{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Working with output from many different CMIP6 climate models\n", "\n", "Climate modeling has been a cornerstone of understanding our climate and the [consequences of continued emissions of greenhouse gases](https://www.gfdl.noaa.gov/awards/former-noaa-scientist-suki-manabe-shares-nobel-prize-in-physics-for-pioneering-climate-prediction/) for decades. Much of the recent efforts in the community have been focus on model intercomparison projects (MIPs), which invite submissions of many different modeling groups around the world to run their models (which are all set up slightly different) under centralized forcing scenarios. These results can then be analyzed and the spread between different models can give an idea about the certainty of these predictions. The recent [Coupled Model Intercomparison Project Phase 6](https://gmd.copernicus.org/articles/9/1937/2016/) (CMIP6) represents an international effort to represent the state-of-the-art knowledge about how the climate system might evolve in the future and informs much of the [Intergovernmental Panel on Climate Change Report]([Intergovernmental Panel on Climate Change Report](https://github.com/IPCC-WG1/Chapter-9).\n", "\n", "In this lecture we will learn how to quickly search and analyze CMIP6 data with Pangeo tools in the cloud, a process that using the 'download and analyze' workflow often becomes prohibitively slow and inefficient due to the sheer scale of the data.\n", "\n", "The basis for this workflow are the analysis-ready-cloud-optimized repositories of CMIP6 data, which are currently maintained by the pangeo community and publicly available on both [Google Cloud Storage](https://medium.com/pangeo/cmip6-in-the-cloud-five-ways-96b177abe396) and [Amazon S3](https://www.youtube.com/watch?v=C0UhiiGgbWA&t=3267s) as a collection of [zarr](https://zarr.readthedocs.io/en/stable/) stores.\n", "\n", "The cloud native approach enables scientific results to be fully reproducible, encouraging to build onto and collaborate on scientific results. " ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [], "source": [ "from xmip.preprocessing import combined_preprocessing\n", "from xmip.utils import google_cmip_col\n", "from xmip.postprocessing import match_metrics\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The first thing we have to do is to get an overview of all the data available. In this case we are using [intake-esm](https://intake-esm.readthedocs.io/en/stable/index.html) to load a collection of zarr stores on Google Cloud Storage, but there are [other options](https://pangeo-data.github.io/pangeo-cmip6-cloud/accessing_data.html) to access the data too.\n", "\n", "Lets create a collection object and look at it\n" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "data": { "text/html": [ "

pangeo-cmip6 catalog with 7674 dataset(s) from 514818 asset(s):

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unique
activity_id18
institution_id36
source_id88
experiment_id170
member_id657
table_id37
variable_id700
grid_label10
zstore514818
dcpp_init_year60
version736
derived_variable_id0
\n", "
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "col = google_cmip_col()\n", "col" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This object describes all the available data (over 500k single zarr stores!). The rows describe different 'facets' that can be used to search and query subsets of the data. For detailed info on each of the facets please refer to this [document](https://docs.google.com/document/d/1h0r8RZr_f3-8egBMMh7aqLwy3snpD6_MrDz1q8n5XUk/edit).\n", "\n", "So obviously we never want to work with *all* the data. Lets check out how to get a subset. \n", "\n", "First we need to understand a bit better what all these facets mean and how to see which ones are in the full collection. Lets start with the `experiment_id`: This is the prescribed forcing for a particular MIP that is exactly the same across all different models. We can look at the values of the collection as a pandas dataframe to convieniently list all values." ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array(['highresSST-present', 'piControl', 'control-1950', 'hist-1950',\n", " 'historical', 'amip', 'abrupt-4xCO2', 'abrupt-2xCO2',\n", " 'abrupt-0p5xCO2', '1pctCO2', 'ssp585', 'esm-piControl', 'esm-hist',\n", " 'hist-piAer', 'histSST-1950HC', 'ssp245', 'hist-1950HC', 'histSST',\n", " 'piClim-2xVOC', 'piClim-2xNOx', 'piClim-2xdust', 'piClim-2xss',\n", " 'piClim-histall', 'hist-piNTCF', 'histSST-piNTCF',\n", " 'aqua-control-lwoff', 'piClim-lu', 'histSST-piO3', 'piClim-CH4',\n", " 'piClim-NTCF', 'piClim-NOx', 'piClim-O3', 'piClim-HC',\n", " 'faf-heat-NA0pct', 'ssp370SST-lowCH4', 'piClim-VOC',\n", " 'ssp370-lowNTCF', 'piClim-control', 'piClim-aer', 'hist-aer',\n", " 'faf-heat', 'faf-heat-NA50pct', 'ssp370SST-lowNTCF',\n", " 'ssp370SST-ssp126Lu', 'ssp370SST', 'ssp370pdSST', 'histSST-piAer',\n", " 'piClim-ghg', 'piClim-anthro', 'faf-all', 'hist-nat', 'hist-GHG',\n", " 'ssp119', 'piClim-histnat', 'piClim-4xCO2', 'ssp370',\n", " 'piClim-histghg', 'highresSST-future', 'esm-ssp585-ssp126Lu',\n", " 'ssp126-ssp370Lu', 'ssp370-ssp126Lu', 'land-noLu', 'histSST-piCH4',\n", " 'ssp126', 'esm-pi-CO2pulse', 'amip-hist', 'piClim-histaer',\n", " 'amip-4xCO2', 'faf-water', 'faf-passiveheat', '1pctCO2-rad',\n", " 'faf-stress', '1pctCO2-bgc', 'aqua-control', 'amip-future4K',\n", " 'amip-p4K', 'aqua-p4K', 'amip-lwoff', 'amip-m4K', 'aqua-4xCO2',\n", " 'amip-p4K-lwoff', 'hist-noLu', '1pctCO2-cdr',\n", " 'land-hist-altStartYear', 'land-hist', 'omip1', 'esm-pi-cdr-pulse',\n", " 'esm-ssp585', 'abrupt-solp4p', 'piControl-spinup', 'hist-stratO3',\n", " 'abrupt-solm4p', 'midHolocene', 'lig127k', 'aqua-p4K-lwoff',\n", " 'esm-piControl-spinup', 'ssp245-GHG', 'ssp245-nat',\n", " 'dcppC-amv-neg', 'dcppC-amv-ExTrop-neg', 'dcppC-atl-control',\n", " 'dcppC-amv-pos', 'dcppC-ipv-NexTrop-neg', 'dcppC-ipv-NexTrop-pos',\n", " 'dcppC-atl-pacemaker', 'dcppC-amv-ExTrop-pos',\n", " 'dcppC-amv-Trop-neg', 'dcppC-pac-control', 'dcppC-ipv-pos',\n", " 'dcppC-pac-pacemaker', 'dcppC-ipv-neg', 'dcppC-amv-Trop-pos',\n", " 'piClim-BC', 'piClim-2xfire', 'piClim-SO2', 'piClim-OC',\n", " 'piClim-N2O', 'piClim-2xDMS', 'ssp460', 'ssp434', 'ssp534-over',\n", " 'deforest-globe', 'historical-cmip5', 'hist-bgc',\n", " 'piControl-cmip5', 'rcp26-cmip5', 'rcp45-cmip5', 'rcp85-cmip5',\n", " 'pdSST-piArcSIC', 'pdSST-piAntSIC', 'piSST-piSIC', 'piSST-pdSIC',\n", " 'ssp245-stratO3', 'hist-sol', 'hist-CO2', 'hist-volc',\n", " 'hist-totalO3', 'hist-nat-cmip5', 'hist-aer-cmip5',\n", " 'hist-GHG-cmip5', 'pdSST-futAntSIC', 'futSST-pdSIC', 'pdSST-pdSIC',\n", " 'ssp245-aer', 'pdSST-futArcSIC', 'dcppA-hindcast', 'dcppA-assim',\n", " 'dcppC-hindcast-noPinatubo', 'dcppC-hindcast-noElChichon',\n", " 'dcppC-hindcast-noAgung', 'ssp245-cov-modgreen',\n", " 'ssp245-cov-fossil', 'ssp245-cov-strgreen', 'ssp245-covid', 'lgm',\n", " 'ssp585-bgc', '1pctCO2to4x-withism', '1pctCO2-4xext',\n", " 'hist-resIPO', 'past1000', 'pa-futArcSIC', 'pa-pdSIC',\n", " 'historical-ext', 'pdSST-futArcSICSIT', 'pdSST-futOkhotskSIC',\n", " 'pdSST-futBKSeasSIC', 'pa-piArcSIC', 'pa-piAntSIC', 'pa-futAntSIC',\n", " 'pdSST-pdSICSIT'], dtype=object)" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "col.df['experiment_id'].unique()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The experiments you are probably most interested in are the following:\n", "- `piControl`: In most cases this is the 'spin up' phase of the model, where it is run with a constant forcing (representing pre-industrial greenhouse gas concentrations)\n", "- `historical`: This experiment is run with the observed forcing in the past. \n", "- `ssp***`: A set of [\"Shared Socioeconomic Pathways\"](https://www.sciencedirect.com/science/article/pii/S0959378016300681) which represent different combined scenarios of future greenhouse gas emissions and other socio-economic indicators ([Explainer](https://www.carbonbrief.org/explainer-how-shared-socioeconomic-pathways-explore-future-climate-change/)). These are a fairly complex topic, but to simplify this for our purposes here we can treat `ssp585` as the 'worst-case' and `ssp245` as 'middle-of-the-road'.\n", "\n", "You can explore the available models (`source_id`) in the same way as above:" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array(['CMCC-CM2-HR4', 'EC-Earth3P-HR', 'HadGEM3-GC31-MM',\n", " 'HadGEM3-GC31-HM', 'HadGEM3-GC31-LM', 'EC-Earth3P', 'ECMWF-IFS-HR',\n", " 'ECMWF-IFS-LR', 'HadGEM3-GC31-LL', 'CMCC-CM2-VHR4', 'GFDL-CM4',\n", " 'GFDL-AM4', 'IPSL-CM6A-LR', 'E3SM-1-0', 'CNRM-CM6-1', 'GFDL-ESM4',\n", " 'GFDL-ESM2M', 'GFDL-CM4C192', 'GFDL-OM4p5B', 'GISS-E2-1-G',\n", " 'GISS-E2-1-H', 'CNRM-ESM2-1', 'BCC-CSM2-MR', 'BCC-ESM1', 'MIROC6',\n", " 'AWI-CM-1-1-MR', 'EC-Earth3-LR', 'IPSL-CM6A-ATM-HR', 'CESM2',\n", " 'CESM2-WACCM', 'CNRM-CM6-1-HR', 'MRI-ESM2-0', 'SAM0-UNICON',\n", " 'GISS-E2-1-G-CC', 'UKESM1-0-LL', 'EC-Earth3', 'EC-Earth3-Veg',\n", " 'FGOALS-f3-L', 'CanESM5', 'CanESM5-CanOE', 'INM-CM4-8',\n", " 'INM-CM5-0', 'NESM3', 'MPI-ESM-1-2-HAM', 'CAMS-CSM1-0',\n", " 'MPI-ESM1-2-LR', 'MPI-ESM1-2-HR', 'MRI-AGCM3-2-H', 'MRI-AGCM3-2-S',\n", " 'MCM-UA-1-0', 'INM-CM5-H', 'KACE-1-0-G', 'NorESM2-LM',\n", " 'FGOALS-f3-H', 'FGOALS-g3', 'MIROC-ES2L', 'FIO-ESM-2-0', 'NorCPM1',\n", " 'NorESM1-F', 'MPI-ESM1-2-XR', 'CESM1-1-CAM5-CMIP5', 'E3SM-1-1',\n", " 'KIOST-ESM', 'ACCESS-CM2', 'NorESM2-MM', 'ACCESS-ESM1-5',\n", " 'IITM-ESM', 'GISS-E2-2-G', 'CESM2-FV2', 'GISS-E2-2-H',\n", " 'CESM2-WACCM-FV2', 'CIESM', 'E3SM-1-1-ECA', 'TaiESM1',\n", " 'AWI-ESM-1-1-LR', 'EC-Earth3-Veg-LR', 'CMCC-ESM2', 'CMCC-CM2-SR5',\n", " 'EC-Earth3-AerChem', 'IPSL-CM6A-LR-INCA', 'IPSL-CM5A2-INCA',\n", " 'BCC-CSM2-HR', 'EC-Earth3P-VHR', 'CESM1-WACCM-SC', 'CAS-ESM2-0',\n", " 'EC-Earth3-CC', 'MIROC-ES2H', 'ICON-ESM-LR'], dtype=object)" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "col.df['source_id'].unique()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now you want to decide what variable (`variable_id`) you want to look at and in conjunction what time frequency of output (`table_id`) is available. This handy [spreadsheet](https://docs.google.com/spreadsheets/d/1UUtoz6Ofyjlpx5LdqhKcwHFz2SGoTQV2_yekHyMfL9Y/edit#gid=1221485271) can help you find the value for `variable_id` and the available time frequencies (`table_id`). \n", "\n", "Lets look at an example for monthly (`'table_id'='Omon'`) sea surface temperature (`'variable_id'='tos'`) for the `historical` experiment: " ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "

pangeo-cmip6 catalog with 2 dataset(s) from 6 asset(s):

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unique
activity_id1
institution_id1
source_id1
experiment_id1
member_id3
table_id1
variable_id1
grid_label2
zstore6
dcpp_init_year0
version2
derived_variable_id0
\n", "
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "cat = col.search(\n", " variable_id='tos', # ocean surface temperature\n", " table_id='Omon',\n", " experiment_id='historical',\n", " source_id=['GFDL-ESM4'],\n", ")\n", "cat" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The last facet we need to discuss is `member_id` and `grid_label`: \n", "You can see here that we have 3 `member_id` values for the given query. " ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array(['r3i1p1f1', 'r2i1p1f1', 'r1i1p1f1'], dtype=object)" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cat.df['member_id'].unique()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This indicates that for this particular model/experiment 3 ensemble members where run with varing realizations/initial_condiditions/physics/forcing or a combination thereof. The naming is explained in [this](https://docs.google.com/document/d/1h0r8RZr_f3-8egBMMh7aqLwy3snpD6_MrDz1q8n5XUk/edit)document:\n", "> Example of a variant_label: if realization_index=2, initialization_index=1, physics_index=3, and forcing_index=233, then variant_label = “r2i1p3f233”.\n", "\n", "There can be many more members for some particular models, which provides an opportunity to investigate internal variability of the climate system as compared to forced signals.\n", "\n", "Finally there are two values of `grid_label`" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array(['gr', 'gn'], dtype=object)" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cat.df['grid_label'].unique()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The value `gn` always stands for the native model grid (which can be quite complex but preserves the most detail) and `gr` indicates data that has been regridded on regular lon/lat intervals.\n", "\n", "Now that you know how to query and subset the collection, it is time to actually load in some model data as xarray datasets!" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "--> The keys in the returned dictionary of datasets are constructed as follows:\n", "\t'activity_id.institution_id.source_id.experiment_id.table_id.grid_label'\n" ] }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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Try using swap_dims instead or use set_index after rename to create an indexed coordinate.\n", " return obj.rename({kk: vv for kk, vv in rdict.items() if kk in obj.dims})\n", "/srv/conda/envs/notebook/lib/python3.9/site-packages/xmip/preprocessing.py:106: UserWarning: Renaming failed with 'lat'\n", " warnings.warn(f\"Renaming failed with {e}\")\n", "/srv/conda/envs/notebook/lib/python3.9/site-packages/xmip/preprocessing.py:106: UserWarning: Renaming failed with 'lon'\n", " warnings.warn(f\"Renaming failed with {e}\")\n", "/srv/conda/envs/notebook/lib/python3.9/site-packages/xmip/preprocessing.py:106: UserWarning: Renaming failed with 'tos'\n", " warnings.warn(f\"Renaming failed with {e}\")\n", "/srv/conda/envs/notebook/lib/python3.9/site-packages/xmip/preprocessing.py:106: UserWarning: Renaming failed with 'area'\n", " warnings.warn(f\"Renaming failed with {e}\")\n", "/srv/conda/envs/notebook/lib/python3.9/site-packages/xmip/preprocessing.py:106: UserWarning: Renaming failed with 'time_bounds'\n", " warnings.warn(f\"Renaming failed with {e}\")\n", "/srv/conda/envs/notebook/lib/python3.9/site-packages/xmip/preprocessing.py:106: UserWarning: Renaming failed with 'tos'\n", " warnings.warn(f\"Renaming failed with {e}\")\n", "/srv/conda/envs/notebook/lib/python3.9/site-packages/xmip/preprocessing.py:106: UserWarning: Renaming failed with 'tos'\n", " warnings.warn(f\"Renaming failed with {e}\")\n", "/srv/conda/envs/notebook/lib/python3.9/site-packages/xmip/preprocessing.py:106: UserWarning: Renaming failed with the new name 'lon_bounds' conflicts\n", " warnings.warn(f\"Renaming failed with {e}\")\n", "/srv/conda/envs/notebook/lib/python3.9/site-packages/xmip/preprocessing.py:106: UserWarning: Renaming failed with the new name 'lat_bounds' conflicts\n", " warnings.warn(f\"Renaming failed with {e}\")\n", "/srv/conda/envs/notebook/lib/python3.9/site-packages/xmip/preprocessing.py:83: UserWarning: rename 'bnds' to 'bnds' does not create an index anymore. Try using swap_dims instead or use set_index after rename to create an indexed coordinate.\n", " return obj.rename({kk: vv for kk, vv in rdict.items() if kk in obj.dims})\n", "/srv/conda/envs/notebook/lib/python3.9/site-packages/xmip/preprocessing.py:106: UserWarning: Renaming failed with 'lat'\n", " warnings.warn(f\"Renaming failed with {e}\")\n", "/srv/conda/envs/notebook/lib/python3.9/site-packages/xmip/preprocessing.py:106: UserWarning: Renaming failed with 'lon'\n", " warnings.warn(f\"Renaming failed with {e}\")\n", "/srv/conda/envs/notebook/lib/python3.9/site-packages/xmip/preprocessing.py:106: UserWarning: Renaming failed with 'tos'\n", " warnings.warn(f\"Renaming failed with {e}\")\n", "/srv/conda/envs/notebook/lib/python3.9/site-packages/xmip/preprocessing.py:106: UserWarning: Renaming failed with 'area'\n", " warnings.warn(f\"Renaming failed with {e}\")\n", "/srv/conda/envs/notebook/lib/python3.9/site-packages/xmip/preprocessing.py:106: UserWarning: Renaming failed with 'time_bounds'\n", " warnings.warn(f\"Renaming failed with {e}\")\n", "/srv/conda/envs/notebook/lib/python3.9/site-packages/xmip/preprocessing.py:106: UserWarning: Renaming failed with 'tos'\n", " warnings.warn(f\"Renaming failed with {e}\")\n", "/srv/conda/envs/notebook/lib/python3.9/site-packages/xmip/preprocessing.py:106: UserWarning: Renaming failed with 'tos'\n", " warnings.warn(f\"Renaming failed with {e}\")\n", "/srv/conda/envs/notebook/lib/python3.9/site-packages/xmip/preprocessing.py:106: UserWarning: Renaming failed with the new name 'lon_bounds' conflicts\n", " warnings.warn(f\"Renaming failed with {e}\")\n", "/srv/conda/envs/notebook/lib/python3.9/site-packages/xmip/preprocessing.py:106: UserWarning: Renaming failed with the new name 'lat_bounds' conflicts\n", " warnings.warn(f\"Renaming failed with {e}\")\n", "/srv/conda/envs/notebook/lib/python3.9/site-packages/xmip/preprocessing.py:83: UserWarning: rename 'bnds' to 'bnds' does not create an index anymore. Try using swap_dims instead or use set_index after rename to create an indexed coordinate.\n", " return obj.rename({kk: vv for kk, vv in rdict.items() if kk in obj.dims})\n", "/srv/conda/envs/notebook/lib/python3.9/site-packages/xmip/preprocessing.py:106: UserWarning: Renaming failed with 'lat'\n", " warnings.warn(f\"Renaming failed with {e}\")\n", "/srv/conda/envs/notebook/lib/python3.9/site-packages/xmip/preprocessing.py:106: UserWarning: Renaming failed with 'lon'\n", " warnings.warn(f\"Renaming failed with {e}\")\n", "/srv/conda/envs/notebook/lib/python3.9/site-packages/xmip/preprocessing.py:106: UserWarning: Renaming failed with 'tos'\n", " warnings.warn(f\"Renaming failed with {e}\")\n" ] } ], "source": [ "# create a smaller catalog from the full collection using faceted search\n", "cat = col.search(\n", " variable_id='tos', # Ocean surface temperature\n", " experiment_id='historical', # only runs for the historical forcing period\n", " table_id='Omon', # monthly oceanic data\n", " grid_label='gn', #native model grid only\n", " source_id=['IPSL-CM6A-LR', 'MRI-ESM2-0', 'GFDL-ESM4'], # only choosing a few models here, there are many more!\n", " member_id=['r1i1p1f1', 'r2i1p1f1', 'r3i1p1f1'], #lets restrict us here to only a few members, you can modify this later to experiment.\n", ")\n", "\n", "# read all datasets into a dictionary but apply the xmip preprocessing before\n", "ddict = cat.to_dataset_dict(\n", " preprocess=combined_preprocessing,\n", " xarray_open_kwargs={'use_cftime':True},\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here we did two things: \n", "- We searched the full collection based on a combination of facets like the variable, the experiment and only a test set of models.\n", "- We loaded the datasets into a dictionary of xarray datasets (note they are not loaded into memory, but instead these are lazyly loaded dask arrays -- more on this in the following lectures)." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['CMIP.IPSL.IPSL-CM6A-LR.historical.Omon.gn',\n", " 'CMIP.MRI.MRI-ESM2-0.historical.Omon.gn',\n", " 'CMIP.NOAA-GFDL.GFDL-ESM4.historical.Omon.gn']" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "list(ddict.keys())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can see that we have three different models. Lets look at them in a bit more detail to understand the layout:" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.Dataset>\n",
       "Dimensions:         (y: 332, x: 362, member_id: 3, dcpp_init_year: 1,\n",
       "                     time: 1980, vertex: 4, bnds: 2)\n",
       "Coordinates: (12/13)\n",
       "    area            (y, x) float32 dask.array<chunksize=(332, 362), meta=np.ndarray>\n",
       "    lat_verticies   (y, x, vertex) float32 dask.array<chunksize=(332, 362, 4), meta=np.ndarray>\n",
       "    lon_verticies   (y, x, vertex) float32 dask.array<chunksize=(332, 362, 4), meta=np.ndarray>\n",
       "    lat             (y, x) float32 dask.array<chunksize=(332, 362), meta=np.ndarray>\n",
       "    lon             (y, x) float32 dask.array<chunksize=(332, 362), meta=np.ndarray>\n",
       "  * time            (time) object 1850-01-16 12:00:00 ... 2014-12-16 12:00:00\n",
       "    ...              ...\n",
       "  * y               (y) int64 0 1 2 3 4 5 6 7 ... 325 326 327 328 329 330 331\n",
       "  * x               (x) int64 0 1 2 3 4 5 6 7 ... 355 356 357 358 359 360 361\n",
       "    lon_bounds      (bnds, y, x) float32 dask.array<chunksize=(1, 332, 362), meta=np.ndarray>\n",
       "    lat_bounds      (bnds, y, x) float32 dask.array<chunksize=(1, 332, 362), meta=np.ndarray>\n",
       "  * member_id       (member_id) object 'r1i1p1f1' 'r2i1p1f1' 'r3i1p1f1'\n",
       "  * dcpp_init_year  (dcpp_init_year) float64 nan\n",
       "Dimensions without coordinates: vertex, bnds\n",
       "Data variables:\n",
       "    tos             (member_id, dcpp_init_year, time, y, x) float32 dask.array<chunksize=(1, 1, 251, 332, 362), meta=np.ndarray>\n",
       "Attributes: (12/52)\n",
       "    CMIP6_CV_version:                 cv=6.2.3.5-2-g63b123e\n",
       "    Conventions:                      CF-1.7 CMIP-6.2\n",
       "    EXPID:                            historical\n",
       "    NCO:                              "4.6.0"\n",
       "    activity_id:                      CMIP\n",
       "    branch_method:                    standard\n",
       "    ...                               ...\n",
       "    intake_esm_attrs:variable_id:     tos\n",
       "    intake_esm_attrs:grid_label:      gn\n",
       "    intake_esm_attrs:version:         20180803\n",
       "    intake_esm_attrs:_data_format_:   zarr\n",
       "    variant_info:                     Restart from another point in piControl...\n",
       "    intake_esm_dataset_key:           CMIP.IPSL.IPSL-CM6A-LR.historical.Omon.gn
" ], "text/plain": [ "\n", "Dimensions: (y: 332, x: 362, member_id: 3, dcpp_init_year: 1,\n", " time: 1980, vertex: 4, bnds: 2)\n", "Coordinates: (12/13)\n", " area (y, x) float32 dask.array\n", " lat_verticies (y, x, vertex) float32 dask.array\n", " lon_verticies (y, x, vertex) float32 dask.array\n", " lat (y, x) float32 dask.array\n", " lon (y, x) float32 dask.array\n", " * time (time) object 1850-01-16 12:00:00 ... 2014-12-16 12:00:00\n", " ... ...\n", " * y (y) int64 0 1 2 3 4 5 6 7 ... 325 326 327 328 329 330 331\n", " * x (x) int64 0 1 2 3 4 5 6 7 ... 355 356 357 358 359 360 361\n", " lon_bounds (bnds, y, x) float32 dask.array\n", " lat_bounds (bnds, y, x) float32 dask.array\n", " * member_id (member_id) object 'r1i1p1f1' 'r2i1p1f1' 'r3i1p1f1'\n", " * dcpp_init_year (dcpp_init_year) float64 nan\n", "Dimensions without coordinates: vertex, bnds\n", "Data variables:\n", " tos (member_id, dcpp_init_year, time, y, x) float32 dask.array\n", "Attributes: (12/52)\n", " CMIP6_CV_version: cv=6.2.3.5-2-g63b123e\n", " Conventions: CF-1.7 CMIP-6.2\n", " EXPID: historical\n", " NCO: \"4.6.0\"\n", " activity_id: CMIP\n", " branch_method: standard\n", " ... ...\n", " intake_esm_attrs:variable_id: tos\n", " intake_esm_attrs:grid_label: gn\n", " intake_esm_attrs:version: 20180803\n", " intake_esm_attrs:_data_format_: zarr\n", " variant_info: Restart from another point in piControl...\n", " intake_esm_dataset_key: CMIP.IPSL.IPSL-CM6A-LR.historical.Omon.gn" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ddict['CMIP.IPSL.IPSL-CM6A-LR.historical.Omon.gn']" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.Dataset>\n",
       "Dimensions:         (member_id: 3, dcpp_init_year: 1, time: 1980, y: 576,\n",
       "                     x: 720, vertex: 4, bnds: 2)\n",
       "Coordinates:\n",
       "  * x               (x) float64 -299.8 -299.2 -298.8 ... 58.75 59.25 59.75\n",
       "  * y               (y) float64 -77.91 -77.72 -77.54 ... 89.47 89.68 89.89\n",
       "    lat             (y, x) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    lat_verticies   (y, x, vertex) float32 dask.array<chunksize=(576, 720, 4), meta=np.ndarray>\n",
       "    lon             (y, x) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    lon_verticies   (y, x, vertex) float32 dask.array<chunksize=(576, 720, 4), meta=np.ndarray>\n",
       "  * time            (time) object 1850-01-16 12:00:00 ... 2014-12-16 12:00:00\n",
       "    time_bounds     (time, bnds) object dask.array<chunksize=(1980, 2), meta=np.ndarray>\n",
       "    lon_bounds      (bnds, y, x) float32 dask.array<chunksize=(1, 576, 720), meta=np.ndarray>\n",
       "    lat_bounds      (bnds, y, x) float32 dask.array<chunksize=(1, 576, 720), meta=np.ndarray>\n",
       "  * member_id       (member_id) object 'r1i1p1f1' 'r2i1p1f1' 'r3i1p1f1'\n",
       "  * dcpp_init_year  (dcpp_init_year) float64 nan\n",
       "Dimensions without coordinates: vertex, bnds\n",
       "Data variables:\n",
       "    tos             (member_id, dcpp_init_year, time, y, x) float32 dask.array<chunksize=(1, 1, 64, 576, 720), meta=np.ndarray>\n",
       "Attributes: (12/48)\n",
       "    Conventions:                      CF-1.7 CMIP-6.0 UGRID-1.0\n",
       "    activity_id:                      CMIP\n",
       "    branch_method:                    standard\n",
       "    branch_time_in_child:             0.0\n",
       "    comment:                          <null ref>\n",
       "    contact:                          gfdl.climate.model.info@noaa.gov\n",
       "    ...                               ...\n",
       "    intake_esm_attrs:experiment_id:   historical\n",
       "    intake_esm_attrs:table_id:        Omon\n",
       "    intake_esm_attrs:variable_id:     tos\n",
       "    intake_esm_attrs:grid_label:      gn\n",
       "    intake_esm_attrs:_data_format_:   zarr\n",
       "    intake_esm_dataset_key:           CMIP.NOAA-GFDL.GFDL-ESM4.historical.Omo...
