From 0f3d99365f71c3e627e09810d4809aab9d855747 Mon Sep 17 00:00:00 2001 From: erogluorhan Date: Tue, 17 Dec 2024 12:52:44 -0700 Subject: [PATCH] Populate all the notebooks of 01-foundations. Also update README for teh whole cookbook accordingly --- README.md | 50 +- _static/images/grids.png | Bin 0 -> 845559 bytes notebooks/01-foundations/plotting-libs.ipynb | 332 +++++++++++- .../01-foundations/rendering-techniques.ipynb | 344 +++++++++++- .../01-foundations/unstructured-grids.ipynb | 499 +++++++++++++++++- 5 files changed, 1171 insertions(+), 54 deletions(-) create mode 100644 _static/images/grids.png diff --git a/README.md b/README.md index 128d7c3b..c432e808 100644 --- a/README.md +++ b/README.md @@ -9,25 +9,28 @@ [![Binder](https://binder.projectpythia.org/badge_logo.svg)](https://binder.projectpythia.org/v2/gh/ProjectPythia/unstructured-grid-viz-cookbook.git/main?labpath=notebooks) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.10403389.svg)](https://doi.org/10.5281/zenodo.10403389) -This Cookbook is a comprehensive showcase of workflows & techniques for visualizing Unstructured Grids using [UXarray](https://uxarray.readthedocs.io/). +This Cookbook is a comprehensive showcase of workflows & techniques for visualizing Unstructured Grids using [UXarray](https://uxarray.readthedocs.io/), +foundational information on unstructrued grids also provided. ## Motivation -The ability to natively visualize unstructured grids is a much-needed ability within the Scientific Python Ecosystem, +The ability to natively visualize unstructured grids is much needed within the Scientific Python Ecosystem, which poses multiple challenges and needs to: -- Not regrid the source unstructured grid to structure +- Not regrid the source unstructured grid to structured grid - Take advantage of grid information, such as connectivity variables - Limit the amount of pre-processing needed to prepare the data for Python visualization tools -UXarray enables such visualization methods that operate directly on unstructured grid data, -providing Xarray-styled functionality to better read in -and use unstructured grid datasets that follow standard conventions. -UXarray supports a variety of unstructured grid formats including UGRID, MPAS, SCRIP, and Exodus, -and is extendable for other formats. +UXarray enables such visualization methods that operate directly on unstructured grid data, providing +Xarray-styled functionality to better read in and use unstructured grid datasets that follow standard +conventions. -This cookbook covers an introduction to unstructured grids and UXarray, -provides an overview of the visualization methods and libraries, and showcases several UXarray visualization functions. +UXarray supports a variety of unstructured grid formats and file types including UGRID, MPAS, ICON, CAM-SE, +SCRIP, Exodus, ESMF, GEOS, and FESOM2, and is extensible for other formats. + +This cookbook covers an introduction to unstructured grids and UXarray from a visualization standpoint, +providing foundational information about unstructured grids, visualization methods and libraries, and +introducing UXarray, and showcasing several UXarray visualization functions and workflows. ## Authors @@ -47,19 +50,32 @@ provides an overview of the visualization methods and libraries, and showcases s ## Structure -This cookbook is split up into a few chapters that provide a detailed overview of how to use UXarray to work with and visualize unstructured grid datasets: +This cookbook is split up into several chapters to communicate the content efffectively with different +levels of readers: + +**1. Foundations** + +Here, we cover overview of the foundational topics necessary to understand the content in this cookbook, +e.g. what unstructured grids are and how they are different than structured grids, what plotting libraries +and visualization techniques exist that can be helpful for unstructured grid visualization, and we briefly +mention how UXarray is related to these. -**1. Introduction to UXarray & Unstructured Grids** +**2. Introduction to UXarray** -Here we cover what unstructured grids are and how they are different than structured grids as well as whay UXarray could play a significant role in unstructured grid visualization. +In this chapter, we provide an overview of UXarray: An Xarray-extension for unstructured grid-formatted +climate and global weather data analysis and visualization. -**2. Methods & Libraries for Unstructured Grid Visualization** +**3. Plotting with UXarray** -In this chapter, we briefly introduce plotting libraries and their specific technologies as well as rendering techniques that could be used for unstructured grid plotting and are used as part of UXarray. +We provide an overview of the UXarray plotting API along with several visualization functionality, and cases +and examples that can be realized using such UXarray functionality; Grid visualization, Data visualization, +Geographic projections and features, to name a few. Also in this section, customization and interactivaity +with UXarray plotting and considerations with high-resolution plotting are also provided. -**3. UXarray Visualization** +**4. Visualization Workflows** -Several visualization cases and examples that can be realized using UXarray are provided in this chapter; grid topology plots, polygons, points, to name a few. Also in this section, the usage of UXarray plotting API and a discussion of visualization at scale are also provided. +In this last chapter, we offer to the interested readers a set of focused workflows that can be realized +with UXarray; MPAS analysis across resolutions, e3SM radiative feedback analysis, to name a few ## Running the Notebooks diff --git a/_static/images/grids.png b/_static/images/grids.png new file mode 100644 index 0000000000000000000000000000000000000000..d5bfc8e740329c8087206f5df71f1d7f24313fc5 GIT binary patch literal 845559 zcmW(+b5!Pk6OB){ZQHi-t2S%1ZJS$d+O*GRyEbpuX4htGv+ei0?_bsFoKAh3xpU{< zJ27f1awv#|h!7AEC<^k@>JShh;8Vygcqrh*sWS&V1Vjjgg0zIDkI`wTw+HbMn9c7a z$a-q^Ho&`faq3>b+0rtGk|9Z#@F8Gi5(*nM14`@Z@i9SSw@5mwvve4Nq!x*tsz z^tj=FA>wnnb$_mf^hi%k^L~TP~5b^W*)6Eco@xIydnCZqYcnT@(?U zUM=rYYIm{w{SMDK;A(^}_x1HaEco^Ds?-0$X}!&Je>5!)kIksl?=IVWqc!;BJ%vtH z^l>X(RqX9{jIBH3deaFC_TP_roq;fPikQz8@ds4}J)Ez9q|N7w1|n9y#~HsuS$bmA 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zDFN(KepYr|x&=YP3!G9A7QuH6YMLzOsGd!~Z$?2u2mJ~^KnwIk5iOWT2SVkVxUFs6 zs-%WH`8=78ISr*I($9>U6m2cN8IHYXqf8|3uBbE0KVg0ttu`>LpQMf$lQkel7BlNY zfJ6M>b;O1PW#rAx_Y~-Qmq_fvO=eo)2S7ITf3FoEEXa*uBA;9kfjdrpyIs6lIoSA; Rb4LhVx|&8BFVq~P{vR&vP5uA? literal 0 HcmV?d00001 diff --git a/notebooks/01-foundations/plotting-libs.ipynb b/notebooks/01-foundations/plotting-libs.ipynb index 8242d612..d6fd4445 100644 --- a/notebooks/01-foundations/plotting-libs.ipynb +++ b/notebooks/01-foundations/plotting-libs.ipynb @@ -3,7 +3,13 @@ { "cell_type": "markdown", "id": "a107dfa27c1b5b7b", - "metadata": {}, + "metadata": { + "panel-layout": { + "height": 423.611, + "visible": true, + "width": 100 + } + }, "source": [ "\"Continents\"\n", + "\n", + " " + ] + }, + { + "cell_type": "markdown", + "id": "b862e8ae-58e6-47cb-849b-631878b0090f", + "metadata": { + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "source": [ + "Another example of Vector Geometries is encountered when adding features to a visualization, such as Contents or Borders. The geometries of these features are drawn onto our screen.\n", + "\n", + " \n", + "\n", + "\"Continents\"\n", + "\n", + " " + ] + }, + { + "cell_type": "markdown", + "id": "6f2fde1d-82b8-47c9-9852-0d4e7d7618ee", + "metadata": { + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "source": [ + "### Shapely Example" + ] + }, + { + "cell_type": "markdown", + "id": "e5807c07-d64b-4f75-969c-bd908d6c134d", + "metadata": { + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "source": [ + "One Python package which is used for representing and manipulating geometries is [Shapely](https://shapely.readthedocs.io/en/stable/manual.html).\n", + "\n", + "Shapely can be paired with SpatialPandas and other packages to represent unstructured grid elements (nodes, edges, faces) as geometries for visualization.\n", + "\n", + "The following code snippets are basic examples of how these elements can be represented as geometries.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "78cbec48-6730-4562-80a5-ffc20515d087", + "metadata": { + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [], "source": [ - "# todo" + "import shapely as sp" + ] + }, + { + "cell_type": "markdown", + "id": "91edd03c-c30e-4635-b9dd-1be2a59fff7a", + "metadata": { + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "source": [ + "A node is represented as a pair of longitude and latitude coordinates" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "6a5942f1-9e27-470f-859d-9f9bcd458963", + "metadata": { + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sp.Point([0.0, 0.0])" + ] + }, + { + "cell_type": "markdown", + "id": "4a4783e9-eccd-450b-91c6-fe0bfda39123", + "metadata": { + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "source": [ + "An edge is represented as a pair of nodes." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "e5ad35dd-1899-4495-ab94-11f75be3f1d6", + "metadata": { + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sp.LineString([[0.0, 0.0], [180, -90]])" + ] + }, + { + "cell_type": "markdown", + "id": "ac6ee958-4b5e-4327-b466-f3c2dbdba2f4", + "metadata": { + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "source": [ + "A face is represented as a counter-clockwise set of nodes, with the first and final nodes in the set being equivalent (form a closed face)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "575edb2b-adf1-400c-ab8b-d6357b3aacb1", + "metadata": { + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sp.Polygon([[100, 40], [100, 50], [90, 50], [90, 40], [100, 40]])" + ] + }, + { + "cell_type": "markdown", + "id": "4bfdd46f-5810-43d6-b7d6-b277119d6dd4", + "metadata": { + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "source": [ + "## Rasterization\n", + "\n", + "While there is definitely merit in rendering each geometric shape directly, this operation is computationally expensive for large datasets.\n", + "\n", + "Rasterization is a technique in computer graphics that converts vector (a.k.a geometric shapes) graphics into a raster image, which can be thought of as a regularly-sampled array of pixel values used for rendering.\n", + "\n", + "The figure below shows a simplified example of how rasterization \"approximates\" the geometry of different elements.\n", + "\n", + " \n", + "\n", + "\"Rasterization\n", + "\n", + " " + ] + }, + { + "cell_type": "markdown", + "id": "c081ea7a-a033-46e9-baf5-d52b1be4a9db", + "metadata": { + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "source": [ + "For unstructured grids, rasterization looks something like the following.\n", + "\n", + " \n", + "\n", + "\"raster\n", + "\n", + " " + ] + }, + { + "cell_type": "markdown", + "id": "709e29b3-da78-4a00-b595-864af151905e", + "metadata": { + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "source": [ + "The black edges outline the expected geometry of each face (a.k.a polygon).\n", + "\n", + "We can observe the jaggedness in the shading, which is the product of rasterization approximating each face." + ] + }, + { + "cell_type": "markdown", + "id": "563f167c-9c2f-4ddc-a02f-8e40e5fba956", + "metadata": { + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "source": [ + "

" + ] + }, + { + "cell_type": "markdown", + "id": "1e486b87-54ad-476a-b724-398d989e8934", + "metadata": { + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "source": [ + "" + ] + }, + { + "cell_type": "markdown", + "id": "5d8786a7-8059-4fff-9af5-fba3b80ec8a3", + "metadata": { + "panel-layout": { + "height": 84.3924, + "visible": true, + "width": 100 + } + }, + "source": [ + "## What is next?\n", + "Up next is the new chapter that will provide an Introduction to UXarray." ] } ], @@ -61,7 +385,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.3" + "version": "3.12.6" } }, "nbformat": 4, diff --git a/notebooks/01-foundations/unstructured-grids.ipynb b/notebooks/01-foundations/unstructured-grids.ipynb index 66014bfb..f1cd9fc4 100644 --- a/notebooks/01-foundations/unstructured-grids.ipynb +++ b/notebooks/01-foundations/unstructured-grids.ipynb @@ -3,7 +3,13 @@ { "cell_type": "markdown", "id": "b0e265cab6491374", - "metadata": {}, + "metadata": { + "panel-layout": { + "height": 474.08, + "visible": true, + "width": 100 + } + }, "source": [ "\n", "\n", - "# Unstructured Grids\n", + "# Unstructured Grids Overview\n", "\n", - "### In this tutorial, you'll learn:\n", + "### In this section, you'll learn:\n", "\n", - "* TODO:\n", + "* What unstructured meshes are and how they are different than structured grids\n", + "* Grid terminology and conventions\n", + "* Unstructured grid formats \n", "\n", "\n", "### Related Documentation\n", "\n", - "* [Links to Relevent Documentation](https://uxarray.readthedocs.io/en/latest/user-guide/data-structures.html)\n", + "* [UXarray Terminology Documentation](https://uxarray.readthedocs.io/en/latest/user-guide/terminology.html)\n", + "* [UXarray Conventions Documentation](https://uxarray.readthedocs.io/en/latest/user-guide/representation.html)\n", + "* [UXarray Supported Models and Grid Formats Documentation](https://uxarray.readthedocs.io/en/latest/user-guide/grid-formats.html)\n", "\n", "### Prerequisites\n", "\n", "| Concepts | Importance | Notes |\n", "| --- | --- | --- |\n", - "| [Link to Pre-Req](https://pandas.pydata.org/docs/user_guide/10min.html) | Necessary | |\n", + "| [CF Conventions](https://cfconventions.org/) | Necessary | |\n", + "| [UGRID Conventions](https://ugrid-conventions.github.io/ugrid-conventions/) | Helpful | |\n", + "| [Numpy](https://numpy.org/) | Helpful | |\n", + "| [Xarray](https://docs.xarray.dev/en/stable/) | Helpful | |\n", "\n", - "* **Time to learn**: x minutes\n", + "* **Time to learn**: 15 minutes\n", "-----\n", "\n" ] }, + { + "cell_type": "markdown", + "id": "b028cd75-5332-4482-b2ea-d5c6e2c988f7", + "metadata": { + "panel-layout": { + "height": 50.816, + "visible": true, + "width": 100 + } + }, + "source": [ + "## Structured vs Unstructured Grids" + ] + }, + { + "cell_type": "markdown", + "id": "5eb87890-358d-4563-a805-0b1b5ad6931d", + "metadata": { + "panel-layout": { + "height": 160.799, + "visible": true, + "width": 100 + } + }, + "source": [ + "Before diving into unstructured grids, it is helpful to understand the basic differences between structured and unstructured grids:\n", + "\n", + "* A structured grid is composed of grid cells (faces) that are well-organized in a predictable, grid-like topology, where simple indexing can be used to identify neighboring cells,\n", + "* An unstructured grid represents the globe as a tesselation of various polygons (e.g. triangles, hexagons, etc.) to represent complex geometries, allowing those elements to be joined in any manner, but requiring explicit information to identify neighboring elements such as cells and nodes (vertices).