diff --git a/book/_toc.yml b/book/_toc.yml index 8ed041e..869958b 100644 --- a/book/_toc.yml +++ b/book/_toc.yml @@ -14,20 +14,20 @@ parts: - caption: Ocean Data Science chapters: - - file: chapters/rob/ocean_science - - file: chapters/rob/shallowprofiler - - file: chapters/rob/data - - file: chapters/rob/anomaly - - file: chapters/rob/anomaly2 - - file: chapters/rob/anomaly3 - - file: chapters/rob/argo - - file: chapters/rob/glodap - - file: chapters/rob/modis - - file: chapters/rob/roms - - file: chapters/rob/spectrophotometer - - file: chapters/rob/shallowprofiler_technical - - file: chapters/rob/documentation - - file: chapters/rob/issues + - file: chapters/ocean_science + - file: chapters/shallowprofiler + - file: chapters/data + - file: chapters/anomaly + - file: chapters/anomaly2 + - file: chapters/anomaly3 + - file: chapters/argo + - file: chapters/glodap + - file: chapters/modis + - file: chapters/roms + - file: chapters/spectrophotometer + - file: chapters/shallowprofiler_technical + - file: chapters/documentation + - file: chapters/issues - caption: Example diff --git a/book/chapters/rob/SpectrophotometerModule.py b/book/chapters/SpectrophotometerModule.py similarity index 100% rename from book/chapters/rob/SpectrophotometerModule.py rename to book/chapters/SpectrophotometerModule.py diff --git a/book/chapters/rob/anomaly.ipynb b/book/chapters/anomaly.ipynb similarity index 100% rename from book/chapters/rob/anomaly.ipynb rename to book/chapters/anomaly.ipynb diff --git a/book/chapters/rob/anomaly.py b/book/chapters/anomaly.py similarity index 100% rename from book/chapters/rob/anomaly.py rename to book/chapters/anomaly.py diff --git a/book/chapters/rob/anomaly2.ipynb b/book/chapters/anomaly2.ipynb similarity index 100% rename from book/chapters/rob/anomaly2.ipynb rename to book/chapters/anomaly2.ipynb diff --git a/book/chapters/rob/anomaly3.ipynb b/book/chapters/anomaly3.ipynb similarity index 100% rename from book/chapters/rob/anomaly3.ipynb rename to book/chapters/anomaly3.ipynb diff --git a/book/chapters/rob/argo.ipynb b/book/chapters/argo.ipynb similarity index 100% rename from book/chapters/rob/argo.ipynb rename to book/chapters/argo.ipynb diff --git a/book/chapters/rob/charts.py b/book/chapters/charts.py similarity index 100% rename from book/chapters/rob/charts.py rename to book/chapters/charts.py diff --git a/book/chapters/rob/data.ipynb b/book/chapters/data.ipynb similarity index 100% rename from book/chapters/rob/data.ipynb rename to book/chapters/data.ipynb diff --git a/book/chapters/rob/data.py b/book/chapters/data.py similarity index 100% rename from book/chapters/rob/data.py rename to book/chapters/data.py diff --git a/book/chapters/rob/data2.ipynb b/book/chapters/data2.ipynb similarity index 100% rename from book/chapters/rob/data2.ipynb rename to book/chapters/data2.ipynb diff --git a/book/chapters/documentation.ipynb b/book/chapters/documentation.ipynb new file mode 100644 index 0000000..8a9add6 --- /dev/null +++ b/book/chapters/documentation.ipynb @@ -0,0 +1,3980 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "4d7c8b16-459a-46af-a19d-ab7152535c69", + "metadata": {}, + "source": [ + "# Documentation\n", + "\n", + "\n", + "GeoSMART Oceanography Jupyter Book notes \n", + "\n", + "\n", + "\n", + "## Sections\n", + "- 1 [Technical Elements](#Technical-Elements)\n", + "- 2 [Shallow Profilers](#Shallow-Profilers)\n", + "- 3 [Other Data Resources](#Other-Data-Resources)\n", + "- 4 [Computing Infrastructure](#Computing-Infrastructure)\n", + "\n", + "\n", + "\n", + "## JupyterBook To Do\n", + "\n", + "- Shallow profiler dataset rebuild from Zarr / Cloud resources\n", + "- Refactor the contents " + ] + }, + { + "cell_type": "markdown", + "id": "8bdd3ef3-b992-4655-9452-f38c03275480", + "metadata": {}, + "source": [ + "## Contents\n", + "\n", + "\n", + "### 1 Technical Elements\n", + "\n", + "\n", + "#### Useful References\n", + "\n", + "- [Python Data Science Handbook by Jake VanderPlas]((https://jakevdp.github.io/PythonDataScienceHandbook/) (abbreviated herein PDSH).\n", + "- [GitHub Markdown Cheat Sheet](https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet)\n", + "\n", + "\n", + "#### Technical Elements: Topics\n", + "\n", + "\n", + "- [Markdown](#Markdown): General, LaTeX math, tables\n", + "- [Embedding content](#Embedding-content): Images, Animations, Audio, YouTube videos\n", + "- [Shell integration](#Shell-integration)\n", + "- [Working with NetCDF XArray and Pandas](#Working-with-NetCDF-XArray-and-Pandas)\n", + "- [Time](#Time)\n", + "- [Missing data](#Missing-data)\n", + "- [Resampling](#Resampling)\n", + "- [Mapping](#Mapping)\n", + "- [Visualization](#Visualization) Matplotlib, IPython interaction widgets\n", + "- [Containerization](#Containerization)\n", + "- [Annotation](#Annotation)\n", + "\n", + "\n", + "### Shallow Profilers\n", + "\n", + "\n", + "[Top](#Documentation)\n", + "\n", + "\n", + "\n", + "- Data\n", + "- Profiler timing metadata\n", + "- Basic charts: **Depth** vs { **A**, **B**, **C**, ... }\n", + "- Noon/Midnight charts: pCO2 (Descent), pH (Descent), Nitrate (Ascent), Spectral Irradiance (Ascent)\n", + "- Turbulence\n", + "- Comparatives\n", + "- BioOptics\n", + "- Visualization in practice" + ] + }, + { + "cell_type": "markdown", + "id": "db56dfb2-c8e0-4a9e-a3b2-e225ec08b3f7", + "metadata": {}, + "source": [ + "### Other Data Resources\n", + "\n", + "\n", + "\n", + "[Top](#Documentation)\n", + "\n", + "\n", + "\n", + "- [GLODAP](#GLODAP)\n", + "- [ROMS](#ROMS)\n", + "- [MODIS](#MODIS)\n", + "- [ARGO](#ARGO)\n", + "- [RCA Deep Profilers](#RCA-Deep-Profilers)\n", + "- [RCA Sea floor](#RCA-Sea-floor)\n", + "\n", + "\n", + "### Computing Infrastructure\n", + "\n", + "\n", + "[Top](#Documentation)\n", + "\n", + "\n", + "- Toolbox\n", + "- Jupyter servers" + ] + }, + { + "cell_type": "markdown", + "id": "e1d28b1a-0484-4f53-951d-9ddb4d4fb4c7", + "metadata": {}, + "source": [ + "## Technical Elements\n", + "\n", + "\n", + "[Top](#Documentation)\n", + "\n", + "\n", + "### Markdown\n", + "\n", + "\n", + "[TOC](#1-Technical-Elements)\n", + "\n", + "\n", + "Markdown is a specialized text formatting style that also accommodates inline HTML.\n", + "\n", + "\n", + "Back-ticks to delineate `fixed-width font (code etc)`. Use three back-ticks \n", + "\n", + "\n", + "```\n", + "to offset \n", + "blocks \n", + "of code.\n", + "```\n", + "\n", + "\n", + "- bullet\n", + "- lists\n", + " - indent 4 spaces\n", + " - can also use an asterisk `*`\n", + "\n", + "\n", + "\n", + "> \"quotation-style\" text uses greater than `>`" + ] + }, + { + "cell_type": "markdown", + "id": "9465d1c4-b25a-44d4-8e40-5ee998c8cd4e", + "metadata": {}, + "source": [ + "#### LaTeX math formulas \n", + "\n", + "\n", + "A big topic; here are a couple examples to get started.\n", + "\n", + "\n", + "$LaTeX^{\\pi}$\n", + " \n", + "Single dollar-sign delimiters put content inline: `$e^x = \\sum_{i=0}^{\\infty}{\\frac{x^i}{i!}}$` looks like this: $e^x = \\sum_{i=0}^{\\infty}{\\frac{x^i}{i!}}$. \n", + "\n", + "\n", + "Double dollar-sign delimiters create a centered equation:\n", + "\n", + "\n", + "$$e^x = \\sum_{i=0}^{\\infty}{\\frac{x^i}{i!}}$$\n", + "\n", + "\n", + "Change size for example with a `\\Large` qualifier:\n", + "\n", + "\n", + "$\\Large{e^x = \\sum_{i=0}^{\\infty}{\\frac{x^i}{i!}}}$\n", + "\n", + "\n", + "#### Tables\n", + "\n", + "\n", + "Tables can be written as markdown or as HTML. Markdown 'pipe tables' with many columns \n", + "seem buggy in Jupyter notebooks, ymmv. Formatting e.g. left-justify might require some\n", + "searching.\n", + "\n", + "\n", + "| Tables | Are | Just So |\n", + "| ------------- |:-------------:| -----:|\n", + "| col 3 is | right-aligned | \\$1600 |\n", + "| col 2 is | centered | \\$12 |" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "5fb6c013-b50e-4893-8b2a-563606c0a735", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "
\n", + "Here is an HTML tabl running as Python code via %%html cell magic.\n", + "
\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
BookAuthorGenre
ThiefZusakMade It Up
\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "%%html\n", + "\n", + "
\n", + "Here is an HTML tabl running as Python code via %%html cell magic.\n", + "
\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
BookAuthorGenre
ThiefZusakMade It Up
\n", + "\n", + "\n", + "" + ] + }, + { + "cell_type": "markdown", + "id": "bcd59350-698b-4cc9-af6d-a2905026042b", + "metadata": {}, + "source": [ + "
\n", + "Here is the same in a markdown cell\n", + "
\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
BookAuthorGenre
ThiefZusakMade It Up
$x = \\pi$Holly BerryMathematics
Burden of DreamsPeteNonfiction
\n", + "\n", + "\n", + "" + ] + }, + { + "cell_type": "markdown", + "id": "b79439f2-0dc9-42a8-9b19-1226b29ac82b", + "metadata": {}, + "source": [ + "### Embedding content \n", + "\n", + "\n", + "[TOC](#1-Technical-Elements)\n", + "\n", + "\n", + "#### Inline images\n", + "\n", + "\n", + "We have \"in markdown cell\" methods (4) and more options \"in Python cell\". \n", + "\n", + "\n", + "##### What works in Jupyter Book render but fails locally\n", + "\n", + "`figure` and `image` directives.\n", + "\n", + "\n", + "```{figure} ../img/revelle.jpg\n", + "---\n", + "height: 300px\n", + "name: directive-fig\n", + "---\n", + "Research Vessel Revelle (Scripps)\n", + "```\n", + "\n", + "\n", + "```{image} ../img/revelle.jpg\n", + ":alt: revelle\n", + ":class: bg-primary mb-1\n", + ":width: 500px\n", + ":align: left\n", + "```\n", + "\n", + "\n", + "\n", + "##### What fails in Jupyter Book render but works locally\n", + "\n", + "\n", + "HTML `\n", + "\"drawing\"\n", + "
\n", + "
\n", + "\n", + " \n", + "##### What works in Jupyter Book and locally but size not adjustable\n", + "\n", + "\n", + "!-alt-link construct.\n", + "\n", + "\n", + "![alt](../img/revelle.jpg)" + ] + }, + { + "cell_type": "markdown", + "id": "3f8a9fdc-399a-427b-993e-3de931bc1b59", + "metadata": {}, + "source": [ + "#### Local animation file (mp4) playback" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "0ed45d5d-0d15-4894-bc0b-2629205c0cde", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from IPython.display import HTML, Video\n", + "Video('./../img/multisensor_animation.mp4', embed=True, width = 500, height = 500)" + ] + }, + { + "cell_type": "markdown", + "id": "dae0986e-9d6e-4318-8a18-4af07baa9158", + "metadata": {}, + "source": [ + "#### Audio file (mp3) playback\n", + "\n", + "\n", + "```\n", + "from IPython.display import Audio\n", + "Audio(\".mp3\")\n", + "```\n", + "\n", + " \n", + "#### YouTube video playback\n", + "\n", + "\n", + "```\n", + "from IPython.display import YouTubeVideo\n", + "YouTubeVideo('sjfsUzECqK0')\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "15435601-0c8b-4fdc-a4d3-1f26f3a10ab1", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/jpeg": 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\n", + "text/html": [ + "\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from IPython.display import YouTubeVideo\n", + "YouTubeVideo('sjfsUzECqK0')" + ] + }, + { + "cell_type": "markdown", + "id": "0d259407-4353-41d6-98c1-6a5b82c30fca", + "metadata": {}, + "source": [ + "### Shell integration\n", + "\n", + "\n", + "[TOC](#1-Technical-Elements)\n", + "\n", + "\n", + "### Working with NetCDF XArray and Pandas\n", + "\n", + "\n", + "[TOC](#1-Technical-Elements)\n", + "\n", + "\n", + "#### Summary\n", + "\n", + "\n", + "For a general take on data manipulation, particularly with `pandas`: \n", + "See Jake VanDerplas' excellent book Python Data Science Handbook. \n", + "\n", + "\n", + "We have here multi-dimensional oceanography datasets in\n", + "NetCDF and CSV format. Corresponding Python libraries are `XArray` and `pandas`.\n", + "On import these libraries are abbreviated `xr` and `pd` respectively.\n", + "\n", + "\n", + "The XArray method `.open_dataset('somefile.nc')` returns an XArray Dataset:\n", + "A set of XArray DataArrays. The Dataset includes four (or more*) sections: `Dimensions`, \n", + "`Coordinates`, `Data Variables`, and `Attributes`. To examine a Dataset\n", + "called `A`: Run `A` (i.e. on a line by itself) to see these constituent sections. \n", + "\n", + "\n", + "* \"more than four\": Discovered while looking at seismic (DAS) data: Some XArray\n", + "data may include yet another internal organizing structure.\n", + "\n", + "\n", + "In pandas the data structure is a DataFrame. Here these are used to manage \n", + "shallow profiler ascent/descent/rest metadata.\n", + "\n", + "\n", + "Common reductive steps once data are read include removing extraneous components from\n", + "a dataset, downsampling, removing NaN values, changing the primary `dimension`\n", + "from `obs` (for 'observation') to `time`, combining multiple data files into \n", + "a single dataset, saving modified datasets to new files, and creating charts. \n", + "\n", + "\n", + "Datasets that reside within this [GitHub repository](https://github.com/robfatland/ocean)\n", + "have to stay pretty small. Larger datasets are downloaded to an external folder. \n", + "See for example the use of `wget` in the **`Global Ocean`** notebook.\n", + "The following code shows reduction of a global ocean temperature data file to just\n", + "the data of interest (temperature as a 3-D scalar field). \n", + "\n", + "\n", + "```\n", + "# Reduce volume of an XArray Dataset with extraneous Data Variables:\n", + "T=xr.open_dataset('glodap_oxygen.nc')\n", + "T.nbytes\n", + "T=T[['temperature', 'Depth']]\n", + "T.nbytes\n", + "T.to_netcdf('temperature.nc') \n", + "```\n", + "\n", + "Data can be down-sampled for example by averaging multiple samples. A tradeoff in down-sampling \n", + "Regional Cabled Array shallow profiler data however is this: Data collected during profiler \n", + "ascent spans 200 meters of water column depth in one hour, or about 6 centimeters per sec. \n", + "A 'thin layer' of signal variation might be washed out by combining samples. \n", + "\n", + "\n", + "This repository does include a number of examples of down-sampling and otherwise selecting out\n", + "data subsets. \n", + "\n", + "\n", + "\n", + "\n", + "#### XArray Datasets and DataArrays\n", + "\n", + "\n", + "##### Summary\n", + "\n", + "There are a million little details about working with XArray Datasets, DataArrays, numpy arrays, pandas DataFrames,\n", + "pandas arrays... let's begin! The main idea is that a **DataArray** is an object containing, in the spirit of \n", + "the game, one sort of data; and a **Dataset** is a collection of associated **DataArray**s. \n", + "\n", + "\n", + "##### XArray ***Dataset*** basics\n", + "\n", + "**Datasets** abbreviated `ds` have components { dimensions, coordinates, data variables, \n", + "attributes }.\n", + "\n", + "\n", + "A **DataArray** relates to a **`name`**; needs elaboration. \n", + "\n", + "\n", + "```\n", + "ds.variables\n", + "\n", + "ds.data_vars # 'dict-like object'\n", + "\n", + "for dv in ds.data_vars: print(dv)\n", + " \n", + "choice = 2\n", + "this_data_var = list(ds.data_vars)[choice]\n", + "print(this_data_var)\n", + "\n", + "ds.coords\n", + "ds.dims\n", + "ds.attrs\n", + "```\n", + "\n", + "\n", + "\n", + "##### Load via `open_mfdataset()` with dimension swap from `obs` to `time`\n", + "\n", + "\n", + "A single NetCDF (`.nc`) file can be opened as an XArray Dataset using `xr.open_dataset(fnm)`. \n", + "Multiple files can be opened as a single XArray Dataset via `xr.open_mfdataset(fnm*.nc)`. \n", + "`mf` stands for `multi-file`. Note \n", + "the wildcard `fnm*` is supported. \n", + "\n", + "```\n", + "def my_preprocessor(fds): return fds.swap_dims({'obs':'time'})\n", + "\n", + "ds = xr.open_mfdataset('files*.nc', \\\n", + " preprocess = my_preprocessor, \\\n", + " concat_dim='time', combine='by_coords')\n", + "```\n", + "\n", + "##### Obstacle: Getting information out of a Dataset\n", + "\n", + "\n", + "There is a sort of comprehension / approach that I have found hard to internalize.\n", + "With numpy ndarrays, XArray Datasets, etcetera there is this \"how do I get at it?\"\n", + "problem. As this documentation evolves I will try and articulate the most helpful\n", + "mindset. The starting point is that Datasets are built as collections of DataArrays; \n", + "and these have an indexing protocol the merges with a method protocol (`sel`, `merge`\n", + "and so on) where the end-result code that does what I want is inevitably very \n", + "elegant. So it is a process of learning that elegant sub-language...\n", + "\n", + "\n", + "##### Synthesizing along the dimension via `.concat`\n", + "\n", + "\n", + "```\n", + "ds_concat = xr.concat([ds.sel(time=\n", + "```\n", + "\n", + "\n", + "##### Recover a time value as `datetime64` from a Dataset by index\n", + "\n", + "\n", + "If `time` is a `dimension` it can be referenced via `ds.time[i]`. However\n", + "this will be a 1-Dimensional, 1-element DataArray. Adding `.data`\n", + "and casting the resulting ndarray (with one element) as a `dt64` works.\n", + "\n", + "```dt64(ds.time[i].data)```\n", + "\n", + "\n", + "##### Example: XArray transformation flow\n", + " \n", + " \n", + "As an example of the challenge of learning `XArray`: The reduction of this data to binned profiles\n", + "requires a non-trivial workflow. A naive approach can result in a calculation that should take \n", + "a seconds run for hours. (A key idea of this workflow -- the sortby() step -- is found on page 137 of **PDSH**.)\n", + " \n", + " \n", + "- `swap_dims()` to substitute `pressure` for `time` as the ordinate dimension\n", + "- `sortby()` to make the `pressure` dimension monotonic\n", + "- Create a pressure-bin array to guide the subsequent data reduction\n", + "- `groupby_bins()` together with `mean()` to reduce the data to a 0.25 meter quantized profile\n", + "- use `transpose()` to re-order wavelength and pressure, making the resulting `DataArray` simpler to plot\n", + "- accumulate these results by day as a list of `DataArrays`\n", + "- From this list create an `XArray Dataset`\n", + "- Write this to a new NetCDF file\n", + "\n", + "\n", + "##### needs sorting\n", + "\n", + "- Copy: `dsc = ds.copy()`\n", + "- Coordinate to data variable: `ds = ds.reset_coords('seawater_pressure')`\n", + "\n", + "##### Example: XArray Dataset subset and chart\n", + "\n", + "\n", + "Time dimension slice:\n", + "\n", + "```\n", + "ds = xr.open_dataset(\"file.nc\")\n", + "ds = ds.sel(time=slice(t0, t1))\n", + "ds\n", + "```\n", + "\n", + "This shows that the temperature Data Variable has a cumbersome name: \n", + "`sea_water_temperature_profiler_depth_enabled`. \n", + "\n", + "```\n", + "ds = ds.rename({'sea_water_temperature_profiler_depth_enabled':'temperature'})\n", + "```\n", + "\n", + "Plot this against the default dimension `time`:\n", + "\n", + "```\n", + "ds.temperature.plot()\n", + "```\n", + "\n", + "Temperature versus depth rather than time:\n", + "\n", + "```\n", + "fig, axs = plt.subplots(figsize=(12,4), tight_layout=True)\n", + "axs.plot(ds.temperature, -ds.z, marker='.', markersize=9., color='k', markerfacecolor='r')\n", + "axs.set(ylim = (200., 0.), title='temperature against depth')\n", + "```\n", + "\n", + "Here `ds.z` is negated to indicate depth below ocean surface.\n", + "\n", + "\n", + "### More cleanup of Datasets: rename() and drop()\n", + "\n", + "\n", + "* Use `ds = ds.rename(dictionary-of-from-to)` to rename data variables in a Dataset\n", + "* Use `ds = ds.drop(string-name-of-data-var)` to get rid of a data variable\n", + "* Use `ds = ds[[var1, var2]]` to eliminate all but those two variables\n", + "\n", + "\n", + "##### XArray ***DataArray*** name and length\n", + "\n", + "\n", + "```\n", + "sensor_t.name\n", + "\n", + "len(sensor_t)\n", + "len(sensor_t.time) # gives same result\n", + "```\n", + "\n", + "What is the name of the controlling dimension?\n", + "\n", + "```\n", + "if sensor_t.dims[0] == 'time': print('time is dimension zero')\n", + "```\n", + "\n", + "Equivalent; but the second version permits reference by \"discoverable\" string.\n", + "\n", + "\n", + "```\n", + "sensor_t = ds_CTD_time_slice.seawater_temperature\n", + "sensor_t = ds_CTD_time_slice['seawater_temperature']\n", + "```\n", + "\n", + "###### Plotting with scaling and offsetting\n", + "\n", + "Suppose I wish to shift some data left to contrast it with some other data (where they would clobber one another)...\n", + "\n", + "```\n", + "sensor_t + 0.4\n", + "```\n", + "\n", + "Suppose I wish to scale some data in a chart to make it easier to interpret given a fixed axis range\n", + "\n", + "```\n", + "sensor_t * 10. # this fails by trying to make ten copies of the array\n", + "\n", + "np.ones(71)*3.*smooth_t # this works by creating an inner product\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "797918c8-9b2c-4de9-aa5a-f1b5ad1b55bb", + "metadata": {}, + "source": [ + "### Time\n", + "\n", + "\n", + "[TOC](#1-Technical-Elements)\n", + "\n", + "\n", + "\n", + "### Missing data\n", + "\n", + "\n", + "[TOC](#1-Technical-Elements)\n", + "\n", + "\n", + "### Resampling\n", + "\n", + "\n", + "[TOC](#1-Technical-Elements)\n", + "\n", + "\n", + "\n", + "\n", + "#### Filtering with xrscipy\n", + "\n", + "\n", + "Some shallow profiler signals (particularly current) are noisy even at\n", + "1Min resolution. This suggests a low-pass filter. `xr-scipy` is a thin wrapper \n", + "of scipy for xarray eco-system. It includes digital filter machinery.\n", + "\n", + "\n", + "- [main site](https://xr-scipy.readthedocs.io/en/latest/index.html)\n", + "- [geo applications site](https://scrapbox.io/pycoaj/xr-scipy)\n", + "\n", + "\n", + "```\n", + "import xrscipy.other.signal as dsp\n", + "t = np.linspace(0, 1, 1000) # seconds\n", + "sig = xr.DataArray(np.sin(16*t) + np.random.normal(0, 0.1, t.size),\n", + " coords=[('time', t)], name='signal')\n", + "sig.plot(label='noisy')\n", + "low = dsp.lowpass(sig, 20, order=8) # cutoff at 20 Hz\n", + "low.plot(label='lowpass', linewidth=5)\n", + "plt.legend()\n", + "plt.show()\n", + "```\n", + "\n", + "(package not installed yet)\n", + "\n", + "\n", + "\n", + "### Mapping\n", + "\n", + "\n", + "[TOC](#1-Technical-Elements)\n", + "\n", + "\n", + "- cf PyGMT\n", + "\n", + "\n", + "\n", + "### Visualization\n", + "\n", + "\n", + "[TOC](#1-Technical-Elements)\n", + "\n", + "\n", + "#### Overview\n", + "\n", + "\n", + "There are two Python plotting libraries: **`matplotlib`** and **`plotly`**. \n", + "**`plotly`** is more advanced and interactive. \n", + "[This link provides more background on it](https://plotly.com/python/) \n", + "including a gallery of examples of what is possible.\n", + "\n", + "\n", + "Turning to Matplotlib: This library includes the **`.pyplot`** sub-library, \n", + "a MATLAB-parity API. It is the `pyplot` sub-library that is \n", + "most commonly put to use building charts; and to make matters more confusing it is \n", + "habitually imported as `plt`, hence the ubiquitous import line: \n", + "`import matplotlib.pyplot as plt`. With the API now abbreviated as `plt` we \n", + "proceed to generating data charts. \n", + "\n", + "\n", + "To make things further complicated: Herein we often generate a grid of charts\n", + "for comparison using the `subplots` API call. As an example: \n", + "\n", + "\n", + "```\n", + "fig,ax=plt.subplots(3,3,figsize=(12,12))\n", + "```\n", + "\n", + "\n", + "- What is `fig`? A figure (???)\n", + "- What is `ax`? An array of artists (???)\n", + "\n", + "\n", + "\n", + "The main agenda of this repository can be summarized as: \n", + "\n", + "\n", + "- reduce a dataset to just some data of interest\n", + "- obtain metadata (profile timestamps for example)\n", + "- produce charts to visualize this data by means of `.scatter` and `.plot` directives\n", + "- proceed to various forms of data analysis\n", + "\n", + "\n", + "> There is a utility `.plot()` method built into XArray Datasets for a quick view of \n", + "a particular data variable along the `dimension` axis.\n", + "\n", + "\n", + "\n", + "> Needed: Detail on how to do formatting, example arguments:\n", + "> `vmin=4.,vmax=22.,xincrease=False`\n", + "\n", + "\n", + "> PDSH recommends the Seaborn library as a chart-building alternative with cleaner graphics.\n", + "\n", + "\n", + "#### Matplotlib\n", + "\n", + "\n", + "Big topic: Building charts using the matplotlib library. Here's one to begin with." + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "3c8bc626-1060-4b37-aa5c-5be6846e15c3", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from matplotlib import pyplot as plt\n", + "fig, axs = plt.subplots(figsize=(2.5,4), tight_layout=True)\n", + "axs.plot([7, 6, 2, 0, 5, 0, 0.5, 2], [1, 2, 3, 4, 5, 6, 7, 8], marker='.', markersize=14, color='black', markerfacecolor='red')\n", + "axs.set_title('some artificial data'); axs.set_ylabel('observation number'); axs.set_xlabel('measurement'); plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "fc1281df-3f50-4f1a-bddf-2ffbfb15c587", + "metadata": {}, + "source": [ + "This chart is an abbreviated archetype of an initial shallow profiler chart:\n", + "The vertical axis corresponds to depth, horizontal is a physical measurement. Let's belabor\n", + "this for a moment by supposing color coding the markers 'from a separate measurement'." + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "1dae7e34-d07d-4520-8445-c949d45dd46c", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from matplotlib import pyplot as plt\n", + "fig, axs = plt.subplots(figsize=(2.5,4), tight_layout=True)\n", + "axs.plot([7, 6, 2, 0, 5, 0, 0.5, 2], [1, 2, 3, 4, 5, 6, 7, 8], marker='.', markersize=14, color='black', markerfacecolor='none')\n", + "axs.scatter([7, 6, 2, 0, 5, 0, 0.5, 2], [1, 2, 3, 4, 5, 6, 7, 8], marker='.', s=120, c=['r', 'y', 'cyan', 'cyan', 'r', 'b', 'b', 'g'])\n", + "axs.set_title('some artificial data'); axs.set_ylabel('observation number'); axs.set_xlabel('measurement'); plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "0e885ecc-11f7-4e84-b289-7ec0e00c153b", + "metadata": {}, + "source": [ + "The `axs.plot()` line is the same but for the color change to `'none'`. The result with the added scatter\n", + "plot color-codes each data marker. Building the `.scatter()` is not a trivial process, however, \n", + "(`markersize` changes to `s` and the value goes from `14` to `120`...) and the resulting chart is not clean." + ] + }, + { + "cell_type": "markdown", + "id": "a0aac9d9-1c5e-4017-981c-44e0bb78e3f4", + "metadata": {}, + "source": [ + "#### Widgets\n", + "\n", + "**Widgets** are an Interactive Python (IPython) library for building interactive visualizations. The idea is to set up \n", + "controls such as sliders or selectors that are *wired in* to charting code. Move the slider: Change\n", + "a parameter, redraw the chart.\n", + "\n", + "\n", + "### Containerization\n", + "\n", + "\n", + "[TOC](#1-Technical-Elements)\n", + "\n", + "\n", + "### Annotation\n", + "\n", + "\n", + "\n", + "[TOC](#1-Technical-Elements)\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "f29f5af9-ab96-4f00-86f9-7f5350b7b6dc", + "metadata": {}, + "source": [ + "## Shallow Profilers\n", + "\n", + "\n", + "As a complete system a shallow profiler consists of two instrument-bearing structures: \n", + "The *platform* and the *profiler*. The platform includes a winch with a cable that holds\n", + "the profiler in place during rest intervals. The profiler is positively buoyant so that as\n", + "the cable is paid out the profiler rises through the water column to near the surface.\n", + "The platform is anchored to the sea bed by means of two cables. Consequently during\n", + "conditions of strong current (storms for example) the platform can be temporarily\n", + "displaced laterally and downward.\n", + "\n", + "\n", + "### Data\n", + "\n", + "\n", + "- Getting datasets from the portal: 1-minute-sample, full resolution (1 sample per second)\n", + "- See the `data.ipynb` notebook\n", + "\n", + "\n", + "### Profile timing metadata\n", + "\n", + "\n", + "- Nine daily profiles: 7 regular + 2 special: noon/midnight variants\n", + "- Basic charts: **Depth** vs { **A**, **B**, **C**, ... }\n", + "- Noon/Midnight charts: pCO2 (Descent), pH (Descent), Nitrate (Ascent), Spectral Irradiance (Ascent)\n", + "\n", + "\n", + "### Turbulence\n", + "\n", + "\n", + "### Comparatives\n", + "\n", + "- Ascent versus Descent\n", + "- At Rest versus Platform\n", + "- Profiler versus Discrete CTD cast data (VISIONS cruises)\n", + " \n", + " \n", + "### BioOptics\n", + "\n", + "- FDOM/CDOM and Chlorophyll\n", + "- Spectral Irradiance\n", + "- Spectrophotometer\n", + "\n", + "\n", + "### More on visualization in practice\n", + "\n", + "\n", + "- Interactivity: Sliders, Widgets\n", + "- Visualizing in 3D\n", + "- Saving charts as `.png` images\n", + "- Creating chart animations" + ] + }, + { + "cell_type": "markdown", + "id": "746498ae-a9fe-4863-8627-cf6a4d033421", + "metadata": {}, + "source": [ + "\n", + " \n", + " \n", + "### Data manipulation\n", + "\n", + "#### XArray Dataset operations\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "e7a5517b-4edf-453f-bf3e-94005d3fb05f", + "metadata": {}, + "source": [ + "#### [Top](#Introduction) and [Table of Contents](#Table-of-Contents)\n", + "\n", + "\n", + "### Shallow profiler **`instrument; sensor(s)`** abbreviation table \n", + "\n", + "\n", + "| OOI abbrev | sensors |remark|simple abbrevs|\n", + "|--|--|--|--|\n", + "|ctdpf|3|CTD: includes a variety of sensors|ctd; salinity, temperature, pressure, density, conductivity\n", + "|pco2|1|carbonate chemistry, midnight and noon *descent* only|pco2; pco2\n", + "|phsen|1|pH, midnight and noon *descent* only|ph; ph\n", + "|nutnr|2|nitrate, dark samples; midnight and noon *ascent* only|nitrate; nitrate\n", + "|flort|3|Fluorometer triplet: chlorophyll-A, FDOM, backscatter|fluor; chlora, fdom, bb\n", + "|spkir|7|spectral irradiance: optical absorbance and beam attenuation|spkir; oa\\#, ba\\#\n", + "|parad|1|photosynthetically available radiation 'PAR'|par; par\n", + "|optaa|86|spectrophotometer: 86 bands, ascent noon/midnight|sp; sp\\#\\#" + ] + }, + { + "cell_type": "markdown", + "id": "massive-rabbit", + "metadata": {}, + "source": [ + "### Slow resampling problem\n", + "\n", + "\n", + "The shallow profiler spectrophotometer has 86 channels. Each observation has \n", + "a corresponding depth and time, typically several thousand per profile.\n", + "The XArray Dataset has `time` swapped in for `obs` dimension but we are \n", + "interested in resampling into depth bins. This took hours; which was \n", + "puzzling. However page 137 of PDSH, on **Rearranging Multi-Indices**\n", + "and **Sorted and unsorted indices** provides this resolution: \n", + "\n", + "> ***Rearranging Multi-indices***
\n", + "One of the keys to working with multiply indexed data is knowing how to effectively \n", + "transform the data. There are a number of operations that will preserve all the \n", + "information in the dataset, but rearrange it for the purposes of various computations. \n", + "[...] There are many [ways] to finely control the rearrangement\n", + "of data between heirarchical indices and columns.\n", + " \n", + "> ***Sorted and unsorted indices***
\n", + "Earlier, we briefly mentioned a caveat, but we should emphasize it more here. \n", + "*Many of the `MultiIndex`slicing operations will fail if the index is not sorted.*" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "b63ab051-5eef-44ee-94eb-38aa0a1db505", + "metadata": {}, + "outputs": [ + { + "ename": "SyntaxError", + "evalue": "unterminated string literal (detected at line 60) (1449922703.py, line 60)", + "output_type": "error", + "traceback": [ + "\u001b[0;36m Cell \u001b[0;32mIn[43], line 60\u001b[0;36m\u001b[0m\n\u001b[0;31m * qc points to total volume scattering and optical backscatter but I'll keep all three\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m unterminated string literal (detected at line 60)\n" + ] + } + ], + "source": [ + "# Adrift content\n", + "\n", + "\n", + "\n", + "- merge() ...?... \n", + " - Order: `.merge()` then `.resample()` with `mean()`; or vice versa? (existing code is vice-versa)\n", + " - This approach does resampling prior to merge but was taking way too long\n", + "- resampling\n", + "\n", + "```\n", + "ds = ds.reset_coords('seawater_pressure') # converts the coordinate to a data variable\n", + "ds_mean = ds.resample(time='1Min').mean()\n", + "ds_std = ds.resample(time='1Min').std()\n", + "```\n", + "\n", + "- How to copy a dataset, how to move a coordinate to a data variable\n", + "\n", + " - ./images/misc/optaa_spectra_0_10_20_JAN_2019.png\n", + " - ./images/misc/nitrate_2019_JAN_1_to_10.png\n", + "- pH sensor fire once at the end of every profile; back in the platform***\n", + "- Manufacturer etc: [here](https://interactiveoceans.washington.edu/instruments/).\n", + "- ...but the DataArray can itself be invoked with `.attrs` to see additional attributes that are invisible\n", + "\n", + "```\n", + "ds.density.attrs\n", + "```\n", + "\n", + "- Optical absorption spectrophotometer\n", + " * Seabird Scientific (acquired WETLABS): 'AC-S' model (shallow profilers)\n", + " * 86 wavelengths per sample; in practice some nan values at both ends\n", + " * Interview Chris for more procedural / interpretive SME\n", + " * Operates only during shallow profiler ascents\n", + " * Only on the two \"nitrate\" ascents each day\n", + " * One sample per 0.27 seconds\n", + " * However it often does a \"skip\" with a sample interval about 0.5 seconds\n", + " * Spectral absorption: parameter `a`, values typically 20 - 45. \n", + " * Attenuation is `c` with values on 0 to 1.\n", + " * Coordinates we want are `time`, `int_ctd_pressure`, `wavelength`\n", + " * `time` and `wavelength` are also dimensions\n", + " * Data variables we want are `beam_attenuation` (this is `c`) and `optical_absorption` (`a`)\n", + " * Per year data is about 1.7 billion floating point numbers\n", + " * 86 wavelengths x 2 (c, a) x 2 (ascent / day) x 14,000 (sample / ascent) x 365\n", + "\n", + " \n", + "\n", + "- Photosynthetically Active Radiation (PAR)\n", + " * Devices mounted on the shallow profiler and the SP platform\n", + " * Seabird Scientific (from acquisition of Satlantic): PAR model\n", + " * Some ambiguity in desired result: `par`, `par_measured` and `par_counts_output` are all present in the data file\n", + " * Since `qc` values are associated with it I will simply use `par_counts_output`\n", + " \n", + " \n", + "- Fluorometer\n", + " * WETLABS (Seabird Scientific from acquisition) Triplet\n", + " * Chlorophyll emission is at 683 nm\n", + " * Measurement wavelengths in nm are 700.0 (scattering), 460.0 (cdom) and 695.0 (chlorophyll)\n", + " * Candidate Data variables\n", + " * Definites are `fluorometric_chlorophyll_a` and `fluorometric_cdom`\n", + " * Possibles are `total_volume_scattering_coefficient`, `seawater_scattering_coefficient`, `optical_backscatter`\n", + " * qc points to total volume scattering and optical backscatter but I'll keep all three\n", + " \n", + " \n", + "- Nitrate nutnr_a_sample and nutnr_a_dark_sample\n", + " * The nitrate run ascent is ~62 minutes (ascent only); ~3 meters per minute\n", + " * Ascent is about 14,000 samples; so 220 samples per minute\n", + " * That is 70 samples per meter depth over 20 seconds\n", + " * Per the User's Manual post-processing gets rather involved\n", + "\n", + "\n", + "- pCO2 water (two streams: pco2w_b_sami_data_record and pco2w_a_sami_data_record)\n" + ] + }, + { + "cell_type": "markdown", + "id": "weighted-retro", + "metadata": { + "tags": [] + }, + "source": [ + "#### [Top](#Introduction) and [Table of Contents](#Table-of-Contents)\n", + "\n", + "\n", + "### One minute resampling\n", + "\n", + "\n", + "This is the practical implementation of index sorting described above and in *PDSH*.\n", + "\n", + "\n", + "`XArray Datasets` feature selection by time range: `ds.sel(time=slice(timeA, timeB))`\n", + "and resampling by time interval: `ds.resample(time='1Min').mean()`. \n", + "(Substitute `.std()` to expand into standard deviation signals.)\n", + "\n", + "\n", + "```\n", + "ds = xr.open_dataset(ctd_data_filename)\n", + "tJan1 = dt64('2019-01-01')\n", + "tFeb1 = dt64('2019-02-01')\n", + "ds = ds.sel(time=slice(tJan1, tFeb1))\n", + "ds1Min = ds.resample(time='1Min').mean()\n", + "```\n", + "\n", + "\n", + "\n", + "The problem however is that the resample() execution in the code above\n", + "can hang. The select operation `.sel()` is not understood by XArray as a monotonic\n", + "time dimension monotonic. It may be treated as a jumble even if it is not! \n", + "This can become even more catastrophic when other dimensions are present. \n", + "The following work-around uses `pandas Dataframes`. \n", + "\n", + "\n", + "\n", + "This code moves the \n", + "XArray Dataset contents into a pandas DataFrame.\n", + "Here they are resampled properly; and the resulting\n", + "columns are converted into a list of XArray DataArrays.\n", + "These are then combined to form a new Dataset with \n", + "the desired resampling completed quickly. \n", + "\n", + "\n", + "\n", + "```\n", + "df = ds.to_dataframe().resample(\"1Min\").mean()\n", + "vals = [xr.DataArray(data=df[c], \\\n", + " dims=['time'], \\\n", + " coords={'time':df.index}, \\\n", + " attrs=ds[c].attrs) \\\n", + " for c in df.columns]\n", + "ds = xr.Dataset(dict(zip(df.columns, vals)), attrs=ds.attrs)\n", + "ds.to_netcdf('new_data_file.nc')\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "above-boating", + "metadata": {}, + "source": [ + "Flourometry code redux: For OSB shallow profiler triplet, to 1Min samples, JAN 2019\n", + "\n", + "\n", + "```\n", + "ds_Fluorometer = xr.open_dataset('/data/rca/fluorescence/osb_sp_flort_2019.nc')\n", + "time_jan1, time_feb1 = dt64('2019-01-01'), dt64('2019-02-01')\n", + "ds_Fluor_jan2019 = ds_Fluorometer.sel(time=slice(time_jan1, time_feb1))\n", + "df = ds_Fluor_jan2019.to_dataframe().resample(\"1Min\").mean()\n", + "vals = [xr.DataArray(data=df[c], dims=['time'], coords={'time':df.index}, \\\n", + " attrs=ds_Fluor_jan2019[c].attrs) for c in df.columns]\n", + "xr.Dataset(dict(zip(df.columns, vals)), \\\n", + " attrs=ds_Fluor_jan2019.attrs).to_netcdf('./data/rca/fluorescence/osb_sp_fluor_jan2019.nc')\n", + "```\n", + "\n", + "Spectral irradiance stopgap version: Break out by spectrum (should be dimension of just one file).\n", + "\n", + "```\n", + "spectral_irradiance_source = '/data/rca/irradiance/'\n", + "spectral_irradiance_data = 'osb_sp_spkir_2019.nc'\n", + "ds_spectral_irradiance = xr.open_dataset(spectral_irradiance_source + spectral_irradiance_data)\n", + "ds_spectral_irradiance\n", + "time_jan1, time_feb1 = dt64('2019-01-01'), dt64('2019-02-01')\n", + "ds_Irr_jan2019 = ds_spectral_irradiance.sel(time=slice(time_jan1, time_feb1))\n", + "df = [ds_Irr_jan2019.sel(spectra=s).to_dataframe().resample(\"1Min\").mean() for s in ds_Irr_jan2019.spectra]\n", + "r = [xr.Dataset(dict(zip(q.columns, \n", + " [xr.DataArray(data=q[c], dims=['time'], coords={'time':q.index}, \\\n", + " attrs=ds_Irr_jan2019[c].attrs) for c in q.columns] \\\n", + " ) ), \n", + " attrs=ds_Irr_jan2019.attrs)\n", + " for q in df]\n", + "for i in range(7): r[i].to_netcdf('./data/rca/irradiance/osb_sp_irr_spec' + str(i) + '.nc')\n", + "```\n", + "\n", + "\n", + "Spectral irradiance related skeleton code showing use of `.isel(spectra=3)`: \n", + "\n", + "\n", + "```\n", + "ds = ds_spkir.sel(time=slice(time0, time1))\n", + "da_depth = ds.int_ctd_pressure.resample(time='1Min').mean()\n", + "dsbar = ds.resample(time='1Min').mean()\n", + "dsstd = ds.resample(time='1Min').std()\n", + "dsbar.spkir_downwelling_vector.isel(spectra=3).plot()\n", + "\n", + "\n", + "plot_base_dimension = 4\n", + "indices = [0, 1, 2, 3, 4, 5, 6]\n", + "n_indices = len(indices)\n", + "da_si, da_st = [], []\n", + "\n", + "\n", + "for idx in indices: \n", + " da_si.append(dsbar.spkir_downwelling_vector.isel(spectra=idx))\n", + " da_st.append(dsstd.spkir_downwelling_vector.isel(spectra=idx))\n", + "\n", + "\n", + "fig, axs = plt.subplots(n_indices, 2, figsize=(4*plot_base_dimension, plot_base_dimension*n_indices), /\n", + " sharey=True, tight_layout=True)\n", + "\n", + "\n", + "axs[0][0].scatter(da_si[0], da_depth, marker=',', s=1., color='k') \n", + "axs[0][0].set(ylim = (200., 0.), xlim = (-.03, .03), title='spectral irradiance averaged')\n", + "axs[0][1].scatter(da_st[0], da_depth, marker=',', s=1., color='r')\n", + "axs[0][1].set(ylim = (200., 0.), xlim = (0., .002), title='standard deviation')\n", + "\n", + "\n", + "for i in range(1, n_indices):\n", + " axs[i][0].scatter(da_si[i], da_depth, marker=',', s=1., color='k')\n", + " axs[i][0].set(ylim = (200., 0.), xlim = (-.03, .03))\n", + " axs[i][1].scatter(da_st[i], da_depth, marker=',', s=1., color='r')\n", + " axs[i][1].set(ylim = (200., 0.), xlim = (0., .002))\n", + "```\n", + "\n", + "Code for PAR\n", + "\n", + "```\n", + "par_source = '/data/rca/par/'\n", + "par_data = 'osb_sp_parad_2019.nc'\n", + "ds_par = xr.open_dataset(par_source + par_data)\n", + "time_jan1 = dt64('2019-01-01')\n", + "time_feb1 = dt64('2019-02-01')\n", + "ds_par_jan2019 = ds_par.sel(time=slice(time_jan1, time_feb1))\n", + "df = ds_par_jan2019.to_dataframe().resample(\"1Min\").mean()\n", + "vals = [xr.DataArray(data=df[c], dims=['time'], coords={'time':df.index}, attrs=ds_par_jan2019[c].attrs) for c in df.columns]\n", + "ds_par_jan2019_1Min = xr.Dataset(dict(zip(df.columns, vals)), attrs=ds_par_jan2019.attrs)\n", + "osb_par_nc_file = \"./data/rca/par/osb_sp_par_jan2019.nc\"\n", + "ds_par_jan2019_1Min.to_netcdf(osb_par_nc_file)\n", + "```\n", + "\n", + "PAR view: during shallow profiler rise/fall sequences\n", + "\n", + "```\n", + "t0, t1 = '2019-07-17T13', '2019-07-18T05'\n", + "t0, t1 = '2019-07-17T18:40', '2019-07-17T19:40'\n", + "t0, t1 = '2019-07-17T21', '2019-07-17T23:00' # These are the nitrate profiles\n", + "t0, t1 = '2019-07-18T21', '2019-07-18T23:00'\n", + "t0, t1 = '2019-07-19T21', '2019-07-19T23:00'\n", + "t0, t1 = '2019-07-17T18:40', '2019-07-17T19:40' # These are the profiles prior to nitrate\n", + "t0, t1 = '2019-07-18T18:40', '2019-07-18T19:40'\n", + "t0, t1 = '2019-07-19T18:40', '2019-07-19T19:40'\n", + "da = ds_parad.sel(time=slice(t0, t1)).par_counts_output\n", + "p=da.plot.line(marker='o', figsize = (14,8), markersize=1, yincrease = True)\n", + "```\n", + "\n", + "Staged 'nitrate' profile compared with 'normal' profile\n", + "\n", + "```\n", + "t0, t1 = '2019-07-19T20:30', '2019-07-19T23:50' # USE THIS!! This is a good nitrate profile time bracket\n", + "t0, t1 = '2019-07-19T18:40', '2019-07-19T19:40'\n", + "da = ds_parad.sel(time=slice(t0, t1)).int_ctd_pressure\n", + "p=da.plot.line(marker='o', figsize = (14,8), markersize=1, yincrease = False)\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "formed-moses", + "metadata": {}, + "source": [ + "#### [Top](#Introduction) and [Table of Contents](#Table-of-Contents)\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "### Event handling and debugging\n", + "\n", + "\n", + "See the Annotate notebook on creating an event handler for interactivity. \n", + "\n", + "\n", + "> Key: Declare an event handler variable as `global`. It can now be examined in a \n", + "subsequent cell.\n", + "\n", + "\n", + "### Dual-purpose axis\n", + "\n", + "\n", + "Place two charts adjacent with the same y-axis (say depth). Now combine them, trading off\n", + "condensed information with clutter. This is done using the `.twiny()` or `.twinx()` methods. \n", + "See the BioOptics notebook for examples. \n", + "\n", + "\n", + "### Grid of charts\n", + "\n", + "\n", + "This is example code for time-series data. It sets up a 3 x 3 grid of charts. These are matched to a 2-D set of\n", + "axes (the 'a' variable) with both the scatter() and plot() constructs.\n", + "\n", + "```\n", + "rn = range(9); rsi = range(7)\n", + "\n", + "p,a=plt.subplots(3, 3, figsize=(14,14)) # first 3 is vertical count, second 3 is horizontal count\n", + "\n", + "plt.rcParams.update({'font.size': 10})\n", + "\n", + "a[0,0].plot(ctdF.time, ctdF.depth, color='r'); a[0,0].set(ylim=(200.,0.), title='Depth')\n", + "a[0,1].plot(ctdF.time, ctdF.salinity, color='k'); a[0,1].set(title='Salinity')\n", + "a[0,2].plot(ctdF.time, ctdF.temperature, color='b'); a[0,2].set(title='Temperature')\n", + "a[1,0].plot(ctdF.time, ctdF.dissolved_oxygen, color='b'); a[1,0].set(title='Dissolved Oxygen')\n", + "a[1,1].scatter(phF.time.values, phF.ph_seawater.values, color='r'); a[1,1].set(title='pH')\n", + "a[1,2].scatter(nitrateF.time.values, nitrateF.scn.values, color='k'); a[1,2].set(title='Nitrate')\n", + "a[2,0].plot(parF.time, parF.par_counts_output, color='k'); a[2,0].set(title='Photosynthetic Light')\n", + "a[2,1].plot(fluorF.time, fluorF.fluorometric_chlorophyll_a, color='b'); a[2,1].set(title='Chlorophyll')\n", + "a[2,2].plot(siF.time, siF.si0, color='r'); a[2,2].set(title='Spectral Irradiance')\n", + "\n", + "a[2,0].text(dt64('2017-08-21T07:30'), 155., 'local midnight', rotation=90, fontsize=15, color='blue', fontweight='bold')\n", + "a[2,2].text(dt64('2017-08-21T07:30'), 4.25, 'local midnight', rotation=90, fontsize=15, color='blue', fontweight='bold')\n", + "\n", + "tFmt = mdates.DateFormatter(\"%H\") # an extended format for strftime() is \"%d/%m/%y %H:%M\"\n", + "t0, t1 = ctdF.time[0].values, ctdF.time[-1].values # establish same time range for each chart\n", + "tticks = [dt64('2017-08-21T06:00'), dt64('2017-08-21T12:00'), dt64('2017-08-21T18:00')]\n", + "\n", + "for i in rn: j, k = i//3, i%3; a[j, k].set(xlim=(t0, t1),xticks=tticks); a[j, k].xaxis.set_major_formatter(tFmt)\n", + "print('')\n", + "```\n", + "\n", + "\n", + "Please note that Software Carpentry (Python) uses a post-facto approach to axes. \n", + "In what follows there is implicit use of numpy 'collapse data along a particular\n", + "dimension' using the `axis` keyword. So this is non-trivial code; but main point \n", + "it shows adding axes to the figure.\n", + "\n", + "```\n", + "fig = plt.figure(figsize=(10,3))\n", + "\n", + "axes1 = fig.add_subplot(1,3,1)\n", + "axes2 = fig.add_subplot(1,3,2)\n", + "axes3 = fig.add_subplot(1,3,3)\n", + "\n", + "avg_data = numpy.mean(data, axis=0)\n", + "min_data = numpy.min(data, axis=0)\n", + "max_data = numpy.max(data, axis=0)\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "simple-contributor", + "metadata": {}, + "source": [ + "#### [Top](#Introduction) and [Table of Contents](#Table-of-Contents)\n", + "\n", + "\n", + "### Making animations\n", + "\n", + "[Top](#Introduction)\n" + ] + }, + { + "cell_type": "markdown", + "id": "1bca32a7", + "metadata": {}, + "source": [ + "This section was lifted from the BioOptics.ipynb notebook and simplified. It illustrates **overloading** a chart to \n", + "show multiple sensor profiles evolving over time (frames). It also illustrates using markers along a line plot to\n", + "emphasize observation spacing." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "qualified-content", + "metadata": {}, + "outputs": [], + "source": [ + "# This code creates the animation; requires some time so it is commented out for now.\n", + "# anim = animation.FuncAnimation(fig, AnimateChart, init_func=AnimateInit, \\\n", + "# frames=nframes, interval=250, blit=True, repeat=False)\n", + "#\n", + "# Use 'HTML(anim.to_html5_video())'' for direct playback\n", + "# anim.save(this_dir + '/Images/animations/multisensor_animation.mp4')" + ] + }, + { + "cell_type": "markdown", + "id": "773fe8b2", + "metadata": {}, + "source": [ + "### 3D Charts\n", + "\n", + "First chart encodes data as shade of green.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ae9dd3bc", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "from mpl_toolkits import mplot3d\n", + "import numpy as np\n", + "%matplotlib inline\n", + "\n", + "zline = np.linspace(0,15,1000)\n", + "xline = np.sin(zline)\n", + "yline = np.cos(zline)\n", + "\n", + "zdata = 15*np.random.random(100)\n", + "xdata = np.sin(zdata) + 0.1 * np.random.randn(100)\n", + "ydata = np.sin(zdata) + 0.1 * np.random.randn(100)\n", + "\n", + "ax=plt.axes(projection='3d')\n", + "ax.plot3D(xline, yline, zline, 'gray')\n", + "ax.scatter3D(xdata, ydata, zdata, c=zdata, cmap='Greens')\n", + "ax.view_init(20,35)" + ] + }, + { + "cell_type": "markdown", + "id": "2676a379", + "metadata": {}, + "source": [ + "Second chart derives data from the busy beaver algorithm: An automaton moving about on \n", + "a 2D plane. The rules are encoded as changes to a velocity vector v; and cells have a \n", + "binary 'visit' status that toggles on each arrival." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "16534102", + "metadata": {}, + "outputs": [], + "source": [ + "nt, ngrid = 500000, 61\n", + "Z, W, x, y, v = np.zeros((ngrid,ngrid), dtype=int), np.zeros((ngrid,ngrid), dtype=int), ngrid//2, ngrid//2, (1, 0)\n", + "\n", + "def newv(b, v):\n", + " if b == 0: return (v[1], -v[0])\n", + " else: return (-v[1], v[0])\n", + "\n", + "for n in range(nt):\n", + " if x < 0 or y < 0 or x >= ngrid or y >= ngrid: break\n", + " v = newv(Z[x][y], v)\n", + " Z[x][y] = 1 - Z[x][y]\n", + " W[x][y] += 1\n", + " x += v[0]\n", + " y += v[1]\n", + "\n", + "fig = plt.figure(figsize=(8,8))\n", + "ax = plt.axes(projection='3d')\n", + "xg, yg = np.linspace(0, ngrid - 1, ngrid), np.linspace(0, ngrid - 1, ngrid)\n", + "X, Y = np.meshgrid(xg, yg)\n", + "ax.plot_wireframe(X,Y,W,color='red')\n", + "ax.view_init(40,-80)" + ] + }, + { + "cell_type": "markdown", + "id": "568aeb1f", + "metadata": {}, + "source": [ + "### To do\n", + "\n", + "\n", + "Print some 3D view with a rotating reference view. Write each view to an image file; \n", + "and use that in a flip book sense to create an animation. See the animation code \n", + "preceding this section, above, and the bio-optics notebook.\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "c230db14", + "metadata": {}, + "source": [ + "#### [Top](#Introduction) and [Table of Contents](#Table-of-Contents)\n", + "\n", + "\n", + "\n", + "## Binder-friendly playback\n", + "\n", + "\n", + "The cell above creates an animation file that is stored within this repository. \n", + "The cell below plays it back (for example in **binder**) to show multiple profile animations.\n", + "Nitrate is intermittent, appearing as a sky-blue line in 2 of every 9\n", + "frames. The remaining sensors are present in each frame.\n", + "\n", + "\n", + "There animation begins March 1 2021 and proceeds at a rate of nine frames (profiles) per day.\n", + "Change playback speed using the video settings control at lower right." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "raised-romantic", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "c140be9c-5de3-4f74-bd73-096763176bbb", + "metadata": {}, + "source": [] + }, + { + "cell_type": "markdown", + "id": "neural-series", + "metadata": {}, + "source": [ + "#### [Top](#Introduction) and [Table of Contents](#Table-of-Contents)\n", + "\n", + "\n", + "\n", + "## Pandas Series and DataFrames\n", + "\n", + "[Top](#Introduction)\n", + "\n", + "### Summary\n", + "\n", + "### DataFrames\n", + "\n", + "DataFrames:\n", + "\n", + "* constructor takes `data=` and both `index` and `columns` arguments... \n", + " * ...2 dimensions only: higher dimensions and they say 'use XArray'\n", + " * ...and switching required a `.T` transpose\n", + "* indexing by column and row header values, separated as in `[column_header][row_header]`\n", + " * as this reverses order from ndarrays: Better confirm... seems to be the case\n", + " * skip index/columns: defaults to integers.\n", + " \n", + "Below this section we go into n-dimensional arrays in Numpy, the *ndarray*. Here we take this \n", + "for granted and look at the relationship with DataFrames." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "70d19076-e075-4d46-b0a0-d0715ffb18e8", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ndarray from a list of lists (notice no comma delimiter):\n", + "\n", + " [['l' 'i' 's' 't' '1']\n", + " ['s' 'c' 'n' 'd' '2']\n", + " ['t' 'h' 'r' 'd' '3']] \n", + "\n", + "and indexing comparison: first [0][2] then [2][0]: s t\n", + "\n", + "and tuplesque indexing [0, 2] or [2, 0] equivalently gives: s t\n", + "\n", + "So ndarrays index [slow][fast] equivalent to [row][column]\n", + "\n", + "\n", + "\n", + "Now let's create a 2D ndarray of zeros that is 3 rows by 5 columns\n", + "used np.zeros((3,5)) to set up 3 rows / 5 columns of zeros\n", + "set [0,1] to 3 and [1][0] to 4:\n", + "\n", + "[[0. 3. 0. 0. 0.]\n", + " [4. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0.]]\n", + "\n", + "\n", + "So that first index is row, second index is column\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ] + } + ], + "source": [ + "###################\n", + "#\n", + "# A micro study of ndarray to DataFrame translation\n", + "#\n", + "###################\n", + "\n", + "import numpy as np\n", + "import pandas as pd\n", + "\n", + "# Here is an ndarray construction from a built list of lists (not used in what follows): \n", + "# arr = np.array([range(i, i+5) for i in [2, 4, 6]]) \n", + "# ... where the range() runs across columns; 2 4 6 are rows\n", + "\n", + "# ndarray construction: Notice all list elements are of the same type (strings)\n", + "arr = np.array([['l','i','s','t','1'],['s','c','n','d','2'],['t','h','r','d', '3']])\n", + "\n", + "print('\\nndarray from a list of lists (notice no comma delimiter):\\n\\n', arr, \\\n", + " '\\n\\nand indexing comparison: first [0][2] then [2][0]:', arr[0][2], arr[2][0]) \n", + "print('\\nand tuplesque indexing [0, 2] or [2, 0] equivalently gives:', arr[0,2], arr[2,0])\n", + "print('\\nSo ndarrays index [slow][fast] equivalent to [row][column]\\n\\n\\n')\n", + "\n", + "print(\"Now let's create a 2D ndarray of zeros that is 3 rows by 5 columns\")\n", + "\n", + "z = np.zeros((3,5))\n", + "\n", + "print(\"used np.zeros((3,5)) to set up 3 rows / 5 columns of zeros\")\n", + "print(\"set [0,1] to 3 and [1][0] to 4:\\n\")\n", + "z[0,1]=3\n", + "z[1][0]=4\n", + "print(z)\n", + "print('\\n\\nSo that first index is row, second index is column')\n", + "print('\\n\\n\\n\\n')" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "9f7268d6-98de-4611-b140-8a545aaf9e9a", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ndarray from a list of lists (notice no comma delimiter):\n", + "\n", + " [['l' 'i' 's' 't' '1']\n", + " ['s' 'c' 'n' 'd' '2']\n", + " ['t' 'h' 'r' 'd' '3']] \n", + "\n", + "and indexing comparison: first [0][2] then [2][0]: s t\n", + "\n", + "and tuplesque indexing [0, 2] or [2, 0] equivalently gives: s t\n", + "\n", + "So ndarrays index [slow][fast] equivalent to [row][column]\n", + "\n", + "\n", + "Moving on to DataFrames:\n", + "\n", + "\n", + " col_a col_b col_c col_d col_e\n", + "2row l i s t 1\n", + "4row s c n d 2\n", + "6row t h r d 3 \n", + "\n", + "is a DataFrame from the ndarray; so now index [\"col_c\"][\"6row\"]: r\n", + "\n", + "Here is a Dataframe from a transpose of the ndarray\n", + "\n", + " 2row 4row 6row\n", + "col_a l s t\n", + "col_b i c h\n", + "col_c s n r\n", + "col_d t d d\n", + "col_e 1 2 3 \n", + "\n", + "indexing 2row then col_e: 1\n", + "\n", + "So the column of a DataFrame is indexed first, then the row: Reverses the sense of the 2D ndarray.\n", + "\n", + "Now skipping the \"index=\"\" argument so the row labels default to integers:\n", + "\n", + " col_a col_b col_c col_d col_e\n", + "0 l i s t 1\n", + "1 s c n d 2\n", + "2 t h r d 3 \n", + "\n", + "...so now indexing [\"col_d\"][0]: t \n", + "\n", + " 0 1 2 3 4\n", + "2row l i s t 1\n", + "4row s c n d 2\n", + "6row t h r d 3 \n", + "\n", + "having done it the other way: used index= but not columns=. Here is element [0][\"4row\"]: s\n", + "\n", + "\n", + "Starting from an XArray Dataset and using .to_dataframe() we arrive at a 2D structure.\n", + "\n", + "For example: df = ds_CTD.seawater_pressure.to_dataframe()\n", + " \n", + "The problem is that the resulting dataframe may not be indexed (row sense) using integers. A fix\n", + "is necessary to override the index and columns attributes of the dataframe, as in:\n", + " \n", + " df.index=range(len(df))\n", + " df.columns=range(1)\n", + " \n", + "results in a dataframe that one can index with integers [0] for column first then [n] for row.\n", + "This example came from the profile time series analysis to get ascent start times and so on.\n", + "The problem is it is a case of too much machinery. It is far simpler to use a pandas Series.\n" + ] + } + ], + "source": [ + "print('Moving on to DataFrames:\\n\\n')\n", + "\n", + "rowlist=[\"2row\", \"4row\", \"6row\"]\n", + "columnlist = [\"col_a\", \"col_b\", \"col_c\", \"col_d\", \"col_e\"]\n", + "df = pd.DataFrame(data=arr, index=rowlist, columns=columnlist)\n", + "\n", + "print(df, '\\n\\nis a DataFrame from the ndarray; so now index [\"col_c\"][\"6row\"]:', df['col_c']['6row'])\n", + "\n", + "df = pd.DataFrame(data=arr.T, index=columnlist, columns=rowlist)\n", + "\n", + "print('\\nHere is a Dataframe from a transpose of the ndarray\\n\\n', df, \\\n", + " '\\n\\nindexing 2row then col_e:', df['2row']['col_e'])\n", + "print('\\nSo the column of a DataFrame is indexed first, then the row: Reverses the sense of the 2D ndarray.\\n')\n", + "print('Now skipping the \"index=\"\" argument so the row labels default to integers:\\n')\n", + "\n", + "df = pd.DataFrame(data=arr, columns=columnlist)\n", + "\n", + "print(df, '\\n\\n...so now indexing [\"col_d\"][0]:', df['col_d'][0], '\\n')\n", + "\n", + "df = pd.DataFrame(data=arr, index=rowlist)\n", + "\n", + "print(df, '\\n\\nhaving done it the other way: used index= but not columns=. Here is element [0][\"4row\"]:', \\\n", + " df[0]['4row'])\n", + "\n", + "\n", + "print('\\n\\nStarting from an XArray Dataset and using .to_dataframe() we arrive at a 2D structure.\\n')\n", + "print('For example: df = ds_CTD.seawater_pressure.to_dataframe()')\n", + "print(' ')\n", + "print('The problem is that the resulting dataframe may not be indexed (row sense) using integers. A fix')\n", + "print('is necessary to override the index and columns attributes of the dataframe, as in:')\n", + "print(' ')\n", + "print(' df.index=range(len(df))')\n", + "print(' df.columns=range(1)')\n", + "print(' ')\n", + "print('results in a dataframe that one can index with integers [0] for column first then [n] for row.')\n", + "print('This example came from the profile time series analysis to get ascent start times and so on.')\n", + "print('The problem is it is a case of too much machinery. It is far simpler to use a pandas Series.')" + ] + }, + { + "cell_type": "markdown", + "id": "99d6a6de", + "metadata": {}, + "source": [ + "#### [Top](#Introduction) and [Table of Contents](#Table-of-Contents)\n", + "\n", + "\n", + "### Selecting based on a range\n", + "\n", + "\n", + "Suppose we have a DataFrame with a column of timestamps over a broad time range and we would like to focus on only a subset. \n", + "One approach would be to generate a smaller dataframe that meets the small time criterion and iterate over that.\n", + "\n", + "The following cell builds a pandas DataFrame with a date column; then creates a subset DataFrame where only rows in\n", + "a time range are preserved. This is done twice: First using conditional logic and then using the same with '.loc'. \n", + "('loc' and 'iloc' are location-based indexing, the first relying on labels and the second on integer position.)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "a58cc95e", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[numpy.datetime64('2020-10-11') 7 13 6]\n", + " [numpy.datetime64('2020-10-12') 7 9 6]\n", + " [numpy.datetime64('2020-10-13') 7 8 6]\n", + " [numpy.datetime64('2020-10-14') 7 5 6]\n", + " [numpy.datetime64('2020-10-15') 7 11 6]]\n", + "\n", + "arr[0][2] then [2][0]: 13 2020-10-13\n", + "\n", + "and tuplesque indexing [0, 2] or [2, 0] equivalently gives: 13 2020-10-13\n", + "\n", + "using conditionals:\n", + "\n", + " date data1 data2 data3\n", + "day3 2020-10-13 7 8 6\n", + "day4 2020-10-14 7 5 6 \n", + "\n", + "\n", + "using loc:\n", + "\n", + " date data1 data2 data3\n", + "day3 2020-10-13 7 8 6\n", + "day4 2020-10-14 7 5 6\n", + "\n", + "notice the results are identical; so it is an open question \"Why use `loc`?\"\n" + ] + } + ], + "source": [ + "from numpy import datetime64 as dt64, timedelta64 as td64\n", + "\n", + "t0=dt64('2020-10-11')\n", + "t1=dt64('2020-10-12')\n", + "t2=dt64('2020-10-13')\n", + "t3=dt64('2020-10-14')\n", + "t4=dt64('2020-10-15')\n", + "\n", + "r0 = dt64('2020-10-12')\n", + "r1 = dt64('2020-10-15')\n", + "\n", + "arr = np.array([[t0,7,13,6],[t1,7,9,6],[t2,7,8,6],[t3,7,5,6],[t4,7,11,6]])\n", + "\n", + "print(arr)\n", + "print('\\narr[0][2] then [2][0]:', arr[0][2], arr[2][0]) \n", + "print('\\nand tuplesque indexing [0, 2] or [2, 0] equivalently gives:', arr[0,2], arr[2,0])\n", + "\n", + "rowlist = [\"day1\", \"day2\",\"day3\",\"day4\",\"day5\"]\n", + "columnlist = [\"date\", \"data1\", \"data2\", \"data3\"]\n", + "df = pd.DataFrame(data=arr, index=rowlist, columns=columnlist)\n", + "\n", + "\n", + "df_conditional = df[(df['date'] > r0) & (df['date'] < r1)]\n", + "print('\\nusing conditionals:\\n\\n', df_conditional, '\\n')\n", + "\n", + "\n", + "df_loc = df.loc[(df['date'] > r0) & (df['date'] < r1)]\n", + "print('\\nusing loc:\\n\\n', df_loc)\n", + "\n", + "print('\\nnotice the results are identical; so it is an open question \"Why use `loc`?\"')" + ] + }, + { + "cell_type": "markdown", + "id": "celtic-following", + "metadata": {}, + "source": [ + "#### [Top](#Introduction) and [Table of Contents](#Table-of-Contents)\n", + "\n", + "\n", + "## Numpy ndarrays\n", + "\n", + "\n", + "* do not have row and column headers; whereas pandas DataFrames do have typed headers\n", + "* indexing has an equivalence of `[2][0]` to `[2,0]` \n", + " * The latter (with comma) is the presented way in PDSH\n", + " * This duality does not work for DataFrames\n", + "* has row-then-column index order...\n", + " * ....with three rows in `[['l','i','s','t','1'],['s','c','n','d','2'],['t','h','r','d','3']]` \n", + "* has slice by dimension as `start:stop:step` by default `0, len (this dimension), 1` \n", + " * ...exception: when `step` is negative `start` and `stop` are reversed\n", + " * ...multi-dimensional slices separated by commas\n", + " \n" + ] + }, + { + "cell_type": "markdown", + "id": "statistical-trade", + "metadata": {}, + "source": [ + "#### [Top](#Introduction) and [Table of Contents](#Table-of-Contents)\n", + "\n", + "\n", + "\n", + "## Time\n", + "\n", + "[Top](#Introduction)\n", + "\n", + "\n", + "### Summary\n", + "\n", + "There is time in association with data (when a sample was recorded) and time in association with\n", + "code development (how long did this cell take to run?) Let's look at both.\n", + "\n", + "\n", + "### Sample timing\n", + "\n", + "See PDSH-189. There are two time mechanisms in play: Python's built-in `datetime` and an improvement called\n", + "`datetime64` from **numpy** that enables *arrays* of dates, i.e. time series. \n", + "\n", + "\n", + "Consider these two ways of stipulating time slice arguments for `.sel()` applied to a DataSet.\n", + "First: Use a datetime64 with precision to minutes (or finer).\n", + "Second: Pass strings that are interpreted as days, inclusive. In pseudo-code: \n", + "\n", + "```\n", + "if do_precision: \n", + " t0 = dt64('2019-06-01T00:00')\n", + " t1 = dt64('2019-06-01T05:20')\n", + " dss = ds.sel(time=slice(t0, t1)) \n", + "else:\n", + " day1 = '24'\n", + " day2 = '27' # will be 'day 27 inclusive' giving four days of results\n", + " dss = ds.sel(time=slice('2019-06-' + day1, '2019-08-' + day2))\n", + "\n", + "len(dss.time)\n", + "```\n", + "\n", + "### Execution timing\n", + "\n", + "Time of execution in seconds: \n", + "\n", + "```\n", + "from time import time\n", + "\n", + "toc = time()\n", + "for i in range(12): j = i + 1\n", + "tic = time()\n", + "print(tic - toc)\n", + "\n", + "7.82012939453125e-05\n", + "```\n" + ] + }, + { + "cell_type": "markdown", + "id": "native-sellers", + "metadata": {}, + "source": [ + "#### [Introduction](#Introduction), [Contents](#Contents)\n", + "\n", + "\n", + "## ipywidgets\n", + "\n", + "\n", + "### Summary" + ] + }, + { + "cell_type": "markdown", + "id": "sticky-toolbox", + "metadata": {}, + "source": [ + "#### [Introduction](#Introduction) and [Contents](#Contents)\n", + "\n", + "\n", + "\n", + "## Holoview\n" + ] + }, + { + "cell_type": "markdown", + "id": "turkish-wesley", + "metadata": {}, + "source": [ + "## Instruments\n", + "\n", + "\n", + "### Specifically spectrophotometer (SP) and Nitrate\n", + "\n", + "\n", + "### Summary\n", + "\n", + "\n", + "The SP runs on ascent only, at about 3.7 samples per second. Compare nitrate that also runs \n", + "on ascent only at about 3 samples per minute. Nitrate data is fairly straightforward; SP \n", + "data is chaotic/messy. The objective is to reduce the SP to something interpretable.\n", + "\n", + "\n", + "### Deconstructing data: process pattern\n", + "\n", + "\n", + "- `ds = xr.open_dataset(fnm)` \n", + " - Data dispersed across files: Variant + wildcard: `ds = xr.open_mfdataset('data_with_*_.nc')`\n", + "- `obs` dimensional coordinate creates degeneracy over multiple files\n", + " - Use `.swap_dims` to swap time for `obs`\n", + "- `ds.time[0].values, ds.time[-1].values` gives a timespan but nothing about duty cycles\n", + " - 2019 spectrophotometer data at Oregon Slope Base: 86 channels, 7 million samples\n", + " - ...leading to...\n", + " - Only operates during midnight and noon ascent; at 3.7 samples per second\n", + " - Optical absorbance and beam attenuation are the two data types\n", + " - Data has frequent dropouts over calendar time\n", + " - Data has spikes that tend to register across all 86 channels\n", + " - Very poor documentation; even the SME report is cursory\n", + "\n", + "\n", + " \n", + "### Nitrate \n", + "\n", + " \n", + "This code follows suit the spectrophotometer. It is simpler because there is only a nitrate value \n", + "and no wavelength channel. \n", + "\n", + " \n", + "I kept the pressure bins the same even though the nitrate averates about 3 three samples or less per minute\n", + "during a 70 minute ascent. That's about three meters per minute so one sample per meter. Since the \n", + "spectrophotometer bin depth is 0.25 meters there are necessarily a lot of empty bins (bins with no data)\n", + "for the nitrate profile. \n", + "\n", + " \n", + "### Two open issues\n", + "\n", + "\n", + "A curious artifact of the situation is from a past bias: I had understood that the SCIP makes pauses \n", + "on descent to accommodate the nitrate sensor. I may be in error but now it looks like this sensor, \n", + "the nitrate sensor, is observing on ascent which is continuous. This leaves open the question of \n", + "why the pauses occur on the descent. If I have that right. \n", + "\n", + "\n", + "Finally there are two nitrate signals: 'samp' and 'dark'. This code addresses only 'samp' as 'dark'\n", + "is showing nothing of interest. So this is an open issue." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "super-pocket", + "metadata": {}, + "outputs": [], + "source": [ + "# Animation in Python is one thing. Animation in a Jupyter notebook is another.\n", + "# Animation in binder is yet another. Rather than try and bootstrap a lesson here\n", + "# I present a sequence of annotated steps that create an animation, save it as \n", + "# an .mp4 file, load it and run it: In a Jupyter notebook of course. Then we\n", + "# will see how it does in binder.\n", + "\n", + "# At some point in working on this I did a conda install ffmpeg. I am not clear \n", + "# right now on whether this was necessary or not; I suspect not.\n", + "\n", + "%matplotlib inline\n", + "\n", + "# With [the inline] backend activated with this line magic matplotlib command, the output \n", + "# of plotting commands is displayed inline within frontends like the Jupyter notebook, \n", + "# directly below the code cell that produced it. The resulting plots will then also be stored \n", + "# in the notebook document.\n", + "\n", + "# de rigeur, commented out here as this runs at the top of the notebook\n", + "# import numpy as np\n", + "# import matplotlib.pyplot as plt\n", + "\n", + "from matplotlib import animation, rc # animation provides tools to build chart-based animations.\n", + " # Each time Matplotlib loads, it defines a runtime configuration (rc) \n", + " # containing the default styles for every plot element you create. \n", + " # This configuration can be adjusted at any time using \n", + " # the plt. ... matplotlibrc file, which you can read about \n", + " # in the Matplotlib documentation.\n", + "\n", + "\n", + "from IPython.display import HTML, Video # HTML is ...?...\n", + " # Video is used for load/playback\n", + "\n", + "# First set up the figure, the axis, and the plot element we want to animate\n", + "fig, ax = plt.subplots()\n", + "\n", + "ax.set_xlim(( 0, 2))\n", + "ax.set_ylim((-2, 2))\n", + "\n", + "line, = ax.plot([], [], lw=2)\n", + "\n", + "# initialization function: plot the background of each frame\n", + "def init():\n", + " line.set_data([], [])\n", + " return (line,)\n", + "\n", + "# animation function. This is called sequentially\n", + "def animate(i):\n", + " x = np.linspace(0, 2, 1000)\n", + " y = np.sin(2 * np.pi * (x - 0.01 * i))\n", + " line.set_data(x, y)\n", + " return (line,)\n", + "\n", + "# call the animator. blit=True means only re-draw the parts that have changed.\n", + "anim = animation.FuncAnimation(fig, animate, init_func=init,\n", + " frames=100, interval=12, blit=True)\n", + "\n", + "HTML(anim.to_html5_video())\n", + "\n", + "# print(anim._repr_html_() is None) will be True\n", + "# anim" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "plain-functionality", + "metadata": {}, + "outputs": [], + "source": [ + "def update_line(num, data, line):\n", + " line.set_data(data[..., :num])\n", + " return line,\n", + "\n", + "fig1 = plt.figure()\n", + "\n", + "data = .05 + 0.9*np.random.rand(2, 200)\n", + "l, = plt.plot([], [], 'r-') # l, takes the 1-tuple returned by plt.plot() and grabs that first \n", + " # and only element; so it de-tuples it\n", + "\n", + "plt.xlim(0, 1); plt.ylim(0, 1); plt.xlabel('x'); plt.title('test')\n", + "\n", + "lines_anim = animation.FuncAnimation(fig1, update_line, 200, fargs=(data, l), interval=1, blit=True)\n", + "\n", + "# fargs are additional arguments to 'update_line()' in addition to the frame number: data and line\n", + "# interval is a time gap between frames (guess is milliseconds)\n", + "# blit is the idea of modifying only pixels that change from one frame to the next\n", + "\n", + "# For direct display use this: HTML(line_ani.to_html5_video())\n", + "lines_anim.save('./lines_tmp3.mp4') # save the animation to a file\n", + "Video(\"./lines_tmp3.mp4\") # One can add , embed=True" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "specific-plumbing", + "metadata": {}, + "outputs": [], + "source": [ + "fig2 = plt.figure()\n", + "\n", + "x = np.arange(-9, 10)\n", + "y = np.arange(-9, 10).reshape(-1, 1)\n", + "base = np.hypot(x, y)\n", + "ims = []\n", + "for add in np.arange(15):\n", + " ims.append((plt.pcolor(x, y, base + add, norm=plt.Normalize(0, 30)),))\n", + "\n", + "im_ani = animation.ArtistAnimation(fig2, ims, interval=50, repeat_delay=3000,\n", + " blit=True)\n", + "# To save this second animation with some metadata, use the following command:\n", + "# im_ani.save('im.mp4', metadata={'artist':'Guido'})\n", + "\n", + "HTML(im_ani.to_html5_video())" + ] + }, + { + "cell_type": "markdown", + "id": "responsible-client", + "metadata": {}, + "source": [ + "## Binder\n", + "\n", + "[Top](#Introduction)\n", + "\n", + "* Create a binder badge in the home page `README.md` of the repository. \n", + "\n", + "```\n", + "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh///HEAD)\n", + "\n", + "```\n", + "\n", + "* In `/binder` create `environment.yml` to match the working environment\n", + " * For this repo as of 10/23/2021 `binder/environment.yml` was: \n", + "\n", + "\n", + "```\n", + "channels:\n", + " - conda-forge\n", + "dependencies:\n", + " - python=3\n", + " - numpy\n", + " - pandas\n", + " - matplotlib\n", + " - netcdf4\n", + " - xarray\n", + " - ffmpeg\n", + "```\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "89a502fd", + "metadata": {}, + "source": [ + "## Part 2 Sensors and Instruments\n", + "\n", + "\n", + "#### Code Archive\n", + "\n", + "\n", + "## [Contents](#Contents)\n", + "\n", + "\n", + "* [Nitrate](#Nitrate)\n", + "* [Mooring](#Mooring)\n", + "* [Spectral Irradiance](#Spectral-Irradiance)\n", + "* [Shallow Profiler](#Shallow-Profiler)\n", + "* [Coding Environment](#Coding-Environment)\n", + "* [OOI Data](#OOI-Data)\n", + "* [NetCDF](#NetCDF)\n", + "* [Depth And Time](#Depth-And-Time)\n", + "* [Data Features](#Data-Features)\n", + "* [wget](#wget)\n", + "* [Non OOI Data](#Non-OOI-Data)\n", + "* [Data Product Levels](#Data-Product-Levels)\n", + "* [OOI Terminology](#OOI-Terminology)\n", + "* [Diagnostics](#Diagnostics)\n", + "\n", + "\n", + "## Nitrate\n", + "\n", + "\n", + "```\n", + "ds_n03dark = xr.open_dataset(\"/data/rca/simpler/osb_sp_nutnr_a_dark_2019.nc\")\n", + "ds_n03samp = xr.open_dataset(\"/data/rca/simpler/osb_sp_nutnr_a_sample_2019.nc\")\n", + "\n", + "warnings.filterwarnings('ignore')\n", + "\n", + "include_charts = False\n", + "\n", + "m_strs = ['01', '02', '03', '04', '05', '06', '07', '08', '09'] # relevant 2019 months\n", + "m_days = [31, 28, 31, 30, 31, 30, 31, 31, 30] # days per month in 2019\n", + "\n", + "month_index = 0 # manage time via months and days; 0 is January\n", + "month_str = m_strs[month_index] \n", + "year_str = '2019'\n", + "\n", + "n_meters = 200\n", + "n_bins_per_meter = 4\n", + "halfbin = (1/2) * (1/n_bins_per_meter)\n", + "n_pressure_bins = n_meters * n_bins_per_meter\n", + "p_bounds = np.linspace(0., n_meters, n_pressure_bins + 1) # 801 bounds: 0., .25, ..., 200. \n", + "pressure = np.linspace(halfbin, n_meters - halfbin, n_pressure_bins) # 800 centers: 0.125, ..., 199.875 \n", + "nc_upper_bound = 40.\n", + "\n", + "ndays = m_days[month_index]\n", + "ndayplots, dayplotdays = 10, list(range(10))\n", + "\n", + "l_da_nc_midn, l_da_nc_noon = [], [] # these lists accumulate DataArrays by day\n", + "\n", + "if include_charts:\n", + " fig_height, fig_width, fig_n_across, fig_n_down = 4, 4, 2, ndayplots\n", + " fig, axs = plt.subplots(ndayplots, fig_n_across, figsize=(fig_width * fig_n_across, fig_height * fig_n_down), tight_layout=True)\n", + "\n", + "for day_index in range(ndays):\n", + " \n", + " day_str = day_of_month_to_string(day_index + 1); date_str = year_str + '-' + month_str + '-' + day_str\n", + " this_doy = doy(dt64(date_str))\n", + " clear_output(wait = True); print(\"on day\", day_str, 'i.e. doy', this_doy)\n", + " midn_start = date_str + 'T07:00:00'\n", + " midn_done = date_str + 'T10:00:00'\n", + " noon_start = date_str + 'T20:00:00'\n", + " noon_done = date_str + 'T23:00:00'\n", + "\n", + " # pull out OA and BA for both midnight and noon ascents; and swap in pressure for time\n", + " ds_midn = ds_n03samp.sel(time=slice(dt64(midn_start), dt64(midn_done))).swap_dims({'time':'int_ctd_pressure'})\n", + " ds_noon = ds_n03samp.sel(time=slice(dt64(noon_start), dt64(noon_done))).swap_dims({'time':'int_ctd_pressure'})\n", + " \n", + " # print('pressures:', ds_midn.int_ctd_pressure.size, ds_noon.int_ctd_pressure.size, '; times:', ds_midn.time.size, ds_noon.time.size) \n", + " midn = True if ds_midn.time.size > 0 else False\n", + " noon = True if ds_noon.time.size > 0 else False\n", + " \n", + " if midn:\n", + " da_nc_midn = ds_midn.nitrate_concentration.expand_dims({'doy':[this_doy]})\n", + " del da_nc_midn['time']\n", + " l_da_nc_midn.append(da_nc_midn.sortby('int_ctd_pressure').groupby_bins(\"int_ctd_pressure\", p_bounds, labels=pressure).mean().transpose('int_ctd_pressure_bins', 'doy'))\n", + " \n", + " if noon:\n", + " da_nc_noon = ds_noon.nitrate_concentration.expand_dims({'doy':[this_doy]})\n", + " del da_nc_noon['time']\n", + " l_da_nc_noon.append(da_nc_noon.sortby('int_ctd_pressure').groupby_bins(\"int_ctd_pressure\", p_bounds, labels=pressure).mean().transpose('int_ctd_pressure_bins', 'doy'))\n", + "\n", + " if include_charts and day_index in dayplotdays: # if this is a plotting day: Add to the chart repertoire\n", + "\n", + " dayplotindex = dayplotdays.index(day_index) \n", + "\n", + " if midn:\n", + " axs[dayplotindex][0].scatter(l_da_nc_midn[-1], pressure, marker=',', s=2., color='r') \n", + " axs[dayplotindex][0].set(xlim = (.0, nc_upper_bound), ylim = (200., 0.), title='NC midnight')\n", + " axs[dayplotindex][0].scatter(ds_midn.nitrate_concentration, ds_midn.int_ctd_pressure, marker=',', s=1., color='b'); \n", + " \n", + " if noon:\n", + " axs[dayplotindex][1].scatter(l_da_nc_noon[-1], pressure, marker=',', s=2., color='g')\n", + " axs[dayplotindex][1].set(xlim = (.0, nc_upper_bound), ylim = (200., 0.), title='NC noon')\n", + " axs[dayplotindex][1].scatter(ds_noon.nitrate_concentration, ds_noon.int_ctd_pressure, marker=',', s=1., color='k'); \n", + "\n", + "save_figure = False\n", + "if save_figure: fig.savefig('/home/ubuntu/chlorophyll/images/misc/nitrate_2019_JAN_1_to_10.png')\n", + "\n", + "save_nitrate_profiles = False\n", + "\n", + "if save_nitrate_profiles: \n", + " ds_nc_midn = xr.concat(l_da_nc_midn, dim=\"doy\").to_dataset(name='nitrate_concentration')\n", + " ds_nc_noon = xr.concat(l_da_nc_noon, dim=\"doy\").to_dataset(name='nitrate_concentration')\n", + "\n", + " ds_nc_midn.to_netcdf(\"/data1/nutnr/nc_midn_2019_01.nc\")\n", + " ds_nc_noon.to_netcdf(\"/data1/nutnr/nc_noon_2019_01.nc\")\n", + "```\n", + "\n", + "#### [Table of Contents](#Table-of-Contents)\n", + "\n", + "\n", + "## Mooring\n", + "\n", + "```\n", + "\"\"\"\n", + "Stand-alone code to plot a user-specified mooring extraction.\n", + "\"\"\"\n", + "from pathlib import Path\n", + "moor_fn = Path('/Users/pm8/Documents/LO_output/extract/cas6_v3_lo8b/'\n", + " +'moor/ooi/CE02_2018.01.01_2018.12.31.nc')\n", + "\n", + "import xarray as xr\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "# load everything using xarray\n", + "ds = xr.load_dataset(moor_fn)\n", + "ot = ds.ocean_time.values\n", + "ot_dt = pd.to_datetime(ot)\n", + "t = (ot_dt - ot_dt[0]).total_seconds().to_numpy()\n", + "T = t/86400 # time in days from start\n", + "print('time step of mooring'.center(60,'-'))\n", + "print(t[1])\n", + "print('time limits'.center(60,'-'))\n", + "print('start ' + str(ot_dt[0]))\n", + "print('end ' + str(ot_dt[-1]))\n", + "print('info'.center(60,'-'))\n", + "VN_list = []\n", + "for vn in ds.data_vars:\n", + " print('%s %s' % (vn, ds[vn].shape))\n", + " VN_list.append(vn)\n", + " \n", + "# populate lists of variables to plot\n", + "vn2_list = ['zeta']\n", + "if 'shflux' in VN_list:\n", + " vn2_list += ['shflux', 'swrad']\n", + "vn3_list = []\n", + "if 'salt' in VN_list:\n", + " vn3_list += ['salt', 'temp']\n", + "if 'oxygen' in VN_list:\n", + " vn3_list += ['oxygen']\n", + "\n", + "# plot time series using a pandas DataFrame\n", + "df = pd.DataFrame(index=ot)\n", + "for vn in vn2_list:\n", + " df[vn] = ds[vn].values\n", + "for vn in vn3_list:\n", + " # the -1 means surface values\n", + " df[vn] = ds[vn][:, -1].values\n", + "\n", + "plt.close('all')\n", + "df.plot(subplots=True, figsize=(16,10))\n", + "plt.show()\n", + "```\n", + "\n", + "#### [Table of Contents](#Table-of-Contents)\n", + "\n", + "\n", + "## Spectral Irradiance\n", + "\n", + "### Introduction\n", + "\n", + " \n", + "This notebook should run in **`binder`**. It uses small datasets stored within this repo.\n", + "\n", + "The notebook charts\n", + "CTD data, dissolved oxygen, nitrate, PAR, spectral irradiance, fluorescence and pH in relation\n", + "to pressure/depth. The focus is\n", + "shallow (photic zone) profilers from the Regional Cabled Array component of OOI.\n", + "Specifically the Oregon Slope Base site in 2019. Oregon Slope Base is an instrumentation\n", + "site off the continental shelf west of the state of Oregon.\n", + "\n", + "\n", + "\n", + "### Photic Zone CTD and other low data rate sensors\n", + "\n", + "\n", + "The 'photic zone' is the upper layer of the ocean regularly illuminated by sunlight. This set of photic zone \n", + "notebooks concerns sensor data from the surface to about 200 meters depth. Data are acquired from two to nine\n", + "times per day by shallow profilers. This notebook covers CTD (salinity \n", + "and temperature), dissolved oxygen, nitrate, pH, spectral irradiance, fluorometry and photosynthetically \n", + "available radiation (PAR). \n", + "\n", + "\n", + "Data are first taken from the Regional Cabled Array shallow profilers and platforms. A word of explanation here: The\n", + "profilers rise and then fall over the course of about 80 minutes, nine times per day, from a depth of 200 meters\n", + "to within about 10 meters of the surface. As the ascend and descend they record data. The resting location in\n", + "between these excursions is a platform 200 meters below the surface that is anchored to the see floor. The platform\n", + "also carries sensors that measure basic ocean water properties.\n", + "\n", + "\n", + "Research ship Revelle in the southern ocean: 100 meters in length. \n", + "Note: Ninety percent of this iceberg is beneath the surface. \n", + "\n", + "\n", + "More on the Regional Cabled Array oceanography program [here](https://interactiveoceans.washington.edu).\n", + " \n", + " \n", + "### Study site locations\n", + " \n", + "\n", + "We begin with three sites in the northeast Pacific: \n", + " \n", + "\n", + "```\n", + "Site name Lat Lon\n", + "------------------ --- ---\n", + "Oregon Offshore 44.37415 -124.95648\n", + "Oregon Slope Base 44.52897 -125.38966 \n", + "Axial Base 45.83049 -129.75326\n", + "``` \n", + "\n", + "\n", + "* The data variable is `spkir_downwelling_vector` x 7 wavelengths per below\n", + "* 9 months continuous operation at about 4 samples per second gives 91 million samples\n", + "* DataSet includes `int_ctd_pressure` and `time` Coordinates; Dimensions are `spectra` (0--6) and `time`\n", + "* Oregon Slope Base `node : SF01A`, `id : RS01SBPS-SF01A-3D-SPKIRA101-streamed-spkir_data_record`\n", + "* Correct would be to plot these as a sequence of rainbow plots with depth, etc\n", + "\n", + "See [Interactive Oceans](https://interactiveoceans.washington.edu/instruments/spectral-irradiance-sensor/): \n", + "\n", + "\n", + "> The Spectral Irradiance sensor (Satlantic OCR-507 multispectral radiometer) measures the amount of \n", + "> downwelling radiation (light energy) per unit area that reaches a surface. Radiation is measured \n", + "> and reported separately for a series of seven wavelength bands (412, 443, 490, 510, 555, 620, \n", + "> and 683 nm), each between 10-20 nm wide. These measurements depend on the natural illumination \n", + "> conditions of sunlight and measure apparent optical properties. These measurements also are used \n", + "> as proxy measurements of important biogeochemical variables in the ocean.\n", + ">\n", + "> Spectral Irradiance sensors are installed on the Science Pods on the Shallow Profiler Moorings \n", + "> at Axial Base (SF01A), Slope Base (SF01A), and at the Endurance Array Offshore (SF01B) sites. \n", + "> Instruments on the Cabled Array are provided by Satlantic – OCR-507. \n", + "\n", + "\n", + "```\n", + "spectral_irradiance_source = './data/rca/irradiance/'\n", + "ds_irradiance = [xr.open_dataset(spectral_irradiance_source + 'osb_sp_irr_spec' + str(i) + '.nc') for i in range(7)]\n", + "\n", + "# Early attempt at using log crashed the kernel\n", + "\n", + "day_of_month_start = '25'\n", + "day_of_month_end = '27'\n", + "time0 = dt64('2019-01-' + day_of_month_start)\n", + "time1 = dt64('2019-01-' + day_of_month_end)\n", + "\n", + "spectral_irradiance_upper_bound = 10.\n", + "spectral_irradiance_lower_bound = 0.\n", + "ds_irr_time_slice = [ds_irradiance[i].sel(time = slice(time0, time1)) for i in range(7)]\n", + "\n", + "fig, axs = plt.subplots(figsize=(12,8), tight_layout=True)\n", + "colorwheel = ['k', 'r', 'y', 'g', 'c', 'b', 'm']\n", + "for i in range(7):\n", + " axs.plot(ds_irr_time_slice[i].spkir_downwelling_vector, \\\n", + " ds_irr_time_slice[i].int_ctd_pressure, marker='.', markersize = 4., color=colorwheel[i])\n", + " \n", + "axs.set(xlim = (spectral_irradiance_lower_bound, spectral_irradiance_upper_bound), \\\n", + " ylim = (60., 0.), title='multiple profiles: spectral irradiance')\n", + "\n", + "\n", + "plt.show()\n", + "```\n", + "\n", + "\n", + "\n", + "## Shallow Profiler\n", + "\n", + "\n", + "### Working with shallow profiler ascent/descent/rest cycles\n", + "\n", + "\n", + "This topic is out of sequence intentionally. The topics that follow are in more of a logical order.\n", + "\n", + "\n", + "\n", + "\n", + "The issue at hand is that the shallow profiler ascends and descends and rests about nine times per\n", + "day; but the time of day when these events happen is not perfectly fixed. As a result we need \n", + "a means to identify the start and end times of (say) an ascent so that we can be confident that\n", + "the data were in fact acquired as the profiler ascended through the water column. This is also \n", + "useful for comparing ascent to descent data or comparing profiler-at-rest data to platform data\n", + "(since the profiler is at rest *on* the platform).\n", + "\n", + "\n", + "\n", + "To restate the task: From a conceptual { time window } we would like very specific { metadata }\n", + "for time windows when the profiler ascended while collecting data. \n", + "That is, we want accurate subsidiary time windows for successive profiles within our conceptual\n", + "time window; per site and year.\n", + "We can then use these specific { time window } boundaries to select data\n", + "subsets from corresponding profiling runs. \n", + "\n", + "\n", + "\n", + "The first step in this process is to get CTD data for the shallow profiler since it will have a\n", + "record of depth over time. This record is scanned in one-year chunks to identify the UTM start\n", + "times of each successive profile. Also determined: The start times of descents and the start times of rests. \n", + "\n", + "\n", + "\n", + "From these three sets of timestamps we can make the assumption that the end of an \n", + "ascent corresponds to the start of a descent. Likewise the end of a descent is the start of \n", + "a rest; and the start of an ascent is the end of the previous rest. Each ascent / descent / rest\n", + "interval is considered as one profile (in that order). The results are written to a CSV file\n", + "that has one row of timing metadata per profile. \n", + "\n", + "\n", + "\n", + "Now suppose the goal is to create a sequence of temperature plots for July 2019 for the Axial \n", + "Base shallow profiler. First we would identify the pre-existing CSV file for Axial Base for the\n", + "year 2019 and read that file into a pandas Dataframe. Let's suppose it is read into a profile\n", + "Dataframe called `p` and that we have labled the six columns that correspond to\n", + "ascent start/end, descent start/end and rest start/ned. Here is example code from `BioOpticsModule.py`.\n", + "\n", + "\n", + "```\n", + "p = pd.read_csv(metadata_filename, usecols=[\"1\", \"3\", \"5\", \"7\", \"9\", \"11\"])\n", + "p.columns = ['ascent_start', 'ascent_end', 'descent_start', 'descent_end', 'rest_start', 'rest_end']\n", + "p['ascent_start'] = pd.to_datetime(pDf['ascent_start'])\n", + "p['ascent_end'] = pd.to_datetime(pDf['ascent_end'])\n", + "p['descent_start'] = pd.to_datetime(pDf['descent_start'])\n", + "p['descent_end'] = pd.to_datetime(pDf['descent_end'])\n", + "p['rest_start'] = pd.to_datetime(pDf['rest_start'])\n", + "p['rest_end'] = pd.to_datetime(pDf['rest_end'])\n", + "```\n", + "\n", + "\n", + "\n", + "Let's examine two rows of this Dataframe:\n", + "\n", + "\n", + "\n", + "```\n", + "print(p['ascent_start'][0])\n", + "\n", + "2019-01-01 00:27:00\n", + "\n", + "print(p['ascent_start'][1600])\n", + "\n", + "2019-07-04 15:47:00\n", + "```\n", + "\n", + "\n", + "That is, row 0 corresponds to the start of 2019, January 1, and row 1600 occurs on July 4.\n", + "\n", + "\n", + "For a 365 day year with no\n", + "missed profiles (9 profiles per day) this file would contain 365 * 9 = 3285 profiles. In practice\n", + "there will be fewer owing to storms or other factors that interrupt data acquisition. \n", + "\n", + "\n", + "Each row of this dataframe corresponds to a profile run (ascent, descent, rest) of the shallow\n", + "profiler. Consequently we could use the time boundaries of one such row to select data that was\n", + "acquired *during the ascent period of that profile*. Suppose a temperature dataset for the month of July \n", + "is called `T`. `T` is constructed as an xarray Dataset with dimension `time`. \n", + "We can use the xarray *select* method `.sel`, as in `T.sel(time=slice(time0, time1))`, to\n", + "produce a Dataset with only times \n", + "that fall within a profile ascent window. \n", + "\n", + "\n", + "```\n", + "time0 = p['ascent_start'][1600]\n", + "time1 = p['ascent_end'][1600]\n", + "T_ascent = T.sel(time=slice(time0, time1))\n", + "```\n", + "\n", + "\n", + "Now `T_ascent` will contain about 60 minutes worth of data. \n", + "\n", + "\n", + "\n", + "This demonstrates loading time boundaries from the metadata `p`. \n", + "The metadata informs the small time box. Now we need the other direction \n", + "as well: Suppose the interval of interest is the first four days of July 2019.\n", + "We have no idea which rows of the metadata `p` this corresponds to. We need\n", + "a list of row indices for `p` in that time window. For this we \n", + "have a utility function.\n", + "\n", + "\n", + "```\n", + "def GenerateTimeWindowIndices(pDf, date0, date1, time0, time1):\n", + " '''\n", + " Given two day boundaries and a time window (UTC) within a day: Return a list\n", + " of indices of profiles that start within both the day and time bounds. This \n", + " works from the passed dataframe of profile times.\n", + " '''\n", + " nprofiles = len(pDf)\n", + " pIndices = []\n", + " for i in range(nprofiles):\n", + " a0 = pDf[\"ascent_start\"][i]\n", + " if a0 >= date0 and a0 <= date1 + td64(1, 'D'):\n", + " delta_t = a0 - dt64(a0.date())\n", + " if delta_t >= time0 and delta_t <= time1: pIndices.append(i)\n", + " return pIndices\n", + "```\n", + "\n", + "This function has both a date range and a time-of-day range. The resulting row index list corresponds\n", + "to profiles that satisfy both time window constraints: Date and time of day. \n", + "\n", + "\n", + "The end-result is this: We can go from a conceptual { time window } to a list of { metadata rows }, i.e. a\n", + "list of integer row numbers, using the above utility function. Within the metadata structure `p` we can \n", + "use these rows to look up ascent / descent / rest times for profiles.\n", + "At that point we have very specific { time window } boundaries for selecting data\n", + "from individual profiles. \n", + "\n", + "\n", + "* order data\n", + "* clean the data to regular 1Min samples\n", + "* scan the data for profiles; write these to CSV files\n", + "* load in a profile list for a particular site and year\n", + "\n", + "\n", + "Now we start charting this data. We'll begin with six signals, three each from the CTD and the fluorometer. \n", + "Always we have two possible axes: Depth and time. Most often we chart against depth using the y-axis and \n", + "measuring from a depth of 200 meters at the bottom to the surface at the top of the chart. \n", + "\n", + "\n", + "CTD signals\n", + "\n", + "\n", + "* Temperature\n", + "* Salinity\n", + "* Dissolved oxygen\n", + "\n", + "\n", + "Fluorometer signals\n", + "\n", + "\n", + "* CDOM: Color Dissolved Organic Matter)\n", + "* chlor-a: Chlorophyll pigment A\n", + "* scatt: Backscatter\n", + "\n", + "\n", + "The other sensor signals will be introduced subsequently. These include nitrate concentration,\n", + "pH, pCO2, PAR, spectral irradiance, local current and water density. \n", + "\n", + "\n", + "\n", + "\n", + "```\n", + "# Create a pandas DataFrame: Six columns of datetimes for a particular year and site\n", + "# The six columns are start/end for, in order: ascent, descent, rest: See column labels below.\n", + "def ReadProfiles(fnm):\n", + " \"\"\"\n", + " Profiles are saved by site and year as 12-tuples. Here we read only\n", + " the datetimes (not the indices) so there are only six values. These\n", + " are converted to Timestamps. They correspond to ascend start/end, \n", + " descend start/end and rest start/end.\n", + " \"\"\"\n", + " df = pd.read_csv(fnm, usecols=[\"1\", \"3\", \"5\", \"7\", \"9\", \"11\"])\n", + " df.columns=['ascent_start', 'ascent_end', 'descent_start', 'descent_end', 'rest_start', 'rest_end']\n", + " df['ascent_start'] = pd.to_datetime(df['ascent_start'])\n", + " df['ascent_end'] = pd.to_datetime(df['ascent_end'])\n", + " df['descent_start'] = pd.to_datetime(df['descent_start'])\n", + " df['descent_end'] = pd.to_datetime(df['descent_end'])\n", + " df['rest_start'] = pd.to_datetime(df['rest_start'])\n", + " df['rest_end'] = pd.to_datetime(df['rest_end'])\n", + " return df\n", + "\n", + "\n", + "# FilterSignal() operates on a time series DataArray passed in as 'v'. It is set up to point to multiple possible\n", + "# smoothing kernels but has just one at the moment, called 'hat'.\n", + "def FilterSignal(v, ftype='hat', control1=3):\n", + " \"\"\"Operate on an XArray data array (with some checks) to produce a filtered version\"\"\"\n", + " # pre-checks\n", + " if not v.dims[0] == 'time': return v\n", + "\n", + " if ftype == 'hat': \n", + " n_passes = control1 # should be a kwarg\n", + " len_v = len(v)\n", + " for n in range(n_passes):\n", + " source_data = np.copy(v) if n == 0 else np.copy(smooth_data)\n", + " smooth_data = [source_data[i] if i == 0 or i == len_v - 1 else \\\n", + " 0.5 * source_data[i] + 0.25 * (source_data[i-1] + source_data[i + 1]) \\\n", + " for i in range(len_v)]\n", + " return smooth_data\n", + " return v\n", + "\n", + "```\n", + "\n", + "\n", + "\n", + "#### [Table of Contents](#table-of-contents)\n", + "\n", + "\n", + "## Coding Environment\n", + "\n", + "\n", + "### bash, text editor, git, GitHub\n", + "\n", + "\n", + "### running a Jupyter notebook server (code and markdown)\n", + "\n", + "\n", + "- I learn the basic commands of the `bash` shell; including how to use a text editor like `nano` or `vim`\n", + "- I create an account at `github.com` and learn to use the basic `git` commands\n", + " - `git pull`, `git add`, `git commit`, `git push`, `git clone`, `git stash`\n", + " - I plan to spend a couple of hours learning `git`; I find good YouTube tutorials\n", + "- I create my own GitHub repository with a `README.md` file describing my research goals\n", + "- I set up a Jupyter notebook server on my local machine\n", + " - As I am using a PC I install WSL-2 (Windows Subsystem for Linux v2)...\n", + " - ...and install Miniconda plus some Python libraries\n", + "- I clone my \"empty\" repository from GitHub to my local Linux environment\n", + "- I start my Jupyter notebook server, navigate to my repo, and create a first notebook\n", + "- I save my notebook and use `git add, commit, push` to save it safely on GitHub\n", + "- On GitHub: Add and test a **`binder`** badge\n", + " - Once that works, be sure to `git pull` the modified GitHub repo back into the local copy\n", + "\n", + "#### [Table of Contents](#Table-of-Contents)\n", + "\n", + "\n", + "## OOI Data\n", + "\n", + "\n", + "### Ordering, retrieving and cleaning datasets from OOI\n", + "\n", + "\n", + "At this point we do not have any data; so let's do that next. There are two important considerations. \n", + "First: If the data volume will exceed 100MB: That is too much to keep in a GitHub repository. The\n", + "data must be staged \"nearby\" in the local environment; outside the repository but accessible by\n", + "the repository code, as in:\n", + "\n", + "\n", + "```\n", + " ------------- /repo directory\n", + " /\n", + "/home --------\n", + " \\\n", + " -------------- /data directory\n", + "\n", + "```\n", + "\n", + "\n", + "Second: Suppose the repo *does* contain (smaller) datasets, to be read by the code. \n", + "If the intent is to use `binder` to make a sandbox version of the repo\n", + "available, all significant changes to this code should be tested: First locally\n", + "and then (after a `push` to GitHub) ***in `binder`***. This ensures that not too \n", + "many changes pile up, breaking binder in mysterious and hard-to-debug ways.\n", + "\n", + "\n", + "\n", + "\n", + "Now that we have a dataset let's open it up and examine it within a Notebook.\n", + "The data are presumed to be in NetCDF format; so we follow common practice of\n", + "reading the data into an `xarray Dataset` which is a composition of `xarray\n", + "DataArrays`. There is a certain amount of learning here, particularly as this\n", + "library shares some Python DNA with `pandas` and `numpy`. Deconstructing an\n", + "`xarray Dataset` can be very challenging; so a certain amount of ink is devoted\n", + "to that process in this repo.\n", + "\n", + "#### [Table of Contents](#Table-of-Contents)\n", + "\n", + "\n", + "## NetCDF\n", + "\n", + "\n", + "### Open and subset a NetCDF data file via the `xarray Dataset` \n", + "\n", + "\n", + "Data provided by OOI tends to be \"not ready for use\". There are several steps needed; and\n", + "these are not automated. They require some interactive thought and refinement. \n", + "\n", + "\n", + "- Convert the principal dimension from `obs` or `row` to `time` \n", + " - `obs/row` are generic terms with values running 1, 2, 3... (hinders combining files into longer time series)\n", + "- Re-name certain data variables for easier use; and delete anything that is not of interest\n", + "- Identify the time range of interest\n", + "- Write a specific subset file\n", + " - For example: Subset files that are small can live within the repo\n", + "\n", + "\n", + "```\n", + "# This code runs 'one line at a time' (not as a block) to iteratively streamline the data\n", + "\n", + "# Suggestion: Pay particular attention to the construct ds = ds.some_operation(). This ensures \n", + "# that the results of some_operation() are retained in the new version of the Dataset. \n", + "\n", + "ds = xr.open_dataset(filename)\n", + "ds # notice the output will show dimension as \"row\" and \"time\" as a data variable\n", + "\n", + "\n", + "ds = ds.swap_dims({'row': 'time'}) # moves 'time' into the dimension slot\n", + "ds = ds.rename({'some_ridiculously_long_data_variable_name':'temperature'})\n", + "ds = ds.drop('some_data_variable_that_has_no_interest_at_this_point')\n", + "\n", + "\n", + "ds = ds.dropna('time') # if any data variable value == 'NaN' this entry is deleted: Includes all\n", + " # corresponding data variable values, corresponding coordinates and \n", + " # the corresponding dimension value. This enables plotting data such\n", + " # as pH that happens to be rife with NaNs. \n", + "\n", + "ds.z.plot() # this produces a simple chart showing gaps in the data record\n", + "ds.somedata.mean() # prints the mean of the given data variable\n", + "\n", + "ta0 = dt64_from_doy(2021, 60) # these time boundaries are set iteratively...\n", + "ta1 = dt64_from_doy(2021, 91) # ...to focus in on a particular time range with known data...\n", + "ds.sel(time=slice(ta0, ta1)).z.plot() # ...where this plot is the proof\n", + "\n", + "\n", + "ds.sel(time=slice(ta0, ta1)).to_netcdf(outputfile) # writes a time-bounded data subset to a new NetCDF file\n", + "```\n", + "\n", + "#### [Table of Contents](#Table-of-Contents)\n", + "\n", + "\n", + "## Depth And Time\n", + "\n", + "\n", + "Datasets have a depth attribute `z` and a time dimension `time`. These are derived by the data \n", + "system and permit showing sensor values (like temperature) either in terms of depth below the \n", + "surface; or in time relative to some benchmark. \n", + "\n", + "#### [Table of Contents](#Table-of-Contents)\n", + "\n", + "\n", + "## Data Features\n", + "\n", + "\n", + "- Some signals may have dropouts: Missing data is usually flagged as `NaN`\n", + " - See the section above on using the xarray `.dropna(dimension)` feature to clean this up\n", + "- Nitrate data also features ***dark sample*** data\n", + "- Spectrophotometer instruments measure both ***optical absorption*** and ***beam attenuation***\n", + " - For both of these about 82 individual channel values are recorded\n", + " - Each channel is centered at a unique wavelength in the visible spectrum\n", + " - The wavelength channels are separated by about 4 nm\n", + " - The data are noisy\n", + " - Some channels contain no data\n", + " - Sampling frequency needed\n", + "- Spectral irradiance carries seven channels (wavelengths) of data\n", + "- Current measurements give three axis results: north, east, up\n", + " - ADCP details needed\n", + "\n", + "#### [Contents](#Contents)\n", + "\n", + "\n", + "## Non OOI Data: ROMS, ARGO, MODIS, GLODAP, MSLA\n", + "\n", + "\n", + "### ROMS\n", + "\n", + "\n", + "### ARGO\n", + "\n", + "\n", + "### MODIS\n", + "\n", + "\n", + "### GLODAP\n", + "\n", + "\n", + "### MSLA\n", + "\n", + "\n", + "\n", + "#### [Contents](#Contents)\n", + "\n", + "\n", + "## Data Product Levels\n", + "\n", + "\n", + "The \n", + "[OOI Data Catalog Documentation](https://dataexplorer.oceanobservatories.org/help/overview.html#data-products) \n", + "describes three levels of data product, summarized: \n", + "\n", + "\n", + "* Level 1 ***Instrument deployment***: Unprocessed, parsed data parameter that is in instrument/sensor \n", + "units and resolution. See note below defining a *deployment*. This is not data we are interested in using, as a rule.\n", + "\n", + "\n", + "* Level 1+ ***Full-instrument time series***: A join of recovered and telemetered \n", + "streams for non-cabled instrument deployments. For high-resolution cabled and recovered data, this product is \n", + "binned to 1-minute resolution to allow for efficient visualization and downloads for users that do not need \n", + "the full-resolution, gold copy (Level 2) time series. We'd like to hold out for 'gold standard'.\n", + "\n", + "\n", + "* Level 2 ***Full-resolution, gold standard time series***: The calibrated full-resolution dataset \n", + "(scientific units). L2 data have been processed, pre-built, and served \n", + "from the OOI system to the \n", + "[OOI Data Explorer](https://dataexplorer.oceanobservatories.org/)\n", + "and to Users. The mechanisms are THREDDS and ERDDAP; file format \n", + "NetCDF-CF. There is one file for every instrument, stream, and deployment. For more refer to this\n", + "[Data Download](https://dataexplorer.oceanobservatories.org/help/overview.html#download-data-map-overview) link.\n", + "\n", + "#### [Contents](#Contents)\n", + "\n", + "\n", + "## Computing Infrastructure\n", + "\n", + "\n", + "- bash\n", + "- editors\n", + "- git\n", + "- GitHub\n", + "- Python\n", + "- nbpuller\n", + "- binder\n", + "- wget\n", + "- pickle\n", + "- modules\n", + "- `conda` \n", + " - environments\n", + " - vocabulary\n", + " - generating replicators\n", + "\n", + "\n", + "#### wget\n", + "\n", + "\n", + "`wget` can be used recursively to copy files from the web, i.e. to make local copies.\n", + "`wget` used in the **Global Ocean** notebook to get 500MB of data from the \n", + "cloud that would otherwise make the repository too bulky for GitHub. \n", + "\n", + "\n", + "Example usage, typically run from the command line, run from a Jupyter notebook\n", + "cell, or placed in a `bash` script:\n", + "\n", + "\n", + "```\n", + "wget -q https://kilroybackup.s3.us-west-2.amazonaws.com/glodap/GLODAPv2.2016b.NO3.nc -O glodap/NO3.nc\n", + "```\n", + "\n", + "The `-q` flag suppresses output ('quiet') and `-O` specifies the local name of the data file.\n", + "\n", + "\n", + "\n", + "### Jupyter servers \n", + "\n", + "- Littlest and so on\n", + "\n", + "\n", + "\n", + "\n", + "## flag move up to RCA OOI Terminology\n", + "\n", + "\n", + "\n", + "- **instrument**: A physical device with one or more sensors.\n", + "- **stream**: Sensor data.\n", + "- **deployment**: The act of putting infrastructure in the water, or the length of \n", + "time between a platform going in the water and being recovered and brought back to shore.There are \n", + "multiple deployment files per instrument. \n", + "\n", + "\n", + "\n", + "## Diagnostics\n", + "\n", + "\n", + "```\n", + "#########################\n", + "#\n", + "# Profiler diagnostic view\n", + "#\n", + "#########################\n", + "\n", + "# This is a diagnostic for a sequence of four profiles:\n", + "\n", + "for i in [503, 504, 505, 506]: print(i, 'profile start / end:', pDf21[\"ascent_start\"][i], \\\n", + " pDf21[\"descent_end\"][i], ' duration: ', pDf21[\"descent_end\"][i] - pDf21[\"ascent_start\"][i]) \n", + "\n", + "# Results, noting the fourth one is a midnight (slow descent) profile\n", + "\n", + "503 profile start / end: 2021-03-01 00:27:00 2021-03-01 02:05:00 duration: 0 days 01:38:00\n", + "504 profile start / end: 2021-03-01 02:42:00 2021-03-01 04:21:00 duration: 0 days 01:39:00\n", + "505 profile start / end: 2021-03-01 04:52:00 2021-03-01 06:31:00 duration: 0 days 01:39:00\n", + "506 profile start / end: 2021-03-01 07:22:00 2021-03-01 10:03:00 duration: 0 days 02:41:00\n", + "\n", + "# Profile 506 is an hour longer in duration than the three prior. The profiler pauses during descent\n", + "# to give the pH sensor time to equilibrate. The following chart shows depth with time over 24 hours\n", + "# including slowed descents for midnight and noon.\n", + "\n", + "#####################\n", + "#\n", + "# Saving a figure\n", + "#\n", + "#####################\n", + "\n", + "fig.savefig(os.getcwd() + \"/Images/charts/ABCOST_signals_vs_depth_and_time.png\")\n", + "\n", + "#####################\n", + "#\n", + "# Generate / Save / Play Back an animated chart\n", + "#\n", + "#####################\n", + "\n", + "# This code (animate / playback / save) takes time to run so commented out by default\n", + "# if False: \n", + " # anim = animation.FuncAnimation(fig, AnimateChart, init_func=AnimateInit, \\\n", + " # frames=nframes, interval=200, blit=True, repeat=False)\n", + " # play immediately: HTML(anim.to_html5_video())\n", + " # anim.save(this_dir + '/Images/animations/multisensor_animation.mp4')\n", + " \n", + " \n", + "#######################################\n", + "#\n", + "# Specific to BioOptics: Generate a five-signal animation\n", + "#\n", + "#######################################\n", + "\n", + "\n", + "# Animated time series\n", + "\n", + "site = 'osb'\n", + "year = '2021'\n", + "pDf21 = ReadProfileMetadata(os.getcwd() + \"/./Profiles/\" + site + year + \".csv\") \n", + "\n", + "firstframe = 506 # march 1 in 2021 at OSB\n", + "nframes = 279 # 279 max for one month\n", + "ncharts = 5\n", + "\n", + "fig, axs = plt.subplots(figsize=(12.5,14), tight_layout=True)\n", + "\n", + "# configuration lists with seven elements each, one for each sensor\n", + "clr = ['red', 'black', 'xkcd:bronze', 'green', 'magenta']\n", + "lows = [temp_lo, salinity_lo, do_lo, chlora_lo, cdom_lo]\n", + "highs = [temp_hi, salinity_hi, do_hi, chlora_hi, cdom_hi]\n", + "lbls = [\"Temperature\",\"Salinity\",\"Dissolved Oxygen\",\"Chlorophyll-A\",\"CDOM\"]\n", + "offs = [1.0, 1.065, 1.130, 1.195, 1.260]\n", + "mrkrs = ['o', 's', 'D', 'v', '^']\n", + "\n", + "axs.set_title('Temp, Salinity, DO, Chl-A, CDOM with Depth/Time')\n", + "axs.title.set_fontsize(22)\n", + "axs.yaxis.label.set_color('k')\n", + "axs.yaxis.label.set_fontsize(18)\n", + "axs.set_ylabel(\"Depth (m)\")\n", + "\n", + "axs.xaxis.label.set_fontsize(18)\n", + "\n", + "atw = [axs.twiny() for i in range(ncharts)] # twin y-axes supporting the multiple sensor types\n", + "\n", + "# Configures all of the twin axes per the above configuration lists\n", + "for i in range(ncharts): \n", + " atw[i].set(xlim = (lows[i], highs[i]), ylim = (-200., 0.))\n", + " atw[i].xaxis.label.set_fontsize(18)\n", + " atw[i].set_xlabel(lbls[i])\n", + " atw[i].xaxis.set_ticks_position('top')\n", + " atw[i].spines['top'].set_position(('axes', offs[i]))\n", + " atw[i].xaxis.label.set_color(clr[i])\n", + " atw[i].tick_params(axis='x', colors=clr[i], size=4, width=1.5)\n", + "\n", + "lines = [atw[i].plot([], [], lw=1, marker=mrkrs[i], ms = 6., c=clr[i], mfc=clr[i])[0] for i in range(ncharts)]\n", + "\n", + "def AnimateInit():\n", + " for i in range(ncharts): lines[i].set_data([], [])\n", + " return lines\n", + "\n", + "pIdcs = [i for i in range(firstframe, firstframe + nframes)]\n", + "\n", + "def AnimateChart(frame):\n", + " global pIdcs\n", + " \n", + " t0, t1 = pDf21['ascent_start'][pIdcs[frame]], pDf21['ascent_end'][pIdcs[frame]]\n", + "\n", + " Ts = dsT.sel(time=slice(t0, t1))\n", + " Ss = dsS.sel(time=slice(t0, t1))\n", + " Os = dsO.sel(time=slice(t0, t1))\n", + " As = dsA.sel(time=slice(t0, t1))\n", + " Cs = dsC.sel(time=slice(t0, t1))\n", + "\n", + " lines[0].set_data(Ts.temp, Ts.z)\n", + " lines[1].set_data(Ss.salinity, Ss.z)\n", + " lines[2].set_data(Os.doxygen, Os.z)\n", + " lines[3].set_data(As.chlora, As.z)\n", + " lines[4].set_data(Cs.cdom, Cs.z)\n", + "\n", + " clear_output(wait = True)\n", + " print(\"animating frame\", frame)\n", + " \n", + " return lines\n", + "\n", + "\n", + "##########################################################\n", + "#\n", + "# Organizational remarks across 16 datatypes (spectrophotometer not included\n", + "#\n", + "##########################################################\n", + "#\n", + "# Concerning the names of data variables\n", + "# Some engineering elements of OOI result in complex names. This commented-out code fragment demonstrates\n", + "# opening a NetCDF file as an XArray Dataset and renaming a data variable to something simpler.\n", + "#\n", + "# dsO = xr.open_dataset(\"../data/data_explorer_1Min/axb/profiler/axb_profiler_doxygen_1Min.nc\")\n", + "# dsO = dsO.rename_vars({\"moles_of_oxygen_per_unit_mass_in_sea_water_profiler_depth_enabled\":\"doxygen\"})\n", + "# dsO\n", + "#\n", + "# This cell formerly loaded selected datasets from the large (multi-year) data pool. This pool is \n", + "# external to the repository owing its large volume. This read cell is therefore now deprecated\n", + "# in favor of subsequent cells that load smaller datasets from within the repository.\n", + "#\n", + "# To keep code compact I use the following table of abbreviations for sensors.\n", + "# BioOptics includes Fluorometers, the main emphasis here. Fluorometers carry either two or\n", + "# three sensor types: Chlorophyll-A, Color Dissolved Organic Matter (CDOM), and particulate backscatter. \n", + "# The BioOptics ensemble also includes PAR and Spectral Irradiance. PAR measurements are individual\n", + "# values. Spectral irradiance is seven values per observation. Spectrophotometers are not considered\n", + "# in this notebook.\n", + "#\n", + "# Dictionary of single-letter sensor keys: The capitalized letter follows 'ds', an abbreviation for\n", + "# an XArray Dataset. We have therefore: dsA, dsB, dsC, etcetera\n", + "#\n", + "# Desig Data Renamed Instrument Runs during\n", + "# ----- ---- ------- ---------- -----------\n", + "# A Chlorophyll-A chlora fluorometer continuous\n", + "# B backscatter backscatter fluorometer continuous\n", + "# C CDOM cdom fluorometer continuous\n", + "# G pCO2 pco2 ? midnight/noon descent\n", + "# H pH ph pH midnight/noon descent\n", + "# I Spectral Irradiance ? spkir continuous\n", + "# M Reserved for Nitrate' ? nitrate midnight/noon ascent\n", + "# N Nitrate ? nitrate midnight/noon ascent\n", + "# P PAR par PAR continuous\n", + "# Q pressure pressure CTD continuous\n", + "# O dissolved oxygen doxygen CTD continuous\n", + "# S salinity salinity CTD continuous\n", + "# T temperature temp CTD continuous\n", + "# U velocity east veast xyz-current continuous\n", + "# V velocity north vnorth xyz-current continuous\n", + "# W velocity up vup xyz-current continuous\n", + "#\n", + "# \n", + "# Shallow profilers begin at rest at a depth of 200 meters. They ascend to within\n", + "# about 10 meters of the surface, then descend to create a double profile dataset;\n", + "# whereupon they return to the at-rest state. This cycle repeats nine times per\n", + "# day. What follows is a simple dictionary of interval designators: The capital letter \n", + "# follows the sensor key\n", + "#\n", + "# A Ascent\n", + "# D Descent\n", + "# R Rest\n", + "#\n", + "#\n", + "# There are three RCA shallow profiler sites with names abbreviated herein:\n", + "#\n", + "# osb Oregon Slope Base\n", + "# axb Axial Base\n", + "# oos Oregon Offshore (part of the Endurance array)\n", + "#\n", + "# For more on this see the README.md file and the Notebooks subdirectory.\n", + "#\n", + "################################################################################################\n", + "\n", + "####################\n", + "####################\n", + "####\n", + "#### IMPORTANT!!!!!!!!!!!\n", + "####\n", + "#### The code below loads data and ***renames*** the data variables to make them easier to work with\n", + "####\n", + "####################\n", + "####################\n", + "\n", + "\n", + "\n", + ".......................................\n", + "\n", + "\n", + "# This cell can be used to glance at data availability for each type of data. It uses a \n", + "# very simple plot call to show presence/absence over the history of the cabled array\n", + "# deployment. Both pCO2 and pH are 'no data' results; and upward velocity looks suspicious.\n", + "# The other datasets look to be present during the first half of 2021.\n", + "#\n", + "# To recap the relevant part of the single-letter-designator table...\n", + "#\n", + "# Desig Data Renamed Instrument\n", + "# ----- ---- ------- -----------\n", + "# G pCO2 pco2 ?\n", + "# H pH ph pH\n", + "# I Spectral Irradiance si412, si443, si490, spkir\n", + "# si510, si555, si620, si683 \n", + "# N Nitrate nitrate nitrate\n", + "# P PAR par PAR\n", + "# U velocity east veast ADCP?\n", + "# V velocity north vnorth ADCP?\n", + "# W velocity up vup ADCP?\n", + "\n", + "# un-comment the next line and one of the sensor lines that follow\n", + "# fig, ax = plt.subplots(figsize=(12, 8), tight_layout=True)\n", + "\n", + "# ax.plot(dsG.time, dsG.pco2, ms = 1., color='blue', mfc='blue') # no data\n", + "# ax.plot(dsH.time, dsH.ph, ms = 1., color='blue', mfc='blue') # no data\n", + "# ax.plot(dsI.time, dsI.si412, ms = 1., color='blue', mfc='blue') # good first half of 2021 (max 80)\n", + "# ax.plot(dsI.time, dsI.si443, ms = 1., color='blue', mfc='blue') # \" \n", + "# ax.plot(dsI.time, dsI.si490, ms = 1., color='blue', mfc='blue') # \" \n", + "# ax.plot(dsI.time, dsI.si510, ms = 1., color='blue', mfc='blue') # \" \n", + "# ax.plot(dsI.time, dsI.si555, ms = 1., color='blue', mfc='blue') # \" \n", + "# ax.plot(dsI.time, dsI.si620, ms = 1., color='blue', mfc='blue') # \" (max down around 15)\n", + "# ax.plot(dsI.time, dsI.si683, ms = 1., color='blue', mfc='blue') # \" (max down around 6)\n", + "# ax.plot(dsN.time, dsN.nitrate, ms = 1., color='blue', mfc='blue') # \" \n", + "# ax.plot(dsO.time, dsO.doxygen, ms = 1., color='blue', mfc='blue') # \" \n", + "# ax.plot(dsP.time, dsP.par, ms = 1., color='blue', mfc='blue') # \"\n", + "# ax.plot(dsS.time, dsS.salinity, ms = 1., color='blue', mfc='blue') # \"\n", + "# ax.plot(dsT.time, dsT.temp, ms = 1., color='blue', mfc='blue') # \"\n", + "# ax.plot(dsU.time, dsU.veast, ms = 1., color='blue', mfc='blue') # \"\n", + "# ax.plot(dsV.time, dsV.vnorth, ms = 1., color='blue', mfc='blue') # \"\n", + "# ax.plot(dsW.time, dsW.vup, ms = 1., color='blue', mfc='blue') # \" suspiciously high amplitude in 2021\n", + "\n", + "########################\n", + "#\n", + "# shear calculation code removed from BioOptics.ipynb\n", + "#\n", + "########################\n", + "\n", + "# get a list of ascent indices (for dataframe pDf21, OSB 2021) for March 1, 2021\n", + "t_midnight = td64(0, 'm')\n", + "t_almost_midnight = td64(24*60-1, 'm')\n", + "list_of_ascents = GenerateTimeWindowIndices(pDf21, dt64('2021-03-01'), dt64('2021-03-02'), noon0, noon1)\n", + "print(list_of_ascents)\n", + "\n", + "# attempt a shear calculation\n", + "def ShearProfile(v, offset):\n", + " \"\"\"Calculate shear from a Dataset dim=time, data vars = veast, vnorth, z\"\"\"\n", + " # verify the time dimension\n", + " if not v.dims['time']: return v\n", + " len_v = v.dims['time']\n", + " return [0. if i + offset >= len_v else \\\n", + " np.sqrt((vel['veast'][i]-vel['veast'][i + offset])**2 + \\\n", + " (vel['vnorth'][i]-vel['vnorth'][i + offset])**2) \\\n", + " for i in range(len_v)]\n", + "\n", + "i=0\n", + "offset=2\n", + "veast = dsU.sel(time=slice(pDf21['ascent_start'][list_of_ascents[i]], pDf21['ascent_end'][list_of_ascents[i]]))\n", + "vnorth = dsV.sel(time=slice(pDf21['ascent_start'][list_of_ascents[i]], pDf21['ascent_end'][list_of_ascents[i]]))\n", + "vel = xr.merge([veast, vnorth])\n", + "shear = ShearProfile(vel, offset)\n", + "\n", + "fig, axs = plt.subplots(figsize=(12,4), tight_layout=True)\n", + "axs.plot(shear, vel.z, marker='.', ms=9., color='k', mfc='r')\n", + "axs.set(ylim = (-200., 0.), title='--------------')\n", + "\n", + "# Some additional poking around code...\n", + "\n", + "# fig, axs = plt.subplots(figsize=(12,4), tight_layout=True)\n", + "# axs.plot(vel.time, vel.z, marker='.', ms=9., color='k', mfc='r')\n", + "# axs.set(ylim = (-200., 0.), title='Depth versus time: Ascent per velocity sensor')\n", + "\n", + "# vel.var\n", + "\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "04b8c6db", + "metadata": {}, + "source": [ + "## Part 3 Getting Data" + ] + }, + { + "cell_type": "markdown", + "id": "518d45f8", + "metadata": {}, + "source": [ + "# Get Started With Data\n", + "\n", + "\n", + "This notebook introduces working with OOI data: From file to data structure to time series chart.\n", + "Visualization of data with depth (for example using profilers) is done in **`BioOptics.ipynb`**.\n", + "\n", + "\n", + "Starting assumption: A Dataset has been secured from OOI as a NetCDF file. \n", + "Within this directory we have `dataset.nc` to serve this role: Surface water\n", + "Chlorophyll-A fluorescence from Global Station Papa. \n", + "\n", + "\n", + "Using XArray Dataset methods we proceed:\n", + "\n", + "\n", + "- Read the file into memory as an XArray Dataset\n", + "- Print an overview of the Dataset: Dimensions, Coordinates, Data Variables and Attributes\n", + "- Modify the ordinal dimension `row` to `time`\n", + "- Along the time dimension: Drop all entries with value NAN (not a number)\n", + "- Rename the Data Variable for `chlorophyll` from a very long descriptive term to simply `chlora`\n", + "- Print an overview of the Dataset to note these changes\n", + "- Plot the chlorophyll data over the full time interval\n", + " - ...noting this runs from 2014 through 2020 with some gaps\n", + " - ...noting that August through October 2018 appears to be good data\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "692c4b46-acfd-4609-a07e-3501640e872f", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import numpy as np, pandas as pd, xarray as xr\n", + "from numpy import datetime64 as dt64, timedelta64 as td64\n", + "import matplotlib.pyplot as plt\n", + "D = xr.open_dataset('./../dataset.nc')\n", + "D" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7778592b-d144-485a-b496-547dc409e919", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "D = D.swap_dims({'row':'time'}) # make 'time' the Dimension\n", + "D = D.dropna('time') # drop NaN data values\n", + "D=D.rename({'mass_concentration_of_chlorophyll_a_in_sea_water':'chlora'})\n", + "D " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3687a09e-ef52-447d-892c-82340ea081ad", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "print('Dataset starts:', D.time[0].time.data, '.....and ends:', D.time[-1].time.data)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "25c1b4c1-ca83-4213-aaca-1ded654b99a7", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "D.chlora.plot() " + ] + }, + { + "cell_type": "markdown", + "id": "bf9209b3-3766-4212-ab29-d2545ba235c8", + "metadata": {}, + "source": [ + "#### Interpretation so far...\n", + "\n", + "\n", + "The dataset D was read from a NetCDF file and manipulated in the above cells.\n", + "The last step was plotting the Chlorophyll A concentration as a time series.\n", + "Data is present in intermittent stretches along the time axis. The line jumps\n", + "indicate no data are available. \n", + "\n", + "\n", + "Next we focus on a time \n", + "range in 2018 where we appear to have good data: Aug 1 through Nov 1.\n", + "\n", + "\n", + "- Extract a time sub-range Aug 1 - Nov 1, 2018\n", + "- Drop NaN values\n", + "- Examine the resulting Dataset\n", + "- Examine a rough plot of the chlorophyll with time\n", + "- Resample the data from 15 minute intervals to day intervals\n", + "- Plot both day-interval and 15-minute-interval versions of chlorophyll with time" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f01f8f6e-6302-46bf-b861-77cb7c42ed61", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "time0 = dt64('2018-08-01')\n", + "time1 = dt64('2018-11-01')\n", + "D = D.sel(time=slice(time0, time1)) # slice out data from the chosen time range\n", + "D = D.dropna('time') # (redundant) drop NaN values\n", + "D # inspect the dataset" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "93b763e7-6bde-4449-b0c7-d3f937bfafe0", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "D.chlora.plot() # this plot shows a contiguous data record" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c70c5f68-d490-4555-b2f0-0c862456e1c9", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "D24=D.resample(time='24H').mean()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4d876841-16b9-4cd8-a23a-60467aa33846", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "fig, ax = plt.subplots(figsize=(8, 8), tight_layout=True)\n", + "ax.plot(D.time, D.chlora, color='red')\n", + "ax.plot(D24.time, D24.chlora, color='black')\n", + "ax.set(title = 'Chlorophyll (time): Global Station Papa 15 min (red) and daily (black)')\n", + "ax.set(ylim = (0., 3.))" + ] + }, + { + "cell_type": "markdown", + "id": "5ed437db-6078-4bf1-ba9d-aa832edecbbd", + "metadata": { + "tags": [] + }, + "source": [ + "#### Interpretation\n", + "\n", + "\n", + "The chlorophyll signal shows a four-fold increase through mid-October \n", + "and then drops sharply towards the end of the time series. \n", + "\n", + "\n", + "This fluorometer resides at a fixed depth on a mooring as part of the \n", + "Station Papa global array. \n", + "\n", + "\n", + "Profiling sensors add an additional level of \n", + "complexity." + ] + }, + { + "cell_type": "markdown", + "id": "e98dac7a-c1b3-48f5-9654-1f163a16f760", + "metadata": {}, + "source": [ + "# Here on: Residual notes\n", + "\n", + "\n", + "### To Do List\n", + "\n", + "\n", + "- interactive oceans data?\n", + "- reimagine ocean.py without charting; then depthchart.py\n", + "- maybe ./../data/experiment01 with a readme.txt and all the data in one place\n", + "- charts folder; then decorate the narrative with the charts\n", + "- make dim dropouts not plot diagonal lines\n", + "- revisit generating profiles from a depth time series\n", + "- programmatic data access through an API\n", + "- data streamlining\n", + " - Understand/annotate shallow profiler profile intervals (r,a,d)\n", + " - Sampling rates: Optional\n", + "\n", + "\n", + "\n", + "\n", + "### Profiler metadata: Calculate / Load timing data for rest - ascent - descent timestamps\n", + "\n", + "\n", + "- destination: subfolder `profiles`: `.csv` files corresponding to pandas dataframes\n", + " - row includes a profiler ascent start, descent start, rest start\n", + "- *axb*, *osb*, *oos*\n", + "- Annotate pH equil stops: both local midnight and noon\n", + " - Are things like T/C/DO stable during equil stops? \n", + "- Does chlorophyll versus backscatter show more zooplankton at depth? Diel?\n", + " - ArcticGRO 29\n", + " \n", + "\n", + "### Spectrophotometer \n", + "\n", + "Dimensions `obs` and `wavelength`" + ] + }, + { + "cell_type": "markdown", + "id": "d5e97bfe-b423-44b4-a464-3f64d9ead3cb", + "metadata": {}, + "source": [ + "# This goes where?\n", + "\n", + "\n", + "### Selecting profile ascent data from the profiler time series\n", + "\n", + "* A separate set of notebooks (see Notebooks folder) produced tables of profile start/end times\n", + " * Results are saved in the Profiles folder of this repository\n", + " * Each saved CSV file is for a single year and a single location (from OSB, OOS, AXB)\n", + " * Starting from 2015 and running through 2021 this results in 3 x 7 = 21 files\n", + " * Owing to technical issues: Oregon Offshore is missing for 2021\n", + " * Here we use strictly one of these: For OSB and 2021: **`osb2021.csv`**.\n", + " \n", + "* **`ReadProfileMetadata(fnm)`** loads profile metadata into a (pandas) Dataframe **`pDf`**\n", + " * Each row of **`pDf`**: dt64 times: start/end for all three of: ascent, descent, rest\n", + " * We focus on **`ascent_start`** and **`ascent_end`**\n", + " * The reference is hence pDf['ascent_start'][integer_index]\n", + " * For OSB and 2021: integer_index = 0 will be the first (UTC) profile on January 1, 2021 at OSB\n", + " * At nine profiles per day there are a maximum of 365 * 9 profiles in a year\n", + " * We expect occasional drops and intervals of time when the profiler was not running\n", + " \n", + "* **`GenerateTimeWindowIndices(pDf, date0, date1, time0, time1)`** produces a list of table row-indices for **`pDf`**\n", + " * date0 and date1 define a range of days\n", + " * time0 and time1 define a time range applied to each day\n", + " * the list is extended for each **`ascent_start`** in **`pDf`** that falls within both\n", + " \n", + "* Suppose we want to see only nitrate profiles, i.e. the noon and midnight profiles from each day\n", + " * First generate a list using the midnight time range, say `list_midn`\n", + " * Second generate a list using the noon time range, say `list_noon`\n", + " * Combine the lists: These will be non-sequential indices for **`pDf`** rows\n", + " * Use the list sorting method `list.sort()` to order this combined list. Result will be time-sequential. \n", + " \n", + "* Suppose we want sensor vs depth charts for a set of profiles\n", + " * ...we have the corresponding list of profile indices (indexing into **`pDf`**) called **`pIdcs`**.\n", + " * ...we have a Dataset of data from sensor **X** called **`dsX`**\n", + " * Run an index **`i`** across **`pIdcs`**\n", + " * For index **`i`** set a time range: **`t0, t1 = pDf['ascent_start'][pIdcs[i]], pDf['ascent_end'][pIdcs[i]]`**\n", + " * Select data from the Dataset using this time range: **`Xs = dsX.sel(time=slice(t0, t1))`**\n", + " \n", + "* To streamline comparison-charting for two sensors A and B we have the function **`ChartAB()`**\n", + " * **`def ChartAB(pDf, xrng, pIdcs, A, Az, Albl, Acolor, B, Bz, Blbl, Bcolor)`**\n", + " * **`pDf`** is the profile metadata described above\n", + " * **`xrng`** is a list of low/high tuples for A and B\n", + " * **`pIdcs`** is a list of profile indices. \n", + " * The length of this list corresonds to the number of charts to be produced\n", + " * A and Az are data and z-value DataArrays, same for B and Bz\n", + " * From a Dataset **`As`** these would be passed as **`As.sensorname`** and **`As.z`**\n", + "\n", + "\n", + "- nitrate sequence to include midnight and noon both\n", + "- Place in this section a brief description of element-wise calculation (see shear, below)\n", + " - Include integrating shear as a new DataArray in a Dataset\n", + "- Consider: Filter velocity e.g. 30 meter box filter before calculating shear\n", + "\n", + "```\n", + "def streamline_data(source, output, keep_dims, keep_coords, keep_data_vars, keep_attrs):\n", + "\n", + " def timeswap_preprocessor(fds): # per-file datasets have dimension 'obs'\n", + " a = fds.swap_dims({'obs':'time'}) # ...so we pre-swap that for time\n", + " for key in a.dims: \n", + " if key not in keep_dims: a = a.drop_dims(key)\n", + " for key in a.coords: \n", + " if key not in keep_coords: a = a.drop(key)\n", + " for key in a.data_vars: \n", + " if key not in keep_data_vars: a = a.drop(key)\n", + " attrs_dict = a.attrs.copy() \n", + " for key in attrs_dict: \n", + " if key not in keep_attrs: a.attrs.pop(key)\n", + " return a\n", + " \n", + " ds = xr.open_mfdataset(source, preprocess = timeswap_preprocessor, concat_dim='time', combine='by_coords') \n", + " ds.to_netcdf(output)M\n", + " \n", + " return ds\n", + "\n", + "\n", + "# Example: pH sampling tracking the profiler\n", + "ds_phsen.sel(time=slice(dt64('2020-11-23T00:00:00'),dt64('2020-11-26T00:00:00'))).depth.plot()\n", + "\n", + "\n", + "def prepro(fds): \n", + " return fds.swap_dims({'obs':'time'})\n", + "\n", + "sample_file = 'deployment*.nc'\n", + "ds = xr.open_mfdataset(os.getenv(\"HOME\") + '/data_CTD_entire_time_range/' + sample_file, preprocess = prepro, compat='no_conflicts')\n", + "\n", + "\n", + "\n", + "# - 3-Wavelength fluorometer (flort: got it for OSB SP 2019)\n", + "# - CTD (ctdpf: got it for OSB SP 2019)\n", + "# - Photosynthetically Available Radiation (parad: got it for OSB SP 2019)\n", + "# - pH (phsen: got it for OSB SP 2019)\n", + "# - Spectral Irradiance (spkir: got)\n", + "# - Spectrophotometer (optaa: got)\n", + "# - NOT YET: Single Point Velocity Meter (velpt: )\n", + "# - Nitrate (nutnr: Got both nutnr_a_sample and nutnr_a_dark_sample)\n", + "# - pCO2 water (two streams: pco2w_a_sami_data_record and pco2w_b (no data past 2018; placed 2018 data\n", + "\n", + "# instrument 2014 2015 2016 2017 2018 2019 2020\n", + "#\n", + "# Oregon Slope Base\n", + "# SP flort 3-wavelength !\n", + "# SP ctdpf !\n", + "# SP parad !\n", + "# SP phsen !\n", + "# SP spkir !\n", + "# SP optaa !\n", + "# SP velpt !\n", + "# SP nutnr_a, nutnr_a_dark !\n", + "# SP pco2w_a_sami !\n", + "# SP pco2w_b_sami ! NA\n", + "# 200m ctdpf !\n", + "# 200m flort !\n", + "# 200m phsen !\n", + "# 200m do_stable !\n", + "# DP ctdpf wfp ! NA NA NA\n", + "# DP ctdpf inst !\n", + "# DP acm (VEL3D) inst !\n", + "# DP flcdrdt inst fluorometer !\n", + "#\n", + "# Axial Base\n", + "# SP flort !\n", + "# SP ctdpf !\n", + "# SP parad !\n", + "# SP phsen !\n", + "# SP spkir ?\n", + "# SP optaa !\n", + "# SP velpt ?\n", + "# SP nutnr_a, nutnr_a_dark ?\n", + "# SP pco2w_a_sami !\n", + "# SP pco2w_b_sami ?\n", + "# 200m ctdpf !\n", + "# 200m flort !\n", + "# 200m phsen !\n", + "# 200m do_stable !\n", + "# DP ctdpf wfp !\n", + "# DP ctdpf inst !\n", + "# DP acm (VEL3D) inst ?\n", + "# DP flcdrdt inst CDOM fluorometer !\n", + "# DP fl????? inst 2-Wav fluorometer ?\n", + "# DP dissolved oxygen !\n", + "# \n", + "# filename anatomy\n", + "# deployment0005 or 0006 etc\n", + "# _RS03AXPS site: AX is Axial, SB is slope base\n", + "# -SF03A platform: SF is shallow profiler, DP is deep profiler, PC is 200m platform \n", + "# -3B number + letter: unknown\n", + "# -OPTAAD301 6-letter instrument + 'A'/'D' + 30X/10X\n", + "# -streamed 'streamed' or 'recovered_inst' or 'recovered_wfp'\n", + "# -optaa_sample instrument designator, sometimes 'dpc_xxxxx_instrument_recovered'\n", + "# _20191004T073957.414490 datetime start\n", + "# -20191014T220233.907019 datetime end\n", + "# .nc NetCDF file\n", + "#\n", + "```\n", + "\n", + "\n", + "ds=xr.open_mfdataset(...filename description string including wildcard...)\n", + "ds = ds.swap_dims({'obs':'time'})\n", + "\n", + "\n", + "See use of a *preprocessor* function; or avoid this by putting the data into 'time' dimension first" + ] + }, + { + "cell_type": "markdown", + "id": "e2a7c2d8-815f-43c1-b7f1-65f6dd16f2a7", + "metadata": {}, + "source": [ + "## More un-sorted code resources\n", + "\n", + "```\n", + "\n", + "colorT = 'black'\n", + "colorS = 'xkcd:blood orange'\n", + "colorO = 'xkcd:blue'\n", + "colorA = 'xkcd:green'\n", + "colorB = 'xkcd:dark cyan'\n", + "colorC = 'red'\n", + "colorN = 'xkcd:gold'\n", + "colorP = 'magenta'\n", + "colorH = 'xkcd:purple blue'\n", + "\n", + "colorTd = 'grey'\n", + "colorSd = 'xkcd:yellow orange'\n", + "colorOd = 'xkcd:azure'\n", + "colorAd = 'xkcd:pale green'\n", + "colorBd = 'xkcd:light turquoise'\n", + "colorCd = 'xkcd:pinkish'\n", + "colorNd = 'xkcd:brownish yellow'\n", + "colorPd = 'xkcd:barbie pink'\n", + "colorHd = 'xkcd:pastel purple'\n", + "\n", + "\n", + "# time ranges for midnight and noon profiles, adjusted for UTC\n", + "# midn0 - midn1 is a time range for the midnight profile start\n", + "# noon0 - noon1 is a time range for the noon profile start\n", + "midn0 = td64( 7*60 + 10, 'm') # 7 hours 10 minutes\n", + "midn1 = td64( 7*60 + 34, 'm') # 7 hours 34 minutes\n", + "noon0 = td64(20*60 + 30, 'm') # 20 hours 30 minutes\n", + "noon1 = td64(20*60 + 54, 'm') # 20 hours 54 minutes \n", + "\n", + "\n", + "\n", + "def GetDiscreteSummaryCastSubset(dsDf, cast, columns):\n", + " '''\n", + " dsDf is a Discrete Summary Dataframe\n", + " cast is a string corresponding to the cast identifier, e.g. 'CTD-001'\n", + " columns is a list of column names to extract from the full Dataframe\n", + " Returns a Dataframe for 'just that cast' and 'just those parameters'\n", + " '''\n", + " return dsDf.loc[(dsDf['cast']==cast)][columns]\n", + "\n", + "\n", + "def CompareAscentDescent(p, T, S, O, A, B, C):\n", + " '''Get a sense of variability between ascent and subsequent descent'''\n", + " \n", + " pw = GenerateTimeWindowIndices(p, dt64_from_doy(2021, 65), dt64_from_doy(2021, 65), td64(0, 'h'), td64(24, 'h'))\n", + " ncharts = len(pw)\n", + "\n", + " fig, axs = plt.subplots(ncharts, 3, figsize=(15, 4*ncharts), tight_layout=True)\n", + "\n", + " axt0 = [axs[i][0].twiny() for i in range(ncharts)]\n", + " axt1 = [axs[i][1].twiny() for i in range(ncharts)]\n", + " axt2 = [axs[i][2].twiny() for i in range(ncharts)]\n", + "\n", + " for i in range(pw[0], pw[-1]+1):\n", + "\n", + " axi = i - pw[0]\n", + "\n", + " t0, t1, t2 = p[\"ascent_start\"][i], p[\"ascent_end\"][i], p[\"descent_end\"][i]\n", + "\n", + " Ta = T.sel(time=slice(t0, t1))\n", + " Td = T.sel(time=slice(t1, t2))\n", + " Sa = S.sel(time=slice(t0, t1))\n", + " Sd = S.sel(time=slice(t1, t2))\n", + " Oa = O.sel(time=slice(t0, t1))\n", + " Od = O.sel(time=slice(t1, t2))\n", + " Aa = A.sel(time=slice(t0, t1))\n", + " Ad = A.sel(time=slice(t1, t2))\n", + " Ba = B.sel(time=slice(t0, t1))\n", + " Bd = B.sel(time=slice(t1, t2))\n", + " Ca = C.sel(time=slice(t0, t1))\n", + " Cd = C.sel(time=slice(t1, t2))\n", + "\n", + " axs[axi][0].plot(Ta.temp, Ta.z, color=colorT, marker='s', ms=4., mfc=colorT)\n", + " axs[axi][0].plot(Td.temp, Td.z, color=colorTd, marker='v', ms=4., mfc=colorTd)\n", + " axt0[axi].plot(Sa.salinity, Sa.z, color=colorS, marker='o', ms=4., mfc=colorS)\n", + " axt0[axi].plot(Sd.salinity, Sd.z, color=colorSd, marker='^', ms=4., mfc=colorSd)\n", + "\n", + " axs[axi][1].plot(Oa.doxygen, Oa.z, color=colorO, marker='s', ms=4., mfc=colorO)\n", + " axs[axi][1].plot(Od.doxygen, Od.z, color=colorOd, marker='v', ms=4., mfc=colorOd)\n", + " axt1[axi].plot(Aa.chlora, Aa.z, color=colorA, marker='o', ms=4., mfc=colorA)\n", + " axt1[axi].plot(Ad.chlora, Ad.z, color=colorAd, marker='^', ms=4., mfc=colorAd)\n", + "\n", + " axs[axi][2].plot(Ba.backscatter, Ba.z, color=colorB, marker='s', ms=4., mfc=colorB)\n", + " axs[axi][2].plot(Bd.backscatter, Bd.z, color=colorBd, marker='v', ms=4., mfc=colorBd)\n", + " axt2[axi].plot(Ca.cdom, Ca.z, color=colorC, marker='o', ms=4., mfc=colorC)\n", + " axt2[axi].plot(Cd.cdom, Cd.z, color=colorCd, marker='^', ms=4., mfc=colorCd)\n", + "\n", + " axs[axi][0].set(ylim=(-200., 0.))\n", + " axs[axi][1].set(ylim=(-200., 0.))\n", + " axs[axi][2].set(ylim=(-200., 0.))\n", + "\n", + " axs[axi][0].set(xlim=(temp_lo, temp_hi))\n", + " axs[axi][1].set(xlim=(do_lo, do_hi))\n", + " axs[axi][2].set(xlim=(bb_lo, bb_hi))\n", + "\n", + "\n", + " axs[0][0].set(title='Temp (black) and Salinity (orange)')\n", + " axs[0][1].set(title='Oxygen (blue) and Chlorophyll (green)')\n", + " axs[0][2].set(title='CDOM (red) and Backscatter (cyan)')\n", + "\n", + " fig.show()\n", + "\n", + " # For additional labeling:\n", + " # axs[iC][0].text(7.4, -14, 'S')\n", + " # axs[iC][0].text(10.2, -14, 'T')\n", + " # axs[iC][1].text(170, -30, 'Chl-A')\n", + " # axs[iC][1].text(300, -150, 'DO')\n", + " # axs[iC][2].text(.0007, -20, 'CDOM')\n", + " # axs[iC][2].text(.0013, -75, 'SCATT') \n", + " \n", + " return\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "# GLODAP Data Loader\n", + "# Requires boto + target directory has write permission\n", + "if False: # disabled once the datasets are loaded into /data/glodap\n", + "\n", + " glodapTemperatureFnm = data_dir + '/glodap/glodap_temperature.nc'\n", + " glodapSalinityFnm = data_dir + '/glodap/glodap_salinity.nc'\n", + " glodapOxygenFnm = data_dir + '/glodap/glodap_oxygen.nc'\n", + "\n", + " import boto\n", + " from boto.s3.key import Key\n", + "\n", + " connection = boto.connect_s3(anon=True)\n", + " bucket = connection.get_bucket('fixthisshouldhavesecurebucketnamehere')\n", + "\n", + " for key in bucket.list(): \n", + " filename = key.name.encode('utf-8')\n", + " if b'glodap' in filename: \n", + " if b'salinity.nc' in filename: \n", + " print ('salinity file is', filename)\n", + " salinityfilename = filename\n", + " if b'temperature.nc' in filename: \n", + " print ('temperature file is', filename)\n", + " temperaturefilename = filename\n", + " if b'oxygen.nc' in filename: \n", + " print('oxygen file is', filename)\n", + " oxygenfilename = filename \n", + "\n", + " k = Key(bucket)\n", + " k.key = salinityfilename\n", + " k.get_contents_to_filename(glodapSalinityFnm)\n", + " k.key = temperaturefilename\n", + " k.get_contents_to_filename(glodapTemperatureFnm)\n", + " k.key = oxygenfilename\n", + " k.get_contents_to_filename(glodapOxygenFnm)\n", + "\n", + " print('\\ndata load complete for glodap')\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "5794aee6-cc2d-4c49-9571-a3bb0d3f524a", + "metadata": {}, + "source": [ + "# Dashboards\n", + "\n", + "temporary notes stash; comments in ***bold italics***.\n", + "\n", + "***Bottom line: This is a great deal of inside baseball.***\n", + "\n", + "\n", + "* URL is [https://qaqc.ooi-rca.net/](https://qaqc.ooi-rca.net/)\n", + "* APL Status Dashboards\n", + " * Notice `ooirsn.uw.edu` is the base URL. `eng.` prefix not working today; Nereus works fine.\n", + " * [Nereus](https://nereus.ooirsn.uw.edu/) Works: Looks like the main operational status dashboard\n", + " * [Nereus: Suspect Instrument List](https://nereus.ooirsn.uw.edu/suspect-instruments) Works.\n", + " * [Nereus M2M Plots](https://nereus.ooirsn.uw.edu/m2m-data-plots) ('Machine 2 Machine' is a legacy term for an API interface I think)\n", + " * [APL Eng dashboard](http://eng.ooirsn.uw.edu/)\n", + " * [APL RealTime Dashboard](http://rtime.ooirsn.uw.edu/)\n", + " * [APL PP-Up](http://sea.ooirsn.uw.edu/power/graphs.html) Tried: Nope. Power graphs?\n", + " * [APL Camera Videos by Day](http://dstill.ooirsn.uw.edu/) Tried: Could not reach\n", + " * [OMS](https://io.ocean.washington.edu/oms_data/) Very down-in-the-weeds engineering data (see profiler summaries, for example)\n", + " * I do not see OrcaSound: Does that still exist?\n", + "* Data: by Site\n", + " * ***English site names would be pleasant***\n", + " * Axial Base is easy enough AXBS but... no profiles; just fixed depth\n", + " * ***Ok a User Manual would be good***\n", + " * AXPS is more the ticket for profiler data\n", + " * Fixed Depths works out of the box: One week of Density Oxygen Salinity Temperature (Density shows tides)\n", + " * ***Is this the shallow profiler platform maybe?***\n", + " * Depth binned\n", + " * ***Standard range ought to be the default for apples to apples slider experience***\n", + " * ***Slider left to right is surface to depth; depth ranges in title (fine print)***\n", + " * ***Multi-sensor (VEL, SPKIR) seems to be folded into the charts; very beta***\n", + " * Chlorophyll is a good example (AXPS) of using the slider to prospect in time with depth\n", + " * Profiles\n", + " * Another nice way to prospect with the slider\n", + " * Daily and Yearly are puzzling; Weekly and Monthly seem more functional\n", + " * ***In weekly mode: How many profiles do we see? Density does not look like 7 x 9 profiles***\n", + " * ***In weekly mode: Is the slider quantized at days to give a moving time window view?***\n", + "* Data: by Platform Type\n", + " * Shallow Profilers\n", + " * Deep Profilers: Anything to be found here???\n", + "* Data Stage 1:\n", + "* Data Stage 2:\n", + "* Data Stage 3:\n", + "* Data Stage 4: Not much here; maybe some HITL stuff?\n", + "\n", + " \n", + "\n", + "\n", + "# sklearn\n", + "\n", + "```\n", + "# NOTE: Using dir() on sklearn and sub-libraries can be confusing. Not everything\n", + "# we want shows up. Left as an exercise: Find out how to find out what sklearn\n", + "# can do. Here follow some puzzling fragments.\n", + "#\n", + "# import sklearn\n", + "# dir(sklearn)\n", + "# dir(sklearn.utils)\n", + "# dir(sklearn.cluster.KMeans)\n", + "#\n", + "# from sklearn.cluster import KMeans\n", + "# kmeans = KMeans() \n", + "```\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8e825810-9842-49e8-9dd7-7714455462fc", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/book/chapters/rob/glodap.ipynb b/book/chapters/glodap.ipynb similarity index 100% rename from book/chapters/rob/glodap.ipynb rename to book/chapters/glodap.ipynb diff --git a/book/chapters/rob/issues.ipynb b/book/chapters/issues.ipynb similarity index 100% rename from book/chapters/rob/issues.ipynb rename to book/chapters/issues.ipynb diff --git a/book/chapters/rob/modis.ipynb b/book/chapters/modis.ipynb similarity index 100% rename from book/chapters/rob/modis.ipynb rename to book/chapters/modis.ipynb diff --git a/book/chapters/rob/modis.py b/book/chapters/modis.py similarity index 100% rename from book/chapters/rob/modis.py rename to book/chapters/modis.py diff --git a/book/chapters/rob/ocean_science.ipynb b/book/chapters/ocean_science.ipynb similarity index 88% rename from book/chapters/rob/ocean_science.ipynb rename to book/chapters/ocean_science.ipynb index e5a58ca..a209ec4 100644 --- a/book/chapters/rob/ocean_science.ipynb +++ b/book/chapters/ocean_science.ipynb @@ -10,106 +10,20 @@ "[Jupyter Book](https://geo-smart.github.io/oceanography/intro.html) and [GitHub repo](https://github.com/geo-smart/oceanography).\n", "\n", "\n", - "This image-includer works locally for jpg, png and svg.\n", "\n", - "\n", - "
\n", - "\"drawing\"\n", - "
\n", - "
\n", - "\n", - " \n", - "



\n", - " \n", - " \n", - "
\n", - "\"drawing\"\n", - "
\n", - "
\n", - "\n", - "



\n", - " \n", - "\n", - "
\n", - "\"drawing\"\n", - "
\n", - "
\n", - " \n", - "

\n", - "\n", - "\n", - "The *figure* and *image* directives work in the Jupyter Book but not locally (yet):\n", - "\n", - " \n", - "

\n", - "\n", - "\n", - "```{figure} ../../img/revelle.jpg\n", + "```{figure} ../img/revelle.jpg\n", "---\n", "height: 300px\n", "name: directive-fig\n", "---\n", "Research Vessel Revelle (Scripps)\n", "```\n", - " \n", - "

\n", - "

\n", - "\n", - "\n", - "```{image} ../../img/revelle.jpg\n", - ":alt: revelle\n", - ":class: bg-primary mb-1\n", - ":width: 500px\n", - ":align: left\n", - "```\n", - "\n", - "

\n", - " \n", - "\n", - " \n", - "```{image} ../../img/use_case_badge.svg\n", - ":alt: use case badge\n", - ":class: bg-primary mb-1\n", - ":width: 500px\n", - ":align: left\n", - "```\n", - " \n", - "\n", - "

\n", - "\n", - " \n", - "```{image} ../../img/dubious.png\n", - ":alt: dubious\n", - ":class: bg-primary mb-1\n", - ":width: 500px\n", - ":align: left\n", - "```\n", - " \n", - "

\n", - "

\n", - "

\n", - "\n", - "\n", - "Here is the `![alt](link)` construct which works locally and in the Book.\n", - "Down side: Renders are actual size.\n", - "\n", - "

\n", - "

\n", - " \n", - "![Revelle](../../img/revelle.jpg)\n", "\n", - "

\n", - "

\n", "\n", - "![Badge](../../img/use_case_badge.svg)\n", + "The main purpose of this chapter is to present the research ideas. A lot of this Jupyter Book \n", + "concerns reproducible methodology so it is a good idea to have some 'Why?' in mind before starting\n", + "in on the What? and the How?\n", "\n", - "

\n", - "

\n", - "\n", - "![Dubious](../../img/dubious.png)\n", - "\n", - "

\n", - "