" ], "text/plain": [ "\n", "Dimensions: (member_id: 3, dcpp_init_year: 1, time: 1980, y: 576,\n", " x: 720, vertex: 4, bnds: 2)\n", "Coordinates:\n", " * x (x) float64 -299.8 -299.2 -298.8 ... 58.75 59.25 59.75\n", " * y (y) float64 -77.91 -77.72 -77.54 ... 89.47 89.68 89.89\n", " lat (y, x) float32 dask.array\n", " lat_verticies (y, x, vertex) float32 dask.array\n", " lon (y, x) float32 dask.array\n", " lon_verticies (y, x, vertex) float32 dask.array\n", " * time (time) object 1850-01-16 12:00:00 ... 2014-12-16 12:00:00\n", " time_bounds (time, bnds) object dask.array\n", " lon_bounds (bnds, y, x) float32 dask.array\n", " lat_bounds (bnds, y, x) float32 dask.array\n", " * member_id (member_id) object 'r1i1p1f1' 'r2i1p1f1' 'r3i1p1f1'\n", " * dcpp_init_year (dcpp_init_year) float64 nan\n", "Dimensions without coordinates: vertex, bnds\n", "Data variables:\n", " tos (member_id, dcpp_init_year, time, y, x) float32 dask.array\n", "Attributes: (12/48)\n", " Conventions: CF-1.7 CMIP-6.0 UGRID-1.0\n", " activity_id: CMIP\n", " branch_method: standard\n", " branch_time_in_child: 0.0\n", " comment: \n", " contact: gfdl.climate.model.info@noaa.gov\n", " ... ...\n", " intake_esm_attrs:experiment_id: historical\n", " intake_esm_attrs:table_id: Omon\n", " intake_esm_attrs:variable_id: tos\n", " intake_esm_attrs:grid_label: gn\n", " intake_esm_attrs:_data_format_: zarr\n", " intake_esm_dataset_key: CMIP.NOAA-GFDL.GFDL-ESM4.historical.Omo..." ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ddict['CMIP.NOAA-GFDL.GFDL-ESM4.historical.Omon.gn']" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can see that both datasets have the same names for many of the coordinates (e.g. 'x' and 'y' for the logical indices in zonal and meridional direction). This is actually not always the case for the raw CMIP6 data, which is why [xMIP](https://github.com/jbusecke/xMIP) was developed in an effort to crowdsource these common data-cleaning tasks. For this example we only use the `combined_preprocessing` function which fixes some of the naming, but check out the [docs](https://cmip6-preprocessing.readthedocs.io/en/latest/?badge=latest) to see more helpful code for CMIP analysis.\n", "\n", "Ok but now lets analyze the data! Using what we know about xarray we can get a timeseries of the global sea surface temperature:" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "image/png": 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qKrlcjo0bNzJlyhQADjvssJ18B0xWrlzJzJkzC2r25K9JIpFIJHsX8UzceB1JRYZwJbuGFEBDiN1uL9hWFKVgny4GcrkcuVyOM888kzvvvLPHPPk9rnZmzu2RP/ayyy7j6quv7jFm1KhRxmuv17vdOftCVdVdPlcikUgke558AbQvusCkANpHOOSQQ3juueeoq6sblMypjz76yBAzXV1drFmzhsmTJxvX/uKLLxg/fvyAX1dn6tSpvPjiiz3WJJFIJJK9k1jGjCWNpPc9C5AMgt5HuOKKK+js7OSb3/wmS5YsYcOGDbzxxht85zvfIZvN7vb8v/jFL3j77bf5/PPPufjii6moqODss88G4LrrruPDDz/kiiuuoL6+nrVr1/Lyyy9z1VVX7fZ1df7f//t/rF+/nmuvvZbVq1fz1FNP8fjjjw/Y/BKJRCIZWOLpfdsCJAXQPkJtbS2LFi0im81yyimnMG3aNK655hpKSkqwWHb/Y7zjjju45pprOPTQQ2lqauLll1/G4XAAIq7o3XffZe3atRxzzDHMmDGDG264ocD1truMGjWK5557jldeeYXp06fz4IMPcttttw3Y/BKJRCIZWApigPZBC5CiyuCLHoRCIUpKSggGgxQXFxccSyQSbNy4kTFjxuByuYZohZKdQX5mEolEMvA8t+Y5bv7wZgCunnE13zuo//pve4L+nt/dkRYgiUQikUgkO01BEHRausAkEgBuu+02fD5fr/9OO+20oV6eRCKRSHaTgiBomQYvkQj+3//7fz2qVOu43e49vBqJRCKRDDSyDpBE0gtlZWWUlZUN9TIkEolEMkhIF5hEIpFIJJL9jn3dAiQFkEQikUgkkp0mvw7QvpgGLwWQRCKRSCSSnSY/CFoWQpRIJBKJRPLlIJOE138Gm97v9XC+CyyYDHPa/Qt5bNHGPbW63UYKIIlEIpFIJD1Z/2/48AH49696PZwvgBLZGCubArz4acOeWt1uIwWQpF82bdqEoijU19cPyfVvvvlmqqurURSlR7NUiUQikQwi0TbxMxHq9XC+AALAkiSRzg3yogYOKYD2c/74xz8yd+5ciouLURSFQCBQcHzkyJE0NTUxbdo0Y5/eM8zpdHLwwQfv0nWbmpqYN28ekyZNwmKx8MMf/rDHmJUrV3LLLbfw0EMP0dTUxGmnncYXX3zBueeeS11dHYqicN999+3S9SUSiUSyHeIB8bO70NGIpmPEN8aJbxbHFUuCRGb3m3PvKaQA2o9JpVLEYjFOPfVU/ud//qfXMVarlZqaGmw2s2SUqqp85zvf4Rvf+MYuXzuZTFJZWcnPfvYzpk+f3uuY9evXA3DWWWdRU1OD0+kkFosxduxY7rjjDmpqanb5+hKJRCLZDomg+JlO9Hq4ZWUL629Zz/qb1hPfFEexxkmkpQDaId577z3OPPNMamtrt+viuOyyy3boG//DDz/MMcccQ2lpKaWlpZx44oksWbJkYBe+jzJ37lyuvPJKrr32WioqKjjppJP44Q9/yE9/+lNmzpzZ6zm9ucB++9vfcsUVVzB27Nhez3n88cfx+/28+OKLTJw4EZfLxUknncTWrVuNMXV1ddx///1cdNFFlJSU9Jjj5ptv5swzzwTAYrGgKAoAhx9+OHfffTcXXHABTqdzV98KiUQikWyPRED87MMC1Lmm03gd+TwiLED9uMDe2fIO7217byBXuFsMqQCKRqNMnz6dBx54oN9xL774IosXL6a2tna7cy5YsIBvfvObvPPOO3z44YeMGjWKk08+mYaGwQvMUlWVWCozJP9UVd2ptT7xxBPYbDYWLVrEQw89NEjvCMRiMW699VaeeOIJFi1aRCgU4oILLtjh83/84x/z2GOPAcJd1tTUNFhLlUgkEklv6C6wXixAOTVHKp40tpPNSbAm+rQAbQhs4Op3rubaBdeSzCZ7HbOnGdJWGKeddtp2G2M2NDRw5ZVX8vrrr3PGGWdsd84nn3yyYPvhhx/m2Wef5e233+aiiy7arfX2RTydZeqNrw/K3NtjxS9OwePY8Y9x/Pjx3HXXXYO4IkE6neaBBx7gyCOPBITwmjJlCkuWLOGII47Y7vk+nw+/3w8gXV0SiUQyFORbgFQVNEs8QCKTIJc0rT2p5hSKJUkykyOXU7FYlIKp/rb6bwAks0m6El3UeIf+7/peHQOUy+WYP38+P/nJTzjggAN2aY5YLEY6nZZ9qTQOO+ywPXIdm81WcK3Jkyfj9/tZuXLlHrm+RCKRSHYTPQYIRE2gPGKZGLmEKYCSzUkUq7AUJTOFbrBoOsrL6182tgPJwMCvdRfYq5uh3nnnndhsNq6++updnuOnP/0pw4cP58QTT+xzTDKZJJk0P9xQqPeUv75w262s+MUpu7zG3cFtt+7UeK/XO0gr6YmiKDu0TyKRSCR7IboLDCAdA7vLPJSJF1iAspEsuXgXAIl0FrfDfDa9sv4Voumosd2ZMGOHhpK9VgB98skn3H///SxbtmyXH5p33XUX//d//8eCBQtwuVx9jrv99tu55ZZbdnWpKIqyU26o/YFMJsPSpUsNd9fq1asJBAJMnjx5iFcmkUgkkh1Cd4EBZArjgGLpQgsQQKazGcVDQSq8qqr8bdXfCsYF8ucdQvZaF9jChQtpbW1l1KhR2Gw2bDYbmzdv5kc/+hF1dXXbPf+ee+7htttu44033uCggw7qd+z1119PMBg0/uVnK33ZaW5upr6+nnXr1gGwfPly6uvr6ezsW6GvW7eO+vp6mpubicfj1NfXU19fTyqVMsbY7XauuuoqFi9ezLJly7jkkkuYOXNmQfyPfl4kEqGtrY36+npWrFjR73pTqVTB9RoaGgrWL5FIJJIBQFW7WYAKM8G6W4AAsh3tAAWZYC+vXsj64HrcNjdH1R4FQFeya3DWvJPstWaL+fPn93BbnXLKKcyfP59LLrmk33PvvvtufvWrX/H666/vUMyL0+ncb1OqH3zwwQLr17HHHgvAY489xsUXX9zrOZdeeinvvvuusT1jxgwANm7caIhTj8fDddddx7x589i2bRuzZ8/m0UcfLZhHPw+Exe+pp55i9OjRbNq0qc/1NjY2Fpx3zz33cM899zBnzhwWLFiwI7cskUgkku2RjkMubW53swDFM/EeFqBUWwe2kRRkgt31wWNghcMrTmRYkQeAroQUQEQikYJv7hs3bqS+vp6ysjJGjRpFeXl5wXi73U5NTQ2TJk0y9l100UUMHz6c22+/HRBurxtuuIGnnnqKuro6mpubAZFV5PP59sBd7b30JhBuvvlmbr755j7Pqaur65Fqv6NC45xzzuGcc87p8/j2UvjPPvvsHmN6W49EIpFIdo/HP3+cf278J386+U+UOEsK3V/QIxW+NwtQqq0LD4UCKKpuBqBSOYJSlyhHs7cEQQ+pC2zp0qXMmDHD+EZ/7bXXMmPGDG688cYdnmPLli0FNWJ+//vfk0ql+PrXv86wYcOMf/fcc8+Ar18ikUgkki8DL294mVWdq6hvrRc78t1f0KMYYm8WoGSLSCDKd4FlLWEAOkMu/E4/IC1AgKhMvDPf5ntzjXS3RvTnPpFIJBKJRNKTuBbjE89qQmc7FqBYJtbDApRsjaLmsoYFKJVNgUWc19hpo9RZCuw9MUB7bRC0ZN/l4osv7tFUVSKRSCR7L4msXsNHKwmTXwMIRBp8HvF0TxeYmlXJBFsMAaSnu6uqhU1tKqUuTQDtJRYgKYAkEolEItnPiWsuroQe7NzDBbb9NHiAdGeDkQbfEhVZYWrGR0tzK++/toTo2uheEwO012aBSSQSiUQiGXxUVTWEj24J6ukCK4wBCkVD0EsES6ZjqxED1Bxtp+PtDjre3Eiq+UL+Wxtju8GGep465IVxpQVIIpFIJJL9mHQuTVYVVhvdErQ9C1AwbLrIivyl5lxdWwwX2Kr1q2n6SxOp5mjBueF1YcLp8ACtfteRAkgikUgkkv2YeF6Gl+EC6xEDVGgByhdA4yYfaLzOdDUYFqA169ca+21OT96YzF4RByQFkEQikUgk+zGJPOtOMqsHQQcKB3WzAIUjpgWnunY49mI7AOmORoh1wKL7ady22RgzcfJE43U6kJYCSCKRSCQSydCSbwHq4QJzaAWEu1mAIpGI8drn8+EbLsZlI0Emr/49vHkjXZuWG2MOGWY2R013pfeKQGgpgCT9smnTJhRFob6+fkiuf/PNN1NdXY2iKLz44otDsgaJRCL5MmMEPue/1l1gRTXiZz8CqMhXRMmwEmM7s+VTALo6TCvPzIowxVrHqUxAusAkQ0xnZydXXXUVkyZNwuPxMGrUKK6++mqCQdO3O3LkSJqampg2bZqx75prruHQQw/F6XRy8MEH79K1m5qamDdvHpMmTcJisfDDH/6wx5iVK1dyyy238NBDD9HU1MRpp53GF198wbnnnktdXR2KonDfffft0vUlEolEIug9BiggfhYNEz+7VYKORcy6QMXFPvw1fnOOtk0AhAKmsJrpa2V4kZAc6a40ncEtA7P43UAKoP2Ybdu20djYyD333MPy5ct5/PHHee211/jud79rjLFardTU1GCzmRUTVFXlO9/5Dt/4xjd2+drJZJLKykp+9rOfMX369F7HrF+/HoCzzjqLmpoanE4nsViMsWPHcscdd1BTU7PL15dIJBKJoFcBpLvAfNXiZ7dK0NGomdlVbolSVl1mbDcHUwCEQmZPsDHFWaqLxHNETak0bawfoNXvOlIA7UfMnTuXK6+8kmuvvZaKigquuuoqnnvuOc4880zGjRvH8ccfz6233sorr7xCJpMBeneB/fa3v+WKK65g7NixvV7n8ccfx+/38+KLLzJx4kRcLhcnnXQSW7duNcbU1dVx//33c9FFF1FSUtJjjptvvpkzzzwTAIvFYtSLOPzww7n77ru54IILcDqdA/XWSCQSyaCQy6lc+KfFzH9k8V7byLlAAHWvA6S7wLr3AouZ2yNW/YnKKlMANYRzqEBME0BWm5VSF7iKzL/1WzatGbgb2EVkIcSBQFV7lAnfY9g9sBPFpJ544gkuv/xyFi1a1Ot/xmAwSHFxcYHFZ1eIxWLceuutPPHEEzgcDn7wgx9wwQUXsGjRoh06/8c//jF1dXVccsklBc1uJRKJZF+iKZTg/XWiInIkmaHIZR/iFfUkPwsskUlAJmU+03QXWDcLUCJmbhdbU9QUm8e2hVRCpaPIBFcBUFHkRFEUVF810AZAc1PzwN/ITiIF0ECQjsFttUNz7f9pBId3h4ePHz+eu+66q9djHR0d/PKXv+Syyy7b7WWl02keeOABjjzySEAIrylTprBkyRKOOOKI7Z7v8/nw+/0A0tUlkUj2WTZ3mK6iVKZn64i9gR4usPwaQLoLrFsafDKWNIc4FGodZlr8tlCO1mnnkQnfBMBwr7jviG8k8DkAre0RiHWCx7Qc7WmkC2w/47DDDut1fygU4owzzmDq1KncdNNNu30dm81WcK3Jkyfj9/tZuXLlbs8tkUgk+wpbOkzvQHIvFUAFFqBswnR/OUvML9h5Xo5sLksqnjK2fQ6oSW1DsQlvRENYZYN9uNEqY6RXhFS0+sxaQJ2hLGxdPAh3s+NIC9BAYPcIS8xQXXsn8Hp7WovC4TCnnnoqPp+PF154Abt9YEy0vfV5GereLxKJRLIn2dy5DwigvDT4eCZuBkC7SsDuEq/ThSIpvxGqz6FQFOvEVmoj3ZZmW0hlfdC0KtX4FHLeasK+Uca+UCAHmxfBpNMG56Z2ACmABgJF2Sk31N5EKBTilFNOwel08vLLL+NyuQZk3kwmw9KlSw131+rVqwkEAkyePHlA5pdIJJJ9gUILULafkUNHLM+6U+ACc5eAzS1e57nJYukYuWShACrO5bCX2km3pQkkVNasX2ccr/EpWEYcireh2pwjkCG9eRFDGRElBdB+TDgc5uSTTyYWi/HXv/6VUChEKBQCoLKyEqvV2ut569atIxKJ0NzcTDweNzLEpk6disPhAMBut3PVVVfx29/+FrvdzpVXXsnMmTML4n/08yKRCG1tbdTX1+NwOJg6dWqfa06lUqxYscJ43dDQQH19PT6fj/Hjx+/uWyKRSCQDyuZOMwYomd77LUDJbBI13oUC4PL3agGKZ+LdLEAwJp3GXmbKmRX/WWG8HuazQO0hVFdXsV6xgJojHUgTmPIVKgfrpnYAKYD2Yz755BMWLxY+2O7iYePGjdTV1fV63qWXXsq7775rbM+YMaPHOR6Ph+uuu4558+axbds2Zs+ezaOPPlowj36evpannnqK0aNHs2nTpj7X3NjYWHDePffcwz333MOcOXNYsGDB9m5ZIpFI9ij7QgxQfhB0Vs2SiXcIy4yrdwtQPBMvtACNPoSqjno8fjt6+PT65euN4zU+BepmU7E8i9VbSjbSIRqiHnCmFECSPUN3gTB37tzt1qWoq6vrMWZHhcY555zDOeec0+fx7V377LPP7jGmt/VIJBLJ3kggliKUyBjbQ+UCy+QyXPn2lbhtbu6de2+PWMxEtwyveEwTQG7/DlmAPBOOwZJsYlRRF3rRkoZVDcbx1qNugNGzKPd9jLWoXAigcIb2cDsTS83A6D2NzAKTSCQSiWQQ2NxRWB9uqFxgixoWsahxEW9teYtYpmfNuni3IoeJRKd44fKbiTaZuKh5B8QyZgyQ1w4WbymMO4EpPvPLaTJqpsk7p5wEQJnXgbWoXOxUYd1WM05oKJACSCKRSCSSQSA/AwyGzgX24roXjdfdrT297UvoWWBuP9jyEmO0cfG0aQHyOhThKpt4Cod4erfO1w4TtdzKfQ5svnJj/6Ytm3buRgYYKYAkA87FF19MIBAY6mVIJBLJkLIlrwgiQCq7511gnYlOFmxdYGznBzzr9LAAJQPihcsPdrd5QOsIH8vEyKWEAPI5tHFTz2LWKdf2mNvi9uL3CStShddpWoCArQ1be4zfk0gBJJFIJBLJILA3uMD+ueGfZFQzDqk3C1BPASSygXH5wWoHRcsI1i1AeTFAPocixikK00/9b+hW6s3qLcVlF+eXeR1Y8yxATY1D2+ZICiCJRCKRSAaBLZoLzKKJgj3tAlNVtcD9BTsogFJaWwu3X/zUrUCaBSiSiKCmhbvLp7vAEOVPbCXu/KmwesvxOIQAKvc5CixArU2tO31PA4kUQBKJRCKRDAK6AKorF4Vy93QW2MrOlazpWoPD4qACIULivQRB624xRTPfJFKa687lFz/1OCBNPAXDZq8w4QIzu7w7SvwFc1u9pXgcIuG8wucsiAHqbOncpfsaKKQAkkgkEolkgEmkszSHhGCYUO0D9rwLTLf+HF91KJVJYb1JhBp6jNOtQn6nH4B4WhdAmrAxLEBiXCAcMM7NtwABOIurCua2+spwO/JcYHkWoFBbaOdvagCRAkgikUgkkgFmW1cMVQWf08YwzS20p11gy1qWAXCqoxKXKq6d7NrYY5zuAvNrFp+kHijd3QWmjQuG8i1AhQLI6x9dMLfV68edFwNkcbhRnCIouiRZwlAiBZBEIpFIJAOMHgA9qsyD0yYetXvaBRbWYnkqO7fg0mr4xINbCsbk1BzJrKjZU+osBSChF0rs7gLTYoDCkbBxvsdhNYslAr6y4QXz24vKcWj377JbKXLasHrLAGhsaBzSwrZSAEn6ZdOmTSiKYvTt2tPcfPPNVFdXoygKL7744pCsQSKRSHYWXQCNLs8XQHvWAhROC6Hia1mNKyeERncXWH5QdKlLCKC4ooCnHGyit2P3IOhwOE8AuZwF8xWVFbrAPP7ygu0ynwOb5gaLxWIEg0GGCimA9nMuu+wyxo0bh9vtprKykrPOOotVq1YZx0eOHElTUxPTpk0z9l1zzTUceuihOJ1ODj744F26blNTE/PmzWPSpElYLBZ++MMf9hizcuVKbrnlFh566CGampo47bTT+OKLLzj33HOpq6tDURTuu+++Xbq+RCKRDCZ6APSoMg9OzQW0J2OAcmqOqBbLU9SxzrAAJSLNBePyM8BKnMIllbAoqEXDSCQSPPnkk6xoSYsBmliKRs36Rm53YdZXSUVNwbbPX1GwXd4tDqihoWdM0p5CCqD9mFQqxaGHHspjjz3GypUref3111FVlZNPPpmsVrDLarVSU1ODzWa2jVNVle985zt84xvf2OVrJ5NJKisr+dnPfsb06dN7HbN+vWimd9ZZZ1FTU4PT6SQWizF27FjuuOMOampqej1PIpFIhhpDAJUPjQsslo6R0+J+inI5XJqnKRFtKxinCyCX1YXHJmJzEorCkg4X/3PjzVx44YXMvu0DoinVsABFI3kCyOMpmK+0svDvcnFZYbvTMq8T97gj+MqFl3H//fdTUVEokPYkUgDtR8ydO5crr7ySa6+9loqKCk466SS+//3vc+yxx1JXV8chhxzCr371K7Zu3Wp0ZO/NBfbb3/6WK664grFjx/Z6nccffxy/38+LL77IxIkTcblcnHTSSWzdalb9rKur4/777+eiiy6ipKRnINzNN9/MmWeeCYDFYjGa9x1++OHcfffdXHDBBTidzh7nSSQSyd5AU1BYS4b73UPiAoukIwDYsOBUVVzFIjYnno6C3upCVQ2XmNvmxqXF+iQUhfWJIh75698B6Iqm2BjIGRagghggr7fguqWV1eaG1U5Rt7T4Cp8D7+TZnHTxj7j66quprq5mqJDd4AcAVVV7FJLaU7ht7h6dffvjiSee4PLLL2fRokU9gs+i0SiPPfYYY8aMYeTIkbu1rlgsxq233soTTzyBw+HgBz/4ARdccAGLFi3aofN//OMfU1dXxyWXXEJT09BWC5VIJJKdJZwQbqNitx2nTbjAUntQAOkB0EVadR9X6Rjo/JSERYGOdTDiMFj6KPE3fwrDa3DZXDit4ktlQlHYGPMSajIzxtpjwgIUSoVo7jLdaG5vUcF1fR4PVl8Z2UgntuJKvM5CmVHuE3FFHZEkQ40UQANAPBPnyKeOHJJrL563GI/ds/2BGuPHj+euu+4q2Pf73/+e//7v/yYajTJ58mTefPNNHA7Hbq0rnU7zwAMPcOSR4n154oknmDJlCkuWLOGII47Y7vk+nw+/3w8gXV0SiWSfI5wQ7SeKXTac9qGzAPkyQoi5S0ZB56ckFQXa1wgBVP+kEESIL9Num4jnSVgsrG8o/FLfEVMhk2Bx02IyCbO1hreo0ILvdljwz72E5Kcv4zrsXCMFXqfMK0RWRzQ1gHe7a0gX2H7GYYcd1mPft771LT799FPeffddJkyYwPnnn08i0bNc+s5gs9kKrjV58mT8fj8rV67crXklEolkb0dVVSJJIRKKXPYhiQHSLUC+bAasDlxafZ64LoCi7dCwTGwDLpsLl9V0gW1pKczOEhagGIsaFpFLmkLOV+wvGOeyWfEdcBxjLv0d3smzjSKIOhWGBWjoBZC0AA0AbpubxfMWD9m1dwZvN38tQElJCSUlJUyYMIGZM2dSWlrKCy+8wDe/+c3dWltvrrmdcddJJBLJvkg8nSWrpZ0XuWyGC2yPWoBSwgJUlMtBzUG4HKIadUJRoG0NrH8HUA0BlB8DFFcUtmzdVjBfe0xFTcVZFKw3GqEC+PxlBeP0xqchzUrk6SaAyg0LkHSBfSlQFGWn3FB7O6qqkkzu3i9nJpNh6dKlhrtr9erVBAIBJk+ePBBLlEgkkr0W3f1ltSi47VbTArQH0+Aj6QjJliQt68Okv3KIad2xWIQFaN2b5jbgsjhwaV3fYxlo3VJYMbo9prIx1UFztBklaX6RLSotzOJy2QsdS90FUJlXWIA69wIXmBRA+zEbNmzg6aef5uSTT6ayspKGhgbuvPNO3G43p59+ep/nrVu3jkgkQnNzM/F43MgQmzp1qhE7ZLfbueqqq/jtb3+L3W7nyiuvZObMmQXxP/p5kUiEtrY26uvrcTgcTJ06tc9rp1IpVqxYYbxuaGigvr4en8/H+PHjd/MdkUgkkt1HD4D2OW0oimJUQt6TLrD2QDvrb1nP2liOu50NHDJNi+9RFOjcAHHRiFS3AHlUFVdKpO43bEuR1WKHdDriKosSont7McV00AFASbfCh65uMT/dt3UXWGc0RTanYrUMnVdACqD9GJfLxcKFC7nvvvvo6uqiurqaY489lg8++ICqqqo+z7v00kt59913je0ZM2YAsHHjRurq6gDweDxcd911zJs3j23btjF79mweffTRgnn08wA++eQTnnrqKUaPHm2k4PdGY2NjwXn33HMP99xzD3PmzGHBggU7cfcSiUQyOOjunyKXeMQOhQtsw7oN5GLien997SNm/fh7ACQsVlCzEOsARxGJoiogjSuTxpUUbrPG9T09AO0xlUUZIZq8OZ+xv7SiMI3d2U3wdLcAlWoWoJwKgViKct/QlTORAmg/ortAqK2t5dVXX+33nLq6uh7p8jsqNM455xzOOeecPo9vrwfM2Wef3WNMb+uRSCSSvYlwwgyABoYkC6y93Sx4uHLtRrqauwCI5/XtYuwc4tkWyLTgziRxJUR39rb1PZNgWmMqrTmttlDGzBIurawtGOeydXeBFcoMu9VCidtOMJ6mMzq0AkhmgUkkEolEMoDoLjDTAqTHAO05F1hne2HF52Xvic7wCWueIBl/InGnqOPjSsVwxQOoqkpwnaj0XFZWhsUljjclVJKoVHmqSMeEwLNbwFlcWOl5ey4wMGsBtQ9xJtiQCqD33nuPM888k9ra2u02u7zssst2uPfTc889x9SpU3E6nUydOpUXXnhh4BYtkUgkEkk/RHQLkHPoXGCB9o6C7Y/+/ZFYgyXvsT/+BOIOkcDjSoRxR7tINafIRIRQO+qoo7B6igHojAnL+1G1RxGNajWGHICrWx2g7bjAQPQDg6EPhB5SARSNRpk+fToPPPBAv+NefPFFFi9eTG1tbb/jAD788EO+8Y1vMH/+fP7zn/8wf/58zj//fBYvHpo09f2Riy++mEAgMNTLkEgkkiEh3CMGSDxqMznVSI8fbIKdhXV8Plr4EblMDqO8YeUU8I8iobnE3Ikgzkgbba+YlqPZs2dj82gNUhMquUyOsSVjiWqtMHwOpYcA6m7x6V0A7R2p8EMqgE477TR+9atf9Rsn0tDQwJVXXsmTTz6J3W7f7pz33XcfJ510Etdffz2TJ0/m+uuv54QTTpBdwyUSiUSyRzBdYIUxQLDn2mFEgtGC7WgkSmxtjISagVPvhHMfBiBuFWt0xzr543MfE/ggAIDD6eK8887D6TMFTjaSpdxdTkzrBu91WMBW2DWgexp8d4sQSBfYDpHL5Zg/fz4/+clPOOCAA3bonA8//JCTTz65YN8pp5zCBx980Oc5yWSSUChU8G97yEDcfQf5WUkkkj1J9ywwh9V81O6pVPhosGd/yshnEdK5NJkjLoWaAwGzDtAX/wly03PrjLGX33IHY8eOxVXkN/ZlI1lKnaXE42Lu7lWeoacFqLcxpgtsP7YAbY8777wTm83G1VdfvcPnNDc39+guW11dTXNzcx9nwO23325UQy4pKem3EahuhYrFYju8JsnQon9WO2JBlEgkkt2lexaYzWrBptW72VNxQIlwT+tKeLlwXSWzpvBIZFNkE1l++7cA+nfFqq9VcfTJJwLgzhNAmXAGHz5yOXEPbmfPv6nbK4QIGJlfQ90OY69Ng//kk0+4//77WbZs2U63T+g+XlXVfue4/vrrufbaa43tUCjUpwiyWq34/X5aW0VBKI/HI9s77KWoqkosFqO1tRW/34/V2vM/okQikQw0kaRWCNFlPmKdNguZVHaPVIPOqTmSEbEGm9XCIYcexpIlS0huS5LuTBPPxPHaRVukeCZOYnOCaFyon5KDfFR+tRK7TYg4b3GpMW82ksWRlwLvdPZsmq0HfOu47T1lRvle0g9srxVACxcupLW1lVGjRhn7stksP/rRj7jvvvv6LJZXU1PTw9rT2trawyqUj9PpxOnc8VoEendyXQRJ9m78fr/sKC+RSPYY+Z3gdZx2K9FUdo+4wKLpKNmwuE6Fv4jTTjuNJUuWiGOroiQyZp2feDZOstG0CFUc6ENRFKxWcQ8+f6EAsqVMgePq5bm5I0HQw0rcTBlWzJiKnr0p9yR7rQCaP38+J554YsG+U045hfnz53PJJZf0ed6sWbN48803+a//+i9j3xtvvMFRRx01YGtTFIVhw4ZRVVVFOp3e/gmSIcNut0vLj0Qi2aN0zwIDMw5oT7jAIqkImYhYQ1mZn2nTphnH0l3pAhdYPF0ogIpqXGTAEEAlJaYAsoXStGzbamwXF/UUMD2CoHsRQIeOLuVf1xyzk3c18AypAIpEIqxbZwZdbdy4kfr6esrKyhg1ahTl5eUF4+12OzU1NUyaNMnYd9FFFzF8+HBuv/12AK655hqOPfZY7rzzTs466yxeeukl3nrrLd5///0BX7/VapUPV4lEIpEU0D0LDPKrQQ++Bag12IqaEi6t1pQDi9dvHMsEMwUWoEQ2QbLJFEC+Gg8BQLGKeygpM5/D1lCGNatWGNsjagobocKOBUHvLQxpEPTSpUuZMWOG0dvp2muvZcaMGdx44407PMeWLVtoamoyto866ij+9re/8dhjj3HQQQfx+OOP8/TTT3PkkUcO+PolEolEIulObxagPdkRvqHZtNJknX4CqmmpyQQzxDNmhlg8EzcEkN8FTp+oC6QoQgCVlZcZY5VIhjWrVxvbw4b1DC2w5wV8Q+9p8HsLQ2oBmjt37k6lKPcW99NbX6qvf/3rfP3rX9+NlUkkEolEsmvoAsjnzBdAe64adNM207OScZdhLzJFTCaYIZEVFiBVVYlGoqQ7hNiZXGEF1QmkUBURoFxWZlp5cuEMa9auNbZrR4zo9fouu5VIMoPdqmC37r3J5nvvyiQSiUQi2cdIZrKkskLkFLjAbHvOBdbcuNF4rXhKyFoceL3CCpTvAkvn0sSbTGvQlAoLWVVkaGVUTQCVloJm0ElHsqxZtwEApxXKanrPltbjgPZm6w9IASSRSCQSyYChW3+gmwVoD3aEb21pNF5b3cWEExkjEzYdTBsusHimMAB6SoWFZM5Mjwco8jiweES2VzycZd2mLQCML7Ng8fh7vb5u7ereCX5vQwogiUQikUgGiHz3