\n", + "\n", + "Note that the focus here is on the horizontally unstructured grids in the climate and weather context, which may or may not involve vertical levels, but the same concepts apply to three dimensional unstructured grids as well." + ] + }, + { + "cell_type": "markdown", + "id": "c1ad3ec9-eb8e-4b57-bb97-07690932bd7f", + "metadata": {}, + "source": [ + "Examples of structured grids (on left) and unstructured grids (center and right) can be seen below: " + ] + }, + { + "cell_type": "markdown", + "id": "ddeaad99-ed30-42ca-961e-9d9582299c56", + "metadata": {}, + "source": "\"Alt" + }, + { + "cell_type": "markdown", + "id": "cec26533-8913-47f0-b02c-b1e9824ea1b4", + "metadata": { + "panel-layout": { + "height": 44.0799, + "visible": true, + "width": 100 + } + }, + "source": [ + "### Structured Grids" + ] + }, + { + "cell_type": "markdown", + "id": "6fb5becb-3e2e-4571-b276-b958f138adf0", + "metadata": { + "panel-layout": { + "height": 196.788, + "visible": true, + "width": 100 + } + }, + "source": [ + "A few advantages of structured grids are:\n", + "- Uniform Representation: Simplifies numerical methods and enhances result interpretation.\n", + " \n", + "- Efficient Numerics: Well-suited for finite-difference schemes, ensuring computational efficiency.\n", + " \n", + "- Simplified Interpolation: Straightforward interpolation facilitates integration of observational data and model outputs.\n", + " \n", + "- Boundary Handling: Ideal for regular boundaries, easing implementation of boundary conditions.\n", + " \n", + "- Optimized Parallel Computing: Regular structure supports efficient parallel computing for scalability." + ] + }, + { + "cell_type": "markdown", + "id": "7dff95f3-9264-451c-a4ca-321f63e2f05c", + "metadata": { + "panel-layout": { + "height": 43.2118, + "visible": true, + "width": 100 + } + }, + "source": [ + "#### Sample Xarray Code to Generate a Basic Structured Grid" + ] + }, + { + "cell_type": "markdown", + "id": "163dcaef-7353-4bd8-815a-58cba735c697", + "metadata": { + "panel-layout": { + "height": 148.802, + "visible": true, + "width": 100 + } + }, + "source": [ + "The code below shows the creation of a structured grid example over 2D Earth geometry and plots random temperature data over it. There are several ways and tools to create a structured grid, but this code works as follows:\n", + "\n", + "Given the number of points in longitude and latitude directions, the code uses Numpy's meshgrid to generate a structured grid. The temperature data is then interpolated onto this grid, creating a smooth representation. Xarray is leveraged to organize the gridded data into a dataset, facilitating easy manipulation and visualization. The resulting plot showcases the data on this structured grid, providing a clearer understanding of temperature variations across defined longitude and latitude ranges. Plotting the structured grid and the temperature data is done using Matplotlib along with Cartopy, a cartographic plotting library. " + ] + }, { "cell_type": "code", - "execution_count": null, - "id": "32c2dcbc05cdcb84", + "execution_count": 1, + "id": "1b2487ab-b16c-47ee-9755-a1c331bc619d", + "metadata": { + "panel-layout": { + "height": 700.99, + "visible": true, + "width": 100 + } + }, + "outputs": [ + { + "data": { + "image/png": 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xMWb1AgMDmTRpEtOnTyc3N5eXX34ZBwcHzp8/T3JyMp988olpDmvWrGHBggWEhYUhlUpp0KABnp6etGvXjlmzZuHk5ERAQAD//vsva9asKfG56NevH0uXLqVz58688847NGrUCIVCwY0bN9ixYwc9evSgV69ehISEMHDgQL7++msUCgXt2rXj7NmzfPHFFwVMQoUhk8lYt24dHTt2pFGjRgwbNoxWrVrh5OREWloahw4d4tSpU0VuF34QUqmU6dOn8/rrr9OrVy+GDRtGWloaU6dOLdSsURS5ubkcPHiw0GN34pds376dWbNmMWXKFNO26lmzZvHee+/RqlUrevXqBRgFviVLllC9enVq167NsWPH+PzzzyvMXOfq6kqbNm2YMmWKaffNxYsXH7gt+IcffuD555+nY8eODB48GB8fH1JSUrhw4QLHjx9n9erVFTJfkccQicT4KUv7ZwBRKBEpVyZPnsz69ev56quviIuLIz8/Hy8vL9q1a8fEiRPNHoyffPIJcXFxDBs2jMzMTAICAh7on2Bvb8/WrVsZM2YMAwcOxNHRkddff53nn3+e119/3azutGnTCAoK4ttvv2XAgAHI5XKCgoIYPXq0qc4777zDuXPnmDRpEunp6QiCYNIG/Pbbb7z99ttMmDABvV5Pt27dWL58eYn9ImQyGRs2bOCbb77ht99+Y9asWcjlcnx9fQkPDzcTwH7++Wc8PDxYsmQJ8+bNo27duvz555/069evRGMFBQVx8uRJvv/+e9auXctPP/1ETk4Ozs7O1KlThxkzZpRp++kdR9PPPvuM3r17m4S+Xbt2lTis+rVr12jatGmhx7RaLUlJSQwcOJBWrVrx0UcfmY6NGzeOXbt2MWTIEOrVq0dgYKDJiXfWrFlkZWVRv3591qxZw+TJky1eY3F0796dGjVqMHnyZKKjo6lSpQpLly7lpZdeKrZd69atOXz4MDNmzGDMmDGkpqbi4uJCaGgoffv2rZC5iog8yUiEe/WxIiIiIiJmSCQSRo4cyXffffeopyLyBJKRkYGDgwMXRvTCTlUwZlNJyczXEvLDWtLT00ukQX1SETUlIiIiIiIiFYwYZr5kPBurFBEREREREXnsETUlIiIiIsUgWrhFygMxTknJEIUSERERERGRCkY035QMUSgRERERERGpYCTSsmk7JM+GTCL6lIiIiIiIiIg8HoiaEhERERERkQpG9CkpGaJQIiIiIiIiUtFIpcZPWdo/AzwbqxQRERERERF57HkshZLdu3fTrVs3vL29kUgkrFu3zux4VlYWo0aNwtfXF7VaTUhISIHEa/n5+bz99tu4urpiY2ND9+7duXHjhlmdAwcOULduXQICAvjxxx8relmFUtxatVotEyZMoFatWtjY2ODt7c0rr7zCzZs3zfooy1qbNGnCm2++aVZ3wYIFSCQSfv75Z7PyoUOH0qxZs3Ja+YOJjY1l4MCBuLi4YG1tTd26dTl27JjpuCAITJ06FW9vb9RqNa1ateLcuXNmfURERNC8eXN8fX2ZNm2aqbxfv348//zzZnW3bNmCRCJhypQpZuXTp083SyT4uDN//nwqVaqElZUVYWFh7Nmzx3QsPj6e559/Hm9vb9566y0MBsMjnKnlVOS1AcbcSRKJpMBn9uzZD2V9hfGo7xVAoedEIpE8MAdQRfMkPDOKOnel+TwLPJZCSXZ2NnXq1CkyrPPYsWPZunUrv//+OxcuXGDs2LG8/fbbrF+/3lRnzJgxrF27lhUrVrB3716ysrLo2rUrer3eVGfIkCFMmTKF5cuX89lnnxEdHV3ha7uf4taak5PD8ePHmTJlCsePH2fNmjVcunSJ7t27m9Ury1pbt27Njh07zPrbuXMnfn5+hZa3bt26vJZeLKmpqTRv3hyFQsGWLVs4f/48c+fONUtLP2fOHL788ku+++47jhw5gqenJ+3btyczM9NUZ+TIkQwaNIj169fz119/sW/fPsC47r1795pl4X0c1l1WVq5cyZgxY/jwww85ceIEzz33HM8//7zp+548eTINGzZky5YtXL9+neXLlz/iGZeeir427jBt2jTi4uLMPm+//fbDWmYBHvW94g6LFy8ucF569uxZIWsuKU/CM0PMElxChMccQFi7dq1ZWY0aNYRp06aZldWvX1+YPHmyIAiCkJaWJigUCmHFihWm47GxsYJUKhW2bt1qKvP39xeuXbsmZGVlCQ0aNBDOnTtXcQspAYWt9X4OHz4sAEJUVJQgCGVf67Zt2wRAuHnzpqmuh4eHMH/+fMHHx8dUFh0dLQDC9u3by2OpD2TChAlCixYtijxuMBgET09PYfbs2aayvLw8wcHBQVi4cKGpLCwsTDh48KCg0WiE7t27C5s2bRIEQRAiIiIEQDhw4ICpbqNGjYTvv/9eUCqVQnZ2tiAIgpCfny+o1Wrhxx9/LO8lVgiNGjUS3njjDbOy6tWrCx988IEgCILwwgsvCCtWrBD0er3w1ltvCd9///2jmGaZqOhrQxAEISAgQPjqq68qZP7lwaO4V5R03EfN4/bMSE9PFwDh2viBQtKUIRZ/ro0fKABCenp6Gc7O488TKXq1aNGCDRs2EBsbiyAI7Nixg0uXLtGxY0cAjh07hlarpUOHDqY23t7e1KxZk/3795vKPvroI0JCQnBwcKBJkyaEhoY+9LWUlvT0dCQSiemtsKxrvfPGeSfT6/nz58nNzWXIkCFkZGRw+fJlAHbs2IFSqXxo5psNGzbQoEED+vTpg7u7O/Xq1TNTl0ZGRhIfH2+2bpVKRXh4uNm6p02bRvv27bG2tkYqlZqukWrVquHt7W3SimRmZnL8+HH69OlDlSpVTG/NBw8eJDc394nQlGg0Go4dO2Z2TgA6dOhgOicffPABo0ePRqVSceLECV555ZVHMdUyUdHXxtNCed8rnmQeh2fGnd03ZfmUhlmzZtGwYUPs7Oxwd3enZ8+eREREmNUpiVnrYfNECiXz5s0jNDQUX19flEolnTp1Yv78+bRo0QIw2s2VSiVOTk5m7Tw8PIiPjzf9PXToUG7dukVSUhLffvvtQ12DJeTl5fHBBx/Qv39/U5bIsq7VxsaGhg0bmoSSnTt30qJFC1QqFc2bNzcrb9y4MdbW1hW7yNtcu3aNBQsWEBQUxLZt23jjjTcYPXo0v/76K4BpbR4eHmbt7l93586dSUpK4ubNm6xduxaZTGY61qpVK9P69uzZQ7Vq1XBzcyM8PNxs3X5+flSpUqUCV1s+JCcno9friz0nDRo0IDY2lpiYGPbv34+tre2jmGqZeBjXBsCECROwtbU1+9y5Lh53KuJecYeXX365wHm5du1axS6ojDwWzwyJ9O4OHEs+pYyetmvXLkaOHMnBgwfZvn07Op2ODh06kJ2dbapTErPWw+aJ3BI8b948Dh48yIYNGwgICGD37t289dZbeHl50a5duyLbCYJQwFnIxsYGGxubip5ymdFqtfTr1w+DwcD8+fMfWL80a23dujWrV68GjA/hVq1aAZgezsOGDWPnzp0P9a3aYDDQoEEDZs6cCUC9evU4d+4cCxYsMJvH/WssbN0qlQo3N7cCY7Ru3ZoxY8ag1WoLrPvODWfnzp20adOmPJdW4TzonMjlcjw9PR/2tMqNh3FtALz//vsMHjzYrMzHx6ccVlCxVOS9AuCrr74qcJ/18/OzfMIPgWfxmbF161azvxcvXoy7uzvHjh2jZcuWgNFx99VXXzXd+4YPH84PP/zA0aNH6dGjx8OeMvAEakpyc3OZNGkSX375Jd26daN27dqMGjWKl156iS+++AIAT09PNBoNqampZm0TExMLvD09CWi1Wvr27UtkZCTbt283vflA+ay1devWXLp0idjYWHbt2kV4eDhwVyiJjo4mMjLyoZowvLy8CqhGQ0JCTI5ldx6q977FQOnXnZ2dzZEjR9ixY4fZuo8cOUJKSgoHDhx4Ikw3AK6urshksjKdkyeBh3FtgPF8Vq1a1eyjVqvLOPuKpaLvFXf6uf+8KBSKcltDefPYPDPKarq5bb7JyMgw++Tn55do+PT0dACcnZ1NZQ8yaz0KnjihRKvVotVqkd7niSyTyUzbG8PCwlAoFGzfvt10PC4ujrNnzz7ULa3lwZ2bzOXLl/nnn39wcXExO14ea23WrBkqlYr58+eTm5tLWFgYYFT1p6en88MPP2BlZUWTJk3Kb2EPoHnz5gXsn5cuXSIgIACASpUq4enpabZujUbDrl27SrzuKlWq4Ofnx4YNGzh58qRJKPHy8iIwMJC5c+eSl5f3xAglSqWSsLAws3MCsH379ifuui+Oh3FtPIk8jHvFk8jj8syQSKRl/oBRK+Xg4GD6zJo164FjC4LAuHHjaNGiBTVr1jSVP8is9Sh4LM03WVlZXLlyxfR3ZGQkJ0+exNnZGX9/f8LDw3n//fdRq9UEBASwa9cufv31V7788ksAHBwcGDp0KO+++y4uLi44Ozvz3nvvUatWrWJVdY+C4tbq7e3Niy++yPHjx9m4cSN6vd709ufs7IxSqSyXtarVaho3bsy3335L8+bNTbZ1hUJB06ZN+fbbb02Cy8Ni7NixNGvWjJkzZ9K3b18OHz7MokWLWLRoEWBUzY8ZM4aZM2cSFBREUFAQM2fOxNramv79+5d4nNatWzN//nyqVq1q9kZ0x4RTuXJl/P39y319FcW4ceMYNGgQDRo0oGnTpixatIjo6GjeeOONRz21cuNhXRuZmZkFtC3W1tZm2oeHyeNwrwBIS0srcF7s7OweqUnjiXhm3KPtsLg9EBMTY3YNluS+PGrUKE6fPs3evXvNyi01a1Uoj2jXT7Hs2LFDAAp8Xn31VUEQBCEuLk4YPHiw4O3tLVhZWQnBwcHC3LlzBYPBYOojNzdXGDVqlODs7Cyo1Wqha9euQnR09CNaUdEUt9bIyMhCjwHCjh07TH2Ux1o//vhjATDbRikIgjB9+nQBEKZPn14eyy0Vf/31l1CzZk1BpVIJ1atXFxYtWmR23GAwCB9//LHg6ekpqFQqoWXLlsKZM2dKNcbixYsFoMA22t9++00AhKFDh5Z5HQ+b77//XggICBCUSqVQv359YdeuXY96SuVORV8bAQEBhf7uRowYUd5LKTGPw72iqDFmzZpVASsuOY/zM+POluDrHw0VUma+afHn+kdDLdoSPGrUKMHX11e4du2aWXlOTo6gUCiEjRs3mpUPHTpU6NixY5nXbSkSQRCEcpd0RERERERERMjIyMDBwYGoqcOwt1Ja3k+ehoCpP5Kenl4ibZ0gCLz99tusXbuWnTt3EhQUVOi8Nm/ebBbdesSIEURGRvL3339bPNey8Fiab0RERERERJ4mHnaW4JEjR7Js2TLWr1+PnZ2dyeTm4OCAWq3G3t7+gWatR4GoKREREREREakg7mgkoqcNL7OmxP+jRSXWlBSVK2fx4sWmre7x8fFMnDiRv//+m5SUFAICAhg+fDhjx459ZLl2RE2JiIiIiIhIRSORlDoAWoH2paAk+gZPT08WL15s6YwqBFEoERERERERqWAetvnmSeWJi1MiIiIiIiIi8nQiakpEREREREQqmjs5bMrS/hlAFEpEREREREQqGIlEUibn0UflePqweeqEkry8PDQazaOehoiIiIjIE4BSqcTKyupRT0PkNk+VUJKXl4ebuy9Zmbce9VRERERERJ4APD09iYyMrHjBRFJG801Zdu48QTxVQolGoyEr8xbPv/ovyBwKHJ87UmtRv0sOVy11m9HVdlg0lva/zRa1U7o4mf6vk8jY51Gf5gnHkQv6Itt8nD3GorGGd82xqN2BKO9St+mn/9WisS4EdsWg1xN/5TCeVRshvZ3P50GcvuH84Er3UWduh1K3AQj89EOL2o1ZValU9eUyPb0an6fptd3IbicgKynHF+wpVf07rBi03qJ2X7XeX+o2Qgm/WwCdAfamyGjhrGfW6TalHgvgzXbxD650H85//8+isfTNn39wpUKInT672OMGhZLoAa/jv/QnpFqjZjmgfX2Lxtpca5pF7brINpW6Tc7WjRaN9Xbqu4WWq+TZrFsUjkajqXChRNx9UzKeKqHkDgqlLchsC5Tb2VomlKjUpU/AZW9rbdFYWguD6yjVd5My6SQyY+IwtapYoUSptyyxmK1dyR8C96K2seA86i1LFW9ra49Br8Pa2hpbWzukspJd6pbM0VZu2c/I3tayBGYKlV2p6stleqytrbGzUiE3FH09FIaN1LLvWlnKOd7B3qb0v5vSCiXWeTLsbfQW/a4B7OyySt3G3sqyZJZ6C6+RdEXx16RBITf+NhRypBgFVXu1ZXO0tuA3A2AvK/13LVNZdn9UKAs+DwAU8of4oJdIyxin5NnQlDwbqxQRERERERF57HkqNSUiIiIiIiKPFVKJ8VOW9s8Az5RQMu+/Kha1G9g2rdRtZHHZFo21pN5Ci9o1mdXU9H+DUgnvNCRi5W6kxexEmlj3ikVjHU9dYVE7uQWWgGT/xhaNNf3rZBQyPQPbwZz5t9DqSzb477U/L/VYc175r9RtACZd+tqidi+/FF66BgYtxJ9BFRyCXFK6VFfrxn1aurFuk3Et0aJ2s6/1KHWbCdVK4Yd1574ukTIl/GSpxwKwir1R+kYOlpk49jR7w6J2ayfvK/a4XKqjEwdZ2PhXdAbjY0CWZZni/Oubcy1qty9kVKnb1NT9adFYRfEwE79JJFIkZTDBlKXtk8RTKZQMG+yDrX1Bh8XNex/BZEQeiFaTR05WGpr8XAx6HQaDHqlUhtrGgUhtFBmZWWg0GlQqJUqlEpVSiUqlQqlUoFKpUClVKBTyCtvHn5Wn4XJCClq9HplUikwqIUejZXdEFLFpmRwzxKDX5aPT5iORSJBK5UjlCuO/MjlSqez2v3JkciV2jl44uAZy0ieWADcnnCz0PxIRESkZY0f6F1qelprKH9895MmIFMtTKZSIPD7odFoy0pK5lRjL0UMHSIi9jJXaFg+fIPZuXUzs9bPkZmeUeRy5XI6drS0ODvZIJVLUXi8REvYqYExMpdPmoNfmImCA24mqVGoXJFIZ+Tm3SEs6CxIJUT5p+Dk5kJCRxTvLtnExLpnI5LRCx3RUq6ji7kya6jpyuRKZ3OgoqDXkYNDryEy9iSY/G50mF502D63GfNfSH/f1F+juzLHPx2JtoTOfiIjIY4xovikRolAiUi7o9Xp0Wg2CYGD1/2byx5LPCtSRK1R4+lUjNzuDWwlRBFQLo0v/STi4eGFj64TSyhqZTI5EKkOrySM/N4vnAlKws7NFpVKh0WjIz89Ho9GSl5/P6bPn+OIb42uOTqcjNS2N1LQ0ACRRX5BwdS0D281h8+JG5OYUNKcprRyRKWzIzYw1ldXcBCq5jHyd+S6VHRNewVqhQGcwoDcIyGUSQrzckMukzFF/UqDvyPM7+H1Op1Kdw+uJKSzYtp88jZakjGxuZWaTnJGNzmDA0VqNg40Vno721B8zDGtby8wBIo8vhtvXlsISO6fIY49EKkVShjglZWn7JCEKJSIWIwgCh3f/xcz3ehdZx9bembqN21E5uC4OHjWQymQY9DrycrOwtXfBt3JtnFyLjl/SzOdsgbJjJ05y/NQpk0ByBxsba7Kzc27PTY9HJWMcilrNJ6IX1MjkapNdVhD0pCWeQa/X4OReC0f3WkiQ8KbTD1xJSOHA1RusPX7R1Hd9fy+kpXhTCQh+joZt3yTp5gWUVnaorOxQqKzJz8skKzWOzLSbuEjTuByXbNbuk5V/42pvg6udDQq5jAs3EsjVmG9l7yCbwJsTF5R4LuWNXq8lNzORnMwkcrISkclU2Dn7kXTjFBKJFBt7T3IylKjtvMrVDp6dkcRfPw8nPSUGG3s3PHxrGctSDpKv0TJleH+6hzcpt/EqEp1ez7HIm+y+GMnhqzc4E5NAfFomUomExlX9aFOjCgOb13nU0xQReeiIQomIxfzw2dts+fOuY+6bE+cjlcrYsek3Is4cQK/Xk5WRwt7tq9i7fVWhfchkcn7cXnj8GEEQyNdouHDxEjE3bnArJYUNm7dx5NhxbG0Kxm94uc8LhARXw9XFmZWHmmCtVgOX8A/uXaijq1eldgXK2teoTPsalXmzTYMSnoXCkcrkdBr0dbF1Jll9zfFrN1h/+CzP1w9BKpEQPuV74lIziEu9a9JytbOhhr8nNfw8CfZ2w6b35DLN7UEkpWey7ehZohJu8c+lXTi4VsbG3pOoC9vRanKIifi3xH3JFTZ0HX6iXOaVkXKDy6fuOrVGnjN3MJ783S9PjFAyftlWfvjvCADONmqGtm6At5Md+Vo9ey5eZ85fu/l03Q6aYsMguSs+UtGk98QjkRg/ZWn/DCAKJc8ocXn57I+Iwk6pwM/OmhBXR9Ox9HwNNX/aAEBzHzf87G0IcLAl1MWB1gGenDy0nbiYqwWipC6Y9RbjZ69k1o87MRgMpCbHEX/jKgs/f4foK2dM9arWaIadoxsuHgG06lZwd8GQNoX/+ORyGYH+/gx46UWkUhm/LV9pdnzMyDdwsDeaNdacUAKlCxT2KKhf2Zf6lX0BSM/JNTs2rF0TRnVuQZCXq5kT71Z3nwqd04xlm/hh0y4AXL1rcen4agSDHlfvWti7BGDn5EdmakyJ+tJpLduFVhge/rUZ+3UUF4+v59Te37B39sXTvy7j20jxdHGiso9nuY1V0bzzfDM0ej1HrsVy8WYS/527St0AL3yc7OlSL5gu9YJZ+O9h9kTHk2DQckvQIZWAp0RBiFRNDak1YVLrZyZJ21OBVFLGLMHPxnctCiXPAAZBQCcIKKVSBEHgt9g4vosyf6hs79ee6i7G0Pz7btzdzrkvNglik0x/2ysVYLObjNS7ZQFVaxF1W+j4Yc7b/LX8G1RqG7T5edy4HkF6qvn20NGfbsDWwaXAPAVB4MQ+8/DkX87+lF+XreTk6TPodHquXIskKiYGH29vWrZohr+vL/6+PoQ/19wkkDypOFir8XS0I9TPg6VjBuJoY1k027Iy6eXO7Dh1kUs3EpAr1DR5fgpO7tUICOmAVCZHr8vn9J5F7N84xaydQmmDo3tVXDxr4OzdHhuHAGzsfcttXlKpDFtHTxq0GUGDNiNM5S1LsyX4MSHA1YnvBncnKy+fFQdOc+ByDEeuxbIh7SJJGeaC3CUhz/gfAZIEHWcMuUAK81QBVJGIieREni5EoeQpIzFfw65bqTQHuh89SX5uLuk6HSqplH8bh3E6I7OAQALgbn03xHTHSj4MqV2VI3HJtPB150ZmDueS07iWlkWGRsurI8axfunXpKUkAJgEEr/KNQgKDSM/NweDYEAqkSIIBXOtRJzaRVjLu34oOp2WFd+P5b/13wNg7+SBX5U6tOkxkj69KrNqzTqz9lqtjutR0VyPigbg1x8XEFo9uEzn7VFjMBi4Gn+L+LRM4tMyuXQziUZBhW9jrGjcHe05/v1HbDp8mnErz3Ng01QAGrR/n+oN+rNlyUBuxZ0jqF4fPALC2LvuAwC0mmySbpwi6cYpeo6c+kjmbik6nY5rMbGkpqWTm6+haf3aqJQVbzKxtVLxeuuGvN66oalMo9ORlafh551Hmfqn0URlixQtAhoEU2yN0flRfKb0I0hqhRYBCSBBgppn4436iUM035QIUSh5SsjU6eh59CSZej1qtZrmt8tydToA8g0GRp69gLtKSWsXJwwCVPd343jCLY7E3aLO/zYyqGZlulX1RSqRMKlZLVQyGal5GuYcPEs9D2eUMhmRaZn88u1EAqrUNAkld4i5do6Ya+cAsHd0JTcnC63G+JantrHDztGDxNgrbF4+m3/WzkOltsXZzRe1jYNJIAEYMXk5IfVa3/7rLKt/W0xOTg7B9QoPpLZ1+z9cj4pCp9ej1xtQKhRcP2+Do7MPUPoEew+bXI0W51fM/US+3byH394Z8IhmBDKZlO5N67Lb+TP+Wf4GEUdXcHT75xzd/jlSqZxuw9fgF9QKQTBgpXYkNzsZrSYHF88QnD1Dyc58ZFMvkoSUNE5dikRauT6TvltMclY+GVnZ3EpN48gpc4fqKgF+HFz/O9IK3vGQnpPHjvPXyM7XkKfR4WhjhZVCzr5L0ZyMiqOGxIpzQh5SJITL7AiUqlirSyFJMP6uJ2gKvmDYIsVxSV88ApoQ3GAA1nYeFbqGrLx89l+MJCk9izytDrlMipVSQSV3F6p6ueIsxuEBxN03JUUUSp4S1FIpmXpzH4oqNtYgk3E2y5hALDYvn1OZd5OJ7UpJNav/29lr/Hb2GgDjGoYytlEoESnp/H7umqnOqLDqXA1sxZY/F9I4vAcxkRdIS0lAMBjIzTE+iRq36sGhnUYzjLWNvSkZXkZqIgqlFdcvH0e4JzGcVCbHzasydZt1p3rd1gTXKRix1Nramsunj/Lfzt2s27iZvfsPknl7XSv/XIdCoUAmlSKVStFoteTn56NWq+HV5ez64wV8Q17Bv3rRu4QeJVYKORN7t2XWGqMD6dzB3XmjQ9MHtHp4tHt5IW37LSAt8TJZ6XHYuwTg4BIIgAQpwQ36FWiTnWlZRNfy5NqNODbvPcL+0xc4cvYScckpqNVqli9fzuL128nNzS2y7UvdOpWbQGIwGNh7MZKUrFxORsWx5+J1rienkpWnISvvbsRlicQUQgdvJzsaVvZFIlXQGRUDFK44Soy/ox5yY0ZwvSCwSncLe4kMe4kcBAEDECto+OtWJDcu/8flE8vpO+5IuayjMHTaPGqMnk1ievFJCtvWCsLP1YljV2NoFlIJL0d7MkNscXBypWmrLo/QN+YhxnQVE/KViKdSKPG0SsZBrStQPvbyRIv6syOg1G0WB8yyaKygl0NKVf+cLoeT+hxu1vPg9VpVydZp8XQw+oaMa1qDj3ceNdVN1pY8S/J+t2HctO6NLiCP4LA5RF3cQF52Et8duwjHLmKlkJMasZeb8bdMbeoHenH8ehyRx//Bz9mBmJR0cooNjCYBBAx6HUlx18jKbc+p446cOn7QVCOx/327KbzqET7sHVoM0aHX5iNTqJAVkgG4fa0koiOvQH4yWenXObFjIkL6WmZ99QOeXkU7imb/VPoQ4pPC5pW6DQB64w1RArSrFWQSSo5diUHaoRkYCr9hdkpZUqphdIKEf3HhUtXuJc6WfIeYjfH3/GUPEnsyUiAjJb7INgA/2E4v1Th36PfXyFK3afphF7O/BUEg4sxhxg3uBUCtsJY4+4WSmX8WvS4fABtbe+pU8qG6vxdBvp4E+XhSxdudSl5uqO8Er4u7XOh46X61Szy3uIRE2vZ+mZS0dAAcnNyo3SCctm1DUNvYYW1tR836LfDwDkSuUJKSHIdOq8Xdyx+JREL48eLPY9vb/97KymHcsq2cu5HIzdQsMlKMv8sqdV4s8VzffbH0QQzj4+P5eYpRIPHyr4ZepyUp7jqCYH7tXsiQ8u+ZwwCciY67XboVgBY9/8DepWTm136v/FbqOQI0UUcVWm4df63QcpFHx1MplDxLfJ4XR4KghUPJeNuq0egNaKRJhAMj/zli9jb4Ws3KZGt1rIow+mI4edTExase9i5VUajs0eZnkRJ/irSkC8Rc2oLSygHvKm2p1+Yj7F2DuXB4AQgCoc46bqSkE+LthpudNQeu3MAgCBy/brzZJN521Av1cSMlK5fMvHy0OgMavR6F0hGp3ArBoEOvy0UqVSEIOuRKey4e/QS50gFnj8Y4ezZHoSzacVUmkxcqjNxBKpXiH1iZmIhktu05zf49O/jmi+m82rcz8xYtJTikZjmc/bIhCAL/nrlMTr6Wl766e7PVGQr64YiUDL1eT7eGRgdhlZWaASM+Ijb6MtvW/g9v/6q0bGcUVP638Qrt01aX27inz19k9jfziY2LJyMzC7lcjkIu59ptvyepVMrS7Tewd3QpVivg4lZ0zJ7imPf3Qf44fM6sTCKVk5pwkY0/dgMEFEpbFCpb7JwCqNfS6CgsCAKpCRc5sOlDonercXJyQi5XYGVlRYsWz9GocRMUCkWR43p6evLrf5mcPLiVUwe3kZYST+LNSNPxSsH1aNN1KK26voZOp+HahaNEXjpBVkYKp07E4+bbvMQCyROPpIwRXUWfEpHHnWxBb/oCl3dtQTMfNwDypTLOA028XNlx7a7NefFt04ytQo6TlRKFR030ujyunPydjFvmb4VpiefITL2Om28jdqweSErcSQACQnqSmLSTm2mZrL8dXKxjraq80qIeszfu5kyM0c9EKZORna8hMSObOv6enIgyCixaTRoSnRJrO39sHKqSmmDUiui0GeRlG7UUSTe2A9Dk+b/K5TzZ2NjQsUtPwho1ZfTwAfTr0YbZXy2iY5ee5dK/JWTnaXhv8VqW3KPJAlg3/jU61Kn2iGb1ZHP14gk+fe8l098j3v+K3+Z/TF5eDm9/OJ+OvYYgQY/2xnZksqJV4Rqtjldn/8DWw6exU1vh5eJISIAP894exLRf13IuaRELPp+BVColPjEJjUbD0j/W8d+e/bzWvw9ODo7o9Tp0ej1WKhU6nQ7/pq/h4ORaYWuf3D2cnmEhxNxK5+LNJNal1uX8gR/JyUzAzskPiUSKNj+LrLQbXDuzjktHFtFz+XJ+/bQKuTnGgIOVvZ4j9sYN9AY9aalp/PzTIvz9A1i7/i/s7Ip+QVBZWdO4VW+8/YOZ/W5Xs2ORESc4570Tg2DA1t4JW3sXQuq2xM7BhVxJGjL5s7N7SEzIVzKeSqFk7549hIU1wNPLq0L6T8vJwyAIOD+iLZt3+DAnhlhBS3+lC6G3t/PqDQJT9p3i5Y4DOXg7WmgTL1faB3iRodHyzfGLtAnwxNlKyeqovQgGA25+jU1CiV9wN/Jzk0mMPkCVOi+j1WSbBBIAO+fK/DbQm5FL/mL/5RjsrVRsP3uFf85dxUouZ2h4GJ1qV2X3xess2XOC45++RZCnC3GpmYTN3olK7U5QvQnIZMbdPok3/uHikY9N/cvk1hgMWgSDloNbepIS146mnd5Cr9PgW7kBjm6W70hxdfPg1ddH8cHY4UydNIbASlUIDq1lcX+WYjAYmLxss5lA0qFONdZPGPLQ5/K0cGjXRj4Za/QZmrt4N97+VXi5rQ+1G4Tz3qdLcL0d2+VeX6bCuBqbwKSfV7Pl0CmmvNITvd7A/HX/cPpaDJdj4zl+6ToAIc3aIpFICpgp9h48yp6NBTUwx/NKbvKxBIVcRr0AL+oFeNG9fnViE94hrN1EpNKCQQNv3TxDbrpRm9Gk83Ryc3KxdfRj/rS7vlyCIDDxg/dZ8+cfbPxrAy/3H8jx48f4a8N6wsLCcHJ2IfLaNVQqFTrnptyKj2be1IEA1G3SCa02n6yMVHKzM7l4ei9H925ApzXPWC5X2hHc4B28KnVAaeVUgWencPR6PfFJSQ+uKPJQeSqFkokfvE9eXh4//byEluGtLO5HEARScvM5dvE6B67c4EZqBvHpWfx34To6gwEXWzUtqwVgZ2W0QXeoUZlgL1ey87VkOiRi6+BW7g5cekEgQdDiIVFQXaYmwpDHMs0t/vx9C1Wd7LialoVEoeTle9ocjEvmYFwy37RpwP86NcXTxgpfO2vynp9vquPiVZfr59dSt9UkbOy92bdhJBcOzUeChI6vbCYjNZKbV//hwqHvqbfPaJeXSiVk5OXj42SPXCYlNiWDracvMyS8PtW8XMnM01D3w+8Z36UFH/duQ53nCqbjdPVuRVC9D1Ao7LC2r4Ta1ih05GXHkhK/n8un5nHp5DYAFEo1dZ/rj6d/LTz8Qgms/hxyRem2bV48b9y+nJebQ7+eRot8wyYt+Gbhb6itC0aJrQhWHzjFwm3G1PLVvNy4FJfE36cuodPrkcue3LwngiAQd20bkeeW0V0SiVQCSdl5pObmE+LmRCMfN2q4O9Gusg9W5ZzfRau7+8Cb/u6LdH3pTQBOH93FsJ6hzF95HC+/KsX28dXqrUz6aRUeTvb89P7r9G3VGEEQ+OEv47bcOwLJHYb070vPzh1QKpUkJt/ig09mUT2o+DEeJoUJJAAu3rWQ+4YABwkOG4DOcOcxcNdZVSKR0Pell1nz5x/MnDGdf7b/zfHjx1AqVSz9/VcAFAoFer0ew33mxheGTKFaTXNfMEEQyM/LISv9FlkZKWRlpPDzN99wbv+nnNs/A0e3Wtg5BaHT5aDX5aLX5qDX5aFQ2aNUu+AZ2A53v4IO8JaSnJxE+7atcHOpOO1VAcSEfCXiqRRKfH39qFKlKnXq1rO4j61XbjBjz0muphp3lDjZWFHZ1QkblYLP+rTFzc6GXRFRbD93FTc7G45FxfHr/tP39PALahsHbB3cUaltcXTxQZOfg06bj2/lunj6h+LiEYiLRyVcvCqjUNyNE5Ip6Ik1aLCVyLhhyOeELocoQz45ggFriZRT+hw8JQr6q1wZKHHlgj4XN38HbmRmE+7rTnhlPwD6BPvz68kIU7/v/GduKug6LBpbR6MQUK3+YKrVH2w6Vif8A47+PYmTu2Zi0Gtul00ktPFIHC6M4VL8LZQyOadi4pjbvxNd6gYTk5JO6IR5NJ/2I5veG2Tqa86mvSz87wha+a9IALnCDrnSAaXaDVv7qoCezLSLxF77A0e3+tjYV8XFqwU+VfvSa9hb5OdlYmvvzoGt33PxxBaO7/oNvU6Dg4svL7+zlMCQFiX+Xt95fwoaTT7LfllkKjtycC+vvtSZVX/tKnE/lnI9MYXB85aZ/r4Ud/dNLS07D1f7hyMYlRVtfgY3Lv9FSsJJ0pPOoclLBSRo8lJw9W5MJUc7dAYD9TxdsVMpOHQjka8PGrfdKmVSPu/QmC5Bftgoi/ZXKA0t2vbm5/UXuHrpFCt+msW6pXedj/Pzcjl1ZCdeflWIunIObyvYvW0VUvkF/NycqeTlhlQq5Uqs0Xl397wp+Lsbg/tJJBKWTn6LtuOMjutSqYRFX84mISmZl3p2NUt30P6/TeWylseF+vXDOHbiNKtWrmD//n0891w4sz77nOzsbHJzcvDx9UWv17HlWC42to44uXqTn5eNta1Dgb4kEglWahus1Da4ehrvOXVbeRLS6F0Sb+whKWYPGSkRyBXWyBTWKNUuyGQqtJoMUuKPEnt5PTWbf0zCDTW3EmPQ67VIJFIcXbywc3BFk5+DIAi4e1cm4tQeNvw+A7WNA/aO7jg4e3DKKZP8/HysrKyoUqUqvr6+eHp6ISkkjlKFIe6+KRFPpVDy8SfTaNy4dFsqk3Py2HQ5hjydnispGSw9c5UmPm5MaF6bevVDqObhUiAhW6+w6qb/Z+blE5WcTlpuHrYqJb9Iu5EYe4mczBRyczJIS47B1t4ViVRGxKl/2bvlBwx64w4hpcqakLCO+FauR2xONKf0OWYb1TwlCqrIrJAjIcaQTxeFIymCji/z4u5WisxGIZVwKSWT3QlpLB8NESkZ1HV34mSi+dZfgGG1qxJr0JESfxpNfga5WYkkRh8kKy0SbX4Wds5VcPNrjF6XR9INo9d87JXtnNpVcFdRv+9X0aCSNyvfvrs1tMsXv1HN0wUPB1vCQyqhlMn47J8bZKdHcGfXzV2kKFSOqNRu3LiyEr3W+MbWoO1SnN0bmsLZdxowk04DZqLX6zjyz4+s+2kU/5vRmXfmnsTFo3IJvmUjrm7uANjZO5CZYdwVcTniAtpS7E6yBEEQitw6ue/TUU+EQJKTeZNrZ34h6sJqBL0WB7dQXH2aYGXjjkGvwdW7Ea4+Tfjmvt03OoOBl//4j73RCWj0Bt7ZcoAJ2w9T2ckOV2sr3GysCPNyJU8Rh5VNQbOrQZ+PRKosVvPo6VsZJBJ6DXgHpcqK5m17IwgCOo2Gq5dOsu/ftcyfNZLF//uJeZ++xWe3ncCdbG14rk4wibfzDQUPep/v3nmFIc+HI5FIcLW3vTsPg4CjvT1dO7QtdA5PG3Z29gx9fThDXx9uKrO5RxCTy+UEVA0y/V2YQFIcKmtX/Kr1wq9aryLr5GUn8N+Kdpzd9wnv7yuYkfteQuq24sLJnQB4+FRFqVKTnpqAFC0qpYrs7GyysjJvr8OWnp07c+WauAPnceKpFEqGDX0NhULBqLffoUePXji7FAxpfi+CINB52d/cuL1rxMNGzTuNa/B2o1CsFXLsvB6s4rOzUlHT193096mA4mNiGPR60m7FcishkusXD3Lm0F/s3vgd3oKB0SpPqsqsyBH0OEvl+EgKvxlH6/Oxlkg5p8+lZttKNPBwRi6VciLV+OCr7GDHxbw8HJRy0jXmW6R/PH0FTrcu0Ocd0pIuEHtlm0lL4l+9B9XqD+bKyd+IjViHVn/3DcPd3oajkTfJyM0j4fsPuJqYQrNPFnEp/haX4m+xJyKKc7Pf5rPt17F3rkXd8IUY9PnER23kyqkv8a78AlXrjDH1t3ttcwCO/juA84dHU6NRT9q+MNnkTyKTyVn30ygANPnZ7F7/BZVCWlApNBwHlwfnhRk05C2qh9ZizBuvmMpefPnVYncZlAaDwcB/Zy6z7WQEeRot8WmZxCSnEp2USmp2LtYqBW1qBdG5XnW6hoXids9D73ElPfkCV07+xM2rW5Erbalc6xUq1RyIlXXJ1N9yqZTVfdsRm5GNg5WS1Nx8Nl6KJjo9i+ScfKLSslh/MQqd4QVs7Kvg4tUcz8CuqG19yUg5z4kdrwNgbReAUu1O9bAPUapdycmIZOOqo5w7sZezJ/ZxKzH27pgKJQqlCq0m3+TPoFYb/cDe/XQx/ZwiiYxP4vCFa2w7eobDF66a2o765lf83V1p36AmNmorrJQK8m5na5674EdaNLkbgVWkYrGy8aDdwL2kJZ6mTYequHoFolBaodNqSLsVR1bGLVRWNmRl3GLj0rsvTW99vIJKwWEANPExbgkWBIGEhASuXL7EyZMnyExOLnTMCkGM6FoinkqhpHuPXpw+dZIvPv+Mz+fMplq1YDp2ep7giGjslHKquTrgY2f+VjqsfjV+OXWF62lZGASBAAdbNHoD1uXznCqAVCbD2d0fZ3d/gmqF077PBACqvFTyOCX+t51Fw6UKQu8RiMI8XTgNzGhZF5nOeCM9m5xGlz93PLDPBu1n4BHwHNfPryHyzCoEJORmxhJ9cT3RF+/mpfF0sOXFRjX4bvshEjOyGfxcPap5Gh9Qdfw92fTeIKp7u/HL7uNMW7eTNrMWk5cLdVsuuL1+lUkdKbnH9p2WdNx8jUFNOPLvz1y/sJexX501BbR6b95FIk5s5cqZfzl7aA2Htv+AUmVDu74f41+tCUleTrgUIYzK5XJSbiWj0eTTb9DrdO7+AjVr13/guSkJyRnZDPluGdtPXSLAzQlnW2vcHexoWNWfXo1rU7+yL8+FVsZKqQD9458wUBAErp35lfMH5qC29aJGswn4V38BucIyrY7PbW2QrVLBa/WCkUslyG9/pxn5Gnoerk1K3D5uRq4j5vJy6jw3DzvnUFP7nMwocjKjOLFzOIJgQJOXzImdcoJCwmjV6SV8A4P56cvxZGel067rIHwrBaOQKwmq0QC5XMGB//4EoGl4N6rcWkkVHw/ahdVk0sDuxN1KY+OBE2w6eBIvF0eeq23cqpqbr8Hf3YVLN4zmnezsHIvPp4hlKFUOuPs9R82G5lv5PXzMfXgatepDanIszm6+hb7ISSQSPD098fT0pMVzLUmNvMbipZbFPik1UmkZE/KJ5psnlubNWzD905mkpaXx6y+L+f67eZw/f3cPv0wioXOQH+Ob16KKkz25Oj2BjnZ0rurL+ohoYjKyGff3Icb9fYhPW4fxTlDpg6c9btR0deT04C7cyMzhVm4+VnIZPzpOQKlyQJOXRkzEZnyDOuLibfTDqdV8LLWajwUgPzeVW3EnkCusUamdmRr4B1U9XNAbDGTk5jOpezh+LuZq21YhlQAY93xzDILAyah49se7cu3Md1jZ+JCbHUP6bQHE0fWu74+1fSWsbLwx6DW4+bShelgrLh7fhJW1w+08OtLbbfzJybyF2saRti9OoXazPvz7x6ds+X0CgiDwh5s723afLPJ83HF4bdi4ObXqhFl8XnUGA5dvJnE5LokNR86y4fBZZFIpayYMoVO96sWaGxLSM/luyz5iktNwd7Dl9baNSUjPZM+FawR5uXE1PpmtJyNIycphWLsmvP18yX1nyoO8vFxO/DeBG5c3UKXOUEIaj0UqLfqWodNmk5V2HWs7b3iA8mf+4fNM330CgGAXB2q4O1Hd1RGpNAxH9wYAJERv5eSuN3F0a1CgfX5uIjK5NbWaf8knc4Zgpb4byrxjz9eKHLdKcE20t7ec34+XiyPDurZmWNe7GsSth0/Ta8rXpr9DA3xY8MWM4hcn8siQSqW4uPs96mmIlIGnUiiZMP5dliz+GU8vL5o3f45XB7+GTqfnFe1NPtl7iv2xSfx1KZqotExGhVVn+JYDALhbWxHm6ULMPVk6fz15mdG9ijZzFEX9wNJHRwQwVLEsT0Tauwvv9qHXQcQR0kd9VSCCp8/tD8CI1HtV752L6d0XuLt11tvRkzvvijPaGvOzpBTTeljLvkyd+RkpJ5chAWylMiqrrGjt7kkrO0cc05ZB2jL0gsDm9BRC1HoMgoyUW/+y7sdVOLgG0O/d7WRlCYBR8xN5fgf//mH0Wzi+6zcO/v0jjTqOoWqdrlw++RddG4YSdPM/YrAl6OZ/yO+TDQbUdOZ3YOX8GbzglYO7k1Go2rXA3Bm4MJINWn7XJHNFn0eMQYPmtn+Ml181WvZ+hw4vjCTfzYf1xfQhCAIjhzmSmnE3Scy3W/YCYG9jTUZ2DrbWato3rc+hf/cx/reNWPkE8FrPjgiHdz9wjveik8jAryn6d/ojaDQPbgDE5OQy4fwlknV6vv76a7p261Zk3ejoaCaMH8+RI3fDmQ/0cuPrJrWRFSGUhd3j2B1xKx2lQWDNhevASbN6fh5u1AuRs/OINY1rBfPTx2PYfuA4zg521A2ugruzI0vSHCC9RMtCIhiv/+sJCpKrPtgEc+WoMXaOt5cno0YMo2unDmyPb87BSyUb7w4Nqj5c7crInT2LPW5QKIkJGc2wPf2R3jZtfamwLC7QB70Kj3z7IJ5zmFnqNkleX1s0VlFodaKj6+PGUymUWNu6k5ihJjrhOls2b8LBtTKVa3Xmq6h/2B+bRPtALyo72jGkdlXy9HpUMin5egNetmrcbazoFxJIlkZHYk4eh+OSqTv9J05Oef1RL+uJIzUtndTUVL5b9BOr1xgf0QKQJxg4lZtNsk5LjCafV1w9cJDJWZwcz++3CuZM8QoIK5Bt2CswjOoNXuDiUaM6PvHGGTb+PBSlypaOA7/lu8EOFHe7Ca8XyupPx/H6rIV8sewv5owcWKI16QSBsTlRaBBoJrelrcIBt8+X4eYRgLtP5RJvAZdIJAW2Uv5v2rv4uLvRtE4IyWkZ2FmrSc/KpmX9Woz9fCHvzf2BF9s/9yAlRJnQCwKb45P44kokzkoFq//4g5CQok2KgiDwUt++JCcn897777Nn924OHTrEv3FJpGu0OKsK37JdzcGW873b8dKOw6hlMmKyC+ahqRtcmT3/+wKJRIJOp0cqlSCVSunXqVV5LfeB9HuxF/1evM8Js/gI+yKPId9vvmvKvXxiHZsXD8K7clPs7Owe3iTELcElotSiV2xsLAMHDsTFxQVra2vq1q3LsWPHTMcFQWDq1Kl4e3ujVqtp1aoV586Zhz+OiIigefPm+Pr6Mm3aNLNjgYGBSCQSDh48aFY+ZswYWrVqVaI5vjx+Dy++s5UBEw7QZejvBFRvy/lDS9l67SZNvd3I0epYdv4aay5Fk5Cdx5U3erOoU1O8bNUcuJHE1ms32RoZy+HbwceuJaWV9jQ90+RrNLz2xtvUbtyC8E7d2LLtH9OxCZ5+dHc03iBitRr+TE2mx+VzLEy8iW0RcRUuHlvDF2858dfPQwHjNbbxf68Te/UgXYf+TLPO45FIpNRrNZw3Z1+gfqthJUqm1qVZfbo0q8+q/w4QEX3zgfUFQWCfLpNkQcdolSfvWHnRS+lMzbA2ePhWKXVMmkPLvsXJ/u5N8ctf/+SnNZv56PtfmPztYhoPGEXVLq8y9vOFNKpVnW0LZ2NnUzEZV7N0OjbHJ/HykZN8EnGF51yc+C2sdpECiU6nY/PmzfTo0YOkpCQEQeDbefM4e/Ysw4YNY0uHZkUKJPfSzN2Zo8mpxOUas0l/PvZ1+nZoSeuGdZgzZqjpnMrlsgrP2CvybGAwGJ3+b147QKXQku2iKo/nntHRVVqGz7MhlJRKU5Kamkrz5s1p3bo1W7Zswd3dnatXr+Lo6GiqM2fOHL788kuWLFlCtWrV+PTTT2nfvj0REREmqXTkyJEMGjSIhg0b8sYbb9C2bVuaN29u6sPKyooJEyawa1fZ4kZIJBKq1ulB1To9CH9hDm+cG8zSc1eZecAYL+Gz23ETDr/ameer+NA6wJORfx/i0u2tgSqZFBuFnDfbiJ72JUGn07Hof78w/8efSc/IZPzY0dStXROFXE6fQcZopZ/Fx6CWSLCXysi4J7pmvsFADxcXAlVW3NTkU1mlxlepYusrv3Er/jJrF/Tj7IGl3IqLoHLN9lw+uRGAjbcFFYDEmNNY27mVas6fjujHsYhrNBsxmS9GDaKojcXxBg0zc29y2ZBHE7ktTeRl11f4uLty6a/FfLN0DbfSMklJzyAmIYmj5y7haGdL+yZhNKtbg6Z1QvByK34HmaXsTk7hj5vxHElNRysINHZy4OPqValhX/Qb5IH9+/nggw+IjY2ladOmeHt7ExcXx5AhQ3h92DAcHBzQvD+iROO/U6Mqr1cL5FBSKrl6PW/26cKbfbo8uKHIM4tWq2XXf9tISblFx+e74+BY8miw+bnpxiCMrUZycuf3xEUdf2Cbsj73REpHqYSSzz77DD8/PxYvXmwqCwwMNP1fEAS+/vprPvzwQ3r3Nm6J/eWXX/Dw8GDZsmWMGGG8UaWlpVGvXj1q166Nt7c36enmBuERI0awYMECNm/eTOfOxfk6lBypTI69SsEb9YJ5KaQS8dm57I9NopqzPV621uTp9HRd/S+RaVlMbVEHb1tr6ns642GjxiE48IH938FgEArEM3kWSM/I4NXhb3Hi1Bl6dHmeWjVDef3VQaY33ZiIMxzp8hIXc3NI1mn5MsG4dbOzgzO2MhmrUpK4rsnjRE62eccfG51QXb1DCKjeiqz0BI7t+KHA+K7eoTTuOLbU8/Z0dmTvgmmMn7+UkXN/5n0rL9ooCsZauGnQctmQR3+lCwOVruUWqddKpWTCkH4PrlgB/BYdyzfXoqhtb8foKgG0cnXGy6r4XCRarZZJkybh7u7O/AULCA0NpUXz5tSpW5d333vPonnYKOS08S6dMCnydJOn03PsZjJR6VlEp2fR0NuNtpW9yc3N4YtZH/PHCmNUWTc3d1q3e77IfnQ6HTv/3cqedaeIu3aQ+OhjZqkGcjJvFdn2DmV97r388u342uKW4BJRKqFkw4YNdOzYkT59+rBr1y58fHx46623GDZsGACRkZHEx8fToUMHUxuVSkV4eDj79+83CSXTpk2jffv25Obm0rVrVzp27Gg2TmBgIG+88QYTJ06kU6dO5aq2lUgkOKtVOKtVhLo6msrPJ6cRkZKBv70NQ+sEFd1BEZyKSeC5z41by3a8O4CMhJts27iK9LQUWrbpQmjtBsie4BDixaHRaBk8fCRXrkWyZtkvhNWrW2g9Z7mCZnYOpOq0WEmlVFWpqWylZn2q0UzWwtaBEznZTPUOwF+pIl6n5XSfbwE4+u98jv23AFsHL+ydfGjTZxZKlQ0JMafQazU81/MjlCrLtqnaqK34/t2hZOfm8dV/Bzimy8ZGIkUtkfK8whFPqZJUwajybSK3K/fUAY+Ki1nZhNja8HO9miVe08GDB4mJieH1YcOoUaMGAK1atWLv3r1otVpTrBdBEEjO15Ct1SGTSvCrILOTyNPHsZvJjNl2kKupmUgARyslC45eZFDtqqxaVNsU/Kxy1WCea9Xe1E6r1XLl8kWqVK1Gfn4+G9asYOkvPxJ7Ixp75wDc/erSus+X+Ae3Rm3rSmZqLC7ONnzzfmgRMzFS1ueeSSgRtwSXiFIJJdeuXWPBggWMGzeOSZMmcfjwYUaPHo1KpeKVV14hPt7oAebh4WHWzsPDg6ioKNPfnTt3JikpiYyMDNzcCn9Dmjx5MosXL2bp0qUMGjSo0DpFIZPokUl0Bcr1ssKDjnx+6Cz/O30FtVpNktbA4L8PU9fNmXy9nkG1qmAjKVqY0Or1rD56gff//M8UmOlAVCLTOxvjXjg5u7Fm2SJsbO2oXrM+1mprDAaBKtVqUC20NsGhdXF0uquaN5TADl8Yd6LDGv+vN/u36EaWRTDV680dNNdv3sK5ixEsX7yIurVrFzh+B0Fl3HHhqFLR3sZo/hCA7p4+dPf0MfqK5GVzUJdPuJsHlYCcmq0AqFqzFRHH1xEfdYqj/36HIT+dms8NoGajnuh1Wv5b/QFREbt5cdRqHF0D0Qmgux00VicUnEthfPf+MGyPxXBAl4UApAgathjiqSWx5oo0j3A7N6paOVCgOwvPo05Swondh1DM9Vj4OMb6hvvyBAU6OnI+X4ugUpmtySAISDAK8Pr7rqGwsDA6durE7FmziI+LY8zYsdja2pKSksJLffsSFhbGpUuXOH7cXC3ubqViaauGOCiLv+VYshlCIpT8/N+pKxG0RV6nD+yD0n/fgqHg/agk6CzccXH/d13U8XvryaSWzfH+a6QkGAwGLtzKxEouw9vOGmuFHIMgMHvvaZacukxtD2fmdWtJ8O1QAy+u/pflEcaM53fus02aPceCb+cQFXkFpdKKwwf3kpWZgbWNDTnZ2cjlclq17cTcb3/i8I2CJni1uioKScFo1/dTXs89kZIhEe5Pc1kMSqWSBg0asH//flPZ6NGjOXLkCAcOHGD//v00b96cmzdv4nVPht5hw4YRExPD1q1bHzhGYGAgY8aMYcyYMUybNo3FixcTERHB+PHjOXnyJDt37iyybUZGBg4ODixbtgxra/HNTERERESkaFIz9bw26AXS09Oxt7cvtE5Zn3urVq3CwcGBhFVfYm9teWb5jJxcPPqOK3auTwOl0pR4eXkRGmqu6goJCeHPP43bMj09PQGIj483+3ISExMLSJElYdy4ccyfP5/58+c/uPI9HIxtgryQVNijL79VbDtBEMzU2IM37eXQzcLDEF+fNZKD12Lp9+M6AD7q2oLzccmEeLrSpVZVMnt/+sCxEuNvsPvfTaz8bQFZGWkE16iLe9RVZBIJDnI5fdzccC5h6HO7JX+a/m/Q64m5chy/qvVNeWMK41qaZc6TYQ7mzlsr/ljD7Llfk6/RMPTVgbw3elSh7SJfHlZsv1/ExfBfZhr9nd0Z6Gq8Xv4d/V+Bekf/+4G9G4y7tlRW9uRk3+L5Qd/hVbkhq7/pjVQmZ8cXb+Lh4szuLFta2mYViFNSFHv7fV6yiveQvuZwqdsAdJI9WEgvDOHY/kLLEzOzeXHhGq4mGd/+gj2d2fx2P+RKFft9G+H543xTTAqAdI2W3odP4K22oq69HReysrmclU2Yoz0n0zIY5OfDmI2bzcYY88477Ny5k0aNGvHtt9+iuu2DotfrWb58OV98bjx/3zetg14QSM3X4qJS0NDNqUQmIr+3hz+wzv0sTS+5Y6xE0OKt285NeXs6V75S6rEA1lyq/uBK91G/csEtzyWh3pGvLGp35c89xR43KJTEvvYGPosXmq6J/7VZadFY47re3cYfn5DI53O/ZNv2f6gUGIi/ny9Ozs44OzsDkJ2VRXZ2NtbW1nTXJfPHhUjWRUQDRjNNWp6GntX9mdG6AYdvJnM5JY0fj19CqzcwNbw+ma37M+WD0TRq+hyff70IiUSKvAQZp3/7p/CX1JJoSsrtuSfGKSkRpRJKmjdvXsCb+NKlSwQEGCOeVqpUCU9PT7Zv3069esYonRqNhl27dvHZZ5+VenK2trZMmTKFqVOn0q2Y4E33oxdkSISCS5PpS6d2/Sa8LlEZ2YTUDeafC5FM37iXm+lZ1Pf3pOaU+SRl3g2INHH1dlYM60nnWlUBOCt78Kn18q3ES6+Oonuf19i2cRXHDu0m8dwptIKBa7l5XE5LY1alyqhKYEu8P0iasUxWaPndCpbF0JfJzOcz4KUX6d/3BT778ht+/uV3tBotObm51KtTiyYNG+DnawzXJsnPL7bfkQ4uKDUafo6Nwt1goKODM/pCvsd6rUdSq8VQ9m2ajU6TR+3mr+DmY7xpvDD6L5bOaU/v8Z+x5espILFFLqHEQokkr/g5FoqF51FuoUO0IBSuLp/85z8kpaXjqJQRl57FychYGk9fxKlpRmFcqtUgvSd4mhPwVbXKrLoZz5GERFK1WnyUSvbGJQCw5Mo1Xk5IwNvbGzCq3A8cOMDQoUMZM/auU/GuXbuY+MEHJCcnm2KvNLC3NoWPB0BXMtOA3IL7riAp/fkXJIoC13GJ21L68SRSy0x8cguz2N4rfD6o3p26eoNlYatkMhlarZb/LfmVb777Hmtra2ZNn0aP7l2LFUSVCz6hiacjHzatga1SjvKeF6jZe08w7/B5FFIprQK9mNOuIR62asafOEJubi7nzpxErlCW2E+vsPsIgIwHt3/Yz71nnVL9KseOHcvBgweZOXMmV65cYdmyZSxatIiRI0cCRhv0mDFjmDlzJmvXruXs2bMMHjwYa2tr+vfvb9EEhw8fjoODA8uXL7eofVlwUClxVClYeeQ8U9bv4ubtDK/Ho+MJ9XLllSZ3o5y2Dg6gceUHJ4MrDLW1DT37vsb0uYv5pmoQ84OCmRwQwPGsTF6NuMCN/LxyWU9FIpFIGDViGH4+3mzetp2Dh4/w7sQpNGvbiRcHDubIsRPoH2AptJbJeMfTlxArazanFRcjFuQKK8J7TqVt39kmgQTA0TWQLq/9wIWoWD5ftqFc1vaksPdyDMEezqwa3ovRbYyh2VWK4h80dR3tmRlajdk1gknX6oi7RyiTSiSMGzsWg8HA1q1b+fqrr0hLS6N5C/Nw9++/9x5Vq1alfXuj02HHjh3NBRKRp5rDR47SpUdvPvtiLi/1eZH//t5Czx7dSqQZu7Px4F6BZENENPMOn6d39QCuju7DLz1b4mFrNHsMe3MsjZs+R2ZGRvlsgCiB90K5Pfck0rvOrpZ8RE1JQRo2bMjatWuZOHEi06ZNo1KlSnz99dcMGDDAVGf8+PHk5uby1ltvkZqaSuPGjfn7778tjpynUCiYPn16qYSaMc0vmAWlukP8Pw/e/gWQkq/hn7gkPj19qUBUUM/AJtRrMx6vSs2RIKFzjX3YOQVi5+THDANwO2r4+E8t2+Z56axR8KmJnHlSfybl3+Dzi9d5U+qOp6Ro57WYpHschg1a1MDFZNdi3+J75C+zaI7/uzWgyGOj