-6e14c2d1-9506-47c6-bc37-fa9aa8e058a2' 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>Temperature</dd><dt><span>short_name :</span></dt><dd>t</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[127605 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ec12aa4a-6873-4e4b-9627-6f8f3c8b819d' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ec12aa4a-6873-4e4b-9627-6f8f3c8b819d' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>valid_time_start :</span></dt><dd>1940-01-01</dd><dt><span>last_updated :</span></dt><dd>2026-06-01 03:27:53.232444+00:00</dd><dt><span>valid_time_stop :</span></dt><dd>2025-12-31</dd><dt><span>valid_time_stop_era5t :</span></dt><dd>2026-05-26</dd></dl></div></li></ul></div></div>"
+            ],
+            "text/plain": [
+              "<xarray.Dataset> Size: 1MB\n",
+              "Dimensions:            (time: 1, level: 5, latitude: 141, longitude: 181)\n",
+              "Coordinates:\n",
+              "  * time               (time) datetime64[ns] 8B 2024-01-23T17:00:00\n",
+              "  * level              (level) int64 40B 200 500 700 850 1000\n",
+              "  * latitude           (latitude) float32 564B -5.0 -5.25 -5.5 ... -39.75 -40.0\n",
+              "  * longitude          (longitude) float32 724B 110.0 110.2 ... 154.8 155.0\n",
+              "Data variables:\n",
+              "    specific_humidity  (time, level, latitude, longitude) float32 510kB ...\n",
+              "    temperature        (time, level, latitude, longitude) float32 510kB ...\n",
+              "Attributes:\n",
+              "    valid_time_start:       1940-01-01\n",
+              "    last_updated:           2026-06-01 03:27:53.232444+00:00\n",
+              "    valid_time_stop:        2025-12-31\n",
+              "    valid_time_stop_era5t:  2026-05-26"
+            ]
+          },
+          "execution_count": 10,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "era5_accessor['2024-01-23 17:00']"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "53cd3128-3c45-450c-a0fa-866d7fc353dc",
+      "metadata": {
+        "id": "53cd3128-3c45-450c-a0fa-866d7fc353dc",
+        "outputId": "a8642bb7-0b91-4683-bb9d-104893bc11cd"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "<cartopy.mpl.feature_artist.FeatureArtist at 0x7f105bf97590>"
+            ]
+          },
+          "execution_count": 11,
+          "metadata": {},
+          "output_type": "execute_result"
+        },
+        {
+          "data": {
+            "image/png": "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",
+            "text/plain": [
+              "<Figure size 1600x1000 with 2 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "fig1 = matplotlib.pyplot.figure(figsize=(16,10))\n",
+        "ax1=fig1.add_subplot(1,1,1,projection=cartopy.crs.PlateCarree())\n",
+        "era5_accessor['2024-01-23 17:00']['temperature'].sel(level=850)[0].plot.contourf(ax=ax1)\n",
+        "ax1.coastlines(color='w')"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "pet_nb_cpu",
+      "language": "python",
+      "name": "pet_nb_cpu"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.12.10"
+    },
+    "colab": {
+      "provenance": [],
+      "include_colab_link": true
     }
-   ],
-   "source": [
-    "fig1 = matplotlib.pyplot.figure(figsize=(16,10))\n",
-    "ax1=fig1.add_subplot(1,1,1,projection=cartopy.crs.PlateCarree())\n",
-    "era5_accessor['2024-01-23 17:00']['temperature'].sel(level=850)[0].plot.contourf(ax=ax1)\n",
-    "ax1.coastlines(color='w')"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "pet_nb_cpu",
-   "language": "python",
-   "name": "pet_nb_cpu"
   },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.12.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
+  "nbformat": 4,
+  "nbformat_minor": 5
+}
\ No newline at end of file