lzUvFmZPusDa28wSLRZ3EZGkKYBysRyhmOh2kB//A1A29/t05kTWl24lcjts2PTKzV1Z0mlxfxPLLWQ9vZeX0S1AvaXA701IASSRSCQSyQBhZoAVWj9MF9jgC6COzi7jtdVdTCjPAgTQ2iIEUiKTKLAAeY78FmpOiB09TsjrsGL19bTkDC/zEK48uNfr65lg3TPC9jakAJJIJBKJZIDoLQMM8rPABj8GKBAIG68t7uICCxBAW4vo+J6fAu90OimuHA6qiFvSLUAehxVrUU+pEC2diLuXStBgCh9pAZJIJBKJZD+htwww2LMusFBeJ3iLu5hIIl0ogFqFAArFQyRbhACaOHEiiQw9LEAehw1bUc9rrPPP7DPI2QiClgJIIpFIJJL9g96KIAI49qALLBwy3VpWT2EQNEBnWycA69evB80gNWXKFKKpTA8LkNWaxlbUs9/lxtIjeog8Hbe0AEkkEolEsn+xXRfYAKXBq6rKjxb8iP9+77971NOLaY1QFYsFxeHp4QLrahMxQmtXmzV9Jk+eTCSZQc0VCqAUIaxF3ao7O+1YPKWUent3gTk1ASTT4CUSiUQi2U8wBVChBchIgx+gStDBZJA3Nr/Bvzb+i0AyUHAsHtY6wXvcKIrSwwIUbA8CsH7NemPflClTiCWzpgVIc4GlckFs3YKgHaXDUBQFv7vwHnVcmrvPLdPgJRKJRCLZP9BdYMU9LEADGwMUTpmBzh3xDvNAJkkqKqxMFneRsaZ8ARTqEGnwm9ZuMvZNmTKlwAJk1ArKBbH6Ci056bIxAJR4+hBAMg1eIpFIJJL9i76DoAfWBRZKh4zXHQlTAMXbt5BNCpeY4i4GIJLMUFlZaa6xQ4inreu0nmGKCIKOJjOgBUHrHeNj2WAPF5i9dDgeh9UQdd0ZUyGKKdZV9OwWvzexd9unJBKJRCLZh4gktxcDNPAWoPZ4u/G6besa47XF7Qcgp0IGK8WlxYS6QkQ7o2SzWRrWNwBQOqwUt9tNLJVF7RYEHU539XCB2cuGU+rpPf4H4JKjx3DUuAom1/SSPrYXIS1AEolEIpEMEKE+ssD0wODUAAmgSCpivM4XQFu3mN3aLa4S9GLUkWSGskrRFDXeFWfVqlWkEqLf1/DJw40xdHOBBZJdPVxgtrLh+PtwfwFYLQpTa4uxWHpmj+1NSAEkkUgkEskAsf0ssN0XQKqqFsYA5bnAtjWagc3uojJDiIUTGSqqRGf3bDLLO++8Y4wbPXU0ANFkpocFqCPegdVrNRqiAthLa/sVQPsKUgBJJBKJpF82BDbw7JpnyeYGv4rxvk5fdYCMIOjdrAR9z+urOfqOf9MY6jT25QdBNzY3GK9LSsuMWKRwIk1VdZVx7J///KfxetrB0wCIprKGBUjPAutMdKJYFKxen5izvBKL04O/HxfYvoIUQBKJRCLpl9uW3MYtH97C0palQ72UvZ7BtgA9t2wbjcEEK1vNhqf5LrCWVrMTfGlZubGOSDJDdY3ZvDTfAnTEYUcAmgVID4LOiCBo3brkn30i/rIKTvzm5WK7jxT4fQkpgCQSiUTSL+0x8YDtSnZtZ6SkTwFk330BFElmaAoKy0xrJGDsz7cAtbaYAqiyosIUQN1qASWTQuDYK+1MqJ0ACAGk1wGKZ0UMUGdCWJqKjziDv7+3nANOPA+g3yDofQWZBSaRSCSSfollYgCksqkhXsneTSabI665uHq0wrDufhr8xjazx1dnImi8NixA6TjtXQFjf3VVBarhAstQO6y2x5zuOjc1XiGMoimzDlAml2FjcCNdCSF61YyPWDpLV0y4+GQMkEQikUi+9ETT4sGr14aR9I6eAg+9WYD0GKBdtwCtbzMzv0JJ83VXskvEZ7V8QWfUnL+2uhqfHgSdzDBy2Mgec3rHeClzlZHJ5kikc5Bzc2D5wQB8/83vo6ICCmrWQzyVJRDXBdC+bwGSAkgikUgkfaKqKrG0tADtCLr7y2W3YLcWPl4HIgYoXwDFM2YWWE7NCfdk46d0xcz5R9ZWGUIsnEgzcnhPATRs8jCsFqsIgAZA4e459zDMO4zmaDMAdnyAlVgqSyAmfgdkDJBEIpFIvtSkc2kyqniwSwtQ//RVAwgGphJ0vgDKKvGCYx3xDmisJxTTGqNaFEbVVFDkNGOARtb2FEDjDxgPQCwlPmO7VWF4UTUPnPAAXruo5Oy0FBtjApoLrNQrBZBEIpFIvsTo7i+QAmh7GAHQzp7htYYLbDcsQOtaTQGkWBIFxzriHdBUTzAiBJbV46ayyFWQBVZeXo5iNQv6OKocjKoeBWgB0IBHa2A6sXQi98y5B7fNTY39QABiqSxdugVIusAkEolE8mUmXwBJF1j/RPrIAAPTApTK5FBVdafnzmRzbGoXrsjR5R4Uq7AADfMOA6A90khs2wrCAU0AFZdR7nPm1QHKYLFYsBeblpv8AOhIUpyX38Ns9vDZLLxgIUeXXgoIC5cu8r4MLjCZBSaRSCSSPtEzwEBagLZHONnTBZbJZPjDH/5AMpNDVcehKAqpbK7PRqJ9sa0rrp1nYdbYMv4RFp9FXXEdTdEm2ttW8FlbGjRt5agYQ7nPURAEDeD0O0l1CSHrqnNR7RG1gWLaca+zcF1OqxO31tW9OWhanUq+BAJIWoAkEolE0id6ADRIC9D26K0G0M0338zVV1/NT679IYkNnwC75gbT43/GVvoYWWFFUYTSqSupA6Cjax3vmfUQcVVNpMhpy6sDJMSZu8xtjHHXuan2CgEU6eYCy8erCaCGQMK4P5t135cP+/4dSCQSiWTQyHeB6f2hJL3TXQAtXryY22+/3TieatsA7FoqvC6AxlV6qSrWzldtDPeJRqbt4W0saTNda5UjJ6IoihGPpK+tepoQPLYSG+6xbmo8Zg0gKHSB6eiiqDEg3G5fhiKIIF1gEolEIumHfBeYtAD1j54F5nPaicfjfPvb3yaXyxM7EVGxeVcywda3CiE6rtJHaZH4TNSsi3JXOQAdiU5WtJrzDh83SawlLwgaYPrXpxOqDOEc5sTqshoWoKgWA+Rx9HTNeTS3WDD+5SmCCFIASSQSiaQf9qsssPXvgKLA2Lm7dHpMDyR22fjZz37G6tWrC47nIqKtxK64wNbpFqAqH0WekJgv7cSSE01KO7IJtjQJkWP1uqkdJiw7+d3gATxOD0XTigCwKTZDQOlZYL1bgApF0ZchAwykC0wikUgk/VAggHJfYgEUaoS/ngtPXQDp+PbH94LuRlJjQe6//34AnE4nFot41GbCIkhnZ11gqqoaKfDjKr3EsxHSgTTrfraES+bOI92VpimWIxoWAsxeVUtlkQswBU0kmSGXU3FZXca8lZ5KrBYhbqJGEHRPAeS2F+77MmSAgRRAEolEIumHeMYUA19qF9gXL4CahUwcYh3bH98LugUo3N5ouL7mz59vNCFNh3fNBdYZTRGMp4VxqsJHOBUm+GGQdGec1sYmOv/dSUtj2hhvrxxDhc8JFAZkR1MZXDZTAOkZYOKY5gJz9nSBdc8MK/2SuMCkAJJIJBJJn+w3LrDPnzNfx3et671uAUqFzfNHjhzJiBEjAEhHulCzmZ12ga3XmqAO97txO6yEUiESW82A9NDHIRLbzG172STGVmhVnG0W7Frxw3CiUADpNYAgzwXWSxaYdIFJJBKJZL9jv0iD79wIDZ+Y27sogGKaFSUe6jT2VVVVMXy4yNRCVclGO3dBAOnuLxHvE0lFCgRQsjlJ8COzO7yjciwTqsVYRVEK3GD5LrB8C1CkHxdY99T4L0sQtBRAEolEIumT/cIC9MXzhdu7agHSREQs2IcAArLhDpLpnXOBbTBqAAmrTle0i2Rj4WcR32C6Ku3lI5lQXWRs5wdCF7jAvKYA0sVbd3cX9LQAfVnS4KUAkkgkEkmf7Bdp8J9rAkjRHvS7aQEKB8wYourqasMFBpAJd+y0BahBq78zqswDwKb1m1CzvbfTsJUVM7K6vCCby2yHke7TBbYzFqASaQGSSCQSyZedfBfYl9IC1LoKWj4Hiw0mniL27bIAEiIi1GWWZO7NApTaaQEk3F21flHFefOqzX2OdVQNN9xfOvm1gNxWsxK07gJLpLNsbBeWvt5aXDhsFmwWs4mqtABJJBKJ5EvPl94Fpru/xp0AZWPF650QQIlMgps+uIl3t75rFBMMdBQKoHwLkBJu3mkXmF6BebgmgBrXNhrHxowbUzDWXjGWiXnuL4Bil1kNurcssMc/2ERbOEltiYvD68p6XYM7zw0m0+AlEolE8qUnmskTQJkvoQBa/2/xc+pZ4PaL1zshgBY1LOL5tc/zh/88SFwTNl2aAHI6nRQXFxdYgE6Ivc4hy3+xw/Mn0lnatManugWodX2rcfyCYyegmMYZ7OVTmFDVzQKkB0HnCSCrYqXCXUFXNMX/vrMOgB+dPAmXvfcmrd48N5i0AEkkEonkS09BFlguhar2Hnuyz6LX/CkbA+5SbV9n3+O70RxrBiCQNLOw2tuEQKmqqkJRlAIB1BzOUtW1bMfn1zqwu+wWo/5O10Yh0LwlRZxQG2faGNMi46gY18MCpLvAwnlZYHoRxN/9ex3hRIYpw4o5e8Zw+kIPhLYohbWF9mWkAJJIJBJJn+QLIBAi6EtFQhMurhJTAMUDO3x6S6wFgHBKtKdAzdLeLixAVVVVAHg8HkpLxdzbQjmc6WDPifpAd3/V+t0oikJbWxvJLmERmnLAFCZaG7nnOCe+ai/Fh8/AVj6C8d0sQGYWWNrI/BpXMo4tHTH+8tEmAP7n9MlY8+J8uqMXSCxx27H0M25f4ssh4yQSiUQyKOTHAIGIA3JanUO0mgFGVSGhCRdXCbi1+JedcIG1xoS1J5KOACqubNyoAl3tzopraFagrq4uGsIqrlSXsX97NHSL//nss8+MY9MPnMpI5XlGjrDw8//9J3/4OMiIUnePTK58F9jBlQfzvyf8LxNLJ/Kbf60jnVU5ZkIFx0yo7HcdHq0dxpfF/QVDbAF67733OPPMM6mtrUVRFF588cWC4zfffDOTJ0/G6/VSWlrKiSeeyOLFi7c773333cekSZNwu92MHDmS//qv/yKRSGz3PIlEIpGYpHPpHhaf/FT4TzZ30Rndhy1C6Ti5XJqwooCzOM8CtPMCKKdmQUlhT4WNY1WRL2DTQgAjEDqVhc5YxrQ8bYdGLQNMF0DL6k332aHjhgHQrhbz1+VCqHZ3f0FhELSiKBw74liclPFifQMA15wwYbvr0IOgvywp8DDEAigajTJ9+nQeeOCBXo9PnDiRBx54gOXLl/P+++9TV1fHySefTFtbW59zPvnkk/z0pz/lpptuYuXKlTzyyCM8/fTTXH/99YN1GxKJRPKlJN/9ZVPEQ1TPBPu8Ici5f/iAa/9ePxRLGxgSQW4sK+Xomlo2Jdp3SwABKNYEVt0VBlR5FGhfC1AQB9QQVne431i+CwwKBdBhtaIw4jp1uNHtvXsKPBSmwev8felWkpkcB9QWc+jo0u2uQy+Q+GWyAA2pC+y0007jtNNO6/P4vHnzCrbvvfdeHnnkET777DNOOOGEXs/58MMPOfroo41z6+rq+OY3v8mSJUsGbuESiUSyH6ALILvFjsfuIZgMGgJoTYuwdGzpiPV5/t5OLh7g9/e30LUxwUPZh7n9O9oX5UxcdIS3u/s9X1XVbgIojpLIE0BeBULCylIggEI5Dt5BkdXQTQAtX75cuxhM84tja3Pm3BOrelqAfE4tBkgTQNmcyl8+ErWEvj2rDmUHXHF6R/gvSwo87ENB0KlUij/+8Y+UlJQwffr0PsfNnj2bTz75xBA8GzZs4NVXX+WMM87YU0uVSCSSLwV6FWiv3YvTIuJ+dBeYnpodSqR7P3kfYM2K5XRtSIAKf/nNX1Advrxq0IHtnh9Oh4lnzBYUiiUBMdO1Ve1TICRq9uTXAtoWKrQAre1ay8JtC0WGXWArBBuMY6YFyEUmk2HtKmFR8tZ6cYc2ANDmGm2M780FVuQyK0ED/HtVK9u64vg9dr56cO127xNMC9CXpREq7ANB0P/4xz+44IILiMViDBs2jDfffJOKioo+x19wwQW0tbUxe/ZsVFUlk8lw+eWX89Of/rTPc5LJJMmkWd8iFAr1OVYikUj2F/QAaI/Ng0UR35d1C5ApgDK9n7wP0NZkCo2GdQ3U/+c/zHCXQqxduMGKh/V7fmu0tXCHNU42FjA2q7wWCG4DYHiV6WZqCOdQo+28vfktnlz5JEtblgLw5zn3M+P/Lga7C/5rBTnFUhAEvWHDBlJJIUBL60qhbRUA9pqpsE7EVHfPAIPCIGiAP3+4CYBvHDayz7o/3Tl+chX/XtXKiVOqdmj8vsBebwE67rjjqK+v54MPPuDUU0/l/PPPp7W1tc/xCxYs4NZbb+X3v/89y5Yt4/nnn+cf//gHv/zlL/s85/bbb6ekpMT4N3LkyMG4FYlEItmn0C1AHrvHyPwyLEARIYBSmRyJnaxsvLfQ2tpYsP3nP/95p+KA8t1fICxAmWjA2M53gY3wmxWYt4VU/tr4Lv+14L8M8QOw6T9/hmQQIi00da1nzt/nopb+C4CaEhdbtmwxxpYNL4WujeLYuIMAGFnqKajYrKNbgAKxNNf87VMWrm1HUeDCmaN7jO2LuZOqeP+64zlqfN8GiH2NvV4Aeb1exo8fz8yZM3nkkUew2Ww88sgjfY6/4YYbmD9/PpdeeikHHnggX/va17jtttu4/fbbjdTE7lx//fUEg0Hj39atWwfrdiQSiWSfwbAA2T04rML1kciIrCTdAgQYAbj7Go3dBNCTTz5J2l4CwBdtnxFK9e8N0GsA6SjWOKlIwNiu9mouMFVleLEZZ9MQzrE8KixDJ40+ibkj5gLQtuV9Y8zS5iUEkl3YfCuoLHLitFkLBFB5pQ/UHDh8HH/YQRw2upRLjylsi6Gj1wFKZXO8VC/u+YLDRzJSa666v7LXu8C6o6pqgbuqO7FYDIulUNdZrVZUVe2zgqnT6cTp/JLUtZBIJJIBQg+C9tq8xBGumO4xQCBiSyqL9r2/oU0dhRactrY2Xl+XpK7MwTdX/J65oRX87oTf9Xl+DwFkiRMPmVWkKzwKZBIQ66DMGsNphWRWWIDKUwEAzhhzBl90fMGCbQtoxRSSLdEmMac1ZqTA5wugygpNvJSNobzIxbOXH9XnOks9dr42Yzirm8PMmVTJCZOrOGTU9jO/vuwMqQCKRCKsW7fO2N64cSP19fWUlZVRXl7Orbfeyle/+lWGDRtGR0cHv//979m2bRvnnXeecc5FF13E8OHDuf322wE488wzuffee5kxYwZHHnkk69at44YbbuCrX/0qVuuO+TolEolEkieA7F5yqrCg6zFArXkCaF+NA2rt6OnmeuKDRs4/V1hMNoY29n9+dxeYNWEIoDK3gt2qWX2C21CirYwoVljfpdIQylGaiYECI4pG0BYRbrK2vGeUPrdijVFbItxn+QKottQJXZgNXPtBURR+842Dtztuf2NIBdDSpUs57rjjjO1rr70WgG9/+9s8+OCDrFq1iieeeIL29nbKy8s5/PDDWbhwIQcccIBxzpYtWwosPj//+c9RFIWf//znNDQ0UFlZyZlnnsmtt966525MIpFI9hFUVeXvS7dis1g499ARBcf0Rqgeu8cQPslskmQmSzBuZn+F99FMsLZAXjFCC5CDlz/ewqFn1gAQSAb6PV8XKTXeGpqjzWCNEwkIAVTtNV1ev/3iUQg1MLzYwvquLMEkdCZTWF1WRhSNYNuyR8V6nB7w1UCkmda4aKehWLJU+8Vc+QJopF8RAqi0d7eXZPsMqQCaO3duv431nn/++e3OsWDBgoJtm83GTTfdxE033bS7y5NIJJIvNaqqcs8bq/nfd9ajKHDc5CrKvGaac34WWMwqrEGpbIr2SGH15301BqgjaLb5KDmshOCSIKlMlvdXp6AWQskQ2VwWq6V374EugMb5x9EcbUZNR0klxPtUpQmgVquVhxvfAWCq3wKbRcB4bE2Mmhkj8Nq9VG1cBA5odfnAmYZIMy2JduM6fp94f3UBZHFZqFS0+ks7YAGS9M5eHwQtkUgkksHhvrfW8r/vrAdEa6q1LeGC4/kuMD0IOplNFsT/AITi+6YFqCtk1vApPqzYeL2tU4gUFZVwKtzjPB09Bmh8yXgAst0zwBw+1tnNwoGHHGgWVux8p5N43E88laWySwREt2dj5Owilqo1z/pU5E2hqqohgOzldoqiWqxRmbQA7SpSAEkkEsl+yJ8/3MT9b4uieqVaf6e1rZGCMb2mwedSPQTQvmoBCmj3YXFacFSZlq+2oJnW35cbLP3unXQmhAgZXyoEUC5miqVqrwI1B7HOYQqgmoN8DK8SDVfD9WEiDXae+3AF5bEuFFUlq+botDnJAO15GWhuZ0J0gdcSgOzldooiWksoaQHaZaQAkkgkkv2Qvy0R5T5+eOIEzjtM1D5b100A6S4wr91rCKBeLUD7aAxQOCLWbfVZsZeZQiXclSeAoi2w7i1I5zXUToRoW3gnINqEjCwS7182ktcI1WuB2oNZnyeANrodfG/++WJDhfCirbRtXYcdKMuJcJA2u412q5UcZniI3ZEoiP+xl9kpyabB6oSiHavkLOmJFEASiUSyH9IcEg/0U6fVGNWD17b27gLz2Dz9CqB90QKkqirRqFi31WfFWmRFsYlYn1SXKeiC9X+Fv54Lix80T4530qplbFU5/BQ7hPssEzH7olV5FRg2vcAFttZu59L/dyVaUW0Ci1eR6RDtLKoUMa7NYqXVVhhzlFbDhQKo3E5FJguldWCRj/FdRb5zEolEMohksr0XYB1KkpksnVERyFxd5GKCLoBaercA5RdCTGVTtEWEeHLZxSNkX4wBCoVC6LVxbV47iqJg94vaOukO834CLZ+JF115KfHxLlp0AWTzUOQQ/beyUTOmqNqnoFYfyIY8C9B6h53asVOoOlgIpnQ4yvJFb6OqKpU2ce1Wq8UQVzrBVLBAADnKHZRnszL+ZzeRAkgikUgGiaZgnEN++SY/f3H5UC+lgNaQsOA4bBb8HrthAWoNJwnGzId/QTPUXixAYyvEeXuyDpCqqtz6zxXc9dqq3Zqno7XZeO0qEvdhLxX3mIvnyMaFGywQ0oRHzCxwSLyLVptIoq5SbIYFKBsy37uqIgctnmIiFgs2VcWmqkQtFhqijfiOLzPG/eWZf+G/M8y/7lpDsjlJm0WlpZsFKJgsFECecgc+VZXxP7uJFEASiUQySHzeECKUyPD6Fy3bHzwAPL5oI1/53ULaI31Xywdo0dxf1cVOFEWhyGVnmFZsb12b6Qbr1QWWMQXQOE047ck6QAvWtPHwwo38fsH63Yo96mgyBUWxXwgSR7lprUlrbrAgWjxQfm+weMB0gWVVXFYXqmohEzKFYFVlBevCmwEYlc5QlxbzLWpYhGuqF1etWTk7lISNn3fQ9FQTrWRpsQpxpaoilT6QDBQIoOoyFwrIGkC7iRRAEolEMkjowqAtnCwoHDhYPLVkC583hFi0rr3fcS2aBaim2GzQOb4XN1h+EHRBGnxEtwB5gT1nAVJVld9pmWsA0WgYXr4aVr+203N1tGwzXldXiK7vtnLzkai0CxdhQI+xKRBAXYaVpjoVJ5VVUbOuAgFUXVXJ+oAoMTAunWZ8Snz+72x9B8WicNSVtRx39CEcM74In5aAFlkeYX1L2IgByqUqgW4WIAVqizULkbQA7RZSAEkkEskgEUmaD8QNbZF+Rg4MTQFh2eleqLA7zYYFyBRAE6pEHEt+KnxvafD5LrA9bQH6cEMHy7YEjG11/Xuw7An49y93eq72ZrMR6pha0RXdVmZmXpW1ifcooMfjdBNAhgUoFiKWykLOTSYsPm+XDXxl1awLiFZP41NpxmsWoCXNSwCY6Lfw/TNm8MK8Yq6frVmDVPj47a1GfFEuISpS5wsgW4mNypyWkSZjgHYLKYAkEolkkMjPjlrfFu1n5EBcK01YE1zds7S609KbAKoWYkZPhc+pOeIZEdTrsZlB0LF0kkRaRA8bFqA9FAT9v++sK9hO68UAA1t3eq6Gxgbj9QF1E7AqVuxlZnMET7t4D4O6BahHDJAmgCLtRJMZks05ko3inOFFCoq3knVdugBKGRagdE78HJHJMNraQbkS5rsz7Ni0+dYvaKZJc33lksIy1RHpoKVFuFHt5XbK02lQrOAftdP3LTGRAkgikUgGiUIBNLgWoOagWadmR2OAagosQIUCSI//gcIg6GhKnFvktFGldYCPJDP9tjUaCJZt6WLRug5sFsVo15GJa/FKySAkQv2c3ZNtjWYQ9Khhwyl3lRfUArJ0dHOBZeKQFoJQjeVZgKKdJGJh2l/bAlpW2UXTHeQ8FawPChfY+DwXmM6IdIZxWSGQSvx+zjjrKwCkwxnW1Iv3PqsJoLamNuM8e7ldZID5R4LVjmTXkQJIIpFIBolI0nzorW8dXAHUmCeAtmcB0sVSdUnPGKCGQJxIMmO4v6yKFafVaQigmFYQsLLISbFbPIBzKkRTZvHAweBPC0W9nK/NGM7IMpEynovniZ5QQ2+n9Uljq9nJfXj1cMrd5djzgqBjXUK8BuwOYW0BiAfEpRIdJDVhVJXNsnn5RwQ/Ei4qt9vG1Uc6aHI6iWfi2BQrI9MZRmQyOC2mhWlkJkNVUpzTYavmqh9cZRxrWSDcbSUWUWCxq9l0vznKtBR4GQC920gBJJFIJIPEnrQANQXMGjQ7nAVWZGYi+T0OKrXt9a2RgkaoiqLgtIljiYyYu6LIidNmwW4V7prBdoPplqkzp9ficwpBoibzBFBw5wRQW2eH8XpE1QgqPZVYvVYUu7if9oAQdEGLAu5SMTAu3GAdWguMomwOpwp/euj3QgUCx580HL9LYb1FmIPqPDXYASsw1jfCvGba/N1oUio5/rjj8QwXwi62JoayJckov4gBSnWYMV32cjsV2awMgB4ApACSSCSSQSKSJ4A2d8RID2JRxB21AKmqamaB5VmAwHSDrW2NmCnwdvFQ1i1Aiaw4t7JIpNAXu4TVZLCrQevzl7jteBxamngyr3J1cOfigDqDpniqqqyi0l0piiFqbrDmoPiskqjEPboAEpaYDq0/WHlOZVsox/P/fBsQXdqPPEGk1K/TApXH+8cb15ngn2i8HpHJ+93IVqAoCpNOn2Tsiy8NMbqsiCJ7UUFhRuECy8kA6AFACiCJRCIZJPJFQSansqUz1s/o3aM5aFqAOqIpcrneY3JCiQzxtLBu5AdBAwUtMfKLIAJ5laA1AeQTgqjIZdPmHVwLkP5eFrvteB3CAqQk86xqO+kCC0WEhUuxKhQXF1PhrgAwBFA4BYrWKiPoLhEnaYHQHWlx3XKbmweWpEhnxPtZdkIZWZd4H9angwCMq5wG40+E8ScxrmKqGOf048mLmVqbFKLpoLkHGfuCX4QZVeahxFlSKIDK7NIFNkBIASSRSCSDRDhZaBUZzDigpjwLUDan0hXrPRVed3+VuO247IUVh41A6JZCF1gikaB1q4iZyWhZTLq7rMiwAA2eAMrmVKOkQJHLhtcpRJclnW8B2lZwTl8CUCcS1Tqre20oikKlW9TcyQ+EdmqZYAGXeF8MC1BWiM1yZykfbTNjn8pPKiesCcS1cRFkPd4/Hi58Di58lgMrhcCZVGpaegA2pEsJJdKMHzseR40Qmh0bY5Q7svidftKdhRagimwWSkf3e3+S7SMFkEQikQwSuigYXS7cSDuaCp/JZVjduXqnMqsa82KAoO9aQL1lgOnodX3Wt5kCyK24mTFjBsfPOJ6u97rIqGJeXQAVuzULUHzwXGD5rsQil42VqT/jrH4RazpPUOYJoFv/uYIZv3yTrX1Y3AKxFFFNILqKhODobgECsAW1SswO8fkR74R0nHZFuMfKi2pZ2S5eW71e7H47YSVHGlgbFgHOk8smG/MdVn0YfzjxD/zqmNtAs6wBbFMraQ4mqHRX4jtAfAa5HLStWUaJq4RUm1ir4lDweBS8qgolZjyRZNeQAkgikUgGCd1qMX2EH9jxQOjn1z7P11/5Or/79Hc7NF5VVcMC5LSJP+t9BULrGWBVxc4ex8ZodX22dsUJp4QAim2LsWqV6LsVXBokR54AUlWKnINvAdLda06bhWQuytrEazjKPiKa6V0AvbGihWA8zb9XtXafCoC1jV2kUkK4eDUhWOHpKYBICddUwK69V/EuiAfo0FLg3UoNrVEhUu2V1QCELRbWutxkchmKHcUM9w03plMUhdnDZ1PlqQKP2Q9sm1pJYyBOlacK3zSfsX/F0veJb4yTahHvubPWSUVORXEUgcu/A++cpD+kAJJIJJJBQFVVw3Jx8Eg/sOMCaEXHCgD+uvKvBBKB7Y4PJTKiGjEwtVY05uwrELo/C1B1kQuX3UI2p9IUEtdNtJiutXRbGpQckKVabefty+uYs/m3xhoGC10AFbnsBe9HiDwLT6gRcjlyOdWoiL28IdjrfJ9vMMWSt0RYd3pzgeUC4hEZ1BqfEuuEeBftmgCKdZhp7U6tnUbYYmGlTwRNTymfgqIovd+UJoBiipcQXmEB8lTinewVKWPAogX/ZvkLZiPdsrllZg2gvuaV7DBSAEkkEskgkEjnyGhxKNN1AdQa2SG3Vntc9PKKZ+I8uerJ7Y5v0gKgSz12RpaKB3pfFqC+MsAALBaFunJhBWoMCfEQbTLddqn2FGpOBSXLiw/dzokPbeHqO54kl4oPahC0GQBtI6BlYAEEFVOckU1CrJ22SJKUlm33eS8CKBhL89Li1cZ2sV+0AKl0V1JkL8FaXGwcS3ZqMUD5/cDiXXRYxXag2bzn0opysVaLhRVu8RlMLZ/a9015xPigU6S6N2ouMKvbimecOH/t2rX8543/AGD1WvHP8gsBJN1fA4IUQBKJRDIIhLUiiIqS44DaYiyKsJJsr08XmAII4MmVTxrxOH2hWzxqStxUaNlZugVIVVVe3fAqm4KbALMPWFWeBeill17i2WefRVVVQwC1RUWAcTBPRKhplUwwQ6lPYcGij8Vao1lSrRsGNQ1en7vIZS8UQJZuoiu4jYa8WKi1rRHieQUaX/u8iRPufZePVmw29vnLRIaX3Wrn7lmPkw5faRyLtQsLU0DRRGs8oAkgYaJp3WS62EaUC+EUslhYYRPWmall/Qggt7AAxT3CRdYcjFPtEW60fDdYThNzpceVYnFaRAp8yci+55XsMFIASSQSySAQTmRQbEF8E37JvcvuNKoX74gbTBdAbpubcCrM31f/vd/xjZoFaJo3yOGJDwDV6Nhe31bPdQuv45YPbwF6usAef/xxzj77bM477zzeeOMNRleIdXbGhADqaujKvxSp9hRHjy9hzeYmY1+ms2FQCyHqcxe7bASTpiALWDVx49cyooLbaOgyBVA2p7KiSdT7+WRzJ//vr8tojySpspvWsdLycuP1qJJaFFstil28N+FWTQSq2nXinah5AmjbetOVNrlMnJNRFFZpcVL9WoC8wuWWKRH9vJqCCfwuPwe7v8rF3Vt8WaH8BLFOwwUm2W2kAJJIJJJBIJLIYHVvBmucf2/5N+MqzQyr/sipOToSokrxd6d9F4AnvniCRCbR5zl6YPP/C9zLaV/8iJmWlYYFqDnaXPAzXwC1tbXxox/9yJhnyZIljNEsQMGEsH60bzOtUSDigA4Z4WRLm1lI0NK1uV8LUDaX5YkvnuCL9i/6vfe+0AOsi7tZgPR+XFRNET9DDT2y4XQ32Mv1ovv7iVOq+P5hJcbxCi14GcDnFCnx1iIREN3V0oWqqgS0zDfiXYSizWS0+Jv1a0SvryIHHF3UgUUzFGVQ8dl9jCjqx1V16MVw4HlEpl0EmGUM/OmzuK0oTmmeh7Lk8BLspSI2qSKblRagAUIKIIlEIumP7K65doQFSIiE1lgro8tFuvWGtijvbn2Xn73/s4KGozrBZJBMTlxz/tT5DPMOoyPRwaKGRX1eqzGQAFRGxEW21kil1XC1hbR2EeF0mEw2Zwij6mInP/7xj+nsNLucb9y4kTotEyycipFL5gi0BgqulWpLUZJuJz+USe3a2m8W2JLmJdyz9B7uWHJHn2P6I5QwawDlW4DarFaw2KFsnNiR5wJzaHE6yxuCqKrKmytEN/ULDh9FqM1shFpZOcx47dFabNg0AZSMJ8nFcgSzmviMddIREed6UgqbNwlX2pRKCxfb38aXM91tU8qnYFH6ecRWTYZz/0TJqAMA0cpEVVU2d6XIKTZOHmcGWJefbFqpyqUAGjCkAJJIJJK+ePMmuLMOOtbv9KmRZBrFJlwoKiper7D8tIQSPFD/AC+vf5kPGj/ocZ7u/ipxluCxezi85nAA1gTW9HmtpmCcGjpxZkWskJ+IIXRCKU0ApcK0hZPkVLBaFD77+AP+/Oc/F8yzacN6pq26n5mWFcQzCVKtPeOVUm0ptmwsfD+SXQ1sszzF1nDv7Sh061N+bNPOYFiA3N0sQDYrOIvMoOA8F9jR44VoWL4tyIqmEI3BBC67hdkTKuhoazHmqM6zADmsFmwWBVtJlXlvLUkCegxWNkl7RFScdraYWVhTKoRw8mEWluw3/iePYVowejSVZWtnnE3tURI4uPV4F1//6qncctcteMZ6jPHl2Zx0gQ0QUgBJJBJJX2xYAKkwNCzb6VOF1SJA4KMAia0JLA5haWkJJdgcEpaDzkRnj/N0kaCnZeu9pDYENvR5raZggokWMx6lTAnTGU2SzamEU0KE5dQcm7tEPE+Fx86VV/ygxzwbv1iKb8n93GB/EpRUnwJo3arVBfuiXe3EnO/yzJpnel2f7tKLpPt2/8VT2T6rNxtB0M6eFiDV6TMFUKjBsACdOk1kV61tDfPKf0S80jETKnHZrXS0m8HLw6pMC5CiKHidNuyVZpXlxNYEgVRIWJqAjrDWcqPFXOvIyiJezs7CXjzO2DelfEqf95qPx2GjxC3mPu7XCwglMiSxM67MwjMP3c2PfvijgvEVqgK+mh2aW9I/tu0PKSQeF2Y6j0co0s2bN/PCCy8wdepUTj755AFfoEQikQwZWjFAdqAWT3ciiQyB9z6l7eVtWNwWgodsBsbQHG0h7hYP6a5EV4/zdAFU7hYWjHF+8VBdF1jX63VUVaUxEOd4xRRApUqEnAqd0ZRhAQLY1CXm9qXaWbJaiJjDDz+cdDpNfX09WztiZHJF1Fq7UCy1JFt6ptKn29JsXF0ogHLpLOmutCG2utMRFwIonAqjqqpRG+e9NW088v5G1rVGaAjEmVjt41/XHIvVUljjxqwDZKMj0EHjnxtBBeZVk3b4cJRoxQaD22gIi/f2kFGlVBY5aQsn+cuHmwA4aaqw9nR05HWCry6M0/E6rNgrTAGU3JYknAqTdZdijbbSEWuFIgepFtM1+lTVNfwlfSiznH8H7Vem3wDobowq87C8IUg2pzJteDHeeBHEQpBJ4LF5sFlshlu03FsNFmm7GAh2+l0866yzDLNpIBDgyCOP5Ne//jVnnXUWf/jDHwZ8gRKJRDJk6AIoGep/XC9EkhniG4WlIRfPsbpepI13JBuNMfnuHB1dLOitGXQBtCm0iXSuZ5xNIJYmmckxUTGbgVZZxbrbI8kCAbQtJOb2ZMx9c+bMYWyRmDerwraQSokaROlmAVJsIoYp3ZVm/eqeLsFUS4poKkYqk6MzWmg50i1dWTVLPBOHTIpMNsdPnv0P765pM6w2a1oiRpB2PvmNUJe/tpzOf3fS+U4nnR8Eabd7jJgYNdxMPCHOr/W7OXC4CHaOprIoCpwwWbi2OjpN4Tm8anj+pfA4bTgq64ztxLYEKiohrSN8u9YHLNJorjOnCbBih0iF99g8jC7e8V5dN545lcvmjOX5HxzFK1fOxu3R2mSk4yiKQolD3Iczl8Mr438GjJ0WQMuWLeOYY44B4Nlnn6W6uprNmzfz5z//md/+9rcDvkCJRCIZMgwLUO8VhfsjnEiT7jTr96xfvhKAtMV0v3Ql+7YAVbiEABrmHYbbJlorbA31jLHRU+Cn2kwBVNmHAGoOi+vZ89xINRWljMmagmZjACyoWC1JowUDgHOECNZFhbWre64j1ZwinIrxo2f+w8zb3uY/WwPGsXxXX3j53+G2Yax+81FaQklKPXb+ftksIy2/uRcBFMqrA7T1E/PakS8iNNmd4KkAqwMFlRqlC7/HjtdpY9pwM9vr0FGllGs1ktoD4v4tbgtl3jLy8TptWL1+/OVaIHSDVgzRLQom6inwnduEtcvpdJLzCXel3yUE0OSyyf0HQHfj8Loyrj9tCoeMKhXWMbtbHNAy//xOPyDif5SS7jnykl1lpwVQLBajqEj8Irzxxhucc845WCwWZs6cyebNm7dztkQikewjqKqI/wFI7LwFKJRIkO40XUhbvthMkcuGxWEGAvfW5qI9oQkgzQJkUSyMKxFWoPXBnpaXJi0DbFw3FxiIYoihPOtVe1Q8+NWYKbyGeVXqTJ3ApriwPiiWpGEBsriKcFSb8S16Bpgnr21WsiVJZyzCPz9rJJXN8cj7G41jegwQQHjbR5DLkF7+PABfmzGCI8aUUesXAqgl2IsFSKsD5HVYaF9uvn/RVVGaFKtwCRULK8wwOhjuFwLioDwBpLu/wuEwGxvEHPZSO26bu+BaXocQOKPGiSammVCGTDBD0CnKGHRYragZldZtQtSNnzABxSLOqfaKz+zAigN73MNOoa8pLcRtiVPcR4WsATSg7LQAGj9+PC+++CJbt27l9ddfN+J+WltbKc4rIS6RSCT7NJkEqKIK765YgBo7t5CL54zt9jXtVHptKHkCqD8LkB4DBP3HATUF4wyjE49q1r8pUYXo6W4B6tTuIxMxr9uaWc8YvxlzszEiXF25TJJ0pxAettJhTJk4vse1T5poZielmlNsCwbQ45j/9XmT0Y6jM55nAdLWUBMRFrHzDxcxOHprjqZeBJBuAdqy9jOyETPVPBvKsqxRC6zWAqFrlXZqNQF04AhTAJ2oCaD33nuPjF5deUpRj15dHocIja0dO8nYl2hIEHCIOdutVlKtKbLaHOMmiHE2i8KFU77FlQdfycXTLu5xDzuFVohRF0C6BahMtsEYUHZaAN144438+Mc/pq6ujiOOOIJZs2YBwho0Y8aMAV+gRCKRDAmpvPYTuyCAmpsK09ZzyRz2yMYCC1B+RpNOe6zQAgSmAFof6GkBag7lZYC5xAPfmw0BKm3hZEFgsi6G4gFzDYtzq6nzm4+CTUEFFUh2xEWgMUIAnTvnkB7XPu7gcbg0K1CyJUkgLt4zh9VCOqvyzNJtZHPZAqEXTov11CidzK3NMrlGfHGu1lxgvccACSH20aK3ehxbukq7F0MAdRoWoOpiFzd8ZSo/O32KUYjy7X+9YpxbM72a7ni1WkDVoycY+xJbEwRsWhaY1UKyybTs1Y2bCIDHYaXKW8Vl0y8r+Ox2Cd0ClNEEkNb5XbbBGFh2WgB9/etfZ8uWLSxdupTXX3/d2H/CCSfwm9/8ZkAXJ5FIJENGKi9lexeCoNtbeqatRxuWYbGb1pBes8ASOyeAgvE0E3T316ijALCQpZgYbeFEgQCKaK/DXaYAWu7qwl1u+rI2dqbJAMlW8yFfVTuas4/t+QV38gEHMaxCWExSbSlUNYnDZuG/TxVWkaeWbKYrESCnmpawUN56Lq4z34u+YoCSmSzJjDj/o4Xv9VjDypXaveguMMV0gQF8d/YYvnfsWGP7rVdfFC8UGH2Y6dbT8TrF/ZSPNC1eiW0JgjYbOaDTai0QQCPGjC84b0AwLEDivZiglUKYnEqBX8YADRS7lEtXU1PDjBkzaGxspKFBBN4dccQRTJ48eUAXJ5FIJEPGblqAgh0NPfa1bPgExZIBhNsllomRzJoP01Q2ZViF9DpAYNYC6i0TLJzIMFEXQMOmg13E8PiVCC2RICpmvZpYVoi6rnZRCFCxK+Cx8FaZj8oyv7hGe5SYRSnIADtp1nTq6kajdEtPn3TIbCoqtQd/FtKdIU6aWs23jhxNscvG1s44r68udNt1JMz3dZZri/Fad4E1d3OB6RlgaiZF/ZJPAHCVuXB7xHW3ruwgl8tBkaiNU610Mby0MK5Hp2XLBpZvFPfurnNTVlbeY4weA1Q0bIzhHktuS9JMlpDFQkYpfG+qhotsL4/D2mOuXcauuRY1C9C8Uafy0rZGzg9HDKEn2X12WgDlcjl+8YtfUFJSwujRoxk1ahR+v59f/vKX4pdQIpFIvgwk8yxAuxAEHeto6bGveY1wi7mpxqqIB2Z+ILSeLWWz2Ch2CtdQOp3GmXTisXl6zQQLxdOmC6xqMnjEQ72MMG2xQMHYHOKB2tYq1mbzi95XLxR5GVMnHuQN7WGCWaUgA+wbJxyO3W6npMqMqXFaYdSM4ymqchj7Um0Rzj1kOG6HlXMPFS6pp5auKFhDW8J8X50t9cbrvlxgeiNUpXUNyYQQi7WH1DJlrFhLMpLm888/h+JaMU+eC6w7/378V8Zr7wFefHZfjzF6DFBasTNunLAQJRoSvB3aQLuWAZbNe29Ka0cVnDcg2AotQJbQNsamM1i8VaZ1SLLb7LQA+tnPfsYDDzzAHXfcwaeffsqyZcu47bbb+N3vfscNN9wwGGuUSCSSPU++C2wXLECJTjPzyVMivtFHGgJko1ks2UojsDW/FpARAO0qx6JYiMViHHnkkVRVVWGtFw/f7oHQ4Xia8XoNoMopoNWr8SthOroJIKxxnEqWgFYR2ul34svl2Ga3UzxcuNxUVWVjSC2wchw0VVj3y4ebFpMJFTYs5WOw1+QJoJYox4wX83zrSCGoVreZXeMBUpa83mqNy4yUsnwXmJrXaEy3AGW2fmbsG3v4WGaOKzK233nnHdIeYQGqUbqMIOgCshne+ucLxqZvqo8iR1GPYT7NlRVLZTnwQJHNpaZUNjW08qbXrd2neG8qKytRNWtNkWsgXWB6FpjWKy6oCVyZATag7LQAeuKJJ/jTn/7E5ZdfzkEHHcT06dP5wQ9+wMMPP8zjjz8+CEuUSCSSISDfBaYV79tRcjmVVFfA2D7ypCON17GNMeJtXpRGBVVVCwKEjRpAWvzP3Xffzaeffkoul6P9I3GsexyQO96ET0mQs9ihfBy4RV2bMsJGwLGOYolTjHlfvlI3p0XEdrjIFHxru3IktgjrQ3FxMRUVYj2VI0y33KRhRWC1o9bmZYK1JskpQrCMr/Jx69emMXFYYXuLjDXPUxDvgq5NgOkCS6RzhOKmSNIFUHjDp8a+qUdO5eQ60xLy9r/fpgVx35UEcGQirFq1quC66qb3eWu1ELJ2pw3PeE+vAkhviBpJZpg2bZqxP7ktyd+Ki8glcyQCwio1YcIEY32+gYwB0i1AWh0gAprVTwZADyg7LYA6Ozt7jfWZPHlyQVdhyU6w+QN45RqIB4Z6JRKJRCdfAMFOBUJHUxnSXeL80opSjj72aONYy99bWP7zx1hw7QI63ugocIHlC6AtW7Zw5513Gsf0lPTutYAq46LeTrJ4DFjthgus3BIFS7xgrGJNFFSBLvE7OScs1tnoMCtU/2VxgkxIPNjnzp1rxMJUjzSzpiaNElWVk3kCKNmcJJ42r/mtI0dz6nQhMnSXX1gPI6rQ0swbRZ81l92KXysslB8IHUqkySUihLaK9hvOEU5G1I7g6EoFq0/MuXDhQjbFXWRUC4l0jkMOOZQpU6bw4IMPGvOsX/EftgSFGBtx4EgsDgulzlK643XoFqCMYQECEQjdqaXA60yYMIFI0izSOGDYC+sAEdIsfDIFfkDZaQE0ffp0HnjggR77H3jgAaZPnz4gi9rveOc2+ORxWPP6dodKJJI9RL4LDHbKDdYZjpEJiniVEaNGcPwxx5vTbEmgZkQtm/Bn4T4tQNdddx3xuCkmQu1CuHS3AI1Mi2yzrC4oPMISMsIVR9EEkP6gVyxx7HlCrqzExgGpFApgKTcfB++tMgOtL7vsMuP1+GlmZtTMAyeQzWUJFFuxuMW5qZaUaHWRh14EcbhPBO+GLRZQrFCnicK8RrO9ZYKFE2mSTWuNmkzeSV78Tj8eYpRPFEIh0BXgzXfeoxU/z6xIs2GTKMr7+JOPG/O8tXCx8br8ICESa321dEfP5oomswUCSG0U4inZbAatjx8/3kjRHxQXmG4BimjVw3090/Ylu85Of2J33XUXZ5xxBm+99RazZs1CURQ++OADtm7dyquvvjoYa/zy06lVTN2FVFuJRDJI7IYAWrNxk1FDp250HbOmzcJaZCUbzhaMS7ene7UABVYG+Nvf/lYwtquti2GZYUYmmN1iJ5tKcB5vAKCOFDXZdAtQrSMGWtDziKIRdCW7UKxxrHn3UelTUACvxUmiomfjU2+lh1NOOcXYPuzYw6i9uJbJiRRfOeFo2hIdZC0KjnI7iW1JMoEM0XSh5Uwvgji6eDRbwluEAHIWwfBDYemj0Gi6tqqLXaxqDhdUgw4nMqSa1xrb7rFuSpwlOLJRJh7io3WZ+JxeefovfO2YUh6rN4PE6z+tJ5fLYbFYeOfjz439zklOEiQY5jU7wRv3rGVzRZMZxo8fj9PpJJlMojaJDzQ/OHzChAl8YbTpGIwgaE1MarWh8O5mfSFJATttARozZgxr1qzha1/7GoFAgM7OTs455xxWr17N6NE73vxNopFJmubN7iZ3iUQydHT//7gTAmj5GvNhO37MeFw2FxO+NQF7pZ3SOeWML9MsJu0pOmJmsLQugF5/0LQG+3wiU0lVVdSQSiaXMRqmppY8xgilnWa1FPvh3xYnaDFAVdYYilU8QHXri2JNko2Y1xvmFKLH6/BiL+/pwpl88hisVjO922lzUja3jEnHlqD4R9ASFdlknhLx8FczKi3thdlvemab3hw0bLGAq1gIIIDGesgJYahbgIxq0JkUvpalpPKKSrrHuPHbfdhyKWZMc2MtEuv77P03WLDNynubTZGZjCZZtWoVqqry/nLxRdPndhCrEsHFw3w9BZAnLwjaZrNx8MEHA9C+pZ1MKFPgAhs/fjyRwRBA3V1g0Tbx01vZ+3jJLrFLAshms3Hrrbfy3HPP8fzzz/OrX/0Kp9PJmDFjdmqu9957jzPPPJPa2loUReHFF18sOH7zzTczefJkvF4vpaWlnHjiiSxevLj3yfIIBAJcccUVDBs2DJfLxZQpU/Ze61RwG8ZXRT3iXyKRDD27IYBWbzADcOtG1wFw+FcPZ9Ldk5h20WSmVWl/erOwYNlK7viXeEi3x9vJZXKs+4/I9BozZgxTjjnDmMsTE/E27fF2SEVxfPBrAH6fOweXR0vp1lxgZUrYcIHlu3oSIbMZ63B3GlDwOUqwOCxUVOdZGKxw4Al1BffltIpmoilFgeLhtMSE2PEXmY+SrY2Fafq6C6yuWMwlLEAlUDFR1CxKR6FdCJzqkm4usKWPcMHn38PR/B8AbG4bzhonJRaReTZcyeI/2i/eykyaXz1XmHIP8Op7r7J582YaO4Sl6LADRpNW0igoVHmqeoz3aUHQ0ZQQNnrzb4Di1XGSLYUusPxGrQNG9yDoqCZaPT3rFkl2nZ0WQPnpiflEIhFcrp2rTxCNRvuMKQKYOHEiDzzwAMuXL+f999+nrq6Ok08+mba2tj7nTKVSnHTSSWzatIlnn32W1atX8/DDDzN8+F5aPKrLbBgoLUASyV5ENxdYZ2c7mzt27P/o5i1mnI5uGdetMCNzFsbmtZ5Ys3YzD767nk0dMdrj7SQbk2TS4qHqHD4Zf3yTMdYZEQKkLdYGix/CGmtjc66KNxwnmhfXBFCRGkKxigdomasMRRWiIRIwBVCdD/CPxOsUgcrVI8wYk+JDiikvMVPcAZxWsZ1UFCgZYQig8jwB1NjYWHCOYQEqEe9DR2eav/0nQmcgKOoWAXSI96umey2gls9pCucIhIWQ847xolgU/AiR4s8olM0xu7l3hHp+iXz13VdZtGiRsT31ILGOSk8ldktP0aLX84klhSXp2GOPNY4d1DoCd4uI+amsrKSkpMSIARrQLDC9EGI6LsoESAvQoLDDn9i1114LgKIo3HjjjXg8ZuR/Nptl8eLFhqlwRznttNM47bTT+jw+b968gu17772XRx55hM8++4wTTjih13MeffRROjs7+eCDD7DbxS/3Xu2a01JAAWkBkkj2JpKFAujP73zG4++MYtF1x2+37UFTg2kFGTVKFMqbUjaFf2z4BzOScdylpmDIdHXhcMMnmzrpiHeQ2GrGvzTbavheyTLe1LYtIXFee3grLLoPgN9kvo672Px7rFsJ3JkgiksIh2JHMUrOjWpNEerUHqYKjHYDFZPw2kT16OrR1XzxyRcAlB1XhiubV7MHcGgumaRuAdokBFCNz6wQ3dzcbLyOpWPEM3FUVWXtorVsuncTkeURvqnCsSu/xruXauJFE5s1JULgGdWgI20sbTRdWo46IcBKtEravqwN5zAnNQfW0LzcvK5ngofYWvH39LNPP2NRqSmARh84GmjuNf4HzCywVDZHKpPj6KPNDL73l3fQkZcCD2aa/sC6wPIsQMkQ6NW/ZQzQgLLDn9inn4pANVVVWb58OQ6H+c3A4XAwffp0fvzjHw/8CjVSqRR//OMfKSkp6Tfb7OWXX2bWrFlcccUVvPTSS1RWVjJv3jyuu+66Al92PslkkmTSNGuGQnswGDlfAKWkAJJI9hp0i6zNBZkESipEIJNmVXOYQ0f3TJ82UFVim78wNnUB9M0p3+TAsilMfvgMFpSagiHdEcJRC4u3NJLIJoz6OwBF1aM4yGkKsWxAiIH2ls8gESTmHcHLiaOYlv/w1WKAHMkASrH4m1LkKCKXdYM1SLBDxBnZSmxUqDmomIjPIa558kUnE2uM4a7sonWKDVe2sPaRMyDiFVM2Jzg8NEeF6BiZJ4Bams0YIN39FXo7xEV/vahgrvfee48t3ziHUQBJUa+oRzXoaBsf5wkgl1b7x6+VEvKlxX1XHldVIIDKTy7HGrUSbgzTub6TtxBNVC0KlEytgib6FEB6HSAQqfBlZWUceOCBLF++vKC20PjxIiNuUNLgbXkxQFEtANrhM2ODJAPCDgugd955B4BLLrmE+++/n+Li4kFbVD7/+Mc/uOCCC4jFYgwbNow333zTKMrVGxs2bODf//433/rWt3j11VdZu3YtV1xxBZlMhhtvvLHXc26//XZuueWWwbqF/imwAEkXmESy16ALoOJa6NxAMUJMrGoO9S+AGj8l0CEe6DanjbIyIUjsFjszVDvkkozNswCl2iN4gWXbtkAJpLeZKeg3fGUSIz8yp462CWGgB0tH3MPJYSm0PmguMCWXwqIFQWczbjIZJ1abSqBDpN3bSmyUZnNQMQFvUqTSl48t58MPP+Sef1zMEx2f4EkXtqVwBkTvrqRNfAHWXWBjveaYthYzREF3f4WXmgUZFbuCmhahFC/Xt3FlLYYA0l1gHdEUyUwWZzcB5B7jxmV14dKKUhannUAODlSxuIrIJcJ4vRaKDi6idG0pnzV+hppRWbtaZJFNr7YQcAjB0pcAslstOGwWUpkc0VQWv0fEAS1fvrxgnGkBGow0+LwsMF0AyfifAWenY4Aee+yxPSZ+AI477jjq6+v54IMPOPXUUzn//PNpbW3tc3wul6Oqqoo//vGPHHrooVxwwQX87Gc/4w9/+EOf51x//fUEg0Hj39atW/scO+BIC5BEsneixwBpzSeLFSGIVjeH+zoDAHXlP+jqEg/tslKnUUQQgIalAHhL/Oh70+1JUFJsDjSjqirxzUK0WL2lnDNBYXix+We6s0Vcu11rn5GwaG0YnHnWB7vHCKK12cRcTV0KZN1kw1lyWWE+sZXY8OdyUDYWr9ZANaLdc0ITOK5uf5OcHUIopSzCSqILoAl5Aqijxcwy64h3kEvnCK0XVnV3pYOxPzc7s7+8VPtbqwmgMq8Dh1Xcb2swgRpp5eMGsd5Sj4K9wk6Js8QoGWLPuFFzNlS7SuW5P2DEQUfx1UuqsNgtTD5wAt05eqSV5rQ4t8Zb0+O4Tn4qPBTGAemMHz8eVVUHxwWmW4AycRn/M4jsUjf4PYnX62X8+PHMnDmTRx55BJvNxiOPPNLn+GHDhjFx4sQCd9eUKVNobm4mleq9lL3T6aS4uLjg3x5BVaFrs7ktY4Ak3Ujn0mRyme0PlAw8ugWoSFgKirWaOqua+hdAbUtfJKtZOEaWZM1UZoBtopv5YsvB1BYJCZRqS1FblkVxNpHpypCOCIuCf+QEyuOb8TkUikVoDIFWkYnWnhIP8ZgiBFCx20Yul+PSSy9l3PjxvNsoBJBqERacza051JyLdMC0LrlKbLhVFUpGGAJIr+ETt4hHgytZaJV2dIjstKQCOTVnCKADXGZyTGe72RGgM9FJYnOCXFqImIqJRbhGuRhWLf7GLli+lWBCNcSmoihUa3FAbZ0dbGqP0xEXc08Y5UJRFPyK1RBMMTzk0sLi5Z1Uw9k/fQD3gaJJ6qF5RRt1jh5lo0mzSvVlAQIzEFoXQPmZYDoTJkwgmcmRyYn1DU4l6ISsATSI7PUCqDuqqhbE63Tn6KOPZt26dQWd6desWcOwYcMK4pb2CuJdhcUPZRaYJA9VVfnWP7/FV174Csls37/zkkHCsACJFHLdArSyOdRnNizt69iywaxZU1cMrHnNPK5ZgN7JHmy4wbLhLGNLU1jdW4hvMcXSlAMOhHbR/mG4lmUV7QigqiodGfFlKYLeiNPOwoULeeSRR9iwYQPz/9ZMVwZyirBErW7KoGbdZIKmmC4u1r4kFg0zuqLrAiih6AIobDQrJRXDqVmsU2qOzkQnmVwGi2JhlC2H0ykEXbDNLBfQEe8gts78Yjd8QhGKonDkUcI6k85keW1dpiDgXHeDBdoaCtxfo6eIWCp/JmMIoChu1JRwDVnsHQz3u2mxi7/zsyaOwmIpfMQdPcZDkybaeqsBpJPfEBWgtraWsWPHFowRKfBap3oFPPbeY0x3CV0AZZMQ0S1AUgANNEMqgCKRCPX19dTX1wOwceNG6uvr2bJlC9FolP/5n//ho48+YvPmzSxbtoxLL72Ubdu2cd555xlzXHTRRVx//fXG9uWXX05HRwfXXHMNa9as4Z///Ce33XYbV1xxxZ6+ve2TnwIP0gIkKSCRTbCycyUNkQbqW+uHejn7H9oXkqxmASrSLEDhRIbGYKL3c1b9g00B88vXuBLgs2fERjxg1Lv53DGd0aWmy6Qo24zVvbUgAPr4ow+HNjF+RLEQF7l0ilwsR1s2jgqEVfGgLHLZePLJJ41zt3aluPNDYfEOfhzimR+eQ8Of3iLdYVqA/MUWETDt8JgusLQQInHEPbizGfFFDaB1JU6tYGEim+TNzSI3rcJVgd1VQokmqPSWHSAsQPkCqE4LFjro6InGvpdWpwu+COqB0JGOJj5uMAVQ7UFCNJUkwoY4TVg85HQB5GintsRJi/ZUq7NZmDp1qnF+md9KZU2FEZfUrwUoryGqTr4bzEyBNxuhWiwKA4ZeBwggqLkJPVIADTRDKoCWLl3KjBkzmDFjBiBS7WfMmMGNN96I1Wpl1apVnHvuuUycOJGvfOUrtLW1sXDhQg444ABjji1bttDU1GRsjxw5kjfeeIOPP/6Ygw46iKuvvpprrrmGn/70p3v8/raL7v7Saz7IGCBJHvktBT5u/ngIV7IfoppumVbEA7ZEiTGpWtTLWdXUR6boqn+wNGBuTitWYO0bQkRoTT8prcNRUsUwv/mQi3Wtw+LoLBBAXzt+JnSI4N38OKB0V5oUOcIWhUBOCCCXkuPvf/97wVJ+uzBB5zudbH1wK5lIF9EVG2l7xQxQLvdZoETEN+kCKKZ9CUvkhHhyqypEtKyu5s9waNYgFZXbFt8GwBj/GPCUU6pZqZLRJLGYmKcj3mGkoxcXFzOqRriJRk0fRUmJcFW9ujZDOma+n7oFKBloLrAAVR0iagaVRDuNwOCk1UsuLT4fxdFJaXGGhFZYtioR5vDDDzfOrxjvosUtXG9um5tiR9+hDvkNUXXy3WB6ALReBbp4IN1fUJjtpQsgGQM04Axg1NbOM3fu3L5NycDzzz+/3TkWLFjQY9+sWbP46KOPeg7e29ADoCsniz+OMgtMkkc4Zcaa7CsC6JYPbyGainLnsXcWBv/ua2QSRvPNjckShgEllhhThhWxuiXMquYwJ0zp1pgy1ATbPmaJ2duUsXVjILcNnv0ONGvtMYYfxpmltSQXFgPCXbR64zIYBoktwkJjtTuZVus1KgEPLzLfSzVggRHQbrUSyAqxsPaT9wgGxVwul4tEIkE8DfEnCosS6h3lAWqKLEaAt+4C0y1ACe26rpwmgKqmQPNy3DkVt2IlrmapcFdw9viz+daUb8GWCyjLE2nNzc2MHTuWzZs3G263mTNnUqyK9cRsCqeffjr/93//RzAJC7/Yht4utkarBh1u28pH24QAspdUolb5oQv8mRRsel/cj81nWoDsHTgcWjB1Nosz0sasWbN47LHHxPs2qYhGlxeIM8w7rN/fT69eDTppCrDjjjsOi8VCLpczSrHkW4AGFIsVLHZR/yegCyBpARpo9rkYoC8VugCq1sy00gIkySPfAvRZ+2c9umzvbYRSIZ5d8yz/2vQv2uJ9V2vfHWLpGFf9+ypeWPvCoMxvkBeTsiIirCMeNcakaiEUVvWWCbZatNtZ22X+Wa2Zpbnr1/8boq3CjXHYJVx1wgRmTR1pjFu/YT3ZRJZUm/iMR42fhK1rg3F8eF6l5XS7eDi3W610agJo8ZsvGccfeeQR/L7CqvxWX88U6lqfYgigHkHQ2u+aS82Zncibl2MH/jTxYn5/wu958+tvcs0h11DhrgBPOZV5a9St8hvqzXs4+uijKUoLy1KYDGeddZZx7IWlplDze1Wcw57lyc9fQ9cfFVOPIpgUAq8kmzNio7K2fBdYBzmrcG9VZ7IQbuTCCy/ka+d+jZLDSrDPKaPeIdbYn/sLTAtQNM8FNmbMGB555BEuvfRS/ud//kfcx2CkwOvonoHgNm1RUgANNFIADSW6AKrSBFAuDdl0n8Mle5bHPn+Me5feO2TX17+NA2RyGf7T9p8hW8uO0BgxH2L51quBpL61ngVbF/Dw8ocHZX4Dzf21OeLk5X9/SCqrYkHlgArxJ7NXF9ia11FVlZZmEbBuLS7BMfO7UHcMTP4KXPAU/GgV1M0GYOzIvP5crQmS25JGW8AjDz3EeMjjH83wYtNaEWsXlql2q5XOtJNsIsKSd0Whv+rqas4//3xuvvQrxviig2upvfT32EoKaxeN9ipGgLfPUWgB0gWQ4QLLZaFFFHc8aNxpHDPiGGyWwuKLVb6eAqjpCzM84ahZsyjSMuIiuTSnnnoqDodwHT3zaQfZrFA7zeq7OPxLWbrcFE9lM63G778/L8ElYy9CTftRVQuKJcP6kChUWJ3JQKgJt9vN888+zynXHozFYeENVas43U8KPJgxQNFUtmD/xRdfzMMPP8yIESMACCcHIQVex6gGrX3xkS6wAUcKoKGkuwACmQm2l5DMJvnNJ7/hsS8eoynStP0TBoFIt15Ue7sbrCHcYLwOpQanmno0I/5/NEWbyOay2xm9G6SixNMqRz7UySv3/oTb3hcPusl+oVA2tEdJpLtdP9TI6qRCOirG2stG4fFXwcX/gAuehMlngNWMFampHYFde26m29IFGWCzZx4GbZoAGn5ooQWoU6sGbbXSlnYSW72ItGZZueCCC7DZbFx10TnMP7uYmm/UMPLiY7A4vZSf/i1jDovHQqU1ByXiQa63wjCywPJdYKv+KYK301FRn6a8Z3o5nrKCdhhNTU1kchm6Vgl/oMVi4YgZB1KktdYIZ5OUlJRwxknHAdASzhrFdt9rfI1cMkfkMyGirUVWmLaaxqgQ2LUZ0yqjOooAK2paiDv9/0h1Ngth8//tgTYRu7Uup3WB354FSM8Cy7MA9YbhAhvoGCAoDIQGGQQ9CEgBNFRk06Zps3ISaGmnMhNs76Ap0oSqfR3Xa53safItQLAPCKBIngBKDo4A0i0TmVymTzfbM2ue4a8r/rp7F0pFWd2RoyUixMYbG8TPSnscv8dONqeyrrXw8yEZ4l9BMxXaXjaKEnffD0bFW8Gwcq3vVFuK4Htm+vj06dOhXQRAM+LwAgtQpkuInXarlZaUg+gX7xjHLrzwQgAsvkpmzSmm4rQKfG4/AO5xh1M6VwiF0qNLRRVo3QXmEAIonomTzWVJZIUActs8sOVDeOZicYHqqSI+pTu+auFS02hqamJr21YS28Q8Bx54IMVOKNKKMIa0NP5vnv9145z/e+op1nStYWXnSmKfx8ilxP+/YVNHUGs9jR9M/wG3HfVLDsvkxUM5heUqlxK1gJa3i2rNNZkshJtBsxYdhLNguf2lwIv3Q3OBpfoX2YPrAuvW9kK6wAYcKYCGiuA2ULNC5ftqQPPByzigvYN8d86QCSDNAjStfBog/rjH9mKBrH9Dh8GzAOXff77g0kln09z60a3c+fGdRruIXSIVYWvQdLWs06wuSiLE5BphTehREToZYlHAfDgXVY/GZu3nT6ynjJFaLSA1oxLbJO6trq6Oww87zHSBjTiMKq+CTZsqo6Xgt1utNLSHSW4VwdUTJ07k0EMP1eYuJazVwClximwnNeum9tu1TH5gMjXzaijLZk0XmBYEDUJ4Gxag0+8CFGjTemDVHNj7vfiqCwK1m5ubefeDdw2X3lFHHQWJEEVa0osu7r9y1tfwaeXZnnv+eV5YKWK7nCtMwTK27kQO8lzI5QdfzpkTzkYZfphxTHGIz0KPA0prTUOrsznx91WronxQt8iC7VmAPN0qQfdFZDCqQOvkW4CcxWBz9j1WsktIATRU6O4v/2iwWMChBbzJTLC9gvyHeWus79Yrg4n+kJhUNolh3mFkchnq2+qHZC07QoEFaJAEUH4geG8CKJQKkVWFWNkW3tbvXKqqcvlfP2Hewx8R7/5NPxVha8jMUG2LZAknVUiGmFwjBMWq5lD+ZJAI8XmHKZqqRo7p/2Y85YwpLfwTXFJSwj/+8Q+cmbBWf0eBmgOxWO0M0ywsmaD4vWi3WWhYscw498ILLzQzmzzlhDQBVOYS6ebkRCVlm88mKirnTAuQw+rAbhHWqmAyaLyH7klnwAk3mAvsUwBVMtJTaAFa8M4CY3v27NmQDBkWID1GzF1cztcma9cNBvnLC38hl86xdbHIfPK7wDpqRqElbdRM46VFS2vXU+GNZdqFMCIs/h+PTsYozpqf8fZigMxCiDvmAisa6CwwMIOgQVp/BgkpgIYKXQCVjhY/9V/29N6d6bO/kG8BGioBpMdj+Ow+Dq8R9UyWNi8dkrXsCHtCAMUy/VuA8oOvezueT2s4yb8+b+aD9R3c//bawoOpaIEFCGBtZw4SQaYMEw/XlfktMdJxouRobDMfssNHj+v/ZjxlTCgxRYPdYeell14Sdc6MAOhRwhXiLDJqAWWjMXLpHO1WKx1fLDLOnzdvXt7c5YYFaJhb/G0pcTsLLD1lDr8ZaIuZCZZvOXPZXDD7WjjsO8JSPeGU3u/FV02tGxSruJ+mpiYWvWOu7YQTToBEkCLNJWXEtykK8w4pMcZtXbCV1JIUsYj4nM+aZOegyZM477AR5rVGzTJeWnUBlCoUQNXuKvFCCzNQ4gEOTArXoYJCtadbCYNueJx6Fth2XGBJ3QU2CDFAeZ+NjP8ZHKQAGirCzeKn9g0Mh+4C2zstQCs7VnLeK+fxfsP7Q72UPUK+BWioXGD6w9zr8HJYtTD7f9LyyZCsZXuoqlogGgctBijvC0L+9XTyBVBvx/PJj+F5eOEGPm8wY3BIRQssQABrOnKQCDFRK4a4piVPACVD/MfpJKllgCk2J8OHj6Bf3GWcO8GKYlVQbAoPPPwAc+bMEce0itFUThI/nUUFLqZMIMPmxgzpdlFMddasWYwblye4HD5CDhFDMlarNVTuc1CkuYysqkpRUaEbqLsAsik2YRVSFPjKb0QGm38kveKrxqOq2EqEcFi3bh3rPhd9wyrHV1JdXQ3JED5dAKUj5LQ6SydMraRCsx6FloZY9/A6Y9pzpzq47+LjDasbACMPB6sTbC6sHhHTpHYTQFVlWiNUrXcZ8S4O0gRQhbsCh7X/tki6RScY7z8rd1AaoerY8mKAZAbYoCAF0FChl5f3iOA90wK0d8Z4vLXlLVZ1ruJfG/811EvZI+Q/PNtig1PTZnvoFqAiexF1JXUAuxfXMoiEUqGCukWDlQY/kBagfAGUzan89PnPyGguGuECK7QACQEUZIImgFrDSYIx7QGZCLHE5iDVKh6ytrLhlBd3y+LpjqecA8os/PHGWn735u/4/kXfN4+tEjWFjAxRZ3FhJlggzZbFpsj81rfMDC8AFIWQUwiaA9VmDhpRwrwjRhkCqCSXw1JSKGZ065D+O+bqnoXUX2FLdxluLNj8muUkav4uTDxSa3uRCFGkiR4V1XDx2j1FfH1qTwFxQKWFkw+qESEC+bhKYP7zMO/vuDTrlt4QFcDv9OOqFFWjjUDyeBdHJERc03h/L1ls3dDbcTQF+7fID1ohRCi0AHl71nGS7D5SAA0ViYD46fKLn3oM0F4aBK0XIRss18bext7gAgunNQuQ3Ytb+za4txZD3BYpjLfZEzFAvVl4QmnzutuLAVrXGkGxd3DawQ6KXTY+bwjx2KJN4mAvLrA1HTlIBvE5bdRq1YrXtYnPSE2EeC1mQ2uhhb1sOOXe7TRf9oiH2qW5MFccdbG5v+ETWPcmKFY49Ntin7OoIBMs+F4XgcUBABSLlfPPP7/H9GGreChXtK/i5Stnc+kxYw0BVJrNmtZnje4WILetWxZSf1gs2HxVOEp6CoHps0XVZJIhnCo4EfdhuMEcPuYd5cbiFo+j448/nid/fT1Lv+/FWdJHrE7dbBg7x+ja7rA4DbdWtacaKjQLUPsa0VE9E+ewRJKH5vyGW2ffut3bGV4q7r0rlu43DsjMAhsMF5i0AA02UgANFboFyK0VJ9OzwPbSIOhAMgAMnmtjbyKdTReIntZYa78tWwaLqOYOLXIU7dUCaFVziD8v+bRgX28CSFVVHvv8MS578zIC+heAnSQ/C6w52kwmV/hwao+abqwt/Qigtlgb73b+L95x97Ak/TN+dIro9P30UhF8m4uH2dbNBba2MwsJMf94zQq0tkU8xP/d9D4r8wKg7eUjKNueAHJ4QXfFxDrN/e/eJX4edD6UaR3InUVMrjD/XHcuDJDpFPdeO20mlZU9H5AhVXs4t6wwKlubAihnZIDp6AKoI9EB9GIB2h6+KlzFhSnyikPh0CO1zLSE+J3wKUIsGNY6ZxElNQ4m/XoSxz5yLG+//Tbzjj8Ql03ZbvCvXq+n1u9iZJGwaNV4a6BCszq1rzH/1ioWjhp1PJWe7YuJErfdcIM1dPX9fy4ymIUQ8wWojAEaFKQAGiq6C6B9xAKkWyW+zDTHmlFRjUq3iWxiSCxfuosg3wKkpyfvTdz00hc8v1zUX/E7/UBPF1j6/7N33nFylfX+/5wyvc/2XpJsNgVCGk0CRDCAVEFQQEBBBL0owvXeKygKNqz4E9GrIop6lXKRql46IYQaSDak1+29Te9nnt8fz6kzszXJbsrzfr32tbMzZ86cmTk7z2c+3yal8Y3138B9H9yHt3rewps9b+buZlLoBaBEpLz8rN6wNohrINZXsFniv/b/C+c/dT5GhfXgOIJUNo7j6+h73TEcg5QlGBgcQNpoAGH3cBYkHgAAzCul4aI9AxFIWQn3tz6LZG9S3dbkn4QA4jjVBUKMig70tAC7n6d9wVZ9TdvW4sL580Tcee05EASjyFi46vy8XWeyGUTl18qdSQOd79LL8gBQX1ZrgqgwYQhsIpxlcOQ4QI75DpR55IRj+cuTS6Dl3Or/lMWJIUGAYBdQVSa7UnL5+kTOxwk1XpS6LDj/+ArUumsByA6Qv5G+homglk9l9eaH08ZBcYG6A2MLoEOaA2QIgTEH6FDABNBskecAHd45QGoI7BhwgJTQSrWzGh4LrVCZjTCYIoBcZpe6GGVIBunDbFzKrv4weBM9n5v9NPdCLxgjqQhuevkmPLf/OfW60cQopkOuA5YbBuuPBNTLEpEKvm9/2/k32vAvXg2SpSLFYZVgFnikpCx6AnF09ubnWgUSwNAgvV4RQLv7w3hu/3PYnxgE6dHEqeivQrFzEn1bbHLuiiKA1v2E/l78SaBYl6ticUHgOXz/c6tx1+3XY85S6taYSopx3Kln5e1Wn4/lzGbV4aGqACoUAjPnhMCEKYTAAMBZCmeOA+Rc7ITPKn/GyQ6QW6DnshoCs7gxJIu6IpssCBUB5Cwd9yHLPVa8e+dZ+I9zmnFew3mod9djTf0aKh68coVt53v0t/JZO0mqvOMLoIyURUxun3BIQmCGJGiWA3QoYAJotpC/SULu0nq4V4EpIbBDldx6OKEsqpXOSpTa6QfwbAggJQSmd4AAYyLwbDMSTSEQS+cLIJ1Qfnz349jQtwEOkwPHFx9P75cYyd/ZJFCeu+LO5eb5DMcChr9zc5MATRwkB84Fn6UhobgURY2fvsbtwzF09A2r23Oc9jG5u4M6TnbnEAT7fuwa3YFft/waAODu1hZKk79qYgcI0Iog4qPAwE5g5z8AcMDpXzNuZ5H72iRDWFzpwNXXl6D5F82ou+0q+D1O5KI8RzMnwAQAbW8AAE6r/AiKJQlnxOJ5IbBcB2hKOUAA4CyD221cUpyLnfBZFAFEv0Q55f2qbrLZiUFZAJXYZKdDdYAmDv0ovY9OrjgZz33iOZxUcRK9QQmDye7XlAWQ4gCNEQKL6JokHvokaOYAHQqYAJoNCJm2A0QIQSCWOoQHVxhFAMUyMbXb6tGKUgJf4aiYNQGUJVnVAXKanDDxJnXRP5zygFqH6DFyOQIolomp+TntIVqqfd2i63BaNR0EOpo8MAeowUObDOrbFQBAIGkU6IUSpZU8okxMQucDO9D20zb0DvSivoh+CWkbjqJzQDu+yrnarL7d3SPYF9iHb2y4Dva63yFe8jP0RntRJtgx0k//LwRXMXizbeIkaMAYAtv+NL3cdK5W/q4gO5FIhlFsSqI4I0H0iOCtsYLug76HFACgeyOQjOAjvma81tGN0+OJPAFklz+DRuJUnE4nBOZx6UaB+EywVFo0B0gJgclNCrUcICeG5I7ZxTZZ8KgCaHwHaFyUROiuQ+MAKeEvi8jDLB6CpVTfCJHlAB0SmACaDZJh2qYdmHIO0A/+tQPLvvsSNncGDt3x5ZCSUoZFN3dI59GGsmhWOavUypJDJYBag62GcIVCPBNXZ5Epk7qVkMThlAe0bzAKgIA3GwUQoC1wiqNQaiuF30Idj+mGwBTxopQy6wewAkAwGcLom6MYfi0IQkjBUnjFRRp95R8ItAwgsjWC5/7+HOpkAdQ+HEXnkCaklp58mnp5T28Q+wL76B/EhGzGBafJg5ukBozE6ftl8tPQkm8qDlBsWHZ/ACy4MH871QEKo0hMoFjuasyJ4YL5J8o55bC4aSiISEDHO0BIfj0cpXmjFRSxlCF0YZ9OEnRpiQjOTB0Z1zIXOI7ThcCoA6QkYuuToJUQmCqAIvL/24E4H4oDJD+u6rZPkokcIC3/5xCEvwDjKAw7C4EdCpgAmg0U90e0aqWOk6wC29wZRJYAm7sCh+74clDyfxSO9lJ4RQBVOCtUS/5gC6BIKoJvv/VtXPT0Rbj1tVvzblcWB4ETYJVzJg7HSrD9g1FwQhQcT13JGleNWk2knCdKH6ViW7G6GB5oDpAqgHIETt+Hreh+sBu9f+pEeGO4sABKx5DoSiD8wVrteezej/pi+iWkbTiGziHt//CMM1erl3f3x9Tn5SYLEd3zDdzW9Ag8rdr2puI6uK0iTOPNAVNQFraeFqBvC03cbTo3fzudAPIImgDixQjc4zhADpMDqF8lP8nXgKD8euS4P4BxHhgwvRCY18aj7qt1WHPzGpRdWga7aIdFTnpWHCC33PpDcZVhdmJQzA2ByTlYzoMggBQOugN0CAehAtraYPUA4iTENGPKMAE0G+T2AAIm7QCF5H+6ocjMhcHUDyqZoz0PSO8AHYoQ2Mb+jbj02Uvx5J4nAVAXKBc1hGF2qjkONtPhJ4BahyJq+MsML8yC1m1YyQNSHKBiuyaAppMDRAjJE0C5IbDRPX3q5di+mJYjtPdl4Ef1SG99Ckkpid5HemkoWqZzf6caAmsfjqJzVHPZzjvrTJhMVGTsHsogKD8fnzxja09/GO/v0nKNzBXzUDSZBGhAE0B7X6K/a08pnPCqE0BOEpvQAdJXEKJBFkBvPwA882/0ck4FmLqtDkV4TxpnGWzZLJwLnZh/+XwIDkFzfwA1CbrSSR0yVZzmOkCETLoKbFwOVADJDlB/KIG03CBzKJLEB+30fD+kJfCA5gCx/J9DBhNAs0Fu/g8w6RygkNyafSSaHHe7g0muAJpOJVg2S/Cb1/fh/728e1Z66kyWTDajllZXOCrUENjBGodBCMHta29Hb7QXfisNfxQSlPr8H4XD1QFSEqDFLF24lUqjcCoMKSupYqfYWqw+5+kIoISUUMOC87w0v6M/2k+r4nY8B/zvZ5Ho1dzKVH9KE0jv/g6IjyL+xk8Rbgkjus3otPa29eoEUAydo/QLhsnhxpzKInXMxJ6RLDr270b/U/1IbKdCaM9ABB/s1c4PS/ncySVAA1oVmNwhGc35Je10p5oAsuUIoEIJuAYHqPl8YP7HAV4E5PwetUJKR64AmroDVAq7/L/dIwtP5f0GIaoDVC3nbyniNGt2YFhJgraX0C+ISp7hgeS+OIq01xeYsgAqdlhgFnlkCdAXpIL4q4+24LL/fgsb2kYObQk8ABTJVYBliw/N/hk4RO8cY1wKCaBJVoGF5H+64RlwgDJSFj97aTcEZ5vxGNJTE0DxlITbHmvB89vot/NT5xTjxAb/BPeaHQZiA5CIBJEXUWIrwah9VL3+YBBOh9VGc3857y84/6nzEc/Ekc6m1WncgJZnpV+UlG/kh0sOkJQlaB+OgfPQ14iT6HuqCKBQKoTR5CgkIoEDhyJbEUyCSb0t9zkX2v9wJIlSeSyBvglipbMSVsGKhJRAX7QPNa98FxjahWS/lqCf7E9SgZQIw9S6DgAQGdiOvse0/ZitZqQSKYz2jcJnIRB5DolUCr1hKkjs3hJYTQKampqwc+dOJDLAvVf9EulEBq/94wlU3HgO9vTb0LWfCgub1UrHYExWAOXmdsz/eOHtLPIsrGQIZgBFsiPB8WmIpvzPAoMAsriAKx+hzRZ3/hPo3wac8qW8++Q5QFPNATI7YeOokFHcHdUBSscBOSm+2qeFLwkhCHAcMrLLWWQt0gZFWzzGSqjpUNwEdL5DL09RAPE8hyqvDa1DUXSNxlHkNOOd/fR/d93uQZS6qMt3SCrAAKB8MfCVFiBnZhvj4MEcoNlALYGfmgOUkbKq7TocPfQC6OUd/fjvtfvw2Ae7DddPJQQ2FEni0w++o4ofAPhfudvu4YgS/iq3l0PgBbVr7Ehi5KBUvyn5VFbBikqnloeR+5qO5wAdLmXw3aNxpKSsmgCdTeULoOE4XTB8Vh9EXoTH7AEnj0J4p7UTH7QbnaC0lMa7ve8iKSVxx5Mf4qR7X8H2Hiq4FefLJtog8IL6+nUF9gHDe5AmRB1GCgCpvhSy2Sx69/wTkO+7J0SQ6qP/O/6GRVh61lIA1Jlra92PGr8dpvRGZGWT0l1MRzE0NWnhlLT8JSQrZRHf9z46evrQMUIft76xHhzHo8g5WQGk+yJQugjwNxTeTlcGz6fCsBMCTqLiMYNg3uaFzh/Y/cCya4DzflgwBHbAOUAcB5tIRVREPkeVxphQXWMOld654MAhnoljJDGCIY66Wd4soQJZTYA+CJVPSiUYMGUBBBjzgDZ1BJCRT4wP2kcRTh7iJGiAng8HKgIZY8IE0GygOkBe7TrVARp7cdP3nRiOHPoQ2NpdNA4fSgUM108lBHb745uxuTMAr92E/zqXVgj9c0svorrncjihhEyq5DwFv9UPkRdBQNTF/EBQBJDH4oHIi+q37jwBJDtASgUYcPiFwPbJJfCCLIDSSZoTo+YApUIYjGsJ0ADwjTu/gf3f3o/YvhhueuR1XPngu4ZZS4/vfhyff/HzeHjrw9jZFwYhwJ4B+toowk95HRQB1NP7AUCy2BvlkE1o7ZtJhiA9kkb3/pfpFb4G9OleurqmxaiZow0E3b17N+qK7EDmffW6onJ6+/z5OWXpMlJnC1J92vTyijrqbkw6BKYXQM1juD+AIQSmVDXxGXruJBHI21xxy3JdnfHQn2vANBwgAPacfaghsITS9dkNk8lCx1WA9mkayspT2pVBtOFe+ts1xhywqaDPA9LnXE4SVQCNxvFeqybWWzoDCMQOcRI045DDBNBsMG4O0NghsFBcWyhGDrEDRAhRBRAEoyibrAO0qy+MdbsHwXPAY184BTef0Yj6IjtiKQn/2tJ7sA/5oKBvgggAPMerlSkHIw9IyadSvhnnlQTLFHSADrMk6P2D9Fy12GguTCxGz2e3RXOAlAqwElsJ2tra8KMf/QjR9igG/zGIZDaEVCaLYFxz1pSE8I5wB5pim3C3+DASMfo4egcI0ERq99B2AMCHI/m5Zan+FLp7ZUFz1l0YINrrWVlWjPo59erfu3fvRn2RA1JYW+g8lVTIXH755ThxUQOWlPE47ba5EOSOx9HWFiS7d6rbu2uoUPI7ppgEDYyd/wNoAohkVQFEMvS6WCa/os6QBD1J7Pq+M5hGEjQAmxKqk8ntAQQrvV1577rCXRiUhW1JJk1zhQK0b1ShPKUpoxdA03GA1HEYMWxo086LWEpSBZHrUIXAGIccJoBmg0IOkFLyOI4DpFSAAXRKcUbKjrntgbK7P4K+kJxrIgsgM08Xg8mWwf/xTbqYnbOoHPPLaU+QTy6n1vv/fjD+pO7ZQl8Cr3AwK8FyBZAaLspx1fIa2eHwywFqHYoAXAoZnjpjqVgJkhnJ8JyUfKciWxE2bdIGpiY6EuAEWdiktHld+qG7n4n/DZ8VX0RRz2t0uxwBpLgI/aEOAMC24fz/h2RfEt3JEZoAPPdsDDq0BbGqrARz52rjJhQHKB0IaPf30fPB4/Hg3WceQsvNTtiPs8K1mIqPTDKOyOb/U7cXKxbQ5ztZB8jiojO/Tv4SUHHC2NuZHQA4w1UZib7Oo8n8hHJ9F/HJ4hAPMAkagM1qFBlqF2il/5AskKpd9HOgK9yFIYl+vhRnJJorNKoIoNopP34eBykE1jYcw8YO+rld66dCUWlFckhDYIxDChNAs4FSBl8oCToTB7KFhY1eAAHAyCHsCL12l7bYc7IAqnLRb22TcYCGI0k8uYl+6F1/mpbXcOmyanAc8F7rCNqHD7+xH0oIrNKh5edMRQBlSRa/avkV3up5q+DtSghMcUnUcFFOYrnyGs9kCIwQgr0DEUjZyVXp7R+MgrdQVyybcYJIToQTGYOrpXeAPvzwQ/W+6eE0shkqjuJpnQCS/zeCqSDchL4m5hjNH1PCOopToVboySJr91D+/02qL4VuUQRqTgasHgybNWFb5ragab4miHbt2oX6YgfSAa3R56C9Df1R2fmTJ7OHkIXzOO19kaL0mF1mIOKkrsWkQ2AAcNZdwLn30uGoY8FxWiI0gCx4ZDI05KiEGfVEM/kCeiIEXjCInmkJIJsxqdtn9VFX561f0isaTgdA5+wBcggsRf8niiUJSEWAQId854PgAPnqgZIF9Mc+9cILxQH6oH0UiXQWPrsJl8tf4pRiVhYCO3JhAmg2UJKg9TFpvf0sf9Bv7BhFf0j7tq8PgQGHNgymhL9MAqcKoFoX/UY2GQfob+92IJXJ4vhqD1bUaUKv0mvDaXNpPsgTh6ELpCzYiujRX55MCGzTwCb8ZvNv8MP3fljwdkUATRQCK+QAHWoB9OiGTpx93+v43br9k9q+dUgTQFyaipFwImNIglZ6AJXYS7B582bD/dMDdKFL6ASQMiIjlAzBSehrYIpT4ZnrAKnvi0Sv3z2ULyCS/UkqgOadDQAYiWkiqSnwOko8JRD9dAFTQmCpgObCCj4eT+x5gv7hqUaGNyHC83Au0vozKSyrNGFQ/nedkgCaLFZNAGVMTpAM/Vt5jfUUqiKcDAbHcRo5QLacsnWf1QfsfgHo2kCHe552GwDNAeqOdGNQ6RMlSTTHKXAQHSBeAL74JnDzG/TyFFEcIOVLwYp6P1bUG4WUkwmgIxYmgGaD8XKAACAdQ+tQFJf++i3c9JcP1KtzHaBDVQofSWbwvlydc86iclUA1bhoQuhEDlAqk8Wf36EfYtd/pCFvobh8Bd3PlPOAYiPA2h9q3WwPAcq3abUjLbSFVhFH495f3qYv2lew39FkQ2CFcjgU5+NQCaB3Wnshuj7E+v0TC9NYKoPeYAKChYoTk0Qds3AiDY88t0ovgIpsRQYHCABS/dRti6c0UaJ3gFygAsiWkHOM5FwRu0hfB9WZE3jA5EDrkDyKwiaAkytnUv0pBAQemLcGADA6quXLNIysg2NwNyxlNF9neHgYVimGpDz6gOMAk9eEJ3Y/QXsN8QLCfupKiG4Ry1csNzyfpdV2jMqu7KQmwU8VJQ8IgGB1wyuPFSmUnK+8VlMVQIa2C9MRQDmzu/xmL/Dq9+gfJ90EuKhQNoTAFJEsSTS/KSBXiR4MAQRQ4SNML0xV7rGC1318nVjvxwk1Xoi6K1kI7MiFCaDZoJAA4nn6DQkAUlG0ya349w9qdnwoniOADpED9NbeIaQlgroiO06dU6wKIOVDayIH6PltfRgMJ1HmtuDjx+X3sDhJ7gHUOhRFMiPl3T4mm/4CrL0XePqLk7/PFEhkEqq4U8rfgamFwJScl3gmrk271qEIIEUk6JsG6lG+wSsOEXDgOUDvtY7gnue2GRwXPZuD/4Kt+m/YFn16wn2pCdB2+prYoQigjOE5KYubI+vAvn37DPtI9snOjnw8hBCDA2Tl6PltSw3K2xkdICUEFuN5DPrnIyALl6JyG6zF9FxNDaYQJAJQSgeaBke1knGfjYPr1R/AUq6JlXVrX0W8k+6nwm9FqbMUQ/EhvNtHJ4oHvXS/Tt6M8849z/B8Fla7VKfA5zgEi6JeANk8uO8y2uG5UAhsug5Qob5TU8GeU7nlbXsT6N9Cw3cf0Ua+KCGwvmgfeiP0i1CxJAHDe2kTRF4EXPnjOmYak8Cj3K29Dic2+GEzC1hUqblxLAR25MIE0Gyg9gHyGq9XxmGkY+o3yVAio7ZhV5ogKhQqhe8cieGrj27C1u783iCTZe1u+oF6ZlMJKjwWcAJdECbrAG2UW8VfcHxlwSnJpS4LXBYRWQK0DU2hp43SH6T1daBn0/jbTgNlsTbzZnURB7SFttBk8Vz0HY4LOUaK06MIoIlCYPoF6UBDYD99cRf++GZbQeeNEILhFH1+CfRiaII2C62yQBcsA+j5Sw9a7vklEp1bEU6kC5bBD+7Pfy0yffS1UgRQLBNTey2lsikkZOfQlR5Wbwe018FussPJ0cXn3WQR5CbRKCsV4SqV+9xkgeGRjHITwgHtdfb4i+EY2gtzuRauuvMbd6r7OXdZDRYX0y68ynsfctMF3g0B555rnNlVWyq/pxYRFnHq4ZYJ0QkgWFyqS1koBFbo/JkM+hCY4rRNBZucJwgAIi/C+fqP6R+n3GLIwfFb/bCJNhAQNe+uWJKA/q10A3cVIBwewkLJA7LrhM/yOu25sCqwIxcmgGaaTFIrdc+tSlA+rFIxtccEAE0M5ThAhXKAnt7UjadbevCHN/PnS41LTwvwyneBVAzrFAE0vxRFLgJOblSm5gAlQ+OOs1AWx3mlhRMwOY7DHPm2vQNTmCyf1ImEN38x+ftNEjX8ZS8xhO0aPTT5tTvSbehGXAi9ACrkGI0ZAstx1RT3SO8AHagAGpDzybb15Dt4o7E0MnI/Gd4UxM7e8UVu21AU4BOI9PZg5JURxAYHEFj/N4R0DlAwGVSPtXt3ftgy3h0EIVnE5T5AuQNSQzz9eHJnNFcNMJZrlxL6Pr2niwJVFROUlGvuQawvgYREn3s4qD0v+4X3wkoIbGWaANq/T85/EoDLPtKc5/4FnTTHxUMITjzxRHi9Xvq3BbC56Hvln2wTxKmiF0BWN4rkhOPRxCgyWeOXo0I5ZJPhgENgOgHklyRwI62Asww42ejachynlsIrlGQk2qUaODgJ0AcJJQ9oWa0PojzgdkW99tnNQmBHLkwAzTSK+wOOtnrXozpAUQR0FV6K0FFmz9jN9NtloYGoSlisNzDFMMlr3wfe+CmSW59BlxxKWFbrg81K90eyIqw8/afPkMy4i3CbXN1VXzz2t8+5BQRQNkvGD4npBdD2Z4CRySXrThb91HI9RbYi+K1+EBDsC+wrdFeVkfjUBNCYDlCBMuYDFUDKubG9gABqHYqAE+kxcKYgdvaNH+YcjqbAmwcQ26UJwmT3dgyNhtQKN/1x79ym9crx2aloySYkZIIDahm8kiCuEJQFkDMbBtIJVXyq1UmEoDRJz/OWLu1464oFrC7SXJFUX0p9faNBug/ObIJz2RXgzvgveMvyBUvxCS4sWzBHPRcUcRyy0efmTqcgiiJ+9rOfoaGyGD8824ooR9+rQ5IADeQ5QD6LDzzHg4AYhHdKSiElNxd0mGc4B8iqfab5Ukla6PGZJw0J3ApKSB0AbODgIEQTQAcr/+cgcHIjFZr6cL5S2MFzgNvGHKAjFSaAZhp9DyA+5+VXvtmmYhjVOUAjESUcRq9ThjYWCoEpbpG+emxSyNOXowNtAACHWYDbJiIFunAQyY5AhIMohxzGygNKZbLoHKGLTONkBJAux+lHz+/E4m+/UHCBBqAJIN5EG8K99cDkntskURY5fQWYwjwf7SeyJ7Bn3H0YQmAFcjP0naCBsQWQ4gAVqsqJS1MXQKlMVhXQO/ryHbx9g1FNAAkRbO0Zf1hpKJ6GYOlHdLeulYGUweYNb8MiWGARtLyaElsJNrdoIctPLNa+MacH9yOepiFeJf9HISjo/j8i/ZoDpIRmQj0oTdHr9nZogmdOMY9L7drjpfpTak5MPEzPTcFmg0kUgNV3oqihDsiJWM07uxzlq2/OS4APyl9S3KkYkM3i+uuvx/5H78DNK8wIE3rbpHsATRW9sLS4IfCC2mlZHwaL6pqpTjWMdcACSFc67yUccM2TdKZVAZQ8IAAo4iy0y5HSBdpbP+XHPlRcsaIG6/9rNa48UesaXuq24gefOA7fuXgx7GYmgI5UmACaaZQeQIXasivf1nQ5QID2zV0JgTWU0O0KhcAU4dQXSkxt6rrsTCVHaaii3GMFx3EIKl1nJRt6g4kxF2yFztEYsoQKqBLX2JUwc0uMDhAhBE9u6kZaInhtV75zQg9OfswVn6O/W/4KRDSRIWUl3L/xfqzrWjfx8y2AsojkOkAA0OSj/WL2jI4vgPSLeK4DlM6m1equ8UJgUlZSF/uCfYDSUxdA+vMpEEtrTS5l9g2GwIn02DiOYPuAVgm2eXAzNvRtMGwfSqTBmfsQ3WXs5bT1vTcAGEN3RVatAqzaI2BFjbaQp4f2qDlAY4XAABgEkLrI9m1BmTwVvb9dzs/igHl+AUv82vNL9iURSlHRl5Cft2jXhIHL5oa5RBMt5nIzGledCJTMV/NsVAdILqV2ZzLaYi3ndUVAj2umHCAABfOAFAFkE20Q+aktzsr5JvLiuINqx0LkRZjkZcVfeypQtXzMbfUOUEluwvVh5ADxPIdqnz2vmvWqk2rxmZMPn1AdY+owATTTFKoAU9ANRNXnAClCR0mCblAcoAICSAmdxVKSIWn69sdb8Knfvj12kztZ6EhB+qFeKce9gylFANnRHYgbxhwUonVQC3/lfmDoURyg/YO08V7nSByDYepo7eidwAGafx5QdhyQSQD7XlFv3tC/AQ9ueRA/2fCTMR93PPRN+3KZ56UO0O7R3Xm36RkvBKYvdVcEgj5hWEERScDB6wOUm9Sc67LtHuwDx2nl6O2BHqSlLFJSCje9dBNueukmg7sVimcgRVqRGTXmnuzeSBtA6pPIzUEzwhF6XlSXelBcWqbelhrcr1alKeFB9TF4HmlJPl/DfVoZvPJ/0r8VpRkJhBAEu2kSkKnYhCKBwG/j4LfRj7dkfxKRdASxWAzZDH2OokN7XZ0mp6ESzL/aD48cylGqAdUcINmZc2ezWghWPi/DkB2gQ1ECD+TlAAFQ84D0pfCKAJpOErPiANmEqTdBVLDJIsrnnzfudkpRBQAU53ShPpwEEOPohQmgmWY8AWTWh8DGcYCKxw6B6YWTEgaLpTJ4cmM33m0dQU+gwOJJiCqARLnrrVL6qSxKRLKjJxCHyzS+AzSZ/B8AqPHbYRZ5JDNZdI/GDXN2dvaNkYCrCCCLByhbRC+HtYomxZ1RStGnSu7gTj16B2gsZy0lpQyl77lVYEr4y2V2qd/M9SXjX3lkI+57cRfeb6fPycybYRY0N0FZ0KYjgHLdwlyR2RboM/wtCaPYPxhFV7gL0XQU6WwaW4e2as8lnkaiPT8Ha6hzL3p6egwCKNWlPbartBqCvwa8iYrj9GCnmgOkd4AIIfjen0bh/3EY/9ydLuwARQZQKklID6chyWLfUmGBS+6k7vd7AQCZkQwGg4MYGdHOMbNDExMOkwOupfRvX6kPvtN88JhlASSL4ZHECNLZtCpUPVlJE0DyoM8wocd16EJgegeIvr65OUqALgHaPLUEaEATQNMJfyko7493guGj+hBYsc4xBHBYJUEzjl6YAJpp1BL4Qg6QEgKL5jhAVOioOUCyuAglMkhljO3/9cKpL0gFUOeItmAmc7YHQNvPE7oIWRL0m26FJ1cAOdCjc4DGEkD75QowxaUaC4Hn1ByhvYNhvN+uLX77ByOFe9UoDorFBTjlPJ2I5rIoCcrhVDivKmYyjJcD1OhtBM/xGE2Ojimw9A4JkN85OjcBGtBGYqSzaTz7YTvuf3UvbvzrmwAAW863YmVRSkhTDG+ikADS3j8pS9ATMYo1TgxiR28IbaE29bptQ9vUy8FkEPF92uuw4ISV6uWXX37ZEAILtWtiK1XSjKClEt4KKhLSw4MIRajjpXeA0oNpbNyaQCQFPLgxDRLqy0+CTgRQlskYwnD2RrsqgDK+evX6fXv3GQSQxaEJNKfJCf8Zfnz/ye/j9r/dDsEhqDlaPqtPzXsbjg+rLp7RAaLXZeXnfOhCYPocoLFDYNMZhKqgOI4HIoAUh85vGX/0hDJwGABKLLrPQ8EMOA/CJHgGYwKYAJppCg1CVdA5QPoqsNFoGtksQSRJF/Uavw2C3IlUL3gykpboCugFkFapU1BYJLTqG1d6GByyKPfIIbCklgPUE0gUDNnoURo4NkzgAAEwlMK/r3OAsqRAeTwhOgfIBSgN18Kac7E3sFe9PNmBrXqGYmPnANlEm9oGYPdI4TCYIoCUBXMoPoQs0QRn7hgMgLo6AkfzSjghgboiOyxm+p6mB4Fly5Zh4cKF6OrqUhf+LMmqVT6TReka7rPTvI7tOgeoJxCHxBkrsHhTEDv6QuiQB40CwNZhzQEKZbtU4WEymXDNF29Xb3vxxReRyWgL6MAezaUbKl6JiK0S5ZVyfgkh6Gmj75teIKaGtefXG8lCCvfmJ0HHAyiTJER3agLI0eyAa+Gl6K06FwG3FoLp7Oo0CCC706teVpwSf6Mfkp3+fyjClOd4FMvjHQZjg5oDJOWHwBY0VMNhFrC0dupDNydFAQdICYEVygGajgA6GA6QMlTVbxtfAFlFqyrgivViyVOTXyDCYBwC2Fk200wiB0hKRhHVTcgejiYRTmbU4Xtuqwk+O/2Wqc/tCOT0CVISXTt0AqigA6SW5gMiMvAhojpAmgCSc4DG6FujoPQAmigEBmiJ0O+3jWKPLHiayuh1eWGwdFx1qagDJOeRRKjLQgjB/oAWksktqZ6ItJRWE5j1XaD1TFQJpoRw6j314MBBIpLBFVIWeH2ZOMdxqqjk+DhuXNWIk+c4kE1mse1nm7Fp0ybs2LED9913n2FRmmoi9LDsIp46hy7mbcNRxOT+O/uHouDFMFKDKQw+O4hkbxKcKYBdPYE8B4gQgrSURTy6B6l+KlJWrlyJj6w6A5yZCrSXX34ZqYTmgnTuoPuwihzCviYkHDWoqdASbPtadxtevzp3HdIj2rncFyGQQjQHiBCCPR/uQU9PD5AIwC9lEdtBzznOxMHWaIProgew78xfgXdp72NvV69RALm0/z/F9Yimo1qVnlkr51YW6YH4gDbMNpsFhmQhLIfALj91AVq+vWZS4n9aFHCAFLF+sATQ0tKlmOOZg483fHzah3ntomuxumY1Tqk4ZcJtFxbRDt1z3bqcH5b/w5ghmACaacbNAaIfWKm4cfEfiaYQlsNfFpGH1SSgWG62pp8HFsiZDt+rOECjOgE0gQMEAGXcKCq8+TlAfaEEnHIOUO7sKgCIpyT1MccrgVdQEqFf3SmHsTY8gs2/uBGJzq3YmZsIrfYA4ujrpDhAsgAaiA0Y8m+mKoCUBUTkRINDo0cRQGMlQitip9hWrH4z1ydCF3KAAC0RmhPiKHaaYbem0PVgF6Id2mvw2GOPgSOcWpkz1TwgJQQ2r8yJEpcFhGgic/9gBJwYQteDXeh/sh+tP2lFKWnFHzrPQ8eHf1X3MZwYRn+sH6F4Gqme99XrTz/9dPjddlhraLlzf38/BvfJSfVRCV2d9DVorvaC4wUQby1q/FrdeXCY3q6ca3XuOqSHdblsEQKE+hDPxDH62iiuOucqLF26FEODg+gIZJEaotva59phsVphESxw20SIbk0ADfQOYGhYEwlOt+Y4KEIhko6owl4vUtUwU2xIlwOUBQZ30f8d5VyzeGASDuFHaoEk6PEE0FSbIAI05Pf0JU/j88d9ftqHeV7Debj/o/dPKgfp+6d9H3/7+N9wnCyEADABxJgxmACaaZQy+HEcoHTcGP4ZiabUSfBuG10Ai2QBpM/t0PcOArQkaEMIrFCjQeWYZMq4UVS4jSEwnjggZQl4OdGzUA6QkgDtsZngm0QehCKAMlmCdKAP7a/+FQPtexB69+/5DpAa/nLTKZWKAxSmAii3QWFuRdFEqAnQ9mLwXOF/iybv+KXwigDyW/1a+bQuEbpQDhCgKxkXEihyWrD98f9B6H2jAOzp6cG6deu0SrAp9gJShHKR04KFFXTxVCrBWoeiAB9CfD/dZ2Ykg843OsCDoN1Ew3lmuXpw69BWDMfiSHTsUve9atUquK0mWBuWqdd1bqShs3ibdpxz6mjSq+itQYVNqxCMBunrZhBAOgcoKQHh4V7E03FEttP/jYGBAfx+XSfWtmkhX0ezQxXoHpsJgksLZQ71DmFgSBOjHo8mjlQHKBXVRpXoHSB7AQfIWQGAAN0bjaHZQ0mBENh4ZfDTcYBmGo/Fg+NKjgP0SdAsAZoxQ8yqAFq3bh0uvPBCVFZWguM4PP3004bb7777bjQ3N8PhcMDn8+Hss8/Gu+++O+n9P/roo+A4DpdccsnBPfADQXGACvYBogIok5Q/wOSOz6OxNAJxuoC55cF7fgcttdWHwEZzEl0LJkGnC4TAchygajGodjdVFiW/fLxKbkehENhE+T+vvPIKnnrqKTWBt6HYoU5aTnZok8K5YFd+J2J9AjSgCaBUGEhFDfk/+uOeLIWmwOeiOED7AvsKJlkrydF+q1+dHzYQ1zlAKWMTRAUlrMjxcfCpCN54XO5jxAGf+9zn1O0eeeSRaZfCK5WERQ4zFsgCSKkE2z8YRTY8AJLREqs7/28InSlgQKTnwelx+njbhrfh3Z73ENtH78txHD7ykY/AZRVhrT1OvX/f9nYAQGy/1o+nspZ+sy/yOFDt116DeGgUhBB1Enytu9YggACgZ2gIGZJBelS7/r/fGsUrrZqgdzQ74JJdB7fVZHCARvtHMTisiVGvVxNHegcot1EloCXFd4Y71dwrT4Xc36ZrgxoCK9Tt+KAyThVYPBNXk8QPJAl61tA/Ny8TQIyZYVYFUDQaxZIlS/DAA4U7+jY1NeGBBx7Ali1bsH79etTX12PNmjUYHMzvsJtLe3s7vva1r2HVqlUH+7APjHFzgOgHVlYWQI1yjoyUJeiSRYzqADk0ByhLsvjJhp/grb5XAWgVXEozxI4JHSCjAGq0htUePsqCUOakIYNkkgqvQg7Q/nEEUEtLC84++2xceuml+Pvf/w4AsJoE1Pqp6Et0bFG3TYeGMBhOqn2BANBKNQCwyLa6xaX1TYr0Y1/Q6ABNOQQ2TgK0QrWrGjbRhlQ2ZUgOVlB6ABXZivL6x+iPKdcBcsgOBCfE0blrGyS5903TyWV44IEH4HDQ1/OJJ56AhdDXf2vPIDJSATE7BopT6HeYsaCCLjZKInTrUBQpXXgIAKSIhG9uoOeKNwucKgugrUNb8VbfWqQG6P4aGxvh8XjgtIowFdeCt9LnMrqnDSRLEN+viXJ3ZT0AoNhpQV2pVuUTD48iko4gQ6iorHMZQ2AA0BGlr4m+71BHMItHttDtlPwfjywMXFYRvMUO3iKfrwNhDA7pBJBPC4EpoZpoOlpQpCqiWHEZBU6Ao+ZkemPrOl1u2gwIoMbVQO2pgJ2GWO0muyqKFRF/JDlAKhZduIwJIMYMMasC6LzzzsP3vvc9XHrppQVvv+qqq3D22WejsbERixYtwn333YdQKKR2lR0LSZJw9dVX45577kFjY+OhOPTpM6k+QPQDrMRlgcsqYh7XhVPWfQan8NvUwXuKABqOpPDh4If48/Y/47nuXwCQML+cLnAj0RR6ggm10y4whgOkS4IGgFqTnL+RlVShU+WmwiCaoI8/ngNU4o3jrjfvwq4RLUzyxhtvqJeffPJJ9fLcUicIIch0au9pOpVGNhk1ukC5YQaO00rhw/3q4qSMBpiqAFKcmkIl8Ao8x2Oudy4AYHcgPw/IEAKzjx0C04dXAMAsz5AShAR2bddeh+Z6ESaLFRdffDEAYHR0FMEt9Hnd+fRG/Hbd5GehKT2jip1mNQS2ozeEv7zTju5ADKnB0bz7PPpGDIF3Asi+EwbfSkX0tuFt+KDzdWTj9DyqqaHN7EwCD7vZBEs17c+UiUaR7E0i3kqFk8sMZORE1xKXBbWlteAEKrKT4VHV/bGJNpTYS/IcoO4oQLIE6aDxeqVPon2eHbyJV8OJosDDaREheOj/WXQwasgB8ukEkCIUAsmAKh4KhcBag3TAsNvsBlcjl/13vEN/c7zWyf1QwXHANU8Bn/uXoUoqNwx2ZAogvQPEcoAYM8MRkwOUSqXwu9/9Dh6PB0uWLBl32+985zsoKSnBDTfcMKl9J5NJhEIhw88hIZvV3JYJOkEDgNduQpHDjMuEdagJt+CTwutqCEzpNjscTaoLb4rEINg6UV/kgEWkb62+vBwYvww+IdIP/XIuAICKHAK6wtR56TfOUJQ+fiEHSKkA686+jKf3Po2/7fybetvu3ZpgePXVV9Uw2NxSFzKBPiRDxt46UmgAu/R5QIXyLOReISTcqwqg5WU0NDHVENh4YzD0qJVgBfKAlComn8WnhcB0DtBYOUAC5O671hRaNmrJxUsr0xgcHsZVV12lXtf9Bh1VwvEpvLZzAJMhlcmqXcH9Dgsaih0odpqRSGdx19NbAT6J9IAWUvPXU4GUShJ0/aYLb/2uHZ/8VRCpvQmEU2GM6nJpqqu1ZnYuq6gKIAAYfH4RMnLjzeWVAtqT9PwucVng9zZCcNEQbzoaVCvwfBYfuGhGFVgKXVGCTCgDjDEr19FMX0N9/yG3VYQoC/dsOov9ezTBWFykc4BkB643qpXr6/ejCIx0loovt8VNO5GLVkC+DhYXFSiHGo7Le5zcRGglBDadJOhZw+ICVn4eWHGD9sWGwTjEHPYC6B//+AecTiesVit+/vOf46WXXkJx8diL1JtvvomHHnoIDz744KQf495774XH41F/lG+1B51kiA7xBMboAyQ7AXJ+h89uht9hRhNH5zJ5EVVDYEqzteFoyuDGCM5d8NnNKJfDYBtyBFDBMnj523efhVrPxcSYlOo0OVHqoscWk8ubCzpAchJ0INMGwJiYqRdA/f392LFjBwDg2lPq0CS15+0rExw0NOsrKIBcVGT0B1oRSUcgcAKWlFBxPFUHaLwxGHqUXkC9kd6821QHyKYlQRtCYLLQ9FiNDhCy9L0ym5PY+MEHAABO5NBUKiCy7z187GMfg99PF+yud7qQTWYBPoUt3UGkJxEGU3pF8RzgtZkgCjyeueU0/Mc587Gk2gNeDCHZr4UbL7rlRPDW/I8G8w4qojIjWhgqVwBZazQBFP5grXp5ZaWA7hQVQMVOM/z+eRBdVExnogFVPHqtXvS1GsOZANAbIYbwl2AyJtk7FtDzU7/ou3MSodv30fOMEzm4XcZRGICWV+UyuSDwWpVarivoMXsA0QxUnKBdmZPXNZPk9gKKpo5ABwgAzv8ZcMF9MyMkGQwcAQJo9erVaGlpwVtvvYVzzz0XV1xxBQYGCn/zDYfD+MxnPoMHH3xwXJGUyx133IFgMKj+dHZ2HqzDN6KEv0x2QCwwL0h2gASJOkA+uwl+hwVNPBVAPi4MtxwC05fB60vSRcce+BwmlMmjLDa0GkMbiXGSoNt4uri7M9SN0SeEKn2HonH6+NF01JAIHEqkMRRJASDojFJ3RD8XSy+AAOoCAXTmWFWiNe+QMqGBnBCYlgQtSRJuvfVWLPzaP7G+I4N9cgJ0rbtWXQymWwY/Vg8gBSXElju5nBCiCqBIXwROQhdV/YgCJb8k1wEiEs3h4KUI9uxvAwBYa6zwcASk6z2YzWZcdNFFAIBMMoNEdwIcl0YykzW6ZGOgNUE0g5ezzqu8Nvzb6rl45pbT8PDnm5Hqo9u4XC4sqfei4c4GlF1RhuKPa/9HpmFqv+jDU/ovCy6rCeayORDN9NzLxrT3YGWlgFHigtVEQ1MmfwNcTvnjJyuho18+xy0+dOzXQqcKA1FiSIBuPmE55Dx9mCwW2Broa6gfwUEFkCZeJHlwKm83GyZ45woFd04uj9fiNQwVdSkivHqFttGhrgAbB3Uchizio5kjVAAxGDPMYS+AHA4H5s6di5NPPhkPPfQQRFHEQw89VHDbffv2oa2tDRdeeCFEUYQoivjzn/+MZ599FqIoYt++/G+WAGCxWOB2uw0/h4Tx8n8A1QEySbRyxms3o9yaRjVHF2cPomp1lhICG8lxgCB0ouWt5+ABFVG7+o0L5HhJ0Lsk2prelhoCspJaVWLNWvHIL7+Pzgc+g01PP67eLaIkJgNoH6LbFrmTqjhQBEEikUB7u9HlUQQQIQSvvfZq3iFJoUHs6Y9oib66Mvh77rkH999/P3Z0juA7ryexN0rDQnO9c1VxMdUQmOLUTOQA+az0vcudXB7PxJGQEghuCOK040/DBadcAClOGyG+uL0L8UwcSYm6LLk5QJk0FQyx7n41NGittaI+nYatfxMAYM6cOdr2gQzAU8HS0ql7nj0tQOd7ecesJEArrRPybo/1IzUo9wmaNw8VmTRstTaUfLwEJRdqr0dKDpNlRrVzKNcB4gQRjlpdTxeZFVVmhGFDsdNCE+x9dShzaN/0W7tpUrnH4kFnW35u00AkaxBAlSVe/PhjVpS6zbjw+q+Al0O++tCVx2aC6KzI25dgN8Nu1hweV84cqtwqPY7jDOeF+v5Va+M/DnkF2DhUOasA0Co14Ah2gBiMGeawF0C5EEKQTOYPAQWA5uZmbNmyBS0tLerPRRddpLpIhyy0NVlIFvA3AroZRQZkB8hCEgAIfHYz5vE96s1eLqImQSshsEgyg9HYqLx7gvafteLnX/sKXvzFf6j3y6YSGH7kv9Dz+y9ioKc7/3HlJOgtiRJIhANHskB0EPFMHPG2ONb++1o8/sf/RjYawN4X/gwrTxdsfR6Q0nPI59Mcj5HECAgh2LdvX97sqrVr10KSJOzduxc9PfLwz1JtgeZjw0hJWby9X84NkgXQM+934rvf/a663aa+LPYlqECc450zLQGUyWZUsTaRAzTW/pUS+OhGuvj0dPcgtpMKhme27FIdKZET8xamZIqK2UinNjvMXmvFvFQaRYEPAUJQWanNTUoH0uByBVBWAv5yCfDHjwOjRrGpdIEea0bVjj07IKd6oampCWUJTdgKNgEeJ3VXQgMxzPPNg3lUq+DSCyDFnUT5AsP+i+0cykr9ADiUuGTn01WJWl0voO5+el76rD50duaHRIfCWUMIrMxtwi0nmtH/4Kex6tLPg0j0nDTmAJkguPPzSQS7FVaTJoBsog0ctGPJFaiA8bxQXaaaE7UNZtEBavA0AABaQ9RJVRygIyoHiMGYBWZVAEUiEVWoAEBraytaWlrQ0dGBaDSKO++8E++88w7a29uxceNGfP7zn0dXVxcuv/xydR/XXnst7rjjDgCA1WrF4sWLDT9erxculwuLFy+G2XyIhhROluoVwFc20SqOHLLZrFoFxiMLC9Lw2k2ol7Ryay8icFvoW+a2ijDLXWdHBrYDACJrRxDbRZ2Yjh2bIEWpMIrtWo9IxzakhzvR8nr+YysOUHvchkF46XXhXrR80IJ9392HYKcWyiCZFCwxuoiF0przpPQjEm1abkxCSiCeieeFvwBa0bR582asXbtWvc5zirbwONL02B9/n4ZGkAxj15CEa+59wrCfoRjBliF6fHO8c9Rv71OZBTaSGAEBAc/x8FnGcOdklBBY7uBTxRGShjR3JLqbLtjDiUGtAsziUVsMKMTlyrqwLl+rvtYLQkQ4MqPAaBsqKjQnIzOagVfWUJsVARQbpg5jNg1s+V/D/tUmiI4CYVcAe3ZrCd1NTU0oD2sJ6dm0GyUlNMTSPRzDY+c9BmnIpt6u/1LhtFB3Up8HBNDwV4iXp6vLziUEEfO9mmvS109nunktXnR0duUd40iuA+SSP7psXoTiGWTTdP/67sMemwmiKz8ULtitBgeI4zhj7lCBcvZSmyakVIfIXQm4qftyyEvgx0ERQO3BdkhZiTlADMYkmVUB9P7772Pp0qVYunQpAOD222/H0qVL8a1vfQuCIGDnzp247LLL0NTUhAsuuACDg4N44403sGiR9gHb0dGB3t78hNQjiRtuuAF+vx9P/fNF9TobkvDaTahItanXCRyBT6SLGcdxqC2igikU6kI6kEbf/xqnjyf79qIYQTh7tcqicDC/3FlJgg7BjgHI1THhPjz98NNq1Y0oajkQ3DBdwPW5R4oAkkTj4jUcHzYIoFUnaAMqX3zxRUNJvOs4F0QPfZxkgD6XF7b10REfyTBufzGJcIw+Dm/SFvMdXdSxmOPRBJA+5DQRSp5OkbXIkPxaCK/cEDKeiSOR0Zr8KYIoOag9ZmwvFaOB1NCYPYAAIConlkfaZKHJAYvra7Cd1NO/u943OECZYAbzyuh99g5G6JiUiC4v7sPHAJ3jpu8BVIjWfVoOVtO8eSgLaf9P2VQx3H7qfmQJ0NXVhfAwfW9MJrMh184lVyiaK+YDupyZlZU8+jN0MS52ae9bU5nmHu3uoknxPosPnT3aeewok9saRLKG3KNqtywirV6EEmlkIgth4Z1YUqxViLptoiEJWoG32WAzG99nh66EvZADpK8O1OcZqXlAsxgCq3RUwsybkcqm0BpsVfspMQHEYIzPrAqgM888E4SQvJ+HH34YVqsVTz75JLq7u5FMJtHT04NnnnkGK1euNOxj7dq1ePjhh8d8jIcffjivw/ThRHd3N/7whz8gGAziJz/7OYgcBivjRuGzm1EUNyYI+zht8jWdt0UQS42g79E+JHNKh5f3P4X3rV9Ecd9b6nW55eaQMmqTwRCxIyTSJGKEe9G6gz42L/C455571Ltkhujj6F2WIdlliMKYQD6cMAqgmxs1gXTXXXfh+eefp49h4zG/uQZ2P104hwcG0FxiQyqTxTMtPUAyjPd7qBorKiqC96ParKJAVxJ+qx8NngZawSNPVw/kjPgYC6UJ4kThL4BWCCnT3vVhsJHECLLJLBIBTRTF24MgEkEkM2xwgHIJxURkM1kkumnIzFJhwSJ/PTZlac8hdG3IC4H5XUC1zwZCgC1dQSCqE0BDu4GeTeqfwxPkAPW2aYKnqbYM3lQclix9j7OpYgi6sRFtbW2IB+SeSRWVBjdLCc/yJgssFZrQXVkloEeuAFMdIADlNVpe04jco8dr9aKzj17mbTzcldSRy2aBRCd9bTmTBeVWucGizUtnkw2eg6/O+xtq3Joj5baawJssEF3G583b7LCZjAJI7wAVeo/0lWCG24+7HBBtQP3sNVwVeAF1HlrBuXV4q3q9XWmrwWAwCnLE5QAdbWzdqn1gtbS0IFl5EgDgTH4zfHYzXGHjiAcvtLybxhIn5nLdaNsRQvAd6h4IZu0tTfftRSJDsLlfE0aZsLHjL3QuTggOxCz0gz4x3KkujCX1JVi8eLG6XWqQfsPUN/kbjCQBPomwRO+jJGaOJEYMAujCJhEVRTRfIpOh++F4oOIzFThr3sdR4qPighCCs2rp5cff70QyEsCA3A24uq4RliotzyTRmcDHq86AyIvgOE5doCabB6Q0QZwoARqgzpviAukToUcSI0gNGUeRkJSERGcCsexgwRELCoGwgGR3EkTu6mets2KRv1kVQKRrA4qKilQXLjOagUnMYEkNPY5NnQEgktMd/cPHtGOTc4CKxnCAhjq0c2JeiRUcgDL5lMmmipGwlam3b926FRl5Vl1FZZVhP4oDBADuRafT3w4rTqsVMZylAkPvAJXUNquXpbDcddrsRWc/fV1NfhOsPm17KUK3EZxF8HJyd3PZAQIAj80Y4vPILSMsfqMTItgchhAYYHRLCr1HBXOAAGDBhcCd3cDiws1cZ4oGNw2DbR2inyd20T7mTDsGg0Fh/yGzzLZt29TL8XgcH4AKjTXiRthIDOYITQ7tITQU4CRagmpjiQNn8Jux7y1NxJz3iToIDvrhvrUnjg09BPrWP6loTnm4XJmWEuyQICDjoIvd9u3bkZXvWN1UjYaGBu0u/XSh745oCdVD4SQECxU/pfZStWOyXgBVODm4LBw+OkfLISkv8mDhf9TB9xEfVtedjRqfSb1tgSsFs8BjW08I+3t1k7yLSmHyVwMCXXATnQlcWLxUvX2qeUCTbYKoUKgSbDg+jPRgOm/b2N4YUvZ3sH2Y5mkVCoGNRAjirZp4stVZsaxmOTYR2UXp+xC8lIKvmL436WAayWwCS2UB1NIZ0Bwgh+xUbHkCkOjxKDlA/jFygELd9HUqKimCl6OX53NyKXuiGiGbln+0ft3r6uXaWmNRgV4ALTrrcrz88st44puXwGvlMAIqevUOUMmc49XLmRAVw9lIFsk0vWwqMsHiyxdtgqsIbsUJlXOAAG1MjILyt9lnTAbmbc68EJghB8g8fg5QXo7QBGHTmUDJA1IEEEuAZjAmhgmgWUYvgADg9T4qDk7g9gDtNHTVT7zoIHTxc0jaoj6nxIFVXAtG5cRnuxn49FJe7YnSHyX4/U6jDZ6M5fSNkROg47z8gemiFT6bd2ilyHUL6gwCKNJHRZheAA1HU+CtVAA1+5vVfjxdA11q36amInq6fX15FIsWzMcll1yC339jMbgFLvh5C5aULME8v3a8IwM9+Ngi+rzb+wLq9SZ3CThBhKWMCpZkbxL1Se1UVnI4Al0bgLQWkhqL4TgNC05aAMmJ0vpeQKNDu/IcIACI7uLB8Un8fQ+df5YrgGKpDOJpCfF27b6NlWZ4i+oRtlRglDjBZTPA8B7Y5QGeUkhCNBHFCToBRJQcoEWXAPZiIDYE7HsNwPhl8IOjg0gHqFBqmtcEBOl7ere9CX857y/wC81I6cJK63QjTRqtYeDDx4H9a4FAhxoCA4DqIifOOussLJJf0lEiCyBdOKqkSeujkwlTERMd1EK8Jr8JJm/+R5ToKoYH8nZWD8JJuUOzToABtJM6AIgeo6PDW52wm4zb6h2gQknQxXbt3CiUIzTbKAJo1yjtoeQ41GM5GIyjACaAZpnt27cb/n5/eyu2ZesgIAu8eT8AYC9qMCo31jOlNAen0cPDGdxJ+8IAOLVGRHM2BFu95rD8vSVg2H8yFjX8rSRAh+V5VBYvDWu07NXEzZwFc2g3bhdd+IN9dOHXC6Denh70/s+f0fqTVuz6yy50rO8AyRDs2atVGM0r4kEALC4VsPXP/4Wnfn0P9nO0yu20qlUQeAHHl3jV7dvb23H5cpoo2zuqHXfCRhdRqxwiAwG2fyjnvPS0wDtK85ACr38PePuXmIgDdoAIwUjnWwUFUGxvCiSrLfq54RXFnUl0aEJtZTkHOEpR7rFhL5FzfwZ3gXdq4xtGBkawuMoDkecwGE4iPirn8bgqgOM+SS8//3Xg5XuwIPIOeGQLhsDe36olyDfPbwaC9LVze+pwQukJaCx2QvRoZe99/VquUd3gK8CTNwJ/vhj4f8ejZvRd9bZqHz0HnRI9X0cUAeS0qtt4S6sgt+9RQ2CB/oB6u8lvAu82VswBNATmURwg69gOkE8WQLw7VwC5YTUbP/oM1WMFBM64DtBhgCKAlOakDpEJIAZjIpgAmkUIIXkCaPvmTXg5u4z+0b4eANAt1iEgCyBOF3bxDW7Aax1a1dEJdV6UShnVAQKAaNy4KCficRivoAvUYJrep6iCJlNubtceZ/7i+fTxyqg4Cg+NIJvOojvSDUII0lIWna8/hujWTkS3RfHKn17Bw//1MFp/1IrWXVoS97Y6N66oLEcKAHY/D7z3W+w300WquZw+55WV2mK7p3UPTmoogo2X0B/Swks97hdhLnkBtgatL8zmLVtp4u/vz4ZH7oMT5AWgT8uxGoupCiDFxVEdoHQMIxwxhMCU6qPM6CCi+85Qr88VQCPRFIiUQaKDOnOmEhOWWkyAyYoyjxV7s3KezeAupEzawhsaCsFqEtAsT3aPDMsCyFkKLL2GJlaN7APW34df4V7cLDxbsAps8/bN6uWmpiYgJItaDxWejSUO8GYrih35YZ4aN0d7WnlqABA0broXPOSwqY86ebZMgL5WcgisWOcAcRwHn3xMmXAGTpMTPV1a3yuT3wTiym/cKbqKVAcoa/HSKjjo+hDJeOXu5ZzTa7hesHnUFhIKEyVBeywerCxfieOKj0ORtSjv9tmm3l1v+Js5QAzGxDABNIt0dXXlDV7dv2sbXkobh732WxsQhPwBHdOVse99Ga+36ZrD1TWiVJIMAiiXWDxhbEooC6ChjA0iz2H+vCYQQrC5hzoSoldEeSkVJcWVNBRCCEF6OI1oOopQKoThSAqpgfzuvbE9Max7aJ36d3etAzstZuw2m2nY5MP/xX4TXbQaPY0AgLk1utLo/bthMwtYWiaiM6glMol+Hpbi12Ct1dyEzTv2AW/+Asim4XHQ4w3yPO2PMwFTFUDqOAxFjCYjGBF41QHiOA7ehVpVUHSHHUuLTgMALCoy9sgZjiaRHuoAkUeU2BvtWChSoVPutqgOkDSwE1GdAArKvY9W1NFjkcJy6bijFChfDHx5I3Dh/UjV0Mc9jm9TBYGeDVs2qJebmrQQGDxUeDUW0/OuymfNu2+1mwdWfxO4aR1g8cA2sgOf4KloVxwgUX6NRogLDrNgGEEBAG55xpwUkuAxewxjaExFJmQc+XlVZaUlsHNU+EcFJ7Ly6ezKDYHJjpDgNia32x2+vF5MEwkgjuPw0JqH8NeP/3XCVgmzgd1kR7lD+/LAHCAGY2KYAJpFcvN/ACCdSmLToIA3B52Y/0AElz4Ww4i9AQEif6DFNQFE9ryEd1qpAOItAhJlS2AhQLGbh+gW8/YNABkpi0RClxcjd4EOwY7FVR7YPCXoiIhQqrmttVbYRLqYVVTXqnezBel1XZEuDEWSyIzQUJboFPHwnx5WFxh9ToeljCbA7vGUA5kE0lISHTkCyF9SDtFM76sshisqRHSFNdHG2eaASBZYa3QCaNd+YPszAADv/PMBAAFhYgGkn+E12W/2ud2gpWQQo4KgjpOodvNYoOtVlezehevmfBtrr1iLZn8zfvKTn+Duu+9GJpPBUCSFZK82+8rWaMN8ueqq3G3FPkKFSKJ3BwSHFgKLDNE8rJMa6HVmuRM1nPJi728All+H/oWfBQDUCsMQ+PxwktKEFADmz58PBOU2BW4qRBuK6XlX4s1fUKvdHHWK7H7g9H8HAPy76XFYkKICiBBw8us/SlxaF2gdDjcNJxKJYLFzsVEA+U0g7vzZdU1V2usQkOeomUXe0N0ZAESBh8sq5gkgmzP/fTbkABVIggaoCMoVTocTSiUYYAzpMRiMwjABNIvoBZC+zDzZtx+3PJ/G7uEsntqZwa6eMAKKA6QIoDTtsDwcpguEba4fOzkqIsoKuEC8bvELBALaDbIDFCJ2nNjgBzgOm4PaAmCttar9RGrrtA9YS4guZj2RHrT1DUGK0P346/y47trrcPXnrzY+PgeYSqnY2V1Cw2xdJhEZjo4iUL69cnY/irx0IRvsGQQhBCeUCpoDxAOEnArPyDewquQeOFz0WDd3hECyEtC4Gp6iJvo8J+EAxTIxdQq4krit8Oyzz+Ivf/mLUTBCc4CG4yNoHYpiMNSJZCyLbIwe4xwfcHO1lvuU7NmJcEJCka0IL730Ev7zP/8T99xzD373u99hJJpCskdrE1Bfa4bbSQVQqduKvbIAMgdbYdKFcqLDVFie2OAHhyw82QC9waHlqgDAIFeC/kgW5SSnTB5AKp1C+yYaLvT6vVgwvwkIy6E0OQTWUEKFgdttXFBNPFDi4NTtcOJNIO5qVHIjuF54HjU+O5CKAnIzyhG4UOzMF0A2n1Zif9Ocm4wCyGcGb+XBicbQ1uIa+vqHiB1dQSo6c8NfCj67GYK9BOqkCx5wFBBAimCwClZYxXy360hAyQMCWBNEBmMyMAE0i+gF0LXXXqteDn3wLFr263rsdLapOUCqAAr1YG2blh9hn1uGbVkqLAqFwebN1xrpGQUQvRyEAyvr6cLSMqwtJrZaG+wiFUCNukowyLqiO9yNrdt2qFfXzqEu0Xe++x2IPs2FKiqxqgMr91joArPfRb+ZN3gatG/WNh+qPXS7dCKNkZERLPJz6AxRB8jkNQHEhbn+KhxfvBTOUroAB5NAR5AAp96iOjQhxQHKmUOmRwl/2UW7oXHce++9h4svvhjXXnstmpub8cgjj6ihQ6UP0K7BPqz+6Vq82bbDkADd4OXxcdMHqKuj70eqbw9GIlREvf++lnT81FNPYTiSREpxgARgZTkPODUHqJsUIUYsMCGDhcWawxEfiYMQgiKnBcuKAZGTBaLD6HZ875cPo/xnEdz6VD9I0pgA//RrT0OK0XPorI+eBT46ABCJdnF2UiFV47ND5Dk43F7DfavdHHhepEnXAGCygjvrWwCAr1qfQ6mNqOIzxZkRh6WgA2Qr1irMBro7sHPnTgBAmYOD2eQAx3EQnFpIiueA+SX0/AwSBzpHaAWkMiQ4F5/dBHAOmPxyRZhTVM9nPYpgGMv9ORJgAojBmBpMAM0i+gToq6/WHJP0gLH783DrVgSREwILduE1Xf6PbU41RuFG3FZBHSBdJZjX68VItZYsPTqqhdGSEXr5g71DePo392Lv3r3Y3Kvt11pjVReMprmN2jHKCb9dkS7s2rVTvX7RfOq+1JTUoPIzmujyVmqL357EIHDZQ2hd8RkAWviLPhEf5nk0t6qtvQ1uLoqhmCyA/CaQjB2NJQ5UeGwwlWn3vfcDO7qtzVojRF4AshlV5BVirBL49evXq5fb29tx1VVX4WMf+xgkSVLL4GMZ6nrtHu5AekjLVan38vBmBrHk+OMAACSdRFs7DRHu2KGJxddffx3tHV1ID1HXo6jGgeviUVV8lHusIOCxj1CR8Z+rtDllmUAGCYmKqlVV9LWJCy5A1PJ8gsEgnn38bwCAv25J44WnHzE8xyf+pc1VW/OxNVr4y1Wp9rYxizwWVLhh9Rhfn2o3T2dhCTrhcdzlgKMEFikK9G9TBVDS5AXAocKTn5vmLNbOkTdefBYjIzQceWKVAEF2PU0ubdBosZNDHaGJ0kE40KEIoDEcIK/dDEg2lFxQAsEtoPj84oIdkpX3NNcFPJJgAojBmBpMAM0S+gqwhoYGVFZWYu7cuQW37dr1IW46Zzn9QxZAJNilOkC8lYelQs4VKV6M0owEW6MNnBz2On7F8YBdExVDI9rQzdDoECIpgsefegG//uUvcOKJJ+L1HTShljdzMJeZ1QWjeV4jrS4CEOqjyds9kR7s36OFcE6U6GWRF1F7ai3KP1WOU04/BfMu0hbQkcQIhuaeif0SXbxyBdAC3WDtLXu2oLujTf3b5DeBSA40ljhR6bVBKluo3vbb9QOob2jAL7/1SxBCEBBkxyRmHFyqR3GAche+Xbt25W37yiuvYNOmTWoZfJaPAciiP9Gv5v8AQIXXDA4ECxu0xb11L31dFIcDANLpNNY98Xsoo9gvbyzF8mRSdYDK3NQpU8JgH6tMwCTnTGUCGTV0t7JEQjxNcOH/BLFmzRoMDdHn9Oyzz0LKaMLsP7/9A0iS5hq+/frb6uWzzjoLCMkCyGPs8LykxgPRawytqfk/engeqJAT+Hs3q6+71VOCL390Lm5Y1YBcfEXaefHkc/9UL59Ua4GZoyeCWBxQr69w86hI7ANAQ2Cdo4oDNFYIzASStcK/2o/mXzSj+JzCAmhZ2TLceNyNuH3F7QX3cyTABBCDMTWYAJolOjs7EQ7T0mdluOuKFSsM2zid9Bvw4OAgar10MdzZMYQ7vv51nH7dN9Evj4awN9kBuY+PVLUCpVIGolvEqTefirPOOgtXfvVKCHYtfDIwpHeARrBtQEIqRRfK0dFRDIfkmVTVVnA8pzpAJR67Wt491E0X2e5INzrbNFfjTFEbZOm3+lF8XjH+36M/R6SOOkCiPKdrz+ge7A/SyjH9BzdsPtTrHKBtu7cZ8kJEv0gFULEDlV4rTHNOwZlLatUE30wmg7/+/q9IdCYQ4mnfIUR14z/+9R/Ao1cDGSpYxqoA0wuVL3zhC+rlzs5O1S3guCzAJzCUGTYIIKs8O2thlRZO6di3G4QQw34BYM/rT6uXT6qW3RQ5j6fIYUaV14YOjgoNfniPOhU+HUirAmiRO4Entqfxyu4IXnrpJXz3u98FADzxhObwAMCWXa34y1/+AgCIRCPo3korviprKtHY2KirADMKmyXVXrVBpkKNm5fL33Mol7s7932oOkAmZzH+fc18VHnzHaAinQDasHWf9pi1LtSbzoHP4oPJq50P1S4eRVGaXxWELgRmLRwC89rNIBL93+E4DiRrgsOcL5ZEXsRXln0FJ1ecXHA/RwIlthJV+LBO0AzGxDABNEvo838UAbR02TL1upq6Btx2223q3+9s3o1IiuC0h4L44Y9+hPVb2tTbnIucIHI1DDnpiyhdej0AoPyccrz88ssw1ZoMAmiPLukWiSB2DOVX2gBQy8yVb8xemxmil7oToUAIUkxCT6QHg1104eJFDvOtITq5ElqycNvIbozIfVdWllIna/fobrQGaajP4ADZ/Ti+TDvWDe9uQFe3NqzT5LMAWQsaSxwo91jBCSa0nvtrtOzch8suu0zdLtWbQoYDohynJUKn48B7vwN2/gPY8SwAnQNkLewAlZWV4dRTT1Wv7+rqgkkwwcLT14QToxghIUMIjHio87OwVFuU+9r3oqenB5GINsoEALKSdr8TS2URJYfAeJ7D0//2EVx70Rp6/dAudSiqFJYQilEXzpsNYGOv9h4+9NBDaG9vxwsvvECP0awJiLvuugvxeBxPvPAESIYK6HM+dg7Nwep4h25UPN9wjCfUeBE1+VDu1AkRN5/vAAFAhSyAejdrr7t97LBSSWn+/DWbCNSV+1BvOw2vXPEK3LZT1NvqXYA7RN+bIHGgY4SKwLEcIL/DDBATONBzimTNsJkLi6UjHY7j0OSjIejDsVcRg3G4wQTQLKEXQAsX0jAOX7MUSrnKPffcg9NOO03d5p0NG/HodoLhuJbQ2+DlsOjcevjP9KsCyOt2oeyEawAAAzHatbct1GYQQB92fAAAiCYzsGZC2DGoLZ4nnXSSetm50AmBE2Di5ZlKIg+bX5sLlR5MI56KIzpAXZ+iEhECR9ScG0UAbe6jib9FkoQlZXRm15vdbyKWiUHkRMMEb9h8OK6Uh8lKX4cP3/sQnT196s2i1wmbSUS52wqLKGiVRXY/Pv3pT6vbSYNyZ2GBp2MhACCkNdnDu78BALUEXu8ABYNB9PfT5zR//nxUV2sLfVcXDROZ5MZ+vBDFCBdRk6B50YyIkyaCN7u1ppNDXfvy3B89TqcLzXa5y7dTq4wqcVngq6O5RBjcjcoK7fXv7pUdm8gAWvq10FY0GsVll12GZJLmfflW+VC72K4e/9e//nX8/V9/V7df87E1VBzue5Ve0XSO4dgaS5xIim406MZSFAyBAVoIrH87EJHdwHEEUGlJvgA6uVpAUnDAZqLnnt+jhTmr3TxEecZbEA4MRehzHLsKzASAgwDZfcpaYDMdvR97d518F+486U6cWHHibB8Kg3HYc/R+Ehzm5DpAibSEv7dyKL/mp7j953/B5667BieddJJaHfXOu+/i95u05OTXv7oA+291YcnnF4G38IBkg8siwiTwKLVTB2E0OYqUlEJbsA28XXur9/TRb9Ab20fgQszgAD322GN47n//ivs+6YB7pRt20WbofeIu0fJD7GE7UoMpEInev67EmHOjCKBNw7Qbc12Wxzz5G+p7fe8BAGrcNarAAgBY3BAEEbUNVNiMDo7i9Za96s2ix4OGYod6TFVyaLAnEDfkUGXl5xTkBc2JCGtOEro2AF0fFMwB0uf/jCWAiERDDZxpFBEupYbATN5SdEKe2xbvVnsnhXrbDAnQJ59sDLWsWLYEPJcFwAGOnIaM/kZamZWOoqJIC6t1dtPQIIn0Y3OfsWPyBx98oF52r3Bj3idLoHRCuP/++/F/f/4/9faPfvSjwP7XgUyc9v8pP86wL4HnUFZegXpvjgPkrUUe3nrA4qbl7x1yjtF4Aqi0NO+60+sEhIhdndhed/yJau7ZmjmaexMkWp7LWFVgajfoLBWAJGvOa8Z4NDHPNw9XNl8JkT96nyODcbBgAmiWUBKgOY7DggUL8Ke32tAbTKBhwRJ8/9+uBAB4PB4sWLAAAF3Q3pXnRS1ZMAeripX+PTSEQiQbSt1UNHgtXph5+sE/EBugDpBulMFIYBSdoU5s7xyAhctgu+yWOBwO1NbW4oLLrsSaFR5wHAebYCxd9pdrYsAcNCPZp1WXLVbKtGXB4bdRAdQZp05UDWdRLXqJ0Mc0hL/oCwLYvJjfoFUzvdLSrl4W3V40lmgLn1JZ1BtMYM6cOer16QH6ugQFXssBCukEEAC899uCOUB6p6a5uRkJXWm0IoCSSfq4gq0LUlgCSVFnjneVol0eXIuRVsxtagYAZBJRvPLKK+p+br/dmGx78hI57GT3A0KOmyGYAD99bpVu7V+2u5s6QJ3tHRgdY+ar6BbhmO9AosaOX19WoQpHKU1f/3kL51ERsutf9A7zz6PvQQ71NdX43Alm2ERgRaWIZRVjhMB4XhNQXXLJ/3ghsCK/Km4UVtWKCMGuNjasqGlE1U2/xydvvhXLKrTzOATtPHCN0wcIAJCVe/tkzXkNExkMxrEJE0CzRFtbGwCgsrISaZjw67U0j+a2jzUZPqAVpyCb1VyaGy86FVya5pKE5ETYm05bjHsvpfkXHMehxE5DC7tHdyOQDBhCYFJMwksdLyEVGUEiQ9AaoIt3c3MzXSA5DjG5o7CdM36TLNN1gybDBKleLfn3lDp5QZQFUG4eQp3oRI2rBlZBazSXJ4AAwObH0lptQZPkWQecwKG0tByf+4iWNF0pJ9b2BOJwuVwoK6PiI9ZLk2NpM0S5CkyZc1VCRQm2PokhOUyoF0C5DtBAnAdvoYttW0cnoskM4gn6HARrpyEBWvCUokMRQIF2LGhuVm97/vnn1ctnnnkmFi3Rcr5OWii/rrrwl4ESKhwrbVrOUF8fDQ1u3t2mXmetO8FwN/cKNzieQ1AQcO1xSfzPn/8EUdTe04+v+TjN2dotH9v8cws+fHNdNc5qNGHoP1147/M2mnReSAABWhhMFrmw+wtvB8BhNUGwa31+RJ6GwALEqTpAdrMA0VOKqHee4b4GB2jMJGh6HkkZKuRJ1qLul8FgHNswATQLJBIJDAzQhbequgb/+ffNCMbTaCpz4tJlxkUlN1RiFYGrltIFg1i9CKVoJdm1Jy+gnZxlyux0IVVCTZW6fitSTMKrHa9CigWwezirzlJScpEAIC6PXbDnnCLVtZr4aHu3DfEOLc9leaNRACkhMIUaix8CL6DRq4keQwWYgs2HE6sEIGedEn0i1iycg+V1Wj+cSiUEFqQWiBIGi4/GISUkWQDJDpASAms6B6g+ESSbLtgHyCCALIMIxtNq9VtPdzf29IfVEBhv7UGqXxNAoqccQ0IJCG8CpBSWzNVChkpH6aKiIpSUlOCEsy8FAFgcbpyxSH5/nPkhIXqA1CGqNIfVq/p7aY5Ny35tQrtzyTmoX6xVE7pXuMHJ7+EAD1x1wRn4xZ9+Ad7Kgzfx+PwNnwd6N9F8HbMTqNdmmOlZUutHEA7YTXQcRNbqBSyugtuqlWAK4zhAdrMAXieAli1ZjC2+s/A36SzYTJoAAoAeYtyP3gEaswxeHraaTisCyMwEEIPBAMAE0KyghFEAYFfEghe29YPjgG+cvzBvXlOuAPrkQhN8UZoTE/dUIUNoXlBuB1slD+jd3ncBAHPL5qqRjWwsi7ZQG0gsgO26BGgl3AYAMRsVGfacLspVFWWw1tEFbrh7GMF3gupt8xvr5DvLDlBOb51aOy2lnqf7Jq8XQyo2H6oEAludsWza5DepJegKegcIgCEPKD2YpiEwJQdISYJ2VwEn3ogQzyMDY8UaoAkgkwDUr7sNyWC/Nt09ncIHu9pBMnIOEJ8xiEBzSR08dgs4H30tltbmlyM3y66QuPBslF39E3z3z/8HHy93aR7TAaICqAK6DuH9gwAh2NyhvQfm0gbUXnQrFi5bCP/Zftjm1KLcToXpgCgAgU7MOXUO5v98Pj75t0/SESy75HyguWcBYn63ZgCo8FgR5rTnwo3l/gBaJZjCOALIahIg2LVzd9VHz8H93v/CblIDm+IAWai7E4ATcWjHZ3SAxkuCBiSJhcAYDIYRJoBmgY6ODvUycRRhUaUbT9x8Cs5oyq+IWbhwodoPCABuXGYC+mlScdBNBYXIi+rAUgVFAO0NULHU4GuAwyIvBjEJwWQQ2eQIdgxqybN6ARS30UXJLhmTa712M3xnfQGcMhFb1kcWnwvOIrlXzBgOUK08YHOeTxNA+gGOKjYfiiWJ9jfSYfKb1DEXChUeurD1FhBAyf4k7QYdzXGAXBVAxRIMyaX5brMbZoE6BZIkYc8e2mdmro+HyGchjuyF6NIW8fe27UVW0hbfRLuWgGMun0vzTnz0eS0qzs+naW5uRkbK4v32AKzVC3DeSYu0Dt+2McJF8v4qea2p43D/MJAIoqWXhsVsdjtEXwU6sj58/KeXofIzlZCi81HlpO9LnyAAwU50R7oh2AQ0lMmvvSKA5n+88GODhlUzuteeK9QDSKG4CdDnjo0jgGwmAbxNc4BWrVqFuJyfpDhADtWx4TAiaP8jQZ0D5BkjCdpmEmAWeUAWQISwEBiDwaAwATQL6AXQkgVz8ewtp2F5XeGFTxAEXHLJJQCAlc01WFUrAElaBhxy0IXFY/bkTalWBJBCg6cBDhtdlLLy/KdEut9QAaYPgcXMdHGxSUno8dlNMJfU49wzlhuu91ZWabkeOVVgAOCXJDidtIS72U8dkCpnVcGuvLD7USxJcMwzdrM1+U1qF2YFpbleXyiBjJQ1CKDUQEqbBwZoSdDuSsBRgmG5U3SxLlepvb1dLR+fX0z/PSzhNtUBAoAX39sOIslVRYQg3kbFV3GRH4LDR/NO/FRcuFN9MHuMwra5uRlbuoOIJDPw2ExYWOEGknJoyzrGLCq5MsxPRiDIwmB0YBTh/lbsG6Uq9PjjjsO8cjcIyWBd1xsAAB93HCrlJob9oggEOtEToU5YpaMSCHRQQc3xwLw1hR9bhtfn8njHEUCCCShbpP09Tg6QzSzAWn8CAKCsvByrV69GPCWptwEwVG0FTNp5PRkHiOM4+OwmZKLzQTJOSJF5qrBiMBjHNkwAzQL6zsbz5zTkhb1yefDBB/HCCy/ghV/9h0HohOTcCbclf9FUcoAU6t31sNvpt2AplgUhBElpSA2Bmc1m2g1YJmamwsKeMpYX+RxmVGAYfzipFaUO7Viqahdo3/RlweE0OdUS97p0GrDTRXxl+Up8cckXcdfJdxV+wjYf7ITANy9nAnkBB6jYaYFJ4JAlwEA4aRRA/SmEeB5IRYBUDIjI/YRcFYDViyF5blaxLnyoz/9pLqL/Ho5Ih0EAhYb7QTL02NKDaWTj9DVsmEMfW+8AYbQVnop6wzE3Nzfj7f30NTqpwQ+e5zQBNFZejTzklJMS8JTQ4+1v78c/n3tW3SRSHEF/0ZfhWvBNxLJDIFkRC3zL1HNhQBCAYAe6IzQZvMpZRRsWAjRvZxyhAgAOr07IjRcCA7QwmMkBmPI7QCtYRQHO49eg/NqfY+1b78Htduc7QBZNsESsWkfqEDTxPFYOEEDfDyk6D5E930AmskgVVgwG49iGCaBZQO8A1daM801axmq1Ys2aNfCVGRedkLxYFppgXcgBstvpN2YiEZAUQTIziN3DdPFuamoyVAfFZHFgTxkniHvtZtwmPoFySxI/+ZTmGC1ZcUaeAOI4TnWBatIZ1cXgOR5fOuFL+EjVRwo/YZsPHOgwUHO5Vg5v8uULIJ7nUOqiwq4vZCyFTw2kEOblU3xwJx2MysnT1nkeQzb6+hUJ2gJtSICWHSBPvNMQAsuEh1UHSHF/AKCisUl9jeCXxeTIfhRVa8cEyAJoH32NTpkj7zdBXb0xBZDZAchhzqVnUHclk8rg5m/8WN1kpMg48ywdXI6F5UXqudAv5wCpAshVBYy20Y39jZiI4hKdqJ5IACmJ0OOEvwD6/llNAiwV8+D00m1zHSB95+aEjbqIxOwElAadAg+LOPZHmVIJpjQZPZr7ADEYjMnDBNAsoBdAjQ11k7+jzRj+CckuzUQCyCbaUGovhdWhOSpSTEJ4pAtpOQKmz/8BgJg85dueigFpzQXy2U1YwVORcO3X/x/OuPn78J9zC8654BN5AgjQwmB16cyEi2Hu8yzOcnA0a2EOc5kZXqs3b/Myuf9RfzABn88Hv58+Zqo/hZAoL359W+hvZ5k6wXzIQkVMEa+JLIMAkh2golS3wQGSwkPwy6G4eLsmgHy1NLTn04XAMNKG8lpNAJnNZlRW1+L9NprzowqgiRwgjgPk1gSfvf5cCC4qDoLhmLqJrcYGl9mN6O5vI7zzO0j2fQJNZS7VAeoXBZCgFgKrclQBo3KPJV994cfVH4I+P8lToAminsYzqUCpWjrhfhWhk5Cdn7FzgIC0gwogzupVhY3bJuaFgPWovYCUx2MhMAaDASaAZgVFAHEmC2oqxih7LkSuAJIX90IhML0AqnfXg+d42JzadlJMwtCgVlGUJ4AIVUb2LNH65wDwmbOo4+QRB+WL4Vy4Cq4TzkWJ21JQADW66wEAi1IpNQQ22edZLEkouaAEi5ssKP54MazV1rwqMIA6RQB1gAAtETo9ksZoRl4Y5cRxuLRREsMmKpyKdfX2+iaI8+XGjuWZHogubfGXwkOYV1ICkRcNCdCWKuqI+exmwFsHgANSYcyt0x5z3rx52N4XQTwtwe8wo6lUFjxJxQHSEoLzkMNgjU4Hyj5pDHFyHGCptqDCUY7FFeUAoYv+/HIXyhxaCGw43IOklAQHDuWOciCgCKBJCHH9+TeRA1Q0B/jabuCyP0y8W1mQxFNZ+TcVQIpTo3ds0j5ZTLor4JHDXmPl/yh4cwUQC4ExGAwwATTjEELUHCDBVQK/w1h2vG1om1q6nodBAHEIyt96CzlAZsGsioV6WYTY3Nr9s7EsBga1njL6BGgAiEvU2bCRrEEA+eNtEDiCAHEgbi7GUJj2wCl26gRQIgBItDz/G8fdhId7+nFqIpUn4MZE3q4ok4a52IxLvlyB8ivKIfKiOu1aT5m7sAACgCF5RpfqALm1fkjDchVYsaQlgisOULHLAr+Nvr4OxFBkycImhxAz4WGcWO+H1+xVHaASO4eYjQoNr90EmKzqY62oc4KTxdaJJ56ohr9ObpTzfwCdABrDAQJUAVQuZeFb5YOjUXstysrdEGwCyuxlOHUOFZoiz6Gx2KmK4SFBQAdHxUWpvRQmwaSFwLxTEEC8aexyfT12v+q2jbtbRQClJaSlLDJyY6pCOUDJihOBi38FXHi/KmxcYzRBVPA7jAKJCSAGgwEwATTjjI6OIhqleTWiu0SXnwBIWQk3v3wzbnrpJjVMYUAvIJylCGVoN2jPGK6BsvApzQZtbi0EJUUl9PRrXYXzHKA0Da3YswQIagLIHqAl4rtJNZ77sBf9YSo6yt1WwOqFkmehlHW70gksTyZp+ISf5OmmOEBJegz7TPQ18lq8BUMd5bIA6g/mC6DIYBJJDkBfvgM0xNGFtihNq74CgQB6e2ml2PxSozBt4PtRWUWbGpoSo/jimXNgiVgghamgWFJhQiAh9xSSm+8pidBzrUGUXHwHll94Lb73ve9hw75eCJBwSqMuJDhRCAxQc6jK0klwPIeyqzQRUreQXi5zlOHM+VQoLarywCzy8Fv9EHkRhOOw2UqPrcpZRTtAB+Rw7CRCYGqStLty8u/lJFAESTwtIZbS2i5YzfQx9GXrHocZWPoZoGyh5gCNkwAN5IfA7CwExmAwwATQjKPP/6ECSPtw7o32IpAMQCISNvRtyL+z2UmHYgKApxoh2TUo5AABWr+d40robCabR5fHEpMw2EcFEM/zaGpqMtw3llEEkNEB4oaoQ7InW407ntoCQoDLl1ej1G2l3/ZtXnkHchhM6cEz2fwfQHOAZGGyz6wJoEKMFQIDdInQcsdsuKkA2r59O164qwXdf+iGP0Gf69tvv63e74Qy+q9B5PBiHdePGnkoajwWRTIWgdCtLaSLKqwYjVG3SX1P/fUAgNJML2xzVmDJpbfA7/Pizu5/w+uW23BKna7KbaIyeEB1gBzxIFwmF+xz7fjVTc24ZaUJp15Hc23K7GU4ubEIf/zsStz/6RMA0KRzJQ9oo4UKuypnFe3+nEnQxPCJQloAUHcqMPdjwGlfnXjbKaCFwDJqHpDAczALigDSHB6PTux4WQiMwWAcAEwAzTB6AWT2lBgSPNtCberljQMb8+/McVqjPHcVQqnxBdA3TvoG/nzen/GRSlptZfdpeUGZUAbBbrnfzfz5sFqthvsqDpCNGHOAMEBzZHaTakhZguV1PnzvE4u123PzgJQxFLkTzsfD6gFEK4rkJowx2W3I7QGkoITA+kP0+RQshVdw0bDUr3/9a0RaYxhdN4rdm9oAAOvXr1c3W1VJxWGy8kQAQIPQj7parWKvq6sL86JaQ8d55U4EYvQ+SvdhlNHXpaH3/yBAQjCeRscrv0Uz14FqbghzrLLoySQBSQ7VTSIEhuiAmtdzwoIsfvlxG2I+eh4pQmd1cynqirQQmeIGtlipAKp0Vmr5P57q/AGshTA7gM88Aay4fuJtp4DeAVIrwEyC6vY5dALIqxNAHl0S9Hj4dC4rx2HcijEGg3HswD4JZhh9DyB3SYUhpNMWbFMvf9D/QeEdKGEwT/WEAshpdmJp6VL1MdxezYWJ7oqqsypXrlyZd9+4PGTVTowhMAzuAEAFUJXXht98Zjksou4bda4Aig4br58MHAdc/CsUL7/BcPWYDpCSAxRMgBCS3wxRL4DkvJzWjlb1qrc2UVH6xhtvqNetquUAcAiX0Llac4UBVFdrLklXVxf2btur/t1Q7kYkSfOe1JDLCVcD9iI4I624TFiHWCyGss2/1p6m0v1ZKYEHqMs3FqoAGlQFUH86bPitXJ+LIowCcvPHKqeuAmwy+T+HEKsuCTqWUwIPAHaLAJPAgeN04UUAK+r84DlgWe34uWV6B8iuE1YMBuPYhjXEmGH0DpC/pMJwm94Bag+1Yyg+ZBjSCUATQO4qhPppYm+hKrBCeLxe9XJ0p9bfp5AA0nKAskBQFm3pODBChYOlciF+f9kKlLhyZkflOUDTEEAAcNwnURw5BejSGv1NFAKLpyWEEhkUFxfD7XYjFAoh2Z9EiNd1m5YFUG9/r3rVS1sGkUwm8d57dHBsY101Kl0hwFGCgL0eJQDq+X505AigjRupS+e1Aj6vG0hT7abmpFjdwKqvAS/cga+Kf8dj0TQ8WW1wKRIB+ltJgDY7AX6c8IziokWHUG6nnbj7RAEQbeiXh7qW28sL3jW3MWaVswrofo3+MZkKsEOIPgk6twQeAEwCj3svPR6JtGQQM+cfX4HVzedM2NdH7wCx8BeDwVBgDtAMoxdApZXGvAu9AwQAG/sLhMGqlgPggNqTJ8wBysWnE0BK92JgDAGU0SVBD2yng0SHdgMggM2Ph//tfCyoKPC46jiMAwiByRRZjaJpLAFkNQlqbkh/KAGO49Su1umRNEah+8YvJ0EPDmgtAFp6kvjHc8+pIzBWLWuWty3HkJkmPleTPoMD9Lvf/U5NmF5WISAK2pPJYzMZO3uvuB4ZVxUquRF8RfoTACBLjIniWgL0BO+jQw5h6h0gUUTUU4XwRA5QzvWVvFVXAl8//uMeYhSxk0hLag5Qbq+eTy6vxmdOzhdqk2lqqE+CZgKIwWAoMAE0w+gFUEVlpeG21hB1VxYV0U6/BcNg53wf+M/9CJU2IZAMAMifuj4Wfr837zpO4LFkyRLDdYQQLQRWcQK9cvuzav4PShcAY4URVAdI7kqsJkFPXQBZRSucJi0kNFYOEGAMgwFAlVyxBQnoVnoFWtyAhe5vZMjYNfnuu7+lXl61SM71cVWgT6COipuEUV2k5eds2KAlqd+w1KwKoNyKI5isSK36OgBA4Aj6iRcfWuU5avEA/T2ZCjBAC4HFhlFuo2KoTxDQ76bixmVyFWwTABj7QvGEoCzYpwuB1Y//uIcYNQcoJRUMgR0obptJPV1ZE0QGg6HABNAMo+QA8XYPSrzaN/5YOoaBGA2PXDrvUgDjJELb/djQtwEEBPXu+ryp62Ph9+Vv562pyEuATmVTkOQEIfv8C+iV259R839Q0jz2g+SGwIJd9LdzCg0fdehDgGM5QABQllMJpndrOsPyyHrZ/YnH44hFYob7b922Q728qkl+nVzlGEmb0Eeo8Kp2ZvIe9xOrFuHKxSKihD6+vq2BgnXZVdidpYLsvzMXweaXxZnqAE2iBxCgvbYkizKRCp1+UUCfwwtgbPcHMIbAyiQJpoHtFg4UHQAAKhRJREFUWg+gWQ6BWScIgR0oAs+pDqGNjcFgMBgyTADNIJlMBt3dNKE4tweQkv/jt/qxumY1AGDXyC410TkXpVniSRUnTfrxvR5XnnHjm5u/aCr5PwBgW/QJeqHjbWD/6/Ry6YK8+6joBVAmCfR9SP+uPGHSx6lH726N7wBp4zAAnQMEoCcsh/vk/J+BgQGMRWlpKeZ55P5IrnIE42m0E/oaFZERWCwWw7a/vWUNOI5DFFQA5TlAAHhRxK3CN3Br6kv4k7QGpaVyno6aAzRJB0gQ1SrAcrl7dZ8oot9KXa3cPB895Q4tN6gqnQG6P9Cq+w6TEFg8LSFxCBwgQHtfWA8gBoOhwATQDNLT04Nsli7GQk4PICX/p95djxJ7CWpdtSAgaBloKbgvRQCdXHHypB/fZjbBbjUu0J453rztlPwfi2CB4KsHqlYAIECP7EhN1gHq/ZCWd9uLtOnoU2SyDlC5e2wHqD8sqz5ZAPX394+5n1WrVoGLygLJVY5QPI22LBUP3Ggr6uo0t+TBBx9EiZ26S4oAKuQAAUDMXolnsqeh0uuA1y+HsnJDYOP1AFKQw2BlEn3cCM9jv9zdeTwHqMhWBE7OharMZIB9rwIggMmuhdZmCaXRYSIlIZaiLtvBFkDK+8JygBgMhgITQDOIoQmiq8RQnaI4QHVuusAuL6N5IoXygAZiA9gf3A8OHFaW5ycwj4XVxBscDABwzrHnbadWgInybYsuMW4wWQeoS86TqV45ds7QBOgToccTQKVqL6B8B2goZAyB6R0gm9soWFatWgWEe9Xt9Q4QRvbjW9/6Fmpra3HvvffioosuApK0G3eEjJEDJKOEYFY3l4Czy06WWgYfpL8ncoAArRliMgyX/LQ+TNE8q/EcIBNvUsVkVUYCUvS44a2b9ntzsLDKoiSWkhCXp/Me7Fwd5X1hAojBYCgwATSD6HsAie5iYwhMcYA89QCAZWXLABSuBFPcnwVFC8Ycg1EIiyjAbLWpf3NmDkJlNm87tQLMJAugBRdpN9qLx6/o0idB6wXQNNE7QJNKgi4ggAJBJQRGBZDeAWpYbnQ/qADqo384yxCMp9GmCKDhfbj66qvR3t6Or3+dJjYrQkILgRV2gJZUeyHwHC45oUoeGQJN+Ey2CgzQXvvIIMoy1C3ZFqF5VuMJIP3tlYJO9M5y/g+giZ3RWApv7qVizn6IQmAsCZrBYCgwATSD6B0gwV1qDIHJDpAyuHRxEe0ivC+wD4QQw36mk/8DUAdIsGiLn63OhjiCedupXaBFWSz56oBKKsjGdX8ArQw+FQba36KXD4IAMvEmzZEqgDoOI0hL2fUhsFAwS6es168CYBRA/voizPPLnaZ9Piw5bjEQUUJg1AHqI/JzihQInSkCSHGAHIUdoG9esABvff2jWFHv13o5TbUMHtDCVcN7UJaWu1VnaRdpfZ5PIT67+LM4vfp0rPbM166c5SaIgCZK3m0dwfq9QzALPC5aUjnBvaaGIkwPtrBiMBhHLkwAzSC5c8CUb6WEEE0AyQ5QtYsu4OF02JAITQjBO73vAJha/g9Aq214q1YmbWuwIZoJIi2lDdvlOUAAsPRq+rv+tPEfxOIBOHmRifQB4ICqZVM6Tj1KEvRYg1AVlHEYw9Ek0lIWbrcbNjsVJdHRFPBfbUAJXfj1ITDR4cSDF1px/rIq/OEPf4CQGAWIROdjOUoQjKcRgvw6KEJFT1JxgGhocawQmEUU1GNU56VNtQwe0ARQ90aUZyTDTRM5QOfUn4NfnfUreJTWBsCsJ0ADgM2sfQx5bCb85YYTqVA8iHz8+AosrHDjvMUVE2/MYDCOCVhN6AxSXl6OJUuWYMuu/RBcWgisP9aPeCYOgRNQ46Q9aKyiFaW2UgzEB9AZ7lRDXe2hdvTH+mHiTVhaunRKj28RecTMWkjJWk/F0FB8CBVObWFQewDpHZcVN9Bk6IkcIJ6nLlBUbjRYunByC/sYLCxaCKfJiRVlK8bdrshhhkngkJYIBsJJVHltqKyqxL49+5AYToBwnNoOUe8A8Q4vzigSccbpxwGXXAL0tNAbHKWAICIYT0OQ3R0kwwAhxpwZNQRGtxkrCdqAEgKbahk8ADhlAdS/FWUuY/uC8ZKgDZQfp10+DEJgjcVOcBxQ47Pjj59biTkl44wDmSbLan34162rDvp+GQzGkcusOkDr1q3DhRdeiMrKSnAch6efftpw+913343m5mY4HA74fD6cffbZePfdd8fd54MPPohVq1bB5/Op91FGHMw2d911F15/awNqbn0EoqtIXSwV96faVQ2Tbiil4gJ1hrXcISX8dULpCVqIapJYTQJIBW2yyJkssM+jIZOBuLEsPC8JGqCLfuUJgJgz+qIQ+rEX1eMLl4kothXjtStew49O/9G42/E8h1JX4WaI2WQWw4FhdVu9A5RVx0vIgk3J/3GVgRCCYCyNiCxukE3T0n49ahL02GXweSghsHQUkNLTc4CklMEBsot2Q9PIcSk/Xrt8GITA6osdePO/PooXbzv9kIgfBoPBKMSsCqBoNIolS5bggQceKHh7U1MTHnjgAWzZsgXr169HfX091qxZg8HBwYLbA8DatWtx5ZVX4rXXXsPbb7+N2tparFmzRu2/M9sE4jRfw24W1CGi+hJ4PYoA6gp3qde910fF3EnlU8v/AQCR5+A+4RyUfOJOlH/mJxDlxX9IGVchozhANtPUBJaKXgDVnDi9feiwitZJDbAsU3oByYnQNdXa9PY9bXvUy4oDxJk4JEQvvVIRQBFFAFUgkc4iJWXVBGcA+WEw2QFKyYnFxc5JCESrLnE9HtAcoCmUwQNAmU4AlTnKJj/ks2gO4K6mQqxozuTuc4ip9NrUhogMBoMxE8xqCOy8887DeeedN+btV111leHv++67Dw899BA+/PBDnHXWWQXv89e//tXw94MPPognnngCr7zyCq699toDP+gDZDRG8228tvwS+FwBVOOiC7jeAdoxQjsWLyk1jq+YDBzHwWYxgzSdCgDIZlwQMEkHaCrYdfkbB5AAPVW0RGgqgGpratXb9rXvwylLTwGgOUCiW0SUyGIkEQAyKZ0DRJsgAgDPCyBmF7hUmIoVJQxFiCqAbr9gOQaJN384bCF4gYqgRJCGwZRp8FNJggZQLmmdqSfK/8l7/JvfALIZYLoil8FgMI5wjpgcoFQqhd/97nfweDx5s6vGIxaLIZ1Ow+8fO6kymUyqgzABIBQq3H35YDAaow6QvgKsPURnMtV5jOGI3BBYLB1T3aAmX9O0Ht8i8uq8JZKhC+5gzOioqUnQ0xZAsgNk8QBF86a3j2mgJBn3h/NL4Vs76Jy1TCaDoSHqeIluEbGsCxJ4CMjSwa1KDyCnJoDcVhGcxUUr2/QOUDoOEFpif+7SOVPLdbJ6qQBKBKYYAtNyuPQhsCkJIMAoUhkMBuMY5LCvAvvHP/4Bp9MJq9WKn//853jppZdQXDz5wZpf//rXUVVVhbPPPnvMbe699154PB71p6amZsxtD5Sg7AD5HJoDpMwAq3QYS38VB6hL7vOyN7AXBATFtuJJz//KRR9mELNUqPxj/z8wktCGg6oOkOkABVD1cpoUPUMovYCUcRj6UviOLlqBNzw8rLYVEN0iSNaCAOelG0UHgeF99LLOAfLazZo40QsgpZkgAIwxhHRM1Eqw0akJIIsbEOSxDoTAJYvUSSdAMxgMBgPAESCAVq9ejZaWFrz11ls499xzccUVV4w7y0nPj3/8YzzyyCN48skn8wZ+6rnjjjsQDAbVH33DwoON6gDZNAdIcWBK7MamfNVOuoD3R/uRklLYM0rzWOZ5p++q6AWQI3Uqal216I324t/X/jvSWbrgH7ADNPdjgLsKWHrNtI9zOpR7xm6G2NPdA8BYASa4BRBiwhCRQ08b/wy0vUFL4GtP1hwgm6mwAFIum51TF3pKInS4jyZXA5MLgXGcMQ9Idn4m6gHEYDAYDCOHvQByOByYO3cuTj75ZDz00EMQRREPPfTQhPf76U9/ih/84Ad48cUXcfzxx4+7rcVigdvtNvwcKtQcILkCLCWlMJqk5dClNuPEdL/VD7toBwFBV6QLu0d3A5h++AugITAFt8WN+z96P+yiHe/3v48fv/djALoy+Ok6QHWnALdvBxZfOu3jnA5qN+gCA1H7emhuj6EHkEcEsib0S7K42fB7+vuUW4DSBaoA8ugFkN71SUXpb/M0KpeUUviA1htq0vtRwmCCBadVnw6rYMWy0un3WmIwGIxjkcNeAOVCCDHk6xTiJz/5Cb773e/i+eefx4oVB1aGfbAJyg6QUi49FKf5KCbelDfWguM4LQwW7sKegOwA+abvAFl0DpDTImKOdw5+uOqHAIBHdz2KVzpeye8EfYRQ6aXH2xNIIJslKC0tBS/QU3yoj77OegdIdIkQOQuGoRO8/jnA6jsBoLAASurywxQxZJ5i+AvQHCBFAJldk3eRFAfIXYl/X/k1vHnlm5jjPTyquRgMBuNIYVYFUCQSQUtLC1paWgAAra2taGlpQUdHB6LRKO6880688847aG9vx8aNG/H5z38eXV1duPzyy9V9XHvttbjjjjvUv3/84x/jm9/8Jv7whz+gvr4efX196OvrQyQSyX34WSHXAVLyf0rtpQXLmPWJ0AfbAXJZaQ786trVuH7x9QCA//fB/0M4RUM70w6BzRIVHisEnkNKymIwkoQgCHAXU3EzMkBznHIdIL/NiSGiE54XP6BWRmkCSNTCU4YQmHxOWabhACk5QEE53DqVBGqH7BR66LlhFibRe4jBYDAYBmZVAL3//vtYunQpli6lHY1vv/12LF26FN/61rcgCAJ27tyJyy67DE1NTbjgggswODiIN954A4sWLVL30dHRgd7eXvXvX//610ilUvjkJz+JiooK9eenP/3pjD+/QuRWgQ3G5fwfW0nB7RUHaGP/RgSTQQicgEZv47Qf35rjACnceNyN8Fl8aAu1YevwVgAH0AdolhAFXg2DdY3SMJ6/jCaLR0YiSCaTRgfILaLY6cLmrOyenHILUHeqenuooAOkT4JWcoCm0ek6NwQ2mR5ACkoIzFM9/nYMBoPBGJNZLYM/88wz8wZ96nnyyScn3MfatWsNf7e1tR3gUR1aFFfBV8ABKoQigNZ3rwcA1LnrYBEm0WtmDPQOkF4AOc1O3LTkJvzwvR+q1x1pDhAAVPls6A7E0TUaw/I6H4rLi7H/w/0AgN7eXqMD5BZR7nThH9mTceaZF+OTZxjDpYYQWKZQEvSBOEByCCzUI+9jCiJq0SVA6zpgyZVTf1wGg8FgADgCc4COdHIdoIkEkFIJplRmHUj+D5DjAFmN+veKpivUxwMOIAl6FqmW84C6A9QBKq/UqqO6uroMDpDZbUG5xwGAQ0fKbZzxhbFygPQO0AEkQSshMMhfAKYigKqWAze9DjSeMfXHZTAYDAYAJoBmnEDUmAM0Vgm8guIAKRxI/g8AWA05QMbBnSbBhK8s+4r695GWBA0A1T56zEoITF8J1t3drTlAHGDzONT5Yf2h/MT6iQXQQUiCVphMCTyDwWAwDhpHTCfoo4G0lEU4SccXKFVgyhiKsXKAyp3lEDgBEqFdfw9UAFlMOgFkyX/7z6k/B691voZQKoQqZ1Xe7Yc7VbIA6pYFkH4eWHd3t+oAiS4RVpNNnR82IHeP1mPoA0QKVIFNpYFhLkoOkMJ09sFgMBiMacME0AyiLKiA7CpAc4DGCoGZeBPKHeXojtBhrgccAhPHDoEBAM/x+PHpPz6gx5hNqn00bNc1SkOGjXVawnhXV5fqAAluATbRqjpAA+EJHCCpQBWY6gAdSAhMhjlADAaDMaOwENgMEpDzf9xWEQJP800mCoEBWhjMYXLkjcuYKnoHyFnAATrSqdLlABFCMKdO64/z3HPPqT2kRI8Ih8muDi/NDYGNRFPq+zVhDtCBJEErMAeIwWAwZhQmgGaQgDoHjIa/YukYwmm6oOZ2gdaj9AKa551XsFfQVJjIATrSqfBawXFAIp3FcDSFRXMXwVxOX++9e/eq24kuEQ6TDaVyCGw4mkRGyqq33/3sNqQlgvllLlR6bJrIKVQFNp0cILMT4LT3Ykpl8AwGg8E4YJgAmkGqfDZ864KF+MLpNCyj9ACyi3Y4xwmjLCxaCAA4ofSEAz4GvQPkPgoFkEUUUCq7Ot2jcdjMNsz76jwIbsGwnegRYRNtKHJYIPAcCAGGo9TxeWFbH57d3AOB5/CTy48Hz3NjzAKT84GmE77iOKMLxBwgBoPBmFGOvhXwMKbCY8P1pzWof09UAq9wydxLUOuqxXHFxx3wMRgbIZrG2fLIpdpnR38oia7ROJbUeFHWUIbkfyUx8vMRjAzRjtCKABJ4DsVOM/pDSQyEkrCIPL7xFG0E+YXTG3F8tZfuVBE56RggZQBBBKJ0vIbamHCq2LxATN4HE0AMBoMxozAHaBaZTP4PQBOhT6o46aD05TnaQ2CAPg+IJkK7LW5Yq6y4//H7UVU/B6LHBc9JHlhFmgCtJEJ3jMTw1cdaMBRJYm6pE7eepUs41zt0SgfoiNxTyDG+gB0TfSUYE0AMBoMxozABNItMNAbjUHC0J0ED+b2AXPKoipKGEnz7Ty+g/o4vwFxkVvscKaXwX3/yQ6zdNQizyOOnly8xuGUQzYAsmJAMA1IaiFM3Cc6y6R2oIQTmGXs7BoPBYBx0js4V8AhhsiGwg4lFLDwL7GiiKkcAecxUXARTQYzG0uBEmoyuOEAlsgMUTmTgsoh48LoVOKHGm79jiwvIJKgA4uXXjhPyK7omi74UnjlADAaDMaMwB2iGyWQzGElQ50ANgc2CA2Q3C2op/tGG0gtIaYbokd2VYDKI4UgKHEeTnRUBVOOngqnIYcYjXzgZJzcWFd6xPhFaCX85SwF+mv9GLAmawWAwZo2j0wI4THm75218+61vY75vPn551i/RH6OLaOl0c0imgZID5DpK838ALQeoazQGQgi8Fi8AIJAI0EovnjpASgjsqhNrwXMcPr64ArVF4+RZ6QVQIkgvOw/gvdPnALEyeAaDwZhRjt5V8DCkwlGB3mgv+qJ96Ax3qjlA4/UAOtjUFdkh8BzmlR69joOSAxRNSQjG0/DKQiOQDGA4mlQdIJtAt/Pazbj5jDkF92VAqQRLhoAUTbCedgI0oHOAOMA0jV5CDAaDwZg2TADNIPWeenyk8iN4s+dNPLbzsUlXgR1MKr02rPvP1fDLs8iORqwmAcVOM4YiKXSNxvNCYLAZc4Amjd4BUkrgp5sADWg5QBbX9MNoDAaDwZgW7FN3hrmy+UoAwP/u/l8kJDqAcyZzgAAaIrKZhYk3PIKpUmeCxdUQ2FB8BAPhBLicENikMeQAyVPlD0YIjOX/MBgMxozDBNAMc1rVaah2ViOWkXvUmN1TdyIYE1KtywNSBNDOgX4k0llYzBkAB+oAHQQBVDSX/vY3jr8dg8FgMA46TADNMAIv4NPNn1b/nskS+GMJJQ/ogdf24n/eoqHGFImgxGVBQwkN/826A1TSBHzhdeCKP09/HwwGg8GYFkwAzQKXzL1EXXxnOvx1rHDB8ZUocVkQiKXx7EZascULMfzPDSuRBZ38Pn0BFNIJoAPIAQKAyhMAu//A9sFgMBiMKcME0CzgsXhwfuP5AIBKZ+UsH83RyXHVHrz99Y/i4c+txEWL5VATR1DuAxIZmntlFaYaAlOqwHQO0Ay2MGAwGAzGwYNVgc0Sty2/DUXWIlwy95LZPpSjFlHgceb8Upw5vxQn/tWGeCaOYDKoJp9P2wGKDgHJg9AHiMFgMBizBhNAs4Tb7MYtS2+Z7cM4ZvBavIhn4ggkA4hnaIfoaSdBD++jvwUzYGUzvBgMBuNIhIXAGMcEajfogyGAIn30t7MM4I7OcSIMBoNxtMMEEOOYQGmGqIwfAQC7OM7Yi0Lk9uth4S8Gg8E4YmECiHFMoDhAfdE+9TqLYJnaTiw587pYAjSDwWAcsTABxDgmUBwgRQBZBAsEfordsJkDxGAwGEcNTAAxjglyHaBpdd/OE0AH2AOIwWAwGLMGE0CMYwJFAPVGewFMowcQAIhWgNcVTjIHiMFgMI5YmABiHBPkhsCm3AMIoBVfeheICSAGg8E4YmECiHFMoDhA6ew0J8ErGAQQC4ExGAzGkQoTQIxjAkUAKUwrBwgwVoI52Bw3BoPBOFJhAohxTJArgJgDxGAwGMc2TAAxjgk8OSMrppUEDWgCyGQHLM4DPCoGg8FgzBZMADGOCVwmFwRO6/tjMx2gA8QSoBkMBuOIhgkgxjEBx3FqJRhwEBwgFv5iMBiMIxomgBjHDHoBdMA5QCwBmsFgMI5omABiHDPoE6GnLYDcVfS3v+HAD4jBYDAYs4Y48SYMxtGBIQQ23TL4ZdcCNh8wb81BOioGg8FgzAZMADGOGfQO0LRzgMwOYMmnD84BMRgMBmPWYCEwxjGDIQQ23SowBoPBYBwVzKoAWrduHS688EJUVlaC4zg8/fTThtvvvvtuNDc3w+FwwOfz4eyzz8a777474X7//ve/Y+HChbBYLFi4cCGeeuqpQ/QMGEcSB6UKjMFgMBhHBbMqgKLRKJYsWYIHHnig4O1NTU144IEHsGXLFqxfvx719fVYs2YNBgcHx9zn22+/jU996lO45pprsHnzZlxzzTW44oorJiWcGEc3egfILtpn70AYDAaDMetwhBAy2wcB0D4tTz31FC655JIxtwmFQvB4PHj55Zdx1llnFdzmU5/6FEKhEP7v//5Pve7cc8+Fz+fDI488MqljUR4nGAzC7XZPfAfGEcHL7S/jtrW3AQB+c/Zv8JGqj8zyETEYDAbjYDKV9fuIyQFKpVL43e9+B4/HgyVLloy53dtvv401a4wVOueccw7eeuutMe+TTCYRCoUMP4yjj4NSBcZgMBiMo4LDXgD94x//gNPphNVqxc9//nO89NJLKC4uHnP7vr4+lJUZu/SWlZWhr69vzPvce++98Hg86k9NTc1BO37G4cNB6QPEYDAYjKOCw14ArV69Gi0tLXjrrbdw7rnn4oorrsDAwMC49+E4zvA3ISTvOj133HEHgsGg+tPZ2XlQjp1xeGEog2cOEIPBYBzTHPYCyOFwYO7cuTj55JPx0EMPQRRFPPTQQ2NuX15enuf2DAwM5LlCeiwWC9xut+GHcfRhcIAE5gAxGAzGscxhL4ByIYQgmUyOefspp5yCl156yXDdiy++iFNPPfVQHxrjMMckmHB+4/lYWb4SZQ42zJTBYDCOZWa1E3QkEsHevXvVv1tbW9HS0gK/34+ioiJ8//vfx0UXXYSKigoMDw/j17/+Nbq6unD55Zer97n22mtRVVWFe++9FwBw66234vTTT8ePfvQjXHzxxXjmmWfw8ssvY/369TP+/BiHHz9c9cPZPgQGg8FgHAbMqgB6//33sXr1avXv22+/HQBw3XXX4Te/+Q127tyJP/3pTxgaGkJRURFWrlyJN954A4sWLVLv09HRAZ7XjKxTTz0Vjz76KL75zW/irrvuwpw5c/DYY4/hpJNOmrknxmAwGAwG47DmsOkDdDjB+gAxGAwGg3HkcVT2AWIwGAwGg8E4WDABxGAwGAwG45iDCSAGg8FgMBjHHEwAMRgMBoPBOOZgAojBYDAYDMYxBxNADAaDwWAwjjmYAGIwGAwGg3HMwQQQg8FgMBiMYw4mgBgMBoPBYBxzMAHEYDAYDAbjmIMJIAaDwWAwGMccTAAxGAwGg8E45pjVafCHK8p82FAoNMtHwmAwGAwGY7Io6/Zk5rwzAVSAcDgMAKipqZnlI2EwGAwGgzFVwuEwPB7PuNtwZDIy6Rgjm82ip6cHLpcLHMcdlH2GQiHU1NSgs7MTbrf7oOyTcfTBzhPGRLBzhDEZjtXzhBCCcDiMyspK8Pz4WT7MASoAz/Oorq4+JPt2u93H1MnImB7sPGFMBDtHGJPhWDxPJnJ+FFgSNIPBYDAYjGMOJoAYDAaDwWAcczABNENYLBZ8+9vfhsVime1DYRzGsPOEMRHsHGFMBnaeTAxLgmYwGAwGg3HMwRwgBoPBYDAYxxxMADEYDAaDwTjmYAKIwWAwGAzGMQcTQAwGg8FgMI45mACaAuvWrcOFF16IyspKcByHp59+2nB7JBLBLbfcgurqathsNixYsAD//d//bdjmzDPPBMdxhp9Pf/rThm1GR0dxzTXXwOPxwOPx4JprrkEgEDjEz45xsJjoPOnv78dnP/tZVFZWwm6349xzz8WePXsM2ySTSXz5y19GcXExHA4HLrroInR1dRm2YefJkcvBOEfYZ8nRzb333ouVK1fC5XKhtLQUl1xyCXbt2mXYhhCCu+++G5WVlbDZbDjzzDOxbds2wzbss2RsmACaAtFoFEuWLMEDDzxQ8PbbbrsNzz//PP7nf/4HO3bswG233YYvf/nLeOaZZwzb3Xjjjejt7VV/fvvb3xpuv+qqq9DS0oLnn38ezz//PFpaWnDNNdccsufFOLiMd54QQnDJJZdg//79eOaZZ7Bp0ybU1dXh7LPPRjQaVbf76le/iqeeegqPPvoo1q9fj0gkggsuuACSJKnbsPPkyOVgnCMA+yw5mnn99dfxb//2b3jnnXfw0ksvIZPJYM2aNYZz4Mc//jHuu+8+PPDAA9iwYQPKy8vxsY99TJ1nCbDPknEhjGkBgDz11FOG6xYtWkS+853vGK5btmwZ+eY3v6n+fcYZZ5Bbb711zP1u376dACDvvPOOet3bb79NAJCdO3celGNnzBy558muXbsIALJ161b1ukwmQ/x+P3nwwQcJIYQEAgFiMpnIo48+qm7T3d1NeJ4nzz//PCGEnSdHE9M5RwhhnyXHGgMDAwQAef311wkhhGSzWVJeXk5++MMfqtskEgni8XjIb37zG0II+yyZCOYAHUROO+00PPvss+ju7gYhBK+99hp2796Nc845x7DdX//6VxQXF2PRokX42te+ZlDrb7/9NjweD0466ST1upNPPhkejwdvvfXWjD0XxqEhmUwCAKxWq3qdIAgwm81Yv349AOCDDz5AOp3GmjVr1G0qKyuxePFi9Rxg58nRy2TOEQX2WXLsEAwGAQB+vx8A0Nrair6+PsPnhMViwRlnnKG+v+yzZHzYMNSDyP33348bb7wR1dXVEEURPM/j97//PU477TR1m6uvvhoNDQ0oLy/H1q1bcccdd2Dz5s146aWXAAB9fX0oLS3N23dpaSn6+vpm7LkwDg3Nzc2oq6vDHXfcgd/+9rdwOBy477770NfXh97eXgD0HDCbzfD5fIb7lpWVqecAO0+OXiZzjgDss+RYghCC22+/HaeddhoWL14MAOp7WFZWZti2rKwM7e3t6jbss2RsmAA6iNx///1455138Oyzz6Kurg7r1q3Dl770JVRUVODss88GQGP2CosXL8a8efOwYsUKbNy4EcuWLQMAcByXt29CSMHrGUcWJpMJf//733HDDTfA7/dDEAScffbZOO+88ya8b+45wM6To5PJniPss+TY4ZZbbsGHH36Y5wAC+e/xZN5f9llCYSGwg0Q8Hsedd96J++67DxdeeCGOP/543HLLLfjUpz6Fn/70p2Peb9myZTCZTGqFR3l5Ofr7+/O2GxwczFP6jCOT5cuXo6WlBYFAAL29vXj++ecxPDyMhoYGAPQcSKVSGB0dNdxvYGBAPQfYeXJ0M9E5Ugj2WXJ08uUvfxnPPvssXnvtNVRXV6vXl5eXA0CeS5P7OcE+S8aGCaCDRDqdRjqdBs8bX1JBEJDNZse837Zt25BOp1FRUQEAOOWUUxAMBvHee++p27z77rsIBoM49dRTD83BM2YFj8eDkpIS7NmzB++//z4uvvhiAHTxM5lMaigDAHp7e7F161b1HGDnybHBWOdIIdhnydEFIQS33HILnnzySbz66qt54lcJf+o/J1KpFF5//XX1/WWfJRMwW9nXRyLhcJhs2rSJbNq0iQAg9913H9m0aRNpb28nhNCqjEWLFpHXXnuN7N+/n/zxj38kVquV/PrXvyaEELJ3715yzz33kA0bNpDW1lbyz3/+kzQ3N5OlS5eSTCajPs65555Ljj/+ePL222+Tt99+mxx33HHkggsumJXnzJg6E50njz/+OHnttdfIvn37yNNPP03q6urIpZdeatjHzTffTKqrq8nLL79MNm7cSD760Y+SJUuWsPPkKOFAzxH2WXL088UvfpF4PB6ydu1a0tvbq/7EYjF1mx/+8IfE4/GQJ598kmzZsoVceeWVpKKigoRCIXUb9lkyNkwATYHXXnuNAMj7ue666wghhPT29pLPfvazpLKyklitVjJ//nzys5/9jGSzWUIIIR0dHeT0008nfr+fmM1mMmfOHPKVr3yFDA8PGx5neHiYXH311cTlchGXy0WuvvpqMjo6OsPPljFdJjpPfvGLX5Dq6mpiMplIbW0t+eY3v0mSyaRhH/F4nNxyyy3E7/cTm81GLrjgAtLR0WHYhp0nRy4Heo6wz5Kjn0LnBwDyxz/+Ud0mm82Sb3/726S8vJxYLBZy+umnky1bthj2wz5LxoYjhJCZ85sYDAaDwWAwZh+WA8RgMBgMBuOYgwkgBoPBYDAYxxxMADEYDAaDwTjmYAKIwWAwGAzGMQcTQAwGg8FgMI45mABiMBgMBoNxzMEEEIPBYDAYjGMOJoAYDMZhx913340TTjhhtg9jWjz88MPwer2zfRgMBmMCWCNEBoMxo0w0Yfq6667DAw88gGQyiaKiohk6qoNHPB5HOBxGaWnpbB8Kg8EYByaAGAzGjKKfXv3YY4/hW9/6Fnbt2qVeZ7PZ4PF4ZuPQGAzGMQQLgTEYjBmlvLxc/fF4POA4Lu+63BDYZz/7WVxyySX4wQ9+gLKyMni9Xtxzzz3IZDL4j//4D/j9flRXV+MPf/iD4bG6u7vxqU99Cj6fD0VFRbj44ovR1tY25rFJkoQbbrgBDQ0NsNlsmD9/Pn7xi1+otycSCSxatAhf+MIX1OtaW1vh8Xjw4IMPAsgPgW3evBmrV6+Gy+WC2+3G8uXL8f777x/Yi8hgMA4YJoAYDMYRwauvvoqenh6sW7cO9913H+6++25ccMEF8Pl8ePfdd3HzzTfj5ptvRmdnJwAgFoth9erVcDqdWLduHdavXw+n04lzzz0XqVSq4GNks1lUV1fj8ccfx/bt2/Gtb30Ld955Jx5//HEAgNVqxV//+lf86U9/wtNPPw1JknDNNddg9erVuPHGGwvu8+qrr0Z1dTU2bNiADz74AF//+tdhMpkOzYvEYDAmz2xOYmUwGMc2f/zjH4nH48m7/tvf/jZZsmSJ+vd1111H6urqiCRJ6nXz588nq1atUv/OZDLE4XCQRx55hBBCyEMPPUTmz59Pstmsuk0ymSQ2m4288MILkz7GL33pS+Syyy4zXPfjH/+YFBcXky9/+cukvLycDA4OjvmcXC4Xefjhhyf9eAwGY2ZgDhCDwTgiWLRoEXhe+8gqKyvDcccdp/4tCAKKioowMDAAAPjggw+wd+9euFwuOJ1OOJ1O+P1+JBIJ7Nu3b8zH+c1vfoMVK1agpKQETqcTDz74IDo6Ogzb/Pu//zvmz5+PX/7yl/jjH/+I4uLiMfd3++234/Of/zzOPvts/PCHPxz3sRkMxszBBBCDwTgiyA0bcRxX8LpsNguAhrOWL1+OlpYWw8/u3btx1VVXFXyMxx9/HLfddhuuv/56vPjii2hpacHnPve5vJDZwMAAdu3aBUEQsGfPnnGP++6778a2bdtw/vnn49VXX8XChQvx1FNPTfXpMxiMg4w42wfAYDAYh4Jly5bhscceQ2lpKdxu96Tu88Ybb+DUU0/Fl770JfW6Qo7N9ddfj8WLF+PGG2/EDTfcgLPOOgsLFy4cc79NTU1oamrCbbfdhiuvvBJ//OMf8YlPfGLqT4rBYBw0mAPEYDCOSq6++moUFxfj4osvxhtvvIHW1la8/vrruPXWW9HV1VXwPnPnzsX777+PF154Abt378Zdd92FDRs2GLb51a9+hbfffht//vOfcdVVV+GTn/wkrr766oKJ1fF4HLfc8v/buUMbBcIoCqM3wU0PIEmmAmrAjgCHQI1Yi0TQxNQzIUHRAJYCJsFhV6wim00wmH3nFPAnz3254v/KOI653++5XC65Xq9p2/YjNwPvE0DAv9Q0Tc7ncxaLRbquS9u22e/3eT6ffy5Cfd+n67pst9usVqtM0/SyBt1utxwOhwzDkPl8nuQniB6PR47H46/3ZrNZpmnKbrfLcrnMZrPJer3O6XT6zNHA23yECACUYwECAMoRQABAOQIIAChHAAEA5QggAKAcAQQAlCOAAIByBBAAUI4AAgDKEUAAQDkCCAAoRwABAOV8A7XTQZUXF9/3AAAAAElFTkSuQmCC\n", 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "for name, ds in ddict.items():\n", " # construct yearly global mean timeseries\n", " mean_temp = ds.tos.mean(['x', 'y']).coarsen(time=12).mean()\n", " plt.figure()\n", " mean_temp.plot(hue='member_id')\n", " # lets also plot the average over all members\n", " mean_temp.mean('member_id').plot(color='k', linewidth=2)\n", " plt.title(ds.attrs['source_id']) #Extract the model name right from the dataset metadata\n", " plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "But wait! This is not exactly right. We need to weight the spatial mean by the area of each grid cell, since the area varies based on the position on the globe (and the particularities of the curvilinear grid used in each model). But we can easily query the cell area (by modifying the query from above slightly) and then match them to the data using xmip" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "--> The keys in the returned dictionary of datasets are constructed as follows:\n", "\t'activity_id.institution_id.source_id.experiment_id.table_id.grid_label'\n" ] }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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the cell area is a different variable in the collection\n", " table_id='Ofx', # since area is not varying in time we need to specify a different table_id\n", " experiment_id='historical', # Same as before\n", " grid_label='gn', # Same as before\n", " source_id=['IPSL-CM6A-LR', 'MRI-ESM2-0', 'GFDL-ESM4'], # Same as before\n", " member_id=['r1i1p1f1', 'r2i1p1f1', 'r3i1p1f1'], # Same as before\n", ")\n", "# read all datasets into a dictionary (make sure to apply the same preprocessing as before!)\n", "ddict_area = cat_area.to_dataset_dict(\n", " preprocess=combined_preprocessing,\n", " xarray_open_kwargs={'use_cftime':True}\n", ") " ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['CMIP.NOAA-GFDL.GFDL-ESM4.historical.Ofx.gn',\n", " 'CMIP.IPSL.IPSL-CM6A-LR.historical.Ofx.gn',\n", " 'CMIP.MRI.MRI-ESM2-0.historical.Ofx.gn']" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "list(ddict_area.keys())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can inspect the new dictionary `ddict_area` and will find that the structure is very similar to the one for surface temperature above." ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/srv/conda/envs/notebook/lib/python3.9/site-packages/xmip/postprocessing.py:593: UserWarning: CMIP.NOAA-GFDL.GFDL-ESM4.historical.none.Omon.gn.none.tos:`metric` dimensions ['member_id:1'] do not match `ds` ['member_id:3']. Aligning the data on `inner`\n", " warnings.warn(msg + \" Aligning the data on `inner`\")\n" ] } ], "source": [ "ddict_w_area = match_metrics(ddict, ddict_area, 'areacello', dim_length_conflict='align')" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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       "Dimensions:         (x: 720, y: 576, time: 1980, member_id: 1,\n",
       "                     dcpp_init_year: 1, vertex: 4, bnds: 2)\n",
       "Coordinates: (12/13)\n",
       "  * x               (x) float64 -299.8 -299.2 -298.8 ... 58.75 59.25 59.75\n",
       "  * y               (y) float64 -77.91 -77.72 -77.54 ... 89.47 89.68 89.89\n",
       "  * time            (time) object 1850-01-16 12:00:00 ... 2014-12-16 12:00:00\n",
       "  * member_id       (member_id) object 'r1i1p1f1'\n",
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       "    lat             (y, x) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    ...              ...\n",
       "    lon             (y, x) float32 dask.array<chunksize=(576, 720), meta=np.ndarray>\n",
       "    lon_verticies   (y, x, vertex) float32 dask.array<chunksize=(576, 720, 4), meta=np.ndarray>\n",
       "    time_bounds     (time, bnds) object dask.array<chunksize=(1980, 2), meta=np.ndarray>\n",
       "    lon_bounds      (bnds, y, x) float32 dask.array<chunksize=(1, 576, 720), meta=np.ndarray>\n",
       "    lat_bounds      (bnds, y, x) float32 dask.array<chunksize=(1, 576, 720), meta=np.ndarray>\n",
       "    areacello       (member_id, dcpp_init_year, y, x) float32 dask.array<chunksize=(1, 1, 576, 720), meta=np.ndarray>\n",
       "Dimensions without coordinates: vertex, bnds\n",
       "Data variables:\n",
       "    tos             (member_id, dcpp_init_year, time, y, x) float32 dask.array<chunksize=(1, 1, 64, 576, 720), meta=np.ndarray>\n",
       "Attributes: (12/48)\n",
       "    Conventions:                      CF-1.7 CMIP-6.0 UGRID-1.0\n",
       "    activity_id:                      CMIP\n",
       "    branch_method:                    standard\n",
       "    branch_time_in_child:             0.0\n",
       "    comment:                          <null ref>\n",
       "    contact:                          gfdl.climate.model.info@noaa.gov\n",
       "    ...                               ...\n",
       "    intake_esm_attrs:experiment_id:   historical\n",
       "    intake_esm_attrs:table_id:        Omon\n",
       "    intake_esm_attrs:variable_id:     tos\n",
       "    intake_esm_attrs:grid_label:      gn\n",
       "    intake_esm_attrs:_data_format_:   zarr\n",
       "    intake_esm_dataset_key:           CMIP.NOAA-GFDL.GFDL-ESM4.historical.Omo...
" ], "text/plain": [ "\n", "Dimensions: (x: 720, y: 576, time: 1980, member_id: 1,\n", " dcpp_init_year: 1, vertex: 4, bnds: 2)\n", "Coordinates: (12/13)\n", " * x (x) float64 -299.8 -299.2 -298.8 ... 58.75 59.25 59.75\n", " * y (y) float64 -77.91 -77.72 -77.54 ... 89.47 89.68 89.89\n", " * time (time) object 1850-01-16 12:00:00 ... 2014-12-16 12:00:00\n", " * member_id (member_id) object 'r1i1p1f1'\n", " * dcpp_init_year (dcpp_init_year) float64 nan\n", " lat (y, x) float32 dask.array\n", " ... ...\n", " lon (y, x) float32 dask.array\n", " lon_verticies (y, x, vertex) float32 dask.array\n", " time_bounds (time, bnds) object dask.array\n", " lon_bounds (bnds, y, x) float32 dask.array\n", " lat_bounds (bnds, y, x) float32 dask.array\n", " areacello (member_id, dcpp_init_year, y, x) float32 dask.array\n", "Dimensions without coordinates: vertex, bnds\n", "Data variables:\n", " tos (member_id, dcpp_init_year, time, y, x) float32 dask.array\n", "Attributes: (12/48)\n", " Conventions: CF-1.7 CMIP-6.0 UGRID-1.0\n", " activity_id: CMIP\n", " branch_method: standard\n", " branch_time_in_child: 0.0\n", " comment: \n", " contact: gfdl.climate.model.info@noaa.gov\n", " ... ...\n", " intake_esm_attrs:experiment_id: historical\n", " intake_esm_attrs:table_id: Omon\n", " intake_esm_attrs:variable_id: tos\n", " intake_esm_attrs:grid_label: gn\n", " intake_esm_attrs:_data_format_: zarr\n", " intake_esm_dataset_key: CMIP.NOAA-GFDL.GFDL-ESM4.historical.Omo..." ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ddict_w_area['CMIP.NOAA-GFDL.GFDL-ESM4.historical.Omon.gn']" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Ok the dataset now has a matching `areacello` coordinate that we can use to weight our results. To see the effect of area weighting we will plot both timeseries (only the member average)." ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=[10, 4])\n", "for i, (name, ds) in enumerate(ddict_w_area.items()):\n", " plt.subplot(1,3,i+1)\n", " # construct yearly global mean timeseries\n", " mean_temp = ds['tos'].mean(['x', 'y']).coarsen(time=12).mean()\n", " weights = ds.areacello.fillna(0) # ocean area can contain nans, which are not allowed for weighting\n", " mean_temp_weighted = ds['tos'].weighted(weights).mean(['x', 'y']).coarsen(time=12).mean()\n", " # lets look at the difference\n", " mean_temp.mean('member_id').plot(label = 'unweighted', color='r')\n", " mean_temp_weighted.mean('member_id').plot(label = 'weighted', color='b')\n", " plt.title(ds.attrs['source_id'])\n", " plt.legend()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Quite the difference! This makes sense when we think about the fact that generally cells near the poles become smaller, and if we do a naive mean, these will count too strongly into the global value and reduce the resulting temperature." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Ok lets finish by making a single nice plot of all models. In order to compare the models better we will look at the anomaly of temperature with regard to the period of 1850-1900." ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Global average sea surface temperature')" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure()\n", "timeseries_dict = {}\n", "for name, ds in ddict_w_area.items():\n", " # construct yearly global mean timeseries\n", " weights = ds.areacello.fillna(0)\n", " mean_temp_weighted = ds['tos'].weighted(weights).mean(['x', 'y']).coarsen(time=12).mean()\n", " anomaly = mean_temp_weighted - mean_temp_weighted.sel(time=slice('1850', '1900')).mean('time')\n", " anomaly.mean('member_id').plot(label = ds.attrs['source_id'])\n", "plt.legend()\n", "plt.ylabel('Global temperature anomaly \\n with respect to preindustrial period')\n", "plt.title('Global average sea surface temperature')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Feel free to add new models to this or maybe change the experiment, to see how each model predicts future climates." ] } ], "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": "3.10.8" }, "vscode": { "interpreter": { "hash": "5057447e008afe6adaa3e32ed42dedd411098e643f05a1f12413525ec9f69cd7" } } }, "nbformat": 4, "nbformat_minor": 4 }