591ViedkpnL+2Fa2r55N7/6vYKeQ83wlb6o726OWy3CxUvGcjxtWt9Wvybn5LDx9mYt5ObwbVp2AugHs23SsqKGKJDcrAysrK/63cQftBwxnY6KMoKAgnJweHM+g0vP+pR7P+vcXS90GQAgpKipK8fTc18fsb21+Ohkp55G4tGH35b/oszoFuaIycJQriam8uKslowdqqfZCiyLfvK+fuYLhyEmm9WnLuyv+BiBbr+fo0aO8OGAUpw9vA6Bpu5cx+PTl0O1Yc3m52aSkpFClYV86vTiavuOyUFpZ43vqA4vWZji6r9RtqrUsekvo/QgGHbnRUNVLg2vUg1MKFEagV/G7NQpj4x7LHij2ax6cRLMwIj/dWXwFgxZpwjaipmwy3SPOzijcLFgU2vw0Is8vZGHMZhoGB7LvywnUreIHsUce3BjIVKsKLV914TqN/dxZ+ELB9B5zxg3i0IGjNK9dnaD4ksexmtLat9Dy5Mw8HmSwLetzLyPjdsoRcUtwiSi1vq5r16507dq1yOMSiYSpU6cydepUiyZ0/fr1AmUvv/zy3W1VFYggCEw7fYnVUebRPZ08QnHzrYdP1XACQ7sik98VDrwrP1dh87FBxgsSJ1YIKYzURzFX5k+gpPAf8uOItZ0TDVq9TL0WL3L1/D4kK0ew7soN1l+9Qf7tnQ/TmtaiZ1Vfuq/fzfWMbKxkMt5vEMKI2lUtHldt68fxEyfYvGkTAEOHDCE3N5devXox5/PPn5otvYJBz81r67l6ZgE6zd1cS/HXN+Hi1YyQRh9z9fS3nNk7EQZOK6YnqO3rgVohZ9p6443eSiEjT2s0E509+g9d+r1L5ZCGnDmynbEvGb8bWwcXoq+cAiA3yxhryMq6IoPgizwu5OUkcPQfo3Ds7+7Mv7Pf5cCFqxy4cJWG1QLRGwxsOHiK9vVCcbQt3aaDuMxswnzMd2Vm5GlYcOgcm/adolbVAP7+9pNyW0tJqOjnnshdnsrcN5YikUhIuK2+buTqSC8/L9p6ubGo+ZqHPpd8wcAQ/TX0gAdy0tAzWX+DSTJvQiWWe3A/CmRyBdVqt6LL5eqMqW90EszS6Kj122ZkUgkqmYyk22HG/32xDd62ZV+fUqmkW/fuXDh/nj/+/JM9u3cze/ZscvPy+OCDD/D1LfzN6Uni9N73uRW3D8/ALgSGDubg5j6obXzJy4njVtx+tJoMajX/jKgzcwHIzNPgpLr7k8/RaPnvfCTHo+M4H5tErlaHp4Mtvs72nItNMtUzGPRsWmHswzugOnWbdiYh9ipRl09Su1FH+rw+Hd/K5inlRZ5u5AobXLxaoclLIjrxHNWGfEj87UjYzWtUxc/VkRW7jtK9aR1WTipZdN87NPLzYF9UnOlvQRCYs/sEv524RLcWDRnVt3wCaj50REfXEiEKJfcxv3HtRz0FABRIsEFKBgYS0LFQGsBsQxzf6xN4W+ZB9SdMMLkfW6WcBh7OrIyI5qVqAazvHk67P//jbHJauQgl91K1alWqVauGRqNh0aJFzBIEvv/++3Id41EgV9igtHIhpOGHaPKMpkkbxyrkZhsz26rUbji41qZmi88AgU5zf6dLzUp81D2cuLRMms74meTMHBzUKjwcbKnl687MF9rSqnog/5y/hrudDRGt57Hv79/JSEuiadt+ePhUeYQrFnlckCtsCWlo1L69XfN3dp6+RMewGkilEoZ//Sv7zhnNuBsOnEKvN5TKqbhFgCe/HI8gLiObozeTeG/zAVJz83m9QQjfzLAsavBjgWi+KRGiUPKYIpVIWCSrRD/9VQCOkMMQqRsfGWJ5Tx/Dd7KAJ8qUUxgTGobQd+M+xu46ztCalZFJJMTnVIxTr16vp1bt2ljb2BB57VqFjPEw0evySEs+jU6bxflDn5B8cw8qaw8ybhnzOXkGdiGk0RQArNTuQALXklKZs/kmEzu34L2VRr+Rox8Pp7qXa4H+29cwCh/Xraxp073023RFnh26N61L96Z1TX93DKvBL/8cYFDbJvz270Gy8vJxsCn5i0bLSt5IJRJWn73KXxei8LG3YW7nZrSv+oRrN5/iiK75+fmoVOXzPBKFkscYW4mMP2VV2SNkUk9ig4tEzng8mWOIZ7Uhhe4SR6pKrJA9oRJ0Aw8Xvgyvz9QDZ/jrWizu1ip6V/Ur93FGvvUWe/fuJS/PKPAkJiRgMBie6KyzBoMWazs/sgU9WelX8a8+AK9K3Ti42Wjnj7++CYXSASePMAyam4DR90kmleD/3ldk5mn46bXuhQokIiKWciE6jl//PYitWsU/Jy4AcOZ6LC1qlNxHzEmtonmAJ5/uOI6jlZKfX2jNc4FeD24o8tDYtm0by5cvZ8+ePURHR2MwGLC2tqZ+/fp06NCB1157zRRKoLSIQsljjkoipZ3kboK4fwWj3XaXkMkuIRMbpLwj9aDmfYHfnhR6VvWluY8r+2KTCfd1x/YBYcjv52bkOm5cWopOm4len4dUqkBp5c4rr/iQm5vLxx99ROzNm3h7e3PttoakWrVq5ObmYmNjWa6cxwGF0o56rb4zK0uM+Q+D/u6W3phLy4i5tAxrGwfgOWxUCqxlMKptI56vFURNX/eHPGuRp53LsQkIgsCA1o3Zduwc1f08mbl8E5umjy7V/WlGh0YsPXmZt5vWwr2czbmPCkEiQSjDPbosbcuLdevWMWHCBNLT0+ncuTPvv/8+Pj4+qNVqUlJSOHv2LP/88w/Tp09n8ODBTJ8+vchUMkUhCiVPGC9JXbiu13ALYzCqbAzMNMTh+XJ1Bo+dR53GHR/Qw+OHm9qKnqVUzSZEbyPy3PcmX4o76A1acrOuc+5sqingXu9evZgxYwY2NjZkZ2dz6dIl6tSujZ+fHytWrrQo2vDjiJW1B0orV5w9G2MwaJBIZCREbUUwGINj+Trb81Hn5nSoKfqFiFQMJ6/G4GxnQ55Gy/UE42/zYkw8mw6foWsp/PWquzkxvX2jiprmo0EiKaOj66MXSmbOnMkXX3xBly5dCtU09+3bF4DY2Fi++eYbfv31V959991SjfHk6q+fUUIlan6RV+ZTqQ+B3N2aHB9zmdnjnkfzBARaKwuCIHDtzHdEHJtmEkgc3e8m23L1aYtMrua5555j8hSjT8WXX35Jx06dOHX6NAcPHeKjjz7C39+fmJgYptyu8zRg71KD2i3mEH99E4nR20mIMoaxd/Iwnp+dEwaLAolIhZGalcPqPcdoU7c656KNu2f83Izh5eNT0h/l1ETKicOHD9OtW7cHmr59fHyYM2dOqQUSEDUlTyx1pTZ8JbFmoSGBbcLdGBWREccIrvmUvWHcRq/P5/h/g8nNMubKqFxrNB7+z6NQ2nNgUxdsHatRPWwKUpmCr7/wNAsNvW3rVurUrk12drZZn3v27CE3N9eUefRJR2HlfPf/Sgcq13qDgGpdgZIFDnxUCILA3isx7L1yg9jUTD7tGY6jtVWJ2hoMBs6fOoBcrsTJxR1nNy8UD8iSK1K+JKdn0fWjeaRkZjO+T0fG/bAKgLCgAC7+NO2x9d8qRT7asvMUbQnOyMjA1ta2wPeq1+vJzs4uU8LAp1Io2RjXAKvMgsnm+jUrfSRGgG/9fyp1GyHQsqBqXqPfLFX9umkZVOn8CrUad+dm1FmUtpVIy5SgBtIyi7dhnqtk2X7/V/+1LFrnws5rS9+mzt14BT/M/5Z9G4wCyYYt/1E1qJrp2Ojspvzz9xb2bmiFra0dn71Zi9/3nGD58uXMGNTNpEH64Bfz0PO+TnZUOrfVtGUxe8rHpZ6jfvmiUrcB+Nx+hkXtVlYr/hpJqz6AA9HxfLH7JFfPzOWr+pfQ8Cp7609EUso8PTevW3bT7rqjV4Gy9FtniDg2DW1+KgHVX8fJozE6TTqR534gO+Myet3dpHUD3x5FWK3if685uXlM/vxb/pniTuztFBAAAxuE8O2LbQpto5PK2FetDfX/mcRbOR9atLaAKoXnHiqO1JScB1cqhGnVF1vULuhk8blvZBIdjd3hyBmtKf1D10HNLRrreOXafPTua0Sl5vLtb9vRVavBtTlLAVi3/wTf33ClReuCUXdXXR9U6rH8Ui3zA7POLfw+qI+9aFF/lvA0+JQArF27lgkTJnDy5Emsrc0D4+Xn59OwYUO++OKLUuWru5enUih5lnB1tMfPwxV3n2qM+Oj2Q1+wLPnX406/AYNo1KQpNWrUQnl7+9npUye4HnkN4Z7w6VlZmfz4936T9qNrwxr4ORnTDrzcMoz07Fwyc/PZfvIiXRvWtDgx2+OKo1rF88EBPFfJmx6/bGb6f0eZ0OXVUvdz8cwhvps1gaiI/bTuNYH2fT9CoSyZ9uJ+sjOucf7gBxgEHXpdLtfOfgtnv8XJowkZKafN6q5Z9FWxAokgCMz6/md++/MvsrJzeCWsGrW93fjr7FW2XLhOROKDM7+KlA86rYYZH77Fv1vXMmXWQqpUqwGAg6MLN29EAeDkXDpHR5HHmwULFjB+/PgCAgmAtbU1EyZM4LvvvhOFkmcZqVRq9lB+WnFwcKRefWOiuZRbt/hx4Xf8svjHIus73Q5v7eVkDxjfBt0d7HB3MAoo9auU//bjxwlbpYIgVweSNSW7NqKunuNmzFXCmnZAqbJi8+ofiIow5kPZsfYz4qJOM/TDjaWeR9KNf7lw5CMUSkcatV9FdsYVTu8dDUBqwkHzOdtYk52TW1g3JjZs38ncRb8wrP8L9O3akSvrVvHmqn8AsFMpCX/S41k8IeRkpvD73D7EXNrP1M9/pkMXYw6o/Pw8Lpw9DkCPPoNxdnVjz3+badS8DSqVZULtU8FTYr45e/Ys8+fPL/J4y5YtmTx5ssX9i0LJE45WpyM6PpHGnpYld3vSOHLoAN989TmnThgT9VUNCubK5bu+I8HVQ+jYuRsvuuVTu7I/Ox/RPB8WJ24m8ePh81jJZThbG2PW+DnaGR39gZM3k2kQaJ69WhAEEm5eJ/rqeZxcPbFS2/Dnr3P5d9PvGPR6rNQ2fPz1Ojx9KwHg7FGZtORoLh7fwq4NX9Go7RDUNg6FzKYggmAg7rrRZFY3/AcUKgcc3cKo0fRzzh14H3vn2ngGdsXGoSqxV1aRdGMbg8ZMokXDevyx8EsUhWQ5vuMH0KZZI+rXDGH+7OsA9KxVhcUDOll4JkUehE6rITsjCQcXH5JuXuLXOb3Izkhi3v82UCesKQB5uTlsXm9M9Nm9z6v8vXE161cvAeCDafPo/mLpNXZPDU9JRNfU1FR0Ol2Rx7VaLamplmsrRaHkCefv/cfQ6w1UDm32qKdS4dy8GcubwwdTtWo1pnwyg7btO2Fra8uwwQNISUlh5OhxdOrcFYlEQqWTq9DxePyIK4qlJy8x5q+9+Njb4GxtRXpePhq9gfjMu/4LTmoVwxrVIOuedjPe68OBnea+NY4uHvQeNI4TB/8hPjaSZYum89GXa0jOULBt+Ud06PcJqYmRbPzlPf79cwbPdXmHxu1fx96p+KBWcZHrSUs6SnDYZNS2dzUYLp7NaNnLPCNw9QZTOLb6XfqPnsC+oyep0a4n098bxUvdzAWN7u1b4erkyC9//EWHls34vk9bLiel8t/lGMat3cnnPVoie0wdK59EBEHgzIHVbF32IWnJ0fhWaUjM5YM4uVfirRn7qBPmZar3/lsvcezQbgC6v/AqlaqG8M0sow9a/M2YR7YGkfIjMDCQo0ePUr169UKPHz16lICAAIv7F4WSJ5zcfGOwLCu13SOeScUiCAJHDh0gJzub06dO8Muy1SZV8K/L/3zEs3s0uN0O3b2wVzhN/D1N5fk6PXKpBAGjtkSQKzl0+1huThYHdm6gUcsuvDn+G9JTk0hOjKVWWEvmfvQaVy+eoEa95lw6e4Txr7emx4gl5Odm8veKj3F09ad+ywGo1HbsXP85uzbM5dXxfxJUu22Rc8xKvwxIcPZoaipLSzpGYszfZKVfxmDQolA64OH/PG4+bbG2tmLdT99w+sIlpn61gHenf0G3dq2wVt9V+0ulUkYM7MOMb39kyer1DLGRs/zVLgxbsZ3Fh87x65HzLH+1C+2DLb8xihjRafP5dU4vLp3cRuUarandtA/xMWfpOWw+9VoORKmyhtsib2Z6KscO7cY3oAo3oq7yej+js3H7Li/SoWtfGjRu+QhX8hjwlISZ7927Nx9++CHt27cvEOMpPj6eyZMnM3DgQIv7F4WSJ5xGNY3SauLNy7h6PX0mnA1r/+CD98cUKNfrn34fmgdRy8O4/fd6aqaZUKKSy8zq3VG0Th/3IhdOH0ZlZU2fV9/H3csfdy9/gkLDyM3JIv6GMeKtb0Awb074hs8/fJVv3m+Ak3slajTszrkjGzi+eylVaram/5jfWTK7Fyf2LDcJJTptPlfO/MfF41u4fvkW9k6haHITAYEDm7ugVLkgU9iQmxWN2jYAB5faSOVW5GZGcen4LK6cmkvvpFoYDAa0Wh2nLkRga21dqCPy2NcHkXQrlXenf4GsdyteaRjK5A5N6LpoLXqDQN/FG9nzzkvUFMPoF8uuNR9Rp9VI7Jx8Cj1+8O+FXDq5jQ79ptOy+3vIi9lqbefghI2tPTeirqJQKJn46bfEx8YwaNg4ZDJZke2eFZ6W3TcffPAB69evJygoiIEDBxIcHIxEIuHChQssXboUPz8/PvjAsh2aIAolTzxRNxMAkEqfvq9Sr9eZCSSBlSozb/5P+AcEolSKcSjsVEoUUikZ+cVv/8y9bf89fXQnPfqPoW23QXj7meciyc3JIvqaMVfJod2bGD1lIfOWHmbF8j858t8Szh3ZQKWQ54i8sIerZ3dw9ewOAJLjrmAwGEi/dYPZb1XFYLi7XTb2vnl4BDyPXpdDpdARuHiHm4Udz82O5dbN3Vgpj2NlpUIhl9O8YT1e69sTVSHftUQiYeaE0Sxa9gdj1uwkOjWTca3DzOrkaIq2ez/LZGcksnP1GBpPGsyJXT8QGbGPRu3HoNckUqNRD5zcAkhLimb7qqmc2P07bt7BtOjyTrECCRi1mXm5OTRt2YGDe7ajyc9n8BvvP6RVPQE8JY6udnZ27Nu3j4kTJ7Jy5UqT/4iTkxMDBw5k5syZ2NlZrrl/+p5kzxh1qlehko8ne7f8QPV6RavRnyRuxV9jyWe9iY8+A8Cbo8YwcvS4xzYA06PiuwNn0BoMtK1S/G6Tvy5cJ6AhfP6/nVSqVq/QOs6unkhlMgx6vUlYkCsU1G85gPotB3Biz3KWfX1XJStXqAht0JXTB/5k57rPadD6FZNA0qTDcDIzqnLu4HgAQhvPxNouEGu7os0pahsffINeZtknL5V4/TqdnprBVbl4+RptgvzNElMee28AlV0dS9zXs0Bm2k12/jGJ2KsHUMgkwGAA4iKPsH7RAAA2LhnLm5/uZe/Grzhz8E9a9fqAdn0+Qq4oWQZYlZWamnUacmD331yJOFdBKxF51Dg4ODB//ny+//57kpOTEQQBNze3csm/Jt7ln3Dsbax5+fnWnNy/ltMH/3rU0ykzgiAwe2SQSSCRyWS89fZYUSAphIikNBRSKZoHmLL+u3IDeHD0ynZdX8HJxZMXXhkHQFpKIv/8MYNdG74i9toJUz17Z29mLMti0HuraNrpTbYtn8Kt+Kum47Wa9MbWKRgAr0o9cfUOL1YgsZRtu/dzNuIKvwzoSPPK3lgp5KwY3AWZVMKK4xEP7uAZ4+DmOVw4sgokEl58e42pvH6rN3jzsyvUbmbMW3Ir/gqVQsMBSLxxHpm8ZFrJtSt/Jic7k5PH9iOVSun98uvlv4gnGEEiLfPncUMikeDm5oa7u3u5JYR9pjQlaxt99+BKhdBzf+mirAJ8Yv+5RWN9eP7tUrcZ6apgd91Qfp7Rm5Prl+Dp7saeWOjrtgO5tOgL5a1fa1g0x+H9LcsXM/L4zAfW0en1jL/n77FfnWXzmdLHnRitUIJwe+1yJUhKFpl0xI+eD650H+P2WfZG2KyPRc1IajENgNebvMzGLu1572Q8Lw/sSM3adfHxuXuu9Ho9s2dM5e/LMbwG1F/wLjKtMYJnll5Pnl6PXoCjGRlIgZ5WKtyVkPD75+xZN58MnY5tMTfMxpZIFYQ0XMSGX4w7ZySyF1Gq/2LV/GmmOut+/oJfXJN5RaFAd2MTk+yvYycv/FZzR1C6c0M70qrkkU9zdMYovbNOxZPQ+EWea9WWSp0N6JdsQlO/IzEvFPwtGfQ6uHiU2O7jGV3Mb6M41h4ofZtvq/xs0VgJfXtY1M56yVsFynqFpNNmn4yMW9Ec+7k7z38zH1ulAvvoDUxJy2GyJILTwKrvBrNgQCf6D+tJvx/Xof7zeYY0r1PoOMei4vjvr0zOXo9lxe5jDG7XhH3nz/FKm0b00u6H23FuCiO5acE5Poi2WStL3Qbg17x+hR94mPGdnpItwYmJiUyePJmMjAymTJlCjRqWPUeK4qkUSvoaluKsLxikZznDH8FsKh6FTMqvn02hfu8hzFz4K/M+Kn0SpMcFuUzGv5Nfp+2nP1HJ3Qk372oPbvSMElTN6OR8+NABDh86gFqtZvibo1m3ZhVZmZno9DoyMzJ4c9QYAD66cpXTybe4pdVS1K3YUS4nTafjr6QkxlcKwMO/K8lxO9FrjTssmnbaguQe/yWJRIanf1euX1hoKvMPHopD+lwWVQ9hwLmzvHDmDP5WKkJtbNmZloq9TEYfdw+0gsCSuJuk6nQEW1vzc/WQUq2/ktyKCTY+7LCxYdyoobfnIzH7V+QuVVwcuDjuZd7ZuJfzt4w5oLI0WnZeu8nNjGy+6tuOmt5ujFv9D28u3UrGvPfoVbcai/edKlQoydPqGPjzBmLTMnGwVvO/dwbSMSyUoGFTqez5eDkYD9YXngoizvHx0z6UF7NmzWLNmjVcvHgRtVpNs2bN+OyzzwgODjard+HCBSZMmMCuXbswGAzUqFGDVatW4e/vX2i/r732GmFhYbRt25bnn3+eqKiocv29PZVCybOIi5MDn7w9lHdmfE2dkGpUa9buUU/JYppWCyDYy5UGlcXInMUhkUjY8s8eUlNSsLaxpmeX9nzz5WcAqFQqKlWuir2dA6tXLqV9m5ak6nR0dXfDXanEQS5HJZWSo9fTzMmRfIOBRI2GKmo1b52/yJmsLMKdnNnn/R5Vao4hJfEQEonUTCC5g3clYyTPxBt/o81P4dKJT5kjSyTcyZGvgqpxPDODgxkZrE1KpL6dHVIkzIk2hiC/cyuLyLEsN0xrlQP9f1nNyeNHiIo0mpCqBAVTs3bhvjPPOmqFnLeb1mLEX0Z1zwfh9Wjp64q/ox0SiYSBTWoybvU/dKsdhCAIONmoSY8xOtNrdHq+/vcwJ6ITuJqUis5gICEjm9UTX6dBUACeTvZsPnKWnHzNUx8t2RIEymaCEUrpbbFr1y5GjhxJw4YN0el0fPjhh3To0IHz589jY2PMIXT16lVatGjB0KFD+eSTT3BwcODChQtYWRUdeffEiRPMmTOH0NBQBg0aRFJSEu7u7hav635EoeQp4tVez3PxWhQff/szy5u1Iy7pFn4ej9cby4M4eu0GX23aS0RcMkNbN+Qh5vB8IgkIrERAYCX27zUGrLK2sUGlVGEQDFy8cA4HR0cGvToEgG+rByPTFp4XyUYmw1lhTNZX396OM1lZ5N12XJVI5bh4Fp2sTSKV41OlH45ujTi5ewhaTRrrgfXJSeyuH0YtW1te9fJGJwjIJRLmxcRwONOY2VoA2jo5cTU31+K3LYlEQr2wRtQLezqzY5c3E7cdIjbTqCkZ1jAUueHuLiUrhRwvB1s2nblC7U9+JColg8HNanMqJoEJa3aw/6q5Oe+Tbs9x4GIky3Ye5VZmFvvOXyPI253GwZUe6pqeCB6y+Wbr1q1mfy9evBh3d3eOHTtGy5bGmDEffvghnTt3Zs6cOaZ6lSsXH1qiZ8+eTJw4kYCAAGrXrl2uAgmU0tF1wYIF1K5dG3t7e+zt7WnatClbtmwxHRcEgalTp+Lt7Y1araZVq1acO2dub4+IiKB58+b4+voybdo0s2OBgYFIJBIOHjTPhzFmzBhatWpVyqU9e0gkEiaOeIWaQcaLquELQxkyaSbpt29AjzPpOXm88v1KWk/7kYs3E5n9cidGdmz64IbPOJmZGfy48DvGjX6Txk2aceTkRfYdOc3+I2fYdeA4/+4+zIi33gFKZtIQBIHlcfEA2BfhB1IUNvaVadJpC9XqTWFSQCA/VQ8x2xEjv/3/bq6uVFGredHNnV9CQjmckUF1a8uyv4qUnjHNa+NjZzzfhTk/hwV4YqNUEBboxe9DulPX153nPv+tgEAC8OvBs/ywZQ+ZuXk42lgz9/Xe7PpsLLbqku3WeRIoj+deeZKRkWH2yb8dQPNBpKenA+DsbIxvZDAY2LRpE9WqVaNjx464u7vTuHFj1q1bV2w/3333HS+99BLVq1fnv//+K9NaCqNUdx1fX19mz55N1arGGAe//PILPXr04MSJE9SoUYM5c+bw5ZdfsmTJEqpVq8ann35K+/btiYiIMO1bHjlyJIMGDaJhw4a88cYbtG3blubN776FWVlZmexbIqXHwc6GrT9/yZ7YXIa+2I1f1myk39gpbPnpy0c9tSI5dyOBET+u5UJsIlN6t2F0p2ZYKRWPelqPPYkJ8Qzs15uE+Hh693mJd8aON/OpcHMzvsHo9friujFDIpHwhr8v86Ji6HniFArn91GonHF0DcPZozlyhbnwkJ+bQOy11WjzU1Db+OEZ2BM3n7Z0kW4pYgSopFbza6jROW5RbCz5BgOjfEVT3cOiXVVfkBt/X39fuUGXKuapApa93tP0/8+3HWT6pr2F9hPs4YwA7P5sHKH+xacbeJIpj+cecFtTUpY4Jcbftp+fuWns448/ZurUqcU2FQSBcePG0aJFC2rWrAkYHVazsrKYPXs2n376KZ999hlbt26ld+/e7Nixg/Dw8EL7kkqlDBgwwPJ1PIBSCSX3pyKeMWMGCxYs4ODBg4SGhvL111/z4Ycf0rt3b8D45Xl4eLBs2TJGjBgBQFpaGvXq1aN27dp4e3ubpLc7jBgxggULFrB582Y6d+5clrU983wyeiiNagXzyvjpHD9/ifTMLG7EJ9K2aQO83R8Ps87uC5H0mvsb/i4OrH/vFVpUD3zUU3pi+N+PC8nMzGDT3zvx9SvcKc0S+nt50czRkb+Tb7FWIyUnM5KkG9tQqlyp12oJcoUtAPm5iZzc/ToSiRy1rT+34vcQc/kXHN0asVQZR4CVmiBrazxuBz+Lzc8nXpOPv8oKN6USvSCwNeUWnVxccFKIQujDJLySN0eAidsOEvxSG6q6FJ5gsXf9YKZv2otCJkWrN9AgwJN6/p680qQWdfw8EAQB5VMskED5PPeg/CK6xsTEYG9vbypXqR6slRo1ahSnT59m7967AqbBYHR379GjB2PHjgWgbt267N+/n4ULFxYplFQ0FvuU6PV6Vq9eTXZ2Nk2bNiUyMpL4+Hg6dOhgqqNSqQgPD2f//v2mL2fatGm0b9+e3NxcunbtSseOHc36DQwM5I033mDixIl06tRJjE9RRrq2akZlP28+nb+EC1evczMxGblMxsYfPgfKdyuXJbz581oaVvFl7buDUIvakRJjMBhYv+4Puvd8oVwFkjsEqtUM9/MlwtXoOJuTFc2p3cM4+u9LOLjUw8WzBYJgQKfNpHaLhdg5VicvJ46E6E2kJR1lftLdeK6VrdR4KJUczEg3+Qi5KBTYymQkaDQ0uucGK/JwuKNRS8/TsPrMVSa2ql9ovSpuTnSpVZVNZ67goFaxYVRfbFXKAv08K1j63CtP7piRSsrbb7/Nhg0b2L17N773aCRdXV2Ry+WEhoaa1Q8JCTETXu6lU6dOfPTRRzRrVnwC2MzMTObPn4+trS0jR44s8VzBAqHkzJkzNG3alLy8PGxtbVm7di2hoaHs32/cj35/gh4PDw+ioqJMf3fu3JmkpCQyMjJwc3MrdIzJkyezePFili5dyqBBg0o7RXSCBJ1QyI9FKNzJ74H9SUuft0EmsSzEtc7CcPEyw13bsO72/3UGAblUyvQxI3h98mykUilBgf6kpGewdON25DVftGgswVBwbfE3o4m+dglvv0pIpFJ8/Crx1afj+Puv5djaOSKRSFAa8hnUsj55Gi2hvh680KgGyTkaRnaqhUKporAzJsXC70yQmLIE65BQUo9Zhazkpo47GCwMeS8YLFubXq9HEASsrKxwdnZ5oHnGcPu4JfNUKownTunkR8M2C0hNOEhq8jFuXJoHCNg5eGDv4IVCIaB08MS+1lBgKONuTEAnCJzLyuJQRgYx+XmMCwqirq0dP8fGkqrXYSOV0t/fn3AXV9MWZcGqZOc/y6BnRV4yZ3Q5BL79OkNGjKJ6SM0HtjOdC70eQbDsN2rJNamzME5laUxvZuM94D6iv31crVZjY2ONTipHJyn8Pjetd1s8nBx5pWlNrKzUBX6nEguzcVty/ess9HyXFvY8gELvOYVR1uce8NDDzAuCwNtvv83atWvZuXMnlSqZOx8rlUoaNmxIRIR5oMFLly4VmeW3T58+9O3bFzs7O7p3706DBg3w9vbGysqK1NRUzp8/z969e9m8eTNdu3bl889LH69LIjwozON9aDQaoqOjSUtL488//+Snn35i165dpKWl0bx5c27evImX11113rBhw4iJiSngCVwYgYGBjBkzhjFjxjBt2jQWL15MREQE48eP5+TJk+zcubPY9hkZGTg4OLBs2TKsra1LsywRERERkWcMXU4WL/YfSHp6erHah7I89+48l6J3rcPe1nKH7oysbPzDez5wrnd46623WLZsGevXrzeLTeLg4IBabcwwvnbtWl566SW+//57WrduzdatWxkzZgw7d+6kRYsWRZ6LP/74g5UrV7Jnzx7S0tIAo9YsNDSUjh07MmzYsALxUEpKqV/LlUqlyeGnQYMGHDlyhG+++YYJEyYAxtTF9345iYmJBaTIkjBu3Djmz5/P/PnzS922uSwZZ3nBfdar1YNL3RdA10NjS91mtt2nFo31XqJlCaxU3e+GB9UZBA7E5dHUy8oU0fVWWjqjP/2aXYfvhgu3dfSnSZe5OHvWLtVYr/W1RxAE/ly6kJVLvgFBYMS7M6hZpxGxMddIjL/Bv5tWk552ixcGvEmnnkanqPonv+dKQjL+Lo6M+20Tm09E8N2Q7ry24A9WjRlAeEjBbYQ/WFsWCO4N+c/okLALb8K5ibyEqpJhu9qXeqyRBweXug1A5nd/l6q+Xqdn7z9/cmL3avbs3knflwfy7vuTkDzAxGnQ64m8dBrX7+Yh1RSfvO9+PnSZXqr6d5gW/2GRx45lZjDx6lWzsr/rGuOKZEXllqj/HIOeoelX6GHlTPh33zLy9f6MeW8yffu/UqxJwaDXE335BP5B9RCklpkL/zpcuP9FcbyrKv19DCCxrmV+deqlXxV7XC+Vc6xeJ4YMGcKwelV5p1ltrNxdLBpL4Vt4huEH8Z9P6cPQt8peb9FY0uzMQsvjFCXT8pTHc6+soeJL23bBggUABXauLl68mMGDBwPQq1cvFi5cyKxZsxg9ejTBwcH8+eefRQokYDwX/fv3p3///oBxV09ubi4uLi4oysE3rMxxSgRBID8/n0qVKuHp6cn27dupV894g9FoNOzatYvPPvus1P3a2toyZcoUpk6dWsDR6EHscOqHtV3BH1hfw7pSzwMgJ7v0W2r7buj44EqFoG9gWY6QA03vhtQW1Cr4bTqH272PJNe4XcwgCOzWXyUXA3Ik6BDIzY3gr5+6suK3JTRtXPIYD39d8ePIjmX88vlEWnYbRfsXx+Pk5keyACrfWvj5wuAGd+2IZ2/vJKzUpBcuQDbgeiqZtD3HqffaOFT/28D6eC2V+3RAo9GgVCqxvf1GUT3TspTn8hgDd0JzyTGUWCjJyCjZ9rp70S36p9RtAFqf/75U9Qd89RtrD53B11bNvPA6dFTdgnkPFtr0MgW0e5lLE7eCpHQ3jW/8EkpV/w7/XSjcJn2H3O7mN9iV3WZQtWY4w21+L/EYfb/5hcWbd9I26SIvd3+eWdM/5I/fFzF/1hTq1QghNj6BA8dOUSc0mKBKxt+VzmAgGvDWRbMlpegbb3GMSXyn1G1+q/mNRWPtXXJ/ruWSodUULRQCaLKjeY1UZEo3zlSayzvZvvys/9aisY4HDbGoXfsTxQtOhWJhaoCNlScUWi6kRVvUX0U998qTkhpBhgwZwpAhln2HYNS8ODiUXlAvilKJXpMmTWLPnj1cv36dM2fO8OGHH7Jz504GDBiARCJhzJgxzJw5k7Vr13L27FkGDx6MtbW1SaIqLcOHD8fBwYHly5db1F7kLlKJhF5SJwB0tx/QNjbWODo6MPytt9m4uegtnIURffkobt5V6fvmtzi5lT56Y5dORqFt4aKf6NG1C5u3bqNG/YbUa9KcGvUbEh1TMCbCs4rBYGDqiq2sOXiaJW/3Z9/ATnSs5P2op1UmJs6/AEB4jzFUqRnOr1/0JycrrVR9fDK0D81rBfPq2EkEVwnkm2kTsbWxpsPLwwh/4VXqtO/NGx98QtPu/cmyMGLs04ggCJzcYdSAteq7Eht7cTt2cZTbc++OT0lZPs8ApdKUJCQkMGjQIOLi4nBwcKB27dps3bqV