\n", "\n", "\n", "## Themes\n", @@ -239,9 +153,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Further background: Science and Technical\n", - "\n", - " \n", + "## From Data to Insight\n", + " \n", "### Technical\n", "\n", "#### Visualization\n", @@ -249,15 +162,19 @@ "##### Compressing time as a curtain plot\n", " \n", " \n", - "When the profiler has run for several months we can squeeze the data horizontally to form a curtain. \n", - "These data show variability in the photic zone over several months, for example. The example below\n", + "When the profiler has run for several months we can squeeze the data horizontally in time.\n", + "That is: One profile is a color-coded vertical line. Pressing these together as a time-ordered\n", + "sequence renders as a curtain, hence 'curtain plot'. \n", + "The data show variability in the photic zone over several months, for example. The example below\n", "color-codes chlorophyll concentration.\n", "\n", "\n", - "##### Using motion rendering for three-dimensional charts\n", + "##### Motion rendering for three-dimensional charts\n", + "\n", "\n", "#### Data file format\n", "\n", + "\n", "- NetCDF is the primary data file format\n", " - Consists of a two-level heirarchy\n", " - Top level: Groups (may or may not be present)\n", @@ -266,9 +183,13 @@ " - XArray is the Python library used to parse and manipulate NetCDF data\n", " - The central data structure in XArray is the DataArrays\n", " - DataArrays are often bundled together to form Datasets\n", - " - Both DataArrays and Datasets as objects include parsing and filtering methods\n", - "\n", - "\n", + " - Both DataArrays and Datasets as objects include parsing and filtering methods" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ "### Science\n", "\n", "\n", @@ -317,7 +238,7 @@ "### Metabolic energy for an apex predator\n", "\n", "\n", - "```{figure} ../../img/Sphyrna_mokarran.png.jpg\n", + "```{figure} ../../img/Sphyrna_mokarran.png\n", "---\n", "height: 500px\n", "name: directive-fig\n", @@ -353,7 +274,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 1, "metadata": {}, "outputs": [ { @@ -516,16 +437,13 @@ "\n", "\n", "\n", - "
\n", - "\"drawing\"\n", - "
\n", - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "```{figure} ../img/shallowprofilerinsitu.png\n", + "---\n", + "height: 300px\n", + "name: directive-fig\n", + "---\n", + "Research Vessel Revelle (Scripps)\n", + "```\n", "\n", "\n", "Under normal circumstances\n", @@ -558,6 +476,13 @@ "effectively treat profiles as \"instantaneous\" snapshots of upper water column. " ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "code", "execution_count": null, diff --git a/book/chapters/rob/shallowprofiler.ipynb b/book/chapters/rob/shallowprofiler.ipynb deleted file mode 100644 index 19a0597..0000000 --- a/book/chapters/rob/shallowprofiler.ipynb +++ /dev/null @@ -1,891 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "63f97121-dd06-44b0-9886-e9e996417339", - "metadata": {}, - "source": [ - "# Shallow Profiler\n", - "\n", - "\n", - "[Jupyter Book](https://geo-smart.github.io/oceanography/intro.html), [GitHub repo](https://github.com/geo-smart/oceanography).\n", - "\n", - "\n", - "\n", - "This notebook introduces physical and bio-optical data from the Ocean Observatories \n", - "Initiative (***OOI***) Regional Cabled Array (***RCA***) *Shallow Profiler*, shown below. \n", - "These platforms are anchored to the sea floor by cables. They are positively buoyant\n", - "and are parked at a depth of 200 meters where they continuously record sensor data. \n", - "By means of a cable/winch they regularly profile (sample) the upper 200 meters of the \n", - "water column, hence the name shallow profiler.\n", - "\n", - "\n", - "Some further detail on how data are collected: The bulbous pod in the photo below \n", - "(called the Science Pod or SCIP) is attached to the moored rectangular platform \n", - "by means of the yellow cable. The profiler ascends and then descends nine times per day.\n", - "Multiple instruments are visible, bolted to the SCIP, where each instrument bears\n", - "one or more sensors. Hence the sensors correspond to types of data: Temperature, \n", - "chlorophyll fluorescence and so on. \n", - "\n", - "\n", - "Try 1\n", - "\n", - " \n", - "
\n", - "\"drawing\"\n", - "
\n", - "
\n", - " \n", - " \n", - "Try 2\n", - "\n", - " \n", - "
\n", - "\"drawing\"\n", - "
\n", - "
\n", - "\n", - " \n", - "Try 3\n", - " \n", - "\n", - "
\n", - "\"drawing\"\n", - "
\n", - "
\n", - "\n", - "\n", - "Photo taken by the Remotely Operated Vehicle (ROV) \"Ropos\" at a depth of 200 meters.\n", - "\n", - "### Technical note\n", - "\n", - "The `shallowprofiler_techical.ipynb` notebook goes to some length to sort out the data dictionary for sensors\n", - "and profile metadata use. \n", - "\n", - "## Load profile metadata and build the data dictionary\n", - "\n", - "\n", - "The next step is to build a data dictionary **`d `** with keys corresponding to sensors:\n", - "**`conductivity`, `temperature`, `pco2`** etcetera. Those sensor names are the dictionary\n", - "keys. What are the dictionary values? They are five-tuples indexed like so: \\[0\\], \\[1\\], ..., \\[4\\].\n", - "These correspond to two XArray data arrays, 2 floats, and one string:\n", - "\n", - "\n", - "```\n", - "0: XArray DataArray: sensor data\n", - "1: XArray DataArray: sensor depth (meters, negative down) corresponding to data\n", - "2: float: Default charting lower limit for data\n", - "3: float: Default charting upper limit for data\n", - "4: string: Default chart color e.g. \"blue\"\n", - "```\n", - "\n", - "Note that if the time extent of the data is one month -- say 30 days -- \n", - "a healthy shallow profiler will generate about $9 \\times 30 = 270$ profiles.\n", - "Selecting out time blocks that correspond to these profiles is done using\n", - "the profile metadata, contained in the dataframe called `profiles`. " - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "0dc9ce86-ece0-4a8e-b016-b8604c1c30e2", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "from shallowprofiler import *\n", - "from charts import *\n", - "\n", - "profiles = ReadProfileMetadata()\n", - "\n", - "d = {}\n", - "\n", - "relative_path = './../rca/sensors/data/'\n", - "sitestring = 'osb' # available: osb = Oregon Slope Base\n", - "monthstring = 'jan22' # available: apr21, jul21, jan22\n", - "\n", - "# error: apr21 and jul21 seem to fail on pCO2 despite data files present\n", - "\n", - "def AssembleDataFilename(relative_path, site, instrument, time, sensor): \n", - " return relative_path + site + '_' + instrument + '_' + time + '_' + sensor + '.nc'\n", - "\n", - "def GetSensorTuple(s, f):\n", - " '''\n", - " s is the sensor identifier string like 'temperature'\n", - " f is the source filename like './../data/osb_ctd_jan22_temperature.nc' \n", - " '''\n", - " df_sensor = xr.open_dataset(f)[s]\n", - " df_z = xr.open_dataset(f)['z']\n", - " range_lo = ranges[s][0]\n", - " range_hi = ranges[s][1]\n", - " sensor_color = colors[s]\n", - " return (df_sensor, df_z, range_lo, range_hi, sensor_color)\n", - "\n", - "for sensor in sensors: # sensor is a list of 2 strings [sensor_str, instrument_str]\n", - " f = AssembleDataFilename(relative_path, sitestring, sensor[1], monthstring, sensor[0])\n", - " d[sensor[0]] = GetSensorTuple(sensor[0], f)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "e4ddc842-33a2-4b31-b705-8a01ea9bb1e4", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "[998 values with dtype=float64]\n", - "Coordinates:\n", - " * time (time) datetime64[ns] 2022-01-01T02:16:00 ... 2022-01-31T23:37:00 \n", - "[998 values with dtype=float64]\n", - "Coordinates:\n", - " * time (time) datetime64[ns] 2022-01-01T02:16:00 ... 2022-01-31T23:37:00\n" - ] - } - ], - "source": [ - "# Have a look at the pCO2 DataArray after removing all Attributes\n", - "for a in list(d['pco2'][0].attrs.keys()): del d['pco2'][0].attrs[a]\n", - "for a in list(d['pco2'][1].attrs.keys()): del d['pco2'][1].attrs[a]\n", - "print(d['pco2'][0], d['pco2'][1])" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "8536b017-911e-4d74-ba57-1c4c90d91ba8", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# Start with CTD temperature and salinity\n", - "how_many_charts = 12\n", - "\n", - "# quick check: use d['temperature'].z.plot()\n", - "profile_list = [n for n in range(how_many_charts)]" - ] - }, - { - "cell_type": "markdown", - "id": "560671cb-e1e3-4fbd-84c5-3c931ed9f48f", - "metadata": {}, - "source": [ - "#### Using the ChartTwoSensors() function\n", - "\n", - "\n", - "The following cells create plots for many sensor types using the ChartTwoSensor() comparative chart\n", - "generator. The passed arguments make use of the data dictionary d{} established above. The keys are\n", - "the short version sensor names such as 'do' and '412nm' and 'nitrate'. The values are 5-ples so they\n", - "are indexed as \\[0\\], \\[1\\], ..., \\[4\\]:\n", - "\n", - "Data dictionary value = (\n", - " DataArray: sensor data values, dimension = 'time' \\[0\\]\n", - " DataArray: sensor depths z, dimension = 'time' \\[1\\] \n", - " low-end expected data range \\[2\\]\n", - " high-end expected data range \\[3\\]\n", - " color for this sensor \\[4\\] \n", - " )\n", - " \n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "049d4cff-b1d2-4152-a4ba-41e2891b050d", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Attempting 12 charts\n", - "\n" - ] - }, - { - "data": { - "image/png": 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qRx55JEcxF5lTdatWraJUqVJ07dqVu3fvmqYGDRrg5+eX6Y6XBg0aUKFCBdPzhx9+GNAOc99/rYhx+alTpzK957PPPmv2vE+fPgCmw36rVq3CYDDw3HPPmcXk5+dH/fr1M8VUunRpi9du/PPPP/Tp0wc/Pz8cHBxwcnIiNDQU0K4TyA9PPfWU2fOc1iWjuLg4DAYDPj4+Fl/v1q0bTk5OpucnTpzg6NGjpn18/3t26tSJ+Ph4/vrrL0Db38bDxEYODg706tUrN1W36ObNm+zcuZOnn34aT09Ps/cJDw/n7NmzpnjatWvH7du32b59O6Cdfmvfvj2PP/646fCy8RTU448/DsD27du5cuUK/fr1M6trWloaHTt2ZPfu3ZlO02RsI2tatmzJxIkTmTFjBi+99BLPPfccAwcONCtz//vevXvX7BTinDlzaNSoEa6urjg6OuLk5MSGDRsyff7Kli3L0qVL2bdvHy1atKBy5crMmTMn2/iaNWvG/Pnz+eCDD9ixY4fV06zly5fn3Llz2W4zOjqabt26UbZsWdPfTd++fUlNTeXYsWNmZf38/GjWrJnZsnr16pn93W/atInatWtTv359s3LGv/vslC1blt9//53du3czefJkunfvzrFjxxgzZgx169Y1O32UH3/znTt3xsHBwax+YPm7zRZVq1alS5cuzJo1y/RZ+e6777h8+TLDhg2zuq7xVFr58uXNlm/fvp3ExESGDh1q9ZqTl156CYCvvvrKtOzzzz+nbt26PPbYY6ZlFy5c4MUXX6RSpUqmz21gYCBgeT9269bN7Hm9evW4c+cOFy5csFqfvJDVZysxMZF9+/ZlWn7//gkMDKRFixam356cfH8a5eT7pHr16nz11VcsX76cLl260KpVq0w3JVn7Pvnhhx9o2bIlnp6epnaZO3dupjZxcXHh+++/5/LlyzRq1AilFIsXLzb7HFvSrFkzfvvtN0aPHs3mzZu5fft2lmVt/T65X5FJnP7991+uXbuGs7MzTk5OZtP58+czndMuU6aM2XNnZ2ery+/cuWO23NHRkbJly5ot8/PzA7RrGYwxKaXw9fXNFNOOHTsyxeTv75+pXjdu3KBVq1bs3LmTDz74gM2bN7N7926WLVsGYPUD8SAyxpLTumR0+/ZtnJycsvzAW3o/0O58yPh+Q4cOBTC95+XLl037/n6WluXW1atXUUpZbKOAgABTHIDpGrXIyEhOnDhBbGysKXHauXMnN27cIDIykqpVq1KlShWz+j799NOZ6vvRRx+hlOLKlStm72spFmueffZZnJ2dSUpKYtSoUWavxcbGZnrfLVu2ADB9+nReeuklHnnkEX766Sd27NjB7t276dixo8XP3yOPPELt2rW5c+cOL730Eh4eHtnGtnTpUvr168fXX39NSEgIZcqUoW/fvpw/fz5TWVdX12w/96dPn6ZVq1acO3eOTz/91JSwGK8DzLh+xr9l0L607y+XV5+zJk2a8NZbb/HDDz8QFxfHG2+8QWxsrOkC8fz6m89YR+PNFw/yHfLaa69x/Phx0z8EX3zxBSEhITRq1Mjqesb3dHV1NVtuvB41uwvUfX196dWrF//9739JTU3lwIED/P7772YJW1paGh06dGDZsmW8+eabbNiwgV27dpmu67JU7/zYR7ay9tkyfrdkV/b+3x6w7fvTKKffJ507d8bX15c7d+4wfPjwTN/tGd93wYIFACxbtoyePXtSoUIFFi5cSFRUFLt372bAgAGZfmdBS9JatWrFnTt3ePbZZ22K87PPPuOtt95i+fLltGnThjJlytCjRw+OHz+eqawt3ycZ2c1dddnx8fGhbNmyWd6hUbJkyTx9v7t373L58mWzPzTjl7xxmY+PDwaDgd9//93iHWIZl1n6D2vjxo3ExcWxefNm03+cANeuXbM5VuOXU8aL/TL+MVqLJad1ycjHx4fk5GRu3rxp8YfU0vsBjBkzJsu78GrWrAlo+9vSD6ylZblVunRpSpQoYfHCR+N/z8aYnZ2defTRR4mMjKRixYr4+flRt25dqlatCmgXeG7YsIEuXbqYtmFcd+bMmVneIXL/ETWw/HnJSmpqKs8++yylS5fGxcWFgQMH8scff5j+MQgICGD37t1m6xj378KFC2ndujWzZ882ez2ri6IjIiI4ePAgjRs3ZuzYsXTp0sVU96z4+PgwY8YMZsyYwenTp1mxYgWjR4/mwoULmf6mr1y5QlBQkNXtLV++nJs3b7Js2TLTEQaAmJgYq+tZkx+fMycnJyIiIvjkk084dOgQkDd/8wWlbdu21KlTh88//xxPT0/27dvHwoULs13P+HnP+M9AuXLlADh79my223jttdf49ttv+eWXX1izZg2lSpUyOwtw6NAh9u/fz/z58+nXr59p+YkTJ2yq24O6/3v3/u/HrP7JtPbZypjQZVX2/t8esO370yind9AZb4yoXbs2r776Kq1ataJ06dKm1zN+nxj/SVy4cCFVqlRh6dKlZu+Z1cXoX3/9Nb/++ivNmjXj888/p1evXjzyyCNWY/Pw8GD8+PGMHz+ef//913T0qWvXrhw9etSs7JUrV7I8E5KVIpM4denShSVLlpCamprtTs0rixYt4tVXXzU9/+677wBMd7R06dKFyZMnc+7cOXr27Jmr9zB+sDImJv/9738zlb3/vyM3NzfTcl9fX1xdXTlw4IBZ+Yx3MVjzoHWpVasWoHV4ZzxFYE3NmjV56KGH2L9/Px9++KHVsm3atGHFihX8+++/puQiNTWVpUuX5jjOrHh4ePDII4+wbNkypk6datq/aWlpLFy4kIoVK1KjRg1T+ccff5wxY8ZQsmRJ0+k4Dw8PmjdvzsyZM4mLizMtB+1UWqlSpThy5Ei2pzlyIyIigt9//51169bh4eHBY489xqhRo/j0008BLdlr0qSJxXUNBkOmz9+BAweIioqiUqVKZsvXr1/PpEmTePfdd3n99ddp0KABvXr1MkvSslO5cmWGDRvGhg0b+OOPP8xeu3v3LmfOnKFTp05Wt2Hp70YpZXZqJ6fatGnDlClT2L9/v9kpFePffXbi4+Mt/rdsPD1hPHKZk7/5gpDxyFtGr776Ki+++CIJCQn4+vryzDPPZLvNwMBA3NzcMt0d2aJFC7y9vZkzZw69e/e2+mPeuHFjWrRowUcffcShQ4d44YUXzP4p03s/GpP7AwcO0LRpU9PyjHedGh0+fNjiZ6tkyZKZjuAtXryY4cOHm+p46tQptm/fTt++fYGcfX/mxtdff83ChQv55ptvCA0NpVGjRjz//PMsX77cVMba94mzs7NZ254/f97i79HBgwd59dVX6du3L1999RUtWrSgV69eREdHmyVp1vj6+tK/f3/279/PjBkzMnXd8s8//1CnTh0ba64pMolT7969WbRoEZ06deK1116jWbNmODk5cfbsWTZt2kT37t158skn8+z9nJ2dmTZtGjdu3KBp06Zs376dDz74gCeeeIJHH30U0H4MX3jhBZ5//nn27NnDY489hoeHB/Hx8Wzbto26deuaztVnpUWLFpQuXZoXX3yRiIgInJycWLRoEfv3789Utm7dugB89NFHPPHEEzg4OFCvXj2cnZ157rnn+Oabb6hWrRr169dn165dNn/h50VdjMnkjh07bEqcQPuCe+KJJwgLC6N///5UqFCBK1eu8Oeff7Jv3z5++OEHAN59911WrFhB27ZtGTt2LO7u7nzxxRcWb92eP38+zz//PPPmzctxh36TJk2iffv2tGnThpEjR+Ls7MysWbM4dOgQixcvNvsiaNeuHampqWzYsMF0iBq0hCoiIgKDwWB2PZunpyczZ86kX79+XLlyhaeffpry5ctz8eJF9u/fz8WLFzMd8bGVMZl57733aNeunakuI0eOpHXr1tn+XXTp0oX333+fiIgIQkND+euvv5gwYQJVqlQx614hPj6e5557jtDQUCIiIihRogRLly7lscce480332TGjBkWt5+QkECbNm3o06cPtWrVomTJkuzevZs1a9Zk+m/5wIED3Lp1izZt2liNuX379jg7O/N///d/vPnmm9y5c4fZs2dz9epVG/aYZa+//jrffPMNnTt35oMPPsDX15dFixZl+g82K2FhYVSsWJGuXbtSq1Yt0tLSiImJYdq0aXh6evLaa68BOfubLwh169ZlyZIlLF26lKpVq+Lq6mr6rgF47rnnGDNmDFu3buXdd9+1KUF2dna22B2Cp6cn06ZNY9CgQTz++OMMHjwYX19fTpw4wf79+zPdmv7aa6/Rq1cvDAaD6RSUUa1atahWrRqjR49GKUWZMmVYuXKl2W3suTFu3DjGjx/Ppk2brPbQ3qlTJ8qUKcPAgQOZMGECjo6OzJ8/nzNnzlgsHxAQQLdu3Rg3bhz+/v4sXLiQ9evX89FHH2Xqo+3ChQs8+eSTDB48mISEBCIiInB1dWXMmDGmMrZ+f+aUMZnp16+fqePIuXPn8vTTTzNjxgxef/11q+t36dKFZcuWMXToUJ5++mnOnDnD+++/j7+/v9mptJs3b9KzZ0+qVKnCrFmzcHZ25vvvv7eYpGX0yCOP0KVLF+rVq0fp0qX5888/+fbbbwkJCTHbl5cvX+b48eO88sorOdsJObqUvBDJeFedUtrtqFOnTlX169dXrq6uytPTU9WqVUsNGTJEHT9+3FQuMDBQde7cOdM2AfXyyy+bLTPekXL/LaHG9z5w4IBq3bq1cnNzU2XKlFEvvfSSunHjRqbtfvPNN+qRRx5RHh4eys3NTVWrVk317dtX7dmzx1QmNDRU1a5d22Jdt2/frkJCQpS7u7sqV66cGjRokNq3b1+mO5OSkpLUoEGDVLly5ZTBYDC7cyMhIUENGjRI+fr6Kg8PD9W1a1cVGxub5V11Fy9etBiLLXXJSqtWrVSnTp3Mllnav/fbv3+/6tmzpypfvrxycnJSfn5+qm3btmrOnDlm5f744w/VvHlz5eLiovz8/NSoUaPUl19+menulZkzZypArVmzxmqsWd2J+Pvvv6u2bdua6t+8eXO1cuXKTOunpaUpHx8fBahz586ZxUn6XTGWbNmyRXXu3FmVKVNGOTk5qQoVKqjOnTurH374wVQmuza6X1xcnCpfvrxq27at6S4aY3xdu3ZVpUqVyvauw6SkJDVy5EhVoUIF5erqqho1aqSWL1+u+vXrpwIDA5VS2p0xoaGhytfXV8XHx5ut//HHHytA/fzzz0qpzPv2zp076sUXX1T16tVTXl5eys3NTdWsWVNFRESY3eGqlFLvvfee8vHxMd2xaM3KlStN3wUVKlRQo0aNUr/99lumO+Cy+tu7v35GR44cUe3bt1eurq6qTJkyauDAgeqXX36x6a66pUuXqj59+qiHHnpIeXp6KicnJ1W5cmUVHh6ujhw5YlbW1r/5nNxVZ+lvLKu///vFxsaqDh06qJIlS5q6wciof//+ytHR0exO5ezMnTtXOTg4qLi4uEyvrV69WoWGhioPDw9TVyMfffRRpnJJSUnKxcVFdezY0eJ7GNurZMmSqnTp0uqZZ55Rp0+ftvl7z9IdcCNGjFAGg0H9+eef2dZx165dqkWLFsrDw0NVqFBBRUREqK+//triXXWdO3dWP/74o6pdu7ZydnZWQUFBavr06WbbM95V9+2336pXX31VlStXTrm4uKhWrVpZ/A625fvTWEfjLf/W3LhxQ9WqVUsFBwdn+tt8+eWXlZOTU6a7Uy2ZPHmyCgoKUi4uLurhhx9WX331VabP3nPPPafc3d3V4cOHzdb94YcfFGB2N2fG9hw9erRq0qSJKl26tHJxcVFVq1ZVb7zxRqYuMubOnaucnJyy7U4nI7tNnPRkKWkT2fvxxx+Vg4NDjr5c89ozzzyjmjRpotv7i9y7e/euCgoKUm+//bbeoYj7JCUlKX9/f7P+k2xx+/ZtVa5cuUxdEuTEihUrFKB+/fXXXG8jp5o2baqefvrpPN1mVv/MZ2RMnO7/R0rk3qOPPqr69OmT4/WKzF11ovD7z3/+Q9OmTU09ABc0pRSbN29m4sSJury/eDALFy7kxo0bme4IFPq4ePEi27Zt46WXXuLff/9l9OjROVrf1dWV8ePHM336dJt6RL/fkSNH+O2330w9UD/xxBM5Wj+3EhMT2b9/PxMmTCiQ9xP5Z+vWrezevZv3338/x+sWmWucROFnMBj46quvWLFiBWlpaQU+0K/BYCiQ/lhE/khLS2PRokWUKlVK71AE2qDFzz//PP7+/syaNSvbLggseeGFF7h27Rr//POP2XVT2Rk6dCh//PEHjRo1YsGCBQU2ppqXl1eWd38J+3L58mX+97//ZXvHryUGpe7rlUoIIYQQQmRJTtUJIYQQQthIEichhBBCCBtJ4iSEEEIIYSNJnIQQQgghbCSJkxBCCCGEjewucZo9ezb16tXDy8sLLy8vQkJC+O2330yvL1u2jLCwMNOgtLYO6vnTTz8RHByMi4sLwcHB/Pzzz/lUg9zLj7rPnz8fg8GQabI0SrWerNU9JSWFt956i7p16+Lh4UFAQAB9+/Y1Db5rjb23e27rbi/tDtl/7seNG0etWrXw8PCgdOnSPP744+zcuTPb7dp720Pu6m4vbZ9d3e83ZMgQDAZDlsP63M8e2h3yp/5Fpe379++fqQ5ZDY5+v7xqe7tLnCpWrMjkyZPZs2cPe/bsoW3btnTv3p3Dhw8D2vg2LVu2ZPLkyTZvMyoqil69ehEeHs7+/fsJDw+nZ8+eNn35FqT8qDtofZPEx8ebTcaRvQsLa3W/desW+/bt47333mPfvn0sW7aMY8eO0a1bN6vbLArtntu6g320O2T/ua9Rowaff/45Bw8eZNu2bQQFBdGhQwcuXryY5TaLQttD7uoO9tH22dXdaPny5ezcudM0SLI19tLukD/1h6LT9h07djSrw+rVq61uM0/bPq+7MNdD6dKl1ddff222zDg+U3R0dLbr9+zZM9NYR2FhYap37955GWa+eNC6z5s3T3l7e+dPcPnMUt2Ndu3apQB16tSpLNcvau1uZEvd7bndlbJe/4SEBAWoyMjILNcvqm1vS93tue0z1v3s2bOqQoUK6tChQyowMNBs/DJL7LndlXrw+heVtu/Xr5/q3r17jtbPy7a3uyNO90tNTWXJkiXcvHmTkJCQXG8nKiqKDh06mC0LCwtj+/btDxpivsmrugPcuHGDwMBAKlasSJcuXYiOjs6jKPOHLXVPSEjAYDBY7WW6qLa7LXUH+2t3yL7+ycnJfPnll3h7e1O/fv0st1MU297WuoP9tb2luqelpREeHs6oUaOoXbu2Tduxx3aHvKs/FI22B9i8eTPly5enRo0aDB48ONtRIfK07XOcahUCBw4cUB4eHsrBwUF5e3tbHOAxJ0ddnJyc1KJFi8yWLVq0SDk7O+dVyHkmr+seFRWlvv32WxUTE6O2bt2qnnrqKeXm5qaOHTuWD9E/GFvqrpQ2eGjjxo3Vs88+a3V7Ra3dlbK97vbU7kplX/+VK1cqDw8PZTAYVEBAgNq1a5fV7RWlts9p3e2p7a3V/cMPP1Tt27dXaWlpSill0xEXe2p3pfK+/kWl7ZcsWaJWrVqlDh48qFasWKHq16+vateure7cuZPl9vKy7e0ycUpKSlLHjx9Xu3fvVqNHj1Y+Pj7q8OHDZmVymjh99913ZssWLlyoXFxc8jLsPJHXdc8oNTVV1a9fX73yyit5FHHesaXuycnJqnv37qphw4YqISHB6vaKWrvnpO4ZFeZ2Vyr7+t+4cUMdP35cRUVFqQEDBqigoCD177//Zrm9otT2Oa17RoW57bOq+549e5Svr686d+6cqaytiZO9tLtSeV//jOyx7S2Ji4tTTk5O6qeffspye3nZ9naZOGXUrl079cILL5gty0nyUKlSJTV9+nSzZdOnT1eVK1fOyzDzxYPW3ZJBgwZlOhdcGGWse3JysurRo4eqV6+eunTpUrbrF6V2z2ndLbGXdlfK8uf+ftWrV1cffvhhlq8XpbbPKLu6W2IvbW+s+yeffKIMBoNycHAwTYAqUaKECgwMzHJ9e253pR68/pbYW9tnpXr16mry5MlZvp6XbW/X1zgZKaUeaMTqkJAQ1q9fb7Zs3bp1tGjR4kFDy3cPWndL24uJicHf3z/Ptplf7q97SkoKPXv25Pjx40RGRlK2bNls1y8q7Z6bulvanr20O2T/uc/u9aLS9rl53VJ5e2l7Y93Cw8M5cOAAMTExpikgIIBRo0axdu3aLNe353aHB6+/pe3ZW9tbcvnyZc6cOWO1Hnna9jlOtXQ2ZswYtXXrVnXy5El14MAB9fbbb6sSJUqodevWKaWUunz5soqOjla//vqrAtSSJUtUdHS0io+PN20jPDxcjR492vT8jz/+UA4ODmry5Mnqzz//VJMnT1aOjo5qx44dBV4/a/Kj7uPGjVNr1qxRf//9t4qOjlbPP/+8cnR0VDt37izw+lljre4pKSmqW7duqmLFiiomJkbFx8ebpqSkJNM2imK757bu9tLuSlmv/40bN9SYMWNUVFSUio2NVXv37lUDBw5ULi4u6tChQ6ZtFMW2z23d7aXts/u+y8jSqSp7bXel8qf+RaHtr1+/rkaMGKG2b9+uTp48qTZt2qRCQkJUhQoVVGJiomkb+dn2dpc4DRgwQAUGBipnZ2dVrlw51a5dO7MP0rx58xSQaYqIiDCVCQ0NVf369TPb7g8//KBq1qypnJycVK1atayeK9VLftT99ddfV5UrVzZts0OHDmr79u0FWCvbWKu78dSkpWnTpk2mbRTFds9t3e2l3ZWyXv/bt2+rJ598UgUEBChnZ2fl7++vunXrlukC6aLY9rmtu720fXbfdxlZShzstd2Vyp/6F4W2v3XrlurQoYMqV66ccnJyUpUrV1b9+vVTp0+fNttGfra9QSmlcn6cSgghhBCi+CkS1zgJIYQQQhQESZyEEEIIIWwkiZMQQgghhI0kcRJCCCGEsJEkTkIIIYQQNpLESQghhBDCRpI4CSGEEELYqFgkTklJSYwbNy5PhyaxF8W57lC86y91L551h+Jdf6l78aw7FFz97aYDzFmzZvHxxx8THx9P7dq1mTFjBq1atbJp3cTERLy9vUlISMDLyyufIy1cinPdoXjXX+pePOsOxbv+UvfiWXcouPrbxRGnpUuX8vrrr/POO+8QHR1Nq1ateOKJJzh9+rTeoQkhhBCiGLGLxGn69OkMHDiQQYMG8fDDDzNjxgwqVarE7Nmz9Q5NCCGEEMWIo94BZCc5OZm9e/cyevRos+UdOnRg+/btFtdJSkoyO8d55coVAM6cOYO3t3f+BVsIXb9+HYBz586RmJioczQFrzjXX+pePOsOxbv+UvfiWfe0tDT+/vtvAPL9CqRcDQ1cgM6dO6cA9ccff5gtnzhxoqpRo4bFdSIiIrIcMV4mmWSSSSaZZCq604ULF/I1Lyn0R5yMDAaD2XOlVKZlRmPGjGH48OGm52fOnKFOnTrs2rULf3//fI1TCCGEEAUrPj6eZs2acfjwYXx8fPL1vQp94uTj44ODgwPnz583W37hwgV8fX0truPi4oKLi4vpufH0nL+/PxUrVsy/YIUQQgihGy8vrywPquSVQn9xuLOzM40bN2b9+vVmy9evX0+LFi10ikoIIYQQxVGhP+IEMHz4cMLDw2nSpAkhISF8+eWXnD59mhdffFHv0IQQQghRjNhF4tSrVy8uX77MhAkTiI+Pp06dOqxevZrAwEC9QxNCCCFEMWIXiRPA0KFDGTp0qN5hCCGEEKIYK/TXOImi7cKFCwwZMoTKlSvj4uKCn58fYWFhREVFmcoYDAaWL1+eJ+8XGxuLwWAgJibGarnNmzdjMBi4du1aptcaNGjAuHHjTGWsTfPnzwfgp59+onXr1nh7e+Pp6Um9evWYMGGCqY8xWyxbtoz27dtTrlw5vLy8CAkJYe3atZnK/fTTTwQHB+Pi4kJwcDA///yz2euTJk2iadOmlCxZkvLly9OjRw/++usv0+spKSm89dZb1K1bFw8PDwICAujbty9xcXHZxnj16lXCw8Px9vbG29ub8PDwTPvwtddeo3Hjxri4uNCgQQOb679lyxYaN26Mq6srVatWZc6cOWavHz58mKeeeoqgoCAMBgMzZsywabsHDx4kNDQUNzc3KlSowIQJEzL1A5Pde2d05coVXnnlFWrWrIm7uzuVK1fm1VdfJSEhwVQmNjaWgQMHUqVKFdzc3KhWrRoREREkJydnG3N2bQzaMFVVqlTB1dWVxo0b8/vvv9u0P4QQ1kniJHT11FNPsX//fhYsWMCxY8dYsWIFrVu3zlFCYStbfpByokWLFsTHx5umnj170rFjR7NlvXr14p133qFXr140bdqU3377jUOHDjFt2jT279/Pt99+a/P7bd26lfbt27N69Wr27t1LmzZt6Nq1K9HR0aYyUVFR9OrVi/DwcPbv3094eDg9e/Zk586dpjJbtmzh5ZdfZseOHaxfv567d+/SoUMHbt68CcCtW7fYt28f7733Hvv27WPZsmUcO3aMbt26ZRtjnz59iImJYc2aNaxZs4aYmBjCw8PNyiilGDBgAL169bK57idPnqRTp060atWK6Oho3n77bV599VV++uknU5lbt25RtWpVJk+ejJ+fn03bTUxMpH379gQEBLB7925mzpzJ1KlTmT59eo7eO6O4uDji4uKYOnUqBw8eZP78+axZs4aBAweayhw9epS0tDT++9//cvjwYT755BPmzJnD22+/bTVmW9pYhqkSIh/lay9RhcSZM2cUoM6cOaN3KOI+V69eVYDavHlzlmUCAwPNOjYLDAxUSil14sQJ1a1bN1W+fHnl4eGhmjRpotavX59p3ffff1/169dPeXl5qb59+2bqKC00NNTi+27atEkB6urVq5leq1+/voqIiMi0vF+/fqp79+5my3bu3KkANWPGjCz3wYMIDg5W48ePNz3v2bOn6tixo1mZsLAw1bt37yy3ceHCBQWoLVu2ZFlm165dClCnTp3KssyRI0cUoHbs2GFaFhUVpQB19OjRTOUjIiJU/fr1s9ze/d58801Vq1Yts2VDhgxRzZs3t1g+MDBQffLJJ9lud9asWcrb21vduXPHtGzSpEkqICBApaWl5eq9s/L9998rZ2dnlZKSkmWZKVOmqCpVqljdji1t3KxZM/Xiiy+alalVq5YaPXp0jmIWwl4U5O+8HHESuvH09MTT05Ply5ebDZFzv927dwMwb9484uPjTc9v3LhBp06diIyMJDo6mrCwMLp27ZrpP+qPP/6YOnXqsHfvXt577z127doFQGRkJPHx8SxbtiwfawiLFi3C09Mzy+vzSpUqBdw7hbh582abt52Wlsb169cpU6aMaVlUVBQdOnQwKxcWFpbl8ESA6fTR/duxVMZgMJjitSQqKgpvb28eeeQR07LmzZvj7e1t9f1tkVW99uzZQ0pKygNtNzQ01Kzft7CwMOLi4oiNjbX5vY2nbY3rWGIcsd3RMetLSxMSEjK1Q1BQEOPGjTOL2VobG4epyljG2jBVQgjbSeIkdOPo6Mj8+fNZsGABpUqVomXLlrz99tscOHDAVKZcuXKAlmD4+fmZntevX58hQ4ZQt25dHnroIT744AOqVq3KihUrzN6jbdu2jBw5kurVq1O9enXT+mXLlsXPz89qspAXjh8/TtWqVXFycrJazsnJyXQ9jK2mTZvGzZs36dmzp2nZ+fPnM3UM6+vrm6kDWSOlFMOHD+fRRx+lTp06FsvcuXOH0aNH06dPH7y8vLKM5/z585QvXz7T8vLly2f5/rbKql53797l0qVLeb5d42u2vre7uzs1a9bMsp0vX77M+++/z5AhQ7KM5e+//2bmzJmZulmpVq2aWU/I2bXxpUuXSE1NzdHnQAhhO0mchK6eeuop4uLiWLFiBWFhYWzevJlGjRqZLqrOys2bN3nzzTcJDg6mVKlSeHp6cvTo0UxHnJo0aZKP0WdPWRka6H4VKlTg6NGjNGvWzKbtLl68mHHjxrF06dJMyUpOhicaNmwYBw4cYPHixRZfT0lJoXfv3qSlpTFr1izT8hdffNF0xNDT0zPL987u/S25f7v3JxGW6pXVe+aELdvNrkyzZs04evQoFSpUyLT9xMREOnfuTHBwMBERERZjiIuLo2PHjjzzzDMMGjTI7LUNGzYwbNiwbGPOuCwnnwMhhO3spjsCUXS5urrSvn172rdvz9ixYxk0aBARERH0798/y3VGjRrF2rVrmTp1KtWrV8fNzY2nn3460wXgHh4euYrJeGQlISEh0+mpa9eumYbxyU6NGjXYtm0bKSkp2R51stXSpUsZOHAgP/zwA48//rjZa35+fjYPT/TKK6+wYsUKtm7danEoopSUFHr27MnJkyfZuHGj2dGmCRMmMHLkyEzv/e+//2bazsWLF7McHsmS++94NL5nVvVydHSkbNmyNm87o6y2C/eOPD3Ie1+/fp2OHTvi6enJzz//bPEzEBcXR5s2bUyd++Y2ZmO8uRmmSghhOzniJAqd4OBg0x1eoJ3GSk1NNSvz+++/079/f5588knq1q2Ln5+f1etLjJydnQEybS+jhx56iBIlSpiuqTKKj4/n3Llz1KxZ06a69OnThxs3bpgdrbmfpe4OrFm8eDH9+/fnu+++o3PnzpleDwkJyTQ80bp168yGJ1JKMWzYMJYtW8bGjRupUqVKpu0Yk6bjx48TGRmZKUEoX7686fRn9erVTe+dkJBguo4MYOfOnSQkJORoeKT7t2s8mpZVvZo0afJACWlISAhbt241S7jXrVtHQEAAQUFBD/TeiYmJdOjQAWdnZ1asWIGrq2umMufOnaN169Y0atSIefPmUaJE9l/J2bWxDFMlRD7L98vPCwG5q65wunTpkmrTpo369ttv1f79+9U///yjvv/+e+Xr66sGDBhgKvfQQw+pl156ScXHx6srV64opZTq0aOHatCggYqOjlYxMTGqa9euqmTJkuq1114zrWfpzqqUlBTl5uamPvjgA3X+/Hl17dq1LON76aWXVOXKldXPP/+s/vnnH7Vt2zYVGhqq6tata/HOKEt31Sml3ZXl4OCgRo0apbZv365iY2NVZGSkevrpp0132509e1bVrFlT7dy5M8t4vvvuO+Xo6Ki++OILFR8fb5rur8Mff/yhHBwc1OTJk9Wff/6pJk+erBwdHc3udHvppZeUt7e32rx5s9l2bt26ZdpH3bp1UxUrVlQxMTFmZZKSkrKMTymlOnbsqOrVq6eioqJUVFSUqlu3rurSpYtZmePHj6vo6Gg1ZMgQVaNGDRUdHa2io6Otbvuff/5R7u7u6o033lBHjhxRc+fOVU5OTurHH380lUlKSjJty9/fX40cOVJFR0er48ePZ7nda9euKV9fX/V///d/6uDBg2rZsmXKy8tLTZ06NUfvvXPnTlWzZk119uxZpZRSiYmJ6pFHHlF169ZVJ06cMNuHd+/eVUopde7cOVW9enXVtm1bdfbsWbMy92vbtq2aOXOm6bktbbxkyRLl5OSk5s6dq44cOaJef/115eHhoWJjY7PcF0LYs4L8nZfESejmzp07avTo0apRo0bK29tbubu7q5o1a6p3333X9COulFIrVqxQ1atXV46OjqbuCE6ePKnatGmj3NzcVKVKldTnn3+uQkNDs02clFLqq6++UpUqVVIlSpTIsjsCY3wTJkxQDz/8sHJzc1OBgYGqf//+mX7YjLJKnJRSaunSpeqxxx5TJUuWVB4eHqpevXpqwoQJpu4ITp48qQC1adOmLOMJDQ3N1J0CoPr162dW7ocfflA1a9ZUTk5OqlatWuqnn34ye93SNgA1b948s1gsTdbiU0qpy5cvq2effVaVLFlSlSxZUj377LOZulzIqh4nT560uu3Nmzerhg0bKmdnZxUUFKRmz55t9npWcVtrY6WUOnDggGrVqpVycXFRfn5+aty4caauCGx9b2P3FcY6GJ9bq+e8efOyLHO/wMDATN1fZNfGSin1xRdfqMDAQOXs7KwaNWpktbsJIexdQf7OG5TK0EVuEXT27FkqVarEmTNnLF7LIYQQQgj7VZC/83KNkxBCCCGEjSRxEkIIIYSwkSROQgghhBA2ksRJCCGEEMJGkjgJIYQQQthIEichhBBCCBtJ4iSEEEIIYSNJnIQQQgghbCSJkxBCCCGEjSRxEkIIIYSwkSROQgghhBA2ksRJCCGEEMJGjnoHIERxcQS4A1QFSukbin6OHIGkJKhWDby89I5GCCFyTI44CVFAhgKNgXV6B6KnceOgUSOYN0/vSIQQIlckcRKigNxOn7vpGoXOzpzR5hUr6huHEELkkiROQhQQY+LkqmsUOjMmTpUq6RuHEELkkiROQhSQO+nzYnvE6e5diI/XHkviJISwU5I4CVFAiv0Rp/h4SEsDJyfw9dU7GiGEyBVJnIQoIMYjTsU2cTp7Vpv7+0MJ+eoRQtgn3b69YmNjGThwIFWqVMHNzY1q1aoRERFBcnKyWTmDwZBpmjNnjk5RCyFyzdtbm1+5oh15EkIIO6RbP05Hjx4lLS2N//73v1SvXp1Dhw4xePBgbt68ydSpU83Kzps3j44dO5qeexu/gIWwIy7p8yRdo9BRjRrg7Aw3bkBsLFStqndEQgiRY7olTh07djRLhqpWrcpff/3F7NmzMyVOpUqVws/Pr6BDFCJPGROnZKulijBHR6hdG6Kj4cABSZyEEHapUF1okJCQQJkyZTItHzZsGD4+PjRt2pQ5c+aQJof5hR0y/pdyV9codFalijY/d07fOIQQIpcKzZArf//9NzNnzmTatGlmy99//33atWuHm5sbGzZsYMSIEVy6dIl33303y20lJSWRlHTvhMj169fzLW4hbGVM9wvVfysFLSVFm7u4WC8nhBCFVJ5/h48bN87iBd33T3v27DFbJy4ujo4dO/LMM88waNAgs9feffddQkJCaNCgASNGjGDChAl8/PHHVmOYNGkS3t7epik4ODivqylEjqWmzx10jUJnxn9oJHESQtipPD/iNGzYMHr37m21TFBQkOlxXFwcbdq0ISQkhC+//DLb7Tdv3pzExET+/fdffLPoC2bMmDEMHz7c9PzcuXOSPAndyREn7iVOzs76xiGEELmU54mTj48PPj4+NpU9d+4cbdq0oXHjxsybN48SNvTtEh0djaurK6VKlcqyjIuLCy73/UebmJhoUzxC5Cc54oQccRJC2D3drnGKi4ujdevWVK5cmalTp3Lx4kXTa8Y76FauXMn58+cJCQnBzc2NTZs28c477/DCCy+YJUZC2AOVPjfoGoXOjDd2SAeYQgg7pVvitG7dOk6cOMGJEyeomGGkdKW0nxgnJydmzZrF8OHDSUtLo2rVqkyYMIGXX35Zj5CFeCDGhElZLVXEGf/hSS62nTIIIeycbolT//796d+/v9UyGft6EsKeGY+xFOvONIyJU1Kx7QZUCGHn5Hi5EAVEjjghiZMQwu5J4iREAZGLw7l3jZNDsd4LQgg7JomTEAXEmDgV6z86YweYTk76xiGEELlUrL/DhShIcsQJuJs+4IxjoRm0QAghckQSJyEKiCROSOIkhLB7kjgJUUCMd9MV636cUtPTR0Ox3gtCCDsmiZMQBcQ1fV6s7ycrXVqbX72qbxxCCJFLkjgJUUDc0ue3dY1CZ+XLa/MLF/SNQwghckkSJyEKiHv6/JauUeisXDltLomTEMJOSeIkRAExJk5yxAm4b2xKIYSwJ5I4CVFAjNc4FevEyXjESRInIYSdksRJiAKS3vUjzrpGoTMZ5FcIYeckcRKigBjvpnO1WqqIMw61YuyWQAgh7IwkTkIUkDvpcxddo9CZseNLY0eYQghhZyRxEqKAGEdnK9b9OJUqpc0vX9Y1DCGEyC1JnIQoID7p82KdMlSqpM3PnAGl9I1FCCFyQRInIQqIMXG6pGsUOqtYUZvfugVXrugbixBC5IIkTkIUEO/0eaKuUejM1RVKltQey+k6IYQdksRJiAJiPDFV7Ie3vZ3ek5W7u/VyQghRCEniJEQBSUufF+s/uuTke3fUeXjoG4sQQuRCsf4OF6IgyREntGubjOSIkxDCDkniJEQBkSNOQErKvcfOxboPdSGEnSrW3+FCFCRJnLh3mq5ECTAU62NvQgg7Vay/w4UoSJI4cS9xMvYgLoQQdqZYf4cLUZAkcUISJyGE3SvW3+FCFCTj1T0Oukahs+vXtbmTk/VyQghRSEniJEQBOZs+99c1Cp2tWaPNmzXTNw4hhMglSZyEKCAn0+dVdI1CZz//rM2ffFLfOIQQIpckcRKiANwGzqc/LraJU3w87NihPe7WTd9YhBAilyRxEqIAxKbPSwJldIxDV7/8os0feQQqVNA3FiGEyCVJnIQoAKfS50EU457D167V5j166BqGEEI8CF0Tp6CgIAwGg9k0evRoszKnT5+ma9eueHh44OPjw6uvvkpycrJOEQuRO+nD2lJS1yh0duOGNq9cWd84hBDiAejemcqECRMYPHiw6bmnp6fpcWpqKp07d6ZcuXJs27aNy5cv069fP5RSzJw5U49whciV1PR5se6KQAghigDdE6eSJUvi5+dn8bV169Zx5MgRzpw5Q0BAAADTpk2jf//+TJw4ES8vr4IMVYhcS+/2URIngKQkvSMQQohc0/0ap48++oiyZcvSoEEDJk6caHYaLioqijp16piSJoCwsDCSkpLYu3evHuEKkSu+6fOjgNIzED0FB2vzjz+GO3f0jUUIIXJJ18TptddeY8mSJWzatIlhw4YxY8YMhg4danr9/Pnz+Pr6mq1TunRpnJ2dOX/+fMbNmSQlJZGYmGiarht7KxZCJy0Ad7QuCQ7oHItuIiLA1xf+/BMmTNA7GiGEyJU8T5zGjRuX6YLvjNOePXsAeOONNwgNDaVevXoMGjSIOXPmMHfuXC5fvmzansHCCOpKKYvLjSZNmoS3t7dpCjb+pyuETlyANumP1+oZiJ7KlIHZs7XHU6bAvn36xiOEELmQ54nTsGHD+PPPP61OderUsbhu8+bNAThx4gQAfn5+mY4sXb16lZSUlExHou43ZswYEhISTNORI0fyqHZC5N5j6fNinS48+aTW+WVqKvzwg97RCCFEjuX5xeE+Pj74+Pjkat3o6GgA/P210bxCQkKYOHEi8fHxpmXr1q3DxcWFxo0bZ7kdFxcXXFxcTM8TExNzFY8QeclV7wAKi6AgbV5C90sshRAix3S7qy4qKoodO3bQpk0bvL292b17N2+88QbdunWjcno/Lx06dCA4OJjw8HA+/vhjrly5wsiRIxk8eLDcUSfsTlr6vNinC7fTe7VylVRSCGF/dEucXFxcWLp0KePHjycpKYnAwEAGDx7Mm2++aSrj4ODAr7/+ytChQ2nZsiVubm706dOHqVOn6hW2ELlmTJyKfZcExjvq3Nz0jUMIIXJBt8SpUaNG7DAO+GlF5cqVWbVqVQFEJET+MnaCKUec0o84SeIkhLBDxf47XIiCIqfq0hn7anN21jcOIYTIhWL/HS5EQSu2g/waOaYf6L5713o5IYQohCRxEqKAFNsewzMyHmlKSdE3DiGEyAVJnIQQBcuYON03vJIQQtgLSZyEEAXLyUmbS+IkhLBDkjgJUUCM3RAU+xNUkjgJIeyYJE5CFBBjf/oXdY2iEJBrnIQQdkwSJyEKiF/6/F9doygEjEecJHESQtghSZyEKCDl0+cXdI2iELh+XZunplovJ4QQhZAkTkIUkPSBRijW/WXHxsKCBdrjtm11DUUIIXJDEichCojxSFM5XaPQ2ejRkJSkJU2dOukdjRBC5JgkTkIUEONF4eWtlirCoqJg6VIwGGDaNG0uhBB2RhInIQpIsT7ilJYGb7yhPR4wABo00DUcIYTILUmchCggl9LnPlZLFVGrV8POneDhAe+/r3c0QgiRa5I4CVFAPNLnN3WNQidLlmjzwYPB31/fWIQQ4gFI4iREAQlIn8fpGoUOkpJg5Urt8TPP6BuLEEI8IEe9AxCiuDAmTicBBRTZS6OvXYPDh+HQIW2+dy8kJkJAADRvrnd0QgjxQCRxEqKA1Ec7xBsNzAaG6hvOg7t+HY4c0ZKj+xOlc+csl+/XD0rIQW4hhH2TxEmIAlIVmAKMBF5DS6Ra6hqRjW7fhj//NE+ODh2CU6eyXqdSJahTB2rX1uZ160LDhgUXsxBC5BNJnIQoQMOBXcD3wNPAPqDQXCqdlATHjpknR4cPw99/g1KW1/H3v5ccGefBweDlVbCxCyFEAZHESYgCZADmAkeAQ2jJ0ybAuSCDuHsXjh83T44OH9aSpqzGjytbVkuK7k+QateGMmUKMnIhhNCdJE5CFDBPYBnQFNgOtAK6Ae2AJmTzR6mUdmQoIUG74No4ZXxubdm5c5CcbHn73t6Zk6PataF8eenpWwghkMRJiIKRIeF5KDGRhU5OPFmnDrtKlGAX8C5Q8s4dQo8do+3+/bTdtYu6Bw9S4to18+QnJeXB4/HwuJcU3Z8oBQRIgiSEEFZI4iSENUrBnTvZH82x5YhPhoSnC/BXlSr89sQTbGzblk1t2nC1TBlW1avHqnr1IDwcn4sXabNpE203bqTtxo08dPnyvW4MSpbUriXy9tbm908Zl93/3N8fKleWO9yEECIXDEplddVn0XH27FkqVarEmTNnqFixot7hiIJgKeGxJbmxVCYvjvDcL4uEJ7VUKfbXqsXGunXZ8NBD/F6xIjednMxWrXj3Lm3T0mjr6Ei7EiWQT7MQQhTs77wccRKFS2FPeHJ6dCfjMk/PLI/0OACN0qeRQDKwG9gIbACigLOOjvwP+F/6Og8BbdGuj2pNMR1AWAghCpAkTqJgpKRAfDycPatdnHz/dPYsxMVpPU4XVMKT0wTISsKTX5zR+nlqCbwH3EK7mHwDWjK1BziePv03fZ1HgLHAExThnsmFEEJHkjiJB5eYeC8BspQUnTsHFy5k3RdQVjImNnaS8OQXd+Dx9AkgAdiClkRtBA4CO4HOwKPApPS5EEKIvCOJk8haaqqW8GRMgjI+v3HDtu05OWl3bVWsCBUqZJ7Kli2SCU9+8UbrxqBb+vPzwHRgJrANrZuDTsCHaL2UCyGEeHCSOAnNgQPwzTf3kqGzZ7VTa1l1iJiRt7eW/FhKiozLfHwkGcpHfmhDurwGvA98DaxOn/4P7RReLd2iE0KIokESJ6F57TXYvDnz8hIlwM8vcxKU8bmHR4GHLCyrAMwBRqAlS0uAxenzp4C3ARk1Tgghcke3xGnz5s20adPG4mu7du2iadOmABgsdMY3e/ZsXnzxxXyNr9gJDNTmrVvDK6/cS4p8fcFR8mt79BBawvQWMB5YDvyYPj0BvIOdDDIshBCFiG6/iC1atCA+Pt5s2XvvvUdkZCRNmjQxWz5v3jw6duxoeu7t7V0gMRYrrVvDggVa79b/+Y/e0Yg81AD4GW1svEloR55+S59C0RKox5G78IQQwha6XXDi7OyMn5+faSpbtiwrVqxgwIABmY4ylSpVyqysm5ubTlEXYa1ba/Pdu+HmTV1DEfmjDrAI+AsYDDih3ZXXAa0bg1+ANN2iE0II+1BortRdsWIFly5don///pleGzZsGD4+PjRt2pQ5c+aQliZf73kuKEgbhuPuXdi+Xe9oRD6qDnwJ/IN2IbkbWkebPdDuvpsFHEaSKCGEsKTQJE5z584lLCyMSpUqmS1///33+eGHH4iMjKR3796MGDGCDz/80Oq2kpKSSExMNE3Xr1/Pz9CLDuM1Zz/+qG8cokBUBGYAscAYwAvtdN7LaEenfICuwGS07g3u6BGkEEIUMnk+Vt24ceMYP3681TK7d+82u47p7NmzBAYG8v333/PUU09ZXXfatGlMmDCBhISEHMcgY9VlY+tWCA0FZ2eIjdUGgxXFxjW0I1FrgR1oPZXfzxloitap5qNAC6BMAcYnhBBZKcix6vI8cbp06RKXLl2yWiYoKAhXV1fT8/fff5+ZM2dy7tw5nDIMaprRH3/8waOPPsr58+fx9fW1WCYpKYmkpCTT83PnzhEcHCyJU3aUglat4I8/YORI+PhjvSMSOkkBYtCONP0B/A5csFCuNvcSqdYggw4LIXRh14P8+vj44OPjY3N5pRTz5s2jb9++2SZNANHR0bi6ulKqVKksy7i4uODi4mJ6npiYaHM8xZrBAG+/DZ07w+zZ8NJLULWq3lEJHTihHV1qCrwBKOBvtETKOP2Fdi3UYbSx8koAA9C6Pggo+JCFEKJA6N5Bz8aNGzl58iQDBw7M9NrKlSs5f/48ISEhuLm5sWnTJt555x1eeOEFs8RI5KEnnoCWLbWjTj17wrZtcN/RQVE8GdAuKq8O9E9fdgFt0OFtaEekdqH1Vv4dWuebo4CSBR2oEELkM90vDp87dy4tWrTg4YcfzvSak5MTs2bNIiQkhHr16vHpp58yYcIEpk2bpkOkxYTBAIsXa+PG7d0LI0boHZEopMqj3Yk3FW1w4T/Qrnu6hTbkS3VgNtppPyGEKCry/Bqnwqggz30WGb/9Bp06aY8XL4bevfWNR9gFhdbZ5mjgePqyGmh35vVAOtkUQuSPgvyd1/2IkyiknnhCu94JYPBgOHxY33iEXTAA/0G77ulzoBxwLH1ZK7SjUkX+PzUhRJGm+zVOohAbP1671mnLFqhTRzt999BDUL36vcn4vIzcmC7ucULrDyocmAJMR0uaHgVKA024d/F5U7SBiYUQwh7IqTphXXw8dOsGe/ZYL1e6tHlSdf/jsmW1a6dEsXUOGAssBJItvO6PeSLVBChbYNEJIeydXffjVBhJ4pQHbtyAv/+GEye06fjxe4/PnbO+rrd31klVuXKSVBUjycBBtCFejFNWw7tUxTyZagR4FkyYQgg7I4lTHpPEKZ/dvAn//GM5qTpzxvq6Xl7mp/7uT6x8fSWpKgZuAtGYJ1MnLJQrATyMeTJVD5COSYQQkjjlMUmcdHT79r2k6v6E6sQJOH1a6608K56elpOqWrWgfPmCq4MocFeBPdxLpPYAZy2Uc0IbmNh4eq8ZWm/mkm4LUbzYdc/hQphxc4PatbUpozt34ORJy0nVqVPa6cGYGG3KqFYtbVDiNm2gdWvtlJ8oMkoD7dMno3jMk6ndwOX0ZfdfgdcQiAC6IQmUECLvyREnUTglJWkDDWdMqo4f15KtjB/bOnXuJVKhoXKXXzGggFjME6ldwO301xugXZDeHel3RYiiTk7V5TFJnIqYq1dh61bYtAk2boSDB81fNxigQYN7iVSrVtoF6qLIu4zW9cFnwI30ZfXQjkD1QBIoIYoqSZzymCRORdzFi1pfU5s2adOff5q/XqKElkg99BBUrgyVKmlz41SmjFyEXsRcBj5BS6Cupy+rhXYdVJX0qWr6vALgoEOMQoi8I4lTHpPEqZg5fx42b9aORm3apJ3is8bd3TyRun+qVAkqVpSBju3UFbQE6lPuJVAZOQGBmCdTxnkVoAxyrZQQhZ0kTnlMEqdi7uxZ2LlTu4sv43Thgm3b8PXNOrmqXFn6oyrkrgKRwD/AyfvmscDdbNb1InMyZXwcBLjlR8BCiByRu+qEyEsVK2qTJXfuaImVpaTKON2+Df/+q027d1vejotL5lOAGY9cubvnXx2FVaWBZywsT0Xr1fz+ZOr+x/FAIrA/fbLEn6wTKzkNKETRI4mTKN5cXe/1EWWJUnD5staRZ1aJVXy8dheg8c6/rPj4mCdSGZMrPz/teixRYByAyulTqIXXb6Mdlbo/mbp/fh0tuYoHtltYX04DClH0SOIkhDUGg5bw+PhAw4aWyyQnQ1xc1omVsU+qS5e0ad8+y9txctKOjAUHw5dfQkBA/tVL2MQNrbfyhy28ptCuocrqaFUskILWC3pW6bTxNGAzoAvQDvDIs+iFEPlBEichHpSzMwQFaZMlSkFCgpZEZXXk6tw5SEnR+qg6eRJ++gleeaUgayFyyIA2EHFZtLv1MrJ0GvD+BCvjacCv0IaPaYuWRHVGO1olhChcJHESIr8ZDFCqlDbVq2e5zN272im/N9+EJUu066mEXbP1NOAxYAOwMv35b+nTy0BdoCtaItUMuV5KiMJALqgQojBwdNSue6pVS3tu691+wm4ZTwN2R+tv6h/gEDAZeBTty/kg8CHQAvAD+gHfA9cKPlwhRDpJnIQoTPz8tPk330B4OBw5om88osAY0AYofgv4HbgALAR6A97AJeB/QC/AB3gMmIR2mq/I9ykjRCEiiZMQhclTT8ETT0BqKixcqI3B99RTWV9QLoqsssCzwGLgIrAZGIF2lCoVLbl6G21MvorAIGAZ2nVTQoj8I4mTEIWJjw+sXq31F/Xkk9qF5cuWQePG0KkT/PGH3hEKHTihXSc1FTiCdnH5LLRrn9yBOGAu8BRawtUGmIJ26k+ORgmRtyRxEqIwatJES5gOHYJnn9X6d/rtN3j0UW3g4shILakSxVIQ8BLaBeWXgbXAa0ANtJ7QN6Od8quLdmfeEOAX7g18LITIPUmchCjMatfWTtn99RcMGqT19bR5M7RvD82ba2PxiWLNFegAzAD+QuszaibwRPprZ4AvgR5oHW4+Dkwn67H7hBDWSeIkhD2oXh2++gr+/lvr38nVFXbtgo4dtV7LhUhXDRgGrEbroHN1+vOqaB1ybkC7Vqo12hh+QoickcRJCHtSqRJ89hk8/7z2vG5drQNOISxwQzvyNBPtSNRfwCdAOWAf2tEnSZ6EyBlJnISwN//8A19/rT3+6COtg00hsmFAuwbqdWAjkjwJkVuSOAlhb8aO1YZn6dAB2rXTOxphh+ogyZMQuSWJkxD2JCYGFi3SHk+erGsowr5J8iRE7kjiJIS9uH1bu7MOoHdvaNhQ33iE3cuYPI3UNxwh7IIkTkLYA6XghRdg714oW1a7tkmIPFAH+Cn98SK0XsqFEFmTxEkIezBjhtafk4MD/PADVK6sd0SiCHkUaAIkAV/rHIsQhV2+Jk4TJ06kRYsWuLu7U6pUKYtlTp8+TdeuXfHw8MDHx4dXX32V5ORkszIHDx4kNDQUNzc3KlSowIQJE1DSa7IoLiIjYWT6SZTp07Wew4XIQwbglfTHs9F6HxdCWJaviVNycjLPPPMML730ksXXU1NT6dy5Mzdv3mTbtm0sWbKEn376iREjRpjKJCYm0r59ewICAti9ezczZ85k6tSpTJ8+PT9DF6JwOHECevWCtDTo10/r/FKIfNAL7VqnM2jDswghLHPMz42PHz8egPnz51t8fd26dRw5coQzZ84QEBAAwLRp0+jfvz8TJ07Ey8uLRYsWcefOHebPn4+Liwt16tTh2LFjTJ8+neHDh2OQPmxEUXTtGkyZop2iu30bmjaFOXOkzyaRb1yAZ9AGD16BNmCwECIzXa9xioqKok6dOqakCSAsLIykpCT27t1rKhMaGoqLi4tZmbi4OGJjYy1uNykpicTERNN0/bqMyiTsxO3bMHUqVK0KkyZpz1u0gJ9/1oZZESKf3ASWpz9upGMcQhR2uiZO58+fx9fX12xZ6dKlcXZ25vz581mWMT43lslo0qRJeHt7m6bg4OB8iF6IPHT3LsydCzVqwKhRcPUqBAfDL7/Atm1QoYLeEYoibgYQB1QBXtQ3FCEKtRwnTuPGjcNgMFid9uzZY/P2LJ1qU0qZLc9YxnhheFan6caMGUNCQoJpOnLkiM3xCFFgUlNh61Z4/XXtCNOgQXD2rDYe3bx5cOAAdOsmp+dEvrsFGDu4+BDttJ0QwrIcX+M0bNgwevfubbVMUFCQTdvy8/Nj586dZsuuXr1KSkqK6aiSn59fpiNLFy5cAMh0JMrIxcXF7NReYmKiTfEIke+Sk2HjRli2DJYvh4v39ZpTpgy88w4MHSqn5USBSgJupD9+VM9AhLADOU6cfHx88PHxyZM3DwkJYeLEicTHx+Pv7w9oF4y7uLjQuHFjU5m3336b5ORknNNHgV+3bh0BAQE2J2hC6OrmTVi7VkuWVq2ChIR7r5UurR1VevJJbew5Nzf94hTFVmngEWAH8CswRN9whCjU8vWuutOnT3PlyhVOnz5NamoqMTExAFSvXh1PT086dOhAcHAw4eHhfPzxx1y5coWRI0cyePBgvLy8AOjTpw/jx4+nf//+vP322xw/fpwPP/yQsWPHyh11ovC6dk1LkpYtgzVrtIu8jfz8tETpP/+B0FBwctItTCGMuqIlTiuRxEkIa/I1cRo7diwLFiwwPW+YPrbWpk2baN26NQ4ODvz6668MHTqUli1b4ubmRp8+fZg6dappHW9vb9avX8/LL79MkyZNKF26NMOHD2f48OH5GboQOXfhgnYx97JlsGEDpKTcey0oCJ56SkuWmjeHEtJpvyhcugHvAJFod9h56BuOEIWWQRWDLrjPnj1LpUqVOHPmDBUrVtQ7HFGUpKbC6tVaH0tr1mgdVRoFB2uJ0n/+Aw0ayEXeolBTQDXgJPAz0EPXaITImYL8nc/XI05CFFlxcVr3AV99BWfO3FvepImWKD35JNSqpV98QuSQAegCzAR+QxInIbIiiZMQtkpL007BzZmjnZJLTdWWly0Lzz8PL7wADz2kb4xCPIAn0BKnNWhHoOQYqRCZSeIkRHYuXdL6Vfrvf+Hvv+8tf/RRePFF7dol6T5AFAGhaH04nQaOAg/rG44QhZIkTkJYohT88Yd2dOmHH7T+lwC8vKBvXxgyBOrU0TdGIfKYO/AYsB7tqJMkTkJkJomTEBkdPgwDBsCuXfeWNWmiHV3q3Rs85H4jUXR15F7i9IbOsQhRGEniJIRRaipMnw7vvqsdYXJ3hz59tKNLTZroHZ0QBaJl+vywrlEIUXhJ4iQEwIkT0K8fbN+uPe/cGb78EgIC9I1LiAJmHE76XyANnUeCF6IQkr8JUbwlJMCUKVC/vpY0lSypdTOwcqUkTaJY8kW7m+4ucEnnWIQojOSIkyie/vkHPvtMS5JupA9v2qaNdvdcYKC+sQmhIycgADgHrAXC9Q1HiEJHjjiJ4kMp+P13rYPK6tXh00+1pCk4WEuYIiMlaRICGJo+fw+4o2cgQhRCkjiJoi85GRYtgqZN4bHH4OeftSSqY0dYuxYOHYL+/WX8OCHSvY521OkUMEvfUIQodORUnSi6Ll/WLvD+/HNtiBTQOqrs2xdee0070iSEyMQdmAAMAiYCA4BSegYkRCEiiZMoem7fhjff1K5fun1bW+bnBy+/rPXF5OOjb3xC2IF+wHTgCDA5fRJCSOIkiprUVK3vpeXLtecNGsAbb0CvXuDiomdkQtgVR+BDtMF+v0ESJyGMJHESRYdS8OqrWtLk4qINldKlCxhkqFIhcqM9WtcEF9OncvqGI0ShIFfDiqLjo49g1iwtUVq4ELp2laRJiAfgDgSlPz6iYxxCFCaSOImi4dtvYcwY7fGMGfD007qGI0RRYbyFQhInITSSOAn7t3GjNigvwMiR2uk6IUSekMRJCHOSOAn7N24c3L0LvXtrp+uEEHmmTvp8p65RCFF4SOIk7JtSEBOjPX7nHenEUog8ZrxAfDfaMCxCFHfyKyPs26lTcP06ODlBzZp6RyNEkeMPhKQ/Xq5jHEIUFpI4CfukFPz2m3Z6DuDhh7XkSQiR5/6TPl8IKD0DEaIQkMRJ2Je0NK2fpqZNoVMn2LlTG0ZFLggXIt/8H+AK7ADW6ByLEHqTxEnYh9RU+P57rSfwJ5+EvXvB3R1GjICTJ2HgQL0jFKLICgCGpT9+B0jTMRYh9CaJkyjc7t7V+miqU0cbNuXgQShZUuuzKTYWpk7VxqETQuSrt4CSQDTwk86xCKEnSZxE4XT3rjZIb61a0LcvHD0KpUppXQ+cOgUffgjlZAAIIQqKDzAi/fF7wF0dYxFCTzJWnSh8lIJ+/eC777TnPj7aKbmhQ8HLS9/YhCjG3gBmAn8Bi4FwfcMRQhdyxEkUPt98oyVNDg7aqbjYWBg9WpImIXTmxb2jTjP1DEQIHUniJAqXP/+8d4fcBx9oR5o8PPSNSQhhMghwRusQc5fOsQihB0mcROFx547WL9OtW/D44/Dmm3pHJITIoByQ3nsan+sZiBA6kcRJFB6jRsGBA9pF3//7nwyfIkQh9XL6fClwUc9AhNBBvv4yTZw4kRYtWuDu7k6pUqUyvb5//37+7//+j0qVKuHm5sbDDz/Mp59+alYmNjYWg8GQaVqzRrphK1J+/x0+T///9X//A39/feMRQmSpGdAUSAZeR+6wE8VLvt5Vl5yczDPPPENISAhz587N9PrevXspV64cCxcupFKlSmzfvp0XXngBBwcHhg0bZlY2MjKS2rVrm56XKVMmP0MXBW36dG0+cCB07KhvLEKIbE0AugDfASlow7E46xqREAUjXxOn8ePHAzB//nyLrw8YMMDsedWqVYmKimLZsmWZEqeyZcviJx0dFk0nT8KKFdrj4cP1jUUIYZOOwA9Ar/T57fS5q55BCVEACt1FJAkJCRaPJnXr1o3y5cvTsmVLfvzxR6vbSEpKIjEx0TRdv349v8IVeeGLL7Qx6Nq3h+BgvaMRQtjoSWAFWrK0CugK3NQ1IiHyX6FKnKKiovj+++8ZMmSIaZmnpyfTp0/nxx9/ZPXq1bRr145evXqxcOHCLLczadIkvL29TVOw/BgXXjduwNdfa49fe03fWIQQOdYR+A3wACLTnyfqGpEQ+SvHidO4ceMsXqx9/7Rnz54cB3L48GG6d+/O2LFjad++vWm5j48Pb7zxBs2aNaNJkyZMmDCBoUOHMmXKlCy3NWbMGBISEkzTkSNHchyPKCCrVkFCAlStCk88oXc0QohcaI2WNHkD29CufUrRMyAh8lGOr3EaNmwYvXv3tlomKCgoR9s8cuQIbdu2ZfDgwbz77rvZlm/evDlfG49SWODi4oKLi4vpeWKi/P9TaBl7A09M1Manc5bLS4WwR82BTWhJ1O/ASOBTaysIYadynDj5+Pjg4+OTZwEcPnyYtm3b0q9fPyZOnGjTOtHR0fjL7epFQ4cOWtcD8fHa0af//EfviIQQudQQ+BboDnyG1mXBc7pGJETey9e76k6fPs2VK1c4ffo0qampxMTEAFC9enU8PT05fPgwbdq0oUOHDgwfPpzz588D4ODgQLly5QBYsGABTk5ONGzYkBIlSrBy5Uo+++wzPvroo/wMXRQUR0dtQN/Jk2HuXEmchLBz3YD3gPeBwUADoI6eAQmRx/I1cRo7diwLFiwwPW/YsCEAmzZtonXr1vzwww9cvHiRRYsWsWjRIlO5wMBAYmNjTc8/+OADTp06hYODAzVq1OCbb77huefk/5gio29fLXGKjNSGXXGVG5qFsGcRaGPZrQGGA+v0DUeIPGVQSim9g8hvZ8+epVKlSpw5c4aKFSvqHY7ISCkICIDz52HLFnjsMb0jEkI8oJNATbSLxNcB7a0XF+KBFOTvfKHqjkAUUwYDPPqo9njbNn1jEULkiSrA0PTHbwJpOsYiRF6SxEkUDq1aafPff9c3DiFEnnkX8AJi0IZmEaIokMRJFA7GxGn7dkhN1TcWIUSe8AFGpz9+F7ilYyxC5BVJnEThYOzP6eZNSE7WNxYhRJ55DagInALe0DkWIfKCJE6icDAO8vvYY+Dmpm8sQog84w7MBwzAl2gDAQthzyRxEoXD8uXavEcPPaMQQuSDdtw7ZTcYiNUvFCEemCROQn8XL967m657d31jEULki/Fow7IkAH2QseyE/ZLESehv1SpIS4PatSEwUO9ohBD5wAlYjDYQcBTaxeJC2CNJnIT+rl7V5ocPw4gRcnG4EEVUEPBV+uMpwH/1C0WIXJPESehv2DB4I/1+m+nTta4J7htyRwhRdDyDNiQLaB1k/qJjLELkhiROQn/OzlrC9PPPUKoU7NoFDRvCL/KVKkRRFAEMQutNvDfwh77hCJEjkjiJwqNHD4iOhmbN4No17fkbb8ipOyGKGAMwG+gC3AG6An/qGpEQtpPESRQuQUHasCvDh2vPZ8yA1q0hRe7BEaIocQSWAI8AV4GOwHldIxLCNpI4icLH2RmmTdM6xSxZEqKiYPNmvaMSQuQxD2AVUAM4DfwfcFfXiITIniROovDq2vXeGHZysbgQRZIP2gXinsBmYKyu0QiRPUmcROFm7Nfp1Cl94xBC5JtawNfpjyehHYUSorCSxEkUbpI4CVEs9AJeSX8cDpzUMRYhrJHESRRuFStqc0mchCjypqJdLH4Nrb8nuSVEFEaSOInC6/hxGCtXPAhRXDgD3wOlgb3AT/qGI4RFkjiJwmnXLmjRAv75B6pWhW++0TsiIUQBqAy8lv54OqB0jEUISyRxEoWLUrBsGbRpA5cuQePGsH07VK+ud2RCiALyEuAC7Aa26xyLEBlJ4iQKh7t3YckSaNIEnnoKbt2CsDCt/yZfX72jE0IUoPJA5/THK/UMRAgLHPUOQBRzN29qp+GmT7/XV5ObG7z8Mnz4ITg56RqeEKLg3QA2pT9uomcgQlggiZPQx4UL8Pnn8MUXcOWKtszHB159FYYOhbJl9Y1PCKGbr9CGYXkIeFLnWITISBInUbCOH9eGU1mwAO7c0ZZVqwYjR0K/ftrRJiFEsZUMTEt//CbgoGMsQlgiiZMoGLt3w+TJ8PPP2gXgAM2awZtvQo8e4CBfj0IIWAScA/zROsIUorCRxEnkr6gomDAB1qy5t6xzZy1hatUKDAb9YhNCFDqz0udvoN1ZJ0RhI4mTyB/btsH48RAZqT13cIBnn9USptq19Y1NCFEoJaB1fAnwrJ6BCGGFJE4ib23erB1h2pR+T4yjo3bt0pgx2rVMQgiRhT/QOrysDgToHIsQWZHESTw4pWDjRi1h2rpVW+bkBAMGwOjREBSka3hCCPuQ/u3BY7pGIYR1kjiJ3Lt9G9atgylTtN69AZydYdAgLWGqVEnf+IQQdkUSJ2EP8rXn8IkTJ9KiRQvc3d0pVaqUxTIGgyHTNGfOHLMyBw8eJDQ0FDc3NypUqMCECRNQSkYw0sWpUzBrlnaBd5ky2h1x27eDq6vWB9M//2h9M0nSJITIgVtoQ6wAtNIzECGyka9HnJKTk3nmmWcICQlh7ty5WZabN28eHTt2ND339vY2PU5MTKR9+/a0adOG3bt3c+zYMfr374+HhwcjRozIz/AFQEqKlhitXg2//gqHD5u/XqkS9OoFw4eDv78+MQoh7N4u4C5QAaiicyxCWJOvidP48eMBmD9/vtVypUqVws/Pz+JrixYt4s6dO8yfPx8XFxfq1KnDsWPHmD59OsOHD8cgt7PnvQsXtO4Dfv0V1q6FhIR7rzk4QIsW2hGnTp2gTh3pUkAI8cC2pc8fBeQbRRRmheIap2HDhjFo0CCqVKnCwIEDeeGFFyhRQjuLGBUVRWhoKC4u93r0CAsLY8yYMcTGxlKlSub/TZKSkkhKSjI9v379ev5Xwp6lpUF0tJYo/fqr1lnl/adCy5aFJ57QkqWwMChdWr9YhRBF0v2JkxCFme6J0/vvv0+7du1wc3Njw4YNjBgxgkuXLvHuu+8CcP78eYIy3JXl6+tres1S4jRp0iTT0S5hxfr1sHgx/PYbnD9v/lrDhlqi1LkzNG0qPXsLIfJNKpB+ewkt9QxECBvkOHEaN25ctknJ7t27adLEtjGtjQkSQIMGDQCYMGGC2fKMp+OMF4ZndZpuzJgxDB8+3PT83LlzBAcH2xRPsfH999q1SUaentC+vZYoPfEEBEgvKkKIgvEXcB3wBOrqHIsQ2clx4jRs2DB69+5ttUzGI0Q50bx5cxITE/n333/x9fXFz8+P8xmOhly4cAG4d+QpIxcXF7NTe4mJibmOp0i6dk27Aw6gZ08YPFgb/sRFBjgQQhS8a+nz8hSC0yBCZCPHn1EfHx98fHzyIxYAoqOjcXV1NXVfEBISwttvv01ycjLOzs4ArFu3joCAgAdK0Iq1d96Bf/+FmjXhf/+ThEkIoavk9LmzrlEIYZt8Te5Pnz7NlStXOH36NKmpqcTExABQvXp1PD09WblyJefPnyckJAQ3Nzc2bdrEO++8wwsvvGA6YtSnTx/Gjx9P//79efvttzl+/DgffvghY8eOlTvqcmPXLpg9W3s8e7YkTUII3Rlv5ZFvI2EP8jVxGjt2LAsWLDA9b9iwIQCbNm2idevWODk5MWvWLIYPH05aWhpVq1ZlwoQJvPzyy6Z1vL29Wb9+PS+//DJNmjShdOnSDB8+3OwaJmGjpCQYMkS7Y65vX2jTRu+IhBBCEidhVwyqGHTBffbsWSpVqsSZM2eoWLGi3uEUvGvX4Msv4dNPIS5O607g6FEoX17vyIQQgoVAONpQK1t0jkXYp4L8nZfr8Iqy06dhxgz46iu4cUNb5u8PX38tSZMQotDYkD5vpGsUQthGEqeiKDoapk6FpUshNVVbVrs2jBwJ//d/cl2TEKLQSAVWpT/upmcgQthIEqeiQilteJSpU2HDhnvL27bVEqaOHWVoFCFEobMTuAR4I72GC/sgiZO9UwoWLoQpU+DQIW2Zg4PWueWIEdBIDn4LIQqvlenzJwAnPQMRwkaSONm7H3/U7pADrffvwYPh9dehcmVdwxJCCFsYLwZvp2sUQtiuhN4BiAfUtKk2CC9o1zGNHy9JkxDCbtRKn8vddMJeSOJk74KCIDJS62Jg507o0gVu3tQ7KiGEsMmL6fPv0a51EqKwk8SpKGjQANatAy8v2LoV+vfXOyIhhLBJU6Ax2rAr/9M5FiFsIYlTUdGkidbVAGidXAohhB0wAB3THx/XMxAhbCSJU1Fx6hTMm6c9fu89fWMRQogcuJM+99Q1CiFsI4lTUTF2LCQna+PPhYXpHY0QQtgsfVwDSuoahRC2kcSpKDhwAL79Vnv80UfS0aUQwq5cT5/LESdhDyRxKgrefVfrCLNnT617AiGEsCPGI06SOAl7IImTvbtxA377TXs8bpyuoQghRG54pM+lOwJhDyRxsnfbtsHdu1p/Tg8/rHc0QgiRY43T53t0jUII20jiZO82bdLmbdroG4cQQuSS8QKD3bpGIYRtJHGydxs3anNJnIQQdqohWn9OZ4HzOsciRHYkcbJniYmwb5/22MtL31iEECKXSgLGCw0i9QxECBtI4mTPlLqXMPXoAd27w8GDuoYkhBC50Sl9PgTYpmcgQmRDEid75u0N+/fDgAFQogSsWAH168Nzz8Hff+sdnRBC2OwDIAy4hZZE7dI3HCGyJImTvatcGebOhcOH4ZlntKNQixZBrVrw0ktw7pzeEQohRLZcgGVAG7QOMcOAaF0jEsIySZyKilq14PvvYe9e6NhR66JgzhyoXh1GjYLLl/WOUAghrHIHVgAtgWtAe+CQngEJYYEkTkVNo0Zah5hbtkDLlnDnDkydClWrws6dekcnhBBWeQK/onVRcBl4HLiga0RCmJPEqah67DH4/Xf49VeoW1e7A2/sWL2jEkKIbHkDa9HutPsXmK9rNEKYk8SpKDMYoFMn+OUX7fG6dXDsmN5RCSFEtkoDw9MfLwCUjrEIcT9JnIqDKlWgc2ft8axZ+sYihBA2egbtovEjyIXiovCQxKm4ePllbT5/Pty8qWsoQghhC2+gR/rj/+kYhxD3k8SpuOjQQbvDLiFB665ACCHsQHj6/DsgRc9AhEgniVNxUaIEPP+89jhSBjUQQtiHDoAvcBFYo3MsQoAkTsVLo0ba/JD0jCKEsA9OwHPpj+frGIcQRvmaOE2cOJEWLVrg7u5OqVKlMr0+f/58DAaDxenCBa3njtjYWIuvr1kj/3vkWN262vzYMUhK0jcWIYSwUb/0+Urgkp6BCEE+J07Jyck888wzvPTSSxZf79WrF/Hx8WZTWFgYoaGhlC9f3qxsZGSkWbm2bdvmZ+hFU0AAlCoFqalw9Kje0QghhE3qAo3RrnH6TudYhHDMz42PHz8e0I4sWeLm5oabm5vp+cWLF9m4cSNz587NVLZs2bL4+fnlS5zFhsGgHXX6/Xc4eFAbEFgIIexAf2Av2um6V3WNRBR3heoap//973+4u7vz9NNPZ3qtW7dulC9fnpYtW/Ljjz/qEF0RI6fqhBB2pHf6PBq4qmcgotgrVInTN998Q58+fcyOQnl6ejJ9+nR+/PFHVq9eTbt27ejVqxcLFy7McjtJSUkkJiaapuvXrxdE+IXf9esQFaU9bt1a11CEECInfICg9McHdIxDiBwnTuPGjcvygm7jtGfPnhwHEhUVxZEjRxg4cKDZch8fH9544w2aNWtGkyZNmDBhAkOHDmXKlClZbmvSpEl4e3ubpuDg4BzHUyRt2QJ372oD/larpnc0QgiRI/XS5/t1jUIUdzm+xmnYsGH07t3bapmgoKAcB/L111/ToEEDGjdunG3Z5s2b8/XXX2f5+pgxYxg+fLjp+blz5yR5Am2sOtA6wxRCCDtTH1iBJE5CXzlOnHx8fPDx8cnTIG7cuMH333/PpEmTbCofHR2Nv79/lq+7uLjg4uJiep6YmPjAMdq9tDRYu1Z73L69vrEIIUQuGG9nkcRJ6Clf76o7ffo0V65c4fTp06SmphITEwNA9erV8fT0NJVbunQpd+/e5dlnn820jQULFuDk5ETDhg0pUaIEK1eu5LPPPuOjjz7Kz9CLnv/+V+u/yd0dpCsHIYQdapg+PwgkA846xiKKr3xNnMaOHcuCBQtMzxs21D72mzZtovV9FyfPnTuX//znP5QuXdridj744ANOnTqFg4MDNWrU4JtvvuG5556zWFZYcPIkjBqlPZ48WevLSQgh7EwVoAxwBe0C8Sb6hiOKKYNSSukdRH47e/YslSpV4syZM1SsWFHvcApWWhq0awebN0NoKGzcqI1bJ4QQdqgjsBaYBVjuWlkURwX5Oy+/oEXdrFla0uTuDt98I0mTEMKuNU2f79Y1ClGcya9oUfbPP/DWW9rjKVO0bgiEEMKOGROnXbpGIYozSZyKKqXg5Zfh1i2ts8ssxgsUQgh7Uit9flrXKERxJolTUfXjj7BmDTg7a3fUySk6IUQRkJo+lzvqhF7k17QoSkyE11/XHo8eDTVq6BqOEELkleT0uZOuUYjiTBKnosZ4ii4uThtWZcwYvSMSQog8Y0yc5IiT0IskTkXN3LmwcCE4OMC8eeDqqndEQgiRZ26nz92slhIi/0jiVJQcOACvvKI9/uADaNVK33iEECKP3Uqfu+sahSjOJHEqKq5fh2eegTt3oFMnePNNvSMSQog8J4mT0JskTkWBUvDCC9pYdBUrwoIFchedEKJIMp6qk8RJ6EV+XYuCH36AJUvA0RGWLgUfH70jEkKIfGE84iTXOAm9SOJk765dg9de0x6/8w60aKFrOEIIkZ+S0ucuukYhijNJnOzdO+/A+fNaX03S9YAQooiT7giE3iRxsmc7d8Ls2drjOXPARf4HE0IUbZI4Cb1J4mSv7t6FIUO0C8P79oU2bfSOSAgh8p0kTkJvkjjZq1mzYP9+KFMGpk7VOxohhCgQxmucJHESepHEyR5dvAgREdrjDz+EcuX0jUcIIQrIzfS5p65RiOJMEid79N572t10DRrAoEF6RyOEEAXmRvpcEiehF0mc7E1MDHz5pfb4s8+0MemEEKKYkMRJ6E0SJ3uxcycEB0PDhtoF4b16yVh0QohiZ6neAYhiTxIne9G8Ofz5p/bYzQ0+/ljfeIQQQkdf6x2AKLYkcbIXU6ZocwcH+O47qFRJ33iEEEIH3dPnP+oahSjOJHGyF6NGaafo7t6FHj30jkYIIXSxHFBADZ3jEMWXJE5CCCGEEDaSxEkIIYQQwkaSOAkhhBBC2EgSJyGEEEIIG0niJIQQQghhI0mchBBCCCFsJImTEEIIIYSNJHESQgghhLBRviVOsbGxDBw4kCpVquDm5ka1atWIiIggOTnZrNzp06fp2rUrHh4e+Pj48Oqrr2Yqc/DgQUJDQ3Fzc6NChQpMmDABpVR+hS6EEEIIYZFjfm346NGjpKWl8d///pfq1atz6NAhBg8ezM2bN5k6dSoAqampdO7cmXLlyrFt2zYuX75Mv379UEoxc+ZMABITE2nfvj1t2rRh9+7dHDt2jP79++Ph4cGIESPyK3whhBBCiEwMqgAP3Xz88cfMnj2bf/75B4DffvuNLl26cObMGQICAgBYsmQJ/fv358KFC3h5eTF79mzGjBnDv//+i4uLCwCTJ09m5syZnD17FoPBkO37nj17lkqVKnHmzBkqVqyYfxUUQgghRIEryN/5Ar3GKSEhgTJlypieR0VFUadOHVPSBBAWFkZSUhJ79+41lQkNDTUlTcYycXFxxMbGFljsQgghhBD5dqouo7///puZM2cybdo007Lz58/j6+trVq506dI4Oztz/vx5U5mgoCCzMsZ1zp8/T5UqVTK9V1JSEklJSabnCQkJAMTHx+dJXYQQQghReBh/3xMTE1FK2XQ2KrdynDiNGzeO8ePHWy2ze/dumjRpYnoeFxdHx44deeaZZxg0aJBZWUuVy1jpjGWMZxez2jGTJk2yGGOzZs2sxi2EEEII+1W7dm0SEhLw8vLKt/fIceI0bNgwevfubbXM/UeI4uLiaNOmDSEhIXz55Zdm5fz8/Ni5c6fZsqtXr5KSkmI6quTn52c6+mR04cIFgExHq4zGjBnD8OHDTc+vXLlClSpVOHToEN7e3tYrWAxdv36d4OBgjhw5QsmSJfUOp1CSfWSd7B/rZP9kT/aRdbJ/rEtISKBOnTrExsbm+/7JceLk4+ODj4+PTWXPnTtHmzZtaNy4MfPmzaNECfNLqkJCQpg4cSLx8fH4+/sDsG7dOlxcXGjcuLGpzNtvv01ycjLOzs6mMgEBAZlO4Rm5uLiYXRNlVKlSpXzNQu1VYmIiABUqVJD9kwXZR9bJ/rFO9k/2ZB9ZJ/vHOuM+KV26dL6epoN8vDg8Li6O1q1bU6lSJaZOncrFixc5f/682dGjDh06EBwcTHh4ONHR0WzYsIGRI0cyePBg007o06cPLi4u9O/fn0OHDvHzzz/z4YcfMnz48HzfOUIIIYQQ98u3i8PXrVvHiRMnOHHiRKZbA43XKDk4OPDrr78ydOhQWrZsiZubG3369DH18wTg7e3N+vXrefnll2nSpAmlS5dm+PDhZqfihBBCCCEKQr4lTv3796d///7ZlqtcuTKrVq2yWqZu3bps3bo117G4uLgQERFh8fSdkP1jC9lH1sn+sU72T/ZkH1kn+8e6gtw/BdoBphBCCCGEPZNBfoUQQgghbCSJkxBCCCGEjSRxEkIIIYSwUZFOnIKCgjAYDJmml19+We/QCoW7d+/y7rvvUqVKFdzc3KhatSoTJkwgLS1N79AKjevXr/P6668TGBiIm5sbLVq0YPfu3XqHpZutW7fStWtXAgICMBgMLF++3Ox1pRTjxo0jICAANzc3WrduzeHDh/UJVgfZ7Z9ly5YRFhaGj48PBoOBmJgYXeLUi7X9k5KSwltvvUXdunXx8PAgICCAvn37EhcXp1/AOsjuMzRu3Dhq1aqFh4cHpUuX5vHHH8/UkXRRlt3+ud+QIUMwGAzMmDEjT2Mo0onT7t27iY+PN03r168H4JlnntE5ssLho48+Ys6cOXz++ef8+eefTJkyhY8//piZM2fqHVqhMWjQINavX8+3337LwYMH6dChA48//jjnzp3TOzRd3Lx5k/r16/P5559bfH3KlClMnz6dzz//nN27d+Pn50f79u25fv16AUeqj+z2z82bN2nZsiWTJ08u4MgKB2v759atW+zbt4/33nuPffv2sWzZMo4dO0a3bt10iFQ/2X2GatSoweeff87BgwfZtm0bQUFBdOjQgYsXLxZwpPrIbv8YLV++nJ07dxIQEJD3Qahi5LXXXlPVqlVTaWlpeodSKHTu3FkNGDDAbNl//vMf9dxzz+kUUeFy69Yt5eDgoFatWmW2vH79+uqdd97RKarCA1A///yz6XlaWpry8/NTkydPNi27c+eO8vb2VnPmzNEhQn1l3D/3O3nypAJUdHR0gcZUmFjbP0a7du1SgDp16lTBBFXI2LKPEhISFKAiIyMLJqhCJKv9c/bsWVWhQgV16NAhFRgYqD755JM8fd8ifcTpfsnJySxcuJABAwZIj+PpHn30UTZs2MCxY8cA2L9/P9u2baNTp046R1Y43L17l9TUVFxdXc2Wu7m5sW3bNp2iKrxOnjzJ+fPn6dChg2mZi4sLoaGhbN++XcfIhL1KSEjAYDBQqlQpvUMplJKTk/nyyy/x9vamfv36eodTKKSlpREeHs6oUaOoXbt2vrxHvnWAWdgsX76ca9eu2dQpZ3Hx1ltvkZCQQK1atXBwcCA1NZWJEyfyf//3f3qHViiULFmSkJAQ3n//fR5++GF8fX1ZvHgxO3fu5KGHHtI7vELHOJxSxsG3fX19OXXqlB4hCTt2584dRo8eTZ8+fWRstgxWrVpF7969uXXrFv7+/qxfv97mMWSLuo8++ghHR0deffXVfHuPYnPEae7cuTzxxBP5c77TTi1dupSFCxfy3XffsW/fPhYsWMDUqVNZsGCB3qEVGt9++y1KKSpUqICLiwufffYZffr0wcHBQe/QCq2MR3SVUnKUV+RISkoKvXv3Ji0tjVmzZukdTqHTpk0bYmJi2L59Ox07dqRnz55cuHBB77B0t3fvXj799FPmz5+fr985xSJxOnXqFJGRkQwaNEjvUAqVUaNGMXr0aHr37k3dunUJDw/njTfeYNKkSXqHVmhUq1aNLVu2cOPGDc6cOcOuXbtISUmhSpUqeodW6Pj5+QGYDeQNcOHChUxHoYTISkpKCj179uTkyZOsX79ejjZZ4OHhQfXq1WnevDlz587F0dGRuXPn6h2W7n7//XcuXLhA5cqVcXR0xNHRkVOnTjFixAiCgoLy7H2KReI0b948ypcvT+fOnfUOpVC5desWJUqYfwQcHBykOwILPDw88Pf35+rVq6xdu5bu3bvrHVKhU6VKFfz8/Ex3r4J2DcaWLVto0aKFjpEJe2FMmo4fP05kZCRly5bVOyS7oJQiKSlJ7zB0Fx4ezoEDB4iJiTFNAQEBjBo1irVr1+bZ+xT5a5zS0tKYN28e/fr1w9GxyFc3R7p27crEiROpXLkytWvXJjo6munTpzNgwAC9Qys01q5di1KKmjVrcuLECUaNGkXNmjV5/vnn9Q5NFzdu3ODEiROm5ydPniQmJoYyZcpQuXJlXn/9dT788EMeeughHnroIT788EPc3d3p06ePjlEXnOz2z5UrVzh9+rSpb6K//voL0I7WGY/YFWXW9k9AQABPP/00+/btY9WqVaSmppqOXpYpUwZnZ2e9wi5Q1vZR2bJlmThxIt26dcPf35/Lly8za9Yszp49W2y62cnubyxjsu3k5ISfnx81a9bMuyDy9B69Qmjt2rUKUH/99ZfeoRQ6iYmJ6rXXXlOVK1dWrq6uqmrVquqdd95RSUlJeodWaCxdulRVrVpVOTs7Kz8/P/Xyyy+ra9eu6R2WbjZt2qSATFO/fv2UUlqXBBEREcrPz0+5uLioxx57TB08eFDfoAtQdvtn3rx5Fl+PiIjQNe6CYm3/GLtosDRt2rRJ79ALjLV9dPv2bfXkk0+qgIAA5ezsrPz9/VW3bt3Url279A67wGT3N5ZRfnRHYFBKqbxLw4QQQgghiq5icY2TEEIIIURekMRJCCGEEMJGkjgJIYQQQthIEichhBBCCBtJ4iSEEEIIYSNJnIQQQgghbCSJkxBCCCGEjSRxEkIIIYSwkSROQgghhBA2ksRJCCGEEMJGkjgJIYQQQthIEichhBBCCBtJ4iSEEEIIYSNJnIQQQgghbCSJkxBCCCGEjSRxEkIIIYSwkSROQgghhBA2ksRJCCGEEMJGdpc4zZ49m3r16uHl5YWXlxchISH89ttvpteXLVtGWFgYPj4+GAwGYmJibNruTz/9RHBwMC4uLgQHB/Pzzz/nUw1yLz/qPn/+fAwGQ6bpzp07+ViTnLNW95SUFN566y3q1q2Lh4cHAQEB9O3bl7i4uGy3a+/tntu620u7Q/af+3HjxlGrVi08PDwoXbo0jz/+ODt37sx2u/be9pC7uttL22dX9/sNGTIEg8HAjBkzst2uPbQ75E/9i0rb9+/fP1Mdmjdvnu1286rt7S5xqlixIpMnT2bPnj3s2bOHtm3b0r17dw4fPgzAzZs3admyJZMnT7Z5m1FRUfTq1Yvw8HD2799PeHg4PXv2tOnLtyDlR90BvLy8iI+PN5tcXV3zowq5Zq3ut27dYt++fbz33nvs27ePZcuWcezYMbp162Z1m0Wh3XNbd7CPdofsP/c1atTg888/5+DBg2zbto2goCA6dOjAxYsXs9xmUWh7yF3dwT7aPru6Gy1fvpydO3cSEBCQ7Tbtpd0hf+oPRaftO3bsaFaH1atXW91mnra9KgJKly6tvv76a7NlJ0+eVICKjo7Odv2ePXuqjh07mi0LCwtTvXv3zssw88WD1n3evHnK29s7f4LLZ5bqbrRr1y4FqFOnTmW5flFrdyNb6m7P7a6U9fonJCQoQEVGRma5flFte1vqbs9tn7HuZ8+eVRUqVFCHDh1SgYGB6pNPPrG6vj23u1IPXv+i0vb9+vVT3bt3z9H6edn2dnfE6X6pqaksWbKEmzdvEhISkuvtREVF0aFDB7NlYWFhbN++/UFDzDd5VXeAGzduEBgYSMWKFenSpQvR0dF5FGX+sKXuCQkJGAwGSpUqleV2imq721J3sL92h+zrn5yczJdffom3tzf169fPcjtFse1trTvYX9tbqntaWhrh4eGMGjWK2rVr27Qde2x3yLv6Q9Foe4DNmzdTvnx5atSoweDBg7lw4YLV7eRp2+c41SoEDhw4oDw8PJSDg4Py9vZWv/76a6YyOTnq4uTkpBYtWmS2bNGiRcrZ2TmvQs4zeV33qKgo9e2336qYmBi1detW9dRTTyk3Nzd17NixfIj+wdhSd6WUun37tmrcuLF69tlnrW6vqLW7UrbX3Z7aXans679y5Url4eGhDAaDCggIULt27bK6vaLU9jmtuz21vbW6f/jhh6p9+/YqLS1NKaVsOuJiT+2uVN7Xv6i0/ZIlS9SqVavUwYMH1YoVK1T9+vVV7dq11Z07d7LcXl62vV0mTklJSer48eNq9+7davTo0crHx0cdPnzYrExOE6fvvvvObNnChQuVi4tLXoadJ/K67hmlpqaq+vXrq1deeSWPIs47ttQ9OTlZde/eXTVs2FAlJCRY3V5Ra/ec1D2jwtzuSmVf/xs3bqjjx4+rqKgoNWDAABUUFKT+/fffLLdXlNo+p3XPqDC3fVZ137Nnj/L19VXnzp0zlbU1cbKXdlcq7+ufkT22vSVxcXHKyclJ/fTTT1luLy/b3i4Tp4zatWunXnjhBbNlOUkeKlWqpKZPn262bPr06apy5cp5GWa+eNC6WzJo0KBM54ILo4x1T05OVj169FD16tVTly5dynb9otTuOa27JfbS7kpZ/tzfr3r16urDDz/M8vWi1PYZZVd3S+yl7Y11/+STT5TBYFAODg6mCVAlSpRQgYGBWa5vz+2u1IPX3xJ7a/usVK9eXU2ePDnL1/Oy7e36GicjpRRJSUm5Xj8kJIT169ebLVu3bh0tWrR40NDy3YPW3dL2YmJi8Pf3z7Nt5pf7656SkkLPnj05fvw4kZGRlC1bNtv1i0q756bulrZnL+0O2X/us3u9qLR9bl63VN5e2t5Yt/DwcA4cOEBMTIxpCggIYNSoUaxduzbL9e253eHB629pe/bW9pZcvnyZM2fOWK1HnrZ9jlMtnY0ZM0Zt3bpVnTx5Uh04cEC9/fbbqkSJEmrdunVKKaUuX76soqOj1a+//qoAtWTJEhUdHa3i4+NN2wgPD1ejR482Pf/jjz+Ug4ODmjx5svrzzz/V5MmTlaOjo9qxY0eB18+a/Kj7uHHj1Jo1a9Tff/+toqOj1fPPP68cHR3Vzp07C7x+1lire0pKiurWrZuqWLGiiomJUfHx8aYpKSnJtI2i2O65rbu9tLtS1ut/48YNNWbMGBUVFaViY2PV3r171cCBA5WLi4s6dOiQaRtFse1zW3d7afvsvu8ysnSqyl7bXan8qX9RaPvr16+rESNGqO3bt6uTJ0+qTZs2qZCQEFWhQgWVmJho2kZ+tr3dJU4DBgxQgYGBytnZWZUrV061a9fO7IM0b948BWSaIiIiTGVCQ0NVv379zLb7ww8/qJo1ayonJydVq1Ytq+dK9ZIfdX/99ddV5cqVTdvs0KGD2r59ewHWyjbW6m48NWlp2rRpk2kbRbHdc1t3e2l3pazX//bt2+rJJ59UAQEBytnZWfn7+6tu3bplukC6KLZ9butuL22f3fddRpYSB3ttd6Xyp/5Foe1v3bqlOnTooMqVK6ecnJxU5cqVVb9+/dTp06fNtpGfbW9QSqmcH6cSQgghhCh+isQ1TkIIIYQQBUESJyGEEEIIG0niJIQQQghhI0mchBBCCCFsJImTEEIIIYSNJHESQgghhLCRJE5CCCGEEDYqFolTUlIS48aNy9OhSexFca47FO/6S92LZ92heNdf6l486w4FV3+76QBz1qxZfPzxx8THx1O7dm1mzJhBq1atbFo3MTERb29vEhIS8PLyyudIC5fiXHco3vWXuhfPukPxrr/UvXjWHQqu/nZxxGnp0qW8/vrrvPPOO0RHR9OqVSueeOIJTp8+rXdoQgghhChG7CJxmj59OgMHDmTQoEE8/PDDzJgxg0qVKjF79my9QxNCCCFEMeKodwDZSU5OZu/evYwePdpseYcOHdi+fbvFdZKSkszOcV65cgWAM2fO4O3tnX/BFkLXr18H4Ny5cyQmJuocTcErzvWXuhfPukPxrr/UvXjWPS0tjb///huAfL8CKVdDAxegc+fOKUD98ccfZssnTpyoatSoYXGdiIiILEeMl0kmmWSSSSaZiu504cKFfM1LCv0RJyODwWD2XCmVaZnRmDFjGD58uOn5mTNnqFOnDrt27cLf3z9f4xRCCCFEwYqPj6dZs2YcPnwYHx+ffH2vQp84+fj44ODgwPnz582WX7hwAV9fX4vruLi44OLiYnpuPD3n7+9PxYoV8y9YIYQQQujGy8sry4MqeaXQXxzu7OxM48aNWb9+vdny9evX06JFC52iEkIIIURxVOiPOAEMHz6c8PBwmjRpQkhICF9++SWnT5/mxRdf1Ds0IYQQQhQjdpE49erVi8uXLzNhwgTi4+OpU6cOq1evJjAwUO/QhBBCCFGM2EXiBDB06FCGDh2qdxhCCCGEKMYK/TVOomi7cOECQ4YMoXLlyri4uODn50dYWBhRUVGmMgaDgeXLl+fJ+8XGxmIwGIiJibFabvPmzRgMBq5du5bptQYNGjBu3DhTGWvT/PnzAfjpp59o3bo13t7eeHp6Uq9ePSZMmGDqY8wWy5Yto3379pQrVw4vLy9CQkJYu3ZtpnI//fQTwcHBuLi4EBwczM8//2z2+qRJk2jatCklS5akfPny9OjRg7/++sv0ekpKCm+99RZ169bFw8ODgIAA+vbtS1xcXLYxXr16lfDwcLy9vfH29iY8PDzTPnzttddo3LgxLi4uNGjQwOb6b9myhcaNG+Pq6krVqlWZM2eO2euHDx/mqaeeIigoCIPBwIwZM2za7sGDBwkNDcXNzY0KFSowYcIEs35gbN3vGQ0ZMoRq1arh5uZGuXLl6N69O0ePHjW9bu3zs3v3bqvbzq6NQRumqkqVKri6utK4cWN+//13m/aHEMI6SZyErp566in279/PggULOHbsGCtWrKB169Y5SihslZycnKfba9GiBfHx8aapZ8+edOzY0WxZr169eOedd+jVqxdNmzblt99+49ChQ0ybNo39+/fz7bff2vx+W7dupX379qxevZq9e/fSpk0bunbtSnR0tKlMVFQUvXr1Ijw8nP379xMeHk7Pnj3ZuXOnqcyWLVt4+eWX2bFjB+vXr+fu3bt06NCBmzdvAnDr1i327dvHe++9x759+1i2bBnHjh2jW7du2cbYp08fYmJiWLNmDWvWrCEmJobw8HCzMkopBgwYQK9evWyu+8mTJ+nUqROtWrUiOjqat99+m1dffZWffvrJVObWrVtUrVqVyZMn4+fnZ9N2ExMTad++PQEBAezevZuZM2cydepUpk+fbipjy363pHHjxsybN48///yTtWvXopSiQ4cOpKamApk/P/Hx8QwaNIigoCCaNGmS5XZtaWMZpkqIfJSvvUQVEmfOnFGAOnPmjN6hiPtcvXpVAWrz5s1ZlgkMDDTr2CwwMFAppdSJEydUt27dVPny5ZWHh4dq0qSJWr9+faZ133//fdWvXz/l5eWl+vbtm6mjtNDQUIvvu2nTJgWoq1evZnqtfv36KiIiItPyfv36qe7du5st27lzpwLUjBkzstwHDyI4OFiNHz/e9Lxnz56qY8eOZmXCwsJU7969s9zGhQsXFKC2bNmSZZldu3YpQJ06dSrLMkeOHFGA2rFjh2lZVFSUAtTRo0czlY+IiFD169fPcnv3e/PNN1WtWrXMlg0ZMkQ1b97cYvnAwED1ySefZLvdWbNmKW9vb3Xnzh3TskmTJqmAgACVlpaW5XoZ97st9u/frwB14sQJi68nJyer8uXLqwkTJljdji1t3KxZM/Xiiy+alalVq5YaPXp0jmIWwl4U5O+8HHESuvH09MTT05Ply5ebDZFzP+Mpi3nz5hEfH296fuPGDTp16kRkZCTR0dGEhYXRtWvXTP9Rf/zxx9SpU4e9e/fy3nvvsWvXLgAiIyOJj49n2bJl+VhDWLRoEZ6enllen1eqVCng3inEzZs327zttLQ0rl+/TpkyZUzLoqKi6NChg1m5sLCwLIcnAkhISAAw246lMgaDwRSvJVFRUXh7e/PII4+YljVv3hxvb2+r72+LrOq1Z88eUlJSHmi7oaGhZv2+hYWFERcXR2xsrMV1LO1342m3rNa5efMm8+bNo0qVKlSqVMlimRUrVnDp0iX69+9vtjwoKIhx48aZxWytjY3DVGUsY22YKiGE7SRxErpxdHRk/vz5LFiwgFKlStGyZUvefvttDhw4YCpTrlw5QEsw/Pz8TM/r16/PkCFDqFu3Lg899BAffPABVatWZcWKFWbv0bZtW0aOHEn16tWpXr26af2yZcvi5+dnNVnIC8ePH6dq1ao4OTlZLefk5ETNmjVxd3e3edvTpk3j5s2b9OzZ07Ts/PnzmTqG9fX1zdSBrJFSiuHDh/Poo49Sp04di2Xu3LnD6NGj6dOnD15eXlnGc/78ecqXL59pefny5bN8f1tlVa+7d+9y6dKlPN+u8TVLLO13d3d3atasmamdZ82aZfoHYc2aNaxfvx5nZ2eL2507dy5hYWGZEqtq1aqZ9YScXRtfunSJ1NTUHH0OhBC2k8RJ6Oqpp54iLi6OFStWEBYWxubNm2nUqJHpouqs3Lx5kzfffJPg4GBKlSqFp6cnR48ezXTEydq1IgVBWRka6H4VKlTg6NGjNGvWzKbtLl68mHHjxrF06dJMyUpOhicaNmwYBw4cYPHixRZfT0lJ+X/27jwuqnr/4/gLEUZExQUVURTNtEhL07qilZq5tGi7mmVyU9v0tqjdsiyVMu1mVteueStTb1nZov1sdSlbTDI1KM1KKxdQyC3BJQHh+/vjzIyObIMxnGHm/Xw8zuOcmTlz+ByGnHff8z3fL4MHD6awsJBZs2a5n7/99tvdgaBWrVol/uyyfn5xTjzuiWO1FXdeJf3M8ijPcUv6vZ9//vn89NNPNG3a1GP/G2+8kdTUVD7//HNOP/10Bg4cyNGjR4scNyMjg6VLlzJ8+PAir33yySeMHj26zJpPfq48fwci4r0qMxyBBK4aNWrQu3dvevfuzSOPPMKIESOYOHFikUsWJ7rvvvtYunQp06dPp3Xr1kRERHDdddcV6QAeGRl5SjW5Wlays7OLXJ46cOCAexqfsrRp04ZVq1aRn59fZquTtxYuXMjw4cN56623uOSSSzxei4mJ8Xp6on/84x8sWbKEL774otipiPLz8xk4cCBbt27l008/9WhtSk5OZty4cUV+9u+//17kOHv27ClxeqTinHjHo+tnlnRe1atXp0GDBl4f+2QlHRcoUnNpv/eSuO4uPP300+nSpQv16tVj8eLF3HDDDR77zZ07lwYNGnjVAb+sz/hUpqkSEe+pxUn8TkJCgvsOL7AuY7nuRHL58ssvSUpK4uqrr6Z9+/bExMSU2L/kRK7LJCcf72Snn3461apVK3JbeGZmJjt37qRt27ZencuQIUM4dOiQR2vNiYob7qA0r7/+OklJSbz22mtcfvnlRV5PTEwsMj3RsmXLPKYnMsYwevRoFi1axKeffkrLli2LHMcVmrZs2cKKFSuKhJNGjRq5L3+2bt3a/bOzs7Pd/cgA1qxZQ3Z2drmmRzrxuK5WnZLOq3Pnzn8pkCYmJvLFF194BO5ly5YRGxtLfHy8+7myfu/eMsYU6c9njGHu3LncfPPNXp1LWZ+xpqkS8TGfdz/3A7qrzj/t3bvX9OzZ07zyyivmu+++M7/99pt58803TePGjc0tt9zi3u/00083d9xxh8nMzDT79+83xhhz1VVXmQ4dOpjU1FSTlpZm+vfvb2rXrm3uvvtu9/uKu7MqPz/fREREmMcee8xkZWWZAwcOlFjfHXfcYZo3b24WL15sfvvtN7Nq1SrTvXt30759e5Ofn19k/+LuqjPGuiMsNDTU3HfffWb16tVm27ZtZsWKFea6665z322XkZFh2rZta9asWVNiPa+99pqpXr26+c9//mMyMzPdy4nn8NVXX5nQ0FAzbdo08+OPP5pp06aZ6tWre9zpdscdd5ioqCjz2WefeRznyJEj7t/RgAEDTLNmzUxaWprHPrm5uSXWZ4wx/fr1M2effbZJSUkxKSkppn379uaKK67w2GfLli0mNTXV3HbbbaZNmzYmNTXVpKamlnrs3377zdSsWdPce++9ZtOmTWbOnDkmLCzMvP322+59cnNz3cdq0qSJGTdunElNTTVbtmwp8bgHDhwwjRs3NjfccIPZsGGDWbRokalTp46ZPn16uX7va9asMW3btjUZGRnGGGN+/fVX8/jjj5t169aZ7du3m9WrV5srr7zS1K9f3/z+++8eNaxYscIAZtOmTcXWePHFF5uZM2e6H3vzGb/xxhsmLCzMzJkzx2zatMncc889JjIy0mzbtq3E34VIVVaZ3/MKTmKbo0ePmgceeMCce+65JioqytSsWdO0bdvWTJgwwf0lbowxS5YsMa1btzbVq1d3D0ewdetW07NnTxMREWHi4uLMc889Z7p3715mcDLGmBdffNHExcWZatWqlTgcgau+5ORkc+aZZ5qIiAjTokULk5SUZDIzM4vdv6TgZIwxCxcuNBdddJGpXbu2iYyMNGeffbZJTk52D0ewdetWA5iVK1eWWE/37t2LDKcAmGHDhnns99Zbb5m2bduasLAwc8YZZ5h33nnH4/XijgGYuXPnetRS3FJafcYYs2/fPnPjjTea2rVrm9q1a5sbb7yxyJALJZ3H1q1bSz32Z599Zjp27GjCw8NNfHy8ef755z1eL6nu0j5jY4z5/vvvzYUXXmgcDoeJiYkxkyZN8hiKwJvfu2v4Ctc57Ny501x66aWmUaNGJiwszDRr1swMGTKk2GEZbrjhBtO1a9cS62vRokWR4S/K+oyNMeY///mPadGihQkPDzfnnntuqcNNiFR1lfk9H2LMCUPkBqiMjAzi4uJIT08vti+HiIiIVF2V+T2vPk4iIiIiXlJwEhEREfGSgpOIiIiIlxScRERERLyk4CQiIiLiJQUnERERES8pOImIiIh4ScFJRERExEsKTiIiIiJeUnASERER8ZKCk4iIiIiXFJxEREREvKTgJCIiIuIlBScRERERLyk4iYiIiHhJwUlERETESwpOIiIiIl5ScBIRERHxkoKTiIiIiJdsC07btm1j+PDhtGzZkoiICE477TQmTpxIXl6ex34hISFFltmzZ9tUtYiIiASz6nb94J9++onCwkL++9//0rp1azZu3MjIkSM5fPgw06dP99h37ty59OvXz/04KiqqsssVERERsS849evXzyMMtWrVip9//pnnn3++SHCqW7cuMTExlV2iiIiIiAe/6uOUnZ1N/fr1izw/evRooqOjOe+885g9ezaFhYU2VCciIiLBzrYWp5P9+uuvzJw5k6eeesrj+UcffZRevXoRERHBJ598wtixY9m7dy8TJkwo8Vi5ubnk5ua6Hx88eNBndYuIiEjwqPAWp0mTJhXbofvEZd26dR7v2bVrF/369eP6669nxIgRHq9NmDCBxMREOnTowNixY0lOTubJJ58stYapU6cSFRXlXhISEir6NEVERCQIhRhjTEUecO/evezdu7fUfeLj46lRowZghaaePXvyt7/9jXnz5lGtWulZ7quvvuKCCy4gKyuLxo0bF7vPyS1OO3fuJCEhgfT0dJo1a1bOMxIRERF/lpGRQVxcXKV8z1f4pbro6Giio6O92nfnzp307NmTTp06MXfu3DJDE0Bqaio1atSgbt26Je7jcDhwOBzuxzk5OV7VIyIiIlIa2/o47dq1ix49etC8eXOmT5/Onj173K+57qB77733yMrKIjExkYiICFauXMlDDz3Erbfe6hGMRERERCqDbcFp2bJl/PLLL/zyyy9FmtVcVw/DwsKYNWsWY8aMobCwkFatWpGcnMyoUaPsKFlERESCXIX3cfJHlXntU0RERCpXZX7P+9U4TiIiIiL+TMFJRERExEsKTiIiIiJeUnASERER8ZKCk4iIiIiXFJxEREREvKTgJCIiIuIlBScRERERLyk4iYiIiHhJwUlERETESwpOIiIiIl5ScBIRERHxkoKTiIiIiJcUnERERES8pOAkIiIi4iUFJxEREREvKTiJiIiIeEnBSURERMRLCk4iIiIiXlJwEhEREfGSgpOIiIiIlxScRERERLyk4CQiIiLiJQUnERERES8pOImIiIh4ScFJRERExEsKTiIiIiJeUnASERER8ZKCk4iIiIiXFJxEREREvKTgJCIiIuIlW4NTfHw8ISEhHssDDzzgsc+OHTvo378/kZGRREdHc9ddd5GXl2dTxSIiIhLMqttdQHJyMiNHjnQ/rlWrlnu7oKCAyy+/nIYNG7Jq1Sr27dvHsGHDMMYwc+ZMO8oVERGRIGZ7cKpduzYxMTHFvrZs2TI2bdpEeno6sbGxADz11FMkJSUxZcoU6tSpU5mlioiISJCzvY/TE088QYMGDejQoQNTpkzxuAyXkpJCu3bt3KEJoG/fvuTm5rJ+/Xo7yhUREZEgZmuL09133825555LvXr1+Oabbxg/fjxbt27lpZdeAiArK4vGjRt7vKdevXqEh4eTlZVV4nFzc3PJzc11Pz548KBvTkBERESCSoW3OE2aNKlIh++Tl3Xr1gFw77330r17d84++2xGjBjB7NmzmTNnDvv27XMfLyQkpMjPMMYU+7zL1KlTiYqKci8JCQkVfZoiIiIShCq8xWn06NEMHjy41H3i4+OLfb5Lly4A/PLLLzRo0ICYmBjWrFnjsc8ff/xBfn5+kZaoE40fP54xY8a4H+/cuVPhSURERP6yCg9O0dHRREdHn9J7U1NTAWjSpAkAiYmJTJkyhczMTPdzy5Ytw+Fw0KlTpxKP43A4cDgc7sc5OTmnVI+IiIjIiWzr45SSksLXX39Nz549iYqKYu3atdx7770MGDCA5s2bA9CnTx8SEhIYOnQoTz75JPv372fcuHGMHDlSd9SJiIhIpbMtODkcDhYuXMjkyZPJzc2lRYsWjBw5kn/+85/ufUJDQ/nggw+488476datGxEREQwZMoTp06fbVbaIiIgEMduC07nnnsvXX39d5n7Nmzfn/fffr4SKREREREpn+zhOIiIiIlWFgpOIiIiIlxScRERERLyk4CQiIiLiJQUnERERES8pOImIiIh4ScFJRERExEsKTiIiIiJeUnASERER8ZKCk4iIiIiXFJxEREREvKTgJCIiIuIlBScRERERLyk4iYiIiHhJwUlERETESwpOIiIiIl5ScBIRERHxkoKTiIiIiJcUnERERES8pOAkIiIi4iUFJxEREREvKTiJiIiIeEnBSURERMRLCk4iIiIiXlJwEhEREfGSgpOIiIiIlxScRERERLyk4CQiIiLiJQUnERERES8pOImIiIh4ScFJRERExEu2BafPPvuMkJCQYpe1a9e69yvu9dmzZ9tVtoiIiASx6nb94K5du5KZmenx3MMPP8yKFSvo3Lmzx/Nz586lX79+7sdRUVGVUqOIiIjIiWwLTuHh4cTExLgf5+fns2TJEkaPHk1ISIjHvnXr1vXYV0RERMQOftPHacmSJezdu5ekpKQir40ePZro6GjOO+88Zs+eTWFhYeUXKCIiIkHPthank82ZM4e+ffsSFxfn8fyjjz5Kr169iIiI4JNPPmHs2LHs3buXCRMmlHis3NxccnNz3Y8PHjzos7pFREQkeFR4i9OkSZNK7PTtWtatW+fxnoyMDJYuXcrw4cOLHG/ChAkkJibSoUMHxo4dS3JyMk8++WSpNUydOpWoqCj3kpCQUKHnKCIiIsEpxBhjKvKAe/fuZe/evaXuEx8fT40aNdyPH330UWbOnMnOnTsJCwsr9b1fffUVF1xwAVlZWTRu3LjYfU5ucdq5cycJCQmkp6fTrFmzcpyNiIiI+LuMjAzi4uIq5Xu+wi/VRUdHEx0d7fX+xhjmzp3LzTffXGZoAkhNTaVGjRrUrVu3xH0cDgcOh8P9OCcnx+t6REREREpiex+nTz/9lK1btxZ7me69994jKyuLxMREIiIiWLlyJQ899BC33nqrRzASERERqQy2B6c5c+bQtWtXzjzzzCKvhYWFMWvWLMaMGUNhYSGtWrUiOTmZUaNG2VCpiIiIBLsK7+Pkjyrz2qeIiIhUrsr8nvebcZxERERE/J2Ck4iIiIiXFJxEREREvKTgJCIiIuIlBScRERERLyk4iYiIiHhJwUlERETESwpOIiIiIl5ScBIRERHxkoKTiIiIiJcUnERERES8pOAkIiIi4iUFJxEREREvKTiJiIiIeEnBSURERMRLCk4iIiIiXlJwEhEREfGSgpOIiIiIlxScRERERLyk4CQiIiLiJQUnERERES8pOImIiIh4ScFJRERExEsKTiIiIiJeUnASERER8ZKCk4iIiIiXFJxEREREvKTgJCIiIuIlBScRERERLyk4iYiIiHhJwUlERETESz4NTlOmTKFr167UrFmTunXrFrvPjh076N+/P5GRkURHR3PXXXeRl5fnsc+GDRvo3r07ERERNG3alOTkZIwxvixdREREpIjqvjx4Xl4e119/PYmJicyZM6fI6wUFBVx++eU0bNiQVatWsW/fPoYNG4YxhpkzZwKQk5ND79696dmzJ2vXrmXz5s0kJSURGRnJ2LFjfVm+iIiIiAefBqfJkycDMG/evGJfX7ZsGZs2bSI9PZ3Y2FgAnnrqKZKSkpgyZQp16tRhwYIFHD16lHnz5uFwOGjXrh2bN29mxowZjBkzhpCQEF+egoiIiIibrX2cUlJSaNeunTs0AfTt25fc3FzWr1/v3qd79+44HA6PfXbt2sW2bduKPW5ubi45OTnu5eDBgz49DxEREQkOtganrKwsGjdu7PFcvXr1CA8PJysrq8R9XI9d+5xs6tSpREVFuZeEhAQfVC8iIiLBptzBadKkSYSEhJS6rFu3zuvjFXepzRjj8fzJ+7g6hpd0mW78+PFkZ2e7l02bNnldj4iIiEhJyt3HafTo0QwePLjUfeLj4706VkxMDGvWrPF47o8//iA/P9/dqhQTE1OkZWn37t0ARVqiXBwOh8elvZycHK/qERERESlNuYNTdHQ00dHRFfLDExMTmTJlCpmZmTRp0gSwOow7HA46derk3ufBBx8kLy+P8PBw9z6xsbFeBzQRERGRiuDTPk47duwgLS2NHTt2UFBQQFpaGmlpaRw6dAiAPn36kJCQwNChQ0lNTeWTTz5h3LhxjBw5kjp16gAwZMgQHA4HSUlJbNy4kcWLF/P444/rjjoRERGpdD4djuCRRx5h/vz57scdO3YEYOXKlfTo0YPQ0FA++OAD7rzzTrp160ZERARDhgxh+vTp7vdERUWxfPlyRo0aRefOnalXrx5jxoxhzJgxvixdREREpIgQEwRDcGdkZBAXF0d6ejrNmjWzuxwRERGpQJX5Pa+56kTKsmQJpKVBQYHdlYhUKgP8DLwOHLO5FhF/oeAkUprCQhg2DDp2BOegrCLBwgCdgSHAZptrEfEXCk4ipdm4EQ4cgMhIOPdcu6sRqVTVgHOc29/aWYiIH1FwEinN559b627doLpP76UQ8Uuu/11ItbUKEf+h4CRSmi++sNYXXWRvHSI26ehcq8VJxKLgJFISYxScJOi5glMqVp8nkWCn4CRSkvR0cE7vo/5NEqwSgHAgG7gP+NPeckRsp+AkUpKGDcE1vdDbb9tbi4hNwrECE8BTWH2evravHBHbKTiJlCQiAu5zfmU8+ijk59tbj4hNHgP+D4gBfgK6Af8EjtpZlIhNFJxESjNqlNXy9Ouv8MordlcjYpsBwA/AUKAQeBKr/5NanyTYKDiJlCYyEu6/39pWq5MEufrA/4AlqPVJgpeCk0hZRoyAsDDYts2afkUkyPXHan26meOtT/fYWZBIJVJwEilNYSHcfrvV0hQRAWeeaXdFIn6hPjAfeNX5+HUgz75yRCqNgpNISYyBu+6CN96wRg1ftAgSEuyuSsSv3IB12S4H+MzeUkQqhYKTSEmefRb+8x8ICYH//Q/69bO7IhG/Uw2r4zjAuzbWIVJZFJxESjJvnrWeOhVuuMHWUkT82VXO9WKgwMY6RCqDgpNIcQoK4KefrO3rrrO3FhE/1wuoB2QBX9pci4ivKTiJFOfXXyE31+oQ3rKl3dWI+LVw4Grn9kI7CxGpBApOIsX54QdrnZAA1fSfiUhZBjnX7wDH7CxExMf0jSBSnM8+s9ZnnWVrGSJVxcVAA2APsNLmWkR8ScFJ5ER5eXDHHfDvf1uPe/a0tx6RKqI64OoN+JqdhYj4mIKTiEtmphWUZs+2hiB47DG4+Wa7qxKpMoY6128DR+wsRMSHFJxEAFavhk6drHVUFLz/Pjz0kPo3iZRDV6AVcAiN6SSBS98KIv/9L/ToYbU4JSTA2rVw2WV2VyVS5YRwvNXpf3YWIuJDCk4SnIyxWpeuvfb4XHTXXgtffw2nn253dSJV1k3O9XLgNzsLEfERBScJLkePWiOCd+4M3bpZ88+FhFijg7/1FtSubXeFIlVaa6AHUAhchnWXnUggqW53ASKVYscOq9P3iy/C3r3Wcw4HDBliTeTboYOt5YkEkv8B3YCfscLTp4D+l0QChYKTBLatW2HcOHj3XSgstJ6Li4M774QRIyA62tbyRAJRHLAMuBBYhzWX3YeAw8aaRCqKgpMEthtvhJQUa7tnT/jHP6B/f6iuP30RXzoD+AjoidXi9Cow3NaKRCqG+jhJ4Nq50wpNISGwbh18+ilcfbVCk0gl6QyMd26/bWchIhVIwUkC1/vvW+u//c0ao0lEKt21zvUK4A87CxGpID4NTlOmTKFr167UrFmTunXrFnn9u+++44YbbiAuLo6IiAjOPPNMnn32WY99tm3bRkhISJHl448/9mXpEgiWLLHWAwbYW4dIEGsLnIU18e97NtciUhF8es0iLy+P66+/nsTERObMmVPk9fXr19OwYUNeffVV4uLiWL16NbfeeiuhoaGMHj3aY98VK1Zw1gkTrtavX9+XpUtVd+gQfPKJtd2/v721iAS5a4EfgDexBsgMsbcckb/Ep8Fp8uTJAMybN6/Y12+55RaPx61atSIlJYVFixYVCU4NGjQgJibGJ3VKANq4EXJzre1rr4Vbb4Vhw3QXnYgNrgOSgQ+whid4Fmhja0Uip87v+jhlZ2cX25o0YMAAGjVqRLdu3Xj77dK7Gebm5pKTk+NeDh486KtyxV+dey7ce681oOXmzdaQBE2bWuM2ff65NXK4iFSK9sA0IBz4GGiH1Wn8kJ1FiZwivwpOKSkpvPnmm9x2223u52rVqsWMGTN4++23+fDDD+nVqxeDBg3i1VdfLfE4U6dOJSoqyr0kJCRURvniT8LDYcYM2LULXnjB6hyelwevv27NS3fmmdbr+/bZXalIULgf2AhcCuRjBakzgIWA/jdGqhRTThMnTjRYf+clLmvXrvV4z9y5c01UVFSpx924caNp2LChefTRR8usYfTo0aZ9+/Ylvn706FGTnZ3tXjZt2mQAk56e7tU5SoBat86YW281plYtY6w2J2McDmNuvNGYL74wprDQ7gpFAl6hMWaJMaalMQbn0sMYs8HOoqTKS09Pr7Tv+XK3OI0ePZoff/yx1KVdu3blOuamTZu4+OKLGTlyJBMmTChz/y5durBly5YSX3c4HNSpU8e91Nb8YwJWq9N//2u1Qs2eDR07Wv2gFiyAiy6Cs86CWbOOjzAuIhUuBOiP1Vk8GagBfAZ0AO4F/rSrMBEvlbtzeHR0NNEV2MH2hx9+4OKLL2bYsGFMmTLFq/ekpqbSpEmTCqtBgkzt2nDbbVaH8fXrrTD1+uvw448wapQVoLp3t7tKkYAWATyMdZfdGGAx8AyQgXX5zq/6kYicwKd31e3YsYP9+/ezY8cOCgoKSEtLA6B169bUqlWLH374gZ49e9KnTx/GjBlDVlYWAKGhoTRs2BCA+fPnExYWRseOHalWrRrvvfce//73v3niiSd8WboEg5AQ6NzZWp56Crp1s+7GU78nkUoTDyzCGuPpWqwRxicCj9pYk0hpfBqcHnnkEebPn+9+3LFjRwBWrlxJjx49eOutt9izZw8LFixgwYIF7v1atGjBtm3b3I8fe+wxtm/fTmhoKG3atOHll1/mpptu8mXpEmzq1AFnWCcvz95aRIJQf+AF4O/AY8CZwBBbKxIpXogxgX9fdkZGBnFxcaSnp9OsWTO7yxF/dcEF8NVXMH8+3Hyz3dWIBKX7gX8BDuA3INbecqSKqMzveV1GFgH44AMrNIWEWJ3GRcQWU7EGx8wFvrO5FpHiKDiJZGdbncXBGjSzfXt76xEJYtWw+j0B7LGxDpGSKDiJjB0LO3dC69bwqLqkitjN2duQ3bZWIVI8BScJbkuXwpw51iW6l1+GmjXtrkgk6DVyrtXiJP7Ip3fVifilggJYuRJeew3eest67h//gAsvtLcuEQHU4iT+TcFJgoMxsG6dFZbeeAOcY4YB1jhOjz9uX20i4uEX57rihloWqTgKThLYNm+2wtJrr8GJ0/TUrw/XXw833mgNfFlNV61F/IEBlju3L7GzEJESKDhJ4MnMtFqVXnvNamVyiYiAK6+0wlKfPhAebl+NIlKszUA6EA7o4rn4IwUnCQzZ2bBokTVh78qVxyfqDQ21QtKQIXDVVVCrlq1likjpXK1NFwC6VUP8kYKTVH27d1sT8+7de/y5rl2tlqXrrz8+lYqI+L2VzrUu04m/UnCSqu/w4eOh6aGHYPhwaNnS3ppE5JS4Wpl22VqFSMnUI1aqvvh4awFITFRoEqnCXNO3LwCO2lmISAkUnKTqCwmB3r2t7eXLS99XRPzaJUAz4A9gic21iBRHwUkCg4KTSEAIBW52bs+1sxCREig4SdWWkQFz51pDDwBs2gS//25vTSLyl/zduV6GRg8X/6PO4VK15OTAZ59ZLUvLl8PPP3u+Hh8PkZF2VCYiFSQa6//qC4FjNtcicjIFJ/Fv+fmwZg2sWGEFpTVrrLnmXKpVg/POg0susS7XJSZqYEuRKu4zrNDUFoi1txSRIhScxD/t3w+33w4ffQSHDnm+1rq1FZJ694YePaBePVtKFBHfWOFcaywn8UcKTuKfPvkE3nrL2m7QwGpRci2uoQdEJCBtcq7/ZmsVIsVTcBL/5Oqn1L49pKVpEl6RIOLqpZhraxUixdO3kfgn1+W3Q4cUmkSCTJRznW1rFSLF0zeS+Kf69a31H3/YW4eIVDpXcDpgZxEiJVBwEv/kanE6cMDzLjoRCXhqcRJ/puAk/i8vz+4KRKQS1XWuD9hYg0hJFJzEP337rbU+/XSIiLC3FhGpVM4L9ehCvfgjBSfxT+vWWevzzrO3DhGpdK7gtN/WKkSKp+Ak/mntWmut4CQSdBScxJ8pOIn/OXZMwUkkiCk4iT9TcBL/cvgwXHMNZGZag2B27Gh3RSJSyVyzTf5paxUixdPI4eI/du+GK66wWptq1IBXXoGaNe2uSkQq2VbnOt7OIkRKoOAk/mHzZrj0UvjtN2tuuiVLoGtXu6sSERtsca5Pt7UKkeL59FLdlClT6Nq1KzVr1qRu3brF7hMSElJkmT17tsc+GzZsoHv37kRERNC0aVOSk5MxxviydKlMq1dbIem336BVq+OPRSQouYJTa1urECmeT1uc8vLyuP7660lMTGTOnDkl7jd37lz69evnfhwVFeXezsnJoXfv3vTs2ZO1a9eyefNmkpKSiIyMZOzYsb4sXyrD0qVw1VVw9KjVEfz996FRI7urEhEb/eJcq8VJ/JFPg9PkyZMBmDdvXqn71a1bl5iYmGJfW7BgAUePHmXevHk4HA7atWvH5s2bmTFjBmPGjCEkJKSiy5bKNGuWFZo6d4aVK60O4SIS1PKd66XALeguJvEvfvH3OHr0aKKjoznvvPOYPXs2hYWF7tdSUlLo3r07DofD/Vzfvn3ZtWsX27ZtK/Z4ubm55OTkuJeDBw/6+hTkVA0ebK23bgVdfhUR4BEgDHgbmGBzLSInsz04Pfroo7z11lusWLGCwYMHM3bsWB5//HH361lZWTRu3NjjPa7HWVlZxR5z6tSpREVFuZeEhATfnYD8NQMHWtOq7NsHJ/VtE5HgdBHwknN7KjDXxlpETlbu4DRp0qRiO3SfuKxzTZfhhQkTJpCYmEiHDh0YO3YsycnJPPnkkx77nHw5ztUxvKTLdOPHjyc7O9u9bNq0qZxnKZUmNBTGj7e2p0+HPzVyi4jAzRxvbboVWGljLSInKncfp9GjRzPYdXmlBPHx8adaD126dCEnJ4fff/+dxo0bExMTU6Rlaffu3QBFWqJcHA6Hx6W9nJycU65HKsFNN8GkSbBjB7z4Itx1l90ViYgfmIx1h91C4BpgLbrTTuxX7uAUHR1NdHS0L2oBIDU1lRo1ariHL0hMTOTBBx8kLy+P8HBrPNlly5YRGxv7lwKa+JHVqyE319r+8ksFJxEBrEsi87AGxPwGmIN16U7ETj7t47Rjxw7S0tLYsWMHBQUFpKWlkZaWxqFDhwB47733ePHFF9m4cSO//vorL730Eg899BC33nqru8VoyJAhOBwOkpKS2LhxI4sXL+bxxx/XHXWBoKAAkpPh4ovh998hIQGmTLG7KhHxIzWAq5zbxfdqFalcPh2O4JFHHmH+/Pnuxx2d846tXLmSHj16EBYWxqxZsxgzZgyFhYW0atWK5ORkRo0a5X5PVFQUy5cvZ9SoUXTu3Jl69eoxZswYxowZ48vSxdeysqxLdJ98Yj3++99h5kwNRyAiRTRwrvfZWoWIJcQEwRDcGRkZxMXFkZ6eTrNmzewuR374Afr1g4wMay662bNh6FC7qxIRP/U2cD3QDVhlcy3inyrze15z1Unl+vxza6TwAwegbVtYvBjOPNPuqkTEjzl7QFLD1ipELLaP4yRB5M03oU8fKzR162Z1CldoEpEyuC7R1be1ChGLgpNUjqefhkGDIC8Prr4ali+H+vpnUETKtt+5blDqXiKVQ8FJfKuwEMaOBVdn/n/8A956CyIi7K1LRKoMV4uTgpP4A/VxEt/JzIRhw6zWJYB//QvGjQMNIyEi5bDXuVYbtfgDBSfxjQ8/hKQk2LPHal166SUYMsTuqkSkCtrgXLextQoRiy7VScXKzYV774XLL7dC0znnwPr1Ck0ickoOAz86tzvZWYiIk1qcpOL8/DMMHgxpadbju+6CJ56AGrqJWEROzXdAIdDEuYjYTcFJKsbcuTB6NBw5Ag0aWI/797e7KhGp4tY512ptEn+h4CR/3YoVcMst1vbFF8Mrr0BsrL01iUhASHWuFZzEXyg4yV/3+efW+qqr4O23ITTU1nJEJHC4xnDS/4qJv1DncPnrfv7ZWl9wgUKTiFQo13QrDlurEDlOwUn+OldwatvW3jpEJOAoOIm/UXCSv6awELZssbYVnESkgik4ib9RcJK/5rff4M8/ISwMWra0uxoRCTAKTuJvFJzkr3n9dWt9wQVQXfcaiEjFOuxcR9pahchxCk5y6goLYd48a/vvf7e1FBEJTAed69q2ViFynJoI5NQUFMC//21dqqtdG6691u6KRCQAKTiJv1FwkvJbtcqaTiXVOTTdiBFQs6a9NYlIQDriXOtSnfgLXaoT76Wnww03wIUXWqEpKgqeftqaj05EpIIdAwqc2+ocLv5CLU5Stj//hCefhGnTrO2QEBg5Eh57DBo2tLs6EQlQuSdsa6pw8RcKTlIyY+Cdd2DcONi+3Xruwgvh2WehY0d7axORgHdicFKLk/gLBScpXkEBXHMNLFliPY6Ls1qdBg60WpxERHzMFZyqoS8r8R/6W5TiLV1qhSaHA+6/31rUAVxEKtEx51pfVOJP9PcoxZs1y1rfeSdMnmxvLSISlFxfUAWl7iVSuXRXnRS1dSt8+KG1ffvt9tYiIkEr1LkuAIydhYicQMFJivrvf62O4b17Q5s2dlcjIkEq9ITtQtuqEPGk4CSecnNhzhxr+8477a1FRILaiX1JjpW4l0jlUnAST8uXw9690KQJXHGF3dWISBA7ceymQ7ZVIeJJwUk8LV5sra+5Bqrr3gERsY8DaODczrSzEJET+DQ4TZkyha5du1KzZk3q1q1b5PV58+YREhJS7LJ7924Atm3bVuzrH3/8sS9LD07Hjh0ft+maa+ytRUQEiHWud9lahchxPm1SyMvL4/rrrycxMZE5rn4zJxg0aBD9+vXzeC4pKYmjR4/SqFEjj+dXrFjBWWed5X5cv3593xQdzL76yrpMV78+XHSR3dWIiNAU2ADstLsQESefBqfJzvF/5s2bV+zrERERREREuB/v2bOHTz/9tNiQ1aBBA2JiYnxSpzi5LtP176/LdCLiF9TiJP7Gr/o4/e9//6NmzZpcd911RV4bMGAAjRo1olu3brz99ts2VBcE1q+31n372luHiIhTY+d6t61ViBznV80KL7/8MkOGDPFohapVqxYzZsygW7duVKtWjSVLljBo0CDmz5/PTTfdVOxxcnNzyc09Pj3kwYMHfV57QNi3z1qrZU9E/ESUc51jaxUix5W7xWnSpEklduh2LevWrSt3ISkpKWzatInhw4d7PB8dHc29997L+eefT+fOnUlOTubOO+/kX//6V4nHmjp1KlFRUe4lISGh3PUEJVdwatCg9P1ERCpJHedawUn8RblbnEaPHs3gwYNL3Sc+Pr7chbz00kt06NCBTp06lblvly5deOmll0p8ffz48YwZM8b9eOfOnQpPZTEG9u+3ttXxXkT8hIKT+JtyB6fo6Giio6MrtIhDhw7x5ptvMnXqVK/2T01NpUmTJiW+7nA4cDgc7sc5OfpPrkwHD1rDEYBanETEbyg4ib/xaR+nHTt2sH//fnbs2EFBQQFpaWkAtG7dmlq1arn3W7hwIceOHePGG28scoz58+cTFhZGx44dqVatGu+99x7//ve/eeKJJ3xZevBZu9ZaR0fDCX3MRETsVNe53m9nESIn8GlweuSRR5g/f777cceOHQFYuXIlPXr0cD8/Z84crrnmGurVq1fscR577DG2b99OaGgobdq04eWXXy6xY7icoldftdbF3NEoImIX14h+uqtO/EWIMcbYXYSvZWRkEBcXR3p6Os2aNbO7HP9z5Ih1J93Bg/Dll3DBBXZXJCICwAHA9b/Uf+I5f52IS2V+z/vVOE5ik/fes0JTfDx07Wp3NSIiblFAuHP7dzsLEXFScJLjl+luvBGq6U9CRPxHCLpcJ/5F35LBLisLPvrI2i6mc76IiN1c066k21qFiEXBKdi98goUFECXLnDmmXZXIyJSxOnO9RZbqxCxKDgFM2Pg5Zet7ZNGbBcR8RdtnOvNtlYhYlFwCmYpKfDTT1CzJgwcaHc1IiLFUnASf6LgFMxcrU3XXw916pS+r4iITRScxJ8oOAWrY8fgnXes7b//3d5aRERK0cq53o01lpOInRScgtXq1XDggDUvnQa8FBE/FgWEOrf/sLMQERScgtd771nryy6D0NDS9xURsVEIx0cP15x1YjcFp2D1/vvW+oor7K1DRMQL9Z1rtTiJ3RScgtHPP1t301WvDn372l2NiEiZXMFJLU5iNwWnYHPwIAwebG1ffDFERdlbj4iIF1zTtn5uaxUiCk7BJT/fGnogLQ0aNYLnn7e7IhERr9ziXL8EZNtZiAQ9BadgYQzcdhssXWoNePn++9CqVdnvExHxA/2ABOAg8KLNtUhwU3AKFgsXwty5UK2atX3eeXZXJCLitRBgrHN7tp2FSNBTcAoGf/4J999vbU+cqDvpRKRKGghUB34FfrO5FgleCk7B4NlnYccOaNYMxo2zuxoRkVNSC0h0bn9iZyES1BScAt3u3fD449b21KlW/yYRkSrqEud6ha1VSDBTcAp0EydaQxB07gxDhthdjYjIX+IKTp8AhXYWIkFLwSmQHTgALzrvP3nqKatjuIhIFXYe1iW7fcCPNtciwUnfpIHs11+hoABiYuCii+yuRkTkLwsDYpzbB2ysQ4KXglMg277dWsfH21qGiEhFinCu/7S1CglWCk6BbNs2a92iha1liIhUpBrO9VFbq5BgpeAUyN5+21rXr1/6fiIiVcha5/qQrVVIsFJwCmQpKdZac9KJSAB61e4CJCgpOAUy1/ADixfbW4eISAVyDYL5tK1VSLCqbncB4kMLFliLiEgAWW13ARLU1OIkIiIi4iUFJxEREREvKTiJiIiIeMlnwWnbtm0MHz6cli1bEhERwWmnncbEiRPJy8vz2G/Hjh3079+fyMhIoqOjueuuu4rss2HDBrp3705ERARNmzYlOTkZY4yvShcREREpls86h//0008UFhby3//+l9atW7Nx40ZGjhzJ4cOHmT59OgAFBQVcfvnlNGzYkFWrVrFv3z6GDRuGMYaZM2cCkJOTQ+/evenZsydr165l8+bNJCUlERkZydixY31VvoiIiEgRIaYSm26efPJJnn/+eX777TcAPvroI6644grS09OJjY0F4I033iApKYndu3dTp04dnn/+ecaPH8/vv/+Ow+EAYNq0acycOZOMjAxCQkLK/LkZGRnExcWRnp5Os2bNfHeCIiIiUukq83u+Uvs4ZWdnU/+EUaxTUlJo166dOzQB9O3bl9zcXNavX+/ep3v37u7Q5Npn165dbHNNKSIiIiJSCSptHKdff/2VmTNn8tRTT7mfy8rKonHjxh771atXj/DwcLKystz7xJ80Sa3rPVlZWbRs2bLIz8rNzSU3N9f9ODs7G4DMzMwKORcRERHxH67v95ycHIwxXl2NOlXlDk6TJk1i8uTJpe6zdu1aOnfu7H68a9cu+vXrx/XXX8+IESM89i3u5E4+6ZP3cV1dLOkXM3Xq1GJrPP/880utW0RERKqus846i+zsbOrUqeOzn1Hu4DR69GgGDx5c6j4nthDt2rWLnj17kpiYyAsvvOCxX0xMDGvWrPF47o8//iA/P9/dqhQTE+NufXLZvXs3QJHWKpfx48czZswY9+P9+/fTsmVLNm7cSFRUVOknGIQOHjxIQkICmzZtonbt2naX45f0Oyqdfj+l0++nbPodlU6/n9JlZ2fTrl07tm3b5vPfT7mDU3R0NNHR0V7tu3PnTnr27EmnTp2YO3cu1ap5dqlKTExkypQpZGZm0qRJEwCWLVuGw+GgU6dO7n0efPBB8vLyCA8Pd+8TGxtb5BKei8Ph8OgT5RIXF+fTFFpV5eTkANC0aVP9fkqg31Hp9PspnX4/ZdPvqHT6/ZTO9TupV6+eTy/TgQ87h+/atYsePXoQFxfH9OnT2bNnD1lZWR6tR3369CEhIYGhQ4eSmprKJ598wrhx4xg5cqT7lzBkyBAcDgdJSUls3LiRxYsX8/jjjzNmzBif/3JERERETuSzzuHLli3jl19+4Zdffilya6Crj1JoaCgffPABd955J926dSMiIoIhQ4a4x3kCiIqKYvny5YwaNYrOnTtTr149xowZ43EpTkRERKQy+Cw4JSUlkZSUVOZ+zZs35/333y91n/bt2/PFF1+cci0Oh4OJEycWe/lO9Pvxhn5HpdPvp3T6/ZRNv6PS6fdTusr8/VTqAJgiIiIiVZkm+RURERHxkoKTiIiIiJcUnERERES8FNDBKT4+npCQkCLLqFGj7C7NLxw7dowJEybQsmVLIiIiaNWqFcnJyRQWFtpdmt84ePAg99xzDy1atCAiIoKuXbuydu1au8uyzRdffEH//v2JjY0lJCSEd9991+N1YwyTJk0iNjaWiIgIevTowQ8//GBPsTYo6/ezaNEi+vbtS3R0NCEhIaSlpdlSp11K+/3k5+dz//330759eyIjI4mNjeXmm29m165d9hVsg7L+hiZNmsQZZ5xBZGQk9erV45JLLikykHQgK+v3c6LbbruNkJAQnnnmmQqtIaCD09q1a8nMzHQvy5cvB+D666+3uTL/8MQTTzB79myee+45fvzxR/71r3/x5JNPMnPmTLtL8xsjRoxg+fLlvPLKK2zYsIE+ffpwySWXsHPnTrtLs8Xhw4c555xzeO6554p9/V//+hczZszgueeeY+3atcTExNC7d28OHjxYyZXao6zfz+HDh+nWrRvTpk2r5Mr8Q2m/nyNHjvDtt9/y8MMP8+2337Jo0SI2b97MgAEDbKjUPmX9DbVp04bnnnuODRs2sGrVKuLj4+nTpw979uyp5ErtUdbvx+Xdd99lzZo1xMbGVnwRJojcfffd5rTTTjOFhYV2l+IXLr/8cnPLLbd4PHfNNdeYm266yaaK/MuRI0dMaGioef/99z2eP+ecc8xDDz1kU1X+AzCLFy92Py4sLDQxMTFm2rRp7ueOHj1qoqKizOzZs22o0F4n/35OtHXrVgOY1NTUSq3Jn5T2+3H55ptvDGC2b99eOUX5GW9+R9nZ2QYwK1asqJyi/EhJv5+MjAzTtGlTs3HjRtOiRQvz9NNPV+jPDegWpxPl5eXx6quvcsstt2jEcacLLriATz75hM2bNwPw3XffsWrVKi677DKbK/MPx44do6CggBo1ang8HxERwapVq2yqyn9t3bqVrKws+vTp437O4XDQvXt3Vq9ebWNlUlVlZ2cTEhJC3bp17S7FL+Xl5fHCCy8QFRXFOeecY3c5fqGwsJChQ4dy3333cdZZZ/nkZ/hsAEx/8+6773LgwAGvBuUMFvfffz/Z2dmcccYZhIaGUlBQwJQpU7jhhhvsLs0v1K5dm8TERB599FHOPPNMGjduzOuvv86aNWs4/fTT7S7P77imUzp58u3GjRuzfft2O0qSKuzo0aM88MADDBkyRHOzneT9999n8ODBHDlyhCZNmrB8+XKv55ANdE888QTVq1fnrrvu8tnPCJoWpzlz5nDppZf65npnFbVw4UJeffVVXnvtNb799lvmz5/P9OnTmT9/vt2l+Y1XXnkFYwxNmzbF4XDw73//myFDhhAaGmp3aX7r5BZdY4xaeaVc8vPzGTx4MIWFhcyaNcvucvxOz549SUtLY/Xq1fTr14+BAweye/duu8uy3fr163n22WeZN2+eT//NCYrgtH37dlasWMGIESPsLsWv3HfffTzwwAMMHjyY9u3bM3ToUO69916mTp1qd2l+47TTTuPzzz/n0KFDpKen880335Cfn0/Lli3tLs3vxMTEAHhM5A2we/fuIq1QIiXJz89n4MCBbN26leXLl6u1qRiRkZG0bt2aLl26MGfOHKpXr86cOXPsLst2X375Jbt376Z58+ZUr16d6tWrs337dsaOHUt8fHyF/ZygCE5z586lUaNGXH755XaX4leOHDlCtWqefwKhoaEajqAYkZGRNGnShD/++IOlS5dy5ZVX2l2S32nZsiUxMTHuu1fB6oPx+eef07VrVxsrk6rCFZq2bNnCihUraNCggd0lVQnGGHJzc+0uw3ZDhw7l+++/Jy0tzb3ExsZy3333sXTp0gr7OQHfx6mwsJC5c+cybNgwqlcP+NMtl/79+zNlyhSaN2/OWWedRWpqKjNmzOCWW26xuzS/sXTpUowxtG3bll9++YX77ruPtm3b8ve//93u0mxx6NAhfvnlF/fjrVu3kpaWRv369WnevDn33HMPjz/+OKeffjqnn346jz/+ODVr1mTIkCE2Vl15yvr97N+/nx07drjHJvr5558Bq7XO1WIXyEr7/cTGxnLdddfx7bff8v7771NQUOBuvaxfvz7h4eF2lV2pSvsdNWjQgClTpjBgwACaNGnCvn37mDVrFhkZGUEzzE5Z/42dHLbDwsKIiYmhbdu2FVdEhd6j54eWLl1qAPPzzz/bXYrfycnJMXfffbdp3ry5qVGjhmnVqpV56KGHTG5urt2l+Y2FCxeaVq1amfDwcBMTE2NGjRplDhw4YHdZtlm5cqUBiizDhg0zxlhDEkycONHExMQYh8NhLrroIrNhwwZ7i65EZf1+5s6dW+zrEydOtLXuylLa78c1RENxy8qVK+0uvdKU9jv6888/zdVXX21iY2NNeHi4adKkiRkwYID55ptv7C670pT139jJfDEcQYgxxlRcDBMREREJXEHRx0lERESkIig4iYiIiHhJwUlERETESwpOIiIiIl5ScBIRERHxkoKTiIiIiJcUnERERES8pOAkIiIi4iUFJxEREREvKTiJiIiIeEnBSURERMRLCk4iIiIiXlJwEhEREfGSgpOIiIiIlxScRERERLyk4CQiIiLiJQUnERERES8pOImIiIh4qcoFp+eff56zzz6bOnXqUKdOHRITE/noo4/cry9atIi+ffsSHR1NSEgIaWlpXh33nXfeISEhAYfDQUJCAosXL/bRGZw6X5z7vHnzCAkJKbIcPXrUh2dSfqWde35+Pvfffz/t27cnMjKS2NhYbr75Znbt2lXmcav6536q515VPnco++9+0qRJnHHGGURGRlKvXj0uueQS1qxZU+Zxq/pnD6d27lXlsy/r3E902223ERISwjPPPFPmcavC5w6+Of9A+eyTkpKKnEOXLl3KPG5FffZVLjg1a9aMadOmsW7dOtatW8fFF1/MlVdeyQ8//ADA4cOH6datG9OmTfP6mCkpKQwaNIihQ4fy3XffMXToUAYOHOjVP76VyRfnDlCnTh0yMzM9lho1avjiFE5Zaed+5MgRvv32Wx5++GG+/fZbFi1axObNmxkwYECpxwyEz/1Uzx2qxucOZf/dt2nThueee44NGzawatUq4uPj6dOnD3v27CnxmIHw2cOpnTtUjc++rHN3effdd1mzZg2xsbFlHrOqfO7gm/OHwPns+/Xr53EOH374YanHrNDP3gSAevXqmZdeesnjua1btxrApKamlvn+gQMHmn79+nk817dvXzN48OCKLNMn/uq5z50710RFRfmmOB8r7txdvvnmGwOY7du3l/j+QPvcXbw596r8uRtT+vlnZ2cbwKxYsaLE9wfqZ+/NuVflz/7kc8/IyDBNmzY1GzduNC1atDBPP/10qe+vyp+7MX/9/APlsx82bJi58sory/X+ivzsq1yL04kKCgp44403OHz4MImJiad8nJSUFPr06ePxXN++fVm9evVfLdFnKurcAQ4dOkSLFi1o1qwZV1xxBampqRVUpW94c+7Z2dmEhIRQt27dEo8TqJ+7N+cOVe9zh7LPPy8vjxdeeIGoqCjOOeecEo8TiJ+9t+cOVe+zL+7cCwsLGTp0KPfddx9nnXWWV8epip87VNz5Q2B89gCfffYZjRo1ok2bNowcOZLdu3eXepwK/ezLHbX8wPfff28iIyNNaGioiYqKMh988EGRfcrT6hIWFmYWLFjg8dyCBQtMeHh4RZVcYSr63FNSUswrr7xi0tLSzBdffGGuvfZaExERYTZv3uyD6v8ab87dGGP+/PNP06lTJ3PjjTeWerxA+9yN8f7cq9LnbkzZ5//ee++ZyMhIExISYmJjY80333xT6vEC6bMv77lXpc++tHN//PHHTe/evU1hYaExxnjV4lKVPndjKv78A+Wzf+ONN8z7779vNmzYYJYsWWLOOeccc9ZZZ5mjR4+WeLyK/OyrZHDKzc01W7ZsMWvXrjUPPPCAiY6ONj/88IPHPuUNTq+99prHc6+++qpxOBwVWXaFqOhzP1lBQYE555xzzD/+8Y8KqrjieHPueXl55sorrzQdO3Y02dnZpR4v0D738pz7yfz5czem7PM/dOiQ2bJli0lJSTG33HKLiY+PN7///nuJxwukz768534yf/7sSzr3devWmcaNG5udO3e69/U2OFWVz92Yij//k1XFz744u3btMmFhYeadd94p8XgV+dlXyeB0sl69eplbb73V47nyhIe4uDgzY8YMj+dmzJhhmjdvXpFl+sRfPffijBgxosi1YH908rnn5eWZq666ypx99tlm7969Zb4/kD738p57carK525M8X/3J2rdurV5/PHHS3w9kD77k5V17sWpKp+969yffvppExISYkJDQ90LYKpVq2ZatGhR4vur8uduzF8//+JUtc++JK1btzbTpk0r8fWK/OyrdB8nF2MMubm5p/z+xMREli9f7vHcsmXL6Nq1618tzef+6rkXd7y0tDSaNGlSYcf0lRPPPT8/n4EDB7JlyxZWrFhBgwYNynx/oHzup3LuxR2vqnzuUPbffVmvB8pnfyqvF7d/VfnsXec2dOhQvv/+e9LS0txLbGws9913H0uXLi3x/VX5c4e/fv7FHa+qffbF2bdvH+np6aWeR4V+9uWOWjYbP368+eKLL8zWrVvN999/bx588EFTrVo1s2zZMmOMMfv27TOpqanmgw8+MIB54403TGpqqsnMzHQfY+jQoeaBBx5wP/7qq69MaGiomTZtmvnxxx/NtGnTTPXq1c3XX39d6edXGl+c+6RJk8zHH39sfv31V5Oammr+/ve/m+rVq5s1a9ZU+vmVprRzz8/PNwMGDDDNmjUzaWlpJjMz073k5ua6jxGIn/upnntV+dyNKf38Dx06ZMaPH29SUlLMtm3bzPr1683w4cONw+EwGzdudB8jED/7Uz33qvLZl/Xv3cmKu1RVVT93Y3xz/oHw2R88eNCMHTvWrF692mzdutWsXLnSJCYmmqZNm5qcnBz3MXz52Ve54HTLLbeYFi1amPDwcNOwYUPTq1cvjz+kuXPnGqDIMnHiRPc+3bt3N8OGDfM47ltvvWXatm1rwsLCzBlnnFHqtVK7+OLc77nnHtO8eXP3Mfv06WNWr15diWflndLO3XVpsrhl5cqV7mME4ud+qudeVT53Y0o//z///NNcffXVJjY21oSHh5smTZqYAQMGFOkgHYif/amee1X57Mv69+5kxQWHqvq5G+Ob8w+Ez/7IkSOmT58+pmHDhiYsLMw0b97cDBs2zOzYscPjGL787EOMMab87VQiIiIiwScg+jiJiIiIVAYFJxEREREvKTiJiIiIeEnBSURERMRLCk4iIiIiXlJwEhEREfGSgpOIiIiIl4IiOOXm5jJp0qQKnZqkqgjmc4fgPn+de3CeOwT3+evcg/PcofLOv8oMgDlr1iyefPJJMjMzOeuss3jmmWe48MILvXpvTk4OUVFRZGdnU6dOHR9X6l+C+dwhuM9f5x6c5w7Bff469+A8d6i8868SLU4LFy7knnvu4aGHHiI1NZULL7yQSy+9lB07dthdmoiIiASRKhGcZsyYwfDhwxkxYgRnnnkmzzzzDHFxcTz//PN2lyYiIiJBpLrdBZQlLy+P9evX88ADD3g836dPH1avXl3se3Jzcz2uce7fvx+A9PR0oqKifFesHzp48CAAO3fuJCcnx+ZqKl8wn7/OPTjPHYL7/HXuwXnuhYWF/PrrrwD4vAfSKU0NXIl27txpAPPVV195PD9lyhTTpk2bYt8zceLEEmeM16JFixYtWrQE7rJ7926f5hK/b3FyCQkJ8XhsjCnynMv48eMZM2aM+3F6ejrt2rXjm2++oUmTJj6tU0RERCpXZmYm559/Pj/88APR0dE+/Vl+H5yio6MJDQ0lKyvL4/ndu3fTuHHjYt/jcDhwOBzux67Lc02aNKFZs2a+K1ZERERsU6dOnRIbVSqK33cODw8Pp1OnTixfvtzj+eXLl9O1a1ebqhIREZFg5PctTgBjxoxh6NChdO7cmcTERF544QV27NjB7bffbndpIiIiEkSqRHAaNGgQ+/btIzk5mczMTNq1a8eHH35IixYt7C5NREREgkiVCE4Ad955J3feeafdZYiIiEgQ8/s+ThLYdu/ezW233Ubz5s1xOBzExMTQt29fUlJS3PuEhITw7rvvVsjP27ZtGyEhIaSlpZW632effUZISAgHDhwo8lqHDh2YNGmSe5/Slnnz5gHwzjvv0KNHD6KioqhVqxZnn302ycnJ7jHGvLFo0SJ69+5Nw4YNqVOnDomJiSxdurTIfu+88w4JCQk4HA4SEhJYvHixx+tTp07lvPPOo3bt2jRq1IirrrqKn3/+2f16fn4+999/P+3btycyMpLY2Fhuvvlmdu3aVWaNf/zxB0OHDiUqKoqoqCiGDh1a5Hd4991306lTJxwOBx06dPD6/D///HM6depEjRo1aNWqFbNnz/Z4/YcffuDaa68lPj6ekJAQnnnmGa+Ou2HDBrp3705ERARNmzYlOTm5xHFgvvrqK6pXr16uuo0xXHrppUX+jkv7+1m7dm2pxyzrMwZrmqqWLVtSo0YNOnXqxJdfful1zSJSMgUnsdW1117Ld999x/z589m8eTNLliyhR48e5QoU3srLy6vQ43Xt2pXMzEz3MnDgQPr16+fx3KBBg3jooYcYNGgQ5513Hh999BEbN27kqaee4rvvvuOVV17x+ud98cUX9O7dmw8//JD169fTs2dP+vfvT2pqqnuflJQUBg0axNChQ/nuu+8YOnQoAwcOZM2aNe59Pv/8c0aNGsXXX3/N8uXLOXbsGH369OHw4cMAHDlyhG+//ZaHH36Yb7/9lkWLFrF582YGDBhQZo1DhgwhLS2Njz/+mI8//pi0tDSGDh3qsY8xhltuuYVBgwZ5fe5bt27lsssu48ILLyQ1NZUHH3yQu+66i3feece9z5EjR2jVqhXTpk0jJibGq+Pm5OTQu3dvYmNjWbt2LTNnzmT69OnMmDGjyL7Z2dncfPPN9OrVy+u6AZ555pli7/I5+e8nMzOTESNGEB8fT+fOnUs8njefsaapEvEhn44S5SfS09MNYNLT0+0uRU7wxx9/GMB89tlnJe7TokULj4HNWrRoYYwx5pdffjEDBgwwjRo1MpGRkaZz585m+fLlRd776KOPmmHDhpk6deqYm2++uchAad27dy/2565cudIA5o8//ijy2jnnnGMmTpxY5Plhw4aZK6+80uO5NWvWGMA888wzJf4O/oqEhAQzefJk9+OBAweafv36eezTt29fM3jw4BKPsXv3bgOYzz//vMR9vvnmGwOY7du3l7jPpk2bDGC+/vpr93MpKSkGMD/99FOR/SdOnGjOOeecEo93on/+85/mjDPO8HjutttuM126dCl2/xYtWpinn366zOPOmjXLREVFmaNHj7qfmzp1qomNjTWFhYUe+w4aNMhMmDChXHWnpaWZZs2amczMTAOYxYsXl7hvXl6eadSokUlOTi71mN58xueff765/fbbPfY544wzzAMPPOBV3SJVTWV+z6vFSWxTq1YtatWqxbvvvusxRc6JXJcs5s6dS2ZmpvvxoUOHuOyyy1ixYgWpqan07duX/v37F/k/6ieffJJ27dqxfv16Hn74Yb755hsAVqxYQWZmJosWLfLhGcKCBQuoVatWif3z6tatCxy/hPjZZ595fezCwkIOHjxI/fr13c+lpKTQp08fj/369u1b4vREYLWkAB7HKW6fkJAQd73FSUlJISoqir/97W/u57p06UJUVFSpP98bJZ3XunXryM/P/0vH7d69u8e4b3379mXXrl1s27bN/dzcuXP59ddfmThxYrHHcV12O/E9R44c4YYbbuC5557zqgVsyZIl7N27l6SkJI/n4+PjmTRpkkfNpX3GrmmqTt6ntGmqRMR7Ck5im+rVqzNv3jzmz59P3bp16datGw8++CDff/+9e5+GDRsCVsCIiYlxPz7nnHO47bbbaN++PaeffjqPPfYYrVq1YsmSJR4/4+KLL2bcuHG0bt2a1q1bu9/foEEDYmJiSg0LFWHLli20atWKsLCwUvcLCwujbdu21KxZ0+tjP/XUUxw+fJiBAwe6n8vKyioyMGzjxo2LDCDrYoxhzJgxXHDBBbRr167YfY4ePcoDDzzAkCFDqFOnTon1ZGVl0ahRoyLPN2rUqMSf762SzuvYsWPs3bu3wo/reg2sz/CBBx5gwYIFVK9e/P00NWvWpG3bth6f87333kvXrl258sorvaplzpw59O3bl7i4OI/nTzvtNI+RkMv6jPfu3UtBQUG5/g5ExHsKTmKra6+9ll27drFkyRL69u3LZ599xrnnnuvuVF2Sw4cP889//pOEhATq1q1LrVq1+Omnn4q0OJXWV6QymFKmBjpR06ZN+emnnzj//PO9Ou7rr7/OpEmTWLhwYZGwUp7piUaPHs3333/P66+/Xuzr+fn5DB48mMLCQmbNmuV+/vbbb3e3GNaqVavEn13Wzy/Oicc9cay24s6rpJ9ZHqUdt6CggCFDhjB58mTatGlT4jHOP/98fvrpJ5o2bQpYrUeffvqp1x3UMzIyWLp0KcOHDy/y2ieffMLo0aPLrPnk58rzdyAi3qsywxFI4KpRowa9e/emd+/ePPLII4wYMYKJEycWuWRxovvuu4+lS5cyffp0WrduTUREBNddd12RDuCRkZGnVJOrZSU7O7vI5akDBw64p/EpS5s2bVi1ahX5+flltjp5a+HChQwfPpy33nqLSy65xOO1mJgYr6cn+sc//sGSJUv44osvip2KKD8/n4EDB7J161Y+/fRTj9am5ORkxo0bV+Rn//7770WOs2fPnhKnRyrOiXc8un5mSedVvXp1GjRo4PWxT1bSccFqoTl48CDr1q0jNTXVHV4KCwsxxlC9enWWLVvGxRdfXOS4n376Kb/++muRv51rr72WCy+8sMgl2blz59KgQQOvOuCX9RmfyjRVIuI9tTiJ30lISHDf4QXWZayCggKPfb788kuSkpK4+uqrad++PTExMR79S0oSHh4OUOR4Jzv99NOpVq1akdvCMzMz2blzJ23btvXqXIYMGcKhQ4c8WmtOVNxwB6V5/fXXSUpK4rXXXuPyyy8v8npiYmKR6YmWLVvmMT2RMYbRo0ezaNEiPv30U1q2bFnkOK7QtGXLFlasWFEknDRq1Mh9+bN169bun52dne3uRwawZs0asrOzyzU90onHdbWmlXRenTt3/kuBNDExkS+++MIjcC9btozY2Fji4+OpU6cOGzZsIC0tzb3cfvvttG3blrS0NI/+XCd64IEH+P777z3eB/D0008zd+5cj32NMcydO5ebb77Zq3Mp6zPWNFUiPubz7ud+QHfV+ae9e/eanj17mldeecV899135rfffjNvvvmmady4sbnlllvc+51++unmjjvuMJmZmWb//v3GGGOuuuoq06FDB5OammrS0tJM//79Te3atc3dd9/tfl9xd1bl5+ebiIgI89hjj5msrCxz4MCBEuu74447TPPmzc3ixYvNb7/9ZlatWmW6d+9u2rdvb/Lz84vsX9xddcZYd4SFhoaa++67z6xevdps27bNrFixwlx33XXuu+0yMjJM27ZtzZo1a0qs57XXXjPVq1c3//nPf0xmZqZ7OfEcvvrqKxMaGmqmTZtmfvzxRzNt2jRTvXp1jzvd7rjjDhMVFWU+++wzj+McOXLE/TsaMGCAadasmUlLS/PYJzc3t8T6jDGmX79+5uyzzzYpKSkmJSXFtG/f3lxxxRUe+2zZssWkpqaa2267zbRp08akpqaa1NTUUo/922+/mZo1a5p7773XbNq0ycyZM8eEhYWZt99+271Pbm6u+1hNmjQx48aNM6mpqWbLli0lHvfAgQOmcePG5oYbbjAbNmwwixYtMnXq1DHTp08v8T3F3VW3Zs0a07ZtW5ORkVHi+yjhrroVK1YYwGzatKnY91188cVm5syZ7sfefMZvvPGGCQsLM3PmzDGbNm0y99xzj4mMjDTbtm0rsT6Rqqwyv+cVnMQ2R48eNQ888IA599xzTVRUlKlZs6Zp27atmTBhgvtL3BhjlixZYlq3bm2qV6/uHo5g69atpmfPniYiIsLExcWZ5557znTv3r3M4GSMMS+++KKJi4sz1apVK3E4Ald9ycnJ5swzzzQRERGmRYsWJikpyWRmZha7f0nByRhjFi5caC666CJTu3ZtExkZac4++2yTnJzsHo5g69atBjArV64ssZ7u3bsXGU4BMMOGDfPY76233jJt27Y1YWFh5owzzjDvvPOOx+vFHQMwc+fO9ailuKW0+owxZt++febGG280tWvXNrVr1zY33nhjkSEXSjqPrVu3lnrszz77zHTs2NGEh4eb+Ph48/zzz3u8XlLdpX3Gxhjz/fffmwsvvNA4HA4TExNjJk2aVGQoghMVF5xcw1eUdg4lBacbbrjBdO3atcT3tWjRosjwF2V9xsYY85///Me0aNHChIeHm3PPPbfU4SZEqrrK/J4PMaaEIXIDSEZGBnFxcaSnpxfbl0NERESqrsr8nlcfJxEREREvKTiJiIiIeEnBSURERMRLCk4iIiIiXlJwEhEREfGSgpOIiIiIlxScRERERLyk4CQiIiLiJQUnERERES8pOImIiIh4ScFJRERExEsKTiIiIiJeUnASERER8ZKCk4iIiIiXFJxEREREvKTgJCIiIuIlBScRERERLyk4iYiIiHhJwUlERETES7YFp23btjF8+HBatmxJREQEp512GhMnTiQvL89jv5CQkCLL7NmzbapaREREgll1u37wTz/9RGFhIf/9739p3bo1GzduZOTIkRw+fJjp06d77Dt37lz69evnfhwVFVXZ5YqIiIjYF5z69evnEYZatWrFzz//zPPPP18kONWtW5eYmJjKLlHkL/sMeBw4F5hmbymV4+mn4b33YPRouOYau6sREalwftXHKTs7m/r16xd5fvTo0URHR3Peeecxe/ZsCgsLbahOpPx2AcuBdXYXUll++glWroS0NLsrERHxCdtanE7266+/MnPmTJ566imP5x999FF69epFREQEn3zyCWPHjmXv3r1MmDChxGPl5uaSm5vrfnzw4EGf1S1SmgLnOtTWKirRaadZ619/tbcOEREfqfAWp0mTJhXbofvEZd06z///3rVrF/369eP6669nxIgRHq9NmDCBxMREOnTowNixY0lOTubJJ58stYapU6cSFRXlXhISEir6NEW84gpOftW060uu4PTbb/bWISLiIxXe4jR69GgGDx5c6j7x8fHu7V27dtGzZ08SExN54YUXyjx+ly5dyMnJ4ffff6dx48bF7jN+/HjGjBnjfrxz506FJ7GF66Jy0AUntTiJSICq8OAUHR1NdHS0V/vu3LmTnj170qlTJ+bOnUu1amV/vaSmplKjRg3q1q1b4j4OhwOHw+F+nJOT41U9IhUt3LnOLXWvANKsmbXeswfy8iA8vPT9RUSqGNv6OO3atYsePXrQvHlzpk+fzp49e9yvue6ge++998jKyiIxMZGIiAhWrlzJQw89xK233uoRjET8VYRz/aetVVSi+vUhLAzy8+H33yEuzu6KREQqlG3BadmyZfzyyy/88ssvNHP9X6qTMQaAsLAwZs2axZgxYygsLKRVq1YkJyczatQoO0oWKbegC07VqkHjxpCRAVlZCk4iEnBsC05JSUkkJSWVus/JYz2JVDVBF5wAmjSxglNmpt2ViIhUuKDpsypih6ANTmC1OImIBBgFJxEfco3fFFRDtrqmRNJNGSISgBScRHwoxLk2tlZRyWrVstaHDtlbh4iIDyg4ifhQSNm7BB5XcNKI/SISgBScRKRiuVqaatSwtw4RER9QcBLxIVffpqCZqw6OT7fiGkVcRCSAKDiJ+FDQzVUHx4NTq1b21iEi4gNB9e+5SGULuhanggLYts3aVnASkQCk4CTiQ0E3ye/OndZ0K2Fh0LSp3dWIiFS4oPn3XMQOx5zroGlxynVOZ+xwQGjQnLWIBBEFJxEfyneuw2ytohI1amStDx2CP4NqvHQRCRIKTiI+FHTBqU4dCA+3tnfvtrcWEREfUHAS8SFXcLJtNu3KFhICdeta29nZtpYiIuILCk4iPuQKTuG2VlHJjh611jVr2luHiIgPKDiJ+FCecx00l+qMOT5yeGSkvbWIiPiAgpOIDwVdH6fcXCh0DsKgFicRCUAKTiI+5Lohv7DUvQKIw2GN4QRw4ICtpYiI+IKCk4gPufo25ZW6VwAJCYEmTaztzEx7axER8QEFJxEfCrrgBApOIhLQFJxEfEjBSUQksCg4ifiQKzjl2lpFJXMFp6wse+sQEfEBBScRH3J1Di+wtYpK5rqbTlOuiEgAUnAS8aGgu6sOoLpznPSCoIqLIhIkFJxEfMj1H1hQBadQZ1w8dszeOkREfEDBScSHXANfBlXn8Bo1rLUu1YlIAFJwEvGhCOf6qK1VVDLXJL8aAFNEApCCk4gPuYJTULW91KtnrRWcRCQAKTiJ+FBQBie1OIlIAFNwEvEhV3DKJ4iGJHAFpz/+sLUMERFfUHAS8aHaJ2wHTYyIi7PW27fDoUP21iIiUsEUnER8KBxo6NzeaWchlalFC2s5dgy++sruakREKpStwSk+Pp6QkBCP5YEHHvDYZ8eOHfTv35/IyEiio6O56667yMsLqpu7pYqLda6DJjgBXHyxtV650t46REQqWHW7C0hOTmbkyJHux7Vq1XJvFxQUcPnll9OwYUNWrVrFvn37GDZsGMYYZs6caUe5IuXW2LneY2sVlaxLF5g7F9LS7K5ERKRC2R6cateuTUxMTLGvLVu2jE2bNpGenk5srPX/7U899RRJSUlMmTKFOnXqVGapIqfENX52eKl7BRhX36b69e2tQ0Skgtnex+mJJ56gQYMGdOjQgSlTpnhchktJSaFdu3bu0ATQt29fcnNzWb9+vR3lipSbayiCGrZWUckyM631Cf/tiogEAltbnO6++27OPfdc6tWrxzfffMP48ePZunUrL730EgBZWVk0btzY4z316tUjPDycrKysEo+bm5tLbm6u+/HBgwd9cwIiXnAFp4hS9wowu3ZZ6yZN7K1DRKSCVXiL06RJk4p0+D55WbduHQD33nsv3bt35+yzz2bEiBHMnj2bOXPmsG/fPvfxQkJCivwMY0yxz7tMnTqVqKgo95KQkFDRpyniNdd0K0HV4uQKTmpxEpEAU+EtTqNHj2bw4MGl7hMfH1/s8126dAHgl19+oUGDBsTExLBmzRqPff744w/y8/OLtESdaPz48YwZM8b9eOfOnQpPYpugvFS303kPoYKTiASYCg9O0dHRREdHn9J7U1NTAWjibN5PTExkypQpZGZmup9btmwZDoeDTp06lXgch8OBw+FwP87JyTmlekQqguuicdBcqisogG3brO2WLW0tRUSkotnWxyklJYWvv/6anj17EhUVxdq1a7n33nsZMGAAzZs3B6BPnz4kJCQwdOhQnnzySfbv38+4ceMYOXKk7qiTKsN1qc5R6l4BJCMD8vMhPByaNrW7GhGRCmVbcHI4HCxcuJDJkyeTm5tLixYtGDlyJP/85z/d+4SGhvLBBx9w55130q1bNyIiIhgyZAjTp0+3q2yRcnO1OAVNcPrtN2sdHw+hobaWIiJS0WwLTueeey5ff/11mfs1b96c999/vxIqEvEN1x0YhbZWUYlcQxE0a2ZvHSIiPmD7OE4igc7VKTy31L0CyB7nGOkNG5a+n4hIFaTgJOJjruB0tNS9AoiCk4gEMAUnER9TcBIRCRwKTiI+5gpOX9haRSVZuxaWLbO2FZxEJAApOIn42EDnejzwMGBsrMVnjhyBceOgSxdrDKeGDeGqq+yuSkSkwik4ifjYw8BE5/ZjwC1Avn3lVLxPP4X27eGpp6CwEG66CTZt0jx1IhKQFJxEfCwEmAS8gPUf3DxgAHDIvpIqxoEDMHIk9Opljd0UFwcffACvvAKnOHuAiIi/U3ASqSQjgf/DmnrlY6AHkGVnQafi2DHYvRvefhsSEuCll6zn77wTNm6Eyy6ztz4RER+zbQBMkWB0BbDSuV4PtAB6YbVA9QcqdYKSY8dg/37Yuxf27bPWruXExyduHzjgeYw2bazwdOGFlVm5iIhtFJxEKtnfgNXA9cB3wEfO5Q6gM1aIGgCcjXWZzysnhqDSgk9pIchbISHWpbgRI+CRR6BGjbLfIyISIBScRGxwOpAK/AQswbqE9zWwzrk8ArTIy2PAnj1cuXUrF/30E2F79lR8CAKoX98KQg0aWOuTt09+XK+e5qATkaCl4CTia0eOWINCnrSE7NnDmc7l/j17+N0Y3j/vPJZccgnLe/dme82azGzalJlNmxLVrh1XvP8+g1avps+yZTjy8or/WfXrlx56Tt6uVw+q658BERFvhRhjAnJYmRNlZGQQFxdHeno6zTTxqPwVxsDBg8UGoRKXI0fK/WOORESw4qqr+L+rr+a9Sy5hT7167teijh7lqh07GLhvH5cUFhLeoIFCkIgEtcr8nte/shLcCguty1zlCUIltfaUJjzcGhSytOWEVqKa9eoxoHp1BgAFWJfx3nIuu2rUYH6bNswH6gFXA4OAnkBYBf1aRESkeApOElgKCqy+P96GoL17rfeUV82aZQehE5fata1O1acgFOjmXGYAXwELgbeB34GXnUsD4Fqskcq7o/+4RUR8Qf+2in/Lyys99Jz83P791uW08qpTp3xBqGbNij9XL1QDLnQuz2LNf/cmVojaizXI5gtAI6wQNQi4ACt8iYjIX6fgJP7DGFi6FP7zH/jxRysI5eSc2rHq1/c+BEVHg8NRsedSCUKxLs/1BGYCn2G1RC0CdgPPO5cmwP+AS2ypUkQksCg4if2OHoUFC2DGDGuOs5NVq2aFG2+DUIMGQddJujpWMLoEmAV8gtUStRjIBEZhDX1wahcLRUTEJbi+XcS/7NkDs2ZZLUx79ljP1a5tDax41VXQqJEVhOrVs8KTeCUM6OdcnsFqcdoMrAG62FeWiEhAUHCSypWXBykpVgvT//4HubnW83FxcPfdVmiKirK3xgBSB6uv0yvAfBScRET+KgUn8S1j4JdfrL5Ly5bBypVw6NDx1887D8aOhWuvDbrLa5XlEqzg9IXdhYiIBAB9U0nFy86GTz+1wtLSpbBtm+frDRtC375w223Qrdsp36YvZTPAi87t7nYWIiISIBSc5K8rKIB166wWpaVL4euvPcdGCguDCy6APn2swHTOOeqzVEmWA6sAB/CQzbWIiAQCBSc5Nenpx4PSihXwxx+er7dpY4WkPn2gRw+oVcuWMoOZASY4t+8EmtpYi4hIoFBwEu9t3Qr//rcVln780fO1qCjo1et4WIqPt6VEOe59YC0QATxgcy0iIoFCwUm8N3IkfPLJ8cf16sHo0dCvH5x/vjp3+5m3nOs/ga5AX6whCnoCav8TETk16mgi3rv/fjjzzOOP//gD3ngDvvji+DhM4jfuAnpgjev0K9bAmAOA+kAv4F/A91iX9ERExDsKTuK93r3hhx9g9WoYPtzqt7RlC4wfb43D1L8/vPsu5OfbXakAnYGVwD7g/7D6ObUE8oFPgfuBc7D6Pv0da7qW/bZUKiJSdYQYcyozolYtGRkZxMXFkZ6eTrNmzewuJ3AcOgRvvQVz5sBXXx1/vlEjuPlmK1ydcYZ99UkRBvgFWAp8jBWsjpzwejXgPI6PPH4emiBYRPxfZX7PKzhJxfj5Z3j5ZZg/H37//fjzXbvCnXfCkCEar8kP5WINV/Cxc9l40uv1gN7A5VgjkEdWanUiIt6pzO95XaqTitG2LTzxhDVMwbvvWpftQkOty3o33WTNRyd+x4HV3+lJYAOQDswBrgfqAn9gTRY8DGgGjMFqsRIRCVa2BafPPvuMkJCQYpe1a9e69yvu9dmzZ9tVtpQlLAyuvBKWLLFC1D33WM+PGwcbNthampStGXALVljaA6wGHgZaAQeAp4HTsS7jvQ8UFHsUEZHAZdulury8PPbv9+yK+vDDD7NixQp+++03QpyXdUJCQpg7dy79+vVz7xcVFUVERITXP0uX6mxkDFxxBXz4IZx1FnzzDdSsaXdVUk6FWJfy/gN8xPE78eKBO7A6lze0pTIRkcr9nrdt4J3w8HBiYmLcj/Pz81myZAmjR492hyaXunXreuwrVUhICMydC2efbd2RV7cuxMZC06bQrJm1nLzdpAmEh9tduZygGnCZc/kVeB54GdiGdXfe/UAjrJYp13LaCduxqF+AiAQGv+kc/s477zBw4EC2bdtGXFyc+/mQkBCaNm3K0aNHadmyJcOHD+fWW2+lWjnmOlOLkx9YuRKuuw72e3HDe0iIdWfeycHq5IAVqa7KdjoCvIHVCvVtGfuGYw2FcHKgauV8XgNyishfERQtTiebM2cOffv29QhNAI8++ii9evUiIiKCTz75hLFjx7J3714mTJhQwpEgNzeX3Nxc9+ODBw/6rG7xUs+e1t12WVmQkWEtO3cW3d65E/LyrH1//x3Wry/5mHXrlh6smjWzRjfX3Xw+UROrP9QtWP2ftgK/YbVI/XbCsh3IA352LsVpRNFApdYqEfFHFd7iNGnSJCZPnlzqPmvXrqVz587uxxkZGbRo0YI333yTa6+9ttT3PvXUUyQnJ5OdnV3uGtTiVAUYA3v3lhysXMuhQ94dr0aNki8JutaNG1t3AIpPHAMyKBqoXEtZbZAOjrdWnXwpsCUaIkFEqvg4Tnv37mXv3r2l7hMfH0+NGjXcjx999FFmzpzJzp07CQsLK/W9X331FRdccAFZWVk0bty42H1ObnHauXMnCQkJCk6BJCen5GDl2i7j79AtNNSz31VJAUv9rnziAMUHKldr1bEy3t+Y0vtWqb1RJPBV6Ut10dHRREdHe72/MYa5c+dy8803lxmaAFJTU6lRowZ169YtcR+Hw4HD4XA/zsnJ8boeqSLq1LGWE+fOO9nRo7BrV+mXBXftgoICa+iE9PSSj1W7NiQlwT/+AaefXuGnE8zqAuc6l5Mdwxpb6uRA5Wq9+gP43bmkFPP+dsAUoD8KUCJSMWzv4/Tpp5+ydetWhg8fXuS19957j6ysLBITE4mIiGDlypU89NBD3HrrrR7BSKRYNWpAq1bWUpJjx6y+VCUFK9dzBw/CzJnw3HNw+eXW+FQXX6z+Uz5WHetyXEusgTpP9gfH+1ad3L9qO9ZI6FcC3YBpwAW+L1lEApztd9UNGTKE7du389WJc505ffzxx4wfP55ffvmFwsJCWrVqxYgRIxg1ahTVq3uf+XRXnfwlhYWwYgU8+6w1HpVLu3Zw113WyOjlGFdMKscB4AngWeBP53P9gcexWqJEJHBU6T5O/kjBSSrMzz9bLU/z5sHhw9Zz9evDjTdaLVHdu1stXeI3dgGTsaaSKcC6ZHcTMB4o5UKviFQhmqtOxF+1bWtdrsvIgKeegvh4a2yqmTOhXz9o0MCap+/552HbNrurFawO4v8FfgCuwxr1/BUgAbga+Nq+0kSkClJwEjkVdevCmDHwyy/WvHwjRlh35h05Au+/D3feCS1bWtPM3HefNQBoXp7dVQe1tsBbwDdYgQngXSAR6IE1pUzAN7+LyF+mS3UiFcUY+P57+Ogjqy/U6tXWHXsutWpB795w2WVw6aXWEAdimx+BJ4FXgXznc+dgTR9zPX5w54yIeE19nCqYgpPY4o8/YPlyK0R99BHs3u35+jnnHA9RiYlQjhsepOJkAE9jXc5z9lqjJXAfkASo27+I/1NwqmAKTmK7wkJITbVC1Icfwpo1VguVS9260KcPDBhgBan69W0rNVjtx5p379+Aa+jURsDfgQHA3wCNLy/inxScKpiCk/idvXth6VIrRH38sefkx6GhcOGFVogaMABOO82+OoPQEeBlYDrWWFAu0cDlWEMa9AFqV35pIlICBacKpuAkfq2gAL75Bj74wOpovmGD5+sJCcdD1Pnna169SpKP1Xl8EfARcOLsmOFAT6wQ1R9oXtnFiYgHBacKpuAkVcrWrfDee1aI+vxza3Rzl0aN4IorrBB1ySUQqSluK0M+sAp4D1iCNUL5ic7meIg6D92uLFLZFJwqmIKTVFl//GFdyluyxLqsd+K8izVqWOFpwAArTDVpYl+dQcQAP2GFqPeA1UDhCa83Bq7AClGXAIq2Ir6n4FTBFJwkIOTlwZdfWiFqyZKiA2yefz7MmAHdutlSXrDai3UpbwmwFDh4wms1sObYG4Q1dlStSq9OJDho5HARKSo8HHr1subM++03a8yoxx6zAhNY/aRmzrS3xiAUDQzFGlxzL7AM+AcQDxwFPgBuxmqJuhErZB0r7kAiUiUoOIlURSEh0L49PPQQLFxohSqAoUPtrSvIhQO9sYY0+A34HpgItMa6W+814DKgKXA31ijmAd/kLxJgFJxEqrLsbBg3zrqM16uXNaCm+IUQoD0wCdgMrMFqiWoI7MYKV3/DmgomGc+hD0TEfyk4iVQV+fnw7bfWBMJJSXDmmdbAme+8Y7VATZ9urcXvhADnY4WlnViX727AGpV8C1arVCusqV5Wo1YoEX+mOR5E/JExsH27NcL4N99Y6/Xr4ejRovu2bGm1OnXoUOllSvmFYV2uuwyrI/liYB6wEnjbuZwP3ANc59xfRPyHgpOIP8jOhrVrrYDkWk6e2w6sFqbzz4e//c1azj8fGjas9HKlYtTG6jh+M7ABeAZYgNX3aQjWfHmjgVsBTcIj4h8UnEQqW36+NTr4iSHpp5+K7le9utWKdGJQOv10qKYr7IGoPTAHmArMBmZhXdYbDzwKDMPqUN7WrgJFBFBwEvG9/Hz4v/+DlJSyL7m5AtLf/gYdO1qDXEpQaQQ8AtwPvAE8DXwHPO9cLgPGABdj9Z0Skcql4CTiSwUFcO211hQqJ9IlNymDA6uV6Wbgc6wA9R7woXO5EHgMuMiuAkWClIKTiC/df78VmmrUgFtu0SU3KbcQoIdz2YJ1Z96LwJdAd6APVoA6z57yRIKO/uUW8ZWXXoKnnrK2582D//wHbr4Z2rZVaJJTcjowE2uS4dux/s93GdZdeFcDG+0rTSRo6F9vEV9YvRruuMPanjQJBg2ytRwJLE2x+jv9jHUprxrwLnA2cCdw2LbKRAKfgpNIRTtyxBqg8tgxGDgQHnnE7ookQLUC5mO1NF2PNXDm88C5wFob6xIJZApOIhXt4YdhyxZo2hT++1+N5i0+dybwJrAcqzVqM5CINZWLJhQWqVgKTiIV6auv4Omnre0XXrDunhOpJJdgTSw8CCjAmsrlQuAXO4sSCTAKTiIV5c8/4e9/t6ZLSUrShLtii/pY4z8tAKKAr4EOWHfiaQ48kb9OwUmkokyfbl2ii4093uokYpMhWK1PPbA6i9+KNbFwvo01iQQCBSeRivLbb9b62mt1iU78QnPgE2A6EA4sROFJ5K9ScBKpKFdcYa3/7/+gsNDeWkScqgFjsYYrCAfewWqNUngSOTUKTiIV5bLLoHZt2LEDvv7a7mpEPFwKLMYKT28DN6I77kROhYKTSEWJiICrrrK2X3/d1lJEinMZsAgIA95C4UnkVPg0OE2ZMoWuXbtSs2ZN6pbQ52PHjh3079+fyMhIoqOjueuuu8jLy/PYZ8OGDXTv3p2IiAiaNm1KcnIyxuj+EPFDgwdb6zfftCb4FfEzl3M8PL2JNXTBEVsrEqlafBqc8vLyuP7667nDNfXESQoKCrj88ss5fPgwq1at4o033uCdd95h7Nix7n1ycnLo3bs3sbGxrF27lpkzZzJ9+nRmzJjhy9JFTk3v3lCvHuzebY3pJOKHrsDq6xSGFaIuBDJsrUik6vBpcJo8eTL33nsv7du3L/b1ZcuWsWnTJl599VU6duzIJZdcwlNPPcWLL75ITk4OAAsWLODo0aPMmzePdu3acc011/Dggw8yY8YMtTqJ/wkLg/79re3Fi+2tRaQU/YEVQDTwLXAesMbWikSqBlv7OKWkpNCuXTtiY2Pdz/Xt25fc3FzWr1/v3qd79+44HA6PfXbt2sW2bduKPW5ubi45OTnu5eDBgz49DxEPV19trRcvtgbDFPFTF2HNadcOyAK6A6/aWpGI/7M1OGVlZdG4cWOP5+rVq0d4eDhZWVkl7uN67NrnZFOnTiUqKsq9JCQk+KB6kRL06WN1FN++Hb77zu5qREoVD6wGBgC5wFBgPKABNUSKV+7gNGnSJEJCQkpd1q1b5/XxQoqZANUY4/H8yfu4LtEV916A8ePHk52d7V42bdrkdT0ip+zYMfj2W3jpJahTx3ru3XdtLUnEG7WxhioY73w8DbjZvnJE/Fr18r5h9OjRDHbdOVSC+Ph4r44VExPDmjWeV9X/+OMP8vPz3a1KMTExRVqWdu/eDVCkJcrF4XB4XNpz9ZcSqVBHjsCaNbBqFXz5JaSkwKFDnvvUqGFPbSLlVA14HDgL+DvWXHdDgb52FiXih8odnKKjo4mOjq6QH56YmMiUKVPIzMykSZMmgNVh3OFw0KlTJ/c+Dz74IHl5eYSHh7v3iY2N9TqgiVSIvXutkORa1q+3WplOVKcOdOsGF1wAF15orUWqkBuxOovPAMYBlwChtlYk4l/KHZzKY8eOHezfv58dO3ZQUFBAWloaAK1bt6ZWrVr06dOHhIQEhg4dypNPPsn+/fsZN24cI0eOpI7zUseQIUOYPHkySUlJPPjgg2zZsoXHH3+cRx55pMRLdSIVZutWmDrValH66aeir8fGWgHJFZLatYNQfc1I1fYQMBfYCLwMjLS3HBG/EmJ8eE9/UlIS8+fPL/L8ypUr6dGjB2CFqzvvvJNPP/2UiIgIhgwZwvTp0z0utW3YsIFRo0bxzTffUK9ePW6//fZyBaeMjAzi4uJIT0+nWbNmFXJuEiRuvBFee+3444QEz9akFi1AAV4C0DPAvUBDYDNQ185iRMpQmd/zPg1O/kLBSU5ZmzawZQtMnw5JSdCggd0ViVSKPOAc4CdgNDDT3nJESlWZ3/Oaq06kJAcPWqEJ4OabFZokqIQDzzm3ZwGpNtYi4k8UnERK8v331rppU2jY0N5aRGzQC2suu0JgFBrbSQQUnERKlur8f+wOHWwtQ8ROTwGRQAowz95SRPyCgpNISTZssNYKThLEmgKTnNv3A/vsK0XELyg4iZTENRfiaafZWoaI3e7Gms9uL/BPm2sRsZuCk0hJtm+31i1a2FuHiM3CgP86t18GvrSxFhG7KTiJFMcY2LHD2m7e3N5aRPxAV44PhHkb1nAFIsFIwUmkOHv2wJ9/WttxcfbWIuInpmENiPkjMN3mWkTsouAkcrJt2+Cqq6zt+Hg4YRR7kWBWH2sOO4CJwDIbaxGxi4KTyIneeAPOOQdSUqwJe2fNsrsiEb9yo3M5BlyLNSGwSDBRcBIBOHQIbrkFbrgBcnIgMRG++w4uvdTuykT8SghWB/FewCHgMmCrrRWJVC4FJ5HDh+Hii2HuXGvC3gkT4IsvrMt0IlJEOPAOcDbwO8c7jYsEg+p2FyBiq4ICGDIE1q615qJ75x3o3t3uqkT8XhRWZ/HLgJ021yJSmRScJLiNHQtLllgdwJcsga5d7a5IpMrY41z7di56Ef+iS3USvGbOhGeftbb/9z+FJpFyynCum9pahUjlUnCS4PT++3DPPdb21KkwcKCt5YhURa5LdGpxkmCi4CTB5+BB6+65wkIYPhzuv9/uikSqpEzn+qitVYhULgUnCT41akDdutZ2tWrWnXQiUm4XO9dPAf+xsxCRSqTgJMEnLMzq0xQSAi++CIsX212RSJU0CrjPuT0aeNbGWkQqi4KTBKeePeE+5z/5I0bArl321iNSBYUATwAPOB/fw/EpWUQClYKTBK9HH4Vzz4X9+2HYMKvPk4iUSwjwOPCQ8/FY4En7yhHxOQUnCV7h4bBgAUREwIoV8NprdlckUiWFAI9iTfwL8E/gXduqEfEtBScJbqeddryjeHi4raWIVGUhwCTgH87Hz9lXiohPKThJcFu8GDIzoXFjuOoqu6sRqfLGONefAtvtLETERxScJLg95/z/4ltvVYuTSAWIxxqmwADz7S1FxCcUnCR4ff89fPklhIbCbbfZXY1IwPi7cz0P0C0XEmgUnCR4Pf+8tb7mGmiq2bZEKso1QG1gK/CZzl8uBQABAABJREFUvaWIVDgFJwlOx47B229b2yNH2luLSICpCQxxbmtEcQk0Ck4SnL78Evbuhfr1oUcPu6sRCTiuu+veBXbYWIdIRVNwkuD0zjvW+sorrSlYRKRCnQX0wurjpFYnCSQKThKcNm601mptEvGZ253r92ytQqRi+TQ4TZkyha5du1KzZk3qugYZPMF3333HDTfcQFxcHBEREZx55pk8+6znNJHbtm0jJCSkyPLxxx/7snQJdPXrW+tDh+ytQySAdXOufwb+tLMQkQpU3ZcHz8vL4/rrrycxMZE5c+YUeX39+vU0bNiQV199lbi4OFavXs2tt95KaGgoo0eP9th3xYoVnHXWWe7H9V1ffCKnomFDa71nj711iASwGKARsBvYCJxnbzkiFcKnwWny5MkAzJs3r9jXb7nlFo/HrVq1IiUlhUWLFhUJTg0aNCAmJsYndUoQUnAS8bkQoAOwDEhDwUkCg9/1ccrOzi62NWnAgAE0atSIbt268bbrNvIS5ObmkpOT414OHjzoq3KlqlJwEqkUHZzrVDuLEKlAfhWcUlJSePPNN7nthFGca9WqxYwZM3j77bf58MMP6dWrF4MGDeLVV18t8ThTp04lKirKvSQkJFRG+VKVuFovd+60tw6RAPc35/p14Hc7CxGpIOUOTpMmTSq2s/aJy7p168pdyA8//MCVV17JI488Qu/evd3PR0dHc++993L++efTuXNnkpOTufPOO/nXv/5V4rHGjx9Pdna2e9m0aVO565EA16aNtf75Z3vrEAlwVwKdgAPAWHtLEakQ5e7jNHr0aAYPHlzqPvHx8eU65qZNm7j44osZOXIkEyZMKHP/Ll268NJLL5X4usPhwOFwuB/n5OSUqx4JAq7gtHcv7NsHDRrYW49IgAoFZgPnAwuw5rHrZWtFIn9NuYNTdHQ00dHRFVbADz/8wMUXX8ywYcOYMmWKV+9JTU2lSZMmFVaDBKHISGjWDDIyrFanrl3trkgkYHUGRgHPAXcA3wM1bK1I5NT59K66HTt2sH//fnbs2EFBQQFpaWkAtG7dmlq1avHDDz/Qs2dP+vTpw5gxY8jKygIgNDSUhs7Ou/PnzycsLIyOHTtSrVo13nvvPf7973/zxBNP+LJ0CQZnnGEFpzVrFJxEfOwx4B1gC9YluxmAo9R3iPgnnwanRx55hPnz57sfd+zYEYCVK1fSo0cP3nrrLfbs2cOCBQtYsGCBe78WLVqwbds29+PHHnuM7du3ExoaSps2bXj55Ze56aabfFm6BIMuXWDFChgzBrZvh8cfh5o17a5KJCBFAc8CA4FZWEMUPA1cjjVsgUhVEWKMMXYX4WsZGRnExcWRnp5Os2bN7C5H/MXhw3DPPeDqL9e6NcybB926lfYuEfkLFgDjgCzn40uxAlRb2yqSQFCZ3/N+NRyBSKWKjIQXX4SPPoKmTeGXX+DCC2HcOMjPt7s6kYB0I7AZuB8IAz4C2mGFqVwb6xLxloKTSL9+1qS/vXuDMfDUU/C//9ldlUjAqg1MA37AulR3DHgKKHmQGRH/oeAkYgwsXAiff249btkSLrnE3ppEgsDpwPuA61afpTbWIuItBScJbocPw7BhcPvtkJcHAwbA+vXQooXdlYkEjaud67XAUTsLEfGCgpMEr59/hr/9DV55BUJD4Ykn4N13oV49uysTCSqtgUZAHrDe5lpEyqLgJMHp7behc2f44Qdr3rpPPoF//hNCdGO0SGULAS5wbn9lZyEiXlBwkuCzbx/cdBMcOgQ9ekBqKnTvbndVIkHNFZw+tLUKkbIpOEnw2bMHcnOhTh1YvtxqcRIRW12LNSLz58Aam2sRKY2CkwSv6tWtRURs1xwY6tx+3M5CRMqg4CQiIn7hfqz+TkuADTbXIlISBScREfELbYHrnNvT7CxEpBQKThJ8fv/dWlfTn7+Iv3nQuX4DyLSzEJES6JtDgosxMGmStX3ZZbaWIiJFdQA6A4VoJHHxTwpOElw+/BA++wwcDkhOtrsaESnGpc71R7ZWIVI8BScJHseOWYNcAtx9t6ZVEfFTruC0HGsCYBF/ouAkwePll2HTJqhfH8aPt7saESnB+UA94A/gG5trETmZgpMEtmPHYNEiuOQSuO0267kJE6BuXVvLEpGShQI9ndtf2FmISDE0+p8EpsxMePFFeOEF2LnTei4kBG64Ae68097aRKRMWc61xvUXf6PgJIHDGPjiC/jPf2DxYqu1CaBhQxgxAm69FeLjbS1RRMr2J7DWuX2RnYWIFEPBSaq+nBx45RWYNcvqw+TSrZvVunTttdZddCJSJawB8oFYoKXNtYicTMFJqq5Nm2DmTCs0HT5sPRcZCTfdBHfcAeecY299InJKXP2aLsSagkXEnyg4SdWTmQmPPGLdJVdYaD135plW69LQoRAVZW99IvKXfOlcX2hrFSLFU3CSquPwYXjqKfjXv463MF15pTUmU48eVudvEanSjgFfO7cVnMQfKTiJ/ysogP/9zxpGYNcu67kuXawQ1bWrvbWJSIXaCBwC6gBn2VyLSHEUnMS/rVgB48bBd99Zj1u2hCeegOuuUwuTSABa7Vx3wRrPScTfKDiJf/rhB7jvPvjIOVtV3brw8MMwapTukBMJYF85191srUKkZApO4l9+/RUmTYIFC6xxmcLCrLA0YQI0aGB3dSLiY2uc60RbqxApmYKT+If0dHj0UetOuYIC67lrr4Vp06B1a3trE5FKs9+5jrO1CpGSKTiJvbKyYOpUmD0b8vKs5y691ApRnTrZW5uIVLpc51oX5MVfKTiJPYyx5pEbMwaOHLGe69EDHnvMGvFbRILSUedawUn8lYKTVL6jR61+Sy+/bD3+299gyhS4+GLdKScSxA4BziFtqW1nISKlqObLg0+ZMoWuXbtSs2ZN6tatW+w+ISEhRZbZs2d77LNhwwa6d+9OREQETZs2JTk5GWOML0sXX9m+HS64wApN1apZQwukpECvXgpNIkHud+c6AqhlZyEipfBpi1NeXh7XX389iYmJzJkzp8T95s6dS79+/dyPo06YMiMnJ4fevXvTs2dP1q5dy+bNm0lKSiIyMpKxY8f6snypaCtWwODBsG+fdYfcwoVWYBIR4XhwikFz1In/8mlwmjx5MgDz5s0rdb+6desSExNT7GsLFizg6NGjzJs3D4fDQbt27di8eTMzZsxgzJgxhKiVwv8ZY7UsPfSQNbdcp07wzjvQooXdlYmIH8lyrhvbWoVI6Xx6qc5bo0ePJjo6mvPOO4/Zs2dT6Jq4FUhJSaF79+44Thj0sG/fvuzatYtt27YVe7zc3FxycnLcy8GDB319ClKSP/+EQYNg/HgrNN1yC6xapdAkIkW4WpwUnMSf2d45/NFHH6VXr15ERETwySefMHbsWPbu3cuECRMAyMrKIj4+3uM9jRs3dr/WsmXLIsecOnWqu7VLbLR/vzUJ76pV1kCWzz0HI0eqL5OIFMvVc7Ww1L1E7FXuFqdJkyYV26H7xGXdunVeH2/ChAkkJibSoUMHxo4dS3JyMk8++aTHPidfjnN1DC/pMt348ePJzs52L5s2bSrnWcpf5uoEvmoVREXBsmVw660KTSJSojbO9c+2ViFSunK3OI0ePZrBgweXus/JLUTl0aVLF3Jycvj9999p3LgxMTExZGVleeyze/du4HjL08kcDofHpb2cnJxTrkdOQVqaNYhlVhY0bQoffwzt2tldlYj4uTOc61+BPCDcxlpESlLu4BQdHU10dLQvagEgNTWVGjVquIcvSExM5MEHHyQvL4/wcOs/o2XLlhEbG/uXApr4yPLlcM01cOiQFZY++giaNbO7KhGpApoCkcBh4DeOBykRf+LTzuE7duwgLS2NHTt2UFBQQFpaGmlpaRw6dAiA9957jxdffJGNGzfy66+/8tJLL/HQQw9x6623uluMhgwZgsPhICkpiY0bN7J48WIef/xx3VHnj778Ei67zApNPXpYjxWaRMRLIUBb5/aPdhYiUgqfdg5/5JFHmD9/vvtxx44dAVi5ciU9evQgLCyMWbNmMWbMGAoLC2nVqhXJycmMGjXK/Z6oqCiWL1/OqFGj6Ny5M/Xq1WPMmDGMGTPGl6XLqfj5Zzh2zOrHNGsWlDDoqYhISc4HvgVmA1fbXItIcUJMEAzBnZGRQVxcHOnp6TRTC4jv5OdbLU2rV0PnzvDVVxCuXgoi4r3fsFqdjgErgR62ViNVRWV+z/vFOE4SIMLC4I03oH59WLcO7r/f7opEpIppBYx0bj/I8SEKRPyFgpNUrLg4cI0U/8wzsGSJndWISBX0MNZ8dSnA+zbXInIyBSepeP37g6sPWlKSNRCmiIiXmgB3ObcnoFYn8S8KTlLxjh2DPXus7QMHFJxEpNz+6Vx/D+yxsxCRkyg4ScU6ehSuvx5eeQVCQ61169Z2VyUiVUx9js9Zt9POQkROouAkFefQIbjiCnj3XXA4YPFiuPFGu6sSkSoqzrnOsLUKEU8KTlIx9u+H3r3hk0+gVi1rxPD+/e2uSkSqMNdN5QpO4k8UnOSv++oruPBC+PprayiCTz6Bnj3trkpEqjhXcEq3tQoRTwpOcuq2b4fBg+GCC2DTJmjSBD7/HM4/3+7KRCQA1HeuD9hZhMhJFJyk/A4dgocfhjPOgIULrSlWRo6EtDRrYl8RkQpwzLkOs7UKEU8+natOAkxhIbz6KowfD7t2Wc/16AFPPw0dOthZmYgEIAUn8UcKTuKdr76Ce+6xplIBaNUKpk+Hq66yWpxERCpYvnOtLyrxJ/p7lNIVFsKoUTB7tvW4dm2YMAHuvtsackBExEdcwUktTuJPFJykdBMnWqEpJASGD4dHH4WYGLurEpEg4JpqRW3a4k8UnKRk8+fDY49Z23PmwN//bm89IhJUXF9Q+aXuJVK5dFedFO/zz6075cDqDK7QJCKVzHWJTsFJ/ImCkxS1aZPV6Ts/35p3ztXqJCJSiUKd6wJbqxDxpOAknnbtgksvhQMHIDHRulxXTX8mIlL5DjrXdWytQsSTvhHluJwcuOwy2LED2rSBJUsgIsLuqkQkSB1wruvaWIPIyRScxJKXB9ddB999B40aWZP0RkfbXZWIBLE/nOu6dhYhchIFJwFj4NZbYflyiIyEDz6wBrgUEbHRAee6np1FiJxEwUmssZrmz4fQUHjzTejc2e6KRETU4iR+ScEp2M2ZYw1qCdZAl5ddZm89IiJOu53rRrZWIeJJwSmYLV0Kt91mbU+YACNG2FuPiIhTPrDfua3gJP5EwSlYpaVZncELCmDoUEhOtrsiERE3V2tTKFDfzkJETqLgFIzS061LcocOQc+e8NJL1lx0IiJ+4sTLdPqiEn+iv8dgNG0aZGbCWWfBokUQHm53RSIiHlyX6XRHnfgbBadgtGmTtX7gAahb19ZSRESKE+Nc7wSMnYWInETBKRj9+qu1Pu00e+sQESmBayS5bGCfnYWInETBKdjk5kJGhrWtQS5FxE9FAM2c27/YWYjISXwanKZMmULXrl2pWbMmdYu5JDRv3jxCQkKKXXbvtroGbtu2rdjXP/74Y1+WHri2b7dGCo+MtKZWERHxU62dawUn8SfVfXnwvLw8rr/+ehITE5kzZ06R1wcNGkS/fv08nktKSuLo0aM0OulLfcWKFZx11lnux/Xr6wbVU5Kebq3j4nQnnYj4tdbAZ8CPNtchciKfBqfJkycDVstScSIiIoiIiHA/3rNnD59++mmxIatBgwbExMQUeV7KKSrKWh88aG8dIiJlOB94CfjK7kJETuBXfZz+97//UbNmTa677roirw0YMIBGjRrRrVs33n77bRuqCxCxsdY6K8sa/FJExE9d5Fx/DeTaWYjICfwqOL388ssMGTLEoxWqVq1azJgxg7fffpsPP/yQXr16MWjQIF599dUSj5Obm0tOTo57OajWleMaNbIu0RUUwJ49dlcjIlKiNlgDYOYCa22uRcSl3MFp0qRJJXbodi3r1q0rdyEpKSls2rSJ4cOHezwfHR3Nvffey/nnn0/nzp1JTk7mzjvv5F//+leJx5o6dSpRUVHuJSEhodz1BKzq1aFxY2s7M9PeWkREShHC8VanL+wsROQE5e7jNHr0aAYPHlzqPvHx8eUu5KWXXqJDhw506tSpzH27dOnCSy+9VOLr48ePZ8yYMe7HO3fuVHhyKSy0whPAPo2OIiL+7SLgbazg9KDNtYjAKQSn6OhooqOjK7SIQ4cO8eabbzJ16lSv9k9NTaVJkyYlvu5wOHA4HO7HOTk5f7nGgPF//2eN4xQVBeedZ3c1IiKlSnSuv8EaQVz3AovdfHpX3Y4dO9i/fz87duygoKCAtLQ0AFq3bk2tWrXc+y1cuJBjx45x4403FjnG/PnzCQsLo2PHjlSrVo333nuPf//73zzxxBO+LD0wGQNTpljbo0cfv8NORMRPnQ04gD+ALVj9nkTs5NPg9MgjjzB//nz3444dOwKwcuVKevTo4X5+zpw5XHPNNdSrV/x0jo899hjbt28nNDSUNm3a8PLLL3PTTTf5svTAtGwZrF8PNWvCPffYXY2ISJnCgXOBFGANCk5ivxBjTMDPn5iRkUFcXBzp6ek0a9as7DcEqosugi+/hHvvhRkz7K5GRMQr9wLPAKOBmfaWIn6qMr/n/Wo4AvGhn36yQlN4OIwda3c1IiJe+5tzrSEJxB8oOAWLn36y1uecA02b2luLiEg5tHOuf8TqIC5iJwWnYLF1q7Vu2dLeOkREyqk11pdVDvC7zbWIKDgFi99+s9YKTiJSxdQA4p3bP9tYhwgoOAUPV4tTq1b21iEicgraOtcKTmI3BadgsGIFfPaZtX3aabaWIiJyKk53rn+1tQoRBafAN28eXHopHD4MPXpA9+52VyQiUm5HnOtape4l4nsKToHKGJg0Cf7+dzh2DIYMgY8/Pj5PnYhIFeKakrzkybZEKoeCU6B69lmYPNnafvBBeOUVOGH+PhGRqkTBSfyFmh8ClatP0z//eXx+OhGRKsp1iS6z1L1EfE8tToGqsNBat25tbx0iIhXgIuf6MzuLEEHBKXC5piAMCbG3DhGRCtDDuf4cjR4u9lJwClQKTiISQBKBMCAD+M3mWiS4KTgFKgUnEQkgNTk+2e+ndhYiQU/BKVAdPGitIyPtrUNEpIL0ca7fsbUKCXYKToEq03nvSRPdvCsigWGwc70CTfYr9lFwClSu4BQba28dIiIV5HTgPKAAeNPmWiR4KTgFooMHrSlWQC1OIhJQbnSuX7O1CglmCk6BKD3dWteurT5OIhJQBmF9cX0NbLW5FglOCk6BaOZMa33uufbWISJSwWKANs5tBSexg4JToPnpJ3jxRWv70UftrUVExAdcA2BqzjCxg4JToHngASgogCuvhAsvtLsaEZEKd8y5VnASOyg4BZIvv4T/+z8IDYVp0+yuRkTEJwqcawUnsYOCUyAZP95ajxgBZ5xhby0iIj7ianEKtbUKCVYKToFi1y746itripWJE+2uRkREJCApOAWKlSut9bnnauwmEQlorpamglL3EvENBadA8alz2suLL7a3DhERH1NwEjspOAUKBScRCRKuTuEKTmIHBadAkJIC27ZZ2//7n62liIj42mbneoetVUiwUnD6f/buPDqKKu3j+LcJSQgBwhIgBAIBETCAoCASHAVUllFBfVVAnEgGQR1hXEAccCNGERwWHXEQHREYV1zQwZVFQUUiayKbCChLgEQEMWGRJCT3/aPSTZrskE6lu3+fc+pUdfXt6ufWDcnDrVu3fEFOzuntwED74hARqUT17Q5A/JKmwfAFV1xh3VV34gTUqWN3NCIiHrUba/bwaHvDED/lsR6n3bt3c8cdd9CyZUtCQkI477zzmDhxItnZ2W7l9u7dy4ABAwgNDSU8PJx77723UJlNmzbRs2dPQkJCaNq0KYmJiRhjkAKaNIHzzoOGDe2ORETEo1qgpEns47Eep23btpGXl8dLL71E69at2bx5MyNHjuT48eNMmzYNgNzcXK699loaNmzIypUrOXz4MMOGDcMYw8z8B9VmZmbSp08fevfuzdq1a9m+fTvx8fGEhoYyduxYT4UvIiIiUojDVGLXzdSpU3nxxRf5+eefAfjss8+47rrrSE1NJTIyEoC3336b+Ph4Dh48SJ06dXjxxReZMGECv/zyC8HBwQBMmTKFmTNnsm/fPhwOR6nfu2/fPqKiokhNTaVZs2aeq6CIiIhUusr8O1+pg8MzMjKoX//0cL6kpCQ6dOjgSpoA+vXrR1ZWFuvXr3eV6dmzpytpcpY5cOAAu513komIiIhUgkobHP7TTz8xc+ZMpk+f7tqXnp5O48aN3crVq1ePoKAg0tPTXWWio6Pdyjg/k56eTsuWLQt9V1ZWFllZWa7XGRkZAKSlpVVIXURERKTqcP59z8zMxBhTpqtRZ6vciVNCQgJPPPFEiWXWrl1L165dXa8PHDhA//79ueWWWxgxYoRb2aIqd2alzyzjvLpY3ImZPHlykTF269atxLhFRETEe7Vv356MjAzqePAO83InTqNHj2bIkCEllinYQ3TgwAF69+5NbGwsL7/8slu5iIgIVq9e7bbvyJEj5OTkuHqVIiIiXL1PTgcPHgQo1FvlNGHCBMaMGeN6/dtvv9GyZUs2b95MWFhYyRX0Q0ePHiUmJoatW7dSu3Ztu8OpknSOSqbzUzKdn9LpHJVM56dkGRkZdOjQgd27d3v8/JQ7cQoPDyc8PLxMZffv30/v3r3p0qULc+fOpVo19yFVsbGxTJo0ibS0NJrkP5h2yZIlBAcH06VLF1eZhx9+mOzsbIKCglxlIiMjC13CcwoODnYbE+UUFRXl0SzUW2VmZgLQtGlTnZ9i6ByVTOenZDo/pdM5KpnOT8mc56RevXoevUwHHhwcfuDAAXr16kVUVBTTpk3j119/JT093a33qG/fvsTExBAXF0dycjJffPEFDz74ICNHjnSdhKFDhxIcHEx8fDybN2/mgw8+4Omnn2bMmDEePzkiIiIiBXlscPiSJUvYuXMnO3fuLHRroHOMUkBAAJ988gn33HMPl112GSEhIQwdOtQ1zxNAWFgYS5cuZdSoUXTt2pV69eoxZswYt0txIiIiIpXBY4lTfHw88fHxpZZr3rw5H3/8cYllOnbsyNdff33WsQQHBzNx4sQiL9+Jzk9Z6ByVTOenZDo/pdM5KpnOT8kq8/xU6gSYIiIiIt6sUifAFBEREfFmSpxEREREykiJk4iIiEgZKXESERERKSOfTpyio6NxOByFllGjRtkdWpVw6tQpHn30UVq2bElISAitWrUiMTGRvLw8u0OrMo4ePcr9999PixYtCAkJoUePHqxdu9busGzz9ddfM2DAACIjI3E4HHz44Ydu7xtjSEhIIDIykpCQEHr16sWWLVvsCdYGpZ2fhQsX0q9fP8LDw3E4HKSkpNgSp11KOj85OTn84x//oGPHjoSGhhIZGcntt9/OgQMH7AvYBqX9DCUkJNCuXTtCQ0OpV68eV199daEncPiy0s5PQXfddRcOh4PnnnuuQmPw6cRp7dq1pKWluZalS5cCcMstt9gcWdXwzDPPMHv2bF544QV++OEH/vnPfzJ16lRmzpxpd2hVxogRI1i6dCmvvfYamzZtom/fvlx99dXs37/f7tBscfz4cTp16sQLL7xQ5Pv//Oc/mTFjBi+88AJr164lIiKCPn36cPTo0UqO1B6lnZ/jx49z2WWXMWXKlEqOrGoo6fycOHGCDRs28Nhjj7FhwwYWLlzI9u3bGThwoA2R2qe0n6E2bdrwwgsvsGnTJlauXEl0dDR9+/bl119/reRI7VHa+XH68MMPWb16NZGRkRUfhPEj9913nznvvPNMXl6e3aFUCddee60ZPny4277/+7//M3/5y19siqhqOXHihAkICDAff/yx2/5OnTqZRx55xKaoqg7AfPDBB67XeXl5JiIiwkyZMsW17+TJkyYsLMzMnj3bhgjtdeb5KWjXrl0GMMnJyZUaU1VS0vlxWrNmjQHMnj17KieoKqYs5ygjI8MAZtmyZZUTVBVS3PnZt2+fadq0qdm8ebNp0aKFefbZZyv0e326x6mg7OxsXn/9dYYPH65HteT705/+xBdffMH27dsB+P7771m5ciXXXHONzZFVDadOnSI3N5caNWq47Q8JCWHlypU2RVV17dq1i/T0dPr27evaFxwcTM+ePVm1apWNkYm3ysjIwOFwULduXbtDqZKys7N5+eWXCQsLo1OnTnaHUyXk5eURFxfHuHHjaN++vUe+w2Mzh1c1H374Ib///nuZZjP3F//4xz/IyMigXbt2BAQEkJuby6RJk7j11lvtDq1KqF27NrGxsTz55JNccMEFNG7cmLfeeovVq1dz/vnn2x1eleN8DmXjxo3d9jdu3Jg9e/bYEZJ4sZMnTzJ+/HiGDh2qh9qe4eOPP2bIkCGcOHGCJk2asHTpUsLDw+0Oq0p45plnqF69Ovfee6/HvsNvepzmzJnDn//8Z89c7/RSCxYs4PXXX+fNN99kw4YNzJ8/n2nTpjF//ny7Q6syXnvtNYwxNG3alODgYJ5//nmGDh1KQECA3aFVWWf26Bpj1Msr5ZKTk8OQIUPIy8tj1qxZdodT5fTu3ZuUlBRWrVpF//79GTRoEAcPHrQ7LNutX7+ef/3rX8ybN8+jv3P8InHas2cPy5YtY8SIEXaHUqWMGzeO8ePHM2TIEDp27EhcXBwPPPAAkydPtju0KuO8887jq6++4tixY6SmprJmzRpycnJo2bKl3aFVOREREcDpniengwcPFuqFEilOTk4OgwYNYteuXSxdulS9TUUIDQ2ldevWdO/enTlz5lC9enXmzJljd1i2++abbzh48CDNmzenevXqVK9enT179jB27Fiio6Mr7Hv8InGaO3cujRo14tprr7U7lCrlxIkTVKvm/iMQEBCg6QiKEBoaSpMmTThy5AiLFy/m+uuvtzukKqdly5ZERES47l4FawzGV199RY8ePWyMTLyFM2nasWMHy5Yto0GDBnaH5BWMMWRlZdkdhu3i4uLYuHEjKSkpriUyMpJx48axePHiCvsenx/jlJeXx9y5cxk2bBjVq/t8dctlwIABTJo0iebNm9O+fXuSk5OZMWMGw4cPtzu0KmPx4sUYY2jbti07d+5k3LhxtG3blr/+9a92h2aLY8eOsXPnTtfrXbt2kZKSQv369WnevDn3338/Tz/9NOeffz7nn38+Tz/9NDVr1mTo0KE2Rl15Sjs/v/32G3v37nXNTfTjjz8CVm+ds8fOl5V0fiIjI7n55pvZsGEDH3/8Mbm5ua7ey/r16xMUFGRX2JWqpHPUoEEDJk2axMCBA2nSpAmHDx9m1qxZ7Nu3z2+m2Snt39iZyXZgYCARERG0bdu24oKo0Hv0qqDFixcbwPz44492h1LlZGZmmvvuu880b97c1KhRw7Rq1co88sgjJisry+7QqowFCxaYVq1amaCgIBMREWFGjRplfv/9d7vDss3y5csNUGgZNmyYMcaakmDixIkmIiLCBAcHmyuuuMJs2rTJ3qArUWnnZ+7cuUW+P3HiRFvjriwlnR/nFA1FLcuXL7c79EpT0jn6448/zI033mgiIyNNUFCQadKkiRk4cKBZs2aN3WFXmtL+jZ3JE9MROIwxpuLSMBERERHf5RdjnEREREQqghInERERkTJS4iQiIiJSRkqcRERERMpIiZOIiIhIGSlxEhERESkjJU4iIiIiZaTESURERKSMlDiJiIiIlJESJxEREZEyUuIkIiIiUkZKnERERETKSImTiIiISBkpcRIREREpIyVOIiIiImWkxElERESkjJQ4iYiIiJSREicRERGRMvK6xOnFF1/kwgsvpE6dOtSpU4fY2Fg+++wz1/sLFy6kX79+hIeH43A4SElJKdNx33//fWJiYggODiYmJoYPPvjAQzU4e56o+7x583A4HIWWkydPerAm5VdS3XNycvjHP/5Bx44dCQ0NJTIykttvv50DBw6Uelxvb/ezrbu3tDuU/nOfkJBAu3btCA0NpV69elx99dWsXr261ON6e9vD2dXdW9q+tLoXdNddd+FwOHjuuedKPa43tDt4pv6+0vbx8fGF6tC9e/dSj1tRbe91iVOzZs2YMmUK69atY926dVx55ZVcf/31bNmyBYDjx49z2WWXMWXKlDIfMykpicGDBxMXF8f3339PXFwcgwYNKtMv38rkiboD1KlTh7S0NLelRo0anqjCWSup7idOnGDDhg089thjbNiwgYULF7J9+3YGDhxY4jF9od3Ptu7gHe0Opf/ct2nThhdeeIFNmzaxcuVKoqOj6du3L7/++muxx/SFtoezqzt4R9uXVnenDz/8kNWrVxMZGVnqMb2l3cEz9Qffafv+/fu71eHTTz8t8ZgV2vbGB9SrV8+88sorbvt27dplAJOcnFzq5wcNGmT69+/vtq9fv35myJAhFRmmR5xr3efOnWvCwsI8E5yHFVV3pzVr1hjA7Nmzp9jP+1q7O5Wl7t7c7saUXP+MjAwDmGXLlhX7eV9t+7LU3Zvb/sy679u3zzRt2tRs3rzZtGjRwjz77LMlft6b292Yc6+/r7T9sGHDzPXXX1+uz1dk23tdj1NBubm5vP322xw/fpzY2NizPk5SUhJ9+/Z129evXz9WrVp1riF6TEXVHeDYsWO0aNGCZs2acd1115GcnFxBUXpGWeqekZGBw+Ggbt26xR7HV9u9LHUH72t3KL3+2dnZvPzyy4SFhdGpU6dij+OLbV/WuoP3tX1Rdc/LyyMuLo5x48bRvn37Mh3HG9sdKq7+4BttD7BixQoaNWpEmzZtGDlyJAcPHizxOBXa9uVOtaqAjRs3mtDQUBMQEGDCwsLMJ598UqhMeXpdAgMDzRtvvOG274033jBBQUEVFXKFqei6JyUlmddee82kpKSYr7/+2tx0000mJCTEbN++3QPRn5uy1N0YY/744w/TpUsXc9ttt5V4PF9rd2PKXndvandjSq//Rx99ZEJDQ43D4TCRkZFmzZo1JR7Pl9q+vHX3prYvqe5PP/206dOnj8nLyzPGmDL1uHhTuxtT8fX3lbZ/++23zccff2w2bdpkFi1aZDp16mTat29vTp48WezxKrLtvTJxysrKMjt27DBr164148ePN+Hh4WbLli1uZcqbOL355ptu+15//XUTHBxckWFXiIqu+5lyc3NNp06dzN///vcKirjilKXu2dnZ5vrrrzcXXXSRycjIKPF4vtbu5an7mapyuxtTev2PHTtmduzYYZKSkszw4cNNdHS0+eWXX4o9ni+1fXnrfqaq3PbF1X3dunWmcePGZv/+/a6yZU2cvKXdjan4+p/JG9u+KAcOHDCBgYHm/fffL/Z4Fdn2Xpk4nemqq64yd955p9u+8iQPUVFRZsaMGW77ZsyYYZo3b16RYXrEuda9KCNGjCh0LbgqOrPu2dnZ5oYbbjAXXnihOXToUKmf96V2L2/di+It7W5M0T/3BbVu3do8/fTTxb7vS21/ptLqXhRvaXtn3Z999lnjcDhMQECAawFMtWrVTIsWLYr9vDe3uzHnXv+ieFvbF6d169ZmypQpxb5fkW3v1WOcnIwxZGVlnfXnY2NjWbp0qdu+JUuW0KNHj3MNzePOte5FHS8lJYUmTZpU2DE9pWDdc3JyGDRoEDt27GDZsmU0aNCg1M/7SrufTd2LOp63tDuU/nNf2vu+0vZn835R5b2l7Z11i4uLY+PGjaSkpLiWyMhIxo0bx+LFi4v9vDe3O5x7/Ys6nre1fVEOHz5MampqifWo0LYvd6plswkTJpivv/7a7Nq1y2zcuNE8/PDDplq1ambJkiXGGGMOHz5skpOTzSeffGIA8/bbb5vk5GSTlpbmOkZcXJwZP3686/W3335rAgICzJQpU8wPP/xgpkyZYqpXr26+++67Sq9fSTxR94SEBPP555+bn376ySQnJ5u//vWvpnr16mb16tWVXr+SlFT3nJwcM3DgQNOsWTOTkpJi0tLSXEtWVpbrGL7Y7mdbd29pd2NKrv+xY8fMhAkTTFJSktm9e7dZv369ueOOO0xwcLDZvHmz6xi+2PZnW3dvafvSft+dqahLVd7a7sZ4pv6+0PZHjx41Y8eONatWrTK7du0yy5cvN7GxsaZp06YmMzPTdQxPtr3XJU7Dhw83LVq0MEFBQaZhw4bmqquucvtBmjt3rgEKLRMnTnSV6dmzpxk2bJjbcd99913Ttm1bExgYaNq1a1fitVK7eKLu999/v2nevLnrmH379jWrVq2qxFqVTUl1d16aLGpZvny56xi+2O5nW3dvaXdjSq7/H3/8YW688UYTGRlpgoKCTJMmTczAgQMLDZD2xbY/27p7S9uX9vvuTEUlDt7a7sZ4pv6+0PYnTpwwffv2NQ0bNjSBgYGmefPmZtiwYWbv3r1ux/Bk2zuMMab8/VQiIiIi/scnxjiJiIiIVAYlTiIiIiJlpMRJREREpIyUOImIiIiUkRInERERkTJS4iQiIiJSRn6ROGVlZZGQkFChM2x7C3+uO/h3/VV3/6w7+Hf9VXf/rDtUXv29Zh6nWbNmMXXqVNLS0mjfvj3PPfccl19+eZk+m5mZSVhYGBkZGdSpU8fDkVYt/lx38O/6q+7+WXfw7/qr7v5Zd6i8+ntFj9OCBQu4//77eeSRR0hOTubyyy/nz3/+M3v37rU7NBEREfEjXpE4zZgxgzvuuIMRI0ZwwQUX8NxzzxEVFcWLL75od2giIiLiR6rbHUBpsrOzWb9+PePHj3fb37dvX1atWlXkZ7Kystyucf72228ApKamEhYW5rlgq6CjR48CsH//fjIzM22OpvL5c/1Vd/+sO/h3/VV3/6x7Xl4eP/30EwAeH4F0Vk+4q0T79+83gPn222/d9k+aNMm0adOmyM9MnDix2AefatGiRYsWLVp8dzl48KBH85Iq3+Pk5HA43F4bYwrtc5owYQJjxoxxvU5NTaVDhw6sWbOGJk2aeDROERERqVxpaWl069aNLVu2EB4e7tHvqvKJU3h4OAEBAaSnp7vtP3jwII0bNy7yM8HBwQQHB7teOy/PNWnShGbNmnkuWBEREbFNnTp1iu1UqShVfnB4UFAQXbp0YenSpW77ly5dSo8ePWyKSkRERPxRle9xAhgzZgxxcXF07dqV2NhYXn75Zfbu3cvdd99td2giIiLiR7wicRo8eDCHDx8mMTGRtLQ0OnTowKeffkqLFi3sDk1ERET8SJW/VOd0zz33sHv3brKysli/fj1XXHGF3SGJiIgfWrFiBQ6Hg99//73SvjM+Pp4bbrih0r5Piuc1iZP4poMHD3LXXXfRvHlzgoODiYiIoF+/fiQlJbnKOBwOPvzwwwr5vt27d+NwOEhJSSmxXEm/GDt37kxCQoKrTEnLvHnzAHj//ffp1asXYWFh1KpViwsvvJDExETXHGNlsXDhQvr06UPDhg2pU6cOsbGxLF68uFC5999/n5iYGIKDg4mJieGDDz5we3/y5Mlccskl1K5dm0aNGnHDDTfw448/ut7PycnhH//4Bx07diQ0NJTIyEhuv/12Dhw4UGqMR44cIS4ujrCwMMLCwoiLiyt0Du+77z66dOlCcHAwnTt3LnP9v/rqK7p06UKNGjVo1aoVs2fPdnt/y5Yt3HTTTURHR+NwOHjuuefKdNxNmzbRs2dPQkJCaNq0KYmJiW7zwMTHxxfZtu3bty/xuC+//DK9evVyDVY98zyU9POzdu3aEo9dWhuD9Ziqli1bUqNGDbp06cI333xT4jHnzZuHw+HgggsuKPTeO++8g8PhIDo62q183bp1C33e4XAQEBBAvXr1uPTSS0lMTCQjI8PteM5zOmXKFLf9H374odvA3qL+HRpj+M9//kNsbCx16tShVq1atG/fnvvuu4+dO3e6yiUkJBT581Xwd0BCQkKp/4Z3795d4nkT/6PESWx100038f333zN//ny2b9/OokWL6NWrV7kSirLKzs6u0OP16NGDtLQ01zJo0CD69+/vtm/w4ME88sgjDB48mEsuuYTPPvuMzZs3M336dL7//ntee+21Mn/f119/TZ8+ffj0009Zv349vXv3ZsCAASQnJ7vKJCUlMXjwYOLi4vj++++Ji4tj0KBBrF692lXmq6++YtSoUXz33XcsXbqUU6dO0bdvX44fPw7AiRMn2LBhA4899hgbNmxg4cKFbN++nYEDB5Ya49ChQ0lJSeHzzz/n888/JyUlhbi4OLcyxhiGDx/O4MGDy1z3Xbt2cc0113D55ZeTnJzMww8/zL333sv777/vKnPixAlatWrFlClTiIiIKNNxMzMz6dOnD5GRkaxdu5aZM2cybdo0ZsyY4Srzr3/9y61NU1NTqV+/PrfcckuJxz5x4gT9+/fn4YcfLvL9M39+0tLSGDFiBNHR0XTt2rXY45aljc/2MVWhoaEcPHjQ7T8uAK+++irNmzcv8bNg3dGUlpbGvn37WLVqFXfeeSf//e9/6dy5c6HEu0aNGjzzzDMcOXKk1OM6GWMYOnQo9957L9dccw1Llixh48aNPP/884SEhPDUU0+V+VgADz74oNv5b9asmWtIiHOJiooq1zHFD3h0lqgqIjU11QAmNTXV7lCkgCNHjhjArFixotgyLVq0cJvYrEWLFsYYY3bu3GkGDhxoGjVqZEJDQ03Xrl3N0qVLC332ySefNMOGDTN16tQxt99+e6GJ0nr27Fnk9y5fvtwA5siRI4Xe69Spk5k4cWKh/cOGDTPXX3+9277Vq1cbwDz33HPFnoNzERMTY5544gnX60GDBpn+/fu7lenXr58ZMmRIscc4ePCgAcxXX31VbJk1a9YYwOzZs6fYMlu3bjWA+e6771z7kpKSDGC2bdtWqPzEiRNNp06dij1eQQ899JBp166d27677rrLdO/evcjyLVq0MM8++2ypx501a5YJCwszJ0+edO2bPHmyiYyMNHl5eUV+5oMPPjAOh8Ps3r27TLGX9LNUUHZ2tmnUqJFJTEwssVxZ2rhbt27m7rvvdivTrl07M378+GKPO3fuXBMWFmZGjx5tRowY4dqfmppqgoODzfjx413//gqWL+610y+//GLCw8PNbbfd5to3bNgwc91115l27dqZcePGufZ/8MEHpuCfpTPP3VtvvWUA87///a/IOhRss+J+vnbt2mUAk5ycXOi9sv7cFNWm7733nomJiTFBQUGmRYsWZtq0aW6fOXnypBk3bpxp1qyZCQoKMq1btzavvPKKMcaYU6dOmeHDh5vo6GhTo0YN06ZNm0K/M4r6/SKnVebfefU4iW1q1apFrVq1+PDDD90ekVOQ85LF3LlzSUtLc70+duwY11xzDcuWLSM5OZl+/foxYMCAQv+jnjp1Kh06dGD9+vU89thjrFmzBoBly5aRlpbGwoULPVhDeOONN6hVqxb33HNPke87L3U4Lx+sWLGizMfOy8vj6NGj1K9f37UvKSmJvn37upXr169fsY8nAlyXUQoep6gyDofD7dLMmZKSkggLC+PSSy917evevTthYWElfn9ZFFevdevWkZOTc07H7dmzp9u8b/369ePAgQPFXqKZM2cOV199tdvNKc5LSudyWWfRokUcOnSI+Ph4t/3R0dEkJCS4xVxSGzsfU3VmmZIeU1XQHXfcwYIFCzhx4gRgXYLr379/sfPmlaZRo0bcdtttLFq0iNzcXNf+gIAAnn76aWbOnMm+ffvKdKy33nqLtm3bFtv76en5e4qzfv16Bg0axJAhQ9i0aRMJCQk89thjrkv1ALfffjtvv/02zz//PD/88AOzZ8+mVq1agPVvuVmzZrzzzjts3bqVxx9/nIcffph33nnHlvpIyZQ4iW2qV6/OvHnzmD9/PnXr1uWyyy7j4YcfZuPGja4yDRs2BKwEIyIiwvW6U6dO3HXXXXTs2JHzzz+fp556ilatWrFo0SK377jyyit58MEHad26Na1bt3Z9vkGDBkRERJSYLFSEHTt20KpVKwIDA0ssFxgYSNu2balZs2aZjz19+nSOHz/OoEGDXPvS09ML/YFr3LhxoQlknYwxjBkzhj/96U906NChyDInT55k/PjxDB06lDp16hQbT3p6Oo0aNSq0v1GjRsV+f1kVV69Tp05x6NChCj+u870zpaWl8dlnnzFixAi3/TVr1qRt27altnNJ5syZQ79+/QpdGjrvvPPcZkIurY0PHTpEbm5uuX4OCurcuTPnnXce7733HsYY5s2bx/Dhw8+2WgC0a9eOo0ePcvjwYbf9N954I507d2bixIllOs727dtp27at277777/f9Z+wMyc43rRpk+s951La2LSzMWPGDK666ioee+wx2rRpQ3x8PKNHj2bq1KmuuN955x1effVVbrzxRlq1asVVV13lulwdGBjIE088wSWXXELLli257bbbiI+PV+JURSlxElvddNNNHDhwgEWLFtGvXz9WrFjBxRdf7PY/taIcP36chx56iJiYGOrWrUutWrXYtm1boR6nksaKVAZTwqOBCmratCnbtm2jW7duZTruW2+9RUJCAgsWLCiUrJTn8USjR49m48aNvPXWW0W+n5OTw5AhQ8jLy2PWrFmu/XfffbfbH6Pivru07y9KweMWnKutqHoV953lUZ7jOgdEn3l3U7du3di2bRtNmzY9qxj27dvH4sWLueOOOwq998UXXzB69OhSYz5zX3l+Ds40fPhw5s6dy1dffeXq3T0XJZ3TZ555hvnz57N169YyHevMYzzyyCOkpKTw+OOPc+zYMbf32rZtS0pKitvy6aefnmUtivfDDz9w2WWXue277LLL2LFjB7m5uaSkpBAQEEDPnj2LPcbs2bPp2rUrDRs2pFatWvznP/8pdUya2MMr5nES31ajRg369OlDnz59ePzxxxkxYgQTJ04sdMmioHHjxrF48WKmTZtG69atCQkJ4eabby40ADw0NPSsYnL2rGRkZBS6PPX777+7HuNTmjZt2rBy5UpycnLOqTeioAULFnDHHXfw7rvvcvXVV7u9FxERUebHE/39739n0aJFfP3110U+iignJ4dBgwaxa9cuvvzyS7fepsTERB588MFC3/3LL78UOs6vv/5arss8Be94dH5ncfWqXr06DRo0KPOxz1TccYFCMRtjePXVV4mLiyMoKOisv7Moc+fOpUGDBmUagF9aG5/NY6rOdNttt/HQQw+RkJDA7bffTvXq5/an4ocffqBOnTpFttUVV1xBv379ePjhh0v8Nw9w/vnns23bNrd9DRs2pGHDhkX2dgYFBdG6dWu3fedal6IUlZSaAndmhoSElPj5d955hwceeIDp06cTGxtL7dq1mTp1qtuAf6k61OMkVU5MTIzrDi+wurELjo0A+Oabb4iPj+fGG2+kY8eORERElGl8ifMP3pnHO9P5559PtWrVCt0WnpaWxv79+wtdLijO0KFDOXbsmFtvTUHlnQfmrbfeIj4+njfffJNrr7220PuxsbGFHk+0ZMkSt8cTGWMYPXo0Cxcu5Msvv6Rly5aFjuNMmnbs2MGyZcsK/cFr1KiR6/Kn8w9TbGwsGRkZrnFkAKtXryYjI6Ncj0cqeFznH8Pi6tW1a9dzSkhjY2P5+uuv3RLuJUuWEBkZ6XbrPVh3I+7cubPIXqFzYYxh7ty53H777WWqS2ltXBGPqapfvz4DBw7kq6++OufLdAcPHuTNN9/khhtuoFq1ov/kTJkyhY8++qjUMVi33norP/74I//73//OKaaKFhMTw8qVK932rVq1ijZt2hAQEEDHjh3Jy8vjq6++KvLz33zzDT169OCee+7hoosuonXr1vz000+VEbqcBSVOYpvDhw9z5ZVX8vrrr7Nx40Z27drFu+++yz//+U+uv/56V7no6Gi++OIL0tPTXbcut27dmoULF5KSksL333/P0KFDycvLK/U7GzVqREhICJ9//jm//PJLofllnGrXrs1dd93F2LFj+fDDD9m1axfffvstt956KxdccEGhgbfFufTSS3nooYcYO3YsDz30EElJSezZs4cvvviCW265hfnz5wOwf/9+2rVr55Z0nOmtt97i9ttvZ/r06XTv3p309HTS09Pd6nDfffexZMkSnnnmGbZt28YzzzzDsmXLuP/++11lRo0axeuvv86bb75J7dq1Xcf5448/ADh16hQ333wz69at44033iA3N9dVpqQpHS644AL69+/PyJEj+e677/juu+8YOXIk1113nVuiuXPnTlJSUlzf6byEUtKx7777bvbs2cOYMWP44YcfePXVV5kzZ45br1d2drbbsfbv309KSorb3D5nGjp0KMHBwcTHx7N582Y++OADnn76acaMGVOoB2HOnDlceumlRY4FW7NmDe3atWP//v2ufenp6W7fv2nTJlJSUgpNtfHll1+ya9euYhOyq666ihdeeMH1uixtPGbMGF555RVeffVVfvjhBx544IFyP6Zq3rx5HDp0iHbt2pX5M8YY0tPTSUtLc7VTjx49CAsLKzRnU0EdO3bktttuY+bMmSUef8iQIdx8880MGTKExMREVq9eze7du/nqq69YsGABAQEBZY61Io0dO5YvvviCJ598ku3btzN//nxeeOEF189ndHQ0w4YNY/jw4a7fJytWrHCNYWrdujXr1q1j8eLFbN++nccee6zUubzERh6/b68K0HQEVdPJkyfN+PHjzcUXX2zCwsJMzZo1Tdu2bc2jjz5qTpw44Sq3aNEi07p1a1O9enXX7dC7du0yvXv3NiEhISYqKsq88MILpmfPnua+++5zfa64W4v/85//mKioKFOtWrVipyNwxpeYmGguuOACExISYlq0aGHi4+NNWlpakeVLul14wYIF5oorrjC1a9c2oaGh5sILLzSJiYmu25mdt0gvX7682Hh69uxZaDoFwAwbNsyt3Lvvvmvatm1rAgMDTbt27cz777/v9n5RxwDM3Llz3WIpaikpPmOMOXz4sLnttttM7dq1Te3atc1tt91W6Db84uqxa9euEo+9YsUKc9FFF5mgoCATHR1tXnzxRbf3i4u7pDY2xpiNGzeayy+/3AQHB5uIiAiTkJBQaCqC33//3YSEhJiXX365yGM4b08vWIeJEyeWeJ6dbr31VtOjR49i42vRokWh6S9Ka2NjjPn3v/9tWrRoYYKCgszFF19c4nQTxhQ/nYDTs88+W+p0BM46OhwOExYWZrp162YSExNNRkaG27GK+reye/duExwcXOJ0BMYYk5uba2bPnm0uvfRSExoaaoKCgkyrVq3MyJEjzdatW13l7JqOIDAw0DRv3txMnTrV7TN//PGHeeCBB0yTJk1c0xG8+uqrxhjrd018fLwJCwszdevWNX/729/M+PHj3eLXdAQlq8y/8w5jClyI9VH79u0jKiqK1NTUIsdyiIiIiPeqzL/zulQnIiIiUkZKnEQ85HvgSmCY3YFUhhMnoFs3GDgQipnMVETEF2g6AhEPyQCWA2W7/87LpafD2rUQEgIVfKu+iEhVoh4nETl3zvmbGjcGmx57ISJSGZQ4ici5c062GBFhbxwiIh6mxEnEQ/yq30WJk4j4CSVOInLulDiJiJ9Q4iTiYT4/URrA0aPWusADf0VEfJESJxEP84tLds6epjMeLCsi4muUOInIuYuMtNYHDtgbh4iIhylxEvEwv7hU50ycUlPtjUNExMOUOIl4SEj++g9bo6gkbfOn+fz5Z80cLiI+TYmTiIeE5q+P2xpFJYmMhLp1ITcXfvzR7mhERDxGiZOIhzjvLztmaxSVxOGADh2s7c2b7Y1FRMSDlDiJeIizxyk7f/F5SpxExA8ocRLxkNAC235xuS4mxlpv22ZvHCIiHqTEScRDAgtsn7ItikpUp461/sMvhsOLiJ9S4iTiIQX/ceXZFkUlqpZfY+MXEzCIiJ9S4iTiQc5/YH6RODny50jP84vaioifUuIk4kHOf2C5tkZRSZyJk3qcRMSH2ZY47d69mzvuuIOWLVsSEhLCeeedx8SJE8nOdr//yOFwFFpmz55tU9Qi5ROQv/aLxMl5qS7XL2orIn6qul1fvG3bNvLy8njppZdo3bo1mzdvZuTIkRw/fpxp06a5lZ07dy79+/d3vQ4LC6vscEXOSjCQlb/4POfg8MxMe+MQEfEg2xKn/v37uyVDrVq14scff+TFF18slDjVrVuXCOfT10W8SAiQiZ88dqV+fWv922/2xiEi4kFVaoxTRkYG9Z2/fAsYPXo04eHhXHLJJcyePZu8UgafZmVlkZmZ6VqOHj3qqZBFSuR8Xt1JW6OoJM5/u4cP2xuHiIgH2dbjdKaffvqJmTNnMn36dLf9Tz75JFdddRUhISF88cUXjB07lkOHDvHoo48We6zJkyfzxBNPeDpkkVI553LKsTWKSuK8hH7smDVA3DlYXETEhziMqdhbYBISEkpNWtauXUvXrl1drw8cOEDPnj3p2bMnr7zySomfnT59OomJiWRkZBRbJisri6wCT2jfv38/MTExpKam0qxZszLWROTcnQ/sBFYCl9kci8f9/jvUq2dtZ2VBUJCt4YiI/9i3bx9RUVGV8ne+wnucRo8ezZAhQ0osEx0d7do+cOAAvXv3JjY2lpdffrnU43fv3p3MzEx++eUXGjduXGSZ4OBggoODXa8zNVhVbOYXfS81apzePnlSiZOI+KQKT5zCw8MJDw8vU9n9+/fTu3dvunTpwty5c6lWrfQhV8nJydSoUYO6deueY6Qinue8Mb9KDSb0lICA09s5fnFxUkT8kG1jnA4cOECvXr1o3rw506ZN49dff3W957yD7qOPPiI9PZ3Y2FhCQkJYvnw5jzzyCHfeeadbj5JIVeW8m66mrVFUkiNHTm9ryhAR8VG2JU5Llixh586d7Ny5s9D1SOewq8DAQGbNmsWYMWPIy8ujVatWJCYmMmrUKDtCFim34/lrv0icnHfT1a0L1avMfSciIhXKtt9u8fHxxMfHl1jmzLmeRLyJAU7kb/tV4tSggb1xiIh4kF8MvRCxQw6nxziF2hlIZVHiJCJ+QImTiIcUnPTSL0bkOacI0Y0bIuLDlDiJeEhgge1TtkVhA018KSI+TImTiIcUnMUo27YoKpFzOpFSHokkIuLNlDiJeEgApye+9KvEqWIfRiAiUqUocRLxIGfi5BepxKn8C5KaikBEfJgSJxEPciZMfvEPLTu/Xy0wsORyIiJezC9+n4vYwXA6cfKL4dLOxEnPqBMRH6bEScRDCl6e84vEyfl8OiVOIuLDlDiJeIjfJU66VCcifkCJk4iH+EWyVJAGh4uIH1DiJOIhBf9x5RZbyofk5tcyIMDeOEREPEiJk4gHOf+B+cWUkM7EqZp+rYiI79JvOBEPcva9+EWPk3PGcPU4iYgPU+Ik4kHOf2B+lTjpWXUi4sOUOIl4kPP+Mr94yG+DBtb6l1/sjUNExIOUOIl4kDNxyrE1ikrSqpW1/vlne+MQEfEgJU4iHuScCtIvEqeWLa31rl32xiEi4kFKnEQ8yDlM2i8u1UVGWusjR07P6SQi4mOUOIl4kHMaAr+4zyw4+PR2VpZ9cYiIeJASJxEPciZOfvEPrUaN09tKnETER/nF73MRuzgTJ7+4Qb969dOTX548aW8sIiIeosRJxIP8qscJTl+uU4+TiPgov/l9LmIH5910fjHGCU73OOX5xUNmRMQPKXES8SDnBasQW6OoJMbAiRPWdmiovbGIiHiIEicRD8nldI+TXyRO2dlW8gQQ4hc1FhE/pMRJxEMKTnoZWGwpH1JwQHjBO+xERHyIEicRDwnm9N10f9gZSGWpVuDXibPnSUTExyhxEvEQB1Arf/uonYFUloACQ+A1c7iI+CglTiIeVDt/7ReJU/Xqp7dz/OLpfCLih2xNnKKjo3E4HG7L+PHj3crs3buXAQMGEBoaSnh4OPfeey/Z2dk2RSxSPs5/YH5xc77GOImIH6heehHPSkxMZOTIka7XtWrVcm3n5uZy7bXX0rBhQ1auXMnhw4cZNmwYxhhmzpxpR7gi5ZKbv/aLeZyO5verBQQocRIRn2V74lS7dm0iIiKKfG/JkiVs3bqV1NRUIvOfvD59+nTi4+OZNGkSderUqcxQRcrNrxKnzExrXacOOPziITMi4odsH+P0zDPP0KBBAzp37sykSZPcLsMlJSXRoUMHV9IE0K9fP7Kysli/fr0d4YqUi18lTs4eJ/2HRkR8mK09Tvfddx8XX3wx9erVY82aNUyYMIFdu3bxyiuvAJCenk7jxo3dPlOvXj2CgoJIT08v9rhZWVlkFXhW1tGjfjE0V6ogv0qcnD1OtWuXXE5ExItVeI9TQkJCoQHfZy7r1q0D4IEHHqBnz55ceOGFjBgxgtmzZzNnzhwOHz7sOp6jiC5/Y0yR+50mT55MWFiYa4mJianoaoqUiV8lTgcPWuvwcHvjEBHxoArvcRo9ejRDhgwpsUx0dHSR+7t37w7Azp07adCgAREREaxevdqtzJEjR8jJySnUE1XQhAkTGDNmjOv1/v37lTyJLZyJk+2DCStDWpq1btLE3jhERDyown+fh4eHE36W/+NMTk4GoEn+L97Y2FgmTZpEWlqaa9+SJUsIDg6mS5cuxR4nODiY4OBg1+tM5yUEkUrmnAbyayAKH06g8vIg/9+vEicR8WW2DQ5PSkri2WefJSUlhV27dvHOO+9w1113MXDgQJo3bw5A3759iYmJIS4ujuTkZL744gsefPBBRo4cqTvqxCs0zV/HA+cBk4FfbYvGQ3bvhj594I03rNfdutkajoiIJ9mWOAUHB7NgwQJ69epFTEwMjz/+OCNHjuStt95ylQkICOCTTz6hRo0aXHbZZQwaNIgbbriBadOm2RW2SLl8DTwENAD2Ag8DzYA44DvAq5/oZgz85z/QsSN8+SWEhMC//gWDBtkdmYiIxziM8f2nce7bt4+oqChSU1Np1qyZ3eGIHzoJLAD+DawtsL8LMAoYAoTYENdZS02FESNgyRLr9WWXwbx50Lq1rWGJiH+qzL/zts/jJOIPagDDgDX5yzAgGFgPDMfqhRoH/GxXgGVlDMydCx06WElTjRowfTp89ZWSJhHxC0qcRCrZJcA8YB/wDBAN/AZMA1oDPYEHgdeBLZweYG679HQYOBCGD7fmbLr0UmtA+Jgx1mNWRET8gM/e5CNS1YVjjX8aC3yGdRnvc6xxUV8XKFcD6Ah0Bi7KX18IhFZeqPC//1mX5g4dgqAgePJJGDtWCZOI+B0lTiI2CwCuy19+AlYAKUAy8D1wDGtcVMGxUQ6gDacTKee6UUUHd+wYPPAA5M/mT6dO8Prr1qU6ERE/pMRJpAo5L39xysNKplKwEinnOh34MX95u0D5SNwTqYuAlpzlNfnvvoO//AV++sl6aO+4cZCYCAXmSBMR8TdKnESqsGrA+fnLLQX2p2MlUSmcTqh2AAfyl08LlK2NlUR15nRC1R4IKu5Lc3Lgqadg0iTIzYWoKPjvf6FXr3OvkIiIl1PiJOKFIoD++YvTMWAj7j1Tm4GjwDf5i1MgEIM1dqpDdjYddu2iQ3IyzVetwrF8OWzebBUcOhT+/W+oW9ej9RER8RZKnER8RC2gR/7ilANsIz+RMoaUP/4guXp1fg8K4nusMVQEBUHbttC2LbWvuYb2W7bQfscOOnToQIeLL6YD0BhrXJWIiL9T4iTii377DTZtInDjRjpu2kTHjRuJ27wZjh/HAHubNyelc2c2d+jAlvbt2dy5M9vOP5+jderwXWws38XGuh2uAdblvQ4FlvZA/cqul4iIzZQ4iXiznBz48UfYuPH0smkT7NtXdPngYBzt29PiwgtpceGFXN+xo/XIlMaNycEaJ7X5jOUn4DCFp0kAazD6mQlVDFbvl4iIL1LiJOINjIG0tNOJkTNJ+uEHK3kqSnQ0XHihlRhdeKG1tG4N1Yv+Z+8c9xQDFHza3B9Yl/vOTKj2cnow+tIzjtWSwglVW6w5qUREvJkSJ5GqbOdOuP9+a2qAw4eLLlO79unEyJkodegAYWEVEkII1t14F52xPxPYSuGE6hdgV/7ycYHyAVgzo18BDMaaIV2/gETE2+j3lkhV9c03cMMN1nglgGrVrEHcZ/YiNW9uzbNUyeoA3fOXgn7FelTMFtwTqt85PffUf7Am67wZK4n6E3r+k4h4ByVOIlXR66/DHXdAdjZccok1JUDHjtZDdau4hkCv/MXJYF3SSwH+B7wPHARm5S+RWPNUDcZKxHQHn4hUVfpPnkhV88QTEBdnJU033QQrVljJkxckTcVxAE2Ba4GXsSbw/BQYBoRhJVX/wppKIRoYB2y3I1ARkVIocRKpSn78ERISrO1774V33oGaNW0NyRMCgT8D87DGRP0PGIp1N95eYBpwAXA7SqBEpGpR4iRSlURHQ5s21nZmpjWuyccFAwOBN7Au370HXIP1nL7XsBKoYVhTJYiI2M33fyuLeJPgYHj1VWuw97x58OmnpX7El4QANwGfAGuwLu3lAf8F2qEESkTsp8RJpKq57DJ44AFr+8474fffbQ3HLpdgTWdwZgJ1ARAP7LQtMhHxZ0qcRKqiJ5+E88+H/fvhnnvgl1/sjsg2ZyZQucB8rB6oeKyHF5+0KzgR8TtKnESqopo1Ye5c65LdW29BRAS0bw+jR8P778OhQ3ZHWOmKS6CuwLoz73LgYeAzIMOmGEXE9zmMMcbuIDxt3759REVFkZqaSrNmzewOR6Ts5s+HZ5+F778v/F7HjtC7t7VccQXU969H7q4FngWWY01vUFA14EKsZMq5RFRqdCJSmSrz77wSJxFvcPgwfP01LF9uLZs3u7/vcECnTqcTqcsvh7p1bQm1shmsBxF/g/UQ4m/yX5/J+bgXZyLVCk20KeIrlDhVMCVO4nMOHoSvvjqdSG3b5v5+zZqwciVcdOYT5vxDGlYC5Vw2YiVYBd2P1WMlIt6vMv/Oa4yTiDdq1AhuuQVmzYIffoC0NGss1J13Wj1NJ05ASordUdqmCTAImIn1mJffsKY4+Aenn633H+APO4ITEa+mxEnEF0REwJAh8NJL0KWLtS842N6YqpC6WJNqTgFWAc2B48DnNsYkIt5JiZOIr8nKstZKnIrkAG7O337PzkBExCspcRLxNdnZ1jooyN44qjBn4vQRmgNKRMpHiZOILzlyBA4csLbV41SsS4FmwFHU6yQi5aPEScRX7NwJsbGwbx/Uru23d9SVRTXgjvztUejxLSJSdkqcRHzBV1/BpZfCjz9CVBR88w00bGh3VFXaI8BlQCbwf8AJe8MRES9hW+K0YsUKHA5HkcvatWtd5Yp6f/bs2XaFLVL1vPoq9OkDv/0G3brBmjXWZJhSokDgHaAxsAm4i8JzPYmInKm6XV/co0cP0tLS3PY99thjLFu2jK5du7rtnzt3Lv3793e9DgsLq5QYRaq03FyYMAGmTrVeDx5sPd8uJMTeuLxIJLAAuAp4HWuOp1G2RiQiVZ1tiVNQUBAREaefHpWTk8OiRYsYPXo0Dof7gxDq1q3rVlbE7/38M9x1FyxbZr2eONFaHHqISHn1BJ4BHgQeABpiTZ4pIlKUKjPGadGiRRw6dIj4+PhC740ePZrw8HAuueQSZs+eTV5eXuUHKFIVnDoF06ZBhw5W0lSjBrz5JiQkKGk6B2OAIUAOMBh4GMi1NSIRqaps63E605w5c+jXrx9RUVFu+5988kmuuuoqQkJC+OKLLxg7diyHDh3i0UcfLfZYWVlZZDknAQSOHj3qsbhFKs2GDTBiBCQnW69797ZmCj//fHvj8gEO4DWsKQqmAZOB74E3AQ0MEJGCKrzHKSEhodhB385l3bp1bp/Zt28fixcv5o477ih0vEcffZTY2Fg6d+7M2LFjSUxMZKpzTEcxJk+eTFhYmGuJiYmp0DqKVLqnn4ZLLrGSpnr1rAHhX3yhpKkCVQemYo11qgF8CnQDFqHeJxE5zWGMqdAbSQ4dOsShQ4dKLBMdHU2NGjVcr5988klmzpzJ/v37CQwMLPGz3377LX/6059IT0+ncePGRZY5s8dp//79xMTEVMpTk0U8IjTUenBvv34wfz4U87MvFWM9cAOwL/91NHAP1txP9e0JSURKsG/fPqKioirl73yFX6oLDw8nPDy8zOWNMcydO5fbb7+91KQJIDk5mRo1alC3bt1iywQHBxNcYNbkzMzMMscjUiUNGWL1MlWrpqSpEnQBNmD1QM0BdgMPAY8DtwGjgc42xSYi9rJ9cPiXX37Jrl27irxM99FHH/Gf//yHzZs389NPP/HKK6/wyCOPcOedd7olRiI+b8IEK2n67DM441K3eEZD4J9AKlby1BnruXZzgIuAy7GmMsixKT4RsYftidOcOXPo0aMHF1xwQaH3AgMDmTVrFrGxsVx44YX861//IjExkenTp9sQqYiNWreGoUOt7aeesjcWP1MTGI7VA7US6+676gW2WwCJQLpdAYpIparwMU5VUWVe+xTxmHXrrAHiACkpmh3cRgeAl4GXOJ0wBQI3AXFAn/zXIlI5KvPvvO09TiJSgtxcWLwY/vIX6Nnz9P716+2LSYgEEoA9WFMW9MC6ZPc2cC3QBLgb+ArQrHMivqXKzOMkIgVs3Aj//a81uWXBRxO1aQPx8RAXZ1tocloQcGv+sgGYh/X8u1+weqNewkqyBueX6Yo1Z5SIeC8lTiJVRVqalSj9979W4uRUvz7cequVLHXrphnCq6iL85cZwArgLeB9rMt6z+YvrbHGRd0KaHY5Ee+kxEnETsePw4cfwmuvwdKl4HycUFAQDBhgJUt//rP1WrxCdeDq/GUW8DlWErUI2Ak8lb9ciJVADQZa2hKpiJwNJU4idjh5Eh54AF5/HY4dO72/Rw+4/Xa45Rarp0m8WjBwff5yDCt5egtYDGzMXyYA3bHGRvUALgVC7QhWRMpEiZOIHVavhtmzre2WLa1k6S9/saYdEJ9UCxiav/wGLMRKopYD3+UvAAFYc0b1AC7LX0chIlWFEicRO3TtCrVqWb1Nc+e63zEnPq8+MCJ/ScNKor4BvsV6zMv6/GVmfvko3BOpTuiXt4hdNB2BiB1CQ63HqICVOInfagKMwprKIBXYi9UT9XesweYB+fsXAPdi3ZkXBlwJPIY1EN3nJ+MTqUL0nxaRypaXB598Aps2Wa//9z9745EqJQrrzrv8tJpjwBpgFVaPVBKQgXWJbznWQPPHgScqPVIR/6TESaSyZGZaD+p94QX46SdrX7Vq1vgmkWLUwupdujL/dR6wFSuRWo7VU5UItMO6S09EPEuJk4in7dgBM2dal+Scd9DVrQsjR8KoUdCiha3hiXepBnTIX+7E6qGaCvwVa1qD7vaFJuIXlDiJeIIx1rxM//oXfPrp6f0XXAD33WfdQReqm87l3E0GfsSa6uAGrMt6ze0MSMTHKXESqUh//AHz58Pzz8MPP5zef+21VsJ09dWa+VsqVADwBtYddxuBAcBKoLadQYn4MCVOIhXl88+tS28//2y9rl0b/vpXGD0azj/f3tjEp9UCPgK6YSVP3YG5+a9FpGJpOgKRc7V/PwwaZD0a5eefoWlTeO452LfPulSnpEkqQXOsy3WNsQaPxwLjgZN2BiXig5Q4iZytU6esS3IXXADvvgsBATBmjHWJ7r77oE4duyMUP9MN2ALchnX33TPARZyelVxEzp0SJ5GzceIEXHGFlSAdPQqXXgrr1sH06dYlOhGbNABeBz4EIoBtWOOfZtkYk4gvUeIkcjbGj4ekJAgLs545t2oVdO5sd1QiLtdj9T79Bav36V6sQeMicm40OFykvJYuteZlAnj7bejf3954RIpRH/gvkIv1GJfBQDLQyM6gRLycepxEyuO33yA+3tq+5x4lTVLlOYCXsWYWP4A1/inX1ohEvJsSJ5HyGDUKDhyANm3gn/+0OxqRMqkFvAfUBJYBT9objohXU+IkUlZz5liX5gIC4LXXNPO3eJX2wOz87UTgSxtjEfFmSpxEyuLtt+HOO63txx+HbppaULxPHDACMMDdQJa94Yh4JSVOIqV5/33r2XJ5eTBiBDz6qN0RiZy1aVjTFOzAejiwiJSPEieRkixaBEOGQG4uDBsGL70E1fTPRrxXGDA9f3sSsMvGWES8kf4CiBTns8/gllusGcKHDrXGOClpEh9wK9Ab63Esf8e6dCciZaO/AiJFSUqCG2+E7Gy4+WaYP98aFC7iAxzAv4FA4JP8RUTKRomTyJlOnoS//hWysmDAAHjzTaiuuWLFt1wA3Je/PdPOQES8jBInkTNNmgQ//ggREfDf/0JgoN0RiXjEXfnrZUCanYGIeBElTiIFbdoEU6ZY2//+N9Sta2s4Ip7UGojFepbdmzbHIuItlDiJOOXmwsiR1mDwG2+E//s/uyMS8bjb89ev2RqFiPfwaOI0adIkevToQc2aNalbzP/c9+7dy4ABAwgNDSU8PJx7772X7OxstzKbNm2iZ8+ehISE0LRpUxITEzFG94FIBXvpJVi9GurUgRdesDsakUoxCAgCvgc22hyLiDfwaOKUnZ3NLbfcwt/+9rci38/NzeXaa6/l+PHjrFy5krfffpv333+fsWPHuspkZmbSp08fIiMjWbt2LTNnzmTatGnMmDHDk6GLP3rvPWv9+OMQGWlvLCKVpD5wXf72HDsDEfESHr1V6IknngBg3rx5Rb6/ZMkStm7dSmpqKpH5f6imT59OfHw8kyZNok6dOrzxxhucPHmSefPmERwcTIcOHdi+fTszZsxgzJgxOBwOT1ZB/MmWLdb6iivsjUOkkt0JLAT+C0zGehiwiBTN1jFOSUlJdOjQwZU0AfTr14+srCzWr1/vKtOzZ0+Cg4Pdyhw4cIDdu3dXdsjiqw4dgoMHre0LLrA3FpFK1gdoCfyOlTyJSPFsTZzS09Np3Lix27569eoRFBREenp6sWWcr51lzpSVlUVmZqZrOXr0qAeiF59y4MDp7REj3F+L+LhqWL1OAH8DhgA/2ReOSJVW7sQpISEBh8NR4rJu3boyH6+oS23GGLf9Z5ZxDgwv7jLd5MmTCQsLcy0xMTFljkf8VIcO8OCD1iNVFiywep1eeMG6007ED9wPxGPNKr4Aa4LM+4HDtkUkUjWVO3EaPXo0P/zwQ4lLhw4dynSsiIiIQr1GR44cIScnx9WrVFSZg/mXVM7siXKaMGECGRkZrmXr1q3lrab4m2rVYOpUWLcOunWDzEz4+9/h0kutfSI+rgYwF0gG+gE5wL+A84BngD/sC02kSil34hQeHk67du1KXGrUqFGmY8XGxrJ582bS0k7PWbtkyRKCg4Pp0qWLq8zXX3/tNkXBkiVLiIyMJDo6usjjBgcHU6dOHddSu3bt8lZT/NVFF8GqVfDiixAWBuvXW4nU3/8OGRl2RyficZ2Az4El+dsZwHigDTAfUB+s+DuPjnHau3cvKSkp7N27l9zcXFJSUkhJSeHYsWMA9O3bl5iYGOLi4khOTuaLL77gwQcfZOTIkdSpUweAoUOHEhwcTHx8PJs3b+aDDz7g6aef1h114jkBAXD33bBtG9x2GxhjXbZr1w4++sju6EQqRR9gA9Zg8ShgH9alvC7AavvCErGf8aBhw4YZoNCyfPlyV5k9e/aYa6+91oSEhJj69eub0aNHm5MnT7odZ+PGjebyyy83wcHBJiIiwiQkJJi8vLwyx5GammoAk5qaWlFVE3+ybJkxbdoYA8YEBRmzb5/dEYlUqj+MMc8YY8KMMRhjGhhjMu0MSOQMlfl33mGM70/BvW/fPqKiokhNTaVZs2Z2hyPeKCsLrrzSuoz34IPWeCgRP3MY69l2O7DmexpvbzgiLpX5d17PqhMpi+BgePhha/ull+D3320NR8QODYDH87enAproRfyREieRsrrmGmvagqNHYfZsu6MRscUQrIHivwF6oqP4IyVOImXlcMC4cdb2v/4FJ0/aG4+IDaoDj+VvT0O9TuJ/lDiJlMett0JUFKSnw//+Z3c0IrYo2Ov0L5tjEalsSpxEyiMwEIYMsbY/+cTeWERsUh2YmL89HesZdyL+QomTSHlde621/uwzPZJF/NZgoD1W0jTD3lBEKpUSJ5Hy6tED6tSBQ4f0OBbxWwHAE/nbzwKHbIxFpDIpcRIpr8BA6NvX2tblOvFjNwIXAceAf9oci0hlUeIkUh7Z2TBrFnzzjfV67Vp74xGxUTUgMX/730CmjbGIVBYlTiJlkZcHb7wBF1wAo0bBL79AdDT84x92RyZiq2uBC4ATwJs2xyJSGZQ4iZTEGPj4Y+jcGf7yF/j5Z2jc2Hro748/Qq9edkcoYisHcGf+9ktYDyQV8WVKnERKMn06DBgAmzZBWBg8/TT89JPV6xQUZHd0IlXC7UAwkAKstzcUEY9T4iRSHGPg3/+2tv/2N6u3acIECA21Ny6RKqY+1kBxgLfsDESkEihxEilOSgrs3g0hITBtGtSvb3dEIlVW/rSwLADy7AxExMOUOIkU5/33rfWf/ww1a9obi0gV1x8IA/YD39oci4gnKXESKc7Chdb6ppvsjUPECwQDN+RvL7AxDhFPU+IkUpQff4QffrAmu3Q+YkVESuS8XPcOkG1nICIepMRJpCiff26te/Wy7qYTkVJdBUQAvwLv2RyLiKcocRIpypIl1tr5aBURKVUgMCp/+1k0p5P4JiVOImfKyoIVK6xtJU4i5XIX1nindUCSzbGIeIISJ5EzJSXBiRPWDOEdO9odjYhXaQj8JX/7ORvjEPEUJU4iZ3JOQ9CnDzgc9sYi4oXuy1+/DxywMxARD1DiJFLQihWnZwu/9VZbQxHxVh2BC7EmwtxgcywiFU2Jk4jT4cPWg3yNgeHD4Zpr7I5IxGudn7/+ydYoRCqeEicRsJKlESNg/35o0waef97uiES82nn56522RiFS8ZQ4iQC89BJ8+KE14eVbb+lBviLnqHX+Wj1O4muUOImsWAEPPGBtT54MF19sazgivkA9TuKrlDiJf/vkE+shvidPWo9WcSZQInJOGuWvf7czCBEPUOIk/mvBArjhBitpGjgQ3nsPqumfhEhFCMxf59gahUjF018J8U9vvWVNN3DqFNx2m5U01ahhd1QiPqN6/vqUrVGIVDwlTuKfJk607qS7807473+tQeEiUmFq5q9PoORJfItHE6dJkybRo0cPatasSd26dQu9//3333PrrbcSFRVFSEgIF1xwAf/617/cyuzevRuHw1Fo+dz59HqR8jp0CHbssLanTNHlOREPaIz1zLo8INXmWEQqUvXSi5y97OxsbrnlFmJjY5kzZ06h99evX0/Dhg15/fXXiYqKYtWqVdx5550EBAQwevRot7LLli2jffv2rtf169f3ZOjiy1avttbt2kG9evbGIuKjqgEtgW1YUxK0tDcckQrj0cTpiSeeAGDevHlFvj98+HC3161atSIpKYmFCxcWSpwaNGhARESER+IUP5OU/8z27t3tjUPEx52HlTj9bHcgIhWoyl2jyMjIKLI3aeDAgTRq1IjLLruM9957r8RjZGVlkZmZ6VqOHj3qqXDFG333nbWOjbU3DhEf1yp/rbmcxJdUqcQpKSmJd955h7vuusu1r1atWsyYMYP33nuPTz/9lKuuuorBgwfz+uuvF3ucyZMnExYW5lpiYmIqI3zxBocPw8qV1naPHvbGIuLjOuSvXwX22hmISAUqd+KUkJBQ5GDtgsu6devKHciWLVu4/vrrefzxx+nTp49rf3h4OA888ADdunWja9euJCYmcs899/DPf/6z2GNNmDCBjIwM17J169ZyxyM+au5cyMqyZgcvMGZORCre7UAX4DBwE3DS3nBEKkS5xziNHj2aIUOGlFgmOjq6XMfcunUrV155JSNHjuTRRx8ttXz37t155ZVXin0/ODiY4OBg1+vMzMxyxSM+Ki8PZs+2tv/2N3A47I1HxMfVAN7DSp7WAfcBL9kakci5K3fiFB4eTnh4eIUFsGXLFq688kqGDRvGpEmTyvSZ5ORkmjRpUmExiJ9YuhR++gnCwqzJL0XE46KBN4E/Ay8DlwLDS/qASBXn0bvq9u7dy2+//cbevXvJzc0lJSUFgNatW1OrVi22bNlC79696du3L2PGjCE9PR2AgIAAGjZsCMD8+fMJDAzkoosuolq1anz00Uc8//zzPPPMM54MXXzRrFnWetgwCA21NxYRP9IPSAQeA+4BLgS62hqRyNnzaOL0+OOPM3/+fNfriy66CIDly5fTq1cv3n33XX799VfeeOMN3njjDVe5Fi1asHv3btfrp556ij179hAQEECbNm149dVX+ctf/uLJ0MUXOQeFq7dJpNI9DKwGPgYGAKvQ3E7inRzGGGN3EJ62b98+oqKiSE1NpVmzZnaHI3aJiYEffoBly+Cqq+yORsTvZABXABuBNsC3QMUN/BB/Vpl/56vUdAQiHtW8ubXeqxujRewQBnwGNAe2Y/U8nbA1IpHyU+Ik/kOJk4jtIoHPgXrAd8Ct6CHA4l2UOIn/iIqy1kqcRGx1AbAI6yHAi4Ax9oYjUi5KnMQ/rFp1+q66E7o4IGK3PwFz87dfBvJsjEWkPJQ4ie975RXo1QvS06FDB5g82e6IRARonb+uj/4YiffQz6r4ruxsGDUKRo6EnBz4v/+DpCQo58z2IuIZu/LXmpZAvIkSJ/FNBw9Cnz7W5TmHA558Et59F2rVsjsyEcnnTJxa2RqFSPl4dAJMkUp14gRs2ADffQfPPw+pqVC7NrzxBgwYYHd0InKGn/PX6nESb6LESbxTXh5s3w6rV1uJ0urVsHEj5OaeLtOmDfzvf9CunX1xikixduSvz7M1CpHyUeIk3uHQIfckac0ayMgoXK5JE7j0UujRA+6803qgr4hUOQb4Pn/7QjsDESknJU5SNe3aBR99dDpZ+vnnwmVCQqBLFytR6t7dWjdrZo1pEpEqbR/wG9YfoRibYxEpDyVOUvXk5ECnTnD0qPv+du2s5MiZKHXoAIGB9sQoIudke/66LprDSbyLEiepeqpXh7594f33rdddu8Inn0CjRvbGJSIV5iKgIfArcBcwH1BfsXgDTUcgVY/DAQsWwOOPW6/XrYPrr4d9++yNS0QqTH1gARAAvAa8YG84ImWmxEmqpoAAeOIJa5xT3brWOKcuXWD5crsjE5EK0hv4Z/72GOAbG2MRKSslTlK1XXed1ePUqZM1qeXVV8PUqWCM3ZGJSAV4ABgCnAJuBvbbG45IqZQ4SdV33nnWQ3pvv92av+mhh06PfxIRr+YAXsGakuAg8H/AH7ZGJFIyJU7iHWrWhHnzoHdv6/WRI7aGIyIVJxT4AGvc0xrgTqx5nkSqIiVO4j0cDqvHCaBOHXtjEZEK1Qp4F2uw+OvAVHvDESmWEifxLs65nWrXtjcOEalwVwL/yt8eD3xiYywixVHiJN4lM9Naq8dJxCfdw+lLdbcCW+0NR6QQJU7iPX79FdLTrW0lTiI+yQHMBK4AjgKj7A1HpBAlTuIdcnPh1lvh2DFo2xZi9HQrEV8VBDydv73XzkBEiqDESbxDQgJ88YV1d93771uPZRERn+V8CmWurVGIFKbESaq+Tz6Bp56ytv/zH2jf3t54RMTjnH+c9ABgqWqUOEnVtmsX/OUv1vaoUTB0qL3xiEilCMhfq8dJqholTlJ1bdkCffrA77/DpZfC9Ol2RyQilcT5x0mJk1Q1SpykavrwQ+jeHX76CaKj4d13ITjY7qhEpJI4Zw7XHympavQzKVVLXh488QTceKN1B13v3rB2LURF2R2ZiFQi59gm/ZGSqka3JknVcfSo9SDfDz+0Xt97L0ybBoGBJX5MRHyPepykqlLiJFXDTz/B9ddb45qCgmD2bPjrX+2OSkRsoh4nqao8+jM5adIkevToQc2aNalbt26RZRwOR6Fl9uzZbmU2bdpEz549CQkJoWnTpiQmJmKMnp3tE37+Gf72N2uKgS1boEkT+OorJU0ifi7vjLVIVeHRHqfs7GxuueUWYmNjmTNnTrHl5s6dS//+/V2vw8LCXNuZmZn06dOH3r17s3btWrZv3058fDyhoaGMHTvWk+GLJ23cCFOmwIIF1rgmgF694I03IDLS1tBExH7nYT1+JRU4AOi3glQVHk2cnnjiCQDmzZtXYrm6desSERFR5HtvvPEGJ0+eZN68eQQHB9OhQwe2b9/OjBkzGDNmDA6Ho6LDFk9auRImT4ZPPz29r39/mDABLr8c1J4iAoQDlwBrgM+B4faGI+JSJS4fjx49mvDwcC655BJmz55NXt7pztmkpCR69uxJcIFb0fv168eBAwfYvXt3kcfLysoiMzPTtRw9etTTVZCSGGPN/v2nP1nJ0aefQrVqMHgwJCfDZ5/BFVcoaRIRN87rEJ/ZGoWIO9sTpyeffJJ3332XZcuWMWTIEMaOHcvTTz/tej89PZ3GjRu7fcb5Oj09vchjTp48mbCwMNcSowfC2iM3F956Czp3huuug2+/tQZ+jxwJP/4Ib79tvSciUoQ/56+XAqfsDESkgHInTgkJCUUO6C64rFu3rszHe/TRR4mNjaVz586MHTuWxMREpk6d6lbmzMtxzoHhxV2mmzBhAhkZGa5l69at5aylnLMff4QePaxHpGzcCLVqwYMPWo9QefllaN3a7ghFpIq7BGgAZACrbY5FxKncY5xGjx7NkCFDSiwTHR19tvHQvXt3MjMz+eWXX2jcuDERERGFepYOHjwIUKgnyik4ONjt0l5mZuZZxyPllJcHM2fC+PFw8iSEhcHYsTB6NNSrZ3d0IuJFAoArgA+A74DL7A1HBDiLxCk8PJzw8HBPxAJAcnIyNWrUcE1fEBsby8MPP0x2djZBQUEALFmyhMjIyHNK0MQD9uyxphFYvtx63acPvPoqNGtmb1wi4rUuwUqc1todiEg+j45x2rt3LykpKezdu5fc3FxSUlJISUnh2LFjAHz00Uf85z//YfPmzfz000+88sorPPLII9x5552uHqOhQ4cSHBxMfHw8mzdv5oMPPuDpp5/WHXVViTFWgtSxo5U01awJs2bB4sVKmkTknFySv1biJFWFR6cjePzxx5k/f77r9UUXXQTA8uXL6dWrF4GBgcyaNYsxY8aQl5dHq1atSExMZNSoUa7PhIWFsXTpUkaNGkXXrl2pV68eY8aMYcyYMZ4MXcoqPd0a7P3xx9brHj1g/nyNYRKRCtE1f/0zcBhrzJOInRzGD6bg3rdvH1FRUaSmptJMPSAV49dfYcYMeOEF62G8QUHw5JPWeKaAALujExEfEg3sAZYBV9kbilRRlfl3Xs+qk/L55RfrwbuzZsGJE9a+rl1PX6oTEalA32MlTQ6sBErEbkqcpGwOHICpU+Gll+CPP6x9XbvC449bczRpvJmIeMCk/PUtWI9hEbGbEicp3fz5cNddkJVlvb70Uith+vOflTCJiMdsA97L337UzkBEClDiJCUzxpqTKSsLYmMhIcGaZkAJk4h42ErAAL0ADQSQqkKJk5Tshx+sO+dq1IAvv7TWIiKVIH9QAI1sjULEne3PqpMqbtkya3355UqaRKRSncxfB5dYSqRyKXGSkjkTp6uvtjcOEfE7+aMq0X/ZpCrRpTopWm4ufPrp6cenXKXZU0Skcjl7nJQ4SVWixEnc/forzJkDs2dbz54DOP986NzZ1rBExP/kzxRHiK1RiLhT4iTWnXNr1sC//w0LFkB2trW/fn0YPhzuv1+zgYtIpTuav65taxQi7pQ4+bMTJ+Dtt62EacOG0/u7doVRo2DwYAjR//VExB5KnKQqUuLkj3butC7FvfoqHDli7QsOhiFD4J57oFs3e+MTEUGJk1RNSpz8SVYWDBtmXY5zio6Gv/3NuiQXHm5baCIiZ8rMXytxkqpEiZM/eeklK2lyOKB/f+tyXP/+Gr8kIlWSc6DAz7ZGIeJO8zj5i6NH4amnrO1Zs6ypBq69VkmTiFRZg/PXr2I9ekWkKlDi5C9mzLCmGjj/fLjjDrujEREp1SAgFNiO9dw6kapAiZM/+PVXmDbN2n7qKQgMtDceEZEyqA0Myd9+xc5ARApQ4uQPnn4ajh2DLl3g5pvtjkZEpMxG5K/fBTLsDEQknxInX5eTA/PmWdtPPQXV1OQi4j0uBVoCfwDrbI5FBJQ4+b5vvoHff4eGDaFPH7ujEREpFwcQlb99yM5ARPIpcfJ1ixZZ6+uu0x10IuKVnDPMHbY1ChGLEidfZgz873/W9vXX2xuLiMhZapC/VuIkVYESJ1+2eTPs3g01asDVV9sdjYjIWXH2OOlSnVQFSpx82YoV1rpXLwgNtTMSEZGz1ih/nWZrFCIWJU6+bNMma33xxfbGISJyDlrnr3fYGoWIRYmTL9u82Vp37GhvHCIi5+D8/PUO9OgVsZ8SJ19lzOnEqUMHe2MRETkHLYEA4Di6XCf2U+Lkq/butR7sGxgIbdvaHY2IyFkLAqLzt7fbGIcIKHHyXbt2WeuWLfVsOhHxeuflr3fZGoWIEiffdeKEta5Vy944REQqQJP89S+2RiGixMl3nTxprUNC7I1DRKQCNM5fK3ESu3k0cZo0aRI9evSgZs2a1K1bt9D78+bNw+FwFLkcPHgQgN27dxf5/ueff+7J0L2fM3GqUcPeOEREKoASJ6kqqnvy4NnZ2dxyyy3ExsYyZ86cQu8PHjyY/v37u+2Lj4/n5MmTNGrUyG3/smXLaN++vet1/fr1PRO0r1DiJCI+RImTVBUeTZyeeOIJwOpZKkpISAghBS4l/frrr3z55ZdFJlkNGjQgIiLCI3H6pKNHrXXNmvbGISJSAZrlr3/EmsvJYWMs4t+q1Bin//73v9SsWZObb7650HsDBw6kUaNGXHbZZbz33nslHicrK4vMzEzXctSZRPiTX/L/X6ZkU0R8QDcgGNiPpiQQe1WpxOnVV19l6NChbr1QtWrVYsaMGbz33nt8+umnXHXVVQwePJjXX3+92ONMnjyZsLAw1xITE1MZ4Vct6enWWomTiPiAEOCy/O1ldgYifq/ciVNCQkKxA7qdy7p168odSFJSElu3buWOO+5w2x8eHs4DDzxAt27d6Nq1K4mJidxzzz3885//LPZYEyZMICMjw7Vs3bq13PF4PfU4iYiPuTp/vdTWKMTflXuM0+jRoxkyZEiJZaKjo8sdyCuvvELnzp3p0qVLqWW7d+/OK6+8Uuz7wcHBBAcHu15nZmaWOx6vpx4nEfExfYCHgeXAKTw8SFekGOX+uQsPDyc8PLxCgzh27BjvvPMOkydPLlP55ORkmjRpUnpBf5WZCdu2WdtRUfbGIiJSQS4CwoAMYAvQyd5wxE95NGHfu3cvv/32G3v37iU3N5eUlBQAWrduTa0CM1ovWLCAU6dOcdtttxU6xvz58wkMDOSiiy6iWrVqfPTRRzz//PM888wzngzduy1YYM0c3ratHvArIj4jALgQ+AbYhBInsYdHE6fHH3+c+fPnu15fdNFFACxfvpxevXq59s+ZM4f/+7//o169ekUe56mnnmLPnj0EBATQpk0bXn31Vf7yl794MnTv5ryMOWIEOHTTroj4jo5YidNmuwMRv+Uwxhi7g/C0ffv2ERUVRWpqKs2aNSv9A95s82bo2BGqV4f9++GMiURFRLzZi8A9wLXAxzbHIlVHZf6dr1LTEUgFcE4eOmCAkiYR8Tkd89ebbI1C/JkSJ1/yyy/ul+lERHxM2/z1XiDHzkDEbylx8iWJiXDsGFxyCZzxDEAREV9Qu8D2H7ZFIf5MiZOv+PFHeOkla3vqVKimphUR3xPM6efUKXESO+ivq6944gnIzbXGNvXsaXc0IiIe4QBq5G+fsDMQ8VtKnHxBWhq8+661nZBgaygiIp5WM3+txEnsoMTJF/znP3DqFMTGwsUX2x2NiIhHheavlTiJHZQ4ebucnNNjm0aNsjcWEZFK4EycjtsahfgrJU7e7n//gwMHoGFDuPlmu6MREfE456U6JU5iByVO3m7uXGs9ciQEB9sbi4hIJVCPk9hJiZM3MwZWrbK2b7rJ3lhERCpJUP5aE2CKHZQ4ebOdO+H3362epo4dSy0uIuILnE+nz7U1CvFXSpy82dq11vqiiyAw0N5YREQqSUD++pStUYi/UuLkzZyJ0yWX2BuHiEglUo+T2EmJkzf75htrrcRJRPyIepzETkqcvFVKCqxfD9WrQ9++dkcjIlJpsvPXuo9Y7KDEyVs5J738v/+Dxo3tjUVEpBI5pyGoWWIpEc9Q4uSNjh6F11+3tu++295YREQqmfNRK0qcxA5KnLzRG2/AsWPQpg306mV3NCIilUqJk9hJiZO3OXUKnn/e2r77bnA47I1HRKSS/ZG/DiqxlIhnKHHyNi+9BD/8APXrw1//anc0IiKVLjp/vcXOIMRvKXHyJr/9Bo8/bm0nJkLduraGIyJih8vy19/aGoX4KyVO3uSJJ6zkqX17uOsuu6MREbGFEiexkxInb/HDD6fHNj33nDV/k4iIH+qev94NHLAxDvFPSpy8xYwZp7evvtq+OEREbFa7wHaKXUGI31K3hbfo2xdWr4ZWreyORETEdgOw7q672O5AxO8ocfIWt9xiLSIiwiK7AxC/pUt1IiIiImWkxElERESkjJQ4iYiIiJSRxxKn3bt3c8cdd9CyZUtCQkI477zzmDhxItnZ2W7l9u7dy4ABAwgNDSU8PJx77723UJlNmzbRs2dPQkJCaNq0KYmJiRhjPBW6iIiISJE8Njh827Zt5OXl8dJLL9G6dWs2b97MyJEjOX78ONOmTQMgNzeXa6+9loYNG7Jy5UoOHz7MsGHDMMYwc+ZMADIzM+nTpw+9e/dm7dq1bN++nfj4eEJDQxk7dqynwhcREREpxGEqsetm6tSpvPjii/z8888AfPbZZ1x33XWkpqYSGRkJwNtvv018fDwHDx6kTp06vPjii0yYMIFffvmF4OBgAKZMmcLMmTPZt28fjjI85Hbfvn1ERUWRmppKs2bNPFdBERERqXSV+Xe+Usc4ZWRkUL9+fdfrpKQkOnTo4EqaAPr160dWVhbr1693lenZs6craXKWOXDgALt376602EVEREQqbR6nn376iZkzZzJ9+nTXvvT0dBo3buxWrl69egQFBZGenu4qEx0d7VbG+Zn09HRatmxZ6LuysrLIyspyvc7IyAAgLS2tQuoiIiIiVYfz73tmZibGmDJdjTpb5U6cEhISeOKJJ0oss3btWrp27ep6feDAAfr3788tt9zCiBEj3MoWVbkzK31mGefVxeJOzOTJk4uMsVu3biXGLSIiIt6rffv2ZGRkUKdOHY99R7kTp9GjRzNkyJASyxTsITpw4AC9e/cmNjaWl19+2a1cREQEq1evdtt35MgRcnJyXL1KERERrt4np4MHDwIU6q1ymjBhAmPGjHG9/u2332jZsiWbN28mLCys5Ar6oaNHjxITE8PWrVupXbt26R/wQzpHJdP5KZnOT+l0jkqm81OyjIwMOnTowO7duz1+fsqdOIWHhxMeHl6msvv376d379506dKFuXPnUq2a+5Cq2NhYJk2aRFpaGk2aNAFgyZIlBAcH06VLF1eZhx9+mOzsbIKCglxlIiMjC13CcwoODnYbE+UUFRXl0SzUW2VmZgLQtGlTnZ9i6ByVTOenZDo/pdM5KpnOT8mc56RevXoevUwHHhwcfuDAAXr16kVUVBTTpk3j119/JT093a33qG/fvsTExBAXF0dycjJffPEFDz74ICNHjnSdhKFDhxIcHEx8fDybN2/mgw8+4Omnn2bMmDEePzkiIiIiBXlscPiSJUvYuXMnO3fuLHRroHOMUkBAAJ988gn33HMPl112GSEhIQwdOtQ1zxNAWFgYS5cuZdSoUXTt2pV69eoxZswYt0txIiIiIpXBY4lTfHw88fHxpZZr3rw5H3/8cYllOnbsyNdff33WsQQHBzNx4sQiL9+Jzk9Z6ByVTOenZDo/pdM5KpnOT8kq8/xU6gSYIiIiIt5MD/kVERERKSMlTiIiIiJlpMRJREREpIyUOImIiIiUkU8nTtHR0TgcjkLLqFGj7A6tSjh16hSPPvooLVu2JCQkhFatWpGYmEheXp7doVUZR48e5f7776dFixaEhITQo0cP1q5da3dYtvn6668ZMGAAkZGROBwOPvzwQ7f3jTEkJCQQGRlJSEgIvXr1YsuWLfYEa4PSzs/ChQvp168f4eHhOBwOUlJSbInTLiWdn5ycHP7xj3/QsWNHQkNDiYyM5Pbbb+fAgQP2BWyD0n6GEhISaNeuHaGhodSrV4+rr7660BM4fFlp56egu+66C4fDwXPPPVehMfh04rR27VrS0tJcy9KlSwG45ZZbbI6sanjmmWeYPXs2L7zwAj/88AP//Oc/mTp1KjNnzrQ7tCpjxIgRLF26lNdee41NmzbRt29frr76avbv3293aLY4fvw4nTp14oUXXijy/X/+85/MmDGDF154gbVr1xIREUGfPn04evRoJUdqj9LOz/Hjx7nsssuYMmVKJUdWNZR0fk6cOMGGDRt47LHH2LBhAwsXLmT79u0MHDjQhkjtU9rPUJs2bXjhhRfYtGkTK1euJDo6mr59+/Lrr79WcqT2KO38OH344YesXr2ayMjIig/C+JH77rvPnHfeeSYvL8/uUKqEa6+91gwfPtxt3//93/+Zv/zlLzZFVLWcOHHCBAQEmI8//thtf6dOncwjjzxiU1RVB2A++OAD1+u8vDwTERFhpkyZ4tp38uRJExYWZmbPnm1DhPY68/wUtGvXLgOY5OTkSo2pKinp/DitWbPGAGbPnj2VE1QVU5ZzlJGRYQCzbNmyygmqCinu/Ozbt880bdrUbN682bRo0cI8++yzFfq9Pt3jVFB2djavv/46w4cP16Na8v3pT3/iiy++YPv27QB8//33rFy5kmuuucbmyKqGU6dOkZubS40aNdz2h4SEsHLlSpuiqrp27dpFeno6ffv2de0LDg6mZ8+erFq1ysbIxFtlZGTgcDioW7eu3aFUSdnZ2bz88suEhYXRqVMnu8OpEvLy8oiLi2PcuHG0b9/eI9/hsZnDq5oPP/yQ33//vUyzmfuLf/zjH2RkZNCuXTsCAgLIzc1l0qRJ3HrrrXaHViXUrl2b2NhYnnzySS644AIaN27MW2+9xerVqzn//PPtDq/KcT6HsnHjxm77GzduzJ49e+wISbzYyZMnGT9+PEOHDtVDbc/w8ccfM2TIEE6cOEGTJk1YunQp4eHhdodVJTzzzDNUr16de++912Pf4Tc9TnPmzOHPf/6zZ653eqkFCxbw+uuv8+abb7Jhwwbmz5/PtGnTmD9/vt2hVRmvvfYaxhiaNm1KcHAwzz//PEOHDiUgIMDu0KqsM3t0jTHq5ZVyycnJYciQIeTl5TFr1iy7w6lyevfuTUpKCqtWraJ///4MGjSIgwcP2h2W7davX8+//vUv5s2b59HfOX6ROO3Zs4dly5YxYsQIu0OpUsaNG8f48eMZMmQIHTt2JC4ujgceeIDJkyfbHVqVcd555/HVV19x7NgxUlNTWbNmDTk5ObRs2dLu0KqciIgI4HTPk9PBgwcL9UKJFCcnJ4dBgwaxa9culi5dqt6mIoSGhtK6dWu6d+/OnDlzqF69OnPmzLE7LNt98803HDx4kObNm1O9enWqV6/Onj17GDt2LNHR0RX2PX6ROM2dO5dGjRpx7bXX2h1KlXLixAmqVXP/EQgICNB0BEUIDQ2lSZMmHDlyhMWLF3P99dfbHVKV07JlSyIiIlx3r4I1BuOrr76iR48eNkYm3sKZNO3YsYNly5bRoEEDu0PyCsYYsrKy7A7DdnFxcWzcuJGUlBTXEhkZybhx41i8eHGFfY/Pj3HKy8tj7ty5DBs2jOrVfb665TJgwAAmTZpE8+bNad++PcnJycyYMYPhw4fbHVqVsXjxYowxtG3blp07dzJu3Djatm3LX//6V7tDs8WxY8fYuXOn6/WuXbtISUmhfv36NG/enPvvv5+nn36a888/n/PPP5+nn36amjVrMnToUBujrjylnZ/ffvuNvXv3uuYm+vHHHwGrt87ZY+fLSjo/kZGR3HzzzWzYsIGPP/6Y3NxcV+9l/fr1CQoKsivsSlXSOWrQoAGTJk1i4MCBNGnShMOHDzNr1iz27dvnN9PslPZv7MxkOzAwkIiICNq2bVtxQVToPXpV0OLFiw1gfvzxR7tDqXIyMzPNfffdZ5o3b25q1KhhWrVqZR555BGTlZVld2hVxoIFC0yrVq1MUFCQiYiIMKNGjTK///673WHZZvny5QYotAwbNswYY01JMHHiRBMREWGCg4PNFVdcYTZt2mRv0JWotPMzd+7cIt+fOHGirXFXlpLOj3OKhqKW5cuX2x16pSnpHP3xxx/mxhtvNJGRkSYoKMg0adLEDBw40KxZs8busCtNaf/GzuSJ6QgcxhhTcWmYiIiIiO/yizFOIiIiIhVBiZOIiIhIGSlxEhERESkjJU4iIiIiZaTESURERKSMlDiJiIiIlJESJxEREZEyUuIkIiIiUkZKnERERETKSImTiIiISBkpcRIREREpIyVOIiIiImWkxElERESkjJQ4iYiIiJSREicRERGRMlLiJCIiIlJGSpxEREREykiJk4iIiEgZeV3i9OKLL3LhhRdSp04d6tSpQ2xsLJ999pnr/YULF9KvXz/Cw8NxOBykpKSU6bjvv/8+MTExBAcHExMTwwcffOChGpw9T9R93rx5OByOQsvJkyc9WJPyK6nuOTk5/OMf/6Bjx46EhoYSGRnJ7bffzoEDB0o9rre3+9nW3VvaHUr/uU9ISKBdu3aEhoZSr149rr76alavXl3qcb297eHs6u4tbV9a3Qu66667cDgcPPfcc6Ue1xvaHTxTf19p+/j4+EJ16N69e6nHrai297rEqVmzZkyZMoV169axbt06rrzySq6//nq2bNkCwPHjx7nsssuYMmVKmY+ZlJTE4MGDiYuL4/vvvycuLo5BgwaV6ZdvZfJE3QHq1KlDWlqa21KjRg1PVOGslVT3EydOsGHDBh577DE2bNjAwoUL2b59OwMHDizxmL7Q7mdbd/COdofSf+7btGnDCy+8wKZNm1i5ciXR0dH07duXX3/9tdhj+kLbw9nVHbyj7Uuru9OHH37I6tWriYyMLPWY3tLu4Jn6g++0ff/+/d3q8Omnn5Z4zApte+MD6tWrZ1555RW3fbt27TKASU5OLvXzgwYNMv3793fb169fPzNkyJCKDNMjzrXuc+fONWFhYZ4JzsOKqrvTmjVrDGD27NlT7Od9rd2dylJ3b253Y0quf0ZGhgHMsmXLiv28r7Z9WeruzW1/Zt337dtnmjZtajZv3mxatGhhnn322RI/783tbsy5199X2n7YsGHm+uuvL9fnK7Ltva7HqaDc3Fzefvttjh8/Tmxs7FkfJykpib59+7rt69evH6tWrTrXED2mouoOcOzYMVq0aEGzZs247rrrSE5OrqAoPaMsdc/IyMDhcFC3bt1ij+Or7V6WuoP3tTuUXv/s7GxefvllwsLC6NSpU7HH8cW2L2vdwfvavqi65+XlERcXx7hx42jfvn2ZjuON7Q4VV3/wjbYHWLFiBY0aNaJNmzaMHDmSgwcPlnicCm37cqdaVcDGjRtNaGioCQgIMGFhYeaTTz4pVKY8vS6BgYHmjTfecNv3xhtvmKCgoIoKucJUdN2TkpLMa6+9ZlJSUszXX39tbrrpJhMSEmK2b9/ugejPTVnqbowxf/zxh+nSpYu57bbbSjyer7W7MWWvuze1uzGl1/+jjz4yoaGhxuFwmMjISLNmzZoSj+dLbV/euntT25dU96efftr06dPH5OXlGWNMmXpcvKndjan4+vtK27/99tvm448/Nps2bTKLFi0ynTp1Mu3btzcnT54s9ngV2fZemThlZWWZHTt2mLVr15rx48eb8PBws2XLFrcy5U2c3nzzTbd9r7/+ugkODq7IsCtERdf9TLm5uaZTp07m73//ewVFXHHKUvfs7Gxz/fXXm4suushkZGSUeDxfa/fy1P1MVbndjSm9/seOHTM7duwwSUlJZvjw4SY6Otr88ssvxR7Pl9q+vHU/U1Vu++Lqvm7dOtO4cWOzf/9+V9myJk7e0u7GVHz9z+SNbV+UAwcOmMDAQPP+++8Xe7yKbHuvTJzOdNVVV5k777zTbV95koeoqCgzY8YMt30zZswwzZs3r8gwPeJc616UESNGFLoWXBWdWffs7Gxzww03mAsvvNAcOnSo1M/7UruXt+5F8ZZ2N6bon/uCWrdubZ5++uli3/eltj9TaXUvire0vbPuzz77rHE4HCYgIMC1AKZatWqmRYsWxX7em9vdmHOvf1G8re2L07p1azNlypRi36/ItvfqMU5OxhiysrLO+vOxsbEsXbrUbd+SJUvo0aPHuYbmceda96KOl5KSQpMmTSrsmJ5SsO45OTkMGjSIHTt2sGzZMho0aFDq532l3c+m7kUdz1vaHUr/uS/tfV9p+7N5v6jy3tL2zrrFxcWxceNGUlJSXEtkZCTjxo1j8eLFxX7em9sdzr3+RR3P29q+KIcPHyY1NbXEelRo25c71bLZhAkTzNdff2127dplNm7caB5++GFTrVo1s2TJEmOMMYcPHzbJycnmk08+MYB5++23TXJysklLS3MdIy4uzowfP971+ttvvzUBAQFmypQp5ocffjBTpkwx1atXN999912l168knqh7QkKC+fzzz81PP/1kkpOTzV//+ldTvXp1s3r16kqvX0lKqntOTo4ZOHCgadasmUlJSTFpaWmuJSsry3UMX2z3s627t7S7MSXX/9ixY2bChAkmKSnJ7N6926xfv97ccccdJjg42GzevNl1DF9s+7Otu7e0fWm/785U1KUqb213YzxTf19o+6NHj5qxY8eaVatWmV27dpnly5eb2NhY07RpU5OZmek6hifb3usSp+HDh5sWLVqYoKAg07BhQ3PVVVe5/SDNnTvXAIWWiRMnusr07NnTDBs2zO247777rmnbtq0JDAw07dq1K/FaqV08Uff777/fNG/e3HXMvn37mlWrVlVircqmpLo7L00WtSxfvtx1DF9s97Otu7e0uzEl1/+PP/4wN954o4mMjDRBQUGmSZMmZuDAgYUGSPti259t3b2l7Uv7fXemohIHb213YzxTf19o+xMnTpi+ffuahg0bmsDAQNO8eXMzbNgws3fvXrdjeLLtHcYYU/5+KhERERH/4xNjnEREREQqgxInERERkTJS4iQiIiJSRkqcRERERMpIiZOIiIhIGSlxEhERESkjv0icsrKySEhIqNAZtr2FP9cd/Lv+qrt/1h38u/6qu3/WHSqv/l4zj9OsWbOYOnUqaWlptG/fnueee47LL7+8TJ/NzMwkLCyMjIwM6tSp4+FIqxZ/rjv4d/1Vd/+sO/h3/VV3/6w7VF79vaLHacGCBdx///088sgjJCcnc/nll/PnP/+ZvXv32h2aiIiI+BGvSJxmzJjBHXfcwYgRI7jgggt47rnniIqK4sUXX7Q7NBEREfEj1e0OoDTZ2dmsX7+e8ePHu+3v27cvq1atKvIzWVlZbtc4f/vtNwBSU1MJCwvzXLBV0NGjRwHYv38/mZmZNkdT+fy5/qq7f9Yd/Lv+qrt/1j0vL4+ffvoJAI+PQDqrJ9xVov379xvAfPvtt277J02aZNq0aVPkZyZOnFjsg0+1aNGiRYsWLb67HDx40KN5SZXvcXJyOBxur40xhfY5TZgwgTFjxrhep6am0qFDB9asWUOTJk08GqeIiIhUrrS0NLp168aWLVsIDw/36HdV+cQpPDycgIAA0tPT3fYfPHiQxo0bF/mZ4OBggoODXa+dl+eaNGlCs2bNPBesiIiI2KZOnTrFdqpUlCo/ODwoKIguXbqwdOlSt/1Lly6lR48eNkUlIiIi/qjK9zgBjBkzhri4OLp27UpsbCwvv/wye/fu5e6777Y7NBEREfEjXpE4DR48mMOHD5OYmEhaWhodOnTg008/pUWLFnaHJiIiIn7EKxIngHvuuYd77rnH7jBERETEj1X5MU7i2w4ePMhdd91F8+bNCQ4OJiIign79+pGUlOQq43A4+PDDDyvk+3bv3o3D4SAlJaXEcitWrMDhcPD7778Xeq9z584kJCS4ypS0zJs3D4D333+fXr16ERYWRq1atbjwwgtJTEx0zTFWFgsXLqRPnz40bNiQOnXqEBsby+LFiwuVe//994mJiSE4OJiYmBg++OADt/cnT57MJZdcQu3atWnUqBE33HADP/74o+v9nJwc/vGPf9CxY0dCQ0OJjIzk9ttv58CBA6XGeOTIEeLi4ggLCyMsLIy4uLhC5/C+++6jS5cuBAcH07lz5zLX/6uvvqJLly7UqFGDVq1aMXv2bLf3t2zZwk033UR0dDQOh4Pnnnuu1GOePHmS+Ph4OnbsSPXq1bnhhhsKlUlLS2Po0KG0bduWatWqcf/995cp3qysLP7+978THh5OaGgoAwcOZN++fa73S/r5Wbt2bYnHLq2NwXpMVcuWLalRowZdunThm2++KVPcIlIyJU5iq5tuuonvv/+e+fPns337dhYtWkSvXr3KlVCUVXZ2doUer0ePHqSlpbmWQYMG0b9/f7d9gwcP5pFHHmHw4MFccsklfPbZZ2zevJnp06fz/fff89prr5X5+77++mv69OnDp59+yvr16+nduzcDBgwgOTnZVSYpKYnBgwcTFxfH999/T1xcHIMGDWL16tWuMl999RWjRo3iu+++Y+nSpZw6dYq+ffty/PhxAE6cOMGGDRt47LHH2LBhAwsXLmT79u0MHDiw1BiHDh1KSkoKn3/+OZ9//jkpKSnExcW5lTHGMHz4cAYPHlzmuu/atYtrrrmGyy+/nOTkZB5++GHuvfde3n//fVeZEydO0KpVK6ZMmUJERESZjpubm0tISAj33nsvV199dZFlsrKyaNiwIY888gidOnUqc8z3338/H3zwAW+//TYrV67k2LFjXHfddeTm5gKFf37S0tIYMWIE0dHRdO3atdjjlqWN9ZgqEQ/y6CxRVURqaqoBTGpqqt2hSAFHjhwxgFmxYkWxZVq0aOE2sVmLFi2MMcbs3LnTDBw40DRq1MiEhoaarl27mqVLlxb67JNPPmmGDRtm6tSpY26//fZCE6X17NmzyO9dvny5AcyRI0cKvdepUyczceLEQvuHDRtmrr/+erd9q1evNoB57rnnij0H5yImJsY88cQTrteDBg0y/fv3dyvTr18/M2TIkGKPcfDgQQOYr776qtgya9asMYDZs2dPsWW2bt1qAPPdd9+59iUlJRnAbNu2rVD5iRMnmk6dOhV7vIIeeugh065dO7d9d911l+nevXuR5Vu0aGGeffbZMh3bqaj2O1PPnj3NfffdV+qxfv/9dxMYGGjefvtt1779+/ebatWqmc8//7zIz2RnZ5tGjRqZxMTEEo9dljbu1q2bufvuu93KtGvXzowfP77U2EW8UWX+nVePk9imVq1a1KpViw8//NDtETkFOS9ZzJ07l7S0NNfrY8eOcc0117Bs2TKSk5Pp168fAwYMKPQ/6qlTp9KhQwfWr1/PY489xpo1awBYtmwZaWlpLFy40IM1hDfeeINatWoVOz6vbt26wOlLiCtWrCjzsfPy8jh69Cj169d37UtKSqJv375u5fr161fs44kAMjIyANyOU1QZh8PhircoSUlJhIWFcemll7r2de/enbCwsBK/vyyKq9e6devIyck5p2NXBOdlt927dwOwfv16cnJy3GKOjIykQ4cOxZ6LRYsWcejQIeLj4932R0dHk5CQ4HpdWhs7H1N1ZpmSHlMlImWnxElsU716debNm8f8+fOpW7cul112GQ8//DAbN250lWnYsCFgJRgRERGu1506deKuu+6iY8eOnH/++Tz11FO0atWKRYsWuX3HlVdeyYMPPkjr1q1p3bq16/MNGjQgIiKixGShIuzYsYNWrVoRGBhYYrnAwEDatm1LzZo1y3zs6dOnc/z4cQYNGuTal56eXmhi2MaNGxeaQNbJGMOYMWP405/+RIcOHYosc/LkScaPH8/QoUOpU6dOsfGkp6fTqFGjQvsbNWpU7PeXVXH1OnXqFIcOHTqnY1eEmjVr0rZtW1c7p6enExQURL169dzKldQWc+bMoV+/fkRFRbntP++889xmQi6tjQ8dOkRubm65fg5EpOyUOImtbrrpJg4cOMCiRYvo168fK1as4OKLL3YNqi7O8ePHeeihh4iJiaFu3brUqlWLbdu2FepxKmmsSGUwJTwaqKCmTZuybds2unXrVqbjvvXWWyQkJLBgwYJCyUp5Hk80evRoNm7cyFtvvVXk+zk5OQwZMoS8vDxmzZrl2n/33Xe7egxr1apV7HeX9v1FKXjcgnO1FVWv4r6zsnXr1o1t27bRtGnTEssVdy727dvH4sWLueOOOwq998UXXzB69Gi3fWVp4/L8HIhI2XnNdATiu2rUqEGfPn3o06cPjz/+OCNGjGDixImFLlkUNG7cOBYvXsy0adNo3bo1ISEh3HzzzYUGgIeGhp5VTM6elYyMjEKXp37//XfXY3xK06ZNG1auXElOTk6pvU5ltWDBAu644w7efffdQgOaIyIiyvx4or///e8sWrSIr7/+ushHEeXk5DBo0CB27drFl19+6dbblJiYyIMPPljou3/55ZdCx/n111+LfTxSUQre8ej8zuLqVb16dRo0aFDmY1eWiIgIsrOzOXLkiFuv08GDB4t84sHcuXNp0KBBmQbgl9bGZ/OYKhEpO/U4SZUTExPjusMLrMtYzjuRnL755hvi4+O58cYb6dixIxEREa7xJSUJCgoCKHS8M51//vlUq1at0G3haWlp7N+/n7Zt25apLkOHDuXYsWNuvTUFFTXdQUneeust4uPjefPNN7n22msLvR8bG1vo8URLlixx+2NtjGH06NEsXLiQL7/8kpYtWxY6jjNp2rFjB8uWLSuUnDRq1Mh1+bN169au787IyHCNIwNYvXo1GRkZ5Xo8UsHjOnvTiqtX165dKywhrUhdunQhMDDQLea0tDQ2b95c6FwYY5g7dy633357mepSWhvrMVUiHubx4edVgO6qq5oOHTpkevfubV577TXz/fffm59//tm88847pnHjxmb48OGucueff77529/+ZtLS0sxvv/1mjDHmhhtuMJ07dzbJyckmJSXFDBgwwNSuXdvtjqei7qzKyckxISEh5qmnnjLp6enm999/Lza+v/3tb6Z58+bmgw8+MD///LNZuXKl6dmzp+nYsaPJyckpVL64u7IeeughExAQYMaNG2dWrVpldu/ebZYtW2Zuvvlm1912+/btM23btjWrV68uNp4333zTVK9e3fz73/82aWlprqVgHb799lsTEBBgpkyZYn744QczZcoUU716dbc73f72t7+ZsLAws2LFCrfjnDhxwnWOBg4caJo1a2ZSUlLcymRlZRUbnzHG9O/f31x44YUmKSnJJCUlmY4dO5rrrrvOrcyOHTtMcnKyueuuu0ybNm1McnKySU5OLvHYP//8s6lZs6Z54IEHzNatW82cOXNMYGCgee+991xlsrKyXMdq0qSJefDBB01ycrLZsWNHiTFv2bLFJCcnmwEDBphevXq5jlGQc1+XLl3M0KFDTXJystmyZYvr/dWrV5u2bduaffv2ufbdfffdplmzZmbZsmVmw4YN5sorrzSdOnUyp06dcjv2smXLDGC2bt1aZHxXXnmlmTlzput1Wdr47bffNoGBgWbOnDlm69at5v777zehoaFm9+7dJZ4LEW9VmX/nlTiJbU6ePGnGjx9vLr74YhMWFmZq1qxp2rZtax599FHXH3FjjFm0aJFp3bq1qV69ums6gl27dpnevXubkJAQExUVZV544YVCt4oXd0v6f/7zHxMVFWWqVatW7HQEzvgSExPNBRdcYEJCQkyLFi1MfHy8SUtLK7J8SbezL1iwwFxxxRWmdu3aJjQ01Fx44YUmMTHRNR3Brl27DGCWL19ebDw9e/YsNJ0CYIYNG+ZW7t133zVt27Y1gYGBpl27dub99993e7+oYwBm7ty5brEUtZQUnzHGHD582Nx2222mdu3apnbt2ua2224rNOVCcfXYtWtXicdesWKFueiii0xQUJCJjo42L774otv7xcVdUhsbU3jKC+dS2jlz/iwac3r6ioJ1+OOPP8zo0aNN/fr1TUhIiLnuuuvM3r17C33/rbfeanr06FFifGdOf1FaGxtjzL///W/TokULExQUZC6++OISp5sQ8XaV+XfeYUz+CEsftm/fPqKiokhNTS1yLIeIiIh4r8r8O68xTiIiIiJlpMRJREREpIyUOImIiIiUkRInERERkTJS4iQiIiJSRkqcRERERMpIiZOIiIhIGSlxEhERESkjJU4iIiIiZaTESURERKSMlDiJiIiIlJESJxEREZEyUuIkIiIiUkZKnERERETKSImTiIiISBkpcRIREREpIyVOIiIiImWkxElERESkjJQ4iYiIiJRRdbsDEPFlJ4EvgQCgn82xVIo//oAVK6BaNejnFzUWET9jW4/T7t27ueOOO2jZsiUhISGcd955TJw4kezsbLdyDoej0DJ79mybohYpn0PAtcB1dgdSWQ4ehGuugRtusDsSERGPsK3Hadu2beTl5fHSSy/RunVrNm/ezMiRIzl+/DjTpk1zKzt37lz69+/veh0WFlbZ4YqcFZO/9ptr4tXya2pMyeVERLyUbYlT//793ZKhVq1a8eOPP/Liiy8WSpzq1q1LREREZYcocs6c6YPD1igqkSO/pnl59sYhIuIhVeo/whkZGdSvX7/Q/tGjRxMeHs4ll1zC7NmzySvll3JWVhaZmZmu5ejRo54KWaREfps4qcdJRHxUlRkc/tNPPzFz5kymT5/utv/JJ5/kqquuIiQkhC+++IKxY8dy6NAhHn300WKPNXnyZJ544glPhyxSqtz8dZX6H4on5ebXOCDA3jhERDzEYUzF/tcwISGh1KRl7dq1dO3a1fX6wIED9OzZk549e/LKK6+U+Nnp06eTmJhIRkZGsWWysrLIyspyvd6/fz8xMTGkpqbSrFmzMtZE5NxtB9oCYcDv9oZSObZtgwsugLp14cgRu6MRET+xb98+oqKiKuXvfIX3OI0ePZohQ4aUWCY6Otq1feDAAXr37k1sbCwvv/xyqcfv3r07mZmZ/PLLLzRu3LjIMsHBwQQHB7teZ2Zmli14kQqWk7+uMl27nvbHH9a6Zk174xAR8ZAK/30eHh5OeHh4mcru37+f3r1706VLF+bOnUu1aqVf0EhOTqZGjRrUrVv3HCMV8TznpTq/uXDlTJxq1LA3DhERD7HtP8IHDhygV69eNG/enGnTpvHrr7+63nPeQffRRx+Rnp5ObGwsISEhLF++nEceeYQ777zTrUdJpKrzu8HhIiI+yrbEacmSJezcuZOdO3cWuh7pHHYVGBjIrFmzGDNmDHl5ebRq1YrExERGjRplR8giUhrdVSciPs62xCk+Pp74+PgSy5w515OIVHGax0lEfJzf3CUtIpVAM4eLiI9T4iQiFUeX6kTExylxEvEgvxsq7UyYNEhcRHyUEicRqTjOxKkMU4uIiHgj/XYTqQR+c+HKOShcPU4i4qOUOIlUAr9JI3SpTkR8nBInEak4ulQnIj5Ov91EPMhvLtE5OS/VKXESER+l324ilcBvLlxpjJOI+DglTiJScTTGSUR8nBInkUrgN5fsnD1OAQH2xiEi4iFKnEQ8yNnv4neJk3qcRMRHKXES8SC/S5x0V52I+Dj9dhPxIOc/sDxbo6hE6nESER+nxEnEg/wuccrNtdYa4yQiPkqJk4gH+V3ipMHhIuLjlDiJeJAzfci1NYpK5Oxx0hgnEfFR+u0m4kHqcRIR8S1KnEQ8yDlE2m8SJ+M39w+KiJ9S4iTiQY4z1j7PeYkuz29SRRHxM0qcRKTiOC/RKXESER+lxElEKo6zxynXb4bDi4ifUeIkUgn8ZuSPJr4UER+nxEnEg/zukSsiIj5OiZOIB/nddAS6q05EfJwSJxEPqp6/9psRP85B4ZoAU0R8lH67iXhQUP46Dz9JnvSsOhHxcUqcRDwoqMB2tm1RVCIlTiLi45Q4iXiQ3yZO1auXXE5ExEspcRLxoMAC21m2RVGJTp2y1upxEhEfZWviFB0djcPhcFvGjx/vVmbv3r0MGDCA0NBQwsPDuffee8nO9ov/u4sPcHB6gPgpOwOpLM7EST1OIuKjbP/tlpiYyMiRI12va9Wq5drOzc3l2muvpWHDhqxcuZLDhw8zbNgwjDHMnDnTjnBFyq06VtLkF4lTTo61DgoquZyIiJeyPXGqXbs2ERERRb63ZMkStm7dSmpqKpGRkQBMnz6d+Ph4Jk2aRJ06dSozVJGz4rxo5ReJk7M3ODCw5HIiIl7K9jFOzzzzDA0aNKBz585MmjTJ7TJcUlISHTp0cCVNAP369SMrK4v169fbEa5IuTlTiBxbo6gkuqtORHycrT1O9913HxdffDH16tVjzZo1TJgwgV27dvHKK68AkJ6eTuPGjd0+U69ePYKCgkhPTy/2uFlZWWRlnR6Ke/ToUc9UQKQMnBet/GJknnNskx7yKyI+qsJ7nBISEgoN+D5zWbduHQAPPPAAPXv25MILL2TEiBHMnj2bOXPmcPjwYdfxHEU8NNQYU+R+p8mTJxMWFuZaYmJiKrqaImXml4nTKb+4MCkifqjCe5xGjx7NkCFDSiwTHR1d5P7u3bsDsHPnTho0aEBERASrV692K3PkyBFycnIK9UQVNGHCBMaMGeN6vX//fiVPYpvg/LVfTEegxElEfFyFJ07h4eGEh4ef1WeTk5MBaNKkCQCxsbFMmjSJtLQ0174lS5YQHBxMly5dij1OcHAwwcHBrteZmZlnFY9IRVCPk4iI77BtjFNSUhLfffcdvXv3JiwsjLVr1/LAAw8wcOBAmjdvDkDfvn2JiYkhLi6OqVOn8ttvv/Hggw8ycuRI3VEnXqNG/voPW6OoJMa4r0VEfIxtiVNwcDALFizgiSeeICsrixYtWjBy5EgeeughV5mAgAA++eQT7rnnHi677DJCQkIYOnQo06ZNsytskXILzV8ftzWKSnLsmLUuMB+biIgvsS1xuvjii/nuu+9KLde8eXM+/vjjSohIxDOcKYRfJU61a9sbh4iIh9g+j5OIr3OmEBm2RlFJfvvNWutSuoj4KCVOIh7WLH+919YoKsmGDdZad7GKiI9S4iTiYS3z1z/bGkUlMAbWrLG2L73U3lhERDxEiZOIh7XKX++yNYpKsGMHHDkCNWrAhRfaHY2IiEcocRLxMGeP00/AauBXwCdv1v/qK2t98cV6yK+I+Cxbn1Un4g9aYv0P5SjQPX9fbayeqPPOWLcCWnD6wcBV3k8/wbvvwjvvQP4EtnTvXvJnRES8mBInEQ8LAZ4H3sHqddqPlUR9n7+cqRrQnMJJlXNd1+MRl6KoZAkgIACuvhr+/nf7YhMR8TAlTiKVYFT+AnASa7zTz1iJVMH1z/nv785fvijiWPUpOqE6D2gKBHiiAiUlS1deCYMGwQ03wFk+bklExFsocRKpZDWAC/KXM+UB6RROqJzrg8Bv+cu6Ij4fBERT+PKfczu0iM8Uq7Rk6ZZb4MYblSyJiF9R4iRShVQDIvOXy4t4///Zu+/wKKr9j+PvJSRLaAkQIARCE0EDqAhyCRZApXhRrAiiSH4INrCBXkVRilJERL14lesVgasoNvCiqBTFgkZqohQVUUoooZtQJAnJ/P6Y3YWQtoFszpbP63nmObO7s5PP7AL5cubMmcOc6Jk6tajagn0j4Y2upTB1KVhU1ceea6o+UC0zE155RcWSiEgRVDiJBJCqwHmu5VS5wHaK7q06COx2LclF7L9aWBgNevWiftu21N+5kwYVK1K/USPqn3ceDapXpz5QG12OKyKhS4WTSJAIw74irxFweSGvH6TgeKrN2IPVdwCZwKEqVfg5IYGfi5n5Oxyox4leqvqFrMcBzrI4KBERP6PCSSRE1ADaupYC3nqLQ/fcw4769dkxYwY7EhPZzomiagd2b9ZuIAf79jEl3UImhvwFVWEFVvQZHpOISHlT4SQSqrZsgU8/hQULYPFiquXkcM7NN3NOYmKRb8nBHrxeWFF18uNjwD7XklpMhIbAJSctLdFpQBHxbyqcREJFdjZ8992JYunnn/O/fuONMGpUsbsIB+JdS1Es7Kv+iiqq3I8PYPdave1awO6B6og9MP4SoB32VYgiIv5ChZNIMNu1Cz77zC6WFi2CQ4dOvBYWBhdfDH//O/TsCS1bgsNxxj/SAdRyLcXdse4QsAJY5lqSgT+BT10L2NMrXMSJHqmO2PNYiYiYosJJJJjk5sLKlXaP0qefwpo1+V+vUweuusoulrp1g+hoIzHBvu3MFa4F4Dj2TOrLgG9d7W7gO9fyrGu7luQ/vdcIu1gTESkPKpxEAt2BA7BwoV0sff457N9/4jWHAy66yC6U/v53aNsWKvjnKKKKnBi8/gD2Kb/fOdEjtQz4FVjvWv7tel8D8hdSrfDR7OkiIqhwEglsr78O99wDx4+feC46Grp3twulHj3sXqYA5ACauZYk13N7sXuf3IXUauwxU3NcC9g9UG9jn9YTESlrKpxEAtXChXD33fbpuVat4Oqr7WIpMREqBudf7drAda4F4Cgnxkl9C3wPbAU6AZOAB9FpPBEpW8H5r6tIsNuwwb6xbm4uJCXBG2+UycDuQFMZ6OxawB5wfid279Mw7ILqDSDKQDYRCU7+OdhBRIqWkWH3LmVmwqWXwr//HZJFU2GqYZ+mexl76oS52FMapBT3JhGRUlDhJBJovv0WNm+2xy7NnQsREaYT+RUHMAS7t6khsAn4GzAFyDOYS0SCgwonkUATE2O3EREn1qWA9sAa7PFQOcBw4O/YM5+LiJwuFU4igeass+x2xw44dsxsFj9XC/t03avYM5AvBM7nxASbIiKlpcJJJNDExEDVqmBZsHWr6TR+zwHcjT11QWtgD9AT+4o7lZ0iUloqnEQCUbzrbnG//242RwBJwJ664H7X45ewxz6lGUskIoFIhZNIINm8GXr1OnGD3iNHzOYJMJWwC6ZPgBjgJ2Ag9izlIiLeUOEkEgiysuCZZyAhAT75BMLD4fHH4frrTScLSD2xZyCvBCwB3jQbR0QCiAonEX+3eDGcdx48+aQ9GPzyy+Gnn2DcuKCdIbw8NAeecq0Pw76di4hISVQ4ifirX36Ba66Bbt1g40aIjYV33oElS+Ccc0ynCwoPA+cB+4F70Ck7ESmZscLpq6++wuFwFLqsXLnSs11hr0+bNs1UbBHf27cPhg617z/3ySd2r9IDD9iFVN++miW8DIUD07HvPfWha11EpDjG+vk7duzIrl278j335JNPsmTJEtq1a5fv+RkzZtCjRw/P46go3XlKglBWFkydao9lysiwn+vVCyZNghYtzGYLYu2AZ4DHgAeASwD154lIUYwVThEREcTGxnoe5+TkMH/+fIYOHYrjlP9RR0dH59tWJKhYFnzwATz6qH3VHMAFF8CUKdCli9FooeIRYDHwBXAL8APgNJpIRPyV34xxmj9/Pvv27SMpKanAa0OHDiUmJoaLLrqIadOmkZenO05JkFi5Ei65BG6+2S6a4uJgxgxYtUpFUzmqAPwXe6bxVOxCKtdkIBHxW35zSc706dPp3r078e6J/VyefvpprrjiCiIjI/niiy8YPnw4+/btY+TIkUXuKysri6ysLM/jQ4cO+Sy3yGk7dAguu8y+Ui48HJ54Ah5+GKpUMZ0sJMUBM4BewFTgfeB64EagE370j6WIGFXmPU6jR48uctC3e1m1alW+92zfvp2FCxdyxx13FNjfyJEjSUxM5IILLmD48OGMHTuW5557rtgMEyZMICoqyrMkJCSU6TGKlInKlaFzZ3s9JwfS0yEszGikUHcN8BwQhX0z4FeBK4FYYBDwOZBtLJ2I+AOHZVllegXuvn372LdvX7HbNG7cmEqVKnkeP/3000ydOpUdO3YQHh5e7Hu/++47LrnkEtLT06lbt26h25za47Rjxw4SEhJIS0ujQYMGpTgaER/LzYXRo+05mSwLLrwQ3n8fmjY1nSykZQNfYl9pNw97ugK3KOxeqRuBbkBkuacTkVNt376d+Pj4cvk9X+a9zzExMcTExHi9vWVZzJgxg9tvv73EogkgJSWFSpUqER0dXeQ2TqcTp/PE0M7MzEyv84iUq7AwePppuPhiuO02WLPGLp5mzNCs4AZFAD1cy6vAN8AH2EVUOvZM428CVbFnIb8R+Dugk6wiwc/44PAvv/ySzZs3F3qa7uOPP+Y///kP69at4/fff+f111/niSee4M4778xXGIkEvB49ICUFOna0pyK44QYYNsw+hSdGVQQuB14BtgPfYk9b0AA4DLwL3AzUBm4A3gaOGUkqIuXBeOE0ffp0OnbsyLnnnlvgtfDwcF555RUSExM577zzeOmllxg7dizPP/+8gaQiPnbsmN3L5P5PwQsvwKuvms0k+YRhz/P0IrAVe9qCR4CmwF/YPVK3Aq2xT/WJSPAp8zFO/qg8z32KeO3YMfjmG/j0U1iwADZtyv9606b2LVbatzeTT7xmYU9j8CHwBuCe2ncAMBnwfvCCiJyOgB7jJCLF2LYNPvvMLpS++AKOHj3xWsWK9vQEf/+7vZxzjm6vEiAcQBvX8gjwOPbYqFnAAuAF7J4ofZsigU+Fk4ivWZZdKD3zDCxfnv+1evVOFEpXXgnVq5vJKGUmCvgXcBtwJ7AO6A/8G3gUexC58TESInLaVDiJ+Ipl2b1Lo0fbM4QDVKgAHTqcKJYuuEC9SkEqEVgNPA+MAZa5lnOB4dg9UJWKfLeI+Cv9x0ekrFkWLFwIiYnQs6ddNEVGwiOPwM6d8N139izhbdqoaApyEcAIYBP2KbzqwM/Yk2k2BsYDB0yFE5HTosJJpKxYFixebM/J1KOHfVouMtKeVmDzZpg0CYqYtFWCWwNgErANe7B4A2A38AQQD9wPbDaWTkRKQ4WTyJmyLHug92WXQbdukJwMlSrBgw/CH3/A88+rYBLAHv80HPgDewLN84Gj2PfGawb0AVYaSyci3lDhJHKm7rjDHti9bJk9B9P999sF0wsvQGys6XTih8KxB4+nAIuB7kAe8B7QHugCfGUqnIgUS4WTyJlascJu69a152J66SX7ajmREjiwbyL8OfAjcDv2FTtfYRdPKqBE/I8KJ5Ez9dprEB4Ou3fDrFmm00iAOg973qc/gHuxB5Z/hQooEX+jwknkTHXsCP/6l73+5JP2nE0ipykeex6oTRQsoDoDP5kKJiKACieRsjF4MNxzjz1QfNgwuxU5A4UVUF8DlwLfGcwlEupUOImUlUmT7OkHNm6ENWtMp5EgcXIBdSmQCXTDHlQuIuVPhZNIWalaFa6+2l5/5x2zWSToxGMPIu+BPYXB1cBHJgOJhCgVTiJl6ZZb7PbddyEvz2wWCTqVgf8BNwLZwE3AW0YTiYQeFU4iZemqq+wb9W7fbs/rJFLGIoA5QBKQiz2FwT8BjaoTKR8qnETKktMJTZva66mpRqNI8KoITAfuwy6YHgCuAH4zGUokRKhwEilLM2faBVNk5InxTiI+UAF4CXgeiASWAq2Bcdin8UTEN1Q4iZSV3bth+HB7fcyYEz1PIj7iAIYB67CvtMsCRgIXAskGc4kEMxVOImVl1Cg4eBDatIGHHjKdRkJIU+wr7t4CYoD1wCVoygIRX1DhJFIWjh07MQXB889DxYpm80jIcQC3Ar8A12PfNLg/sMdkKJEgpMJJpCwsWACZmdCwIXTqZDqNhLBawGygJbAb+D90xZ1IWVLhJFIWZs+221tugQr6ayVmRQLvAE7gU+zpCkSkbOhfeJEz9eefJ27se+utRqOIuLXGvuIO4B9AqrkoIkFFhZPImTh8GO69F7KzoVUraN3adCIRj3uBXtjTE9xrOItIsFDhJHK6fvwR2rWzB4VXqAAjR5pOJJKPA3teJ4CfTQYRCSIqnERKy7LglVfgb3+DX3+F+vXhyy+hTx/TyUQKqOFqD6NB4iJlQddMi5TGwYMwaBDMnWs/vvpqmDEDYmLM5hIpQlVXexz7lJ3TYBaRYKAeJxFvJSfbk1vOnQvh4fDCCzB/voom8WtVTlo/bCyFSPBQj5OIN7Zvhy5dICsLzjoL5syxxzeJ+LmKQCXgGPa8TrXMxhEJeOpxEvHGmjV20dSsmb2uokkCSEdX+5zRFCLBQYWTiDcyM+22SROoXt1sFpFSGu9qZwE/mQwiEgR8WjiNGzeOjh07UrlyZaKjowvdZtu2bVxzzTVUqVKFmJgY7r//frKzs/Nts3btWjp16kRkZCT169dn7NixWJauD5FylJFhtyqaJAD9DbgZ+6q6B4Eco2lEAptPC6fs7Gx69+7NPffcU+jrubm59OzZkyNHjrBs2TLmzJnDhx9+yPDhwz3bZGZm0rVrV+Li4li5ciVTp05l8uTJTJkyxZfRRfL780+7jYoyGkPkdI3HvqJuKXAj9pgnESk9nw4OHzNmDAAzZ84s9PVFixaxYcMG0tLSiIuLA+D5558nKSmJcePGUb16dWbPns2xY8eYOXMmTqeTVq1asXHjRqZMmcKwYcNwOBy+PAQR2759dltLQ2slMJ0FzANuAD4GrgY+4sR0BSLiHaNjnJKTk2nVqpWnaALo3r07WVlZrF692rNNp06dcDqd+bbZuXMnW7ZsKe/IEqr277dbTT0gAewq4DPsYukLoBvwp8lAIgHIaOGUnp5O3bp18z1Xo0YNIiIiSE9PL3Ib92P3NqfKysoiMzPTsxw6dMgH6SWkuAsn9ThJgOsMLMGeUTwZuBzYazKQSIApdeE0evRoHA5HscuqVau83l9hp9osy8r3/KnbuAeGF3WabsKECURFRXmWhIQEr/OIFEqn6iSI/A34CqgDpACXAZtNBhIJIKUe4zR06FD69u1b7DaNGzf2al+xsbEsX74833MHDx4kJyfH06sUGxtboGdpz549AAV6otxGjBjBsGHDPI937Nih4knOTFXXSJCPP4brrjMaRaQsnAd8A1wJ/AJcBLyH3QMlIkUrdeEUExNDTBmN80hMTGTcuHHs2rWLevXqAfaAcafTSdu2bT3bPP7442RnZxMREeHZJi4ursgCzel05hsTlemeg0fkdI0ZA0uXwhtv2Dfz7dbNdCKRM9YC+3Td9cAq7DFPU4D7AF12I1I4n45x2rZtG6mpqWzbto3c3FxSU1NJTU3l8GH7jkndunUjISGB/v37k5KSwhdffMHDDz/M4MGDqe6aL6dfv344nU6SkpJYt24d8+bNY/z48bqiTsrXJZfAfffZ64MHg8bNSZBogN3z1B/IBR4ABqLpCkSKZPnQgAEDLOw51/ItS5cu9WyzdetWq2fPnlZkZKRVs2ZNa+jQodaxY8fy7eenn36yLr30UsvpdFqxsbHW6NGjrby8PK9zpKWlWYCVlpZWVocmoejwYctq0sSywLLuvdd0GpEylWdZ1hTLsipYloVlWX+zLGuH0UQi3ivP3/MOywr+Kbi3b99OfHw8aWlpNGjQwHQcCWRz58KNN9rr330HHTsWv71IgFmCPcv4QSAW+BpobjSRSMnK8/e87lUn4o3Vq+GOO+C22048t26duTwiPnIlsBJoCaQD48zGEfE7KpxEivLXXzBrFvztb9CunT0w/K+/4LzzYNo0GDTIdEIRnzgLmO5afw+790lEbD695YpIQDp0CMaOtQulAwfs5yIi4Kab4N577dNzujBBglx74HzgR+BN4H6zcUT8hgonkVM99BBMd/1/u1EjuPtuGDgQ6tQxm0ukHDmAO4EhwGtoigIRN52qEzlZTg58+KG9/p//wO+/w2OPqWiSkHQrEAmsB5aXsK1IqFDhJHKy776DP/+0b63yf/8HYWGmE4kYEwX0dq2/bjKIiB9R4SRysvnz7fbqq1U0iQDuSyDmAJr2VUSFk8gJlnWicOrVy2wWET9xCfY8TkeAdw1nEfEHKpxE3F5+2R7TFBGhe9GJuDg40es0BthuMIuIP1DhJAIwYwbc77rg+sknoWpVs3lE/Mid2DcE3g5cBfxpNI2IWSqcRN5//8Rklg8+CE88YTSOiL+JAj7HvgXLOuB6IMtoIhFzVDhJaFuwAPr1g7w8u3iaMkWTW4oUojHwGVAN+AoYAOQZzCNiigonCV1Ll9o37D1+HG65xb6NioomkSJdAMwDwrEHij9sNI2IGSqcJDT9+Sf07g1ZWfYVdLNmafoBES9cAcxwrb/AiXvaiYQKFU4SmiZMgP374dxz4d13ITzcdCKRgHEr8LRrfQiQYjCLSHlT4SShZ+tWeOkle33SJKhUyWwekQD0OHA19iDxm9CVdhI6VDhJ6JkwwT5F16kT9OxpOo1IQKoA/Bd70PgfQB90pZ2EBhVOEnoqVrTbLVvssU4iclpqAB9i3wh4EXAjKp4k+KlwktAzfjycdZZ9yu6OO+xbrYjIabkQ+ASoBCzAvilwttFEIr6lwklCT/XqJwaEz5sH//qX6UQiAe1y4GPs4ulj7NN2OUYTifiOCicJTW3bwuTJ9vrw4bBmjdk8IgHuSuB/gBP4COiLiicJTiqcJHTddx9cey1kZ9sTYObmmk4kEtC6YRdNEcBcIAnQiXAJNiqcJHQ5HPDGGxAVBRs3wooVphOJBLwe2EVTReBtYLzZOCJlToWThLaaNaF7d3v900/NZhEJEj0B98jBkdi3aREJFiqcRNxzOS1YYDaHSBC5E7jPtd4f+NFgFpGypMJJpEcP+7RdSgrs3Gk6jUjQmII9aPwI0AvYYzaOSJlQ4SRSpw5ccIG9vnCh0SgiwaQi8B5wNrANe46nPKOJRM6cCieRL7+En36y16tWNZtFJMjUwJ7bqSrwDfC62TgiZ0yFk4S2rVuhTx97KoLbb4ebbjKdSCTotACeca0/Cuw2mEXkTKlwktD1119www2wbx9ceCFMm2aPdRKRMjcE+/YsfwLDzUYROSMqnCQ0WRbceac9Y3hMDMydC5GRplOJBK2KwDTAAcwGlpiNI3LafFo4jRs3jo4dO1K5cmWio6MLvP7jjz9yyy23EB8fT2RkJOeeey4vvfRSvm22bNmCw+EosHz++ee+jC7B7q237CUsDN57Dxo1Mp1IJOhdhN3zBPZ0BbqGVQJRRV/uPDs7m969e5OYmMj06dMLvL569Wpq167NW2+9RXx8PN9//z133nknYWFhDB06NN+2S5YsoWXLlp7HNWvW9GV0CXZ799pto0Zw2WVms4iEkGeA+cBm4DLsnqfGJgOJlJJPC6cxY8YAMHPmzEJfHzhwYL7HTZs2JTk5mblz5xYonGrVqkVsbKxPckoIGjQIxo2DP/6At9+G/v1NJxIJCVHAV8AVwO/AJdjF0zkGM4mUht+NccrIyCi0N6lXr17UqVOHiy++mA8++KDYfWRlZZGZmelZDh065Ku4EqiqV4eHHrLXx4yBHN3HXaS8NAG+Bc4FdmD3PP1qNJGI9/yqcEpOTua9997jrrvu8jxXtWpVpkyZwgcffMCnn37KFVdcQZ8+fXjrrbeK3M+ECROIioryLAkJCeURXwLFzz/DvffCxIn2499/h926QFqkPNUHvgbaAHuBqWbjiHit1IXT6NGjCx2sffKyatWqUgdZv3491157LU899RRdu3b1PB8TE8NDDz1E+/btadeuHWPHjuXee+9l0qRJRe5rxIgRZGRkeJYNGzaUOo8Emdxc+Phj6NYNEhLg1VfhyBFo2RJmz4YGDUwnFAk5tQH3f5O3mQwiUgqlHuM0dOhQ+vbtW+w2jRs3LtU+N2zYwOWXX87gwYMZOXJkidt36NCB118vev5Zp9OJ0+n0PM7MzCxVHgkif/4Jb7wB//qXPZ4JoEIF6NUL7rsPunTR3E0iBtVztbuMphDxXqkLp5iYGGJiYsoswPr167n88ssZMGAA48aN8+o9KSkp1KtXr+QNJXRt2ABTp8J//wtHj9rP1ahhDwq/914oZXEvIr6hwkkCjU+vqtu2bRsHDhxg27Zt5ObmkpqaCkCzZs2oWrUq69evp0uXLnTr1o1hw4aRnp4OQFhYGLVr1wZg1qxZhIeH06ZNGypUqMDHH3/MP//5T5599llfRpdA9fvvcPfdsOSk6fVatYL774dbb4XKlc1lE5EC3IXTbuwbAPvVwFuRQvi0cHrqqaeYNWuW53GbNm0AWLp0KZ07d+b9999n7969zJ49m9mzZ3u2a9SoEVu2bPE8fuaZZ9i6dSthYWE0b96cN954g9tuu82X0SVQ/fvfdtFUoQJce61dMHXqpNNxIn6qrqs9DhwEahnMIuINh2VZlukQvrZ9+3bi4+NJS0ujgQYBB7c337Rv1tu2LZzGRQoiUv4igBwgDdC/0HI6yvP3vHpFJbhccYXdrlkDBw+azSIiXqnkav8ymkLEOyqcJLjExcE559g38f3qK9NpRMQL7ttrHzOaQsQ7Kpwk+Lh7nb74wmwOEfGKu8dJhZMEAhVOEnzcE6jOmaPTdSIBwH2TrSXFbiXiH1Q4SfDp2dOeEXz/fhg1ynQaESnBg652LLDJYA4Rb6hwkuBTsSK89JK9/sorsG6d2TwiUqzbgSuxT9XdDQT9pd4S0FQ4SXC64gq44Qb7HnVPPWU6jYgUwwH8G3uQ+BfAp2bjiBRLhZMEryeftNvPP4e/dKGziD9rit3zBLDUZBCREqhwkuB1/vnQoIFdNH39tek0IlKCjq72B6MpRIqnwkmCl8MBf/+7vf6pOv9F/F0HV7saeyZxEX+kwkmCm7twWrDAnhRTRPzW2UAN7EHiPxnOIlIUFU4SvHJzYZPr4uY//oC0NLN5RKRYDqC9a32lySAixahoOoCIT3z/PQwZAqmp9uP27SEmxmgkESlZtKvNNhlCpBjqcZLgkp4OAwbAxRfbRVN0NPzrX3YhVbmy6XQiUoLDrraq0RQiRVOPkwSHnBx4+WV7pvBDh+yB4XfcAePHQ+3aptOJiJeOuFoVTuKvVDhJ4PvqKxg6FNavtx+3a2f3MrVvX+zbRMT/qMdJ/J0KJwlsyclw+eX2FXO1asHEiTBwIFTQWWiRQOTuccozmkKkaPrtIoHttdfsoqlHD9i4EQYNUtEkEsD+5mqnoHvWiX/SbxgJXH/9BR9+aK8//jjUrGk2j4icsdFABPZtVz43G0WkUCqcJHAtWGAPBG/Y0L6KTkQCXiPgftf6P4Bcg1lECqPCSQLX7Nl226+fTs+JBJHHsWcQXwf813AWkVPpt40Eph9+sHucwC6cRCRo1MAungDGmAwiUggVThJ41qyxB4Pn5Nj3omvd2nQiESljd7rarUCmySAip1DhJIFl3Tro1g0yMuCSS+C990wnEhEfqA5Euda3mwwicgoVThI4Nm6EK6+E/fvtyS0XLIAqVUynEhEfiXe1KpzEn6hwksDwxx/2RJe7d8MFF8Dnn0P16qZTiYgPNXC1aUZTiOSnwkn832+/QZcusGMHJCTAokVQo4bpVCLiY+pxEn+kwkn8W2qqPZZp2zZo3hyWLNFNe0VChLtP+ajRFCL5qXAS//Xdd9C5M+zZA23awLffQr16plOJSDlx/4LSfevEn+gmv+Kfli+Hrl3t26pceil8/DFERZX8PhEJGiqcxB+px0n808SJdtHUrZs9EFxFk0jICXO1x42mEMnPp4XTuHHj6NixI5UrVyY6OrrQbRwOR4Fl2rRp+bZZu3YtnTp1IjIykvr16zN27FgsS/fNDloHD8Knn9rrzz8PlSubzSMiRrhPiahwEn/i01N12dnZ9O7dm8TERKZPn17kdjNmzKBHjx6ex1En9S5kZmbStWtXunTpwsqVK9m4cSNJSUlUqVKF4cOH+zK+mDJ3LmRn2zOCt2plOo2IGKLCSfyRTwunMWPsuwzNnDmz2O2io6OJjY0t9LXZs2dz7NgxZs6cidPppFWrVmzcuJEpU6YwbNgwHA5HWccW095+225vucVsDhExKtzV5hhNIZKfX4xxGjp0KDExMVx00UVMmzaNvLwTQwGTk5Pp1KkTTqfT81z37t3ZuXMnW7ZsKXR/WVlZZGZmepZDhw75+hCkrKSkwNKl9nrfvmaziIhR7v/Zq3ASf2K8cHr66ad5//33WbJkCX379mX48OGMHz/e83p6ejp169bN9x734/T09EL3OWHCBKKiojxLQkKC7w5AyoZlwdSpkJhor19+OTRpYjqViBjkvqGSbvIr/qTUhdPo0aMLHdB98rJq1Sqv9zdy5EgSExO54IILGD58OGPHjuW5557Lt82pp+PcA8OLOk03YsQIMjIyPMuGDRtKeZRSrvbuhV694P77ISsLevaEOXNMpxIRwxq52q1GU4jkV+oxTkOHDqVvCadQGjdufLp56NChA5mZmezevZu6desSGxtboGdpz549AAV6otycTme+U3uZmfr/it/64gvo3x927YKICHjuObjvPtDYNZGQ19jVbjGYQeRUpS6cYmJiiImJ8UUWAFJSUqhUqZJn+oLExEQef/xxsrOziYiIAGDRokXExcWdUYEmhuXkwJNPwqRJ9qm5c86xe5nOP990MhHxE+4epwzgTyDaWBKRE3x6Vd22bds4cOAA27ZtIzc3l9TUVACaNWtG1apV+fjjj0lPTycxMZHIyEiWLl3KE088wZ133unpMerXrx9jxowhKSmJxx9/nN9++43x48fz1FNP6Yq6QHX4sD0r+A8/2I/vvBNeeEHzNYlIPlWAGGAf9um6aKNpRGw+LZyeeuopZs2a5Xncpk0bAJYuXUrnzp0JDw/nlVdeYdiwYeTl5dG0aVPGjh3LkCFDPO+Jiopi8eLFDBkyhHbt2lGjRg2GDRvGsGHDfBldfOmVV+yiKToapk+HG24wnUhE/FR17MJJAy7EXzisEJiCe/v27cTHx5OWlkaDBg1Mxwltf/1lXy23ezfMnAkDBphOJCJ+Kg+IBLKBzZwY8yRyqvL8PW98OgIJMTNm2EVTo0bQr5/pNCLix3ZjF00VgPqGs4i4qXCS8pOTYw8GB/jHPyA8vPjtRSSkbXG1DTgxi7iIaSqcpHxs3QoPPWS3devC//2f6UQi4ufc8zc1KnYrkfLl08HhEuL++su+Ye+MGfDll/a0AwCPPgqRkWaziYjfO+JqncVuJVK+VDhJ2bIsWLHCLpbmzIGMjBOvXX45DBqke9CJiFdau9pUwAI0AY34AxVOUjZ274Y337QLppNvcdOokX1absAA0ISlIlIK52H/ktoHpAENzcYRAVQ4yZnIyYEFC+xiacECyM21n69UCW66yS6YOneGChpKJyKlVwloCfwIrEaFk/gHFU5SekeOwOTJ9kSWrvsGAtChg10s9ekDUVHm8olI0GjLicLpesNZRECFk5RGXh7Mng0jRsCOHfZzdevC7bfbBdO555rNJyJBx30ZyQGjKUROUOEk3vn+e3jwQVi50n7cuDFMmAA33qj5mETEJ3KBD13rPU0GETmJCicp3o4d8PDD9hVyAFWrwhNP2EVUpUpGo4lIcPsaSAdqAF0NZxFxU+EkRVuxAnr1sq+Yczjgjjvg6achNtZ0MhEJAQtc7fVAhMkgIidR4SSFe/99e+zSsWPQujX8979wwQWmU4lICDnoas82mkIkP10nLvlZFowbBzffbBdNPXvCd9+paBKRcnfM1WpQgPgTFU5yQlaWPVHlyJH24wcfhP/9D6pVMxpLREJTlqtV4ST+RKfqxLZ/P1x3HSxbBmFh8PLLcPfdplOJSAhTj5P4IxVOYrv3Xrtoioqyxzd11TUsImKWu8dJA8PFn6hwEti0yS6WABYvhosuMptHRIQTBVOO0RQi+WmMk9i3T7EseyC4iiYR8ROVXe1RoylE8lPhFOp274aZM+31f/zDaBQRkZO5C6cjRlOI5KfCKdRNnWpfTfe3v8Gll5pOIyLioR4n8UcqnELdrFl2+/DD9uzgIiJ+QoWT+CMVTqGuouv6gHr1zOYQETlFnqvVLyrxJ/rzGOri4+02Lc1sDhGRUxx3tbr8W/yJCqdQ5y6ctm83m0NE5BTuaQjCjaYQyU+FU6hr0MBu1eMkIn5GPU7ij1Q4hTp34bRjh9kcIiKnyDUdQKQQKpxCXYRrbt68vOK3ExEpZ2e52vVGU4jkp8Ip1B13dYaHhZnNISJyivaudoXRFCL5qXAKdbmuznAVTiLiZ9w3gPoNOGAyiMhJVDiFOhVOIuKnagLNXOurTAYROYlPC6dx48bRsWNHKleuTHR0dIHXZ86cicPhKHTZs2cPAFu2bCn09c8//9yX0UPDsWPg/hydTrNZREQK0c7VphhNIXKCT6/yzM7Opnfv3iQmJjJ9+vQCr/fp04cePXrkey4pKYljx45Rp06dfM8vWbKEli1beh7XrFnTN6FDRWYm9OoFX39tF00DB5pOJCJSgHtKgkijKURO8GnhNGbMGMDuWSpMZGQkkZEn/jrs3buXL7/8stAiq1atWsTGxvokZ8jZsweuugrWrIFq1eDjj+GSS0ynEhEpwD1RSn2jKURO8KsxTv/973+pXLkyN910U4HXevXqRZ06dbj44ov54IMPit1PVlYWmZmZnuXQoUO+ihx4tm6FSy+1i6bateGrr6BTJ9OpREQK5b6ngQon8Rd+VTi98cYb9OvXL18vVNWqVZkyZQoffPABn376KVdccQV9+vThrbfeKnI/EyZMICoqyrMkJCSUR3z/9/PPds/Sxo3QsCEsWwYXXmg6lYhIofKAXa71BiaDiJyk1IXT6NGjixzQ7V5WrSr99Q/Jycls2LCBO+64I9/zMTExPPTQQ7Rv35527doxduxY7r33XiZNmlTkvkaMGEFGRoZn2bBhQ6nzBKXbb7fvSXfuufDdd9C8uelEIiJF2s+JMU4xJoOInKTUY5yGDh1K3759i92mcePGpQ7y+uuvc8EFF9C2bdsSt+3QoQOvv/56ka87nU6cJ10llpmZWeo8QScvD376yV7/6KMTt1oREfFTNV3LAWA1cLHZOCLAaRROMTExxMSUbe1/+PBh3nvvPSZMmODV9ikpKdSrV69MMwS9ffsgOxscDmjSxHQaEZEShQHdgDnA56hwEv/g06vqtm3bxoEDB9i2bRu5ubmkpqYC0KxZM6pWrerZ7t133+X48ePceuutBfYxa9YswsPDadOmDRUqVODjjz/mn//8J88++6wvoweftDS7jY2F8HCzWUREvNQDu3D6DHjacBYR8HHh9NRTTzFr1izP4zZt2gCwdOlSOnfu7Hl++vTp3HDDDdSoUaPQ/TzzzDNs3bqVsLAwmjdvzhtvvMFtt93my+jBZ7vr2pT4eLM5RERKoburXQ3sAeoUs61IeXBYlmWZDuFr27dvJz4+nrS0NBqE4tieY8egTx+YPx9uuAE+/NB0IhERr12IPXP4O0DxI2wlVJXn73m/mo5AfGD/frjySrtoCg+Hu+82nUhEpFRaudo0oylEbCqcgtnvv0Nioj31QHQ0LFoEXbuaTiUiUiruy5H2GU0hYvPpGCcxKCPDLpr27oVGjeDTT0ETgYpIAHIXTnuNphCxqXAKVqtW2UVT7drwww/21XQiIgGorqvdaTSFiE2n6oKV+7Y11auraBKRgNbY1W41GULERYVTsKpc2W6PHjWbQ0TkDDVytVuBoL8MXPyeCqdgpcJJRIKEe/a5v9A4JzFPhVOwUuEkIkHCCcS51rcYzCECKpyC148/2m3NmmZziIiUgXNd7QqjKURUOAWvN9+02z59zOYQESkDV7rahUZTiKhwCk4ZGfC//9nr/fubzSIiUgZ6uNqlQLbJIBLyVDgFow8/tO9Pd8450Lat6TQiImfsPOz5nI4A3xnOIqFNhVOwOX4cXnvNXu/fHxwOs3lERMpABaCba12n68QkFU7BxLLgnntg+XKoVEmn6UQkqHRytWuMppBQp8IpmDz5JLz+OlSoAO+8A/HxJb9HRCRAnOVqt5gMISFPhVOwmDoVxo2z16dNg+uuMxpHRKSsNXa1W4E8gzkktKlwCgZz5sADD9jrTz8NgwebzSMi4gMNgDDsq+p2Gc4ioUuFU6BLTYXbb7fHNw0dCk88YTqRiIhPVAQautY3mwwiIU2FU6BbtAhycuCyy+DFF3UVnYgEtdau9n9GU0goU+EU6MLC7DY+/sS6iEiQcg9EmA7oTpxiggqnQBcRYbc5OWZziIiUg6uApsBBYLbhLBKaVDgFuvBwu1XhJCIhIAwY4lqfClgGs0hoUuEU6O65x27nzTObQ0SknAx0tWuBQSaDSEhS4SQiIgEl+qT1raZCSMhS4RToDh2yJ7xMSzOdRESk3BwHPgTeNB1EQk5F0wHkDFWtCnfdZTqFiEi5CgNuMB1CQpJ6nERERES8pMJJRERExEsqnERERES8pMJJRERExEs+K5y2bNnCHXfcQZMmTYiMjOSss85i1KhRZGdn59tu27ZtXHPNNVSpUoWYmBjuv//+AtusXbuWTp06ERkZSf369Rk7diyWpWnPREREpHz57Kq6X375hby8PP7973/TrFkz1q1bx+DBgzly5AiTJ08GIDc3l549e1K7dm2WLVvG/v37GTBgAJZlMXXqVAAyMzPp2rUrXbp0YeXKlWzcuJGkpCSqVKnC8OHDfRVfREREpACHVY5dN8899xyvvvoqf/zxBwCfffYZV199NWlpacTFxQEwZ84ckpKS2LNnD9WrV+fVV19lxIgR7N69G6fTCcDEiROZOnUq27dvx+FwlPhzt2/fTnx8PGlpaTRo0MB3BygiIiLlrjx/z5frGKeMjAxq1qzpeZycnEyrVq08RRNA9+7dycrKYvXq1Z5tOnXq5Cma3Nvs3LmTLVu2lFt2ERERkXKbAPP3339n6tSpPP/8857n0tPTqVu3br7tatSoQUREBOnp6Z5tGjdunG8b93vS09Np0qRJgZ+VlZVFVlaW53FGRgYAu3btKpNjEREREf/h/v2emZmJZVlenY06XaUunEaPHs2YMWOK3WblypW0a9fO83jnzp306NGD3r17M2hQ/lsyFnZwpx70qdu4zy4W9cFMmDCh0Izt27cvNreIiIgErpYtW5KRkUH16tV99jNKXTgNHTqUvn37FrvNyT1EO3fupEuXLiQmJvLaa6/l2y42Npbly5fne+7gwYPk5OR4epViY2M9vU9ue/bsASjQW+U2YsQIhg0b5nl84MABmjRpwrp164iKiir+AEPQoUOHSEhIYMOGDVSrVs10HL+kz6h4+nyKp8+nZPqMiqfPp3gZGRm0atWKLVu2+PzzKXXhFBMTQ0xMjFfb7tixgy5dutC2bVtmzJhBhQr5h1QlJiYybtw4du3aRb169QBYtGgRTqeTtm3berZ5/PHHyc7OJiIiwrNNXFxcgVN4bk6nM9+YKLf4+HifVqGBKjMzE4D69evr8ymCPqPi6fMpnj6fkukzKp4+n+K5P5MaNWr49DQd+HBw+M6dO+ncuTPx8fFMnjyZvXv3kp6enq/3qFu3biQkJNC/f39SUlL44osvePjhhxk8eLDnQ+jXrx9Op5OkpCTWrVvHvHnzGD9+PMOGDfP5hyMiIiJyMp8NDl+0aBGbNm1i06ZNBS4NdI9RCgsLY8GCBdx7771cfPHFREZG0q9fP888TwBRUVEsXryYIUOG0K5dO2rUqMGwYcPynYoTERERKQ8+K5ySkpJISkoqcbuGDRvyySefFLtN69at+eabb047i9PpZNSoUYWevhN9Pt7QZ1Q8fT7F0+dTMn1GxdPnU7zy/HzKdQJMERERkUCmm/yKiIiIeEmFk4iIiIiXVDiJiIiIeEmFk4iIiIiXgrpwaty4MQ6Ho8AyZMgQ09H8wvHjxxk5ciRNmjQhMjKSpk2bMnbsWPLy8kxH8xuHDh3iwQcfpFGjRkRGRtKxY0dWrlxpOpYx33zzDddccw1xcXE4HA4++uijfK9blsXo0aOJi4sjMjKSzp07s379ejNhDSjp85k7dy7du3cnJiYGh8NBamqqkZymFPf55OTk8Oijj9K6dWuqVKlCXFwct99+Ozt37jQX2ICS/gyNHj2ac845hypVqlCjRg2uvPLKAnfgCGYlfT4nu+uuu3A4HLz44otlmiGoC6eVK1eya9cuz7J48WIAevfubTiZf3j22WeZNm0aL7/8Mj///DOTJk3iueeeY+rUqaaj+Y1BgwaxePFi3nzzTdauXUu3bt248sor2bFjh+loRhw5coTzzz+fl19+udDXJ02axJQpU3j55ZdZuXIlsbGxdO3alUOHDpVzUjNK+nyOHDnCxRdfzMSJE8s5mX8o7vM5evQoa9as4cknn2TNmjXMnTuXjRs30qtXLwNJzSnpz1Dz5s15+eWXWbt2LcuWLaNx48Z069aNvXv3lnNSM0r6fNw++ugjli9fTlxcXNmHsELIAw88YJ111llWXl6e6Sh+oWfPntbAgQPzPXfDDTdYt912m6FE/uXo0aNWWFiY9cknn+R7/vzzz7eeeOIJQ6n8B2DNmzfP8zgvL8+KjY21Jk6c6Hnu2LFjVlRUlDVt2jQDCc069fM52ebNmy3ASklJKddM/qS4z8dtxYoVFmBt3bq1fEL5GW8+o4yMDAuwlixZUj6h/EhRn8/27dut+vXrW+vWrbMaNWpkvfDCC2X6c4O6x+lk2dnZvPXWWwwcOFC3anG55JJL+OKLL9i4cSMAP/74I8uWLePvf/+74WT+4fjx4+Tm5lKpUqV8z0dGRrJs2TJDqfzX5s2bSU9Pp1u3bp7nnE4nnTp14vvvvzeYTAJVRkYGDoeD6Oho01H8UnZ2Nq+99hpRUVGcf/75puP4hby8PPr3788jjzxCy5YtffIzfDZzuL/56KOP+PPPP72azTxUPProo2RkZHDOOecQFhZGbm4u48aN45ZbbjEdzS9Uq1aNxMREnn76ac4991zq1q3LO++8w/Llyzn77LNNx/M77vtQ1q1bN9/zdevWZevWrSYiSQA7duwYjz32GP369dNNbU/xySef0LdvX44ePUq9evVYvHgxMTExpmP5hWeffZaKFSty//33++xnhEyP0/Tp07nqqqt8c74zQL377ru89dZbvP3226xZs4ZZs2YxefJkZs2aZTqa33jzzTexLIv69evjdDr55z//Sb9+/QgLCzMdzW+d2qNrWZZ6eaVUcnJy6Nu3L3l5ebzyyium4/idLl26kJqayvfff0+PHj24+eab2bNnj+lYxq1evZqXXnqJmTNn+vTfnJAonLZu3cqSJUsYNGiQ6Sh+5ZFHHuGxxx6jb9++tG7dmv79+/PQQw8xYcIE09H8xllnncXXX3/N4cOHSUtLY8WKFeTk5NCkSRPT0fxObGwscKLnyW3Pnj0FeqFEipKTk8PNN9/M5s2bWbx4sXqbClGlShWaNWtGhw4dmD59OhUrVmT69OmmYxn37bffsmfPHho2bEjFihWpWLEiW7duZfjw4TRu3LjMfk5IFE4zZsygTp069OzZ03QUv3L06FEqVMj/RyAsLEzTERSiSpUq1KtXj4MHD7Jw4UKuvfZa05H8TpMmTYiNjfVcvQr2GIyvv/6ajh07GkwmgcJdNP32228sWbKEWrVqmY4UECzLIisry3QM4/r3789PP/1EamqqZ4mLi+ORRx5h4cKFZfZzgn6MU15eHjNmzGDAgAFUrBj0h1sq11xzDePGjaNhw4a0bNmSlJQUpkyZwsCBA01H8xsLFy7EsixatGjBpk2beOSRR2jRogX/93//ZzqaEYcPH2bTpk2ex5s3byY1NZWaNWvSsGFDHnzwQcaPH8/ZZ5/N2Wefzfjx46lcuTL9+vUzmLr8lPT5HDhwgG3btnnmJvr1118Bu7fO3WMXzIr7fOLi4rjppptYs2YNn3zyCbm5uZ7ey5o1axIREWEqdrkq7jOqVasW48aNo1evXtSrV4/9+/fzyiuvsH379pCZZqekv2OnFtvh4eHExsbSokWLsgtRptfo+aGFCxdagPXrr7+ajuJ3MjMzrQceeMBq2LChValSJatp06bWE088YWVlZZmO5jfeffddq2nTplZERIQVGxtrDRkyxPrzzz9NxzJm6dKlFlBgGTBggGVZ9pQEo0aNsmJjYy2n02lddtll1tq1a82GLkclfT4zZswo9PVRo0YZzV1eivt83FM0FLYsXbrUdPRyU9xn9Ndff1nXX3+9FRcXZ0VERFj16tWzevXqZa1YscJ07HJT0t+xU/liOgKHZVlW2ZVhIiIiIsErJMY4iYiIiJQFFU4iIiIiXlLhJCIiIuIlFU4iIiIiXlLhJCIiIuIlFU4iIiIiXlLhJCIiIuIlFU4iIiIiXlLhJCIiIuIlFU4iIiIiXlLhJCIiIuIlFU4iIiIiXlLhJCIiIuIlFU4iIiIiXlLhJCIiIuIlFU4iIiIiXlLhJCIiIuIlFU4iIiIiXgq4wunVV1/lvPPOo3r16lSvXp3ExEQ+++wzz+tz586le/fuxMTE4HA4SE1N9Wq/H374IQkJCTidThISEpg3b56PjuD0+eLYZ86cicPhKLAcO3bMh0dSesUde05ODo8++iitW7emSpUqxMXFcfvtt7Nz584S9xvo3/vpHnugfO9Q8p/70aNHc84551ClShVq1KjBlVdeyfLly0vcb6B/93B6xx4o331Jx36yu+66C4fDwYsvvljifgPhewffHH+wfPdJSUkFjqFDhw4l7resvvuAK5waNGjAxIkTWbVqFatWreLyyy/n2muvZf369QAcOXKEiy++mIkTJ3q9z+TkZPr06UP//v358ccf6d+/PzfffLNX//iWJ18cO0D16tXZtWtXvqVSpUq+OITTVtyxHz16lDVr1vDkk0+yZs0a5s6dy8aNG+nVq1ex+wyG7/10jx0C43uHkv/cN2/enJdffpm1a9eybNkyGjduTLdu3di7d2+R+wyG7x5O79ghML77ko7d7aOPPmL58uXExcWVuM9A+d7BN8cPwfPd9+jRI98xfPrpp8Xus0y/eysI1KhRw3r99dfzPbd582YLsFJSUkp8/80332z16NEj33Pdu3e3+vbtW5YxfeJMj33GjBlWVFSUb8L5WGHH7rZixQoLsLZu3Vrk+4Pte3fz5tgD+Xu3rOKPPyMjwwKsJUuWFPn+YP3uvTn2QP7uTz327du3W/Xr17fWrVtnNWrUyHrhhReKfX8gf++WdebHHyzf/YABA6xrr722VO8vy+8+4HqcTpabm8ucOXM4cuQIiYmJp72f5ORkunXrlu+57t278/33359pRJ8pq2MHOHz4MI0aNaJBgwZcffXVpKSklFFK3/Dm2DMyMnA4HERHRxe5n2D93r05dgi87x1KPv7s7Gxee+01oqKiOP/884vcTzB+994eOwTed1/Ysefl5dG/f38eeeQRWrZs6dV+AvF7h7I7fgiO7x7gq6++ok6dOjRv3pzBgwezZ8+eYvdTpt99qUstP/DTTz9ZVapUscLCwqyoqChrwYIFBbYpTa9LeHi4NXv27HzPzZ4924qIiCiryGWmrI89OTnZevPNN63U1FTrm2++sW688UYrMjLS2rhxow/Snxlvjt2yLOuvv/6y2rZta916663F7i/YvnfL8v7YA+l7t6ySj//jjz+2qlSpYjkcDisuLs5asWJFsfsLpu++tMceSN99ccc+fvx4q2vXrlZeXp5lWZZXPS6B9L1bVtkff7B893PmzLE++eQTa+3atdb8+fOt888/32rZsqV17NixIvdXlt99QBZOWVlZ1m+//WatXLnSeuyxx6yYmBhr/fr1+bYpbeH09ttv53vurbfespxOZ1nGLhNlfeynys3Ntc4//3zrvvvuK6PEZcebY8/OzrauvfZaq02bNlZGRkax+wu27700x34qf/7eLavk4z98+LD122+/WcnJydbAgQOtxo0bW7t37y5yf8H03Zf22E/lz999Uce+atUqq27dutaOHTs823pbOAXK925ZZX/8pwrE774wO3futMLDw60PP/ywyP2V5XcfkIXTqa644grrzjvvzPdcaYqH+Ph4a8qUKfmemzJlitWwYcOyjOkTZ3rshRk0aFCBc8H+6NRjz87Otq677jrrvPPOs/bt21fi+4Ppey/tsRcmUL53yyr8z/3JmjVrZo0fP77I14Ppuz9VScdemED57t3H/sILL1gOh8MKCwvzLIBVoUIFq1GjRkW+P5C/d8s68+MvTKB990Vp1qyZNXHixCJfL8vvPqDHOLlZlkVWVtZpvz8xMZHFixfne27RokV07NjxTKP53Jkee2H7S01NpV69emW2T185+dhzcnK4+eab+e2331iyZAm1atUq8f3B8r2fzrEXtr9A+d6h5D/3Jb0eLN/96bxe2PaB8t27j61///789NNPpKamepa4uDgeeeQRFi5cWOT7A/l7hzM//sL2F2jffWH2799PWlpascdRpt99qUstw0aMGGF988031ubNm62ffvrJevzxx60KFSpYixYtsizLsvbv32+lpKRYCxYssABrzpw5VkpKirVr1y7PPvr372899thjnsffffedFRYWZk2cONH6+eefrYkTJ1oVK1a0fvjhh3I/vuL44thHjx5tff7559bvv/9upaSkWP/3f/9nVaxY0Vq+fHm5H19xijv2nJwcq1evXlaDBg2s1NRUa9euXZ4lKyvLs49g/N5P99gD5Xu3rOKP//Dhw9aIESOs5ORka8uWLdbq1autO+64w3I6nda6des8+wjG7/50jz1QvvuS/r07VWGnqgL1e7cs3xx/MHz3hw4dsoYPH259//331ubNm62lS5daiYmJVv369a3MzEzPPnz53Qdc4TRw4ECrUaNGVkREhFW7dm3riiuuyPcHacaMGRZQYBk1apRnm06dOlkDBgzIt9/333/fatGihRUeHm6dc845xZ4rNcUXx/7ggw9aDRs29OyzW7du1vfff1+OR+Wd4o7dfWqysGXp0qWefQTj9366xx4o37tlFX/8f/31l3X99ddbcXFxVkREhFWvXj2rV69eBQZIB+N3f7rHHijffUn/3p2qsMIhUL93y/LN8QfDd3/06FGrW7duVu3ata3w8HCrYcOG1oABA6xt27bl24cvv3uHZVlW6fupREREREJPUIxxEhERESkPKpxEREREvKTCSURERMRLKpxEREREvKTCSURERMRLKpxEREREvBQShVNWVhajR48u0xm2A0UoHzuE9vHr2EPz2CG0j1/HHprHDuV3/AEzj9Mrr7zCc889x65du2jZsiUvvvgil156qVfvzczMJCoqioyMDKpXr+7jpP4llI8dQvv4deyheewQ2sevYw/NY4fyO/6A6HF69913efDBB3niiSdISUnh0ksv5aqrrmLbtm2mo4mIiEgICYjCacqUKdxxxx0MGjSIc889lxdffJH4+HheffVV09FEREQkhFQ0HaAk2dnZrF69msceeyzf8926deP7778v9D1ZWVn5znEeOHAAgLS0NKKionwX1g8dOnQIgB07dpCZmWk4TfkL5ePXsYfmsUNoH7+OPTSPPS8vj99//x0An49AOq073JWjHTt2WID13Xff5Xt+3LhxVvPmzQt9z6hRo4q88akWLVq0aNGiJXiXPXv2+LQu8fseJzeHw5HvsWVZBZ5zGzFiBMOGDfM8TktLo1WrVqxYsYJ69er5NKeIiIiUr127dtG+fXvWr19PTEyMT3+W3xdOMTExhIWFkZ6enu/5PXv2ULdu3ULf43Q6cTqdnsfu03P16tWjQYMGvgsrIiIixlSvXr3ITpWy4veDwyMiImjbti2LFy/O9/zixYvp2LGjoVQiIiISivy+xwlg2LBh9O/fn3bt2pGYmMhrr73Gtm3buPvuu01HExERkRASEIVTnz592L9/P2PHjmXXrl20atWKTz/9lEaNGpmOJiIiIiEkIAongHvvvZd7773XdAwREREJYX4/xkmC2549e7jrrrto2LAhTqeT2NhYunfvTnJysmcbh8PBRx99VCY/b8uWLTgcDlJTU4vd7quvvsLhcPDnn38WeO2CCy5g9OjRnm2KW2bOnAnAhx9+SOfOnYmKiqJq1aqcd955jB071jPHmDfmzp1L165dqV27NtWrVycxMZGFCxcW2O7DDz8kISEBp9NJQkIC8+bNy/f6hAkTuOiii6hWrRp16tThuuuu49dff/W8npOTw6OPPkrr1q2pUqUKcXFx3H777ezcubPEjAcPHqR///5ERUURFRVF//79C3yGDzzwAG3btsXpdHLBBRd4ffxff/01bdu2pVKlSjRt2pRp06ble339+vXceOONNG7cGIfDwYsvvljiPo8dO0ZSUhKtW7emYsWKXHfddQW2WbZsGRdffDG1atUiMjKSc845hxdeeKHY/R44cID77ruPFi1aULlyZRo2bMj9999PRkaGZ5vi/vysXLmy2P2X9B2DfZuqJk2aUKlSJdq2bcu3335b4uchIiVT4SRG3Xjjjfz444/MmjWLjRs3Mn/+fDp37lyqgsJb2dnZZbq/jh07smvXLs9y880306NHj3zP9enThyeeeII+ffpw0UUX8dlnn7Fu3Tqef/55fvzxR958802vf94333xD165d+fTTT1m9ejVdunThmmuuISUlxbNNcnIyffr0oX///vz444/079+fm2++meXLl3u2+frrrxkyZAg//PADixcv5vjx43Tr1o0jR44AcPToUdasWcOTTz7JmjVrmDt3Lhs3bqRXr14lZuzXrx+pqal8/vnnfP7556SmptK/f/9821iWxcCBA+nTp4/Xx75582b+/ve/c+mll5KSksLjjz/O/fffz4cffujZ5ujRozRt2pSJEycSGxvr1X5zc3OJjIzk/vvv58orryx0mypVqjB06FC++eYbfv75Z0aOHMnIkSN57bXXitzvzp072blzJ5MnT2bt2rXMnDmTzz//nDvuuMOzzal/fnbt2sWgQYNo3Lgx7dq1K3Lf3nzHuk2ViA/5dJYoP5GWlmYBVlpamukocpKDBw9agPXVV18VuU2jRo3yTWzWqFEjy7Isa9OmTVavXr2sOnXqWFWqVLHatWtnLV68uMB7n376aWvAgAFW9erVrdtvv73ARGmdOnUq9OcuXbrUAqyDBw8WeO3888+3Ro0aVeD5AQMGWNdee22+55YvX24B1osvvljkZ3AmEhISrDFjxnge33zzzVaPHj3ybdO9e3erb9++Re5jz549FmB9/fXXRW6zYsUKC7C2bt1a5DYbNmywAOuHH37wPJecnGwB1i+//FJg+1GjRlnnn39+kfs72T/+8Q/rnHPOyffcXXfdZXXo0KHQ7Rs1amS98MILXu3brbDvryjXX3+9ddttt5Vq/++9954VERFh5eTkFPp6dna2VadOHWvs2LHF7seb77h9+/bW3XffnW+bc845x3rsscdKlVkkUJTn73n1OIkxVatWpWrVqnz00Uf5bpFzMvcpixkzZrBr1y7P48OHD/P3v/+dJUuWkJKSQvfu3bnmmmsK/I/6ueeeo1WrVqxevZonn3ySFStWALBkyRJ27drF3LlzfXiEMHv2bKpWrVrk+Lzo6GjgxCnEr776yut95+XlcejQIWrWrOl5Ljk5mW7duuXbrnv37kXengjwnD46eT+FbeNwODx5C5OcnExUVBR/+9vfPM916NCBqKioYn++N4o6rlWrVpGTk3NG+y6tlJQUvv/+ezp16uR5zn3abcuWLUW+z33H9ooVCx9aOn/+fPbt20dSUlK+5xs3bszo0aM9j0v6jt23qTp1m+JuUyUi3lPhJMZUrFiRmTNnMmvWLKKjo7n44ot5/PHH+emnnzzb1K5dG7ALjNjYWM/j888/n7vuuovWrVtz9tln88wzz9C0aVPmz5+f72dcfvnlPPzwwzRr1oxmzZp53l+rVi1iY2OLLRbKwm+//UbTpk0JDw8vdrvw8HDPeBhvPf/88xw5coSbb77Z81x6enqBiWHr1q1bYAJZN8uyGDZsGJdccgmtWrUqdJtjx47x2GOP0a9fP6pXr15knvT0dOrUqVPg+Tp16hT5871V1HEdP36cffv2ndG+vdWgQQOcTift2rVjyJAhDBo0yPNa5cqVadGiRZHf8/79+3n66ae56667itz/9OnT6d69O/Hx8fmeP+uss/LNhFzSd7xv3z5yc3NL9edARLynwkmMuvHGG9m5cyfz58+ne/fufPXVV1x44YWeQdVFOXLkCP/4xz9ISEggOjqaqlWr8ssvvxTocSpurEh5sIq5NdDJ6tevzy+//EL79u292u8777zD6NGjeffddwsUK6W5PdHQoUP56aefeOeddwp9PScnh759+5KXl8crr7zief7uu+/29BhWrVq1yJ9d0s8vzMn7PXmutsKOq6if6Qvffvstq1atYtq0abz44ov5PrP27dvzyy+/UL9+/QLvy8zMpGfPniQkJDBq1KhC9719+3YWLlyYbwyU2xdffMHQoUPzPefNd1yaPwci4r2AmY5AglelSpXo2rUrXbt25amnnmLQoEGMGjWqwCmLkz3yyCMsXLiQyZMn06xZMyIjI7npppsKDACvUqXKaWVy96xkZGQUOD31559/em7jU5LmzZuzbNkycnJySux18ta7777LHXfcwfvvv19gQHNsbKzXtye67777mD9/Pt98802htyLKycnh5ptvZvPmzXz55Zf5epvGjh3Lww8/XOBn7969u8B+9u7dW+TtkQpz8hWP7p9Z1HFVrFiRWrVqeb3vM9GkSRMAWrduze7duxk9ejS33HJLse85dOgQPXr0oGrVqsybN6/IPwMzZsygVq1aXg3AL+k7Pp3bVImI99TjJH4nISHBc4UX2KexcnNz823z7bffkpSUxPXXX0/r1q2JjY0tdnyJW0REBECB/Z3q7LPPpkKFCgUuC9+1axc7duygRYsWXh1Lv379OHz4cL7empMVNt1Bcd555x2SkpJ4++236dmzZ4HXExMTC9yeaNGiRfluT2RZFkOHDmXu3Ll8+eWXnoLgZO6i6bfffmPJkiUFipM6dep4Tn82a9bM87MzMjI848gAli9fTkZGRqluj3Tyft29aUUdV7t27cqsIC0Ny7KKHJfnlpmZSbdu3YiIiGD+/PlUqlSpyH3NmDGD22+/3atjKek71m2qRHzM58PP/YCuqvNP+/bts7p06WK9+eab1o8//mj98ccf1nvvvWfVrVvXGjhwoGe7s88+27rnnnusXbt2WQcOHLAsy7Kuu+4664ILLrBSUlKs1NRU65prrrGqVatmPfDAA573FXZlVU5OjhUZGWk988wzVnp6uvXnn38Wme+ee+6xGjZsaM2bN8/6448/rGXLllmdOnWyWrduXeiVUUVdlfWPf/zDCgsLsx555BHr+++/t7Zs2WItWbLEuummmzxX223fvt1q0aKFtXz58iLzvP3221bFihWtf/3rX9auXbs8y8nH8N1331lhYWHWxIkTrZ9//tmaOHGiVbFixXxXut1zzz1WVFSU9dVXX+Xbz9GjRz2fUa9evawGDRpYqamp+bbJysoqMp9lWVaPHj2s8847z0pOTraSk5Ot1q1bW1dffXW+bX777TcrJSXFuuuuu6zmzZtbKSkpVkpKSrH7/uOPP6zKlStbDz30kLVhwwZr+vTpVnh4uPXBBx94tsnKyvLsq169etbDDz9spaSkWL/99luxmdevX2+lpKRY11xzjdW5c2fPPtxefvlla/78+dbGjRutjRs3Wm+88YZVvXp164knnvBss3z5cqtFixbW9u3bLcuyrMzMTOtvf/ub1bp1a2vTpk35PsPjx4/n+/lLliyxAGvDhg2F5rv88sutqVOneh578x3PmTPHCg8Pt6ZPn25t2LDBevDBB60qVapYW7ZsKfazEAlU5fl7XoWTGHPs2DHrsccesy688EIrKirKqly5stWiRQtr5MiRnl/ilmVZ8+fPt5o1a2ZVrFjRMx3B5s2brS5duliRkZFWfHy89fLLL1udOnUqsXCyLMv6z3/+Y8XHx1sVKlQocjoCd76xY8da5557rhUZGWk1atTISkpKsnbt2lXo9sVdzv7uu+9al112mVWtWjWrSpUq1nnnnWeNHTvWMx3B5s2bLcBaunRpkXk6depUYDoFwBowYEC+7d5//32rRYsWVnh4uHXOOedYH374Yb7XC9sHYM2YMSNflsKW4vJZlmXt37/fuvXWW61q1apZ1apVs2699dYCUy4UdRybN28udt9fffWV1aZNGysiIsJq3Lix9eqrr+Z7vajcxX3HllVwygv34vbPf/7TatmypVW5cmWrevXqVps2baxXXnnFys3N9Wzjnr7CfQzux94c5y233GJ17Nix2HynTn9R0ndsWZb1r3/9y2rUqJEVERFhXXjhhcVONyES6Mrz97zDslwjLIPY9u3biY+PJy0trdCxHCIiIhK4yvP3vMY4iYiIiHhJhZOIiIiIl1Q4iYiIiHhJhZOIiIiIl1Q4iYiIiHhJhZOIiIiIl1Q4iYiIiHhJhZOIiIiIl1Q4iYiIiHhJhZOIiIiIl1Q4iYiIiHhJhZOIiIiIl1Q4iYiIiHhJhZOIiIiIl1Q4iYiIiHhJhZOIiIiIl1Q4iYiIiHhJhZOIiIiIl1Q4iYiIiHhJhZOIiIiIl4wVTlu2bOGOO+6gSZMmREZGctZZZzFq1Ciys7PzbedwOAos06ZNM5RaREREQllFUz/4l19+IS8vj3//+980a9aMdevWMXjwYI4cOcLkyZPzbTtjxgx69OjheRwVFVXecUVERETMFU49evTIVww1bdqUX3/9lVdffbVA4RQdHU1sbGx5RxQRERHJx6/GOGVkZFCzZs0Czw8dOpSYmBguuugipk2bRl5eXrH7ycrKIjMz07McOnTIV5FFREQkhBjrcTrV77//ztSpU3n++efzPf/0009zxRVXEBkZyRdffMHw4cPZt28fI0eOLHJfEyZMYMyYMb6OLCIiIiHGYVmWVZY7HD16dIlFy8qVK2nXrp3n8c6dO+nUqROdOnXi9ddfL/a9zz//PGPHjiUjI6PIbbKyssjKyvI83rFjBwkJCaSlpdGgQQMvj0REREQCwfbt24mPjy+X3/Nl3uM0dOhQ+vbtW+w2jRs39qzv3LmTLl26kJiYyGuvvVbi/jt06EBmZia7d++mbt26hW7jdDpxOp2ex5mZmd6FFxERESlGmRdOMTExxMTEeLXtjh076NKlC23btmXGjBlUqFDykKuUlBQqVapEdHT0GSYVERERKR1jY5x27txJ586dadiwIZMnT2bv3r2e19xX0H388cekp6eTmJhIZGQkS5cu5YknnuDOO+/M16MkIiIiUh6MFU6LFi1i06ZNbNq0qcD5SPewq/DwcF555RWGDRtGXl4eTZs2ZezYsQwZMsREZJFSSQd+ArqZDuJLlgVpabB5MyQmQkSE6UQiIj5V5oPD/VF5DhoTAcgE3NO07gW8O3kdgCwLqlWDI0fgl1+gRQvTiUQkBJXn73m/msdJJFhUB5q71lebDOJrDgc0aWKvb95sNouISDlQ4STiI+4JN1YaTVEO3IXTli1GY4iIlAcVTiI+EjKFk3t6EfU4iUgIUOEk4iPnuNptRlOUg/r17TY93WwOEZFyoMJJxEfCXG3QX31RubLd/vWX2RwiIuVAhZOIjzhcbdAXTpGRdqvCSURCgAonER9R4SQiEnxUOIn4iAonEZHgo8JJxEfcf7nyjKYoB+4xTkePms0hIlIOVDiJ+Ij7L1fQ9zipcBKREKLCScRH1OMkIhJ8VDiJ+Ij7L1eu0RTlQIWTiIQQFU4iPuKexynoC6eICLvNzjabQ0SkHKhwEvERd+F03GiKchAebrc5OWZziIiUAxVOIj5S0dUGfeHk7nFS4SQiIUCFk4iPuPphgr9wcjrtNi9PxZOIBD0VTiI+4uqHIctoinLgHhwOmgRTRIKeCicRH3H1wxD0Q6adTnC45klX4SQiQU6Fk4iPuHucgr5wcjhO3HZFUxKISJBT4STiI+4epzxCYJyT7lcnIiFChZOIjzhOWg/6266EuSZfyA36WatEJMSpcBLxkZOLJUeRWwWJPNeNZSronxQRCW76V07ER1Q4iYgEH/0rJ+IjKpxERIKP/pUT8ZGQLJwcQX+kIhLiVDiJ+MjJf7nyjKUoJ+6eprygP1IRCXEqnER8JPyk9aC/EYn7Rr/Hg37iBREJcSqcRHwkJAsn3atORIKcCicRH6l40nrQ98PoVJ2IhAgVTiI+cvLg8KD/i+buaYqIKH47EZEAZ/Tf88aNG+NwOPItjz32WL5ttm3bxjXXXEOVKlWIiYnh/vvvJzs76O/+JUHg5L6XoL/WLCvLblU4iUiQq1jyJr41duxYBg8e7HlctWpVz3pubi49e/akdu3aLFu2jP379zNgwAAsy2Lq1Kkm4op4LaSmI3D/Z0aFk4gEOeOFU7Vq1YiNjS30tUWLFrFhwwbS0tKIi4sD4PnnnycpKYlx48ZRvXr18owqUirqcRIRCT7Gh148++yz1KpViwsuuIBx48blOw2XnJxMq1atPEUTQPfu3cnKymL16tUm4opIYdw393Xf7FdEJEgZ7XF64IEHuPDCC6lRowYrVqxgxIgRbN68mddffx2A9PR06tatm+89NWrUICIigvT09CL3m5WVRZb7f8DAoUOHfHMAIsU4+X8lVpFbBYmICPt0neZxEpEgV+Y9TqNHjy4w4PvUZdWqVQA89NBDdOrUifPOO49BgwYxbdo0pk+fzv79+z37cxRyCwfLsgp93m3ChAlERUV5loSEhLI+TJEShdTM4e5TdLpwQ0SCXJn3OA0dOpS+ffsWu03jxo0Lfb5Dhw4AbNq0iVq1ahEbG8vy5cvzbXPw4EFycnIK9ESdbMSIEQwbNszzeMeOHSqepNyFVI+TewJMFU4iEuTKvHCKiYkhJibmtN6bkpICQL169QBITExk3Lhx7Nq1y/PcokWLcDqdtG3btsj9OJ1OnE6n53FmZuZp5RE5EyeftDJ+FYavuSe+rGB82KSIiE8Z+/c8OTmZH374gS5duhAVFcXKlSt56KGH6NWrFw0bNgSgW7duJCQk0L9/f5577jkOHDjAww8/zODBg3VFnfi9k/tewovcKkhocLiIhAhjhZPT6eTdd99lzJgxZGVl0ahRIwYPHsw//vEPzzZhYWEsWLCAe++9l4svvpjIyEj69evH5MmTTcUW8drJd21T4SQiEhyMFU4XXnghP/zwQ4nbNWzYkE8++aQcEomUrZMHhAf9CSydqhOREKF/5UR8JKQGh1uuIyzmalcRkWCgwknER04uIYJ+OgIVTiISIlQ4ifhISM3jZAV9n5qICKDCScRnQqrHyU09TiIS5FQ4ifhISPU4iYiECBVOIj5y8oX5IVM4qcdJRIKcCicRH1GPk4hI8FHhJOIj4ZwY53TEZJDy4O5pylOJKCLBTYWTiI9UBOq71rcYzFEuKlWy22PHzOYQEfExFU4iPnSWq/3daIpyULmy3R49ajaHiIiPqXAS8aGQKZwiI+32r7/M5hAR8TEVTiI+1NTVrgFyTQbxNRVOIhIiVDiJ+FCCq/0f0AZYQJDdt86yYNw4+Pln+3F0tNE4IiK+psJJxId6AZOAaGAtcDVwGfC9wUxlJicHBg2CkSPtx488AhdcYDSSiIivqXAS8aEw4BHgD+AfQCVgGXAxcC3wOXZBtZcAm+tpzx7o2RPeeAMqVIB//QsmTTKdSkTE5yqaDiASCmoAzwL3AWOAN4D5rsUtDKgN1PViicHAX97Dh+F//4O334ZFi+D4cahSBd591y6iRERCgAonkXLUAPgPMBx4BkgBdgP7sQePp7uWkjiwiydviqw62JNxnpbsbFi40C6W/ve//IO/27WDf/8bLrzwdPcuIhJwVDiJGHAO8NZJj3OwT9ft9mLZiz3AfK9rWefFz6uJd0VWXcCZlwfLltnF0vvvw4EDJ3bUrBnceivccgu0aHFaxy4iEshUOIn4gXAgzrWUJBfYh3dF1h7X9gdcy89e7D/q0CHq1q1L3X79qHvFFdQ9dIi6sbHUTUigbqNGxDocniIrslRHKSIS+FQ4iQSYME70DpUkD7tgchdS6ZxSXB05wu7MTHY7HOypWZOciAgyoqLIiIpioxc9StUovvfqHKAFugpFRIKHCieRIFYBeyxUDNAS7HmX1qyBjz6CefNg/XrPtpbTycFbbmH3rbey+7LL2B0RUWxvVhZwyLVsKiZDVaAtcBHQzrU05cQNkEVEAokKJ5Fgd/w4fPutXSh99BGkpZ14rWJF6NIF+vXDcf311IyKoiZwbgm7tIBMij9NuBN7/NVh4GvX4lYDu4C66KS2PiqmRMT/qXASCUZHj8LixXax9PHH+Qd4V64MV10F111nTyNQo0apd+8AolxL82K2O449rmoVsNLV/ggcBBa7Fre65C+k2mFfESgi4k9UOIkEiwMHYMECu1hauNAuntxq1YJevexiqWvXE/eW87GKQGvX8n+u57KxJ/08uZhah91L9YlrcWtI/kKqLXZvlYiIKSqcRALZn3/CW2/Zp+C++gpyT7qVcMOGcP319nLxxfZpOT8QgV0AtQXucj13FLsnyl1IrQR+Bba5lrknvb8ZJ4qpjsDf0Ck+ESk//vEvqYiU3vHj0Lkz/Pjjiedat7Z7la6/3r5vnCMwSorKQKJrccvEniD05GLqD+yB6JuAOa7tWgH3A7e69iMi4ksqnEQC1axZdtFUowY8/rhdMDVrZjpVmakOdHItbgewiyh3IbUY+zTfncCjwGDgXqBRuSYVkVCi6VVEAtFff8GoUfb6k0/Cww8HVdFUlJpAN+BxYB6wHZgCNMEecD4Je6qDG7Gv4rPMxBSRIKbCSSQQjR8PO3ZAfDzcc4/pNMZEAw8Bv2HfMPkK7Ek/5wKdscdRLUAFlIiUHRVOIoFm8mR45hl7ffx4qFTJbB4/EAZcAyzBPnV3F/btYFKAq4FLgK9MhRORoKLCSSSQTJkCjzxir48eDbfdZjSOP2oJTAPSgH9gF1DfA12ArsAKc9FEJAgYK5y++uorHA5HocvKlSs92xX2+rRp00zFFjHnhRdg+HB7fdSoE2OcpFC1gGeB34Eh2DdSXoI9fcF12HNJiYiUlrHCqWPHjuzatSvfMmjQIBo3bky7du3ybTtjxox82w0YMMBQahFDXnwRhg2z1596yu5tEq/UA14GNgJJ2P/o/Q84H3sKg+LusycicipjhVNERASxsbGepVatWsyfP5+BAwfiOGXumejo6HzbRpbTrMcixm3aBHfeCQ89ZD8eOVJF02lqDMzAHgPVG3vA+NvAOcAoNIBcRLzjN2Oc5s+fz759+0hKSirw2tChQ4mJieGiiy5i2rRp5OXllX9AkfK0YgXcdBM0bw7/+Y/93BNPwNixATOppb86F3gPWAP8HcgFxgIDsM8z6BsAAQAASURBVG8HIyJSHL+ZAHP69Ol0796d+Pj4fM8//fTTXHHFFURGRvLFF18wfPhw9u3bx8iRI4vcV1ZWFllZWZ7Hhw4d8llukTJjWfDZZzBpEnz99Ynne/aEf/wDLrvMXLYg1AZ7qoLp2FfhvQnswJ7KIMpgLhHxc1YZGzVqlIXd613ksnLlynzvSUtLsypUqGB98MEHJe5/8uTJVvXq1U8rQ1pa2hkdm4hP5OVZ1nvvWVarVpZll0+WVbGiZQ0YYFlr15pOFxI+syyrqmVZWJbVyrKsby3LyjOaSERKIy0trdx+zzssyyrTU/v79u1j3759xW7TuHFjKp0098zTTz/N1KlT2bFjB+Hh4cW+97vvvuOSSy4hPT2dunXrFrrNqT1OO3bsICEhgbS0NBo0aFCKoxHxsa1b7QksP/vMflytmj2m6cEHQX9Wy1UK9qm7dNfjc4FBwO1AjKlQIuKV7du3Ex8fXy6/58v8VF1MTAwxMd7/M2NZFjNmzOD2228vsWgCSElJoVKlSkRHRxe5jdPpxOl0eh5nZmZ6nUekXOTmwtSp9mDvI0cgIgIee8weBF7Mn23xnTbAcmA08C7wMzAcGAHcgH0fvM740cBQETHC+BinL7/8ks2bN3PHHXcUeO3jjz8mPT2dxMREIiMjWbp0KU888QR33nlnvsJIJKD8+CMMHgzu+couuQReew3OPddsLqEh8AbwIvYVd//BHkQ+x7WchV1AJQGF93eLSLAz/p+n6dOn07FjR84t5JdGeHg4r7zyComJiZx33nm89NJLjB07lueff95AUpEz9Ndf8Pjj0K6dXTRVrw7TptkDwVU0+ZXqwN3AamAV9uDxatiTaT4GNMC+kfDn2FfliUjoKPMxTv6oPM99ihQqNRV697bnZQK4/nr7VF39+kZjifcOY09j8B/gh5OebwTcDzyIH/xPVCRElefvef09FykP999vF0316sHcufaioimgVAUGAsnAT9jFUjSwFXss1H+MJROR8qTCSaQ8rFtntwsW2L1NEtBaAy8BO4EnXM/9w/VYRIKbCicRXzt40F4Azj7bbBYpU5HAGKAdkAk8YDaOiJQDFU4ivvbHH3Zbty5UrWo2i5S5MOzTdGHAB8B8s3FExMdUOIn42oYNdnvWWWZziM9cgD3OCWAI8C1w3FgaEfElFU4ivvLbb/B//2cvAC1amM0jPjUKaAJsBy7Dnm28N/a8UBr7JBI8VDiJlLWff4bbboNzzoGZM+1Zwrt1gyeeKPGtErgqA58BfYGaQAb2qbs7gPrA+dhzQH0N5BjKKCJnToWTSFlZtw769IGWLWH2bMjLg5494YcfYOFCnaoLAS2Ad4A92NMWPAVcBDiwpzB4Fvu2LTHYE2j+B9hlIqiInDbjt1wRCQpbtsBFF8GxY/bj666z70PXtq3JVGJIGNDBtYwB9gILsWcaXwjsA+a6lnDgPmAkUMNEWBEpFfU4iZSFatWgouv/IcOGwbx5KprEozZwG/AWkM6Jmwm3wz5tNwX7PngvAtlGEoqIt1Q4iZSFWrXAfQ/Ff/0LfvnFbB7xW2FAe+zB5Cuxe6FaAQeBh4CW2D1RQX8vLJEApcJJpKwMHgzdu0NWFgwYAMd1QbqUrDuQArwG1AU2YY9/ugxYYTCXiBROhZNIWXE44PXXISoKVqyA554znUgCREVgMPAb8CT2jOTLgL8B/YAtxpKJyKlUOImUpQYNYPRoe33UKNi/32gcCSzVgLHARiAJ+2q8d4Dm2DcY1glgEfNUOImUpR9/hGeftdfr14fISLN5JCA1AGYAq4ErsAeQzwASgBuwB5eLiBkqnETKytKlcNllkJ4OrVvDsmVQubLpVBLA2gBLsOeEug57wPg87GkOumAPLNcgcpHypcJJpCwsXgw9ekBmpl08ffON3eMkUgY6YBdMG7BP4VUEvgKuwr5Cb4+pYCIhSIWTSFl48knIzrYnvly4EKKjTSeSIHQu9im7P7CnLqgCrMKeZFNEyocKJ5EztWEDLF8OYWEwbRpUqmQ6kQS5eOxJMxe4Hr8ObDMXRySkqHASOVMzZthtz55Qt67ZLBJSOmGPdcoGxhvOIhIqVDiJnImcHHjzTXt94ECzWSQkuU/TTUfzPYmUBxVOImdiwQLYvRvq1IG//910GglBlwJXAseBR4Fcs3FEgp4KJ5HT9eef8OCD9npSEoSHGwwjoexp7Mky38O+0k7Tror4jgonkdNhWXD33bB1KzRtCiNHmk4kIawD8C5QGVgMXAT8aDSRSPBS4SRyOmbNgnffhYoV4Z13oFo104kkxPXGniizKbAZSATeN5pIJDipcBI5He7bqowaBe3bm80i4nIesBLoBvwF3AL8ajSRSPBR4SRyOty3UmnVymwOkVPUBD4FemAPFH/CbByRoKPCSeR0tGhht7/q//Pif8KA57AHjH8IrDAbRySoqHASOR3nnGO3KpzET7UCbnetP4ZuBixSVlQ4iZwO9ThJABgDRABLgUWGs4gECxVOIqfD3eO0bh1kZZnNIlKERsBQ1/oUk0FEgohPC6dx48bRsWNHKleuTHQRd4vftm0b11xzDVWqVCEmJob777+f7OzsfNusXbuWTp06ERkZSf369Rk7diyWpY5nMahVK4iLg8xMe/ZwET81wNV+j2YVFykLPi2csrOz6d27N/fcc0+hr+fm5tKzZ0+OHDnCsmXLmDNnDh9++CHDhw/3bJOZmUnXrl2Ji4tj5cqVTJ06lcmTJzNliv7/JAaFhcFtt9nr//2v2SwixWgJVAMOA+sNZxEJBhV9ufMxY+zbT86cObPQ1xctWsSGDRtIS0sjLi4OgOeff56kpCTGjRtH9erVmT17NseOHWPmzJk4nU5atWrFxo0bmTJlCsOGDcPhcPjyEESKdvvtMGmS3eO0bx/ExJhOJFJAGNAe+AJ7gszzzMYRCXhGxzglJyfTqlUrT9EE0L17d7Kysli9erVnm06dOuF0OvNts3PnTrZs2VLekUVOaNkS2raF48dhzhzTaUSKlOhqk42mEAkORgun9PR06tatm++5GjVqEBERQXp6epHbuB+7tzlVVlYWmZmZnuXQoUM+SC8C9O5tt599ZjaHSDE6utr3Af1JFTkzpS6cRo8ejcPhKHZZtWqV1/sr7FSbZVn5nj91G/fA8KJO002YMIGoqCjPkpCQ4HUekVL5/Xe7PessszlEitHVtRwFrgH+YzaOSEAr9RinoUOH0rdv32K3ady4sVf7io2NZfny5fmeO3jwIDk5OZ5epdjY2AI9S3v27AEo0BPlNmLECIYNG+Z5vGPHDhVPUvYs60RP01VXmc0iUoyKwCfAncAsV7sVeBp7dnER8V6pC6eYmBhiymgQbGJiIuPGjWPXrl3Uq1cPsAeMO51O2rZt69nm8ccfJzs7m4iICM82cXFxRRZoTqcz35iozMzMMskr4mFZMG0abN8OlSpB586mE4kUKwKYgT2301hgHLAb+Dea0E+kNHz692Xbtm2kpqaybds2cnNzSU1NJTU1lcOHDwPQrVs3EhIS6N+/PykpKXzxxRc8/PDDDB48mOrVqwPQr18/nE4nSUlJrFu3jnnz5jF+/HhdUSfmHDgAN90E995rP05KgshIo5FEvOHAnk18OvY//q8DQ9DtWERKxfKhAQMGWNh/J/MtS5cu9WyzdetWq2fPnlZkZKRVs2ZNa+jQodaxY8fy7eenn36yLr30UsvpdFqxsbHW6NGjrby8PK9zpKWlWYCVlpZWVocmoeqLLyyrfn3LAssKD7esSZMsKzfXdCqRUnvLsiyHZVlYlnWfZVne/4sq4n/K8/e8w7KCfwru7du3Ex8fT1paGg0aNDAdRwJRdjY8+SQ895x9mq55c3j7bXs6ApEANRMYiP0/2mHAZDTmSQJTef6e9+kEmCJB4ddf4dZbwTW3GHfeCVOmQJUqZnOJnKEkIAd7sPgU7HFQ41HxJFIcFU4ixfn0U3uupqNHoWZNeP11uP5606lEysxg7OJpCDARiAPuM5pIxL/pYgqRorz7Llx7rV00dekCP/2kokmC0r3As671kcAeg1lE/J0KJ5HC/PvfcMst9u1U+vWDhQuhfn3TqUR85mGgLZCJXTyJSOFUOImcauJEuPtuexD4PffAm29CeLjpVCI+VQF40bX+OpBqLImIf1PhJOJmWfDYYzBihP14xAj417+ggv6aSGi4BOiDfZXdg2h+J5HC6DeCCNgzgN94IzzrGukxaRKMHw+aZFVCzCSgEvA1MALIMhtHxO+ocJLQdvw4vPACnHsuzJsHYWHw2mvwyCOmk4kY0RAY7Vp/FmgHeH/bdpHgp8JJQtcPP0C7djBsGBw+DImJsGYNDB5sOpmIUY8CHwB1gHVAB+Bx1PskAiqcJBRZFgwfDh07wo8/Qo0a8J//wLJlcN55ptOJ+IUbgfVAXyAXmAC0ATaZDCXiB1Q4Sej59lt75m/Lsm/Q++uvMGiQBoGLnCIGeAeYC9QFfsaebTzPYCYR0/SbQkLPG2/Y7cCBMGMG1K5tNo+In7seWAFUAb4D/ms2johRKpwktGRmwvvv2+uDBpnNIhJAGgKjXOuPAAcMZhExSYWThJY5c+xbqJx7LnToYDqNSEB5EEgA9mEPFhcJRSqcJLRMn263AwdqjiaRUgoHXnWtvwb8YDCLiCkqnCR0zJ8PK1bYt0/p3990GpGAdBlwO/as4rcBGWbjiJQ7FU4SGg4fhqFD7fVhw6BuXbN5RALYC0Aj4HdgELo1i4QWFU4SGkaPhrQ0aNwYnnrKdBqRgFYTeBf71N0HwL/MxhEpVyqcJPilpsKLL9rrr7wClSubTCMSFP6GfV87gGHASoNZRMqTCicJbnl5cNddkJsLvXvDVVeZTiQSNB7AnuMpB7gZ+NNoGpHyocJJgtvHH9sDwqtVO9HrJCJlwgG8ATQBtgBjjKYRKR8qnCS4TZlit0OGQFyc2SwiQSgamOZafxnYaC6KSLlQ4STBa9Uq+OYbqFjxxBV1IlLmugFXAceBRw1nEfE1FU4SvF57zW779IH69c1mEQlyk4Ew4CNgrdkoIj6lwkmCV3Ky3d58s9kcIiEgAbjCtb7MZBARH1PhJMHpr7/g55/t9bZtzWYRCRHtXa2mJpBgpsJJgtPatfYUBLVra1C4SDm5yNWuMJpCxLdUOElwSkmx2wsv1M18RcqJu3D6GThsMoiID6lwkuC0Zo3dtmljNodICKkHNADygDWGs4j4igonCU7uwknjm0TK1QWudp3JECI+pMJJgk92Nvz0k71+4YVms4iEmARXu95oChHf8WnhNG7cODp27EjlypWJjo4u8PqPP/7ILbfcQnx8PJGRkZx77rm89NJL+bbZsmULDoejwPL555/7MroEsg0b7OIpOhqaNDGdRiSktHS1G4ymEPGdir7ceXZ2Nr179yYxMZHp06cXeH316tXUrl2bt956i/j4eL7//nvuvPNOwsLCGHrKTM9LliyhZcuWnsc1a9b0ZXQJZKtX260GhouUO/U4SbDzaeE0Zox9y8eZM2cW+vrAgQPzPW7atCnJycnMnTu3QOFUq1YtYmNjfZJTgkxqqt1qYLhIuTvX1e4F9gExBrOI+ILfjXHKyMgotDepV69e1KlTh4svvpgPPvig2H1kZWWRmZnpWQ4dOuSruOKP9u612/h4szlEQlAV7Bv/gl04iQQbvyqckpOTee+997jrrrs8z1WtWpUpU6bwwQcf8Omnn3LFFVfQp08f3nrrrSL3M2HCBKKiojxLQkJCkdtKEDrsmkGmalWzOURCVHVXm2k0hYhvlLpwGj16dKGDtU9eVq1aVeog69ev59prr+Wpp56ia9eunudjYmJ46KGHaN++Pe3atWPs2LHce++9TJo0qch9jRgxgoyMDM+yYYOGKYYUFU4iRkW52gyjKUR8o9RjnIYOHUrfvn2L3aZx48al2ueGDRu4/PLLGTx4MCNHjixx+w4dOvD6668X+brT6cTpdHoeZ2bq/z0h5eBBu42KKn47EfGJOq52p9EUIr5R6sIpJiaGmJiyG+63fv16Lr/8cgYMGMC4ceO8ek9KSgr16tUrswwSZNLT7VZ/RkSMaA58AfxqOoiID/j0qrpt27Zx4MABtm3bRm5uLqmuq52aNWtG1apVWb9+PV26dKFbt24MGzaMdNcvvLCwMGrXrg3ArFmzCA8Pp02bNlSoUIGPP/6Yf/7znzz77LO+jC6B6vjxE4PDdRWmiBEtXK0KJwlGPi2cnnrqKWbNmuV53MZ1efjSpUvp3Lkz77//Pnv37mX27NnMnj3bs12jRo3YsmWL5/EzzzzD1q1bCQsLo3nz5rzxxhvcdtttvowugWrvXrAsqFAByrBnVES8p8JJgpnDsizLdAhf2759O/Hx8aSlpdGgQQPTccSXVq6E9u3t3qZdu0ynEQlJm4GmQAT2lXXO4jcXOWPl+Xver6YjEDkjlgVPPWWvn3ee2SwiIawhEAtkA6MMZxEpayqcJHi88gp8/jlUqgQvvmg6jUjICgNeca1PApYZzCJS1lQ4SXD4+Wd4+GF7fdIkOPfc4rcXEZ+6HkgCLOB2QPdvkGChwkkCX3Y23HYbHDsG3brBkCGmE4kI8BLQCHvM00OGs4iUFRVOEvjGj4c1a6BmTZgxw76iTkSMqw7MAhzAdGCh2TgiZUK/YSSwHT9uj20CmDoV4uLM5hGRfDoB7ruPvm8yiEgZUeEkge3rr+25m2rWhN69TacRkUJc5mo1r5MEAxVOEtjed/0f9vrrITzcbBYRKZQmxJRgosJJAlduLsybZ6+rt0nEb7XA/mWzF1hnOIvImVLhJIHrm29gzx6oUQMuv9x0GhEpQhXgBte67jIqgU6FkwSuDz6w2+uu02k6ET83wtW+gz09gUigUuEkgSk3F+bOtdd1mk7E710IdANygecMZxE5EyqcJDB9/z2kp0N0NFxxhek0IuIFd6/TG0C6ySAiZ0CFkwSmr76y2+7dISLCaBQR8U4nIBHIAqYYziJyulQ4SWCqUcNus7PN5hARrzmAx13rrwD7DGYROV0qnCQwNWpkt9u2mc0hIqXSE2gDHAFeNBtF5LSocJLA1LCh3W7dajaHiJSKAxjpWp8K/GkuishpUeEkgcnd47RvHxw9ajaLiJTKdUArIBP4p9koIqWmwkkC048/nlg/dMhcDhEptQqcGOs03WQQkdOgwkkCz4YN9qSXADffDHXrGo0jIqXnnus/DdAlHhJIVDhJYNm1C/7+d/jzT+jYEWbONJ1IRE5DHcAJWMB2w1lESkOFkwSOw4fh6qvtAeFnnw3/+x9ERppOJSKnwQG4LvFA18ZKIFHhJIEhJwf69IE1ayAmBj77zG5FJGC5LvFA18ZKIFHhJP7vr7/gxhvh00+hUiX4+GM46yzTqUTkDLl7nNKMphApnYqmA4gUKyMDevWCb76xi6YPPoAOHUynEpEyUMfV7jWaQqR0VDiJ/9qzB3r0gJQUqF7d7mm67DLTqUSkjNRytfuNphApHRVO4r9uuMEumurUgc8/hzZtTCcSkTLkLpzU4ySBRIWT+Ke//oLvvrPXv/wSWrY0m0dEyty5rnYFcBz9QpLAoMHh4p+2bLHb6tUhIcFoFBHxjYuAGtj3q1thNoqI11Q4iX/6/Xe7bdoUHA6zWUTEJ8KAbq71z00GESkFFU7in/74w2417YBIUOvhalU4SaDwaeE0btw4OnbsSOXKlYmOji50G4fDUWCZNm1avm3Wrl1Lp06diIyMpH79+owdOxbLsnwZXUzKzYVFi+z1pk3NZhERn+rualcB+0wGEfGST8fiZWdn07t3bxITE5k+veh7YM+YMYMePXp4HkdFRXnWMzMz6dq1K126dGHlypVs3LiRpKQkqlSpwvDhw30ZX0zIyoJbb4UFC6BCBbjmGtOJRMSH6gEJwAYgGdDfePF3Pi2cxowZA8DMEm7EGh0dTWxsbKGvzZ49m2PHjjFz5kycTietWrVi48aNTJkyhWHDhuHQ+JfgceSIPQXBokUQEQHvvAOXXmo6lYj4WAfswukHVDiJ//OLMU5Dhw4lJiaGiy66iGnTppGXl+d5LTk5mU6dOuF0Oj3Pde/enZ07d7LFfeXVKbKyssjMzPQshw4d8vUhyJn680/o1s0umipXhk8+sYsoEQl67nsBJBtNIeId44XT008/zfvvv8+SJUvo27cvw4cPZ/z48Z7X09PTqVu3br73uB+np6cXus8JEyYQFRXlWRJ0Obt/270bOneG77+H6GhYsgS6djWdSkTKibtwWgHkmgwi4oVSF06jR48udED3ycuqVau83t/IkSNJTEzkggsuYPjw4YwdO5bnnnsu3zanno5zDwwv6jTdiBEjyMjI8CwbNmwo5VFKucnOtoukH3+EunXh668hMdF0KhEpRwlAVeAIsN5wFpGSlHqM09ChQ+nbt2+x2zRu3Ph089ChQwcyMzPZvXs3devWJTY2tkDP0p49ewAK9ES5OZ3OfKf2MjMzTzuP+NjLL8PatfZtVZYtg2bNTCcSkXIWBsQDPwMHDGcRKUmpC6eYmBhiYmJ8kQWAlJQUKlWq5Jm+IDExkccff5zs7GwiIiIAWLRoEXFxcWdUoIkf2LMHXBcQMGGCiiaREOYe2Wp8/IhICXx6Vd22bds4cOAA27ZtIzc3l9TUVACaNWtG1apV+fjjj0lPTycxMZHIyEiWLl3KE088wZ133unpMerXrx9jxowhKSmJxx9/nN9++43x48fz1FNP6Yq6QPfkk5CZCRdeCElJptOIiEHusU1hRlOIlMynhdNTTz3FrFmzPI/buO5uv3TpUjp37kx4eDivvPIKw4YNIy8vj6ZNmzJ27FiGDBnieU9UVBSLFy9myJAhtGvXjho1ajBs2DCGDRvmy+jia6mp8J//2OsvvmjP2SQiIUs9ThIoHFYITMG9fft24uPjSUtLo0GDBqbjCED37vbUAzffDO++azqNiBjWGNgKLAfam40iAag8f8+ruJfyt2cPLF5sr5809YSIhK7qrvag0RQiJVPhJOXvk0/AsuyxTbqJr4hg9zgBbDGYQcQbKpyk/P3vf3Z77bVmc4iI32jsarcYzCDiDRVOUr6OHj1xmk6Fk4i4NHK1W0yGEPGCCicpX198AX/9BY0awXnnmU4jIn6isavdbDKEiBdUOEn52r7dbtu2Bc3DJSIuLV3tj0CWySAiJVDhJGaoaBKRk7QA6gLHsKckEPFXKpykfB0/bjqBiPghB9DZtb7UYA6RkqhwkvKzeDE89ZS9Xq+e2Swi4neudLVzODGTuIi/UeEkvmdZ9m1VevSAP/+EDh1g5EjTqUTEz9yMPRHmL8DnhrOIFEWFk/hWVhYMHAgPPQR5efbNfJcuhbp1TScTET9THRjsWp9iMohIMVQ4ie+kp0OXLjBzpn0T3ylT4I03oFIl08lExE/dB4QBX2BfYSfib1Q4iW/8+iu0awfJyRAdDZ99Zvc66Wo6ESlGI+Am17p6ncQfqXAS33jnHdixA5o0gRUroFs304lEJEAMc7XvAhkmg4gUQoWT+EaDBnbbvDmcfbbZLCISUC4CErAnwpxnOIvIqVQ4iW80b263v/1mNoeIBBwH0M+1/rbJICKFUOEkvuHuZdqyBbKzjUYRkcBzi6v9Akg3GUTkFCqcxDdiY6FqVXsKgj/+MJ1GRAJMU6AD9kSY7xrOInIyFU7iG1OmwOHD9nqGhneKSOn1dbXzjaYQyU+Fk5StvDx45BF4+GH78bBh0L692UwiEpCucLXLgRyTQUROosJJyk5Ojj0z+OTJ9uNJk+D55zV3k4iclgQgGjiCJsMU/6HCScrGkSNw7bXw5psQFmbPFv7II6ZTiUgAqwBc7FpfZjKIyElUOMmZ++MPuOIKe3bwyEj43/9gwADTqUQkCFziar8zmkLkBBVOcvqOHIGRIyEhAZYvh5o14YsvoGdP08lEJEic72p/MZpC5AQVTlJ6lgVz5kCLFjBuHGRlwZVXwg8/QGKi6XQiEkQOuNo6RlOInFDRdAAJMGvXwpAh8O239uPGjeGFF+zxTRoELiJlLM3VNjCaQuQEFU7ivcOH4fLLYd8+qFwZRoyA4cPtcU0iIj6w09XWN5pC5AQVTuK9Vavsoik2FlasgPh404lEJMhpPIn4G/2ZFO/98IPdXnqpiiYRKRfVXO0hoylETlDhJN5bvtxu//Y3szlEJGRUdbUqnMRfqHAS71jWiR6nDh3MZhGRkKEeJ/E3Pi2cxo0bR8eOHalcuTLR0dEFXp85cyYOh6PQZc+ePQBs2bKl0Nc///xzX0aXU339NaSnQ8WKcOGFptOISIhwF06ZRlOInODTweHZ2dn07t2bxMREpk+fXuD1Pn360KNHj3zPJSUlcezYMerUyT9rx5IlS2jZsqXncc2aNX0TWgrasQP6uu5TftttuopORMpNbVe7x2gKkRN8WjiNGTMGsHuWChMZGUnkSb+E9+7dy5dffllokVWrVi1iY2N9klOKkZ0NN90Eu3dD69bw8sumE4lICHFPQ7Cz2K1Eyo9fjXH673//S+XKlbnpppsKvNarVy/q1KnDxRdfzAcffFDsfrKyssjMzPQshw7p7Phpe+ghe2xTdDTMmwdVqphOJCIhJM7V7gOyTAYRcfGrwumNN96gX79++XqhqlatypQpU/jggw/49NNPueKKK+jTpw9vvfVWkfuZMGECUVFRniUhIaE84gefWbPglVfs9bfegrPOMptHREJOTSDCtb7LZBARl1IXTqNHjy5yQLd7WbVqVamDJCcns2HDBu644458z8fExPDQQw/Rvn172rVrx9ixY7n33nuZNGlSkfsaMWIEGRkZnmXDhg2lzhPysrPhvvvs9VGjdONeETHCwYlep00mg4i4lHqM09ChQ+nrHihchMaNG5c6yOuvv84FF1xA27ZtS9y2Q4cOvP7660W+7nQ6cTqdnseZmboeo9Qsy77FCsDdd5vNIiIhrQswA3gduNJwFpFSF04xMTHExMSUaYjDhw/z3nvvMWHCBK+2T0lJoV69emWaQU7hdNqzg2/bBps327dZEREx4H7swukDYDu64a+Y5dOr6rZt28aBAwfYtm0bubm5pKamAtCsWTOqVq3q2e7dd9/l+PHj3HrrrQX2MWvWLMLDw2nTpg0VKlTg448/5p///CfPPvusL6MLQNOmduH0+++QmGg6jYiEqAuATsDXwL8A7/6LLeIbPi2cnnrqKWbNmuV53KZNGwCWLl1K586dPc9Pnz6dG264gRo1ahS6n2eeeYatW7cSFhZG8+bNeeONN7jtttt8GV3AHgz+1Vfwxx+mk4hIiHsQu3B6DXgSqGw0jYQynxZOM2fOLHIOp5N9//33Rb42YMAABgwYUIapxGvu03Nbt5rNISIh7xqgCbAZ+5Td7WbjSAjzq+kIxI/k5sJ779nrrVubzSIiIS8MuNG1vtJkEAl5KpykcPPmwW+/QY0aMGiQ6TQiIpznan8ymkJCnQonKciywH2F4333wUkD+UVETHH3fa8FLJNBJKSpcJKCliyBNWugcmW4/37TaUREADgX+5TdQXTvOjFHhZPkd/QoPPqovX7nnVCrltk8IiIuTqC5a32dySAS0lQ4yQl5eZCUBCkpdsH0yCOmE4mI5BPtao+ZDCEhTYWTnDB2LLz/PoSH24PD4+JKfo+ISDnKcbXhRlNIKFPhJLY5c2DMGHv9tdfg0kvN5hERKUS2q40wmkJCmQongeXL7VN0YJ+ec6+LiPgZ9TiJaSqcQl1uLtx8M2RlwTXXnJiGQETED7l7nFQ4iSkqnELdqlX2jXyjomD2bAgLM51IRKRI7nvUHTGaQkKZCqdQ99lndtu1K1SrZjaLiEgJYlztXqMpJJSpcAp17sLpqqvM5hAR8UJtV7vPaAoJZSqcQtnevbDSdbvMHj3MZhER8YK7x0mFk5iiwimUzZ9v35fu/PM1Z5OIBASdqhPTVDiFquxsGDfOXr/lFrNZRES8VNPVHjSaQkKZCqdQNX06bN4MdevC0KGm04iIeCXa1WaYDCEhTYVTKPrrL3j6aXv9ySehShWzeUREvBTtav80mEFCmwqnUPTFF7BrF9SvD4MHm04jIuI193/zDhtNIaFMhVMo+vxzu+3VCyJ0xycRCRzuKXrzjKaQUKbCKRS5CydNQSAiAcZdOOUaTSGhTIVTqNm0CX7/HcLDoUsX02lEREpFPU5imgqnULNggd1ecolusSIiAcf9S0s9TmKKCqdQsn07jB1rr/fqZTaLiMhpqOhqc4ymkFCmwilUHD8O/frBgQPQti3ce6/pRCIipVbJ1WYZTSGhTIVTqHjmGfj2W6haFebM0dV0IhKQ3IXTMaMpJJSpcAoFX399YsLLf/8bmjUzm0dE5DSpcBLTVDgFuz//hFtvhbw8SEqyT9eJiAQod+GUja6sEzNUOAW7N96AHTvsXqapU02nERE5I+EnrR83lkJCmQqnYGZZ8J//2OvDh9vjm0REAph10rp+gYkJPvtzt2XLFu644w6aNGlCZGQkZ511FqNGjSI7Ozvfdtu2beOaa66hSpUqxMTEcP/99xfYZu3atXTq1InIyEjq16/P2LFjsSwLKcF338Evv0DlyjpFJyJB4eTTcw5jKSSUVSx5k9Pzyy+/kJeXx7///W+aNWvGunXrGDx4MEeOHGHy5MkA5Obm0rNnT2rXrs2yZcvYv38/AwYMwLIsprpOK2VmZtK1a1e6dOnCypUr2bhxI0lJSVSpUoXhw4f7Kn5wcPc29ekD1aubzSIiUgbU4ySmOaxy7Lp57rnnePXVV/njjz8A+Oyzz7j66qtJS0sjLi4OgDlz5pCUlMSePXuoXr06r776KiNGjGD37t04nU4AJk6cyNSpU9m+fTsOR8n/59i+fTvx8fGkpaXRoEED3x2gP8nIgBo17NN1FSpAhw7287feqjmcRCRgbQUau9Z13kHcyvP3fLkW7BkZGdSsWdPzODk5mVatWnmKJoDu3buTlZXF6tWrPdt06tTJUzS5t9m5cydbtmwpt+wBZ98+u2gC+4q677+3l61bzeYSETkD20wHkJDns1N1p/r999+ZOnUqzz//vOe59PR06tatm2+7GjVqEBERQXp6umebxo0b59vG/Z709HSaNGlS4GdlZWWRlXViXtmMjAwAdu3aVSbHEhCcTvu+dDt35n++aVP71isiIgGoCTC1YkUOORxsz9GNV8Tm/v2emZmJZVlenY06XaUunEaPHs2YMWOK3WblypW0a9fO83jnzp306NGD3r17M2jQoHzbFnZwpx70qdu4zy4W9cFMmDCh0Izt27cvNreIiASOx00HEL/TsmVLMjIyqO7Dcb2lLpyGDh1K3759i93m5B6inTt30qVLFxITE3nttdfybRcbG8vy5cvzPXfw4EFycnI8vUqxsbGe3ie3PXv2ABTorXIbMWIEw4YN8zw+cOAATZo0Yd26dURFRRV/gCHo0KFDJCQksGHDBqpVq2Y6jl/SZ1Q8fT7F0+dTMn1GxdPnU7yMjAxatWrFli1bfP75lLpwiomJISYmxqttd+zYQZcuXWjbti0zZsygQoX8Q6oSExMZN24cu3btol69egAsWrQIp9NJ27ZtPds8/vjjZGdnE+G6v9qiRYuIi4srcArPzel05hsT5RYfH+/TKjRQZWZmAlC/fn19PkXQZ1Q8fT7F0+dTMn1GxdPnUzz3Z1KjRg2fnqYDHw4O37lzJ507dyY+Pp7Jkyezd+9e0tPT8/UedevWjYSEBPr3709KSgpffPEFDz/8MIMHD/Z8CP369cPpdJKUlMS6deuYN28e48ePZ9iwYT7/cERERERO5rPB4YsWLWLTpk1s2rSpwKWB7jFKYWFhLFiwgHvvvZeLL76YyMhI+vXr55nnCSAqKorFixczZMgQ2rVrR40aNRg2bFi+U3EiIiIi5cFnhVNSUhJJSUklbtewYUM++eSTYrdp3bo133zzzWlncTqdjBo1qtDTd6LPxxv6jIqnz6d4+nxKps+oePp8ileen0+5ToApIiIiEsg0Y72IiIiIl1Q4iYiIiHhJhZOIiIiIl1Q4iYiIiHgpqAunxo0b43A4CixDhgwxHc0vHD9+nJEjR9KkSRMiIyNp2rQpY8eOJS8vz3Q0v3Ho0CEefPBBGjVqRGRkJB07dmTlypWmYxnzzTffcM011xAXF4fD4eCjjz7K97plWYwePZq4uDgiIyPp3Lkz69evNxPWgJI+n7lz59K9e3diYmJwOBykpqYayWlKcZ9PTk4Ojz76KK1bt6ZKlSrExcVx++23s/PU+20GuZL+DI0ePZpzzjmHKlWqUKNGDa688soCd+AIZiV9Pie76667cDgcvPjii2WaIagLp5UrV7Jr1y7PsnjxYgB69+5tOJl/ePbZZ5k2bRovv/wyP//8M5MmTeK5555j6tSppqP5jUGDBrF48WLefPNN1q5dS7du3bjyyivZsWOH6WhGHDlyhPPPP5+XX3650NcnTZrElClTePnll1m5ciWxsbF07dqVQ4cOlXNSM0r6fI4cOcLFF1/MxIkTyzmZfyju8zl69Chr1qzhySefZM2aNcydO5eNGzf+P3t3HhdVuf8B/DNsA6IM6iiLsqi44Z7mFa0QTbBMbVWySHJpkyxRy6UUKdRyvVnm7acXvWZp5nK1ui6UVibu4FqpBbKLK7gkIDy/Pw4zOcIMB2E4s3zer9d5nZkzzxy+zxyST+c88xwMGTJEgUqVU9XvUJs2bfDxxx/j+PHj2LNnDwIDAxEeHo4LFy7UcaXKqOrz0dm8eTP2798PX1/f2i9C2JE33nhDtGrVSpSVlSldikUYNGiQGDVqlMG2J598Ujz//PMKVWRZbt68KRwdHcU333xjsL1Lly5i+vTpClVlOQCITZs26Z+XlZUJb29vMXfuXP22W7duCY1GI5YtW6ZAhcq6+/O5U1pamgAgUlJS6rQmS2Lq89E5cOCAACDOnTtXN0VZGDmfUUFBgQAgkpKS6qYoC2Ls88nKyhLNmjUTJ06cEAEBAWLRokW1+nNt+ozTnYqLi/H5559j1KhRvFVLuQceeADff/89Tp8+DQA4evQo9uzZg0cffVThyizD7du3UVpaCldXV4Ptbm5u2LNnj0JVWa60tDTk5eUhPDxcv02tViM0NBR79+5VsDKyVgUFBVCpVPD09FS6FItUXFyMzz77DBqNBl26dFG6HItQVlaGqKgoTJ48GR06dDDLzzDbzOGWZvPmzbh69aqs2cztxdtvv42CggK0a9cOjo6OKC0tRUJCAp599lmlS7MIDRo0QEhICN577z20b98eXl5e+PLLL7F//360bt1a6fIsju4+lF5eXgbbvby8cO7cOSVKIit269YtTJkyBSNGjOBNbe/yzTffIDIyEjdv3oSPjw927twJrVardFkW4YMPPoCTkxPGjx9vtp9hN2ecVqxYgUceecQ81zut1Lp16/D555/jiy++wJEjR7Bq1SrMnz8fq1atUro0i7F69WoIIdCsWTOo1Wp89NFHGDFiBBwdHZUuzWLdfUZXCMGzvFQtJSUliIyMRFlZGZYuXap0ORYnLCwMqamp2Lt3LwYOHIhhw4YhPz9f6bIUd/jwYfzzn//EypUrzfpvjl0Ep3PnziEpKQljxoxRuhSLMnnyZEyZMgWRkZHo1KkToqKiMGHCBMyZM0fp0ixGq1at8OOPP+L69evIzMzEgQMHUFJSghYtWihdmsXx9vYG8PeZJ538/PwKZ6GIjCkpKcGwYcOQlpaGnTt38mxTJdzd3REUFIRevXphxYoVcHJywooVK5QuS3E///wz8vPz4e/vDycnJzg5OeHcuXOYOHEiAgMDa+3n2EVwSkxMRNOmTTFo0CClS7EoN2/ehIOD4a+Ao6MjpyOohLu7O3x8fHDlyhVs374dQ4cOVboki9OiRQt4e3vrv70KSGMwfvzxR/Tu3VvBysha6ELTmTNnkJSUhMaNGytdklUQQqCoqEjpMhQXFRWFY8eOITU1Vb/4+vpi8uTJ2L59e639HJsf41RWVobExESMHDkSTk42391qGTx4MBISEuDv748OHTogJSUFCxcuxKhRo5QuzWJs374dQgi0bdsWZ8+exeTJk9G2bVu8+OKLSpemiOvXr+Ps2bP652lpaUhNTUWjRo3g7++PN998E7Nnz0br1q3RunVrzJ49G/Xq1cOIESMUrLruVPX5XL58GRkZGfq5iX7//XcA0tk63Rk7W2bq8/H19cXTTz+NI0eO4JtvvkFpaan+7GWjRo3g4uKiVNl1ytRn1LhxYyQkJGDIkCHw8fHBpUuXsHTpUmRlZdnNNDtV/Td2d9h2dnaGt7c32rZtW3tF1Op39CzQ9u3bBQDx+++/K12KxSksLBRvvPGG8Pf3F66urqJly5Zi+vTpoqioSOnSLMa6detEy5YthYuLi/D29hbjxo0TV69eVbosxezatUsAqLCMHDlSCCFNSTBz5kzh7e0t1Gq1eOihh8Tx48eVLboOVfX5JCYmVvr6zJkzFa27rpj6fHRTNFS27Nq1S+nS64ypz+ivv/4STzzxhPD19RUuLi7Cx8dHDBkyRBw4cEDpsutMVf+N3c0c0xGohBCi9mIYERERke2yizFORERERLWBwYmIiIhIJgYnIiIiIpkYnIiIiIhkYnAiIiIikonBiYiIiEgmBiciIiIimRiciIiIiGRicCIiIiKSicGJiIiISCYGJyIiIiKZGJyIiIiIZGJwIiIiIpKJwYmIiIhIJgYnIiIiIpkYnIiIiIhkYnAiIiIikonBiYiIiEgmqwtOn376KTp37gwPDw94eHggJCQE//vf//Svb9y4EREREdBqtVCpVEhNTZW13w0bNiA4OBhqtRrBwcHYtGmTmXpw78zR95UrV0KlUlVYbt26ZcaeVJ+pvpeUlODtt99Gp06d4O7uDl9fX7zwwgvIycmpcr/Wftzvte/WctyBqn/v4+Li0K5dO7i7u6Nhw4Z4+OGHsX///ir3a+3HHri3vlvLsa+q73d6+eWXoVKpsHjx4ir3aw3HHTBP/23l2EdHR1foQ69evarcb20de6sLTs2bN8fcuXNx6NAhHDp0CP369cPQoUNx8uRJAMCNGzfQp08fzJ07V/Y+k5OTMXz4cERFReHo0aOIiorCsGHDZP3jW5fM0XcA8PDwQG5ursHi6upqji7cM1N9v3nzJo4cOYJ3330XR44cwcaNG3H69GkMGTLE5D5t4bjfa98B6zjuQNW/923atMHHH3+M48ePY8+ePQgMDER4eDguXLhgdJ+2cOyBe+s7YB3Hvqq+62zevBn79++Hr69vlfu0luMOmKf/gO0c+4EDBxr04bvvvjO5z1o99sIGNGzYUCxfvtxgW1pamgAgUlJSqnz/sGHDxMCBAw22RUREiMjIyNos0yxq2vfExESh0WjMU5yZVdZ3nQMHDggA4ty5c0bfb2vHXUdO3635uAthuv8FBQUCgEhKSjL6fls99nL6bs3H/u6+Z2VliWbNmokTJ06IgIAAsWjRIpPvt+bjLkTN+28rx37kyJFi6NCh1Xp/bR57qzvjdKfS0lKsXbsWN27cQEhIyD3vJzk5GeHh4QbbIiIisHfv3pqWaDa11XcAuH79OgICAtC8eXM89thjSElJqaUqzUNO3wsKCqBSqeDp6Wl0P7Z63OX0HbC+4w5U3f/i4mJ89tln0Gg06NKli9H92OKxl9t3wPqOfWV9LysrQ1RUFCZPnowOHTrI2o81Hneg9voP2MaxB4Ddu3ejadOmaNOmDcaOHYv8/HyT+6nVY1/tqGUBjh07Jtzd3YWjo6PQaDTi22+/rdCmOmddnJ2dxZo1awy2rVmzRri4uNRWybWmtvuenJwsVq9eLVJTU8VPP/0knnrqKeHm5iZOnz5thuprRk7fhRDir7/+Et27dxfPPfecyf3Z2nEXQn7frem4C1F1/7du3Src3d2FSqUSvr6+4sCBAyb3Z0vHvrp9t6Zjb6rvs2fPFgMGDBBlZWVCCCHrjIs1HXchar//tnLs165dK7755htx/PhxsWXLFtGlSxfRoUMHcevWLaP7q81jb5XBqaioSJw5c0YcPHhQTJkyRWi1WnHy5EmDNtUNTl988YXBts8//1yo1eraLLtW1Hbf71ZaWiq6dOkiXn/99VqquPbI6XtxcbEYOnSo6NatmygoKDC5P1s77tXp+90s+bgLUXX/r1+/Ls6cOSOSk5PFqFGjRGBgoDh//rzR/dnSsa9u3+9mycfeWN8PHTokvLy8RHZ2tr6t3OBkLcddiNrv/92s8dhXJicnRzg7O4sNGzYY3V9tHnurDE5369+/v3jppZcMtlUnPPj5+YmFCxcabFu4cKHw9/evzTLNoqZ9r8yYMWMqXAu2RHf3vbi4WDz++OOic+fO4uLFi1W+35aOe3X7XhlrOe5CVP57f6egoCAxe/Zso6/b0rG/W1V9r4y1HHtd3xctWiRUKpVwdHTULwCEg4ODCAgIMPp+az7uQtS8/5WxtmNvTFBQkJg7d67R12vz2Fv1GCcdIQSKioru+f0hISHYuXOnwbYdO3agd+/eNS3N7Gra98r2l5qaCh8fn1rbp7nc2feSkhIMGzYMZ86cQVJSEho3blzl+23luN9L3yvbn7Ucd6Dq3/uqXreVY38vr1fW3lqOva5vUVFROHbsGFJTU/WLr68vJk+ejO3btxt9vzUfd6Dm/a9sf9Z27Ctz6dIlZGZmmuxHrR77akcthU2dOlX89NNPIi0tTRw7dkxMmzZNODg4iB07dgghhLh06ZJISUkR3377rQAg1q5dK1JSUkRubq5+H1FRUWLKlCn657/88otwdHQUc+fOFb/++quYO3eucHJyEvv27avz/plijr7HxcWJbdu2iT/++EOkpKSIF198UTg5OYn9+/fXef9MMdX3kpISMWTIENG8eXORmpoqcnNz9UtRUZF+H7Z43O+179Zy3IUw3f/r16+LqVOniuTkZJGeni4OHz4sRo8eLdRqtThx4oR+H7Z47O+179Zy7Kv69+5ulV2qstbjLoR5+m8Lx/7atWti4sSJYu/evSItLU3s2rVLhISEiGbNmonCwkL9Psx57K0uOI0aNUoEBAQIFxcX0aRJE9G/f3+DX6TExEQBoMIyc+ZMfZvQ0FAxcuRIg/2uX79etG3bVjg7O4t27dqZvFaqFHP0/c033xT+/v76fYaHh4u9e/fWYa/kMdV33aXJypZdu3bp92GLx/1e+24tx10I0/3/66+/xBNPPCF8fX2Fi4uL8PHxEUOGDKkwQNoWj/299t1ajn1V/97drbLgYK3HXQjz9N8Wjv3NmzdFeHi4aNKkiXB2dhb+/v5i5MiRIiMjw2Af5jz2KiGEqP55KiIiIiL7YxNjnIiIiIjqAoMTERERkUwMTkREREQyMTgRERERycTgRERERCQTgxMRERGRTHYRnIqKihAXF1erM2xbC3vuO2Df/Wff7bPvgH33n323z74Dddd/q5nHaenSpZg3bx5yc3PRoUMHLF68GA8++KCs9xYWFkKj0aCgoAAeHh5mrtSy2HPfAfvuP/tun30H7Lv/7Lt99h2ou/5bxRmndevW4c0338T06dORkpKCBx98EI888ggyMjKULo2IiIjsiFUEp4ULF2L06NEYM2YM2rdvj8WLF8PPzw+ffvqp0qURERGRHXFSuoCqFBcX4/Dhw5gyZYrB9vDwcOzdu7fS9xQVFRlc47x8+TIAIDMzExqNxnzFWqBr164BALKzs1FYWKhwNXXPnvvPvttn3wH77j/7bp99Lysrwx9//AEAMPsIpHu6w10dys7OFgDEL7/8YrA9ISFBtGnTptL3zJw50+iNT7lw4cKFCxcutrvk5+ebNZdY/BknHZVKZfBcCFFhm87UqVMRGxurf56ZmYmOHTviwIED8PHxMWudREREVLdyc3PRs2dPnDx5Elqt1qw/y+KDk1arhaOjI/Ly8gy25+fnw8vLq9L3qNVqqNVq/XPd5TkfHx80b97cfMUSERGRYjw8PIyeVKktFj843MXFBd27d8fOnTsNtu/cuRO9e/dWqCoiIiKyRxZ/xgkAYmNjERUVhR49eiAkJASfffYZMjIy8MorryhdGhEREdkRqwhOw4cPx6VLlxAfH4/c3Fx07NgR3333HQICApQujYiIiOyIVQQnAHjttdfw2muvKV0GERER2TGLH+NEti0/Px8vv/wy/P39oVar4e3tjYiICCQnJ+vbqFQqbN68uVZ+Xnp6OlQqFVJTU0222717N1QqFa5evVrhta5duyIuLk7fxtSycuVKAMCGDRvQt29faDQa1K9fH507d0Z8fLx+jjE5Nm7ciAEDBqBJkybw8PBASEgItm/fXqHdhg0bEBwcDLVajeDgYGzatMng9Tlz5uD+++9HgwYN0LRpUzz++OP4/fff9a+XlJTg7bffRqdOneDu7g5fX1+88MILyMnJqbLGK1euICoqChqNBhqNBlFRURU+wzfeeAPdu3eHWq1G165dZff/xx9/RPfu3eHq6oqWLVti2bJlBq+fPHkSTz31FAIDA6FSqbB48eIq93nr1i1ER0ejU6dOcHJywuOPP16hjbHj/Ntvv8mqWwiBRx55pMLvcXp6OkaPHo0WLVrAzc0NrVq1wsyZM1FcXFzlPqs6xoB0m6oWLVrA1dUV3bt3x88//yyrXiIyjcGJFPXUU0/h6NGjWLVqFU6fPo0tW7agb9++1QoUcsn5g1QdvXv3Rm5urn4ZNmwYBg4caLBt+PDhmD59OoYPH477778f//vf/3DixAksWLAAR48exerVq2X/vJ9++gkDBgzAd999h8OHDyMsLAyDBw9GSkqKvk1ycjKGDx+OqKgoHD16FFFRURg2bBj279+vb/Pjjz9i3Lhx2LdvH3bu3Inbt28jPDwcN27cAADcvHkTR44cwbvvvosjR45g48aNOH36NIYMGVJljSNGjEBqaiq2bduGbdu2ITU1FVFRUQZthBAYNWoUhg8fLrvvaWlpePTRR/Hggw8iJSUF06ZNw/jx47FhwwZ9m5s3b6Jly5aYO3cuvL29Ze23tLQUbm5uGD9+PB5++GGTbX///XeDY9u6dWtZP2Px4sWVfsvnt99+Q1lZGf71r3/h5MmTWLRoEZYtW4Zp06aZ3J+cY8zbVBGZkVlnibIQmZmZAoDIzMxUuhS6w5UrVwQAsXv3bqNtAgICDCY2CwgIEEIIcfbsWTFkyBDRtGlT4e7uLnr06CF27txZ4b3vvfeeGDlypPDw8BAvvPBChYnSQkNDK/25u3btEgDElStXKrzWpUsXMXPmzArbR44cKYYOHWqwbf/+/QKAWLx4sdHPoCaCg4PFrFmz9M+HDRsmBg4caNAmIiJCREZGGt1Hfn6+ACB+/PFHo20OHDggAIhz584ZbXPq1CkBQOzbt0+/LTk5WQAQv/32W4X2M2fOFF26dDG6vzu99dZbol27dgbbXn75ZdGrV69K2wcEBIhFixbJ2rdOZcdPCNO/C1VJTU0VzZs3F7m5uQKA2LRpk8n2H374oWjRooXJNnKOcc+ePcUrr7xi0KZdu3ZiypQp1esAkZWoy7/zPONEiqlfvz7q16+PzZs3G9wi504HDx4EACQmJiI3N1f//Pr163j00UeRlJSElJQUREREYPDgwRX+j3revHno2LEjDh8+jHfffRcHDhwAACQlJSE3NxcbN240Yw+BNWvWoH79+kbH53l6egL4+xLi7t27Ze+7rKwM165dQ6NGjfTbkpOTER4ebtAuIiLC6O2JAKCgoAAADPZTWRuVSqWvtzLJycnQaDT4xz/+od/Wq1cvaDQakz9fDmP9OnToEEpKSmq0b7m6desGHx8f9O/fH7t27TJ4TXc5Lz09Xb/t5s2bePbZZ/Hxxx/LPgNWUFBQ4TgEBgYiLi5O/7yqY6y7TdXdbUzdpoqI5GNwIsU4OTlh5cqVWLVqFTw9PdGnTx9MmzYNx44d07dp0qQJAClgeHt765936dIFL7/8Mjp16oTWrVvj/fffR8uWLbFlyxaDn9GvXz9MmjQJQUFBCAoK0r+/cePG8Pb2NhkWasOZM2fQsmVLODs7m2zn7OyMtm3bol69erL3vWDBAty4cQPDhg3Tb8vLy6swMayXl1eFCWR1hBCIjY3FAw88gI4dO1ba5tatW5gyZQpGjBgBDw8Po/Xk5eWhadOmFbY3bdrU6M+Xy1i/bt++jYsXL9Zo31Xx8fHBZ599hg0bNmDjxo1o27Yt+vfvj59++knfpl69emjbtq3BcZ4wYQJ69+6NoUOHyvo5f/zxB5YsWVJhmpVWrVoZzIRc1TG+ePEiSktLq/V7QETyWc236sg2PfXUUxg0aBB+/vlnJCcnY9u2bfjwww+xfPlyREdHG33fjRs3MGvWLHzzzTfIycnB7du38ddff1U449SjRw8z98A0YeLWQHdq1qyZ7MHGAPDll18iLi4O//3vfyuElercnigmJgbHjh3Dnj17Kn29pKQEkZGRKCsrw9KlS/XbX3nlFXz++ef659evX6/0Z1f18ytTv359/ePnn39ePwi8sn4Z+5m1qW3btmjbtq3+eUhICDIzMzF//nw89NBDAICePXsaHL8tW7bghx9+MBh/ZkpOTg4GDhyIZ555BmPGjDF47fvvv6/QXs4xrs7vARHJx+BEinN1dcWAAQMwYMAAzJgxA2PGjMHMmTNNBqfJkydj+/btmD9/PoKCguDm5oann366wgBwd3f3e6pJd2aloKCgwuWpq1ev6m/jU5U2bdpgz549KCkpqfKsk1zr1q3D6NGjsX79+goDmr29vWXfnuj111/Hli1b8NNPP1V6K6KSkhIMGzYMaWlp+OGHHwzONsXHx2PSpEkVfvb58+cr7OfChQtGb49UmTu/8aj7mcb65eTkhMaNG8ved23p1auXQXC82w8//IA//vijwu/OU089hQcffNDgkmxOTg7CwsL0k/tWpapjfC+3qSIi+XipjixOcHCw/htegHQZq7S01KDNzz//jOjoaDzxxBPo1KkTvL29DcaXGOPi4gIAFfZ3t9atW8PBwUE/pkonNzcX2dnZBmcgTBkxYgSuX79ucLbmTpVNd2DKl19+iejoaHzxxRcYNGhQhddDQkIq3J5ox44dBrcnEkIgJiYGGzduxA8//IAWLVpU2I8uNJ05cwZJSUkVwknTpk31lz+DgoL0P7ugoEA/jgwA9u/fj4KCgmrdHunO/erOphnrV48ePWotkFZHSkqKyRuGT5kyBceOHUNqaqp+AYBFixYhMTFR3y47Oxt9+/bFfffdh8TERDg4VP1PclXHmLepIjIzsw8/twD8Vp1lunjxoggLCxOrV68WR48eFX/++af46quvhJeXlxg1apS+XevWrcWrr74qcnNzxeXLl4UQQjz++OOia9euIiUlRaSmporBgweLBg0aiDfeeEP/vsq+WVVSUiLc3NzE+++/L/Ly8sTVq1eN1vfqq68Kf39/sWnTJvHnn3+KPXv2iNDQUNGpUydRUlJSob2xb2W99dZbwtHRUUyePFns3btXpKeni6SkJPH000/rv22XlZUl2rZtK/bv32+0ni+++EI4OTmJTz75ROTm5uqXO/vwyy+/CEdHRzF37lzx66+/irlz5wonJyeDb7q9+uqrQqPRiN27dxvs5+bNm/rPaMiQIaJ58+YiNTXVoE1RUZHR+oQQYuDAgaJz584iOTlZJCcni06dOonHHnvMoM2ZM2dESkqKePnll0WbNm1ESkqKSElJMbnvP//8U9SrV09MmDBBnDp1SqxYsUI4OzuLr7/+Wt+mqKhIvy8fHx8xadIkkZKSIs6cOWOy5pMnT4qUlBQxePBg0bdvX/0+dBYtWiQ2bdokTp8+LU6cOCGmTJkiAIgNGzbo2+zfv1+0bdtWZGVlGf05uOtbddnZ2SIoKEj069dPZGVlGXzOd+rXr59YsmSJ/rmcY7x27Vrh7OwsVqxYIU6dOiXefPNN4e7uLtLT001+FkTWqi7/zjM4kWJu3bolpkyZIu677z6h0WhEvXr1RNu2bcU777yj/yMuhBBbtmwRQUFBwsnJST8dQVpamggLCxNubm7Cz89PfPzxxyI0NLTK4CSEEP/3f/8n/Pz8hIODg9HpCHT1xcfHi/bt2ws3NzcREBAgoqOjK/xh0zEWnIQQYt26deKhhx4SDRo0EO7u7qJz584iPj5e/xX3tLQ0AUDs2rXLaD2hoaEVplMAIEaOHGnQbv369aJt27bC2dlZtGvXzuAPvBCi0n0AEImJiQa1VLaYqk8IIS5duiSee+450aBBA9GgQQPx3HPPVfgav7F+pKWlmdz37t27Rbdu3YSLi4sIDAwUn376qcHrxuo2dYyFqDjlhW7R+eCDD0SrVq2Eq6uraNiwoXjggQfEt99+a7AP3ZQFpvpwd3BKTEw0+jnfXd/d019UdYyFEOKTTz4RAQEBwsXFRdx3330mp5sgsnZ1+XdeJUT5CEsblpWVBT8/P2RmZlY6loOIiIisV13+necYJyIiIiKZGJyIiIiIZGJwIiIiIpKJwYmIiIhIJgYnIiIiIpkYnIiIiIhkYnAiIiIikonBiYiIiEgmBiciIiIimRiciIiIiGRicCIiIiKSicGJiIiISCYGJyIiIiKZGJyIiIiIZGJwIiIiIpKJwYmIiIhIJgYnIiIiIpkYnIiIiIhkYnAiIiIikonBiYiIiEgmxYJTeno6Ro8ejRYtWsDNzQ2tWrXCzJkzUVxcbNBOpVJVWJYtW6ZQ1URERGTPnJT6wb/99hvKysrwr3/9C0FBQThx4gTGjh2LGzduYP78+QZtExMTMXDgQP1zjUZT1+USERERKRecBg4caBCGWrZsid9//x2ffvppheDk6ekJb2/vui6RiIiIyIBFjXEqKChAo0aNKmyPiYmBVqvF/fffj2XLlqGsrMzkfoqKilBYWKhfrl27Zq6SiYiIyI4odsbpbn/88QeWLFmCBQsWGGx/77330L9/f7i5ueH777/HxIkTcfHiRbzzzjtG9zVnzhzMmjXL3CUTERGRnVEJIURt7jAuLq7K0HLw4EH06NFD/zwnJwehoaEIDQ3F8uXLTb53wYIFiI+PR0FBgdE2RUVFKCoq0j/Pzs5GcHAwMjMz0bx5c5k9ISIiImuQlZUFPz+/Ovk7X+tnnGJiYhAZGWmyTWBgoP5xTk4OwsLCEBISgs8++6zK/ffq1QuFhYU4f/48vLy8Km2jVquhVqv1zwsLC+UVT0RERGRCrQcnrVYLrVYrq212djbCwsLQvXt3JCYmwsGh6iFXKSkpcHV1haenZw0rJSIiIqoexcY45eTkoG/fvvD398f8+fNx4cIF/Wu6b9Bt3boVeXl5CAkJgZubG3bt2oXp06fjpZdeMjijRERERFQXFAtOO3bswNmzZ3H27NkK1yN1w66cnZ2xdOlSxMbGoqysDC1btkR8fDzGjRunRMlERERk52p9cLglqstBY0RERFS36vLvvEXN40RERERkyRiciIiIiGRicCIiIiKSicGJiIiISCYGJyIiIiKZGJyIiIiIZGJwIiIiIpKJwYmIiIhIJgYnIiIiIpkYnIiIiIhkYnAiIiIikonBiYiIiEgmBiciIiIimRiciIiIiGRicCIiIiKSicGJiIiISCYGJyIiIiKZGJyIiIiIZGJwIiIiIpKJwYmIiIhIJgYnIiIiIpkYnIiIiIhkYnAiIiIikonBiYiIiEgmBiciIiIimRiciIiIiGRicCIiIiKSicGJiIiISCYGJyIiIiKZGJyIiIiIZGJwIiIiIpJJ0eAUGBgIlUplsEyZMsWgTUZGBgYPHgx3d3dotVqMHz8excXFClVMRERE9sxJ6QLi4+MxduxY/fP69evrH5eWlmLQoEFo0qQJ9uzZg0uXLmHkyJEQQmDJkiVKlEtERER2TPHg1KBBA3h7e1f62o4dO3Dq1ClkZmbC19cXALBgwQJER0cjISEBHh4edVkqERER2TnFxzh98MEHaNy4Mbp27YqEhASDy3DJycno2LGjPjQBQEREBIqKinD48GGj+ywqKkJhYaF+uXbtmln7QERERPZB0TNOb7zxBu677z40bNgQBw4cwNSpU5GWlobly5cDAPLy8uDl5WXwnoYNG8LFxQV5eXlG9ztnzhzMmjXLrLUTERGR/an1M05xcXEVBnzfvRw6dAgAMGHCBISGhqJz584YM2YMli1bhhUrVuDSpUv6/alUqgo/QwhR6XadqVOnoqCgQL+cOnWqtrtJREREdqjWzzjFxMQgMjLSZJvAwMBKt/fq1QsAcPbsWTRu3Bje3t7Yv3+/QZsrV66gpKSkwpmoO6nVaqjVav3zwsJCmdUTERERGVfrwUmr1UKr1d7Te1NSUgAAPj4+AICQkBAkJCQgNzdXv23Hjh1Qq9Xo3r177RRMREREJJNiY5ySk5Oxb98+hIWFQaPR4ODBg5gwYQKGDBkCf39/AEB4eDiCg4MRFRWFefPm4fLly5g0aRLGjh3Lb9QRERFRnVMsOKnVaqxbtw6zZs1CUVERAgICMHbsWLz11lv6No6Ojvj222/x2muvoU+fPnBzc8OIESMwf/58pcomIiIiO6ZYcLrvvvuwb9++Ktv5+/vjm2++qYOKiIiIiExTfB4nIiIiImvB4EREREQkE4MTERERkUwMTkREREQyMTgRERERycTgRERERCQTgxMRERGRTAxORERERDIxOBERERHJxOBEREREJBODExEREZFMDE5EREREMjE4EREREcnE4EREREQkE4MTERERkUwMTkREREQyMTgRERERycTgRERERCQTgxMRERGRTAxORERERDIxOBERERHJxOBEREREJBODExEREZFMDE5EREREMjE4EREREcnE4EREREQkE4MTERERkUwMTkREREQyMTgRERERycTgRERERCSTYsFp9+7dUKlUlS4HDx7Ut6vs9WXLlilVNhEREdkxJ6V+cO/evZGbm2uw7d1330VSUhJ69OhhsD0xMREDBw7UP9doNHVSIxEREdGdFAtOLi4u8Pb21j8vKSnBli1bEBMTA5VKZdDW09PToC0RERGREixmjNOWLVtw8eJFREdHV3gtJiYGWq0W999/P5YtW4aysrK6L5CIiIjsnmJnnO62YsUKREREwM/Pz2D7e++9h/79+8PNzQ3ff/89Jk6ciIsXL+Kdd94xuq+ioiIUFRXpn1+7ds1sdRMREZH9qPUzTnFxcUYHfeuWQ4cOGbwnKysL27dvx+jRoyvs75133kFISAi6du2KiRMnIj4+HvPmzTNZw5w5c6DRaPRLcHBwrfaRiIiI7JNKCCFqc4cXL17ExYsXTbYJDAyEq6ur/vl7772HJUuWIDs7G87Ozibf+8svv+CBBx5AXl4evLy8Km1z9xmn7OxsBAcHIzMzE82bN69Gb4iIiMjSZWVlwc/Pr07+ztf6pTqtVgutViu7vRACiYmJeOGFF6oMTQCQkpICV1dXeHp6Gm2jVquhVqv1zwsLC2XXQ0RERGSM4mOcfvjhB6SlpVV6mW7r1q3Iy8tDSEgI3NzcsGvXLkyfPh0vvfSSQTAiIiIiqguKB6cVK1agd+/eaN++fYXXnJ2dsXTpUsTGxqKsrAwtW7ZEfHw8xo0bp0ClREREZO9qfYyTJarLa59ERERUt+ry77zFzONEREREZOkYnIiIiIhkYnAiIiIikonBiYiIiEgmBiciIiIimRiciIiIiGRicCIiIiKSicGJiIiISCYGJyIiIiKZGJyIiIiIZGJwIiIiIpKJwYmIiIhIJgYnIiIiIpkYnIiIiIhkYnAiIiIikonBiYiIiEgmBiciIiIimRiciIiIiGRicCIiIiKSicGJiIiISCYGJyIiIiKZGJyIiIiIZGJwIiIiIpKJwYmIiIhIJgYnIiIiIpkYnIiIiIhkYnAiIiIikonBiYiIiEgmBiciIiIimRiciIiIiGRicCIiIiKSyazBKSEhAb1790a9evXg6elZaZuMjAwMHjwY7u7u0Gq1GD9+PIqLiw3aHD9+HKGhoXBzc0OzZs0QHx8PIYQ5SyciIiKqwMmcOy8uLsYzzzyDkJAQrFixosLrpaWlGDRoEJo0aYI9e/bg0qVLGDlyJIQQWLJkCQCgsLAQAwYMQFhYGA4ePIjTp08jOjoa7u7umDhxojnLJyIiIjJg1uA0a9YsAMDKlSsrfX3Hjh04deoUMjMz4evrCwBYsGABoqOjkZCQAA8PD6xZswa3bt3CypUroVar0bFjR5w+fRoLFy5EbGwsVCqVObtAREREpKfoGKfk5GR07NhRH5oAICIiAkVFRTh8+LC+TWhoKNRqtUGbnJwcpKen13XJREREZMcUDU55eXnw8vIy2NawYUO4uLggLy/PaBvdc12buxUVFaGwsFC/XLt2zQzVExERkb2pdnCKi4uDSqUyuRw6dEj2/iq71CaEMNh+dxvdwHBjl+nmzJkDjUajX4KDg2XXQ0RERGRMtcc4xcTEIDIy0mSbwMBAWfvy9vbG/v37DbZduXIFJSUl+rNK3t7eFc4s5efnA0CFM1E6U6dORWxsrP55dnY2wxMRERHVWLWDk1arhVarrZUfHhISgoSEBOTm5sLHxweANGBcrVaje/fu+jbTpk1DcXExXFxc9G18fX2NBjS1Wm0wJqqwsLBW6iUiIiL7ZtYxThkZGUhNTUVGRgZKS0uRmpqK1NRUXL9+HQAQHh6O4OBgREVFISUlBd9//z0mTZqEsWPHwsPDAwAwYsQIqNVqREdH48SJE9i0aRNmz57Nb9QRERFRnTPrdAQzZszAqlWr9M+7desGANi1axf69u0LR0dHfPvtt3jttdfQp08fuLm5YcSIEZg/f77+PRqNBjt37sS4cePQo0cPNGzYELGxsQaX4oiIiIjqgkrYwRTcWVlZ8PPzQ2ZmJpo3b650OURERFSL6vLvPO9VR0RERCQTgxMRERGRTAxORERERDIxOBERERHJxOBEREREJBODExEREZFMDE5EREREMjE4EREREcnE4EREREQkE4MTERERkUwMTkREREQyMTgRERERycTgRERERCQTgxMRERGRTAxORERERDIxOBERERHJxOBEREREJBODExEREZFMDE5EREREMjE4EREREcnE4EREREQkE4MTERERkUwMTkREREQyMTgRERERycTgRERERCQTgxMRERGRTAxORERERDIxOBERERHJxOBEREREJBODExEREZFMDE5EREREMpk1OCUkJKB3796oV68ePD09K7x+9OhRPPvss/Dz84Obmxvat2+Pf/7znwZt0tPToVKpKizbtm0zZ+lEREREFTiZc+fFxcV45plnEBISghUrVlR4/fDhw2jSpAk+//xz+Pn5Ye/evXjppZfg6OiImJgYg7ZJSUno0KGD/nmjRo3MWToRERFRBWYNTrNmzQIArFy5stLXR40aZfC8ZcuWSE5OxsaNGysEp8aNG8Pb29ssdRIRERHJYXFjnAoKCio9mzRkyBA0bdoUffr0wddff61AZURERGTvzHrGqbqSk5Px1Vdf4dtvv9Vvq1+/PhYuXIg+ffrAwcEBW7ZswfDhw7Fq1So8//zzle6nqKgIRUVF+ufXrl0ze+1ERERk+6p9xikuLq7Swdp3LocOHap2ISdPnsTQoUMxY8YMDBgwQL9dq9ViwoQJ6NmzJ3r06IH4+Hi89tpr+PDDD43ua86cOdBoNPolODi42vUQERER3a3aZ5xiYmIQGRlpsk1gYGC19nnq1Cn069cPY8eOxTvvvFNl+169emH58uVGX586dSpiY2P1z7OzsxmeiIiIqMaqHZy0Wi20Wm2tFXDy5En069cPI0eOREJCgqz3pKSkwMfHx+jrarUaarVa/7ywsLDGdRIRERGZdYxTRkYGLl++jIyMDJSWliI1NRUAEBQUhPr16+PkyZMICwtDeHg4YmNjkZeXBwBwdHREkyZNAACrVq2Cs7MzunXrBgcHB2zduhUfffQRPvjgA3OWTkRERFSBWYPTjBkzsGrVKv3zbt26AQB27dqFvn37Yv369bhw4QLWrFmDNWvW6NsFBAQgPT1d//z999/HuXPn4OjoiDZt2uDf//630YHhREREROaiEkIIpYswt6ysLPj5+SEzMxPNmzdXuhwiIiKqRXX5d97i5nEiIiIislQMTkREREQyMTgRERERycTgRERERCQTgxMRERGRTAxORERERDIxOBERERHJxOBEREREJBODExEREZFMDE5EREREMjE4EREREcnE4EREREQkE4MTERERkUwMTkREREQyMTgRERERycTgRERERCQTgxMRERGRTAxORERERDIxOBERERHJxOBEREREJBODExEREZFMDE5EREREMjE4EREREcnE4EREREQkE4MTERERkUwMTkREREQyMTgRERERycTgRERERCQTgxMRERGRTAxORERERDIxOBERERHJZNbglJCQgN69e6NevXrw9PSstI1KpaqwLFu2zKDN8ePHERoaCjc3NzRr1gzx8fEQQpizdCIiIqIKnMy58+LiYjzzzDMICQnBihUrjLZLTEzEwIED9c81Go3+cWFhIQYMGICwsDAcPHgQp0+fRnR0NNzd3TFx4kRzlk9ERERkwKzBadasWQCAlStXmmzn6ekJb2/vSl9bs2YNbt26hZUrV0KtVqNjx444ffo0Fi5ciNjYWKhUqtoum4iIiKhSFjHGKSYmBlqtFvfffz+WLVuGsrIy/WvJyckIDQ2FWq3Wb4uIiEBOTg7S09Mr3V9RUREKCwv1y7Vr18zdBSIiIrIDigen9957D+vXr0dSUhIiIyMxceJEzJ49W/96Xl4evLy8DN6je56Xl1fpPufMmQONRqNfgoODzdcBIiIishvVDk5xcXGVDui+czl06JDs/b3zzjsICQlB165dMXHiRMTHx2PevHkGbe6+HKcbGG7sMt3UqVNRUFCgX06dOlXNXhIRERFVVO0xTjExMYiMjDTZJjAw8F7rQa9evVBYWIjz58/Dy8sL3t7eFc4s5efnA0CFM1E6arXa4NJeYWHhPddDREREpFPt4KTVaqHVas1RCwAgJSUFrq6u+ukLQkJCMG3aNBQXF8PFxQUAsGPHDvj6+tYooBERERFVl1m/VZeRkYHLly8jIyMDpaWlSE1NBQAEBQWhfv362Lp1K/Ly8hASEgI3Nzfs2rUL06dPx0svvaQ/YzRixAjMmjUL0dHRmDZtGs6cOYPZs2djxowZ/EYdERER1SmzBqcZM2Zg1apV+ufdunUDAOzatQt9+/aFs7Mzli5ditjYWJSVlaFly5aIj4/HuHHj9O/RaDTYuXMnxo0bhx49eqBhw4aIjY1FbGysOUsnIiIiqkAl7GAK7qysLPj5+SEzMxPNmzdXuhwiIiKqRXX5d17x6QiIiIiIrAWDExEREZFMDE5EREREMjE4EREREcnE4EREREQkE4MTERERkUwMTkREREQyMTgRERERycTgRERERCQTgxMRERGRTAxORERERDIxOBERERHJxOBEREREJBODE92bv/5SugIiIqI6x+BE96ZdO6BZM+DECaUrISIbdQNAQwBuAG4qXAuRjpPSBZAVunYNyMiQHvv4KFsLEdksNYCr5Y9vAainXClEejzjRNX322/S2ssLaNxY2VqIyGY5AXAsf8zBAWQpGJyo+k6elNbBwcrWQUQ2z618fUvRKoj+xuBE1XfqlLRmcCIiM3MtX/OME1kKBieqPp5xIqI6wjNOZGkYnKh6ioqAPXukx927K1sLEdm8BuXrAkWrIPobgxNVzw8/AIWF0rfp7r9f6WqIyMY1LV9fULQKor8xOFH1bNokrR9/HHDgrw8RmZcuOOUrWgXR3/iXj+Q7cABYtUp6/OSTytZCRHZBF5zOK1oF0d8YnEievDwpLBUXA0OHAv37K10REdkBbfn6kqJVEP2NwYmqVlwMPPMMkJ0t3WrlP/8BVCqlqyIiO6ALThcVrYLobwxOVLXYWOmbdB4ewObN0pqIqA7o7k3A4ESWgsGJTEtMBD75RDrDtGYN0Lat0hURkR3hpTqyNAxOZFxODvD669LjWbOAxx5Tth4isjs840SWhsGJjJsyBbhxA+jVC5g+XelqiMgOacrXnACTLAWDE1Vu3z5g9Wrp8Ucfcc4mIlKEZ/n6LwAlCtZBpGPWv4YJCQno3bs36tWrB09Pzwqvr1y5EiqVqtIlP1+a7iw9Pb3S17dt22bO0u1bWRkwfrz0+MUXOUM4ESnmzq+i8KwTWQInc+68uLgYzzzzDEJCQrBixYoKrw8fPhwDBw402BYdHY1bt26hadOmBtuTkpLQoUMH/fNGjRqZp2iSJrk8eBBo0ACYPVvpaojIjjkBcAdwA1Jw0ppuTmR2Zg1Os2bNAiCdWaqMm5sb3Nzc9M8vXLiAH374odKQ1bhxY3h7e5ulTrrLv/4lrd95B+BnTkQK0+Dv4ESkNIsauPKf//wH9erVw9NPP13htSFDhqBp06bo06cPvv76a5P7KSoqQmFhoX65du2auUq2TdnZ0josTNk6iIjw9zgnBieyBBYVnP79739jxIgRBmeh6tevj4ULF+Lrr7/Gd999h/79+2P48OH4/PPPje5nzpw50Gg0+iU4OLguyrcNQgDl48tw1+VSIiIleJavrypYA5FOtYNTXFyc0QHduuXQoUPVLiQ5ORmnTp3C6NGjDbZrtVpMmDABPXv2RI8ePRAfH4/XXnsNH374odF9TZ06FQUFBfrl1KlT1a7HbhUWSrdYAYAmTZSthYgIDE5kWao9xikmJgaRkZEm2wQGBla7kOXLl6Nr167o3r17lW179eqF5cuXG31drVZDrVbrnxcWFla7Hrt14YK0dncH6tVTthYiIjA4kWWpdnDSarXQamv3ew3Xr1/HV199hTlz5shqn5KSAh8fn1qtgcqlpUlrDgonIguh+w71eUWrIJKY9Vt1GRkZuHz5MjIyMlBaWorU1FQAQFBQEOrXr69vt27dOty+fRvPPfdchX2sWrUKzs7O6NatGxwcHLB161Z89NFH+OCDD8xZuv3auVNa9+mjbB1EROV0d8g8qWgVRBKzBqcZM2Zg1apV+ufdunUDAOzatQt9+/bVb1+xYgWefPJJNGzYsNL9vP/++zh37hwcHR3Rpk0b/Pvf/8bzzz9vztLt1/bt0joiQtk6iIjKdSlfH1O0CiKJSgghlC7C3LKysuDn54fMzEw0b95c6XIsV24u4OsLqFTA+fMcHE5EFuEqAN3/Vl++4zGRTl3+nbeo6QhIYTt2SOv77mNoIiKL4QkgoPzxcQXrIAIYnOhOuuAUHq5sHUREd+lUvubkMqQ0BieSlJX9PTCc45uIyML4lq/zFa2CiMGJdFJTpTmc6tcHQkKUroaIyIBu8MAFRasgYnAiHd1lurAwwMVF2VqIiO6imz3woqJVEDE4kQ7HNxGRBeMZJ7IUDE4k3Zvul1+kxwxORGSBdGecOMaJlMbgRMDZs1J4ql8faN1a6WqIiCpoVr7OUrQKIgYnAoCT5TcyCA6WJr8kIrIwfuXrKwBuKFkI2T0GJ/o7OHXooGwdRERGaAA0KH/Ms06kJAYnAk6VTynH4EREFkx31ilT0SrI3jE42bvbt4HkZOkxgxMRWTAGJ7IEDE72butWICsL0GqBvn2VroaIyCif8nWuolWQvWNwsncffSStX3oJcHVVthYiIhMYnMgSMDjZswMHgN27AUdH4NVXla6GiMgkBieyBAxO9qqkBBg7Vnr8/PNA8+bK1kNEVIXA8vUfShZBdo/ByV7NmwccOwY0biw9JiKycO3K16cBlClZCNk1Bid79PvvQHy89Pif/wSaNDHdnojIArQA4AzgJjiXEymHwcnelJUBY8YARUXAI48AI0YoXRERkSxOAILKH/+mZCFk1xic7M1//gPs2QO4uwOffspbrBCRVdFdrvtd0SrInjE42RMhgEWLpMfvvgsEBChbDxFRNem+WXdR0SrInjE42ZNffpEGhLu5SfM2ERFZGbfy9S1FqyB7xuBkTz7+WFo/9xzQsKGytRAR3QPdNL1/KVoF2TMGJ3uRmwts2CA9HjdO2VqIiO6RLjjxjBMphcHJXnz4oXRD3z59gK5dla6GiOie6C7V8YwTKYXByR58/TWweLH0+O23FS2FiKgmGpWv8xWtguwZg5OtO3kSiI6WHk+cCAwerGg5REQ1ofsucIaiVZA9Y3CyZVevAo8/Dty4AfTrB8ydq3RFREQ14l++PgdAKFkI2S0GJ1tVViZ9e+7sWWm+pnXrACcnpasiIqoRv/L1X+BcTqQMBidb9dFHwHffAa6uwMaNgFardEVERDWmBuBd/vickoWQ3TJbcEpPT8fo0aPRokULuLm5oVWrVpg5cyaKi4sN2mVkZGDw4MFwd3eHVqvF+PHjK7Q5fvw4QkND4ebmhmbNmiE+Ph5C8CStSYmJ0vrDD4H77lO2FiKiWtS2fH1M0SrIXpnt2s1vv/2GsrIy/Otf/0JQUBBOnDiBsWPH4saNG5g/fz4AoLS0FIMGDUKTJk2wZ88eXLp0CSNHjoQQAkuWLAEAFBYWYsCAAQgLC8PBgwdx+vRpREdHw93dHRMnTjRX+dbtjz+kGcIdHaXLdURENqQngB8BHAQwSuFayP6YLTgNHDgQAwcO1D9v2bIlfv/9d3z66af64LRjxw6cOnUKmZmZ8PX1BQAsWLAA0dHRSEhIgIeHB9asWYNbt25h5cqVUKvV6NixI06fPo2FCxciNjYWKt6ktqJNm6R1375Ao0YmmxIRWZv7y9cHFK2C7FWdjnEqKChAozv+kCcnJ6Njx4760AQAERERKCoqwuHDh/VtQkNDoVarDdrk5OQgPT29zmq3Krrg9MQTytZBRGQGPcvXx8AZxKnu1dnXrP744w8sWbIECxYs0G/Ly8uDl5eXQbuGDRvCxcUFeXl5+jaBgYEGbXTvycvLQ4sWLSr8rKKiIhQVFemfFxQUAAByc3NrpS8W7cIFYO9e6XHPnkBWlrL1EBHVMgcAjevXxyUHB+y4cQP3lZYqXRIpTPf3vbCwEEIIs16NqnZwiouLw6xZs0y2OXjwIHr06KF/npOTg4EDB+KZZ57BmDFjDNpW1rm7O313G93AcGMfzJw5cyqtsWfPnpW0tmH21l8isjtDlS6ALEqHDh1QUFAADw8Ps/2MagenmJgYREZGmmxz5xminJwchIWFISQkBJ999plBO29vb+zfv99g25UrV1BSUqI/q+Tt7a0/+6STny9Ntn/32SqdqVOnIjY2Vv/88uXLaNGiBU6cOAGNRmO6g3bo2rVrCA4OxqlTp9CgQQOly7FI/IxM4+djGj+fqvEzMo2fj2kFBQXo2LEj0tPTzf75VDs4abVaaGXOCZSdnY2wsDB0794diYmJcHAwHFIVEhKChIQE5ObmwsfHB4A0YFytVqN79+76NtOmTUNxcTFcXFz0bXx9fStcwtNRq9UGY6J0/Pz8zJpCrVVhYSEAoFmzZvx8jOBnZBo/H9P4+VSNn5Fp/HxM030mDRs2NPuXxsw2ODwnJwd9+/aFn58f5s+fjwsXLiAvL8/g7FF4eDiCg4MRFRWFlJQUfP/995g0aRLGjh2r/xBGjBgBtVqN6OhonDhxAps2bcLs2bP5jToiIiKqc2YbHL5jxw6cPXsWZ8+eRfPmzQ1e041RcnR0xLfffovXXnsNffr0gZubG0aMGKGfrgAANBoNdu7ciXHjxqFHjx5o2LAhYmNjDS7FEREREdUFswWn6OhoREdHV9nO398f33zzjck2nTp1wk8//XTPtajVasycObPSy3fEz0cOfkam8fMxjZ9P1fgZmcbPx7S6/HxUgvcuISIiIpKFN/klIiIikonBiYiIiEgmBiciIiIimRiciIiIiGSy6eAUGBgIlUpVYRk3bpzSpVmE27dv45133kGLFi3g5uaGli1bIj4+HmVlZUqXZjGuXbuGN998EwEBAXBzc0Pv3r1x8OBBpctSzE8//YTBgwfD19cXKpUKmzdvNnhdCIG4uDj4+vrCzc0Nffv2xcmTJ5UpVgFVfT4bN25EREQEtFotVCoVUlNTFalTKaY+n5KSErz99tvo1KkT3N3d4evrixdeeAE5OTnKFayAqn6H4uLi0K5dO7i7u6Nhw4Z4+OGHK9yBw5ZV9fnc6eWXX4ZKpcLixYtrtQabDk4HDx5Ebm6uftm5cycA4JlnnlG4MsvwwQcfYNmyZfj444/x66+/4sMPP8S8efOwZMkSpUuzGGPGjMHOnTuxevVqHD9+HOHh4Xj44YeRnZ2tdGmKuHHjBrp06YKPP/640tc//PBDLFy4EB9//DEOHjwIb29vDBgwANeuXavjSpVR1edz48YN9OnTB3Pnzq3jyiyDqc/n5s2bOHLkCN59910cOXIEGzduxOnTpzFkyBAFKlVOVb9Dbdq0wccff4zjx49jz549CAwMRHh4OC5cuFDHlSqjqs9HZ/Pmzdi/fz98fX1rvwhhR9544w3RqlUrUVZWpnQpFmHQoEFi1KhRBtuefPJJ8fzzzytUkWW5efOmcHR0FN98843B9i5duojp06crVJXlACA2bdqkf15WVia8vb3F3Llz9dtu3bolNBqNWLZsmQIVKuvuz+dOaWlpAoBISUmp05osianPR+fAgQMCgDh37lzdFGVh5HxGBQUFAoBISkqqm6IsiLHPJysrSzRr1kycOHFCBAQEiEWLFtXqz7XpM053Ki4uxueff45Ro0bxVi3lHnjgAXz//fc4ffo0AODo0aPYs2cPHn30UYUrswy3b99GaWkpXF1dDba7ublhz549ClVludLS0pCXl4fw8HD9NrVajdDQUOzdu1fByshaFRQUQKVSwdPTU+lSLFJxcTE+++wzaDQadOnSRelyLEJZWRmioqIwefJkdOjQwSw/w2wzh1uazZs34+rVq7JmM7cXb7/9NgoKCtCuXTs4OjqitLQUCQkJePbZZ5UuzSI0aNAAISEheO+999C+fXt4eXnhyy+/xP79+9G6dWuly7M4uvtQenl5GWz38vLCuXPnlCiJrNitW7cwZcoUjBgxgje1vcs333yDyMhI3Lx5Ez4+Pti5cye0Wq3SZVmEDz74AE5OThg/frzZfobdnHFasWIFHnnkEfNc77RS69atw+eff44vvvgCR44cwapVqzB//nysWrVK6dIsxurVqyGEQLNmzaBWq/HRRx9hxIgRcHR0VLo0i3X3GV0hBM/yUrWUlJQgMjISZWVlWLp0qdLlWJywsDCkpqZi7969GDhwIIYNG4b8/Hyly1Lc4cOH8c9//hMrV6406785dhGczp07h6SkJIwZM0bpUizK5MmTMWXKFERGRqJTp06IiorChAkTMGfOHKVLsxitWrXCjz/+iOvXryMzMxMHDhxASUkJWrRooXRpFsfb2xvA32eedPLz8yuchSIypqSkBMOGDUNaWhp27tzJs02VcHd3R1BQEHr16oUVK1bAyckJK1asULosxf3888/Iz8+Hv78/nJyc4OTkhHPnzmHixIkIDAystZ9jF8EpMTERTZs2xaBBg5QuxaLcvHkTDg6GvwKOjo6cjqAS7u7u8PHxwZUrV7B9+3YMHTpU6ZIsTosWLeDt7a3/9iogjcH48ccf0bt3bwUrI2uhC01nzpxBUlISGjdurHRJVkEIgaKiIqXLUFxUVBSOHTuG1NRU/eLr64vJkydj+/bttfZzbH6MU1lZGRITEzFy5Eg4Odl8d6tl8ODBSEhIgL+/Pzp06ICUlBQsXLgQo0aNUro0i7F9+3YIIdC2bVucPXsWkydPRtu2bfHiiy8qXZoirl+/jrNnz+qfp6WlITU1FY0aNYK/vz/efPNNzJ49G61bt0br1q0xe/Zs1KtXDyNGjFCw6rpT1edz+fJlZGRk6Ocm+v333wFIZ+t0Z+xsmanPx9fXF08//TSOHDmCb775BqWlpfqzl40aNYKLi4tSZdcpU59R48aNkZCQgCFDhsDHxweXLl3C0qVLkZWVZTfT7FT139jdYdvZ2Rne3t5o27Zt7RVRq9/Rs0Dbt28XAMTvv/+udCkWp7CwULzxxhvC399fuLq6ipYtW4rp06eLoqIipUuzGOvWrRMtW7YULi4uwtvbW4wbN05cvXpV6bIUs2vXLgGgwjJy5EghhDQlwcyZM4W3t7dQq9XioYceEsePH1e26DpU1eeTmJhY6eszZ85UtO66Yurz0U3RUNmya9cupUuvM6Y+o7/++ks88cQTwtfXV7i4uAgfHx8xZMgQceDAAaXLrjNV/Td2N3NMR6ASQojai2FEREREtssuxjgRERER1QYGJyIiIiKZGJyIiIiIZGJwIiIiIpKJwYmIiIhIJgYnIiIiIpkYnIiIiIhkYnAiIiIikonBiYiIiEgmBiciIiIimRiciIiIiGRicCIiIiKSicGJiIiISCYGJyIiIiKZGJyIiIiIZGJwIiIiIpKJwYmIiIhIJgYnIiIiIpmsLjh9+umn6Ny5Mzw8PODh4YGQkBD873//07++ceNGREREQKvVQqVSITU1VdZ+N2zYgODgYKjVagQHB2PTpk1m6sG9M0ffV65cCZVKVWG5deuWGXtSfab6XlJSgrfffhudOnWCu7s7fH198cILLyAnJ6fK/Vr7cb/XvlvLcQeq/r2Pi4tDu3bt4O7ujoYNG+Lhhx/G/v37q9yvtR974N76bi3Hvqq+3+nll1+GSqXC4sWLq9yvNRx3wDz9t5VjHx0dXaEPvXr1qnK/tXXsrS44NW/eHHPnzsWhQ4dw6NAh9OvXD0OHDsXJkycBADdu3ECfPn0wd+5c2ftMTk7G8OHDERUVhaNHjyIqKgrDhg2T9Y9vXTJH3wHAw8MDubm5Bourq6s5unDPTPX95s2bOHLkCN59910cOXIEGzduxOnTpzFkyBCT+7SF436vfQes47gDVf/et2nTBh9//DGOHz+OPXv2IDAwEOHh4bhw4YLRfdrCsQfure+AdRz7qvqus3nzZuzfvx++vr5V7tNajjtgnv4DtnPsBw4caNCH7777zuQ+a/XYCxvQsGFDsXz5coNtaWlpAoBISUmp8v3Dhg0TAwcONNgWEREhIiMja7NMs6hp3xMTE4VGozFPcWZWWd91Dhw4IACIc+fOGX2/rR13HTl9t+bjLoTp/hcUFAgAIikpyej7bfXYy+m7NR/7u/uelZUlmjVrJk6cOCECAgLEokWLTL7fmo+7EDXvv60c+5EjR4qhQ4dW6/21eeyt7ozTnUpLS7F27VrcuHEDISEh97yf5ORkhIeHG2yLiIjA3r17a1qi2dRW3wHg+vXrCAgIQPPmzfHYY48hJSWllqo0Dzl9LygogEqlgqenp9H92Opxl9N3wPqOO1B1/4uLi/HZZ59Bo9GgS5cuRvdji8debt8B6zv2lfW9rKwMUVFRmDx5Mjp06CBrP9Z43IHa6z9gG8ceAHbv3o2mTZuiTZs2GDt2LPLz803up1aPfbWjlgU4duyYcHd3F46OjkKj0Yhvv/22QpvqnHVxdnYWa9asMdi2Zs0a4eLiUlsl15ra7ntycrJYvXq1SE1NFT/99JN46qmnhJubmzh9+rQZqq8ZOX0XQoi//vpLdO/eXTz33HMm92drx10I+X23puMuRNX937p1q3B3dxcqlUr4+vqKAwcOmNyfLR376vbdmo69qb7Pnj1bDBgwQJSVlQkhhKwzLtZ03IWo/f7byrFfu3at+Oabb8Tx48fFli1bRJcuXUSHDh3ErVu3jO6vNo+9VQanoqIicebMGXHw4EExZcoUodVqxcmTJw3aVDc4ffHFFwbbPv/8c6FWq2uz7FpR232/W2lpqejSpYt4/fXXa6ni2iOn78XFxWLo0KGiW7duoqCgwOT+bO24V6fvd7Pk4y5E1f2/fv26OHPmjEhOThajRo0SgYGB4vz580b3Z0vHvrp9v5slH3tjfT906JDw8vIS2dnZ+rZyg5O1HHchar//d7PGY1+ZnJwc4ezsLDZs2GB0f7V57K0yON2tf//+4qWXXjLYVp3w4OfnJxYuXGiwbeHChcLf3782yzSLmva9MmPGjKlwLdgS3d334uJi8fjjj4vOnTuLixcvVvl+Wzru1e17ZazluAtR+e/9nYKCgsTs2bONvm5Lx/5uVfW9MtZy7HV9X7RokVCpVMLR0VG/ABAODg4iICDA6Put+bgLUfP+V8bajr0xQUFBYu7cuUZfr81jb9VjnHSEECgqKrrn94eEhGDnzp0G23bs2IHevXvXtDSzq2nfK9tfamoqfHx8am2f5nJn30tKSjBs2DCcOXMGSUlJaNy4cZXvt5Xjfi99r2x/1nLcgap/76t63VaO/b28Xll7azn2ur5FRUXh2LFjSE1N1S++vr6YPHkytm/fbvT91nzcgZr3v7L9Wduxr8ylS5eQmZlpsh+1euyrHbUUNnXqVPHTTz+JtLQ0cezYMTFt2jTh4OAgduzYIYQQ4tKlSyIlJUV8++23AoBYu3atSElJEbm5ufp9REVFiSlTpuif//LLL8LR0VHMnTtX/Prrr2Lu3LnCyclJ7Nu3r877Z4o5+h4XFye2bdsm/vjjD5GSkiJefPFF4eTkJPbv31/n/TPFVN9LSkrEkCFDRPPmzUVqaqrIzc3VL0VFRfp92OJxv9e+W8txF8J0/69fvy6mTp0qkpOTRXp6ujh8+LAYPXq0UKvV4sSJE/p92OKxv9e+W8uxr+rfu7tVdqnKWo+7EObpvy0c+2vXromJEyeKvXv3irS0NLFr1y4REhIimjVrJgoLC/X7MOext7rgNGrUKBEQECBcXFxEkyZNRP/+/Q1+kRITEwWACsvMmTP1bUJDQ8XIkSMN9rt+/XrRtm1b4ezsLNq1a2fyWqlSzNH3N998U/j7++v3GR4eLvbu3VuHvZLHVN91lyYrW3bt2qXfhy0e93vtu7UcdyFM9/+vv/4STzzxhPD19RUuLi7Cx8dHDBkypMIAaVs89vfad2s59lX9e3e3yoKDtR53IczTf1s49jdv3hTh4eGiSZMmwtnZWfj7+4uRI0eKjIwMg32Y89irhBCi+uepiIiIiOyPTYxxIiIiIqoLDE5EREREMjE4EREREcnE4EREREQkE4MTERERkUwMTkREREQy2UVwKioqQlxcXK3OsG0t7LnvgH33n323z74D9t1/9t0++w7UXf+tZh6npUuXYt68ecjNzUWHDh2wePFiPPjgg7LeW1hYCI1Gg4KCAnh4eJi5Ustiz30H7Lv/7Lt99h2w7/6z7/bZd6Du+m8VZ5zWrVuHN998E9OnT0dKSgoefPBBPPLII8jIyFC6NCIiIrIjVhGcFi5ciNGjR2PMmDFo3749Fi9eDD8/P3z66adKl0ZERER2xEnpAqpSXFyMw4cPY8qUKQbbw8PDsXfv3krfU1RUZHCN8/LlywCAzMxMaDQa8xVrga5duwYAyM7ORmFhocLV1D177j/7bp99B+y7/+y7ffa9rKwMf/zxBwDA7COQ7ukOd3UoOztbABC//PKLwfaEhATRpk2bSt8zc+ZMozc+5cKFCxcuXLjY7pKfn2/WXGLxZ5x0VCqVwXMhRIVtOlOnTkVsbKz+eWZmJjp27IgDBw7Ax8fHrHUSERFR3crNzUXPnj1x8uRJaLVas/4siw9OWq0Wjo6OyMvLM9ien58PLy+vSt+jVquhVqv1z3WX53x8fNC8eXPzFUtERESK8fDwMHpSpbZY/OBwFxcXdO/eHTt37jTYvnPnTvTu3VuhqoiIiMgeWfwZJwCIjY1FVFQUevTogZCQEHz22WfIyMjAK6+8onRpREREZEesIjgNHz4cly5dQnx8PHJzc9GxY0d89913CAgIULo0IiIisiNWEZwA4LXXXsNrr72mdBlERERkxyx+jBPZtvz8fLz88svw9/eHWq2Gt7c3IiIikJycrG+jUqmwefPmWvl56enpUKlUSE1NNdlu9+7dUKlUuHr1aoXXunbtiri4OH0bU8vKlSsBABs2bEDfvn2h0WhQv359dO7cGfHx8fo5xuTYuHEjBgwYgCZNmsDDwwMhISHYvn17hXYbNmxAcHAw1Go1goODsWnTJoPX58yZg/vvvx8NGjRA06ZN8fjjj+P333/Xv15SUoK3334bnTp1gru7O3x9ffHCCy8gJyenyhqvXLmCqKgoaDQaaDQaREVFVfgM33jjDXTv3h1qtRpdu3aV3f8ff/wR3bt3h6urK1q2bIlly5YZvH7y5Ek89dRTCAwMhEqlwuLFi6vc561btxAdHY1OnTrByckJjz/+eKXt1qxZgy5duqBevXrw8fHBiy++iEuXLpncd1FREV5//XVotVq4u7tjyJAhyMrK0r9u6vfn4MGDJvdd1TEGpNtUtWjRAq6urujevTt+/vnnKj8PIqoagxMp6qmnnsLRo0exatUqnD59Glu2bEHfvn2rFSjkKi4urtX99e7dG7m5ufpl2LBhGDhwoMG24cOHY/r06Rg+fDjuv/9+/O9//8OJEyewYMECHD16FKtXr5b983766ScMGDAA3333HQ4fPoywsDAMHjwYKSkp+jbJyckYPnw4oqKicPToUURFRWHYsGHYv3+/vs2PP/6IcePGYd++fdi5cydu376N8PBw3LhxAwBw8+ZNHDlyBO+++y6OHDmCjRs34vTp0xgyZEiVNY4YMQKpqanYtm0btm3bhtTUVERFRRm0EUJg1KhRGD58uOy+p6Wl4dFHH8WDDz6IlJQUTJs2DePHj8eGDRv0bW7evImWLVti7ty58Pb2lrXf0tJSuLm5Yfz48Xj44YcrbbNnzx688MILGD16NE6ePIn169fj4MGDGDNmjMl9v/nmm9i0aRPWrl2LPXv24Pr163jsscdQWloKoOLvT25uLsaMGYPAwED06NHD6H7lHGPeporIjMw6S5SFyMzMFABEZmam0qXQHa5cuSIAiN27dxttExAQYDCxWUBAgBBCiLNnz4ohQ4aIpk2bCnd3d9GjRw+xc+fOCu997733xMiRI4WHh4d44YUXKkyUFhoaWunP3bVrlwAgrly5UuG1Ll26iJkzZ1bYPnLkSDF06FCDbfv37xcAxOLFi41+BjURHBwsZs2apX8+bNgwMXDgQIM2ERERIjIy0ug+8vPzBQDx448/Gm1z4MABAUCcO3fOaJtTp04JAGLfvn36bcnJyQKA+O233yq0nzlzpujSpYvR/d3prbfeEu3atTPY9vLLL4tevXpV2j4gIEAsWrRI1r51Kjt+Qggxb9480bJlS4NtH330kWjevLnRfV29elU4OzuLtWvX6rdlZ2cLBwcHsW3btkrfU1xcLJo2bSri4+NN1innGPfs2VO88sorBm3atWsnpkyZYnLfRNaqLv/O84wTKaZ+/fqoX78+Nm/ebHCLnDvpLlkkJiYiNzdX//z69et49NFHkZSUhJSUFERERGDw4MEV/o963rx56NixIw4fPox3330XBw4cAAAkJSUhNzcXGzduNGMPpUs89evXNzo+z9PTE8DflxB3794te99lZWW4du0aGjVqpN+WnJyM8PBwg3YRERFGb08EAAUFBQBgsJ/K2qhUKn29lUlOToZGo8E//vEP/bZevXpBo9GY/PlyGOvXoUOHUFJSUqN9V6V3797IysrCd999ByEEzp8/j6+//hqDBg3St9FddktPTwcAHD58GCUlJQY1+/r6omPHjkY/iy1btuDixYuIjo422B4YGIi4uDj986qOse42VXe3MXWbKiKSj8GJFOPk5ISVK1di1apV8PT0RJ8+fTBt2jQcO3ZM36ZJkyYApIDh7e2tf96lSxe8/PLL6NSpE1q3bo33338fLVu2xJYtWwx+Rr9+/TBp0iQEBQUhKChI//7GjRvD29vbZFioDWfOnEHLli3h7Oxssp2zszPatm2LevXqyd73ggULcOPGDQwbNky/LS8vr8LEsF5eXhUmkNURQiA2NhYPPPAAOnbsWGmbW7duYcqUKRgxYgQ8PDyM1pOXl4emTZtW2N60aVOjP18uY/26ffs2Ll68WKN9V6V3795Ys2YNhg8fDhcXF3h7e8PT0xNLlizRt6lXrx7atm2rP855eXlwcXFBw4YNK9Rs7LNYsWIFIiIi4OfnZ7C9VatWBjMhV3WML168iNLS0mr9HhCRfAxOpKinnnoKOTk52LJlCyIiIrB7927cd999+kHVxty4cQNvvfUWgoOD4enpifr16+O3336rcMbJ1FiRuiBM3BroTs2aNcNvv/2Gnj17ytrvl19+ibi4OKxbt65CWKnO7YliYmJw7NgxfPnll5W+XlJSgsjISJSVlWHp0qX67a+88or+jGH9+vWN/uyqfn5l7tzvnXO1VdYvYz+zNp06dQrjx4/HjBkzcPjwYWzbtg1paWkGtfXs2RO//fYbmjVrZnJfxj6LrKwsbN++HaNHj67w2vfff4+YmBiDbXKOcXV+D4hIPquZjoBsl6urKwYMGIABAwZgxowZGDNmDGbOnFnhksWdJk+ejO3bt2P+/PkICgqCm5sbnn766QoDwN3d3e+pJt2ZlYKCggqXp65evaq/jU9V2rRpgz179qCkpKTKs05yrVu3DqNHj8b69esrDGj29vaWfXui119/HVu2bMFPP/1U6a2ISkpKMGzYMKSlpeGHH34wONsUHx+PSZMmVfjZ58+fr7CfCxcuGL09UmXu/Maj7mca65eTkxMaN24se9/3Ys6cOejTpw8mT54MAOjcuTPc3d3x4IMP4v3336/0/pfe3t4oLi7GlStXDM465efnV3rHg8TERDRu3FjWAPyqjvG93KaKiOTjGSeyOMHBwfpveAHSZSzdN5F0fv75Z0RHR+OJJ55Ap06d4O3trR9fYoqLiwsAVNjf3Vq3bg0HB4cKXwvPzc1FdnY22rZtK6svI0aMwPXr1w3O1typsukOTPnyyy8RHR2NL774wmCMjU5ISEiF2xPt2LHD4I+1EAIxMTHYuHEjfvjhB7Ro0aLCfnSh6cyZM0hKSqoQTpo2baq//BkUFKT/2QUFBfpxZACwf/9+FBQUVOv2SHfuV3c2zVi/evToUWuB1JibN2/CwcHwn0pHR0cAf5/1ulv37t3h7OxsUHNubi5OnDhR4bMQQiAxMREvvPCCrL5UdYx5myoiMzP78HMLwG/VWaaLFy+KsLAwsXr1anH06FHx559/iq+++kp4eXmJUaNG6du1bt1avPrqqyI3N1dcvnxZCCHE448/Lrp27SpSUlJEamqqGDx4sGjQoIF444039O+r7JtVJSUlws3NTbz//vsiLy9PXL161Wh9r776qvD39xebNm0Sf/75p9izZ48IDQ0VnTp1EiUlJRXaG/tW1ltvvSUcHR3F5MmTxd69e0V6erpISkoSTz/9tP7bdllZWaJt27Zi//79Ruv54osvhJOTk/jkk09Ebm6ufrmzD7/88otwdHQUc+fOFb/++quYO3eucHJyMvim26uvvio0Go3YvXu3wX5u3ryp/4yGDBkimjdvLlJTUw3aFBUVGa1PCCEGDhwoOnfuLJKTk0VycrLo1KmTeOyxxwzanDlzRqSkpIiXX35ZtGnTRqSkpIiUlBST+/7zzz9FvXr1xIQJE8SpU6fEihUrhLOzs/j666/1bYqKivT78vHxEZMmTRIpKSnizJkzJms+efKkSElJEYMHDxZ9+/bV70MnMTFRODk5iaVLl4o//vhD7NmzR/To0UP07NlT32b//v2ibdu2IisrS7/tlVdeEc2bNxdJSUniyJEjol+/fqJLly7i9u3bBj8/KSlJABCnTp2qtL5+/fqJJUuW6J/LOcZr164Vzs7OYsWKFeLUqVPizTffFO7u7iI9Pd3kZ0Fkrery7zyDEynm1q1bYsqUKeK+++4TGo1G1KtXT7Rt21a88847+j/iQgixZcsWERQUJJycnPTTEaSlpYmwsDDh5uYm/Pz8xMcffyxCQ0OrDE5CCPF///d/ws/PTzg4OBidjkBXX3x8vGjfvr1wc3MTAQEBIjo6WuTm5lba3lhwEkKIdevWiYceekg0aNBAuLu7i86dO4v4+Hj9dARpaWkCgNi1a5fRekJDQytMpwBAjBw50qDd+vXrRdu2bYWzs7No166d2LBhg8Hrle0DgEhMTDSopbLFVH1CCHHp0iXx3HPPiQYNGogGDRqI5557rsKUC8b6kZaWZnLfu3fvFt26dRMuLi4iMDBQfPrppwavG6vb1DEWouKUF7rlTh999JEIDg4Wbm5uwsfHRzz33HMGIUk3fcWdffjrr79ETEyMaNSokXBzcxOPPfaYyMjIqPDzn332WdG7d2+T9d09/UVVx1gIIT755BMREBAgXFxcxH333Wdyugkia1eXf+dVQhg512xDsrKy4Ofnh8zMzErHchAREZH1qsu/8xzjRERERCQTgxMRERGRTAxORERERDIxOBERERHJxOBEREREJBODExEREZFMDE5EREREMjE4EREREcnE4EREREQkE4MTERERkUwMTkREREQyMTgRERERycTgRERERCQTgxMRERGRTAxORERERDIxOBERERHJxOBEVAMCwEwASwDcVLiWSp04AUyZAhw4oHQlREQ2wUnpAoisWSGA+PLHo5UsxJj164EPPgDOnAE2bFC6GiIiq8czTkQ1kF++rg+gnpKFGLNli7QeMkTZOoiIbASDE1ENnC9feylahRGZmUBqKuDgADz6qNLVEBHZBMWCU3p6OkaPHo0WLVrAzc0NrVq1wsyZM1FcXGzQTqVSVViWLVumUNVEhnRnnJoqWoUR27ZJ65AQoEkTZWshIrIRio1x+u2331BWVoZ//etfCAoKwokTJzB27FjcuHED8+fPN2ibmJiIgQMH6p9rNJq6LpeoUrr/gEoUrcIIFxdpXVSkbB1ERDZEseA0cOBAgzDUsmVL/P777/j0008rBCdPT094e3vXdYlEVfItX+cqWoUR4eHS+tAhID8faGqR58WIiKyKRY1xKigoQKNGjSpsj4mJgVarxf33349ly5ahrKzM5H6KiopQWFioX65du2auksnO+ZSv8wCUKllIZXx8gK5dpcfbtytaChGRrbCY4PTHH39gyZIleOWVVwy2v/fee1i/fj2SkpIQGRmJiRMnYvbs2Sb3NWfOHGg0Gv0SHBxsztLJjnkBUEEKTRcVrqVSjzwirXXjnYiIqEZUQghRmzuMi4vDrFmzTLY5ePAgevTooX+ek5OD0NBQhIaGYvny5Sbfu2DBAsTHx6OgoMBom6KiIhTdMa4jOzsbwcHByMzMRPPmzWX2hEgeb0jfrjsCoJvCtVTw88/AQw8BjRsDFy4AKpXSFRER1bqsrCz4+fnVyd/5Wh/jFBMTg8jISJNtAgMD9Y9zcnIQFhaGkJAQfPbZZ1Xuv1evXigsLMT58+fh5VX5l8DVajXUarX+eWFhobziie6BBlJwuq50IZW5/35pfekScOUKUMmlcCIikq/Wg5NWq4VWq5XVNjs7G2FhYejevTsSExPh4FD1lcOUlBS4urrC09OzhpUS1Q7H8rXFjXECAFdXwNMTuHoVOH+ewYmIqIYU+1ZdTk4O+vbtC39/f8yfPx8XLlzQv6b7Bt3WrVuRl5eHkJAQuLm5YdeuXZg+fTpeeuklgzNKREqy6OAEAF5eUnDKywPat1e6GiIiq6ZYcNqxYwfOnj2Ls2fPVrgeqRt25ezsjKVLlyI2NhZlZWVo2bIl4uPjMW7cOCVKJqqUVQSn33+XzjgREVGNKBacoqOjER0dbbLN3XM9EVki3X9EtxWtwgTdWEAGJyKiGrOY6QiIrJXuP6Ja/XpqbWrQQFrfuKFsHURENoDBiaiWWGxwciy/mFhqsRcTiYisBoMTUQ3pZkay+OBUxYz7RERUNQYnohrSDQ632DFO9epJa956iIioxhiciGqoPJbgL0WrMKFlS2l99qyydRAR2QAGJ6Iaci9f31S0ChNat5bWp08rWwcRkQ1gcCKqId0ZJ4sPTn/8wQHiREQ1xOBEVEMWH5z8/QEXF6C4GMjMVLoaIiKrxuBEVEMu5esiRaswwdERaNJEepyfr2wtRERWjsGJqIaKy9cuJlspqKzs71nDfXyUrYWIyMoxOBHVkMUHp/x84PZtwMEBKL+BNhER3RsGJ6Ia0l2iUytahQm6cU1eXoCzs7K1EBFZOQYnohq6Xr52N9lKQb/9Jq3btFG2DiIiG8DgRFRDuvm4GyhahQm//iqt27dXtg4iIhvA4ERUQxYfnE6dktbBwcrWQURkAxiciGrI4oMTzzgREdUaBieiGtKNcaqvaBVGlJT8fY86BiciohpjcCKqId3Nfd0UrcKICxekeZwcHDiHExFRLWBwIqohi56OQDdTeJMmUngiIqIa4b+kRDUg8PcEmBYZnC5ckNZNmypbBxGRjWBwIqqB23c8tsiZwy9dktaNGytbBxGRjWBwIqqB4jseW2RwKiiQ1hqNsnUQEdkIBieiGmBwIiKyLwxORDVwZ3ByUqwKExiciIhqFYMTUQ3ogpMzAJWShRjD4EREVKsYnIhqwLl8fRtAmZKFGOPhIa2zspStg4jIRjA4EdVAw/K1AFCgZCHGhIZK6927FS2DiMhWMDgR1YAagHv54ytKFmJMnz6AkxOQni4tRERUIwxORDWkGz10VckijKlfH+jSRXqckqJsLURENoDBiaiGdNMQlChahQm6geFFRabbERFRlRiciGpINw3BbZOtFORSHu2Ki023IyKiKikanAIDA6FSqQyWKVOmGLTJyMjA4MGD4e7uDq1Wi/Hjx6OYfwDIgui+WWexZ5wYnIiIao3ic/bFx8dj7Nix+uf169fXPy4tLcWgQYPQpEkT7NmzB5cuXcLIkSMhhMCSJUuUKJeoAt1/RAxORES2T/Hg1KBBA3h7e1f62o4dO3Dq1ClkZmbC19cXALBgwQJER0cjISEBHro5aogU5Fi+LlW0ChlKLb5CIiKLp/gYpw8++ACNGzdG165dkZCQYHAZLjk5GR07dtSHJgCIiIhAUVERDh8+bHSfRUVFKCws1C/Xrl0zax/IvumGXKsVrcKE/Hxp3bSpsnUQEdkARc84vfHGG7jvvvvQsGFDHDhwAFOnTkVaWhqWL18OAMjLy4OXl5fBexo2bAgXFxfk5eUZ3e+cOXMwa9Yss9ZOpKMLTq6KVmGC7r8VI2d2iYhIvlo/4xQXF1dhwPfdy6FDhwAAEyZMQGhoKDp37owxY8Zg2bJlWLFiBS5duqTfn0pV8Q5gQohKt+tMnToVBQUF+uXUqVO13U0ivVvla4s948TgRERUa2r9jFNMTAwiIyNNtgkMDKx0e69evQAAZ8+eRePGjeHt7Y39+/cbtLly5QpKSkoqnIm6k1qthlr995+xwsJCmdUTVZ/u4rJFBqe//gJ0v/8MTkRENVbrwUmr1UKr1d7Te1PKZzb28fEBAISEhCAhIQG5ubn6bTt27IBarUb37t1rp2CiGtIFJxeTrRRy4YK0dnH5+4a/RER0zxQb45ScnIx9+/YhLCwMGo0GBw8exIQJEzBkyBD4+/sDAMLDwxEcHIyoqCjMmzcPly9fxqRJkzB27Fh+o44shkUPDr9zYLiJy9tERCSPYsFJrVZj3bp1mDVrFoqKihAQEICxY8firbfe0rdxdHTEt99+i9deew19+vSBm5sbRowYgfnz5ytVNpEBAQs/48Rv1BER1SrFgtN9992Hffv2VdnO398f33zzTR1URFR9pZDCE2Chwen8eWndpImydRAR2QjF53Eisma37nhskdMR5OZK6zvmQiMionvH4ERUA3/d8dgig1N2trRmcCIiqhUMTkQ1oAtOaljof0y64NSsmbJ1EBHZCIv8t57IWuiCk5uiVZiQkyOtecaJiKhWMDgR1YBujJNFXqYDgMxMac0zTkREtYLBiagGGpSvC/H3t+ssRk6OdLsVBwegbVulqyEisgkMTkQ1oLvxz00A15QspDLJydK6UyegQQPTbYmISBYGJ6IacMffZ522K1lIZXTBKSRE2TqIiGwIgxNRDXUrXw8D8CSAdOVKMXTxorRu3lzZOoiIbAiDE1ENbQHwJgBHAJsAtAcwE9LlO0UFBEjrc+eUrYOIyIYwOBHVkAbAIgBHAfSD9E27eEgBagMUHDTeooW0TktTqgIiIpvD4ERUSzoASAKwHoA/gAwATwMYAOCUEgUxOBER1ToGJ6JapIIUln4F8C6kGcW/B9AZQCiAVwD8E8BOAFkw89koXXA6dw7IyjLnTyIishsMTkRmUA/S5bpTAB4HUArgJwD/gjQeKhyAH6TLfD0BjAQwF9J4qTMAbtdGEc2aSeHp9m2ga1fgf/+rjb0SEdk1J6ULILJlLSENGD8BIBVSkPq1fDkLae6ng+XLnVwAtIE0Tqo9gODydRtUY5ZyR0dgxw5g2DAgJQV49FHg7beB994DnJ1r1C8iInvF4ERUBzqWL3cqhhSe7gxTvwL4DdIA8xPly50cALSAFKLaAWgOwAeAd/naB0D9O98QFATs3QtMmgR88gnwwQfAnj3Af/8LNG5ciz0kIrIPDE5ECnGBdCYp+K7tpQDOwTBM6ZarAP4oX74xsl933BWmXF3h/fHH8Bk+HD7vvw/vvDz4fP01tC+/zGv1RETVxOBEZGEcIV3iawlg0B3bBYA8/B2iTgPILV/yytc3ypez5YuBBx8Etv89v7kjpFvG3H3GyruStcXexJiIqI4xOBFZCRX+Djf9jLS5hr9DlD5QCYG8X35B7o0byG3WDHlt2+KCszNKAeSUL1XxhPFgdedjz/I6iYhsFYMTkQ1pUL60vnNjfDwQFwc4OABbtwIdO6IEQD4qnrGqELogjcW6Wr78WsXPV8N0sNI99gL/8SEi68R/u4hs2apVUmgCgE8/lb5ZB8AZQLPyxRQBKTDdHaYqC1tXARRBGp9V1U1eVAC0MAxTzSHNc8U76xGRJWNwIrJV584Br7wiPZ46FXjppWrvQgWgYfly9yD2u/0F4DyqDljnIQ2Av1C+HLtjH2shfZOQY6qIyFIxOBHZqokTgVu3gNBQ4P33zf7j3AAEli+mlAK4hIoBawmkbwt+CGCGuYokIqohBiciW/T998CGDdIkmEuWSOObLIQjgKblS5c7trcEEAlgDoDny58TEVkay/nXlIhqR0kJMH689Pi114BOnZStR6ZhkL4teAvAGwrXQkRkDIMTkS0RApg3Dzh1CtBqgVmzlK5INhWATyANXP8GQCKAMkUrIiKqiMGJyBYIId1GpWdPYPp0advs2UDDhsrWVU3tAEwsfzwKQCtIN0vOVKwiIiJDDE5E1qysDFi/HujaFXj8ceDQIaBePSk8jR6tdHX3ZCakS3UeANLLnwcAGAhgPaQpD4iIlMLgRGSNSkuBNWuAjh2BYcOAY8eABg2kaQfS06Vv0VnQgPDqcAWwGNI37VYD6AtpPqntkMZBNQPwJoDjilRHRPbOOv9lJbJ3o0YBzz8P/Por4OkJzJwpBabZs4EmTZSurlbUg/Ttul2Q7rs3HVJougTgnwA6AxgCBigiqluKBafdu3dDpVJVuhw8eFDfrrLXly1bplTZRMr7+WfgP/+Rzii9/74UmOLigEaNlK7MbFoBeB/SjOTfAXgK0rQGWyFNafAcpDmgiIjMTbF5nHr37o3c3FyDbe+++y6SkpLQo0cPg+2JiYkYOHCg/rlGo6mTGoksTlkZ8Oab0uOXXvp7ILidcATwSPnyO6SJMr8C8EX5ejSAd1H1rWSIiO6VYmecXFxc4O3trV8aN26MLVu2YNSoUVCpDO+v7unpadDWzc1NoaqJFPaf/wBHjgAeHtLNe+1YWwDrAByBFKRuA/gXgCAAkyFd0iMiqm0WM8Zpy5YtuHjxIqKjoyu8FhMTA61Wi/vvvx/Lli1DWRlndyE7dP26NPgbAGbMsJmxTDXVDdLlu58A9IE0geZ8SDOPvwfgmnKlEZENsphbrqxYsQIRERHw8/Mz2P7ee++hf//+cHNzw/fff4+JEyfi4sWLeOedd4zuq6ioCEVFf39p+do1/tNJVu7mTSA6GsjLA4KCgNdfV7oii/MggJ8B/A/ANABHIV3KWw1gP6QbFRMR1VStn3GKi4szOuhbtxw6dMjgPVlZWdi+fTtGVzLvzDvvvIOQkBB07doVEydORHx8PObNm2eyhjlz5kCj0eiX4OCq7utOZMHOnQMeeEC695yTE/Dxx4CLi9JVWSQVgEchXb5bC2ms0xkAI8FZyImodqiEEKI2d3jx4kVcvHjRZJvAwEC4urrqn7/33ntYsmQJsrOz4ezsbPK9v/zyCx544AHk5eXBy8ur0jZ3n3HKzs5GcHAwMjMz0bx582r0hkhhP/0EPPUUcPGidGnu66+Bhx5SuiqrkQIgBNKkmXMATFG2HCIyk6ysLPj5+dXJ3/lav1Sn1Wqh1WpltxdCIDExES+88EKVoQkAUlJS4OrqCk9PT6Nt1Go11Gq1/nlhYaHseogsghDAsmXSzXpv3wa6dQM2bwb8/ZWuzKp0A/AxgLGQ5oHqBWlCTSKie6X4GKcffvgBaWlplV6m27p1K/Ly8hASEgI3Nzfs2rUL06dPx0svvWQQjIhsSnExEBMD/N//Sc8jI4EVK6RbqVC1jQawB8AqAJGQzkL5KFoREVkzxYPTihUr0Lt3b7Rv377Ca87Ozli6dCliY2NRVlaGli1bIj4+HuPGjVOgUqI68OefwIgRwP79gEoFzJ0LTJ4sPaZ7ogKwFFJgOgagJ4DXAYwBYLtThhKRudT6GCdLVJfXPonu2eefA6+9Bly7Jt1G5YsvgEceUboqm3EGQBiA7PLn9QBEARgPgF8fIbJudfl33mLmcSKyW4WFQFSUtFy7Bjz4IHD0KENTLWsN6Z53/4Z0m5abkCbM7AAgHMC34DfviKhqDE5ESsrOBu67Tzrb5OAAzJoF7NrFQeBm4grgRUiX7XYDeALSP4I7ATwGoB2k+Z+IiIxhcCJS0iefAH/8Afj5SVMPzJgBODoqXZXNUwEIBbAR0s2BJwHwhHQ57w3lyiIiK8DgRKSkbduk9ezZQJ8+ytZipwIBzIM0cNwRwI/lj4mIKsPgRKSUvDwgJUV6HB6ubC0EPwBPlT9eomQhRGTRGJyIlLJjh7Tu3h1o2lTZWgiANE0BAHwO4JKShRCRxWJwIlLK//4nrfntOYvRB9Js47cg3Z7lirLlEJEFYnAiUsql8nMa164pWwfpqQBMLH+8HEBzSGeh/lCsIiKyNAxOREqZMEFaL1ny91gnUtwISJfqOkGa6+ljSHNAPQVgr4J1EZFlYHAiUsojjwDDhwNlZcBLLwGlpUpXRJDOOj0HaT6nnQAGAhCQpi7oAyAEwHoAt5UqkIgUxeBEpKRFiwCNBjh0SJrTiSyGCsDDAP4H4ASkmwW7ANgHYBiks1D/BMALrUT2hcGJSEk+PtKNfAFg+nRpJnGyOB0gjXnKAPAugMYA0gG8CWkag0VKFUZEdY7BiUhpL70E/OMfwPXrwL//rXQ1ZIIXgHhIAWoZgDYACgDEQrrvHRHZPgYnIqU5OABjxkiPt25VthaSpR6AlwH8CmBG+bZxkC7rEZFtY3AisgSPPSatDx4EcnKUrYVkcwAQByAaQCmksU9J5Y+JyDYxOBFZAm9v6XIdALzwwt9zPJHFU0G6TNcfwHUAAwA0BTAcwAoAmcqVRkRmwOBEZCnmzAHc3YHvvwd69gROnFC6IpLJBcDXAJ4H4AHgMoCvAIwB4A+gPYA3AHwLKVwRkfVicCKyFGFhQHIy0KIF8OefQK9ewKZNSldFMnkCWA3pHne/AJgJac4nBwC/AfgIwGMAGgEIAzAHwGEAZQrUSkT3jsGJyJJ06iSNc+rXD7hxA3jySSA+Xpokk6yCE4DekMY+7YUUpDZAGkweCKAEwG4A0wD0gPRNvWcBJALgZBRElo/BicjSNG4MbN8OvPGG9HzmTODpp6UgRVbHE8CTkKYv+BPAGQCfABgKoAGAiwDWAhgF6d54HSFNb7AdQFHdl0tEVWBwIrJETk7S/E4dOkjPN22S7mlHVk0FIAjAawA2Qzob9TOkSTX/Aekf5JOQJtQcCKAJpEHmXwC4WufVElFlGJyILMnt21JI6t9fCk0nT0rb27eX7m1HNsUZwAOQJtXcB+ACpPvgjQHgA+l2Ll9BundeE0i3gFkCaQJOIlKGk9IFEBGA/Hxg+XJg2TIgs/wL7A4OwNChQEyMNHBcpVK2RjK7RgCeLl/KABwC8F9IZ6dOAfi+fBkPoCuky31Dyx/zt4OobjA4ESnpwAHg44+BdeuA4mJpm1YLjB0LvPIK4O+vbH2kGAcAPcuXBABnIYWo/0L61l5q+TIL0pQHuhD1EKQzWURkHgxORHWttBT44gtpzNLBg39v79lTOrv0zDOAq6ty9ZFFCgIwsXy5AGlOqM0AdkC6dLekfPEE8CiApwA8Do7HIKptDE5EdenSJWDECGDHDum5iwsQGQmMGycFJyIZmkC6zUs0gJuQbvPyXwBbIYWqL8qXRyHNLdVIiSKJbBSDE1FdOXRImlbg3DmgXj1g2jTpm3NNmihdGVmxegCGlC+lAJIhnYn6BMB3AO6DNKt5D4XqI7I1PItLVBeWLwf69JFCU1AQsG8fMH06QxPVKkdI39KbDylAtQJwDkAfSPfTE8qVRmQzGJyIzOnWLWDMGGmwd3ExMGSIdOapUyelKyMb1xXSt/IeB1AM4BUAIwFwGlWimmFwIjKXc+eABx4AVqyQphaYPVuao0mjUboyshOeADYC+BDS2ajVAHoBOK1gTUTWjsGJyBwuXgRCQ4HDh6VbqGzbBkydKgUoojqkAjAZ0vxP3gBOALgf0vgnIqo+s/4rnpCQgN69e6NevXrw9PSstE1GRgYGDx4Md3d3aLVajB8/HsW6+WzKHT9+HKGhoXBzc0OzZs0QHx8PIXi1nizU7dvAs89KZ5xatZLC04ABSldFdi4UwBFIY6AKATwG4ANw3BNRdZk1OBUXF+OZZ57Bq6++WunrpaWlGDRoEG7cuIE9e/Zg7dq12LBhAyZOnKhvU1hYiAEDBsDX1xcHDx7EkiVLMH/+fCxcuNCcpRPdu+nTgaQk6ZtzmzcDAQFKV0QEQLqNy/cAXoIUmKZAup3LTSWLIrIyZp2OYNasWQCAlStXVvr6jh07cOrUKWRmZsLX1xcAsGDBAkRHRyMhIQEeHh5Ys2YNbt26hZUrV0KtVqNjx444ffo0Fi5ciNjYWKh4GwqyJBs2AB9+KD3+97+Bjh2VrYfoLi6QvmHXFdKtW74EkAZgNwC1YlURWQ9FB1wkJyejY8eO+tAEABERESgqKsLhw4f1bUJDQ6FWqw3a5OTkID09va5LJjLuzBngxRelxxMnAsOHK1sPkQmvQpo4syGkGwxPUbYcIquhaHDKy8uDl5eXwbaGDRvCxcUFeXl5Rtvonuva3K2oqAiFhYX65dq1a2aonugOf/0lTW557Zr0Tbo5c5SuiKhKoQD+U/54MThgnEiOagenuLg4qFQqk8uhQ4dk76+yS21CCIPtd7fRDQw3dpluzpw50Gg0+iU4OFh2PUT35PXXgWPHpAkt164FnHmbVbIOj0G6ZAdIt3DJVa4UIqtQ7TFOMTExiIyMNNkmMDBQ1r68vb2xf/9+g21XrlxBSUmJ/qySt7d3hTNL+fn5AFDhTJTO1KlTERsbq3+enZ3N8ETms2qVNFeTSgV8+SXQrJnSFRFVywcAfgRwFNIkmdvAuWqIjKl2cNJqtdBqtbXyw0NCQpCQkIDc3Fz4+PgAkAaMq9VqdO/eXd9m2rRpKC4uhouLi76Nr6+v0YCmVqsNxkQVFhbWSr1EBoSQzi7pvjU6axbQv7+yNRHdA1dIg8S7A9gJ4F0A70OaA4qIDJn1fyoyMjKQmpqKjIwMlJaWIjU1Fampqbh+/ToAIDw8HMHBwYiKikJKSgq+//57TJo0CWPHjoWHhwcAYMSIEVCr1YiOjsaJEyewadMmzJ49m9+oI2Xl5QFPPgmMGCGNb3r0UWkaAiIr1R7AkvLHswHEAihTrhwiyyXMaOTIkQLSdCEGy65du/Rtzp07JwYNGiTc3NxEo0aNRExMjLh165bBfo4dOyYefPBBoVarhbe3t4iLixNlZWWy68jMzBQARGZmZm11jexVWZkQq1cL0bChEIAQTk5CzJolRFGR0pUR1Yp/CiFQvkQLIUqULYdIlrr8O68Swvan4M7KyoKfnx8yMzPRvHlzpcsha5WTA7zyCrB1q/S8WzcgMRHo0kXZuohq2X8AjAJQCuBJAF+AczyRZavLv/Mc/0dUFSGkAeAdOkihydkZeP99YP9+hiaySS8A+BrSZJkbAQwGcF3RiogsB4MTUVXGjAGio4GrV4EePYAjR6TxTJxygGzY45DmdXKHNGB8MHhfOyKAwYnItF9+kW6d4ugoTWqZnMzbqJDd6A/p3nZukG7JclDRaogsA4MTkTFCAO+8Iz1+8UVgyhTAyay3dySyOP8AMLT88ZdKFkJkIRiciIz5/ntg927AxQV4912lqyFSzLPl63WQBowT2TMGJ6LKCPH3vEyvvAL4+ytbD5GCIgB4Qrody0/KlkKkOAYnojsJAezZI12aO3AAcHMDpk5VuioiRakhTUsAAB+C37Aj+8YBG0QAcOYM8PnnwOrVQFra39unTQO8vZWri8hCjAWwEtJ97LoAWAXgASULIlIIgxPZr0uXgHXrpLC0b9/f2+vXB556CoiKAvr1U64+IgvSC9K0BC8C+BPAQwAmA4gHJ8ck+8LgRPbn9Gng7beBb78FSkqkbQ4OQHi4FJaGDgXc3ZWtkcgC9QNwDMCbkM4+fQhprqfNAFopVRRRHWNwIvty+zbw+OPAr79Kz7t2lcLSs88CPj5KVkZkFTQAEiFNkDkWwAlIQWqrciUR1SkGJ7Iv//63FJoaNQJ27QI6d1a6IiKrNBRASwCdAWwHcAVAQ0UrIqob/FYd2Y/r14EZM6THM2YwNBHVUCcAHQGUQLpcR2QPGJzIfsyfD5w/D7RqBbz6qtLVENmE4eXrdYpWQVR3GJzIPmRlAfPmSY/nzJFmAyeiGhtWvk4CcFHJQojqCIMT2b4jR4DevYGbN4FevYCnn1a6IiKb0QZAV0i3YvlW2VKI6gSDE9m2NWuAPn2AzEygdWvgP/8BVCqlqyKyKQPL17sUrYKobjA4kW26fRuYNAl4/nng1i3gkUekW6i0bq10ZUQ2J6x8vQuAULIQojrA4ES25/Jl4NFHgQULpOfTpgFbtwKenoqWRWSr+gBwBpABIK2KtkTWjsGJbMvJk8D99wM7dwL16gFffQUkJACOjkpXRmSz3AH0LH/My3Vk6xicyHbs2wc8+CDw559AixZAcjLwzDNKV0VkF3R3dfxK0SqIzI/BiWxDUhLw8MPAlStASAhw8CAnuCSqQ9EAHAHsAHBY2VKIzIrBiazfpk3AoEHAjRvSjXp37gQaN1a6KiK70hLAs+WPZytZCJGZMTiRdVu5UpqXqbgYeOopYMsWwN1d6aqI7NLU8vVGAKeULITIjBicyHp98gnw4otAWZm0XrsWUKuVrorIbgUDeLL88RwlCyEyIwYnsk7XrwOxsdLjCROA5csBJydlayIiTCtfrwVwS8lCiMyEwYmsU2amdHnOw0Oar8mBv8pEluA+APUB3AZwTuFaiMyBf23IOmVnS+vmzXkLFSILogLQovwxJ8MkW8TgRNYpJ0da+/oqWwcRVRBYvj6jZBFEZsLgRNZJNxN4aamydRBRBb3K1/9VtAoi82BwIuvk5SWtz59Xtg4iqmBE+foHANlKFkJkBmYNTgkJCejduzfq1asHz0pusHr06FE8++yz8PPzg5ubG9q3b49//vOfBm3S09OhUqkqLNu2bTNn6WTpvL2lNYMTkcUJBPAgAAHgS2VLIap1Zv3+dnFxMZ555hmEhIRgxYoVFV4/fPgwmjRpgs8//xx+fn7Yu3cvXnrpJTg6OiImJsagbVJSEjp06KB/3qhRI3OWTpZOd8bp0iWgpARwdla2HiIy8DyAnwF8DmCSwrUQ1SazBqdZs2YBAFauXFnp66NGjTJ43rJlSyQnJ2Pjxo0VglPjxo3hrTvLQHTnGcwLFzhInMjCPAPgdQBHAaQC6KpkMUS1yOLGOBUUFFR6NmnIkCFo2rQp+vTpg6+//lqBysii/Ld82GmjRrwvHZEFagjgifLH85UshKiWWVRwSk5OxldffYWXX35Zv61+/fpYuHAhvv76a3z33Xfo378/hg8fjs8//9zofoqKilBYWKhfrl27VhflU10RAvjwQ+lxTAxvs0Jkod4qX68F53Qi21Ht4BQXF1fpYO07l0OHDlW7kJMnT2Lo0KGYMWMGBgwYoN+u1WoxYcIE9OzZEz169EB8fDxee+01fKj7w1mJOXPmQKPR6Jfg4OBq10MW7KefgIMHAVdXKTgRkUW6D0A4gFIACxSuhai2VHuMU0xMDCIjI022CQwMrNY+T506hX79+mHs2LF45513qmzfq1cvLF++3OjrU6dORazuPmYAsrOzGZ5siS40R0cDTZooWgoRmTYFwA4AKwDMANBU2XKIaqzawUmr1UKr1dZaASdPnkS/fv0wcuRIJCQkyHpPSkoKfHx8jL6uVquhvuPyTWFhYY3rJAtx8iTw3XfSbVYmTlS6GiKqQl8APQEcALAIwBxFqyGqObN+qy4jIwOXL19GRkYGSktLkZqaCgAICgpC/fr1cfLkSYSFhSE8PByxsbHIy8sDADg6OqJJ+ZmEVatWwdnZGd26dYODgwO2bt2Kjz76CB988IE5SydLtXixtH7iCSAoSNFSiKhqKgDTAQwF8BGANwF4KVkQUQ2ZNTjNmDEDq1at0j/v1q0bAGDXrl3o27cv1q9fjwsXLmDNmjVYs2aNvl1AQADS09P1z99//32cO3cOjo6OaNOmDf7973/j+eefN2fpZIkuXABWr5YeT5igbC1EJNtg/H3WKQFSgCKyViohhFC6CHPLysqCn58fMjMz0bx5c6XLoXv1/vvAu+8CPXoABw5Il+uIyCp8D+BhAM6Qbv4boGw5ZGPq8u+8RU1HQGRUURHwySfS4wkTGJqIrEx/AP0AlACYpXAtRDXB4ETWYeNGIC9PmiH86aeVroaI7sHs8vUqAH8qWQhRDTA4kXXYuVNaR0UBLi7K1kJE9+QfAEIBlAHgbdrJWjE4kXX45Rdp/eCDytZBRDWim974B0WrILp3DE5k+S5cAE6flh6HhChbCxHVSFj5ejekM09E1obBiSxfcrK0Dg6WbupLRFbrfgDuAC4BOKFwLUT3gsGJLN+ePdK6Tx9l6yCiGnMGoLvgvlPJQojuEYMTWb6tW6V1WJjpdkRkFQaVr/8DwOYnEiSbw+BElu3UKeC336Rv0g0aVHV7IrJ4IwC4AjgG4KDCtRBVF4MTWbYNG6T1gAGAh4eytRBRrWgE4Jnyx58pWQjRPWBwIsu2caO0fvJJZesgolr1Uvl6LYBCJQshqiYGJ7JcZ84AqamAoyMwZIjS1RBRLeoDoD2AGwDWKVwLUXUwOJHl0t2bbsAAQKtVthYiqlUqALqbJ+1TshCiamJwIst09SqwYoX0eMIERUshIvPoUL7+VdEqiKqHwYks0/LlwPXrQIcO0hknIrI5weXrX8FpCch6MDiR5bl9G/joI+lxbCygUilbDxGZRRtIf4SuAshTthQi2RicyPJs3gxkZgJNmwIjRihdDRGZiRpAy/LHp5QshKgaGJzI8mzaJK1ffBFwdVW2FiIyq67l6wNKFkFUDQxOZFnKyoAdO6THjz6qbC1EZHYPlK9/VrQKIvkYnMiypKQAFy8CDRoAISFKV0NEZvZQ+foXAKVKFkIkE4MTWZa5c6X1gAGAs7OytRCR2XWGdAuWQgCrFK6FSA4GJ7IcO3YAX38NODgAM2YoXQ0R1QFHANPLH0+B9A07IkvG4ESWoagIiImRHo8fD3Tpomw9RFRnXod0+5ULAGYqXAtRVRicyDLMmyfdm87HB5g1S+lqiKgOOQMon7kNnwA4oWAtRFVhcCLlpaUBCQnS4wULAA8PZeshojr3MIAnIQ0Qfx2cSZwsF4MTKW/OHODWLSAsDIiMVLoaIlLIQkhnn3YDSFe0EiLjGJxIWfn5wH/+Iz2Oj+ftVYjsWAD+vn/dcSULITKBwYmU9ckn0sDwnj2BPn2UroaIFNaxfM3gRJaKwYmUc/MmsHSp9HjSJJ5tIiJ0Kl8zOJGlYnAi5axcKc0SHhgIPPGE0tUQkQXQBSd+s44sFYMTKePQIWDyZOnxhAmAk5Oy9RCRRdCNcToNfrOOLJNZg1NCQgJ69+6NevXqwdPTs9I2KpWqwrJs2TKDNsePH0doaCjc3NzQrFkzxMfHQwj+J2W1/vwTGDRIulQ3YADw6qtKV0REFqJJ+boEwA0lCyEywqz/m19cXIxnnnkGISEhWLFihdF2iYmJGDhwoP65RqPRPy4sLMSAAQMQFhaGgwcP4vTp04iOjoa7uzsmTpxozvLJHC5dAh55RPo2Xdeu0i1WeE86IipXD4ALgGIAlwHUV7YcogrMGpxmlc8AvXLlSpPtPD094e3tXelra9aswa1bt7By5Uqo1Wp07NgRp0+fxsKFCxEbGwsVBxRbj7/+AgYPBk6fBvz9gW+/5WSXRGRABemmv3mQgpO/suUQVWARY5xiYmKg1Wpx//33Y9myZSgrK9O/lpycjNDQUKjVav22iIgI5OTkID09vdL9FRUVobCwUL9cu3bN3F2gqpSWAs89ByQnA56ewP/+B/j6Kl0VEVmgRuXry4pWQVQ5xYPTe++9h/Xr1yMpKQmRkZGYOHEiZs+erX89Ly8PXl5eBu/RPc/Ly6t0n3PmzIFGo9EvwcHBlbajOiIE8MYbwKZNgIsL8N//AjwmRGRE0/J1mqJVEFWu2sEpLi6u0gHddy6HDh2Svb933nkHISEh6Nq1KyZOnIj4+HjMmzfPoM3dl+N0A8ONXaabOnUqCgoK9MupU6eq2UuqVR9+KE10qVIBq1cDDz2kdEVEZMF0U+H+oGgVRJWr9hinmJgYRFZxP7HAwMB7rQe9evVCYWEhzp8/Dy8vL3h7e1c4s5Sfnw8AFc5E6ajVaoNLe4WFhfdcD9XQ6tXAlCnS40WLgGHDlK2HiCxefwAJkIKTgDTuichSVDs4abVaaLVac9QCAEhJSYHr/7N33+FRVH0bx78hjRAglAAhdKRoABFBHgIqoFIUASsgGomAYsEGomCjKEVFLPAgFgQeK0rxRSwUBRWJ1AQpIkVKgER6QpEkkPP+MdmVkB6ymd3s/bmuuWZ3dnb2Pjsh+XFm5kzp0s7hCyIjI3n22WdJTU0lICAAgMWLFxMeHn5RBZoUgyVLoH9/6/FTT1mH60RE8hAJlMY6QXwL0MTeOCKZuPQcp7179xIXF8fevXs5d+4ccXFxxMXFcfLkSQC+/vpr3n//fTZt2sTOnTv54IMPeO6553jggQecPUZ9+/YlMDCQ6OhoNm3axPz58xk3bpyuqHN369bBbbfB2bNw113wyit2JxIRD1EauDrjsQ7Xibtx6XAEL774IrNmzXI+b9GiBQDLli2jQ4cO+Pv7M3XqVIYMGUJ6ejr169dnzJgxPPLII873hISEsGTJEh555BFatWpFxYoVGTJkCEOGDHFldLkYMTHWWE0nT8J118GMGVDK9usQRMSDXAcsBX4BHrU5i8j5fIwXDMG9b98+atWqRXx8PDVr1rQ7Tsm2bJk1VtOpU3D11RqrSUQKZTHQBWgE/GlzFnF/xfl3Xt0AUnS+/RZuuskqmjp1gu+/V9EkIoXSPGO+Hd16RdyLCicpGnPnwi23wJkz0KMHLFgAwcF2pxIRD1UNazwnA2yyOYvI+VQ4ycX7/HNrmIG0NOjd27r/XOnSdqcSEQ/n6HXaYGsKkcxUOMnFOXkSHnwQ0tPhvvvgk090014RKRJNM+ZbbU0hkplLr6oTL/C//0FSEjRsCB98oKvnRKTIVMmYH7czhMgF9FdOCi89Hd5+23r86KMqmkSkSFXImB+3MYPIhfSXTgpv8WL4808oVw6io+1OIyIlTIWM+XEbM4hcSIWTFJ6jt6l/f6t4EhEpQhUy5sdtzCByIRVOUjiHD8N331mPBw+2N4uIlEghGfPjdoYQuYAKJymclSut+WWXQYMG9mYRkRKpTMb8jK0pRDJT4SSFs2KFNb/66tzXExEpJMdocP/YmkIkMxVOUjjLllnza66xN4eIlFhBGfNTQIqdQUTOo8JJCu6PP2DtWvD1te5JJyLiAjUzpjTgc5uziDiocJKCmzHDmnfrBmFh9mYRkRLLF3g44/FbWPetE7GbCicpmLQ0a7RwsIYhEBFxoQewznWKBX61OYsIqHCSgvruO/j7b6haFW66ye40IlLCVQbuyXj8lp1BRDKocJKCee89a37vvbqZr4gUi8cy5vOAw3YGEUGFkxTEH3/AN9+Ajw/cf7/daUTESzQDqgHpwH6bs4iocJL8mzTJmvfsCY0a2ZtFRLyK46ZOJ2xNIaLCSfIrMfHfk8KfesreLCLidVQ4ibtQ4ST5M2UKpKZCmzbQtq3daUTEy6hwEnehwknydvgw/Pe/1uNhw6xznEREipGjcEq2NYWICifJj6efhuPHoVkz6/wmEZFiVjNjvsfWFCIqnCQvP//870jh06ZZt1kRESlmjstR/rQ1hYgKJ8lNaio89JD1+P77dW6TiNimccZchZPYTYWT5Oz112HLFqhSBSZMsDuNiHgxR4/TdqzxnETsosJJsvfLLzBmjPX49dehUiV784iIV6sH+AP/APE2ZxHvpsJJsoqJse5Dd+YM3Hwz3HNP3u8REXEhP+CSjMfb7AwiXk+Fk2S2ejV07QonT8L118MXX2j4ARFxC47DdSqcxE4qnORf69dDly6QnAzt28OCBRAUZHcqERFAhZO4BxVOYvn9d+jUyRqvqV07WLgQypSxO5WIiJMKJ3EHLi2cxo4dS9u2bSlTpgwVKlTI8vrMmTPx8fHJdjp48CAAu3fvzvb177//3pXRvcvJk1ZP09Gj8J//wLffQtmydqcSEclEhZO4Az9Xbjw1NZU777yTyMhIpk+fnuX13r1707Vr10zLoqOjOXPmDFWrVs20fOnSpTRp0sT5vJKu8io606dbN/GtVw++/x7Kl7c7kYhIFo6/CsftDCFez6WF0+jRowGrZyk7QUFBBJ13Ds2hQ4f48ccfsy2yKleuTFhYmEtyerW0NJg0yXr8zDOQTc+giIg7CMyYp9iaQrydW53j9L///Y8yZcpwxx13ZHmtR48eVK1alXbt2jFnzpxct5OSkkJycrJzOnFC99PO0RdfwN69ULUq3Huv3WlERHKkwkncgVsVTh9++CF9+/bN1AtVtmxZJk2axJw5c/j222+5/vrr6d27Nx9//HGO2xk/fjwhISHOKSIiojjiex5j4NVXrcePPaYr6ETErTkKp7No9HCxT4ELp1GjRuV4QrdjWrt2bYGDxMTEsGXLFgYMGJBpeWhoKE8++SStW7emVatWjBkzhocffphXHX/wszFixAiSkpKc05YtWwqcxyssW2ZdTRcc/O896URE3FTgeY/P2JZCvF2Bz3EaPHgwffr0yXWdunXrFjjIBx98wBVXXEHLli3zXLdNmzZ88MEHOb4eGBhIYOC//8SSk5MLnMcrfPutNe/VS7dUERG3F4z1R+sscBTQgClihwIXTqGhoYSGhhZpiJMnT/LFF18wfvz4fK0fGxtL9erVizSDV1q2zJrfcIO9OURE8qEUUA3YDyQCNe2NI17KpVfV7d27l6NHj7J3717OnTtHXFwcAA0aNKDseeMEzZ49m7Nnz3L33Xdn2casWbPw9/enRYsWlCpViq+//pq3336bV155xZXRS75jxyA21nrcsaO9WURE8ikMq3BKsDuIeC2XFk4vvvgis2bNcj5v0aIFAMuWLaNDhw7O5dOnT+e2226jYsWK2W7n5ZdfZs+ePfj6+tKoUSM+/PBD7tGNZy/Ozz9bJ4c3bgzqvRMRD+EYlCbR1hTizVxaOM2cOTPHMZzOt3Llyhxf69evH/369SvCVALAjz9ac/U2iYgHcfw3Tz1OYhe3Go5Aiokx8M031uNOnezNIiJSAHUz5jvsDCFeTYWTN/rzT9i5EwICVDiJiEdxjMqnQWbELiqcvNHChda8QwcoV87WKCIiBeEonP5Ag2CKPVQ4eaOvv7bmN99sbw4RkQK6BPAHTgN7bc4i3kmFk7eZPRt+/dV6rMJJRDyMH9A447EO14kdVDh5i+Rk6ya+ffrAuXPQowfUq2d3KhGRAnMMfHnI1hTirVQ4eYOVK+GKK+Cjj6BUKXjxRZgzx+5UIiKF4rjVymlbU4i3cuk4TmKzs2fh5ZfhpZcgPR3q1oWPP4Z27exOJiJSaMEZ81O2phBvpcKppNq5E+65B377zXp+zz0wZQqEhNibS0TkIqnHSeykwqkkWr/eGhE8OdkqlN55B+66y+5UIiJFwlE4qcdJ7KDCqaTZuxe6dbOKpjZt4PPPoU4du1OJiBSZ0hnzFFtTiLdS4VSSJCXBTTdBYiI0bQrff69DcyJS4vhnzNNsTSHeSlfVlRSpqXD77bB5M1SvDt9+q6JJREokFU5iJxVOJYExMGgQ/PADlC1r3cC3Vi27U4mIuIQKJ7GTCidPZwyMGAEzZ4KvL3zxBbRoYXcqERGXcRROqbamEG+lc5w8mTHw9NMwcaL1fOpUuPFGezOJiLhYfMa8sq0pxFupcPJUxsCQIfDmm9bzKVPggQdsjSQiUhzWZ8xb2ppCvJUKJ09kDDz2mFUsAUybZp3jJCJSwqUDsRmPVTiJHVQ4eZr0dBg82BrU0scH3n8fBgywO5WISLHYAZwAgoBLbc4i3kmFk6eZOPHfounDDyE62u5EIiLFxnGYrjn6Ayb20FV1nuabb6z5hAkqmkTE6xzOmGvAFbGLCidPs22bNe/Y0d4cIiI28rE7gHgtFU6eJDnZup0KQMOG9mYRERHxQiqcPMn27da8alWoUMHWKCIiIt5IhZMncRRO9evbm0NExGbG7gDitVQ4eZKaNa352rWwdau9WUREbFAlY77L1hTizVQ4eZKrr4abb4azZ+HRR62BMEVEvEibjHkc8I+NOcR7qXDyNG++CYGBsHQpzJtndxoRkWJVG6gOnAXW2pxFvJMKJ09zySXWjX0BnnwSTp60ep7On0RESigfIDLj8Up0rpMUPxVOnmj4cKhTB+LjoVw5KFXq36lTJ7vTiYi4lKNwGo7+iEnx08+cJypTBqZOBV9fu5OIiBS7HnYHEK/mssJp9+7dDBgwgHr16hEUFMQll1zCyJEjSU1NzbTe3r176d69O8HBwYSGhvLYY49lWWfjxo20b9+eoKAgatSowZgxYzDefkjqppsgKQkOHco8zZ1rdzIREZdqhHVi+G7gkL1RxAu57B6JW7duJT09nXfffZcGDRqwadMm7r//fk6dOsXEiRMBOHfuHN26daNKlSqsWLGCI0eO0K9fP4wxTJ48GYDk5GQ6depEx44dWbNmDdu2bSM6Oprg4GCGDh3qqvieITjYmkREvExpoI7dIcQr+Zhi7Lp57bXXeOedd/jrr78A+O6777j55puJj48nPDwcgM8//5zo6GgOHjxI+fLleeeddxgxYgR///03gYGBAEyYMIHJkyezb98+fHzyvmPRvn37qFWrFvHx8dR0jIUkIiIiJUJx/p13WY9TdpKSkqhUqZLzeUxMDE2bNnUWTQBdunQhJSWFdevW0bFjR2JiYmjfvr2zaHKsM2LECHbv3k29evWyfE5KSgopKSmZPhcgISHBFc0SERERGzn+vicnJ2OMyVenSmEVW+G0c+dOJk+ezOuvv+5clpiYSLVq1TKtV7FiRQICAkjMuJltYmIidevWzbSO4z2JiYnZFk7jx49n9OjRWZa3bt36YpshIiIibqpJkyYkJSVRvnx5l31GgQunUaNGZVuUnG/NmjW0atXK+fzAgQN07dqVO++8k4EDB2ZaN7uq8MJq8cJ1HEcXc6ooR4wYwZAhQ5zPjx49Sr169di0aRMhISG5ZvdGJ06cICIigi1btlCuXDm747glfUe50/eTO30/edN3lDt9P7lLSkqiadOm7N692+XfT4ELp8GDB9OnT59c1zm/h+jAgQN07NiRyMhI3nvvvUzrhYWFsWrVqkzLjh07RlpamrNXKSwszNn75HDw4EGALL1VDoGBgZkO7TnUqlXLpVWop0pOTgagRo0a+n5yoO8od/p+cqfvJ2/6jnKn7yd3ju+kYsWKLj1MB4UonEJDQwkNDc3Xuvv376djx460bNmSGTNmUKpU5tEPIiMjGTt2LAkJCVSvXh2AxYsXExgYSMuWLZ3rPPvss6SmphIQEOBcJzw8PMshPBERERFXctk4TgcOHKBDhw7UqlWLiRMncujQIRITEzP1HnXu3JmIiAiioqKIjY3lhx9+4KmnnuL+++93Vo99+/YlMDCQ6OhoNm3axPz58xk3bhxDhgxxeVUpIiIicj6XnRy+ePFiduzYwY4dO7JcGug4R8nX15dvvvmGhx9+mHbt2hEUFETfvn2d4zwBhISEsGTJEh555BFatWpFxYoVGTJkSKZzmPISGBjIyJEjsz18J/p+8kPfUe70/eRO30/e9B3lTt9P7orz+ynWcZxEREREPJnuVSciIiKSTyqcRERERPJJhZOIiIhIPqlwEhEREcmnEl041a1bFx8fnyzTI488Ync0t3D27Fmef/556tWrR1BQEPXr12fMmDGkp6fbHc1tnDhxgieeeII6deoQFBRE27ZtWbNmjd2xbPPzzz/TvXt3wsPD8fHx4auvvsr0ujGGUaNGER4eTlBQEB06dGDz5s32hLVBXt/PvHnz6NKlC6Ghofj4+BAXF2dLTrvk9v2kpaXxzDPP0KxZM4KDgwkPD+fee+/lwIED9gW2QV4/Q6NGjeLSSy8lODiYihUrcsMNN2QZSLoky+v7Od+gQYPw8fHhzTffLNIMJbpwWrNmDQkJCc5pyZIlANx55502J3MPr7zyCtOmTWPKlCn88ccfvPrqq7z22mtMnjzZ7mhuY+DAgSxZsoSPPvqIjRs30rlzZ2644Qb2799vdzRbnDp1iubNmzNlypRsX3/11VeZNGkSU6ZMYc2aNYSFhdGpUydOnDhRzEntkdf3c+rUKdq1a8eECROKOZl7yO37OX36NOvXr+eFF15g/fr1zJs3j23bttGjRw8bktonr5+hRo0aMWXKFDZu3MiKFSuoW7cunTt35tChQ8Wc1B55fT8OX331FatWrSI8PLzoQxgv8vjjj5tLLrnEpKen2x3FLXTr1s30798/07LbbrvN3HPPPTYlci+nT582vr6+ZuHChZmWN2/e3Dz33HM2pXIfgJk/f77zeXp6ugkLCzMTJkxwLjtz5owJCQkx06ZNsyGhvS78fs63a9cuA5jY2NhizeROcvt+HFavXm0As2fPnuIJ5Wby8x0lJSUZwCxdurR4QrmRnL6fffv2mRo1aphNmzaZOnXqmDfeeKNIP7dE9zidLzU1lY8//pj+/ftrxPEMV199NT/88APbtm0DYMOGDaxYsYKbbrrJ5mTu4ezZs5w7d47SpUtnWh4UFMSKFStsSuW+du3aRWJiIp07d3YuCwwMpH379qxcudLGZOKpkpKS8PHxoUKFCnZHcUupqam89957hISE0Lx5c7vjuIX09HSioqIYNmwYTZo0cclnuGzkcHfz1Vdfcfz4caKjo+2O4jaeeeYZkpKSuPTSS/H19eXcuXOMHTuWu+66y+5obqFcuXJERkby0ksvcdlll1GtWjU+++wzVq1aRcOGDe2O53Yct1O68Obb1apVY8+ePXZEEg925swZhg8fTt++fXVT2wssXLiQPn36cPr0aapXr86SJUvyfQ/Zku6VV17Bz8+Pxx57zGWf4TU9TtOnT+fGG290zfFODzV79mw+/vhjPv30U9avX8+sWbOYOHEis2bNsjua2/joo48wxlCjRg0CAwN5++236du3L76+vnZHc1sX9ugaY9TLKwWSlpZGnz59SE9PZ+rUqXbHcTsdO3YkLi6OlStX0rVrV3r16sXBgwftjmW7devW8dZbbzFz5kyX/s7xisJpz549LF26lIEDB9odxa0MGzaM4cOH06dPH5o1a0ZUVBRPPvkk48ePtzua27jkkkv46aefOHnyJPHx8axevZq0tDTq1atndzS3ExYWBpDpRt4ABw8ezNILJZKTtLQ0evXqxa5du1iyZIl6m7IRHBxMgwYNaNOmDdOnT8fPz4/p06fbHct2v/zyCwcPHqR27dr4+fnh5+fHnj17GDp0KHXr1i2yz/GKwmnGjBlUrVqVbt262R3FrZw+fZpSpTL/CPj6+mo4gmwEBwdTvXp1jh07xqJFi+jZs6fdkdxOvXr1CAsLc169CtY5GD/99BNt27a1MZl4CkfRtH37dpYuXUrlypXtjuQRjDGkpKTYHcN2UVFR/P7778TFxTmn8PBwhg0bxqJFi4rsc0r8OU7p6enMmDGDfv364edX4ptbIN27d2fs2LHUrl2bJk2aEBsby6RJk+jfv7/d0dzGokWLMMbQuHFjduzYwbBhw2jcuDH33Xef3dFscfLkSXbs2OF8vmvXLuLi4qhUqRK1a9fmiSeeYNy4cTRs2JCGDRsybtw4ypQpQ9++fW1MXXzy+n6OHj3K3r17nWMT/fnnn4DVW+fosSvJcvt+wsPDueOOO1i/fj0LFy7k3Llzzt7LSpUqERAQYFfsYpXbd1S5cmXGjh1Ljx49qF69OkeOHGHq1Kns27fPa4bZyevf2IXFtr+/P2FhYTRu3LjoQhTpNXpuaNGiRQYwf/75p91R3E5ycrJ5/PHHTe3atU3p0qVN/fr1zXPPPWdSUlLsjuY2Zs+eberXr28CAgJMWFiYeeSRR8zx48ftjmWbZcuWGSDL1K9fP2OMNSTByJEjTVhYmAkMDDTXXnut2bhxo72hi1Fe38+MGTOyfX3kyJG25i4uuX0/jiEaspuWLVtmd/Rik9t39M8//5hbb73VhIeHm4CAAFO9enXTo0cPs3r1artjF5u8/o1dyBXDEfgYY0zRlWEiIiIiJZdXnOMkIiIiUhRUOImIiIjkkwonERERkXxS4SQiIiKSTyqcRERERPJJhZOIiIhIPqlwEhEREcknFU4iIiIi+aTCSURERCSfVDiJiIiI5JMKJxEREZF8UuEkIiIikk8qnERERETySYWTiIiISD6pcBIRERHJJxVOIiIiIvmkwklEREQkn1Q4iYiIiOSTxxVO77zzDpdffjnly5enfPnyREZG8t133zlfnzdvHl26dCE0NBQfHx/i4uLytd25c+cSERFBYGAgERERzJ8/30UtKDxXtH3mzJn4+Phkmc6cOePClhRcbm1PS0vjmWeeoVmzZgQHBxMeHs69997LgQMH8tyup+/3wrbdU/Y75P1zP2rUKC699FKCg4OpWLEiN9xwA6tWrcpzu56+76FwbfeUfZ9X2883aNAgfHx8ePPNN/Pcrifsd3BN+0vKvo+Ojs7ShjZt2uS53aLa9x5XONWsWZMJEyawdu1a1q5dy3XXXUfPnj3ZvHkzAKdOnaJdu3ZMmDAh39uMiYmhd+/eREVFsWHDBqKioujVq1e+fvkWJ1e0HaB8+fIkJCRkmkqXLu2KJhRabm0/ffo069ev54UXXmD9+vXMmzePbdu20aNHj1y3WRL2e2HbDp6x3yHvn/tGjRoxZcoUNm7cyIoVK6hbty6dO3fm0KFDOW6zJOx7KFzbwTP2fV5td/jqq69YtWoV4eHheW7TU/Y7uKb9UHL2fdeuXTO14dtvv811m0W6700JULFiRfPBBx9kWrZr1y4DmNjY2Dzf36tXL9O1a9dMy7p06WL69OlTlDFd4mLbPmPGDBMSEuKacC6WXdsdVq9ebQCzZ8+eHN9f0va7Q37a7sn73Zjc25+UlGQAs3Tp0hzfX1L3fX7a7sn7/sK279u3z9SoUcNs2rTJ1KlTx7zxxhu5vt+T97sxF9/+krLv+/XrZ3r27Fmg9xflvve4HqfznTt3js8//5xTp04RGRlZ6O3ExMTQuXPnTMu6dOnCypUrLzaiyxRV2wFOnjxJnTp1qFmzJjfffDOxsbFFlNI18tP2pKQkfHx8qFChQo7bKan7PT9tB8/b75B3+1NTU3nvvfcICQmhefPmOW6nJO77/LYdPG/fZ9f29PR0oqKiGDZsGE2aNMnXdjxxv0PRtR9Kxr4HWL58OVWrVqVRo0bcf//9HDx4MNftFOm+L3Cp5QZ+//13ExwcbHx9fU1ISIj55ptvsqxTkF4Xf39/88knn2Ra9sknn5iAgICiilxkirrtMTEx5qOPPjJxcXHm559/NrfffrsJCgoy27Ztc0H6i5OfthtjzD///GNatmxp7r777ly3V9L2uzH5b7sn7Xdj8m7/119/bYKDg42Pj48JDw83q1evznV7JWnfF7TtnrTvc2v7uHHjTKdOnUx6eroxxuSrx8WT9rsxRd/+krLvP//8c7Nw4UKzceNGs2DBAtO8eXPTpEkTc+bMmRy3V5T73iMLp5SUFLN9+3azZs0aM3z4cBMaGmo2b96caZ2CFk6ffvpppmUff/yxCQwMLMrYRaKo236hc+fOmebNm5tHH320iBIXnfy0PTU11fTs2dO0aNHCJCUl5bq9krbfC9L2C7nzfjcm7/afPHnSbN++3cTExJj+/fubunXrmr///jvH7ZWkfV/Qtl/Infd9Tm1fu3atqVatmtm/f79z3fwWTp6y340p+vZfyBP3fXYOHDhg/P39zdy5c3PcXlHue48snC50/fXXmwceeCDTsoIUD7Vq1TKTJk3KtGzSpEmmdu3aRRnTJS627dkZOHBglmPB7ujCtqempppbbrnFXH755ebw4cN5vr8k7feCtj07nrLfjcn+5/58DRo0MOPGjcvx9ZK07y+UV9uz4yn73tH2N954w/j4+BhfX1/nBJhSpUqZOnXq5Ph+T97vxlx8+7Pjafs+Jw0aNDATJkzI8fWi3PcefY6TgzGGlJSUQr8/MjKSJUuWZFq2ePFi2rZte7HRXO5i257d9uLi4qhevXqRbdNVzm97WloavXr1Yvv27SxdupTKlSvn+f6Sst8L0/bstucp+x3y/rnP6/WSsu8L83p263vKvne0LSoqit9//524uDjnFB4ezrBhw1i0aFGO7/fk/Q4X3/7studp+z47R44cIT4+Ptd2FOm+L3CpZbMRI0aYn3/+2ezatcv8/vvv5tlnnzWlSpUyixcvNsYYc+TIERMbG2u++eYbA5jPP//cxMbGmoSEBOc2oqKizPDhw53Pf/31V+Pr62smTJhg/vjjDzNhwgTj5+dnfvvtt2JvX25c0fZRo0aZ77//3uzcudPExsaa++67z/j5+ZlVq1YVe/tyk1vb09LSTI8ePUzNmjVNXFycSUhIcE4pKSnObZTE/V7YtnvKfjcm9/afPHnSjBgxwsTExJjdu3ebdevWmQEDBpjAwECzadMm5zZK4r4vbNs9Zd/n9fvuQtkdqvLU/W6Ma9pfEvb9iRMnzNChQ83KlSvNrl27zLJly0xkZKSpUaOGSU5Odm7Dlfve4wqn/v37mzp16piAgABTpUoVc/3112f6QZoxY4YBskwjR450rtO+fXvTr1+/TNv98ssvTePGjY2/v7+59NJLcz1WahdXtP2JJ54wtWvXdm6zc+fOZuXKlcXYqvzJre2OQ5PZTcuWLXNuoyTu98K23VP2uzG5t/+ff/4xt956qwkPDzcBAQGmevXqpkePHllOkC6J+76wbfeUfZ/X77sLZVc4eOp+N8Y17S8J+/706dOmc+fOpkqVKsbf39/Url3b9OvXz+zduzfTNly5732MMabg/VQiIiIi3qdEnOMkIiIiUhxUOImIiIjkkwonERERkXxS4SQiIiKSTyqcRERERPJJhZOIiIhIPqlwEhEREcknjymcpk6dSr169ShdujQtW7bkl19+yfd7U1JSGDVqVJHemsRTeHPbwbvbr7Z7Z9vBu9uvtntn26H42u8RA2DOnj2bqKgopk6dSrt27Xj33Xf54IMP2LJlC7Vr187z/cnJyYSEhJCUlET58uWLIbH78Oa2g3e3X233zraDd7dfbffOtkPxtd8jepwmTZrEgAEDGDhwIJdddhlvvvkmtWrV4p133rE7moiIiHgRty+cUlNTWbduHZ07d860vHPnzqxcudKmVCIiIuKN/OwOkJfDhw9z7tw5qlWrlml5tWrVSExMzPY9KSkpmY5xHj16FID4+HhCQkJcF9YNnThxAoD9+/eTnJxsc5ri583tV9u9s+3g3e1X272z7enp6ezcuRMAV5+B5PaFk4OPj0+m58aYLMscxo8fz+jRo7Msb9q0qUuyeYKIiAi7I9jKm9uvtnsvb26/2u69UlNTXbp9ty+cQkND8fX1zdK7dPDgwSy9UA4jRoxgyJAhzufx8fE0bdqU1atXU716dZfmFRERkeKVkJBA69at2bx5M6GhoS79LLcvnAICAmjZsiVLlizh1ltvdS5fsmQJPXv2zPY9gYGBBAYGOp87Ds9Vr16dmjVrujawiIiI2KJ8+fI5Ho0qKm5fOAEMGTKEqKgoWrVqRWRkJO+99x579+7lwQcftDuaiIiIeBGPKJx69+7NkSNHGDNmDAkJCTRt2pRvv/2WOnXq2B1NREREvIjbD0fg8PDDD7N7925SUlJYt24d1157rd2RRETEDURHR3PLLbcU62f6+Pjw1VdfFetninvwmMJJSqaDBw8yaNAgateuTWBgIGFhYXTp0oWYmBjnOkX5C2r37t34+PgQFxeX63rLly/Hx8eH48ePZ3ntiiuuYNSoUc51cptmzpwJwNy5c+nQoQMhISGULVuWyy+/nDFjxjiHysiPefPm0alTJ6pUqUL58uWJjIxk0aJFWdabO3cuERERBAYGEhERwfz58zO9Pn78eK666irKlStH1apVueWWW/jzzz+dr6elpfHMM8/QrFkzgoODCQ8P59577+XAgQN5Zjx27BhRUVGEhIQQEhJCVFRUlu/w8ccfp2XLlgQGBnLFFVfku/0//fQTLVu2pHTp0tSvX59p06Zlen3z5s3cfvvt1K1bFx8fH9588808t7l8+XJ69uxJ9erVCQ4O5oorruCTTz4p8GdnZ9CgQVxyySUEBQVRpUoVevbsydatWzN9dk4/N2vWrMl123ntYyj4bapmzpyJj48PXbt2zbT8+PHj+Pj4sHz58kzLFy5cSIcOHShXrhxlypThqquucv68X2jWrFm0bt2a4OBgypUrx7XXXsvChQszreP4Ppo2bcq5c+cyvVahQoUcty1S3FQ4ia1uv/12NmzYwKxZs9i2bRsLFiygQ4cOBSoo8quoL1Ft27YtCQkJzqlXr1507do107LevXvz3HPP0bt3b6666iq+++47Nm3axOuvv86GDRv46KOP8v15P//8M506deLbb79l3bp1dOzYke7duxMbG+tcJyYmht69exMVFcWGDRuIioqiV69erFq1yrnOTz/9xCOPPMJvv/3GkiVLOHv2LJ07d+bUqVMAnD59mvXr1/PCCy+wfv165s2bx7Zt2+jRo0eeGfv27UtcXBzff/8933//PXFxcURFRWVaxxhD//796d27d77bvmvXLm666SauueYaYmNjefbZZ3nssceYO3euc53Tp09Tv359JkyYQFhYWL62u3LlSi6//HLmzp3L77//Tv/+/bn33nv5+uuvC/TZ2WnZsiUzZszgjz/+YNGiRRhj6Ny5s7MouPDnJyEhgYEDB1K3bl1atWqV43bzs49nz57NE088wXPPPUdsbCzXXHMNN954I3v37s01s5+fHz/88APLli3Ldb3JkyfTs2dP2rZty6pVq/j999/p06cPDz74IE899VSmdZ966ikGDRpEr1692LBhA6tXr+aaa66hZ8+eTJkyJcu2d+7cyf/+979cP1/EVsYLxMfHG8DEx8fbHUXOc+zYMQOY5cuX57hOnTp1DOCc6tSpY4wxZseOHaZHjx6matWqJjg42LRq1cosWbIky3tfeukl069fP1O+fHlz7733ZtoWYNq3b5/t5y5btswA5tixY1lea968uRk5cmSW5f369TM9e/bMtGzVqlUGMG+++WaO38HFiIiIMKNHj3Y+79Wrl+natWumdbp06WL69OmT4zYOHjxoAPPTTz/luM7q1asNYPbs2ZPjOlu2bDGA+e2335zLYmJiDGC2bt2aZf2RI0ea5s2b57i98z399NPm0ksvzbRs0KBBpk2bNtmuX6dOHfPGG2/ka9sXuummm8x9991X6M/OyYYNGwxgduzYke3rqamppmrVqmbMmDG5bic/+7h169bmwQcfzLTOpZdeaoYPH57jdmfMmGFCQkLM/fffb1q3bu1c7vh3umzZMmOMMXv37jX+/v5myJAhWbbx9ttvZ/oZcOz/t99+O8u6Q4YMMf7+/mbv3r3GmH//zQ0bNszUqlXL/PPPP851Q0JCzIwZM3LMfuG/vTNnzphHH33UVKlSxQQGBpp27dqZ1atXZ3rPpk2bzE033WTKlStnypYta66++mrnvlm9erW54YYbTOXKlU358uXNtddea9atW5fp/YCZP39+jpmkeBXn33n1OIltypYtS9myZfnqq69yvJu145DFjBkzSEhIcD4/efIkN910E0uXLiU2NpYuXbrQvXv3LP+jfu2112jatCnr1q3jhRdeYPXq1QAsXbqUhIQE5s2b58IWwieffELZsmV5+OGHs329QoUKwL+HEC88HJKb9PR0Tpw4QaVKlZzLYmJistyeqEuXLrnenigpKQkg03ayW8fHx8eZNzsxMTGEhITwn//8x7msTZs2hISEXPTtkXJq19q1a0lLS7uobV8oKSkpX9/p+Z/tOMy0e/fubLd56tQpZsyYQb169ahVq1a26yxYsIDDhw8THR2daXndunUZNWpUnnkc3/HF3qZq1KhRbNy4kTlz5mT7+pw5c0hLS8vSswTW4cmyZcvy2WefAfDZZ59RtmxZBg0alGXdoUOHkpaWlqXn7oknnuDs2bPZ9kbl19NPP83cuXOZNWsW69evp0GDBnTp0sXZk71//36uvfZaSpcuzY8//si6devo378/Z8+eBawRuPv168cvv/zCb7/9RsOGDbnpppucI3OLd1PhJLbx8/Nj5syZzJo1iwoVKtCuXTueffZZfv/9d+c6VapUAawCIywszPm8efPmDBo0iGbNmtGwYUNefvll6tevz4IFCzJ9xnXXXcdTTz1FgwYNaNCggfP9lStXJiwsLNdioShs376d+vXr4+/vn+t6/v7+NG7cmDJlyuR726+//jqnTp2iV69ezmWJiYkFuj2RMYYhQ4Zw9dVX5ziy/pkzZxg+fDh9+/bN9Y7jiYmJVK1aNcvyqlWr5vj5+ZVTu86ePcvhw4cvatvnmzNnDmvWrOG+++4r0GeXKVOGxo0bZ9nPU6dOdf4H4fvvv2fJkiUEBARk+9nTp0+nS5cuWQqrSy65JNOAfnnt48Lcpup84eHhPP744zz33HPOQuJ827ZtIyQkJNvBhAMCAqhfvz7btm1zrnvJJZdk2+bw8HBCQkKc6zqUKVOGkSNHMn78eGdRXxCnTp3inXfe4bXXXuPGG28kIiKC999/n6CgIKZPnw7Af//7X0JCQvj8889p1aoVjRo14r777qNx48aA9Xvjnnvu4bLLLuOyyy7j3Xff5fTp0/z0008FziMljwonsdXtt9/OgQMHWLBgAV26dGH58uVceeWVeZ4IeurUKZ5++mkiIiKoUKECZcuWZevWrVl6nHI7V6Q4mFxuDXS+GjVqsHXrVlq3bp2v7X722WeMGjWK2bNnZylWCnJ7osGDB/P77787ewgulJaWRp8+fUhPT2fq1KnO5Q8++KCzIChbtmyOn53X52fn/O2eP1Zbdu3K6TMLY/ny5URHR/P+++/TpEmTTK/l9dmtW7dm69at1KhRI9N6d999N7Gxsfz00080bNiQXr16cebMmSyfvW/fPhYtWsSAAQOyvPbDDz8wePDgPPNcuKwgPwcXeuaZZzh06BAffvhhvtYv7OfktO6AAQMIDQ3llVdeKfDn79y5k7S0NNq1a+dc5u/vT+vWrfnjjz8AiIuL45prrsnxPzQHDx7kwQcfpFGjRs4LHU6ePJnnOWLiHVQ4ie1Kly5Np06dePHFF1m5ciXR0dGMHDky1/cMGzaMuXPnMnbsWH755Rfi4uJo1qxZlhPAg4ODC5XJ0bOS3f94jx8/nu+bRTdq1Mj5i7yozJ49mwEDBvDFF19www03ZHotLCws37cnevTRR1mwYAHLli3LdkT9tLQ0evXqxa5du1iyZEmm3qYxY8YQFxfnnByf/ffff2fZzqFDh3K8PVJ2zt/umDFjcm2Xn58flStXzve2c/LTTz/RvXt3Jk2axL333pvptYv57JCQEBo2bMi1117LnDlz2Lp1a7ZXwM2YMYPKlSvn6wT8vPZxYW5TdaEKFSowYsQIRo8ezenTpzO91qhRI5KSkrK9yjI1NZW//vqLhg0bOtfduXNnthdmHDhwgOTkZOe65/Pz8+Pll1/mrbfeytfVnOfLqaA+v0gLCgrKdRvR0dGsW7eON998k5UrVxIXF0flypVdfg808QwqnMTtREREOK/wAut/ixdenvzLL78QHR3NrbfeSrNmzQgLC8vx/JLzOQ4ZXLi9CzVs2JBSpUpluSw8ISGB/fv3O7v089K3b19OnjyZqbfmfNkNd5Cbzz77jOjoaD799FO6deuW5fXIyEiWLFmSadnixYtp27at87kxhsGDBzNv3jx+/PFH6tWrl2U7jqJp+/btLF26NEuBULVqVefhzwYNGjg/OykpyXkeGcCqVatISkrK9Pl5OX+7jt60nNrVqlWrPA+D5mX58uV069aNCRMm8MADD2R5vSg/2xiT5Xw+YwwzZszg3nvvzdf28trH59+m6nxLliwp0H549NFHKVWqFG+99Vam5bfffjt+fn68/vrrWd4zbdo0Tp06xV133QVAnz59OHnyJO+++26WdSdOnIi/vz+33357tp9/55130qRJk2xv2J6bBg0aEBAQwIoVK5zL0tLSWLt2LZdddhkAl19+Ob/88kuO/6H55ZdfeOyxx7jpppto0qQJgYGBRXpIWDycy08/dwO6qs49HT582HTs2NF89NFHZsOGDeavv/4yX3zxhalWrZrp37+/c72GDRuahx56yCQkJJijR48aY4y55ZZbzBVXXGFiY2NNXFyc6d69uylXrpx5/PHHne/L7sqqtLQ0ExQUZF5++WWTmJhojh8/nmO+hx56yNSuXdvMnz/f/PXXX2bFihWmffv2plmzZiYtLS3L+tldVWeMdVWWr6+vGTZsmFm5cqXZvXu3Wbp0qbnjjjucV9vt27fPNG7c2KxatSrHPJ9++qnx8/Mz//3vf01CQoJzOr8Nv/76q/H19TUTJkwwf/zxh5kwYYLx8/PLdKXbQw89ZEJCQszy5cszbef06dPO76hHjx6mZs2aJi4uLtM6KSkpOeYzxpiuXbuayy+/3MTExJiYmBjTrFkzc/PNN2daZ/v27SY2NtYMGjTINGrUyMTGxprY2Nhct/3XX3+ZMmXKmCeffNJs2bLFTJ8+3fj7+5s5c+Y410lJSXFuq3r16uapp54ysbGxZvv27Tlud9myZaZMmTJmxIgRmdp55MiRAn32qlWrTOPGjc2+ffuMMcbs3LnTjBs3zqxdu9bs2bPHrFy50vTs2dNUqlTJ/P3335kyLF261ABmy5Yt2Wa87rrrzOTJk53P87OPP//8c+Pv72+mT59utmzZYp544gkTHBxsdu/eneN34biq7nzTp083pUuXznRVnTHGTJo0yZQqVco8++yz5o8//jA7duwwr7/+ugkMDDRDhw7NtI3HH3/cBAYGmokTJ5odO3aYP/74wzz33HOmVKlSma62y+5K1h9++MH4+fkZPz+/Al1V9/jjj5vw8HDz3Xffmc2bN5t+/fqZihUrOn9/HD582FSuXNncdtttZs2aNWbbtm3mf//7n/PqzyuuuMJ06tTJbNmyxfz222/mmmuuMUFBQZl+n6Cr6txKcf6dV+Ektjlz5owZPny4ufLKK01ISIgpU6aMady4sXn++eedf8SNMWbBggWmQYMGxs/Pzzkcwa5du0zHjh1NUFCQqVWrlpkyZYpp3759noWTMca8//77platWqZUqVI5DkfgyDdmzBhz2WWXmaCgIFOnTh0THR1tEhISsl0/p8LJGGNmz55trr32WlOuXDkTHBxsLr/8cjNmzBjnH4ldu3Zl+eN0ofbt22cZTgEw/fr1y7Tel19+aRo3bmz8/f3NpZdeaubOnZvp9ey2ATj/MDmyZDflls8YY44cOWLuvvtuU65cOVOuXDlz9913ZxlyIad27Nq1K9dtL1++3LRo0cIEBASYunXrmnfeeSfT6znlzm0f9+vXL1/vyeuzHX/0HW3Yv3+/ufHGG03VqlWNv7+/qVmzpunbt2+2wzLcddddpm3btjlmrFOnTpbhL/Lax8YY89///tfUqVPHBAQEmCuvvDLX4SaMyb5wOnv2rImIiMh23//f//2fueaaa0xwcLApXbq0admypfnwww+z3fb06dNNq1atTFBQkClTpoy5+uqrzYIFCzKtk9MQIJ07d87085mdC//t/fPPP+bRRx81oaGhOQ5HsGHDBtO5c2dTpkwZU65cOXPNNdeYnTt3GmOMWb9+vWnVqpUJDAw0DRs2NF9++WWW3ycqnNxLcf6d9zEm44BwCbZv3z5q1apFfHx8tudyiIiIiOcqzr/zOsdJREREJJ/87A4g4olSgDcAH2AoNv9DWr4cVq2Cq66C666zM4mISImnHieRQjgDjACGA7lfn1cMvvsOhg+Hb76xO4mISImnwklEREQkn1Q4iRTC+VdUFM241UWgiEbQFhGRnKlwEikEt7oUteRfGCsi4jZUOIkUglv1ODkKJ/U4iYi4nAonkUJwy8KplP45i4i4mn7TihSCWxVO6enWXD1OIiIup8JJpBDcqnBSj5OISLHRb1qRi2R74aQeJxGRYqPCScTTqWASESk2KpxECuH8UsX2wQAch+gcPU8iIuIyKpxECsEtC6dztt/8RUSkxFPhJFIIblU4+fpac/U4iYi4nAonkUJwq8JJPU4iIsVGhZNIIbjVcAQ6x0lEpNiocBIpBLcqnBxX1emedSIiLqfCSaQQVDiJiHgnFU4ihXD+QTHbC6e0NGvu52dvDhERL2Bb4bR7924GDBhAvXr1CAoK4pJLLmHkyJGkpqZmWs/HxyfLNG3aNJtSi1jOZsx9cYPC6dAha16lir05RES8gG3/Rd26dSvp6em8++67NGjQgE2bNnH//fdz6tQpJk6cmGndGTNm0LVrV+fzkJCQ4o4rkklGHw/+tqbI8Pff1rxqVXtziIh4AdsKp65du2YqhurXr8+ff/7JO++8k6VwqlChAmFhYcUdUSRH5/c42e7gQWuuwklExOXc6hynpKQkKlWqlGX54MGDCQ0N5aqrrmLatGmk53HZdUpKCsnJyc7pxIkTroosXspxGrZb/ANyFE7VqtmbQ0TEC7jN2aQ7d+5k8uTJvP7665mWv/TSS1x//fUEBQXxww8/MHToUA4fPszzzz+f47bGjx/P6NGjXR1ZxD04Cied4yQi4nI+xhTtNcyjRo3Ks2hZs2YNrVq1cj4/cOAA7du3p3379nzwwQe5vvf1119nzJgxJCUl5bhOSkoKKSkpzuf79+8nIiKC+Ph4atasmc+WiORsB9AQKAck2xnk1CkoW9Z6fOLEv49FRLzIvn37qFWrVrH8nS/yHqfBgwfTp0+fXNepW7eu8/GBAwfo2LEjkZGRvPfee3luv02bNiQnJ/P3339TLYdDE4GBgQQGBjqfJyfb+qdNSjDbr6hz9DYFBUFwsL1ZRES8QJEXTqGhoYSGhuZr3f3799OxY0datmzJjBkzKFUq7zNGYmNjKV26NBUqVLjIpCKF5zZDTR4+bM0rV/53IEwREXEZ285xOnDgAB06dKB27dpMnDiRQ46xaMB5Bd3XX39NYmIikZGRBAUFsWzZMp577jkeeOCBTD1KIsXNcXmC7SeHBwRYc8cgmCIi4lK2FU6LFy9mx44d7NixI8vxSMdpV/7+/kydOpUhQ4aQnp5O/fr1GTNmDI888ogdkUWczmXMbR+OoHx5a67D0SIixaLITw53R8V50ph4h43A5UBV4G87gxw5Ao5D46mp4O8WQ3KKiBSr4vw7b/uRBhFP5DaH6s4/ZH3B7YpERKTo2f57X8QTOQon2w/V6YRwEZFipcJJpBDcpsdJRESKlX7vixSCCicREe+k3/sihaDCSUTEO+n3vkghOIYjsP0f0PknhOuKOhERl7P9976IJzqbMbe9VHGM3xQY+O9gmCIi4jIqnEQKwVE42TaCrMOJE9bcMRCmiIi4lAonkUJwFE62D0dw8qQ1L1vW3hwiIl5ChZPIRbB9FKXTp615mTL25hAR8RIqnEQKwW3uU/TPP9ZchZOISLFQ4SRyEdymxykoyN4cIiJeQoWTiCdz9DipcBIRKRYqnEQKwe0O1ZUubW8OEREvocJJpBDc5ia/jgEwAwPtzSEi4iVUOIkUgtuMHJ6WZs01ariISLGw/fe+iCdym3vVnc0YUcrP9qE4RUS8gu2/90U8ke1X0zn4uE0SERGvoMJJpBAc/3DSc12rGPhmnGV17lzu64mISJFQ4SRSCI5+HrcpnByH7ERExKVUOIkUguMfju3DEqjHSUSkWKlwEikEHaoTEfFOKpxECsFxYMz2cZxOnrTmwcH25hAR8RIqnEQKIWP0JGwfPenYMWtesaK9OUREvIQKJ5FCcLvCqUIFW2OIiHgLFU4iheA4o8j2Q3WnT1tzHaoTESkWKpxECsFxNZ3tw0+ajCQaCFNEpFiocBIpBBVOIiLeSYWTSCGocBIR8U4qnEQugtuUKyqcRESKhQonkYugkcNFRLyLrYVT3bp18fHxyTQNHz480zp79+6le/fuBAcHExoaymOPPUZqaqpNiUUsjqvpbC9XypSx5o6r60RExKX87A4wZswY7r//fufzsmXLOh+fO3eObt26UaVKFVasWMGRI0fo168fxhgmT55sR1wR4N/CyfZbrqhwEhEpVrYXTuXKlSMsLCzb1xYvXsyWLVuIj48nPDwcgNdff53o6GjGjh1L+fLlizOqiJOjq9b2HqegIGv+zz/25hAR8RK2n+P0yiuvULlyZa644grGjh2b6TBcTEwMTZs2dRZNAF26dCElJYV169bluM2UlBSSk5Od04kTJ1zaBvE+btPjVCrjn3C67UlERLyCrT1Ojz/+OFdeeSUVK1Zk9erVjBgxgl27dvHBBx8AkJiYSLVq1TK9p2LFigQEBJCYmJjjdsePH8/o0aNdml28m+N/HLaXK47Cydh+mrqIiFco8h6nUaNGZTnh+8Jp7dq1ADz55JO0b9+eyy+/nIEDBzJt2jSmT5/OkSNHnNvzyeYya2NMtssdRowYQVJSknPasmVLUTdTvJzbFE6OfwfqcRIRKRZF3uM0ePBg+vTpk+s6devWzXZ5mzZtANixYweVK1cmLCyMVatWZVrn2LFjpKWlZemJOl9gYCCBgYHO58nJyflML5I/blc4qcdJRKRYFHnhFBoaSmhoaKHeGxsbC0D16tUBiIyMZOzYsSQkJDiXLV68mMDAQFq2bFk0gUUKwW1ODtfI4SIixcq2c5xiYmL47bff6NixIyEhIaxZs4Ynn3ySHj16ULt2bQA6d+5MREQEUVFRvPbaaxw9epSnnnqK+++/X1fUia0chZPt/TzHj1tz/XsQESkWthVOgYGBzJ49m9GjR5OSkkKdOnW4//77efrpp53r+Pr68s033/Dwww/Trl07goKC6Nu3LxMnTrQrtgjgRofqjh2z5hUr2ptDRMRL2FY4XXnllfz22295rle7dm0WLlxYDIlE8k+Fk4iId7J9HCcRT6TCSUTEO6lwEimEjPG62Q8ctzEHp05Zc8etV0RExKVUOIkUQkvgMiAJmGBnkFq1rPmePXamEBHxGiqcRArBD3gl4/GbwF67gjRsaM23b7crgYiIV1HhJFJINwMdgBTgNbtCNGpkzVU4iYgUCxVOIoXkA/TKeLzfrhCO8ZtOn7YrgYiIV1HhJHIRHFfV+doV4FzG2OW+tiUQEfEqKpxELoLjlisqnEREvIMKJ5GL4CiczgJptgRQ4SQiUpxsGzlcpCRwHKqbCwQA5YHQjKnyeY9zWlYJ8L+oABkJli2DHj2gUydratxYN/4VEXEBFU4iF6ETUA/YjXXD3+SM6a8CbCOEghdbzn+4V18NNWvCvn3w9dfWBNb4To4i6oYbIDT0IlopIiIOKpxELsLlWEXSOawRxA9nTEfOe5zT86NYxVZSxrSzAJ9bgYxCqlEjKu/dS+jRo4Tu3Eno779Tef16QhMSCN22jdCVKwl97DEq1q2L3/XXW4VUu3YQGHjxjRcR8UIqnESKgC9Wz1BloHE+33MOOEb+C63DWMUWWEXacWAHWIfkKle2ptatc/y8ikePEnr4MKGxsVT28SE0OJjQatUIDQ21npO5Z6siNp70LiLiplQ4idjEl3+LlPw6i1Vs5VVonb8s4zbAHKtUiWOVKpHfoTJ9sIqnnA4ZXvi8LqB+LBEp6VQ4iXgQP6BKxpRfZ7F6qo4Ah43h8N69HN62jSPx8RxOSuJwxYocDg3lSOXKHK5alcP16nG8VClMxvuOAtvy8TmlgPrApRnTZefNKxYgr4iIO1PhJFLC+QFVMyYAjh6F336zTiRfsybzys2bwy+/cLZcOY6Sv8OHh4G/gZNYhw53AAsvyFCVzIWUY14TjYkiIp5FhZNISffPP/Djj1ahtHAh7L/gBjFXXQU33wzdu8MVV4CPT9ZiKw8Gq3j6A9h6wXwfcDBj+umC95XBOifswqKqITrsJyLuSYWTSEmVkADDhsG8eVbx5FCmjHV1XffucNNNUL36RX+UDxCWMXW84LUTwJ9YhdT5RdV24DQQmzGdz3HY7wbgfuDKi04oIlI0VDiJlDTGwIwZMHQoHD9uLatVyyqUbr4ZOnaE0qWLLU45oFXGdL40YBfZ91Il8+9hv2lYhdP9wF1Y416JiNhFhZNISfLXXzBoECxdaj1v1QqmTLGGKXCzkcT9gUYZU8/zlhsgEYgDPsIalX098BAwFOiFVURFYvV0iYgUJ52XKVISnDsHb74JzZpZRVPp0vDaaxATA//5j9sVTbnxAaoDNwKfAgeAN4AIrEN7M4F2QFPgTayT1EVEiosKJxFPt3mzNRr4k0/C6dPQvj1s3AhPPQV+nt+pXBl4AtgErATuwzqpfAvwJBAO9AV+5N97B4qIuIoKJxFPlZwMzz8PLVrAqlVQvjy8+651BV2DBnanK3I+WIfnPsTqhXoH69ynVOAz4HqsK/ReBH7HOuQnIlLUVDiJeJq0NJg61SqOxo61nt98s9Xz9MADUKrk/7MOAR4E1mVMD2KdhL4DeAlojlVEPYt1fpSKKBEpKiX/N6xISWEMzJ8PTZvCI4/AoUPQsKE13MCCBVCzpt0JbXElVu9TAvAxcAvWGFDbgfFAS+AS4GlgNSqiROTiqHAS8QRr1sA118Btt8G2bVClCvz3v1Yv0623etTJ364SDNwNzAcOAZ8DdwBBWMMevAb8B+ueekPIOnaUiEh+qHAScWcpKfDss9CmDfz6KwQFwXPPwY4d8PDD4O9vd0K3VA7oDXyJVUTNAfoAZYG9WFfpXQm0xeqlOmNPTBHxQCqcRNxVXJx1O5Tx4yE9He66C7Zvh5dftk4El3wJBm7HOoH8IPAV1lhQ/kAMEAXUAkYAu21JKCKeRIWTiLtJS4OXXrKKpo0brcNyc+fCp59CjRp2p/NoQViDbc7G6nl6GetGw4eBCVi3eekOfIeGNhCR7KlwEnEnW7ZA27bw4otw9qx1TtOmTdZcilQY8BzW+U/zgU5YJ44vBG7CutHwRDTApohkZlvhtHz5cnx8fLKd1qxZ41wvu9enTZtmV2wR13njDbjySli7FipUgI8/hjlzoGpVu5OVaH5YV+ItxroZ8RNYwx38BQwDagDRWMMeiIj4GGNsuTo3NTWVo0ePZlr2wgsvsHTpUv766y98Mq4S8vHxYcaMGXTt2tW5XkhICEFBQfn+rH379lGrVi3i4+Op6aWXbIub+/FHuP566/GNN8L77+uwnI1OYV2V918yX313LdYVeTcDvjbkEpHsFeffedvuxxAQEEBYWJjzeVpaGgsWLGDw4MHOosmhQoUKmdYVKXEWLLDmd90Fn3yi4QVsFgwMAPoDq4ApWOdF/ZwxNcDqmYrOWFdEvIfbnOO0YMECDh8+THR0dJbXBg8eTGhoKFdddRXTpk0jPV2nbUoJs2iRNb/9dhVNbsQHaIM1ZMFuYDhQEWuE8sFYV+MNB/bZlE9Eip/bFE7Tp0+nS5cu1KpVK9Pyl156iS+//JKlS5fSp08fhg4dyrhx43LdVkpKCsnJyc7pxIkTrowucnH27IGtW8HX99/DdeJ2amCNRB6PdQivAXAMeAWoB9yDdXsXESnZirxwGjVqVI4nfTumtWvXZnrPvn37WLRoEQMGDMiyveeff57IyEiuuOIKhg4dypgxY3jttddyzTB+/HhCQkKcU0RERJG2UaRIOXqb2rSxTgoXtxYMPAxsBf4PaA+cBT7Bur1LB2CRXeFExOWK/OTww4cPc/jw4VzXqVu3LqVLl3Y+f+mll5g8eTL79+/HP4+RkH/99VeuvvpqEhMTqVatWrbrpKSkkJKS4ny+f/9+IiIidHK4uKeBA2H6dKhYEZ58EgYPth6Lx1iHNRr5bKwiCuB5YDRu1K0vUoJ59MnhoaGhhIaG5nt9YwwzZszg3nvvzbNoAoiNjaV06dJUyOV/5oGBgQQGBjqfJycn5zuPSLHr3x+WL4edO63xm159FR56yCqiqle3O53kQ0us86AmYB3Om4o1uOY2YCbWwJsiUjLY/p+hH3/8kV27dmV7mO7rr7/m/fffZ9OmTezcuZMPPviA5557jgceeCBTYSTi0dq2tc5x+uwzuPxyOHkSXnsN6tWzCqi//rI7oeRTTazznz7EuqXLF0BH4G87Q4lIkbK9cJo+fTpt27blsssuy/Kav78/U6dOJTIykssvv5y33nqLMWPG8Prrr9uQVMSF/PygTx/r/nQLF1rFVEoKTJsGjRrBe+/ZnVAK4D6sATUrYg1ncAXwLpBmYyYRKRq2DYBZnDQApngcY+CXX6wb+i5ZYi2bMgUeecTeXFIg24AeWCOSg3Ul3higN27wv1aREqQ4/87r366IO/LxgWuvta64GzrUWjZ4MLz1lr25pEAaARuAt4GqWOM/9QWuBL7FujeeiHgWFU4i7szHxzrf6ZlnrOdPPAGTJtkaSQomEHgU2Il1wnh5rGKqG9YtXFbYF01ECkGFk4i78/GB8ePhuees50OHWlfeiUcpCzzHvzcPLo1VNF2DVUTF2ZZMRApChZOIJ/DxgZdegpEjrefPPAOzZ9ubSQqlMvAq1mG7QVg3C/4WaIE1DpSIuDcVTiKewsfHKpzq1LGeHzlibx65KDWAacAfQPeMZRPtiyMi+aTCScSTLF9u3duuTBno29fuNFIEGgIfYP0yXot1LpSIuC8VTiKeZPJka96vn+5rV4JUBa7LePylnUFEJE8qnEQ8xZ498H//Zz0ePNjeLFLkemXMdZ6TiHtT4STiKd59F9LT4frrISLC7jRSxG7DOlE8DthubxQRyYUKJxFP8dtv1vzuu+3NIS5RGWiV8fh3O4OISK5UOIl4ip0Zpw03bmxvDnGZjOslibc1hYjkRoWTiCdITYX4jD+n9evbm0VcxnGHrX22phCR3KhwEvEER45YN/4FqFLF3iziMrUz5ntsTSEiuVHhJOIJQkOhVMY/14MH7c0iLuPoS9RYTiLuS4WTiCfw94ewMOvxPh3IKakaZMx3AMbOICKSIxVOIp6iVi1rHq9Th0uqeoAPcAI4bHMWEcmeCicRT6HCqcQrzb8niGssJxH3pMJJxFPUqGHNDxywN4e4VNOM+TDgtJ1BRCRbKpxEPEWlStY8KcneHOJSrwAVgJXAHUCarWlE5EIqnEQ8heOmvseP25lCXKwZsBAIAr4DooF0OwOJSCYqnEQ8hQonr9EOmAP4AZ8Cj6Or7ETchQonEU+hwsmr3ATMyng8BXgCOGRbGhFxUOEk4ikc5zgd0p9Pb9EXeDvj8dtYV9zdA8SgHigRu6hwEvEUtTNuyBEfD+fO2ZtFis2jwBdAayAV+ARoC1wJvA+csi+aiFdS4STiKWrUsEYQT0uD/fvtTiPF6E5gFbAG6I813lMc8AAQjnUO1A67wol4GRVOIp4gIQGefhrSM66v0m1XvFIrYDqwH3gd6xYtyViH8ZoBs+2LJuI1VDiJuLN9++DRR6FePZg0yTpE17YtNG2a93ulxKoEDAH+BBYBHYAzQB/gBTR8gYgrqXAScUe7d8ODD8Ill8CUKZCSYhVM330HK1ZA+fJ2JxQ3UAroDCzFGmkc4GWsgTNP2hVKpIRT4STiTnbsgP79oWFDePddSE2FDh3ghx+sgqlrV/DxsTuluBlf4FVgJhAAzMcaC2qPjZlESioVTiLuYOtWuOceaNwYZsyAs2ehUyf4+WdYtgyuu04Fk+SpH7AcqAr8DlwF/GpnIJESSIWTiJ0OHYKHHoImTeCTT6yTv7t1g99+g8WL4Zpr7E4oHiYS6+q7K7AGzLwe+NHOQCIljEsLp7Fjx9K2bVvKlClDBceoxxfYu3cv3bt3Jzg4mNDQUB577DFSU1MzrbNx40bat29PUFAQNWrUYMyYMRij4d/Eg6WkwGuvQYMGMG2aVTD17Anr1sHChfCf/9idUDxYbWAFcDOQAvTAGjRTRC6enys3npqayp133klkZCTTp0/P8vq5c+fo1q0bVapUYcWKFRw5coR+/fphjGHy5MkAJCcn06lTJzp27MiaNWvYtm0b0dHRBAcHM3ToUFfGFyl6xsC8edbQAn/9ZS1r0QLeeAPat7c3m5QowVj3u+sOLAFuBJYBLewMJVISmGIwY8YMExISkmX5t99+a0qVKmX279/vXPbZZ5+ZwMBAk5SUZIwxZurUqSYkJMScOXPGuc748eNNeHi4SU9Pz9fnx8fHG8DEx8dfXENELsbatcZce60xVvlkTPXqxsyYYcy5c3YnkxLspDHmamMMxphQY8wWe+OIuERx/p239RynmJgYmjZtSnh4uHNZly5dSElJYd26dc512rdvT2BgYKZ1Dhw4wO7du4s7skjBJSTAfffBVVdZJ3uXLg0vvADbtkGi6nKfAAEAAElEQVR0NJTSqYbiOsHAQqAlcBi4AfjL1kQins2lh+rykpiYSLVq1TItq1ixIgEBASQmJjrXqVu3bqZ1HO9JTEykXr16WbabkpJCSkqK8/mJEyeKOLlIPm3dag0n8Pff1vO774bx46FWLVtjiXcJAb4H2gNbsE4YXw7UsTGTiKcq8H91R40ahY+PT67T2rVr8709n2wusTbGZFp+4Tom48Tw7N4LMH78eEJCQpxTREREvvOIFJk//4SOHa2iqUkT60q5jz9W0SS2CMUaKLMBsBu4Doi3M5CIhypwj9PgwYPp06dPrutc2EOUk7CwMFatWpVp2bFjx0hLS3P2KoWFhTl7nxwOHjwIkKW3ymHEiBEMGTLE+Xz//v0qnqR4bdtmFU2JidCsGfz4I4SG2p1KvFx1rBPEOwA7gY7AT0ANGzOJeJoCF06hoaGEFtEfgMjISMaOHUtCQgLVq1cHYPHixQQGBtKyZUvnOs8++yypqakEBAQ41wkPD8+xQAsMDMx0TlRycnKR5BXJlx07rKIpIcG6p9wPP6hoErdRE6t4as+/xdNyIDyX94jIv1x6VurevXuJi4tj7969nDt3jri4OOLi4jh50rqLUufOnYmIiCAqKorY2Fh++OEHnnrqKe6//37KZ9yLq2/fvgQGBhIdHc2mTZuYP38+48aNY8iQITkeqhOxzc6dVtF04ABERFhFU5UqdqcSyaQWVvFUB9iOddguwdZEIp7DpYXTiy++SIsWLRg5ciQnT56kRYsWtGjRwnkOlK+vL9988w2lS5emXbt29OrVi1tuuYWJEyc6txESEsKSJUvYt28frVq14uGHH2bIkCGZDsWJ2O7ECRg92hqTad8+uPRS6/Bc1ap2JxPJVh2s4qk28CdwOfA2kJrbm0QEH2NK/hDc+/bto1atWsTHx1OzZk2740hJcuYMvPMOjBsHhw9by1q1ggULIOPws4g7+wtrhPE/Mp7XB8YCvdA9ucRzFOffef27ECmMs2dh+nRo1AiGDLGKpkaNYPZsWLVKRZN4jPpYNwSeBoRhFVJ3Aa3RPe5EsqPCSaSgfvrJulJu4ECIj4eaNeH992HzZujVSwNaisfxAwYBO4AxQFlgHdZ4T3cB5+yLJuJ29BteJL+OH4cHHrAGtNy6FSpXhtdfh+3brSLKz9bxZEUuWjDwAtbVdoOxCqrPgWftDCXiZlQ4ieTHvHlw2WVWzxLAgw9aV9ANGWLdQkWkBKkKTAY+yXj+KjDbvjgibkWFk0huDhyA226D22+3BrNs1Mi639w770BIiN3pRFyqF/B0xuP+wAYbs4i4CxVOItlJT4f33rPGYpo/3zoM9/zzsGEDXHON3elEis04oDNwGrgVOGJvHBHb6aQMkQudOwfdu8N331nPW7eGDz6wTggX8TK+wGfAVVhX3N0LfGNrIhF7qcdJ5EILFlhFU1AQvPEGrFypokm8WiXgK6wi6lt0c2DxbiqcRC701lvW/PHH4YknwNfX1jgi7qAZVq8TaHwn8W4qnETOFxdnjdPk6wuPPGJ3GhG3cl3G/AdbU4jYS4WTyPneftua33GHNbCliDg5CqcfgRJ/ry6RHKhwEnHYuxc+/dR6/Pjj9mYRcUNtgUBgP9aNgUW8kQonEYBDh6BzZ0hJgchIaNPG7kQibicI6JDx+E37YojYSoWTSFISdO0Kf/4JtWrB55+Dj4/dqUTc0nMZ8w+A7XYGEbGJCifxbv/8Az16wPr1UKUKLFkCtWvbnUrEbV0D3IR1498Xbc4iYgcVTuK90tLgzjutW6iULw+LFkHjxnanEnF7YzPmnwNxNuYQsYMKJ/FOZ8/CvffCN99YA11+8w20aGF3KhGPcAVwV8bjZ9AVduJdVDiJ90lNhd69rXOZ/Pxg7ly4+mq7U4l4lDGAP7AYmGxzFpHipMJJvMs//8Att8C8eRAQYM1vvNHuVCIepwEwMePxU8BqG7OIFCcVTuI9Tp2Cbt3+vQ/dwoXWzXxFpFAeBW4H0oBewDF744gUCxVO4j2GDYNly6BcOetE8E6d7E4k4tF8gOlAfWAP1hAFIiWdCifxDjExMG2a9XjePLjmGnvziJQQIUC/jMdb7QwiUkxUOEnJl5YGDzwAxkB0NNxwg92JREqU+hnzXbamECkeKpyk5Hv9ddi0CUJDYeLEvNcXkQKplzFX4STeQIWTlGw7d8Lo0dbjSZOgcmV784iUQI7CaS/WieIiJZkKJynZnn4azpyB66+He+6xO41IiRQGlAHSgZU2ZxFxNRVOUnLFxVkngvv4wFtv6ca9Ii5SCnD8t2Q4GklcSjYVTlJyjRplzfv0gSZNbI0iUtKNwup1+g2YZ28UEZdS4SQl07p18H//B6VKwYu6h7uIq1XHGkEcrF4nneskJZUKJymZHL1NffvCpZfaGkXEWzwFVAN2AO/anEXEVVQ4Scnz3XfW7VR8fdXbJFKMymEdsgMYD5yzL4qIy7i0cBo7dixt27alTJkyVKhQIcvrGzZs4K677qJWrVoEBQVx2WWX8dZbb2VaZ/fu3fj4+GSZvv/+e1dGF091+DD07289fvRRaNjQ3jwiXqY/UBE4APxicxYRV/Bz5cZTU1O58847iYyMZPr06VleX7duHVWqVOHjjz+mVq1arFy5kgceeABfX18GDx6cad2lS5fS5LwTfCtVquTK6OKJjIEHH4TERIiIgHHj7E4k4nUCgFuBD4HZQAdb04gUPZcWTqMzBh6cOXNmtq/3d/QMZKhfvz4xMTHMmzcvS+FUuXJlwsLCXJJTSoiPP4a5c8HPz3ocFGR3IhGv1BurcJoDTMbFf2hEipnbneOUlJSUbW9Sjx49qFq1Ku3atWPOnDk2JBO3tmcPOIrt0aOhRQt784h4seuAUOAw8KPNWUSKmlsVTjExMXzxxRcMGjTIuaxs2bJMmjSJOXPm8O2333L99dfTu3dvPv744xy3k5KSQnJysnM6ceJEccQXO40cCcnJEBlpjRYuIrbxA+7IePy5nUFEXKDAhdOoUaOyPVn7/Gnt2rUFDrJ582Z69uzJiy++SKdOnZzLQ0NDefLJJ2ndujWtWrVizJgxPPzww7z66qs5bmv8+PGEhIQ4p4iIiALnEQ/yzz/WITqA116zDtWJiK3uypjPBc7YGUSkiBX4L8zgwYPp06dPruvUrVu3QNvcsmUL1113Hffffz/PP/98nuu3adOGDz74IMfXR4wYwZAhQ5zP9+/fr+KpJFu4EE6ehLp1oW1bu9OICHA1UAuIBxbybw+UiKcrcOEUGhpKaGhokQXYvHkz1113Hf369WPs2LH5ek9sbCzVq1fP8fXAwEACAwOdz5OTky86p7ipkydh0iTrcZ8+uh+diJsohdXr9CowBetKO19bE4kUDZce09i7dy9Hjx5l7969nDt3jri4OAAaNGhA2bJl2bx5Mx07dqRz584MGTKExMREAHx9falSpQoAs2bNwt/fnxYtWlCqVCm+/vpr3n77bV555RVXRhdPcOQIdOsGq1ZBmTIwYIDdiUTkPAOAt4GfgGeAifbGESkSLi2cXnzxRWbNmuV83iLjSqdly5bRoUMHvvzySw4dOsQnn3zCJ5984lyvTp067N692/n85ZdfZs+ePfj6+tKoUSM+/PBD7rnnHsSLxcdDly7wxx9QqRJ8+y00aGB3KhE5TyNgJtAHeB1oDNxvZyCRIuBjjDF2h3C1ffv2UatWLeLj46lZs6bdceRibd0KnTtbxVPNmrBokTXgpYi4pTHASKz/qS/CGq5ApCgV5995txqOQCRPa9bA1VdbRVPjxvDrryqaRNzcC0Bf4CxwO7DN3jgiF0WFk3iOQ4fg+uutc5tatYJffoHate1OJSJ58AGmA5HAceAWIN3GPCIXQ4WTeI7YWDhxwiqWfvwRMi4gEBH3Vxr4CigD/JExiXgiFU7iOU6ftuY1akC5cvZmEZECqwr8J+Pxr3YGEbkIKpzEczgKpzJl7M0hIoXWLmOuwkk8lQon8RwqnEQ83tUZ8xW2phApPBVO4jmOHLHmKpxEPFYbrJPF/wISbc4iUhgqnMQz/P03TMwYd/jKK+3NIiKFFgI4Luv4284gIoWkwkncnzFw//1w+DA0bw5PPGF3IhG5COcy5v62phApHBVO4v5mzICvv4aAAPjoI2suIh7LUTjppr/iiVQ4iXvbtQsef9x6/PLL0KyZvXlE5KI5CieX3ixVxEVUOIn7MgYGDoSTJ+Gaa2DIELsTiUgROJsxV4+TeCIVTuK+li+3RggPDISZM8FXv2ZFSgLHwfZUW1OIFI4KJ3FfL79szQcOhPr17c0iIkWmQsb8mJ0hRApJhZO4p5Urrd4mf394+mm704hIEaqYMVfhJJ5IhZO4p5desub9+lk39RWREkOFk3gyFU7ifmJi4PvvrXOahg+3O42IFDFH4bTV1hQihaPCSdzLmTMwYID1+N574ZJL7M0jIkXOcaPfMcB/7QwiUggqnMS9jBwJf/wBYWHw2mt2pxERF3gCeDTj8WDgZcDYlkakYFQ4ifv47bd/70f37rtQubK9eUTEJUoBbwGjMp6/AAwF0u0KJFIAKpzEPfzzD0RHQ3o6REVBjx52JxIRF/IBRgJvZjx/AxjAv4NjirgrFU7iHp5+Gv78E6pXh7fesjuNiBSTx4FZWKOIzwQesjWNSN5UOIn93nsPpkyxHr//PlSsmPv6IlKi3AvMyXj8IbDXxiwieVHhJPb68Ud45BHr8Zgx0K2bvXlExBa3AB2xznN6z94oIrlS4ST22bYN7rgDzp6Fvn3h+eftTiQiNsr4LxTvAyl2BhHJhQonscexY9C9uzVv0wamTwcfH7tTiYiNegLhwEFgns1ZRHKiwkmKX2Ii3Hyz1eNUuzZ89RWULm13KhGxmR8wKOPxFDuDiORChZMUrx9/hCuusG7iW64cfP01VKtmdyoRcRMPAAHASuAXm7OIZEeFkxSPc+esG/d26gR//w1Nm8Lq1XD55XYnExE3Egbcl/F4rJ1BRHKgwklc79gxuPFGePFFa4DL/v1h1Sq49FK7k4mIG3oGa1ynRcBam7OIXEiFk7jWwYPQsSMsWQJBQTBzpnUieJkydicTETdVD+ib8VjnOom7cWnhNHbsWNq2bUuZMmWoUKFCtuv4+PhkmaZNm5ZpnY0bN9K+fXuCgoKoUaMGY8aMwRjdEtLtHTgAHTrAhg3WeUwxMdCvn92pRMQD3J8xn4+GJhD34ufKjaempnLnnXcSGRnJ9OnTc1xvxowZdO3a1fk8JCTE+Tg5OZlOnTrRsWNH1qxZw7Zt24iOjiY4OJihQ4e6Mr5cjD174PrrYedOqFkTfvgBGjWyO5WIeIh2QA1gP/A91lAFIu7ApYXT6NGjAZg5c2au61WoUIGwsLBsX/vkk084c+YMM2fOJDAwkKZNm7Jt2zYmTZrEkCFD8NHYP+5nxw647jqIj4d69ayiqV49u1OJiAcpBfTCuvnvbFQ4iftwi3OcBg8eTGhoKFdddRXTpk0jPT3d+VpMTAzt27cnMDDQuaxLly4cOHCA3bt3Z7u9lJQUkpOTndOJEydc3QRx2L4drr3WKpoaNYKff1bRJCKF0idjvgA4bWcQkfPYXji99NJLfPnllyxdupQ+ffowdOhQxo0b53w9MTGRaheM8+N4npiYmO02x48fT0hIiHOKiIhwXQMks2efhYQEaNbMKppq1rQ7kYh4qKuAmsApYI3NWUQcClw4jRo1KtsTus+f1q7N/wWkzz//PJGRkVxxxRUMHTqUMWPG8Nprr2Va58LDcY4Tw3M6TDdixAiSkpKc05YtWwrYSimUEydg4ULr8cyZGthSRC6KD9a4TgAn7Qwicp4Cn+M0ePBg+vTpk+s6devWLWwe2rRpQ3JyMn///TfVqlUjLCwsS8/SwYMHAbL0RDkEBgZmOrSXnJxc6DxSAAsWwJkz1iG6Fi3sTiMiJUBQxvyMrSlE/lXgwik0NJTQ0FBXZAEgNjaW0qVLO4cviIyM5NlnnyU1NZWAgAAAFi9eTHh4+EUVaOICn39uzfv00Q17RaRIOO5iqcJJ3IVLr6rbu3cvR48eZe/evZw7d464uDgAGjRoQNmyZfn6669JTEwkMjKSoKAgli1bxnPPPccDDzzg7DHq27cvo0ePJjo6mmeffZbt27czbtw4XnzxRV1R506OHYNFi6zHvXvbm0VESgxH4fSPrSlE/uXSwunFF19k1qxZzuctMg7fLFu2jA4dOuDv78/UqVMZMmQI6enp1K9fnzFjxvDII4843xMSEsKSJUt45JFHaNWqFRUrVmTIkCEMGTLEldGlINLT4cEHIS3NuvecTsYXkSJSNmN+yNYUIv/yMV4wBPe+ffuoVasW8fHx1NRVXkXvhRfg5ZfB39+6tUr79nYnEpESYhIwFOgGLLQ5i7iv4vw7b/twBOLh/vc/q2gCeO89FU0iUqQcv1F+Ac7ZGUQkgwonKbyff4aBA63Hzz4L0dG2xhGRkucKoDyQDGywN4oIoMJJCmvHDrj1Vuu8pjvugJdesjuRiJRAvsDVGY9/sjOISAYVTlJwxsADD8DRo9C6tXW4rpR+lETENRyH6362NYWIRX/tpOC+/hqWLYPAQJg9G4KC8n6PiEghOXqcYoASfzWTuD0VTlIwaWkwbJj1+MknQYOQioiLXQn4A38Du2zOIqLCSQpm2jTYtg2qVIERI+xOIyJeoDTQMuPxSjuDiKDCSQri2DEYNcp6/NJLUL68rXFExHu0zZjH2JpCRIWT5Jcx8Oij1gnhTZrAgAF2JxIRL9I8Y77Z1hQiKpwkv/73P/jkE/D1tQa69HPp3XpERDLZlzGvZWsKERVOkh/btoHj/oGjR0PbtrmvLyJSxLZkzHUnTLGbCifJXUoK9OkDp05Bx44wfLjdiUTECzkO0TWxNYWICifJyzPPQGwshIbCxx9bh+pERIrROWBrxmP1OIndVDhJzpYsgbfesh7PnAnh4bbGERHv9DdwBvAB6tobRUSFk+Tg+HHo3996/Mgj0K2brXFExHuFYv2xMsAhm7OIqHCS7D3xBOzbBw0awCuv2J1GRLxYAFA74/FOO4OIoMJJsvPFFzBrlnXj3lmzIDjY7kQi4uUuyZhvtzWFiAonudDmzf8eohs+XEMPiIhbaJwx35rrWiKup8JJ/pWUBLfdZg09cP311phNIiJuwDEMwZZc1xJxPRVOYklPh379rMEua9eGzz7T6OAi4jYcwxDolitiNxVOYpkwAf7v/yAwEObOhSpV7E4kIuLk6HHaDZyyMYeICidvZwxMnAjPP289/+9/oVUrezOJiFygSsZk0HlOYi8di/FmSUlw330wf771/LHHYMAAezOJiOSgNtY4Tol2BxGvpsLJW23YAHfcATt2QECANUL4oEF2pxIRyVGFjPlxGzOIqHDyRjNnwkMPwZkzUKcOzJmjw3Mi4vYqZsyP2xlCvJ7OcfImZ87AAw9Yh+fOnIEbb4R161Q0iYhHqJAxP2ZnCPF6Kpy8yX33wfvvg48PjBkDCxdC5cp2pxIRyZcKGXMVTmInHarzFklJ1jADAF9/rZv2iojHcQySctDWFOLt1OPkLb77DtLS4LLLVDSJiEeqnjFPsDWFeDsVTt7iq6+sec+etsYQESksFU7iDlQ4eYPUVKvHCeCWW2yNIiJSWOEZ8wO2phBv59LCaezYsbRt25YyZcpQoUKFLK/PnDkTHx+fbKeDB62j2Lt378729e+//96V0UuW5cshORmqV4errrI7jYhIoTh6nI4D/9iYQ7ybS08OT01N5c477yQyMpLp06dneb1379507do107Lo6GjOnDlD1apVMy1funQpTZo0cT6vVKmSa0KXRI7epm7doJQ6GUXEM1UAygIngT3ApbamEW/l0sJp9OjRgNWzlJ2goCCCgoKczw8dOsSPP/6YbZFVuXJlwsLCXJKzxFu0yJp36WJvDhGRi+ADXAJsAHaiwkns4VbdD//73/8oU6YMd9xxR5bXevToQdWqVWnXrh1z5szJdTspKSkkJyc7pxMnTrgqsvuLj4c//rB6mq6/3u40IiIXpUHGfIetKcSbuVXh9OGHH9K3b99MvVBly5Zl0qRJzJkzh2+//Zbrr7+e3r178/HHH+e4nfHjxxMSEuKcIiIiiiO+e3L0Nv3nP1CxYu7rioi4uUsy5jttTSHerMCF06hRo3I8odsxrV27tsBBYmJi2LJlCwMGDMi0PDQ0lCeffJLWrVvTqlUrxowZw8MPP8yrr76a47ZGjBhBUlKSc9qyZUuB85QYixdbcx2mE5ESwNHjtN3WFOLNCnyO0+DBg+nTp0+u69StW7fAQT744AOuuOIKWrZsmee6bdq04YMPPsjx9cDAQAIDA53Pk5OTC5ynxFi1ypp36GBrDBGRotA8Y/4bcA7wtTGLeKcCF06hoaGEhoYWaYiTJ0/yxRdfMH78+HytHxsbS/Xq1fNe0dsdPgx791qPW7SwN4uISBFoCYRgDUmwHtAAK1LcXHpV3d69ezl69Ch79+7l3LlzxMXFAdCgQQPKli3rXG/27NmcPXuWu+++O8s2Zs2ahb+/Py1atKBUqVJ8/fXXvP3227zyyiuujF4yxMZa84YNoXx5e7OIiBQBX6Aj8BWwFBVOUvxcWji9+OKLzJo1y/m8RUavx7Jly+hw3qGj6dOnc9ttt1Exh5OXX375Zfbs2YOvry+NGjXiww8/5J577nFl9JJh3TprfuWV9uYQESlCN/Bv4TTC3ijihXyMMcbuEK62b98+atWqRXx8PDVr1rQ7TvG5806YMwdeeQWeftruNCIiRWIrcBkQiHXIrrStacQdFOffebcajkCKkDGwYoX1uHVre7OIiBShxhnzFMCLR+kTm6hwKqm2bYPERAgMhDZt7E4jIlJkzp732KXnm4hkQ4VTSbV8uTVv0wZKqyNbREoOFU5iJxVOJZWjcNL4TSJSwpxfOPnblkK8lQqnkig9XYWTiJRYaec9Vo+TFDcVTiXR8uXW+U3ly+v8JhEpcc5kzH3RyOFS/FQ4lUQzZljzPn10fpOIlDgnM+ZlAR87g4hXUuFU0iQlWWM3AfTvb28WEREXOL9wEiluKpxKmtmz4cwZuOwyjd8kIiWSo3AqZ2sK8VYqnEqa//3PmvfvDz7qxBaRksdROAXbmkK8lQqnkiQ9HdautR7fequ9WUREXCQwY37a1hTirVQ4lST79kFKCvj7Q926dqcREXGJuhnz3UCJv9mquB0VTiXJjh3WvH598NVFuiJSMtXCupruH+CQzVnE+6hwKkkchVODBvbmEBFxoQAgPOPxbhtziHdS4VRSnD0L339vPVbhJCIlXN2M+W4bM4h3UuFUEhw6BJ06wfz51vMbb7Q3j4iIizmuqDuT61oiRU+Fk6dbtw5atrRus1K2LMydC1262J1KRMSljmXMK9qaQryRCidPNmsWtGsH8fHQsCGsWgW33WZ3KhERlzueMa9gYwbxTiqcPFFaGjz6KERHW8MP3HwzrFkDERF2JxMRKRbqcRK7+NkdQAqobl3Ys+ff5yNHwosvQinVwCLiHZYAhzMeq3CS4qbCydOkp1vzihVh5kzo0cPWOCIidrkUqGZ3CPE6Kpw8zdq1VvFUsSIEBua9vohICXMtkACEoj9iUvz0M+dpqla1O4GIiK0CgTC7Q4jX0okxIiIiIvmkwklEREQkn1Q4iYiIiOSTCicRERGRfFLhJCIiIpJPKpxERERE8kmFk4iIiEg+qXASERERySeXFU67d+9mwIAB1KtXj6CgIC655BJGjhxJampqpvX27t1L9+7dCQ4OJjQ0lMceeyzLOhs3bqR9+/YEBQVRo0YNxowZgzHGVdFFREREsuWykcO3bt1Keno67777Lg0aNGDTpk3cf//9nDp1iokTJwJw7tw5unXrRpUqVVixYgVHjhyhX79+GGOYPHkyAMnJyXTq1ImOHTuyZs0atm3bRnR0NMHBwQwdOtRV8UVERESy8DHF2HXz2muv8c477/DXX38B8N1333HzzTcTHx9PeHg4AJ9//jnR0dEcPHiQ8uXL88477zBixAj+/vtvAjPuzTZhwgQmT57Mvn378PHxyfNz9+3bR61atYiPj6dmzZqua6CIiIgUu+L8O1+s96pLSkqiUqVKzucxMTE0bdrUWTQBdOnShZSUFNatW0fHjh2JiYmhffv2zqLJsc6IESPYvXs39erVy/I5KSkppKSkZPpcgISEBFc0S0RERGzk+PuenJyMMSZfnSqFVWyF086dO5k8eTKvv/66c1liYiLVqlXLtF7FihUJCAggMTHRuU7dunUzreN4T2JiYraF0/jx4xk9enSW5a1bt77YZoiIiIibatKkCUlJSZQvX95ln1HgwmnUqFHZFiXnW7NmDa1atXI+P3DgAF27duXOO+9k4MCBmdbNriq8sFq8cB3H0cWcKsoRI0YwZMgQ5/OjR49Sr149Nm3aREhISK7ZvdGJEyeIiIhgy5YtlCtXzu44bknfUe70/eRO30/e9B3lTt9P7pKSkmjatCm7d+92+fdT4MJp8ODB9OnTJ9d1zu8hOnDgAB07diQyMpL33nsv03phYWGsWrUq07Jjx46Rlpbm7FUKCwtz9j45HDx4ECBLb5VDYGBgpkN7DrVq1XJpFeqpkpOTAahRo4a+nxzoO8qdvp/c6fvJm76j3On7yZ3jO6lYsaJLD9NBIQqn0NBQQkND87Xu/v376dixIy1btmTGjBmUKpV59IPIyEjGjh1LQkIC1atXB2Dx4sUEBgbSsmVL5zrPPvssqampBAQEONcJDw/PcghPRERExJVcNo7TgQMH6NChA7Vq1WLixIkcOnSIxMTETL1HnTt3JiIigqioKGJjY/nhhx946qmnuP/++53VY9++fQkMDCQ6OppNmzYxf/58xo0bx5AhQ1xeVYqIiIicz2Unhy9evJgdO3awY8eOLJcGOs5R8vX15ZtvvuHhhx+mXbt2BAUF0bdvX+c4TwAhISEsWbKERx55hFatWlGxYkWGDBmS6RymvAQGBjJy5MhsD9+Jvp/80HeUO30/udP3kzd9R7nT95O74vx+inUcJxERERFPpnvViYiIiOSTCicRERGRfFLhJCIiIpJPKpxERERE8qlEF05169bFx8cny/TII4/YHc0tnD17lueff5569eoRFBRE/fr1GTNmDOnp6XZHcxsnTpzgiSeeoE6dOgQFBdG2bVvWrFljdyzb/Pzzz3Tv3p3w8HB8fHz46quvMr1ujGHUqFGEh4cTFBREhw4d2Lx5sz1hbZDX9zNv3jy6dOlCaGgoPj4+xMXF2ZLTLrl9P2lpaTzzzDM0a9aM4OBgwsPDuffeezlw4IB9gW2Q18/QqFGjuPTSSwkODqZixYrccMMNWQaSLsny+n7ON2jQIHx8fHjzzTeLNEOJLpzWrFlDQkKCc1qyZAkAd955p83J3MMrr7zCtGnTmDJlCn/88Qevvvoqr732GpMnT7Y7mtsYOHAgS5Ys4aOPPmLjxo107tyZG264gf3799sdzRanTp2iefPmTJkyJdvXX331VSZNmsSUKVNYs2YNYWFhdOrUiRMnThRzUnvk9f2cOnWKdu3aMWHChGJO5h5y+35Onz7N+vXreeGFF1i/fj3z5s1j27Zt9OjRw4ak9snrZ6hRo0ZMmTKFjRs3smLFCurWrUvnzp05dOhQMSe1R17fj8NXX33FqlWrCA8PL/oQxos8/vjj5pJLLjHp6el2R3EL3bp1M/3798+07LbbbjP33HOPTYncy+nTp42vr69ZuHBhpuXNmzc3zz33nE2p3Adg5s+f73yenp5uwsLCzIQJE5zLzpw5Y0JCQsy0adNsSGivC7+f8+3atcsAJjY2tlgzuZPcvh+H1atXG8Ds2bOneEK5mfx8R0lJSQYwS5cuLZ5QbiSn72ffvn2mRo0aZtOmTaZOnTrmjTfeKNLPLdE9TudLTU3l448/pn///hpxPMPVV1/NDz/8wLZt2wDYsGEDK1as4KabbrI5mXs4e/Ys586do3Tp0pmWBwUFsWLFCptSua9du3aRmJhI586dncsCAwNp3749K1eutDGZeKqkpCR8fHyoUKGC3VHcUmpqKu+99x4hISE0b97c7jhuIT09naioKIYNG0aTJk1c8hkuGznc3Xz11VccP36c6Ohou6O4jWeeeYakpCQuvfRSfH19OXfuHGPHjuWuu+6yO5pbKFeuHJGRkbz00ktcdtllVKtWjc8++4xVq1bRsGFDu+O5HcftlC68+Xa1atXYs2ePHZHEg505c4bhw4fTt29f3dT2AgsXLqRPnz6cPn2a6tWrs2TJknzfQ7ake+WVV/Dz8+Oxxx5z2Wd4TY/T9OnTufHGG11zvNNDzZ49m48//phPP/2U9evXM2vWLCZOnMisWbPsjuY2PvroI4wx1KhRg8DAQN5++2369u2Lr6+v3dHc1oU9usYY9fJKgaSlpdGnTx/S09OZOnWq3XHcTseOHYmLi2PlypV07dqVXr16cfDgQbtj2W7dunW89dZbzJw506W/c7yicNqzZw9Lly5l4MCBdkdxK8OGDWP48OH06dOHZs2aERUVxZNPPsn48ePtjuY2LrnkEn766SdOnjxJfHw8q1evJi0tjXr16tkdze2EhYUBZLqRN8DBgwez9EKJ5CQtLY1evXqxa9culixZot6mbAQHB9OgQQPatGnD9OnT8fPzY/r06XbHst0vv/zCwYMHqV27Nn5+fvj5+bFnzx6GDh1K3bp1i+xzvKJwmjFjBlWrVqVbt252R3Erp0+fplSpzD8Cvr6+Go4gG8HBwVSvXp1jx46xaNEievbsaXckt1OvXj3CwsKcV6+CdQ7GTz/9RNu2bW1MJp7CUTRt376dpUuXUrlyZbsjeQRjDCkpKXbHsF1UVBS///47cXFxzik8PJxhw4axaNGiIvucEn+OU3p6OjNmzKBfv374+ZX45hZI9+7dGTt2LLVr16ZJkybExsYyadIk+vfvb3c0t7Fo0SKMMTRu3JgdO3YwbNgwGjduzH333Wd3NFucPHmSHTt2OJ/v2rWLuLg4KlWqRO3atXniiScYN24cDRs2pGHDhowbN44yZcrQt29fG1MXn7y+n6NHj7J3717n2ER//vknYPXWOXrsSrLcvp/w8HDuuOMO1q9fz8KFCzl37pyz97JSpUoEBATYFbtY5fYdVa5cmbFjx9KjRw+qV6/OkSNHmDp1Kvv27fOaYXby+jd2YbHt7+9PWFgYjRs3LroQRXqNnhtatGiRAcyff/5pdxS3k5ycbB5//HFTu3ZtU7p0aVO/fn3z3HPPmZSUFLujuY3Zs2eb+vXrm4CAABMWFmYeeeQRc/z4cbtj2WbZsmUGyDL169fPGGMNSTBy5EgTFhZmAgMDzbXXXms2btxob+hilNf3M2PGjGxfHzlypK25i0tu349jiIbspmXLltkdvdjk9h39888/5tZbbzXh4eEmICDAVK9e3fTo0cOsXr3a7tjFJq9/YxdyxXAEPsYYU3RlmIiIiEjJ5RXnOImIiIgUBRVOIiIiIvmkwklEREQkn1Q4iYiIiOSTCicRERGRfFLhJCIiIpJPKpxERERE8kmFk4iIiEg+qXASERERyScVTiIiIiL5pMJJREREJJ9UOImIiIjkkwonERERkXxS4SQiIiKSTyqcRERERPJJhZOIiIhIPqlwEhEREcknFU4iIiIi+eRxhdM777zD5ZdfTvny5SlfvjyRkZF89913ztfnzZtHly5dCA0NxcfHh7i4uHxtd+7cuURERBAYGEhERATz5893UQsKzxVtnzlzJj4+PlmmM2fOuLAlBZdb29PS0njmmWdo1qwZwcHBhIeHc++993LgwIE8t+vp+72wbfeU/Q55/9yPGjWKSy+9lODgYCpWrMgNN9zAqlWr8tyup+97KFzbPWXf59X28w0aNAgfHx/efPPNPLfrCfsdXNP+krLvo6Ojs7ShTZs2eW63qPa9xxVONWvWZMKECaxdu5a1a9dy3XXX0bNnTzZv3gzAqVOnaNeuHRMmTMj3NmNiYujduzdRUVFs2LCBqKgoevXqla9fvsXJFW0HKF++PAkJCZmm0qVLu6IJhZZb20+fPs369et54YUXWL9+PfPmzWPbtm306NEj122WhP1e2LaDZ+x3yPvnvlGjRkyZMoWNGzeyYsUK6tatS+fOnTl06FCO2ywJ+x4K13bwjH2fV9sdvvrqK1atWkV4eHie2/SU/Q6uaT+UnH3ftWvXTG349ttvc91mke57UwJUrFjRfPDBB5mW7dq1ywAmNjY2z/f36tXLdO3aNdOyLl26mD59+hRlTJe42LbPmDHDhISEuCaci2XXdofVq1cbwOzZsyfH95e0/e6Qn7Z78n43Jvf2JyUlGcAsXbo0x/eX1H2fn7Z78r6/sO379u0zNWrUMJs2bTJ16tQxb7zxRq7v9+T9bszFt7+k7Pt+/fqZnj17Fuj9RbnvPa7H6Xznzp3j888/59SpU0RGRhZ6OzExMXTu3DnTsi5durBy5cqLjegyRdV2gJMnT1KnTh1q1qzJzTffTGxsbBGldI38tD0pKQkfHx8qVKiQ43ZK6n7PT9vB8/Y75N3+1NRU3nvvPUJCQmjevHmO2ymJ+z6/bQfP2/fZtT09PZ2oqCiGDRtGkyZN8rUdT9zvUHTth5Kx7wGWL19O1apVadSoEffffz8HDx7MdTtFuu8LXGq5gd9//90EBwcbX19fExISYr755pss6xSk18Xf39988sknmZZ98sknJiAgoKgiF5mibntMTIz56KOPTFxcnPn555/N7bffboKCgsy2bdtckP7i5Kftxhjzzz//mJYtW5q777471+2VtP1uTP7b7kn73Zi82//111+b4OBg4+PjY8LDw83q1atz3V5J2vcFbbsn7fvc2j5u3DjTqVMnk56ebowx+epx8aT9bkzRt7+k7PvPP//cLFy40GzcuNEsWLDANG/e3DRp0sScOXMmx+0V5b73yMIpJSXFbN++3axZs8YMHz7chIaGms2bN2dap6CF06effppp2ccff2wCAwOLMnaRKOq2X+jcuXOmefPm5tFHHy2ixEUnP21PTU01PXv2NC1atDBJSUm5bq+k7feCtP1C7rzfjcm7/SdPnjTbt283MTExpn///qZu3brm77//znF7JWnfF7TtF3LnfZ9T29euXWuqVatm9u/f71w3v4WTp+x3Y4q+/RfyxH2fnQMHDhh/f38zd+7cHLdXlPveIwunC11//fXmgQceyLSsIMVDrVq1zKRJkzItmzRpkqldu3ZRxnSJi217dgYOHJjlWLA7urDtqamp5pZbbjGXX365OXz4cJ7vL0n7vaBtz46n7Hdjsv+5P1+DBg3MuHHjcny9JO37C+XV9ux4yr53tP2NN94wPj4+xtfX1zkBplSpUqZOnTo5vt+T97sxF9/+7Hjavs9JgwYNzIQJE3J8vSj3vUef4+RgjCElJaXQ74+MjGTJkiWZli1evJi2bdtebDSXu9i2Z7e9uLg4qlevXmTbdJXz256WlkavXr3Yvn07S5cupXLlynm+v6Ts98K0Pbvtecp+h7x/7vN6vaTs+8K8nt36nrLvHW2Liori999/Jy4uzjmFh4czbNgwFi1alOP7PXm/w8W3P7vtedq+z86RI0eIj4/PtR1Fuu8LXGrZbMSIEebnn382u3btMr///rt59tlnTalSpczixYuNMcYcOXLExMbGmm+++cYA5vPPPzexsbEmISHBuY2oqCgzfPhw5/Nff/3V+Pr6mgkTJpg//vjDTJgwwfj5+Znffvut2NuXG1e0fdSoUeb77783O3fuNLGxsea+++4zfn5+ZtWqVcXevtzk1va0tDTTo0cPU7NmTRMXF2cSEhKcU0pKinMbJXG/F7btnrLfjcm9/SdPnjQjRowwMTExZvfu3WbdunVmwIABJjAw0GzatMm5jZK47wvbdk/Z93n9vrtQdoeqPHW/G+Oa9peEfX/ixAkzdOhQs3LlSrNr1y6zbNkyExkZaWrUqGGSk5Od23Dlvve4wql///6mTp06JiAgwFSpUsVcf/31mX6QZsyYYYAs08iRI53rtG/f3vTr1y/Tdr/88kvTuHFj4+/vby699NJcj5XaxRVtf+KJJ0zt2rWd2+zcubNZuXJlMbYqf3Jru+PQZHbTsmXLnNsoifu9sG33lP1uTO7t/+eff8ytt95qwsPDTUBAgKlevbrp0aNHlhOkS+K+L2zbPWXf5/X77kLZFQ6eut+NcU37S8K+P336tOncubOpUqWK8ff3N7Vr1zb9+vUze/fuzbQNV+57H2OMKXg/lYiIiIj3KRHnOImIiIgUBxVOIiIiIvmkwklEREQkn1Q4iYiIiOSTCicRERGRfFLhJCIiIpJPKpxERERE8sljCqepU6dSr149SpcuTcuWLfnll1/y/d6UlBRGjRpVpLcm8RTe3Hbw7var7d7ZdvDu9qvt3tl2KL72e8QAmLNnzyYqKoqpU6fSrl073n33XT744AO2bNlC7dq183x/cnIyISEhJCUlUb58+WJI7D68ue3g3e1X272z7eDd7VfbvbPtUHzt94gep0mTJjFgwAAGDhzIZZddxptvvkmtWrV455137I4mIiIiXsTtC6fU1FTWrVtH586dMy3v3LkzK1eutCmViIiIeCM/uwPk5fDhw5w7d45q1aplWl6tWjUSExOzfU9KSkqmY5xHjx4FID4+npCQENeFdUMnTpwAYP/+/SQnJ9ucpvh5c/vVdu9sO3h3+9V272x7eno6O3fuBMDVZyC5feHk4OPjk+m5MSbLMofx48czevToLMubNm3qkmyeICIiwu4ItvLm9qvt3sub26+2e6/U1FSXbt/tC6fQ0FB8fX2z9C4dPHgwSy+Uw4gRIxgyZIjzeXx8PE2bNmX16tVUr17dpXlFRESkeCUkJNC6dWs2b95MaGioSz/L7QungIAAWrZsyZIlS7j11ludy5csWULPnj2zfU9gYCCBgYHO547Dc9WrV6dmzZquDSwiIiK2KF++fI5Ho4qK2xdOAEOGDCEqKopWrVoRGRnJe++9x969e3nwwQftjiYiIiJexCMKp969e3PkyBHGjBlDQkICTZs25dtvv6VOnTp2RxMREREv4hGFE8DDDz/Mww8/bHcMERER8WJuP46TlGwHDx5k0KBB1K5dm8DAQMLCwujSpQsxMTHOdXx8fPjqq6+K5PN2796Nj48PcXFxua63fPlyfHx8OH78eJbXrrjiCkaNGuVcJ7dp5syZAMydO5cOHToQEhJC2bJlufzyyxkzZoxzqIz8mDdvHp06daJKlSqUL1+eyMhIFi1alGW9uXPnEhERQWBgIBEREcyfPz/T6+PHj+eqq66iXLlyVK1alVtuuYU///zT+XpaWhrPPPMMzZo1Izg4mPDwcO69914OHDiQZ8Zjx44RFRVFSEgIISEhREVFZfkOH3/8cVq2bElgYCBXXHFFvtv/008/0bJlS0qXLk39+vWZNm1aptfff/99rrnmGipWrEjFihW54YYbWL16dZ7b3bhxI+3btycoKIgaNWowZsyYLJcz5/XZFzp69CiPPvoojRs3pkyZMtSuXZvHHnuMpKQk5zq7d+9mwIAB1KtXj6CgIC655BJGjhyZryuC8trHcHG3qRKRnKlwElvdfvvtbNiwgVmzZrFt2zYWLFhAhw4dClRQ5FdRX6Latm1bEhISnFOvXr3o2rVrpmW9e/fmueeeo3fv3lx11VV89913bNq0iddff50NGzbw0Ucf5fvzfv75Zzp16sS3337LunXr6NixI927dyc2Nta5TkxMDL179yYqKooNGzYQFRVFr169WLVqlXOdn376iUceeYTffvuNJUuWcPbsWTp37sypU6cAOH36NOvXr+eFF15g/fr1zJs3j23bttGjR488M/bt25e4uDi+//57vv/+e+Li4oiKisq0jjGG/v3707t373y3fdeuXdx0001cc801xMbG8uyzz/LYY48xd+5c5zrLly/nrrvuYtmyZcTExFC7dm06d+7M/v37c9xucnIynTp1Ijw8nDVr1jB58mQmTpzIpEmTCvTZFzpw4AAHDhxg4sSJbNy4kZkzZ/L9998zYMAA5zpbt24lPT2dd999l82bN/PGG28wbdo0nn322Vy/i/zs49mzZ/PEE0/w3HPPERsbyzXXXMONN97I3r17c922iOSD8QLx8fEGMPHx8XZHkfMcO3bMAGb58uU5rlOnTh0DOKc6deoYY4zZsWOH6dGjh6lataoJDg42rVq1MkuWLMny3pdeesn069fPlC9f3tx7772ZtgWY9u3bZ/u5y5YtM4A5duxYlteaN29uRo4cmWV5v379TM+ePTMtW7VqlQHMm2++meN3cDEiIiLM6NGjnc979eplunbtmmmdLl26mD59+uS4jYMHDxrA/PTTTzmus3r1agOYPXv25LjOli1bDGB+++0357KYmBgDmK1bt2ZZf+TIkaZ58+Y5bu98Tz/9tLn00kszLRs0aJBp06ZNju85e/asKVeunJk1a1aO60ydOtWEhISYM2fOOJeNHz/ehIeHm/T09EJ/dna++OILExAQYNLS0nJc59VXXzX16tXLdTv52cetW7c2Dz74YKZ1Lr30UjN8+PACZRbxFMX5d149TmKbsmXLUrZsWb766qsc72a9Zs0aAGbMmEFCQoLz+cmTJ7nppptYunQpsbGxdOnShe7du2f5H/Vrr71G06ZNWbduHS+88ILz0M3SpUtJSEhg3rx5LmwhfPLJJ5QtWzbH8/MqVKgA/HsIcfny5fnednp6OidOnKBSpUrOZTExMVluT9SlS5dcb0/kOHx0/nayW8fHx8eZNzsxMTGEhITwn//8x7msTZs2hISEXPTtkXJq19q1a0lLS8v2PadPnyYtLS3XdsXExNC+fftMw5d06dKFAwcOsHv37nx/tuOwreM92XHceNTPL+dTS5OSkrLkrVu3LqNGjcqUObd9rNtUibiWCiexjZ+fHzNnzmTWrFlUqFCBdu3a8eyzz/L7778716lSpQpgFRhhYWHO582bN2fQoEE0a9aMhg0b8vLLL1O/fn0WLFiQ6TOuu+46nnrqKRo0aECDBg2c769cuTJhYWG5/lEtCtu3b6d+/fr4+/vnup6/v7/zfJj8ev311zl16hS9evVyLktMTCzQ7YmMMQwZMoSrr746x5H1z5w5w/Dhw+nbt2+udxxPTEykatWqWZZXrVo1x8/Pr5zadfbsWQ4fPpzte4YPH06NGjW44YYbCrxdx2v5/ewyZcrQuHHjHPfzkSNHeOmllxg0aFCOWXbu3MnkyZOzDLNyySWXZBrQL699XJjbVIlI/qlwElvdfvvtHDhwgAULFtClSxeWL1/OlVde6TypOienTp3i6aefJiIiggoVKlC2bFm2bt2apcepVatWLkyfN5PLrYHOV6NGDbZu3Urr1q3ztd3PPvuMUaNGMXv27CzFSkFuTzR48GB+//13Pvvss2xfT0tLo0+fPqSnpzN16lTn8gcffNDZY1i2bNkcPzuvz8/O+ds9v4jIrl05fearr77KZ599xrx58yhdunSun5ef7ea1TuvWrdm6dSs1atTIsv3k5GS6detGREQEI0eOzDbDgQMH6Nq1K3feeScDBw7M9NoPP/zA4MGD88x84bKC/ByISP55zHAEUnKVLl2aTp060alTJ1588UUGDhzIyJEjiY6OzvE9w4YNY9GiRUycOJEGDRoQFBTEHXfckeUE8ODg4EJlcvSsJCUlZTk8dfz48XzfLLpRo0asWLGCtLS0PHud8mv27NkMGDCAL7/8MktvSlhYWL5vT/Too4+yYMECfv7552xH1E9LS6NXr17s2rWLH3/8MVNv05gxY3jqqaeyfPbff/+dZTuHDh3K8fZI2Tn/ikfHZ+bULj8/PypXrpxp+cSJExk3bhxLly7l8ssvz/Wzctou/NvzVJDPvtCJEyfo2rUrZcuWZf78+dn+DBw4cICOHTs6B/fNS177uDC3qRKR/FOPk7idiIgI5xVeYB3GOnfuXKZ1fvnlF6Kjo7n11ltp1qwZYWFhuZ5f4hAQEACQZXsXatiwIaVKlXKeU+WQkJDA/v37ady4cb7a0rdvX06ePJmpt+Z82Q13kJvPPvuM6OhoPv30U7p165bl9cjISJYsWZJp2eLFi2nbtq3zuTGGwYMHM2/ePH788Ufq1auXZTuOomn79u0sXbo0S4FQtWpV5+HPBg0aOD87KSkp0xAAq1atIikpKdPn5+X87Tp603JqV6tWrTIVI6+99hovvfQS33//fb56GyMjI/n5558zFdyLFy8mPDycunXrFuizL5ScnEznzp0JCAhgwYIF2fZ87d+/nw4dOnDllVcyY8YMSpXK+1dyXvv4/NtUnW/JkiUF2g8ikgOXn37uBnRVnXs6fPiw6dixo/noo4/Mhg0bzF9//WW++OILU61aNdO/f3/neg0bNjQPPfSQSUhIMEePHjXGGHPLLbeYK664wsTGxpq4uDjTvXt3U65cOfP4448731enTh3zxhtvZPrMtLQ0ExQUZF5++WWTmJhojh8/nmO+hx56yNSuXdvMnz/f/PXXX2bFihWmffv2plmzZtleGZXdVXXGWFdl+fr6mmHDhpmVK1ea3bt3m6VLl5o77rjDebXdvn37TOPGjc2qVatyzPPpp58aPz8/89///tckJCQ4p/Pb8OuvvxpfX18zYcIE88cff5gJEyYYPz+/TFe6PfTQQyYkJMQsX74803ZOnz7t/I569OhhatasaeLi4jKtk5KSkmM+Y4zp2rWrufzyy01MTIyJiYkxzZo1MzfffHOmdbZv325iY2PNoEGDTKNGjUxsbKyJjY3Nddt//fWXKVOmjHnyySfNli1bzPTp042/v7+ZM2eOc51XXnnFBAQEmDlz5mTKfOLEiRy3e/z4cVOtWjVz1113mY0bN5p58+aZ8uXLm4kTJxbos1etWmUaN25s9u3bZ4wxJjk52fznP/8xzZo1Mzt27MiU5+zZs8YYY/bv328aNGhgrrvuOrNv375M65zvuuuuM5MnT3Y+z88+/vzzz42/v7+ZPn262bJli3niiSdMcHCw2b17d47fhYgnK86/8yqcxDZnzpwxw4cPN1deeaUJCQkxZcqUMY0bNzbPP/+884+4McYsWLDANGjQwPj5+TmHI9i1a5fp2LGjCQoKMrVq1TJTpkwx7du3z7NwMsaY999/39SqVcuUKlUqx+EIHPnGjBljLrvsMhMUFGTq1KljoqOjs/xhc8ipcPp/9u47PIpq/+P4ewnJElooAUIgNFE0oICgl4BeRKXYQK9SRBFUigrXAjawAPFCUBHrRVQwcK1YwB+KBVBQuUaaiYKolEsJvZpQJAnJ/P6Y3SUhPWRztnxezzPPmd2dTL6zS5IPZ86csSzLmjt3rvX3v//dqlGjhlWtWjXrggsusOLj4z3TEWzZssUCrKVLlxZaT9euXfNNpwBYgwcPzrPdhx9+aLVq1coKDQ21zj33XOvjjz/O83pB+wCsxMTEPLUUtBRVn2VZ1sGDB61bbrnFqlGjhlWjRg3rlltuyTflQmHHsWXLliL3vWzZMqt9+/ZWWFiY1axZM+vVV1/N8/rpU1e4l4Kmjsjtl19+sS699FLL6XRaUVFR1oQJEzxTEZT0e7unr3Afg/txUceZmJhY6DanH9fpx1DcZ2xZlvXvf//batq0qRUWFmZdeOGFRU43IeLvKvLvvMOyTpsiNwDt2LGDmJgYUlNTCxzLISIiIv6rIv/Oa4yTiIiISAkpOImIiIiUkIKTiIiISAkpOImIiIiUkIKTiIiISAkpOImIiIiUkIKTiIiISAkpOImIiIiUkIKTiIiISAkpOImIiIiUkIKTiIiISAkpOImIiIiUkIKTiIiISAkpOImU0ZvAdUCi6ULc/vMfuPpqSPSZikREAo6Ck0gZrQc+A34zXYjbihXwxRewcaPpSkREApaCk0gZOVytZbSKXDZvttuzzjJbh4hIAFNwEgkUmzbZbcuWZusQEQlgCk4iZeRTPU6WBdu22evNmhktRUQkkCk4iZRRqKvNMlqFi8MB1avb68ePm61FRCSAKTiJlFGYq800WkUu0dF2u2uX2TpERAKYseC0detW7rzzTpo3b054eDhnnXUW48ePJzMz758hh8ORb5kxY4ahqkVOcbpaBScRkeBR2dQ3/v3338nJyeG1116jZcuWrFu3jmHDhnHs2DGmTp2aZ9vExER69erleRwREVHR5Yrk43M9Tg0b2q2Ck4iI1xgLTr169coThlq0aMEff/zBq6++mi841apVi6ioqIouUaRI7uCUYbSKXNw9Ttu3m61DRCSA+dQYp7S0NOrUqZPv+VGjRhEZGclFF13EjBkzyMnJKXI/GRkZpKene5YjR454q2QJYu5TdT4TnNq1s9sffzRahohIIDPW43S6zZs38/LLL/Pcc8/lef6pp57iiiuuIDw8nK+//poxY8Zw4MABHn/88UL3lZCQwMSJE71dsgQ5nwtOl15qtykpkJYGOqUtIlLuyr3HacKECQUO6M69rF69Os/X7Nq1i169etG3b1+GDh2a57XHH3+cuLg42rVrx5gxY4iPj+fZZ58tsoaxY8eSlpbmWdavX1/ehynie8GpUSN71vCcHPjhB9PViIgEpHLvcRo1ahQDBgwocptmuSbo27VrF926dSMuLo7XX3+92P136tSJ9PR09u7dS4MGDQrcxul04nQ6PY/T09NLVrxIKfjUPE5usbH2rVdSU01XIiISkMo9OEVGRhIZGVmibXfu3Em3bt3o0KEDiYmJVKpUfAdYcnIyVapUoVatWmdYqciZ8amZw91CXXEuO9tsHSIiAcrYGKddu3Zx2WWX0aRJE6ZOncr+/fs9r7mvoPv000/Zs2cPcXFxhIeHs3TpUh577DGGDx+ep0dJxAR3zPep4BQSYrcKTiIiXmEsOC1atIhNmzaxadMmGjdunOc1y7L/FIWGhjJ9+nRGjx5NTk4OLVq0ID4+npEjR5ooWSQPd49T0dd4VrDKrh/pkyfN1iEiEqCMBachQ4YwZMiQIrc5fa4nEV/ik6fq1OMkIuJVPjWPk4g/cf+vw6cGh6vHSUTEqxScRMrI56YjAPU4iYh4mYKTSBkpOImIBB8FJ5Eyct+rzqdO1TlcI6+KuS2RiIiUjYKTSBm5A1NokVtVsGPH7LZaNbN1iIgEKAUnkTLKdLVhRW5VwdzBqXp1s3WIiAQoBSeRMnKPbfKp4HT0qN0qOImIeIWCk0gZuXucfGoOewUnERGvUnASKSP3dWs+9UOU5Rp55R4kLiIi5cqnfueL+JOqrvYvo1Wc5qyz7HbDBrN1iIgEKAUnkTJynww7YrSK07Rubbe//mq2DhGRAKXgJFJG7uB01GgVp3EHp/XrzdYhIhKgFJxEyijc1Z4wWsVpmjSx2927zdYhIhKgFJxEysgnb7lSr57d7t8PlmW2FhGRAKTgJFJGuYOTz0QUd3DKyIAjPjX6SkQkICg4iZRR7vmbfOZ+dVWrnrrdyv79ZmsREQlACk4iZZQ7OPnk6bp9+8zWISISgBScRMrIZ6eYdE9+qUkwRUTKnYKTSBnl5Fr3qYhy/LjdVq1a9HYiIlJqCk4iZZR7QLhP/SC5g5N7rJOIiJQbn/p9L+JPfOZKutNlu+6iV0k/3iIi5U2/WUXKKCTXenahWxkQ7pqa8y+fuoueiEhAUHASKSOfDU7usU3uU3YiIlJuFJxEyij3D49PBSf1OImIeI2Ck0gZqcdJRCT4KDiJlJHPDg6vXNlus3xmPnMRkYCh4CRSRpm51p2FbmWAOzCFhZmtQ0QkACk4iZRR7uDkUxEl01WZgpOISLlTcBIpo9wnwkKNVVGAkyftNiSk6O1ERKTUFJxEyij3D49PjXcKdcU4jXESESl3Ck4iZZS7P+eksSoK4HSNuMrMLHo7EREpNaPBqVmzZjgcjjzLo48+mmeb7du3c91111GtWjUiIyO59957ydQfBPEBPjsdgTs4ZWSYrUNEJABVNl1AfHw8w4YN8zyuXr26Zz07O5trrrmGevXqsXz5cg4ePMjgwYOxLIuXX37ZRLkiHrl/eBScRESCg/HgVKNGDaKiogp8bdGiRaxfv57U1FSio6MBeO655xgyZAiTJk2iZs2aFVmqSB4+e6rOfTWdemZFRMqd8TFOTz/9NHXr1qVdu3ZMmjQpz2m4pKQk2rRp4wlNAD179iQjI4M1a9YUus+MjAzS09M9y5EjR7x6DBKccg8IdxirogDZrv6vysb/XyQiEnCM/ma97777uPDCC6lduzYrV65k7NixbNmyhZkzZwKwZ88eGjRokOdrateuTVhYGHv27Cl0vwkJCUycONGrtYv4bHByX02n4CQiUu7KvcdpwoQJ+QZ8n76sXr0agAceeICuXbtywQUXMHToUGbMmMGsWbM4ePCgZ38OR/4/SZZlFfi829ixY0lLS/Ms69evL+/DFMkTnIx33ebmnscp1KdmlxIRCQjl/l/SUaNGMWDAgCK3adasWYHPd+rUCYBNmzZRt25doqKiWLFiRZ5tDh8+TFZWVr6eqNycTidO56mbYKSnp5ewepGSy8m17pM9TgpOIiLlrtyDU2RkJJGRkWX62uTkZAAaNmwIQFxcHJMmTWL37t2e5xYtWoTT6aRDhw7lU7BIGeUOSz41AWZOTvHbiIhImRgbBJGUlMSPP/5It27diIiIYNWqVTzwwAP07t2bJk2aANCjRw9iY2MZNGgQzz77LIcOHeLBBx9k2LBhuqJOjHNihycL+AuIMFvOKe7e2N27zdYhIhKAjAUnp9PJ3LlzmThxIhkZGTRt2pRhw4bx8MMPe7YJCQlh4cKF3HPPPXTp0oXw8HAGDhzI1KlTTZUt4uEAqgFHXYvPiImx29RUs3WIiAQgY8Hpwgsv5Mcffyx2uyZNmvDZZ59VQEUipVcdOzT51IQX7uC0fbvZOkREApBPXQwk4m9cU03iU7fTdc++f+KE2TpERAKQgpPIGXAPEPepweGWq5pK+vEWESlv+s0qcgbcP0A+FZzcV9UpOImIlDv9ZhU5Az7Z46TgJCLiNfrNKnIG3D9APjVzkjs4FTG7voiIlI2Ck8gZcPc0+VREcd/Uulo1s3WIiAQgBSeRM+AOTj71g+S+12PdumbrEBEJQD71+17E37hP0fnUD5KCk4iI1/jU73sRf3PS1frUD5L7Viv165utQ0QkAPnU73sRf5Ppap1GqzjNxo1227Kl2TpERAKQgpPIGchwtT4TnNLTYe9ee/3ss83WIiISgBScRM6AzwWnTZvstl49iIgwW4uISABScBIpIwsfDE7u03TqbRIR8QoFJ5EyyuDUdARVTBaS21df2W2bNmbrEBEJUApOImV0yNWGAD5xUuzwYXj/fXt98GCztYiIBCgFJ5Eycgen2vjIzOFz5sBff8EFF0BcnOlqREQCkoKTSBmlu9pwo1XkMneu3d51l+5TJyLiJQpOImXUytWmAvtMFuJ24IDdXnCB2TpERAKYgpNIGdUF3BHlW5OFuP31l92G+0wfmIhIwFFwEjkDl7lanwhOx4/bbdWqZusQEQlgCk4iZ6Crq/2GU/etM8YdnNTjJCLiNQpOImfg7672N6AJMBbYYKIQy4KsLHs9Pb3obUVEpMwUnETOQCTwDPZ4p93AFOxB45cCicDRiirE4YCrrrLXn3mmor6riEjQUXASOUMPAbuAj4CrsX+olgN3AFHAncB/OTXLuNdMnGi3774Lv/3m7e8mIhKUFJxEykEYcCOwENgOJABnA8eAN4FLgHOBp7F7pryiQwe4/nrIyTkVokREpFwpOImUs0bAo8AfwPfA7UA17LFPjwIxwHXYp/I+Bb4Dfga2YM9GfkaDzN2Bae5c+PHHM9mTiIgUoLLpAkQClQO7p+kS4EXgQ+zep/8Cn7mWwlTFvv9dzdPaYp+74AIihg8n4u23qRoXh6NDB+jb115atPDCUYqIBBeHZVleH3ph2o4dO4iJiSE1NZXGjRubLkeC3B/AbGAV9m1b0nK1f5Xj9wk5eZKa6enUTE8nIi2NiOxsatasSUSDBtSsUaPQIHZ6IAstx5pERLyhIv/Oq8dJpIK1wh4DVZAs8ocpd1ua53KA7MqVOVynDofr1DmjesMpRY9XIc9Vx0duhCwicoYUnER8SCj21AZ1z2AfFnCc00LV4cOkrVpF2i+/kL5rF2k1a5JesyZpERGkde1KesuW+cKXazpN/nIte8+gpkjgQtfSwbU0Q2FKRPyPgpNIgHFgD0avBkS7n6xdG7p0ge3b4Y03YEOuaTqffx7uvz/ffk5iB6kz6flKA7KBA8Ai1+IpifxhqgW6YkVEfJux4LRs2TK6detW4GsrV67koosuAsDhyP9/0ldffZW77rrLq/WJBIwNG+DVVyExEdLS7OeqVIGbb4a77wbXz9rpKgN1XEtZWdhTMvwG/ASscS1rgcPA167FrSb5w9TZKEyJiO8wFpw6d+7M7t15Z7R54oknWLJkCR07dszzfGJiIr169fI8joiIqJAaRfzWyZPw2WcwfTosXnzq+bPOssPSkCFQ90xOCJaMA3t800WuxS0TWEfeMPULdm/VMtfiVh1oT94w1QoI8WrlIiIFMxacwsLCiIqK8jzOyspiwYIFjBo1Kl8vU61atfJsKyKF2LsXZs6E116D1FT7OYcDrr0W7rkHevSASub7b8I41bM01PVcFrCevGHqZ+zb1nzvWtyqAu2wQ5Q7UJ2Hxh6IiPf5zHQEH3/8Mf369WPr1q3ExMR4nnc4HDRq1IgTJ07QvHlz7rzzToYPH06lIn75Z2RkkJGR4Xm8c+dOYmNjNR2BBLb582HAAMjMtB9HRsLQoTBiBDRrZrS0sjoJ/I4dotyBKplTA9dzq459y5sbXG3NCqpRRMwLyukIZs2aRc+ePfOEJoCnnnqKK664gvDwcL7++mvGjBnDgQMHePzxxwvdV0JCAhN1ywkJJhs3wuDBdmi6+GL45z/tSS+dTtOVnZHKQBvXMtj1XDb2LOynh6kjwAeuJQy4EjtE9QbqV2jVIhLIyr3HacKECcWGllWrVuUZx7Rjxw6aNm3KBx98wI033ljk1z733HPEx8eT5h7kWgD1OElQOXEC4uIgJQUuvRS++QYq+8z/iSpEDrAamA/Mww5WbpWwZ2//B3A90LSiixMRr/PrHqdRo0YxYMCAIrdpdtppg8TEROrWrUvv3r2L3X+nTp1IT09n7969NGjQoMBtnE4nzlz/005PTy++cBF/NXq0HZoiI+G994IuNIEdji52LZOxr+Jzh6ifsO8H+B1wP/aYqH9g90adh+aSEpHSKfffsJGRkURGRpZ4e8uySExM5LbbbiM0tPibOyQnJ1OlShVq1ap1BlWKBIi5c+2pBgDefhsaNTJbjw9wALGu5TFgG/AJdohajh2kfgIeB87BDlD/ADqiaQ9EpHjG/2v6zTffsGXLFu688858r3366afs2bOHuLg4wsPDWbp0KY899hjDhw/P06MkEpT27YNhw+z1ceOgZ0+z9fiopsB9rmU/sAA7RC3BPqX3tGtpBSQCcWbKFBE/YTw4zZo1i86dO3Peeefley00NJTp06czevRocnJyaNGiBfHx8YwcOdJApSI+5vhxOHLEXteEsCVSD7jTtaQDX2Cf0luIffPlS4BHgfHYA8xFRE7nM9MReFNFDhoTqVBdusAPP8Azz8BDD5muxm/9CfwTeNv1uB3wFvbVfCLi+yry77xO6Yv4syFD7Hb2bAj8/wN5TS3soPQh9g2WU7An1XwIe1B5lqnCRMTnKDiJ+LOarmkef/sNjh0zW0sAuAn7PnpXY98WZirQFTtMXQ9MBzabKk5EfIKCk4i/2rbt1NimMWOgenWz9QSIhsBn2L1PNwOR2JNr/h8wEmjpWu5xPafJTkSCi4KTiD/KyoKbb4Y//7RnCp80yXRFAcWB3fv0LrAXe3LNSdi9T5Wxe51exe6Fqgv83fX6auzJOEUkcCk4ifijJ5+EpCT7VN3770OYrgHzlkrY453GAcuAQ+TtfTqJfQPix4GLsG/vcjMwG9hV4dWKiLcZn45ARErh4EF46y2YMsV+PHMmNG9utqYgUwP7/nfu+xz8D/gKWAR8DRwE3nctYF+Z9w9gDLrxsEggUHAS8XV//gnz58MHH8CSJXDypP38iBH2jXzFqBbA3a4lC/gRO0R9hX3qbp1reR17os1bUVe/iD9TcBLxRenpsGCBfUuVr76yxzS5tWsHt9wC995rrDwpWChwqWt5CjgAfAlMBDYBg4EZwEvYt3gREf+j4CTiKywLPvzQvlHvF19ARsap11q3hv797eWcc8zVKKUSid3D1Bd4ATtMJWHfjPhO7BsS1zNVnIiUiYKTiK9ITITc92xs1coOSv362cFJ/JYTeAQY5GrfBmYCH2FfjTcCCDFWnYiUhk61i/iK3IO833zTntRy4kSFpgASjT1D+XKgPfatXkZi90D9aK4sESkFBScRX9Gtmz03E8DLL0N2ttl6xGu6AKuAV4AI4CcgDhgK7DdYl4gUT8FJxJc8/zzUqgXJyfDSS6arES8Kwe5t2gAMcT03C2iFPYBcsVnENyk4ifiSBg1g6lR7/YknYOtWo+WI99UHErFP37UFDmNPbdAJWGmwLhEpmIKTiK+54w74+9/h+HF45hnT1UgF6YI979NL2BNlrgb+hn1blxRjVYnI6RScRHyNwwFXXGGvZ2aarUUqVGXgn9in7wZj3zPv/7AHkv8D+MVcaSLiouAk4os2b7bbs84yW4cY0QD7Xnfrse975wDmY5/KuwlYa6wyEVFwEvFF//uf3bZoYbYOMepc4F3sW7b0xw5QHwMXAP2AX82VJhK0FJxEfJF6nCSXWOybBv+CPQs5wIfA+cAA4A9DdYkEIwUnEV/z11+we7e9rh4nyaUN8AF2gLoRsIC5QGfgoMG6RIKJgpOIr9mxw26rVYPatc3WIj7pfOzbtaQAzYBDwNcG6xEJJgpOIr5m1y67bdTIvsJOpBBtsacrAFhisA6RYKLgJOJLMjNhwQJ7PTrabC3iF1wTV7AQ2GqwDpFgoeAk4gtycuC99+C882DaNPu5Dh3M1iR+oSv27OO7sE/hvY499klEvEPBScS0xYuhY0cYONCehiAqCmbMgClTTFcmfqAG8F/smcePAiOAXkCqyaJEApiCk4gpa9bAlVdCjx72TX1r1oRJk2DTJhgxAipXNl2h+ImWwLfANKAKsAj7CrxE1PskUt4UnEQq2qZNMGCA3cv09dcQFgYPPGDP3TRunH01nUgphQAPYF9p1wlIB+4ArgV2mitLJOAoOIlUpNdft8cxzZ1rXzE3aBD88Yc9riky0nR1EgBaAcuBZwAn8Dl279N6k0WJBBAFJ5GKsn8/jBkDJ09Cz5726bn//AeaNTNdmQSYEOAhIBl7wPifwByTBYkEEAUnkYryzDNw9ChceCF88QW0bWu6Iglw5wF3u9Z1XzuR8uHV4DRp0iQ6d+5M1apVqVWrVoHbbN++neuuu45q1aoRGRnJvffeS2ZmZp5t1q5dS9euXQkPD6dRo0bEx8djWRryKH5k927497/t9aee0sSWUmFau1oFJ5Hy4dXLdjIzM+nbty9xcXHMmjUr3+vZ2dlcc8011KtXj+XLl3Pw4EEGDx6MZVm8/PLLAKSnp9O9e3e6devGqlWr2LBhA0OGDKFatWqMGTPGm+WLlJ+EBPsedHFxcNVVpquRIBLrarcCxwBdeiByZrwanCZOnAjA7NmzC3x90aJFrF+/ntTUVKJdsyQ/99xzDBkyhEmTJlGzZk3eeecdTpw4wezZs3E6nbRp04YNGzYwbdo0Ro8ejUP/cxdft2MHvPaava7eJqlgkdgTZO7DvjlwnNlyRPye0TFOSUlJtGnTxhOaAHr27ElGRgZr1qzxbNO1a1ecTmeebXbt2sXWrVsrumSR0nv3XftWKl26wOWXm65GglAXVzsS+MtkISIBwGhw2rNnDw0aNMjzXO3atQkLC2PPnj2FbuN+7N7mdBkZGaSnp3uWI0eOeKF6kRL6+GO7veUW9TaJES8C9bCvshuBJsUUOROlDk4TJkzA4XAUuaxevbrE+yvoVJtlWXmeP30b98Dwwk7TJSQkEBER4VliY2ML3E7E61JTYeVKOzDdcIPpaiRIxQBzsacpeAv4t9lyRPxaqcc4jRo1igEDBhS5TbMSzksTFRXFihUr8jx3+PBhsrKyPL1KUVFR+XqW9u3bB5CvJ8pt7NixjB492vN4586dCk9ixvz5dtuli30POhFDumFPijkGe4bxtsClRisS8U+lDk6RkZFEltMMx3FxcUyaNIndu3fTsGFDwB4w7nQ66eC6M3xcXBzjxo0jMzOTsLAwzzbR0dGFBjSn05lnTFR6enq51CtSKn/+Ce4LI/7xD5OViAB2YFoFvA/0xe596m60IhH/49UxTtu3byclJYXt27eTnZ1NSkoKKSkpHD16FIAePXoQGxvLoEGDSE5O5uuvv+bBBx9k2LBh1KxZE4CBAwfidDoZMmQI69atY/78+UyePFlX1Ilv++YbuOACe3bw8HC46SbTFYngAGYCFwB7gR7A9cD/DNYk4m+8GpyefPJJ2rdvz/jx4zl69Cjt27enffv2njFQISEhLFy4kCpVqtClSxf69evH9ddfz9SpUz37iIiIYPHixezYsYOOHTtyzz33MHr06Dyn4kR8xokTMHo0XHGFPb6pZUv7Rr4xMaYrEwHseZy+Be7FHvP0f9gzjI8DjhqsS8RfOKwgmIJ7x44dxMTEkJqaSuPGjU2XI4Hq99/hxhthvet2qiNGwNSpUL262bpECvErcD+wxPU4GpgBXGeqIJEyqsi/87pXnUh5uesuOzQ1aACffQYzZig0iU9rDSwCPgFaALuA/oAmcBEpnIKTSHk4cgT++197/fvv4ZprzNYjUkIOoA+wHojCniBzrdGKRHybgpNIeVi+HE6ehBYt4OyzTVcjUmpOoL1r/WeThYj4OAUnkfLw9dd2q1uqiB9r62oVnEQKp+AkcqYsS8FJAoKCk0jxFJxEzsSuXdCnD6Sk2LdV6dbNdEUiZeY+VbcK+MpkISI+TMFJpCwsCxITITYWPv0UQkPhhRd0WxXxa62AW4Bs4EbsACUieSk4iZTWtm3QqxfccQekpcFFF8FPP8G995quTOSMvQlcCRwDrgY2mi1HxOcoOImUVE4OvPoqtGkDixaB0wnPPAM//GA/JxIAwoB5wIXAAaAnsKfIrxAJLqW+ya9IUNq4EYYPh2XL7MddusCsWdCqldGyRLyhBvA50AXYDPTCvk1LhMmiRHyEepxEinL0KDz6KLRubYemqlXhxRfh228VmiSgNcAeIF4f+yq7m4BMoxWJ+AYFJ5GCWBa8844djp5+GrKyoGdPWLvWHssUEmK6QhGvOwv4AvvGwEuAYUDA39xUpBgKTiKn++knuOQSuPVWe7qBFi1gwQL44gt7XSSIXAh8BIQA/wHGmy1HxDgFJ5Hc3nwTOna0B3xXqwaTJ8Ovv8J119nzNIkEoV7Aa671p4D5BmsRMU3BScTt/fdh6FD7NF3fvvDHHzB2LFSpYroyEePuBB50rT8MZBmsRcQkBScRsE/FDRpkh6YRI2DuXGjUyHRVIj5lPPZg8U3ATMO1iJii4CSyZIndw3TypD2uafp0nZYTKUB14EnX+kTgqMFaRExRcJLg9t//2veay8yEG26wb6NSST8WIoUZhn213V7gecO1iJigvxASvHbuhGuugePH7akG3nsPKmtOWJGihAGTXOvPAn+aK0XECAUnCV7x8fa95jp2hHnz7FuoiEix+gLnAUeAT8yWIlLhFJwkOG3YYN8yBeD55+0ZwUWkRCoBN7vW55osRMQABScJTk88AdnZcO219mSXIlIq/VztEuCgyUJEKpiCkwSfNWvggw/sK+cmTzZdjYhfagW0BU4C8wzXIlKRFJwk+DzxhN3eeiucf77ZWkT8WH9X+77RKkQqloKTBJfNm+17zjkcMF533RI5EwNc7VJgm8lCRCqQgpMEl5mu+Y579oSzzjJbi4ifaw5cDlhAouFaRCqKgpMEj8xM+ya+AMOHm61FJEAMdbVvAtkmCxGpIApOEjw+/RT27YOoKPtqOhE5YzcAtYFU7CvsRAKdgpMED/dputtvh9BQs7WIBIgqwK2udZ2uk2Cg4CTB4dgx+OYbe/2228zWIhJgbnK1K4xWIVIxFJwkOHz/vT3GqUkTaNXKdDUiASXW1W4DjpssRKQCeDU4TZo0ic6dO1O1alVq1aqV7/Wff/6Zm2++mZiYGMLDwznvvPN48cUX82yzdetWHA5HvuXLL7/0ZukSaBYvttvu3e2pCESk3EQCdbGvrttguBYRb/PqreAzMzPp27cvcXFxzHLfFyyXNWvWUK9ePd5++21iYmL44YcfGD58OCEhIYwaNSrPtkuWLKF169aex3Xq1PFm6RJovv7abq+80mwdIgGqFfAD8AfQzmwpIl7l1eA0ceJEAGbPnl3g63fccUeexy1atCApKYl58+blC05169YlKirKK3VKgDt4EH7+2V7v1s1sLSIB6izs4LTZdCEiXuZzY5zS0tIK7E3q3bs39evXp0uXLnz00UcGKhO/tWyZ3cbGQoMGRksRCVTu6WT/Z7QKEe/zao9TaSUlJfHBBx+wcOFCz3PVq1dn2rRpdOnShUqVKrFgwQL69+/PnDlzuPXWWwvcT0ZGBhkZGZ7HR44c8Xrt4sOWLrVb9TaJeI07OKnHSQJdqXucJkyYUOBg7dzL6tWrS13Ir7/+Sp8+fXjyySfp3r275/nIyEgeeOABLr74Yjp27Eh8fDz33HMPzzzzTKH7SkhIICIiwrPExsYWuq0EAQUnEa9TcJJgUeoep1GjRjFgwIAit2nWrFmp9rl+/Xouv/xyhg0bxuOPP17s9p06dWKmezLDAowdO5bRo0d7Hu/cuVPhKVhlZcH69fZ6585maxEJYC1c7Q4gC9AUsxKoSh2cIiMjiYyMLLcCfv31Vy6//HIGDx7MpEmTSvQ1ycnJNGzYsNDXnU4nTqfT8zg9Pf2M6xQ/dTzXrDK1a5urQyTA1QNCsO9Xtw9oZLYcEa/x6hin7du3c+jQIbZv3052djYpKSkAtGzZkurVq/Prr7/SrVs3evTowejRo9mzZw8AISEh1KtXD4A5c+YQGhpK+/btqVSpEp9++ikvvfQSTz/9tDdLl0Dx119263BArjAtIuWrEtAA2AXsRsFJApdXg9OTTz7JnDlzPI/bt28PwNKlS7nsssv48MMP2b9/P++88w7vvPOOZ7umTZuydetWz+N//etfbNu2jZCQEM455xzefPPNQgeGi+Th7nEKD9fElyJe1pBTwUkkUDksy7JMF+FtO3bsICYmhtTUVBo3bmy6HKlIv/4KbdpAZCTs32+6GpGAdh3wGfAaMNxwLRJcKvLvvM/N4yRSrt56y27r1zdbh0gQaOlqXwaOmixExIsUnCRwLV4M7rFw8fFmaxEJAg8BUcA6YDD2vetEAo2CkwSmffvgttvs9REj4MYbzdYjEgSigXlAmKst2XXSIv5FwUkCT04ODBkCe/ZA69YwbZrpikSCRhzwb9f6k8CnBmsR8QYFJwk8L70EX3wBVarA++9D1aqmKxIJKkOBe7BP1d0CbDJbjki5UnCSwHLkCIwfb68/95x9RZ2IVLgXgAuBI9in7UQChYKTBJbZsyE9HVq1grvuMl2NSNAKBSJc6w1MFiJSzhScJHBkZ8OLL9rr990HlfTPW8SkP1ztuUarEClf+ssigWPhQti8GWrVOnVFnYgYcQR7FnGAViYLESlnCk4SGDIz4dln7fXhw6FaNbP1iAQ5d29TA6CWwTpEypuCk/i/tWvhb3+D5cuhcmUYNcp0RSJB75CrrQScNFmISDlTcBL/lZ0NU6ZAhw6QkgJ168JHH0FMjOnKRILepUAk9g1/5xuuRaQ8KTiJf9q4ES65BMaOhaws6N3bvqFvnz6mKxMRIBx7LicATUErgUTBSfzPunX2qbkff4SaNe0pCD75BBroomcRX3IP9u1XfgS+N1yLSHlRcBL/smUL9OgBhw/DxRfb45sGDwaHw3RlInKaBsDtrvXH0E1/JTAoOIn/2LvXDk27d9szgn/xBTRpYroqESnC44ATu8dpkeFaRMqDgpP4h7Q06NULNm2C5s3hq6+gTh3TVYlIMRpzaqyTep0kECg4ie/76y+47jr7yrkGDWDRIoiONl2ViJTQWKA6sAZdYSf+T8FJfN/w4fD99xARYfc0tWxpuiIRKYV6wP2u9QSDdYiUBwUn8W1vv20vISHwf/8HbduarkhEymCkq13DqckxRfyRgpP4rs2b4e677fXx46FrV7P1iEiZRWHfs84C/mu4FpEzoeAkvikrCwYOhKNH4dJLYdw40xWJyBn6u6v9zmgVImdGwUl80/jxsHIl1Kp16lSdiPg1d3DSZJjizxScxLfs3m1PaJngGkL6xhuaq0kkQLiD02pgrclCRM6AgpP4hsxMePZZOOcc+M9/7JnAx42Dm24yXZmIlJMmQE8gG+gDHDRbjkiZKDiJeV9+CeefDw8/bI9p+tvfYMUKmDTJdGUiUs7eAZoDW4B+wEmz5YiUmoKTmLNpE/TuDVddBRs22JNbzp4NP/wAF11kujoR8YK6wP8B1YBvgDFmyxEpNQUnqXhHj9qn4Vq3hk8/hcqV4cEH7fA0eDBU0j9LkUB2PvCWa/0l4E2DtYiUlv5CScU5eRJeew3OPtse/J2Zad+0d+1ae3xTzZqmKxSRCnIDMNG1fjew12AtIqWh4CTeZ1n2rN/nnw933QV79kCLFvDJJ/b4pnPPNV2hiBjwONAayESTYor/UHAS70pKsiewvP56+P13iIyEl16C336DPn3sq+dEJChVAjq71leZLESkFLwanCZNmkTnzp2pWrUqtWrVKnAbh8ORb5kxY0aebdauXUvXrl0JDw+nUaNGxMfHY1mWN0uXM7VhA9x4I3TuDP/9L4SH2+OaNm2Cf/4TwsJMVygiPuBiV7vSaBUiJVfZmzvPzMykb9++xMXFMWvWrEK3S0xMpFevXp7HERERnvX09HS6d+9Ot27dWLVqFRs2bGDIkCFUq1aNMWN0PYbP2bcPJk60xzJlZ9sDvW+/3X6uUSPT1YmIj3EHp1VADjoNIr7Pq8Fp4kR76N/s2bOL3K5WrVpERUUV+No777zDiRMnmD17Nk6nkzZt2rBhwwamTZvG6NGjcehUj+/4/Xfo1s0ewwRw7bUwZYp99ZyISAFigXDgCLAB0IhH8XU+Ee5HjRpFZGQkF110ETNmzCAnJ8fzWlJSEl27dsXpdHqe69mzJ7t27WLr1q0GqpUCbdwIl19uh6bYWFi61J5qQKFJRIpQGTjbtb7FZCEiJeTVHqeSeOqpp7jiiisIDw/n66+/ZsyYMRw4cIDHH38cgD179tCsWbM8X9OgQQPPa82bN8+3z4yMDDIyMjyPjxw54r0DENi82e5p2r3bvnLum2/sQeAiIiXQCPgF2GW6EJESKHWP04QJEwoc0J17Wb16dYn39/jjjxMXF0e7du0YM2YM8fHxPPvss3m2Of10nHtgeGGn6RISEoiIiPAssbGxpTxKKbEtW+zQtHOn3dO0ZIlCk4iUinv0406jVYiUTKl7nEaNGsWAAQOK3Ob0HqLS6NSpE+np6ezdu5cGDRoQFRXFHveYGZd9+/YBp3qeTjd27FhGjx7tebxz506FJ2/Yts0+PZeaCq1awddfQ/36pqsSET+j4CT+pNTBKTIykkgv9igkJydTpUoVz/QFcXFxjBs3jszMTMJcl7AvWrSI6OjoQgOa0+nMMyYqPT3da/UGtVtvha1b7ZnAv/kGChngLyJSFHdwSkZX1onv8+q/z+3bt5OSksL27dvJzs4mJSWFlJQUjh49CsCnn37KG2+8wbp169i8eTMzZ87kscceY/jw4Z7gM3DgQJxOJ0OGDGHdunXMnz+fyZMn64o6X1Cjht1efTVER5utRUT81pXYV9atAp4tZlsR0xyWF2eSHDJkCHPmzMn3/NKlS7nsssv48ssvGTt2LJs2bSInJ4cWLVowdOhQRo4cSeXKpzrD1q5dy8iRI1m5ciW1a9fmrrvu4sknnyxxcNqxYwcxMTGkpqbSuHHjcju+oPfVV9Crlx2gUlMh1/xbIiKlMQsYCoQA3wJdzJYjfqYi/857NTj5CgUnL7EsaNMG1q+H556DXOPKRERKwwIGAe8AMdin7eoarUj8SUX+ndepZCk7hwMeeMBef/FFOHnSbD0i4rccwKvYczqlArdjhykRX6PgJGfmllugTh3Yvh2WLTNdjYj4sRrAB4AT+BS790nE1yg4yZnZuhX+/NNer1fPZCUiEgDaAY+41t83WIdIYRSc5Mw88QTk5MD110PbtqarEZEAcJOr/Ro4brIQkQIoOEnZrVkDH39sj3X6179MVyMiAaIN0BQ4gR2eRHyJgpOUXWKi3d58s27mKyLlxgFc4VpPNlmISAEUnKRscnLgk0/s9VtuMVqKiAQe94jJP00WIVIABScpmzVr7Bv7Vq9u369ORKQc1XK1h00WIVIABScpG3dv01VXQZUqRksRkcBTy9X+abAGkYIoOEnZuIPT9debrEJEAlQtV6seJ/E1Ck5SNnv32m1kpNk6RCQgNXO1K4CdBusQOZ2Ck5RN3752O2uW2TpEJCD9DbgEe0qCeMO1iOSm4CRlc9dddjtv3qneJxGRcuIAElzrs4A/DNYikpuCk5RN27bwt7/ZN/Z9803T1YhIALoEuBbIBp4wXIuIm4KTlJ271+n11+15nUREytlk7N6nD4E1hmsRAQUnORMOh93u2gUnTpitRUQC0vnAja71T00WIuKi4CRls3Mn3H+/vf7kk1C1qtFyRCRwtXO120wWIeKi4CSlZ1kwbBj8+Sd07AiPPGK6IhEJYE1drYKT+AIFJym9xET44gtwOmHOHKhc2XRFIhLAFJzElyg4Semkpp46RffUUxAba7QcEQl87uCUCugyFDFNwUlK57774MgRiIuD0aNNVyMiQSAaqAxkoVnExTwFJym5zz+H+fMhJMSegiAkxHRFIhIEKnPqFiybDdYhAgpOUlJ//QX//Ke9/sAD0KaN2XpEJKi0dLWbjFYhouAkJTVlCvzvf9CoEYwfb7oaEQkyCk7iKxScpHgbN8LTT9vrL7wA1asbLUdEgo+Ck/gKBScpWk6OPWdTRgb06AE33lj814iIlDN3cNpotAoRBScpzmuvwbff2jODz5hx6jYrIiIV6BxXuwlNSSBmKThJ4bZtg4cfttenTIHmzc3WIyJBqxn21XXHgV1mS5Egp+AkBbMsGD4cjh6FLl1g5EjTFYlIEAsFWrjWN5gsRIKegpMU7D//gUWL7NuqzJoFlfRPRUTMOtvVapyTmKS/hlKwZ56x2wkToFUro6WIiAA0drU6VScmeTU4TZo0ic6dO1O1alVq1aqV7/XZs2fjcDgKXPbt2wfA1q1bC3z9yy+/9GbpwW3dOli/HsLC4O67TVcjIgLACVdbzWgVEuy8elv7zMxM+vbtS1xcHLNmzcr3ev/+/enVq1ee54YMGcKJEyeoX79+nueXLFlC69atPY/r1KnjnaIF3n/fbq+6CiIizNYiIuJy1NVqJjkxyavBaeLEiYDds1SQ8PBwwsPDPY/379/PN998U2DIqlu3LlFRUV6pU3KxLJg7114fMMBsLSIiuSg4iS/wqTFO//nPf6hatSo33XRTvtd69+5N/fr16dKlCx999FGR+8nIyCA9Pd2zHDlyxFslB55Vq2DTJggPh2uvNV2NiIiH+ze5gpOY5FPB6c0332TgwIF5eqGqV6/OtGnT+Oijj/j888+54oor6N+/P2+//Xah+0lISCAiIsKzxMbGVkT5/m/fPrjlFnv9+ut1axUR8SnuMU5VjFYhwa7UwWnChAmFDuh2L6tXry51IUlJSaxfv54777wzz/ORkZE88MADXHzxxXTs2JH4+HjuuecennFf9VWAsWPHkpaW5lnWr19f6nqCTnq6PaZp0yZo1gymTjVdkYhIHu6xJSeNViHBrtRjnEaNGsWAYsa+NGvWrNSFzJw5k3bt2tGhQ4dit+3UqRMzZ84s9HWn04nT6fQ8Tk9PL3U9QSUjA264AX76CerVs+dvio42XZWISB5hrjbLaBUS7EodnCIjI4mMjCzXIo4ePcoHH3xAQkJCibZPTk6mYcOG5VpD0MrJgcGD4Ztv7FNzX3wBZ59d/NeJiFSwUFebabQKCXZevapu+/btHDp0iO3bt5OdnU1KSgoALVu2pHqu8TNz587l5MmT3OIeX5PLnDlzCA0NpX379lSqVIlPP/2Ul156iaefftqbpQePRx6xr6KrXBnmz4cS9PiJiJjgDk46VScmeTU4Pfnkk8yZM8fzuH379gAsXbqUyy67zPP8rFmz+Mc//kHt2rUL3M+//vUvtm3bRkhICOeccw5vvvkmt956qzdLDw4vvXRqLFNiIlx5pdl6RESKoDFO4gsclmVZpovwth07dhATE0NqaiqNGzcu/guCwccfQ9++9rxNCQnw6KOmKxIRKVIfYAHwGjDccC3iWyry77xPTUcgFeS//7WnHbAs+5YqjzxiuiIRkWLpVJ34AgWnYGNZcOut9pV0vXvDyy+Dw2G6KhGRYmlwuPgCBadgs24dbN1qzwz+zjsQEmK6IhGREnGPgj1otAoJdgpOwebLL+22WzfNDC4ifqWBq91rtAoJdgpOwcYdnHr1MluHiEgpKTiJL1BwCiZHj8L339vrCk4i4mcUnMQXKDgFkzfegKwsaNECWrY0XY2ISKlEudo9RquQYKfgFCySkuDhh+31Bx7QlXQi4nfcd9DcDeSYLESCmoJTMNi3z57s8uRJux050nRFIiKl1hBwYE9HcMBwLRK8FJwCXXY23Hwz7NwJrVrBrFnqbRIRvxTGqXFOqSYLkaCm4BTonnwSvvkGqlWDefOgRg3TFYmIlFmMq91htAoJZgpOgezf/4bJk+31N96A2Fiz9YiInKFGrnan0SokmCk4Barnn4dRo+z1Rx6xT9eJiPg590AD/fESU/RvLxA98wyMHm2vP/ooJCSYrUdEpJwcd7VVjVYhwUzBKdA89ZTdwwQwfrx9qk6DwUUkQBxztdWMViHBrLLpAqScWJY9EPxf/7IfT5oE48aZrUlEpJypx0lMU3AKFLlD07PPwoMPmq1HRMQL3MEp3GgVEswUnAJBfPyp0PTCC3DffUbLERHxljBXm2m0CglmGuPk7xIS7LFMAM89p9AkIgHNPRPdEaNVSDBTcPJnU6eeGseUkHDqSjoRkQCl4CSm6VSdv9ixAzZsOPV44UKYNs1ej4+3px0QEQlwa1xtutEqJJgpOPmL//u/UxNa5vbEE/YiIhIE9rvav4xWIcFMwclf1KkDbdqcelypEgwaBGPGmKtJRKSCtQOqA70N1yHBS8HJX9x8s26bIiJBL9l0ARL0NDhcREREpIQUnERERERKSMFJREREpIQUnERERERKSMFJREREpIQUnERERERKSMFJREREpIS8Fpy2bt3KnXfeSfPmzQkPD+ess85i/PjxZGbmvaf19u3bue6666hWrRqRkZHce++9+bZZu3YtXbt2JTw8nEaNGhEfH49lWd4qXURERKRAXpsA8/fffycnJ4fXXnuNli1bsm7dOoYNG8axY8eYOnUqANnZ2VxzzTXUq1eP5cuXc/DgQQYPHoxlWbz88ssApKen0717d7p168aqVavYsGEDQ4YMoVq1aozRrNkiIiJSgRxWBXbdPPvss7z66qv873//A+CLL77g2muvJTU1lejoaADef/99hgwZwr59+6hZsyavvvoqY8eOZe/evTidTgCmTJnCyy+/zI4dO3A4HMV+3x07dhATE0NqaiqNGzf23gGKiIhIhavIv/MVesuVtLQ06tSp43mclJREmzZtPKEJoGfPnmRkZLBmzRq6detGUlISXbt29YQm9zZjx45l69atNG/ePN/3ycjIICMjI8/3Bdi9e7c3DktEREQMcv99T09Px7KsEnWqlFWFBafNmzfz8ssv89xzz3me27NnDw0aNMizXe3atQkLC2PPnj2ebZo1a5ZnG/fX7Nmzp8DglJCQwMSJE/M9f/HFF5/pYYiIiIiPat26NWlpadSsWdNr36PUwWnChAkFhpLcVq1aRceOHT2Pd+3aRa9evejbty9Dhw7Ns21BqfD0tHj6Nu6zi4UlyrFjxzJ69GjP40OHDtG8eXPWrVtHREREkbUHoyNHjhAbG8v69eupUaOG6XJ8kt6joun9KZren+LpPSqa3p+ipaWl0aZNG7Zu3er196fUwWnUqFEMGDCgyG1y9xDt2rWLbt26ERcXx+uvv55nu6ioKFasWJHnucOHD5OVleXpVYqKivL0Prnt27cPIF9vlZvT6cxzas8tJibGqynUX6WnpwPQqFEjvT+F0HtUNL0/RdP7Uzy9R0XT+1M093tSu3Ztr56mgzIEp8jISCIjI0u07c6dO+nWrRsdOnQgMTGRSpXyzn4QFxfHpEmT2L17Nw0bNgRg0aJFOJ1OOnTo4Nlm3LhxZGZmEhYW5tkmOjo63yk8EREREW/y2jxOu3bt4rLLLiMmJoapU6eyf/9+9uzZk6f3qEePHsTGxjJo0CCSk5P5+uuvefDBBxk2bJgnPQ4cOBCn08mQIUNYt24d8+fPZ/LkyYwePdrrqVJEREQkN68NDl+0aBGbNm1i06ZN+S4NdI9RCgkJYeHChdxzzz106dKF8PBwBg4c6JnnCSAiIoLFixczcuRIOnbsSO3atRk9enSeMUzFcTqdjB8/vsDTd6L3pyT0HhVN70/R9P4UT+9R0fT+FK0i358KncdJRERExJ/pXnUiIiIiJaTgJCIiIlJCCk4iIiIiJaTgJCIiIlJCAR2cmjVrhsPhyLeMHDnSdGk+4eTJkzz++OM0b96c8PBwWrRoQXx8PDk5OaZL8xlHjhzh/vvvp2nTpoSHh9O5c2dWrVpluixjvvvuO6677jqio6NxOBx88skneV63LIsJEyYQHR1NeHg4l112Gb/++quZYg0o7v2ZN28ePXv2JDIyEofDQUpKipE6TSnq/cnKyuKRRx7h/PPPp1q1akRHR3Pbbbexa9cucwUbUNy/oQkTJnDuuedSrVo1ateuzZVXXplvIulAVtz7k9uIESNwOBy88MIL5VpDQAenVatWsXv3bs+yePFiAPr27Wu4Mt/w9NNPM2PGDF555RV+++03nnnmGZ599llefvll06X5jKFDh7J48WLeeust1q5dS48ePbjyyivZuXOn6dKMOHbsGG3btuWVV14p8PVnnnmGadOm8corr7Bq1SqioqLo3r07R44cqeBKzSju/Tl27BhdunRhypQpFVyZbyjq/Tl+/Dg//fQTTzzxBD/99BPz5s1jw4YN9O7d20Cl5hT3b+icc87hlVdeYe3atSxfvpxmzZrRo0cP9u/fX8GVmlHc++P2ySefsGLFCqKjo8u/CCuI3HfffdZZZ51l5eTkmC7FJ1xzzTXWHXfckee5f/zjH9att95qqCLfcvz4cSskJMT67LPP8jzftm1b67HHHjNUle8ArPnz53se5+TkWFFRUdaUKVM8z504ccKKiIiwZsyYYaBCs05/f3LbsmWLBVjJyckVWpMvKer9cVu5cqUFWNu2bauYonxMSd6jtLQ0C7CWLFlSMUX5kMLenx07dliNGjWy1q1bZzVt2tR6/vnny/X7BnSPU26ZmZm8/fbb3HHHHZpx3OWSSy7h66+/ZsOGDQD8/PPPLF++nKuvvtpwZb7h5MmTZGdnU6VKlTzPh4eHs3z5ckNV+a4tW7awZ88eevTo4XnO6XTStWtXfvjhB4OVib9KS0vD4XBQq1Yt06X4pMzMTF5//XUiIiJo27at6XJ8Qk5ODoMGDeKhhx6idevWXvkeXps53Nd88skn/PnnnwwZMsR0KT7jkUceIS0tjXPPPZeQkBCys7OZNGkSN998s+nSfEKNGjWIi4vjqaee4rzzzqNBgwa89957rFixgrPPPtt0eT7HfTul02++3aBBA7Zt22aiJPFjJ06c4NFHH2XgwIG6qe1pPvvsMwYMGMDx48dp2LAhixcvLvE9ZAPd008/TeXKlbn33nu99j2Cpsdp1qxZXHXVVd453+mn5s6dy9tvv827777LTz/9xJw5c5g6dSpz5swxXZrPeOutt7Asi0aNGuF0OnnppZcYOHAgISEhpkvzWaf36FqWpV5eKZWsrCwGDBhATk4O06dPN12Oz+nWrRspKSn88MMP9OrVi379+rFv3z7TZRm3Zs0aXnzxRWbPnu3V3zlBEZy2bdvGkiVLGDp0qOlSfMpDDz3Eo48+yoABAzj//PMZNGgQDzzwAAkJCaZL8xlnnXUW3377LUePHiU1NZWVK1eSlZVF8+bNTZfmc6KiogDy3MgbYN++ffl6oUQKk5WVRb9+/diyZQuLFy9Wb1MBqlWrRsuWLenUqROzZs2icuXKzJo1y3RZxn3//ffs27ePJk2aULlyZSpXrsy2bdsYM2YMzZo1K7fvExTBKTExkfr163PNNdeYLsWnHD9+nEqV8v4TCAkJ0XQEBahWrRoNGzbk8OHDfPXVV/Tp08d0ST6nefPmREVFea5eBXsMxrfffkvnzp0NVib+wh2aNm7cyJIlS6hbt67pkvyCZVlkZGSYLsO4QYMG8csvv5CSkuJZoqOjeeihh/jqq6/K7fsE/BinnJwcEhMTGTx4MJUrB/zhlsp1113HpEmTaNKkCa1btyY5OZlp06Zxxx13mC7NZ3z11VdYlkWrVq3YtGkTDz30EK1ateL22283XZoRR48eZdOmTZ7HW7ZsISUlhTp16tCkSRPuv/9+Jk+ezNlnn83ZZ5/N5MmTqVq1KgMHDjRYdcUp7v05dOgQ27dv98xN9McffwB2b527xy6QFfX+REdHc9NNN/HTTz/x2WefkZ2d7em9rFOnDmFhYabKrlBFvUd169Zl0qRJ9O7dm4YNG3Lw4EGmT5/Ojh07gmaaneJ+xk4P26GhoURFRdGqVavyK6Jcr9HzQV999ZUFWH/88YfpUnxOenq6dd9991lNmjSxqlSpYrVo0cJ67LHHrIyMDNOl+Yy5c+daLVq0sMLCwqyoqChr5MiR1p9//mm6LGOWLl1qAfmWwYMHW5ZlT0kwfvx4KyoqynI6ndbf//53a+3atWaLrkDFvT+JiYkFvj5+/HijdVeUot4f9xQNBS1Lly41XXqFKeo9+uuvv6wbbrjBio6OtsLCwqyGDRtavXv3tlauXGm67ApT3M/Y6bwxHYHDsiyr/GKYiIiISOAKijFOIiIiIuVBwUlERESkhBScREREREpIwUlERESkhBScREREREpIwUlERESkhBScREREREpIwUlERESkhBScREREREpIwUlERESkhBScREREREpIwUlERESkhBScREREREpIwUlERESkhBScREREREpIwUlERESkhBScREREREpIwUlERESkhPwuOL366qtccMEF1KxZk5o1axIXF8cXX3zheX3evHn07NmTyMhIHA4HKSkpJdrvxx9/TGxsLE6nk9jYWObPn++lIyg7bxz77NmzcTgc+ZYTJ0548UhKr6hjz8rK4pFHHuH888+nWrVqREdHc9ttt7Fr165i9+vvn3tZj91fPnco/t/9hAkTOPfcc6lWrRq1a9fmyiuvZMWKFcXu198/eyjbsfvLZ1/csec2YsQIHA4HL7zwQrH79YfPHbxz/IHy2Q8ZMiTfMXTq1KnY/ZbXZ+93walx48ZMmTKF1atXs3r1ai6//HL69OnDr7/+CsCxY8fo0qULU6ZMKfE+k5KS6N+/P4MGDeLnn39m0KBB9OvXr0S/fCuSN44doGbNmuzevTvPUqVKFW8cQpkVdezHjx/np59+4oknnuCnn35i3rx5bNiwgd69exe5z0D43Mt67OAfnzsU/+/+nHPO4ZVXXmHt2rUsX76cZs2a0aNHD/bv31/oPgPhs4eyHTv4x2df3LG7ffLJJ6xYsYLo6Ohi9+kvnzt45/ghcD77Xr165TmGzz//vMh9lutnbwWA2rVrWzNnzszz3JYtWyzASk5OLvbr+/XrZ/Xq1SvPcz179rQGDBhQnmV6xZkee2JiohUREeGd4rysoGN3W7lypQVY27ZtK/TrA+1zdyvJsfvz525ZRR9/WlqaBVhLliwp9OsD9bMvybH782d/+rHv2LHDatSokbVu3TqradOm1vPPP1/k1/vz525ZZ378gfLZDx482OrTp0+pvr48P3u/63HKLTs7m/fff59jx44RFxdX5v0kJSXRo0ePPM/17NmTH3744UxL9JryOnaAo0eP0rRpUxo3bsy1115LcnJyOVXpHSU59rS0NBwOB7Vq1Sp0P4H6uZfk2MH/Pnco/vgzMzN5/fXXiYiIoG3btoXuJxA/+5IeO/jfZ1/Qsefk5DBo0CAeeughWrduXaL9+OPnDuV3/BAYnz3AsmXLqF+/Pueccw7Dhg1j3759Re6nXD/7UkctH/DLL79Y1apVs0JCQqyIiAhr4cKF+bYpTa9LaGio9c477+R57p133rHCwsLKq+RyU97HnpSUZL311ltWSkqK9d1331k33nijFR4ebm3YsMEL1Z+Zkhy7ZVnWX3/9ZXXo0MG65ZZbitxfoH3ullXyY/enz92yij/+Tz/91KpWrZrlcDis6Ohoa+XKlUXuL5A++9Ieuz999kUd++TJk63u3btbOTk5lmVZJepx8afP3bLK//gD5bN///33rc8++8xau3attWDBAqtt27ZW69atrRMnThS6v/L87P0yOGVkZFgbN260Vq1aZT366KNWZGSk9euvv+bZprTB6d13383z3Ntvv205nc7yLLtclPexny47O9tq27at9c9//rOcKi4/JTn2zMxMq0+fPlb79u2ttLS0IvcXaJ97aY79dL78uVtW8cd/9OhRa+PGjVZSUpJ1xx13WM2aNbP27t1b6P4C6bMv7bGfzpc/+8KOffXq1VaDBg2snTt3erYtaXDyl8/dssr/+E/nj599QXbt2mWFhoZaH3/8caH7K8/P3i+D0+muuOIKa/jw4XmeK014iImJsaZNm5bnuWnTpllNmjQpzzK94kyPvSBDhw7Ndy7YF51+7JmZmdb1119vXXDBBdaBAweK/fpA+txLe+wF8ZfP3bIK/nefW8uWLa3JkycX+nogffanK+7YC+Ivn7372J9//nnL4XBYISEhngWwKlWqZDVt2rTQr/fnz92yzvz4C+Jvn31hWrZsaU2ZMqXQ18vzs/frMU5ulmWRkZFR5q+Pi4tj8eLFeZ5btGgRnTt3PtPSvO5Mj72g/aWkpNCwYcNy26e35D72rKws+vXrx8aNG1myZAl169Yt9usD5XMvy7EXtD9/+dyh+H/3xb0eKJ99WV4vaHt/+ezdxzZo0CB++eUXUlJSPEt0dDQPPfQQX331VaFf78+fO5z58Re0P3/77Aty8OBBUlNTizyOcv3sSx21DBs7dqz13XffWVu2bLF++eUXa9y4cValSpWsRYsWWZZlWQcPHrSSk5OthQsXWoD1/vvvW8nJydbu3bs9+xg0aJD16KOPeh7/97//tUJCQqwpU6ZYv/32mzVlyhSrcuXK1o8//ljhx1cUbxz7hAkTrC+//NLavHmzlZycbN1+++1W5cqVrRUrVlT48RWlqGPPysqyevfubTVu3NhKSUmxdu/e7VkyMjI8+wjEz72sx+4vn7tlFX38R48etcaOHWslJSVZW7dutdasWWPdeeedltPptNatW+fZRyB+9mU9dn/57Iv7fXe6gk5V+evnblneOf5A+OyPHDlijRkzxvrhhx+sLVu2WEuXLrXi4uKsRo0aWenp6Z59ePOz97vgdMcdd1hNmza1wsLCrHr16llXXHFFnn9IiYmJFpBvGT9+vGebrl27WoMHD86z3w8//NBq1aqVFRoaap177rlFnis1xRvHfv/991tNmjTx7LNHjx7WDz/8UIFHVTJFHbv71GRBy9KlSz37CMTPvazH7i+fu2UVffx//fWXdcMNN1jR0dFWWFiY1bBhQ6t37975BkgH4mdf1mP3l8++uN93pysoOPjr525Z3jn+QPjsjx8/bvXo0cOqV6+eFRoaajVp0sQaPHiwtX379jz78OZn77Asyyp9P5WIiIhI8AmIMU4iIiIiFUHBSURERKSEFJxERERESkjBSURERKSEFJxERERESkjBSURERKSEFJxERERESshvgtP06dNp3rw5VapUoUOHDnz//fcl/tqMjAwmTJhQrrcm8RfBfOwQ3MevYw/OY4fgPn4de3AeO1Tc8fvFBJhz585l0KBBTJ8+nS5duvDaa68xc+ZM1q9fT5MmTYr9+vT0dCIiIkhLS6NmzZoVULHvCOZjh+A+fh17cB47BPfx69iD89ih4o7fL3qcpk2bxp133snQoUM577zzeOGFF4iJieHVV181XZqIiIgEEZ8PTpmZmaxZs4YePXrkeb5Hjx788MMPhqoSERGRYFTZdAHFOXDgANnZ2TRo0CDP8w0aNGDPnj0Ffk1GRkaec5yHDh0CIDU1lYiICO8V64OOHDkCwM6dO0lPTzdcTcUL5uPXsQfnsUNwH7+OPTiPPScnh82bNwPg7RFIPh+c3BwOR57HlmXle84tISGBiRMn5nu+TZs2XqnNH8TGxpouwahgPn4de/AK5uPXsQevzMxMr+7f54NTZGQkISEh+XqX9u3bl68Xym3s2LGMHj3a8zg1NZU2bdqwcuVKGjZs6NV6RUREpGLt3r2biy++mF9//ZXIyEivfi+fD05hYWF06NCBxYsXc8MNN3ieX7x4MX369Cnwa5xOJ06n0/PYfXquYcOGNG7c2LsFi4iIiBE1a9Ys9GxUefH54AQwevRoBg0aRMeOHYmLi+P1119n+/bt3HXXXaZLExERkSDiF8Gpf//+HDx4kPj4eHbv3k2bNm34/PPPadq0qenSREREJIj4RXACuOeee7jnnntMlyEiIiJBzOfncZLAtm/fPkaMGEGTJk1wOp1ERUXRs2dPkpKSPNs4HA4++eSTcvl+W7duxeFwkJKSUuR2y5Ytw+Fw8Oeff+Z7rV27dkyYMMGzTVHL7NmzAfj444+57LLLiIiIoHr16lxwwQXEx8d7psooiXnz5tG9e3fq1atHzZo1iYuL46uvvsq33ccff0xsbCxOp5PY2Fjmz5+f5/WEhAQuuugiatSoQf369bn++uv5448/PK9nZWXxyCOPcP7551OtWjWio6O57bbb2LVrV7E1Hj58mEGDBhEREUFERASDBg3K9x7ed999dOjQAafTSbt27Up8/N9++y0dOnSgSpUqtGjRghkzZuR5/Y033uDSSy+ldu3a1K5dmyuvvJKVK1cWu9+1a9fStWtXwsPDadSoEfHx8XkuZy7p+366ESNGcNZZZxEeHk69evXo06cPv//+u+f1ov79rFq1qsh9F/cZw5ndpkpECqfgJEbdeOON/Pzzz8yZM4cNGzawYMECLrvsslIFipIq70tUO3fuzO7duz1Lv3796NWrV57n+vfvz2OPPUb//v256KKL+OKLL1i3bh3PPfccP//8M2+99VaJv993331H9+7d+fzzz1mzZg3dunXjuuuuIzk52bNNUlIS/fv3Z9CgQfz8888MGjSIfv36sWLFCs823377LSNHjuTHH39k8eLFnDx5kh49enDs2DEAjh8/zk8//cQTTzzBTz/9xLx589iwYQO9e/cutsaBAweSkpLCl19+yZdffklKSgqDBg3Ks41lWdxxxx3079+/xMe+ZcsWrr76ai699FKSk5MZN24c9957Lx9//LFnm2XLlnHzzTezdOlSkpKSaNKkCT169GDnzp2F7jc9PZ3u3bsTHR3NqlWrePnll5k6dSrTpk3zbFOS970gHTp0IDExkd9++42vvvoKy7Lo0aMH2dnZQP5/P7t372bo0KE0a9aMjh07FrrfknzGc+fO5f777+exxx4jOTmZSy+9lKuuuort27cX+16LSDGsIJCammoBVmpqqulSJJfDhw9bgLVs2bJCt2natKkFeJamTZtalmVZmzZtsnr37m3Vr1/fqlatmtWxY0dr8eLF+b72qaeesgYPHmzVrFnTuu222/LsC7C6du1a4PddunSpBViHDx/O91rbtm2t8ePH53t+8ODBVp8+ffI8t2LFCguwXnjhhULfgzMRGxtrTZw40fO4X79+Vq9evfJs07NnT2vAgAGF7mPfvn0WYH377beFbrNy5UoLsLZt21boNuvXr7cA68cff/Q8l5SUZAHW77//nm/78ePHW23bti10f7k9/PDD1rnnnpvnuREjRlidOnUq9GtOnjxp1ahRw5ozZ06h20yfPt2KiIiwTpw44XkuISHBio6OtnJycgr9utPf95L4+eefLcDatGlTga9nZmZa9evXt+Lj44vcT0k+44svvti666678mxz7rnnWo8++mipahbxFxX5d149TmJM9erVqV69Op988kmhd7N2n7JITExk9+7dnsdHjx7l6quvZsmSJSQnJ9OzZ0+uu+66fP+jfvbZZ2nTpg1r1qzhiSee8Jy6WbJkCbt372bevHlePEJ45513qF69eqHj82rVqgWcOoW4bNmyEu87JyeHI0eOUKdOHc9zSUlJ+W5P1LNnzyJvT5SWlgaQZz8FbeNwODz1FiQpKYmIiAj+9re/eZ7r1KkTERERZ3x7pMKOa/Xq1WRlZRX4NcePHycrK6vI40pKSqJr1655pi/p2bMnu3btYuvWrQV+TUHvu/u0W2Ffc+zYMRITE2nevDkxMTEFbrNgwQIOHDjAkCFD8jzfrFkzJkyYkKfmoj5j3aZKxLsUnMSYypUrM3v2bObMmUOtWrXo0qUL48aN45dffvFsU69ePcAOGFFRUZ7Hbdu2ZcSIEZx//vmcffbZ/Otf/6JFixYsWLAgz/e4/PLLefDBB2nZsiUtW7b0fH3dunWJiooq8o9qedi4cSMtWrQgNDS0yO1CQ0Np1aoVVatWLfG+n3vuOY4dO0a/fv08z+3Zs6dUtyeyLIvRo0dzySWXFDqz/okTJ3j00UcZOHBgkXcc37NnD/Xr18/3fP369Qv9/iVV2HGdPHmSAwcOFPg1jz76KI0aNeLKK68s9X7drxWkoPe9atWqtGrVKt/nPH36dM9/EL788ksWL15MWFhYgfudNWsWPXv2zBeszjrrrDwT+hX3GZflNlUiUnIKTmLUjTfeyK5du1iwYAE9e/Zk2bJlXHjhhZ5B1YU5duwYDz/8MLGxsdSqVYvq1avz+++/5+txKmqsSEWwirg1UG6NGjXi999/5+KLLy7Rft977z0mTJjA3Llz84WV0tyeaNSoUfzyyy+89957Bb6elZXFgAEDyMnJYfr06Z7n77rrLk8gqF69eqHfu7jvX5Dc+809V1tBx1XY93zmmWd47733mDdvHlWqVCny+5Vmv4W97xdffDG///47jRo1yrP9LbfcQnJyMt9++y1nn302/fr148SJE/n2u2PHDr766ivuvPPOfK99/fXXjBo1qtiaT3+uNP8ORKTk/GY6AglcVapUoXv37nTv3p0nn3ySoUOHMn78+HynLHJ76KGH+Oqrr5g6dSotW7YkPDycm266Kd8A8GrVqpWpJnfPSlpaWr7TU3/++WeJbxZ9zjnnsHz5crKysortdSqpuXPncuedd/Lhhx/m602Jiooq8e2J/vnPf7JgwQK+++67AmfUz8rKol+/fmzZsoVvvvkmT29TfHw8Dz74YL7vvXfv3nz72b9/f6G3RypI7ise3d+zsOOqXLkydevWzfP81KlTmTx5MkuWLOGCCy4o8nsVtl8gX81Fve+FcV9dePbZZ9OpUydq167N/Pnzufnmm/Nsl5iYSN26dUs0AL+4z7gst6kSkZJTj5P4nNjYWM8VXmCfxnJfieT2/fffM2TIEG644QbOP/98oqKiCh1fkpv7NMnp+zvd2WefTaVKlfJdFr5792527txJq1atSnQsAwcO5OjRo3l6a3IraLqDorz33nsMGTKEd999l2uuuSbf63FxcSxevDjPc4sWLaJz586ex5ZlMWrUKObNm8c333xD8+bN8+3HHZo2btzIkiVL8oWT+vXre05/tmzZ0vO909LS8kwBsGLFCtLS0vJ8/+Lk3q+7V6ew4+rYsWOeQPrss8/y1FNP8eWXX5aotzEuLo7vvvsuT+BetGgR0dHRNGvWzPNcce97SVmWlW88n2VZJCYmctttt5UoXBf3Gee+TVVuixcvLtXnICKF8Prwcx+gq+p804EDB6xu3bpZb731lvXzzz9b//vf/6wPPvjAatCggXXHHXd4tjv77LOtu+++29q9e7d16NAhy7Is6/rrr7fatWtnJScnWykpKdZ1111n1ahRw7rvvvs8X9e0aVPr+eefz/M9s7KyrPDwcOtf//qXtWfPHuvPP/8stL67777batKkiTV//nzrf//7n7V8+XKra9eu1vnnn29lZWXl276gq+osy74iLCQkxHrooYesH374wdq6dau1ZMkS66abbvJcbbdjxw6rVatW1ooVKwqt591337UqV65s/fvf/7Z2797tWXIfw3//+18rJCTEmjJlivXbb79ZU6ZMsSpXrpznSre7777bioiIsJYtW5ZnP8ePH/e8R71797YaN25spaSk5NkmIyOj0Posy7J69eplXXDBBVZSUpKVlJRknX/++da1116bZ5uNGzdaycnJ1ogRI6xzzjnHSk5OtpKTk4vc9//+9z+ratWq1gMPPGCtX7/emjVrlhUaGmp99NFHnm2efvppKywszProo4/y1HzkyJFC9/vnn39aDRo0sG6++WZr7dq11rx586yaNWtaU6dOLdX7vmLFCqtVq1bWjh07LMuyrM2bN1uTJ0+2Vq9ebW3bts364YcfrD59+lh16tSx9u7dm6eGJUuWWIC1fv36Amu8/PLLrZdfftnzuCSf8fvvv2+FhoZas2bNstavX2/df//9VrVq1aytW7cW+l6I+LOK/Duv4CTGnDhxwnr00UetCy+80IqIiLCqVq1qtWrVynr88cc9f8Qty7IWLFhgtWzZ0qpcubJnOoItW7ZY3bp1s8LDw62YmBjrlVdesbp27VpscLIsy3rjjTesmJgYq1KlSoVOR+CuLz4+3jrvvPOs8PBwq2nTptaQIUOs3bt3F7h9YcHJsixr7ty51t///nerRo0aVrVq1awLLrjAio+P90xHsGXLFguwli5dWmg9Xbt2zTedAmANHjw4z3Yffvih1apVKys0NNQ699xzrY8//jjP6wXtA7ASExPz1FLQUlR9lmVZBw8etG655RarRo0aVo0aNaxbbrkl35QLhR3Hli1bitz3smXLrPbt21thYWFWs2bNrFdffTXP66dPXeFeCpo6IrdffvnFuvTSSy2n02lFRUVZEyZMyDMVQUned/f0Fe5j2Llzp3XVVVdZ9evXt0JDQ63GjRtbAwcOLHBahptvvtnq3LlzofU1bdo03zEU9xlblmX9+9//tpo2bWqFhYVZF154YZHTTYj4u4r8O++wrFxT5AaoHTt2EBMTQ2pqaoFjOURERMR/VeTfeY1xEhERESkhBScRERGRElJwEhERESkhBScRERGRElJwEhERESkhBScRERGRElJwEhERESkhBScRERGRElJwEhERESkhBScRERGRElJwEhERESkhBScRERGRElJwEhERESkhBScRERGRElJwEhERESkhBScRERGRElJwEhERESkhBScRERGRElJwEhERESkhBScRERGREjIWnLZu3cqdd95J8+bNCQ8P56yzzmL8+PFkZmbm2c7hcORbZsyYYahqERERCWaVTX3j33//nZycHF577TVatmzJunXrGDZsGMeOHWPq1Kl5tk1MTKRXr16exxERERVdroiIiIi54NSrV688YahFixb88ccfvPrqq/mCU61atYiKiqroEkVERETy8KkxTmlpadSpUyff86NGjSIyMpKLLrqIGTNmkJOTU+R+MjIySE9P9yxHjhzxVskiIiISRIz1OJ1u8+bNvPzyyzz33HN5nn/qqae44oorCA8P5+uvv2bMmDEcOHCAxx9/vNB9JSQkMHHiRG+XLCIiIkHGYVmWVZ47nDBhQrGhZdWqVXTs2NHzeNeuXXTt2pWuXbsyc+bMIr/2ueeeIz4+nrS0tEK3ycjIICMjw/N4586dxMbGkpqaSuPGjUt4JCJFawwcA5KBZiYLufJKWL0a3n8fcp3+FhEJFjt27CAmJqZC/s6Xe4/TqFGjGDBgQJHbNGvWzLO+a9cuunXrRlxcHK+//nqx++/UqRPp6ens3buXBg0aFLiN0+nE6XR6Hqenp5eseJFS+BM7OJXr/zzK4uhRSEuDXP9ZEBER7yj34BQZGUlkZGSJtt25cyfdunWjQ4cOJCYmUqlS8UOukpOTqVKlCrVq1TrDSkUCRGXXj3F2ttk6RESCgLExTrt27eKyyy6jSZMmTJ06lf3793tec19B9+mnn7Jnzx7i4uIIDw9n6dKlPPbYYwwfPjxPj5JIUHMHp5MnzdYhIhIEjAWnRYsWsWnTJjZt2pTvfKR72FVoaCjTp09n9OjR5OTk0KJFC+Lj4xk5cqSJkkXyMH6Kzk3BSUSkwhgLTkOGDGHIkCFFbnP6XE8iUoCQELvVqToREa/zqXmcRKQM1OMkIlJhFJxE/J2Ck4hIhVFwEvF37qtRi5lRX0REzpyCk4i/czjstnznshURkQIoOImcIeNxRcFJRKTCKDiJlJHDdAFuCk4iIhVGwUnkDBmPKwpOIiIVRsFJpIx8psfJPY+TBoeLiHidgpOIv9N0BCIiFUbBScTfKTiJiFQYBScRf+eex0m3XBER8ToFJ5Eycg/FNj7WyT0o3GG8EhGRgKfgJFJGPhOc3IPCFZxERLxOwUmkjHzm4n/1OImIVBgFJ5EzZDyuKDiJiFQYBSeRMlKPk4hI8FFwEikjd3DymR8iBScREa/zmd/5Iv7GPU+3z/wQKTiJiHidz/zOF/FXxuOK7lEnIlJhFJxE/J07OFXSj7OIiLfpN63IGTLe36N5nEREKoyCk0gZuWOK8eCkq+pERCqMgpNIGflMTHH3OOlUnYiI1+k3rcgZMt7jpFN1IiIVRsFJpIx8Jqa4g1NIiNk6RESCgIKTiL/LzrZbBScREa9TcBIpI+u01hgFJxGRCqPgJFJG7sBk/JSdxjaJiFQYBSeRMvKZ4OS+ms491klERLxGwUmkjBScRESCj4KTSBkpOImIBB+jwalZs2Y4HI48y6OPPppnm+3bt3PddddRrVo1IiMjuffee8nMzDRUscgpPhec3IPERUTEayqbLiA+Pp5hw4Z5HlevXt2znp2dzTXXXEO9evVYvnw5Bw8eZPDgwViWxcsvv2yiXBGPECDHtRgVGmq3WVlm6xARCQLGg1ONGjWIiooq8LVFixaxfv16UlNTiY6OBuC5555jyJAhTJo0iZo1a1ZkqSJ5hAFZgPH+z/Bwu/3rL7N1iIgEAeNjnJ5++mnq1q1Lu3btmDRpUp7TcElJSbRp08YTmgB69uxJRkYGa9asKXSfGRkZpKene5YjR4549RgkOIW5WgUnEZHgYbTH6b777uPCCy+kdu3arFy5krFjx7JlyxZmzpwJwJ49e2jQoEGer6lduzZhYWHs2bOn0P0mJCQwceJEr9YuUgM47FqMUnASEakw5d7jNGHChHwDvk9fVq9eDcADDzxA165dueCCCxg6dCgzZsxg1qxZHDx40LM/RwGT+1mWVeDzbmPHjiUtLc2zrF+/vrwPU4QWrnaz0SpQcBIRqUDl3uM0atQoBgwYUOQ2zZo1K/D5Tp06AbBp0ybq1q1LVFQUK1asyLPN4cOHycrKytcTlZvT6cTpdHoep6enl7B6kZJrCSzDB4JTlSp2q+AkIuJ15R6cIiMjiYyMLNPXJicnA9CwYUMA4uLimDRpErt37/Y8t2jRIpxOJx06dCifgkXKqKWr3WS0CtTjJCJSgYyNcUpKSuLHH3+kW7duREREsGrVKh544AF69+5NkyZNAOjRowexsbEMGjSIZ599lkOHDvHggw8ybNgwXVEnxp3lahWcRESCh7Hg5HQ6mTt3LhMnTiQjI4OmTZsybNgwHn74Yc82ISEhLFy4kHvuuYcuXboQHh7OwIEDmTp1qqmyRTyau9ptRqtAp+pERCqQseB04YUX8uOPPxa7XZMmTfjss88qoCKR0nGPstuPPYu4sRnEw1wTI2gCTBERrzM+j5OIv6rnak8CB0wWouAkIlJhFJxEysgJ1Hatnwc8CGwwUYj7VN2ePWBZRW8rIiJnRMFJ5Aw8BzQCDrrWWwHdgPeAjIoq4pJLoGpV2LABvv22or6riEhQUnASOQO3A1uBBcC12D9Qy4CB2IFqDLAeL98IuHZtuO02e/3FF735nUREgp7DsgK/b3/Hjh3ExMSQmppK48aNTZcjASwVeBOYCezI9XwIEAnUdy31ilmvSSkHm//2G8TGgsMB998PDz4Iue7xKCISyCry77yCk4gXZANfAq8DC12PSyOM4sNV7vVqAHfcAYmJrh2Ewe23w8MPQ4sWp+9eRCSgKDiVMwUnMSkT+6q7fdhTF+wrZv1oGb5HVaC+ZVEvLY3669dT//ffqbd/P/UPHKD+WWdR76qrqN+0qSdsOYvZn4iIP6nIv/PG5nESCRZhQLRrKYm/OBWkShK0TgDHga0OB1tr1YLOne2lCDUpWU9WfexTjPpFISJi0+9DER8TDjRxLcWxgGMUEa4OHmTfjh3sz8lhX/367Ktfn5OhoaQD6ZT8djF1KHnQqovByUBFRLxMwUnEjzmA6q6lwJFMdevay/r1MHYs1rvvkla9uh2ixo9n/y23FNmjdQD7isBDruX3EtTUALgs19IKBSkRCRwKTiLBoHlziI3FUbUqtdLSqJWWxjk7dxb7ZdnAYYo/XehePwTsBea6FoAoToWobsDZKEiJiP9ScBIJZNnZ8NZb8MQTsMM1QULbtvDMM9CjR7Ff7p5GIRKILcG3OwGswp7LainwA7AHeN+1ADTkVIi6DGiJgpSI+A8FJ5FAZFnw5ZfwyCOwdq39XEwMTJoEt9wClbwz920V4FLX8gR2kFqBHaSWAUnAbuyZ1d9zfU0j8p7aOwsFKRHxXQpOIoFmzRp7/qZvvrEf16oFjz0Go0aduq9dBakCdHUt47GD1I+c6pH6EdgJvONaABqT99RecxSkRMR3KDiJBJJ//9sOSGBPgvnPf8K4cVCnjtm6XKpwKhRNwJ56IYlTPVI/Ys+4/rZrAegEPAtcUoF1iogURsFJJFCsWGHfbgVgwABISIBmzUxWVKxw4HLXAvZ8VO4gtRRYiR2mLgX+AUzBHlwuImKKbvIrEggOH4b+/eHkSejbF9591+dDU0GqAlcATwHLgW3AcOxfVPOwB6jfiz1NgoiICQpOIoFg2DDYts2eduCNN+yb/QaAhsBrwC/A1cBJ4GXsAeQzDNYlIsFLwUnE36WkwMcfQ+XKMHcuRESYrqjctca+WfISoB32rOd3A49iz54uIlJRFJxE/F1iot3ecANcdJHZWrzsCmANMMn1+GngdiDLWEUiEmwUnET8WUYGvO26/uz2283WUkEqAeOAN7En6JwD3IA9sFxExNsUnET82aefwqFD0KhRiWYCDyS3A59gX5m3ELs36qDJgkQkKCg4ifizWbPs9rbbICTEbC0GXIs97qk2p6Yt2GO0IhEJdApOIv5q1iz7tioOR9CcpitIZ+B77Fu3/AbcCuQYrUhEApmCk4g/+u47uPtue338eDg7uKeFbI3d8xQOfA08Z7YcEQlgCk4i/mbLFrjxRsjKgn794MknTVfkE84FXnStjwNWG6xFRAKXgpOIv3nsMThwADp0sKciCJDJLsvDUOBG7IkyrwRmo3meRKR8KTiJ+Jv9++32/vuhalWjpfgaB/AG9o2B07CvvLsO2GWyKBEJKApOIv4mLMxuT540W4ePqo09WHwKEIY9VUFr4C3U+yQiZ07BScTfuINTRobZOnxYZeAR4CegI/AncBvQB9htriwRCQAKTiL+xh2cMjPN1uEHWgNJ2LdoCQU+dT33Nup9EpGyMRacli1bhsPhKHBZtWqVZ7uCXp8xQ/dFlyD15Zfw/ff2uk7VlUhl7Kvs1gAXAoeBQcAFwDvYA8lFRErKWHDq3Lkzu3fvzrMMHTqUZs2a0bFjxzzbJiYm5tlu8ODBhqoWMWTfPrjlFrjqKti9G2Ji4JprTFflV87Hnl38X0ANYB32ZJnnAK8CJ8yVJiJ+xFhwCgsLIyoqyrPUrVuXBQsWcMcdd+A47fLqWrVq5dk2PDzcUNUiFcyyYPZsOO88ePddqFTJvppu/Xo45xzT1fmdUOAxYBt2gIoEtgD3AM2BZ4B0Y9WJiD/wmTFOCxYs4MCBAwwZMiTfa6NGjSIyMpKLLrqIGTNmkJNT9A0VMjIySE9P9yxHjhzxUtUiXrRhA1xxhX07lUOHoG1b+PFHeP55qF7ddHV+rTanAtSLQAz2Pe4ewQ5QmjxTRArjM8Fp1qxZ9OzZk5iYmDzPP/XUU3z44YcsWbKEAQMGMGbMGCZPnlzkvhISEoiIiPAssbGx3ixdpHxlZEB8PJx/PixdClWqwNNPw6pVcNFFpqsLKFWBe4FNQCL2abtDwEDguMG6RMR3OSzLKteLSyZMmMDEiROL3GbVqlV5xjHt2LGDpk2b8sEHH3DjjTcW+bXPPfcc8fHxpKWlFbpNRkYGGbku1d65cyexsbGkpqbSuHHjEh6JiAHffQcjRsDvv9uPe/aE6dOhRQuzdQWJw0Ab7AkzRwEvmy1HREpox44dxMTEVMjf+crlvcNRo0YxYMCAIrdp1qxZnseJiYnUrVuX3r17F7v/Tp06kZ6ezt69e2nQoEGB2zidTpxOp+dxerpGLYiPO3QIHn4YZs2yHzdoAC+8AP3765YqFag2ds9TT+AVoDfQ3WhFIuJryj04RUZGEhkZWeLtLcsiMTGR2267jdDQ0GK3T05OpkqVKtSqVesMqhTxEZYF77wDo0efupXKiBGQkAC1a5utLUj1wB4sPh37li1rsQOViAh4ITiV1jfffMOWLVu4884787326aefsmfPHuLi4ggPD2fp0qU89thjDB8+PE+PkojfuvNO+0a9AK1bw2uvQZcuZmsSngEWAxuBu4H3sO+DJyJiPDjNmjWLzp07c9555+V7LTQ0lOnTpzN69GhycnJo0aIF8fHxjBw50kClIl7w9dd2O3q03cvknhVcjKoG/Ae4BJjrakcZrUhEfIXx4PTuu+8W+lqvXr3o1atXBVYjUsEaNYLt26FzZ4UmH9MJeBYYDTyAPet4Z6MViYgv8JnpCESCkvvqjx07zNYhBbof6I99W5a+2HM9iUhwU3ASMckdnFJTzdYhBXIAM4FY7CkK+gNZRisSEdMUnERMck/4qh4nn1UdmId9f7vvsK+4yzZakYiYpOAkYlJIiN1mqR/Dl7UC5nCqB+pGNLO4SLBScBIxadMmu23Z0mwdUqwbgA8AJ/B/wOXAfqMViYgJCk4iJik4+ZWbgCVAHWAFEAdsNVmQiFQ4BScRk9z3pFNw8huXAD8AzYHN2FfeiUjwUHASMeXgQdiyxV5v185oKVI6rYCFrvUF2DOMi0hwUHASMWXNGrtt2VL3pfND5wHXABbwouFaRKTiKDiJmLJ6td127Gi2Dimz0a42EThkshARqTAKTiKmKDj5vW5AO+ypCV4xW4qIVBAFJxETliyBzz6z1zt1MluLlJkDGONanwA8jn17FhEJXApOIhVt1Sq4/np70st+/ewb/IrfGog9m7gFTAKuwL49i4gEJgUnkYr0xx9w9dVw7BhccQX85z/gcJiuSs5AJeDfwHvYt2f5Dvv03edAjrmyRMRLFJxEKtKIEXDgAISHw2uvgdNpuiIpJwOAn4C22DOKXwPUdbUJ2IHqL2PViUh5UXASqUhxcXb711/Qvj1MngzHddezQHE2kASMAqoCf2L3PI0DugIR2LONPwjMB/YZqVJEzoSCk0hFSkiAb7+1r6Q7cgQeewxatbJP2eXoxE4gCAdexg5Nq4DnsW/V0hDIAn4EngP+ATQAzgFuB2YBv2OPlRIR36XgJFLR/v53WLEC3nkHmjSBHTtg8GA7TH3zjenqpJyEAh2xb8nyIbAT+xYt/wFGAK1d220EZgNDsSfVrAf0AZ4B/gtkVGDNIlI8BScREypVgoED7cHiTz8NNWtCcrI9YPzaa2H9etMVSjlzAC2AQcAMYB32pJkLgbHA34EqwEHs27g8gn1fvAhX+wjwKXCkogsXkTwUnERMqlIFHn4YNm+Gf/4TKleGhQvhootgn0bABLrawNXAZOBbIA17jNRU4Abs3qcM7J6nZ4DeQFPXugaai5ih4CTiCyIj4aWXYMEC+3FmJoSGmq1JKlwY0Al7Us15wF5gA/YtXe4EmgOHsXufWgJvoAk3RSqagpOIL1mxwm579NCNfwUH9pV6Q4CZnBoP1QR7ks3h2GOlPkKDykUqioKTiK84cQLefdde79/fbC3ik0KAwdi9UC8Aka71vkBn4ICxykSCh4KTiC/IzISbboKNG+2B4n36mK5IfJgTuA/7Kr3x2DOW/4g9xYGuwhPxLgUnEdOysuwepoUL7cHin3wCERGmqxI/UBP75sI/AjWA77GnOtBpOxHvUXASMenkSbj1VjssOZ3wf/8H3bqZrkr8TGvgA+xf6HOwr7oTEe9QcBIxJTsbhgyBDz6wr6CbN88eFC5SBr2AF13rj2JflSci5U/BScSUe+6xZw+vXBk+/BCuvtp0ReLnRgEjXeu3AosN1iISqBScREx47z14/XV7BvH33tNgcCk3LwA9sSfI7Ik9eDzbZEEiAUbBSaSibd8Od99trz/xhH01nUg5qQzMB4ZhDxKPB3oAe0wWJRJAvBqcJk2aROfOnalatSq1atUqcJvt27dz3XXXUa1aNSIjI7n33nvJzMzMs83atWvp2rUr4eHhNGrUiPj4eCxL142IH8rOhttug7Q0+Nvf4PHHTVckASgceB14G6gGfAO0c7Uicma8GpwyMzPp27cvd7v/d32a7OxsrrnmGo4dO8by5ct5//33+fjjjxkzZoxnm/T0dLp37050dDSrVq3i5ZdfZurUqUybNs2bpYt4x7Rp8O23UK0avP22Pb5JxEtuAVYDbbBv33IlMBGduhM5I1YFSExMtCIiIvI9//nnn1uVKlWydu7c6Xnuvffes5xOp5WWlmZZlmVNnz7dioiIsE6cOOHZJiEhwYqOjrZycnJK9P1TU1MtwEpNTT2zAxE5Ez//bFmhoZYFljVzpulqJIgcsyzrTsuycC09XM+JBIqK/DtvdIxTUlISbdq0ITo62vNcz549ycjIYM2aNZ5tunbtitPpzLPNrl272Lp1a0WXLFJ2Y8bYk1326QN33GG6GgkiVbHvdTfHtb4IGIBuECxSFkaD0549e2jQoEGe52rXrk1YWBh79uwpdBv3Y/c2p8vIyCA9Pd2zHDlyxAvVi5TCkiX2EhoKzz8PDofpiiQI3QZ8BVQBPkWzjIuURamD04QJE3A4HEUuq1evLvH+HAX8AbEsK8/zp29juQaGF/S1AAkJCURERHiW2NjYEtcjUu4sCx591F6/+25o3txsPRLULgHex/7l/ybwhNlyRPxOqUemjho1igEDBhS5TbNmzUq0r6ioKFasWJHnucOHD5OVleXpVYqKisrXs7Rv3z6AfD1RbmPHjmX06NGexzt37lR4EnOmTIE1a6B6dXjsMdPViNAHeA17yoJJwPlAf6MVifiPUgenyMhIIiMjy+Wbx8XFMWnSJHbv3k3Dhg0BWLRoEU6nkw4dOni2GTduHJmZmYSFhXm2iY6OLjSgOZ3OPGOi0tPTy6VekVL79NNTYWnqVKhf32w9Ii5Dgf8BCa719sA5RisS8Q9eHeO0fft2UlJS2L59O9nZ2aSkpJCSksLRo0cB6NGjB7GxsQwaNIjk5GS+/vprHnzwQYYNG0bNmjUBGDhwIE6nkyFDhrBu3Trmz5/P5MmTGT16dKGn6kR8wvr1cMst9qm6u+6CESNMVySSRzzQFTgK3AQcN1uOiF/w6iQyTz75JHPmzPE8bt++PQBLly7lsssuIyQkhIULF3LPPffQpUsXwsPDGThwIFOnTvV8TUREBIsXL2bkyJF07NiR2rVrM3r06Dyn4kR8zqFD0Ls3HDkCf/87vPhi8V8jUsEqA+9h9zatBf4JzDJakYjvc1hW4E/BvWPHDmJiYkhNTaVx48amy5FAl5Vl37B3yRJo2hRWrYJ69UxXJVKopdiTY+YAicAQo9WIlF5F/p3XvepEytOhQ3DVVXZoqloV/u//FJrE53XDnlEc7F6nfQZrEfF1Ck4i5eWPP6BTJ/j6a/uWKh99BG3bmq5KpETGARdhj3eKN1yLiC9TcBIpD4sX2zft3bgRmjSBH36we55E/EQl4BnX+mvABoO1iPgyBSeRM2FZ8MordkhKS4POnWHlSrjgAtOViZTaZcA12LdiGWe2FBGfpeAkUlYnT8LIkfDPf0J2Ntx2G3zzDRQyMauIP5iC/YfhYyDJcC0ivkjBSaQssrJg4EB49VX7vnNPPw2zZ0OuiVdF/FEb4HbX+r3oRsAip1NwEiktd2j68EP7pr0ffwwPP6wb90rA+BdQC1gNaAYykbwUnERKIysLbr7ZvmIuLAzmzYMbbjBdlUi5igLc0xA/AWw2WIuIr1FwEimpEyegb1+7hyksDObPh2uvNV2ViFfcgT2/01/AKMO1iPgSBSeRkjh6FK65xp7Q0um0Q9PVV5uuSsRrHMDr2Ldl+RL4r9lyRHyGgpNIcQ4dgiuvtK+Yq14dvvhCoUmCQktO3X5lYhHbiQQTBSeRouzeDV27wooVUKeOHZ66dTNdlUiFGYfd67QY+MFwLSK+QMFJpDBbt8Kll8K6ddCwIXz3HVx0kemqRCpUc9TrJJKbgpNIQQ4dgr//HTZvhhYtYPlyaN3adFUiRrh7nRYBKw3XImKagpNIQR5+GFJToWVL+P57OzyJBKnmQH/X+n9MFiLiAxScRE737bcwa5a9npgI0dFm6xHxAbe42g/RbOIS3BScRHI7cQJGjLDXR4yASy4xW4+Ij7gSqAPsA741XIuISQpOIrklJMAff0BUFEyZYroaEZ8RCtzoWn/fZCEihik4ibgtX24HJ4CXXoJatYyWI+JrBrjaj4E/DdYhYpKCkwjYoalXL/tedDfcADfdZLoiEZ/TFTgbOAwMByyz5YgYoeAk4g5Nx47ZM4S/8w44HKarEvE5IcDb2FMTfAi8abYcESMUnCS4JSfnDU0LFkB4uOmqRHzWxcAk1/o/gQ0GaxExQcFJgltioh2aLrlEoUmkhB4EugF/AbMM1yJS0RScJLiFhdltp04KTSIlVAkY6FpfbbIQEQMUnCS4RUTYbVqa2TpE/EwHV/sTGiQuwUXBSYKbgpNImbQGwrCnJfif2VJEKpSCkwQ3d3D680+jZYj4mzDgAtf6GpOFiFQwBScJbiEhdpuZabYOET90oatNMVmESAVTcJLgtmmT3Z51ltk6RPxQG1e73mgVIhVLwUmC2x9/2G2rVmbrEPFDsa5WwUmCiYKTBDcFJ5Eya+1qNwMnTBYiUoG8GpwmTZpE586dqVq1KrUKuGHqzz//zM0330xMTAzh4eGcd955vPjii3m22bp1Kw6HI9/y5ZdferN0CQaWBRtc8x4rOImUWgOgNpAD/GG4FpGKUtmbO8/MzKRv377ExcUxa1b++WXXrFlDvXr1ePvtt4mJieGHH35g+PDhhISEMGrUqDzbLlmyhNatW3se16lTx5ulSzDYvdueNbxSJWjRwnQ1In7HAZwLJAEbgbZmyxGpEF4NThMnTgRg9uzZBb5+xx135HncokULkpKSmDdvXr7gVLduXaKiorxSpwSp7dvttnFjCA01W4uIn2rgavcbrUKk4vjcGKe0tLQCe5N69+5N/fr16dKlCx999JGByiTguINTkyZm6xDxY5Gu9oDRKkQqjld7nEorKSmJDz74gIULF3qeq169OtOmTaNLly5UqlSJBQsW0L9/f+bMmcOtt95a4H4yMjLIyMjwPD5y5IjXaxc/9OuvdqvgJFJm9VztHqNViFScUvc4TZgwocDB2rmX1atLf9vHX3/9lT59+vDkk0/SvXt3z/ORkZE88MADXHzxxXTs2JH4+HjuuecennnmmUL3lZCQQEREhGeJjY0tdFsJUpmZMHOmvd6jh9laRPyY+7KKtUarEKk4pe5xGjVqFAMGDChym2bNmpVqn+vXr+fyyy9n2LBhPP7448Vu36lTJ2a6/+gVYOzYsYwePdrzeOfOnQpPkteHH8KuXRAVBcX8exaRwrlv9puMfXWdz43/EClnpQ5OkZGRREZGFr9hCf36669cfvnlDB48mEmTJpXoa5KTk2nYsGGhrzudTpxOp+dxenr6GdcpAcSyYNo0e33UKMj1b0VESudcIBw4CmxwPRYJZF4d47R9+3YOHTrE9u3byc7OJiUlBYCWLVtSvXp1fv31V7p160aPHj0YPXo0e/bYZ8lDQkKoV88+cz5nzhxCQ0Np3749lSpV4tNPP+Wll17i6aef9mbpEsi+/x5++gmqVIERI0xXI+LXKgPtsKckWIOCkwQ+rwanJ598kjlz5nget2/fHoClS5dy2WWX8eGHH7J//37eeecd3nnnHc92TZs2ZevWrZ7H//rXv9i2bRshISGcc845vPnmm4UODBcpVkKC3Q4eDOXYeyoSrDpgB6fVwC2GaxHxNodlWZbpIrxtx44dxMTEkJqaSuPGjU2XIyYtWQLdu0PlyvDbb9CypemKRPzeu9iBqSOwynAtEpwq8u+8xvFJ8MjOhgcftNfvuUehSaSc/N3V/gRoRKkEOgUnCR5vvw0//wwREfDEE6arEQkYjYEW2FfV/WC4FhFvU3CS4HD8OLinuhg3TmObRMqZu9fpO6NViHifgpMEvuRk6NYNduywZwm/917TFYkEHHdw+gTIMliHiLcpOEngOnIEHngAOnaElSuhRg144w17GgIRKVe9gbrAb8AUw7WIeJOCkwQey4KPPoLzzoMXXoCcHOjfH37/XbdXEfGSusBLrvWn0C1YJHApOElg+d//4JproG9f2LkTzjoLvvoK3n8foqNNVycS0G7G7nnKAm4HTpotR8QrFJwkMGRmwqRJ0Lo1fPEFhIXBk0/C2rXqZRKpIA5gBlALexbxZ41WI+IdCk4SGO67z75q7sQJuOIKOzBNnAjh4aYrEwkqDYEXXesTgP3mShHxCgUn8X+//Qavv26vv/kmLF4M55xjtiaRIDYIaA1kAsvMliJS7hScxP+NG2cPAL/+erj9dnA4TFckEtQcwBWu9WUG6xDxBgUn8W9ffgmffAKVKsHkyaarERGXy1ztUpNFiHiBgpP4r4UL7V4mgKFD7ekHRMQndAVCsed1+slwLSLlScFJ/NPHH8MNN0BGBvTpAy+9VPzXiEiFqQPc5Fp/1WQhIuVMwUn8zzvv2BNaZmXZ7YcfgtNpuioROc3drvZd4E+DdYiUJwUn8S9vvAGDBkF2NgwZYoeo0FDTVYlIAS7BvrruOPAfw7WIlBcFJ/Ef8+fD8OH2LVXuuQdmzYKQENNViUghHMA9rvVXActgLSLlRcFJ/Mdnn9ntzTfDK6/YV9KJiE+7FQgBfgd2Gq5FpDzoL4/4jzp17LZhQ83VJOInagLu611TDNYhUl4UnMR/NGhgt3v3mq1DREqlvatNNlqFSPlQcBL/Ub++3e7bZ7YOESmVdq42xWANIuVFwUn8h3tMk4KTiF9p52rXoAHi4v8UnMT3ZWfD00/DHXfYj2vVMlqOiJROB6AKsA14z3AtImdKwUl825YtcNll8Oij9oSX119vT3gpIn4jAnjctf4AmgxT/JuCk/gmy4LZs6FtW1i+HKpXhzffhHnzoF4909WJSCk9CLQC9gGPGa5F5EwoOInv2b8fbrwRbr8djhyBLl3gl1/sx5qGQMQvOTl1z7pXgZUGaxE5EwpO4ls2boQLLrBnCQ8NhYQE+PZbaN7cdGUicoa6AYOwB4jfBWSbLUekTBScxLckJMCePXDuubBihT22SbdVEQkYU4Fa2HM6vW22FJEyUXAS33H4MLz/vr3+5pvQvn3R24uI36kPjHWtPwGcMFiLSFkoOInv+M9/4K+/7FN1nTqZrkZEvOSfQGMgFXjZcC0ipaXgJL5h2TJ43HXB8l13aRC4SAALB55yrb9kshCRMvBqcJo0aRKdO3ematWq1Cpk0kKHw5FvmTFjRp5t1q5dS9euXQkPD6dRo0bEx8djWZp/NmAsXAhXXQVHj8IVV5ya6FJEAtaNgAPYgT1FgYi/qOzNnWdmZtK3b1/i4uKYNWtWodslJibSq1cvz+OIiAjPenp6Ot27d6dbt26sWrWKDRs2MGTIEKpVq8aYMWO8Wb5UhLlz4dZb4eRJ6NPHHuPkdJquSkS8rAbQEtiIPVC8p9lyRErMq8Fp4sSJAMyePbvI7WrVqkVUVFSBr73zzjucOHGC2bNn43Q6adOmDRs2bGDatGmMHj0ah07p+K9Zs2DYMHuyy4ED7QkvQ0NNVyUiFaQ9Ck7if3xijNOoUaOIjIzkoosuYsaMGeTk5HheS0pKomvXrjhz9UL07NmTXbt2sXXrVgPVSrl46SUYOtQOTcOH2wPDFZpEgor7utlko1WIlI5Xe5xK4qmnnuKKK64gPDycr7/+mjFjxnDgwAEedw0U3rNnD82aNcvzNQ0aNPC81ryAiREzMjLIyMjwPD5y5Ij3DkBK7+hRuP9+e/3BB+GZZzQYXCQIuYNTiskiREqp1D1OEyZMKHBAd+5l9erVJd7f448/TlxcHO3atWPMmDHEx8fz7LPP5tnm9NNx7oHhhZ2mS0hIICIiwrPExsaW8ijFq6pWPTWOSVfQiQSt813tJjSfk/iPUvc4jRo1igEDBhS5zek9RKXRqVMn0tPT2bt3Lw0aNCAqKoo9e/bk2WbfPvsaDHfP0+nGjh3L6NGjPY937typ8ORLKlWCs86CX3+FTZvsdREJOg2B2sBh4A+grdlyREqk1MEpMjKSyMhIb9QCQHJyMlWqVPFMXxAXF8e4cePIzMwkLCwMgEWLFhEdHV1oQHM6nXnGRKWnp3utXimjli1PBaeeGhYqEowcQGtgOfArCk7iH7w6OHz79u2kpKSwfft2srOzSUlJISUlhaNHjwLw6aef8sYbb7Bu3To2b97MzJkzeeyxxxg+fLgn+AwcOBCn08mQIUNYt24d8+fPZ/Lkybqizt+dfbbdbtpktg4RMaq1q11ntAqRkvPq4PAnn3ySOXPmeB63d917bOnSpVx22WWEhoYyffp0Ro8eTU5ODi1atCA+Pp6RI0d6viYiIoLFixczcuRIOnbsSO3atRk9enSeU3Hih9zBaf16s3WIiFHucU5LgEnYvVAivsxhBcEU3Dt27CAmJobU1FQaN25suhwBSE6GCy+EmjXh0CEICTFdkYgYsAdoAfwFLACuM1uO+KmK/DvvE/M4SRC64AI7NKWnwy+/mK5GRAyJAu5zrT8G5BSxrYgvUHASM0JCoHNne/37783WIiJGPQREAGuB9w3XIlIcBScx59JL7VbBSSSo1cEOTwBPAlkGaxEpjoKTmOPucSrFhKkiEpjuA+oBm4FvDNciUhQFJzHHPSC8svE7/4iIYdU5NTXBnwbrECmOgpOYk5ZmtxERZusQEZ8Q5mozjVYhUjQFJzFHwUlEclFwEn+g4CTmKDiJSC4KTuIPFJzEnD//tFsFJxEB3HcYPWa0CpGiKTiJOampdqvZ3EUEOMfV6r514ssUnMScbdvstmlTs3WIiE/o4GrXGK1CpGgKTmLGf/8Lq1bZ6wpOIgJc6GrXA2kmCxEpgoKTVKzDh2HECLjkEjhwAJo0gU6dTFclIj4gGnsupxzgRcO1iBRGwUkqhmXBu+/CuefC66/bz915J/z0E9SoYbY2EfEJDuxbrgA8BxwyWItIYRScxPs2b4aePeGWW2DfPjs8ffstzJwJdeuark5EfMhNwAVAOnZ4EvE1Ck7iPZmZMHkytGkDixeD0wlPPQUpKfD3v5uuTkR8UCUg3rX+IrDPYC0iBdFNwsR7+vSBL7+016+8EqZPh7PPNluTiPi83kBHYDXwAjDZaDUieanHSbzn22/tdsYMWLRIoUlESsQB3Ola15xO4msUnMQ7srLgr7/s9ZtuAofDbD0i4ldqudqjJosQKYCCk3hHWq5ZWHRLFREppequVsFJfI2Ck3iHOzhVqwaVNZROREpHwUl8lYKTeMeBA3ar3iYRKQN3cDpitAqR/BScxDumT7fbdu2MliEi/qmJq90B7DdZiMhpFJyk/K1dC2+9Za9PmGC0FBHxT/WxJ8IEWGKyEJHTKDhJ+Rs71r7FSt++cNFFpqsRET/Vw9UuNlqFSF4KTlK+vvsOFi6EkBD4179MVyMifqy7q10MWCYLEclFwUnKh2XZs4Tf6Zq2btgwOOccszWJiF+7FHBij3PaYLgWETcFJzlzq1bBFVfAVVfBpk3QoAE8+WTxXyciUgQHp/5InTRZiEguCk5Sdhs3Qr9+cPHFsHQphIXBmDHw66/QsKHp6kTEzy0H/gIaArGGaxFx08yEUnp79kB8PLzxBpw8ad9O5bbbYOJEaNrUdHUiEiAWudoe2L1PIr5AwUlKLj0dpk6F556D48ft5665BhIS4PzzzdYmIgHnK1fb02gVInl59VTdpEmT6Ny5M1WrVqVWrVr5Xp89ezYOh6PAZd++fQBs3bq1wNe//PJLb5Yup9u6Fc49F556yg5Nf/sbLFsGn32m0CQi5W4v8At2T9OVhmsRyc2rPU6ZmZn07duXuLg4Zs2ale/1/v3706tXrzzPDRkyhBMnTlC/fv08zy9ZsoTWrVt7HtepU8c7RUt+lgV33QW7d0OLFvDss3DDDfYpOhERL3Dfoy4M0G978SVeDU4TJ04E7J6lgoSHhxMeHu55vH//fr755psCQ1bdunWJiorySp1SjPfeg6++AqcTPv8cWrUyXZGIBLhmQBXgBLAFaGm0GpFTfOqquv/85z9UrVqVm266Kd9rvXv3pn79+nTp0oWPPvqoyP1kZGSQnp7uWY4c0W0iy+zQIbj/fnv98ccVmkSkQoQA57nW15ksROQ0PhWc3nzzTQYOHJinF6p69epMmzaNjz76iM8//5wrrriC/v378/bbbxe6n4SEBCIiIjxLbKwuZC2zuXNh/3447zx4+GHT1YhIEHEPzlhvtAqRvEodnCZMmFDogG73snr16lIXkpSUxPr167nTPfO0S2RkJA888AAXX3wxHTt2JD4+nnvuuYdnnnmm0H2NHTuWtLQ0z7J+vX7syuzHH+22b197niYRkQrivvfARqNViORV6jFOo0aNYsCAAUVu06xZs1IXMnPmTNq1a0eHDh2K3bZTp07MnDmz0NedTidOp9PzOD09vdT1iIs7OHXqZLYOEQk6Z7taBSfxJaUOTpGRkURGRpZrEUePHuWDDz4gISGhRNv/f3v3HR5Fubdx/LskZAkBQgkQQgtIkyqCSuB4AKWpB7AiokhEsIEN5Ag2itIUscBBLAi8VizowXKkiSASqYmCqIACCZAAgiQUSULyvH9MdiWkh2xmd3N/rmuumZ2dnb1nJiQ/npl5JjY2ljrqmdrzjh6FHVlPiLr0UnuziEiZo8JJvJFH76qLj4/n6NGjxMfHk5GRQVxcHABNmjShUqVK7uUWLVrEmTNnuPXWW3OsY+HChZQvX5727dtTrlw5PvvsM15++WWmT5/uyegCsGGDNW7aFGrUsDeLiJQ5rsLpEJACVLExi4iLRwunp556ioULF7pft2/fHoBVq1bRrVs39/x58+Zx/fXXU61atVzX88wzz7B3714CAgJo1qwZb775JrfddpsnowvA779b4ya6EVhESl8VoC6wH1gMRNuaRsTiMMYYu0N42r59+6hfvz4JCQnUq1fP7ji+45tvoHt3qFcPEhLsTiMiZdAMYAwQAewAQuyNI16qNP/Oe1V3BOJlOnaEcuVg3z44cMDuNCJSBt0PNAIOAM/bnEUEVDhJfipVAtdjbtavtzeLiJRJTmBa1vR0rAJKxE4qnCR/l11mjVU4iYhNbgKigFPAkzZnEVHhJHk7cwZ++82aPnLE3iwiUmY5+LvV6T07g4igwknyM2oUrFoFISFw//12pxGRMszVNUGarSlEVDhJXl59FWbNsqbffhvatrU3j4gI4Pe3gYvXU+EkOX3zDYwcaU1PngzXXmtnGhERHFljFU5iNxVOkt3vv8MNN1jXN91yC4wbZ3ciERF34SRiNxVO8jdjYOhQ6xl1l1wC8+aBQ7+uRMR+amkSb6HCSf62YAGsXg3BwbBokTUWEfEC6VnjIFtTiKhwEpfDh+GRR6zpiROhUSN784iInCU1a6zCSeymwkkso0ZZp+jatYOHHrI7jYhINq5uCJy2phBR4SQAn35qdTngcMBrr0H58nYnEhHJRi1O4i1UOJVliYkweDBcd531esQIuPRSezOJiORChZN4CxVOZVF6OrzwAjRv/ndL0/DhMH263clERHJ1ImtcydYUIhBodwApZatXWy1LP/1kvb7kEvjPf6yxiIiXchVOlW1NIaIWp7LjwAEYNAi6dbOKpho14PXX4fvvVTSJiNdTi5N4CxVOZcHs2dZpuffes07L3Xsv7NgBw4ZBOf0IiIj3U+Ek3kKn6vzdBx/A/fdb0506WaflLr7Y3kwiIkV0Mmtc0dYUImpx8m/x8XD33db06NHw3XcqmkTEJ2VkjfW/fbGbCid/lZFhdTVw7BhcdhlMnarTciLiszKzxgG2phBR4eS/nn0W1qyBSpXgnXfUqaWI+DRX4aQ/WmI3/Qz6o40b4amnrOlZs+CCC+zNIyJynlQ4ibfQz6A/GjMGzpyBm26CIUPsTiMict4cWeMztqYQUeHkf7Ztszq5DAiAmTOt7gdERHxcnazxAVtTiOgGBf+xZw+kpMDLL1uv+/eHevVsjSQiUlIaZI2/sjWFiAon/zF6NCxe/PfrESPsyyIiUsIanDX9KnC3XUGkzNOpOn9x6tTf082bQ/fu9mURESlhZ7efJ9iWQkSFk//47DNwOq3pu+7StU0i4lfO7jG8t20pRHSqzn8EBsJHH0FcHIwcaXcaEZEStxLYBvzD7iBSpqlw8if/+pc1iIj4oSuyBhE7eexU3Z49e7jzzjtp1KgRwcHBXHDBBYwfP560tLRsy8XHx9O3b19CQkIICwvjgQceyLHM1q1b6dq1K8HBwdStW5dJkyZhjPFUdBEREZFceazF6ZdffiEzM5NXX32VJk2asG3bNoYPH87JkyeZMWMGABkZGVxzzTXUrFmTtWvXcuTIEYYMGYIxhlmzZgGQkpJCz5496d69Oxs3bmTHjh1ER0cTEhLC6NGjPRVfREREJAeHKcWmm+eee45XXnmF33//HYD//e9//Otf/yIhIYGIiAgA3n//faKjozl06BBVqlThlVdeYdy4cRw8eBBn1sXP06ZNY9asWezbtw9HIS6C3rdvH/Xr1ychIYF66ttIRETEr5Tm3/lSvcYpOTmZ6tWru1/HxMTQunVrd9EE0Lt3b1JTU9m8eTPdu3cnJiaGrl27uosm1zLjxo1jz549NGrUKMf3pKamkpqamu17ARITEz2xWSIiImIj19/3lJQUjDGFalQprlIrnH777TdmzZrF888/756XlJRE7dq1sy1XrVo1goKCSEpKci8TGRmZbRnXZ5KSknItnKZOncrEiRNzzL/00kvPdzNERETES7Vq1Yrk5GSqVKnise8ocuE0YcKEXIuSs23cuJGOHTu6Xx84cIA+ffpw0003MWzYsGzL5lYVnlstnruM6+xiXhXluHHjGDVqlPv10aNHadSoEdu2bSM0NDTf7GXR8ePHadmyJdu3b6dy5cp2x/FK2kf50/7Jn/ZPwbSP8qf9k7/k5GRat27Nnj17PL5/ilw4jRw5koEDB+a7zNktRAcOHKB79+5ERUXx2muvZVsuPDyc9evXZ5v3559/kp6e7m5VCg8Pd7c+uRw6dAggR2uVi9PpzHZqz6V+/foerUJ9VUpKCgB169bV/smD9lH+tH/yp/1TMO2j/Gn/5M+1T6pVq+bR03RQjMIpLCyMsLCwQi27f/9+unfvTocOHZg/fz7lymXv/SAqKorJkyeTmJhInTrWs6+XLVuG0+mkQ4cO7mUee+wx0tLSCAoKci8TERGR4xSeiIiIiCd5rB+nAwcO0K1bN+rXr8+MGTM4fPgwSUlJ2VqPevXqRcuWLRk8eDCxsbGsXLmSRx55hOHDh7urx0GDBuF0OomOjmbbtm188sknTJkyhVGjRnm8qhQRERE5m8cuDl+2bBm7du1i165dOW4NdF2jFBAQwBdffMF9991Hly5dCA4OZtCgQe5+ngBCQ0NZvnw5I0aMoGPHjlSrVo1Ro0Zlu4apIE6nk/Hjx+d6+k60fwpD+yh/2j/50/4pmPZR/rR/8lea+6dU+3ESERER8WUeO1UnIiIi4m9UOImIiIgUkgonERERkUJS4SQiIiJSSH5dOEVGRuJwOHIMI0aMsDuaVzhz5gxPPPEEjRo1Ijg4mMaNGzNp0iQyMzPtjuY1jh8/zkMPPUTDhg0JDg6mc+fObNy40e5YtlmzZg19+/YlIiICh8PBp59+mu19YwwTJkwgIiKC4OBgunXrxk8//WRPWBsUtH8WL15M7969CQsLw+FwEBcXZ0tOu+S3f9LT03n00Udp06YNISEhREREcPvtt3PgwAH7AtugoJ+hCRMm0KJFC0JCQqhWrRo9evTI0ZG0Pyto/5zt7rvvxuFw8OKLL5ZoBr8unDZu3EhiYqJ7WL58OQA33XSTzcm8w/Tp05k7dy6zZ8/m559/5tlnn+W5555j1qxZdkfzGsOGDWP58uW89dZbbN26lV69etGjRw/2799vdzRbnDx5knbt2jF79uxc33/22WeZOXMms2fPZuPGjYSHh9OzZ0+OHz9eykntUdD+OXnyJF26dGHatGmlnMw75Ld/Tp06xZYtW3jyySfZsmULixcvZseOHfTr18+GpPYp6GeoWbNmzJ49m61bt7J27VoiIyPp1asXhw8fLuWk9iho/7h8+umnrF+/noiIiJIPYcqQBx980FxwwQUmMzPT7ihe4ZprrjFDhw7NNu/66683t912m02JvMupU6dMQECA+fzzz7PNb9eunXn88cdtSuU9APPJJ5+4X2dmZprw8HAzbdo097zTp0+b0NBQM3fuXBsS2uvc/XO23bt3G8DExsaWaiZvkt/+cdmwYYMBzN69e0snlJcpzD5KTk42gFmxYkXphPIiee2fffv2mbp165pt27aZhg0bmhdeeKFEv9evW5zOlpaWxttvv83QoUPV43iWf/zjH6xcuZIdO3YA8MMPP7B27Vquvvpqm5N5hzNnzpCRkUGFChWyzQ8ODmbt2rU2pfJeu3fvJikpiV69ernnOZ1Ounbtyrp162xMJr4qOTkZh8NB1apV7Y7ildLS0njttdcIDQ2lXbt2dsfxCpmZmQwePJgxY8bQqlUrj3yHx3oO9zaffvopx44dIzo62u4oXuPRRx8lOTmZFi1aEBAQQEZGBpMnT+aWW26xO5pXqFy5MlFRUTz99NNceOGF1K5dm/fee4/169fTtGlTu+N5HdfjlM59+Hbt2rXZu3evHZHEh50+fZqxY8cyaNAgPdT2HJ9//jkDBw7k1KlT1KlTh+XLlxf6GbL+bvr06QQGBvLAAw947DvKTIvTvHnzuOqqqzxzvtNHLVq0iLfffpt3332XLVu2sHDhQmbMmMHChQvtjuY13nrrLYwx1K1bF6fTycsvv8ygQYMICAiwO5rXOrdF1xijVl4pkvT0dAYOHEhmZiZz5syxO47X6d69O3Fxcaxbt44+ffowYMAADh06ZHcs223evJmXXnqJBQsWePR3TpkonPbu3cuKFSsYNmyY3VG8ypgxYxg7diwDBw6kTZs2DB48mIcffpipU6faHc1rXHDBBaxevZoTJ06QkJDAhg0bSE9Pp1GjRnZH8zrh4eEA2R7kDXDo0KEcrVAieUlPT2fAgAHs3r2b5cuXq7UpFyEhITRp0oROnToxb948AgMDmTdvnt2xbPftt99y6NAhGjRoQGBgIIGBgezdu5fRo0cTGRlZYt9TJgqn+fPnU6tWLa655hq7o3iVU6dOUa5c9h+BgIAAdUeQi5CQEOrUqcOff/7J0qVL6d+/v92RvE6jRo0IDw93370K1jUYq1evpnPnzjYmE1/hKpp27tzJihUrqFGjht2RfIIxhtTUVLtj2G7w4MH8+OOPxMXFuYeIiAjGjBnD0qVLS+x7/P4ap8zMTObPn8+QIUMIDPT7zS2Svn37MnnyZBo0aECrVq2IjY1l5syZDB061O5oXmPp0qUYY2jevDm7du1izJgxNG/enDvuuMPuaLY4ceIEu3btcr/evXs3cXFxVK9enQYNGvDQQw8xZcoUmjZtStOmTZkyZQoVK1Zk0KBBNqYuPQXtn6NHjxIfH+/um+jXX38FrNY6V4udP8tv/0RERHDjjTeyZcsWPv/8czIyMtytl9WrVycoKMiu2KUqv31Uo0YNJk+eTL9+/ahTpw5Hjhxhzpw57Nu3r8x0s1PQv7Fzi+3y5csTHh5O8+bNSy5Eid6j54WWLl1qAPPrr7/aHcXrpKSkmAcffNA0aNDAVKhQwTRu3Ng8/vjjJjU11e5oXmPRokWmcePGJigoyISHh5sRI0aYY8eO2R3LNqtWrTJAjmHIkCHGGKtLgvHjx5vw8HDjdDrNP//5T7N161Z7Q5eigvbP/Pnzc31//PjxtuYuLfntH1cXDbkNq1atsjt6qclvH/3111/muuuuMxERESYoKMjUqVPH9OvXz2zYsMHu2KWmoH9j5/JEdwQOY4wpuTJMRERExH+ViWucREREREqCCicRERGRQlLhJCIiIlJIKpxERERECkmFk4iIiEghqXASERERKSQVTiIiIiKFpMJJREREpJBUOImIiIgUkgonERERkUJS4SQiIiJSSCqcRERERApJhZOIiIhIIalwEhERESkkFU4iIiIihaTCSURERKSQVDiJiIiIFJIKJxEREZFC8rnC6ZVXXqFt27ZUqVKFKlWqEBUVxf/+9z/3+4sXL6Z3796EhYXhcDiIi4sr1Ho//vhjWrZsidPppGXLlnzyySce2oLi88S2L1iwAIfDkWM4ffq0B7ek6PLb9vT0dB599FHatGlDSEgIERER3H777Rw4cKDA9fr6cS/utvvKcYeCf+4nTJhAixYtCAkJoVq1avTo0YP169cXuF5fP/ZQvG33lWNf0Laf7e6778bhcPDiiy8WuF5fOO7gme33l2MfHR2dYxs6depU4HpL6tj7XOFUr149pk2bxqZNm9i0aRNXXHEF/fv356effgLg5MmTdOnShWnTphV6nTExMdx8880MHjyYH374gcGDBzNgwIBC/fItTZ7YdoAqVaqQmJiYbahQoYInNqHY8tv2U6dOsWXLFp588km2bNnC4sWL2bFjB/369ct3nf5w3Iu77eAbxx0K/rlv1qwZs2fPZuvWraxdu5bIyEh69erF4cOH81ynPxx7KN62g28c+4K23eXTTz9l/fr1REREFLhOXznu4JntB/859n369Mm2DV9++WW+6yzRY2/8QLVq1cwbb7yRbd7u3bsNYGJjYwv8/IABA0yfPn2yzevdu7cZOHBgScb0iPPd9vnz55vQ0FDPhPOw3LbdZcOGDQYwe/fuzfPz/nbcXQqz7b583I3Jf/uTk5MNYFasWJHn5/312Bdm23352J+77fv27TN169Y127ZtMw0bNjQvvPBCvp/35eNuzPlvv78c+yFDhpj+/fsX6fMleex9rsXpbBkZGbz//vucPHmSqKioYq8nJiaGXr16ZZvXu3dv1q1bd74RPaakth3gxIkTNGzYkHr16vGvf/2L2NjYEkrpGYXZ9uTkZBwOB1WrVs1zPf563Auz7eB7xx0K3v60tDRee+01QkNDadeuXZ7r8cdjX9htB9879rlte2ZmJoMHD2bMmDG0atWqUOvxxeMOJbf94B/HHuCbb76hVq1aNGvWjOHDh3Po0KF811Oix77IpZYX+PHHH01ISIgJCAgwoaGh5osvvsixTFFaXcqXL2/eeeedbPPeeecdExQUVFKRS0xJb3tMTIx56623TFxcnFmzZo254YYbTHBwsNmxY4cH0p+fwmy7Mcb89ddfpkOHDubWW2/Nd33+dtyNKfy2+9JxN6bg7f/ss89MSEiIcTgcJiIiwmzYsCHf9fnTsS/qtvvSsc9v26dMmWJ69uxpMjMzjTGmUC0uvnTcjSn57feXY//++++bzz//3GzdutUsWbLEtGvXzrRq1cqcPn06z/WV5LH3ycIpNTXV7Ny502zcuNGMHTvWhIWFmZ9++inbMkUtnN59991s895++23jdDpLMnaJKOltP1dGRoZp166duf/++0socckpzLanpaWZ/v37m/bt25vk5OR81+dvx70o234ubz7uxhS8/SdOnDA7d+40MTExZujQoSYyMtIcPHgwz/X507Ev6rafy5uPfV7bvmnTJlO7dm2zf/9+97KFLZx85bgbU/Lbfy5fPPa5OXDggClfvrz5+OOP81xfSR57nyycznXllVeau+66K9u8ohQP9evXNzNnzsw2b+bMmaZBgwYlGdMjznfbczNs2LAc54K90bnbnpaWZq699lrTtm1b88cffxT4eX867kXd9tz4ynE3Jvef+7M1adLETJkyJc/3/enYn6ugbc+Nrxx717a/8MILxuFwmICAAPcAmHLlypmGDRvm+XlfPu7GnP/258bXjn1emjRpYqZNm5bn+yV57H36GicXYwypqanF/nxUVBTLly/PNm/ZsmV07tz5fKN53Plue27ri4uLo06dOiW2Tk85e9vT09MZMGAAO3fuZMWKFdSoUaPAz/vLcS/Otue2Pl857lDwz31B7/vLsS/O+7kt7yvH3rVtgwcP5scffyQuLs49REREMGbMGJYuXZrn5335uMP5b39u6/O1Y5+bI0eOkJCQkO92lOixL3KpZbNx48aZNWvWmN27d5sff/zRPPbYY6ZcuXJm2bJlxhhjjhw5YmJjY80XX3xhAPP++++b2NhYk5iY6F7H4MGDzdixY92vv/vuOxMQEGCmTZtmfv75ZzNt2jQTGBhovv/++1Lfvvx4YtsnTJhgvvrqK/Pbb7+Z2NhYc8cdd5jAwECzfv36Ut++/OS37enp6aZfv36mXr16Ji4uziQmJrqH1NRU9zr88bgXd9t95bgbk//2nzhxwowbN87ExMSYPXv2mM2bN5s777zTOJ1Os23bNvc6/PHYF3fbfeXYF/T77ly5nary1eNujGe23x+O/fHjx83o0aPNunXrzO7du82qVatMVFSUqVu3rklJSXGvw5PH3ucKp6FDh5qGDRuaoKAgU7NmTXPllVdm+0GaP3++AXIM48ePdy/TtWtXM2TIkGzr/fDDD03z5s1N+fLlTYsWLfI9V2oXT2z7Qw89ZBo0aOBeZ69evcy6detKcasKJ79td52azG1YtWqVex3+eNyLu+2+ctyNyX/7//rrL3PdddeZiIgIExQUZOrUqWP69euX4wJpfzz2xd12Xzn2Bf2+O1duhYOvHndjPLP9/nDsT506ZXr16mVq1qxpypcvbxo0aGCGDBli4uPjs63Dk8feYYwxRW+nEhERESl7/OIaJxEREZHSoMJJREREpJBUOImIiIgUkgonERERkUJS4SQiIiJSSCqcRERERApJhZOIiIhIIflM4TRnzhwaNWpEhQoV6NChA99++22hP5uamsqECRNK9NEkvqIsbzuU7e3XtpfNbYeyvf3a9rK57VB62+8THWAuWrSIwYMHM2fOHLp06cKrr77KG2+8wfbt22nQoEGBn09JSSE0NJTk5GSqVKlSCom9R1nedijb269tL5vbDmV7+7XtZXPbofS23ydanGbOnMmdd97JsGHDuPDCC3nxxRepX78+r7zyit3RREREpAzx+sIpLS2NzZs306tXr2zze/Xqxbp162xKJSIiImVRoN0BCvLHH3+QkZFB7dq1s82vXbs2SUlJuX4mNTU12znOo0ePApCQkEBoaKjnwnqh48ePA7B//35SUlJsTlP6yvL2a9vL5rZD2d5+bXvZ3PbMzEx+++03ADx9BZLXF04uDocj22tjTI55LlOnTmXixIk55rdu3doj2XxBy5Yt7Y5gq7K8/dr2sqssb7+2vexKS0vz6Pq9vnAKCwsjICAgR+vSoUOHcrRCuYwbN45Ro0a5XyckJNC6dWs2bNhAnTp1PJpXRERESldiYiKXXnopP/30E2FhYR79Lq8vnIKCgujQoQPLly/nuuuuc89fvnw5/fv3z/UzTqcTp9Ppfu06PVenTh3q1avn2cAiIiJiiypVquR5NqqkeH3hBDBq1CgGDx5Mx44diYqK4rXXXiM+Pp577rnH7mgiIiJShvhE4XTzzTdz5MgRJk2aRGJiIq1bt+bLL7+kYcOGdkcTERGRMsQnCieA++67j/vuu8/uGCIiIlKGeX0/TuLfDh06xN13302DBg1wOp2Eh4fTu3dvYmJi3Ms4HA4+/fTTEvm+PXv24HA4iIuLy3e5b775BofDwbFjx3K8d9FFFzFhwgT3MvkNCxYsAODjjz+mW7duhIaGUqlSJdq2bcukSZPcXWUUxuLFi+nZsyc1a9akSpUqREVFsXTp0hzLffzxx7Rs2RKn00nLli355JNPsr0/depULrnkEipXrkytWrW49tpr+fXXX93vp6en8+ijj9KmTRtCQkKIiIjg9ttv58CBAwVm/PPPPxk8eDChoaGEhoYyePDgHPvwwQcfpEOHDjidTi666KJCb//q1avp0KEDFSpUoHHjxsydOzfb+6+//jqXX3451apVo1q1avTo0YMNGzYUuN6tW7fStWtXgoODqVu3LpMmTcrzdubvvvuOwMDAIuU2xnDVVVfl+DnO7+dn48aN+a6zoGMM5/eYKhHJmwonsdUNN9zADz/8wMKFC9mxYwdLliyhW7duRSooCqukb1Ht3LkziYmJ7mHAgAH06dMn27ybb76Zxx9/nJtvvplLLrmE//3vf2zbto3nn3+eH374gbfeeqvQ37dmzRp69uzJl19+yebNm+nevTt9+/YlNjbWvUxMTAw333wzgwcP5ocffmDw4MEMGDCA9evXu5dZvXo1I0aM4Pvvv2f58uWcOXOGXr16cfLkSQBOnTrFli1bePLJJ9myZQuLFy9mx44d9OvXr8CMgwYNIi4ujq+++oqvvvqKuLg4Bg8enG0ZYwxDhw7l5ptvLvS27969m6uvvprLL7+c2NhYHnvsMR544AE+/vhj9zLffPMNt9xyC6tWrSImJoYGDRrQq1cv9u/fn+d6U1JS6NmzJxEREWzcuJFZs2YxY8YMZs6cmWPZ5ORkbr/9dq688spC5wZ48cUXc71Y9dyfn8TERIYNG0ZkZCQdO3bMc32FOcaLFi3ioYce4vHHHyc2NpbLL7+cq666ivj4+CJlF5FcmDIgISHBACYhIcHuKHKWP//80wDmm2++yXOZhg0bGsA9NGzY0BhjzK5du0y/fv1MrVq1TEhIiOnYsaNZvnx5js8+/fTTZsiQIaZKlSrm9ttvz7YuwHTt2jXX7121apUBzJ9//pnjvXbt2pnx48fnmD9kyBDTv3//bPPWr19vAPPiiy/muQ/OR8uWLc3EiRPdrwcMGGD69OmTbZnevXubgQMH5rmOQ4cOGcCsXr06z2U2bNhgALN37948l9m+fbsBzPfff++eFxMTYwDzyy+/5Fh+/Pjxpl27dnmu72z//ve/TYsWLbLNu/vuu02nTp3y/MyZM2dM5cqVzcKFC/NcZs6cOSY0NNScPn3aPW/q1KkmIiLCZGZmZlv25ptvNk888USRcsfFxZl69eqZxMREA5hPPvkkz2XT0tJMrVq1zKRJk/JdZ2GO8aWXXmruueeebMu0aNHCjB07tlC5RXxNaf6dV4uT2KZSpUpUqlSJTz/9NM+nWbtOWcyfP5/ExET36xMnTnD11VezYsUKYmNj6d27N3379s3xP+rnnnuO1q1bs3nzZp588kn3qZsVK1aQmJjI4sWLPbiF8M4771CpUqU8r8+rWrUq8PcpxG+++abQ687MzOT48eNUr17dPS8mJibH44l69+6d7+OJkpOTAbKtJ7dlHA6HO29uYmJiCA0N5bLLLnPP69SpE6Ghoef9eKS8tmvTpk2kp6fn+plTp06Rnp6e73bFxMTQtWvXbN2X9O7dmwMHDrBnzx73vPnz5/Pbb78xfvz4XNfjOu129mdOnTrFLbfcwuzZswkPDy9wG5csWcIff/xBdHR0tvmRkZFMmDAhW+b8jrEeUyXiWSqcxDaBgYEsWLCAhQsXUrVqVbp06cJjjz3Gjz/+6F6mZs2agFVghIeHu1+3a9eOu+++mzZt2tC0aVOeeeYZGjduzJIlS7J9xxVXXMEjjzxCkyZNaNKkifvzNWrUIDw8PN8/qiVh586dNG7cmPLly+e7XPny5WnevDkVK1Ys9Lqff/55Tp48yYABA9zzkpKSivR4ImMMo0aN4h//+EeePeufPn2asWPHMmjQoHyfOJ6UlEStWrVyzK9Vq1ae319YeW3XmTNn+OOPP3L9zNixY6lbty49evQo8npd74F1DMeOHcs777xDYGDu99NUrFiR5s2bZzvODz/8MJ07d86zv7lzzZs3j969e1O/fv1s8y+44IJsHfoVdIyL85gqESk8FU5iqxtuuIEDBw6wZMkSevfuzTfffMPFF1/svqg6LydPnuTf//43LVu2pGrVqlSqVIlffvklR4tTfteKlAaTz6OBzla3bl1++eUXLr300kKt97333mPChAksWrQoR7FSlMcTjRw5kh9//JH33nsv1/fT09MZOHAgmZmZzJkzxz3/nnvucbcYVqpUKc/vLuj7c3P2es/uqy237crrO5999lnee+89Fi9eTIUKFfL9vvzWm5GRwaBBg5g4cSLNmjXLcx2XXnopv/zyC3Xr1gWs1qOvv/6aF198Md/vdtm3bx9Lly7lzjvvzPHeypUrGTlyZIGZz51XlJ8DESk8n+mOQPxXhQoV6NmzJz179uSpp55i2LBhjB8/Pscpi7ONGTOGpUuXMmPGDJo0aUJwcDA33nhjjgvAQ0JCipXJ1bKSnJyc4/TUsWPHCv2w6GbNmrF27VrS09MLbHUqrEWLFnHnnXfy4Ycf5mhNCQ8PL/Tjie6//36WLFnCmjVrcu1RPz09nQEDBrB7926+/vrrbK1NkyZN4pFHHsnx3QcPHsyxnsOHD+f5eKTcnH3Ho+s789quwMBAatSokW3+jBkzmDJlCitWrKBt27b5flde6wWrheb48eNs2rSJ2NhYd/GSmZmJMYbAwECWLVvGFVdckWO9X3/9Nb/99luOn50bbriByy+/PMcp2fnz51OjRo1CXYBf0DEuzmOqRKTw1OIkXqdly5buO7zAOo2VkZGRbZlvv/2W6OhorrvuOtq0aUN4eHi260vyEhQUBJBjfedq2rQp5cqVy3FbeGJiIvv376d58+aF2pZBgwZx4sSJbK01Z8utu4P8vPfee0RHR/Puu+9yzTXX5Hg/KiqK5cuXZ5u3bNkyOnfu7H5tjGHkyJEsXryYr7/+mkaNGuVYj6to2rlzJytWrMhRnNSqVct9+rNJkybu705OTs7WBcD69etJTk7O9v0FOXu9rta0vLarY8eO2QrS5557jqeffpqvvvqqUK2NUVFRrFmzJlvBvWzZMiIiIoiMjKRKlSps3bqVuLg493DPPffQvHlz4uLisl3PdbaxY8fy448/ZvscwAsvvMD8+fOzLWuMYf78+dx+++2FKq4LOsZnP6bqbMuXLy/ScRCRPHj88nMvoLvqvNMff/xhunfvbt566y3zww8/mN9//9188MEHpnbt2mbo0KHu5Zo2bWruvfdek5iYaI4ePWqMMebaa681F110kYmNjTVxcXGmb9++pnLlyubBBx90f65hw4bmhRdeyPad6enpJjg42DzzzDMmKSnJHDt2LM989957r2nQoIH55JNPzO+//27Wrl1runbtatq0aWPS09NzLJ/bXXXGWHeEBQQEmDFjxph169aZPXv2mBUrVpgbb7zRfbfdvn37TPPmzc369evzzPPuu++awMBA85///MckJia6h7O34bvvvjMBAQFm2rRp5ueffzbTpk0zgYGB2e50u/fee01oaKj55ptvsq3n1KlT7n3Ur18/U69ePRMXF5dtmdTU1DzzGWNMnz59TNu2bU1MTIyJiYkxbdq0Mf/617+yLbNz504TGxtr7r77btOsWTMTGxtrYmNj813377//bipWrGgefvhhs337djNv3jxTvnx589FHH7mXmT59ugkKCjIfffRRtszHjx/Pc73Hjh0ztWvXNrfccovZunWrWbx4salSpYqZMWNGnp/J7a669evXm+bNm5t9+/bl+TnyuKtuxYoVBjDbt2/P9XNXXHGFmTVrlvt1YY7x+++/b8qXL2/mzZtntm/fbh566CETEhJi9uzZk2c+EV9Wmn/nVTiJbU6fPm3Gjh1rLr74YhMaGmoqVqxomjdvbp544gn3H3FjjFmyZIlp0qSJCQwMdHdHsHv3btO9e3cTHBxs6tevb2bPnm26du1aYOFkjDGvv/66qV+/vilXrlye3RG48k2aNMlceOGFJjg42DRs2NBER0ebxMTEXJfPq3AyxphFixaZf/7zn6Zy5comJCTEtG3b1kyaNMndHcHu3bsNYFatWpVnnq5du+boTgEwQ4YMybbchx9+aJo3b27Kly9vWrRoYT7++ONs7+e2DsDMnz8/W5bchvzyGWPMkSNHzK233moqV65sKleubG699dYcXS7ktR27d+/Od93ffPONad++vQkKCjKRkZHmlVdeyfb+uV1XuIbcuo44248//mguv/xy43Q6TXh4uJkwYUKOrgjOllvh5Oq+Ir9tyKtwuuWWW0znzp3z/FzDhg1zbENBx9gYY/7zn/+Yhg0bmqCgIHPxxRfn292EiK8rzb/zDmPy6CLXj+zbt4/69euTkJCQ67UcIiIi4rtK8++8rnESERERKSQVTiIiIiKFpMJJREREpJBUOImIiIgUkgonERERkUJS4SQiIiJSSCqcRERERApJhZOIiIhIIalwEhERESkkFU4iIiIihaTCSURERKSQVDiJiIiIFJIKJxEREZFCUuEkIiIiUkgqnEREREQKSYWTiIiISCGpcBIREREpJBVOIiIiIoWkwklERESkkFQ4iYiIiBSSbYXTnj17uPPOO2nUqBHBwcFccMEFjB8/nrS0tGzLORyOHMPcuXNtSi0iIiJlWaBdX/zLL7+QmZnJq6++SpMmTdi2bRvDhw/n5MmTzJgxI9uy8+fPp0+fPu7XoaGhpR1XRERExL7CqU+fPtmKocaNG/Prr7/yyiuv5CicqlatSnh4eGlHFBEREcnGq65xSk5Opnr16jnmjxw5krCwMC655BLmzp1LZmZmvutJTU0lJSXFPRw/ftxTkUVERKQMsa3F6Vy//fYbs2bN4vnnn882/+mnn+bKK68kODiYlStXMnr0aP744w+eeOKJPNc1depUJk6c6OnIIiIiUsaUeIvThAkTcr2g++xh06ZN2T5z4MAB+vTpw0033cSwYcOyvffEE08QFRXFRRddxOjRo5k0aRLPPfdcvhnGjRtHcnKye9i+fXtJb6YITwINgRfsDgIwfjw0bAjn/MdDRERKVom3OI0cOZKBAwfmu0xkZKR7+sCBA3Tv3p2oqChee+21AtffqVMnUlJSOHjwILVr1851GafTidPpdL9OSUkpXHiRIvgDiAeS7Q4CcOQIxMdDslekERHxWyVeOIWFhREWFlaoZffv30/37t3p0KED8+fPp1y5ghvAYmNjqVChAlWrVj3PpCLnx2SNHbamyJKRYY0L8W9IRESKz7ZrnA4cOEC3bt1o0KABM2bM4PDhw+73XHfQffbZZyQlJREVFUVwcDCrVq3i8ccf56677srWoiRiB1fh5BWliqtwCgiwN4eIiJ+zrXBatmwZu3btYteuXdSrVy/be8ZYf5LKly/PnDlzGDVqFJmZmTRu3JhJkyYxYsQIOyKLZOO6t9MrWpxcd5qqcBIR8SjbCqfo6Giio6PzXebcvp5EvIlO1YmIlD36LStSTF5VOLkeVRQUZG8OERE/p8JJpJhcp+q84uSYq5PXypXtzSEi4udUOIkUk6tw8op/RK7CqVIle3OIiPg5r/idL+KL1OIkIlL2qHASKSavbHFS4SQi4lFe8TtfxJeZghfxPOMVKURE/J4KJ5Ficp2iy7A1RZasTmNJSrI3h4iIn1PhJFJMrk7QztiaIkudOtZYhZOIiEepcBIpJq8qnFwPvD540N4cIiJ+ToWTSDG5Or70iquLgoOtcWqqvTlERPycCieRYnIVTpn5LlVKype3xq4exEVExCNUOIkUk+sfj1e0OLketZKebm8OERE/p8JJpJi86lSdq8VJhZOIiEepcBIpJq86VedqcdKpOhERj1LhJFJMrn6cvKLFSYWTiEipUOEkUkyufzxe0QGmCicRkVKhwkmkmLyqcHI6rbG6IxAR8SgVTiLF5DpFF5DvUqXE1dLkukhcREQ8QoWTSDG57l8LzHepUpKSYo2rVLE3h4iIn1PhJFJMrketqHASESk7VDiJFJMKJxGRskeFk0gxeeWpusqV7c0hIuLnVDiJFJPr4nCv+Efkuji8QgV7c4iI+Dmv+J0v4su8ogNMk5XC4ch/OREROS8qnESKyaueVafCSUSkVKhwEikm1z8er3hWnYsKJxERj1LhJFJMXlk4iYiIR6lwEikmV4/hXvHIFRERKRUqnESKyVU4qcVJRKTsUOEkUkxqcRIRKXtUOIkUk1dd4xSY1Q2nqz8nERHxCFsLp8jISBwOR7Zh7Nix2ZaJj4+nb9++hISEEBYWxgMPPECa/jiIF/GK+9iqV7fGR4/am0NExM/Z/rSISZMmMXz4cPfrSpUquaczMjK45pprqFmzJmvXruXIkSMMGTIEYwyzZs2yI66Id1LhJCJSKmwvnCpXrkx4eHiu7y1btozt27eTkJBAREQEAM8//zzR0dFMnjyZKnqgqdjI1dJ0Jt+lSkmNGtb4jz/szSEi4udsv8Zp+vTp1KhRg4suuojJkydnOw0XExND69at3UUTQO/evUlNTWXz5s15rjM1NZWUlBT3cPz4cY9ug5RNdbPG8bamyFK7tjU+eNDeHCIifs7WFqcHH3yQiy++mGrVqrFhwwbGjRvH7t27eeONNwBISkqitusPQpZq1aoRFBREUlJSnuudOnUqEydO9Gh2kaZZ4522pshSp441Tky0N4eIiJ8r8RanCRMm5Ljg+9xh06ZNADz88MN07dqVtm3bMmzYMObOncu8efM4cuSIe32OXB4hYYzJdb7LuHHjSE5Odg/bt28v6c0UcRdOO/CC59W5TncnJv793DoRESlxJd7iNHLkSAYOHJjvMpGRkbnO79SpEwC7du2iRo0ahIeHs379+mzL/Pnnn6Snp+doiTqb0+nE6XS6X6ekpBQyvUjhXYB1nVMKcBioZWcYV4vTX39BSgqEhtqZRkTEb5V44RQWFkZYWFixPhsbGwtAnaw/AlFRUUyePJnExET3vGXLluF0OunQoUPJBBYppgpAA2Av0AuYCvTBpu4JKla0iqXkZPj5Z8j6T4iIiJQs2y4Oj4mJ4YUXXiAuLo7du3fzwQcfcPfdd9OvXz8aNGgAQK9evWjZsiWDBw8mNjaWlStX8sgjjzB8+HDdUSde4RkgFPgBuBroDqzP9xMedPXV1viVV+xKICLi92wrnJxOJ4sWLaJbt260bNmSp556iuHDh/Pee++5lwkICOCLL76gQoUKdOnShQEDBnDttdcyY8YMu2KLZHMb8BvwCOAEVgOdgBuAX0o7zEMPWeP33oN8bp4QEZHicxjj/1eS7tu3j/r165OQkEC9evXsjiN+Kh6YACzk78ewVAHCzxpq5/G6FlC+JEJ06QLr1sGVV8JLL0GrViWxVhERr1aaf+dt7wBTxF80AN4ERgOPAUuwLhxPwbrzriBh5F1Ynf06jHyaiidOhD59YOVKaNsWhgyx5tWvX+ztEhGRv6lwEilhrYD/AslAIpCUNRw8a/rs14eADOCPrOGnAtYfgNVClWth1aMH4b/9RviMGYS/9Rah8+fjePddGDkSxo37u4dxEREpFp2qE7FZBnCE7IVVXkVWUR+oEpSWRnhiIuFJSYT/8Qe1IyIIb9WK8KCgHIVXSMlsjohIqdOpOpEyxNWCVAtoU8Cy6VgtVIUpspKBtKAg4hs2JL5hwwJzVCJ7IZXXacPaWBfCi4iURSqcRHxIeaxn5NUtaEHgL6wi6iCQlJlJ0qZNJK1bx8GgIJLCw0lq1oyDrVuTmLXsiazhtwLW68Dq/LPdOUMDbOrDSkSkFKlwEvFTwUBk1kC5chAZCc8/Dx98YC1w8cWweTMGq2DKr/Xq7Ol0YFfW8PFZ31cVaJs1uIqp1lk5RET8hQonEX9nDMyfD488An/+aRVR998PTz8NWK1ElbOGpvmtB+uZfIeBrVidfrqG7cAxYE3W4FIOaEbO1qkI1DolIr5JhZOIP/v1V7j7bli92np90UXw+uvQsWOxVufAuhbryqzBJQ2rw88fzhkOZ83/BVh01vI1yFlMXYiunRIR76fCScQfpabCtGkwZQqkpVnPsps0CR58EAJL/p99EH+fphucNc9gndo7t5j6Fesuwq+zBpdArOLp3ILK1ocni4icQ4WTiL/ZtQuuuw62bbNeX3UVzJljXeNUihxAnayhz1nzT2P1VXVuQXUM6xTgVuDts5bvBXyKrpUSEe+gwknEnyxbBjffDMeOQa1a8PLLMGAAOLzniqIKQIeswcUA+8hZTO0ElgHRwHvY+HBNEZEsKpxE/IEx8OKL1gXgmZnQqRMsXgx16tidrFAcQP2s4V9nzV8N9AQ+AFoAE0s/mohINvoPnIivO3ECoqNh1CiraLrjDvjmG58pmvLTFXg1a3oS8CJwxrY0IiIqnER827p11p1y//d/EBBgtTrNmwdO/7k/7Q7g31nTD2P1rv4x1uk9EZHSpsJJxBelpcHjj8Pll8Nvv0H9+rBihXXXnBddz1RSpgIvYHVj8AtwI3AZsNLOUCJSJqlwEvE1P/1kXcM0ZYp1au7222HrVujWze5kHlMOeAjrcTBPYj2QeCPQI2vYaFsyESlrVDiJ+IrMTHjhBejQAWJjoUYN+OgjWLgQQkPtTlcqQrGudfodeADr2X0rgUuBG4Cf7YsmImWECicRX/Dnn9Czp3UBeGoqXH211cp0ww12J7NFLeAlYAcwBOuuvMVYz8YbBhy3L5qI+DkVTiK+4N//hq+/tnoAnzsXPv/cL+6aO1+RwAKsTjOvBTKBecA/gHi7QomIX1PhJOLtNm2y7pQD+Oor69lzfngB+PloBXyC9YDh2sCPWKfvNtgZSkT8kgonEW+WmQkPPGB1cHnbbdZddJKny7GKpbbAQax+oD6wNZGI+BsVTiLebPFiiImBSpVg+nS70/iEBsBarB7ITwMDgRW2JhIRf6LCScSbzZxpjR9+GCIi7M3iQypjPRj4dqyOMocCyXYGEhG/ocJJxFutX2+1NgUFwX332Z3G5wQA/wEaAwnAKHvjiIifUOEk4q1eeska33ILhIfbm8VHVcK6684BvAl8bmsaEfEHKpxEvNG+ffDhh9b0gw/am8XHXY71jDuA4UCSjVlExPepcBLxRu++C2fOWHfRtW9vdxqf9wzQAqtoqgf8E5gCxGL1/SQiUlgqnES8UUCANVYnlyUiGFgEtAEygG+Bx4GLgQggGngfOGpTPhHxHSqcRLxR8+bW+Ndf7c3hR9pidYy5G3gF6If1sOCDwELgFqAm0BnreXgbUWuUiOSkwknEG7VoYY137LA6wZQSEwncA/wXq4VpJfAI1nPuMoEYYDxWz+O1gduAd4DDNmQVEe+jwknEG0VGWt0Q/PUXJCTYncZvBQFXAM9hPe8uHngNuB6rL6g/sIqm27CKqEuBp4DvUWuUSFllW+H0zTff4HA4ch02btzoXi639+fOnWtXbJHSERgITZpY0wMGwJIlankqBfWx7rz7GDgCfAOMBdphdaS5EXgaiMJquRoNrM96T0TKBtsKp86dO5OYmJhtGDZsGJGRkXTs2DHbsvPnz8+23JAhQ2xKLVKKHngAnE7YsAH694d27eDtt6277cTjymM9624qEAfsx+oL6ias1qgEYCbQCWgEjAE2oSJKxN/ZVjgFBQURHh7uHmrUqMGSJUsYOnQojnOe/F61atVsywYHB9uUWqQU3X037N4N//43VK4M27bB4MHQtCnMmWOdxpNSEwHcgfXQ4EPAJ1gXlIcAe4EZwCXABVitVFtQESXij7zmGqclS5bwxx9/EB0dneO9kSNHEhYWxiWXXMLcuXPJLOCURWpqKikpKe7h+PHjHkot4mF16lgP942Ph2eegbAw2LMHRoywTuXt3m13wjKpAnAt8C7WReMfAzcDFbHu2psOdADaA4n2RBQRD/GawmnevHn07t2b+vXrZ5v/9NNP8+GHH7JixQoGDhzI6NGjmTJlSr7rmjp1KqGhoe6hZcuWnowu4nlVq8Ljj8PevTBrFtStCwcOgK73s10w1sXk72MVUR9inc4LBn4A7kUtTyL+xGGMKdF/0xMmTGDixIn5LrNx48Zs1zHt27ePhg0b8sEHH3DDDTfk+9nnn3+eSZMmkZyc97POU1NTSU1Ndb/ev38/LVu2JCEhgXr16hVyS0S82HvvwaBB0KYN/Pij3WkkF9uwOthMxyqqbrY3johf27dvH/Xr1y+Vv/OBJb3CkSNHMnDgwHyXiYyMzPZ6/vz51KhRg379+hW4/k6dOpGSksLBgwepXbt2rss4nU6cTqf7dUpKSsHBRXxJz57gcMDWrdZz7fQfAq/TGqt38gnA/cCVQJidgUSkRJR44RQWFkZYWOF/PRhjmD9/Prfffjvly5cvcPnY2FgqVKhA1apVzyOliI8LC4NLL4X16+Grr2DYMLsTSS7GAR9htT49BLxtilTSZAAALwpJREFUaxoRKQm2X+P09ddfs3v3bu68884c73322We8/vrrbNu2jd9++4033niDxx9/nLvuuitbi5JImXTVVdb4q6/szSF5CsLqwqAcVkea/7U3joiUgBJvcSqqefPm0blzZy688MIc75UvX545c+YwatQoMjMzady4MZMmTWLEiBE2JBXxMkeOWOO0NHtzSL4uweoo8zmshwlvwuqyQER8U4lfHO6NSvOiMZFSkZBgdUeQlgbLl0OPHnYnknykAd2wnoPXDliH1XWBiJSM0vw7b/upOhEphsmTraKpa1e48kq700gBgrA6zqyF1UXBPaiLAhFfpcJJxNf8/jvMm2dNP/20dXedeL16wCIgAHgLUA9cIr5JhZOIL0lJgfvvt55X16sXXH653YmkCLoB07KmH8waVgMZdgUSkSJT4STiK5Yvh9at4csvISDAegSL+JzRwACsjjFfxiqmwoE7gc+B07YlE5HCUOEk4u2OH7ce+Nurl3VReOPGsHIlXHKJ3cmkGBxYz7j7L9ZddtWBP7C6LegL1MTqZfx9QF33ingfFU4i3uz7763Hqrz2mvV6xAj44QfronDxWQFAP2A+cBBYCYwE6gInsC4kvwWriLoaWGpPTBHJhQonEW/26KPWg30bNICvv4bZs6FSJbtTSQkKBK4AZgEJwAZgLNAcqxuD/wHXAD/ZFVBEslHhJOLNune3xrVrQ7dutkYRz3NgdZg5FfgF2A70wLp4/GHUhYGIN1DhJOLN7rsPnE7YuBHWrrU7jZSyC4FXsfqBWg58Zm8cEUGFk4h3q1ULhgyxpmfMsDeL2KIx1p14AKOAVBuziIgKJxHvN2qUNf7sM/j1V3uziC3GAXWA37CeeSci9lHhJOLtmjeHvn3BGLj+ekhKsjuRlLLK/N1x5pPAdcBe++KIlGkqnER8wQsvQN26sH271RXBvn12J5JSdhtWy1Mg8CnW9U9T0Kk7kdKmwknEF1xwAaxZAw0bwo4d8M9/wp49dqeSUlQOq1CKA7oCfwGPA22AZfbFEilzVDiJ+IrGja3iqUkT2L3bek7dzp12p5JS1gpYBbyD9aiWnUBv4EasfqBExLNUOIn4kgYNYPVqaNHCOl33z3/CL7/YnUpKmQMYBPwKPITVE/nHQAvgWSDTtmQi/k+Fk4iviYiATz6xHvSblAQzZ9qdSGxSBXgB2AL8AzgFPArcjYonEU9R4STia37/Hfr3h4wMCA2FYcPsTiQ2awusAV7B+qX+BjAMq8dxESlZKpxEfMmGDdCpk3WBeIMG8N13cOmldqcSL+AA7gHewvrFPh8YioonkZKmwknEVxw+DD16WOP27SEmBlq1sjuVeJlBwLtY1z39H6D+5kVKlgonEV+xZg0cP27dVbd6tXWtk0gubgYmZ01/Y2MOEX+kwknEV8TFWeOuXaFyZVujiPe7JGv8u60pRPyPCicRXxEba40vusjWGOIbLsga70bXOYmUJBVOIr7C1eLUvr2tMcQ31APKA+mAHtAjUnJUOIl4u4MHYcwY2L8fHA5o29buROIDAoBGWdO/2RlExM8E2h1ARPKQmAjPPQdz58Jff1nzbr9d1zdJoUUCO9CjWERKkgonEW+zbx88+yy89hqkplrzLrsMnnoKrrrK3mziU+pljXWqTqTkqHAS8Rbx8TBtGsybB2lp1rzOnWH8eOjZ0zpNJ1IErsJJLU4iJUeFk4jd9uyBKVNgwQJIT7fmde1qtTB1766CSYpNLU4iJU+Fk4idfvoJLrnk72uYrrjCKpi6drU3l/gFV+G0GfgFaGFjFhF/4dG76iZPnkznzp2pWLEiVatWzXWZ+Ph4+vbtS0hICGFhYTzwwAOkuU5TZNm6dStdu3YlODiYunXrMmnSJIwxnowuUjoWLrSKpnbt4NtvYeVKFU1SYjoDEUAS0AGYB+g3p8j58WjhlJaWxk033cS9996b6/sZGRlcc801nDx5krVr1/L+++/z8ccfM3r0aPcyKSkp9OzZk4iICDZu3MisWbOYMWMGM2fO9GR0kdLx5ZfWeOxY+Mc/7M0ificU2ARcCZwChgG3AMdszCTi6zx6qm7ixIkALFiwINf3ly1bxvbt20lISCAi67lbzz//PNHR0UyePJkqVarwzjvvcPr0aRYsWIDT6aR169bs2LGDmTNnMmrUKBy6/kN81YYN1qm6cuWgd2+704ifqgMsA54DngAWAd8DX6FTdyLFYWsHmDExMbRu3dpdNAH07t2b1NRUNm/e7F6ma9euOJ3ObMscOHCAPXv2lHZkkfN38iQ8+qh1xxxAjx5QrZq9mcSvlQMeBdZidYq5F7geOGFnKBEfZWvhlJSURO3atbPNq1atGkFBQSQlJeW5jOu1a5lzpaamkpKS4h6OHz/ugfQixfDll9C6tdVPU0YG3HCDdZ2TSCm4DKu1KQL4GbgPXfMkUlRFLpwmTJiAw+HId9i0aVOh15fbqTZjTLb55y7jujA8r9N0U6dOJTQ01D20bNmy0HlEPCIxEQYMgGuusbofaNAAliyBjz6C8HC700kZUgt4D+uX/1vAm/bGEfE5Rb7GaeTIkQwcODDfZSIjIwu1rvDwcNavX59t3p9//kl6erq7VSk8PDxHy9KhQ4cAcrREuYwbN45Ro0a5X+/fv1/Fk9gjMxNefdW6+DslBQIC4OGHrU4tK1WyO52UUf8EngEeA0YClwB6AqJI4RS5cAoLCyMsLKxEvjwqKorJkyeTmJhInTp1AOuCcafTSYcOHdzLPPbYY6SlpREUFOReJiIiIs8Czel0ZrsmKiUlpUTyihTJxo1w//3g+s/BpZdaRdRFF9kaSwSsa56+Bf4H3AR8DdS1NZGIb/DoNU7x8fHExcURHx9PRkYGcXFxxMXFceKEdUlir169aNmyJYMHDyY2NpaVK1fyyCOPMHz4cKpUqQLAoEGDcDqdREdHs23bNj755BOmTJmiO+rEex04AEOGWIXS+vXWQ3lnz4Z161Q0idcoB/wfVieZO4B2wBe2JhLxEcaDhgwZYrCuPcw2rFq1yr3M3r17zTXXXGOCg4NN9erVzciRI83p06ezrefHH380l19+uXE6nSY8PNxMmDDBZGZmFjpHQkKCAUxCQkJJbZpITqdOGfPMM8aEhBgD1nD77cbs3293MpE87TTGXGyMIWt42BiTamsikaIrzb/zDmP8vwvuffv2Ub9+fRISEqhXr17BHxApCmPggw/g3/+2HtQLEBUFL75otTqJeLlUrFN3L2W97gi8D1xgWyKRoinNv/O2dkcg4vM2bYLLL4eBA62iqX59ePdd+O47FU3iM5zAi8B/gepYvY23xyqeRCQ7FU4ixZGZCffdZz2g97vvoGJFmDgRfvkFbrkFdP2d+KB+QBzwD+A41uNZ7kd9PYmcTYWTSHG89x688oo1fdtt8Ouv8NRTVgEl4sPqA6uAJwEHMBvYbGsiEe+iwkmkqE6fhsces6afeQbeegt07Zz4kUBgElaLE6iTTJGzqXASKapZs6zrmerWtTqzFPFTd2SN3wP+sjOIiBdR4SRSFEeOwOTJ1vQzz+jUnPi1K4AGwDHgU1uTiHgPFU4iRTF5MiQnQ9u2MHiw3WlEPKocf7c6zbMziIgXUeEkUljbtlmn6QCefdZ67pyIn4vGukh8JbDT3igiXkGFk0hhZGbCPffAmTNw7bXQu7fdiURKRSRwVdb0HBtziHgLFU4ihfHmm1Z/TSEh8PLLdqcRKVX3Z43fBE7YGUTEC6hwEinI4cPW41QAJk2yegcXKUN6AU2BFKwexkXKMhVOIgUZMwb+/BPatYMHHrA7jUipKwc8lTU9CdhmYxYRu6lwEsnP6tWwcKH1CJVXX4XAQLsTidjiVuBfQDrWnXZn7I0jYhsVTiJ5SUuDe++1pu+6Cy67zN48IjZyAK8CVbEeAjzD1jQi9lHhJJKX55+Hn3+GmjVh6lS704jYLoK/r3EaD2y3L4qIbVQ4ieTm5EmrZ3CAmTOhWjV784h4iduBq4E04Ambs4jYQYWTSG6+/RZOnYKGDeHWW+1OI+I1HEDWI6753s4gIjZR4SSSmxUrrHHPntaF4SLi1hargEoEDtucRaS0qXASyY2rcOrRw94cIl6oMnBB1vQPdgYRsYEKJ5FzHToEP2T9ObjiCnuziHipi7LGcTZmELGDCieRcy1fbo3btbPuqBORHNpljdXiJGWNCieRcy1aZI379rU3h4gXa5s13mprCpHSp8JJ5GxHj8JXX1nTt9xibxYRL9Yma/wzVm/iImWFCieRsy1eDOnp0LYttGxpdxoRr9UQqITVn9NOm7OIlCYVTiIuxsC771rTam0SyVc5oFXWtE7XSVmiwklkzx6YMgVatYJVq6x5AwfaGknEF7hO170IHLIxh0hp0qPepWw6ehQ+/BDeecfqJdzF6YTHHoPISNuiifiK+4APsHoQ7wh8AnSwNZGI56lwkrLj9Gn44gt4+21rnJ51SavDAd27w223wfXXQ2iovTlFfER7YD1wLfAr8A/gDUAPKRJ/psJJyobvv4d//QuOHPl7Xtu2VrF0yy1Qr5592UR8WAus4ulW4AvgNuAkcJedoUQ8SIWT+L/UVIiOtoqmevWsh/beeiu0aVPgR0WkYKHAf4GHgNnAfFQ4if9S4ST+b/p0+PVXqF0btm6FqlXtTiTidwKAe7AKp58Ag/UgYBF/49G76iZPnkznzp2pWLEiVXP5Y/XDDz9wyy23UL9+fYKDg7nwwgt56aWXsi2zZ88eHA5HjuErVyeFIvnZudO6Yw7gxRdVNIl4UFOgPHAcSLA5i4ineLTFKS0tjZtuuomoqCjmzZuX4/3NmzdTs2ZN3n77berXr8+6deu46667CAgIYOTIkdmWXbFiBa1atXK/rl69uiejiz8wBu691zpV16sX3Hyz3YlE/FoQ0AyrxWkb0MDeOCIe4dHCaeLEiQAsWLAg1/eHDh2a7XXjxo2JiYlh8eLFOQqnGjVqEB4e7pGc4qc++ABWroQKFWDOHOvuORHxqNZYhdNW4Gqbs4h4gtd1gJmcnJxra1K/fv2oVasWXbp04aOPPrIhmfgUY2DaNGt67Fi44AJ784iUERdmjfUYFvFXXnVxeExMDB988AFffPGFe16lSpWYOXMmXbp0oVy5cixZsoSbb76ZhQsXctttt+W6ntTUVFJTU92vjx8/7vHs4mXWrYO4OKu16ZzWSxHxnEZZ4922phDxnCK3OE2YMCHXi7XPHjZt2lTkID/99BP9+/fnqaeeomfPnu75YWFhPPzww1x66aV07NiRSZMmcd999/Hss8/mua6pU6cSGhrqHlrqYa1lz+zZ1vjWW6FGDXuziJQhrsJpj50hRDyoyC1OI0eOZGABz/GKLOLjKrZv384VV1zB8OHDeeKJJwpcvlOnTrzxxht5vj9u3DhGjRrlfr1//34VT2XJgQPgOp07YoS9WUTKmMiscTyQgdVNgYg/KXLhFBYWRlhYWIkF+Omnn7jiiisYMmQIkydPLtRnYmNjqVOnTp7vO51OnE6n+3VKSsp55xQfMncunDkDXbpA+/Z2pxEpUyKwuiRIx+qSINLWNCIlz6PXOMXHx3P06FHi4+PJyMggLi4OgCZNmlCpUiV++uknunfvTq9evRg1ahRJSUkABAQEULNmTQAWLlxI+fLlad++PeXKleOzzz7j5ZdfZvr06Z6MLr4qMRFmzrSmH3rI1igiZVEA0AbYAnwIjLE3jkiJ82jh9NRTT7Fw4UL36/ZZ//tftWoV3bp148MPP+Tw4cO88847vPPOO+7lGjZsyJ49e9yvn3nmGfbu3UtAQADNmjXjzTffzPPCcCnjHnsMTp6ETp3ghhvsTiNSJo0EhgIvAQ9i9e8k4i8cxhhjdwhP27dvH/Xr1ychIYF6epir/9q0CS65xJr+/nu47DJ784iUUalYF4knAguB2+2NI2VAaf6d97p+nESKxZi/T83ddpuKJhEbOYEHsqZnYD23TsRfqHAS35eRAU8/Dd99BxUrwtSpdicSKfPuASph9SD+ic1ZREqSCifxbVu3QlQUjB9vvX7iCdDpWBHbVQXuzZq+HfjevigiJUqFk/im1FSrWLr4Yti4EUJD4fXXrceriIhXeBroBZzEem7dNnvjiJQIr3rkikihbN0KAwfC9u3W62uvhf/8ByIibI0lItk5gcVATyAGq4hah/p2Et+mFifxLZmZfxdNtWrBhx/C4sUqmkS8VAjwBVbfTonANHvjiJw3tTiJb/nsM6toqlLFanmqVcvuRCJSgGrAeOBGYKPNWUTOl1qcxHcY8/cdcyNGqGgS8SEXZ423Aml2BhE5TyqcxHesWQPr14PTCQ8+aHcaESmCSKw77dKBn2xNInJ+VDiJ73C1Ng0dCrVr25tFRIrEwd+tTlvsDCJynlQ4iW+YOhWWLoVy5eCRR+xOIyLF0CFrvNrWFCLnR4WTeL+ZM62H9wJMmwaNG9ubR0SK5bqs8cfAcTuDiJwHFU7i3f7zHxg92pqeOBHGjLE3j4gUWyegGXAK+MjmLCLFpcJJvNfrr8PIkdb0Y4/Bk0/am0dEzosDiM6aXmBfDJHzosJJvNPbb8Pdd1vTo0fDM8+Aw2FvJhE5b7dj/eFZA/xmcxaR4lDhJN4nPR3uu8/qt2nkSHjuORVNIn6iLtYjWADetDOISDGpcBLv88MPcPw4VKsGL72koknEzwzPGr+BOsMU36PCSbzPunXWOCrK6n5ARPxKPyACOIT1EGARX6K/SuJ9YmKscVSUvTlExCPK83er0yt2BhEpBhVO4n3ObnESEb80HAjAukh8m81ZRIpChZN4lz//hPh4a/rSS+3NIiIeUxfonzU9y84gIkWkwkm8S2qqNXY4oHJle7OIiEc9lDVeCBy0MYdIUahwEu9ijDXWnXQifu8fwGVAKmp1Et+hwkm8i6tw0t10In7PAfw7a3oOcMLGLCKFpb9O4l3U4iRSpvQHmgB/og4xxTeocBLvcfIkjB1rTYeE2JtFREpFAJD1GG9eAjJtzCJSGCqcxDv8/LN1F93bb0NAAEyfbnciESklg4HKwO9Y3ROIeDMVTmK/d9+FSy6B7duhTh34+mu46y67U4lIKQkBbsma1uk68XYqnMRe06fDrbdap+muvBJiY+Gf/7Q7lYiUsqFZ44+AFDuDiBRAhZPY5913/76m6bHHYOlSqF3b3kwiYotLgWbAX8D/bM4ikh8VTmKPNWvgjjus6VGjYPJk69omESmTHMB1WdOf2phDpCAeLZwmT55M586dqVixIlWrVs11GYfDkWOYO3dutmW2bt1K165dCQ4Opm7dukyaNAnjum1dfM8vv8C110JaGtxwAzz3nN2JRMQLXJs1/gKrU0wRbxToyZWnpaVx0003ERUVxbx58/Jcbv78+fTp08f9OjQ01D2dkpJCz5496d69Oxs3bmTHjh1ER0cTEhLC6NGjc1udeLODB+Gqq6xn0kVFwVtvqbNLEQGs03V1gERgFdAn/8VFbOHRwmnixIkALFiwIN/lqlatSnh4eK7vvfPOO5w+fZoFCxbgdDpp3bo1O3bsYObMmYwaNQqHOkr0HZmZcOONsGcPNGkC//0vBAfbnUpEvEQ5rA4x5wL/RYWTeCev+K/+yJEjCQsL45JLLmHu3LlkZv7dBVpMTAxdu3bF6XS65/Xu3ZsDBw6wZ88eG9JKsb37LqxdC5UqwZdfQs2adicSES/TM2u8ydYUInnzaItTYTz99NNceeWVBAcHs3LlSkaPHs0ff/zBE088AUBSUhKRkZHZPlM7686rpKQkGjVqlGOdqamppKb+fYb8+PHjntsAKZyzewV//HFo2tTePCLilVpnjX/C6kXcK/53L3KWIv9MTpgwIdcLus8eNm0q/P8VnnjiCaKiorjooosYPXo0kyZN4rlzLhY+93Sc68LwvE7TTZ06ldDQUPfQsmXLIm6llLjp02H/fmjUCB56yO40IuKlLgCcWN0S7LY5i0huitziNHLkSAYOHJjvMue2EBVFp06dSElJ4eDBg9SuXZvw8HCSkpKyLXPo0CHg75anc40bN45Ro0a5X+/fv1/Fk5327v37zrkZM6BCBXvziIjXCgAuBOKAbViFlIg3KXLhFBYWRlhYmCeyABAbG0uFChXc3RdERUXx2GOPkZaWRlBQEADLli0jIiIizwLN6XRmuyYqJUX90NrGGHj4YTh9Grp1g+uuK/AjIlK2teLvwqm/vVFEcvDoNU7x8fEcPXqU+Ph4MjIyiIuLA6BJkyZUqlSJzz77jKSkJKKioggODmbVqlU8/vjj3HXXXe7CZ9CgQUycOJHo6Ggee+wxdu7cyZQpU3jqqad0R50vePdd+OQTCAyEl14CHTMRKUCrrPEvtqYQyZ1HC6ennnqKhQsXul+3b98egFWrVtGtWzfKly/PnDlzGDVqFJmZmTRu3JhJkyYxYsQI92dCQ0NZvnw5I0aMoGPHjlSrVo1Ro0ZlOxUnXiohAVzHcvx4aNvW3jwi4hNaZI1VOIk3cpgy0AX3vn37qF+/PgkJCdSrV8/uOGVDZib06gUrV8Jll1ndEATafhOniPiAn4GWQCWsB/6qnVoKUpp/53Wnp3jGf/5jFU3BwfB//6eiSUQKrQnW6ZATwAGbs4icS4WTlLwDB+Df/7amn3sOmjWzN4+I+JTy/H033c92BhHJhQonKXkrV1p30V10Edx7r91pRMQHuR7CddTWFCI5qXCSkvf999b4iiv0AF8RKZaArHFmvkuJlD79VZOS5yqcOnWyN4eI+CzXH6cMW1OI5KTCSUrWqVPwww/WtAonESkmtTiJt1LhJCVr5UrIyICICFDXDyJSTK4/TmdsTSGSkwonKTl798Kdd1rT/furl3ARKbb6WeM4O0OI5EKFk5SMkyfh2mvh8GHrbjrXQ31FRIrhqqzx54Df99IsPkWFk5SMYcMgLg5q1oT//hdCQuxOJCI+rAcQBPwO/GpzFpGzqXCS87d2Lbz/vtU7+McfQ4MGdicSER9XCeiSNb3OziAi51DhJOdv2jRrPHQoXH65vVlExG80zRrH25pCJDsVTnJ+fvwRvvjC6uhyzBi704iIH3FdIK7CSbyJCic5P88+a41vvBGaNLE3i4j4FddJ/wRbU4hkp8JJim/PHuvaJoBHH7U1ioj4H7U4iTdS4STFN2+e1dlljx5w8cV2pxERP+MqnBJQlwTiPVQ4SfEYA4sWWdN33GFvFhHxS3Wyxn8Bx+0MInIWFU5SPLGxsHMnVKgAffvanUZE/FAIUDlrOtHOICJnUeEkxeNqbbrmGqhcOf9lRUSKydXqpMJJvIUKJyk6Y+CDD6zpgQPtzSIifs1VOCXZmkLkbyqcpOh++cW6oy44GK6+2u40IuLHwrPGanESb6HCSYpuyxZr3L49VKxobxYR8Wu1s8aHbE0h8jcVTlJ0mzdb4w4d7M0hIn7PVTgdtDWFyN9UOEnRuVqc1HeTiHiYCifxNiqcpGgyM62uCECFk4h4XK2ssQon8RYqnKRotm6FlBTrwvALL7Q7jYj4OV3jJN5GhZMUzX//a4179oTy5e3NIiJ+r3rW+E9bU4j8TYWTFI2rcOrf394cIlImuAqnE0CanUFEsqhwksJLSLAuDHc44F//sjuNiJQBoYAja1qtTuINVDhJ4S1ZYo07d4ZatfJfVkSkBAQAVbOmj9qYQ8RFhZMUjjGwYIE1fe21diYRkTKmWtZYLU7iDTxaOE2ePJnOnTtTsWJFqlatmuP9BQsW4HA4ch0OHbLuodizZ0+u73/11VeejC7nWr0aNm2CChVgyBC704hIGRKSNT5pawoRS6AnV56WlsZNN91EVFQU8+bNy/H+zTffTJ8+fbLNi46O5vTp09Q651TQihUraNWqlft19erVkVL03HPW+I47oGZNe7OISJniKpxO2ZpCxOLRwmnixImA1bKUm+DgYIKDg92vDx8+zNdff51rkVWjRg3Cw8NzzBcPMwZeeAG+/BLKlYNRo+xOJCJlTKWssU7ViTfwqmuc/u///o+KFSty44035nivX79+1KpViy5duvDRRx/lu57U1FRSUlLcw/Hjxz0V2b+lp8M998Do0dbr0aOhSRN7M4lImdM+a6wLNMQbeFXh9OabbzJo0KBsrVCVKlVi5syZfPTRR3z55ZdceeWV3Hzzzbz99tt5rmfq1KmEhoa6h5YtW5ZGfP9y7BhcfTW89prV/cDzz8P06XanEpEyyPVf6c+Bv+wMIkIxCqcJEybkeUG3a9i0aVORg8TExLB9+3buvPPObPPDwsJ4+OGHufTSS+nYsSOTJk3ivvvu49lnn81zXePGjSM5Odk9bN++vch5yrTffoOoKFixAkJC4NNPrVN0DkeBHxURKWmXAA2wLg5Xq5PYrcjXOI0cOZKBAwfmu0xkZGSRg7zxxhtcdNFFdOjQocBlO3XqxBtvvJHn+06nE6fT6X6dkpJS5Dxl1nffWd0N/PEH1K0Ln38OF11kdyoRKcMcWK1OM4EPgevsjSNlXJELp7CwMMLCwko0xIkTJ/jggw+YOnVqoZaPjY2lTp06JZpBgCNHoE8fOHECOnSwOryMiLA7lYgIN2EVTp8BGVgdY4rYwaN31cXHx3P06FHi4+PJyMggLi4OgCZNmlCpUiX3cosWLeLMmTPceuutOdaxcOFCypcvT/v27SlXrhyfffYZL7/8MtN1vU3J+/JLq2hq0cLqtykkpODPiIiUgo5YLU8ngMOA7rEWu3i0cHrqqadYuHCh+3X79ta9EatWraJbt27u+fPmzeP666+nWrVq564CgGeeeYa9e/cSEBBAs2bNePPNN7nttts8Gb1s+vxza3zjjSqaRMSrBAK1gINAIiqcxD4OY4yxO4Sn7du3j/r165OQkEC9evXsjuOd0tMhLAxSUuD77+Gyy+xOJCKSTXsgDvgCuNreKOJlSvPvvFd1RyA2+vZbq2iqWRMuucTuNCIiObiubE20NYWUdSqcxPLFF9b4mmusHsJFRLyMCifxBvoLKZbly63xOc8OFBHxFjWyxsfsDCFlngongYMHYetWa/qKK+zNIiKSh8pZY/XMJ3ZS4STw9dfW+KKLrGucRES8UJWssZ4+KnZS4SSwcqU1vvJKe3OIiORDLU7iDVQ4CaxaZY1VOImIF3O1OKlwEjupcBJISrLGLVrYm0NEJB+hWWMVTmInFU5lXWYmnDplTau3cBHxYlWzxsdszCCiwqmscxVNoMJJRLyaq8XpmJ0hpMxT4VTWnTz593RwsH05REQKUDVrnAJk2JhDyjYVTmXd/v3WuGJF9RguIl6t6lnTx2zKIKK/lGWZMTB2rDWtji9FxMsFAfWzprfZGUTKNBVOZdmiRdajVpxOeOEFu9OIiBTo0qzxBltTSFmmwqmsOnYMHn7Ymn78cWjSxNY4IiKF4Sqc1tuaQsoyFU5l1RNPWP03NWsG//633WlERApFLU5iNxVOZdGaNTBnjjX9yivWqToRER/QEesPVwKQZHMWKZtUOJU1hw7BwIHWheHR0booXER8SiWgXtb0HhtzSNmlwqksycyE226DxES48EKYPdvuRCIiRRaeNU60NYWUVSqcypIpU6y76IKD4YMP1FO4iPikOlljnaoTO6hwKiu++QbGj7em58yB1q1tjSMiUlyuwkktTmIHFU5lwZIlcMMN1qm66GhrEBHxUSqcxE4qnPzZqVNw773Qvz8cPQqXXKLrmkTE5wVmjY2tKaSsUuHkr2JjoUMHmDvXej16NHz7ra5rEhGfdyJrXMnWFFJWBRa8iPiUzEzr8SnjxkF6OtSpA//3f9Cjh93JRERKxMmssf4bKHZQ4eRPDhyAIUNgxQrrdf/+8MYbEBZmby4RkRKkFiexkwonf5GaCl26wJ49VncDL74Iw4eDw2F3MhGREuUqnNTiJHZQ4eQvVq2yiqaaNa1HqrRoYXciERGPqJg1PpnvUiKeoYvD/cWSJdb4+utVNImIX4vIGqs7ArGDCid/YAx89pk13a+fvVlERDzM1Y/TAVtTSFmlwskfxMXBvn1QsaIe2isifs/V4qTCSezgscJpz5493HnnnTRq1Ijg4GAuuOACxo8fT1paWrbl4uPj6du3LyEhIYSFhfHAAw/kWGbr1q107dqV4OBg6taty6RJkzBGXZ8B1nVNo0db0716QYUKtsYREfE0tTiJnTx2cfgvv/xCZmYmr776Kk2aNGHbtm0MHz6ckydPMmPGDAAyMjK45pprqFmzJmvXruXIkSMMGTIEYwyzZs0CICUlhZ49e9K9e3c2btzIjh07iI6OJiQkhNGugqEsSk+HmTNh4kT46y8oXx4eeMDuVCIiHue6KFz/TRRbmFL07LPPmkaNGrlff/nll6ZcuXJm//797nnvvfeecTqdJjk52RhjzJw5c0xoaKg5ffq0e5mpU6eaiIgIk5mZWajvTUhIMIBJSEgooS2x2Zo1xrRqZYx1dZMx3boZ8/PPdqcSESkV/zHGYIzpa3cQ8Rql+Xe+VLsjSE5Opnr16u7XMTExtG7dmoiICPe83r17k5qayubNm+nevTsxMTF07doVp9OZbZlx48axZ88eGjVqlON7UlNTSU1Nzfa9AImJPn4PxtGjMHkyfPCB9bpaNXjqKesBvg6HdZ2TiIifi3U6wemkTmoq+876XS9ll+vve0pKCsYYHJ7sw9DjpVmWXbt2mSpVqpjXX3/dPW/48OGmZ8+eOZYNCgoy7777rjHGmJ49e5rhw4dne3///v0GMOvWrcv1u8aPH2+wnv+oQYMGDRo0aChDg+uMlacUucVpwoQJTJw4Md9lNm7cSMeOHd2vDxw4QJ8+fbjpppsYNmxYtmVzqwrNOdXiucuYrAvD86oox40bx6hRo9yvjx49SqNGjdi2bRuhoaH5Zi+Ljh8/TsuWLdm+fTuVK1e2O45X0j7Kn/ZP/rR/CqZ9lD/tn/wlJyfTunVr9uzZ4/H9U+TCaeTIkQwcODDfZSIjI93TBw4coHv37kRFRfHaa69lWy48PJz169dnm/fnn3+Snp5O7dq13cskJSVlW+bQoUMA7mXO5XQ6s53ac6lfvz5VqlTJN3tZlJKSAkDdunW1f/KgfZQ/7Z/8af8UTPsof9o/+XPtk2rVqnn2NB3FKJzCwsIIK+RDY/fv30/37t3p0KED8+fPp1y57L0fREVFMXnyZBITE6lTx7rBdNmyZTidTjp06OBe5rHHHiMtLY2goCD3MhEREdkKNBERERFP81g/TgcOHKBbt27Ur1+fGTNmcPjwYZKSkrK1HvXq1YuWLVsyePBgYmNjWblyJY888gjDhw93V4+DBg3C6XQSHR3Ntm3b+OSTT5gyZQqjRo3yeFUpIiIicjaP3VW3bNkydu3axa5du6hXr16291zXKAUEBPDFF19w33330aVLF4KDgxk0aJC7nyeA0NBQli9fzogRI+jYsSPVqlVj1KhR2a5hKojT6WT8+PG5nr4T7Z/C0D7Kn/ZP/rR/CqZ9lD/tn/yV5v5xGKMuuEVEREQKQ8+qExERESkkFU4iIiIihaTCSURERKSQVDiJiIiIFJJfF06RkZE4HI4cw4gRI+yO5hXOnDnDE088QaNGjQgODqZx48ZMmjSJzMxMu6N5jePHj/PQQw/RsGFDgoOD6dy5Mxs3brQ7lm3WrFlD3759iYiIwOFw8Omnn2Z73xjDhAkTiIiIIDg4mG7duvHTTz/ZE9YGBe2fxYsX07t3b8LCwnA4HMTFxdmS0y757Z/09HQeffRR2rRpQ0hICBEREdx+++0cOHDAvsA2KOhnaMKECbRo0YKQkBCqVatGjx49cnQk7c8K2j9nu/vuu3E4HLz44oslmsGvC6eNGzeSmJjoHpYvXw7ATTfdZHMy7zB9+nTmzp3L7Nmz+fnnn3n22Wd57rnnmDVrlt3RvMawYcNYvnw5b731Flu3bqVXr1706NGD/fv32x3NFidPnqRdu3bMnj071/efffZZZs6cyezZs9m4cSPh4eH07NmT48ePl3JSexS0f06ePEmXLl2YNm1aKSfzDvntn1OnTrFlyxaefPJJtmzZwuLFi9mxYwf9+vWzIal9CvoZatasGbNnz2br1q2sXbuWyMhIevXqxeHDh0s5qT0K2j8un376KevXryciIqLkQ3j0SXhe5sEHHzQXXHCByczMtDuKV7jmmmvM0KFDs827/vrrzW233WZTIu9y6tQpExAQYD7//PNs89u1a2cef/xxm1J5D8B88skn7teZmZkmPDzcTJs2zT3v9OnTJjQ01MydO9eGhPY6d/+cbffu3QYwsbGxpZrJm+S3f1w2bNhgALN3797SCeVlCrOPkpOTDWBWrFhROqG8SF77Z9++faZu3bpm27ZtpmHDhuaFF14o0e/16xans6WlpfH2228zdOhQ9Tie5R//+AcrV65kx44dAPzwww+sXbuWq6++2uZk3uHMmTNkZGRQoUKFbPODg4NZu3atTam81+7du0lKSqJXr17ueU6nk65du7Ju3Tobk4mvSk5OxuFwULVqVbujeKW0tDRee+01QkNDadeund1xvEJmZiaDBw9mzJgxtGrVyiPf4bGew73Np59+yrFjx4iOjrY7itd49NFHSU5OpkWLFgQEBJCRkcHkyZO55ZZb7I7mFSpXrkxUVBRPP/00F154IbVr1+a9995j/fr1NG3a1O54Xsf1OKVzH75du3Zt9u7da0ck8WGnT59m7NixDBo0SA+1Pcfnn3/OwIEDOXXqFHXq1GH58uWFfoasv5s+fTqBgYE88MADHvuOMtPiNG/ePK666irPnO/0UYsWLeLtt9/m3XffZcuWLSxcuJAZM2awcOFCu6N5jbfeegtjDHXr1sXpdPLyyy8zaNAgAgIC7I7mtc5t0TXGqJVXiiQ9PZ2BAweSmZnJnDlz7I7jdbp3705cXBzr1q2jT58+DBgwgEOHDtkdy3abN2/mpZdeYsGCBR79nVMmCqe9e/eyYsUKhg0bZncUrzJmzBjGjh3LwIEDadOmDYMHD+bhhx9m6tSpdkfzGhdccAGrV6/mxIkTJCQksGHDBtLT02nUqJHd0bxOeHg4QLYHeQMcOnQoRyuUSF7S09MZMGAAu3fvZvny5WptykVISAhNmjShU6dOzJs3j8DAQObNm2d3LNt9++23HDp0iAYNGhAYGEhgYCB79+5l9OjRREZGltj3lInCaf78+dSqVYtrrrnG7ihe5dSpU5Qrl/1HICAgQN0R5CIkJIQ6derw559/snTpUvr37293JK/TqFEjwsPD3XevgnUNxurVq+ncubONycRXuIqmnTt3smLFCmrUqGF3JJ9gjCE1NdXuGLYbPHgwP/74I3Fxce4hIiKCMWPGsHTp0hL7Hr+/xikzM5P58+czZMgQAgP9fnOLpG/fvkyePJkGDRrQqlUrYmNjmTlzJkOHDrU7mtdYunQpxhiaN2/Orl27GDNmDM2bN+eOO+6wO5otTpw4wa5du9yvd+/eTVxcHNWrV6dBgwY89NBDTJkyhaZNm9K0aVOmTJlCxYoVGTRokI2pS09B++fo0aPEx8e7+yb69ddfAau1ztVi58/y2z8RERHceOONbNmyhc8//5yMjAx362X16tUJCgqyK3apym8f1ahRg8mTJ9OvXz/q1KnDkSNHmDNnDvv27Ssz3ewU9G/s3GK7fPnyhIeH07x585ILUaL36HmhpUuXGsD8+uuvdkfxOikpKebBBx80DRo0MBUqVDCNGzc2jz/+uElNTbU7mtdYtGiRady4sQkKCjLh4eFmxIgR5tixY3bHss2qVasMkGMYMmSIMcbqkmD8+PEmPDzcOJ1O889//tNs3brV3tClqKD9M3/+/FzfHz9+vK25S0t++8fVRUNuw6pVq+yOXmry20d//fWXue6660xERIQJCgoyderUMf369TMbNmywO3apKejf2Lk80R2BwxhjSq4MExEREfFfZeIaJxEREZGSoMJJREREpJBUOImIiIgUkgonERERkUJS4SQiIiJSSCqcRERERApJhZOIiIhIIalwEhERESkkFU4iIiIihaTCSURERKSQVDiJiIiIFJIKJxEREZFC+n9j0VP9nLwiDQAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# temperature and salinity\n", - "fig,axs = ChartTwoSensors(profiles, [ranges['temperature'], ranges['salinity']], profile_list, \n", - " d['temperature'][0], d['temperature'][1], 'Temperature', colors['temperature'], 'ascent',\n", - " d['salinity'][0], d['salinity'][1], 'Salinity', colors['salinity'], 'ascent', 6, 4)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "a10605ea-57a9-4d9e-a593-e36483d06eee", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Attempting 12 charts\n", - "\n" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# density and pressure\n", - "fig,axs = ChartTwoSensors(profiles, [ranges['density'], ranges['pressure']], profile_list, \n", - " d['density'][0], d['density'][1], 'Density', colors['density'], 'ascent',\n", - " d['pressure'][0], d['pressure'][1], 'Pressure', colors['pressure'], 'ascent', 6, 4)" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "ff9ad8cd-eb68-483b-a565-d0299beb91eb", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Attempting 12 charts\n", - "\n" - ] - }, - { - "data": { - "image/png": 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t20qtWrVk8uTJIiJy584dASC//vqriGgOMqVKlZJOnTrpxZGcnCy1a9fW+1LT/p1OmDAh29ujPaiNHj063SQwJ5KSkiQxMVFatmwpb775pt4ybXLboEEDOX36dLoH6PTa1tbWVkaPHp2tz3dzc8vyn77UkpOTJTExUX7//XcxNTWVR48e6ZYFBAQIADl27Jjee7y8vKRNmza6159++qmoVKo0x8NWrVplmXBGRUUJAOnVq1e2Y/b09BRLS0u9v98XL15IqVKlZOjQobqy1H87ycnJ4urqKj4+PrrjnohIbGysODk5SePGjXVlGe1LO3fuFADy3Xff6ZVr/9a1+602zozaxd7eXp49e6YXZ/v27fXqrV27VgBIUFCQriw7x0KRvCecU6ZMEQCyc+dOERG5efOmqFSqdL+002NtbS0ffPCBXllycrI4Ozun+efi1q1bYm5unm7CWalSJb2ESyT732mFdZxPT24STm1ipaX952jFihW6suzuU9OnTxcTE5M0eY42d9m+fbtePA4ODnp/+5nR/gNdokQJuXDhQrpJYHalpKRIYmKiHDx4UADI2bNn9ZZnNz94dd/R/n6z84/CokWLBIBcvnw52zHn+7RIksVlA19fX1hYWOD999/H8uXLcfPmzTR1GjRogCdPnqB3797466+/8ODBgzR19u/fj5YtW8LDw0OvfMCAAXj+/HmmA5Xee+89vHjxAmvWrNGVLV26FGq1Gn369AEA3LhxA1euXEHfvn0BAElJSbpH+/btERkZqbtkc+DAAbRs2VLXbxUATE1N87XDt4ik6ZrwySefoEOHDujduzeWL1+OuXPnwsfHR6/ORx99hHv37mHdunUAgJSUFMyfPx8dOnTQnUo/ePAgAKBHjx567+3WrRvMzPS7+f79999o3rw5XF1d9dqkXbt2euvS6tChA0xNTXWva9WqBQC4detWptsbEREBAHByckp3eUbtfePGDYSHh2e67uz4+++/UaJECXTq1ElvO319feHs7Jwvo3efPXuGY8eOoVu3brC1tdWVm5qaol+/fggPD9ftYy1btsSLFy9w5MgRAJrL5K1atcIbb7yBPXv26MoA4I033gAAHDlyBI8ePUL//v31tiElJQVt27bFiRMn0lwievvtt7Mdf5MmTTBt2jT88MMPGDZsGN555500A1Re/dykpCS948OCBQtQt25dWFpawszMDObm5ti3bx8uX76st47SpUtjzZo1OH36NBo3boxy5cpl61JOgwYNsGzZMkydOhVHjx7NtIuLk5NTtgZ2BAcHo3PnzihdujRMTU1hbm6Od999F8nJybh27ZpeXWdnZzRo0ECvrFatWnr7/oEDB1CzZk3Url1br572OFQQfH19Ua5cOd1rS0tLVK1aNdO/yatXryIiIgL9+vWDicnLrw1bW1u8/fbbOHr0qF6XKCDtvqQdmJW6i0737t1hY2OTpptHRu0SExOTZoRs6m4D6R1nsnMszK6M9msR0V1Gb9WqFQCgQoUKaNasGTZs2ICYmJhM1/vkyRM8f/48zXHv6tWriIqKSnOMLleuHJo0aZLuujp37gxzc3Pd65x8pxXWcT6/aLdJq0ePHjAzM9N1I9DKzj71999/w9vbG76+vnrb3qZNm3RnbmjRogVKliyZrThVKhV+//132NnZwc/PDyEhIVi7di1sbGx0dVJSUvQ+Nzk5Wbfs5s2b6NOnD5ydnXXHn4CAAABIc9zMTn6QWv369QFo2m/t2rWZHhO1+2hOBsTla8L57NkzPHz4EK6urhnWqVSpEvbu3QsnJyeMGDEClSpVQqVKlfDjjz/q6vTr1w+//fYbbt26hbfffhtOTk5o2LCh7osVAB4+fAgXF5c069d+9sOHDzOMoWbNmqhfvz6WLl0KQNOhesWKFejSpQtKlSoFALh79y4AYNy4cTA3N9d7DB8+HAB0ifDDhw/h7Oyc5nPSK0tNe+APCQnJtN6tW7fSJNcqlQoDBgxAXFwcnJ2d9fpmaNWpUwdNmzbFL7/8AkDzxxQaGqo3rZC2rV5N4ADAzMwMpUuX1iu7e/cutm7dmqZNatasCQBp/jlI/X5tP7MXL15kur3a5ZaWlukuz6y9M/vdZ9fdu3fx5MkTWFhYpNnWqKiodP8JyqnHjx9DRLK1Hzdu3BjW1tbYu3cvbty4gdDQUF3CeezYMTx9+hR79+5FxYoVUaFCBd02AJp/HFJvw7fffgsR0ZsyB0C6sWSmb9++sLCwQHx8PD755BO9ZaGhoWk+V/tFNXv2bAwbNgwNGzbEhg0bcPToUZw4cQJt27ZNd99o2LAhatasibi4OAwbNkzvAJ2RNWvWoH///li8eDH8/f1RqlQpvPvuu4iKikpT19LSMst98vbt22jatCnu3LmDH3/8Ef/88w9OnDih+9tK/f7U+z6g2f9frZeXY4ejoyOsra2zPHaklp24UtPuhxntqykpKXj8+LFeeeq6Dx8+hJmZGcqUKaNXrlKp4OzsnObvNid/49k5zmTnWJhdqfdrbb+9/fv3IyQkBN27d0dMTAyePHmCJ0+eoEePHnj+/DlWrVqV6XozOu5ldIzOqAxI2/45+U4rrON8fkm9r2i/u3KzT929exfnzp1Ls+12dnYQkTTbntNjZunSpdG5c2fExcWhbdu2aZLA9957T+9zW7ZsCQB4+vQpmjZtimPHjmHq1KkIDAzEiRMndDPYpG7r7OQHqb3++uvYvHkzkpKS8O6778Ld3R3e3t7p7rfafTQnv+NcjVLPyLZt25CcnJzuoIxXNW3aFE2bNkVycjJOnjyJuXPnYvTo0Shbtix69eoFABg4cCAGDhyIZ8+e4dChQ5g4cSI6duyIa9euwdPTE6VLl0ZkZGSadWvPjDk6OmYaw8CBAzF8+HBcvnwZN2/eRGRkJAYOHKhbrn3/+PHj8dZbb6W7jmrVqgHQ7EDpfYmlV5aai4sLatasid27d2c4kjMoKAh3795F9+7d9cojIyMxYsQI+Pr64uLFixg3bly6HaBHjRqF7t274/Tp0/j5559RtWpV3X/f2vgBzR+am5ubrjwpKSnNH6yjoyNq1aqFadOmpbs9mf2zkRPa9n/06FG6f9CZtXd6X6halpaWiI6OTlOe+iDi6OiI0qVLZzjCNz+maSpZsiRMTEyytR9bWFjgtddew969e+Hu7g5nZ2f4+PjoZi0IDAzEvn379Ob807537ty5GY7gTv1llZNRscnJyejbty9KliwJtVqNQYMG4d9//4WFhQUAzb5w4sQJvfdo/2ZWrFiBZs2aYf78+XrLMxosM3HiRJw/fx716tXDhAkT0LFjxyxnbHB0dMQPP/yAH374Abdv38aWLVvw2Wef4d69e2l+r48ePcryLNfmzZvx7NkzbNy4EZ6enrryM2fOZPq+zOTl2GFqaoqWLVtix44dCA8PL9DZQLR/UxntqyYmJmnO8qTel0qXLo2kpCTcv39fL+kUEURFRenOrmjl9m88M1kdC7Mr9X6t/SdPO/Bj9uzZmD17dpr3LVmyBEOHDs1wvdrtSv2P4KvH6NQy2ldSt39OvtMK6zifHm0iEx8fr1ee2YmEqKiodL+7Uu8n2dmnHB0dYWVlleFAutS5RU5nEtizZw/mz5+PBg0aYNOmTdiwYYPe1YBJkybp/ROk/a7Zv38/IiIiEBgYqDurCSDNgDut7OYHqXXp0gVdunRBfHw8jh49iunTp6NPnz4oX748/P39dfW0+2hWuZaebF98l8z7cN66dUs3yOTevXu68tR9ONPz5MkTAaDXcTu1zZs3CwDZtm2biGgGuVhaWsqdO3f06nXo0CHLPpwiIo8fPxZLS0v53//+J926dRM3Nze9vkkiIlWqVEnTNyg9eenDKSLy559/CgAZNmxYmmVPnz4VPz8/sba2lv/++09v/QEBAVK2bFmJjIzU9b1I3edQW7dcuXLSrFkzUalU8sMPP+gtv3DhggCQ//3vf3rl6fXhHDx4sLi6umbZZ0Xb7q92xtZCNvpDHTp0SK9zder3Z9TelSpV0pWl14dz6NChUqpUKb0BCg8ePJCSJUvq9WVZsWJFhn1Icyu9fdHf31+cnZ31BiElJyeLj4+PXh9OEZHvvvtONyjv1T6MTZs2ldatWwsAWbt2ra48NjZWSpQoke5+lZr27/T+/fvZ3p4vvvhCTExMZO/evRIUFCTm5uZ6A/syU7duXb2+jCIiZ8+eFRMTE73fg4jI7t27xcTERCZMmCCPHj2ScuXKiZ+fn15fvMz6fb2qa9euUqZMGb2yxMREsba2TtMPLLWffvpJAEhkZKSuLCUlRRo0aJBuX+GaNWumWUfqPlN56cMpounkb2pqKm3bttVrD62EhATZsmWL7rWnp6d06NAhTb3U/RbT68Pp5uYmvr6+evvk06dPxcnJSZo0aaIry2hf2rVrlwCQ2bNn65WvW7dOAMiiRYv04syoXezs7NL04Xx1sKBIxvtDVsfC9NpCJHvHrEePHomlpaU0adJEDhw4kOahHaBy/vz5TNdTsWLFNP2Yc9OHM71jb3a/0wrrOJ+elJQUsbS0lOHDh+uVL1myJMd9OP/44w9dWXb3qalTp4q1tbXcvHkzy1gByIgRI7K9bREREeLk5CTNmzeXpKQk6dy5szg4OGTrs7Zs2ZKmX7KISLdu3dLs69nND1Ifj9Jz5swZASC//PKLXvm0adPExMQk2/1XRXI5aGjp0qUSFBQk//zzj2zYsEFGjx4tDg4OUqpUKdm/f7/ee1InnPPnz5fu3bvLsmXLZP/+/bJ9+3Zdg+3atUtENDv7hx9+KKtXr5aDBw/KmjVrxNfXVy+Z1Y5Sr1q1qqxYsUJvxNmrndIz+yLq3bu3ODk5iYWFhXz++edplu/fv1/UarW0bt1a/vzzTzl48KBs2rRJvvnmG+nWrZuu3vnz58XKykq8vLxk9erVsmXLFmnTpo14eHhkK+EUERk3bpwAkHbt2sm6devk0KFDsmjRIvHy8hK1Wp1mR3n1y16rU6dOUqJEiXR3Xm0HYhsbm3Q7BPfu3VtMTU1l/PjxsmfPHr1R6q+OwI2IiBBPT0+pXr26zJs3T/bt2yfbtm2TX375RTp06CBhYWF67Z7bA1F8fLxYWVnJ+PHj031/RqPUXx2BnF7CefjwYQEg3bp1k127dsmff/4pvr6+aUZ6JiUlSbt27aRUqVIyefJk2bFjh+zdu1eWLVsm/fv3l40bN+rqvvp3kZnMRqk3bNhQ1q1bp5vhIPUodRGRU6dOCQAB9Ec6T548WQCISqWSBw8e6L3njz/+EBMTE+nZs6esW7dODh48KOvXr5evvvpKb2BCThNObRL46u9Re1B7tW0yMmHCBFGpVDJhwgTZt2+fzJs3T5ydnaVSpUp6v4dXD9Dafwi1ye1HH32kq5e6bZ88eSJ16tSR77//XrZu3SqBgYHy/fffi6WlpfTp00cvFm27vpqYpefy5ctiYWEhzZo1k+3bt8vGjRulVatWUqVKlVwnnJGRkVKmTJk0o9S1x46sEk4RkV9//VXMzMzE29tbfvnlFwkMDJQ9e/bId999J5UrV5auXbvq6uY24RR5+SXevn17+euvv2Tt2rVSv379DEepp96XtKPUzc3NZdKkSbJnzx6ZNWuW2NraZjlKfceOHbrj+6uzkOQ04RTJ+liY24Rz7ty5AkDWrFmT7vJz584JgCwHsr333nvi4uKSpvzVUerbtm3TjVIvV66cVKhQQVcvs2Nvdr/TCuI4r6376gmMjAwePFgsLS1l1qxZsnfvXvnmm2/E29s7w4RTO0p99+7dMmfOHLG1tZXatWvr/ROW3X3q6dOnUqdOHXF3d5dZs2bJnj17ZNeuXbJo0SLp3r273kmInCScqZNAEdH9A12/fv10/2F8lfbESO3atXUzjvTq1Ut3/Hl1X89ufpD6ePTVV1/JwIEDZcWKFbqZPZo3by7m5uZpRt936tRJb1af7MhVwql9WFhYiJOTkwQEBMg333yjd2ZTK3XCGRQUJG+++aZ4enqKWq2W0qVLS0BAgN7Bfvny5dK8eXMpW7asWFhYiKurq/To0SPNCKvz589Lp06dxMHBQSwsLKR27dppDjCZHXh2796t25Zr166lu81nz56VHj16iJOTk5ibm4uzs7O0aNFCFixYoFfv33//lUaNGolarRZnZ2f55JNP5Ndff812wikisn37dmnfvr2ULl1azM3Nxc3NTfr166cbEfhq3Km/7EU0U3xktPOGhoYKgDSjH7Xi4uJk7Nix4uTkJJaWltKoUSMJCgoSBweHNP893r9/X0aNGiUVKlQQc3NzKVWqlNSrV0+++OIL3Wi7/PjPt1+/fuLl5ZXu+0eMGCHz5s2TSpUqibm5uVSvXl1WrlypVy+9L00Rzf5Vo0YNsbS0FC8vL1mzZk26/+klJibKzJkzpXbt2mJpaSm2trZSvXp1GTp0qFy/fl1XT/tFox2VmpGM9sV//vlHWrRoITY2NmJlZSWNGjWSrVu3pnl/SkqKODo6CgC9M/v//vuvAMjwj//gwYPSoUMHKVWqlG6/6tChg96XdE4STm0S2KJFC72rAikpKbqDWlb7fHx8vIwbN07c3NzE0tJS6tatK5s3b9b7PaR3gNb6/vvvdSMwRdK2bVxcnHzwwQdSq1Ytsbe3FysrK6lWrZpMnDhRdyZD66uvvhJHR0e9hCcjW7du1e0Pbm5u8sknn8iOHTtynXCKaGbIaNWqlVhaWkqpUqVk0KBB8tdff2U74RTRnIXo37+/lCtXTiwsLHTTwkyYMEHvuJyXhFNEc6WpYcOGYmlpKTY2NtKyZUu9ablEMt+XXrx4IZ9++ql4enqKubm5uLi4yLBhw3RT4qWOc/369VKzZk2xsLCQ8uXLpzk7mpuEM6tjYW4TTl9f3zSj4FNr1KiRODo6Zlpn3759AkCOHz+eZtmvv/4qlStXFgsLC6latar89ttv0qVLF6lTp46uTmbHXpHsf6fl93H+/PnzAmQ9I4uISHR0tAwePFjKli0rNjY20qlTJ93vLb2E89SpU9KpUyextbUVOzs76d27t9y9e1dvndndp0Q0SeeXX34p1apVEwsLC3FwcBAfHx8ZM2aM3pW1nCSc2iRw3759euVHjhwRMzMzvX+gM3LkyBHx9/cXa2trKVOmjAwePFhOnz6tt6/nJD9IfTz6+++/pV27duLm5qbL79q3b6/3D6WI5uqZtbW1zJo1K1vbrpWjhJOMl/ZyYGZzhKWmTWRSJ3KFRTsFUX5e1i4I3bt3Fz8/P6XDoFxISkqS8uXLp3uFg5STUWKcH3JzLCxsPj4+GSbEr3r8+LGUKVNGhgwZUghR5c0vv/wiNjY2eglbXuXkH+WC3KeKm8WLF4uNjU2OLqeLiOTroCEyPMHBwQgJCcGUKVPQpUsX3SjD1Pbs2YOgoCDUq1cPVlZWOHv2LGbMmIEqVapk2MG8oPn5+aFHjx74+uuv8ffffysSQ1ZEBIGBgbr7JpNxWbFiBZ4+fZpmhD0VPdk9FhqC7777Dm+++Sa++OIL3WCwqKgoTJs2Dc2bN0fp0qVx69YtzJkzB7Gxsfjoo48UjjhrBw4cwKhRozIcVU/GISkpCd9++y3Gjx+f7emgtJhwFnFvvvkmoqKi0LRp00znLrS3t8fu3bvxww8/IDY2Fo6OjmjXrh2mT5+e4dREhWHWrFlYsmQJYmNj82VkeH5TqVS4d++e0mFQLqWkpGDlypUZ3j6Vio7sHgsNQdu2bfH9998jJCREl3Cq1WqEhoZi+PDhePToEaytrdGoUSMsWLDAoJNnLe38p2TcwsLC8M477+Djjz/O8XtVItm8wSsRERERUS7k+52GiIiIiIhexYSTiIiIiAoUE04iIiIiKlBMOImIiIioQDHhJCIiIqICxYQzC/PmzUOFChVgaWmJevXq4Z9//sm0/sGDB1GvXj1YWlqiYsWKBj/9Rk7lpD02btyIVq1aoUyZMrC3t4e/vz927dpViNEWrJzuG1r//vsvzMzM4OvrW7ABFrKctkd8fDy++OILeHp6Qq1Wo1KlSvjtt98KKdqCl9P2WLlyJWrXrg1ra2u4uLhg4MCBePjwYSFFW7AOHTqETp06wdXVFSqVCps3b87yPUX1WJrTtijqx9Hc7BtaRfVYWlQx4czEmjVrMHr0aHzxxRcIDg5G06ZN0a5dO9y+fTvd+iEhIWjfvj2aNm2K4OBgfP755xg1ahQ2bNhQyJEXjJy2x6FDh9CqVSts374dp06dQvPmzdGpUycEBwcXcuT5L6dtoRUdHY13330XLVu2LKRIC0du2qNHjx7Yt28flixZgqtXr2LVqlWoXr16IUZdcHLaHocPH8a7776LQYMG4eLFi1i3bh1OnDiBwYMHF3LkBePZs2eoXbs2fv7552zVL8rH0py2RVE+jgI5bw+tonosLdIK4rZHRUWDBg3S3F6sevXqGd4L9n//+59Ur15dr2zo0KHSqFGjAouxMOW0PdLj5eUlkydPzu/QCl1u26Jnz57y5ZdfysSJE6V27doFGGHhyml77NixQxwcHOThw4eFEV6hy2l7fP/991KxYkW9sp9++knc3d0LLEalAJBNmzZlWqeoH0u1stMW6Skqx9HUctIeRfVYWpTxDGcGEhIScOrUKbRu3VqvvHXr1jhy5Ei67wkKCkpTv02bNjh58iQSExMLLNbCkJv2SC0lJQWxsbEoVapUQYRYaHLbFkuXLsV///2HiRMnFnSIhSo37bFlyxb4+fnhu+++g5ubG6pWrYpx48bhxYsXhRFygcpNezRu3Bjh4eHYvn07RAR3797F+vXr0aFDh8II2eAU5WNpXhWV42heFNVjaVHHW1tm4MGDB0hOTk5z39eyZcsiKioq3fdERUWlWz8pKQkPHjyAi4tLgcVb0HLTHqnNmjULz549Q48ePQoixEKTm7a4fv06PvvsM/zzzz8wMytaf3a5aY+bN2/i8OHDsLS0xKZNm/DgwQPdLfuMvR9nbtqjcePGWLlyJXr27Im4uDgkJSWhc+fOmDt3bmGEbHCK8rE0r4rKcTS3ivKxtKjjGc4sqFQqvdcikqYsq/rplRurnLaH1qpVqzBp0iSsWbMGTk5OBRVeocpuWyQnJ6NPnz6YPHkyqlatWljhFbqc7BspKSlQqVRYuXIlGjRogPbt22P27NlYtmxZkTjLCeSsPS5duoRRo0ZhwoQJOHXqFHbu3ImQkBB88MEHhRGqQSrqx9LcKIrH0ZwoLsfSoor/HmTA0dERpqamac5I3Lt3L81/3lrOzs7p1jczM0Pp0qULLNbCkJv20FqzZg0GDRqEdevW4Y033ijIMAtFTtsiNjYWJ0+eRHBwMEaOHAlAk3CJCMzMzLB79260aNGiUGIvCLnZN1xcXODm5gYHBwddWY0aNSAiCA8PR5UqVQo05oKUm/aYPn06mjRpgk8++QQAUKtWLdjY2KBp06aYOnVqsTujV5SPpblV1I6juVHUj6VFHc9wZsDCwgL16tXDnj179Mr37NmDxo0bp/sef3//NPV3794NPz8/mJubF1ishSE37QFo/iMfMGAA/vzzzyLTHy2nbWFvb4/z58/jzJkzuscHH3yAatWq4cyZM2jYsGFhhV4gcrNvNGnSBBEREXj69Kmu7Nq1azAxMYG7u3uBxlvQctMez58/h4mJ/uHY1NQUwMsze8VJUT6W5kZRPI7mRlE/lhZ5yoxVMg6rV68Wc3NzWbJkiVy6dElGjx4tNjY2EhoaKiIin332mfTr109X/+bNm2JtbS1jxoyRS5cuyZIlS8Tc3FzWr1+v1Cbkq5y2x59//ilmZmbyyy+/SGRkpO7x5MkTpTYh3+S0LVIraiMrc9oesbGx4u7uLt26dZOLFy/KwYMHpUqVKjJ48GClNiFf5bQ9li5dKmZmZjJv3jz577//5PDhw+Ln5ycNGjRQahPyVWxsrAQHB0twcLAAkNmzZ0twcLDcunVLRIrXsTSnbVGUj6MiOW+P1IrasbQoY8KZhV9++UU8PT3FwsJC6tatKwcPHtQt69+/vwQEBOjVDwwMlDp16oiFhYWUL19e5s+fX8gRF6yctEdAQIAASPPo379/4QdeAHK6b7yqKB4kc9oely9fljfeeEOsrKzE3d1dxo4dK8+fPy/kqAtOTtvjp59+Ei8vL7GyshIXFxfp27evhIeHF3LUBePAgQOZHguK07E0p21R1I+judk3XlUUj6VFlUqkGF6vISIiIqJCwz6cRERERFSgmHASERERUYFiwklEREREBYoJJxEREREVKCacRERERFSgmHASERERUYFiwklEREREBYoJZx7Ex8dj0qRJiI+PVzoUg8D20Mf20Mf2eIltoY/toY/toY/tUTQU+4nf582bh++//x6RkZGoWbMmfvjhBzRt2jRb742JiYGDgwOio6Nhb29fwJEaPraHPraHPrbHS2wLfWwPfWwPfWyPoqFYn+Fcs2YNRo8ejS+++ALBwcFo2rQp2rVrh9u3bysdGhEREVGRUawTztmzZ2PQoEEYPHgwatSogR9++AEeHh6YP3++0qERERERFRlmSgeglISEBJw6dQqfffaZXnnr1q1x5MiRdN8THx+v14fk0aNHAICwsDA4ODgUXLBGIjY2FgBw584dxMTEKByN8tge+tgeL7Et9LE99LE99BlKe6SkpODu3buoU6cOzMyKbfqUa8W2xR48eIDk5GSULVtWr7xs2bKIiopK9z3Tp0/H5MmT05R7e3sXSIzGysvLS+kQDArbQx/b4yW2hT62hz62hz5DaY/jx4+jfv36SodhdIptwqmlUqn0XotImjKt8ePHY+zYsbrXYWFh8Pb2xvHjx+Hi4lKgcRIREZFyIiMj0aBBgzQnqih7im3C6ejoCFNT0zRnM+/du5fhzqRWq6FWq3WvtZfRXVxc4O7uXnDBEhERkUEwMSnWw19yrdi2moWFBerVq4c9e/bole/ZsweNGzdWKCoiIiKioqfYnuEEgLFjx6Jfv37w8/ODv78/fv31V9y+fRsffPCB0qERERERFRnFOuHs2bMnHj58iClTpiAyMhLe3t7Yvn07PD09lQ6NiIiIqMgo1gknAAwfPhzDhw9XOgwiIiKiIqvY9uGkou/evXsYOnQoypUrB7VaDWdnZ7Rp0wZBQUG6OiqVCps3b86XzwsNDYVKpcKZM2cyrRcYGAiVSoUnT56kWebr64tJkybp6mT2WLZsGQBgw4YNaNasGRwcHGBra4tatWphypQpunlis2Pjxo1o1aoVypQpA3t7e/j7+2PXrl1p6m3YsAFeXl5Qq9Xw8vLCpk2b9JZPnz4d9evXh52dHZycnNC1a1dcvXpVtzwxMRGffvopfHx8YGNjA1dXV7z77ruIiIjIMsbHjx+jX79+cHBwgIODA/r165emDT/66CPUq1cParUavr6+2d7+gwcPol69erC0tETFihWxYMECveUXL17E22+/jfLly0OlUuGHH37I1nrPnz+PgIAAWFlZwc3NDVOmTEHquwln9dmpPXr0CB9++CGqVasGa2trlCtXDqNGjUJ0dLSuTmhoKAYNGoQKFSrAysoKlSpVwsSJE5GQkJBlzFn9jgHNLYErVKgAS0tL1KtXD//880+22oOIii8mnFRkvf322zh79iyWL1+Oa9euYcuWLWjWrFmOErHsys4XeU40btwYkZGRukePHj3Qtm1bvbKePXviiy++QM+ePVG/fn3s2LEDFy5cwKxZs3D27Fn88ccf2f68Q4cOoVWrVti+fTtOnTqF5s2bo1OnTggODtbVCQoKQs+ePdGvXz+cPXsW/fr1Q48ePXDs2DFdnYMHD2LEiBE4evQo9uzZg6SkJLRu3RrPnj0DADx//hynT5/GV199hdOnT2Pjxo24du0aOnfunGWMffr0wZkzZ7Bz507s3LkTZ86cQb9+/fTqiAjee+899OzZM9vbHhISgvbt26Np06YIDg7G559/jlGjRmHDhg26Os+fP0fFihUxY8YMODs7Z2u9MTExaNWqFVxdXXHixAnMnTsXM2fOxOzZs3P02alFREQgIiICM2fOxPnz57Fs2TLs3LkTgwYN0tW5cuUKUlJSsHDhQly8eBFz5szBggUL8Pnnn2cac3Z+x7wlMBHlilCuhYWFCQAJCwtTOhRK5fHjxwJAAgMDM6zj6ekpAHQPT09PERG5ceOGdO7cWZycnMTGxkb8/Pxkz549ad779ddfS//+/cXe3l7effddvXUBkICAgHQ/98CBAwJAHj9+nGZZ7dq1ZeLEiWnK+/fvL126dNErO3bsmACQH374IcM2yAsvLy+ZPHmy7nWPHj2kbdu2enXatGkjvXr1ynAd9+7dEwBy8ODBDOscP35cAMitW7cyrHPp0iUBIEePHtWVBQUFCQC5cuVKmvoTJ06U2rVrZ7i+V/3vf/+T6tWr65UNHTpUGjVqlG59T09PmTNnTpbrnTdvnjg4OEhcXJyubPr06eLq6iopKSm5+uyMrF27ViwsLCQxMTHDOt99951UqFAh0/Vk53fcoEED+eCDD/TqVK9eXT777LMcxUxkbPidnzc8w0lFkq2tLWxtbbF582a925G+6sSJEwCApUuXIjIyUvf66dOnaN++Pfbu3Yvg4GC0adMGnTp1SnMG5/vvv4e3tzdOnTqFr776CsePHwcA7N27F5GRkdi4cWMBbiGwcuVK2NraZtgHuUSJEgBeXuoPDAzM9rpTUlIQGxuLUqVK6cqCgoLQunVrvXpt2rTJ8FawAHSXeV9dT3p1VCqVLt70BAUFwcHBAQ0bNtSVNWrUCA4ODpl+fnZktF0nT55EYmJintYbEBCgN3dvmzZtEBERgdDQ0Gx/trZ7hfY96YmOjoa9vX2mt9uLjo5O83soX748Jk2apBdzZr9j7S2BU9fJ7JbAREQAL6lTEWVmZoZly5Zh+fLlKFGiBJo0aYLPP/8c586d09UpU6YMAE1i5uzsrHtdu3ZtDB06FD4+PqhSpQqmTp2KihUrYsuWLXqf0aJFC4wbNw6VK1dG5cqVde8vXbo0nJ2dM02y8sP169dRsWJFmJubZ1rP3Nxc198vu2bNmoVnz56hR48eurKoqKgc3QpWRDB27Fi89tprGd7+NS4uDp999hn69OkDe3v7DOOJioqCk5NTmnInJ6cMPz+7MtqupKQkPHjwIN/Xq12W3c+2trZGtWrVMvw9P3z4EF9//TWGDh2aYSz//fcf5s6dm2bKt0qVKsHR0THLmLXx5uaWwEREABNOKsLefvttREREYMuWLWjTpg0CAwNRt25d3WCbjDx79gz/+9//4OXlhRIlSsDW1hZXrlxJc4bTz8+vAKPPmmRyG9ZXubm54cqVK2jQoEG21rtq1SpMmjQJa9asSZPk5eRWsCNHjsS5c+ewatWqdJcnJiaiV69eSElJwbx583TlH3zwge4Mta2tbYafndXnp+fV9b6afKW3XRl9Zk5kZ71Z1WnQoAGuXLkCNze3NOuPiYlBhw4d4OXlhYkTJ6YbQ0REBNq2bYvu3btj8ODBesv27duHkSNHZhlz6rKc7AdERACnRaIiztLSEq1atUKrVq0wYcIEDB48GBMnTsSAAQMyfM8nn3yCXbt2YebMmahcuTKsrKzQrVu3NAODbGxschWT9kxedHR0msvIT5480d0yNStVq1bF4cOHkZiYmOVZzuxas2YNBg0ahHXr1uGNN97QW+bs7JztW8F++OGH2LJlCw4dOpTubV8TExPRo0cPhISEYP/+/XpnN6dMmYJx48al+ey7d++mWc/9+/dzdF/jV2cQ0H5mRttlZmaG0qVLZ3vdqWW0XuDlmc68fHZsbCzatm0LW1tbbNq0Kd19ICIiAs2bN9fd2CK3MWvjzc0tgYmIAJ7hpGLGy8tLN2Ia0FxuTk5O1qvzzz//YMCAAXjzzTfh4+MDZ2fnTPvPaVlYWABAmvWlVqVKFZiYmOj6jGpFRkbizp07qFatWra2pU+fPnj69Kne2cFXpTftUmZWrVqFAQMG4M8//0SHDh3SLPf3909zK9jdu3fr3QpWRDBy5Ehs3LgR+/fvR4UKFdKsR5tsXr9+HXv37k2TWDk5Oem6KVSuXFn32dHR0bp+sgBw7NgxREdH5+hWtK+uV3v2NqPt8vPzy1Mi7+/vj0OHDun9o7J79264urqifPnyefrsmJgYtG7dGhYWFtiyZQssLS3T1Llz5w6aNWuGunXrYunSpdm6/3NWv2PeEpiIck2p0UpFAUesGa4HDx5I8+bN5Y8//pCzZ8/KzZs3Ze3atVK2bFl57733dPWqVKkiw4YNk8jISHn06JGIiHTt2lV8fX0lODhYzpw5I506dRI7Ozv56KOPdO9Lb6RyYmKiWFlZydSpUyUqKkqePHmSYXzDhg2TcuXKyaZNm+TmzZty+PBhCQgIEB8fn3RHGqc3Sl1EM8rZ1NRUPvnkEzly5IiEhobK3r17pVu3brrR6+Hh4VKtWjU5duxYhvH8+eefYmZmJr/88otERkbqHq9uw7///iumpqYyY8YMuXz5ssyYMUPMzMz0Ro4PGzZMHBwcJDAwUG89z58/17VR586dxd3dXc6cOaNXJz4+PsP4RETatm0rtWrVkqCgIAkKChIfHx/p2LGjXp3r169LcHCwDB06VKpWrSrBwcESHByc6bpv3rwp1tbWMmbMGLl06ZIsWbJEzM3NZf369bo68fHxunW5uLjIuHHjJDg4WK5fv57hep88eSJly5aV3r17y/nz52Xjxo1ib28vM2fOzNFnHzt2TKpVqybh4eEiIhITEyMNGzYUHx8fuXHjhl4bJiUliYjInTt3pHLlytKiRQsJDw/Xq/OqFi1ayNy5c3Wvs/M7Xr16tZibm8uSJUvk0qVLMnr0aLGxsZHQ0NAM24KoKOB3ft4w4cwD7nyGKy4uTj777DOpW7euODg4iLW1tVSrVk2+/PJLXfIjIrJlyxapXLmymJmZ6aZFCgkJkebNm4uVlZV4eHjIzz//LAEBAVkmnCIiixYtEg8PDzExMclwWiRtfFOmTJEaNWqIlZWVeHp6yoABA9IkBFoZJZwiImvWrJHXX39d7OzsxMbGRmrVqiVTpkzRTYsUEhIiAOTAgQMZxhMQEJBmWicA0r9/f71669atk2rVqom5ublUr15dNmzYoLc8vXUAkKVLl+rFkt4js/hERB4+fCh9+/YVOzs7sbOzk759+6aZ+imj7QgJCcl03YGBgVKnTh2xsLCQ8uXLy/z58/WWZxR3Zr9jEZFz585J06ZNRa1Wi7Ozs0yaNEk3JVJ2P1s7jZZ2G7SvM9vOpUuXZljnVZ6enmmm4crqdywi8ssvv4inp6dYWFhI3bp1M532iqio4Hd+3qhEUt32grItPDwcHh4eCAsLS7efGhERERUN/M7PG/bhJCIiIqICxYSTiIiIiAoUE04iIiIiKlBMOImIiIioQDHhJCIiIqICxYSTiIiIiAoUE04iIiIiKlBMOImIiIioQDHhJCIiIqICxYSTiIiIiAoUE04iIiIiKlBMOImIiIioQDHhJCLKoyNhR3Dh3gWlwygQISHA8ePA/ftKR0JExowJJxFRHly4dwHtV7ZH06VNcSTsiNLh5LuhQ4GGDYGdO5WOhIiMGRNOIqI8cLVzhVcZLzyJe4I3fn8DO67vUDqkfGVjo3l+9kzZOIjIuDHhJCLKg1JWpbCn3x60q9wOL5JeoPPqzvjz/J9Kh5VvmHASUX5gwklElEc2Fjb4q9df6OPTB0kpSei7sS/mHpurdFj5ggknEeUHJpxERPnA3NQcf7z5Bz5s8CEAYNTOUZh4YCJEROHI8oYJJxHlByacRET5xERlgh/b/ogOVToAAKYcmoK1F9cqHFXeMOEkovxQ5BLO0NBQDBo0CBUqVICVlRUqVaqEiRMnIiEhQa+eSqVK81iwYIFCURORsRMR7LyxEw0WN8C269sAAPZqe1QsWVHhyPLm0SPNs4ODsnEQkXEzUzqA/HblyhWkpKRg4cKFqFy5Mi5cuIAhQ4bg2bNnmDlzpl7dpUuXom3btrrXDjyiElEuBIYG4sv9X+LfsH8BADbmNvio4Uf4uPHHKGVVSuHo8iYkRPNcoYKycRCRcStyCWfbtm31ksiKFSvi6tWrmD9/fpqEs0SJEnB2di7sEImoiEiRFPRc3xPrL60HAFiaWWK433B8+tqncLJxUji6/KFNOMuXVzQMIjJyRe6Senqio6NRqlTaswwjR46Eo6Mj6tevjwULFiAlJUWB6IjIWKVICvbe3Kt73dijMd6r816RSTaBl3cYcnFRNg4iMm5FPuH877//MHfuXHzwwQd65V9//TXWrVuHvXv3olevXvj444/xzTffZLqu+Ph4xMTE6B6xsbEFGToRGTgzEzMcHXQUPWv2BADsD9kPn/k+6LOhD64+uKpwdPlD+3+4qamycRCRcTOahHPSpEnpDvR59XHy5Em990RERKBt27bo3r07Bg8erLfsyy+/hL+/P3x9ffHxxx9jypQp+P777zONYfr06XBwcNA9vLy88n07ici4VHOshtXdVuPcB+fwdo23IRCsurAKXvO88O6md3Hj0Q2lQ8wT7axOJkbzbUFEhkglRjJJ3IMHD/DgwYNM65QvXx6WlpYANMlm8+bN0bBhQyxbtgwmWRwt//33X7z22muIiopC2bJl060THx+P+Ph43es7d+7Ay8sLYWFhcHd3z+EWEVFRdCbqDCYFTsJfV/8CAJiqTNG/dn98+fqXqFDS+EbeODgAMTHAtWtAlSpKR0OknPDwcHh4ePA7P5eMZtCQo6MjHB0ds1X3zp07aN68OerVq4elS5dmmWwCQHBwMCwtLVGiRIkM66jVaqjVat3rmJiYbMVDRMWHr7MvNvfajJMRJzEpcBK2Xd+G3878ht/P/Y6pzafi09c+VTrEHNFeUucZTiLKiyJ3CImIiECzZs3g4eGBmTNn4v79+4iKikJUVJSuztatW7Fo0SJcuHAB//33HxYvXowvvvgC77//vl5CSUSUW36ufvi7z984Ougo3qj4BpJSkvDjsR+VDivHkpI0z+zDSUR5YTRnOLNr9+7duHHjBm7cuJHmlLe294C5uTnmzZuHsWPHIiUlBRUrVsSUKVMwYsQIJUImoiKsoXtD/N71d7jOdsXdZ3eRnJIMUxPjyN5SUoC4OM3P1tbKxkJExs1o+nAaIvbnIKLsSE5JhsVUC6RICiI/joSzrXHM//v8+ctbW8bEAHZ2ysZDpCR+5+dNkbukTkRkaExNTOFq5woAWHdxncLRZJ/27CYA/P94TCKiXGHCSURUCMY2GgsA+Hj3xzgaflThaLLn1X6bycnKxUFExo8JJxFRIRjdaDS6eXVDYkoiuq/rjvvP7isdUpYsLF7+nJioXBxEZPyYcBIRFQKVSoXfOv+GaqWrITwmHL039EZyimGfNjQ3f/kzE04iygsmnEREhcRObYeNPTfCxtwG+0L24asDXykdUqZevaTOhJOI8oIJJxFRIapUshJeK/caAGBW0CwkJCcoHFHGVCrA7P8nz9POx0lElBtFbh5OIiJDdf3hdfTa0AunI08DAP7X+H+wMLXI4l3KSU5+mWjynhhElBdMOImICsHKcyvxwbYP8DThKUpblcayrsvQsWpHpcPK1IsXL3/mxO9ElBdMOImICtCzhGcYuWMklp1ZBgB43fN1rHxrJdztDX/i6OfPX/7MeTiJKC+YcBIRFQARweHbhzFk6xBcfXgVJioTfPX6V/jq9a+M5taW2oTTygowYY9/IsoDJpxERPno/rP7+OPcH1h8ejEuP7gMAHC1c8XKt1aiWflmygaXQ68mnEREecGEk4goj1IkBXtv7sXi04ux+cpmJKZo5hCyNrdGb+/emPHGDDhaOyocZc5pb23JhJOI8ooJJxFRLt2Ovo2lwUux9MxS3Iq+pSuv71ofg+oMQi/vXnCwdFAwwrzRJpzsv0lEecWEk4goF4Ijg9FoSSPdPJolLEugX61+GFRnEGo711Y4uvzBhJOI8gu7gRMR5YLaTA216cvJKdWmapSxLgNXO1cFo8pfCf8/J72F4U4VSkRGggknEVEueJXxQshHIfimxTdwtXPF3Wd3MSFwAjzmeGDwlsG4cO+C0iHmWfL/3+rd1DgG1RORAWPCSUSUS6WtS2N80/EI/SgUK99aCT9XP8Qnx2NJ8BL4zPdBp1WdEBsfq3SYucaEk4jyCxNOIqI8Mjc1Rx+fPjg++Dg29tgIU5UmQ/v72t8IeRKicHS5l5KieeYcnESUVzyMEBHlkz0392DYtmFIlmRYmllifof5qFW2ltJh5RrPcBJRfuEodSKiPEpOScZnez/DzKCZAABvJ2+sensVvJ28FY4sb7RnOJlwElFeMeEkIsqjrde26pLNUlalsLbbWtQoU0PhqPJOe4ZTpVI2DiIyfrykTkSUR008mqBFhRYAgEcvHsFnvg8G/jUQ1x9eVziyvEnU3DCJ0yIRUZ4x4SQiyqMyNmWw7919+GfgP2hdqTWSJRnLzixD9V+qo+/Gvrh0/5LSIeYKE04iyi9MOImI8slr5V7Drnd24eigo+hYtSNSJAV/nv8T3vO80X1dd5yNOqt0iDnCid+JKL8w4SQiymcN3Rtia++tOP3+abxV4y0IBOsvrYfvQl90Wd3FaM54MuEkovzChJOIqIDUcamDlW+txLQW06CCZuTNlqtb0H1dd4Ujyx7tJXUzDi8lojziYYSIKJ+9SHyBnTd2Yv3l9dh6dStiE17ebcjVzhUfNvhQweiyT3tmU3umk4got5hwEhHlg+eJz7Hj+g6su7QOf1/7G88Sn+mWudm5oZtXN3T36g5/D3+YqIzj4pKVleb5xQtl4yAi48eEk4goj25H30adhXXw6MUjXVk5h3LoVqMbutfsjgZuDYwmyXyVtbXm+flzZeMgIuPHhJOIKI/2/LcHj148Qmmr0nivznvo5tUN9V3rQ2XkM6Zrz3Ay4SSivGLCSUSUR2fvaqY7erf2u/iu1XcKR5N/LC01z7ykTkR5ZXzXeLKhfPnyUKlUeo/PPvtMr87t27fRqVMn2NjYwNHREaNGjUICe8YTUS5oE87aZWsrHEn+iovTPGsTTyKi3CqyZzinTJmCIUOG6F7b2trqfk5OTkaHDh1QpkwZHD58GA8fPkT//v0hIpg7d64S4RKRkRIR3YTutZ2LVsIZ+/+D6+3tlY2DiIxfkU047ezs4OzsnO6y3bt349KlSwgLC4OrqysAYNasWRgwYACmTZsGex5diSibwmPCER0fDQCoWrqqwtHkL23CaWenbBxEZPyK5CV1APj2229RunRp+Pr6Ytq0aXqXy4OCguDt7a1LNgGgTZs2iI+Px6lTp5QIl4iMVCmrUrC10FxB+XL/lwpHk79u3dI8Z/C/OxFRthXJM5wfffQR6tati5IlS+L48eMYP348QkJCsHjxYgBAVFQUypYtq/eekiVLwsLCAlFRURmuNz4+HvHx8brXsbGxGdYlouLBxsIGy7osQ7d13TDn6BzUc6mHvrX6Kh1WvrhwQfPs46NsHERk/IzmDOekSZPSDARK/Th58iQAYMyYMQgICECtWrUwePBgLFiwAEuWLMHDhw9160tvuhIRyXQak+nTp8PBwUH38PLyyv8NJSKj87bX2/j8tc8BAIO3DkZgaKCyAeWT8+c1z97eysZBRMbPaBLOkSNH4vLly5k+vDM4KjZq1AgAcOPGDQCAs7NzmjOZjx8/RmJiYpozn68aP348oqOjdY9Lly7l09YRkbGb0nwK2lVuh7ikOLRY3gIf7fgIzxKeZf1GA5WQAISHa36uVk3ZWIjI+BnNJXVHR0c4Ojrm6r3BwcEAABcXFwCAv78/pk2bhsjISF3Z7t27oVarUa9evQzXo1aroVarda9jYmJyFQ8RFT2mJqZY020NRu8cjd/O/Iafjv+Ev6//jSWdl6BZ+WZKh5dj2imRAA4aIqK8M5oznNkVFBSEOXPm4MyZMwgJCcHatWsxdOhQdO7cGeXKlQMAtG7dGl5eXujXrx+Cg4Oxb98+jBs3DkOGDOEIdSLKNTu1HZZ0WYIdfXfAw94DNx/fRPPlzTF823DExhtXn+9XE04LC+XiIKKiocglnGq1GmvWrEGzZs3g5eWFCRMmYMiQIVi1apWujqmpKbZt2wZLS0s0adIEPXr0QNeuXTFz5kwFIyeioqJt5ba4MPwChtYbCgCYf3I+fOb7YO/NvQpHln3a8ZEWFoCR36GTiAyASkRE6SCMVXh4ODw8PBAWFgZ3d3elwyEiA7Tv5j4M3joYoU9CAQAfNvgQP7b90eDvs37jBlCliuZyOnsPEfE7P6+K3BlOIiJD8eD5A1x9eBWlrUrryuYen4sHzx8oGFX2aC+pv9JtnYgo14xm0BARkTF4nvgcW69uxYrzK7Dzxk4kpSQBAExUJmhRoQVG1h+JMjZlFI4ya9pL6kw4iSg/MOEkIsqj5JRk7A/Zj5XnV2LD5Q14mvBUt6yuS1309emLXt694GrnmslaDAsTTiLKT0w4iYhyQUQQHBWMFedWYPWF1Yh8GqlbVr5EefT16Yu+Pn1Ro0wNBaPMPSacRJSfmHASEeVAyOMQ/Hn+T6w4vwJXHlzRlZeyKoUeXj3wTq130NijscEPCsoKE04iyk9MOImIsvDw+UOsvbgWK8+vxL9h/+rKLc0s0alqJ7xT6x20rdwWFqZFZ8LK5881z1ZWysZBREUDE04ionS8SHyBrde2YsW5FdhxY4du8I8KKrSo0AJ9ffrirRpvwcHSQeFIC8b9+5rnMoY/vomIjAATTiKi/xcbH4sjYUew+uJqbLi0AbEJL+8OVMe5jm7wj5u9m4JRFo579zTPZcsqGwcRFQ1MOImoWEqRFFx9cBVHw49qHneO4sK9C0iRFF0dTwdPzeCfWn3hVcZLwWgL3927mmcnJ2XjIKKigQknERULj148wrHwY7rk8lj4MUTHR6ep527vjvaV2+OdWu+gSbkmMFEVz/tjPPj/uekdHZWNg4iKBiacRFTkJKUk4cK9Cy/PXoYfxdWHV9PUszKzgp+rHxq5N0Ij90Zo6NawWFwuz46HDzXPpUtnXo+IKDuYcBKR0Yt6GqWXXJ6IOIHnic/T1KtSqoouuWzk3gg+Tj4wNzVXIGLDp004eYaTiPIDE04iMjqX7l/C7v926xLMW9G30tSxV9ujoVtDXXLZwK0BHK2ZPWUXz3ASUX5iwklERuXGoxvwnucNgejKVFChplNNNHJ7efayRpkaxbb/ZV6JvOzDyYSTiPIDE04iMion7pyAQOBq54rhfsPRyL0R6rvVh73aXunQiownT15O/O5qPLd/JyIDxoSTiIzK9UfXAQBtKrXBF69/oXA0RVNoqObZyYl3GiKi/MGEk4gKjYjgeeJzxCbEIjY+FrEJsYiJj9H9HBv//69T//zK69vRtwEAVUtXVXhriq4bNzTPnp7KxkFERQcTTiLKVIqk4GnC00wTw9SJY2bLXp1YPbdUUOF1z9fzYesotefPgQkTND/7+SkbCxEVHUw4iYqgxOTEzJPB9BLHDJY9S3yW7/GpoIKthS3s1fawU9vBzsJO7+fUr/WWqe3gYe/B+TILyKefAleuAC4uwJQpSkdDREUFE04iAyAiiE+Oz97l5XTOIqZeFpcUl+8xmpmY6RI+e7W97mddQpjZslQ/W5tbcwS5Adq5E/j5Z83PS5dyDk4iyj9MOIlySUTwLPFZ9hJDbRKZydnGpJSkfI9RbapOc3ZQlxCmc+Yws8TR0swSKpUq32Mkw/DgATBwoObnDz8E2rRRNh4iKlqYcFKxlJCcgOi4aMTExyA6PhrRcdF6zzHxMS/L0imPiY/B04SnenNB5hcbc5uMzw5mceYwdbLIu+hQdjx8CPTuDURFATVqAN9+q3RERFTUMOEkoyIiiEuKyzpJfCVZTK88Py85q6DK8uxgdi8521rYwtTENN9iI8rKvn3Au+8CERGAWg2sXMmpkIgo/zHhpEIjInia8DTrJDEuGjEJGZTHxyAxJTHfYrIxt4GDpQMc1A6wV9vrfnZQO6Rfbql5rX3YWWj6I/JSMxmb+Hjgq6+AmTM1dxaqVk2TbNapo3RkRFQUMeGkbElOSdZdfs4oSdQty6A8Jj4mX6bEATRnFbWJoL3aXi9BfDUx1CtPlUDaq+1hZsI/ASp+Ll8G+vYFgoM1r4cOBWbNAmxslI2LiIouftsWA3ntrxgdH42nCU/zLR4zE7N0zxxqk8V0y1MlkLYWthzlTJRDIsDChcDYscCLF5r7pC9ZAnTponRkRFTUMeEsgm49uYWPdn6Eo+FH872/oqWZZeZnDjM5o6gtszKz4iVookJ0+zbw11/A6tXAkSOastatgWXLNPNtEhEVNCacRYiI4NdTv2LcnnHpnpF8tb+i3plDi6zPKGoTR7WZWoEtI6KcEAEuXAA2b9Y8Tp9+uczCQjMKfdQowIQXCYiokDDhLCJuPbmFQVsGYV/IPgBA03JN8e0b38LFzkWXLHL0M1HRlZysOXupTTJv3ny5zMQEaNIEePNN4O23gXLllIqSiIorJpxGTkSw+PRijN09Fk8TnsLKzArTW07Hhw0/ZB9HoiLuxQtg717N5fItW4D7918uU6s1l827dgU6dgScnBQLk4iICacxi4mPwZCtQ7D24loAwGvlXsNvnX9DldJVFI6MiArKgwfA339rkszdu4Hnz18uK1FCk1x27aq5U5CtrVJREhHpK3IJZ2BgIJo3b57usuPHj6N+/foAkO6glfnz5+ODDz4o0PjyS3BkMLqv647/Hv8HMxMzTG85HWP9x/KsJlERdOOGJsH86y/g33+BlFdmF/PwADp31lwuf/11wJw3lyIiA1TkEs7GjRsjMjJSr+yrr77C3r174efnp1e+dOlStG3bVvfawcGhUGLMCxHBgpMLMHrXaCQkJ6CcQzms6bYGjdwbKR0aEeWTlBTgxImXSealS/rLfX01Uxl16aL5mZM+EJGhK3IJp4WFBZydnXWvExMTsWXLFowcOTLNWc0SJUro1TV0qS+hd67WGUu7LEUpq1IKR0ZEeRUXB+zfr0kwt24FXv2/2cwMCAjQJJidOgHlyysWJhFRrhS5hDO1LVu24MGDBxgwYECaZSNHjsTgwYNRoUIFDBo0CO+//z5MDHSekKsPrqLjqo648egGzEzM8O0b32JMozGcz5LICCUmAqGhmkvl168Dhw4Bu3YBT1+ZzczWFmjXTtMfs107oGRJpaIlIsq7Ip9wLlmyBG3atIGHh4de+ddff42WLVvCysoK+/btw8cff4wHDx7gyy+/zHBd8fHxiI+P172OjY0tsLhT++7f73Dj0Q2YqEyw7919eN3z9UL7bCLKucREICREk1RqE0vtc2ioZhqj1NzcNP0xO3cGmjfXjDQnIioKjCbhnDRpEiZPnpxpnRMnTuj10wwPD8euXbuwdu3aNHVfTSx9fX0BAFOmTMk04Zw+fXqWMRSUwXUHY9WFVXiR9AI/HvsRjT0a8z7gRApLSNAkj68mk9rnW7fSTyq1rKyAypWBKlUAb2/NpfJ69dgfk4iKJpWIiNJBZMeDBw/w4MGDTOuUL18elpaWutdff/015s6dizt37sA8i6Gb//77L1577TVERUWhbNmy6dZJfYbzzp078PLyQlhYGNzd3XOwNbmz+7/d6LSqExKSE9DXpy+Wd13OydyJCkFIiGbgTurEMquk0tpak1RqE8tXn11dmVwSGZPw8HB4eHgU2nd+UWM0p8gcHR3h6OiY7foigqVLl+Ldd9/NMtkEgODgYFhaWqJEiRIZ1lGr1VC/co0rJiYm2/Hkh9aVWmN99/V4a+1bWHl+JRq4NcCohqMKNQai4iI+Hli/Hpg/XzMVUUa0SWXqhLJKFc19yplUEhEZUcKZU/v370dISAgGDRqUZtnWrVsRFRUFf39/WFlZ4cCBA/jiiy/w/vvv6yWUhqhTtU5oX6U9tlzdgheJL5QOh6jIuXkTWLgQ+O03zSTrAGBqCtSsyaSSiCi3imzCuWTJEjRu3Bg1atRIs8zc3Bzz5s3D2LFjkZKSgooVK2LKlCkYMWKEApHm3NmoswCA+m71FY6EqGhITga2bwfmzdOMFtd2NHJ3B95/Hxg8WJNYEhFR7hTZhPPPP//McFnbtm31Jnw3Jvef3cet6FtQQYV6LvWUDofIqEVFAUuWAL/+Cty+/bK8TRtg2DCgQwfNHJhERJQ3PJQamRMRJwAA1RyrwcHS8O+MRGRoUlKAf/7R9M3csAFIStKUlyoFvPceMHSo5nI5ERHlHyacRuZ05GkAQHxSPI6GH+UtLYmy4d49YPduYOdOzfP9+y+X+ftrzmZ27w68MskFERHlIyacRqaBWwNYmFog5EkI/Jf4o3O1zpjafCp8yvooHRqRwUhIAIKCNAnmrl1AcLD+cjs7oHdvTaL5/9PwEhFRAWLCaWRaV2qN6x9ex5SDU7D0zFJsuboFW69uRR+fPpjcbDIqlaqkdIhEirh582WCuX+//m0iAaBOHaBtW03/TH9/wMJCmTiJiIojo5n43RApPQns1QdX8dWBr7Du0joAgJmJGQbXGYyvAr6Cq51rocdDVJiePgUCA18mmTdu6C8vUwZo3VqTZLZqBWRwPwciomxR+jvf2DHhzAND2flORZzCF/u/wK7/dgEArMys8GGDD/Hpa5+ilFUpxeIiyk+JicDFiy/7Yh4+rCnTMjMDGjd+eRbT1xcwMVEsXCIqYgzlO99YMeHMA0Pb+Q6GHsSgLYPw3+P/AACVS1XGtZHXoOKs1GQkRIC7d4GrV4Fr1/Sfb958OaJcq0IFTXLZti3QvDlgb69M3ERU9Bnad76xYR/OIuBF4gusvbgWC04t0CWbAOBh78FkkwzSs2eaRDJ1UnntGpDZHWNtbIBmzV4mmZUr8y4/RETGgAmnEbvy4AoWnlyIZWeX4UncEwCAuYk53qrxFj7w+wABngHKBkjFWnIyEBqaNqm8ehW4cyfj95mYAOXLA1WrAtWq6T+7ufEyORGRMWLCaYSeJTxD93XdsePGDl1Z+RLlMbTeUAz0HYiythwdQYUvPh7Ytw/YvFnTv/K//zTTE2XE0fFlMvlqYlmpEqBWF1rYRERUCJhwGqFzd89hx40dUEGFTtU64YN6H6B1pdYwNTFVOjQqZmJigB07gE2bNPcij43VX25pCVSpkv7ZylIcz0ZEVGww4TRCJa1KAgDs1fb4q9dfCkdDxc29e8Bff2nOZO7dq38W09UV6NoVaN8e8PYGPDx4CZyIiJhwGiUnGycAQHR8NOKT4qE24/VHKlghIZqzmJs2Af/+qxlNrlW1KvDmm5pH/fpMMImIKC0mnEaohGUJmJmYISklCfef34e7PadnoPwlApw//zLJPHtWf7mf38sks0YNZWIkIiLjwYTTCKVICuzV9nj04hHuPbvHhJPyLCUFuHIFOHpU89i3TzPvpZapKfD665oEs2tXzaVyIiKi7GLCaWSuP7yOfpv64dGLRwA00yAR5dTDh8CxYy8TzGPH0s5/aWmpuTXkm28CnToBpUsrEysRERk/JpxGQkSw8NRCfLz7YzxPfA4HtQPmdZgHn7I+SodGBi4pSXN5XJtcHj2qmRMzNWtrTR/MRo0Af3/gjTc0E60TERHlFRNOI/Dw+UP029RPN+9miwotsKzLMng48LompRUfD+zfDwQGapLLkyeB58/T1qtaVZNYNmqkeXh7a+5HTkRElN/49WIEphycgh03dkBtqsaMN2ZgVMNRMFFxKDC9FB2tmQdz82bN89On+ssdHICGDV8mlw0a8BI5EREVHiacRuDSg0sAgLnt5mJIvSEKR0OGIiIC2LJFk2Tu3w8kJr5c5uoKtGsHNGmiSTCrVeN0RUREpBwmnEYgMjYSgOb2lVS8Xb2qmaZo82bNQJ9X1aihGUHetatm2iImmEREZCiYcBqBqKdRAAAXOxeFI6HClpICnDihSTA3b9ZMXfSqRo1eJpnVqhV+fERERNnBhNPAJSQn4OGLhwAAZ1tnhaOhwnLyJPDbb5pbSEZEvCw3NwdattQkmJ07Ay78H4SIiIwAE04D9zTh5eiP8JhwOFo7KhgNFYYVK4CBAzXTGQGAnZ3m3uRdu2r6ZTo4KBoeERFRjrGXl4ErZVUK7Sq3AwC8teYt3YTvVDTNmQP066dJNjt3BnbsAO7fB1avBnr1YrJJRETGiQmnEVjx1gpUKFEBIU9C0HtDbySnJCsdEuUzEWD8eGDsWM3rMWM0g4PatgXUamVjIyIiyismnEaglFUpbOq5CVZmVtj93258deArpUOifJSUBAweDMyYoXk9YwYwaxZHmRMRUdHBrzQjUdu5NpZ0XgIAmH54OtZfWq9wRJQf4uKA7t01A4RMTIDFi4FPPwVUKqUjIyIiyj9MOI1EiqTAwtQCJS1LAgDPchYR8+drpjtSq4ENG4BBg5SOiIiIKP9xlLqBS0pJwuoLqzH98HRcuq+545CNuQ0+aviRwpFRfti/X/P89deaUehERERFERNOAxWfFI/fz/6OGf/OwM3HNwEADmoHjGo4Ch81/AilrXkjbGMnAhw9qvn59deVjYWIiKggGeUl9WnTpqFx48awtrZGiRIl0q1z+/ZtdOrUCTY2NnB0dMSoUaOQkJCgV+f8+fMICAiAlZUV3NzcMGXKFIhIIWxBxp4nPsdPx35C5bmV8f7f7+Pm45twtHbENy2+wa3RtzCl+RQmm0XEjRvAgweay+l16igdDRERUcExyjOcCQkJ6N69O/z9/bFkyZI0y5OTk9GhQweUKVMGhw8fxsOHD9G/f3+ICObOnQsAiImJQatWrdC8eXOcOHEC165dw4ABA2BjY4OPP/64sDcJicmJmHN0DmYFzcK9Z/cAAK52rvik8ScYUncIbCxsCj0mKlhHjmie69UDLCyUjYWIiKggGWXCOXnyZADAsmXL0l2+e/duXLp0CWFhYXB1dQUAzJo1CwMGDMC0adNgb2+PlStXIi4uDsuWLYNarYa3tzeuXbuG2bNnY+zYsVAV8jDhRacX4dO9nwIA1KZqzGkzB+/VeQ9qM07CWFQdOqR59vdXNg4iIqKCZpSX1LMSFBQEb29vXbIJAG3atEF8fDxOnTqlqxMQEAD1K7Nqt2nTBhEREQgNDU13vfHx8YiJidE9YmNj8y3mNyq+gUolK2k+Jzkei4MX4/id4/m2fjIsCQmaid0BzW0riYiIirIimXBGRUWhbNmyemUlS5aEhYUFoqKiMqyjfa2tk9r06dPh4OCge3h5eeVbzFVLV8XF4Rcxs9VM2KvtcTryNF5f9jp6rOuBkMch+fY5ZBh27QIePwZcXICAAKWjISIiKlgGk3BOmjQJKpUq08fJkyezvb70LomLiF556jraAUMZXU4fP348oqOjdY9Lly5lO57sUJup8XHjj3H9w+sYWm8oTFQmWHdpHbzmefFsZxGj7Q3SsydgaqpoKERERAXOYPpwjhw5Er169cq0Tvny5bO1LmdnZxw7dkyv7PHjx0hMTNSdxXR2dk5zJvPePc1gndRnPrXUarXeJfiYmJhsxZNTTjZOWNBxAYbXH46hfw/F0fCj+P7I91jXfV2BfB4Vrj17gI0bNXcTGjBA6WiIiIgKnsEknI6OjnB0dMyXdfn7+2PatGmIjIyEi4sLAM1AIrVajXr16unqfP7550hISIDF/w8R3r17N1xdXbOd2Ba0WmVrYUGHBfBd6Iu/rvyF+8/uo4xNGaXDojx4/hwYOlTz88iRQO3aysZDRERUGAzmknpO3L59G2fOnMHt27eRnJyMM2fO4MyZM3j69CkAoHXr1vDy8kK/fv0QHByMffv2Ydy4cRgyZAjs7e0BAH369IFarcaAAQNw4cIFbNq0Cd98840iI9QzU9u5Nvxc/ZCYkogV51YoHQ7l0cSJQEgI4OEBTJumdDRERESFwygTzgkTJqBOnTqYOHEinj59ijp16qBOnTq6Pp6mpqbYtm0bLC0t0aRJE/To0QNdu3bFzJkzdetwcHDAnj17EB4eDj8/PwwfPhxjx47F2LFjldqsDA2qo7nB9uLgxYpPTE+5d/o0MHu25uf58wE7O2XjISIiKiwqYQaTa+Hh4fDw8EBYWBjc3d0L7HMOhh5Es+XNAAAnhpyAn6tfgX0WFZwmTTSTvffqBaxapXQ0RESUE4X1nV9UGeUZzuLi4r2L6La2my7ZtDC1gKWZpaIxUe6dO6d5/vxzZeMgIiIqbEw4DdD1h9fRd2Nf+Mz3wYbLG6CCCn18+uD8sPPwdvJWOjzKpf/vPozERGXjICIiKmwGM0qdgNAnofj64NdYfnY5kiUZAPBWjbcwudlkJppFgIMDEBEBREcrHQkREVHhYsJpAO7E3MG0f6Zh8enFSEzRnP7qUKUDpjSfgroudRWOjvJLiRKaZyacRERU3DDhVNjxO8cRsCwAcUlxAIAAzwBMbzkd/h7+CkdG+c3BQfP85ImiYRARERU69uFUWEx8DOKT4nWvz987jxXnVuD4neOcAqmI0d7X4P9vaEVERFRsMOFU2BsV38DF4RfxaZNP4WrnikcvHmHeyXlouLghvOZ5YcbhGQiPCVc6TMoHHh6a57AwZeMgIiIqbEw4DUCNMjUw440ZuD36Nna9swt9fPrAyswKVx5cwfh941FuTjm0/qM1rj64qnSolAdMOImIqLhiwmlATE1M0bpSa6x8ayWixkVhcafFaFquKQSCPTf3YMHJBUqHSHlw/77m+dkzZeMgIiIqbEw4DZS92h6D6g7CoYGH0LRcUwCAVxkvhaOi3Hr8+OVtLQcOVDYWIiKiwsaE08DFJ8Xj+J3jAICA8gEKR0O59d13mumQfHw0t7YkIiIqTphwGrgTEScQnxyPsjZlUaVUFaXDoVyIigJ+/FHz87RpgAn/6oiIqJjhV5+BO3TrEADgdc/XoVKpFI6GcmPqVODFC8DfH+jYUeloiIiICh8TTgP2NOEpFp1eBABoVr6ZssFQrogAf/yh+XnKFID/MxARUXHEhNOAfbn/S4Q+CYWngyferf2u0uFQLty/D8TEaBLNpk2VjoaIiEgZTDgNVFBYEH469hMA4NdOv8LWwlbhiCg3bt7UPLu7A2q1srEQEREphQmnAYpPisegLYMgEPSv3R+tK7VWOiTKJW3CWbGisnEQEREpiQmnAfrmn29w+cFlONk4YXab2UqHQ3lw44bmmQknEREVZ0w4Dczt6NuY8e8MAMDP7X5GKatSCkdEubVhg2b+TQCoWVPZWIiIiJTEhNPATAyciITkBDQv3xzdvLopHQ7lQkoK8OWXQLdumttYtmwJvP++0lEREREphwmnAbl47yJ+P/s7AGB6y+mcd9MIRUcDXbpoJngHgLFjgZ07ATs7ZeMiIiJSkpnSAdBLv576FSmSgs7VOqOhe0Olw6FcGDUK+PtvzYj0RYuAfv2UjoiIiEh5PMNpQBytHQEA957dUzgSyq2kJM3z//7HZJOIiEiLCacBGVJvCCxMLXA0/CiO3zmudDiUC97emmftdEhERETEhNOgONs6o5d3LwDAj8d+VDgayg1twnnhgrJxEBERGRImnAbmo4YfAQDWXlyLiNgIhaOhnNImnJcvv7y8TkREVNwx4TQwdV3qomm5pkhKScJvwb8pHQ7lULlygLk5kJAAhIYqHQ0REZFhYMJpgHrU7AEA7MdphPbuBRITNdMgubgoHQ0REZFhYMJpgGqXrQ0AOHf3nMKRUE798IPmedAgwMZG0VCIiIgMBhNOA+RT1gcAcCv6FqLjohWOhrLr8mXNJO8qFfDhh0pHQ0REZDiYcBqgEpYl4GHvAQA4f++8wtFQdv30k+a5SxegYkVlYyEiIjIkRplwTps2DY0bN4a1tTVKlCiRZvnZs2fRu3dveHh4wMrKCjVq1MCPP+pPMxQaGgqVSpXmsXPnzkLaiszVKlsLALD9+naFI6GsnDoF9OmjubMQAIwerWg4REREBscob22ZkJCA7t27w9/fH0uWLEmz/NSpUyhTpgxWrFgBDw8PHDlyBO+//z5MTU0xcuRIvbp79+5FzZo1da9LlSpV4PFnRx+fPth2fRu+/fdbtKzQEi0rtlQ6JHpFSgqwfTswaxYQGPiy/J13gNdfVywsIiIig2SUCefkyZMBAMuWLUt3+Xvvvaf3umLFiggKCsLGjRvTJJylS5eGs7NzgcSZF318+mDfzX347cxv6LWhF4KHBsPd3l3psIq9uDjgjz+A2bOBK1c0ZaamQM+ewMcfA3XrKhsfERGRITLKS+q5ER0dne7Zy86dO8PJyQlNmjTB+vXrM11HfHw8YmJidI/Y2NiCChcA8HP7n1HHuQ4ePH+A7uu6IyE5oUA/jzL24AEwZQrg6Qm8/74m2bS3B8aNA0JCgJUrmWwSERFlpFgknEFBQVi7di2GDh2qK7O1tcXs2bOxfv16bN++HS1btkTPnj2xYsWKDNczffp0ODg46B5eXl4FGreVuRXW91iPEpYlcDT8KMbuGlugn0dpXbsGDBsGeHgAEycC9+5pJnefNQsICwO+/16zjIiIiDJmMAnnpEmT0h3E8+rj5MmTOV7vxYsX0aVLF0yYMAGtWrXSlTs6OmLMmDFo0KAB/Pz8MGXKFAwfPhzfffddhusaP348oqOjdY9Lly7laltzomLJiljaZSkA4JcTv+Bo+NEC/8ziLi4O+PNPoEULoFo1YMECTVm9epryGzeAsWM1ZziJiIgoawbTh3PkyJHo1atXpnXKly+fo3VeunQJLVq0wJAhQ/Dll19mWb9Ro0ZYvHhxhsvVajXUarXudUxMTI7iyY0UScG6S+sAALYWtnCx5e1rCsq5c8DixcCKFcDjx5oylQro0EFz6fz11zWviYiIKGcMJuF0dHSEo6Njvq3v4sWLaNGiBfr3749p06Zl6z3BwcFwMbD7EX6651P8ef5PmJmYYUOPDfAs4al0SEVKbCywerUm0Tz+yp1Ey5UD3nsPGDhQ8zMRERHlnsEknDlx+/ZtPHr0CLdv30ZycjLOnDkDAKhcuTJsbW1x8eJFNG/eHK1bt8bYsWMRFRUFADA1NUWZMmUAAMuXL4e5uTnq1KkDExMTbN26FT/99BO+/fZbpTYrjSWnl2Bm0EwAwG+df0PrSq0Vjqho+eEH4MsvgWfPNK/NzTWTtg8eDLzxhmb0OREREeWdUSacEyZMwPLly3Wv69SpAwA4cOAAmjVrhnXr1uH+/ftYuXIlVq5cqavn6emJ0NBQ3eupU6fi1q1bMDU1RdWqVfHbb7/hnXfeKbTtyMq/Yf8CADpV7YR+tfspHE3Rsm4dMGaM5ufq1TVJZr9+gJOTsnEREREVRSoREaWDMFbh4eHw8PBAWFgY3N3zf47M/SH70fL3lrC1sEXE2AjYqe3y/TOKozNngCZNgOfPNXcFmj2bfTOJiChzBf2dX9QZzCh1Sqt5+eao7lgdTxOeYsW5jKdrouy7fx/o2lWTbLZqpZnWiMkmERFRwWLCacBUKhWG+w0HoJkSiSej8yYxEejWDbh1C6hcGVizBjAzyk4lRERExoUJp4F7t/a7sDa3xsX7F7H7v91Kh2O07t/X3Of80CHAzg7YsgUoWVLpqIiIiIoHJpwGzsHSAQNqDwAA9NrQC2eizigaj7FJTAR+/BGoWhVYu1Zz+fzPP4EaNZSOjIiIqPhgwmkEvmv1HZp4NMGTuCdo9UcrXLpf8Hc4Kgp27wZq19YMDHryBPD11Zzh7NhR4cCIiIiKGSacRsDGwgbb+myDn6sfHjx/gDd+fwM3Ht1QOiyDdeOGZj7NNm2Ay5cBR0fg11+BkyeB115TOjoiIqLihwmnkXCwdMDOvjvh7eSNyKeRaPl7S9yOvq10WAYlNhb49FPAy0vTR9PMTDPX5vXrwJAhnMidiIhIKRyja0RKW5fG3n578fqy13Ht4TW0/L0lTr1/CvZqe6VDU0RyMnDpEnDsmOaxdStw965mWZs2wJw57KtJRERkCJhwGpmytmWx7919qPhjRdx4dANXH1xFfbf6SodVKO7c0dzvXJtgnjwJPH2qX6dyZU2i2aED59ckIiIyFEw4jZC5iTkSUxKhggo1yhTNU3hPnwKnTr1MLo8d0yScqdnaAvXrAw0bAo0aAW3bAmp14cdLREREGWPCaYSCo4IBANUcq8HWwlbhaPIuOVkzuOfV5PLCBSAlRb+eiQng7a1JLrWPGjXYN5OIiMjQMeE0QqcjTwMA6jjXUTiS3ImIeJlYHj8OnDiR9tI4ALi76yeXdetqzmgSERGRcWHCaYS0CWddl7oKR5Izs2YBP/wAhIenXWZj8/LSuPbh6lroIRIREVEBYMJphIwx4UxIAL74AoiP11war1lTP7n08uKlcSIioqKKCaeRefziMUKehAAAfJ19lQ0mBy5c0CSbJUsCt25p7mdORERExQMnfjcy2nuply9RHqWsSikbTA6cOKF59vNjsklERFTcMOE0MsZ4OR14mXDWLx5ThhIREdErmHAamZORJwEAdZ2ZcBIREZFxYMJpRA7fPox1F9cBABp7NFY4mpy5dk3zXKuWsnEQERFR4WPCaSTuPr2LHut6IFmS0cenD5qVb6Z0SNkWHw/ExWl+LmU83U6JiIgonzDhNALJKcnos7EPIp9GooZjDSzsuBAqI7pReGzsy585YIiIiKj4YcJpBDZc3oD9IfthY26DDT02GN3tLLVnNwHg7beBK1eUi4WIiIgKHxNOI7Dl6hYAwPD6w1GjTA2Fo8k5Nzdg9GjNxO5//aW5H/oHHwBRUUpHRkRERIWBCaeBS05Jxs4bOwEAHat2VDia3FGpgDlzgPPngS5dgORkYOFCoHJlYNKk9O+jTkREREUHE04Dd/zOcTx88RAlLEsY3cj01GrUADZvBg4d0tzO8tkzYPJkTeK5YAGQmKh0hERERFQQmHAauG3XtwEA2lRqAzOTonEn0qZNgaAgYN06TbJ59y4wbBjg4wNs26Z0dERERJTfmHAauH/D/gUACAQpkqJwNPlHpQK6dQMuXQJ+/hkoUwa4ehXo2BFYtUrp6IiIiCg/MeE0cEPqDoEKKqy9uBYD/xqIpJQkpUPKV+bmwIgRwI0bwODBmrIBA4CDBxUNi4iIiPIRE04D18enD1a+tRKmKlP8fvZ39FrfCwnJCUqHle/s7TUDid5+G0hIALp21Zz9JCIiIuPHhNMI9PbpjQ09NsDC1AIbLm9A19Vd8SLxhdJh5TsTE+CPP4DGjYEnT4B27YCICKWjIiIiorxiwmkkulTvgr97/w0rMyvsuLED7f9sj6cJRW8+ISsrYMsWoEoV4PZtoEMHICZG6aiIiIgoL4wy4Zw2bRoaN24Ma2trlChRIt06KpUqzWPBggV6dc6fP4+AgABYWVnBzc0NU6ZMgYgUwhbkTqtKrbC482IAQGBoIJYGL1U4ooJRujSwY4dmINGZM0Dt2sD+/UpHRURERLlllAlnQkICunfvjmHDhmVab+nSpYiMjNQ9+vfvr1sWExODVq1awdXVFSdOnMDcuXMxc+ZMzJ49u6DDz7V/bv2D0TtHAwCcbJzQpnIbZQMqQJUqaZJOT08gNBRo2VIzddKr92UnIiIi42CUCefkyZMxZswY+Pj4ZFqvRIkScHZ21j2srKx0y1auXIm4uDgsW7YM3t7eeOutt/D5559j9uzZBnmWc9GpRWj5e0vcf34fdZzr4MSQE6hauqrSYRWoevU0dycaPlzzesECzW0x9+5VNi4iIiLKGaNMOLNr5MiRcHR0RP369bFgwQKkpLycxzIoKAgBAQFQq9W6sjZt2iAiIgKhoaHpri8+Ph4xMTG6R2whnG5LSknCh9s/xPt/v4/ElET0qNkDh987jHIO5Qr8sw2BnR3wyy+aS+oVKmj6dbZqBbz/Pvt2EhERGYsim3B+/fXXWLduHfbu3YtevXrh448/xjfffKNbHhUVhbJly+q9R/s6Kioq3XVOnz4dDg4OuoeXl1fBbQCAxy8eo+2Ktvj5xM8AgKnNp2L126thbW5doJ9riJo3B86dAz78UPN60SLN2c49e5SNi4iIiLJmMAnnpEmT0h3o8+rj5MmT2V7fl19+CX9/f/j6+uLjjz/GlClT8P333+vVUalUeq+1l9JTl2uNHz8e0dHRuselAp4ocuqhqdgXsg8AMOH1Cfji9S8yjK04sLUFfvoJCAzU9PEMCwPat+eZTiIiIkNnMDfnHjlyJHr16pVpnfLly+d6/Y0aNUJMTAzu3r2LsmXLwtnZOc2ZzHv37gFAmjOfWmq1Wu8SfEwBZzpv1ngTv5/7HQ+eP8DUf6YiNiEWXzf/GjYWNgX6uYYuIEAzet3ODkhKAuLjlY6IiIiIMmMwCaejoyMcHR0LbP3BwcGwtLTUTaPk7++Pzz//HAkJCbCwsAAA7N69G66urnlKbPPTa+Vew+URlzFm1xisOLcCc47OweYrm7Gw40K0qtRK6fAUZfbKnvvK/wBERERkgAzmknpO3L59G2fOnMHt27eRnJyMM2fO4MyZM3j6VDMR+tatW7Fo0SJcuHAB//33HxYvXowvvvgC77//vu4MZZ8+faBWqzFgwABcuHABmzZtwjfffIOxY8ca1GVrR2tH/PHmH9jeZzvKOZRDyJMQtF7RGgM2D8CjF4+UDk8xr57VZMJJRERk2FRiiHMAZWHAgAFYvnx5mvIDBw6gWbNm2LlzJ8aPH48bN24gJSUFFStWxODBgzFixAiYvXJq7Pz58xgxYgSOHz+OkiVL4oMPPsCECROynXCGh4fDw8MDYWFhcHd3z7fty0hsfCy+3P8l5h6fC4HAycYJ89rPw9tebxf4Zxuae/cAbc+HlBTAgP5HICKiIqiwv/OLGqNMOA2FEjtfXFIcPt3zKX46/hMAQAUVbn50E+VLlC+UzzcUERGAm5vm52nTgP/9T/8yOxERUX5iwpk3RnlJvTi6dP8SxuwcA7fZbrpk00Rlgu41u8PZ1lnh6AqfszPQo4fm5y++AJo2Ba5fVzYmIiIiSh/PCRmw54nPse7iOiw6vQj/hv2rK/ew98CgOoPwXp334OHgoWCEyjExAVavBjp00MzNefQo4OsLfP+95haYvMRORERkOJhwGqCzUWex6PQirDi3AtHx0QAAU5UpOlXrhCF1h6BNpTYwNTFVOErlqVTAu+8CzZoBAwdq7kY0YgTw11/AkiUAr3gQEREZBiacBiI5JRnLzizDwlMLcSLihK68QokKGFx3MAb6DoSLnYuCERqucuU0dxz6+Wfg00+B3bsBHx9g3jygd2+loyMiIiImnAZi4amFGLF9BADA3MQcXat3xfv13keLCi1gomJX26yYmACjRgGtWwMdOwL//Qf06QPUrg0U8B1IiYiIKAvMZAzE656vo5RVKQBASauSGNVwFN6o+AaTzRxISQHWrgVu3tS8rlcP8PRUNiYiIiJiwmkwvJ28cXLISdQqWwv3nt1Di+UtsPDkQqXDMhoPH2rObE6cCIgAQ4YAhw8DNsX7LqBEREQGgQmnAalQsgKOvHcE3b26IzElER9s+wCzg2YrHZbBi48HmjQBduwALC2BpUuBX3/V/ExERETKY8JpYGwsbLCm2xq8VeMtAMCFexcUjsjwiQDh4Zqfx48HBgxQNBwiIiJKhQmnAVKpVLj37B4AoIlHE4WjMXyWlsDUqZqf58wBoqKUjYeIiIj0MeE0QC8SX+D4neMANIOJKGsjRwJ16wJPngBjxigdDREREb2KCacBOn7nOBKSE+Bs64zKpSorHY5RMDMDFi16eQeinTuVjoiIiIi0mHAaoEO3DgHQnN1U8R6N2VanjuZWl4DmdpdERERkGJhwGqBHLx4BAMrZl1M4EuMgormdZb16wNatmrLkZM2DiIiIlMeE0wC52rkCACKeRigciWETATZv1vTd7NoVCA4GbG2Bzz4Djh8HTHm7eSIiIoPAW1saIHd7dwDAnZg7CkdimFJSNInmlCnA2bOaMltbzWX0sWMBR0dFwyMiIqJUmHAaIG3CGR4TrnAkhiUlBdi0SZNonjunKbO11dxDfexYoHRpZeMjIiKi9DHhNEBu9m4AgDuxdyAiHDgEYO9eYNy4l2c07ew0ieaYMUw0iYiIDB0TTgPkbu8OcxNzxCXF4Xb0bXiW8FQ6JMVcvgx88gmwbZvmtZ0d8NFHmkSzVCllYyMiIqLs4aAhA2RhagFvJ28AwKnIUwpHo4wHDzSTufv4aJJNMzPNGc2QEODrr5lsEhERGRMmnAaqrktdAMDpyNMKR1K44uOBmTOBypWBX37RTG3UpQtw8SLw44+8fE5ERGSMmHAaqHou9QAUnzOcIsD69UCNGppL6NHRgK8vsH+/ZkR61apKR0hERES5xT6cBkp7hvNURNFPOJ8+Bd56C9izR/PaxQX45hugXz/OpUlERFQUMOE0UM62zgCAJ3FPivRI9efPgU6dgMBAwMoK+N//NGc4bWyUjoyIiIjyCxNOA3UnVjPpu5u9W5FNNuPigDff1CSbdnaaM5wNGyodFREREeU39uE0UGHRYQBeTgJf1CQkAD16ALt3A9bWwPbtTDaJiIiKKiacBkp7lyEPew+FI8l/SUlAnz7A1q2ApaXm+bXXlI6KiIiICgoTTgMVFqM5w+lm56ZwJPnrxQtNsrlhA2BhoblVZYsWSkdFREREBYkJp4EqYVkCALD75m4kpSQpG0w+iYwEmjUD1q3TTOS+bh3Qtq3SUREREVFBY8JpoD5s8CFKWpbEubvnsOjUIqXDybPTp4H69YHjxzV3Cdq9G+jcWemoiIiIqDAYZcI5bdo0NG7cGNbW1ihRokSa5cuWLYNKpUr3ce/ePQBAaGhoust37txZyFuTvtLWpfF1868BAF8e+BKPXjxSOKLc27BB00fzzh2genXg2DGgeXOloyIiIqLCYpQJZ0JCArp3745hw4alu7xnz56IjIzUe7Rp0wYBAQFwcnLSq7t37169ei0MqEPhUL+h8HHywaMXjzDxwESlw8kxEWDKFKBbN03fzbZtgaNHNbetJCIiouLDKBPOyZMnY8yYMfDx8Ul3uZWVFZydnXUPU1NT7N+/H4MGDUpTt3Tp0np1LSwsCjr8bDMzMcOPbX8EAMw/OR/XHl5TOKKcGTUKmPj/efLo0ZrR6A4OioZERERECjDKhDOnfv/9d1hbW6Nbt25plnXu3BlOTk5o0qQJ1q9fr0B0mWteoTlqONZAsiTj4r2LSoeTI9pbVU6aBMyZoxkoRERERMVPsUg4f/vtN/Tp0wdWVla6MltbW8yePRvr16/H9u3b0bJlS/Ts2RMrVqzIcD3x8fGIiYnRPWJjYws89sTkRNx8fBMA4O3kXeCfl5+8/z9cW1tl4yAiIiJlGUzCOWnSpAwH+mgfJ0+ezPF6g4KCcOnSpTSX0x0dHTFmzBg0aNAAfn5+mDJlCoYPH47vvvsuw3VNnz4dDg4OuoeXl1eO48mpKw+uID45HnYWdqhUqlKBf15+8vXVPJ85o2QUREREpDSDucg5cuRI9OrVK9M65cuXz/F6Fy9eDF9fX9SrVy/Luo0aNcLixYszXD5+/HiMHTtW9/rOnTsFnnQGRwUDAHydfWGiMpj/D7KFCScREREBBpRwOjo6wtHRMV/X+fTpU6xduxbTp0/PVv3g4GC4uLhkuFytVkOtVutex8TE5DnGjKRICg7fPoxFpzVzcNZ1qVtgn1VQatfWPF++DMTFaW5jSURERMWPwSScOXH79m08evQIt2/fRnJyMs78/ym0ypUrw/aVDoNr1qxBUlIS+vbtm2Ydy5cvh7m5OerUqQMTExNs3boVP/30E7799tvC2ox03Xh0A3+c/QN/nPsDIU9CdOXNyxvfxJXak8WWloCJcZ2cJSIionxklAnnhAkTsHz5ct3rOnXqAAAOHDiAZs2a6cqXLFmCt956CyVLlkx3PVOnTsWtW7dgamqKqlWr4rfffsM777xToLGn5/GLx1h7cS1+P/c7joQd0ZXbWdihu1d3DPAdgKaeTQs9rrzYskUzBycAzJunuW86ERERFU8qERGlgzBW4eHh8PDwQFhYGNzd3XP03sTkROy8sRO/n/sdW65uQUJyAgDARGWC1pVa491a76JL9S6wNrcuiNAL1NWrmttYxsYCH34I/PST0hERERHlTV6+88lIz3AaKxFBcFQwfj/7O/48/yfuP7+vW+bj5IP+tfujj08fuNhl3I/U0MXEAF27apLNpk2BWbOUjoiIiIiUxoSzkDx4/gDtV7bHiYgTujInGyf09emL/rX7o7ZzbQWjyz/vvw9cuQK4uQHr1gHm5kpHREREREpjwllIop5G4VTkKb2y2PhYnIk6A1sLW9x9dhf+7v6wU9spFGHe3b0LrFmj+XnDBqBsWWXjISIiIsPAhLOQeDt5I3hoMHbd2IXDYYdx+PZhPHrxCAdCD+BA6AEAmv6bvs6+eM3jNTT1bIomHk2M6vL6rl2a57p1gYYNlY2FiIiIDAcTzkJUq2wt1CpbC5/gE6RICq48uILDtw/rHiFPQnA68jROR57GT8c1I20qlayE18q9hgG+A9CsfDNlNyALO3Zontu1UzYOIiIiMiwcpZ4H+T1iLTwmHP/e/leTgIYdxtmosxBofj2lrErh4f8e5vkzCpKrKxAZCRw6pBkwREREVFRwlHre8AynAXG3d0dP757o6d0TABAdF42NlzfivS3vISklSeHoMpeSounDCQCVjOuW70RERFTAeP8XA+Zg6QBfZ18AgK2FbeaVFfbokSbpBIB8vkMpERERGTkmnAbuacJTAIafcN7//ylFS5TgXYWIiIhIHxNOA2dsCWeZMsrGQURERIaHCaeBe5H0AgBgZWalcCSZe/JE8+zgoGgYREREZICYcBo4G3MbAMCzxGcKR5I5Z2fNc2SksnEQERGR4WHCaeAcLDWnDJ/EPVE2kCxUqKB5jogA4uKUjYWIiIgMCxNOA1fCsgQAw084HR0BW1tABLh1S+loiIiIyJAw4TRw2oQzOi4aKZKibDCZUKlenuUMCVE2FiIiIjIsTDgNnHZ0ukDwPPG5wtFkTptwhoYqGgYREREZGCacBu7hc83tLC1MLXQDiAyVduDQvXvKxkFERESGhQmngYuIjQAAuNi6QKVSKRxN5rRzcGrn5CQiIiICmHAaPG3C6WrnqnAkWdPe0pIJJxEREb3KTOkAKHORTzUTWwaFB+HHoz8CAKzNrTGk3hAlw0pXfLzmec0aYPVqZWMhIiIiw8GE08Bpb20JAKN3jQYAlLUpa5AJ53PDHtNERERECmHCaeDeqfUOQp+EIjo+WlfmoDbM+0d26wZMmQL07q10JERERGRImHAaOHd7dyzouEDpMLLFx0cz8TsRERHRqzhoiIiIiIgKFBNOIiIiIipQTDiJiIiIqEAx4SQiIiKiAsWEk4iIiIgKFBNOIiIiIipQTDiJiIiIqEAx4SQiIiKiAmV0CWdoaCgGDRqEChUqwMrKCpUqVcLEiRORkJCgV+/27dvo1KkTbGxs4OjoiFGjRqWpc/78eQQEBMDKygpubm6YMmUKhDOXExEREeUro7vT0JUrV5CSkoKFCxeicuXKuHDhAoYMGYJnz55h5syZAIDk5GR06NABZcqUweHDh/Hw4UP0798fIoK5c+cCAGJiYtCqVSs0b94cJ06cwLVr1zBgwADY2Njg448/VnITiYiIiIoUlRSBU3rff/895s+fj5s3bwIAduzYgY4dOyIsLAyurq4AgNWrV2PAgAG4d+8e7O3tMX/+fIwfPx53796FWq0GAMyYMQNz585FeHg4VCpVlp8bHh4ODw8PhIWFwd3dveA2kIiIiBTF7/y8MbpL6umJjo5GqVKldK+DgoLg7e2tSzYBoE2bNoiPj8epU6d0dQICAnTJprZOREQEQkNDCy12IiIioqLO6C6pp/bff/9h7ty5mDVrlq4sKioKZcuW1atXsmRJWFhYICoqSlenfPnyenW074mKikKFChXSfFZ8fDzi4+N1r6OjowEAkZGR+bItREREZJi03/UpKSkKR2KcDCbhnDRpEiZPnpxpnRMnTsDPz0/3OiIiAm3btkX37t0xePBgvbrpXRIXEb3y1HW0vQsyupw+ffr0dGNs0KBBpnETERFR0RAWFoZy5copHYbRMZiEc+TIkejVq1emdV49IxkREYHmzZvD398fv/76q149Z2dnHDt2TK/s8ePHSExM1J3FdHZ21p3t1Lp37x4ApDk7qjV+/HiMHTtW9/rRo0eoUKECLly4AAcHh8w3sJiKjY2Fl5cXLl26BDs7O6XDMThsn6yxjbLGNsoc2ydrbKOsRUdHw9vbGzVq1FA6FKNkMAmno6MjHB0ds1X3zp07aN68OerVq4elS5fCxES/K6q/vz+mTZuGyMhIuLi4AAB2794NtVqNevXq6ep8/vnnSEhIgIWFha6Oq6trmkvtWmq1Wq/Pp5aHhwfs7e2zu6nFSkxMDADAzc2NbZQOtk/W2EZZYxtlju2TNbZR1rTtYmZmMKmTUTG6QUMRERFo1qwZPDw8MHPmTNy/fx9RUVF6Zytbt24NLy8v9OvXD8HBwdi3bx/GjRuHIUOG6HaYPn36QK1WY8CAAbhw4QI2bdqEb775BmPHjs3WCHUiIiIiyh6jS9N3796NGzdu4MaNG2mmJdD2wTQ1NcW2bdswfPhwNGnSBFZWVujTp49unk4AcHBwwJ49ezBixAj4+fmhZMmSGDt2rN4lcyIiIiLKO6NLOAcMGIABAwZkWa9cuXL4+++/M63j4+ODQ4cO5ToWtVqNiRMnpnuZnTTYRplj+2SNbZQ1tlHm2D5ZYxtljW2UN0Vi4nciIiIiMlxG14eTiIiIiIwLE04iIiIiKlBMOImIiIioQDHhzMKkSZOgUqn0Hs7OzrrlIoJJkybB1dUVVlZWaNasGS5evKhgxAXv0KFD6NSpE1xdXaFSqbB582a95dlpk/j4eHz44YdwdHSEjY0NOnfujPDw8ELcioKVVRsNGDAgzX7VqFEjvTpFuY2mT5+O+vXrw87ODk5OTujatSuuXr2qV6c470fZaZ/ivg/Nnz8ftWrVgr29Pezt7eHv748dO3bolhfn/UcrqzYq7vtQatOnT4dKpcLo0aN1ZdyP8g8TzmyoWbMmIiMjdY/z58/rln333XeYPXs2fv75Z5w4cQLOzs5o1aoVYmNjFYy4YD179gy1a9fGzz//nO7y7LTJ6NGjsWnTJqxevRqHDx/G06dP0bFjRyQnJxfWZhSorNoIANq2bau3X23fvl1veVFuo4MHD2LEiBE4evQo9uzZg6SkJLRu3RrPnj3T1SnO+1F22gco3vuQu7s7ZsyYgZMnT+LkyZNo0aIFunTpoksGivP+o5VVGwHFex961YkTJ/Drr7+iVq1aeuXcj/KRUKYmTpwotWvXTndZSkqKODs7y4wZM3RlcXFx4uDgIAsWLCikCJUFQDZt2qR7nZ02efLkiZibm8vq1at1de7cuSMmJiayc+fOQou9sKRuIxGR/v37S5cuXTJ8T3Fro3v37gkAOXjwoIhwP0otdfuIcB9KT8mSJWXx4sXcfzKhbSMR7kNasbGxUqVKFdmzZ48EBATIRx99JCI8DuU3nuHMhuvXr8PV1RUVKlRAr169cPPmTQBASEgIoqKi0Lp1a11dtVqNgIAAHDlyRKlwFZWdNjl16hQSExP16ri6usLb27tYtVtgYCCcnJxQtWpVDBkyBPfu3dMtK25tFB0dDQAoVaoUAO5HqaVuHy3uQxrJyclYvXo1nj17Bn9/f+4/6UjdRlrch4ARI0agQ4cOeOONN/TKuR/lL6Ob+L2wNWzYEL///juqVq2Ku3fvYurUqWjcuDEuXryou51m2bJl9d5TtmxZ3Lp1S4lwFZedNomKioKFhQVKliyZps6rtygtytq1a4fu3bvD09MTISEh+Oqrr9CiRQucOnUKarW6WLWRiGDs2LF47bXX4O3tDYD70avSax+A+xAAnD9/Hv7+/oiLi4OtrS02bdoELy8v3Rc995+M2wjgPgQAq1evxunTp3HixIk0y3gcyl9MOLPQrl073c8+Pj7w9/dHpUqVsHz5cl3n6tT3XheRYn8/9ty0SXFqt549e+p+9vb2hp+fHzw9PbFt2za89dZbGb6vKLbRyJEjce7cORw+fDjNMu5HGbcP9yGgWrVqOHPmDJ48eYINGzagf//+OHjwoG4595+M28jLy6vY70NhYWH46KOPsHv3blhaWmZYj/tR/uAl9RyysbGBj48Prl+/rhutnvq/mHv37qX5j6i4yE6bODs7IyEhAY8fP86wTnHj4uICT09PXL9+HUDxaaMPP/wQW7ZswYEDB+Du7q4r536kkVH7pKc47kMWFhaoXLky/Pz8MH36dNSuXRs//vgj959XZNRG6Slu+9CpU6dw79491KtXD2ZmZjAzM8PBgwfx008/wczMTLeN3I/yBxPOHIqPj8fly5fh4uKCChUqwNnZGXv27NEtT0hIwMGDB9G4cWMFo1ROdtqkXr16MDc316sTGRmJCxcuFNt2e/jwIcLCwuDi4gKg6LeRiGDkyJHYuHEj9u/fjwoVKugtL+77UVbtk57itg+lR0QQHx9f7PefzGjbKD3FbR9q2bIlzp8/jzNnzugefn5+6Nu3L86cOYOKFStyP8pPhT1Kydh8/PHHEhgYKDdv3pSjR49Kx44dxc7OTkJDQ0VEZMaMGeLg4CAbN26U8+fPS+/evcXFxUViYmIUjrzgxMbGSnBwsAQHBwsAmT17tgQHB/8fe3ceFlXZvwH8HrZhE1xAFkFwV9wFFzBDLEUzbVfTFEpNSzJF63UrkTJb1BZLrVdC3zK1XPpZmeKKmrg2uKG5gSyCigsgyCI8vz8mRkd25MyZ5f5c11wz55xnDt95OA63z9nE5cuXhRDV65OJEycKDw8PsWPHDvH333+Lfv36ic6dO4t79+7J9bHqVGV9lJOTI6ZNmyYOHDggEhMTxe7du4W/v79o0qSJyfTRG2+8IRwdHcWePXtEenq65pGXl6dpY8rbUVX9w21IiJkzZ4q9e/eKxMREceLECTFr1ixhZmYmYmJihBCmvf2UqqyPuA2V78Gz1IXgdlSXGDirMHz4cOHm5iYsLS2Fu7u7eP7558Xp06c1y0tKSsTcuXOFq6urUCqV4vHHHxcnT56UsWLp7d69WwAo8wgJCRFCVK9P7t69K8LCwkTDhg2FjY2NePrpp0VycrIMn0YalfVRXl6eGDBggHB2dhaWlpaiadOmIiQkpMznN+Y+Kq9vAIjo6GhNG1PejqrqH25DQrz22mvCy8tLWFlZCWdnZ/HEE09owqYQpr39lKqsj7gNle/hwMntqO4ohBBCd+OpRERERGRqeAwnEREREUmKgZOIiIiIJMXASURERESSYuAkIiIiIkkxcBIRERGRpBg4iYiIiEhSDJxEREREJCkGTiIiIiKSFAMnEREREUmKgZOIiIiIJMXASURERESSYuAkIiIiIkkxcBIRERGRpBg4iYiIiEhSDJxEREREJCkGTiIiIiKSFAMnEREREUmKgZOIiIiIJMXAWYWlS5eiWbNmsLa2hq+vL/bt21dp+9jYWPj6+sLa2hrNmzfH8uXLdVSpbtSkPzZu3Ij+/fvD2dkZDg4O8Pf3x7Zt23RYrbRqum2U+uuvv2BhYYEuXbpIW6CO1bQ/CgoKMHv2bHh5eUGpVKJFixb4/vvvdVSt9GraH6tXr0bnzp1ha2sLNzc3vPrqq7hx44aOqpXW3r17MWTIELi7u0OhUODXX3+t8j3G+l1a074w9u/R2mwbpYz1u9RYMXBWYt26dZgyZQpmz54NlUqFPn36YNCgQUhOTi63fWJiIp566in06dMHKpUKs2bNwuTJk7FhwwYdVy6NmvbH3r170b9/f2zZsgXHjh1DUFAQhgwZApVKpePK615N+6JUVlYWxowZgyeeeEJHlepGbfpj2LBh2LlzJ6KiovDPP/9gzZo1aNu2rQ6rlk5N+2P//v0YM2YMxo4di9OnT+OXX37BkSNHMG7cOB1XLo3c3Fx07twZX3/9dbXaG/N3aU37wpi/R4Ga90cpY/0uNWqCKtSjRw8xceJErXlt27YVM2bMKLf9u+++K9q2bas1b8KECaJXr16S1ahLNe2P8vj4+Ih58+bVdWk6V9u+GD58uJgzZ46YO3eu6Ny5s4QV6lZN++PPP/8Ujo6O4saNG7ooT+dq2h+fffaZaN68uda8r776Snh4eEhWo1wAiE2bNlXaxti/S0tVpy/KYyzfow+rSX8Y63epMeMIZwUKCwtx7NgxDBgwQGv+gAEDcODAgXLfExcXV6Z9cHAwjh49iqKiIslq1YXa9MfDSkpKkJOTg4YNG0pRos7Uti+io6Nx8eJFzJ07V+oSdao2/bF582b4+fnh008/RZMmTdC6dWtMnz4dd+/e1UXJkqpNfwQEBCA1NRVbtmyBEAJXr17F+vXrMXjwYF2UrHeM+bv0URnL9+ijMNbvUmNnIXcB+iozMxPFxcVwcXHRmu/i4oKMjIxy35ORkVFu+3v37iEzMxNubm6S1Su12vTHwxYtWoTc3FwMGzZMihJ1pjZ9cf78ecyYMQP79u2DhYVx/bOrTX9cunQJ+/fvh7W1NTZt2oTMzEy8+eabuHnzpsEfx1mb/ggICMDq1asxfPhw5Ofn4969exg6dCiWLFmii5L1jjF/lz4qY/kerS1j/i41dhzhrIJCodCaFkKUmVdV+/LmG6qa9kepNWvWICIiAuvWrUPjxo2lKk+nqtsXxcXFGDlyJObNm4fWrVvrqjydq8m2UVJSAoVCgdWrV6NHjx546qmnsHjxYqxcudIoRjmBmvVHQkICJk+ejPfffx/Hjh3D1q1bkZiYiIkTJ+qiVL1k7N+ltWGM36M1YSrfpcaK/z2ogJOTE8zNzcuMSFy7dq3M/7xLubq6ltvewsICjRo1kqxWXahNf5Rat24dxo4di19++QVPPvmklGXqRE37IicnB0ePHoVKpUJYWBgAdeASQsDCwgIxMTHo16+fTmqXQm22DTc3NzRp0gSOjo6aee3atYMQAqmpqWjVqpWkNUupNv2xYMEC9O7dG++88w4AoFOnTrCzs0OfPn3w4YcfmtyInjF/l9aWsX2P1oaxf5caO45wVsDKygq+vr7Yvn271vzt27cjICCg3Pf4+/uXaR8TEwM/Pz9YWlpKVqsu1KY/APX/yENDQ/HTTz8ZzfFoNe0LBwcHnDx5EvHx8ZrHxIkT0aZNG8THx6Nnz566Kl0Stdk2evfujStXruDOnTuaeefOnYOZmRk8PDwkrVdqtemPvLw8mJlpfx2bm5sDuD+yZ0qM+bu0Nozxe7Q2jP271OjJc66SYVi7dq2wtLQUUVFRIiEhQUyZMkXY2dmJpKQkIYQQM2bMEKNHj9a0v3TpkrC1tRVTp04VCQkJIioqSlhaWor169fL9RHqVE3746effhIWFhbim2++Eenp6ZrH7du35foIdaamffEwYzuzsqb9kZOTIzw8PMSLL74oTp8+LWJjY0WrVq3EuHHj5PoIdaqm/REdHS0sLCzE0qVLxcWLF8X+/fuFn5+f6NGjh1wfoU7l5OQIlUolVCqVACAWL14sVCqVuHz5shDCtL5La9oXxvw9KkTN++NhxvZdaswYOKvwzTffCC8vL2FlZSW6desmYmNjNctCQkJEYGCgVvs9e/aIrl27CisrK+Ht7S2WLVum44qlVZP+CAwMFADKPEJCQnRfuARqum08yBi/JGvaH2fOnBFPPvmksLGxER4eHiI8PFzk5eXpuGrp1LQ/vvrqK+Hj4yNsbGyEm5ubGDVqlEhNTdVx1dLYvXt3pd8FpvRdWtO+MPbv0dpsGw8yxu9SY6UQwgT31xARERGRzvAYTiIiIiKSFAMnEREREUmKgZOIiIiIJMXASURERESSYuAkIiIiIkkxcBIRERGRpBg4iYiIiEhSDJyPoKCgABERESgoKJC7FL3A/tDG/tDG/riPfaGN/aGN/aGN/WEcTP7C70uXLsVnn32G9PR0tG/fHl988QX69OlTrfdmZ2fD0dERWVlZcHBwkLhS/cf+0Mb+0Mb+uI99oY39oY39oY39YRxMeoRz3bp1mDJlCmbPng2VSoU+ffpg0KBBSE5Olrs0IiIiIqNh0oFz8eLFGDt2LMaNG4d27drhiy++gKenJ5YtWyZ3aURERERGw0LuAuRSWFiIY8eOYcaMGVrzBwwYgAMHDpT7noKCAq1jSG7evAkASElJgaOjo3TFGoicnBwAQFpaGrKzs2WuRn7sD23sj/vYF9rYH9rYH9r0pT9KSkpw9epVdO3aFRYWJhufas1keywzMxPFxcVwcXHRmu/i4oKMjIxy37NgwQLMmzevzPwOHTpIUqOh8vHxkbsEvcL+0Mb+uI99oY39oY39oU1f+uPw4cPo3r273GUYHJMNnKUUCoXWtBCizLxSM2fORHh4uGY6JSUFHTp0wOHDh+Hm5iZpnURERCSf9PR09OjRo8xAFVWPyQZOJycnmJublxnNvHbtWoUbk1KphFKp1EyX7kZ3c3ODh4eHdMUSERGRXjAzM+nTX2rNZHvNysoKvr6+2L59u9b87du3IyAgQKaqiIiIiIyPyY5wAkB4eDhGjx4NPz8/+Pv747vvvkNycjImTpwod2lERERERsOkA+fw4cNx48YNREZGIj09HR06dMCWLVvg5eUld2lERERERsOkAycAvPnmm3jzzTflLoOIiIjIaJnsMZxk/K5du4YJEyagadOmUCqVcHV1RXBwMOLi4jRtFAoFfv311zr5eUlJSVAoFIiPj6+03Z49e6BQKHD79u0yy7p06YKIiAhNm8oeK1euBABs2LABffv2haOjI+zt7dGpUydERkZqrhNbHRs3bkT//v3h7OwMBwcH+Pv7Y9u2bWXabdiwAT4+PlAqlfDx8cGmTZu0li9YsADdu3dHvXr10LhxYzz77LP4559/NMuLiorwn//8Bx07doSdnR3c3d0xZswYXLlypcoab926hdGjR8PR0RGOjo4YPXp0mT58++234evrC6VSiS5dulT788fGxsLX1xfW1tZo3rw5li9frrX89OnTeOGFF+Dt7Q2FQoEvvviiWus9efIkAgMDYWNjgyZNmiAyMhIP3k24uv3+sAkTJqBFixawsbGBs7MznnnmGZw9e1azvLLt58iRI5Wuu6rfMaC+JXCzZs1gbW0NX19f7Nu3r1r9QUSmi4GTjNYLL7yA48ePY9WqVTh37hw2b96Mvn371iiIVVdhYWGdri8gIADp6emax7BhwzBw4ECtecOHD8fs2bMxfPhwdO/eHX/++SdOnTqFRYsW4fjx4/jhhx+q/fP27t2L/v37Y8uWLTh27BiCgoIwZMgQqFQqTZu4uDgMHz4co0ePxvHjxzF69GgMGzYMhw4d0rSJjY3FpEmTcPDgQWzfvh337t3DgAEDkJubCwDIy8vD33//jffeew9///03Nm7ciHPnzmHo0KFV1jhy5EjEx8dj69at2Lp1K+Lj4zF69GitNkIIvPbaaxg+fHi1P3tiYiKeeuop9OnTByqVCrNmzcLkyZOxYcMGTZu8vDw0b94cH3/8MVxdXau13uzsbPTv3x/u7u44cuQIlixZgoULF2Lx4sWaNtXp9/L4+voiOjoaZ86cwbZt2yCEwIABA1BcXAyg7PaTnp6OcePGwdvbG35+fhWutzq/Y94SmIhqRVCtpaSkCAAiJSVF7lLoIbdu3RIAxJ49eyps4+XlJQBoHl5eXkIIIS5cuCCGDh0qGjduLOzs7ISfn5/Yvn17mfd+8MEHIiQkRDg4OIgxY8ZorQuACAwMLPfn7t69WwAQt27dKrOsc+fOYu7cuWXmh4SEiGeeeUZr3qFDhwQA8cUXX1TYB4/Cx8dHzJs3TzM9bNgwMXDgQK02wcHBYsSIERWu49q1awKAiI2NrbDN4cOHBQBx+fLlCtskJCQIAOLgwYOaeXFxcQKAOHv2bJn2c+fOFZ07d65wfQ969913Rdu2bbXmTZgwQfTq1avc9l5eXuLzzz+vcr1Lly4Vjo6OIj8/XzNvwYIFwt3dXZSUlFT4vof7vTqOHz8uAIgLFy6Uu7ywsFA0btxYREZGVrqe6vyOe/ToISZOnKjVpm3btmLGjBk1qpnI0PBv/qPhCCcZJXt7e9jb2+PXX3/Vuh3pg0p3LUZHRyM9PV0zfefOHTz11FPYsWMHVCoVgoODMWTIkDIjOJ999hk6dOiAY8eO4b333sPhw4cBADt27EB6ejo2btwo4ScEVq9eDXt7+wqPQa5fvz6A+7v69+zZU+11l5SUICcnBw0bNtTMi4uLw4ABA7TaBQcHV3grWADIysoCAK31lNdGoVBo6i1PXFwcHB0d0bNnT828Xr16wdHRsdKfXx0Vfa6jR4+iqKjokdYbGBiode3e4OBgXLlyBUlJSeW+p7x+L909XtF7cnNzER0djWbNmsHT07PcNps3b0ZmZiZCQ0O15nt7eyMiIkKr5sp+x6W3BH64TWW3BCYiArhLnYyUhYUFVq5ciVWrVqF+/fro3bs3Zs2ahRMnTmjaODs7A1AHM1dXV810586dMWHCBHTs2BGtWrXChx9+iObNm2Pz5s1aP6Nfv36YPn06WrZsiZYtW2re36hRI7i6ulYasurC+fPn0bx5c1haWlbaztLSEm3atIGtrW21171o0SLk5uZi2LBhmnkZGRk1uhWsEALh4eF47LHHKrz9a35+PmbMmIGRI0fCwcGhwnoyMjLQuHHjMvMbN25c4c+vroo+171795CZmVnn6y1dVp7y+t3W1hZt2rQp83teunSp5j9WW7duxfbt22FlZVXueqOiohAcHFwmkLZo0QJOTk5V1lxab21uCUxEBDBwkhF74YUXcOXKFWzevBnBwcHYs2cPunXrpjnZpiK5ubl499134ePjg/r168Pe3h5nz54tM8JZ2bFwuiAquQ3rg5o0aYKzZ8+iR48e1VrvmjVrEBERgXXr1pUJeTW5FWxYWBhOnDiBNWvWlLu8qKgII0aMQElJCZYuXaqZP3HiRE2Qsre3r/BnV/Xzy/Pgeh+83m55n6uin1kTNVlvRf3eo0cPnD17Fk2aNNFqP2rUKKhUKsTGxqJVq1YYNmwY8vPzy6w3NTUV27Ztw9ixY8ss27lzJ8LCwqqs+eF5NdkOiIgAXhaJjJy1tTX69++P/v374/3338e4ceMwd+7cMrsWH/TOO+9g27ZtWLhwIVq2bAkbGxu8+OKLZU4MsrOzq1VNpSN5WVlZZXYj3759W3PL1Kq0bt0a+/fvR1FRUZWjnNW1bt06jB07Fr/88guefPJJrWWurq7VvhXsW2+9hc2bN2Pv3r3l3va1qKgIw4YNQ2JiInbt2qU1uhkZGYnp06eX+dlXr14ts57r16/X6L7GD15BoPRnVvS5LCws0KhRo2qv+2EVrRdAmZor6/eKlJ6t36pVK/Tq1QsNGjTApk2b8PLLL2u1i46ORqNGjap1YlZVv+Pa3BKYiAjgCCeZGB8fH80Z04B6d3Ppmb2l9u3bh9DQUDz33HPo2LEjXF1dKzx+7kGluzMfXt/DWrVqBTMzszKXp0lPT0daWhratGlTrc8ycuRI3LlzR2t08EHlXXapMmvWrEFoaCh++uknDB48uMxyf3//MreCjYmJ0boVrBACYWFh2LhxI3bt2oVmzZqVWU9p2Dx//jx27NhRJtQ1btxYc5hCy5YtNT87KytLc5wsABw6dAhZWVk1uhXtg+stHUWs6HP5+fk9UpD39/fH3r17tf6jEhMTA3d3d3h7e2vmVdXv1SWEKHO8shAC0dHRGDNmTLU+S1W/Y94SmIhqTaaTlYwCz1jTX5mZmSIoKEj88MMP4vjx4+LSpUvi559/Fi4uLuK1117TtGvVqpV44403RHp6urh586YQQohnn31WdOnSRahUKhEfHy+GDBki6tWrJ95++23N+8o7U7moqEjY2NiIDz/8UGRkZIjbt29XWN8bb7whmjZtKjZt2iQuXbok9u/fLwIDA0XHjh1FUVFRmfblnaUuhPoMa3Nzc/HOO++IAwcOiKSkJLFjxw7x4osvas5eT01NFW3atBGHDh2qsJ6ffvpJWFhYiG+++Uakp6drHg9+hr/++kuYm5uLjz/+WJw5c0Z8/PHHwsLCQuvM8TfeeEM4OjqKPXv2aK0nLy9P00dDhw4VHh4eIj4+XqtNQUFBhfUJIcTAgQNFp06dRFxcnIiLixMdO3YUTz/9tFab8+fPC5VKJSZMmCBat24tVCqVUKlUla770qVLwtbWVkydOlUkJCSIqKgoYWlpKdavX69pU1BQoFmXm5ubmD59ulCpVOL8+fMVrvf27dvCxcVFvPzyy+LkyZNi48aNwsHBQSxcuLBG/X7o0CHRpk0bkZqaKoQQ4uLFi+Kjjz4SR48eFZcvXxYHDhwQzzzzjGjYsKG4evWqVg07duwQAERCQkK5Nfbr108sWbJEM12d3/HatWuFpaWliIqKEgkJCWLKlCnCzs5OJCUlVdgXRMaAf/MfDQPnI+DGp7/y8/PFjBkzRLdu3YSjo6OwtbUVbdq0EXPmzNGEHyGE2Lx5s2jZsqWwsLDQXBYpMTFRBAUFCRsbG+Hp6Sm+/vprERgYWGXgFEKI//73v8LT01OYmZlVeFmk0voiIyNFu3bthI2NjfDy8hKhoaEiPT293PYVBU4hhFi3bp14/PHHRb169YSdnZ3o1KmTiIyM1FwWKTExUQAQu3fvrrCewMDAMpd1AiBCQkK02v3yyy+iTZs2wtLSUrRt21Zs2LBBa3l56wAgoqOjtWop71FZfUIIcePGDTFq1ChRr149Ua9ePTFq1Kgyl36q6HMkJiZWuu49e/aIrl27CisrK+Ht7S2WLVumtbyiuiv7HQshxIkTJ0SfPn2EUqkUrq6uIiIiQuuSSNXp99LLaJV+hrS0NDFo0CDRuHFjYWlpKTw8PMTIkSPLvTzUyy+/LAICAiqsz8vLq8xluKr6HQshxDfffCO8vLyElZWV6NatW6WXvSIyFvyb/2gUQjxw2wuqkdTUVHh6eiIlJaXc49SIiIjIOPBv/qPhMZxEREREJCkGTiIiIiKSFAMnEREREUmKgZOIiIiIJMXASURERESSYuAkIiIiIkkxcBIRERGRpBg4iYiIiEhSDJxEREREJCkGTiIiIiKSFAMnEREREUmKgZOIiIiIJMXASURERESSYuAkIiIiIkkxcBIRERGRpBg4iYiIiEhSDJxEREREJCkGTiIiIiKSFAMnEREREUnK6AJnUlISxo4di2bNmsHGxgYtWrTA3LlzUVhYqNVOoVCUeSxfvlymqomIiIiMl4XcBdS1s2fPoqSkBN9++y1atmyJU6dOYfz48cjNzcXChQu12kZHR2PgwIGaaUdHR12XS0RERGT0jC5wDhw4UCtENm/eHP/88w+WLVtWJnDWr18frq6uui6RiIiIyKQY3S718mRlZaFhw4Zl5oeFhcHJyQndu3fH8uXLUVJSIkN1RERERMbN6EY4H3bx4kUsWbIEixYt0pr/wQcf4IknnoCNjQ127tyJadOmITMzE3PmzKlwXQUFBSgoKNBM5+TkSFY3ERERkbEwmBHOiIiIck/0efBx9OhRrfdcuXIFAwcOxEsvvYRx48ZpLZszZw78/f3RpUsXTJs2DZGRkfjss88qrWHBggVwdHTUPHx8fOr8cxIREREZG4UQQshdRHVkZmYiMzOz0jbe3t6wtrYGoA6bQUFB6NmzJ1auXAkzs8qz9V9//YXHHnsMGRkZcHFxKbfNwyOcaWlp8PHxQUpKCjw8PGr4iYiIiMhQpKamwtPTk3/za8lgdqk7OTnBycmpWm3T0tIQFBQEX19fREdHVxk2AUClUsHa2hr169evsI1SqYRSqdRMZ2dnV6seIiIiIlNmMIGzuq5cuYK+ffuiadOmWLhwIa5fv65ZVnpG+m+//YaMjAz4+/vDxsYGu3fvxuzZs/H6669rBUoiIiIienRGFzhjYmJw4cIFXLhwocyQd+nRA5aWlli6dCnCw8NRUlKC5s2bIzIyEpMmTZKjZCIiIiKjZjDHcOojHs9BRERkGvg3/9EYzFnqRERERGSYGDiJiIiISFIMnEREREQkKQZOIiIiIpIUAycRERERSYqBk4iIiIgkxcBJRERERJJi4CQiIiIiSTFwEhEREZGkGDiJiIiISFIMnEREREQkKQZOIiIiIpIUAycRERERSYqBk4iIiIgkxcBJRERERJJi4CQiIiIiSTFwEhEREZGkGDiJiIiISFIMnEREREQkKQZOIiIiIpIUAycRERERSYqBk4iIiIgkxcBJRERERJJi4CQiIiIiSTFwEhEREZGkGDiJiIiISFIMnEREREQkKQZOIiIiIpIUAycRERERSYqBk4iIiIgkxcBJRERERJIyysDp7e0NhUKh9ZgxY4ZWm+TkZAwZMgR2dnZwcnLC5MmTUVhYKFPFRERERMbLQu4CpBIZGYnx48drpu3t7TWvi4uLMXjwYDg7O2P//v24ceMGQkJCIITAkiVL5CiXiIiIyGgZbeCsV68eXF1dy10WExODhIQEpKSkwN3dHQCwaNEihIaGYv78+XBwcNBlqURERERGzSh3qQPAJ598gkaNGqFLly6YP3++1u7yuLg4dOjQQRM2ASA4OBgFBQU4duyYHOUSERERGS2jHOF8++230a1bNzRo0ACHDx/GzJkzkZiYiBUrVgAAMjIy4OLiovWeBg0awMrKChkZGRWut6CgAAUFBZrpnJwcaT4AERERkRExmBHOiIiIMicCPfw4evQoAGDq1KkIDAxEp06dMG7cOCxfvhxRUVG4ceOGZn0KhaLMzxBClDu/1IIFC+Do6Kh5+Pj41P0HJSIiIjIyBjPCGRYWhhEjRlTaxtvbu9z5vXr1AgBcuHABjRo1gqurKw4dOqTV5tatWygqKioz8vmgmTNnIjw8XDOdlpbG0ElERERUBYMJnE5OTnBycqrVe1UqFQDAzc0NAODv74/58+cjPT1dMy8mJgZKpRK+vr4VrkepVEKpVGqms7Oza1UPERERkSkxmMBZXXFxcTh48CCCgoLg6OiII0eOYOrUqRg6dCiaNm0KABgwYAB8fHwwevRofPbZZ7h58yamT5+O8ePH8wx1IiIiojpmdIFTqVRi3bp1mDdvHgoKCuDl5YXx48fj3Xff1bQxNzfHH3/8gTfffBO9e/eGjY0NRo4ciYULF8pYOREREZFxMrrA2a1bNxw8eLDKdk2bNsXvv/+ug4qIiIiITJvBnKVORERERIaJgZOIiIiIJMXASURERESSYuAkIiIiIkkxcBIRERGRpBg4iYiIiEhSDJxEREREJCkGTiIiIiKSFAMnEREREUmKgZOIiIiIJMXASURERESSYuAkIiIiIkkxcBIRERGRpBg4iYiIiEhSDJxEREREJCkGTiIiIiKSFAMnEREREUmKgZOIiIiIJMXASURERESSYuAkIiIiIkkxcBIRERGRpBg4iYiIiEhSDJxEREREJCkGTiIiIiKSFAMnEREREUmKgZOIiIiIJMXASURERESSYuAkIiIiIkkxcBIRERGRpBg4iYiIiEhSDJxEREREJCmjC5x79uyBQqEo93HkyBFNu/KWL1++XMbKiYiIiIyThdwF1LWAgACkp6drzXvvvfewY8cO+Pn5ac2Pjo7GwIEDNdOOjo46qZGIiIjIlBhd4LSysoKrq6tmuqioCJs3b0ZYWBgUCoVW2/r162u1JSIiIqK6Z3S71B+2efNmZGZmIjQ0tMyysLAwODk5oXv37li+fDlKSkp0XyARERGRkTO6Ec6HRUVFITg4GJ6enlrzP/jgAzzxxBOwsbHBzp07MW3aNGRmZmLOnDkVrqugoAAFBQWa6ZycHMnqJiIiIjIWBjPCGRERUeHJQKWPo0ePar0nNTUV27Ztw9ixY8usb86cOfD390eXLl0wbdo0REZG4rPPPqu0hgULFsDR0VHz8PHxqdPPSERERGSMFEIIIXcR1ZGZmYnMzMxK23h7e8Pa2loz/cEHH2DJkiVIS0uDpaVlpe/966+/8NhjjyEjIwMuLi7ltnl4hDMtLQ0+Pj5ISUmBh4dHDT4NERERGZLU1FR4enryb34tGcwudScnJzg5OVW7vRAC0dHRGDNmTJVhEwBUKhWsra1Rv379CtsolUoolUrNdHZ2drXrISIiIjJVBhM4a2rXrl1ITEwsd3f6b7/9hoyMDPj7+8PGxga7d+/G7Nmz8frrr2sFSiIiIiJ6dEYbOKOiohAQEIB27dqVWWZpaYmlS5ciPDwcJSUlaN68OSIjIzFp0iQZKiUiIiIybgZzDKc+4vEcREREpoF/8x+NwZylTkRERESGiYGTiIiIiCTFwElEREREkmLgJCIiIiJJMXASERERkaQYOImIiIhIUgycRERERCQpBk4iIiIikhQDJxERERFJioGTiIiIiCTFwElEREREkmLgJCIiIiJJMXASERERkaQYOImIiIhIUgycRERERCQpBk4iIiIikhQDJxERERFJioGTiIiIiCTFwElEREREkmLgJCIiIiJJMXASERERkaQYOImIiIhIUgycRERERCQpBk4iIiIikhQDJxERERFJioGTiIiIiCTFwElEREREkmLgJCIiIiJJMXASERERkaQYOImIiIhIUgycRERERCQpgwyc8+fPR0BAAGxtbVG/fv1y2yQnJ2PIkCGws7ODk5MTJk+ejMLCQq02J0+eRGBgIGxsbNCkSRNERkZCCKGDT0BERERkOizkLqA2CgsL8dJLL8Hf3x9RUVFllhcXF2Pw4MFwdnbG/v37cePGDYSEhEAIgSVLlgAAsrOz0b9/fwQFBeHIkSM4d+4cQkNDYWdnh2nTpun6IxEREREZLYMMnPPmzQMArFy5stzlMTExSEhIQEpKCtzd3QEAixYtQmhoKObPnw8HBwesXr0a+fn5WLlyJZRKJTp06IBz585h8eLFCA8Ph0Kh0NXHISIiIjJqBrlLvSpxcXHo0KGDJmwCQHBwMAoKCnDs2DFNm8DAQCiVSq02V65cQVJSUrnrLSgoQHZ2tuaRk5Mj6ecgIiIiMgZGGTgzMjLg4uKiNa9BgwawsrJCRkZGhW1Kp0vbPGzBggVwdHTUPHx8fCSonoiIiMi46E3gjIiIgEKhqPRx9OjRaq+vvF3iQgit+Q+3KT1hqKLd6TNnzkRWVpbmkZCQUO16iIiIiEyV3hzDGRYWhhEjRlTaxtvbu1rrcnV1xaFDh7Tm3bp1C0VFRZpRTFdX1zIjmdeuXQOAMiOfpZRKpdYu+Ozs7GrVQ0RERGTK9CZwOjk5wcnJqU7W5e/vj/nz5yM9PR1ubm4A1CcSKZVK+Pr6atrMmjULhYWFsLKy0rRxd3evdrAlIiIioqrpzS71mkhOTkZ8fDySk5NRXFyM+Ph4xMfH486dOwCAAQMGwMfHB6NHj4ZKpcLOnTsxffp0jB8/Hg4ODgCAkSNHQqlUIjQ0FKdOncKmTZvw0Ucf8Qx1IiIiojqmNyOcNfH+++9j1apVmumuXbsCAHbv3o2+ffvC3Nwcf/zxB95880307t0bNjY2GDlyJBYuXKh5j6OjI7Zv345JkybBz88PDRo0QHh4OMLDw3X+eYiIiIiMmULw1jq1lpqaCk9PT6SkpMDDw0PucoiIiEgi/Jv/aAxyl7qp+fXsr0i4zjPi9dnVq0BUFMD/vhEREZXFwKnnruVeQ8ivIei0rBMOph6UuxwqhxDAxInAuHHA1KlyV0NERKR/GDj13Kyds5BdkI0url3Qo0kPucuhcvz4I/Drr4ClJfDaa3JXQ0REpH8YOPXYsSvH8L3qewDAV4O+gpmCvy59k5oKvPWW+vW8eUCnTvLWQ0REpI+YYPSUEAJv/fkWBARGdRyFAM8AuUuihwgBjB0LZGUBPXoA77wjd0VERET6iYFTT60+uRpxqXGws7TDJ09+Inc5VI5vvwViYgBra2DVKsDCIC8yRkREJD3+idRTn/ylDpmz+sxCE4cmMldDpbKygJ9/VgfMv/5Sz1uwAGjbVt66iIiI9BkDp56yMlffbtO7vre8hRCKi4EdO9Qhc9MmID9fPd/MDBgzBpg8Wd76iIiI9B13qeupft79AAC7EnfJXInpSkgA/vMfoGlTYOBAYM0addj08QE++QRISQGio9XBk4iIiCrGEU491a9ZPyyMW8jAqWM3bgBr16pHM48cuT+/YUPg5ZeB0FDA1xdQKGQrkYiIyOAwcOqpPl59YGFmgcTbiUi8lYhmDZrJXZLREgL44w9g5Upg82agqEg938ICeOopICQEGDwYUCplLZOIiMhgcWegnrK3skfPJj0BANsubpO5GuP25ZfAkCHAhg3qsNmlC/D550BaGvB//wc8/zzDJhER0aNg4NRjz7R5BgCwMn6lvIUYudOn1c/BwcDx44BKBUyZAjRuLGtZRERERoOBU4+N6TwGFmYWOJR2CCevnpS7HKOVlaV+HjyYdwoiIiKSAgOnHnOxd9GMcpbe4pLq3tWr6mdHR3nrICIiMlYMnHrOydYJAHAz/6bMlRin+fOBvXvVrzt0kLcWIiIiY8XAqceu517HquOrAACvdXlN5mqMzxdfAHPmqF8vXAh06yZrOUREREaLgVOPfXPkG+Tfy0d39+543OtxucsxKt9+C0ydqn4dGQlMmyZvPURERMaMgVNP5RXl4evDXwMA3gl4BwpeabzO/PAD8MYb6tf/+c/9UU4iIiKSBgOnnvrf8f/hxt0baFa/GZ5r95zc5RiNrVvVdwsSAnjrLWDBAt41iIiISGoMnHrqSs4VAED+vXzcyLshczXGQQhg9mygpAQYM0Z9DCfDJhERkfQYOPXUu73fRTundki/k44RG0bgXsk9uUsyeAcOAH//DVhbA4sWAWbc+omIiHSCf3L1lL2VPTYO3wh7K3vsSdqD2Ttny12SwfvyS/XzqFGAk5O8tRAREZkSBk491tapLaKfiQYAfHrgU2w6s0nmigxXSgqwcaP69dtvy1sLERGRqWHg1HMv+ryI8F7hAICQX0OQnJUsc0WGp6hIfSZ6cTEQFAR07Ch3RURERKaFgdMALHhyAews7ZBTmIOE6wlyl2NQzpwB/P2B//1PPf3OO/LWQ0REZIoYOA3A0StHkVuUi3pW9dDXu6/c5RiEkhL1MZvdugHHjgENGgDr1gGDBsldGRERkemxkLsAqtraU2sBAM+2fRbWFtYyV6P/EhOB8eOBnTvV08HBwPffA+7u8tZFRERkqjjCaQD+vPAnAOAln5dkrkS/3b6t3mXetq06bNraAkuXAn/+ybBJREQkJ45wGoDSi8C3c24ncyX6qagIWL4cmDcPuPHvNfKffBL45hugdWt5ayMiIiIGTr2XV5SHvKI8AICzrbPM1egXIYDNm4F33wXOnVPPa9cOWLhQfawm7yJERESkHwxyl/r8+fMREBAAW1tb1K9fv8zy48eP4+WXX4anpydsbGzQrl07fFl61e9/JSUlQaFQlHls3bpVR5+ieq7nXgcAWJpZwkHpIHM1+uPvv4F+/YBnn1WHTWdnYNky4MQJ4KmnGDaJiIj0iUGOcBYWFuKll16Cv78/oqKiyiw/duwYnJ2d8eOPP8LT0xMHDhzA66+/DnNzc4SFhWm13bFjB9q3b6+ZbtiwoeT118T1PHXgdLZzhsLEU1RWFnDoELB6NfDDD+oRTqUSmDoVmDkTcGAeJyIi0ksGGTjnzZsHAFi5cmW5y1977TWt6ebNmyMuLg4bN24sEzgbNWoEV1dXSeqsC0XFRQCAG3k3sP3idvRv0V/minRDCODCBfX9z0sfp0+r55caORL46CPAy0u+OomIiKhqBhk4ayMrK6vc0cuhQ4ciPz8frVq1wtSpU/Hiiy9WuI6CggIUFBRopnNyciSp9UE9PXpiQIsBiLkYg8E/DcaPz/+IYe2HSf5zde3uXeDoUe2AmZlZtl3z5kDv3kBYGNCjh+7rJCIiopozicAZFxeHn3/+GX/88Ydmnr29PRYvXozevXvDzMwMmzdvxvDhw7Fq1Sq88sor5a5nwYIFmtFVXTFTmGHziM0Y8+sY/Hz6Z4xYPwI38m7gje5v6LSOupaWph0uVSr12eYPsrIC/PyAgAD1w98f0OPBaCIiIqqAQogHd1LKJyIiosowd+TIEfj5+WmmV65ciSlTpuD27dsVvuf06dMICgrC5MmTMWfOnErX/9ZbbyE2NhYnTpwod/nDI5xpaWnw8fFBSkoKPDw8Kl33oyouKcZbf76FZUeXAQA+CPoAs/vMNojjOu/dA44f1w6YyeXcEt7V9X64DAhQ3yVIqdR9vURERA9LTU2Fp6enTv7mGyO9GeEMCwvDiBEjKm3j7e1do3UmJCSgX79+GD9+fJVhEwB69eqFFStWVLhcqVRC+UACys7OrlE9j8LczBzfPPUNnG2dEbk3Eu/tfg838m7g84Gf66yGmrh4EYiOBv76Czh8GMjL015uZgZ06qQdML29eXY5ERGRMdKbwOnk5AQnJ6c6W9/p06fRr18/hISEYP78+dV6j0qlgpubW53VUNcUCgXmBc1DWk4aolRR+OLQF3ij+xto3Uh/rm5eUqK+4Pp//qM+LrNU/frqXeKlu8Z79ADq1ZOtTCIiItIhvQmcNZGcnIybN28iOTkZxcXFiI+PBwC0bNkS9vb2mt3oAwYMQHh4ODIyMgAA5ubmcHZWXzx91apVsLS0RNeuXWFmZobffvsNX331FT755BO5Pla1rD6xGquOrwIABLcIRsuGLWWu6L6kJOC114Ddu9XTffsCo0apQ2bbtupRTSIiIjI9Bhk433//faxatUoz3bVrVwDA7t270bdvX/zyyy+4fv06Vq9ejdWrV2vaeXl5ISkpSTP94Ycf4vLlyzA3N0fr1q3x/fffV3jCkD748uCXmLJtCgDg5Q4vY+WzK2GmkD/FCQFERamvh3nnjvoe5p99BkycyJBJREREenTSkCHS5QHEG89sxAs/vwAAeLvn21gcvFgvwiYALF4MTJumfv3YY+pjN1vqz8ArERHRI+NJQ4/GIEc4TdGf5/8EAIztOhafB3+uV2enl54Q5OMD7NkDmJvLWg4RERHpGf0YIqMqJWQmAACebP6kXoVNABg9Wn12eUICcPmy3NUQERGRvmHgNABCCCRcVwfO9s7tq2ite15ewJNPql9HR8tbCxEREekfBk4DkHEnA7fzb8NMYaZXl0B60Nix6ueVK4HiYllLISIiIj3DwGkAzmSeAQB41/eG0kI/b73z7LNAw4ZAairwwgvAwYNyV0RERET6goHTAHg4qM+GS7yViFPXTslcTfmUSuC999Sv/+//1Bd3790b2LSJI55ERESmjoHTALRu1Bov+rwIAYF5sZXfb15OU6YAJ08Cr74KWFmp75n+/PNAmzbquw/l5spdIREREcmBgdNARARGQAEF1iesx/GM43KXU6EOHYDvv1ffdWjWLKBBA/V91cPCgKZNgTlzgH9v/EREREQmgoHTQLRv3B4jOowAAETERshbTDW4uQHz5wMpKcDXXwPNmwM3b6rneXmpTzI6fVruKomIiEgXGDgNyOw+swEAv579FWczz8pcTfXY2QGTJgHnzgEbNqjvq15YqB4F7dAB+OMPuSskIiIiqTFwGgghBBbFLQIAWFtYQ2mun2erV8TcXD3K6ex8f56ZGWBpKV9NREREpBsMnAZi9q7ZiI6PhrnCHD+/+DOaNWgmd0nVdvIk8OKLQNeu6jPYzcyAV14BzpwBBgyQuzoiIiKSGu+lbgC+PPglFuxfAAD4bsh3GNJmiMwVVU9CAjBvHvDzz+pphQIYMQJ4/32gbVt5ayMiIiLdYeDUc2tPrcWUbVMAAB/1+wivdX1N3oKq4exZIDISWLsWEEI976WXgLlzgfb6d2dOIiIikhgDpx47c/0MxmwaAwCY3GMyZjw2Q+aKqrZvHxAUdP9i7889B0REAJ06yVoWERERyYjHcOqxm3dvoqikCA5KB3w+8HMoFAq5S6qSQqF+lMrL4wXfiYiITB0Dpx7r5tYNFmYWyC7IRkpWitzlVMtjj6l3qb/6qvrM9G3b1JdCCg5W33mIiIiITA8Dpx6zsbRBV9euAIADKYaT1lq0UF9n89w54LXX1MEzJkZ9b/VBg4CsLLkrJCIiIl1i4NRzjzV9DADw+/nfZa6k5po3B6KigPPngXHj1Lvat24FDh6UuzIiIiLSJQZOPTe8/XAAwKYzm5BTkCNzNbXTrBnw8cf3z1jv0kXWcoiIiEjHGDj1XI8mPdC6UWvcvXcXG85skLucWtu3T/3crh3g4iJvLURERKRbDJx6TqFQYEwn9aWR/nf8fzJXU3t79qif+/aVswoiIiKSAwOnARjdeTQAYHfSbly+fVnmamonNlb9zMBJRERkehg4DUBTx6bwdfMFABxOOyxzNbVz5Yr62cpK3jqIiIhI9xg4DURRSREAwNHaUeZKameM+qgAfPTR/ZOHiIiIyDQwcBqIzLxMAICTrZPMldTOO+8AtrbAkSPAli1yV0NERES6xMBpAIQQBh84GzcGJk1Sv46I4CgnERGRKWHgNAB3Cu+gsLgQANDIppHM1dTeO+8AdnbA0aPA74Z3HXsiIiKqJQZOA3Dp1iUAgL2VPWwtbWWupvacnYE331S//u9/5a2FiIiIdIeB0wDsSdoDQH2bS4VCIW8xj+iVV9TPO3YAd+/KWwsRERHpBgOnAdiVtAsAEOQdJHMlj65jR8DTUx02d+6UuxoiIiLSBYMMnPPnz0dAQABsbW1Rv379ctsoFIoyj+XLl2u1OXnyJAIDA2FjY4MmTZogMjISQs/OZikuKUZskvqq6cYQOBUKYMgQ9Wsex0lERGQaLOQuoDYKCwvx0ksvwd/fH1FRURW2i46OxsCBAzXTjo73r2GZnZ2N/v37IygoCEeOHMG5c+cQGhoKOzs7TJs2TdL6a0KVoUJWQRYclY7o6tZV7nIeWUkJ0KqV+vXvv6vPVjfwowSIiIioCgYZOOfNmwcAWLlyZaXt6tevD1dX13KXrV69Gvn5+Vi5ciWUSiU6dOiAc+fOYfHixQgPD9ebYyWTbicBAPKK8rA+YT1GdBghb0G1kJsLbN8O/PabOmReu6aef+UKkJ8P2NjIWx8RERFJyyB3qVdXWFgYnJyc0L17dyxfvhwlJSWaZXFxcQgMDIRSqdTMCw4OxpUrV5CUlFTu+goKCpCdna155OTkSP0R8EybZzCs/TAUlRTh5Q0v44uDX0j+M+tCWhrw7bfA4MFAo0bAc88B33+vDpsODsCwYcC2bQybREREpsAgRzir44MPPsATTzwBGxsb7Ny5E9OmTUNmZibmzJkDAMjIyIC3t7fWe1xcXDTLmjVrVmadCxYs0Iyu6oqluSXWvLAGLnYuWHJ4CaZum4r0nHR8/OTHejMKC6h3jcfHA5s3q0cyjx3TXu7tDQwdqj5+8/HHeU91IiIiU6I3gTMiIqLKMHfkyBH4+flVa32lwRIAunTpAgCIjIzUmv9wYCs9YaiiIDdz5kyEh4drptPS0uDj41Oteh6FmcIMXw78Em72bpi1axY+PfApMnIzsGLICliaW0r+8yuSnw/s3q0Omb//DqSm3l+mUAA9e94Pme3b81hNIiIiU6U3gTMsLAwjRlR+fOLDI5I10atXL2RnZ+Pq1atwcXGBq6srMjIytNpc+/fgwtKRzocplUqtXfDZ2dm1rqemFAoFZvaZCbd6bhi3eRz+d/x/uJ57Hb+P/B1mCt0eGXH5MjBtGrB1q/r4zFK2tsCAAeqAOXgwUEE3EhERkYnRm8Dp5OQEJyfp7hOuUqlgbW2tuYySv78/Zs2ahcLCQlj9u383JiYG7u7ujxRspfZyh5ex+uRq7Li0A39e+BOXbl1Cy4YtdVrD2rXAhg3q125u6lHMoUOBoCAek0lERERlGeRJQ8nJyYiPj0dycjKKi4sRHx+P+Ph43LlzBwDw22+/4b///S9OnTqFixcvYsWKFZg9ezZef/11zQjlyJEjoVQqERoailOnTmHTpk346KOP9OoM9Yddvn0ZfaL7YMelHQCAuYFzdR42AeDVVwEvL/XrVq2AL78EnnqKYZOIiIjKpzcjnDXx/vvvY9WqVZrprl3V16fcvXs3+vbtC0tLSyxduhTh4eEoKSlB8+bNERkZiUmTJmne4+joiO3bt2PSpEnw8/NDgwYNEB4ernWMpj758/yfGLVxFG7l30JDm4b48bkfMajVIFlqadwY+OMPICAA2LsXmDABiI7mMZpERERUPoXQt1vrGJDU1FR4enoiJSUFHh4ekv2cKzlX0PTzpigWxeju3h2/vPQLvOp7SfbzqmvbNvWxmsXFwDPPAP/9L+DsLHdVREREdU9Xf/ONlUHuUjc1hcWFKBbFMFeYY9+r+/QibAJAcDCwYoX6Ekf/939Ap07qE4mIiIiIHsTAaQBc7NSnexeLYty9d1fmarSFhgKHDwM+PkBGBjBoEPDWW8Bd/SqTiIiIZMTAaQBsLG3goHQAAGTcyaiite517gwcPQpMnqye/vprwM9PfSF4IiIiIgZOA+Fqr74n/NU7V2WupHw2Nuqz1bduBVxdgYQEoEcP4LPPgAfuKEpEREQmiIHTQJTuVr+aq5+Bs1RwMHDyJPDss0BREfDuu8DAgcBV/S6biIiIJMTAaSBsLNUXuSwsLpS5kqo5OQEbN6rPWre1BbZvV+9237FD7sqIiIhIDgycJAmFAhg3DjhyBOjQQT3COWAAMGcOcO+e3NURERGRLjFwkqR8fNRnsb/+OiAEMH8+0LcvkJIid2VERESkKwycJDkbG+Dbb9X3YK9XD/jrL/Uu9s2b5a6MiIiIdIGB0wAUFRchNTsVAKCA4d4/cvhwQKUCfH2BW7eA554DLlyQuyoiIiKSGgOnAZi5cyYSriegnlU9BHoHyl3OI2nRAjhwAGjfXn25pNOn5a6IiIiIpMbAqefWJ6zHorhFAICVz66Eh4Ph37/VygoovQ1tVpa8tRAREZH0GDj12NnMs3j1/14FALwT8A6eb/e8zBXVHQf1jZOQnS1vHURERCQ9Bk49dafwDp5f9zzuFN5BX++++OiJj+QuqU4xcBIREZkOBk49tThuMc5knoG1hTV+ev4nWJhZyF1SnXJ0VD+fOiVvHURERCQ9Bk491c2tGxRQIP9ePmbtmoXikmK5S6pTQ4aon9esAX76Sd5aiIiISFoMnHrq6dZP48fnf4S5whwr41di1MZRKCoukrusOtO3r/quQwAwfjzPViciIjJmDJx6bGTHkfjlpV9gaWaJdafX4bXNr8ldUp2KiACefBLIywOefx64c0fuioiIiEgKDJx67rl2zyGibwQA4FDqIXmLqWPm5urd6R4ewLlzwJQpcldEREREUmDgNACxl2MBACM6jJC5krrn7Az8+COgUABRUcCGDXJXRERERHWNgVPPJWclY/vF7QCA0C6h8hYjkcBAYMYM9evx44HUVHnrISIiorrFwKnnVsavhIBAkHcQmjdoLnc5kpk3D/DzU99jfcwYoNi4TsonIiIyaQycekwIgej4aADA2K5jZa5GWpaW6uM57eyA3buBZcvkroiIiIjqCgOnHku8nYik20lQmivxXLvn5C5Hcq1aAZMmqV8fPChvLURERFR3GDj12Olr6otTtnVqC1tLW5mr0Y3Ll9XP7dvLWwcRERHVHQZOPXbqmvq+jx0ad5C5Et35+2/1c7du8tZBREREdYeBU4+dvq4e4WzvbBrDfVlZwPnz6te+vvLWQkRERHWHgVOPlY5wtnFqI3MluqFSqZ+bNgWcnOSthYiIiOoOA6ceM1Oofz3v7X4PGXcyZK5GeseOqZ85uklERGRcGDj12NoX16JJvSZIuJ6AwJWBSMtOk7skSR09qn7285O3DiIiIqpbBhk458+fj4CAANja2qJ+/fpllq9cuRIKhaLcx7Vr1wAASUlJ5S7funWrjj9NxVo3ao3Y0Fg0dWyKczfOIXBlIJKzkuUuSzJHjqifu3eXtw4iIiKqWwYZOAsLC/HSSy/hjTfeKHf58OHDkZ6ervUIDg5GYGAgGjdurNV2x44dWu369euni49QbS0atkBsaCya1W+Gi7cuInBlIBJvJcpdVp27dQu4eFH9miOcRERExsVC7gJqY968eQDUI5nlsbGxgY2NjWb6+vXr2LVrF6Kiosq0bdSoEVxdXSWps6541/dGbGgs+v2vHy7cvIDAlYE4PvE4Gtg0kLu0OlO6O71FC6CB8XwsIiIigoGOcNbU//73P9ja2uLFF18ss2zo0KFo3LgxevfujfXr18tQXfV4Onriv0P+CwBIyU7BpVuXZK6obiX+O2jr4yNvHURERFT3DHKEs6a+//57jBw5UmvU097eHosXL0bv3r1hZmaGzZs3Y/jw4Vi1ahVeeeWVctdTUFCAgoICzXROTo7ktZcSQuDDvR8CAJ5q9RS6uRnXldHz89XPtqZxQyUiIiKTojcjnBERERWe6FP6OFq637UG4uLikJCQgLFjx2rNd3JywtSpU9GjRw/4+fkhMjISb775Jj799NMK17VgwQI4OjpqHj46HI5bd3oddibuhLWFNZYMWgKFQqGzn60LhYXqZ6VS3jqIiIio7unNCGdYWBhGjBhRaRtvb+8ar3fFihXo0qULfKtxccdevXphxYoVFS6fOXMmwsPDNdNpaWk6CZ1Z+VmYum0qAGDWY7PQvEFzyX+mrpUOHFtZyVsHERER1T29CZxOTk5wquPby9y5cwc///wzFixYUK32KpUKbm5uFS5XKpVQPjAEl52d/cg1VscHez9Axp0MtGrYCu/2flcnP1PXSgMnRziJiIiMj94EzppITk7GzZs3kZycjOLiYsTHxwMAWrZsCXt7e027devW4d69exg1alSZdaxatQqWlpbo2rUrzMzM8Ntvv+Grr77CJ598oquPUW07Lu0AAET0jYDSwjgTWWam+tnBQd46iIiIqO4ZZOB8//33sWrVKs10165dAQC7d+9G3759NfOjoqLw/PPPo0EF19n58MMPcfnyZZibm6N169b4/vvvKzxhSE71lPUAAFbmxru/+eRJ9TPPUiciIjI+Bhk4V65cWeE1OB904MCBCpeFhIQgJCSkDquSTn3r+gCA2/m3Za1DKkLcD5wdO8pbCxEREdU9vTlLnSpWOrJ5p/COzJVIIy0NyMoCzM2Btm3lroaIiIjqGgOnnhNC4GDqQQBAJ5dOMlcjjdLRzTZteNIQERGRMWLg1HPnbpzDlZwrsDK3gr+Hv9zlSGLtWvUz76FORERknBg49dzupN0AgADPANhY2lTR2vAkJQGrV6tfT5okaylEREQkEQZOPbcrcRcAIMg7SOZKpLFwIVBcDDzxBNCjh9zVEBERkRQYOPVYiSjBnqQ9AIB+zfrJW4wErl4FoqLUr2fOlLcWIiIikg4Dpx47fe00ruddh62lLXo0Mb7hvy+/BPLz1SOb/YwvTxMREdG/GDj1WOnxm481fcwoL/q+aZP6edo0QKGQtxYiIiKSDgOnHis9frOft/EN/+XmAv/8o34dGChvLURERCQtBk49VVxSjNjLsQCAoGbGd8LQqVPqOwy5ugIuLnJXQ0RERFJi4NRT8RnxuJ1/Gw5KB3Rz6yZ3OXVOpVI/d+kiaxlERESkAwyceqr0+M3HvR6HhZlB3vK+QvfuAdu3q18zcBIRERk/Bk49devuLQBATkEOhBAyV1N3YmOBbt2AjRvV00HGd7QAERERPYSBU0+N9x0PawtrxF6OxcYzG+Uu55GlpgIvvwz07au+d3rDhsB33wEDBshdGREREUmNgVNPedf3xjsB7wAApsVMw92iuzJXVDtFRcAnnwBt26rvmW5mBrz5JnD+PDB+vNzVERERkS4wcOqx//T+DzwcPHA56zI2nNkgdzk1lpEBPPkkMGOG+jJIvXsDx44B33yjHuEkIiIi08DAqcfsrOzQ17svACDjToa8xdTQX3+pj9XcuxeoVw9YtQrYt48nCREREZkiBk49V8+qHgDgTuEdmSupHiGAJUvUx2qmpwM+PsCRI8CYMbybEBERkali4NRz9lb2AAwjcObmAq+8AkyerL700fDhwKFDQJs2cldGREREcjKuCzwaodLAmVOQI3Mllbt0CXj2WfUZ6ObmwMKFwNtvc1STiIiIGDj1nmaEs0i/RzgnTlSHTRcX4Oefgccfl7siIiIi0hcMnHrO0swSgPre6vrs77/Vz//3f0DPnvLWQkRERPqFx3DqOTOF+ldUIkpkrqRi2dnAjRvq1+3ayVsLERER6R8GTj2n+PcgSH0OnImJ6mcnJ8DBQd5aiIiISP8wcOq5vZf3AoBeX/j90iX1c2amvHUQERGRfmLg1HPrTq/TvF57aq2MlVTs6lW5KyAiIiJ9xsCp517p9Irm9QvtXpCxkoo9/TQwYoT6GpxERERED1MIIYTcRRiq1NRUeHp6IiUlBR4eHnKXQ0RERBLh3/xHwxFOIiIiIpIUAycRERERSYqBk4iIiIgkZXCBMykpCWPHjkWzZs1gY2ODFi1aYO7cuSgsLNRql5ycjCFDhsDOzg5OTk6YPHlymTYnT55EYGAgbGxs0KRJE0RGRoKHtBIRERHVLYO7teXZs2dRUlKCb7/9Fi1btsSpU6cwfvx45ObmYuHChQCA4uJiDB48GM7Ozti/fz9u3LiBkJAQCCGwZMkSAEB2djb69++PoKAgHDlyBOfOnUNoaCjs7Owwbdo0OT8iERERkVExirPUP/vsMyxbtgyX/r0C+Z9//omnn34aKSkpcHd3BwCsXbsWoaGhuHbtGhwcHLBs2TLMnDkTV69ehVKpBAB8/PHHWLJkCVJTUzV3+KkMz1gjIiIyDfyb/2gMbpd6ebKystCwYUPNdFxcHDp06KAJmwAQHByMgoICHDt2TNMmMDBQEzZL21y5cgVJSUk6q52IiIjI2BncLvWHXbx4EUuWLMGiRYs08zIyMuDi4qLVrkGDBrCyskJGRoamjbe3t1ab0vdkZGSgWbNmZX5WQUEBCgoKNNNZWVkAgPT09Dr5LERERKSfSv/Wl5SUyFyJYdKbwBkREYF58+ZV2ubIkSPw8/PTTF+5cgUDBw7ESy+9hHHjxmm1LW+XuBBCa/7DbUqPLqhod/qCBQvKrbFHjx6V1k1ERETGISUlBU2bNpW7DIOjN4EzLCwMI0aMqLTNgyOSV65cQVBQEPz9/fHdd99ptXN1dcWhQ4e05t26dQtFRUWaUUxXV1fNaGepa9euAUCZ0dFSM2fORHh4uGb65s2baNasGU6dOgVHR8fKP6CJysnJgY+PDxISElCvXj25y9E77J+qsY+qxj6qHPunauyjqmVlZaFDhw5o166d3KUYJL0JnE5OTnBycqpW27S0NAQFBcHX1xfR0dEwM9M+FNXf3x/z589Heno63NzcAAAxMTFQKpXw9fXVtJk1axYKCwthZWWlaePu7l5mV3sppVKpdcxnKU9PTzg4OFT3o5qU7OxsAECTJk3YR+Vg/1SNfVQ19lHl2D9VYx9VrbRfLCz0JjoZFIM7aejKlSvo27cvPD09sXDhQly/fh0ZGRlao5UDBgyAj48PRo8eDZVKhZ07d2L69OkYP368ZoMZOXIklEolQkNDcerUKWzatAkfffQRwsPDq3WGOhERERFVj8HF9JiYGFy4cAEXLlwoc1mC0mMwzc3N8ccff+DNN99E7969YWNjg5EjR2qu0wkAjo6O2L59OyZNmgQ/Pz80aNAA4eHhWrvMiYiIiOjRGVzgDA0NRWhoaJXtmjZtit9//73SNh07dsTevXtrXYtSqcTcuXPL3c1OauyjyrF/qsY+qhr7qHLsn6qxj6rGPno0RnHhdyIiIiLSXwZ3DCcRERERGRYGTiIiIiKSFAMnEREREUmKgbMKERERUCgUWg9XV1fNciEEIiIi4O7uDhsbG/Tt2xenT5+WsWLp7d27F0OGDIG7uzsUCgV+/fVXreXV6ZOCggK89dZbcHJygp2dHYYOHYrU1FQdfgppVdVHoaGhZbarXr16abUx5j5asGABunfvjnr16qFx48Z49tln8c8//2i1MeXtqDr9Y+rb0LJly9CpUyc4ODjAwcEB/v7++PPPPzXLTXn7KVVVH5n6NvSwBQsWQKFQYMqUKZp53I7qDgNnNbRv3x7p6emax8mTJzXLPv30UyxevBhff/01jhw5AldXV/Tv3x85OTkyViyt3NxcdO7cGV9//XW5y6vTJ1OmTMGmTZuwdu1a7N+/H3fu3MHTTz+N4uJiXX0MSVXVRwAwcOBAre1qy5YtWsuNuY9iY2MxadIkHDx4ENu3b8e9e/cwYMAA5ObmatqY8nZUnf4BTHsb8vDwwMcff4yjR4/i6NGj6NevH5555hlNGDDl7adUVX0EmPY29KAjR47gu+++Q6dOnbTmczuqQ4IqNXfuXNG5c+dyl5WUlAhXV1fx8ccfa+bl5+cLR0dHsXz5ch1VKC8AYtOmTZrp6vTJ7du3haWlpVi7dq2mTVpamjAzMxNbt27VWe268nAfCSFESEiIeOaZZyp8j6n10bVr1wQAERsbK4TgdvSwh/tHCG5D5WnQoIFYsWIFt59KlPaRENyGSuXk5IhWrVqJ7du3i8DAQPH2228LIfg9VNc4wlkN58+fh7u7O5o1a4YRI0bg0qVLAIDExERkZGRgwIABmrZKpRKBgYE4cOCAXOXKqjp9cuzYMRQVFWm1cXd3R4cOHUyq3/bs2YPGjRujdevWGD9+PK5du6ZZZmp9lJWVBQBo2LAhAG5HD3u4f0pxG1IrLi7G2rVrkZubC39/f24/5Xi4j0pxGwImTZqEwYMH48knn9Saz+2obhnchd91rWfPnvjf//6H1q1b4+rVq/jwww8REBCA06dPa26n6eLiovUeFxcXXL58WY5yZVedPsnIyICVlRUaNGhQps2Dtyg1ZoMGDcJLL70ELy8vJCYm4r333kO/fv1w7NgxKJVKk+ojIQTCw8Px2GOPoUOHDgC4HT2ovP4BuA0BwMmTJ+Hv74/8/HzY29tj06ZN8PHx0fyh5/ZTcR8B3IYAYO3atfj7779x5MiRMsv4PVS3GDirMGjQIM3rjh07wt/fHy1atMCqVas0B1c/fO91IYTJ34+9Nn1iSv02fPhwzesOHTrAz88PXl5e+OOPP/D8889X+D5j7KOwsDCcOHEC+/fvL7OM21HF/cNtCGjTpg3i4+Nx+/ZtbNiwASEhIYiNjdUs5/ZTcR/5+PiY/DaUkpKCt99+GzExMbC2tq6wHbejusFd6jVkZ2eHjh074vz585qz1R/+X8y1a9fK/I/IVFSnT1xdXVFYWIhbt25V2MbUuLm5wcvLC+fPnwdgOn301ltvYfPmzdi9ezc8PDw087kdqVXUP+UxxW3IysoKLVu2hJ+fHxYsWIDOnTvjyy+/5PbzgIr6qDymtg0dO3YM165dg6+vLywsLGBhYYHY2Fh89dVXsLCw0HxGbkd1g4GzhgoKCnDmzBm4ubmhWbNmcHV1xfbt2zXLCwsLERsbi4CAABmrlE91+sTX1xeWlpZabdLT03Hq1CmT7bcbN24gJSUFbm5uAIy/j4QQCAsLw8aNG7Fr1y40a9ZMa7mpb0dV9U95TG0bKo8QAgUFBSa//VSmtI/KY2rb0BNPPIGTJ08iPj5e8/Dz88OoUaMQHx+P5s2bczuqS7o+S8nQTJs2TezZs0dcunRJHDx4UDz99NOiXr16IikpSQghxMcffywcHR3Fxo0bxcmTJ8XLL78s3NzcRHZ2tsyVSycnJ0eoVCqhUqkEALF48WKhUqnE5cuXhRDV65OJEycKDw8PsWPHDvH333+Lfv36ic6dO4t79+7J9bHqVGV9lJOTI6ZNmyYOHDggEhMTxe7du4W/v79o0qSJyfTRG2+8IRwdHcWePXtEenq65pGXl6dpY8rbUVX9w21IiJkzZ4q9e/eKxMREceLECTFr1ixhZmYmYmJihBCmvf2UqqyPuA2V78Gz1IXgdlSXGDirMHz4cOHm5iYsLS2Fu7u7eP7558Xp06c1y0tKSsTcuXOFq6urUCqV4vHHHxcnT56UsWLp7d69WwAo8wgJCRFCVK9P7t69K8LCwkTDhg2FjY2NePrpp0VycrIMn0YalfVRXl6eGDBggHB2dhaWlpaiadOmIiQkpMznN+Y+Kq9vAIjo6GhNG1PejqrqH25DQrz22mvCy8tLWFlZCWdnZ/HEE09owqYQpr39lKqsj7gNle/hwMntqO4ohBBCd+OpRERERGRqeAwnEREREUmKgZOIiIiIJMXASURERESSYuAkIiIiIkkxcBIRERGRpBg4iYiIiEhSDJxEREREJCkGTiIiIiKSFAMnEREREUmKgZOIiIiIJMXASURERESSYuAkIiIiIkkxcBIRERGRpBg4iYiIiEhSDJxEREREJCkGTiIiIiKSFAMnEREREUmKgZOIiIiIJMXAWYWlS5eiWbNmsLa2hq+vL/bt21dp+9jYWPj6+sLa2hrNmzfH8uXLdVSpbtSkPzZu3Ij+/fvD2dkZDg4O8Pf3x7Zt23RYrbRqum2U+uuvv2BhYYEuXbpIW6CO1bQ/CgoKMHv2bHh5eUGpVKJFixb4/vvvdVSt9GraH6tXr0bnzp1ha2sLNzc3vPrqq7hx44aOqpXW3r17MWTIELi7u0OhUODXX3+t8j3G+l1a074w9u/R2mwbpYz1u9RYMXBWYt26dZgyZQpmz54NlUqFPn36YNCgQUhOTi63fWJiIp566in06dMHKpUKs2bNwuTJk7FhwwYdVy6NmvbH3r170b9/f2zZsgXHjh1DUFAQhgwZApVKpePK615N+6JUVlYWxowZgyeeeEJHlepGbfpj2LBh2LlzJ6KiovDPP/9gzZo1aNu2rQ6rlk5N+2P//v0YM2YMxo4di9OnT+OXX37BkSNHMG7cOB1XLo3c3Fx07twZX3/9dbXaG/N3aU37wpi/R4Ga90cpY/0uNWqCKtSjRw8xceJErXlt27YVM2bMKLf9u+++K9q2bas1b8KECaJXr16S1ahLNe2P8vj4+Ih58+bVdWk6V9u+GD58uJgzZ46YO3eu6Ny5s4QV6lZN++PPP/8Ujo6O4saNG7ooT+dq2h+fffaZaN68uda8r776Snh4eEhWo1wAiE2bNlXaxti/S0tVpy/KYyzfow+rSX8Y63epMeMIZwUKCwtx7NgxDBgwQGv+gAEDcODAgXLfExcXV6Z9cHAwjh49iqKiIslq1YXa9MfDSkpKkJOTg4YNG0pRos7Uti+io6Nx8eJFzJ07V+oSdao2/bF582b4+fnh008/RZMmTdC6dWtMnz4dd+/e1UXJkqpNfwQEBCA1NRVbtmyBEAJXr17F+vXrMXjwYF2UrHeM+bv0URnL9+ijMNbvUmNnIXcB+iozMxPFxcVwcXHRmu/i4oKMjIxy35ORkVFu+3v37iEzMxNubm6S1Su12vTHwxYtWoTc3FwMGzZMihJ1pjZ9cf78ecyYMQP79u2DhYVx/bOrTX9cunQJ+/fvh7W1NTZt2oTMzEy8+eabuHnzpsEfx1mb/ggICMDq1asxfPhw5Ofn4969exg6dCiWLFmii5L1jjF/lz4qY/kerS1j/i41dhzhrIJCodCaFkKUmVdV+/LmG6qa9kepNWvWICIiAuvWrUPjxo2lKk+nqtsXxcXFGDlyJObNm4fWrVvrqjydq8m2UVJSAoVCgdWrV6NHjx546qmnsHjxYqxcudIoRjmBmvVHQkICJk+ejPfffx/Hjh3D1q1bkZiYiIkTJ+qiVL1k7N+ltWGM36M1YSrfpcaK/z2ogJOTE8zNzcuMSFy7dq3M/7xLubq6ltvewsICjRo1kqxWXahNf5Rat24dxo4di19++QVPPvmklGXqRE37IicnB0ePHoVKpUJYWBgAdeASQsDCwgIxMTHo16+fTmqXQm22DTc3NzRp0gSOjo6aee3atYMQAqmpqWjVqpWkNUupNv2xYMEC9O7dG++88w4AoFOnTrCzs0OfPn3w4YcfmtyInjF/l9aWsX2P1oaxf5caO45wVsDKygq+vr7Yvn271vzt27cjICCg3Pf4+/uXaR8TEwM/Pz9YWlpKVqsu1KY/APX/yENDQ/HTTz8ZzfFoNe0LBwcHnDx5EvHx8ZrHxIkT0aZNG8THx6Nnz566Kl0Stdk2evfujStXruDOnTuaeefOnYOZmRk8PDwkrVdqtemPvLw8mJlpfx2bm5sDuD+yZ0qM+bu0Nozxe7Q2jP271OjJc66SYVi7dq2wtLQUUVFRIiEhQUyZMkXY2dmJpKQkIYQQM2bMEKNHj9a0v3TpkrC1tRVTp04VCQkJIioqSlhaWor169fL9RHqVE3746effhIWFhbim2++Eenp6ZrH7du35foIdaamffEwYzuzsqb9kZOTIzw8PMSLL74oTp8+LWJjY0WrVq3EuHHj5PoIdaqm/REdHS0sLCzE0qVLxcWLF8X+/fuFn5+f6NGjh1wfoU7l5OQIlUolVCqVACAWL14sVCqVuHz5shDCtL5La9oXxvw9KkTN++NhxvZdaswYOKvwzTffCC8vL2FlZSW6desmYmNjNctCQkJEYGCgVvs9e/aIrl27CisrK+Ht7S2WLVum44qlVZP+CAwMFADKPEJCQnRfuARqum08yBi/JGvaH2fOnBFPPvmksLGxER4eHiI8PFzk5eXpuGrp1LQ/vvrqK+Hj4yNsbGyEm5ubGDVqlEhNTdVx1dLYvXt3pd8FpvRdWtO+MPbv0dpsGw8yxu9SY6UQwgT31xARERGRzvAYTiIiIiKSFAMnEREREUmKgZOIiIiIJMXASURERESSYuAkIiIiIkkxcBIRERGRpBg4iYiIiEhSDJyPoKCgABERESgoKJC7FL3A/tDG/tDG/riPfaGN/aGN/aGN/WEcTP7C70uXLsVnn32G9PR0tG/fHl988QX69OlTrfdmZ2fD0dERWVlZcHBwkLhS/cf+0Mb+0Mb+uI99oY39oY39oY39YRxMeoRz3bp1mDJlCmbPng2VSoU+ffpg0KBBSE5Olrs0IiIiIqNh0oFz8eLFGDt2LMaNG4d27drhiy++gKenJ5YtWyZ3aURERERGw0LuAuRSWFiIY8eOYcaMGVrzBwwYgAMHDpT7noKCAq1jSG7evAkASElJgaOjo3TFGoicnBwAQFpaGrKzs2WuRn7sD23sj/vYF9rYH9rYH9r0pT9KSkpw9epVdO3aFRYWJhufas1keywzMxPFxcVwcXHRmu/i4oKMjIxy37NgwQLMmzevzPwOHTpIUqOh8vHxkbsEvcL+0Mb+uI99oY39oY39oU1f+uPw4cPo3r273GUYHJMNnKUUCoXWtBCizLxSM2fORHh4uGY6JSUFHTp0wOHDh+Hm5iZpnURERCSf9PR09OjRo8xAFVWPyQZOJycnmJublxnNvHbtWoUbk1KphFKp1EyX7kZ3c3ODh4eHdMUSERGRXjAzM+nTX2rNZHvNysoKvr6+2L59u9b87du3IyAgQKaqiIiIiIyPyY5wAkB4eDhGjx4NPz8/+Pv747vvvkNycjImTpwod2lERERERsOkA+fw4cNx48YNREZGIj09HR06dMCWLVvg5eUld2lERERERsOkAycAvPnmm3jzzTflLoOIiIjIaJnsMZxk/K5du4YJEyagadOmUCqVcHV1RXBwMOLi4jRtFAoFfv311zr5eUlJSVAoFIiPj6+03Z49e6BQKHD79u0yy7p06YKIiAhNm8oeK1euBABs2LABffv2haOjI+zt7dGpUydERkZqrhNbHRs3bkT//v3h7OwMBwcH+Pv7Y9u2bWXabdiwAT4+PlAqlfDx8cGmTZu0li9YsADdu3dHvXr10LhxYzz77LP4559/NMuLiorwn//8Bx07doSdnR3c3d0xZswYXLlypcoab926hdGjR8PR0RGOjo4YPXp0mT58++234evrC6VSiS5dulT788fGxsLX1xfW1tZo3rw5li9frrX89OnTeOGFF+Dt7Q2FQoEvvviiWus9efIkAgMDYWNjgyZNmiAyMhIV3U34r7/+goWFRY3qFkJg0KBBZbbjyrafI0eOVLrOqn7HgPqWwM2aNYO1tTV8fX2xb9++atdMRKaJgZOM1gsvvIDjx49j1apVOHfuHDZv3oy+ffvWKIhVV2FhYZ2uLyAgAOnp6ZrHsGHDMHDgQK15w4cPx+zZszF8+HB0794df/75J06dOoVFixbh+PHj+OGHH6r98/bu3Yv+/ftjy5YtOHbsGIKCgjBkyBCoVCpNm7i4OAwfPhyjR4/G8ePHMXr0aAwbNgyHDh3StImNjcWkSZNw8OBBbN++Hffu3cOAAQOQm5sLAMjLy8Pff/+N9957D3///Tc2btyIc+fOYejQoVXWOHLkSMTHx2Pr1q3YunUr4uPjMXr0aK02Qgi89tprGD58eLU/e2JiIp566in06dMHKpUKs2bNwuTJk7FhwwZNm7y8PDRv3hwff/wxXF1dq7Xe7Oxs9O/fH+7u7jhy5AiWLFmChQsXYvHixWXaZmVlYcyYMXjiiSeqXTcAfPHFF+Vexu3h7Sc9PR3jxo2Dt7c3/Pz8KlxfdX7HvCUwEdWKoFpLSUkRAERKSorcpdBDbt26JQCIPXv2VNjGy8tLANA8vLy8hBBCXLhwQQwdOlQ0btxY2NnZCT8/P7F9+/Yy7/3ggw9ESEiIcHBwEGPGjNFaFwARGBhY7s/dvXu3ACBu3bpVZlnnzp3F3Llzy8wPCQkRzzzzjNa8Q4cOCQDiiy++qLAPHoWPj4+YN2+eZnrYsGFi4MCBWm2Cg4PFiBEjKlzHtWvXBAARGxtbYZvDhw8LAOLy5csVtklISBAAxMGDBzXz4uLiBABx9uzZMu3nzp0rOnfuXOH6HvTuu++Ktm3bas2bMGGC6NWrV7ntvby8xOeff17lepcuXSocHR1Ffn6+Zt6CBQuEu7u7KCkp0Wo7fPhwMWfOnBrVHR8fLzw8PER6eroAIDZt2lRh28LCQtG4cWMRGRlZ6Tqr8zvu0aOHmDhxolabtm3bihkzZlSrbiJDxb/5j4YjnGSU7O3tYW9vj19//VXrdqQPKt21GB0djfT0dM30nTt38NRTT2HHjh1QqVQIDg7GkCFDyozgfPbZZ+jQoQOOHTuG9957D4cPHwYA7NixA+np6di4caOEnxBYvXo17O3tKzwGuX79+gDu7+rfs2dPtdddUlKCnJwcNGzYUDMvLi4OAwYM0GoXHBxc4a1gAfXIHQCt9ZTXRqFQaOotT1xcHBwdHdGzZ0/NvF69esHR0bHSn18dFX2uo0ePoqio6JHWGxgYqHXt3uDgYFy5cgVJSUmaedHR0bh48SLmzp1b7npKd48/+J68vDy8/PLL+Prrr6s14rp582ZkZmYiNDRUa763tzciIiK0aq7sd1x6S+CH21R2S2AiIoC71MlIWVhYYOXKlVi1ahXq16+P3r17Y9asWThx4oSmjbOzMwB1MHN1ddVMd+7cGRMmTEDHjh3RqlUrfPjhh2jevDk2b96s9TP69euH6dOno2XLlmjZsqXm/Y0aNYKrq2ulIasunD9/Hs2bN4elpWWl7SwtLdGmTRvY2tpWe92LFi1Cbm4uhg0bppmXkZFRo1vBCiEQHh6Oxx57rMLbv+bn52PGjBkYOXIkHBwcKqwnIyMDjRs3LjO/cePGFf786qroc927dw+ZmZl1vt7SZYD6dzhjxgysXr26wnsz29raok2bNlq/56lTpyIgIADPPPNMtWqJiopCcHAwPD09tea3aNECTk5OVdZcWm9tbglMRAQwcJIRe+GFF3DlyhVs3rwZwcHB2LNnD7p166Y52aYiubm5ePfdd+Hj44P69evD3t4eZ8+eLTPCWdmxcLogKrkN64OaNGmCs2fPokePHtVa75o1axAREYF169aVCXk1uRVsWFgYTpw4gTVr1pS7vKioCCNGjEBJSQmWLl2qmT9x4kTNCLW9vX2FP7uqn1+eB9f74PV2y/tcFf3MmqhsvcXFxRg5ciTmzZuH1q1bV7iOHj164OzZs2jSpAkA9Wjlrl27qn3iUmpqKrZt24axY8eWWbZz506EhYVVWfPD82qyHRARAbwsEhk5a2tr9O/fH/3798f777+PcePGYe7cuWV2LT7onXfewbZt27Bw4UK0bNkSNjY2ePHFF8ucGGRnZ1ermkpH8rKyssrsRr59+7bmlqlVad26Nfbv34+ioqIqRzmra926dRg7dix++eUXPPnkk1rLXF1dq30r2LfeegubN2/G3r17y73ta1FREYYNG4bExETs2rVLa3QzMjIS06dPL/Ozr169WmY9169fr9F9jR+8gkDpz6zoc1lYWKBRo0bVXvfDKlovoB4RzMnJwdGjR6FSqTShr6SkBEIIWFhYICYmBv369Suz3l27duHixYtltp0XXngBffr0KXPoRHR0NBo1alStE7Oq+h3X5pbAREQARzjJxPj4+GjOmAbUu5uLi4u12uzbtw+hoaF47rnn0LFjR7i6umodP1cRKysrACizvoe1atUKZmZmZS5Pk56ejrS0NLRp06Zan2XkyJG4c+eO1ujgg8q77FJl1qxZg9DQUPz0008YPHhwmeX+/v5lbgUbExOjdStYIQTCwsKwceNG7Nq1C82aNSuzntKwef78eezYsaNMqGvcuLHmMIWWLVtqfnZWVpbmOFkAOHToELKysmp0K9oH11s6elvR5/Lz83ukIO/v74+9e/dq/UclJiYG7u7u8Pb2hoODA06ePIn4+HjNY+LEiWjTpg3i4+O1jld90IwZM3DixAmt9wHA559/jujoaK22QghER0djzJgx1fosVf2OeUtgIqo1mU5WMgo8Y01/ZWZmiqCgIPHDDz+I48ePi0uXLomff/5ZuLi4iNdee03TrlWrVuKNN94Q6enp4ubNm0IIIZ599lnRpUsXoVKpRHx8vBgyZIioV6+eePvttzXvK+9M5aKiImFjYyM+/PBDkZGRIW7fvl1hfW+88YZo2rSp2LRpk7h06ZLYv3+/CAwMFB07dhRFRUVl2pd3lroQ6jOszc3NxTvvvCMOHDggkpKSxI4dO8SLL76oOXs9NTVVtGnTRhw6dKjCen766SdhYWEhvvnmG5Genq55PPgZ/vrrL2Fubi4+/vhjcebMGfHxxx8LCwsLrTPH33jjDeHo6Cj27NmjtZ68vDxNHw0dOlR4eHiI+Ph4rTYFBQUV1ieEEAMHDhSdOnUScXFxIi4uTnTs2FE8/fTTWm3Onz8vVCqVmDBhgmjdurVQqVRCpVJVuu5Lly4JW1tbMXXqVJGQkCCioqKEpaWlWL9+vaZNQUGBZl1ubm5i+vTpQqVSifPnz1e43tu3bwsXFxfx8ssvi5MnT4qNGzcKBwcHsXDhwgrfU95Z6ocOHRJt2rQRqampFb4PFZylvmPHDgFAJCQklPu+fv36iSVLlmimq/M7Xrt2rbC0tBRRUVEiISFBTJkyRdjZ2YmkpKQK6yMyBvyb/2gYOB8BNz79lZ+fL2bMmCG6desmHB0dha2trWjTpo2YM2eOJvwIIcTmzZtFy5YthYWFheaySImJiSIoKEjY2NgIT09P8fXXX4vAwMAqA6cQQvz3v/8Vnp6ewszMrMLLIpXWFxkZKdq1aydsbGyEl5eXCA0NFenp6eW2ryhwCiHEunXrxOOPPy7q1asn7OzsRKdOnURkZKTmskiJiYkCgNi9e3eF9QQGBpa5rBMAERISotXul19+EW3atBGWlpaibdu2YsOGDVrLy1sHABEdHa1VS3mPyuoTQogbN26IUaNGiXr16ol69eqJUaNGlbn0U0WfIzExsdJ179mzR3Tt2lVYWVkJb29vsWzZMq3lFdVd2e9YCCFOnDgh+vTpI5RKpXB1dRURERFlLon0oPICZ+lltCr7DBUFzpdfflkEBARU+D4vL68yl+Gq6ncshBDffPON8PLyElZWVqJbt26VXvaKyFjwb/6jUQhRwW0vqEqpqanw9PRESkpKucepERERkXHg3/xHw2M4iYiIiEhSDJxEREREJCkGTiIiIiKSFAMnEREREUmKgZOIiIiIJMXASURERESSYuAkIiIiIkkxcBIRERGRpBg4iYiIiEhSDJxEREREJCkGTiIiIiKSFAMnEREREUmKgZOIiIiIJMXASURERESSYuAkIiIiIkkxcBIRERGRpBg4iYiIiEhSDJxEREREJCkGTiIiIiKSlNEFzqSkJIwdOxbNmjWDjY0NWrRogblz56KwsFCrnUKhKPNYvny5TFUTERERGS8LuQuoa2fPnkVJSQm+/fZbtGzZEqdOncL48eORm5uLhQsXarWNjo7GwIEDNdOOjo66LpeIiIjI6Bld4Bw4cKBWiGzevDn++ecfLFu2rEzgrF+/PlxdXXVdIhHpqdikWHx24DO0d26PT/p/Inc5euHyZeD11wFHR+Dnn+WuhogMldHtUi9PVlYWGjZsWGZ+WFgYnJyc0L17dyxfvhwlJSUyVEdE+uJW/i38cf4PrD+zHkIIucvRC7m5QEwMsHu33JUQkSEzuhHOh128eBFLlizBokWLtOZ/8MEHeOKJJ2BjY4OdO3di2rRpyMzMxJw5cypcV0FBAQoKCjTTOTk5ktVNRLr3ZPMnYWVuhUu3LuGfG/+grVNbuUsiIjIKBjPCGRERUe6JPg8+jh49qvWeK1euYODAgXjppZcwbtw4rWVz5syBv78/unTpgmnTpiEyMhKfffZZpTUsWLAAjo6OmoePj0+df04iko+9lT0CvQIBAFvOb5G5GiIi42EwI5xhYWEYMWJEpW28vb01r69cuYKgoCD4+/vju+++q3L9vXr1QnZ2Nq5evQoXF5dy28ycORPh4eGa6bS0NIZOIiMihIC9lT0AYF/yPoT7h1fxDiIiqg6DCZxOTk5wcnKqVtu0tDQEBQXB19cX0dHRMDOreiBXpVLB2toa9evXr7CNUqmEUqnUTGdnZ1erHiLSf0IITN02FZvOboICCrzS8RW5S9ILCoX6mYe0EtGjMJjAWV1XrlxB37590bRpUyxcuBDXr1/XLCs9I/23335DRkYG/P39YWNjg927d2P27Nl4/fXXtQIlEZkGIQRm7JiBLw99CQCIGhqFF3xekLkq/VAaOHlOJRE9CqMLnDExMbhw4QIuXLgADw8PrWWlZ51aWlpi6dKlCA8PR0lJCZo3b47IyEhMmjRJjpKJSGZz98zFpwc+BQAsH7wcr3Z9VeaK9EfpDiKOcBLRo1AIXvuj1lJTU+Hp6YmUlJQy4ZaIDMNH+z7C7F2zAQBfDvwSk3tOlrki/XL+PNC6NeDgAGRlyV0NkXz4N//RGMxZ6kREdS0tO00TNid1n8SwWQ4ew0lEdYGBk4hMlqu9Kx5r+hgAYNXxVdh7ea/MFemfvDz1s52dvHUQkWFj4CQik2VuZo4/R/2Jfs364U7hHQz8cSC2Xdgmd1l6pfRiHA4O8tZBRIaNgZOITJq9lT3+GPkHBrYciLv37mLImiG4cPOC3GXpDQZOIqoLDJxEZPK2XdiGv9P/BgAICBQWF8pckf7Iz1c/84pxRPQoGDiJyGTdzr+NkF9D8Oy6Z3Et9xraO7fHwbEH4ePMO4iVKj1ZqPTkISKi2jC663ASEVXH1gtbMW7zOKTlpMFMYYZ3At7BvL7zoLTgUN6DGDiJqC4wcBKRSckpyMG0mGn479//BQC0atgKq55dBX9Pf5kr008MnERUFxg4ichkFBYXwj/KH6evnwYAhHYJxTdPfQNbS1uZK9NfDJxEVBcYOInIZCigQE5hjmZ63al1UECBiX4T0d29OxRMVUREkuBJQ0RkMizNLXHyjZNY+tRSdGzcEXfv3UV0fDR6rugJv//6YcXfK5BbmCt3mXrF3Fz9XFwsbx1EZNgYOInIpDgoHfBG9zdwfOJx7H91P17p9AqszK3wd/rfGP/beLgvdsf7u9+H4L0cAdwPnCUl8tZBRIaNgZOITJJCoUDvpr3xw3M/QDVBhaaOTQEA2QXZ+HDvh7iVf0vmCvUL8zcRPQoGTiIyWYm3EjHpj0nw/c4XyVnJAAAfZx+sH7YeDW0aylydfsj99wgD3kudiB4FTxoiIpNzNvMsPtz7IdaeWotioT44sWeTnpj52EwMaTMEZgr+X7xUzr/nWNnby1sHERk2Bk4iMin3Su4hICpAs8t8QIsBmPnYTAR6BfIs9XLcuaN+5ggnET0KBk4iMinZBdmasHlk/BH4ufvJXJF+u3dP/WxpKW8dRGTYuN+IiExK6WWPLM0sGTZrgIO/RPQoGDiJyKTkFqkDp50V9xFXB+80RER1gYGTiExK6QinnSUDZ3UwcBJRXWDgJCKTkn8vHwBwK/8W9l7eK3M1+o+Bk4jqAgMnEZmUTi6d0MmlE/KK8tBvVT98cfAL3lWoEgUF6melUt46iMiwMXASkUmpp6yHA68dwMiOI1EsijF121SM3DiS91CvQF6e+tnWVt46iMiwMXASkcmxs7LDj8/9iK8GfgULMwusPbUWPkt9MGXrFGy7sE2z250YOImobjBwEpFJUigUeKvnW9gdshtu9m5IzkrGl4e+xMDVA9Hwk4YY/NNgfH34a1y8eVHuUmWVna1+5p2GiOhR8MLvRGTSHmv6GM69dQ7bL27Hnxf+xJbzW5CWk4Yt57dgy/ktAIDWjVpjUMtBGNRyEAK9A2FtYS1z1bpzS32NfDRoIG8dRGTYGDiJyOTZW9njuXbP4bl2z0EIgVPXTmnC518pf+HcjXM4d+Mcvjz0JWwsbBDULAiz+8xGgGeA3KVLjoGTiOoCAycR0QMUCgU6unRER5eOeLf3u8guyMaOSzvw5/k/8eeFPzWjn0IIbBm1Re5yJcfASUR1gcdwEhFVwkHpgOfbPY9vBn+DLq5dAAC2lraY3We2vIXpCAMnEdUFBk4ioioUFRdh+Prh+OP8H7C2sMbvL/+O3k17y12W5IQAbt5Uv27YUN5aiMiwMXASEVXiXsk9jNo4Cr+e/RVKcyX+b8T/IahZkNxl6cStW0BRkfp148by1kJEhs0oA6e3tzcUCoXWY8aMGVptkpOTMWTIENjZ2cHJyQmTJ09GYWGhTBUTkT4qLilGyK8h+CXhF1iaWWLj8I0Y0GKA3GXpzNWr6mdHR8DadE7MJyIJGO1JQ5GRkRg/frxm2v6Bi8gVFxdj8ODBcHZ2xv79+3Hjxg2EhIRACIElS5bIUS4R6ZkSUYKxm8fip5M/wcLMAuuHrcdTrZ6SuyydKt2d3qiRvHUQkeEz2sBZr149uLq6lrssJiYGCQkJSElJgbu7OwBg0aJFCA0Nxfz58+Hg4KDLUolIz5SIEkz4bQJWHV8Fc4U51r6wFkPbDJW7LNkoFHJXQESGzih3qQPAJ598gkaNGqFLly6YP3++1u7yuLg4dOjQQRM2ASA4OBgFBQU4duyYHOUSkZ4QQiBsSxhWqFbATGGGH5//ES/4vCB3WbKw+HdIorhY3jqIyPAZ5Qjn22+/jW7duqFBgwY4fPgwZs6cicTERKxYsQIAkJGRARcXF633NGjQAFZWVsjIyKhwvQUFBSgoKNBM5+TkSPMBiEgWQghM3TYVy44ugwIKrHxmJUZ0GCF3WbIxN1c/37snbx1EZPgMZoQzIiKizIlADz+OHj0KAJg6dSoCAwPRqVMnjBs3DsuXL0dUVBRu3LihWZ+inH1EQohy55dasGABHB0dNQ8fH5+6/6BEJJvZu2bjy0NfAgBWDF2B0Z1Hy1yRvEoDJ0c4iehRGcwIZ1hYGEaMqHykwdvbu9z5vXr1AgBcuHABjRo1gqurKw4dOqTV5tatWygqKioz8vmgmTNnIjw8XDOdlpbG0ElkJAqLC7HwwEIAwBt+b+C1rq/JXJH8Snepc4STiB6VwQROJycnODk51eq9KpUKAODm5gYA8Pf3x/z585Genq6ZFxMTA6VSCV9f3wrXo1QqoVQqNdPZ2dm1qoeI9I+VuRXe7P4mvjz0JVbGr8TYrmPh617x94EpsLJSPzNwEtGjMphd6tUVFxeHzz//HPHx8UhMTMTPP/+MCRMmYOjQoWjatCkAYMCAAfDx8cHo0aOhUqmwc+dOTJ8+HePHj+cZ6kQmbOGAhQhuEYy79+5i6NqhSMtOk7skWZUGTl6imIgeldEFTqVSiXXr1qFv377w8fHB+++/j/Hjx2PNmjWaNubm5vjjjz9gbW2N3r17Y9iwYXj22WexcOFCGSsnIrlZmFlgxdAVsLGwwZWcK3hn+ztylySr0l3qDJxE9KgMZpd6dXXr1g0HDx6ssl3Tpk3x+++/66AiIjIUf57/ExN+n4C79+4CAHo26SlzRfJK+3eA19lZ3jqIyPAZXeAkIqqpG3k3MHXbVPxw4gcAQPMGzfHfIf9Fv2b9ZK5MXgkJ6uf27eWtg4gMHwMnEZksIQTWJ6xH2J9huJZ7DWYKM0zpOQWRQZGws7KTuzzZlQbOdu3krYOIDB8DJxGZnDuFd5CclYw5u+Zg09lNAAAfZx98P/R79PQw7d3oDyoNnLz6GxE9KgZOIjIKd4vu4mruVWTcyUDGnQxcx4wZYwABAABJREFUvaN+rTXv39d5RXma91mYWWDmYzMxu89sKC2UlfwE0yEEsH49sG+fepqBk4geFQMnEemtwuJCXL1ztVpBMrugZtfFtbW0RXf37vhq0Ffo5NJJok9geNLTgUmTgE3qgV/4+QE9OehLRI+IgZOIdOpeyT1cz71eNjTeuYqM3PuBMuNOBm7l36rRupXmSrjau8LV3hUu9i5wtfv3uXSenYtmmb2VvUSf0DAJAaxcCYSHA7dvqy+JNHMmMHv2/etxEhHVFgMnEWkRQiD/Xj7yivJw995d5BXlqV8X3X9do2X/vs4tzEVmXiYy8zIhIKpdj4WZhXZYtHPRDpUPzHNQOkChUEjYO8YpKQmYMAGIiVFP+/oC338PdOLALxHVEQZOIgNRXFKsFeQeDno1WlZBWCydLzUzhRka2zUuGyAfGIEsnW5g0wBmCqO7R4VeKCkBli4FZswAcnMBa2tg3jz1KKcF/zoQUR3iVwrRIxBCoKikqM5GASsLgYXFur/di5W5FWwsbGBraat52Fjeny6z7IHpB9uVLmtk2wiu9q5oZNMI5mbmOv88dN/Nm8DIkcC2berpPn2AFSuA1q3lrYuIjBMDJxmlElFyf7dwLUYB7xbdRd696o0WlogSnX++qoJdhYGwsrD40DIbSxtYmPErwhipVMDzz6t3pdvYAAsXAhMnAmYcSCYiifCvCenUvZJ7td8N/EAIrGoksfTWhLpkrjB/pFHA6oZDawtrHqdItfa//6mP18zPB5o3V5+NzmM1iUhqDJz0yIpLinE56zIu3LyA8zfO4/xN9SMlKwW5RblaAbGopEjn9SnNlZWPApYus6hitLCKZZZmlgyCpLdyc4Hp04Hly9XTTz0F/Pgj0KCBvHURkWlg4KRqKS4pRkp2yv1AeeM8LtxSB8xLty7VKkhWK9hZ1G4UsHSZjYUNjxUkk3foEDB6NHD+vHp67lzg/fe5C52IdIeBkzSKS4qRmp16P1DevKAZrbx061KlJ60ozZVo0bAFWjZsiVYNW6FVw1Zo1qAZ6lnVKzccKs2VHA0kklhREfDhh8D8+UBxMdCkCRAdDfTvL3dlRGRqGDhNTIkoUYfKf0cqNaHy35HKguKCCt9rZW6FFg0eCJWN1MGyZcOW8HDw4EgikR45e1Y9qnn0qHp65Ejg66+5C52I5MHAaYRKRAnSstPuB8oHjqu8ePNipaHS0swSzRs014TJ0kDZqlEreDp4MlQS6bmSEnWw/M9/1CcGNWgALFsGDB8ud2VEZMoYOI1IXEocJm2ZhDOZZ5B/L7/CdhZmFupQ+W+gbNWolWbUsqljU4ZKIgMlhDpYrl+vnh4wQH3HoCZN5K2LiIiB04j8du43qDJUANShsln9Zlq7vUvDZVPHpry+IpERSk5Wh00zM+Crr4A33wR4qDQR6QOmDiMS5B2EBfsXoIF1A6RPS4fSQil3SUSkQ1lZ6mdnZ2DSJHlrISJ6EC+KYUT6evdFA+sGuJV/C4fSDsldDhHp2J076md7e3nrICJ6GAOnEbE0t8TQNkMBAJv/2SxzNUSkawX/ng947576eE4iIn3BwGlknmj2BADgQMoBmSshIl3r1g2wsgIuXwZOnZK7GiKi+xg4jYy/pz8A4Fj6MRTcq/jyR0RkfBwdgUGD1K/XrZO3FiKiBzFwGpkWDVrA2dYZhcWF+Dv9b7nLISIdK73e5rp13K1ORPqDgdPIKBQKzShnXGqczNUQkS6VlACdOqkvi3ThAvA3/89JRHqCl0UyQvWs6gEAzt04J3MlRCSFkhIgJQU4fVr9SEi4/5ybe79dXBzg6ytfnUREpRg4jUzMxRisPrkaAPBCuxdkroaIHkV1g+WDLC2B1q3VQfP553VbLxFRRRg4jciNvBsI/TUUADCp+yT0b9Ff3oKIqFpqGyzbtAF8fID27e8/t2ypXkZEpE8YOI2EEAIT/5iI9DvpaOvUFp/2/1TukojoIXURLEvDJYMlERkSBk4j8cOJH7A+YT0szCzw43M/wtbSVu6SiEzanTvAkSPA0aM1C5YPjla2bw+0aMFgSUSGj4HTSMzfNx8AMDdwLnzdeZYAkS4JoT4rPC4OOHhQ/XzihHpE82EPBssHwyWDJREZM6MLnHv27EFQUFC5yw4fPozu3bsDUF8+6GHLli3DxIkTJa1PKuLfC+497vW4zJUQGb/S0cu4uPshMzOzbDtPT6BXL6BjR+1jLC2M7puXiKhyRve1FxAQgPT0dK157733Hnbs2AE/Pz+t+dHR0Rg4cKBm2tHRUSc1SsHF3gXnb57H1TtX5S6FyKiUlAAXL2qHy/JGL5VK9Znh/v7qR69eQJMm8tRMRKRvjC5wWllZwdXVVTNdVFSEzZs3IywsrMyoZv369bXaGqp9l/chNTsVAHA1l4GTqDby8oBz54CzZ9WPf/5RP587p172ME/P++HS3x/o0kUdOomIqCyjC5wP27x5MzIzMxEaGlpmWVhYGMaNG4dmzZph7NixeP3112FmZjg3X9p3eR8iYiOwK3EXAMDSzBJdXLvIWxSRHhMCSEu7HyYffE5Orvh9HL0kIno0Rh84o6KiEBwcDE9PT635H3zwAZ544gnY2Nhg586dmDZtGjIzMzFnzpwK11VQUICCggLNdE5OjmR1V2bv5b2YFztPK2i+1vU1zHxsJrzqe8lSE5E+uXsXOH9eO1SWjlbeuVPx+5yc1Cf0tG2r/dysGU/oISJ6FAYTOCMiIjBv3rxK2xw5ckTrOM3U1FRs27YNP//8c5m2DwbLLl26AAAiIyMrDZwLFiyosgYp7b28FxF7IrA7aTcABk0ybUIA6enlj1ZevqxeXh5zc/UZ4Q+HyjZt1IGTiIjqnkKIir6W9UtmZiYyyzsN9AHe3t6wtrbWTH/wwQdYsmQJ0tLSYFnF8MRff/2Fxx57DBkZGXBxcSm3zcMjnGlpafDx8UFKSgo8PDxq8GlqhkGTTFlBQdnRytLnynYyNGigHSpLXzdvDlhZ6a5+IjIOqamp8PT0lPxvvrEymBFOJycnONVg+EEIgejoaIwZM6bKsAkAKpUK1tbWqF+/foVtlEollA+cFZCdnV3temrry4NfYsq2KQAYNMm05OcDX34JfPQRUNE/NTMzdYB8eDd427bq0cpyrn5GREQyMJjAWVO7du1CYmIixo4dW2bZb7/9hoyMDPj7+8PGxga7d+/G7Nmz8frrr2sFSn1gbmaueW2mMIOtpS1sLG1krIhIWkIAmzYB06cDiYnqeQ4O2qOUpa9btOCZ4UREhsBgdqnX1MiRI3H58mX89ddfZZZt3boVM2fOxIULF1BSUoLmzZtj3LhxmDRpEixqcEVmXQ2v77u8D7N3zca+5H0AADtLO0zpNQXTA6ajvnV9yX4uka7FxwNTpgCxseppNzfg44+BV15Rj2YSEcmFu9QfjdEGTl3Q5cYnhEDMxRjM3jUbx9KPAQDqW9fH8sHLMbzDcEl/NpHUrl4F5swBoqLUI5zW1uoRzv/8B7C3l7s6IiIGzkfFMQMDoVAoENwyGEfGH8HGYRvR3rk9buffxoTfJyD/Xr7c5RHVSkEB8OmnQKtWwIoV6rA5YoT6hKAPPmDYJCIyFgycBkahUOC5ds/h+MTj8HTwRFZBFn4/97vcZRHViBDAxo3q+4v/5z/qs839/ID9+4E1awAvnhNHRGRUGDgNlLmZOUZ1HAUA+OHEDzJXQ1R98fFAv37ACy8Aly6pj9NctQo4dAjo3Vvu6oiISAoMnAZsdOfRAIAt57cgM6/ya5QSye3qVWD8eKBbN2DPHvVxmnPmqO/+M2YMTwoiIjJm/Io3YD7OPujm1g33Su7h59Nl76ZEpA/S0oC5c7WP0xw+nMdpEhGZEqO9Dqcp+P3c77hw8wIA4Mz1MzJXQ3RfSQkQEwN8+y3w229AcbF6vq+v+mLu3HVORGRaGDgNUIkowYd7P8TcPXMBAI81fQzvBb4nc1VE6t3m0dHAd9/dv2g7ADz+OPDmm8BLL3HXORGRKWLgNDBZ+VkY8+sYbP5nMwBgUvdJWBy8GFbmvDk0yUMI9TGZ336rPvO8qEg9v3599bGZEyaoz0YnIiLTxcBpQM5cP4Pn1j2Hf278A6W5EsufXo7QLqFyl0Um6uZN9dnl334L/PPP/fk9ewITJwLDhgG2tvLVR0RE+oOB00DsvbwXT//0NHIKc+Dh4IFNwzfBz91P7rLIxJSUqEczV64Efv5ZfeF2QH3izyuvqEczu3SRsUAiItJLDJwG4qN9HyGnMAd9mvbB+mHr0diusdwlkQk5fx743//Uj+Tk+/O7dFGPZo4cCdSrJ1t5RESk5xg4DUT6nXQAwJzH5zBskk7cvq0exVy1Cjhw4P58R0f1ZY1eew3o0QNQKGQrkYiIDAQDp4EovbC7k62TzJWQMcvLA3bvBn74Afj11/u7zM3MgOBgICQEGDoUsLGRtUwiIjIwDJwGoLikGNdzrwMAGtk0krkaMiZCAKdOAdu2qa+buXfv/ZAJAO3bq0PmqFGAu7t8dRIRkWFj4DQAZzLPoKikCHaWdvBw8JC7HDJwmZnAjh33Q+aVK9rLPTyA555TB81u3bjLnIiIHh0DpwE4knYEAODr7gtzM3OZqyFDU1QEHDyoDpjbtgHHjqlHNkvZ2ACBgepd5sHBQNu2DJlERFS3GDgNwJEr6sDZ3b27zJWQobh0ST16uW0bsGsXkJ2tvbxjR3W4HDAA6NMHsLaWp04iIjINDJwG4OiVowAYOKliJSXqcPnHH+rnCxe0lzdqBPTvfz9k8nhMIiLSJQZOA3Dq2ikAQDvndjJXQvroyhXg1VfVI5qlLCwAf//7u8m7deM9zImISD4MnAagk0snHEo7hE1nNqGTSye5yyE9snEjMH68+jaT1tZAaKg6YPbrBzg4yF0dERGRGsc8DMDUXlMBAN8c+Qb59/Jlrob0QU6O+sLrL7ygDpvdugF//w0sWwY8+yzDJhER6RcGTgPwgs8LaOrYFNfzruPn0z/LXQ7JbO9eoHNnIDpafTb5zJlAXBzQjkdcEBGRnmLgNADmCnPNBd9zCnJkrobkkpcHTJmivoRRYiLg5QXExgIffQRYWcldHRERUcV4DKcBiEuNgypDBaW5EsM7DJe7HJLBX3+pTww6f149PX48sHAhd50TEZFh4AinAVhyeAkAYGTHkbyXuom5exeYPl19rczz54EmTYCtW4HvvmPYJCIiw8ERTj13JecK1iesBwC81eMtmashXTp0SH17yX/+UU+/+iqweDFQv76sZREREdUYRzj13NIjS3Gv5B4ea/oYurp1lbsc0oF794D33gMCAtRh080N+P134PvvGTaJiMgwcYRTj6XnpOOLg18AAKb0nCJrLaQbSUnAqFHAgQPq6VdeAb76CmjQQNayiIiIHglHOPXYe7vfQ25RLnp59MLz7Z6XuxyS2C+/AF26qMOmgwOwdi3www8Mm0REZPg4wqmnjmccx/eq7wEAiwcshkKhkLkikkpurvpyRytWqKd79QJ++glo1kzWsoiIiOoMRzj1kBAC02KmQUBgWPth8Pf0l7skksjx44CfnzpsKhTA7NnqC7szbBIRkTExyMA5f/58BAQEwNbWFvUrOIsiOTkZQ4YMgZ2dHZycnDB58mQUFhZqtTl58iQCAwNhY2ODJk2aIDIyEkIIHXyCyu1O2o2diTthZW6Fj5/4WO5ySCIrVgA9ewJnzwLu7sDOncCHHwKWlnJXRkREVLcMcpd6YWEhXnrpJfj7+yMqKqrM8uLiYgwePBjOzs7Yv38/bty4gZCQEAghsGSJ+pqW2dnZ6N+/P4KCgnDkyBGcO3cOoaGhsLOzw7Rp03T9kbSkZKUAANo0aoNmDTjUZWyKioCpU4FvvlFPP/20+jaVTrzEKhERGSmDDJzz5s0DAKxcubLc5TExMUhISEBKSgrc3d0BAIsWLUJoaCjmz58PBwcHrF69Gvn5+Vi5ciWUSiU6dOiAc+fOYfHixQgPD5f1mMnBrQfDwswCJ6+dxOlrp9G+cXvZaqG6df068NJL6ltSAuoRzVmz1LvTiYiIjJVB7lKvSlxcHDp06KAJmwAQHByMgoICHDt2TNMmMDAQSqVSq82VK1eQlJRU7noLCgqQnZ2teeTkSHNfcydbJwxuNRgA8MOJHyT5GaR78fFA9+7qsFmvHvB//6c+ZpNhk4iIjJ1RBs6MjAy4uLhozWvQoAGsrKyQkZFRYZvS6dI2D1uwYAEcHR01Dx8fHwmqVxvdaTQA4McTP6K4pFiyn0O68csvQO/ewOXLQMuWwMGDwNChcldFRESkG3oTOCMiIqBQKCp9HD16tNrrK2+XuBBCa/7DbUpPGKpod/rMmTORlZWleSQkJFS7npp6uvXTqG9dH2k5adidtFuyn0PSKikB5swBhg0D8vKAAQOAw4cBCf+vQkREpHf05hjOsLAwjBgxotI23t7e1VqXq6srDh06pDXv1q1bKCoq0oxiurq6lhnJvHbt/9m777iq6seP46/LFEFwoOIeOcmZpKKZK0eZWv1ypJmU2jCzxJYNV5kt/X5bZparNDVLy8rMkSPTXEHuzHKAgltBVOb5/XG+XEVAQIFz7+X9fDzu49577uHe9z1cL28/Zx0HyDTymc7b2zvDKvi4uLhc5bke3h7edLmpCwt2LSAyNpI7at5RYK8lBSMuDgYMgCVLzPvh4fDWW+DhMP/qRERECofD/OkLDAwkMJ920w0NDWXChAnExMRQoUIFwNyRyNvbm2bNmtnneemll0hKSsLLy8s+T8WKFXNdbAtaaZ/SAMQnFsy2olJw/vnHXGW+ezd4e8O0afDQQ1anEhERsYbDrFLPi8OHDxMZGcnhw4dJTU0lMjKSyMhIzp8/D0Dnzp0JDg5mwIABREREsGrVKp599lmGDBmCv78/AP369cPb25uwsDB27tzJ4sWLeeONNyzfQ/1KJbxKABCXWHAjqZL/Vq82dw7avRsqVDAP5K6yKSIiRZnDjHDmxejRo5k9e7b9ftOmTQFYvXo17dq1w93dnR9//JGhQ4fSunVrfHx86NevH++++679ZwICAlixYgVPPvkkISEhlCpVivDwcMLDwwv9/WSnrG9ZAFYeWMmllEsU8yhmcSLJyTffQL9+kJQEzZvD4sXmQd1FRESKMpvhCKfWcVLR0dFUqVKFqKgoKleunO/PfzzhOA2mNODEhROMDB3Ju53fzfmHxDLTp8Ojj5o7Ct1/P3zxBRTT/xFERFxCQf/Nd3VOuUq9qCjnW47pPcwzKU3aOIlV/66yOJFk5513YPBgs2wOGQLz56tsioiIpFPhdHDd63bnsWaPATDw24Gcvnja4kRyJcOAUaPg+efN+y++CJ98Au7u1uYSERFxJCqcTmBS50nULl2bI/FHeOLHJ6yOI/+TlgaPPw5vvmnef+stmDhRZw4SERG5mgqnE/D18mV8+/EAfLXrK85cPGNxIklLM1ehT5sGbm7w6aeXRzlFREQkI6fcS72oSUpN4q3f3gKgZ92elPIpZXGioi0tzdw5aOZMc9X53LnQp4/VqURERByXRjidwBu/vkFkbCRlfMrwyd2fWB2nSEtLg8ceM/dId3ODOXNUNkVERHKiwung/oj5gwm/TgDgo7s+orxf1qfdlIKXvs3mZ59dLps5nI1VREREUOF0aIkpiYR9G0ZKWgr3B99P75t7Wx2pyEpLgyefNLfVdHMzj7H5wANWpxIREXEOKpwObPk/y9lxfAeBxQOZctcUhznlZlFjGDBsGEydau6BPnu2eTYhERERyR0VTgcWHRcNwG1Vb7Of5lIKl2GYI5sff2yWzVmz4MEHrU4lIiLiXFQ4HdiJCycAKFtcZdMK6SOb6WVz5kx46CGrU4mIiDgfFU4HdurCKQD8vf0tTlI0TZ8OU6aYZXPGDBg40OpEIiIizkmF04HVL1sfgG/3fktqWqrFaYqepUvN65degrAwS6OIiIg4NRVOBzag0QBK+5TmnzP/8N1f31kdp0gxDPj9d/N2ly7WZhEREXF2KpwOzNfLl6EhQwF4d8O7FqcpWqKjISbGPJNQs2ZWpxEREXFuKpwObljzYXi5e7ExeiO/Hf7N6jhFxqZN5nWjRlC8uLVZREREnJ0Kp4Mr71eeAY0GAPDpH59anMb1GQZ8+y2MGWPeb9HC0jgiIiIuQYXTCRiGAUAxj2IWJ3FdaWmweDE0bQr33gu7d4Ofn3nedBEREbkxKpwO7kLyBRbuXghA/4b9LU7jetLS4JtvzKJ5333w559m0Rw1Cg4cgCZNrE4oIiLi/DysDiDX9t3e74hPiqdGyRq0rtra6jguI71ojh8PO3ea00qUgOHDYcQIKFPG2nwiIiKuRIXTwX2+/XMAHmz0IG42DUjfqLQ0WLgQXnsNdu0yp/n7w9NPwzPPQOnSlsYTERFxSSqcDuzY+WMs/2c5gH3HIbkxo0bB22+btwMCzJL59NNQqpSlsURERFyaCqcDW/r3UtKMNJpVaEbtMrWtjuP0UlPN01UCPPeceQahkiUtjSQiIlIkqHA6sKX7zXMrdqvdzeIkrmHTJjh1yiyZb7wBHvr0i4iIFAptFOigklOT7avTu9VR4cwPP/5oXnfporIpIiJSmFQ4HdT6w+uJS4yjbPGyhFQMsTqOS0gvnN3U30VERAqVCqeDSh/dbFCuATZsFqdxfosXm8fYtNmga1er04iIiBQtKpwOqk6ZOgCsPriap356itS0VIsTOae0NPNYm/fdZ97v2xfKlrU2k4iISFGjwumgHm76MB/c+QE2bHy05SP6LepHYkqi1bGcSkIC9O59+bzow4fD559bm0lERKQoUuF0YMOaD2Pe/83D082Tr3Z9RY/5PTTSmUv790Pr1ubZhDw9zcMhvfeedhYSERGxggqng+vToA8/9vsRX09flv+znO/++s7qSA5vwQK45RZzm81y5WD1anjkEatTiYiIFF1OWTgnTJhAq1atKF68OCWzOHL3n3/+yQMPPECVKlXw8fGhfv36vPfeexnmOXjwIDabLdNl2bJlhfQucq/TTZ14usXTALy36b0c5i66Ll6Exx83t9OMj4fbboNt28yRThEREbGOUxbOpKQkevXqxRNPPJHl49u2baNs2bLMmTOHXbt28fLLLzNq1Cg+/PDDTPOuXLmSmJgY+6VDhw4FHf+6DL11KB5uHqw7tI7I2Eir4zicv/6Cli3hk0/MPdFfftkc2axc2epkIiIi4pRbtI0bNw6AWbNmZfn4I1etP61ZsyYbN25k0aJFDBs2LMNjZcqUISgoqEBy5qdK/pW4P/h+5u+cz3ub3mNmz5lWR3IYc+aYI5sJCeYq9DlzoFMnq1OJiIhIOqcc4bwe586do3Tp0pmm9+jRg3LlytG6dWu+/vrraz5HYmIicXFx9kt8fHxBxc1S+mr1L3d8yfGE44X62o4mLQ3WrjX3Qh8wwCyb7dtDZKTKpoiIiKMpEoVz48aNfPXVVzz22GP2aX5+fkyePJmvv/6apUuX0rFjR/r06cOcOXOyfZ6JEycSEBBgvwQHBxdGfABOXTjFG7++AUBSahJR56IK7bUdyYEDMG4c1KoF7drBwoXg5mZOW7ECKlSwOqGIiIhczWFWqY8dO9a+qjw7W7ZsISQkb6d53LVrFz179mT06NF0umLoKzAwkBEjRtjvh4SEcObMGd5++20efPDBLJ9r1KhRhIeH2+8fOXKkUErnukPr6PdNP47EH8HL3YvJnSfTrGKzAn9dR3H+vHl4o1mzYM2ay9NLlIA+fczV6c2KzuIQERFxOg5TOIcNG0bfvn2vOU/16tXz9Jy7d++mQ4cODBkyhFdeeSXH+Vu2bMlnn32W7ePe3t54e3vb78fFxeUpT16lpqUy4dcJjFs7jjQjjTpl6rDg/gU0CWpSoK/rCNLSYP16mDnTHMVMSDCn22zQsSOEhcG990Lx4pbGFBERkVxwmMIZGBhIYGBgvj3frl276NChAwMHDmTChAm5+pmIiAgqOMg62SNxR3hw8YOsObgGgIGNB/LhXR/i5+VnbbACdvCgeTag2bPh338vT69VyyyZAwZA1apWpRMREZHr4TCFMy8OHz7M6dOnOXz4MKmpqURGRgJQq1Yt/Pz82LVrF+3bt6dz586Eh4cTGxsLgLu7O2X/dyLt2bNn4+npSdOmTXFzc+P777/n/fff56233rLqbdn9uO9Hwr4L4+SFk/h6+vJxt48Z0HiA1bEKTHIyfPstfPyxeSijdOmrzMPCoFUrc3RTREREnI9TFs7Ro0cze/Zs+/2mTZsCsHr1atq1a8fChQs5ceIEc+fOZe7cufb5qlWrxsGDB+33X3/9dQ4dOoS7uzt16tRhxowZ2W6/WRiSUpMYtXIUk3+fDEDToKbMv38+dcrUsSxTQTp+HD791CyaR46Y07TKXERExPXYDMMwrA7hrKKjo6lSpQpRUVFUvsEjjP9z+h/6ftOXrUe3AjC8+XDe7vQ23h7eOfyk89m6FT74AObPh6Qkc1q5cvDoozBkiFaZi4iI48nPv/lFkVOOcLqaeTvm8dgPjxGfFE9pn9LM7DmTHnV7WB0rXxkGfP01TJ4Mv/9+eXrz5vDUU9CrF3i7XrcWERERVDgtlZCUwPCfhjMjcgYAt1W9jS/v+5IqAVUsTpb//vMfGDnSvO3paW6b+dRTZuEUERER16bCaZETCSdoO6ste07uAeDlNi8ztt1YPNxc71eydCk895x5e8QIeOEFKF/e2kwiIiJSeFyv3TiJdYfW2csmwCfbPuHg2YPcWetOutTqQmDx/DtElJV27YK+fc3jag4ZApMmaW9zERGRokY7Dd2AG9mAOM1IY+72uXz313es+HcFcYmXDyJvw0bzSs25s9ad3Fn7TkIqhuBmc76zkJ48CS1amMfTbNsWli8HLy+rU4mIiOSddhq6MSqcNyC/PnzJqclsiNrAT/t/4qf9P7H92PYMjwcWD6TLTV3oFdyLnvV63mjsQpGUBJ07w9q1ULMmbNoE+XhcfxERkUKlwnljVDhvQEF9+I7EHWHZ/mUs3b+Ulf+uzDD6uf7h9bSu2jrfXqsgpKRA//7w1Vfmwds3boSbb7Y6lYiIyPVT4bwxzreetgio5F+JQbcM4pve33DyuZNM6jwJAE83T6qXrG5tuBykpsLDD5tl09PTPA+6yqaIiEjRpsLp4DzdPVl1YBUAYU3CqORfyeJE2UtLg8cegzlzwMPDLJtdulidSkRERKymwungImMjWfr3Utxsbjzf+nmr42TLMMzjak6fDm5uMHcu9HSOzU1FRESkgKlwOriJ6ycC0OfmPtQqXcviNFkzDPOg7lOmmIc8mj0beve2OpWIiIg4ChVOBxaXGMfCXQsBuLfevRanyd7WreaZhACmTYMHH7Q2j4iIiDgWFU4HVsKrBHfUvAOAYT8NY//p/RYnylqNGuDra94uW9baLCIiIuJ4VDgdmM1m4+veX3NLhVs4nnCczl90JiY+xupYmQQGwvDh5u0xY8ydh0RERETSqXA6OH9vf5b2W8pNpW7iwNkD3Dn3Ts5dOmd1rEyefdY85uaff8LixVanEREREUeiwukEyvuVZ/mA5QT5BfHnsT/pOb8nl1IuWR0rg9KlYcQI8/aYMebxOEVERERAhdNp1CxVk2X9l1HMoxhrD61l+h/TrY6UyYgRULIk7NoFP/1kdRoRERFxFCqcTiT2fCyXUi5hw8atlW61Ok4mJUtCv37m7Z9/tjSKiIiIOBAVTicRnxjPoz88CsBTzZ+ieaXmFifKWseO5vXKldbmEBEREcehwukkRq0axeFzh6lRsgZvdHzD6jjZat/ePPj73r1w5IjVaURERMQRqHA6gXWH1vHRlo8A+LT7p/h6+VqcKHulSkFIiHl71Sprs4iIiIhjUOF0Aq/88goAg5sOpmPNjhanyVn6avV166zNISIiIo5BhdMJRMdFA/BI00csTpI75cub1xcuWJtDREREHIMKpxO4kGw2N0delX6llBTz2sPD2hwiIiLiGFQ4ncDFlIsA+Hj4WJwkd9IP+u7ubm0OERERcQwqnE4gfYTTx9M5CqdGOEVERORKKpwOLjUtlZQ0s8F5uDlHg4uLM69VOEVERARUOB2eu5s7NUrWACAiJsLiNDlLSYF588zbrVpZm0VEREQcgwqnE+hQowMAqw44/oEtf/wRoqIgMBB69bI6jYiIiDgCFU4n0LGGeWDLXw78YnGSnE2ZYl4PGgTFilmbRURERByDCqcTaF+jPQCRsZGcunDK4jTZS0iAX/7XiQcNsjaLiIiIOA6nLJwTJkygVatWFC9enJIlS2Y5j81my3SZOnVqhnl27NhB27Zt8fHxoVKlSowfPx7DMArhHeRNcc/iBHgHYGDwe/TvVsfJ1oYN5jacVatC7dpWpxERERFH4ZT7ESclJdGrVy9CQ0OZPn16tvPNnDmTrl272u8HBATYb8fFxdGpUyfat2/Pli1b2LdvH2FhYfj6+jJy5MgCzZ8XF5Mv0mNeD84lniOweCCNgxpbHSlba9aY1+3aWZlCREREHI1TFs5x48YBMGvWrGvOV7JkSYKCgrJ8bO7cuVy6dIlZs2bh7e1NgwYN2LdvH5MnTyY8PBybzZbfsfMsOTWZ3l/3Zu2htZTwKsHPD/5MZf/KVsfK1tq15nXbttbmEBEREcfilKvUc2vYsGEEBgZy6623MnXqVNLS0uyPbdy4kbZt2+Lt7W2f1qVLF44ePcrBgwezfL7ExETi4uLsl/j4+ALN/8LKF/hh3w8U8yjGD/1+4JYKtxTo692ICxdg82bztkY4RURE5EouWzhfe+01Fi5cyMqVK+nbty8jR47kjTfesD8eGxtL+fLlM/xM+v3Y2Ngsn3PixIkEBATYL8HBwQX3BoDv930PwCd3f8Lt1W4v0Ne6UQkJkJxs3s5mUFlERESKKIcpnGPHjs1yR58rL1u3bs31873yyiuEhobSpEkTRo4cyfjx43nnnXcyzHP1avP0HYayW50+atQozp07Z7/s3r07j+8ybxJTEgEILluwxTY/BAaaF4A9e6zNIiIiIo7FYbbhHDZsGH379r3mPNWrV7/u52/ZsiVxcXEcO3aM8uXLExQUlGkk8/jx4wCZRj7TeXt7Z1gFH5d+DscCkphqFk4vd68CfZ38YLNBw4awejXs3AnNmlmdSERERByFwxTOwMBAAtOHyApAREQExYoVsx9GKTQ0lJdeeomkpCS8vMxCt3z5cipWrHhDxTY/JaUmAeDt7p3DnI6hQYPLhVNEREQkncOsUs+Lw4cPExkZyeHDh0lNTSUyMpLIyEjOnz8PwPfff8+nn37Kzp07+eeff/jss894+eWXefTRR+0jlP369cPb25uwsDB27tzJ4sWLeeONNxxmD3W4vErd3c3d4iS506CBeb1mDVy8aGkUERERcSBOWThHjx5N06ZNGTNmDOfPn6dp06Y0bdrUvo2np6cnU6ZMITQ0lEaNGvHee+8xfvx4Jk2aZH+OgIAAVqxYQXR0NCEhIQwdOpTw8HDCw8OteluZVCtZDYDX1r1mcZLcad8ePDxg61a47TY4cMDqRCIiIuIIbIYjnlrHSURHR1OlShWioqKoXDn/j4/566FfaT+7PalGKjN7ziSsSVi+v0Z+W7kSHngATp6EUqVg7ly4806rU4mIiNyYgv6b7+qccoSzqGhTrQ3j248H4MmlT7L7RMHuFZ8f7rgD/vgDmjeHM2egWzcYNw6uOASqiIiIFDEqnA7uxdtepFPNTlxIvkDvhb25kHzB6kg5qlIF1q2Dxx8Hw4CxY+Huu+H0aauTiYiIiBVUOB2cm82NL+79giC/IHad2MXLq162OlKueHvDxx/DrFlQrBj89BOEhMCRI1YnExERkcKmwukEVh9cTVyieczPf8/+a3GavBk4EDZuhBo1zJ2IHnwQUlOtTiUiIiKFSYXTgaWkpTDy55E88M0DXEi+QOebOjOjxwyrY+VZkybw88/g52ceMmnCBKsTiYiISGFS4XRQxxOO0+mLTkz+fTIAo24bxdJ+SylTvIzFya5P7drmKnYwdyJat87aPCIiIlJ4VDgd0JYjW2g2rRlrDq7Bz8uPb3p/wxsd33CaA8Bn58EHISzM3GO9Xz/z0EkiIiLi+lQ4HcwvB36hzcw2RMdFU6dMHTYN3sR99e+zOla++eADqFvX3Hnovvtg/36rE4mIiEhBU+F0MDuO7SAx1TylZTnfcni6eVqcKH/5+cGCBeDjA7/+CsHBEB5uHrNTREREXJMKp4MZ1nwYkztPprhncdYfXk+jqY14a/1bJKcmWx0t3zRubJ7+8s47ITkZ/vMfqFXLHP1Mdp23KSIiIv+jwulg3N3cGRE6gp1P7KRTzU5cSrnEi6tepMVnLfgj5g+r4+Wb4GBYuhSWLYObbzYPCj98ODRsCD/8YB4wXkRERFyDCqeDqlGqBj8/+DOzes6iVLFSRMRG0PzT5ryw4gWnONtQbnXpApGRMHUqlC0Lf/0F3btDp07w559WpxMREZH8oMLpwGw2GwObDGTPk3voc3MfUo1U3t7wNk0/acrJC66zi7eHBzz2GPz9N7zwAnh5wapV0LQpTJxodToRERG5USqcTqC8X3kea/YYpX1KA7Dv1D6Oxh+1OFX+CwiAN9+EvXuhZ09ztfr06VanEhERkRulwungzl46y6PfP0qHzztw+uJpKvtX5ocHfqBR+UZWRyswNWrA2LHm7Quus/WAiIhIkeVhdQDJ3qp/V/HQtw/ZRzOfCHmCN+94E39vf4uTFTwfH/NahVNERMT5aYTTQV1KucT9C+/naPxRapeuzdqwtUzpNqVIlE0wV68DnDsH/fvrOJ0iIiLOTIXTQa36dxVnL52lYomK/Pn4n9xe7XarIxWqoCDznOtubvDll9CgAfz0k9WpRERE5HqocDqoxXsXA3BP3Xvw8fSxOI01Ro+GDRugTh04ehTuusvcmz0+3upkIiIikhcqnA4oNS2VJX8tAeDe+vdanMZaLVpARAQ884x5f9o080xF69ZZGktERETyQIXTAf0W9RsnLpygVLFStK3W1uo4lite3Dz95erVUK0aHDgA7drByJGQmmp1OhEREcmJCqcD2nxkMwC3VroVT3dPi9M4jnbtYPt2GDzYPEbn5Mnw0UdWpxIREZGcqHA6oDZV2wCw5uAaYs/HWpzGsfj7w6efmiOeAG+8oUMniYiIODoVTgfUonILQiuHkpSaxNStU62O45CGDoXq1eHYMfj4Y6vTiIiIyLWocDqoZ1o+A8DHWz/mUsola8M4IC8vePVV8/abb8L589bmERERkeypcDqo++rfRxX/KhxPOM68HfOsjuOQHnoIbroJTp6EDz6wOo2IiIhkR4XTQXm4eXB/8P0A/PzPzxancUyGAXXrmrfnqZOLiIg4LBVOB3Ux+SLzd84H4Laqt1mcxvHEx0OPHrB0qXk2omeftTqRiIiIZMfD6gCStSlbphBzPoaqAVUZcssQq+M4lJgY6NbNPCB88eIwfz507251KhEREcmOCqcDik+M583f3gRgTNsxeHt4W5zIcezZA3feCYcOQdmy8OOPcOutVqcSERGRa3HKVeoTJkygVatWFC9enJIlS2Z6fNasWdhstiwvx48fB+DgwYNZPr5s2bJCfjeZ/ff3/3LywknqlKnDQ40fsjqOw/j1V2jd2iybtWvDxo0qmyIiIs7AKUc4k5KS6NWrF6GhoUyfPj3T43369KFr164ZpoWFhXHp0iXKlSuXYfrKlSu5+eab7fdLly5dMKHz4PPtnwPwSJNH8HBzyl9Rvtu2zRzZTEiA0FBYsgQCA61OJSIiIrnhlCOc48aNY8SIETRs2DDLx318fAgKCrJf3N3d+eWXXxg0aFCmecuUKZNhXi8vr4KOn6N76t4DwIdbPiQuMc7aMA7gwAFzm82EBOjYEVatUtkUERFxJk5ZOPPq888/p3jx4tx///2ZHuvRowflypWjdevWfP311xaky2xc+3HULFWT6LhoRq0cZXUcS508CV27mmcUatwYFi0CHx+rU4mIiEheFInCOWPGDPr164fPFU3Fz8+PyZMn8/XXX7N06VI6duxInz59mDNnTrbPk5iYSFxcnP0SHx9fIHmLexbns+6fATBl6xR+PfRrgbyOo7twwTz00b59ULWqeQgkf3+rU4mIiEheOUzhHDt2bLY7+qRftm7dmufn3bhxI7t37860Oj0wMJARI0bQvHlzQkJCGD9+PEOHDuXtt9/O9rkmTpxIQECA/RIcHJznPLnVvkZ7++GQBi0ZxMXkiwX2Wo7o0iXo39/cMahkSfjpJ6hY0epUIiIicj0cpnAOGzaMPXv2XPPSoEGDPD/vZ599RpMmTWjWrFmO87Zs2ZK///4728dHjRrFuXPn7Jfdu3fnOU9evN3pbSqWqMjfp/9m2rZpBfpajiItDb74wjyD0LffmudM/+47KMBuLyIiIgXMYXaBDgwMJDCf9wQ5f/48X331FRMnTszV/BEREVSoUCHbx729vfH2vnxMzLi4gt2hp2SxkrzS5hWGLh3KZxGfMbzFcGw2W4G+ppVWrIDnn4fISPN+pUowbRrcfrulsUREROQGOUzhzIvDhw9z+vRpDh8+TGpqKpH/ayi1atXCz8/PPt+CBQtISUmhf//+mZ5j9uzZeHp60rRpU9zc3Pj+++95//33eeuttwrrbeTKAw0fIHx5ODuP72Tzkc20qNzC6kj5LjLSLJorVpj3/f1h1Ch4+mntICQiIuIKnLJwjh49mtmzZ9vvN23aFIDVq1fTrl07+/Tp06dz3333UapUqSyf5/XXX+fQoUO4u7tTp04dZsyYwYMPPlig2fOqZLGS3B98P3O2z2F6xHSXKpyHDsGrr8KcOWAY4OkJTz4JL7+swx6JiIi4EpthGIbVIZxVdHQ0VapUISoqisqVKxfY66w9uJZ2s9vh5+VHzMgY/Lz8cvwZR3bpEoweDe+/D4mJ5rQHHoDXX4eaNa3NJiIikpXC+pvvqhxmpyHJ3u3VbqdW6VqcTzrPwl0LrY5zw6ZNg3feMctm+/awdSt8+aXKpoiIiKtS4XQCNpuNQU3Nwzp9FvGZxWluXJMm5rWnJ8ydC7k4gICIiIg4MRVOJzGw8UDcbe5siNrAnhN7rI5zQ9q0gVatIDkZ/vtfq9OIiIhIQVPhdBIVSlSgW51uAMyImGFxmhtjs5l7oQN8/DGcOWNtHhERESlYKpxOJH21+uw/Z5OUmmRxmhvTrRs0bAjx8fDRR1anERERkYKkwulE3G3uAJy4cILNRzZbnObG2Gzw4ovm7XffhQMHrM0jIiIiBUeF0wkYhsGb69+k+7zuALSo1IKmQU0tTnXjeveG0FA4dw769IEk5x60FRERkWyocDq4+MR4en/dm1GrRmFgMOSWIawNW4uvl6/V0W6YhwfMnw+lSsGWLfDcc1YnEhERkYKgwunAUtNSueOLO/h699d4unnyyd2fMK37NLw9vHP+YSdRtSp89r8jPb3/Pvz2m7V5REREJP855akti4rv/vqOzUc24+/tz7L+ywitEmp1pHx35Ai8/bZ5283N3LZTREREXItGOB2UYRi89dtbADzV/CmXLJu//QYhIbBpk7la/aefzONzioiIiGtR4XRQ6w6tY/ORzXi7e/NU86esjpPvPvnEPK1lbKx5eKQtW6BzZ6tTiYiISEFQ4XRQ6aObDzd5mPJ+5S1Ok38SE+HRR+Hxx80zDfXqBRs3wk03WZ1MRERECooKpwPaf3o/P+3/CTebG8+2etbqOPnm99/NwyB9+qm5reabb8KCBeDr/Dvci4iIyDVopyEHZBiG/XaqkWphkvxx4oR5kPcZ/zsjZ6lS8OWX0LWrtblERESkcGiE0wHVLlObu+vcTZqRxmvrXrM6znVLTTVPW1mnzuWyGRYGe/aobIqIiBQlKpwOamzbsQB8ueNL/jr5l7VhrkP6HujDhsHZs9C0KWzYADNnQnnX2SRVREREckGF00E1q9iMHnV7ON0o57FjMHAg3HYbREZCyZLmKOeWLeb2myIiIlL0qHA6sDFtxwAwb+c8Dpw5YHGanB06BPXrw+efm/cHD4Z9+2DoUHB3tzabiIiIWEc7DTmwDVEbALBhIyUtxeI0OYuKgjNnwNsb1q6FFi2sTiQiIiKOQCOcDmpD1AZG/DwCgHc6vUPtMrUtTpSzBg3M68REc0chEREREVDhdEix52PptbAXKWkp9L65N8+0fMbqSLlSsiRUq2be3r7d0igiIiLiQFQ4HUxKWgp9v+7L0fij1A+sz/Qe07HZbFbHyrXGjc3rP/+0NoeIiIg4DhVOB/P2b2+z9tBa/Lz8WNRnEX5eflZHypMmTcxrFU4RERFJp8LpYE4knACgVula1CnjfBtC1qplXkdFWZtDREREHIcKp4N54bYXKOFVgsjYSD7/83Or4+SZv795HR9vbQ4RERFxHCqcDibIL4hXb38VgBdXvkhcYpzFifJGhVNERESupsLpgJ5u+TS1S9fmWMIxXl/3utVx8qRECfM6zrl6soiIiBQgFU4H5OXuRTGPYgC8s+EdbONs+L7hy75T+yxOlrPNm81rbcMpIiIi6VQ4HVTVgKoZ7l9IvoBhGBalyb3ERKsTiIiIiKPRqS0d1A/9fmD7se38dfIvQiqGAFDJv5LFqXI2YgTccQf4+lqdRERERByF041wHjx4kEGDBlGjRg18fHy46aabGDNmDElJSRnmO3z4MN27d8fX15fAwECGDx+eaZ4dO3bQtm1bfHx8qFSpEuPHj3eoUcRG5RvR6+Ze1ChVgxqlauDl7mV1pFxp2BBq1rQ6hYiIiDgKpxvh3Lt3L2lpaXzyySfUqlWLnTt3MmTIEBISEnj33XcBSE1NpVu3bpQtW5b169dz6tQpBg4ciGEYfPDBBwDExcXRqVMn2rdvz5YtW9i3bx9hYWH4+voycuRIK9+iiIiIiEuxGY40pHed3nnnHT7++GP+/fdfAH766SfuvvtuoqKiqFixIgDz588nLCyM48eP4+/vz8cff8yoUaM4duwY3t7eALz55pt88MEHREdH5+p0ktHR0VSpUoWoqCgqV65ccG9QRERELKW/+TfG6VapZ+XcuXOULl3afn/jxo00aNDAXjYBunTpQmJiItu2bbPP07ZtW3vZTJ/n6NGjHDx4sNCyi4iIiLg6p1ulfrV//vmHDz74gEmTJtmnxcbGUr58+QzzlSpVCi8vL2JjY+3zVK9ePcM86T8TGxtLjRo1Mr1WYmIiiVfshn3u3DkAYmJi8uW9iIiIiGNK/1uflpZmcRLn5DCFc+zYsYwbN+6a82zZsoWQkBD7/aNHj9K1a1d69erF4MGDM8yb1SpxwzAyTL96nvStC7JbnT5x4sQsMzZv3vyauUVERMQ1REVFUbVq1ZxnlAwcpnAOGzaMvn37XnOeK0ckjx49Svv27QkNDWXatGkZ5gsKCmLTpk0Zpp05c4bk5GT7KGZQUJB9tDPd8ePHATKNjqYbNWoU4eHh9vunT5+mRo0a7Ny5k4CAgGu/wSIqPj6e4OBgdu/eTYn00xCJnZZPzrSMcqZldG1aPjnTMsrZuXPnaNCgAfXr17c6ilNymMIZGBhIYGBgruY9cuQI7du3p1mzZsycORM3t4ybooaGhjJhwgRiYmKoUKECAMuXL8fb25tmzZrZ53nppZdISkrCy8vLPk/FihUzrWpP5+3tnWGbz3RVqlTBP/0k4pJB3P/OcVmpUiUtoyxo+eRMyyhnWkbXpuWTMy2jnKUvFw8Ph6lOTsXpdho6evQo7dq1o0qVKrz77rucOHGC2NjYDKOVnTt3Jjg4mAEDBhAREcGqVat49tlnGTJkiP0D069fP7y9vQkLC2Pnzp0sXryYN954g/Dw8FztoS4iIiIiueN0NX358uXs37+f/fv3ZzosQfo2mO7u7vz4448MHTqU1q1b4+PjQ79+/ezH6QQICAhgxYoVPPnkk4SEhFCqVCnCw8MzrDIXERERkRvndIUzLCyMsLCwHOerWrUqP/zwwzXnadiwIevWrbvuLN7e3owZMybL1exi0jK6Ni2fnGkZ5UzL6Nq0fHKmZZQzLaMb4xIHfhcRERERx+V023CKiIiIiHNR4RQRERGRAqXCKSIiIiIFSoVTRERERAqUCmcOxo4di81my3AJCgqyP24YBmPHjqVixYr4+PjQrl07du3aZWHigrdu3Tq6d+9OxYoVsdlsfPvttxkez80ySUxM5KmnniIwMBBfX1969OhBdHR0Ib6LgpXTMgoLC8v0uWrZsmWGeVx5GU2cOJFbb72VEiVKUK5cOe655x7++uuvDPMU5c9RbpZPUf8MffzxxzRq1Ah/f3/8/f0JDQ3lp59+sj9elD8/6XJaRkX9M3S1iRMnYrPZeOaZZ+zT9DnKPyqcuXDzzTcTExNjv+zYscP+2Ntvv83kyZP58MMP2bJlC0FBQXTq1In4+HgLExeshIQEGjduzIcffpjl47lZJs888wyLFy9m/vz5rF+/nvPnz3P33XeTmppaWG+jQOW0jAC6du2a4XO1dOnSDI+78jJau3YtTz75JL///jsrVqwgJSWFzp07k5CQYJ+nKH+OcrN8oGh/hipXrsybb77J1q1b2bp1Kx06dKBnz572MlCUPz/pclpGULQ/Q1fasmUL06ZNo1GjRhmm63OUjwy5pjFjxhiNGzfO8rG0tDQjKCjIePPNN+3TLl26ZAQEBBhTp04tpITWAozFixfb7+dmmZw9e9bw9PQ05s+fb5/nyJEjhpubm7Fs2bJCy15Yrl5GhmEYAwcONHr27JntzxS1ZXT8+HEDMNauXWsYhj5HV7t6+RiGPkNZKVWqlPHZZ5/p83MN6cvIMPQZShcfH2/Url3bWLFihdG2bVvj6aefNgxD30P5TSOcufD3339TsWJFatSoQd++ffn3338BOHDgALGxsXTu3Nk+r7e3N23btmXDhg1WxbVUbpbJtm3bSE5OzjBPxYoVadCgQZFabmvWrKFcuXLUqVOHIUOGcPz4cftjRW0ZnTt3DoDSpUsD+hxd7erlk06fIVNqairz588nISGB0NBQfX6ycPUySqfPEDz55JN069aNO+64I8N0fY7yl9OdaaiwtWjRgs8//5w6depw7NgxXn/9dVq1asWuXbvs528vX758hp8pX748hw4dsiKu5XKzTGJjY/Hy8qJUqVKZ5kn/eVd355130qtXL6pVq8aBAwd49dVX6dChA9u2bcPb27tILSPDMAgPD+e2226jQYMGgD5HV8pq+YA+QwA7duwgNDSUS5cu4efnx+LFiwkODrb/odfnJ/tlBPoMAcyfP58//viDLVu2ZHpM30P5S4UzB3feeaf9dsOGDQkNDeWmm25i9uzZ9o2rbTZbhp8xDCPTtKLmepZJUVpuffr0sd9u0KABISEhVKtWjR9//JH77rsv259zxWU0bNgwtm/fzvr16zM9ps9R9stHnyGoW7cukZGRnD17lm+++YaBAweydu1a++P6/GS/jIKDg4v8ZygqKoqnn36a5cuXU6xYsWzn0+cof2iVeh75+vrSsGFD/v77b/ve6lf/L+b48eOZ/kdUVORmmQQFBZGUlMSZM2eynaeoqVChAtWqVePvv/8Gis4yeuqpp1iyZAmrV6+mcuXK9un6HJmyWz5ZKYqfIS8vL2rVqkVISAgTJ06kcePGvPfee/r8XCG7ZZSVovYZ2rZtG8ePH6dZs2Z4eHjg4eHB2rVref/99/Hw8LC/R32O8ocKZx4lJiayZ88eKlSoQI0aNQgKCmLFihX2x5OSkli7di2tWrWyMKV1crNMmjVrhqenZ4Z5YmJi2LlzZ5FdbqdOnSIqKooKFSoArr+MDMNg2LBhLFq0iF9++YUaNWpkeLyof45yWj5ZKWqfoawYhkFiYmKR//xcS/oyykpR+wx17NiRHTt2EBkZab+EhITQv39/IiMjqVmzpj5H+amw91JyNiNHjjTWrFlj/Pvvv8bvv/9u3H333UaJEiWMgwcPGoZhGG+++aYREBBgLFq0yNixY4fxwAMPGBUqVDDi4uIsTl5w4uPjjYiICCMiIsIAjMmTJxsRERHGoUOHDMPI3TJ5/PHHjcqVKxsrV640/vjjD6NDhw5G48aNjZSUFKveVr661jKKj483Ro4caWzYsME4cOCAsXr1aiM0NNSoVKlSkVlGTzzxhBEQEGCsWbPGiImJsV8uXLhgn6cof45yWj76DBnGqFGjjHXr1hkHDhwwtm/fbrz00kuGm5ubsXz5csMwivbnJ921lpE+Q1m7ci91w9DnKD+pcOagT58+RoUKFQxPT0+jYsWKxn333Wfs2rXL/nhaWpoxZswYIygoyPD29jZuv/12Y8eOHRYmLnirV682gEyXgQMHGoaRu2Vy8eJFY9iwYUbp0qUNHx8f4+677zYOHz5swbspGNdaRhcuXDA6d+5slC1b1vD09DSqVq1qDBw4MNP7d+VllNWyAYyZM2fa5ynKn6Oclo8+Q4bxyCOPGNWqVTO8vLyMsmXLGh07drSXTcMo2p+fdNdaRvoMZe3qwqnPUf6xGYZhFN54qoiIiIgUNdqGU0REREQKlAqniIiIiBQoFU4RERERKVAqnCIiIiJSoFQ4RURERKRAqXCKiIiISIFS4RQRERGRAqXCKSIiIiIFSoVTRERERAqUCqeIiIiIFCgVThEREREpUCqcIiIiIlKgVDhFREREpECpcIqIiIhIgVLhFBEREZECpcIpIiIiIgVKhVNERERECpQKp4iIiIgUKBXOHEyZMoUaNWpQrFgxmjVrxq+//nrN+deuXUuzZs0oVqwYNWvWZOrUqYWUtHDkZXksWrSITp06UbZsWfz9/QkNDeXnn38uxLQFK6+fjXS//fYbHh4eNGnSpGADFrK8Lo/ExERefvllqlWrhre3NzfddBMzZswopLQFL6/LY+7cuTRu3JjixYtToUIFHn74YU6dOlVIaQvWunXr6N69OxUrVsRms/Htt9/m+DOu+l2a12Xh6t+j1/PZSOeq36WuSoXzGhYsWMAzzzzDyy+/TEREBG3atOHOO+/k8OHDWc5/4MAB7rrrLtq0aUNERAQvvfQSw4cP55tvvink5AUjr8tj3bp1dOrUiaVLl7Jt2zbat29P9+7diYiIKOTk+S+vyyLduXPneOihh+jYsWMhJS0c17M8evfuzapVq5g+fTp//fUX8+bNo169eoWYuuDkdXmsX7+ehx56iEGDBrFr1y4WLlzIli1bGDx4cCEnLxgJCQk0btyYDz/8MFfzu/J3aV6XhSt/j0Lel0c6V/0udWmGZKt58+bG448/nmFavXr1jBdffDHL+Z9//nmjXr16GaY99thjRsuWLQssY2HK6/LISnBwsDFu3Lj8jlborndZ9OnTx3jllVeMMWPGGI0bNy7AhIUrr8vjp59+MgICAoxTp04VRrxCl9fl8c477xg1a9bMMO399983KleuXGAZrQIYixcvvuY8rv5dmi43yyIrrvI9erW8LA9X/S51ZRrhzEZSUhLbtm2jc+fOGaZ37tyZDRs2ZPkzGzduzDR/ly5d2Lp1K8nJyQWWtTBcz/K4WlpaGvHx8ZQuXbogIhaa610WM2fO5J9//mHMmDEFHbFQXc/yWLJkCSEhIbz99ttUqlSJOnXq8Oyzz3Lx4sXCiFygrmd5tGrViujoaJYuXYphGBw7doyvv/6abt26FUZkh+PK36U3ylW+R2+Eq36XujoPqwM4qpMnT5Kamkr58uUzTC9fvjyxsbFZ/kxsbGyW86ekpHDy5EkqVKhQYHkL2vUsj6tNmjSJhIQEevfuXRARC831LIu///6bF198kV9//RUPD9f6Z3c9y+Pff/9l/fr1FCtWjMWLF3Py5EmGDh3K6dOnnX47zutZHq1atWLu3Ln06dOHS5cukZKSQo8ePfjggw8KI7LDceXv0hvlKt+j18uVv0tdnUY4c2Cz2TLcNwwj07Sc5s9qurPK6/JIN2/ePMaOHcuCBQsoV65cQcUrVLldFqmpqfTr149x48ZRp06dwopX6PLy2UhLS8NmszF37lyaN2/OXXfdxeTJk5k1a5ZLjHJC3pbH7t27GT58OKNHj2bbtm0sW7aMAwcO8PjjjxdGVIfk6t+l18MVv0fzoqh8l7oq/fcgG4GBgbi7u2cakTh+/Him/3mnCwoKynJ+Dw8PypQpU2BZC8P1LI90CxYsYNCgQSxcuJA77rijIGMWirwui/j4eLZu3UpERATDhg0DzMJlGAYeHh4sX76cDh06FEr2gnA9n40KFSpQqVIlAgIC7NPq16+PYRhER0dTu3btAs1ckK5neUycOJHWrVvz3HPPAdCoUSN8fX1p06YNr7/+epEb0XPl79Lr5Wrfo9fD1b9LXZ1GOLPh5eVFs2bNWLFiRYbpK1asoFWrVln+TGhoaKb5ly9fTkhICJ6engWWtTBcz/IA83/kYWFhfPnlly6zPVpel4W/vz87duwgMjLSfnn88cepW7cukZGRtGjRorCiF4jr+Wy0bt2ao0ePcv78efu0ffv24ebmRuXKlQs0b0G7nuVx4cIF3Nwyfh27u7sDl0f2ihJX/i69Hq74PXo9XP271OVZs6+Sc5g/f77h6elpTJ8+3di9e7fxzDPPGL6+vsbBgwcNwzCMF1980RgwYIB9/n///dcoXry4MWLECGP37t3G9OnTDU9PT+Prr7+26i3kq7wujy+//NLw8PAwPvroIyMmJsZ+OXv2rFVvId/kdVlczdX2rMzr8oiPjzcqV65s3H///cauXbuMtWvXGrVr1zYGDx5s1VvIV3ldHjNnzjQ8PDyMKVOmGP/884+xfv16IyQkxGjevLlVbyFfxcfHGxEREUZERIQBGJMnTzYiIiKMQ4cOGYZRtL5L87osXPl71DDyvjyu5mrfpa5MhTMHH330kVGtWjXDy8vLuOWWW4y1a9faHxs4cKDRtm3bDPOvWbPGaNq0qeHl5WVUr17d+Pjjjws5ccHKy/Jo27atAWS6DBw4sPCDF4C8fjau5IpfknldHnv27DHuuOMOw8fHx6hcubIRHh5uXLhwoZBTF5y8Lo/333/fCA4ONnx8fIwKFSoY/fv3N6Kjows5dcFYvXr1Nb8LitJ3aV6Xhat/j17PZ+NKrvhd6qpshlEE19eIiIiISKHRNpwiIiIiUqBUOEVERESkQKlwioiIiEiBUuEUERERkQKlwikiIiIiBUqFU0REREQKlArnDUhMTGTs2LEkJiZaHcUhaHlkpOWRkZbHZVoWGWl5ZKTlkZGWh2so8sfhnDJlCu+88w4xMTHcfPPN/Pe//6VNmza5+tm4uDgCAgI4d+4c/v7+BZzU8Wl5ZKTlkZGWx2VaFhlpeWSk5ZGRlodrKNIjnAsWLOCZZ57h5ZdfJiIigjZt2nDnnXdy+PBhq6OJiIiIuIwiXTgnT57MoEGDGDx4MPXr1+e///0vVapU4eOPP7Y6moiIiIjL8LA6gFWSkpLYtm0bL774YobpnTt3ZsOGDVn+TGJiYoZtSE6fPg1AVFQUAQEBBRfWScTHxwNw5MgR4uLiLE5jPS2PjLQ8LtOyyEjLIyMtj4wcZXmkpaVx7NgxmjZtiodHka1P163ILrGTJ0+SmppK+fLlM0wvX748sbGxWf7MxIkTGTduXKbpDRo0KJCMzio4ONjqCA5FyyMjLY/LtCwy0vLISMsjI0dZHps3b+bWW2+1OobTKbKFM53NZstw3zCMTNPSjRo1ivDwcPv9qKgoGjRowObNm6lQoUKB5hQRERHrxMTE0Lx580wDVZI7RbZwBgYG4u7unmk08/jx49l+mLy9vfH29rbfT1+NXqFCBSpXrlxwYUVERMQhuLkV6d1frluRXWpeXl40a9aMFStWZJi+YsUKWrVqZVEqEREREddTZEc4AcLDwxkwYAAhISGEhoYybdo0Dh8+zOOPP251NBERERGXUaQLZ58+fTh16hTjx48nJiaGBg0asHTpUqpVq2Z1NBERERGXUWRXqacbOnQoBw8eJDExkW3btnH77bdbHUlERIqoNWvWYLPZOHv2bKG9ZlhYGPfcc0+hvZ4UTUW+cIrrOn78OI899hhVq1bF29uboKAgunTpwsaNG+3z2Gw2vv3223x5vYMHD2Kz2YiMjLzmfNf6g9KkSRPGjh1rn+dal1mzZgHwzTff0K5dOwICAvDz86NRo0aMHz/efpzY3Fi0aBGdOnWibNmy+Pv7Exoays8//5xpvm+++Ybg4GC8vb0JDg5m8eLFGR6fOHEit956KyVKlKBcuXLcc889/PXXX/bHk5OTeeGFF2jYsCG+vr5UrFiRhx56iKNHj+aY8cyZMwwYMICAgAACAgIYMGBApmX49NNP06xZM7y9vWnSpEmu3//atWtp1qwZxYoVo2bNmkydOjXD47t27eL//u//qF69Ojabjf/+97+5et4dO3bQtm1bfHx8qFSpEuPHj+fKswmHhYVl+bu9+eabr/m806ZNo127dvj7+2f5WbrW52fLli3XfO6cfsdgnhK4Ro0aFCtWjGbNmvHrr79e8zlnzZqFzWajfv36mR776quvsNlsVK9ePcP8JUuWzPTzNpsNd3d3SpUqRYsWLRg/fjznzp3L8Hzpy/TNN9/MMP3bb7/NcASSrP4dGobBp59+SmhoKP7+/vj5+XHzzTfz9NNPs3//fvt8Y8eOzfLzdeV3wNixY3P8N3zw4MFrLjcRV6LCKS7r//7v//jzzz+ZPXs2+/btY8mSJbRr1y5PRSy3kpKS8vX5WrVqRUxMjP3Su3dvunbtmmFanz59ePnll+nTpw+33norP/30Ezt37mTSpEn8+eeffPHFF7l+vXXr1tGpUyeWLl3Ktm3baN++Pd27dyciIsI+z8aNG+nTpw8DBgzgzz//ZMCAAfTu3ZtNmzbZ51m7di1PPvkkv//+OytWrCAlJYXOnTuTkJAAwIULF/jjjz949dVX+eOPP1i0aBH79u2jR48eOWbs168fkZGRLFu2jGXLlhEZGcmAAQMyzGMYBo888gh9+vTJ9Xs/cOAAd911F23atCEiIoKXXnqJ4cOH880339jnuXDhAjVr1uTNN98kKCgoV88bFxdHp06dqFixIlu2bOGDDz7g3XffZfLkyfZ53nvvvQy/06ioKEqXLk2vXr2u+dwXLlyga9euvPTSS1k+fvXnJyYmhsGDB1O9enVCQkKyfd7c/I6v95TAvr6+HD9+PMN/+ABmzJhB1apVr/mzAP7+/sTExBAdHc2GDRt49NFH+fzzz2nSpEmm/7AUK1aMt956izNnzuT4vOkMw6Bfv34MHz6cu+66i+XLl7N9+3bef/99fHx8eP3113P9XADPPvtshuVfuXJl++Zb6ZcqVark6TlFnJoh1y0qKsoAjKioKKujyFXOnDljAMaaNWuynadatWoGYL9Uq1bNMAzD2L9/v9GjRw+jXLlyhq+vrxESEmKsWLEi08++9tprxsCBAw1/f3/joYceyvBcgNG2bdssX3f16tUGYJw5cybTY40bNzbGjBmTafrAgQONnj17Zpi2adMmAzD++9//ZrsMbkRwcLAxbtw4+/3evXsbXbt2zTBPly5djL59+2b7HMePHzcAY+3atdnOs3nzZgMwDh06lO08u3fvNgDj999/t0/buHGjARh79+7NNP+YMWOMxo0bZ/t8V3r++eeNevXqZZj22GOPGS1btsxy/mrVqhn/+c9/cnzeKVOmGAEBAcalS5fs0yZOnGhUrFjRSEtLy/JnFi9ebNhsNuPgwYO5yn6tz9KVkpKSjHLlyhnjx4+/5ny5+R03b97cePzxxzPMU69ePePFF1/M9nlnzpxpBAQEGMOGDTMGDx5snx4VFWV4e3sbL774ov3f35XzZ3c/3bFjx4zAwECjf//+9mkDBw407r77bqNevXrGc889Z5++ePFi48o/eVcvu3nz5hmA8d1332X5Hq78nWX3+Tpw4IABGBEREZkey+3nJqvf6ddff20EBwcbXl5eRrVq1Yx33303w89cunTJeO6554zKlSsbXl5eRq1atYzPPvvMMAzDSElJMR555BGjevXqRrFixYw6depk+s7I6vtFMtPf/BujEU5xSX5+fvj5+fHtt99mOB3pldJXLc6cOZOYmBj7/fPnz3PXXXexcuVKIiIi6NKlC927d880gvPOO+/QoEEDtm3bxquvvsrmzZsBWLlyJTExMSxatKgA3yHMnTsXPz8/hg4dmuXj6ask01fzrVmzJtfPnZaWRnx8PKVLl7ZP27hxI507d84wX5cuXbI9FSxgX9155fNkNY/NZsuwCvVqGzduJCAggBYtWtintWzZkoCAgGu+fm5k9762bt1KcnLyDT1v27ZtMxy7t0uXLhw9ejTbVanTp0/njjvuyLDjYvqq3xtZ/bpkyRJOnjxJWFhYhunVq1dn7NixGTJf63ecfkrgq+e51imBrzRo0CAWLFjAhQsXAHNVedeuXa/7QNrlypWjf//+LFmyhNTUVPt0d3d33njjDT744AOio6Nz9Vzz5s2jbt262Y62Z3dCkIK2bds2evfuTd++fdmxYwdjx47l1VdftW9SA/DQQw8xf/583n//ffbs2cPUqVPx8/MDzH/LlStX5quvvmL37t2MHj2al156ia+++sqS9yNFlwqnuCQPDw9mzZrF7NmzKVmyJK1bt+all15i+/bt9nnKli0LmMUsKCjIfr9x48Y89thjNGzYkNq1a/P6669Ts2ZNlixZkuE1OnTowLPPPkutWrWoVauW/efLlClDUFDQNUtWfvj777+pWbMmnp6e15zP09OTunXrUrx48Vw/96RJk0hISKB37972abGxsXk6FaxhGISHh3Pbbbdle/rXS5cu8eKLL9KvXz/8/f2zzRMbG0u5cuUyTS9Xrly2r59b2b2vlJQUTp48me/Pm/7Y1WJiYvjpp58YPHhwhunFixenbt26Of6er2X69Ol06dIl0yrcm266icDAwBwzp+e9nlMCX6lJkybcdNNNfP311xiGwaxZs3jkkUeu920BUK9ePeLj4zl16lSG6ffeey9NmjRhzJgxuXqeffv2Ubdu3QzTnnnmGft/Xq8+uceOHTvsj6Vfctr29npMnjyZjh078uqrr1KnTh3CwsIYNmwY77zzjj33V199xYwZM7j33nupWbMmHTt2tG9W4unpybhx47j11lupUaMG/fv3JywsTIVTCp0Kp7is//u//+Po0aMsWbKELl26sGbNGm655ZYMIwNZSUhI4Pnnnyc4OJiSJUvi5+fH3r17M41wXmtbuMJgXOM0rFeqVKkSe/fupXnz5rl63nnz5jF27FgWLFiQqeTl5VSww4YNY/v27cybNy/Lx5OTk+nbty9paWlMmTLFPv3xxx/P8Ec8u9fO6fWzcuXzXnm83azeV3avmRd5ed70HWWu3lu4efPm7N27l0qVKl1XhujoaH7++WcGDRqU6bFVq1YxbNiwHDNfPS0vn4OrPfLII8ycOZO1a9fa1ybciGst07feeovZs2eze/fuXD3X1c/x8ssvExkZyejRozl//nyGx+rWrUtkZGSGy9KlS6/zXWRvz549tG7dOsO01q1b8/fff5OamkpkZCTu7u60bds22+eYOnUqISEhlC1bFj8/Pz799NMct7kVyW9F+jic4vqKFStGp06d6NSpE6NHj2bw4MGMGTMm06rFKz333HP8/PPPvPvuu9SqVQsfHx/uv//+TDsG+fr6Xlem9JG8c+fOZVqNfPbsWfspU3NSp04d1q9fT3Jy8g2Nfl1pwYIFDBo0iIULF3LHHXdkeCwoKCjXp4J96qmnWLJkCevWrcvytK/Jycn07t2bAwcO8Msvv2QY3Rw/fjzPPvtsptc+duxYpuc5ceJEnlbHXnkEgfTXzO59eXh4UKZMmVw/99Wye14gU2bDMJgxYwYDBgzAy8vrul8zKzNnzqRMmTK52jErp9/x9ZwS+Gr9+/fn+eefZ+zYsTz00EN4eNzYn6E9e/bg7++f5e/q9ttvp0uXLrz00kvX/DcPULt2bfbu3ZthWtmyZSlbtmyWo+teXl7UqlUrw7QbfS9ZyarMG1cc6cDHx+eaP//VV18xYsQIJk2aRGhoKCVKlOCdd97JsCOYSGHQCKcUKcHBwfY9psFc3XTltl8Av/76K2FhYdx77700bNiQoKCgXG0/l14Urn6+q9WuXRs3N7dMh6eJiYnhyJEjmVbrZadfv36cP38+w+jglfJ6HL958+YRFhbGl19+Sbdu3TI9HhoamulUsMuXL89wKljDMBg2bBiLFi3il19+oUaNGpmeJ71s/v3336xcuTJTUShXrpx9M4X0P+ihoaGcO3fOvp0swKZNmzh37lyeTkV75fOml4js3ldISMgNFfnQ0FDWrVuX4T8qy5cvp2LFihkOAQTm3v379+/PchTyRhiGwcyZM3nooYdy9V5y+h3nxymBS5cuTY8ePVi7du0Nr04/fvw4X375Jffcc0+257d+8803+f7773PcxvSBBx7gr7/+4rvvvruhTPktODiY9evXZ5i2YcMG6tSpg7u7Ow0bNiQtLY21a9dm+fO//vorrVq1YujQoTRt2pRatWrxzz//FEZ0kQxUOMUlnTp1ig4dOjBnzhy2b9/OgQMHWLhwIW+//TY9e/a0z1e9enVWrVpFbGys/RAqtWrVYtGiRURGRvLnn3/Sr18/0tLScnzNcuXK4ePjw7Jlyzh27Fim4wOmK1GiBI899hgjR47k22+/5cCBA/z222888MAD1K9fP9MOGdlp0aIFzz//PCNHjuT5559n48aNHDp0iFWrVtGrVy9mz54NwJEjR6hXr16Gsna1efPm8dBDDzFp0iRatmxJbGwssbGxGd7D008/zfLly3nrrbfYu3cvb731FitXruSZZ56xz/Pkk08yZ84cvvzyS0qUKGF/nosXLwKQkpLC/fffz9atW5k7dy6pqan2ea51aKn69evTtWtXhgwZwu+//87vv//OkCFDuPvuuzMU9P379xMZGWl/zfRVndd67scff5xDhw4RHh7Onj17mDFjBtOnT88wypqUlJThuY4cOUJkZGSGYzNerV+/fnh7exMWFsbOnTtZvHgxb7zxBuHh4ZlGrKZPn06LFi2y3NZ18+bN1KtXjyNHjtinxcbGZnj9HTt2EBkZmemQX7/88gsHDhzItsh27NiRDz/80H4/N7/j8PBwPvvsM2bMmMGePXsYMWJEnk8JPGvWLE6ePEm9evVy/TOGYRAbG0tMTIz999SqVSsCAgIyHXPzSg0bNqR///588MEH13z+vn37cv/999O3b1/Gjx/Ppk2bOHjwIGvXrmXBggW4u7vnOmt+GjlyJKtWreK1115j3759zJ49mw8//ND++axevToDBw7kkUcesX+frFmzxr6NZq1atdi6dSs///wz+/bt49VXX83xWKwiBaLwd4x3HTpEguO6dOmS8eKLLxq33HKLERAQYBQvXtyoW7eu8corrxgXLlywz7dkyRKjVq1ahoeHh/2wLAcOHDDat29v+Pj4GFWqVDE+/PBDo23btsbTTz9t/7nsDnHy6aefGlWqVDHc3NyyPSxSer7x48cb9evXN3x8fIxq1aoZYWFhRkxMTJbzX+uwJQsWLDBuv/12o0SJEoavr6/RqFEjY/z48fbDqqQfqmX16tXZ5mnbtm2mwzoBxsCBAzPMt3DhQqNu3bqGp6enUa9ePeObb77J8HhWzwEYM2fOzJAlq8u18hmGYZw6dcro37+/UaJECaNEiRJG//79Mx0OKLv3ceDAgWs+95o1a4ymTZsaXl5eRvXq1Y2PP/44w+PZ5b7W79gwDGP79u1GmzZtDG9vbyMoKMgYO3ZspkMinT171vDx8TGmTZuW5XOkHybnyvcwZsyYay7ndA888IDRqlWrbPNVq1Yt02G4cvodG4ZhfPTRR0a1atUMLy8v45ZbbrnmYa8MI/vDGqX7z3/+k+NhkdLfo81mMwICAozmzZsb48ePN86dO5fhubL6t3Lw4EHD29v7modFMgzDSE1NNaZOnWq0aNHC8PX1Nby8vIyaNWsaQ4YMMXbv3m2fz6rDInl6ehpVq1Y13nnnnQw/c/HiRWPEiBFGhQoV7IdFmjFjhmEY5ndNWFiYERAQYJQsWdJ44oknjBdffDFDfh0WKXf0N//G2Azjio1BJE+io6OpUqUKUVFRWW6nJiIiIq5Bf/NvjFapi4gAyanJ6P/fIiIFQ4VTRIq8Xw78QqOpjVi4e6HVURxSYiK0awcdOsAV+9yJiOSaCqeIFHm/HvqVvSf3Ev5zOOeTzuf8A0VMSgqsXQurV4MGgUXkeqhwikiR93zr56lRsgZH4o8wYd0Eq+M4nCsP0mDRztoi4uRUOEWkyPPx9OG/Xf8LwKSNk/jr5F/WBnIwVxbObA53KSJyTfrqEBEButfpzl217yI5LZnhy4ZrB6IraIRTRG6UCqeICOZ5tN/r+h5e7l4s/2c583fOtzqSw7jy5Fka4RSR66GvDhGR/6lVuhbPt3oegIHfDuSb3d9YnMgxqHCKyI3SV4eIyBVGtx1N75t7k5yWTO+ve/PFn19YHclyycnm9Q2cWl5EijgVThGRK3i6e/LlfV/ycJOHSTPSeOjbh5i6darVsSylwikiN0qFU0TkKu5u7nzc7WOCywYDMPyn4cQnxlucyjpJSea1CqeIXC8VThGRq2w/tp2W01uy+8RuAB5s9CB+Xn4Wp7LOmTPmdcmSlsYQESfmYXUAERFHkZKWwtu/vc3YNWNJTkumjE8ZpnSbQu+be1sdzVKnTpnXZcpYm0NEnJcKp4gIsOfEHsK+C2Pzkc0A9Kjbg0/u/oQgvyCLk1nv9GnzWoVTRK6XCqeIFGlnL53l022f8urqV0lMTSTAO4D373yfAY0GYLPZrI7nEDTCKSI3SoVTRIqcf8/8y/d/fc+SfUtYd2gdKWkpAHS5qQuf9fiMyv6VLU7oWNJHOEuXtjaHiDgvFU4RcXlpRhpbjmxhyV9LWLJvCTuP78zweHDZYEa0HMGgpoM0qpmFFLOP4+VlbQ4RcV4qnCLiki4kX2DVv6tY8tcSvt/3PccSjtkfc7e5c3u12+lRtwfd63TnptI3WZhURMT1qXCKiMs4dv4YP+z7gSX7lrDinxVcTLlof8zf2587a91Jj7o9uLPWnZTyKWVhUudiGFYnEBFnp8IpIk7t1IVTTNs2jSX7lrApehMGl9tR1YCq9Kzbkx51e3B7tdvxctc64RuhrQ1E5Hq53IHfDx48yKBBg6hRowY+Pj7cdNNNjBkzhqT0U2X8j81my3SZOrVon75OxBk9+sOjvPTLS/we/bu9bAb5BfHRXR+x58k9vH/n+9xR8w6VzRugEU4RuVEuN8K5d+9e0tLS+OSTT6hVqxY7d+5kyJAhJCQk8O6772aYd+bMmXTt2tV+PyAgoLDjisgNerDhg/x18i92n9htL5yx52N5cumTDP9pOI3KN6JFpRa0qNyC5pWaUy+wHm42l/u/doG6+L8tE4oVszaHiDgvlyucXbt2zVAia9asyV9//cXHH3+cqXCWLFmSoCAd1FnEmd1b/17urX8vcYlxbD26lU3Rm9h0xLzEno8lIjaCiNgIpm4z12D4e/tza8Vb7SW0RaUWlPcrb/G7cGwJCea1r6+1OUTEeblc4czKuXPnKJ3FAeSGDRvG4MGDqVGjBoMGDeLRRx/FzS37kY/ExEQSExPt9+Pj4wskr4jknb+3Px1qdKBDjQ4AGIZBVFwUm49stpfQrUe3EpcYx6oDq1h1YJX9Z7vW6srse2ZTzrecVfEd2oUL5rUKp4hcL5cvnP/88w8ffPABkyZNyjD9tddeo2PHjvj4+LBq1SpGjhzJyZMneeWVV7J9rokTJzJu3LiCjiwi+cBms1E1oCpVA6pyf/D9gHmu9J3Hd2YYBd1zYg/L9i+j6SdNWXD/Am6repvFyR2PVqmLyI2yGYZzbA4+duzYHMveli1bCAkJsd8/evQobdu2pW3btnz22WfX/NlJkyYxfvx4zp07l+08V49wHjlyhODgYKKioqhcWWcmEXFGu0/s5v6v7mfPyT2429x5u9PbjGg5QgeAv0K3brB0KcyYAQ8/bHUaEWtER0dTpUoV/c2/Tk4zwjls2DD69u17zXmqV69uv3306FHat29PaGgo06ZNy/H5W7ZsSVxcHMeOHaN8+ay35/L29sbb29t+Py4uLnfhRcRhBZcNZvOQzTz6/aPM2zmPkctHsjF6I1/e9yWe7p5Wx3MI6Qf5uOLrT0QkT5ymcAYGBhIYGJireY8cOUL79u1p1qwZM2fOvOZ2mekiIiIoVqwYJUuWvMGkIuJs/Lz8mHvfXG6rehvPLHuGr3d/TYfqHXji1iesjuYQUlPN61x8lYqIZMlpCmduHT16lHbt2lG1alXeffddTpw4YX8sfY/077//ntjYWEJDQ/Hx8WH16tW8/PLLPProoxlGMEWk6LDZbAy9dShpRhpP/fQUr//6OmFNwvDx9LE6muV8/rcILl689nwiItlxucK5fPly9u/fz/79+zNtY5G+uaqnpydTpkwhPDyctLQ0atasyfjx43nyySetiCwiDmTILUN4+7e3iYqL4pNtn/BMy2esjmS59L3Tz5+3NoeIOC+XW0ESFhaGYRhZXtJ17dqViIgI4uPjSUhIYMeOHTz99NN4eLhc/xaRPPL28ObV218FYOL6iSQkJVicyHrphTNBi0JErpPLFU4RkRsV1iSMmqVqcjzhOB9u/tDqOJZT4RSRG6XCKSJyFU93T8a0HQOYo5wnEk7k8BOuLX3T9iuOCicikicqnCIiWejfsD9Ng5pyLvEcr/yS/QkhioL0k6qVKGFtDhFxXiqcIiJZcHdz572u7wHw6R+fEhETYXEi66QfcjggwNocIuK8VDhFRLLRplob+tzcBwOD9za9Z3Ucy6QXTo1wisj1UuEUEbmG4p7FAfD39rc4iXWSk81rLy9rc4iI81LhFBHJRkpaCkv+WgLAvfXutTiNiIjzUuEUEcnGhqgNnLp4ilLFStGmWhur41gm/TDGNpu1OUTEealwiohk49u93wLQvW53PNyK7okhVDhF5EapcIqIZGPZ/mUA9Kzb0+Ik1lLhFJEbpcIpIpINA7NplSpWyuIk1kpLM6/d9BdDRK6Tvj5ERLJRwa8CADHnYyxOYq3UVPPa3d3aHCLivFQ4RUSyUaHE/wpnvAonqHCKyPVT4RQRyYZGOE0qnCJyo1Q4RUSykJyazN+n/wbgeMJxi9NYS4VTRG5U0T3Oh4hINs5eOsv9X93PqgOrcLO5cXedu62OZKnz581rPz9rc4iI81LhFBG5woEzB+j2ZTf2nNyDr6cvC+5fQLc63ayOZamzZ83rkiWtTCEizkyFU0TkfyJjI+kypwvHE45TqUQlfuj3A02Cmlgdy1KGAWfOmLdVOEXkeqlwiogA245uo9MXnThz6QxNgprwwwM/UMm/ktWxHEJSknldrJi1OUTEealwikiRtyl6E13mdOFc4jlCK4fyU/+fCCgWYHUsh2CzmQd8T0u7vPOQiEheaS91ESnSthzZQqcvOnEu8Ry3Vb2Nnx/8WWXzKp6e5nVKirU5RMR5qXCKSJH20ZaPiE+Kx8fDh697fU0J7xJWR3I4Hv9bF5acbG0OEXFeKpwiUqQNbzEcf29/LqZcpM/XfUhISrA6ksNJL5wa4RSR66XCKSJF2i0VbmH5g8vx9/Zn7aG13D3vbpVOEZF8psIpIkVei8ot+PnBnynhVYI1B9eodF7lwgXzunhxa3OIiPNS4RQRAVpWbsnyAcvtpbP7vO5cSL5gdSzLpaRc3nZThVNErpcKp4jI/7Ss3NI+0rn64Gru/vLuIl864+Iu3/b1tS6HiDg3FU4RkSuEVgll2YPL8PPyY/XB1UV+pPPff83roCDw9rY2i4g4LxVOEZGrtKrSip8f/Bk/Lz9+OfALPeb1KLKlc/9+87pWLWtziIhzU+EUEcnClaVz1YFVvLzqZasjWeKff8zrm26yNoeIODeXLJzVq1fHZrNluLz44osZ5jl8+DDdu3fH19eXwMBAhg8fTlL6CYNFRDBL5z317gHA3c3d2jAWSUw0r/38rM0hIs7NZc+lPn78eIYMGWK/73fFt2VqairdunWjbNmyrF+/nlOnTjFw4EAMw+CDDz6wIq6IOKA0I40V/6wA4K7ad1mcxhrFipnXly5Zm0NEnJvLFs4SJUoQFBSU5WPLly9n9+7dREVFUbFiRQAmTZpEWFgYEyZMwN/fvzCjioiD+iPmD44lHKOEVwluq3qb1XEskb6jUPpIp4jI9XDJVeoAb731FmXKlKFJkyZMmDAhw+ryjRs30qBBA3vZBOjSpQuJiYls27bNirgi4oCW/r0UgE43dcLL3cviNNbQCKeI5AeXHOF8+umnueWWWyhVqhSbN29m1KhRHDhwgM8++wyA2NhYypcvn+FnSpUqhZeXF7Gxsdk+b2JiIolX/Dc/Pj6+YN6AiDiElf+uBCA4MNjiJNZJP4+6RjhF5EY4zQjn2LFjM+0IdPVl69atAIwYMYK2bdvSqFEjBg8ezNSpU5k+fTqnTp2yP5/NZsv0GoZhZDk93cSJEwkICLBfgoOL7h8hkaKgaVBTACaun8hXu76yOI011q83r3VYJBG5EU4zwjls2DD69u17zXmqV6+e5fSWLVsCsH//fsqUKUNQUBCbNm3KMM+ZM2dITk7ONPJ5pVGjRhEeHm6/f+TIEZVOERc2uctkziae5fM/P+eBbx4gJS2Ffg37WR2r0CQmwpIl5u3777c2i4g4N6cpnIGBgQQGBl7Xz0ZERABQoUIFAEJDQ5kwYQIxMTH2acuXL8fb25tmzZpl+zze3t54X3Gqjbgrz/kmIk4tKTWJEwknOJZwjGPnj9mvSxUrRTGPYlxKucSAxQMoVawUd9a+0+q4BSopCdatg7lzzVNbVqwI//t/u4jIdXGawplbGzdu5Pfff6d9+/YEBASwZcsWRowYQY8ePahatSoAnTt3Jjg4mAEDBvDOO+9w+vRpnn32WYYMGaI91EVcyMXki5kK5LGEYxxPOJ5p+plLZ3J8vjQjjY3RG12ycB49CkuXmpcVK+D8+cuP9e8Pbk6zAZaIOCKXK5ze3t4sWLCAcePGkZiYSLVq1RgyZAjPP/+8fR53d3d+/PFHhg4dSuvWrfHx8aFfv368++67FiYXkZwYhkF8UnzWBTJ92hXTzyedz/lJr+Buc6ecbznK+5WnvG9587Zvefv9yv6Vub3a7QX07gpXaips3mwWzB9/hP+tCLIrXx7uugu6dYMePazJKCKuw+UK5y233MLvv/+e43xVq1blhx9+KIREInItaUYaZy6eyTTiaB+FvKpYXkrJ2/F5vN29Ke93RXm8okBmmO5XntI+pXGzue5Q3unTsHy5WTCXLYOTJy8/ZrPBrbeaBfOuu+CWWzSqKSL5x+UKp4hYLyUthZMXTuZYII+dP8aJCydISUvJ0/P7evpmKI3pRfLK0cn0a39v/2sefcKVGQbs2HF5FHPDBkhLu/x4QAB06WIWzDvvhHLlrMsqIq5NhVNE7JJSkzifdJ74xHjik+Iz3I5P/N/9q29fcf/spbMcTzjOyQsnMTDy9Noli5XMUBSvXp195XRfL98CWgLO7fx5c9X41q2wZYt5SKOoqIzzBAebo5jdukGrVuDpaU1WESlaVDhFnJRhGCSmJmZbELMti9d4LCk1KecXziUbNgKLB+aqQJbzLYe3h3fOTyp2ly7Bn39eLpdbt8KePRlHMME8U1CHDpdXlWdz9DgRkQKlwilSSAzD4FLKJXvJu1ZBzFAIr/FYXldF55a3uzd+Xn6U8C5BCa8SGW6X8C6Bn2fWj/l7+9tXawcWD8TDTV8x+SE5GXbuNEtlesHcsQNSsvj1V6xobosZEgLNm8Ntt0Hx4oWfWUTkSvprIJINwzC4kHwhy9XJOZbFLOY7n3SeVCO1QLL6ePhkWxD9vPzsRTHLx6667eflV2TPG+4IUlNh796M5TIyMutTSwYGXi6Xt94KzZqZhVNExNGocIrLSDPSSEhKuPb2htkVx2zmy+t2iLlV3LP4tUtg+khiLsqin5efRhKdlGHA/v0Zy+Uff0BCQuZ5AwLMYpleLkNCoGpVc+9yERFHp79S4jTSjDR2Hd/Fr4d/5dfDv7Lv1L4M2yEmJGfxVzqf5FgC81AQfT19cXdzL7Cs4pgMw9yBJ317yy1bYNs2OHs287y+vuZhia4smDfdpMMUiYjzUuEUh5WUmsS2o9vsBfO3w7/l6mwwbja36yqI2ZXF4p7FXfrYjFIwYmMz7tCzdSscP555Pm9vaNIkY7msVw/c9X8SEXEhKpziMM4nnWdj1EZ7wdwUvYmLKRczzOPr6UtolVDaVG1D06CmlCxWMlNZ9PHwKbLHXRRrnD6dcbX41q0QHZ15Pnd3aNjw8irxkBBo0AC8tMmsiLg4FU6xzImEE6w/vN5eMCNiIjLtVFPGpwxtqrWhTVXz0iSoCZ7uOnCgWCc+3tzO8spV4//+m3k+mw3q18+4zWXjxuDjU/iZRUSspsIphcIwDA6dO8Svh361F8y9J/dmmq9qQFXaVG3D7dVup03VNtQLrKfRSrHMxYvmHuJXjlzu3Wtuj3m1WrUyrhZv2hRKlCj0yCIiDkmFU27Y1acxPJ5w/PKpC/93+sJdJ3YRHZd5HePNZW82Ry+rteG2qrdRNaCqBe9AxJSQAGvXmucbX7PGPPZlahZHsqpSJfPhiEqVKvS4IiJOQ4VTspSYknj53NfXKJJ5OY2hh5sHzSo0sxfM1lVaU6Z4mUJ4NyJZS0szV4+vWGGWzN9+Mw+yfqVy5cxSeeV2l+XLW5NXRMRZqXAWIeeTzttL4pVF8tj5Yxy/cDzD/XOJ5/L03FefxrC8X3nKFS9nv1+9ZHWaV2quc2CL5Q4fvlwwV62CU6cyPl69OnTuDHfcAS1bQuXKOtaliMiNUuF0IReSL/Dlji85dPaQfRTyylHJC8kX8vR8nm6e9vNc24tkepm86rzYZYqX0cHHxSEZhrl6fPFis2T+9VfGx/39zXONd+pkFs2bblLBFBHJb2oILuTdDe8yZs2Ya87j4+GT7Sjk1UWyVLFS2mFHnFZiIsybB//5D2zffnm6mxu0aGGWy06dzPONe+rAByIiBUqF04Us+WsJAN3rdKdZhWYZimR5X7NM+nn5qUSKSztxAqZOhY8+gmPHzGnFi8MDD0C3btC+PZQsaWlEEZEiR4XTRRxPOM62mG0ATOs+jSC/IIsTiRSu3bvhv/+FL76AS5fMaZUqwVNPwZAhULq0pfFERIo0FU4Xsfyf5QA0DWqqsilFhmHAypUweTIsW3Z5ekgIjBgBvXppdbmIiCNQ4XQRP+3/CYCutbpanESk4F28CF9+aY5o7txpTrPZ4J57IDwcWrfWjj8iIo5EhdNF/HLgF0CFU1xbVBR8/DFMm3b5cEZ+fvDIIzB8uLmHuYiIOB4VThdwPuk8sedjAWhcvrHFaUTyl2GYB2R//31YtOjymX+qVjW3zxw8WDsBiYg4OhVOF3DgzAEAShUrRUCxAIvTiOSPS5dgwQKzaP7xx+Xp7dqZo5ndu4OHvsFERJyCvq5dwIGzZuGsUaqGxUlE8sfFi+bxMdO3zyxWDB580BzRbNTI2mwiIpJ3Kpwu4ODZgwDUKKnCKa5h5kyzbJYuDc8/b642L1PG6lQiInK9VDhdQPoqdRVOcQUpKfDOO+bt8ePhySetzSMiIjfOzeoAcuMOnjsIQPWS1S3NIZIfFiyAgwehbFl4+GGr04iISH5Q4XQB6avUVTjF2RkGvPmmefuZZ8xTUoqIiPNT4XRyhmHYV6mrcIqzmzbN3HazRAkYOtTqNCIikl9UOJ3cn8f+5FziOXw8fLiptI56Lc5ryhR4/HHz9rPP6tiaIiKuRIXTyX239zsAOt/UmWIexSxOI3J93nnn8s5BTz8Nr75qbR4REclfLlc416xZg81my/KyZcsW+3xZPT516lQLk1+fJfuWANCzbk+Lk4jknWHA2LHmoY8AXn4Z/vMfnQddRMTVuNxhkVq1akVMTEyGaa+++iorV64kJCQkw/SZM2fStevlc48HBDjXWXqi46L5I+YPbNjoVqeb1XFE8sQwzKL57rvm/TfegFGjrM0kIiIFw+UKp5eXF0FBQfb7ycnJLFmyhGHDhmG7atikZMmSGeZ1Nl/t+gqA0CqhlPMtZ3Eakdw7cQKGDYOvzI8w771nnq5SRERck8utUr/akiVLOHnyJGFhYZkeGzZsGIGBgdx6661MnTqVtLS0wg94naLjohm3dhwA/Rv2tziNSO4YBsyfD8HBZtl0d4dPP1XZFBFxdS43wnm16dOn06VLF6pUqZJh+muvvUbHjh3x8fFh1apVjBw5kpMnT/LKK69k+1yJiYkkJiba78fHxxdY7msxDIPHfniMuMQ4WlRqwWPNHrMkh0hexMTAE0/Ad+Z+bjRqBDNmQLNm1uYSEZGC5zQjnGPHjs12Z6D0y9atWzP8THR0ND///DODBg3K9HyvvPIKoaGhNGnShJEjRzJ+/HjeST+fXjYmTpxIQECA/RIcHJyv7zG35myfw9K/l+Lt7s3MnjNxd3O3JIdIbiQkwPvvm6Oa330Hnp4wbhxs2aKyKSJSVDjNCOewYcPo27fvNeepXr16hvszZ86kTJky9OjRI8fnb9myJXFxcRw7dozy5ctnOc+oUaMIDw+33z9y5IglpXPx3sUADGg0gPpl6xf664vkxsmT8OGH5uXUKXNaSIg5qtmwobXZRESkcDlN4QwMDCQwMDDX8xuGwcyZM3nooYfw9PTMcf6IiAiKFStGyWscbdrb2xtvb2/7/bi4uFznyU896/Zk8d7FrDywktS0VI1wikM5cAAmT4bp0+HiRXNazZrw3HMweDB4OM23joiI5BeX/er/5ZdfOHDgQJar07///ntiY2MJDQ3Fx8eH1atX8/LLL/Poo49mKJSOqvfNvXnm52c4ePYgy/9Zzp2177Q6kgiRkfD22+bOQKmp5rRbboEXXoD/+z9zByERESmanGYbzryaPn06rVq1on79zKucPT09mTJlCqGhoTRq1Ij33nuP8ePHM2nSJAuS5p2Ppw9hjcMA+GTbJ9aGkSLNMGDVKujSBZo2hXnzzLLZuTOsXAlbt0Lv3iqbIiJFnc0wDMPqEM4qOjqaKlWqEBUVReXKlQv1tXce30nDjxviZnPj0DOHqOxfuK8vRVt8PHz9NXz0EWzbZk5zc4M+fcyDuTdpYmk8EZF8Z+XffFfgsqvUXVVyajJzts9hwq8TAEgz0th1fJcKpxS4tDRYuxZmzTLL5oUL5nQfHxg0CMLDoUYNSyOKiIiDUuF0EkmpScyOnM0b69/g4NmDAAQWD+S5Vs/R6aZO1oYTl/bvvzB7tnk5dOjy9Dp1ICwMhgyBPOzPJyIiRZAKp4O7lHKJGREzeHP9m0TFRQFQzrccz7V6jsdDHsfPy8/ihOKK0leZz5oF69Zdnh4QAH37mkWzRQu46myxIiIiWVLhdFAXky/y6R+f8tZvb3E0/igAFfwq8Hzr53m02aMU9yxucUJxNdmtMrfZoFMns2Tec4+5Cl1ERCQvVDgd0KI9ixj641COJRwDoLJ/ZV5s/SKDbhlEMY9iFqcTVxIbCxs3woYNsHBh1qvMBwwAbR8vIiI3QoXTAY1bO45jCccoVawUEztOJKxJGN4ejn98UHFsKSmwfbtZLjduNC8HDmScx9//8irzli21ylxERPKHCqcDGt58OIO/H0x8UjxNKzRV2ZTrcvLk5WK5YYN57vL01eTpbDa4+WZo1Qrat4eePbXKXERE8p8KpwN6pOkj/PzPzyzcvZB+3/Qj4rEISniXsDqWOLjYWPj228sFc//+zPMEBJgjl6GhZsls3tycJiIiUpBUOB2QzWZjWvdpbDqyiX/O/MOkjZMY226s1bHEgR06BCEh5qjmlerXN8tlesGsV888QLuIiEhhUuF0UCWLleTF1i8ydOlQNh/ZbHUccWAXL8J995lls3ZtcxvM0FDzsEWlS1udTkRERIXToTUs3xCAXSd2WZxEHJVhwNCh8Mcf5sHXV66EqlWtTiUiIpKRVq45sOCywQAcPneY+MR4i9OII/rkE/O4mW5uMH++yqaIiDgmFU4HVtqnNEF+QQDsObnH4jTiaDZuhOHDzdtvvgkdO1qbR0REJDsqnA4ufZRz13GtVpfLvvwS7rwTkpPh/vvh2WetTiQiIpI9FU4HVz+wPgB7T+61OIk4grNnoV8/6N8fzp2D1q1hxgwdoF1ERBybCqeDqxdYD4C/Tv1lcRKx2po10KgRzJsH7u4wfrw5rYQO0SoiIg5Oe6k7uLpl6gIqnEXdhx+a22saBtSqBXPmmIc9EhERcQYa4XRwR+OPAuDhpv8bFFUbNsAzz5hlc9AgiIhQ2RQREeeiFuPgZv85G4A+N/exOIlY4fRpeOABSE01rz/9VNtrioiI89EIpwM7dPYQqw+uxoaNhxo/ZHUcKWSGAQ8/DIcPm6vRp05V2RQREeekwunAvtj+BQDta7SnaoCO6F3UvP8+LFkCXl6wYAH4+1udSERE5PqocDoowzD4/M/PARjYeKDFaaSwbdgAzz1n3p40CW65xdo8IiIiN0KF00EdPHuQv0//jaebJ/fVv8/qOFKItm+Hbt3Mg7rfdx88+aTViURERG6MCqeD2nRkEwBNgprg5+VncRopLPv3Q+fO5gHeW7eGL77QdpsiIuL8VDgd1O/RvwPQopKOf1NUHDkCnTrBsWPQuDH88AMUL251KhERkRunwumg0kc4W1ZuaXESKQynTpkjmwcPmnuk//wzlCxpdSoREZH8ocLpgJJSk4iIiQCgRWWNcLq6lBRzm83du6FSJVi5EsqXtzqViIhI/lHhdEA2bLi7uQOwMWqjxWmkoM2bB5s2mSOaK1ZAtWpWJxIREclfKpwOyNPdk1favALAyOUjOXPxjMWJpKCkpMDrr5u3X3gB6te3No+IiEhBUOF0UCNbjaR+YH1OXDjBqFWjrI4jBWT+fNi3D8qU0eGPRETEdalwOigvdy8+7vYxANO2TWNT9CaLE0l+S029PLo5ciSUKGFtHhERkYLilIVzwoQJtGrViuLFi1Mym115Dx8+TPfu3fH19SUwMJDhw4eTlJSUYZ4dO3bQtm1bfHx8qFSpEuPHj8cwjEJ4B7nTtnpbBjYeiIHBk0s1/OVK4uLg+efhr7+gdGkYNszqRCIiIgXHKQtnUlISvXr14oknnsjy8dTUVLp160ZCQgLr169n/vz5fPPNN4wcOdI+T1xcHJ06daJixYps2bKFDz74gHfffZfJkycX1tvIlVdvfxWAbTHbSE5NtjiN3KiEBHj7bahRA9I/ai+9pNFNERFxbR5WB7ge48aNA2DWrFlZPr58+XJ2795NVFQUFStWBGDSpEmEhYUxYcIE/P39mTt3LpcuXWLWrFl4e3vToEED9u3bx+TJkwkPD8fmIKd3OZd4DoDyvuXxdPe0OI1cr0uXYNo0eOMN88DuAHXrwrhx0Lu3tdlEREQKmlOOcOZk48aNNGjQwF42Abp06UJiYiLbtm2zz9O2bVu8vb0zzHP06FEOHjxY2JGzdejsIQCqldSxcpzRxYvw8cdQuzY8/bRZNmvUgNmzYedO6NNHp64UERHX55QjnDmJjY2l/FVHzi5VqhReXl7Exsba56levXqGedJ/JjY2lho1amR63sTERBITE+334+Pj8zl5Zn8e+xOAGiUz5xHHdeoUTJkCH3wAJ06Y0ypXhldfhYcfBk8NVouISBHiMCOcY8eOxWazXfOydevWXD9fVqvEDcPIMP3qedJ3GMpudfrEiRMJCAiwX4KDg3Od53oYhsHcHXMB6Fa7W4G+luSPAwfgqaegalUYPdosm9Wqwfvvw99/w6OPqmyKiEjR4zAjnMOGDaNv377XnOfqEcnsBAUFsWlTxsMInTlzhuTkZPsoZlBQkH20M93x48cBMo2Ophs1ahTh4eH2+0eOHCnQ0vl79O/sP70fX09f7q1/b4G9jty4bdvgnXdg4UJISzOnNW0Kzz0HvXqBh8P8SxMRESl8DvNnMDAwkMDAwHx5rtDQUCZMmEBMTAwVKlQAzB2JvL29adasmX2el156iaSkJLy8vOzzVKxYMdti6+3tnWGbz7i4uHzJm53P//wcgPvq34efl1+BvpbknWHAsmVm0Vy9+vL0zp3Notmxo7bPFBERAQdapZ4Xhw8fJjIyksOHD5OamkpkZCSRkZGcP38egM6dOxMcHMyAAQOIiIhg1apVPPvsswwZMgR/f38A+vXrh7e3N2FhYezcuZPFixfzxhtvOMwe6okpiczfNR+Ahxo/ZHEaudrixdC4Mdx1l1k2PTzgwQchMhJ+/hnuuENlU0REJJ3DjHDmxejRo5k9e7b9ftOmTQFYvXo17dq1w93dnR9//JGhQ4fSunVrfHx86NevH++++679ZwICAlixYgVPPvkkISEhlCpVivDw8AyrzK20/dh2zl46C8D5pPPWhpEMPv8cBg40b/v5mdtlPvMMVKliaSwRERGHZTMc6dQ6TiY6OpoqVaoQFRVF5cqV8/W5U9NSuXfBvXy/73vcbe582v1THm76cL6+huTdjz9Cz57maSkfewzefBOyOdmViIi4kIL8m18UOOUq9aLA3c2dRX0WEdYkjFQjlUeWPMLbv73tUKfeLGo2bDB3AEpNNVefT5misikiIpIbKpwOzMPNgxk9ZvBcq+cAeGHlCzy34jnSjDSLkxU9u3bB3XebB3K/806YMQPc9K9HREQkV/Qn08HZbDbe7vQ273R6B4BJGyfx8HcPq3QWoqgo6NIFzpyBli3NQx/pWJoiIiK5p8LpJJ5t9SxT7poCmIdL2nxks8WJio5HH4UjR6B+ffjhB/D1tTqRiIiIc1HhdCK7TuwCzNNcNirfyOI0RcOqVeaxNj094bvvoEwZqxOJiIg4HxVOJ/HroV/5aMtHAHza/VOKexa3OJHrS0uD5583bz/+ONSubW0eERERZ6XC6QQupVxi8PeDARjUdBAda3a0OFHRMH8+/PEHlCgBr75qdRoRERHnpcLpBMavHc++U/uo4FeBdzu/m/MPyA1LTISXXzZvv/AClC1rbR4RERFnpsLp4H6P/p23f3sbgCndplCyWElrAxURzz0HBw9CxYowYoTVaURERJybCqcDi0+Mp/+i/qQaqTzQ4AHuqXeP1ZGKhFmz4IMPzNtTpkBxbS4rIiJyQ1Q4HdjTy57m3zP/UjWgKlO6TbE6TpGwZYu5gxDA6NHmaSxFRETkxqhwOqjNRzYzM3ImbjY35tw7R6vSC8Hx43Dffeb2m927w5gxVicSERFxDSqcDurUhVMAVC9ZnTbV2licxvWlpEDfvhAdDXXqwBdf6NSVIiIi+UV/Uh1UaJVQbNj498y/xJ6PtTqOy3vlFVi92jyL0OLFEBBgdSIRERHXocLpoEoWK0nD8g0BWH94vcVpXNuiRfDWW+btGTMgONjaPCIiIq5GhdOB3VblNkCFsyD99ReEhZm3w8Ohd29L44iIiLgkFU4Hlr7tpgpnwViyBDp1gvh4uP12ePNNqxOJiIi4JhVOB1axREUA4pPiLU7iWv7919wLvWdPiIqCm26CBQvA09PqZCIiIq5JhdOBnbt0DkCHRMonly7B+PFw883www9mwRw1Cv78E4KCrE4nIiLiujysDiDZO3vpLKDCmR+WLYOnnoL9+837HTrARx9BvXrW5hIRESkKNMLpwNILZ4C3jtFzvaKi4P/+D+680yybFSrAvHmwcqXKpoiISGHRCKcDO5dorlL38fSxOIlzOnYMGjWCs2fB3R2GD4exY8Hf3+pkIiIiRYsKpwOrW6YuAN/u/ZaTF04SWDzQ4kTOJTnZLJsAK1ZA+/aWxhERESmytErdgf1f8P/RJKgJcYlxjF873uo4TqdyZWja1Lx94IC1WURERIoyFU4H5mZzY1LnSQB8vPVj9p3aZ3Ei53Pffeb1okXW5hARESnKVDgdXIcaHehWuxspaSm8sPIFq+M4nXvvNa9XrDAP8C4iIiKFT4XTCbzT6R3cbe58u/dbth7danUcpxIcDHXqQFKSeexNERERKXwqnE6gftn63F7tdgD2ntxrcRrnYrNBnz7m7Y8/tjaLiIhIUaXC6SQ83XXexev12GPg4QG//goREVanERERKXpUOMXlVaoE999v3n7/fWuziIiIFEUqnE7iUsolADzdNNJ5PW691bzeqy0SRERECp1TFs4JEybQqlUrihcvTsmSJTM9/ueff/LAAw9QpUoVfHx8qF+/Pu+9916GeQ4ePIjNZst0WbZsWSG9i7w5EncEgIolKlqcxPkkJsJ//mPe7tfP2iwiIiJFkVOeaSgpKYlevXoRGhrK9OnTMz2+bds2ypYty5w5c6hSpQobNmzg0Ucfxd3dnWHDhmWYd+XKldx88832+6VLly7w/HllGAbRcdEAVAmoYnEa5zN9OkRHm6vWhwyxOo2IiEjR45SFc9y4cQDMmjUry8cfeeSRDPdr1qzJxo0bWbRoUabCWaZMGYKCggokZ345eeEkiamJ2LBphDOPLl2CCRPM26NGQbFi1uYREREpipxylfr1OHfuXJajlz169KBcuXK0bt2ar7/++prPkZiYSFxcnP0SX0hHEo+KiwKgvF95vNy9CuU1nd2JE7BkCQweDEePmqe5HDzY6lQiIiJFk1OOcObVxo0b+eqrr/jxxx/t0/z8/Jg8eTKtW7fGzc2NJUuW0KdPH2bPns2DDz6Y5fNMnDjRPrpamNJXp1f2r1zor+0M0tJg927YsOHy5e+/M87z6qvg7W1NPhERkaLOYQrn2LFjcyxzW7ZsISQkJE/Pu2vXLnr27Mno0aPp1KmTfXpgYCAjRoyw3w8JCeHMmTO8/fbb2RbOUaNGER4ebr9/5MgRgoOD85TnekSdM0c4q/hr+00wT1G5efPlcrlxI5w7l3m+4GBo1Qq6dr18TnUREREpfA5TOIcNG0bfvn2vOU/16tXz9Jy7d++mQ4cODBkyhFdeeSXH+Vu2bMlnn32W7ePe3t54XzFMFhcXl6c816soj3AaBhw6dLlc/vYbbN9ujmpeqXhxaNHCLJitWkHLluCA+3+JiIgUSQ5TOAMDAwkMDMy359u1axcdOnRg4MCBTEjfayQHERERVKhQId8y5Jf0bTiLwghnUhL88UfG1eMxMZnnq1btcrls1QoaNTLPJiQiIiKOxyn/RB8+fJjTp09z+PBhUlNTiYyMBKBWrVr4+fmxa9cu2rdvT+fOnQkPDyc2NhYAd3d3ypYtC8Ds2bPx9PSkadOmuLm58f333/P+++/z1ltvWfW2slUURjjnzYMpU2DLFvO4mVfy8IBbbjGLZevWEBpqHuJIREREnINTFs7Ro0cze/Zs+/2mTZsCsHr1atq1a8fChQs5ceIEc+fOZe7cufb5qlWrxsGDB+33X3/9dQ4dOoS7uzt16tRhxowZ2W6/aaUDZw8AUDWgqsVJ8p9hwBtvwJVbPAQGZhy9DAkBHx/rMoqIiMiNsRmGYVgdwllFR0dTpUoVoqKiqFy5YEYfzyedp8TEEgCcev4UpX1cZ8PEtDQYORL++1/z/siR8NhjUKsW2GyWRhMREcmgMP7muzKnHOEsSvac2ANAkF+QS5XN5GR45BGYM8e8/5//wDPPWBpJRERECogKp4PbdWIXAMFlC/7wS4XlwgXo3Rt+/BHc3WHmTBgwwOpUIiIiUlBUOB3c1qNbAbi57M05zOkcUlKgSxdYv948zeTChXD33VanEhERkYKkwumgTiSc4OllTzNv5zwAmldqbnGi/LF+vXnx9YVly+C226xOJCIiIgVNhdPBGIbBnO1zGPHzCE5dPIWbzY0RLUfwQIMHrI6WL9J3UatWTWVTRESkqFDhdCCHzh7isR8e4+d/fgagUflGfNb9M26tdKvFyfJP8eLm9YUL1uYQERGRwqPC6QBS01L5cPOHvPzLyyQkJ+Dt7s3otqN5rtVzeLp7Wh0vX6UfT1OFU0REpOhQ4bTYyQsn6T6vO79H/w5Am6pt+LT7p9QNrGtxsoKRPsIZH2+estIBzyQqIiIi+czN6gBF3Xd7v7OXTYDyfuXZc3IPiSmJ1/gp51WmjHlQ94sXoWpV6NsX1q27vG2niIiIuB4VTos92OhBXm//OnXLmCOaX+/+mnsX3EvQpCAGLxnMLwd+ITUt1eKU+adUKfj2W/N86CkpsGABtG0LjRrBxx+bI58iIiLiWnRqyxuQn6e5MgyDyNhIvtzxJfN2zuNI/BH7YxX8KtC3QV8G3zLYpQ4AHxFhlsy5cy9v0+nnBw89BCNGmKe4FBERcQQ6teWNUeG8AQX14Usz0vj10K98ueNLFu5eyJlLZwDwdvfm+HPH8ff2z7fXcgRnz8KoUTB16uVpQUHmNp4iIiKOQIXzxmiVugNys7nRtnpbPun+CbHPxrK4z2IAElMTuZRyyeJ0+WffPnjtNWjTJmPZ9PIyT30pIiIirkF7qTs4L3cvbq92u/1+qWKlLExz4/75B776ytx2888/L0/39ITOnc2i2bMnBARYl1FERETylwqnEzhz0Vyl7uvp65TH5Tx40CyZX30F27Zdnu7hAXfcYZbMe+4xdygSERER16PC6QTSt+Es5eM8jezUKZg1yyyZmzdfnu7uDh06mCXz3nvNwySJiIiIa1PhdALnLp0DcJqdhdLSzFK5fbt5380N2rUzS+Z990HZspbGExERkUKmwukEyvuVByA6LhrDMLDZbBYnurYVK8yy6e8PEyeaJTMoyOpUIiIiYhXtpe4E6papi6ebJ3GJcRw+d9jqODlK3+P84Ydh6FCVTRERkaJOhdMJeLp7Ui+wHgA7ju+wOM21RUfD99+btx97zNosIiIi4hhUOJ1Ew/INAdhxzLEL5/TpkJpqnq6yfn2r04iIiIgjUOF0Eg3KNgBg98ndFie5tjlzzGuNboqIiEg6FU4ncSHZPNm4r6evxUmu7eJF87pOHWtziIiIiONQ4XQSf5/+G4BapWtZnOTaAgPN65Mnrc0hIiIijkOF00nsP70fgNqla1uc5NpUOEVERORqKpxOwDAMpxnhTD9z0KlT1uYQERERx6HC6QQOnTtEXGIcADVL1bQ4zbVphFNERESupsLpBN7f9D4Abau1xcfTx+I011bqf6d7P3PG2hwiIiLiOFQ4HdzJCyf5ZNsnAIy6bZTFaXIWEGBenztnbQ4RERFxHCqcDu79Te9zIfkCzSo0o/NNna2Ok6OSJc3rs2etTCEiIiKORIXTgcUlxvHB5g8AeKnNS9hsNosT5Sy9cGqEU0RERNI5ZeGcMGECrVq1onjx4pRMbzhXsdlsmS5Tp07NMM+OHTto27YtPj4+VKpUifHjx2MYRiG8g9yZv3M+Zy+dxc/Lj041O1kdJ1fSfx179sC//1oaRURERByEUxbOpKQkevXqxRNPPHHN+WbOnElMTIz9MnDgQPtjcXFxdOrUiYoVK7JlyxY++OAD3n33XSZPnlzQ8XOtUflGeLt7cz7pPB0/78jxhONWR8pRq1ZQowacOGHe/uMPqxOJiIiI1ZyycI4bN44RI0bQsGHDa85XsmRJgoKC7Bcfn8t7eM+dO5dLly4xa9YsGjRowH333cdLL73E5MmTHWaUs2Xllqx6aBWlfUqz5egWQqeHsu/UPqtjXZOvL/z2GzRuDMeOQdu2sHy51alERETESk5ZOHNr2LBhBAYGcuuttzJ16lTS0tLsj23cuJG2bdvi7e1tn9alSxeOHj3KwYMHs3y+xMRE4uLi7Jf4+PiCfgu0rtqaDY9soEbJGvx75l9aTW/FhqgNBf66N6JCBVi3Djp2hPPnoVs3mDPH6lQiIiJiFZctnK+99hoLFy5k5cqV9O3bl5EjR/LGG2/YH4+NjaV8+fIZfib9fmxsbJbPOXHiRAICAuyX4ODggnsDV6gbWJeNgzYSUjGEUxdP0fHzjizes7hQXvt6+fvD0qXQrx+kpMCAAfD22+Agg8ciIiJSiBymcI4dOzbLHX2uvGzdujXXz/fKK68QGhpKkyZNGDlyJOPHj+edd97JMM/Ve32nr0rPbm/wUaNGce7cOftl9+7deXyX16+8X3nWDFzD3XXu5lLKJe5feD9/n/q70F7/enh5wRdfwMiR5v0XXoDHHoOkJGtziYiISOHysDpAumHDhtG3b99rzlO9evXrfv6WLVsSFxfHsWPHKF++PEFBQZlGMo8fN3fKuXrkM523t3eGVfBxcXHXned6+Hr50q9BP37Y9wPe7t4EFAso1Ne/Hm5u8O67ULkyhIfDp5/C7t3wzTeQzWIWERERF+MwhTMwMJDA9BNxF4CIiAiKFStmP4xSaGgoL730EklJSXh5eQGwfPlyKlaseEPFtiAlJCXw/MrnAXjxthcp51vO4kS598wzULcuPPCAuVNRSAgsXmxei4iIiGtzmFXqeXH48GEiIyM5fPgwqampREZGEhkZyfnz5wH4/vvv+fTTT9m5cyf//PMPn332GS+//DKPPvqofYSyX79+eHt7ExYWxs6dO1m8eDFvvPEG4eHhDnuA9bd+e4vouGiqBVTjuVbPWR0nz+68EzZvhnr1IDoa2rSBuXOtTiUiIiIFzWFGOPNi9OjRzJ49236/adOmAKxevZp27drh6enJlClTCA8PJy0tjZo1azJ+/HiefPJJ+88EBASwYsUKnnzySUJCQihVqhTh4eGEh4cX+vvJjYNnD/LOBnMb1EmdJ+Hj6ZPDTzimOnXg99/hwQfhhx/M68hIePNNcHe3Op2IiIgUBJvhKAeddELR0dFUqVKFqKgoKleuXGCvk2ak0e3Lbizbv4z21duz6qFVDjsKm1tpaTB6NEyYYN7v3h3mz4fixa3NJSIikpXC+pvvqpxylXpR8/q611m2fxnFPIrxwZ0fOH3ZBHNnotdfhwULoFgx+P576NQJTp+2OpmIiIjkNxVOB7ds/zLGrhkLwNRuU7m53M3WBspnvXvDypVQqhRs2AC33QaHD1udSkRERPKTCqcDOxp/lP6L+mNg8OgtjzKwycCcf8gJtW4Nv/5qHjppzx7zHOx/O/YhRkVERCQPVDgd2LRt0zh98TRNgprw3p3vWR2nQN18sznCGRwMR45A585w9KjVqURERCQ/qHA6qDQjjc///ByAZ0OfpZhHMYsTFbwqVWD1aqhVCw4ehC5d4MwZq1OJiIjIjVLhdFDrD6/nwNkDlPAqwb3177U6TqEpVw6WL4egINi509x7/cIFq1OJiIjIjVDhdFCzI83jjPYK7kVxz6J1rKAaNeDnnyEgwDwrUZ8+kJJidSoRERG5XiqcDuhi8kUW7l4IwEONH7I4jTUaNTIPlVSsmHmA+IcfVukUERFxViqcDig5LZnzSeetjmG5Nm3M43S6u8OcOdCzJyQkWJ1KRERE8kqF0wH5e/sz5JYhADy59EmSU5MtTmSdHj1g0SLw8YGlS6F9ezh+3OpUIiIikhcqnA7qjY5vUManDLtO7OL9Te9bHcdSPXrAqlVQpgxs2WIet/Off6xOJSIiIrmlwumgyhQvw1t3vAXA2LVjORJ3xOJE1goNNXcgql4d9u8372/danUqERERyQ0VTgf2cNOHCa0cyvmk8zy/8nmr41iubl3YuBGaNoUTJ6BdO9i82epUIiIikhMVTgfmZnPjhdYvALAxaqPFaayXkgLLlsHZs+b9hARYt87SSCIiIpILHlYHkGvbe3IvAE0rNLU4iXVSU2HePBg3zlydDlC+PLz4IgwbZm02ERERyZkKp4NbH7UegNuq3GZxksKXlgZffw1jx8KePea0MmXghRdg6FDw9bU0noiIiOSSCqcDSzPS+O3wbwDcVrXoFE7DgG+/hTFjYMcOc1qpUvDss/DUU1CihKXxREREJI9UOB3Y7hO7OXPpDL6evkVmlfqxY3D33Zf3QPf3h/BweOYZ81SXIiIi4nxUOB3Y0fijAFTyr4SHW9H4VU2YYJZNPz94+mkYOdIc3RQRERHnVTRajJNqVL4RAPtP7+d80nn8vPwsTlSwTp+G6dPN24sWQadO1uYRERGR/KHDIjmwIL8gKvtXJs1I44+YP6yOU+CmToULF6BxY7jjDqvTiIiISH5R4XRwIRVDANhyZIvFSQpWYiK8/78zeD77LNhs1uYRERGR/KPC6eBurXgrAFuOunbh/Pxzc4ehypWhTx+r04iIiEh+UuF0cHXL1AXg0LlDFicpOP/8A889Z94eMQI8Pa3NIyIiIvlLhdPBnUs8B0Bpn9IWJykYFy/C/ffDuXPQqpV5nE0RERFxLSqcDu7khZMABBYPtDhJwRg+HCIjoWxZ+OorjW6KiIi4IhVOB5deOMv4lLE4Sf6bNQs++8zcQejLL6FSJasTiYiISEFQ4XRwrjrCuXMnPPGEeXv8eB0GSURExJWpcDqJY+ePWR0hX40aBZcuQZcu8NJLVqcRERGRgqTC6eDuD74fgLk75pKYkmhxmvwREQE//ABubuaxN930KRQREXFp+lPv4Lrc1IVKJSpx6uIplvy1xOo4+WLCBPO6Tx+oU8faLCIiIlLwnLJwTpgwgVatWlG8eHFKliyZ6fFZs2Zhs9myvBw/fhyAgwcPZvn4smXLCvndXJu7mzsPN3kYgM8iPrM4zY3btQu++ca8/fLL1mYRERGRwuGUhTMpKYlevXrxRPpeJ1fp06cPMTExGS5dunShbdu2lCtXLsO8K1euzDBfhw4dCuMt5MnDTc3CueKfFRw667wHgE9NhVdfNW//P3t3HhZV2b8B/B62YUcU2QQRd3FBAxc0w13LJSu3LIU3NU1JDa3XpdzKsExbNPUt18rUXF97MxV3TTSlwVQ0NxBQEFdAVNbn98f5zejIjsycWe7Pdc01M2eeOXOfh9Px23O2V18FmjaVNw8RERHph5XcASpj9uzZAKSRzOLY2dnBzs5O8/7mzZvYt28fVqxYUaRtjRo14OnpqZOcVaWua12082mHYynH8EfyH/Cr5id3pAq7cwd44w1g507pMkgc3SQiIjIfRjnCWVE//PAD7O3tMWDAgCKf9evXD+7u7ujQoQM2bdpU6nxycnKQmZmpeWRlZekqchHOSmcAQKEo1NtvVpW4OCA4WCo27eyAH38EnntO7lRERESkL2ZRcK5cuRJDhw7VGvV0dHTEwoULsWnTJuzYsQNdu3bF4MGD8dNPP5U4n6ioKLi4uGgeAQEB+ohv1H76CQgJARISAH9/ICZGGukkIiIi82EwBeesWbNKPNFH/Th58mSF5xsTE4P4+HiMGDFCa7qbmxvee+89tGnTBsHBwZgzZw7Gjh2Lzz//vMR5TZ06FRkZGZpHfHx8hfOYi9xc6baVw4ZJ19vs1Qs4eRIIDJQ7GREREembwRzDGRERgSFDhpTapk6dOhWe7/Lly9GyZUsEBQWV2bZdu3ZYvrzkM8GVSiWUSqXmfWZmZoXzmIPMTKB3b+DIEen9Rx8BM2cClpby5iIiIiJ5GEzB6ebmBje3qr194/379/HLL78gKiqqXO1VKhW8vLyqNENVEELg8p3LAAAHaweZ05TtvfekYtPZWdql3rev3ImIiIhITgZTcFZEUlIS7ty5g6SkJBQUFCAuLg4AUL9+fTg6OmrabdiwAfn5+XijmIMG16xZA2tra7Rq1QoWFhb49ddf8c033+Czzz7T12KU26Grh3D57mU42Tihe73ucscp1W+/AStXSmei//or8MILciciIiIiuRllwTljxgysWbNG875Vq1YAgP3796NTp06a6StWrMCrr74KV1fXYufzySef4OrVq7C0tETDhg2xcuVKvPnmmzrNXhnqC74PaTYEjjaOZbSWz507wKhR0uuJE1lsEhERkUQhhBByhzBWKSkp8PX1RXJyMnx8fHTyG/ce3YPXAi88yn+E4yOPo02tNjr5narw5pvA2rVAo0bS/dKfuCgAERGRUdPHv/mmzGDOUqfi/Xz6ZzzKf4Rm7s3Q2ru13HFK9N//SsWmhQWwZg2LTSIiInqMBaeBO33jNAAgPTsdJ66fkDlNyX74QXqeMAFo21beLERERGRYWHAauI9CP0KgRyDSs9PRaXUnbI7fLHekYj18KD23aCFvDiIiIjI8LDgNnLeTNw7/6zBeavASHuY/xMCNAzH/j/kwtENv8/OlZ2treXMQERGR4WHBaQSclE7475D/IqJ1BAQEPtjzAcb8bwzyCvLkjqahLjh5cXciIiJ6GgtOI2FlYYVFLy3C172+hgIKfPfXd+i7ri8KRaHc0QA8PklIvWudiIiISI0Fp5F5pfErCKgZAADYdXkXEu8lyhvo/7m4SM8ZGfLmICIiIsPDgtNICCHwfez3aLqkKc7ePAtbK1t81fMr1HWtK3c0ANJtLAEWnERERFSUUd5pyNwkZyRjxPYRiL4SDQBo79seK/utRCO3RjIne0w9wpmZKW8OIiIiMjwsOA2cEAIv/fwSzqSfgZ2VHT7t+inebfMuLC0M6+wcdcF565a8OYiIiMjwsOA0cEeTj+JM+hk4WDtANVqFBjUayB2pWOrrbx45Im8OIiIiMjw8htPArY5bDQAY2HSgwRabABAaClhZAVeuSA8iIiIiNRacBiw7Nxsbzm4AAIQHhssbpgxOTkC7dtLrPXvkzUJERESGhQWnAdt6fiuycrPgX80fHf06yh2nTN27S8/R0fLmICIiIsPCgtOA/e/C/wAAg5oOgoXC8P9U3bpJzwcOyBqDiIiIDIzhVzFmrH71+gCAQ1cPyZykfOrUkZ7v3pU1BhERERkYFpwGLKJNBGwsbRCTEoM/kv6QO06ZrK2l54ICoNAw7rhJREREBoAFpwHzdPTE8BbDAQDzj86XOU3ZbGwev87Lky8HERERGRYWnAZuUvtJAID//vNfnL91XuY0pVOPcAJAbq58OYiIiMiwsOA0cI3dGuPlRi8DAOYcnCNzmtIlJT1+XVAgXw4iIiIyLCw4jcBHL3wEBRRYd2Yd9ifslztOsTIzgVdflV536gRUqyZnGiIiIjIkLDiNQJB3EN4JfgcAMHbHWOQWGNb+6sJCICwMOHcO8PYG1q2TOxEREREZEhacRmJu17lwd3DH+Vvn8cXRL+SOo2XuXGDbNumkoS1bAE9PuRMRERGRIWHBaQTSs9MxeNNgpGenAwCm75uOhLsJMqeS/O9/wIwZ0uulS4G2beXNQ0RERIaHBacR8PjCA7sv79aa9tb2t2RK85gQwKhRj9+/JX8kIiIiMkAsOI2AfzX/ItNGB42WIYk2hQIYMgRwcgKmT5c7DRERERkqK7kDUNmuTLgid4QSffml9CAiIiIqCUc4iYiIiEinWHASERERkU6x4CQiIiIinTK6gjMxMREjRoyAv78/7OzsUK9ePcycORO5T928OykpCX379oWDgwPc3Nwwfvz4Im1Onz6N0NBQ2NnZoVatWpgzZw6EEPpcHCIiIiKTZ3QnDZ0/fx6FhYX4z3/+g/r16+PMmTMYNWoUsrOz8cUX0gXRCwoK0Lt3b9SsWRNHjhzB7du3ERYWBiEEFi1aBADIzMxE9+7d0blzZ5w4cQIXLlxAeHg4HBwcMGnSJDkXkYiIiMikKIQJDOnNnz8fS5cuxZUr0tncv//+O/r06YPk5GR4e3sDANavX4/w8HCkp6fD2dkZS5cuxdSpU3Hjxg0olUoAwLx587Bo0SKkpKRAoVCU+bspKSnw9fVFcnIyfHx8dLeAREREJCv+m/9sjG6XenEyMjJQvXp1zfuYmBg0a9ZMU2wCQM+ePZGTk4PY2FhNm9DQUE2xqW5z/fp1JCYm6i07ERERkakzul3qT7t8+TIWLVqEBQsWaKalpaXBw8NDq52rqytsbGyQlpamaVOnTh2tNurvpKWlwd+/6MXWc3JykJOTo3mfkZEBAEhNTa2SZSEiIiLDpP63vrCwUOYkxslgCs5Zs2Zh9uzZpbY5ceIEgoODNe+vX7+OXr16YeDAgRg5cqRW2+J2iQshtKY/3UZ9dEFJu9OjoqKKzdimTZtScxMREZFpSE5ORu3ateWOYXQMpuCMiIjAkCFDSm3z5Ijk9evX0blzZ4SEhOC7777Taufp6Ynjx49rTbt79y7y8vI0o5ienp6a0U619PR0ACgyOqo2depUREZGat7fuXMH/v7+OHPmDFxcXEpfQDOVlZWFgIAAxMfHw8nJSe44Bof9Uzb2UdnYR6Vj/5SNfVS2jIwMNGvWDE2aNJE7ilEymILTzc0Nbm5u5Wp77do1dO7cGUFBQVi1ahUsLLQPRQ0JCcHcuXORmpoKLy8vAMDu3buhVCoRFBSkaTNt2jTk5ubCxsZG08bb27vIrnY1pVKpdcynmq+vL5ydncu7qGYlMzMTAFCrVi32UTHYP2VjH5WNfVQ69k/Z2EdlU/eLlZXBlE5GxehOGrp+/To6deoEX19ffPHFF7h58ybS0tK0Rit79OiBgIAADBs2DCqVCnv37sXkyZMxatQozQozdOhQKJVKhIeH48yZM9i6dSs+/fRTREZGlusMdSIiIiIqH6Mr03fv3o1Lly7h0qVLRS5LoD4G09LSEr/99hvGjh2LDh06wM7ODkOHDtVcpxMAXFxcEB0djXHjxiE4OBiurq6IjIzU2mVORERERM/O6ArO8PBwhIeHl9mudu3a+N///ldqm+bNm+PQoUOVzqJUKjFz5sxid7OThH1UOvZP2dhHZWMflY79Uzb2UdnYR8/GJC78TkRERESGy+iO4SQiIiIi48KCk4iIiIh0igUnEREREekUC04iIiIi0ikWnGWYNWsWFAqF1sPT01PzuRACs2bNgre3N+zs7NCpUyecPXtWxsS6d+jQIfTt2xfe3t5QKBTYtm2b1ufl6ZOcnBy8++67cHNzg4ODA/r164eUlBQ9LoVuldVH4eHhRdardu3aabUx5T6KiopC69at4eTkBHd3d/Tv3x///POPVhtzXo/K0z/mvg4tXboULVq0gLOzM5ydnRESEoLff/9d87k5rz9qZfWRua9DT4uKioJCocDEiRM107geVR0WnOXQtGlTpKamah6nT5/WfPb5559j4cKFWLx4MU6cOAFPT090794dWVlZMibWrezsbAQGBmLx4sXFfl6ePpk4cSK2bt2K9evX48iRI7h//z769OmDgoICfS2GTpXVRwDQq1cvrfVqx44dWp+bch8dPHgQ48aNw7FjxxAdHY38/Hz06NED2dnZmjbmvB6Vp38A816HfHx8MG/ePJw8eRInT55Ely5d8PLLL2uKAXNef9TK6iPAvNehJ504cQLfffcdWrRooTWd61EVElSqmTNnisDAwGI/KywsFJ6enmLevHmaaY8ePRIuLi5i2bJlekooLwBi69atmvfl6ZN79+4Ja2trsX79ek2ba9euCQsLC7Fz5069ZdeXp/tICCHCwsLEyy+/XOJ3zK2P0tPTBQBx8OBBIQTXo6c93T9CcB0qjqurq1i+fDnXn1Ko+0gIrkNqWVlZokGDBiI6OlqEhoaKCRMmCCG4HapqHOEsh4sXL8Lb2xv+/v4YMmQIrly5AgBISEhAWloaevTooWmrVCoRGhqKo0ePyhVXVuXpk9jYWOTl5Wm18fb2RrNmzcyq3w4cOAB3d3c0bNgQo0aNQnp6uuYzc+ujjIwMAED16tUBcD162tP9o8Z1SFJQUID169cjOzsbISEhXH+K8XQfqXEdAsaNG4fevXujW7duWtO5HlUto7vTkL61bdsWP/zwAxo2bIgbN27gk08+Qfv27XH27FnN/ds9PDy0vuPh4YGrV6/KEVd25emTtLQ02NjYwNXVtUgb9fdN3YsvvoiBAwfCz88PCQkJ+Oijj9ClSxfExsZCqVSaVR8JIRAZGYnnn38ezZo1A8D16EnF9Q/AdQgATp8+jZCQEDx69AiOjo7YunUrAgICNP/Qc/0puY8ArkMAsH79evz11184ceJEkc+4HapaLDjL8OKLL2peN2/eHCEhIahXrx7WrFmjObhaoVBofUcIUWSaualMn5hTvw0ePFjzulmzZggODoafnx9+++03vPrqqyV+zxT7KCIiAn///TeOHDlS5DOuRyX3D9choFGjRoiLi8O9e/ewefNmhIWF4eDBg5rPuf6U3EcBAQFmvw4lJydjwoQJ2L17N2xtbUtsx/WoanCXegU5ODigefPmuHjxouZs9af/LyY9Pb3I/xGZi/L0iaenJ3Jzc3H37t0S25gbLy8v+Pn54eLFiwDMp4/effddbN++Hfv374ePj49mOtcjSUn9UxxzXIdsbGxQv359BAcHIyoqCoGBgfj666+5/jyhpD4qjrmtQ7GxsUhPT0dQUBCsrKxgZWWFgwcP4ptvvoGVlZVmGbkeVQ0WnBWUk5ODc+fOwcvLC/7+/vD09ER0dLTm89zcXBw8eBDt27eXMaV8ytMnQUFBsLa21mqTmpqKM2fOmG2/3b59G8nJyfDy8gJg+n0khEBERAS2bNmCffv2wd/fX+tzc1+Pyuqf4pjbOlQcIQRycnLMfv0pjbqPimNu61DXrl1x+vRpxMXFaR7BwcF44403EBcXh7p163I9qkr6PkvJ2EyaNEkcOHBAXLlyRRw7dkz06dNHODk5icTERCGEEPPmzRMuLi5iy5Yt4vTp0+L1118XXl5eIjMzU+bkupOVlSVUKpVQqVQCgFi4cKFQqVTi6tWrQojy9cmYMWOEj4+P2LNnj/jrr79Ely5dRGBgoMjPz5drsapUaX2UlZUlJk2aJI4ePSoSEhLE/v37RUhIiKhVq5bZ9NE777wjXFxcxIEDB0Rqaqrm8eDBA00bc16PyuofrkNCTJ06VRw6dEgkJCSIv//+W0ybNk1YWFiI3bt3CyHMe/1RK62PuA4V78mz1IXgelSVWHCWYfDgwcLLy0tYW1sLb29v8eqrr4qzZ89qPi8sLBQzZ84Unp6eQqlUihdeeEGcPn1axsS6t3//fgGgyCMsLEwIUb4+efjwoYiIiBDVq1cXdnZ2ok+fPiIpKUmGpdGN0vrowYMHokePHqJmzZrC2tpa1K5dW4SFhRVZflPuo+L6BoBYtWqVpo05r0dl9Q/XISHeeust4efnJ2xsbETNmjVF165dNcWmEOa9/qiV1kdch4r3dMHJ9ajqKIQQQn/jqURERERkbngMJxERERHpFAtOIiIiItIpFpxEREREpFMsOImIiIhIp1hwEhEREZFOseAkIiIiIp1iwUlEREREOsWCk4iIiIh0igUnEREREekUC04iIiIi0ikWnERERESkUyw4iYiIiEinWHASERERkU6x4CQiIiIinWLBSUREREQ6xYKTiIiIiHSKBScRERER6RQLTiIiIiLSKRacZViyZAn8/f1ha2uLoKAgHD58uNT2Bw8eRFBQEGxtbVG3bl0sW7ZMT0n1oyL9sWXLFnTv3h01a9aEs7MzQkJCsGvXLj2m1a2Krhtqf/zxB6ysrNCyZUvdBtSzivZHTk4Opk+fDj8/PyiVStSrVw8rV67UU1rdq2h/rF27FoGBgbC3t4eXlxf+9a9/4fbt23pKq1uHDh1C37594e3tDYVCgW3btpX5HVPdlla0L0x9O1qZdUPNVLelpooFZyk2bNiAiRMnYvr06VCpVOjYsSNefPFFJCUlFds+ISEBL730Ejp27AiVSoVp06Zh/Pjx2Lx5s56T60ZF++PQoUPo3r07duzYgdjYWHTu3Bl9+/aFSqXSc/KqV9G+UMvIyMDw4cPRtWtXPSXVj8r0x6BBg7B3716sWLEC//zzD9atW4fGjRvrMbXuVLQ/jhw5guHDh2PEiBE4e/YsNm7ciBMnTmDkyJF6Tq4b2dnZCAwMxOLFi8vV3pS3pRXtC1PejgIV7w81U92WmjRBJWrTpo0YM2aM1rTGjRuLKVOmFNv+gw8+EI0bN9aaNnr0aNGuXTudZdSnivZHcQICAsTs2bOrOpreVbYvBg8eLD788EMxc+ZMERgYqMOE+lXR/vj999+Fi4uLuH37tj7i6V1F+2P+/Pmibt26WtO++eYb4ePjo7OMcgEgtm7dWmobU9+WqpWnL4pjKtvRp1WkP0x1W2rKOMJZgtzcXMTGxqJHjx5a03v06IGjR48W+52YmJgi7Xv27ImTJ08iLy9PZ1n1oTL98bTCwkJkZWWhevXquoioN5Xti1WrVuHy5cuYOXOmriPqVWX6Y/v27QgODsbnn3+OWrVqoWHDhpg8eTIePnyoj8g6VZn+aN++PVJSUrBjxw4IIXDjxg1s2rQJvXv31kdkg2PK29JnZSrb0WdhqttSU2cldwBDdevWLRQUFMDDw0NruoeHB9LS0or9TlpaWrHt8/PzcevWLXh5eeksr65Vpj+etmDBAmRnZ2PQoEG6iKg3lemLixcvYsqUKTh8+DCsrEzrP7vK9MeVK1dw5MgR2NraYuvWrbh16xbGjh2LO3fuGP1xnJXpj/bt22Pt2rUYPHgwHj16hPz8fPTr1w+LFi3SR2SDY8rb0mdlKtvRyjLlbamp4whnGRQKhdZ7IUSRaWW1L266sapof6itW7cOs2bNwoYNG+Du7q6reHpV3r4oKCjA0KFDMXv2bDRs2FBf8fSuIutGYWEhFAoF1q5dizZt2uCll17CwoULsXr1apMY5QQq1h/x8fEYP348ZsyYgdjYWOzcuRMJCQkYM2aMPqIaJFPfllaGKW5HK8JctqWmiv97UAI3NzdYWloWGZFIT08v8n/eap6ensW2t7KyQo0aNXSWVR8q0x9qGzZswIgRI7Bx40Z069ZNlzH1oqJ9kZWVhZMnT0KlUiEiIgKAVHAJIWBlZYXdu3ejS5cuesmuC5VZN7y8vFCrVi24uLhopjVp0gRCCKSkpKBBgwY6zaxLlemPqKgodOjQAe+//z4AoEWLFnBwcEDHjh3xySefmN2InilvSyvL1LajlWHq21JTxxHOEtjY2CAoKAjR0dFa06Ojo9G+fftivxMSElKk/e7duxEcHAxra2udZdWHyvQHIP0feXh4OH7++WeTOR6ton3h7OyM06dPIy4uTvMYM2YMGjVqhLi4OLRt21Zf0XWiMutGhw4dcP36ddy/f18z7cKFC7CwsICPj49O8+paZfrjwYMHsLDQ3hxbWloCeDyyZ05MeVtaGaa4Ha0MU9+Wmjx5zlUyDuvXrxfW1tZixYoVIj4+XkycOFE4ODiIxMREIYQQU6ZMEcOGDdO0v3LlirC3txfvvfeeiI+PFytWrBDW1tZi06ZNci1Clapof/z888/CyspKfPvttyI1NVXzuHfvnlyLUGUq2hdPM7UzKyvaH1lZWcLHx0cMGDBAnD17Vhw8eFA0aNBAjBw5Uq5FqFIV7Y9Vq1YJKysrsWTJEnH58mVx5MgRERwcLNq0aSPXIlSprKwsoVKphEqlEgDEwoULhUqlElevXhVCmNe2tKJ9YcrbUSEq3h9PM7VtqSljwVmGb7/9Vvj5+QkbGxvx3HPPiYMHD2o+CwsLE6GhoVrtDxw4IFq1aiVsbGxEnTp1xNKlS/WcWLcq0h+hoaECQJFHWFiY/oPrQEXXjSeZ4kayov1x7tw50a1bN2FnZyd8fHxEZGSkePDggZ5T605F++Obb74RAQEBws7OTnh5eYk33nhDpKSk6Dm1buzfv7/UbYE5bUsr2hemvh2tzLrxJFPclpoqhRBmuL+GiIiIiPSGx3ASERERkU6x4CQiIiIinWLBSUREREQ6xYKTiIiIiHSKBScRERER6RQLTiIiIiLSKRaczyAnJwezZs1CTk6O3FEMAvtDG/tDG/vjMfaFNvaHNvaHNvaHaTD763AuWbIE8+fPR2pqKpo2bYqvvvoKHTt2LNd3MzMz4eLigoyMDDg7O+s4qeFjf2hjf2hjfzzGvtDG/tDG/tDG/jANZj3CuWHDBkycOBHTp0+HSqVCx44d8eKLLyIpKUnuaEREREQmw6wLzoULF2LEiBEYOXIkmjRpgq+++gq+vr5YunSp3NGIiIiITIaV3AHkkpubi9jYWEyZMkVreo8ePXD06NFiv5OTk6N1DMmdO3cAAMnJyXBxcdFdWCORlZUFALh27RoyMzNlTiM/9oc29sdj7Att7A9t7A9thtIfhYWFuHHjBlq1agUrK7MtnyrNbHvs1q1bKCgogIeHh9Z0Dw8PpKWlFfudqKgozJ49u8j0Zs2a6SSjsQoICJA7gkFhf2hjfzzGvtDG/tDG/tBmKP3x559/onXr1nLHMDpmW3CqKRQKrfdCiCLT1KZOnYrIyEjN++TkZDRr1gx//vknvLy8dJqTiIiI5JOamoo2bdoUGaii8jHbgtPNzQ2WlpZFRjPT09NLXJmUSiWUSqXmvXo3upeXF3x8fHQXloiIiAyChYVZn/5SaWbbazY2NggKCkJ0dLTW9OjoaLRv316mVERERESmx2xHOAEgMjISw4YNQ3BwMEJCQvDdd98hKSkJY8aMkTsaERERkckw64Jz8ODBuH37NubMmYPU1FQ0a9YMO3bsgJ+fn9zRiIiIiEyGWRecADB27FiMHTtW7hhEREREJstsj+Ek05eeno7Ro0ejdu3aUCqV8PT0RM+ePRETE6Npo1AosG3btir5vcTERCgUCsTFxZXa7sCBA1AoFLh3716Rz1q2bIlZs2Zp2pT2WL16NQBg8+bN6NSpE1xcXODo6IgWLVpgzpw5muvElseWLVvQvXt31KxZE87OzggJCcGuXbuKtNu8eTMCAgKgVCoREBCArVu3an0eFRWF1q1bw8nJCe7u7ujfvz/++ecfzed5eXn497//jebNm8PBwQHe3t4YPnw4rl+/XmbGu3fvYtiwYXBxcYGLiwuGDRtWpA8nTJiAoKAgKJVKtGzZstzLf/DgQQQFBcHW1hZ169bFsmXLtD4/e/YsXnvtNdSpUwcKhQJfffVVmfN89OgRwsPD0bx5c1hZWaF///5F2qSmpmLo0KFo1KgRLCwsMHHixHLlzcnJwbvvvgs3Nzc4ODigX79+SElJ0Xxe2vpz4sSJUudd1t8YkG4J7O/vD1tbWwQFBeHw4cPlyk1E5osFJ5ms1157DadOncKaNWtw4cIFbN++HZ06dapQIVZeubm5VTq/9u3bIzU1VfMYNGgQevXqpTVt8ODBmD59OgYPHozWrVvj999/x5kzZ7BgwQKcOnUKP/74Y7l/79ChQ+jevTt27NiB2NhYdO7cGX379oVKpdK0iYmJweDBgzFs2DCcOnUKw4YNw6BBg3D8+HFNm4MHD2LcuHE4duwYoqOjkZ+fjx49eiA7OxsA8ODBA/z111/46KOP8Ndff2HLli24cOEC+vXrV2bGoUOHIi4uDjt37sTOnTsRFxeHYcOGabURQuCtt97C4MGDy73sCQkJeOmll9CxY0eoVCpMmzYN48ePx+bNmzVtHjx4gLp162LevHnw9PQs13wLCgpgZ2eH8ePHo1u3bsW2ycnJQc2aNTF9+nQEBgaWO/PEiROxdetWrF+/HkeOHMH9+/fRp08fFBQUACi6/qSmpmLkyJGoU6cOgoODS5xvef7GvCUwEVWKoEpLTk4WAERycrLcUegpd+/eFQDEgQMHSmzj5+cnAGgefn5+QgghLl26JPr16yfc3d2Fg4ODCA4OFtHR0UW++/HHH4uwsDDh7Owshg8frjUvACI0NLTY392/f78AIO7evVvks8DAQDFz5swi08PCwsTLL7+sNe348eMCgPjqq69K7INnERAQIGbPnq15P2jQINGrVy+tNj179hRDhgwpcR7p6ekCgDh48GCJbf78808BQFy9erXENvHx8QKAOHbsmGZaTEyMACDOnz9fpP3MmTNFYGBgifN70gcffCAaN26sNW306NGiXbt2xbb38/MTX375ZbnmrVbc3+9poaGhYsKECWXO6969e8La2lqsX79eM+3atWvCwsJC7Ny5s9jv5ObmCnd3dzFnzpxS512ev3GbNm3EmDFjtNo0btxYTJkypczsRMaM/+Y/G45wkklydHSEo6Mjtm3bpnU70iepdy2uWrUKqampmvf379/HSy+9hD179kClUqFnz57o27dvkRGc+fPno1mzZoiNjcVHH32EP//8EwCwZ88epKamYsuWLTpcQmDt2rVwdHQs8RjkatWqAXi8q//AgQPlnndhYSGysrJQvXp1zbSYmBj06NFDq13Pnj1LvBUsAGRkZACA1nyKa6NQKDR5ixMTEwMXFxe0bdtWM61du3ZwcXEp9ffLo6TlOnnyJPLy8p5p3lVBvXs8MTERABAbG4u8vDytzN7e3mjWrFmJfbF9+3bcunUL4eHhWtPr1KmDWbNmad6X9TdW3xL46Tal3RKYiAjgLnUyUVZWVli9ejXWrFmDatWqoUOHDpg2bRr+/vtvTZuaNWsCkAozT09PzfvAwECMHj0azZs3R4MGDfDJJ5+gbt262L59u9ZvdOnSBZMnT0b9+vVRv359zfdr1KgBT0/PUousqnDx4kXUrVsX1tbWpbaztrZGo0aNYG9vX+55L1iwANnZ2Rg0aJBmWlpaWoVuBSuEQGRkJJ5//vkSb//66NEjTJkyBUOHDoWzs3OJedLS0uDu7l5kuru7e4m/X14lLVd+fj5u3br1TPOuCvb29mjUqJHm75yWlgYbGxu4urpqtSvtb7FixQr07NkTvr6+WtPr1asHNzc3zfuy/saVuSUwERHAgpNM2GuvvYbr169j+/bt6NmzJw4cOIDnnntOc7JNSbKzs/HBBx8gICAA1apVg6OjI86fP19khLO0Y+H0QZRyG9Yn1apVC+fPn0ebNm3KNd9169Zh1qxZ2LBhQ5EiryK3go2IiMDff/+NdevWFft5Xl4ehgwZgsLCQixZskQzfcyYMZoRakdHxxJ/u6zfL86T833yervFLVdJv6lvbdq0wfnz51GrVq1S25XUFykpKdi1axdGjBhR5LO9e/ciIiJCa1p5/sYVWQ+IiABeFolMnK2tLbp3747u3btjxowZGDlyJGbOnFlk1+KT3n//fezatQtffPEF6tevDzs7OwwYMKDIiUEODg6VyqQeycvIyCiyG/nevXuaW6aWpWHDhjhy5Ajy8vLKHOUsrw0bNmDEiBHYuHFjkRNdPD09y30r2HfffRfbt2/HoUOHir3ta15eHgYNGoSEhATs27dPa3Rzzpw5mDx5cpHfvnHjRpH53Lx5s0L3NX7yCgLq3yxpuaysrFCjRo1yz1tfPD09kZubi7t372qNcqanpxd7l7RVq1ahRo0a5Toxq6y/cWVuCUxEBHCEk8xMQECA5oxpQNrdrD6zV+3w4cMIDw/HK6+8gubNm8PT01Nz/FxpbGxsAKDI/J7WoEEDWFhYFLk8TWpqKq5du4ZGjRqVa1mGDh2K+/fva40OPqm4yy6VZt26dQgPD8fPP/+M3r17F/k8JCSkyK1gd+/erVXkCCEQERGBLVu2YN++ffD39y8yH3WxefHiRezZs6dIUefu7q45TKF+/fqa387IyNAcJwsAx48fR0ZGRoVuRfvkfNWjtyUtV3BwcJUV8lUpKCgI1tbWWplTU1Nx5syZIn0hhMCqVaswfPjwci1LWX9j3hKYiCpNrrOVTAHPWDNct27dEp07dxY//vijOHXqlLhy5Yr45ZdfhIeHh3jrrbc07Ro0aCDeeecdkZqaKu7cuSOEEKJ///6iZcuWQqVSibi4ONG3b1/h5OSkdQZxcWcq5+XlCTs7O/HJJ5+ItLQ0ce/evRLzvfPOO6J27dpi69at4sqVK+LIkSMiNDRUNG/eXOTl5RVpX9JZzh988IGwtLQU77//vjh69KhITEwUe/bsEQMGDNCcvZ6SkiIaNWokjh8/XmKen3/+WVhZWYlvv/1WpKamah5PLsMff/whLC0txbx588S5c+fEvHnzhJWVldaZ4++8845wcXERBw4c0JrPgwcPNH3Ur18/4ePjI+Li4rTa5OTklJhPCCF69eolWrRoIWJiYkRMTIxo3ry56NOnj1abixcvCpVKJUaPHi0aNmwoVCqVUKlUpc77ypUrwt7eXrz33nsiPj5erFixQlhbW4tNmzZp2uTk5Gjm5eXlJSZPnixUKpW4ePFiqZnPnj0rVCqV6Nu3r+jUqZNmHk9STwsKChJDhw4VKpVKnD17VvP58ePHRaNGjURKSopm2pgxY4SPj4/Ys2eP+Ouvv0SXLl1EYGCgyM/P15r3nj17BAARHx9fbL4uXbqIRYsWad6X52+8fv16YW1tLVasWCHi4+PFxIkThYODg0hMTCy1L4iMHf/NfzYsOJ8BVz7D9ejRIzFlyhTx3HPPCRcXF2Fvby8aNWokPvzwQ03xI4QQ27dvF/Xr1xdWVlaayyIlJCSIzp07Czs7O+Hr6ysWL15c5JI1JV0a5/vvvxe+vr7CwsKixMsiqfPNmTNHNGnSRNjZ2Qk/Pz8RHh4uUlNTi21f2mV1NmzYIF544QXh5OQkHBwcRIsWLcScOXM0l0VKSEgQAMT+/ftLzBMaGlrksk4ARFhYmFa7jRs3ikaNGglra2vRuHFjsXnzZq3Pi5sHALFq1SqtLMU9SssnhBC3b98Wb7zxhnBychJOTk7ijTfeKHLpp5KWIyEhodR5HzhwQLRq1UrY2NiIOnXqiKVLl2p9XlLu0v7GQhS99Jb6UVafqddFIR5fRuvJZXj48KGIiIgQ1atXF3Z2dqJPnz4iKSmpyO+//vrron379qXme/oyXGX9jYUQ4ttvvxV+fn7CxsZGPPfcc6Ve9orIVPDf/GejEOL/j46nCktJSYGvry+Sk5OLPU6NiIiITAP/zX82PIaTiIiIiHSKBScRERER6RQLTiIiIiLSKRacRERERKRTLDiJiIiISKdYcBIRERGRTrHgJCIiIiKdYsFJRERERDrFgpOIiIiIdIoFJxERERHpFAtOIiIiItIpFpxEREREpFMsOImIiIhIp1hwEhEREZFOseAkIiIiIp1iwUlEREREOsWCk4iIiIh0igUnEREREekUC04iIiIi0ikruQMQEZHhSk4GTp0CfHyAli3lTkNExsrkRjgTExMxYsQI+Pv7w87ODvXq1cPMmTORm5ur1U6hUBR5LFu2TKbURESGac8eoG9fYPp0uZMQkTEzuRHO8+fPo7CwEP/5z39Qv359nDlzBqNGjUJ2dja++OILrbarVq1Cr169NO9dXFz0HZeIyKBlZUnPTk7y5iAi42ZyBWevXr20isi6devin3/+wdKlS4sUnNWqVYOnp6e+IxKRzIQQuPngJtwd3OWOYvAyM6VnFpxE9CxMbpd6cTIyMlC9evUi0yMiIuDm5obWrVtj2bJlKCwsLHU+OTk5yMzM1Dyy1P/rT0RGISUzBXMPzUWDRQ3Qd11fueMYBY5wElFVMLkRzqddvnwZixYtwoIFC7Smf/zxx+jatSvs7Oywd+9eTJo0Cbdu3cKHH35Y4ryioqIwe/ZsXUcmoiqUk5+D//7zX6xUrcTuy7shIAAAN7JvIO1+GjwduZejNHl50rO1tbw5iMi4GU3BOWvWrDKLvRMnTiA4OFjz/vr16+jVqxcGDhyIkSNHarV9srBs+f+nXs6ZM6fUgnPq1KmIjIzUvL927RoCAgIqshhEpCeqVBVWqlZi7em1uPvormb6C34v4K2Wb2FAwAA42DjImNA42NhIz+rCk4ioMoym4IyIiMCQIUNKbVOnTh3N6+vXr6Nz584ICQnBd999V+b827Vrh8zMTNy4cQMeHh7FtlEqlVAqlZr3meqDm4jIYOy5sgeTd0/GqRunNNN8nH0QFhiG8JbhqF+9vozpjI96k5eTI28OIjJuRlNwurm5wc3NrVxtr127hs6dOyMoKAirVq2ChUXZh6qqVCrY2tqiWrVqz5iUiOQ0Zc8UnLpxCpYKS7wW8BreavkWutXtBksLS7mjGSX1rnSOcBLRszCagrO8rl+/jk6dOqF27dr44osvcPPmTc1n6jPSf/31V6SlpSEkJAR2dnbYv38/pk+fjrfffltrBJOIjM+41uPw1va3UCgKMaLVCPSo10PuSEYtP1965jGcRPQsTK7g3L17Ny5duoRLly7Bx8dH6zMhpJMFrK2tsWTJEkRGRqKwsBB169bFnDlzMG7cODkiE1EV+lerf+Fo8lEsVy3H0M1DEft2LPyq+ckdy2ip75nBgpOInoXJXRYpPDwcQohiH2q9evWCSqVCVlYWsrOzcfr0aUyYMAFWViZXfxOZpUUvLUKQVxBuP7yNgRsHIiefByBWlnpXuvrkISKiyjC5gpOIyNbKFpsGbUJ1u+o4cf0EInZEoFCUfp1dKh5HOImoKrDgJCKTVKdaHax9dS0UUGC5ajkG