diff --git a/Dockerfile b/Dockerfile index 4f5192d..8a44890 100644 --- a/Dockerfile +++ b/Dockerfile @@ -33,7 +33,7 @@ RUN mkdir -p /conf # RUN pip-compile --extra-index-url=https://packages.dea.ga.gov.au/ --output-file=/conf/requirements.txt /conf/requirements.in COPY requirements.txt /conf/ RUN pip install -r /conf/requirements.txt \ - && pip install --no-cache-dir awscli + && pip install --no-cache-dir awscli==1.33.37 # Copy source code and install it RUN mkdir -p /code diff --git a/intertidal/elevation.py b/intertidal/elevation.py index 89547c9..20c454d 100644 --- a/intertidal/elevation.py +++ b/intertidal/elevation.py @@ -32,10 +32,45 @@ round_date_strings, ) from intertidal.tide_modelling import pixel_tides_ensemble -from intertidal.extents import extents, ocean_connection +from intertidal.extents import extents#, ocean_connection from intertidal.exposure import exposure from intertidal.tidal_bias_offset import bias_offset +def ocean_connection(water, ocean_da, connectivity=2): + """ + Identifies areas of water pixels that are adjacent to or directly + connected to intertidal pixels. + + Parameters: + ----------- + water : xarray.DataArray + An array containing True for water pixels. + ocean_da : xarray.DataArray + An array containing True for ocean pixels. + connectivity : integer, optional + An integer passed to the 'connectivity' parameter of the + `skimage.measure.label` function. + + Returns: + -------- + ocean_connection : xarray.DataArray + An array containing the a mask consisting of identified + ocean-connected pixels as True. + """ + + # First, break `water` array into unique, discrete + # regions/blobs. + blobs = xr.apply_ufunc(label, water, 0, False, connectivity) + + # For each unique region/blob, use region properties to determine + # whether it overlaps with a feature from `intertidal`. If + # it does, then it is considered to be adjacent or directly connected + # to intertidal pixels + ocean_connection = blobs.isin( + [i.label for i in regionprops(blobs.values, ocean_da.values) if i.max_intensity] + ) + + return ocean_connection def ds_to_flat( satellite_ds, @@ -1235,7 +1270,7 @@ def intertidal_cli( ds, tide_m = elevation( satellite_ds, valid_mask=topobathy_mask, - ocean_mask=ocean_mask, + # ocean_mask=ocean_mask, ndwi_thresh=ndwi_thresh, min_freq=min_freq, max_freq=max_freq, @@ -1249,17 +1284,12 @@ def intertidal_cli( log=log, ) - # # Calculate extents (to be included in next version) - # log.info(f"{run_id}: Calculating Intertidal Extents") - # ds["extents"] = extents( - # dem=ds.elevation, - # freq=ds.qa_ndwi_freq, - # corr=ds.qa_ndwi_corr, - # reclassified_aclum=reclassified_aclum, - # min_freq=min_freq, - # max_freq=max_freq, - # min_correlation=min_correlation, - # ) + # Calculate extents (to be included in next version) + log.info(f"{run_id}: Calculating Intertidal Extents") + ds["extents"] = extents( + dc=dc, + ds=ds + ) if exposure_offsets: log.info(f"{run_id}: Calculating Intertidal Exposure") diff --git a/intertidal/extents.py b/intertidal/extents.py index 6a8f1bc..6cb6059 100644 --- a/intertidal/extents.py +++ b/intertidal/extents.py @@ -1,348 +1,369 @@ -import xarray as xr - -from skimage.measure import label, regionprops -from skimage.morphology import binary_erosion, disk - -from odc.algo import mask_cleanup +import datacube import odc.geo.xr - -def intertidal_connection(water_intertidal, intertidal, connectivity=1): +import xarray as xr +import numpy as np +import pandas as pd +import geopandas as gpd + +from skimage import graph +from odc.geo.geobox import GeoBox +from odc.geo.gridspec import GridSpec +from odc.geo.types import xy_ +from odc.algo import mask_cleanup +from odc.geo.xr import xr_zeros +from dea_tools.spatial import xr_rasterize +from rasterio.features import sieve +from intertidal.io import ( + load_ocean_mask, + load_aclum_mask, + load_topobathy_mask, + extract_geobox, +) + + +def _cost_distance( + cost_surface, start_array, sampling=None, geometric=True, **mcp_kwargs +): """ - - Identifies areas of water pixels that are adjacent to or directly - connected to intertidal pixels. - - Parameters: - ----------- - water_intertidal : xarray.DataArray - An array containing True for pixels that are either water or - intertidal pixels. - intertidal : xarray.DataArray - An array containing True for intertidal pixels. - connectivity : integer, optional - An integer passed to the 'connectivity' parameter of the - `skimage.measure.label` function. - - Returns: - -------- - intertidal_connection : xarray.DataArray - An array containing the a mask consisting of identified - intertidally-connected pixels as True. + Calculate accumulated least-cost distance through a cost surface + array from a set of starting cells to every other cell in an array, + using methods from `skimage.graph.MCP` or `skimage.graph.MCP_Geometric`. + + Parameters + ---------- + cost_surface : ndarray + A 2D array representing the cost surface. + start_array : ndarray + A 2D array with the same shape as `cost_surface` where non-zero + values indicate start points. + sampling : tuple, optional + For each dimension, specifies the distance between two cells. + If not given or None, unit distance is assumed. + geometric : bool, optional + If True, `skimage.graph.MCP_Geometric` will be used to calculate + costs, accounting for the fact that diagonal vs. axial moves + are of different lengths and weighting path costs accordingly. + If False, costs will be calculated simply as the sum of the + values of the costs array along the minimum cost path. + **mcp_kwargs : + Any additional keyword arguments to pass to `skimage.graph.MCP` + or `skimage.graph.MCP_Geometric`. + + Returns + ------- + lcd : ndarray + A 2D array of the least-cost distances from the start cell to all other cells. """ - # First, break `water_intertidal` array into unique, discrete - # regions/blobs. - blobs = xr.apply_ufunc(label, water_intertidal, 0, False, connectivity) - - # For each unique region/blob, use region properties to determine - # whether it overlaps with a feature from `intertidal`. If - # it does, then it is considered to be adjacent or directly connected - # to intertidal pixels - intertidal_connection = blobs.isin( - [ - i.label - for i in regionprops(blobs.values, intertidal.values) - if i.max_intensity - ] - ) - - return intertidal_connection - - -def extents( - dem, - freq, - corr, - reclassified_aclum, - min_freq=0.01, - max_freq=0.99, - min_correlation=0.15, -): - """ - Classify coastal ecosystems into broad classes based - on their respective patterns of wetting frequency, - proximity to intertidal pixels and relationship to tidal - inundation and urban land use (to mask misclassifications). + # Initialise relevant least cost graph + if geometric: + lc_graph = graph.MCP_Geometric( + costs=cost_surface, + sampling=sampling, + **mcp_kwargs, + ) + else: + lc_graph = graph.MCP( + costs=cost_surface, + sampling=sampling, + **mcp_kwargs, + ) - Parameters: - ----------- - dem : xarray.DataArray - An xarray.DataArray of the final intertidal DEM, generated - during the intertidal.elevation workflow - freq : xarray.DataArray - An xarray.DataArray of the NDWI frequency layer summarising the - frequency of wetness per pixel for any given time-series, - generated during the intertidal.elevation workflow - corr : xarray.DataArray - An xarray.DataArray of the correlation between pixel NDWI values - and tide height, generated during the intertidal.elevation workflow - reclassified_aclum : str - An xarray.DataArray containing reclassified land use data, used - to mask out urban areas misclassified as water. + # Extract starting points from the array (pixels with non-zero values) + starts = list(zip(*np.nonzero(start_array))) - Returns: - -------- - extents: xarray.DataArray - A binary xarray.DataArray depicting dry (0), inland intermittent wet (1), - inland persistent wet (2), tidal influenced persistent wet (3), - intertidal (low confidence, 4) and intertidal (high confidence, 5) coastal extents. + # Calculate the least-cost distance from the start cell to all other cells + lcd = lc_graph.find_costs(starts=starts)[0] - Notes: - ------ - Classes are defined as follows: + return lcd - 0: Dry - - Pixels with wetness `freq` < 0.01 - Includes pixels that meet the following criteria: - - Intermittently wet pixels with wetness frequency > 0.01 and < 0.99 and - - Un-correclated to tide (p>0.15) and either of the following: - - Connected to the intertidal class and has wetness frequency less than 0.1 or - - Unconnected to the intertidal class and intersects with urban use land class - 1: Inland intermittent wet - - Pixels with wetness frequency > 0.01 and < 0.99 and - - Un-correclated to tide (p>0.15) and - - Unconnected to the intertidal class and - - Does not intersect with urban use land class - 2: Inland persistent wet - - Pixels with wettness 'freq' > 0.99 and - - Unconnected to the intertidal class - 3: Tidal influenced persistent wet - - Pixels with wettness 'freq' > 0.99 and - - Connected to the intertidal class - Includes pixels that meet the following criteria: - - Intermittently wet pixels with wetness frequency > 0.01 and < 0.99 and - - Un-correclated to tide (p>0.15) and - - Connected to the intertidal class and - - Wetness frequency >= 0.1 - 4: Intertidal low confidence - - Frequency of pixel wetness (`freq`) is > 0.01 and < 0.99 and - - The correlation (`corr`) between `freq` and tide-heights is > 0.15 and - - Pixels do not have a valid elevation value (meaning their rolling NDWI median - does not cross zero. However, these are still likely to be intertidal pixels - as their rolling median curves likely fall completely above or below NDWI=0) - 5: Intertidal high confidence - - Frequency of pixel wetness (`freq`) is > 0.01 and < 0.99 and - - The correlation (`corr`) between `freq` and tide-heights is > 0.15 and - - pixels have a valid elevation value (meaning their rolling NDWI median - crosses zero) +def xr_cost_distance(cost_da, starts_da, use_cellsize=False, geometric=True): + """ + Calculate accumulated least-cost distance through a cost surface + array from a set of starting cells to every other cell in an + xarray.DataArray, returning results as an xarray.DataArray. + + Parameters + ---------- + cost_da : xarray.DataArray + An xarray.DataArray representing the cost surface, where pixel + values represent the cost of moving through each pixel. + starts_da : xarray.DataArray + An xarray.DataArray with the same shape as `cost_da` where non- + zero values indicate start points for the distance calculation. + use_cellsize : bool, optional + Whether to incorporate cell size when calculating the distance + between two cells, based on the spatial resolution of the array. + Default is False, which will assume distances between cells will + be based on cost values only. + geometric : bool, optional + If True, `skimage.graph.MCP_Geometric` will be used to calculate + costs, accounting for the fact that diagonal vs. axial moves + are of different lengths and weighting path costs accordingly. + If False, costs will be calculated simply as the sum of the + values of the costs array along the minimum cost path. + + Returns + ------- + costdist_da : xarray.DataArray + An xarray.DataArray providing least-cost distances between every + cell and the nearest start cell. """ - """--------------------------------------------------------------------""" - ## Set the upper and lower freq thresholds - upper, lower = max_freq, min_freq - - # Set NaN values (i.e. pixels masked out over deep water) in frequency to 1 - freq = freq.fillna(1) + # Use resolution from input arrays if requested + if use_cellsize: + x, y = cost_da.odc.geobox.resolution.xy + cellsize = (abs(y), abs(x)) + else: + cellsize = None - ## Identify broad classes based on wetness frequency and tidal correlation - dry = freq < lower - intermittent = (freq >= lower) & (freq <= upper) - wet = freq > upper + # Compute least cost array + costdist_array = _cost_distance( + cost_da, starts_da.values, sampling=cellsize, geometric=geometric + ) - ##### Separate intermittent_tidal (intertidal) - intertidal = intermittent & (corr >= min_correlation) + # Wrap as xarray + costdist_da = xr.DataArray(costdist_array, coords=cost_da.coords) - ##### Separate intermittent_nontidal - intermittent_nontidal = intermittent & (corr < min_correlation) + return costdist_da - ##### Separate high and low confidence intertidal pixels - intertidal_hc = intertidal & dem.notnull() - intertidal_lc = intertidal & dem.isnull() - """--------------------------------------------------------------------""" - # Clean up the urban land masking class by removing high confidence intertidal areas - reclassified_aclum = reclassified_aclum & ~intertidal_hc +def load_connectivity_mask( + dc, + geobox, + product="ga_srtm_dem1sv1_0", + elevation_band="dem_h", + resampling="bilinear", + buffer=20000, + max_threshold=100, + add_mangroves=False, + mask_filters=[("dilation", 3)], + **cost_distance_kwargs, +): + """ + Generates a mask based on connectivity to ocean pixels, using least- + cost distance weighted by elevation. By incorporating elevation, + this mask will extend inland further in areas of low lying elevation + and less far inland in areas of steep terrain. + + Parameters + ---------- + dc : Datacube + A Datacube instance for loading data. + geobox : ndarray + The GeoBox defining the pixel grid to load data into (e.g. + resolution, extents, CRS). + product : str, optional + The name of the DEM product to load from the datacube. + Defaults to "ga_srtm_dem1sv1_0". + elevation_band : str, optional + The name of the band containing elevation data. Defaults to + "height_depth". + resampling : str, optional + The resampling method to use, by default "bilinear". + buffer : int, optional + The distance by which to buffer the input GeoBox to reduce edge + effects. This buffer will eventually be removed and clipped back + to the original GeoBox extent. Defaults to 20,000 metres. + max_threshold: int, optional + Value used to threshold the resulting cost distance to produce + a mask. + mask_filters : list of tuples, optional + An optional list of morphological processing steps to pass to + the `mask_cleanup` function. The default is `[("dilation", 3)]`, + which will dilate True pixels by a radius of 3 pixels. + **cost_distance_kwargs : + Optional keyword arguments to pass to the ``xr_cost_distance`` + cost-distance function. + + Returns + ------- + costdist_mask : xarray.DataArray + An output boolean mask, where True represent pixels located in + close cost-distance proximity to the ocean. + costdist_da : xarray.DataArray + The output cost-distance array, reflecting distance from the + ocean weighted by elevation. + """ - # Erode the intensive urban land use class to remove extents-class overlaps from - # the native 50m CLUM pixel resolution dataset - reclassified_aclum = mask_cleanup( - mask=reclassified_aclum, mask_filters=[("erosion", 5)] + # Buffer input geobox and reduce resolution to ensure that the + # connectivity analysis is less affected by edge effects + geobox_buffered = GeoBox.from_bbox( + geobox.buffered(xbuff=buffer, ybuff=buffer).boundingbox, + resolution=30, + tight=True, ) - ##### Classify 'wet' pixels based on connectivity to intertidal pixels (into 'wet_ocean' and 'wet_inland') - - # Create a true/false layer of intertidal pixels (1) vs everything else (0) - # Extract intertidal pixels (value 1) then erode these by 1 pixels to ensure we only - # use high certainty intertidal regions for identifying connectivity to wet - # pixels in our satellite imagery. - inter = intertidal_hc | intertidal_lc - - # Erode outer edge pixels by 1 pixel to drop extrema intertidal pixels and ensure connection - # to high certainty intertidal pixels - inter = xr.apply_ufunc(binary_erosion, inter, disk(1)) + # Load DEM data + dem_da = dc.load( + product="ga_srtm_dem1sv1_0", + measurements=[elevation_band], + resampling="bilinear", + like=geobox_buffered, + ).squeeze()[elevation_band] + + # Identify starting points (ocean nodata points) + if add_mangroves: + print("Adding GMW mangroves to starting points") + try: + gmw_da = load_gmw_mask(dem_da) + starts_da = (dem_da == dem_da.nodata) | gmw_da + except: + starts_da = dem_da == dem_da.nodata + else: + starts_da = dem_da == dem_da.nodata + + # Calculate cost surface (negative values are not allowed, so + # negative nodata values are resolved by clipping values to between + # 0 and infinity) + costs_da = dem_da.clip(0, np.inf) + + # Run cost distance surface + costdist_da = xr_cost_distance( + cost_da=costs_da, + starts_da=starts_da, + **cost_distance_kwargs, + ) - # Applying intertidal_connection masking function for the first of two times - # This first mask identifies where wet+intertidal (e.g. not dry) pixels - # connect to intertidal pixels - intertidal_mask1 = intertidal_connection(~dry, inter, connectivity=1) + # Reproject back to original geobox extents and resolution + costdist_da = costdist_da.odc.reproject(how=geobox) - # Applying intertidal_connection masking function for the second time, - # testing for wet pixel connection to the connected 'wet and intertidal' mask. - intertidal_mask2 = intertidal_connection(wet, intertidal_mask1, connectivity=1) + # Apply threshold + costdist_mask = costdist_da < max_threshold - # Mask out areas identified as 'intensive urban use' in ABARES CLUM dataset - intertidal_mask2 = intertidal_mask2 & ~reclassified_aclum + # If requested, apply cleanup + if mask_filters is not None: + costdist_mask = mask_cleanup(costdist_mask, mask_filters=mask_filters) - # Distinguish wet inland class from wet ocean class - wet_inland = wet & ~intertidal_mask2 - wet_ocean = wet & intertidal_mask2 + return costdist_mask, costdist_da - """--------------------------------------------------------------------""" - ## Classify 'intermittently wet' pixels into 'intermittently_wet_inland' and 'other-intertidal_fringe' - ## Applying intertidal_connection masking function to separate inland from intertidal connected pixels - intertidal_mask = intertidal_connection( - intermittent_nontidal, intertidal_mask1, connectivity=1 +def load_gmw_mask(ds, gmw_path="/gdata1/data/mangroves/gmw_v3_2007_vec_aus.geojson"): + """ + Experiment with loading GMW data. + """ + gmw_gdf = gpd.read_file( + gmw_path, bbox=ds.odc.geobox.boundingbox.to_crs("EPSG:4326") ) + gmw_da = xr_rasterize(gmw_gdf, ds) + return gmw_da - # Mask out areas identified as 'intensive urban use' in ABARES CLUM dataset - intertidal_mask = intertidal_mask & ~reclassified_aclum - - # Distinguish intermittent inland from intermittent-other (intertidal_fringe) pixels - intermittent_inland = intermittent_nontidal & ~intertidal_mask - intertidal_fringe = intermittent_nontidal & intertidal_mask - - # Isolate mostly dry pixels from intertidal_fringe class - mostly_dry = intertidal_fringe & (freq < 0.1) - # Isolate mostly wet pixels from intertidal fringe class - mostly_wet = intertidal_fringe & (freq >= 0.1) - - # Separate misclassified urban pixels into 'dry' class - urban_dry = reclassified_aclum & intermittent_inland - urban_dry1 = reclassified_aclum & intertidal_hc - urban_dry2 = reclassified_aclum & intertidal_lc - - # Identify true classified classes - intermittent_inland = intermittent_inland & ~urban_dry - intertidal_hc = intertidal_hc & ~urban_dry1 - intertidal_lc = intertidal_lc & ~urban_dry2 - - """--------------------------------------------------------------------""" - # Combine wet_ocean and intertidal_fringe pixels - wet_ocean = wet_ocean | mostly_wet - - # Combine urban_dry classes - urban_dry = urban_dry1 | urban_dry2 - - # Relabel pixels - dry = (dry * 0).where(dry) - wet_ocean = (wet_ocean * 3).where(wet_ocean) - wet_inland = (wet_inland * 2).where(wet_inland) - intermittent_inland = (intermittent_inland * 1).where(intermittent_inland) - intertidal_hc = (intertidal_hc * 5).where(intertidal_hc) - intertidal_lc = (intertidal_lc * 4).where(intertidal_lc) - mostly_dry = (mostly_dry * 0).where(mostly_dry) - urban_dry = (urban_dry * 0).where(urban_dry) - - # Combine - extents = dry.combine_first(wet_ocean) - extents = extents.combine_first(wet_inland) - extents = extents.combine_first(intertidal_hc) - extents = extents.combine_first(intermittent_inland) - extents = extents.combine_first(intertidal_lc) - extents = extents.combine_first(mostly_dry) - extents = extents.combine_first(0) - - return extents - -def ocean_connection(water, ocean_da, connectivity=2): +def extents(dc, ds, buffer=20000, min_correlation=0.15, sieve_size=5): """ - Identifies areas of water pixels that are adjacent to or directly - connected to intertidal pixels. + Classify coastal ecosystems into broad classes based + on their respective patterns of wetting frequency, + proximity to the ocean, and relationships to tidal + inundation, elevation and urban land use (to mask misclassifications). Parameters: ----------- - water : xarray.DataArray - An array containing True for water pixels. - ocean_da : xarray.DataArray - An array containing True for ocean pixels. - connectivity : integer, optional - An integer passed to the 'connectivity' parameter of the - `skimage.measure.label` function. + dc : Datacube + A Datacube instance for loading data. + ds : xarray.Dataset + An xarray.Dataset that must include xarray.DataArrays for + at least 'elevation', 'qa_ndwi_freq' and 'qa_ndwi_corr'. + These arrays are generated as an output from the + intertidal.elevation algorithm. + buffer : int, optional + The distance by which to buffer the ds GeoBox to reduce edge + effects. This buffer will eventually be removed and clipped back + to the original GeoBox extent. Defaults to 20,000 metres. + min_correlation : int, optional + Minimum correlation between water index and tide height + required for a pixel to be included in the intertidal pixel + analysis, 0.15 by default, aligning with the default value + used in the intertidal.elevation algorithm. + sieve_size : int, optional + Maximum number of grouped pixels belonging to any single + class that are sieved out to remove small noisy dataset + features. Class values are replaced with the dominant + neighbouring class. Returns: -------- - ocean_connection : xarray.DataArray - An array containing the a mask consisting of identified - ocean-connected pixels as True. - """ + extents: xarray.DataArray + A categorical xarray.DataArray depicting the following pixel classes: + - Nodata (0), + - Ocean and coastal water (1), + - Exposed intertidal (low confidence) (2), + - Exposed intertidal (high confidence) (3), + - Inland waters (4), + - Land (5) + + Notes: + ------ + Classes are defined as follows: - # First, break `water` array into unique, discrete - # regions/blobs. - blobs = xr.apply_ufunc(label, water, 0, False, connectivity) + 0 : Nodata + 1 : Ocean and coastal water + Pixels that are wet in 50 % or more observations + 2 : Exposed intertidal (low confidence) + Pixels with water index and tidal correlations higher than 0.15. + Pixels must be located within the costdist_mask connectivity mask + and not be included in the intertidal elevation (high confidence) + dataset + 3 : Exposed intertidal (high confidence) + Pixels that are included in the intertidal elevation dataset + 4 : Inland waters + Pixels that are wet in more than 50 % of observations and fall + outside of the costdist_mask connectivity mask. + 5 : Land + Pixels that are wet in less than 50 % of observations + """ - # For each unique region/blob, use region properties to determine - # whether it overlaps with a feature from `intertidal`. If - # it does, then it is considered to be adjacent or directly connected - # to intertidal pixels - ocean_connection = blobs.isin( - [i.label for i in regionprops(blobs.values, ocean_da.values) if i.max_intensity] + # Identify dataset geobox + geobox = ds.odc.geobox + + # Load other inputs + ocean_mask = load_ocean_mask(dc, geobox) + urban_mask = load_aclum_mask(dc, geobox) + bathy_mask = load_topobathy_mask(dc, geobox) + costdist_mask, _ = load_connectivity_mask(dc, geobox, buffer=buffer) + + # Identify any pixels that are nodata in both frequency and bathy mask + # (this is a temporary hack due to us not having any other way of telling + # ocean nodata pixels apart from inland nodata pixels + is_nan = (ds.qa_ndwi_freq.isnull()) & bathy_mask + + # Spilt pixels into those that were mostly wet vs mostly dry. + # Identify subset of mostly wet pixels that were inland + mostly_dry = (ds.qa_ndwi_freq < 50) & ~is_nan + mostly_wet = (ds.qa_ndwi_freq >= 50) & ~is_nan + mostly_wet_inland = mostly_wet & ~costdist_mask + + # Identify low-confidence pixels as those with greater than 0.15 + # correlation. Use connectivity mask to mask out any that are "inland" + intertidal_lc = (ds.qa_ndwi_corr >= min_correlation) & costdist_mask + + # Identify high confidence intertidal as those in our elevation data + intertidal_hc = ds.elevation.notnull() + + # Identify likely misclassified urban pixels as those that overlap with + # the urban mask + urban_misclass = mostly_wet_inland & urban_mask + + # Combine all classifications - this is done one-by-one, pasting each + # new layer over the top of the existing data + extents = xr_zeros(geobox=geobox, dtype="int16") # start with 0 + extents.values[mostly_wet] = 1 # Add in mostly wet pixels + extents.values[mostly_wet_inland] = 4 # Add in mostly wet inland pixels on top + extents.values[urban_misclass] = ( + 5 # Set any pixels in the misclassified urban class to land ) + extents.values[mostly_dry] = 5 # Add mostly dry on top + extents.values[intertidal_lc] = 2 # Add low confidence intertidal on top + + # Sieve out small noisy features. This is applied to everything but the + # high confidence intertidal class, to keep a 1:1 match with elevation + extents.values[:] = sieve(extents.values, size=sieve_size) - return ocean_connection - - - -# from rasterio.features import sieve - - -# def extents_ocean_masking( -# dem, -# freq, -# corr, -# ocean_mask, -# urban_mask, -# min_freq=0.01, -# max_freq=0.99, -# mostly_dry_freq=0.5, -# min_correlation=0.15, -# ): -# """ -# Experimental ocean masking extents code -# """ -# # Set NaN values (i.e. pixels masked out over deep water) in frequency to 1 -# freq = freq.fillna(1) - -# # Identify broad classes based on wetness frequency -# intermittent = (freq >= min_freq) & (freq <= max_freq) # wet and dynamic -# wet_all = freq >= min_freq # all occasionally wet pixels incl. intertidal -# mostly_dry = freq < mostly_dry_freq # dry for majority of the timeseries - -# # Classify 'wet_all' pixels into 'wet_ocean' and 'wet_inland' based -# # on connectivity to ocean pixels, and mask out `wet_inland` pixels -# # identified as intensive urban use -# wet_ocean = ocean_connection(wet_all, (ocean_mask | (corr >= 0.5))) -# wet_inland = wet_all & ~wet_ocean & ~urban_mask - -# # Distinguish mostly dry intermittent inland from other wet inland -# wet_inland_intermittent = wet_inland & mostly_dry - -# # Separate all intertidal from high confidence intertidal pixels -# intertidal = intermittent & (corr >= min_correlation) -# intertidal_hc = dem.notnull() & wet_ocean - -# # Identify intertidal fringe pixels (e.g. non-tidally correlated -# # ocean pixels that appear in close proximity to the intertidal zone -# # that are dry for at least half the timeseries. -# intertidal_dilated = mask_cleanup(mask=intertidal, mask_filters=[("dilation", 3)]) -# intertidal_fringe = intertidal_dilated & wet_ocean & mostly_dry - -# # Combine all layers -# extents = odc.geo.xr.xr_zeros(dem.odc.geobox).astype(np.uint8) -# extents.values[wet_ocean.values] = 3 -# extents.values[wet_inland.values] = 2 -# extents.values[wet_inland_intermittent.values] = 1 -# extents.values[intertidal_fringe.values] = 0 -# extents.values[intertidal.values] = 4 - -# # Reduce noise by sieving all classes except high confidence intertidal. -# # This merges small areas of isolated pixels with their most common neighbour -# extents.values[:] = sieve(extents, 3, connectivity=4) - -# # Finally add intertidal high confidence extents over the top -# extents.values[intertidal_hc.values] = 5 - -# return extents + # Add high confidence intertidal on top + extents.values[intertidal_hc] = 3 + + # Export to file + extents.attrs["nodata"] = 0 + + return extents diff --git a/notebooks/Intertidal_CLI.ipynb b/notebooks/Intertidal_CLI.ipynb index 12676c4..e168f44 100644 --- a/notebooks/Intertidal_CLI.ipynb +++ b/notebooks/Intertidal_CLI.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "ccccdf10-6065-4f91-8725-d3233ebbe6d4", + "id": "dfda954d", "metadata": { "tags": [] }, @@ -19,7 +19,7 @@ { "cell_type": "code", "execution_count": 1, - "id": "3cdd49c0-fef3-4b10-9d45-d28c41755e12", + "id": "4c1075a0", "metadata": { "tags": [] }, @@ -28,7 +28,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "/home/jovyan/Robbi/dea-intertidal\n" + "/home/jovyan/dea_intertidal/dea-intertidal\n" ] } ], @@ -38,7 +38,7 @@ }, { "cell_type": "markdown", - "id": "9e0e6a00-0c55-4ec3-881f-4cdd32899772", + "id": "42430d93", "metadata": {}, "source": [ "Install additional packages directly from the requirements file" @@ -46,17 +46,27 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "924876a7-a415-4d65-81c4-5e5cd7b7b53d", - "metadata": {}, - "outputs": [], + "execution_count": 2, + "id": "8f7bb11f", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], "source": [ "pip install -r requirements.in --quiet" ] }, { "cell_type": "markdown", - "id": "bd675e30-92c7-494f-9f16-2ea0ae1de32f", + "id": "1bb02e20", "metadata": { "tags": [] }, @@ -66,7 +76,7 @@ }, { "cell_type": "markdown", - "id": "3fbdf7a0-4daa-49c1-a3f7-3e0bd0e38560", + "id": "f66be0ef", "metadata": { "tags": [] }, @@ -77,8 +87,8 @@ }, { "cell_type": "code", - "execution_count": 2, - "id": "58c0e260-cd76-45d9-9dc3-5e4294be31c6", + "execution_count": 3, + "id": "0e979f2b", "metadata": { "tags": [] }, @@ -103,12 +113,13 @@ "\n", "# Additional flags optionally turning exposure/offset calculation off\n", "# for testing elevation code\n", - "exposure_offsets = \"\" # \"--no-exposure_offsets\"" + "exposure_offsets = \"\" # \"--no-exposure_offsets\"\n", + "# output_auxiliaries = \"--output_auxiliaries\"" ] }, { "cell_type": "markdown", - "id": "cd538aa3-7716-443b-a10d-6d35e7e61597", + "id": "a1945634", "metadata": {}, "source": [ "## DEA Intertidal CLI\n", @@ -123,8 +134,8 @@ }, { "cell_type": "code", - "execution_count": 3, - "id": "0ef38032-e7e1-4090-b89c-c236d573e3a8", + "execution_count": 5, + "id": "415108cd", "metadata": { "tags": [] }, @@ -227,7 +238,8 @@ " Whether to sign AWS requests for S3 access.\n", " Defaults to True; can be set to False by\n", " passing `--no-aws_unsigned`.\n", - " --help Show this message and exit.\n" + " --help Show this message and exit.\n", + "\u001b[0m" ] } ], @@ -237,7 +249,7 @@ }, { "cell_type": "markdown", - "id": "4a056759-7ec9-473d-8a60-9a7b95f122cd", + "id": "0dbc46d9", "metadata": {}, "source": [ "### Run DEA Intertidal CLI for a single epoch\n", @@ -247,7 +259,7 @@ { "cell_type": "code", "execution_count": 6, - "id": "1da1e270-43bd-4a11-9d5b-6be26cb1a74f", + "id": "3f36e01e-a0d9-4525-a88a-8d89b669d527", "metadata": { "tags": [] }, @@ -256,19 +268,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "2024-03-25 04:57:07 INFO [0.0.1] [2023] [testing]: Loading satellite data\n", - "/env/lib/python3.10/site-packages/distributed/node.py:183: UserWarning: Port 8787 is already in use.\n", - "Perhaps you already have a cluster running?\n", - "Hosting the HTTP server on port 37479 instead\n", - " warnings.warn(\n", - "\n", - "2024-03-25 04:57:11 INFO [0.0.1] [2023] [testing]: Running in testing mode using custom study area\n", - "2024-03-25 04:57:46 INFO [0.0.1] [2023] [testing]: Calculating Intertidal Elevation\n", - "2024-03-25 04:57:46 INFO [0.0.1] [2023] [testing]: Modelling tide heights for each pixel\n", + "2024-08-21 07:27:55 INFO [0.0.1] [2023] [testing]: Using parameters {'study_area': 'testing', 'start_date': '2023', 'end_date': '2023', 'label_date': '2023', 'output_version': '0.0.1', 'output_dir': 'data/processed/', 'product_maturity': 'provisional', 'dataset_maturity': 'final', 'resolution': 10, 'ndwi_thresh': 0.1, 'min_freq': 0.01, 'max_freq': 0.99, 'min_correlation': 0.15, 'windows_n': 100, 'window_prop_tide': 0.15, 'correct_seasonality': False, 'tide_model': ('ensemble',), 'tide_model_dir': '/gdata1/data/tide_models_clipped', 'modelled_freq': '3h', 'exposure_offsets': True, 'aws_unsigned': True}\n", + "2024-08-21 07:27:55 INFO [0.0.1] [2023] [testing]: Loading satellite data\n", + "\n", + "2024-08-21 07:27:59 INFO [0.0.1] [2023] [testing]: Running in testing mode using custom study area\n", + "2024-08-21 07:28:17 INFO [0.0.1] [2023] [testing]: Calculating Intertidal Elevation\n", + "2024-08-21 07:28:17 INFO [0.0.1] [2023] [testing]: Modelling tide heights for each pixel\n", "Running ensemble tide modelling\n", "Creating reduced resolution 5000 x 5000 metre tide modelling array\n", "Modelling tides using FES2014, FES2012, TPXO8-atlas-v1, TPXO9-atlas-v5, EOT20, HAMTIDE11, GOT4.10 in parallel\n", - "100%|███████████████████████████████████████████| 35/35 [00:17<00:00, 1.97it/s]\n", + "100%|███████████████████████████████████████████| 35/35 [00:51<00:00, 1.48s/it]\n", "Returning low resolution tide array\n", "Generating ensemble tide model from point inputs\n", "Interpolating model weights using 'idw' interpolation\n", @@ -283,27 +292,25 @@ "TPXO8-atlas-v1 0.433992\n", "Reducing multiple models into single ensemble model using 'mean'\n", "Reprojecting ensemble tides into original array\n", - "2024-03-25 04:58:06 INFO [0.0.1] [2023] [testing]: Masking nodata and adding tide heights to satellite data array\n", - "2024-03-25 04:58:06 INFO [0.0.1] [2023] [testing]: Flattening satellite data array and filtering to intertidal candidate pixels\n", - "2024-03-25 04:58:06 INFO [0.0.1] [2023] [testing]: Applying valid data mask to constrain study area\n", - "Reducing analysed pixels from 7125 to 5673 (79.62%)\n", - "2024-03-25 04:58:06 INFO [0.0.1] [2023] [testing]: Running per-pixel rolling median\n", - "100%|█████████████████████████████████████████| 105/105 [00:01<00:00, 66.46it/s]\n", - "2024-03-25 04:58:08 INFO [0.0.1] [2023] [testing]: Modelling intertidal elevation\n", + "2024-08-21 07:29:12 INFO [0.0.1] [2023] [testing]: Masking nodata and adding tide heights to satellite data array\n", + "2024-08-21 07:29:12 INFO [0.0.1] [2023] [testing]: Flattening satellite data array and filtering to intertidal candidate pixels\n", + "2024-08-21 07:29:12 INFO [0.0.1] [2023] [testing]: Applying valid data mask to constrain study area\n", + "Reducing analysed pixels from 7125 to 5678 (79.69%)\n", + "2024-08-21 07:29:12 INFO [0.0.1] [2023] [testing]: Running per-pixel rolling median\n", + "100%|█████████████████████████████████████████| 105/105 [00:01<00:00, 64.18it/s]\n", + "2024-08-21 07:29:15 INFO [0.0.1] [2023] [testing]: Modelling intertidal elevation\n", "Applying tidal interval interpolation to 200 intervals\n", "Applying rolling mean smoothing with radius 20\n", - "2024-03-25 04:58:08 INFO [0.0.1] [2023] [testing]: Modelling intertidal uncertainty\n", - "2024-03-25 04:58:08 INFO [0.0.1] [2023] [testing]: Unflattening data back to its original spatial dimensions\n", - "2024-03-25 04:58:08 INFO [0.0.1] [2023] [testing]: Cleaning inaccurate upper intertidal pixels\n", - "2024-03-25 04:58:08 INFO [0.0.1] [2023] [testing]: Restricting outputs to ocean-connected waters\n", - "2024-03-25 04:58:08 INFO [0.0.1] [2023] [testing]: Successfully completed intertidal elevation modelling\n", - "2024-03-25 04:58:09 INFO [0.0.1] [2023] [testing]: Calculating Intertidal Exposure\n", - "2024-03-25 04:58:09 INFO [0.0.1] [2023] [testing]: Modelling tide heights for each pixel\n", + "2024-08-21 07:29:15 INFO [0.0.1] [2023] [testing]: Modelling intertidal uncertainty\n", + "2024-08-21 07:29:16 INFO [0.0.1] [2023] [testing]: Unflattening data back to its original spatial dimensions\n", + "2024-08-21 07:29:16 INFO [0.0.1] [2023] [testing]: Cleaning inaccurate upper intertidal pixels\n", + "2024-08-21 07:29:16 INFO [0.0.1] [2023] [testing]: Successfully completed intertidal elevation modelling\n", + "2024-08-21 07:29:16 INFO [0.0.1] [2023] [testing]: Calculating Intertidal Extents\n", + "2024-08-21 07:29:24 INFO [0.0.1] [2023] [testing]: Calculating Intertidal Exposure\n", "Running ensemble tide modelling\n", "Creating reduced resolution 5000 x 5000 metre tide modelling array\n", "Modelling tides using FES2014, FES2012, TPXO8-atlas-v1, TPXO9-atlas-v5, EOT20, HAMTIDE11, GOT4.10 in parallel\n", - "100%|███████████████████████████████████████████| 35/35 [00:18<00:00, 1.94it/s]\n", - "Computing tide quantiles\n", + "100%|███████████████████████████████████████████| 35/35 [01:03<00:00, 1.81s/it]\n", "Returning low resolution tide array\n", "Generating ensemble tide model from point inputs\n", "Interpolating model weights using 'idw' interpolation\n", @@ -317,31 +324,26 @@ "HAMTIDE11 0.437319\n", "TPXO8-atlas-v1 0.433992\n", "Reducing multiple models into single ensemble model using 'mean'\n", - "Reprojecting ensemble tides into original array\n", - "2024-03-25 04:58:29 INFO [0.0.1] [2023] [testing]: Calculating spread, offset and HAT/LAT/LOT/HOT layers\n", - "2024-03-25 04:58:29 INFO [0.0.1] [2023] [testing]: Assembling dataset\n", - "/env/lib/python3.10/site-packages/eodatasets3/properties.py:435: UserWarning: Unknown Stac property 'intertidal:tr_class'. If this is valid property, please tell us on Github here so we can add it: \n", - "\thttps://github.com/GeoscienceAustralia/eo-datasets/issues/new?title=Include+property+%27intertidal%3Atr_class%27&labels=known-properties&body=Hello%21+The+property+%27intertidal%3Atr_class%27+does+not+appear+to+be+in+the+KNOWN_PROPERTIES+list%2C%0Abut+I+believe+it+to+be+valid.%0A%0AAn+example+value+of+this+property+is%3A+%27mesotidal%27%0A%0AThank+you%21%0A\n", - " warnings.warn(\n", - "2024-03-25 04:58:29 INFO [0.0.1] [2023] [testing]: Writing output arrays\n", - "/env/lib/python3.10/site-packages/eodatasets3/assemble.py:937: IncompleteDatasetWarning: unknown_property: Unknown stac property 'intertidal:tr_class'\n", - " warnings.warn(IncompleteDatasetWarning(m))\n", - "2024-03-25 04:58:30 INFO [0.0.1] [2023] [testing]: Assembled dataset: /tmp/tmpounco2k1/ga_s2ls_intertidal_cyear_3/0-0-1/tes/ting/2023--P1Y/ga_s2ls_intertidal_cyear_3_testing_2023--P1Y_final.odc-metadata.yaml\n", - "2024-03-25 04:58:30 INFO [0.0.1] [2023] [testing]: Writing data locally: data/processed/ga_s2ls_intertidal_cyear_3/0-0-1/tes/ting/2023--P1Y/\n", - "2024-03-25 04:58:31 INFO [0.0.1] [2023] [testing]: Completed DEA Intertidal workflow\n", - "CPU times: user 814 ms, sys: 200 ms, total: 1.01 s\n", - "Wall time: 1min 27s\n" + "Returning low resolution ensemble tide array\n", + "Calculating unfiltered exposure\n", + "2024-08-21 07:30:31 INFO [0.0.1] [2023] [testing]: Calculating spread, offset and HAT/LAT/LOT/HOT layers\n", + "2024-08-21 07:30:31 INFO [0.0.1] [2023] [testing]: Assembling dataset\n", + "2024-08-21 07:30:31 INFO [0.0.1] [2023] [testing]: Writing output arrays\n", + "2024-08-21 07:30:31 INFO [0.0.1] [2023] [testing]: Assembled dataset: /tmp/tmpi_bwussj/ga_s2ls_intertidal_cyear_3/0-0-1/tes/ting/2023--P1Y/ga_s2ls_intertidal_cyear_3_testing_2023--P1Y_final.odc-metadata.yaml\n", + "2024-08-21 07:30:31 INFO [0.0.1] [2023] [testing]: Writing data locally: data/processed/ga_s2ls_intertidal_cyear_3/0-0-1/tes/ting/2023--P1Y/\n", + "\u001b[0m2024-08-21 07:30:32 INFO [0.0.1] [2023] [testing]: Completed DEA Intertidal workflow\n", + "\u001b[0m" ] } ], "source": [ "%%time\n", - "!python -m intertidal.elevation --study_area {study_area} --start_date {start_date} --end_date {end_date} --label_date {label_date} --output_dir {output_dir} --output_version {output_version} --modelled_freq {modelled_freq} {exposure_offsets} --tide_model {tide_model} --tide_model_dir {tide_model_dir}" + "!python -m intertidal.elevation --study_area {study_area} --start_date {start_date} --end_date {end_date} --label_date {label_date} --output_dir {output_dir} --output_version {output_version} --modelled_freq {modelled_freq} --exposure_offsets {exposure_offsets} --tide_model {tide_model} --tide_model_dir {tide_model_dir}" ] }, { "cell_type": "markdown", - "id": "dc1dc57d-c974-4025-b26e-d70a0d343c8d", + "id": "9c760ff2", "metadata": {}, "source": [ "### Run DEA Intertidal CLI for a single epoch with multiple tiles\n", @@ -351,10 +353,14 @@ { "cell_type": "code", "execution_count": null, - "id": "9dcf7f21-41e0-4b4b-aaf3-2ab5fc5325d8", - "metadata": {}, + "id": "f1f32b95", + "metadata": { + "tags": [] + }, "outputs": [], "source": [ + "# study_area_list = [\"x139y96\", \"x139y95\", \"x139y94\", \"x139y93\", \"x139y92\", \"x139y91\", \"x140y91\", \"x141y91\"]\n", + "study_area_list = [\"x99y118\", \"x98y118\", \"x100y117\", \"x99y117\"]\n", "# study_area_list = []\n", "\n", "epoch_list = [\n", @@ -369,14 +375,14 @@ " print(start_date, label_date, end_date)\n", " print(tile)\n", " try:\n", - " !python -m intertidal.elevation --study_area {tile} --start_date {start_date} --end_date {end_date} --label_date {label_date} --output_dir {output_dir} --output_version {output_version} --modelled_freq {modelled_freq} {exposure_offsets} --tide_model {tide_model} --tide_model_dir {tide_model_dir}\n", + " !python -m intertidal.elevation --study_area {tile} --start_date {start_date} --end_date {end_date} --label_date {label_date} --modelled_freq {modelled_freq} {exposure_offsets} {output_auxiliaries} --tide_model {tide_model} --tide_model_dir {tide_model_dir}\n", " except:\n", " pass" ] }, { "cell_type": "markdown", - "id": "e9a7aa51-aed7-4291-af12-515f73e59755", + "id": "7d761c4d", "metadata": {}, "source": [ "## DEA Intertidal Composites CLI\n", @@ -393,7 +399,7 @@ { "cell_type": "code", "execution_count": null, - "id": "1e885ff2-d431-42de-9ce3-5223c748b8f8", + "id": "a0a85d38", "metadata": { "tags": [] }, @@ -404,7 +410,7 @@ }, { "cell_type": "markdown", - "id": "c9b351da-2a04-463e-a5fb-f140a5048741", + "id": "8dfadaaf", "metadata": {}, "source": [ "### Run DEA Intertidal Composites CLI for a single epoch\n", @@ -414,19 +420,19 @@ { "cell_type": "code", "execution_count": null, - "id": "03f7606a-add3-4673-a2aa-de5bd039418b", + "id": "1c3c87bf", "metadata": { "tags": [] }, "outputs": [], "source": [ "# %%time\n", - "# !python -m intertidal.composites --study_area {study_area} --start_date {start_date} --end_date {end_date} --threshold_lowtide {threshold_lowtide} --threshold_hightide {threshold_hightide}" + "# !python -m intertidal.composites --study_area {study_area} --start_date {start_date} --end_date {end_date} --label_date {label_date} --threshold_lowtide {threshold_lowtide} --threshold_hightide {threshold_hightide}" ] }, { "cell_type": "markdown", - "id": "d7db1fe7-7cab-4543-8e35-79587284a4c3", + "id": "bad66133", "metadata": { "tags": [] }, @@ -438,21 +444,21 @@ { "cell_type": "code", "execution_count": null, - "id": "16ab31f6-2490-4159-90ba-2849e1eb3fac", + "id": "c0c3febf", "metadata": {}, "outputs": [], "source": [ "# epoch_list = [\n", - "# # (\"2016\", \"2018\"),\n", - "# # (\"2018\", \"2020\"),\n", - "# (\"2019\", \"2021\"),\n", - "# # (\"2020\", \"2022\"),\n", + " # (\"2016\", \"2017\", \"2018\"),\n", + " # (\"2017\", \"2018\", \"2019\"),\n", + " # (\"2018\", \"2019\", \"2020\"),\n", + " (\"2019\", \"2020\", \"2021\"),\n", "# ]\n", "\n", - "# for start_date, end_date in epoch_list:\n", - "# print(start_date, end_date)\n", - "# !python -m intertidal.elevation --config_path {config_path} --study_area {study_area} --start_date {start_date} --end_date {end_date} --modelled_freq {modelled_freq} --tideline_offset_distance {tideline_offset_distance} {exposure_offsets} {output_auxiliaries}\n", - "# !python -m intertidal.composites --config_path {config_path} --study_area {study_area} --start_date {start_date} --end_date {end_date} --threshold_lowtide {threshold_lowtide} --threshold_hightide {threshold_hightide}" + "# for start_date, label_date, end_date in epoch_list:\n", + "# print(start_date, label_date, end_date)\n", + "# !python -m intertidal.elevation --config_path {config_path} --study_area {study_area} --start_date {start_date} --end_date {end_date} --label_date {label_date} --modelled_freq {modelled_freq} --tideline_offset_distance {tideline_offset_distance} {exposure_offsets} {output_auxiliaries}\n", + "# !python -m intertidal.composites --config_path {config_path} --study_area {study_area} --start_date {start_date} --end_date {end_date} --label_date {label_date} --threshold_lowtide {threshold_lowtide} --threshold_hightide {threshold_hightide}" ] } ], diff --git a/notebooks/Intertidal_workflow.ipynb b/notebooks/Intertidal_workflow.ipynb index 76951ec..d0574be 100644 --- a/notebooks/Intertidal_workflow.ipynb +++ b/notebooks/Intertidal_workflow.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "4bf6e697", + "id": "0d02ae4b", "metadata": { "tags": [] }, @@ -16,7 +16,7 @@ { "cell_type": "code", "execution_count": 1, - "id": "82c5d2e7", + "id": "a2aa2ce7", "metadata": { "tags": [] }, @@ -35,7 +35,7 @@ }, { "cell_type": "markdown", - "id": "517a07ee", + "id": "600af6e2", "metadata": {}, "source": [ "Install additional packages directly from the requirements file" @@ -44,7 +44,7 @@ { "cell_type": "code", "execution_count": 2, - "id": "a3588521", + "id": "55beb087", "metadata": { "tags": [] }, @@ -61,9 +61,21 @@ "pip install -r requirements.in --quiet" ] }, + { + "cell_type": "code", + "execution_count": 3, + "id": "efb4577c-72a6-434b-a976-bfa859c2fd90", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "%reload_ext autoreload" + ] + }, { "cell_type": "markdown", - "id": "356a17a1", + "id": "c5fb3f4c", "metadata": {}, "source": [ "### Load packages" @@ -71,12 +83,21 @@ }, { "cell_type": "code", - "execution_count": 3, - "id": "280f3352", + "execution_count": 4, + "id": "e1804f40", "metadata": { "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The autoreload extension is already loaded. To reload it, use:\n", + " %reload_ext autoreload\n" + ] + } + ], "source": [ "%load_ext autoreload\n", "%autoreload 2\n", @@ -106,7 +127,7 @@ " load_aclum_mask,\n", " prepare_for_export,\n", ")\n", - "from intertidal.elevation import elevation\n", + "from intertidal.elevation import elevation#, ocean_connection\n", "from intertidal.extents import extents\n", "from intertidal.exposure import exposure\n", "from intertidal.tidal_bias_offset import bias_offset\n", @@ -116,7 +137,7 @@ }, { "cell_type": "markdown", - "id": "612d349a", + "id": "b2b45776", "metadata": { "tags": [] }, @@ -126,7 +147,7 @@ }, { "cell_type": "markdown", - "id": "b56d03ef", + "id": "b0383f32", "metadata": { "tags": [] }, @@ -136,8 +157,8 @@ }, { "cell_type": "code", - "execution_count": 4, - "id": "9543e20f", + "execution_count": 5, + "id": "523efad1", "metadata": { "tags": [] }, @@ -163,7 +184,7 @@ }, { "cell_type": "markdown", - "id": "bea76251", + "id": "fa5b1a9c", "metadata": {}, "source": [ "##### Option 1: load study area from 32 km tile GridSpec" @@ -171,8 +192,8 @@ }, { "cell_type": "code", - "execution_count": 5, - "id": "0bb9d8e6", + "execution_count": 6, + "id": "79f0fb35", "metadata": { "tags": [] }, @@ -185,7 +206,7 @@ }, { "cell_type": "markdown", - "id": "8c1484bc", + "id": "4e9d1224", "metadata": { "tags": [] }, @@ -195,27 +216,41 @@ }, { "cell_type": "code", - "execution_count": 6, - "id": "811b4970", + "execution_count": 7, + "id": "da9b6a07", "metadata": { "tags": [] }, - "outputs": [], + "outputs": [ + { + "data": { + "image/svg+xml": [ + "" + ], + "text/plain": [ + "Geometry(MULTIPOLYGON (((131.87329168896437 -12.220584319739181, 131.87329168896437 -12.200502049369382, 131.90178150419615 -12.200502049369382, 131.90178150419615 -12.220584319739181, 131.87329168896437 -12.220584319739181))), EPSG:4326)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# # Set study area to load from file\n", - "# study_area = \"pointstuart\"\n", + "# Set study area to load from file\n", + "study_area = \"pointstuart\"\n", "\n", - "# # Read file, select study area and convert to geom\n", - "# studyarea_gdf = gpd.read_file(\n", - "# \"data/raw/intertidal_development_polygons.geojson\"\n", - "# ).set_index(\"id\")\n", - "# geom = Geometry(studyarea_gdf.loc[study_area].geometry, crs=studyarea_gdf.crs)\n", - "# geom" + "# Read file, select study area and convert to geom\n", + "studyarea_gdf = gpd.read_file(\n", + " \"data/raw/intertidal_development_polygons.geojson\"\n", + ").set_index(\"id\")\n", + "geom = Geometry(studyarea_gdf.loc[study_area].geometry, crs=studyarea_gdf.crs)\n", + "geom" ] }, { "cell_type": "markdown", - "id": "ea1b9e66", + "id": "ca29a568", "metadata": {}, "source": [ "##### Option 3: load study area using interactive map" @@ -223,53 +258,25 @@ }, { "cell_type": "code", - "execution_count": 7, - "id": "5ff7980c", + "execution_count": 8, + "id": "d0938611", "metadata": { "tags": [] }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "9e546c5d49924fc28416f16bd1250114", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Map(center=[-26, 135], controls=(ZoomControl(options=['position', 'zoom_in_text', 'zoom_in_title', 'zoom_out_t…" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/svg+xml": [ - "" - ], - "text/plain": [ - "Geometry(POLYGON ((140.919142 -17.073166, 140.919142 -17.067341, 140.925107 -17.067341, 140.925107 -17.073166, 140.919142 -17.073166)), EPSG:4326)" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "# Set study area name for outputs\n", - "study_area = \"testing\"\n", + "# # Set study area name for outputs\n", + "# study_area = \"testing\"\n", "\n", - "# Plot interactive map to select area\n", - "basemap = basemap_to_tiles(basemaps.Esri.WorldImagery)\n", - "geom = select_on_a_map(height=\"600px\", layers=(basemap,), center=(-26, 135), zoom=4)\n", - "geom" + "# # Plot interactive map to select area\n", + "# basemap = basemap_to_tiles(basemaps.Esri.WorldImagery)\n", + "# geom = select_on_a_map(height=\"600px\", layers=(basemap,), center=(-26, 135), zoom=4)\n", + "# geom" ] }, { "cell_type": "markdown", - "id": "0ccb700a", + "id": "e735bafb", "metadata": {}, "source": [ "## Intertidal workflow\n", @@ -279,8 +286,8 @@ }, { "cell_type": "code", - "execution_count": 8, - "id": "0d4e7214", + "execution_count": 9, + "id": "a13da6ce", "metadata": { "tags": [] }, @@ -292,7 +299,7 @@ "
\n", "
\n", "

Client

\n", - "

Client-10b5a850-52dd-11ef-b827-82d2269b7518

\n", + "

Client-65f5cf49-5f8c-11ef-8e10-96d779865243

\n", " \n", "\n", " \n", @@ -327,7 +334,7 @@ " \n", "
\n", "

LocalCluster

\n", - "

7c20e369

\n", + "

a1280977

\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", @@ -364,11 +371,11 @@ "
\n", "
\n", "

Scheduler

\n", - "

Scheduler-02121bb9-8f72-4556-b8f4-d1eabb242f8b

\n", + "