9u2NKu/x48eTm5vLW2+9RWpqKo0bN+bvv/8236tdChQKBdOnT7dYqBH5P3vnGR5V0QXgd0uyu+m9hySE3kOH0DtIU6QKCCKKNBEVAUURP2kiRRGkCIJIEZHekd57h0CAkJDee9lyvx8rgZiQZDcJCfG+z7MPy71zZs7c3L1z7syZc3IyUGpPC4kFP2mjuEk6qalpfDDyXZauWMn8RYtp0rgRjg6F2ypsYqokLuoxWq0GmczwCbdKvhV5751h/Lh0GQ729kilUjw9PEhITCQ5ObnQAYH+C2w4cZk5W/9map8O9G1el5hjZwsWKuM4e1TFr+UALh/bwOhvDjL/4yb8teJDJnxR+OUzawszdsz5FKtOw/ls5nxcnRw5v3sTW/ce4tCJM9y6F5hdttvgUdSuXhm/2jWp1qglAYGPuP0ok6zMNDTqLJISokhPTaRFl2FY2xmelPFVIvjOVqJCTgFjiYu4iq1bCyRGOPP/Vyiuca+4tgSXdwwaTX75Jf9MlxKJhOnTpxcYyOVFBAUF5To2cOBABg4caFR9IrnxlCiYLfdkhOYhkWhYumIlYz94n7Xr1tN30BA2r/+tUIZJePAt3LxrIy3Cw2zC+LFcuX6DM2fPMWLYUCpXqsTkL75kzKiRVK7ka3S95QmNVsuGk5epXcGVaf2MWxIsq/R+Zx4zR1fj7y1zeW3I/9j2y8dc6utLg6r5h7l+HrlMhq+3Jw+CQgiPiuZJeAR+taqz+o+t2WUa1qlJZR8v7gQ+ZN/R06xZ25Iug98nPf2Z/4pMJkcqk3Ny32q+XHoBlXn53KYcG3aFS4e+oGINva/K6Z0f4Ft/DNWbGLZt879ESY97Ijn5b8wHieSiq9Qm+/vipctYsXQxKSkpvNb7Te4G3CtQPujuWWo17lGkOAUmcjmrli1h97Y/mTrpE9L+mWI/ejx/f4T/Ep/9tovDNwIZ371VaatS7Fjbu9F31BIuHl2HqcIcK1sXOk+cyaGLNwyq58DvK7D8xwepWc9BtHxjCMGh4Rz+YzVd2rTgZsB9EpKSGTf8LW4f3QnAluWLmPP7AxZuieDHbTEsP5DJjJXXiA57yI/TXif0UcmFCS8NtOoMbpz8jiOb+mLtWA2VxTMnTHPr4o9zI5Kbp46uRfn8F/hv9FIkF29K7Ti4+5kn+9lz59m9dQv2dra8/e77REZGvVBWEATSUuKxsM47zkxB/LV9B7XqN8anWi2q121A30FD+GDcBJydHOnWpRPvDDU8Nk15JDgmnqX7TvHNwK4Mbt2wtNUpEao31L+x379xlE8XXqFRNV/GLVhNlrrwMUSsrSx5eHo/3037hD9+ns/GJfM4+uev1KleheVzv+ajkW8THRvHiE+m8cfO/QDUr1MdJ7eKWNs5Y2GtXz508azCyKnriI8JZfr79Tl/5I+S6DLhj2+zbuG7HNn+Y6GdEY0hMeYej27+wfXjs9i3piP3Lq2kRrPxtO23iejQCwDITcxx821fYjqIPMfThHxF+ZQxEhISWLlyJVOmTCEuLg6Ay5cvExpqnIM2iFmCC8XNyDg+2nWKae0aUNneGhdLs3IRybBK5cqsW72SjX/8ycB+fXF2duLXlct5rfcbzJ43nwXfzc5TLiMtCa1GjUye/04OQRCIjw4hMz0ZQRAQfKUs/PEnFi7OuT0yLS2dA38f5sDf+uRO1apWRavVIpP9t9e5v992BAnwZrO6pa1KiWFuaUeXgV+xb8PXmFva8fngXnT9ZDa3Hj3Br4p3oeuRSCQM7/d6ruNmKiUfvz+Mie+9TYOufZk6e0G+jvNN2vXHz78n73cxY+mM/jRu28+YbuVAEAQe3T1H8P2LnDm4muD7l7LP2Tp6Uq957yLVHRV8mvTUGJw8GiE3NSch6g5Bd3YReOVXAMysPLB1rkXtFpOwtNVvu3d0bwSAe+XOyE3EmE4ihnP9+nU6dOiAtbU1QUFBjBw5Ejs7O7Zu3crjx49Zu3atUfWKRkkhcDJX4WVrycoLd9h3PwRncxXvN6nB2Ga1S1u1ItPSvzkt/Z+FDHZ2cqTP6735ecUvfD75Uxzsc2+tVplbU7lOG07tXU6Lru/lWe/ZQ2vY/ds04qNDso85zZtD2j/r+ONGj+KNXj3Zd+Agt27fYdfeZ8H15i/6kbXr1tOgvh+DPl6FnWP5zq2RFzqdjtWHz/N60zp4OdmVtjolSpeBX5GWEsfpfcuxf/1LAO6FhBlklBTEpeu3iEtI5LX2BefzMFWoaNdrNIe3L2Hj0k+IfHKfO5f/5qtll3CtYHhAqH13HvHd6qbZ/1cozen21ldcPLqBS8c2Gm2UpCWHc37fFMIe5N6SrjR3pGKdt3D1aY1rxQ65XqKqNnofeESNpuNyyYqUEEVdgiljyzcTJ05k2LBhzJ07N4dTb9euXYu0OUU0SgqBk4WKlW+0ISY1A+/T11lzOYCZRy8TlZrOF20bYFrO3ugPH9VnaLbKZ9eUf9f3+XXOQK6c3IJfiz65zv+1/CPcK9al7weLuXluJ6f3r8TC3JzPP/uUzz97FiBu9PsjAfh+zkzm/7CYZStXARATG8v+g4fYf7AC70yYi9LMnITYKJxcK1CvSXvsnYwL2PSqIJFIaFLFi4NXA0hITcfGXFXaKpUodk4+aNSZ+Lg60aVJXcYt+BWpRErfdk0LFi6APX8fZ+iEKVT19WbW5AnciskoUGbwh4sxs7Dh0F8/YGnrRGZGKveuHzfYKLkVHsOyk9cAmLc5HjMLmxznt62eTJU9bfHv/C5SA54jGWmxHFrfF606nZavryA+8hY3Ty8EoG3/9di5NkKaT6h5uaneB0dh5oDGuEj2IgYiIEEwMiT/U/myxIULF1i2bFmu4+7u7kRERBhdb9kyvco4DuZKZnRszNYhXdDoBH4+d5uN1wILFnzFGDJIv9tpybIV2c6n/6Z+y37UadabP5aOIS7yWY6HrMx0zh9eR1pKPG16jqdO056EPLiMvbM3Hdu3e2GbSqWSqZM+wdtL73RnaaHPRGtj58yqhZNYMnMMG1f+j4XTRzCsqzcThzYjJSm+uLpc5pBIJEx5oz1J6RkER5fffj7FyUM/2IfGxLHis/do37AWw2Yu5fztov2+stRqpi9YgpWlBesXf4elZeHCfEskEvq8+y1Ldicx9/cHmCpUZGYYFutk5v6z+M9fT2B0PGO+2ZvLIGn/+kRqNuzGhh9HcXp//js8/s3NkwtQZyTScfBWJFJ5tkECel+S/AwSEZHiQKlUkpSUlOt4QEDAC/PaFYb/1J076fSLB8X8mD4oZ3ChqmnpeOy7hIebC20nfgZuuZcX6tY5blRbb+wzbtun+ViL7O8mMi39ucX69/5CrX3x25fdlryj8AmKD6nbOpFFS35mzeYj1G01DteK/lhY62cnOrbVp09775Pv+GxYI74c7o2HTw0kUilhjwPQatT4Ne9K205dOHv4N0ICL9PpjVE4HM8/CN6RO48IehyMylTOey3rMNi/Ln5fLM0+L5NbIpNLUGfGc//WRUb17UhijP4t1LfOGLyqD80uaxuwGp3CFKZM5sqsdUgzCxde/Uvlb4Uq9zxpwlGDZQDizlzK97xdYgqeVuY8OHMZj/Dw7OOnBv9pWEM6NarYvXQ69B5yrWFJ6Ga6GRcefXCXRIPK+3nUZc0cFRNmLWH1u71YO6A9dW/fZ+HqTfw2MrevyPNsJ2/H6PiYMJZ+/SYPH4fQqE0/rpq+ybVoNXbsYU90E8zNdHnK5UbA2s6ZxJhHmCl03O8xPf/SgsDKn+ay/NB53h8/hWEjJ3A8wIHk1H+3J+GtT7Yyf0It/t72A7X8387lpzU3bWKebXyaeYEYIY0vs2bxZ3gQT5827pZmbKh8jePdvPPVMSlGv6x6aG0bKtfrwPBPV/P29g/ylXkRNgmGR7wGuNVkqsEyXf/sZVRbvGCXuUBh74Gi87LDzJc0vXr1YsaMGfzxh94hXCKREBwczOTJk+nTJ/fseWEpl0ZJx7AV2Jkpch0/yohiqd/cTMXFA1uRSCTlwuH130gkEpp0+Qrf2r05vvUjjvzxASam5jToMJlqjYcANgA4u1dk0R93OX3oD47tWYt3lXp0ev19avi1wrNiTSQSCZdO7wGgy5ujIW1zvu3GpejfRNOzNHy/9zSDmtVBJleh1ej9UNSZCQDYONVHp83CzrlJtlGSklD+ZqwsFSaEJKWSlGVcNuFXCZWZOTPn/8L/PnmHTzcdZPWIXnzeoyUjf93FnD2n+Kybf6HrSktJ5PyRDaz/cRxarYahE5fTqpvheVaep2rt5ty7cabAcvFxMcz8aiJHD+5i9IQvGD4qb6PiKVKplDdHr2DpF60ICTyPdzV/0lMTUZnnH7Z7crPa/P0onI8OnmdOuwYExiXhYqHijapemJsWnErg4onN+Hb0JSUpltP7f2XoxBUFyrzK9AjJO6R9eFjCy1NCQtF20JSxoWbevHl069YNJycn0tPTad26NRERETRr1oxvv/3W6HrLpVHyMpAWkAStPODgXpc3xh4mJTGUy3/P49zer7h4aDaXdjely5ujqdukMxaWtrh7VWXI2DlUq9sCmTznLaXTarFzdMezYk2SL65DrdFhpVIgl+W+fn0a1aReBVfuhkdT29OZCvY2tO5zFNC/fUY83outY32U5s8ibnpUfhMBARPT4su9UFY4/lifd6a6g03pKvKSaNmuK1/1as1HG/czvXdr+jeuyZkHT5i9+xQDmtTEy94mX/mIkHtsWjqRgGtHycxIxdrOhYlzDuBRsegO6ZVrNeXskT9RZ+UdaVgQBEIeP2TKR+9w784N5vywhnadCpezS2Whd2ROTYpmz2+fcWz7PIZ8+ie1mrx4hsjeTMnCTo0ZtO04iy/eZVbbBqhMCvc4FwSB7aun0b/jegaOW8yquSOIizQuB4xI4RGQIhTBY6IosiWBlZUVJ0+e5PDhw1y+fBmdTkf9+vXp0KFDkeoVjRKRArGwdqfVGwuo3/4TAq9uITHsEN991geF0gyVuRUJsXqnJtcKVfh0zhY8fWoAEB58nzN/62dHhrSzRp2RilYnYGOmZGrPVoxq1wjZv4w7X2c7fJ1z7zaRSCS4eufOmGqiKH/GyFOuR8WhlMvwtTUuTcOrSL/GNfhs8yFmbD/O4sFdmdS1OatOXOXio/B8jZKIkAB++KInqUmxvPbW59So3wE3rxooVManin+eyjWboFFncfnULqr2yf3QnT39Y/7a9CsWllZ8893yQhskAJHBNwFYO7cPMrkpAKf3LsnXKAFoVcGF2e0a8NWxq0SnZbCqu3+hZm7TkuOz46NsWTEJD9+6OLj6AA/yFxQR+QeNRoNSqeTq1au0a9eOdu2Mc43IC9EoESk0Ftbu1Gs9ng5tphH84CYXT+wkOTGWlp0HotVqWDZrFF+NasOU+buoXLMxTu4V6TviS+JiwrB3dKdOwknsLMw4FxjCpI0HUJrIGdG6QWl3q0yy814wP1+6y0i/quVyifBFWCoV/DSkG2N+28O1kEg+6qTffXM1JII+DavnKCsIAqtPXuXb/1UmKjQQM0tbhn28kgYt3yh2vSpWa0D95t1YNX88PTqdxcLyWRh6QRDY+dd6OnTtzVczF6NUGRb3o1aTNxg44XciHt+gfpshXDm+nguHVxVKdnAtX+yUCt7bc5rLEbE0cC04RYTC7JmRm5WRhn+nYQYnQxQxnPKU+0Yul+Pl5YVWW/xbt0SjRMRgJBIJXpVq41Up57T49CWHmfVxD754rwUe3jXwa9aFZh36Ym5hg7WdM30e6p3KOteuxJqTV0tB81cHxT/bQ21VpqWsycunf+Oa1PFwYviqHUzdog+oFxKr9/KPTk4jIDyGvTcC2XDuJtHJaTRpP4j+o76nRoOOmCpKZuu0RCJhxCc/MeYNH04ePUCXHm/mOOfg6IybewWDDRIAqUxGvRYDoMUAADwrNeTwlm+JCb/Pw4RkQpPSaOTmgFKet9N6p4puWJjIOfMkulBGiVxuQuO2z/KJbVr6EZuWfkSdVl/gW/dtg/UXKRzlzdH1iy++YMqUKaxbtw47u+KLpSQaJSLFhqW1HV8vOczhnat4cPcSezb/yPZ132Wf77NyGgBXgsIA6Fir8En3BEEgIzUMpbkrkjL24ywJOvm6U8/ZjuuRcaWtSqlQ3c2RPR8N4rUF64lLTWfLpTvYmiv5/cwN0tUaVCZy3mxUg571qpDU5/eXopODSwVcPStz89rFHEYJgIOjMzHRkcXSjm+tdqjMbTi8ZSa/XzxGWEoatR1tWderJfZmylzl5VIpNR1tuBNb+B1Pto4euY5dP/4/LO0q4+jR7D81OydiHD/88AOBgYG4ubnh5eWFuXnOpdLLly8bVa9olIgUKyamCjr30W8tfO+zpdy48DczP3oNgPl7TzOxa3Me//PwNJUX7vZTZyVx79I8IoP3o1A5oTBzokaTrzCzLN+JxHztrDgZHEFkajrO5Tx4Wl7YmavYNq4/lSYvBmDT+Vt0rVOJT7o0o5KTHaZyGdHJacw++Bvn/v6dbgOnULVuwRFbi0Kthu3Yv/tPRn04NXsJJzYmitu3rtKhW/4+IIVFobLAs3ITEmJCCPtnR9qN6Hiar9nDtr7t8nR8TlNrsVIUvOvmKW16jgbOAtC6xwecP7yB9NQETm17m6bdf8bVR8yHU9yUt+BpvXv3LpF6RaNEpMSQy03wa9aFP85oWL/0c6atnUNsShpxqeko5DJcrC1eKKvWaPl2xzGOHZiHIOjQafW7HjLTo8hMj+Lsnr54VhmAe6U+6HQazK18SEt6RGZ6NOmp4WyLjkZlruJV9lh5p25ldt8LoeWvu1nYuQndKnmWtkovHSvVs639Z754h5DYJC4FRTB372mO3X1MfNqz6KyVarUocaPkjWGfc/rA7/y04Bs++1I/CxgZHopWo6FBo8JvWy4IK1tXLh75FYCTQ7thrTCh+6ZDzDhxjZ+7NcNaoV/WS1NrWHT+Njei43mzuleh6t6yYjJ3r+xj4dyvATi2c2mOrar3L60UjZISoLwt33z11VclUq9olIiUOBKJhEEffMu2tXNYuP8Mg5vXJVOjZeeVu/TwqwZAplqDRCLB9J9181XHLzN/32msnZpgbl0RU4UdD67r35hr+c8mLvwsIfc2EnJvIwCWttVIjr+b3WYAoFKpyD9cW9mmnos9x9/uxuTDFxmz9wx7Blr+Z7YHP0VlasK1Ge/Tbu5aan3xc/ZxvwouvNPSj/reLtyu/Rnfjm2Kjb1bietj5+jOW8PHsG7VT4z/ZDoqM3OW/TgLgPR0wyK+5kdmRgoAjVwd8LbRG+/TWtbj3d2nqLtiO1+1rEerCs4M3HqcmLQMJjWrxfC6lQusNzz4Lvs2zUGl0s+8eVSsw/1b5+C5bMW2znWKrR8iIoYiGiUiLwWJRMKHnZuxaP8Z1p3WBzz74cBZtl26SyVnO/63XZ9vp3PtSnzSzZ/PNh2gvrcblo0WAXD/qv5fK7uaOHm0xcG1Bc5enQGB9JQwokIO4VqxF+6+r3Px4DAAVOUgloy7lTnzOzbhzT8P02fz3+wZ2Km0VXrpVHS05djktzlxL5h6ni5UdrZD8VxMjoOBN5FIpfj5934p+nTt2Y/li+dw+vgh4uNjOX1cnxBv5Fvd2HboCu4ehZuxyI/M9GQA7sYmEp+Ria1SQRdfd44P6Uq/v44y7dgVHM2U2CpN+bNPFyrkM+v4lODAq3wzyg+A3u/og1u17TVGb5QATl6tiHp8nMCrq6jk9w4qC+ci96PMo3t5iX/K0+4b0Mfqys/3yNidOeXSKIk4eIr0PMajbz/yM6q+YYtzO4UVxLehe4xqa3W1a0bJWdWtkf1dg5TDVGNZ/S3I8wmjHNXYuK2TjzKM82+IafAnbW2Pcuv0YqKCz3DmQTin74cgeS5Px6E7TzgZfBiFpQdWTeexq/cJAG41cuWtBU6Me606Izqc+FfNNsBTx8MYGDmPRSn+fD1Gv3d+f7/PqN+iZ6F01AkFl/k3x/5OMVwIiFV8V3AhAAXUfTuJPSvb8/Y1O4Y+NuzHLkVLLTN4Mvg7pDLDfvL35wQZVP4pqteMy31xscWXLzxXDcgAbvzr+NZpzbGyr8vW9fcLrN9UrmN0f9j4y0W0QuF9MJ5n1IT6VK7ZhKkfv4tOq0UqlaH7Z3D7etoUpi7YnUumXqXCh/fX6XTcu7ofgOQsNcvO3WZiff2Moodczhu+7iy5HkglK3MWtWmAg1RGVnJ6jjqOHg7L8X9BEFg/S//8q9dmCqa2bwKXSVY3wNqxKonRAUQ9fpYao3GlC/TuO7hQ+vrunlnovj1Pis8wg2XkE6cZ1Vbo7LyXGhIlLy+ZannzKdm6dWuO/6vVaq5cucKaNWv4+uuvja63XBolImUXt4ptsHWqwYm/3iP6yQUABJ3+gS03MUOjTsOv/Zc4V2iK0swO0EearFnBlasLJhW6nUo1GjFqin66f/4Xg3h30hLadBtagFTZxVRhhXulDgTf3cWTwPN4VGpc2iqVCW5fO09izFVqNpv1UtudOHMTX4/pgIlCSc9BH/HTNyMY8cmP/DJvHIlxUVjbORld97/fPvc/Dmd8vSrI/5n5G1u3CnUdbGnn6YxMWriBShB0VPYbiotPCypUew3QG1HXj88lMTogu9x3P67m03HDeRh4z2j9Rf4b9OqVOw/Rm2++Sc2aNdm0aRMjRhiX1uXVn98WeeVQWTjRaeg2Bk15QpUGwwCo3WIind/eiVOFZoTe3/+PQWI8EomEFh37A1DTrzU/fj2cs0f+QqvVEhv55IXhwssydVp+irmVB8u/9Gfb8vfQGphcLz0tlfNnjrH9z9/YuulXzp06UkKavhwEQWD1kv9hZumNg3vJOrj+GwdnT+avv853ay/j6lkFgKjwIADCgos2oEskEtbsvkuvgaMBuJ+QQtONBzkRGg2AUi6jo5dLoQ0SgDO7JnD/ylqS4x/nOJ4SH5Tj/5+OGw5AYmL5z0z9snnq6FqUz6tAkyZNOHTokNHy4kyJSKkhkUho1PlbGnV+lrzJyq4iYQ+PFms77376A8yfyHeT+2YfM1WoqFm/Ne16DKN5+775SJcdFGZ2dBq6g5ToHexdO5HwoCv0G7cee1e9g6MgCKQlx5IUF4K5lRNWdvqszsH3zlKrHvTuUI/ExIQcdU6cOosBQ0e95J4UD2eO7eHi6UPUbD67VGLXmJjqdwb51miEu3d1dv7+PRV8a+NT1fBlYo1azZbfFiKRSHBy86J+k3a8M/5bru5ag04QcDVXMvzgWX5s04Cu3oV36NVqs7h6+FuCbv6Fwsyeq0e+JSnmHvXbTACgWfdF1FdriIu4ybHNw7Ll+r9VPMlLRZ5R3pZv8iI9PZ0ff/wRDw/DXR6eIholImUKiUSKUMzOZ44uFZg05y8un9pN8MNb2Dm6kZwQy4UTO/l+6gCu9TrIqCnLXomAUVKpnCadRuNRqTFbfhrG8i/98e/xCVKpnCvH1hAdeju7rEJliY2jN0nRgXTbsIFhoybSrGVHKnhXQiaTMXfGJyxbNBPvilV4EvKIqxfP0L5Lb9p27F6KPSwccTGRzJ8xjkb+HTBzfbmzJP9GLjdh2g/7iYsOpWLV+rmSUhaG2OgwVv3wRfb/Pbwq8/3qI1SyseBBYgrrujTjw2OXmXLqOq3dnTArRPK9rIxE/l4/gPio2zTs+A2+dQewaV5lHt7YjKNbVWjfEIWZHTKdDDNLV1b+voM/N/zKkBGjqV6zrsF9EMkfgSJuCS5jCxu2trY5npmCIJCcnIyZmRnr1q0zut5SN0qWLFnCd999R3h4ODVr1mThwoW0bNkSgIiICIYPH861a9fo3bs3ixcv/k9k5/0vk5EWS3pKBBp1OnKT4gsYJpPJaNSqJ41aPXN47fnWRPZs/olf5o1HKpPz/mdLiq29ksa9YkNGfn2C/esncWTzdJBIqNagJ23e+Bw7Jx8SYoKJCr1DfOQDOrz5OQADh36Qw9H1/fGfc/bkYca/2yf72NGDu1i6die16zV62V0qNFmZGUz/+C10Oh2ffbOMxUujS1sl7J3csXdyN1reybUCnXsP4+DO3+gzZAKHdq7j03c7MNLDib9DInmQmMKgql7sDQonIi2DigXsttFqMjm2+R2S44PoMmw3di61CL77zAG3Yp3+/DsBX/1GzajfqJnRfSjviGNVThYsWJDDKJFKpTg6OtKkSRNsbW2NrrdUjZJNmzYxYcIElixZgr+/P8uWLaNr167cvn2bChUq8MUXX9CoUSNmz57NlClT2LBhA2+99VZpqixSgiTFPeTJ/QOYWbkhkb4cr/hufccQHnyPQ9tXMnTcXBSqgrdWlhVUFrb0fm8FXYcuAEChfKa7u28jav7zXYoaOJBL3sbWjnVbj/P40X28fCqTmprMuBF9+HbaeDbuPPMSemA4WVmZzJz6LndvXmLBL/uwd3QFSt8oKSoSiYQPpy1BIpGy+dfveeu9zzm8dwPfXQzE3VzFx8evMLmRfoddbEbmC42S6LQM5l66y/6YtqQlR9B+0EbsXGoBcP3499g616LLsF2YmpTvAbO4KY6xqrwt37Rr1w5PT888Z5iDg4OpUMG4iNulemfOnz+fESNG8O6771K9enUWLlyIp6cnS5cuBSAhIYGaNWtSu3ZtfHx8SEwsfG4HkVcLnU7DrmX6afgWvZcgk728RHTdB04gKzODP1YYv42tNFEoLXIYJIZgbmFJjdr1MbewxMnZjfqNmqNRG+ZA+7IIDX7AR8M7c/rILr6Ys5qa9ZqUtkrFikwm46OvltK6c1/+XDufnv0/wM3CjPjMLG7HJTHpxFUAfria25H2ZkwCn564ymenrrHtwRPcfNvSftBGnDyf7dLyqNKZ+MibJMbmvXU6PT2Ne3duAnD5whlW/byQoIeBxd/RV5DiGKv0cUqK4uhatowSHx8foqNzvxDExsbi4+NjdL2lZpRkZWVx6dIlOnXKGQyqU6dOnD59GoDJkyczfvx4FAoFV65cYejQV3dLp8iLyUyP5+imoQiCjprNxuLo8XKXDpzdfKhWx58d6+eTGP/qv3UXhbMnD1PBu/CJEl8GgiCw448VjOjTmIS4aBb+eoBWHXqXtlolxsTpy/Fv15tVP3zBdy3rMbCqF5VsLIj4J6T+qbAY0jXPDEetTmDk3xfY/SiU0+ExTGpQnUadv81hkAB4Vdf7Cu1Z2ZGYMH2ytJNb3+fy399w4+QC/Ot6MaBXWyLCQ1n03QwWz/+WoX07IwhGBO8pR4hjVd686L5ISUlBqcydOLKwlNryTUxMDFqtFmfnnFEDnZ2diYiIAKBhw4aEhoYSExODi4tLoevWyk3Q5mFuaYyJjAWYyAx3vNSZGPemrzEwuFW23HP25dPvmgJsTmMj7j2NK2Iocmne7d258gsJEedp0PZjajQfi1TyrJzG2ClLnRqe6lmAvhqNhsz0RFQqFUF3z1O1bguUysKnoJdJjLweRtxX8HQ5xpDyev10BWwh1ul0xMVE0um117PLmshfHHwv37oM3K78lH/fW4IgsHLhl2zbtJwefYYzfOw0VGbmOcqZGqDj0/6YyHVIBeP6hs6w6w+G/WYUChNGf/YdF0/u4UhkPJOb1+MjrZbBe88QnJxG/6qemCpVPL17otIySBIk/NixGS3dnZBJJfwvj99axIPd2eHlz2x7h5E9VxEffo709KOAPi2Dh6cXDg6OWFvboFKp0GrUCDotT5+carUaE5OcQec0RgYg02qNuP7GyKAfE/I8Xoj38uIaq8rL8s3EiRMB/ZLjl19+iZnZs2elVqvl3Llz1KtXz+j6JUIpmcFhYWG4u7tz+vRpmjV75lz17bff8ttvv3H37t18pPMmKSkJa2tr1q9fn+NCiYiIiIiI/Bt1dBR9R75HYmIiVlZWeZYp6lj1dFy6cvUqlpaWRuuanJyMX716+er6Mmjbti0Ax44do1mzZpiaPnsBNzU1xdvbm08++YTKlQvOxZQXpTZT4uDggEwmy7Y0nxIVFZXLIjWUv477gNw613Fbp9zHCkPLVoaHzPb8sIVRbdV9t61RcldbfZ79XdBpSH58HEuvVjlCuP+bJ/HGTbH9+fvtggvlwexPcv+Qtm/7ixnTp7FqzTrq1s0d38HjyWmj2sqwdUejEzj/JInGHlbICxFoKiMjk64D3uFhdDz1vVy5EhyOysSEcR0a82HHF/svpIWEvfBcfhzv8nPBhfKg1uLeBpXXyU141PcdGlzZhyyfN/afz9/iu+NXOTf6DRzM9G/Uy3wXGqVjcrLhswkAY+++n/39WEgk4/++wLBavnzUsPoLZVLGzSt0/TqtlqD71/CuXBff+8algpj6oJ/BMhMCPzBYRhAExm47zfXUFFZXrY4OGB94jyeZmSzyrUw182cvXnOCH3M6KYlZPhWpYW7OV245I9wG3/2FsKAteFV/n+T4O6QnXmDVqlW88847pKfrQ9RvtKmC6T9bVlN0Wj5KesRbZo54SE2ZlKwPulZDbka6oOOxNoPfbfRB4/42TeZxZgZeCiWdbGyxLORsr9La8NnkSnONCzM/ak3ecTMslAXHfCnJsepV5MgRfdDF4cOHs2jRomI3kErNKDE1NaVBgwYcPHiQ119/Pfv4wYMH8wxfawhqnQy0uacUNTojuysxPEeGJNO4iKFywbgp/byMD4lUnq9RYky/ANQa41yRZLLcf5OMjAzS09MZ+tYAzpy/jKVlzhtcbuSM5fNGiFwqKZRRYmGmZOsHr6MyNcHGTElIXCJf/HWE6VsO8cO+U7St5k3b6t7YW6gwMzWhdVUvZFIpciOXKpAad/1lauMGfJlOgzwfo2RgDS9+OHaJKbtOsqpPGyQSCTqM01Fr5ASsTKPv24KLd1h46S4t3B0ZXdM7+3ieMnncVwUhlcmQS4zTUWvEcyQ//fPjXTt7BkVGsOpxEOPcPVjp5cMbt24w/vZNxri587qD/oVprL0jRyMj2RkWhq2zC1mOEgRByN4ZERVxBXPbZlg7diTw5mrcvPRO5enp6WRmCTTptAPFuQkA6AQBFTBOZkdYWjppMi2jpbb8kBrOJZ7l2Dkvi2VlWiRxgobKShV7M9JZGRJEfXMLGltY0dbKBut8YrZIMgWm33+IXCJhkq83ikJsoS3M7zgv1HmMBwBaXcH3TnGNVYIgQRCKsHxTBNmSYPXq1SVSb6luCZ44cSJDhgyhYcOGNGvWjOXLlxMcHMyoUa9mhEkRw+nYqTNff/UFarUadRnY9eFq82x61dPOmsnd/LkVGk19LxfuRcQx7ve92Vne63g4MW9AJ+oaazmVMezNlCzs7s+wP48wef85ZnUund0t8RmZ/HztPk3dHFj3mv8rEdSupHAxNWWkqxs/hYVSUaniNXt7FvhWZnl4GAuehNDZ1g4zmQxLuZz6lpbsjotld1ws3GmLTG6GrVMzHFxbkRx/CxvHxqSnhqDJSiT6yUHgHQB02gx0uiwA7mnSGZ/0KE9d/E0sOaVOzv7/zJQn2EvkrK1UDXdTBXEaNTvjYrmQmsyPEaH8FBFKYwtL/C2taWNlg9m/jMd0nY690TEA7IyKZmuDurgXwUGyJCmesUpaxABoZW8b94ULF9i8eTPBwcFkZWXlOPfXX38ZVWepGiX9+/cnNjaWGTNmEB4eTq1atdizZw9eXkVP/S3yarD4x0WYmJgwc/Z32NkVLd9NSVDdzZGLX43M/n9SeiaZag33o+L4fMsRXluwnu+7NKVfrYrlYvDsVtWL+d2a8/Ge09iqFJhXefk6LLlyD0EQWNi2Ybm4pkVlgKMTwZkZfP8kGJkEOtvaUdPcnCspySifm12Y7uXDw4x0jiYkcEip38EWG3GCmDB9HhJruzpYWFdBYeYKQkKONoID9G+9jv/M3qmQUt/EDAkS7mkziNKp6ayw4bYmjfjnZnPrm5hj9o8OdnIT3nZy4W1ciNeoOZAQz/GkROaGhbAuJpJvPX3wUT4LiGgmk7GjQT36XrlOpk7H65eucd6/bG7zFseq3GzcuJGhQ4fSqVMnDh48SKdOnbh//z4RERE5ZpQMpdQjuo4ePZrRo0eXthoipcSJ40fp2q07PXsZfxO/TKxUClApcLQy58Anb/Hh+v2M332a2cevUtvZjh+7+2OtfHkxVkqCwX5ViEnLYObRywxvcw6PSi9voAhOSmXF9UBG1qmEq0XxRfR9lZFIJExw9yRDp+N/wY85nZSIlUyOk6kp0ueMNoVUSnUzc6qbmRPk8QkA7hX7k5EWhtzEAktbfTg9J4/OxIRsytFGeNAWsKuBrVTOXtvqCJCj7hSdFnOJlNlW3oRps7imTuWKOpWjWUkcu3ebTjZ2jHdxz16CsZWb0N/Bif4OTjzJzOSLkEeMCwpklW9V4jUarqWmsPNBHMEZGdltVFQp+SIgkHStlu9rVC2py2k0RR2rysvum6fMnDmTBQsWMGbMGCwtLVm0aBE+Pj68//77uLq6Gl1v2ZsPEvlP4eHhyY7tW8l47uH0qmAik/HT4K5s6t+e3tW9ORD4hM03H5a2WsXC+Oa1cbEw49KR5S+13b2PwhAgX8fW/yIKqZSvvHz4xtuH44mJbIuNISgjgy7Xr/G/x0EkazQIgsCZpESCMzKyY0ioLDyxdWqSbZAAyOXPAu351