/DIAWTm8WUNF8TqcRFQVWHASkcnqVb8XVr28CjaWNth6fivaLm+LC7cvyB3LqKhHOLlLnYieBQtOIjJpYS3DcCj8ELydvHHu1jm0+b4Nfrvwm9yxjAZHOImoKrDgJCKT19anLWLfjkUH3w7IyMlAv/X9cDzluNyxjAKP4SSiqsCCk4jMgqejJ/aF7cMrjV9BoSjE1L1Tta5eQcVTKKRndhURPQsWnERkNmwsbfBVr69gY2mD/Yn7sefKHrkjGTz1yKb6AvBERJXBgpOIzEptl9oYGzwWADBt3zSOcpaBt7YkoqrAgpOIzM60jtPgaOOIk9dPYsu5LXLHMWgsOImoKrDgJCKzU9OhJia2nQgAWPTnInnDGDgWnERUFVhwEpFZupF9AwBQw76GzEkMm/rYTd75l4ieBQtOIjI7affT8MOpHwAA77V7T+Y0hi3n/29Dzwu/E9GzYMFJRGZn8Z+LkVOQg3Y+7dDBt4PccQyauuBUKuXNQUTGjQUnEZmdX87+AgCY2HYiFOoLTVKxeKchIqoKLDiJyKxcuXsFF+9chJWFFV5s8KLccQye+qpRrMuJ6Fmw4CQis7Lr0i4AQHvf9nBWOsucxniw4CSiZ8GCk4jMyq7LUsHZs15PmZMYB14Xn4iqAgtOIjIbeQV52JewDwDQqU4necMYGY5wEtGzYMFJRGYjtyAXAtKQ3ahfR+HC7QsyJzJ8ubnSM6/DSUTPggUnEZkNBxsHRA+LhreTN+JvxqP1962x/Z/tcscyaJmZ0rOLi7w5iMi4seAkIrPSzqcdYt+ORcfaHZGZk4mX17+Mjw9+LHcsg5WRIT2z4CSiZ8GCk4jMjqejJ/YO34t327wLAJhxYAZOpZ2SOZVhUo9wOvOEfiJ6Biw4icgsWVta45sXv0H3ut0BAH8k/yFzIsP08KH0bG8vbw4iMm4sOInIrLWt1RYAcOL6CZmTGKZHj6RnW1t5cxCRcWPBSURmrYVHCwBAXFqcvEEMlLrg5L3UiehZsOAkIrO27sw6AEA913oyJzE8QnCXOhFVDRacRGS2/kj6A1vPb4WFwgJzOs+RO47Bycl5fKchFpxE9CxYcBKRWRJC4P3o9wEAI1qNQEDNAJkTGZ4HDx6/ZsFJRM+CBScRmaUt57YgJiUG9tb2mNVpltxxDFJ2tvRsY8M7DRHRs2HBSURmKepIFACgmXszWCi4KSyOeoTTzk7eHERk/ExyK1unTh0oFAqtx5QpU7TaJCUloW/fvnBwcICbmxvGjx+PXPVNg4nI5DV1bwoA+PPan6j7dV1M2jUJaffTZE5lWNRnqLPgJKJnZZIFJwDMmTMHqampmseHH36o+aygoAC9e/dGdnY2jhw5gvXr12Pz5s2YNGmSjImJSJ9Wv7waO9/Yiba12uJh/kMsPLYQ/l/7I3JXJAvP/6f+f3AbG3lzEJHxM9mC08nJCZ6enpqHo6Oj5rPdu3cjPj4eP/30E1q1aoVu3bphwYIF+P7775Gpvo8bEZk0hUKBnvV7ImZEDHa+sRPtfNrhUf4jfHnsS/h/7Y/vY7+XO6LscnKkZ16Dk4ielckWnJ999hlq1KiBli1bYu7cuVq7y2NiYtCsWTN4e3trpvXs2RM5OTmIjY2VIy4RyURdeH7X5zvNtTgf5T/Cf//5r8zJ5Ke+BifvMkREz8okzzucMGECnnvuObi6uuLPP//E1KlTkZCQgOXLlwMA0tLS4OHhofUdV1dX2NjYIC2t5F1pOTk5yFH/Lz+ArKws3SwAEenN1XtXMfPATPxw6gcICFgqLDHyuZG8LicA9SbO2VneHERk/Iym4Jw1axZmz55dapsTJ04gODgY7733nmZaixYt4OrqigEDBmhGPQFpVONpQohip6tFRUWVmYGIjMPtB7fx6eFPsfjEYuQWSHtABgQMwNwuc9GwRkOZ0xkG9RFGLDiJ6FkZTcEZERGBIUOGlNqmTp06xU5v164dAODSpUuoUaMGPD09cfz4ca02d+/eRV5eXpGRzydNnToVkZGRmvfXrl1DQAAvFk1kTLJzs/HVsa/w+dHPkZkjVVSd63TGvG7z0KZWG5nTGRYWnERUVYym4HRzc4Obm1ulvqtSqQAAXl5eAICQkBDMnTsXqampmmm7d++GUqlEUFBQifNRKpVQPnH0PE8wIjIuf177Ey+vf1lzFnqgRyA+6/YZetTrUereDXOl3qXu5CRvDiIyfkZTcJZXTEwMjh07hs6dO8PFxQUnTpzAe++9h379+qF27doAgB49eiAgIADDhg3D/PnzcefOHUyePBmjRo2CM/9XnshkRV+O1hSbCijwgt8L8Hf1Z7FZgps3pWdXV3lzEJHxM7mz1JVKJTZs2IBOnTohICAAM2bMwKhRo7Bu3TpNG0tLS/z222+wtbVFhw4dMGjQIPTv3x9ffPGFjMmJSNfe7/A+vur5FRpUbwABgUV/LkKjxY3w4toX8duF31BQWCB3RINy+bL0XLeuvDmIyPgphBBC7hDGKiUlBb6+vkhOToaPj4/ccYionApFIaIvR2PxicX47cJvEJA2g3Vd62JC2wl4t827HPUEEBAAnDsH7N4NdO8udxoiefHf/GdjciOcREQlKRSFSLibgB0Xd+DUjVOoblcd3k6Pr8d75e4VTNg5Absv75YxpWG4ehW4dEl6Xb++vFmIyPiZ3DGcRESFohBX713F2ZtnEX8zHmdvnsXZ9LM4d+scHuQ9KPY7NpY2aFSjEUJ8QtDWp62eExueiROBvDwgNBQo4QIgRETlxoKTiIzWsxSWTd2bomnNpgioGYCmNZuiXvV6sLLgJhEAduwAtm0DLC2Bb78FeHQBET0rbl2JyOCxsNSfR4+A8eOl1xMnAk2byhqHiEwEt7pEpBNCCOQX5iO3IBc5BTnIyc/Rep1T8P/vi3mdk5+D2w9vs7DUAyGAO3eAtDTpsXGjdHa6tzcwc6bc6YjIVHBrTGTkhBDIK8wrtXirbNGnaVuBeT75Wn32d1VgYVkx2dmPi8jSHjduSMdqPm3hQl7wnYiqDrfSROUkhEBuQe6zF28lvX6G4tAYKKCA0koJpaUSNpY2mtdKq/9//9RrF1sXNHFrwsLyCfn5QHp62UVkaipw/37F5l29OuDpKT06dgQGDdLNMhCReTLvrTcZLCEEsvOy8TDvYaULuVK/V4l55hbkyt0t5WKpsNQq6Ep6XVKhV+pnT70ubf5P/5alwpLXtiyGEMC9e0ULxuIKyVu3pPblZWcHeHk9LiRLeri7A0/ctZeIqMqx4CS9y8rJwvWs65pH6v3UYt+XdMyeobCysCp38fV0QVfhIrACxZ2lhaXcXUMAHj4s3y7ttDQgtwL/L2NhAXh4lF1EenpKu8RZ4xORIWDBSVXmfu59qWDMKr6AVD+y87IrNF9rC+vKj6xVsrgr67dsLG1Y2JmxrCzpDjznzwPXrxdfRGZkVGye1aqVbzSyRg3pckVERMaEBSeVKTs3W6to1BSU97XfZ+VmlXueLkoXeDl5wdvJW3o4emu/d/KGh4MH7KztYKHgDbFIHllZQHy89Dh79vFzUlL5vq9Ulq+I9PAAbG11uyxERHJiwWnGHuY9LLo7OytVU0iqH5k5meWep5ONk6Zg9HLygrejt/Z7J294OXrBwcZBh0tGVDGZmdKI5ZNF5dmzQHJyyd/x9JTuNV67dsmFpLMzd2kTEQEsOE1STn5OmcdHXs+6jnuP7pV7ng7WDlqjj+rCUeu9kxccbRx1t2BEzygzs/gRy9IKSy8vqbBs2lT7uXp1/eUmIjJ2LDhNzNHko+j2Qzc8zH9YrvZ2Vnao5Vyr+ALyifdOSl6Qj4yTEMChQ9J1JX/9teSzvL28pGLyycKySRMWlkREVYEFp4lZ/tdyPMx/CKWlUlNIlnSMpJejF5yVzrxUDZmkvDzprjkLFgB//fV4urd30dHKgADA1VW+rEREpo4FpwkpKCzA/y78DwDw+xu/o7N/Z5kTEenf3bvA998D33wDXLsmTbO1BcLDpXuDN2okZzoiIvPEgtOEHL92HDcf3EQ122p4vvbzcsch0qsrV4CvvwZWrJBu6whIZ39HRABjxgBubvLmIyIyZyw4Tcj2f7YDAF5q8BKsLa1lTkOke0IAR49Kx2du2wYUFkrTmzcHIiOB11/nHXSIiAwBC04Toi44+zXsJ3MSIt1TqaSi8sCBx9N69ZKmdevGyxERERkSFpwmIj07HedunQMA9KjXQ+Y0RLpz/TowfTqwZo00wmljAwwbBrz3nnQSEBERGR4WnCbiWMoxAEBAzQC42vF0WzI9Dx5IZ5x/9tnjYzSHDgWioqSLrxMRkeFiwWkijiYfBQCE+ITInISo6u3bB4SFASkp0vuQEOm4zXbt5M1FRETlw4LTBJxNP4slJ5YAAF7we0HmNERVKzkZeO014N49wM9PGuEcNIjHaBIRGRMWnEbu9oPb6Le+H7JysxDqF4ohzYbIHYmoyhQUAG++KRWbbdpIJwjZ2cmdioiIKspC7gBUeXkFeRi0aRCu3L2COtXqYNOgTbCxtJE7FlGV+ewz6baUjo7Azz+z2CQiMlYsOI3Ye7vew76EfXC0ccT2IdvhZs8rW5Pp+PNPYOZM6fXixUC9evLmISKiymPBaaRWqlbi2xPfAgB+euUnNPdoLnMioqqTmSmdgZ6fDwweDAwfLnciIiJ6Fiw4jZT6JKEZL8zAy41fljkNUdXJywMGDgQuX5Yud7RsGU8QIiIydiw4jVROQQ4AnpVOpkUIYOxYYPduwN4e2LwZqFZN7lRERPSsWHASkcGIigKWLwcsLID164HgYLkTERFRVeBlkYzUw7yHAAAF9zWSCRAC+Pxz6ZaVAPDNN0DfvvJmIiKiqmNyI5wHDhyAQqEo9nHixAlNu+I+X7ZsmYzJy+/czXO4fPcyrCysEOgRKHccomdSWAhMmgRMmSK9nz4dGDdO3kxERFS1TG6Es3379khNTdWa9tFHH2HPnj0Ifmr/3KpVq9CrVy/NexcXF71kfFY/n/4ZANCrfi/UsK8hcxqiysvNBf71L+kam4B0r/TISHkzERFR1TO5gtPGxgaenp6a93l5edi+fTsiIiKK7H6uVq2aVltjIITAz2ekf53faP6GzGmIKu/+fWDAAGDXLsDKCli1SrqrEBERmR6T26X+tO3bt+PWrVsIDw8v8llERATc3NzQunVrLFu2DIWFhfoPWEF/XvsTV+5egYO1A/o25EFuZJxu3QK6dpWKTXt74NdfWWwSEZkykxvhfNqKFSvQs2dP+Pr6ak3/+OOP0bVrV9jZ2WHv3r2YNGkSbt26hQ8//LDEeeXk5CAnJ0fzPisrS2e5S7IxfiMA4JUmr8DBxkHvv0/0rH77DXj7beD6daBGDel927ZypyIiIl0ymhHOWbNmlXgykPpx8uRJre+kpKRg165dGDFiRJH5ffjhhwgJCUHLli0xadIkzJkzB/Pnzy81Q1RUFFxcXDSPgICAKl3G8ohLiwMAdKnTRe+/TfQs7t2Tjtfs00cqNhs2BA4fZrFJRGQOjGaEMyIiAkOGDCm1TZ06dbTer1q1CjVq1EC/fv3KnH+7du2QmZmJGzduwMPDo9g2U6dOReQTZzRcu3ZN70Vn/M14AEBT96Z6/V2iZ/H778CoUcC1a9JdgyIjgY8/Buzs5E5GRET6YDQFp5ubG9zc3MrdXgiBVatWYfjw4bC2ti6zvUqlgq2tLaqVclsTpVIJpVKpeZ+ZmVnuPFXh7sO7SL0vnYHfxK2JXn+bqDIyMqTicuVK6X2DBtLJQR06yJuLiIj0y2gKzorat28fEhISit2d/uuvvyItLQ0hISGws7PD/v37MX36dLz99ttaBaWhUY9u+jr7wknpJHMaopIJIY1qjh4NpKRIo5oTJwKffCKdJERERObFZAvOFStWoH379mjSpOhIoLW1NZYsWYLIyEgUFhaibt26mDNnDsYZ+NWmz906BwBoUpOjm2SYEhOBH38EfvgBuHRJmla/vjTC2bGjrNGIiEhGJltw/qy+knQxevXqpXXBd2ORdj8NAFDbubbMSYgey8wENm2SisyDBx9Pt7eXRjg//hhw4AUViIjMmskWnKbo1oNbAAA3+/Ify0qkCwUFwN69wJo1wNatwMOH0nSFAujcGQgLA159FXB0lDcnEREZBhacRiThXgIA8HaWJJvLl6Xd46tXS5c2UmvUSCoy33gDqM0BeCIiegoLTiMx99BcbP9nOwAg2Du4jNZEVefRI2DLFmD5cmD//sfTq1cHXn8dGD4caN1aGt0kIiIqDgtOI/DZkc/w4X7pDkifdfsMnep0kjcQmYVTp6Qic+1a4O5daZpCAfToAYwcCfTtCxjwRR2IiMiAsOA0cAuOLsCUvVMAAHO7zMUHHT6QORGZsowMYP16qdB88sZdtWsDb70l3SmIu8yJiKiiWHAasK+PfY3J0ZMBALM7zca0jtNkTkSmSAjgyBFgxQrgl18enwBkbQ307y+NZnbtClhayhqTiIiMGAtOA7U5fjMm7poIAPjohY8wI3SGvIHI5BQUSKOZc+cC5849nh4QIBWZb74J1KwpXz4iIjIdLDgN1D+3/wEA2FnZ4a1Wb8mchkxJfr5UaH78MXDhgjTNwQEYMgQYMQJo144nABERUdWykDsAFe+9du8hyCsID/Mf4pUNr+BB3gO5I5GRy8+X7gIUEAAMGyYVmzVqAJ9+Kl3iaPlyICSExSYREVU9FpwGys7aDlsGb0FN+5qIS4vD27++LXckMmKbN0uF5vDhwMWLUqEZFQUkJABTpwLOznInJCIiU8aC04DVdqmNjQM3wkJhgbWn1+Ja5jW5I5GRefQIeOcdYMCAx4XmvHlSoTllCuDkJHdCIiIyBzyG08CF1glFNdtquPPwDjJzMlELteSOREbi8mVg4EBApZJ2k0+ZAkybxttNEhGR/rHgNAI2ljYAgNyCXJmTkLHYulW6ZmZGBuDmBvz0E9Czp9ypiIjIXHGXuhGwtrAGAOQV5smchAxdbi4QGQm8+qpUbLZvL41wstgkIiI5seA0AtaWUsHJEU4qTWIiEBoKfPml9H7SJODAAcDHR85URERELDiNghBC65noSYWFwNKlQLNmwLFjQLVqwLZtwBdfSHcLIiIikhuP4TRweQV5SM5MBgD4VfOTOQ0ZmqtXpYu1790rve/YEVizBvD3lzcXERHRkzjCaeAS7yUivzAf9tb28HbyljsOGQghgP/8RxrV3LsXsLMDvvpK2oXOYpOIiAwNRzgNXMK9BACAm70bFOAtYEgyfz7w739Lr59/Hli5EmjQQN5MREREJeEIp4FrWrMpbK1skZSRhO9iv5M7DhmAjAzpLkEAMHu2NKrJYpOIiAwZC04DV8u5FqK6StXFpN2TkHA3QeZEJLdFi4B794AmTYDp0wFLS7kTERERlY4FpxEY33Y8OtbuiOy8bLy1/S0UikK5I5FMMjOBhQul1x99xGKTiIiMAwtOI2ChsMCql1fB3toeBxIP4Ns/v5U7Eslk8WLg7l2gcWNg0CC50xAREZUPC04jUa96PcztMhcAMGXvFGTnZsuciPQtJ+fx6OaHH3J0k4iIjAcLTiMhhMDBqwcBAF6OXlBaKWVORPq2fz9w+zbg5QUMGSJ3GiIiovJjwWkkvjn+Dbad3wYbSxtsGLABVha8opW52bZNeu7fn6ObRERkXFhwGoEz6WfwfvT7AIAvun+BIO8gmRORvhUWAv/9r/S6f39ZoxAREVUYC04jsP2f7cgrzEO3ut0Q0SZC7jgkg+PHgbQ0wNkZ6NRJ7jREREQVw4LTCNx5eAcA0NKjJRQK3m3I3BQWPj5ZqHdvwMZG3jxEREQVxYLTCKgLzup21WVOQvomBPDOO8CmTdJxm++8I3ciIiKiimPBaQTuProLAHC1c5U5CemTEMDEicB33wEKBfDTT0DHjnKnIiIiqjijLDjnzp2L9u3bw97eHtWqVSu2TVJSEvr27QsHBwe4ublh/PjxyM3N1Wpz+vRphIaGws7ODrVq1cKcOXMghNDDElQMRzjNT34+EBkJfPON9H7lSl4KiYiIjJdRXlsnNzcXAwcOREhICFasWFHk84KCAvTu3Rs1a9bEkSNHcPv2bYSFhUEIgUWLFgEAMjMz0b17d3Tu3BknTpzAhQsXEB4eDgcHB0yaNEnfi1Squw//f4TTliOc5uDWLam43LtXer9kCRAeLmskIiKiZ2KUBefs2bMBAKtXry728927dyM+Ph7Jycnw9vYGACxYsADh4eGYO3cunJ2dsXbtWjx69AirV6+GUqlEs2bNcOHCBSxcuBCRkZEGdXIORzjNx8mTwGuvAUlJgIODNLLJW1gSEZGxM8pd6mWJiYlBs2bNNMUmAPTs2RM5OTmIjY3VtAkNDYVSqdRqc/36dSQmJuo7cql4DKd5WLkSeP55qdhs0EC6FBKLTSIiMgUmWXCmpaXBw8NDa5qrqytsbGyQlpZWYhv1e3Wbp+Xk5CAzM1PzyMrK0kH6p34zPwcP8h4A4AinqcrJAUaPBkaMkF6//DJw4gTQtKncyYiIiKqGwRScs2bNgkKhKPVx8uTJcs+vuF3iQgit6U+3UZ8wVNLu9KioKLi4uGgeAQEB5c5TWerRTQUUcFY66/z3SL9On5bOPFefif7JJ8CWLYCLi9zJiIiIqo7BHMMZERGBIWWchlunTp1yzcvT0xPHjx/Xmnb37l3k5eVpRjE9PT2LjGSmp6cDQJGRT7WpU6ciMjJS8/7atWs6LzpvZt8EII1uWigM5v8P6BllZACzZgGLFgEFBYCrK7BuHdCzp9zJiIiIqp7BFJxubm5wc3OrknmFhIRg7ty5SE1NhZeXFwDpRCKlUomgoCBNm2nTpiE3Nxc2/3/rlt27d8Pb27vEwlapVGod85mZmVkleUtzLesaAKCWcy2d/xbpnhDAzz8DkydLt6oEpJOEvvwS8PWVNxsREZGuGOWQWVJSEuLi4pCUlISCggLExcUhLi4O9+/fBwD06NEDAQEBGDZsGFQqFfbu3YvJkydj1KhRcHaWdksPHToUSqUS4eHhOHPmDLZu3YpPP/3U4M5Qv5b5/wWnEwtOY3fmjHQf9DfflIrNBg2AXbukuwix2CQiIlNmMCOcFTFjxgysWbNG875Vq1YAgP3796NTp06wtLTEb7/9hrFjx6JDhw6ws7PD0KFD8cUXX2i+4+LigujoaIwbNw7BwcFwdXVFZGSk1i5zQ5CSmQKABacxy8wEZs8Gvv5a2n1uZwd8+CEwaRLwxIA5ERGRyTLKgnP16tUlXoNTrXbt2vjf//5XapvmzZvj0KFDVZis6nGXunHbtQv417+A1FTp/SuvSLvP/fzkzUVERKRPRrlL3ZzYWdkBALae36q5PBIZPiGATz8FXnxRKjbr1wd27JDOQGexSURE5oYFp4H79/P/hruDO/6+8TcidkTIHYfKIStLOhFo+nSp8Hz7benyRy++KHcyIiIiebDgNHDeTt5Y/9p6WCgssCpuFVb8VfTe8WQ4Ll4E2rYFtm4FbGyA778H/vMfwNZW7mRERETyYcFpBDr7d8bsTtL94z898qnMaagkWVlAr17AuXNArVrAoUPAyJFypyIiIpKfUZ40ZI78XKQD/9zsq+ZapVT1JkwArlyRjtE8dgzw9JQ7ERERkWHgCKeR2J+4HwDQya+TvEGoWJs3A6tWSben/PFHFptERERPYsFpJA4kHgAg7V4nw3LtGjBqlPR6yhTp3uhERET0GAtOI3D13lUk3EuApcISHXw7yB2HnpCfD4SHA3fvAkFB0v3RiYiISBsLTiNwNPkoACDIOwhOSieZ05DaiRNA69bAnj3S3YN++kk6M52IiIi0seA0AunZ6QAA/2r+MichAMjIAN59V7r8UVwc4OoKrF0LNG4sdzIiIiLDxILTCNx9dBcAUM22mrxBzJwQwKZNQEAAsHix9P7NN4Hz56VbVhIREVHxeFkkI3Dv0T0AgKutq7xBzFhiIhARAfz2m/S+fn1g6VKgWzdZYxERERkFjnAaAY5wykcI4IsvgKZNpWLT2hqYMUO6VSWLTSIiovLhCKcRyMzJBAA4K51lTmJ+NmwA3n9feh0aCixbxmM1iYiIKoojnEaghl0NAMCtB7dkTmJ+fv5Zen73XWD/fhabRERElcGC0wjUdqkNAEjKSJI5iXnJzAR27ZJejx4t3UWIiIiIKo4FpxHwcfYBACRlsuDUl9OngbAwIDdXGtUMCJA7ERERkfHiMZxGICY5BgDg4eAhcxLT98cfwLx5wP/+93japEkc3SQiInoWHOE0cHce3sHa02sBAKODRsucxjQJAfz+O/DCC8Dzz0vFpkIBDBwInDwJjBwpd0IiIiLjxhFOA7dKtQoP8x+ipWdLtPdtL3cck5KfL13Ifd484NQpaZq1tbQr/f33gYYN5c1HRERkKlhwGrCCwgIsObkEADCu9TgouF+3Sjx6BKxZA3z+OXDlijTNwQEYMwZ47z2gVi158xEREZkaFpwGbG/CXly5ewXVbKthaPOhcscxeqdPA6tWAT/9BNy8KU2rUQOYMAEYNw6oXl3efERERKaKBacBS8lMAQC0rdUW9tb2MqcxTnfvAuvWSYXmyZOPp/v6ApMnAyNGSKObREREpDssOA2Yp6MnAODmg5syJzEuBQXAnj1SkbltG5CTI023tgb69gX+9S+gVy/Aims/ERGRXvCfXAOmLjjT7qfJnMQ4XLokFZk//ACkpDye3qIF8NZbwBtvAG5u8uUjIiIyVyw4DZi64Lxx/wYKRSEsFLyK1dPu3wc2bpQKzcOHH0+vXh0YOlQazWzVitfRJCIikhMLTgOmgFQlFYgC3H5wGzUdasqcyHCcOQN8+610AtD9+9I0CwugZ0+pyOzXD1Aq5c1IREREEhacBirhbgJ6/tQTgHRrS1c7V5kTyS8vTzomc/Fi4NChx9MbNpSKzGHDeEkjIiIiQ8SC0wDFpcXhxbUvIu1+Gvxc/LDrzV2wsjDfP1VqKvDdd9Lj+nVpmqUl0L8/EBEBhIZylzkREZEhM98qxkDtS9iH/uv7Iys3C83dm2Pnmzvh7eQtdyy9E0I6JvPbb4EtW6S7AgGAhwfw9tvSw8dH3oxERERUPiw4DcgvZ3/BsK3DkFuQi1C/UGwbsg3VbKvJHUuv7t+XjstcskS6ULtahw7SaOarrwI2NvLlIyIiooozytOe586di/bt28Pe3h7VqlUr8vmpU6fw+uuvw9fXF3Z2dmjSpAm+/vprrTaJiYlQKBRFHjt37tTTUmjbeWknhmwaoik2d76506yKzQsXgIkTpWMw33lHKjbt7YFRo4C4OODIEWDIEBabRERExsgoRzhzc3MxcOBAhISEYMWKFUU+j42NRc2aNfHTTz/B19cXR48exdtvvw1LS0tERERotd2zZw+aNm2qeV9dpvsbZudmQ0AAAA5ePYhXNryCD9p/gE51OpnsPdQLCoDff5dOAtq16/H0Bg2AsWOB8HCgmP+fICIiIiOjEEIIuUNU1urVqzFx4kTcu3evzLbjxo3DuXPnsG/fPgDSCKe/vz9UKhVatmxZqd9PSUmBr68vkpOT4VMFBxSevH4S84/Ox6b4TSgUhQCAYO9gvN/+fbza5FWTOXHo9m1g5Uppt3liojRNoQB695Z2m3fvLl3iiIiIyFBU9b/55sZs/lnPyMgodvSyX79+cHd3R4cOHbBp06ZS55GTk4PMzEzNIysrq0ozBnsHY8OADbgQcQHjWo+DnZUdTl4/icGbBqPR4kb47cJvVfp7+paTA4wbJ53s88EHUrHp6ird0/zSJeDXX6XraLLYJCIiMi1m8U97TEwMfvnlF4wePVozzdHREQsXLsSmTZuwY8cOdO3aFYMHD8ZPP/1U4nyioqLg4uKieQQEBOgkb73q9bD4pcVIei8Js0JnoYZdDVy5ewUzD8zUye/py9mz0qjmo0eAry+wfLl0C8r584G6deVOR0RERLpiMAXnrFmzij2J58nHyZMnKzzfs2fP4uWXX8aMGTPQvXt3zXQ3Nze89957aNOmDYKDgzFnzhyMHTsWn3/+eYnzmjp1KjIyMjSP+Pj4Si1rebnZu2Fmp5n45sVvAABOSied/p6utWol3c8cAG7eBBo1kk4MIiIiItNmMAcFRkREYMiQIaW2qVOnToXmGR8fjy5dumDUqFH48MMPy2zfrl07LF++vMTPlUollE/cLzEzM7NCeSrrxv0bAB7fW91YKRTSPc/v3QN++w3o0wc4eBAIDJQ7GREREemSwRScbm5ucHNzq7L5nT17Fl26dEFYWBjmzp1bru+oVCp4eXlVWYaqciNbKjg9HDxkTvLsrK2BX36RjtU8cuTxc/36cicjIiIiXTGYgrMikpKScOfOHSQlJaGgoABxcXEAgPr168PR0RFnz55F586d0aNHD0RGRiItLQ0AYGlpiZo1awIA1qxZA2tra7Rq1QoWFhb49ddf8c033+Czzz6Ta7FKZEoFJyDtRv/1V6BTJ+DUKems9BMngCr8/w0iIiIyIEZZcM6YMQNr1qzRvG/VqhUAYP/+/ejUqRM2btyImzdvYu3atVi7dq2mnZ+fHxLV1+EB8Mknn+Dq1auwtLREw4YNsXLlSrz55pt6W47yEELg5HXp2FUfZ9O5DENBAdCwoVRwJiYC+/cDAwfKnYqIiIh0waivwyk3fVyT60DiAXRe0xn21va4FnnN6O8+JATw44/ApEnArVvStLffBhYt4l2EiIjIcPE6nM/GKEc4zcmiPxcBAIa3GG70xeaFC9JtK///2vto2hT4z3+k+6QTERGR6TKYyyJRUVfvXcW289sAABFtIkpvbMBycoDZs4HmzaVi084OiIoC/vqLxSYREZE54AinAVt6cikKRSG6+HdBU/emZX/BAJ05A7z2mjS6CUhnpS9Zwgu9ExERmROOcBqwA4kHAADN3ZvLG+QZvPuuVGx6egLr1wO//85ik4iIyNyw4DRgE9tNBAAs/nOx5kx1Y3LzJnDokPT6jz+AwYOli78TERGReWHBacCGNBuCwU0Ho0AUYNjWYXiY91DuSBXy669AYaF0S0uOahIREZkvFpwG7tuXvoWXoxfO3zqPZSeXyR2nQrZvl57795c1BhEREcmMBaeBq2FfAyNajQAAXLxzUeY05VdYCBw+LL3u2VPeLERERCQvFpxGwNXOFQCQkZMhc5Ly++cf4M4d6RJIzz0ndxoiIiKSEwtOI+CidAEAZDwynoLzjz+k5zZtAGtrebMQERGRvFhwGgEXW6ngvPfonrxBKkBdcPLC7kRERMSC0whoRjiNaJf6sWPSc/v28uYgIiIi+bHgNAICAgBgqbCUOUn55eZKz66u8uYgIiIi+bHgNAIP8h4AAOys7WROUn5OTtJzVpa8OYiIiEh+LDiNgPqC7/bW9jInKT8WnERERKTGgtMIqEc4WXASERGRMWLBaQQyczIBAHZWxrNLXX0MZ3a2vDmIiIhIfiw4jcDOyzsBAIEegTInKZ/t24G9ewELC14WiYiIiFhwGrz07HTsvbIXADCk2RCZ05Tt9m1g9Gjp9aRJQKtW8uYhIiIi+bHgNHCb4jehQBSgtXdr1KteT+44ZXr3XSAtDWjSBJgzR+40REREZAhYcBq49WfWAzCO0c3Nm4F16wBLS2DNGsDWVu5EREREZAhYcBqwWw9u4XDSYQDAoKaDZE5TutxcYNw46fW//w20bi1vHiIiIjIcLDgNmI2lDRRQADD8uwzt3QvcuAF4eAAzZsidhoiIiAwJC04D5qx0RnOP5gCAmJQYmdOUbtMm6fm11wClUt4sREREZFhYcBq49j7tAQBHk4/KnKRkeXnAtm3S6wEDZI1CREREBogFp4Fr72v4BeeBA8CdO0DNmkDHjnKnISIiIkPDgtPAqQvO2NRY3M+9L3Oa4v32m/Tcvz9gZSVrFCIiIjJALDgNXF3XuqhfvT5yC3Kx8exGueMUS33f9Hv3ZI1BREREBooFp4FTKBQY0WoEAGCFaoXMaYrXr5/0/PvvQE6OvFmIiIjI8LDgNAJhgWGwVFjij+Q/cO7mObnjFBEUBHh7A/fvA/v2yZ2GiIiIDA0LTiPg5eSFrnW7AgD2JRheRWdhAfTtK73etUveLERERGR4jLLgnDt3Ltq3bw97e3tUq1at2DYKhaLIY9myZVptTp8+jdDQUNjZ2aFWrVqYM2cOhBB6WIKKC/QIBAD8c/sfmZMUr6tUD2P/fnlzEBERkeExynOKc3NzMXDgQISEhGDFipKPa1y1ahV69eqlee/i4qJ5nZmZie7du6Nz5844ceIELly4gPDwcDg4OGDSpEk6zV8Zjd0aAwDO3zovc5LideokPf/9N3DzpnSJJCIiIiLASAvO2bNnAwBWr15dartq1arB09Oz2M/Wrl2LR48eYfXq1VAqlWjWrBkuXLiAhQsXIjIyEgqFoqpjPxNDLzhr1gSaNwdOn5auyzlwoNyJiIiIyFAY5S718oqIiICbmxtat26NZcuWobCwUPNZTEwMQkNDoXziPow9e/bE9evXkZiYWOz8cnJykJmZqXlkZWXpehE0GtVoBABIzkw22Otxdu4sPUdHy5uDiIiIDIvJFpwff/wxNm7ciD179mDIkCGYNGkSPv30U83naWlp8PDw0PqO+n1aWlqx84yKioKLi4vmERAQoLsFeMqxlGMAAEuFpcEeZ/rSS9LzqlXAn3/Km4WIiIgMh8EUnLNmzSr2RJ8nHydPniz3/D788EOEhISgZcuWmDRpEubMmYP58+drtXl6t7m6kCtpd/rUqVORkZGhecTHx1dwKSsnOzcb43aMAwBEhkTCSemkl9+tqB49pF3p+fnAkCFARobciYiIiMgQGMwxnBERERgyZEipberUqVPp+bdr1w6ZmZm4ceMGPDw84OnpWWQkMz09HQCKjHyqKZVKrV3wmZmZlc5TEXMOzsHVjKvwc/HDzNCZevnNylAogO++A06cABISgFGjgA0bpOlERERkvgym4HRzc4Obm5vO5q9SqWBra6u5jFJISAimTZuG3Nxc2NjYAAB2794Nb2/vZypsq9rfN/7GgpgFAIDFLy2Gg42DzIlKV62aVGR26ABs3Ah06wa8/bbcqYiIiEhOBrNLvSKSkpIQFxeHpKQkFBQUIC4uDnFxcbh/XzqZ5tdff8X333+PM2fO4PLly1i+fDmmT5+Ot99+WzNCOXToUCiVSoSHh+PMmTPYunUrPv30U4M7Q33sb2NRIArwapNX0adhH7njlEubNkBUlPR6wgTg4kV58xAREZG8DGaEsyJmzJiBNWvWaN63atUKALB//3506tQJ1tbWWLJkCSIjI1FYWIi6detizpw5GDdunOY7Li4uiI6Oxrhx4xAcHAxXV1dERkYiMjJS78tTkkf5j/BH8h8AgM+7fS5zmooJCZGeHz0CTp0CGjSQNw8RERHJRyEM9ZRnI5CSkgJfX18kJyfDx8enyucvhIDtXFvkFuTi6sSrqO1Su8p/QxcuXwbatQNu3QJefhnYvBmwtJQ7FRERUeXp+t98U2eUu9TNhUKhgJu9dFzrrQe3ZE5TPnfuSJdHunULCAoC1q5lsUlERGTuWHAaOGMqOHNygFdeAS5cAGrXBn79FXAw7HOciIiISA9YcBo4Yyo4x48HDh2SXi9ZAnh5yZuHiIiIDAMLTgNnZSGd1/Uo/5HMScq2Z8/j1336AAEBwKRJ0vScHPlyERERkbxYcBq4xHuJAAA/Fz95g5TDvn3AJ59I1+C0sADOnQMWLgS6dwdq1AD69QOWLgVKuFU9ERERmSgWnAasUBRqCs66rnXlDVMOfn7A9OnAkSPSSUMbNgDh4YCnJ5CdLR3TOXYs4O8PNGkCREYC0dEc/SQiIjJ1RnkdTnORmpWK3IJcWCos4eviK3ecCnF1BQYNkh6FhdK1OH//Hdi5Ezh6FDh/Xnp8+SVgbw906QK8+KL08PeXOz0RERFVJY5wGrCEewkAAF8XX82xnMbIwgJo1QqYNk06qejWLem2l2+9JZ1Y9OAB8L//AePGAXXrAo0bS++JiIjINLDgNGA5+dK+5gd5D5BfmC9zmqpTrRowYACwYgVw7RoQFyfdCvOFF6Rrdv7zDzBkCHDlitxJiYiIqCqw4DRgHf06oqZ9TaRnp2PHxR1yx9EJhQIIDASmTAEOHgRu35YKz+xs6fjPwkK5ExIREdGzYsFpwGwsbRAWGAYAWKFaIXMa/XBxAVavli4Yf/gw8PXXciciIiKiZ8WC08ANDxwOAPjtwm8mtVu9NP7+0uWUAGDqVOCvv+TNQ0RERM+GBaeByymQjuN0tXOFpcJ8bko+ahTQt690yaSBA4F79+RORERERJXFgtPAnUo7BQBo6dkSCoVC5jT6o1AAa9YAdepIJw/961+AEHKnIiIiospgwWng4tLiAACBHoHyBpGBq6t0+SQbG2DbNumanURERGR8WHAauFM3pBFOcyw4ASA4+HGh+e9/SxeNJyIiIuPCgtPA/XP7HwBAI7dGMieRzzvvSHcgys8HZsyQOw0RERFVFAtOA9ewRkMAj4/lNEc3bwLHj0uvu3eXNwsRERFVHAtOA9e9rlRh7b6yW+Yk8nn3XeDOHaBlSyAyUu40REREVFEsOA2cuuDce2UvCgoLZE6jf9u2Ab/8It3ycsUKwNpa7kRERERUUSw4DVzrWq3honTB3Ud3EZsaK3ccvbp3Dxg7Vnr9/vvAc8/JGoeIiIgqiQWngbOysEIX/y4AgIOJB2VOo1/z5wOpqUDDhjxZiIiIyJix4DQC9VzrAQBuZN+QOYn+FBRIF34HgI8/Buzs5M1DRERElceC0whUs60GAMh4lCFvED3avx+4dg2oVg3o10/uNERERPQsWHAaAXXBeS/nnqw59Ek9ujlkCGBrK28WIiIiejYsOI2Ai60LAODeo3vyBtGTrCxgyxbpdViYvFmIiIjo2bHgNAKutq4AgPTsdJmT6F5cHNC1K/DgAdCgAdC2rdyJiIiI6Fmx4DQCgZ7SfdTPpJ/B3Yd3ZU6jGw8eAB98IN07/cQJwNkZ+OYbQKGQOxkRERE9KxacRsDH2QeN3RqjUBTiQOIBueNUud27gWbNpMsgFRQAAwYA584BvXrJnYyIiIiqAgtOI9HNvxsAYM+VPTInqTrp6cCbbwI9ewIJCYCvL7B9O7BxI+DtLXc6IiIiqiosOI1Et7pSwRl9JVrmJFXjhx+AJk2AtWul3eYTJgBnzwJ9+8qdjIiIiKqaURacc+fORfv27WFvb49q1aoV+Xz16tVQKBTFPtLTpRNvEhMTi/18586del6a8mnv2x4AcPHORdx5eEfmNM/mr7+ks8/v/P9ijBoFzJwJODnJm4uIiIh0wygLztzcXAwcOBDvvPNOsZ8PHjwYqampWo+ePXsiNDQU7u7uWm337Nmj1a5Lly76WIQK2315NwDpeE5npbPMaZ5NvXrASy89PiHou+8AT0/g1VelyyHl5Mibj4iIiKqWldwBKmP27NkApJHM4tjZ2cHuiXsh3rx5E/v27cOKFSuKtK1RowY8PT11krMqfXviWwDA6KDRsLIwyj+bhosL8NtvQEoKsG4d8NNPwN9/A1u3So9q1YCBA6XjO59/HrAwyv8tIiIiIjWz+Kf8hx9+gL29PQYMGFDks379+sHd3R0dOnTApk2bSp1PTk4OMjMzNY+srCxdRdaiSlUhJiUGVhZWGPncSL38pj74+ADvvw+cOiU9PvgAqFULuHcP+P57IDQU8PcHpk0D4uPlTktERESVZRYF58qVKzF06FCtUU9HR0csXLgQmzZtwo4dO9C1a1cMHjwYP/30U4nziYqKgouLi+YREBCgj/hYenIpAOC1Jq/B09HwR2Mro0UL4LPPgKtXgX37gLfekq7FmZQEREUBTZsCzz0HLFgg3YmIiIiIjIfBFJyzZs0q8UQf9ePkyZMVnm9MTAzi4+MxYsQIrelubm5477330KZNGwQHB2POnDkYO3YsPv/88xLnNXXqVGRkZGge8XoYdhNCYP2Z9QCArv5ddf57crO0BDp3BlasANLSgF9+Afr1A6ysAJUKmDwZePdduVMSERFRRRjMwYAREREYMmRIqW3q1KlT4fkuX74cLVu2RFBQUJlt27Vrh+XLl5f4uVKphFKp1LzPzMyscJ6KUigUeKnBS9hwdgMmR09Gm1ptNHceMnV2dtKxnJaWwB9/ALdvAzY2QJ8+cicjIiKiijCYgtPNzQ1ubm5VOs/79+/jl19+QVRUVLnaq1QqeHl5VWmGqrDq5VW4nnUdh5MOo9faXjj61lH4u/rLHUvnMjKk63OuWSO9DwwEfvwRaN5c3lxERERUMQZTcFZEUlIS7ty5g6SkJBQUFCAuLg4AUL9+fTg6OmrabdiwAfn5+XjjjTeKzGPNmjWwtrZGq1atYGFhgV9//RXffPMNPvvsM30tRrnZWdth++vb8cKqF3A6/TR6/9wbf7/zt9GfrV6aAweka3UmJUlnqX/wATBrFvDEADMREREZCaOsWGbMmIE16mEvAK1atQIA7N+/H506ddJMX7FiBV599VW4uroWO59PPvkEV69ehaWlJRo2bIiVK1fizTff1Gn2yqpmWw1RXaPQZ10fXM24ikJRKHckncjJAaZPBxYuBIQA6taV7krUoYPcyYiIiKiyFEIIIXcIY5WSkgJfX18kJyfDx8dH57/3r//+C6vjVuOtlm9hxctFrylqCj77DJgyRXo9cqRUePIOREREJDd9/5tvagzmLHUqXcajDPxy9hcAMKlrcT4tNlZ6/ugj6VqcLDaJiIiMHwtOI7HuzDo8yHuAgJoBaOfTTu44OpOaKj3zxCAiIiLTwYLTSCz/S7pc08hWI6FQ34TcxBQWSicJAYABXiyAiIiIKokFpxFQpaoQmxoLawtrDAscJnccnfnsM6ngtLMDmjSROw0RERFVFRacRmCFSjpB6JUmr8DNvmqvVWooDh0CPvxQer14MVCjhrx5iIiIqOqw4DRwD/Me4qe/pfu7j3pulMxpdCM9HXj9dWmX+vDhwL/+JXciIiIiqkosOA3c5nObkZGTgTrV6qCLfxe541S5wkJg2DDg+h+/8KsAAQAASURBVHVpN/qSJYCJHqJKRERktlhwGjj17vQRrUbAQmFaf66bN6XRzN27peM2f/kFcHCQOxURERFVNdOqYExMbkEujiQdAQAMbT5U5jRVJzcX+PJLoEED6S5CALB0KdCsmby5iIiISDeM8taW5uKfW/8gvzAfLkoX+FfzlztOldixA3jvPeDCBel9y5bAV18BoaFypiIiIiJd4ginATuTfgYA0My9mdFfe/PcOeDFF4HevaVi091dupPQyZMsNomIiEwdC04Ddjr9NACp4DRWd+8CEyZIdw7auROwtgYmT5aKzpEjAUtLuRMSERGRrnGXugFTj3A2qtFI5iQVd+kSsHy5NIp55440rV8/4IsvpGM3iYiIyHxwhNOAuTu4AwAWxCxA4r1EecOUQ24usHEj0L27VFR+9plUbAYESGei//e/LDaJiIjMEQtOA/ZZt88QUDMA17KuodsP3ZB2P03uSMW6fBmYMgXw9QUGDQL27JGupdmrF7B1K3DqlFSEEhERkXliwWnAatjXwO43d8O/mj8u372MHj/2wN2Hd+WOBUB7NLN+fWk0Mz0d8PQEpk8HrlwBfv8d6N8fsOKBG0RERGaNBaeBq+VcC9HDouHp6InT6afx0s8v4X7ufdnyXL4MTJ1a/Gjmli1AUhLwySdAnTqyRSQiIiIDw4LTCNSrXg/Rw6LhauuKYynHELYtTJYc77wjjWbOm1f8aOYrr0hnoRMRERE9iQWnkWhasymer/08gMdnr+vTvXvAsmXSa45mEhERUUXw6DojsTBmIX698CusLKywot8Kvf/+8ePSc/360mgmERERUXlxhNMI7EvYhw/2fAAA+LLnl5qRTn06elR6bt9e7z9NRERERo4Fp4FLzkjG4E2DUSgKMazFMIxrPU6WHOqCMyRElp8nIiIiI8Zd6gau9le1Na//3eHfstxT/a+/pLPRAY5wEhERUcVxhNOAFRQWaL0/nHRYlhy3bj1+3bSpLBGIiIjIiLHgNGCWFpa49O4l9KzXE//p8x+MCR4jS4727YE1a4CzZwFLS1kiEBERkRHjLnUDV696Pex8c6esGRwdgeHDZY1ARERERowjnERERESkUyw4iYiIiEinWHASERERkU6x4CQiIiIinTK6gjMxMREjRoyAv78/7OzsUK9ePcycORO5ubla7ZKSktC3b184ODjAzc0N48ePL9Lm9OnTCA0NhZ2dHWrVqoU5c+ZACKHPxSEiIiIyeUZ3lvr58+dRWFiI//znP6hfvz7OnDmDUaNGITs7G1988QUAoKCgAL1790bNmjVx5MgR3L59G2FhYRBCYNGiRQCAzMxMdO/eHZ07d8aJEydw4cIFhIeHw8HBAZMmTZJzEYmIiIhMikKYwJDe/PnzsXTpUly5cgUA8Pvvv6NPnz5ITk6Gt7c3AGD9+vUIDw9Heno6nJ2dsXTpUkydOhU3btyAUqkEAMybNw+LFi1CSkpKue7ok5KSAl9fXyQnJ8PHx0d3C0hERESy4r/5z8bodqkXJyMjA9WrV9e8j4mJQbNmzTTFJgD07NkTOTk5iI2N1bQJDQ3VFJvqNtevX0diYqLeshMRERGZOqPbpf60y5cvY9GiRViwYIFmWlpaGjw8PLTaubq6wsbGBmlpaZo2derU0Wqj/k5aWhr8/f2L/FZOTg5ycnI07zMyMgAAqampVbIsREREZJjU/9YXFhbKnMQ4GUzBOWvWLMyePbvUNidOnEBwcLDm/fXr19GrVy8MHDgQI0eO1Gpb3C5xIYTW9KfbqI8uKGl3elRUVLEZ27RpU2puIiIiMg3JycmoXbu23DGMjsEUnBERERgyZEipbZ4ckbx+/To6d+6MkJAQfPfdd1rtPD09cfz4ca1pd+/eRV5enmYU09PTUzPaqZaeng4ARUZH1aZOnYrIyEjN+zt37sDf3x9nzpyBi4tL6QtoprKyshAQEID4+Hg4OTnJHcfgsH/Kxj4qG/uodOyfsrGPypaRkYFmzZqhSZMmckcxSgZTcLq5ucHNza1cba9du4bOnTsjKCgIq1atgoWF9qGoISEhmDt3LlJTU+Hl5QUA2L17N5RKJYKCgjRtpk2bhtzcXNjY2GjaeHt7F9nVrqZUKrWO+VTz9fWFs7NzeRfVrGRmZgIAatWqxT4qBvunbOyjsrGPSsf+KRv7qGzqfrGyMpjSyagY3UlD169fR6dOneDr64svvvgCN2/eRFpamtZoZY8ePRAQEIBhw4ZBpVJh7969mDx5MkaNGqVZYYYOHQqlUonw8HCcOXMGW7duxaefforIyMhynaFOREREROVjdGX67t27cenSJVy6dKnIZQnUx2BaWlrit99+w9ixY9GhQwfY2dlh6NChmut0AoCLiwuio6Mxbtw4BAcHw9XVFZGRkVq7zImIiIjo2RldwRkeHo7w8PAy29WuXRv/+9//Sm3TvHlzHDp0qNJZlEolZs6cWexudpKwj0rH/ikb+6hs7KPSsX/Kxj4qG/vo2ZjEhd+JiIiIyHAZ3TGcRERERGRcWHASERERkU6x4CQiIiIinWLBSUREREQ6xYKzDLNmzYJCodB6eHp6aj4XQmDWrFnw9vaGnZ0dOnXqhLNnz8qYWPcOHTqEvn37wtvbGwqFAtu2bdP6vDx9kpOTg3fffRdubm5wcHBAv379kJKSosel0K2y+ig8PLzIetWuXTutNqbcR1FRUWjdujWcnJzg7u6O/v37459//tFqY87rUXn6x9zXoaVLl6JFixZwdnaGs7MzQkJC8Pvvv2s+N+f1R62sPjL3dehpUVFRUCgUmDhxomYa16Oqw4KzHJo2bYrU1FTN4/Tp05rPPv/8cyxcuBCLFy/GiRMn4Onpie7duyMrK0vGxLqVnZ2NwMBALF68uNjPy9MnEydOxNatW7F+/XocOXIE9+/fR58+fVBQUKCvxdCpsvoIAHr16qW1Xu3YsUPrc1Puo4MHD2LcuHE4duwYoqOjkZ+fjx49eiA7O1vTxpzXo/L0D2De65CPjw/mzZuHkydP4uTJk+jSpQtefvllTTFgzuuPWll9BJj3OvSkEydO4LvvvkOLFi20pnM9qkKCSjVz5kwRGBhY7GeFhYXC09NTzJs3TzPt0aNHwsXFRSxbtkxPCeUFQGzdulXzvjx9cu/ePWFtbS3Wr1+vaXPt2jVhYWEhdu7cqbfs+vJ0HwkhRFhYmHj55ZdL/I659VF6eroAIA4ePCiE4Hr0tKf7RwiuQ8VxdXUVy5cv5/pTCnUfCcF1SC0rK0s0aNBAREdHi9DQUDFhwgQhBLdDVY0jnOVw8eJFeHt7w9/fH0OGDMGVK1cAAAkJCUhLS0OPHj00bZVKJUJDQ3H06FG54sqqPH0SGxuLvLw8rTbe3t5o1qyZWfXbgQMH4O7ujoYNG2LUqFFIT0/XfGZufZSRkQEAqF69OgCuR097un/UuA5JCgoKsH79emRnZyMkJITrTzGe7iM1rkPAuHHj0Lt3b3Tr1k1rOtejqmV0dxrSt7Zt2+KHH35Aw4YNcePGDXzyySdo3749zp49q7l/u4eHh9Z3PDw8cPXqVTniyq48fZKWlgYbGxu4uroWaaP+vql78cUXMXDgQPj5+SEhIQEfffQRunTpgtjYWCiVSrPqIyEEIiMj8fzzz6NZs2YAuB49qbj+AbgOAcDp06cREhKCR48ewdHREVu3bkVAQIDmH3quPyX3EcB1CADWr1+Pv/76CydOnCjyGbdDVYsFZxlefPFFzevmzZsjJCQE9erVw5o1azQHVysUCq3vCCGKTDM3lekTc+q3wYMHa143a9YMwcHB8PPzw2+//YZXX321xO+ZYh9FRETg77//xpEjR4p8xvWo5P7hOgQ0atQIcXFxuHfvHjZv3oywsDAcPHhQ8znXn5L7KCAgwOzXoeTkZEyYMAG7d++Gra1tie24HlUN7lKvIAcHBzRv3hwXL17UnK3+9P/FpKenF/k/InNRnj7x9PREbm4u7t69W2Ibc+Pl5QU/Pz9cvHgRgPn00bvvvovt27dj//798PHx0UzneiQpqX+KY47rkI2NDerXr4/g4GBERUUhMDAQX3/9NdefJ5TUR8Uxt3UoNjYW6enpCAoKgpWVFaysrHDw4EF88803sLKy0iwj16OqwYKzgnJycnDu3Dl4eXnB398fnp6eiI6O1nyem5uLgwcPon379jKmlE95+iQoKAjW1tZabVJTU3HmzBmz7bfbt28jOTkZXl5eAEy/j4QQiIiIwJYtW7Bv3z74+/trfW7u61FZ/VMcc1uHiiOEQE5OjtmvP6VR91FxzG0d6tq1K06fPo24uDjNIzg4GG+88Qbi4uJQt25drkdVSd9nKRmbSZMmiQMHDogrV66IY8eOiT59+ggnJyeRmJgohBBi3rx5wsXFRWzZskWcPn1avP7668LLy0tkZmbKnFx3srKyhEqlEiqVSgAQCxcuFCqVSly9elUIUb4+GTNmjPDx8RF79uwRf/31l+jSpYsIDAwU+fn5ci1WlSqtj7KyssSkSZPE0aNHRUJCgti/f78ICQkRtWrVMps+euedd4SLi4s4cOCASE1N1TwePHigaWPO61FZ/cN1SIipU6eKQ4cOiYSEBPH333+LadOmCQsLC7F7924hhHmvP2ql9RHXoeI9eZa6EFyPqhILzjIMHjxYeHl5CWtra+Ht7S1effVVcfbsWc3nhYWFYubMmcLT01MolUrxwgsviNOnT8uYWPf2798vABR5hIWFCSHK1ycPHz4UERERonr16sLOzk706dNHJCUlybA0ulFaHz148ED06NFD1KxZU1hbW4vatWuLsLCwIstvyn1UXN8AEKtWrdK0Mef1qKz+4TokxFtvvSX8/PyEjY2NqFmzpujataum2BTCvNcftdL6iOtQ8Z4uOLkeVR2FEELobzyViIiIiMwNj+EkIiIiIp1iwUlEREREOsWCk4iIiIh0igUnEREREekUC04iIiIi0ikWnERERESkUyw4iYiIiEinWHASERERkU6x4CQiIiIinWLBSUREREQ6xYKTiIiIiHSKBScRERER6RQLTiIiIiLSKRacRERERKRTLDiJiIiISKdYcBIRERGRTrHgJCIiIiKdYsFJRERERDrFgrMMS5Ysgb+/P2xtbREUFITDhw+X2v7gwYMICgqCra0t6tati2XLlukpqX5UpD+2bNmC7t27o2bNmnB2dkZISAh27dqlx7S6VdF1Q+2PP/6AlZUVWrZsqduAelbR/sjJycH06dPh5+cHpVKJevXqYeXKlXpKq3sV7Y+1a9ciMDAQ9vb28PLywr/+9S/cvn1bT2l169ChQ+jbty+8vb2hUCiwbdu2Mr9jqtvSivaFqW9HK7NuqJnqttRUseAsxYYNGzBx4kRMnz4dKpUKHTt2xIsvvoikpKRi2yckJOCll15Cx44doVKpMG3aNIwfPx6bN2/Wc3LdqGh/HDp0CN27d8eOHTsQGxuLzp07o2/fvlCpVHpOXvUq2hdqGRkZGD58OLp27aqnpPpRmf4YNGgQ9u7dixUrVuCff/7BunXr0LhxYz2m1p2K9seRI0cwfPhwjBgxAmfPnsXGjRtx4sQJjBw5Us/JdSM7OxuBgYFYvHhxudqb8ra0on1hyttRoOL9oWaq21KTJqhEbdq0EWPGjNGa1rhxYzFlypRi23/wwQeicePGWtNGjx4t2rVrp7OM+lTR/ihOQECAmD17dlVH07vK9sXgwYPFhx9+KGbOnCkCAwN1mFC/Ktofv//+u3BxcRG3b9/WRzy9q2h/zJ8/X9StW1dr2jfffCN8fHx0llEuAMTWrVtLbWPq21K18vRFcUxlO/q0ivSHqW5LTRlHOEuQm5uL2NhY9OjRQ2t6jx49cPTo0WK/ExMTU6R9z549cfLkSeTl5eksqz5Upj+eVlhYiKysLFSvXl0XEfWmsn2xatUqXL58GTNnztR1RL2qTH9s374dwcHB+Pzzz1GrVi00bNgQkydPxsOHD/URWacq0x/t27dHSkoKduzYASEEbty4gU2bNqF37976iGxwTHlb+qxMZTv6LEx1W2rqrOQOYKhu3bqFgoICeHh4aE338PBAWlpasd9JS0srtn1+fj5u3boFLy8vneXVtcr0x9MWLFiA7OxsDBo0SBcR9aYyfXHx4kVMmTIFhw8fhpWVaf1nV5n+uHLlCo4cOQJbW1ts3boVt27dwtixY3Hnzh2jP46zMv3Rvn17rF27FoMHD8ajR4+Qn5+Pfv36YdGiRfqIbHBMeVv6rExlO1pZprwtNXUc4SyDQqHQei+EKDKtrPbFTTdWFe0PtXXr1mHWrFnYsGED3N3ddRVPr8rbFwUFBRg6dChmz56Nhg0b6iue3lVk3SgsLIRCocDatWvRpk0bvPTSS1i4cCFWr15tEqOcQMX6Iz4+HuPHj8eMGTMQGxuLnTt3IiEhAWPGjNFHVINk6tvSyjDF7WhFmMu21FTxfw9K4ObmBktLyyIjEunp6UX+z1vN09Oz2PZWVlaoUaOGzrLqQ2X6Q23Dhg0YMWIENm7ciG7duukypl5UtC+ysrJw8uRJqFQqREREAJAKLiEErKyssHv3bnTp0kUv2XWhMuuGl5cXatWqBRcXF820Jk2aQAiBlJQUNGjQQKeZdaky/REVFYUOHTrg/fffBwC0aNECDg4O6NixIz755BOzG9Ez5W1pZZnadrQyTH1bauo4wlkCGxsbBAUFITo6Wmt6dHQ02rdvX+x3QkJCirTfvXs3goODYW1trbOs+lCZ/gCk/yMPDw/Hzz//bDLHo1W0L5ydnXH69GnExcVpHmPGjEGjRo0QFxeHtm3b6iu6TlRm3ejQoQOuX7+O+/fva6ZduHABFhYW8PHx0WleXatMfzx48AAWFtqbY0tLSwCPR/bMiSlvSyvDFLejlWHq21KTJ8+5SsZh/fr1wtraWqxYsULEx8eLiRMnCgcHB5GYmCiEEGLKlCli2LBhmvZXrlwR9vb24r333hPx8fFixYoVwtraWmzatEmuRahSFe2Pn3/+WVhZWYlvv/1WpKamah737t2TaxGqTEX74mmmdmZlRfsjKytL+Pj4iAEDBoizZ8+KgwcPigYNGoiRI0fKtQhVqqL9sWrVKmFlZSWWLFkiLl++LI4cOSKCg4NFmzZt5FqEKpWVlSVUKpVQqVQCgFi4cKFQqVTi6tWrQgjz2pZWtC9MeTsqRMX742mmti01ZSw4y/Dtt98KPz8/YWNjI5577jlx8OBBzWdhYWEiNDRUq/2BAwdEq1athI2NjahTp45YunSpnhPrVkX6IzQ0VAAo8ggLC9N/cB2o6LrxJFPcSFa0P86dOye6desm7OzshI+Pj4iMjBQPHjzQc2rdqWh/fPPNNyIgIEDY2dkJLy8v8cYbb4iUlBQ9p9aN/fv3l7otMKdtaUX7wtS3o5VZN55kittSU6UQwgz31xARERGR3vAYTiIiIiLSKRacRERERKRTLDiJiIiISKdYcBIRERGRTrHgJCIiIiKdYsFJRERERDrFgvMZ5OTkYNasWcjJyZE7ikFgf2hjf2hjfzzGvtDG/tDG/tDG/jANZn8dziVLlmD+/PlITU1F06ZN8dVXX6Fjx47l+m5mZiZcXFyQkZEBZ2dnHSc1fOwPbewPbeyPx9gX2tgf2tgf2tgfpsGsRzg3bNiAiRMnYvr06VCpVOjYsSNefPFFJCUlyR2NiIiIyGSYdcG5cOFCjBgxAiNHjkSTJk3w1VdfwdfXF0uXLpU7GhEREZHJsJI7gFxyc3MRGxuLKVOmaE3v0aMHjh49Wux3cnJytI4huXPnDgAgOTkZLi4uugtrJLKysgAA165dQ2Zmpsxp5Mf+0Mb+eIx9oY39oY39oc1Q+qOwsBA3btxAq1atYGVltuVTpZltj926dQsFBQXw8PDQmu7h4YG0tLRivxMVFYXZs2cXmd6sWTOdZDRWAQEBckcwKOwPbeyPx9gX2tgf2tgf2gylP/7880+0bt1a7hhGx2wLTjWFQqH1XghRZJra1KlTERkZqXmfnJyMZs2a4c8//4SXl5dOcxIREZF8UlNT0aZNmyIDVVQ+Zltwurm5wdLSsshoZnp6eokrk1KphFKp1LxX70b38vKCj4+P7sISERGRQbCwMOvTXyrNbHvNxsYGQUFBiI6O1poeHR2N9u3by5SKiIiIyPSY7QgnAERGRmLYsGEIDg5GSEgIvvvuOyQlJWHMmDFyRyMiIiIyGWZdcA4ePBi3b9/GnDlzkJqaimbNmmHHjh3w8/OTOxoRERGRyTDrghMAxo4di7Fjx8odg4iIiMhkme0xnGT60tPTMXr0aNSuXRtKpRKenp7o2bMnYmJiNG0UCgW2bdtWJb+XmJgIhUKBuLi4UtsdOHAACoUC9+7dK/JZy5YtMWvWLE2b0h6rV68GAGzevBmdOnWCi4sLHB0d0aJFC8yZM0dzndjy2LJlC7p3746aNWvC2dkZISEh2LVrV5F2mzdvRkBAAJRKJQICArB161atz6OiotC6dWs4OTnB3d0d/fv3xz///KP5PC8vD//+97/RvHlzODg4wNvbG8OHD8f169fLzHj37l0MGzYMLi4ucHFxwbBhw4r04YQJExAUFASlUomWLVuWe/kPHjyIoKAg2Nraom7duli2bJnW52fPnsVrr72GOnXqQKFQ4Kuvvipzno8ePUJ4eDiaN28OKysr9O/fv0ibI0eOoEOHDqhRowbs7OzQuHFjfPnll6XO986dO3j33XfRqFEj2Nvbo3bt2hg/fjwyMjI0bUpbf06cOFHq/Mv6GwPSLYH9/f1ha2uLoKAgHD58uMz+ICLzxoKTTNZrr72GU6dOYc2aNbhw4QK2b9+OTp06VagQK6/c3NwqnV/79u2RmpqqeQwaNAi9evXSmjZ48GBMnz4dgwcPRuvWrfH777/jzJkzWLBgAU6dOoUff/yx3L936NAhdO/eHTt27EBsbCw6d+6Mvn37QqVSadrExMRg8ODBGDZsGE6dOoVhw4Zh0KBBOH78uKbNwYMHMW7cOBw7dgzR0dHIz89Hjx49kJ2dDQB48OAB/vrrL3z00Uf466+/sGXLFly4cAH9+vUrM+PQoUMRFxeHnTt3YufOnYiLi8OwYcO02ggh8NZbb2Hw4MHlXvaEhAS89NJL6NixI1QqFaZNm4bx48dj8+bNmjYPHjxA3bp1MW/ePHh6epZrvgUFBbCzs8P48ePRrVu3Yts4ODggIiIChw4dwrlz5/Dhhx/iww8/xHfffVfifK9fv47r16/jiy++wOnTp7F69Wrs3LkTI0aM0LR5ev1JTU3FyJEjUadOHQQHB5c47/L8jXlLYCKqFEGVlpycLACI5ORkuaPQU+7evSsAiAMHDpTYxs/PTwDQPPz8/IQQQly6dEn069dPuLu7CwcHBxEcHCyio6OLfPfjjz8WYWFhwtnZWQwfPlxrXgBEaGhosb+7f/9+AUDcvXu3yGeBgYFi5syZRaaHhYWJl19+WWva8ePHBQDx1VdfldgHzyIgIEDMnj1b837QoEGiV69eWm169uwphgwZUuI80tPTBQBx8ODBEtv8+eefAoC4evVqiW3i4+MFAHHs2DHNtJiYGAFAnD9/vkj7mTNnisDAwBLn96QPPvhANG7cWGva6NGjRbt27Ypt7+fnJ7788styzVutuL9fSV555RXx5ptvVmj+v/zyi7CxsRF5eXnFfp6bmyvc3d3FnDlzSp1Pef7Gbdq0EWPGjNFq07hxYzFlypQKZSYyNvw3/9lwhJNMkqOjIxwdHbFt2zat25E+Sb1rcdWqVUhNTdW8v3//Pl566SXs2bMHKpUKPXv2RN++fYuM4MyfPx/NmjVDbGwsPvroI/z5558AgD179iA1NRVbtmzR4RICa9euhaOjY4nHIFerVg3A4139Bw4cKPe8CwsLkZWVherVq2umxcTEoEePHlrtevbsWeKtYAFodvM+OZ/i2igUCk3e4sTExMDFxQVt27bVTGvXrh1cXFxK/f3yKGm5Tp48iby8vGead0WpVCocPXoUoaGhmmnq3eOJiYklfi8jIwPOzs4l3m5v+/btuHXrFsLDw7Wm16lTB7NmzdK8L+tvrL4l8NNtSrslMBERwF3qZKKsrKywevVqrFmzBtWqVUOHDh0wbdo0/P3335o2NWvWBCAVZp6enpr3gYGBGD16NJo3b44GDRrgk08+Qd26dbF9+3at3+jSpQsmT56M+vXro379+prv16hRA56enqUWWVXh4sWLqFu3LqytrUttZ21trTner7wWLFiA7OxsDBo0SDMtLS2tQreCFUIgMjISzz//fIm3f3306BGmTJmCoUOHwtnZucQ8aWlpcHd3LzLd3d29xN8vr5KWKz8/H7du3XqmeZeXj48PlEolgoODMW7cOIwcOVLzmb29PRo1alTi3/n27dv4+OOPMXr06BLnv2LFCvTs2RO+vr5a0+vVqwc3NzfN+7L+xpW5JTAREcCCk0zYa6+9huvXr2P79u3o2bMnDhw4gOeee05zsk1JsrOz8cEHHyAgIADVqlWDo6Mjzp8/X2SEs7Rj4fRBlHIb1ifVqlUL58+fR5s2bco133Xr1mHWrFnYsGFDkSKvIreCjYiIwN9//41169YV+3leXh6GDBmCwsJCLFmyRDN9zJgxmhFqR0fHEn+7rN8vzpPzffJ6u8UtV0m/qQuHDx/GyZMnsWzZMnz11VdafdamTRucP38etWrVKvK9zMxM9O7dGwEBAZg5c2ax805JScGuXbu0jvFU27t3LyIiIrSmledvXJH1gIgI4GWRyMTZ2tqie/fu6N69O2bMmIGRI0di5syZRXYtPun999/Hrl278MUXX6B+/fqws7PDgAEDipwY5ODgUKlM6pG8jIyMIruR7927p7llalkaNmyII0eOIC8vr8xRzvLasGEDRowYgY0bNxY50cXT07Pct4J99913sX37dhw6dKjY277m5eVh0KBBSEhIwL59+7RGN+fMmYPJkycX+e0bN24Umc/NmzcrdF/jJ68goP7NkpbLysoKNWrUKPe8n4W/vz8AoHnz5rhx4wZmzZqF119/vdTvZGVloVevXnB0dMTWrVtLXAdWrVqFGjVqlOvErLL+xpW5JTAREcARTjIzAQEBmjOmAWl3c0FBgVabw4cPIzw8HK+88gqaN28OT0/PUo+fU7OxsQGAIvN7WoMGDWBhYVHk8jSpqam4du0aGjVqVK5lGTp0KO7fv681Ovik4i67VJp169YhPDwcP//8M3r37l3k85CQkCK3gt29e7fWrWCFEIiIiMCWLVuwb98+TSH1JHWxefHiRezZs6dIUefu7q45TKF+/fqa387IyNAcJwsAx48fR0ZGRoVuRfvkfNWjtyUtV3BwcJUV8hUhhCjxuGO1zMxM9OjRAzY2Nti+fTtsbW1LnNeqVaswfPjwci1LWX9j3hKYiCpNrrOVTAHPWDNct27dEp07dxY//vijOHXqlLhy5Yr45ZdfhIeHh3jrrbc07Ro0aCDeeecdkZqaKu7cuSOEEKJ///6iZcuWQqVSibi4ONG3b1/h5OQkJkyYoPlecWcq5+XlCTs7O/HJJ5+ItLQ0ce/evRLzvfPOO6J27dpi69at4sqVK+LIkSMiNDRUNG/evNgzjUs6y/mDDz4QlpaW4v333xdHjx4ViYmJYs+ePWLAgAGas9dTUlJEo0aNxPHjx0vM8/PPPwsrKyvx7bffitTUVM3jyWX4448/hKWlpZg3b544d+6cmDdvnrCystI6c/ydd94RLi4u4sCBA1rzefDggaaP+vXrJ3x8fERcXJxWm5ycnBLzCSFEr169RIsWLURMTIyIiYkRzZs3F3369NFqc/HiRaFSqcTo0aNFw4YNhUqlEiqVqtR5X7lyRdjb24v33ntPxMfHixUrVghra2uxadMmTZucnBzNvLy8vMTkyZOFSqUSFy9eLDXz2bNnhUqlEn379hWdOnXSzENt8eLFYvv27eLChQviwoULYuXKlcLZ2VlMnz5d0+b48eOiUaNGIiUlRQghRGZmpmjbtq1o3ry5uHTpklYf5ufna/3+nj17BAARHx9fbL4uXbqIRYsWad6X52+8fv16YW1tLVasWCHi4+PFxIkThYODg0hMTCy1L4iMHf/NfzYsOJ8BVz7D9ejRIzFlyhTx3HPPCRcXF2Fvby8aNWokPvzwQ03xI4QQ27dvF/Xr1xdWVlaayyIlJCSIzp07Czs7O+Hr6ysWL14sQkNDyyw4hRDi+++/F76+vsLCwqLEyyKp882ZM0c0adJE2NnZCT8/PxEeHi5SU1OLbV/aZXU2bNggXnjhBeHk5CQcHBxEixYtxJw5czSXRUpISBAAxP79+0vMExoaWuSyTgBEWFiYVruNGzeKRo0aCWtra9G4cWOxefNmrc+LmwcAsWrVKq0sxT1KyyeEELdv3xZvvPGGcHJyEk5OTuL/2LvzuKjq/Y/j75FlWFRAUUHFBbck10QTrHDJpUXrVqZZJreyRbmV2O2mlQtltqi3m92yfpp6b7aXXW1VSy1TSw3KpTRXUMBdwA0Qzu+PidGRRVCGMzO8no/HecycM1/OfM6XcXj7Pdudd95Z7NJPpW3Hrl27ylz3ihUrjM6dOxu+vr5Gs2bNjNdff93h9dLqLut3bBjFL71VNBV55ZVXjMsvv9wICAgwateubXTu3Nl47bXXjIKCAnubostoFW1D0Xx5tvOOO+4wYmNjy6zv/MtwXeh3bBiG8e9//9to2rSp4evra1xxxRVlXvYK8BT8zb80FsP48+h4VNjevXsVERGhtLS0Eo9TAwAAnoG/+ZeGYzgBAADgVAROAAAAOBWBEwAAAE5F4AQAAIBTETgBAADgVAROAAAAOBWBEwAAAE5F4AQAAIBTETgBAADgVAROAAAAOBWBEwAAAE5F4AQAAIBTETgBAADgVAROAAAAOBWBEwAAAE5F4AQAAIBTETgBAADgVAROAAAAOBWBEwAAAE5F4AQAAIBTeVzg3L17t+699141b95c/v7+atGihSZOnKi8vDyHdhaLpdg0a9Ysk6oGAADwXN5mF1DZfv/9dxUWFuqNN95Qy5YttWnTJo0cOVInTpzQtGnTHNrOnTtXAwYMsM8HBQVVdbkAAAAez+MC54ABAxxCZGRkpLZu3arXX3+9WOAMDg5WWFhYVZcIAABQrXjcLvWSZGVlqU6dOsWWJyQkKDQ0VF27dtWsWbNUWFhY5npyc3OVnZ1tn3JycpxVMgAAgMfwuBHO8+3YsUMzZ87U9OnTHZY/88wz6tOnj/z9/fXNN99o7NixOnTokJ566qlS1zV16lRNnjzZ2SUDAAB4FIthGIbZRZTHpEmTLhj21q1bp+joaPt8enq64uLiFBcXp9mzZ5f5s9OnT1dSUpKysrJKbZObm6vc3Fz7/L59+xQVFaW0tDQ1bty4nFsCAADczd69exUREcHf/IvkNiOcCQkJGjp0aJltmjVrZn+enp6uXr16KSYmRm+++eYF19+9e3dlZ2dr//79atCgQYltrFarrFarfT47O7t8xQMAAFRjbhM4Q0NDFRoaWq62+/btU69evdSlSxfNnTtXNWpc+FDV5ORk+fn5KTg4+BIrBQAAwLncJnCWV3p6unr27KkmTZpo2rRpOnjwoP21ojPSFy9erMzMTMXExMjf31/Lly/Xk08+qfvvv99hBBMAAACXzuMC55IlS7R9+3Zt37692DEWRYer+vj46LXXXlNiYqIKCwsVGRmppKQkjR492oySAVShZTuXqWWdlmoW3MzsUtzGkSPS7t1ScLAUGWl2NQDckducNOSKOIAYcC8/Z/ysq+derZq+NbXqr6vUqm4rs0tyC++8I915p9Snj7RsmdnVAObgb/6lqRbX4QSAvdl7NfDdgTqZf1IdG3RkhLMC8vNtj76+5tYBwH0ROAF4vJzcHN34zo1Kz0nX5fUu14eDP5SPl4/ZZbmNvDzbow9dBuAiETgBeLwHP39Qv+z/RTV9a+qzYZ8pyC/I7JLcSlHgZIQTwMUicALweL8f+l2SdDzvuP7y/l/0/qb3VVBYYHJV7uPUKdujn5+5dQBwXwROAB7vszs+05juYxToE6iUzBQN/Xio2rzaRm9ueFO5Z3IvvIJqrugGbEEMDAO4SAROAB4vvFa4ZvSfoT2P7tGkuEmq419HO47u0AOfPaDm/2qul354STm5OWaX6bIInAAuFYETQLVRN6CuJvacqNRHU/XP/v9U49qNlXE8Q48ve1xNXm6ip799WgdPHLzwiqoZAieAS0XgBFDtBPoG6tHuj2rHwzv01qC31KZuGx07fUzPfv+smr7cVPctuk/f7/leXKbYhsAJ4FIROAFUW75evvpr579q86jN+vj2jxXdMFqnzpzSnOQ5umbeNWo5s6Umr5isXUd3mV2qqbKzbY8ETgAXi8AJoNrzquGlW9reop/u+0kr41fqr53+qpq+NbXz6E5NWjlJka9Eque8npqbPLdaHuuZ8+cm16plbh0A3BeBEwD+ZLFYdE3Ta/TWTW8pc2ym/vuX/6pP8z6yyKKVe1bqnkX3KGx6mIYvHK4dR3aYXW6VIXACuFQETgAoQaBvoO7qcJeW3b1Mex7doym9p6h13dY6mX9Sb//6tsZ8PcbsEqvM8eO2x8BAc+sA4L4InABwARFBERp/9Xj9Pvp33dXhLklS06CmJldVdYrOnarBXwwAF4mvDwAoJ4vFok0HNkmSrm56tcnVVB2LxfbISfsALhaBEwDK6djpY/ol8xdJ0tVNql/gLCw0tw4A7ovACQDlYBiGPv39Uxky1LJOS4XXCje7pCpz5ozt0cfH3DoAuC9vswsAAFd1Mv+kvtn5jRZvW6zP//hc6TnpkqRrmlxjcmVV6/Rp26Ofn7l1AHBfBE4AOMe+7H36/I/PtXjbYi3buUynz5y2vxboE6j+Lftr/NXjTayw6uXm2h6tVnPrAOC+CJwAqjXDMJScmaxFWxdp8bbF+jnjZ4fXmwQ10cDWA3Vj6xvVs1lP+XlXr2E+w2CEE8ClI3ACqNae+/45PbX8Kfu8RRZd2fhK3djqRg1sM1Dt67eXpeismWooP//s2emMcAK4WAROANXaij0rJEnXNL1G8R3jdX2r69WgZgNzi3JRXIcTwMUicAKo1vZm75UkTYybqN7Ne5tcjevx8jr7vOhsdQCoKP6/CqDaMgxDaVlpkqSI2hEmV+Oazh3VJHACuFgETgDVVlZulk7kn5AkNardyORqXJPFInn/uS+MwAngYhE4AVRb+7L3SZK8LF76fs/3JlfjuooCZ36+uXUAcF8ETgDVVsNaDdW4dmMVGAUasGCAbn7vZu06usvsslyKYZwNmtxpCMDFInACqLZC/EO06aFNGtN9jLwsXvrf1v+p7b/basLyCTqZf9Ls8lxCfr5UUGB7Hhhobi0A3BeBE0C1FuQXpBn9Z+jXh35Vn+Z9lFuQq2e+e0Zt/91W2w5vM7s80504cfZ5QIB5dQBwbwROAJAUVS9KS4cv1Zs3vilJSs1K1dfbvza5KvOdOmV79PKSfH3NrQWA+yJwAsA5Fm9bLElqVaeV4jvFm1uMCyi6rSV3GQJwKTwycDZr1kwWi8VheuKJJxzapKamauDAgQoMDFRoaKgefvhh5eXlmVQxAFfwrx//pcXbFsvqZdUHgz9QLWsts0syXW6u7ZHACeBSeOydhpKSkjRy5Ej7fM2aNe3PCwoKdMMNN6hevXpatWqVDh8+rBEjRsgwDM2cOdOMcgGYbH36ej2+9HFJ0vR+09UprJO5BbmIov+HEzgBXAqPDZy1atVSWFhYia8tWbJEW7ZsUVpamho2bChJmj59uuLj4zVlyhTVrl27KksFYLLjecc15KMhyi/M1y1tb9GorqPMLsllMMIJoDJ45C51SXrhhRdUt25dderUSVOmTHHYXb5mzRq1a9fOHjYlqX///srNzdWGDRvMKBeAiT7Y/IF2Ht2piNoRmjNojiwWi9kluQyuwQmgMnjkCOcjjzyiK664QiEhIfrpp580btw47dq1S7Nnz5YkZWZmqkGDBg4/ExISIl9fX2VmZpa63tzcXOUW/XdfUk5OjnM2AECV+vi3jyVJI68YqWC/YHOLcVFkcACXwm1GOCdNmlTsRKDzp/Xr10uSxowZo7i4OHXo0EH33XefZs2apTlz5ujw4cP29ZU0gmEYRpkjG1OnTlVQUJB9ioqKqvwNBVClsk5nadnOZZKkW6NuNbkaAPBMbjPCmZCQoKFDh5bZplmzZiUu7969uyRp+/btqlu3rsLCwvTjjz86tDl69Kjy8/OLjXyea9y4cUpMTLTP79u3j9AJuLllO5cpryBPbeq2UVQ9/j2fzzAcHwHgYrhN4AwNDVVoaOhF/WxycrIkKTw8XJIUExOjKVOmKCMjw75syZIlslqt6tKlS6nrsVqtsp5z5Hx2dvZF1QPAdWw+uFmSFBsRa3Ilrqnowu/cZQjApXCbwFlea9as0dq1a9WrVy8FBQVp3bp1GjNmjAYNGqQmTZpIkvr166eoqCgNHz5cL730ko4cOaLHHntMI0eO5Ax1oJrZenirJKlN3TYmV+Kajh+3PZ5zZTkAqDCPC5xWq1Xvv/++Jk+erNzcXDVt2lQjR47U448/bm/j5eWlzz//XKNGjVKPHj3k7++vYcOGadq0aSZWDsAMRfdL/++v/9XhU4cVGxGrmMYxalCz9MNrqhMCJ4DK4HGB84orrtDatWsv2K5Jkyb67LPPqqAiAK6sc1hnrU9fr80HN9t3r0tSZEikYiNiFds4VrERsWpXv528aniZWKk5igJnYKC5dQBwbx4XOAGgIt648Q093uNxrU5bbZ82HdiknUd3aufRnXr717clSbV8a+nKxlfaA+iVja+sFpdQOnHC9sgIJ4BLQeAEUK1ZLBa1rNNSLeu01N0d75Zku1TSj/t+tAfQtXvXKicvR8t2LrNfQskiiy6vf7k9gMZGxKplnZYed9F4RjgBVAYCJwCcJ8gvSP1a9FO/Fv0kSQWFBdp8cLPDKOiOozu06cAmbTqwSW/+/KYkKTQg1H4MaGxErKIbRivAx71P7y4a4SRwArgUBE4AuACvGl7q0KCDOjTooAejH5Qk7T++X9+nfq8PNn+gRVsXKbcgV4dOHtKirYu0aOsiSVKIX4hW3bPKra/vyS51AJWBwAkApTAMQ0dPH7Ufz7nz6E7tOrpLO4/ZnqdmpepM4ZlSf77AKFBBYUEVVlz5igIn1+EEcCkInACqtdwzudp9bLd2Hdt1NlSe8zw7t+wbPPh6+apZcDNFhkQqMjhSzUOa256HRKpFSAvVstaqoi1xjqILv/v7m1sHAPdG4ATg0QzDUObxzGJBsmh+X/Y+GSr7vo3hNcMVGfJnmAyOPPs8JFINazVUDUuNKtqaqkfgBFAZCJwA3N7xvOO2Xd0ljFDuPrZbp86cKvPnA30C7aOSkSGRah58dpSyWXAz+ftU37S1a5ftMSTE3DoAuDcCJwC3k3smV6tSV+mLP77Ql9u/1G+HfiuzfQ1LDTUJauIQJM99HhoQ6nGXM6oMf/whbd4seXtLvXqZXQ0Ad0bgBOAW9hzboy+3f6kvt3+pb3Z+oxP5Jxxer+Nfp8Qw2Ty4uZoENZGPl49JlbuvTz6xPfbqJdWpY24tANwbgROASyoaxSwKmVsObnF4PaxmmAa0HKDrWl6nPs37qG5AXZMq9Vwff2x7vPVWc+sA4P4InACq3Kn8Uzp08pDDdPjUYfvz3cd2a8XuFQ6jmDUsNRQbEavrWl6n61pep45hHT36ZB2zHD4s/fKLtH69tG6dZLFIN91kdlUA3B2BE8AlOX3m9NnQePJwmUGyaLrQSTxFzh3F7BvZVyH+nLlSWQxD2r1bSkk5OyUnS2lpju3i4qSwsKqvD4BnIXACsMs9k1tiQLQHyVPFl51/LGV5+dTwUWhAqOoG1FVoQKht8rc91gusp6ubXM0oZiXJy5N++80WKM8NmFlZJbePjJQ6dbJN8fFVVSUAT0bgBDxIQWGBTuaf1PG84zqRf8L2mGd7zM7NLhYmz58/nnf8ot7Xy+J1NjQWhUj/UIdl54fLWr61ODO8EhmGlJ0t7dtnm84NmJs3S/n5xX/Gx0dq1+5suOzcWerQQQoKquLiAXg8AidggvyC/BJD4Yn8Ew7Pz3+tzOV5J8q9q7osXhYv1Q2oq7r+dYsHxpKWBdRVkDWI8OhEeXlSRoYtSKannw2V5z7ft086ebL0dQQHnw2WRVPbtpKvb5VsAoBqjsAJlMIwDOUW5JYa7i42FB7PO678whKGmyqRRRYF+gaqpm9NBfrYHmtZa5UeGs9ZFuQXxG7sKmIYtpN0zg+O54fKAwfKv87gYKlRI6lFC9uIZVG4bNrUdgIQAJiBwAm3V2gU6mT+yUoPhSfyT6jQKHRq7d41vB1C4fkhMdA3UDV9HJeX2Oa8eX9vf0YcTXbqVOmjkUXP09Ol3Nzyrc/XV2rY0DY1anR2One+YUMpIMC52wUAF4PAiSpzpvBMxUNh3okLBsST+WXsR6wkft5+5QqFZbYpYd7Xi/2Z7qaw0DbiWNIu7XPnjx4t/zpDQ0sPkUXzoaGMUAJwXwROXJBhGNp5dKd+P/S7jucdv+hRw9yCcg7lXIKyAp79eQVDYYBPgLxr8E+lusjNlTZskHbsKDlUZmZKZ86Ub13+/qWPRBY9Dw+XrFbnbhMAmI2/oigmPSdd6/at07p027Q+fb2OnDpSaev3sngVC3jFwl4FQ2GgT6D8ffw59hAVlpUlrV4trVolff+99NNPF97NbbHYrk1ZWogsmg8OZlQSACQCZ7V35NQRrU9f7xAw03PSi7Xz9fJV29C2CvEPuaRQWLQbmeMLYZaMjLPh8vvvpV9/te0mP1f9+rbLBZ0bIM8NlWFhkjffngBQbnxlViMn8k7o54yf7cFy3b512nF0R7F2NSw1FFUvSl0bdrVNjbqqff32snqz3w/uxTCk7dvPhsvvv7ftKj9fZKR09dVnp1atGJkEgMpE4PRQeQV5+nX/rw4jl1sObinxrOsWIS3UtVFXe8DsHN5ZNX1rmlA1cGkKCmz3AS8Kl6tWSfv3O7axWKSOHaWrrrKFy6uuso1cAgCch8DpIQ6fPKzPtn2mn/b9pHXp6/TL/l+UV5BXrF3DWg0dRi6jG0arjn8dEyoGKsfatdKyZbaAuWaNlJPj+Lqvr9St29nRy9hY7qQDAFWNwOkh+r3dTz9n/OywLMQvxGHksmujrmpYi6EceIYTJ6SEBGnePMfltWtLPXqcDZjR0ZKfnyklAgD+ROD0EAdPHJQk3dXhLt3Q6gZ1bdhVkSGRnJwDj7Rpk3T77bb7hdeoId1yixQXZwuY7dpJXl5mVwgAOBeB00ME+wUrLTtNd3e4W31b9DW7HMApDEOaM0f629+k06dt17B85x2pZ0+zKwMAlIWLFnqIID/bQWlZuVkmVwI4x5Ej0h13SCNH2sLmgAFSSgphEwDcAYHTQ5w+c1qS7aLqgKf5+mupfXvp/fdtu8uff176/HPb9TIBAK6PXeoewDAMbTu8TZLUum5rk6sBKs+JE9Lf/y69/rptvnVr6b//tZ11DgBwHx43wrlixQpZLJYSp3Xr1tnblfT6rFmzTKz84u0/sV/ZudmqYamhlnVaml0OUCnWrJE6dTobNh9+WEpOJmwCgDvyuBHO2NhYZWRkOCx7+umntWzZMkVHRzssnzt3rgYMGGCfD3LTi/NtPbRVktQsuBl3A4Lby8uTJk+27TYvLJQaN5bmzpWuvdbsygAAF8vjAqevr6/CwsLs8/n5+Vq0aJESEhKKXSIoODjYoa272nrYFjjb1G1jciXAxTMM6X//kyZMkDZutC276y5p5kwpONjU0gAAl8jjdqmfb9GiRTp06JDi4+OLvZaQkKDQ0FB17dpVs2bNUmFh8ds+uoOiEU4CJ9xRYaG0cKHUubP0l7/YwmadOtKHH9qO1yRsAoD787gRzvPNmTNH/fv3V0REhMPyZ555Rn369JG/v7+++eYbjR07VocOHdJTTz1V6rpyc3OVm5trn885/x56JrGPcIYSOOE+CgulTz+17T7/9Vfbspo1bcdqJiZKdeuaWh4AoBK5TeCcNGmSJk+eXGabdevWORynuXfvXn399df64IMPirU9N1h26tRJkpSUlFRm4Jw6deoFazBDUeDkDHW4A8OQPvtMevLJs7vOa9WyBc0xYwiaAOCJ3CZwJiQkaOjQoWW2adasmcP83LlzVbduXQ0aNOiC6+/evbuys7O1f/9+NWjQoMQ248aNU2Jion1+3759ioqKunDxTrTr6C7tPLpTktQ2tK2ptQAXsn279Mgj0hdf2OZr17bNP/qobTc6AMAzuU3gDA0NVWhoaLnbG4ahuXPn6u6775aPj88F2ycnJ8vPz0/BZRwwZrVaZbWePQs8Ozu73PU4y0urX1KhUah+LfopvFa42eUAJTp5Upo6VXrxRdtZ6D4+tt3m//iHFBJidnUAAGdzm8BZUd9++6127dqle++9t9hrixcvVmZmpmJiYuTv76/ly5frySef1P333+8QKF1dRk6G3kp+S5I0/qrxJlcDFFd05vmjj0p79tiW9esnvfKK1IZDjgGg2vDYwDlnzhzFxsaqbdviu5l9fHz02muvKTExUYWFhYqMjFRSUpJGjx5tQqUX759r/6ncglzFRsTqmqbXmF0O4OCPP2zHZX71lW0+IkJ6+WXbmejnXaEMAODhPDZwvvPOO6W+NmDAAIcLvrujI6eO6PX1tluwjL9qfLFrjAJmOXNGSkqSXnjBtvvc11d67DFp/HgpMNDs6gAAZvDYwOnpXv3pVR3PO64ODTro+lbXm10OIEk6dUoaNsx2uSNJ6t/fduH2Vq1MLQsAYDICpxs6nndc//rxX5IY3YTrOHZMGjRI+v57yWq13Y5y6FB2nwMACJxu6c0Nb+rIqSNqWaelbou6zexyAKWnSwMG2K6rGRQkLVokXcNhxQCAPxE43UzumVxNWz1NkvREjyfkVcPL5IpQ3W3bZjvzfM8eKSxM+vprqUMHs6sCALgSj7+XuqeZlzJPGccz1Lh2Yw3vONzsclCNHT8uffCB1KOHLWy2aiWtXk3YBAAUxwinGyk0CjVtjW1087GYx+Tr5WtyRahuMjKkxYtt19b85hspN9e2vEsX292D6tc3tz4AgGsicLqRL/74QtuPbFewX7DuvaL4Be2BymYY0pYttmMy//c/6ccfHV9v0UK69Vbpqads90MHAKAkBE438vLalyVJI68YqZq+Nc0tBh7LMKRVq2yXNvrf/6QdOxxf79ZNuukm2xQVxVnoAIALI3C6iX3Z+/TNrm8kSaO7utcdkeA+Dh+Whg+Xvvzy7DKrVerTx3bJo4EDpYYNzasPAOCeCJxuItA3UP7e/jp15pS2Hd6mpsFNzS4JHmb9eum222wnAPn5SYMH20Yx+/eXajKgDgC4BJyl7iaC/YJ1f5f7JUnPfv+sydXAkxiG9MYbZ882b9FCWrtW+s9/bMdnEjYBAJeKwOlGHou1nZn+3Z7v9N2e78wuBx7g5EkpPl568EHbfc9vusk20tmxo9mVAQA8CYHTjTSu3Vh/7fRXSdKz3zHKiUvzxx9STIxtJLNGDemFF6SFC6XgYLMrAwB4GgKnm3m0+6OSpKU7l2rLwS3mFgO3U1goLV0q3X67dPnl0q+/2q6d+c030uOPc8Y5AMA5OGnIjRQahXrq26ck2Y7prONfx+SK4C7S06W5c6U5c6Rdu84u791b+u9/OfMcAOBcBE438vclf9fHv30sXy9ffTrkU4XVDDO7JLiwM2ekr76S/u//pM8/lwoKbMuDgqQ775RGjpQ6dTK1RABANUHgdBNvrH9DM9bOkCTNvWmu4prFmVwRXNn330vDhkl7955ddtVVtpB5221SQIB5tQEAqh8CpxvIyMnQY0sfkyRN6T1Fw9oPM7kiuLLsbOmOO6R9+6S6daURI6T77pPatjW7MgBAdUXgdANPfPOEjucd15WNrtQTVz1hdjlwcU89ZQubkZG2k4ICA82uCABQ3XGWuov7ce+P+s8v/5EkvXLdK6ph4VeG0q1dK736qu35G28QNgEAroH04sIKjUL97cu/SZLiO8WrW6NuJlcEV5afbztG0zCku++Wrr3W7IoAALAhcLqwBb8u0Lr0darlW0tT+0w1uxy4sNxcKTFR2rRJCg2Vpk83uyIAAM4icLqwogu75xfm64fUH0yuBq5q+XLbrSiLdqW//LItdAIA4CoInC5s/NXjdX2r63X6zGkN/nCwXvrhJRmGYXZZcBEHDth2nffuLW3dKjVoIL33nu0amwAAuBICpwurZa2l/w39n0Z3HS1Dhh5f9rge/OxBFRqFZpcGk/3nP9Jll9nuEmSxSKNGSb//Lg0ZYnZlAAAUR+B0cd41vDXzupma3s92UN6bP7+pVamrTK4KZkpJsV1b8+hR252C1q6V/v1vKTjY5MIAACgF1+F0AxaLRbWttSVJdfzrqEODDiZXBDP9x3aVLN1wg/Tpp5I3/4oBAC6OEU43cCLvhCYsnyBJeurqpxTsF2xuQTDNmTPSu+/anj/wAGETAOAeCJxu4J9r/6mM4xlqHtxco7qOMrscmOjbb6XMTNstK/v3N7saAADKh8Dp4g6cOKAXfnhBkvRcn+dk9baaXBHMtGCB7XHIEMnX19xaAAAoLwKni5u+erqO5x1XdMNo3X757WaXAxOdOSMtXGh7zqWPAADuxC0D55QpUxQbG6uAgAAFl3JqbmpqqgYOHKjAwECFhobq4YcfVl5enkObjRs3Ki4uTv7+/mrUqJGSkpJc6jqXJ/NP6v9+/j9J0tPXPM191Ku5X36RcnJsZ6N37252NQAAlJ9bnnKQl5enwYMHKyYmRnPmzCn2ekFBgW644QbVq1dPq1at0uHDhzVixAgZhqGZM2dKkrKzs9W3b1/16tVL69at07Zt2xQfH6/AwECNHTu2qjepRO9ufFdHTx9Vs+BmuqHVDWaXA5Ot+vNqWD16SDX4vwcAwI24ZeCcPHmyJGnevHklvr5kyRJt2bJFaWlpatiwoSRp+vTpio+P15QpU1S7dm0tWLBAp0+f1rx582S1WtWuXTtt27ZNM2bMUGJioiwWS1VtTokMw9Cr62z3KhwVPUpeNbxMrQfmKwqcV11lbh0AAFSUR46TrFmzRu3atbOHTUnq37+/cnNztWHDBnubuLg4Wa1Whzbp6enavXt3VZdczA9pPyglM0V+3n6694p7zS4HJissJHACANyXRwbOzMxMNWjQwGFZSEiIfH19lZmZWWqbovmiNufLzc1Vdna2fcrJyXFC9TaLti6SJNWw1NAb69/Q8bzjTnsvuC7DkL78UoqOtl0OyWq1PQcAwJ24TOCcNGmSLBZLmdP69evLvb6SdokbhuGw/Pw2RScMlbY7ferUqQoKCrJPUVFR5a6nooZ3GK7LQi/TyfyTGv/teDX/V3O99MNLOpF3wmnvCdfy3XfSNddI118vJSdLNWtKr78u+fmZXRkAABXjMoEzISFBv/32W5lTu3btyrWusLCwYqOUR48eVX5+vn0Us6Q2Bw4ckKRiI59Fxo0bp6ysLPu0ZcuWim5mubVv0F6bHtqkt//ytlrVaaVDJw/p8WWPK/KVSP1zzT91Kv+U094b5lq/XhowQIqLs+1G9/OTHntM2rVL+utfza4OAICKc5mThkJDQxUaGlop64qJidGUKVOUkZGh8PBwSbYTiaxWq7p06WJvM378eOXl5cn3zytoL1myRA0bNlSzZs1KXK/VanU45jM7O7tS6i2NVw0v3dnhTg1pN0Rv//q2klYmadexXUpckqi5KXP1y4O/mH5yEyrPyZPS2LHSrFm2eW9vaeRI6amnpHMORwYAwO24zAhnRaSmpiolJUWpqakqKChQSkqKUlJSdPy47TjHfv36KSoqSsOHD1dycrK++eYbPfbYYxo5cqRq164tSRo2bJisVqvi4+O1adMmLVy4UM8995xLnKF+Pu8a3orvFK+tCVv1cv+XJUmbDmxSoVFobmGoNMnJ0hVXnA2bw4dLW7dKr71G2AQAuD+XGeGsiAkTJmj+/Pn2+c6dO0uSli9frp49e8rLy0uff/65Ro0apR49esjf31/Dhg3TtGnT7D8TFBSkpUuXavTo0YqOjlZISIgSExOVmJhY5dtTXj5ePuoT2UeSVMe/DpdK8gCFhdKMGdL48VJ+vi1czp8vXXut2ZUBAFB53DJwzps3r9RrcBZp0qSJPvvsszLbtG/fXt99910lVuZ8h04ekiSFBlTO4Qcwz7590ogR0jff2OZvvlmaPVuqW9fUsgAAqHRuuUu9Ojt44qAkqV5gPZMrwaX49FOpQwdb2AwIkN58U/rkE8ImAMAzETjdzG+HfpMk1QsgcLojw5AmTJD+8hfpyBHbcZs//2w7OcjFDh0GAKDSEDjdyOKti5W0MkmSFNc0zuRqcDEmT5aeecb2/LHHpDVrpDZtzK0JAABnc8tjOKuj7/d8r9s/ul0FRoHu7ni3/nbl38wuCRX0zDO2wCnZThQaM8bcegAAqCqMcLqBXzJ/0Y3v3qjTZ05rYOuBmj1wtmpY+NW5k6lTbbvSJenFFwmbAIDqhdTi4nYc2aH+b/dXdm62rm5ytd6/7X35ePmYXRYq4KWXbJc9kqTnnpP+/ndz6wEAoKqxS92FFRqFGvjuQO0/sV8dG3TUojsWyd/H3+yyUA6Zmbazzj/8UFqxwrYsKUkaN87UsgAAMAWB04UdOnnIflb6V3d9pWC/YHMLQpkyMqSPP5Y++kj67jvbGelFJk+Wnn7avNoAADATgdOFnco/JUny8/ZTWM0wk6tBSfbtOzuSuWqVY8js1k0aPFi67TapWTPTSgQAwHQEThd2Mv+kJMnfm93ormbNGtuxmD/84Li8e3dbyLz1VqlpU3NqAwDA1RA4XVjRyUHH847r0MlD3M7SRaxfL/XvL+Xk2OZjY8+GzIgIc2sDAMAVcZa6C2sR0kJdwrsovzBfs3+ebXY5kPT779J119nCZq9eUlqabZTz0UcJmwAAlIbA6cIsFov+1s12gffX1r2mM4VnTK6oektNlfr2lQ4dkrp2lf73P6lxY7OrAgDA9RE4XdyQdkMUGhCqtOw0/e/3/5ldTrV14IAtbO7dK7VtK33xhVSrltlVAQDgHgicLs7P20/3X3G/JGnmTzNNrqZ6OnLEtht92zapSRNpyRIplMNpAQAoNwKnG3gg+gFJ0so9K+1nrqNq7NkjXXWV9PPPUr160tKl7EYHAKCiCJxuIKJ2hLxr2C4ocOTUEZOrqT5SUmyXOfrtN1vIXL5cat3a7KoAAHA/BE43YLFY7HcZOnb6mKm1VBdLlkhXX227RWX79tLatdLll5tdFQAA7onA6SZC/EIkSUdPHTW5Es83f750ww3S8eNS797S999LjRqZXRUAAO6LwOkmikY4j54mcDrTiy9K8fHSmTPSsGHSl19KQUFmVwUAgHsjcLqB3cd2a9vhbZJkP5YTle/jj6V//MP2/PHHpf/+V/L1NbcmAAA8AenFxeUV5On2D29XVm6WujfurmsjrzW7JI+0dav017/ano8dK73wgrn1AADgSRjhdHF/X/J3rUtfpxC/EL1/2/vy9WLIrbIdPy7dcovtdpVxcdLzz5tdEQAAnoXA6cK2Hd6mV356RZL01k1vqUlQE5Mr8kzTpklbtkjh4dJ770nejPsDAFCpCJwuLLxmuEIDbLe0Sc9JN7kaz7Vqle1x4kQpLMzcWgAA8EQEThdWy1pLk3tOliRNWD6BSyI5gWFIycm259HR5tYCAICnInC6uPu73K+oelE6fOqwnv3uWbPL8ThpabZ7pXt7S+3amV0NAACeicDp4rxreGt6v+mSpJk/zdQfh/8wuSLPUjS6GRUlWa3m1gIAgKcicLqBAS0HaEDLAcovzNe/fvyX2eV4lKLA2bmzuXUAAODJCJxuok3dNpK48HtlI3ACAOB8BE438XPGz5KkK8KvMLkSz5KSYnskcAIA4DxuGTinTJmi2NhYBQQEKDg4uNjrv/zyi+644w5FRETI399fbdu21b/+5bgrevfu3bJYLMWmr776qoq2ovwKjUKlZKZIInBWpsOHpdRU2/OOHc2tBQAAT+aW+2fz8vI0ePBgxcTEaM6cOcVe37Bhg+rVq6e3335bERERWr16te6//355eXkpISHBoe2yZct0+eWX2+fr1Knj9PoraseRHcrJy5Gft58uC73M7HI8xi+/2B4jI6WgIHNrAQDAk7ll4Jw82XZtynnz5pX4+j333OMwHxkZqTVr1uiTTz4pFjjr1q2rMBe/2ndypu1Aw/b123MMZyUqCpydOplaBgAAHs8td6lfjKysrBJHLwcNGqT69eurR48e+uijj8pcR25urrKzs+1TTk6Os8p1sOXgFklShwYdquT9qos9e2yPrVqZWwcAAJ6uWgTONWvW6IMPPtADDzxgX1azZk3NmDFDH330kb744gv16dNHQ4YM0dtvv13qeqZOnaqgoCD7FBUVVRXl6/dDv0sSu9MrWfqfdwtt2NDcOgAA8HQuEzgnTZpU4kk8507r16+v8Ho3b96sm266SRMmTFDfvn3ty0NDQzVmzBh169ZN0dHRSkpK0qhRo/Tiiy+Wuq5x48YpKyvLPm3ZsuWitrWith7eKonAWdmKRjjDw82tAwAAT+cyBwQmJCRo6NChZbZp1qxZhda5ZcsW9e7dWyNHjtRTTz11wfbdu3fX7NmzS33darXKes7taLKzsytUz8U4dvqYNu7fKIld6pXpww+ln36SLBapA90KAIBTuUzgDA0NVWhoaKWtb/Pmzerdu7dGjBihKVOmlOtnkpOTFe5iw13Ldi5TgVGgy0IvU5OgJmaX4xH27JFGjrQ9HzdOatPG3HoAAPB0LhM4KyI1NVVHjhxRamqqCgoKlPLn1btbtmypmjVravPmzerVq5f69eunxMREZWZmSpK8vLxUr149SdL8+fPl4+Ojzp07q0aNGlq8eLFeeeUVvfDCC2ZtVom+/ONLSdKAFgNMrsQznDkj3XmnlJUlXXmlNGmS2RUBAOD53DJwTpgwQfPnz7fPd/7zNjHLly9Xz5499eGHH+rgwYNasGCBFixYYG/XtGlT7d692z7/7LPPas+ePfLy8lLr1q311ltv6a677qqy7bgQwzD01Q7bheiva3WdydV4hmeekX74QapdW3r3XcnHx+yKAADwfBbDMAyzi3BXe/fuVUREhNLS0tS4ceNKX/+v+39Vx1kdFeAToMOPH5aft1+lv0d18uWX0o03SoWF0jvvSHfcYXZFAAB34ey/+Z7OZc5SR3FnCs9IkgoKC3T45GGTq3FvCxdKN99sC5vx8YRNAACqEoHThXUO66yrmlyl3IJcTfm+fCc+obi335YGD5by8myPb7xhdkUAAFQvBE4XZrFYNKW3LWjO/nm2dh3dZXJF7ufNN6W775YKCqQRI2y70n19za4KAIDqhcDp4q5peo36RvZVfmG+kr5LMrsctzJjhvTAA5JhSKNHS2+9JXm75WlyAAC4NwKnG3i297OSpP/88h/tPLrT5Gpcn2HYLnc0dqxt/h//kGbOlGrwaQcAwBT8CXYDV4RfoRC/EBUahUrNSjW7HJdWUGAbzZw82Tb/zDPS1Km2OwoBAABzsIPRDSzbuUxHTx9VXf+6io2INbscl5WbK911l/TRR7aA+eqr0qhRZlcFAAAInG7gP7/8R5I0rP0w+XpxxktJsrOlv/xF+vZb28Xc335buv12s6sCAAASgdMtfLnddnvLYe2HmVyJa9q3T7r+eunXX6WaNaVPP5X69DG7KgAAUITA6eIMw1B2brYkqVlwM3OLcUEbN9rC5t69UoMG0uefS126mF0VAAA4FycNubgzhWdUaBRKEre2PM+330pXXWULm23aSGvWEDYBAHBFBE4Xd+rMKftzAudZb78tDRhgO3bzqquk1aul5s3NrgoAAJSEwOniTp85bX9u9bKaWInreP55afhwKT/fdmLQ0qVSnTpmVwUAAEpD4HRxx04fkyQF+ATIwsUk9dJL0rhxtudjx0rvviv5MfALAIBLI3C6uJ8zfpYkXV7vcpMrMd9bb0mPP257/txz0rRp3D0IAAB3wJ9rF7du3zpJUteGXU2uxFyffiqNHGl7/ve/nx3lBAAAro/A6eLWpf8ZOBtV38C5fLk0dKhUWCjdc4/0wgtmVwQAACqCwOnCzhSe0YaMDZKkbo26mVyNOZKTpZtust228uabpTfe4L7oAAC4GwKnC0vNStXJ/JPy9fJVm7ptzC7HFFOmSDk5Us+ethOEvLlVAQAAbofA6cJqW2tLkvIK8lRgFJhcjTlO/XkZ0uHDORsdAAB3ReB0YXX968qnho8kaf/x/SZXY47AQNvjiRPm1gEAAC4egdOFWSwWhdUMkyRlHM8wuRpz1KxpeyRwAgDgvgicLi68VrgkKSOnegZORjgBAHB/BE4X16hWI0lSSmaKuYWYIDdXWr/e9twwzK0FAABcPAKni7ul7S2SpNfXv+5wX3VPZxjSAw9Ia9dKtWtLd99tdkUAAOBiEThd3JDLhyiidoT2n9iv//7yX7PLqTLPPy/Nny95eUkffii1bm12RQAA4GIROF2cj5ePEmMSJUmv/PSKydVUjW++kcaPtz2fOVPq18/cegAAwKUhcLqBns16SpIOnDhgbiFVIC9PSkiwPX/gAemhh8ytBwAAXDoCpxs4cuqIJNt1OT3dK69Iv/8u1a/PPdMBAPAUBE43cPjkYUlS3QDPDpwZGdLkybbnzz8vBQWZWw8AAKgcBE43cPjUn4HTw0c4//EP6fhx6corpREjzK4GAABUFrcMnFOmTFFsbKwCAgIUHBxcYhuLxVJsmjVrlkObjRs3Ki4uTv7+/mrUqJGSkpJkuOAFH+0jnB4cOFevlv77X8lisZ0oVMMtP5kAAKAk3mYXcDHy8vI0ePBgxcTEaM6cOaW2mzt3rgYMGGCfDzpnH212drb69u2rXr16ad26ddq2bZvi4+MVGBiosWPHOrX+itqXs0+S7Le59DQFBWdPFLrnHqlrV3PrAQAAlcstA+fkPw/0mzdvXpntgoODFRZWckhbsGCBTp8+rXnz5slqtapdu3batm2bZsyYocTERFkslsou+6LtOrZLktQ8pLnJlTjH7NlScrLtmM3nnjO7GgAAUNk8esdlQkKCQkND1bVrV82aNUuFhYX219asWaO4uDhZrVb7sv79+ys9PV27d+8ucX25ubnKzs62Tzk5Oc7eBEnS7mO2epoHe17gPHz47DU3k5JsZ6cDAADP4rGB85lnntGHH36oZcuWaejQoRo7dqyeO2f4LDMzUw0aNHD4maL5zMzMEtc5depUBQUF2aeoqCjnbcCfDMOwB85mwc2c/n5V7emnpSNHpHbtpFGjzK4GAAA4g8sEzkmTJpV4os+50/r168u9vqeeekoxMTHq1KmTxo4dq6SkJL300ksObc7fbV50wlBpu9PHjRunrKws+7Rly5YKbmXFHThxQKfPnJZFFkUERTj9/arSV19Jb7xhez5zpuTtlgd4AACAC3GZP/EJCQkaOnRomW2aNWt20evv3r27srOztX//fjVo0EBhYWHFRjIPHLDdyef8kc8iVqvVYRd8dnb2RddTXifzT0qS/H385evl6/T3qypLl0o33ywVFtougdSzp9kVAQAAZ3GZwBkaGqrQ0FCnrT85OVl+fn72yyjFxMRo/PjxysvLk6+vLcgtWbJEDRs2vKRgW9mKQmZ+Qb7JlVSeb7+VBg2ScnOlm26S3nzT7IoAAIAzucwu9YpITU1VSkqKUlNTVVBQoJSUFKWkpOj48eOSpMWLF+v//u//tGnTJu3YsUOzZ8/Wk08+qfvvv98+Qjls2DBZrVbFx8dr06ZNWrhwoZ577jmXO0PdHjgL813yGqEVtWKFdOON0unTtscPPpB8PWfgFgAAlMBlRjgrYsKECZo/f759vnPnzpKk5cuXq2fPnvLx8dFrr72mxMREFRYWKjIyUklJSRo9erT9Z4KCgrR06VKNHj1a0dHRCgkJUWJiohITE6t8e8ri4+Vjf55fmO/Wu9W//1664Qbp1Cnp+uuljz4ibAIAUB1YDE8YNjPJ3r17FRERobS0NDVu3Ngp73Ey/6QCnwuUJO14eIciQyKd8j7OduCA1KKF7daV/ftLn34q+fmZXRUAAOVTFX/zPZlb7lKvTvy9/dU5zDaCO+jdQTp66qjJFV2cDRtsYbN5c2nhQsImAADVCYHTxVksFi0cslANazXU5oObNfDdgfYz191J0QUB2rSR/P3NrQUAAFQtAqcbaBrcVF/d+ZWCrEH6Ie0H3fnJnW53AlFR4CzlTqMAAMCDETjdRPsG7TX/ZtuJUp/+/qnbjXLu3297JHACAFD9EDjdSHpOuiSpe+PuCvQNNLmaiika4SzlmvoAAMCDETjdyMLfF0qS/nLZX0yu5OK52ZEAAACgEhA43cSx08e0fPdySdLNl91sbjEXITzc9piRYW4dAACg6hE43cQXf3yhM4VnFFUvSq3rtja7nAoLCbE9EjgBAKh+3PJOQ9VR0e70m9vcbG4hFZSTI02eLL38sm2+sNDUcgAAgAkInG7g9JnT+vKPLyW5z+50w5A+/lh69FFp3z7bsltvlaZPN7UsAABgAgKnG/hm5zc6kX9CjWo1UnTDaLPLuaDt26WEBOnrr23zkZHSq69K111nbl0AAMAcHMPpBuy70y+7WRaLxeRqSnf6tDRpktSunS1s+vpKEydKmzYRNgEAqM4Y4XRxBYUFWrR1kSTXvhzSr79Kt9wi7dhhm+/Xzzaq2aqVuXUBAADzMcLp4nYe3amDJw/K39tf1zS9xuxySmQY0j332MJmw4bSBx9IX31F2AQAADaMcLq4rNwsSVLdgLry8fIxuZqSffqptGGDVLOm9PPP3E0IAAA4YoTTxeXk5kiSavnWMrmSkhUUSE8/bXv+6KOETQAAUByB08Xl5P0ZOK2uGTjfe0/avFkKDpbGjjW7GgAA4IoInC7OlUc4z5yxnZUuSY8/bgudAAAA5yNwurjcglxJkq+Xr8mVFJeRYbvmpmS7JJJhmFsPAABwTQROFxfiZ7sJ+bHTx8wtpAQREWdHOJOSpH/8g9AJAACKI3C6uDr+dSRJh08dNrmSkk2cePZ2lS+9JI0axf3SAQCAIwKni6sbUFeSdPikawZOSUpMlN58U7JYpFmzpOHDpfx8s6sCAACugsDp4ur62wLn0dNHVWi47tDhyJHSO+9I3t62x9tusx3XCQAAQOB0cUWXQyo0CnUy/6TJ1ZRt6FDbReCtVmnRIunGG6Xjx82uCgAAmI3A6eKyc7MlSTUsNRTgE2ByNRd2ww2221rWrCl9843tnupHj5pdFQAAMBOB08UVnZ0e7BesGhb3+HX17GkLmyEh0po1Uq9e0v79ZlcFAADM4h4JphrLOm27l3pta22TK6mYbt2k11+3Pf/ll7O3vwQAANUPgdPFhfjbrsN55NQRGW5ykcvsbNttLu+6yzbv5yddf725NQEAAPMQOF1ck6AmkmzHcrrixd/PZRjS229LbdpIM2bYbn15883Sli22RwAAUD0ROF1cgE+A6gXUkyTtydpjcjWl++UX6ZprbNfgzMyUWraUvvxSWrhQat7c7OoAAICZCJxuoGlwU0nS7mO7zS2kBFlZ0sMPS1dcIa1aJQUESM89J23aJA0YYHZ1AADAFbhl4JwyZYpiY2MVEBCg4ODgYq/PmzdPFoulxOnAgQOSpN27d5f4+ldffVXFW3NhjWs3liSlZaWZXElx998vzZxpu53lbbdJv/0mjRtnuxYnAACAJHmbXcDFyMvL0+DBgxUTE6M5c+YUe33IkCEacN7wWnx8vE6fPq369es7LF+2bJkuv/xy+3ydOnWcU/Ql2HpoqyQpIijC5EqK27HD9vjvf9vuow4AAHA+twyckydPlmQbySyJv7+//P397fMHDx7Ut99+W2I4rVu3rsLCwpxSZ2U4cOKAfjv0myTp6iZXm1xNcTk5tsd27cytAwAAuC633KVeUf/5z38UEBCg2267rdhrgwYNUv369dWjRw999NFHZa4nNzdX2dnZ9imnKG050fd7vpcktavfTnUD6jr9/Sqq6NaVtWqZWwcAAHBd1SJwvvXWWxo2bJjDqGfNmjU1Y8YMffTRR/riiy/Up08fDRkyRG+//Xap65k6daqCgoLsU1RUlNNrX7lnpSQprmmc09/rYhRlbgInAAAojcsEzkmTJpV6ok/RtH79+gqvd82aNdqyZYvuvfdeh+WhoaEaM2aMunXrpujoaCUlJWnUqFF68cUXS13XuHHjlJWVZZ+2bNlS4Xoqal36OknSlY2udPp7VdTJk4xwAgCAC3OZYzgTEhI0dOjQMts0a9aswuudPXu2OnXqpC5dulywbffu3TV79uxSX7darbKec/p1dnZ2heupqJZ1Wmrt3rX6dve3Gt5xuNPfryLef992sffISOm8c7EAAADsXCZwhoaGKjQ0tFLXefz4cX3wwQeaOnVqudonJycrPDy8Umu4VKO7jtbbv76tdze+qxevfVH1AuuZXZJd0b3SH3hAsljMrQUAALgulwmcFZGamqojR44oNTVVBQUFSklJkSS1bNlSNWvWtLd7//33debMGd15553F1jF//nz5+Pioc+fOqlGjhhYvXqxXXnlFL7zwQlVtRrlc2ehKdQnvog0ZGzQneY6euOoJs0uSJG3YIK1bJ/n4SH/9q9nVAAAAV+aWgXPChAmaP3++fb5z586SpOXLl6tnz5725XPmzNEtt9yikJCQEtfz7LPPas+ePfLy8lLr1q311ltv6a677nJq7RVlsVj0t25/U/z/4vXautf0WOxj8q5h/q/tjTdsj7fdJtVznUFXAADggiyGYRhmF+Gu9u7dq4iICKWlpalx48ZOe5/TZ04r4p8ROnTykJbctUR9W/R12nuVR36+FBIinTghrVxpu4c6AACerKr+5nsqlzlLHaXz8/ZTWE3bxekLjAKTq5GOHLGFTYtFuuoqs6sBAACujsDpBgzD0K6juyRJzYObm1yNVHRyfq1aUg0+QQAA4AKIC27g0MlDOpF/QhZZ1DS4qdnl2ANn7drm1gEAANwDgdMN7DpmG91sWKuh/Lz9TK7m7N2FCJwAAKA8CJxuYMtB2x2NmoeYvztdctylDgAAcCEEThdnGIZeX2+7wnrvZr1Nrsam6LoGHL8JAADKg8jg4n5I+0E/7ftJVi+rRncbbXY5kiRfX9tjXp65dQAAAPdA4HRx01ZPkySN6DhC9QNd44blBE4AAFARBE4XtvXQVi3aukiSlBiTaHI1Z/n42B4JnAAAoDwInC5sXso8GTJ0Y+sb1Sa0jdnl2Hn/eWdNAicAACgPAqcLC/AJMLuEEv3+u+2RO3sBAIDyIHC6sL+0/YskacmOJcrOzTa5mrNWr7Y99uhhbh0AAMA9EDhd2OX1Llfruq2VV5CnL/74wuxy7IoCZ2ysuXUAAAD3QOB0YRaLRbe2vVWS9PFvH5tcjc2RI9Jvv9mex8SYWwsAAHAPBE4X1ySoiSTpiz++kFF0xXUT/fST7bF1ayk01NxaAACAeyBwuqiCwgJNWD5BD33+kCSpW6NuJldks3u37bFtW1PLAAAAbsTb7AJQ3KGThzTs42FaunOpJGlU9CjN6D9DFovF5MqkzEzbY3i4uXUAAAD3QeB0MT/u/VGDPxystOw0BfgE6M0b39SdHe40uyy7osAZFmZuHQAAwH0QOF2EYRh6bd1rGvP1GOUX5qt13db6+PaP1a5+O7NLc3D4sO2xbl1z6wAAAO6DwOkiPtrykRK+TJAk/eWyv2jezfNU21rb5KqKO3XK9hjgmtekBwAALoiThlxE49qN5V3Dlv8PnTyk/IJ8kysq2cmTtkcCJwAAKC8Cp4uIiYjRl3d+qdrW2vo+9Xt1n9Nd2w5vM7usYopGOP39za0DAAC4DwKnC7k28lqtvme1mgY11fYj2xUzJ0ZbD201uywHBE4AAFBRBE4Xc3n9y7X2vrXy8/bTkVNH9OO+H80uyS47W9r256Brgwbm1gIAANwHgdMFJWck6/SZ06rlW0s3X3az2eXYvf++bYSzbVupQwezqwEAAO6CwOmCZqydIUkaecVIlzpTfe5c2+Nf/yq5wDXoAQCAmyBwuphf9/+qZTuXqYalhv525d/MLsfut9+kNWskLy9p+HCzqwEAAO6EwOli/rX2X5KkW9veqmbBzcwt5hzz5tker7+euwwBAICKIXC6mD+O/CFJ9mtyuoovvrA9MroJAAAqisDpYp6/9nnVsNTQu5ve1Xub3jO7HEm2i71v2WJ73qOHubUAAAD343aBc/fu3br33nvVvHlz+fv7q0WLFpo4caLy8vIc2qWmpmrgwIEKDAxUaGioHn744WJtNm7cqLi4OPn7+6tRo0ZKSkqSYRhVuTnFxEbE6smrn5QkPfT5Q0rLSjO1HklKSZEKC2270hs2NLsaAADgblxrv205/P777yosLNQbb7yhli1batOmTRo5cqROnDihadOmSZIKCgp0ww03qF69elq1apUOHz6sESNGyDAMzZw5U5KUnZ2tvn37qlevXlq3bp22bdum+Ph4BQYGauzYsWZuop6+5ml9veNr/bTvJ434dISW3W07icgsGzbYHrt0Ma0EAADgxiyG2UN6leCll17S66+/rp07d0qSvvzyS914441KS0tTwz+H5N577z3Fx8frwIEDql27tl5//XWNGzdO+/fvl9VqlSQ9//zzmjlzpvbu3StLOa77s3fvXkVERCgtLU2NGzeu1G367eBvinotyj5vTDTv13RuV8TGSu3aSW+8YVo5AABUOWf+za8O3G6XekmysrJUp04d+/yaNWvUrl07e9iUpP79+ys3N1cb/hyuW7NmjeLi4uxhs6hNenq6du/eXWW1l8aQa/4/YPVqaeNGs6sAAADuxO12qZ9vx44dmjlzpqZPn25flpmZqQbn3XsxJCREvr6+yszMtLdp1qyZQ5uin8nMzFTz5s2LvVdubq5yc3Pt81lZWZKkjIyMStmWc9VWbT0U9ZBe//l1vXvTu9q7d2+lv0d5/fijtGCB1L69bT4kRDKxHAAAqlzR3/rCwkKTK3FPLhM4J02apMmTJ5fZZt26dYqOjrbPp6ena8CAARo8eLDuu+8+h7Yl7RI3DMNh+fltio4uKG13+tSpU0ussVu3bmXWfanueP4Op64fAACUT1pampo0aWJ2GW7HZQJnQkKChg4dWmabc0ck09PT1atXL8XExOjNN990aBcWFqYff/zRYdnRo0eVn59vH8UMCwuzj3YWOXDggCQVGx0tMm7cOCUmJtrnjxw5oubNm2vTpk0KCgoqewOrqZycHEVFRWnLli2qVauW2eW4HPrnwuijC6OPykb/XBh9dGFZWVlq166d2rZta3YpbsllAmdoaKhCQ0PL1Xbfvn3q1auXunTporlz56pGDcdDUWNiYjRlyhRlZGQoPDxckrRkyRJZrVZ1+fNU65iYGI0fP155eXny9fW1t2nYsGGxXe1FrFarwzGfRSIiIlS7tuvc89yVZGdnS5IaNWpEH5WA/rkw+ujC6KOy0T8XRh9dWFG/eHu7THRyK2530lB6erp69uypiIgITZs2TQcPHlRmZqbDaGW/fv0UFRWl4cOHKzk5Wd98840ee+wxjRw50v6BGTZsmKxWq+Lj47Vp0yYtXLhQzz33nBITE8t1hjoAAADKx+1i+pIlS7R9+3Zt37692GUJio7B9PLy0ueff65Ro0apR48e8vf317Bhw+zX6ZSkoKAgLV26VKNHj1Z0dLRCQkKUmJjosMscAAAAl87tAmd8fLzi4+Mv2K5Jkyb67LPPymzTvn17fffddxddi9Vq1cSJE0vczQ4b+qhs9M+F0UcXRh+Vjf65MProwuijS+MRF34HAACA63K7YzgBAADgXgicAAAAcCoCJwAAAJyKwAkAAACnInBewKRJk2SxWBymsLAw++uGYWjSpElq2LCh/P391bNnT23evNnEip3vu+++08CBA9WwYUNZLBZ9+umnDq+Xp09yc3P1t7/9TaGhoQoMDNSgQYNMvV98ZbtQH8XHxxf7XHXv3t2hjSf30dSpU9W1a1fVqlVL9evX180336ytW7c6tKnOn6Py9E91/wy9/vrr6tChg2rXrq3atWsrJiZGX375pf316vz5KXKhPqrun6HzTZ06VRaLRY8++qh9GZ+jykPgLIfLL79cGRkZ9mnjxo3211588UXNmDFDr776qtatW6ewsDD17dtXOTk5JlbsXCdOnFDHjh316quvlvh6efrk0Ucf1cKFC/Xee+9p1apVOn78uG688UYVFBRU1WY41YX6SJIGDBjg8Ln64osvHF735D5auXKlRo8erbVr12rp0qU6c+aM+vXrpxMnTtjbVOfPUXn6R6ren6HGjRvr+eef1/r167V+/Xr17t1bN910kz0MVOfPT5EL9ZFUvT9D51q3bp3efPNNdejQwWE5n6NKZKBMEydONDp27Fjia4WFhUZYWJjx/PPP25edPn3aCAoKMmbNmlVFFZpLkrFw4UL7fHn65NixY4aPj4/x3nvv2dvs27fPqFGjhvHVV19VWe1V5fw+MgzDGDFihHHTTTeV+jPVrY8OHDhgSDJWrlxpGAafo/Od3z+GwWeoJCEhIcbs2bP5/JShqI8Mg89QkZycHKNVq1bG0qVLjbi4OOORRx4xDIPvocrGCGc5/PHHH2rYsKGaN2+uoUOHaufOnZKkXbt2KTMzU/369bO3tVqtiouL0+rVq80q11Tl6ZMNGzYoPz/foU3Dhg3Vrl27atVvK1asUP369dW6dWuNHDlSBw4csL9W3fooKytLklSnTh1JfI7Od37/FOEzZFNQUKD33ntPJ06cUExMDJ+fEpzfR0X4DEmjR4/WDTfcoGuvvdZhOZ+jyuV2dxqqaldeeaX+85//qHXr1tq/f7+effZZxcbGavPmzfb7tzdo0MDhZxo0aKA9e/aYUa7pytMnmZmZ8vX1VUhISLE2RT/v6a677joNHjxYTZs21a5du/T000+rd+/e2rBhg6xWa7XqI8MwlJiYqKuuukrt2rWTxOfoXCX1j8RnSJI2btyomJgYnT59WjVr1tTChQsVFRVl/0PP56f0PpL4DEnSe++9p59//lnr1q0r9hrfQ5WLwHkB1113nf15+/btFRMToxYtWmj+/Pn2g6stFovDzxiGUWxZdXMxfVKd+m3IkCH25+3atVN0dLSaNm2qzz//XLfcckupP+eJfZSQkKBff/1Vq1atKvYan6PS+4fPkNSmTRulpKTo2LFj+vjjjzVixAitXLnS/jqfn9L7KCoqqtp/htLS0vTII49oyZIl8vPzK7Udn6PKwS71CgoMDFT79u31xx9/2M9WP/9/MQcOHCj2P6Lqojx9EhYWpry8PB09erTUNtVNeHi4mjZtqj/++ENS9emjv/3tb1q0aJGWL1+uxo0b25fzObIprX9KUh0/Q76+vmrZsqWio6M1depUdezYUf/617/4/JyjtD4qSXX7DG3YsEEHDhxQly5d5O3tLW9vb61cuVKvvPKKvL297dvI56hyEDgrKDc3V7/99pvCw8PVvHlzhYWFaenSpfbX8/LytHLlSsXGxppYpXnK0yddunSRj4+PQ5uMjAxt2rSp2vbb4cOHlZaWpvDwcEme30eGYSghIUGffPKJvv32WzVv3tzh9er+ObpQ/5Skun2GSmIYhnJzc6v956csRX1Ukur2GerTp482btyolJQU+xQdHa0777xTKSkpioyM5HNUmar6LCV3M3bsWGPFihXGzp07jbVr1xo33nijUatWLWP37t2GYRjG888/bwQFBRmffPKJsXHjRuOOO+4wwsPDjezsbJMrd56cnBwjOTnZSE5ONiQZM2bMMJKTk409e/YYhlG+PnnwwQeNxo0bG8uWLTN+/vlno3fv3kbHjh2NM2fOmLVZlaqsPsrJyTHGjh1rrF692ti1a5exfPlyIyYmxmjUqFG16aOHHnrICAoKMlasWGFkZGTYp5MnT9rbVOfP0YX6h8+QYYwbN8747rvvjF27dhm//vqrMX78eKNGjRrGkiVLDMOo3p+fImX1EZ+hkp17lrph8DmqTATOCxgyZIgRHh5u+Pj4GA0bNjRuueUWY/PmzfbXCwsLjYkTJxphYWGG1Wo1rrnmGmPjxo0mVux8y5cvNyQVm0aMGGEYRvn65NSpU0ZCQoJRp04dw9/f37jxxhuN1NRUE7bGOcrqo5MnTxr9+vUz6tWrZ/j4+BhNmjQxRowYUWz7PbmPSuobScbcuXPtbarz5+hC/cNnyDDuueceo2nTpoavr69Rr149o0+fPvawaRjV+/NTpKw+4jNUsvMDJ5+jymMxDMOouvFUAAAAVDccwwkAAACnInACAADAqQicAAAAcCoCJwAAAJyKwAkAAACnInACAADAqQicAAAAcCoCJwAAAJyKwAkAAACnInACAADAqQicAAAAcCoCJwAAAJyKwAkAAACnInACAADAqQicAAAAcCoCJwAAAJyKwAkAAACnInACAADAqQicF/Daa6+pefPm8vPzU5cuXfT999+X2X7lypXq0qWL/Pz8FBkZqVmzZlVRpVWjIv3xySefqG/fvqpXr55q166tmJgYff3111VYrXNV9LNR5IcffpC3t7c6derk3AKrWEX7Izc3V08++aSaNm0qq9WqFi1a6K233qqiap2vov2xYMECdezYUQEBAQoPD9df//pXHT58uIqqda7vvvtOAwcOVMOGDWWxWPTpp59e8Gc89bu0on3h6d+jF/PZKOKp36WeisBZhvfff1+PPvqonnzySSUnJ+vqq6/Wddddp9TU1BLb79q1S9dff72uvvpqJScna/z48Xr44Yf18ccfV3HlzlHR/vjuu+/Ut29fffHFF9qwYYN69eqlgQMHKjk5uYorr3wV7YsiWVlZuvvuu9WnT58qqrRqXEx/3H777frmm280Z84cbd26Ve+++64uu+yyKqzaeSraH6tWrdLdd9+te++9V5s3b9aHH36odevW6b777qviyp3jxIkT6tixo1599dVytffk79KK9oUnf49KFe+PIp76XerRDJSqW7duxoMPPuiw7LLLLjOeeOKJEts//vjjxmWXXeaw7IEHHjC6d+/utBqrUkX7oyRRUVHG5MmTK7u0KnexfTFkyBDjqaeeMiZOnGh07NjRiRVWrYr2x5dffmkEBQUZhw8froryqlxF++Oll14yIiMjHZa98sorRuPGjZ1Wo1kkGQsXLiyzjad/lxYpT1+UxFO+R89Xkf7w1O9ST8YIZyny8vK0YcMG9evXz2F5v379tHr16hJ/Zs2aNcXa9+/fX+vXr1d+fr7Taq0KF9Mf5yssLFROTo7q1KnjjBKrzMX2xdy5c7Vjxw5NnDjR2SVWqYvpj0WLFik6OlovvviiGjVqpNatW+uxxx7TqVOnqqJkp7qY/oiNjdXevXv1xRdfyDAM7d+/Xx999JFuuOGGqijZ5Xjyd+ml8pTv0Uvhqd+lns7b7AJc1aFDh1RQUKAGDRo4LG/QoIEyMzNL/JnMzMwS2585c0aHDh1SeHi40+p1tovpj/NNnz5dJ06c0O233+6MEqvMxfTFH3/8oSeeeELff/+9vL0965/dxfTHzp07tWrVKvn5+WnhwoU6dOiQRo0apSNHjrj9cZwX0x+xsbFasGCBhgwZotOnT+vMmTMaNGiQZs6cWRUluxxP/i69VJ7yPXqxPPm71NMxwnkBFovFYd4wjGLLLtS+pOXuqqL9UeTdd9/VpEmT9P7776t+/frOKq9KlbcvCgoKNGzYME2ePFmtW7euqvKqXEU+G4WFhbJYLFqwYIG6deum66+/XjNmzNC8efM8YpRTqlh/bNmyRQ8//LAmTJigDRs26KuvvtKuXbv04IMPVkWpLsnTv0svhid+j1ZEdfku9VT896AUoaGh8vLyKjYiceDAgWL/8y4SFhZWYntvb2/VrVvXabVWhYvpjyLvv/++7r33Xn344Ye69tprnVlmlahoX+Tk5Gj9+vVKTk5WQkKCJFvgMgxD3t7eWrJkiXr37l0ltTvDxXw2wsPD1ahRIwUFBdmXtW3bVoZhaO/evWrVqpVTa3ami+mPqVOnqkePHvr73/8uSerQoYMCAwN19dVX69lnn612I3qe/F16sTzte/RiePp3qadjhLMUvr6+6tKli5YuXeqwfOnSpYqNjS3xZ2JiYoq1X7JkiaKjo+Xj4+O0WqvCxfSHZPsfeXx8vN555x2POR6ton1Ru3Ztbdy4USkpKfbpwQcfVJs2bZSSkqIrr7yyqkp3iov5bPTo0UPp6ek6fvy4fdm2bdtUo0YNNW7c2Kn1OtvF9MfJkydVo4bj17GXl5eksyN71Yknf5deDE/8Hr0Ynv5d6vHMOVfJPbz33nuGj4+PMWfOHGPLli3Go48+agQGBhq7d+82DMMwnnjiCWP48OH29jt37jQCAgKMMWPGGFu2bDHmzJlj+Pj4GB999JFZm1CpKtof77zzjuHt7W38+9//NjIyMuzTsWPHzNqESlPRvjifp51ZWdH+yMnJMRo3bmzcdtttxubNm42VK1carVq1Mu677z6zNqFSVbQ/5s6da3h7exuvvfaasWPHDmPVqlVGdHS00a1bN7M2oVLl5OQYycnJRnJysiHJmDFjhpGcnGzs2bPHMIzq9V1a0b7w5O9Rw6h4f5zP075LPRmB8wL+/e9/G02bNjV8fX2NK664wli5cqX9tREjRhhxcXEO7VesWGF07tzZ8PX1NZo1a2a8/vrrVVyxc1WkP+Li4gxJxaYRI0ZUfeFOUNHPxrk88Uuyov3x22+/Gddee63h7+9vNG7c2EhMTDROnjxZxVU7T0X745VXXjGioqIMf39/Izw83LjzzjuNvXv3VnHVzrF8+fIyvwuq03dpRfvC079HL+azcS5P/C71VBbDqIb7awAAAFBlOIYTAAAATkXgBAAAgFMROAEAAOBUBE4AAAA4FYETAAAATkXgBAAAgFMROC9Bbm6uJk2apNzcXLNLcQn0hyP6wxH9cRZ94Yj+cER/OKI/PEO1vw7na6+9ppdeekkZGRm6/PLL9fLLL+vqq68u189mZ2crKChIWVlZql27tpMrdX30hyP6wxH9cRZ94Yj+cER/OKI/PEO1HuF8//339eijj+rJJ59UcnKyrr76al133XVKTU01uzQAAACPUa0D54wZM3TvvffqvvvuU9u2bfXyyy8rIiJCr7/+utmlAQAAeAxvswswS15enjZs2KAnnnjCYXm/fv20evXqEn8mNzfX4RiSI0eOSJLS0tIUFBTkvGLdRE5OjiRp3759ys7ONrka89EfjuiPs+gLR/SHI/rDkav0R2Fhofbv36/OnTvL27vaxqeLVm177NChQyooKFCDBg0cljdo0ECZmZkl/szUqVM1efLkYsvbtWvnlBrdVVRUlNkluBT6wxH9cRZ94Yj+cER/OHKV/vjpp5/UtWtXs8twO9U2cBaxWCwO84ZhFFtWZNy4cUpMTLTPp6WlqV27dvrpp58UHh7u1DoBAIB5MjIy1K1bt2IDVSifahs4Q0ND5eXlVWw088CBA6V+mKxWq6xWq32+aDd6eHi4Gjdu7LxiAQCAS6hRo1qf/nLRqm2v+fr6qkuXLlq6dKnD8qVLlyo2NtakqgAAADxPtR3hlKTExEQNHz5c0dHRiomJ0ZtvvqnU1FQ9+OCDZpcGAADgMap14BwyZIgOHz6spKQkZWRkqF27dvriiy/UtGlTs0sDAADwGNU6cErSqFGjNGrUKLPLAAAA8FjV9hhOeL4DBw7ogQceUJMmTWS1WhUWFqb+/ftrzZo19jYWi0Wffvpppbzf7t27ZbFYlJKSUma7FStWyGKx6NixY8Ve69SpkyZNmmRvU9Y0b948SdLHH3+snj17KigoSDVr1lSHDh2UlJRkv05seXzyySfq27ev6tWrp9q1aysmJkZff/11sXYff/yxoqKiZLVaFRUVpYULFzq8PnXqVHXt2lW1atVS/fr1dfPNN2vr1q321/Pz8/WPf/xD7du3V2BgoBo2bKi7775b6enpF6zx6NGjGj58uIKCghQUFKThw4cX68NHHnlEXbp0kdVqVadOncq9/StXrlSXLl3k5+enyMhIzZo1y+H1zZs369Zbb1WzZs1ksVj08ssvX3Cdp0+fVnx8vNq3by9vb2/dfPPNxdqU9nv+/fffy1W3YRi67rrrin2Od+/erXvvvVfNmzeXv7+/WrRooYkTJyovL++C67zQ71iy3RK4efPm8vPzU5cuXfT999+Xq14A1ReBEx7r1ltv1S+//KL58+dr27ZtWrRokXr27FmhIFZe5flDXhGxsbHKyMiwT7fffrsGDBjgsGzIkCF68sknNWTIEHXt2lVffvmlNm3apOnTp+uXX37Rf//733K/33fffae+ffvqiy++0IYNG9SrVy8NHDhQycnJ9jZr1qzRkCFDNHz4cP3yyy8aPny4br/9dv3444/2NitXrtTo0aO1du1aLV26VGfOnFG/fv104sQJSdLJkyf1888/6+mnn9bPP/+sTz75RNu2bdOgQYMuWOOwYcOUkpKir776Sl999ZVSUlI0fPhwhzaGYeiee+7RkCFDyr3tu3bt0vXXX6+rr75aycnJGj9+vB5++GF9/PHH9jYnT55UZGSknn/+eYWFhZVrvQUFBfL399fDDz+sa6+9tsy2W7dudfjdtmrVqlzv8fLLL5d4Gbfff/9dhYWFeuONN7R582b985//1KxZszR+/Pgy11ee3zG3BAZwUQxctLS0NEOSkZaWZnYpOM/Ro0cNScaKFStKbdO0aVNDkn1q2rSpYRiGsX37dmPQoEFG/fr1jcDAQCM6OtpYunRpsZ995plnjBEjRhi1a9c27r77bod1STLi4uJKfN/ly5cbkoyjR48We61jx47GxIkTiy0fMWKEcdNNNzks+/HHHw1Jxssvv1xqH1yKqKgoY/Lkyfb522+/3RgwYIBDm/79+xtDhw4tdR0HDhwwJBkrV64stc1PP/1kSDL27NlTapstW7YYkoy1a9fal61Zs8aQZPz+++/F2k+cONHo2LFjqes71+OPP25cdtllDsseeOABo3v37iW2b9q0qfHPf/6zXOsuUtLvzzDK/ixcSEpKitG4cWMjIyPDkGQsXLiwzPYvvvii0bx58zLblOd33K1bN+PBBx90aHPZZZcZTzzxRMU2AHAz/M2/NIxwwiPVrFlTNWvW1KeffupwO9JzrVu3TpI0d+5cZWRk2OePHz+u66+/XsuWLVNycrL69++vgQMHFhvBeemll9SuXTtt2LBBTz/9tH766SdJ0rJly5SRkaFPPvnEiVsoLViwQDVr1iz1GOTg4GBJZ3f1r1ixotzrLiwsVE5OjurUqWNftmbNGvXr18+hXf/+/Uu9FawkZWVlSZLDekpqY7FY7PWWZM2aNQoKCtKVV15pX9a9e3cFBQWV+f7lUdp2rV+/Xvn5+Ze07vLq3LmzwsPD1adPHy1fvtzhtaLd7rt377YvO3nypO644w69+uqr5R5xzcrKKvZ7aNasmSZNmmSfv9DvuOiWwOe3KeuWwAAgsUsdHsrb21vz5s3T/PnzFRwcrB49emj8+PH69ddf7W3q1asnyRbMwsLC7PMdO3bUAw88oPbt26tVq1Z69tlnFRkZqUWLFjm8R+/evfXYY4+pZcuWatmypf3n69atq7CwsDJDVmX4448/FBkZKR8fnzLb+fj4qE2bNgoICCj3uqdPn64TJ07o9ttvty/LzMys0K1gDcNQYmKirrrqqlJv/3r69Gk98cQTGjZsmGrXrl1qPZmZmapfv36x5fXr1y/1/curtO06c+aMDh06dEnrvpDw8HC9+eab+vjjj/XJJ5+oTZs26tOnj7777jt7m4CAALVp08bh9zxmzBjFxsbqpptuKtf77NixQzNnzix2ybcWLVooNDTUPn+h3/HF3BIYACTOUocHu/XWW3XDDTfo+++/15o1a/TVV1/pxRdf1OzZsxUfH1/qz504cUKTJ0/WZ599pvT0dJ05c0anTp0qNsIZHR3t5C0om1HGbVjP1ahRo3KfhCJJ7777riZNmqT//e9/xUJeRW4Fm5CQoF9//VWrVq0q8fX8/HwNHTpUhYWFeu211+zLH3zwQb399tv2+ePHj5f43hd6/5LUrFnT/vyuu+6ynxxU0naV9p6VqU2bNmrTpo19PiYmRmlpaZo2bZquueYaSVK3bt0cfn+LFi3St99+63B8bVnS09M1YMAADR48WPfdd5/Da998802x9uX5HVfkcwAAEoETHs7Pz099+/ZV3759NWHCBN13332aOHFimYHz73//u77++mtNmzZNLVu2lL+/v2677bZiJwYFBgZeVE1FI3lZWVnFdiMfO3bMfsvUC2ndurVWrVql/Pz8C45yltf777+ve++9Vx9++GGxE13CwsLKfSvYv/3tb1q0aJG+++67Em/7mp+fr9tvv127du3St99+6zC6mZSUpMcee6zYe+/fv7/Yeg4ePFih+xqfewWBovcsbbu8vb1Vt27dcq+7snTv3t0hcJ/v22+/1Y4dO4p9dm699VZdffXVDodOpKenq1evXvYbW1zIhX7HF3NLYACQ2KWOaiYqKsp+xrRk291cUFDg0Ob7779XfHy8/vKXv6h9+/YKCwtzOH6uNL6+vpJUbH3na9WqlWrUqGE/ZrRIRkaG9u3b5zDiVZZhw4bp+PHjDqOD5yrpsktleffddxUfH6933nlHN9xwQ7HXY2Jiit0KdsmSJQ63gjUMQwkJCfrkk0/07bffqnnz5sXWUxQ2//jjDy1btqxYqKtfv779MIWWLVva3zsrK8t+nKwk/fjjj8rKyqrQrWjPXW/R6G1p2xUdHV1pQb4ikpOTFR4eXurrTzzxhH799VelpKTYJ0n65z//qblz59rb7du3Tz179tQVV1yhuXPnluv+zxf6HXNLYAAXzbzzldwfZ6y5rkOHDhm9evUy/vvf/xq//PKLsXPnTuODDz4wGjRoYNxzzz32dq1atTIeeughIyMjwzhy5IhhGIZx8803G506dTKSk5ONlJQUY+DAgUatWrWMRx55xP5zJZ2pnJ+fb/j7+xvPPvuskZmZaRw7dqzU+h566CGjSZMmxsKFC42dO3caq1atMuLi4oz27dsb+fn5xdqXdpbz448/bnh5eRl///vfjdWrVxu7d+82li1bZtx22232s9f37t1rtGnTxvjxxx9Lreedd94xvL29jX//+99GRkaGfTp3G3744QfDy8vLeP75543ffvvNeP755w1vb2+HM8cfeughIygoyFixYoXDek6ePGnvo0GDBhmNGzc2UlJSHNrk5uaWWp9hGMaAAQOMDh06GGvWrDHWrFljtG/f3rjxxhsd2vzxxx9GcnKy8cADDxitW7c2kpOTjeTk5DLXvXPnTiMgIMAYM2aMsWXLFmPOnDmGj4+P8dFHH9nb5Obm2tcVHh5uPPbYY0ZycrLxxx9/lFnz5s2bjeTkZGPgwIFGz5497eso8s9//tNYuHChsW3bNmPTpk3GE088YUgyPv74Y3ubH3/80WjTpo2xd+/eUt9H552lvm/fPqNly5ZG7969jb179zr087l69+5tzJw50z5fnt/xe++9Z/j4+Bhz5swxtmzZYjz66KNGYGCgsXv37jL7AnB3/M2/NATOS8CHz3WdPn3aeOKJJ4wrrrjCCAoKMgICAow2bdoYTz31lD38GIZhLFq0yGjZsqXh7e1tvyzSrl27jF69ehn+/v5GRESE8eqrrxpxcXEXDJyGYRj/93//Z0RERBg1atQo9bJIRfUlJSUZbdu2Nfz9/Y2mTZsa8fHxxQJBkdICp2EYxvvvv29cc801Rq1atYzAwECjQ4cORlJSkv1SO7t27TIkGcuXLy+1nri4uGKXdZJkjBgxwqHdhx9+aLRp08bw8fExLrvsModgZBhGieuQZMydO9ehlpKmsuozDMM4fPiwceeddxq1atUyatWqZdx5553FLidU2nbs2rWrzHWvWLHC6Ny5s+Hr62s0a9bMeP311x1eL63usn7HhlH80ltFU5EXXnjBaNGiheHn52eEhIQYV111lfH55587rKPo0kllbcP5gXPu3Lml9vP59Z1/Ga4L/Y4NwzD+/e9/G02bNjV8fX2NK664oszLXgGegr/5l8ZiGH8eHY8K27t3ryIiIpSWllbicWoAAMAz8Df/0nAMJwAAAJyKwAkAAACnInACAADAqQicAAAAcCoCJwAAAJyKwAkAAACnInACAADAqQicAAAAcCoCJwAAAJyKwAkAAACnInACAADAqQicAAAAcCoCJwAAAJyKwAkAAACnInACAADAqQicAAAAcCoCJwAAAJyKwAkAAACnInACAADAqQicAAAAcCqPC5y7d+/Wvffeq+bNm8vf318tWrTQxIkTlZeX59DOYrEUm2bNmmVS1QAAAJ7L2+wCKtvvv/+uwsJCvfHGG2rZsqU2bdqkkSNH6sSJE5o2bZpD27lz52rAgAH2+aCgoKouFwAAwON5XOAcMGCAQ4iMjIzU1q1b9frrrxcLnMHBwQoLC6vqEgEAAKoVj9ulXpKsrCzVqVOn2PKEhASFhoaqa9eumjVrlgoLC8tcT25urrKzs+1TTk6Os0oGAADwGB43wnm+HTt2aObMmZo+fbrD8meeeUZ9+vSRv7+/vvnmG40dO1aHDh3SU089Veq6pk6dqsmTJzu7ZAAAAI9iMQzDMLuI8pg0adIFw966desUHR1tn09PT1dcXJzi4uI0e/bsMn92+vTpSkpKUlZWVqltcnNzlZuba5/ft2+foqKilJaWpsaNG5dzSwAAgLvZu3evIiIi+Jt/kdxmhDMhIUFDhw4ts02zZs3sz9PT09WrVy/FxMTozTffvOD6u3fvruzsbO3fv18NGjQosY3VapXVarXPZ2dnl694AACAasxtAmdoaKhCQ0PL1Xbfvn3q1auXunTporlz56pGjQsfqpqcnCw/Pz8FBwdfYqUAAAA4l9sEzvJKT09Xz5491aRJE02bNk0HDx60v1Z0RvrixYuVmZmpmJgY+fv7a/ny5XryySd1//33O4xgAgAA4NJ5XOBcsmSJtm/fru3btxc7xqLocFUfHx+99tprSkxMVGFhoSIjI5WUlKTRo0ebUTIAAIBHc5uThlwRBxADAFA98Df/0lSL63ACAADAPAROAAAAOBWBEwAAAE5F4AQAAIBTETgBAADgVAROAAAAOBWBEwAAAE5F4AQAAIBTETgBAADgVAROAAAAOBWBEwAAAE5F4AQAAIBTETgBAADgVAROAAAAOBWBEwAAAE5F4AQAAIBTETgBAADgVAROAAAAOBWBEwAAAE5F4AQAAIBTETgBAADgVAROAAAAOBWBEwAAAE5F4AQAAIBTETgBAADgVAROAAAAOBWBEwAAAE5F4AQAAIBTETgBAADgVAROAAAAOBWBEwAAAE7lkYGzWbNmslgsDtMTTzzh0CY1NVUDBw5UYGCgQkND9fDDDysvL8+kigEAADyXt9kFOEtSUpJGjhxpn69Zs6b9eUFBgW644QbVq1dPq1at0uHDhzVixAgZhqGZM2eaUS4AAIDH8tjAWatWLYWFhZX42pIlS7RlyxalpaWpYcOGkqTp06crPj5eU6ZMUe3atauyVAAAAI/mkbvUJemFF15Q3bp11alTJ02ZMsVhd/maNWvUrl07e9iUpP79+ys3N1cbNmwodZ25ubnKzs62Tzk5OU7dBgAAAE/gkSOcjzzyiK644gqFhITop59+0rhx47Rr1y7Nnj1bkpSZmakGDRo4/ExISIh8fX2VmZlZ6nqnTp2qyZMnO7V2AAAAT+M2I5yTJk0qdiLQ+dP69eslSWPGjFFcXJw6dOig++67T7NmzdKcOXN0+PBh+/osFkux9zAMo8TlRcaNG6esrCz7tGXLlsrfUAAAAA/jNiOcCQkJGjp0aJltmjVrVuLy7t27S5K2b9+uunXrKiwsTD/++KNDm6NHjyo/P7/YyOe5rFarrFarfT47O7uc1QMAAFRfbhM4Q0NDFRoaelE/m5ycLEkKDw+XJMXExGjKlCnKyMiwL1uyZImsVqu6dOlSOQUDAABAkhsFzvJas2aN1q5dq169eikoKEjr1q3TmDFjNGjQIDVp0kSS1K9fP0VFRWn48OF66aWXdOTIET322GMaOXIkZ6gDAABUMo8LnFarVe+//74mT56s3NxcNW3aVCNHjtTjjz9ub+Pl5aXPP/9co0aNUo8ePeTv769hw4Zp2rRpJlYOAADgmTwucF5xxRVau3btBds1adJEn332WRVUBAAAUL25zVnqAAAAcE8ETgAAADgVgRMAAABOReAEAACAUxE4AQAA4FQETgAAADgVgRMAAABOReAEAACAUxE4AQAA4FQETgAAADgVgRMAAABOReAEAACAUxE4AQAA4FQETgAAADgVgRMAAABOReAEAACAUxE4AQAA4FQETgAAADgVgRMAAABOReAEAACAUxE4AQAA4FQETgAAADgVgRMAAABOReAEAACAUxE4AQAA4FQETgAAADgVgRMAAABOReAEAACAUxE4AQAA4FQETgAAADiVxwXOFStWyGKxlDitW7fO3q6k12fNmmVi5QAAAJ7J2+wCKltsbKwyMjIclj399NNatmyZoqOjHZbPnTtXAwYMsM8HBQVVSY0AAADViccFTl9fX4WFhdnn8/PztWjRIiUkJMhisTi0DQ4OdmgLAACAyudxu9TPt2jRIh06dEjx8fHFXktISFBoaKi6du2qWbNmqbCwsOoLBAAA8HAeN8J5vjlz5qh///6KiIhwWP7MM8+oT58+8vf31zfffKOxY8fq0KFDeuqpp0pdV25urnJzc+3zOTk5TqsbAADAU7jNCOekSZNKPRmoaFq/fr3Dz+zdu1dff/217r333mLre+qppxQTE6NOnTpp7NixSkpK0ksvvVRmDVOnTlVQUJB9ioqKqtRtBAAA8EQWwzAMs4soj0OHDunQoUNltmnWrJn8/Pzs888884xmzpypffv2ycfHp8yf/eGHH3TVVVcpMzNTDRo0KLHN+SOc+/btU1RUlNLS0tS4ceMKbA0AAHAne/fuVUREBH/zL5Lb7FIPDQ1VaGhoudsbhqG5c+fq7rvvvmDYlKTk5GT5+fkpODi41DZWq1VWq9U+n52dXe56AAAAqiu3CZwV9e2332rXrl0l7k5fvHixMjMzFRMTI39/fy1fvlxPPvmk7r//fodACQAAgEvnsYFzzpw5io2NVdu2bYu95uPjo9dee02JiYkqLCxUZGSkkpKSNHr0aBMqBQAA8GxucwynK+J4DgAAqgf+5l8atzlLHQAAAO6JwAkAAACnInACAADAqQicAAAAcCoCJwAAAJyKwAkAAACnInACAADAqQicAAAAcCoCJwAAAJyKwAkAAACnInACAADAqQicAAAAcCoCJwAAAJyKwAkAAACnInACAADAqQicAAAAcCoCJwAAAJyKwAkAAACnInACAADAqQicAAAAcCoCJwAAAJyKwAkAAACnInACAADAqQicAAAAcCoCJwAAAJyKwAkAAACnInACAADAqQicAAAAcCoCJwAAAJyKwAkAAACnInACAADAqdwycE6ZMkWxsbEKCAhQcHBwiW1SU1M1cOBABQYGKjQ0VA8//LDy8vIc2mzcuFFxcXHy9/dXo0aNlJSUJMMwqmALAAAAqg9vswu4GHl5eRo8eLBiYmI0Z86cYq8XFBTohhtuUL169bRq1SodPnxYI0aMkGEYmjlzpiQpOztbffv2Va9evbRu3Tpt27ZN8fHxCgwM1NixY6t6kwAAADyWWwbOyZMnS5LmzZtX4utLlizRli1blJaWpoYNG0qSpk+frvj4eE2ZMkW1a9fWggULdPr0ac2bN09Wq1Xt2rXTtm3bNGPGDCUmJspisVTV5gAAAHg0t9ylfiFr1qxRu3bt7GFTkvr376/c3Fxt2LDB3iYuLk5Wq9WhTXp6unbv3l3VJQMAAHgsjwycmZmZatCggcOykJAQ+fr6KjMzs9Q2RfNFbc6Xm5ur7Oxs+5STk+OE6gEAADyLywTOSZMmyWKxlDmtX7++3OsraZe4YRgOy89vU3TCUGm706dOnaqgoCD7FBUVVe56AAAAqiuXOYYzISFBQ4cOLbNNs2bNyrWusLAw/fjjjw7Ljh49qvz8fPsoZlhYWLGRzAMHDkhSsZHPIuPGjVNiYqJ9ft++fYROAACAC3CZwBkaGqrQ0NBKWVdMTIymTJmijIwMhYeHS7KdSGS1WtWlSxd7m/HjxysvL0++vr72Ng0bNiw12FqtVodjPrOzsyulXgAAAE/mMrvUKyI1NVUpKSlKTU1VQUGBUlJSlJKSouPHj0uS+vXrp6ioKA0fPlzJycn65ptv9Nhjj2nkyJGqXbu2JGnYsGGyWq2Kj4/Xpk2btHDhQj333HOcoQ4AAFDJXGaEsyImTJig+fPn2+c7d+4sSVq+fLl69uwpLy8vff755xo1apR69Oghf39/DRs2TNOmTbP/TFBQkJYuXarRo0crOjpaISEhSkxMdNhlDgAAgEtnMbi1zkXbu3evIiIilJaWpsaNG5tdDgAAcBL+5l8at9ylDgAAAPdB4AQAAIBTETgBAADgVAROAAAAOBWBEwAAAE5F4AQAAIBTETgBAADgVAROAAAAOBWBEwAAAE5F4AQAAIBTETgBAADgVAROAAAAOBWBEwAAAE5F4AQAAIBTETgBAADgVAROAAAAOBWBEwAAAE5F4AQAAIBTETgBAADgVAROAAAAOBWBEwAAAE5F4AQAAIBTETgBAADgVAROAAAAOBWBEwAAAE5F4AQAAIBTETgBAADgVAROAAAAOBWBEwAAAE5F4AQAAIBTETgBAADgVG4ZOKdMmaLY2FgFBAQoODi42Ou//PKL7rjjDkVERMjf319t27bVv/71L4c2u3fvlsViKTZ99dVXVbQVAAAA1YO32QVcjLy8PA0ePFgxMTGaM2dOsdc3bNigevXq6e2331ZERIRWr16t+++/X15eXkpISHBou2zZMl1++eX2+Tp16ji9fgAAgOrELQPn5MmTJUnz5s0r8fV77rnHYT4yMlJr1qzRJ598Uixw1q1bV2FhYU6pEwAAAG66S/1iZGVllTh6OWjQINWvX189evTQRx99ZEJlAAAAns0tRzgras2aNfrggw/0+eef25fVrFlTM2bMUI8ePVSjRg0tWrRIQ4YM0fz583XXXXeVuJ7c3Fzl5uba53NycpxeOwAAgLtzmRHOSZMmlXgSz7nT+vXrK7zezZs366abbtKECRPUt29f+/LQ0FCNGTNG3bp1U3R0tJKSkjRq1Ci9+OKLpa5r6tSpCgoKsk9RUVEXta0AAADVicuMcCYkJGjo0KFltmnWrFmF1rllyxb17t1bI0eO1FNPPXXB9t27d9fs2bNLfX3cuHFKTEy0z+/bt4/QCQAAcAEuEzhDQ0MVGhpaaevbvHmzevfurREjRmjKlCnl+pnk5GSFh4eX+rrVapXVarXPZ2dnX3KdAAAAns5lAmdFpKam6siRI0pNTVVBQYFSUlIkSS1btlTNmjW1efNm9erVS/369VNiYqIyMzMlSV5eXqpXr54kaf78+fLx8VHnzp1Vo0YNLV68WK+88opeeOEFszYLAADAI7ll4JwwYYLmz59vn+/cubMkafny5erZs6c+/PBDHTx4UAsWLNCCBQvs7Zo2bardu3fb55999lnt2bNHXl5eat26td56661STxgCAADAxbEYhmGYXYS72rt3ryIiIpSWlqbGjRubXQ4AAHAS/uZfGpc5Sx0AAACeicAJAAAApyJwAgAAwKkInAAAAHAqAicAAACcisAJAAAApyJwAgAAwKkInAAAAHAqAicAAACcisAJAAAApyJwAgAAwKkInAAAAHAqAicAAACcisAJAAAApyJwAgAAwKkInAAAAHAqAicAAACcisAJAAAApyJwAgAAwKkInAAAAHAqAicAAACcisAJAAAApyJwAgAAwKkInAAAAHAqAicAAACcisAJAAAApyJwAgAAwKkInAAAAHAqAicAAACcisAJAAAApyJwAgAAwKncMnBOmTJFsbGxCggIUHBwcIltLBZLsWnWrFkObTZu3Ki4uDj5+/urUaNGSkpKkmEYVbAFAAAA1Ye32QVcjLy8PA0ePFgxMTGaM2dOqe3mzp2rAQMG2OeDgoLsz7Ozs9W3b1/16tVL69at07Zt2xQfH6/AwECNHTvWqfUDAABUJ24ZOCdPnixJmjdvXpntgoODFRYWVuJrCxYs0OnTpzVv3jxZrVa1a9dO27Zt04wZM5SYmCiLxVLZZQMAAFRLbrlLvbwSEhIUGhqqrl27atasWSosLLS/tmbNGsXFxclqtdqX9e/fX+np6dq9e3eJ68vNzVV2drZ9ysnJcfYmAAAAuD2PDZzPPPOMPvzwQy1btkxDhw7V2LFj9dxzz9lfz8zMVIMGDRx+pmg+MzOzxHVOnTpVQUFB9ikqKsp5GwAAAOAhXCZwTpo0qcQTfc6d1q9fX+71PfXUU4qJiVGnTp00duxYJSUl6aWXXnJoc/5u86IThkrbnT5u3DhlZWXZpy1btlRwKwEAAKoflzmGMyEhQUOHDi2zTbNmzS56/d27d1d2drb279+vBg0aKCwsrNhI5oEDBySp2MhnEavV6rALPjs7+6LrAQAAqC5cJnCGhoYqNDTUaetPTk6Wn5+f/TJKMTExGj9+vPLy8uTr6ytJWrJkiRo2bHhJwRYAAACOXCZwVkRqaqqOHDmi1NRUFRQUKCUlRZLUsmVL1axZU4sXL1ZmZqZiYmLk7++v5cuX68knn9T9999vH6EcNmyYJk+erPj4eI0fP15//PGHnnvuOU2YMIEz1AEAACqRWwbOCRMmaP78+fb5zp07S5KWL1+unj17ysfHR6+99poSExNVWFioyMhIJSUlafTo0fafCQoK0tKlSzV69GhFR0crJCREiYmJSkxMrPLtAQAA8GQWg1vrXLS9e/cqIiJCaWlpaty4sdnlAAAAJ+Fv/qVxmbPUAQAA4JkInAAAAHAqAicAAACcisAJAAAApyJwAgAAwKkInAAAAHAqAicAAACcisAJAAAApyJwAgAAwKkInAAAAHAqAicAAACcisAJAAAApyJwAgAAwKkInAAAAHAqAqeLG75wuGpPra3ZP882u5RyCw2VgoOl1FSzKwEAAK7A2+wCULZT+aeUk5ej/IJ8s0spt6NHpcJCyZtPFwAAECOcqGQFBbawKUlWq7m1AAAA10DgRKXKzT373NfXvDoAAIDrIHCiUuXlnX3OCCcAAJAInC7vTOEZs0uokHNHOH18zKsDAAC4DgKnC9t6aKu+2v6VJCkyJNLkaspn7VrbY6NGksVibi0AAMA1EDhdVKFRqPsW36fcglxd1/I69WvRz+ySyuXtt22PQ4aYWwcAAHAdBE4X9eaGN7UqdZUCfQL1+g2vy+IGw4VZWdLixbbnw4ebWwsAAHAdBE4X9favtqHCh6IfUtPgpiZXUz7r19uO4WzSROrY0exqAACAqyBwuqhBbQZJkr7c/qUMwzC5mvJp1Mj2ePiw5CYlAwCAKkDgdFH3d7lfNX1ravPBzfYTh1xdixa2uwudOCHt22d2NQAAwFUQOF1UsF+w7r/ifknSS6tfMrma8vHxkVq2tD3/7TdzawEAAK6DwOnCHun+iLwsXlq+e7k2pG8wu5xyadvW9kjgBAAARQicLqxJUBMNbTdUkvTautdMrqZ8WrSwPe7ebWoZAADAhRA4XdzIK0ZKkj767SOdyj9lcjUXdvq07TEw0Nw6AACA6yBwurirm16tJkFNlJ2brUVbF5ldzgVlZdkeg4LMrQMAALgOtwycU6ZMUWxsrAICAhQcHFzs9Xnz5slisZQ4HThwQJK0e/fuEl//6ivXOiO8hqWG7mp/lyTp7Y1vm1zNhRE4AQDA+dwycObl5Wnw4MF66KGHSnx9yJAhysjIcJj69++vuLg41a9f36HtsmXLHNr17t27KjahQoZ3tN2256vtX+ngiYMmV1O2Y8dsjwROAABQxNvsAi7G5MmTJdlGMkvi7+8vf39/+/zBgwf17bffas6cOcXa1q1bV2FhYU6ps7I0rNVQNX1r6njeca3du1YD2ww0u6QS5eZKW7fanoeGmlsLAABwHW45wllR//nPfxQQEKDbbrut2GuDBg1S/fr11aNHD3300Udlric3N1fZ2dn2KScnx1klO3hsyWM6nndckSGR6t3c9UZgiyxYIO3fLzVsKF11ldnVAAAAV1EtAudbb72lYcOGOYx61qxZUzNmzNBHH32kL774Qn369NGQIUP09tulHyc5depUBQUF2aeoqCin175kxxL938//J0mae9NcBfq65unfhYXSS39en37MGMlqNbceAADgOlwmcE6aNKnUE32KpvXr11d4vWvWrNGWLVt07733OiwPDQ3VmDFj1K1bN0VHRyspKUmjRo3Siy++WOq6xo0bp6ysLPu0ZcuWCtdTEdm52bpv0X2SpL91+5uuaXqNU9/vUixeLP3+u+3YzfvvN7saAADgSlzmGM6EhAQNHTq0zDbNmjWr8Hpnz56tTp06qUuXLhds2717d82ePbvU161Wq6znDN1lZ2dXuJ6K+PuSvystO02RIZGa2meqU9/rUhiG9MILtucPPSTVrm1uPQAAwLW4TOAMDQ1VaCWfaXL8+HF98MEHmjq1fGEtOTlZ4eHhlVrDxTpTeEZzU+ZKkkZFj3LZXemStGqVtGaNbTf6I4+YXQ0AAHA1LhM4KyI1NVVHjhxRamqqCgoKlJKSIklq2bKlatasaW/3/vvv68yZM7rzzjuLrWP+/Pny8fFR586dVaNGDS1evFivvPKKXigaqjOZdw1vPdDlAb267lUlfZekgW0GqnXd1maXVaLnn7c9xsdLLn7CPwAAMIFbBs4JEyZo/vz59vnOnTtLkpYvX66ePXval8+ZM0e33HKLQkJCSlzPs88+qz179sjLy0utW7fWW2+9pbvuusuptVfE9P7TlZyZrB/SftBf3v+L1t67VrWstcwuy8HGjdIXX0g1akiPPWZ2NQAAwBVZDMMwzC7CXe3du1cRERFKS0tT48aNnfIemccz1eXNLkrPSdctbW/RR4M/ksViccp7XYzhw6W335Zuv116/32zqwEAwDmq4m++J3OZs9RRsrCaYfr49o/lU8NHn/z2iaaucp2Th3bvlt591/b8H/8wtRQAAODCCJxuoHvj7nr1+lclSU8vf1rr0yt+eShnePJJqaBAuvZa6YorzK4GAAC4KgKnm7i/y/0acvkQFRqFunfRvcovyDe1nqVLpXfesR27Wc6LAAAAgGqKwOlGXrnuFdX1r6tf9/+qF38o/QL1znb6tDRqlO356NFSdLRppQAAADdA4HQj9QPr618D/iVJSvouSb8f+t2UOp57Ttq+3XbP9GefNaUEAADgRgicbmZY+2G6vtX1yivI072L7lWhUVil7//772evu/mvf3FXIQAAcGEETjdzPO+46vjXkSStTlut3w7+VqXv/8YbUn6+dN110q23VulbAwAAN+WWF36vrj7f9rke/PxB7c3eK0m6/4r71bZe2yqt4dgx22NcnORClwMFAAAujMDpBg6eOKhHvnpE726yXfQyMiRSb974pvpE9qnyWvL/PDnex6fK3xoAALgpAqcLMwxDCzYu0KNfParDpw6rhqWGErsnanKvyQrwCTClJgInAACoKAKnizp44qDu/vRufbX9K0lSxwYdNWfQHHVp2MXUugicAACgogicLuqVH1+xh80pvafo77F/l4+X+SnvyBHbo5+fuXUAAAD3wVnqLurmy26Wr5evJMnXy9clwmZ2trR6te15TIy5tQAAAPdB4HRRXRp2sV/k/YllT2jl7pUmVyQtWWLbpd6qldSmjdnVAAAAd0HgdGEPdHlAwzsMV4FRoDs+vkOnz5w2tZ7Fi22PAweaWgYAAHAzBE4XZrFYNOvGWQqvGa6M4xlasXuFabUUFEhffGF7TuAEAAAVQeB0cQE+AbqpzU2SpEVbF5lWx48/SocOScHBUo8eppUBAADcEIHTDQxqM0iSLXAahmFKDUW70wcM4JJIAACgYgicbqBX814K9AnUvpx9Ss5MNqWGzz6zPbI7HQAAVBSB0w34efupf8v+kmz3U69qqanSpk2Sl5dthBMAAKAiCJxuokFgA0ky5Uz1X36xPbZrJ9WpU+VvDwAA3ByB0038ceQPSVKruq2q/r1tb63Wrav8rQEAgAcgcLqJ7Ue2S5Ja1mlZ5e9dFDhbVX3WBQAAHoDA6QZyz+QqNStVktSqjnkjnAROAABwMQicbmDn0Z0qNApV07em6gfWr/L3J3ACAIBLQeB0Az/t+0mS1L5+e1kslip97/R021nqNWpIl19epW8NAAA8BIHTDazcs1KSFNc0rsrfe/ly22Pnzra7DAEAAFQUgdMNfLfnO0nSNU2vqfL3LgqcvXpV+VsDAAAPQeB0cfuy92nH0R2qYamh2IjYKn//FStsjwROAABwsQicLm7ZzmWSpE5hnRTkF1Sl771vn7Rjh+0OQ1ddVaVvDQAAPIjbBc7du3fr3nvvVfPmzeXv768WLVpo4sSJysvLc2iXmpqqgQMHKjAwUKGhoXr44YeLtdm4caPi4uLk7++vRo0aKSkpSYZhVOXmlCm/IF/PrXpOkjSo9aAqf//CQtujxSL5+FT52wMAAA/hbXYBFfX777+rsLBQb7zxhlq2bKlNmzZp5MiROnHihKZNmyZJKigo0A033KB69epp1apVOnz4sEaMGCHDMDRz5kxJUnZ2tvr27atevXpp3bp12rZtm+Lj4xUYGKixY8eauYl2s3+erW2Ht6leQD2NiRlT5e/fuLFUr5508KDt9pbdu1d5CQAAwAO4XeAcMGCABgwYYJ+PjIzU1q1b9frrr9sD55IlS7RlyxalpaWpYcOGkqTp06crPj5eU6ZMUe3atbVgwQKdPn1a8+bNk9VqVbt27bRt2zbNmDFDiYmJVX75ofPl5OZo0spJkqSJcRNV21q7ymuwWKSuXaUvvpDWrSNwAgCAi+N2u9RLkpWVpTp16tjn16xZo3bt2tnDpiT1799fubm52rBhg71NXFycrFarQ5v09HTt3r27ymovzbTV03TgxAG1qtNK93e537Q6una1Pa5bZ1oJAADAzbndCOf5duzYoZkzZ2r69On2ZZmZmWrQoIFDu5CQEPn6+iozM9PeplmzZg5tin4mMzNTzZs3L/Zeubm5ys3Ntc9nZWVJkjIyMiplW4oczz+ul759STojJVyeoP0Z+yt1/RVR1A2rV0t795pWBgAApir6W19YdIIDKsRlAuekSZM0efLkMtusW7dO0dHR9vn09HQNGDBAgwcP1n333efQtqRd4oZhOCw/v03RCUOl7U6fOnVqiTV269atzLovxSPPP6JH9IjT1l9eO3ZIERFmVwEAgLnS0tLUpEkTs8twOy4TOBMSEjR06NAy25w7Ipmenq5evXopJiZGb775pkO7sLAw/fjjjw7Ljh49qvz8fPsoZlhYmH20s8iBAwf+n707D4uqbP8A/h22YccFEBBEcMdd0AQ13DX33krNUig1TUkNrVxKkTR9K31LS20htHLLrbTc0AA1cUNwQ3MDAQURF0CU/fn9MT9GR3Zk5swM3891zTUz5zxzzj03xzO3z1keACjRO1pszpw5CAwMVL6/d+8e3NzccP78edjYaPaWRboiKysLHh4eiIuLg5WVldThaB3mp2LMUcWYo/IxPxVjjiqWkZGBNm3aoFWrVlKHopO0puC0tbWFra1tpdrevHkTvXr1gqenJ0JDQ2FgoHoqqre3NxYvXoyUlBQ4OjoCUFxIJJfL4enpqWwzd+5c5OXlwcTERNnGycmpxKH2YnK5XOWcz2IuLi6wttb8RT26IDMzEwDQsGFD5qgUzE/FmKOKMUflY34qxhxVrDgvRkZaUzrpFJ27aOjWrVvo2bMnXFxc8OWXX+LOnTtITU1V6a3s378/PDw8MHbsWMTExODgwYOYNWsWJk6cqNxgxowZA7lcDn9/f5w/fx47duzAZ599phVXqBMRERHpE50r0/fv34+rV6/i6tWrcHZ2VplXfA6moaEh/vrrL0yZMgXdunWDmZkZxowZo7xtEgDY2NggLCwMU6dOhZeXF+rWrYvAwECVQ+ZERERE9Px0ruD09/eHv79/he0aNWqEP//8s9w2bdu2xaFDh6odi1wux4IFC0o9zE4KzFH5mJ+KMUcVY47Kx/xUjDmqGHP0fGRCm8ZyJCIiIiK9o3PncBIRERGRbmHBSURERERqxYKTiIiIiNSKBScRERERqRULzgoEBQVBJpOpPBwcHJTzhRAICgqCk5MTzMzM0LNnT1y4cEHCiNXv0KFDGDp0KJycnCCTyfD777+rzK9MTnJzc/Hee+/B1tYWFhYWGDZsGJL1aLD2inLk7+9fYrvq2rWrSht9ztGSJUvQuXNnWFlZwd7eHiNGjMC///6r0qY2b0eVyU9t34ZWr16Ndu3awdraGtbW1vD29saePXuU82vz9lOsohzV9m3oWUuWLIFMJsOMGTOU07gd1RwWnJXQunVrpKSkKB/nzp1Tzvv888+xfPlyfPPNNzh58iQcHBzQr18/ZGVlSRixemVnZ6N9+/b45ptvSp1fmZzMmDEDO3bswKZNm3DkyBE8fPgQQ4YMQWFhoaa+hlpVlCMAGDhwoMp2tXv3bpX5+pyjyMhITJ06FceOHUNYWBgKCgrQv39/ZGdnK9vU5u2oMvkBavc25OzsjKVLl+LUqVM4deoUevfujeHDhyuLgdq8/RSrKEdA7d6Gnnby5El8//33aNeuncp0bkc1SFC5FixYINq3b1/qvKKiIuHg4CCWLl2qnJaTkyNsbGzEmjVrNBShtACIHTt2KN9XJicPHjwQxsbGYtOmTco2N2/eFAYGBmLv3r0ai11Tns2REEL4+fmJ4cOHl/mZ2pajtLQ0AUBERkYKIbgdPevZ/AjBbag0devWFT/++CO3n3IU50gIbkPFsrKyRLNmzURYWJjw9fUV06dPF0JwP1TT2MNZCVeuXIGTkxPc3NwwevRoXL9+HQAQHx+P1NRU9O/fX9lWLpfD19cXR48elSpcSVUmJ9HR0cjPz1dp4+TkhDZt2tSqvEVERMDe3h7NmzfHxIkTkZaWppxX23KUkZEBAKhXrx4AbkfPejY/xbgNKRQWFmLTpk3Izs6Gt7c3t59SPJujYtyGgKlTp2Lw4MHo27evynRuRzVL50Ya0rQXXngBP//8M5o3b47bt29j0aJF8PHxwYULF5Tjtzdo0EDlMw0aNMCNGzekCFdylclJamoqTExMULdu3RJtij+v71566SW89tprcHV1RXx8PD755BP07t0b0dHRkMvltSpHQggEBgaie/fuaNOmDQBuR08rLT8AtyEAOHfuHLy9vZGTkwNLS0vs2LEDHh4eyh96bj9l5wjgNgQAmzZtwunTp3Hy5MkS87gfqlksOCvw0ksvKV+3bdsW3t7eaNKkCdatW6c8uVomk6l8RghRYlptU52c1Ka8jRo1Svm6TZs28PLygqurK/766y/85z//KfNz+pijgIAAnD17FkeOHCkxj9tR2fnhNgS0aNECsbGxePDgAbZt2wY/Pz9ERkYq53P7KTtHHh4etX4bSkpKwvTp07F//36YmpqW2Y7bUc3gIfUqsrCwQNu2bXHlyhXl1erP/i8mLS2txP+IaovK5MTBwQF5eXm4f/9+mW1qG0dHR7i6uuLKlSsAak+O3nvvPezcuRPh4eFwdnZWTud2pFBWfkpTG7chExMTNG3aFF5eXliyZAnat2+Pr7/+mtvPU8rKUWlq2zYUHR2NtLQ0eHp6wsjICEZGRoiMjMSKFStgZGSk/I7cjmoGC84qys3NxcWLF+Ho6Ag3Nzc4ODggLCxMOT8vLw+RkZHw8fGRMErpVCYnnp6eMDY2VmmTkpKC8+fP19q83b17F0lJSXB0dASg/zkSQiAgIADbt2/H33//DTc3N5X5tX07qig/palt21BphBDIzc2t9dtPeYpzVJratg316dMH586dQ2xsrPLh5eWFN954A7GxsXB3d+d2VJM0fZWSrpk5c6aIiIgQ169fF8eOHRNDhgwRVlZWIiEhQQghxNKlS4WNjY3Yvn27OHfunHj99deFo6OjyMzMlDhy9cnKyhIxMTEiJiZGABDLly8XMTEx4saNG0KIyuVk8uTJwtnZWRw4cECcPn1a9O7dW7Rv314UFBRI9bVqVHk5ysrKEjNnzhRHjx4V8fHxIjw8XHh7e4uGDRvWmhy9++67wsbGRkRERIiUlBTl49GjR8o2tXk7qig/3IaEmDNnjjh06JCIj48XZ8+eFXPnzhUGBgZi//79Qojavf0UKy9H3IZK9/RV6kJwO6pJLDgrMGrUKOHo6CiMjY2Fk5OT+M9//iMuXLignF9UVCQWLFggHBwchFwuFy+++KI4d+6chBGrX3h4uABQ4uHn5yeEqFxOHj9+LAICAkS9evWEmZmZGDJkiEhMTJTg26hHeTl69OiR6N+/v7CzsxPGxsaiUaNGws/Pr8T31+cclZYbACI0NFTZpjZvRxXlh9uQEG+//bZwdXUVJiYmws7OTvTp00dZbApRu7efYuXliNtQ6Z4tOLkd1RyZEEJorj+ViIiIiGobnsNJRERERGrFgpOIiIiI1IoFJxERERGpFQtOIiIiIlIrFpxEREREpFYsOImIiIhIrVhwEhEREZFaseAkIiIiIrViwUlEREREasWCk4iIiIjUigUnEREREakVC04iIiIiUisWnERERESkViw4iYiIiEitWHASERERkVqx4CQiIiIitWLBSURERERqxYKTiIiIiNSKBWcFVq1aBTc3N5iamsLT0xOHDx8ut31kZCQ8PT1hamoKd3d3rFmzRkORakZV8rF9+3b069cPdnZ2sLa2hre3N/bt26fBaNWrqttGsX/++QdGRkbo0KGDegPUsKrmIzc3F/PmzYOrqyvkcjmaNGmCn376SUPRql9V87F+/Xq0b98e5ubmcHR0xFtvvYW7d+9qKFr1OnToEIYOHQonJyfIZDL8/vvvFX5GX/elVc2Fvu9Hq7NtFNPXfam+YsFZjs2bN2PGjBmYN28eYmJi0KNHD7z00ktITEwstX18fDwGDRqEHj16ICYmBnPnzsW0adOwbds2DUeuHlXNx6FDh9CvXz/s3r0b0dHR6NWrF4YOHYqYmBgNR17zqpqLYhkZGRg3bhz69OmjoUg1ozr5GDlyJA4ePIiQkBD8+++/2LhxI1q2bKnBqNWnqvk4cuQIxo0bh/Hjx+PChQvYsmULTp48iQkTJmg4cvXIzs5G+/bt8c0331SqvT7vS6uaC33ejwJVz0cxfd2X6jVBZerSpYuYPHmyyrSWLVuK2bNnl9r+ww8/FC1btlSZNmnSJNG1a1e1xahJVc1HaTw8PMTChQtrOjSNq24uRo0aJT7++GOxYMEC0b59ezVGqFlVzceePXuEjY2NuHv3ribC07iq5uOLL74Q7u7uKtNWrFghnJ2d1RajVACIHTt2lNtG3/elxSqTi9Loy370WVXJh77uS/UZezjLkJeXh+joaPTv319lev/+/XH06NFSPxMVFVWi/YABA3Dq1Cnk5+erLVZNqE4+nlVUVISsrCzUq1dPHSFqTHVzERoaimvXrmHBggXqDlGjqpOPnTt3wsvLC59//jkaNmyI5s2bY9asWXj8+LEmQlar6uTDx8cHycnJ2L17N4QQuH37NrZu3YrBgwdrImSto8/70uelL/vR56Gv+1J9ZyR1ANoqPT0dhYWFaNCggcr0Bg0aIDU1tdTPpKamltq+oKAA6enpcHR0VFu86ladfDxr2bJlyM7OxsiRI9URosZUJxdXrlzB7NmzcfjwYRgZ6dc/u+rk4/r16zhy5AhMTU2xY8cOpKenY8qUKbh3757On8dZnXz4+Phg/fr1GDVqFHJyclBQUIBhw4Zh5cqVmghZ6+jzvvR56ct+tLr0eV+q79jDWQGZTKbyXghRYlpF7Uubrquqmo9iGzduRFBQEDZv3gx7e3t1hadRlc1FYWEhxowZg4ULF6J58+aaCk/jqrJtFBUVQSaTYf369ejSpQsGDRqE5cuXY+3atXrRywlULR9xcXGYNm0a5s+fj+joaOzduxfx8fGYPHmyJkLVSvq+L60OfdyPVkVt2ZfqK/73oAy2trYwNDQs0SORlpZW4n/exRwcHEptb2RkhPr166stVk2oTj6Kbd68GePHj8eWLVvQt29fdYapEVXNRVZWFk6dOoWYmBgEBAQAUBRcQggYGRlh//796N27t0ZiV4fqbBuOjo5o2LAhbGxslNNatWoFIQSSk5PRrFkztcasTtXJx5IlS9CtWzd88MEHAIB27drBwsICPXr0wKJFi2pdj54+70urS9/2o9Wh7/tSfccezjKYmJjA09MTYWFhKtPDwsLg4+NT6me8vb1LtN+/fz+8vLxgbGystlg1oTr5ABT/I/f398eGDRv05ny0qubC2toa586dQ2xsrPIxefJktGjRArGxsXjhhRc0FbpaVGfb6NatG27duoWHDx8qp12+fBkGBgZwdnZWa7zqVp18PHr0CAYGqrtjQ0NDAE969moTfd6XVoc+7kerQ9/3pXpPmmuVdMOmTZuEsbGxCAkJEXFxcWLGjBnCwsJCJCQkCCGEmD17thg7dqyy/fXr14W5ubl4//33RVxcnAgJCRHGxsZi69atUn2FGlXVfGzYsEEYGRmJb7/9VqSkpCgfDx48kOor1Jiq5uJZ+nZlZVXzkZWVJZydncWrr74qLly4ICIjI0WzZs3EhAkTpPoKNaqq+QgNDRVGRkZi1apV4tq1a+LIkSPCy8tLdOnSRaqvUKOysrJETEyMiImJEQDE8uXLRUxMjLhx44YQonbtS6uaC33ejwpR9Xw8S9/2pfqMBWcFvv32W+Hq6ipMTExEp06dRGRkpHKen5+f8PX1VWkfEREhOnbsKExMTETjxo3F6tWrNRyxelUlH76+vgJAiYefn5/mA1eDqm4bT9PHnWRV83Hx4kXRt29fYWZmJpydnUVgYKB49OiRhqNWn6rmY8WKFcLDw0OYmZkJR0dH8cYbb4jk5GQNR60e4eHh5e4LatO+tKq50Pf9aHW2jafp475UX8mEqIXHa4iIiIhIY3gOJxERERGpFQtOIiIiIlIrFpxEREREpFYsOImIiIhIrVhwEhEREZFaseAkIiIiIrViwfkccnNzERQUhNzcXKlD0QrMhyrmQxXz8QRzoYr5UMV8qGI+9EOtvw/nqlWr8MUXXyAlJQWtW7fGV199hR49elTqs5mZmbCxsUFGRgasra3VHKn2Yz5UMR+qmI8nmAtVzIcq5kMV86EfanUP5+bNmzFjxgzMmzcPMTEx6NGjB1566SUkJiZKHRoRERGR3qjVBefy5csxfvx4TJgwAa1atcJXX30FFxcXrF69WurQiIiIiPSGkdQBSCUvLw/R0dGYPXu2yvT+/fvj6NGjpX4mNzdX5RySe/fuAQCSkpJgY2OjvmB1RFZWFgDg5s2byMzMlDga6TEfqpiPJ5gLVcyHKuZDlbbko6ioCLdv30bHjh1hZFRry6dqq7UZS09PR2FhIRo0aKAyvUGDBkhNTS31M0uWLMHChQtLTG/Tpo1aYtRVHh4eUoegVZgPVczHE8yFKuZDFfOhSlvyceLECXTu3FnqMHROrS04i8lkMpX3QogS04rNmTMHgYGByvdJSUlo06YNTpw4AUdHR7XGSURERNJJSUlBly5dSnRUUeXU2oLT1tYWhoaGJXoz09LSytyY5HI55HK58n3xYXRHR0c4OzurL1giIiLSCgYGtfryl2qrtVkzMTGBp6cnwsLCVKaHhYXBx8dHoqiIiIiI9E+t7eEEgMDAQIwdOxZeXl7w9vbG999/j8TEREyePFnq0IiIiIj0Rq0uOEeNGoW7d+8iODgYKSkpaNOmDXbv3g1XV1epQyMiIiLSG7W64ASAKVOmYMqUKVKHQURERKS3au05nKT/0tLSMGnSJDRq1AhyuRwODg4YMGAAoqKilG1kMhl+//33GllfQkICZDIZYmNjy20XEREBmUyGBw8elJjXoUMHBAUFKduU91i7di0AYNu2bejZsydsbGxgaWmJdu3aITg4WHmf2MrYvn07+vXrBzs7O1hbW8Pb2xv79u0r0W7btm3w8PCAXC6Hh4cHduzYoTJ/yZIl6Ny5M6ysrGBvb48RI0bg33//Vc7Pz8/HRx99hLZt28LCwgJOTk4YN24cbt26VWGM9+/fx9ixY2FjYwMbGxuMHTu2RA6nT58OT09PyOVydOjQodLfPzIyEp6enjA1NYW7uzvWrFmjMv/ChQt45ZVX0LhxY8hkMnz11VcVLjMnJwf+/v5o27YtjIyMMGLEiFLbrV+/Hu3bt4e5uTkcHR3x1ltv4e7du+UuOzc3F++99x5sbW1hYWGBYcOGITk5WTm/vO3n5MmT5S67or8xoBgS2M3NDaampvD09MThw4crzAcR1W4sOElvvfLKKzhz5gzWrVuHy5cvY+fOnejZs2eVCrHKysvLq9Hl+fj4ICUlRfkYOXIkBg4cqDJt1KhRmDdvHkaNGoXOnTtjz549OH/+PJYtW4YzZ87gl19+qfT6Dh06hH79+mH37t2Ijo5Gr169MHToUMTExCjbREVFYdSoURg7dizOnDmDsWPHYuTIkTh+/LiyTWRkJKZOnYpjx44hLCwMBQUF6N+/P7KzswEAjx49wunTp/HJJ5/g9OnT2L59Oy5fvoxhw4ZVGOOYMWMQGxuLvXv3Yu/evYiNjcXYsWNV2ggh8Pbbb2PUqFGV/u7x8fEYNGgQevTogZiYGMydOxfTpk3Dtm3blG0ePXoEd3d3LF26FA4ODpVabmFhIczMzDBt2jT07du31DZHjhzBuHHjMH78eFy4cAFbtmzByZMnMWHChHKXPWPGDOzYsQObNm3CkSNH8PDhQwwZMgSFhYUASm4/KSkpmDBhAho3bgwvL68yl1uZvzGHBCaiahFUbUlJSQKASEpKkjoUesb9+/cFABEREVFmG1dXVwFA+XB1dRVCCHH16lUxbNgwYW9vLywsLISXl5cICwsr8dlPP/1U+Pn5CWtrazFu3DiVZQEQvr6+pa43PDxcABD3798vMa99+/ZiwYIFJab7+fmJ4cOHq0w7fvy4ACC++uqrMnPwPDw8PMTChQuV70eOHCkGDhyo0mbAgAFi9OjRZS4jLS1NABCRkZFltjlx4oQAIG7cuFFmm7i4OAFAHDt2TDktKipKABCXLl0q0X7BggWiffv2ZS7vaR9++KFo2bKlyrRJkyaJrl27ltre1dVV/O9//6vUsouV9vcTQogvvvhCuLu7q0xbsWKFcHZ2LnNZDx48EMbGxmLTpk3KaTdv3hQGBgZi7969pX4mLy9P2Nvbi+Dg4HLjrMzfuEuXLmLy5MkqbVq2bClmz55d7rKJdB1/858PezhJL1laWsLS0hK///67ynCkTys+tBgaGoqUlBTl+4cPH2LQoEE4cOAAYmJiMGDAAAwdOrRED84XX3yBNm3aIDo6Gp988glOnDgBADhw4ABSUlKwfft2NX5DxaFYS0vLMs9BrlOnDoAnh/ojIiIqveyioiJkZWWhXr16ymlRUVHo37+/SrsBAwaUORQsAGRkZACAynJKayOTyZTxliYqKgo2NjZ44YUXlNO6du0KGxubctdfGWV9r1OnTiE/P/+5ll0RHx8fJCcnY/fu3RBC4Pbt29i6dSsGDx6sbFN8eDwhIQEAEB0djfz8fJWYnZyc0KZNmzJzsXPnTqSnp8Pf319leuPGjREUFKR8X9HfuHhI4GfblDckMBERwEPqpKeMjIywdu1arFu3DnXq1EG3bt0wd+5cnD17VtnGzs4OgKIwc3BwUL5v3749Jk2ahLZt26JZs2ZYtGgR3N3dsXPnTpV19O7dG7NmzULTpk3RtGlT5efr168PBweHcousmnDlyhW4u7vD2Ni43HbGxsZo0aIFzM3NK73sZcuWITs7GyNHjlROS01NrdJQsEIIBAYGonv37mUO/5qTk4PZs2djzJgxsLa2LjOe1NRU2Nvbl5hub29f5vorq6zvVVBQgPT09OdadkV8fHywfv16jBo1CiYmJnBwcECdOnWwcuVKZRtzc3O0aNFC+XdOTU2FiYkJ6tatWyLmsnIREhKCAQMGwMXFRWV6kyZNYGtrq3xf0d+4OkMCExEBLDhJj73yyiu4desWdu7ciQEDBiAiIgKdOnVSXmxTluzsbHz44Yfw8PBAnTp1YGlpiUuXLpXo4SzvXDhNEOUMw/q0hg0b4tKlS+jSpUullrtx40YEBQVh8+bNJYq8qgwFGxAQgLNnz2Ljxo2lzs/Pz8fo0aNRVFSEVatWKadPnjxZ2UNtaWlZ5rorWn9pnl7u0/fbLe17lbXOmhQXF4dp06Zh/vz5iI6Oxt69exEfH68SW5cuXXDp0iU0bNiw3GWVlYvk5GTs27cP48ePLzHv4MGDCAgIUJlWmb9xVbYDIiKAt0UiPWdqaop+/fqhX79+mD9/PiZMmIAFCxaUOLT4tA8++AD79u3Dl19+iaZNm8LMzAyvvvpqiQuDLCwsqhVTcU9eRkZGicPIDx48UA6ZWpHmzZvjyJEjyM/Pr7CXs7I2b96M8ePHY8uWLSUudHFwcKj0ULDvvfcedu7ciUOHDpU67Gt+fj5GjhyJ+Ph4/P333yq9m8HBwZg1a1aJdd++fbvEcu7cuVOlcY2fvoNA8TrL+l5GRkaoX79+pZddHUuWLEG3bt3wwQcfAADatWsHCwsL9OjRA4sWLYKjo2OJzzg4OCAvLw/3799X6eVMS0srdZS00NBQ1K9fv1IXZlX0N67OkMBERAB7OKmW8fDwUF4xDSgONxdf2Vvs8OHD8Pf3x8svv4y2bdvCwcFBef5ceUxMTACgxPKe1axZMxgYGJS4PU1KSgpu3ryJFi1aVOq7jBkzBg8fPlTpHXxaabddKs/GjRvh7++PDRs2qJxDWMzb27vEULD79+9XKXKEEAgICMD27dvx999/w83NrcRyiovNK1eu4MCBAyWKOnt7e+VpCk2bNlWuOyMjQ3meLAAcP34cGRkZVRqK9unlFvfelvW9vLy8aqyQL8ujR49KjMtsaGgI4Ekv67M8PT1hbGysEnNKSgrOnz9fIhdCCISGhmLcuHGV+i4V/Y05JDARVZs01yrpB16xpr3S09NFr169xC+//CLOnDkjrl+/Ln777TfRoEED8fbbbyvbNWvWTLz77rsiJSVF3Lt3TwghxIgRI0SHDh1ETEyMiI2NFUOHDhVWVlZi+vTpys+VdqVyfn6+MDMzE4sWLRKpqaniwYMHZcb37rvvikaNGokdO3aI69eviyNHjghfX1/Rtm1bkZ+fX6J9WVc5f/jhh8LQ0FB88MEH4ujRoyIhIUEcOHBAvPrqq8qr15OTk0WLFi3E8ePHy4xnw4YNwsjISHz77bciJSVF+Xj6O/zzzz/C0NBQLF26VFy8eFEsXbpUGBkZqVw5/u677wobGxsRERGhspxHjx4pczRs2DDh7OwsYmNjVdrk5uaWGZ8QQgwcOFC0a9dOREVFiaioKNG2bVsxZMgQlTZXrlwRMTExYtKkSaJ58+YiJiZGxMTElLvs69evC3Nzc/H++++LuLg4ERISIoyNjcXWrVuVbXJzc5XLcnR0FLNmzRIxMTHiypUr5cZ84cIFERMTI4YOHSp69uypXEax0NBQYWRkJFatWiWuXbsmjhw5Iry8vESXLl2UbY4fPy5atGghkpOTldMmT54snJ2dxYEDB8Tp06dF7969Rfv27UVBQYHK+g8cOCAAiLi4uFLj6927t1i5cqXyfWX+xps2bRLGxsYiJCRExMXFiRkzZggLCwuRkJBQbi6IdB1/858PC87nwI1Pe+Xk5IjZs2eLTp06CRsbG2Fubi5atGghPv74Y2XxI4QQO3fuFE2bNhVGRkbK2yLFx8eLXr16CTMzM+Hi4iK++eYb4evrW2HBKYQQP/zwg3BxcREGBgZl3hapOL7g4GDRqlUrYWZmJlxdXYW/v79ISUkptX1ZBacQQmzevFm8+OKLwsrKSlhYWIh27dqJ4OBg5W2R4uPjBQARHh5eZjy+vr4lbusEQPj5+am027Jli2jRooUwNjYWLVu2FNu2bVOZX9oyAIjQ0FCVWEp7lBefEELcvXtXvPHGG8LKykpYWVmJN954o8Stn8r6HvHx8eUuOyIiQnTs2FGYmJiIxo0bi9WrV6vMLyvu8v7GQpS89Vbx42krVqwQHh4ewszMTDg6Ooo33nhDpbgsvo3W09/h8ePHIiAgQNSrV0+YmZmJIUOGiMTExBLrf/3114WPj0+58T17G66K/sZCCPHtt98KV1dXYWJiIjp16lTuba+I9AV/85+PTIgyjttQhZKTk+Hi4oKkpKRSz1MjIiIi/cDf/OfDcziJiIiISK1YcBIRERGRWrHgJCIiIiK1YsFJRERERGrFgpOIiIiI1IoFJxERERGpFQtOIiIiIlIrFpxEREREpFYsOImIiIhIrVhwEhEREZFaseAkIiIiIrViwUlEREREasWCk4iIiIjUigUnEREREakVC04iIiIiUisWnERERESkViw4iYio2kJCgOBgIDVV6kiISJsZSR0AERHprsWLgfh4oG9fwMFB6miISFuxh5OIiKqtfn3F89270sZBRNqNBScRUS1y9d5VXL57ucaWV1xw3rtXY4skIj2kdwVnQkICxo8fDzc3N5iZmaFJkyZYsGAB8vLyVNrJZLISjzVr1kgUNRGReqVlpyFgdwBafdsK0/ZMq7HlsoeTiCpD787hvHTpEoqKivDdd9+hadOmOH/+PCZOnIjs7Gx8+eWXKm1DQ0MxcOBA5XsbGxtNh0tEpFYP8x5iedRyfHH0CzzMewgAMJAZ4FH+I5gbm0scHRHVFnpXcA4cOFCliHR3d8e///6L1atXlyg469SpAwee5U5Eeii/MB8hMSEIigjC7ezbAAAvJy983vdz9HLrVWPrychQPFtb19giiUgP6d0h9dJkZGSgXr16JaYHBATA1tYWnTt3xpo1a1BUVFTucnJzc5GZmal8ZGVlqStkIqJqEUJgx8UdaLO6Dd79613czr4N97ru2PTKJhyfcLxGi00AyMxUPPMAERGVR+96OJ917do1rFy5EsuWLVOZ/umnn6JPnz4wMzPDwYMHMXPmTKSnp+Pjjz8uc1lLlizBwoUL1R0yEVG1/JP4Dz488CGOJh0FANia2+KTFz/BZK/JMDE0Ucs6i3s4WXASUXlkQgghdRCVERQUVGGxd/LkSXh5eSnf37p1C76+vvD19cWPP/5Y7meXLVuG4OBgZBTvPUuRm5uL3Nxc5fubN2/Cw8MDSUlJcHZ2ruQ3ISKqebuv7MbgDYMBAGZGZgj0DsSH3T6EtVy9x7obNwZu3ACiooCuXdW6KiJJJScnw8XFhb/51aQzPZwBAQEYPXp0uW0aN26sfH3r1i306tUL3t7e+P777ytcfteuXZGZmYnbt2+jQYMGpbaRy+WQy+XK95nFx5KIiCT2dA/mt4O+xVsd31L7OoV4MsKQnZ3aV0dEOkxnCk5bW1vY2tpWqu3NmzfRq1cveHp6IjQ0FAYGFZ+qGhMTA1NTU9SpU+c5IyUi0ry+7n0xxWsKVp1ahZn7Z6Jn455wq+um1nXeuQPk5gIyGcAOHyIqj84UnJV169Yt9OzZE40aNcKXX36JO3fuKOcVX5G+a9cupKamwtvbG2ZmZggPD8e8efPwzjvvqPRgEhHpkuUDluNUyimcuHkCr/z2Co6OPwpTI1O1rS8pSfHs4ABw10lE5dG7gnP//v24evUqrl69WuIci+LTVY2NjbFq1SoEBgaiqKgI7u7uCA4OxtSpU6UImYioRsiN5Nj62lZ0+r4TYlJjELA7AD8OK//89eeRmKh4btRIbasgIj2hd7dF8vf3hxCi1EexgQMHIiYmBllZWcjOzsa5c+cwffp0GBnpXf1NRLWMi40LNr6yEQAQEhOCPVf2qG1dLDiJqLL0ruAkIqrt4u7EKV+bGZupbT337yuei4e3JCIqCwtOIiI98vul3zFj7wwAwJI+S9CzcU+1rSsnR/Fspr6aloj0BAtOIiI9cSb1DMZsGwMBgUmek/BRt4/Uuj4WnERUWSw4iYj0RNj1MDwueIw6pnXw9cCvIZPJ1Lq+4nEwTNQziBER6REWnEREesK/gz/qmNbBg5wHWBu7Vu3rKypSPFfiVsdEVMtxN0FEpCdszW2xsKdiCOB5f8/D/cf31bo+FpxEVFncTRAR6ZF3vd6Fh50H7j6+iwURC9S6ruK7zbHgJKKKcDdBRKRHsvKyMKz5MADAqpOrVG6RVNPYw0lElcU7nRMR6SghBOIfxONI4hEcSTyCf5L+USkwC0UhTtw8AQ87D7Wsv/iiIY6ZQUQV4W6CiEhH5Bfm48ztM8ri8kjiEaQ+TC3RrkX9Fujm0g09G/fE6Daj1RZP8Y3f69VT2yqISE+w4CQi0mInb57Ersu78E/SPziWfAyP8h+pzDc2MIaXkxe6uXRD90bd4ePiAzsLO43Edveu4pkjDRFRRVhwEhFpoWv3ruGjAx9h28VtKtPrmNZBN5duygLTy8lLrcNXlic9XfHMHk4iqggLTiIiLXLv8T0sOrQI35z4BvlF+TCQGeBVj1fRu3FvdG/UHa3sWsFAJv1VOvn5wI0bitdubtLGQkTajwUnEZEWyCvMw6qTqxAcGYz7OYqTIwc0GYAv+n2Btg3aShxdSfHxQGEhYG4OODlJHQ0RaTsWnEREEhJCYPvF7fjowEe4dv8aAKCNfRt82e9LDGg6QOLoynb5suK5eXNAzSNoEpEeYMFJRCSR6FvRmLFvBo4kHgEAOFg64NNen+KtDm/B0MBQ4ujK93TBSURUERacREQSOHHzBHzX+iKnIAdmRmaY5TMLH3b7EJYmllKHVinx8YpnV1dp4yAi3cCCk4hIwxIzEjFs4zDkFOSgr3tfhA4PhbO1s9RhVUmjRornq1eljYOIdAMLTiIiDXqY9xDDNg7D7ezbaGvfFttHboeV3ErqsKrM21vxHBWlGFOd53ESUXmkv7cGEVEtkZKVgiEbhuDM7TOwt7DHrtd36WSxCQCenoohLVNTn9weiYioLCw4iYg04K/Lf6HdmnaIvBEJc2Nz/DH6D7jW0d0TIM3MgIYNFa9v35Y2FiLSfiw4iYjUKKcgB9P3TMeQjUOQ/igdHRw6IPqdaHR17ip1aM+tsFDxbGwsbRxEpP14DicRkZpcvHMRr297HWdunwEAzHhhBpb2XQq5kVziyGpGQYHi2Yi/JERUAe4miIhqmBACP57+EdP3TsfjgsewM7fD2hFrMajZIKlDq1EsOImosribICKqYYsOLcL8iPkAgH7u/bBuxDo4WjlKHFXNY8FJRJXF3QQRUQ27na24iqauaV1sHbkV1nJriSNSj8ePFc9y/ThDgIjUiBcNERHVsOBewXCxdsH9nPuYunsqhBBSh1TjcnMVDwCw1s96mohqEAtOIqIaVs+sHja8sgGGMkP8evZX/HL2F6lDqnFZWU9eW+nmrUSJSINYcBIRqUH3Rt3xUbePAADrzqyTOJqa9/Ch4lku5zmcRFQxFpxERGriZOUEAHp5Dmd+vuLZxETaOIhIN7DgJCJSk1tZtwAADa0aShxJzeMV6kRUFXpZcDZu3BgymUzlMXv2bJU2iYmJGDp0KCwsLGBra4tp06YhLy9PooiJSB/deqgoOIt7OvVJccHJUYaIqDL09v+mwcHBmDhxovK9paWl8nVhYSEGDx4MOzs7HDlyBHfv3oWfnx+EEFi5cqUU4RKRHrqZeROAfvZwFh9SZw8nEVWG3u4qrKys4ODgUOq8/fv3Iy4uDklJSXByUvQ8LFu2DP7+/li8eDGseY8PInpO526fw+HEwwAA97ruEkdT83hInYiqQi8PqQPAf//7X9SvXx8dOnTA4sWLVQ6XR0VFoU2bNspiEwAGDBiA3NxcREdHl7nM3NxcZGZmKh9ZT98XhIjo/2XlZuHVLa8ipyAHA5sORLdG3aQOqcYVFSmeDQ2ljYOIdINe/t90+vTp6NSpE+rWrYsTJ05gzpw5iI+Px48//ggASE1NRYMGDVQ+U7duXZiYmCA1NbXM5S5ZsgQLFy5Ua+xEpNuEEHjnz3dw+e5lOFs745eXf4GBTP/+b19YqHhmwUlElaEze8GgoKASFwI9+zh16hQA4P3334evry/atWuHCRMmYM2aNQgJCcHdu3eVy5PJZCXWIYQodXqxOXPmICMjQ/mIi4ur+S9KRDrt0I1D2HR+Ewxlhtj86mbYmttKHZJaFPdwGujMrwgRSUlnejgDAgIwevTocts0bty41Oldu3YFAFy9ehX169eHg4MDjh8/rtLm/v37yM/PL9Hz+TS5XA75U4MGZ2ZmVjJ6IqotGlorLhAqEkVwtHSUOBr1Ke7h5DmcRFQZOrOrsLW1ha1t9XoKYmJiAACOjoqdv7e3NxYvXoyUlBTltP3790Mul8PT07NmAiaiWqlpvabo694XB64fwA+nf8BnfT6TOiS14EVDRFQVencwJCoqCv/73/8QGxuL+Ph4/Pbbb5g0aRKGDRuGRo0aAQD69+8PDw8PjB07FjExMTh48CBmzZqFiRMn8gp1Inpukz0nAwBCYkKQV6if9/dlwUlEVaF3BadcLsfmzZvRs2dPeHh4YP78+Zg4cSI2btyobGNoaIi//voLpqam6NatG0aOHIkRI0bgyy+/lDByItIXw1oMg6OlI9Ky0/D7pd+lDkctigtOXjRERJWhd/837dSpE44dO1Zhu0aNGuHPP//UQEREVJs8yn+EDec2KK9M/+3CbxjZeqTEUdU89nASUVVwV0FEVAMSHiRg1clV+PH0j7ifcx8AYG5sjiHNh0gcmXo8fKh4trCQNg4i0g0sOImIqkkIgb/j/8bKEyux6/IuFAnFvYLc6rhhauepeLvj26hrVlfiKNUjI0PxbGMjbRxEpBtYcBIRVUP6o3QMWj8IJ2+dVE7r594P73V5D4OaDYKhgX6f3MiCk4iqggUnEVEV5Rbk4uXNL+PkrZOwMLaAfwd/BHQJQEvbllKHpjEPHiieWXASUWWw4CQiqgIhBMbvHI8jiUdgI7dB1PgotLJrJXVYGpeWpnhmwUlElaF3t0UiIlKn4MhgrD+3HkYGRtg2clutLDZzc4FduxSvX3hB2liISDew4CQiqqT1Z9cjKDIIALBq0Cr0ce8jbUAS2bkTuHcPaNgQ6NdP6miISBfwkDoR0TOEEEjLTsPF9Iu4eOciLqVfwsX0i4i8EQkA+MDnA0z0nChxlJqXmwv88QcQFKR47+fHG78TUeWw4CSiWquwqBAJDxJKFJaX0i8p76X5rNc8XsPSvks1HKm0YmKAn34CNmxQ9GwCgLU1MGGCtHERke5gwUlEeu9x/mNcvnv5SWF59xIu3rmIy3cvI7cwt9TPyCCDW103tLJthVa2rdDStiVa27fGCw1fgEwm0/A30Lz0dGD9eiA0FDhz5sn0hg0Bf39g/HjAzU2y8IhIx7DgJCK9cffRXWUv5dOFZcKDBAiIUj8jN5SjhW0LlcKylV0rNK/fHKZGphr+BtIqKAD27VMUmTt3Avn5iukmJsDLLwNvvQX07cvD6ERUdSw4iUinFIkiJGUklVpY3nl0p8zP1TWti1Z2rUoUlq42rnp/k/aK/Puvosj8+WcgJeXJdE9PRZH5+utAvXrSxUdEuo8FJxGVqbCoEHmFeTX+yC3MrfZnUx6m4FH+ozJjdrF2URaWLW1bKgpMu1awM7erFYfCn1VQANy+Ddy6Bdy8WfI5KQm4dOlJe1tb4M03FYVmu3bSxU1E+oUFJ5GGCSGQX5SvlkKupou84rHBtY2RgRGa1WtWorBsYdsCliaWUoenEUIA9++XXkQ+/Xz7NlBUwZ/RwAAYNEhRZA4ZojiETkRUk1hwkt4oLCpEflE+cguq33tWqUdRFYq8UmLJL8qXOlXVZmRgBLmhHCaGJpI96pvVh3tddxgbGkudDrV59Kj8IrL4kZNTueUZGgKOjoCTk+Kin6efnZwUPZkNGqj3OxFR7caCkzQmvzAfV+9dRdydOFxKv4SM3IwaLQQLRaHUX7FaZJBBbvQcRZyBZgo9Y0NjGMg4VkRNePBAcd7kpUvAlStAcrJqQVk8Tnll1K9fsoh8uphs2BCws+OFPkQkLRacVOPyCvNw5e4VxN2JQ9ydOFy4cwFxd+Jw+e5ljfbuGRsYS9oTV9GjuKewtl+woq8KC4GEhCeF5dPPt29X/Hlzc0WxWFYR6eSk6LU0rV0X0hORjmLBSdWWW5CLy3cvlygsr9y7goKiglI/Y2FsAQ87D3jYecDO3K5mCrdSegeNDYxr5QUipHkZGYoi8tnC8upVxcg8ZXFyAlq2BJo3Bxo1KllYWlsD3ISJSF+w4KQK5RTk4N/0f0sUllfvXS3zMLaViZWysGxt11rxbN8aztbOPCxLOqewEEhMLL238unbCD1LLlcUlC1bAi1aPHlu3lxRUBIR1RYsOEnpcf5jXEq/VKKwvHb/WplXK1vLrZ8UlP//7GHnAWdrZ/Ywks7Jyiq9t/LKlfIv0HFwKFlUtmyp6LnkuZNERCw4a7W4O3H49eyvOJ92HnF34nD9/vUyR2OpY1qn1MLSycqJhSXprEOHgE2bnhSWt26V3dbEBGjWrGRR2aIFYGOjuZiJiHQRC85a6OKdiwg+FIzN5zeXKDDrmdVTKSiLXztYOrCwJL1y+DDQp4/ixuhPs7cvWVS2bAm4ugJG3GMSEVULd5+1yKX0SwiODMam85uUhebwFsPR172vsrC0t7BnYUl679Yt4LXXFMXmgAHA6NFPCsy6daWOjohI/7DgrAX+Tf8Xnx76FBvPb1Sei/lyy5cx33c+Ojh0kDY4Ig3LywNefVVxa6K2bYFt2wALC6mjIiLSbyw49djlu5fx6aFPseHcBmWhObzFcCzwXYCOjh0ljo5IGu+/D0RFAXXqADt2sNgkItIEFpx6KC07DR+EfYBfz/6qLDSHtRiGBb4L0Mmxk8TREUkjLw/49ltg1SrF/S3XrweaNJE6KiKi2oEFpx767PBn+PnMzwCAoc2HYoHvAng6eUocFZHmCQHExgKhocCGDcDdu4rpCxYAgwZJGhoRUa3CglMPxd2JAwD8b8D/MKPrDGmDIZJAWpqiB3PtWuDs2SfTnZyAKVOAOXMkC42IqFZiwamHrt2/BgDwdGSvJtUe+fnAX38pisy//npyuyO5HBgxAnjrLaBvX96InYhICiw49Ux+YT5uPLgBAGhSjyeoUe0QGwu8+SZw4cKTaV26KIrMUaN4qyMiIqnp3aDWERERkMlkpT5OnjypbFfa/DVr1kgYec0oKCpQjm9uLedgzaTfCguBzz9XFJcXLgD16wMffKB4ffw4MHkyi00iIm2gdz2cPj4+SElJUZn2ySef4MCBA/Dy8lKZHhoaioEDByrf2+jB+HQmhibK17kFubA0sZQwGiL1SUgA/PwUw1MCisPm338P2NlJGRUREZVG7wpOExMTODg4KN/n5+dj586dCAgIKDGCTp06dVTa6gNDA0MYygxRKAqRV5gndThENU4I4JdfgIAAICsLsLQEVqwA/P0VtzsiIiLto3eH1J+1c+dOpKenw9/fv8S8gIAA2NraonPnzlizZg2Kioo0H6AaFPdy5hbmShwJUc26e1cxJKWfn6LY7NYNOHNGca4mi00iIu2ldz2czwoJCcGAAQPg4uKiMv3TTz9Fnz59YGZmhoMHD2LmzJlIT0/Hxx9/XOaycnNzkZv7pIjLyspSW9zVdfXeVeU5nOzhJH1y9iwweDCQnAwYGQHBwcCHH/KqcyIiXaAzPZxBQUFlXgxU/Dh16pTKZ5KTk7Fv3z6MHz++xPI+/vhjeHt7o0OHDpg5cyaCg4PxxRdflBvDkiVLYGNjo3x4eHjU6Hd8XlFJUfAO8UZeYR6a1WsG97ruUodEVCP27QO6d1cUm82bKy4ImjOHxSYRka6QCSGE1EFURnp6OtLT08tt07hxY5iamirff/rpp1i5ciVu3rwJY2Pjcj/7zz//oHv37khNTUWDBg1KbfNsD+fNmzfh4eGBpKQkODs7V+Hb1LytcVvx5vY3kVuYC09HT/w55k84WOrX+alUO333HTB1quKK9F69gG3beOU5EWlecnIyXFxctOI3XxfpzCF1W1tb2NraVrq9EAKhoaEYN25chcUmAMTExMDU1BR16tQps41cLodcLle+z8zMrHQ86iKEwLKoZfgg7AMAiqEsN76yERYmFhJHRvR8iooUvZiff6547+enuArdxKT8zxERkfbRmYKzqv7++2/Ex8eXejh9165dSE1Nhbe3N8zMzBAeHo558+bhnXfeUSkotV1BUQGm7ZmG1adWAwACOgfgq4FfwdCAxxlJtz1+DIwbB2zdqngfHAx8/DEvDCIi0lV6W3CGhITAx8cHrVq1KjHP2NgYq1atQmBgIIqKiuDu7o7g4GBMnTpVgkirb374fKw+tRoyyLB8wHJMf2F6iVs/EemaS5eAN94ATp9W9GaGhChGESIiIt2ltwXnhg0bypw3cOBAlRu+66rcAsX5pH3c+2BG1xnSBkP0nIQAVq8GZs1S9HDWr684X9PXV+rIiIjoeenMVepU0tsd3wYAhMeH41bWLYmjIaq+1FTFLY+mTlUUm/37K26DxGKTiEg/sODUYa3tW6N7o+4oFIUIOR0idThE1XLyJNC2LbBnDyCXK0YN2rMHcHKSOjIiIqopentIvTbIys3Cg5wHAIAr965IGwxRNb3/PpCeDrRvD6xfD7RuLXVERERU01hw6qiCogKM3jYa59POo4FFAyzqvUjqkIiq7MQJ4J9/AGNjRa+mo6PUERERkTrwkLqOmrlvJnZf2Q1TI1PsfH0nGtk0kjokoir73/8Uz2PGsNgkItJnLDh10LcnvsWKEysAAL+8/Au6NOwicUREVZeYCGzZonj9/vvSxkJEROrFglPHRCZEYtreaQCAz3p/hlc9XpU4IqKqKygAFi5UDFfZu7fi/E0iItJfPIdTx2w8vxFFogivtHoFs7vPljocoio7fx54+23F1ekA8MEH0sZDRETqxx5OHWNiqBhIukX9FhxViHRKXp5iiMpOnRTFpo0NEBoK6MEYDEREVAH2cOoYKxMrAMDDvIcSR0JUedHRil7Ns2cV74cNU4wqxHttEhHVDuzh1DGWJpYAWHCSbsjJAebMAV54QVFs2toCGzcCv//OYpOIqDZhD6eOURac+Sw4SbvduAEMGAD8+6/i/ejRilGE7OykjYuIiDSPBaeOsTG1AQDcf3xf4kiIyrdggaLYdHRUHD4fPlzqiIiISCosOHWMg6UDACD1YarEkRCV7f59YPNmxett2wBvb2njISIiafEcTh3jaKkYjiXlYYrEkRCVTgjg++8V52+2bQt07Sp1REREJDX2cOoYRytFwZn+KB35hfkwNjSWOCIixS2PIiKAP/4Adu4EkpMV0995B+Ddu4iIiAWnjqljWkf5OjM3E/XN60sXDNVq9+8De/Yoisw9e4CsrCfzzM0VFwlNmCBdfEREpD1YcOoYIwMjmBqZIqcgB1l5WSw4SaMSEhQ9mH/8ARw6pBiispiDg+L+msOGAX36AKamkoVJRERahgWnDrIysVIUnLlZFTcmeg5CKG7aXnyovPjG7cVat1ZcfT5sGNC5M2DAs8KJiKgULDh1kJXcCnce3UFWHgtOqnmZmcDhw8CffwK7dgE3bz6ZZ2AA9OjxpMhs0kS6OImISHew4NRB5sbmAIDsvGyJIyF9cP++osCMjFQ8YmKAoqIn8y0sFOOdDx8ODBoE1OdZHEREVEUsOHVQSpbilkgNLBtIHAnport3FedfFheYZ84oDp0/rUkToG9fRZHZqxfPxyQioufDglPHPMh5gLuP7wIA3Ou6SxwN6YK0tCfFZWQkcP58yTYtWgC+vk8eDRtqPk4iItJfLDh1zLV71wAADSwaKMdVJ3paSoqisIyIUDxfulSyjYeHorDs2RN48UXFFeZERETqwoJTx1y9dxUA0LReU4kjIW2Rm6sYPjI8XFFgXrlSsk27dk96L198EbCz03ycRERUe7Hg1DE3Mm4AABrZNJI4EtIGZ84Ab76pephcJgM6dnxSYPboAdSrJ12MRERELDh1TEMrxcl18Q/iJY6EpFRYCHzxBTB/PpCfr+ix9PNTFJjduwN16kgdIRER0RMsOHVM54adAQCxqbEcS72WunZNUVz+84/i/YgRwPff8zA5ERFpL44LomOa1muKOqZ1kFOQgwt3LkgdDmmQEMAPPwDt2yuKTSsrIDQU2L6dxSYREWk39nDqmJyCHOQV5gEADGWGEkdDmpKSArzzjmL0H0Bx4c+6dUDjxpKGRUREVCns4dQxe6/uxaP8R2hcpzHa2LeROhxSs9xc4L//Vdwn888/ARMT4MsvFVeks9gkIiJdoZMF5+LFi+Hj4wNzc3PUKePqiMTERAwdOhQWFhawtbXFtGnTkJeXp9Lm3Llz8PX1hZmZGRo2bIjg4GCIZ4dc0TLbLm4DALzS6hXIZDKJoyF1EQLYsUNxv8zZs4GsLKBzZ+DUKWDmTMWY5kRERLpCJw+p5+Xl4bXXXoO3tzdCQkJKzC8sLMTgwYNhZ2eHI0eO4O7du/Dz84MQAitXrgQAZGZmol+/fujVqxdOnjyJy5cvw9/fHxYWFpg5c6amv1Kl5Bbk4s/LimOqr7R6ReJoSF3OnAHef1/RiwkAjo7A0qWK2x+x0CQiIl2kkwXnwoULAQBr164tdf7+/fsRFxeHpKQkODk5AQCWLVsGf39/LF68GNbW1li/fj1ycnKwdu1ayOVytGnTBpcvX8by5csRGBiolb2HB64fQGZuJpysnPCC8wtSh0M1LCVFcZujn34CiooAuRyYNUvRw2nJQaWIiEiH6WV/SVRUFNq0aaMsNgFgwIAByM3NRXR0tLKNr68v5HK5Sptbt24hISFB0yFXSvHh9JdbvgwDmV7+6Wqlhw+BBQuApk2BH39UFJsjRwL//gssWsRik4iIdJ9O9nBWJDU1FQ0aNFCZVrduXZiYmCA1NVXZpvEzV10UfyY1NRVubm4llpubm4vc3Fzl+6ysrBqOvGz5hfn4498/APBwur4oKABCQhTF5u3bimne3oqLgnx8pI2NiIioJmlNN1lQUBBkMlm5j1OnTlV6eaUdEhdCqEx/tk3xBUNlHU5fsmQJbGxslA8PD49Kx/O8Im9E4t7je7A1t0UP1x4aWy/VPCGAXbsU45tPnqwoNps2BbZuVdxfk8UmERHpG63p4QwICMDo0aPLbfNsj2RZHBwccPz4cZVp9+/fR35+vrIX08HBQdnbWSwtLQ0ASvSOFpszZw4CAwOV72/evKmxonNbnOJw+ogWI2BkoDV/NqqikyeBDz4AIiMV7+vXV/RwTpqkuOURERGRPtKaysXW1ha2trY1sixvb28sXrwYKSkpcHR0BKC4kEgul8PT01PZZu7cucjLy4PJ///S79+/H05OTmUWtnK5XOWcz8zMzBqJtyK5BbnYcWkHAOAVDx5O10U5OYorz9esUbw3NQVmzFBcEGRjI2loREREaqc1h9SrIjExEbGxsUhMTERhYSFiY2MRGxuLhw8fAgD69+8PDw8PjB07FjExMTh48CBmzZqFiRMnwtraGgAwZswYyOVy+Pv74/z589ixYwc+++wzrbxC/YujX+B29m04WDqgt1tvqcOhKrpxA+jRQ1FsymTAuHHA5cvAkiUsNomIqHbQmh7Oqpg/fz7WrVunfN+xY0cAQHh4OHr27AlDQ0P89ddfmDJlCrp16wYzMzOMGTMGX375pfIzNjY2CAsLw9SpU+Hl5YW6desiMDBQ5ZC5Nrh+/zoWH14MAFjWfxlMDHncVZfs3w+MGQPcvQvUqwds2AAMGCB1VERERJolE9o+tI4WS05OhouLC5KSkuDs7FzjyxdCYPCGwdhzdQ/6uPVB2Ngwret9pdIVFSl6MD/5RHGRkKen4qIgDkdJRKSb1P2br+90soeztth+cTv2XN0DE0MTfDvoWxabOuLBA8Vh8127FO8nTABWrlSct0lERFQbseDUUgVFBZi+dzoA4KNuH6GFbQuJI6LKuH8feOEF4MoVxUhB334LjB8vdVRERETSYsGppXILcpGVp7ix/Pm08ygoKuDtkHTAhx8qik1nZ+D33xWH0omIiGo7nbxKvTawMLHAjlE7IDeUY8elHRi/czyKRJHUYVE5Dh1SDE0JABs3stgkIiIqxoJTi/V2643Nr26GocwQP5/5GdP3TAev8dJOubnAO+8oXr/zDtC9u7TxEBERaRMWnFpueMvhWDdiHWSQ4ZuT32B++HypQ6JSLFkC/Psv0KABsHSp1NEQERFpFxacOuCNdm/gm0HfAAAWHV6EdbHrKvgEaUp8PPDxx8Bnnyner1gB1K0rbUxERETahgWnjpjQaQJcrF0AAJfSL0kcTe2Wl6e4p2b//kCTJsDixUB+PvDyy8Brr0kdHRERkfbhZc864vN/PkdSZhLszO0wy2eW1OHUSpcvKy4KWrsWuHPnyfR+/YCJE4ERIxRDVxIREZEqFpw64PLdy/j00KcAgK8GfoX65vUljqh2OXEC+OgjICLiyTRHR+CttxT32HR3lyw0IiIincCCUwesPrkaeYV5GNBkAF5v87rU4dQqDx8CQ4cCaWmAgQHw0kuK3szBgwEj/ushIiKqFP5k6oCTt04CAMa2G8vhLTVs+XJFsdm0KfD334CLi9QRERER6R5eNKTlCosKEZsaCwDo5NhJ2mBqmTt3gC++ULxevJjFJhERUXWx4NRyV+5dQXZ+NsyNzdG8fnOpw6lVFi1SHFL39ARefVXqaIiIiHQXC04tdzrlNACgfYP2MDQwlDia2iM+Hli9WvF66VLF+ZtERERUPfwZ1XJnb58FAHRw6CBtILXMggWKe2v27at4EBERUfWx4NRy1+9fBwA0q9dM4khqj3PngF9/VbxeskTaWIiIiPQBC04tl/AgAQDgVtdN2kBqkY8/BoRQnLfp5SV1NERERLqPBaeWKy44G9dpLGkctcXRo8DOnYChoeKiISIiInp+LDi12MO8h7jzSDGGIgtO9RMCmDNH8fqtt4AWLaSNh4iISF+w4NRi9x/fBwDIIENBUYHE0ei/4GDg0CFALldcNEREREQ1gwWnFnO2dkYnx04QEPj62NdSh6PXvv8eCApSvP7qK8DZWcpoiIiI9AsLTi0mk8nwcY+PAQArTqzAg5wH0gakp/74A3j3XcXrTz4BJk+WNh4iIiJ9w4JTyw1vORyt7VojMzcT35z4Rupw9M4//wCjRwNFRcD48cDChVJHREREpH9YcGo5A5kB5vWYBwD437H/4WHeQ4kj0h+XLgFDhwI5OcCQIcCaNYBMJnVURERE+ocFpw7o7dYbhjJD3Ht8D5EJkVKHozcWLADu3we6dgU2bwaMjKSOiIiISD+x4NRyRaII/n/4o1AUonn95vBt7Ct1SHojKkrxvHQpYG4ubSxERET6jAWnllt6ZCn2Xt0LUyNTbH1tKyxNLKUOSS/cvg0kJSkOoXfqJHU0RERE+o0FpxZLzEjEJ+GfAABWDVqFtg3aShyRfhAC+Pr/7zLVqhVgZSVtPERERPqOZ61psdSHqSgSRXC0dMRbHd+SOhy98PgxMGECsGGD4v3EidLGQ0REVBuw4NRiDSwaAADuPr4LIQRkvIT6uaSmAiNGAMePKy4Q+uYbYNIkqaMiIiLSfzp5SH3x4sXw8fGBubk56tSpU2L+mTNn8Prrr8PFxQVmZmZo1aoVvv5adaSehIQEyGSyEo+9e/dq6FtUrIGlouDMK8zjTd+fU0wM0LmzotisWxfYv5/FJhERkaboZA9nXl4eXnvtNXh7eyMkJKTE/OjoaNjZ2eHXX3+Fi4sLjh49infeeQeGhoYICAhQaXvgwAG0bt1a+b5evXpqj7+yTI1MYSO3QUZuBm5n30Zds7pSh6STtm8Hxo4FHj0CWrQAdu0CmjWTOioiIqLaQycLzoX/PxzM2rVrS53/9ttvq7x3d3dHVFQUtm/fXqLgrF+/PhwcHNQSZ02wNbdVFJwPb6OlbUupw9E5P/8M+PkpXvfvr7jfZimd4kRERKRGOnlIvToyMjJK7b0cNmwY7O3t0a1bN2zdulWCyMp2K+sW4h/EAwAa2TSSOBrd89dfQPH/PSZPVrxnsUlERKR5OtnDWVVRUVH47bff8NdffymnWVpaYvny5ejWrRsMDAywc+dOjBo1CuvWrcObb75Z6nJyc3ORm5urfJ+VlaXWuDec24AiUQQfFx+41XVT67r0TVQU8NprQGEhMG4c8O23gEGt+e8VERGRdtGan+CgoKBSL+J5+nHq1KkqL/fChQsYPnw45s+fj379+imn29ra4v3330eXLl3g5eWF4OBgTJkyBZ9//nmZy1qyZAlsbGyUDw8Pj2p918r65ewvAICx7caqdT36Ji4OGDxYcQukl14CfvyRxSYREZGUtKaHMyAgAKNHjy63TePGjau0zLi4OPTu3RsTJ07Exx9/XGH7rl274scffyxz/pw5cxAYGKh8f/PmTbUVnWdvn8XZ22dhYmiCka1HqmUd+igpCRgwQDFG+gsvAFu2AMbGUkdFRERUu2lNwWlrawtbW9saW96FCxfQu3dv+Pn5YfHixZX6TExMDBwdHcucL5fLIZfLle8zMzOfO86ybD6/GQDQ170v6plpz5Xz2qyoSHGfzeRkoGVLxTmbFhZSR0VERERaU3BWRWJiIu7du4fExEQUFhYiNjYWANC0aVNYWlriwoUL6NWrF/r374/AwECkpqYCAAwNDWFnZwcAWLduHYyNjdGxY0cYGBhg165dWLFiBf773/9K9bVUNLRuCAA4fOMwEjMSedFQJWzaBJw+DdjYAPv2AfXrSx0RERERATpacM6fPx/r1q1Tvu/YsSMAIDw8HD179sSWLVtw584drF+/HuvXr1e2c3V1RUJCgvL9okWLcOPGDRgaGqJ58+b46aefyrxgSNMmeU7CL2d/wbHkY3hn1zvY88YejjRUjvx8YP58xesPPwQasT4nIiLSGjIhhJA6CF2VnJwMFxcXJCUlwdnZucaXfyn9Ejqs6YDcwlz8OPRHjO80vsbXoS++/14xcpC9PXDtGmBpKXVERESkT9T9m6/veO2uFmtp2xKLei8CAATuD0RSRpLEEWmnx4+B4GDF63nzWGwSERFpGxacWu79ru+jq3NXZOZm4qMDH0kdjtYpKgJmzQJu3gRcXDg+OhERkTbSyXM4axNDA0PYmiuu3jc1MpU4Gu2Sn68YSejXXxXvv/gCeOomAkRERKQlWHBquRM3T+DPy3/CQGaA2d1nSx2O1nj0SDGS0O7dgKEhEBoKjBoldVRERERUGhacWm5+uOLS63Htx6F5/eYSR6Md7t0Dhg4Fjh4FzMwUN3cfPFjqqIiIiKgsLDi12D+J/2DftX0wMjDCJy9+InU4WuHmTcVIQhcuAHXqAH/+CXTrJnVUREREVB4WnFpsyZElAAC/9n5wr+sucTTSy8wEfH0Vtz1ydFTc3L1tW6mjIiIiooqw4NRiliaK+/tcvnsZRaIIBrLafVOB6dMVxWajRkBkJNC4sdQRERERUWXU7gpGy/23739hbmyOw4mHsTZ2rdThSGrHDmDtWkAmU1yVzmKTiIhId7Dg1GKudVyxsOdCAMAHYR/gTvYdiSOSRmoq8M47itcffgj06CFtPERERFQ1LDi13PQXpqNdg3a49/gePgj7QOpwNE4IYOJEID0daNcOWLhQ6oiIiIioqlhwajljQ2N8N+Q7yCDDujPrsCB8AXILcqUOS2N+/FFxJbqJieJQOm/sTkREpHtYcOqArs5dMdN7JgAg+FAwOn3fCVFJURJHpX7XrwPvv694vXgxr0gnIiLSVSw4dcTn/T7H5lc3w97CHnF34tDtp26YtmcaHuY9lDo0tSgsBPz8gOxs4MUXnxSeREREpHtYcOoImUyGka1HIm5KHPw7+ENAYOWJlWi9qjX2Xt0rdXg1btky4MgRwNJScXW6oaHUEREREVF1seDUMfXN6yN0eCj2v7kfjes0RmJGIl5a/xLe3P4m0h+lSx1ejTh7Fvjk/wdW+vprwM1N2niIiIjo+bDg1FH9mvTDgbEH0NK2JQBg/bn18PzeE9l52RJH9nxycoCxY4G8PMV46W+9JXVERERE9Lw40pAOySnIwZHEI9h/bT/2X9uPM7fPqMw3MjCCoYFuH3ueM0fRw2lnB/zwg+JG70RERKTbWHBqMSEELqZfxP5r+7Hv2j5EJkTiccFjlTadHDthQJMB6N+kP3xcfGBiaCJRtM9v717gq68Ur0NDgQYNJA2HiIiIaggLTi0VFBGEkJgQJGcmq0x3tHRE/yb9MaDJAPR17ws7CzuJIqxZN24A/v6K1wEBwODBkoZDRERENYgFpxbKK8zD0iNLkVuYCyMDI/Rq3EtZZLaxbwOZnh1nPnwYeOUV4M4doHVr4PPPpY6IiIiIahIvGtJCJoYmWNJnCQCgSBThA58PMMtnFto2aKt3xeZ33wG9eyuKzY4dgT17ADMzqaMiIiKimsSCU0vN6DoD/h38USSKMGrrKFy5e0XqkGpUfj4wZQoweTJQUACMGqW476aLi9SRERERUU1jwamlZDIZ1gxeA29nb9zPuY/hm4YjIydD6rBqRHo60L8/sHq14ir0zz4DNm4EzM2ljoyIiIjUgQWnFpMbybF91HY4WzvjYvpFjN0xVuqQntuNG0DnzkBEBGBlBfzxh+JWSHp2pgARERE9hQWnlnOwdMDnfRVX0ey6vEvnx05fsQJISACaNAGOHVPc3J2IiIj0GwtOLSeEwA+nfwAAvNH2DViaWEoc0fOJilI8BwUBHh6ShkJEREQawoJTy+25ugfhCeEwMTTB4t6LpQ7nueTlAadPK1537SptLERERKQ5LDi1WGFRIT4M+xAAMK3LNLjWcZU4oudz5gyQmwvUr684pE5ERES1AwtOLbbuzDpcuHMBdU3rYm6PuVKH89yOHVM8d+nCi4SIiIhqExacWuz3S78DAN7v+j7qmtWVNpgacPiw4pmH04mIiGoXnSw4Fy9eDB8fH5ibm6NOnTqltpHJZCUea9asUWlz7tw5+Pr6wszMDA0bNkRwcDCEEBr4BpUjN5IDgF4Um4WFwIEDitd9+0obCxEREWmWTo6lnpeXh9deew3e3t4ICQkps11oaCgGDhyofG9jY6N8nZmZiX79+qFXr144efIkLl++DH9/f1hYWGDmzJlqjb+yrE2sAQBZuVkSR/L8Tp0C7t8HbGwUh9SJiIio9tDJgnPhwoUAgLVr15bbrk6dOnBwcCh13vr165GTk4O1a9dCLpejTZs2uHz5MpYvX47AwECtGLPcWq4oODNzMyWO5Pnt26d47tsXMNLJrY6IiIiqSycPqVdWQEAAbG1t0blzZ6xZswZFRUXKeVFRUfD19YVcLldOGzBgAG7duoWEhIRSl5ebm4vMzEzlIytLvT2P+lRw7t+veB4wQNo4iIiISPP0tuD89NNPsWXLFhw4cACjR4/GzJkz8dlnnynnp6amokGDBiqfKX6fmppa6jKXLFkCGxsb5cNDzXcuNzQwBADkFuaqdT3qdvo0cPSo4nX//tLGQkRERJqnNQVnUFBQqRf6PP04depUpZf38ccfw9vbGx06dMDMmTMRHByML774QqXNs4fNiy8YKutw+pw5c5CRkaF8xMXFVfFbVs2NBzcAAI1sGql1PeokBDBzpuJ5zBjAVbdvJUpERETVoDVn0wUEBGD06NHltmncuHG1l9+1a1dkZmbi9u3baNCgARwcHEr0ZKalpQFAiZ7PYnK5XOUQfGameg91X7t/DQDQpK7u3iV91y4gIgKQy4GnOpiJiIioFtGagtPW1ha2trZqW35MTAxMTU2Vt1Hy9vbG3LlzkZeXBxMTEwDA/v374eTk9FyFbU1SFpz1dLPgzM8HPvhA8TowkL2bREREtZXWFJxVkZiYiHv37iExMRGFhYWIjY0FADRt2hSWlpbYtWsXUlNT4e3tDTMzM4SHh2PevHl45513lD2UY8aMwcKFC+Hv74+5c+fiypUr+OyzzzB//nytuEI9pyAHNzNvAtDdHs41a4DLlwF7e2D2bKmjISIiIqnoZME5f/58rFu3Tvm+Y8eOAIDw8HD07NkTxsbGWLVqFQIDA1FUVAR3d3cEBwdj6tSpys/Y2NggLCwMU6dOhZeXF+rWrYvAwEAEBgZq/PuUJjM3EwKKc0oLRaHE0VTPqlWK54ULAWtraWMhIiIi6ciENg2to2OSk5Ph4uKCpKQkODs71/jyfUJ8EJUcheCewfjE95MaX7463b4NODgoxky/exeoq/uDJRERUS2m7t98fac1V6lTSQFdAgAAa6LXIL8wX+JoqqZ43PS2bVlsEhER1XYsOLXYqx6vooFFA9zKuoU//v1D6nCqpLjgfPFFaeMgIiIi6bHg1GImhiZ4x/MdAMDKEysljqZqDh1SPLPgJCIiIhacWm6S5yQYygxx6MYh/Hn5T6nDqZQTJ4D/v3EAevSQNBQiIiLSAiw4tVxD64YI9FZcOT/5z8laP656UREwbZritZ+f4sIhIiIiqt1YcOqAoJ5BaFqvKW5m3cRHYR9JHU651q8Hjh8HLC2BJUukjoaIiIi0AQtOHWBubI4fhv4AQHHFemRCpMQRle7hQ+Cj/6+HP/4YcHSUNh4iIiLSDiw4dUTPxj3xTifFBUQTdk3A4/zHEkdU0mefASkpQJMmwIwZUkdDRERE2oIFpw4Z3nI4AODqvauITY2VNphnPH4MrPz/C+m//BL4/xFEiYiIiFhw6oqYlBi8vu11AMCgZoPQuWFniSNStXu34pC6qyswfLjU0RAREZE2YcGpAy7fvYwBvw5AZm4mXnR9EVte2wIjAyOpw1Lx22+K55EjFcNZEhERERVjwakD/H/3x51Hd9DJsRN2vb4L5sbmUoek4vZt4M//v0XoyJHSxkJERETahwWnDrCSWwEAXm31Kqzl1hJHU9LcucCjR4Cnp+JBRERE9DQWnDrgPy3/AwBQgblEAAEAAElEQVTYfmm7xJGUdPIkEBqqeL1iBQ+nExERUUksOHXAiJYjIIMMp26dwo0HN6QOR6l4VCEhgLFjAR8fqSMiIiIibcSCUwc0sGyAHq6KQcm3X9SeXs7164FjxwALC2DpUqmjISIiIm3FglNHDG0+FACw99peiSNREEIxmhAAfPIJ4OQkbTxERESkvVhw6ojwhHAAgFsdN4kjUbhzB0hMVJyz+d57UkdDRERE2owFpw6ISYnB7iu7YSAzwCyfWVKHAwD491/Fs6srYK5dd2kiIiIiLcOCUwcsObIEADCq9Sg0rddU4mgUigvOFi2kjYOIiIi0HwtOLXcp/RK2xm0FAMzpPkfiaJ4oLjibN5c2DiIiItJ+LDi13PfR30NAYFiLYWjboK3U4ShduaJ4ZsFJREREFWHBqeWKx0y3NbOVOBJV+fmKZwsLaeMgIiIi7ceCU8v1dusNAPg74W+JI1FlZqZ4fvRI2jiIiIhI+7Hg1HLdG3WHkYEREh4kIP5+vNThKBUXnI8fSxsHERERaT8WnFrO0sQSXZ27AgAOxh+UOJonim+FxIKTiIiIKsKCUwf0atwLAHA48bDEkTxRVKR4ZsFJREREFWHBqQPuP74PALAysZI4EoXbt4FNmxSvO3eWNhYiIiLSfiw4dUDxBUN93PpIHInCp58CDx8qis0RI6SOhoiIiLQdC04tl5KVgrg7cZBBBt/GvlKHgytXgO++U7z+/HPFWOpERERE5WHBqeXCE8IBAB0dO6KeWT2JowHmzQMKCoBBg4CePaWOhoiIiHSBThacixcvho+PD8zNzVGnTp0S89euXQuZTFbqIy0tDQCQkJBQ6vy9e/dq+NuU7/ANxYVCtua2KCwqlDSWuDhgyxZFr+bSpZKGQkRERDpEJwvOvLw8vPbaa3j33XdLnT9q1CikpKSoPAYMGABfX1/Y29urtD1w4IBKu969e2viK1Ra54aKq3L2X9uPwRsGKy8gksKpU4pnX1+grfaMsklERERazkjqAKpj4cKFABQ9maUxMzODWfGdyQHcuXMHf//9N0JCQkq0rV+/PhwcHNQSZ014u+PbsDKxgv8f/th3bR+6/NgFv4/6Ha3tW2s8luLx01u00PiqiYiISIfpZA9nVf38888wNzfHq6++WmLesGHDYG9vj27dumHr1q3lLic3NxeZmZnKR1ZWlrpCVvFa69dw9O2jaFynMa7eu4quIV3xx6U/NLLup129qnhu2lTjqyYiIiIdVisKzp9++gljxoxR6fW0tLTE8uXLsXXrVuzevRt9+vTBqFGj8Ouvv5a5nCVLlsDGxkb58PDw0ET4AID2Du1xcuJJ9GrcCw/zHmLE5hFYGLEQRaJIYzGw4CQiIqLq0JqCMygoqMwLfYofp4pPIqyCqKgoxMXFYfz48SrTbW1t8f7776NLly7w8vJCcHAwpkyZgs8//7zMZc2ZMwcZGRnKR1xcXJXjeR625rbY9+Y+TPGaAgAIigzCmlNrNLJuIZ4cUm/WTCOrJCIiIj2hNedwBgQEYPTo0eW2ady4cZWX++OPP6JDhw7w9PSssG3Xrl3x448/ljlfLpdDLpcr32dmZlY5nueVlp2GmNQY5Xtna2eNrPf8eSAjQzGGOns4iYiIqCq0puC0tbWFra1tjS7z4cOH+O2337BkyZJKtY+JiYGjo2ONxlCTDt04hNe2vIa07DTUMa2DX1/+FYObD9bIug8cUDy/+CLwVM1NREREVCGtKTirIjExEffu3UNiYiIKCwsRGxsLAGjatCksLS2V7TZv3oyCggK88cYbJZaxbt06GBsbo2PHjjAwMMCuXbuwYsUK/Pe//9XU16g0IQS+Pv41Zu2fhUJRiLb2bbFj1A40qddEYzEcPKh47qMdo2sSERGRDtHJgnP+/PlYt26d8n3Hjh0BAOHh4ej51PA3ISEh+M9//oO6deuWupxFixbhxo0bMDQ0RPPmzfHTTz/hzTffVGvsVZWdl40JuyZg0/lNAIAxbcfg+yHfw8LEQmMx5OcDERGK1337amy1REREpCdkQgghdRC6Kjk5GS4uLkhKSoKzc82eS1lYVIhfz/6KBRELcCPjBowMjLCs/zK81+U9yDQ8gHl4ONC7N2BrC9y+DRhozaVmREREmqHO3/zaQCd7OPWZEALbL27HJ+Gf4GL6RQBAQ6uG2PTqJnRv1F2SmJYvVzyPGMFik4iIiKqOBaeWEEIg7HoY5h6ci+iUaABAPbN6mN1tNqZ2mQpzY3NJ4jpzBvjzT0Wh+eGHkoRAREREOo4FpxY4mnQUcw/OReSNSACApYklArsGItA7EDamNpLG9tlniufXXuP9N4mIiKh6WHBK6EzqGcz7ex7+uvIXAEBuKMeUzlMwp/sc2FnYSRwdcPkysGWL4vXcudLGQkRERLqLBadETt48ia4hXVEkimAoM8TbHd/GJy9+AhcbF6lDU/rf/xQjDA0dCrRrJ3U0REREpKtYcErE1MhU+Xp8x/H4buh3EkZTuiNHFM8TJkgbBxEREek2XnMskbYN2uK7IYoi8/vT32P1ydUSR6QqLw+4dEnxukMHSUMhIiIiHceCU0ITOk1AkG8QACBgTwB+v/S7pPE87fJloKAAsLYGXLTnKD8RERHpIBacEpvvOx8TO01EkSjC69texz+J/0gdEgDg/HnFc5s2gIbvM09ERER6hgWnxGQyGVYNXoVhLYYhpyAHQzcORdydOKnDwoULiufWraWNg4iIiHQfC04tYGRghI2vbERX5664n3MfA38diJuZNyWNqU4dxXN8vKRhEBERkR5gwaklzI3Nsev1XWhevzmSMpMwaMMgZORkSBbPiBGK5/BwID1dsjCIiIhID7Dg1CK25rbY9+Y+OFg64OztsxixeQRyC3IliaVJE6BjR6CwEPjjD0lCICIiIj3BglPLNK7TGHve2AMrEytEJETA73c/FIkiSWJ59VXF89atkqyeiIiI9AQLTi3UwaEDdozaAWMDY2y+sBmLDy2WJI7igvPAAeD+fUlCICIiIj3AglNL9XHvg++Hfg8AWHJkCW5l3dJ4DM2bAy1bKu7HGRGh8dUTERGRnmDBqcX82vvBx8UHjwseIygiSJIY+vRRPB88KMnqiYiISA+w4NRiMpkMn/f9HAAQEhOCi3cuajwGFpxERET0vFhwarlujbphRMsRKBJFmH1wtsbX7+urGGno0iXgprS3BiUiIiIdxYJTByzpswSGMkPs/HcnYlNjNbruevWATp0Ur3keJxEREVUHC04d0NK2JZrVbwYASMlK0fj6GzVSPGdIdx96IiIi0mEsOHVAXmEert67CgBoY99G4+u/c0fxbGen8VUTERGRHmDBqQMu372MgqICWMut4WztrPH1s+AkIiKi58GCUwecTzsPQNG7KZPJNL5+FpxERET0PFhw6oDigrOtfVuNrzs//8koQ7a2Gl89ERER6QEWnDpACCHZug8eBIRQFJvs4SQiIqLqYMGpA1rbtwYAXLhzQePrXr9e8TxqFGDArYWIiIiqgSWEDii+Mv182nmN9nY+egTs2KF4/cYbGlstERER6RkWnDqgef3mAIAHOQ9wM0t9w/0I8eRRVAT88QeQnQ24uQFdu6pttURERKTnWHBquYt3LsJssZny/a9nf1XbugoKFIfNDQwAQ0NgzBjF9DFjFMNbEhEREVUHC04t97jgscr7uqZ1Nbp+a2vg7bc1ukoiIiLSMzpXcCYkJGD8+PFwc3ODmZkZmjRpggULFiAvL0+lXWJiIoYOHQoLCwvY2tpi2rRpJdqcO3cOvr6+MDMzQ8OGDREcHCzpFeGl6eTYCbcCb+GXl3/BjRk3MMlrktrWZWSkuOfmnTvAhQuK57Q0wN1dbaskIiKiWsBI6gCq6tKlSygqKsJ3332Hpk2b4vz585g4cSKys7Px5ZdfAgAKCwsxePBg2NnZ4ciRI7h79y78/PwghMDKlSsBAJmZmejXrx969eqFkydP4vLly/D394eFhQVmzpwp5VcswdHKEW+2e1Pt65HJntxrk/fcJCIiopoiE9rWpVcNX3zxBVavXo3r168DAPbs2YMhQ4YgKSkJTk5OAIBNmzbB398faWlpsLa2xurVqzFnzhzcvn0bcrkcALB06VKsXLkSycnJlRrRJzk5GS4uLkhKSoKzs+aHnCQiIiLN4G/+89G5Hs7SZGRkoF69esr3UVFRaNOmjbLYBIABAwYgNzcX0dHR6NWrF6KiouDr66ssNovbzJkzBwkJCXBzcyuxntzcXOTm5qqsFwBSUlLU8bWIiIhISxT/1hcVFUkciW7S+YLz2rVrWLlyJZYtW6aclpqaigYNGqi0q1u3LkxMTJCamqps07hxY5U2xZ9JTU0tteBcsmQJFi5cWGJ6ly5dnvdrEBERkQ5ISkpCo0aNpA5D52hNwRkUFFRqMfe0kydPwsvLS/n+1q1bGDhwIF577TVMmDBBpW1ph8SFECrTn21TfHZBWYfT58yZg8DAQOX7e/fuwc3NDefPn4eNjU25sddWWVlZ8PDwQFxcHKysrKQOR+swPxVjjirGHJWP+akYc1SxjIwMtGnTBq1atZI6FJ2kNQVnQEAARo8eXW6bp3skb926hV69esHb2xvff/+9SjsHBwccP35cZdr9+/eRn5+v7MV0cHBQ9nYWS0tLA4ASvaPF5HK5yiH4Yi4uLrC2ti439toqMzMTANCwYUPmqBTMT8WYo4oxR+VjfirGHFWsOC9GRlpTOukUrcmara0tbCt5afTNmzfRq1cveHp6IjQ0FAbPDPLt7e2NxYsXIyUlBY6OjgCA/fv3Qy6Xw9PTU9lm7ty5yMvLg4mJibKNk5NTiUPtRERERFR9Oncfzlu3bqFnz55wcXHBl19+iTt37iA1NVWlt7J///7w8PDA2LFjERMTg4MHD2LWrFmYOHGi8n8oY8aMgVwuh7+/P86fP48dO3bgs88+Q2BgYKWuUCciIiKiytGaHs7K2r9/P65evYqrV6+WuC1B8TmYhoaG+OuvvzBlyhR069YNZmZmGDNmjPI+nQBgY2ODsLAwTJ06FV5eXqhbty4CAwNVztGsiFwux4IFC0o9zE4KzFH5mJ+KMUcVY47Kx/xUjDmqGHP0fPTiPpxEREREpL107pA6EREREekWFpxEREREpFYsOImIiIhIrVhwEhEREZFaseCsQFBQEGQymcrDwcFBOV8IgaCgIDg5OcHMzAw9e/bEhQsXJIxY/Q4dOoShQ4fCyckJMpkMv//+u8r8yuQkNzcX7733HmxtbWFhYYFhw4YhOTlZg99CvSrKkb+/f4ntqmvXript9DlHS5YsQefOnWFlZQV7e3uMGDEC//77r0qb2rwdVSY/tX0bWr16Ndq1awdra2tYW1vD29sbe/bsUc6vzdtPsYpyVNu3oWctWbIEMpkMM2bMUE7jdlRzWHBWQuvWrZGSkqJ8nDt3Tjnv888/x/Lly/HNN9/g5MmTcHBwQL9+/ZCVlSVhxOqVnZ2N9u3b45tvvil1fmVyMmPGDOzYsQObNm3CkSNH8PDhQwwZMgSFhYWa+hpqVVGOAGDgwIEq29Xu3btV5utzjiIjIzF16lQcO3YMYWFhKCgoQP/+/ZGdna1sU5u3o8rkB6jd25CzszOWLl2KU6dO4dSpU+jduzeGDx+uLAZq8/ZTrKIcAbV7G3rayZMn8f3336Ndu3Yq07kd1SBB5VqwYIFo3759qfOKioqEg4ODWLp0qXJaTk6OsLGxEWvWrNFQhNICIHbs2KF8X5mcPHjwQBgbG4tNmzYp29y8eVMYGBiIvXv3aix2TXk2R0II4efnJ4YPH17mZ2pbjtLS0gQAERkZKYTgdvSsZ/MjBLeh0tStW1f8+OOP3H7KUZwjIbgNFcvKyhLNmjUTYWFhwtfXV0yfPl0Iwf1QTWMPZyVcuXIFTk5OcHNzw+jRo3H9+nUAQHx8PFJTU9G/f39lW7lcDl9fXxw9elSqcCVVmZxER0cjPz9fpY2TkxPatGlTq/IWEREBe3t7NG/eHBMnTkRaWppyXm3LUUZGBgCgXr16ALgdPevZ/BTjNqRQWFiITZs2ITs7G97e3tx+SvFsjopxGwKmTp2KwYMHo2/fvirTuR3VLJ0baUjTXnjhBfz8889o3rw5bt++jUWLFsHHxwcXLlxQDqfZoEEDlc80aNAAN27ckCJcyVUmJ6mpqTAxMUHdunVLtHl6iFJ99tJLL+G1116Dq6sr4uPj8cknn6B3796Ijo6GXC6vVTkSQiAwMBDdu3dHmzZtAHA7elpp+QG4DQHAuXPn4O3tjZycHFhaWmLHjh3w8PBQ/tBz+yk7RwC3IQDYtGkTTp8+jZMnT5aYx/1QzWLBWYGXXnpJ+bpt27bw9vZGkyZNsG7dOuXJ1c+OvS6EqPXjsVcnJ7Upb6NGjVK+btOmDby8vODq6oq//voL//nPf8r8nD7mKCAgAGfPnsWRI0dKzON2VHZ+uA0BLVq0QGxsLB48eIBt27bBz88PkZGRyvncfsrOkYeHR63fhpKSkjB9+nTs378fpqamZbbjdlQzeEi9iiwsLNC2bVtcuXJFebX6s/+LSUtLK/E/otqiMjlxcHBAXl4e7t+/X2ab2sbR0RGurq64cuUKgNqTo/feew87d+5EeHg4nJ2dldO5HSmUlZ/S1MZtyMTEBE2bNoWXlxeWLFmC9u3b4+uvv+b285SyclSa2rYNRUdHIy0tDZ6enjAyMoKRkREiIyOxYsUKGBkZKb8jt6OawYKzinJzc3Hx4kU4OjrCzc0NDg4OCAsLU87Py8tDZGQkfHx8JIxSOpXJiaenJ4yNjVXapKSk4Pz587U2b3fv3kVSUhIcHR0B6H+OhBAICAjA9u3b8ffff8PNzU1lfm3fjirKT2lq2zZUGiEEcnNza/32U57iHJWmtm1Dffr0wblz5xAbG6t8eHl54Y033kBsbCzc3d25HdUkTV+lpGtmzpwpIiIixPXr18WxY8fEkCFDhJWVlUhISBBCCLF06VJhY2Mjtm/fLs6dOydef/114ejoKDIzMyWOXH2ysrJETEyMiImJEQDE8uXLRUxMjLhx44YQonI5mTx5snB2dhYHDhwQp0+fFr179xbt27cXBQUFUn2tGlVejrKyssTMmTPF0aNHRXx8vAgPDxfe3t6iYcOGtSZH7777rrCxsREREREiJSVF+Xj06JGyTW3ejirKD7chIebMmSMOHTok4uPjxdmzZ8XcuXOFgYGB2L9/vxCidm8/xcrLEbeh0j19lboQ3I5qEgvOCowaNUo4OjoKY2Nj4eTkJP7zn/+ICxcuKOcXFRWJBQsWCAcHByGXy8WLL74ozp07J2HE6hceHi4AlHj4+fkJISqXk8ePH4uAgABRr149YWZmJoYMGSISExMl+DbqUV6OHj16JPr37y/s7OyEsbGxaNSokfDz8yvx/fU5R6XlBoAIDQ1VtqnN21FF+eE2JMTbb78tXF1dhYmJibCzsxN9+vRRFptC1O7tp1h5OeI2VLpnC05uRzVHJoQQmutPJSIiIqLahudwEhEREZFaseAkIiIiIrViwUlEREREasWCk4iIiIjUigUnEREREakVC04iIiIiUisWnERERESkViw4iYiIiEitWHASERERkVqx4CQiIiIitWLBSURERERqxYKTiIiIiNSKBScRERERqRULTiIiIiJSKxacRERERKRWLDiJiIiISK1YcBIRERGRWrHgJCIiIiK1YsFZgVWrVsHNzQ2mpqbw9PTE4cOHy20fGRkJT09PmJqawt3dHWvWrNFQpJpRlXxs374d/fr1g52dHaytreHt7Y19+/ZpMFr1quq2Ueyff/6BkZEROnTooN4ANayq+cjNzcW8efPg6uoKuVyOJk2a4KefftJQtOpX1XysX78e7du3h7m5ORwdHfHWW2/h7t27GopWvQ4dOoShQ4fCyckJMpkMv//+e4Wf0dd9aVVzoe/70epsG8X0dV+qr1hwlmPz5s2YMWMG5s2bh5iYGPTo0QMvvfQSEhMTS20fHx+PQYMGoUePHoiJicHcuXMxbdo0bNu2TcORq0dV83Ho0CH069cPu3fvRnR0NHr16oWhQ4ciJiZGw5HXvKrmolhGRgbGjRuHPn36aChSzahOPkaOHImDBw8iJCQE//77LzZu3IiWLVtqMGr1qWo+jhw5gnHjxmH8+PG4cOECtmzZgpMnT2LChAkajlw9srOz0b59e3zzzTeVaq/P+9Kq5kKf96NA1fNRTF/3pXpNUJm6dOkiJk+erDKtZcuWYvbs2aW2//DDD0XLli1Vpk2aNEl07dpVbTFqUlXzURoPDw+xcOHCmg5N46qbi1GjRomPP/5YLFiwQLRv316NEWpWVfOxZ88eYWNjI+7evauJ8DSuqvn44osvhLu7u8q0FStWCGdnZ7XFKBUAYseOHeW20fd9abHK5KI0+rIffVZV8qGv+1J9xh7OMuTl5SE6Ohr9+/dXmd6/f38cPXq01M9ERUWVaD9gwACcOnUK+fn5aotVE6qTj2cVFRUhKysL9erVU0eIGlPdXISGhuLatWtYsGCBukPUqOrkY+fOnfDy8sLnn3+Ohg0bonnz5pg1axYeP36siZDVqjr58PHxQXJyMnbv3g0hBG7fvo2tW7di8ODBmghZ6+jzvvR56ct+9Hno675U3xlJHYC2Sk9PR2FhIRo0aKAyvUGDBkhNTS31M6mpqaW2LygoQHp6OhwdHdUWr7pVJx/PWrZsGbKzszFy5Eh1hKgx1cnFlStXMHv2bBw+fBhGRvr1z646+bh+/TqOHDkCU1NT7NixA+np6ZgyZQru3bun8+dxVicfPj4+WL9+PUaNGoWcnBwUFBRg2LBhWLlypSZC1jr6vC99XvqyH60ufd6X6jv2cFZAJpOpvBdClJhWUfvSpuuqquaj2MaNGxEUFITNmzfD3t5eXeFpVGVzUVhYiDFjxmDhwoVo3ry5psLTuKpsG0VFRZDJZFi/fj26dOmCQYMGYfny5Vi7dq1e9HICVctHXFwcpk2bhvnz5yM6Ohp79+5FfHw8Jk+erIlQtZK+70urQx/3o1VRW/al+or/PSiDra0tDA0NS/RIpKWllfifdzEHB4dS2xsZGaF+/fpqi1UTqpOPYps3b8b48eOxZcsW9O3bV51hakRVc5GVlYVTp04hJiYGAQEBABQFlxACRkZG2L9/P3r37q2R2NWhOtuGo6MjGjZsCBsbG+W0Vq1aQQiB5ORkNGvWTK0xq1N18rFkyRJ069YNH3zwAQCgXbt2sLCwQI8ePbBo0aJa16Onz/vS6tK3/Wh16Pu+VN+xh7MMJiYm8PT0RFhYmMr0sLAw+Pj4lPoZb2/vEu33798PLy8vGBsbqy1WTahOPgDF/8j9/f2xYcMGvTkfraq5sLa2xrlz5xAbG6t8TJ48GS1atEBsbCxeeOEFTYWuFtXZNrp164Zbt27h4cOHymmXL1+GgYEBnJ2d1RqvulUnH48ePYKBgeru2NDQEMCTnr3aRJ/3pdWhj/vR6tD3fanek+ZaJd2wadMmYWxsLEJCQkRcXJyYMWOGsLCwEAkJCUIIIWbPni3Gjh2rbH/9+nVhbm4u3n//fREXFydCQkKEsbGx2Lp1q1RfoUZVNR8bNmwQRkZG4ttvvxUpKSnKx4MHD6T6CjWmqrl4lr5dWVnVfGRlZQlnZ2fx6quvigsXLojIyEjRrFkzMWHCBKm+Qo2qaj5CQ0OFkZGRWLVqlbh27Zo4cuSI8PLyEl26dJHqK9SorKwsERMTI2JiYgQAsXz5chETEyNu3LghhKhd+9Kq5kKf96NCVD0fz9K3fak+Y8FZgW+//Va4uroKExMT0alTJxEZGamc5+fnJ3x9fVXaR0REiI4dOwoTExPRuHFjsXr1ag1HrF5VyYevr68AUOLh5+en+cDVoKrbxtP0cSdZ1XxcvHhR9O3bV5iZmQlnZ2cRGBgoHj16pOGo1aeq+VixYoXw8PAQZmZmwtHRUbzxxhsiOTlZw1GrR3h4eLn7gtq0L61qLvR9P1qdbeNp+rgv1VcyIWrh8RoiIiIi0hiew0lEREREasWCk4iIiIjUigUnEREREakVC04iIiIiUisWnERERESkViw4iYiIiEitWHASERERkVrV+oJz1apVcHNzg6mpKTw9PXH48OFKfzY3NxdBQUHIzc1VY4S6g/lQxXyoYj6eYC5UMR+qmA9VzId+qNU3ft+8eTPGjh2LVatWoVu3bvjuu+/w448/Ii4uDo0aNarw85mZmbCxsUFGRgasra01ELF2Yz5UMR+qmI8nmAtVzIcq5kMV86EfanUP5/LlyzF+/HhMmDABrVq1wldffQUXFxesXr1a6tCIiIiI9EatLTjz8vIQHR2N/v37q0zv378/jh49KlFURERERPrHSOoApJKeno7CwkI0aNBAZXqDBg2Qmppa6mdyc3NVziG5d+8eACApKQk2NjbqC1ZHZGVlAQBu3ryJzMxMiaORHvOhivl4grlQxXyoYj5UaUs+ioqKcPv2bXTs2BFGRrW2fKq2Wp8xmUym8l4IUWJasSVLlmDhwoUlprdp00YtsekqDw8PqUPQKsyHKubjCeZCFfOhivlQpS35OHHiBDp37ix1GDqn1hactra2MDQ0LNGbmZaWVqLXs9icOXMQGBiofJ+UlIQ2bdrgxIkTcHR0VGu8REREJJ2UlBR06dKlzBqByldrC04TExN4enoiLCwML7/8snJ6WFgYhg8fXupn5HI55HK58n3xYXRHR0c4OzurN2AiIiKSnIFBrb385bnU2oITAAIDAzF27Fh4eXnB29sb33//PRITEzF58mSpQyMiIiLSG7W64Bw1ahTu3r2L4OBgpKSkoE2bNti9ezdcXV2lDo2IiIhIb9T6fuEpU6YgISEBubm5iI6Oxosvvih1SEREpCX8/f0xYsQIja5TJpPh999/1+g6idSt1hecpL/S0tIwadIkNGrUCHK5HA4ODhgwYACioqKUbWpyx56QkACZTIbY2Nhy20VEREAmk+HBgwcl5nXo0AFBQUHKNuU91q5dCwDYtm0bevbsCRsbG1haWqJdu3YIDg5W3rarMrZv345+/frBzs4O1tbW8Pb2xr59+0q027ZtGzw8PCCXy+Hh4YEdO3aozF+yZAk6d+4MKysr2NvbY8SIEfj333+V8/Pz8/HRRx+hbdu2sLCwgJOTE8aNG4dbt25VGOP9+/cxduxY2NjYwMbGBmPHji2Rw+nTp8PT0xNyuRwdOnSo9PePjIyEp6cnTE1N4e7ujjVr1qjMv3DhAl555RU0btwYMpkMX331VYXLjIiIwPDhw+Ho6AgLCwt06NAB69evr/K6SzNp0iQ0adIEZmZmsLOzw/Dhw3Hp0iWVdZe13Zw8ebLcZVf0NwaqPiTw2rVrIZPJMHDgQJXpDx48gEwmQ0REhMr0P//8Ez179oSVlRXMzc3RuXNn5fb+rHXr1qFLly6wsLCAlZUVXnzxRfz5558qbYrz0aZNGxQWFqrMq1OnTpnLJqKaw4KT9NYrr7yCM2fOYN26dbh8+TJ27tyJnj17VqkQq6y8vLwaXZ6Pjw9SUlKUj5EjR2LgwIEq00aNGoV58+Zh1KhR6Ny5M/bs2YPz589j2bJlOHPmDH755ZdKr+/QoUPo168fdu/ejejoaPTq1QtDhw5FTEyMsk1UVBRGjRqFsWPH4syZMxg7dixGjhyJ48ePK9tERkZi6tSpOHbsGMLCwlBQUID+/fsjOzsbAPDo0SOcPn0an3zyCU6fPo3t27fj8uXLGDZsWIUxjhkzBrGxsdi7dy/27t2L2NhYjB07VqWNEAJvv/02Ro0aVenvHh8fj0GDBqFHjx6IiYnB3LlzMW3aNGzbtk3Z5tGjR3B3d8fSpUvh4OBQqeUePXoU7dq1w7Zt23D27Fm8/fbbGDduHHbt2lWldZfG09MToaGhuHjxIvbt2wchBPr3768spp7dflJSUjBhwgQ0btwYXl5eZS63Mn/jzZs3Y8aMGZg3bx5iYmLQo0cPvPTSS0hMTCw3ZiMjIxw8eBDh4eHltlu5ciWGDx8OHx8fHD9+HGfPnsXo0aMxefJkzJo1S6XtrFmzMGnSJIwcORJnzpzBiRMn0KNHDwwfPhzffPNNiWVfu3YNP//8c7nrJyI1EVRtSUlJAoBISkqSOhR6xv379wUAERERUWYbV1dXAUD5cHV1FUIIcfXqVTFs2DBhb28vLCwshJeXlwgLCyvx2U8//VT4+fkJa2trMW7cOJVlARC+vr6lrjc8PFwAEPfv3y8xr3379mLBggUlpvv5+Ynhw4erTDt+/LgAIL766qsyc/A8PDw8xMKFC5XvR44cKQYOHKjSZsCAAWL06NFlLiMtLU0AEJGRkWW2OXHihAAgbty4UWabuLg4AUAcO3ZMOS0qKkoAEJcuXSrRfsGCBaJ9+/ZlLu9pH374oWjZsqXKtEmTJomuXbuW2t7V1VX873//q9SynzVo0CDx1ltvVXvdZTlz5owAIK5evVrq/Ly8PGFvby+Cg4PLXU5l/sZdunQRkydPVmnTsmVLMXv27DKXGxoaKmxsbMTEiRNFly5dlNOL/52Gh4cLIYRITEwUxsbGIjAwsMQyVqxYobINFP/9V6xYUaJtYGCgMDY2FomJiUKIJ//mPvjgA+Hi4iIeP36sbGtjYyNCQ0PLjP3Zf3s5OTnivffeE3Z2dkIul4tu3bqJEydOqHzm/PnzYtCgQcLKykpYWlqK7t27K/82J06cEH379hX169cX1tbW4sUXXxTR0dEqnwcgduzYUWZMJA3+5j8f9nCSXrK0tISlpSV+//13ldGhnlZ8aDE0NBQpKSnK9w8fPsSgQYNw4MABxMTEYMCAARg6dGiJHpwvvvgCbdq0QXR0ND755BOcOHECAHDgwAGkpKRg+/btavyGwPr162FpaYkpU6aUOr9OnToAnhzqf/awZXmKioqQlZWFevXqKadFRUWVGAp2wIAB5Q4Fm5GRAQAqyymtjUwmU8ZbmqioKNjY2OCFF15QTuvatStsbGyeeyjasr7XqVOnkJ+f/1zLflZGRkalcvr0uosPByckJJS6zOzsbISGhsLNzQ0uLi6lttm5cyfS09Ph7++vMr1x48YICgqqMJ7iHD/vkMBBQUE4d+4ctm7dWur8rVu3Ij8/v0RPJqA4jcDS0hIbN24EAGzcuBGWlpaYNGlSibYzZ85Efn5+iZ7iGTNmoKCgoNTez8r68MMPsW3bNqxbtw6nT59G06ZNMWDAAOWRk5s3b+LFF1+Eqakp/v77b0RHR+Ptt99GQUEBAMWoOX5+fjh8+DCOHTuGZs2aYdCgQcrRdIj0FQtO0ktGRkZYu3Yt1q1bhzp16qBbt26YO3cuzp49q2xjZ2cHQFGYOTg4KN+3b98ekyZNQtu2bdGsWTMsWrQI7u7u2Llzp8o6evfujVmzZqFp06Zo2rSp8vP169eHg4NDuUVWTbhy5Qrc3d1hbGxcbjtjY2O0aNEC5ubmlV72smXLkJ2djZEjRyqnpaamVmkoWCEEAgMD0b179zJH48rJycHs2bMxZswYWFtblxlPamoq7O3tS0y3t7cvc/2VVdb3KigoQHp6+nMt+2lbt27FyZMn8dZbb1Vp3ebm5mjRokWJv/OqVauU/7Hau3cvwsLCYGJiUuq6Q0JCMGDAgBIFaZMmTWBra1thPMU5rs6QwE9zcnLC9OnTMW/ePGUB9rTLly/Dxsam1IE0TExM4O7ujsuXLyvbNmnSpNTv7OTkBBsbG2XbYubm5liwYAGWLFmi/M9QVWRnZ2P16tX44osv8NJLL8HDwwM//PADzMzMEBISAgD49ttvYWNjg02bNsHLywvNmzfHW2+9hRYtWgBQ7DfefPNNtGrVCq1atcJ3332HR48eITIyssrxEOkSFpykt1555RXcunULO3fuxIABAxAREYFOnTpVeIFAdnY2PvzwQ3h4eKBOnTqwtLTEpUuXSvRwlncunCaIcoZhfVrDhg1x6dIldOnSpVLL3bhxI4KCgrB58+YSRV5VhoINCAjA2bNnlT1Sz8rPz8fo0aNRVFSEVatWKadPnjxZWUhZWlqWue6K1l+ap5f79P12S/teZa2zOiIiIuDv748ffvgBrVu3VplX0bq7dOmCS5cuoWHDhirt3njjDcTExCAyMhLNmjXDyJEjkZOTU2LdycnJ2LdvH8aPH19i3sGDBxEQEFBhPM9Oq8p28KyPPvoId+7cwU8//VSp9tVdT1ltx48fD1tbW/z3v/+t8vqvXbuG/Px8dOvWTTnN2NgYXbp0wcWLFwEAsbGx6NGjR5n/EUxLS8PkyZPRvHlz5QVwDx8+rPAcWCJdx4KT9JqpqSn69euH+fPn4+jRo/D398eCBQvK/cwHH3yAbdu2YfHixTh8+DBiY2PRtm3bEhcGWVhYVCum4p680npYHjx4oBzBqiLNmzdX/gDWlM2bN2P8+PH47bff0LdvX5V5Dg4OlR4K9r333sPOnTsRHh5e6ihc+fn5GDlyJOLj4xEWFqbSuxkcHIzY2Fjlo3jdt2/fLrGcO3fuVGmYuaeXGxwcXO73MjIyQv369Su97LJERkZi6NChWL58OcaNG6cy73nWbWNjg2bNmuHFF1/E1q1bcenSpVKvKA8NDUX9+vUrdWFWRX/j6gwJ/Kw6depgzpw5WLhwIR49eqQyr3nz5sjIyCj1rgV5eXm4fv06mjVrpmx77dq1Ui/Yu3XrFjIzM5Vtn2ZkZIRFixbh66+/rtTdEZ5W1n9Eni5uzczMyl2Gv78/oqOj8dVXX+Ho0aOIjY1F/fr1a/zCQyJtw4KTahUPDw/lFdOAonfi2dukHD58GP7+/nj55ZfRtm1bODg4lHn+3NOKD+09u7xnNWvWDAYGBiVuT5OSkoKbN28qD71VZMyYMXj48KFK7+DTSrvtUnk2btwIf39/bNiwAYMHDy4x39vbG2FhYSrT9u/fDx8fH+V7IQQCAgKwfft2/P3333BzcyuxnOJi88qVKzhw4ECJwsre3l55mkLTpk2V687IyFCeJwsAx48fR0ZGhsr6K/L0cot7b8v6Xl5eXhWerlCRiIgIDB48GEuXLsU777xTYn5NrlsIUeJ8ZSEEQkNDMW7cuEotr6K/8dNDAj8tLCysSn+H9957DwYGBvj6669Vpr/yyiswMjLCsmXLSnxmzZo1yM7Oxuuvvw4AGD16NB4+fIjvvvuuRNsvv/wSxsbGeOWVV0pd/2uvvYbWrVtj4cKFlY4ZUGw/JiYmOHLkiHJafn4+Tp06hVatWgEA2rVrh8OHD5f5H8HDhw9j2rRpGDRoEFq3bg25XF6jp24QaS0JLlTSG7xiTXulp6eLXr16iV9++UWcOXNGXL9+Xfz222+iQYMG4u2331a2a9asmXj33XdFSkqKuHfvnhBCiBEjRogOHTqImJgYERsbK4YOHSqsrKzE9OnTlZ8r7Url/Px8YWZmJhYtWiRSU1PFgwcPyozv3XffFY0aNRI7duwQ169fF0eOHBG+vr6ibdu2Ij8/v0T70q5SF0JxlbOhoaH44IMPxNGjR0VCQoI4cOCAePXVV5VXrycnJ4sWLVqI48ePlxnPhg0bhJGRkfj2229FSkqK8vH0d/jnn3+EoaGhWLp0qbh48aJYunSpMDIyUrly/N133xU2NjYiIiJCZTmPHj1S5mjYsGHC2dlZxMbGqrTJzc0tMz4hhBg4cKBo166diIqKElFRUaJt27ZiyJAhKm2uXLkiYmJixKRJk0Tz5s1FTEyMiImJKXfZ169fF+bm5uL9998XcXFxIiQkRBgbG4utW7cq2+Tm5iqX5ejoKGbNmiViYmLElStXylxueHi4MDc3F3PmzFH5nnfv3q3Suo8fPy5atGghkpOThRBCXLt2TXz22Wfi1KlT4saNG+Lo0aNi+PDhol69euL27dsqMRw4cEAAEHFxcaXG2Lt3b7Fy5Url+8r8jTdt2iSMjY1FSEiIiIuLEzNmzBAWFhYiISGhzFwUX6X+tJCQEGFqaqpylboQQixfvlwYGBiIuXPniosXL4qrV6+KZcuWCblcLmbOnKmyjOnTpwu5XC6+/PJLcfXqVXHx4kUxb948YWBgoHL1eml3hjh48KAwMjISRkZGVbpKffr06cLJyUns2bNHXLhwQfj5+Ym6desq9x/p6emifv364j//+Y84efKkuHz5svj555+Vd1Po0KGD6Nevn4iLixPHjh0TPXr0EGZmZir7E/Aqda3E3/znw4LzOXDj0145OTli9uzZolOnTsLGxkaYm5uLFi1aiI8//lhZ/AghxM6dO0XTpk2FkZGR8rZI8fHxolevXsLMzEy4uLiIb775Rvj6+lZYcAohxA8//CBcXFyEgYFBmbdFKo4vODhYtGrVSpiZmQlXV1fh7+8vUlJSSm1fVsEphBCbN28WL774orCyshIWFhaiXbt2Ijg4WPnjGh8fX+JH/Vm+vr4lbusEQPj5+am027Jli2jRooUwNjYWLVu2FNu2bVOZX9oyACh/0ItjKe1RXnxCCHH37l3xxhtvCCsrK2FlZSXeeOONErd+Kut7xMfHl7vsiIgI0bFjR2FiYiIaN24sVq9erTK/rLjL+xv7+flV6jMVrbu4WCr+Djdv3hQvvfSSsLe3F8bGxsLZ2VmMGTOm1NtDvf7668LHx6fMGF1dXUvchquiv7EQQnz77bfC1dVVmJiYiE6dOpV72yshSi84CwoKhIeHR6l/+z/++EP06NFDWFhYCFNTU+Hp6Sl++umnUpcdEhIivLy8hJmZmTA3Nxfdu3cXO3fuVGlT1q3I+vfvr7J9lubZf3uPHz8W7733nrC1tS3ztkhnzpwR/fv3F+bm5sLKykr06NFDXLt2TQghxOnTp4WXl5eQy+WiWbNmYsuWLSX2Jyw4tRN/85+PTIj/PymFqiw5ORkuLi5ISkoq9Tw1IiIi0g/8zX8+PIeTiIiIiNSKBScRkYRuZd1C4L5A7Pp3FzJyqn5vSKnl5QFLlwL//S9Qw/fJJyI9YiR1AEREtdnf8X/jf8f+h/8d+x8MZAbwdPREr8a90MutF7o36g5LE8uKFyKh3FxgzhzF6/feA57zwn4i0lMsOImIJNSsXjO80+kd/J3wN67eu4qTt07i5K2T+Pzo5zAyMEKXhl0UBWjjXvBx8YGZcfn3eZRSDd0nn4j0EC8aeg48gZiIalJyZjLC48MRnhCOv+P/xo2MGyrzTQxN0NW5K3o37o1ebr3g7ewNY0NpuxQzM4HisQoePwZMTSUNh0ht+Jv/fFhwPgdufESkTvH34xGeoChAw+PDcTPrpsr8Ic2HYNfruySKTuHpgjMnB5DLJQ2HSG34m/98eEidiEhLudV1g1tdN7zd8W0IIXDl3hXsu7oPM/bNQJEogpmR9IfXnz6Mzu4LIioLr1InItIBMpkMzes3x62sWygSRahvVh9fD/y64g+qmcFTvyIVjOpKRLUYC04iIh1x+MZh/Pef/wIAfhj6AxytHCWOCDA0fPK6qEi6OIhIu7HgJCLSAZm5mRi7YywEBN7q8BZebvWy1CEBUC042cNJRGVhwUlEpAOm7ZmG/2PvvuObKP84gH/Sle5BWzooHWwqm4IUhFIUKCCg/mSIIlWGCBWloIKgDEUcgAMFVLCgsgQBUYasshSZLatsWkoXo0AX3Xl+f5wJhG5ockn6eb9eeV1y9+TumzOmH567e+5KxhUEOAcYxKF0NR5SJ6LKYOAkIjJwa+PWYtnxZTBTmOHnZ3+Gg9JB7pI08vPvPecV6kRUFgZOIiIDlpKVgtf+fA0AMKnTJHTy7SRzRdqysqSpQgHY2clbCxEZLgZOIiIDpRIqvPL7K7iVewttvNpgWtdpcpdUQmamNHVw4J2GiKhsDJxERAbq20PfYtulbbC2sMYvz/4CK3MruUsqQR04HR3lrYOIDBsDJxGRAUrNSsU7O94BAHze/XM0dW8qc0Wlu7+Hk4ioLAycREQGaO+VvcgrykMLjxYY226s3OWUSX1luqW8t3QnIgPHwElEZICOpR4DAHT06QiFAZ8cqQ6ahYXy1kFEho2Bk4jIAMWkxQAAWnq2lLmS8llYSFMGTiIqDwMnEZEByiqQxhuavX82YlJjZK6mbOo7DXHQdyIqj8kFzoSEBAwfPhwBAQGwsbFB/fr1MW3aNBQUFGi1UygUJR6LFi2SqWoiIm1R/aPQsFZDJGYkotOPnbD61Gq5SypVUZE05TmcRFQeC7kLqG5nz56FSqXCd999hwYNGuDUqVMYOXIkcnJyMGfOHK22UVFRCAsL07x2cnLSd7lERKVq4tYEB0ccxAu/vYC/Lv2Fwb8NxvFrxzGr2yyDOqdTfSjdwuT+mhBRdTK5n4iwsDCtEFmvXj2cO3cOCxcuLBE4nZ2d4enpqe8SiYgqxcXGBZuGbMLknZPx+T+fY/b+2Wjh0QKDmw2WuzQNdQ8nAycRlcfkDqmXJiMjA7Vq1SoxPyIiAm5ubmjXrh0WLVoElUpV7nry8/ORmZmpeWSp7+lGRKQj5mbm+Kz7Z5jUaRIAYNERwzr1R322kpXhjUlPRAbE5APnpUuXMH/+fIwePVpr/ocffog1a9Zgx44dGDx4MCZMmICPP/643HXNnj0bTk5OmkdgYKAuSyci0hjbfizMFGbYc2UPzt08J3c5GgycRFQZRhM4p0+fXuqFPvc/jhw5ovWelJQUhIWFYcCAARgxYoTWsqlTpyI4OBitWrXChAkTMHPmTHz++efl1jB58mRkZGRoHnFxcdX+OYmISuPj6IPeDXsDABYfWyxzNfcwcBJRZRjNWTcREREYPLj885b8/f01z1NSUhAaGorg4GB8//33Fa6/Q4cOyMzMxLVr1+Dh4VFqG6VSCaVSqXmdqb6nGxGRHoxqMwp/nv8TS48vxUfdPoLSQlnxm3SMgZOIKsNoAqebmxvc3Nwq1TY5ORmhoaFo27YtoqKiYGZWcUduTEwMrK2t4ezs/IiVEhFVPyEEUrJSAAA3797EgaQD6OrfVd6icC9wclgkIiqP0QTOykpJSUHXrl3h6+uLOXPm4MaNG5pl6ivS//jjD6SlpSE4OBg2NjaIjo7GlClTMGrUKK0eTCIiQ3A14ypG/jESf136CwDQsW5HtPVqK3NVEiGkqXoAeCKi0phc4Ny2bRsuXryIixcvwsfHR2uZ+O+X0dLSEgsWLEBkZCRUKhXq1auHmTNnYuzYsXKUTERUKiEEomKjMP6v8cjMz4TSXImPun2E8R3Gw9yMCY+IjIfJBc7w8HCEh4eX2+bBsTqJiAzRB9Ef4KN9HwEAHq/zOJY+sxRN3JrIXBURUdWZXOAkIjIVqdmpAIBgn2Dse2WfQfZqqk+R573Uiag8RjMsEhFRTTOijTSc29HUo0jPTZe5mtKpr05X3+KSiKg0DJxERAbq8TqPI8g7CAXFBfjh6A9yl1MqdeBUX61ORFQaBk4iIgOlUCgwrv04AMDCIwtRWGx43Yjq4ZAYOImoPAycREQGbOBjA+Fu647krGT8ef5PucspQd3DmZ8vbx1EZNgYOImIDFhadhqyC7LlLqNM9vbSNCtL3jqIyLAxcBIRGbA3t76J3KJcdPHrgmeaPCN3OSXUri1N77vHBhFRCQycREQG6s/zf+L3c7/DwswCC3ovgEKhkLukEtzdpent27xSnYjKxsBJRGSAsguyMXazdPezyA6ReKz2YzJXVDonp3vPeVidiMrCwElEZICmRU9DYkYi/Jz88EHIB3KXU6b7Q6aDg3x1EJFhY+AkIjIwx1KP4cuDXwIAFvZZCDsrO3kLKkdGhjS1sbk3RBIR0YMYOImIDEiRqgij/hgFlVBh0GOD0KthL7lLKpc6cDo7y1oGERk4Bk4iIgORU5CDKTun4GjqUThbO+PLsC/lLqlCd+5I0/vP5SQiepCF3AUQEdV0qVmp+ObQN1h0dBFu5d4CAHz61KfwtPeUubKKZf83RCjP3ySi8jBwEhHJ5OS1k5j37zysOLkCBcXSvSHrudTDu53excg2I2WurnKKiqSpBf+aEFE5+BNBRKRn0fHRmL1/NrZf3q6Z17FuR0wInoD+jfvD3MxcxuqqprhYmpobT8lEJAMGTiIiPbqQfgFP/fwUVEIFM4UZ/tf0f4gMjkQHnw5yl/ZQ1D2cZrwigIjKwcBJRKRHrrauUJorkVuUi5+f/RlDmg+Ru6RHoj6HU31PdSKi0vDfpEREelTLphaGtRwGAFh5aqXM1Tw69bBIvEqdiMrDwElEpGfjg8dDAQX+PP8nzt48K3c5j4SBk4gqg4GTiEjPGrk2Qr/G/QAAXxz4QuZqHg0DJxFVBgMnEZEM3urwFgDg5xM/QwghbzGPIDNTmjJwElF5GDiJiGRwO/c2AMDdzl3mSh5NgTR8KKyt5a2DiAwbAycRkQx+jfsVAPB80+ehUChkrubhqYdF4jicRFQeBk4iIj07df0U/jj3BwBg4GMDZa7m0fBOQ0RUGQycRER6IoRAVEwU2v/QHjmFOWheuzna12kvd1mPpLBQmjJwElF5+BNBRKQHOQU5GLN5DH46/hMAoEf9Hvj52Z+N+nA6cO8cTqVS3jqIyLAxcBIR6dip66cwcM1AnLl5BmYKM3wY+iEmPTEJZgrjP8iUny9NGTiJqDwMnEREOhQVE4Wxm8citygX3g7eWPm/leji10XusqqNOnBaWclbBxEZNgZOIiId+XT/p5i0cxKAe4fQa9vVlrmq6sUeTiKqDOM/nkNEZKBWnV4FAJgQPAFbXtxicmETAFQqaWrGvyZEVA6T/Inw9/eHQqHQekyaNEmrTWJiIvr27Qs7Ozu4ublh3LhxKFCf/U5EVA3UdxDqWb+nSZyvWRr11enFxfLWQUSGzWQPqc+cORMjR47UvLa3t9c8Ly4uRp8+feDu7o79+/cjPT0dw4YNgxAC8+fPl6NcIjJht/Nuy12CzqgDp3o8TiKi0phs4HRwcICnp2epy7Zt24a4uDhcvXoV3t7eAIC5c+ciPDwcs2bNgqOjoz5LJSITZWtpCwAYtHYQFh1ZhFFtR+HZJs9CaWE6JzyqR3VSH1onIiqNaR7jAfDpp5/C1dUVrVq1wqxZs7QOlx84cADNmjXThE0A6NmzJ/Lz83H06NEy15mfn4/MzEzNIysrS6efgYiM2/xe89G7YW8ooEB0QjRe+O0F1JlXB5F/ReLMjTNyl1ctcnKkqZ2dvHUQkWEzycD55ptvYtWqVYiOjkZERAS+/PJLjBkzRrM8LS0NHh4eWu9xcXGBlZUV0tLSylzv7Nmz4eTkpHkEBgbq7DMQkfFr690Wm4ZsQsJbCZgWMg0+jj5Iz03HF/9+gcAFgegc1Rk/Hf8JuYW5cpf60NT/7nZwkLcOIjJsRhM4p0+fXuJCoAcfR44cAQCMHz8eISEhaNGiBUaMGIFFixZhyZIlSE9P16yvtLt7CCHKvevH5MmTkZGRoXnExcVV/wclIpPj6+SL6V2nI+HNBPz5wp/o37g/zBXm2J+4H8M2DIP3PG+8sfkNnLh2Qu5Sq4yBk4gqw2jO4YyIiMDgwYPLbePv71/q/A4dOgAALl68CFdXV3h6euLgwYNabW7fvo3CwsISPZ/3UyqVUN432FxmZmYlqyciAszNzNGnUR/0adQHKVkpiIqJwuKYxUi4k4BvDn+Dbw5/g8frPI5Z3WbhyXpPyl1upTBwElFlGE3gdHNzg5ub20O9NyYmBgDg5eUFAAgODsasWbOQmpqqmbdt2zYolUq0bdu2egomIiqHl70XBjUbBBcbF8zePxtJmUkAgIPJBzFm8xicizgnc4UVy8uTHgDg5CRvLURk2IwmcFbWgQMH8O+//yI0NBROTk44fPgwxo8fj379+sHX1xcA0KNHDwQGBmLo0KH4/PPPcevWLUycOBEjR47kFepEpDM3cm5gV/wu7Li8A9svb8eVjCtay52UTggNCMWbj78pU4VVc/myNHV0BJydZS2FiAycyQVOpVKJ1atXY8aMGcjPz4efnx9GjhyJd955R9PG3NwcmzZtwpgxY9CpUyfY2NhgyJAhmDNnjoyVE5GpyS3Mxb7EfdhxeQd2XN6BmLQYreWWZpboWLcjnqr3FLrX64623m1hYWY8P8sXL0rThg3vDY9ERFQa4/llq6Q2bdrg33//rbCdr68v/vzzTz1UREQ1RbGqGDFpMdh+aTt2xO/A34l/I784X6tNC48WeCrgKTxV7yl08esCOyvjHU/owgVp2qCBvHUQkeEzucBJRKRvu+J3YeGRhdgVvwu3cm9pLfNx9EH3et3xVL2n8GTAk/CwL/vCRGOj7uFk4CSiijBwEhE9ohfXvYi0bGkMX0elI0L9QzUhs5Fro3KHWzNWZ84Aa9ZIz5s0kbcWIjJ8DJxERI8oK18aG2jDoA3o06iPUZ2H+TASE4EePYD0dKBdO+C55+SuiIgMnWn/KhIR6UCRqgi5hbm4W3gXuUW5KFIVAQBaebYy+bB586YUNpOSpJ7NzZsBW1u5qyIiQ2fav4xEVCMIIZBXlIfcolytIFje89yi/17f/7yS7dQB80HmZuZ6/uT6k5gILFgALF4s9Wz6+AB//QU85PDIRFTDMHASkU4UqYpKBrr/nlc5FFainVysLaxha2mLTnU7oY5DHdnq0AUhgD17gPnzgQ0bAJVKml+vHvDnn8B/QxsTEVWIgZOohlD3AlbYy1dRQKxku7J6AXXNwswCNhY2sLW0hY2lDWwsbGBj+d/rB5+Xt+yB5w+u09bSFkoLJcwUZrJ8Tl26exf45Rfgm2+AkyfvzQ8NBd54A+jbF7DgXw8iqgL+ZBDJqLC48OEO/ZbS+1dRu7yiPNk+Z2UDXKXblREkbSxsYGluKdvnNHbx8dJh8yVLgNu3pXm2tsDQoUBEBNCsmbz1EZHxYuAkKoUQApn5mUjPTUdWfla1nQ/44Hvk6gW0NLOsVICztahc0CsvIFpbWJvksECmQKUCbt0Cjh0Dvv0W+OMP6TA6IB02HzsWeOUVwMVF3jqJyPgxcJLJyyvKQ/rddNzKvYX03HSk303XmpY2/1buLRSLYr3WWaUevkfsCTT1K6lrMiGAzEwgLQ24dk2aqh/3v752TXoUPfBvnu7dpcPmvXsD5qZ7DRQR6Rn/6pDRKFYV407enZJhsYIAebfw7kNv09bSFo5Kx/IDXBWCXlkBUWmuZC8glSsnp2RgLOt5XhXPnnB3BwYOlA6bcxB3ItIFBk7SOyEEcgpzyg6L6nkPzL+dexsC4qG2aa4wRy2bWnC1dYWrjatmWsumltZrrfm2rrC2sK7mT090T37+vZ7GioJkdnbV1u3gAHh6Sg8Pj7Kf164NKJW6+XxERGoMnPRICosLtXoUSz08nVcyWBYUFzz0Nh2Vjlqh0NWm9LB4/zxHpSN7EEkvioqAGzcq7oVMS7t3YU5lWVsDXl7lB0j1lIOxE5EhYeAkDSEEkjKTkJadVnaAfGB+Zn7mQ2/PytyqRO9iLesyeiHve86rkEkOubnApUvlB8m0NOlOPKIKHfGWlhUHSPVzBweA/24iImPEwFmDFauKceLaCexP3I/9V/dj35V9SM1OrfJ6FFDA2dq5RFAsq7fR1Vaab2dpx15HMkhFRcDp08Dhw8ChQ9L05EmguJLXkZmZSYeqKwqQnp7SFeD834CITB0DZw2SW5iLQ8mHsC9xH/Yn7sc/V/9BVkGWVhsLMwt42XtpQuGDh6u15v83z9na2aRv6UemTQjg8uV7wfLQIWmYoNxSbl7k4gJ4e1fcG+nqyiu8iYjux8BpwtLvpuPvq39jf+J+7Evch6MpR1GoKtRq42DlgI51O6Kzb2c84fsE2tdpDxtLG5kqJtK9tDTtnsvDh6WxKB/k4AC0ayc92reXpj4+7I0kInoYDJwmaNP5TXh3x7s4feN0iWVe9l7o7NcZT9R9Ap39OqN57ebsnSSTd+4c8NVX0v2/r14tudzKCmjV6l6wbN8eaNRIOjRORESPjoHTxCw+thiv/fkaVEIFAGji1kTTe/mE7xMIcA7geZNUIwgB7NwJfPEFsHnzvfkKBRAYqN1z2aKFFDqJiEg3GDhNhBACH+39CB/s/gAA8EqrV/DpU5/C3c5d5sqI9CsvD1ixAvjyS+lCH0AKmX37AmPGAB07SofLiYhIfxg4TUCxqhgRmyOw6OgiAMCUzlPwYeiH7MmkGuX6dWDhQmDBAuk5ANjZSfcCHzcOaNhQ3vqIiGoyBk4jl1eUhyG/DcH6s+uhgALze83H2PZj5S6LSG9OnpR6M5cvl+7cAwB160r3Ax8xQrqynIiI5MXAacRUQoU+K/pgV/wuWJlbYflzy/F84PNyl0Wkc/n5wIYNwA8/SOdpqj3+ODB+PPDcc9KA6kREZBgYOI1YZn4mouOjAQCfPfUZwyaZvOPHgSVLpN5M9VBGZmZSwIyMBIKD5a2PiIhKx0E/jJiztTNGB40GAHx/7HsUFhdW8A4i43PnjnRuZlCQNHTR/PlS2PTxAaZOlW43uWYNwyYRkSFj4DRys7rNgrutO+JuxOHLf7+UuxyiaiEEsH8/8NJLgJeXdHX50aPSYfLnnwe2bAESEoAPPwT8/eWuloiIKsLAaeRcbFww8LGBAIBvD38rczVEj6aoCPj1V+lczM6dpUPneXlAs2bSeJopKVJvZlgYbx1JRGRMeA6nkVsbtxYLDi8AALza+lWZqyF6OFlZ0rmZX34JXLkizVMqpR7OUaOkwdk5yhcRkfFi4DRiu+J34cV1L0JAYFSbUXi/y/tyl0RUJUlJ0jmZ330HZGRI89zcgLFjpcPotWvLWx8REVUPBk4jdTTlKPqv6o+C4gI81/Q5LOizgAO9k9GIjQXmzgVWrZIOowPSvcsnTACGDgVsbGQtj4iIqpnJncO5e/duKBSKUh+HDx/WtCtt+aJFi2SsvPLOp59Hr+W9kF2QjVD/UCx/bjnMzXhCGxm+XbuAp54CWrcGfvlFCpshIcDGjcCZM9Lhc4ZNIiLTY3I9nB07dkRqaqrWvPfffx87duxAUFCQ1vyoqCiEhYVpXjs5OemlxkdRrCrG4LWDcePuDbTxaoMNgzfA2sJa7rKIypWZKQ3I/uOP0mtzc2DAAKlH84H/LYmIyASZXOC0srKCp6en5nVhYSE2btyIiIiIEoecnZ2dtdoag0VHFiEmLQbO1s7YNGQTHJWOcpdEVK6dO4FXXwUSE6ULf0aPBt59F/Dzk7syIiLSF5M7pP6gjRs34ubNmwgPDy+xLCIiAm5ubmjXrh0WLVoElUql/wKr4EbODUyNngoA+Cj0I3jaG1dYppolJweIiJAOoScmAgEBwO7dwIIFDJtERDWNyfVwPmjJkiXo2bMn6tatqzX/ww8/xJNPPgkbGxvs3LkTEyZMwM2bNzF16tQy15Wfn4/8/HzN66ysLJ3VXZpJOybhTt4dtPJspbnDEJEh2r8fCA+X7gIEAK+/Dnz2GWBvL2tZREQkE6Pp4Zw+fXqZFwOpH0eOHNF6T1JSEv766y8MHz68xPqmTp2K4OBgtGrVChMmTMDMmTPx+eefl1vD7Nmz4eTkpHkEBgZW62csz79J/+LHWOkEuG97f8uLhMggFRYCEycCXbpIYdPHB9i2TerVZNgkIqq5jKaHMyIiAoMHDy63jf8D97iLioqCq6sr+vXrV+H6O3TogMzMTFy7dg0eHh6ltpk8eTIiIyM1r5OTk/UWOtWDu3vae8LbwVsv2ySqqo8+koY7AoBXXpHuDmQE1+IREZGOGU3gdHNzg5ubW6XbCyEQFRWFl19+GZaWlhW2j4mJgbW1NZydnctso1QqoVQqNa8zMzMrXc+jCm8Vjt/P/Y607DS0WtQK3/f9XnNLSyJDcO3avbC5eDFQyoEFIiKqoYzmkHpV7dq1C/Hx8aUeTv/jjz/www8/4NSpU7h06RIWL16MKVOmYNSoUVqB0pB0C+iG2Ndi0cGnAzLyMzBo7SAM/304sguy5S6NCADw8cfShULt2klXpRMREamZbOBcsmQJOnbsiKZNm5ZYZmlpiQULFiA4OBgtWrTAV199hZkzZ2KuunvGQAW4BGBv+F5M6TwFCijwY+yP6Ley4tMFiHRtxw5g4ULp+ezZvO85ERFpM5pD6lW1YsWKMpeFhYVpDfhuTCzNLfFyy5fx/dHvcePuDaiEYQ/lRKZv8WLpKvSiIqBfP+DJJ+WuiIiIDI3J9nCaqnM3z6Hr0q64cfcGHnN/DL8O+FXukqiGUqmAyZOBkSOlsDlkCPArv45ERFQKBk4jcvbmWXRd1hWp2aloXrs5oodFo7ZdbbnLohooNxcYPBj45BPp9bRp0r3RDfQUaCIikpnJHlI3NXE34tBtWTdcy7mGFh4tsGPoDrjbuctdFtVA169Lh84PHgQsLaVD6i+/LHdVRERkyBg4jUBsWix6/tIT13Ouo5VnK2wfuh1utpUfIoqouhQUSIO6nzsHuLgA69cDISFyV0VERIaOgdPA7U/cj6dXPI2M/Ay09myN7UO3w9XWVe6yqIbaulUKm25u0u0rGzeWuyIiIjIGPIfTgG2+sBk9fu6BjPwMdPbtjOhh0QybJKvly6Xp0KEMm0REVHkMnAZqxckV6L+qP3KLctGnYR9sfWkrnKx5j0CST1YWsHGj9PzFF+WthYiIjAsDpwH69tC3eGndSyhSFeHF5i9i/aD1sLW0lbssquE2bADy8oBGjYA2beSuhoiIjAnP4TQwq0+tRsSWCADAgMAB+OnZn2Cm4L8LSH4rV0rTF1/knYSIiKhqmGQMTKGqUPN8bdxaDF47GLFpsfIVRPSfI0ekaZ8+8tZBRETGh4HTwLzU4iUcHHEQ/Rr3g4DAmrg1aP1dazy94mkcuHpA7vKohsrKAm7ckJ43aCBvLUREZHwYOA1Q+zrt8fvg33Fi9AkMbjYYZgozbLqwCR1/7Ignf3oSqVmpcpdINUx8vDR1dQWceO0aERFVEQOnAWvu0Rwr/7cSZ8eexfDWw2FhZoFd8buw/ux6uUujGubkSWnK3k0iInoYDJxGoKFrQyzutxhe9l4AgED3QJkropomOlqaPvGEvHUQEZFxYuA0EsmZybiaeRXmCnO0824ndzlUw6gDZ2iovHUQEZFxYuA0EgeSpAuGWni0gJ2VnczVUE2SmAhcvgyYmwOdO8tdDRERGSMGTiOhvkK9g08HmSuhmmb7dmnati3g6ChvLUREZJwYOI1ESnYKAEBprpS5EqpJfvsNGDdOet6zp7y1EBGR8WLgNBJDmg0BAPxw7AfcyLkhczVk6oQAPvwQeP554O5doEcP4O235a6KiIiMFQOnkXi60dNo49UGOYU5mHtgrtzlkAnLzQWGDAE++EB6PW4csGkT4OAgb11ERGS8GDiNhEKhwLSQaQCARUcWQQghc0VkilJSgC5dgFWrAAsL4LvvgK++kp4TERE9LP4ZMSLutu4AABtLGygUCpmrIVMiBLB5MzBqlBQ6XV2l8zdDQuSujIiITAF7OI3IsdRjAIA2Xm1kroRMhRDAxo1Au3bA009LYTMwEDh0iGGTiIiqDwOnETmaehQA0NarrcyVkLFTqaQezNatgf79gaNHAVtbYMIE4MABoF49uSskIiJTwkPqRoQ9nPSoiouBtWulK9BPn5bm2dsDERFAZCTg7i5vfUREZJoYOI1EXlEeTt+QEgIDJ1VVYSGwfDkwezZw/rw0z9ERePNN4K23gFq1ZC2PiIhMHAOnkTh1/RSKVEVwtXFFXce6cpdDRiIvD/jxR+Czz4ArV6R5Li5SyBw3DnB2lrM6IiKqKRg4jcTRFOn8zTZebXiFOlUoO1sa0mjOHCAtTZrn4SGdozl6NMfUJCIi/WLgNBLq8zd5wRCV584dYP584MsvgVu3pHl16wLvvAMMHw7Y2MhZHRER1VQMnEbiWBovGKKy3bgBfPEF8M03QFaWNK9BA2DyZOCllwArK3nrIyKimo2B0wgIIXDy2kkAQHOP5jJXQ4YkKQn4/HPghx+kW1ICQLNmwHvvAQMG8A5BRERkGIxyHM5Zs2ahY8eOsLW1hXMZVz0kJiaib9++sLOzg5ubG8aNG4eCggKtNidPnkRISAhsbGxQp04dzJw50yBvGalQKFDHsQ4A4EL6BZmrIUNw8SIwcqQ0XubXX0thMygI2LABOH4ceOEFhk0iIjIcRhk4CwoKMGDAALz++uulLi8uLkafPn2Qk5OD/fv3Y9WqVfjtt98wYcIETZvMzEx0794d3t7eOHz4MObPn485c+Zg3rx5+voYVRJWPwwAsPXiVpkrITmdPAkMGQI0bgwsXiwNdxQSAmzbJt0dqH9/wMwo/68mIiJTZpR9IDNmzAAALF26tNTl27ZtQ1xcHK5evQpvb28AwNy5cxEeHo5Zs2bB0dERy5cvR15eHpYuXQqlUolmzZrh/PnzmDdvHiIjIw3uSvCwBmFYcGQBtlzcAiGEwdVHunXoEDBrlnQbSrXevaVD5506yVcXERFRZZhkX8iBAwfQrFkzTdgEgJ49eyI/Px9Hjx7VtAkJCYFSqdRqk5KSgoSEBH2XXKHQgFBYmVsh/k48Lt66KHc5pCe7dwPduwOPPy6FTYVCOjczJgbYtIlhk4iIjINJBs60tDR4eHhozXNxcYGVlRXS/huUsLQ26tfqNg/Kz89HZmam5pGlvhxYD9Ky0+CkdAIA7E7Yrbftkjzy8oDXXwdCQ4EdO6TzMcPDgbg44NdfgVat5K6QiIio8gwmcE6fPh0KhaLcx5EjRyq9vtIOOT94KPrBNuoLhso6XD179mw4OTlpHoGBgZWu52EJIfDT8Z/Q+rvWuHH3BlysXfC4z+M63y7J58IFoEMHYNEiqUdz9GjpIqGoKKBJE7mrIyIiqjqDOYczIiICgwcPLreNv79/pdbl6emJgwcPas27ffs2CgsLNb2Ynp6eJXoyr1+/DgAlej7VJk+ejMjISM3r5ORknYbOjLwMvL7pdaw8tRIA0MWvC3559hfUdeKtLU3VqlXS1efZ2YC7O/DLL0CPHnJXRURE9GgMJnC6ubnBzc2tWtYVHByMWbNmITU1FV5eXgCkC4mUSiXatm2rafPee++hoKAAVv+Nir1t2zZ4e3uXGWyVSqXWOZ+ZmZnVUm9pDlw9gCHrhiDhTgLMFeaY0XUGJj0xCeZm5jrbJsknLw8YP17q1QSALl2AlSuB+05DJiIiMloGc0i9KhITExEbG4vExEQUFxcjNjYWsbGxyM7OBgD06NEDgYGBGDp0KGJiYrBz505MnDgRI0eOhKOjIwBgyJAhUCqVCA8Px6lTp7B+/Xp8/PHHsl+hXqwqxkd7P0LnqM5IuJMAf2d/7HtlH6Z0mcKwaaLOndM+hD51KrBzJ8MmERGZDoPp4ayKDz74AMuWLdO8bt26NQAgOjoaXbt2hbm5OTZt2oQxY8agU6dOsLGxwZAhQzBnzhzNe5ycnLB9+3aMHTsWQUFBcHFxQWRkpNYhczl8d/Q7vB/9PgBgSPMhWNB7AZysnWStiapfURGwebN0h6DNmwGViofQiYjIdCmEId5ax0gkJSWhbt26uHr1Knx8fKplnVsubEHvFb0BADtf3oluAd2qZb1kGBISgCVLgB9/BFJS7s0PC5Pms1eTiMgw6eJvfk1ilIfUTVmvhr0wovUIAMBL617Czbs3Za6IHlVBAbB2LdCzp3Qryo8+ksKmmxswcSJw9iywZQvDJhERmS4GTgP0Va+v0NStKVKzUzF281i5y6FHsHw5ULeuNFj7tm2AEMBTTwGrVwNJScDnn0u3qSQiIjJlDJwGyNbSFvN7zQcA7EnYI3M19DCysoBhw4CXXgKuXwe8vKTbUF66BGzfDgwcCNw34AEREZFJM8qLhmqCYlEMAHC3c5e5EqqqI0eAF16QBms3MwOmTQMmTwYsLeWujIiISB4MnAYqNSsVAOBl7yVzJVRZKhXwxRdSuCwsBHx9pUPqTzwhd2VERETyYuA0UGnZ0l2QvBwYOI3BtWvSIfS//pJe/+9/0pBHLi7y1kVERGQIGDgNVGq21MPpYVf6bTbJcJw/L90Z6No1wMYG+OorYMQIaRB3IiIi4kVDBquWTS0AwPKTy3E957rM1VB53n9fCpuPPSadvzlyJMMmERHR/Rg4DVRkcCSaujVFSlYKBq8djCJVkdwlUSkuXJDG2ASke58HBspbDxERkSFi4DRQ9lb2+G3gb7C3skd0QjSm7poqd0lUijlzpIuF+vQBmjeXuxoiIiLDxMBpwJq6N8WP/X4EAHz696fYcHaDvAWRlpQUYOlS6fnkybKWQkREZNAYOA3cgMcG4K3H3wIADNswTDNcEslLCGDGDOm2lU88AXTqJHdFREREhouB08D9nfg3tl7aCgDIzM9EclayzBVRcTEwZgzw/ffS66k824GIiKhcHBbJQGXlZ2HyzslYcHgBBARq29XGN72+QZB3kNyl1Wh5ecCLLwLr1klXon/7LdCzp9xVERERGTYGTgO06fwmjN40GkmZSQCAV1q9gjk95miGSiJ53LkD9O8P7N0LWFlJdxF6/nm5qyIiIjJ8DJwG5EbODby59U2sPLUSABDgHIDv+36Pp+o9JXNllJIChIUBJ08Cjo7A778DXbvKXRUREZFxYOA0EMdSj6HHzz2QnpsOM4UZxncYjxldZ8DOyk7u0mq8y5eBbt2AK1cAT09g61agZUu5qyIiIjIeDJwG4nDyYaTnpgMABj42EJ91/wxmCl7TJbcrV4DQUCAxEWjYULpXekCA3FUREREZFyYaAzG8zXBEdogEAKw6tQrPrHoGmfmZMldVsyUl3QubjRoBe/YwbBIRET0MBk4DYWFmgbk95+KnZ36C0lyJP87/gccXP45Lty7JXVqNlJYmHUaPjwfq1wd27QK8vOSuioiIyDgxcBqYoS2HYv+r++Hj6IOzN89iyq4pcpdUI33yiXSfdH9/KWzWqSN3RURERMaLgdMABXkH4e2ObwMABITM1dRM//4rTT/+GPD1lbcWIiIiY8fAaaCyC7IBAA5WDjJXUvMUFQHHj0vPgzjOPhER0SNj4DRQ6sBpb2UvcyU1z9mz0h2FHByk8zeJiIjo0TBwGqis/CwA7OGUw7Fj0rR1a8CM/4cQERE9Mv45NXDbLm9DRl6G3GXUGOnpwNy50vO2beWthYiIyFQwcBqoUW1HwdnaGYeSD6H7z91xK/eW3CWZvDt3gB49gBMnpDsKvfGG3BURERGZBgZOA9Xcozl2vbwLrjauOJxyGN2WdcONnBtyl2WyMjOBnj2lw+nu7sDOnRzknYiIqLowcBqw1l6tsSd8DzzsPHD82nGELA1Balaq3GWZnOxsoHdv4NAhoFYtYMcOIDBQ7qqIiIhMBwOngXus9mPY+8pe1HGogzM3z6DL0i64mnFV7rJMxt27wNNPA3//DTg7A9u3Ay1ayF0VERGRaWHgNAKNXBth7yt74efkh4u3LuLjfR/LXZJJyM8Hnn1Wuke6gwPw119AmzZyV0VERGR6jDJwzpo1Cx07doStrS2cnZ1LLD9+/DheeOEF1K1bFzY2NmjatCm++uorrTYJCQlQKBQlHlu3btXTp6iaei710NKzJQAgwIUnFz6qoiJgyBBg2zbA1hbYsgVo317uqoiIiEyThdwFPIyCggIMGDAAwcHBWLJkSYnlR48ehbu7O3755RfUrVsX//zzD0aNGgVzc3NERERotd2xYwcee+wxzetatWrpvP6HUaQqwu6E3QCAbgHd5C3GyKlUwPDhwLp1gJUVsGED0KmT3FURERGZLqMMnDNmzAAALF26tNTlr776qtbrevXq4cCBA1i3bl2JwOnq6gpPT0+d1FmdYlJjkJmfCSelE1p7tpa7HKMlBPDmm8BPPwHm5sDq1UD37nJXRUREZNqM8pD6w8jIyCi197Jfv36oXbs2OnXqhLVr18pQWeXsjN8JAOjq3xXmZuYyV2OchACmTgW++QZQKIClS4FnnpG7KiIiItNnlD2cVXXgwAH8+uuv2LRpk2aevb095s2bh06dOsHMzAwbN27EoEGDsGzZMrz00kulric/Px/5+fma11lZWTqvHQDyivLw0/GfAPBw+sNSqYCJE4EvvpBeL1gAlPGfmYiIiKqZwfRwTp8+vdSLeO5/HDlypMrrPX36NPr3748PPvgA3e87durm5obx48ejffv2CAoKwsyZMzFmzBh89tlnZa5r9uzZcHJy0jwC9TRY4/u73seZm2fgYeeBF5u/qJdtmpLCQmDYsHth84svgNGj5a2JiIioJjGYHs6IiAgMHjy43Db+/v5VWmdcXBy6deuGkSNHYurUqRW279ChAxYvXlzm8smTJyMyMlLzOjk5Weehc9+VfZh7QLq59w99f4CrratOt2dqcnKAAQOkq9DNzYGoKGDoULmrIiIiqlkMJnC6ubnBzc2t2tZ3+vRpdOvWDcOGDcOsWbMq9Z6YmBh4eXmVuVypVEKpVGpeZ2ZmPnKd5ckpyEH47+EQEHi11avo27ivTrdnas6cAV58EYiJAWxsgLVrpTsKERERkX4ZTOCsisTERNy6dQuJiYkoLi5GbGwsAKBBgwawt7fH6dOnERoaih49eiAyMhJpaWkAAHNzc7i7uwMAli1bBktLS7Ru3RpmZmb4448/8PXXX+PTTz+V62OVMGXXFFy+fRl1Hevii7Av5C7HaKhU0oVB774L5OUBrq7AH38AwcFyV0ZERFQzGWXg/OCDD7Bs2TLN69atpWGCoqOj0bVrV6xZswY3btzA8uXLsXz5ck07Pz8/JCQkaF5/9NFHuHLlCszNzdGoUSP8+OOPZV4wpG//XP0HXx/8GoB0KN1R6ShzRcYhORl45RXpFpUAEBYG/PgjUE7HNREREemYQggh5C7CWCUlJaFu3bq4evUqfHx8qm29eUV5aLWoFc6ln0N4q3BE9Y+qtnWbsl9/lS4Gun1bOoQ+Zw7w+uvSEEhERESPQld/82sKo+zhNHUz98zEufRz8LT3xLwe8+Qux+DduQO88Qbwyy/S66Ag6XnjxrKWRURERP9h4DQwF29dxGd/S0MzLeyzEC42LjJXZNjy8oAOHYBz5wAzM2DKFOD99wFLS7krIyIiIjUGTgOjEioUi2IooECz2s3kLsfgrVghhU0PD+me6B06yF0RERERPchgBn4nSSPXRujdsDcEBOb+M1fucgyaEMCXX0rPJ05k2CQiIjJUDJwG6J2O7wAAomKjcC37mszVGK5du4CTJwE7O2DECLmrISIiorIwcBqgLn5d0L5Oe+QX52P+oflyl2Ow1L2br7wCODvLWQkRERGVh4HTACkUCrzb6V0AwLeHv0VBcYHMFRmey5eBP/+UhjwaN07uaoiIiKg8DJwG6smAJwEAd/LuIK8oT+ZqDM+pU9K0dWugYUN5ayEiIqLyMXAaqCsZVwAAtWxq8S5Dpbh9W5r+d6dSIiIiMmAMnAYq/nY8ACDAOUDmSgyTOnC6cJhSIiIig8fAaaDi7/wXOF0YOEtz54405cVCREREho+B00Al3EkAwB7OsrCHk4iIyHgwcBooBysHAPd6OknbrVvSlIGTiIjI8DFwGqhnmz4LANh0fhNyCnJkrsbwqAOnq6u8dRAREVHFGDgNVGvP1qjnUg+5RbnYdGGT3OUYnPR0acrASUREZPgYOA2UQqHAwMCBAIA1cWtkrsbwqHs4a9WStw4iIiKqGAOnARvw2AAA0mF1Dv4OqFTAP/8Ab78NXJGGKWUPJxERkRGwkLsAKpuNhQ0AoEhVBJVQyVyNPAoKgN27gfXrgd9/B1JT7y3z9gYCeBE/ERGRwWPgNGDqQ+nd63eHraWtzNXoT04O8NdfwLp10v3SMzLuLXN0BPr0AZ59FujVC7Cxka9OIiIiqhwGTgP26+lfAUBzLqcpu3UL+OMPqSfzr7+AvPvOIKhdG3jmGSlkhoYCSqVsZRIREdFDYOA0UGdunMHpG6dhaWaJ/k36y12OTiQnAxs2SCFz926guPjesoAAKWA++ywQHAyYm8tVJRERET0qBk4DtTR2KQDpcLqztbOstVQ3IYA33wTmz9ee37w58NxzUshs0QJQKOSpj4iIiKoXA6cBio6PxpwDcwAA4S3D5S1GB77++l7Y7NjxXk9m/fry1kVERES6wcBpYJIzkzH4t8FQCRVebvkyng98Xu6SqlV0NDBhgvT8iy+At96StRwiIiLSA47DaUAKigswYM0AXM+5jhYeLbCwz0IoTOi48pUrwMCB0rmaL70kHVYnIiIi08fAaUDe3vY2DiQdgJPSCesGrjOpoZDu3pUOm9+8CbRpA3z/Pc/RJCIiqikYOA3Ezss78fWhrwEAn3X/DPVrmc4JjZmZwKBBQEwM4O4uXZXO8TOJiIhqDgZOA5FdkK15/saWNxCxOQLJmckyVlQ9Tp0C2rWTBnC3tAR+/RXw9ZW7KiIiItInBk4D0b9Jf0QPi0YXvy4oKC7At4e/Rf2v62PclnFIyUqRu7yHsnw58PjjwPnzgI8PsG8f0LWr3FURERGRvjFwGpCu/l2xe9hu7Hp5Fzr7dkZ+cT7mH5qPel/Vw5SdUyCEkLvEShFCuvr8pZekcze7dweOHZPCJxEREdU8DJwGRqFQIDQgFHvC92DH0B1o49UG+cX5+Hj/x0jOMo5D7H/9BXz1lfT8/feBLVukczeJiIioZjLKwDlr1ix07NgRtra2cHZ2LrWNQqEo8Vi0aJFWm5MnTyIkJAQ2NjaoU6cOZs6caTC9iAqFAl39u8LSzBIAENYgDHUc6shcVeV8/rk0festYOZM3paSiIiopjPKgd8LCgowYMAABAcHY8mSJWW2i4qKQlhYmOa1k5OT5nlmZia6d++O0NBQHD58GOfPn0d4eDjs7OwwQT0yuczmHpiLg8kH4ah0xA99fzCKMTmPHQN27ZJC5vjxcldDREREhsAoA+eMGTMAAEuXLi23nbOzMzw9PUtdtnz5cuTl5WHp0qVQKpVo1qwZzp8/j3nz5iEyMlL2cHfmxhl8EP0BAOCLnl/Ax9FH1noqS927OXgwr0YnIiIiiVEeUq+siIgIuLm5oV27dli0aBFUKpVm2YEDBxASEgKlUqmZ17NnT6SkpCAhIaHU9eXn5yMzM1PzyMrK0kndxapihP8ejvzifPRq0AuvtHpFJ9upbgkJwJo10vOJE2UthYiIiAyIyQbODz/8EGvWrMGOHTswePBgTJgwAR9//LFmeVpaGjw8PLTeo36dlpZW6jpnz54NJycnzSMwMFAntZ+9eRaHkg9Baa40mkPpgHRxUHEx0Lkz0KqV3NUQERGRoTCYwDl9+vRSL/S5/3HkyJFKr2/q1KkIDg5Gq1atMGHCBMycOROfq4/3/ufBIKe+YKisgDd58mRkZGRoHnFxcVX8lJXjZC2da1osiuFpX/opAYasdm25KyAiIiJDYjDncEZERGDw4MHltvH393/o9Xfo0AGZmZm4du0aPDw84OnpWaIn8/r16wBQoudTTalUah2Cz8zMfOh6yuNl7wULMwsUqYqQmp1qNOdvWllJ04ICeesgIiIiw2IwgdPNzQ1ubm46W39MTAysra01wygFBwfjvffeQ0FBAaz+S0rbtm2Dt7f3IwXb6mBuZg4fRx8k3EnAlTtXGDiJiIjIqBnMIfWqSExMRGxsLBITE1FcXIzY2FjExsYiO1u6H/kff/yBH374AadOncKlS5ewePFiTJkyBaNGjdL0UA4ZMgRKpRLh4eE4deoU1q9fj48//tggrlAHAD8nPwDAlYwrMldSeerAmZ8vbx1ERERkWAymh7MqPvjgAyxbtkzzunXr1gCA6OhodO3aFZaWlliwYAEiIyOhUqlQr149zJw5E2PHjtW8x8nJCdu3b8fYsWMRFBQEFxcXREZGIjIyUu+fpzR+zn7AFeDSrUtyl1Jp//wjTdXBk4iIiAgw0sC5dOnScsfgDAsL0xrwvSzNmzfH3r17q7Gy6tOidgsAQOy1WHkLqaToaODrr6Xn48bJWwsREREZFqM8pF4TtPFqAwA4lnpM5koqlpEBDBsmPR81CujTR956iIiIyLAwcBqo1l7SaQIJdxJwK/eWzNWU7803gatXgXr1gLlz5a6GiIiIDA0Dp4FytnZGPZd6AIDYtFh5iynH+vXAsmWAmRnw00+Avb3cFREREZGhYeA0YK08WwEATlw7IW8h5Zg/X5pOmAB06iRvLURERGSYGDgNWD1nqYczMSNR5krKlpMjTTt3lrcOIiIiMlwMnAbM18kXgGEHTjUDGLqUiIiIDBQDpwEzhsD53+3niYiIiMrEwGnAjClwsoeTiIiIysLAacAy8zMBABn5GRDsSiQiIiIjxcBpoFRChXd3vAsAeKHZCwZxf/fSWFtL07w8eesgIiIiw8XAaaBWnlyJg8kHYW9lj1ndZsldTplsbaXp3bvy1kFERESGi4HTAN0tvItJOycBAN574j14OXjJXFHZbGykaW6uvHUQERGR4WLgNEBz/pmDpMwk+Dn5YXzweLnLKZc6cLKHk4iIiMrCwGmAfj7xMwDglVavwNrCWuZqysfASURERBVh4DRAQ1sMBQDMPzQf17KvyVxN+ZRKaVpYKG8dREREZLgYOA3Q5Ccmo6VHS6TnpiNiS4Tc5ZRLHTgLCuStg4iIiAwXA6cBsjS3xNJnlsLCzAJr49Zix+UdcpdUJisraZqfL28dREREZLgYOA1UK89WeKXVKwCAP879IXM1ZTP77xvEcemJiIioLAycBqx7ve4AgOiEaJkrKRuDJhEREVWEgdOAdfXvCgA4ef0kbuTckLcYIiIioofEwGnA3O3c0ax2MwDA7oTd8hZTBnUPp4HeeZOIiIgMAAOngQv1DwUA7IrfJXMlpeMhdSIiIqoIA6eBU5/HufXSVggDTHcpKdLUzU3eOoiIiMhwMXAauG4B3aA0VyLhTgLO3DwjdzklnDsnTRs3lrcOIiIiMlwMnAbOzspOc/HQ5gub5S3mAUIwcBIREVHFGDiNQO+GvQEAmy5skrkSbWlpQHa2NBZn/fpyV0NERESGioHTCPRp2AcAsD9xP7ILsmWu5p6zZ6VpQMC9W1wSERERPYiB0wjUr1UfVuZWKFIV4XbubbnL0Th4UJq2bClvHURERGTYGDiNhCFeob5/vzTt3FneOoiIiMiwMXAaCQEpcCoMZIR1lQr4+2/p+RNPyFsLERERGTYGTiOh7uFUwDAC5+nTwJ07gJ0d0KqV3NUQERGRITPKwDlr1ix07NgRtra2cHZ2LrF86dKlUCgUpT6uX78OAEhISCh1+datW/X8aSpWrCqGSqgAGE4P58qV0jQ4GLCwkLcWIiIiMmxGGRUKCgowYMAABAcHY8mSJSWWDxo0CGFhYVrzwsPDkZeXh9q1a2vN37FjBx577DHN61q1aumm6Eew6cImCAi42rjC3dZd7nKwaBEwe7b0/MUX5a2FiIiIDJ9RBs4ZM2YAkHoyS2NjYwMbGxvN6xs3bmDXrl2lhlNXV1d4enrqpM7qsuDwAgDA8NbDYWluKWstK1YAY8ZIzydPBsLDZS2HiIiIjIBRHlKvqp9++gm2trZ4/vnnSyzr168fateujU6dOmHt2rXlric/Px+ZmZmaR1ZWlq5K1rh46yL+uvQXFFDgtaDXdL698mzcCLz8snSHobFjgVmzZC2HiIiIjESNCJw//vgjhgwZotXraW9vj3nz5mHt2rXYvHkznnzySQwaNAi//PJLmeuZPXs2nJycNI/AwECd177oyCIAQK+GvVDPpZ7Ot1eWnTuBgQOB4mJg6FDg668BAzmdlIiIiAycwQTO6dOnl3mhj/px5MiRKq/3wIEDiIuLw/Dhw7Xmu7m5Yfz48Wjfvj2CgoIwc+ZMjBkzBp999lmZ65o8eTIyMjI0j7i4uCrXUxUqocKPMT8CAMYEjdHptspz4gTQvz+Qnw888wzw44/S7SyJiIiIKsNgzuGMiIjA4MGDy23j7+9f5fUuXrwYrVq1Qtu2bSts26FDByxevLjM5UqlEsr77uGYmZlZ5XqqQiVUmltZBrrrvje1NOnpUsjMyQG6dQNWreJV6URERFQ1BhMd3Nzc4ObmVq3rzM7Oxq+//orZ6kuqKxATEwMvL69qreFRWJhZoLFbY5y6fgpxN+IQ4BKg1+0XFQGDBwPx8UC9esCaNbxnOhEREVWdwQTOqkhMTMStW7eQmJiI4uJixMbGAgAaNGgAe3t7TbvVq1ejqKgIL5Yyds+yZctgaWmJ1q1bw8zMDH/88Qe+/vprfPrpp/r6GJXymPtjOHX9FE7fOI0+jfrodduTJgE7dgC2tsCGDYABjhhFRERERsAoA+cHH3yAZcuWaV63bt0aABAdHY2uXbtq5i9ZsgTPPfccXFxcSl3PRx99hCtXrsDc3ByNGjXCjz/+iJdeekmntVfVY+7SGKGnb5zW63aXLwfmzpWeL1sGNG+u180TERGRCVEI9T0TqcqSkpJQt25dXL16FT4+PjrZxroz6/C/X/+HNl5tcHTUUZ1s40HXrwN+fkBeHvDeexz+iIiISB9/800ZrzU2cM1qNwMAnLlxRnN7S127dEkKm15ewMyZetkkERERmTAGTgNX36U+lOZK5BblIv52vF62ed9wpTA318smiYiIyIQxcBo4czNzNHFrAkB/53Ha2krT3Fy9bI6IiIhMHAOnEXis9n8XDl3XT+BU93DevauXzREREZGJY+A0Ar6OvgCAuJu6vbORmjpwFhRIt7IkIiIiehQMnAYuJjUG8w/NBwA0dWuql21aWd17Xliol00SERGRCWPgNGBJmUl4euXTyCnMwVP1nsLbHd/Wy3bvv1CIPZxERET0qBg4DVRWfhaeXvE0UrJSEOgeiLUD1sLS3FIv2za771uh0s9ITERERGTCGDgNUJGqCIN/G4zj147Dw84Dm4ZsgpO1k962zx5OIiIiqk4MnAbok/2fYPOFzbCxsMHGFzbC39lfr9u/v4eTgZOIiIgeFQOnAcrIywAAdKzbEe3rtNf79s3N7/Vy5uXpffNERERkYhg4DdDooNFQQIGd8Ttx5sYZvW9foQAcHaXnmZl63zwRERGZGAZOA1S/Vn080+QZAMCX/34pSw0MnERERFRdGDgN1PgO4wEAP534CTdybuh9+wycREREVF0YOA3UE75PIMg7CHlFeZi9f7bet68OnBkZet80ERERmRgGTgOlUCgwtfNUAMAX/36BRUcW6XX7np7SNClJr5slIiIiE8TAacD6N+mPaSHTAABjN4/F+jPr9bbtJk2k6Rn9X7NEREREJoaB08BNC5mGkW1GQiVUeOG3F7A/cb9ettv0v9u2M3ASERHRo2LgNHAKhQIL+ixAv8b9kF+cj74r++L09dM63646cJ49q/NNERERkYmzkLsAKunU9VNovrB5qcvu5N3B0yufxoU3LsDCTHf/+Ro3lqY3bgAzZgDTpulsU0RERGTi2MNpgDLzyx+LSCVUKFIV6bQGOzuge3fpub29TjdFREREJo49nAaoY92OSH8nHbsTdiMzPxMBzgFoUKsBzM2k+0262rjC0txS53X89Rdw7Rrg4KDzTREREZEJY+A0ULVsauG5ps/JWoNCcW94JCIiIqKHxUPqRERERKRTDJxEREREpFMMnERERESkUwycRERERKRTDJxEREREpFMMnERERESkUwycRERERKRTDJxEREREpFNGFzgTEhIwfPhwBAQEwMbGBvXr18e0adNQUFCg1S4xMRF9+/aFnZ0d3NzcMG7cuBJtTp48iZCQENjY2KBOnTqYOXMmhBD6/DhEREREJs/o7jR09uxZqFQqfPfdd2jQoAFOnTqFkSNHIicnB3PmzAEAFBcXo0+fPnB3d8f+/fuRnp6OYcOGQQiB+fPnAwAyMzPRvXt3hIaG4vDhwzh//jzCw8NhZ2eHCRMmyPkRiYiIiEyKQphAl97nn3+OhQsX4vLlywCALVu24Omnn8bVq1fh7e0NAFi1ahXCw8Nx/fp1ODo6YuHChZg8eTKuXbsGpVIJAPjkk08wf/58JCUlQaFQVLjdpKQk1K1bF1evXoWPj4/uPiARERHJin/zH43R9XCWJiMjA7Vq1dK8PnDgAJo1a6YJmwDQs2dP5Ofn4+jRowgNDcWBAwcQEhKiCZvqNpMnT0ZCQgICAgJKbCc/Px/5+fla2wWA1NRUXXwsIiIiMhDqv/UqlUrmSoyT0QfOS5cuYf78+Zg7d65mXlpaGjw8PLTaubi4wMrKCmlpaZo2/v7+Wm3U70lLSys1cM6ePRszZswoMb99+/aP+jGIiIjICFy9ehW+vr5yl2F0DCZwTp8+vdQwd7/Dhw8jKChI8zolJQVhYWEYMGAARowYodW2tEPiQgit+Q+2UZ9dUNbh9MmTJyMyMlLz+tatWwgICMCpU6fg5ORUbu01VVZWFgIDAxEXFwcHBwe5yzE43D8V4z6qGPdR+bh/KsZ9VLGMjAw0a9YMTZs2lbsUo2QwgTMiIgKDBw8ut839PZIpKSkIDQ1FcHAwvv/+e612np6eOHjwoNa827dvo7CwUNOL6enpqentVLt+/ToAlOgdVVMqlVqH4NXq1q0LR0fHcmuvqTIzMwEAderU4T4qBfdPxbiPKsZ9VD7un4pxH1VMvV8sLAwmOhkVg9lrbm5ucHNzq1Tb5ORkhIaGom3btoiKioKZmfboTsHBwZg1axZSU1Ph5eUFANi2bRuUSiXatm2rafPee++hoKAAVlZWmjbe3t4lDrUTERER0cMzunE4U1JS0LVrV9StWxdz5szBjRs3kJaWptVb2aNHDwQGBmLo0KGIiYnBzp07MXHiRIwcOVLzL5QhQ4ZAqVQiPDwcp06dwvr16/Hxxx8jMjKyUleoExEREVHlGEwPZ2Vt27YNFy9exMWLF0sMS6A+B9Pc3BybNm3CmDFj0KlTJ9jY2GDIkCGacToBwMnJCdu3b8fYsWMRFBQEFxcXREZGap2jWRGlUolp06aVepidJNxH5eP+qRj3UcW4j8rH/VMx7qOKcR89GpMYh5OIiIiIDJfRHVInIiIiIuPCwElEREREOsXASUREREQ6xcBJRERERDrFwFmB6dOnQ6FQaD08PT01y4UQmD59Ory9vWFjY4OuXbvi9OnTMlase3v37kXfvn3h7e0NhUKBDRs2aC2vzD7Jz8/HG2+8ATc3N9jZ2aFfv35ISkrS46fQrYr2UXh4eInvVYcOHbTamPI+mj17Ntq1awcHBwfUrl0bzzzzDM6dO6fVpiZ/jyqzf2r6d2jhwoVo0aIFHB0d4ejoiODgYGzZskWzvCZ/f9Qq2kc1/Tv0oNmzZ0OhUOCtt97SzOP3qPowcFbCY489htTUVM3j5MmTmmWfffYZ5s2bh2+++QaHDx+Gp6cnunfvjqysLBkr1q2cnBy0bNkS33zzTanLK7NP3nrrLaxfvx6rVq3C/v37kZ2djaeffhrFxcX6+hg6VdE+AoCwsDCt79XmzZu1lpvyPtqzZw/Gjh2Lf//9F9u3b0dRURF69OiBnJwcTZua/D2qzP4BavZ3yMfHB5988gmOHDmCI0eOoFu3bujfv78mDNTk749aRfsIqNnfofsdPnwY33//PVq0aKE1n9+jaiSoXNOmTRMtW7YsdZlKpRKenp7ik08+0czLy8sTTk5OYtGiRXqqUF4AxPr16zWvK7NP7ty5IywtLcWqVas0bZKTk4WZmZnYunWr3mrXlwf3kRBCDBs2TPTv37/M99S0fXT9+nUBQOzZs0cIwe/Rgx7cP0LwO1QaFxcXsXjxYn5/yqHeR0LwO6SWlZUlGjZsKLZv3y5CQkLEm2++KYTg71B1Yw9nJVy4cAHe3t4ICAjA4MGDcfnyZQBAfHw80tLS0KNHD01bpVKJkJAQ/PPPP3KVK6vK7JOjR4+isLBQq423tzeaNWtWo/bb7t27Ubt2bTRq1AgjR47E9evXNctq2j7KyMgAANSqVQsAv0cPenD/qPE7JCkuLsaqVauQk5OD4OBgfn9K8eA+UuN3CBg7diz69OmDp556Sms+v0fVy+juNKRvjz/+OH766Sc0atQI165dw0cffYSOHTvi9OnTmttpenh4aL3Hw8MDV65ckaNc2VVmn6SlpcHKygouLi4l2tx/i1JT1qtXLwwYMAB+fn6Ij4/H+++/j27duuHo0aNQKpU1ah8JIRAZGYknnngCzZo1A8Dv0f1K2z8Av0MAcPLkSQQHByMvLw/29vZYv349AgMDNX/o+f0pex8B/A4BwKpVq3Ds2DEcPny4xDL+DlUvBs4K9OrVS/O8efPmCA4ORv369bFs2TLNydUP3ntdCFHj78f+MPukJu23QYMGaZ43a9YMQUFB8PPzw6ZNm/Dcc8+V+T5T3EcRERE4ceIE9u/fX2IZv0dl7x9+h4DGjRsjNjYWd+7cwW+//YZhw4Zhz549muX8/pS9jwIDA2v8d+jq1at48803sW3bNlhbW5fZjt+j6sFD6lVkZ2eH5s2b48KFC5qr1R/8V8z169dL/IuopqjMPvH09ERBQQFu375dZpuaxsvLC35+frhw4QKAmrOP3njjDWzcuBHR0dHw8fHRzOf3SFLW/ilNTfwOWVlZoUGDBggKCsLs2bPRsmVLfPXVV/z+3KesfVSamvYdOnr0KK5fv462bdvCwsICFhYW2LNnD77++mtYWFhoPiO/R9WDgbOK8vPzcebMGXh5eSEgIACenp7Yvn27ZnlBQQH27NmDjh07ylilfCqzT9q2bQtLS0utNqmpqTh16lSN3W/p6em4evUqvLy8AJj+PhJCICIiAuvWrcOuXbsQEBCgtbymf48q2j+lqWnfodIIIZCfn1/jvz/lUe+j0tS079CTTz6JkydPIjY2VvMICgrCiy++iNjYWNSrV4/fo+qk76uUjM2ECRPE7t27xeXLl8W///4rnn76aeHg4CASEhKEEEJ88sknwsnJSaxbt06cPHlSvPDCC8LLy0tkZmbKXLnuZGVliZiYGBETEyMAiHnz5omYmBhx5coVIUTl9sno0aOFj4+P2LFjhzh27Jjo1q2baNmypSgqKpLrY1Wr8vZRVlaWmDBhgvjnn39EfHy8iI6OFsHBwaJOnTo1Zh+9/vrrwsnJSezevVukpqZqHnfv3tW0qcnfo4r2D79DQkyePFns3btXxMfHixMnToj33ntPmJmZiW3btgkhavb3R628fcTvUOnuv0pdCH6PqhMDZwUGDRokvLy8hKWlpfD29hbPPfecOH36tGa5SqUS06ZNE56enkKpVIouXbqIkydPylix7kVHRwsAJR7Dhg0TQlRun+Tm5oqIiAhRq1YtYWNjI55++mmRmJgow6fRjfL20d27d0WPHj2Eu7u7sLS0FL6+vmLYsGElPr8p76PS9g0AERUVpWlTk79HFe0ffoeEePXVV4Wfn5+wsrIS7u7u4sknn9SETSFq9vdHrbx9xO9Q6R4MnPweVR+FEELorz+ViIiIiGoansNJRERERDrFwElEREREOsXASUREREQ6xcBJRERERDrFwElEREREOsXASUREREQ6xcBJRERERDrFwElEREREOsXASUREREQ6xcBJRERERDrFwElEREREOsXASUREREQ6xcBJRERERDrFwElEREREOsXASUREREQ6xcBJRERERDrFwElEREREOsXASUREREQ6xcBZgQULFiAgIADW1tZo27Yt9u3bV277PXv2oG3btrC2tka9evWwaNEiPVWqH1XZH+vWrUP37t3h7u4OR0dHBAcH46+//tJjtbpV1e+G2t9//w0LCwu0atVKtwXqWVX3R35+PqZMmQI/Pz8olUrUr18fP/74o56q1b2q7o/ly5ejZcuWsLW1hZeXF1555RWkp6frqVrd2rt3L/r27Qtvb28oFAps2LChwveY6m9pVfeFqf+OPsx3Q81Uf0tNFQNnOVavXo233noLU6ZMQUxMDDp37oxevXohMTGx1Pbx8fHo3bs3OnfujJiYGLz33nsYN24cfvvtNz1XrhtV3R979+5F9+7dsXnzZhw9ehShoaHo27cvYmJi9Fx59avqvlDLyMjAyy+/jCeffFJPlerHw+yPgQMHYufOnViyZAnOnTuHlStXokmTJnqsWnequj/279+Pl19+GcOHD8fp06exZs0aHD58GCNGjNBz5bqRk5ODli1b4ptvvqlUe1P+La3qvjDl31Gg6vtDzVR/S02aoDK1b99ejB49WmtekyZNxKRJk0pt/84774gmTZpozXvttddEhw4ddFajPlV1f5QmMDBQzJgxo7pL07uH3ReDBg0SU6dOFdOmTRMtW7bUYYX6VdX9sWXLFuHk5CTS09P1UZ7eVXV/fP7556JevXpa877++mvh4+OjsxrlAkCsX7++3Dam/luqVpl9URpT+R19UFX2h6n+lpoy9nCWoaCgAEePHkWPHj205vfo0QP//PNPqe85cOBAifY9e/bEkSNHUFhYqLNa9eFh9seDVCoVsrKyUKtWLV2UqDcPuy+ioqJw6dIlTJs2Tdcl6tXD7I+NGzciKCgIn332GerUqYNGjRph4sSJyM3N1UfJOvUw+6Njx45ISkrC5s2bIYTAtWvXsHbtWvTp00cfJRscU/4tfVSm8jv6KEz1t9TUWchdgKG6efMmiouL4eHhoTXfw8MDaWlppb4nLS2t1PZFRUW4efMmvLy8dFavrj3M/njQ3LlzkZOTg4EDB+qiRL15mH1x4cIFTJo0Cfv27YOFhWn9b/cw++Py5cvYv38/rK2tsX79ety8eRNjxozBrVu3jP48zofZHx07dsTy5csxaNAg5OXloaioCP369cP8+fP1UbLBMeXf0kdlKr+jD8uUf0tNHXs4K6BQKLReCyFKzKuofWnzjVVV94faypUrMX36dKxevRq1a9fWVXl6Vdl9UVxcjCFDhmDGjBlo1KiRvsrTu6p8N1QqFRQKBZYvX4727dujd+/emDdvHpYuXWoSvZxA1fZHXFwcxo0bhw8++ABHjx7F1q1bER8fj9GjR+ujVINk6r+lD8MUf0eroqb8lpoq/vOgDG5ubjA3Ny/RI3H9+vUS//JW8/T0LLW9hYUFXF1ddVarPjzM/lBbvXo1hg8fjjVr1uCpp57SZZl6UdV9kZWVhSNHjiAmJgYREREApMAlhICFhQW2bduGbt266aV2XXiY74aXlxfq1KkDJycnzbymTZtCCIGkpCQ0bNhQpzXr0sPsj9mzZ6NTp054++23AQAtWrSAnZ0dOnfujI8++qjG9eiZ8m/pwzK139GHYeq/paaOPZxlsLKyQtu2bbF9+3at+du3b0fHjh1LfU9wcHCJ9tu2bUNQUBAsLS11Vqs+PMz+AKR/kYeHh2PFihUmcz5aVfeFo6MjTp48idjYWM1j9OjRaNy4MWJjY/H444/rq3SdeJjvRqdOnZCSkoLs7GzNvPPnz8PMzAw+Pj46rVfXHmZ/3L17F2Zm2j/H5ubmAO717NUkpvxb+jBM8Xf0YZj6b6nJk+daJeOwatUqYWlpKZYsWSLi4uLEW2+9Jezs7ERCQoIQQohJkyaJoUOHatpfvnxZ2NraivHjx4u4uDixZMkSYWlpKdauXSvXR6hWVd0fK1asEBYWFuLbb78VqampmsedO3fk+gjVpqr74kGmdmVlVfdHVlaW8PHxEc8//7w4ffq02LNnj2jYsKEYMWKEXB+hWlV1f0RFRQkLCwuxYMECcenSJbF//34RFBQk2rdvL9dHqFZZWVkiJiZGxMTECABi3rx5IiYmRly5ckUIUbN+S6u6L0z5d1SIqu+PB5nab6kpY+CswLfffiv8/PyElZWVaNOmjdizZ49m2bBhw0RISIhW+927d4vWrVsLKysr4e/vLxYuXKjninWrKvsjJCREACjxGDZsmP4L14GqfjfuZ4o/klXdH2fOnBFPPfWUsLGxET4+PiIyMlLcvXtXz1XrTlX3x9dffy0CAwOFjY2N8PLyEi+++KJISkrSc9W6ER0dXe5vQU36La3qvjD139GH+W7czxR/S02VQogaeLyGiIiIiPSG53ASERERkU4xcBIRERGRTjFwEhEREZFOMXASERERkU4xcBIRERGRTjFwEhEREZFOMXASERERkU7V+MC5YMECBAQEwNraGm3btsW+ffsq/d78/HxMnz4d+fn5OqzQeHB/aOP+0Mb9cQ/3hTbuD23cH9q4P0xDjR74ffXq1Rg6dCgWLFiATp064bvvvsPixYsRFxcHX1/fCt+fmZkJJycnZGRkwNHRUQ8VGzbuD23cH9q4P+7hvtDG/aGN+0Mb94dpqNE9nPPmzcPw4cMxYsQING3aFF9++SXq1q2LhQsXyl0aERERkcmosYGzoKAAR48eRY8ePbTm9+jRA//8849MVRERERGZHgu5C5DLzZs3UVxcDA8PD635Hh4eSEtLK/U9+fn5WueQ3Lp1CwBw9epVODk56a5YI5GVlQUASE5ORmZmpszVyI/7Qxv3xz3cF9q4P7Rxf2gzlP2hUqlw7do1tG7dGhYWNTY+PbQav8cUCoXWayFEiXlqs2fPxowZM0rMb9asmU5qM1aBgYFyl2BQuD+0cX/cw32hjftDG/eHNkPZH4cOHUK7du3kLsPo1NjA6ebmBnNz8xK9mdevXy/R66k2efJkREZGal5fvXoVzZo1w6FDh+Dl5aXTeomIiEg+qampaN++fZkZgcpXYwOnlZUV2rZti+3bt+PZZ5/VzN++fTv69+9f6nuUSiWUSqXmtfowupeXF3x8fHRbMBEREcnOzKzGXv7ySGps4ASAyMhIDB06FEFBQQgODsb333+PxMREjB49Wu7SiIiIiExGjQ6cgwYNQnp6OmbOnInU1FQ0a9YMmzdvhp+fn9ylEREREZmMGh04AWDMmDEYM2aM3GUQERERmSyeiEAm6/r163jttdfg6+sLpVIJT09P9OzZEwcOHNC0USgU2LBhQ7VsLyEhAQqFArGxseW22717NxQKBe7cuVNiWatWrTB9+nRNm/IeS5cuBQD89ttv6Nq1K5ycnGBvb48WLVpg5syZmmG7KmPdunXo3r073N3d4ejoiODgYPz1118l2v32228IDAyEUqlEYGAg1q9fr7V89uzZaNeuHRwcHFC7dm0888wzOHfunGZ5YWEh3n33XTRv3hx2dnbw9vbGyy+/jJSUlAprvH37NoYOHQonJyc4OTlh6NChJfbhm2++ibZt20KpVKJVq1aV/vx79uxB27ZtYW1tjXr16mHRokVay3/44Qd07twZLi4ucHFxwVNPPYVDhw5VuN6TJ08iJCQENjY2qFOnDmbOnIkHb+5W0bYfdOvWLbzxxhto3LgxbG1t4evri3HjxiEjI0PTJiEhAcOHD0dAQABsbGxQv359TJs2DQUFBRXWXNF/Y+DRbglMRDUTAyeZrP/97384fvw4li1bhvPnz2Pjxo3o2rVrlYJYZVXmD3lVdOzYEampqZrHwIEDERYWpjVv0KBBmDJlCgYNGoR27dphy5YtOHXqFObOnYvjx4/j559/rvT29u7di+7du2Pz5s04evQoQkND0bdvX8TExGjaHDhwAIMGDcLQoUNx/PhxDB06FAMHDsTBgwc1bfbs2YOxY8fi33//xfbt21FUVIQePXogJycHAHD37l0cO3YM77//Po4dO4Z169bh/Pnz6NevX4U1DhkyBLGxsdi6dSu2bt2K2NhYDB06VKuNEAKvvvoqBg0aVOnPHh8fj969e6Nz586IiYnBe++9h3HjxuG3337TtNm9ezdeeOEFREdH48CBA/D19UWPHj2QnJxc5nozMzPRvXt3eHt74/Dhw5g/fz7mzJmDefPmVWnbD0pJSUFKSgrmzJmDkydPYunSpdi6dSuGDx+uaXP27FmoVCp89913OH36NL744gssWrQI7733Xrn7ojL/jVevXo233noLU6ZMQUxMDDp37oxevXohMTGx3HUTUQ0n6KFdvXpVABBXr16VuxR6wO3btwUAsXv37jLb+Pn5CQCah5+fnxBCiIsXL4p+/fqJ2rVrCzs7OxEUFCS2b99e4r0ffvihGDZsmHB0dBQvv/yy1roAiJCQkFK3Gx0dLQCI27dvl1jWsmVLMW3atBLzhw0bJvr376817+DBgwKA+PLLL8vcB48iMDBQzJgxQ/N64MCBIiwsTKtNz549xeDBg8tcx/Xr1wUAsWfPnjLbHDp0SAAQV65cKbNNXFycACD+/fdfzbwDBw4IAOLs2bMl2k+bNk20bNmyzPXd75133hFNmjTRmvfaa6+JDh06lPmeoqIi4eDgIJYtW1ZmmwULFggnJyeRl5enmTd79mzh7e0tVCrVQ2+7NL/++quwsrIShYWFZbb57LPPREBAQLnrqcx/4/bt24vRo0drtWnSpImYNGlSlWomMjb8m/9o2MNJJsne3h729vbYsGGD1t2h7nf48GEAQFRUFFJTUzWvs7Oz0bt3b+zYsQMxMTHo2bMn+vbtW6IH5/PPP0ezZs1w9OhRvP/++5pDrDt27EBqairWrVunw08ILF++HPb29mWeg+zs7Azg3qH+3bt3V3rdKpUKWVlZqFWrlmbegQMHStwKtmfPnuXeClZ9mPf+9ZTWRqFQaOotzYEDB+Dk5ITHH39cM69Dhw5wcnJ65FvRlvW5jhw5gsLCwlLfc/fuXRQWFpb7uQ4cOICQkBCtodR69uyJlJQUJCQkVHrb6tMr1O8pTUZGBhwdHcu9+0lGRkaJev39/TF9+nStmsv7b8xbAhPRw2LgJJNkYWGBpUuXYtmyZXB2dkanTp3w3nvv4cSJE5o27u7uAKRg5unpqXndsmVLvPbaa2jevDkaNmyIjz76CPXq1cPGjRu1ttGtWzdMnDgRDRo0QIMGDTTvd3V1haenZ7lhpDpcuHAB9erVg6WlZbntLC0tNef7VdbcuXORk5ODgQMHaualpaVV6VawQghERkbiiSeeKPNuXHl5eZg0aRKGDBkCR0fHMutJS0tD7dq1S8yvXbt2mduvrLI+V1FREW7evFnqeyZNmoQ6dergqaeeqvJ61csqu21bW1s0bty4zP/O6enp+PDDD/Haa6+VWculS5cwf/78EkO+1a9fH25ubhXWrK73YW4JTEQEMHCSCfvf//6HlJQUbNy4ET179sTu3bvRpk0bzcU2ZcnJycE777yDwMBAODs7w97eHmfPni3RwxkUFKTD6ismyrkN6/3q1KmDs2fPon379pVa78qVKzF9+nSsXr26RMiryq1gIyIicOLECaxcubLU5YWFhRg8eDBUKhUWLFigmT969GhND7W9vX2Z265o+6W5f733h6/SPldZ2/zss8+wcuVKrFu3DtbW1uVurzLrrahN+/btcfbsWdSpU6fE+jMzM9GnTx8EBgZi2rRppdaQkpKCsLAwDBgwACNGjNBatnPnTkRERFRY84PzqvI9ICICOCwSmThra2t0794d3bt3xwcffIARI0Zg2rRpCA8PL/M9b7/9Nv766y/MmTMHDRo0gI2NDZ5//vkSFwbZ2dk9VE3qnryMjIwSh5Hv3LmjuYNVRRo1aoT9+/ejsLCwwl7Oylq9ejWGDx+ONWvWlOi98/T0rPStYN944w1s3LgRe/fuLfUuXIWFhRg4cCDi4+Oxa9curd7NmTNnYuLEiSW2fe3atRLruXHjRpVuM3f/CALqbZb1uSwsLODq6qo1f86cOfj444+xY8cOtGjRotxtlbVe4F5PZ1W2/aCsrCyEhYXB3t4e69evL/U7kJKSgtDQUM2NLSpS0X/jh7klMBERwB5OqmECAwM1V0wD0uHm4uJirTb79u1DeHg4nn32WTRv3hyenp7lnj+nZmVlBQAl1veghg0bwszMTHPOqFpqaiqSk5PRuHHjSn2WIUOGIDs7W6t38H6lDbtUnpUrVyI8PBwrVqxAnz59SiwPDg7G9u3bteZt27YNHTt21LwWQiAiIgLr1q3Drl27EBAQUGI96rB54cIF7Nixo0Swql27tuY0hQYNGmi2nZGRoTUU0cGDB5GRkaG1/Yrcv151721ZnysoKEgrxH3++ef48MMPsXXr1kr1bgcHB2Pv3r1a/1DZtm0bvL294e/vX6VtPygzMxM9evSAlZUVNm7cWGpPa3JyMrp27Yo2bdogKiqqUrfjq+i/8f23BL7f9u3bq/TfgYhqILmuVjIFvGLNcN28eVOEhoaKn3/+WRw/flxcvnxZ/Prrr8LDw0O8+uqrmnYNGzYUr7/+ukhNTRW3bt0SQgjxzDPPiFatWomYmBgRGxsr+vbtKxwcHMSbb76peZ+fn5/44osvtLZZWFgobGxsxEcffSTS0tLEnTt3yqzv9ddfF76+vmL9+vXi8uXLYv/+/SIkJEQ0b9681CuNS7tKXQjpKmdzc3Px9ttvi3/++UckJCSIHTt2iOeff15z9XpSUpJo3LixOHjwYJn1rFixQlhYWIhvv/1WpKamah73f4a///5bmJubi08++UScOXNGfPLJJ8LCwkLryvHXX39dODk5id27d2ut5+7du5p91K9fP+Hj4yNiY2O12uTn55dZnxBChIWFiRYtWogDBw6IAwcOiObNm4unn35aq82FCxdETEyMeO2110SjRo1ETEyMiImJKXfdly9fFra2tmL8+PEiLi5OLFmyRFhaWoq1a9dq2nz66afCyspKrF27VqvmrKysMtd7584d4eHhIV544QVx8uRJsW7dOuHo6CjmzJlTpW0fPHhQNG7cWCQlJQkhhMjMzBSPP/64aN68ubh48aJWPUVFRUIIIZKTk0WDBg1Et27dRFJSklab+3Xr1k3Mnz9f87oy/41XrVolLC0txZIlS0RcXJx46623hJ2dnUhISChzXxCZAv7NfzQMnI+AXz7DlZeXJyZNmiTatGkjnJychK2trWjcuLGYOnWqJvwIIcTGjRtFgwYNhIWFhWZYpPj4eBEaGipsbGxE3bp1xTfffCNCQkIqDJxCCPHDDz+IunXrCjMzszKHRVLXN3PmTNG0aVNhY2Mj/Pz8RHh4eIlAoFZW4BRCiNWrV4suXboIBwcHYWdnJ1q0aCFmzpypGRYpPj5eABDR0dFl1hMSElJiWCcAYtiwYVrt1qxZIxo3biwsLS1FkyZNxG+//aa1vLR1ABBRUVFatZT2KK8+IYRIT08XL774onBwcBAODg7ixRdfLDH0U1mfIz4+vtx17969W7Ru3VpYWVkJf39/sXDhQq3lDw6hpX6UNoTV/U6cOCE6d+4slEql8PT0FNOnT9cMiVTZbauH0VJ/BvXr8j5nVFRUmW0e/FwPfoaK/hsLIcS3334r/Pz8hJWVlWjTpk25w14RmQr+zX80CiEeuO0FVVpSUhLq1q2Lq1evlnqeGhEREZkG/s1/NDyHk4iIiIh0ioGTiIiIiHSKgZOIiIiIdIqBk4iIiIh0ioGTiIiIiHSKgZOIiIiIdIqBk4iIiIh0ioGTiIiIiHSKgZOIiIiIdIqBk4iIiIh0ioGTiIiIiHSKgZOIiIiIdIqBk4iIiIh0ioGTiMgE3M69jQ1nN2DclnFo810b3C28q5ftFhYCYWHAc88BOTl62SQRGSELuQsgIqKqy8jLwL7EfYiOj0Z0QjRi02IhIDTL/078G93rd9d5HXfvAn/9JT234F8UIioDfx6IiIxAdkE29ifu1wTMo6lHoRIqrTZN3Jog1D8Uof6haFennV7qUvdqmpsDVlZ62SQRGSEGTiIiAxV3Iw4rTq5AdEI0DiUfQpGqSGt5g1oNNAGzq39XeDl46b3Gu/8dube1BRQKvW+eiIwEAycRkQESQqDTj51wJ++OZp6fkx9CA0I1IbOuU135CvyPOnDa2MhbBxEZNgZOIiIDpFAoMLLNSHz+z+cAAA87D/zY/0d0C+gmc2XaCgulqVIpbx1EZNh4lToRkYH6rPtn2PbSNvg5+eFazjU8+dOTeO2P15CZnyl3aRrqwMkLhoioPCYXOBMSEjB8+HAEBATAxsYG9evXx7Rp01BQUKDVTqFQlHgsWrRIpqqJiErXvX53nHz9JMa2GwsA+P7Y93hswWPYenGrzJVJiv47rZSBk4jKY3I/EWfPnoVKpcJ3332HBg0a4NSpUxg5ciRycnIwZ84crbZRUVEICwvTvHZyctJ3uUREFXJQOuCb3t9gQOAADN84HJduX0Kv5b0Q3iocX/T8As7WzrLVpu7htLSUrQQiMgImFzjDwsK0QmS9evVw7tw5LFy4sETgdHZ2hqenp75LJCJ6KCH+ITjx+glM3TUVX/77JZbGLsXh5MPYPnS7LFeoAzykTkSVY3KH1EuTkZGBWrVqlZgfEREBNzc3tGvXDosWLYJKpSrl3ffk5+cjMzNT88jKytJVyUREpbK1tMW8nvPw96t/o45DHZy+cRqdozoj4U6CLPXcuCFNXV1l2TwRGQmTD5yXLl3C/PnzMXr0aK35H374IdasWYMdO3Zg8ODBmDBhAj7++ONy1zV79mw4OTlpHoGBgbosnYioTMF1g7HvlX2o51IPl25fwhM/PoGzN8/qvY60NGnqJU8HKxEZCaMJnNOnTy/1Qp/7H0eOHNF6T0pKCsLCwjBgwACMGDFCa9nUqVMRHByMVq1aYcKECZg5cyY+//zzcmuYPHkyMjIyNI+4uLhq/5xERJUV4BKAfa/sQ6B7IJKzktElqgtu5d7Saw2pqdKUZycRUXmM5qybiIgIDB48uNw2/v7+mucpKSkIDQ1FcHAwvv/++wrX36FDB2RmZuLatWvw8PAotY1SqYTyvsHmMjMNZ2gSIqqZvB28sSd8DzzneOLG3Ru4ln0NtWxKnkKkK9nZ0pTXXBJReYwmcLq5ucHNza1SbZOTkxEaGoq2bdsiKioKZmYVd+TGxMTA2toazs7Oj1gpEZF+qYQKxaIYCigQ4BKg323/d+p7JX5miagGM5rAWVkpKSno2rUrfH19MWfOHNxQn9EOaK5I/+OPP5CWlobg4GDY2NggOjoaU6ZMwahRo7R6MImIjMHFWxcBAHWd6sLawlqv22bgJKLKMLnAuW3bNly8eBEXL16Ej4+P1jIhBADA0tISCxYsQGRkJFQqFerVq4eZM2di7NixcpRMRPRI1IGzQa0Get/2fz+rUCj0vmkiMiImFzjDw8MRHh5ebpsHx+okIjJWQgjsTtgNAGjgov/Aqe7hZOAkovLwIAgRkZEqKC7A8I3DERUbBUC6Daa+sYeTiCrD5Ho4iYhqgtu5t/H8muexK34XzBRm+Drsazwf+Lze62DgJKLKYOAkIjIy17Kvoeuyrjh78yzsreyx+vnV6N2wt6w1MXASUXl4SJ2IyMj8fu53zV2F2nq1RQuPFrLVwh5OIqoMBk4iIiMztMVQjG47GgoosOfKHjT+pjE+3vcx8ory9F5LUZE0teDxMiIqBwMnEZGRsbG0wcKnF+LoqKN4wvcJ3C28iym7pqDZgmb449wfmiHg9KG4WJoycBJReRg4iYiMVGuv1tgbvhfLn1sObwdvXLp9Cf1W9UPvFb1xPv28XmpQ93Cam+tlc0RkpBg4iYiMmEKhwJDmQ3B27Fm82+ldmCvMsfXiVjRb0Awf7vlQ59tnDycRVQZ/IoiIjJAQAvF34nEs9RiOphzFsbRjOJZ6DMVCSoCFqkJ8sPsDvNXhLTgoHXRWR36+NLW01NkmiMgEMHASERk4lVDhQvoFHEuVQuXR1KOISYvBnbw7JdpamFngMffH0MarDfo37q/TsAkAt29LUxcXnW6GiIwcAycRkYFJv5uOTRc2acJlbFossguyS7SzMrdC89rN0darLdp4tUEbrzZo7tEc1hbWeqv11i1pWquW3jZJREaIgZOIyMA8+dOTOH7teIn51hbW+F/T/yHUPxRtvdsi0D0QVuZWMlR4T3q6NGXgJKLyMHASERmY/o37IzEjEbfzbmvNzyvKw/KTy3Eg6QBaebZCa8/Wmqm3gzcUeh59XaUC7tyRnjNwElF5FEKfA7aZmKSkJNStWxdXr16Fj4+P3OUQkQkRQuBq5lXEpMYgNi0WMWnS9ErGlVLbu9m6aQXQVp6t0Mi1EczNdDdeUWYm4OQkPb97F7Cx0dmmiGTHv/mPhj2cREQGSKFQwNfJF75OvujfpL9m/q3cW4hNi9UKoWdunMHNuzex/fJ2bL+8XdPWxsIGLTxa3AuiXq3RvHZz2FhWTzJU924qlQybRFQ+Bk4iIiNSy6YWugV0Q7eAbpp5uYW5OH3jNGJSYzQh9Pi147hbeBcHkw/iYPJBTVszhRmauDXR9IS2r9MenX07P9ThePUV6s7Oj/qpiMjUMXASERk5G0sbBHkHIcg7SDOvWFWMi7cuIiYtBoeTD+PXuF+RlJkElVAh7kYc4m7EYcXJFQCAxX0XY3ib4VXerrqHk4GTiCrCwElEZCKEEEjLTsOJayekx3VpeubGGRSqCkt9T2PXxmjp2fIhtydNeVtLIqoIAycRkRFSH0Y/ce0ETl47qQmXN+/eLLW9o9IRLTxaoEXtFtLUowWa1W72SAPDq29nWVDw0KsgohqCgZOIyIgUFhfi6ZVPY8flHVAJVYnlZgozNHJtVCJc+jr5VvuwSerbWRaW3nlKRKTBwElEZETyivJwOPmwVti0s7TDu53eRe+GvRHoHlhtV6FXRH0ovbhYL5sjIiNmJncBRERUeQ5KBxx77Rje7fQu3G3dAQA5hTmYsWcGPtr3EfZe2Vtqz6cuqP7bDM/hJKKKMHASERkZf2d/fPLUJ7g6/ipW/m8lQvxCUCyKseHsBoQtD0PD+Q3x6f5PcT3nuk7rUAdOM/4lIaIK8GeCiMhIKS2UGNxsMHaH70bcmDi8+fibcLZ2xuXblzFp5yT4zPPBC7+9gL1X9kIXN5Vj4CSiyuLPBBGRCWjq3hRfhn2J5MhkRPWPQvs67VGoKsSqU6sQsjQE7X5oh4y8jGrdJgMnEVUWfyaIiEyIraUtwluF4+CIg9g8ZDMszKRrQ2PTYnE773a1bsvKSprm5VXraonIBDFwEhGZoEPJhzDyj5EoUhXBSemEP174A/7O/tW6jdq1pem1a/cGgSciKg2HRSIiMiFCCETFRmHMpjHIL85HU7em+H3w72jo2rDat+XhIU0LCoCMDN7ikojKxsBJRGQi0u+mY/Sm0VgbtxYA0K9xP/z87M9wVDrqZHs2NoCtLXD3LpCezsBJRGVj4CQiMgFbL27Fq7+/itTsVFiYWWBG1xmY9MQkmCl0d+aUEEB+vvTcRj9jzRORkWLgJCIyYncL7+LtbW9jwZEFAIAmbk3wy7O/oK13W51vOz//3l2G7O11vjkiMmImedGQv78/FAqF1mPSpElabRITE9G3b1/Y2dnBzc0N48aNQ0FBgUwVExFV3aHkQ2j9XWtN2BzXfhyOjTqml7AJANnZ957b2ellk0RkpEy2h3PmzJkYOXKk5rX9ff/8Li4uRp8+feDu7o79+/cjPT0dw4YNgxAC8+fPl6NcIqIqmb1vNt6Pfh/FohjeDt5Y2n8putfvrtca1IHTxoa3tySi8pls4HRwcICnp2epy7Zt24a4uDhcvXoV3t7eAIC5c+ciPDwcs2bNgqOjbk6wJyKqDokZiXhv13sAACtzK6wbuA6P+zyu9zpyc6Upz98kooqY5CF1APj000/h6uqKVq1aYdasWVqHyw8cOIBmzZppwiYA9OzZE/n5+Th69GiZ68zPz0dmZqbmkZWVpdPPQERUmrqOdfF+l/dhaWaJguICdI7qjHe3v4usfP3+JimV0pQDvxNRRUwycL755ptYtWoVoqOjERERgS+//BJjxozRLE9LS4OHegC5/7i4uMDKygppaWllrnf27NlwcnLSPAIDA3X2GYiIyqJQKDAzdCZOjTmF3g17o1BViM/++QyNvmmEn47/BJVQ6aUO9Xmbd+/eu80lEVFpjCZwTp8+vcSFQA8+jhw5AgAYP348QkJC0KJFC4wYMQKLFi3CkiVLkJ6erlmfQqEosQ0hRKnz1SZPnoyMjAzNIy4urvo/KBFRJTVybYRNQzbhzxf+RINaDZCWnYZhG4ah04+dcCTliM63f/+V6erD60REpTGaczgjIiIwePDgctv4+/uXOr9Dhw4AgIsXL8LV1RWenp44ePCgVpvbt2+jsLCwRM/n/ZRKJZTqY0gAMjMzK1k9EZHu9GnUB0/VewpfHfwKH+79EP8m/Yv2P7THq61fxTe9v4G1hbVOtnv/uZvZ2bxSnYjKZjSB083NDW5ubg/13piYGACAl5cXACA4OBizZs1CamqqZt62bdugVCrRtq1+hhMhIqouyZnJ2Je4D1fuXIGbrRuyC7IhILAkZgm6+HXByy1f1sl2Cwqkq9OLi6XnRERlMZrAWVkHDhzAv//+i9DQUDg5OeHw4cMYP348+vXrB19fXwBAjx49EBgYiKFDh+Lzzz/HrVu3MHHiRIwcOZJXqBORQRNC4Hz6eexL3Cc9ruxD/J34Eu0auzbGkwFP4ulGT+uslj17pLDp7Q34+OhsM0RkAkwucCqVSqxevRozZsxAfn4+/Pz8MHLkSLzzzjuaNubm5ti0aRPGjBmDTp06wcbGBkOGDMGcOXNkrJyIqCQhBGLSYrD3yl7sS9yH/Yn7cT3nulYbM4UZWnm2QhffLujs1xlP+D6B2na1dV7bpk3StE8foJzT34mITC9wtmnTBv/++2+F7Xx9ffHnn3/qoSIioof36d+fYvLOyVrzlOZKPO7zODr7dkZn384IrhsMR6X+j85s2SJN+/TR+6aJyMiYXOAkIjIl7rbumuchfiGY1W0WgryDoLRQlvMu3RMCiP/vSD5PfSeiihjNsEhERDXRq61fxfgO4wEA+xP34+bdm7KHTUC6Kr24WHru4iJvLURk+Bg4iYgMmEKhwJwecxDeKhzFohiD1g7C7oTdcpeFO3ekqaUlYGsraylEZAQYOImIDJyZwgw/9P0BzzR5BvnF+ei3sp9eBnYvz+3b0tTFhRcMEVHFGDiJiIyAhZkFVv5vJUL9Q5FVkIVey3vh7M2zstWjDpzOzrKVQERGhIGTiMhIWFtY4/fBvyPIOwg3795E95+7IzEjUZZaUlKkqaenLJsnIiPDwElEZEQclA7Y8uIWNHFrgqTMJHT/uXuJcTn1IfG/nOvnp/dNE5ERYuAkIjIybrZu2PbSNvg6+eJ8+nn0WdEHQgi91nDlijT97wZuRETlYuAkIjIyWflZ+DHmR9zKvQUAOHX9FG7n3dZrDVevSlMGTiKqDA78TkRkJAqKC/DD0R8wc+9MzWH0IO8gzO0xF7Vsaum1FnXgrFtXr5slIiPFwElEZOBUQoU1p9dgyq4puHT7EgCgQa0G+Ljbx3g+8HkoZBiXKClJmvr46H3TRGSEGDiJiAzYzss78e6Od3E09SgAwMPOA9NCpmFEmxGwNLeUpabcXCA9XXrOwElElcHASURkIG7k3MCZm2dw5sYZnLl5BodTDuOfq/8AAOyt7PFOx3cwPng87K3sZa0zOVma2tpyHE4iqhwGTiIiPVIJFRIzEjWhUj09e/Ms0nPTS7S3NLPEmHZjMKXzFLjbuctQcUkXLkhTPz/eZYiIKoeBk4hIB/KL8nHh1gWcuSGFyTM3pWB57uY55BbllvoeBRTwd/ZHE7cmaOrWFE3dm6J7ve7wczaswS6P/HdXzbZt5a2DiIwHAycR0SPKL8rHxnMbcSTlCM6mn8WZG2dw+fZlFIviUttbmVuhYa2GaOreVAqW/4XLRq6NYGtpq+fqq04dOIOC5K2DiIwHAycR0UNKzkzGoiOL8P2x70u924+DlUOJUNnUrSkCXAJgYWacP7+3bgF790rPGTiJqLKM8xePiEgmQgjsT9yP+YfmY92ZdZpezDoOddCvcT8EugdqwqWXvZcsQxbp0rRpwJ07wGOPAY8/Lnc1RGQsGDiJiCrhbuFdrDi5At8c+gbHrx3XzO/i1wUR7SLwTJNnZBumSF9OngQWLJCef/01YMG/IERUSfy5ICIqx+Xbl7Hw8EIsiVmiuX2kjYUNXmrxEsa2G4uWni1lrlA/hADGjQNUKuD554Fu3eSuiIiMCQMnEdEDsguysSt+FxYfW4w/z/8JAQEACHAOwNh2Y/FK61f0fitJudy5AyQkAH/9BezeDVhbA3PmyFwUERkdBk4iqvGKVcU4mnoU2y5tw/bL2/HP1X9QpCrSLO9RvwfeaP8GejXoBXMzcxkrrX7Z2VKgTEgA4uNLTu/c0W7/7rvS+JtERFXBwElENVL87XhNwNwVv0tzuFwtwDkA/Rr3w+tBr6OxW2OZqnx0eXnAlSulh8n4eODmzYrX4e4O+PsDXboAkybpuGAiMkkMnERUI9zJu4Po+GhNyLx0+5LWcielE56s9yS61+uO7vW6o36t+jJVWjWFhUBiYulhMiEBSE2teB3OzkBAgBQqH5z6+wP28t5Jk4hMAAMnEZmkwuJCHEw+iO2XtmPb5W04lHwIKqHSLLcws0AHnw7oXq87etTvgSDvIIMcG7O4WLp3eWlhMj5eWqZSlb8OOzspQJYVKnk/dCLSNcP7dSWiGqdYVYxCVSEKiwsrnBapisptk343HbsSdiE6PhpZBVla22ns2ljqwazfHV39u8JR6SjTJ74nO1sKjSkp0lR9+FsdKhMTgaKi8tdhbX2vN7K0YOnqynueE5G8GDiJjFB1BrSHek8p84pURVXaxv3vUV8FXt1cbVzxZL0n0aNeD3Sv3x2+Tr462U5pCgqkw9nqMKkOlA8+z8qqeF2WloCvb9m9lB4eDJREZNgYOKlGqEpAe9TwVNmA9ihhUFcBzZBYmFnA0swSluaWZU5La2NraYsOdTqgR/0eaO3VGmYKs2qtS6UCrl8vP0QmJ1fuYhw1BwegTh3Ay0u6AvzBUOntDZib1sXxRFTDMHBSmQqKC5BflM+AZiQqE9Aszf4LaRW0qUywe+RtlPMeCzMLWW4JeedO+SEyJQVIS6v4ELealZUUFr29pUD54HN1yHRw0OnHIiKSHQMnady8exN7r+xFdHw0dl/ZjVPXT8ldkk5VJURV2PYRA9qjvkeugGbscnKA6GhgyxZg61bg8uXKvU+hADw9yw+T3t48d5KISI2Bswa7nXsbe67swe6E3YhOiMaJayfKba/LgFYdvWJVeQ8DWs0kBHDunBQwt2wB9u4F8vO127i4lB8i69SRzpnkfcSJiCrP5H4yd+/ejdDQ0FKXHTp0CO3atQOAUsPGwoULMXr0aJ3WJ6c7eXew78o+RCdEIzohGsfTjpc41BzoHohQ/1CE+oeiY92OcLZ2ZkAjo5adDezada8XMyFBe7m/P9CrFxAWBnTtCjjKf+E6EZHJMbnA2bFjR6Q+MNLx+++/jx07diAoKEhrflRUFMLCwjSvnZyc9FKjvmTmZ2oC5u6E3YhJi9EahxAAmrg1QVe/rggNCEWIXwg87D1kqpaoeggBnDlzrxdz3z7pinE1KysgJEQKmb16AY0b87A3EZGumVzgtLKygqenp+Z1YWEhNm7ciIiIiBI9dM7OzlptjV1Wfhb2J+7XHCI/mnq0RMBsWKuh1IP5X8D0cvCSqVqi6pOVBezcea8XMzFRe3lAwL2AGRoqDYRORET6Y3KB80EbN27EzZs3ER4eXmJZREQERowYgYCAAAwfPhyjRo2CmVnZQ6jk5+cj/74TvrIqM4Cenmw6vwkD1gxAblGu1vz6LvXR1b8rQv1D0dW/K+o41pGpQqLqd/Ei8NlnwLJl2r2YSqV0eFwdMhs2ZC8mEZGcTD5wLlmyBD179kTdunW15n/44Yd48sknYWNjg507d2LChAm4efMmpk6dWua6Zs+ejRkzZui65CrLzM/EyD9GIrcoF75Ovngy4ElNyKzrVLfiFRAZmZMngU8+AVatundbx/r17wXMrl0BW1tZSyQiovsohBBGMUDh9OnTKwx7hw8f1jpPMykpCX5+fvj111/xv//9r9z3zp07FzNnzkRGRkaZbR7s4UxOTkZgYCCuXr0KHx+fSn6S6hf5VyS++PcLNKjVACdfPwlrC2vZaiHSpYMHgY8/BjZuvDevVy/gvfeAJ56Qry4iMn1JSUmoW7eu7H/zjZXR9HBGRERg8ODB5bbx9/fXeh0VFQVXV1f069evwvV36NABmZmZuHbtGjw8Sr9wRqlUQqlUal5nZmZWXLiOnbx2El8f/BoAML/XfIZNMjlCSFeZf/yxNAWkw+PPPw9Mngy0bi1vfUREVDGjCZxubm5wc3OrdHshBKKiovDyyy/D0tKywvYxMTGwtraGs7PzI1SpX0IIjN08FsWiGM81fQ5hDcIqfhORkVCpgD//lILmwYPSPAsLYOhQ4N13pavLiYjIOBhN4KyqXbt2IT4+HsOHDy+x7I8//kBaWhqCg4NhY2OD6OhoTJkyBaNGjdLqwTR0a+PWYl/iPtha2uKLnl/IXQ5RtcjNBX75BfjySyAuTppnbQ2MGAG8/Tbg6ytreURE9BBMNnAuWbIEHTt2RNOmTUsss7S0xIIFCxAZGQmVSoV69eph5syZGDt2rAyVPry/r/4NABjeejh8nfhXmIxbSgrw7bfAd98B6enSPAcHYOxY4K23pLv7EBGRcTLZwLlixYoyl4WFhWkN+G6sbt69CQDwc/KTuRKih3fkiNSbuXo1UFQkzfP3B8aNA159FTCx+zEQEdVIJhs4awJ14HSzrfy5rUSGoLAQWL8e+Ppr4O+/783v3FnqzezfHzA3l608IiKqZgycRiorPwtHUo4AAAdzJ6ORmgp8/7102Fx9B1pLS2DwYODNN4G2beWtj4iIdIOB00h9dfArpOemo5FrI3T17yp3OURlEkLqxfzmG+C33+4dNvf0BEaNAkaPBrx4h1UiIpPGwGmEbufexpx/5gAAZnSdAQsz/mckw5OTA6xYIQXNEyfuze/UCYiIAJ57DrCykq8+IiLSHyYVI/T5P58jIz8DLTxaYOBjA+Uuh0jLxYvAggXAjz8C6ht32dgAL74oXXHeqpWs5RERkQwYOI3Mtexr+OrgVwCAD0M/hJnCTOaKiKSLgDZvls7N3LLl3vx69aSQ+corgIuLfPUREZG8GDiNiPrOQncL76Kddzv0bdRX7pKohrt0CViyBIiKAtLSpHkKhXR/84gIoGdPwIz/JiIiqvEYOI3IT8d/wm9nfoOFmQUWPb0ICoVC7pKoBsrLk4Y0+uEHIDr63nx3dyA8XLoQqEED2cojIiIDxMBpJOJvx+ONLW8AAGZ2nYk2Xm1krohqmrNngUWLgJ9/Bm7dkuYpFFIv5siRwNNP8yIgIiIqHQOnkZi+ZzqyCrLwhO8TeKfTO3KXQzWIENIA7W+/LZ2rCQB160p3AXr1Vd7bnIiIKsbAaSTSsqUT5Ea1GQVzM96ChfTj9m0pVG7YIL3u2VMaoL1HD94JiIiIKo+B08jwvE3Sl8OHgYEDgYQE6VD53LnSFef8ChIRUVUxcBKRFiGA+fOBiROlQ+gBAcCvvwJBQXJXRkRExoqBk4g07twBhg8H1q2TXj/3nDTskbOznFUREZGx4wh5RkYlVHKXQCaooEDq1WzYUAqblpbAV18Ba9cybBIR0aNjD6eR8LL3AgBczbgqcyVkSoQAfvsNmDxZuiUlADRuLA191K6dvLUREZHpYA+nkWjs2hgAcDb9rMyVkKnYvx/o2BEYMEAKm7VrAwsXAqdOMWwSEVH1Yg+nkWji1gQAcPYmAyc9mrNnpR5N9VBHtrbSGJsTJgAODrKWRkREJoqB00jcHziFEBweiars+nVg2jTplpTFxdI9zkeMAKZPB7y85K6OiIhMGQOnkahfqz4UUCC7IBvXcq7B095T7pLIiKSlAY8/DiQmSq/79gU++QQIDJS3LiIiqhkYOI1EUmYSBAQszSzhpHSSuxwyIrm5QP/+UtisX18a5igkRO6qiIioJmHgNBL7E/cDAIK8g2BjaSNzNWQshABeeQU4dAhwcQG2bJGGPiIiItInXqVuJNSB8wnfJ2SuhIzFtWtAeDiwejVgYSGNr8mwSUREcmAPp5G4cfcGAMDPyU/mSsjQ3b0LfPGFdI5mdrY0b9EioGtXWcsiIqIajIHTSNR1rAtAOpeTqDQqlTRg+5QpQHKyNK9dO2DOHKBLF3lrIyKimo2B00j4OvkCAK5kXJG5EjJEO3cCEycCsbHSaz8/YPZsYNAgafgjIiIiOTFwGgn1ofTEjESZKyFDEhcnDdq+ebP02slJ6uF84w3A2lre2oiIiNQYOI2En7MUONnDSWpffQVERkqH0i0sgNdfBz74AHBzk7syIiIibQycRuJ27m0AgAK8wxABCQnAO+9IYfOZZ4BPPwUaNZK7KiIiotIxcBqJ9WfXAwB6N+wtcyVkCKZOBQoKgCeflIY74p1OiYjIkBnl5QSzZs1Cx44dYWtrC2dn51LbJCYmom/fvrCzs4ObmxvGjRuHgoICrTYnT55ESEgIbGxsUKdOHcycORNCCD18gqpRCRV+P/c7AODZJs/KXA3J7dgxYPly6flnnzFsEhGR4TPKHs6CggIMGDAAwcHBWLJkSYnlxcXF6NOnD9zd3bF//36kp6dj2LBhEEJg/vz5AIDMzEx0794doaGhOHz4MM6fP4/w8HDY2dlhwoQJ+v5I5TqYdBBp2WlwVDoiNCBU7nJIRkJIFwkBwIsvAm3ayFsPERFRZRhl4JwxYwYAYOnSpaUu37ZtG+Li4nD16lV4e3sDAObOnYvw8HDMmjULjo6OWL58OfLy8rB06VIolUo0a9YM58+fx7x58xAZGQmFAXUbbTi7AYB0ON3K3EreYkhWa9cCu3YBVlbARx/JXQ0REVHlGOUh9YocOHAAzZo104RNAOjZsyfy8/Nx9OhRTZuQkBAolUqtNikpKUhISNB3yeXKKsgCAFiaWcpcCcnpt9+kXk0AePNNwN9f1nKIiIgqzSQDZ1paGjw8PLTmubi4wMrKCmlpaWW2Ub9Wt3lQfn4+MjMzNY+srCwdVF/SK61eAQCsOrUKyZnJetkmGZZffgEGDgQKC4HBg4FZs+SuiIiIqPIMJnBOnz4dCoWi3MeRI0cqvb7SDokLIbTmP9hGfcFQWYfTZ8+eDScnJ80jMDCw0vU8inZ12qGLXxcUqgox/9B8vWyTDMcPPwAvvywNgfTKK1L4tGRnNxERGRGDCZwRERE4c+ZMuY9mzZpVal2enp4leilv376NwsJCTS9maW2uX78OACV6PtUmT56MjIwMzSMuLq6qH/OhTQyeCABYdGQRsvL107NK8vvqK2DUKOliobFjgcWLAXNzuasiIiKqGoO5aMjNzQ1u1XSLlODgYMyaNQupqanw8vICIF1IpFQq0bZtW02b9957DwUFBbCystK08fb2hn8ZJ8cplUqtcz4zMzOrpd7K6NOoDxq7Nsa59HP4MeZHvNnhTb1tm/QvIUEazH3RIun1xIkcAomIiIyXwfRwVkViYiJiY2ORmJiI4uJixMbGIjY2FtnZ2QCAHj16IDAwEEOHDkVMTAx27tyJiRMnYuTIkXB0dAQADBkyBEqlEuHh4Th16hTWr1+Pjz/+2OCuUFczU5jh5ZYvAwAOJh+UuRrSlRMngJdeAho0uBc2P/iAYZOIiIybwfRwVsUHH3yAZcuWaV63bt0aABAdHY2uXbvC3NwcmzZtwpgxY9CpUyfY2NhgyJAhmDNnjuY9Tk5O2L59O8aOHYugoCC4uLggMjISkZGRev88laW+St3SnCfwmRIhgL17pR7NLVvuzX/qKWDyZKBbN/lqIyIiqg5GGTiXLl1a5hicar6+vvjzzz/LbdO8eXPs3bu3GivTrYJi6U5JSnNlBS3JWPz9NzBhAnDwv05rMzPg+eel+6T/d/YHERGR0TPKwFkTCSHwb/K/AAB7K3uZq6HqcOcO0KsXkJUFKJXSFegTJkiH04mIiEwJA6eRWHVqFf48/ycszSwR3ipc7nKoGixaJIXNwEDp7kFlDI5ARERk9IzyoqGaJi07DRFbIgAA73d5Hy08WshcET2q/HxpyCMAePddhk0iIjJtDJwGTgiB1ze9jlu5t9DaszUmPTFJ7pKoGixfDqSlAXXqSHcOIiIiMmUMnAZu1alV2HB2AyzNLLH0maW8Qt0EFBYCc+dKz996C/hvGFgiIiKTxcBp4NS3shzUbBAPpZuAf/8FgoKAuDjAwQEYOVLuioiIiHSPgdPAvdTiJQDAr6d/xbHUYzJXQw8rI0O6NWXHjtLg7rVqAT//DDg5yV0ZERGR7jFwGrjXg17HM02eQUFxAQavHcz7qBsZIYA1a4AmTYAFC6TXw4YBZ88C/fvLXR0REdH/2bvvuCjrBw7gn2OdDAEVWYKIW8SNJpghbsvVcGdSakNJE6ufKwdpmJoNy6ycmStXaamJuTLRUMFU3AtQECdLOdb398cTpydbOZ7n7j7v1+teN56H43Pfno6Pz6wYLJwKp1KpsKT3Enjae+L8nfMYvW203JGolK5cAXr2BPr3lw4QqldPOv3R8uVA9epypyMiIqo4LJwGoKp1Vax5eQ3MVeZY+e9KrIhZUfIPkWzy8oB586Tza27bJh0UNG2atCk9KEjudERERBWPhdNAtKvZDjM6zAAAjN0xFncf3JU5ERUmNRXo2xf44APgwQMgMBA4fhyYPh2oVEnudERERPJg4TQgE56dgKYuTZGiScFnkZ/JHYcec/480LYtsHWrdKnK778H9uyR9t8kIiIyZSycBsTczFy7lvOLQ1/gZsZNmRNRvp07gTZtgNOnpZO5//WXdMojlUruZERERPJj4TQwfRr0QePqjZGRnYFvor6ROw4BWLoU6NEDuHcP8PcHoqKA1q3lTkVERKQcLJwG5vfzv+P0rdMAABdbXoBbbl99BQwfLh0oFBwsbUJ3c5M7FRERkbKwcBqQI9ePYMCGAcgTeXi9+et42+9tuSOZtE8+AcaOlR6PHy+t6VSr5c1ERESkRCycBuLy3cvoubon7mffR5faXfBdz++g4g6CshACmDQJmDxZej59OjB3LvfXJCIiKoqF3AGoZHce3MHzq5/HjYwbaObSDBv6b4CluaXcsUxSXh4wbpy0KR2Qzrc5fry8mYiIiJSOhdMAvLn1TZy5dQYe9h74ffDvsFfbyx3JZH300cOy+e23wNvcq4GIiKhELJwKl52bjW3ntwEA1vdbjxr2NWROZLoOHwZmz5YeL10KvP66vHmIiIgMBffhVLhTN0/hQc4D2Kvt0aZGG7njmKzMTKlg5uUBr77KsklERFQWLJwKF3UtCgDQ2r01zFT8zyWXGTOkk7q7uABffil3GiIiIsPCBqNw/1z7BwC4dlNGUVHAnDnS4+++A6pWlTcPERGRoWHhVLijiUcBAE1dmsqcxDTduQMMHSptSh88GOjTR+5EREREhoeFU+G8q3gDAL7+52vk5uXKnMa0ZGQAPXsCZ88C7u4Pj04nIiKismHhVLj5XeejslVl/B3/N+YenCt3HJORnQ306wdERgKOjsAffwDVqsmdioiIyDCxcCqcl6MXvuohrVqbumcqYpJi5A1kAvLygDfeALZvB6ytgd9+A3x95U5FRERkuFg4DcCwZsPQt2FfZOdlY+jmocjMyZQ7ktESAnj/feCnnwBzc2D9eqBdO7lTERERGTYWTgOgUqnwfc/vUd2mOk4mn8TnkZ/LHclo/fwz8Pl/w7t0KfDCC/LmISIiMgYsnAbiWto1ZGRnAADMzcxlTmO8/vpLun/7beC11+TNQkREZCxYOA1AckYy+qztg/vZ99G1TleE+ofKHclopaRI93XqyJuDiIjImBhk4Zw1axYCAgJgY2MDR0fHAtOPHz+OQYMGwdPTE9bW1mjUqBG+fOzyMFeuXIFKpSpw27FjRwV9itLJE3not74f4lLiUK9qPax9eS0szCzkjmW0UlOle3t7eXMQEREZE4NsLllZWejXrx/8/f2xZMmSAtOPHj2K6tWr46effoKnpycOHjyIN998E+bm5ggJCdGZd9euXWjcuLH2eVWFXUbmyPUj2H91P2wsbbBl0BZUsa4idySjdv26dM9TIBEREZUfgyycM2bMAAAsX7680OlvvPGGzvPatWsjMjISmzZtKlA4q1WrBldXV73kLA/HEo8BANrXbI+GTg1lTmPcsrOBEyekx82ayZuFiIjImBjkJvUnkZKSUujay969e8PZ2Rnt2rXDhg0bZEhWvOjEaABAC9cWMicxfmfOABoNULkyULu23GmIiIiMh0Gu4SyryMhI/Pzzz/j999+1r9nZ2WH+/Plo164dzMzMsGXLFgwYMAArVqzAq6++Wuj7aDQaaDQa7fO0tDS9Z49O+q9wurFw6lu0NNRo3hwwM5l/ihEREemfYv6sTp8+vdCDeB69HTlypMzve+rUKfTp0wdTp05Fly5dtK87OTlh3LhxaNOmDfz8/BAWFoZRo0Zhzpw5Rb5XeHg4HBwctDcfH58n+qyllZOXgxPJ0jZeruHUv2PS3gto2VLeHERERMZGMWs4Q0JCMHDgwGLnqVWrVpneMzY2Fh07dsTIkSMxZcqUEudv27YtFi9eXOT0iRMnIjT04SmJrl27ptfSeSr5FDJzMlHZqjLqVOV5evQpNhbIP/6sbVt5sxARERkbxRROJycnODk5ldv7nTp1Ch07dsSwYcMwa9asUv1MdHQ03NzcipyuVquhVqu1z1Pzz6GjJ4cSDgEAnvF4BmYqxayMNjr37gF9+gDp6UBQEPDKK3InIiIiMi6KKZxlERcXhzt37iAuLg65ubmIiYkBANStWxd2dnY4deoUgoKC0LVrV4SGhiIpKQkAYG5ujurVqwMAVqxYAUtLS7Ro0QJmZmbYunUrvvrqK3z66adyfawCIhMiAQBta3CVm77k5gKDBwMXLgBeXsC6dYCFQf5fQUREpFwG+ad16tSpWLFihfZ5ixbS/o179uxBhw4dsH79ety8eROrVq3CqlWrtPN5eXnhypUr2uczZ87E1atXYW5ujvr162Pp0qVFHjAkh/w1nP6e/jInMV5TpwLbtwPW1sDmzcB//x4hIiKicqQSQgi5QxiqhIQEeHp6Ij4+Hh4eHuX63nce3EG1OdLZx299cAvVbHgm8vK2fj3Qv7/0eNUqaU0nERFRYfT5N98UcMdAhbp89zIAwNnWmWVTD7ZvB4YMkR6PH8+ySUREpE8snArl6eAJALiZcROZOZkypzEuf/4JvPSSdGWh/v2B2bPlTkRERGTcWDgVqrpNddir7SEgcPHORbnjGI2//gJ69wYyM6Uj03/6iQcJERER6RsLp0KpVCrUq1oPAHD+znmZ0xiHw4eB558H7t8HuneXjki3tJQ7FRERkfFj4VSwulXrAgDO32bhfFonT0olMz0d6NgR2LQJeOSUqkRERKRHLJwK1sS5CQDgu6PfIVWj35PMG7sVK6QTvLdoAWzZIp0GiYiIiCoGC6eCvdP6HdR0qImLdy9i5NaR4Bmsnlw9ae8EODkBtrbyZiEiIjI1LJwKVtW6Kta9sg4WZhb4+dTP+O7od3JHMlj/XRsA0dEAezsREVHFYuFUuLYebfFpZ+lymx9EfIDs3GyZExmmJk0Ac3Pg1i3g2jW50xAREZkWFk4D8HKjlwEAWblZMFPxP9mTqFQJqF9fehwdLW8WIiIiU8P2YgDyT4tUu0ptmJuZy5zG8Fy4IJ1z8/Rp6XlSkrx5iIiITA0LpwG4cOcCgIenSaLSSUkBPvgA8PGRjkw3NwfefRcYOlTuZERERKaF11gxAPmFM/9E8FQ8IYAlS4DJk4HkZOm1bt2A+fOl8klEREQVi4XTAORvUucaztKZOhWYOVN6XL++VDSffx5QqeTNRUREZKq4Sd0AcA1n6e3eDcyaJT2eNQs4cQJ44QWWTSIiIjlxDafC5Yk8XLxzEQDXcJYkORkYMkTapD5yJDBpktyJiIiICOAaTsVLSE2AJlcDSzNLeDp4yh1HsfLygOBg6Qh0Hx/giy/kTkRERET5WDgV7vzth6dEsjDjCumifP45sH27dL7NdesAGxu5ExEREVE+Fk6F4wFDJVu5Evjf/6THX34J+PrKm4eIiIh0sXAq3JlbZwAADao1kDmJMn32GfDaa0BuLvD669K+m0RERKQsLJwKd/qWdHmcRtUbyZxEWfLypJO6v/++9Dw0FFi8mEejExERKRF3ClS4/DWcjZxYOPNlZwMjRgA//ig9nzNHKp9ERESkTCycCpaelY64lDgAQEOnhjKnUYaMDKB/f2DbNulSlUuWAMOGyZ2KiIiIisPCqWD5J3yvZl0N1WyqyZxGfpcvAy+9BMTEANbWwPr10kndiYiISNm4D6eC2VnZAQDuZ99HnsiTOY28duwAWrWSymb16sCff7JsEhERGQoWTgWr5VgLFmYWeJDzANfTrssdRxZ5ecDHH0vXQr97F3jmGeDYMcDfX+5kREREVFosnApmYWYBb0dvAMC52+dkTlPx7t0D+vYFpk6VLlf51lvAvn2Ah4fcyYiIiKgsWDgVrn61+gBMr3CePAm0bg1s3Qqo1cDSpcCiRdJjIiIiMiw8aEjh6lWtB+DhAUSmIC8P6NgRuHkT8PICNm6U9t8kIiIiw8Q1nAqXf7CQpZmlzEkqjpkZ4OgoPR47lmWTiIjI0LFwKtyNjBsAABc7F5mTVKxx46T7BQuky1YSERGR4TLIwjlr1iwEBATAxsYGjvmrwh6jUqkK3BYtWqQzz4kTJxAYGAhra2vUqFEDYWFhEEJUwCcovaT0JACAi61pFc5hw4Bq1aRzb27eLHcaIiIiehoGWTizsrLQr18/vPPOO8XOt2zZMiQmJmpvwx65JE1qaiq6dOkCd3d3REVFYcGCBZg3bx7mz5+v7/hlYqprOG1sgFGjpMfz5klHqRMREZFhMsiDhmbMmAEAWL58ebHzOTo6wtXVtdBpq1atQmZmJpYvXw61Wg1fX1+cO3cO8+fPR2hoKFQqVXnHfiLJGckAACcbJ5mTVLzRo4HwcODwYeDsWaAhr+5JRERkkAxyDWdphYSEwMnJCa1bt8aiRYuQl/fwaj2RkZEIDAyE+pHz7HTr1g3Xr1/HlStXZEhbuBqVawAwvdMiAdJR6jk50jXTHRzkTkNERERPymgL58cff4z169dj165dGDhwIMaPH49PPvlEOz0pKQkuLrqbqfOfJyUlFfqeGo0Gqamp2ltaWpr+PsB/OtTqAADYe2Wv3n+X0ixcKN337Qu4uckahYiIiJ6CYgrn9OnTCz3Q59HbkSNHSv1+U6ZMgb+/P5o3b47x48cjLCwMc+fO1Znn8c3m+QcMFbU5PTw8HA4ODtqbj49PGT9l2Zlq4UxNBVaulB6PHi1vFiIiIno6itmHMyQkBAMHDix2nlq1aj3x+7dt2xapqam4ceMGXFxc4OrqWmBNZnKytL/k42s+802cOBGhoaHa59euXdN76XzO6zkAwKmbp5CckQxnW2e9/j6l+PFHID0d8PEBOnSQOw0RERE9DcUUTicnJzg56e/AmOjoaFSqVEl7GiV/f39MmjQJWVlZsLKyAgDs3LkT7u7uRRZbtVqts89namqq3vLmc7JxQp0qdXDx7kUcTjiMXg166f13yuXaNWDLFuCXX4A9e6TXRo0CFHL8FhERET0hxRTOsoiLi8OdO3cQFxeH3NxcxMTEAADq1q0LOzs7bN26FUlJSfD394e1tTX27NmDyZMn480339QWxsGDB2PGjBkIDg7GpEmTcP78eXzyySeYOnWqYo5QB4D9V/fj4t2LMFOZoV61enLHKVdCAKdPSwXzl1+AqCjd6YGB0vk4iYiIyLAZZOGcOnUqVqxYoX3eokULAMCePXvQoUMHWFpaYuHChQgNDUVeXh5q166NsLAwjH5kZ0AHBwdERERg9OjR8PPzQ5UqVRAaGqqzyVxuuXm5GLN9DABgZMuRaOhk+OcFys0FDh16WDIvPHKJeJUKaNtWOkioTx+gQQOZQhIREVG5UgmlXVrHgCQkJMDT0xPx8fHw8PAo9/f/7sh3ePv3t+FYyRHn3z1vsOfifPAA2LUL+PVXaZP5zZsPp1lZAZ07SyWzVy+giNOmEhERyUrff/ONnUGu4TQFdx/cxeTdkwEAYR3CDK5spqRIBfPXX4EdO4D79x9Oc3QEXnhBKpndugGVK8uVkoiIiCoCC6dCfXn4S9x+cBsNnRrindbFX8JTaa5fB9q0kQ4CyufhIRXMvn2B554DLC3lSkdEREQVjYVTodzspDOd38y4iTRNGqpYV5E5UelkZQGvvCKVTU9PIDhYKpktWvBocyIiIlOlmBO/k67hLYejcfXGuP3gNqbtnSZ3nFIbPx6IjJQuRbl7NxAWBrRsybJJRERkylg4FcrCzAJfdP8CALAwaiFO3zwtb6BSWL8e+Ppr6fFPPwF168qbh4iIiJSBhVPBOtfujB51eyBX5GJD7Aa545Qov2x++CHQs6e8WYiIiEg5WDgVrludbgCAqOtRJcwpr/R0aVM6AIwcKW8WIiIiUhYWToVrU6MNAOCfa/9AyadM3bcPyM4GvL2BOnXkTkNERERKwsKpcM1dm8PCzAI3Mm4gPjVe7jhFioiQ7rt04QFCREREpIuFU+GsLa3RxLkJACDqmnI3qz9aOImIiIgexcJpAKzMrQAA9zLvyRukCH//DcTGSidz79hR7jRERESkNCycCheXEofD1w5DBRV61Oshd5xCffqpdP/aa0DVqvJmISIiIuVh4VS49afWAwDae7WHe2V3mdMUdPIksHWrtN/mBx/InYaIiIiUiIVT4dadWgcAGNB4gMxJCjdnjnT/0ktAgwbyZiEiIiJlYuFUsMt3LyPqehTMVGZ4udHLcscp4OpVYPVq6fH//idvFiIiIlIuFk4Fu5Z2DQCgggrnbp+TOU1BK1cCublAhw5A69ZypyEiIiKlYuFUsHae7TC4yWDkilz039AfiWmJckfSsV7avRRDh8qbg4iIiJSNhVPBVCoVvu/5PXydfZGUnoQBGwYgOzdb7lgAgLNngX//BSwsgL595U5DRERESsbCqXC2VrbY2H8j7NX2+CvuL0zYNUHuSAAert3s3JmnQiIiIqLisXAagPrV6mN5n+UAgPmH5uPXM7/KGwgPC2e/fvLmICIiIuVj4TQQfRr2QUOnhgCA3Zd3y5olM1PanA4AL7wgaxQiIiIyACycBmLRkUU4c+sMbC1tEeofKmuW+/cfPubmdCIiIioJC6cBiEuJw/92SSe6nN15NrwcvWTNk184LS2lGxEREVFxWDgVTgiBt397G+lZ6QjwDMCo1qPkjqQtnDY28uYgIiIiw8DCqXDrTq3D9gvbYWVuhcW9FsNMJf9/MhZOIiIiKgv52wsV61DCIQCAlbkVrqddlzmNJDNTuler5c1BREREhoGFU+E+eu4jPFvzWaRnpaP7qu5YcmyJ3JEghHRvxqWHiIiISoGVQeGq2VTDrqG7MLjJYOTk5WDE1hGYuGsi8kSebJnyC6dKJVsEIiIiMiAsnAZAbaHGTy/+hKnPTQUAzP57NgZuGIgH2Q9kycPCSURERGXBwmkgVCoVZgTNwIq+K2BpZon1sevR6cdOyMnLqfAsLJxERERUFiycBua1Zq8hYmgEbC1tEZkQicj4yArPkH/uzfyDh4iIiIiKY5CFc9asWQgICICNjQ0cHR0LTF++fDlUKlWht+TkZADAlStXCp2+Y8eOCv40ZRdYKxDeVbwBAFm5WRX++2vWlO6vXwdyKn4FKxERERkYC7kDPImsrCz069cP/v7+WLKk4FHbAwYMQPfu3XVeCw4ORmZmJpydnXVe37VrFxo3bqx9XpXXaiyRi4t0SiSNBkhIAGrVkjsRERERKZlBFs4ZM2YAkNZkFsba2hrW1tba5zdv3sTu3bsLLafVqlWDq6urXnIaKzMzaS3n+fPAlSssnERERFQ8g9ykXlY//vgjbGxs8MorrxSY1rt3bzg7O6Ndu3bYsGFDse+j0WiQmpqqvaWlpekrcvE5cjS4n31flt+dL79kXrkiZwoiIiIyBCZROJcuXYrBgwfrrPW0s7PD/PnzsWHDBmzbtg2dOnXCgAED8NNPPxX5PuHh4XBwcNDefHx8KiK+lhACv575FY0XNsalu5cAAI6VHCs0Qz5vaRdSXLggy68nIiIiA6KYwjl9+vQiD/TJvx05cqTM7xsZGYnY2FgMHz5c53UnJyeMGzcObdq0gZ+fH8LCwjBq1CjMmTOnyPeaOHEiUlJStLfY2Ngy53lS/974F51XdkbfdX1x8e5FuNq5YkXfFWjl3qrCMjyqQQPp/uxZWX49ERERGRDF7MMZEhKCgQMHFjtPrSfYWXDx4sVo3rw5WrUquZi1bdsWixcvLnK6Wq2G+pELiKemppY5T1mlZKbgf7v+hx+O/YA8kQe1uRrj/cdjwrMTUFldWe+/vyiNGkn3Z87IFoGIiIgMhGIKp5OTE5ycnMr1PdPT0/Hzzz8jPDy8VPNHR0fDzc2tXDM8rdA/QrE0ZikAoJ9PP3za+VPtKZHk1LChdH/unHRqJAvFLElERESkNAZZE+Li4nDnzh3ExcUhNzcXMTExAIC6devCzs5OO9+6deuQk5ODIUOGFHiPFStWwNLSEi1atICZmRm2bt2Kr776Cp9++mlFfYwSCSHw2/nfAABrX16LAb4DZE70kJcXYGMD3L8PXLz4cBM7ERER0eMMsnBOnToVK1as0D5v0aIFAGDPnj3o0KGD9vUlS5bgpZdeQpUqVQp9n5kzZ+Lq1aswNzdH/fr1sXTpUrz66qt6zV4Wp2+dRnJGMqwtrNG3YV+54+gwMwMaNwaiooBTp1g4iYiIqGgGWTiXL19e5Dk4H3Xw4MEipw0bNgzDhg0rx1Tlb++VvQCAAM8AqC3Uxc8sg/zCefIk8NJLcqchIiIipVLMUepUUH7hDKoVJG+QIvj6SvcnT8qbg4iIiJSNhVPBDsZLa2if83pO5iSFy7+m+vnz8uYgIiIiZWPhVDCVSgUAsLa0LmFOeaxbJ923bi1vDiIiIlI2Fk4Fq2pdFQBw58EdmZMUdPkysHmz9HjsWHmzEBERkbKxcCqYkgvnggVAXh7Qtat08BARERFRUVg4FSy/cN6+f1vmJLpSU4H8CzK9956sUYiIiMgAsHAqWDXragCAC3cuyJxE16ZNQFqadLWhbt3kTkNERERKx8KpYM/Xex4AsDh6MW5m3JQ5zUMJCdL9s89KJ4AnIiIiKg7rgoL1adAHLd1aIj0rHXP+niN3HK3UVOne3l7eHERERGQYWDgVTKVS4eOgjwEAX0d9jcS0RJkTSfILp4ODvDmIiIjIMLBwKlyPuj3g7+GPzJxMhB8IlzsOACAlRbrnGk4iIiIqDRZOhVOpVAhpEwIA+O7od8jKzZI5EXD/vnR/65a8OYiIiMgwsHAqXHpWOmb9NQsA0M6zHSzNLGVOBPTpI93PmQMcOSJvFiIiIlI+Fk4FE0JgxJYRiL0ZCzc7N6x+ebX2cpdyev114OWXgexsYMCAh5vYiYiIiArDwqlgXx7+EutOrYOFmQU29N8AVztXuSMBAFQq6cTvtWoBly4Bb74JCCF3KiIiIlIqFk6F+uvqX3h/5/sAgM+7fY4AzwCZE+lydATWrgUsLICffwZ++EHuRERERKRULJwKFbI9BLkiF/18+mF069FyxynUM88A4f8dOP/++0BOjrx5iIiISJlYOBWqqUtTAMClu5eQJ/JkTlO0l1+W7rOypE3tRERERI9j4VSouV3mwkHtgKOJR/FN1DdyxynS2bPSfd26gLm5vFmIiIhImVg4FcrVzhWfdv4UADB592QkpCbInKhw585J9w0ayJuDiIiIlIuFU8FGthqJZ2o8g/SsdHh+7ol/rv0jd6QC8tdwXrsG7N4NJCrj6ptERESkICycCmamMsPha4e1z59Z/AxupN+QMVFBV69K94cPA506ARER8uYhIiIi5WHhVLiFzy/UeV7dtrpMSQoXHAw0bw74+ko3R0eZAxEREZHiqITgKbufVEJCAjw9PREfHw8PDw+54xAREZGe8G/+0+EaTiIiIiLSKxZOIiIiItIrFk4iIiIi0isWTiIiIiLSKxZOIiIiItIrFk4iIiIi0isWTiIiIiLSK4MrnFeuXMHw4cPh7e0Na2tr1KlTB9OmTUNWVpbOfHFxcejVqxdsbW3h5OSEMWPGFJjnxIkTCAwMhLW1NWrUqIGwsDDwtKRERERE5ctC7gBldebMGeTl5eG7775D3bp1cfLkSYwcORIZGRmYN28eACA3NxcvvPACqlevjgMHDuD27dsYNmwYhBBYsGABACA1NRVdunRBUFAQoqKicO7cOQQHB8PW1hbjx4+X8yMSERERGRWjuNLQ3Llz8e233+LSpUsAgO3bt6Nnz56Ij4+Hu7s7AGDt2rUIDg5GcnIy7O3t8e2332LixIm4ceMG1Go1AGD27NlYsGABEhISoFKpSvy9vOoAERGRaeDf/KdjcGs4C5OSkoKqVatqn0dGRsLX11dbNgGgW7du0Gg0OHr0KIKCghAZGYnAwEBt2cyfZ+LEibhy5Qq8vb0L/B6NRgONRqPzewEgMTFRHx+LiIiIFCL/b31eXp7MSQyTwRfOixcvYsGCBfjss8+0ryUlJcHFxUVnvipVqsDKygpJSUnaeWrVqqUzT/7PJCUlFVo4w8PDMWPGjAKvt2nT5mk/BhERERmA+Ph41KxZU+4YBkcxhXP69OmFlrlHRUVFwc/PT/v8+vXr6N69O/r164cRI0bozFvYJnEhhM7rj8+Tv3dBUZvTJ06ciNDQUO3zO3fuwNvbGydPnoSDg0Ox2U1VWloafHx8EBsbi8qVK8sdR3E4PiXjGJWMY1Q8jk/JOEYlS0lJga+vLxo1aiR3FIOkmMIZEhKCgQMHFjvPo2skr1+/jqCgIPj7++P777/Xmc/V1RWHDx/Wee3u3bvIzs7WrsV0dXXVru3Ml5ycDAAF1o7mU6vVOpvg83l6esLe3r7Y7KYqNTUVAFCjRg2OUSE4PiXjGJWMY1Q8jk/JOEYlyx8XCwvFVCeDophRc3JygpOTU6nmvXbtGoKCgtCqVSssW7YMZma6Z3fy9/fHrFmzkJiYCDc3NwDAzp07oVar0apVK+08kyZNQlZWFqysrLTzuLu7F9jUTkRERERPzuDOw3n9+nV06NABnp6emDdvHm7evImkpCSdtZVdu3aFj48Phg4diujoaPz55594//33MXLkSO2/UAYPHgy1Wo3g4GCcPHkSmzdvxieffILQ0NBSHaFORERERKWjmDWcpbVz505cuHABFy5cKHBagvx9MM3NzfH7779j1KhRaNeuHaytrTF48GDteToBwMHBARERERg9ejT8/PxQpUoVhIaG6uyjWRK1Wo1p06YVupmdJByj4nF8SsYxKhnHqHgcn5JxjErGMXo6RnEeTiIiIiJSLoPbpE5EREREhoWFk4iIiIj0ioWTiIiIiPSKhZOIiIiI9IqFswTTp0+HSqXSubm6umqnCyEwffp0uLu7w9raGh06dMCpU6dkTKx/+/fvR69eveDu7g6VSoVffvlFZ3ppxkSj0eDdd9+Fk5MTbG1t0bt3byQkJFTgp9CvksYoODi4wHLVtm1bnXmMeYzCw8PRunVrVK5cGc7Ozujbty/Onj2rM48pL0elGR9TX4a+/fZbNG3aFPb29rC3t4e/vz+2b9+unW7Ky0++ksbI1Jehx4WHh0OlUuG9997TvsblqPywcJZC48aNkZiYqL2dOHFCO23OnDmYP38+vv76a0RFRcHV1RVdunRBWlqajIn1KyMjA82aNcPXX39d6PTSjMl7772HzZs3Y+3atThw4ADS09PRs2dP5ObmVtTH0KuSxggAunfvrrNcbdu2TWe6MY/Rvn37MHr0aBw6dAgRERHIyclB165dkZGRoZ3HlJej0owPYNrLkIeHB2bPno0jR47gyJEj6NixI/r06aMtA6a8/OQraYwA016GHhUVFYXvv/8eTZs21Xmdy1E5ElSsadOmiWbNmhU6LS8vT7i6uorZs2drX8vMzBQODg5i0aJFFZRQXgDE5s2btc9LMyb37t0TlpaWYu3atdp5rl27JszMzMSOHTsqLHtFeXyMhBBi2LBhok+fPkX+jKmNUXJysgAg9u3bJ4TgcvS4x8dHCC5DhalSpYpYvHgxl59i5I+REFyG8qWlpYl69eqJiIgIERgYKMaOHSuE4PdQeeMazlI4f/483N3d4e3tjYEDB+LSpUsAgMuXLyMpKQldu3bVzqtWqxEYGIiDBw/KFVdWpRmTo0ePIjs7W2ced3d3+Pr6mtS47d27F87Ozqhfvz5GjhyJ5ORk7TRTG6OUlBQAQNWqVQFwOXrc4+OTj8uQJDc3F2vXrkVGRgb8/f25/BTi8THKx2UIGD16NF544QV07txZ53UuR+XL4K40VNGeeeYZ/Pjjj6hfvz5u3LiBmTNnIiAgAKdOndJeTtPFxUXnZ1xcXHD16lU54squNGOSlJQEKysrVKlSpcA8j16i1Jj16NED/fr1g5eXFy5fvoyPPvoIHTt2xNGjR6FWq01qjIQQCA0NxbPPPgtfX18AXI4eVdj4AFyGAODEiRPw9/dHZmYm7OzssHnzZvj4+Gj/0HP5KXqMAC5DALB27VocO3YMUVFRBabxe6h8sXCWoEePHtrHTZo0gb+/P+rUqYMVK1Zod65+/NrrQgiTvx77k4yJKY3bgAEDtI99fX3h5+cHLy8v/P7773jppZeK/DljHKOQkBD8+++/OHDgQIFpXI6KHh8uQ0CDBg0QExODe/fuYePGjRg2bBj27dunnc7lp+gx8vHxMfllKD4+HmPHjsXOnTtRqVKlIufjclQ+uEm9jGxtbdGkSROcP39ee7T64/+KSU5OLvAvIlNRmjFxdXVFVlYW7t69W+Q8psbNzQ1eXl44f/48ANMZo3fffRdbtmzBnj174OHhoX2dy5GkqPEpjCkuQ1ZWVqhbty78/PwQHh6OZs2a4csvv+Ty84iixqgwprYMHT16FMnJyWjVqhUsLCxgYWGBffv24auvvoKFhYX2M3I5Kh8snGWk0Whw+vRpuLm5wdvbG66uroiIiNBOz8rKwr59+xAQECBjSvmUZkxatWoFS0tLnXkSExNx8uRJkx2327dvIz4+Hm5ubgCMf4yEEAgJCcGmTZuwe/dueHt760w39eWopPEpjKktQ4URQkCj0Zj88lOc/DEqjKktQ506dcKJEycQExOjvfn5+WHIkCGIiYlB7dq1uRyVp4o+SsnQjB8/Xuzdu1dcunRJHDp0SPTs2VNUrlxZXLlyRQghxOzZs4WDg4PYtGmTOHHihBg0aJBwc3MTqampMifXn7S0NBEdHS2io6MFADF//nwRHR0trl69KoQo3Zi8/fbbwsPDQ+zatUscO3ZMdOzYUTRr1kzk5OTI9bHKVXFjlJaWJsaPHy8OHjwoLl++LPbs2SP8/f1FjRo1TGaM3nnnHeHg4CD27t0rEhMTtbf79+9r5zHl5aik8eEyJMTEiRPF/v37xeXLl8W///4rJk2aJMzMzMTOnTuFEKa9/OQrboy4DBXu0aPUheByVJ5YOEswYMAA4ebmJiwtLYW7u7t46aWXxKlTp7TT8/LyxLRp04Srq6tQq9XiueeeEydOnJAxsf7t2bNHAChwGzZsmBCidGPy4MEDERISIqpWrSqsra1Fz549RVxcnAyfRj+KG6P79++Lrl27iurVqwtLS0tRs2ZNMWzYsAKf35jHqLCxASCWLVumnceUl6OSxofLkBBvvPGG8PLyElZWVqJ69eqiU6dO2rIphGkvP/mKGyMuQ4V7vHByOSo/KiGEqLj1qURERERkargPJxERERHpFQsnEREREekVCycRERER6RULJxERERHpFQsnEREREekVCycRERER6RULJxERERHpFQsnEREREekVCycRERER6RULJxERERHpFQsnEREREekVCycRERER6RULJxERERHpFQsnEREREekVCycRERER6RULJxERERHpFQsnEREREekVCycRERER6RULZwkWLlwIb29vVKpUCa1atcJff/1V7Pz79u1Dq1atUKlSJdSuXRuLFi2qoKQVoyzjsWnTJnTp0gXVq1eHvb09/P398ccff1RgWv0q67KR7++//4aFhQWaN2+u34AVrKzjodFoMHnyZHh5eUGtVqNOnTpYunRpBaXVv7KOx6pVq9CsWTPY2NjAzc0Nr7/+Om7fvl1BafVr//796NWrF9zd3aFSqfDLL7+U+DPG+l1a1rEw9u/RJ1k28hnrd6mxYuEsxrp16/Dee+9h8uTJiI6ORvv27dGjRw/ExcUVOv/ly5fx/PPPo3379oiOjsakSZMwZswYbNy4sYKT60dZx2P//v3o0qULtm3bhqNHjyIoKAi9evVCdHR0BScvf2Udi3wpKSl47bXX0KlTpwpKWjGeZDz69++PP//8E0uWLMHZs2exZs0aNGzYsAJT609Zx+PAgQN47bXXMHz4cJw6dQrr169HVFQURowYUcHJ9SMjIwPNmjXD119/Xar5jfm7tKxjYczfo0DZxyOfsX6XGjVBRWrTpo14++23dV5r2LChmDBhQqHzf/jhh6Jhw4Y6r7311luibdu2estYkco6HoXx8fERM2bMKO9oFe5Jx2LAgAFiypQpYtq0aaJZs2Z6TFixyjoe27dvFw4ODuL27dsVEa/ClXU85s6dK2rXrq3z2ldffSU8PDz0llEuAMTmzZuLncfYv0vzlWYsCmMs36OPK8t4GOt3qTHjGs4iZGVl4ejRo+jatavO6127dsXBgwcL/ZnIyMgC83fr1g1HjhxBdna23rJWhCcZj8fl5eUhLS0NVatW1UfECvOkY7Fs2TJcvHgR06ZN03fECvUk47Flyxb4+flhzpw5qFGjBurXr4/3338fDx48qIjIevUk4xEQEICEhARs27YNQgjcuHEDGzZswAsvvFARkRXHmL9Ln5axfI8+DWP9LjV2FnIHUKpbt24hNzcXLi4uOq+7uLggKSmp0J9JSkoqdP6cnBzcunULbm5uesurb08yHo/77LPPkJGRgf79++sjYoV5krE4f/48JkyYgL/++gsWFsb1v92TjMelS5dw4MABVKpUCZs3b8atW7cwatQo3Llzx+D343yS8QgICMCqVaswYMAAZGZmIicnB71798aCBQsqIrLiGPN36dMylu/RJ2XM36XGjms4S6BSqXSeCyEKvFbS/IW9bqjKOh751qxZg+nTp2PdunVwdnbWV7wKVdqxyM3NxeDBgzFjxgzUr1+/ouJVuLIsG3l5eVCpVFi1ahXatGmD559/HvPnz8fy5cuNYi0nULbxiI2NxZgxYzB16lQcPXoUO3bswOXLl/H2229XRFRFMvbv0idhjN+jZWEq36XGiv88KIKTkxPMzc0LrJFITk4u8C/vfK6uroXOb2FhgWrVqukta0V4kvHIt27dOgwfPhzr169H586d9RmzQpR1LNLS0nDkyBFER0cjJCQEgFS4hBCwsLDAzp070bFjxwrJrg9Psmy4ubmhRo0acHBw0L7WqFEjCCGQkJCAevXq6TWzPj3JeISHh6Ndu3b44IMPAABNmzaFra0t2rdvj5kzZ5rcGj1j/i59Usb2PfokjP271NhxDWcRrKys0KpVK0REROi8HhERgYCAgEJ/xt/fv8D8O3fuhJ+fHywtLfWWtSI8yXgA0r/Ig4ODsXr1aqPZH62sY2Fvb48TJ04gJiZGe3v77bfRoEEDxMTE4Jlnnqmo6HrxJMtGu3btcP36daSnp2tfO3fuHMzMzODh4aHXvPr2JONx//59mJnpfh2bm5sDeLhmz5QY83fpkzDG79EnYezfpUZPnmOVDMPatWuFpaWlWLJkiYiNjRXvvfeesLW1FVeuXBFCCDFhwgQxdOhQ7fyXLl0SNjY2Yty4cSI2NlYsWbJEWFpaig0bNsj1EcpVWcdj9erVwsLCQnzzzTciMTFRe7t3755cH6HclHUsHmdsR1aWdTzS0tKEh4eHeOWVV8SpU6fEvn37RL169cSIESPk+gjlqqzjsWzZMmFhYSEWLlwoLl68KA4cOCD8/PxEmzZt5PoI5SotLU1ER0eL6OhoAUDMnz9fREdHi6tXrwohTOu7tKxjYczfo0KUfTweZ2zfpcaMhbME33zzjfDy8hJWVlaiZcuWYt++fdppw4YNE4GBgTrz7927V7Ro0UJYWVmJWrVqiW+//baCE+tXWcYjMDBQAChwGzZsWMUH14OyLhuPMsYvybKOx+nTp0Xnzp2FtbW18PDwEKGhoeL+/fsVnFp/yjoeX331lfDx8RHW1tbCzc1NDBkyRCQkJFRwav3Ys2dPsd8FpvRdWtaxMPbv0SdZNh5ljN+lxkolhAluryEiIiKiCsN9OImIiIhIr1g4iYiIiEivWDiJiIiISK9YOImIiIhIr1g4iYiIiEivWDiJiIiISK9YOImIiIhIr0y+cC5cuBDe3t6oVKkSWrVqhb/++qvUP6vRaDB9+nRoNBo9JjQcHA9dHA9dHI+HOBa6OB66OB66OB7GwaRP/L5u3ToMHToUCxcuRLt27fDdd99h8eLFiI2NRc2aNUv8+dTUVDg4OCAlJQX29vYVkFjZOB66OB66OB4PcSx0cTx0cTx0cTyMg0mv4Zw/fz6GDx+OESNGoFGjRvjiiy/g6emJb7/9Vu5oREREREbDZAtnVlYWjh49iq5du+q83rVrVxw8eFCmVERERETGx0LuAHK5desWcnNz4eLiovO6i4sLkpKSCv0ZjUajsw/JnTt3AADx8fFwcHDQX1gDkZaWBgC4du0aUlNTZU4jP46HLo7HQxwLXRwPXRwPXUoZj7y8PNy4cQMtWrSAhYXJ1qcnZvIjplKpdJ4LIQq8li88PBwzZswo8Lqvr69eshkqHx8fuSMoCsdDF8fjIY6FLo6HLo6HLqWMxz///IPWrVvLHcPgmGzhdHJygrm5eYG1mcnJyQXWeuabOHEiQkNDtc/j4+Ph6+uLf/75B25ubnrNS0RERPJJTExEmzZtiuwIVDyTLZxWVlZo1aoVIiIi8OKLL2pfj4iIQJ8+fQr9GbVaDbVarX2evxndzc0NHh4e+g1MREREsjMzM9nDX56KyRZOAAgNDcXQoUPh5+cHf39/fP/994iLi8Pbb78tdzQiIiIio2HShXPAgAG4ffs2wsLCkJiYCF9fX2zbtg1eXl5yRyMiIiIyGiZdOAFg1KhRGDVqlNwxiIiIiIwWd0Qgo5WcnIy33noLNWvWhFqthqurK7p164bIyEjtPCqVCr/88ku5/L4rV65ApVIhJiam2Pn27t0LlUqFe/fuFZjWvHlzTJ8+XTtPcbfly5cDADZu3IgOHTrAwcEBdnZ2aNq0KcLCwrSn7SqNTZs2oUuXLqhevTrs7e3h7++PP/74o8B8GzduhI+PD9RqNXx8fLB582ad6eHh4WjdujUqV64MZ2dn9O3bF2fPntVOz87Oxv/+9z80adIEtra2cHd3x2uvvYbr16+XmPHu3bsYOnQoHBwc4ODggKFDhxYYw7Fjx6JVq1ZQq9Vo3rx5qT//vn370KpVK1SqVAm1a9fGokWLdKb/8MMPaN++PapUqYIqVaqgc+fO+Oeff0p83xMnTiAwMBDW1taoUaMGwsLC8OjF3Uo77o976623UKdOHVhbW6N69ero06cPzpw5o51e3PITFRVV7HuX9N8YeLpLAhORaWLhJKP18ssv4/jx41ixYgXOnTuHLVu2oEOHDmUqYqWVlZVVru8XEBCAxMRE7a1///7o3r27zmsDBgzA5MmTMWDAALRu3Rrbt2/HyZMn8dlnn+H48eNYuXJlqX/f/v370aVLF2zbtg1Hjx5FUFAQevXqhejoaO08kZGRGDBgAIYOHYrjx49j6NCh6N+/Pw4fPqydZ9++fRg9ejQOHTqEiIgI5OTkoGvXrsjIyAAA3L9/H8eOHcNHH32EY8eOYdOmTTh37hx69+5dYsbBgwcjJiYGO3bswI4dOxATE4OhQ4fqzCOEwBtvvIEBAwaU+rNfvnwZzz//PNq3b4/o6GhMmjQJY8aMwcaNG7Xz7N27F4MGDcKePXsQGRmJmjVromvXrrh27VqR75uamoouXbrA3d0dUVFRWLBgAebNm4f58+dr5ynNuBemVatWWLZsGU6fPo0//vgDQgh07doVubm5AAouP4mJiRgxYgRq1aoFPz+/It+3NP+N161bh/feew+TJ09GdHQ02rdvjx49eiAuLq7EsSYiEyboicXHxwsAIj4+Xu4o9Ji7d+8KAGLv3r1FzuPl5SUAaG9eXl5CCCEuXLggevfuLZydnYWtra3w8/MTERERBX72448/FsOGDRP29vbitdde03kvACIwMLDQ37tnzx4BQNy9e7fAtGbNmolp06YVeH3YsGGiT58+Oq8dPnxYABBffPFFkWPwNHx8fMSMGTO0z/v37y+6d++uM0+3bt3EwIEDi3yP5ORkAUDs27evyHn++ecfAUBcvXq1yHliY2MFAHHo0CHta5GRkQKAOHPmTIH5p02bJpo1a1bk+z3qww8/FA0bNtR57a233hJt27Yt8mdycnJE5cqVxYoVK4qcZ+HChcLBwUFkZmZqXwsPDxfu7u4iLy+vyJ97fNxL4/jx4wKAuHDhQqHTs7KyhLOzswgLCyv2fUrz37hNmzbi7bff1pmnYcOGYsKECWXKTGRo+Df/6XANJxklOzs72NnZ4ZdfftG5OtSj8jctLlu2DImJidrn6enpeP7557Fr1y5ER0ejW7du6NWrV4E1OHPnzoWvry+OHj2Kjz76SLuJddeuXUhMTMSmTZv0+AmBVatWwc7Orsh9kB0dHQE83NS/d+/eUr93Xl4e0tLSULVqVe1rkZGRBS4F261bt2IvBZuSkgIAOu9T2DwqlUqbtzCRkZFwcHDAM888o32tbdu2cHBweOpL0Rb1uY4cOYLs7OxCf+b+/fvIzs4u9nNFRkYiMDBQ51Rq3bp1w/Xr13HlypVCf6awcc/fPF7Uz2RkZGDZsmXw9vaGp6dnofNs2bIFt27dQnBwsM7rtWrVwvTp03UyF/ffmJcEJqInxcJJRsnCwgLLly/HihUr4OjoiHbt2mHSpEn4999/tfNUr14dgFTMXF1dtc+bNWuGt956C02aNEG9evUwc+ZM1K5dG1u2bNH5HR07dsT777+PunXrom7dutqfr1atGlxdXYstI+Xh/PnzqF27NiwtLYudz9LSEg0aNICNjU2p3/uzzz5DRkYG+vfvr30tKSmpTJeCFUIgNDQUzz77bJFX48rMzMSECRMwePBg2NvbF5knKSkJzs7OBV53dnYu8veXVlGfKycnB7du3Sr0ZyZMmIAaNWqgc+fOZX7f/GmFKWzcbWxs0KBBgwL/nRcuXKj9h9WOHTsQEREBKyurQt93yZIl6NatW4FCWqdOHTg5OZWYOT/vk1wSmIgIYOEkI/byyy/j+vXr2LJlC7p164a9e/eiZcuW2oNtipKRkYEPP/wQPj4+cHR0hJ2dHc6cOVNgDWdx+8JVBFHMZVgfVaNGDZw5cwZt2rQp1fuuWbMG06dPx7p16wqUvLJcCjYkJAT//vsv1qxZU+j07OxsDBw4EHl5eVi4cKH29bfffltbpOzs7Ir83SX9/sI8+r6Pnm+3sM9V1O+cM2cO1qxZg02bNqFSpUrF/r6yvG9R496mTRucOXMGNWrU0Jl/yJAhiI6Oxr59+1CvXj30798fmZmZBd43ISEBf/zxB4YPH15g2p9//omQkJASMz/+WlmWAyIigKdFIiNXqVIldOnSBV26dMHUqVMxYsQITJs2rcCmxUd98MEH+OOPPzBv3jzUrVsX1tbWeOWVVwocGGRra/tEmfLX5KWkpBTYjHzv3j3tFaxKUr9+fRw4cADZ2dklruUsrXXr1mH48OFYv359gbV3rq6upb4U7LvvvostW7Zg//79hV6FKzs7G/3798fly5exe/dunbWbYWFheP/99wv87hs3bhR4n5s3b5bpMnOPnkEg/3cW9bksLCxQrVo1ndfnzZuHTz75BLt27ULTpk2L/V1FvS+AApmLG/ei5B+tX69ePbRt2xZVqlTB5s2bMWjQIJ35li1bhmrVqpXqwKyS/hs/ySWBiYgAruEkE+Pj46M9YhqQNjfnH9mb76+//kJwcDBefPFFNGnSBK6urkXuP/eo/M2Zj7/f4+rVqwczM7MCp6dJTEzEtWvX0KBBg1J9lsGDByM9PV1n7eCjCjvtUnHWrFmD4OBgrF69Gi+88EKB6f7+/oiIiNB5befOnQgICNA+F0IgJCQEmzZtwu7du+Ht7V3gffLL5vnz57Fr164Cpc7Z2Vm7m0LdunW1vzslJUXnVESHDx9GSkqKzu8vyaPvm78WsajP5efnp1Pk586di48//hg7duwo1dptf39/7N+/X+cfKjt37oS7uztq1aqlfa2kcS8tIUSB/ZWFEFi2bBlee+21Uv2jpKT/xo9eEvhRERERZfrvQEQmSKaDlYwCj1hTrlu3bomgoCCxcuVKcfz4cXHp0iXx888/CxcXF/HGG29o56tXr5545513RGJiorhz544QQoi+ffuK5s2bi+joaBETEyN69eolKleuLMaOHav9OS8vL/H555/r/M7s7GxhbW0tZs6cKZKSksS9e/eKzPfOO++ImjVris2bN4tLly6JAwcOiMDAQNGkSRORnZ1dYP7CjlIXQjrC2tzcXHzwwQfi4MGD4sqVK2LXrl3ilVde0R69npCQIBo0aCAOHz5cZJ7Vq1cLCwsL8c0334jExETt7dHP8Pfffwtzc3Mxe/Zscfr0aTF79mxhYWGhc+T4O++8IxwcHMTevXt13uf+/fvaMerdu7fw8PAQMTExOvNoNJoi8wkhRPfu3UXTpk1FZGSkiIyMFE2aNBE9e/bUmef8+fMiOjpavPXWW6J+/foiOjpaREdHF/vely5dEjY2NmLcuHEiNjZWLFmyRFhaWooNGzZo5/n000+FlZWV2LBhg07mtLS0It/33r17wsXFRQwaNEicOHFCbNq0Sdjb24t58+aVadwPHz4sGjRoIBISEoQQQly8eFF88skn4siRI+Lq1avi4MGDok+fPqJq1arixo0bOhl27dolAIjY2NhCM3bs2FEsWLBA+7w0/43Xrl0rLC0txZIlS0RsbKx47733hK2trbhy5UqRY0FkDPg3/+mwcD4FLnzKlZmZKSZMmCBatmwpHBwchI2NjWjQoIGYMmWKtvwIIcSWLVtE3bp1hYWFhfa0SJcvXxZBQUHC2tpaeHp6iq+//loEBgaWWDiFEOKHH34Qnp6ewszMrMjTIuXnCwsLE40aNRLW1tbCy8tLBAcHi8TExELnL6pwCiHEunXrxHPPPScqV64sbG1tRdOmTUVYWJj2tEiXL18WAMSePXuKzBMYGFjgtE4AxLBhw3TmW79+vWjQoIGwtLQUDRs2FBs3btSZXth7ABDLli3TyVLYrbh8Qghx+/ZtMWTIEFG5cmVRuXJlMWTIkAKnfirqc1y+fLnY9967d69o0aKFsLKyErVq1RLffvutzvTHT6GVfyvsFFaP+vfff0X79u2FWq0Wrq6uYvr06TqnRCrNuOefRiv/M1y7dk306NFDODs7C0tLS+Hh4SEGDx5c6OmhBg0aJAICAorM5+XlVeAzlPTfWAghvvnmG+Hl5SWsrKxEy5Ytiz3tFZGx4N/8p6MS4pHLXlCZJCQkwNPTE/Hx8YXup0ZERETGgX/znw734SQiIiIivWLhJCIiIiK9YuEkIiIiIr1i4SQiIiIivWLhJCIiIiK9YuEkIiIiIr1i4SQiIiIivWLhJCIiIiK9YuEkIiIiIr1i4SQiIiIivWLhJCIiIiK9YuEkIiIiIr1i4SQiIiIivWLhJCIiIiK9YuEkIiIiIr1i4SQiIiIivWLhJCIiIiK9YuEkIiIiIr1i4SQiIiIivWLhJCIiIiK9MrrCeeXKFQwfPhze3t6wtrZGnTp1MG3aNGRlZenMp1KpCtwWLVokU2oiIiIi42Uhd4DydubMGeTl5eG7775D3bp1cfLkSYwcORIZGRmYN2+ezrzLli1D9+7dtc8dHBwqOi4RERGR0TO6wtm9e3edElm7dm2cPXsW3377bYHC6ejoCFdX14qOSERERGRSjG6TemFSUlJQtWrVAq+HhITAyckJrVu3xqJFi5CXl1fs+2g0GqSmpmpvaWlp+opMREREZDSMbg3n4y5evIgFCxbgs88+03n9448/RqdOnWBtbY0///wT48ePx61btzBlypQi3ys8PBwzZszQd2QiIiIio6ISQgi5Q5TG9OnTSyx7UVFR8PPz0z6/fv06AgMDERgYiMWLFxf7s5999hnCwsKQkpJS5DwajQYajUb7/Nq1a/Dx8UF8fDw8PDxK+UmIiIzDzZtAvXqAmRlw+zagUsmdiEh/EhIS4Onpyb/5T8hg1nCGhIRg4MCBxc5Tq1Yt7ePr168jKCgI/v7++P7770t8/7Zt2yI1NRU3btyAi4tLofOo1Wqo1Wrt89TU1NKFJyIyQrm5QEqKVDhZNomoOAZTOJ2cnODk5FSqea9du4agoCC0atUKy5Ytg5lZybuqRkdHo1KlSnB0dHzKpERkSoQQUJlo28rNle5L8RVLRCbOYApnaV2/fh0dOnRAzZo1MW/ePNy8eVM7Lf+I9K1btyIpKQn+/v6wtrbGnj17MHnyZLz55ps6azCJiIqTnZuN/hv6Y0DjARjoW/wWGGOUf5ylubm8OYhI+YyucO7cuRMXLlzAhQsXCuxjkb+7qqWlJRYuXIjQ0FDk5eWhdu3aCAsLw+jRo+WITEQGakn0Evxy5hf8cuYXJGckY8wzY+SOVKG4hpOISstgDhpSIu5ATGTacvNyMXbHWHwT9Q0AYOKzEzGr4yyT2cR+9izQsCHg6AjcvSt3GiL94t/8p8N/lxIRPSFzM3Ms6LEAM4NmAgDCD4RjxJYRyMzJlDlZxcg/aQf3RCKikrBwEhE9BZVKhcnPTcYPvX6AmcoMS2OWwmWeC4ZuHoqtZ7dCk6Mp+U0MFAsnEZUWCycRUTkY0XIEfhnwCzzsPZCqScVP//6E3mt7w3meM17b/JpRls+sLOneykreHESkfCycRETlpFeDXrj63lUceP0Axj4zFu6V3ZGqScXKf1dqy+ewX4bht3O/GUX5zM6W7i0t5c1BRMrHwklEVI7MVGZoV7Mdvuj+BeLHxePA6wcwps0Ybfn88fiP6LWmF1zmuRh8+WThJKLSYuEkItKT/PL5ZY8vET8uHn+9/hfGtBkDNzs3pGhSCpTPbee3wZBOHMLCSUSlxcJJRFQBzFRmeLbms/iyx5dICE3A6pdWw8vBCwC05fOF1S/gh2M/yJy09Fg4iai0jO7E70RESpOdm43jN47jYPxB7S0+Nb7AfB72HvB19pUh4ZPJ/O/sT5UqyZuDiJSPhZOIqJzdun8LkfGRUrlMOIioa1F4kPNAZx5zlTmauTZDgEcA/D39EeAZAC8HL4M6afz9+9K9tbW8OYhI+Vg4iYjKya375iMQLgAApvdJREFUt9BzdU8cvna4wLQqlapIxdIjAAGeAWhdozXsrOxkSFl+HvzXoW1s5M1BRMrHwklEVE7iU+K1ZbN+tfpoX7M9Ajylglm/Wn2YqYxrt3meh5OISouFk4ionDRzbQZPe0/Ep8ZjVsdZeMXnFbkj6VVurnRvbi5vDiJSPuP65zYRkYzMVGYY0mQIAGDlvytlTqN/eXnSvRn/khBRCfg1QURUjl5t+ioAYNv5bbh1/5bMafQrv3ByDScRlYSFk4ioHDV2bowWri2Qk5eD9afWyx1Hr7iGk4hKi18TRETlrJN3JwDAmVtnZE6iX/lncMovnkRERWHhJCIqZymaFABANZtqMifRr/wTvuefAJ6IqCgsnERE5ezm/ZsAgOo21WVOol8snERUWiycRETl7O6DuwAAx0qO8gbRM7VaumfhJKKSsHASEZUze7U9ACAtK03mJEREysDCSURUzpxsnADA6E+LJIR0b0CXfycimbBwEhGVMxZOIiJdLJxEROWMhZOISBcLJxFROfO09wQArDm5BlP3TIUmRyNzIiIiebFwEhGVs1d8XsGLDV9ETl4OPt7/MVp81wIH4w/KHavcWVhI97m58uYgIuVj4SQiKmeW5pbY2H8j1vdbD2dbZ5y+dRrPLn0WY7aPQXpWutzxyk1+4czOljcHESkfCycRkR6oVCq84vMKTo8+jaFNh0JAYME/C9B/fX+5o5UbS0vpnoWTiErCwklEpEfJGck4f+e89rmXg5eMacrX/fvSvY2NvDmISPks5A5ARGSMcvNyMT9yPj7a8xE0uRrYq+3xebfP8Xrz1+WOVm5u/XcQvpOTvDmISPlYOImIytmZW2fw+q+v41DCIQBAtzrd8EOvH+Dp4ClzsvJ1U7pkPAsnEZWIhZOIqJzk5uXi80OfY8ruKdq1mvO7zscbLd6AyghPVsk1nERUWka5D2etWrWgUql0bhMmTNCZJy4uDr169YKtrS2cnJwwZswYZGVlyZSYiIzB5N2T8UHEB9DkahBUKwgn3zmJ4S2HG2XZBFg4iaj0jHYNZ1hYGEaOHKl9bmdnp32cm5uLF154AdWrV8eBAwdw+/ZtDBs2DEIILFiwQI64RGQE3Cu7ax+fvnUaf8f/jQH2A1g4icjkGeUaTgCoXLkyXF1dtbdHC+fOnTsRGxuLn376CS1atEDnzp3x2Wef4YcffkBqaqqMqYnIkI15Zgz+fO1P1K9WH0npSRi0cRC6r+qOC3cuyB1NL27flu6rVZM3BxEpn9EWzk8//RTVqlVD8+bNMWvWLJ3N5ZGRkfD19YW7+8O1Ed26dYNGo8HRo0eLfE+NRoPU1FTtLS0tTa+fgYgMT0fvjvj37X8xo8MMqM3V2HlxJ3wX+mLNiTVyRyt3+YWTaziJqCRGWTjHjh2LtWvXYs+ePQgJCcEXX3yBUaNGaacnJSXBxcVF52eqVKkCKysrJCUlFfm+4eHhcHBw0N58fHz09hmIyHCpLdTo3aA3mro0BQBocjXYem6rzKnKV0rKw8Lp5iZvFiJSPoMpnNOnTy9wINDjtyNHjgAAxo0bh8DAQDRt2hQjRozAokWLsGTJEtzO/3YECt2nSghR7L5WEydOREpKivYWGxtb/h+UiAza5buX8eqmV9HiuxaIuh4FSzNLjGkzBl8//7Xc0crVf1+38PYGqlaVNwsRKZ/BHDQUEhKCgQMHFjtPrVq1Cn29bdu2AIALFy6gWrVqcHV1xeHDh3XmuXv3LrKzswus+XyUWq2GWq3WPuf+nkSU79b9W5i5fyYWRi1Edp50rcfBTQbj46CPUbtKbZnTlb/8r9A2beTNQUSGwWAKp5OTE5yecEeh6OhoAIDbf9t9/P39MWvWLCQmJmpf27lzJ9RqNVq1alU+gYnIJGRkZeCLQ1/g078/RVqWtF93l9pdMLvzbLR0aylzOv3JL5zPPCNvDiIyDAZTOEsrMjIShw4dQlBQEBwcHBAVFYVx48ahd+/eqFmzJgCga9eu8PHxwdChQzF37lzcuXMH77//PkaOHAl7e3uZPwERGYoj14+g15peSEqX9v1u6dYSszvNRpc6XWROpl9CAP/8Iz1m4SSi0jC6wqlWq7Fu3TrMmDEDGo0GXl5eGDlyJD788EPtPObm5vj9998xatQotGvXDtbW1hg8eDDmzZsnY3IiMjRbz25FUnoSVFDhxxd/xOAmg2GmMphd45/Y9u1AUhJgbQ20aCF3GiIyBEZXOFu2bIlDhw6VOF/NmjXx22+/VUAiIjJWb/m9hS8Pf4kUTQpu379tEmUzLw+YMkV6HBIilU4iopIY/7cjEZEeaHI0yM7NxqtNXwUgXdby6r2rMqfSn8xM4NQpYO5cIDoaqFwZeGTDERFRsYxuDScR0dNI06QhMT0RiWmJuvePvXY3867Oz2VkZ2DxscX4uOPHMiV/etnZwJUrwLlzwPnz0i3/cVyctO9mvnHjeMJ3Iio9Fk4iMnpCCNx+cLtgiXysTCalJyEjO6PU72tlbgU3Oze4VXZDTYeaGNxksB4/RfnIywPi4wsvlZcvAzk5Rf+svT1Qvz7QsiXwwQcVl5mIDB8LJxEZHCEEsvOyocnRIFWTWmKJTEpP0p4bszQqW1WGW2U3bZl0s3v42NXOVfu4SqUqxV4sQi55ecCNG4WXygsXAI2m6J+1tgbq1ZNu9evr3levDijw4xKRAWDhJKJSE0IgKzcLmlwNMnMyocn57768npfh5wREyYEfU826WpFF8tF7WytbPYxe+UlJkdZSxsVJ948/jo8HsrKK/nlLS6BOncJLpbs7YMa9+4monLFwEhmAPJGHrNws2Ureo4+VxlxlDhc7l2JLpKudK1ztXGFlbiV33BJlZgIJCUUXyrg4IC2t5PcxMwNq1Sq8VNasCVjw25+IKhC/coiKkZuXW6BwlXfJK83PZOUWs7pKRlbmVlCbq1HJohLUFv/dl/b5k/5cIc8N5XREublAYmLhayXzHycnl+69qlYFPD2lW82auveenkCNGtKaTCIiJWDhJEXKycspl5KnMy237O+Rk1fMERQyUkLJszK3MpiiVxGEAO7cKXozd1wccP168Qfl5LO21i2PhRVKW2Vv9Sci0sHCSQU8yH6AjOyM0pU4Pe2flyty5R6GAlRQyV7y1OZS0VPigSrG7v59qTQWVygfPCj5fczNpbWPxRXKqlV5cA4RGRcWTgIA3L5/GxtPb8Sak2uw78q+JzogQ1/MVGaoZFGpwkve49MszCxY9EzMtWvA5s3Apk3Avn3S0d8lcXYueq1kzZqAq6tUOomITAkLpwlL1aTi1zO/Ys3JNYi4FFFg87GFmUXZy5r5k6+5K2qahRkXU6o4ly5JBXPjRuDxq+RWrlywSD5aKD08gEqV5MlNRKRk/EtuYh5kP8Dv53/HmpNr8Pu533WOOm7h2gIDfQeif+P+8LT3hLkZV8OQ8RMCiI19WDKPH9edHhAAvPQS8OKLQO3a8mQkIjJ0LJwmICs3CxEXI7Dm5Br8evZXpGela6c1qNYAg3wHYaDvQDRwaiBjSqKKIwRw9KhUMjdtAs6efTjN3Bzo0EEqmX37SuelJCKip8PCaaRy83Kx7+o+rDmxBhtPb9S57rOXgxcG+g7EIN9BaOrSlPslkknIzQUiI6W1mJs2SQf55LOyArp2lUpm795AtWry5SQiMkYsnEYoLiUOz696HqduntK+5mrniv4+/THQdyDaerRlySSTcv68tEn81MP/JWBrCzz/vFQyn39euk44ERHpBwunkTlz6wy6rOyChNQEOFZyRD+ffhjoOxCBXoHcJ5NM0u7dwCuvAHfvAg4OQJ8+Usns2lU63yUREekfC6cROXr9KLqv6o5b92+hoVNDRAyNgIe9h9yxiGSzaBEQEiJtTm/bVjrFkaur3KmIiEwPLxNiJP659g+CVgTh1v1b8HP3w1+v/8WySSYrNxcYMwZ45x3p8auvAnv2sGwSEcmFaziNxIqYFUjLSkObGm0QMTQC9mrukEamKSMDGDQI2LpVev7JJ8CECbxyDxGRnFg4jYR3FW/p3tGbZZNMVmIi0KuXdMqjSpWAn34CXn5Z7lRERMTCaSQaOTUCAMTejJU5CZE8Tp2SjjaPiwOqVwe2bJH22yQiIvlxH04j4VPdBwBw7va5ApeoJDJ2u3cD7dpJZbN+fel8myybRETKwcJpJLwcvWBtYQ1NrgaX716WOw5RhVm1CujWDUhJAdq3l8pmnTpypyIiokexcBoJM5UZqttWBwAkpSfJnIaoYvz2GzBsGJCTIx0oFBEBVK0qdyoiInocC6eRSMlMQVyKdK2+/M3rRMbs8GGgf3/ptEfBwdIBQmq13KmIiKgwLJxGIiYpBoB0nfRqNrwQNBm38+eBnj2BBw+A7t2B778HzPhtRkSkWPyKNhInkk8AAJq5NpM5CZF+Xb4MdO4M3LoFtGoFrF8PWFrKnYqIiIrDwmkkKllUAgDk5uXKnIRIfy5fBjp0eHg0+u+/A3Z2cqciIqKSsHAaCffK7gCA62nXZU5CpB+XLumWzT17ABcXuVMREVFpsHAaCRZOMmaXLgFBQbpl091d7lRERFRaLJxGokblGgCA5IxkZOdmy5yGqPxcvKhbNvfuZdkkIjI0Rlc49+7dC5VKVegtKipKO19h0xctWiRj8qeTf0okAYG7mXdlTkP09NLTgRkzgKZNdcumm5vcyYiIqKyM7lrqAQEBSExM1Hnto48+wq5du+Dn56fz+rJly9C9e3ftcwcHhwrJWN6OJx1Hl5VdAAAdvTvC2dZZ5kRETy43F1i2DPjoIyDpv2sY+PsDGzeybBIRGSqjK5xWVlZwdXXVPs/OzsaWLVsQEhIClUqlM6+jo6POvIboZPJJdF7ZGXcz76KtR1v8MuAXuSMRPREhgD/+AD74ADh5Unqtdm1g9mzglVeAx/73JSIiA2J0m9Qft2XLFty6dQvBwcEFpoWEhMDJyQmtW7fGokWLkJeXV+x7aTQapKamam9paWl6Sl06qZpUdP6xM27dvwU/dz/sGLIDldWVZc1E9CRycoDBg4EePaSyWaUKMH8+EBsL9OvHsklEZOiMbg3n45YsWYJu3brB09NT5/WPP/4YnTp1grW1Nf7880+MHz8et27dwpQpU4p8r/DwcMyYMUPfkUvtn2v/4EbGDbhXdsfOV3fCoZJh7hJApi0vD3jjDWDtWukE7mPGAJMnS6WTiIiMg8Gs4Zw+fXqRBwPl344cOaLzMwkJCfjjjz8wfPjwAu83ZcoU+Pv7o3nz5hg/fjzCwsIwd+7cYjNMnDgRKSkp2ltsbGy5fsaySs5IBgA0dGqIKtb860yGRwhg7Fhg5UrA3FzaT3PePJZNIiJjYzBrOENCQjBw4MBi56lVq5bO82XLlqFatWro3bt3ie/ftm1bpKam4saNG3Ap4mzSarUaarVa+zw1NbXk4HqUXzh5kBAZqqlTga+/ljaZ//gj0KuX3ImIiEgfDKZwOjk5wcnJqdTzCyGwbNkyvPbaa7AsxYWWo6OjUalSJTg6Oj5FyoqVXzir21SXOQlR2c2bB8ycKT3+5htpH04iIjJOBlM4y2r37t24fPlyoZvTt27diqSkJPj7+8Pa2hp79uzB5MmT8eabb+qswVS6pHTpnDFcw0mGZsMG6Wh0AAgPB955R948RESkX0ZbOJcsWYKAgAA0atSowDRLS0ssXLgQoaGhyMvLQ+3atREWFobRo0fLkPTJpGnS8OvZXwEAPtV9ZE5DVDazZ0v3Y8cCEybIm4WIiPTPaAvn6tWri5zWvXt3nRO+G6Jvj3yLOw/uoF7VeujdoOR9VImU4vhx4OhR6Yj0Yk4KQURERsRgjlKnhzKyMjDv4DwAwOT2k2FhZrT/biAjtHSpdN+nD1CG3bKJiMiAsXAaoO+Pfo+b92/C29Ebg5vwSAsyHBoN8NNP0uNCdq8mIiIjxcJpYHLzcjHn4BwAwKT2k2BpXvIR+ERK8d13wJ07gIcH0KWL3GmIiKiisHAaGE2uRns6pA61OsgbhqiUhACmTZMOEgKAUaOkE70TEZFpYOE0MDaWNgjwDAAA/HHhD5nTEJUsMxMYMgQIC5Oe/+9/0o2IiEwHC6cB6lVfuhzLb+d/kzkJUfHu3QM6dwbWrAEsLIAffpBOiWTGbx4iIpPCw5sNUFCtIABA1LUomZMQFU0IYORI4O+/AQcH6TrpnTrJnYqIiOTAwmmA7mbeBQC42rnKnISoaKtWSVcUsrAAIiKA1q3lTkRERHLhhi0DdOnuJQBA7Sq1ZU5CVLi4OCD/wl3Tp7NsEhGZOhZOA3TxzkUALJykTHl5QHAwkJoKtG3LA4SIiIib1A3SpXvSGs46VerInIRIl0YDzJwJ7NkD2NgAK1dKm9SJiMi08U+BgcnMyURkfCQAoG7VujKnIZIkJgKLFkm3ZOk0sZg/H6jLRZSIiMDCaXCWxyxHYnoiPOw90NG7o9xxyMRFRQFffgn8/DOQnS295uEBvP8+8Oab8mYjIiLlYOE0INm52Zh9YDYA4MOAD6G2UMuciExRVhawaZNUNA8devh6u3bSlYT69gUsecVVIiJ6BAunAfnkr09wNeUqXGxdMKLlCLnjkIk5fhxYtkw63dGtW9JrVlbAwIHAmDFAq1by5iMiIuVi4TQQi48txvR90wEAszrOgrWltbyByCTcvg2sXi0Vzejoh6+7uQFvvw289Rbg4iJfPiIiMgwsnAbg1zO/4q3f3gIATHp2Eoa3HC5zIjJmOTnAzp1SydyyRdqEDkhrM3v3Bl5/HejalUefExFR6fFPhsL9dfUvDNw4EHkiD8NbDMfMjjPljkRG6swZqWSuXCkddZ6vZUupZA4aBFSrJl8+IiIyXCycCnbixgn0XtsbmTmZ6N2gNxb1XASVSiV3LDIiqanA2rVS0Xz0ACAnJ+DVV6Wi2bSpfPmIiMg4sHAq2MCNA3Ev8x6erfks1r68FhZm/M9F5eP+feDrr4HZs4G7d6XXzM2B55+XSuYLL0ib0ImIiMoDG4yCVbepDgBo5NSIBwlRucjOBpYuBWbMeLjZvEEDYORIaY0mDwAiIiJ94LXUFSx/f82l0Utx5tYZmdOQIcvLA9asAXx8pKPLExOBWrWAH38ETp0Cxo9n2SQiIv1h4VSwZ2s+i94NeiNX5GLSn5PkjkMG6uRJoHVrYPBg4MIFwNkZWLBAOkho6FBpUzoREZE+sXAqXHincKigwuYzm3Hu9jm545ABEQL4/nupbB47BtjbAx9/DFy8CISEAGpeqIqIiCoIC6fC+VT3wfP1ngcAfPPPNzKnIUNx7x4wYIB0YvbMTKBHD+D8eWDKFMDOTu50RERkalg4DcCYZ8YAAJbFLEOaJk3mNKR0hw8DLVoA69dLJ2efNw/47TdpUzoREZEcWDgNQOfandGgWgOkZaVhxfEVcschhcrLA+bMAZ59FrhyBfD2Bv7+WzogyIz/pxMRkYz4Z8gAmKnM8G6bdwEAX//zNYQQMicipblwAejWDfjf/6RLU/bvL137vE0buZMRERGxcBqM2w9uAwCupV1DTl6OzGlIKe7fl/bLbNwY2LULsLYGfvhBunqQg4Pc6YiIiCQ88bsB2H15N6bvnQ4A+LrH17A0t5Q3EMlOCGDzZmDcOCAuTnqtWzfgq6+A+vXlzUZERPQ4g1zDOWvWLAQEBMDGxgaOjo6FzhMXF4devXrB1tYWTk5OGDNmDLKysnTmOXHiBAIDA2FtbY0aNWogLCxMcZurk9KTMHjjYAgIDG8xHMOaD5M7Esns3Dmge3fg5ZelslmzJrBpE7B9O8smEREpk0Gu4czKykK/fv3g7++PJUuWFJiem5uLF154AdWrV8eBAwdw+/ZtDBs2DEIILFiwAACQmpqKLl26ICgoCFFRUTh37hyCg4Nha2uL8ePHV/RHKtLymOW4kXEDjas3xoIeC+SOQzLKyABmzZKOOs/Olq51/uGHwMSJgI2N3OmIiIiKZpCFc8aMGQCA5cuXFzp9586diI2NRXx8PNzd3QEAn332GYKDgzFr1izY29tj1apVyMzMxPLly6FWq+Hr64tz585h/vz5CA0NhUqlqqiPUyxLM2nzeVOXpryeugn7+29g0CAgPl56/vzzwJdfAnXrypuLiIioNAxyk3pJIiMj4evrqy2bANCtWzdoNBocPXpUO09gYCDUj1xupVu3brh+/TquXLlS0ZGL5OngCQBISE2QOQnJZe1aoGNHqWzWqgX8+qt0Xk2WTSIiMhRGWTiTkpLg4uKi81qVKlVgZWWFpKSkIufJf54/z+M0Gg1SU1O1t7Q0/Z+E3cPeAwALpykSAvjkE2nNZlYW8OKL0nXRe/cGFLICnoiIqFQUUzinT58OlUpV7O3IkSOlfr/CNokLIXRef3ye/AOGitqcHh4eDgcHB+3Nx8en1Hme1KOFM0/k6f33kTJkZwMjRwKTJ0vPx4+XrhxkaytvLiIioiehmH04Q0JCMHDgwGLnqVWrVqney9XVFYcPH9Z57e7du8jOztauxXR1dS2wJjM5ORkACqz5zDdx4kSEhoZqn1+7dk3vpdPNzg0qqJCdl42bGTfhYld4NjIet28Dr7wC7N0rXSFowQJg1Ci5UxERET05xRROJycnODk5lct7+fv7Y9asWUhMTISbmxsA6UAitVqNVq1aaeeZNGkSsrKyYGVlpZ3H3d29yGKrVqt19vlMTU0tl7zFsTS3hFtlN1xPu4741HgWTiN3+jTQqxdw8SJQubK0/+bzz8udioiI6OkoZpN6WcTFxSEmJgZxcXHIzc1FTEwMYmJikJ6eDgDo2rUrfHx8MHToUERHR+PPP//E+++/j5EjR8Le3h4AMHjwYKjVagQHB+PkyZPYvHkzPvnkE0UdoZ6P+3Gahh07gLZtpbLp7Q1ERrJsEhGRcTDIwjl16lS0aNEC06ZNQ3p6Olq0aIEWLVpo9/E0NzfH77//jkqVKqFdu3bo378/+vbti3nz5mnfw8HBAREREUhISICfnx9GjRqF0NBQnU3mSsHCadyEkE5x9MILQGoq0L49cPiwdLlKIiIiY6CYTeplsXz58iLPwZmvZs2a+O2334qdp0mTJti/f385JtMPj8pS4YxPiZc5CZW37Gxg9Gjp+ucA8MYbwLffSid1JyIiMhYGuYbT1OSfizMuNU7mJFSehADeflsqmyoV8NlnwOLFLJtERGR8DHINp6mpXaU2AODinYsyJ6HyNHMmsHSpdCT6+vXASy/JnYiIiEg/uIbTANStKl1S5sKdCzInofKyYgUwdar0+JtvWDaJiMi4sXAagDpV6gAA7mbexZ0Hd2ROQ09r1y5gxAjp8YQJ0mZ1IiIiY8bCaQBsrWzhXlm6LjzXchq26GhpbWZOjnTJylmz5E5ERESkfyycBsJB7QAAuJZ6TeYk9CSysoCPPwb8/YG0NCAwEFi2TNp/k4iIyNjxoCEDcDD+IE7fOg0rcyv4e/rLHYfK6MAB4M03pasIAUD37sDq1cAjF60iIiIyaly/YgA+i/wMADC06VC42rnKnIZK69494K23pBO5nz4NODtLRXPbNqBKFbnTERERVRyu4VS4K/euYPPpzQCAUH/lXQWJCnfqlLQmM+G/i0ONGAF8+ilQtaq8uYiIiOTAwqlwf139CwIC/h7+8KnuI3ccKoXDh6VroN+5A9SrJ53M/bnn5E5FREQkHxZOhTuWeAwA0Nq9tcxJqDT+/BPo0wfIyACeeUbafM61mkREZOq4D6fCRSdFAwBauLWQOQmVZPNmac1mRgbQubN0vk2WTSIiIhZORRNCICYpBgDQwpWFU8mWLQNeeUU6/dFLLwG//QbY2cmdioiISBlYOBXsyr0rSNGkwMrcivtvKtiqVcAbbwB5edL9unU85REREdGjWDgVzNrSGgCQnZuNu5l3ZU5Dhblw4eGlKceOlQ4QsuCe0URERDpYOBXM1c4VLd1aQkBg2/ltcsehx2RlSZenTE+Xrhz02WeASiV3KiIiIuVh4VS4nvV6AgC2ntsqcxJ63EcfAUeOSCdxX7kSMDeXOxEREZEysXAqXK8GvQAAOy/uhCZHI3MayrdrFzBnjvR4yRLA01PePERERErGwqlwDZ0awtrCGulZ6fgr7i+54xCAxETgtdekx2+9Bbz4orx5iIiIlI6FU8Eu3rmIgCUBeJDzABZmFqhmXU3uSCbvwQPpxO6JiUDjxsD8+XInIiIiUj4WToXafn47/H7ww4nkE3CxdcHu13bz5O8yE0K6JnpUlHRC919/BWxs5E5FRESkfDyBiwJ98883eHf7uxAQaOvRFhv6bUAN+xpyxzJ58+YBq1dLpz3asAGoU0fuRERERIaBhVOBFh5ZCAGBoFpB2D5kO9QWPIu43LKygJkzpcdffQUEBcmbh4iIyJBwk7oCvdvmXQDA0cSjuPPgjsxpCAD++gtITQWcnaUDhYiIiKj0WDgVaGTLkWjt3hqpmlSM3zle7jgEYOt/p0Ht2RMw4/81REREZcI/nQpkbmaORT0XwUxlhjUn12DXpV1yRzJpQgBbtkiPe/WSNwsREZEhYuFUqJZuLTG69WgAwOhto5GVmyVzItMVGwtcvgyo1UCXLnKnISIiMjwsnAr2cdDHsDSzxLnb53D+9nm545isP/6Q7oOCAFtbebMQEREZIhZOBbuffR/ZedkwU5mhlmMtueOYrL17pftOnWSNQUREZLBYOBXsWOIxANLlLW2tuGpNDrm5wP790uMOHWSNQkREZLBYOBXsaOJRANL+nCSP48eBlBTA3h5o3lzuNERERIbJIAvnrFmzEBAQABsbGzg6OhaYfvz4cQwaNAienp6wtrZGo0aN8OWXX+rMc+XKFahUqgK3HTt2VNCnKFl+4Wzl1krmJKYrf3N6+/bSFYaIiIio7AzyT2hWVhb69esHf39/LFmypMD0o0ePonr16vjpp5/g6emJgwcP4s0334S5uTlCQkJ05t21axcaN26sfV61alW95y+tpPQkAEDEpQiMbj0aluaWMicyLTk5wNKl0uOOHeXNQkREZMgMsnDOmDEDALB8+fJCp7/xxhs6z2vXro3IyEhs2rSpQOGsVq0aXF1d9ZLzaX3W9TN0XdkV285vQ/CvwVj54kqYqQxypbRBWr4cOHUKqFoVeGyRIiIiojIwmfaSkpJS6NrL3r17w9nZGe3atcOGDRtkSFa0Z2s+iw39N8DCzAKrT6xGyLYQCCHkjmUSMjKAqVOlx1OmAIXsuUFERESlZBKFMzIyEj///DPeeuQi2HZ2dpg/fz42bNiAbdu2oVOnThgwYAB++umnIt9Ho9EgNTVVe0tLS9N79ufrPY/ve34PAPj2yLf4K+4vvf9OAr75BkhMBGrVAkaNkjsNERGRYVNM4Zw+fXqhB/E8ejty5EiZ3/fUqVPo06cPpk6dii6PXCbGyckJ48aNQ5s2beDn54ewsDCMGjUKc+bMKfK9wsPD4eDgoL35+Pg80WctizyRhy3npOsqVrepjoZODfX+O01dVhaQf4zZ1KnSFYaIiIjoySlmH86QkBAMHDiw2Hlq1apVpveMjY1Fx44dMXLkSEyZMqXE+du2bYvFixcXOX3ixIkIDQ3VPr927ZreS+eEXRPwy5lfoDZX45eBv8DZ1lmvv4+AtWuB69cBNzdg8GC50xARERk+xRROJycnODk5ldv7nTp1Ch07dsSwYcMwa9asUv1MdHQ03NzcipyuVquhfmR1V2pq6lPnLM7iY4sx9+BcAMDSPksR4Bmg199HgBDAvHnS4zFjuHaTiIioPCimcJZFXFwc7ty5g7i4OOTm5iImJgYAULduXdjZ2eHUqVMICgpC165dERoaiqQk6fRC5ubmqF69OgBgxYoVsLS0RIsWLWBmZoatW7fiq6++wqeffirXx9Kx+/JuvPP7OwCAaYHTMLgJV7VVhIgI4MQJ6Zrpj+zyS0RERE/BIAvn1KlTsWLFCu3zFi1aAAD27NmDDh06YP369bh58yZWrVqFVatWaefz8vLClStXtM9nzpyJq1evwtzcHPXr18fSpUvx6quvVtjnKM4bv76BnLwcDPIdhGmB0+SOYxKEAD7+WHo8YgRQpYq8eYiIiIyFSvA8O08sISEBnp6eiI+Ph4eHR7m+d7ul7XAw/iA+7fwpPmz3Ybm+NxVu1Srg1VcBa2vg7FnA01PuREREpBT6/JtvChRzlDrper356wCAZTHLeO7NCpCaCrz/vvR4yhSWTSIiovLEwqlQ/Rv3h7WFNc7cOoNDCYfkjmP0ZswAkpKAevWA8ePlTkNERGRcWDgVyl5tj36N+wEAlkYvlTmNcTt58uF5Nxcs4JHpRERE5Y2FU8HeaC5dwHvlvyvx86mfZU5jnPLygNGjgdxc4MUXgW7d5E5ERERkfFg4Few5r+fQq34vaHI1GLBhACbumojcvFy5YxmVJUuA/ful0yB9/rncaYiIiIwTC6eCqVQqbBqwCR8EfAAAmP33bPRc0xN3H9yVOZlxSEwEPpCGFjNnAl5e8uYhIiIyViycCmdhZoE5XeZg9UurYW1hjR0XdqDN4jY4lXxK7mgG7913gZQUoHVr6TERERHpBwungRjUZBAODj8ILwcvXLhzAW2XtMWm05vkjmWwfv0V2LgRsLAAfvgBMDeXOxEREZHxYuE0IA2dGmLCsxOgggrpWenot74fLt29JHcsg3PsmHQlIUDapN6smbx5iIiIjJ1BXtrSlOSJPPx19S/89O9PWB+7HimaFO00fw9/ONk4yZjO8OzdC/TuDaSlAX5+wEcfyZ2IiIjI+LFwKtTpm6ex8t+VWHViFeJS4rSve9p7YkiTIXi16ato7NxYxoSG59dfgQEDAI0G6NBBem5tLXcqIiIi48fCqTBCCPRc0xPbzm/Tvmavtkc/n354temreM7rOZipuCdEWa1bBwwZIp1vs3dv6XmlSnKnIiIiMg0snAqTk5eDf679o33+7QvfYlizYbC25Kq4J/Xnn8DQoVLZfO016dybFlzyiYiIKgxXlSmMpbkltg/ZjmrW1QAAX//zNe5m8rybTyomRrqCUHY20K8fsHQpyyYREVFFY+FUID93P+x/fT/cK7vj1M1TeHbpszwa/Qlcvgz06CEdINShA/Djjzz9ERERkRxYOBXKp7oPDrx+ALWr1Mble5fx7NJnebL3Mrh5U7ouelIS0LQp8Msv3GeTiIhILiycCuZdxRsHXj8AX2dfJKYn4rnlzyEpPUnuWIqXkyMdGHT+PFCzJrB9O+DgIHcqIiIi08XCqXDVbaujlVsrAMCdB3eQkJogcyLlW7oUOHQIcHQE/vgDcHeXOxEREZFp4+ETCvYg+wEGbRyEX8/+ChVUWPjCQvi5+8kdS9HS0h6ezH3GDKBhQ3nzEBEREQunYt15cAe91vTCwfiDUJursfrl1Xip0Utyx1K8OXOA5GSgbl3g7bflTkNEREQAC6cixafEo/uq7oi9GQvHSo7YMnAL2nu1lzuW4iUkAJ99Jj2eMwewspI3DxEREUlYOBUmPSsdAUsDkJCagBqVa2DHqzvg6+wrdyzFEwIYPx548ABo3x7o21fuRERERJSPhVNhDiccRkJqAqpaV8XB4QdR06Gm3JEUTwjgww+Bn38GzMyktZwqldypiIiIKB+PUlcYe7U9AMDawppls5RmzQLmzZMe//AD0Lq1vHmIiIhIFwunwlSzkS5pefvBbZmTGIavvnp4VPrnnwNvvCFvHiIiIiqIhVNh8q+hnpmTiQfZD2ROo2zLlgFjx0qPp08H3ntPzjRERERUFBZOhbFX28PCTNq1llcVKpwQwPffAyNGSM/HjQOmTpU3ExERERWNhVNhVCoVGjk1AgCM2jYKOXk5MidSlnv3gAEDgLfeAvLygOHDeZAQERGR0rFwKtCyPstgbWGNHRd2IPSPULnjKMbBg0Dz5sD69YCFBfDpp9KaTpZNIiIiZWPhVKBW7q3w00s/AQAW/LMA30Z9K3MieQkBhIcDzz0HXL0K1KkD/P23dCokMy7BREREisc/1wr1UqOXEN4pHADw4a4PTXrT+q5dwKRJQG4u8OqrwLFjQJs2cqciIiKi0jLIwjlr1iwEBATAxsYGjo6Ohc6jUqkK3BYtWqQzz4kTJxAYGAhra2vUqFEDYWFhEEJUwCconQ/bfQhrC2ukZ6Xj8t3LcseRzfz50v1bbwErVwL29vLmISIiorIxyCsNZWVloV+/fvD398eSJUuKnG/ZsmXo3r279rmDg4P2cWpqKrp06YKgoCBERUXh3LlzCA4Ohq2tLcaPH6/X/KVlpjJDQ6eGiE6KRuzNWNSrVk/uSBXu9Glgxw5pP80PPpA7DRERET0JgyycM2bMAAAsX7682PkcHR3h6upa6LRVq1YhMzMTy5cvh1qthq+vL86dO4f58+cjNDQUKoUcieJT3UdbOPs07CN3nAr35ZfSfe/e0r6bREREZHgMcpN6aYWEhMDJyQmtW7fGokWLkJeXp50WGRmJwMBAqNVq7WvdunXD9evXceXKFRnSFs6nug8AIPZWrMxJKt7t28CPP0qPx42TNwsRERE9OYNcw1kaH3/8MTp16gRra2v8+eefGD9+PG7duoUpU6YAAJKSklCrVi2dn3FxcdFO8/b2LvCeGo0GGo1G+zwtLU1/H+A/dapIq/Uu3b2k99+lJEIAISHAgwdAixbSEepERERkmBSzhnP69OmFHujz6O3IkSOlfr8pU6bA398fzZs3x/jx4xEWFoa5c+fqzPP4ZvP8A4aK2pweHh4OBwcH7c3Hx6eMn7LsrqddBwC4V3bX++9SkjlzgLVrpfNtfvklz7VJRERkyBSzhjMkJAQDBw4sdp7H10iWRdu2bZGamoobN27AxcUFrq6uSErSvXRkcnIygIdrOh83ceJEhIY+PBH7tWvX9F46z9w6AwBoWK2hXn+PkmzbBkycKD3+6iugfXt58xAREdHTUUzhdHJygpOTk97ePzo6GpUqVdKeRsnf3x+TJk1CVlYWrKysAAA7d+6Eu7t7kcVWrVbr7POZmpqqt7z5ztz+r3A6mUbhPHsWGDRI2qT+5pvA22/LnYiIiIielmIKZ1nExcXhzp07iIuLQ25uLmJiYgAAdevWhZ2dHbZu3YqkpCT4+/vD2toae/bsweTJk/Hmm29qC+PgwYMxY8YMBAcHY9KkSTh//jw++eQTTJ06VTFHqAOPrOE0gcJ57x7Qpw+Qmgq0awcsWMBN6URERMbAIAvn1KlTsWLFCu3zFi1aAAD27NmDDh06wNLSEgsXLkRoaCjy8vJQu3ZthIWFYfTo0dqfcXBwQEREBEaPHg0/Pz9UqVIFoaGhOpvM5Xb7/m0kZ0ib+etXqy9zGv26fBno1Utaw+nhAWzcCPy34pmIiIgMnEoo6dI6BiYhIQGenp6Ij4+Hh4dHub//3it7EbQiCN6O3rg01niPUj94EOjbF7h5E3B3B7ZvB5o2lTsVERHRQ/r+m2/sFHOUOhX0741/AQBNXYy3fa1eDXTsKJXNli2Bf/5h2SQiIjI2LJwKdjzpOADjLJxCANOmAUOGABoN8OKLwP79QI0acicjIiKi8maQ+3Cain+TpTWczVyayZykfGVlAa+9BqxbJz3/3/+ATz4BzPjPHyIiIqPEP/EKdvHORQDAqZunZE5SvlavlsqmpSWwdCkwezbLJhERkTHjn3kFC/WXjpiftncawvaFwViO7zou7SmAkBDg9dflzUJERET6x8KpYFOem4JZHWcBkErnpD8nGUXpvHBBuq9v3Gd6IiIiov+wcCrcpPaTML/rfADA7L9nY9wf4wy+dF6U9hRAnTry5iAiIqKKwcJpAMb5j8PC5xcCAL48/CXe+f0dgy2deXnApf9OKcrCSUREZBpYOA3EO63fwdCmQwEA3x39DjFJMfIGekJffSWdBsnKCqhZU+40REREVBFYOA3Ag+wHGLllJFb+uxIA0NG7I3ydfWVOVXbz5wPjxkmPp0wBLHhSLiIiIpPAP/kKd+bWGfRf3x8nkk9ABRWmBk7FR899BHMzc7mjlcncucCHH0qPP/pIKpxERERkGlg4FSwpPQnPLH4GqZpUuNi6YNVLq9Cpdie5Y5XZokUPy+b06dIVhoiIiMh0sHAqWJ7IQ3pWOgBgzctrEOQdJHOisjtwAHj3Xenx1Kksm0RERKaI+3AqmHtld/Rt2BcAsObkGnnDPIFr14BXXgFycoABA6S1m0RERGR6WDgV7r1n3gMArPx3JW7dvyVvmDLQaKSyeeMG0KQJsGQJoFLJnYqIiIjkwMKpcM/WfBYt3VoiMycT3x/9Xu44pTZ2LHDoEODoCGzeDNjayp2IiIiI5MLCqXAqlUq7lnPRkUXyhimlX34BvvtOWqO5Zg1P8E5ERGTqWDgNgKudKwAgKzdL5iSl88sv0v277wLdu8sahYiIiBSAhdMAbDy9EQDQu0FvmZOUzqFD0n23bvLmICIiImVg4VS43LxcbD6zGQDwcqOXZU5Tsrt3gbNnpcdt2sibhYiIiJSBhVPh/o7/G8kZyXCs5GgQ5+H85x/pvm5dwMlJ3ixERESkDCycCrcx9uHmdCtzK5nTlOzwYen+mWfkzUFERETKwcKpYJocDVafXA0A6O/TX+Y0pfP339J927by5iAiIiLlYOFUsC1nt+DW/Vtwr+yObnWVfwROTg5w8KD0uH17ebMQERGRcrBwKtiS6CUAgOBmwbAwU/5l7//9F0hPBxwcAF9fudMQERGRUrBwKlRcShx2XtwJAHijxRsypymdv/6S7gMCAHNzebMQERGRcrBwKtSaE2sgINChVgfUqWoYl+rJ35zO/TeJiIjoUSycCmVtaQ0AuHDnAtKz0mVOUzqu0gWRsGYN8OCBvFmIiIhIOVg4FWpEyxGo5VgLCakJmLF3htxxSmXqVMDNDThzBpgwQe40REREpBQsnAplY2mDr3t8DQD4/NDnOJl8UuZEJatWDVi6VHr81VdARIS8eYiIiEgZWDgV7IX6L6B3g97IFblYFr1M7jil0r07MGqU9Pj116VLXRIREZFpM8jCOWvWLAQEBMDGxgaOjo4Fpi9fvhwqlarQW3JyMgDgypUrhU7fsWNHBX+a4vWu3xsAEHMjRt4gZTBnDlCvHnDtmrSZnYiIiEyb8k/uWIisrCz069cP/v7+WLJkSYHpAwYMQPfu3XVeCw4ORmZmJpydnXVe37VrFxo3bqx9XrVqVf2EfkLNXZsDAI4nHYcQAiqVSt5ApWBrC7z1FvD++8ClS3KnISIiIrkZZOGcMUM6iGb58uWFTre2toa1tbX2+c2bN7F79+5Cy2m1atXgmn94tQI1dm4Mc5U5bj+4jWtp1+Bh7yF3pFI5ckS65ymSiIiIyCA3qZfVjz/+CBsbG7zyyisFpvXu3RvOzs5o164dNmzYUOz7aDQapKamam9paWn6iqxVyaISGjo1BCCt5TQEDx4A+/dLj599Vt4sREREJD+TKJxLly7F4MGDddZ62tnZYf78+diwYQO2bduGTp06YcCAAfjpp5+KfJ/w8HA4ODhobz4+PhURH63cWwEAfj//e4X8vqdx6BDQogVw/bq0ab1NG7kTERERkdwUUzinT59e5IE++bcj+dtpyyAyMhKxsbEYPny4zutOTk4YN24c2rRpAz8/P4SFhWHUqFGYM2dOke81ceJEpKSkaG+xsbFlzvMkgpsFAwBWHF+BOw/uVMjvLKvMTOB//wPatQPOnpXOx7lpk1Q6iYiIyLQpZh/OkJAQDBw4sNh5atWqVeb3Xbx4MZo3b45WrVqVOG/btm2xePHiIqer1Wqo1Wrt89TU1DLneRIdanVAM5dmOH7jOL4/+j0mPKuss6r/8w8QHAycPi09HzoU+OILQGHHXxEREZFMFFM4nZyc4OTkVK7vmZ6ejp9//hnh4eGlmj86Ohpubm7lmqE8qFQqjGs7DsG/BuPrf77GeP/xsDS3lDsWNBpg+nTpNEh5edKlLb/7DujdW+5kREREpCSKKZxlERcXhzt37iAuLg65ubmIiYkBANStWxd2dnba+datW4ecnBwMGTKkwHusWLEClpaWaNGiBczMzLB161Z89dVX+PTTTyvqY5TJQN+B+N+u/+Fa2jWsj12PwU0Gy5onPl46yXv+XgVDhkhXF+JaTSIiInqcQRbOqVOnYsWKFdrnLVq0AADs2bMHHTp00L6+ZMkSvPTSS6hSpUqh7zNz5kxcvXoV5ubmqF+/PpYuXYpXX31Vr9mflJW5FRo7N8aNyzew/+p+2Qvn/PlS2XRxARYtAvr2lTUOERERKZhKCCHkDmGoEhIS4Onpifj4eHh46Pf8mBtiN6Df+n6wMLPA0TePoqlLU73+vpL07Qv8+iuwcCHwzjuyRiEiItK7ivybb4wUc5Q6Fe3OgzsYvW00AGDisxNlL5uAdNlKAOD/c0RERFQSFk4DEPpHKJIzktHIqREmt58sdxwAQEKCdF+jhrw5iIiISPlYOBVu58WdWHF8BVRQYUnvJVBbqEv+IT3LzgZu3JAes3ASERFRSVg4Fe6rw18BAEa3Hg1/T3+Z00gyMoD8PX/V8vdfIiIiUjgWToU7mngUADCkacFTO8nF0RGoV096vG+frFGIiIjIALBwKlhiWiKS0pNgpjJTxIFCj+rSRbrfuVPeHERERKR8LJwKFp0UDQBo6NQQNpY2MqfR1bWrdB8RIW8OIiIiUj4WTgU7lngMANDSraXMSQrq0AEwNwfOnweuXpU7DRERESkZC6eCaQunq/IKp4MD4P/fMUxz58qbhYiIiJSNhVPB8gtnC7cWMicp3LRp0v033/DgISIiIioaC6dC3XlwB1dTpG3VzV2byxumCJ07AyNHSo+HDwfu35c3DxERESkTC6dCRSdKBwzVqVIHjpUc5Q1TjLlzpctbXrwITJkidxoiIiJSIhZOhVL65vR8Dg7A999Lj7/4Ajh4UNY4REREpEAsnAp18e5FAECDag1kTlKyHj2AYcOkqw/NmiV3GiIiIlIaFk6FcrVzBQAkZyTLnKR0PvhAuv/zTyA9Xd4sREREpCwsnArl7egNALh877LMSUrHxweoXRvQaIA//pA7DRERESkJC6dCeVf5r3DeNYzCqVIBffpIj7dskTcLERERKQsLp0LVcqwFALiachW5ebnyhiml/ML5229ATo68WYiIiEg5WDgVys7KDgCQk5eDFE2KzGlKp107oHJl4M4d4PRpudMQERGRUrBwKtT289sBAI2cGqGqdVWZ05SOhQVgYyM9FkLeLERERKQcLJwKtfH0RgDAy41eljlJ2eT+t/Xf3FzeHERERKQcLJwKlJGVgR0XdgAAXvZh4SQiIiLDxsKpQNsvbMeDnAeoXaU2mrk0kztOmeQfLGRhIW8OIiIiUg4WTgWKjI8EAHSr0w0qlUrmNKWXmwtkZkqPrazkzUJERETKwcKpQF6OXgCAhNQEmZOUzeXLQHY2oFYDNWrInYaIiIiUgoVTgVq6tQQAHEs8hqv3rmLanmm4mXFT5lQl+/tv6b5KFe7DSURERA+phOAJbJ5UQkICPD09ER8fDw8Pj3J73zRNGhxmO0BA9z9N7tRcmKmU+2+ER7f+c6kiIiJjoq+/+aZCue3FhFVWV0a9avUKvK7ksklERERUFDYYhWpTo432cTOXZsidahiXtwSAzp3lTkBERERKwpPXKFRYhzC42bkhJy8HI1qOMIi1mz/8AEyZAvzyi9xJiIiISEm4D+dT4P4cREREpoF/85+O8lebPebKlSsYPnw4vL29YW1tjTp16mDatGnIysrSmS8uLg69evWCra0tnJycMGbMmALznDhxAoGBgbC2tkaNGjUQFhYG9m8iIiKi8mVwm9TPnDmDvLw8fPfdd6hbty5OnjyJkSNHIiMjA/PmzQMA5Obm4oUXXkD16tVx4MAB3L59G8OGDYMQAgsWLAAApKamokuXLggKCkJUVBTOnTuH4OBg2NraYvz48XJ+RCIiIiKjYhSb1OfOnYtvv/0Wly5dAgBs374dPXv2RHx8PNzd3QEAa9euRXBwMJKTk2Fvb49vv/0WEydOxI0bN6BWqwEAs2fPxoIFC5CQkFCqK/xw9ToREZFp4N/8p2NwazgLk5KSgqpVq2qfR0ZGwtfXV1s2AaBbt27QaDQ4evQogoKCEBkZicDAQG3ZzJ9n4sSJuHLlCry9vQv8Ho1GA41Go/N7ASAxMVEfH4uIiIgUIv9vfV5ensxJDJPBF86LFy9iwYIF+Oyzz7SvJSUlwcXFRWe+KlWqwMrKCklJSdp5atWqpTNP/s8kJSUVWjjDw8MxY8aMAq+3adOmwGtERERkfOLj41GzZk25YxgcxRTO6dOnF1rmHhUVFQU/Pz/t8+vXr6N79+7o168fRowYoTNvYZvEhRA6rz8+T/7eBUVtTp84cSJCQ0O1z+/cuQNvb2+cPHkSDg4OxWY3VWlpafDx8UFsbCwqV64sdxzF4fiUjGNUMo5R8Tg+JeMYlSwlJQW+vr5o1KiR3FEMkmIKZ0hICAYOHFjsPI+ukbx+/TqCgoLg7++P77//Xmc+V1dXHD58WOe1u3fvIjs7W7sW09XVVbu2M19ycjIAFFg7mk+tVutsgs/n6ekJe3v7YrObqtTUVABAjRo1OEaF4PiUjGNUMo5R8Tg+JeMYlSx/XCwsFFOdDIpiRs3JyQlOTk6lmvfatWsICgpCq1atsGzZMpiZ6Z7dyd/fH7NmzUJiYiLc3NwAADt37oRarUarVq2080yaNAlZWVmwsrLSzuPu7l5gUzsRERERPTmDOw/n9evX0aFDB3h6emLevHm4efMmkpKSdNZWdu3aFT4+Phg6dCiio6Px559/4v3338fIkSO1/0IZPHgw1Go1goODcfLkSWzevBmffPIJQkNDS3WEOhERERGVjmLWcJbWzp07ceHCBVy4cKHAaQny98E0NzfH77//jlGjRqFdu3awtrbG4MGDtefpBAAHBwdERERg9OjR8PPzQ5UqVRAaGqqzj2ZJ1Go1pk2bVuhmdpJwjIrH8SkZx6hkHKPicXxKxjEqGcfo6RjFeTiJiIiISLkMbpM6ERERERkWFk4iIiIi0isWTiIiIiLSKxZOIiIiItIrFs4STJ8+HSqVSufm6uqqnS6EwPTp0+Hu7g5ra2t06NABp06dkjGx/u3fvx+9evWCu7s7VCoVfvnlF53ppRkTjUaDd999F05OTrC1tUXv3r2RkJBQgZ9Cv0oao+Dg4ALLVdu2bXXmMeYxCg8PR+vWrVG5cmU4Ozujb9++OHv2rM48prwclWZ8TH0Z+vbbb9G0aVPY29vD3t4e/v7+2L59u3a6KS8/+UoaI1Nfhh4XHh4OlUqF9957T/sal6Pyw8JZCo0bN0ZiYqL2duLECe20OXPmYP78+fj6668RFRUFV1dXdOnSBWlpaTIm1q+MjAw0a9YMX3/9daHTSzMm7733HjZv3oy1a9fiwIEDSE9PR8+ePZGbm1tRH0OvShojAOjevbvOcrVt2zad6cY8Rvv27cPo0aNx6NAhREREICcnB127dkVGRoZ2HlNejkozPoBpL0MeHh6YPXs2jhw5giNHjqBjx47o06ePtgyY8vKTr6QxAkx7GXpUVFQUvv/+ezRt2lTndS5H5UhQsaZNmyaaNWtW6LS8vDzh6uoqZs+erX0tMzNTODg4iEWLFlVQQnkBEJs3b9Y+L82Y3Lt3T1haWoq1a9dq57l27ZowMzMTO3bsqLDsFeXxMRJCiGHDhok+ffoU+TOmNkbJyckCgNi3b58QgsvR4x4fHyG4DBWmSpUqYvHixVx+ipE/RkJwGcqXlpYm6tWrJyIiIkRgYKAYO3asEILfQ+WNazhL4fz583B3d4e3tzcGDhyIS5cuAQAuX76MpKQkdO3aVTuvWq1GYGAgDh48KFdcWZVmTI4ePYrs7Gydedzd3eHr62tS47Z37144Ozujfv36GDlyJJKTk7XTTG2MUlJSAABVq1YFwOXocY+PTz4uQ5Lc3FysXbsWGRkZ8Pf35/JTiMfHKB+XIWD06NF44YUX0LlzZ53XuRyVL4O70lBFe+aZZ/Djjz+ifv36uHHjBmbOnImAgACcOnVKezlNFxcXnZ9xcXHB1atX5Ygru9KMSVJSEqysrFClSpUC8zx6iVJj1qNHD/Tr1w9eXl64fPkyPvroI3Ts2BFHjx6FWq02qTESQiA0NBTPPvssfH19AXA5elRh4wNwGQKAEydOwN/fH5mZmbCzs8PmzZvh4+Oj/UPP5afoMQK4DAHA2rVrcezYMURFRRWYxu+h8sXCWYIePXpoHzdp0gT+/v6oU6cOVqxYod25+vFrrwshTP567E8yJqY0bgMGDNA+9vX1hZ+fH7y8vPD777/jpZdeKvLnjHGMQkJC8O+//+LAgQMFpnE5Knp8uAwBDRo0QExMDO7du4eNGzdi2LBh2Ldvn3Y6l5+ix8jHx8fkl6H4+HiMHTsWO3fuRKVKlYqcj8tR+eAm9TKytbVFkyZNcP78ee3R6o//KyY5ObnAv4hMRWnGxNXVFVlZWbh7926R85gaNzc3eHl54fz58wBMZ4zeffddbNmyBXv27IGHh4f2dS5HkqLGpzCmuAxZWVmhbt268PPzQ3h4OJo1a4Yvv/ySy88jihqjwpjaMnT06FEkJyejVatWsLCwgIWFBfbt24evvvoKFhYW2s/I5ah8sHCWkUajwenTp+Hm5gZvb2+4uroiIiJCOz0rKwv79u1DQECAjCnlU5oxadWqFSwtLXXmSUxMxMmTJ0123G7fvo34+Hi4ubkBMP4xEkIgJCQEmzZtwu7du+Ht7a0z3dSXo5LGpzCmtgwVRggBjUZj8stPcfLHqDCmtgx16tQJJ06cQExMjPbm5+eHIUOGICYmBrVr1+ZyVJ4q+iglQzN+/Hixd+9ecenSJXHo0CHRs2dPUblyZXHlyhUhhBCzZ88WDg4OYtOmTeLEiRNi0KBBws3NTaSmpsqcXH/S0tJEdHS0iI6OFgDE/PnzRXR0tLh69aoQonRj8vbbbwsPDw+xa9cucezYMdGxY0fRrFkzkZOTI9fHKlfFjVFaWpoYP368OHjwoLh8+bLYs2eP8Pf3FzVq1DCZMXrnnXeEg4OD2Lt3r0hMTNTe7t+/r53HlJejksaHy5AQEydO/H97dx4WVdm/AfwetmFYRZFNBXEXcQVNNMMVKJc2dzN9M9OUSrH6ueVCmZVLpaVWmlq5vbm9lqaoiUuSW6Ak7oqggruAKMMyz++PE5MjOzKcM8P9ua65ZubMM2e+83Qabp9zznPEvn37xKVLl8SJEyfE5MmThYWFhYiKihJCVO3tJ19xfcRtqHCPnqUuBLejisTAWYIBAwYIT09PYW1tLby8vMRLL70kTp48qX9dp9OJ6dOnCw8PD6FWq8Uzzzwj4uPjZazY+Pbs2SMAFLgNGzZMCFG6Pnn48KEIDw8X1atXFxqNRvTq1UskJSXJ8G2Mo7g+evDggQgJCRE1a9YU1tbWwtvbWwwbNqzA9zfnPiqsbwCI5cuX69tU5e2opP7hNiTEa6+9Jnx8fISNjY2oWbOm6Natmz5sClG1t598xfURt6HCPR44uR1VHJUQQlTeeCoRERERVTU8hpOIiIiIjIqBk4iIiIiMioGTiIiIiIyKgZOIiIiIjIqBk4iIiIiMioGTiIiIiIyKgZOIiIiIjIqBk4iIiIiMioGTiIiIiIyKgZOIiIiIjIqBk4iIiIiMioGTiIiIiIyKgZOIiIiIjIqBk4iIiIiMioGTiIiIiIyKgZOIiIiIjIqBk4iIiIiMioGTiIiIiIyKgbMEixYtgq+vL2xtbREQEID9+/cX237v3r0ICAiAra0t6tWrhyVLllRSpZWjLP2xceNG9OjRAzVr1oSTkxOCgoKwY8eOSqzWuMq6beT7448/YGVlhVatWhm3wEpW1v7QarWYMmUKfHx8oFarUb9+fXz//feVVK3xlbU/Vq1ahZYtW8LOzg6enp74z3/+g9u3b1dStca1b98+9O7dG15eXlCpVNi8eXOJ7zHX39Ky9oW5/46WZ9vIZ66/peaKgbMY69atw7hx4zBlyhTExsaiU6dOePbZZ5GUlFRo+0uXLuG5555Dp06dEBsbi8mTJ+Ptt9/Ghg0bKrly4yhrf+zbtw89evTAtm3bcOzYMXTp0gW9e/dGbGxsJVde8craF/nS0tLw6quvolu3bpVUaeUoT3/0798fu3fvxrJly3DmzBmsWbMGTZo0qcSqjaes/XHgwAG8+uqrGDFiBE6ePImff/4ZR44cweuvv17JlRtHZmYmWrZsia+++qpU7c35t7SsfWHOv6NA2fsjn7n+lpo1QUVq166dGD16tMGyJk2aiIkTJxba/v333xdNmjQxWDZq1CjRvn17o9VYmcraH4Xx8/MTM2fOrOjSKl15+2LAgAFi6tSpYvr06aJly5ZGrLBylbU/fvvtN+Hs7Cxu375dGeVVurL2x5w5c0S9evUMli1YsEDUrl3baDXKBYDYtGlTsW3M/bc0X2n6ojDm8jv6uLL0h7n+lpozjnAWITs7G8eOHUNISIjB8pCQEBw8eLDQ98TExBRoHxoaiqNHjyInJ8dotVaG8vTH43Q6HTIyMlC9enVjlFhpytsXy5cvx4ULFzB9+nRjl1ipytMfW7ZsQWBgID777DPUqlULjRo1wrvvvouHDx9WRslGVZ7+6NChA65cuYJt27ZBCIHr169j/fr16NmzZ2WUrDjm/Fv6pMzld/RJmOtvqbmzkrsApbp16xby8vLg7u5usNzd3R2pqamFvic1NbXQ9rm5ubh16xY8PT2NVq+xlac/Hjdv3jxkZmaif//+xiix0pSnL86dO4eJEydi//79sLIyr//tytMfFy9exIEDB2Bra4tNmzbh1q1bGDNmDO7cuWPyx3GWpz86dOiAVatWYcCAAcjKykJubi769OmDhQsXVkbJimPOv6VPylx+R8vLnH9LzR1HOEugUqkMngshCiwrqX1hy01VWfsj35o1azBjxgysW7cObm5uxiqvUpW2L/Ly8jB48GDMnDkTjRo1qqzyKl1Ztg2dTgeVSoVVq1ahXbt2eO655zB//nysWLHCLEY5gbL1R0JCAt5++21MmzYNx44dw/bt23Hp0iWMHj26MkpVJHP/LS0Pc/wdLYuq8ltqrvjPgyK4urrC0tKywIjEjRs3CvzLO5+Hh0eh7a2srFCjRg2j1VoZytMf+datW4cRI0bg559/Rvfu3Y1ZZqUoa19kZGTg6NGjiI2NRXh4OAApcAkhYGVlhaioKHTt2rVSajeG8mwbnp6eqFWrFpydnfXLmjZtCiEErly5goYNGxq1ZmMqT3/Mnj0bHTt2xHvvvQcAaNGiBezt7dGpUyd89NFHVW5Ez5x/S8vL3H5Hy8Pcf0vNHUc4i2BjY4OAgADs3LnTYPnOnTvRoUOHQt8TFBRUoH1UVBQCAwNhbW1ttForQ3n6A5D+RT58+HCsXr3abI5HK2tfODk5IT4+HnFxcfrb6NGj0bhxY8TFxeGpp56qrNKNojzbRseOHXHt2jXcv39fv+zs2bOwsLBA7dq1jVqvsZWnPx48eAALC8OfY0tLSwD/juxVJeb8W1oe5vg7Wh7m/ltq9uQ5V8k0rF27VlhbW4tly5aJhIQEMW7cOGFvby8SExOFEEJMnDhRDB06VN/+4sWLws7OTowfP14kJCSIZcuWCWtra7F+/Xq5vkKFKmt/rF69WlhZWYmvv/5apKSk6G/37t2T6ytUmLL2xePM7czKsvZHRkaGqF27tujbt684efKk2Lt3r2jYsKF4/fXX5foKFaqs/bF8+XJhZWUlFi1aJC5cuCAOHDggAgMDRbt27eT6ChUqIyNDxMbGitjYWAFAzJ8/X8TGxorLly8LIarWb2lZ+8Kcf0eFKHt/PM7cfkvNGQNnCb7++mvh4+MjbGxsRJs2bcTevXv1rw0bNkwEBwcbtI+OjhatW7cWNjY2om7dumLx4sWVXLFxlaU/goODBYACt2HDhlV+4UZQ1m3jUeb4I1nW/jh16pTo3r270Gg0onbt2iIiIkI8ePCgkqs2nrL2x4IFC4Sfn5/QaDTC09NTDBkyRFy5cqWSqzaOPXv2FPtbUJV+S8vaF+b+O1qebeNR5vhbaq5UQlTB/TVEREREVGl4DCcRERERGRUDJxEREREZFQMnERERERkVAycRERERGRUDJxEREREZFQMnERERERkVAycRERERGVWVD5yLFi2Cr68vbG1tERAQgP3795f6vVqtFjNmzIBWqzVihaaD/WGI/WGI/fEv9oUh9och9och9od5qNITv69btw5Dhw7FokWL0LFjR3zzzTdYunQpEhIS4O3tXeL709PT4ezsjLS0NDg5OVVCxcrG/jDE/jDE/vgX+8IQ+8MQ+8MQ+8M8VOkRzvnz52PEiBF4/fXX0bRpU3zxxReoU6cOFi9eLHdpRERERGajygbO7OxsHDt2DCEhIQbLQ0JCcPDgQZmqIiIiIjI/VnIXIJdbt24hLy8P7u7uBsvd3d2Rmppa6Hu0Wq3BMSR37twBACQnJ8PZ2dl4xZqIjIwMAMDVq1eRnp4uczXyY38YYn/8i31hiP1hiP1hSCn9odPpcP36dbRu3RpWVlU2PpVble8xlUpl8FwIUWBZvtmzZ2PmzJkFlvv7+xulNlPl5+cndwmKwv4wxP74F/vCEPvDEPvDkFL64/Dhw2jbtq3cZZicKhs4XV1dYWlpWWA088aNGwVGPfNNmjQJERER+ufJycnw9/fH4cOH4enpadR6iYiISD4pKSlo165dkRmBildlA6eNjQ0CAgKwc+dOvPjii/rlO3fuxPPPP1/oe9RqNdRqtf55/m50T09P1K5d27gFExERkewsLKrs6S9PpMoGTgCIiIjA0KFDERgYiKCgIHz77bdISkrC6NGj5S6NiIiIyGxU6cA5YMAA3L59G5GRkUhJSYG/vz+2bdsGHx8fuUsjIiIiMhtVOnACwJgxYzBmzBi5yyAiIiIyWzwQgczWjRs3MGrUKHh7e0OtVsPDwwOhoaGIiYnRt1GpVNi8eXOFfF5iYiJUKhXi4uKKbRcdHQ2VSoV79+4VeK1Vq1aYMWOGvk1xtxUrVgAANmzYgM6dO8PZ2RkODg5o0aIFIiMj9dN2lcbGjRvRo0cP1KxZE05OTggKCsKOHTsKtNuwYQP8/PygVqvh5+eHTZs2Gbw+e/ZstG3bFo6OjnBzc8MLL7yAM2fO6F/PycnB//3f/6F58+awt7eHl5cXXn31VVy7dq3EGu/evYuhQ4fC2dkZzs7OGDp0aIE+fOeddxAQEAC1Wo1WrVqV+vvv3bsXAQEBsLW1Rb169bBkyRKD17/77jt06tQJLi4ucHFxQffu3XH48OES1xsfH4/g4GBoNBrUqlULkZGRKOribn/88QesrKzKVLcQAs8++2yB7bi47efIkSPFrrOk/8bAk10SmIiqJgZOMlsvv/wyjh8/jpUrV+Ls2bPYsmULOnfuXKYgVlrZ2dkVur4OHTogJSVFf+vfvz/CwsIMlg0YMABTpkzBgAED0LZtW/z222/4+++/MW/ePBw/fhw//vhjqT9v37596NGjB7Zt24Zjx46hS5cu6N27N2JjY/VtYmJiMGDAAAwdOhTHjx/H0KFD0b9/fxw6dEjfZu/evRg7diz+/PNP7Ny5E7m5uQgJCUFmZiYA4MGDB/jrr7/wwQcf4K+//sLGjRtx9uxZ9OnTp8QaBw8ejLi4OGzfvh3bt29HXFwchg4datBGCIHXXnsNAwYMKPV3v3TpEp577jl06tQJsbGxmDx5Mt5++21s2LBB3yY6OhqDBg3Cnj17EBMTA29vb4SEhODq1atFrjc9PR09evSAl5cXjhw5goULF2Lu3LmYP39+gbZpaWl49dVX0a1bt1LXDQBffPFFodO4Pb79pKSk4PXXX0fdunURGBhY5PpK89943bp1GDduHKZMmYLY2Fh06tQJzz77LJKSkspUOxFVMYLKLTk5WQAQycnJcpdCj7l7964AIKKjo4ts4+PjIwDobz4+PkIIIc6fPy/69Okj3NzchL29vQgMDBQ7d+4s8N4PP/xQDBs2TDg5OYlXX33VYF0ARHBwcKGfu2fPHgFA3L17t8BrLVu2FNOnTy+wfNiwYeL55583WHbo0CEBQHzxxRdF9sGT8PPzEzNnztQ/79+/vwgLCzNoExoaKgYOHFjkOm7cuCEAiL179xbZ5vDhwwKAuHz5cpFtEhISBADx559/6pfFxMQIAOL06dMF2k+fPl20bNmyyPU96v333xdNmjQxWDZq1CjRvn37It+Tm5srHB0dxcqVK4tss2jRIuHs7CyysrL0y2bPni28vLyETqczaDtgwAAxderUMtUdFxcnateuLVJSUgQAsWnTpiLbZmdnCzc3NxEZGVnsOkvz37hdu3Zi9OjRBm2aNGkiJk6cWKq6iUwV/+Y/GY5wkllycHCAg4MDNm/ebHB1qEfl71pcvnw5UlJS9M/v37+P5557Drt27UJsbCxCQ0PRu3fvAiM4c+bMgb+/P44dO4YPPvhAv4t1165dSElJwcaNG434DYFVq1bBwcGhyGOQq1WrBuDfXf3R0dGlXrdOp0NGRgaqV6+uXxYTE1PgUrChoaHFXgo2LS0NAAzWU1gblUqlr7cwMTExcHZ2xlNPPaVf1r59ezg7Oz/xpWiL+l5Hjx5FTk5Ooe958OABcnJyiv1eMTExCA4ONphKLTQ0FNeuXUNiYqJ+2fLly3HhwgVMnz690PXk7x5/9D0PHjzAoEGD8NVXX8HDw6PE77hlyxbcunULw4cPN1het25dzJgxw6Dm4v4b85LARFReDJxklqysrLBixQqsXLkS1apVQ8eOHTF58mScOHFC36ZmzZoApGDm4eGhf96yZUuMGjUKzZs3R8OGDfHRRx+hXr162LJli8FndO3aFe+++y4aNGiABg0a6N9fo0YNeHh4FBtGKsK5c+dQr149WFtbF9vO2toajRs3hp2dXanXPW/ePGRmZqJ///76ZampqWW6FKwQAhEREXj66aeLvBpXVlYWJk6ciMGDB8PJyanIelJTU+Hm5lZguZubW5GfX1pFfa/c3FzcunWr0PdMnDgRtWrVQvfu3cu83vzXAOm/4cSJE7Fq1aoiL5VnZ2eHxo0bG/x3Hj9+PDp06FDknMGPW7ZsGUJDQ1GnTh2D5fXr14erq2uJNefXW55LAhMRAQycZMZefvllXLt2DVu2bEFoaCiio6PRpk0b/ck2RcnMzMT7778PPz8/VKtWDQ4ODjh9+nSBEc7ijoWrDKKYy7A+qlatWjh9+jTatWtXqvWuWbMGM2bMwLp16wqEvLJcCjY8PBwnTpzAmjVrCn09JycHAwcOhE6nw6JFi/TLR48erR+hdnBwKPKzS/r8wjy63kfn2y3sexX1mZ999hnWrFmDjRs3wtbWttjPK269eXl5GDx4MGbOnIlGjRoVuY527drh9OnTqFWrFgBptPL333/HF198Uexn57ty5Qp27NiBESNGFHht9+7dCA8PL7Hmx5eVZTsgIgI4LRKZOVtbW/To0QM9evTAtGnT8Prrr2P69OkFdi0+6r333sOOHTswd+5cNGjQABqNBn379i1wYpC9vX25asofyUtLSyuwG/nevXv6K1iVpFGjRjhw4ABycnJKHOUsrXXr1mHEiBH4+eefC4zeeXh4lPpSsG+99Ra2bNmCffv2FXoVrpycHPTv3x+XLl3C77//bjC6GRkZiXfffbfAZ1+/fr3Aem7evFmmy8w9OoNA/mcW9b2srKxQo0YNg+Vz587Fxx9/jF27dqFFixbFflZR6wWkEcGMjAwcPXoUsbGx+tCn0+kghICVlRWioqLQtWvXAuv9/fffceHChQLbzssvv4xOnToVOHRi+fLlqFGjRqlOzCrpv3F5LglMRARwhJOqGD8/P/0Z04C0uzkvL8+gzf79+zF8+HC8+OKLaN68OTw8PAyOnyuKjY0NABRY3+MaNmwICwuLAtPTpKSk4OrVq2jcuHGpvsvgwYNx//59g9HBRxU27VJx1qxZg+HDh2P16tXo2bNngdeDgoKwc+dOg2VRUVHo0KGD/rkQAuHh4di4cSN+//13+Pr6FlhPftg8d+4cdu3aVSDUubm56Q9TaNCggf6z09LSDKYiOnToENLS0gw+vySPrjd/9Lao7xUYGGgQ5OfMmYMPP/wQ27dvL9XodlBQEPbt22fwD5WoqCh4eXmhbt26cHJyQnx8POLi4vS30aNHo3HjxoiLizM4XvVREydOxIkTJwzeBwCff/45li9fbtBWCIHly5fj1VdfLdU/Skr6b/zoJYEftXPnzjL9dyCiKkimk5XMAs9YU65bt26JLl26iB9//FEcP35cXLx4Ufz3v/8V7u7u4rXXXtO3a9iwoXjzzTdFSkqKuHPnjhBCiBdeeEG0atVKxMbGiri4ONG7d2/h6Ogo3nnnHf37fHx8xOeff27wmTk5OUKj0YiPPvpIpKaminv37hVZ35tvvim8vb3Fpk2bxMWLF8WBAwdEcHCwaN68ucjJySnQvrCz1IWQzrC2tLQU7733njh48KBITEwUu3btEn379tWfvX7lyhXRuHFjcejQoSLrWb16tbCyshJff/21SElJ0d8e/Q5//PGHsLS0FJ988ok4deqU+OSTT4SVlZXBmeNvvvmmcHZ2FtHR0QbrefDggb6P+vTpI2rXri3i4uIM2mi12iLrE0KIsLAw0aJFCxETEyNiYmJE8+bNRa9evQzanDt3TsTGxopRo0aJRo0aidjYWBEbG1vsui9evCjs7OzE+PHjRUJCgli2bJmwtrYW69ev17f59NNPhY2NjVi/fr1BzRkZGUWu9969e8Ld3V0MGjRIxMfHi40bNwonJycxd+7cIt9T2Fnqhw4dEo0bNxZXrlwp8n0o4iz1Xbt2CQAiISGh0Pd17dpVLFy4UP+8NP+N165dK6ytrcWyZctEQkKCGDdunLC3txeJiYlF1kdkDvg3/8kwcD4BbnzKlZWVJSZOnCjatGkjnJ2dhZ2dnWjcuLGYOnWqPvwIIcSWLVtEgwYNhJWVlX5apEuXLokuXboIjUYj6tSpI7766isRHBxcYuAUQojvvvtO1KlTR1hYWBQ5LVJ+fZGRkaJp06ZCo9EIHx8fMXz4cJGSklJo+6ICpxBCrFu3TjzzzDPC0dFR2NvbixYtWojIyEj9tEiXLl0SAMSePXuKrCc4OLjAtE4AxLBhwwza/fzzz6Jx48bC2tpaNGnSRGzYsMHg9cLWAUAsX77coJbCbsXVJ4QQt2/fFkOGDBGOjo7C0dFRDBkypMDUT0V9j0uXLhW77ujoaNG6dWthY2Mj6tatKxYvXmzw+uNTaOXfCpvC6lEnTpwQnTp1Emq1Wnh4eIgZM2YUmBLpUYUFzvxptIr7DkUFzkGDBokOHToU+T4fH58C36Gk/8ZCCPH1118LHx8fYWNjI9q0aVPstFdE5oJ/85+MSogiLntBJbpy5Qrq1KmD5OTkQo9TIyIiIvPAv/lPhsdwEhEREZFRMXASERERkVExcBIRERGRUTFwEhEREZFRMXASERERkVExcBIRERGRUTFwEhEREZFRMXASERERkVExcBIRERGRUTFwEhEREZFRMXASERERkVExcBIRERGRUTFwEhEREZFRMXASERERkVExcBIRERGRUTFwEhEREZFRMXASERERkVExcBIRERGRUTFwEhEREZFRMXASERERkVGZXeBMTEzEiBEj4OvrC41Gg/r162P69OnIzs42aKdSqQrclixZIlPVRERERObLSu4CKtrp06eh0+nwzTffoEGDBvj7778xcuRIZGZmYu7cuQZtly9fjrCwMP1zZ2fnyi6XiIiIyOyZXeAMCwszCJH16tXDmTNnsHjx4gKBs1q1avDw8KjsEomIiIiqFLPbpV6YtLQ0VK9evcDy8PBwuLq6om3btliyZAl0Ol2x69FqtUhPT9ffMjIyjFUyERERkdkwuxHOx124cAELFy7EvHnzDJZ/+OGH6NatGzQaDXbv3o0JEybg1q1bmDp1apHrmj17NmbOnGnskolIYXRCBwtVlfj3ORGRUaiEEELuIkpjxowZJYa9I0eOIDAwUP/82rVrCA4ORnBwMJYuXVrse+fNm4fIyEikpaUV2Uar1UKr1eqfX716FX5+fkhOTkbt2rVL+U2IyFREJ0Zj9K+j4e3sjaihUXKXoyj37wNNmwJWVsDp04BaLXdFRMZ15coV1KlTh3/zy8lkRjjDw8MxcODAYtvUrVtX//jatWvo0qULgoKC8O2335a4/vbt2yM9PR3Xr1+Hu7t7oW3UajXUj/yqpqenl654IjJJjjaOOHP7DG49uAUhBFQqldwlKUZ2NnDlivTY0lLeWohI+UwmcLq6usLV1bVUba9evYouXbogICAAy5cvh4VFybvCYmNjYWtri2rVqj1hpURkLvxq+sFCZYHbD28j9X4qPB095S5JMXJz/33MwElEJTGZwFla165dQ+fOneHt7Y25c+fi5s2b+tfyz0j/5ZdfkJqaiqCgIGg0GuzZswdTpkzBG2+8YTCCSURVm8Zag4bVG+LM7TOIvxHPwPmInBzp3soK4MAvEZXE7AJnVFQUzp8/j/Pnzxc4xiL/cFVra2ssWrQIERER0Ol0qFevHiIjIzF27Fg5SiYiBWvu3lwKnNfjEVI/RO5yFCN/hNPaWt46iMg0mF3gHD58OIYPH15sm8fn6iQiKkpzt+ZYn7Ae8Tfi5S5FUR4d4SQiKgnn+SAiKkZzt+YAgBPXT8hcibLk5Un3PH6TiEqDgZOIqBgt3FsAABJuJiBXl1tC66oj/zoZDJxEVBoMnERExfB18YW9tT20eVqcv3Ne7nIUIz9wlmISECIiBk4iouJYqCzQzK0ZACD+Oo/jzMfASURlwZ8KIqJiXMu4BisL6cwYnjj0LwZOIioLnl9IRPQYndBh98XdWHJsCf53+n/IE9IZMjaWNjJXphxZWdK9DbuEiEqBgZOI6B83M29iRdwKfHPsG1y4e0G//GnvpzEqYBQG+Q+SsTpluXtXuq9eXd46iMg0MHASUZWXlJaESbsnYX3CemTnZQMAnNROeLXFqxgVOAr+bv4yV6g8d+5I9y4u8tZBRKaBgZOIqrwZ0TOwOn61/nk9l3pY1mcZgn2CoeJ1GwuVlibdOzvLWwcRmQYe7k1EVd6EoAno2bCn/hjNi3cvosvKLvD5wgfv/PYO9ibuRZ4uT+YqlSV//s38k4eIiIrDEU4iqvKauTXDr4N/Rbo2Hb+d+w0bT2/E1rNbkZyejAWHF2DB4QWoaVcTzzd+Hi81fQldfbtCbaWWu2xZqf/5+tnZ8tZBRKaBgZOI6B9OaicM8B+AAf4D8DDnIXZd3IWNpzfif6f/h5sPbmJp7FIsjV0KJ7UTejXqhZeavISwBmGwt7GXu/RKl392ulYrbx1EZBoYOImICqGx1qB3497o3bg3cnrlYO/lvdh4aiM2nd6E1PupWB2/GqvjV0NjpUFYgzC889Q7CK4bLHfZlSY/cHKEk4hKg8dwEhGVwNrSGt3rdceinotwNeIqoodF66+x/jD3ITad3oQX1r0gb5GVLH+XOkc4iag0OMJJRFQKQggcunoIP534CetOrsOtB7f0rzWs3hBTn5kqY3WVz+qfvx55PJeKiEqBgZOIqBhnb5/FTyd+wur41QaTwbvZu2Fgs4F4pcUrCPQKrHLTJ+UHztxceesgItPAwElEVIT9l/ej88rO0Alp7h97a3u82PRFDGk+BN3rdddfY70qyg+cOTny1kFEpqHq/loSEZXASe0ES5UldEIHv5p+iBkRAye1k9xlKUL+rvT8+TiJiIrDk4aIiIrQ0qMlfu73M6wsrJBwMwHjt4/Xj3ZWdfknC6mr9nSkRFRKDJxERMV4vsnzWP3SalioLPB93PcI3xYOIYTcZckufzqk/OmRiIiKw8BJRFSCfs364YcXfoAKKiw+uhjjd4yv8qGTI5xEVBYMnEREpTCkxRAs7bMUAPDloS9Rb0E9vPnrm/jf6f8hQ5shc3WVLz9wcoSTiEqDJw0REZXSa61fQ54uD29vfxuJ9xKx5NgSLDm2BFYWVnja+2mE1Q9DaINQtHRvafbTJOVPh2TFvyJEVAr8qSAiKoORASMxuPlgRCdGY/v57dh+YTvO3zmP6MRoRCdGY+LuifBw8EBo/VCENQhDj3o9UMOuhtxlV7j8IwrMPFcTUQVh4CQiKiN7G3v0bNQTPRv1BACcv3MeO87vwPYL27Hn0h6k3k/FyuMrsfL4SqigQkfvjvjpxZ/gU81H5sorDgMnEZUFAycR0RNqUL0B6retj2d8nsEvZ3/B/Jj5uP3wNgBAQOBA0gEcuXbErAIn5+EkorJg4CQiKqebmTex8+JORF2IQtSFKKTcTzF4vZZjLYTWD0WvRr3wQpMX5CnSSLKypHuNRt46iMg0MHASEZVSdl42DiYfRNSFKOy4sAN/pfxl8LrGSoPgusEIrR+KkPohaOra1GxPHnr4ULq3tZW3DiIyDQycRERFEELg3J1z2HF+B6IuRmHPpT3IzMk0aNPSvSVC6ocgpH4InvZ+GrZWVSOB5QdOjnASUWkwcBIRFWJF3ArMiJ6By2mXDZa72buhR70eCK0fiu71usPT0VOmCuXFXepEVBYMnEREhVget1wfNtWWakx9Zip6NeqFFu4tYKHiNTMu/5PDq1eXtw4iMg1m+atZt25dqFQqg9vEiRMN2iQlJaF3796wt7eHq6sr3n77bWTnXxyYiKq85c8vR1ffrgAAbZ4Wa/9ei8zsTIZNSGeo79olPe7cWdZSiMhEmO0vZ2RkJFJSUvS3qVOn6l/Ly8tDz549kZmZiQMHDmDt2rXYsGEDJkyYIGPFRKQk9VzqYdfQXfjhhR/gaueKkzdP4unlT+ONX95AZnZmySswY7GxwO3bgJMT0K6d3NUQkSkw213qjo6O8PDwKPS1qKgoJCQkIDk5GV5eXgCAefPmYfjw4Zg1axacnJwqs1QiUiCd0CH+ejzuPLwDfzd/RCdGAwC+++s7NKrRCO92eFfeAmW0bZt036ULYG0tby1EZBrMNnB++umn+PDDD1GnTh3069cP7733HmxsbAAAMTEx8Pf314dNAAgNDYVWq8WxY8fQpUuXQtep1Wqh1Wr1zzMyMoz7JYio0uTp8nDi+glEJ0Zj7+W92Hd5H+5m3TVoY2dth2d8nkGfxn1kqlJ+QgBr10qPX3xR3lqIyHSYZeB855130KZNG7i4uODw4cOYNGkSLl26hKVLlwIAUlNT4e7ubvAeFxcX2NjYIDU1tcj1zp49GzNnzjRq7URUOfJ0eYhLjTMImGnaNIM2DjYOeNr7aQT7BKNz3c4I8AyAtWXVHtI7cQI4dQpQq4EXXpC7GiIyFSYTOGfMmFFi2Dty5AgCAwMxfvx4/bIWLVrAxcUFffv2xaeffooaNWoAQKGTMQship2kedKkSYiIiNA/v3r1Kvz8/Mr6VYhIBrm6XMSmxGLv5b2ITozG/qT9SNemG7RxtHFEJ59O+oDZxrMNrCxM5meyUuSPbj73HODsLG8tRGQ6TOaXNDw8HAMHDiy2Td26dQtd3r59ewDA+fPnUaNGDXh4eODQoUMGbe7evYucnJwCI5+PUqvVUKvV+ufp6elFtiUieeXk5eCvlL/0AfNA0gFkZBseBuOkdsIzPs/oA2Yrj1YMmMXQ6f4NnIMGyVsLEZkWk/lldXV1haura7neGxsbCwDw9JQmaA4KCsKsWbOQkpKiXxYVFQW1Wo2AgICKKZiIKlVOXg6OXjuqD5h/JP+B+9n3DdpUs62GTt6d0LluZwT7BKOVRytYWljKVLFp+eMPICICSEwEHByAnj3lroiITInJBM7SiomJwZ9//okuXbrA2dkZR44cwfjx49GnTx94e3sDAEJCQuDn54ehQ4dizpw5uHPnDt59912MHDmSZ6gTmYjsvGwcuXpEHzAPJh8scNlJF1sXPOPzjD5gtnBvwYBZRhcuABMnAuvXS8/t7YFFiwA7O3nrIiLTYnaBU61WY926dZg5cya0Wi18fHwwcuRIvP/++/o2lpaW2Lp1K8aMGYOOHTtCo9Fg8ODBmDt3royVE1FxsnKzcPTaUf1JPn8k/YGHuQ8N2tTQ1DAImM3dm3Oi9nK6exeYNQtYsADIyQEsLIARI4DISKCIGeeIiIpkdoGzTZs2+PPPP0ts5+3tjV9//bUSKiIyb0IIZOdl40HOA2TmZOJBzoMCt8zswpcX957HX8vV5Rb4bFc7V/3xl8E+wWjm1owBsxgPHgDXrwM3bpR8f/u2NAUSAPToAcybBzRvLm/9RGS6zC5wEtG/hBB4mPvQaCEw/6YTukr5Pm72bgYB06+mX7EzS5g7nU4aiSxNgLx+Hcgs4wWSmjUD5swBwsKAKtzNRFQBGDiJZJKnyysQBssTAosLhw9yHlTqd7K2sIa9jT3srO0K3OytC19e4muPrM9Z7Wz2ATM7G7h5s3QB8uZNILfgwG+x1GrA3R1wcyv53s2NQZOIKgYDJ1EhcnW5RguB+evT5mlLLqQC2VrZVlgQLCxUaqw0VX5S9MIIAdy/X/pd2XfvlrzOx1WrVroA6e4OODoyRBJR5WPgJJOTnZddZAgsMejlFh8C8285upxK/U5lCnulHA18PAzy7OyKk5cnHeNY2l3ZWVllW7+lJVCzZukCZM2a0qglEZGSMXCSYmRoM3At4xpS7qdI9xnS/bX7/z5OuZ9SYG5FY7JQWRhlNPDR99ha2Zr9bmJTp9UChw8D0dHS7eDBsodIO7vS78quXl06K5yIyFwwcJJRCSGQkZ1hEBj1YfL+NYNg+fgciiWxVFnqw1yxYc+qbKOBj67LxtKGYbAKKm3ArFGj9CHS3r6yvwURkXIwcFK55AfJRwOjPkz+c5//WlmCpKONI7wcveDp6AkvRy94Ofz72NNBuq9pXxP21vY8XpAqTGkCZs2aQOfO0i04GGjUCLDmJkhEVCoMnGRACIF0bXqB3doGIfKfx2U5A9pJ7aQPjJ6OnvBy8DIIlp4OnvB09ISDjYMRvx2RpDQB083t34DZuTPQpAlPtiEiKi8GzioiP0gWdozk42GyrEHy0dHH/PvHw6S9DfcnknwYMImI5MXAWQU8yHmAoGVBOHH9RKnf46x2LrAr22CEkkGSTMDdu8BnnwELFxac9JwBk4io8jBwVgFbz27Vh81Hg2RRYZJBkkxdZibw5ZdS2ExLk5YxYBIRyYeBswr4OeFnAMB7Hd7DZz0+k7kaIuPRaoHvvgM++kia/xKQrv89axbQqxcDJhGRXBg4zVxmdiZ+PfsrAKB/s/4yV0NkPFu3AuHhQGKi9LxePSAyEhg4UJpInYiI5MPAaeY2ntqIh7kP4VvNFwGeAXKXQ1ThhAC++AKYMEF67OkJfPABMGIEYGMjd3VERAQwcJq9b//6FgDwWuvXOIE5mZ3cXGDcOODrr6Xno0YB8+dLV/UhIiLlYOA0Ywk3E3Ag6QAsVZZ4rfVrcpdDVKHu35d2l2/dKh2bOWcOEBHB4zSJiJSIgdOMfXfsOwBA78a94eXoJXM1RBXn6lXpJKC4OMDWFvjpJ+Dll+WuioiIisLAaaauZVzDyuMrAQBvtHlD5mqIKk5CAhASIoVONzdgyxbgqafkroqIiIpjIXcBVLEyszMxM3omGi5siLtZd+FbzRch9UPkLouoQty6BfTsKYXNpk2BP/9k2CQiMgUc4TQTebo8/HD8B0zdMxXXMq4BAIJqB+GbXt/A0oJzwpDpy8kB+vWTpj2qXx/Yvx+oUUPuqoiIqDQYOM1AdGI0xm0fh+PXjwMAfKv54tPun6KvX1+emU5mIyJCug66gwPwv/8xbBIRmRIGThN3Jf0KevzYA7m6XDirnTH1mal4q91bUFup5S6NqML8+CPw1VfS459+Apo1k7ceIiIqGwZOE1fNtho0VhpkZGdgaZ+l6OvXV+6SiCrU6dPAm29Kj6dPB55/Xt56iIio7HjSkIlzsHHAiNYjAABL/1oqczVEFevhQ2DAACAzE+jSRbqCEBERmR4GTjPw1lNvQQUVdlzYgYSbCXKXQ1Rhxo8HTpyQpj9atYrXRCciMlUMnGagnks9PN9E2s+44NACmashqhhr1wLffCNdOeinn6RrpBMRkWli4DQTPer1AAD8cPwH6IRO5mqIyicvT5rIPTQUGDRIWjZpEtCjh7x1ERHRk+FJQ2bgf6f/h/E7xgMAutXrBhU4FRKZlps3gaVLgSVLgKQkaZlKBQweDMycKW9tRET05Bg4TdyPx3/Ef/73H+SJPLzU9CWsfmk1594kkyAEcOgQ8PXXwH//C2RnS8urVwdGjABGjwbq1ZO3RiIiqhgMnCbsq8Nf4a3f3gIADG81HN/1/g5WFvxPSsr24AGwZo0UNGNj/13eti0wdizQvz+g0chXHxERVTymExMkhMDH+z/G1D1TAQBvt3sbn4d9DgsVD8kl5bp0SZq8ffly4O5daZlaLR2rOWaMFDiJiMg8mV1CiY6OhkqlKvR25MgRfbvCXl+yZImMlZfe3st79WFzevB0fBH2BcMmKdrhw0Dz5sD8+VLY9PUFPvsMuHpVCqAMm0RE5s3sRjg7dOiAlJQUg2UffPABdu3ahcDAQIPly5cvR1hYmP65s7NzpdT4pM7cOgMACKkfghmdZ8hbDFEJzp4FevaUJm9/6ilg2jQgLAyw4L+RiIiqDLMLnDY2NvDw8NA/z8nJwZYtWxAeHl7gZJpq1aoZtDUV2jwtAMDF1kXmSoiKl5oqTXF06xYQGAjs2gU4OMhdFRERVTazH2PYsmULbt26heHDhxd4LTw8HK6urmjbti2WLFkCna74+Su1Wi3S09P1t4yMDCNVXTxtrhQ41VZqWT6fqDSys4HnngMSE4H69YGtWxk2iYiqKrMb4XzcsmXLEBoaijp16hgs//DDD9GtWzdoNBrs3r0bEyZMwK1btzB16tQi1zV79mzMVMCkgNl50vwxNhY2MldCVLQvvpDOQq9RA9ixQ7o8JRERVU0mM8I5Y8aMIk8Gyr8dPXrU4D1XrlzBjh07MGLEiALrmzp1KoKCgtCqVStMmDABkZGRmDNnTrE1TJo0CWlpafpbQoI81y3PE3kAAEsLXlialOnqVSAyUno8b540wklERFWXyYxwhoeHY+DAgcW2qVu3rsHz5cuXo0aNGujTp0+J62/fvj3S09Nx/fp1uLu7F9pGrVZDrf53N3Z6enrJhRtBnu6fwKli4CRleu896SShoCBg6FC5qyEiIrmZTOB0dXWFq6trqdsLIbB8+XK8+uqrsLa2LrF9bGwsbG1tUa1atSeosnJwhJOUbN8+aWJ3lUqad5NnoxMRkckEzrL6/fffcenSpUJ3p//yyy9ITU1FUFAQNBoN9uzZgylTpuCNN94wGMFUqoc5DwFwhJOU5/JlYNQo6fGoUUCbNvLWQ0REymC2gXPZsmXo0KEDmjZtWuA1a2trLFq0CBEREdDpdKhXrx4iIyMxduxYGSotmz+S/sCio4sAAA1rNJS5GqJ/rVkjXf88PV06Qeijj+SuiIiIlMJsA+fq1auLfC0sLMxgwndTcermKfRe0xtZuVno3ag33gh4Q+6SiJCWJl0DfdUq6XlQEPDTT9LZ6URERIAJnaVe1V3LuIawVWG4m3UX7Wu3x9q+a2FlYbb/XiATceAA0LKlFDYtLIAZM6RjOOvVk7syIiJSEiYWE3Av6x7CfgpDUloSGtVohF8G/QI7azu5y6IqLCdHmvbo448BnU66NvqqVdLoJhER0eMYOBVOCIGB6wci/kY8PBw8sH3Idrjalf5sfaKKdPs2sG4d8M03wIkT0rJhw4AFCwAnJ3lrIyIi5WLgNAGHrh4CAHza/VP4uvjKXA1VNVlZwK+/Aj/+CGzbBuTmSsurVZOCZ//+spZHREQmgMdwKpxKpcLAZtKE99vPb5e5GqoqdDrpWMyRIwEPD6BfP2DLFilstm4NzJ8PnDnDsElERKXDEU4TMKLNCCw5tgQbT23E3Yd34aJxkbskMlN5ecDs2cDSpdKcmvnq1AGGDAFeeQVo1ky++oiIyDQxcJqAAM8A1HGqg+T0ZBxMPoiejXrKXRKZqUWLgA8+kB47OgJ9+0qXpgwO5hWDiIio/Bg4TUDK/RQkpycDAFp5tJK3GDJbQgCLF0uPJ00Cpk4F7DgZAhERVQCOWZiATac2AQCCagehllMtmashc3XgAHDqlBQy/+//GDaJiKjiMHCagI2nNwIAXm76ssyVkDn75hvpftAgwNlZ3lqIiMi8MHAq3K0Ht7A3cS8A4KWmL8lcDZmrW7eA9eulx6NGyVsLERGZHwZOhYtLjUOeyIOrnSu8nb3lLofM0IULQNeugFYrTXkUGCh3RUREZG4YOBWurVdbuNi64NaDW1j791q5yyEz89tvUsCMjwfc3YFvvwVUKrmrIiIic8PAqXDOts54r8N7AIDp0dORk5cjc0VkDnQ64KOPgJ49gXv3gPbtgWPHOLpJRETGwcBpAt5+6m242bvhwt0LWBG3Qu5yyMSlpwMvvyzNtymEdMxmdDRQixMgEBGRkTBwmgB7G3tMenoSACByXySycrNkrohMVUIC8NRTwObNgI2NdEWhJUsAtVruyoiIyJwxcJqI0YGjobHS4Er6FRy9dlTucsjE5OUBc+cCbdoAp09Lo5n79wMjRshdGRERVQW80pCJOHz1MB7mPoTGSgO/mn5yl0Mm5Nw5YPhw4OBB6XlYGLBihXSSEBERUWXgCKeJWHBoAQBgaIuhqK6pLnM1ZAp0OmDBAqBlSylsOjpKu9C3bWPYJCKiysURThOQej8Vm09vBgCEtwuXtxgyGTNmAB9+KD3u1g1Ytgzw8ZG1JCIiqqI4wmkCYpJjkCfy0MK9BZq7N5e7HDIBeXnSnJoA8PHHQFQUwyYREcmHgdMExKbGAgACPANkroRMxYEDwPXrQLVqwIQJgAX/TyciIhnxz5AJyA+crT1ay1wJmYr866K/8II0/REREZGcGDhNQFxqHACgtScDJ5VMpwM2bJAe9+0rby1EREQAA6fi3cu6hyvpVwAA9VzqyVwNKZ0QwPz5QEoK4OwMdO8ud0VEREQMnIrnpHZCHac6AICx28ZCJ3QyV0RKlZUF/Oc/wHvvSc/Dw3kFISIiUgYGToWzUFng534/w8bSBptPb8asfbPkLokU6MoV4JlngJUrpROE5s37d0okIiIiuTFwmoCnaj+FRc8tAgBMj56OX8/+KnNFpCT79wMBAcCRI0D16sCOHUBEBKBSyV0ZERGRhIHTRIxoMwJjAsdAQGDIxiE4c+uM3CWRzIQAFi0CunYFbtyQrih09CiP2yQiIuVh4DQhn4d9jsY1GiNdm47Xf3ld7nJIRmfOAH36AGPHArm5wIABwB9/AL6+cldGRERUkEkGzlmzZqFDhw6ws7NDtWrVCm2TlJSE3r17w97eHq6urnj77beRnZ1t0CY+Ph7BwcHQaDSoVasWIiMjIYSohG9Qdrcf3MbQTUNx5rY0sulq5ypzRSSHu3eB8eMBf3/g118BKyvgs8+ANWsAe3u5qyMiIiqcSV5LPTs7G/369UNQUBCWLVtW4PW8vDz07NkTNWvWxIEDB3D79m0MGzYMQggsXLgQAJCeno4ePXqgS5cuOHLkCM6ePYvhw4fD3t4eEyZMqOyvVKytZ7fi9V9eR+r9VFiqLDH1mamY0mmK3GVRJcrJAb75Bpg+HbhzR1rWqxcwdy7QuLG8tREREZXEJAPnzJkzAQArVqwo9PWoqCgkJCQgOTkZXl5eAIB58+Zh+PDhmDVrFpycnLBq1SpkZWVhxYoVUKvV8Pf3x9mzZzF//nxERERApZAzLibvnozZB2YDAJq6NsUPL/6AQK9AmauiyrR7N/DWW8CpU9Jzf39prs0ePeSti4iIqLRMcpd6SWJiYuDv768PmwAQGhoKrVaLY8eO6dsEBwdD/chEhaGhobh27RoSExMru+RC3c++j08OfAIAiGgfgWNvHGPYrEJSU4EhQ6STgE6dAlxdgcWLgdhYhk0iIjItJjnCWZLU1FS4u7sbLHNxcYGNjQ1SU1P1berWrWvQJv89qamp8C3k7AutVgutVqt/npGRUcGVG7qSfgUCAk5qJ8wLnWfUzyLlyMsDvv0WmDQJSEuTpjcaO1aaV7OIQ5aJiIgUTTEjnDNmzIBKpSr2dvTo0VKvr7Bd4kIIg+WPt8k/Yaio3emzZ8+Gs7Oz/ubn51fqesoj/5KWtZ1qG/VzSDliY4EOHYAxY6Sw2aYNcPgwsHAhwyYREZkuxYxwhoeHY+DAgcW2eXxEsigeHh44dOiQwbK7d+8iJydHP4rp4eGhH+3Md+PGDQAoMDqab9KkSYiIiNA/v3r1qlFD59X0qwCAWo61jPYZpAwZGcC0acCCBYBOBzg6ArNmScHT0lLu6oiIiJ6MYgKnq6srXF0rZqqfoKAgzJo1CykpKfD09AQgnUikVqsREBCgbzN58mRkZ2fDxsZG38bLy6vIYKtWqw2O+UxPT6+QeovCEU7zp9MBq1cDEycCV6V/X6B/f+Dzz4FHDkEmIiIyaYrZpV4WSUlJiIuLQ1JSEvLy8hAXF4e4uDjcv38fABASEgI/Pz8MHToUsbGx2L17N959912MHDkSTk5OAIDBgwdDrVZj+PDh+Pvvv7Fp0yZ8/PHHijpD/WqGlEC8HJk8zI0QwPbt0i7zoUOlsFmvnrRs3TqGTSIiMi+KGeEsi2nTpmHlypX6561btwYA7NmzB507d4alpSW2bt2KMWPGoGPHjtBoNBg8eDDmzp2rf4+zszN27tyJsWPHIjAwEC4uLoiIiDDYZS63axnXAHCXurk5fBj4v/8DoqOl505O0vPx4wGNRtbSiIiIjMIkA+eKFSuKnIMzn7e3N3799ddi2zRv3hz79u2rwMoqVn7g5AineThzBpgyBdiwQXpuYyPNrzlpElCjhry1ERERGZNJBs6qIuV+CgAGTlOXkgLMnAksXSpNeaRSAcOGScu8veWujoiIyPgYOBVKJ3RIyWDgNHULF0q7yx8+lJ736gV8/DHQvLm8dREREVUmBk6FupF5A3kiDyqo4O5Q+DRNpGwnTgDvvCOdIBQUBHz6KdCpk9xVERERVT4GToXKnxLJ09ETVhb8z2SKJk2SwuZLLwHr10u70omIiKoik5wWqSpITksGANRxqiNzJVQe0dHAtm2AlRXwyScMm0REVLUxcCoUJ303XUIA778vPX7jDaBhQ3nrISIikhsDp0Ilp0sjnAycpmfdOuDIEcDBQbpcJRERUVXHwKlQdx7eAQC42lXM5T6pcvz1FzBypPT43XcBd57vRURExMCpVM5qZwBAuta412uninPhAvDss8D9+0DXrtL10YmIiIiBU7Gqa6oD+Hekk5Ttxg0gLEy6b9kS2LQJUKvlroqIiEgZGDgVKj9w3si8IXMlVJIjR4CnngLOnwfq1gV++026PjoRERFJGDgVyt/NHwBw+OphCCFkroYKIwTw9dfA008DiYlAvXpAVBTg6Sl3ZURERMrCwKlQbWu1hY2lDa5nXsf5O+flLocek54ODBwIhIcD2dnAiy9KJwxxCiQiIqKCGDgVytbKFu1qtQMAHEg6IHM19Kjjx4HAQOC//5Umdv/8c2DDBsDZWe7KiIiIlImBU8GervM0AGB/0n6ZK6F8338PtG8PnDsH1K4N7NsHjBvHKwkREREVh4FTwTr5dALAwKkUhw4BI0YAWVnS9EexsUBQkNxVERERKR8Dp4J1qNMBKqhw/s55pN5PlbucKm/zZum+d2/g118BV87JT0REVCoMnApWzbYamrs3BwD8kfSHzNVQVJR0368fYMH/c4iIiEqNfzYVLv84Tp44JK+bN6Wz0AGgRw95ayEiIjI1DJwK97T3P4EzmYFTTjt3SvctWwIeHvLWQkREZGoYOBXuqdpPAQBiU2KRk5cjczVV16+/SvehofLWQUREZIoYOBXu3O1zAAAPBw9YWVjJXE3VdOcOsHGj9Pjll+WthYiIyBQxcCrcjgs7AACh9UOh4mSPsvjxR0CrBVq1Atq2lbsaIiIi08PAqXBRF6RTo8MahMlcSdUkBPDtt9LjN97gBO9ERETlwcCpYEIInL51GgDQvnZ7maupmv74A0hIAOzsgMGD5a6GiIjINDFwKliaNg15Ig8AUNO+pszVVC3HjkkjmmH/DCwPGsRrpRMREZUXz0JRsNsPbgMA7K3tYWtlK3M15i8zE1izBvjmG+Do0X+X+/sDH3wgX11ERESmjoFTwW4/lAJnDbsaMldi3k6ckELmTz8B6enSMhsb6Yz00aOBTp147CYREdGTYOBUsPwRzuqa6jJXYr7+8x9gxYp/nzdoIO1KHz4cqMmjGIiIiCoEA6eCudm7AQBO3jiJy/cuw6eaj8wVmZe7d4GVK6XHfftKo5lduvA66URERBWNf1oVLMArAF19uyJHl4MP930odzlm58ABadqjxo2Bn38GunVj2CQiIjIGk/zzOmvWLHTo0AF2dnaoVq1agdePHz+OQYMGoU6dOtBoNGjatCm+/PJLgzaJiYlQqVQFbtu3b6+kb1E6s7rOAgCsiFuhv+oQVYx9+6T7Z56Rtw4iIiJzZ5KBMzs7G/369cObb75Z6OvHjh1DzZo18dNPP+HkyZOYMmUKJk2ahK+++qpA2127diElJUV/69q1q7HLL5P2tdujV6NeyBN5mB49Xe5yzMrevdI9AycREZFxqYQQQu4iymvFihUYN24c7t27V2LbsWPH4tSpU/j9998BSCOcvr6+iI2NRatWrcr1+VeuXEGdOnWQnJyM2rVrl2sdpRGXGofW37SGCiqcHHMSTWs2NdpnVRXp6UD16kBeHpCUBNSpI3dFRESkZJX1N99cmeQIZ3mkpaWhevWCZ3v36dMHbm5u6NixI9avXy9DZSWrrqkOG0sbCAjcfHBT7nLMwooVUths0oRhk4iIyNiqxFnqMTEx+O9//4utW7fqlzk4OGD+/Pno2LEjLCwssGXLFgwYMAArV67EK6+8Uuh6tFottFqt/nlGRobRaweAKb9PQXZeNjrX7YxO3p0q5TPNWU4OMG+e9HjcOFlLISIiqhIUM8I5Y8aMQk/iefR29NHLv5TSyZMn8fzzz2PatGno0aOHfrmrqyvGjx+Pdu3aITAwEJGRkRgzZgw+++yzItc1e/ZsODs7629+fn7l+q5lcezaMfx04icAwNwec6HiDORP7Oefpd3oNWsCr74qdzVERETmTzEjnOHh4Rg4cGCxberWrVumdSYkJKBr164YOXIkpk6dWmL79u3bY+nSpUW+PmnSJEREROifX7161aihUwiBd3e+CwB4pcUrCPAKMNpnVRVCAPn/pnj7bUCjkbceIiKiqkAxgdPV1RWurq4Vtr6TJ0+ia9euGDZsGGbNmlWq98TGxsLT07PI19VqNdRqtf55ev51EI1k18VdiE6Mhq2VrX56JCq/nBxgzhzg+HHAzg4YM0buioiIiKoGxQTOskhKSsKdO3eQlJSEvLw8xMXFAQAaNGgABwcHnDx5El26dEFISAgiIiKQmpoKALC0tETNf65XuHLlSlhbW6N169awsLDAL7/8ggULFuDTTz+V62sVcC3jGgDA29kbdZx4ZsuTiIqSjtc8dUp6/vbb0lnqREREZHwmGTinTZuGlfnXJATQunVrAMCePXvQuXNn/Pzzz7h58yZWrVqFVatW6dv5+PggMTFR//yjjz7C5cuXYWlpiUaNGuH7778v8oQhObzQ5AU4/OaAs7fPYufFnQipHyJ3SSbnwgUgIgLYskV67uoKfPwx8Npr8tZFRERUlZj0PJxyq4w5ud757R0sOLwAYQ3C8NuQ34zyGeYoI0MKlvPnA9nZgJUVEB4OTJ8OFHJxKiIiomJxHs4no5iz1Klwbz31FgBg+/nteJDzQOZqlE+nA378Ubo++iefSGEzJAQ4cQL4/HOGTSIiIjmY5C71qsTL0Uv/WCd0MlaifNevA/36Afv3S8/r15dGOHv3BjibFBERkXwYOBUuT5enf2ypspSxEmU7eRLo2RO4fBmwtwemTgXGjwcemVSAiIiIZMLAqXB54pHAacHAWZhdu4CXX5auj96gAbBtG9CwodxVERERUT4ew6lwHOEs3o8/As8+K4XNTp2AP/9k2CQiIlIaBk6Fe3SE00LF/1yPyssD3nwTyM0FhgwBdu4EatSQuyoiIiJ6HHepK1z+CKeFyoLXUX9MSgqQmSlNebRyJWDJAWAiIiJF4pCZwuWPcHJ3ekFJSdJ9rVoMm0RERErGwKlw+SOcPGGooORk6b4Or/pJRESkaAycCscRzqLlB05vb3nrICIiouIxcCrcweSDAAB7G3uZK1Gev/+W7hk4iYiIlI2BU8Gupl/FW79Jl7YcEzhG5mqUJTsb2LJFehwSIm8tREREVDwGToUSQuC1La/hXtY9BHoFYnKnyXKXpCi7dwN37wLu7sAzz8hdDRERERWHgVOhFh9djKgLUbC1ssWPL/4Ia0truUtSlHXrpPu+fXmGOhERkdIxcCrQudvn8G7UuwCAT7t/iiauTWSuSFmysoDNm6XHAwbIWgoRERGVAgOnAn184GM8zH2Ibr7dEN4uXO5yFOXSJaBzZyAtDfDyAjp2lLsiIiIiKgkDp8IIIbDj/A4AwKSnJ/Fylo/4+WegVSvg0CGgWjVgxQrAgt1DRESkePxzrTAnb55Eyv0U2FrZoqM3h+8A4MEDYNQooH9/ID0d6NABiIsDevSQuzIiIiIqDQZOhdl5YScAINgnGLZWtjJXI7+TJ4F27YBvvwVUKmDyZCA6GvDxkbsyIiIiKi0ruQsgQ1EXowAAIfU5ueTy5cDYscDDh9L0Rz/+yFFNIiIiU8QRToU5nnocANCsZjOZK5HXrFnAa69JYTMkBDh+nGGTiIjIVDFwKkxX364AgO/jvpe5EnkIAUyZAkydKj2fOhX47TdphJOIiIhMEwOnwrzf8X0AwPqE9Th/57zM1VQuIYDx44GPP5aez5kDfPghz0QnIiIydfxTrjAt3FvguYbPQSd0mHtwrtzlVBqdDhg9GvjyS+n5118D774rb01ERERUMRg4Fej/Ov4fAGBF3Aqk3k+VuRrjy8sDhg+XzkS3sJBOFhozRu6qiIiIqKIwcCpQJ+9OaF+7PbR5WqyJXyN3OUb3ySfSGehWVsDq1VL4JCIiIvPBwKlAKpUK3X27AwDO3D4jczXGFRcHzJwpPf7uO14bnYiIyBwxcCpU/er1AQAX7l6QuRLj0WqBV18FcnKAF18Ehg2TuyIiIiIyBgZOharvIgVOcz5TfeZMID4eqFkTWLJEupIQERERmR8GToVq7NoYAHD53mU8yHkgczUVLyYG+PRT6fE33wBubvLWQ0RERMbDwKlQbvZucLVzhYDA6Vun5S6nQmVmSrvSdTpg6FBpdzoRERGZL5MMnLNmzUKHDh1gZ2eHatWqFdpGpVIVuC1ZssSgTXx8PIKDg6HRaFCrVi1ERkZCCFEJ36B0/Gr6AQBO3jgpcyUV6//+Dzh/HqhVC1iwQO5qiIiIyNis5C6gPLKzs9GvXz8EBQVh2bJlRbZbvnw5wsLC9M+dnZ31j9PT09GjRw906dIFR44cwdmzZzF8+HDY29tjwoQJRq2/tJrVbIZ9l/fh5E3zCZy7dkmTugPA998DRfx7gYiIiMyISQbOmf/Mo7NixYpi21WrVg0eHh6FvrZq1SpkZWVhxYoVUKvV8Pf3x9mzZzF//nxERERApYAzWHycfQAAp26dkrmSipGdDYwYIT1+800gJETeeoiIiKhymOQu9dIKDw+Hq6sr2rZtiyVLlkCn0+lfi4mJQXBwMNRqtX5ZaGgorl27hsTERBmqNZR6PxWf//k5AMDP1U/mairG+vVAUhLg6Ql89pnc1RAREVFlMckRztL48MMP0a1bN2g0GuzevRsTJkzArVu3MHXqVABAamoq6tata/Aed3d3/Wu+vr4F1qnVaqHVavXPMzIyjFJ7ni4PgzcMxvXM62ju1hzTgqcZ5XMq21dfSfdvvgk4OMhbCxEREVUexYxwzpgxo9ATfR69HT16tNTrmzp1KoKCgtCqVStMmDABkZGRmDNnjkGbx3eb558wVNTu9NmzZ8PZ2Vl/8/MzzsjjzL0zsSdxDxxsHPBzv5+hsdYY5XMq07Fj0lRI1tbAyJFyV0NERESVSTEjnOHh4Rg4cGCxbR4fkSyL9u3bIz09HdevX4e7uzs8PDyQmppq0ObGjRsA/h3pfNykSZMQERGhf3716tUKD51RF6Lw0b6PAADf9vpWPx+nqcs/UahfP6CIw2qJiIjITCkmcLq6usLV1dVo64+NjYWtra1+GqWgoCBMnjwZ2dnZsLGxAQBERUXBy8uryGCrVqsNjvlMT0+v0Bq1uVq8uulVCAiMChiFQc0HVej65XLvHrB6tfQ4PFzWUoiIiEgGigmcZZGUlIQ7d+4gKSkJeXl5iIuLAwA0aNAADg4O+OWXX5CamoqgoCBoNBrs2bMHU6ZMwRtvvKEPjIMHD8bMmTMxfPhwTJ48GefOncPHH3+MadOmyXaGenJ6Mq5nXoedtR0+D/1clhqM4ehR6brpvr5A+/ZyV0NERESVzSQD57Rp07By5Ur989atWwMA9uzZg86dO8Pa2hqLFi1CREQEdDod6tWrh8jISIwdO1b/HmdnZ+zcuRNjx45FYGAgXFxcEBERYbDLvLKlZaUBAKprqpvFcZv5TpyQ7lu35vXSiYiIqiKTDJwrVqwodg7OsLAwgwnfi9K8eXPs27evAit7Mvey7gEAqtlWk7WOipYfOFu0kLcOIiIikodizlKnfwOns9q5+IYmhoGTiIioamPgVJA0rbRLPUeXo6hruj+J3Fzg5D9X5mzZUt5aiIiISB4MnArS2qM1LFQWOHz1MN7b+Z5ZhM4LF6RLWtrZAU8wqxURERGZMAZOBWnt2Rrf9f4OADAvZp5+Pk5TlpAg3TdtClhwayMiIqqSGAEU5rXWr+mnRJoWPQ1f/vmlzBU9mVOnpPumTeWtg4iIiOTDwKlA49qPw8zOM6XHO8bh+9jvZa6o/PJHOI10FVAiIiIyAQycCvXBMx8gor00J+jIX0bizyt/ylxR2QkB/DMnP0c4iYiIqjAGToVSqVSYGzIXDas3hE7ocCX9itwlldnatdIZ6ra2vMIQERFRVcbAqWC5ulwkpSUBkM5gNyVpaUD+RZumTAE8POSth4iIiOTDwKlgp26dgjZPCye1E3xdfOUup0ymTwdSU4GGDYH33pO7GiIiIpITA6eC3ci8AQCwt7aXuZKy0emA7/85z+nLLwG1Wt56iIiISF4MnArWsU5HOKudkXI/BXsT98pdTqmdPw9kZEjHbvboIXc1REREJDcGTgXTWGswoNkAAMCK4yvkLaYM/vpLum/ZErCykrcWIiIikh8Dp8INbzUcALAhYQPuZ9+Xt5hSio2V7tu0kbcOIiIiUgYGToVrX7s9GlZviMycTGxI2CB3OaWSP8LZ2rROrCciIiIjYeBUOJVKhba12gIA/r7xt8zVlEyIf0c4GTiJiIgIYOBUvHtZ97D59GYAQO/GveUtphSuXgVu3wYsLQF/f7mrISIiIiVg4FS4FXEr8CDnAfzd/NHJu5Pc5ZTo+HHpvmlT6Sx1IiIiIgZOBdMJHRYdWQQAGNt2LFQqlcwVlSz/2uktW8paBhERESkIA6eC7bywE+funIOT2gmvtHhF7nJKJT9wtmolZxVERESkJAycCnb02lH947jUOPkKKYMTJ6R7jnASERFRPgZOBRvTdgyCagchXZuO7j90x8ZTG+UuqVhZWdJVhgCeMERERET/YuBUMBeNC3a9ugt9GveBNk+Lvv/tqz+mU4nOnJGuo16tGuDhIXc1REREpBQMnApnZ22HDf03YFTAKAgIjN02FpN3T4YQQu7SCjh5Urpv1gwwgfObiIiIqJIwcJoAKwsrLO65GB92+RAAMPvAbIz6dZTMVRWUkCDdN2smbx1ERESkLAycJkKlUmFKpykIqR8CAPg+9ntkaDNkrspQ/hycDJxERET0KAZOE6ETOozdNhZRF6IAALO7zYaj2lHmqv4lBPDnn9Ljp56StxYiIiJSFiu5C6CS5eTlYNjmYVjz9xqooMKSXkvwRsAbcpdl4Px54NYtQK3mNdSJiIjIEAOnwj3IeYD+P/fH1nNbYWVhhZ9e/AkD/AfIXVYBBw9K9wEBgI2NvLUQERGRsjBwKlhWbhaeXfUs9l3eB42VBhv6b8CzDZ+Vu6xCxcRI9x06yFsHERERKQ8Dp4Ltv7wf+y7vg7WFNaKGRuFp76flLqlIp05J99ydTkRERI8zyZOGZs2ahQ4dOsDOzg7VqlUr8PqKFSugUqkKvd24cQMAkJiYWOjr27dvr+RvU7QW7i0AADm6HDRxbSJzNcVTq6V7nU7eOoiIiEh5TDJwZmdno1+/fnjzzTcLfX3AgAFISUkxuIWGhiI4OBhubm4GbXft2mXQrmvXrpXxFUrF3cEd/m7SNSKjE6PlLaYE9vbS/f378tZBREREymOSu9RnzpwJQBrJLIxGo4FGo9E/v3nzJn7//XcsW7asQNsaNWrAQ8HXYexatyv+vvE39ibuRV+/vnKXUyghgNu3pcdZWfLWQkRERMpjkiOcZfXDDz/Azs4OffsWDGx9+vSBm5sbOnbsiPXr1xe7Hq1Wi/T0dP0tI8P4E683dm0MALiacdXon1VeX3wB7N8PWFsD3bvLXQ0REREpTZUInN9//z0GDx5sMOrp4OCA+fPnY/369di2bRu6deuGAQMG4KeffipyPbNnz4azs7P+5ufnZ/Taa2hqAADuPLxj9M8qj5gY4P33pcfz5wP+/vLWQ0RERMqjmMA5Y8aMIk/0yb8dPXq0zOuNiYlBQkICRowYYbDc1dUV48ePR7t27RAYGIjIyEiMGTMGn332WZHrmjRpEtLS0vS3hPyLhxtRdU11AMoMnLduAf37A7m50v3YsXJXREREREqkmGM4w8PDMXDgwGLb1K1bt8zrXbp0KVq1aoWAgIAS27Zv3x5Lly4t8nW1Wg11/unYANLT08tcT1nVsFPmCKdOB7zyCnDlCtCoEbB0KaBSyV0VERERKZFiAqerqytcXV0rdJ3379/Hf//7X8yePbtU7WNjY+Hp6VmhNTwpRxvpeul3s+7KXImhNWuAHTsAjQZYvx5wVM5l3YmIiEhhFBM4yyIpKQl37txBUlIS8vLyEBcXBwBo0KABHBwc9O3WrVuH3NxcDBkypMA6Vq5cCWtra7Ru3RoWFhb45ZdfsGDBAnz66aeV9TVK5ci1IwCA+i71Za7E0L590v3YsUDz5vLWQkRERMpmkoFz2rRpWLlypf55638ub7Nnzx507txZv3zZsmV46aWX4OLiUuh6PvroI1y+fBmWlpZo1KgRvv/+e7zyyitGrb2sfj37KwCgV6NeMldiKDZWum/bVt46iIiISPlUQgghdxGm6sqVK6hTpw6Sk5NRu3btCl9/ri4XNefUxL2sezjwnwPo6N2xwj+jPHJzpV3oWVnAuXNAgwZyV0RERGRcxv6bb+4Uc5Y6FRSTHIN7WfdQXVMd7Wu3l7scvdOnpbDp6AjUqyd3NURERKR0DJwKtuPCDgDAsw2ehaWFpczV/OuIdFgpWrUCLLgFERERUQkYFxRMm6sFALjbu8tciaFNm6T7Rw6XJSIiIioSA6eC6efgzFLOHJz37gHbt0uPBwyQtRQiIiIyEQycCqbEqwxt3gzk5ADNmkk3IiIiopIwcCqYEgPnunXSPUc3iYiIqLQYOBXMztoOAHD3oTKuMnT9OrBrl/SYgZOIiIhKi4FTwTaf3gwA8Hfzl7eQf3z5pTQHZ1CQdP10IiIiotJg4FSoe1n3sCp+FQBgTNsxMlcDZGQAixZJj99/X95aiIiIyLQwcCrUirgVeJDzAP5u/ujk3UnucvDtt0BaGtC4MdCnj9zVEBERkSlh4FQgndBh0RFpOHFs27FQqVSy1pOdDXz+ufT4vfc42TsRERGVDaODAsUkx+DcnXOwUFmgf7P+cpeD9euBq1cBT0/glVfkroaIiIhMDQOnAtVxrgNHG0fohA7vRb0HIYSs9WzdKt3/5z+AWi1rKURERGSCGDgVyNvZG+v6roOFygLfx32PeTHzZKtFpwN27pQeh4bKVgYRERGZMAZOhXq24bOYHzIfAPD+zvex5cwWWeo4cQK4eROwtwfat5elBCIiIjJxDJwK9vZTb2N0wGgICAzeMBjHU49Xeg35o5udOwM2NpX+8URERGQGGDgVTKVSYcGzC9DNtxsyczIxZOOQSq/h99+l+x49Kv2jiYiIyEwwcCqctaU1GtdoDODfa6vLwc5Oto8mIiIiE8fAqXAX717Et399CwCI7BJZ6Z/fWMq6OHu20j+aiIiIzAQDp8JNj56OXF0uQuqHoHPdzpX++fnXTGfgJCIiovJi4FSw+OvxWHVCup76x10/lqUGBk4iIiJ6UgycCrbg0AIICLzc9GUEeAXIUkODBtL9hQvSnJxEREREZcXAqWBqK+myPpYWlrLVkJQk3bu4ADJf0p2IiIhMFAOngr3e5nUAwMZTG5F6P1WWGvKnReralYGTiIiIyoeBU8FaebRC+9rtkavLxbK/lslSw6OBk4iIiKg8GDgV7s3ANwEA3/71LfJ0eZX62ZmZwJ9/So8ZOImIiKi8GDgVrn+z/qiuqY6ktCREXYiq1M8+eBDIyQG8vYF69Sr1o4mIiMiMMHAqnK2VLV5o/AIA4EDSgUr97Ph46f6pp3j8JhEREZUfA6cJCPQKBADEpsZW6ufmz72Zf7UhIiIiovJg4DQBrT1bAwCOpRyDEKLSPjc/cOZP/k5ERERUHgycJqCFewtYqCxwI/MGUu6nVNrnMnASERFRRTC5wJmYmIgRI0bA19cXGo0G9evXx/Tp05GdnW3QLikpCb1794a9vT1cXV3x9ttvF2gTHx+P4OBgaDQa1KpVC5GRkZU6glhadtZ2aOraFABw6MqhSvnMBw+Aq1elx/XrV8pHEhERkZkyucB5+vRp6HQ6fPPNNzh58iQ+//xzLFmyBJMnT9a3ycvLQ8+ePZGZmYkDBw5g7dq12LBhAyZMmKBvk56ejh49esDLywtHjhzBwoULMXfuXMyfP1+Or1WikPohAIBFRxdVyuep1YCrq/T4UOVkXCIiIjJTKqHEIb0ymjNnDhYvXoyLFy8CAH777Tf06tULycnJ8PLyAgCsXbsWw4cPx40bN+Dk5ITFixdj0qRJuH79OtRq6RKSn3zyCRYuXIgrV65AVYrTsq9cuYI6deogOTkZtWvXNt4XBHD53mXUX1AfeSIPR0cerZRrq0+YAMyfDzz/PLB5s9E/joiISLEq82++ObKSu4CKkJaWhurVq+ufx8TEwN/fXx82ASA0NBRarRbHjh1Dly5dEBMTg+DgYH3YzG8zadIkJCYmwtfXt8DnaLVaaLVag88FgJQU4x9XaQlLvOD9Ajac2YDp26ZjSdgSo39mr15S4NyyBfjrL8DNzegfSUREpEj5f+t1Op3MlZgmkw+cFy5cwMKFCzFv3jz9stTUVLi7uxu0c3FxgY2NDVJTU/Vt6tata9Am/z2pqamFBs7Zs2dj5syZBZa3a9fuSb9GmWzFVtRBnUr7PCGAAOMPqBIRESlecnIyvL295S7D5CgmcM6YMaPQMPeoI0eOIDAwUP/82rVrCAsLQ79+/fD6668btC1sl7gQwmD5423yjy4oanf6pEmTEBERoX9+584d+Pr64u+//4azs3OxtVdVGRkZ8PPzQ0JCAhwdHeUuR3HYPyVjH5WMfVQ89k/J2EclS0tLg7+/P5o2bSp3KSZJMYEzPDwcAwcOLLbNoyOS165dQ5cuXRAUFIRvv/3WoJ2HhwcOPXamy927d5GTk6MfxfTw8NCPdua7ceMGABQYHc2nVqsNdsHnq1OnDpycnIqtvapKT08HANSqVYt9VAj2T8nYRyVjHxWP/VMy9lHJ8vvFykox0cmkKKbXXF1d4Zp/WnQJrl69ii5duiAgIADLly+HhYXhyfZBQUGYNWsWUlJS4OnpCQCIioqCWq1GwD/7hoOCgjB58mRkZ2fDxsZG38bLy6vArnYiIiIiKj+Tmxbp2rVr6Ny5M+rUqYO5c+fi5s2bSE1NNRitDAkJgZ+fH4YOHYrY2Fjs3r0b7777LkaOHKn/F8rgwYOhVqsxfPhw/P3339i0aRM+/vhjRERElOoMdSIiIiIqHcWMcJZWVFQUzp8/j/PnzxeYliD/GExLS0ts3boVY8aMQceOHaHRaDB48GDMnTtX39bZ2Rk7d+7E2LFjERgYCBcXF0RERBgco1kStVqN6dOnF7qbnSTso+Kxf0rGPioZ+6h47J+SsY9Kxj56MmYxDycRERERKZfJ7VInIiIiItPCwElERERERsXASURERERGxcBJREREREbFwFmCGTNmQKVSGdw8PDz0rwshMGPGDHh5eUGj0aBz5844efKkjBUb3759+9C7d294eXlBpVJh8+bNBq+Xpk+0Wi3eeustuLq6wt7eHn369MGVK1cq8VsYV0l9NHz48ALbVfv27Q3amHMfzZ49G23btoWjoyPc3Nzwwgsv4MyZMwZtqvJ2VJr+qerb0OLFi9GiRQs4OTnByckJQUFB+O233/SvV+XtJ19JfVTVt6HHzZ49GyqVCuPGjdMv43ZUcRg4S6FZs2ZISUnR3+Lj4/WvffbZZ5g/fz6++uorHDlyBB4eHujRowcyMjJkrNi4MjMz0bJlS3z11VeFvl6aPhk3bhw2bdqEtWvX4sCBA7h//z569eqFvLy8yvoaRlVSHwFAWFiYwXa1bds2g9fNuY/27t2LsWPH4s8//8TOnTuRm5uLkJAQZGZm6ttU5e2oNP0DVO1tqHbt2vjkk09w9OhRHD16FF27dsXzzz+vDwNVefvJV1IfAVV7G3rUkSNH8O2336JFixYGy7kdVSBBxZo+fbpo2bJloa/pdDrh4eEhPvnkE/2yrKws4ezsLJYsWVJJFcoLgNi0aZP+eWn65N69e8La2lqsXbtW3+bq1avCwsJCbN++vdJqryyP95EQQgwbNkw8//zzRb6nqvXRjRs3BACxd+9eIQS3o8c93j9CcBsqjIuLi1i6dCm3n2Lk95EQ3IbyZWRkiIYNG4qdO3eK4OBg8c477wgh+DtU0TjCWQrnzp2Dl5cXfH19MXDgQFy8eBEAcOnSJaSmpiIkJETfVq1WIzg4GAcPHpSrXFmVpk+OHTuGnJwcgzZeXl7w9/evUv0WHR0NNzc3NGrUCCNHjsSNGzf0r1W1PkpLSwMAVK9eHQC3o8c93j/5uA1J8vLysHbtWmRmZiIoKIjbTyEe76N83IaAsWPHomfPnujevbvBcm5HFcvkrjRU2Z566in88MMPaNSoEa5fv46PPvoIHTp0wMmTJ/WX03R3dzd4j7u7Oy5fvixHubIrTZ+kpqbCxsYGLi4uBdo8eolSc/bss8+iX79+8PHxwaVLl/DBBx+ga9euOHbsGNRqdZXqIyEEIiIi8PTTT8Pf3x8At6NHFdY/ALchAIiPj0dQUBCysrLg4OCATZs2wc/PT/+HnttP0X0EcBsCgLVr1+Kvv/7CkSNHCrzG36GKxcBZgmeffVb/uHnz5ggKCkL9+vWxcuVK/cHVj197XQhR5a/HXp4+qUr9NmDAAP1jf39/BAYGwsfHB1u3bsVLL71U5PvMsY/Cw8Nx4sQJHDhwoMBr3I6K7h9uQ0Djxo0RFxeHe/fuYcOGDRg2bBj27t2rf53bT9F95OfnV+W3oeTkZLzzzjuIioqCra1tke24HVUM7lIvI3t7ezRv3hznzp3Tn63++L9ibty4UeBfRFVFafrEw8MD2dnZuHv3bpFtqhpPT0/4+Pjg3LlzAKpOH7311lvYsmUL9uzZg9q1a+uXczuSFNU/hamK25CNjQ0aNGiAwMBAzJ49Gy1btsSXX37J7ecRRfVRYaraNnTs2DHcuHEDAQEBsLKygpWVFfbu3YsFCxbAyspK/x25HVUMBs4y0mq1OHXqFDw9PeHr6wsPDw/s3LlT/3p2djb27t2LDh06yFilfErTJwEBAbC2tjZok5KSgr///rvK9tvt27eRnJwMT09PAObfR0IIhIeHY+PGjfj999/h6+tr8HpV345K6p/CVLVtqDBCCGi12iq//RQnv48KU9W2oW7duiE+Ph5xcXH6W2BgIIYMGYK4uDjUq1eP21FFquyzlEzNhAkTRHR0tLh48aL4888/Ra9evYSjo6NITEwUQgjxySefCGdnZ7Fx40YRHx8vBg0aJDw9PUV6errMlRtPRkaGiI2NFbGxsQKAmD9/voiNjRWXL18WQpSuT0aPHi1q164tdu3aJf766y/RtWtX0bJlS5GbmyvX16pQxfVRRkaGmDBhgjh48KC4dOmS2LNnjwgKChK1atWqMn305ptvCmdnZxEdHS1SUlL0twcPHujbVOXtqKT+4TYkxKRJk8S+ffvEpUuXxIkTJ8TkyZOFhYWFiIqKEkJU7e0nX3F9xG2ocI+epS4Et6OKxMBZggEDBghPT09hbW0tvLy8xEsvvSROnjypf12n04np06cLDw8PoVarxTPPPCPi4+NlrNj49uzZIwAUuA0bNkwIUbo+efjwoQgPDxfVq1cXGo1G9OrVSyQlJcnwbYyjuD568OCBCAkJETVr1hTW1tbC29tbDBs2rMD3N+c+KqxvAIjly5fr21Tl7aik/uE2JMRrr70mfHx8hI2NjahZs6bo1q2bPmwKUbW3n3zF9RG3ocI9Hji5HVUclRBCVN54KhERERFVNTyGk4iIiIiMioGTiIiIiIyKgZOIiIiIjIqBk4iIiIiMioGTiIiIiIyKgZOIiIiIjIqBk4iIiIiMioGTiIiIiIyKgZOIiIiIjIqBk4iIiIiMioGTiIiIiIyKgZOIiIiIjOr/AStJQk3G9+HKAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# dissolved oxygen and chlorophyll-a\n", - "fig,axs = ChartTwoSensors(profiles, [ranges['do'], ranges['chlora']], profile_list, \n", - " d['do'][0], d['do'][1], 'Dissolved Oxygen', colors['do'], 'ascent',\n", - " d['chlora'][0], d['chlora'][1], 'Chlorophyll-A', colors['chlora'], 'ascent', 6, 4)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "1003765c-b69f-4bb0-a67a-ff959ec56197", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Attempting 12 charts\n", - "\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# fdom and backscatter\n", - "fig,axs = ChartTwoSensors(profiles, [ranges['fdom'], ranges['bb']], profile_list, \n", - " d['fdom'][0], d['fdom'][1], 'FDOM', colors['do'], 'ascent',\n", - " d['bb'][0], d['bb'][1], 'Backscatter', colors['chlora'], 'ascent', 6, 4)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "9ce31097-51b2-48d4-8692-bf69b13fa6ae", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Attempting 3 charts\n", - "\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# pH and pCO2\n", - "# Notice that pH and pCO2 are measured only on midnight and noon *descents*\n", - "# Profile 3 is the first midnight profile, 8 the first noon (but labels need fixing)\n", - "fig,axs = ChartTwoSensors(profiles, [ranges['ph'], ranges['pco2']], [3, 8, 12],\n", - " d['ph'][0], d['ph'][1], 'pH', colors['ph'], 'descent',\n", - " d['pco2'][0], d['pco2'][1], 'pCO2', colors['pco2'], 'descent', 6, 4)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "43af628f-3df3-4771-a105-440816f63949", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Attempting 2 charts\n", - "\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Two good representatives of noon spectral irradiance\n", - "fig,axs = ChartTwoSensors(profiles, [ranges['spkir412nm'], ranges['spkir555nm']], [8, 80],\n", - " d['spkir412nm'][0], d['spkir412nm'][1], '412nm', colors['spkir412nm'], 'ascent',\n", - " d['spkir555nm'][0], d['spkir555nm'][1], '555nm', colors['spkir555nm'], 'ascent', 6, 4)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "8ac0e077-f1fe-413a-873f-8e03dee8c524", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Attempting 2 charts\n", - "\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# PAR and longer-wavelength spectral irradiance (not a very strong signal; see above)\n", - "fig,axs = ChartTwoSensors(profiles, [ranges['par'], ranges['spkir620nm']], [8, 80],\n", - " d['par'][0], d['par'][1], 'PAR', colors['par'], 'ascent',\n", - " d['spkir620nm'][0], d['spkir620nm'][1], 'spkir620nm spkir', \n", - " colors['spkir620nm'], 'ascent', 6, 4)" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "d24bdc33-b1a8-47ce-b82d-5cd2b41dfcec", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Attempting 3 charts\n", - "\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Nitrate and current velocity 'up' (midnight and noon: ascent for nitrate)\n", - "fig,axs = ChartTwoSensors(profiles, [ranges['nitrate'], ranges['up']], [3, 8, 12],\n", - " d['nitrate'][0], d['nitrate'][1], 'nitrate', colors['nitrate'], 'ascent',\n", - " d['up'][0], d['up'][1], 'Upward velocity', colors['up'], 'ascent', 6, 4)" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "de6fd9ef-f269-403c-9831-4c183db18564", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Attempting 12 charts\n", - "\n" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "how_many_current_charts = 12\n", - "first_current_chart = 200\n", - "profile_list = [n for n in range(first_current_chart, first_current_chart + how_many_current_charts)]\n", - "# Current velocity 'east' and 'north'\n", - "fig,axs = ChartTwoSensors(profiles, [ranges['east'], ranges['north']], profile_list,\n", - " d['east'][0], d['east'][1], 'east velocity', colors['east'], 'ascent',\n", - " d['north'][0], d['north'][1], 'north velocity', colors['north'], 'ascent', 6, 4)" - ] - }, - { - "cell_type": "markdown", - "id": "3f63d009-d81b-4976-8407-1d7301502ee9", - "metadata": {}, - "source": [ - "## Summary so far\n", - "\n", - "\n", - "The material above demonstrates charting most available sensors. In some cases this relies upon\n", - "careful selection of relevant profiles and profile phases (ascent versus descent). \n", - "\n", - "\n", - "Next: Ensemble views of data via *bundle charts*.\n", - "\n", - "\n", - "\n", - "## Bundle charts\n", - "\n", - "\n", - "A bundle chart overlays consecutive sensor profiles. These are static; the further section\n", - "is interactive." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "663a8767-a802-4ec4-8b98-43de19ff1bf5", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "image/png": 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", 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", 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", 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", 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "ShowStaticBundles(d, profiles)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "b4a46ac1-3a93-4142-9ac9-07e526ef117d", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "# This code is busted: I tried to import all the deets to chart.py but there is a problem with passing the data dictionary d\n", - "# BundleInteractor(d, profiles, False)\n", - "\n", - "# The following 3 cells are from the in-notebook sequence that formerly worked" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "fb0913c9-f44f-467c-8fdc-7bb25e08e077", - "metadata": {}, - "outputs": [], - "source": [ - "from ipywidgets import interact, widgets\n", - "from traitlets import dlink" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cf424214-afb5-4b42-b5f0-0f1d4f1f2496", - "metadata": {}, - "outputs": [], - "source": [ - "def BundleInteract(sensor_key, time_index, bundle_size):\n", - " '''\n", - " Consider a time range that includes many (e.g. 279) consecutive profiles. This function plots sensor data\n", - " within the time range. Choose the sensor using a dropdown. Choose the first profile using the start slider.\n", - " Choose the number of consecutive profiles to chart using the bundle slider. \n", - " Details\n", - " - There is no support at this time for selecting midnight or noon profiles exclusively\n", - " - nitrate, ph and pco2 bundle charts will be correspondingly sparse\n", - " - There is a little bit of intelligence built in to the selection of ascent or descent\n", - " - most sensors measure on ascent or ascent + descent. pco2 and ph are descent only\n", - " - ph and pco2 still have a charting bug \"last-to-first line\" clutter: For some reason\n", - " the first profile value is the last value from the prior profile. There is a hack in\n", - " place (\"i0\") to deal with this.\n", - " '''\n", - " \n", - " (phase0, phase1, i0) = ('a0t', 'a1t', 0) if not (sensor_key == 'ph' or sensor_key == 'pco2') else ('d0t', 'd1t', 1)\n", - " x = d[sensor_key][0]\n", - " z = d[sensor_key][1]\n", - " xlo = d[sensor_key][2]\n", - " xhi = d[sensor_key][3]\n", - " xtitle = sensor_names[sensor_key]\n", - " xcolor = d[sensor_key][4]\n", - "\n", - " # This configuration code block is hardcoded to work with March 2021\n", - " date0, date1 = dt64('2022-01-01'), dt64('2022-02-01')\n", - " time0, time1 = td64(0, 'h'), td64(24, 'h')\n", - " wid, hgt = 9, 6\n", - " x0, x1, z0, z1 = xlo, xhi, -200, 0\n", - " title = xtitle\n", - " color = xcolor\n", - " pidcs = GenerateTimeWindowIndices(date0, date1, time0, time1) # !!!!! either midn or noon, not both\n", - " nProfiles = len(pidcs)\n", - " \n", - " fig, ax = plt.subplots(figsize=(wid, hgt), tight_layout=True)\n", - " iProf0 = time_index if time_index < nProfiles else nProfiles\n", - " iProf1 = iProf0 + bundle_size if iProf0 + bundle_size < nProfiles else nProfiles\n", - " for i in range(iProf0, iProf1):\n", - " pIdx = pidcs[i]\n", - " ta0, ta1 = profiles[phase0][pIdx], profiles[phase1][pIdx]\n", - " xi, zi = x.sel(time=slice(ta0, ta1)), z.sel(time=slice(ta0, ta1))\n", - " ax.plot(xi[i0:], zi[i0:], ms = 4., color=color, mfc=color)\n", - " ax.set(title = title)\n", - " ax.set(xlim = (x0, x1), ylim = (z0, z1))\n", - "\n", - " # Add text indicating the current time range of the profile bundle\n", - " # tString = str(p[\"ascent_start\"][pIdcs[iProf0]])\n", - " # if iProf1 - iProf0 > 1: tString += '\\n ...through... \\n' + str(p[\"ascent_start\"][pIdcs[iProf1-1]])\n", - " # ax.text(px, py, tString)\n", - " \n", - " plt.show()\n", - " return" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a37208cf-a150-4b0a-98ce-2dff447edddd", - "metadata": {}, - "outputs": [], - "source": [ - "def Interactor(continuous_update = False):\n", - " '''Set up three bundle-interactive charts, vertically. Independent sliders for choice of \n", - " sensor, starting profile by index, and number of profiles in bundle. (90 profiles is about\n", - " ten days.) A fast machine can have cu = True to give a slider-responsive animation. Make\n", - " it False to avoid jerky 'takes forever' animation on less powerful machines.\n", - " '''\n", - " style = {'description_width': 'initial'}\n", - " \n", - " # data dictionary d{} keys:\n", - " optionsList = ['temperature', 'salinity', 'density', 'conductivity', 'do', 'chlora', 'fdom', 'bb', 'pco2', 'ph', 'par', 'nitrate']\n", - "\n", - " interact(BundleInteract, \\\n", - " sensor_key = widgets.Dropdown(options=optionsList, value=optionsList[0], description='sensor'), \\\n", - " time_index = widgets.IntSlider(min=0, max=270, step=1, value=160, \\\n", - " layout=widgets.Layout(width='35%'), \\\n", - " continuous_update=False, description='bundle start', \\\n", - " style=style),\n", - " bundle_size = widgets.IntSlider(min=1, max=90, step=1, value=20, \\\n", - " layout=widgets.Layout(width='35%'), \\\n", - " continuous_update=False, description='bundle width', \\\n", - " style=style))\n", - "\n", - " return\n", - "\n", - "Interactor(False)" - ] - }, - { - "cell_type": "markdown", - "id": "60121256-e1fe-4d6e-8d1c-07bf80215090", - "metadata": {}, - "source": [ - "## Concept material" - ] - }, - { - "cell_type": "markdown", - "id": "36ca0049-eb36-48ab-97bc-b703b69d031d", - "metadata": {}, - "source": [ - "Dual charts (as above) can be expanded to multiple duals. Below: Six sensor profiles\n", - "per line. Three-across format makes them discernible.\n", - "\n", - "
\n", - "\"drawing\"\n", - "

\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "d58c9726-6242-4953-8bb4-a78228eef3a6", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "text/html": [ - "" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from IPython.display import HTML, Video\n", - "Video('./../../img/multisensor_animation.mp4', embed=True, width = 500, height = 500)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e6a8a48d-93cc-418c-9f2b-5205fc1085c3", - "metadata": {}, - "outputs": [], - "source": [ - "from IPython.display import HTML, Video\n", - "Video('./../../img/multisensor_animation.mp4', embed=True, width = 500, height = 500)" - ] - }, - { - "cell_type": "markdown", - "id": "5c2529fb-b28c-46f6-80d6-9727a74ea721", - "metadata": {}, - "source": [ - "### MODIS surface chlorophyll" - ] - }, - { - "cell_type": "markdown", - "id": "2b2b8b44-2742-4723-92ff-b28a7ed43344", - "metadata": {}, - "source": [ - "
\n", - "\"drawing\"\n", - "

" - ] - }, - { - "cell_type": "markdown", - "id": "2562712c-8d38-4ac8-b877-9003ca5d587c", - "metadata": {}, - "source": [ - "### Filtering concept based on xrscipy\n", - "\n", - "\n", - "Some shallow profiler signals (particularly current) are noisy even at\n", - "1Min resolution. This suggests a low-pass filter might come in handy\n", - "so here is a possible path.\n", - "\n", - "`xr-scipy` is a thin wrapper of scipy for xarray eco-system. It includes\n", - "digital filter machinery.\n", - "\n", - "\n", - "- [main site](https://xr-scipy.readthedocs.io/en/latest/index.html)\n", - "- [geo applications site](https://scrapbox.io/pycoaj/xr-scipy)\n", - "\n", - "\n", - "```\n", - "import xrscipy.other.signal as dsp\n", - "t = np.linspace(0, 1, 1000) # seconds\n", - "sig = xr.DataArray(np.sin(16*t) + np.random.normal(0, 0.1, t.size),\n", - " coords=[('time', t)], name='signal')\n", - "sig.plot(label='noisy')\n", - "low = dsp.lowpass(sig, 20, order=8) # cutoff at 20 Hz\n", - "low.plot(label='lowpass', linewidth=5)\n", - "plt.legend()\n", - "plt.show()\n", - "```\n", - "\n", - "(package not installed yet)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f147f73e-e09c-4c0e-8503-29513a5cffca", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f471b2dc-e1c7-4cc6-ae45-2ec919d29d69", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.4" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/book/chapters/rob/roms.ipynb b/book/chapters/roms.ipynb similarity index 100% rename from book/chapters/rob/roms.ipynb rename to book/chapters/roms.ipynb diff --git a/book/chapters/rob/documentation.ipynb b/book/chapters/shallowprofiler.ipynb similarity index 96% rename from book/chapters/rob/documentation.ipynb rename to book/chapters/shallowprofiler.ipynb index 1330c46..11bd4b2 100644 --- a/book/chapters/rob/documentation.ipynb +++ b/book/chapters/shallowprofiler.ipynb @@ -2,3933 +2,585 @@ "cells": [ { "cell_type": "markdown", - "id": "35fdb00a-868a-4104-92b7-0b907d3a5268", + "id": "63f97121-dd06-44b0-9886-e9e996417339", "metadata": {}, "source": [ - "## Dell-NVIDIA right-size talk 6/11/2024\n", + "# Shallow Profiler\n", "\n", - "* Dell AI Factory with NVIDIA\n", - "* Retrograde diagram: Use cases to Services + AI s/w + Infra to Data\n", - "* Scale: LLM 1.7e12 parameters; Domain: 1e10; Enterprise 1e7 to 1e9\n", - "* Actuation seldom comes up; interesting idea is the Bull in the China Shop problem\n", - "* NIM Microservices seem to be API black boxes\n", - "* Purchase of NVIDIA AI Enterprise license\n", - "* NVIDIA AI Workflows (chatbot, digital assistant etcetera)\n", "\n", + "[Jupyter Book](https://geo-smart.github.io/oceanography/intro.html), [GitHub repo](https://github.com/geo-smart/oceanography).\n", "\n", - "## Dell-NVIDIA RAG talk 6/11/2024\n", "\n", - "* Cars and zebras... motility axis, can we talk?\n", - "* [try this](http://github.com/dell-examples/generative-ai)\n", - "* Look for QR codes\n", "\n", + "This notebook introduces physical and bio-optical data from the Ocean Observatories \n", + "Initiative (***OOI***) Regional Cabled Array (***RCA***) *Shallow Profiler*, shown below. \n", + "These platforms are anchored to the sea floor by cables. They are positively buoyant\n", + "and are parked at a depth of 200 meters where they continuously record sensor data. \n", + "By means of a cable/winch they regularly profile (sample) the upper 200 meters of the \n", + "water column, hence the name shallow profiler.\n", "\n", "\n", + "Some further detail on how data are collected: The bulbous pod in the photo below \n", + "(called the Science Pod or SCIP) is attached to the moored rectangular platform \n", + "by means of the yellow cable. The profiler ascends and then descends nine times per day.\n", + "Multiple instruments are visible, bolted to the SCIP, where each instrument bears\n", + "one or more sensors. Hence the sensors correspond to types of data: Temperature, \n", + "chlorophyll fluorescence and so on. \n", "\n", "\n", "\n", + "```{figure} ../../img/shallowprofilerinsitu.jpg\n", + "---\n", + "height: 300px\n", + "name: directive-fig\n", + "---\n", + "Shallow Profiler: Platform and Science Pod photographed by ROV; depth 200 meters\n", + "```\n", "\n", "\n", + "### Technical note\n", "\n", + "The `shallowprofiler_techical.ipynb` notebook goes to some length to sort out the data dictionary for sensors\n", + "and profile metadata use. \n", "\n", + "## Load profile metadata and build the data dictionary\n", "\n", "\n", + "The next step is to build a data dictionary **`d `** with keys corresponding to sensors:\n", + "**`conductivity`, `temperature`, `pco2`** etcetera. Those sensor names are the dictionary\n", + "keys. What are the dictionary values? They are five-tuples indexed like so: \\[0\\], \\[1\\], ..., \\[4\\].\n", + "These correspond to two XArray data arrays, 2 floats, and one string:\n", "\n", "\n", + "```\n", + "0: XArray DataArray: sensor data\n", + "1: XArray DataArray: sensor depth (meters, negative down) corresponding to data\n", + "2: float: Default charting lower limit for data\n", + "3: float: Default charting upper limit for data\n", + "4: string: Default chart color e.g. \"blue\"\n", + "```\n", "\n", + "Note that if the time extent of the data is one month -- say 30 days -- \n", + "a healthy shallow profiler will generate about $9 \\times 30 = 270$ profiles.\n", + "Selecting out time blocks that correspond to these profiles is done using\n", + "the profile metadata, contained in the dataframe called `profiles`. " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "0dc9ce86-ece0-4a8e-b016-b8604c1c30e2", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Jupyter Notebook running Python 3\n" + ] + } + ], + "source": [ + "from shallowprofiler import *\n", + "from charts import *\n", "\n", + "profiles = ReadProfileMetadata()\n", "\n", + "d = {}\n", "\n", + "relative_path = 'rca/sensors/data/'\n", + "sitestring = 'osb' # available: osb = Oregon Slope Base\n", + "monthstring = 'jan22' # available: apr21, jul21, jan22\n", "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "id": "4d7c8b16-459a-46af-a19d-ab7152535c69", - "metadata": {}, - "source": [ - "# Documentation\n", - "\n", - "\n", - "These chapters form the backing reference material for the GeoSMART Oceanography Book. \n", - "\n", - "\n", - "\n", - "## Sections\n", - "- 1 [Technical Elements](#Technical-Elements)\n", - "- 2 [Shallow Profilers](#Shallow-Profilers)\n", - "- 3 [Other Data Resources](#Other-Data-Resources)\n", - "- 4 [Computing Infrastructure](#Computing-Infrastructure)\n", - "\n", - "\n", - "\n", - "## JupyterBook To Do\n", - "\n", - "- Shallow profiler dataset rebuild from Zarr / Cloud resources\n", - "- Refactor the contents " - ] - }, - { - "cell_type": "markdown", - "id": "8bdd3ef3-b992-4655-9452-f38c03275480", - "metadata": {}, - "source": [ - "## Contents\n", - "\n", - "\n", - "### 1 Technical Elements\n", - "\n", - "\n", - "#### Useful References\n", - "\n", - "- [Python Data Science Handbook by Jake VanderPlas]((https://jakevdp.github.io/PythonDataScienceHandbook/) (abbreviated herein PDSH).\n", - "- [GitHub Markdown Cheat Sheet](https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet)\n", - "\n", - "\n", - "#### Technical Elements: Topics\n", - "\n", - "\n", - "- [Markdown](#Markdown): General, LaTeX math, tables\n", - "- [Embedding content](#Embedding-content): Images, Animations, Audio, YouTube videos\n", - "- [Shell integration](#Shell-integration)\n", - "- [Working with NetCDF XArray and Pandas](#Working-with-NetCDF-XArray-and-Pandas)\n", - "- [Time](#Time)\n", - "- [Missing data](#Missing-data)\n", - "- [Resampling](#Resampling)\n", - "- [Mapping](#Mapping)\n", - "- [Visualization](#Visualization) Matplotlib, IPython interaction widgets\n", - "- [Containerization](#Containerization)\n", - "- [Annotation](#Annotation)\n", - "\n", - "\n", - "### Shallow Profilers\n", - "\n", - "\n", - "[Top](#Documentation)\n", - "\n", - "\n", - "\n", - "- Data\n", - "- Profiler timing metadata\n", - "- Basic charts: **Depth** vs { **A**, **B**, **C**, ... }\n", - "- Noon/Midnight charts: pCO2 (Descent), pH (Descent), Nitrate (Ascent), Spectral Irradiance (Ascent)\n", - "- Turbulence\n", - "- Comparatives\n", - "- BioOptics\n", - "- Visualization in practice" - ] - }, - { - "cell_type": "markdown", - "id": "db56dfb2-c8e0-4a9e-a3b2-e225ec08b3f7", - "metadata": {}, - "source": [ - "### Other Data Resources\n", - "\n", - "\n", - "\n", - "[Top](#Documentation)\n", - "\n", - "\n", - "\n", - "- [GLODAP](#GLODAP)\n", - "- [ROMS](#ROMS)\n", - "- [MODIS](#MODIS)\n", - "- [ARGO](#ARGO)\n", - "- [RCA Deep Profilers](#RCA-Deep-Profilers)\n", - "- [RCA Sea floor](#RCA-Sea-floor)\n", - "\n", - "\n", - "### Computing Infrastructure\n", - "\n", - "\n", - "[Top](#Documentation)\n", - "\n", - "\n", - "- Toolbox\n", - "- Jupyter servers" - ] - }, - { - "cell_type": "markdown", - "id": "e1d28b1a-0484-4f53-951d-9ddb4d4fb4c7", - "metadata": {}, - "source": [ - "## Technical Elements\n", - "\n", - "\n", - "[Top](#Documentation)\n", - "\n", - "\n", - "### Markdown\n", - "\n", - "\n", - "[TOC](#1-Technical-Elements)\n", - "\n", - "\n", - "Markdown is a specialized text formatting style that also accommodates inline HTML.\n", - "\n", - "\n", - "Back-ticks to delineate `fixed-width font (code etc)`. Use three back-ticks \n", - "\n", - "\n", - "```\n", - "to offset \n", - "blocks \n", - "of code.\n", - "```\n", - "\n", - "\n", - "- bullet\n", - "- lists\n", - " - indent 4 spaces\n", - " - can also use an asterisk `*`\n", - "\n", - "\n", - "\n", - "> \"quotation-style\" text uses greater than `>`" - ] - }, - { - "cell_type": "markdown", - "id": "9465d1c4-b25a-44d4-8e40-5ee998c8cd4e", - "metadata": {}, - "source": [ - "#### LaTeX math formulas \n", - "\n", - "\n", - "A big topic; here are a couple examples to get started.\n", - "\n", - "\n", - "$LaTeX^{\\pi}$\n", - " \n", - "Single dollar-sign delimiters put content inline: `$e^x = \\sum_{i=0}^{\\infty}{\\frac{x^i}{i!}}$` looks like this: $e^x = \\sum_{i=0}^{\\infty}{\\frac{x^i}{i!}}$. \n", - "\n", - "\n", - "Double dollar-sign delimiters create a centered equation:\n", - "\n", - "\n", - "$$e^x = \\sum_{i=0}^{\\infty}{\\frac{x^i}{i!}}$$\n", - "\n", - "\n", - "Change size for example with a `\\Large` qualifier:\n", - "\n", - "\n", - "$\\Large{e^x = \\sum_{i=0}^{\\infty}{\\frac{x^i}{i!}}}$\n", - "\n", - "\n", - "#### Tables\n", - "\n", - "\n", - "Tables can be written as markdown or as HTML. Markdown 'pipe tables' with many columns \n", - "seem buggy in Jupyter notebooks, ymmv. Formatting e.g. left-justify might require some\n", - "searching.\n", - "\n", - "\n", - "| Tables | Are | Just So |\n", - "| ------------- |:-------------:| -----:|\n", - "| col 3 is | right-aligned | \\$1600 |\n", - "| col 2 is | centered | \\$12 |" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "5fb6c013-b50e-4893-8b2a-563606c0a735", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "
\n", - "Here is an HTML tabl running as Python code via %%html cell magic.\n", - "
\n", - "\n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
BookAuthorGenre
ThiefZusakMade It Up
\n", - "\n", - "\n", - "\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "%%html\n", - "\n", - "
\n", - "Here is an HTML tabl running as Python code via %%html cell magic.\n", - "
\n", - "\n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
BookAuthorGenre
ThiefZusakMade It Up
\n", - "\n", - "\n", - "" - ] - }, - { - "cell_type": "markdown", - "id": "bcd59350-698b-4cc9-af6d-a2905026042b", - "metadata": {}, - "source": [ - "
\n", - "Here is the same in a markdown cell\n", - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
BookAuthorGenre
ThiefZusakMade It Up
$x = \\pi$Holly BerryMathematics
Burden of DreamsPeteNonfiction
\n", - "\n", - "\n", - "" - ] - }, - { - "cell_type": "markdown", - "id": "fcc8515b-51f1-4c29-a68b-329949cc525a", - "metadata": {}, - "source": [ - "### Embedding content \n", - "\n", - "\n", - "[TOC](#1-Technical-Elements)\n", - "\n", - "\n", - "#### Inline images\n", - "\n", - "\n", - "For this use HTML in a markdown cell. The path points to a relative `images/topic` subfolder.\n", - "\n", - "\n", - "
\n", - "\"picture:\n", - "
\n", - "
\n", - "\n", - "\n", - "#### Local animation file (mp4) playback\n", - "\n", - "\n", - "```\n", - "from IPython.display import HTML, Video\n", - "Video('../images/animations/multisensor_animation.mp4', embed=True)\n", - "``` \n", - " \n" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "f9db8cb9-4dd7-4014-96aa-40fe967ea1c1", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "text/html": [ - "" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 1, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from IPython.display import HTML, Video\n", - "Video('../images/animations/multisensor_animation.mp4', embed=True, width = 500, height = 500)" - ] - }, - { - "cell_type": "markdown", - "id": "dae0986e-9d6e-4318-8a18-4af07baa9158", - "metadata": {}, - "source": [ - "#### Audio file (mp3) playback\n", - "\n", - "\n", - "```\n", - "from IPython.display import Audio\n", - "Audio(\".mp3\")\n", - "```\n", - "\n", - " \n", - "#### YouTube video playback\n", - "\n", - "\n", - "```\n", - "from IPython.display import YouTubeVideo\n", - "YouTubeVideo('sjfsUzECqK0')\n", - "```" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "id": "15435601-0c8b-4fdc-a4d3-1f26f3a10ab1", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "image/jpeg": 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\n", - "text/html": [ - "\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "execution_count": 40, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from IPython.display import YouTubeVideo\n", - "YouTubeVideo('sjfsUzECqK0')" - ] - }, - { - "cell_type": "markdown", - "id": "0d259407-4353-41d6-98c1-6a5b82c30fca", - "metadata": {}, - "source": [ - "### Shell integration\n", - "\n", - "\n", - "[TOC](#1-Technical-Elements)\n", - "\n", - "\n", - "### Working with NetCDF XArray and Pandas\n", - "\n", - "\n", - "[TOC](#1-Technical-Elements)\n", - "\n", - "\n", - "#### Summary\n", - "\n", - "\n", - "For a general take on data manipulation, particularly with `pandas`: \n", - "See Jake VanDerplas' excellent book Python Data Science Handbook. \n", - "\n", - "\n", - "We have here multi-dimensional oceanography datasets in\n", - "NetCDF and CSV format. Corresponding Python libraries are `XArray` and `pandas`.\n", - "On import these libraries are abbreviated `xr` and `pd` respectively.\n", - "\n", - "\n", - "The XArray method `.open_dataset('somefile.nc')` returns an XArray Dataset:\n", - "A set of XArray DataArrays. The Dataset includes four (or more*) sections: `Dimensions`, \n", - "`Coordinates`, `Data Variables`, and `Attributes`. To examine a Dataset\n", - "called `A`: Run `A` (i.e. on a line by itself) to see these constituent sections. \n", - "\n", - "\n", - "* \"more than four\": Discovered while looking at seismic (DAS) data: Some XArray\n", - "data may include yet another internal organizing structure.\n", - "\n", - "\n", - "In pandas the data structure is a DataFrame. Here these are used to manage \n", - "shallow profiler ascent/descent/rest metadata.\n", - "\n", - "\n", - "Common reductive steps once data are read include removing extraneous components from\n", - "a dataset, downsampling, removing NaN values, changing the primary `dimension`\n", - "from `obs` (for 'observation') to `time`, combining multiple data files into \n", - "a single dataset, saving modified datasets to new files, and creating charts. \n", - "\n", - "\n", - "Datasets that reside within this [GitHub repository](https://github.com/robfatland/ocean)\n", - "have to stay pretty small. Larger datasets are downloaded to an external folder. \n", - "See for example the use of `wget` in the **`Global Ocean`** notebook.\n", - "The following code shows reduction of a global ocean temperature data file to just\n", - "the data of interest (temperature as a 3-D scalar field). \n", - "\n", - "\n", - "```\n", - "# Reduce volume of an XArray Dataset with extraneous Data Variables:\n", - "T=xr.open_dataset('glodap_oxygen.nc')\n", - "T.nbytes\n", - "T=T[['temperature', 'Depth']]\n", - "T.nbytes\n", - "T.to_netcdf('temperature.nc') \n", - "```\n", - "\n", - "Data can be down-sampled for example by averaging multiple samples. A tradeoff in down-sampling \n", - "Regional Cabled Array shallow profiler data however is this: Data collected during profiler \n", - "ascent spans 200 meters of water column depth in one hour, or about 6 centimeters per sec. \n", - "A 'thin layer' of signal variation might be washed out by combining samples. \n", - "\n", - "\n", - "This repository does include a number of examples of down-sampling and otherwise selecting out\n", - "data subsets. \n", - "\n", - "\n", - "\n", - "\n", - "#### XArray Datasets and DataArrays\n", - "\n", - "\n", - "##### Summary\n", - "\n", - "There are a million little details about working with XArray Datasets, DataArrays, numpy arrays, pandas DataFrames,\n", - "pandas arrays... let's begin! The main idea is that a **DataArray** is an object containing, in the spirit of \n", - "the game, one sort of data; and a **Dataset** is a collection of associated **DataArray**s. \n", - "\n", - "\n", - "##### XArray ***Dataset*** basics\n", - "\n", - "**Datasets** abbreviated `ds` have components { dimensions, coordinates, data variables, \n", - "attributes }.\n", - "\n", - "\n", - "A **DataArray** relates to a **`name`**; needs elaboration. \n", - "\n", - "\n", - "```\n", - "ds.variables\n", - "\n", - "ds.data_vars # 'dict-like object'\n", - "\n", - "for dv in ds.data_vars: print(dv)\n", - " \n", - "choice = 2\n", - "this_data_var = list(ds.data_vars)[choice]\n", - "print(this_data_var)\n", - "\n", - "ds.coords\n", - "ds.dims\n", - "ds.attrs\n", - "```\n", - "\n", - "\n", - "\n", - "##### Load via `open_mfdataset()` with dimension swap from `obs` to `time`\n", - "\n", - "\n", - "A single NetCDF (`.nc`) file can be opened as an XArray Dataset using `xr.open_dataset(fnm)`. \n", - "Multiple files can be opened as a single XArray Dataset via `xr.open_mfdataset(fnm*.nc)`. \n", - "`mf` stands for `multi-file`. Note \n", - "the wildcard `fnm*` is supported. \n", - "\n", - "```\n", - "def my_preprocessor(fds): return fds.swap_dims({'obs':'time'})\n", - "\n", - "ds = xr.open_mfdataset('files*.nc', \\\n", - " preprocess = my_preprocessor, \\\n", - " concat_dim='time', combine='by_coords')\n", - "```\n", - "\n", - "##### Obstacle: Getting information out of a Dataset\n", - "\n", - "\n", - "There is a sort of comprehension / approach that I have found hard to internalize.\n", - "With numpy ndarrays, XArray Datasets, etcetera there is this \"how do I get at it?\"\n", - "problem. As this documentation evolves I will try and articulate the most helpful\n", - "mindset. The starting point is that Datasets are built as collections of DataArrays; \n", - "and these have an indexing protocol the merges with a method protocol (`sel`, `merge`\n", - "and so on) where the end-result code that does what I want is inevitably very \n", - "elegant. So it is a process of learning that elegant sub-language...\n", - "\n", - "\n", - "##### Synthesizing along the dimension via `.concat`\n", - "\n", - "\n", - "```\n", - "ds_concat = xr.concat([ds.sel(time=\n", - "```\n", - "\n", - "\n", - "##### Recover a time value as `datetime64` from a Dataset by index\n", - "\n", - "\n", - "If `time` is a `dimension` it can be referenced via `ds.time[i]`. However\n", - "this will be a 1-Dimensional, 1-element DataArray. Adding `.data`\n", - "and casting the resulting ndarray (with one element) as a `dt64` works.\n", - "\n", - "```dt64(ds.time[i].data)```\n", - "\n", - "\n", - "##### Example: XArray transformation flow\n", - " \n", - " \n", - "As an example of the challenge of learning `XArray`: The reduction of this data to binned profiles\n", - "requires a non-trivial workflow. A naive approach can result in a calculation that should take \n", - "a seconds run for hours. (A key idea of this workflow -- the sortby() step -- is found on page 137 of **PDSH**.)\n", - " \n", - " \n", - "- `swap_dims()` to substitute `pressure` for `time` as the ordinate dimension\n", - "- `sortby()` to make the `pressure` dimension monotonic\n", - "- Create a pressure-bin array to guide the subsequent data reduction\n", - "- `groupby_bins()` together with `mean()` to reduce the data to a 0.25 meter quantized profile\n", - "- use `transpose()` to re-order wavelength and pressure, making the resulting `DataArray` simpler to plot\n", - "- accumulate these results by day as a list of `DataArrays`\n", - "- From this list create an `XArray Dataset`\n", - "- Write this to a new NetCDF file\n", - "\n", - "\n", - "##### needs sorting\n", - "\n", - "- Copy: `dsc = ds.copy()`\n", - "- Coordinate to data variable: `ds = ds.reset_coords('seawater_pressure')`\n", - "\n", - "##### Example: XArray Dataset subset and chart\n", - "\n", - "\n", - "Time dimension slice:\n", - "\n", - "```\n", - "ds = xr.open_dataset(\"file.nc\")\n", - "ds = ds.sel(time=slice(t0, t1))\n", - "ds\n", - "```\n", - "\n", - "This shows that the temperature Data Variable has a cumbersome name: \n", - "`sea_water_temperature_profiler_depth_enabled`. \n", - "\n", - "```\n", - "ds = ds.rename({'sea_water_temperature_profiler_depth_enabled':'temperature'})\n", - "```\n", - "\n", - "Plot this against the default dimension `time`:\n", - "\n", - "```\n", - "ds.temperature.plot()\n", - "```\n", - "\n", - "Temperature versus depth rather than time:\n", - "\n", - "```\n", - "fig, axs = plt.subplots(figsize=(12,4), tight_layout=True)\n", - "axs.plot(ds.temperature, -ds.z, marker='.', markersize=9., color='k', markerfacecolor='r')\n", - "axs.set(ylim = (200., 0.), title='temperature against depth')\n", - "```\n", - "\n", - "Here `ds.z` is negated to indicate depth below ocean surface.\n", - "\n", - "\n", - "### More cleanup of Datasets: rename() and drop()\n", - "\n", - "\n", - "* Use `ds = ds.rename(dictionary-of-from-to)` to rename data variables in a Dataset\n", - "* Use `ds = ds.drop(string-name-of-data-var)` to get rid of a data variable\n", - "* Use `ds = ds[[var1, var2]]` to eliminate all but those two variables\n", - "\n", - "\n", - "##### XArray ***DataArray*** name and length\n", - "\n", - "\n", - "```\n", - "sensor_t.name\n", - "\n", - "len(sensor_t)\n", - "len(sensor_t.time) # gives same result\n", - "```\n", - "\n", - "What is the name of the controlling dimension?\n", - "\n", - "```\n", - "if sensor_t.dims[0] == 'time': print('time is dimension zero')\n", - "```\n", - "\n", - "Equivalent; but the second version permits reference by \"discoverable\" string.\n", - "\n", - "\n", - "```\n", - "sensor_t = ds_CTD_time_slice.seawater_temperature\n", - "sensor_t = ds_CTD_time_slice['seawater_temperature']\n", - "```\n", - "\n", - "###### Plotting with scaling and offsetting\n", - "\n", - "Suppose I wish to shift some data left to contrast it with some other data (where they would clobber one another)...\n", - "\n", - "```\n", - "sensor_t + 0.4\n", - "```\n", - "\n", - "Suppose I wish to scale some data in a chart to make it easier to interpret given a fixed axis range\n", - "\n", - "```\n", - "sensor_t * 10. # this fails by trying to make ten copies of the array\n", - "\n", - "np.ones(71)*3.*smooth_t # this works by creating an inner product\n", - "```" - ] - }, - { - "cell_type": "markdown", - "id": "797918c8-9b2c-4de9-aa5a-f1b5ad1b55bb", - "metadata": {}, - "source": [ - "### Time\n", - "\n", - "\n", - "[TOC](#1-Technical-Elements)\n", - "\n", - "\n", - "\n", - "### Missing data\n", - "\n", - "\n", - "[TOC](#1-Technical-Elements)\n", - "\n", - "\n", - "### Resampling\n", - "\n", - "\n", - "[TOC](#1-Technical-Elements)\n", - "\n", - "\n", - "\n", - "### Mapping\n", - "\n", - "\n", - "[TOC](#1-Technical-Elements)\n", - "\n", - "\n", - "- cf PyGMT\n", - "\n", - "\n", - "\n", - "### Visualization\n", - "\n", - "\n", - "[TOC](#1-Technical-Elements)\n", - "\n", - "\n", - "#### Overview\n", - "\n", - "\n", - "There are two Python plotting libraries: **`matplotlib`** and **`plotly`**. \n", - "**`plotly`** is more advanced and interactive. \n", - "[This link provides more background on it](https://plotly.com/python/) \n", - "including a gallery of examples of what is possible.\n", - "\n", - "\n", - "Turning to Matplotlib: This library includes the **`.pyplot`** sub-library, \n", - "a MATLAB-parity API. It is the `pyplot` sub-library that is \n", - "most commonly put to use building charts; and to make matters more confusing it is \n", - "habitually imported as `plt`, hence the ubiquitous import line: \n", - "`import matplotlib.pyplot as plt`. With the API now abbreviated as `plt` we \n", - "proceed to generating data charts. \n", - "\n", - "\n", - "To make things further complicated: Herein we often generate a grid of charts\n", - "for comparison using the `subplots` API call. As an example: \n", - "\n", - "\n", - "```\n", - "fig,ax=plt.subplots(3,3,figsize=(12,12))\n", - "```\n", - "\n", - "\n", - "- What is `fig`? A figure (???)\n", - "- What is `ax`? An array of artists (???)\n", - "\n", - "\n", - "\n", - "The main agenda of this repository can be summarized as: \n", - "\n", - "\n", - "- reduce a dataset to just some data of interest\n", - "- obtain metadata (profile timestamps for example)\n", - "- produce charts to visualize this data by means of `.scatter` and `.plot` directives\n", - "- proceed to various forms of data analysis\n", - "\n", - "\n", - "> There is a utility `.plot()` method built into XArray Datasets for a quick view of \n", - "a particular data variable along the `dimension` axis.\n", - "\n", - "\n", - "\n", - "> Needed: Detail on how to do formatting, example arguments:\n", - "> `vmin=4.,vmax=22.,xincrease=False`\n", - "\n", - "\n", - "> PDSH recommends the Seaborn library as a chart-building alternative with cleaner graphics.\n", - "\n", - "\n", - "#### Matplotlib\n", - "\n", - "\n", - "Big topic: Building charts using the matplotlib library. Here's one to begin with." - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "id": "3c8bc626-1060-4b37-aa5c-5be6846e15c3", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from matplotlib import pyplot as plt\n", - "fig, axs = plt.subplots(figsize=(2.5,4), tight_layout=True)\n", - "axs.plot([7, 6, 2, 0, 5, 0, 0.5, 2], [1, 2, 3, 4, 5, 6, 7, 8], marker='.', markersize=14, color='black', markerfacecolor='red')\n", - "axs.set_title('some artificial data'); axs.set_ylabel('observation number'); axs.set_xlabel('measurement'); plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "fc1281df-3f50-4f1a-bddf-2ffbfb15c587", - "metadata": {}, - "source": [ - "This chart is an abbreviated archetype of an initial shallow profiler chart:\n", - "The vertical axis corresponds to depth, horizontal is a physical measurement. Let's belabor\n", - "this for a moment by supposing color coding the markers 'from a separate measurement'." - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "id": "1dae7e34-d07d-4520-8445-c949d45dd46c", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from matplotlib import pyplot as plt\n", - "fig, axs = plt.subplots(figsize=(2.5,4), tight_layout=True)\n", - "axs.plot([7, 6, 2, 0, 5, 0, 0.5, 2], [1, 2, 3, 4, 5, 6, 7, 8], marker='.', markersize=14, color='black', markerfacecolor='none')\n", - "axs.scatter([7, 6, 2, 0, 5, 0, 0.5, 2], [1, 2, 3, 4, 5, 6, 7, 8], marker='.', s=120, c=['r', 'y', 'cyan', 'cyan', 'r', 'b', 'b', 'g'])\n", - "axs.set_title('some artificial data'); axs.set_ylabel('observation number'); axs.set_xlabel('measurement'); plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "0e885ecc-11f7-4e84-b289-7ec0e00c153b", - "metadata": {}, - "source": [ - "The `axs.plot()` line is the same but for the color change to `'none'`. The result with the added scatter\n", - "plot color-codes each data marker. Building the `.scatter()` is not a trivial process, however, \n", - "(`markersize` changes to `s` and the value goes from `14` to `120`...) and the resulting chart is not clean." - ] - }, - { - "cell_type": "markdown", - "id": "a0aac9d9-1c5e-4017-981c-44e0bb78e3f4", - "metadata": {}, - "source": [ - "#### Widgets\n", - "\n", - "**Widgets** are an Interactive Python (IPython) library for building interactive visualizations. The idea is to set up \n", - "controls such as sliders or selectors that are *wired in* to charting code. Move the slider: Change\n", - "a parameter, redraw the chart.\n", - "\n", - "\n", - "### Containerization\n", - "\n", - "\n", - "[TOC](#1-Technical-Elements)\n", - "\n", - "\n", - "### Annotation\n", - "\n", - "\n", - "\n", - "[TOC](#1-Technical-Elements)\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "id": "f29f5af9-ab96-4f00-86f9-7f5350b7b6dc", - "metadata": {}, - "source": [ - "## Shallow Profilers\n", - "\n", - "\n", - "As a complete system a shallow profiler consists of two instrument-bearing structures: \n", - "The *platform* and the *profiler*. The platform includes a winch with a cable that holds\n", - "the profiler in place during rest intervals. The profiler is positively buoyant so that as\n", - "the cable is paid out the profiler rises through the water column to near the surface.\n", - "The platform is anchored to the sea bed by means of two cables. Consequently during\n", - "conditions of strong current (storms for example) the platform can be temporarily\n", - "displaced laterally and downward.\n", - "\n", - "\n", - "### Data\n", - "\n", - "\n", - "- Getting datasets from the portal: 1-minute-sample, full resolution (1 sample per second)\n", - "- See the `data.ipynb` notebook\n", - "\n", - "\n", - "### Profile timing metadata\n", - "\n", - "\n", - "- Nine daily profiles: 7 regular + 2 special: noon/midnight variants\n", - "- Basic charts: **Depth** vs { **A**, **B**, **C**, ... }\n", - "- Noon/Midnight charts: pCO2 (Descent), pH (Descent), Nitrate (Ascent), Spectral Irradiance (Ascent)\n", - "\n", - "\n", - "### Turbulence\n", - "\n", - "\n", - "### Comparatives\n", - "\n", - "- Ascent versus Descent\n", - "- At Rest versus Platform\n", - "- Profiler versus Discrete CTD cast data (VISIONS cruises)\n", - " \n", - " \n", - "### BioOptics\n", - "\n", - "- FDOM/CDOM and Chlorophyll\n", - "- Spectral Irradiance\n", - "- Spectrophotometer\n", - "\n", - "\n", - "### More on visualization in practice\n", - "\n", - "\n", - "- Interactivity: Sliders, Widgets\n", - "- Visualizing in 3D\n", - "- Saving charts as `.png` images\n", - "- Creating chart animations" - ] - }, - { - "cell_type": "markdown", - "id": "746498ae-a9fe-4863-8627-cf6a4d033421", - "metadata": {}, - "source": [ - "\n", - " \n", - " \n", - "### Data manipulation\n", - "\n", - "#### XArray Dataset operations\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "id": "e7a5517b-4edf-453f-bf3e-94005d3fb05f", - "metadata": {}, - "source": [ - "#### [Top](#Introduction) and [Table of Contents](#Table-of-Contents)\n", - "\n", - "\n", - "### Shallow profiler **`instrument; sensor(s)`** abbreviation table \n", - "\n", - "\n", - "| OOI abbrev | sensors |remark|simple abbrevs|\n", - "|--|--|--|--|\n", - "|ctdpf|3|CTD: includes a variety of sensors|ctd; salinity, temperature, pressure, density, conductivity\n", - "|pco2|1|carbonate chemistry, midnight and noon *descent* only|pco2; pco2\n", - "|phsen|1|pH, midnight and noon *descent* only|ph; ph\n", - "|nutnr|2|nitrate, dark samples; midnight and noon *ascent* only|nitrate; nitrate\n", - "|flort|3|Fluorometer triplet: chlorophyll-A, FDOM, backscatter|fluor; chlora, fdom, bb\n", - "|spkir|7|spectral irradiance: optical absorbance and beam attenuation|spkir; oa\\#, ba\\#\n", - "|parad|1|photosynthetically available radiation 'PAR'|par; par\n", - "|optaa|86|spectrophotometer: 86 bands, ascent noon/midnight|sp; sp\\#\\#" - ] - }, - { - "cell_type": "markdown", - "id": "massive-rabbit", - "metadata": {}, - "source": [ - "### Slow resampling problem\n", - "\n", - "\n", - "The shallow profiler spectrophotometer has 86 channels. Each observation has \n", - "a corresponding depth and time, typically several thousand per profile.\n", - "The XArray Dataset has `time` swapped in for `obs` dimension but we are \n", - "interested in resampling into depth bins. This took hours; which was \n", - "puzzling. However page 137 of PDSH, on **Rearranging Multi-Indices**\n", - "and **Sorted and unsorted indices** provides this resolution: \n", - "\n", - "> ***Rearranging Multi-indices***
\n", - "One of the keys to working with multiply indexed data is knowing how to effectively \n", - "transform the data. There are a number of operations that will preserve all the \n", - "information in the dataset, but rearrange it for the purposes of various computations. \n", - "[...] There are many [ways] to finely control the rearrangement\n", - "of data between heirarchical indices and columns.\n", - " \n", - "> ***Sorted and unsorted indices***
\n", - "Earlier, we briefly mentioned a caveat, but we should emphasize it more here. \n", - "*Many of the `MultiIndex`slicing operations will fail if the index is not sorted.*" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "id": "b63ab051-5eef-44ee-94eb-38aa0a1db505", - "metadata": {}, - "outputs": [ - { - "ename": "SyntaxError", - "evalue": "unterminated string literal (detected at line 60) (1449922703.py, line 60)", - "output_type": "error", - "traceback": [ - "\u001b[0;36m Cell \u001b[0;32mIn[43], line 60\u001b[0;36m\u001b[0m\n\u001b[0;31m * qc points to total volume scattering and optical backscatter but I'll keep all three\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m unterminated string literal (detected at line 60)\n" - ] - } - ], - "source": [ - "# Adrift content\n", - "\n", - "\n", - "\n", - "- merge() ...?... \n", - " - Order: `.merge()` then `.resample()` with `mean()`; or vice versa? (existing code is vice-versa)\n", - " - This approach does resampling prior to merge but was taking way too long\n", - "- resampling\n", - "\n", - "```\n", - "ds = ds.reset_coords('seawater_pressure') # converts the coordinate to a data variable\n", - "ds_mean = ds.resample(time='1Min').mean()\n", - "ds_std = ds.resample(time='1Min').std()\n", - "```\n", - "\n", - "- How to copy a dataset, how to move a coordinate to a data variable\n", - "\n", - " - ./images/misc/optaa_spectra_0_10_20_JAN_2019.png\n", - " - ./images/misc/nitrate_2019_JAN_1_to_10.png\n", - "- pH sensor fire once at the end of every profile; back in the platform***\n", - "- Manufacturer etc: [here](https://interactiveoceans.washington.edu/instruments/).\n", - "- ...but the DataArray can itself be invoked with `.attrs` to see additional attributes that are invisible\n", - "\n", - "```\n", - "ds.density.attrs\n", - "```\n", - "\n", - "- Optical absorption spectrophotometer\n", - " * Seabird Scientific (acquired WETLABS): 'AC-S' model (shallow profilers)\n", - " * 86 wavelengths per sample; in practice some nan values at both ends\n", - " * Interview Chris for more procedural / interpretive SME\n", - " * Operates only during shallow profiler ascents\n", - " * Only on the two \"nitrate\" ascents each day\n", - " * One sample per 0.27 seconds\n", - " * However it often does a \"skip\" with a sample interval about 0.5 seconds\n", - " * Spectral absorption: parameter `a`, values typically 20 - 45. \n", - " * Attenuation is `c` with values on 0 to 1.\n", - " * Coordinates we want are `time`, `int_ctd_pressure`, `wavelength`\n", - " * `time` and `wavelength` are also dimensions\n", - " * Data variables we want are `beam_attenuation` (this is `c`) and `optical_absorption` (`a`)\n", - " * Per year data is about 1.7 billion floating point numbers\n", - " * 86 wavelengths x 2 (c, a) x 2 (ascent / day) x 14,000 (sample / ascent) x 365\n", - "\n", - " \n", - "\n", - "- Photosynthetically Active Radiation (PAR)\n", - " * Devices mounted on the shallow profiler and the SP platform\n", - " * Seabird Scientific (from acquisition of Satlantic): PAR model\n", - " * Some ambiguity in desired result: `par`, `par_measured` and `par_counts_output` are all present in the data file\n", - " * Since `qc` values are associated with it I will simply use `par_counts_output`\n", - " \n", - " \n", - "- Fluorometer\n", - " * WETLABS (Seabird Scientific from acquisition) Triplet\n", - " * Chlorophyll emission is at 683 nm\n", - " * Measurement wavelengths in nm are 700.0 (scattering), 460.0 (cdom) and 695.0 (chlorophyll)\n", - " * Candidate Data variables\n", - " * Definites are `fluorometric_chlorophyll_a` and `fluorometric_cdom`\n", - " * Possibles are `total_volume_scattering_coefficient`, `seawater_scattering_coefficient`, `optical_backscatter`\n", - " * qc points to total volume scattering and optical backscatter but I'll keep all three\n", - " \n", - " \n", - "- Nitrate nutnr_a_sample and nutnr_a_dark_sample\n", - " * The nitrate run ascent is ~62 minutes (ascent only); ~3 meters per minute\n", - " * Ascent is about 14,000 samples; so 220 samples per minute\n", - " * That is 70 samples per meter depth over 20 seconds\n", - " * Per the User's Manual post-processing gets rather involved\n", - "\n", - "\n", - "- pCO2 water (two streams: pco2w_b_sami_data_record and pco2w_a_sami_data_record)\n" - ] - }, - { - "cell_type": "markdown", - "id": "weighted-retro", - "metadata": { - "tags": [] - }, - "source": [ - "#### [Top](#Introduction) and [Table of Contents](#Table-of-Contents)\n", - "\n", - "\n", - "### One minute resampling\n", - "\n", - "\n", - "This is the practical implementation of index sorting described above and in *PDSH*.\n", - "\n", - "\n", - "`XArray Datasets` feature selection by time range: `ds.sel(time=slice(timeA, timeB))`\n", - "and resampling by time interval: `ds.resample(time='1Min').mean()`. \n", - "(Substitute `.std()` to expand into standard deviation signals.)\n", - "\n", - "\n", - "```\n", - "ds = xr.open_dataset(ctd_data_filename)\n", - "tJan1 = dt64('2019-01-01')\n", - "tFeb1 = dt64('2019-02-01')\n", - "ds = ds.sel(time=slice(tJan1, tFeb1))\n", - "ds1Min = ds.resample(time='1Min').mean()\n", - "```\n", - "\n", - "\n", - "\n", - "The problem however is that the resample() execution in the code above\n", - "can hang. The select operation `.sel()` is not understood by XArray as a monotonic\n", - "time dimension monotonic. It may be treated as a jumble even if it is not! \n", - "This can become even more catastrophic when other dimensions are present. \n", - "The following work-around uses `pandas Dataframes`. \n", - "\n", - "\n", - "\n", - "This code moves the \n", - "XArray Dataset contents into a pandas DataFrame.\n", - "Here they are resampled properly; and the resulting\n", - "columns are converted into a list of XArray DataArrays.\n", - "These are then combined to form a new Dataset with \n", - "the desired resampling completed quickly. \n", - "\n", - "\n", - "\n", - "```\n", - "df = ds.to_dataframe().resample(\"1Min\").mean()\n", - "vals = [xr.DataArray(data=df[c], \\\n", - " dims=['time'], \\\n", - " coords={'time':df.index}, \\\n", - " attrs=ds[c].attrs) \\\n", - " for c in df.columns]\n", - "ds = xr.Dataset(dict(zip(df.columns, vals)), attrs=ds.attrs)\n", - "ds.to_netcdf('new_data_file.nc')\n", - "```" - ] - }, - { - "cell_type": "markdown", - "id": "above-boating", - "metadata": {}, - "source": [ - "Flourometry code redux: For OSB shallow profiler triplet, to 1Min samples, JAN 2019\n", - "\n", - "\n", - "```\n", - "ds_Fluorometer = xr.open_dataset('/data/rca/fluorescence/osb_sp_flort_2019.nc')\n", - "time_jan1, time_feb1 = dt64('2019-01-01'), dt64('2019-02-01')\n", - "ds_Fluor_jan2019 = ds_Fluorometer.sel(time=slice(time_jan1, time_feb1))\n", - "df = ds_Fluor_jan2019.to_dataframe().resample(\"1Min\").mean()\n", - "vals = [xr.DataArray(data=df[c], dims=['time'], coords={'time':df.index}, \\\n", - " attrs=ds_Fluor_jan2019[c].attrs) for c in df.columns]\n", - "xr.Dataset(dict(zip(df.columns, vals)), \\\n", - " attrs=ds_Fluor_jan2019.attrs).to_netcdf('./data/rca/fluorescence/osb_sp_fluor_jan2019.nc')\n", - "```\n", - "\n", - "Spectral irradiance stopgap version: Break out by spectrum (should be dimension of just one file).\n", - "\n", - "```\n", - "spectral_irradiance_source = '/data/rca/irradiance/'\n", - "spectral_irradiance_data = 'osb_sp_spkir_2019.nc'\n", - "ds_spectral_irradiance = xr.open_dataset(spectral_irradiance_source + spectral_irradiance_data)\n", - "ds_spectral_irradiance\n", - "time_jan1, time_feb1 = dt64('2019-01-01'), dt64('2019-02-01')\n", - "ds_Irr_jan2019 = ds_spectral_irradiance.sel(time=slice(time_jan1, time_feb1))\n", - "df = [ds_Irr_jan2019.sel(spectra=s).to_dataframe().resample(\"1Min\").mean() for s in ds_Irr_jan2019.spectra]\n", - "r = [xr.Dataset(dict(zip(q.columns, \n", - " [xr.DataArray(data=q[c], dims=['time'], coords={'time':q.index}, \\\n", - " attrs=ds_Irr_jan2019[c].attrs) for c in q.columns] \\\n", - " ) ), \n", - " attrs=ds_Irr_jan2019.attrs)\n", - " for q in df]\n", - "for i in range(7): r[i].to_netcdf('./data/rca/irradiance/osb_sp_irr_spec' + str(i) + '.nc')\n", - "```\n", - "\n", - "\n", - "Spectral irradiance related skeleton code showing use of `.isel(spectra=3)`: \n", - "\n", - "\n", - "```\n", - "ds = ds_spkir.sel(time=slice(time0, time1))\n", - "da_depth = ds.int_ctd_pressure.resample(time='1Min').mean()\n", - "dsbar = ds.resample(time='1Min').mean()\n", - "dsstd = ds.resample(time='1Min').std()\n", - "dsbar.spkir_downwelling_vector.isel(spectra=3).plot()\n", - "\n", - "\n", - "plot_base_dimension = 4\n", - "indices = [0, 1, 2, 3, 4, 5, 6]\n", - "n_indices = len(indices)\n", - "da_si, da_st = [], []\n", - "\n", - "\n", - "for idx in indices: \n", - " da_si.append(dsbar.spkir_downwelling_vector.isel(spectra=idx))\n", - " da_st.append(dsstd.spkir_downwelling_vector.isel(spectra=idx))\n", - "\n", - "\n", - "fig, axs = plt.subplots(n_indices, 2, figsize=(4*plot_base_dimension, plot_base_dimension*n_indices), /\n", - " sharey=True, tight_layout=True)\n", - "\n", - "\n", - "axs[0][0].scatter(da_si[0], da_depth, marker=',', s=1., color='k') \n", - "axs[0][0].set(ylim = (200., 0.), xlim = (-.03, .03), title='spectral irradiance averaged')\n", - "axs[0][1].scatter(da_st[0], da_depth, marker=',', s=1., color='r')\n", - "axs[0][1].set(ylim = (200., 0.), xlim = (0., .002), title='standard deviation')\n", - "\n", - "\n", - "for i in range(1, n_indices):\n", - " axs[i][0].scatter(da_si[i], da_depth, marker=',', s=1., color='k')\n", - " axs[i][0].set(ylim = (200., 0.), xlim = (-.03, .03))\n", - " axs[i][1].scatter(da_st[i], da_depth, marker=',', s=1., color='r')\n", - " axs[i][1].set(ylim = (200., 0.), xlim = (0., .002))\n", - "```\n", - "\n", - "Code for PAR\n", - "\n", - "```\n", - "par_source = '/data/rca/par/'\n", - "par_data = 'osb_sp_parad_2019.nc'\n", - "ds_par = xr.open_dataset(par_source + par_data)\n", - "time_jan1 = dt64('2019-01-01')\n", - "time_feb1 = dt64('2019-02-01')\n", - "ds_par_jan2019 = ds_par.sel(time=slice(time_jan1, time_feb1))\n", - "df = ds_par_jan2019.to_dataframe().resample(\"1Min\").mean()\n", - "vals = [xr.DataArray(data=df[c], dims=['time'], coords={'time':df.index}, attrs=ds_par_jan2019[c].attrs) for c in df.columns]\n", - "ds_par_jan2019_1Min = xr.Dataset(dict(zip(df.columns, vals)), attrs=ds_par_jan2019.attrs)\n", - "osb_par_nc_file = \"./data/rca/par/osb_sp_par_jan2019.nc\"\n", - "ds_par_jan2019_1Min.to_netcdf(osb_par_nc_file)\n", - "```\n", - "\n", - "PAR view: during shallow profiler rise/fall sequences\n", - "\n", - "```\n", - "t0, t1 = '2019-07-17T13', '2019-07-18T05'\n", - "t0, t1 = '2019-07-17T18:40', '2019-07-17T19:40'\n", - "t0, t1 = '2019-07-17T21', '2019-07-17T23:00' # These are the nitrate profiles\n", - "t0, t1 = '2019-07-18T21', '2019-07-18T23:00'\n", - "t0, t1 = '2019-07-19T21', '2019-07-19T23:00'\n", - "t0, t1 = '2019-07-17T18:40', '2019-07-17T19:40' # These are the profiles prior to nitrate\n", - "t0, t1 = '2019-07-18T18:40', '2019-07-18T19:40'\n", - "t0, t1 = '2019-07-19T18:40', '2019-07-19T19:40'\n", - "da = ds_parad.sel(time=slice(t0, t1)).par_counts_output\n", - "p=da.plot.line(marker='o', figsize = (14,8), markersize=1, yincrease = True)\n", - "```\n", - "\n", - "Staged 'nitrate' profile compared with 'normal' profile\n", - "\n", - "```\n", - "t0, t1 = '2019-07-19T20:30', '2019-07-19T23:50' # USE THIS!! This is a good nitrate profile time bracket\n", - "t0, t1 = '2019-07-19T18:40', '2019-07-19T19:40'\n", - "da = ds_parad.sel(time=slice(t0, t1)).int_ctd_pressure\n", - "p=da.plot.line(marker='o', figsize = (14,8), markersize=1, yincrease = False)\n", - "```" - ] - }, - { - "cell_type": "markdown", - "id": "formed-moses", - "metadata": {}, - "source": [ - "#### [Top](#Introduction) and [Table of Contents](#Table-of-Contents)\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "### Event handling and debugging\n", - "\n", - "\n", - "See the Annotate notebook on creating an event handler for interactivity. \n", - "\n", - "\n", - "> Key: Declare an event handler variable as `global`. It can now be examined in a \n", - "subsequent cell.\n", - "\n", - "\n", - "### Dual-purpose axis\n", - "\n", - "\n", - "Place two charts adjacent with the same y-axis (say depth). Now combine them, trading off\n", - "condensed information with clutter. This is done using the `.twiny()` or `.twinx()` methods. \n", - "See the BioOptics notebook for examples. \n", - "\n", - "\n", - "### Grid of charts\n", - "\n", - "\n", - "This is example code for time-series data. It sets up a 3 x 3 grid of charts. These are matched to a 2-D set of\n", - "axes (the 'a' variable) with both the scatter() and plot() constructs.\n", - "\n", - "```\n", - "rn = range(9); rsi = range(7)\n", - "\n", - "p,a=plt.subplots(3, 3, figsize=(14,14)) # first 3 is vertical count, second 3 is horizontal count\n", - "\n", - "plt.rcParams.update({'font.size': 10})\n", - "\n", - "a[0,0].plot(ctdF.time, ctdF.depth, color='r'); a[0,0].set(ylim=(200.,0.), title='Depth')\n", - "a[0,1].plot(ctdF.time, ctdF.salinity, color='k'); a[0,1].set(title='Salinity')\n", - "a[0,2].plot(ctdF.time, ctdF.temperature, color='b'); a[0,2].set(title='Temperature')\n", - "a[1,0].plot(ctdF.time, ctdF.dissolved_oxygen, color='b'); a[1,0].set(title='Dissolved Oxygen')\n", - "a[1,1].scatter(phF.time.values, phF.ph_seawater.values, color='r'); a[1,1].set(title='pH')\n", - "a[1,2].scatter(nitrateF.time.values, nitrateF.scn.values, color='k'); a[1,2].set(title='Nitrate')\n", - "a[2,0].plot(parF.time, parF.par_counts_output, color='k'); a[2,0].set(title='Photosynthetic Light')\n", - "a[2,1].plot(fluorF.time, fluorF.fluorometric_chlorophyll_a, color='b'); a[2,1].set(title='Chlorophyll')\n", - "a[2,2].plot(siF.time, siF.si0, color='r'); a[2,2].set(title='Spectral Irradiance')\n", - "\n", - "a[2,0].text(dt64('2017-08-21T07:30'), 155., 'local midnight', rotation=90, fontsize=15, color='blue', fontweight='bold')\n", - "a[2,2].text(dt64('2017-08-21T07:30'), 4.25, 'local midnight', rotation=90, fontsize=15, color='blue', fontweight='bold')\n", - "\n", - "tFmt = mdates.DateFormatter(\"%H\") # an extended format for strftime() is \"%d/%m/%y %H:%M\"\n", - "t0, t1 = ctdF.time[0].values, ctdF.time[-1].values # establish same time range for each chart\n", - "tticks = [dt64('2017-08-21T06:00'), dt64('2017-08-21T12:00'), dt64('2017-08-21T18:00')]\n", - "\n", - "for i in rn: j, k = i//3, i%3; a[j, k].set(xlim=(t0, t1),xticks=tticks); a[j, k].xaxis.set_major_formatter(tFmt)\n", - "print('')\n", - "```\n", - "\n", - "\n", - "Please note that Software Carpentry (Python) uses a post-facto approach to axes. \n", - "In what follows there is implicit use of numpy 'collapse data along a particular\n", - "dimension' using the `axis` keyword. So this is non-trivial code; but main point \n", - "it shows adding axes to the figure.\n", - "\n", - "```\n", - "fig = plt.figure(figsize=(10,3))\n", - "\n", - "axes1 = fig.add_subplot(1,3,1)\n", - "axes2 = fig.add_subplot(1,3,2)\n", - "axes3 = fig.add_subplot(1,3,3)\n", - "\n", - "avg_data = numpy.mean(data, axis=0)\n", - "min_data = numpy.min(data, axis=0)\n", - "max_data = numpy.max(data, axis=0)\n", - "```" - ] - }, - { - "cell_type": "markdown", - "id": "simple-contributor", - "metadata": {}, - "source": [ - "#### [Top](#Introduction) and [Table of Contents](#Table-of-Contents)\n", - "\n", - "\n", - "### Making animations\n", - "\n", - "[Top](#Introduction)\n" - ] - }, - { - "cell_type": "markdown", - "id": "1bca32a7", - "metadata": {}, - "source": [ - "This section was lifted from the BioOptics.ipynb notebook and simplified. It illustrates **overloading** a chart to \n", - "show multiple sensor profiles evolving over time (frames). It also illustrates using markers along a line plot to\n", - "emphasize observation spacing." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "qualified-content", - "metadata": {}, - "outputs": [], - "source": [ - "# This code creates the animation; requires some time so it is commented out for now.\n", - "# anim = animation.FuncAnimation(fig, AnimateChart, init_func=AnimateInit, \\\n", - "# frames=nframes, interval=250, blit=True, repeat=False)\n", - "#\n", - "# Use 'HTML(anim.to_html5_video())'' for direct playback\n", - "# anim.save(this_dir + '/Images/animations/multisensor_animation.mp4')" - ] - }, - { - "cell_type": "markdown", - "id": "773fe8b2", - "metadata": {}, - "source": [ - "### 3D Charts\n", - "\n", - "First chart encodes data as shade of green.\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ae9dd3bc", - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "from mpl_toolkits import mplot3d\n", - "import numpy as np\n", - "%matplotlib inline\n", - "\n", - "zline = np.linspace(0,15,1000)\n", - "xline = np.sin(zline)\n", - "yline = np.cos(zline)\n", - "\n", - "zdata = 15*np.random.random(100)\n", - "xdata = np.sin(zdata) + 0.1 * np.random.randn(100)\n", - "ydata = np.sin(zdata) + 0.1 * np.random.randn(100)\n", - "\n", - "ax=plt.axes(projection='3d')\n", - "ax.plot3D(xline, yline, zline, 'gray')\n", - "ax.scatter3D(xdata, ydata, zdata, c=zdata, cmap='Greens')\n", - "ax.view_init(20,35)" - ] - }, - { - "cell_type": "markdown", - "id": "2676a379", - "metadata": {}, - "source": [ - "Second chart derives data from the busy beaver algorithm: An automaton moving about on \n", - "a 2D plane. The rules are encoded as changes to a velocity vector v; and cells have a \n", - "binary 'visit' status that toggles on each arrival." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "16534102", - "metadata": {}, - "outputs": [], - "source": [ - "nt, ngrid = 500000, 61\n", - "Z, W, x, y, v = np.zeros((ngrid,ngrid), dtype=int), np.zeros((ngrid,ngrid), dtype=int), ngrid//2, ngrid//2, (1, 0)\n", - "\n", - "def newv(b, v):\n", - " if b == 0: return (v[1], -v[0])\n", - " else: return (-v[1], v[0])\n", - "\n", - "for n in range(nt):\n", - " if x < 0 or y < 0 or x >= ngrid or y >= ngrid: break\n", - " v = newv(Z[x][y], v)\n", - " Z[x][y] = 1 - Z[x][y]\n", - " W[x][y] += 1\n", - " x += v[0]\n", - " y += v[1]\n", - "\n", - "fig = plt.figure(figsize=(8,8))\n", - "ax = plt.axes(projection='3d')\n", - "xg, yg = np.linspace(0, ngrid - 1, ngrid), np.linspace(0, ngrid - 1, ngrid)\n", - "X, Y = np.meshgrid(xg, yg)\n", - "ax.plot_wireframe(X,Y,W,color='red')\n", - "ax.view_init(40,-80)" - ] - }, - { - "cell_type": "markdown", - "id": "568aeb1f", - "metadata": {}, - "source": [ - "### To do\n", - "\n", - "\n", - "Print some 3D view with a rotating reference view. Write each view to an image file; \n", - "and use that in a flip book sense to create an animation. See the animation code \n", - "preceding this section, above, and the bio-optics notebook.\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "id": "c230db14", - "metadata": {}, - "source": [ - "#### [Top](#Introduction) and [Table of Contents](#Table-of-Contents)\n", - "\n", - "\n", - "\n", - "## Binder-friendly playback\n", - "\n", - "\n", - "The cell above creates an animation file that is stored within this repository. \n", - "The cell below plays it back (for example in **binder**) to show multiple profile animations.\n", - "Nitrate is intermittent, appearing as a sky-blue line in 2 of every 9\n", - "frames. The remaining sensors are present in each frame.\n", - "\n", - "\n", - "There animation begins March 1 2021 and proceeds at a rate of nine frames (profiles) per day.\n", - "Change playback speed using the video settings control at lower right." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "raised-romantic", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "id": "c140be9c-5de3-4f74-bd73-096763176bbb", - "metadata": {}, - "source": [] - }, - { - "cell_type": "markdown", - "id": "neural-series", - "metadata": {}, - "source": [ - "#### [Top](#Introduction) and [Table of Contents](#Table-of-Contents)\n", - "\n", - "\n", - "\n", - "## Pandas Series and DataFrames\n", - "\n", - "[Top](#Introduction)\n", - "\n", - "### Summary\n", - "\n", - "### DataFrames\n", - "\n", - "DataFrames:\n", - "\n", - "* constructor takes `data=` and both `index` and `columns` arguments... \n", - " * ...2 dimensions only: higher dimensions and they say 'use XArray'\n", - " * ...and switching required a `.T` transpose\n", - "* indexing by column and row header values, separated as in `[column_header][row_header]`\n", - " * as this reverses order from ndarrays: Better confirm... seems to be the case\n", - " * skip index/columns: defaults to integers.\n", - " \n", - "Below this section we go into n-dimensional arrays in Numpy, the *ndarray*. Here we take this \n", - "for granted and look at the relationship with DataFrames." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "70d19076-e075-4d46-b0a0-d0715ffb18e8", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "ndarray from a list of lists (notice no comma delimiter):\n", - "\n", - " [['l' 'i' 's' 't' '1']\n", - " ['s' 'c' 'n' 'd' '2']\n", - " ['t' 'h' 'r' 'd' '3']] \n", - "\n", - "and indexing comparison: first [0][2] then [2][0]: s t\n", - "\n", - "and tuplesque indexing [0, 2] or [2, 0] equivalently gives: s t\n", - "\n", - "So ndarrays index [slow][fast] equivalent to [row][column]\n", - "\n", - "\n", - "\n", - "Now let's create a 2D ndarray of zeros that is 3 rows by 5 columns\n", - "used np.zeros((3,5)) to set up 3 rows / 5 columns of zeros\n", - "set [0,1] to 3 and [1][0] to 4:\n", - "\n", - "[[0. 3. 0. 0. 0.]\n", - " [4. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0.]]\n", - "\n", - "\n", - "So that first index is row, second index is column\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ] - } - ], - "source": [ - "###################\n", - "#\n", - "# A micro study of ndarray to DataFrame translation\n", - "#\n", - "###################\n", - "\n", - "import numpy as np\n", - "import pandas as pd\n", - "\n", - "# Here is an ndarray construction from a built list of lists (not used in what follows): \n", - "# arr = np.array([range(i, i+5) for i in [2, 4, 6]]) \n", - "# ... where the range() runs across columns; 2 4 6 are rows\n", - "\n", - "# ndarray construction: Notice all list elements are of the same type (strings)\n", - "arr = np.array([['l','i','s','t','1'],['s','c','n','d','2'],['t','h','r','d', '3']])\n", - "\n", - "print('\\nndarray from a list of lists (notice no comma delimiter):\\n\\n', arr, \\\n", - " '\\n\\nand indexing comparison: first [0][2] then [2][0]:', arr[0][2], arr[2][0]) \n", - "print('\\nand tuplesque indexing [0, 2] or [2, 0] equivalently gives:', arr[0,2], arr[2,0])\n", - "print('\\nSo ndarrays index [slow][fast] equivalent to [row][column]\\n\\n\\n')\n", - "\n", - "print(\"Now let's create a 2D ndarray of zeros that is 3 rows by 5 columns\")\n", - "\n", - "z = np.zeros((3,5))\n", - "\n", - "print(\"used np.zeros((3,5)) to set up 3 rows / 5 columns of zeros\")\n", - "print(\"set [0,1] to 3 and [1][0] to 4:\\n\")\n", - "z[0,1]=3\n", - "z[1][0]=4\n", - "print(z)\n", - "print('\\n\\nSo that first index is row, second index is column')\n", - "print('\\n\\n\\n\\n')" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "9f7268d6-98de-4611-b140-8a545aaf9e9a", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "ndarray from a list of lists (notice no comma delimiter):\n", - "\n", - " [['l' 'i' 's' 't' '1']\n", - " ['s' 'c' 'n' 'd' '2']\n", - " ['t' 'h' 'r' 'd' '3']] \n", - "\n", - "and indexing comparison: first [0][2] then [2][0]: s t\n", - "\n", - "and tuplesque indexing [0, 2] or [2, 0] equivalently gives: s t\n", - "\n", - "So ndarrays index [slow][fast] equivalent to [row][column]\n", - "\n", - "\n", - "Moving on to DataFrames:\n", - "\n", - "\n", - " col_a col_b col_c col_d col_e\n", - "2row l i s t 1\n", - "4row s c n d 2\n", - "6row t h r d 3 \n", - "\n", - "is a DataFrame from the ndarray; so now index [\"col_c\"][\"6row\"]: r\n", - "\n", - "Here is a Dataframe from a transpose of the ndarray\n", - "\n", - " 2row 4row 6row\n", - "col_a l s t\n", - "col_b i c h\n", - "col_c s n r\n", - "col_d t d d\n", - "col_e 1 2 3 \n", - "\n", - "indexing 2row then col_e: 1\n", - "\n", - "So the column of a DataFrame is indexed first, then the row: Reverses the sense of the 2D ndarray.\n", - "\n", - "Now skipping the \"index=\"\" argument so the row labels default to integers:\n", - "\n", - " col_a col_b col_c col_d col_e\n", - "0 l i s t 1\n", - "1 s c n d 2\n", - "2 t h r d 3 \n", - "\n", - "...so now indexing [\"col_d\"][0]: t \n", - "\n", - " 0 1 2 3 4\n", - "2row l i s t 1\n", - "4row s c n d 2\n", - "6row t h r d 3 \n", - "\n", - "having done it the other way: used index= but not columns=. Here is element [0][\"4row\"]: s\n", - "\n", - "\n", - "Starting from an XArray Dataset and using .to_dataframe() we arrive at a 2D structure.\n", - "\n", - "For example: df = ds_CTD.seawater_pressure.to_dataframe()\n", - " \n", - "The problem is that the resulting dataframe may not be indexed (row sense) using integers. A fix\n", - "is necessary to override the index and columns attributes of the dataframe, as in:\n", - " \n", - " df.index=range(len(df))\n", - " df.columns=range(1)\n", - " \n", - "results in a dataframe that one can index with integers [0] for column first then [n] for row.\n", - "This example came from the profile time series analysis to get ascent start times and so on.\n", - "The problem is it is a case of too much machinery. It is far simpler to use a pandas Series.\n" - ] - } - ], - "source": [ - "print('Moving on to DataFrames:\\n\\n')\n", - "\n", - "rowlist=[\"2row\", \"4row\", \"6row\"]\n", - "columnlist = [\"col_a\", \"col_b\", \"col_c\", \"col_d\", \"col_e\"]\n", - "df = pd.DataFrame(data=arr, index=rowlist, columns=columnlist)\n", - "\n", - "print(df, '\\n\\nis a DataFrame from the ndarray; so now index [\"col_c\"][\"6row\"]:', df['col_c']['6row'])\n", - "\n", - "df = pd.DataFrame(data=arr.T, index=columnlist, columns=rowlist)\n", - "\n", - "print('\\nHere is a Dataframe from a transpose of the ndarray\\n\\n', df, \\\n", - " '\\n\\nindexing 2row then col_e:', df['2row']['col_e'])\n", - "print('\\nSo the column of a DataFrame is indexed first, then the row: Reverses the sense of the 2D ndarray.\\n')\n", - "print('Now skipping the \"index=\"\" argument so the row labels default to integers:\\n')\n", - "\n", - "df = pd.DataFrame(data=arr, columns=columnlist)\n", - "\n", - "print(df, '\\n\\n...so now indexing [\"col_d\"][0]:', df['col_d'][0], '\\n')\n", - "\n", - "df = pd.DataFrame(data=arr, index=rowlist)\n", - "\n", - "print(df, '\\n\\nhaving done it the other way: used index= but not columns=. Here is element [0][\"4row\"]:', \\\n", - " df[0]['4row'])\n", - "\n", - "\n", - "print('\\n\\nStarting from an XArray Dataset and using .to_dataframe() we arrive at a 2D structure.\\n')\n", - "print('For example: df = ds_CTD.seawater_pressure.to_dataframe()')\n", - "print(' ')\n", - "print('The problem is that the resulting dataframe may not be indexed (row sense) using integers. A fix')\n", - "print('is necessary to override the index and columns attributes of the dataframe, as in:')\n", - "print(' ')\n", - "print(' df.index=range(len(df))')\n", - "print(' df.columns=range(1)')\n", - "print(' ')\n", - "print('results in a dataframe that one can index with integers [0] for column first then [n] for row.')\n", - "print('This example came from the profile time series analysis to get ascent start times and so on.')\n", - "print('The problem is it is a case of too much machinery. It is far simpler to use a pandas Series.')" - ] - }, - { - "cell_type": "markdown", - "id": "99d6a6de", - "metadata": {}, - "source": [ - "#### [Top](#Introduction) and [Table of Contents](#Table-of-Contents)\n", - "\n", - "\n", - "### Selecting based on a range\n", - "\n", - "\n", - "Suppose we have a DataFrame with a column of timestamps over a broad time range and we would like to focus on only a subset. \n", - "One approach would be to generate a smaller dataframe that meets the small time criterion and iterate over that.\n", - "\n", - "The following cell builds a pandas DataFrame with a date column; then creates a subset DataFrame where only rows in\n", - "a time range are preserved. This is done twice: First using conditional logic and then using the same with '.loc'. \n", - "('loc' and 'iloc' are location-based indexing, the first relying on labels and the second on integer position.)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "a58cc95e", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[numpy.datetime64('2020-10-11') 7 13 6]\n", - " [numpy.datetime64('2020-10-12') 7 9 6]\n", - " [numpy.datetime64('2020-10-13') 7 8 6]\n", - " [numpy.datetime64('2020-10-14') 7 5 6]\n", - " [numpy.datetime64('2020-10-15') 7 11 6]]\n", - "\n", - "arr[0][2] then [2][0]: 13 2020-10-13\n", - "\n", - "and tuplesque indexing [0, 2] or [2, 0] equivalently gives: 13 2020-10-13\n", - "\n", - "using conditionals:\n", - "\n", - " date data1 data2 data3\n", - "day3 2020-10-13 7 8 6\n", - "day4 2020-10-14 7 5 6 \n", - "\n", - "\n", - "using loc:\n", - "\n", - " date data1 data2 data3\n", - "day3 2020-10-13 7 8 6\n", - "day4 2020-10-14 7 5 6\n", - "\n", - "notice the results are identical; so it is an open question \"Why use `loc`?\"\n" - ] - } - ], - "source": [ - "from numpy import datetime64 as dt64, timedelta64 as td64\n", - "\n", - "t0=dt64('2020-10-11')\n", - "t1=dt64('2020-10-12')\n", - "t2=dt64('2020-10-13')\n", - "t3=dt64('2020-10-14')\n", - "t4=dt64('2020-10-15')\n", - "\n", - "r0 = dt64('2020-10-12')\n", - "r1 = dt64('2020-10-15')\n", - "\n", - "arr = np.array([[t0,7,13,6],[t1,7,9,6],[t2,7,8,6],[t3,7,5,6],[t4,7,11,6]])\n", - "\n", - "print(arr)\n", - "print('\\narr[0][2] then [2][0]:', arr[0][2], arr[2][0]) \n", - "print('\\nand tuplesque indexing [0, 2] or [2, 0] equivalently gives:', arr[0,2], arr[2,0])\n", - "\n", - "rowlist = [\"day1\", \"day2\",\"day3\",\"day4\",\"day5\"]\n", - "columnlist = [\"date\", \"data1\", \"data2\", \"data3\"]\n", - "df = pd.DataFrame(data=arr, index=rowlist, columns=columnlist)\n", - "\n", - "\n", - "df_conditional = df[(df['date'] > r0) & (df['date'] < r1)]\n", - "print('\\nusing conditionals:\\n\\n', df_conditional, '\\n')\n", - "\n", - "\n", - "df_loc = df.loc[(df['date'] > r0) & (df['date'] < r1)]\n", - "print('\\nusing loc:\\n\\n', df_loc)\n", - "\n", - "print('\\nnotice the results are identical; so it is an open question \"Why use `loc`?\"')" - ] - }, - { - "cell_type": "markdown", - "id": "celtic-following", - "metadata": {}, - "source": [ - "#### [Top](#Introduction) and [Table of Contents](#Table-of-Contents)\n", - "\n", - "\n", - "## Numpy ndarrays\n", - "\n", - "\n", - "* do not have row and column headers; whereas pandas DataFrames do have typed headers\n", - "* indexing has an equivalence of `[2][0]` to `[2,0]` \n", - " * The latter (with comma) is the presented way in PDSH\n", - " * This duality does not work for DataFrames\n", - "* has row-then-column index order...\n", - " * ....with three rows in `[['l','i','s','t','1'],['s','c','n','d','2'],['t','h','r','d','3']]` \n", - "* has slice by dimension as `start:stop:step` by default `0, len (this dimension), 1` \n", - " * ...exception: when `step` is negative `start` and `stop` are reversed\n", - " * ...multi-dimensional slices separated by commas\n", - " \n" - ] - }, - { - "cell_type": "markdown", - "id": "statistical-trade", - "metadata": {}, - "source": [ - "#### [Top](#Introduction) and [Table of Contents](#Table-of-Contents)\n", - "\n", - "\n", - "\n", - "## Time\n", - "\n", - "[Top](#Introduction)\n", - "\n", - "\n", - "### Summary\n", - "\n", - "There is time in association with data (when a sample was recorded) and time in association with\n", - "code development (how long did this cell take to run?) Let's look at both.\n", - "\n", - "\n", - "### Sample timing\n", - "\n", - "See PDSH-189. There are two time mechanisms in play: Python's built-in `datetime` and an improvement called\n", - "`datetime64` from **numpy** that enables *arrays* of dates, i.e. time series. \n", - "\n", - "\n", - "Consider these two ways of stipulating time slice arguments for `.sel()` applied to a DataSet.\n", - "First: Use a datetime64 with precision to minutes (or finer).\n", - "Second: Pass strings that are interpreted as days, inclusive. In pseudo-code: \n", - "\n", - "```\n", - "if do_precision: \n", - " t0 = dt64('2019-06-01T00:00')\n", - " t1 = dt64('2019-06-01T05:20')\n", - " dss = ds.sel(time=slice(t0, t1)) \n", - "else:\n", - " day1 = '24'\n", - " day2 = '27' # will be 'day 27 inclusive' giving four days of results\n", - " dss = ds.sel(time=slice('2019-06-' + day1, '2019-08-' + day2))\n", - "\n", - "len(dss.time)\n", - "```\n", - "\n", - "### Execution timing\n", - "\n", - "Time of execution in seconds: \n", - "\n", - "```\n", - "from time import time\n", - "\n", - "toc = time()\n", - "for i in range(12): j = i + 1\n", - "tic = time()\n", - "print(tic - toc)\n", - "\n", - "7.82012939453125e-05\n", - "```\n" - ] - }, - { - "cell_type": "markdown", - "id": "native-sellers", - "metadata": {}, - "source": [ - "#### [Introduction](#Introduction), [Contents](#Contents)\n", - "\n", - "\n", - "## ipywidgets\n", - "\n", - "\n", - "### Summary" - ] - }, - { - "cell_type": "markdown", - "id": "sticky-toolbox", - "metadata": {}, - "source": [ - "#### [Introduction](#Introduction) and [Contents](#Contents)\n", - "\n", - "\n", - "\n", - "## Holoview\n" - ] - }, - { - "cell_type": "markdown", - "id": "turkish-wesley", - "metadata": {}, - "source": [ - "## Instruments\n", - "\n", - "\n", - "### Specifically spectrophotometer (SP) and Nitrate\n", - "\n", - "\n", - "### Summary\n", - "\n", - "\n", - "The SP runs on ascent only, at about 3.7 samples per second. Compare nitrate that also runs \n", - "on ascent only at about 3 samples per minute. Nitrate data is fairly straightforward; SP \n", - "data is chaotic/messy. The objective is to reduce the SP to something interpretable.\n", - "\n", - "\n", - "### Deconstructing data: process pattern\n", - "\n", - "\n", - "- `ds = xr.open_dataset(fnm)` \n", - " - Data dispersed across files: Variant + wildcard: `ds = xr.open_mfdataset('data_with_*_.nc')`\n", - "- `obs` dimensional coordinate creates degeneracy over multiple files\n", - " - Use `.swap_dims` to swap time for `obs`\n", - "- `ds.time[0].values, ds.time[-1].values` gives a timespan but nothing about duty cycles\n", - " - 2019 spectrophotometer data at Oregon Slope Base: 86 channels, 7 million samples\n", - " - ...leading to...\n", - " - Only operates during midnight and noon ascent; at 3.7 samples per second\n", - " - Optical absorbance and beam attenuation are the two data types\n", - " - Data has frequent dropouts over calendar time\n", - " - Data has spikes that tend to register across all 86 channels\n", - " - Very poor documentation; even the SME report is cursory\n", - "\n", - "\n", - " \n", - "### Nitrate \n", - "\n", - " \n", - "This code follows suit the spectrophotometer. It is simpler because there is only a nitrate value \n", - "and no wavelength channel. \n", - "\n", - " \n", - "I kept the pressure bins the same even though the nitrate averates about 3 three samples or less per minute\n", - "during a 70 minute ascent. That's about three meters per minute so one sample per meter. Since the \n", - "spectrophotometer bin depth is 0.25 meters there are necessarily a lot of empty bins (bins with no data)\n", - "for the nitrate profile. \n", - "\n", - " \n", - "### Two open issues\n", - "\n", - "\n", - "A curious artifact of the situation is from a past bias: I had understood that the SCIP makes pauses \n", - "on descent to accommodate the nitrate sensor. I may be in error but now it looks like this sensor, \n", - "the nitrate sensor, is observing on ascent which is continuous. This leaves open the question of \n", - "why the pauses occur on the descent. If I have that right. \n", - "\n", - "\n", - "Finally there are two nitrate signals: 'samp' and 'dark'. This code addresses only 'samp' as 'dark'\n", - "is showing nothing of interest. So this is an open issue." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "super-pocket", - "metadata": {}, - "outputs": [], - "source": [ - "# Animation in Python is one thing. Animation in a Jupyter notebook is another.\n", - "# Animation in binder is yet another. Rather than try and bootstrap a lesson here\n", - "# I present a sequence of annotated steps that create an animation, save it as \n", - "# an .mp4 file, load it and run it: In a Jupyter notebook of course. Then we\n", - "# will see how it does in binder.\n", - "\n", - "# At some point in working on this I did a conda install ffmpeg. I am not clear \n", - "# right now on whether this was necessary or not; I suspect not.\n", - "\n", - "%matplotlib inline\n", - "\n", - "# With [the inline] backend activated with this line magic matplotlib command, the output \n", - "# of plotting commands is displayed inline within frontends like the Jupyter notebook, \n", - "# directly below the code cell that produced it. The resulting plots will then also be stored \n", - "# in the notebook document.\n", - "\n", - "# de rigeur, commented out here as this runs at the top of the notebook\n", - "# import numpy as np\n", - "# import matplotlib.pyplot as plt\n", - "\n", - "from matplotlib import animation, rc # animation provides tools to build chart-based animations.\n", - " # Each time Matplotlib loads, it defines a runtime configuration (rc) \n", - " # containing the default styles for every plot element you create. \n", - " # This configuration can be adjusted at any time using \n", - " # the plt. ... matplotlibrc file, which you can read about \n", - " # in the Matplotlib documentation.\n", - "\n", - "\n", - "from IPython.display import HTML, Video # HTML is ...?...\n", - " # Video is used for load/playback\n", - "\n", - "# First set up the figure, the axis, and the plot element we want to animate\n", - "fig, ax = plt.subplots()\n", - "\n", - "ax.set_xlim(( 0, 2))\n", - "ax.set_ylim((-2, 2))\n", - "\n", - "line, = ax.plot([], [], lw=2)\n", - "\n", - "# initialization function: plot the background of each frame\n", - "def init():\n", - " line.set_data([], [])\n", - " return (line,)\n", - "\n", - "# animation function. This is called sequentially\n", - "def animate(i):\n", - " x = np.linspace(0, 2, 1000)\n", - " y = np.sin(2 * np.pi * (x - 0.01 * i))\n", - " line.set_data(x, y)\n", - " return (line,)\n", - "\n", - "# call the animator. blit=True means only re-draw the parts that have changed.\n", - "anim = animation.FuncAnimation(fig, animate, init_func=init,\n", - " frames=100, interval=12, blit=True)\n", - "\n", - "HTML(anim.to_html5_video())\n", - "\n", - "# print(anim._repr_html_() is None) will be True\n", - "# anim" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "plain-functionality", - "metadata": {}, - "outputs": [], - "source": [ - "def update_line(num, data, line):\n", - " line.set_data(data[..., :num])\n", - " return line,\n", - "\n", - "fig1 = plt.figure()\n", - "\n", - "data = .05 + 0.9*np.random.rand(2, 200)\n", - "l, = plt.plot([], [], 'r-') # l, takes the 1-tuple returned by plt.plot() and grabs that first \n", - " # and only element; so it de-tuples it\n", - "\n", - "plt.xlim(0, 1); plt.ylim(0, 1); plt.xlabel('x'); plt.title('test')\n", - "\n", - "lines_anim = animation.FuncAnimation(fig1, update_line, 200, fargs=(data, l), interval=1, blit=True)\n", - "\n", - "# fargs are additional arguments to 'update_line()' in addition to the frame number: data and line\n", - "# interval is a time gap between frames (guess is milliseconds)\n", - "# blit is the idea of modifying only pixels that change from one frame to the next\n", - "\n", - "# For direct display use this: HTML(line_ani.to_html5_video())\n", - "lines_anim.save('./lines_tmp3.mp4') # save the animation to a file\n", - "Video(\"./lines_tmp3.mp4\") # One can add , embed=True" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "specific-plumbing", - "metadata": {}, - "outputs": [], - "source": [ - "fig2 = plt.figure()\n", - "\n", - "x = np.arange(-9, 10)\n", - "y = np.arange(-9, 10).reshape(-1, 1)\n", - "base = np.hypot(x, y)\n", - "ims = []\n", - "for add in np.arange(15):\n", - " ims.append((plt.pcolor(x, y, base + add, norm=plt.Normalize(0, 30)),))\n", - "\n", - "im_ani = animation.ArtistAnimation(fig2, ims, interval=50, repeat_delay=3000,\n", - " blit=True)\n", - "# To save this second animation with some metadata, use the following command:\n", - "# im_ani.save('im.mp4', metadata={'artist':'Guido'})\n", - "\n", - "HTML(im_ani.to_html5_video())" - ] - }, - { - "cell_type": "markdown", - "id": "responsible-client", - "metadata": {}, - "source": [ - "## Binder\n", - "\n", - "[Top](#Introduction)\n", - "\n", - "* Create a binder badge in the home page `README.md` of the repository. \n", - "\n", - "```\n", - "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh///HEAD)\n", - "\n", - "```\n", - "\n", - "* In `/binder` create `environment.yml` to match the working environment\n", - " * For this repo as of 10/23/2021 `binder/environment.yml` was: \n", - "\n", - "\n", - "```\n", - "channels:\n", - " - conda-forge\n", - "dependencies:\n", - " - python=3\n", - " - numpy\n", - " - pandas\n", - " - matplotlib\n", - " - netcdf4\n", - " - xarray\n", - " - ffmpeg\n", - "```\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "id": "89a502fd", - "metadata": {}, - "source": [ - "## Part 2 Sensors and Instruments\n", - "\n", - "\n", - "#### Code Archive\n", - "\n", - "\n", - "## [Contents](#Contents)\n", - "\n", - "\n", - "* [Nitrate](#Nitrate)\n", - "* [Mooring](#Mooring)\n", - "* [Spectral Irradiance](#Spectral-Irradiance)\n", - "* [Shallow Profiler](#Shallow-Profiler)\n", - "* [Coding Environment](#Coding-Environment)\n", - "* [OOI Data](#OOI-Data)\n", - "* [NetCDF](#NetCDF)\n", - "* [Depth And Time](#Depth-And-Time)\n", - "* [Data Features](#Data-Features)\n", - "* [wget](#wget)\n", - "* [Non OOI Data](#Non-OOI-Data)\n", - "* [Data Product Levels](#Data-Product-Levels)\n", - "* [OOI Terminology](#OOI-Terminology)\n", - "* [Diagnostics](#Diagnostics)\n", - "\n", - "\n", - "## Nitrate\n", - "\n", - "\n", - "```\n", - "ds_n03dark = xr.open_dataset(\"/data/rca/simpler/osb_sp_nutnr_a_dark_2019.nc\")\n", - "ds_n03samp = xr.open_dataset(\"/data/rca/simpler/osb_sp_nutnr_a_sample_2019.nc\")\n", - "\n", - "warnings.filterwarnings('ignore')\n", - "\n", - "include_charts = False\n", - "\n", - "m_strs = ['01', '02', '03', '04', '05', '06', '07', '08', '09'] # relevant 2019 months\n", - "m_days = [31, 28, 31, 30, 31, 30, 31, 31, 30] # days per month in 2019\n", - "\n", - "month_index = 0 # manage time via months and days; 0 is January\n", - "month_str = m_strs[month_index] \n", - "year_str = '2019'\n", - "\n", - "n_meters = 200\n", - "n_bins_per_meter = 4\n", - "halfbin = (1/2) * (1/n_bins_per_meter)\n", - "n_pressure_bins = n_meters * n_bins_per_meter\n", - "p_bounds = np.linspace(0., n_meters, n_pressure_bins + 1) # 801 bounds: 0., .25, ..., 200. \n", - "pressure = np.linspace(halfbin, n_meters - halfbin, n_pressure_bins) # 800 centers: 0.125, ..., 199.875 \n", - "nc_upper_bound = 40.\n", - "\n", - "ndays = m_days[month_index]\n", - "ndayplots, dayplotdays = 10, list(range(10))\n", - "\n", - "l_da_nc_midn, l_da_nc_noon = [], [] # these lists accumulate DataArrays by day\n", - "\n", - "if include_charts:\n", - " fig_height, fig_width, fig_n_across, fig_n_down = 4, 4, 2, ndayplots\n", - " fig, axs = plt.subplots(ndayplots, fig_n_across, figsize=(fig_width * fig_n_across, fig_height * fig_n_down), tight_layout=True)\n", - "\n", - "for day_index in range(ndays):\n", - " \n", - " day_str = day_of_month_to_string(day_index + 1); date_str = year_str + '-' + month_str + '-' + day_str\n", - " this_doy = doy(dt64(date_str))\n", - " clear_output(wait = True); print(\"on day\", day_str, 'i.e. doy', this_doy)\n", - " midn_start = date_str + 'T07:00:00'\n", - " midn_done = date_str + 'T10:00:00'\n", - " noon_start = date_str + 'T20:00:00'\n", - " noon_done = date_str + 'T23:00:00'\n", - "\n", - " # pull out OA and BA for both midnight and noon ascents; and swap in pressure for time\n", - " ds_midn = ds_n03samp.sel(time=slice(dt64(midn_start), dt64(midn_done))).swap_dims({'time':'int_ctd_pressure'})\n", - " ds_noon = ds_n03samp.sel(time=slice(dt64(noon_start), dt64(noon_done))).swap_dims({'time':'int_ctd_pressure'})\n", - " \n", - " # print('pressures:', ds_midn.int_ctd_pressure.size, ds_noon.int_ctd_pressure.size, '; times:', ds_midn.time.size, ds_noon.time.size) \n", - " midn = True if ds_midn.time.size > 0 else False\n", - " noon = True if ds_noon.time.size > 0 else False\n", - " \n", - " if midn:\n", - " da_nc_midn = ds_midn.nitrate_concentration.expand_dims({'doy':[this_doy]})\n", - " del da_nc_midn['time']\n", - " l_da_nc_midn.append(da_nc_midn.sortby('int_ctd_pressure').groupby_bins(\"int_ctd_pressure\", p_bounds, labels=pressure).mean().transpose('int_ctd_pressure_bins', 'doy'))\n", - " \n", - " if noon:\n", - " da_nc_noon = ds_noon.nitrate_concentration.expand_dims({'doy':[this_doy]})\n", - " del da_nc_noon['time']\n", - " l_da_nc_noon.append(da_nc_noon.sortby('int_ctd_pressure').groupby_bins(\"int_ctd_pressure\", p_bounds, labels=pressure).mean().transpose('int_ctd_pressure_bins', 'doy'))\n", - "\n", - " if include_charts and day_index in dayplotdays: # if this is a plotting day: Add to the chart repertoire\n", - "\n", - " dayplotindex = dayplotdays.index(day_index) \n", - "\n", - " if midn:\n", - " axs[dayplotindex][0].scatter(l_da_nc_midn[-1], pressure, marker=',', s=2., color='r') \n", - " axs[dayplotindex][0].set(xlim = (.0, nc_upper_bound), ylim = (200., 0.), title='NC midnight')\n", - " axs[dayplotindex][0].scatter(ds_midn.nitrate_concentration, ds_midn.int_ctd_pressure, marker=',', s=1., color='b'); \n", - " \n", - " if noon:\n", - " axs[dayplotindex][1].scatter(l_da_nc_noon[-1], pressure, marker=',', s=2., color='g')\n", - " axs[dayplotindex][1].set(xlim = (.0, nc_upper_bound), ylim = (200., 0.), title='NC noon')\n", - " axs[dayplotindex][1].scatter(ds_noon.nitrate_concentration, ds_noon.int_ctd_pressure, marker=',', s=1., color='k'); \n", - "\n", - "save_figure = False\n", - "if save_figure: fig.savefig('/home/ubuntu/chlorophyll/images/misc/nitrate_2019_JAN_1_to_10.png')\n", - "\n", - "save_nitrate_profiles = False\n", - "\n", - "if save_nitrate_profiles: \n", - " ds_nc_midn = xr.concat(l_da_nc_midn, dim=\"doy\").to_dataset(name='nitrate_concentration')\n", - " ds_nc_noon = xr.concat(l_da_nc_noon, dim=\"doy\").to_dataset(name='nitrate_concentration')\n", - "\n", - " ds_nc_midn.to_netcdf(\"/data1/nutnr/nc_midn_2019_01.nc\")\n", - " ds_nc_noon.to_netcdf(\"/data1/nutnr/nc_noon_2019_01.nc\")\n", - "```\n", - "\n", - "#### [Table of Contents](#Table-of-Contents)\n", - "\n", - "\n", - "## Mooring\n", - "\n", - "```\n", - "\"\"\"\n", - "Stand-alone code to plot a user-specified mooring extraction.\n", - "\"\"\"\n", - "from pathlib import Path\n", - "moor_fn = Path('/Users/pm8/Documents/LO_output/extract/cas6_v3_lo8b/'\n", - " +'moor/ooi/CE02_2018.01.01_2018.12.31.nc')\n", - "\n", - "import xarray as xr\n", - "import matplotlib.pyplot as plt\n", - "import pandas as pd\n", - "import numpy as np\n", - "\n", - "# load everything using xarray\n", - "ds = xr.load_dataset(moor_fn)\n", - "ot = ds.ocean_time.values\n", - "ot_dt = pd.to_datetime(ot)\n", - "t = (ot_dt - ot_dt[0]).total_seconds().to_numpy()\n", - "T = t/86400 # time in days from start\n", - "print('time step of mooring'.center(60,'-'))\n", - "print(t[1])\n", - "print('time limits'.center(60,'-'))\n", - "print('start ' + str(ot_dt[0]))\n", - "print('end ' + str(ot_dt[-1]))\n", - "print('info'.center(60,'-'))\n", - "VN_list = []\n", - "for vn in ds.data_vars:\n", - " print('%s %s' % (vn, ds[vn].shape))\n", - " VN_list.append(vn)\n", - " \n", - "# populate lists of variables to plot\n", - "vn2_list = ['zeta']\n", - "if 'shflux' in VN_list:\n", - " vn2_list += ['shflux', 'swrad']\n", - "vn3_list = []\n", - "if 'salt' in VN_list:\n", - " vn3_list += ['salt', 'temp']\n", - "if 'oxygen' in VN_list:\n", - " vn3_list += ['oxygen']\n", - "\n", - "# plot time series using a pandas DataFrame\n", - "df = pd.DataFrame(index=ot)\n", - "for vn in vn2_list:\n", - " df[vn] = ds[vn].values\n", - "for vn in vn3_list:\n", - " # the -1 means surface values\n", - " df[vn] = ds[vn][:, -1].values\n", - "\n", - "plt.close('all')\n", - "df.plot(subplots=True, figsize=(16,10))\n", - "plt.show()\n", - "```\n", - "\n", - "#### [Table of Contents](#Table-of-Contents)\n", - "\n", - "\n", - "## Spectral Irradiance\n", - "\n", - "### Introduction\n", - "\n", - " \n", - "This notebook should run in **`binder`**. It uses small datasets stored within this repo.\n", - "\n", - "The notebook charts\n", - "CTD data, dissolved oxygen, nitrate, PAR, spectral irradiance, fluorescence and pH in relation\n", - "to pressure/depth. The focus is\n", - "shallow (photic zone) profilers from the Regional Cabled Array component of OOI.\n", - "Specifically the Oregon Slope Base site in 2019. Oregon Slope Base is an instrumentation\n", - "site off the continental shelf west of the state of Oregon.\n", - "\n", - "\n", - "\n", - "### Photic Zone CTD and other low data rate sensors\n", - "\n", - "\n", - "The 'photic zone' is the upper layer of the ocean regularly illuminated by sunlight. This set of photic zone \n", - "notebooks concerns sensor data from the surface to about 200 meters depth. Data are acquired from two to nine\n", - "times per day by shallow profilers. This notebook covers CTD (salinity \n", - "and temperature), dissolved oxygen, nitrate, pH, spectral irradiance, fluorometry and photosynthetically \n", - "available radiation (PAR). \n", - "\n", - "\n", - "Data are first taken from the Regional Cabled Array shallow profilers and platforms. A word of explanation here: The\n", - "profilers rise and then fall over the course of about 80 minutes, nine times per day, from a depth of 200 meters\n", - "to within about 10 meters of the surface. As the ascend and descend they record data. The resting location in\n", - "between these excursions is a platform 200 meters below the surface that is anchored to the see floor. The platform\n", - "also carries sensors that measure basic ocean water properties.\n", - "\n", - "\n", - "Research ship Revelle in the southern ocean: 100 meters in length. \n", - "Note: Ninety percent of this iceberg is beneath the surface. \n", - "\n", - "\n", - "More on the Regional Cabled Array oceanography program [here](https://interactiveoceans.washington.edu).\n", - " \n", - " \n", - "### Study site locations\n", - " \n", - "\n", - "We begin with three sites in the northeast Pacific: \n", - " \n", - "\n", - "```\n", - "Site name Lat Lon\n", - "------------------ --- ---\n", - "Oregon Offshore 44.37415 -124.95648\n", - "Oregon Slope Base 44.52897 -125.38966 \n", - "Axial Base 45.83049 -129.75326\n", - "``` \n", - "\n", - "\n", - "* The data variable is `spkir_downwelling_vector` x 7 wavelengths per below\n", - "* 9 months continuous operation at about 4 samples per second gives 91 million samples\n", - "* DataSet includes `int_ctd_pressure` and `time` Coordinates; Dimensions are `spectra` (0--6) and `time`\n", - "* Oregon Slope Base `node : SF01A`, `id : RS01SBPS-SF01A-3D-SPKIRA101-streamed-spkir_data_record`\n", - "* Correct would be to plot these as a sequence of rainbow plots with depth, etc\n", - "\n", - "See [Interactive Oceans](https://interactiveoceans.washington.edu/instruments/spectral-irradiance-sensor/): \n", - "\n", - "\n", - "> The Spectral Irradiance sensor (Satlantic OCR-507 multispectral radiometer) measures the amount of \n", - "> downwelling radiation (light energy) per unit area that reaches a surface. Radiation is measured \n", - "> and reported separately for a series of seven wavelength bands (412, 443, 490, 510, 555, 620, \n", - "> and 683 nm), each between 10-20 nm wide. These measurements depend on the natural illumination \n", - "> conditions of sunlight and measure apparent optical properties. These measurements also are used \n", - "> as proxy measurements of important biogeochemical variables in the ocean.\n", - ">\n", - "> Spectral Irradiance sensors are installed on the Science Pods on the Shallow Profiler Moorings \n", - "> at Axial Base (SF01A), Slope Base (SF01A), and at the Endurance Array Offshore (SF01B) sites. \n", - "> Instruments on the Cabled Array are provided by Satlantic – OCR-507. \n", - "\n", - "\n", - "```\n", - "spectral_irradiance_source = './data/rca/irradiance/'\n", - "ds_irradiance = [xr.open_dataset(spectral_irradiance_source + 'osb_sp_irr_spec' + str(i) + '.nc') for i in range(7)]\n", - "\n", - "# Early attempt at using log crashed the kernel\n", - "\n", - "day_of_month_start = '25'\n", - "day_of_month_end = '27'\n", - "time0 = dt64('2019-01-' + day_of_month_start)\n", - "time1 = dt64('2019-01-' + day_of_month_end)\n", - "\n", - "spectral_irradiance_upper_bound = 10.\n", - "spectral_irradiance_lower_bound = 0.\n", - "ds_irr_time_slice = [ds_irradiance[i].sel(time = slice(time0, time1)) for i in range(7)]\n", - "\n", - "fig, axs = plt.subplots(figsize=(12,8), tight_layout=True)\n", - "colorwheel = ['k', 'r', 'y', 'g', 'c', 'b', 'm']\n", - "for i in range(7):\n", - " axs.plot(ds_irr_time_slice[i].spkir_downwelling_vector, \\\n", - " ds_irr_time_slice[i].int_ctd_pressure, marker='.', markersize = 4., color=colorwheel[i])\n", - " \n", - "axs.set(xlim = (spectral_irradiance_lower_bound, spectral_irradiance_upper_bound), \\\n", - " ylim = (60., 0.), title='multiple profiles: spectral irradiance')\n", - "\n", - "\n", - "plt.show()\n", - "```\n", - "\n", - "\n", - "\n", - "## Shallow Profiler\n", - "\n", - "\n", - "### Working with shallow profiler ascent/descent/rest cycles\n", - "\n", - "\n", - "This topic is out of sequence intentionally. The topics that follow are in more of a logical order.\n", - "\n", - "\n", - "\n", - "\n", - "The issue at hand is that the shallow profiler ascends and descends and rests about nine times per\n", - "day; but the time of day when these events happen is not perfectly fixed. As a result we need \n", - "a means to identify the start and end times of (say) an ascent so that we can be confident that\n", - "the data were in fact acquired as the profiler ascended through the water column. This is also \n", - "useful for comparing ascent to descent data or comparing profiler-at-rest data to platform data\n", - "(since the profiler is at rest *on* the platform).\n", - "\n", - "\n", - "\n", - "To restate the task: From a conceptual { time window } we would like very specific { metadata }\n", - "for time windows when the profiler ascended while collecting data. \n", - "That is, we want accurate subsidiary time windows for successive profiles within our conceptual\n", - "time window; per site and year.\n", - "We can then use these specific { time window } boundaries to select data\n", - "subsets from corresponding profiling runs. \n", - "\n", - "\n", - "\n", - "The first step in this process is to get CTD data for the shallow profiler since it will have a\n", - "record of depth over time. This record is scanned in one-year chunks to identify the UTM start\n", - "times of each successive profile. Also determined: The start times of descents and the start times of rests. \n", - "\n", - "\n", - "\n", - "From these three sets of timestamps we can make the assumption that the end of an \n", - "ascent corresponds to the start of a descent. Likewise the end of a descent is the start of \n", - "a rest; and the start of an ascent is the end of the previous rest. Each ascent / descent / rest\n", - "interval is considered as one profile (in that order). The results are written to a CSV file\n", - "that has one row of timing metadata per profile. \n", - "\n", - "\n", - "\n", - "Now suppose the goal is to create a sequence of temperature plots for July 2019 for the Axial \n", - "Base shallow profiler. First we would identify the pre-existing CSV file for Axial Base for the\n", - "year 2019 and read that file into a pandas Dataframe. Let's suppose it is read into a profile\n", - "Dataframe called `p` and that we have labled the six columns that correspond to\n", - "ascent start/end, descent start/end and rest start/ned. Here is example code from `BioOpticsModule.py`.\n", - "\n", - "\n", - "```\n", - "p = pd.read_csv(metadata_filename, usecols=[\"1\", \"3\", \"5\", \"7\", \"9\", \"11\"])\n", - "p.columns = ['ascent_start', 'ascent_end', 'descent_start', 'descent_end', 'rest_start', 'rest_end']\n", - "p['ascent_start'] = pd.to_datetime(pDf['ascent_start'])\n", - "p['ascent_end'] = pd.to_datetime(pDf['ascent_end'])\n", - "p['descent_start'] = pd.to_datetime(pDf['descent_start'])\n", - "p['descent_end'] = pd.to_datetime(pDf['descent_end'])\n", - "p['rest_start'] = pd.to_datetime(pDf['rest_start'])\n", - "p['rest_end'] = pd.to_datetime(pDf['rest_end'])\n", - "```\n", - "\n", - "\n", - "\n", - "Let's examine two rows of this Dataframe:\n", - "\n", - "\n", - "\n", - "```\n", - "print(p['ascent_start'][0])\n", - "\n", - "2019-01-01 00:27:00\n", - "\n", - "print(p['ascent_start'][1600])\n", - "\n", - "2019-07-04 15:47:00\n", - "```\n", - "\n", - "\n", - "That is, row 0 corresponds to the start of 2019, January 1, and row 1600 occurs on July 4.\n", - "\n", - "\n", - "For a 365 day year with no\n", - "missed profiles (9 profiles per day) this file would contain 365 * 9 = 3285 profiles. In practice\n", - "there will be fewer owing to storms or other factors that interrupt data acquisition. \n", - "\n", - "\n", - "Each row of this dataframe corresponds to a profile run (ascent, descent, rest) of the shallow\n", - "profiler. Consequently we could use the time boundaries of one such row to select data that was\n", - "acquired *during the ascent period of that profile*. Suppose a temperature dataset for the month of July \n", - "is called `T`. `T` is constructed as an xarray Dataset with dimension `time`. \n", - "We can use the xarray *select* method `.sel`, as in `T.sel(time=slice(time0, time1))`, to\n", - "produce a Dataset with only times \n", - "that fall within a profile ascent window. \n", - "\n", - "\n", - "```\n", - "time0 = p['ascent_start'][1600]\n", - "time1 = p['ascent_end'][1600]\n", - "T_ascent = T.sel(time=slice(time0, time1))\n", - "```\n", - "\n", - "\n", - "Now `T_ascent` will contain about 60 minutes worth of data. \n", - "\n", - "\n", - "\n", - "This demonstrates loading time boundaries from the metadata `p`. \n", - "The metadata informs the small time box. Now we need the other direction \n", - "as well: Suppose the interval of interest is the first four days of July 2019.\n", - "We have no idea which rows of the metadata `p` this corresponds to. We need\n", - "a list of row indices for `p` in that time window. For this we \n", - "have a utility function.\n", - "\n", - "\n", - "```\n", - "def GenerateTimeWindowIndices(pDf, date0, date1, time0, time1):\n", - " '''\n", - " Given two day boundaries and a time window (UTC) within a day: Return a list\n", - " of indices of profiles that start within both the day and time bounds. This \n", - " works from the passed dataframe of profile times.\n", - " '''\n", - " nprofiles = len(pDf)\n", - " pIndices = []\n", - " for i in range(nprofiles):\n", - " a0 = pDf[\"ascent_start\"][i]\n", - " if a0 >= date0 and a0 <= date1 + td64(1, 'D'):\n", - " delta_t = a0 - dt64(a0.date())\n", - " if delta_t >= time0 and delta_t <= time1: pIndices.append(i)\n", - " return pIndices\n", - "```\n", - "\n", - "This function has both a date range and a time-of-day range. The resulting row index list corresponds\n", - "to profiles that satisfy both time window constraints: Date and time of day. \n", - "\n", - "\n", - "The end-result is this: We can go from a conceptual { time window } to a list of { metadata rows }, i.e. a\n", - "list of integer row numbers, using the above utility function. Within the metadata structure `p` we can \n", - "use these rows to look up ascent / descent / rest times for profiles.\n", - "At that point we have very specific { time window } boundaries for selecting data\n", - "from individual profiles. \n", - "\n", - "\n", - "* order data\n", - "* clean the data to regular 1Min samples\n", - "* scan the data for profiles; write these to CSV files\n", - "* load in a profile list for a particular site and year\n", - "\n", - "\n", - "Now we start charting this data. We'll begin with six signals, three each from the CTD and the fluorometer. \n", - "Always we have two possible axes: Depth and time. Most often we chart against depth using the y-axis and \n", - "measuring from a depth of 200 meters at the bottom to the surface at the top of the chart. \n", - "\n", - "\n", - "CTD signals\n", - "\n", - "\n", - "* Temperature\n", - "* Salinity\n", - "* Dissolved oxygen\n", - "\n", - "\n", - "Fluorometer signals\n", - "\n", - "\n", - "* CDOM: Color Dissolved Organic Matter)\n", - "* chlor-a: Chlorophyll pigment A\n", - "* scatt: Backscatter\n", - "\n", - "\n", - "The other sensor signals will be introduced subsequently. These include nitrate concentration,\n", - "pH, pCO2, PAR, spectral irradiance, local current and water density. \n", - "\n", - "\n", - "\n", - "\n", - "```\n", - "# Create a pandas DataFrame: Six columns of datetimes for a particular year and site\n", - "# The six columns are start/end for, in order: ascent, descent, rest: See column labels below.\n", - "def ReadProfiles(fnm):\n", - " \"\"\"\n", - " Profiles are saved by site and year as 12-tuples. Here we read only\n", - " the datetimes (not the indices) so there are only six values. These\n", - " are converted to Timestamps. They correspond to ascend start/end, \n", - " descend start/end and rest start/end.\n", - " \"\"\"\n", - " df = pd.read_csv(fnm, usecols=[\"1\", \"3\", \"5\", \"7\", \"9\", \"11\"])\n", - " df.columns=['ascent_start', 'ascent_end', 'descent_start', 'descent_end', 'rest_start', 'rest_end']\n", - " df['ascent_start'] = pd.to_datetime(df['ascent_start'])\n", - " df['ascent_end'] = pd.to_datetime(df['ascent_end'])\n", - " df['descent_start'] = pd.to_datetime(df['descent_start'])\n", - " df['descent_end'] = pd.to_datetime(df['descent_end'])\n", - " df['rest_start'] = pd.to_datetime(df['rest_start'])\n", - " df['rest_end'] = pd.to_datetime(df['rest_end'])\n", - " return df\n", - "\n", - "\n", - "# FilterSignal() operates on a time series DataArray passed in as 'v'. It is set up to point to multiple possible\n", - "# smoothing kernels but has just one at the moment, called 'hat'.\n", - "def FilterSignal(v, ftype='hat', control1=3):\n", - " \"\"\"Operate on an XArray data array (with some checks) to produce a filtered version\"\"\"\n", - " # pre-checks\n", - " if not v.dims[0] == 'time': return v\n", - "\n", - " if ftype == 'hat': \n", - " n_passes = control1 # should be a kwarg\n", - " len_v = len(v)\n", - " for n in range(n_passes):\n", - " source_data = np.copy(v) if n == 0 else np.copy(smooth_data)\n", - " smooth_data = [source_data[i] if i == 0 or i == len_v - 1 else \\\n", - " 0.5 * source_data[i] + 0.25 * (source_data[i-1] + source_data[i + 1]) \\\n", - " for i in range(len_v)]\n", - " return smooth_data\n", - " return v\n", - "\n", - "```\n", - "\n", - "\n", - "\n", - "#### [Table of Contents](#table-of-contents)\n", - "\n", - "\n", - "## Coding Environment\n", - "\n", - "\n", - "### bash, text editor, git, GitHub\n", - "\n", - "\n", - "### running a Jupyter notebook server (code and markdown)\n", - "\n", - "\n", - "- I learn the basic commands of the `bash` shell; including how to use a text editor like `nano` or `vim`\n", - "- I create an account at `github.com` and learn to use the basic `git` commands\n", - " - `git pull`, `git add`, `git commit`, `git push`, `git clone`, `git stash`\n", - " - I plan to spend a couple of hours learning `git`; I find good YouTube tutorials\n", - "- I create my own GitHub repository with a `README.md` file describing my research goals\n", - "- I set up a Jupyter notebook server on my local machine\n", - " - As I am using a PC I install WSL-2 (Windows Subsystem for Linux v2)...\n", - " - ...and install Miniconda plus some Python libraries\n", - "- I clone my \"empty\" repository from GitHub to my local Linux environment\n", - "- I start my Jupyter notebook server, navigate to my repo, and create a first notebook\n", - "- I save my notebook and use `git add, commit, push` to save it safely on GitHub\n", - "- On GitHub: Add and test a **`binder`** badge\n", - " - Once that works, be sure to `git pull` the modified GitHub repo back into the local copy\n", - "\n", - "#### [Table of Contents](#Table-of-Contents)\n", - "\n", - "\n", - "## OOI Data\n", - "\n", - "\n", - "### Ordering, retrieving and cleaning datasets from OOI\n", - "\n", - "\n", - "At this point we do not have any data; so let's do that next. There are two important considerations. \n", - "First: If the data volume will exceed 100MB: That is too much to keep in a GitHub repository. The\n", - "data must be staged \"nearby\" in the local environment; outside the repository but accessible by\n", - "the repository code, as in:\n", - "\n", - "\n", - "```\n", - " ------------- /repo directory\n", - " /\n", - "/home --------\n", - " \\\n", - " -------------- /data directory\n", - "\n", - "```\n", - "\n", - "\n", - "Second: Suppose the repo *does* contain (smaller) datasets, to be read by the code. \n", - "If the intent is to use `binder` to make a sandbox version of the repo\n", - "available, all significant changes to this code should be tested: First locally\n", - "and then (after a `push` to GitHub) ***in `binder`***. This ensures that not too \n", - "many changes pile up, breaking binder in mysterious and hard-to-debug ways.\n", - "\n", - "\n", - "\n", - "\n", - "Now that we have a dataset let's open it up and examine it within a Notebook.\n", - "The data are presumed to be in NetCDF format; so we follow common practice of\n", - "reading the data into an `xarray Dataset` which is a composition of `xarray\n", - "DataArrays`. There is a certain amount of learning here, particularly as this\n", - "library shares some Python DNA with `pandas` and `numpy`. Deconstructing an\n", - "`xarray Dataset` can be very challenging; so a certain amount of ink is devoted\n", - "to that process in this repo.\n", - "\n", - "#### [Table of Contents](#Table-of-Contents)\n", - "\n", - "\n", - "## NetCDF\n", - "\n", - "\n", - "### Open and subset a NetCDF data file via the `xarray Dataset` \n", - "\n", - "\n", - "Data provided by OOI tends to be \"not ready for use\". There are several steps needed; and\n", - "these are not automated. They require some interactive thought and refinement. \n", - "\n", - "\n", - "- Convert the principal dimension from `obs` or `row` to `time` \n", - " - `obs/row` are generic terms with values running 1, 2, 3... (hinders combining files into longer time series)\n", - "- Re-name certain data variables for easier use; and delete anything that is not of interest\n", - "- Identify the time range of interest\n", - "- Write a specific subset file\n", - " - For example: Subset files that are small can live within the repo\n", - "\n", - "\n", - "```\n", - "# This code runs 'one line at a time' (not as a block) to iteratively streamline the data\n", - "\n", - "# Suggestion: Pay particular attention to the construct ds = ds.some_operation(). This ensures \n", - "# that the results of some_operation() are retained in the new version of the Dataset. \n", - "\n", - "ds = xr.open_dataset(filename)\n", - "ds # notice the output will show dimension as \"row\" and \"time\" as a data variable\n", - "\n", - "\n", - "ds = ds.swap_dims({'row': 'time'}) # moves 'time' into the dimension slot\n", - "ds = ds.rename({'some_ridiculously_long_data_variable_name':'temperature'})\n", - "ds = ds.drop('some_data_variable_that_has_no_interest_at_this_point')\n", - "\n", - "\n", - "ds = ds.dropna('time') # if any data variable value == 'NaN' this entry is deleted: Includes all\n", - " # corresponding data variable values, corresponding coordinates and \n", - " # the corresponding dimension value. This enables plotting data such\n", - " # as pH that happens to be rife with NaNs. \n", - "\n", - "ds.z.plot() # this produces a simple chart showing gaps in the data record\n", - "ds.somedata.mean() # prints the mean of the given data variable\n", - "\n", - "ta0 = dt64_from_doy(2021, 60) # these time boundaries are set iteratively...\n", - "ta1 = dt64_from_doy(2021, 91) # ...to focus in on a particular time range with known data...\n", - "ds.sel(time=slice(ta0, ta1)).z.plot() # ...where this plot is the proof\n", - "\n", - "\n", - "ds.sel(time=slice(ta0, ta1)).to_netcdf(outputfile) # writes a time-bounded data subset to a new NetCDF file\n", - "```\n", - "\n", - "#### [Table of Contents](#Table-of-Contents)\n", - "\n", - "\n", - "## Depth And Time\n", - "\n", - "\n", - "Datasets have a depth attribute `z` and a time dimension `time`. These are derived by the data \n", - "system and permit showing sensor values (like temperature) either in terms of depth below the \n", - "surface; or in time relative to some benchmark. \n", - "\n", - "#### [Table of Contents](#Table-of-Contents)\n", - "\n", - "\n", - "## Data Features\n", - "\n", - "\n", - "- Some signals may have dropouts: Missing data is usually flagged as `NaN`\n", - " - See the section above on using the xarray `.dropna(dimension)` feature to clean this up\n", - "- Nitrate data also features ***dark sample*** data\n", - "- Spectrophotometer instruments measure both ***optical absorption*** and ***beam attenuation***\n", - " - For both of these about 82 individual channel values are recorded\n", - " - Each channel is centered at a unique wavelength in the visible spectrum\n", - " - The wavelength channels are separated by about 4 nm\n", - " - The data are noisy\n", - " - Some channels contain no data\n", - " - Sampling frequency needed\n", - "- Spectral irradiance carries seven channels (wavelengths) of data\n", - "- Current measurements give three axis results: north, east, up\n", - " - ADCP details needed\n", - "\n", - "#### [Contents](#Contents)\n", - "\n", - "\n", - "## Non OOI Data: ROMS, ARGO, MODIS, GLODAP, MSLA\n", - "\n", - "\n", - "### ROMS\n", - "\n", - "\n", - "### ARGO\n", - "\n", - "\n", - "### MODIS\n", - "\n", - "\n", - "### GLODAP\n", - "\n", - "\n", - "### MSLA\n", - "\n", - "\n", - "\n", - "#### [Contents](#Contents)\n", - "\n", - "\n", - "## Data Product Levels\n", - "\n", - "\n", - "The \n", - "[OOI Data Catalog Documentation](https://dataexplorer.oceanobservatories.org/help/overview.html#data-products) \n", - "describes three levels of data product, summarized: \n", - "\n", - "\n", - "* Level 1 ***Instrument deployment***: Unprocessed, parsed data parameter that is in instrument/sensor \n", - "units and resolution. See note below defining a *deployment*. This is not data we are interested in using, as a rule.\n", - "\n", - "\n", - "* Level 1+ ***Full-instrument time series***: A join of recovered and telemetered \n", - "streams for non-cabled instrument deployments. For high-resolution cabled and recovered data, this product is \n", - "binned to 1-minute resolution to allow for efficient visualization and downloads for users that do not need \n", - "the full-resolution, gold copy (Level 2) time series. We'd like to hold out for 'gold standard'.\n", - "\n", - "\n", - "* Level 2 ***Full-resolution, gold standard time series***: The calibrated full-resolution dataset \n", - "(scientific units). L2 data have been processed, pre-built, and served \n", - "from the OOI system to the \n", - "[OOI Data Explorer](https://dataexplorer.oceanobservatories.org/)\n", - "and to Users. The mechanisms are THREDDS and ERDDAP; file format \n", - "NetCDF-CF. There is one file for every instrument, stream, and deployment. For more refer to this\n", - "[Data Download](https://dataexplorer.oceanobservatories.org/help/overview.html#download-data-map-overview) link.\n", - "\n", - "#### [Contents](#Contents)\n", - "\n", - "\n", - "## Computing Infrastructure\n", - "\n", - "\n", - "- bash\n", - "- editors\n", - "- git\n", - "- GitHub\n", - "- Python\n", - "- nbpuller\n", - "- binder\n", - "- wget\n", - "- pickle\n", - "- modules\n", - "- `conda` \n", - " - environments\n", - " - vocabulary\n", - " - generating replicators\n", - "\n", - "\n", - "#### wget\n", - "\n", - "\n", - "`wget` can be used recursively to copy files from the web, i.e. to make local copies.\n", - "`wget` used in the **Global Ocean** notebook to get 500MB of data from the \n", - "cloud that would otherwise make the repository too bulky for GitHub. \n", - "\n", - "\n", - "Example usage, typically run from the command line, run from a Jupyter notebook\n", - "cell, or placed in a `bash` script:\n", - "\n", - "\n", - "```\n", - "wget -q https://kilroybackup.s3.us-west-2.amazonaws.com/glodap/GLODAPv2.2016b.NO3.nc -O glodap/NO3.nc\n", - "```\n", - "\n", - "The `-q` flag suppresses output ('quiet') and `-O` specifies the local name of the data file.\n", - "\n", - "\n", - "\n", - "### Jupyter servers \n", - "\n", - "- Littlest and so on\n", - "\n", - "\n", - "\n", - "\n", - "## flag move up to RCA OOI Terminology\n", - "\n", - "\n", - "\n", - "- **instrument**: A physical device with one or more sensors.\n", - "- **stream**: Sensor data.\n", - "- **deployment**: The act of putting infrastructure in the water, or the length of \n", - "time between a platform going in the water and being recovered and brought back to shore.There are \n", - "multiple deployment files per instrument. \n", - "\n", - "\n", - "\n", - "## Diagnostics\n", - "\n", - "\n", - "```\n", - "#########################\n", - "#\n", - "# Profiler diagnostic view\n", - "#\n", - "#########################\n", - "\n", - "# This is a diagnostic for a sequence of four profiles:\n", - "\n", - "for i in [503, 504, 505, 506]: print(i, 'profile start / end:', pDf21[\"ascent_start\"][i], \\\n", - " pDf21[\"descent_end\"][i], ' duration: ', pDf21[\"descent_end\"][i] - pDf21[\"ascent_start\"][i]) \n", - "\n", - "# Results, noting the fourth one is a midnight (slow descent) profile\n", - "\n", - "503 profile start / end: 2021-03-01 00:27:00 2021-03-01 02:05:00 duration: 0 days 01:38:00\n", - "504 profile start / end: 2021-03-01 02:42:00 2021-03-01 04:21:00 duration: 0 days 01:39:00\n", - "505 profile start / end: 2021-03-01 04:52:00 2021-03-01 06:31:00 duration: 0 days 01:39:00\n", - "506 profile start / end: 2021-03-01 07:22:00 2021-03-01 10:03:00 duration: 0 days 02:41:00\n", - "\n", - "# Profile 506 is an hour longer in duration than the three prior. The profiler pauses during descent\n", - "# to give the pH sensor time to equilibrate. The following chart shows depth with time over 24 hours\n", - "# including slowed descents for midnight and noon.\n", - "\n", - "#####################\n", - "#\n", - "# Saving a figure\n", - "#\n", - "#####################\n", - "\n", - "fig.savefig(os.getcwd() + \"/Images/charts/ABCOST_signals_vs_depth_and_time.png\")\n", - "\n", - "#####################\n", - "#\n", - "# Generate / Save / Play Back an animated chart\n", - "#\n", - "#####################\n", - "\n", - "# This code (animate / playback / save) takes time to run so commented out by default\n", - "# if False: \n", - " # anim = animation.FuncAnimation(fig, AnimateChart, init_func=AnimateInit, \\\n", - " # frames=nframes, interval=200, blit=True, repeat=False)\n", - " # play immediately: HTML(anim.to_html5_video())\n", - " # anim.save(this_dir + '/Images/animations/multisensor_animation.mp4')\n", - " \n", - " \n", - "#######################################\n", - "#\n", - "# Specific to BioOptics: Generate a five-signal animation\n", - "#\n", - "#######################################\n", - "\n", - "\n", - "# Animated time series\n", - "\n", - "site = 'osb'\n", - "year = '2021'\n", - "pDf21 = ReadProfileMetadata(os.getcwd() + \"/./Profiles/\" + site + year + \".csv\") \n", - "\n", - "firstframe = 506 # march 1 in 2021 at OSB\n", - "nframes = 279 # 279 max for one month\n", - "ncharts = 5\n", - "\n", - "fig, axs = plt.subplots(figsize=(12.5,14), tight_layout=True)\n", - "\n", - "# configuration lists with seven elements each, one for each sensor\n", - "clr = ['red', 'black', 'xkcd:bronze', 'green', 'magenta']\n", - "lows = [temp_lo, salinity_lo, do_lo, chlora_lo, cdom_lo]\n", - "highs = [temp_hi, salinity_hi, do_hi, chlora_hi, cdom_hi]\n", - "lbls = [\"Temperature\",\"Salinity\",\"Dissolved Oxygen\",\"Chlorophyll-A\",\"CDOM\"]\n", - "offs = [1.0, 1.065, 1.130, 1.195, 1.260]\n", - "mrkrs = ['o', 's', 'D', 'v', '^']\n", - "\n", - "axs.set_title('Temp, Salinity, DO, Chl-A, CDOM with Depth/Time')\n", - "axs.title.set_fontsize(22)\n", - "axs.yaxis.label.set_color('k')\n", - "axs.yaxis.label.set_fontsize(18)\n", - "axs.set_ylabel(\"Depth (m)\")\n", - "\n", - "axs.xaxis.label.set_fontsize(18)\n", - "\n", - "atw = [axs.twiny() for i in range(ncharts)] # twin y-axes supporting the multiple sensor types\n", - "\n", - "# Configures all of the twin axes per the above configuration lists\n", - "for i in range(ncharts): \n", - " atw[i].set(xlim = (lows[i], highs[i]), ylim = (-200., 0.))\n", - " atw[i].xaxis.label.set_fontsize(18)\n", - " atw[i].set_xlabel(lbls[i])\n", - " atw[i].xaxis.set_ticks_position('top')\n", - " atw[i].spines['top'].set_position(('axes', offs[i]))\n", - " atw[i].xaxis.label.set_color(clr[i])\n", - " atw[i].tick_params(axis='x', colors=clr[i], size=4, width=1.5)\n", - "\n", - "lines = [atw[i].plot([], [], lw=1, marker=mrkrs[i], ms = 6., c=clr[i], mfc=clr[i])[0] for i in range(ncharts)]\n", - "\n", - "def AnimateInit():\n", - " for i in range(ncharts): lines[i].set_data([], [])\n", - " return lines\n", - "\n", - "pIdcs = [i for i in range(firstframe, firstframe + nframes)]\n", - "\n", - "def AnimateChart(frame):\n", - " global pIdcs\n", - " \n", - " t0, t1 = pDf21['ascent_start'][pIdcs[frame]], pDf21['ascent_end'][pIdcs[frame]]\n", - "\n", - " Ts = dsT.sel(time=slice(t0, t1))\n", - " Ss = dsS.sel(time=slice(t0, t1))\n", - " Os = dsO.sel(time=slice(t0, t1))\n", - " As = dsA.sel(time=slice(t0, t1))\n", - " Cs = dsC.sel(time=slice(t0, t1))\n", - "\n", - " lines[0].set_data(Ts.temp, Ts.z)\n", - " lines[1].set_data(Ss.salinity, Ss.z)\n", - " lines[2].set_data(Os.doxygen, Os.z)\n", - " lines[3].set_data(As.chlora, As.z)\n", - " lines[4].set_data(Cs.cdom, Cs.z)\n", - "\n", - " clear_output(wait = True)\n", - " print(\"animating frame\", frame)\n", - " \n", - " return lines\n", - "\n", - "\n", - "##########################################################\n", - "#\n", - "# Organizational remarks across 16 datatypes (spectrophotometer not included\n", - "#\n", - "##########################################################\n", - "#\n", - "# Concerning the names of data variables\n", - "# Some engineering elements of OOI result in complex names. This commented-out code fragment demonstrates\n", - "# opening a NetCDF file as an XArray Dataset and renaming a data variable to something simpler.\n", - "#\n", - "# dsO = xr.open_dataset(\"../data/data_explorer_1Min/axb/profiler/axb_profiler_doxygen_1Min.nc\")\n", - "# dsO = dsO.rename_vars({\"moles_of_oxygen_per_unit_mass_in_sea_water_profiler_depth_enabled\":\"doxygen\"})\n", - "# dsO\n", - "#\n", - "# This cell formerly loaded selected datasets from the large (multi-year) data pool. This pool is \n", - "# external to the repository owing its large volume. This read cell is therefore now deprecated\n", - "# in favor of subsequent cells that load smaller datasets from within the repository.\n", - "#\n", - "# To keep code compact I use the following table of abbreviations for sensors.\n", - "# BioOptics includes Fluorometers, the main emphasis here. Fluorometers carry either two or\n", - "# three sensor types: Chlorophyll-A, Color Dissolved Organic Matter (CDOM), and particulate backscatter. \n", - "# The BioOptics ensemble also includes PAR and Spectral Irradiance. PAR measurements are individual\n", - "# values. Spectral irradiance is seven values per observation. Spectrophotometers are not considered\n", - "# in this notebook.\n", - "#\n", - "# Dictionary of single-letter sensor keys: The capitalized letter follows 'ds', an abbreviation for\n", - "# an XArray Dataset. We have therefore: dsA, dsB, dsC, etcetera\n", - "#\n", - "# Desig Data Renamed Instrument Runs during\n", - "# ----- ---- ------- ---------- -----------\n", - "# A Chlorophyll-A chlora fluorometer continuous\n", - "# B backscatter backscatter fluorometer continuous\n", - "# C CDOM cdom fluorometer continuous\n", - "# G pCO2 pco2 ? midnight/noon descent\n", - "# H pH ph pH midnight/noon descent\n", - "# I Spectral Irradiance ? spkir continuous\n", - "# M Reserved for Nitrate' ? nitrate midnight/noon ascent\n", - "# N Nitrate ? nitrate midnight/noon ascent\n", - "# P PAR par PAR continuous\n", - "# Q pressure pressure CTD continuous\n", - "# O dissolved oxygen doxygen CTD continuous\n", - "# S salinity salinity CTD continuous\n", - "# T temperature temp CTD continuous\n", - "# U velocity east veast xyz-current continuous\n", - "# V velocity north vnorth xyz-current continuous\n", - "# W velocity up vup xyz-current continuous\n", - "#\n", - "# \n", - "# Shallow profilers begin at rest at a depth of 200 meters. They ascend to within\n", - "# about 10 meters of the surface, then descend to create a double profile dataset;\n", - "# whereupon they return to the at-rest state. This cycle repeats nine times per\n", - "# day. What follows is a simple dictionary of interval designators: The capital letter \n", - "# follows the sensor key\n", - "#\n", - "# A Ascent\n", - "# D Descent\n", - "# R Rest\n", - "#\n", - "#\n", - "# There are three RCA shallow profiler sites with names abbreviated herein:\n", - "#\n", - "# osb Oregon Slope Base\n", - "# axb Axial Base\n", - "# oos Oregon Offshore (part of the Endurance array)\n", - "#\n", - "# For more on this see the README.md file and the Notebooks subdirectory.\n", - "#\n", - "################################################################################################\n", - "\n", - "####################\n", - "####################\n", - "####\n", - "#### IMPORTANT!!!!!!!!!!!\n", - "####\n", - "#### The code below loads data and ***renames*** the data variables to make them easier to work with\n", - "####\n", - "####################\n", - "####################\n", - "\n", - "\n", - "\n", - ".......................................\n", - "\n", - "\n", - "# This cell can be used to glance at data availability for each type of data. It uses a \n", - "# very simple plot call to show presence/absence over the history of the cabled array\n", - "# deployment. Both pCO2 and pH are 'no data' results; and upward velocity looks suspicious.\n", - "# The other datasets look to be present during the first half of 2021.\n", - "#\n", - "# To recap the relevant part of the single-letter-designator table...\n", - "#\n", - "# Desig Data Renamed Instrument\n", - "# ----- ---- ------- -----------\n", - "# G pCO2 pco2 ?\n", - "# H pH ph pH\n", - "# I Spectral Irradiance si412, si443, si490, spkir\n", - "# si510, si555, si620, si683 \n", - "# N Nitrate nitrate nitrate\n", - "# P PAR par PAR\n", - "# U velocity east veast ADCP?\n", - "# V velocity north vnorth ADCP?\n", - "# W velocity up vup ADCP?\n", - "\n", - "# un-comment the next line and one of the sensor lines that follow\n", - "# fig, ax = plt.subplots(figsize=(12, 8), tight_layout=True)\n", - "\n", - "# ax.plot(dsG.time, dsG.pco2, ms = 1., color='blue', mfc='blue') # no data\n", - "# ax.plot(dsH.time, dsH.ph, ms = 1., color='blue', mfc='blue') # no data\n", - "# ax.plot(dsI.time, dsI.si412, ms = 1., color='blue', mfc='blue') # good first half of 2021 (max 80)\n", - "# ax.plot(dsI.time, dsI.si443, ms = 1., color='blue', mfc='blue') # \" \n", - "# ax.plot(dsI.time, dsI.si490, ms = 1., color='blue', mfc='blue') # \" \n", - "# ax.plot(dsI.time, dsI.si510, ms = 1., color='blue', mfc='blue') # \" \n", - "# ax.plot(dsI.time, dsI.si555, ms = 1., color='blue', mfc='blue') # \" \n", - "# ax.plot(dsI.time, dsI.si620, ms = 1., color='blue', mfc='blue') # \" (max down around 15)\n", - "# ax.plot(dsI.time, dsI.si683, ms = 1., color='blue', mfc='blue') # \" (max down around 6)\n", - "# ax.plot(dsN.time, dsN.nitrate, ms = 1., color='blue', mfc='blue') # \" \n", - "# ax.plot(dsO.time, dsO.doxygen, ms = 1., color='blue', mfc='blue') # \" \n", - "# ax.plot(dsP.time, dsP.par, ms = 1., color='blue', mfc='blue') # \"\n", - "# ax.plot(dsS.time, dsS.salinity, ms = 1., color='blue', mfc='blue') # \"\n", - "# ax.plot(dsT.time, dsT.temp, ms = 1., color='blue', mfc='blue') # \"\n", - "# ax.plot(dsU.time, dsU.veast, ms = 1., color='blue', mfc='blue') # \"\n", - "# ax.plot(dsV.time, dsV.vnorth, ms = 1., color='blue', mfc='blue') # \"\n", - "# ax.plot(dsW.time, dsW.vup, ms = 1., color='blue', mfc='blue') # \" suspiciously high amplitude in 2021\n", - "\n", - "########################\n", - "#\n", - "# shear calculation code removed from BioOptics.ipynb\n", - "#\n", - "########################\n", - "\n", - "# get a list of ascent indices (for dataframe pDf21, OSB 2021) for March 1, 2021\n", - "t_midnight = td64(0, 'm')\n", - "t_almost_midnight = td64(24*60-1, 'm')\n", - "list_of_ascents = GenerateTimeWindowIndices(pDf21, dt64('2021-03-01'), dt64('2021-03-02'), noon0, noon1)\n", - "print(list_of_ascents)\n", - "\n", - "# attempt a shear calculation\n", - "def ShearProfile(v, offset):\n", - " \"\"\"Calculate shear from a Dataset dim=time, data vars = veast, vnorth, z\"\"\"\n", - " # verify the time dimension\n", - " if not v.dims['time']: return v\n", - " len_v = v.dims['time']\n", - " return [0. if i + offset >= len_v else \\\n", - " np.sqrt((vel['veast'][i]-vel['veast'][i + offset])**2 + \\\n", - " (vel['vnorth'][i]-vel['vnorth'][i + offset])**2) \\\n", - " for i in range(len_v)]\n", - "\n", - "i=0\n", - "offset=2\n", - "veast = dsU.sel(time=slice(pDf21['ascent_start'][list_of_ascents[i]], pDf21['ascent_end'][list_of_ascents[i]]))\n", - "vnorth = dsV.sel(time=slice(pDf21['ascent_start'][list_of_ascents[i]], pDf21['ascent_end'][list_of_ascents[i]]))\n", - "vel = xr.merge([veast, vnorth])\n", - "shear = ShearProfile(vel, offset)\n", - "\n", - "fig, axs = plt.subplots(figsize=(12,4), tight_layout=True)\n", - "axs.plot(shear, vel.z, marker='.', ms=9., color='k', mfc='r')\n", - "axs.set(ylim = (-200., 0.), title='--------------')\n", + "# error: apr21 and jul21 seem to fail on pCO2 despite data files present\n", "\n", - "# Some additional poking around code...\n", + "def AssembleDataFilename(relative_path, site, instrument, time, sensor): \n", + " return relative_path + site + '_' + instrument + '_' + time + '_' + sensor + '.nc'\n", "\n", - "# fig, axs = plt.subplots(figsize=(12,4), tight_layout=True)\n", - "# axs.plot(vel.time, vel.z, marker='.', ms=9., color='k', mfc='r')\n", - "# axs.set(ylim = (-200., 0.), title='Depth versus time: Ascent per velocity sensor')\n", + "def GetSensorTuple(s, f):\n", + " '''\n", + " s is the sensor identifier string like 'temperature'\n", + " f is the source filename like './../data/osb_ctd_jan22_temperature.nc' \n", + " '''\n", + " df_sensor = xr.open_dataset(f)[s]\n", + " df_z = xr.open_dataset(f)['z']\n", + " range_lo = ranges[s][0]\n", + " range_hi = ranges[s][1]\n", + " sensor_color = colors[s]\n", + " return (df_sensor, df_z, range_lo, range_hi, sensor_color)\n", "\n", - "# vel.var\n", "\n", - "```" + "for sensor in sensors: # sensor is a list of 2 strings [sensor_str, instrument_str]\n", + " f = AssembleDataFilename(relative_path, sitestring, sensor[1], monthstring, sensor[0])\n", + " d[sensor[0]] = GetSensorTuple(sensor[0], f)" ] }, { - "cell_type": "markdown", - "id": "04b8c6db", - "metadata": {}, + "cell_type": "code", + "execution_count": null, + "id": "e4ddc842-33a2-4b31-b705-8a01ea9bb1e4", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "# Have a look at the pCO2 DataArray after removing all Attributes\n", + "for a in list(d['pco2'][0].attrs.keys()): del d['pco2'][0].attrs[a]\n", + "for a in list(d['pco2'][1].attrs.keys()): del d['pco2'][1].attrs[a]\n", + "print(d['pco2'][0], d['pco2'][1])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8536b017-911e-4d74-ba57-1c4c90d91ba8", + "metadata": { + "tags": [] + }, + "outputs": [], "source": [ - "## Part 3 Getting Data" + "# Start with CTD temperature and salinity\n", + "how_many_charts = 4\n", + "\n", + "# quick check: use d['temperature'].z.plot()\n", + "profile_list = [n for n in range(how_many_charts)]" ] }, { "cell_type": "markdown", - "id": "518d45f8", + "id": "560671cb-e1e3-4fbd-84c5-3c931ed9f48f", "metadata": {}, "source": [ - "# Get Started With Data\n", - "\n", - "\n", - "This notebook introduces working with OOI data: From file to data structure to time series chart.\n", - "Visualization of data with depth (for example using profilers) is done in **`BioOptics.ipynb`**.\n", - "\n", - "\n", - "Starting assumption: A Dataset has been secured from OOI as a NetCDF file. \n", - "Within this directory we have `dataset.nc` to serve this role: Surface water\n", - "Chlorophyll-A fluorescence from Global Station Papa. \n", + "#### Using the ChartTwoSensors() function\n", "\n", "\n", - "Using XArray Dataset methods we proceed:\n", + "The following cells create plots for many sensor types using the ChartTwoSensor() comparative chart\n", + "generator. The passed arguments make use of the data dictionary d{} established above. The keys are\n", + "the short version sensor names such as 'do' and '412nm' and 'nitrate'. The values are 5-ples so they\n", + "are indexed as \\[0\\], \\[1\\], ..., \\[4\\]:\n", "\n", - "\n", - "- Read the file into memory as an XArray Dataset\n", - "- Print an overview of the Dataset: Dimensions, Coordinates, Data Variables and Attributes\n", - "- Modify the ordinal dimension `row` to `time`\n", - "- Along the time dimension: Drop all entries with value NAN (not a number)\n", - "- Rename the Data Variable for `chlorophyll` from a very long descriptive term to simply `chlora`\n", - "- Print an overview of the Dataset to note these changes\n", - "- Plot the chlorophyll data over the full time interval\n", - " - ...noting this runs from 2014 through 2020 with some gaps\n", - " - ...noting that August through October 2018 appears to be good data\n" + "Data dictionary value = (\n", + " DataArray: sensor data values, dimension = 'time' \\[0\\]\n", + " DataArray: sensor depths z, dimension = 'time' \\[1\\] \n", + " low-end expected data range \\[2\\]\n", + " high-end expected data range \\[3\\]\n", + " color for this sensor \\[4\\] \n", + " )\n", + " \n", + "\n" ] }, { "cell_type": "code", "execution_count": null, - "id": "692c4b46-acfd-4609-a07e-3501640e872f", + "id": "049d4cff-b1d2-4152-a4ba-41e2891b050d", "metadata": { "tags": [] }, "outputs": [], "source": [ - "import numpy as np, pandas as pd, xarray as xr\n", - "from numpy import datetime64 as dt64, timedelta64 as td64\n", - "import matplotlib.pyplot as plt\n", - "D = xr.open_dataset('./../dataset.nc')\n", - "D" + "# temperature and salinity\n", + "fig,axs = ChartTwoSensors(profiles, [ranges['temperature'], ranges['salinity']], profile_list, \n", + " d['temperature'][0], d['temperature'][1], 'Temperature', colors['temperature'], 'ascent',\n", + " d['salinity'][0], d['salinity'][1], 'Salinity', colors['salinity'], 'ascent', 6, 4)" ] }, { "cell_type": "code", "execution_count": null, - "id": "7778592b-d144-485a-b496-547dc409e919", + "id": "a10605ea-57a9-4d9e-a593-e36483d06eee", "metadata": { "tags": [] }, "outputs": [], "source": [ - "D = D.swap_dims({'row':'time'}) # make 'time' the Dimension\n", - "D = D.dropna('time') # drop NaN data values\n", - "D=D.rename({'mass_concentration_of_chlorophyll_a_in_sea_water':'chlora'})\n", - "D " + "# density and pressure\n", + "fig,axs = ChartTwoSensors(profiles, [ranges['density'], ranges['pressure']], profile_list, \n", + " d['density'][0], d['density'][1], 'Density', colors['density'], 'ascent',\n", + " d['pressure'][0], d['pressure'][1], 'Pressure', colors['pressure'], 'ascent', 6, 4)" ] }, { "cell_type": "code", "execution_count": null, - "id": "3687a09e-ef52-447d-892c-82340ea081ad", + "id": "ff9ad8cd-eb68-483b-a565-d0299beb91eb", "metadata": { "tags": [] }, "outputs": [], "source": [ - "print('Dataset starts:', D.time[0].time.data, '.....and ends:', D.time[-1].time.data)" + "# dissolved oxygen and chlorophyll-a\n", + "fig,axs = ChartTwoSensors(profiles, [ranges['do'], ranges['chlora']], profile_list, \n", + " d['do'][0], d['do'][1], 'Dissolved Oxygen', colors['do'], 'ascent',\n", + " d['chlora'][0], d['chlora'][1], 'Chlorophyll-A', colors['chlora'], 'ascent', 6, 4)" ] }, { "cell_type": "code", "execution_count": null, - "id": "25c1b4c1-ca83-4213-aaca-1ded654b99a7", + "id": "1003765c-b69f-4bb0-a67a-ff959ec56197", "metadata": { "tags": [] }, "outputs": [], "source": [ - "D.chlora.plot() " - ] - }, - { - "cell_type": "markdown", - "id": "bf9209b3-3766-4212-ab29-d2545ba235c8", - "metadata": {}, - "source": [ - "#### Interpretation so far...\n", - "\n", - "\n", - "The dataset D was read from a NetCDF file and manipulated in the above cells.\n", - "The last step was plotting the Chlorophyll A concentration as a time series.\n", - "Data is present in intermittent stretches along the time axis. The line jumps\n", - "indicate no data are available. \n", - "\n", - "\n", - "Next we focus on a time \n", - "range in 2018 where we appear to have good data: Aug 1 through Nov 1.\n", - "\n", - "\n", - "- Extract a time sub-range Aug 1 - Nov 1, 2018\n", - "- Drop NaN values\n", - "- Examine the resulting Dataset\n", - "- Examine a rough plot of the chlorophyll with time\n", - "- Resample the data from 15 minute intervals to day intervals\n", - "- Plot both day-interval and 15-minute-interval versions of chlorophyll with time" + "# fdom and backscatter\n", + "fig,axs = ChartTwoSensors(profiles, [ranges['fdom'], ranges['bb']], profile_list, \n", + " d['fdom'][0], d['fdom'][1], 'FDOM', colors['do'], 'ascent',\n", + " d['bb'][0], d['bb'][1], 'Backscatter', colors['chlora'], 'ascent', 6, 4)" ] }, { "cell_type": "code", "execution_count": null, - "id": "f01f8f6e-6302-46bf-b861-77cb7c42ed61", + "id": "9ce31097-51b2-48d4-8692-bf69b13fa6ae", "metadata": { "tags": [] }, "outputs": [], "source": [ - "time0 = dt64('2018-08-01')\n", - "time1 = dt64('2018-11-01')\n", - "D = D.sel(time=slice(time0, time1)) # slice out data from the chosen time range\n", - "D = D.dropna('time') # (redundant) drop NaN values\n", - "D # inspect the dataset" + "# pH and pCO2\n", + "# Notice that pH and pCO2 are measured only on midnight and noon *descents*\n", + "# Profile 3 is the first midnight profile, 8 the first noon (but labels need fixing)\n", + "fig,axs = ChartTwoSensors(profiles, [ranges['ph'], ranges['pco2']], [3, 8, 12],\n", + " d['ph'][0], d['ph'][1], 'pH', colors['ph'], 'descent',\n", + " d['pco2'][0], d['pco2'][1], 'pCO2', colors['pco2'], 'descent', 6, 4)" ] }, { "cell_type": "code", "execution_count": null, - "id": "93b763e7-6bde-4449-b0c7-d3f937bfafe0", + "id": "43af628f-3df3-4771-a105-440816f63949", "metadata": { "tags": [] }, "outputs": [], "source": [ - "D.chlora.plot() # this plot shows a contiguous data record" + "# Two good representatives of noon spectral irradiance\n", + "fig,axs = ChartTwoSensors(profiles, [ranges['spkir412nm'], ranges['spkir555nm']], [8, 80],\n", + " d['spkir412nm'][0], d['spkir412nm'][1], '412nm', colors['spkir412nm'], 'ascent',\n", + " d['spkir555nm'][0], d['spkir555nm'][1], '555nm', colors['spkir555nm'], 'ascent', 6, 4)\n" ] }, { "cell_type": "code", "execution_count": null, - "id": "c70c5f68-d490-4555-b2f0-0c862456e1c9", + "id": "8ac0e077-f1fe-413a-873f-8e03dee8c524", "metadata": { "tags": [] }, "outputs": [], "source": [ - "D24=D.resample(time='24H').mean()" + "# PAR and longer-wavelength spectral irradiance (not a very strong signal; see above)\n", + "fig,axs = ChartTwoSensors(profiles, [ranges['par'], ranges['spkir620nm']], [8, 80],\n", + " d['par'][0], d['par'][1], 'PAR', colors['par'], 'ascent',\n", + " d['spkir620nm'][0], d['spkir620nm'][1], 'spkir620nm spkir', \n", + " colors['spkir620nm'], 'ascent', 6, 4)" ] }, { "cell_type": "code", "execution_count": null, - "id": "4d876841-16b9-4cd8-a23a-60467aa33846", + "id": "d24bdc33-b1a8-47ce-b82d-5cd2b41dfcec", "metadata": { "tags": [] }, "outputs": [], "source": [ - "fig, ax = plt.subplots(figsize=(8, 8), tight_layout=True)\n", - "ax.plot(D.time, D.chlora, color='red')\n", - "ax.plot(D24.time, D24.chlora, color='black')\n", - "ax.set(title = 'Chlorophyll (time): Global Station Papa 15 min (red) and daily (black)')\n", - "ax.set(ylim = (0., 3.))" + "# Nitrate and current velocity 'up' (midnight and noon: ascent for nitrate)\n", + "fig,axs = ChartTwoSensors(profiles, [ranges['nitrate'], ranges['up']], [3, 8, 12],\n", + " d['nitrate'][0], d['nitrate'][1], 'nitrate', colors['nitrate'], 'ascent',\n", + " d['up'][0], d['up'][1], 'Upward velocity', colors['up'], 'ascent', 6, 4)" ] }, { - "cell_type": "markdown", - "id": "5ed437db-6078-4bf1-ba9d-aa832edecbbd", + "cell_type": "code", + "execution_count": null, + "id": "de6fd9ef-f269-403c-9831-4c183db18564", "metadata": { "tags": [] }, + "outputs": [], "source": [ - "#### Interpretation\n", - "\n", - "\n", - "The chlorophyll signal shows a four-fold increase through mid-October \n", - "and then drops sharply towards the end of the time series. \n", - "\n", - "\n", - "This fluorometer resides at a fixed depth on a mooring as part of the \n", - "Station Papa global array. \n", - "\n", - "\n", - "Profiling sensors add an additional level of \n", - "complexity." + "how_many_current_charts = 4\n", + "first_current_chart = 200\n", + "profile_list = [n for n in range(first_current_chart, first_current_chart + how_many_current_charts)]\n", + "# Current velocity 'east' and 'north'\n", + "fig,axs = ChartTwoSensors(profiles, [ranges['east'], ranges['north']], profile_list,\n", + " d['east'][0], d['east'][1], 'east velocity', colors['east'], 'ascent',\n", + " d['north'][0], d['north'][1], 'north velocity', colors['north'], 'ascent', 6, 4)" ] }, { "cell_type": "markdown", - "id": "e98dac7a-c1b3-48f5-9654-1f163a16f760", + "id": "3f63d009-d81b-4976-8407-1d7301502ee9", "metadata": {}, "source": [ - "# Here on: Residual notes\n", + "## Summary so far\n", "\n", "\n", - "### To Do List\n", + "The material above demonstrates charting most available sensors. In some cases this relies upon\n", + "careful selection of relevant profiles and profile phases (ascent versus descent). \n", "\n", "\n", - "- interactive oceans data?\n", - "- reimagine ocean.py without charting; then depthchart.py\n", - "- maybe ./../data/experiment01 with a readme.txt and all the data in one place\n", - "- charts folder; then decorate the narrative with the charts\n", - "- make dim dropouts not plot diagonal lines\n", - "- revisit generating profiles from a depth time series\n", - "- programmatic data access through an API\n", - "- data streamlining\n", - " - Understand/annotate shallow profiler profile intervals (r,a,d)\n", - " - Sampling rates: Optional\n", + "Next: Ensemble views of data via *bundle charts*.\n", "\n", "\n", "\n", + "## Bundle charts\n", "\n", - "### Profiler metadata: Calculate / Load timing data for rest - ascent - descent timestamps\n", "\n", + "A bundle chart overlays consecutive sensor profiles. These are static; the further section\n", + "is interactive." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "663a8767-a802-4ec4-8b98-43de19ff1bf5", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "ShowStaticBundles(d, profiles)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b4a46ac1-3a93-4142-9ac9-07e526ef117d", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "# This code is busted: I tried to import all the deets to chart.py but there is a problem with passing the data dictionary d\n", + "# BundleInteractor(d, profiles, False)\n", "\n", - "- destination: subfolder `profiles`: `.csv` files corresponding to pandas dataframes\n", - " - row includes a profiler ascent start, descent start, rest start\n", - "- *axb*, *osb*, *oos*\n", - "- Annotate pH equil stops: both local midnight and noon\n", - " - Are things like T/C/DO stable during equil stops? \n", - "- Does chlorophyll versus backscatter show more zooplankton at depth? Diel?\n", - " - ArcticGRO 29\n", - " \n", - "\n", - "### Spectrophotometer \n", - "\n", - "Dimensions `obs` and `wavelength`" + "# The following 3 cells are from the in-notebook sequence that formerly worked" ] }, { - "cell_type": "markdown", - "id": "d5e97bfe-b423-44b4-a464-3f64d9ead3cb", + "cell_type": "code", + "execution_count": 2, + "id": "fb0913c9-f44f-467c-8fdc-7bb25e08e077", "metadata": {}, + "outputs": [], "source": [ - "# This goes where?\n", - "\n", - "\n", - "### Selecting profile ascent data from the profiler time series\n", - "\n", - "* A separate set of notebooks (see Notebooks folder) produced tables of profile start/end times\n", - " * Results are saved in the Profiles folder of this repository\n", - " * Each saved CSV file is for a single year and a single location (from OSB, OOS, AXB)\n", - " * Starting from 2015 and running through 2021 this results in 3 x 7 = 21 files\n", - " * Owing to technical issues: Oregon Offshore is missing for 2021\n", - " * Here we use strictly one of these: For OSB and 2021: **`osb2021.csv`**.\n", - " \n", - "* **`ReadProfileMetadata(fnm)`** loads profile metadata into a (pandas) Dataframe **`pDf`**\n", - " * Each row of **`pDf`**: dt64 times: start/end for all three of: ascent, descent, rest\n", - " * We focus on **`ascent_start`** and **`ascent_end`**\n", - " * The reference is hence pDf['ascent_start'][integer_index]\n", - " * For OSB and 2021: integer_index = 0 will be the first (UTC) profile on January 1, 2021 at OSB\n", - " * At nine profiles per day there are a maximum of 365 * 9 profiles in a year\n", - " * We expect occasional drops and intervals of time when the profiler was not running\n", - " \n", - "* **`GenerateTimeWindowIndices(pDf, date0, date1, time0, time1)`** produces a list of table row-indices for **`pDf`**\n", - " * date0 and date1 define a range of days\n", - " * time0 and time1 define a time range applied to each day\n", - " * the list is extended for each **`ascent_start`** in **`pDf`** that falls within both\n", - " \n", - "* Suppose we want to see only nitrate profiles, i.e. the noon and midnight profiles from each day\n", - " * First generate a list using the midnight time range, say `list_midn`\n", - " * Second generate a list using the noon time range, say `list_noon`\n", - " * Combine the lists: These will be non-sequential indices for **`pDf`** rows\n", - " * Use the list sorting method `list.sort()` to order this combined list. Result will be time-sequential. \n", - " \n", - "* Suppose we want sensor vs depth charts for a set of profiles\n", - " * ...we have the corresponding list of profile indices (indexing into **`pDf`**) called **`pIdcs`**.\n", - " * ...we have a Dataset of data from sensor **X** called **`dsX`**\n", - " * Run an index **`i`** across **`pIdcs`**\n", - " * For index **`i`** set a time range: **`t0, t1 = pDf['ascent_start'][pIdcs[i]], pDf['ascent_end'][pIdcs[i]]`**\n", - " * Select data from the Dataset using this time range: **`Xs = dsX.sel(time=slice(t0, t1))`**\n", - " \n", - "* To streamline comparison-charting for two sensors A and B we have the function **`ChartAB()`**\n", - " * **`def ChartAB(pDf, xrng, pIdcs, A, Az, Albl, Acolor, B, Bz, Blbl, Bcolor)`**\n", - " * **`pDf`** is the profile metadata described above\n", - " * **`xrng`** is a list of low/high tuples for A and B\n", - " * **`pIdcs`** is a list of profile indices. \n", - " * The length of this list corresonds to the number of charts to be produced\n", - " * A and Az are data and z-value DataArrays, same for B and Bz\n", - " * From a Dataset **`As`** these would be passed as **`As.sensorname`** and **`As.z`**\n", - "\n", - "\n", - "- nitrate sequence to include midnight and noon both\n", - "- Place in this section a brief description of element-wise calculation (see shear, below)\n", - " - Include integrating shear as a new DataArray in a Dataset\n", - "- Consider: Filter velocity e.g. 30 meter box filter before calculating shear\n", - "\n", - "```\n", - "def streamline_data(source, output, keep_dims, keep_coords, keep_data_vars, keep_attrs):\n", - "\n", - " def timeswap_preprocessor(fds): # per-file datasets have dimension 'obs'\n", - " a = fds.swap_dims({'obs':'time'}) # ...so we pre-swap that for time\n", - " for key in a.dims: \n", - " if key not in keep_dims: a = a.drop_dims(key)\n", - " for key in a.coords: \n", - " if key not in keep_coords: a = a.drop(key)\n", - " for key in a.data_vars: \n", - " if key not in keep_data_vars: a = a.drop(key)\n", - " attrs_dict = a.attrs.copy() \n", - " for key in attrs_dict: \n", - " if key not in keep_attrs: a.attrs.pop(key)\n", - " return a\n", - " \n", - " ds = xr.open_mfdataset(source, preprocess = timeswap_preprocessor, concat_dim='time', combine='by_coords') \n", - " ds.to_netcdf(output)M\n", - " \n", - " return ds\n", - "\n", - "\n", - "# Example: pH sampling tracking the profiler\n", - "ds_phsen.sel(time=slice(dt64('2020-11-23T00:00:00'),dt64('2020-11-26T00:00:00'))).depth.plot()\n", - "\n", - "\n", - "def prepro(fds): \n", - " return fds.swap_dims({'obs':'time'})\n", - "\n", - "sample_file = 'deployment*.nc'\n", - "ds = xr.open_mfdataset(os.getenv(\"HOME\") + '/data_CTD_entire_time_range/' + sample_file, preprocess = prepro, compat='no_conflicts')\n", - "\n", - "\n", - "\n", - "# - 3-Wavelength fluorometer (flort: got it for OSB SP 2019)\n", - "# - CTD (ctdpf: got it for OSB SP 2019)\n", - "# - Photosynthetically Available Radiation (parad: got it for OSB SP 2019)\n", - "# - pH (phsen: got it for OSB SP 2019)\n", - "# - Spectral Irradiance (spkir: got)\n", - "# - Spectrophotometer (optaa: got)\n", - "# - NOT YET: Single Point Velocity Meter (velpt: )\n", - "# - Nitrate (nutnr: Got both nutnr_a_sample and nutnr_a_dark_sample)\n", - "# - pCO2 water (two streams: pco2w_a_sami_data_record and pco2w_b (no data past 2018; placed 2018 data\n", - "\n", - "# instrument 2014 2015 2016 2017 2018 2019 2020\n", - "#\n", - "# Oregon Slope Base\n", - "# SP flort 3-wavelength !\n", - "# SP ctdpf !\n", - "# SP parad !\n", - "# SP phsen !\n", - "# SP spkir !\n", - "# SP optaa !\n", - "# SP velpt !\n", - "# SP nutnr_a, nutnr_a_dark !\n", - "# SP pco2w_a_sami !\n", - "# SP pco2w_b_sami ! NA\n", - "# 200m ctdpf !\n", - "# 200m flort !\n", - "# 200m phsen !\n", - "# 200m do_stable !\n", - "# DP ctdpf wfp ! NA NA NA\n", - "# DP ctdpf inst !\n", - "# DP acm (VEL3D) inst !\n", - "# DP flcdrdt inst fluorometer !\n", - "#\n", - "# Axial Base\n", - "# SP flort !\n", - "# SP ctdpf !\n", - "# SP parad !\n", - "# SP phsen !\n", - "# SP spkir ?\n", - "# SP optaa !\n", - "# SP velpt ?\n", - "# SP nutnr_a, nutnr_a_dark ?\n", - "# SP pco2w_a_sami !\n", - "# SP pco2w_b_sami ?\n", - "# 200m ctdpf !\n", - "# 200m flort !\n", - "# 200m phsen !\n", - "# 200m do_stable !\n", - "# DP ctdpf wfp !\n", - "# DP ctdpf inst !\n", - "# DP acm (VEL3D) inst ?\n", - "# DP flcdrdt inst CDOM fluorometer !\n", - "# DP fl????? inst 2-Wav fluorometer ?\n", - "# DP dissolved oxygen !\n", - "# \n", - "# filename anatomy\n", - "# deployment0005 or 0006 etc\n", - "# _RS03AXPS site: AX is Axial, SB is slope base\n", - "# -SF03A platform: SF is shallow profiler, DP is deep profiler, PC is 200m platform \n", - "# -3B number + letter: unknown\n", - "# -OPTAAD301 6-letter instrument + 'A'/'D' + 30X/10X\n", - "# -streamed 'streamed' or 'recovered_inst' or 'recovered_wfp'\n", - "# -optaa_sample instrument designator, sometimes 'dpc_xxxxx_instrument_recovered'\n", - "# _20191004T073957.414490 datetime start\n", - "# -20191014T220233.907019 datetime end\n", - "# .nc NetCDF file\n", - "#\n", - "```\n", - "\n", - "\n", - "ds=xr.open_mfdataset(...filename description string including wildcard...)\n", - "ds = ds.swap_dims({'obs':'time'})\n", - "\n", - "\n", - "See use of a *preprocessor* function; or avoid this by putting the data into 'time' dimension first" + "from ipywidgets import interact, widgets\n", + "from traitlets import dlink" ] }, { - "cell_type": "markdown", - "id": "e2a7c2d8-815f-43c1-b7f1-65f6dd16f2a7", + "cell_type": "code", + "execution_count": 3, + "id": "cf424214-afb5-4b42-b5f0-0f1d4f1f2496", "metadata": {}, + "outputs": [], "source": [ - "## More un-sorted code resources\n", - "\n", - "```\n", - "\n", - "colorT = 'black'\n", - "colorS = 'xkcd:blood orange'\n", - "colorO = 'xkcd:blue'\n", - "colorA = 'xkcd:green'\n", - "colorB = 'xkcd:dark cyan'\n", - "colorC = 'red'\n", - "colorN = 'xkcd:gold'\n", - "colorP = 'magenta'\n", - "colorH = 'xkcd:purple blue'\n", - "\n", - "colorTd = 'grey'\n", - "colorSd = 'xkcd:yellow orange'\n", - "colorOd = 'xkcd:azure'\n", - "colorAd = 'xkcd:pale green'\n", - "colorBd = 'xkcd:light turquoise'\n", - "colorCd = 'xkcd:pinkish'\n", - "colorNd = 'xkcd:brownish yellow'\n", - "colorPd = 'xkcd:barbie pink'\n", - "colorHd = 'xkcd:pastel purple'\n", - "\n", - "\n", - "# time ranges for midnight and noon profiles, adjusted for UTC\n", - "# midn0 - midn1 is a time range for the midnight profile start\n", - "# noon0 - noon1 is a time range for the noon profile start\n", - "midn0 = td64( 7*60 + 10, 'm') # 7 hours 10 minutes\n", - "midn1 = td64( 7*60 + 34, 'm') # 7 hours 34 minutes\n", - "noon0 = td64(20*60 + 30, 'm') # 20 hours 30 minutes\n", - "noon1 = td64(20*60 + 54, 'm') # 20 hours 54 minutes \n", - "\n", - "\n", - "\n", - "def GetDiscreteSummaryCastSubset(dsDf, cast, columns):\n", + "def BundleInteract(sensor_key, time_index, bundle_size):\n", " '''\n", - " dsDf is a Discrete Summary Dataframe\n", - " cast is a string corresponding to the cast identifier, e.g. 'CTD-001'\n", - " columns is a list of column names to extract from the full Dataframe\n", - " Returns a Dataframe for 'just that cast' and 'just those parameters'\n", + " Consider a time range that includes many (e.g. 279) consecutive profiles. This function plots sensor data\n", + " within the time range. Choose the sensor using a dropdown. Choose the first profile using the start slider.\n", + " Choose the number of consecutive profiles to chart using the bundle slider. \n", + " Details\n", + " - There is no support at this time for selecting midnight or noon profiles exclusively\n", + " - nitrate, ph and pco2 bundle charts will be correspondingly sparse\n", + " - There is a little bit of intelligence built in to the selection of ascent or descent\n", + " - most sensors measure on ascent or ascent + descent. pco2 and ph are descent only\n", + " - ph and pco2 still have a charting bug \"last-to-first line\" clutter: For some reason\n", + " the first profile value is the last value from the prior profile. There is a hack in\n", + " place (\"i0\") to deal with this.\n", " '''\n", - " return dsDf.loc[(dsDf['cast']==cast)][columns]\n", - "\n", - "\n", - "def CompareAscentDescent(p, T, S, O, A, B, C):\n", - " '''Get a sense of variability between ascent and subsequent descent'''\n", " \n", - " pw = GenerateTimeWindowIndices(p, dt64_from_doy(2021, 65), dt64_from_doy(2021, 65), td64(0, 'h'), td64(24, 'h'))\n", - " ncharts = len(pw)\n", - "\n", - " fig, axs = plt.subplots(ncharts, 3, figsize=(15, 4*ncharts), tight_layout=True)\n", - "\n", - " axt0 = [axs[i][0].twiny() for i in range(ncharts)]\n", - " axt1 = [axs[i][1].twiny() for i in range(ncharts)]\n", - " axt2 = [axs[i][2].twiny() for i in range(ncharts)]\n", - "\n", - " for i in range(pw[0], pw[-1]+1):\n", - "\n", - " axi = i - pw[0]\n", - "\n", - " t0, t1, t2 = p[\"ascent_start\"][i], p[\"ascent_end\"][i], p[\"descent_end\"][i]\n", - "\n", - " Ta = T.sel(time=slice(t0, t1))\n", - " Td = T.sel(time=slice(t1, t2))\n", - " Sa = S.sel(time=slice(t0, t1))\n", - " Sd = S.sel(time=slice(t1, t2))\n", - " Oa = O.sel(time=slice(t0, t1))\n", - " Od = O.sel(time=slice(t1, t2))\n", - " Aa = A.sel(time=slice(t0, t1))\n", - " Ad = A.sel(time=slice(t1, t2))\n", - " Ba = B.sel(time=slice(t0, t1))\n", - " Bd = B.sel(time=slice(t1, t2))\n", - " Ca = C.sel(time=slice(t0, t1))\n", - " Cd = C.sel(time=slice(t1, t2))\n", - "\n", - " axs[axi][0].plot(Ta.temp, Ta.z, color=colorT, marker='s', ms=4., mfc=colorT)\n", - " axs[axi][0].plot(Td.temp, Td.z, color=colorTd, marker='v', ms=4., mfc=colorTd)\n", - " axt0[axi].plot(Sa.salinity, Sa.z, color=colorS, marker='o', ms=4., mfc=colorS)\n", - " axt0[axi].plot(Sd.salinity, Sd.z, color=colorSd, marker='^', ms=4., mfc=colorSd)\n", - "\n", - " axs[axi][1].plot(Oa.doxygen, Oa.z, color=colorO, marker='s', ms=4., mfc=colorO)\n", - " axs[axi][1].plot(Od.doxygen, Od.z, color=colorOd, marker='v', ms=4., mfc=colorOd)\n", - " axt1[axi].plot(Aa.chlora, Aa.z, color=colorA, marker='o', ms=4., mfc=colorA)\n", - " axt1[axi].plot(Ad.chlora, Ad.z, color=colorAd, marker='^', ms=4., mfc=colorAd)\n", - "\n", - " axs[axi][2].plot(Ba.backscatter, Ba.z, color=colorB, marker='s', ms=4., mfc=colorB)\n", - " axs[axi][2].plot(Bd.backscatter, Bd.z, color=colorBd, marker='v', ms=4., mfc=colorBd)\n", - " axt2[axi].plot(Ca.cdom, Ca.z, color=colorC, marker='o', ms=4., mfc=colorC)\n", - " axt2[axi].plot(Cd.cdom, Cd.z, color=colorCd, marker='^', ms=4., mfc=colorCd)\n", - "\n", - " axs[axi][0].set(ylim=(-200., 0.))\n", - " axs[axi][1].set(ylim=(-200., 0.))\n", - " axs[axi][2].set(ylim=(-200., 0.))\n", - "\n", - " axs[axi][0].set(xlim=(temp_lo, temp_hi))\n", - " axs[axi][1].set(xlim=(do_lo, do_hi))\n", - " axs[axi][2].set(xlim=(bb_lo, bb_hi))\n", - "\n", - "\n", - " axs[0][0].set(title='Temp (black) and Salinity (orange)')\n", - " axs[0][1].set(title='Oxygen (blue) and Chlorophyll (green)')\n", - " axs[0][2].set(title='CDOM (red) and Backscatter (cyan)')\n", - "\n", - " fig.show()\n", + " (phase0, phase1, i0) = ('a0t', 'a1t', 0) if not (sensor_key == 'ph' or sensor_key == 'pco2') else ('d0t', 'd1t', 1)\n", + " x = d[sensor_key][0]\n", + " z = d[sensor_key][1]\n", + " xlo = d[sensor_key][2]\n", + " xhi = d[sensor_key][3]\n", + " xtitle = sensor_names[sensor_key]\n", + " xcolor = d[sensor_key][4]\n", + "\n", + " # This configuration code block is hardcoded to work with March 2021\n", + " date0, date1 = dt64('2022-01-01'), dt64('2022-02-01')\n", + " time0, time1 = td64(0, 'h'), td64(24, 'h')\n", + " wid, hgt = 9, 6\n", + " x0, x1, z0, z1 = xlo, xhi, -200, 0\n", + " title = xtitle\n", + " color = xcolor\n", + " pidcs = GenerateTimeWindowIndices(profiles, date0, date1, time0, time1) # !!!!! either midn or noon, not both\n", + " nProfiles = len(pidcs)\n", + " \n", + " fig, ax = plt.subplots(figsize=(wid, hgt), tight_layout=True)\n", + " iProf0 = time_index if time_index < nProfiles else nProfiles\n", + " iProf1 = iProf0 + bundle_size if iProf0 + bundle_size < nProfiles else nProfiles\n", + " for i in range(iProf0, iProf1):\n", + " pIdx = pidcs[i]\n", + " ta0, ta1 = profiles[phase0][pIdx], profiles[phase1][pIdx]\n", + " xi, zi = x.sel(time=slice(ta0, ta1)), z.sel(time=slice(ta0, ta1))\n", + " ax.plot(xi[i0:], zi[i0:], ms = 4., color=color, mfc=color)\n", + " ax.set(title = title)\n", + " ax.set(xlim = (x0, x1), ylim = (z0, z1))\n", + "\n", + " # Add text indicating the current time range of the profile bundle\n", + " # tString = str(p[\"ascent_start\"][pIdcs[iProf0]])\n", + " # if iProf1 - iProf0 > 1: tString += '\\n ...through... \\n' + str(p[\"ascent_start\"][pIdcs[iProf1-1]])\n", + " # ax.text(px, py, tString)\n", + " \n", + " plt.show()\n", + " return" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "a37208cf-a150-4b0a-98ce-2dff447edddd", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "173f4287003d4dc89460bb0a6d17eebe", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "interactive(children=(Dropdown(description='sensor', options=('temperature', 'salinity', 'density', 'conductiv…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def Interactor(continuous_update = False):\n", + " '''Set up three bundle-interactive charts, vertically. Independent sliders for choice of \n", + " sensor, starting profile by index, and number of profiles in bundle. (90 profiles is about\n", + " ten days.) A fast machine can have cu = True to give a slider-responsive animation. Make\n", + " it False to avoid jerky 'takes forever' animation on less powerful machines.\n", + " '''\n", + " style = {'description_width': 'initial'}\n", + " \n", + " # data dictionary d{} keys:\n", + " optionsList = ['temperature', 'salinity', 'density', 'conductivity', 'do', 'chlora', 'fdom', 'bb', 'pco2', 'ph', 'par', 'nitrate']\n", + "\n", + " interact(BundleInteract, \\\n", + " sensor_key = widgets.Dropdown(options=optionsList, value=optionsList[0], description='sensor'), \\\n", + " time_index = widgets.IntSlider(min=0, max=270, step=1, value=160, \\\n", + " layout=widgets.Layout(width='35%'), \\\n", + " continuous_update=False, description='bundle start', \\\n", + " style=style),\n", + " bundle_size = widgets.IntSlider(min=1, max=90, step=1, value=20, \\\n", + " layout=widgets.Layout(width='35%'), \\\n", + " continuous_update=False, description='bundle width', \\\n", + " style=style))\n", "\n", - " # For additional labeling:\n", - " # axs[iC][0].text(7.4, -14, 'S')\n", - " # axs[iC][0].text(10.2, -14, 'T')\n", - " # axs[iC][1].text(170, -30, 'Chl-A')\n", - " # axs[iC][1].text(300, -150, 'DO')\n", - " # axs[iC][2].text(.0007, -20, 'CDOM')\n", - " # axs[iC][2].text(.0013, -75, 'SCATT') \n", - " \n", " return\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "# GLODAP Data Loader\n", - "# Requires boto + target directory has write permission\n", - "if False: # disabled once the datasets are loaded into /data/glodap\n", "\n", - " glodapTemperatureFnm = data_dir + '/glodap/glodap_temperature.nc'\n", - " glodapSalinityFnm = data_dir + '/glodap/glodap_salinity.nc'\n", - " glodapOxygenFnm = data_dir + '/glodap/glodap_oxygen.nc'\n", - "\n", - " import boto\n", - " from boto.s3.key import Key\n", - "\n", - " connection = boto.connect_s3(anon=True)\n", - " bucket = connection.get_bucket('fixthisshouldhavesecurebucketnamehere')\n", - "\n", - " for key in bucket.list(): \n", - " filename = key.name.encode('utf-8')\n", - " if b'glodap' in filename: \n", - " if b'salinity.nc' in filename: \n", - " print ('salinity file is', filename)\n", - " salinityfilename = filename\n", - " if b'temperature.nc' in filename: \n", - " print ('temperature file is', filename)\n", - " temperaturefilename = filename\n", - " if b'oxygen.nc' in filename: \n", - " print('oxygen file is', filename)\n", - " oxygenfilename = filename \n", - "\n", - " k = Key(bucket)\n", - " k.key = salinityfilename\n", - " k.get_contents_to_filename(glodapSalinityFnm)\n", - " k.key = temperaturefilename\n", - " k.get_contents_to_filename(glodapTemperatureFnm)\n", - " k.key = oxygenfilename\n", - " k.get_contents_to_filename(glodapOxygenFnm)\n", - "\n", - " print('\\ndata load complete for glodap')\n", - "```" + "Interactor(False)" ] }, { "cell_type": "markdown", - "id": "5794aee6-cc2d-4c49-9571-a3bb0d3f524a", + "id": "60121256-e1fe-4d6e-8d1c-07bf80215090", "metadata": {}, "source": [ - "# Dashboards\n", - "\n", - "temporary notes stash; comments in ***bold italics***.\n", - "\n", - "***Bottom line: This is a great deal of inside baseball.***\n", - "\n", - "\n", - "* URL is [https://qaqc.ooi-rca.net/](https://qaqc.ooi-rca.net/)\n", - "* APL Status Dashboards\n", - " * Notice `ooirsn.uw.edu` is the base URL. `eng.` prefix not working today; Nereus works fine.\n", - " * [Nereus](https://nereus.ooirsn.uw.edu/) Works: Looks like the main operational status dashboard\n", - " * [Nereus: Suspect Instrument List](https://nereus.ooirsn.uw.edu/suspect-instruments) Works.\n", - " * [Nereus M2M Plots](https://nereus.ooirsn.uw.edu/m2m-data-plots) ('Machine 2 Machine' is a legacy term for an API interface I think)\n", - " * [APL Eng dashboard](http://eng.ooirsn.uw.edu/)\n", - " * [APL RealTime Dashboard](http://rtime.ooirsn.uw.edu/)\n", - " * [APL PP-Up](http://sea.ooirsn.uw.edu/power/graphs.html) Tried: Nope. Power graphs?\n", - " * [APL Camera Videos by Day](http://dstill.ooirsn.uw.edu/) Tried: Could not reach\n", - " * [OMS](https://io.ocean.washington.edu/oms_data/) Very down-in-the-weeds engineering data (see profiler summaries, for example)\n", - " * I do not see OrcaSound: Does that still exist?\n", - "* Data: by Site\n", - " * ***English site names would be pleasant***\n", - " * Axial Base is easy enough AXBS but... no profiles; just fixed depth\n", - " * ***Ok a User Manual would be good***\n", - " * AXPS is more the ticket for profiler data\n", - " * Fixed Depths works out of the box: One week of Density Oxygen Salinity Temperature (Density shows tides)\n", - " * ***Is this the shallow profiler platform maybe?***\n", - " * Depth binned\n", - " * ***Standard range ought to be the default for apples to apples slider experience***\n", - " * ***Slider left to right is surface to depth; depth ranges in title (fine print)***\n", - " * ***Multi-sensor (VEL, SPKIR) seems to be folded into the charts; very beta***\n", - " * Chlorophyll is a good example (AXPS) of using the slider to prospect in time with depth\n", - " * Profiles\n", - " * Another nice way to prospect with the slider\n", - " * Daily and Yearly are puzzling; Weekly and Monthly seem more functional\n", - " * ***In weekly mode: How many profiles do we see? Density does not look like 7 x 9 profiles***\n", - " * ***In weekly mode: Is the slider quantized at days to give a moving time window view?***\n", - "* Data: by Platform Type\n", - " * Shallow Profilers\n", - " * Deep Profilers: Anything to be found here???\n", - "* Data Stage 1:\n", - "* Data Stage 2:\n", - "* Data Stage 3:\n", - "* Data Stage 4: Not much here; maybe some HITL stuff?\n", - "\n", - " \n", - "\n", - "\n", - "# sklearn\n", + "## Concept material" + ] + }, + { + "cell_type": "markdown", + "id": "36ca0049-eb36-48ab-97bc-b703b69d031d", + "metadata": {}, + "source": [ + "Dual charts (as above) can be expanded to multiple duals. Below: Six sensor profiles\n", + "per line. Three-across format makes them discernible.\n", "\n", + "```{figure} ../../img/ABCOST_signals_vs_depth_and_time.png\n", + "---\n", + "height: 500px\n", + "name: directive-fig\n", + "---\n", + "Chlorophyll-A, Backscatter, FDOM, Dissolved Oxygen, Salinity, Temperature signals with depth\n", "```\n", - "# NOTE: Using dir() on sklearn and sub-libraries can be confusing. Not everything\n", - "# we want shows up. Left as an exercise: Find out how to find out what sklearn\n", - "# can do. Here follow some puzzling fragments.\n", - "#\n", - "# import sklearn\n", - "# dir(sklearn)\n", - "# dir(sklearn.utils)\n", - "# dir(sklearn.cluster.KMeans)\n", - "#\n", - "# from sklearn.cluster import KMeans\n", - "# kmeans = KMeans() \n", - "```\n" + " " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "d58c9726-6242-4953-8bb4-a78228eef3a6", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from IPython.display import HTML, Video\n", + "Video('./../img/multisensor_animation.mp4', embed=True, width = 500, height = 500)" + ] + }, + { + "cell_type": "markdown", + "id": "5c2529fb-b28c-46f6-80d6-9727a74ea721", + "metadata": {}, + "source": [ + "### MODIS surface chlorophyll" + ] + }, + { + "cell_type": "markdown", + "id": "2b2b8b44-2742-4723-92ff-b28a7ed43344", + "metadata": {}, + "source": [ + "\n", + "```{figure} ../../img/MODIS_chlorophyll.png\n", + "---\n", + "height: 500px\n", + "name: directive-fig\n", + "---\n", + "Ocean surface chlorophyll inferred from MODIS satellite images\n", + "```" ] }, + { + "cell_type": "markdown", + "id": "2562712c-8d38-4ac8-b877-9003ca5d587c", + "metadata": {}, + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f147f73e-e09c-4c0e-8503-29513a5cffca", + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "code", "execution_count": null, - "id": "8e825810-9842-49e8-9dd7-7714455462fc", + "id": "f471b2dc-e1c7-4cc6-ae45-2ec919d29d69", "metadata": {}, "outputs": [], "source": [] diff --git a/book/chapters/rob/shallowprofiler.py b/book/chapters/shallowprofiler.py similarity index 95% rename from book/chapters/rob/shallowprofiler.py rename to book/chapters/shallowprofiler.py index bd5e4b9..75fabc7 100644 --- a/book/chapters/rob/shallowprofiler.py +++ b/book/chapters/shallowprofiler.py @@ -16,7 +16,7 @@ def day_of_month_to_string(d): return str(d) if d > 9 else '0' + str(d) print('\nJupyter Notebook running Python {}'.format(sys.version_info[0])) -def ReadProfileMetadata(fnm = './../rca/profiles/osb/january2022.csv'): +def ReadProfileMetadata(fnm = 'rca/profiles/osb/january2022.csv'): """ Profiles are saved in a CSV file as six events per row: Rest start, Rest end, Ascent start, Ascent end, Descent start, Descent end. Each event includes a time and depth. There is event @@ -46,12 +46,12 @@ def GenerateTimeWindowIndices(profiles, date0, date1, time0, time1): indices for profiles that begin ascent within the time box. These indices refer to the rows in the profiles DataFrame + 'profiles' is a profile metadata DataFrame + date0 define the time box in the [date0, date1] sense date1 time0 likewise inclusive [time0, time1] sense time1 - - profiles is a profile metadata DataFrame ''' pidcs = [] for i in range(len(profiles)): @@ -132,9 +132,8 @@ def GenerateTimeWindowIndices(profiles, date0, date1, time0, time1): -def AssembleDataFnm(site, instrument, time, sensor): - datafnm = './../data/' + site + '_' + instrument + '_' + time + '_' + sensor + '.nc' - return datafnm +def AssembleDataFnm(site, instrument, time, sensor): + return 'rca/sensors/data/' + site + '_' + instrument + '_' + time + '_' + sensor + '.nc' @@ -181,7 +180,7 @@ def ReformatSpkirData(ds, output_fnm_base): # ############## # -# relative_path = './../rca/sensors/data/' +# relative_path = 'rca/sensors/data/' # site = 'osb' # instrument = 'spkir' # sensor = 'spkir' @@ -194,7 +193,7 @@ def ReformatSpkirData(ds, output_fnm_base): # ReformatSpkirData(ds, output_fnm_base) # # run this to verify -# ds = xr.open_dataset('./../data/osb_spkir_jan22_spkir412nm.nc') +# ds = xr.open_dataset('rca/sensors/data/osb_spkir_jan22_spkir412nm.nc') # ds.spkir412nm.plot() # ############### \ No newline at end of file diff --git a/book/chapters/rob/shallowprofiler_technical.ipynb b/book/chapters/shallowprofiler_technical.ipynb similarity index 100% rename from book/chapters/rob/shallowprofiler_technical.ipynb rename to book/chapters/shallowprofiler_technical.ipynb diff --git a/book/chapters/rob/spectrophotometer.ipynb b/book/chapters/spectrophotometer.ipynb similarity index 100% rename from book/chapters/rob/spectrophotometer.ipynb rename to book/chapters/spectrophotometer.ipynb