BoPgJNn1+xjEokkh0ECYCGVIZFI8JIpsJTI2JYZh5vMlPU2VRju6ML+hDg2xETlqbuHQsFU9wpoBIG+924zJfghP0WG5TBI+ro487tfHQ7HxnEiPoFVIaGkaEp/Obc4eWqUFOVTlnjw4AGvvfYaAAqFgtTUVCQSCR999BHLlxv/3BCNEpFSpUtX/U09eFA/kpOTSlkbw5FIJLTxceOrdg1o5unM8aDw0lapWJBKJHSu4sn1U+tIig99ae06m+l9ClbeECOJ5kVbG1uWV9avqQmAjVzOvvg4ut68TstrV/j04QMG3b3NpcMDSE64m2eAK7eKb9Kg3QYAnD260LTrPirX/azQOsQJemOhilyJpVTGIEdn6plZ8HdifJ7lNYJARaWKn3z0W0RjNRp62trjpVLSzMaadXVr8amvNzKJhO+r6/v2c/AT2p27xNaISC4nvnrPhbwob0aJnZ0dycl6HyN3d3du3tRHA05ISCAtLc3oekWjRKRUGfTWELZs20XA3busXLGstNUpEt62lgQlJBdc8BVhWtsGyOSm3L249aW12auSfutmalb5eksuTiqrzPjKyxs7uZwnWTl3+SmlUjrZ2pKZHsn1k6M4s6cDdy9+SWZGDKlJD3l0ewlRTw6iztIP9KlJgUQF7yElUR+6Pl3QEahJ51RWElkvCC7XytSKbbbV6Kd0ACAkM4MLqckEZ2WyMSaK8H90ytTp+CkilF53b9Lr7k02PTeT8qa9I5vr12VRzWpUsTDPPt7M1obFNavxjod+q+7y4FBG3bxDx3OXOB4bR1xC+TBQygMtW7bk4MGDAPTr148PP/yQkSNHMnDgQNq3b290vaXuUyIiUqtWbUaMfI+flyymZ8/e+FYyLuhOaSIIApfCoqnv5lDaqhQbVkpTzK2cCL53msYdx76UNgVAJpGgMGKb738FiURCR1s72tnYEpSRwZ20VABupaVyLimJA/HPZiwEQUtsxHF0gob4yGcxf1QqFYzZwI3T40lPT8fFqzdr06JYnxGTXeZjczc6Kmzy1EEpefY+eyHlmSG+NDKM9TGRDHZwJigzg90JcbSzssFDoWB9TBTtrW0ISE/n46AHzFJVpo5V7mBijW2saWxjzfsVPIjMzKTnpWskajR8cvc+s98cQeChzUZfu9KkvPmULF68OHvZfcqUKZiYmHDy5EneeOMNpk0zLp4MiEaJSBlh9OhxbPnzD1Ys/5nZc78vbXUMZuGZmwTEJDK9XYPSVqXYEASB9NR4LKycXlqbUomENyp7suFuEB/Uq4zKRHxEvQiZRIKvSoXvP6Hju9vrDeI0rZapTp+j1aQSF3UOpcoFJFLiI09jZuVLWtKD7DoUKmesnfxIjL2SwyB5U2lPG9PCBZvsbedAIwtLzKQyTKUSvgoJYkVUOFmCgJuJKWNd3LE3MUEpkbI8KpwaKjNuZ2Xy7o3b9HVx5pOKXnnuspJIJLgolfxWtyZDrt0CICY+geTUNCzNiydit+4lBjQvT3FKNBoNO3fupHPnzgBIpVImTZrEpEmTilx3ufzFN27tg8LMPtfxi6dDjKqv18UJBsuE1zEu0t+NNUeNkqvW8VmoY41WxyWgsuwectmLV+hSLGob1dZfPY8YJRenafPikzIYNWwwM79fxKcfDMfLUz+Nn2ljnBf3H5GtkQhqnNnD1ih/hEIGinvb5ZrBbS2+Gcns41eZ/P5Qur43pNByHUzPGtwWQNScNQaVF7RauHuZmNshSNVZBQs8R7OOg7l8/A8Gjp6BpXXhZ4G2bTTOJ+TP7lvwqnGTmIn1GR7mxpujlhYo0/t/PQpdv1ZuAj2GofxuPA9jjVsKkLQcbLDM23GF99l4nh83VzRYxgqYm/40CGH/5858giAIrFj0Jds3LAFg3vINOLv50KO5Pl/L8A/n0OutCUilUgTg+bslIz2V6IhgPLyr5TAiNu2Ky9F+HcA3MYzzB6bTsMMX7LR9lsK+8ZllXDjwLBv35ohIBkwaRafmLzbmK2apaf/p/7gZGERkbDxVXxtD56GHkMoKH9ivZae8s9bKM8P4vdC1iDxFLpfzwQcfcOfOneKvu9hrFBExkqED+rJs1Vq+W/QTi+fNKligDHDyViDf/LSaSSMHM9kAg+RVof3r4zm+axmPAy5Sq3GXl9Kmq1ct6jR/k/DHNwssmxQXjk4Qcu0WEckbiUTCexO+YfgHU0kPPYFPpZpIpHJW/HkOTO1wdvPOU04QBCa905Kg+zdw96rKoPe/xMWjIk+CAkiMqYK1Q87M0tdP/kjQre2YmJrToteC7OM1m71PpXoDSIoNpJ50HXGJyTSvVyNfnRWmJmxb9DXpGZk4temLVGaCVpNhkFFSFihvyzdNmjThypUrxR6rRTRKRMoMKpWKj8a8z+Tp/2PE0EH41TFuJudlEZWQzLif/6B+zarl0iABuHvlMAC2Tp4vtV1TUxVadf6pGsKDbjBvQl0Cq1ZgRtOyfa+UNeT/yvTrW6U2KVl5D/LREcH8b+IbBN2/AUDo4wC+m/pW9nmZTMGgz+4iN322pPLw+p8ABN3eSZMu32CieLYNWaGyxtGjAZ91McyZWaVU0Gf8g4ILllHKm1EyevRoPv74Y548eUKDBg0wNzfPcb5OnTpG1SsaJSJlioFvvs7ajZv55PPpHNrxZ2mr80J0Oh0dPv+B8LhE/l74LdJC5O141bidkMymXRNo03M07t41CxYoRqzsXLl37dALz6ckxbDtlwkA/B4QzPDqPvhYW7ywvEjhycxI40lQAD5V6urjTgxuQlJCDMMnzMW7Ui3qNm5PROhDTv/9F2sXf465tTtSuSJbPi0pgqzMJGr5j+XmqcUE3d5FZb8BpdgjkZKgf3/90uD48eOzj0kkz3IuabXG5XETjRKRMoVcLqff6z2ZPus7oqJj8LEoW28HTwmKjON+WBTLxw2iqk/5DDX9+6Mn2Lt4M2DMopfetlyuICszLUdSuec5d2AFgTeO0Pb1Tzm69TvORcaJRkkR0el0zPt8MCcP6ne31KjnT/1mnUlKiGHExHn0GvRhdlk3z0qkpep9clq/+TNS6bPdUmkpkQB4VevC3fOrOLn9QzTqdKo3Hl4iemekxZCREomN08s1nA2lvM2UPHqUd46kolL+Xu9EXnne7NUDWxsb+r79Lpdu3i1YoBSQ/eNA7GZXuB0Krxo6QeBMdBx+/r2RFTIVfXEiMzElPSWOrMycQZi0Wg2n9/3M/o1fU6l2Ozr0+wIBuBAZl3dFIoVm9aLPsg2SsV/8TMiju6xb+iVADoPkKcf3bcTa1hEzi5xO/XIT/W6gzPQE6rX+GICzeyYT8dg4x+6CCLi4lL839iQi6FiJ1F9cCEiyd+AY9SljRomXl1e+H2MRjRKRMoetjTXbN6zBTKWi49tjmfC/+UTGlM1BR6PNO8DUq86N+CSiMrKo27zwqdmLi5SkGM7sW0aNRj1RKPXr1OmpiWz+6T2+fc+HLT+PpkGbwYz8cjcX/v4VgNtxYlAtYwkNeci4oe3Y/vtCho79lh0X1XTqPYIfNlzii/lb+WbpgTzl3vnoOzTqLP5Y2ICrR79H0Ol/C3GRtwGwcahM7RZjGTxFn3ohMfpeiehv51wXgJun5hZaRhAEAq4e4OSBX0tEp/8Kv/32G/7+/ri5ufH48WMAFi5cyPbt242uUzRKRMokvj7e7N78O7M/HcvWA0fx6zmYaQt+Jj0jf+fHl0XAE/0UdRX3lxfD42USlJoOgFel+i+tzYzUSPb+/gXfjatJVmYqPYd/l33u2qk/OHtwJZXrtOf9rw/Sd/Ry5CYKNGp98KY5/sY51f3XiYkKY8hrtbh1VT+L0e3NUdnn7J3cadyqO3Ubtc1Ttnm711m56wF1WozjytHv+GOBH4/v7CHw6iZsnWtgaecNgInCHAe3etw+tzLbcClOPKv2BCAx9i7qzIIjKmemp7Bj9ces+LoLp/avLnZ9XoQOSZE/ZYmlS5cyceJEunXrRkJCQrYPiY2NDQsXLjS6XtEoESmzyGQy3hvQm2u7fmfskL4s/m0zQz7+iriExNJWjTN3H2KuNMXLya60VSkR7Ez1OzGSEvJOslbcxISe4ejm1zix60fqtejPh3PP4eBaKfv81VOb8anegoEf/kqVuu2zHYsf3DyGn6MNdRxsXoqe5Y0Tf+/I/j7xmzWYWVjlUzo35hbW1G83mW7Dt2Nu7c7hTcMJDTxMjSbv5ihX238sCdEB2bMoxU3v0bfo/u55TBS5I8T+m81LRnJi50IAOvf7tET0yYvylvvmxx9/ZMWKFXz++efInovA3LBhQ27cuGF0vaKjq0iZx8bKkqkfDMe3ggefzvmR/y1ZzfypE0pVp9+PXqBX07rlctcNQDVrC8xkMv5Y+hGjv96ap7NpcfHwxhoCLizA3q0pE+buRGmWe2A0t3IgPiooxzGNOouggDMM9yk/of1fNn+sWUSNuk1Y/NuRF24JLgzOXk3oNnwHEUGnkJmocK7QOMd5G6dqADy5fwhb5+o5HGOLA5lciUyuLFRZa3t3ACrWaEWdRt2KVY/8KE8RXUHv6Orn55fr+NOMwcbynzJKngQ8NkpuV88FBRf6F02vFz7K5PPYetkYJTd+hW32d7lMS3//J0xaY4NG++If/9qWS4xqS2dvXJTV6A8Nz59SecCzxE5DPJQcqVWRu9euYnrtRL5yPZvaodXquBQI3TxuZDumFsT8a2MKLJMUF8aTmAmkV32P+ZnDefO71wpV97/Z8vpuo+SO77llUHkTuY4RPeDOR9tBWviB572Wf7Bw2kA2/7oDe7fcD5/8yEgpXJbQwGs/8fjOr3hU6U/luh/SZWXe1zIpOpKvAwKpPrcxzkr99tPjMXGkp8TT8n/bia9WuJ0XOq0G7p0h4eNl1IwxzjHy09/eNljGsatxy0trAmcYJdfht7wH2yytjp1BYQRnaej81Swk6cmsrGiOw+w+rG5nXOLFHl2fj579xgtK2ZMQNJQju2cRG7ybcV/+QriD4ddk0gc2AGRkpHPxzDHq1G+KlbVNgXInnvOX7zFsHt0Gz0ImN4H0MIN1ENHj4+PD1atXczm17t27lxo18g+Ilx/l0iiJi81Cnlo2fA9EihcXG0suPQottfa1Wg0bFw3EwsaV6g2MMzxfFZq06YO5tQf3rqyhmYFGSWEJDfwTR4+2VK3/Sb7lAlJSUUilWMqfPbL2RURTydyMyoU0SP6rpGu0/H7vMUfDorkVl0iqRounrQ2dgZVtGuKgUhRYR3Ew7stVdOkziq/HdeGToY2ouG0ntWoZF/Tu1LEDTJ2gNw5/+nUHDZu0yrd8dHRe40EmmcnGxdIwBoGibet9eVl6Csenn37KmDFjyMjIQBAEzp8/z4YNG5g1axYrV640ut7yOfcsUm4xMzUhNVNdau2HPrjA44BT9Bm1EnOr8r1sIJXJqNrwXYLvbCcm7HKJtGHn2oy4iLPodC+O7nklIZGNT8J5w80ZM7l+5i9Dq+V4bBydnMv336AoRKVn8Onpa/Q7cIYF1+9hIpXQr5InW7s050AP/SBe6SXHdqlcszEL1l/FzMKa7+bONjrAln+rjjg66WdsxwzryYY1SxBeYnI9YyjSduAiLv2UBMOHD+err75i0qRJpKWlMWjQIH7++WcWLVrEgAHGB8sTjRKRV4qopBQcLIsnQ6ghpCZFc/vCdn77rjdmlvZ4V8//zay8UKneEGyda3N290clUr9Hpb5oNelEBue97RTgTFwCCqmUMb7PponPxiWQrtXR3jF34k0RPW23H2V7UBgKmZTNnZqxul1jptSvTs1Sjq3j6FKBwaO/5czpU9SqUYUnTwxPlKpUmbFpz3latdcvUy2cPZWrl84Ut6oiBTBy5EgeP35MVFQUERERhISEMGLEiCLVWS6Xb0TKLw+j4vF1fjk7XjLSkrh2cj1n9v9EdKg+G6bKwo4xsy5gYlo4p7pXHalUTiW/IZzf+wlaTSYyefFO9ZtZ6nPqCPnMlLgqFWgEHYlqDap/vPxPx8ZTQaXE29yszE1rlxVMpFLUOi3r2jdBKS9ex9Ki0va1t4l7dII/N29i/769jHj3PYPrMDe3ZO6Pv3PmxCEe3L9DrToNS0DT4qO8RXR9SlRUFAEBAUgkEiQSCY6OjkWqTzRKRF4pAiNj6dukVom2kZmRwv71U7hwaDk6nZY6zQfQ9o3PsXPywcreA2s79xJtv6xhYqKfmVJnpRSrUaLTaYgI2ltgufaODvzv7gMuJyTSzcUJjU7geEw87Z3EWZIXEZySRppGy1cNa5Q5gwRAoVQxc9Yc0tPT+H7eXCwtrejX3/Apf4lEQvNWHWneqmMJaFm8lLfdN0lJSYwZM4YNGzag+yf+jEwmo3///vz0009YWxs3IycaJSKvDGmZWYTEJlLFteT8CDIzUlgxvS0x4QF07P8NNZv0wd7Ft2DBcszTnCLxkTdx9Wld5PoEQSD0wV8E3VpFZnoUDm4tcK7Q6YXlLeUy3JQKlj8KITgtg9Nx8URnZdHdpXwGrisOzP8xRCLSMkpZk/z5bt4CrKys+OLzySiVSnr26l3aKokUknfffZerV6+ye/dumjVrhkQi4fTp03z44YeMHDmSP/74w6h6jfIpWbp0KXXq1MHKygorKyuaNWvG3r3P3ngEQWD69Om4ubmhUqlo06YNt27l3MYYEBCAv78/Hh4ezJiRc9vblStX6N69O05OTiiVSry9venfvz8xMTHGqCtSTngQpQ81X9m55N6Q9/0+mbjIQN6fcYJWvSb95w0SAAsbL5TmToQ/Kp7cIklxtwi4OBtTpS2Nu6ynbqsF+caYkEgkzK1dDXeVkhVBIVjK5cytVZXqVmICvhcR/o8xsuz2QzKNdCZ9GcjlcqZ//T86dOzE0iWLS1udPCmO8Q70u2d0RfiUtWXK3bt3s2rVKjp37oyVlRWWlpZ07tyZFStWsHu3ceEOwEijxMPDg9mzZ3Px4kUuXrxIu3bt6NWrV/YfYu7cucyfP5/Fixdz4cIFXFxc6NixI8nJz0IAjxkzhiFDhrB9+3Z27tzJqVOnAP36VIcOHXBwcGD//v3cuXOHVatW4erqSlpa4WIfiJRPIhJSAHCzNSzqpCGEPrhItQY9cPWqW2JtvGpIJBLcKrYl8vHJYqlPodTPdHlU7oelTeVCyVS3tOCnejU51bopP9WrSXsncddNfiifi8sjLcHAd8WBRCKhSZOmhIQEl7YqeVIc4x2Uv9039vb2eS7RWFtbY2trm4dE4TDKKOnRowfdunWjSpUqVKlShW+//RYLCwvOnj2LIAgsXLiQzz//nDfeeINatWqxZs0a0tLSWL9+fXYdCQkJ+Pn5UadOHdzc3EhM1IcOP336NElJSaxcuRI/Pz98fHxo164dCxcupEKFCkZ3VOTV50FkLBIJOFmbl1gbpgozNFlle8q7NHCv1JHEmABCAox/A3pKUrzeadjWuZHBskpZ2fOPKItUsrakh5crliZypGXUQfJ5LCwsyMrKIvD+/dJWJRfFMd6VR7744gsmTpxIeHh49rGIiAg+/fRTpk2bZnS9Rd4SrNVq2bhxI6mpqTRr1oxHjx4RERFBp07P1ogVCgWtW7fm9OnT2cdmzJhBx44dMTMzQyqV0rlzZwBcXFzQaDRs3bq1zO87F3l5CILAsr/P092vGkoT48Nh58eZ8xcJCTyHRyXDB8vyjptvBzyrvsaZXR+SEHXH6Ho06jTCHmzDVGmP0sylGDUU+TcDKlcgWa1hTUBQaatSID166LNRX7hw7qW2a+gYY+x4B+Uv983SpUs5e/YsXl5eVKpUiUqVKlGhQgVOnz7NsmXLqF+/fvbHEIx2dL1x4wbNmjUjIyMDCwsLtm7dSo0aNbL/EM7OzjnKOzs7Z6c2BujWrRvR0dEkJSXl2ELUtGlTpk6dyqBBgxg1ahSNGzemXbt2DB06NFedL2JYwwBsrHJP8U+tEp5H6YJ5d3OAwTIX6/9mXFvnhhglt9x3WfZ3jUTGKRrxg89q5MKL15PVlsaFAl4Sblwk05GdzxosE3lRn8BLEAQiktMZbG2ZfSw/bNMy0Ehk4NYI5fG/8r0OAE/ik3n/u99o0Lgl48YOxtyi8LkbMrcY97B4+8b7RsmNHP+WQeU1OoFzoWAxsBUSA7MsL9/0Wfb3rI79aT3mFpL7X7Bs6Ef55sO549wh17EsdSYT3uuHkHWfWQt+oEUr71xlpFMMj0ETn1F4I1XQ6XVOzjQh7axxy1EH+242WMbNzriAfw2n5p2htyCy7M2o62hPd98KbAqOZHC1ijnO6/5ZClALErT/fB98uI9RbclbGZ6GA0C14tvs70HR8ahUKqrcOYlqxYtnS1z9jNt559Y87+uYnBDHokLIF3W8g/K3+6Z3794lUq9EMHI6Iisri+DgYBISEtiyZQsrV67k2LFjJCQk4O/vT1hYGK6uz3KkjBw5kpCQEPbt21eo+mNjYzl8+DBnz55l27ZtxMXFcfz4cWrXfnFY4qSkJKytrVm/fj1mZi8/wJaIiIiIyKuDJiuDN/sNIDExEas8XmSfUpTx7um4tO9cGOYGZmF+ntSUJLo0cStQ16fMmjWLv/76i7t376JSqWjevDlz5syhatWqeZZ///33Wb58OQsWLGDChAlG61lUjJ4pMTU1pVIlfWrxhg0bcuHCBRYtWsRnn+nfrCIiInL8kaKiogo90wF6J5q+ffvSt29fZs2ahZ+fH/PmzWPNmjUFytb2dslzpsQq5kGh23+ed/8yPHGUh2/h+5qjLSNnStz8nxlrGomMU26N8A+7kO8MgayqkTMlsX2NkhsZ+rnBMokPngBwLy6J17cdY03X5jR0LXj3jW2NioW6DplqDZ9vO8b6czf5ZVh3XD8wPGeD/Tf9DZYBsK9qXLwT09eNmSlJxmTcTINnSlo8N1MC+hmrwV//wLX7QZxa9i3WFnkb//+eKdn6x1p++O5L3n73Q4a9/+LosKZTDOsbQPw3WwpdVtBpSH58HEuvVtQ5ON3gtgC21ZtnsIyxMyWOU41L9mhmr/+7RKVl0vvQGd6t6s07Vb2zz+vkJjzsM5yKW1Yj1eh1e37mSysI3I5P4kxUHAEJyaRqNFiamPC6tytVbaywV5hml5VPN26mxOyXZzMl049c4kxIJPuH5p+118bImZKEWi+eKSkMJT3elQTHjh1jzJgxNGrUCI1Gw+eff06nTp24ffs25uY5/fK2bdvGuXPncHNzM6qtlJSU7FglTymM4ZQXxRanRBAEMjMz8fHxwcXFhYMHD2anNc7KyuLYsWPMmTPHqLpNTU3x9fUtdDpkmVSKPI+ssHIjZ7/U+WTafRFawbhLK9MY9/DKa9CVC9r8jRIjr4cO43w6ClpCyYun16OCyoT09HRC4xNo4ljwzf58Wy+6DoIg0G/JH5x9GMoPAzrRo6Y3l6SG/91k6iyDZQDk+UQxzVdOatwfTpKRabBRkus3I5EwrEsr+hw/x/V7D2nbIO9BQirTX0eNWs3SH2aydsUiBr39AcNGfYxU+mJXNqkR11JixN9MIpUj1xm3VVaQGH7/S4z03pNmGXdvydR6HV1NpDS1seBYcBgjK+Y2gqUaNTK1/jd2MyGJbUFhnI6MJTwtgwytDisTOXXsrbE2NSEgOpaRD/Q7ZPpWdOer+tWRS6VIJBLCwsLw8PAwSEe5Vn//ByUks/laAG/VrpR97IUy6PI9/0K5F2QJl+VzL+aHMeOdTtB/jMVQ2X+vSqxevRonJycuXbpEq1bP0mSEhoYyduxY9u/fz2uvFd4IfvToEWPHjuXo0aNkZDzbHCAIAhKJxOi8RkaNnFOnTqVr1654enqSnJzMxo0bOXr0KPv27UMikTBhwgRmzpxJ5cqVqVy5MjNnzsTMzIxBgwYVWPeuXbvYuHEjAwYMoEqVKgiCwM6dO9mzZw+rV682Rl2RckB4SjoAtkrTAkrmRqPVIUVA+q/BfPWpaxy/F8ym91+nW+1KxaLnf4G0fwwbq+dmSbRaHUERUcQlpeBoY8XJgAME3LnOnm2beBLyiA8nzeCt4WPy9UMRKX7iM7O4GZ9E5X/FdFFr9YN7UFIadlKBfU8imXHlLjamJrR2daBvRQ/q2VtTx84a+T8Dt04QCEpOY8qFm2x+GIqjUsEHNSryzltvceH8ea5cvYqlpaVB+sWlZ9Llt33YKBWMalS9eDpdzBTXeFdcYeaTkpJyHFcoFCgUBUdafrrD1c7uWZoOnU7HkCFD+PTTT6lZ07Bs22+9pZ/VXLVqFc7OzsX22zbKKImMjGTIkCGEh4djbW1NnTp12LdvHx076kP9Tpo0ifT0dEaPHk18fDxNmjThwIEDhbpha9SogZmZGR9//DEhISEoFAoqV67MypUrGTLEuKUNkVeffY/0icWaGhHN9ds9J1m47zSfdGpK19q+uNtY8vfdID7ceJB3/OvStZYYIM0Q/OtWA+C9WUuZNrwv+85d5e+L1wmNzj0V3qnbG8xc8AtVaxi+BCpSdPY+iSQsLYN69tYIgkCqRsvqe4/Z9CSKXwaNou/hc6Sn6w3+Zk52rGhVP9sI+TdSiYSKVuZsaNeYudfuseT2Q5bcfph9/sGDB9SrV88g/RaevUmWVsvuQZ1xMC/+fFJ7L98hQ62hbV3jw9CX5HhnDJ6enjn+/9VXXzF9+vR8ZQRBYOLEibRo0YJatZ7Nbs6ZMwe5XM748eMN1uP69etcunTphT4qxmKUUfLLL7/ke14ikTB9+vQCL1ReVKxYkeXLlxujlkg5RaPT8fudR/Ss5IHKxPBbVvePL/e8A2eZd+DZDqC+DaqzoH9H8e3dQFzsbOjdqjHbjp9n0PSFVPZ0pbt/Azo2rouTrTXhMfHEeraictWa2NiK+WlKk+ZOdjRxtGVPSCTno+NJU2tJ12p5vYoPAD81r0tSahq2pib4Odq+0CB5HqlEwjtVvfk9MBj1c2sKoz/4gFOnTxf695SQkcn664F80KhGiRgkABN/3UFQVBztLwWxcOZ0HOwNT+ZZXONdce2+CQkJyeGvUZhZkrFjx3L9+nVOnny24+zSpUssWrSIy5cvG/UMbNSoESEhIWXDKBEReZkcDo4gLCWdt2saN6Pxdc/WxCQksf7cLb7v2x4nK3Mq2FlT30uMk2Es67+eQFxSCncfP6FJjSrI/rVmf8u11QskRV4m3pbmrG7VgBMRsVyL00/f9/Fxw9naikCgsZMdMrX+jV5igK+Sk0rBqZ5t2B0cwaroFEJCQoiKiuKDUaNY+vPPhRrkFpy5iUwq4a06Jbd0umB4L16fs5q/j59k7o9LmTHlE5SFGMRLAkHQf4oiD2SHuy8s48aNY8eOHRw/fjyH38+JEyeIiorKEZRUq9Xy8ccfs3DhQoKCgvKtd+XKlYwaNYrQ0FBq1aqFyb/iR9WpY9zsqGiUiJRp4jMy+frUDWo52FDb0cboej7p1JT1524RGB3Pe60NC+Yjkjd2VhY0r12ttNUQKQCJREIrVwdaPbf0WRzZcKxMTRhYyZMhm5cSFxfH3r17+erLLzl//jxNmjQpUH5/4BNer+aNm2XJhW/o4leNuUO7M2ntLn7btIXfNm0h7PYltFotsnIeHVgQBMaNG8fWrVs5evQoPj4+Oc4PGTKEDh1y7pLr3LkzQ4YMYfjw4QXWHx0dzYMHD3KUlUgkpePoKiLysrgYEceTlDTG1jd+ijA9S836c/o8FV2MnG0RERF5MXZ2dgwcOJAlP/3EzG+/ZdQHH1C7dm1cXV1ZtmwZcXFxfPHFF1y7do2fly7lwYMHPE5MobK9centDWFs1xb8ei6A2wH6oGy9Bo/gwuWrNG/ckF8WzC7x9p+iQ4KuCI6uhsqOGTOG9evXs337diwtLYmIiAD0uWlUKhX29vbY2+dcXjUxMcHFxaVQSzLvvPMOfn5+bNiwofQdXcs6B0JroUzMvZbd3zHeqPrmTTTcorbfPMWotiZUX2uU3FKrFdnfhX+yB8gsLZHls4XuyS8bjGqr59e5o3UWBhOHBgbLrL/YGniDA+7TuGTuVyiZO+cW43N0EyozFYO+akrd6SuITkziE/86NLVUkvYk4oWyTYIMv/7Ch+8aLAMgiQwxSm5XpoFLIzo1Juzj5pJzBm/nTlEZ1tRTbDKN29reYsLbBsvMulz4x5gUgXrWcPyqDOmvxkV0fctlRsGF/kXg/MNGtbWm7wGj5F6b2yzf84JCAf0h4lIUkkz9bqq67zQ1qq007bPtoKt+XszEz6YybuxYAOzt7IiN0ztA37l5g0tXrlLRx5v2rVsy9J336PnmAOLlhf/7KTb+z2D9IpJTScxSUrtJd+q3fJNdv00HICpNxeGYl5d482VHdF26dCkAbdq0yXF89erVDBs2zGg9nvL48WN27NiRHb+luCiXRolI+cFUqX+TSooNxN61cEZJ4NV13EyNpE1lLwBGNqxGD19XKtqVXHZhERERqF2zBgd3bSMiIpKr129w+uw5Wvg3IzY2jo2bt/Du8KFM+uhD5HI5KdKSnyUBWHDsCqGPbuLmVYtqfh1Y+71+uaH9Gy8O4lceMCZYe0F+JM/Trl07rl27JholIv8tgu/uxERhjWeV/CM9xoRdIinmHnYudclIjWSYXxW+7ebPBWBM05oFBmUSEREpPlxcnOni4kyXTh04fPQ4dwLu8f67w8nKymLD5i00b9IY50r1SlSHyOQ0Ptt1EoVchpN7FS4c3UBaSjyCIPDFkqt4+NZFmxFTojo8T3E5upYVevTowUcffcSNGzeoXbt2LkfXnj17GlWvaJSIlGkSom5j41QDual5vuVObX+PrPRncTLquxkez0RERKT42bh5C/sOHuLX337PPtb3jd58PXdxibWp0wmM+esIh+/nXCK9dXEfPd/+Bg/fl7ds85TiCp5WVhg1ahQAM2bkXs4siqOrkcGPRUReDuGPjhAdcoZjfw7Ot5zS7JkR0u3dE/SvLTq0ioiUBd55W//bnTb5U04dPoBCoUCjKY79Py9m+dkbHL4fwoJerVDK9T6BPtWa0nv4TLr0N87fr6g8DTNflE9ZQqfTvfBjrEEC4kyJSBkmOiEJQad3mIwJvfDCcoIgYKrU+4tIZabITfKfVREREXl5NG3ciEq+FVm7fiMLflxCZmYmvbrnvxxrLOFJqXy9/yx/XLvPe81qcTjwCRkaLUM+Wol/lxEl0qYIZGRkoFQWTwA8caZEpMyifu5tyrPKixNFpSaGEBN6kXptvuSN8XdRqGxfhnoiIiKFZP5sfUZglUrJsCFv0bqlf7HWn5SRxXt/HKLOvHUcCXzC5HYNOf0onJ239GHwy4RB8s/uG2M/FGHnTkmg1Wr55ptvcHd3x8LCgocP9dd62rRpBUbBzQ9xpkSkzHLm5j0ArB2rU6Far1zntZpMbp6aR+DV3wDwrNpdDBkvIlIGqVe3DicO7Su4oBHEpWXQbcV2wpJS+F/X5gz0q8LcI5d4HJ/Murc64+fuxIkSadkwypuj67fffsuaNWuYO3cuI0eOzD5eu3ZtFixYwIgRxhmColEiUiZJz8xi5c7DmFm502nInjzL3Lu0ksCra/Gp1Q97Vz+U5o4vWUsREZHSZsGxK9yLjufdJjXpUtWLP67eZ+XZm0xsXZ9u1X0KrkDEKNauXcvy5ctp3759ttMr6MPL37171+h6RaNEpEyydOtBjl29A0Bs+JU8Y5Rkpseh06rRarIwt66Q67yIiEj5p7m3K7tvP2LtxTusPHcLiQQG+VVjXMt6pa1aDl52RNeSJjQ0NM8YJTqdDrXauOCJ8B8zSob87GqU3KahVwyWmW79nVFtjdnZ1ii5x0P+zP6u1WrhzlWCm7yVb36H8BmbjWpr0xbjHJoe3yn8Nry0ZHtgEwBzWt+klk9CrjLaDs2ZtT6Gb9f9QRXVbda+MzH73ND9M5DLtPTnJp9kfY5GW7iovPP3flpoHZ+S+tF8g2UANoUadz9+cucbg8prkHLEtg6W5lIEiWFuZCfOJhtU/iljzvY1Si7GwfAAdx+MqVfoshqtjkuBMKLBHYQd6w1uC6D3jEyDZbZ83dCotm78cM8oudZ/5v/MEnRqCN9Pym8nkEj18SW0W42bbp+4xLiwv6sqLjRYZlvLpbkPtoQZ70FCbARB9y7h6OqDu3cN/n6+TEZuMQDhJW5pKW/LNzVr1uTEiRN4eXnlOL5582b8/AoX6DIvyqVRcnjfA5C9vKA4IsVPZPDfSKWmBKydiYdj3unGA0MjWbX3OBKJhGFdxKy0IsVDWHg4q9asQyKV0LpFC1o0Ny78usjLxcbehXrN8naI37M1IM/jdrLwklSpXPLOO++waNEivvrqK4YMGUJoaCg6nY6//vqLgIAA1q5dy65du4yuX9x9I1ImUWcmY6qyf6FBEhmfyIeLf0NhIufaym95vaVxb6IiIv9m5559LF/1K8tWrmbS59NKWx2RckJRdt4UNW9OcbJmzRrS09Pp0aMHmzZtYs+ePUgkEr788kvu3LnDzp076dixo9H1l8uZEpFXH1OlLVnpsUQnJOFok3NK/0FoJM3HzkCj1bJ+2mgqe7jkW5dOnYFWJ0cmV5SkyiLlhEYN6uPfrCkKhYJB/d8sbXVEyglFDYBWVoKnPZ9Tp3PnznTu3LlY6xdnSkTKJE6erdHpsvjzWO6gaTcePSEpLZ1D30+hc6M6ecpnpMVwart+m9qOZY3464dqxIYZ7hsk8t+jfr26bFjzC78uX0Kn9u1KWx0RkTJHSYZeEI0SkTKJicIaU5U9fxw9x4WAh9nHt5+8xJQVegfY5mO/RqfT5SmfnhJJdMjZHMc0mrSSU1hEREQkH546uhblU1aoUqUKdnZ2+X6MRVy+ESmTmJhaUrfVHM7uf5dW4/9Ho6oVaVLDl8VbDwIgl0mxVClJzcjE0iy397+lrQ+1mut34zTqMg8rh/qoLPNf5hEREREpKcpTQr6vv/4aa2vrEqlbNEpEyiy2jvWo4unCvZAILgQ8zJ4x2fjlGOpU9KTRqK9oNOorRnRrTcOqPrSuWw2pVD/5Jzcxo1L94cBN3Ct1LvSWYBEREZGSQEcRfUqKTZOiM2DAAJycnEqkbnH5RqTMIpWZcHXFt6yZ8j7mymdOqnvPXeP24zAmvNmZx5ExfLl6C90mz2PryUulqK2IiIhI+aekU3kYbZSEhoYyePBg7O3tMTMzo169ely69GxQEASB6dOn4+bmhkqlok2bNty6dStHHQEBAfj7++Ph4cGMGTNynLty5Qrdu3fHyckJpVKJt7c3/fv3JyZGjD/yX0IikdCvTRMi/lrM71+MZkhHf07dvM+bX/3At+t2IJFI8KvkRY/mfnRrUvjgbCIiIiKFpTjGu/LiUyKUsCJGLd/Ex8fj7+9P27Zt2bt3L05OTjx48AAbG5vsMnPnzmX+/Pn8+uuvVKlShf/973907NiRgIAALC0tARgzZgxDhgyhUaNGjBo1ivbt2+Pv709UVBQdOnSgR48e7N+/HxsbGx49esSOHTtISxOdFf+LyGUy3mjZkDdaNkQQBEKi49BotFR0K5kpRBERkfKPrhDrKUUd755SXiK6vmhzQXFhlFEyZ84cPD09Wb16dfYxb2/v7O+CILBw4UI+//xz3njjDUAfcMXZ2Zn169fz/vvvA5CQkICfnx916tTBzc2NxMREAE6fPk1SUhIrV65ELter6OPjQ7t2hdueJ5PLQJ7bh2BTp8PGdJdop9YGyzSsa1xMDPVKrVFy3lefhYzXICFQ7oPXja3IefGd7LV8klFtqVyNm2CrqvvZYJnrFWblfeKfyMbXXyC3ttt2NAL8nWrN8k6nkBdyxvFuhSUG68gHbxguA/Q0SgrG+m8xqLxcquE12wv4V4xEmk/agbwYbG/cNmqTqsbF91A7eBgssz26XuELC2osecLR2Nq8mWRcevU/G9w3WEateN2otrZ12GmUXOq2H/I9r5HKOd+gO413jUOu0wCw0HeZUW3NaxVklFz8vAcGy/TMGGdUW1tNPszzuERlU6BsUce7gQMHGqXzfxWjRpcdO3bQsGFD+vbti5OTE35+fqxYsSL7/KNHj4iIiKBTp07ZxxQKBa1bt+b06dPZx2bMmEHHjh0xMzNDKpVmB2FxcXFBo9GwdevWEp8qEhEREREReRHFNd7pBEmRP/8FjJopefjwIUuXLmXixIlMnTqV8+fPM378eBQKBUOHDiUiIgIAZ2fnHHLOzs48fvw4+//dunUjOjqapKQkHB2fpZ1v2rQpU6dOZdCgQYwaNYrGjRvTrl07hg4dmqvOPDsl0yKR5Z5x0Bj5R9VqjZi90BmXJVFnamqUnOa57WJPv2sK2EJmrL2n02qMktNIDd8BY3Rbgv7z9HuJtmdi3N/MWORSw3SUS/X3r86I+1hj5HYBiZG/NaPaEwz4rT0tK6iNfh5oJIbfx8ZeR42Rbn8aaf6Pdu0/57XPlZNKjPutGfV8BCRyE4NljHmGAJjkMR4AyKQF615c4115Wb4paSSCEVMRpqamNGzYMIcVOH78eC5cuMCZM2c4ffo0/v7+hIWF4er6LBPqyJEjCQkJYd++fYVqJzY2lsOHD3P27Fm2bdtGXFwcx48fp3bt2nmWT0pKwtramvXr12NmZmZot0RERERE/kPExKt5d3hfEhMTsbLKO0N1Uce7P/74A2tra1buT8DM3PAs2E9JS03i3c42+epaHjBqpsTV1ZUaNWrkOFa9enW2bNGvdbu46INURURE5PgjRUVFFWqm4yn29vb07duXvn37MmvWLPz8/Jg3bx5r1qzJV27raV8k8tyBXX5pd6TQbT9PTGV/g2XOx1Yxqi23T40La13v42ep4jVIOCb3prUmKF+fEsHW8YXn8uOGcxej5Crvmm6wzIPuhssA1ArfjUaAY2nWtDZLLLRPyT0PIxJJfTzYcJki8HPT3wwqL5dq6VzrMt6V6xnsU+KRcM2g8k8xiYswSk5t72awzO6M9oUvLKixTDhEsk0HeicZdh2fkvXQcF8ITeseRrWlvHbcKLnUB4/zPa+Vyrnk14UGV/Yh+8enZInPQqPaGt48/7ZehOTHrw2WsfJxLbhQHox+8kGexy2UyQXKFtd4J86UFA6jjBJ/f/8cXsUA9+7dw8tL733o4+ODi4sLBw8exM/PD4CsrCyOHTvGnDlzjFLU1NQUX19fUlNTCyyr0cogjylWucS4v6rMwAc5AFLDpyYBpFlZRsnlZXzIEfI3SoxcopTKjIu5J9cZPs1rdFuSnN8La5QY1Z7auL+ZsWh0xl0TqUxmsFEilxp3kxj7WxOMaU9ixG9NYmK0jjrBiOUKY6+jkSGznjqvFoRMp8kuqxOMu6+Mej4CEo3hS9zGPEMA1C8InqjVFax7cY13QhET8olGST589NFHNG/enJkzZ9KvXz/Onz/P8uXLWb58OaCPLTFhwgRmzpxJ5cqVqVy5MjNnzsTMzIxBgwYVWP+uXbvYuHEjAwYMoEqVKgiCwM6dO9mzZ08OD2gRkcLw/aY97D19id4tGzKhb9fSVkdEROQVoqjj3VMPCUGQIBTBWbUosq8SRhkljRo1YuvWrUyZMoUZM2bg4+PDwoULeeutt7LLTJo0ifT0dEaPHk18fDxNmjThwIED2TFK8qNGjRqYmZnx8ccfExISgkKhoHLlyqxcuZIhQ4YYo7LIf4SYqAgC7lxn+OypPIqMY8OGDcz5fQfp6encCQpl7BudkBv5ZiciIvLfo6jjXVJSUilq/+phdO6b7t2707179xeel0gkTJ8+nenTpxtcd8WKFbOtUBGRwpCZmcH8mZPZ9sev2cdUKn2ivopuTrzVvin92jUVDRKRV5YnsYnIZFJcbQp+sStpMtISuXV2I9UaGRej51WjOMY70aekcIgJ+UReaVJSkvh91Y/8tXEVCfGxODq5Eh0Vztg3OjFz1CAOp8HZn2cU2qdE5NUkPDiAC8e2cP/WWSKCA0hKiEahMsfO0YMGLXrx2qBJ2ckaS4Pk1DQ27dxHv+6dsbIwN0g2LD6J+XtOsvzvC2h1OppXqcCkHq3pUMs3Rx4SQRC4+jicTWeuE/okkjtRcXhaWzC2eW0aezghIXfeEp0g8DAuiXS1hkzXZEwUZiTHhwJgbuWMTG5KYuxj4qMekpWRgqDTkpmeyJ2Lf/Hw5gGunfyVcZ1/yw5yKfJidEX0KSmK7KvEf+tOMtKJNEJnxI6AvVFGtSXpvssoucEfdsj+LigV8P00zny2DklG5gtldk8+Y1Rbn+0ZZZTcif7575rKC29Z7AvPnT55lKmfjCY9LQ17B0cS4mOJjgoH4Fh0Y0bsasJb7QJ4Z2fjFzq6/RulWbrBOk76aavBMgAZGuPim/heM2xQk6J3KDRf9BEyA50LP/U1zodrcA/j+uaoiCt02Zs3r3PowH7CYzax88+1KJQq6tRvStsOnbC1cyQtLYV7d27wx/Kp3L24g76D38ezgjfIoaJ9Mp9cHERWRhJZGcmYW7sVOtHYLNmMF54LjI7n/KNwTGRS0rLUPElIRqsTODr3Ny6Gx7Bq+Wp6Va2AuYmchIwsLExNkEkkJGZm4WphhqO5koSMLFKy1CRmZnHMvAOXjy5BKjOlWfdpWNlV4MqxZfT+/jcc3GthZesBCKQmRpIYF0xGahzm1i5UzEzG28SUgMQYegbuBcBWJqexmSUVFUpszMxp0qA77X/cQkBiwtOrj1QiQffcK7lKLiNdk9u51E6loJmnE+eDr9K1fVsqONqRlpmFWqslJT0TrU6H9p9RVGkix9pcRdvaVfisT0dMTfTDzlhPw2fDF1dYZbAMACEvOC6Updy7IlBOjZLFnS9iZ6HKfSLx5esiUnIsnj8LqVTKe6M/4of5M2nesi3vjZ6Ib+WqfL8awDhPfZGyhVqt5nHQI65cvsSJ40c5f/4sAAnx8djZ2WNpY8/rA0YweuJXmJlb5JLfvW09m9YuZdrE4ahUKjZs2MCiWVO5fi+FB9d3os5MRmFmi5VdBSys3VGorDGzdKZR58+Qm+TxHPkXgdHx/H03iL03H3I44Nn2WIkEnC3NMZFJsTc1YXorPw49CmP55QDS1RpslQpS1Go0OgEbhSnRaRlo/zEITGVSLE1NSNIF0ajDhzTu9DEKlT42RY3GA3h89zA3z/6OOiMZJBKcvfyo4tcbZ6/6VKjamu4LWwL6mZALacnEaNQ8zsrkWkYqR1MSkKYq2QC4mZjytqs3llIZ8gauJGeq8bAyRyKByJR0EjOyqGRvja+dJVYKU2RSCWYmckz/WQY9ExzJ9qgkElLTcbW1wkQuw1ypQC6VIpVKkCAhPUvNwat3mLl5P3su3mLMa61oXMULnVZj9O46Q1nf63SexyMjYjH8Vck4xOWbwlEujRKR8sm9u7c4fHAvHhW8adehC6mpKXj7VMLB6VksgODHD6lZuy6QUXqKihTIpbNHmTt9HFmZGbTr0od2XfsgQULLBt5IJBJOHj/G2bOnOHbkMI8ePUSr1SKVSqlT149Bbw1FKpVSs1ZtWrZqQ7Jgl29br/UeRLdeA4mPjSbowR1A4NaNi8TGaandYiTOnn7ERQaQHB9CSkIYCdEPuH/1L9JTY2nX/8cX1qvTCUzedpSfj1/BVCajfgVnVgzuSrdavgAoTWSY/DN4JweFATCyftUX1peUmUWqWoODSolMKkEqkbCgyi+5ZnAkEgne1dvjXb3g+CxSiYQmeQTsyjI1IQP4wtkLSaZ+NrVmDZ8C6/s3zSo407lPtwLLZao1zPxjPzvOX2fk4vUASKTfYWHtjrm1O1b2PkgkMsIfncTBrS6V/Prh6tMCuYnSYJ3KKqJRUjhEo0TklSDoYSBvvdkVmVxGeloaNWrVJTzsCdO++Y4GjZohlcrYuvl3vpz8ITu2bsK9/i8g+rQWCkEQOBcRS0JGFuYmcrytLfC0NEMQBGJCrxMfFYCJwgIre29iwm6QkRKNVpOFRCpDaW6P0swee5caWNpVyLN+rVZLROhjLpw5TGDADcJCgrh8/hi16jXBt3JNtm5Yzh9rFwNQ0bcSDg6OnD93BkdHR1q1bsfgocOo6FuZqtWqYW1tk7uBQqxISSQS7BycsLG1IzrwJMvXH2D9/mePv4q1nwU3iwy+xL5fh/Lg+vYcRknQ7X0EBxxmVOZJIpNTuRcZR0h8MjN7teYd/zqYmRoXm+gpVgpTrBQ5l70Ku6RkKCYS6Us12xUmcr5+6zW+fus1ElLTuBwYwrdXK5ISH0xyfDBxEbfQajJx8mxITNh1DqzVJ7FTqGxRWTrjXaMbler1Q/AVSuyaiJQNRKNEpMyTkZHO7VvXyMrK5MChK2z47RdWr1iMo5MzNWrWRSKR0KN3X3r07su508d5f3g/opKm0bj99NJW/aURE36PxNgQ3Lzro7KwBfTGhjorHVMTWfb/o9IyeJKcRmhKOrdjE7kdm8i9+CTCU58NUaYyKf2qVOBuXBIXI3fkasvE1AKZiQKdVk1Whn67o1RmineNLqSnxKLOSuHwrwI6nY60tBSiwkPQarXI5HK8KlbFxbUCoz/+lt4D3sXUVMH7H80g5HEgyUnx/L39FxITEpjxv9n0G1BwTKPi5v6VLRxYNwKARp0+A0CrVXPt2BLO7P4Ka4eKmFlm4GiholfdKnSp6UOrynkbYyJ5Y2NuRru6VfnL9K08zwuCQHzkbWJCr5KeEk1iTCDXji/i6tH53Pd2o2kVL1SmJshlUlSmJuh0AhYqBS42llR1d6KWpwsmeWSJL21ER9fCIRolIgUSH3Wfx3f+xszKGZWZHdcT43A2V5GqVuNlbYGshHY1HNmzjqPbl3D18nkAnJxdsXdwYvzHn3Pi2CEeBt5jyicfsHDJmuy3pybNWzF95gK+mjIBT99WQPkbMMKDrrJrzQSintzGwtoZOycfAq7sAUBuosDDtzEpiZEkxASjUWdgZmbO+vW/03LjIcITnjlWOaoU1HW0paevB/7ujvhYmaMRBDbefcyf94LxtDKn41u/4lGlLfGRd0mIDsSnVndMFc+2pGo1mWSkxnLnwm88uXcYC1tPTJWVqeZjgkQqRak0w8W9Ai5uFajt1xQLy9zpH8zMLahaox4AXVvXLdmLVwDWDr7Z3yvVe4PUxHB2rniT2PBb1Gk5iha9ZjFb/k0palj+kUgk2LnUxM6lZvaxJt3+R0TQWSwD53LyziMy1Ro0Oh0ZajUSJCSnZ5CSod/IoDSRU8/HnQndW9Grca3S6kYuxOWbwiEaJSIvJDUpkke39nHz9Foigs5nH9/yXBkzEzn3x/dDmseU6pXwGO7HJvFGDW/kRhguW36dS8ij29n/j4oMZ+ono3n04D6B9+7iWcGHo3/vJyY6Csfn/Ep69xnI7G/nEhl0BHjb4HbLInExUdy8doFTR/eyd8cfOLhWpcVrEwkJPMeTwPO4etXjtWELuXlmM2mpcbhVrI+NgxdmFvYkRN4FYEDVClS1VFLByhx3CzOsFXkvN0xpUpMpTfQDwizfngA4V2iEc4VGucrK5ArMrd1o2OEzGnb4LPu4sbtvSpvnw/DvXN6H1MQwzCyd6ffRURw96pWeYv9xFCobvKp3YXGPsBeWSUrL4FZIBNvO3+SH3SeYt/1omTJKRAqHaJS8ggiCwPrZlZBKTfCp/To+tXqTqtMyMy4ED7kCLwsrWgOrkyIYKLdC9Vy67zBNJpZSOZaFSAEedPsgh9aPzbeMjdKU705dJyw5jeDEFBIyMqlsZ41cJmXPvWAytTqm/H0BJ3MlCavc8WvWCbcKlTG3sMbB2RN7J3d2bvyRhLhIqtZqQmZ6Ku7e1Wjapjfjpi1n/8aZxMfFcvniOQCOHTmATqffxhcS/IhOXXvi4OiUSy+vGm8SfHMVr7JRIggCa5d/z18bfyE6Uv8wdvf0oXXvKTTvNgGFMvdOE+9qLXId028J3s/Y+lUN3hL8X8PBrTZ9Jxzhyf1jZGYkYWVbgYq1e6CysC9t1UQKICUji6S0DHZeuEUFB1sWjyxbgd10Ov2nKPL/BUSjpIyQmZ5AXMRN4qNukRIfjKnSGqlMTkZqLAozO5TmDgg6DempMWjV6Wiy9IkJAy6sJuDCauRmtpzPTOF8ZgoqXRqtgW0pcRzJikIpkeIoMyFUk0WYNguVRMooaxdunVmLmaUTHlVaYWJqlkunSnV7cnzrVDLT4rGwcaNaw/5UafAmja5+zJILt7kfl0RYchrrrgfiZW1BBWtzqtpbcy82EQF4u14VXq/mzdknUUSnpRNRvTvnju3g8ul9pCYnoPlngFSaWeDs5sOBbb+gUJoRtWERP337frYepqYK6tRrgIurO/YOjtg7OOLi6kGt2vXw8a2cQ+eb169w/94dIoKO6PdkvsJcuXCSZYv0SwVT//cTDZq0wsXNkyPXcxsjIsWHk6cfTp5+pa2GSCFIzcjixz0nuBAYwt4rdxEEgSpujuyd/A5eTvnvynrZiMs3hUM0SkqYrIwkHlzbREpiCPauddFqMkmIukNCzD10WjXqzBTSU6JIT4kEQCZXYWlbgazMZHRaNUozOzLT48lIi0MqlaM0s0dmokRhZkdWRiLCP1kzd6XF52q7uqkZ3lJQIxCtVdNYaUEdhTnH05NYkBAG68dklzVVWuHkWRczS2eyMpJIjA1Cq87MNn5SEsK4eGgBqYkRfN/alwG1fdEJAjpBKHBppp6r/i3zfP9ZvD1uFvCPM1tsBGGP71GxWn3MzJ/5KSTERXHhxC5MFSr8qtlTrXotTE0Vedat0+mIi43h5vXLHNy3i13bNwNgZVeFJt2WFOpvVFYQBIGIsBBuXb/AzasXOHZIH0jPwtKazt37YWL6ai6JiIgUNzqdjt+OXWLutiM8iU2gRXUf5g7pTqd6VfFxsiuTjq6iUVI4RKOkBFFnpXJsy0jCHx7HzMqNO+dWABIsbb2wda6BTK7ExN4cpbkD1g6VsXWugbVjZaSFWFoB/SCm06mRSk0Y8ktHtIKADgGUSrKA2Q7eeUZ0bamyZqjaifMfHyY1MYKokCukJIQR8fgiaclRmCot8arWHhOFOZqsdFKTIklJeEJM+B2qNOgD6COYSiWSPH1JCoN+i6Yrdg6uuc7Z2DnRsdc7AHhaRCEIQnamzdiYaLb/tZHAe3d4cD+ARw8DycrS99HN3ZPPp8/h9TcH8b+l6ZjItEBArvpLA51OR2x0FOHhT4iOjCA2JorUdA2pKcnERIfz5PFDAgNukpSoNy7dPL1p3LwNnbr3o26D5mIYbxGR55i8bjc/7jlJj0Y12TLpbaq5OxcslAeCVgywWNYol0+669+sxFKbewFOuv6IUfWt10dp5ubpVYTcO0rFWq8BkJGWQHpKNDaOvrhXakFGWjyJ0Q+IDr1B4NW/SYy9AYL+pvdr+ytaTQamChuksrzfeJNiYXaUcT4QVzZef/YfnRrz+L1ErzoN0rydGRXAd9engAXg/vRozTxKWvzz8QVaAxc42+IXo3SUawpeFL174zwfD8vtF/E8SpU5FavUxbt6U1q/9g5OrhXwqVIHZzd94K3ITJgV+RpaExMCeY+voj9Gpi6cL8XdSXsLVe55HH8YmOfxxMwsLoTFcDwkki13H5OU9UwHuVSCIDNDLjdDoXLAzNITJ+8BVLKvjrVDLRQqe9TA7qOw++iTHPVubrzeIP00EhnHVI0xHTMZucwwh+Mn34cbVP4p1f+Yb5Tc/QHfGyxzJSj3jp4XIRHUuALXg63o3s64V8/LA/82WObKnCtGtXXml5NGyXXacj7f84JOA48PoV13BIlUPwyk/dDPqLZUHpWMkptzfbLhQg6tUGs0LN1/hvd7tWfhuKGFErv0yaI8j2fa2xiug5HoKOKW4GLTpGxTLo2S4uDeneuos7KwtXdA0FVAIpUSfPdvHt7YxYNr2wF9bAaVhQOpiTk9ws0snTGzrEZlv4mYWXqjNHPBxNQKE9PckRVFcmJmkTsDqkJpxsiP5yGVSDFVKGno3wVL6+JfLxYEgYAbZ7l8Zh8RTx4i6HS4VqhE3cYdqFaneb4J3dLUGnYFPuFOTAIPE5IJSkzhUUIKAuBirmJwrYo0dHXAw9IMZ3MVtkpT3kuZVux9EBEp78ikUur4evL7gVP416pKBWd7qlVww9oit19cWeL5GV9j5f8LiEZJHjwJfsiwPi2z/29m5UL1xoOo2mggQbf3o9OqsXetSZ2W72Fu7UZKQiiarDSs7L2xc6mGpa0Hd84/LMUevJrEx0bywZu541Q0b9ebrm+8W6JtP0lNZ/L5m1za0gKVuSVelWojlcq4duFv/lj5P+o2bs+0RXuQyfJeWvvy+BU23QnC29qCSraWtPJ0YWANM+o52+FpZY6bhUqMRCkiUkQehEYSEhXLh3278va3Sxn67TO/seidy7BQlZ+w9P9VRKMkD553ugRIS4rg0qH5NOjwMW9Pu0nQ7X0EXtvOkT8+fGEdSjNXLO2qY2lXE1efnpiY5p4BEMlJcuKzjMBvj/mGlh3fxNbBFaUq/zcgzT9LMzK5PHvgD0pOZU1QBAP6Q4ZGx7/z6mp0OkJS03mSms612ETW3A/GVmHC14v3U6fxs5wiOp2OQztWsXTmKK6fP4Rfs8556hCRqs8unJSZxfmwGA5l5Vz2GNewOp82qSkaJiIiRvLDqev875tV6J5bA5FKJeh0Al2b1M1xvCwiOroWDtEoyQM7e0eOX4vh5NG9XDhzlDsP0jFRWFCx9muYW7vgW7cXPrVeQ6fNIisjmeT4EBJjHiE3NcNUYU56SgxXj/1G9JPDRD85TGpiINUbf1Xa3SrzVKhYg0XrzrF+xTes+Wkaa36ahkJphpWNA85uXnh4V6VSNT+q1GyIp091TBX6t6JeTf9tcuhRqVQMAPaERNDXwzHHuQlnr/N3WHT2/+vYWfNuVW+C4qPZ+ts8osIfE/nkAU8eBxAdrs/8mpWZd7YQnSDwSZNaWJiYEJqSRnKmGmdzJToB0jQawlPS+fHiHQAmNRWDOYmIGMqqC3eYcegC7/dsz4dvdkEul+FoY4nyFdqRJhQxTonwH3EqEY2SFyA3MaFNx5606diT9fufHdfptKz83PuFcmaWTqSlRIMgIJUqsLSvgVvF3iWub3mhUnU/vpz/F5FhQdy6eorE+BiSEmKICH1EwM3zHNi+Gp1Wi1Qmw8nFC0trWyyt7EhOinthnR3cnYCcrxlOqpxbjK/HJTL+zDU4Mxi5iSmW1vbY2DlTsWo9Wnd5izqN2pKVmc6PM0YQFHgDdWYGOkFHVmY6iZEhZP3raWNhIsdWaYqTmZKaDjbIpBK6V/IotuskIvJfIUOjYdKe0wDcfxKBRqfDxyl3wESR8oFolBiIVCqj89BVXD36E5HBl7KP2zhVplGnz0iIuoeVvTfxUUosbCojfcHuF5H8cXbzxtnNO9fxjPQ0Ht67RvCD24Q9CSQlKQEnVy8S42OICn9MXEw4GrU+B4alif72PhYezWsudoSnZXAnIZmAxGSi0jOpYKEiPC0D9T/TvhL0uWMkUikpSXHEx4Tz6N5Vzh3dzp+rZwLgXakOlWo2QqUyRyKVYmKqoN7DA7hYqHCzMMPVQu/EakxYfRERkdwo5XJuTBzA4cBQZp28Tp1hn1G7oiet6lWnSfVKNKpWES8XhzK/NCou3xSO/6xRotPpEAThhY6L+VHZrw+V/foAEPrgFFsXd0MqM8GrWnuq+PVBIpVy8/Sd4lZZBFCqzKhRtxk16jbL87xWqyUqLIj0OQN4kKH3NZlx5S6fp6dnb6mzV5hS1dqCNi6OeFqocDNT4m1hjoeFioeTn02LqdVZpKcmkRgXRUxkCDKZnNqN2uV6+DVcKzo1i4iUJK6W5rzlV4Who4ay49RlDl64wZ4zV/jprwMAWJmpqOjmRGVPFz4Z0J2a3h7IDNz+XtKIWYILR7k0SmY/fkwFqZR0nY6A9DSqqsxwMjXlzNuvERYSREpKEmmpySiVZtTya0zd+s2oVtMPR2dX7OydsLFzKLSxEh+pD84VF36blV/4YG7tim+dXiTHC8j/2QYskZogkUgBKRKJFCv7WuL24BJCJpPh6ulLRXcn2pqYEAisalWfQ49CaeBgQ207KxyUeUeH/TcmJqaY2DhgZeOAZ8UaJau4iIhIgShNTenXtin92jYFICo+iUsBD7kVFMqjsEiOXLlNk/f1W+1tLc3xcLSjc+M6BIc+IVatJlWrxcnUFHdTUzwUCtxVr45Pyn+FcmmUpAo69scnIEFCdTMzTiQmEqdR07hKbbr0GoClpTXmllYkJcZz9eJpNq1dQnJSQra8VCrFxc0T9woVcXRyJTTOGlOlFQqVNRKpnLTkSNKSI8lMS0AmV+Dq0xSNOh2NOoP4yACun/g5X/3cK/Wjst/EEr4KIk+pbWdNPcuyHcNARETEcJxsrejatB5dm9YDIDktnSNXbhObmExsUiq3HoWw7sBJlKmZ2JrIMZfKuJOWyqH4ONJ0Ouqnprw0XcXlm8IhEcpRRJakpCSsra3Z26BhjoiugiCgEQQaLvs6TzmdTkdoVCyRsfFExsUTGRPPo7BIHj4JJzI2nrgMLclJSSQlJ6PRaHBwcMDJ0RFrGxsyMzNJS0sjLTWVtPR0YmNjyczMHdrdVGmNysIBcys3/Ht/j7V9xTx1mdo/dw6bwrBw17MwyzKJhtZexzn2uBVa4cV2Z1SocW0ZS/jDUINlfnOaZ1Rb69r8gRQ11RT7uZvZGR2F8+2xtDB8ytfL2bhQ1X6/DjJKLmvCLIPKa7Vabt+5g+O875BmZRkk6+ZnnHPu7+02GyX32q/tCy70LzKT8t4VlRc6U1MiPvwYl0Xfk7LogMFtAfg/Mjyicf+9HYxqa84nee8sK4g0rSrf8zqthtB7Z3Gv0hSpTP+MMJFqjGpr8uzoggvlweqJhf+7ZfP7YqPaur/nRo7/C4JAglZDnLmKt8+dJzExESurkpm9fjouffNbPEoz49vISEti2hDbEtW1LFAuZ0rSI9XIsgr/A5NKpXi6OOLp4pjn+SjHvMKv540gCERHRzNrTRJyUzPMrd0xVVqVeScsERERkfJKWljuF0UFoHQqfIqCoiL6lBSOcmmUlCYSiQQnJyecKlQpbVVEREREREReKUSjREREREREpIQRfUoKR7k0StJ0WiS63Ov8SalpRtWXrEw2WCYrw/CtxgDJyYa3BZCZ8WwNWSbRkJaWRmZGUr4+JepM49oyFo061WCZ5KzCZff9NxlpSUhRk6ZNIyMzqdA+JcbEF0lLMc6nxNi+ZRl4j+h0OtLS0kjVaJAamKq9KNffGFLUhvs1ZGoKLyNIpdnXIjXFOB2T0tINllFnGedQmZJsXBjPNF3+10Sn1T8jUlKSn/mUSIzzKTG2b8kpRviUZBrmE/WU1DzGA4A0rXF9NgadTihSKPyyHka/uChXjq4ZGRm4O7sS99xOGhERERERkRfh4uLCo0ePUCpLJpnfU0fXL1fHFdnRdcZwO9HR9VVCqVQSGhlOloE7DERERERE/puYmpqWmEHyPOLyTeEoV0YJ6A2Tl3GDiYiIiIiIFBbRKCkcZSsOr4iIiIiIiMh/lnI3UyIiIiIiIlLW0AkCuiJMdxRF9lVCNEpERERERERKGEGn/xRF/r+AuHwjIiIiIiIiUiYQZ0pERERERERKGAGBokTgEPhvLN+IMyUiIiIiIiIljKADXRE+hi7fzJo1i0aNGmFpaYmTkxO9e/cmICAg+7xareazzz6jdu3amJub4+bmxtChQwkLCyvmnhtGmTRKjh8/To8ePXBzc0MikbBt27Yc51NSUhg7diweHh6oVCqqV6/O0qVLc5TJzMxk3LhxODg4YG5uTs+ePXny5EmOMmfOnKFevXp4eXmxYsWKku5WnuTX18LeNEXpa9OmTfnggw9ylF26dCkSiYRffsmZDXXEiBE0b968VuDrfAAADwVJREFUmHpeMKGhoQwePBh7e3vMzMyoV68ely5dyj4vCALTp0/Hzc0NlUpFmzZtuHXrVo46AgIC8Pf3x8PDgxkzZmQfHzBgAF27ds1Rdu/evUgkEqZNm5bj+DfffIObm1sJ9LBkWLJkCT4+PiiVSho0aMCJEyeyz0VERNC1a1fc3NwYPXo0Ot2ruVBdkvcGgLe3NxKJJNdn9uzZL6V/eVHazwogz2sikUjYuHFjifW7MLwKY4YgCEX+GMKxY8cYM2YMZ8+e5eDBg2g0Gjp16kRqqj6ydlpaGpcvX2batGlcvnyZv/76i3v37tGzZ0+D2il2hDLInj17hM8//1zYsmWLAAhbt27Ncf7dd98VfH19hSNHjgiPHj0Sli1bJshkMmHbtm3ZZUaNGiW4u7sLBw8eFC5fviy0bdtWqFu3rqDRaLLLVKtWTfjzzz+FU6dOCb6+vsLjx49fVhezya+vCQkJQocOHYRNmzYJd+/eFc6cOSM0adJEaNCgQY46itLXyZMnC1WrVs1RX79+/QRPT0/hrbfeynG8YsWKwtSpU4v5CuRNXFyc4OXlJQwbNkw4d+6c8OjRI+HQoUNCYGBgdpnZs2cLlpaWwpYtW4QbN24I/fv3F1xdXYWkpKTsMu3btxeWLl0qXLx4UWjYsKFw8uRJQRAE4eeffxYsLCwEtVqdXXbSpEmCp6en4O/vn0OXdu3aCYMGDSrhHhcPGzduFExMTIQVK1YIt2/fFj788EPB3Nw8++89YsQIYdq0acLVq1eFrl27CuvWrStljQ2npO8NQRAELy8vYcaMGUJ4eHiOT0pKykvt6/OU9rNCEAQBEFavXp3ruqSnp5d4//OjLI8ZiYmJAiBMWhotTPs10+jPpKXRAiAkJiYadY2ioqIEQDh27NgLy5w/f14ASmUsfEqZNEqeJ68brGbNmsKMGTNyHKtfv77wxRdfCIKg/4GamJgIGzduzD4fGhoqSKVSYd++fdnHKlSoIDx8+FBISUkRGjZsKNy6davkOlII8urrv/n3TVPUvu7fv18AhLCwsOyyzs7OwpIlSwR3d/fsY8HBwQIgHDx4sDi6WiCfffaZ0KJFixee1+l0gouLizB79uzsYxkZGYK1tbXw888/Zx9r0KCBcPbsWSErK0vo2bOnsHv3bkEQBCEgIEAAhDNnzmSXbdy4sfDTTz8JpqamQmpqqiAIgpCZmSmoVCphxYoVxd3FEqFx48bCqFGjchyrVq2aMHnyZEEQBKFPnz7Cxo0bBa1WK4wePVr46aefSkPNIlHS94Yg6I2SBQsWlIj+xUFpPCsK225pU9bGjKdGySdLooXPV2ca/flkid4oCQkJERITE7M/GRkZhbou9+/fFwDhxo0bLyxz8OBBQSKRGG34FAdlcvmmIFq0aMGOHTsIDQ1FEASOHDnCvXv36Ny5MwCXLl1CrVbTqVOnbBk3Nzdq1arF6dOns499+eWXVK9eHWtra5o2bUqNGjVeel8MJTExEYlEgo2NDVD0vvr7+2NiYsLRo0cBuH37Nunp6bzzzjskJSVx//59AI4cOYKpqelLW77ZsWMHDRs2pG/fvjg5OeHn55djuvTRo0dERETk6LdCoaB169Y5+j1jxgw6duyImZkZUqk0+x6pUqUKbm5uHDlyBNAnQrx8+TJ9+/bF19eXU6dOAXD27FnS09Np27bty+h2kcjKyuLSpUs5rglAp06dsq/J5MmTGT9+PAqFgitXrjB06NDSULVIlPS9UV4o7mfFq0xZGDMEnVDkD4CnpyfW1tbZn1mzZhXctiAwceJEWrRoQa1atfIsk5GRweTJkxk0aFCp5tZ5JY2SH374gRo1auDh4YGpqSldunRhyZIltGjRAtCvm5uammJra5tDztnZmYiIiOz/jxgxgtjYWKKjo/nxxx9fah+MIa+bpqh9NTc3p1GjRtlGydGjR2nRogUKhQJ/f/8cx5s0aYKZmVnJdvIfHj58yNKlS6lcuTL79+9n1KhRjB8/nrVr1wJk983Z2TmH3L/73a1bN6KjowkLC2Pr1q3IZM+yN7dp0ya7fydOnKBKlSo4OjrSunXrHP329PTE19e3BHtbPMTExKDVavO9Jg0bNiQ0NJSQkBBOnz6NhYVFaahaJF7GvQHw2WefYWFhkePz9L4o65TEs+IpAwcOzHVdHj58WLIdKiLlacwICQkhMTEx+zNlypQCZcaOHcv169fZsGFDnufVajUDBgxAp9OxZMmS4lbZIF7JLcE//PADZ8+eZceOHXh5eXH8+HFGjx6Nq6srHTp0eKGcIAhIJJIcx8zNzTE3Ny9plYuMoTeNIX1t27YtmzdvBvSDcJs2bQCyB+eRI0dy9OjRl/pWrdPpaNiwITNnzgTAz8+PW7dusXTp0hx6/LuPefVboVDg6OiYq422bdsyYcIE1Gp1rn4/feAcPXqUdu3aFWfXSpyCrolcLsfFxeVlq1VsvIx7A+DTTz9l2LBhOY65u7sXQw9KlpJ8VgAsWLAg13PW09PTeIVfAmVhzCiu3DdWVlYGzWSMGzeOHTt2cPz4cTw8PHKdV6vV9OvXj0ePHnH48OFSz0D8ys2UpKenM3XqVObPn0+PHj2oU6cOY8eOpX///sybNw/Qp6LOysoiPj4+h2xUVFSut6dXgedvmoMHD+a4aYqjr23btuXevXuEhoZy7NgxWrduDTwzSoKDg3n06NFLXcJwdXXNNTVavXp1goODAbIH1effYsDwfqempnLhwgWOHDmSo98XLlwgLi6OM2fOvBJLNwAODg7IZLIiXZNXgZdxb4D+elaqVCnHR6VSFVH7kqWknxVP6/n3dTExMSm2PhQ3ZWXM0OmEIn8MQRAExo4dy19//cXhw4fx8fHJVebp/XL//n0OHTqEvb19sfS1KLxyRolarUatViOV5lRdJpNlb29s0KABJiYmHDx4MPt8eHg4N2/efKlbWouDgm6a4uhr8+bNUSgULFmyhPT0dBo0aADop/oTExNZtmwZSqWSpk2bFl/HCsDf3z/HnnqAe/fu4eXlBYCPjw8uLi45+p2VlcWxY8cK3W9fX188PT3ZsWMHV69ezTZKXF1d8fb25vvvvycjI+OVMUpMTU1p0KBBjmsCcPDgwVfuvs+Pl3FvvIq8jGfFq8h/bcx4ypgxY1i3bh3r16/H0tKSiIgIIiIiSE9PB0Dz//bu3zWqrI0D+LOFk0xAAmMzpEhADFooiAgSBcXeMlgIYiCFFiL+rFMEYmWKDbowTUDxH1DbJdiKiH+AEAiClv56X32D3vMWS7K4cbN3c+ckd5zPB6aQ5EzukZg8fp/z3Pv1a0xOTsbz58/j4cOH8e3bt/XPWV1d3bHrrmX75tOnT/Hq1av1Py8vL8fLly+j1WrF6OhonDp1Km7duhXNZjPGxsbi6dOncf/+/Zifn4+IiOHh4Zieno4bN27Enj17otVqxc2bN+PQoUObRnU7YbO9joyMxOTkZLx48SKePHmy/k0TEdFqtaLRaHRlr81mM44dOxYLCwtx4sSJ9d76rl27YmJiIhYWFtYLl+1y7dq1OH78eMzNzcXZs2fj2bNn0el0otPpRMQf0fzVq1djbm4uxsfHY3x8PObm5mJoaCjOnTtX+uucPn067t27F/v27fvuf0RrLZy9e/fG6Oho1/eXy/Xr1+P8+fNx9OjRmJiYiE6nEysrK3Hp0qWdvrSu2a7vjY8fP25IW4aGhnYs3q7Dz4qIiHfv3m34e9m9e/eOtsF74XdG2sK9Rv66/t9Yuw/LWlt6zeLiYkxNTcXr16/j0aNHERFx+PDh7z5naWlpw7ptsxMjP/9kaWkpRcSG14ULF1JKKb158yZNTU2lkZGRNDg4mPbv35/u3LmTiqJYf4/Pnz+ny5cvp1arlZrNZjpz5kxaWVnZoR39vc32ury8/MOPRURaWlpaf49u7HVmZiZFxHdjlCmlNDs7myIizc7OdmO7/8rjx4/TwYMH08DAQDpw4EDqdDrffbwoijQzM5Pa7XYaGBhIJ0+e3HTc7UcWFxdTRGwYo33w4EGKiDQ9PV15H9vt7t27aWxsLDUajXTkyJFN70vQq3J/b4yNjf3w393Fixe7vZXS6vCz4u++xu3btzPsuLw6/85YGwm+Mv823frtv1t+XZl/W+k+Jb3il5T65HnIALDNPnz4EMPDw3Fl/m0MNLeesv3v84f49Xo73r9/v+OHUXOqZfsGAH4mRUpRVMgAqqztJYoSAMgsbfOZkl6lKAGAzLYy1vvX9f2g50aCAYCfk6QEADLr1h1df3aKEgDILKU/H6q31fX9QPsGAKgFSQkAZJYqjgT3S1KiKAGAzFJRsX1j+gYAYPtISgAgM0lJOYoSAMisSH+8qqzvB9o3AEAtSEoAIDPtm3IUJQCQmQfylaMoAYDMiqLaQ/WKoosXU2POlAAAtSApAYDMtG/KUZQAQGYOupajfQMA1IKkBAAyk5SUoygBgMyKqPaU4CL6oyjRvgEAakFSAgCZad+UoygBgMyMBJejfQMA1IKkBAAyS0WqdJt57RsAoCucKSlHUQIAmTlTUo4zJQBALUhKACCzVBSRiqLS+n6gKAGAzIqKB12rrO0l2jcAQC1ISgAgMwddy1GUAEBmRoLL0b4BAGpBUgIAmUlKylGUAEBmRRRRpK2P9RbRHyPB2jcAQC1ISgAgs1RUa8FUCFl6iqIEADJzpqQcRQkAZOY+JeU4UwIA1IKkBAAyK4oiigoP1auytpcoSgAgM2dKytG+AQBqQVICAJmlVESqMNdbZW0vUZQAQGbaN+Vo3wAAtSApAYDcKiYl0SdJiaIEADIrUsUH8vXJmRLtGwCgFiQlAJCZg67lKEoAILOUikgV7spqJBgA6ApJSTnOlAAAtSApAYDM3NG1HEUJAGRWFBFFhRZMnzwkWPsGAKgHSQkAZJaKitM3fRKVKEoAIDPTN+Vo3wAAtSApAYDMTN+UoygBgMy0b8rRvgEAakFSAgCZfV39WGmC5tvX/3TxaupLUQIAmTQajWi32/H897OV36vdbkej0ejCVdXXLyml/mhUAcAO+PLlS6yurlZ+n0ajEYODg124ovpSlAAAteCgKwBQC4oSAKAWFCUAQC0oSgCAWlCUAAC1oCgBAGpBUQIA1ML/ARSJkU4XLorEAAAAAElFTkSuQmCC", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import cartopy.crs as ccrs\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import xarray as xr\n", + "\n", + "# Define the global domain\n", + "lat_range = [-90.0, 90.0]\n", + "lon_range = [-180.0, 180.0]\n", + "\n", + "# Create a structured grid. Note the number of points in each dimension\n", + "# There is not need to store the grid points in a separate array\n", + "# Also note that the grid points are evenly spaced and not connectivity information is needed\n", + "\n", + "num_lat_points = 20\n", + "num_lon_points = 30\n", + "\n", + "lats = np.linspace(lat_range[0], lat_range[1], num_lat_points)\n", + "lons = np.linspace(lon_range[0], lon_range[1], num_lon_points)\n", + "\n", + "lons_grid, lats_grid = np.meshgrid(lons, lats)\n", + "\n", + "# Generate random temperature data for each grid point\n", + "temperature_data = np.random.uniform(\n", + " low=20, high=30, size=(num_lat_points, num_lon_points)\n", + ")\n", + "\n", + "# Create xarray Dataset\n", + "ds = xr.Dataset()\n", + "ds[\"temperature\"] = ([\"lat\", \"lon\"], temperature_data)\n", + "ds[\"lon\"] = lons\n", + "ds[\"lat\"] = lats\n", + "\n", + "# Plot the structured grid using xarray\n", + "fig, ax = plt.subplots(subplot_kw={\"projection\": ccrs.PlateCarree()})\n", + "ax.set_global()\n", + "\n", + "# Plot world map lines\n", + "ax.coastlines()\n", + "ax.gridlines(draw_labels=True, dms=True, x_inline=False, y_inline=False)\n", + "\n", + "# Plot the structured grid\n", + "cs = ax.pcolormesh(\n", + " ds[\"lon\"], ds[\"lat\"], ds[\"temperature\"], cmap=\"coolwarm\", shading=\"auto\"\n", + ")\n", + "\n", + "# Colorbar\n", + "cbar = plt.colorbar(cs, ax=ax, label=\"Temperature (°C)\")\n", + "\n", + "ax.set_title(\"Structured Grid Example\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "473516a9-171d-40d8-810d-2abdddd75b84", + "metadata": { + "panel-layout": { + "height": 44.0799, + "visible": true, + "width": 100 + } + }, + "source": [ + "### Unstructured Grids" + ] + }, + { + "cell_type": "markdown", + "id": "aa7869e5-99dd-4cdb-a15f-add6c3e5949e", + "metadata": { + "panel-layout": { + "height": 51.1285, + "visible": true, + "width": 100 + } + }, + "source": [ + "Characteristic features of unstructured grids are:" + ] + }, + { + "cell_type": "markdown", + "id": "cbaf1f1a-2cff-4c3e-b5f8-93ef6d9d23bf", + "metadata": { + "panel-layout": { + "height": 196.788, + "visible": true, + "width": 100 + } + }, + "source": [ + "\n", + "- Adaptability to complex geometries: Fits intricate shapes and boundaries\n", + "\n", + "- Often runs faster than structured grids: Requires fewer elements to achieve similar accuracy\n", + " \n", + "- Local refinement: Concentrates resolution on areas of interest\n", + " \n", + "- Flexibility in element types: Accommodates various element shapes\n", + " \n", + "- Efficient parallelization: Scales well to multiple processors\n", + " \n", + "- Suitability for dynamic simulations: Adapts to changing conditions" + ] + }, + { + "cell_type": "markdown", + "id": "a0d18cd1-bc8c-4ef8-9f5c-74f2194e6700", + "metadata": { + "panel-layout": { + "height": 43.2118, + "visible": true, + "width": 100 + } + }, + "source": [ + "#### Sample Xarray Code to Generate a Basic Unstructured Mesh" + ] + }, + { + "cell_type": "markdown", + "id": "8c2ac7da-2569-4a02-aa04-5b95bbeb9882", + "metadata": { + "panel-layout": { + "height": 97.3958, + "visible": true, + "width": 100 + } + }, + "source": [ + "The code below uses a very basic, standard Python approach to showcase a simple unstructured mesh topology (without a real meaning or value). \n", + "\n", + "This code generates an unstructured grid out of 600 arbitrarily created nodes (latitude, longitude pairs sampled from corresponding ranges via a uniform distribution). It performs Delaunay triangulation of those nodes using matplotlib.tri.Triangulation to create grid cells. The resulting triangulation is then plotted using cartopy and matplotlib." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "6651059f-585a-40de-93e4-a5451cd82ad7", + "metadata": { + "panel-layout": { + "height": 700.99, + "visible": true, + "width": 100 + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import cartopy.crs as ccrs\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.tri as mtri\n", + "import numpy as np\n", + "import xarray as xr\n", + "\n", + "# Generate random temperature data\n", + "np.random.seed(42)\n", + "num_points = 600\n", + "latitudes = np.random.uniform(low=-90, high=90, size=num_points)\n", + "longitudes = np.random.uniform(low=-180, high=180, size=num_points)\n", + "temperatures = np.random.uniform(low=-30, high=30, size=num_points)\n", + "\n", + "# Create xarray DataArray for temperature data\n", + "temperature_data = xr.DataArray(\n", + " temperatures, dims=\"points\", coords={\"points\": range(num_points)}\n", + ")\n", + "\n", + "# Perform Delaunay triangulation\n", + "triang = mtri.Triangulation(longitudes, latitudes)\n", + "\n", + "# Create xarray DataArray for triangulation coordinates\n", + "triang_data = xr.DataArray(\n", + " np.column_stack([triang.x, triang.y]), dims=(\"points\", \"coords\")\n", + ")\n", + "\n", + "# Plot the globe with unstructured mesh using xarray\n", + "fig, ax = plt.subplots(subplot_kw={\"projection\": ccrs.PlateCarree()})\n", + "ax.set_global()\n", + "\n", + "# Plot world map lines with prominent gridlines\n", + "ax.coastlines(linewidth=0.5)\n", + "# ax.gridlines(draw_labels=True, dms=True, x_inline=False, y_inline=False, linewidth=0.5)\n", + "\n", + "# Plot unstructured mesh with bold lines\n", + "ax.triplot(\n", + " triang, \"ko-\", markersize=0.1, linewidth=0.5, alpha=0.5\n", + ") # Increase linewidth to see the triangles\n", + "\n", + "# Scatter plot with temperature data\n", + "sc = ax.scatter(\n", + " longitudes,\n", + " latitudes,\n", + " c=temperature_data,\n", + " cmap=\"coolwarm\",\n", + " s=10,\n", + " transform=ccrs.PlateCarree(),\n", + ")\n", + "\n", + "# Colorbar\n", + "cbar = plt.colorbar(sc, ax=ax, label=\"Temperature (°C)\")\n", + "\n", + "ax.set_title(\"Unstructured Mesh Example\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "26ab8a93-9360-48d1-a9f6-7d00077d34e4", + "metadata": { + "panel-layout": { + "height": 85.3993, + "visible": true, + "width": 100 + } + }, + "source": [ + "
\n", + "

Note:

\n", + " This is a very basic example to show how an unstructured grid with triangles would look like. In actual model outputs, often the region of interest is meshed with a finer resolution, while it is coarsened in areas where high resolution is not needed. This is done to reduce the number of elements and improve computational efficiency.\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "3d0bdae8-4980-4baf-a5de-f71cd58014d0", "metadata": {}, - "outputs": [], "source": [ - "# todo" + "## Why Unstructured Grids?" ] + }, + { + "cell_type": "markdown", + "id": "c0bd4c67-377b-4029-86cd-1ec9bb4a2513", + "metadata": { + "jp-MarkdownHeadingCollapsed": true + }, + "source": [ + "#### Arrival of the next generation, kilometer-scale global models for weather and climate\n", + "The aforementioned features and strengths of unstructured grids make them appealing for data analysis and visualization of kilometer-scale global weather and climate model outputs that produce very large spatio-temporal datasets. \n", + "\n", + "Therefore, after nearly two decades of development and evaluation, the climate and global weather modeling communities are transitioning from simple structured grids to this kind of more complex, but more scalable unstructured grids upon which governing equations of state are solved. " + ] + }, + { + "cell_type": "markdown", + "id": "90e9e0be-6847-4e7d-8a45-f7b92ff1e852", + "metadata": {}, + "source": [ + "## Many Unstructured Grid Types, No Commonly Used Convention or Tools" + ] + }, + { + "cell_type": "markdown", + "id": "3ac97daf-d889-4947-a789-7d661c805803", + "metadata": {}, + "source": [ + "There are several climate and weather models that generate unstructured grids that vary from each other regarding not only the geometric elements (shape of grid faces, i.e. polygons, etc.) but also the file formats and extensions, and how special information such as geometric elements' connectivity is represented. This creates a challenge towards having a widely used convention for the representation of unstructured grid data.\n", + "\n", + "There are only a few analysis tools that are capable of working directly with unstructured mesh data that come from so many mesh formats, and most of the time, the common practice is to resample to structured grids, but this has myriad pitfalls. " + ] + }, + { + "cell_type": "markdown", + "id": "d4ee424b-b9bd-46aa-b4ca-fe029df2b715", + "metadata": { + "panel-layout": { + "height": 305.451, + "visible": true, + "width": 100 + } + }, + "source": [ + "## Why UXarray for Unstructured Grids?\n", + "\n", + "UXarray, which stands for \"Unstructured Grids - Xarray\", is a Python package that provides Xarray-styled analysis and visualization functionality for working **directly** with unstructured grids that are resulting from most of the climate and weather models. Offering a unified representation of various model outputs around the UGRID conventions, UXarray enables working with native unstructured grids in a single, grid format-agnostic interface.\n", + "\n", + "More on UXarray in the next chapter." + ] + }, + { + "cell_type": "markdown", + "id": "aa2b87e5-fcd7-4aac-96a7-dbcea032b780", + "metadata": { + "panel-layout": { + "height": 84.3924, + "visible": true, + "width": 100 + } + }, + "source": [ + "## What is next?\n", + "The next section will provide an overview of the general-purpose plotting libraries available in the scientific Python ecosystem." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "12a10c0f-0361-41c6-a9c1-6c770c07991a", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -60,8 +513,28 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.3" - } + "version": "3.12.6" + }, + "panel-cell-order": [ + "b0e265cab6491374", + "b028cd75-5332-4482-b2ea-d5c6e2c988f7", + "5eb87890-358d-4563-a805-0b1b5ad6931d", + "cec26533-8913-47f0-b02c-b1e9824ea1b4", + "6fb5becb-3e2e-4571-b276-b958f138adf0", + "7dff95f3-9264-451c-a4ca-321f63e2f05c", + "163dcaef-7353-4bd8-815a-58cba735c697", + "1b2487ab-b16c-47ee-9755-a1c331bc619d", + "473516a9-171d-40d8-810d-2abdddd75b84", + "aa7869e5-99dd-4cdb-a15f-add6c3e5949e", + "cbaf1f1a-2cff-4c3e-b5f8-93ef6d9d23bf", + "a0d18cd1-bc8c-4ef8-9f5c-74f2194e6700", + "8c2ac7da-2569-4a02-aa04-5b95bbeb9882", + "6651059f-585a-40de-93e4-a5451cd82ad7", + "26ab8a93-9360-48d1-a9f6-7d00077d34e4", + "d4ee424b-b9bd-46aa-b4ca-fe029df2b715", + "52651809-c7d0-4aee-b0fd-ec73b590ab3e", + "aa2b87e5-fcd7-4aac-96a7-dbcea032b780" + ] }, "nbformat": 4, "nbformat_minor": 5

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