Scheduler-995cb46b-8e8e-4a06-99f4-770dee573d90

\n", "
\n", @@ -339,10 +346,10 @@ "
\n", - " Total threads: 2\n", + " Total threads: 7\n", " \n", - " Total memory: 12.21 GiB\n", + " Total memory: 59.21 GiB\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", @@ -387,7 +394,7 @@ " Started: Just now\n", " \n", " \n", " \n", "
\n", - " Comm: tcp://127.0.0.1:46469\n", + " Comm: tcp://127.0.0.1:39501\n", " \n", " Workers: 1\n", @@ -379,7 +386,7 @@ " Dashboard: /user/claire.phillips@ga.gov.au/proxy/8787/status\n", " \n", - " Total threads: 2\n", + " Total threads: 7\n", "
\n", - " Total memory: 12.21 GiB\n", + " Total memory: 59.21 GiB\n", "
\n", @@ -410,29 +417,29 @@ " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -459,7 +466,7 @@ "" ], "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -469,15 +476,15 @@ "name": "stdout", "output_type": "stream", "text": [ - " Size: 6MB\n", - "Dimensions: (time: 321, y: 69, x: 69)\n", + " Size: 76MB\n", + "Dimensions: (time: 272, y: 219, x: 317)\n", "Coordinates:\n", - " * time (time) datetime64[ns] 3kB 2020-01-01T00:15:51.007769 ... 202...\n", - " * y (y) float64 552B -1.852e+06 -1.852e+06 ... -1.853e+06\n", - " * x (x) float64 552B 9.51e+05 9.51e+05 ... 9.516e+05 9.516e+05\n", + " * time (time) datetime64[ns] 2kB 2020-01-02T00:57:27.736492 ... 202...\n", + " * y (y) float64 2kB -1.286e+06 -1.286e+06 ... -1.288e+06 -1.288e+06\n", + " * x (x) float64 3kB -1.404e+04 -1.404e+04 ... -1.09e+04 -1.088e+04\n", " spatial_ref int32 4B 3577\n", "Data variables:\n", - " ndwi (time, y, x) float32 6MB dask.array\n", + " ndwi (time, y, x) float32 76MB dask.array\n", "Attributes:\n", " crs: EPSG:3577\n", " grid_mapping: spatial_ref\n" @@ -487,6 +494,8 @@ "name": "stderr", "output_type": "stream", "text": [ + "/env/lib/python3.10/site-packages/rasterio/warp.py:344: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", + " _reproject(\n", "/env/lib/python3.10/site-packages/rasterio/warp.py:344: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n", " _reproject(\n" ] @@ -495,8 +504,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 11.4 s, sys: 800 ms, total: 12.2 s\n", - "Wall time: 2min 21s\n" + "CPU times: user 5.87 s, sys: 459 ms, total: 6.33 s\n", + "Wall time: 1min 4s\n" ] }, { @@ -865,40 +874,21 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", - "
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        "    spatial_ref  int32 4B 3577\n",
        "Data variables:\n",
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        "Attributes:\n",
        "    crs:           EPSG:3577\n",
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    • " ], "text/plain": [ - " Size: 6MB\n", - "Dimensions: (time: 321, y: 69, x: 69)\n", + " Size: 76MB\n", + "Dimensions: (time: 272, y: 219, x: 317)\n", "Coordinates:\n", - " * time (time) datetime64[ns] 3kB 2020-01-01T00:15:51.007769 ... 202...\n", - " * y (y) float64 552B -1.852e+06 -1.852e+06 ... -1.853e+06\n", - " * x (x) float64 552B 9.51e+05 9.51e+05 ... 9.516e+05 9.516e+05\n", + " * time (time) datetime64[ns] 2kB 2020-01-02T00:57:27.736492 ... 202...\n", + " * y (y) float64 2kB -1.286e+06 -1.286e+06 ... -1.288e+06 -1.288e+06\n", + " * x (x) float64 3kB -1.404e+04 -1.404e+04 ... -1.09e+04 -1.088e+04\n", " spatial_ref int32 4B 3577\n", "Data variables:\n", - " ndwi (time, y, x) float32 6MB nan nan nan nan ... nan nan nan nan\n", + " ndwi (time, y, x) float32 76MB nan nan nan nan ... nan nan nan nan\n", "Attributes:\n", " crs: EPSG:3577\n", " grid_mapping: spatial_ref" ] }, - "execution_count": 8, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -1024,7 +1002,7 @@ }, { "cell_type": "markdown", - "id": "d9e04a15", + "id": "a5bf5430", "metadata": {}, "source": [ "### Load optional topobathy mask\n", @@ -1034,8 +1012,8 @@ }, { "cell_type": "code", - "execution_count": 9, - "id": "47149162", + "execution_count": 10, + "id": "188c4fd2", "metadata": { "tags": [] }, @@ -1047,7 +1025,7 @@ }, { "cell_type": "markdown", - "id": "365d4389", + "id": "5d402410", "metadata": {}, "source": [ "### Intertidal elevation\n", @@ -1056,8 +1034,8 @@ }, { "cell_type": "code", - "execution_count": 10, - "id": "6a2f81c9", + "execution_count": 11, + "id": "86591395", "metadata": { "tags": [] }, @@ -1066,7 +1044,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "2024-08-05 03:47:11 INFO Processing: Modelling tide heights for each pixel\n" + "2024-08-21 07:11:13 INFO Processing: Modelling tide heights for each pixel\n" ] }, { @@ -1082,7 +1060,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 35/35 [03:07<00:00, 5.35s/it]\n" + "100%|██████████| 35/35 [00:57<00:00, 1.65s/it]\n" ] }, { @@ -1094,13 +1072,13 @@ "Interpolating model weights using 'idw' interpolation\n", " weights\n", "tide_model \n", - "FES2012 0.408641\n", - "GOT4.10 0.408046\n", - "FES2014 0.403818\n", - "TPXO8-atlas-v1 0.403729\n", - "TPXO9-atlas-v5 0.403569\n", - "EOT20 0.402051\n", - "HAMTIDE11 0.390787\n", + "HAMTIDE11 0.343471\n", + "EOT20 0.341870\n", + "FES2014 0.338001\n", + "TPXO9-atlas-v5 0.332146\n", + "GOT4.10 0.326536\n", + "TPXO8-atlas-v1 0.316927\n", + "FES2012 0.308876\n", "Reducing multiple models into single ensemble model using 'mean'\n", "Reprojecting ensemble tides into original array\n" ] @@ -1109,23 +1087,23 @@ "name": "stderr", "output_type": "stream", "text": [ - "2024-08-05 03:50:22 INFO Processing: Masking nodata and adding tide heights to satellite data array\n", - "2024-08-05 03:50:22 INFO Processing: Flattening satellite data array and filtering to intertidal candidate pixels\n", - "2024-08-05 03:50:22 INFO Processing: Applying valid data mask to constrain study area\n", - "2024-08-05 03:50:23 INFO Processing: Running per-pixel rolling median\n" + "2024-08-21 07:12:16 INFO Processing: Masking nodata and adding tide heights to satellite data array\n", + "2024-08-21 07:12:16 INFO Processing: Flattening satellite data array and filtering to intertidal candidate pixels\n", + "2024-08-21 07:12:16 INFO Processing: Applying valid data mask to constrain study area\n", + "2024-08-21 07:12:17 INFO Processing: Running per-pixel rolling median\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Reducing analysed pixels from 4761 to 3525 (74.04%)\n" + "Reducing analysed pixels from 69423 to 43493 (62.65%)\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "4fa9f95b2e374126b455eb1e999704ea", + "model_id": "d85a25f972874733bbee3ac710fb2bf1", "version_major": 2, "version_minor": 0 }, @@ -1140,11 +1118,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "2024-08-05 03:50:27 INFO Processing: Modelling intertidal elevation\n", - "2024-08-05 03:50:27 INFO Processing: Modelling intertidal uncertainty\n", - "2024-08-05 03:50:27 INFO Processing: Unflattening data back to its original spatial dimensions\n", - "2024-08-05 03:50:27 INFO Processing: Cleaning inaccurate upper intertidal pixels\n", - "2024-08-05 03:50:27 INFO Processing: Successfully completed intertidal elevation modelling\n" + "2024-08-21 07:12:46 INFO Processing: Modelling intertidal elevation\n" ] }, { @@ -1154,6 +1128,16 @@ "Applying tidal interval interpolation to 200 intervals\n", "Applying rolling mean smoothing with radius 20\n" ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2024-08-21 07:12:47 INFO Processing: Modelling intertidal uncertainty\n", + "2024-08-21 07:12:47 INFO Processing: Unflattening data back to its original spatial dimensions\n", + "2024-08-21 07:12:47 INFO Processing: Cleaning inaccurate upper intertidal pixels\n", + "2024-08-21 07:12:47 INFO Processing: Successfully completed intertidal elevation modelling\n" + ] } ], "source": [ @@ -1168,55 +1152,44 @@ }, { "cell_type": "markdown", - "id": "ea2fbad5", - "metadata": { - "tags": [] - }, + "id": "95470e0b-7601-4f30-af41-8672b651c6a9", + "metadata": {}, "source": [ - "### Intertidal exposure\n", - "Calculate exposure using the script function.\n", - "To calculate exposure for the full time period, leave `filters` commented out or set as ['unfiltered'].\n", - "See the function documentation for the full range of available filters and filter_combinations.\n", - "The code accepts lists of multiple filters and filter_combination tuples." + "### Intertidal extents\n", + "Use the outputs of the elevation function to categorically map the intertidal extents." ] }, { "cell_type": "code", - "execution_count": 31, - "id": "134cba5e-41f5-4dc3-b229-7444ada39f0a", + "execution_count": 12, + "id": "ebd67431-d173-4179-b75d-3cff5913a1a6", "metadata": { "tags": [] }, "outputs": [], "source": [ - "%reload_ext autoreload" + "# Calculate extents\n", + "ds[\"extents\"] = extents(dc=dc, ds=ds)" ] }, { - "cell_type": "code", - "execution_count": 29, - "id": "3ff0da36-2119-443f-99fb-eed219693499", + "cell_type": "markdown", + "id": "dfecea9d", "metadata": { "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "True\n" - ] - } - ], "source": [ - "if 'y' in list(ds.dims):\n", - " print ('True')" + "### Intertidal exposure\n", + "Calculate exposure using the script function.\n", + "To calculate exposure for the full time period, leave `filters` commented out or set as ['unfiltered'].\n", + "See the function documentation for the full range of available filters and filter_combinations.\n", + "The code accepts lists of multiple filters and filter_combination tuples." ] }, { "cell_type": "code", - "execution_count": 32, - "id": "bc3f71b5", + "execution_count": 13, + "id": "159f4544", "metadata": { "tags": [] }, @@ -1234,7 +1207,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 35/35 [05:02<00:00, 8.65s/it]\n" + "100%|██████████| 35/35 [01:13<00:00, 2.10s/it]\n" ] }, { @@ -1246,13 +1219,13 @@ "Interpolating model weights using 'idw' interpolation\n", " weights\n", "tide_model \n", - "FES2012 0.408641\n", - "GOT4.10 0.408046\n", - "FES2014 0.403818\n", - "TPXO8-atlas-v1 0.403729\n", - "TPXO9-atlas-v5 0.403569\n", - "EOT20 0.402051\n", - "HAMTIDE11 0.390787\n", + "HAMTIDE11 0.343471\n", + "EOT20 0.341870\n", + "FES2014 0.338001\n", + "TPXO9-atlas-v5 0.332146\n", + "GOT4.10 0.326536\n", + "TPXO8-atlas-v1 0.316927\n", + "FES2012 0.308876\n", "Reducing multiple models into single ensemble model using 'mean'\n", "Returning low resolution ensemble tide array\n", "Calculating unfiltered exposure\n" @@ -1261,7 +1234,7 @@ ], "source": [ "# Calculate exposure\n", - "exposure_ds, modelledtides_ds = exposure(\n", + "exposure_filters, modelledtides_ds = exposure(\n", " dem=ds.elevation,\n", " start_date=start_date,\n", " end_date=end_date,\n", @@ -1273,13 +1246,13 @@ ")\n", "\n", "# Write each exposure output as new variables in the main dataset\n", - "for x in exposure_ds.data_vars:\n", - " ds[f\"exposure_{x}\"] = exposure_ds[x]" + "for x in exposure_filters.data_vars:\n", + " ds[f\"exposure_{x}\"] = exposure_filters[x]" ] }, { "cell_type": "markdown", - "id": "191ae051", + "id": "1984084e", "metadata": {}, "source": [ "### Spread and offset\n", @@ -1294,8 +1267,8 @@ }, { "cell_type": "code", - "execution_count": 33, - "id": "bbcf0447", + "execution_count": 14, + "id": "20801964", "metadata": { "tags": [] }, @@ -1316,7 +1289,7 @@ }, { "cell_type": "markdown", - "id": "9b4bb4f8", + "id": "36f3df15", "metadata": {}, "source": [ "## Plot all layers" @@ -1324,8 +1297,8 @@ }, { "cell_type": "code", - "execution_count": 34, - "id": "585debfe", + "execution_count": 15, + "id": "b362949e", "metadata": { "tags": [] }, @@ -1696,228 +1669,205 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", - "
    <xarray.Dataset> Size: 325kB\n",
-       "Dimensions:                (y: 69, x: 69)\n",
+       "
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        "Coordinates:\n",
-       "  * y                      (y) float64 552B -1.852e+06 -1.852e+06 ... -1.853e+06\n",
-       "  * x                      (x) float64 552B 9.51e+05 9.51e+05 ... 9.516e+05\n",
+       "  * y                      (y) float64 2kB -1.286e+06 -1.286e+06 ... -1.288e+06\n",
+       "  * x                      (x) float64 3kB -1.404e+04 -1.404e+04 ... -1.088e+04\n",
        "    spatial_ref            int32 4B 3577\n",
-       "Data variables:\n",
-       "    elevation              (y, x) float64 38kB nan nan nan nan ... nan nan nan\n",
-       "    elevation_uncertainty  (y, x) float64 38kB nan nan nan nan ... nan nan nan\n",
-       "    qa_ndwi_corr           (y, x) float64 38kB nan nan nan ... 0.1206 0.1207\n",
-       "    qa_ndwi_freq           (y, x) float64 38kB 1.0 1.0 1.0 ... 0.9895 0.9896\n",
-       "    exposure_unfiltered    (y, x) float64 38kB nan nan nan nan ... nan nan nan\n",
-       "    ta_lat                 (y, x) float32 19kB -1.849 -1.849 ... -1.848 -1.848\n",
-       "    ta_hat                 (y, x) float32 19kB 2.012 2.012 2.012 ... 2.011 2.011\n",
-       "    ta_lot                 (y, x) float32 19kB -1.756 -1.756 ... -1.755 -1.755\n",
-       "    ta_hot                 (y, x) float32 19kB 1.802 1.802 1.802 ... 1.802 1.802\n",
-       "    ta_spread              (y, x) float32 19kB 92.15 92.15 92.15 ... 92.17 92.17\n",
-       "    ta_offset_low          (y, x) float32 19kB 2.418 2.418 2.418 ... 2.41 2.41\n",
-       "    ta_offset_high         (y, x) float32 19kB 5.436 5.436 5.436 ... 5.423 5.423
    • y
      PandasIndex
      PandasIndex(Index([-1286045.0, -1286055.0, -1286065.0, -1286075.0, -1286085.0, -1286095.0,\n",
+       "       -1286105.0, -1286115.0, -1286125.0, -1286135.0,\n",
+       "       ...\n",
+       "       -1288135.0, -1288145.0, -1288155.0, -1288165.0, -1288175.0, -1288185.0,\n",
+       "       -1288195.0, -1288205.0, -1288215.0, -1288225.0],\n",
+       "      dtype='float64', name='y', length=219))
    • x
      PandasIndex
      PandasIndex(Index([-14045.0, -14035.0, -14025.0, -14015.0, -14005.0, -13995.0, -13985.0,\n",
+       "       -13975.0, -13965.0, -13955.0,\n",
+       "       ...\n",
+       "       -10975.0, -10965.0, -10955.0, -10945.0, -10935.0, -10925.0, -10915.0,\n",
+       "       -10905.0, -10895.0, -10885.0],\n",
+       "      dtype='float64', name='x', length=317))
    • " ], "text/plain": [ - " Size: 325kB\n", - "Dimensions: (y: 69, x: 69)\n", + " Size: 5MB\n", + "Dimensions: (y: 219, x: 317)\n", "Coordinates:\n", - " * y (y) float64 552B -1.852e+06 -1.852e+06 ... -1.853e+06\n", - " * x (x) float64 552B 9.51e+05 9.51e+05 ... 9.516e+05\n", + " * y (y) float64 2kB -1.286e+06 -1.286e+06 ... -1.288e+06\n", + " * x (x) float64 3kB -1.404e+04 -1.404e+04 ... -1.088e+04\n", " spatial_ref int32 4B 3577\n", - "Data variables:\n", - " elevation (y, x) float64 38kB nan nan nan nan ... nan nan nan\n", - " elevation_uncertainty (y, x) float64 38kB nan nan nan nan ... nan nan nan\n", - " qa_ndwi_corr (y, x) float64 38kB nan nan nan ... 0.1206 0.1207\n", - " qa_ndwi_freq (y, x) float64 38kB 1.0 1.0 1.0 ... 0.9895 0.9896\n", - " exposure_unfiltered (y, x) float64 38kB nan nan nan nan ... nan nan nan\n", - " ta_lat (y, x) float32 19kB -1.849 -1.849 ... -1.848 -1.848\n", - " ta_hat (y, x) float32 19kB 2.012 2.012 2.012 ... 2.011 2.011\n", - " ta_lot (y, x) float32 19kB -1.756 -1.756 ... -1.755 -1.755\n", - " ta_hot (y, x) float32 19kB 1.802 1.802 1.802 ... 1.802 1.802\n", - " ta_spread (y, x) float32 19kB 92.15 92.15 92.15 ... 92.17 92.17\n", - " ta_offset_low (y, x) float32 19kB 2.418 2.418 2.418 ... 2.41 2.41\n", - " ta_offset_high (y, x) float32 19kB 5.436 5.436 5.436 ... 5.423 5.423" + "Data variables: (12/13)\n", + " elevation (y, x) float64 555kB nan nan nan ... -1.013 -1.026\n", + " elevation_uncertainty (y, x) float64 555kB nan nan nan ... 0.1344 0.1211\n", + " qa_ndwi_corr (y, x) float64 555kB nan nan nan ... 0.4645 0.4465\n", + " qa_ndwi_freq (y, x) float64 555kB 0.9948 0.9948 ... 0.9344 0.9399\n", + " extents (y, x) int16 139kB 5 5 5 5 5 5 5 5 ... 3 3 3 3 3 3 3\n", + " exposure_unfiltered (y, x) float64 555kB nan nan nan ... 17.0 17.0 16.0\n", + " ... ...\n", + " ta_hat (y, x) float32 278kB 1.973 1.973 ... 1.998 1.999\n", + " ta_lot (y, x) float32 278kB -1.7 -1.7 -1.7 ... -1.679 -1.679\n", + " ta_hot (y, x) float32 278kB 1.809 1.809 ... 1.854 1.854\n", + " ta_spread (y, x) float32 278kB 79.58 79.58 ... 79.04 79.04\n", + " ta_offset_low (y, x) float32 278kB 16.69 16.69 ... 17.73 17.73\n", + " ta_offset_high (y, x) float32 278kB 3.733 3.732 ... 3.228 3.226" ] }, - "execution_count": 34, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -1929,8 +1879,8 @@ }, { "cell_type": "code", - "execution_count": 35, - "id": "69ca716c", + "execution_count": 16, + "id": "6cf50c53-dd59-4077-9bc1-fb75d78d6182", "metadata": { "tags": [] }, @@ -1946,9 +1896,9 @@ }, { "data": { - "image/png": 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7OEmSrhtG69at4yVLlvArXvGKctnq1at5vPuZAHjevHnl38gz2b/pi1/8Yt53330n/Aw8r3zlK3nx4sWTWlcQhKlhstfksbEx3m+//XjlypV855138uLFi/nQQw+Nrin+PLds2bLoGrJ27VpesGABP//5zy+XTfY6OZnv8pt6Ldyc3xaCIGw5tolyws9//vO45ZZbomlj4eTf+MY3sNdee2HfffdFnufldNRRR0UdOBYuXIhjjjkmKg177LHH8G//9m941atehSSpYse+//3v4/nPfz7mzZsHrTXSNMX73vc+PPLIIz1LATbGhg0bcPPNN+O4447DnDlzyuVaa5x44on43//9X/z3f/93tM1LXvKSaH6fffYBgHFL3zwPPPAAtt9++3HzSerd8PbYYw8ANky3vvzRRx8tSwq/8Y1vgIjwN3/zN9HnvGTJEjztaU/bpE4nL3nJS5CmaTl/11134b/+67/wyle+EgCi8V/4whfiwQcfLD+fZz7zmfj3f/93nHHGGfjhD3+I0dHRSe/XB7qfcsopAGwJxkknnYR77723pyXac8opp+DrX/86HnnkEVx66aU4/PDDxw0tXrVqFX7961/jxhtvxNlnn43nP//5uOWWW/DmN78ZBx10EMbGxiZ9vCE77LAD/vjHPz6hbQVhayHn8Ioneg7fVF70ohdBaz3ufn73u9/h97//PV7zmteg1Wr1HGNsbAzf+9738Fd/9VcYHBzsOgePjY11lSi+7GUv26TjfPjhh/HGN74RO++8M5IkQZqmWL58OQDgt7/97Ua3X7JkCZ75zGdGy/bZZ59Jf55vetObACDKMbzooouw99574znPec6E2z7wwAMgIixatKjn6y984QujMsOJrqsAcN999wGwnWzzPMerXvWq6DNvtVo49NBDN+m6+tznPhfz588v5zflb/rMZz4Tv/71r3Hqqafi29/+dlfDkpAddtgBDz/8MPI8n/SxCYIwNWzsmtxsNvEv//IveOSRR/D0pz8dzIyrr746uqZ4jj322OgaMjw8jGOOOQY/+tGPUBTFJl0nN+e7/Hhszm8LQRC2HNuEiLXHHntg//33j6ZnPOMZE27z0EMP4Te/+Q3SNI2m4eFhMHOUt3HKKafgj3/8Y1nnffXVV6PdbkedqX7+85/jyCOPBGC/7P7Hf/wHbrnlFrznPe8BgCd0on3sscfAzD2zkpYtWwbAZimFLFy4MJr34YQb2//o6Oi4P1QAYMGCBdF8o9GYcLkXXR566CEwMxYvXtz1Wf/sZz/ryjWZiPrn8NBDDwEA3v72t3eNfeqppwJAOf4nPvEJvOtd78K1116Lww8/HAsWLMBLX/pS/M///M+E+1y3bh2+/OUv45nPfCa23357/PnPf8af//xn/NVf/RWIqBS4enHccceh1WrhH//xH3HdddfhNa95zYT7UkrhOc95Dt73vvfh61//Oh544AEcf/zx+MUvfoHLLrtso59PL1qtVl8u8oKwJZFzeMUTPYdvKhvbz//93/8BAHbaaadxx3jkkUeQ5zk++clPdv0dXvjCFwJA1zl+U7oHGmNw5JFH4mtf+xre+c534nvf+x5+/vOflyLKZD6T+vsE7Hud7Oe5ePFiHH/88fjMZz6Doijwm9/8Bj/+8Y/x5je/eaPbjo6OIk3Tnj/sgM27rgLAAQcc0PW5X3PNNZt1Xd2Uv+m73/1ufPSjH8XPfvYzHH300Vi4cCGe97zn4dZbb+3aT6vVKoPjBUGY3kzmmvykJz0JhxxyCMbGxvDKV75y3HP7kiVLei7rdDpYv379Jl0nn+h3+YnYnN8WgiBsObaJ7oRPhEWLFmFgYGBccSC8c3rUUUdh2bJl+NznPoejjjoKn/vc53DggQdGrWa/9KUvIU1TfOMb34jEoGuvvfYJH+P8+fOhlMKDDz7Y9ZoPkx3vDu+msmjRIvzyl7/sy1j1cYkIP/7xj3t2+9iUDiB1l5h/7+9+97vH7fz0lKc8BQAwNDSEs88+G2effTYeeuih8k7OMcccg//6r/8ad59XX301RkZG8POf/zy6W+3513/9Vzz22GM9XxscHMRf//Vf49xzz8XcuXM3uTvV0NAQ3v3ud+Oaa67B7bffvknbeh599NEn3LJeEKYzcg6PabVaePzxx7uWP9Ev277T3//+7/+Ou878+fPLu+WrV6/uuc7KlSuj+U3pRnj77bfj17/+NS6//HK8+tWvLpffddddkx6jH/zd3/0drrzySvzbv/0bvvWtb2G77bYr79JPxKJFi9DpdLBhwwYMDQ317Xj8v5mvfOUrpSvtiVL/e2zK3zRJEpx++uk4/fTT8ec//xnf/e538fd///c46qijcP/990edCB999FE0m83IaSEIwszln//5n/HNb34Tz3zmM3HRRRfh+OOPx4EHHti13po1a3ouazQamDNnDpIkmfR1cjLf5Tf1Wrg5vy0EQdhyiIg1Di9+8YvxoQ99CAsXLuz6kl3Hf6G78MIL8eMf/xi33norPvOZz0TrEBGSJInuuI6OjuLKK6/sGm+yd4GHhoZw4IEH4mtf+xo++tGPlm2vjTH4whe+gJ122gm77bbbZN7uRtl9991x9dVX4/HHH8e8efP6MiZgP+cPf/jD+OMf/4hXvOIVE667KXfHAXsRefKTn4xf//rX+NCHPjTp7RYvXoyTTjoJv/71r3HhhRdiZGRk3Lbfl156KYaHh3Httdd2dQm89dZb8Y53vANf/OIXx70r/6Y3vQkPPfQQDj300Amdbg8++GDPu1C+XMbfjdoU8jzH/fffX949F4TZhJzDY1asWIEvf/nLaLfb5c2BRx55BD/96U8xd+7cTR5vt912w6pVq3DZZZfh9NNP73nDYXBwEIcffjh+9atfYZ999ikdQ5vKeG4z/+Oivu/6325z2Zjb7RnPeAYOPvhgnHfeebj99tvx+te/flKi1O677w4A+P3vf1+Wa/aDo446CkmS4Pe///1GyzPD9+b//U3EE/2bbrfddjjuuOPwxz/+EaeddhruueeeSCT+wx/+EM0LgjBz+c///E+85S1vwate9Sp89rOfxcEHH4zjjz8ev/rVr7pu6n7ta1/DRz7ykfI78Lp163DdddfhkEMOgdb6CV8nx/suv7nXwif620IQhP6yTYhYt99+e8+chVWrVpV3k+ucdtpp+OpXv4rnPOc5eOtb34p99tkHxhjcd999uOGGG/C2t70tuqNwyimn4LzzzsMJJ5yAgYEBHH/88dF4L3rRi3DBBRfghBNOwOtf/3o88sgj+OhHP9rzi//ee++NL33pS7jmmmuw6667otVqYe+99+55nOeeey6OOOIIHH744Xj729+ORqOBT33qU7j99ttx9dVXb9Jd7Yk47LDDwMy4+eaby5KafvAXf/EXeP3rX4+TTz4Zt956K57znOdgaGgIDz74IH7yk59g7733LjNH9t57b3zta1/Dpz/9aTzjGc+AUgr777//hON/5jOfwdFHH42jjjoKJ510EnbccUc8+uij+O1vf4tf/vKX+PKXvwwAOPDAA/HiF78Y++yzD+bPn4/f/va3uPLKK3HQQQeNK2Ddfvvt+PnPf443velNeO5zn9vzvX3sYx/DpZdeOq6Ite+++07KyfHUpz4Vz3ve83D00Udj1apVGBsbw80334yPfexjWLx4cVcp4po1a/CVr3yla5wVK1aUn9lvfvMbjIyM4PDDD9/o/gVhKpFz+OZz4okn4jOf+Qz+5m/+Bq973evwyCOP4Pzzz39CApbn4osvxjHHHINnPetZeOtb34pddtkF9913H7797W/ji1/8IgDg4x//OJ797GfjkEMOwZve9CasWLEC69atw1133YXrrrsO3//+9ze6n7322gsA8E//9E8YHh5Gq9XCypUrsfvuu2PVqlU444wzwMxYsGABrrvuurIstF+sWrUKAwMD+OIXv4g99tgDc+bMwbJly6KbB3/3d3+H448/HkRUlpRsDN/m/Wc/+1lfRawVK1bg/e9/P97znvfgD3/4A17wghdg/vz5eOihh/Dzn/+8dCsAKP9dnnfeeTj66KOhtd6oODXZv+kxxxyDvfbaC/vvvz+233573HvvvbjwwguxfPlyPPnJTy7HM8bg5z//+UZL6gVBmB5MdE0eHBzEK17xCqxcuRKf+tSn0Gg08C//8i94+tOfjpNPPrnrO6/WGkcccQROP/10GGNw3nnnYe3ateU5Cpj8dXIy3+X7cS2c7G8LQRC2IFOVKL81mKiLBgD+7Gc/W65b72zFzLx+/Xp+73vfy095ylO40WiULaXf+ta3dnUTYmY++OCDGUBXu23PZZddxk95ylO42Wzyrrvuyueeey5feumlXR2T7rnnHj7yyCN5eHi4bLPN3LuzFTPzj3/8Y37uc5/LQ0NDPDAwwM961rP4uuuu6/lZ1Dt1+Y5QG+v6VBQFr1ixoqszlt/+y1/+8qT2d+aZZzIA/r//+7+uz+bAAw8s38OqVav4Va96Fd96663lOo8++igfd9xxvN122zERlR2V/OfykY98pOex//rXv+ZXvOIVvMMOO3CaprxkyRJ+7nOfy5dcckm5zhlnnMH7778/z58/v/z7vPWtb+U//elP434mviPUbbfdNu46Z5xxBgPgX/ziF8w8uc6BvTpxfeYzn+Fjjz2Wd911Vx4cHORGo8GrVq3iN77xjXz//fdH2y9fvnzcf/Phv/F/+Id/4EWLFpXt1AVhuiHn8O7P4omew5mZr7jiCt5jjz241Wrxnnvuyddcc824HZl6nU8B8Jlnnhktu+mmm/joo4/mefPmcbPZ5FWrVvFb3/rWaJ27776bTznlFN5xxx05TVPefvvt+eCDD+YPfvCDXe+jfi3xXHjhhbxy5UrWWkef4Z133slHHHEEDw8P8/z58/nlL38533fffV3HOl53wqc+9ald+6p/JszMV199Ne++++6cpmnPz6HdbnOz2eQXvOAFPY9/PA455BB+4QtfGC0b72+wqdfba6+9lg8//HCeO3cuN5tNXr58OR933HH83e9+Nzru1772tbz99tuX11X/GQHg1atX9zzuyfxNP/axj/HBBx/MixYt4kajwbvssgu/5jWv4XvuuSca63vf+150nRQEYXoymWvy3/zN3/Dg4CDfcccd0bb+u+0//uM/MnN1njvvvPP47LPP5p122okbjQbvt99+/O1vf7tr35O5Tk72u/zmXguZJ/fbQhCELQcxM/dBCxO2AT72sY/hnHPOwR//+MdJlR0I05eiKPCkJz0JJ5xwAs4555ypPhxBEIQZzXXXXYeXvOQl+OY3v7lJJdpf/epXcfzxx+Pee+/FjjvuuAWPcPpy4okn4g9/+AP+4z/+Y6oPRRCErcQ999yDlStX4iMf+Qje/va3T/XhCIIww9gmuhMK/WH16tWYN28eLr744qk+FGEz+cIXvoD169fjHe94x1QfiiAIwozlzjvvxL//+7/jbW97G/bdd18cffTRm7T9scceiwMOOADnnnvuFjrC6c3vf/97XHPNNTjvvPOm+lAEQRAEQZghiIglTJpWq4Urr7xykzoGCtMTYwy++MUvYrvttpvqQxEEQZixnHrqqXjJS16C+fPnP6EMMyLCZz/7WSxbtgzGmC10lNOX++67DxdddBGe/exnT/WhCIIgCIIwQ5ByQkEQBEEQBEEQBEEQBGHaI04sQRAEQRAEQRAEQRAEYdojIpYgCIIgCIIgCIIgCIIw7RERSxAEQRAEQRAEQRAEQZj2JFtiUGMMHnjgAQwPD29yyKkgCNsezIx169Zh2bJlUOqJaetjY2PodDp9Pa5Go4FWq9XXMYUKuVYIgrApyLVi20SuFYIgbApyrZj9bBER64EHHsDOO++8JYYWBGEWc//992OnnXba5O3GxsawcvkcrHm46OvxLFmyBHfffbdccLYQcq0QBOGJsFnXipU7Ys2aR/t6PHKt2LLItUIQhCfCZl0rVizDmoce6+vxzJ07F0uXLoVSCqtXr8bq1av7Ov62xBYRsYaHhwHYfzhz587dErsQhGnBXy1+HaA1KE0ApYEkASkFJBrQCpym4EYKbmqYVIMTBU4IJlUwmsCKwAnAimC0fYQGmACjCSYFTAKYxD5n7SYVPjJYA1CwY2gGKwAJgzUDqQGlBkobKGWgEwOtGYkySLRBogokykArYx/JQCtGQvY1RcFz2OeKDDQxFABFBooYCvYxJbvNgOqgpXIMqDYGVRvDqo05ahTDqo0mFdBgKDA0MdavNzj8wP8rzx2bSqfTwZqHC9z7ixWYO9yfKum16wyWP+MedDod+WGyhfB/79133x1a6yk+GkHYctx55/0YbG6PocYSzFc7Yr5ZhIV6EAsaCRa0CO0C2JAxNmQG64scgyrBUKowp0GYkwCjBTCWM0ZyYCw3KMAomJGzAQNISSEhQlMpaEXQBCgCNAEMYKxgjOYGo6aAYQMiggJBEaFgRodzjKGDMWqjTaNoYwMyHkWb1yOhFlo0jAEexgDPgULshGkiRRMJmipBgxQampAqQlMDSe10zAxkBugYIDeMTsHIYJAZg4INcph4fTByGBQokMMg5zH8et3nN+9aseZR3HPvv2Du3MEnNEadtWtHsGL5K+RasQWR3xXCbOd5y/8ymm9SUpuPvyMt0EPxvGqUz4dr686pOZF2HozPswsG82h+bm1+eG48P29njo9th/i8l8wfiObVUDOeb8TvjZpp9bwVr4vasat58ftWCxfEYyV27LXrR7Hi4NM271rx0GO47zf/jLnDfbpWrBvBLvu8Vs5jfWKLiFje6jt37lz5IwmzmoQaAGkQORFLORFLJYBSYJ26ScMkSSViJQom6S1ieXGKNIFSgBKAUvu8S8TSgAlELOhA1KqLWEkoYlnRSmsDrbtFrESZniKWprqIxaWIpUsRS0ERo6UYLQUMqAIDqsCgzjGkNIaUQos4ErE8m1smMGeYMGe4P6UGBlKysKXxf2+ttYhYwqyGiECkoSiBpgYSaiKlJhoqQVMpgIFMGXSUQWo0UpWgoRSaSqGpAMOAUYxcMQploNiePwmBiKUIqbKPlYhFYACGDXJlkHOBAlbE0k7EUmAYaCQgaGJoKqDQgUIOhQSKEihKodFAggZULU41QYoECVJKkCqFVBEabuolYtn/1zMIDGYG2ABkQDBADxHLno0LAAXYvb6514q5c1qYO2dg4ytOBmM2vo6wWcjvCmG2k9REq0Sltdfj70hp7fVGIGLVBa9WTQga1PE5a0jHrw8l8fl1ThrPDzdiEavVakTzyUA8r+rzzfjYJxSxasemhmLBTA3H53EvYpXzm3utGB7s2w0Pob9sERFLELYplAJIAUT2ZKm1/fWglD35KgBE9pu7ckIVwc4TwOTnyYpT5NZR7nVF5bp2/XjyRJcUYjAxQPYXAxGD/GEQR5MKp3gU+/bcawB6vt5rPU3GLXMCl3Nqabf9vrvcH227du1aAPMm/ZELgiDMJFI9B6keQkLVF3RmK04VBijYnzsJCVk3FQAYZuRMyAyjYLtewQwDdvKVhQhQIPjv61a4ss/8Pnj80zcYfkz7vwoaRAoaKTRSKOgu8SrEinRwLjCCIndMRDC1Hfu5cLEiAoGg3EXNgMFg/Gn5DdG2RVEAd4z/PgRBEARBmP2IiCUIm4PWIK3cLW/tJgVoDU4TsNZ2ShRYK+e0cg6swHUVTZrK58Y5rEpxy4tWpajFViQrJzfvX1cAKbYamzJQiu0PDWJoZUUnK24FQlUpaplS2PLOq/Jt93BhASjdWAqMVOVIqUCDcqSUQ3sH1wRC2OZSsEHRp+ELlrvrgiD0h6HWErT0XDRpDjTbr14GjI5hjBVc+o+0AlpaIXWXlYKBsQLoFEC7cOV3tXOTPdUTtKKohJBhS/cKZieCVeKXBkVn4krAKmBgswU1UjBaSKjpfVo9hSwF6+rSREiV3b8mKi9FXshitj4rw1ZYM26/yh2LdYZpFGwigW6LYEz/HFTixBIEQZiVsCnARX/ydtnYcQ444ABorSUTazMREUsQNgPS2rqwlLYuLOUErETbXKxEgVMnYGkqc7BQZlp5wSp+NLr+Okoxq6crC8HzUMhSDCjvugKUsiWFdSdW+X4CR1bo0AIQLOv9hT10YWknVmkYJ2QVSFFAY8uKWHV3wuaOJQiC0A+2S3ZGgiYSpFCugK9gRu5ELOUsVAkRdEJlMXNubJeljrFTxgYZG+u6Alw5IDknFkoXlHdtZQYo3HY5G7ATshQz4MQlf94sKEdOOYwv2YNCQk0kaDo3lhWwfCaWP0eSK0tMlc3lShVBW3NyhEHlPuPa+ZUISKDcsVhHVoYtKA6JiCUIgiBMAbfccouURfcBEbEEYXNQ5EoGqXRhsbbB7py6yeVgVS4sVE4sFQtVkYAVTl7AQs2VFU6BeMVOvIJi68QiLl1YBJQuLF0rJQxdWCGhC6v3xxC4uFzWVUqFmyon1pYUsARBEKYrC3hJlzBesEHmxCntHFQ+z8oKPTb8PAPQKRidogpAZxA02YsCkRO/VOV8KphRGCAzBrmxAfCFC0kHrABF3pEVClnIytwpDZtTkqKJlJvQrLtC3T2a7HF7AUu7UkIvqHn8+zJsxTlfUqhgL04EwLBNwJIbCYIgzBaeOf950bw/f3uatYyreq7VEh0HlM+trb9AVT/ph1V8nl7cir/Tz2vFQe3NRuw0mjMcvz5nUbx9c4c4hyqZV8upqmdeJfF7odrrSMbPRK1nZKm5Ewe16xUn2se1awG8YcJ1hZmNiFiCsDk4JxYp5QOnbKB7YicTlhEmvcoIQwGLKseVdmWFOnBhUeDEUrC5V8HyXi4sCibvwtLOiaWVLf3z7qvQhQUEghSZcV1Y9VLC0oXlSgdTyqHBSFG4roUmcn71G1N6CPozliAIQj9YyPPQRo4MOdrUhnGCUtsU0DmhoQFS9rGhyHbuM1YAyg2jbey6HS6QoUDqCgI1vBPLZkp5EaztnFi5YbS5ALPdX+WA8vHqcI/27Fm4XoDeeaWRIuEESY9SQuVi5ZU7hrKcUHmXmL0ceQcWc5yHZdyMd2x5d1lB1l68RUUsf0D9GksQBEEQhK2GiFiCsDkon4mlYheW1jCptkJUMk4ZYSBKlWJW2XnQdysMXFi+hLAuaPlsrPJ1rrKyfJ68sk4sn4WllXE/MrpdWAiXR24tJ1YF4ta4HwsZJ2oxUsrRoKqUcMtmYnEZkNyPsQRBEPrB/EYTG3KNEaOQs73rXcCW+I2ZAtrdRdcEtDQwBkLH5ViNFVbAytkgQ4EMucuhqpxYCr4bYSUK5WwFrA7bu+peFCrFJ19SGLiwCmTlMWukSLmJBBqaEygnV3FN4PcClneSefGqjuEqD8sfj8/nSlxjFA0r4G1xDPexnFCuFYIgCIKwNRERSxAm4MjG/7OZVw7SCkhT+5gkVZi78kKWFa58f3NOwjD33mWERtfLCQNHVi3UvRK9OBCwAqErcGpVLizrwPJuq7AjYd2FBVQdBXsJVb3KCuvdDasywqIUsJ678r+30F9IEARh6vnNb+4EURNKNaBVC4PNHbAwXYUdzQosTYcAqrKkrMNJQ0NBk0JKqhShAOtW8i4q68KyAlbuotcpkIi8CwqwWkpmuConZEbhtqv2XZWZGDAMFygCD6sfW0FBsYoELL8tBc81bFmMVjSugMVwbixUeVjjyUd3Lr120z98QRAEQdgS5Lmd+jUWJNi9X4iIJQgT4QUsRWVwOxHBtfuzZYTKua8S15lQqdJpVYavT1hGWHNchU6rWpB7KGBFJYSufLByYVV5WN6FpWodCXtmYdUcWQB6ilmeeimhLxnU4DIDS23FsjwJdhcEYSogStFItsNAcxGGku0xRAsxl+cjgcKI62yUsS3n09BoQKNJCVpKYyBRNkuKCMxAO+hGOFYYjHFelgF60SqFhnaB7oAViQpm2MaFrouhibv8he4t34fQgJEhR0G5W8cWKGqk0EhBXJek7DgJlCswJDSUsg4wVMdi13PzvjMhMwqu8rBCDKMsZd8qSLC7IAiCMAVIsHt/EBFLEDZGIGBZ11WPMHfXjdBnYXFik229C6u7G2FNzKp1IyyFrHCqC161ZVXAOyoBqwx057Ir4XhZWPatGoQlhaHzyj8PM7OiRydcVWHuRZmPJQiCMJshStBqzMeCdCWWmuUY5CqMdsTYEj12IrsXoRpKYSBRGEysCATYDCzjOha2jUGbC4yh43xbVApRmhQScgV+ZEWh3JfpMdAxNsg9FL/8dnYdm36VIXf/WaFNe3mKVdCNsDsLS0MhJY2UFJpKlV0RfWWdIkS3L0zQlbBeqc0MGGLXrUQQBEEQBGFiRMQShI1QClgus6MrzN25sVjbLKyqZJAqFxb16kbY7cbamAurzL7yr/sg95oLi3QY6O5zrTBuFhYAdDuy7E+QXkHs9des4GVKF5YPfPdi1tbCugvEiSUIwtZFUQMDyUIsNrtgeWMempqwPjNYV2QY4VHkKGxpnhOjEif+tDRhILHiTWEYmbGPHcMYKwqMcYY2tZFyAykS648iDU1U9hIBrEBUuC6DBTMyNsicUGUiIYvKM1uBAhl1kKFTlhNqpFCsXLA7BUJWJTAp1xmxoex7aGgb6E6BBhXGRPlAdwZQGCtu1WOkSiFrayFOLEEQtiL1boR16t0IF+qhaH6Q4p/sc2vrhx0Jt2/G59LtWvH38IFGfM5auKATzbfmxK+3to/3nQw3onlqxq9Tq9adsN6NcALq66qBuPMhmvG+kyedPOmxhdmFiFiCMBH+olCKVb4DoXdmVWHuSBQQurDIubAIPcsIEYhVXd0Jay6sspSwVkZot+sWtnq5sLwDS9XcWPZtck8Xlndd1V1YQHcpoXKh7YoMGpRXZYVSTigIwixHqQaG1Q5YTMPYeY5GqoAHR4CRUcIGGkFGbQzwIJrcRIoGUif+tDRhKAEyA4w5sccLWB0u0EaGURoBAGjWQYi6nRKnHPkMLC9e+VJBfx4j18EwIWWXMZCjQBtjKCi3chWrQMBSoMCNFUIgpC7Lq6mV7UhINk2r11nTilbsRLaqlJA5Fse2ai8NEbEEQRCEjVEYO/VrLEgmVr8QEUsQNoZzWvV0YTlxy3YhVDA+yF3Vg9ypFKHsY4+yQl2JXQiErjD/CoH4Fbm3lK/h4CDQnctAd6u9TZyFVb7dWgZWPQ8rfi0sN7ROrJQKKBg0XFnhluxGKAiCMB1QlGCYF2D7gRQrhuw5cjRX+NOYwgjWIkcbCgopGqUQ1VBWxBrQ9lTfMQTDBp2C0TEGbeQYpVF0MIoECVoYAJEVkMgFxZMTsQwMMjYY4wwdVxro49MpcFMRAYrJlTYaZNRGhjZSNAGquhFSVE4Yl/mVx+9EOK3cpWmcakDmqpywcBas8CaBfy4NYQVBEITZjmRi9QcRsQRhAsgJVZWARbYzYZiFFYS5+x7ndRcWynD37hyrLveVF6zQ3ZGwcmZVZYSlC0tzlwtLKeu6Cl1Y3n0VdikE4i6DQFVe6ImELoqfe+ErpQLaCVgKpnRmbS28G6FfYwmCIEyWAhkywxgzVjbK2IW5k4FBVc7hs62UKwn0hl/DtpxwrPBuqsJ1MkyQouHSqqyAVO7TVAJQwdZ9Ve/9V3YvdHlUvtNhRhkK5E7OMtBA5MDyHQmpJmZpUpUbbAIBy7hzqPHlhOOcUv0x9asUfFJwH51YLE4sQRAEQdiaiIglCBPhuw+WApUuBSwb8u6C3DWBdeDCSihyYdVdV3FpIEUlg9EUCFhluWAodJXdCSsByzZOrILcywkTZWGZmqtq4z8mfO6VD2/3pYM+B6vhOhVuTQzQt+JF+VkiCMJkMZxjPf0Zj7WX4sHRBjQBf25bZxQIZYle3dXkYQC5caWEJkeGAgSFlFMMYq4rQ9RISEErckHurusfbBlhVToYi04K1nlVsEEbVuzKkKNAhgJZJLCFeAErHCecutYnAiEuKfR5WL0gqgSsnK3zbGtBbEB9Ep/6NY4gCIIgCJNDRCxB2AjWjaUApauQd+WysLSKhC72HQmdABVlYdVyrRAIUaEwNWFXwlK0AkCMOA/LiVhlFhbKQPfQhVXPwooeN3InvJ6bVQpigRDmywhVmZkljiZBEGY3hnOM8Vo8wiNYM5IgVcDjnRxtZCDb7w8EPc62Ppgd6BQGo8hKQSqBRsIaLTTQII1EWYmqgHdfMXKO869C0Sl8LGBQlC6sDgrKYf1PJnJveQ+W39ZP5Lsjuk6EUWSkE7B8h0LvvPKj1oPcQxiwpZNob+rHLgiCIAhbDM4LcN6fGyyc2xtGkonVH0TEEoSJKEPcAyeWsq4rW0LoXViB60rHLqw4w4oisSp8LXJgIZznbodW5Naqu7CMzcJy03gdCSsxqt5p0GxUzArD2r0Ty7qvXKB76c7auneoiz52J9yqpS2CIMxojOlgtHgMjyb/h6GxBhJS2MAdjNIYgEoY8i4pjy+xKxjIDKNtCoxizOVnpWVHwgZpNJVG4kr4Cmee8i4mW0YYln9XwhMAMLjsVJghQ4YOcmRWwGJTXXcCoiytUsBSZRZXfRNF9n5KeNa3eVg9OtyWwhqXzrAxF2C/VZBgd0EQppCmirvwDau4C99QrRvhUFc3wvhaMhysPqfWfbCZ1LoVzs3i1wfi1wcXxWf3dH58bGqoGc13dSfUasL5OpQE2ye1seYMTrjtTEQysfqDiFiCMBFKVS4sFbqunAsrqfKwygws902+7sIK3VhhR8Kw82D4CCAWwHwulg9y98KXYpCugty1dllYQaD7uB0JUXNi1bKuJiLsSqicYFUGuqNw+Vi8VZ1YhXMz9GssQRCEycCco5Ovw5/1H6EpQRMtZNRBTrnLtUqjMjwDduKOE5kCV1WHxmwHQ06RQqOlEtsNUBES5YUp658qwMhcOWDoxAqFJwCuaLBABxkyyuyxoY2CMyjosqSwV+lgKGD5TK76T5Ky+t0JWQX7roTemVVP6qrIYdCmNkZpA1rjrNN3/IH1ayxBEARBELYaImIJwgRQ5MTyJYPKhbqP58IKuxJ2h7iHeVZleWEoYKFb0ArLCqvtuHJp1YQsW1JoXVg6CGzv5cKqlxLqSMjq/bOjaxs3ri8lbLiA962diSUIgjAlcI529jjWkUKetNFQc5BQExopUjSRcALNvb9yMYCcgcy4sjraADDQwgBS0mgpjVRZB5Z2DigiKsPcOyi6xKdQeGLnhMpRIKMMHRpFGyMonBOrfpYOHWOqJmAlLtS9vDTClhKW27qcK5+yNRl5h8HI0MEYr916IpYgCIIgCDMWEbEEYSKslanbhRVM7DoSli4sci4s+0uj22FVClLUVUYYiVSq6khYlg36TCwf8h5kYfmOhGEWVj0DazwXVr20cPyPg8sSQUVsywhVHpcSgvHclf/dv7/BJiDB7oIgTAVaz0EznYfBdBHmqqVoYAAAoNiKQdoVBw4gRUslaCoFRYScgXYB5IZLsck7txInTWlFUfc/mzflk6wmlon8ejkMCsqRURs5bCkJuf0Q2T36Y7X7MLB+W3ZdC203RduRsOqQaAAQczXPVpArDKMw9n0V3o3F3cd7105fL59vt2kf+eYh5YSCIAjCxshzO/VrLEgmVr8QEUsQJsJ3I6y7sLwDq+7CKssGKXZSha6sugsrzMhCD9dVVE7o5+sdCcNQ9yoLS03ShWXne/8Y0jWBy4/hSwk1uAxy1+Ay0F0QBGFboZHMw5zGUixUy7HY7IAGJehwjlF00KY2Uk7RRIKWSjCUaDQ1QZMVpDrGurByJ2Kl3IRmGwWfkI9Yt9Qr18ISxXrXQC8YFa6UMHch7oUTsRR02TkxRdM6sAIhy4Cj8TSRdYSVBuXqNe8mS9xz4x4LVyZZL8/uEZMlCIIgCLMeycTqDyJiCcJE1LOwgu6EpQuLrGgVBrXXSwA36sLq+dzlXwFOsAKgenQk1JULq56FZc1g3R0Jw+D2+nzPj6EsGzTlowKXLqywlFBPYQmhAaHolVD8BMcSBEGYDM10HrZTy7DMLMHS1gBSBaztpFiba/yZDRJoNClBSysMJFYMIrKh5x1DyAyD2QpRKZpoILUdDYPTkOHqZkMvMSuESwHLB7rbBC0f5u5dWHaypY69uid6txfBilh+CvdmuxAyFBEM6i4s+76Y2bmxqnGnFHFiCYIgCMKMRUQsQZiIIAvLC1jsRSvtBCztBamgG2FYWhi4srrFrGp5NKnKdYVAFAvFqzAHK3RhURDinng3Vs2FZd9a6Mpy4ewTCFrxulwGt9sMrKAr4RT+OJGsXkEQpoKBZDvMN9tjh2YLOw0pKAJSRTBjKTbktjSwoRSaWmEotZKTdyh1CkbOXiwipJxCQwedAKv9mJoIFAaw1/HrGDAKypFTjsJFvGu3VYIUmhNXvqgR+r5sXpbLxiK7j8Q5sWzAvBOwyF6S7P6ckOXeWxEIWOHxME+xkMUMcJ/EJ7GVCYJQ46AFR0Tz3d0I4w5/86gRzde7E86tdSNs1bprzG8W5fOBtIhemzsUdyMcmBO/PrgwHqu5Q5xOqOdupBthUrsBUp+vU3udmtVnowZqyYi1boXJk06eeGxhm2HinpeCsI0TurB8KSG0zcCqwtttbUXlwKLxOw7SBC4shOtULqyyjJCcCwuIg9xrLiztBC3t3FcqeKwEraA0cBN+SPhMLO0EK1+SaDOxChfwLnelBUHYthig+VhAQ9hhQGPnQYMdBwwWNMmWDjp5qKkUBhPCUAK0tHU2MQMdw+gUoRPLdiXUqALUPdyjA+t4AlaZheVKCQtkZZi73U4h5YYNnofuKiUEgLCnoFaEVFlxrr5H447NsHVhGV9GaCqBzgtX/tGI+CMIgiBMZ0wBFH2ajBUPDzjgAOy55564+OKLp/jNzWzEiSUIE6G1y8CqygnZlRH6HKwo0L3sQjh+oHuvUsNe60Suq1DsKoPdKxeWz8GiumAVuLDq9HJhbYy6EOYD3X0mVkp5WXI4FRR9LCfs1ziCIMx+hnkhFjRT7NACdhqwd73HTAOPdwhp2951bmhCUxMGtBWiOsY+jhWMzHCZQdWARgKFhBSSMHeKvVjEpfmHiEAcn6s4dDzBILd9CVEgh2Era1WdExtR18TQiRU6pWyHQldSqIKyQK7uhnpHVpWFZYWs+lhewJpSCUvKCQVBEIQpQDKx+oOIWIIQ8ILtXgOkic3CSrS1sXo3llbgxDqxWHtBqxbo7gPcewW6K1TZWbWcLCAMc+cgyJ2rLoWuhDASr5xo5c1fWtlSwo25sEoBq/YzIhS8wvJCL1iFLixbSliULizvxJrKckIRsQRB2Brcfvu9GGhsj8HGIgzrJVjKg9BEyAywPreiVWas4DOk7VctL0j5joSZYTcZFGyFHU3WgpuQKjv+Ad6BxZXDiX3eVHy+9dJQ5cDKkVEGU7pvEyi48kFOQKxK4Sp0dJGNebfOMNKujNC+HwUrWNltKgoDFKiysAr3SOW69knhjjLjuKRlqyK154IgCIIwYxERSxBCXPYVaRW7sJyA5V1YqLuwVM2FNU4nwjILK1hWlQt2Z2GV87paBl0JWXClhD4HayIXVihg1bsU1rOw6gJWuI0XrryolQZOLOVKDAVBEGYziR5EIxnGoF6IYV6AObA5HqMF8H8dDQVgrLDV50Mu/yNVBHbL227qFIzcu7CIYJiRkEKqqlB34xxYuROuMmOc28kEZX+x08k7sDLKkFG77EioYbNHEqQgl4GlQKBAjlIgJFDQUEhJ2ywvpZA6AYvKDCz7nJ0exHDlhIELy4Ch2JZFlpoc22PPMIUiliAIgiAIMxYRsQQhROtq8p0Iw46EiRW1yvJB78KiSbiw6llYtSlyYQHOeYWgI2G3C8sLWKHjitC7I2GdXmWG9YD3MPPKClaF7UroOhHaUPcCKbwTa2oFLMMEUyut2ZyxBEEQepHqITT1XAxhPubxdhhwbquRHHikbUvvxgp7Ch9Obdi5gu3cN8JApwDGCoO2MchcwLgmKh1YRHCh7jY3y7uaMmOQB+KVFaxqpXpgW0BIGTo0itwJWOSEKZ+F5YPcvevKk0DZnoWk0FQaDa0CJxaV+/FCFmCvWbnh8rFwwlzBthxeu/ETInTc9hnyLfTXmQRSTigIgiBsBM5zcN6fa5Uf54ADDoDWGqtXr8bq1av7Mva2iIhYghCitA1zJ7LuK0WVCytR1n3lSwhVUBqoMSkXVjhf70YY5WGVwhdXWVg6FrFIVYHuVnxCV+kggMhxVXdhAQgEqzgby6+vUW2nySBVeZCHVVRCFuVTXk4oCIKwNUiTIQyq+Rg222GeamFQW7fVaG6dSFaQspeSoZRgGMiMDXHPnYA1ljM6xiDjApoUNKxQlCorXoV4QShng7YTf+qB7qGwZWBQIEOGNjKMQSN1HQirboT20fcppHJM7fK4mkqj5QSspralhH6PiqgUsgqgzLjKDEfljgZcClhelAOAAga5OLEEQZglPHP+86L5QR139GtS3JFvgRqI11fxT/J5Kl5/ro7P9wubsXg+kFbzQ61ad8J5sQgzvEM0i+YOcWfEZDieV824s2K9GyFpNeF8dzfCeHwaqj4L2q6WFVUfaxYgmVj9QUQsQQggH+DuH31nQh/mrhU4CbKwFG2SC6subsVOrDgLqyop9FlYcB0J4YLcKydWr0D3XoIWUHUk9KJVL/zrXsDyWVjKiVSVE8u6sLyAlbpcrKlCMrEEQdgaNNQQBjAXczCAuWmCwUQhM4zRwmBtBjQUYSglDKeEOYktr1ufAW2uBKwxU6BjbOQ6GEidCytxbqcyPB22NC9zJXhtZJH4pEBRcDoAFFQgozY6GEHBGZT7AaU5QYomNFelhKGIRSBoV87Y0ApNbUU17boSJmSPx3AlZIGDboRclT3ayUCDkJKCq7x374mRUdz2favCfXRisTixBEEQBGFrIiKWIIRoHQhXzoVlWzK5TKwegtU4LqxQxIozs9A7DyvoSNgV5q4DBxZ5B5bNwIpC3OHcWIgdV6ELK3q7PVxYvozQblfLwlJ5lYdFHLiwqlD3XqWLW4sCCgX6c9dGPAKCIIxHQ83BoJmDYd3AcKrQ0ISsw9iQGawrOmiQhqYG5qaE4ZSRGcJYYcWekdxgrCjQYStgZcihfbg6WQHMZl4xClN1IyzYoIMCGXVgOEECDTgxy+PzsHw3wpzbKDiDphQJXEdCTpFAR+HtFDmxrOjUUIRW4pxhKCMjoRgAWWEuxARljzmbMrPLr0YuGN4fZ4b2lN0qIGNAfRKx+jWOIAiCIAiTY/Z59ARhEzhy4G9w1LxT8ILt34AXLF1dlhFGOVhe0CLfidCVFEZTKFzF2VdlR0LEge4AYheW7nZhIRgHynUhVKYMyfWOK61i59V4LqyQcV1YtTJCK1iZKAurEeRhSZC7IAiznV+9/XB8a9X+OA0vxVP++JeYj2UYwgAUCJlhdArbOZAI0GTL8QAr9IzkhNHCZmSNFVwKWAbsRKNKiDIuFN12LbSPPjfLu618R8F6llUOgww5OsiQU44CGRiFnXq4hUL3le9CmJJGqhS0srle8foVtrlfGOLuAt7BCBsmssvoytigUxiM5AYdU6CNDgqawkwsQRAEQdgYhenvBJuJteeee+Liiy+ecNfr1q3DaaedhuXLl2NgYAAHH3wwbrnllvJ1ZsZZZ52FZcuWYWBgAIcddhjuuOOOLfpxTCfEiSVs05DWtoSQqMrCIls2iERb0crnYIXdBX1HQt0tXMVlhBg3yB0Urx+P1zvM3ZYNIiof1MrnVXXnXQHdWVjjiVrdHQqrMsK6C6tFGVqUQcHYdaaBCwsAuI/B7izB7oIgONb/4BHc83+LsS5XaCUGC/OFGKQGiGzWlS+fUyA0XUc/wL42WgAdY/OyRnODMc5RwJQiUgoNTaosC8zLEHcuywgLrjxN1oOlkZSdBcllYFmXVoYOMtiOhAVnVsAa53TmnVg+kysh5coaEZX/qdr21ilmv5PbQHeO2nqEV4KCDZgZhbs+jCJDm9rI0J66L6HMiNS2zR1LEARBECbBZDOxXvva1+L222/HlVdeiWXLluELX/gCnv/85+POO+/EjjvuiPPPPx8XXHABLr/8cuy222744Ac/iCOOOAL//d//jeHh4a3wTqYWcWIJ2zSUJFU3QqVcaHuVgxWXFoYuLJQurFi4oqh8sKv0MHBkVc6tKgsLdRdWOXkhy0QZWFQ6sUzlwMLGBas6oZuqHuauwIELq0BLZWipDA3yHQnjMPfpkInVr0kQBAEAbv+fJfjD+kE8nhEairBAD2BAWwdVxzDGCutKsuWACqlTfXLDGM2BkZyxITcYMwXayJEhhwGDnAPKh59z6cKy4lWbC7Q5R4Zu55YPYS9dXC4svU2jyNFGzm0wVzHvE6GcgJUoWz6YKoIi79QK1iszsXyJI5dili97rFPAZnmNcYYR7mAUY8jIimxThu9O2K9JEARBEPrE6OgovvrVr+L888/Hc57zHDzpSU/CWWedhZUrV+LTn/40mBkXXngh3vOe9+DYY4/FXnvthSuuuAIjIyO46qqrpvrwtwrixBK2bbSOOxIGnQnLHCzt3FnkBSsqs7Di0PbussJ6R8JepYRxDhbAehwXFvwhukB3IMrC0sogcSJX6Ijq1ZFwPMdUmIXlXVh+st0Icxfobifr8jITjikIgjDTuemROdiQEzbkQEsT5jc1Oq7kr1PYUr+UbBlew4WgK+fSMmCMORfWiMkwRqMgtjJUCm1Dz0shil2ZHpeh7x0nQPl1QgdWuF1BOTLncPJZWKE/KvZKVVgnlu+MaIUsFwWJWpPEaqyy7BGuC6EtMfTHEmLAyAOnWBtj6GAUObef6J9DEARhWrGxboQL9VC8PsU/wefW1h+u2V/r3QibOj7PDjSq1xcu6ESvzVkUb9uYH3cb1IPxvBqK3wuSjXQf3Aj1boRqKO7MqOYGrqFZ2I2wztq1a6P5ZrOJZjP+zPM8R1EUaLVa0fKBgQH85Cc/wd133401a9bgyCOPjMY59NBD8dOf/hRveMMbttwbmCbM/n8pgjARSWJPxlpHWVgcdiQMHVeanEgVZGHVgtxRe4xKCoEuYavcXnO5XejACl1YYTdC677CuPlX9YB2v6xO/bW6C6sMcocXsmw5YUoFGiiiMsKpdGEBQMGqr5MgCAIA3Pxwgd+vNViXsROxFAa0ggLQNgXGTOHKCW0wu3diZYaxIWOM5AYjJscI2hilEXRoDOxKCr2ARITS3eQFLCtJtVFETiwFDYUECkQEckqTTcFqI+NR5BiD4QzMBZgndmERuUwsRUjt/ZvyeOL1qufejVU5sWz2VV3Assdl0EYbozSKEVqPMdpguyZuo06sH/3oRzjmmGOwbNkyEBGuvfbajW5z44034hnPeAZarRZ23XVXXHLJJU/wjQuCIAiThfO8rxMA7Lzzzpg3b145nXvuuV37HR4exkEHHYQPfOADeOCBB1AUBb7whS/g5ptvxoMPPog1a9YAABYvXhxtt3jx4vK12Y78ShO2aUoBy2dhqcqFBW1LC1m5QHefi9UjC6urrJAoErB8+WDUldCHuBMC8aq3C0u5joS+M6F3YWllOwpG5YRRV0KeUMCqE67vHVjebeVD3UMBS5EphSv/ONkSRkEQhJnCz80vcc/YOqzPDJoa2K4BDCRW6OmwLZUr2GYWNjWVN65ztg6s9XluS+loFGNYbzsMgkFELoOqclRlbEoBq4MMHRpDRp3SSVV2FHTik3djMQrkaKPDI8hNG4YzFJzDOHmpTujm8kJaQlbM0spdktxx1UPdvRMrFLB8zJThWMyyDqwMY7QeI3gcbV6PnNvIeaz/f6gZwIYNG/C0pz0NF1100aTWv/vuu/HCF74QhxxyCH71q1/h7//+7/GWt7wFX/3qV7fwkQqCIAj95v7778fjjz9eTu9+97t7rnfllVeCmbHjjjui2WziE5/4BE444QRoXbn2qHa3iZm7ls1WpJxQ2LbxWVg6zL+qXFhlDV8pOgUdCccJcS9dWDW3FYLH0G3ls7C8QFa9bgUucqJWPdDdu7A8XjyqBCwz7mtAFeSuyLhQeBN1JIxysChDSrl1XcGvVwlY++5y/xb442w6BgTTJ22+l6NAEIRtkybmQIFQGKBd2GyojnE5WM4d5SITS8eScVlRGRvkrruggkKKJlJuQKP6IupFIOtssudu231QIUWjXN+WH2q3PiODQeGcTlYYs64rIgVNTShOQaSQULOMgrex8DZZKyVdClhawZYSOgGr7rxSbB8Zvjuh/cLsIQI0CAZkA+ldKWRGHRTIYGAwd+d7t+wfarL4N9CvsTaBo48+GkcfffSk17/kkkuwyy674MILLwQA7LHHHrj11lvx0Y9+FC972cs2ad+CIAjC1DJ37txJBbuvWrUKN954IzZs2IC1a9di6dKlOP7447Fy5UosWbIEALBmzRosXbq03Obhhx/ucmfNVsSJJWzb+F8dStlA9/L2M1yAe+DC0lSVCIbZWIHrqnRhjSNgxcJXJVyVQtYEWVh1Fxb1clvVXFc9X+uRYxWGwUcdCYOp4ZxYuua+mk5ZWBLsLgjClmCAh5BCwwAYKxgbciA31V3POKfKwvAh7Qa5c0Jp1mjyABrcKrcBnIMJHE0AkEAj5QZSJGUXw8i15RxbGWXIkcGwLVcgaGhKkagmUhpEA4NIuQnNGuRKEVOyeVwp2SB6TVTeQ7GXRjfvRTlUzisGbEdCd/qvuhzaR2YuywgzdFBQPm4m15SwBcoJ165dG03tdn8yv2666aYo9wQAjjrqKNx6663IsiksyRQEQRC2OENDQ1i6dCkee+wxfPvb38Zf/uVflkLWd77znXK9TqeDG2+8EQcffPAUHu3WQ5xYwrYNBQJWosFll0LvxAqysBQ5wYpiYSrIvIrcVGH2leqer3KzON6m5sLyWVhlOWGtbFAFywAvXJme4pIXryZyYfksrFjIym0ulhOwQheWIAjCbGeQ50CTAjOj48LM2wUjZ5tTBedmCrN4jXNW5WzdUgCQIAG4hQZS12MwEK+cC6uAd20RrLeJkTjhSTuhqGBCBwYZcrSpXXb7804sRdbDpSmFRooUTWikSJBYAQu6HMuXD2oKoiHrApY73TOsmJUbK2BVxwnoQO2yAluODo0hp9wKbBvpkDjT2XnnnaP5M888E2edddZmj7tmzZqeuSd5nuNPf/pTdBdeEISpoR7kPqxqgdyIX29S7CMZVvH8/DT+jj1Ymx9uxufT+XMrQXtwXnzDoLV9/HNfD9WC3Yfi4PV6cLtqxusjid9LfX1qNSeenzcczaMW/B7t6kknj/vabOfb3/42mBlPecpTcNddd+Ed73gHnvKUp+Dkk08GEeG0007Dhz70ITz5yU/Gk5/8ZHzoQx/C4OAgTjjhhKk+9K2CiFjCto0XqpxwZXOwqOxICJ97VcvCgndf1V1YPcoMu0LcvQsrLDmchAuLKOxIiGi+eju1cPdSrOJIwPKvARO7sBQZNCgvXVhpkIPlXVjTSczqZyB70atXvCAI2ySDaEKDkDNjrDAgEDrGlgACKAUff84GW6eSL6vLnVSlQGggdXKSKjOnmL1AZB1M3tnkBaIUGgkppCp2YnWQoY0xZLAiVpWbZQWsBE00MWjdXJyWZYTajZWS70boXVSxgKWA0j9lywgZhbHPywwsYiRuW62AMfLvI0ebRmFgomObFhje5ED2CceCzTkJS0Tq3aY2h165J72WC4IgCH0kLwAXyN6XsQAccMAB0Fpj9erVWL169bir+7ys//3f/8WCBQvwspe9DOeccw7S1IqK73znOzE6OopTTz0Vjz32GA488EDccMMNGB4eHnfM2YSIWMK2DdnwdpRlg86FRUEXwvIx6FIYlAZGbqu6KytYt+7A6tm9MJjGc2FpVQW514UoT/haiA7W9/NhaWHowlK1kkJNBo0eHQmnE8blsfRrLEEQBAAYVKkrkwPGcltMV7jufAQgcWV+yrmYCrZOpZyNzYVCVmZRJa67oKaqnBCwwk8BgwIF4HxaBFuqmJAq95GE5YSUoU2jyNGG4RyMAowCCroUsBo8gJRT2KJEFQW5p6qavAsrFLA8pYBV5nbFkhS5boZlOSEYBdluiexkrGmFV+D6NRYmn3OyqSxZsqSr29TDDz+MJEmwcOHCvu9PEARB2HLccsstk7pWvOIVr8ArXvGKcV8nIpx11ll9cfzORETEErZtlK+diJ1YUGSfk3dl1ToShplYvVxYofuqVlLos7CqHCwEge69OxISsRWclIlcWXWxStVEqZ5vOXBmlWKWC2v3LiwvYDUod6WElQsrLFW0Qe/TT8wSBEHoJy1lw9QLthlXhrnq3OcEIV+G52EGCjAyZCgoR8K6KuVzghRRlYfF7POwjPNLxQJWoqyARYGIVSBDByMwnNtyQjYgaBvsjrR0YDVcAaEVsCoxLPEClhOtSiHOvQfvKivfj6ky0X1XQg3/OaCU5Gw5YRsZj7pxJIL1iXLQQQfhuuuui5bdcMMN2H///cs78oIgCIKwLSEilrBN48Pc2QlWKDOvquyrcD4Wrbq7DnZ1IXTf6CMhq769LyX02VhOxPIdCUMhy97lj3OwwkfPeA6tEO/CSqlAoqquhFE5IWzpYKPMw6ruvU+nMkKPgUIh3QkFQegzinw3PutI8s6kUMBitkHulPtAdytMKSiAE5dCVYlIQCV0GfbnbEJSc2slZDsfFuzLFxkZF6U45j1RBAVNVtTQZRS8LVz0DrAwC8tOQRPeMM8L9nLE7EWr0IUVm5gKtqV5hSEoYoyYHG13bNP2NBoEsvdlrE1g/fr1uOuuu8r5u+++G7fddhsWLFiAXXbZBe9+97vxxz/+EZ///OcBAG984xtx0UUX4fTTT8frXvc63HTTTbj00ktx9dVX9+f4BUEQBGGGIbfGhG0b78IiqlxYPgtrPBdW9Ni7I2HdhVUJV5XzivU4LizvsgrEK599NZELC8C4rqgywL3mwqpnYSlw0I2wysJSsMKWz8La2P62RX70ox/hmGOOwbJly0BEuPbaaze6zY033ohnPOMZaLVa2HXXXXHJJZds+QMVBGGz8NlVQNWVT4Fc9z5Gx9gpYxOsp0pnlS+5gxsn50oy11BIkZQClhebACeSscGYKdBGjoLyskyPSEFBW9GKmkjQhOYEmnXVOTDIwkrIlg8q6i4d9IRZWFbAQilkmeAzYAY6xmCkyLE+zzHGGTLqdJUQknzlBADceuut2G+//bDffvsBAE4//XTst99+eN/73gcAePDBB3HfffeV669cuRLXX389fvjDH2LffffFBz7wAXziE5/Ay172sik5fkEQhG0GY6wFuR+Tu+FxwAEHYM8998TFF188xW9uZiNOLGHbRrv8KydkRVlYZYD7+C6suMsgeruwVE3MoqAjoe7lwgJImciFZTOweruwJnJbjfu2e3QkTKlAqvLIhRVmYdl1u7sS6k3c95ZkKoPdN2zYgKc97Wk4+eSTJ/Xj4u6778YLX/hCvO51r8MXvvAF/Md//AdOPfVUbL/99vLjRBCmGeSsVr6TIDMDYQ4U2bDtzBAy2JLDzFRdBilwVnlRCt7h5McDnLilkJJGGopYDGQwyNg4F1aODB0UyMFsrIhF9itd6MLy0pbuMaaf/OGEpZAeA+c8Y9uRMDPOkWWq86PtvmjdYQUMNmAUbYyhQO4+OyujqVp3rinFW8z6NdYmcNhhh5V/715cfvnlXcsOPfRQ/PKXv9zUIxMEYQtx1PbHRPODKu6wN0Rxqe+wiud30PFP8O0bte6DjdjhOZDGNwWGWnHY+LxFVXfC1vz4XN7djTCep2ZNDkg28Xt0vVvh0EA0r+YO1fY3ftMLSma/NDHZTCxhYmb/vxRBmAiXg4VQaAqysNh1JEQgbPmOhJW7iroErMiFVTqxuOpyWLqyvIAVdCQsywjNpFxYvjuhqj9O4MqqnvdyYeUTdiQEpmcpIWDLCc0UlRMeffTROProoye9/iWXXIJddtkFF154IQBgjz32wK233oqPfvSjImIJwjTE6w4+u8pju8WSE7FMGXxuHVYMgrLZVqgEJF9GaF1OvqMgVZlVruQvJQWtCEXh8ri4wBg6aFMbeeDEsttbJ5ZGgpQbrixRR/u2GVgK2l/6nAurrl+F+g5zzYllvJDnXgfQYVtCOEq2U2KbRm1GFwro6ejAmsJyQkEQBEEQNo9p+M1CELYeUUdCrYIuhHEWVlU2WHdhUbw8FK5QiVllJ0O/jqpN2glZhLIjoc0o2bgLC+gOcR831L2WlVV3Yfmug706EnohKxxjOrmwthRr166Npna73Zdxb7rpJhx55JHRsqOOOgq33norsiwbZytBEKYC/2XJhG4soOz0p2CFn9wwxkyBMZMjR+XEUrCB7D5Q3VatU9mR0ItiRAQNJzQRQbvQdcCHpRdoU9uGpqNdCkW+qNEKWE0rZvXI4UqIkCrYckKfieUC6ctQ9tpp3buxCmYUhstsLn/MhevAOEpjWE9/xgitRe6OLUTKCQVBEARB6AfixBK2KY5eeTo4TQCtrf011bELy5cPBllYpQsrLDMMygi908qLV/UsLLucq7ws58BibcPbe7mwwo6E47mwFHoFusd3hHuJWWEpYejC0uDShdWrI2Hovtp7l//t41+lfxRMKLi7JOaJjgUAO++8c7T8zDPP7Es72zVr1mDx4sXRssWLFyPPc/zpT3/C0qVLN3sfgiA8MR68ZxDb6Z2xyCzFDmo4+rZkBSzvkq1cTAY2B6vDVsACAncVrLvKi1nKBbR7V5eXdzQISSA4+Y6BgCtXRI42xpCRFYl8qLvdNq0m1i5ZiyIHmJ8SRc5BFgtYPsDeHp17dA4sLvOw4uuKcR0Yx2gDxnht5A5bsMuazf1TbBnEiSUIgiBsBM5zcJ5vfMVJjgXYTCytNVavXo3Vq1f3ZextERGxhG0LH+LuhCp2we6lCyto1dTlwuqaKHJgjevCGidDqxS5lBW4rJBlokB3AOO6sCb9lsn/mOoOdO+VhVUGuJMpOxL6UkJbfjh93VdFH7sTFu593n///VHtenOCWv5NhWo1PD4npb5cEIStS1PNRQMD0NDWLcX2BkOqFGDsV6dU2bB260qqBJ566LvPwlKBGBWuBwDkxS3yzi67bsEMY2yge4YCGXWcgFV1JXRpW+VYqoyRV+U4lRssfp/MKK9ZKnj0HQm9gGUCAcvFgUVje+ph7tMW08dMrH6NIwiCIMx6JBOrP4iIJWxb+NvmYUfCwIVl3VfjZGFpiksC6yHuPUoHyyyssoyQyzys0oXlBazy8NgfSk8XVvVWKiEKqDKwxndfcVegeyhcpZRDk4lcWPVuhNsic+fO3SIXmyVLlmDNmtil8PDDDyNJEixcuLDv+xMEYfI0aQ5SbtqSP+ZSp9BE0FpXAg45ActYcScM7A4FLO/CAqzmwRyXJmq/ftCN0O/TsA10byNDhg4ytMEwXYKRgoKqNbbw4li5DiGQnLpRsO+HUTmwcldC6I+7HNsJWdZZpmDj3cWVJAiCIAjClkVELGGbghV1dyQMXFhhDtZE3Qi9C6tniHt9uReztBe3OC41DLKwQtFKRW6sQKwKsrA842dgGStc9RCiylJCMl0urIbLw/IurjALazpjWMH0qTuh2cSOU5vKQQcdhOuuuy5adsMNN2D//fdHmqbjbCUIwtZgkOeiyU0k7uxZMEcZVd6tVDjhyge5hw6rMovKlQiGZYc+UyvEXhYIqSI3HpclfBkX6CBDRp2ojNB3JgzzprwHK3RKOQNyT4x7b4ATphgo4N1lVSmhP24VCHIqcGQBAM8UJxYbO/VrLEEQZjWHLXphND+sYlf+XIrnByn+iT1PxR38hmvNWgfT+IowkMbnlaFWfG6dvyDOHBzYrjoPNxbEnRL1QHws9W6EpGs3P5KJO8l2rd+M96cGWrXXaxUMevzv6XrFiRPuWxA8krIpbFsEDiw4d1UZDFITpOJywu4srHFdWEEeVi8XVpiTFWZhKcVRoLsVsqxA5V1Ym1pKGL31WilhqoqgI2FRObAohypLCCshC5i+XQmnA+vXr8dtt92G2267DQBw991347bbbsN9990HAHj3u9+NV73qVeX6b3zjG3Hvvffi9NNPx29/+1tcdtlluPTSS/H2t799Kg5fEISAQZ6DJhogH77uRO1UAS1NGNAKqaoC3Qtm50OqdS4MQtq92BNmS0Wlhz6zSlUlxQUz2lygjRwZZcjQRs5tFJyBA/HElxSqLjGLSnGMiECgSMwKfyYpVEKXLyXMjc3/KsPc606zMBAeBgVnMGxgRNgRBEEQZjqF6e8Em4m155574uKLL57iNzezESeWsG0ROLCgnCOrLCF0mViBa6rnRBO4sIBuF1bg6PKh7lBc5mFVLixEpYP2cGNX1sYErDjkPe5EWC8lVOAyC6tBue1CGEwp5VEWVjnuNBaytkQm1mS59dZbcfjhh5fzp59+OgDg1a9+NS6//HI8+OCDpaAFACtXrsT111+Pt771rbj44ouxbNkyfOITn8DLXvayvhy/IAhPnCG0rOADAjMjh0GLFBIiDCRWcOLciUzGurCYOfJXheWBvhNh6WhijkoPy23IliwWbt2cDTIukCFDRm1kGEPObWhKYYAyLj6EOHZh1ccH4pLCMBcrxDvNCuMipNx7s+WPVTA8orFMOda0joqSTCxBEARhCpBMrP4gIpYwqzl657+zXQi1BieuI6HPt7L2JuvKKrOsqDYFmVg1F1Y530vM8i4sGseFFXUjZKepVUJWKFrVhauwK2HYqbDemRCwWVhAtwvLlxKWbiuY0o2lUHUjDLsS7rvL/Vvqz9Q3bPnLRIkvmzbWpnDYYYf1/FHqufzyy7uWHXroofjlL3+5iXsSBKHfPHLfDhik+RjmBZjLc9CitKsLH5Et9Wsq65bKDICicmHlMK5M0ACuM6CC7TIIVEJQwd2lhFXweuhssuKYDXS3LizDOQzbMhJNqduPT9yyKVwA4lB3cuWEfl+TaBzh3WLhxIyu4/anvKqQ0mDJ8vUbHX/Kke6EgiAIgjBjERFLmN24IHcuSwatA6vsSEjOWTVZF5YvK+yRgQWE63mn1UZcWAqRkOVdWL6UEG5oNY6g1Yu6qBW6sMrSwVopoc/AKrsSosrCEgRBmO0swi5omBaaaEI7uUcHJX4pKbQ0IVWx+8iHnYcCdiggWdeVXe7FoMy5tny+VAptxSt/HQnXRYF2jzB3RQoaKRQl0EiRIEXCSdmZ0JYR2kyu8ToThjCAnK0e43OwyiysMMwdtqQwg0FR2DFHOUNGGQpk4w0vCIIgCILQN0TEEmY3WpWiFbSyDqyaC6tXqDsrgtGA0fYxcmT58sAyO6s72D1ax7uwonVcaLvLxVIqdleFAe+TpR7+DsCVDBZInFhV5mFRgVTlLvjdOKeWCbKweju7pjv+XfRrLEEQtg124EWl8OTzqBJSSJTNtGooQkMREhfsHpKzQR5EtddL+HyelhewiijLyvunqswsH+qesUEHBcZoBBm1o0B3ggY5IStFE5oT1wuxCnX3eVia4hwsj3dnEVVZV168ygw75xgiR5oi260xFOJG0UGbRmeWiCXlhIIgCMJG4LwA5/1pWOLHOeCAA6C1xurVq7F69eq+jL0tIiKWMLsJXFisVLcLKywZ1ATWcOJVLcxdIwp17+pAiCDY3TmtSiFLASDnwiKuSgkVugSrqoxwU91XlevKZ1bpqNQwEK+oHugeOLFqHQlnGgUrFH3qTtivcQRBmP5s32ghM1acyYxBAeuOTZV1YLU0oeGcWJqs0AOgLLHjeki7d2IxwxAH5Xm2PFB5yYl8yaHtXsjMMExlR8I22mjTKDJ4EasouxESrIil2buxNDQnqF6lspSQxrFhle4vJ1gxh04sRhEINLZzoc3rKtjYsHnkGKH16GAUBc80Eatf5YQz71opCMLGCTsSNinu2NesdR+sdyNcoOL5+bW7H4sHYmGkkdS6Ezbi89N28+Lz6+B28euN+VVXaz0Yd7hWrXh+U7sPorY+DQ3E49fmac5gbfuJ5YbkSSdP+PpsQzKx+oOIWMLsxpcQavvLo8uFRd6F5csIgywsHZYWBoLWOGHuZRYWBZ0LFZfLq3WCPKyyGyHKMsJoKt/G+F+SvWgVurCqDCyfb2VLCb1Qlaq8zMMqM7FQdHUk9KHuM1HQEgRBmCyLBjRGc8aGjLCBgYILaLLuq5YmNJ2AlSp7+WBUwo9xeVihA8snW/nSQOMErAKmXJdASGFLFXUgMnnBy2dhdWBdTr7zn8eXEXoBywa6Vx4sTXFXxNCNVXdmGdgAd4Z1YWWGUbgMLx9GX61blTmO0Hq0aRQdjMDMJCeWIAiCIAgzFhGxhNmN70IYdiTs5cIKSgjZB7+P250QXWJWGPBed2Gxz8LyApbbxnYkZBfo3tuFBWCSTqyqfBCoXFj+MVFBR0KyYlVKuZsqJ5aiqpxwJgpXBgTTq83WExxLEIRtgx1awGNtgmFC2xDaBZCQFa6amjCY2FN4ouxj5cSy4lQvFxZgBR9ilMHvHdhOg9Y7pctyP1va53O0fFh8gYza6PCI83lVd+6VC3TXnCDlNMrCCksJlesi2MtXqlCFvPuw+VDAKky3gEUEgIEMOcZoBCO0FhlXItuMQcoJBUEQBGHGIiKWMKs4etmbAe27EFrByn+D93lYdRcWqNtx1SvMPcrBCsPcIyGLq9d6dCSsAt19R8Ig0N0JUaELa2MCVvh6JXqZ8lEFbisdBru7fCxNNsi9ysKq7vI/ffl9m/33EARBmI4U9++LncxSLBtoYemgwlCLMVYQRgrbTdB3CtROyGrUVCCvgfiOg74jIWBdWKGQZV1bXGZmmbB7oduHonBMm5vVge1ImHM72neVh+XLCO1XOeX2XMeHxhNoXGmeGchrApbvN9j12bFBjgJtGkWb12PBLmsm9ZkLgiAIwowiL4A8799YkEysfiEiljC78N0Ha50IyywsosiF5TOzYvGq+3nPToRBKWEkZEWCF/cMdFdUhbmHZYPehTUZQtEqdG1p57jyHQl7hbmnlKPhnFgKcRbWTAx090gmliAIk2F7sz3mJCkSRSgYGMkJmTv12TJCVZUOMpC5UjvjMrDahXUtAUAChRRJWSIYurGYGYUTgwgE2z+wZYsASccCFrjsSthGjoKKMshdkT0f+Qj4BE3bndCJVl7AUrX923JABoMwnoJlmMv35Y9ZEexFjFC6sfxjAYOCchgnc81MDMD9OvaZ+hkIgiAIWxvJxOoPImIJswvlfnUQWReW9sJVdxYWwuyrcVxY9RB3IHZhRR0JXckgAy7APViu4kB3L2Z5F1YY8A5MLGT59QGUoe3Vc1MuC8PbdenKigPdNawTy5cOzsQSwpACCkWfugr2axxBEKYf2yeDGEgUEmVLA0cLIDdWsNEKaLIqy/wMgJxtZlTu8qpyA+SuOx8RQbNCvZQQqHX2c1HsAJCSLrOwyCa62xwsY5CzQYbclugFOVMKKTSlICikaCLhBJr1uAIW4BxWzGXmlirzFxGtw8Hzcn9OyDLEYGO7MPqyyMp9NkORckJBEARBmLGIiCXMLpwLi3XgxtJOuPJZWFRlYVUC1DguLP9aKFqhV0fCINC9lo/VM9A9KCH0ge4+aHcyQlb9de+20pE7q9uFVQlYeTlVAtYM/kEiCIKwCSxsaXtpcE6s0Rxoe2cVEaDtpQOwGkVhgIyt+yo3PjvKiV4gsOs0GMJOESpgSheWD1v3ky1dBAp4wcl2/esgQ0YdGJeDRdDQ5EPcrQvL9jdUkYBl13UuMHgHFUVn9zDU3QSqleFuT5FWTsVzxZAZF7D/zaD8K0EQhElw0IIjovm5ulU+H1at6LV51IjmmxTf+Jxf6/C3eKDWTbDWjbCh49fnDsUlbINzatvPja83eqjqQKiate6Dtc6InMedEalZkwNq3Qjr3Qe7uhHW5qUbobA1EBFLmF04F5bvSMhhqLtN0LXilQrLCp1zK3RgOQGqXkoYubAQvsaReFXlY7F7rXJhkSsl9OWEoQvLC1NVeeHGhCzTtU4Y6K7KzCt2nQZ9PhaXLqyU8jLQPQx2n4kYtsHM/RpLEITZyYImle6qjIGO78bHQKIIiuE6+7mOfQx0Cka7YHQMIzdcOrEUWYHK48UjuEcDhnYZWykpJMqKV+TG99qXdWAVaCNDh8aQIyvdTt5jlaCJFE2k3ETiRKyQuhPMH4MV1GwGV01rsx0WXWYXu9JCe1msBDYAZXfFDjIYmFJgm5GIE0sQBEHYCGwMuOjPTX42dhzJxOoPImIJswvvwipzsFCFuiuKXVhRKWGQf1UrJ+SaeBW5sgJxq1yv7EQYTlbEAoVuLCs21V1Yk+1GqKIylbCUMA50V6VY1duFVQ90n8mYPpYTGiknFIRZy8ImY0NO2JADYxljJGdXbU7Q5IQst64NObfuq45hjBUGuQnPv1R2+SvLB11HQnYilrJeLSSK0NIqckN5GEAOgza1kZHtY8hsU6gUtHNhpaWApTmJSgjDTC5/LPb+SvfO6me3MKg+XEe7cksvxmUuq6ugfIaXExo79WssQRAEQZgEkonVH0TEEmY8L1h8KijR1r6aaBfo7nOvXKB76baqubCoHupeKyWshbmHvwW6MrJCJ1a0jS0fhAtt904sX0ZYd2EBVXlgHYVu11VYSlg91koJqShdWA0q0ChzskzkwhIEQZit7PvQX2GHAYUdWsCCZgFAoWPsibpjGA1FvvrcltHBOZS4CnfPnQsrYwMCkLjyQMAKPYopcmGFj/YyQUiVLfirguJ9oLvNwmrTKDK0USCDQQFyOVrKCVdJ8BiWEvbqPehdYX4/9XR3/978c3+sofDlyyS9CytDG7k7Np7JbixBEARBEGYkImIJMx7SCtDalg+GLixN1oGlnYClKcqq6gpx98tD4YpqYlW5U1TdCKkKdK8ELQ4C3RE7sSZRpeZL2XoKWaVw1S06eRdWFN7u8rG8C0s58cqXE4bM1DJCj2EF06eugv0aRxCE6cHKYYW5KWNeyhjUBiPadiDUisougbqcn7hKjICoNI8IVsAiK2QVznk1nsTjBazCiWQFs41xp04pYIWdCYk2fj5i1wER8IIaYMheoqyQVV18wjN/wd5tZY8DcN0ObTSY7bDINtA9owwF2dB5wzlM3zr8bWWknFAQBEEQZizyK02Y+TgBqxKvlCsfdC4s78Aq86oomGqB7qVDC90dCNHDfVV3XvlSwmgKA9zR5bzqVVYSQhOUF/qywrKEsObCCssI61lYpZCF2SVkCYIg9GLXoQLLWgUWNHIMaoMBZdBQQEq+ca0tIfRuLGvcrU7QPifKLyodUNS7ZG9jWPeVC4lnA1tA2EGOtnU5sc/D0mXBYJ36fn35op+Yrf/KO65CZ1m0DIzCeEcYO3GNS63Hu8QyajsnlnOKsQS8C4IgCLOUvOjvBJuJteeee+Liiy+e4jc3sxEnljDzqZUMwpcReheWz79yZYbjdyOsHFmloNXrd0kv8Spc5l1YPQLdwwmIBaqJxKpwnUq4qiYAXcu9gFWFuYePXDq07LYz9G56jQKE4gn8mBxvLEEQZg+7zhkpO/UVrNDKNRqKS+eVcmWEXshi504iX/sXoOpiFtl1vQtrY2cP4wSkwglYvutf7lxOzFVwei/xKjqWHkIWULmtqBS1ug1IpSPMWFHNdys0VDm3vCCWI0eGNjKMoeAMBVdusRmHOLEEYZtnom6EADCoqg6EQ5TWXot/Qu+g4/n5ab37YDyva9/5BxrxubTZin28re1q4y1oRvOUqOB5rTthEW9b70ZYX59qnRWpGb93ajRqr8fH0oUWz0yIZGL1BxGxhJmPVoFw5VxYVGVg+ewrjOfCom5HVt1N1RXsHrisutbpOflAdwTlJ3EG1saYaJ3wYugD3SsBKy4vTCkvXVh2/fhxssczHZFyQkEQxmP5gscx1kkwmqXY0EnRUAmaSiNxjqsqD8sLWjazu6gLWLBCFVBGMNpOfi7MfbL48r2CGQVMWUqYc7tcx2ZeaTcptx3DSnG6Nl4cNs9OYlKl+8oWHPq1vGDF7lhshLxdlrj4LO/WKmBQUIHcHZ9xLizmGZqJJcHugiAIgjBjERFLmPkol4WlVVlCiCALC16c0hSXAfZyYQUCVk8XVkjgxmIgErR8aSH5Cc5FpUxZWlgOMwkxq768LBmsdyUkg0QZpKoIsrHycV1YUkooCMK2wqKVIxh7RGPd4y0wEwY6Bg3FSHygu4rLCY2PNAysWF7ajjoCbiTokGG6up2yK/Uz6C4lzHkMBA3t7vwT9S4lHI9YzKqcVFUHQue2cqsVHJYSGijYbC/jguCrzoRWwMq5DcNWxCo4n/RxCYIgCIIg9AMRsYQZxwsWvBZIG6BmA0gTcKKrPCwFl4cVT6FTinV3OWEpagWlhADi7cbLwSJUnQmjUkJYIYsAUqZ0YfmSQPu4ae99vK6FAKruhPD5WL7rYNChEHEWlu9KqME4YPm9T+TPMa0o0L8ywBnqLxAEwfHtJ+2PwXkdNBcBevsG8oc6tukGA4WpzhOlA8u5rwg+D8uds9k+6vIcjjLj0FWrA+g+ZxARiAkpEqTQUC483otJOTMyY0sJM2RRKaE9jaVQZQdC68Yaj3onxDy4QZGAkbK2GVlBwLsvJTQcC1+AFbrCfKwcxga6c4Ydlj+26X+M6UbYlrEfYwmCIAhCH8nzHGeddRa++MUvYs2aNVi6dClOOukkvPe974VS9psHM+Pss8/GP/3TP+Gxxx7DgQceiIsvvhhPfepTp/jotzwiYgkzD61tvTYFvyhcGSGUQlDfUWZhjSdshflYVbdBRGJVlyurVkpY5mBpOOEKgPblg35C6cLaGHUJpsy+moRLyjurwjysBuWVC2uWZWDVkXJCQRA8G0aaKHKFbDRD49EORh5PsXZdC4+PtvBou4nHswRjhmAYlRvLXz5gJ12e4wmFAVJl87SUqW5C+LNpGKgOABoETfZrVkIKibKuLYYNdM8No8MFxtBB2wWmMxsQKWhKrXhFCVK0oJGAoKCRlhlYxhUHhoKV3zfDIEcBm6yVIGWNBivrviJbIsnOneXLJRUIKVVCGQeh8xmyMqNrViCZWIIgCMJG4LwA5/259nEQ7K61xurVq7F69epx1z/vvPNwySWX4IorrsBTn/pU3HrrrTj55JMxb948/N3f/R0A4Pzzz8cFF1yAyy+/HLvtths++MEP4ogjjsB///d/Y3h4uC/HPV0REUuYeShddiSMyghDsYqcqyrIwrIuLVRuq1C8otrzIAOrJCwfVME25VjOhaUCF5byZYRcurDK0sIuV1ZcVuiXl7ufwIUVfTxBmaF2zisVdiOcpQKWIAhCyNqxJkY7CfRIC8ljBda3m1jfSfF4luLxTGNdrtBxp8NUOacVKheWcqXiPhvLClj2sX6B4KDrX+GcOSkpaCLb9dDnZsFqHtaBZdBGjlEaQ0a225/HlxNqpNBIoJEi4aTMxfKPvUsVrYCVUQbr8dJIOUGLE3uMgOtGaI81d8dOZIU3jwEjd06xgnIYl5olCIIgCMITY7LB7jfddBP+8i//Ei960YsAACtWrMDVV1+NW2+9FYD93nHhhRfiPe95D4499lgAwBVXXIHFixfjqquuwhve8IYt9yamASJiCTMO0r50MHBjKVR5WFEdCMosrCjQ3QlclaAV3HrfBBeWLyG07isE4lXgxAodWUCXOIXa8HXCroMT4dfRZJCqvAx018RVDtY4pYSzhYIVij45qPo1jiAIU8PaTgrDDTAIuSGMFhojhcL6XGG0ILQNoWOsqJO6MsJEVedhHZ6QFVAwIXXOJUNcVpH5rn/2uXVi2awsoKEVGsqKWLb7XyV0tTlHGx20aRQdjKJwbidyJYRWwEqRctMVFFoXFrEPeDewclZ8Y8KAUZDtJNimUSgoDPBAKa7BHW/BjMxUzjHbZdFmYFWlhFZoy1FEItuMR5xYgrDN8cz5z4vmB3XcVS/sRggAc6l6vUGq9lpc3j1Y+8o4XOs22NC17oNJfN4YGohvEMzbPp5vLoh/suvBuGOgao5fbh5fzLq7E24MGhqIFwzUuhEmtfFq3QiTJ528SfsTLM9+9rNxySWX4He/+x122203/PrXv8ZPfvITXHjhhQCAu+++G2vWrMGRRx5ZbtNsNnHooYfipz/9qYhYgjDt8C4s1z6qHuZeZlvpypFVurCCHKzQiRWWFXZ1IgR6Z2IF6/Z2YbHLwqpELADR40QuLP883AZAWVZomMrjDNdXYCdgVYHuKeUTurBmk5AlCIIAAI9nKcYKZSdDGAuEq7Hg94GiSsTy896RVc4bICWgICBVtgSRybqZgDA83Qa2wzmwGoowmNiBMgN0DKNjXBYWCrSpjTGsR+5KCRkGilSZhZU4IUtBlQKWCpxXJpCyAJSlhtaJ1UYHI1DQyKiDggdKwY1dJlfhwuU1WdEtIULuBC4b5m69XBm1reuLxckrCIIgCE+UtWvXRvPNZhPNZrNrvXe96114/PHHsfvuu0NrjaIocM455+D//b//BwBYs2YNAGDx4sXRdosXL8a99967hY5++iAiljDzKB1XPv/Klw060UpRVRdia/ecmBWKV2Gge1xKGAlW6F4eBboHJYX1joSqzMJy5YQAJgp076pe9MKUc1hNFOoe4jsPWkHLODeWKe/Wz9Y8LACu8XwvP9sTG0sQhJnL2izB45nC4xlhbQbkBqVAUzDQUISmBhrKTnVCIQuulDBhQsGMVAGZIRAx2DlxmIHCZVRpKCREaGrCUEL27JtbIcswowAjQ44OjSLj0S6Xk6LEubAaSDl1h9B9kAb187lyOVgZMrSR8SgAoI0x5Bi2Ahvs8RRs867sVtaFpcmLYITCd010ZYmzyonFxtaI9mssQRAEYfZRGJR3q/oxFoCdd945WnzmmWfirLPO6lr9mmuuwRe+8AVcddVVeOpTn4rbbrsNp512GpYtW4ZXv/rV5Xr1DsnMvNGuybMBEbGEac9Rc14NaqRAswlKUyDR47qwfBlhKVp5kaqHC6sUsHzZYShOYbwyQnSVEvo8rLoLC2UWVuWSoprjqk49C6v+PAx399vr8nWfgcVVyaBfJ+hW6Od9KaHvYDgbkHJCQdh2uW6XZ2HdaBOPt5t4vJPikQ6QMTBaAOszK1z5MjrAnq5Tp1LVbyxMVCEWfjfkYMycjc3Gcq4sIqo6HrrxGC4onQtk1EGODDnGSoeTIgVyXQit90o7F1bsvqrjlxkYMLlOgshQcAZFCoYMCjbWhQXnFqu9p6oK35UUwga6Z2iX4yuaJedFKScUBEEQpoD7778/ysTq5cICgHe84x0444wz8Nd//dcAgL333hv33nsvzj33XLz61a/GkiVLAKDsXOh5+OGHu9xZs5FZ8m1EmNVoG+ROYTdC78LSPcLcdZB9FXUlHL+ckOuCdfgjpSZmdQe710oIy/D2YLPxMrC8aIVuUSsUreJyQ9NVblg6r1wmlnKdCH1Xwujj7PEDSBAEYaYzMNDBnFYbcxttbNfoYG6aYzhhDCVAS1tXVEPb56kiJC6rajwBi4Gye19u7FSwD0RHkBtlJ0ZVVgjYu6EFI1jfOrF8KaHPmTI8cWD6RAJWKHAVZF1T1nWVlaWJBA3lRHmfywXAlTsqNJRCSqq8c8vu/eQw1oVFORjGdktEnMMiCIIgCMLkmTt3bjSNJ2KNjIxAqViq0VrDOBfxypUrsWTJEnznO98pX+90Orjxxhtx8MEHb7k3ME0QJ5Yw7YnFK7IdCYnKjoTlLeRaGWEpYI2ThVUvKxzXgeUe66WEZRmhgr3N7h8JUQ5WL0fneKJWmJFVf+47DoalhbbrILvwdlMJWEFXwvEIXVizJRPLMNmssD6NJQjCzKExVADoALCXhY6xeVgbcitgJWzD2b2gFHYk9PQSsPyUc128qnKlfAh6KGBZs4+Vf6yAxegUBh0u0EanzJl6ooTilu8emFEbGdrI0bafAzS0E568wFawva4msBlY9vOicrTc5WFZia2N3AXOK9cxcVYQpvH3YyxBEARB6CPHHHMMzjnnHOyyyy546lOfil/96le44IILcMoppwCw1+3TTjsNH/rQh/DkJz8ZT37yk/GhD30Ig4ODOOGEE6b46Lc8ImIJ0x/nxIq6EWrlwtoDpxWhKiN0y9ElXlEpPkXiVU2v4FDQqr/mA91dmDsrX15Y5WHBiVfjiVXjURetgAnKDp14FXYvVKEwVWZqmWC72Z2LVUCh6JPBtF/jCIKwdUjn2PMaUQdKMTqFxoY8wVCi0dI2sDwPXFFexPJOrLqmwYgdVJELywCF4bKM0AtEvpSwCnr369tOgJnr9hfmTI3nwlJlKSGV4hhg3VhhkDtBIQNQIEMHo8gwZvfOzj1FSeTE8nkZ3olWjusFPAYKNmU4fJiFpWeLE0vKCQVh1lPvRqhr5dDNWofBgZpIH3YkHKL4J/P8Wge+hc1a1UPtK6RW8XkiTeL1586PMwcbc+MfH3poE869tW6EqhlvS0n8vqn+eit2BpGqra8n6IQIgOrdCmcwnBfgfHyn9KaOBQAHHHAAtNZYvXo1Vq9ePe76n/zkJ/EP//APOPXUU/Hwww9j2bJleMMb3oD3ve995TrvfOc7MTo6ilNPPRWPPfYYDjzwQNxwww0YHh7uyzFPZ2bPvzJh9qJdmUMoYvl5paogD3dL3YtV9jlt1IXlHVZdglW9pDDIwypLEWuB7vBGsEDAmoyQVQ9tV4i7FtZdWOU25XITlxLCT5MIgkectSUIgjATSYYJpAx0ytCpQSdLsL6T4nGdoKUVMgMkVIlSiep5D6N0YeXGubFMVVLoXVc+GL1wIe0FGxQwkYDFTsAyvqyQ4USsDjK0USAHjxMKrjDxjwS7jvVZeQrKkWEMGY+60j/rnNJIQdDOhcXImZG6EPfU/dAq2L7zwqDKw6LMHWdWdkuczHEJgiAIgtCbW265JcrEGo/h4WFceOGFuPDCC8ddh4hw1lln9QyGn+2IiCVMf0g5J1YlYJVuq8iJ5d1XPtDdlhKGwlbkwgqFqGh/tefjiFlloHtZSogqE6tWShgOGd759nlY4XwkUo0z78UrAKUbC0AV6h7mYgWdCQHUwt1nl3gl5YSCsO2ihhMgKaCaDNUsMDTaxpyxJoayFINao022nDAz7nKykfG8EytzpYClI8u5sLwoFApYeeDJ8s4su09GZgw6nKNNbbTJOqYKZJWQRVY00zV3gBWPvEBmg9sVJ2559S5yZMi5jcyMIFH2TnqCJHJPeXFNwd73aWhbRtgxAIztrsjshawMOdr2+AhIkULPkq+NbKqukv0YSxAEQRCErcfs+DYizCqOHPgbUJKA0gRIEmtLdc4r1sp6dHUlZtnXEISuuzJCbZ8bXXNhlWWH1Ta9fs2M152Q/bwvI3RZWKScIBWKV7WOhCH15RQIUfWOhFUZYFU6qImRqMIJVwYpFaV4FYpWntCVpcF4+vL7JvozzEhcEljfxhIEYfryrVX7Y2i7DpqLgGRxE5wbkCawYpCyNxW0MkiJ0VAMgNA2DFaEolYdYLv2xY/ePWVcGWFufLlgJQZFY9Qcrb5zIZdj+bD0tgt0z2F9XLbsD9h49z8FFeR2GRh38apks+CGBaVI0UKKJlJOoUA2qytYK9ybYRvvlLNBDoOcrFNsu13+uLE/xcyD3R+mX2MJgiAIgrDVkF9pwrSjKh1UlQvLhbl3lRQCURZW5MJSBFMLdS8D2XtlYY1zW75L7KJA4PJZWNXh9Axyr97bOPlWtW6D4fMozN0JWKkXr5yQlag41F27sHblSgqjwPdZmoclCMK2xf89Pgcb/txAsYHBnQLIGdw2KDYwsnWEvKPBTFDEaCpGqhiKugPb61NuAseVW8YIRC6OBSybS0VQbvL4EHUvYGXGoHBx6YULSzdBOSG5Ur1qJPsVzUtOynmvkuD+Y+H8Uj63ymZgpUjQQgODaGAAAzyIBlIksKX5XIpgTqSDFeiqY7Sh7lYk608WiCAIgiDMONgApk+Tu94fcMAB2HPPPXHxxRdP8Zub2YgTS5h+KAVyjisKxCvWynUnpMhJZRUkVOJS6cLq7j4YPaeaQNWLSOTiSMhCTchCzXU1kZjlBap6KaHdLi4P9K/VOxImqkBCBdLa5LfdWCnhbMR2HutPGWC/xhEEYcuwZsMgWkmOgfUZUtc60IwxilFCNqrRyTUKQ9DOiZUxlXm3XpDy1J1YhXHdCI3LiXLdBr27ymMvQQTFBHYB7F58Mi5EPXdjFGDkKFAgh+EcxoW6MxflxYCgXaB77+wpn4HFQXlhQTlyygGgzMFKqFkKWE1uIkUCHdy3tN0Tyb6XSMTzXRatgLU53ROnNRLsLgiCIEwBk83EEiZGRCxh+qH1+C4s78RSqDKyFKKOhGWHwnqAe1lySBOWEHZpF70Er1rQuw9090LWRGHu1MN1RTXRKny9Hu7uM7B0IGxpcuWErrRQ1354+OX+uSAIwkxnzVgD8xotzB8dAWcFYADTBvIxhbGRFFmuYdh24Gtqg46pnFK5O0X6s2G9jNAGu3PpwrKPVSlhWDqo4AUs6u4kWBOHCsorJxbbDoIGphSnfDdBCgQnAy67EHqPVuZlJsqRoVOKTUQKCZpI0ETKTTS5iSZS1+ewev/GvZ/CHartvOiD6u24ZrYKWIIgbBPUuxHO1a1ofljF82mtQCnsSLhExz+Zh2u/oJt64u/WSa32aaAZu1wbA/H26fCmdYINOw7Wuw/Wd97VjbA+PzQQb5/Wx6u9+VorRr3ixI0crSBsPiJiCdMOcmWB47qwnJjFZTkhReJS3YVVnyInVV2UGvegOBKurKjF5XwY5D6eA4t6iVabUkroc7DIIO3hwlJBmLvPxQpLCf14szHQ3SPB7oKw7bCmrbF9u4mlow3My0fAOVC0CZ22xlgnxVieoGACgdFSBmNKlednL95EIhZb95V1YnFQXsilcYdr+UeKCIYZmpR1XkUZVb6k0HYELGCcE8s5sHo4nUIXlmJVe41cR0KFHAoGGTJ0kFEHuStP9CHuKSoBqxW0jQ/PaqEZiUuhzeZ25e7YeLaWE4oTSxAEQRBmLCJiCdMPRYDSVg0ax4VVLwPkoKwwEq90DxeWqpxVkysjrB7LUPfQgRWIW16cqjuxKlGq9y7GKyWsu7Dix9iFVYpZoXhVKyWc7eWEzAqm9sNvc8YSBGH6smYU2LGVYKSdgnOAc0beUei0E2zopOg4J1ZCjKY2SAtGQraMLiwnZJcLVYa4sy0nZPgw98q15MUur2UpZ8M1bN1ShV+GSsAKQ90LZCjYToZzMBdl9z+PdVyFTiwDjbQUsPz4TDZ8PUO7tq22Liw00KIUDaXKjoOmDHZncPA5FMzI2CDjwuVhFaVbbFYiIpYgCIKwETg34Lw/N3M4rzKxtNZYvXo1Vq9e3Zext0VExBKmH1pbtUdbIct2Gww6ETqnFoAqD6sUrmpCVpCFxQplF8MukSrMtwqWc23qWU64Eeo6Wd0FNVEpoX8elg9ql4tVd2GVpYRO2AoFKw2Dg1f8YaPHKgiCMFPIDNscPKPAOYMLgHOFvLCTz7XTigFjz43+fFw4bcag0iDGE7BCvcMLQL5k0Lqvqs6E2hX+JVDQbm++TM+AYciWEPZCkQKRKt1YoZDlOxGGRR3WJ2VLEzVSaKRIkCLlBgZ4ACk0NLkSR2IorpU6oiorzJ0LK0OBdct/AACY4yZBEARBEPqDZGL1BxGxhOkHEahHF0KffQUKBK2ybNB1I0y6OxLWs7DGKx8MXVnj5V6NG+ruNmK2ohQzdbmxqIcwNalSwo24sBTYiVm5c2XZQhMFg0YgcG0LFCAUE9aFbtpYgiBMX1JF5f0MZoBzwBQEY1RZDqzIlgImyt8AsOt7GanKwuLSYeXnq9f9a1zuy4tXNgTd34ggpFQJR/YSRaUjy8tfvijQvQKiqlDQilFVJpaqnYd8LlfV5TAvRawUzTLIvYkUKemubonlOByMVzqxCrRdl8NZjzixBEEQBGHGIiKWMP3Q2pUP0jhCln3KNWEqzMLqmXvVy4VVY7xQ9575WYp7h8OzPVz/GA3XI/S9p4DVQ3Squ7A0nBtL5WXOlQ93b1BRZmFpVJlYsx37u6RfmVh9GUYQhC1EqlA6VOG6V/vugYXLx1PETsAySN1NASAoJUQlYMWuLHSdhcvuhKgELCsjGSgQmkiQkkJDKSiqyvR8qHvu8qV85pUVrzTABkQKGinIFgMi4aT0XdkIdxsfb0Pe7bLch8RzBiKFlJto8QCG0IAmBU1UXoPCKC/D9tplRTkq87AyFMio0+8/07SEmcF9OsnXc9IEQRAEQdiyiIglTDsozL8qF9YS04MMLJuhNU6Quxe4lBO7SldWvM+oW2EgWEWCGVCFuvcQsJitcmUFrNiJ1eXKghWlJloHiEsJAUQurFQVUC7nKqUcDcqdsJVXuVjlo3zJFgRhdtFwIhZgXVhcEIpCoTAKBVvRRxGgySDRrpzQn9NRua3KTCwTiFqoXFiGA+dWkCtlA9ANMuSliKWJ0EoIBELHMIyxXf9yJ0UBcCWDCoYBgnEpV7oUsryAFZYT2mO2JYUAUFAOdhlbxrmnmtzEEBoY0nGnqciBBXv9Me6Zf29WxMrRxph4UAVBmJEctOCIaL7ejXBjNGrdDHcIOhK2ajGp85sT5yQ1dHzzOE3i+YHBePt0MN7edOL1Ka01ARluxBvo6sxNtW6B9W6F9ddVrRuhGog/Nxoaqu0r3j550smYrXBWgJM+ZWJldhzJxOoPImIJ0w+fieXzsPyvjjAPqwx4p6CcMAxypygPq1c3wgnLCnuIWuVYXsAirkoNw+17lBICTmuj7s6AKnAH+Pn4MSglDFxYClWoux3DveY6FKbkHVrbhgsLAEwfg937NY4gCFuGNBSxAicWsxVnFBEIBloxUmWQKC5lodB9BcRlhGUnQidgeaONcWWFgHVhFU7AalMbKbuugIowoK0Ti3NGZpwbCwYcnIuty8qUbizlSgq9oOWfeawXS1dZXGDkQUi8IoUUKQZ0gqFUoXD7zd0b8+JbSBVsXznF2jSKTfvZN0ORckJBEARhCpBMrP4gv9KE6YcOnFhOtOJAyKpKCKlyTEUOrDgLKxSgxnNi9aSWhxWN514PzWEMRAMzk3Vn9cC7sHoJWvbR/tjx4lYY7O5dWHGouylLCDWqssIq8F2+ZAuCMLtIyE42h9DlYRUKhaEy1N1nBybal1jbbb2AxS7I3Xcm7FVGaNfnIEcKpRMrow7aNIqMrBsqUdaJ1dSExGVjWYGoys6ySxWUu+tPpXClXTh7nGXlxS/jErGM+1/vwjKcQ0GjAY2W1hhKlN2/siPXq93CWV9+ad9Lhg5GNudPIgiCIAiCsMURJ5Yw5bxgu9cAaQJKUyBNrYgVurC860pT4JJy7isdlhJSVEZYCldEUbngeAIWB+JUnLtVlRJ2h72zy7nqHi/Mv6JyPS5LCT0KsaAVClcAyhwsVZYHVi4sL2DpUvSyge4AtsluhAZUltv0YyxBEKYPB/7pWAwkhAENtDSw/YDBcJqj4az+bGwmnoHNwyoM0A76+bULjbYh5GxFK6Ay0YT/b6+7sKKsrF55hc61Se5CEI5VsBW7ChSuoLAqS6jC3U0pbAEABS7QsKSwKki0oe5+DEUJNCcgN0Kv61Gdgq0UZwzhf3b8erl8m7k3LE4sQRAEQZixiIglTD2RWNWjfJDi1714xTXxyncgDF1X45UM2vHtQ1ceFlAJWX4KHFwcCFjhuAQEolYlXoXlgfUQ9/GdWJXrqhK1TJcLywe6qyC8XTtha1uk4MqB0Y+xBEGYPiwdJAwlwJBmDCUGOzQzzG+20WpmPYWbjBWMAXKjMJInWJdrjBSEdgFkhqF6iE6eUMAqjO8rGN58cP4pTqBIQbOurimwrq6Cq1LC3HURLJC7/oJuHFIAUijnxPKCmHL/+X3lTgQryD/mAICEmq6jYeo6IQK5y/byIfS98IHz2+xZTkQsQRAEYSOwMWDTn99UfhzJxOoPImIJUw+pqiOho3RhuVJCVrE7qxSydNiVsFu4Kt1ZVE3xvuPZWNAKSglLUataRq6MpRS06kOTN42x0+Yqgaoe6K4isct0PfelhCkVkQsrdWHuHu/IkvJBQRBmG0tbBsOJwXBaYDjJsV2zg+0GR9Fs5SBV5WExExiE3BAyaBgmMIB1ucZoQegYIDPe5QpoIpthBYpyo0IBqwjKCe19jbIo0AlIVYZV4UQNm0llSwkLKlCQ9WQx1wJ6SblsLFX7j9wy69cqKEeGNjJqlxlZGqntTGhSVzrIyI09Xr8XIkCxvSAZZhRgsAunL7bRGx6CIAiCMBVIJlZ/EBFLmHq0smUY402+ZFA7AavmwjK65sYKBK0wEyuil3gVPq9nXUWlhH7eu63ckK6s0Itb9VJCv9vIbVUTm3z3Qf+8Xkro812qPCx2Qe5V7tW2FuYeIsHugjB7WTaQYV6aYbtmB8OtNgZaHTSaBdKB7s5BhoGcCZlRyJiQGcK6XGEkB8YKK/T4gCztDcBl5hU7QSwWsEJXExFBMUFDQ3PVSTDK2mKgACND5vKrijLNyktM5ModKXBeASgFrMSJWBlgvVzURgejpXyWoIkUTSRIQGQD7QuX88X1MKwA21WxQIZ8M/4iMxgOEvv7MZYgCFudZ85/XjQ/qJsTrj+s4rYV8yju8LeDiucHg6+BC5sTf6+uNeyDVvF5oVHrTtgciOd1M/5hQkk8rxq1DoO1joOqGXSlTWrdCZtxx1pqxZ8T1boTIo3H3pa6EQozBxGxhKmHVCRaRS6sIOC9DHQPsrBMEuZgUezCIupdUjieoBWsEzm36mWFqC3rNST1LiWsdx6sv1YGugelhKWQRWE3QhPkY1Xlg9uygAWgzMLp11iCIEwflg2MYv7gGObMGcPgvAy6GfxIUAAMuaBy+//dnAmjhcKYIYwVhA05YbQAOoV1SZHrYNgLn4PltY687p4qewgaJyfp8oxRCljGdv0rKEdOOQqXjhXic7BUKWZpJ1tZAUu7xzYIjAIFcnR4pCwjTNFEkweQuq9zXnQLj78XBQza6KBN7Ul//rMJ382yX2MJgiAIgrD1EKuBMPUosqWEvm1UlIHlxShXm6d95hUFAhbF5YTehbWxboTjaRR1UcsLWopdHha7ckIX6F4rJQxdV2EpoXdhUeC0Iur+heHFKy9ceXdWuLzMxHIuLKAqJQSknFAQhNnH4nnrsXCH9Zi3cwcDT07R2KWBdHsNPRSfzL2QlRlCxxA25Aprc4V1GTCSM8YKRmbYdSS023jjbojPwco5TpZSRFFJYb2boGGUJX02D6uInFiMuiCmS2dVmINV5m65LoYGBhnG0DHrYdg6qFJuosnN0rHFft8mzvAqx3Sine9GOEJrN/0PIQiCIAjbArnp7wSbibXnnnvi4osvnuI3N7MRJ5aw1Tmy8f9AjQaokQJpw1pifeaV60wIrawLSylA2+Vl+WBCVUdCHQtZkQurVylhjzLCsBNhd/fBcdxYYaYVfDZW0IGwRylh3X1VJxKrKHRg1UQr36WQKheWzcqqMrK2VRGL0b/uhNtw5LEgTAtetP5l2GXQYOVQG7sMr0ejuQE6ZVDDOnWRG3DHoNjA6KxXGN2QYrSTol3ouJSQbQaW70rITkqy5XY2L8vAVhP6UrzCcFRxFgpCRWBvSqFLt1Tqch2LINQ9L5OnusUrn2dFLldLc/WVzAtoBEbGhRXCKIdhGwxPpJAgRZObGEADDUqgiaKAe18C6R8Ns3uPxpU1bsMWIgl2FwRBEKYAycTqDyJiCVsfrZ3TyrmvtK7cWE7A8llY7PKuoAicxEJW6bqqB7s7F1ZdhOIJxKx6gHsYBg/FtTG5+qHgxShiKGWnsJTQHnpVRkg9nvfqUgiEmVhe1DKlE6v8KJ3Qpcmg4boV+o6FgiAIM5klLcaiZoHhNEcjKcqMEc4BdAxMu0C+jtFepzDyeBMbxhpY325gtEjQNsoJWU6Y4t7ldQxGbgACVe6pYDLgUr7yGVle0EqgoEmhAUJCCil5Ecu6oXL20lW3gEWwYe6+s2BSC4dnGOSoxLOMMuTOzeW3T7mBJhpoUYqUlA2od9v744zeRxDm7scNc7gEQRAEQRBmAiJiCVsdIgJpbQPdvXCllBOrrPvKilf++eRdWGE2VpSH1YPwtZ4urLAUUTFYMaC4K1urV6B76c4KVo2cWOM4pcKSQb9elX3FUckggNJ1lVIeTMU268Qy3MdMrD6NIwjCE2PZQI6FjQ7mNDpopDmUZtuFsGCYdgEzwsjWK4yua+DPGwYwkqVYnyUYyTXahULbUBnqXrAvM7RTKfawu2GBSuzKA+HHBAKQTbSy3QZ9qV+LNBrKurAU7HUgM65c0aVYGeoWsHxnQTsl0JyAoEHsSwcZQIECvoywjQJZKYZZ+auBJhIMaO1KBe311Qe6M3tXmKlELXf83oWlEQf+bjOIE0sQBEEQZiwiYglbH62rSanKeeVysdg/1z7APRasQheW0fU8LC9yIXZihYTlFrXcq8iNBTjhCoHAhUro8kNFZYSVw6peWgjErqwo0D0Urih0YJlynSrQ3W9jSheWd2CVTqxtVsSS7oSCMFtY0hrD3GYHc5odpGkB8t2dDMAdhhlldDYkWD/SxOPtJtZnCcaMwlih0DHWheWdWLkrJwzPjCYQtrwLi52AVc/BApxrCwYZMigoNGFL+FpaIVW+M6AtJczYOPGo24UFICgjTJBy07mxqkws4/5jMmVXQitiWSeWLz9skEZLV50RAcAQgU3lGvPiWyVkFaWIpbbR85wEuwvCzMfnBXqaFHfVq3cjHKK09no8P7/WhW9+o7oKDKbxFaGo/f++oeMFA414fs5w3Al2aGE8nm7Gx66H0gnnqVn7CR90JKx3LqTa+6p3IyRVW39oKJ5PRC4Qph/b5rcXYWpxYhV5sSrMwgrEK+++Kl1XiaqW18SrKMQ9cFCNZ6bp6dCq51+V4zkXFnknFndt28uFFZYSqpqY1SvQHajcWlGwuxOwdClgxRfG0IXltxEEQZjpLB3egO0GxzA40EHaKMoybs6tiJWNKIyONrB2rIlH2w38OUuwLtMYCVxYYUlhrzOjzcLiLheWj2Av2JRleF7AyihDRh0AQEoKg4nCQELQ7vgKw8iMQeZyrOx+qq6EPsjdO7FSK4eVLiy7vkFBBTJ0kFEbGdownMM4xYSg7JZKo6UJqSIkKs7EMs6F5d1XNl4+Q44cXLp95WugIAiCIPSCjQEXfZqMBLv3E5FWha0OaQUo78ZScZh7rzLCJBCtdJWB1cuFVWZZhdlYG9F0IkHLCVRhNlYpaLnnpCrXFYDocSIXFlCVC5bPa50I7XJX5kFVKaF2Ae/la2UpCLtyQhv83nDlhXobFbKknFAQZg8LFm4AfM6gqsR/NoBpA/mYwkg7xdqsgUc7CdrGhbQzUHDsxLKB7S7cvHZ6NGzPxxzlYVU3CxSocjFRjjaNInEh7FoRmhpIFaEwsQiWl+6nAnV8J8KEE2jWLg+rEpSYjJWcqIMMbeSunNBwBuYCCgoNWBdWS/v3aoPqffC8LUg0yFy8fI4cBQUuLHdhy7uObhvAW/D6NZYgCIIgTAIJdu8PcgtO2PpobYWsKkiqRzdC131K19xY5XzvMPdSuArppUWELq16mHsQ4I6awEUqWEYMUsYKV+6x7sLyux8v3B1A5LhKyEATI1FF3K0wKBX0rqyGe/QdCp+1/B48ffl92HuX/8XuOz/Qj7/UjMO47oT9mgRBmDqSlkHSYOiUobQ9ZxYZIRtRaK9TGBtJMZqlaBeqFKoyQ+gYQtsgKimMAt7d+D7rynckzDno5Fe7+6Fq5wNfKBjCsONkbJBxUZbthV0ANVIk1AzysNIuASvcR44MGcbKbRtqDlp6Ppo8AA0FA/++fOdBLjOxCICGQorEZXi5UsVdbobZ5Wbku9yEfJebntgfZ6Zj+jxtIp/61KewcuVKtFotPOMZz8CPf/zjCdf/4he/iKc97WkYHBzE0qVLcfLJJ+ORRx7Z9B0LgiAIwixARCxh61N3YdXEq7CM0GhlM7AiB1blwoIKXFi1bKvoN0c9BytcHuZc1fKvOHyt7ExonQEqCnTv7cKqlxL2dmGFkw9wd0KW60oYOrFsyLubR5WJJQiCMJtQKYMSG+ZOCmAmFG2FbFRjdF0D60abGM0TZOw78pHLo7ICVseJV7mpsqq8+cYLUDYXy6ZWMcNmYTGDewhZvWAnfPmOhJlhK2KhsM4nZOW6oXCVoomEY3EpxIBhnBvLsPVKJdREk+ZgkOajxYNQsCHumeFKyAoOWRFBk/V8aeiufQhTwzXXXIPTTjsN73nPe/CrX/0KhxxyCI4++mjcd999Pdf/yU9+gle96lV4zWtegzvuuANf/vKXccstt+C1r33tVj5yQRAEQZgeiIglbHUo8YHuVbD7uGWEZZkgwWjqUULowtzDEsLxsrDq3QgRlw1Gge6lI8vnYSGaiLgUtLwLS5fCVbcLC70ea2HukXgVdCUMA919aaEtNWTrxuqRk7Wt4ssJ+zUJgjB1qIa950Ha5RECKHLC6GgD60eaWN9uYKzQyIx1TloRyruxgHYBK2T5YPcgvB1A5brypYawbqa6E4uIym6EAMqgdnbbGvj8qcqFlfnSPaqC3csgdzShOYFGCmJVjh1Ofj92JOvEStDEIM/FXJ6PATShScEw0PHdEJ1Y54U6BUJKCilpJOO4vbZV2HBfp03hggsuwGte8xq89rWvxR577IELL7wQO++8Mz796U/3XP9nP/sZVqxYgbe85S1YuXIlnv3sZ+MNb3gDbr311n58FIIgCMI4cG76OgGSidUvJBNL2Pp4F5Yav4yQEy9kWYGr7Eioq+yrrjD3UMDqFdzuCcoIu1xY5dQtXIUuLCte2alyZTG06nZhAYGo1UPQ8gJWKV4FLqy0FLSCoPcwJwsGKeXixBIEYdZBGvZ8nNuJDZBlGmOdBGvHmliXpRjJNTJTiTM+C6sUsFxWlHcrhVFIBgzFhMKdPwvmSMCykpa9YBBRlK9oyADsSxKBAijztDIUyKjjugkaGBRlBpZGanOwkEKzRuK+hhFU1MXQlxIyDArOkBKQIEWLBzGEgbIzogEjM9aRVXeZaSJ39AqFE8uEqaXT6eAXv/gFzjjjjGj5kUceiZ/+9Kc9tzn44IPxnve8B9dffz2OPvpoPPzww/jKV76CF73oRVvjkAVh2nDQgiOi+bk67j44qBrR/DyK5+vdCJfo+Gfw9s34u/Scxvg3iGsN/9BM4m3nzonTBpsD8Vi6GZ+Pk3nxsSbD8Xy9G2FXx8GgIyE1a50M690Ia69joBnP18bWK06E0D8kE6s/iIglbH3CEkKi3t0Iww6EvpQwnPcuLAqcWV7MAiLHVZhx3mWuCcoGIxeWF8PK8VyQe+TCQunECssIyxJCVOJWPdDdPlZZWIq6XVgpeVGrKiO04pUPcs/LUkIRsSwS7C4IswdqkBWwvKjEQJ5rjGY2zH19rjFWKORlOaFdM2crYHWcgJWbKjfKRhhV58vouXNp+VLCjYk+YUmiAionFnJk6CCnHHlQTqigkXCCFA1o9t4oArkLTV3I8gJWYdogpZByAwNoYVg17XZkP5NOvdc7qoYjNnGL0Qn2I+AJZ1mNOxaAtWvXRoubzSaazfjH4Z/+9CcURYHFixdHyxcvXow1a9b0HP7ggw/GF7/4RRx//PEYGxtDnud4yUtegk9+8pN9egOCIAiCMLOQbzTC1kdrcKIrF5YLlSrLCJ1YZby4FYS5m5qQVWVi1aagpDASpTDOo59cCaF3XrETrConVuXCKh8Rh7lTIGABsQtL1QQtoCor9C6sUNyqBCw7b11XVQ6WLzVMpZwQgJQTCsJsghoESgDSBHLfVvJCYSRL8FgnwbrMiliZ8dlWtmwwqwlYoROrMFVuFHM1+Y6CBrEbC0BXmZ/Hu7DKjojGdjVsU7vsKuhHA3w5YYqUG0igoaFdIlb32IwCxvUWLFwmVooGBqmBoSRBQ6nKicUm6KpYHbsCQSuCdtlY4sQK4D5PAHbeeWfMmzevnM4999xxd09U+3szdy3z3HnnnXjLW96C973vffjFL36Bb33rW7j77rvxxje+8Ym9d0EQBGHas2LFChBR17R69WoA9rpx1llnYdmyZRgYGMBhhx2GO+64Y4qPeushTixhi/OC7V4DNFJQswmkiRWwiOIw90RV3QjLssKa6yrsREhBWeEE5YPEE+djhR0Koy6FUWkhbJt35QUtV0KoKpeVd2EBsXhVD3T39HJh1YPetRe2nMgVurAUDF646+2b94cRBEGYRvzyVQeAOwW4Y8AFg8cYxSjDtAnZmMLI402MtFOMFdqWDTKV5YMZE9pBmHvhMqJMUGbnIUIpPNhMLFs4yFw5sLzgY0WionyecgMtDNm8KReW3i7sYB1j0HZh7nlXoHsCxfF9Q4YBQbksrqrbYdjRkKChKcjPIoK2d0kAAxQ1x5jXQZgBQwxjGP+z49c3908jTIL7778/KhGpu7AAYNGiRdBad7muHn744S53lufcc8/FX/zFX+Ad73gHAGCfffbB0NAQDjnkEHzwgx/E0qVL+/guBEEQBE+YZdWPsQCbiaW1xurVq0tBqhe33HILiqIo52+//XYcccQRePnLXw4AOP/883HBBRfg8ssvx2677YYPfvD/s/fn0ZJV9dkH/nz3Pqfq3p4YlFERmikRxDcMBpEViDHgFMXhjSYSRXEiEBHEGFmuRETSDonYyVJQEiOor68mYvLTX0iA+Bp+UXSJU4xicABpIbTY0E0P996qc/b+/v7Yw9l716m6Q1f3vbfv/rAOVXWq6tSu6u66t556nud7Dc455xzcc889WLt27VjWvJTJIlZmz1MWoKJoIoRJmbt3YNlphE7EMj1YLS6sIc6rFOLBfQNCl3dc2c80znUlXKE7ewGLRDiRsHFcUfBAqZDVdj6aUBi4sFw5u4sNAvBOLBcfdBHCDjVvapmGHCfMZJYv5pdFjgSsehehv6vA9HSJndNd7Oh3vIilrHBVa6CnCTNBD5aPDyY/BwTFnVjaOrA4cDARCIU1qhs/VEOJwnZZmcJ0DfaF8T1b6O76sIR1WgHwnViDjivdrMX+5wrhzVoEBJmJhgUKOP1KBeXtuuWHnYaxiHHbz8HMggrZRx0LANatWzdrz0mn08Gpp56K22+/HS9+8Yv9/ttvvx3nnXde632mpqZQFPGv61IaAZXzH3Amk8ksK+baiXXQQQdFl9/73vfimGOOwdlnnw1mxsaNG/GOd7wDL3nJSwAAN910Ew455BB8+tOfxhvf+MY9svalRI4TZvY8RTFLmXs8jVAH/Vhawm5xmbubSDiwtdAmZnFwe06O4d1dAyXvRtQSSXk7gIGJhA7RqqRhwIXV7NcD0wubqYRsI4RGzMoMYiaL0Vi2/NEgk9nL1AwoBvcZujIOrP6uArt2dbB9agLbex3sqgvMaGFFLBMfnLEC1owC+spNIbQRw+Dwbb/wMADFGhVUPJEwdGKhRmXKuVBAYBIlVlEHpc049rTGjNLocx3FCJ38VaCE5AIECbJurDC26AQsRWaioSuEN2uWKETXHAMSglxVu/m5QxTHHd3mIpIV56h5K3rM2zx4y1vegr/927/F3/3d3+GHP/whLr/8cmzatMnHA6+88kq86lWv8rd/wQtegM9//vO4/vrrce+99+KrX/0qLr30Uvz6r/86Dj/88AW/BJlMJpNZHvT7fXzqU5/ChRdeCCLCfffdh82bN+Pcc8/1t+l2uzj77LOHDgnZ18hOrMweh4oCKOTQMncfIxQuVghw0YhVg84rGnRhhVMJ56M+hOKXP0abC8uKTi1dWG1RQmDQodUIVzpyYbn7yUgUY997Jch0YHknVi5yz2Qy+yCs2UQJ+wzuA9UMGQfWTBdbZ7pGwFISPSVQM1AzoWIziXDaClg9zX4ioTPaMDhyLzk0mw4rBY0a2nRIBR1VTtiqoaChMWmDgROiQCGMUOScWD1W6KFCDzNQZj4hCpg4GVkPlmiR0VxsUFGNGgoMFRXCEwkILn13lpk4SNYJTBA2Nuhfw8BlZkSs7Npdarz85S/HI488gquvvhoPPfQQnvKUp+CWW27BkUceCQB46KGHsGnTJn/7V7/61dixYwc+9KEP4YorrsD++++P3/qt38L73ve+xXoKmcyiMNs0wgMpvj6dRnhwOo2wM3oaoRTN9UrT0OsAoCzi+3Yn4vfetQdHF9E5MF67nEymDwbTBtsuo0imEwYTBwemE6bH6qaTD+Poc3Hsa5DZc8xlCEjKP/3TP2Hbtm149atfDQA+kt42JOT+++8f32KXMFnEyux5rIDFUsRl7kGU0McIBZoYoY8Pxi6stMw96rYaBcWuK265HBW8By4s14cVRgmbyYP28C0RwrTEPSR1XIUxQxkUtZsooTLiVSBmZQbJccJMZhmjGFwDugJUj1DPSMz0C2zvdbCtb6YRmgmA5J1Yle3BMi6sRsBSI2JWInBaOieUggIgIe31RCZjrqBQUWVELJ5AQQITUqAjCTM1Q1kBa4YrW+jeQ809aChIMrMBCzadVsJKUfCP3XRfmV4sI2CFTiyJEiCg4AKFE9hs/J1d5yNTE4W0EwudQFchi1htsDbbuI41Xy6++GJcfPHFrdfdeOONA/ve9KY34U1vetP8HyiTyWQyC4aVBrdMAF7osQAzBCTkne98J6666qqR9/3Yxz6G5z73uQPu2/kMCdnXyCJWZs8jhClz9+IVgvL2ZBphECMMpxCmLqxQyPK0/ZvlIfuT28d9WG7dgy4sIfTARMIwVggMTiWMXoqguB2Ad1+5SGHYh9XECc1WUo0SKjuxMpnMPgnXDK7ZiFgVoaokpvod7KhKbKsKTKn4zdyIWLAiVjOJULEpdQeaovPmywaKiqKM00qjjwpdCDDML4DSxwk1KvRMRxWvRUECk4VARxCU1qaDixWm0UMPM6jQQ40Ze18jIBEkJMffhDsBi+0XFgqVF7Aq9PztCAIFuqbYHWS+SAFiNxaaCSZOzGIANbSPQWYymUwmk1l85jIEJOT+++/Hv/3bv+Hzn/+833fooYcCMI6scLjHqCEh+xpZxMrscVi6CKGwRe7WmeV6sOx0QnPqhCsnZBHYfDUeua7CTisAI4WqKG6IRBSTHB2fXaG72wZcWIhcWP5h3D4MTiUcFSUMXVoicF8JNHFCd92LjvnP3fyT2PfJTqxMZvnS36JRTQn0pwv0ZkrsmO5iR7/EtJLoaUKlCRrWaQRgqjZdWD0FL2ClXd3utorNN5Q1s++LivuyhG2mEqjYzPwDgAISE7wKYKCLApIImhuxrGIzkbCiypexFzCRlhIT1oEl/GMATYTQ0QhPGspONxSQVrgyMcSSS+/EasOJdAKEHz7h/7OwP4CVxAK6rEYeK5PJZDKZOTCXISAhH//4x3HwwQfj+c9/vt+3fv16HHroobj99ttx8sknAzC9WXfccceKiZrnYvfMnqdRfwBpNl2YKKGWwsQHpRGvvBtLNq6rNhdW2GM1VMBqXQu828oIVlYUk9xECO10QrICFgEYNpEwdGE5AQtA5LZy5wsnYCXuq0i8Stxbrg8rMzeciDWubb5cd911WL9+PSYmJnDqqafiP/7jP4be9t///d9BRAPbf//3f+/OS5DJLFumHy2xY+skHts+ia27JrF1povtVYkpJUxMkK3rShOmakJPGwGrr7lxYNmJhM6BpQEozai0jm9jY4ScuFprmI4s14dVosAkJrAWq1CSNHE9sHWBmc6pynZgMbQpYqcuSpqERGGihCwH+rAGhSxtH1lBc+OeKlCiy5MoUULaInkGonWHwt1KiRHsLi5OOK4tk8lkMplxo7XGxz/+cVxwwQXRlFoiwmWXXYYNGzbgH//xH/H9738fr371q7Fq1Sq84hWvWMQV7z2yEyuzd/CdV8KXuRvnVVPw7iKGOogQ6oE44RAnlqMtZZe4sZzjyolWnLqwXKww6cCixH3lJhJSIlilDi23X7SIUWEvVrhPko5un+ODS5/PfvazuOyyy3DdddfhzDPPxEc/+lE897nPxd13340nPelJQ+93zz33RN/IpCN1M5mVwrbtk5iuSuzql5hWBXbWElO1xJQS6FsnVqXNEMPK9mDNKEbfbiFEjYDlRCtXxK5tnJCDWKGAgAZDQKOCtjE+AQmBLgQKEiiFQGGdWGxdWJXtzKqoDw0FgrD17wVK7nonljl+/DOAaVDIcqXwAoWJEXKBDk+gsB4sEfzcY46fAxHlbyYzmcw+w7MPekF0uUPxx9Z1FMewDkiK3h8v4xj3AXHfOfafiN+DOzK+3FfD31HXdOO+wQMP6MfXHxgfq9wvXrtclZavJ48l4w85JOPrRVreLke8+xfFyMvFr7x2+H1XOFxrcD2mTix7nKc97WmQUuKSSy7BJZdcMvI+//Zv/4ZNmzbhwgsvHLjubW97G6anp3HxxRdj69atOP3003Hbbbdh7dq1Y1nvUieLWJk9T+LEcmXuRrCyp0Xcg2X2IxCZYldWFCuE0Z1mg13fVShmWdcVC8A2+vpCd/KCVhAlRCNUhQJVmwsrLGoPu7DSKKEcsXgJDZGzCnNmMeOE1157LV772tfida97HQBg48aNuPXWW3H99dfjPe95z9D7HXzwwdh///13Z6mZzD7BtulJ7KwKTCtpBCwrXvW0mULo+q/62kwinFFsLxsnFgBIEQs5bkpfzTr6KsA5sVJqX4SuUKCLkiS6JNERwnYgko8jGhGrtj1YVTCDsIQcUuZuHlsH580aNLkVaSiuUFDXHqmLjvFhoSAx0mkl0DjQMrPAGF8MMH/HlMlkMpk5ctddd805TnjuuedGX1aFEBGuuuqqWUvh91Xyl3aZPQ8RmBIXVmGEK7jydonAhTUkRhhOEgwjhUPgUOiKnFjGheVihGxFK+/C8gIWkkJ3PXQioROoKBGkBrqwZokSehdWUN4uk2mFmeEw01i3udLv9/Gtb30L5557brT/3HPPxZ133jnyvieffDIOO+wwPOtZz8KXv/zlBT3vTGZf4NFeB4/2S2zpldjSL/BoX2BHTZhWhJ4i1C5OqIApxZhRjBmlzVRC1rbQnSNtghmoWaNmDRVsHEQKAdMl5crWK6qg7ARYCcKEtGXu0ghkGq4TyxTCV9RDjZ5t1JIouYPSNGhBcmGFrFjMSl1YgCmCV1xBcwVmcyzJEl2UKElCzsFpJbKINSeMi218WyaTyWQymb1HdmJlxs5z17/FFLdLYSYSFtJ3YXkXlptCWBg3lrYTCr2QFXZktUQKw6L2OZNECqMJh04UkyMK3RFHC8MuLKDpx3JuK4qcV7ELC4j7r9KooYsTNnHDLGItFtu3b48ud7vdgUkiW7ZsgVJqYCLIIYccgs2bN7ce97DDDsMNN9yAU089Fb1eD5/85CfxrGc9C//+7/+Os846a7xPIpNZgnx47bnoa4meEuhrgUf7AjtrI1ztqo1oBcDH6KrAgTVdmwhh2HPFsIZf+67shCoGUEGBkm8+OBCwnP+KyUX6AGA1SiHQlQKrCkJPAZoYrJMoIXpQqHwRu0SJkl2M0M0PbN7DnYDlXVhoXFhucxQoUMIIWMNcViYG6SYXZhUrk8lkMpnMvk0WsTLjJxSw3ETCQgQTCMmWuQebQCNktYlLoRNrPoQTCUPxKnRohRMJnWDVUujun17gwhJtWzKRMHpprAvLiVmSGAUpCGKUpAa2DtUoqUaH4ux9ph0Ngh7Thzh3nCOOOCLa/853vnOodTeN+jDz0PjPr/zKr+BXfuVX/OUzzjgDP//5z/GXf/mXWcTKrAgqLUzPFZtNMUEx/GkVaPeazQTCGcWoNWzPVYMTcQDz745BUeG5tJ1XKY1LyohNYCNUuevCx1d262nto4QMFYlOguMJgq5nS9vZh4pqE3FEZXxfNkZYoQdtpTNBBQQVCH1Xml2nF6zjzA7Y42Z9fTX4MyfTzjgL2XOxeyaTyeyjuPHG4zoW5teJlRlOFrEyYycSsKQECuGFLS4EdOnELFPc7p1XIj4fxQrDDqu5ahTpBENX3h6JV4gFMitmpYXuQNyF1ebCQnA+nk6oW11YjZjFpvtqqJClshNrEfn5z38eZddTFxYAPP7xj4eUcsB19fDDDw+4s0bx9Kc/HZ/61KcWvthMZhlhRCwBxYRaG+dV5YUsu+nmd0ilTQdWpY2I43oiQvcV4ISdpszdvP2b69OJhGQFLFf/y5DQVpUIXU0M24OlNfpao881+qhQUx0cqz3s5wQsbcUsZe/H0KjtVEM33ZAgIKk0lfIs/P3dqdJso49xqbsrr1c6i1iZTCaTySxV5tOJlRlOFrEy44cI8EIWGeGqEH4SoS9zd1MJBYYXuROiCKF3Vs02mTC43UA3lggFMQZT0IUVilciiBK2dGENc2E5BqKEwSTCRszSkNAohEZJCpK0Fa9qTFAfE1RlJ9Y82BPF7uvWrZv1h02n08Gpp56K22+/HS9+8Yv9/ttvvx3nnXfenB/zO9/5Dg477LCFLTiTWWbU1oFVaTLn9aCAZQrdjWhlooNA7SYO2rdbARr4ckMnXUVEBMGxICRt3E+SdU8Ft3cRPQECg70Tq9aMihV6qKBIWUeVGipghbioYk21jSzWfhohW+FMWDnNTTX094V5Ppq49UthXzTP+WfFnNAYX7F7/o4pk1kQZxx4TnS5K+KJe2tF/KXhgWIyupxOIzy0iKcRHtSN3yzXdEZPI1TJ749SNPdPhzCtW11Hl1etSY69LjnW6vi5iW68VuoWyfXJ9MGJZLRi8lxponmtKLmvWLc6vu2q+HXMZJYjWcTKjB9hnVcuQugnEQofI2zihPBxQu/EEk0PVuiS4lECVkh6O18Gz5F41UwiDB5HMEgEopXQ5nz49Ia4sNpihGGvFWB+CKYuLOfEagSsxoFVUo0S5jQzO/MtZJ/tWPPhLW95C175ylfitNNOwxlnnIEbbrgBmzZtwkUXXQQAuPLKK/Hggw/iE5/4BAAzvfCoo47CiSeeiH6/j0996lO4+eabcfPNN49l/ZnMUqfn4oTWhaWSrbIRuUoz+rqJ0Jny9ibyF5aZaytUcSBYCTdR0ApTyrq0JABJAhKEgqzriRkaEoAajBPaLqweavSoZyOAgwoGsWnDiqcQatRQPljoBKyae6gxA4K01e8SBXUhUYAgreuqactSHMccHbUVsKZR7f4fzApgpcUJX/3qV+PCCy/MUfVMJpPJ7BNkESszfkQzjTASswqymytthy11DyYUCvJOqah4PRGyQmatAAmnGYrmchRNdM4rYeODFLuwwijhMBfWwH4Muq/aXFju9o2AVdvNCFkduz+ztHn5y1+ORx55BFdffTUeeughPOUpT8Ett9yCI488EgDw0EMPYdOmTf72/X4fb33rW/Hggw9icnISJ554Iv75n/8Zz3ve8xbrKWQyexUnYFXehdX0YnnRSDdTCFUyBi50YEkyETtnv3JClsN0HBLQMpWwFAIlCUADGjKIKTY/cIyw5lxYffQwg4p6UQzQHG/QkaWhwWSChJpMhDAUsGrdA5FAQRMgKq0LS8ZOLLtuJ8K5pTlBiwH0UGOGphf4p5HZl9mxYwfOPfdcHHHEEXjNa16DCy64AE94whMWe1mZTCaztKk1WI7pm4raHCd3Yo2HLGJl5s2z11wA6pRA2QEVEuiUVqySA9MIdWG7sGx8MJpGGPVfNcKVjmKFC5tGGLqwfGzQxxOdCysodLeXvWglYheWixKOcmEBGJhCmEYJHaELy4lXAhy5sH732G8t6M9nJbMn4oTz4eKLL8bFF1/cet2NN94YXX7b296Gt73tbQtZWiazLPjK056KXVs72LZjEo9OT2Jbvwxig6mA5aKD5ve8Ktj6itHXRsQykwpNzE8TQ4JAdnKfYPMen0YJgdCNFUMwApgUBMl284KUOa5m896umJuJhNSDQh2Xug8RsMypLXa3Apbbat1DzT0U6JrBIna6oeQiEKiaKYsa1hlsHVmaGD9+whfG8ue1kuCWvyO7c6ylzs0334xHHnkEn/rUp3DjjTfine98J377t38br33ta3HeeeehLMvZD5LJZDKZ3SZ3Yo2H2UscMpkEKgqgKEBSAEUxIGA1zquWaYQiiBHa3qu0B8sJT/MqcW9daHMMf6zQhRX2bDmRyfVjuUMMmTA4zIUFIBKwwstRlDBwYUmyUUJRQ5D2LqzM/HFxwnFtmUxm4fR2FJia7mCqX2KqlphWAjNKoB9OJbSnfefK0kBf2+4p132F5ssDJ2ARGfFJJP9MiQgFEQpBkJGTiqFYRxMKTRTRTSc0xyuFQIckOlT4+7tJiRVr1FaIcuKUF52se4oSBxUA352lqPYxQmbjzCKyRe5UoqAuSkygy5Mo0YXkws9NBKwQxuY1cXHJ5SCgLEk0jXdbBjzucY/Dm9/8ZnznO9/BN77xDRx77LF45StficMPPxyXX345fvzjHy/2EjOZTCaTmRNZxMrMn7IApDQCViFjAUuaGKFxX9lphLbI3cUIWbRtFEf8EvFpIXqCE6q8UNbmwkoK3R0uSthcjicVun3DytsBDOyLI4XBVELEUwklce7AymQyy55duzrY2etgR1ViV11gWknMqEbActHB2ha4962A5YUsbkrMQ8FJktmcU8n9IkMmjQ5JhK4QkOScVHGE0B8PzTHMPBJCSQKlEOiShHTuLc3oKw3FGirotTLHkV7IMp1Wza9VLkbo/nMxQs1GyHK4iYQSJUp0zcYlCkgUSaSQ0TwfthHHTGY+PPTQQ7jttttw2223QUqJ5z3vefjBD36AE044AR/84AcXe3mZTCaTycxKjhNm5k9RWDeWBLsphM6BJQQQdmBJgi6Fd2G5DqywC0tLCorVMShmzYXASMUDIhhHglbkwvJuLIarV4kmFKKJEjqMG6ARsHykMIkRAsNdWA7nxDLOLEbH9mFJWgZNsUsQHmOcMDuxMpndY8d0Fzv7HeyqC0wpgWkV/5tiwLixGOgpCgQsRk8xKm0EJGYrMqFxYblC97C3CjCDcQGAYDqylHJuKm0jeRwIV1YEIzTv8YIgWEQF8RVrHyWsUUOR8WOlkwQLGwGMhSwGQ1kXlo0QYgaanZNLgkhCokSBLkruoMtdSFvqnpa4+14s15FF+X1qIay0YveqqvCFL3wBH//4x3HbbbfhqU99Ki6//HKcf/75WLt2LQDgM5/5DP7wD/8Ql19++SKvNrMv8esHPMufXyXjaYPr5ER0ea2IL6+mOOaaTiN8YhF/jJ3vNMLZUIHLcr9kGuGatcl0wsfF9y1Wx9MDRSeZJphMF5xtGiHJ2HeSTiBEcD2tjqcP0up4OmFx7GuQmRu6Zmg5ni+LdG2OkzuxxkMWsTLzxglYEMI6smIBy/VgaSm8gGW6sJLYYEuBexgjnPM0woTBqYTwTiw3gbDpwjJl7qBYvHIMc1ZF8cERPVipmOUIo4SNE6uGgDZF7gPNLZlMJrO82NHvYEdVYGctsbM2IpZzS9mOddt7ZaYTOgeW6cBiVFpHcblQwJIidmE5oYusuCXJxACJjFimkimCIhDEiAgEgvS9hwTtHWImvtfXCn0oKFLQdr4h/ERB58SSII4/aDQ+LHMfxRUUGxcWQUKQANmJhCW66PAEShTegUWBiKXBENyk15yYlcnMxmGHHQatNX7/938f3/jGN/Brv/ZrA7d59rOfjf3333+vry2TyWRWErkTazxkESszfwoJSBsjtJHBWMCiZhKhRBMjDMvcE0FroMR9AWXuYXWVE8Oi4wj2ghYCQctNJky7sJyYlQpbACIXlmgTtOz1ALwLC4gL3X2UUNSQdn+HlBeyMvOHMcay3vEcJpNZsWyvSjxWFdhlBawpRXbmB6Ow7+2m6N0VuDcCVl9pVKwj4SoUsEIhzOEcVaUwj1PpZnpf7eN/rmWKgsuNE8uLRk5kQ1Do7gvZm2/gnYBlXFhNIbwGRxMJXReWtnFC+McUPo5YcIEOSnRH/GqmYRrJmymF2Ym1EMbZe7gcXLsf/OAH8bu/+7uYmJgYepsDDjgA9913315cVSaTyWQyCyOLWJlWnr3mAuO46pTmVDrnlWgErBYHFgT5Hqx0GmEUIxTmfChcpdtcfi+kYUqDPw4PClmuvN12YXkXlj0gBZfDKKGLF4pA3BrmtAKcoKUTMaspdPel7jAdWB1b6N4hNXCszNzQwYfTcRwrk8mM5v88/mzcu2MtfrKzgwemCOtKYP8OY79C47FKY1ctsFMJTNm4oBGxCC5Z6N1XGujZMvdKuyJ245KVoeAUOLmAQSHLv/UHEUEjJSlIG/8jEAo0nVnhfY0QZnb2tYnsKdbWhVWjtlFCDQUJE+cQLGyhexwlNI8dTCTkZhMQABUgSNuHVdiCeImSpF83c9zl1RzX/uzJavuCWGlxwi9/+ct40YteNCBi7dq1C29605vwd3/3d4u0skwmk8lk5k8uds+0I2VT4C7DyYNWwCoLcCntFsQGXf9V0Ik1bBphKljNt8SdGNZ6Yy5zeN8wSkhBoXvUgwUrWqWF7oOfCoZFCd11A7cLhCuzf7DQXZL2Ze6C2Ja6awgYoSuTyWSWOg/uWo1HegWmlYngKQZmFGFKCePA0gKVhumYstf3NTCjgGkFTNXAdA1M1Yy+MqIWczCNMChed2gY4cpt2u5TtgzeOLnMZvqsmqmEEgJdKjAhCpRkfgVSzEGE0UxGrLUplVfMdiKh8VI1FfFNsbsICt21r33XqK0Ly8UJHQICRGaSIXnpS/rn6gUqECQJlCSjTZKAJDHQl5XJDOOmm27C9PT0wP7p6Wl84hOfWIQVZTKZTCazcLITK9MKFQUgJMiKVxAinkLoyttleGocV1wI48AqnPvKRgWjyYQU9WDNq8QdgYAV7TQnvlvLdl15ccx1YQE+RjhczGoEq7Y4oWOYmGUua7/fiVmhC6sRsLQvdHel7jKH2RbESouIZDKLzQPTXTzaF5iqbVG7dVVNKYKGsJfJTxlUPChoGQEJ6FkhqWYn/jcOrBBmbm0N1ESABjQxFMG6urSdJ2jejwsIdITAhJTG5cRG+KqZURD5GDqBzH2ZoaBRowZDoUYVCVJtaGgoqq3/y7iwnPDlitwJAoKceCWHHouC18EhQdBsniPnTqwFwTxGJ9YS/iPYvn27mWrJjB07dkROLKUUbrnlFhx88MGLuMJMJpNZurBisBrPm7w7Ti52Hw9ZxMq0I4WZhFEUjYBVSLCUgCTjwIrEK2HEo0IM9mCF0UHZHh+MStxn0Q6cgJV2YEX390IWIkdWNImQXN9VGCVMi92Dx0Va4h7eLpg4iDhmmN5GQkcCljvfIWWjhTlOuFA0E2hM4tO4phxmMvsyP58SVogCNDNqTehZjUcxedHKfe9Qa6Bm45qq2AhYXryyAlZYVu70G+9Savld0r1Pe3HLPmZfa9RBFBDcQUECJQlMSLI9XOyji4rIurMIRG6/RoUaihRqqr0DC4AXsyhwUTFpP9nQRA9NnJADxYQgQLbQ3Zy6Zq7meYBMMLogEbnQ3ONUMKX3Kn/hsSBWyhce+++/vxlcQITjjz9+4Hoiwrve9a5FWFlmXyGcPggAkuKQTziRcK2IpxMeKOIpeutEPHFvHcUC/wHJhL50GuFkMb9phCr5t9uv48trus0XFuvWJNMI94+PTUV8XxLJZZm8T6SXi2T6YPJckUwzpGQyowgmEop1a5PHysGrpUQudh8PWcTKtGImEBamuF0KI2RJCTgHVipgOReWJHCBoAurEbJay9wDp1Toxhr2O+GAA4tb7uP7r2JH1mCccPgv/6GYlUYJQ8LooLucEvZihV1YTsByLiwBbZxY0OjkOGEmk1kG/M+U6wo0v5PXZhQgFAM9asrWHTUDPYUm8mcjfH2lBybthRMEQ0xXVBAxDH5gKNshxQz0WKGHGgrKTPYDoSCBjiRMFgTUJjqoNGNG1+iQND8ftIAU5KOEdeCoclMGmbX5MsRGCYkF2H75wNSECp0Ly9yv+UDkooSmB6s0vVos/POTMA4ssh1iqRtNWzdWJjOKL3/5y2Bm/NZv/RZuvvlmHHjggf66TqeDI488EocffvgirjCTyWQymfmTRaxMO9JMHoQQPkLoBCxdyqb3ypa3u+4rbScSaj+J0AlZgwLWSDdWQqoNRX1Y4e29KMZBjNBGCV2hu9/gxSzvyHKbO5y7LniINjHL7W/O62gqobveCVjOfeU2CfZOLJm4vDJzx3XkjOtYmUxmND+fmsFqWWB1IbG6JCMKEVCxcRKVwohbpf0iWNnOqZnaOLB6WqPWjB4rMDMkiQEHkit0B0z0j9lN6bOTAMlO67OOqpqNA8vITjVqOxkQMIJQRxAmJKHWwDSM8NWDzUNqQAiC1uyjhE2hu24ErCG4PqtQ8FJsphI6iEyUUFLpRbC0EN49b0mEwjppzD77OJqgiPIY1YWiCazH5KAa13H2AGeffTYA4L777sMRRxwBIbIjI5PJZDLLnyxirVDO7fw+ICWoKECuwF1IY1+VJjo4MIUwEK7mImCF0we9cBUIWFEROxAJWUPhWMAiJ1rY38tC4SoqkBfBNkuU0AlUra6rwHnlI4OkR3ZjhVMJXZRQ2N6rZl+N5x39/bn80WUymcxe47bjT8XUVAe7ZjrY0e/gnh2r8d/bJe55rI+7+SfYyjsBtQZdIcBMQZzPTHZVDJSBFatiYMZGCGeURsVuU2ArTLk4SurCclFC57QCTP+VYCNkaTQCVg9146IiFR2vEOTFNScOubp2BSNeEeCjhM6J5RxVDtdl5arZlXXQamho0rYK3t4vihNKCDgBy3RikS2IT3FClr8vAf916D8t5I8ys4I58sgjsW3bNnzjG9/Aww8/DK1jIfZVr3rVIq0sk8lkli5cM1iOqROrzp1Y4ySLWCsVEiApQVICJGIBy7qvIgHLxQel+c3fi1bCbm1RQYFWF1bqwJpNvPKa0FzeQ8Jj2jv7x3QHc6Xu9nLswmqmD5oYTPtUwrTzqm0qoenGiqcSutsYB5YrczdTCTO7z0rpOclk9ha9mRLbpyfwyMwEHu2XeKQvMG11nFW8Dl10/JS/tK9Ks+nAUsx26qARsGasA8tMDjR3KqyAYybvtUQIuRGvvBML8AKWYPIdUY0Dy1S6G2+X6VphNk6wnjJ9XQJASQKTXPqJfzVrgIHKTyR01fAKAtLHBgkCwkcAGwGLrQNLQ4FZRzFCYbuwGvFKRG4sP40RbRMZGTr/qBgLK821+8UvfhHnn38+du3ahbVr13rxFjBCbhaxMplMZu+QO7HGQxaxViiNYEU2NkiNgCWtgOUnD8pmCqHrwJJOvLIdWAOuKyNsIbgcTQpMzs953WknVnRly7EFbLTQilfCfjAI+reAIDZI7sMDR1FCEQhYlApZgaAlrOvK7U+nEkrSfvqgL3MnjXKWaVeZuZFFrExmvMz0C2zvdfDwTAf/MyPxSI8wbb9NXM2r0EXhRae2t+bKKluu3L1vBay+FbEcZHufXP9T6MJyglUoXhmnV/xvtGYNZYvce9Rrjs3GM0X2TV9ZIUuzec/vCAGNApoZptLLTHNzhfBpoXvjoIqdUxpsJhhS7aOEGgraClkmPugmExaQKFHYPiz3nIHBaYxOwEpL7zMLZ6X9rLjiiitw4YUXYsOGDVi1atViLyeTyWQymd0ii1grFSnNN3HSxAbJdV9JEU0ijMrcpYhK3OHL2l1xe1PkrmUsaKUxwlREmm0i4cCnIx4UtBrxiuOJhEGM0PVhDUYJjTglhI5cV6F4BcTOK3OqBy47F5a/TzK5MHRhmXL3OjuxMpnMkmS6KrG1KvFwT+J/pgg7KsZUbd6vVqGLCVGgJOE7q9Ky8co6sdzkwVqzjw9qMAoIEFlphxoRi8j2XSUClj91j0WNG8sIUBoVKlTo+4ieBFCYRzI+KWb0NUGz6cgqBSBIGneY1mDbkaWsE8v1Wzmcg8qcH4wAmkL3RsiKC91NF5a0cUJX7k7sHFkUuWRMyTt5AavKVqzMAnjwwQdx6aWXZgErs9vMNo2wm0wYPEA2U/MOpInourXJbfcT6TTC+MPB47rx+183iXlNlvN7f0ynEabTCic7zfFWr4unE5ar4tsWq+O1F/vFkxjFRPxcRTe+TMn0wYFphOnt08vBdEIkkwuLY1+DTGZfI4tYKxSy4hVEKGZZAcuXuZtNl80kQhMRNKKU68PSoZAlhvdghVFCTk6B2R1Zo1xYA5MJrWAVRQkFxy6sKEoYu7CE2+cOO0uUMDx159MoYdiHJcgUuYdl7pndRzOBxvStuF4G365nMnuaqarAtn6BX8wQHthVo9LshaVVokQhCFIQKJiWF8YKa22cVzNKmb4qK0HVgbOphEQRxAhTJ1IqYLnHGRCy7HErqtCjaUiU6PKkFbIkBMjHCZ1DTBDQkeT/vbti+Ao1KupbAUt7J1YjXknfiUVBpNDFDkMBS3Nt7kewKykhIAMXVhMlJCdt0eBr4NaW2X14jMXuYyuI34M8+9nPxje/+U0cffTRi72UTCaTWTawYt9lNY5jAbkTa1xkEWulksYIk0mErgdLF42ApW2huxewQuFKDhGugpihnxTYJmTNh6DSKiIUstzlMEpIsEIWR10jYXRQJOfTLqvRUcJ2F5aLEvo4IRgd24XV9GLF3/BkFsZK6znJZPY0M0piWyWwZYaxqXoMJQpMosSkLDBZSAiYHx/AYCeWYhMnnFEK01xhGn1zOysICQgU3n1kXFHO0UVEYGaACcpFCK2AxQg6sQLByxWxV+ihj2l0AGh0ISDQsYKTKX9n9BUbAY5M0TsBqLURkBiMvnVzKaq9E6spcpeQKKzcFH9brkl70UtxZaKErPzPJyLnviq8C6tpxSKkAh5gu7BgHWw5ej4WVtrPiuc///n44z/+Y9x999046aSTUJaxi+OFL3zhIq0sk8lkVha5E2s8ZBFrhXBu93zTg1WWTR9WGCMUrrRdgIXbCHC9V+5UBgJW5MAa0osVxPrCrqpZ44PDmEW88lsgpoVRQrJRQziXVWupe+yqSl1YbVHCtl4sGdwndGGVVEPAdGO94Oj/WuALkclkMuPnWy87Bf3NFXb9osTWx1bhv7cW2FETtlcKj4lHsYrXoOS1AICOaEQnoP3t2bmHeqgwTdNRebngjr+dgHF0pYRxwja0nWjopgu6yYDal7o775P0xe1sxTUnnElykwoRublqqlHb6YLGidWUsQtIX+ruit45EZi8U4ukF7wa4UqiYCPhSS68U0zY5i533sUL733iF2f7o8tkhvL6178eAHD11VcPXEdEUCqLo5lMJpNZPmQRa4XghCsvYBWFEbCKwghXUvgeLBcj5EIE0wftqc3cDUYHw/2BgBRGBVsif3OdSjg0SpgciwVHbq9wKqFzXzWnTZQQ7uZzKHQHkqmEwURCs69xZBnhilEKZZ1XykcJBXIsZNyYb9fHVdY7lsNkMsuKmZ9X2PFwF49uX42Hpybxy16JKWsUXcVrMMGTKElGPVjD4ORN20fmWKCAEW6klbTc+zIH//Ccs0u3vvk3t3VOrcoJV2x6p7o8iZJLTKLEhCgiB65ihmLTNSU0oMlMK9TMQx8PMHHCAiWkFaD8WkMHrvNWUYECXT+RsKCuFbCMcEVeuGqihEQmSui+XMnsGVZasbvOXWqZTCaT2YcYbCTN7JtICSqLpgdLiDhG6CcTki1xD8WroJw9dF+FYhY1wpW5jgacV5GQNQutcUH2vez+2JEY5h8bgGAraLk7uQNHJ83j+dhgI1y5aCHQiFYAhrqynAvLCViu+8qJV6Wo7UTC2gpd+ZfKTCaztHjsoUk8vG0tHty5Gg9OT+CRvsC0NWms4lWYRIkuSduDFRtg50IoYHWsO6qgxp0FGPFKBz1Yw/CuKShfxO5cURIlSnTRRQcdkpgsJLrC9G65cvdKayhtyucrzVCazWRC22XVeLvMCxCG/kQQJfQOMIRDPIz/q6AuCkx4Acu5sFwLlhHDqHUDTOI//6KWyWQymczehzWPdQNMJ9YJJ5yAD3/4w4v87JY32Ym1QogErMKWutsSdy5cqXvgvpJW0HKRQu+8GixwTx1YTvAKxasBMWuujHJhAbGA1SaYRZs9SHBKyRYcdmhhuznV0fWhC8udehcWqYHNFbpnxstK+3Y9kxk3v3hsDTZPT+IXMyUempF4rAJ2VbbInTooSaAjBKT50QCgcUwRmrfqtB8LgJd/nIBVQkLaPqyUaBLhiLdKVxLvJglqsO3aKlFyiS4KTEiJSUmozfhCH3EkFr7gnQVQsYZibY/TFLTHz8HEACVKL1rpZAKhjxHaZ6vJXCdRehcXQUKy9K9HGCV0LiwXJcyOrPGjNUGPqZB9XMcZN3/913+NN7zhDZiYmMBf//Vfj7ztpZdeupdWlVlunHHgOdHlVTKeuteluBdwlehEl8OJhKtE/LHzwGQa4bpkGuEBnfjNP51G2Cnm93t0X8VfCQxMI0ymG65b0/TVTqyJH4uK+L6iK0depm7ykbuI10Jylsvd+HWNphECoG7z51L8ymuRWbrkTqzxkEWslYITsGTswIoELOFK3MWAYAVCUN4exwgHphEO67+apxsr0nhCMSvtwEISJQy7sABb6s7R4zZRQviphM3+QdEq6sVCer7pxmpcWOwFLGkFLefCktAQ0LnMfQ8wSu9cyLEymZXG/0ytwkMzJTbPCPximjFVmyJ0ZsYqUaAUhEIQSmFib5qNg7VNtGrDlblLiMiFFQpioYA1Ch0IWH1UUOQcUxIld1CiRIckJqTAREGYqQFlH0eBIdi+X7MRIhSzl6904JR1kwldH5ZECckSoEbACu9DNmgoIKGhIO0zJohkGmFT5i4hfJTQv1b2+6DZYpuZ+bMSit0/+MEP4vzzz8fExAQ++MEPDr0dEWURK5PJZDLLiixirRScgGU7sCBlU+TuooRuEmFa5k4uMthS3J5OI2zblwhZjmFGlzBKmLqwiIPJg2gijZEDS7AV0YKphO7+NFxDSycS+sstUUJ3vl3MaiYShgJWuLkphZlMJrOU+B8rYD00xdg8XYHZTO8riDBZCD9BUJJzrBohK8R3WSVvccTC92C5Xi1TrB6/K7c5sIYJWtpNEqQKDOUjfhIlOpDoComOIKySptC9bxelOPjGXQsQmYhhDQ2mJiDoBCxmDRCsCGVkKrZerFT0AgDJhV2HOQ3jhyZGOOjCSrfswsrsDvfdd1/r+Uwmk8lkljtZxNpHec7+r7XuKxoUsMRgkbvvwXKdWFbAspmGAeHKRwiDKKEXkgI3FoBYYMIc44QDH34G94VRwTYhK4w0hgXu7oBhjND1YbUVuqeEUULAFLoPTidk67hy3Vjau7AkaZRQXvTKjI8cJ8xk5sdnDj4LW2cm8Givgy39Ag/3Bbb1ge19je2qhxISEyhQFsJPIxRkJ+hZB5ZxDzlxyET8NJvzyhalU+I8CmNzDmbXQmUEJUcokjGcwMVg119FGgqVL1ovICG5MA1U1jVmE/JGhAs6pzSb9iuCEbbc45vHat6jicy9ACPGCQgfINTUiF3ObQXArycUr8wpoc2FJYNCd+e+4tB9nBkb+WdFJpPJZGZD1wwtxmM60HXTiSWlxCWXXIJLLrlk5H0efPBB/Mmf/An+5V/+BdPT0zj++OPxsY99DKeeeioA83vTu971Ltxwww3YunUrTj/9dHz4wx/GiSeeOJY1L2WyiLWvYrusBiKEUjYRwlDAsi4s14MVCVREPlLYTAGkAcEqFLjSbqp5TSMML48Qr+LIIg/2YLmDuM1ejqOE7Z1Y/mUERw6t9LpQiDJiVuPCck4sibQXq86l7nuKnCfMZObFrn6JqVpiRgtUmpp+K4LprCKBQhAkGUdW+hbuhCznplLMtiyd0dcaPVZeFCoC15GDGdDE/nEV2yghN7MNQxeWm0iYOrOc06nkEh3btlWQEYcYprxd2/WWgtDhpq9Eg6E1o4Ky/1WoUfnrnXjlHsfcxzq0bAG8hvJdWJrMhER3G+Efp7m/O66LVUonaJFxvSG4Tx4sN35Wooj1wAMP4Atf+AI2bdqEfr8fXXfttdcu0qoymUxmZTHXTqytW7fizDPPxDOf+Uz8y7/8Cw4++GD89Kc/xf777+9v8/73vx/XXnstbrzxRhx//PG45pprcM455+Cee+7B2rVr9+CzWHyyiLWvknZg2TJ3Lsx5LlwnViNgcREIWDIWrlLRKIzxRb1ZbQLTfOFYwBpiiIojhYSBcnfXg0WpsOXu7sQstEcJ2widVvE+PfS6kpRxYFkXlgTbLX8yyWQyi8uuusCUkugpQsUEZd++TMxPoCSBgqybacj7edQ/q40QNaMVZnTtG6OMcCW96whoBCywcSe5CGHN2kwJZB4Qq8LL7jyxAMiIZAUKlCjQRYFSGMlIM6PS5vEIRoybYGkEN1vyrmy/Vo3axwg1lO+3AmIByj1+OJHQCFlGnHLxwlDMkmiEs9iJRShstNLFCM3rw3PuGstkRvGlL30JL3zhC7F+/Xrcc889eMpTnoKf/exnYGaccsopi728TCaTySS8733vwxFHHIGPf/zjft9RRx3lzzMzNm7ciHe84x14yUteAgC46aabcMghh+DTn/403vjGN+7tJe9Vsoi1r+LyCK7vKowQFoELS1IkYGnZ9GHBu7CcOOSEKoqErFDMisrb5+HC8iQCVrg/fn4tjwN4Rxa7IncrZoWCFQKRKowS2sN6hvVfhfukd1zF13nBykYJm26sGgJ2X7b6jJ8xfrs+vzGamczyZEfVOLFqbSKAJiKIqLPKRPHMfZxsw+wT51EssGZGXytMoWdFoLjrKcQlBTXFApaL9jk/lhOs0vs7CBLEwgtYHWE6t9y6oudlY5F9BWhtHrdi68IiBUV1NJXQTRkUkK2PrW2xeypymedlpC4TM1QAQleXfU38a0y+zF2jKbkPo5WZ8aCZoMf0Hj+u4+xJrrzySlxxxRW4+uqrsXbtWtx88804+OCDcf755+M5z3nOYi8vs4RIpxF2RRlfTqYRPk6uji7vR/EUvS4173lF8v69KplasTaZNrimk3QNJrGujoyvV8mk0HQaYV+N/re6KplO2J1ofg6Uq+L7FquTaYSd0dMIB6YNFsnPk+QyTcRTINPb0+pVyf3zR/rlwvbt26PL3W4X3W534HZf+MIX8OxnPxu/+7u/izvuuANPeMITcPHFF+P1r389ANN1uHnzZpx77rnRsc4++2zceeed+7yINfgbV2bfgARICPPJQrYLWNpuXBC0FI2AJQMBS2LAiTXQgRUJXRgUrlIBq+VnyDC3VVsXFgfHGxCyBLwDCwRQS465LUpo9sduLEd8Xvuy97TTKo0SuttI6KjMXfrbZSfWuHETp8a1ZTL7OjtriWlF6GlCxU0ZO8G4sdw0QkkEKciLVg4nYIUF7YoZPdSYphlUNqQHADIQtADnZGo6sEIBS1lpqG7Zwvs16xDWhWVihBNCerFKM1Br86NE2Oc0IU1M0jnAzGOZKKG2EcHm2DKQ4GxkMJliyH6PClbXOLqa613E0MUHhe/CEu51DF5g5xbLjBfWNNZtqfPDH/4QF1xwAQCgKApMT09jzZo1uPrqq/G+971vkVeXyWQySxNW490A4IgjjsB+++3nt/e85z2tj33vvffi+uuvx3HHHYdbb70VF110ES699FJ84hOfAABs3rwZAHDIIYdE9zvkkEP8dfsyWbbdRyFb4O6K3KPNiVeuxD1wX0XRQO+soig+OODCSkrd/e1aF5acJm6rgRjhbL+7p9HFgTjhoCMLGIwSUiBchVHC8LxoWUxblDB0YUk0+5wLy8QLOTuxMpnMorOjFuhrQk8DlW7ihM6x5F1Ywk0kJCgwBAOaGgGrcNFtGOFlGj1M0XZMYA0ET3rBxpW6O9LS9rDcvQ6mAzZl6wQNgSLpqWIbWSwgzERC2TibGECtORKJBIBKEGbIPGaFGopq1FRDoY6igb6Untu/9wsjhfF+5a8PXVzETb29EwuLsNgdBAFGBecSy194ZHaP1atXo9frAQAOP/xw/PSnP/XFv1u2bFnMpWUymcyK4uc//3nUidXmwgIArTVOO+00bNiwAQBw8skn4wc/+AGuv/56vOpVr/K3I4o/dDPzwL59kSxi7SM853FvMJ8ySACCjAurLUaYClhiiIAl09igE7YoEq68wOUErODfzKwxwjlqOMTtzqtGMOM4Xug+Z7iIoBWs/PES5xVg3FaExHUVfssf3K4pbQ9PW1xYQR+Wiw8+5+i75/akMwtiJZb1ZjLz4cYDfwvbeh082i+xrSowpQmVBvr21EwXRBNxE82kPM1OaDJxN2WaymH2ku2fMsJU6DoCnDDTLmAxmomDtQ/ncSRghXE9hkYdHEdAAGy6sAoSprg9iKmk34ek8UcjmCnUQUm7eWxpY4QCEqWTssALcNFqKEgU/hhOcBPUErEE4/uH/dO8HyMzd8bptl0ORrmnP/3p+OpXv4oTTjgBz3/+83HFFVfgv/7rv/D5z38eT3/60xd7eZlMJrNiWLdu3ZyK3Q877DCccMIJ0b4nP/nJuPnmmwEAhx56KADjyDrssMP8bR5++OEBd9a+SI4T7isIMhFCaWOEUjYxQiHAfvOZhUi4ilxWoYAlmk1Lii47MSt1Y80nRhjS5sIaiBkmx/drtE6rpg+Lo/X4h4+cWE6YShxXQ+KEbfG/US6sUtQQZBxYEgyRi9wzmcwis6sqMK0kZpTAjCL0AwGrTuOEAl52Utq4mSptStL7itHXbE4V0FOMGcWotWmxKlCgy5MouTTiUkublXvLdwJWWwcW4KJ3wu838b8m8ichUaJECYlSmJig29x8EqAR4RS7zUT1lBXc2IYYGRps3U++D2uIC8usL3BrBdHD0H0l7ColS1tA3xTca5gCd7MeKw5mMmPk2muvxemnnw4AuOqqq3DOOefgs5/9LI488kh87GMfW+TVZTKZTCblzDPPxD333BPt+9GPfoQjjzwSALB+/XoceuihuP322/31/X4fd9xxB57xjGfs1bUuBtmJta/gCjWImmmEzo3lciCuxF2kUwgHHVhNWTtF0UEtQxEruF0qXI1yYKVLn0tsEIOPE0Ye2/qwBh+keanct/CxmMUDUUIvYKG5TRghdKQurCYyqCGJjZCVO7D2PDyPv3hzOVYms4+xqy6ws5aYUgIzGugpQm1FHVfsDjT9TGHyu9KB0MIMpZ3Q1ZS+u/4mU7A+gQ5KL9gIJ9ow+3dPV+DuBKy06wowQpKE650KJwIaaaiwfqkOmTJ30+PlHDIEgP3zMu4vAlmxSFnxTJGTsnRU6t48flxubNar/CrcKQWxQ02hMVgEvV2F7wcD4Kc0agYEI3n0zJ5AY4zF7rN9Q7cEOProo/35VatW4brrrlvE1WQymczyQNeAHpPlR1sL+dOe9jRIKXHJJZfgkksuGXr7yy+/HM94xjOwYcMGvOxlL8M3vvEN3HDDDbjhhhsAmBjhZZddhg0bNuC4447Dcccdhw0bNmDVqlV4xSteMZ5FL2GyiLWvQPZbXevAAhnBCnLQheXjg96NNRghDKODHJxHImClJe9mLW3rSy63iVZtLixu7psWxzvRKlpD5AjjKEroe7CcGwuIBKyQtihhSBolBAYnEgrSPk4o8zTCvcJKi4hkMvNlSjkBi9CzTqzGmdT8vScynVia2UcEgdDBBChtTsMJhZW1chUQ6HIXpS1bd/6kUKAK689DAcvdhpJJfhoCcGFD0gAXkJAQIJRkXFilIL8puxbnLmM0cUdBjROrdtIV1VEZu3lcgYIL7wRz6/brYgFFOhKwBMRAT5bZT5B2xZKE/ZHVCFkAfC18Zs+y0qLnRx99NO666y487nGPi/Zv27YNp5xyCu69995FWllmsZnvNMK1YiK6/DgR9/l0k5BPN8hurxXxdQd14/e6dBphOn0wnU6YopJ/i6mrtU4ur+3GO9atrqLLE2uCSHwRH5uSyYqim0wPHJg+mEwnTKcVdsvRl1dPJtfHr3vxK69FZnlw1113zSlO+LSnPQ3/+I//iCuvvBJXX3011q9fj40bN+L888/3t3nb296G6elpXHzxxdi6dStOP/103HbbbVi7du2efApLgixi7SsIK2ARNT1Y3onV4sKyAhYE/ATCOEI4GB1MHVhtIlbUXeUIzjPFEcGhscGUQCBrd2JxXCif9mClh0v6sNpO286L6H5xlDB1YbmJhMIXvGcnViaTWVx2OReWcmXuRpjSVsCqA8HKuKuMkGW6skyU0IhXZjMClnmHJWqcWBICXRvxk2S6n8iYogAMRghTAYuhvYglWgSwGsq6mwgSAiUJdIWwhe527YKgNUMQ+XW5I5j4pJuE2Ewl1FA+SmgeWxrpiSWYtF9D3Pdl12kFLHM/AXDjxhIQkGxilSVZUS+IEwKuaywLWJnx87Of/QxKDXr8er0eHnzwwUVYUSaTyWRm43d+53fwO7/zO0OvJyJcddVVuOqqq/beopYIWcTaRyCXkQt6sMx5GnRhFYGAFTqxQpdTuAkyQpcTreTCerBm/bJyVBdWcqyBx3NCVtiHhWa/Oc8+Phj2YYWHHi5g6ei8wGChe+jC8oXu0L4PS+ZOrD3PXKOpcz1WJrOPsbMmzChgRgE9Zb6Z1mj6ohwCACh0MZn+q5obAatiDWHf2MPYIQBIErYWnXxJvAD5DiwAkYAVTiIMcQKW2xQAJg2FCgVJgM1jdWwXlosSlgKANtE8t7bwubgOKufC0uR6sbS9TShkWXcVm/f/VGhy8UEnqUWvIQOKtJXamtekoOZbeCdeuZhlFrL2PMzjixMuZSfWF77wBX/+1ltvxX777ecvK6XwpS99CUcdddQirCyTyWQymYWTRaxlSjiNkGRT5O7dV24aoZRAYYQtLgYnETYurPCURriuKBKtRvZgtbiyhrqwhsUL011RnLBxXw2LE/rHalHFUkHLIRD3ZKV9WO6832cL3d1EQue6Mk4szl1Ye5GVFhHJZGZj4+rnYEddYFctsbMW2KUJM8oIWX3vwmreA93kQbburLRsnLmJ4SnWYO/CaqbsEeDFq7DOvYkOwruwmn2Dzqb0fi7oNyAiOZEr+CerdCNauTW5CKHmJhbJ4NYYYSidhcXyYQm8X597j2f3IygUsszkRGH7u4QVsJxTOI0tO4daZs+yUn5WvOhFL/LnL7jggui6sixx1FFH4QMf+MBeXlUmk8ksD7RquqzGcSxg7p1YmdFkEWu5kgpYhQSkBBdyQMDShUh6sGBOXYl7KmD5qF57bDCM8w0tcB8lYI36/XzIdc2aBl1gLLgRsILHhjWn+YvUbHMhig0GkUHnwIrErcSJ5XqwSqqNCyt3YmUymUVge1ViSgnsrAWmFfmJhDWb/irF8ZhiDePOqnUTIfQTC4M8YBj9k2Q9SMGbayhehYKN5sZ5paCj4wAIRCNzp9qLS+x7q8IonwAhfEuvNds97AU5Qabfq7LXMbOPRNb+2CoqdHeeKcECxK6EXUCzgCAzHdE5uJwAp0hDQ0CwjlxZJUqUbArupRWwXDySKPfvZfYcWpu/m+vXr8c3v/nNgU6sTCaTyexd5tqJlRlNFrGWK6GAZd1Xvsg9cmDZGGEhoCVBS4oFLC9OUSM4UYtoRIOClxezwvvMh9CFFUQII2MUY1AQC9cXXG6ihC15xHTyYNtL2taTlbiwYvHKilVWpHJ9WCUpe3sjXMncibV3yR8IMxnPY5XEjHNfaSNg9XUQJWTbVWgS5lBWwOprEx8E3OBb8uXtYOOkUkYigjX0GkEpeHMNe6xcZI4B6+CKXVga7IWrUMQCTP+Vohq1FZkYyohE3Ez4Ezb6qABAM5yU5dxZUgAMglJGclKcursCJ5iN+rmJgk5WS+cGOgGrRmXXbfxa2r5GZnKihOTCtoO5+vfmeebo4OKg7TauYy1lqqrCUUcdhUceeSSLWJlMJpPZJ8gi1nLFFbn76KB1YLl9XqwKYoSF8EXuLChwVKVurMSFFXRgRZMIw96pFlpFrTahqvXOyXFS55crcrfTExG6sbzjalDMCuODoajVNoEwvC7typJJnFBYscoJWx2qfZQwC1iZTGaxeKwWVrQi1Gy6sPrKCFWVNi6rQpB5qzRd5KjZCFgzWpn4myAUQDSNybmppCsyp8aJFQlZTI1YZCOIw2KEGozSijwSIipRr9BHTfVgebp9bMBGHZ1Qpky5eykI0s43cRIUB3FIBQW2MwFDyItX0p/jlh922t7XnEpYLxYEur7MvUSJDiRKkk3BPbIDK7N3KMsS3//+962TMrPS+PUDnhVdliSiy+k0wrXJtMEDRTwVb11y+wNF/FEymcmHIvh7d1AnftObLEZPH0wvJwP+MFXFO/p1/He8p0b/nV9Vxo8/uSr+oqIbDHiT3WSaYJlcTheXMDitMJ1mGL+O1O2MvAw5+vEymX2d/C9gmdJa5C6EcV+5zQpYWgrowohSurBurLDzKhWwAhcWwtsFccJ0CuGwMvdI7EqfQ+rCGlboHtC61rQHKzyFE64CYWvW1zYUqMJC9zhK2B4jZO/CclFCV+qe44R7HtdzMq4tk1nubK8IOyrCtAKmaiNg9TSjH0wmrLXrqXLiFtDXGlO6Qo8Vat1ECp2LqPFSsd9PBF/gXpDZws/N7O/n4oQqckM5COQjigCgSKFH06jQ83FCJy6FYULjsIJdf1NCL2DErLAzy7Ra6eA/I0Y5r5SPEwZdVk7Yap6Pu2cVCFlNUbx5XYSZSAgzkdC9PqlrLbN3WWk/K171qlfhYx/72GIvI5PJZDKZsZCdWMuVoUXuNCBgeSeW20bFB5MYYVTunjii2nqvHKN+pxta5O7v3Han5PGtYwCCo+mEqYA1jGFTCIddPypKmBa6m3ghN1FC+2Emi1h7gdn+bs33WJnMMmd7BV9krgORqtJs+qMIAAiCGZLM9MBKa/RYYQZ9KC6MKGWL2gHYKXqMGgql/TWCqPnGPXR8COuO0kF8r+m5Gj2NkEG2rapChZ53SxEJyDQxbh9TaSutsRGQtIsTktl87JAb8cwVu6eE/Vwi+aGiI9HKnBIEGBoSpT+ehEQJiYIEChJGxLKH0myer8pvNnsdzRjbdEK9DP74+v0+/vZv/xa33347TjvtNKxevTq6/tprr12klWUymczShbXZxnUsIBe7j4ssYi1Rzu2ebzqvytJYTMMidyKgKEwPVljk7sQrYUrctReyXKm7m+pHQ3um3HXh1L+01D1yX6W/A87mupovibjmitxj0Y2bcvfAceVL3YMphKEbS9DglEHnsAIQua0aF1YcJXSkhe7u9AVH/9cCnnQms+fQWuMnP/kJHn74YV/66zjrrLMWaVWZhXLX85+K6YcI2345iV/uWI2HZyawpVdiS19gS4+wy6YjNLOdLGgEHKCJ/YWiimYby2ONGgoS0otC2vZazQfthX/yjxvuD0mFohTfUcXCdE1B2rJ0giQXJzSnFWtITehI8vKU68JyUcIaGopUa6m7m5BI7PqxQsdX47Rqf87KP59mcuKg80qAoMmEFO9/4v935HPPZHaH73//+zjllFMAAD/60Y+i63LMMJPJZPYeudh9PGQRa6liO69IiuY8UdODJYcIWIUVsQpqXFSuyD2JBAJoxCxhitu9cEXxvtZtrgz7zDMqQhhGUALBKnSEDfRzeRfW6A9ZBASiVtNyIoK+rDRKCH8bHQtdxK1RQnO73IO195nvX87ZjrVv8fWvfx2veMUrcP/994OTQh4iglJqyD0zS5VqK2PqsQ4em57Ao70utvYL7LCTCCttnEmAEXCcECWIoK3zKvhOAwB8PNBhBCwn/JhjuFuE0boQZh5wp5h2KYIKhB0dXS/842k0IpMGg6yfCQAkSpToQnKBAsbdVFqHE5NZY+XXazdNRrzTdmNGBWX/q/x8Qkqej+AwOmjik8a11cQGzdolXBNMegxguEggCLZVv/XqzB5knDHA5RAn/PKXv7zYS8hkMplMZmxkEWuJQlKCpARIAGIWAauURsByLiwnZDnxSmIwRpg4sdykwrQLCyIRkXZTwBrafRXuS11ivrwdTZQwig82B6dE0Er7sNwEQqLYZZWWvM9lKqEXsEZECTN7mRwnHMlFF12E0047Df/8z/+Mww47LH8Dvw8ws63Ajl0TeGymi21VgcdqiV2KMKOaziugiTx5AYoaB5a5TP46755KhKVKax/DM9c3MTsnkIX3d/vDx5AQUIk3PxXDXGdWKKgJ205VcAHJZuqfi+mVglAKQHHjdvJimDY/A50DTTGjtgJZbWUyhQrM2jh5fWl8Wk/cHLem2k8kBIyw1rivBu/XFkkkIjCz+XPIKtZeR/P4YoDLIU7o+MlPfoKf/vSnOOusszA5OQlmzj8HMplMJrPsyCLWUkVK68BqnFiRgCXNJEKzhQ6sUMCi5nxLOTuAQADCYBdWy9TCSGAKjzMbc/0lj+PH4/R81IGViGqpcIXw8mCU0Lmw0iihc2HNFiV0fVipWOWihCWyqyWztPjxj3+Mz33uczj22GMXeymZMbFrZxePzUxga1ViWyWxrW9K3Kdr03+lgvdezU20z7mwQnFLtzioAFuCHghAqYsvvS23iFlEZlKhKUh3JemDx3GdWQUEajTl6BIlBJvTAgVKFJAkUNjpg2XwZFwcUrEwa9ZsHVhm8mLNGhVqKFK+D0tDmSG31O4uc2tzopdC5QUrshXw5nUMCupZDAhUqZCVp+tk9gaPPPIIXvayl+HLX/4yiAg//vGPcfTRR+N1r3sd9t9/f3zgAx9Y7CVm9hDpNMJ1ciK6vErEU+8OpPT6+KNiOo2wS+l7XMwBwTDDtZ349+VOEf8MkDT6w0KdfDes9Fw/hBhWlfHx162u4uvXJF+wyOb4opM4dTvJdMFuOl0wuZxME6RuOfLywPTCbjw1sjj2NcjseXQNzPOv2chjAbkTa1zk35+WKCSFEa5IgITtwQqL3N3M8LYooResXIwwLmePRSDyYlVc5o7GjZUIRkPdWKmDyu3enW8p08eOJibCFrvPHiGMDpc4sQbcWaNcWEmU0BH2YbkoYXZiLQI85m0f4/TTT8dPfvKTxV5GZoxsn+risX6Jbf0Cj/YFHquAXTUwo8wEwtoWuDtBy08ZJPMjpBSxI4s5dk8BxhllRCHjjXLilJOkHL47KxC93LEEjHBGaHceieQ4LkroI3tWwJIsbRuWiRG6KYiFMOKc+6VGwbrGbA9Y2IflXFgKFWpUvpjdPNf29223FjfT0MlZvqfL/tcaJ0TTPxY/5+ZHe2bvstKmE15++eUoyxKbNm3CqlWr/P6Xv/zl+Nd//ddFXFkmk8msLO666y7cfffdWcDaTbITa6niYoQyEK2EEavgBCs3jdBNIHSuK4KPEWppit3DTqlGbGq6OKIeLCd6he6sFgFrLr+3jYwNjrxj8phhubw7sFvLkG6stighgEa0QrsLC+H+RKgC4KOEAFr7sPxUwn1RBcksa970pjfhiiuuwObNm3HSSSehLONv/p761Kcu0soyC2V7v4ttVYltlcC2PrC978SqWLRyOMHKfAdiIoRaM2hIvMqINcLECa0Ly0X12sSoUMjSzH6iYVMib97EzVQ+uy84jhORQh+r6dMqUUCigO3CsoXuhSAbJyQ/bTHs1Yp6sWwflrKF7rVzYXFtxanGUdUmRmk/k9A4sQp07fpMEXyz9qZfK3ZexccjcmLi0hdBMsub2267Dbfeeiue+MQnRvuPO+443H///Yu0qkwmk8lkFkYWsZYqUjRuLBEIWEUSI5QiiQ0mTqxwymD4bbsrcQ+FH39biovTEdxmjkRCFQ/fN/ogYWeXOcBco4QDhyIE7isMClqRgKUj8SqMEoZC1tA+LC9qZSfWXiccnzmOY+1jvPSlLwUAXHjhhX6f6+bJxe7Lk0d7HTxWSeysXQ+WcR+ZeGB8W7Z5bc2MShOcZFRrc79KM3pao2Yzr8/hRSsXRwTBjcRIe7H8fZj9feWQHx7ufqlg5MQg7/higYIAySZG6LqwZBCLFDDCnBOFJITv+mHbh+XcWLXrwbKSVLMeaaOB7lFKCCvg+edF9tVgDbbnUxoBK3leDGhigI3kpUDNvsxeRYOgx9RFNq7j7El27doVObAcW7ZsQTeJKWUymUwms9TJItZSRcpGwCpkJGChMFFCX+QeClh2CqEuzHlX5B52YKUCFodbWO5O49UEBhjiyhp4vBZHViNq2YMk4hUBUR+WP8zABMKkC2vgfBMljO5jr2+cWNqKV8azYBxZWcTa27RFoXbnWPsa991332IvITNmtlUFdtWEnnUZjSqZJlBTvs6MShuxq7JRw0pr9K2I5QJzwwrOpZWyhpWSuwmIDg4eN17ToGNJW1eTsN+uCAiAYWcUSpQkUQqBUghIahxOZAWskoS5DQl/nZlOyLYu3olkKliHBJHw0w9L7qCAjISoVLRycUINBREcT0D4yYYE8m60EM3mRcmy8eKw0n5WnHXWWfjEJz6Bd7/73QDMlxdaa/zFX/wFnvnMZy7y6jKZTGZpwhrQY/o452ba5E6s8ZBFrCUKBd1XHDqyJCVRwsB5FQpYYQ9WGiEceDAEQhFF8cFom+vah7mwuDlFy238WpD2dgXn3cFsN9bA+uYQJQQaMcoRiVZDOq/CrixJujVKKOz+3IeVWYoceeSRi72EzJh5tC+woyb0VDOJcLbP1E7scg6l2kbuKitgVVC+VN04qZyLy+AEJwECUdOKFUYJQ9gYwKL9AgQdCFjumOl9hS2BB4COE7C8C6vp9jLRPDJuWEEotfAxvbAPS3HctQXAlLkzvAvLOL46kFxE63JrMz41BWF/hdItX1i4jqyU0HnV9lplMnuCv/iLv8Bv/uZv4pvf/Cb6/T7e9ra34Qc/+AEeffRRfPWrX13s5WUymcyK4a677sK6desWexnLnixiLVWkbCYR+qmEQXm7dG6sWMhyDqxUwOLEpjRs+h8S8SiOILafH8osv5vPJUExam1tPVitj5NECV0fVhgldIQuK2AwSijh3FbcHiV090NzPrMXGWch+z76x/fTn/4UGzduxA9/+EMQEZ785CfjzW9+M4455pjFXlpmATzaNzHCGQWoOWjnDDOpz7ivmomDCoyKFRS0jdsp68QSA0KLi+m5WndBZOOG8Q+G0IHkjpH+s3ICVurocg4laT1fAmRdWEacMk4sFyd0sUTrxBKMjogdXq4PywlYmrQvaDf3bWKEzokVCmht7q2mHczIWMKLchI0xMEGNOIVM8y0x6G3zOwpNBP0mGzmCznOddddh7/4i7/AQw89hBNPPBEbN27Eb/zGbwy9fa/Xw9VXX41PfepT2Lx5M574xCfiHe94RxQNH8UJJ5yA733ve7j++ushpcSuXbvwkpe8BJdccgkOO+ywea8/s3T49QOeFV2ebRrhWhFf3o86yfVxV+bBMv6oONscionkBuuCiYS7O8Sir+IDpD/zVPJvsUgeb7KMva+Tq+LL5WTys65ojkdlfDC5On6dRHf05YFpg0U6zbAz8jKK/JE9kwnJ/yKWKskkQhZ282IWQYd9WMEkQi0piQO6rEX8EJHDqc25Fbqb0HJ+jszFhTWgPyURyLAPqy1KGB5gVJQQCAWtJD6YuLDaOq2EF7V0a5Qw7MPKnViLQO7EGsmtt96KF77whfi1X/s1nHnmmWBm3HnnnTjxxBPxxS9+Eeecc85iLzEzT7b14ScPqiDX5GKDDEY0QdDermITHRwUrtgXmDNpaNaQVpAJy9xDAStkmCTTFrkKBSzyx42nH5pSd1PkXngBi1DaAb1SwK7DurIEILURuZid48nE9lzXl7KF7mE00FS6S+PC4hKld1k13V7OceUnGbKGJjeh0Di+CpRoJhbG4lz4+jkBq2btXW+ZvQePsROL53mcz372s7jssstw3XXX4cwzz8RHP/pRPPe5z8Xdd9+NJz3pSa33ednLXoZf/OIX+NjHPoZjjz0WDz/8MOq6ntfjHnrooXjXu941r/tkMplMJrMUySLWUiWcROh6sArRlLkHBe4Q8JMIG1cWov6rkLao3lAX1kI1gXm4sIY6soJoYdOHxe3TCO3tI8NZS5QwFLDcvrYuLEfYiyWShZakBqKErg8rk1mKvP3tb8fll1+O9773vQP7/+RP/iSLWMuQrT3zfuOmDoZv15y8EQsykcOaGX2tMcMV+lBQUKhRQ9FgQ5OJEjbtWERGmJE0KNAME7CceNN2GydgFfb7/SppiXJCkCTTgVWSQCEIhRWzXKTQ/oiAAFAK8hMJNcIurGaduqWNyrmxzH8SDFMC37jIVCJkyciJ5SYbNn1YbRMOG1HMRTf7uRlrRXHttdfita99LV73utcBADZu3Ihbb70V119/Pd7znvcM3P5f//Vfcccdd+Dee+/FgQceCAA46qij5vWYH//4x7FmzRr87u/+brT/H/7hHzA1NYULLrhgYU8mk8lk9mF0TdBjmiCsa3Oc3Ik1HrKItUicU/weqCxARQEqC6Aw51EUpsC9kIETi+IOrGgaIbwTa6A/KvhHlwpRkTA0RLwCEH8iCkSlVji5PdpdWF4LGlLsPtQF1nYbuznByl8diVnDo4SpC6sRs3RrlLAk5TfntupQjQ4pdEjhRcf855AFZ/YGNOzv1AKPta/xwx/+EH//938/sP/CCy/Exo0b9/6CMrPy1TNOQn97geldJXZMd/HYTBc/n1qFTVMFHpgibIHyLibnSNLsRC2KHFnGrWWcWxUr9FChjwqKlJ3TV/lIHAWl5s4RJYLHCfHCzIiG6zbxyu0XQNTBlSKtA0uAIG2EsBDke7DM80P09QGBzM8EG91zfVguJqmhB4QsgdhBpbx4pVEjdr2EApWGsq+WaIQwLltL792+e4/44tDXKrPn2RPF7tu3b4/2d7vdgcl//X4f3/rWt/D2t7892n/uuefizjvvbD3+F77wBZx22ml4//vfj09+8pNYvXo1XvjCF+Ld7343Jicn57TG9773vfjIRz4ysP/ggw/GG97whixiZTKZzF4id2KNh91MJ2cWCknpN4SbE7D8+ZYerHAaYRAjbHVOtYlAqWjlhLAWh9bI47Qx106ilttEUxJTQY2au8Qi22AesU3MSqOEABrBCrE7ywtYSG4XRAldoXtJKnJhZTJLmYMOOgjf/e53B/Z/97vfxcEHH7z3F5SZlWpKYGa68ALWtn4HO2uBvjYClSs4lwQUwvRDFdah5EQtwMYItZlAWLFGDzV61EOfZlChh4p6UFSjprq1qNyIQoPdVW3wqK1FOdDW4+QK5V2s0T0uAO/+cs/VOa/8MZLDuufNzE2BvXVVMVRrx5V7nPDUrY9th5ZZkzC9VyQiMUtAorBxxCLo8tJ2DQ45pm91M0uLI444Avvtt5/f2lxVW7ZsgVIKhxxySLT/kEMOwebNm1uPe++99+IrX/kKvv/97+Mf//EfsXHjRnzuc5+b1zf4999/P9avXz+w/8gjj8SmTZvmfJxMJpPJZJYC2Ym1SDgXFiIXVui+ss6rIujBcqJVEiP0LqxAiGqdQggMCFP+WBR0YY1gPtFCCgWt1IWF+HzcfxWso+1y9CAYetCwD8tdDsWo5nLswgpxvVbOhSVttLCt0L3TEsXJ7GVysftIXv/61+MNb3gD7r33XjzjGc8AEeErX/kK3ve+9+GKK65Y7OVlWqhnJHZNd7CjZwSsR/sldtQCfW3+ikr7BieIvGjlxC1BxnUFoBFyrAurQm18WNS30/ZsLBECoBKCFZxMFHdXtRe2OxcWJ/tDmDkSp1z/lRGx1ND7eQFLUNR9Ff6YYx4Ussy6AidW4MHSgZAFwEwoDB6PiEDsIpC2Ap7cayTBpAcELOfC6sB0arl4oYsxSjj32OA6M3uXPVHs/vOf/zz6dj11YYVQ8jsaMw/s88fXGkSE//N//g/2228/ACaS+L//9//Ghz/84Tm5sQ4++GB873vfG4gh/ud//ice97jHzXr/TCaTyWSWElnEWiyc80pIkBBewPI9WMJ2YQkRCFntMUKmRogaJkIRN0LRgMsp6tBq78xy91sIA7GstNg9EKjaOroigcvdLciNUSp0IXZjucttUcKU0IUVOrPc7b2QlRS6l1RnJ9ZSIBe7j+RP//RPsXbtWnzgAx/AlVdeCQA4/PDDcdVVV+HSSy9d5NVl2piZKTHV72BHVWJrv8SjfYldNaFnNfNQvHKfgSU1ESdNJkKoYSYSVraHqaI+ejTtvU+Aic1JlBCQ0NCQcBG7pgcrpE3A8v1RPLwjC4DtyIKVkxTqVEhDM5nQvG8bSc24sYx85J67tj9HwkihW2kYJdRgKKq9GDW4JgnitkJ2E7V0OElv4P4sINnNOJTB/RnkhMWW1zGz92HQvAvZRx0LANatWzdrROTxj388pJQDrquHH354wJ3lOOyww/CEJzzBC1gA8OQnPxnMjAceeADHHXfcrGv8vd/7PVx66aVYu3YtzjrrLADAHXfcgTe/+c34vd/7vVnvn1lanHFg01+5SsZiaZfiKXjpNMIDRHz71RR/FDxQxPef7zTCx3Xj99eObH4OSBH/TJCz9DYoTaMvJ7+n1clb+6oyPv5kJ76BlPH15ar4eLLbPDlKRh1SN5kuODHLNMJkNCOtTsTn9ParV8dX/8prkdn7KAWo2f4RzONYQO7EGhdZxFokSArrwJKmB0sIEyN0biybmdDOgWUFLF3EMULvpooieHP4xcwJRG0TCUeIYXN+frM4YgZcWqmQhVBQ4yQiyf627XHJ2I3l+rBapxImUcEUSUmM0Duw4kJ3STo7sTJLHiLC5Zdfjssvvxw7duwAAKxdu3aRV5UZRb8qsKsq8VhV4NFK4tE+YUYBfW3EI0mNwAOY82zfUzWMcFKBzYQ+brqwTBtWDzV6A49pHEXJL+gtRe4h0XcT7OrO238IpJFEJy7VUCggTadX6HIiU+RuE/XWiUXRUTQP7+TSNkroYopNGbtxYzHryIkVHpmhfZSQETixgi8tnAgoIFBYAcuNuTdxRvY/l0OxMbPy6HQ6OPXUU3H77bfjxS9+sd9/++2347zzzmu9z5lnnol/+Id/wM6dO7FmzRoAwI9+9CMIIfDEJz5xTo97zTXX4P7778eznvUsFIWdvKk1XvWqV2HDhg27+awymUwmM1dyJ9Z4yCLWYiGlEbLCHiwbJfQ9WIUABPkooROwfIyQQkcWRsfu7L7I4STifWGvFjBGF1ZS7h5pRYGA1RopHOXKsgIXbDQwHcSYurFmjxLGLizho4M6ihO6UncXJez4KYXZibXo5DjhnMni1fJgul9gZ1XgsUpiW5+wtW8EG9Mv1cQJw5JzkBW40LxnaoafhudcWBVPRw4jd1+J0riV7L8BX+ju3qvZOak4Eo60FcucgBVOR3QTCsOOq+Y6jRrKr0XYQnZ3OxfvMxHJuO+rKa6Py7oFNZeV7dxyj2Hik3Gc0NGU2TfEUUJhJxGWg5FESEhIlCQhyUxINE44DQpei+zEWnz0kPjpQo81H97ylrfgla98JU477TScccYZuOGGG7Bp0yZcdNFFAIArr7wSDz74ID7xiU8AAF7xilfg3e9+N17zmtfgXe96F7Zs2YI//uM/xoUXXjjnYvdOp4PPfvazePe7343//M//xOTkJE466SQceeSR81t8JpPJZDJLgCxi7SWevfbVQYm7cWG58yxtD1YhbVTQilkidF01X7eHHVZhjHCU0BTGBBvnFsXxvTExmwsrvjEGe7rcljjEQjHL3ac9Shh/001O5EIjbInkdBhO5CqFgrBF7q7Q3UUJhd1kjhMuPlnEGuCUU07Bl770JRxwwAE4+eSTh/auAMC3v/3tvbiyTBv/74ST0ZspMD3TwXTfuLCmlcSMIvS1iQQCQVwQg3GPsEjcTSPsa42+dWGF0b1hiJZYXWh0GtZdpQkQwdqU9zCxjSvK6LgqWYuAieQVKJpuqtBpFj1P2KigKa1nNG4sbSOUTliroU2UEBoKtRefCAJEpqhdcvMrEdu1O+HLiF+NG6tNBDNOLDNJsSQBScb9JuHEN/N8eF95c1nG7IlOrLny8pe/HI888giuvvpqPPTQQ3jKU56CW265xQtKDz30UFS2vmbNGtx+++1405vehNNOOw2Pe9zj8LKXvQzXXHPNvNd6/PHH4/jjj5/3/TKZTCaTWUpkEWsvEQlYUjZF7tLFB02Ru4sSOtEq7r+ywlNY5k6JQBXYkQamFCZCVioIDXNe7TEXVnTjYH3BZRCb5+0OGLnNGheWu5xOJqTAdQXAu64ANKdtEwudKyuIH5aiRkkKJdXokDtvxSwbMcxklhrnnXeeLxg+77zzRopYmcVn+/YJzPRLzNQFpusCU7XEzlpgRhsRq9bD42i+m8oKOGwFLNeFNY0KPTKTCBkmQkec9HRYiUnAXBd2P43quCI0ui8ReSFL2ftVVgQSNjLojusm/wFh/5Y5LeyptEJW+rQZRqTrK0aVaHLGicV+KqHr3TJClvIRwrCQXdj/GKZDywlfNdVRd1j0mgf7BAgSAiUJlMKIJJKMoEgEFPYPblwOoMzy5eKLL8bFF1/cet2NN944jj36yQABAABJREFUsO9Xf/VXcfvtty/48ZRSuPHGG/GlL30JDz/8MLSO/8H8v//3/xZ87Ewmk9lXYU1gPZ7fm91xcifWeMgi1t4iFbCc2yoocjeXKXZg2VFMXsiSYY8VxaJOQFqG7oWuFncTDznGQnqxZjE2DR6fR4hk4dqS6GMqaIUfcCgQs8J9TqhKo4QOmZx3IpeLEjoBqyQFYcvcnXiVBawlQnZiDfDOd77Tn7/qqqsWbyGZObF11yRmVIGeEphREjNaYEoJ48RSRrRxb1Vhv5ITShxuWp+ybqUe15ihaRMjRC/ocTJlsrEY4+QYERyv6bgKpxMKIi+embdqK9QEjixlxaMKfUiUUKi96yl0YZEvVhc2mCd8GXrbRD/NjFoDlQZ6yk6StYIXQL4nS0Gjor6PEro+LOcJa6rYS7smI3yxdWJV6A3GLgMYZlIhcePEKgRZ5xpFfq0x9cNmdpM9Uey+lHnzm9+MG2+8Ec9//vPxlKc8JX+ZkclkMotE7sQaD1nE2lsIMgKWCKODwotZ3n1lha10CiEIjYBFwekQFxaAQYdVFNWj4eLV7hI4r1rdV0mRe7rGyJUVTk0UsM6s1JGF5kECoaqJDsKecmuMUCRqRdhtJaFRiqYLq3FiKXS8qFVbQSzHCTNLm6OPPhp33XXXwEj1bdu24ZRTTsG99967SCvLOLbMTKBmQk8LVJowowR2KVPmXrGJE5pyc7IF6FYwCo6hEUbtjAvLVLjPoI/pKApHJMCsvZgljHRko3EyjhPCvN060cqJWamQxWiihWAjVFXoo6I+atQouIAm9r1aDueEkpDeheUELLKnoZjlnGZ9zZixIlYhCKUQEGREN2UFKefCco4qJzyZCvsSJXcaAc7OOQyjhE7Ecvcxt4udWQIC0rqwShG7rhjcnN9HBPLM8uEzn/kM/v7v/x7Pe97zFnspmQXw6wc8K7ocTiRcK9LphPFHu/2oE12ebRphZxaBM51GuLaI39C6ycS/cCLhbNMIU9Lpgyr5NTudRpgMEERHxjdYPRm/Z3cn4/UkLw1EJxgw0kmmNnbjaYQD0wfTyxPxn5OYjKdGYjK+PpPJjCaLWHsLYQUsGyPksNQ97MHyo5eoXcgSQadV5Khq/6ETdl75+4YOrlAwSiN9wIKjhIMLGdGVlTxGOpXQnQ8dWU64coXuAPz58HJY4k5BaTuQilra7wNcrLApfTddWNoLWN6NBWWdWDlOuCRgGt9f2nEWxS0Rfvazn0GpwUhUr9fDAw88sAgryqQ80i+hmFBpoGZCXxOmasK0MrE55UYPggcKwjkQSUw/lHFiGRGrhxnahT6mADSxQXvB3k8HcUIKTo3YRLacPbiLJ3RneZHL9V5RbcrkMQWJEkzai1nmWHIgSkggSBK+Ryp8DPdQGkDNjL7SmNKVmQiopRnIQWSL3dk4wVChdt1WXIOtAEUQkFygRAeSi0hYU1Rb4auC4sqIV4TIWRX2YonAhdURFP1E0GwcY4rb6uQze5vFLHZfDDqdDo499tjFXkYmk8lkMmMhi1h7CT+J0BW5+/MEltI7sbwLy08cpNYYoZ8sKAYdWFFZeyJQDTiywuv3xPOeJd4Vxh4j/SEV1pLJiXDilROz/INhQNiyh4unEobf/iffDMlE5JLWZVV691XjxnLXZQFraUCjetcWcKx9hS984Qv+/K233or99tvPX1ZK4Utf+hLWr1+/GEvLJDzal1C208pEAQm7amBGAT3X/SSMkBW6ksKCdx+jY0BpRsUKFVXoYwoVT0GgNG4rKiDsSArXkQWYUndqLXZn6/oa/QND+O6nZlJhjcpMQ6QKykb3mLQVjgDYOJ5zYblYnit1b4sTKm22nlaYRoXC9ntJJjCTjwXWMGKUixGm0UmJ0q6j+ebcdWjVVvTSqEwxPZcAGfFrsNidbIcXUCaOAMXGrcYw7rHM4rLS4oRXXHEF/uqv/gof+tCHcpQwk8lk5ohSBDWm90ylzHHm2ol11VVX4V3vele075BDDsHmzZsBmN/J3vWud+GGG27A1q1bcfrpp+PDH/4wTjzxxLGsd6mTRaw9yLPXXADqlEDZAXU7phPLxwebHiyEPViEphfLubCkLXS3otaAYyqM5AGtAlY4kTAStEJoyPk5EpW3J+LVKEGA0/UMc4kJBjuVwjux7F28C4uRTiMUrZseEK9iYUtbd5U23+qjEbNckbuAxjnr/3v+L1Qms5d50YteBAAgIlxwwQXRdWVZ4qijjsIHPvCBRVhZBgC+evpT8T/3r8OPtu6PH+10heXknVTOe1UIQsnGZSSdG4kb8UrZy33NtuycsUvVmEHflLnzcA+Qc2WFBefOETVKtNIjsnHpNa5I3cXxUpyI5FxYThQKf3/0rwk3M/4KEuiwtH4uI165KKWChiLlXVhtPij3bAETJRR2DqF3a5EAcVNG75Aofbywy5MoUZgOr5aX687HfX7o65TJ7Gm+8pWv4Mtf/jL+5V/+BSeeeCLKMo5Cff7z+e9nJpPJ7A3m04l14okn4t/+7d/8ZSmb35/e//7349prr8WNN96I448/Htdccw3OOecc3HPPPVi7du3Y173UyB2jexAzgbAAFdILWFGRexEUuVsHVhwjpMiV1eaecjHCgThgImC1ubCGilmW+aSp2gSs1i6sEaSCGwiDUwkF4kihO/EuLHgxSwptkpmiiQUOE64a95VGM6GQfR+WsKKVtB9wnKiVWWLwmLd5ct1112H9+vWYmJjAqaeeiv/4j/8Yefs77rgDp556KiYmJnD00UfjIx/5yPwfdA5oraG1xpOe9CQ/mcptvV4P99xzD37nd35njzx2ZnZ6OyR29TuY0QI1Eypt4oRuc8YdSWbCnevEcm/RTYG76czqK9MRtUvVmOI+etQLOp3ML0DOdQU0PVhOwGqErEbAMmJS/EPBT0O0m7IdVO5y2ncVRhhD1xMFopYXroABQcg5mZQ2z9U5miQROlSgJOkjlm4io2nAqppSdyvkke/+kv5xHcaBVQfrc0HHcJ3m9SrRRQeT6GICJaRdc3MsDeT44BLExQnHtS119t9/f7z4xS/G2Wefjcc//vHYb7/9oi2TyWQyS4+iKHDooYf67aCDDgJgvsjbuHEj3vGOd+AlL3kJnvKUp+Cmm27C1NQUPv3pTy/yqvcO2Ym1J5Gy2YQAF3JokXvUg+VEHOfCGtJl5VxVYcxumIAVxhD9vhbn1dhrgFIxy1kKgrWGawmnD7YJcz4v5orbw0mELS6s9HwoZg3tw7IurLQPa76FlJmVxWc/+1lcdtlluO6663DmmWfiox/9KJ773Ofi7rvvxpOe9KSB299333143vOeh9e//vX41Kc+ha9+9au4+OKLcdBBB+GlL33pHlnjfffdt0eOm9k9pnZ1sKsqMKOEF62cKKW50VMlAV1JAx+aGTa6x6YjakZpTOkaO7mHGZrGNE1BWVEmFWPcPgCBkEV+OqDvwEr7t2Dekp1YxYEjS4FBRNFEQ3f88PFSZ5O5jZGMiqAPKxWygMahZl4XQpea58RsBTXWqFChtr1WmmukUPAcAVNCr6HBpKPJiaJF/HOTDUvuostdI6IJwrh/jGbGj2aCHtMvPOM6zp7k4x//+GIvIZPJZDLz5Mc//jEOP/xwdLtdnH766diwYQOOPvpo3Hfffdi8eTPOPfdcf9tut4uzzz4bd955J974xjcu4qr3DlnE2pNIYcrcXQ+WPz9Y5B65rtpcWGGx+yjn1DABK40RJuLR7jDUhZWKV+H5tiijc1q1CnPBVEIBkIg/xYUOrCZCiMEYIeIo4ag+rDLovGqErCZKmHuwMiHXXnstXvva1+J1r3sdAGDjxo249dZbcf311+M973nPwO0/8pGP4ElPehI2btwIAHjyk5+Mb37zm/jLv/zLPSZiAcCuXbtwxx13YNOmTej3+9F1l1566R573Mxwdk53MVUX6FkHlhOvnFCjtP2eQxCIGcy2M0s3Apa7T2U7oqa4j520EzO007Y7GSdWKGCZaJ257NxXBRe+4LzNfZVGC52A5bqv3G0Ep04sGQlowyKFAHyhu6Bk6mIgXJnz1oklCB2IKEaomVH5iYSu16rpwgpdYcTuvLneFM8raPcFByQ4cN66+xWBgNVFiZKEj3mG5GmEmUxmPoyaRgjEEwnTaYQHJNMK02mEB8v4cvpVQkGjL6fTCFeVye/RIzI+MvndXen44Ok0wn4dX+6p1A0cX04TEmsm4kE2ZRlfP7F/vJ5idfLaTDaX5ep4yiNNxJHc2aBkmmE6jZC68eXiV147r+Nnlg/bt2+PLne7XXS7g9MpTz/9dHziE5/A8ccfj1/84he45ppr8IxnPAM/+MEPfC/WIYccEt3nkEMOwf3337/nFr+EyCLWniRwYXkBq4idWF6oKhoByzXZNi4sit1TLS6sWQWsYKrhQJ9W6sJqE5jm+kt44rwacGG1Qe1RydZNOCeWuUz2QRoXFiLnlY8StnRhRR1YSdG7L3RP+rDCKKHIccIlhzPrjetYc6Xf7+Nb3/oW3v72t0f7zz33XNx5552t9/na174WfYMCAM9+9rPxsY99DFVVDXSWjIPvfOc7eN7znoepqSns2rULBx54ILZs2YJVq1bh4IMPziLWIrG918EuJTGjGhHLiVfhu4wk4zpSRrkCUyN4GdGLUWmNPitM0RR20Tb0eOfA44VuIsDFCYXteDLnCwjjghrxL8ELSlbAUtC2k6oRsDhxM7n5g8NwUUKyz9W8p5N/PCdeuVHrREaGk5KgmMBK+1ijKXVXkYgHxM4zwb5W3nSKBX1Ybu3RJMfgGASBkk2gsEMFCmGFN3KvixGwlkPcbKWxwMT40GMtddavXz+y0P3ee+/di6vJZDKZ5YFSgJrPB4JZjgUARxxxRLT/ne98J6666qqB2z/3uc/150866SScccYZOOaYY3DTTTfh6U9/OoAWlzzzihnekUWsMXJu5/dBnY7pwuqUoLIMphGKyH3V6rySsfOqKXMPeq0wu4DlXVahgOWubxOyMOjIGnBoDRGynGDQ5rzyYkIiag19XL92I1JxeL2w+60LKy5yH3Rh+VOY/WEfVhglBAb7sMJC91LUg+KVO5+bTlYEc/nGZMuWLVBKtX4j4r4tSdm8eXPr7eu6xpYtW3DYYYeNYfUxl19+OV7wghfg+uuvx/7774+vf/3rKMsSf/AHf4A3v/nNY3+8TDvffvXT0N80g+0PdPCLR9fi4akSu2qJGQ3U3IhXRqAyRe4FBd9wa0Db92TfE2XdWLVmTKPCNE1hirei0lMQVEKSmQiYClgOJ+gUNkjoCt3Dt+i2D+vOhaWs+ONumYpfTa9UKqCJ6DzBdEoVbjKh3dyPICdgKfuLmgR80X1fm58H2k5kNP+ZPizFRsSSVPrn27YG8/Jq1BRHD93tQzdXwQU6KNFFgS5JlKKZqJjJLCUuu+yy6HJVVfjOd76Df/3Xf8Uf//EfL86iMplMZgXy85//PCp2b3NhtbF69WqcdNJJ+PGPf+wHNm3evDn6vPDwww8PfLbYV8ki1hihoogFrE4JLgugLMBSmiJ3t7kyd+vI0taJBStg6YKsEyt0YdnfjGcRsNJJhJyIYAOCV/Qkhjy5EQJW8Lkljha660Y4sNpcYdF6ie3zYYQCV9iPFbmwvAMrjBU2vVlpfHAYzomVxaplBhMGFdjdOBbm/o0JMP9vRNpu37Z/XHz3u9/FRz/6UUgpIaVEr9fD0Ucfjfe///244IIL8JKXvGSPPG4mpn6oh5lfSuzcOYGd/Q6mlERPm44e50LyApXtdwLI27JMeTswoxi1NlMIXYxuRteo7BQ+ggCR8AKWoAISjYjjRCXX61RAouROVOg+V5eJmwrozofyVypo+cdm4Z1fkmVQ/W5uL6wLi+x552gyjjP7Hi8EEIhdbs0KGhX1oaiJEQoyR3evR4muj1E6FClU1EOFHhg6Eq3c2t2pNFXuKEmiEGSdcvY7FzLGYSc2ZpYWjPF1YvG8fLuLw7AvKT784Q/jm9/85l5eTSaTyaxc1q1bN+fphCG9Xg8//OEP8Ru/8RtYv349Dj30UNx+++04+eSTAZhUyB133IH3ve99417ykiSLWGOEOp1BAUtKsJTgUpoIYSH8JEIXITSClXNjIXZjhaXuiAWfkQJW0KEVubNaftea9fe4WQSsyIU1QsAaqh+F4pV1i4XPJ4oPhu4rYMCF5Z1XxJBpnLDliaSl7u68tD1YYfwwswzYAxmRuXxj8vjHPx5SygHX1ahvRA499NDW2xdFgcc97nG7ufh2yrL0AtkhhxyCTZs24clPfjL2228/bNq0aY88ZmaQqc2E7dsmsHVqAo/1jQvLxQgFNRFBwJyXMO+Ntd1XayNg9ZTGjNKo2UTomBk91FBUo0bjPCIIL2BFEwjZnBaQIBYoUKBEgWJE3C9EJ//YQgHK4aN7LCBIRAKW+0+yRGE9YGmRvBOnpFP2gugkoYlbCns9M2yhe216raJYoISkEoUVrySbR3Xr1sEkwxq9kc/dFcIXEChJoBQCpSDvxBJkRT1uxLXM0mGcUyOX89dcz33uc3HllVfm4vdMJpNZYrz1rW/FC17wAj9Z/JprrsH27dtxwQUXgIhw2WWXYcOGDTjuuONw3HHHYcOGDVi1ahVe8YpXLPbS9wpZxBonbQJWWRgBqxDQhZlC6MUr14vltyECFtFAX9V8BKy0T2so8/1FOxSwki6sUExo04DC7qu4B8v0vDAQFbmHzit3noQecGG5QvfQhdUWJQz3hTjRyhXAh+XtCgTFAiWZb+ZzsfvKYC7fmHQ6HZx66qm4/fbb8eIXv9jvv/3223Heeee13ueMM87AF7/4xWjfbbfdhtNOO22P9GEBwMknn4xvfvObOP744/HMZz4Tf/Znf4YtW7bgk5/8JE466aQ98piZQbY9sgpbd03i0V4Xj1UFppTAjDZdV+HbcNSnZKNyANCzAtaUUpjSFdj2P2kwKlSo0AdDm0JyaEgqvXOosOKNE6+ckEO2B6vxRhkRpq0TKxWvUlwU0V+2Apa5rhGwyAtIjSBESRzPuLAIUgCsyUxhBKNiDQmC0kYlIvu4bn19K0aFEwbdNEGJEl2eNE4sLrzQ5iYTVuih5h6Imi6sMH7oHWxsJLBCEEphO8uEWa97Ck1dfCaz9Pjc5z6HAw88cLGXseI548Bzostpkfvj5erocljenha3r04i42tFfHlilu8o0uEU+3dimbYrR7//p+XtIbtb5N5PLneStUwmxe2T3fjdd3JNfLmzLh4wIrrxZRkUu4tVSbF72mBfyJGXafVkfH2dTMudY6Qss3fRmqD1fD8gDz8WADztaU+DlBKXXHIJLrnkkqG3f+CBB/D7v//72LJlCw466CA8/elPx9e//nUceeSRAIC3ve1tmJ6exsUXX4ytW7fi9NNPx2233Ya1a9eOZb1LnSxijREqCqAofKF7JGCVxn0FSdBSGMGpsKc+TohWB1bch+UeLBGwWgStAbcWgmOk++fx73Og/8ofOBa1otuGx0/X4va1OMei6KC9bpQLS1hhKyxzb9xYo78vdd1YfgohGCXV9nLzhHX+WLJ0WcS23re85S145StfidNOOw1nnHEGbrjhBmzatAkXXXQRAODKK6/Egw8+iE984hMAgIsuuggf+tCH8Ja3vAWvf/3r8bWvfQ0f+9jH8H//7/8d0xMYZMOGDdixYwcA4N3vfjcuuOAC/OEf/iGOPfbY/E38XmTLztXY2utgW1Vgey0wowh9TV6wiorB0QhZ0u6rmdHTGlO6whR6XnxxU/Uq6vsYnAvoOQGr5I6ND5YoUXrhiqyIBMRx1mFCFtD0YTnSGKHb15xPPjBAWAdY08MlAwHM9GMFET17P8Wm88q8W7svKGzk0PZzKWomEzJr7wJzMUIjYEkvoAEAk7Yuth5qzIBY+himIyqFh0Bpu7A61oXl1inIxMxMd1fry5dZRJgJPK444bgi7HuQk08+Ofp3zczYvHkzfvnLX+K6665bxJVlMpnMyuKuu+6aU5zwM5/5zMjriQhXXXXV0IqTfZ0sYo2TsjT9V34LBCwpogmEYXQw7b8KHVXDXFQDQpQXgZL7iPi+rb9rJfvm+vvYUBdWej0wKGSljzvUVcZRHxaJtAdr0IUlhfZRQhk4q4aRTiZ0+0yckKORvVnAWtrQkL+LCz3WfHj5y1+ORx55BFdffTUeeughPOUpT8Ett9zivzF56KGHosje+vXrccstt+Dyyy/Hhz/8YRx++OH467/+a7z0pS8dzxNo4bTTTvPnDzroINxyyy177LEyw/nljHFg7agFHqsEFMNvguBSc2Bb1F6IRuDSDFQamNEKU+hhJ22Htu9RrsNJofYROtf/JFF4B5abqGf2NlMI3VuyN3/Zc6GQ5acOcvwPhEDgoBMrFq+El6faXFjOBVZAGBcTxWPfiQApjCAE+7ooaAgmMEv7PJvb185NZbvBmuPYx+ICJZfegRautbYl8LXuQVAZuLFkJGCRlcQkGRdW6Tqx7IRC85rA95tllhYrLU7oSoAdQggcdNBB+M3f/E386q/+6uIsKpPJZDKZBZJFrN3gOQe+DnBl7oUtcC9aHFjSObHgBSwI+DL3AQHLTydMHFUpidOKvUVpUMAamAK4QAY+2AfuqwFRKxAU2P0inzq/IiGuiRKGzqvIgWWfIpIid/NhgQdcWOEkwlHdVqFLywlXJk4YCFgsAFKt98lkAODiiy/GxRdf3HrdjTfeOLDv7LPPxre//e09vKqGd73rXfiDP/gDHHPMMXvtMTPAV09/Kh59aBUeemwNHpiaxMM9iV21wC5F2JUkCsL+JG3FrFqzd/ZoZvSVRp9rTNM0pqiZnukEG+/CIicTyaaInI0XqYRElwrrHmoifMzWzZSIVKMcWS56mMYI3XXp9D8fWLQuLOfgcmJa+FqIwN3k1qhtfDJ1fUXrty4sbXuxzOMKE6e0r0AqtmkwGBo1mzhhAUCT8GX45vnYYnc2opu0kxSdgOVcY+Z4Zv2p4JfJ7G3e+c53zul2733ve3HRRRdh//3337MLymQymUxmN5hbe2umnVDAKiS4kCYDbUcUaT+FkAYELCNatRW4Bx1YqXsqjdjZfUNjhW2kItI8GFrmjmb/0OuStTqBzgt1oWOszX0WWGyc+8qcb1xY/tTeZpT7yiHnYLcRcOXv2l/OAtYShce87WPcfPPNOP744/H0pz8dH/rQh/DLX/5ysZe0Iph5rMBUr8SMklBMdjMF7W1bpe0EQs22wN2cziiN6boRmApIdLHKx+NcYXmJCRsf7KLEhLmeOyhgCtSd60nSoOjkCPe2FbaH14Wn6flmn3FAuWL5NnErvL8XrJhRadMD1lemuF2AzLOlAkQAg62TjW3JvYpcWKYTzIhXzk3F3rOmvSjmRK/4dZD2VAT7mvNshUZt1wo0X7jkQveli+bxbvsKGzZswKOPPrrYy8hkMpklgVI01g0wnVgnnHACPvzhDy/ys1veZBFrd7DdV6bJ1WxcNJsr8/DF7YEDK+7ACgQdGhIhTJ1UiWAVurAihrm4MHz/vONYgeMqdGCl/VjRepItnErYPC+25e4c3LYlTggnZJnTkPlMFhTgyHnVfpssXmWWL9/73vfwve99D7/1W7+Fa6+9Fk94whPwvOc9D5/+9KcxNTW12MvbZ9m+YwI7ex3MKIlKEyptJg0qK4CEcUK39a1o07cTCGeUxlRtTis2wovkAiV3UHI37npCYU9LX17upvFJOwNQkhGx3DQ9oHExOdrEq3R6YLhvlNBl3FZNBxXx8F8/3DRCghEInJjX10bAk0TokERJTRSw0mxfV23nElaxA4u6USeXBnvnlbL/abt36Lp8/ND8514rxUZcC9cvKP+ClVl+ZNdgJpPJ7Fnuuusu3H333SNL3TOzk+OEuwGJULyyLix32XZgaSlGOLCC2CDBTxVMHUupODVQhm4FrMH96YKT01HPjeP7hy6sZiHJ/lmcWKl45d1YAsOjhC3PH2gcWAC8CyuNEvrr0V7q7p1VQ4QuEx805yXiSYWZJco4HVT76B/3iSeeiA0bNmDDhg346le/ik9/+tO47LLLcNFFF2H79u2zHyAzb3bMdLGrLoyI5Z1Y5AUrh3N0OEGmpzVmtBNiDAzYUnPjburwBBQpaHaV5hrS/mjXpCFY+BLzwnZghS4sIkAwtU4cDN92W821QVRutimGkgt/QOJGCGqcUQxmBglzXCcEKTavh2LzAVuzef/vCtNHJW1fmLmdNo4qUlCo7LoaJ5VEAcHNJEJzCn9Zk+kU4wE3ViNH2bmE3qGlwf7xZYsrJ5uxliYMAo/pT2dcx8msHNJphF0RTyROpxEeJOLJdt1gAuGBIh6YsSqxgBbJX890+mDKujJ+Eytmm2Y4D7U+nUY427TCqXr0wdfK+Hf7NRPJNMJV8eWJNfFzo+TFkaviPwexOphImLwQrOLHpnQaYTHLR+zZrs9kMiPJ/4J2B+vC4sKeSgIXookRBnFBJ2B5B5akSMRxApZzZLUJWGmvVdqDNcp1tVvxwTaC60IX1kCZe8tjp5MU3fNujRIGDqzGdWUPGwlZQSl7Sx8WAGj74rSJVmGsUI6ICkpykwuzqLUUWcxi9+XI6tWrMTk5iU6n46cWZsbPtl4HO6oS00qg0o14xbC9V6GQBRcrZPS1Ro9NaRYH7zfORSRtn5TmAjVqMEl7nY3RsRFdJEtb4964sASMCwsAVFDgrplND5W9zkfk0Lyluw4sIHZkhS6OUMAy7iWGtuKVOUbjohp0ezU/NhQzas2otH3OtoOKRCgtOaHLTiaMCt2ljxG6KKNZX/M+z/Y9XyVF8PGammL3EG1dWJoZ2rnU3PO2L1qeTrj0GGcMcF+KE2YymUwmsxzIbvfdwQlYQoClNJvrwCoIWgZ9WL7APdhkI2CFkcKRPVdtAtcwF9YIN9aCJkKHkcFk37A+IXKFIUjWFfRhmchg8zyjKKF9QLL3c6KVP7XnB6KFCxCY2txaKv8Tyexj3HffffjzP/9znHDCCTjttNPw7W9/G1dddRU2b9682EvbZ9nW72BnLTGtCBUTKiti1dqeBpvZz7YTS2EGfcygj+lgq2CErQICJQqUKIxIxYUpbucy2pyAFbqwnIvJxLDNOnUSJRKgSNBKr0uh5HZOyHJxQtPGFZa5iyHHAQphHldbJ9aMVuhrDcUMIkJHEDqSIIURAZ0Tq0KNmmoorsBs3tMJxo0mgggjk3VskbKdWDZOyNrfb/A5C4SRQodi5xQLbkvxaSaTyWQymeUFM0GPaWP74Tt3Yo2H7MSaB8856I2mzF0IX+YOIcxpIQDXhSUDAUs2Ewh1VPDuhJzBDqy2COGA+ORcWBghWCX3nfd1IS2aUFr03vRhjRCQwucVinQ+PphECQX7/Y0DK44Ptk0kBKwjaxYxK71+VIeWcWDlr1yXNDzqH8ICjrWPccYZZ+Ab3/gGTjrpJLzmNa/BK17xCjzhCU9Y7GXtc/z/TvlfePThVdi8fQ0enJ7EY5VAxYSeJitcNW4sN4HQCUjMQM2MijUqKPRRgUlHzqaSjbOogJk7qMIpqonwLkBewEpdWAKAJoLgxo0FuxYnXIWuq5TWCCGN7tXxnVrJOkPBy1wP/3ooZvS4hgChZCMfdaWZ1KhtFLLS2vZhqcBRZScJ2lJ5c1xpXVjCu7FcDDMtdidq/xIjEsMw6OoJBSyVf2QsSXKcMJPJZDKLwV133YV169Yt9jKWPVnEmg9CRgIWl24qoWhihKU51aVoOrBCASvswAqigMOEqIH9XsyiSBBKnVt7iqisnQHSyWXnvBriAGtda5urbIiQlYpZQPOBgQBIoaM+LHN9030VClxtaCYoFmazizYfCpsPNhLst8wSI4yzjuNY+xjPfOYz8bd/+7c48cQTF3sp+zRTj5XYNdPBrrpATxnxqmIjYFVspg+6OKETsEypOmw0zRzHeZXARkpyNJE4BqD9hL0wSmiu10F8j0D+NmzvS8Fxxoc7vqtKN6XpZm3ar19ZwcoJTeSdXO49PTb9mvVS8H4PGIGr0hozSqGHGorMq0EQIHIzEF0vViNqORQqaIojiETCC1Wh2GZeT2m6s1hHryXDCGpO1AIacSt3ZS89cpywnd/4jd/A5OTk7DfMZDKZTGYRySLWPCAZCFi2yJ1LuzkhSxoBy7iwkqigoMBxZI6ZilP+fJuw1SJgRRMM9xQtMcLIeaUDMSu8T/rckvU2sUH7YS6MEroHEEa0ItH0YZEVstIooXdigQdEqrlMKTRF7kas0iBoFqZHK3/JmtlH2LBhAwCg3+/jvvvuwzHHHIMil4uOnR27JrC938WUkugPCFhko2+A0rGApbR9LwyEj7BDyiES8akRirQXsVzPk2YjxNd2fxEMrNgTOBcWeyFLNVE9vyZX6246vIzA1hTNp6QiW3gbF7+c4Ro9VKjQB1uxaTYBi6G8gKVMJXzwGDK4TzjV0ITMGco8Q9+JFQiSMJMVFTdRw0xmsdFa4yc/+QkefvhhaB1HZs866ywAwC233LIYS8tkMplMZl7kTy/zoSiaHqzAgeVdWAVBl9Z5VTbiFWxkMO6DSoQoDIkROoL4YKvINcL5tFukAlaLE8sJWM6FlU429IdqcY7FTqwkShg4sRrxqtlC2orc24SsYRFDxQRBDAXhC+AB4xVQLR/6BOk5CWOZvUsudh/N9PQ0/uiP/gg33XQTAOBHP/oRjj76aFx66aU4/PDD8fa3v32RV7hvsHV6AjuqAlO1xLQW6GsjXjkHljv1zis0Alatm2pxFwUchg6EIidgpdFDYV1DxstFvrzdPa5jd91C4Vtk6FByDizTPWWcYWZNsFJT05lFgBe0hj3f5nlZkUgzemy6w3rUQ011cxsrZFGLEOifN7SV2SpormHq2aUdFiIiAcusQfvT2NXmIqGmx0tQ48Lal5w6+worzYn19a9/Ha94xStw//33D8R9iQhKqSH3zIyDdBrhOjkRXV4r4suHyVXJ5WRqXnA+nT442zTCVTL+80+nD3bknvsLPTCNMKkf3DITLyb9AmBtEe/oJJdXT8Z/j7uT8QN01sWPL7rJREGZXt+87gPTB2cZy8h1HV/uVfH94wGU8xvzmBlKfc/HzOnO6bEcTymCGtN0FqXMcZ72tKdBSolLLrkEl1xyyViOvRLJ/2LmQ1uRuxRmKxoHli4JuoDvxNIS0GGpuxWwwsL21kmE0fUUCTt7VLhypD/HEieWE6xSAavt9qGo1RYhbI0SCjYOLKdMJFHCsA/LubIEmn1Ae1m7Qw5RKZxwpVpeUAE98piZzFLm7W9/O/7zP/8T//7v/46JieaX5t/+7d/GZz/72UVc2b7Ftn4HO+oCu5QRsPqa0NemuN0IWuaX91DIcgKWKQi3719whejCbx1big44AWZQwHKXFSrvgoqjb3uexoVVmwJ1VH7TYLvWMCLpSuSHH8/flowbywhhjIoVpmkGPZr2vVZNlNBEA1MBy4h65lXSUKi5Fzux0DixHE5e1NAmUmhfV+ecc6JV5MzCPplMziwzLrroIpx22mn4/ve/j0cffRRbt27126OPPrrYy8tkMpkVw1133YW77747C1i7SXZizQchWovcuXBilROwgqmEqQhlGdoLhRECFjAgYLXed0+SxAjNqfkV3fdl2eVwy9rbnsfQKKEXslx0sIkSOgQhihJGApYrCm4rfG8RokyEkILzwkYM26cU5k6sJUjwd3Asx9rH+Kd/+id89rOfxdOf/vRoktwJJ5yAn/70p4u4sn2Lrf0Su5TAlCLMqMaBFbqwam6ihC4S5+JnUUm4dylRVKTej3qmGqcTYKJugOtwAhQ5IYd8zG+cPVjpj53mMYywplChJuNyAhcAKgAlwp4vovj5OWb7ykAxo4JCj8zsRm1jfmGUMCR9DCf2KVR27QqCmj4sV+5uYoTSC1ncSFh+nU600jBVju7Pt14OVp0Vxkordv/xj3+Mz33uczj22GMXeymZTCaTyew2WcQawXMOvghUFO1F7qU0zqugyL1xXlknVuC48qRClts3SoRqE62w9wQsahMGnM6kOY4aRnccPB8LdBw8h5YoYeDCIqHjOCGQlLe3TyhMmW1aIYAkTkj2o4uGsB9eJPKUwnHzrU1jKhofY5xwX/wj/uUvf4mDDz54YP+uXbsiUSszP/79f/0vPPrLNfif7WvwwPQEttcCM4owYx1YoYilrCPLdSVpJ3bAiD/MTRyPiCC4EbCcAOP8Qka8qr1gBMDXqQOAJpNRdJ4j8y7W/MVm5ln/3BcqdjmRx/dhQaNGZb/hKEDQPioZ9mGF69FB7EkErwHZgCDDiVg1+phGhRl7W+kFLHO+KbePnhvZV45rKK4C8aq5bzpFcdhrxDZK6JbsxDfnyMqMh82bxlM6Ps6Y53Io7j/99NPxk5/8JItYmUwmk9knyCLWKKQ0W1jk7gSswsQItRTWeWW+YE4jg542oSkRuEJRK3JhhdfPRbAadpv5fEZ1jqokHtgqaLU8fujCCrvA4ueGSLgaiBnaY/mz1LixnOtKCj00FjgM7R9Y2w9UACAgabATwkwhtOIVaXRI5cmEewC9DL7J3hd42tOehn/+53/Gm970JgCNYPA3f/M3OOOMMxZzacua7Y9OYuvUBHbUBaZUI2D1lBGwKg3UiXjlHFiaGweWiRi6onCOumtC91QjW+lWkcmLNmxatQor5PgYYlBGLqxwFt0/Ebb0LJ/SjXwzuE5f5E46iuoJCBSQKFCggEBJEiUJSPu4DEalmx81AoQSEpIEiMz1ism+lu6VUPa2jfAkUSCeLjj8eaQCVni/Ya6uYThxhLOANXaYc5x/IbzpTW/CFVdcgc2bN+Okk05CWcYdS0996lMXaWWZTCazdMmdWEuXLGKNgGx0kAsJlEU8iVCSiRG6KGFpHViSYlEGGBCr2pxUQwWsVOBBfFvHHo8R+gdCNJnQb0PcYun6nX7Ewp7a2xuBi4P7xbFBJ175QxJDCo4ELTeVcFh5u5s0OMyNpZji0et2xLok04MlEccQ5+LqyswNzWOq58txwpG85z3vwXOe8xzcfffdqOsaf/VXf4Uf/OAH+NrXvoY77rhjsZe3bHlk5yo82utie1VEApbpw0JQ6M6+wF3b2KBzEylto2g8KLY0kbXmtIZqRKIkRgiEbiIBavn35cWm4IdHKl7FaxhNeH0kZNl4n3NjubVJLlCiMOIUCJIIhX18zUAN+/owQxKhI0wXmLuNd7GBoWxU0RzfPG+JslV4Cnu4GLG4lnZgEYXTDYVffxtE5MvC3Y/E0I2VGQ+j/gzmg4t9jutYS52XvvSlAIALL7zQ7yMi78bMxe6ZTCazd7jrrruwbt26xV7GsieLWKMoCu/Gai1yD3uwZNCDJdAuYLWJUEMErIHrhwlYQ9xWbUKXY96Cl+vA4vhy600TAa6tvH4gSig4eK5BHxa1TyUMu6/CbXBi4fgmCEowBLSJFebJhGOnrUR/QWQRayTPeMYz8NWvfhV/+Zd/iWOOOQa33XYbTjnlFHzta1/DSSedtNjLW7ZsmZnAtqrA9tr1YBnhqq+BnjIiVa2tiBXEmJw45QQspdk7sUy/UiNaheebMneORBkHJRE64X1YsZjFDOgR72WpmOYut3VXpbdJ1+cEI7ca48QSkCRQkEApqHFicVN6D5gvMUqIKG7YdIhpaOLE6SX98xUs/Hqi547hH9pT55VI3FmpkNL2ejDQOOr2xTeTZQ4zgcf07d+4jrMnue+++xZ7CSuK2aYRHirXxteL2BmXTiPsJH/F0gmEIbNNI0ynD6bTCQePF98+HaInxdzf39JphD0VL3a2aYSryvjyfpPxBMBVq+PLncnkua6OP/bKVcnUx9WdeAGzvTijqEcLw9TtxpeL/JF8IdQ/+Xiyo45PM/ss+V/MKNw0wsI6sEphnVhWsApK3d0UwjRKOJsANcytxZENafj9o/3zZQFiVmu8cNixvUgVxCwFIidWKnQNbvGDNEIWom6ssLR93Ajo1ijhfGOMmcxS4KSTTsJNN9202MvYp/hlzxS576gJ0wrehWVihGwjhYw6cFw5BJoydxONGyxeb6YKauvCqv10v1SMSQUs4kbCcvsA6wQjhmCKxKm5dGBpcEtBOreeN5eVL1z367JSU0kChRWwpICPVDqXlXdfESCJvEOXYUQ/XyAPbaJm1IhQosWBFpbet7mw0hih2wTEEMFw8AdpGL/MLqzxkuOEC+PII49c7CVkMplMJjM2sog1CiGskBVPItRF04OlCyNe6aIRsFInFjDovhrYh+b8QIwQsRg2lFGi1gKErlCjSV1Y6XWx4yp2YaXusmgqoXdhcfTaDKyF7AZEjqxCaB8fTKcStuEiha4HK+3Fgo3nKDuV0CGsA6vMnVh7hLbpjwsh0Tx3+1j7Atu3b5/zbbO9eWH8si9NjFABM8r0X1U2PugcWOa8EbIcAgQFVwwenLZ0UHFQku4mEY5yEzkBy7ROkRViKDheuxPLi1zOUcXtPiInMKVF8U300f5HcZQQgF2X6cJyMUIpjEilbIywsmKFIAIRoRSNYGQ6sewGM10wFTckF1E83NyvEbDacAKWgIyihG7fqPs2j4Gm3D05zew+OU64cH76059i48aN+OEPfwgiwpOf/GS8+c1vxjHHHLPYS8tkMpkliat5GNexgNyJNS6yiBXwnEMuBhUymkbI0nRg+UmErsi9MDFClghihDR8YuAQ91V6m7YerAEBK3JsjXhCLde13Z5pxAf2IJ5FA6ctH7SSMvf258Ktzit2BxZso4TOaRULV4BxXIUurLYo4e4gSTddWMTmMlwvVnvnVmbufHfTEahYoGKJPmQ0ETIzXvbff/9ZJ9DlXpT58bf7/zZ+OdPFw70Sj/QFtlVkXFcM77pSjCBC2BSpu7dNokYICgWsmo1nSbEO5vqx735qnEeNIJOKNQAiB1YaI9RgSHsqWv7ttbmx3AS+YX+XXAm9c4wNrMd2Sgm7LglT5O4213XlXhfFjeO1hLkNoenCUlboqp1QxiqYSOieeXsnlp9KmIhr5r5y4HLb6+sex605vYVG8+NzOUyvW6r8z33dJpLK4xsB4vrLxnWspc6tt96KF77whfi1X/s1nHnmmWBm3HnnnTjxxBPxxS9+Eeecc87sB8lkMpnMbpM7scZDFrECSIqBaYSwUwhZkNlckXthe7DEoIAVuaeA2eOD/vazCFjJb29tZfELet5z+QWMh5yi/Xn6/S3PJS20Z8HmE4CA78ciwSABpH1YAHyUMI0OzkVcCu/jphS2TSVMiWKEYCNsZSErswz48pe/vNhL2Od4rF9iZ23cV5UmL1aEH2ZDRxWBYAy9jZPICVoaALSN99kadCdg1dBQUN6B1daBFQosRtAye911jbuIWrubRsUHU0dYKGBFrq4hMUgBgYILgJp1luiiRInCrs65sAQZ11VfNw4w9zr6x4GJGvYVo2KNGV2jQgWFqlmjlcioRXxSUF7Aqu39dIubjUhAovRRwlEUTowTTReNtuuudeMYyywMJ9ISSfM7Q44TLoi3v/3tuPzyy/He9753YP+f/MmfZBErk8lkMsuKLGKFOAdW2IPlY4RNkTsHJe5NDxZmFZ+GCVi+/2oMAtacDS2jbuciWWl0cIiA5eKE0XHbBD23iUS8Cl1YhKDo3Tmy4HtQKHFdpVFCs29+v+QqJlsOH08eFN59FewPhLIxzdNbkWgmKJhNs4AaVyAjcA6O5Vj7AGeffXZ0+T/+4z/w0Y9+FD/96U/xuc99Dk94whPwyU9+EuvXr1+kFS4/HqsKTCmBvrYOLN24rEK3FWAuCzICR9P7RFbcME4tJkAwoWINthE5J2D1Udn+K7aiS+O8ck6jMFaoob2XKOzBcpuL5Gmwf28PpxKmwtVc/hl4p5gV2sxjuml+JcCBiMVGwCLrwKLAjWXWEj9u6JUKHVgzWqGHGj3qQZlZhkDQa+W8WO2uMmUiiF4WDLqxKOzBcs6uNkeXsuIKoRRGyBL2eyj/9wCm46vOItaCMT1n5s+jEF3v+Nvt42Jl/aj44Q9/iL//+78f2H/hhRdi48aNe39BmUwmk8nsBlnECkmL3AsBXbqJhLbI3bmwimASoaBZxadhBe+h+yq8XWuPVBt7QMBqvUsSJTSPRyZSGDrJ2taRPI/UiRW5sIQVrYSJCwoROLGAwI3V7sQaReTCcuEWJv+hqe12TtxynVixG2vkw2UyS46bb74Zr3zlK3H++efjO9/5Dnq9HgBgx44d2LBhA2655ZZFXuHyYEctsasWmNGE2gorbpqeF1+8kMEgEEpB6EhCR5jb9m35O+AmMpk2qToRsML+KxeFC0UhUzgOI3CRiesZIcsJMO0OLNi1EmYXrka5tZgbASsMOwI20kgaAh0fnSxRmighTEm7tD8C3cQrUo3IZgSL+OuCSmv0tcYMV5jGDCrqIZ1M6J53eAoACqZTyXjbqqYMfuC+boUiEAyFPYIRsKTtGpMgK1DGYqBzjWUn1u7B0CCSEFSiwMQcreOZlIMOOgjf/e53cdxxx0X7v/vd7+Lggw9epFXtO/zm458XXZ5tGuEBopNcH38cm5h1YmBzvpPcdlURfymYDtjb20OJlA7eg5MPCP1kOuFk8n1BuvZ0suJkN3bSTqyJn3t3bXx8uTqeRkjJL/Kim1xfDH6BMZR0GmF6rMGxjvHlPJ1wTqiffTLZsWfdubUC6jEF2d1fkdyJNR7yv5gQKQEpTQ+WDMUr8kXuXMAUuktEMcJZxadWMYtiMaflNuMUsOZdOxQ6stCcpj//2krn2zuv7J0jAYsHXVheyNIj+7D8+ei62DU1Cidkhbj7y0CwcoRTCZ3ullkYjQNrvK9iLnYfzTXXXIOPfOQjeNWrXoXPfOYzfv8znvEMXH311Yu4suXF9soIWDPKdGCpwIUFDBY9CzK/jE9IYHVhphcaccXECsPfo1UQIVSkUMEIjS4GZ49o/58Wl2toAqR/SxWRiEXBeWaGJgwVuBxtAlZzvPh2oYDl12cnBEp7uQOJkiQKEiise8lMJ0yig1Yci+OERhCqWGEaPfRpBhV6Pk5IZF8XFqCWyYRuwRoKmmsvfkWl8widWMKLWcMQ1kVWCoqK3Gtt/mzrLGKNBUklCuq2/7kuACMyj+eDyXLoxHr961+PN7zhDbj33nvxjGc8A0SEr3zlK3jf+96HK664YrGXl8lkMiuG3Ik1HrKIFcDSTCOEm0bo3Fi2+8r1YHlBSzSTCP3vVUMcV/7yCAFrzhMM03WPyxHE7efbhKzmymBfi/iWTiiMTm2UcMCF5TuwbPeVCEvcg4dOOrDmUrZuAi7NQbQVUxCIXy4+KIIyd0na3z+7sHYfFbkjxvxiLoMPFIvFPffcg7POOmtg/7p167Bt27a9v6BlymMVBSXuTdk4I+hygrtshI5SECYlsLpgX2KuQcaVpdkXmrutogoVeqioN/D4RAKCm66rUDRzgoxoEbDaGOWymits11xHjqhmfebxzURC53EKo4QE8xppNO/x4WvBbNxsJk7I6KHGDE1hmnahRg+a6+a18eJTS9k9JExtvo56tJo4ZulX6ASswecaC14mCmkdZWS+FHZ/9oqRnVi7CbMyrzNKFOii4Hk4I0YdFysrTvinf/qnWLt2LT7wgQ/gyiuvBAAcfvjhuOqqq3DppZcu8uoymUwmk5kfK1rEes5hl4DKsunBKosgRih8ibuLEcZdWEaECvuwALSKTwspcJ9rafucBKw5HsvfpE3MGuVwoSRKmIpxqSPLPkjrbVsK3f3DBPvSyF/b+VH75osrdj/xSQ/u9rFWIj/++WHos0AFgYoFNEvvxgIANaZv1zOjOeyww/CTn/wERx11VLT/K1/5Co4++ujFWdQy4NZjT8MDW/bDz3atxn27SmxTTYSQEwGL/b7gvQtG5CiFiX5oNuf7Gr7vz9yPrQur9tHBsMjdC0NsgmwCZCN7DIaAgou9xTgBK3VduX6h2aZXjsILTWjWGgpYoRtMQngXlpvoZwQsd2q+FfHTGsGxKGhFoQo1ejSN2rqw2srZ3TrC189FMk2UUNnXRtpNDPRhDXNgDUw0TF4+zYxvH/yP83odM4bJ+8/CDrENO/kRTKktEFSjEF0U1EWJLooWYTEzO0SEyy+/HJdffjl27NgBAFi7du0s98pkMplMZmmyokWs4QKWiRJqKbzrSpdhBxbaY36tglV8Ey9gDV3ULJfn/ORGr2NOhxjmvhrWixU8VuhQ80Kd4Oa1E7BCFjcZsFBsCgrdnWhlplfFsULHfISq0I3lCtzbbgPAO7Ayu4cCWddbU+juooRGwJp9QuScWGlfr8+TN77xjXjzm9+Mv/u7vwMR4X/+53/wta99DW9961vxZ3/2Z4u9vCXLlm2rsa3fwVRt3hkENX89mABooLY7nCvL4Qq/gaaYPNpsKXzkPKJYuHKOIIJxYPnacnvel1vZxzXl6Vbkipyn3BofnE9ZNjnHFCj6J+LW3Rb3CovlzTGswBUsxYmA7rVw7i5GE8lTfgri3N6XdSCsMTXzHQFAs4ak0gtWggpI78QanEqYClduH3PTh6a0c17NaXmZFmZoCjUqCCrQlfuBodChNehgEiV3IcbkatM8vhjgcogThmTxKpPJZDLLnRUtYg0IWG5zPVhlcCphpxMGPVhJhHCkgBW4lZrL8aljLhHCgeMHx03Pz/V4baTaUJtWNODCSp1XIhWz2m/nBKv0QQjwjixX8C6CywthLtFDhxOyxh57W0GogWmEwp7avztj6sbKnVijedvb3obHHnsMz3zmMzEzM4OzzjoL3W4Xb33rW/FHf/RHi728JcvmqVV4tF9iRpOfNujQbN1UgStLWTHGu4zcezGaD8+NkMX+NBVoBAswyUi8IiuySJYowh/h3BSLFyiGuoj2BG7dGjzgk0n7uMjuM19KBMewrwMHTiwNhmINxcJP+VPc9qWDHJhwGopXbo2KTA9WWuZeUBcSTtAy0bX256kHzmvbaxYKWMtN1FhKTJFxCUmUkFTaP40uOjyJkkuM6wsPjcHuut051lLklFNOwZe+9CUccMABOPnkk0c6Lr/97W/vxZVlMpnM8kAzjbE/0RwnF7uPhxUtYkUCli9yF+DSxgll0IMl4x6s0HmUClgjo4CJcNUWRWxd6wL//QwTsNLjDXxgbxOvhvVhJS4s97yiqKX55DJQ7h5vZr8RrRBFB8PzaZm7o81R1VzHrcKVIDZF7S2KRVrsnlk4qQsLMKKgYgENMfABNLPn+PM//3O84x3vwN133w2tNU444QSsWbNmsZe1pNk808WUIkwp02HlxCkgMkAZN44VsBySbO0fOfGKvNChtBVu2MTmlPcOhVHERsAyTiETISzsdDwX19POkQVAWhdWm+tqmBtrrjBz5MZyYpO/nrT/hscJaW4tRARBZN/fG5eYZvgYptKxK02jcWGFQt8oN1bsvnJ188r3YZlTBaD0DqwS3Wa9dv3a/kxx9zHHVsHjhGtrXHi5A2vh9HgnCuqigIkPlmwihJILFJDj8uyuCM477zx0u11/fndiw5mYdBrhAXIyunwgxdMJ14pYGH9iMomuSP5o0t7VdAJhyJ6eRpgO0evI+f2+Fn4BXM9y1yJZazqNcL/JOro8uSp+RyjioY8oVseLpyT7LVYnd0gIJwrybFPwZptkOMv18om/P/r+K5R0GiHX8d8BJJdZqeh0KZKL3cfDihaxokmEpSly16UIRKtwgy14bwSaVLjx54EW0YgisWeAEfefs4A1TDybRcAayrA4YctjhmJV6sgyTixuvw0QxAlj8SrsxHJRQufCmmuUUDPN+bbDxKzM7tPqwvIC1hh/sc5xwjmxatUqnHbaaYu9jGXDQzNG0q41vBPLTRUUBDhjDwdChrvOiTaOMEroRK+a2corTZSQEZekS5SQ7ArHRSRgAdKH+8Lo3rAy990lFLIcTlgSkPY0LnZvnotbn71M7v4uVmljhWimHWr7GrFzanl31fBfUpvbOAHL/WdfadamIB8SEgVKbvkww42QZS4Our2MkNW46pzLLrMwZvRjmJQHYAJrsEqvQRfd6O8QjUnGcqLpuI61FHnnO9/pz1911VWLt5BMJpPJZMbMim5TZh8jDASsghoXVmmdWAWaiYQy7sQaELC8SEPRFj1um9gD7J6A1fb8kmP79Y5gNkdW+52Cx3OXAzcWRHw62Ic1y+ETJ5YXtoLFufPzFaFGubcy4yUWsuI/9FzsnlnK/GIaeLQHTKvGfOpEKjvjI3BasW10MkhqYn4uTpj2YSk2E/ga91EwYdCWuLv4YIkS0v4XClYdSHQg/QTAYWXuo0gdUG2bw/Vo+fYqcmLR4HswBeskaiKW4ZfiRqAyxzVatEYN5f1TtWbUrG3lPQ8ISm3xSXM7W+ZOdejt8reRKFFyFx2eQImOjRXK5Diq1fmloc16nRtLwzvrMgujr3dBcQXJBVZjEutoAquogy4K+zc//6xYCEcffTQeeeSRgf3btm3LQz0ymUxmifOe97wHRITLLrvM72NmXHXVVTj88MMxOTmJ3/zN38QPfvCDxVvkXmZFObGee+TlJj5oY4QoJVAIM30wmUSoS9d/lWxRLM4ct3X6IOJ97vweE7DG4byyt410oDArM+QxB7qwkn3+OQONaJX0YkV9WGGpOxC4sTja3L7dJY0ZRs6tHHNbED/9+WHQAPosbJQw/uARurDGWeyeO7Ey4+D6defigakJPDBd4KFpws6a0ZWmx6lEI1iFb48CZuJgpc2bYCEIkky0w0VDam3uU2mg0oxKG3HGxeTMcdwbpJmsZ3xCtgfLilTwj2kOPJtg5WJ/82XUfeYijkWuMCJTcu9jhU78s8/B/uwxMUMTiXQwM2po1KyhoKBQRY9DJCAYUZdVKAaaKY/KO7cI0ruwyMc0hXXZabh3fgFE7rKhrxOPvpwZzrr7n4XHaCsewy+wUz0M5p4v15cQkETmvZgEBDdDWXYXBo31WEudn/3sZ1At8Zper4cHHnhgEVaUyWQySx+taGyJEa3McebbiXXXXXfhhhtuwFOf+tRo//vf/35ce+21uPHGG3H88cfjmmuuwTnnnIN77rlnRQzwWFEili9yL6QVrgR0IQYmEXJhHVdhkfscBCwvXrX9XR+XgDXq39FuOLjYfqDwn1nc+qztgOOLA4+TdmHF54dECf0WxAkx2IcFNFHC6Om2CFlh+Z477/fZJzAX4UuS9i4tJ2Tljqz5EXZf7TVynDAzBnZUBWaUgGIjthTCCFTJWzcYTXSsEMAkETpBmYkAoihhzYBSxtHVU0BPMWaU9iKWAKHkjg++SUgwaZTc8QJWGhMUQ86HhP1VUTSLyLuGnGDlTjn4BxBe55q4ABNiHEZa6C5hRCwjZDUQTOeKtD9fO4LQFRK1KtGDqbHXMC6sCgq1c1ZZIcsJV0RGjCqsINWsPS5xd6IVCLZ7qfQBTQCRkKWSSGcjbJnLBQojzgnzZyKFyUOOqQN2RWD+bpQoaRIdsQaKTE8ZsSnrd/82mGMn4O6yEuKEAPCFL3zBn7/11lux3377+ctKKXzpS1/C+vXrF2NpmUwmsyKZTyfWzp07cf755+Nv/uZvcM011/j9zIyNGzfiHe94B17ykpcAAG666SYccsgh+PSnP403vvGNe2TtS4kVJWJ5AatsRCzfeSWMWBUWuWsrZLUJWEPdVy2ClGd3BKx5iFq7M43QC1bcrNUfJvhFbeAxkucWnR8VJRTGdRW6scIuLMBFT8zlNEq4ECdW2pOlQa2l7xLaF2Lm2OHCcN90h31YecpjZqmzoy4wo5sSdyO+NK4qQU0k0BXVlgLoBu+XLjqouRG7zIQ9YKY24tWM0uix8hP3BAgliqgPCgwvYEnfgTU3J5QTqVIBa7b7chIfbIQts87CWmnD2ByxAJGLOMbOS0kCBRlXjYsSEpoJhZKAUhAEA6VgdKRAxRIISt4VNPpQqKjyUwYB2EdzfrXSl7IPQ0D6LzSaiYSuBF9EohdBQrCGonCfsD456cU5AfMcFBOIeKS4lxmksBMIu2INai5RwpRi19CoeOmW8y4HXvSiFwEw7wUXXHBBdF1ZljjqqKPwgQ98YBFWlslkMpnZuOSSS/D85z8fv/3bvx2JWPfddx82b96Mc8891+/rdrs4++yzceedd2YRa5+jLALxym5OyHKnoilyb8QtDApYcxCvhopRlFy3EAFrlHg1y75hRFHC1IXFjVvLf2xJXFjefdUiZo2KEsKJVkkWbLDcvf10ITghS7OApPiX5NCF5S5n5seivWLZiZUZAzsqgRk7iVCQEagkNQKWw/Vbudt0BDAhXbm3uX+lgb7tSqq8gMWYqRk9rdDnZrKONBKLFZFEFDGUEMYFFVi7nBg1yqHibi/m8PdZNw1XfvPl6vY/V39OXvgZjfNtSSIUzokVvI6mG4v8FMeOJFQaUMLECSvW0KzQh0IPPVTooUYFtl8/CCuAlNxB2mXluq+c+OZcWAQBQUb4KrgABcJXGCt072OhLKft47pNEEEKW/Bvb63ym8ecESBILlCiC0WrIMlMihTWCVehGRAwzkEFGuP7ObWUf0PQ2qxu/fr1uOuuu/D4xz9+kVe0PEmnET5ero4uHyC60eXVFH+8OqqML08mg+rSqXzphMGU8Pffrhz9fpNOF5wNOZcfFgs8Xjd53jr5kJJOI5ws439da5LphKvWxNeXq+LjiWSso1wdT4mkdGJg8sL//9n7+6DZsrK+G/9ea+3dfd9n3hBxhlGRIIIKaMUfIAymIPjCD1MxRlOJeYjEWCaSACqx/KmRKhny4KBWhdIqlaBJEBUffaKJlZQGoUrBFzCOipGShCgBZlCGN4c5c865u3vvta7fH9e61tveu7vvc/q8zdnXqT7dvV/WXnv1vnf3/uzv9b12ViTMo6+A+7LaltlRvXCO/eI0n8k1GmfPni3eL5fLWEk2j1/4hV/AH/3RH+Hee+8dzHvggQcAAHfccUcx/Y477sCHPvShA/b22o0bCmJxIwbuEV41FNVXbFIaobcIiqwyNa58ruBV9noroKogWNG/ifUGsQt67Vp/Vyi4osixSnmBLlOpsAYwa1tVwgxg6evYXLxTP0wZNLUiawRk1V+KxbxMdVUrsgBRX2kY4vjews+VC08Zrk7nvAIxe2LNcYh4qDfYFEqspMKylE6DOcRqCDhjGbeEcudrT9h4wpqkbuAm+GCtHOOk91h5hxX3WKMDwWChyh4yhck7g6MCy9I4Nkq1CcfDg4vUQQAFDBtbXtRPqaofkw9pfSacRbO2Jsy2FfWoCqsx6oWVgzhVYsl4LpjgbPAs6g28Y2xCX1SF5dCB2YfvDRMgyALEJvZzysOKgoZKxq2NflgUEgbrtfKpJoNkhpOCiyBwTo+M+dSxfxgQGlgscQQw4KiHZflp2kMuWJMS8YAQiw/nXXY9eKB94AMfuNpdmGOOOea47qL3hH7L76XTtgUAj3vc44rpr3rVqwYVZO+//358x3d8B9761rfi6Ohoss36t5xWj74R4saCWDnAasUHKxq6BxWWDyosHyoR5kCmUF/tUl6NTa9hmE6ufwCdFmBNLH8x7GCgxoKqqEo1VtGf6jEAVbkp/kgqIRGDjKqukgJLDNxHFFgYfw/sAFiqvsJ4+mA+zcZt+NkL6yKi9sOaUwjnuJ7i4Y5iCmCe8mbD+UjPM7pMC4EwNzWMRy0cPAMrZ7DyBuSAjSf4kHoYAZbvscIGJ7TCkpfwMGhBaMkEeIXoBUTBEF2N0fOIKX88BCiKVTSdcOqHTa7kKhVYPqTucfShMkRo2MKPgCsDU6iaAPmBRQRYk1RY2jej87KHYwSIZeA8sPEenhkdbdCRKLEcOjh0aIJix6LFkuUuZs8OoD7CKJ8paVVPpd5YDTeD9Ed97eCjGsiwgScEfZyNyzUwMdVUlFgEz3xQxdCNEBY2KOlKHzJHLh7QZuJ7e4794/z583jHO96B++67D5vNppj37d/+7VepV3PMMcccN1bcf//9hSfWmArrD//wD/Gxj30MT3/60+M05xx+67d+Cz/2Yz+G973vfQBEkXXnnXfGZT72sY8N1FmP1HhEQ6yvfvy/BC9bYNGCF1KNMKYSGgI3Cq0oKa8sZJrBiAor+/V9SniVP0fIw9vXH0S+/o7ltwKssXmV35V2Ly4aQB75BLXi9HyMslTBQSphSMss0wk5qbCy9MHBo+ruEGhtl5eOqa5iW+Bk4k4c39uJO/lz7Be5H1b+fFljTiec4yLiJ2/7Snx8dYSPrxt8YmNxNvvT1yp6evT6kCZYPwA5l7TE8CTKK1VqSTXCUJGQvTzgCngUq/aFE6JXLyvCJMDS9TwYhhSglJGDLGA89TCvXqjqIkE4LBLlAIVK2CP9zZtTM/qkbMoT79JYChhU+EPgbAzVcFuhnA+qtA4bdFjDw8X0wNQX3QKAMK4Mh576iN982CMFWIZDamGmqMqTQYgNUKWaC0bR1EQrGixS38Z0A4jnk8feIe5mLlP7Vd+7JKo3BwcDOtjY3mhfFe9+97vxt/7W38KFCxdw/vx5PPrRj8YnPvEJnDlzBrfffvsMseaYY445rlDceuutO43dv+IrvgLvec97imnf/M3fjC/4gi/A93zP9+BzP/dz8djHPhZve9vb8CVf8iUAgM1mg3e84x34oR/6ocvW92spHtEQC40FbFWJMIdXJgGsMQ+sAcCqFVV5bINaNbyq16mUT2NtDtqe2t622AK84iwupynIiu9N9kM970sGs8ZSCeN7k1RYiAqs0AyhSCXUMEGVlVcr1OmXEtJunj4YUgezZwuGgTzPiqzLF2OqjjnmuFLx0GaBC85g7cWPScNU5yLH42CqJVmvZ0LHBMeEC87g4Z5wtiOc64CT4IXVeR/N1kWB0qJFgzGPKULylLqYqFVZQGnqnqcZmuwLTrfIsAIZ2MKGdD7LDWwAOGk7AiAYDkwWhgkNDFrYWJFQz+uNoaS8MtJKz4B3Oq6MjWNsPGPtfahK2EcglftbqSdW3g/9lwMsBzWCbyWZkLUeYVJh1XCPs+8GT+V2ZRyTV5NWXHRhzB8Blh1XLC7QBfTB/UoN+w0sLDdQC30fEOS2NNE5tse//Jf/El/zNV+D17/+9XjUox6F3/u930PbtvjGb/xGfMd3fMfV7t4cc8wxxxxZ3HLLLXja055WTLvpppvw6Z/+6XH6K17xCtxzzz140pOehCc96Um45557cObMGbzoRS+6Gl2+4vGIhljcNlKN0Npk2B5BlhFwpT5YQYkVVVhjAKtWQlVXFqNgqwJYRardFLyamDasiLjfOGxtK3tPkVhl08JbMnJ3fKDEAgpQFa66xl+H9/pMRv2whsorAANoFXenmnYaFdaYIssQZ1UIRYkV4RX52dj9IqL2w/JZipGNdsuAYwMPA3ewWue4sW6vz3GQeLi3OJ/5YHlOxuP6rKmDQDJr7zzDeaAzatwuAGvtCCtHON8TznbA+Y5x4jw2TnVE0pBU+WvRhNS0PKaUVfvGGMDKXxfzK5BlKQEaxx6dKp1YKsnlCqs8csBgYWCzioQ6juovtjQCtjoPOGasXRjPALJ6z9h4Uaz1EB8sUVQlddQQYDGYfEw3TO5YrgBg0r/SdHdsPxSIjUUcg0yJxVDIOZ889o0LdA59+LwcOgBAiyN4cmh5KYUOyMOz4Eh3IIh1o3li/fEf/zHe8IY3wFoLay3W6zU+93M/Fz/8wz+Mb/qmb4ol2ueYY4455khxOb4rnvnMZ8Jai5e97GV42ctedtHtffd3fzdOTk7w0pe+FA8++CCe9axn4a1vfStuueWWw3T4Go9HNMRCIyosBCUWbGnk7oMiSx5JiRU9nHLzDjoFRBpbLgdY9XJTVxs6+2LhVdXersqHjB0gCwFIjXh4KaNIaZgsr5FeI0xXFRZy1VXmhwWoSgoxlVDVWAM/rFMAplEj9ywtUY3ctTqhJQFZp93OHBJXwwdrNnaf42LibGdxwRmsAsTK7y/oUazTey/Koc7L684z2qDCEgAjaqwLjnC+B85ufFBheay9Q8cutC0JaZp8RzRUXCnIMnuadOryU/M0xpaJVQyRUheJBEgTUxwUMdg2EWBprz1Y/KcYMZUwqbBC26Qm7oSFlbF1LEBw5USB5ZgDzJLUy40augeQFfenqkSouKqHgw9paS5UMVSIRTDwcGixkP2r/LukneG5XtuIflicVcwjTSmUb0oGo58h1t6xwjkBWNyh5zUAgI3HAlKp0LP4kMlniwJiXkpo2uqh2rrWo23b+Hd4xx134L777sMXfuEX4rbbbsN99913lXt39eOuR39V8X5pSshdVyP8DHNcvH+0KS+nPqOqcndLUx4kdRW+XdUI68jXr6sJOr/9+6Je3p7yx069ft13U83f9Kk/i6pA36LZ3vdPu6kr3h+fKf/+z3x62V57W7mBQTXCZfk5UVW6cVCtcEvUlQuprka4XBTvcVz6HlHzyL4Ev9hwH/zZ4j33/cSSE3Ei3yNYbbYvdxXj3nvv3ZlOOBZvf/vbi/dEhLvvvntgCn+jxCP6L6hII7SZkbvJzNxtSiX0TQ5h0mMSIu1xXTEKsChTPm1pZ8z76mIA1i54lVOqoks1yArLxX5nC6cUwvExFJDFhQqLAnEoDd1RKLLyVEKNMUP3S4mYRphVILTwEWjNaYSnD58dYLtglmNzsLvrc8xxMaHVCEUNJHfLbKXEcpwA1toBG89ROaTzRFUkVQlPHHCuY5zdiJG7eGG5YBhOMX3Qkokpg2OwymRw6VIjtkElyMrbVvDUkoE1hM57wAPMNqwqqYI5dMuN37U9SwYtGTQh1Y5A0ci9NcDCyNiuXWZ47yR9kEObG+7RRVVV6YVFlHywcuUUa2papuxheDD7IkWQYkphuoipDe45ALGxIDbBwywJjAFJJZyVWPvHih+C4w6eezgOxw8ZWGrBkIs+H3wqHTw8HwZi3WjxJV/yJfiDP/gDPPnJT8bzn/98fP/3fz8+8YlP4Gd/9mfxRV/0RVe7e3PMMcccc8xxqnhkQ6zWglsLKLQyKIzc5T0yJVYOYWgAn/aCV7XyKW+jakefx26CXDaANaYE09eZCqv2yWLKFsuWJa7GJXpflWArpRFyTCMkk6uwUgohIaUSqgoL4TlXauXPwHhlQs8GhnyqTJipsQz5UWN4Qz76ZVmk5zlOH9sA1mVRas3phHNcRDzcUfS5ctnnnntiaTqhKLAYvVd4xdEPy7F4Y609YeWA8z3jbL/BGlrhT6r+tWhEhRVATx61N9Mh4JW2Q/nOoDR011kKsEQtRTG1EAC858KA3mTG7hzMubVdi6TCUvNzbb8h4Cjc8CaSMVw5j3N+Uxh3r9Ghow4dSUVC5uBLRUPZQm4MnquwmJMSq0G6E14DrDy4AlfJGD7dpVdPLfVx1P3zgIC/OfaKlTsLzz28F5BFAWA15gigmwFoWqeMuaPDQCwfHodq61qPe+65Bw8//DAA4P/+v/9vfNM3fRP+xb/4F/i8z/s8vPGNb7zKvZtjjjnmmGOO08V1DbH+vzd/E2jRAu0iPDdgfW6tVCMMRu7qhwUTfLAUaJkArxRgUfLAKiAUMEgT3CemAFadsjcZ+8CobdueWraCbUUaYQayikVHpkUgZ9L41Qqs4nVIKSQ1do/qq/FUwtzQvU4l3BV+JFVkDH7ZTPGlyiuL3NRdL8xmqjEVH/zwnXKBDwp+WDQJFXN45WHQsUV/oAv1OZ1wjrH4/5m/iwc7g7OdeFQ93DEWhtAaUQVtSNRX+UeuBu76Ok8fFLWWgndN45O0uBNvcOIEYm0cBz3QUA4/5St1ucKDYUb+Jrdt3zGDOfW1Vo2ZoMqysGixgGcfjN8NmqDk0vRBNXPPlW36rMorjs5VoqfaoEOHtRizczL9ZvajIAtIJuw1wOLMT4sKGEVIZu20E0hoVUPBkPlYCYxjnmsTbovmvrtwgc7iBGdx4h6E5/MRYHkvEIvZRaVdEz6rsaqalxI3mifWM57xjPj6Mz7jM/Brv/ZrV7E3c8wxxxzXR/Se0O9p6bBPW8DhPLFu9LiuIRY1DdA0ksPcNsnIfSSNsPbBytMIxxRTk/5Vp1FF1aqsiba2xc5UwF3r7NhWrgobA1mD7U6BNx23oMJCNZYcYRbHvuQqrG2phMA4fNrmUzUGsHaFIUZLLjx6tNRjQW6uTLhn5J9GrbJyILhwoahm7h032LCFO6Sx+xxzjMS5XozWNyHljwM44XAhmx+thhLAckH0kVRaosDSo9USQAHQcIBY53rxwlJ/JwCw1YX4FDjKfyft+yex78W9Zx58D4z1Qvrs4T3BeFFqaV9sUF+p3xUR0LDBMbcAAxYNjrHEkpqsCmECWeqd4hhYOYWDHNI3xR8M8OiDt5UjFyvWKYwSRc5u35IcYI2FKqnSe4IL0z0bIFP8qMKMIACr5RYWNqZ69l6+uxwDPfPBgcsjKUwYRWBcUSfTbRjnJVoWX5loss/7e9bMkeLVr341vvEbvxFPfOITr3ZX5phjjjlu6LhYT6w5yri+69q3TQRZ3NgCYInqKqURFj5YWRph7eHEef4IRpRF2ANgjUCxfLq2saud0wKsQZv19qvlTmNMz/U+5JBqxAer2Eamxhp6X6GEV0gKLA19XfhibblI2AWwdN2owIrKKx8M3sXUfUEupBb6vdVfN2q4PYdH4ZYDCcxiUWJ1fCCezgd+zPGIiId7gxMn/ktafdCz4I3849bTmqFkOH4S0gLXLlXQU7N1S4SlFTjjIe0/3AHnOzEq75mh3leqWmoy1Q+QIJQCrGiYvuP7QfVGxbQJ8qX751j6PrWctuFYKgOuvEPvE4xrQrVBAVSEhghLY7Egi5uwwE04whG1WJjghUUIajdJTWyNaJ56LxDrxAEbBzA4pDFaEAgMD0c9Oqxj5TpVU6n71vaxcWG/fXh28KzOXZUZb4BZuSKrHDtfPDewWKBFG6o0MidPNBfGjmcoPxmWm/gXAcj45zCLyMBQE2HhEgIMG1g0aEY/o4uJG+2r4pd/+Zfx5Cc/Gc9+9rPxYz/2Y/j4xz9+tbs0xxxzzDHHHBcd17USCwFgoW0AK/5XbC3YmkEaofpgxSqEIYXQW0iKIU2kEY7Bq30VVBOqLp54vTVOs87FqMaQqbF03UqRlXt4DaCWVh7Mx8xw8sKKMCtTZAEDFVYOi3KglUOrGnDlaWs1wPKBstWqrXEPLEknLJRYcFGFddoKLjdq+OoPRD8TzyaqsFxIK9ywDa/nmOPyxfleoMkmpAMK0AEslybuQFJiMYuaauU4gq98GUOADYCGIPNXTh5rx9j4lIon6Dw/t42flNVjybAooIiGiqwplc82MFWvN2Yk77M0uI49OCiKLBlYUARYREATvK503Igsem/QsEFrxOdLDeIFegFtGC8XzPF7J2mZqsRqghdXF87nPVzywgoAKw9mX3wvGpTnkQSyBGBNRZ7WaUDggLU4Q2UKsAwbWG7QohHgRgIv+3BwuHDczEqs6TAwMGxgyBZpnUQJZlHAVjks9DDo4SMEnuN08Sd/8if40z/9U7z5zW/G6173Onznd34nvvIrvxLf+I3fiL/7d/8uzpw5c7W7eMUjr0h4qz0q5n16VY3wNiorze2qRvhpi/IcUN8IXdrTnSOqInpY2Olzmt3Rdl1dcFfsqj64qzpiXoHQV/MaU+5H25Tvb66rEd5czm9uKjtnlnbH+7KCYL1zdbVCvy6rI25ra1Dp8KiqRnimrGg5Rwr34f/notfl9bp8v9kUz3M8cuO6/jVAxgT1VVBhWQuoEkurEea+V0GRlauwkBu5m/0B1pSSiWkIrQbzTrWTqT87169VX3W/tz3G+livmy2TwBVKE3cKdyZpZCxyNRaAKdOh3A9LAVadXijL7bpoKwdrsH5QXek8G1RXFj6mEbZzOuGpwu1xgLtwQeJjWqFFd6gUkRvt9voce0WEWI7hgp9VnVKooZ5NvSqxesb5zmPtPDae0QfoQhD4tQi+WgypWHiu8zjfe6x6UeVEP6lYk5CiOTpQwieiDGSNfImcBo7ka0tKIMMFOBX3FUNPLheqKK7R4wQdNtzDRZAv6itNEbQkCqulMThuLG5uGhxZi4UVtRYhgb7GAI2OrRc4eBLGNLZtKJrNd7QOflhdqF7ng5oqXdRMpQrqvBxgMVw0hk9jlFRx8XPZ8rNIzeBbWLSU0hF7FtVd56W64gyxpsNk2rexUGN3izbCwpC8Gf3XDhHqiXWox/UQT33qU3HPPffg//yf/4Pf/M3fxBOe8AS84hWvwGMf+9ir3bU55phjjmsyPNNBH4B4Yj3lKU/Bj//4j1/lvbu+47qGWEUaYSsAS32wuCmrEXLtg1VVI9ypwBoDWihhzRj8GZjD7xsT29u6fPV6kM44tuzEtFHVWQW+FFwJyOICbOWKKzZJgUVBjbUtlbAAWCOgKodPGrWJ+BjAGnut7zWV0CLALHi01AeQlaoYzjEeHuPVBvNpCq8cm8wLy8DBoD8QxNrFak/7mOOREed7xknP2HhNqRumFAKpGqEJML7zjAvO4bzrsXIeG+eDkkvWaA1hYQRmeWas+gCxOo9NABqxkh8knXCXmbvJQNa+MaXCqkFW/gAQz8GolnPwWKPDik6wRgfHCvuDd5VJZu1NSKk8soTjxuDIEhY6LzN0X1qBfUTqicW40Ptghi6wSxVeWl2wxxo9r+HR7Q2v8vnbAJZGDrD0c5mqWigKIRurSopSTsCoeqa5MH5zjIeVupUwsDBBfUVUnv8JBg03ERY2pADLHEyJxUF1d6jHaeMnfuIn8IQnPAFHR0d4+tOfjt/+7d/ea73f/d3fRdM0+Ot//a+fept53HTTTTg+PsZisUDXTatN5phjjjnmOGzce++9eO973zubul9iXHfphC/89G8FFi2obVMaYUwXNJnv1TCN0GfQqnxQAWbyyJVEo4bpPDKtgkgXU1mw2P6+61Zwbes6+TQeX25isswrwB8nRRbKsY1QK0s3JABjhu55JUIFWrUKaxRqhWk5yJJkkHBBkqcOZqmBor4KAKswdXexSmFRxXAGWTH+4sN3wiHAq5Fh8UwCrULaYMdNTCHsuMm8sOSxLd1njjkuJt74aV+OP3/4Zvz5uRb3cw2uk+JKQ1MGu/B61bNUF/SiTAprSgoZU0xJVNGeYzWAFwVWbuKeZ1AYRgRbAswoLhcVWlV/PZKP1bbzMrL28pCiHQaGGRTS9loyaMMg9EGZFgssaEocQ+rwBWCj6YSAjFUO/QyVSZI6vjZ4Y+nyqnzLd9FrH4GQxujh0EfwRLApdTHUQtTqdakNHyoc5qnimsoMENlRI3EPDt8XiOvXvllaFVHN4C1KtZyC0dkPaxiL+54DYtWwGXSSKAoHUddxBKQNyBhYsxQlFrcJ5oa/mXhcXufxi7/4i3jFK16Bn/iJn8CXfdmX4Q1veAO++qu/Gu9973vxOZ/zOZPrPfTQQ/jH//gf4yu+4ivw0Y9+9NTb/cAHPoCf//mfx5vf/Gb87//9v/Hc5z4Xd999N/7+3//7l7I7c8wxxxxzzHHF47qDWFKNsCnSCGFEfRVuE0dwxRbgRhVXmTJLIQtBfLAwAn0q+DTphzXxfhRgTUGmfeO0AGsMyJ2m2fDjccpgXgFWbepe+F5l08jsNnS3ZrwyYZ5amHtYqSdWgk16B94M1FOpvWTgbsBoTPDBMn1QXynACs/g2Q9rIhwnFZZjggeFSoTpoVUIO4iBe8cWG7bYcAMX0grdoS5MDpkGOH/k13X81XqJ870R76twvpECfXJC03Q4xRrq1aQVCE+cx9r70WOTWVLiOg+sHMFzMvYGhhfauYl7DbC00p/CHgM5t2qKkgIsF1ICBbpQ0Q5QwrDaJN4Tw4R1GzJojKQANoE0LRDSLAE0ntB6AxtAc0sWS7JReQQohJIONob0q3fonZIBLIV8fdgva4CGU1qlAsAeHkzJvN3ACuSCgYGN8MoENQ8gSiupYlhWEfSaLkiizrJoo8oqgSqLHh4GhD6AMF88O+TVEBsEZRBRkUoWTfMzpdscAAVPREc9HMTrbE0norBjUQCpuTsZg4aWaLCEDepcTft1rIjxMGPLOFwa4Gmbed3rXodv+ZZvwT/9p/8UAPAjP/Ij+PVf/3W8/vWvx2tf+9rJ9V7ykpfgRS96Eay1+JVf+ZVTbfOuu+7C7//+7+OLvuiL8M3f/M140YtehM/6rM86Zc/nmGOOOeaY49qI6w5ikTUCraIPlqYJmuB3ldRYosAKqixNIxyrRJgDp0x5JRvcArAGnZOnUU+sMTXXqXZ897RRYFZvt4YxTNV6XK5Aw1UASR+sKzeW6YUIfmNcGbzn6YSlCsuaoeKK9oBHQ5AFAL6YnwOxXIXVGCfQKhq6u2jsPiuvpkNVWHkowFIVVqcpg6DgfdUEeJVglixD6PyB0gl5/Hi92LbmuH7jE+sFLrgAsQyBgnG5JTl2bYAvCmZ6RqhAGB7eY+UcHPtRMKEV6TZBxSNV/IYAK9wLAJBVHkQCWAr0NVVPPAOTGisHWH3UChEaNvAE2OyLIPfTypVCFgRLIW0v+FgtjKQByr4QvOEA/Ax6YlhPcCzm5araKoCU5wDlDFpI2qBWHxyLzqNQe6nhu07zLIbyHRz6rAqhgYWlFsm/ykaIZbNqdTIyLsIvIsFc5WdhIpDK1VYczlEOTvAVCb7ymYpXnZwofmYkCi5OVQkdZohVR4MGPXr0cKLAol7SRLGCZzHtN9TAUgtDDVo6gxbLDDby4HGIOKSX1Wna2Ww2+MM//EN87/d+bzH9BS94Ad75zndOrvfGN74R73//+/FzP/dzeM1rXnPqPj7/+c/Hv/t3/w5PfepTT73uHHPMMceNGr0H+ou9dh9pCxBPLGstXvayl80phZcQ1x3EQlBhifoqVSOEoQipCh8sg8LIvUh1y+FLBZ4GIGpPkDWafrhFkXXRsU3VtQNg5ctT9oOwhlk1z8qjqL5o8vccxla9sAAYVWGp4mpchaUPm6UVApkSa0SFpWmDOcjKgZamGA4rHKoHlkdrKngVFFgAZhXWRGgaYa7CAuo0Qk0ZrOFVE1IIw3zfwKO/qvszxyMv/qqzOO8oKbGQgL1FynKORu5qNt57XHAOjhkdu8LfSC6gKfhoiRILIPhg7D2VSlafQnMFVl7tT2GWpujG7L4AsDo4UVOFC/yGDTik8Sm4surBFV6nvhOYGY0RgHXUyLNuz3l5bg2h84wFy/4ZlJDNs5rEMzr2aI30xQZ/sDoYiCovrd4HBJhIJEq3AgQJ7MhhlCqrEsBKQEv2zQPo0FMfp1O1jHzuCYYx+Qw+GCAALIEsDnU1RAAhLY6igk9gvoCVPpjmuzBlDgkDApM4rXW0xgYn2PAFMeuHB7ODoQUMNWjoCAs6g5aXaPSzDccbQyHutTu2Z8+eLd4vl0ssl2WFsk984hNwzuGOO+4opt9xxx144IEHRtv9sz/7M3zv934vfvu3fxtNc3E/2++55x4AAtE+8IEP4IlPfOJFt3W9Rl6NEACWJlWXu8WU1QnraoS327IS3afZ8qxeVyNcVBUC69+RecW+faJef3nK9fPoqz+hWkFbVwiso65O2OyodphXS3Ru+wXQ0VG57eOqOuHRoyqVc/WlY8+Un5O5qfwcB9UIm+oGavU+X5pdPXCVl19VjdAcl8fUrnAf+X+L9/bOf3Cq9a+ncB/82cl53FfXA+uyymBdjdCfPV/OX8l8f75c7lqKe++9F7feeuvV7sZ1H9efsbtNKiwpd2SiCosDyIJB9MHKTdy9RapGGErkjcGqQRrhmEKrihqEjQKsMTA29dgW2TYG/dsCsMaWH1QRrOGUKZeJaqsJGBjXj15YKbWQTAmrxrywhqmDeyixkJatlVzDiobJpD0CMSQ/rEUAWSYDWQBCWuEcGjnAitNQphF6TibuObzqMiWWVCiUZQ8SfODHHNdtPLghnO8RIVZDmkKYvTfplOlYqhee63s87Ne4wBus0ccUsxxQJTNvUW1tQmqhektp5P5UklpHQwUWBGDZDBTJKVbWZSSzdcE7XabIGqYtGhCsoWjA3hip+tcaRAXWUSNG7Gca4MjqQ5RZSwscN4Rja3Acpi2MVCXUvekDwNp4BxdIEEHM2+uHrtN5Dn5haT/b4AKgaqaORYXlqYQVUp+uRYslGn3NS1iWi3BPHj31o+soANNUQpOda1Rx1atWiHRkXZFQKGOr/9Lnl44H+ZxSOuJ88tDQaoI99eiwxoYvoOMLcH4Nz8n3zFKLlo5xhJvRYolc06djyjhc5cfL8VXxuMc9Drfddlt8bEsNpPwAgpxT6mkA4JzDi170Irz61a/Gk5/85Ive35OTE3zLt3wLzpw5g6c+9am47777AADf/u3fjh/8wR+86HbnmGOOOeaY42rE9XcbxgYVVmOicXuuuop+WPo6U2El8CKga6oaIYBRkLQzFXAEYA3a29VGvXz9e23bNqr3oymE+X7yRB+n+pJFocSKYIsrVRZCKqEosVIqYYJZgIIsDFRYNABaQxVWrrgaU2UBGCybpxTKax+glY/wSs3eZxXWeOT3o9QLS1VvqsJyIHSh7mPHFo4JmwHM0sfV2Y85Hrnx4DpXEMl5ySKl/uSm5OrXtHIeD/Ma5+g8LIuRtyhC7Eg6YVAQUVBKBSVRHbXRep7qp8BJFWGSrIYCkCjA6uElJYt6GDbow9IeHI3GdX8NUrU/hUR6IlcopfCKEPbf6DiQ+IMZYMFJPSXG90HNG1L/1ujhuIVngYJN1m/dbk/ABgkSmgDsrAHgFYyJkqkL++fQgdnrGT1gqCUMJxUWwYpaigViOXRhvBQ62bCcwqekztJxlQVcNk1HW1IJ/Zgai5LKzRHAXvp+aM+mR0pE83t06PgEG38Onjv0vIH3wROLLBocYYEzWPAxWm6j2lBHU0GWG/lMrpW4//77i7vrtQoLAB7zmMfAWjtQXX3sYx8bqLMA4OGHH8Yf/MEf4N3vfjde/vKXAwC8F9Vf0zR461vfii//8i/f2bfv/d7vxf/4H/8Db3/72/HCF74wTv/Kr/xKvOpVrxqkN84xxxxzzDHHtRzXPMR64We8RMzc21Y8sNosndCIF5aauY9CLTOeRjgGsGowNDpvKmq4hGEbxbRdzekvN0L6FTcFsLYBtzyFcAvw2rdfcT0K3Yr7lxm8G05eWIQAsBAvznIVlkIra8YB1S6AZciLiXvMfSz3rUgnJB/gVZZKmPlgHZkuKrEEZEljuSLrgx++Ey2AlqRC1ad/1l/sOWjXf3zww3cWlQjHzNw7ttggV1uN+2BFP6yg1jpodcL5GvKGjP/0mV+GP3/wNvzvc0f432cFnjRAPBfkp1KFMkBKc1s5j46T/saGanQEgya80nWLozWYeTPrvO0HoEKnOiRTgeFIYM/GS386dpkKZfh3wswAUVQDpf1N21ADd8JQlQYkNYkPwlkBTEE9xohqKx3F3G9L91fHUeGgr07JyvcEhBFI1Us+qLrYoQveSblBuz4bFpQFIPNLEmDn4SEG8A4GphilMYDFRZIoqum+UIKZoIuzUqcxKuc05LNJkAWhP8sP/Y2g9Aqf3Of895EtPjKjue8utNyiRRuPE0CqPPqQRkgwMCYo5WiJhpZBaWdjKiEghu76aY0d/xcbl8MT69Zbb92ZIrJYLPD0pz8db3vb2/B1X/d1cfrb3vY2fO3Xfu1g+VtvvRXvec97imk/8RM/gd/4jd/AL/3SL+EJT3jCXn38lV/5FfziL/4inv3sZxfH71Oe8hS8//3v36uNOeaYY44bLbwnuBGV7MW2BcyeWIeKax5ixWqEtjJzz9IIvTWSPqgPm/lg2TotjhKE2QWw9o2xdar2T9smUwWysunFtG0gagxgVUBu4Hu1L6zTtqL/VQawLBcqLBAK9VXthaUqrPQ+U2FlAKsxHqWiygelVFaRUFVYmSpL0wctpUqDjXFRhZX7YR1Rh5YcDG3/sewB2K1LPHJDRyYHWOqFpSBrygcrGrkHgJWA1mGuJmZj9xs3PnH+GA/3DTY+mIbreQdJFeQjaErm5I7F0H3VC0xh+HAh3cDCYhFwlqURFU+IfeAVkJRMRqk+FMIko3RVOSnAUh8sqUooJ9qUasgFRBF4JKosDlJbo55ZYTyskTTDscj3gEhO3z681pkmACwCIuZjaLpgqLCYdi+Oe6EuC+PQhZTMjRcV1gadmH9nnlgmbCVP5wMg/lRE6AEY9nBUgiyN3BPLjKQt595XOcDKqxISjKQvVvhRU0znFMLxiEb4bLJx9fL5kAGRwMUFnUGDJRpuYooogFg18nKML4d/h2rrNPGd3/mdePGLX4xnPOMZuOuuu/CTP/mTuO+++/DP//k/BwD8q3/1r/AXf/EX+Jmf+RkYY/C0pz2tWP/222/H0dHRYPq2+PjHP47bb799MP38+fOjaYxzzDHHHHNcnpg9sQ4T1zzEImNEeWXlEc3cwy9lbvIHUhXCDF4VaYSkMAu7AdaYeqno3PT0SYA1ts7E758CZI21MQa3Yh/4dIqtqeVqFZhOj2mDHMc4ViHMXlNu6m4Yxgy9sAZ+WLkKawRgJXglflipvz51LutsbAepfVVhKSRbUJ+psEo/rDmGoV5YCrA2SCbuu3ywOt8UAKv3Jirm5pjjYuOjqyM81Fl0PgEsM3JYKcDaOA4AhbFxjJWXSoQAYLkJte8EobQk8CJXY6X2UoqdBydQFS4M40U4J9hkKjWWC2qkznv0LKmDmkKYp0+lVLqhXxBx2BYNlV4RYJGa3I+PjYYqtphkwBgk52oWhZchRkMGTYBCWrFQAGJK4Rwdf06qrz4ArDX3WKPDhlboaI3avFuUVEEFxWrYbuBZzu8MAw+druNSQqg6angFIIKWPqQmGthwLLQxxa0h+RQ4+9zVeFwVc3OkYzUPhhMPLDIw1MJQKwosOkaLJVos0GSqOXEnK8eVd9xguh7iG77hG/DJT34S//pf/2t85CMfwdOe9jT82q/9Gh7/+McDAD7ykY9Ez6pDxTOf+Uz86q/+Kr7t274NACK4+qmf+incddddB93WHHPMMcccc1zuuOYhVvLAspLjEH6F52bu3qoCSx9DFVYEVtnrGmBNVRAcvb6eUkBNAawBZEIJiLaArMF6+6qvRpbfCtMqUEUj00oVG6f0zACtWL2vwnMBsSZUWNb4cFE1psJKAKsxroRXYZ0atNUwK6URKhRLqYl5OmFLfXxt44Xm8INxEBWWu8FBly9AlvhgbdiiQ5k6uPJtAbDydEJRcBn0fCBdm+ZFHaqtOa6b+OiqxcM9ofPJsF0hSn66E2WQACytRrjyLqqeAE1BI7EDJxsr/tVeVUCWJpcBrKlQg3gPjrCJKPheMWPDDifoAkgJ5uLkQ1U8U1zga3sGknJlyIb2pQqhZyp2XL46k4G8fjVoj/PUqhw++XAzRavxAYiVFFWd5pjRe8LGAy2hUHrVI8JheeeBtaZMwmFNa3S0gQvoTj6HvMqgieOgn48PmlsPC8OiokrLh76OwBRVA+XpabkCKwdROu4LtILRCkVZgoi5Uqhu+0YN9X3Lg+FBZGGolUqEdIwlzkSjfsrUdik9U8f42k4nPE289KUvxUtf+tLReT/90z+9dd27774bd99996m299rXvhYvfOEL8d73vhd93+NHf/RH8ad/+qd417vehXe84x2naut6iboa4a22rBaXVyT8NFP6l91ZVyNsyuP41rb80OtqhPX700btx3q8KI99u6UioPPbbwrWVWS3tQUAi6paod2xb6ZuP1u+rcatacu2l8fl+zOPKpdfPrq8bLU3tdX7shqhWbZb31P1fhD5l1lVnbBel246Lt8/qlTa0K5qoO7a8ftzH/5/Lu8GqrHg1Sq9qasRnrtQvPcnq3L++ZOqLalKyBeu3eqEcxwmrv2Ca41NaYRq5t5ISaPC/0oN3VWJZRCrEubeWDlk2llBcAr0bINI1TJj1Q9H26eRx5ZtF1UF4/xpgMX1Po61jfKCg7NHkCGksTI5wEIGsBDVWIUXVlRglSqs3AuLJlRYOs0SoyGPJoNQANJzljYo030CWOAKZkkqYUonlFTCBQLAqn5AXPt/KJc/xsagTiMUE3cBVZJOOGXkLgBLlFgW/YGqE2o64aEec1w/8bG1wbme0HOpOMpPd8qYHEsq28p5XPA9zvEaJ6HqH4CkwiITwE8CWLFSWkxNFGPvXQArwqKR5KPcKP0CXcB5uoA1rbGhFdZYwVGuxqLiIr94KCDjtE25YSDKsNwLa0olpUEoKznq/kfjeEom9KyqKsdYh0qNapavyqt8G1rZsfccVFgbrOkEa1xAhxU8lyW2c5ClAEthh+UmTedUfZDCSMVxq84xufoqB1gu6uBcaMei5QVaNGjJDqBM/TnMkY7RGmJ59mCWcbVBhSUAaxGUbjYauudjOuUHdynBB35c6/Gc5zwHv/u7v4sLFy7giU98It761rfijjvuwLve9S48/elPv9rdm2OOOeaYY45TxbWvxDImmLibkEqYFFiqwuLggcUW0ROr8MLaB2DVQCnElDprar6+3yf1j/QKY+oX0Bgcq7cZ52UAiyaWn2gPeRembuBk6qsEsnKgFQCWZcBmCizDIOMFUIVnVWFZk1RZNZQqYRajNSn1bzzKFELdDxf8sWJFwpBKaMM9fFFd+ZBK6HBEvWwPfnAnLA8XzJRv1HAZvIrVCEMa4TYjd61imAMsDzGIn2OOS4mPrUQF1BigHWGiauTOSNBl5RzO8RoX6EIEIk2WRmhBaAPIUnCVP8dqfdW2po7mqMIKbSDAJA9Gxw4nWOECnR2sJ6bmFgRJaasVKgYc1ViO5VzH2d+UCpCtQfSsyqNWksg5WQCWJ6nAaEjSCCMUA6GhZLDeM8N4WduQfBUQytRLE8y1JKWTI7hb0xobnKDHGsy5Gko+BcNqsZ8AVgMjfljgoMqyCVntQRV8+C5R1ZVXU/dKiSWJpRYtbISZRJkKK/PFqhVc4/bxN1YQEQwbaG1BZlHLWbRY4BhHfBMsi9JNju4S0ArA4qhKvC6I0TUaX/RFX4Q3velNV7sbc8wxxxzXTTik34+HaAuYjd0PFdccxHrh7f9cJJd1NcLGAGrmbg18a8QHK1di2WElwmjkjmGaXwGzkKZdzsi3Fz2vtoGsXZGBljHgNskGxgDWltgGsFR5pSmEmk5IJqkAlPcMjNuz9w35TJmVq7DKdEI1bS8jVSnMjd2LNMLQRmM8WuOigbukEYoXFoDRFMJHYjz4l58NzzyZFpkM3MU9xofHhg08CF3wtYrVCJF8sESRVRq5SzphAlq9t+jYwLNB7w90sXfI2+I3xmFw3cYv3fll+PMHH4U/O7fEnz0cLnqJBulx+r73wNozNg5YOcbKif+UC/DCcgupY5eM3NXXKkKniajPRiZLP1QT9DAH4OSt5Vj64ziZTKuPk8f+qQUEgiUT1FOERmGLjkXY1tqJGstzAH2B+qhqSqsLDhS5nEzwHScwpfsXfahYlVYcq/l0rKorZB5kHmvvsOYeDi4auXNWpZRgQArJyAeVmdQjlGQ9igodgR1D7zDZ96S4mgpfrGvDVoICixdYosEipJUCAkABPTeWtQ7ztDcxn5fWrmectbn/qTG104SUTg0aKXGivmU+wFUAsGjQ0hk4u0ZrJI1QUgiliIIur8/lax9f96f4u9gWVzud8ErE2bNDID4Vs8nwHHPMMceVidnY/TBxzUEsWCu5snk1wsaUqYPByN23YububQmuFFQpwCrg1Tbl1SkB1j6AaO/YB2QF4EU8hGEXu91ik9vaqQFWljoYfbDCe/XAEk8sn3lhhaaorEiovle1F1ZK+8vTCdUrRaoRAsmbydAQZOl0G0CWGrq35NAa8cBaBA+ssTTCqXAAtl7VXocxdpGVA6yOS4DlQBFgrbgtlFdFGqH6YI0ALH3ePMLGco7LHx8/fxMe7i3WXnyegJTy6riEWJ4FYK0dcKH3WLnggxUAlqajaRphU/nyGB6HWYaoSCPMzdxVtdOQpDgK7OEMLEmenXOMjXcplZEbeBJdkaa45VGnrOVpW02W/miJouLKeb0DyGgN0HAJ+3KIxSwDqWosz0DPmoIp3l1+pB+EtD0PWdYTlQDLMTovAGvDDmv04oNFfaGIqiPBqtzvUKo2OuqLeSHJMBsfYCwVzYSKeWlcA3gKKrwGLVossESLI2qwNNImM9AjeJh5D8cK0fwjPp0wB1g6xvo+N91vIN5WPgN8FuKBBQss6AyWOAOLtgKOXDynY8LDUfCIOxDEuhHiUY961M7Kg8wMIoK7hvx45phjjjnmmGNXXHMQi8YAljEpjbAxyci9UR+sTIVFiM8DcFXFqVIFTzHvNFFUIDytIisHLiMAalcfd6YQVu0UACs3dA/TEdIHQRiosHJDdwCFEstmlQcb8lEt1ZAv0gjNADKFCxCWjeUpaflyCr9aknaTD1ZSY53mPrnHjeGRlQMsx8HAPQCsVI0wqa80jTCvPOjDaxdSDscAlnhiHUancEgvq9kT69qOj6+WoRqheDYBKc1Lw7P6ViEosDxOevHB2nCPTYRYkqoW0wipdD4aM3HPI4dX2g8FWAKzCC50jMgICOJUea0Pl+cGBi2WcNwJlqHyXMPV2ScHWAquVIVlKPWLIeoh9QJbWiA/8Tuf/s49yhslKm5MEEsufLcFs0Az5hJgrb3HxvsIsNZSkxC5B1UdPuI3B0cB7AWYkquwFEiZCFJsQB77X5wnICNVCVWFtTQWC2uCGk28vDr26Fh1fNv9sMZ8tK63yP3FcoCl8Kr2KwPk72QTxr/lJZhuhqUWLZZY8HH0wdLgLfpDwbkdeuonljhdqKfdodq6FuM3f/M3r3YX5phjjjnmmOOyxDUHsWCMqLGsBYfKhHkaIVuCbw18m1ckzFRYmQ+WwqscaI15Yp02pqoVjlYh3LO9vUFWpcYapEhu6+NYbAF5A8hXj2Xug2XSg2JlwlKFVacSqgorphOarHJglUbYBrjVkpOqWwBAJr42CH3RO7ecX+hl3lpFNUKHBfWixFIT+OAvYylVJpwCVo+k+5Y5QnLhF3muwHIxfTAHWCW86ioT9yKNkC16L5+X+GKZDGAZ9P5AWHBOJ7xh4qPrJhm5m2l4pcbinWesesZ51+E8NjGNEJD0J00jzKsRAsML1H0AlsIkSySVEhkwhmCCqkkgD8eKiKrkMTCwbMO5rBOlFvnRlK08iBLIaowCrXRK7z2jZwFJmhKnZu86Xo4FUFkSpVaebuWCCbsLqYI+nhspqGoTNFPlGwLIGgAsrwBrg466WJFwTHWWxtyFBMKQTkhePldKCi1JIK8qGZJULtSkNKCEMWOhAMsGj6aGDBbW4MgSVgA6JxUVJRUyqbCkn0MYT2zEy+kRFgqs9LVWzlTPttrPqoEF+BgtFjK2AWDp5zGlZFMvLAWVfKAbHpoef6i2rsV43vOeV7z/7d/+bbzhDW/A+9//fvzSL/0SPuuzPgs/+7M/iyc84QlXqYeHjdNUIwTKioRPaKplq1Pula5GuKti4Na2qnV3VSus5998fDpQXFcjbKuKgz5rv65GeNNt5Tl/eUvZ1uLW8oOoqxGaZTmfluVlrblpWc3fXlGwrkCole4AgGy5o6Za1xyXxxDsKX/X9uW4uw/+bNncX3vx6dq7hLCf/X+dann3kf+3mlB9l1f7xtX7vCKhP/twuey6K99X1Qh9/f4hqWboTsoqhxcbPRP6AylXtJ3ZE+swce1BrACr1AdrkEpYVSP0DcJ7RIA1mjY4BpkuAWQdOgqQtXNhDPbjkv6+dq1LnMYuqLDGAJamEcoFDY+qsPJUwkFFwi1phJoKqPM8E8BeJF/hznweuQF8nkZYq7BacjDwMZ1w37hWf7ReatQASxVYY0buCq80lXDl2wxupTRCz4TeBxVWSCvsK4DV++0X6XPMUcdHVyamwCmwUYCSV8XzAc5sPGPlHc5jg3N0DkCtJEkgqCUTUwf3SRHLAVahjDKixmKSvy1iAjGB2Qc47LFG+QOtQZOd4zv4CrqIYiudtKnYXgJYJqQT6nhsgg+YcCtV0iBWF/SQ3+/GCGjTv0jP6VzQeT+pOsm/RnTcfVBvaSXCaOSOTai+eIIOazh0AzhhMnAnqjQPwy7ARyvfA0GdIymFLo6UKus8A6DdtxtSKmIGsLiNKqwjS1gYSY0EMICPuW/T6NgcqPrqtRAEW/zdAChScS3E0H4TxqeHXKxYbtBiUSi19G9FU2nrMVRlnM9GWdub43Txy7/8y3jxi1+Mf/SP/hHe/e53Y72Wi/OHH34Y99xzD37t137tKvdwjjnmmOPGiNkT6zBx7f2yMgKwxPtKIZYBbFaNsEEBsGpPrLFqhHmMVfDT6flj7zgQBLsoEHWZAFxSqvFAecXR/6oCWGrmrn5YIyosoEwlVC8sVWFpGmFKH0xphIayyoLZ+9y43dLwUVQ5jPCqxyIYui9CSqGqsLbFoSpUXMuhl3wuXryqeoomjdzL1MIyjVBUWWLgrgCrC1UJe28C2DqwEutQjzmu2fjYinG2k/Q4S6niHmcAK5qR+wBxfI8LdAEP0yexonPosI5pfAKCkqdUDop8SP/zW/KGook7AdZQUmQZgUqqzGpNSHsMqVYndIKONjGtsUWDJqvSti3qVEJLQUll0msAYAhIWvkeK++wcl4M1j1Cup88qxpLYaAq2lycp55YtRotjEF4r6qtPku9W7PDhnus0aGjDhs6wRoXBEJVIC8HWKpyYnj0pImXLq7nSVCWq+BGE2GLgpBd6YrJU0uURQ1akjTChSEsrHyezEAHJ0oydNigQ4/Sl+uRGmbkJ6MCLBPwVks2glUPj47ks21gcYwFzmCJYwggbMN6yX/OR48zfa/Pnjx6dPFzutTQ4/tQj2s9XvOa1+Df/tt/i5/6qZ9C2yY1ynOe8xz80R/90VXs2RxzzDHHHHOcPq66EitWI2yaVI3QGLC1AqOsVCH0jRH/qybzvzpFNcJBGiFwKv+oos19pl9E7K3EupjUwVq5pdNGgF1KbeQh7ItjmuAWUTk9gauhCitPJRxTYWkofLrUMODSzF09sALQWkQlVvphnMu685/sdmScP/jhO4tlP+ezP3LJfb5S8Wmf+eHi/V98+M5CgdUFBVYHM6hEuOIWK7+I8EpUWE32Wqavgxpr45sCYG28pBdufIPeGzh/mOTM2RPrkRv/6TO/DO9/8Db8+fkj/J+HCT2lv09VG3UBVnW+VGF5Bjr2hcm0Plpu0YbL6dzMfUyBpel38X12Ys2rEQIB/gSJk6br6bTec/SVagrFEQN5miMsGpZlFiG9rY0qKvHashDlWGsIraECYFlD8GCQS/3U7RpdhtIYxrH0jC7sR8clzx3zifaZOrgGfSlVUdQ5PXp0YulepBASGSlwS7n3Ul77MLRH8uEqUNkHaqhtf91Ova6YurdY8hJLtPHTlSqShD6kUm5TXk1NX9z3HPShlmFPPezj/nhnv6+VWDzuTwEktt/c9xwZA+okzY+PACxhM4WVPJsIE+vPUSAXg7K/OUkP5ZgumjzKDBpu5PfGoe4u8AG9rK6D74r3ve99eO5znzuYfuutt+JTn/rUle/QHHPMMcccc1xCXH0lFqkHlilUWLAUzdy9zQBWNHJHNHFHBbD2qkZ4GoA12fdq/UsAWVsvmKv90W0eyly+DlZIlb/XfhT94vjIqw/G2SNeWNZwocTKFVq1FxagMKuETHXUaqz8Edsljr5X6oXVUi8AK6iwyjar9yNj/UhTZeUeWB3EA2vNFiu2WHETwFVbAKxiWpFSOARYa2+xds0AYCnUupHiwQcfxItf/GLcdtttuO222/DiF79454XEP/kn/wQUTML18exnP/vKdPgaiFXXwIWqowsLtCZZTojqSlPmGOd7j/Odx/mecdKLmfvG+5i21KBFy8sIsBYhFQrApOFz7n2Vq0eABHbUIwrQCn3Sp7XzMZ1vFTyV8mqElpuwjscGXZbeZgJoW0SA1ZLFkWnCw0bT8QJeBYClr9W3Svqaq8TScrkRvIeoqTbBlF2gG6JCLYd9Grl4MVdyeaiJveilHIm3kUOXAJYmAFITQZI+FD75YIM/FQPYlfl2UfBeypcZ8+AyLJ5kLRosgx8Ws0DRTUiLdDvIB5MvHkX7qld6BKQXispqjRM6jw2t0KED515p4UGsIGv4JVqoHaPGrsuAlv6NWKkUycdY8PGgnTl2x5133ok///M/H0z/nd/5HXzu537uVejRHHPMMce1H3n15kM8APHEespTnoIf//Efv7o7d53HVVdikQ25FaECIYw8WH5Rg5v0cAsD3yCkD2YqrBxY5WmEVdQw6xAQaAB4LqLNAmDVv4+n+qsrjWxPZ13y/mXjOGbyPlBn6VOAUwAGXli511X5CBdtuQqqvgAYIX3RH2tiHV1mzAvLgsXUXcFZ1b5eZijAiqqPbBn146mnX4+xy8R9xW1m4F4CLPXAWrMAKwVZOcBSD6yNa0SR5eS98/L6IJFfSR+ircsUL3rRi/DhD38Yb3nLWwAA3/qt34oXv/jF+K//9b9uXe+FL3wh3vjGN8b3i8Xi8nXyGouNs3AswOXIDj2wOgY2Hlg5AVe5p5Vnxpr76CdluYnqpkXAJVqR0CNJj3TdfULNzS2J/TirJxRSGp6m4jkWNyUDilX0UipVCQJy0/kFWbTGJJhEKWWxNQhKLIFRCrA8Eajy0ZIURDWgB9Q8Kxm5yznfOS5+eBkQPHEB+TTlMH+fh5rY98HPSNMAVc8ECIAymcm3bMvGeUV7kKqNp/37bLiJaWk5wMpN4QWVSKrbwojBv2cBekBQ8/G4ATmACK3yz5DJDzyxzM7E9Ws7iA0crbDBCTa4AJCoG3tO5yPBdRYNuPgM87Gpp2lKphr429iW/NizAOhA8qkbwdg9j5e85CX4ju/4DvyH//AfQET4y7/8S7zrXe/Cd33Xd+H7v//7r3b35phjjjlumJg9sQ4TVx1iqQpLzdyTcbsJoCpUIGzFA0uUWJBHlUY48MEaU2EB45DrIn4UF+vmz6dZdRvAymdVAGuqEmLeXl4mPU0caXdX3lQB0splU8ogKniF+FreJ4+sbYbuQJlKWKcZ5pEDLAsxeffVDkffrACqVIUlKYaixBoDX4NtbZmXg6zrOdTEvWMDB4oAS43bcxN3TRtUgLVWBdYWgLXJQJYCrC6AifpzeyTH//yf/xNvectb8Hu/93t41rOeBQD4qZ/6Kdx111143/veh8///M+fXHe5XOKxj33slerqNRWrXvSYhoBF+IPsfHruPGMd1E4XfC8QCVolTSCKC+CixbJQNzUhhS0pkSqgPVKBEBgqtlTlhDyFMQIsH/pQnm8sLBCmqhJF3IVsULE0AtoCwFoGiKVqKkMCr8QLK4Epa8LXGolHlsn+xBR+tSbwKw/4AOEUWHUBaolHVkpBBCeQxUUaYZlKyBlEdJxUWD31cAFmMXtJIwwAKwdZY/5LYt6epV/uce6WKoWpfmDZ3lApZcNYL0wyFe+CJ1gX1HzbFGFlqmFKUdVqiYARyLmz59duGBh48uiwwso/BDIGHY7hcSYuEwsOVL5XU6E6LEkX7QC08nfH6lJGAeZezyN39eK7v/u78dBDD+H5z38+VqsVnvvc52K5XOK7vuu78PKXv/xqd+8gsTRl5blt1QgB4IlZRcKbqvtoj1qUf+NNdTqqqxHuqia4q0Jgvf6iufjj/PTb2n4eda5sz+6oxGiq+fn7XevaZfUbflHdAFiUH5S5aVG9Lz9jNHb7+x1BR8vpeVV1Qrr5zMSSE9FUl+B1xb4q6mqFdVzJ6oWDbd/5D4r3dV95XVYK5E+dLd9vsuqEVbXBQTXCC+vivQvVCOP7szK/Wx2mOuEc125cfYgVVFjDR6pAqD5YCrDUEwsKrQyl1zXAClGkGMZt133B/r8saxB2qQqvse3WKqgAcw52vb+tnWosC38sjE+P3aT0nFIHSxWWGrrHNMAtqYTbQgGXZ4ogKw9NNayrEWqlQlFiTVcnzOGUXGrKoXY93Hk9baiJe1JiJeP2XIWlKYM5wNJpdRXCGmBtvIXzJj47JgFaB0onJOaD3ak/VDt1vOtd78Jtt90WARYAPPvZz8Ztt92Gd77znVsh1tvf/nbcfvvteNSjHoXnPe95+IEf+AHcfvvtl6Wf11qsAvA0YBxZAdg+QBdmMSbfeMbKOZzjNRK2qFQeQdFhgwKrIYPWmEK1NRY1wNLXzCgu0k2Ypgqsle/h4CNE6+HQBFjThItzAR+SRthTj4YBDxOS6WwwzBaAtbBlBUJVXMUUwQCwdHrGmUCUjODVE8uQACxHJDceOBmzq4+Xhg2ELldb+WILSR0X34dxFWy1TkosFjWU+ihJ6uCId1WmmDIw0CqEO67TRj47STL3QYWlCqx6uQYGiwALHTN6ZklFZY8Nu7hmHernpDBG+ozB/pig+bref147dOh5jY07D0stOroZjtXfjGCYggarBFgcfLBUFRk95Eg/mQ6gFoYdfBg9LXhgYdCiHevOqWMqbfhi27oe4gd+4Afwyle+Eu9973vhvcdTnvIU3HzzzVe7W3PMMcccc8xx6rj6xgyqwrImU2FRVGGxoVCJUNVYQyWWApdRgDWiuppSMenyUzEKj7LtXbRP1T4/gGqANbIPUbC0T0rVIUBYAFiFCitTXMVu7qnCOk0qYe2RFVVc8MUDgHheBd+rRahG2FKPFqkqoc3AWQ2zCnP3iaF4JPhjOZQm7gqvYtqgz/2vWqx9e0kAqwtphL0z6N21W53w7NmzxUNLk19sPPDAA6Pg6fbbb8cDDzwwud5Xf/VX481vfjN+4zd+A//m3/wb3HvvvfjyL//yS+7P9RIrZ+GD6nFhgKXlCJn7AF42zuOEO1ygCzgfHhfoHC7QOaxpHdO9anVTSylFjyHpb6P3FcL2Rv2w4r0UmeA4VOWDVORbY4M1reNDAYpWaAMQdFjrqOTJqya2JL5XC31YwtICCxteh5TCHGAlfywBC3mfLSGkIAYIlu2ni+NZ+kDJjYmhqkaURRXcYk3ZCn5Y1Msj4rwOPlQlpIivWkE8wSdM1VlpOxd3+4DYRG8sjTE1FbEJvmMCC0mrEQaA1YXebwsOmCtV1ssUyWzi43oOE2BgxxfQufPo/Elx3MoyoidUUFuDrLHwpM5YY4b7Bktq0JrD3PDwB35cL3HmzBk84xnPwJd+6ZfOAGuOOeaYY0dcTU+s17/+9fjiL/5i3Hrrrbj11ltx11134b/9t/8W5zMz7r77bnzmZ34mjo+P8Tf/5t/En/7pn17O4bim4uorsYwYu7M+WgvfhIqEbfDDUmBFKHyw5EGlR1OlFtoGfSYjV2TVaqi63V3tTLWxY3saW7dT3gAfbnekH5Os5TSgb8vqdVXC3Lw9fxBNpwmORUw3o+GPf00rnPLMMlAlVkofTGBrmE7oQAXIkrvpOm86HJfVCmMfstfXcvXCFduiCuGGy4dCLU0XzCsRrn2D3sv6+XOeQlgDLOcNnKeoyLpW43GPe1zx/lWvehXuvvvuwXJ33303Xv3qV29t69577wVQAgUNZh6drvEN3/AN8fXTnvY0POMZz8DjH/94/Oqv/iq+/uu/fut2Hwlx3llc6A1WnrDxwNoRVg5YOeCkl1RChS2qvBF/HQuGk0vpkJ5nYSNsAspqhAQ1AxelU67A0gqEAGBY1CTMgCdGzwncdN6j88k/qYeDoz5Wp/MwcZvJI0gu+5uiaqIYjC9JzNsVXuUqLKN9C1+Fmlaor1sDLAzhpobgfAtDwJGlIsXQENAQ4MJ3W2t0JBD3XZeLL8JpU+3SY5U5TqmE4gs2fp6vva7yyCsH1qqplKi3PXIQWMAVNmCyUdmlkMxygyWWaALAag1JGqgX5ZqoAAmM4O1Fw2+DfJu7ornvLlEzkWjUYv9Cf5rH/cnONq5WdCQ6soaOsGhuwcLcjBbLMNbZzaj4dygpvXq8m/CjhyO89cXfgeWmqByqhRcotjnHHHPMMccc12fs64n12Z/92fjBH/xBfN7nfR4A4E1vehO+9mu/Fu9+97vx1Kc+FT/8wz+M173udfjpn/5pPPnJT8ZrXvMafNVXfRXe97734ZZbbrncu3HV46pDLG5CZcJGHmwNuDXwrUnVCE0JsmpoVSugRqsRjswbu26mEZg0CbBGVF/DBqe3Nbbc+DZHLgIygDXFgqbSHYt+7+GHNRjzYgPZ+pniqgRZqAzed8MrzwaWHDxL8t4uz6k8rTBXZQGQFMLoh+WimftY+qAYR2v6keyepfJO67a7rkrZ8/7ue9F1tUMBlqYOFiosXhTwal1VIczB1dqLcXvvzcADS4GVAqzeWUkL84cZHS2Yeai2AOD+++8vvmyWy3GPhJe//OX4h//wH25t86/9tb+GP/mTP8FHP/rRwbyPf/zjuOOOO/bu35133onHP/7x+LM/+7O917me4+HO4MQbbDyw8YS1B9YBYK0cY+2l6p8HF/5DgIJo1ftUqhAu4b4hgmeOAGsAr1Rpla2l5uUODOdIqg+yRydOUFB9iap0aESpYyBV3JgX8eJ9iQaL4M+0MISlFRWWqr7U90oBVqiHUqiw4MUIX7znDAwBx42ouIqvBZJ0QSZW8yvUX0wCsUKKYQBZ1qSx0RFRRZYvvh4MiPRTSGoafW8qldQQXrkwTun/fHoeHjxQzao3FsMA3IiKGAaGkwpsiQZLY6NBvvUkyjYWVZbuYF45Lw/O+iI6JDMJXSSN1MKwB6jd6rN1rcUaKwBAS8dg67Ckm9HyUiBfBi2JpC4kWGtLcvh70E+RIuQFBDCC2gHAsjCwZGCIDqZ6Zuair5fa1hxzzDHHHHMcMr7ma76meP8DP/ADeP3rX4/f+73fw1Oe8hT8yI/8CF75ylfGG9lvetObcMcdd+Dnf/7n8ZKXvORqdPmKxlWHWDAG3MjDB3il/lfRzD1UIyyglSmnAWmexjb11BRUioIfHllmBGDl86ZiG8BiKi+6p+DVZBsTaqwxsMb6fmS/DhU5vFJopeCqMbn3VVmVUMNm++wyIOVgAB5WMKxDjdzja/JoTR89sMRzyydF1hTMytRYF2PcPrbOtX6JMgWw1Mi9hlcr30ZQpeCqC9AqB1i9N6MAy3sTABYNjEMvOvZJpT1NW0CU8e6KxzzmMXjMYx6zc7m77roLDz30EH7/938fX/qlXwoA+O///b/joYcewnOe85y9u/fJT34S999/P+68c6j+eyTGw71Bx0DnCV0AWGvPsRrhJlM+GRh4lrRkfU+cEFYOsnzQg+TXoWMAK/e8kvVEjaUX53q8dOGCXVPPPHyEHlodz7J6dHFMrYqVCClVyGvJYmlsSB1MKYSU9SOHV4TkcxUhlhGIBYiiiCHpmE1YznNaT75bw8QAy1RJpUDKEgGG5evJiJ4qN41Phu4I+zcepkoKV6AkFRpdTDuUNlMVQxn77Qbtw22ZoLwiAC2ADuAmwivLFk0Y79ZQNMpXNVbnKWj30jGTq6fy7YSR3kuNJVUKDcCn8/i62tGRpDC3OIKlFkucQYslKKiu5G8m87sCwSFXPMrnqsivULAx0MCG6qGpcqim+x5qnDwPK2leSltzzDHHHHPMsU+cPVsa2y+Xy8kb5BrOOfzH//gfcf78edx11134wAc+gAceeAAveMELinae97zn4Z3vfOcMsa5MD0IaoaqwLAWYpf5XNKxEaFIaYeGFpTGlOqrnbYmdAGtquWqd9Drewt1jW9vhVQRsCrAqkDXop95ArpeZgEGjJvhTwXLxp2mEQAJZ1vho6K5AayyVcBuU8gjEMlNjaWrhlE+WwitAVFgWydh9EWCWzje0HYzlqYSnhVBjqqxrOTSFsAZY6n9VpxH23oTpJgIsSR806INHlssAlr7vnIEP7wVgGfD1dAV3ifGFX/iFeOELX4h/9s/+Gd7whjcAAL71W78Vf/tv/+3C1P0LvuAL8NrXvhZf93Vfh3PnzuHuu+/G3/t7fw933nknPvjBD+L7vu/78JjHPAZf93Vfd7V25YrGwz1FT4HeSxrh2gErx7jg+qh8UmgFIIIsIPlLmYgYApBgRq6WqdMH1QRdpmXLcVJjeRZYkyrxeWyCCqtIIyS9jHdgssHcPMGOBg3AkKqJqsDSNEJTwqcaYuXPKZ2Qw3JaxVDGROfnAIwhyi54gAyFIgkAMynTgmcOvmT6xVMCrBwMMKfqhGnMDExQYxEZGBaYVacWqsF3rbLSohrp2YwCrTHXpBJsip18iwUsS4JpG9I2m6DCUoBlPaEhCpXyUvVBR2UlKQoARmvpyTZ3n9dIre2zr6B9qi5ezeiwhkWLBY7RcBPHEdA6myYm7Bqi8D2OmIpZB2f7K1CxKSqHFlD5Gk49n+PKxt98zN8q3n+aLavFfYYp3z+uKSvZ5RUJb23L34CnrUZot/yOBYZV+ZZV9UFTt7ej2mG+vK9+P522+uCmL3d2UZ1T676bamyWR9uMNsr163V3hb2prd7vqEa4K/qqrzvGRr4UJepKhXRTVY2wrja4sy/bqxGeNvKKgFe6UmH/528sJ1TVCP3Zh4v3g4qD2Xs+vyrmubNVtcJ1OW7dg+X8/iHZdrce3mi6mOg9Rr61Lr4tYH+bEgB4z3veg7vuugur1Qo333wz/vN//s94ylOegne+850AMMjguOOOO/ChD33oQD2+tuOqQywOBh5s1QcrpRHKI6tGSOWjgFeEodJqQnF0qt9A9Tq0fdpg/8YA1VQH9qg+qN+TA5A1ucLw/U6AVb8/RX7WmAqr8MRC+XpXjKmxtqUOKsAySM9tqEDYUh8N3UWBNf7lpSmFqsbK0wq3xVTa4PVi+p6btk8BrNzEXQHWxjcDgLVxFsxUAqygwvLhtVc1lqeDQazLkU54OeLNb34zvv3bvz3eQfk7f+fv4Md+7MeKZd73vvfhoYceAgBYa/Ge97wHP/MzP4NPfepTuPPOO/H85z8fv/iLv3hD5L0DwPle/ZbkWSoRepz0DifcFYbb6p6DsCyTjwhLjaYBTTujLKVvHGApvNoGtB1LBUJNIRz6YEX8EVVYpReXIJlFsHqP1QhNUmGJoX15Wq9TCeU1R78sQC4iWqMphWkcpd9JkaXKLfigRuMA6AI8pADDes+wRJNfPR7qD8ZxnLeFCSosWdalceIelPkg5gDLjgCssg++UEPlYLMhwMMEWNKigcESTTTOb4NJfudV0UZRCQSEynyVEstAUuF0P+KxNGHinqe8yv7YeJxc69FjjRZLtLzEMR+HhL/8b0rChHHrCrX5sLqj7rPi5Sa02JDB0tTVKg8Tl0G0O8ccc8wxxxw7Y1+bEgD4/M//fPzxH/8xPvWpT+GXf/mX8U3f9E14xzveEefXXrq7/HUfSXHFIdZXf84rgLYBt408LxpRWynAshgCrFqJlZm5j6mwRtMILxVg0ci07P1YpGWqnzhjIGus+uCgwS3NBJi1K41wAKVq8DcVe4zbEFrhog3dRW1lwl1zKtRYtYn7VoBl+uCH1cfUQU0rjO+3eGPtm1ZYe2ZN3Wx6//0p9csS8NeuotH7H9/3OHRssFLDdmjqYDMAWKsMZGkVwjGAtfFNAFYCrpgpAqzeWTFyZ1FfeW/gHIED2LqR4tGPfjR+7ud+busyuc/K8fExfv3Xf/1yd+uaih+/5QX48IVj/OXK4i8vEB7OcnYMETaOseoZK9/jfPDoUbWVAqEcZKkKi/Q5fMkLFBMPLGAcYKl5umwbgJfzpQJqBiLA6tBH428PH8GEpslpSiG4TIMTCCAX7C3ZWI1QAZZWElyM/Knk8IogkIYCxCp/yzAcC5zpWdIygQTBFGSRCcoslnOhU3IIVXKJb1j+9TMwdM9ep31M/lcEkYPlKqwImgLA8nAAO0S/LEoAq04x3BY1zFJFVhMMw5dosDAWS2MEYJGMoQ3m+dYwTJby7MnHdELtm4+fXkoN3SfkuLRQ9y9VZfX3f3GRVnnT4/58r/YuRzzqQ1+Jh+hTeIg+jgvuk2jNGiCg5RY34wgAsiOdS5CFMnVX/a/UP0xhowIsyzYqEdWfLHqsZWm7c8wxxxxzzHE9xr42JQCwWCyisfsznvEM3HvvvfjRH/1RfM/3fA8AqXie24p87GMfO5W/7vUcV16JZUV1hZA6iMbANwbeJi+sBK2oMHPPqxEWaYQTMKsGL1urA1YxlpI3Om8XHCMenzcAW+Vz4ZXFad7g99tYH/JpE92aHJvsuQZevAU+UTUvf1+qBrb/AnUsn6+qtNTgPc4PP/drkFVArQxkbVNcnSb04mJKVaXqgNPE1VZo5QBL1FeLzMi9TB/MAdY2BdYUwIpG7gFYKcDy3oAdwV/DnlhzXJ345HqJh3uDlSN4IPosOS+wZOU4GrnX/kMKOFSRVauwkrKqPO4KD6wRgAWUpuWOpQ8dO6Tqa+N+TZT10mSAw4PRBLTTQAysj4zFUUgjTGnUiNApj8L/CnJeFL+u4LOUq2AY6FmM8TfBVywHcZ4RvcF0Uy6osVRdpdDPcQJX+bg4ZvQslSJrtVk5FhbIDN195hu2zeS8NoUvx9rBohEwQgl+jAVVn4FnKQ5gHcAwaBywClUvLziHlXc4QYc1reHQgeEhHlAJsnG2B7Xf41TkY8M55Mz2dR9QdzljiQYLPsIR3YzerNGQqLCa6idkWTCB0cHDM6Pj5A+nQVoVMvhf5ZVD21A/NA8dp0OdlmdPrDnmmGOOOa63YGas12s84QlPwGMf+1i87W1vw5d8yZcAADabDd7xjnfgh37oh65yL69MXHmIZYyYuVvxwvLR1J1SGmFIH8xTCMfSCSdBVQ2canUWJtYbmzcFr7LnvdLztgC0qWU0XZCAAmQVr4s+VP1CuVzs57Z9qvtUbQexDY5tbVMtKsyqIddYqPpKTFlkBwxxBFuqxgLVlsASCq80TFBcTcXYPLksUeXVMK1wn0uJ60VTVAOsGljVKqzCA8vbgQLLMwX/HBoFWDGV0CWA5XuBWNwfZtSul3TCOXbHJzYNHu4FtgACVXoPdJ7RhVTCzivEIuSpa7XHlQIsVWHpdCCd2qJSi4CGKAIsWx2aXmEas/hwsdRb67fAl9zjKIcwGhYGS2rQkgk+WCmtTb1ZHAMbLxAq9jmcGlsDwCR/Kh+UuWqNogAKEAXWJniKrdxumK7AKsKt8N4xw2WfTT4+HB4Kshi+8D1SQ3UPVwCasfEbG6+t/SUPww49ghIYwdMrqrzGPyOGpEle6D06L+fxtfdYOYcNC8Ba0QnWdBLVUfKzxAR4lkOx8tsiVyLtGzou8tGebgwOHS1ZLHmJjm9GR5JKaNEO/s50rxks6b0MdEBRpXPM8D73JWth0ZJ4YdW/LWqPtUuJGWLNMcccc8yxKxiHTWMHgGc+85mw1uJlL3sZXvayl00u/33f93346q/+ajzucY/Dww8/jF/4hV/A29/+drzlLW8BEeEVr3gF7rnnHjzpSU/Ck570JNxzzz04c+YMXvSiFx2ox9d2XHGIxdYAjZXbxo0Jxu3yKIzcLWVVCCdUWNrmGKjaJuyYUk/VKqQt65bwaQvA2gKxagP1uhVdhfPV8ze7ANaW/Rkdq3pcdqjFdoWCq13VBPeJMZBlRkqrAyhUWLoNNd10IOQ2kWOphDnIitvPQJZs4/oPBVhafTBXYdVG7nkKYV6NsE4h9Op7xVQqsJyNlQjFAyvAK0dAZ+QxxxxZfHJjsHICbhSMdKEa4cZ5rL1DH0zUAb2ILkFWXokwQaoEshIMolicIgdY8pUjS9V19oI9ezRxZwy9fupIYKIENwaElgyOG4sjm6rjNUZN1FX5pe1ov0NVQaTpZCjA//TDS9RTUplwHQ3xgZOeiwvwZGAf3gNJBRdVWAlgdSNX7y6osHpO1ReH3l/IXps4DuqHNTp2wRC+Hss6VA2V1LEhLX0XrENQ1TngxMl3y5r7mCK6pjU66GMVNXcKsqQNJx5e3IUjUFLk8uNCFVeUgampSoai2Lv658aFMVi6Bh0v0dHNYubOopfKQ0EWV6mFCrC4unGkaZcNLJZoo5F7k1UjBOSzUYDF+/1kmOMRGl/x+K9FQ3Lpcqs9KuY9msr3j99i5A6UZu61cfsuI/eFLY/l2gi+NmpvKwPx2oy9Xr7ZYey+zSy9NlqvjdnPPVxe+h3bqoBG1V69ftOezvjdZCb2tvoMqo9od5y2UlJl5D4Y1dW6eEs3lcUAqMmUv/UdrUHfts/nHUbudFpj+C2Rm7wDGJjO28/+vy6p/f59/754z+fPV++njdvH5ruzF9KyZ0tjd64+w+7Bcv76Y6WJ/Cc+JJ/DucP65h807r333r3SCT/60Y/ixS9+MT7ykY/gtttuwxd/8RfjLW95C77qq74KAPDd3/3dODk5wUtf+lI8+OCDeNaznoW3vvWtN4xX7lVRYrEJ6itVYTUUqhECvvK/KhRXpgI/hCHA2ga3TqNA2gGxctBzKuBVjEUGm8Yglw8XE/lZd9s+ZBczk7BtC7gr28yulsb6vkOBpVGk/FVfH7kSykdIJUvmaiy9CAEUMKV1piCYLn+adMLc/2rX/DFV1tW/1DhdKMCKhu4+Aa348AlgSbpgAlgbZ0dTCBVgMROcmrdHHywxcfeewM4AvQEcgeZ0wjmq+Ks1YjXCHJ5snMcF3xcpfIKds/MJfFSv5NUIky/WeCjksqQqJ8rUTRRBllbec5yqEOp28+AR0F4bf+vrxhCOLOGmhmCNVnaT80qv4IglndJk519NI1SYpcAKkPOvwiuFYD1nVR17gUy6n3GbwbSdKalMpA0uQdYIUUjqK0RvrJgoSGVqZa4wSob3DlqV8NQqLB1/AsBNBFm72vFgGGaskVR1HbpozN+FFEKHHh1W8Nyn7VRtM3xM40zbTyowjookbWK8b+k4kSP4atq9tyRKQcdLOD4DYoNFpsTKYZMBwQUlloNDR5s4TyM3vTcwUYG1MFKRU5cx1R/qIZVY8rdyuLbmmGOOOeaY45Dx7//9v986n4hw9913T1Y2fKTHVfHEkisEyX0YKrGQqhHmZu6GSig1BbB2XAtPwas4j8r3Y4wkTx/cCr0GYKicpwBLYN1wQwSKIGvyR1Le37FpIwBrq6dXDq+yYF0/PofF9lBSqal7Me2UP/u8KrAQHG5o5OJQFVjqJ7IjnTDv31S4MDC5kmsbyLqeogZY6oOVpxHmAGvtGlFiZQBr4ywcG3SqtIoXzCl9sA8VCL0neCdAi31QYTkC9QT0B4JYmBRGznGdxSdWPiqSrJHjqvPA2juc43X0JKpDgQlCxTQDklTCCepuKn8sgxJgUVyuTL1THKEX6pRBh6I/ej7KPJhqcGFDJcIjS7ipHUK2PqT9bRxLqlsGnNR8vDUpRUov/vNqhAoDZQzFFP+kT+mY1qT0SYKKpQOcyGBVgmGiXMrHDgB6Fsyg1RrVCykHernCyFNKw9ymwspjN5RyFciSGyG5D9aY+qmDwwlWWNGFkDbYRYWYgqtcLWa5hScXjeZzpW4NsmT/kueVh4dhU8yvQ9MuDQibiWWuRCwswbGFcw16FqWC+rjlocdBF9RXa1pjTSdhPxNOBhLAyisRLoz8HQDZmHFSV6p32SFiTiecY4455phjjus3LivE+vrHvQxNcwxaLoDlArxogUULNqrCSimE3iIBrD2qEe4ych9LFdzqaZW1UUCqMTqVA6wtEGurOTyQlGVmqObSyoPxuqv+kVTvw9b9ukiANQXm4nLZM/GoMmsfNJErqnyke0NvLM+pWqFnKlTFtoJVqfKgH8yT+eOXDSltsEwpzGHWIUGWVivM90Xb+5wDVy585wc/N3lgZeBqH4DV+VSNcAxg9d6klCVVY4VKhN4HFZYCLE0j7EWBJRDroLs6x3UW/2Dzd+D5CGc74OzG41Mbh0/B4cgK2DmCgJTOe2zYYUUiRVcvHQsb3HZKLZReNmsKYQJS5ZkpAqxwzq2VSUAJsNS4vIdHRxv0cNF/CVuq0ukFfA1QCAKPlpZwbNPpPk8hlHRKYOM5pjoCAq9aL+eofL38WRVtAsLksXaMlXdwzALCWCoytjAB2tPo1bljBof9dxlg0FCApamEuR9WDh6tJnZzBxdN3RMgIjJgPr3+qDAPD2UWKVPmDZeXSnoejA49VnQB5+lTWPM5gU5cAjgFkIZMOOaGP6PUL8tTgpc5wJoCsBrqwBiOXlhucPyh5xb7yKTpeh7+c/77KUZod3z0Q7fidvo8fCbfgTuOjmAM0BvCgi28b+PnXRdGAOTOMFj6qOmXDbUAK66iCLDyggttAFgCzFh+AzEKLaMqAeeYY4455pjjSkQfFOyHagvY3xNrju1xeZVY1koebtOE1xbcGHAraYSuFU8s3wY1VlaNcNIHawxWDVRD4UUOrpCm7QQ6eYog8UDZsRUE1dvSfoxMnzKEH1WSXKxQZayxMdi3LX1wFBiOK7bya8NtCicfL/Z8THnZtU5sF6Wya19frTwcDFpNAZpISxzzxkrrHwZknTa9/1JC4dV5v4zQqgZYauK+9o2Yt6uJe3jWKoQKsPqQKshA9MLSNMLeG/S9TQDLSQoh9wT0BtQTqCOYDcm0Q4Q6Sh+qrTmuSPQ+nTsMEZpQWU7BDSBeWL0P6YMTqqd8mvphybTp40vN3OVBIZ2uXCalMoqp/No7rLhDhx4dNlA9k4eFj0A+VWOrlSiWbazE1gQVChC24SluM0/dy3lSGBIYaFpfUlzl6+XPvU/phKxtZMFhugtSLkMcb+KklEKOKqyxPw9DVICtscqEY6HeWCn5u/IxUZhFqd/JX8xW72t1UBj77JgZO0YAqZR3xGcAAA0t0WMdHiv0fi1gLX5vAERpLxFuf/iqD3nqICDHgsKt/JgoK/eZwX5sG79Dx5JuiZCx93KDqq8+cPG94qjk0yCmqL7TsbYstu0tt/G4V4WkqrBMdqwRwk0qCsmaLsBTAP4iwOZYzF8Vc8wxxxxzXI3Y1xNrju1xmSFWI6Z4jQU3Uo2QW3n41oQHFT5YcusbCZxsAVdj4Ghrpb8BrKrfjyis9L3+SKlgzrb0ROhqI/Pi9qr9iCyF90iL2ve6fwy0Fa8nANYAZnFchrJlR5nXROeHqqsEsnQ+4ngbWJoGTYaGflf7pCk6NmirdMS8/RJQDRVZY6mF+8SVBFZjcZ4XWPnFVvXV2osn1sY34ofFJj7XJu69N2LcHg3cxcSdgyeWAiznQhXC3kjaYFBfUUcwHcH0gO+u7tjMcXXDcQLBBDUzFzTQe46pdJKqxqPwSsOEL5EcYOV/erkKSwGWph1ORUrD89h4jxV3OMFGzL5pA6lO18KwXNID49BBsUWDBnI5b9DCRvN2F6BdrASIMhWw6BMHnOIT8NPQdVwGtfS1Y4GBzCk1yzPDkBjjEwDDck7UEXGsxtoCudT3qti3ESlubrQ/FQpwpOasAJ+YmkcJYHk4gB0MbFR21SArPy7GlFe5/ic3/Zd5hAUsgKUYl2OJFZ3HigDHXRjz7DMlgCFqMU8utGdDXzXNUtRYmjoY+8FDSCXjEP4OquEaeK1lKqwx37VLjSXdjDYorjrPMJSOr7yAgvpeAflnQXBwYPIgWFipN4iWWyzQokUj4AqikLQgtMbEvwGGKAMJks7qOfjAhe32VxDmzTHHHHPMMccc12ZcVoglAKsBB5CFYOTOwci9TCekSoG1W4UlG6mes9gHaE3Cq6ntTLQDDC8yCiXWBDQq+pgBrGm3+On+bItp4/sRgDUYrwSvNHVQ0gdTCuE+Ju8+QJ9adVX4XVWgSqsSivrKR4A0FrkX1j7h2cARJ2B1EYqstMy0Gus08OpyemzVACuHV6q+UoAV/a8ygBVN3H0JsNQLy/msMqEz6HvxxIoAqyNQAFmmA0xPoF6e0R2G8Onheai25rgyocoiQFRQjRHJjWNGxwJBNt7Hincmu2CuK9ZptT+ZR9ELayyFMD9/qYl6aivrHwu86bzHBd7gBGt01GFNJ+iwDvvg0VAr+hM20QsrtZdSw1SBpWbWEWJ5qcYo28zguReYxwGRKdxSmCBQSRSRCqwUiLkMcGmlwbFDW8zNKaq0mOXcHyEac0yjlGqFPBgnNfUuqxIGCEU+wD6TfX4GDi6pk2DgYqqdy/qW0gwdfKaqsjBkgcxrSacDAot03HcBLIRWjmHg0WDJ4kXlyWGDVDkp+nZxUNuRg6YUahohZcqqWIiEhmbt+joHQzqt+Fz2/E47VBzxTWjCPnXsYZiCGpBFrciELgCsDbqizwYGfZYf3oSUXwVYSzSwofqgPtTE3UPOu+rH1hiAmbAxDDg5Bg9nxj4EsZfS1hxXJm41SzRGVIKfbUslwxPbsrLctmqEQFmBcFc1wvq3Z12N8Kaj0hNhV8W+XdG22//m28X+54T1qqoieok/NE9TjRAAmsX030d7pvxebuoPbVf0dTGV7ZFXG5QN7tjeaSoGuuoz2VXNsIq6euEhqxXWUVcvHFROrPZlUH1wXbo0+ofOVctPVx+U9cvt+fOpSqRflzdmTj5cbvv8R8uu/tn7zxTvP3lBxu3EXU0nyTmuRFxeJZbCKxvSCENFQp+BLN8MlVhq5I68GiGQQadx4LQ1jRDZMioAGjNnH1MtTYW2lfWhnr/NMH2rKfzYtiZi759P2wBdMXZbWsxVWAFqqepqH5P3PHwGqE4ThvxOBdZpfvSPKapcvKgZ9u00aqyLVV+d8mt8rzjvF1jxQtIGuUEXoJXCqxxgaQXC3pcgq1ZgqYF7DbCkEuEQYNFG1FcCrwDqRYnFh/LE0qv4Q7U1xxUJxyiAkiXAEeC9XER3AWB1cDsvPHOoFSsSbqHsEXgRRT+s8T4yNuxwgjUu0Dk46oPnj5R71vQrAwOmrCx3jk+imXUCWC0ZWENpGyPCGk2l0tCqf5q6pyqrvJKgY/l9r+mDgICnellNB/NRXWVAJPBefYmYRZGjCqzaXHtKhZXVJZwcfwr24LkaSxK+LVy2Xq440tfqLUUwAQuOnzmTB1MJsBR0arRkRQFERvbTM9ZYwVIbt8es23YhvTClFOqxp6/z/VZVVsMNcoPzEqSJGkudF8fiUOBlWxzxGdiw/c57UemFz1xAJYIqyqGjGmIlIKc1KFteRE1WQyYqr5oAsWS/JJhVjQksQkGHtaNwTB5OiTWnE84xxxxzzLErZk+sazcuczqhAVsj6YTWwrcCszSN0LUE3yBUJ4RAqyyVcNLEPY9diqlaxZXBl2lPrD33LwdYA/WSLsO70/nqYLl40AtyPkWXiu2PpCuW+1n9Ve4BsKY6sgtgqcqJmeJP0OiFRYhphcW2GMhTCuVddrc6bDM3bh8zcQeGRu6iwvLhfjhPwqh9jN6nYh+AdSWrG+YAK/e/6r2BgykA1ibzv1Lfq20Ay9cAayyFUNMHO8BsCOQAcoBxAM/phDd0eE66GwNRYfQBmHTeY8V9sMUuPXgUGtS+PNLOUGkzSIHL1FjbgiGV+NbocYHOYUXn4dBJ9brMr4nhYdFmfkDVHXCYYENvYMmgJYOFNfFc4RjwjgeeXAqeij5xluYXXgPJG6vzQBcUZL5qq04HzMfPQ87TonoRBY4qsLotfkT1+OtnxSQpb1OVB+P6mRqLA8BSZR3DDwzWmT0as5TxH/kMc3hYTisBVuGJRVRUyNtsWlzAUepHAFjJ68yDycWUQv0WM9m3Rg6ytJpfDbDKcTTpOzI7vuu4XKmEAHCMIzRh2z37Ypy0xx4sIJfkDnquMpPlVHOXkgoXZLE0NlQdJTSh+qgek3nxBK24Ccj5QOGYu0z7PMccc8wxxxxXImZPrMPEZYVYbJMKC40JsIpiFUIFWLkSK08jrAHUAGqNqZqq16P9GmljayrhVDu67AAUlaqrARgba5+r53zZifSPU8U2CLgLBAJFGmGeSkg675Th6w+JpoGOq9L8Jl9vGaXcyH04L/PAmkgp3BZjAGwMYJ0WWP3Fh+8Md7zDRSySQswxwYPQsYEDiYoKoqYSr6sGG7bouImwquMSYKkCyzOhZ1sArI1LSixmQs8pjZCB6IHlGfAKtfIqhI4SwOoJ1JkAsQRgmQ1APkCs/nAQi7w8DtXWHFcmXGD9vjx1glkuolfYjMKrsUjLBHVVNU+BQDSSB8EaaVFN3fN11JPHMWONDdZ0gjWfiyluUTWT3W0QkKWvE7BQFVYDAVitoXihLuMQ+rblS4wi4A/9C6l7HMzdVYUl6YQM58vvD/HDGqpH4rgw4MMNBkuZjxZ7ONbKgSUcrGMfM3cFHKo+Ui8oJlFj1SmFGsw+AiXHBobaApBNHRt5X8cAFgVVUGsMllbS2476Bq1fwFIr7ZL4Y+XgcluU4K5UCMbtavXCcFMlT5fdN/i+/w9scJuyLD/rxK9tjQ1OsMEF9LxG5y+g85Lm0ZglWnOMBkdY0s044ptwhm/GTTiKx2yExkzg8PdkQ9+TI1fwCyP1AzNouEFewECOd1FhaQphE459S+Egg4BTQP4GrUkViIu/xwMp0TyGxQ0upa055phjjjnmmOPKxRWoTmjBRlIIYUP6YENV6iAiCOJwBVGDpm0Kqcm0vLqNqPLiIXyqnvf6mTRog8t5GOl33cdtG9KLFdqx3NiqDHBYMa6+J5wb7ccuCFcFB6UOI4AhAL03aIyHWg3UP/x8vI+dtlODKQ+KF1cIbcfXSAkYnpOCa8zIPdrwcvIbiaqrU1RKnArHQ5C17w/d/NKtBlgKr1wYhw1MAFQBWiGBK4VYOn8MYOWVB3OAtfG2UF8xU0gnLNVXAq8MvKc9PLAghu59BrAyNdZBYk4nvC6j9wCZpMbQanwRrEwADWAIJxRQNKq6GfHC0mer1QiBeFHdBhlU5xkbz+g8cNJLNUJHvShsyAA83h/V+eRKLIsWlsXMXVOqLClkK/uXJw4OqyTK+Y6F/QBeVS+icO1Zhin3worVAkOzonAbHz/ZZgl3DAFmAqrlqYigNC21beAgqhzS5DIeAprc1Fw1bBzUTEzigWWpFaVO9r04lnKnCqh6Oz0cmtB+DwFGjDT+hjmmTrrw3aXjY9GiMcto8K7gZip8SIfMKyYa2OjRpUFZH4lNAbK2RZ16KOPl0APow3edgcGSj7HEMTwehRWdw8aeYG3OhXVaWGo1yU8KE6Aug4CQFJp7plFURQIpjVbTJBWkNRGrmZDoSWFs1L8tgdLGEAxzTC20RHCecRKOrS4cvEtqcIaXW8dm32DmCM0O0dYcc8wxxxxzzHHl4gqkE5I4IBqCtwZsqHqgAkwYQpMsRisHAiU0yqOCYGx4u6/W2Ea3qJimPK+m4Fi5M+XrUWaSg6xLDW1/DKSNjdtYX7bNB4q0QgVZuqiCLEMsgIg1SSOkFoYDwWTASZRR+rpMLdQfwC5bR16nS7RageXYwFJeyD0cfORPVWlwnxgDWftEnfqTA6wOIW0vgKwaYK38IqqxNpy8rvIqhPpQcKUVCHMFlvMGPZuYMugVYlX+V15hliN4Z+H7pMCiXtRXFCoQmi48MnBFPUJa4XwRcCNHL7QbvRd4lEOY5K8jf0y151X+OlfYUAWv8rexKiHJBbM1iABrYRPEcgFgnfOiZ+mwydooPZt0molpVDbCFKlIaAeKFFV/1amCQAJY+V5YktO1VYMlIwoirR7XeZncea0iiKjOkmfZJ0kxHG6UsjGtAZoJwG3sgl3al+m1+TaxnPMbbtBTHxPM8s9C1UcemqKX1FgWbVRAWWrBkBQ9X8k3k5H6CNgiD89AD7kxwqAAy1JqoaqOemY0mpoJBsGgxRINjkBk0WMV0wrryI3d0/6FJNKgTorpdiMwLx+TXZGDLEDAmlfIqgCLlzjGAgTCBT7GCZ1gRcfosC4gW1RxRbP5EqTp5+lCAmOP5HOmlRZbLAp41cKipVS0QPfJMcN4AVZM6edHa7RSaLp50/UcYTIAtGSwpMv7s3WOOeaYY4455rj24/KmEzYGbK2kEAb1FVt9ztIHqzTCKRXWLk+per6+z9cfS0mcvHzeAXa2AqzTKJdGOqBt0y6ANZZ+OLIMAUPAp+vvAliZr1dxXbiHUomZQoUr/SFbKZIIsZy7vh9TQg08qeI9/jS/VmG57FLCMcERoUVQYbG4lsh++QiygGTmfjGphXWcFmTVLEcBlqYNKsDq2IbncYAlKYQlxNJKhGrWrgBrHcCVAqzO2QiyRI1FMX1QAZYL6ivnDFg9sXoCdwbojSiuuszEPYAsGgFYxvGUyObUMVcnvD7DeQ5KrMwfZwK0TEUOsCyNaUoyEEZAo0ooBVkkAOvICvA5IZJqhL7DOZyE9KwNfDizTHk86VknASwxdFdfoJaMeAGZ5Mc1BbIIQ5gk0wlkUgEIXaTzDBdULJ0XsKQAS/2zaj+s0fsV2fme4p0UnVauUUPGlEqYK7IIHhYNi3oqpRKiWFcQkynUWB6IIIvZw4UxYRgY0rQ39dwq4RFFo3i5ueHg4aPJOwedsg3jIIb1zHoeTvvVcIOWjkO6owtQrBNFXojc2D3vQw6wpsza49gGNdbUvDrkhk3y3RKfNqmSscQxjrHALWaJxhCWTiounucWG1qFcVPwZ0IfSxVeqjCZfxeLL1W+bosFWl4U8KqllDKrx58+LInaTYuc2QCQbYBYK8fYMLByHp1PSqeFkWPiEJEXNzhEW3NcmXi0vQltqE54S3jWuOUU1Qjr97uqES6rint1NcKjo+qGRtWe97R1vrHbD6K2nZ7vq1OGc+W2mqrSYVMO2yD6bns6c7cp59eVEret3Sy2b3tX+PNVxbn6R3P1g9vcVCo3qa4YWL+vhZ551T67mJ4HSPZREdUl9imrFR4yeLUqJ9TVB9fr8v35qppgVW2Q19VNpLoa4V+dq+aX7dcVCLsHU/8ufKQc14/dX477Bz92VLx/cF2O+ydD11b+MOPteHiYXUpbwGzsfqi4vLe0jKQQsjWiwmpMgleaRlgpsGoT9m1AaFsaYXwuHlyovvauDji2TQA70wdpuM7gwphHpgeV0mB7dbfy1IqpYJq+Gh+bNwWwCpA13l493TNATKAAg3KQ5ZjS8oToASPLibLKx/Xy1MCQqKPvM5iVK7LyEDVW6BNMocIaO8XVHle7KhDG/cX4l/cukDUGrjQ2bIr0wdz/yrPBJvPAygGWTLOxAqEHRYAliiwTAZaYuIsSSxVYnbMRYHGWQth7E5RXor7iALPYjQMsUV8RKFdg9SXAovD+IDGXnLouwzGAoMIqUwrLz2CbCkufLaXUJU2Ny7mLqD2Cvw8lD6zWAIvw8OF017HHOaxwzpwVpUsFrgRmudCuif0zUdFiIrRpYNAEgCXV2QSe6Sl8CmTpfsj29L2kvyXgL+tKtXGO0EAv1HVMOTNpZ0asOpenXCaAVU4bSylUuEBEA9CRPhsDF7BUwEmDdhTQGPLwsIUaS298WLTw5IDAvAml8krhoqbt5aG6IQMDkAAvB0T/KHEuE/t5F9LMXHZMtVigxTLAKweiLgKpnWAqoiytXklbVVgKskahVTZ2Hj6o3GTPOvJw6LGBXnw8GgtqcHNrcaYxON8ZtL2B9QYrbkV1hh6OHFICLGXtJxiZKk2mepMcb/qkVNklGizIiq+YkWN9YQgbL1U3c5DVZIDVgNASsLRyLHdM6HqPC73Hxnup4EmE1hCMOcyFSQ3nLrWtOeaYY4455tgnZmP3w8RlVmKRgKsmU1+puXtIJUwPGsClgVn7FuhU/74eqLCyNMIBHJtSKGXztvleTfVxALyYxrkRYwii6oXGLiC0rV0QjuUyKeddNNLkoDJhBq4SyKouKieAFgdIxQGCxPLZSAqnXJVlwiVJAldDFVSeWohq2doXSwGVZ7loQfY6TymUabLm5UorBKZB1hTA0guoiwVYeeqgYxOrEEaA5S06b4N5uwCsLlQkdJn3laQTUvTEygGW90bglZPnKYBlNihUWEmNJQDLOBxMiTXH9Rmdl/OPY1EQdd4LTEDtizUdqsJSH6yxaoUKsNQHS9MJVRnVGuDIpr/LzntcoHM4jwdDGzY+M3mM+WJpklpera0JFQkbMgXAylMG81OBgjUxms9SskmAErOsr9BLv0I6z8U0TSFk1vTCACQ431aCNfqcpxTm56g8zSxPK8xfj6YpZrCl/lwoGyfPciMjV2Npj1T5poDHUFI2Jb2Qh4eDRVPAJQWNLtySiCiSEHyq0j55EtAnCmHx/LLciLcUeTjq0LMFFfrf8VCgJn5TVOzvttgGsGoIKGPmA5jr0PGFsBxhSRa3LgxuaQmNMbAGoG6B1ltsuA/FQOS2tRyhw78bGT9fQK/UJ1m2yaoPHlkbAdbSEhYGQJ9AtWMPZlMooawhNOFvzxBwvhfgdeLEi+6YWtzcNFhYCr9k5phjjjnmmGOOGzkuL8QiUWGxEZilhu7Fg1Ia4UCJhWwa0ntpe3r+mJprqw9W9ZuoBkNTaYOTQSPrXGqMtTMBxQ4eI/tbKxvGytRz6JwauwNI/lc5ZTQePQwaePFZIgLYwDPDU9A6ZFCrNncHRIUlACr5YqmCS9oUY2idpymFIIVXgI0XOtKwmrzn291WATHu38S8bXLUGl6NGbh7NrECYV59MPfAUoC1yiCWZ9pp4j4GsPLqg+J/NQRYvjfACMDSFEIKhu6mk500Tp+5MHY/lCfWnE54fYYP6hr1a9JqeHWqWh01eNFqhHbshKTLUfLBskGNpY/864EhlRHX5gQbPofcCHssogoogIsx7yeK26ICVCXwxFEFptMVdCnAMkidtBRSjn1SWym4ysdWjbl9UBpNjWM5LT1L3xnEQ7+k+rWmoJVtyblER0NVPDnA0mcBJkmNldpOJuIgSS3MwaYqsSwaePIxVY1D6psnH8BiUtMZGPTowz4ZGaOgFNIhkSIBNjo99eE4kM8kHHlk4uevzwLSEsDaB15tCx/VbHXqjtHifvBw8FnlRFVCHVtEJa2k5+kHkQDV2DGQq5VUfaX90H2SdMJGUgiNQNocYDUBUBnHg3a1oiYgx3JrEAGzZ6Bjhw0cjtCCghJr4k/71ME4oGj3MM3MMcccc8wxxxx7xuWFWAFgeUtRheWb8D4autMANA1gE1BcXewLsNJrHrQxek2UqaUG0/N+YAi+Bu3HQZigTPv+6tn6gy3cPd7nzuSUGkunjO1zPn4KqrJ9nNpqvms+XvSEO+ycXjsOCgNvAOMFXoUc5sYEoBVgDmBC2fdUv8oRJ2rECR+15ND5RugJW4FWAQCl6JP8IYCsDQGWQ+pg7ksSLhBscD3RULhmiYuUw32rELpqBGtw5eJrM/C/GqtAmAOstW+w9g0cBFp5UFReJQWWSSbuXlII6+qD+hkwi/+V0wqELhm4w9M4wAoqq2je7gVWaWXCOM3zDIxu8BDFkbwWNZa4HHFQwjQTaDhWlkOpwtJpcTlKHlgKkbQqmtYe8QxsPOA6eT7feXQBgFCAU7nfFUEq5hm2IBJYodPz8DENq/Rb4tB/VUzlKX8uwC5DcmoTYC99rS/iDYfvT1BMv5R2a5AU9Ea038W7R/nVpWOr6iRXAA79LkqaKAeHHuN5wpoyp6qqMUBjghprzHssGr4DA18qhx5iut/Bh/O4KrQUiuln5NnHfUr9Zhg1qUcCgqrIWtAxQICjLn7memw0+j6DmA1sBFgK73I4m8MtgURcjIOqyOqQND6LJtThXPAxehJzdx1jx4y1Y5zrCOd7xsp5bJzHml0ERH3mb5X/JKzT7QwMDC9gw2dlQ6ECCylWsAw+WPGGFTM6TxEMUvh7a0KhAylEIO23PaMlgV2WpNBDawhnTAvLBjfZBkcBivGhKNYcc8wxxxxz7Ig+PA7VFjB7Yh0qLrMnVkgdDCosAVgoTN1zxdRY1DDrtABroMJCCVmGKquJX/cjAG3nMmOLFBufXq7exlibcRLxeFthpcxiK/KquHjWLjFNpxQGiQvV4zQxXqX6iiPIAsJdVn2tSq2QrtYYD4rwStRYqtISP6wcaBFABvCIii2NHGR5NugCwLLZWHl4uXvN4tmyiOPh4dhKvxVmZeq8BKuSSqwGWXWMAas4VmHeGLzS1MEcYhUphL58vQ5wa+2bqLzywf/KMaHPANbGNwXIUoDVu2TqLumgosaKACurQAhHICcQqzBx70rvK1VbCbRCUmF5mXawW9maV3Wotua4IqEqKFUM9ezRw0cQ1UbfowRNchUWkRq6J5gVTdNRqq8owKDWUDSU1nPiyglIWvWM873DGppq1UZYkld043AOUajSoI0AAxAAoebiDh49ezgvchNmMRMW7znZrqZRSuU22S9PIsdKiqzyXOLDrQg9FauCqwZZhgLzZ2nzNCoUXVe9xhyzeGZlJvEKsHr4CLByxZWOSa0kykFW3B4MHBwMG4gfcgI5pC0RCsCl6Idg0KOLyiTdpro5ydoOUtrDAeHzURWZ+GFx2M/UPrFBS0uAAUMWPrQxBa3GVFPSlxxSiTJYoZ5AtC4qx9J+5UVMZB9a9jB0BMMEC4ueWyxxHNqRseu8x4Ve9uVCz1j1jJUXgNXByT/q5TOM34tliqSOsVYubAM2U3ilRRHk70v+7jh8L0phAYoq5IYIS5Pad8zwntE4SeW1htCQdMUScNxYLLzBcWMEYlnCoU7LsyfWHHPMMcccVyNmT6zDxOX3xAoqLIFYqFIKaasKaxRS1a9RrlO/LhVFKJRYW1P+RqDRAGDRxPyxFafM0Pf47TPVbj59sAijoFfCbhLJoqxbrLfmqzHN97NOH5RnLp63hSqygDLlTlVZCrB6bxLlCs+NcfAkUMcHCCUQyKKBE5AVLja67Ad4S64AWIYYHduK4jVCWmCwYblI81D/lrJqoVy8JMNfVWbVIEvnASW8UnCVq7kUXOnrGl5tWO57FxDLt1jxIqYL5v5XCrA2vsHaNVGB5ZnQs4CpHGR1wcw9V2BpKqHCK3mmcYDVmQCrKD1nAMvER4BVXuFVAlj6OETM6YTXZ1iD+DfpmIMCigGIIbqNACkoWBSiIEAsoDBxz72vBHChSh+Ui+Ym+GABArDWDrjQe5z0Huf8Bmtay195li6mIa+TsieqcColVkxnQzIODyc+wAvIUoDVewF4TKI0VZhlCCE9bqTiIlEAL0MPq9RXwUAGArBOC7KICCaAfOn+tAJLYRGTRx9Kb+ioTYGs0W3Chq+AKSWWph4GTRj7CLZcgI8KYHQZOVsnRZ1+LhTRkkEPL6PMJegwMOE74Cgot1JaHSCQq4nuZ3quT5X8FBYppFKjez2SdF5PfVym7n8Os0BAy0sQDFpYOLRgHMX1BAQy1k5uAK2cx8o5rLnHGj06dHDUo8Mmtsfw8KGSoob8fRmk+ooJXmn1Qf0bIyoVlQDgXFKzWSKQDdUzWYAtGGi9wYVe1l8agV+WpFIoLOHIpvTEA31VgCfu/V1sW3NcmbiVWixIqpU9cVFewpymGiFQViRc2PLIWlTVCNumnF9XC9xVbbCu4FdHXa/AVNv3/Za746eMbZUOZX6p/qyrH65Xdut7Y8r1zXF2g/lMuR/NTeWO01g53iy4+oJzVbVCqs1n6y/EM/tXUgQAbtK+UV/tV71wV6lm23JcaFmVPmy2Vy/kuvrhrsgrDlbrDqoPrstx8w+V1QTraoT+QrX+qqpOWFUrdGfL5fPqgwDQPVSO1YMfTp/bXz5wUzHv/odKC4cHu/IzfriqiHM+HLBrP5vtPtLj8kIsVWKF55RWiNLEfQpOhWk1XNkXYOVm7vEZdXsc2xn0f+xcWgGsbaqrycZO8YNnkFa5bbmsXRrZju5qTCHkfOGRBXMVli4X3sdhqIBWHrkai4ijv0tu9B55VQayfFBcqT9WnlbomKJ6StMKAQ+QEfN09vGbRZVZhkTR0XH2hVKBLAePhU7LfLLGQBaQYNYYyAK2w6to2h5UVzotV1wNnoM5u3pfrX2LFTex+uA6e1aIpWmDOn6aVtgHlZUCrE69sDyhdwFquQSvoOOfpRBSeDZdAFcORRVC0yFVIgz+V7kKqwRYDJprlN/QoecBDn5Em3CxnqoIhnNCSE3SlKIaXhUVCzOARZQAVmtSKmFrECHWSQ+snMe5zuFhv8Z5rOIF/hjAUmA1psYByjQwJlFh6f4BiCCLOPmAdezRsYMDwzKByYBD3z2N/+DWPTYk53apNph8tuJyqlbl/UFWaQAPIHgRyrl4CLBiSh716OECTGpFPTbiCaWKuroaX1TcAtEbywUhfv456L2OgIlgWNL89JtnHGJ5qXQIwJOHZw8LUd6q+s9xQlsyxuLWpSAr9RHZfIoKJZ3XwWGDBOK0sp8ALQO5Ts19vdSgXfVsXQR0EdaF48pSG2AYoSUL5jZTU3HcjwvOwXrCxvsIsNZYw5GL0AxAGIdWjg1Qpp6TEZcqjTYWJ8irD8pYD73dFHjGv0Ej2JeDYlYUiB7WBTczQ7FIgDXAsZFPchEA1tJKEYg55phjjjnmmOPGjssPsUxKI/SNACxvMaxGmMOpGm5hAuZsA1h1u9tAWN7narlBjMGrPSoJDhbbdc0+AutOEyrEGmyPkvqKmMeh4eizpBIW0GoEXMWqhNmqXKTO6V3tAG/C8jA+gqywACiUkNe0QlVjqVl7Siu0MBxS/8jAMBeKLEkrHBmkHGQRRIlFCpPK9MIcZKnhu643BbJ0/6QF2gmvHExUX6nvlcIrBxOVVnn1QTVw18qDArFsTBUUgGUKmOVYqw6aZOYeKg+Kgbs82Gs6oaQ+sSMxcXdUAqzcA6svVVjkOFUmVEN3VV4xLkM6IR/utvh8e/2KhTGEkDcGD0YXlDTqhdVGJZZ67KXzSA6vytdJgVWkEGYAaxEgFkOAyKpnPORX+BSdRUfrqOjJ/bBinxFSCLmshKdpZBTS1VKqmqRI9pl/n4IsNVzXNC9Jw4oYvlCfjN2o1too9d+Rz/4cDLK0a6aYMjcVzBzvUui6lgDv0w2QGmCpCisqjsjDsKTs6edVM4hdIKu+l6qfg1aB7LHO2nJRMZYDIJ0n4EdC00E5eGV5FiDUI52zc5P6WpFUa+IknVWOlIbEJB5eFVayHwwn4AwuqswICtEkhbBHB6cPln2QZwfPPThUxGybM6Flgg2ACRBFmAsm9x0cvJfx7SDpsR1tImD0lKnWSPoQqylmqfctmlhdc2ksFtZgYUp1lBYX6Lx6vCU42xpCE9MOk2BAj3fyCUR7KwbuC0toCdEnS4HzKX8KTcacTjjHHHPMMceu8PnNxwO0BcyeWIeKywqxfEMgVV7ZEmChVmLVAAvj70dB1xjAMpza1elA+QuoUmFt9bsaXa6SPl3KMb5tm2PgbJ8mxvpUq69YodZ0g7sM3WufVQVZAGJ1P646XxrGUmH47plAAbborXbDPqqxOm/RGgcw0Hkb4BWAULYbBmjh5PKAZB3PJv5oLUSvYYwcqFRioUwvBPURZBXeVxy8sbJjQZRkYf9H4JWCK0BTCM3QvD34XCm8ypVYa9/igl+g80mB1bPF2jXoWLyuNk6m+eA1xlk6IUeYRWLmHlIF+6DA6oP3FXv5o+EAtNAFFVZnQspgUF51NIRXPWIFwtr/ipwccxQuhuX12AF4+pjTCa/PYBaFlVz8ilIlVa7L/K0yFVHueTWmwqoBlqVQHTD4S5nwncAAei+PlXc4R+dxnj5V9K+uSKjKrIabWH2ujHE/JEYwDg96WPWY4qBKUTVQtgIIENBsKFYf1H3cOqYjZ3WFUdsArXpsxYIc2zczsr4mySWYJ6l2an4u5qZuIjGsNkE3AQCpigpATN2UBPIWpWeUgKxahcWQ7wwDSSknGNE8UQ9iG4BYGoMclnLcp+C9hpTiqsohIooAqwmflfiGjY9RrijTUBy4DWA57sN20/g1JKmDFFTMDArQFOhDm33wv8oB1phpvoYm0DYhPdKSQCxNxVUIfGQJPQMbsHxPIBQwyFIG5fNPIHmVf1/G70pZzwd22pIor5Y2VQ+1Y6T2IkPN/A/V1hxzzDHHHHPsE7Mn1mHiMlcnJPhWqxFSCZU0agiVT0f5/mIA1qnVTBMga6vy6jS3Bvf8rVMDq6FiakQFlXWEwjpkwg9Lmrgor8doML+iAlUj2/ywVI2lIAvIlFrq1ZXDLgizIoSL1SytsGebgFa4w23Ih6QQTSlEbMuDRI01chXWAgXIclD3FcCGCy8HX6iyFFypJsLG56AA4+SDpdO1bX2uFVcOQRWF9FrhlYIshVi5/5X6XnVsi7TBzltsvMXGNdHzqlZdcRifvAJh7w281+qDVlRYfYBYknOD0QqEYwospyCLM3iF0tRdqxHqocWiupvjxo21kwvBjn2EG0w+3AGT6qJ1tUGgBFcaCndEnRQMoykZo8sFJ8FlEp/OMx7uPFa+R08yQ9MFFWBxPDOE6mwBYLVcAi5ZN1S9CyhkrJ/F8pRUZvlDtiuAa+MZ6EXhohf0jaZyaeqWVjgEw/mUopmH58zLauLPLtp2heS1PDXRBeBYt6vRoAlqHsFLLS9iJTtVOklaqAHIxdS1reODlNoWKwFyA5AAIYs2Qq9yP7JaidxlN2LUT8sHlCXzBJjlAHW6X6KWS2NATFE9572a9ZfVBglWUggJMf3UwBR993ARUBEMGlrKPpATtViAWw0tQSFFvmcPxz6orTboqIvjOuZDZtEGhRxiv+SY1mqHFL29bFCf2QwmA5LGa0NxBB+y+HVMtECDwtl0fIbtE2FpDJhbtGxxZGw0bz9uCEtDEWAtjFbqZNjt/HWOOeaYY4455rhB4rJCLLcwQENFNUL1MuEJeLIPdDoVwNLXWZsyfUKFlS+Tx0WAq31N2/PlBvtfwLtK+TVsLXulVYIEZIFLyAUaphIOKhPmXRmZt63SdZ1WqOl3pgJYosBK1QtN6IdnAnKTdyC+NsSAkYNXjd49W1FokFxgihOL2wtkCZDqATThMpUGMKtjK8CKPSx5dJD3HVKyTw62akjm9EKiMmuPECsorcZUWB1bdL7BmpuovtLUQYVXPZuovtIUQa062GfG7cwEF9IEHQdw5QRieWcL3ysEiEVOXo+mD0ZoVfpfmR5RdVWmEIbXNbw61IWJSmsO1dYcVyRWTq5yO+8LdUREEHXhCYwDLA1SM3RKJu4aLlxYOy/wyjGw8YyzXYcLyFMITYBUYsaqqYGOemg1QrnoT6mGSf1j4NlDi0ZYbgKWSn1O1RXDe5IqrU22nJrXO2ZsnBdFpafgESTnWEty7pT9KgGW8+NqkzFz9tivoHYL9woGyztO6CbVdSw/FxMS3MCIPlENTFAm9fAhfS5XAuXAKAcuBAvDHqA29C+Di5wUWwPj8/zzYPWV8iBKJvD6WSsM0/b1Y0pW5gGish6TQxWVAcn3BRs0QfmbChSk9jyAhhM4Sn11UTWmlQ8BxKICqtBiasFwEa5qwQAFWGtao6O1jBOZQiko37UK6GyEdWpIX39WeiQ2ZAZqR/151VDMBBYlpU9phH2EeKXmy5L4XBGV1QePGjFzXwSV19ICDXH8WzYA3GmlgRMRalEerK055phjjjnmmOPKxWVOJwSoESWWz8zc68ekLxMSiBqk+p0WYBEGF0GD2AauTqO2qlbdFaNKqLq/tQF9vQ7X0zhSpjRLgUEOs0baU8hHSKmESNBqyg8L0LukSW2lIEubrWHWGMiivH8VyPJEaPSudYRaXnyoWCbKBZgJgClsfRvIIgA8BrAIgIVlhiVViNgCVgEowFY+XSOqsTLVlfpdpdei19gEgDWoPOj1vRi39wFmqeIqrzjoOHld5abt0fMq+l4ZOEfgoMTi3ojvlVYedEF95QRkKZwaA1h1+mDhf6WphIzkhZXBq0NWJ5zj+ox1HzyjWHyj9HwABGgQjpex1MFSHYJk5g5CE5Qikt5VKkKkGqGXqm2+x3lscEIrOEoG4i0v0XIrCp2QiqV/3g3soBqdIG1J5lLoEeqdblWNxTQ1MuiDN1O+fM8ePQMdU4BWkoioqZFJhcXRm8hzSlGsI3nLD+d5cJG2GdO8wucgyrAEG/O0OwCFgkf3SZ7DtxBb5D5RlCmSZPvDk0GsDFhDJbQBFgqwymGiAi1JxevgOcBJMrJeuLWg3lnR8yxrK/c9A1qA+pCaPt5HUZoZUdsmDZg0y8EgneR7ZSoUZAEWhkTtp/5djro4X7VtAnk9OvToqMOKzqHDGpZaNGF8FHhpH7WSYu7z1cKiJYs2A1a7FI8NiWdVXyn14t8aRAlY36tojFS7tIRYffC4AliSsshow+8QA1FijVXfnOPGiSe0CxwZqU54Zlf1wep3qjX18unv+LiqHni8LIH4aasR2up9s6jnY2u4cvODCoHbot72rsqHdd/qYFf+/dfVB7uqWlzdvtmyr9Rsv7jym3JbdRGgYTXDcmd9VUWvDnblwJqbyve0zJTWVXVCX61L9bqbqtpgVRGwDqoHqt1xkFTVEDmrxsdVtcBBtcGqGqE/X1YT9Beq6oXVOHZ/VVYb3DxYVkM8+VT5OX3iI4vi/QOfOi7ef/R8whGfrD6y89XBf56rP46J6A90c6HHtm/s07cFzJ5Yh4rLm07YUjRzhwIsTKiw6mkT57WBWfu+ACtfv9rGqApLK/Pt6I80sGXeaZertjM6JlMgq96cYZCvQVZ4l0OyfYgbFU/j28u8sMbSBmuYlYOsvI28eiGAAmT5oMLKPbKKdEJOPlkWBMOcvtO2gCyf7aDnAJ7YwpJcDnUcvLeACLWSCqsEW3r+NSFZBcCo6spBFFJjaYN11cE8dTA3bld41blUedAFWOVYqw2GioQKqzgZt3tvRH3lCOiNwKteHwleCcCiquqgAiwWoBVTB+WHRkwlzMzbKVzZFNDqgOqp2RPr+owVOwBiRK0X/QCgduFOpKQBAGCgAuUBxE8pd2IqDQCEPsCdzgvAerjvcY7XuEAX0GGDjjboglG4XNxbLNDCwqJjA9AGWpeUQsqcqlcS1FFvK0T/pzpFMA8ihW9yzOlylO2kg6TvKeCS/bNovRSS8AHMKbjqOaVy1VGDq9rPR9Igy+qFPfsIr8baKNYHRSCiVSW1OiQz4AIcA1Cku+m69bWayc6ygMBDXY/g4UkUWZ4cUpqgfisE/yh4OO5BwcDdk4NBE0CXQiNk4EvP5y2a7LvFw0JSIIdyoDx9LypvY7vJ3yuv0qjTmdQQX1VlDkALTcpc8jEc9bBBLawVFmOBFHhs0GFNJ9jgBBu+gIaWcGjR0hIePoA4EwFWfuwqvFoYqTyo1QTzELEkx5TAWG0w/J2p8rvnpMJyGZTm7I80T4U1EF+tpQWObFJftQZoQwqhCRCLSNo/RDAwONYupa055phjjjnm2CdmT6zDxOVVYlm5VecbhHRCquBJBpyQpmlsU2GdGmAV7ewPbbYCo5zKnOZXzNSy1bYm0wjH+jIF/WqQVYmxdpnFa1XCXVECrPCDtkobjK8xBFlAUABQ6Y8FJPUWCj+slCbYZJcs6bNI73d5ZKlrDYB48WGzi48uXKIq1OoA2HAxl4MtALAZnSkgVrhwGTNrr9MGSyVWqbpaB7+r2veqczaCKzVvd96gd8mwXasOQpdxBHamqDqoAMt0lPlbbU8djN5XuXm7H38tB4geWum4Opgnll7JH6qtOa5IrH0PIsImpOxppHRCD0Oi4LFTJ7sQegGuYEgumNOdbIExwMp5nOM1HqS/GjVyNyxpgFqZDUAAIKKyaoKWpYUV9Vc4hlWJBSCCLJpQYmnao6ZuGUr+fLIvhKS0cegClLHeYOmjzjTuk2MUACtXse0TjAxqKbhhgYgu8ysbq8yXK7NasgJEyMT9AwSCyHmvHI9cqWbiuTj3EstM/jMVkUcye1d/qx5dUFjlqYSixnIcUvOoLRLcHDTd0EHN1AGgoSVAoU8EAD0MDysmxv2gWikWhjJTm6n6iUOPe6Q72HXinUWLFku0WMKypBH21IPh0fISxNJOD4Ijhw5rbPgCOr4gbRXfR0EJFtDYImi8GhJwtTQGCytVBJtK3dB7AaOdJ1G+QdWOosbSpXP1n9rpM1LRhrhfAWI1AYQdWWBpgCPLWBpR0MjPxwSxAIDAcOYw5+W5OuEcc8wxxxxzXL9x2dMJkflhjQKpEAXM2naNQhWAUcXUFMCaAkKD6VWb1foyj8tUtzF4xZSY02l+1+wCWAW4294wMVX9lvWIg2JBKVI1fruUXfvAv6TASndyRxVaYfmYXqjvUfpjeUjqYe/DRSQxjAnv4wICtwxToCkBhKm3S2h8yiOrvADTCyLplyiw0n4rvLLkI9iS91zMBwRwpSqEpkgZ9EGBJRCLBvCq9yZCLFVgbbxMVxVWnjaonleiwkKEWC4ALOcoVhzkYNTOPoNXIY1QlFUhdbCjsuJgVF5hWHlwxLg9vpba8tv9r+ZrgBs61uiDgqWEWKNpTJWiyQeFBiCwRFU/hij66ERTd8gF+cYzVr7HCVa4QGex4odggvLFUIMGy6DCkQt9SyYco4t4rCrcsiS94ahgkvkM8bdSJRZlaixVJ4myhSZN0lXB4iDpYht0YPI44oWcM7x4YvU+OPxwlvqXpf/l7dW+RtLXFOnczPE9KxCL58khyEptyhwDMf7O7xl40vM9QdP1crAj8+QIIBbDc03Dk3nl8gYy3xCj4QY99WjQog9VCx11W88tHJVlqYKh4w4+VAA0ZKRSYDg2AKCj6fQUNZ0HEL27CPIdwvBAUEPp/vgAmno4+Cqnmii1Y9nCEAkU5TLlMmjkYlokByDHlFCbycBakymwtOJgGyoqNkRYWgpVALO+gMAeobKm3nRK8DQfYhMQrgUB4e+mNQatoQiUW0NZyiBCGiHjyHAoxMABjsmNLQLi93A3O7vPMcccc8wxxw0flzedUH7JlpAkg00DsAVUMKmETEx1W0Nz8q0Aa1fkIKlYP/1o0tcFzLrcF+X79n9yfb0YoQSzBgCQ45gWwRSAlKzElOzhOQ40R+VV4YWVpR3wyIcwUGWF6VMgS5fp2RRm794ZGPJojIf3co/bBJN3G5RbUyDLsUFLcgHhQLAs6xX+VpwUV11IHZyCW0CmxmIE3ytVcWjqoBjFe84VWDnAktQlfd74pjBt77wdhVe5YbumDjpn4IMKS5VX8ECsOBjglfpemUp9lXywkKUV8kB9pamD0bi9UGJlVzlTfxeH+ntRSHuotua4IuGkfmd8b0DRDF19lRSMqMoqXxYQcGVDJUJNcQLkcO88sHGMjWOsHWPlBE24WInQRoCVLvhDMldIiwMAwwmgRQPsiX1S0/MSXFFx/lRDdk3B6tijq/weGIx+JB1NzN45vnZ+WjyYqhFyNOFW2FDPB5IyTOeN+mqBQeEGQD5f0z+lT1yolvJlG5igqytVSx5GinbAhBS+ofm7fEeURQDUAN4TxAsqmJ9bauGpBdFGtkS7ncFVKSVjIumHPYbwqrQrB1ymqooQCllFRTQgSDEArVro0MGTR4c1NJ2RwvLR4yuArlyJJd9LRozoofUEG7R0DDJS1bDFERY4jt5uC7QRvg4/36wYQqXE8mBYFtVUF46zjWNcIOnt2qWqmUdWbgUxm5j6d2QNzjQGxw3h2Aq4yn2vFgZYGsbCMFpK4KoxnB2lEu2BlFhcVZe81LbmmGOOOeZ45EXPHLNtDtEWMHtiHSouK8RCUGBJyh9NqrDitF0Aq1J01b5YRbsDOMbFvMnIlE/bFE8DVda+UTe5T190uRHYN9nu2DYizCrbjABrW584TWcOF2KZumoMZAEoYJa8HwFaAYztAlkxco+skJLYGIowSwAWw5ARE/hMsQWElEQAzgeABUkFUpil6iqgTBfMQZZOq5crBxjwwbxdnzvfSGpjlk6oqisf0mxyiLXJ/K+2wSv1wco9rwReGfg+wCtNG2QBVnBBaeUoeVmpCqtWXoX0wQiuqqqD5Er1lWwD4x5YI3EwH6sDtzXHlYlUwcxHUJMrRgwIDZkIkwAUnlEAIsBSxYdCLMcIPlhi5r5yHieuxzok6AGStkWUYIOBDZUHZZstqWl3SvfTym2GaDJlL6XIJZClld50vxGM2LvgIdRVyWqSkpVBLASwxR5rH1LqQrpWDZsYQ0Clz55KFaqqrQDAcJo/tj+p/RxeJb8sZgFvMX2d075oupl4Z6WfINoXeaYIL2rVnUav/lVVyhxi3wVGiSKrhaEGRDYCotNEnuaXV0DMIVbtp4Ww/fyY6iiZxSvC8kg4Kz8eVa/lyaNnF2GXQwepsmjguBOfOG7iegucgaWQhshLLHGElhcxhVAVWHmtzPo7Wo5rHVMZT0t6vMt3eucB9By8suRvrAmFBny4waXNqnH78YTvVRsgVkMcwZXRz7A6oR9KiTWnE84xxxxzzHE1YvbEOkxcfiVWDl8ysDQwaMfIdJTLlM88epUZxUEa9RVtva16+bhNHp+3TUmSpxJOLbMt8rGppsUmpjZAE+2P7FvRTj4G+Zjm6wWAlacIakc5g1coXqOAWem9vq6AV+jPaUCWJ0JjfEzJUZhlAnAyxDF9JQdZavZu2cMToSUnyyL52gBBUcUWBsEHi3wBq4r78pyqErps8DybYOhegitRZSXVlWcjBu1ZlUGFWM6b+DwFryK4UniVe16FaoPwWm2wrDhYvy5AVYRYmfpKoZXX95lxe62+4vDRFv5X8fCpDrI5btRwoZ6bhgnIR1VYNqQJpqpp6Tyhf+IKsDRdCUDw4pFja+NFubTyDidi4x5VPkQJMyXooClXAYwxoQHFdL3iWpqGBulpXyTBTlVY+TmUWVK0Op8AVpepeQD1esrBmaYoMzbeDwDEWOSAStvJVVk63wV8BCSQtS3VUZ/r172249WoPK2j7dlCC4YwTb5Tcrimqd25+kpN0GuApQbwhgUOWZKUQgMDG0CWyZRYRCamFNZBMNEEXnS6uf/WEGTlnlpcKaqkf0npR6F4QFlFMYNfWR/jJxMAlkMPqaxooNUJtQJmww1AiACrVl81AWDZDLx65mjgb0IarhYMU9VjC0lZVX8zTcvtAxhO4FgqDab9kOcjSzjTlL5XbVBdtQYRXomRe4CXmeo7jYUsO8eNGzc3wHH489hVjXBRVcnLqxECZUXCuhphXdGvaS+tDMDiePtx6131fl12wLmJkzuG1Qh3xa7KiLuiXZbbO/Oo7WNjtlxpcl/1vV62K9vmbvu2qC3HjZryPVflTU1VcZDX5fdvnlttblqW69bVCVdlhT86KpcfhD3dzRRU2+Nqe3lFwl3VBvuHyuqC7nxVffDhchw2Z8txe/CB8oP6yCfOFO8/eaGc/8nqeD5bfQ5/5dP2XPW7oC7m0WP7MdCE79zNxHf7HI+cuLwQy+iDKlgysnCtnNI2chAWHzwKuYbrTQOsvWKinzuvt3mPZU7Tn3r/TrMep9cpZXBs2fEO5ybtmlKIqqpgaeQu02qYJcvVZEw6VqQgYj+QVVc3NMRoyE/CrLwBQ5J22JCTy5KwjsIsjS76Xal9MBUqrV2h8GoMXHlQBFaOKVYZ7L2JaYPOm1h5cC/llSewViD0VcXB3POqqjgYQZaqsXKYpZUH+wxYVVUHR1MHM3hF8qEODzkg3u4/2HUJcykruNS25rgiodXZcs+jXIUlKYJqfq4KDVlXvl6S+qo1hJaAPlyUOy9qkc4L9FlxhxOssKEVHPURWqn6hSApWk3ALDYYXaf06ZAG6JOqaOx8r+cthTKqwsrTuIAMZAWA1aOPcEaXEVVYSq8EpFIgM8OFi/2GzE7T+xpkyfYTwPLxy0v9mE7zKaZtOHgYJnC2r/W2c2+zUskiAEv3Ras9ihIueWbJMVNdkMRvDhn9Bn3ws2phqAtQycbPuU4HnIqkE0yVDHM/LV3GcSd7z1laIUyApPFoRvqGS/AqAlSSYzFfpqc+AixRYrkAxax4b4U/BosWlqVqYcsLtGjEvD2DVzE1NoxzDV8VtCYvKlVihfeQv6UOqYDAkTU4bgwWVoBVvf5RUGAdGcaRTWmDrZGHeGDJs6yjIEv6JPU60vFwiJiVWHPMMcccc8xx/cblTSckxIqEefrfQIVF9TrpdZxmMGhnAL4KUDau1NLYG5gNFsJ+IOtSY+Sqfpeh+3g72boZBJxabnS+KqVUkRUWy9MKa9hVG7uPdi0qs6r5mf8VMARZLgNejqXEPAfVVQ6zGhOqWzkAFpkSSwzfHVH48VzCrDzUi0tfW/Kx0uC20HXU58ozoQ/eVwKzkvpKVVf6mpkEbnmDLoIrqTTomSK88t6IKiTAK2Yx352qOEh95XkVXiu8Mk7GKD6r+kqN3BVy5fCKOU6L8CoYu4eB2AqoWOHWXAnwho4eDpY8PI+rsCL0CEoQDavV/cLrxgAtiXk0PNCxemIFPyx2OMEGF8w5SFW3Mn0rNxuncOHfmtCH8GdPCD5WQHS31juHBlTcRUznraTCssEAHoG39iGNsIf4HnXURSVP9IOipRh8ByABIKYdGia0IfWMMkiWh16wa/qfohsFRbmCymR4p25LkvyGyitGAkrymgIUS8vr3dMFrLREFJRXkKW4HLe87xT6LuML1WENVGp5GFg4bmBJfLF6trBUwqF9Qo3SXTB0zxVXMt9JBcQAr3JjeBkz2R6FVEJJaRz2oTFy1z7BypBOGFwV1T/LoQtphApfm/gdabnBWPVBTWHVvyVAjlk1/s8LUqovVvKlktOzDSrHtQufp5e/pw33AJZYWAFkSyvr2Ph3KeqrIwscG4+FYSytQiyPJtyEsmoDMPIZeJLvVAYdzBNrjjnmmGOOOXbF5bjhsa8n1mtf+1r8p//0n/C//tf/wvHxMZ7znOfgh37oh/D5n//5cRlmxqtf/Wr85E/+JB588EE861nPwo//+I/jqU996kH6fC3HZU4nTABrEgrFZTEAWPW0oRl51ialVMJtVlVjRvDF8z4xdixfjD/WSD8GUG4E8hXPeZ8CXBuFXTnAytvMlFryvN8fqm4udroCWWXjVVeKZcY6gQJkMQdD+QBFC5P5PA0xg1mN8WBHsCZ4YjnAG4rLGfKhMpOPMEsM4Yd35g0xLPwAcGn46rPPjdxrnysFV56pUF15pslqg70zhVl7rrpioKw4qPCqMm3PoZXpSYzafaawykzak89V5YWliquRFMICXulzNlxU3e3nACIoHEgH87Hiw7Y1x5WNhI/Kan5R2RHSCPV9utDOTN2DYbRjwIeUp40Xz6kN9+hoE32FkteUGm+3UFVWbtqeq0o0OGzDjRwnucJI0x81NBVRARZD1UsOLihuAPFC0v5Zbgft5iDJ7qlPicqu0E6dZpgvZ0GDeVMAa2x9BWK6b7peHz7bbZrWfLwSs0j73qCJmM2AQCM3FjSFsEGPHi0aWkalU4JEFp5CqiCLpsoSwrHhYCiZq8t4jQMsncfs4nPamTh4kr7JPsKstEiWcijlBDJV2TDMyOgRp2IEOcBqjVQf1L8fS3LsGZZ1HHP8u1GVYx71/QVrgIYJjqQisKggQ2VDI2mDqooUOCUKLDVurwFW8sAaB1h1HOp+R+5zdoi25phjjjnmmGOf2NcT6x3veAde9rKX4ZnPfCb6vscrX/lKvOAFL8B73/te3HTTTQCAH/7hH8brXvc6/PRP/zSe/OQn4zWveQ2+6qu+Cu973/twyy23XO5duapx2ZVYNXDaqsLa0UaeRlivzyjf74JZNQza5rNV/I7XO5ZMKW0wTquWvdgY6UcBpsb6uM846vMoFKvap2raRAzTDEMTA1BVrDXR6Wp6roIKc/IS8R4oYJbwEwFYvTcxjdAzBYDl4Y2Lpu8GjC4CLYVYtRIrXESG+Xn4kUF3ob8+gKo8bTAHV/o6V131BbwSaOU4VBj0RjwRghKrAFdewRUSvPKI/lcRUmk6YQWuFFQpvEJ4lmU4Phepg5n6ihRkZfAqQquJQ4g4O8YP9XdzOdqa44pEAxsvwgkJZGnkrxVgqdF0E/x4WiNePgqbOACmtWOsekkl7FGmoOUpZbrVhhtYtkH5Jd5RjgECwTGicbVWA6xBD4V1AMAW3kYQ7yvSc8T0AaYAK6Wquag+GhsT2ZdhRAgHKs6dU1Gn+cX+BCWUqqly1VX+Xl+boJGaglwMhmMPkCkUWNrH2odLx9GE82sPEkXtxB+pzz5Tyw0aWgos15Q9qJ+UwijxvmqwjGqn4JJYqrcoeIWFdQg2A5sCGonsqFpXoZTCqyLNkAwk5bFBgyVaDL1UDAwaLOWYJR+Xy/9qNA1XwJIosFoyaA1FJZaqrByTHMcBYi2tKK0o/LSJcJbFlsZ5DsoqwsICliyOrAVzgzONwa0Lg5tb4NhyUnMBYbtJ3SWfD9CHz1IYYDKNLz5HXSZ73++hhN4n5nTCOeaYY445ruV4y1veUrx/4xvfiNtvvx1/+Id/iOc+97lgZvzIj/wIXvnKV+Lrv/7rAQBvetObcMcdd+Dnf/7n8ZKXvORqdPuKxRVIJ6wUUyOxrwprAL5GANaoF9ZIv4rtAAU4isCobqYGWJcSIyBp0Pcp4LRvu4N5PP56y3q0x3gWICu0vd1OKKcX6X3y2RJ5jr6nKr3QMcQHK4NZ0bedOAKsXJUFD3iicFmSvLJyoDWmtFLABQy9OKYglgIsADFFME8dVHDlFVgFMLUNXuVeVxFcBWiF8JpcBrCC71WCVRRTB02sNqgPjimElD2MS7Cq9MOSq7joeeUqeJVDrKkb1CZ9/Ewkbc5xwwaxCX+HQ4CSRzRzRwmwNH3JZmlMgICmjWdccD3W3KMLGGu8bYuGG7RYYIEWanAe+Cz0gNVqbI7FE2vsXKdKonpfHGSdtM3hvuYAS/uqJuaiBCrT52jnmEmKY+7RNbXcWOQAK4dS2y7cZZ6bnKcpghgxXq1BHZEq8xAJi+5z3YfUvzRGFi3aDGrlvmdxvXCzwqFDF+CSQixZT1P7IAdXprRSTZkAmhYcTOC3RQ6v1COroSVaHKFBKwbtxX55gFqYkD7p4eNy4oPVoIENtQfTeInCSlRWTfB2a1Jx35jOr6CpzaSGnlNlT/F+0/0FFoZgrIIn4KaGcFML3NQAZwLE0mUFaCW/K21b/0rzdP38zqNOz48QZsLGHwZizTHHHHPMMcfViLNnzxbvl8sllssdhQAAPPTQQwCARz/60QCAD3zgA3jggQfwghe8oGjrec97Ht75znfOEOtSIvudMgqmRmMKVk2kEY4CrG3b2AawxmBbwX2onBaVWFVVwkMArqwfF+WFNWgz38cJVReVyw8qXVXvOZuUG71v/YALwKXwClkZ7RJexS1UIAtIFzt6cTamylLzd28o+ltFcJWpq6IBfIj02iaT2UJtUO6jr358ayphDqvy15I+KPuq8IqDOkv9rmKlwdyoPYNW8ATyBBTVBeVYHKs6qAArKbC4NHHPjNmLyoM1wArKK9lOBq30OV0d6Uc3PCwcoAcYQUDYIYKYB6mLl9LWHFcmbDS9TiAr95ECMjAU3icvrKQwyYEWoF5YHivusVbT9GCKDWSeUwA0jdByU3hPeXBUWGowM3rmCGT8BJjKcb0P6iM9bzUw8LQNHmUwi5ZSRa5Wfek4hapyeeSQh0QaG9dJ2+CqLQyW0eU0LbAeN9mWqZafAoUG6pmlbldj28vDhrmtMfG0YmHiWJZeX6EAR0hfJDZSaY9VsZQM1gvfrdCwQwNDFn1QY6V+W6g3lYMP70f6ShYMAxBimuFURPVVqFrY4ihUFZRkwHws84qLYvyODGCVfzsxDZco/l00ocJmawT8NtVw50USZDxSqmznS1CrIKw1hEVI3T22wJmGcWzF/yo/GuTvlEP6ryr4KFQOzf6mq78x+aoZHhfdpVo3aPuzEuu6jDPW4zhUGVzW1QkrvllXI6yrFeYVCdu2nFdXI9xVAbCuZrg4U65fVx/kqtpgt66O/0vIUK37UlcTpGpfTJWdXL/fdVFTVx+0i4v/G62rFU7ddJmKwQ3RdVV9sK8+l01VlXIxnejuz5cV/sxRWeEvr2QIANRsLwRF1QHLdfXBqnJi7V3gqv7k+1JXG1z/VVltcPWpsq/nHir7+vG/KqsNfuqknP/wpuz7g13Z3oPVvpzncvvr6vtxk90Y6qvPvJu8G749Ou52L7RH9MywB7oe0EqLj3vc44rpr3rVq3D33XdvXZeZ8Z3f+Z34G3/jb+BpT3saAOCBBx4AANxxxx3FsnfccQc+9KEPHaTP13JcESXWKMCamj7Rxlga4RTAytfd2i9k69QAqxYqTQGsPC7mGM/3a2Je8XoAlvbc6BSQqsDVcD29CBrfTg2ytnahutNafjnVQCu//Esgy3G4+5utKSbJYvBcwyw1fld41Su8CgBLKxsWsKpOKcxAV9xmfhe/uBii+JhSXCm48gyBVbpOBa+YCd5l8CpCLAi8ylIGU8XAIbjKjdtr9VWCWFyosMA8UGOp+iqmDvoMXumXq1YjHDnhF8OaXVQzjS9/URHSIQ/W1hxXJAQt2EJdNBb5xbYJPj42XJQrxKIw3yOkE3qHCwFhddSNAhZV5hgQWrRoYSM0Y5ZUqjw8kgpLAUh9BEs/BCj0WkkQHhtBJQCAhiV/K4cw8uwiwGL44OG1hKYU1p5hUyDMEMX+1T5do+ObTY/VCyMo8uhR/hBl8tGPSsFQ2gc/mJ/20QVNkfZ9vE8eUpOjCQb/IKnU6JjDWkF9FQGfqsREr9SgQc89Gkr907TVMUP4TaheqCbs+bGi6qWxqobqryXRCvDKdidfXk37DcRwXtyrpIagDWCq5TZu22ghgDC6lqUNBViqwSrgrwIso/BKANbCBpBFpacckKuuVGmYCiJoPxQaL4L31bFWHbSMI8M4toyFmT5x5mOi34fl/HDsMIUbUQKyKPvrWrvxY/e04cO/Q7U1xxxzzDHHHPvE/fffX3hi7aPCevnLX44/+ZM/we/8zu8M5lF1E5OZB9MeiXGZjd0xhEMYeZ9NLyBVfM3lejsA1tb0xRraFNsbu/AegVfFM+3NkUb7UG5sANS2emHV47LPNsfaG9vvsXGfiH12XzgFDaalNmqgNQRZUe2lXllcVhNUmAUgGYeHtEKFVXJhGV4TD8BVnTKYw7tiW7qd+u4xkteVwin1uRJ4RcU8DvAqPmvVQY+yymCWMigKLESfq6SwyqZn8Co+54qqDGrloEogFZLaqjB75+h7lfyw5Gongis9ZCaglH4uyDyxYntz3LBRK7CA4ZdyWpbiKdKgTCNUL550Yc7YsMMJnSD6So0UbwAy/yQYNJlSRysJakQ/KM69oeo+JoBF4XSmZucdOrCgmQDvpiMHWDySnqcVHAnTii5dzgdYPLbcLsAlfXdgGqYS1v1XOOBIxtsQw7KtlhGQxaAIs2I/i7bTGDZE0W+MWGCWwkRRiennJIbyLrTXoIkfkEHSm+XHWoKnJn2YJPuW0icdfPUZqKKPgmdXajv9tIom8JwAGwc1V1T/oUHLy6DEatEEKNbDScVO8sX2AFtUIsy9sPK/IwW7CrAWBlI9kHLVonyfbrx4X+kNcpcVRSBIVUBVdi2tAKxbWsZtjVQcbPWhIAry/ah/bXqKFxVW8uQq1FYxDV//vtKPPv1u7vwj/4f5HHPMMcccj9y49dZb9zJ21/i2b/s2/Jf/8l/wW7/1W/jsz/7sOP2xj30sAFFk3XnnnXH6xz72sYE665EYV8TYvVZjxXkhCg4wtg4m1p8CWNv6g2ydyxXKYC4xeBtEuhSAVYG8ywprI1QaGRAuDwIFRhwBVg2ygBxmUQazgASZRIEVlibEioZ1qqGuY6i8PKxVZ2NeWWMQK4IpIKYMKrjK33NQYMmz9D83ax9VXsWKg0hqK0asNqiVB8tUwhxmcQG1crN2ff3O//hdWz7Iyxtnz57Fbbf9wCW3M6cTXp9RphBmcIFy0JDUI7EaoUkX6qry0L/9zst5QFRE4wBL1DYYpJkRJU0SM+D13BTajmoj5px5xD7rPhEhpnaZLV9O29Lp8iTqXIk1FZeS2lSAu6y9fXywUhtq607QkWXyE1Xl0tJj/TeqAgsqIQMOzySfib4epEVSbDPHZwNQijEl2zK0+/9n77zj5ajK//85M7v3pgeSQAolIRhpAYx0EENNqCIBAUEEBaXEEhARBExACFLkF750pQS+0r4oTaQFkFgIGppfAcXyJSSUgNT0e3dnnt8fZ86Zc86c2Xb3ttznnddmd2fOnHNmdu/szmc/z/MEUFUK5bziNNRQlPQxcfNmpc9tJxeJ1FkXJyGtYVINMzDee0qYikEoJkcgNsRH1b8SWlUwoZk7rBgEaAkD7cJSfyemE0rlqioK+f4miKSAQc7rKtJwxEcH/8pe2UwHbBUij5jbCCRIi7Id7ovDCRmGYZgmQ0T49re/jfvuuw9PP/00NtlkE2v9JptsglGjRmHevHmYNGkSAKC9vR3z58/HJZdc0h1T7lK6JpzQsxzIilIZsSsRm+zn+fpQzQKWuazCNqJSh4ZQRSLRh0y9xd2UnMf1CkeO8GQtM9dV+y5liYBVGqsdMyz9cur1TV6abrLbSDedMQdSX9KzQpYSrsxwQzMPlwodlF2mAhXp0EJbzFLbENKKgu4MlXjlfmX2VUyS+6kStKchgwSkIYLJTYlWICEdV0bC9ky+Ky1g2eIVVIigErCUs6psuqxyKg7GZIlbahnDdBeugJUXJicMd4kpXglAJ2BX7+RyLL8AqOTeAjFAJa+QZYoI6lxlnbI9TiwzD5aALbgp8Urdx5COqSKFiFHM3b8AAgEFIBFCZo6SQW9p6FttSa19+qtb8S+P1F1G1nM1PxORUykuQACQzlYo+xPSy2SGF8ZaQkyrGbpziShGCfIcGBq/uChxq0xxkjBfJZ5Xrtq0re+x+V5TAlBMhAIIQCsiyibWj4kQoYSysMMqAehE8boKoUr4jkD3EaGESJShkvZXej0Lep2ZpN4WrELjPhVMpYuxXyjQovJXJbsfk3RbIYmNlHmzsu8LIaRALOLUfVUw3FwMwzAM0xfQTu8m9QUAO+ywA8IwxPTp0zF9+vTc9tOnT8cdd9yBBx54AIMHD9Y5sIYOHYr+/ftDCIEZM2Zg9uzZmDBhAiZMmIDZs2djwIABOProo5sy555M54cTAllhKq+tJbDAqkhoRfVZYpfnp8Oqz/1vxoqildmXuXmS50kLWe547jIy7isIaxVdWOZy377WKmR5UNc5+lrB2rG0TSX3lv8CKq+x0H2lVSGFJWQp4YqStrZ4peabTki5tMz8Wa6Ypdp5Q0iVeJXzflBiVfo4XU5J+GDqtEqrC5ISrUiKVUSwhStKqwvqkEHncSpIJdUHk4qDouyIWCppe2zeVB4r47mqPlhuzgm62yE0xQWp+2K6HNcJJZRQpYWrNLG0KWSpfD7lWIYjtUWkk2gWqYhIlFNHls5LJIUGGZqV/XuPjbDXzHIPrngFJO4xkkJDgQJQkqo8K9AFukpjnEhqlCQQD5JcTZWIk57N58opluegyluu8mCZN2uujmCTCoBSkAoSJ5GSp1IxiHRoXExZISs7P4EIsf5bLJPtdIuTTwmVE4uMuWZDBT2CoeNgCkVguLtsUU0eyxhlFBFTrF08rpDnHhMV7ielqwgltKOEdu0MNCtRZiozGkJbmOQFM/tB1VIAAQAASURBVIWrMJC+LJUfWCgRC0BrKP9OWhPXIpAma48JECEy7jgpxqbCcBgAIcm/uZYkkXu/ym/DXgN53tcd6aterr32Wlx22WV45513sNVWW2HOnDnYfffdvW3vvfdeXHfddXjppZfQ1taGrbbaCrNmzcLUqVM7OnWGYRimi1m4cGFN4YTXXXcdAGCPPfawlt9yyy04/vjjAQBnnnkmVq9ejVNPPRUfffQRdtppJzz++OMYPHhws6fd4+hcJxZgCVAmWpRyxCvbjWUIOY4A5oYEmoKZO36mja9dJdzvJ0oo0vepkGU1M9u427r4xDgfZrtKApdPUMtMLh9LqCIlKSUJVoUtSgnnudymYvfepgJSMKNkTJHMA4aApVqbgpacg+GuIqFFLeW2csUsNe/IuNB00eGNbt4rSgUr05WllxmuK4qd6oKUilSIBUDQjiuvcKVcV/omDFcWrIqDQRkQZUJQTpe5wpVK2K7yUIly2matgKiCYtpAX0yXYF6wK1EhEMISy9XFdegIWOqmBKy2mNAeySowlAgSRRQBAsoiApzk5ELJDSTlApeYyEqQXmkftDvGEddDIQWZgkhzLrk5v1QomUCIgGJAFPX8fPPyUe0HBmu/ahSwSMtQtmiTlxxdzdXUOpRAowQrQOZ5MoUsJWXZpD5Y6ZJK8z5ByJxnEcVQ3iYXNzzVxXU0gWTIoKp+6Dtm+vjkvB/UWCFkbjUhBEL5yYk2KqNEBbShgEiUUaL2xNXl5tqS8y4g0OJVUd2rUNpE6C0EQotPcp/kEVZVCAuBXKcStpdJRqqrXFky55ZzXKDCDZGMKdu2hmuPiCWdjt2T2P3uu+/GjBkzcO2112K33XbDDTfcgP333x+vvvoqNt5440z73/3ud9h3330xe/ZsrLPOOrjllltw8MEH409/+pMOIekrtISkqxK61QjDwP6b7N9ivy4tBfu5WZGwo9UI3QqAbvXBarjbu9UKC86+lNvT9ZEzVhBUmbvzN1yoklM6zhpPLapVI4wrVJ8ur7T3SzhXpVRl7Gq4/YVVfrAVbulWg6DVPnBidX2TE86JltyCMU5/cbt9bNqX2Z8TKz+w+1u9Ip3fx8uK9rp2+0Vuj+w38PI2+/kHzvNFJXtukfM9qux8HprVBgHgpqW3o6tZtmwZfjn03i4ft5nU4qAXQmDWrFlVqxuujXR+TizzsSlcedbbghZVdGFltnP7y52Tqb4Yy+u9XnWFLA9WmGFHrod9+2UcJ2vAats44p95weP+reReEBkussx25nRqcbYBUJWHZLeJKJQIg2racj0ZolVWSJP3qXhlClqmmOXm0ALsdB5pTqx0/mpclfNKCVZq/9VzIiCOgmyOK53fKke4igyBSgtO6t4Ut5CKUGZ1wXLivkoErLCUk6xdVRPUidqRJHZnwYbpftKwwmz+IgD6Ir4Y2JUI1XfDMgHtEbAmklXVYsgKLS0UIkJkhXbpDERk58NSpFUAbeeV7y9FCW6mO0YhkknGsQAlCcDdPlLXkHJgSbGLRBKSRqlgVI1atNdqDhQlYEWIrAt0V8DyiVeuAyrNpyXD6QgymXk6Vn6i/bSSoXwtIsQIKUhC7QJDaJNJ89W4vvDUtNqk4ypD6p5TIXyuq81EbZ0m+Hf6c3JTyfdsgCgmFOMAa+IyAgi0UQAIIKYYJZHkazO6Uu6roghQCGQfLYESlNT7DVo0dd9zvlxxMYByLB3JLYGwwm/1uEKNr/7eKBkfaAmAlioXyEx1rrjiCpxwwgk48cQTAQBz5szBY489huuuuw4XX3xxpv2cOXOs57Nnz8YDDzyAX//6131OxGIYhmEYoAvCCS1hCn7BKZPzSmSXueszzqUqeknDLqxKmEJW7q/aonEhy52nWb1QPXfX5wlHwv2iXdsUdHhhsgOEJJTP1Xl84lWN+0skr0Z1zi0B6WxL5k2JK8tK/u4KblrEQka8AtznVabnOYapYCUyopW6dxO0wxGwckMFnbA/JVqlIlby8pHdzhKxIilghSUgKFEqYlEqZpmhrKqaYJo3a+24MBGU/bPoSF9M12C6sKTmI5K/5WS9SAQJYbuvzGqEMpyQ0B4TVpfjxKWjcmKlVdwAJaykgkwhEbHk86yQVXnu0NsFwhYOFESyuh4CKQRFyQnMTAxviz9FACWdNckVjKpRySlUi4AFIOPAUpgCVp5DTB1zACgbbZRQI5TvyrGAmjmz0vnINQBQQIhYJ1CXlQojSCcW6Xmm681QPP0RLJIwxOS9YQqQSH4cCSH0C+v7rHQT/Lth+MrdVQyEFoAiEggjkf5gQVLACrSw6R7nJAQ1EGgNgiQflUBLmA2lDZ05qnBAda8StuucWABag7QIgrkdKHU8xrHMjZUKWGuPE4us90zH+wLkL/8mra2tmdLp7e3teP7553HWWWdZy6dMmYJnnnmmpvHiOMby5csxbNiwDsyaYRiGYXovXRJOqO5dAcuXM8sNI6ymh9Ri9knH6cBVqW+cPHHKEXY8aaUqQjWFDDqOsgZ2raFoKZLCHABLzPIKV4ZTqbpoloYrkuH0spIsi9SJpdDPjMTvpC9+HSdWZh7V3zymeKX2hZRQpYQ2LWLBTtLuVBc0E7Sb7iqfE0u3g0fASkSv/51zWtX59zk4nLBXoiqt+YQaUxBSea8i5/QXSk0gWUcoUZxUtJMNAyShWVRAEa0gIZOmF6gAM9dUXjLwWomTt597aew+dyvqmcsFBYCIoMIKYwFUy4eVjmOLbgRowaaSeOXm9EnDCRu7yHePoxYIKRuCaIpWldxmceKfC6Fcuek+qfmq4+q+duYy83i4lQsBGSbkhnqabivT0RVTmpfLxMzjFiiBDIRiABAFyWlKhSXKYxyiiFZqRSuKaEUBLUGIliDICFitSbJ2lWxdibgEu7CBeh4I4L4BTjVBBrGIIZoUR6/+TjbaaCNr+cyZMzMhHu+//z6iKMqUPx85cqRO2luNn/70p1i5ciWOOOKIxifNMAzDVKUMQtChcCq7L6D2xO5MZbomnNARsCq6osxqhGq9cTNdWBlXV73XHIZYUpFcIQlZR1KmjeGOUu3zhC9zv90+68mZVYOy570+r7CdkphgClfmhCjdXvdt9KdyW+VOWzm9KP1GroSnVBQUGTFMiVtyDKEPoSlm2eJVtg9rzvq5sS9m6CCkUIVEzIJen+yvme9K5bCKnJBB5RbKy3VluK8yjqyk8mCTfkBmmB5BIALtllGYf/tK2ohI5ruKCTqssCBkAy0gaSHJFh4CkrmxYkqrwpkJx635KIFFzy/NiZV3FotBSjXKOLHiZD5RkqerUtJ1GU4onUoqrBCQYo9P5NHijcrdZfTta1spCbWbxN03np3E3S/GyTmlP0Iot5u5vblPeU4zdy6uS86XdF5Bhs8mIOjqQmYIYkByP1TVwzBxOCnhKSJKhCHlHTNQOdtiIFafVTDeBwAECQRE2v0kNxNoCQIABQiSyf7bqIgiCigiRIsIUQxkGGFLKN1cZhhh6AhYSsSKkmHLsXysc2R5jw7TGSxZssRK1uu6sEx8Qqm7zMedd96JWbNm4YEHHsD666/f+GQZhmGYbqHWxO5MZbrOiZU8dnUSM2zQDSPU7iyrrfOFtYqA5XVhWcJI/raV+s208X2PNpZn8mO5opyeL3nELMd2UM8cfNSYq8rdxhKyAOeFSQUfe505P5H/OoFSkSoRvFxBS4+h+jPmZlY4tMQsHe5R4z6T7bBK9ysVraSIpQQs6DxXalm1fFeWKGWFFmZdV5YDS4cQkhSymAz6uDWpL6ZrUFXXAOmeUoIMgMRJKdtFJJPElmIgCmWOOhHKDzJXwHKFHJUoG2hFRDLXUyTKXgHLFK+0cCLk3MxTuEKH7iUr3TAtM+ysUqifDM+LkiqFMeIkKM8Vk+Lkl0GVu8kUsoD0tOvum89xlUeA2tJe5wlZ7niCAqicuWZurQJC6Yoz8lGl++gk/a3g1MobP4a9n2ZVuuxrnyYylyKWfC1LMSEwfgxR1TCD5McSFY0tXV5pv0Gc5FULUlEpFEAQCCncxgJFCtBC8igo8coMQywGaTVOJdoWDQGrECRvu+TzQhU4AFCDA7rv0hmJ3YcMGVL1wmTEiBEIwzDjunrvvfcy7iyXu+++GyeccALuuece7LPPPh2bNMMwDMP0YrrEieUmaLfWW8JVeiHgdWMZ23U4jNASV5z+vX1l+xCGyFKRGt1RXkGuVgeWO14elfa10n6o15LSX9fVc/nAVBuNZda41QfQji2foGXMQ//SbYpbiVAmBNLE8LW40qwndmig5bKyBCtjGSXvBUOY0q6qSNjhgaSEKmO5sd51X1nJ3FXuqyQPFsOsLajqcKaoEBsnKyVwaWdMIlihIHNNFQP95ydFC0PAUn2qkMUQAQgh2hEBBMSi5A2bUwKWFi6S870SslyUgBRVOJG6CeJ9YooSrKIkI5Z0ABnnXMQwa/8pB4cbRmcmHjcdS3nOKd9jvxMru/c+IcvuR6CAAspUtvpUQaQFBCgm+yQTyiuHnD2+GXJaSYDTIhJEpmqheSxCI0ggrXwJtITSkVWOpUIVC4EIlOSYUu9J+VoLCO30ckXKAIn4ReqjN3F6BVKALQSEFpJJ30Od5yoV0cxKnErAKjgCVih0gD9iSit0yn1iFaun0dLSgu222w7z5s3DoYceqpfPmzcPhxxySO52d955J77+9a/jzjvvxIEHHtgVU+2RhEFalbB/sfIXoUrVCAG7IqFbjdCtPugSFOz2bjVBt9qgi6hS/bDomPgiZ1ft+Tlzd+YWtjj7XaUaoUtQ5Uoxaq92EZRP5oeWdnt9uc1p7xyHQkt94wUFuwPhROoHboJBs62zbbXKiW5Vxrbl9vr2VfabrG2N87zNntzqNntnV7fb7aM4nbtbfXCF0/ajdns/3yzZ+3b52zeCYXo6ne7E8gpYpriFdL1PuLL0kLxk7m5/edQiONUBCZLihTkXq4Hb3nFjuXNz+6klN1YjNHIMKJ2Evjx0RSpT2HHHEuq/nMFNcS25WMwIWrqdcSFoursIugqhdn2J7Fz9oZRGf3EiXCnBynFauaKVm4g9r8qgiM3tk3FN95Vqb4UZKgErScBeluGEQZUywX0WzonVKwmROLGS80BkHPsAqfMliqUrRq6XVdvKSSihvMl8R66ABUhHVwiBohJcSApCUVLXTglZQghLwNKiiSBLyDJRz6IKuad8eZoA5JZQVm4sIMgNJdTjG0JWJWoVsqolvPY5okwhyxXURCLHFZyvHCpXWREhQiElrYjU2B5h0TmGptMrLxzR3WeZ6UsJjoH9HkGakL0oktYkEOnqtkInS1cfeRnXHZEWtAIk1WEpFb6k+JS8p0htI3QIYxgkjjAjebu6mQ6sYiJgaXdb0p+q0Bkk82f8dIYTq1ZOP/10HHvssdh+++2xyy674Gc/+xkWL16Mk08+GQBw9tln46233sJtt90GQApYX/3qV3HllVdi55131i6u/v37Y+jQoU3ZB4ZhGCZLmQhBk64Hykk/nBOrOXR+OKGLR8CS92Q7s8z2joCVEbuAfAHLcHfpe1dkqSIQkduHua2vT2t8NYYUY0whyxXmLLdXswWsWvqo9Deq9wPpwXaPoxlil3lBLDWr8vjpz9ZZQQtp3z5hixLlUxgXHcpZBcAfVmgopVq8UiGBZoggQS+zc1XZriqfcCW04GUIWOptZS7PJHsHRJy6r4KyFLA4nDAH47VuSl9Ml1BIwgmVuBQnF/8KefqhpPpgjDaKABRQCARakspvBEPM8rx4qtqbcnVRRIl8BRCiTFslYJlOrIouK1DG9WT2Jyu7OiIM+dup7EsxoWJKd9NxlCeG6bl5BKxsuGG2Ql6juE4slZTdHEvl1QqFDKPToZyU9lJtPtUcWXLfU+HKrLhYREGKnpSInIk41JI4spAc14hSoUkgDQ2MSSAw3j0qyTslQpb8iJdl/oIgQBBAv2dF8sOODptN+g2ApFpiWl3QdF+lN9LOLCTbEoByTCgZ1Wbd/GyMpDOqE9bKkUceiQ8++AAXXHAB3nnnHUycOBEPP/wwxo4dCwB45513sHjxYt3+hhtuQLlczlzwHHfccZg7d25T9oFhGIbpGjgnVnPoVBErT1gyRShLkDKfG4Ye8q2H04ePSmGETcJyY3WEjKjn3tcw8TwxzRR7GsW3rSVi5QhYphilxKZqh0u7qyhnefLUEr1sYYvMe2NO5M5ZDWOKcFp4UkIWbOEqaaNFp6SPSuKVFrGMKeu+jMfKiaWSt4tYClYiAp6/8fQqB45h1g4CpG6oMLnwlwYdeelZoghtsUBLHGBNJF0ra8qEMpHl4rKEnSQ5uylMAVJkECK0nE4q15Q5nwgkha08N5YhYGVzTyX9JGJJZm7GuC4kYiMBeppQvVbcCn7eMXIuwpXjylyvluU5y3zVAc32qp3Q+5O/L3n7KZzXRvZrV7i0tw0hEjErQKjDFAuQBQVkOKtdUdA3shaaVCJ4QaBE7AoIQCzT8qttVY6rUOe4kvmtCoFIHVTCTsJuju1W5rTnJBAI0k6wVMAFnl//Pu9xY3oOp556Kk499VTvOleYevrppzt/QgzDMAzTi+iSxO75IlO63hWzrDYJFUMSgdqEnjxqcGRlMEWjPAHJN5RQbixKnWYw7zuwH3n7UE+XeS+YUZkw0y5PwDLvTTHL17dvHuq4VszzlY5Jahx1IHRuLHM+hngFSNEqeW4lZTfcVVrI8olPbq4rt6Ig+e+960z3lU7kDnZe1YgggmiS7bdZ/TDViQk6v50KS5OhVQIFIS/840QAUuJEBMKaKJKiBMUoE2FNORWxlEikRRuKpYBEsXZ7KXyhemZ1RK+zKxHFKGe9uV0AW8iqeCwS31CMGCTiRFCTqPxRSvwxRZtKuC6sesMFBQK9jXJQ1YIvV5ZvmRIAkfPxYM/FFKkEBOzy18I4JiFsFxoQWu61FlFAS5AmUg9F6oxy52EKSuphIZCfF2EowwpVRcNy8hlTDIIkl5VIE7MHQocFuuKV+Vx/PJHMc6WcVmGyTP5OIlBI/m5UdcL6Ut/3XWJEEGjOB2vcpH4YhmEYhqmNrg8nBCzxKvHbZ5qkYoSxjbEtYGgXtYg+lZqoixVTbPHNOW9z5caqJmQZjiFXJ/Iljq9JVKtXeKtGZmIVBiPncSUBSz32vaa+cTMHUvgXV0XYc/EIbzq/VezJbWVsK8xtfEnaTUHKFL8AnbTdK27FznaGgBVoEYsFlZrgnFi9khhkiTuBULmJoB0sRNL5AkhRpkQRgkSALsUBosSFVabY6leJGDEEAkrD+qIkxCxIBBolCClBJUjCG11HlsqNVa0inxu2FzZwsnZD8tStknvJ3d6XE8rt2xzD97xSni9zDFPgch1R2fDC9LWU92lOsbzxTAHL1796bIZtBoaYaeXpEgKtIkRRBImAZYYJSpHJJ/UpkUsLTsmDKBGWIhIoEOkcV2Z1QTevlRueaDqwVGXEmNSxScUrQPZDMRALodvHfMqqGXVWaFZfDMMwzNpHhMoFe+rtC+CcWM2iS6oT+jATvlvJ332OLJ/IlSN+ZbbtjO8WagxX/ILneS19ZZxYqHjsOoxORk/+5YBffHL3y2rjmbASiDzbkOnqyrzeZn9VDqZvdV7eKyUoWaGPqfvKSsoOpEKU04fruJJ9uuvt5aZQZSVvt7ajbD6siHNgMWs/keGmUSF7KodVIQCKAohMkSH5o2mjMkqRzKnkIxWwCEEyTpwI26kjJwCokHEXKeFJ5kuy+xU1nuetnFXGJXM195RyYanHYeLFMh1Y1frx5b4yc0OpvmU//kTtpthkurF8+Nb5XFfmOnN+Qs1ROemc7XwClhKrZNVJ1S7pP3HKwXBWCRgiFIR2YaVOrHR7nyCk3n867BBSjAKAIoQWkiKS46hcVkrAsqsKpgKWKWTpceJ0DuZvGOozKSYpZMUiFb1Yd2fWdsKAECa/eJjV2ABgyAC7XJxbcbDS80JLfX88cbnyObzeaoWBk/zQrUZYcVvn9O3uS73VCN2KfS7kzC12qvS51QzN9W51QZdq68tOVb32Vc4PL25lRmdf3KqQ7nF3KwpSlPbvvqax85HXtsbu7KNlRXuuVd4zbkVB9/0dueNF9voP2vJ9uMuc/fpPXLKeX/X2rRXnxjQXzonVHLrHiaUwhaicv21fkneqYTtrm1o+m9Q3XPdxjX3XnBtLubHchO7CWN8otQh4boKxannDyLPM11clPH3oX8qdY2hhilkEe66VErS7YzmiVcY5FQkpGpkCk9nOHUMJVbHq3x3PaOM8NisOynEouz4RsIKIUhGrSilfJsF4XZrSF9MlJH8GWixSoYRKACgEQIFSB1IMQoQI+msYASFCmeMoyXOUlwvKdO6QIeKYooo+ZRmfBUIgqTgntKvHFYp81f/Mx6ExtjkXEyUsqbBCmTa8qNsXGgwYS4+D6VSTmaTSe7IEMldoqmUM9/on73i524HijLNLYYcQJstUBUlA509L18l7ncSf0uVKHA1E6vJT7zEzPxUhzTFlz8UQsAI1frIfyfs4imUbHUKY9Gu6r0JrGVn9A9JhFZn9OoeOEidWMZCfH6W4eae+vkAsYgjRPdUJGYZhGIbpGJ0uYmXD5pCKUQFlc2EleoPrRvLqJTVqKFYnFXMr1dBn3jzqueB1y27l9etrn9umjvF9uHmiyLOu5r6QurBM8chtI2Adc3WhkrHma3HRfTPZ98K3D64YZYlQQgtXopyIWU5oX2YOQNaBBee5scwStGCIWBFlwgpBSfigUZFQCVhBiRUVZu3FDTVT1dlCo2JcOU7cK8nfYhkRIlGW9yihiFa0Uiv6owWhTkhOWvBSRLBdRXlupphIu3YUeZUK85K0u8nOlWzmC4GT803yTom0aqJyZQlKfFjGnPIqEprjqmOQZtqKnba2kOUek0riUyWUa6xSqFUqcKWn22pjBckxUAJWQQSZSpIZRLqtEkcDgSTfmumSMkQ7Yxra1WV2KWC5qwJhiFhCFiRQ710lYpmClxKv1PYuEaUfkWZYoZwboQghi+iS3J7DCRmGYRiG6St0S3VCAFnhyhWz8tp2lEaFLI/oUtGlZJInctUiYAH5c662fS3iWtXjUcPB9whUXgGrat4rSUbM8r0mPuHKEqoM4SonObsSkGTydKEdUJawBGSPo0ecsnbHXW+OZYYSWq4v06UlwwefveN73uPD5MOJ3dcuAuV4McQrIiAyBKySaEOEEgIKEKOIMmIUyXbzuFX21L2Zv8nMNWXmsJL5ulKBROXFEsljsxqiFGXs5NquUOWr6qeEJj1fCgARQSRynCBf4vnK709fv3L8QAtZShwzBSx3zm4oYj2VEdMxRdVtCWQJg5Xcaia+fGN526j3kxSUhOOKytkmWQ9D7BKGwOrmtyLIEBaBNGzQzLflSxBvvpQx0pBE8wZI8Uq1jUjOjQTw0KBfVTxGTBaZ2L05afA5sTvDMMzaSRkxgia5bctJP5wTqzl0bTihuggR2WXqccWv5VrsotqFLV+HlarveReLNIeTR9BQbXzzbeAH7M5BC3CUY49rEI+Q5wvfS9cZQ5p5r0yB0DymrmCYN64hlPnD+NI5CTWkEqwSB5YWltzxnLEzApZzn1fBULm7AuXCMvJiZSoS8k/qjUFA8xK7N6cbpjFU3iEV4mXmwyoj0g4s02EUiTJiKuovCoDtejIdWK6A5av050vsru5NwUUIgYBS4UUYl8fmNmZC9ryQw9QVJWUy96uTKV5VCs9TApYdSpkKWLo/Q8iyZ5AeNzsUMZ1hOlacO5c0FNCenzvfSo4vAlnHjohkLij1gwdBJ9zXYqPxUqrTqZXw3WmnXFLmPAMhQwYRkxavgkS8UuKWynGlxDBKxlOhgkrACuy3VrJfydxE6rSKSebWao9liGAU2+KVPF6q8iIy4ZtMrcTw5XFrtC+GYRiGqQXOidUcuk7E8riGtInGdWH5NJVGdBZLiKjFUZTvSrKELM8675hWI/96Kw9UPfmwanVxmeNWErI8c6tKRrzx9SmSdc60MmJWzuCV5mQIV7rPSuKVISilzihhO6NyXg4rF74pUFn7nz7PE7CUUGWOaQlYRi4shukruPmMLOeSo2XHRIhEGRFKUrRK0rXHIpYX+4ms4uvfFbJqqfhn5sVS8wGQVDq0q9bY49g+DzMhu+67kpBFQCCUaGSHR1bDFbCqXay7QlaA0AlJdEMRUyGrViHAPL4B/EIWPMtle1v8s56T/GUiIOmQU6KjEqwoqRSYClmeubm/6xB03isI6AqESuRSwqqbpB1InFjJE9eFZY0BKVgFghLnlbCcV6UYKJO8+YrTxkQIheAQQoZhGIZh+hxdI2K5YpVAvobiLjeUhMw27vMK7hnvtDKCkqeRcQFjijTeRO6+MWtxY1UZt6b29eIKWY1+EXYFLFPYccUdc72w1xESAbGiaGXveK4TKpZt3dBA/TzJhQVTXDLFKXeuaixh95crXhn7b4pjeQKWcmaZubKCMl+ZNARRE51Y/Bp0Ja54pUQg5XAxRQKVDytGhAiGkIUYZUQoGh9tPneVWq5uKoeWL7m72iZU4WdCiST2+UoIoV1SqZiVYjqy8hLC+5BzzIY9ZcMEhbXcFbB8bi8TJWSptqZIpUMKRWyIJqqXynP3zVu9ttUS4fv2LXVfpW4sJWQpAct0VMXJ6+ITkgLhd24phJBOp9Boo5qZApb5/gTSj2/lwHLXKaeWKWQRUvFKCVilGIiIEMWe+Yk0HxZTPzFFgOfvqvG+mK6gJYzREspzV8GtyhfY545i0TlHBu7z2setVo3QrVRXDXIqy7W317e9We3QrZpXaLHbVqseWK0aoYvb3j2M7nj14B6XahUBXWKnemHsTC52K/5FlV/XcintYMUqe8fb2u3ny9vs5241wbDK+63dmUs5rrx+ufOeXGW0fy+yX4SVZD//+Tu/sJ7vuO7e1vM/f/Rk5ckyTA+gc0Usw2GVm/NKZNtayzPtK1xY5glGeeJHrTjCi+yjDgHI54bKtPEs9AlZtRyjvDnkjd/Ba/Wqeam8r4k9N3k9mN2hPFHJfW6Oo91VgBaMtHilHxv3xvYV3xuuQOWKZx5xKxXQzFBBj4ClxKuIkiTzLKA0RIzmiLyqL6ZbMUMJ1UV8RDEiUUJZhxJGxn2UCFmxFR7oiiYKJWC5Ve8Urjgit0m3FYLsOh1JWKHZf14uKOWWUqGPdqL5RExyTgNSAPKfG3zCmC/Mzydg6TnliFSpD4sQOG1qIU9I9C0znV3Ky6aSv5s5ywKIjJAVIFWM0iT8qZCVOz+RzY5EJC86lBglrPZ2uGCe20pua7wuZL63UiErIoFynApY7bEStAjlWLVJ5xCI1CHIWntjKJ9is/piGIZh1j4iilGm5pzjI+KcWM2kS5xYpoDlFbOqCDM1hRtaG5gb1k4qpJB/jK76sugTr1wyx7DK5FR+qUpCWj244lQ9ApavLyVkOQ6tjMsqT8gyQwqNPFNSxDKcV6aolSNG1TJfSzTziVtqWSbXlXnLF7ACFrGYPkRuVTmkIoIiRhpOmLqMlCNLVvIjSrMFqTC+CHbeJRVCGEAgFEFNYXpqrq5wYPYrnJ1xk44D0B1UCvUz3Ve2Q8w/T7Mghu3GUuKYX3DKiFyOSKXlK5E6uuw2leerhcTkuCiRTyXAT161zHEw3WC+cEKvkAUCkYAIhBVCmM7FPlbQz/MJhKww6LbJilj2YLV8+zDnp8IIy5SIWDGly2JKhDOht1P5txiGYRiG6T1wTqzm0OkiVn4SdykUuVFo+R0Z23dAiMk4e/K+adYiJDVKnvus4f4qHAifY6zacavjuOok7ua2ZmXAevsz27sOJ8DaH1c80tt73FeZSoCGG6ueOWbEK2N7K6zQCSFUAlYQGct8AlZM8sYiVkNwdcLei3Q2JeFzQoox5VhgdQSgHVheIqwuxyghglsNLJDBfvq5r+qYcmNJQST0u6OMqoYEkYQIJom1RaCSOQFIBKgG3iKuI8g31xDS3RFoIS7wztfq1zmJKf9UPdRSedAWlOIkY1c6P9P9pnCFvTwqCYm+nGIAEAq5tCAChEKgGBhJ9UUilhGAJHRQVRVUIlSAJKzPN2bye1bZE84XERALIBIqnFDkJIvXP42Bkr4iyhq8VfhgKRGwYmRFOPtYyXNUqdO+qKzdUCJrN6svhmEYhmG6juZ8gueg9QZHyCIlXvnW+7b3Lcz7clfhS59X66l0EdLbr2HrrTroikX1bO9zXeU4sVSYnQ63M9saYX6pm0okYpRRRTBK2lqheUicTICIBIJIaPHIErZMAcsRpXJvvu3NuZqPtVCVClhBVEXAMteZVzjMWslFF12EXXfdFQMGDMA666xT0zZEhFmzZmHMmDHo378/9thjD7zyyiudO9EuQglYJlEMrIkIK0qEj9oJy9oJK8pltKGkxRmzrmABRYQo6rxOql+XQiK4KFFECOXgSROhR0lIYokilChCmWKUKEY5JpSSWzm2U8jXIgC5ApZbGTGA0PMLE2HOFLDcaoPNwgq9pDSRvFyXSFQUWG3c7QUChIk4mFftMW/sPJTbqlJfAkAxCNASBGgJpZBlvpdkhUFYAlYhkGKXahcTWUnVzVs5tgUmFe6n7tsiYE0EtMXyXi3TghQJfVO5rlSbtqS9eq4Erhi22890Yenf8igNOWQYhmEYhulLdKqIZVFnmKBPP0kFjzzVy+3cs623rb87va4j3xEdoUROBtnjUa/gVG3bZvdXx7Y+sTAjWuWsM/NIwRCulMClBSVDPNLCUQQEZYGgLPRzK4zPEZzgG9Nz09sa4lVmDtY6sudlilZqXq6AFVGyjJKx+MKkIVRi92bdOon29nZ86UtfwimnnFLzNpdeeimuuOIKXH311Vi4cCFGjRqFfffdF8uXL++0eXYV6oyjXFiAvJBfExGWl2J80hZjWamM1VRCm2izQs+kdFJMxJ7UFeQTPUTyL8xpYwlYiBAl9yVIMauNIrTFkRS0SFZDrBUlYPlEKFfAcu/dOZr3LvnLY32vwgPdtrYA6HGzUeARsNKk+AUECJNbLQJWJVwXmStmxSAIIVAQAYoiQL+CQEsgUAiEFLKcf6aApZKyqz0hSsL3jJsStpSAVU5upoDVnohQayL7poQpJYIRkFQgtIUr81aOgZKeh2yvBVJHwFKhklGcTR7M1Ebc5H8MwzDM2keU+HabdQNkTqwtt9wS11xzTTfvXe+m83Ni+YQp5dFPbpTXzlmuNtXra7x+qChg5UHZsesZM38yRle+8oh1Z52vEXLv67G/efqqNk1jfd3H3xTClJBkPnbXEdJk7uS0S9oKZ52eV6V5uvN1tsv2R5bopR4HiUgVaEGL0nsVQqhFLNmP4F/XG6OXVCc8//zzAQBz586tcSqEOXPm4JxzzsG0adMAALfeeitGjhyJO+64AyeddFJnTbXLcJOrRzGhRDEikvdrqISVWI02sVqHE6owwgABAlLClF+g8j23krgbApYSySJAO6FiSGGDEt+Rr1+38mAlVHij2Ydyh6lqiGo0V7jKSxZv7ot/efWL7bzcWZUSwqtjpObv5sFSmOGalXDHEcZr5brZVAhhS6J+KvFHnULN0D5TwAqFAInUhaW6Fcb3CyKSOdAgdMCYT7hUIpMKTxRC5tFShzIgO+dVW5T9XStSbrDY/xGZ+d0rmQt/VDQGIT8fXSN9MV1DGKRVCd1qg1WrEYb2c6vSXZXqgy71ViN0q+wFhY69ZyIjgtWsVAgAZafSoVutsNlUq0bozqcS5n4B2ePsVhOMq1QXdKsRlkr289WZioL2+k9W518mr3L6cqtlutUF3ahjt9rgKue5m1VkjdPf+87BajPOZ6ucF6XsnKPcaoQji0PAdB2cE6s5dH51QvPes6ziaTwj8hjbVxJ8anFqVUL1bY1X47a10pvSWOTsu86HpW9OMvd6xCs311WeeJURspycV8ZJ3ic2+ZLNV83f5Qhndn+UWW6GFloCVmQ4tGIjhNAUsOIkpxP/sMsYvP7661i6dCmmTJmil7W2tmLy5Ml45plner2IpfMpGefFiAjtcYxV1I6VWI12sQYl0a6rEioJKECA0AglzHNY5YkrWqCCCiWMHBEl0sJYjBARYoTGOCqpuLsv7vjq3ufCMvM96X6TDyBVma8WAauRUMO8EEG7TXadeYxUlcdC0s6XA8sUn3zHwM0qpPJtufOMjG2DxGFVCARawmR9nIbY2bmpYAlYxUA6quTc0gsGda4PRHLNQYBIFqpdyApHckEYqCTvIhXFglTESsMRKSOaydxr8n1vCnCBsNPQa6eiDoFkAYVhGIZhmL5FlzmxrPziArk5sSy3lokhKGk3Vr05m3oKlabdGW4sV1Ryj5uAfXyaMbxzQVDNAearRiiAHHeVsJcZIYKBeSXkCE8iTxiqILZlxCu1XglYpnjlEbHMPFc6J1Zyr0MPk2qEahnXTO8AneDEWrZsmbW4tbUVra2tzRmjRpYuXQoAGDlypLV85MiReOONN7p0Lp2BvFiXj5UAEoOwhkpYJlbgE/EfRCjZ2wAQKMrgNbIDCQFA5JxoQ+EXa1RVvxgxSsIdSyQCWYQCQpQRoAUhlBesUYQjXAnhOLFIClZlqBjofGoVryq5sdLQwNrdWGaYn+/Y1iuqmf2nlRXTcDqRlIdU7hdVPbBfKBAT0A6SzqlElVIOLAFVSVAKWGHyPSRKxCNVAVD2KexfwbV4lQiJlL4apuAUkuw/EASE8geWMFmuwglLMaE9ooxTTD2n5LGbSN59DkgBq8Q/eDQEUQRq0q+JRJzYnWEYhmG6ki5xYmnByhGvyGjTWc6kevUgSyBz3VgdnkzO8maM0RH3mRaEapwEGS4sY3xvuJ45B19lQXeeSrzyCkPCI2jZopE5vh7HaOs91j7RyliecV55hCv1+PkbT88erxrZe/JsgEjPYd9df4xweRvEilWgZStAbW0Q/ftB9OsHtBTxyL8vb3istZYYzft7TS4ON9poI2vxzJkzMWvWrEzzWbNm6TDBPBYuXIjtt9++4Sn5wrNqrfzWk5HJuKVoU4pjEAFr4gjtiSsqQJgJ/QlRhBlAaKLcSz6RyEUldVcECBBSCMpRvaXAlORkAiEgstxBedQj5ighSx2TAKLiBbfpJJMyXP5YphDlc2H53E/V5q5dbBR736NmH3l9iWRmSObnVj2UbqrE4SQCBKTyXAkEQljCEgC4lQLl2MnpOvkcUL8ZqNO4EpJiIq9oZM/X/NgixCS040vmq0orByoXlsqjVYqBl0beV3mACuz8/jTLDbbZW4egX0GgXxigJUliv6yd8El7GZ/Ea/Dh2HkNj7W2Iv8GmqMAck4shmGYtZMyxRDUnHN8Oelnhx12QBiGmD59OqZPn96Uvvsine7EcgUsCkg/13jcWvkdouaL1LoELK+4kSNkqX7ruXbsyHWm2hF3DtX6rFXAyoznWZ7XlyMaVROwckP3csQry30V562DEaaXMxdzns6+uHP1usIM8coVzTLtm0FMQEwgISCCAGgpypNooSCvUNYC4aK3sGTJEit2Pc+F9a1vfQtHHXVUxb7GjRvX0BxGjRoFQDqyRo8erZe/9957GXdWbyRIkmyXSDpiShSjncqIklSYIgkZNAlVGnEnDI60EGILWT58YW2UyCkg23Xkiiqyf0IZccX8VJXGU26iGPlV+pTzyMyhBad9GgZJNV9Q5yVo9/WfjpPtW4l6ysmW54Q0971SDiE5rpyLVe0wcalBmZWFQFEEEMLOa2UOn/eqKDFLmV9jyjqjIkq3z3NFmW4tShxgMRHCxMkVx4RyDKyRL2FShVBWtuwI7scuIMMo20A6D0tbJCtqNruSJcMwDMMwjcM5sZpD54cTJkgxi2w3litm5WAlc6+wzF3fKHbyeEPIcqlVUPMIdlVx+/ZtV2n8WkWoWueipqEOjCkMObmw7LxYFcQrV5vzCFNe95WZON0RsSxRyRmrWuJ2N1xQLiN7HDW+uunlOe+RelAuLJJ5sdR8qBBCFIvy5S4UZOIVxotIjl2z+gKAIUOG1PRhM2LECIwYMaIpY7tssskmGDVqFObNm4dJkyYBkBUO58+fj0suuaRTxuxKCkYIYYlkHqw2lFASMiNs6tExXUKhEToYZkQdN8eUi7q4V8nG06TqAQrIdwy5fQSQeZoqiWWNYCZ0T4Uzf0lh5YQqiXa974KyDrW076xAZ98r91MASkQ683i4YpYaX+Qcs3oTX5uvnZnUHYB2X6nHrqCk9KE8w60SmZRzS+Wi0oKi8cXCDfUzww1j8nvjVCigErHUMpW/SrqyOvarrhLdzHlFRDoJMhFhTRSjRBGLWDkQmhhOmMnoxjAMwzBMZ9KpIpYtVhEoSJ9nNBZLsOnYl66GqhF6+sgIWT5qFbJQR7t6qGXfukrAMsQe2c4RsGoUryz3lSNaaXELOa6oPCeWsy8m3lxXsOfkc3yJiKz97WgqMyVgaYsAkbxiDQKgkGTeCQN2Ya0FLF68GB9++CEWL16MKIrw0ksvAQA+9alPYdCgQQCAzTffHBdffDEOPfRQCCEwY8YMzJ49GxMmTMCECRMwe/ZsDBgwAEcffXQ37klzKAQAkQwVK1GE1WhDSZQQoaTDCU3RCoDOg2USJ62VmOJWPHRxK92pbeJE5gkQekUASsZxl1ZCCTJp68aEHfsUl4YQllFGOXGuxQhRSMLabOEvSPqIM8fOfZ5WZQyS/Y1zXV5yvdCz8yXWz9sfd0xzvXsTAtZ9GKTH1Dht69xVroNKhxEmp1YlBqlTruohFa+E7id1ZQl9r8IOTQEtEGm/EUlnYUSEMslk7jJ81XsYa8Z0gEkRVYUwxklYJ6E9jlBChGZV4GOYnkAQkK46OKi/XYGtWOy893oHdefs9lWqIVarXhiGFVfbYzsaa1glpWdHU7y549l92/vtViMst9vrS+3OZ3zsbu+0dyoGtpft7Vc7/bVHzvqSuz7tL1Nt0KHd2Zdq1QbLzvOlZbsDt6LgnLfnVp6AwXGj7O+FK8nO8+lWI2ynKiUmGaYH0iWWDjORuxaykN73GAHLaWs7eozJ6h2qZULOfVdTaf/rODaWgJXbxlhfi4DlE79IiVMirTiohCwjXFCKSPZyO6F6VuQS5L8h6d90VAm3X0u8glFxUCaTD8qEwP1Eqhft+kodWRACCANQsQAUC/KbSxCAqiVs6auoeKJm3TqJH/3oR5g0aRJmzpyJFStWYNKkSZg0aRKee+453ea1117DJ598op+feeaZmDFjBk499VRsv/32eOutt/D4449j8ODBnTbPrkJWdEucWIiwRqzCGrESZVFGLGKEVEBIBQQUoEAFFKiQSCxh4sJKP8rixBdkYgpYrqBiVvRTYokMVAy1kKPwiTNlPWL1m0+4qpQryqymqJK+F5w5qW1JxIgS9xoh68DxiVn+dW7gYmViz/5XOyZqznn7rBPFJ/sqjHWhECgIgWIgE7TrHFTkiDs5p0j9O4H52Pmzj2LbneWifpuz8m2R/TgiWYVwTRRjRbmMlVFZ5nmLZZhfR/DNLSJCWxxhdVTGyrgdq1FCCWV2YuVAFDf1xjAMw6x91Pr9rtYbIHNibbnllrjmmmsqjv273/0OBx98MMaMGQMhBO6//35rPRFh1qxZGDNmDPr374899tgDr7zySmcdih5H11QnVGGEiYBFajmaK2BlaKS75JdaRcaRZbVtgkPL187sNzl2dZO37z7xrcpxyghYWnDKJnM3x6hJwFLtlIAVp32aidorhg+6ubJg9FvLPhrilTkfX+iiqjgYJEKWDimsNkaNCB3bknZGQQBRLICCoEsEll5NTM07j3Qwb00l5s6di7lz51Zs47qEhBCYNWuWN6l8b6cQAKVIvq1LKGO1WIky2lBAKwooIkABAvKn57wQOZNKoW1qvQojNC/yRSKLmQKBcmW5mEJZtR+ulShUS+4sAftUYubgUmJcYkRIZiB9UGVEiEQZZZQgRABBIULk/1xf7TiaYZhq/1SyezeflmyjgiqV24syYYiqXzPcs9LYZjJ+lQowELLaoAolVL3EOefEIMe5aubDoozsCSA5zYaBTNpuCla+nFhyk7RtlBQpWBNHWEVpmKcS5zqCHCd9LoRARDHKFGMl2tGGNjnPrvmdslfCid0ZhmGY7qDWnFgrV67Etttui6997Ws47LDDMusvvfRSXHHFFZg7dy4+/elP48ILL8S+++6L1157ba34gbsaXZYTq+p391ouPJXgk9xXy3HUMGp7kU6tovHKFaLqGb/acaFkh6u2q6GvevHtR86yXAHJJ2DBaWeKRK4oliNgwX3s9umbr2fu1aoNmuKVHC8RsJycWLqvjkAAYsOFxd+LmT5CIZDu1lAIhAhRQBGUyEeuKyitrFebmFVL1IXraslzr6QuIvuP01fRL297d9Zm/ic5Fz9mvxFSZ1clxxWJWIcU+kII8+eYhku6/fsELDU/9VopScgn7qlXNW//tHhlhhKKrKgF2DpzRKm4ZLqkzCTqsQBiIRARIRSp4yqdg41QoYfCrj5oIsUq6EqhoZDvJvO3BnPfwpz9rwf1O4cKU4xI5pIrO38bQRPGYhiGYRim69l///2x//77e9cREebMmYNzzjkH06ZNAwDceuutGDlyJO644w6cdNJJXTnVbqHTf6ZzI+8I0F58vbySgOWuquR6oZzljVJLX748Ud1FtbFrDYE08IYREmwXljNGXTmwYDw2xsoIV45oJVyHlNunOz6pMD3jFqcCVl7YoAoZlOGDhoClXFhx2l9HscIIYyWw5fTLebH89JJwQsYmlFGzKAZJKB8VrOqDwiNFVcrRZLeTriv3Zob4VbJ9u+F15SRYzvxnL/OHyZnzUQhDrHEROTe3L7u/AGbFxjzRzT+v/OOp+qkmYLnJ9cuIMre0iiJZfdt9pYKVUMuEP0SQkn9RIuaYOa7U44iAciI2lWJCKSa0J4+Vm8rcM7cArArfI2O9Wh7FMlF7WxyjFMcyB1ac/gYhgCSjW5CGRzbh/C3FM1npUIYopkcWAAoI9T8mC1HU1BvDMAzDdBWvv/46li5diilTpuhlra2tmDx5Mp555plunFnX0blOLFO88n0D97XPu2YnQ4Ohym0zyzPhelXm4c5HZN1YNSd+z5tivSFPap/z1tXSrvKE/P2Zzzvjml73LTKClbtfVighwU74jpywPr2OnOdOv7Gnf1Iile3ESnNlOQeko9clRmIWU8DSc5dJg5J5s8Dip5niEx/jrqIYJKF8QqCIECGKiFCWebA8v7UQIq+wVSs+AasSAYRMno1Yups8woubRN0NmfNto+5rETZUWFycOH5AiUAHlc4+QEABYpF1YwlKqxH6jqcpXsnHqXernsTgZvhgJVFMJYx3l5mPTReWSuQu1yX7pcah1Lgq0wjKD8FQKAGLdBuRuKQEicRdJfvRFQ19Ihmp4yLFVoUw+i/HhDLFIBFkfhoMROK+IiMctIMfFqREOZL5tdqpDJWLTPYvj14iA3dorLWVnCDShvtiuoYwkCG+AFAsVjlvh/b6OMr/u3MTjFedh9O3m2C8Gio5vcJN/B47Cc4LLc17j0VtzlzqvBKMO5AD3D3OsZPg3j2O1RK5u8et7LSvlsh9eVt+IncAKFf48X+1m5TeeYlWOdcIbc5305VOLr3IOY+EzufEKaO/aj2/7p3bcufmJnKP6jzXTV3vYOt5myPUP/3+w3X1x9gsW7bMet7a2orW1ioVFxyWLl0KABg5cqS1fOTIkXjjjTc6NsFeQhfkxKLKF/eumFNJnDKp53xuCjuNbgfPVF0hy9eoGSiRrFGBSvXRoTk49wap6OQRwtTFgbncEarc6oBuG+20MpKzZ1xavrl5BKys+wuWcJXm1yInUbxHzFLndAGZ762DL70VRqhELA4pZPoAxUC+/2WuowAFhIiM5O0mqpy9ErKqhcn5Qu7M5ZVELCWk2MIMZcSZGNDVAOV29nwIMQSCjLBl5p1SzzNzEM76JN+SHNeeuxKy0nklglQiZKllbiJ883FawVCGFdaKuS/qGEXCc2VIMqQwdLZV9yqNu+nCkmIWMkKfG1ZXEElOM0GgRFjUSd/jtOqgFMVSTOeVL1l7nMzbuW5FnIhJbRQhojgRyLLFAOSckv2qfBhrIga086ydymhDyVhn594qsIjFMAzDMA1RphiiScU7ykk/G220kbV85syZDee7db8XkfGD2dpOp4pYmTzoQDaUUCGcx+aXxUS8MfWhapqMamu5t3La5JFxftU0TnVXVl0uLDV2R4SsRgQsQhpK6OnP65aC7YzyClhV+su4sdR2Ssyqksw9fwyPa8sUsLSIRRlRS7mvTCeWErpk17KSYk6kTe2YYYRAZQGrj5yg6qaZYYDsdusyQgAIkrBCIRDGBYSiqNcrX5BCiS15jixTTPElFzdRbiYXM4QwgEAJaQVAX06sMqSQBUrzT5milSlkmXOs9GUjcJw7QgABqf5kP2WU04TrOWGXcEQjn/CnXWaOEFfdpRZYoYTKtSYda9njGgiBmOKkvf+1c11YIhGwAmRPfWZeKIUg5cSipNqgCjdM1iefwQVV9ZFghSum9RCTc7w+18u1AVRBW5WPSobyBSRQioEgEHqeQgAF43VvBjIkFihRhDaUsFqsQUhhkgMrdWEVECAULGL5IJLlH5rVF8MwDMPUwpIlS6zE7vW6sABg1KhRAKQja/To0Xr5e++9l3Fnra10uhNLhxH6vivoCnz199tRw1PN29coGlVN/t5Z+PajnmNTra1HlOoQHmFKPfcKYI5jKiNgVfjumHFgOX25lQ5zQwfV4ygVuaw5BqSFrN2/cJkhhBHmP/KDOo6NEUbohhIqVEghEfbb7AfZ7aMYqkb8I2/8v9rHZphupJioAsWk6lwBIUo5YYSKehKVu7Z8XxihKzIoecUVwWLEiEV64iHEABUSYUMFyvnnlYplqXiTlw/LXW+KItCntthpl7qt5PpU5DOTvKs2gdPebKd6dddb+yNi63NBiT/KsRbBDmmQwp48RvI+FfkqurCQFbB0GCGlbizVj/4dgFLHUolivV4fPyGF0yAQHgEr6QN28ndZBVGFdiZjI0YJZb0PEdnvOSHS0BA1t40WH4gyxSghQhkxPh77hPcY56G2bRNtaBOrUUQrCggRUIveDyEEiiLAJksOxqq4hFVow0qxCiXRhgLJip8FhGjfuG/kz2AYhmGY7mbIkCE1VSesxCabbIJRo0Zh3rx5mDRpEgCgvb0d8+fPxyWXXNKMafZ4OjknVo2qhysUNdEA4ROXap2WNw9XLe1NN5bazre9cO5rnWBdIlWem6qOPmrpL6d/YY5luqAM3GTswmxnCE6VXFeW2OPrP0/A0jePgKXWqdBBR2RLX29AIBGytPjUcaE1gxC2O8h9ziRXm006Jm7OM6bTKMUyn0SUOEzckD2fKFRJwKq1KiGAZCQ7zE85i9ywMEEBQlFEQJGeX6zFD3tEvd6Yqz2GP6G7b1+SiaZzNhPTi9huZ5DnzPKJV3obyjq0amlbb54nW6CyqxECcne9AqQSqJA6pIQAigikiy8QCJ23RgxKxCfoz1ur2iMRECv3VBp2qO8DFQooQxRLiXanugwRIEZovaZx4gJTjwGkc0Ca/0RANBTyFwiBgARCKqCANHdcGeWk/wBFRyyVDq0QlAhYtYjAay9uBpqO9cUwDMMwzWTFihX417/+pZ+//vrreOmllzBs2DBsvPHGmDFjBmbPno0JEyZgwoQJmD17NgYMGICjjz66G2fddXR+Yndf6GAXY4pRDQkLphCV6bzG7Yx7QSI/pLCSOy0vVNGn0lU66OTei+y6vG3UFD3t3BDDXAHLEpJEdtxqY1lCV/YCzyuKOeKT6eYyk7VbAlZs7A/ZLixTaNPDmYKnsgjUCSUOBHX1QyIVxiyUgMVClg3F8tasvpguIYKq8iYdJsrHo0SYatX14kyWpcZwxSvbJRSggAJAQCSUPysCKCuoZXNmxXJbY4x0zNpkVyWARJAJvNN6iPbWlY6Vm+Q9s/8eAct1aZntAmTFvlpwj5cpYMmwQX9/acpAsk6vBSHkZ6uQYYTK0xV4PtpiojRJPpKAsuTXCFWHMkpOrUFyE0JYfamqhqb7q5jU07TnKsUzJcjZ+5Ju2+iZJkxEqRBp6C2JGGUqo4iCPE6CECZhkwWSlT9jkY7dV5EhgBxOyDAMw+RTRgTRpB98yskPHjvssAPCMMT06dMxffr03PbPPfcc9txzT/389NNPBwAcd9xxmDt3Ls4880ysXr0ap556Kj766CPstNNOePzxxzF48OCmzLen0/mJ3RXVvitUEoqaMbxHCKm+UXU9KNehVWsOK3OdT8Cqetw8DWoRsCpuj/x8WJX6MnAFrNzk6zntMjm3yF7vbqe3yXtuiFmWC8vIceUTsFSCdxnmZ/apBjEuRo02HXZhyeQ3Rp12Q6wKhC2QsZDF9HJMJ1ZkuLBU+KDrKPJX2CMERnI6GWpXWdgyhQUlLhUSycqEEqcWQWghKxCqwl5Jz8kUBUyHlKxemM1NpfJhVfvoM4WQiGJE2qvmVhWsvK8BREaIMjEdWj7xyte2I2TcWBUELD2XRMCKiHTVQiVeBYmA5SZnV4ISkK34JE1Y8oM+SN5xKk8WRJKjTcjXuxzL1yEiQhTLpO4AEApZfTAUcvam8ypKXrNqx6Ae1HGSydtDhBTa7zcRIyY36b/aJkBI6bvQ99oyTE+lJYzRUsipelqlGqG7viNkquTVWZ2wVGW9W/2w7FQrhFGtMHQ+5oIqz106Um0QAGK34qDznCocG7e6oIt7nEsl+7lbjbBUtj+XIrdaYcn5oca51lnljBcZL4NbfdB9vtqtPujsXNn5lG+rJn47h63sfMafMOoYe/wKjtBMldrMS2LLAe3UwTcFU5GFCxfWFE64xx576B+8fAghMGvWrIaTwvd2usSJVTOVPl+qiUH1UOvnmDmmbxvPfDIVC92wwnqoKI45K2vp3ycA5a33Phf54kyFsMWMgKWFJGGLVg6Z6oTVBKxKY1njwhKm9HOfgGWEEerqgcb8kiDCdGpGm2aFE1puLFOw8olXfV3Q4sTuvZJSDJQTdwsRWUnBAy0t1EatubJ8FBAkQVZmRUJK5iEgJRAlUMSAKCP2CGVy/mr7GMpvY4YVusJFVSHLELDKiQMrL3m6SW5+LkO8kBX1PDnIHIEjW13RTuput5W5w4Kcihfql03lwlICkHsM3JBCM8+VdFvJnsLELaVaBkZn6thJEU9oN5YSsAISiXiqcmYREEjpNBQyV5tIfjsoxeoWG+GEQrtotcvLELAiwzGnc5wZ74FGkq/rZPckhdUylRGJKCk8EEKmmi/oMUUyZmi4G2PEXjGzL8BOLIZhGIbpvXS6iKUTuwPN+r5QG+qbsDtmA9eluW4sJRw5ApK3MqLvsTuIOd+K7i+PgGXeW/36ts/pJ6+POttoF5YrKlmCU5WxLeHIXueGEuZVNMyIV+qx6azKS+puCFg6jDDJm2XtqyNk6fVmAviOoMpgZZYnV1R9XbRy4ZxYvZJSLH+RjWLSAo0SQKqJUqnAlbZpJLzQzMskBRXbQeOGGAJATAGCCmp1WsmwKMUNgiMCiaRaX+X3mjz9kBawCDHKyaPK++SGB2bbu6JUNhTSP4brPKsVdxvlpFICkDoWBCkEhYbbNYbKl0YoUyzD9wQQBrI4QGC2NY6pciUpcTJM7lUS+AikE+YTUiMsktenkPQdxUA7YpTiGGXj/FAQ5nsvXW6+Zq4rSoYeKhdZY8dROrEChAgRI06EK3mUYmSrHRUQIEKg5TqguoNvbSVGnHFcNoqvuinDMAzDMJ1H14UTKjrynaHS9/U8x1RHr0PzRKeatzfCClGlr0bEvmr7ZwptZvs8IQxOKGFe/6YgVW0+OQKWT+DKOK8MASqveqFP7PI5s9JlhoBljOcVsNwQQVfYMOJWlFPLDCfca++L036SqoK6emEUW9upKyeKja/WlfJhmWGFLGYxvZhSTIhj6a6RlQNV0nS/kKUr7mWqFbrJ1VUYINV0waoErDARnJKMSfoSVTmCAgi0J8vyLmDtfYjghjZWEoDcj50YqbgXIUIZkXZJuS41dWxqdaO5SfCVkGW6ySphOotqxZfovh5U2GmQzE9AoBgoB5T9MRSDko8GeQwLFICMnFiaRGCMjc/rFqTiWphMNSbpGixRDAEpYIVGfwEJPaYS3KIkAFTtc5Tch0jFqPFvHmztY1EECAOBYiBzflGy3zGlacQFUkEsUqKUSEJNSc4iJgKScEgBgZBUEnpK5swCDMMwDMP4iBPnd7P6AmrPicVUplNFLBLy2hrCMdk0y5HldTSpQZo0huqW6p933duYglMzXWu1HgsyBCyyl+vQP484BHgEplxhSdjtTXEpzm5v9eERonzUEsaXlx9fu+iCVNRSrwkJQAQis421fRKK4ubgJyEgguTqQ/3kn/RFsXOB7QpZPmHLErKMZc1+4/c2OJywV7KyBBDFaIujTN4HhSlk5YUXmoKMepyKB1lUkF8IJPXdDFEaSZhXEobmjtMCSCGLWry5qaQYBAQUQyBMQvaE1QfIdMTY7zeZR8v/HgwQJC4w6fJyhQifSFRJkCIRIybbiSV0/zZu6GGeUBggQGC0VdXw1HGw8ocRIRKqOiXpflWuKSAGYtmP78tkRIRSMlUlYkVEaI8oCVOVbqgCAvn+IjlD99jICpSpo6s9kmNHJN1Sq6NY9kkxIootB5baXoUn5rneVPhliAChCFAUAQqBeSxS8SugJKdLQEZuL+jqlKpP7cqiEAUU9GvYjgghBaBYVUskLXqVESNKXvu+CIcTMgzDMN1BrTmxmMp0TXVC9biZ/fZUzO+tdQlYhmMrT4vo6H5rkcnjwnJFKyA7B1ecMvtS63KGripgKaErzgpXXkEL2W0bwt3WOfYqH5USqMj3wgjhEbOQvPeTQEMy2oISgTM5HoEUsuQmSUc5QpaaYjqYfz4IevIfSSdCaKKI1ZxumOqsKktfTTtFiBKBypdLyRSI8lCCjGynkq+n+CoPAjLxqQprU2ghy0H9TbcAKEM5b4w8WIREAAoAFJPQO1tY0iKH5wJYiDTcDYA3sacUssxx3PX1nwOquXLy8if5cmWl2bJCa98LKOg1Ijl2sXmOBPR5NhXxAu26IuO1VWMTCUSkBCyZdD0iQlsco0QxSkjfV7aQ5YT/JeF9srismkOAUgAEkP21x3GSPyt1W4UQmXSFAWS+KvN9Fsp3mRaSiomLqxgEOmG9EsHk2MlvE7FdldEnkInkqMtKhSWQiBFRhNUAIophVoAEgppcdmszRLXn2evKvhiGYRiGqU7n58RynncZnWBKqeisqjSWa8up1k4JWc2kkoCV4K1IaApGMIUkJyQQyZRdocvZbZ+AlRGqjDA/vdysIOhzYeUJce5j33M4LiwzkbreMfWymGqVusJI25Hax0DYZU1cjAQs0qWVdGm6sjxCFmJD/NLLUXkshunhrIxKgABKSaici5sgvBYxS7ajxA8VWjmRTGHBvLi3hJic/EpAElYoAgQktLhdhgAQaRkodTLJanBK1lFI2ctNHJ+MrQQWFcIG0sKOSD1eydygHVOZ5OGqUqOI9b7Xgyta+XJs2c43+zNECVjS4RQgFbe0LysJt8uGLsYg6Y4j9dqQXm6+HkSpE0s5lVTS9VIco0TS3We+r7SQBUMwA8k5kUjFrDhGCTGCWM6hlDiw1LbuPsuIcPlc5tkSyY87qYin9rugBawkVFFIIQ6x3FZXTYzT8EF1jEzDqRACgpQwFiYFB+S6kmhHmQJEKKCIAooIZbgshE5039fFLKZ30dovRr+kOmEQOOeMKtUI66lW6FYHdKvkNRt3PBd3/EKFv1u3OmA1Ck76vGrVCuutRhgZ6+Oyva5tTei0tddXq0bY1m5v3+b0v8JZv8rpr1I1wmp01H/Z6vxAFsHzPcOg4Hz+tjvflYrG+qLTd8mZbbuzn40UF2GY7qZzwwmROlK0EFDpc0Ctq3QSydle9dusinA1UWlfKG1ScZ/zBKs8h5CAqbZ0TKwj5z53meO2Mj9EzPamOGVOPRG98gQsNzeWnZ/K7ZuyDi5yxvJQ0/vCPJa+18QQZQVBC1iZ1zf5ST59edRlbhJSGJuhN8lFibroVK6s5MIEiFMhiyg1XMSO2KbGDARE5IhrfQkOJ+yVrMAaBJDJylV4k5tkPDbCnpSg5Uv6HoMQGG4sJMFu5jMtWCSCihDJPVLxKk/Q0lCcVKQTOgG8FMiUKBJrIcsUb6wukCYcj5DN2xVUeQuqfdfOM5GGArrrq4WNkXXM7P4rLaNEJFT7oxBJ0ntTwCogRIjQCt1Ux8DMG2WPJxKx0E78ro6UFLWErmxZSnKrlSlGO0XahRWJsvVZYTq5zEqU+j1hnNhNJ5wpFFKSb0o9j0FppLc6p1sONdl3UYQoCNOJJZJwQfm5oS6kVNJ5d2z3sXJ2SeGvABAQiUQaFO0oIQSovz7uwplXX0T56JrXF8MwDLO2UU5+bmxeX5wTq1l0STihXxBwlY7mDFmr6am+TlFnaGBHxsrZgXrn4JtHRadVjjBlLNMhgR7RK9OzIy6Z5OXDMt1WapktWNkCVsV99aH6MOfhNjEdWUleLCskUBmoMsKVp59KcxFuDplUzLJcWapMls6llZC4sjIxLCy8ML2QlWIFQtECQLp3FL5qeUDWmaWXJ6KWm6xcJV9XoYWWE0uINGG7I2CpsDAfQgQ6f1GQKNwFKH+VMTdKJSzVtymaqPsgObnI9Sk+t0zqxoIeS4lmpgjYEczta3O8ZY+TK2CZYYSqfQQgQoR2lBCJyHKRWa89yZBPIHtujRILVkQy4bpyTJUQoYQy2lGSTizjhwr1XjDDQAkieQfJ+cm8URHKKOvjoF7NovH1SZ2atTAm5M8SgfFBofZbFQ4IhUAYCBQCKWKVYwIFQBwLCJEmklXvMfe4xpRKJ/I9IvQv9apSYUm0oYQ2ffxbqQgBmYxehyw26cs5wzAMwzDV4ZxYzaFrRCxUcSP5tvNdi1dxYfUI6tEQDFHE2rdOUeI8YyfkJnNP5uJ1UKltzfaucwp+F5Zqb4ULmmJW3nhkH5ZcF1ZHD53n/ScdF+5Co7157xXHXDeWWq42TTc2XVmqL0sUcysZugnd+7KYFTfvFxPZF9MVrBIrUBCtMuCJCghRhEAIM4E7IYYZjldNyCLHjZUnRoUQXqeVErDyTI0BySTeYSIoZMIRLREo6+5SDiB3v2Q7eU7IcybJ7ZUoZotmKkF7xqFG0qlVLcF7XgihL0m8WREy62YKECFGKvsE2gmkxEOVoDwGIRIRIpQQq+qKSWg9IUY5EYBAsFxzQOpWikGGiJU6sNpRQklIOQuQAlNMsZUAXVVjFBSggAIIsoKguW0kyihSC4poQZFa9LyVM0ylIYwp9f4J2InXrSTsScVDdYuF+ixOXx8ioExx5qPGdWHJ3O8yDFKFFZZQSo5dGwCgjEGJS1Gk7+0OCp29mWYmY+fE7gzDMAzTtXSuiFUJN/7PFHLqvP42c1V1WPsxFTGrvBwA06XTkTC+jlKLyFWHC8t6bC0TltDk9lGrgOVrk1fNMJOsXT+3Xwvhm7vxuOr7oJ7XrgFRVeXFkjmuPNsHkFct6td2tY2TKwsicWvlJXZXHascXGp7DidsTl9MlyBrqhUhfOKLiLWTSuETrwiRdnHFibATZlplIcAQIswQsiSvUd52lOZnUiIKkLqkTKEn9ZRlQ9is/XJGM8UvN317KmZJgTzN95UVnXz5s3wIJ++YmrVyt7muMLdKIaBEJxnKFhveJu94QiCkACFCFKloHX+3CqIeg6S0qdxvoVCpyhN3khP6FwnpSGrHaoQooEitiEXRcmDpHGtCioohya9GZghmLYJPJhxTyFDIgvGaWL9XkTxtl2LSSeldAiEQUf770EQ53JSbTEAlek+T7eu2ydyKVExkrr4Fi1gMwzAM03vpdBGrqkvKit+q0K5KPxnRotr1Zy0ilCsWGT+HWouboReYIp6vU5XwPRm/rkFrTeZuCUeGgOXmp1JTNdrn5cHSjwFb5DKW+aoR2oIX+V8raz88j51xrXDEKmjnVBJSWJVG3wOGa8onZGkhTIUVAtJ9lZbokhuaiY5VXiyG6SWEqmJdTvW7WlHOLZEjX7kJ3KXIQlpciEk6VSyBKedPSYVzRRSnrhwt9GSFrCBJLq/GlV1nTy4q7Mx8nvabrUOo1isxy3R2pdsaW7phehXItvM532T/IhG6YiUPCSljyTxWKol4Nom+yudECK1jrQQstS8EsvJDldQxIUJohHaaSfBlWF0JJbShHasQoohYxCigDKKW1ImVnOQLVECMUFYIhKo6Gen1ee+rSoQiSPN4CaGdUOo1IxAikjmxVF4sF9/Hi2pl5ugyc3qFVEABBUSikLz/sgJpAdJ51hdFLIZhGIapRkyxLJjSpL4AzonVLDo3sbuo8dq+mrOomaYS4XmsRQ+fW8lj8TKnKmwnWFVIbSNAnV2JEMgXsGpxMlm31FGVK2CR89ztx2nvJnD3hhe6OawqaTPuXGrZphFqEUArhPTphOwB0rxWAHQyeEPI0vm4jDYIYCd7N8dUy9iJ1Zy+mC4hSMK4ACkUKAkoDfeKtK8q8Dp0bLeP8uqQiCFzUuWHThGRDMdyXDJKeHDfBerP3xSvTAeNmevJnJsSe8xcTHJ9WkHROiZG2F1AZt4pT+gjZEJ5JYy4c5FBk7Zbywyl8x4XI0m868rytndC8/LCFs2jbIbbhR6BSOXQkv2mAqAZhlmAdMOl+aDScWPEKIsyymhDWyxDVmMRgdAPEPJ95e5zSIXkFZHhrO7xSZPmJ2Jccq51XViqTQzSlZ/calNEhEjGAiIm6cry9eOS1yQVOuWRC1FEgHYECBNnm+um9h/3voBPQO4JfTGVCQLKVCVUxHHl7z2VqhG61FuNsNhivwdK7VXyCDr9l0t2+0LR7s+tXmhW+atW2bAanVmNUPafrl+x3L7sdLM2tJUqH7dq1QhXO9t3tBrhGmN+7l95ucnfEd3Ph3opVNzeOa5O03aqr6TljuvubT3/80dP1rV9X4dzYjWH7gsndMkTsur9m+6s606fSmWIUFaYobeZCvNCY8KV61hzxTivU6nyIF4XlrW9EpmEXwwyxKZMH5VyaTmiF3ztcoQvOW/PHJx56Xb6Mfn30Tl2NYejmttVCivM2TwjZAFa+LKELCIjLNHozciHRQJ2Xiwh0EFDS+8lbqJqWcvVJNMUVA4soLaE5G6+LCArxgik+Zry0C4WghayTCJQxhmjcjmVEymlbIxru7wCKCkrnZuZkD2bsDsPJWS5y/S4yXwC+EMSUwFIHhGVfN4UpczjpwQsVekRSHNt6dA7Tyih6ke7sZKsWJVeBRVSqObq9ueOIROtR3ruMoV/+lXGrPhIQjqx2mkVyvEqUJAEfoo4I2ABSJxakRR/VMVJlSjfOKlmqkx6PtNFcv4vyF8d5HYifX8kuejl7w2xfOxzYblUapHOS4ZoKkeWXJLKtOqRdsD1QTickGEYhmF6L10nYnlUnsyijiQ0r3OzpuTQUvP1iVL1iFRq+1rELbOtOU5N4ZHOvXqcEZeEISiJNJyODBdWjjDly50Fdxs4bitfMnd4wv/ceTv926KV+Zjs5cZu5ubWUlR6PWp5jVWuKg+1CVlSABUBskKWO+EKYzFMT8aXiFyROnyixKOlwsyyQlZtY9l/uKaQBSF0SCEBWqyytieh5RlVvU45vdJQwPTvkAwRSM2gljlqF1YiQlmiVbIPakkkgAKl4XzZ/tLtZBslpqUCllsJ0k3UrhLl+14nVwBLBSyZpj32OM0EpKgjBaAg+XxJXgtjbPNeCViRKKOMSM5F727264ycRRllakMpXq1dYgiQOX+LxMumckiRCPXy9DjW9+uATLqeusQA2yQbQypZ6iMzJic8UJB+v/kwl6v3hxI7lYAViiJIHStzbkJ6HmN2nDIMwzAM08vo5OqEPpuMv1lThKxGqUUAgn9apOMJoR1ZtYYW6pDCWvGJZrUIX6qdcS8SoSq7Pg0bzAhDVfrOCyPM5MRy+s9L5m716Rkj7zWz51HH8U0OSSquSpFJ5cUiiPr6U9M039LOe62qkAUjrFAJWWp7lQ8rSN50Thjh/uO/B6xpA61Zg3jlajzednvdc+9tEMVN+1Wcf13vOtw8VS5uGFuaJt0vZMUiRl6EhRZlLPeQRCCtNmiGCprCgkrirgSsMsoIEED5XVQ7/9ima8sQNqzH2W2zYWDJcpGeryOBjFvL3D9XfnHzdinMZOa2g8wWstzXJA1PJP08FjKXRJjkA5MuMFJTtgQUex9V2GM2jFAJWCXRJt1RIs0z4YaMynxYaxBRG8rRGjUQBAWZtgFC+Rluvc9C+KpHpvssQxljUTnxel50N5GqluhZDtL39aBceyqkMEj8efrvK5mvIoDAhosPRL8gRL8wQGso8Pz699U1Zm+EnVgMwzBMNcog7aZuSl/gnFjNonNFLBK5ik5F7caX7L3SN8QGNK+MGFKD8pTJ8+4zHFWcpxu7lob0ZaoS5cehpUKWaldJjLKWJZu464z9b7Sqn/CNm7OdlczdWe8VqXIErVrQIpEH0wmYcWjpoewE79VqRCkngSmGJSuy72VHLLOErGYhBBCGEMWeEznMMC4qwbqP9FI8dEK67NA2SyBy4mndfFRZpFAMSv7mhUBEsXZb+SrzEWJrTDWO8htJoSwN51LzVOtM3GTn1fD9dqEEtjynmXps5pRywwDtdtLHJBBCVVgEZHVDV3RR25oCmOmSokTMigzBsUxpsnE3rxhgi3npfLOvcYQSIlFCCaWM26hNrEaZ2kAUQQh7nStOybxr8rUKUUCA0F6f7EMgBMoUaedde/L9NlROKM/xN6tfSoedIaZW+TxTBQR8uO/J3D4Mb1yZYlAsc7pJITZGQEJ/9uT/jTAMwzAM01E4J1Zz6LlXthUqA9rt6u3X6aMBAawRvA4tY58yid598zLdarpTT7u8cD4YAhaZN0PAslxTRuin05dX7HL7ccUqnwjlillqPDcPTU4fNSduT45prtFPCHUZaw0jN6tSqTBvfLdPoY6PmnyNc8/pu+rVjxBAEABCQBR67p96UyFqXi4rDrPpdlLHTxqK5laIU26svFAvX2J198I/FR6kv0uKWaQFLILMoJRWyksFINKiTjYxe6xlERvb7VN77LnpCAOyyedVvq56MBPoq4TsVnigJWTJ0QMnRJI8J0YZrJYKdzFilKEEsjB3v9OqhfY+ex16IkaEcrI+68hbgxWIUcqIjem+ZR1cAUIECBFSQefDStvLHF8iceG1A2lieQp0+Kf5OeJWugwMW5Z+D6mPBPP3JeXGQvZ1b4QyykmerAhlQ6AtoYSCqgwZ1+/86r008xcjdmIxDMMwTFfSY65s/SKPR3FoxverjJCVii/VDFlNiXbMceior77e311VO8+8K2aVtxxQfgErTyCqild88jf1JV83o01rEqOcNrnJ3htFpCFGbrSmCiU0DR76+sYytnmcXyoxu+u8UtuSx41VsbohrAqG1fYJYQgU+8iFCdWqatbaF9MVSOkomzAckI6bSMTakSXb2FX2TGFLhRf6Qt3kH1iUEQMiqPC61E3jdyylQokp/rioMGAlZFn743FhqXthOLKUIJKHz40FwMqdBUBXNpRz9ruwgKyAZYZpkrXfcrYAUjErIwoGRts0QbzM+eQ4qhxBT70OpsvIrHxobieFsRIilFBGm30cEKBEq1GO2xBT2drOxXVl6fcaSaHMHF8g1udtecRClBFIGZWkdKeqEZIRliorGaqwyuSznuxjF6jvIslLqMJalTBpVtFUW9XqxiIRIyIpvAHQobAlIT1sMUkxLop6zNfCToXDCXsncSx0FcK8KoW529ZZcbAjfbuVEqvNte59Md5ypTZnLOdPOKxSuyGus7phtWqEbasdJ3SF416tCmSpbPdVdv7U2iPHfVulPzdtbLmOXXc/OQrOZ23kfGccGFR2ta50SjOWq5zH3fHcH87M/J0dzXVYcJzL7U53A8LWDvXPMM2gU7+tKJGi1hxRXpqSgd3Xr92/KaZ0aL5AemXh68fNa2VbfmxXlm++7hiqTx95ziezG49TKr/ioGceeeOS0Y8jNuVVE/Q+J2QErnrfClog8mk+jv7nComWdug4+LyClrmRi6GMVQpzrAcSvgw65pgCIghAQd+sQMX0DgiR5fhxhQaBIBMi6ApZaVv7vU7e8DebIBG3lG8y0u1sV1K6fTZ8zsz5ZIpRlQQGU6RS29RCmterdlxBSO2HSnbuE7B8+y6PVJQc58pf0jMVDIXst4SS1UYnqqcABRSAJIeW2k6HNwpbfJMOuRJKtBrttMoS2wRCRNSGiErecMI81HtNOclAQKTEOhEDVAJQhDTsSSeYoAARCggRameWeu1VTjWCQEDyVQ5NN1YSLqg+Y+wQS+jiAoXM30Q9vzdJB1lJtCNOwltLQop/JdGuBbyYsuImwzAMw/RVyiR9+M3ri3NiNYsu+cnNFYYa0qN8Qk0lB1InJof3urFqeH/r41AtrxXsfCDpuI74VWnMjDAl7GWJC8tuY64XuYewluTqufMxn/vEqUpilU8AqzRGA+F6PjFLd2OGA+YIWkJdQ7ljm24s132V58aqFeXIcp1ZQgBhAFDYpNNvLyCOc2I+G4B/Xe8yVBU70uKIxBQS0ueuc4cqhBKmlfUAIFLhY5mcWVlnkE/A8YXNmXmwTNQ5JDTOJXlt1L6Y975x3Od5ri5fe3NZnjgn55kVsKywOlJj+U9TvrxfZo4tlfBddhVr0ShEEYEgBKRErfzXCEAieEYoow3ttApt0TJLoFPVBoki7ZQRIl/MlzUbVf3LAAWEOlBR/h/JfRYAqARCkEpmAohQREghCEUAhcTdlzrfwiSYz3xV3HBB9bkekL+4gKqg2QjK/xYL+VqURFuS+F462EjEiNCiwzPXdijn/d/dfTEMwzBrN5wTqzl0mW+8FodTnkCRu12lDmsZrNZk5rXgE5U8yywhy2oIW5zyzCk33NDTldVtTiL3TA4spOuqkhGYjP4c91QmZJBqCCWsR6yqh2ouqaR/K2TPE/qnN3MdXsZjVV2QQNXfYw0Ibia5zi4lZPUVOJyw15JXgVA9NhEUaEHJdDvVnBi9gtAZVbggrdelYgs5ydhQLs98scp041hhdcZ7UojawshMfGGEahwlMsnnOQKW+ZxsmckUH01nVSQi3XdZlJOR1LJYepdEkpMJRUSijIDSvGUqobvpFtNiGGJEVJLVB+PVVlhXrc4rF5nQXeXEIlusUvMRWVEtphgQrSiTqguonFhyxgKU+3oRkcxnBunMcvNmqe1Vn2GdLjxAJsCX9/I1LEGKWGp5CW2AkPvRF370kH9Lzapky58VDMMwDNOVdHJ1wuZ0U4/IVHMooNGwkTxXeeNog5UROgbzOeyxLEGLjA4q7IeAkQTempQ7F9tplfd6+AQsS3CC8dgrkuXPNTunyuvlGFVejAqCT55LzBR5rNfbJzxazzvpy6nrvvLM05sXKxCVE5cHQgf9UyAgIqMvhunByMt+Nzm6TA2uBC4r/M6sVCj8DquO4BO6as0/pDBFKOWmMUaw+pXBjEYIYhKSFjnbaZFLVbyrIjn4xnYFGDmm+dw4jslmXjGL7Papiy11wJmikytgqbkECBGLGAFFQBJSGmlBTctYiJIk7ZGQdfXasQoxSoioBBei2BKyBKq/N1QQaJGKKCCU4XVC5cuKEjdW1s0l3WPZipjp8ayv+qQP041Vb2of5X7zHX9VhVEgQAwZdsnB5wzDMAzD9GS6JYNnU5Kj55ARiOqkY/m7ADiRghkxyyGroTiClm8Dsn/F17/su5P3iVfuY08br4Dl6zdnirlYYpm9vOYqg3rgtH1D7yXhOcS17FcHHVM+KuXsUm6uusQ0V/yqJQH8WgLFcUWXTV19cThhl+E6sOS9GWoX2qKVlWsp1utcMSWPvFA6K7eW4fay51q/kKXu1c3XX5BIJbFnW8B24EaGm6vaXMgYt1IYYTpm6ohT4ZwxYumO8ghZbq4y39yViBI7YpbcfxmqFxoCmEhmAciqesrNVRblxD0k78vUhnLcBqJY34DUhaWELKH3p1oOrxAFKqCAAoooJMJZtuqhbu/J0wZIt5Y5pgxVTH4gqjgDG9fhk4YdyveLSuJfy3tSHfMIZZiVHEMUM+36Bs3Lc9JXPl8ZhmH6GupntGb1BXBOrGbR+SJWjquo5nztDQoUvr47En1YM6aQ5YaZedplnErOpOx5+Q+GFrTyxKrMupx8VxXyYOW5sKztTLdWLf24febNvRY6+h2yUWGuI1TSltyrWSEFzoouNSv0MXms7gN2YjE9F5GEcGWWU3VRyhXAanG7BEbicCAVryrlw7K3r+/vSQlQZniZ6kNeSpv7AN3WxCd+5Z1AsvmoyCtOqP1VIZRugnwZ0qlOR/b22kklUjHHFVO0C0u7gFIBK52PSuYv1wvECIRAOakoqNxcEUpQidRLWIMytaFEqxBTCbHjxHLFLPNxpbxYAjI3VxEFFBGijBghyeNQyf3kcxG6/arjk84xvz8f8j0D7dgDZOVJtxpl/vaRPnZyLiFCFGFW/VTtGKY34lb4cysEulSrjGcSVqng545db7VBl0y1Q+d5YMzHrQ6IUuX9cvclcL4fBgXnOJaruH2djxZ3rqVSYDy215Wd18h9zdznkfO83T1OzsXcqiqvccFZXU+1Qhf3E8B9WcqdHHZsFv8oOz84OS8pst7l+mit8DnKVIdzYjWHnlVLuRmCVgXhqCmVB3241jKlIxirvXPPW2aGHlp9VHHU+JxX5hw9pOJTNm+WN4zQEKhqESCFsb3ZPk+8UiKNcMetl2Z8VuR94DTT2OSGFdYiVvmQVzd+15UvLHFthXNi9WpcF1ag/9miTP72Qucjqt421m1c8cqteOhLol4vSkgq6zA5cy6qhERozds3f+XyccPV3LFMIkQZF1Y1t1rabypkgaAFKTlO6qAyXzs3d5UpXJn3gBKO0rlQklpcXVyUk8qVsYhRRgklrEGJVqNMaxDFbShTu+XCqkSlPFmm0FRAgKIIUaIIparurcpCa6WE/fWWQU9fV/V+CXSy92puLCUExiSdWAXRijCR65RbTDnl+gLy/dKcL4ScE4thGIZhupZuF7FqCi00xY9qTU0ByyNmWUJWM1UtX/lF15WFGkUZz7TSqMQK8Yn6+23+PvnEKGtdNQEr00+dx88c1xTDavwOWOn94ptnvaR9kP28ytgdIic/VsOovFimoNVXcmLFHVE+HfjCpMtQUpWJMNw9tlMp/yJbCViFROSpJGbFWnzIF7PMkMKOCFluOF8mTJEKyZ7ajq28uavfeE03l4s6ZkpOUonQ5XaVhRmzCqSbLyvdp0g7qPR2xvEyKxGa4ojrxFJHBUjzbAWArpFnJoRXIkyZ1qAUr0aUhBLGyrXlEbJqcWApAgQIqYAQAYoiQEiB971phguq46X23+4vFbCEEf5XL25ONED+6i5qfE+a+bCkoy0CJWGEqjpkZFSM7Bs0T8Rq3q9aDMMwDMPUQreLWFWpQ8BSbUht59N7rFC/TrqwNxUrYx654XgmTlty1mXmbibgama1RZcKApE3lNBtlyeIedp1aP496LukPBb2hOoSM6vhhA76RDAKBEScnQfD9AZcZ1Ylh1KeWyuvGl/e9n5nVq0hW6TDvtzlbpU9E2GME2tXTC35q8z5u6NGRjs7p4P7WM4v0jmuZJXCrNBlurDsecQ6lMKdN1ljRYnQmM5dJRUHsjmmfE4uJWRFcRtiKmfyYflQebECqPTqtqAl14WoNaW5K2BVCmM1k7oHEFblQXlM0oTtsQBCqEIA6hjY7/lU3JT+KXNdNWIq6yT4hFh/3wggKzCqwE2GYRiGYZieTLeLWLVezNeQGioVgFQTjxPL547qCuoRsHLxzb2h7PXGnEj20ZCoUmW7PIdVvpOqCUKLL5rO7Nc3hHk8gKwLK7Pe6Vc9j43+q+xKRTFLhRQmVzUEqlIBUs3XVHydEMK+4sRqYtl0Fv66Dp0LyRFOpBgiHSemM8kVZQDl5pJhVkoISvshp09/AnnzucybFcgKdaYok1M4QLqSRLIn5KwjY97Z9xWJGCDlHrMFrFrDu3ztzLBIVzyLEOkQtAglnTSdRJg4w0oAilBhgcoNpUQOd7wYsRZoTBeWORegmLwuoRaOQhRkWBsVKuaVakRgUeKVEKF8nNyHomglNDeTv8eIUUKENbFIUsiXjfdMaAlu5vtVeFxbSrhSVScrYVYeJErfMybm34ApGoYQVkib/X5LQz+zY0phsJxUe+w7LiwATQwn5M8KhmGYtZMy+X+8a4SIOLF7M+lcEUsg9ztC5qK8wnNRqY1HoFLbkLnc7MwQg3STZl/j56kOjQpYOd37ohhrooKYU20b72vnuLDc/Fc+QauisFeL6FcDPgGrw/m2fOOY57dK+5nbAeoLKayljRau+s4XbIoJ1KQXlvOcdB2k8h5BCS+EQMSIk5fAzLNkhuOlzqxYu2GEIS644pObRypMwvjckMW0TZyKWR7hzOxbiVBI3Eb2/lWvbpOuT4WniuPVQJqwPT1O6Zwi7b6JEhFDrxcAqKAlLiVglT3pYGNEECJAQJE+Ti7yGEbJ6yKPTYiCFLGokMhZRf06p/OPdDhiGn4YgUgKMvVUEFUurFAkycxFwVgXaq9UJCKUkvDEEsr+CpWk3m35Lqy0GmEiZAmRZLGy2xLZYpVyZEVk1nLMhpeq5QKEwOnDrUTpd89F+jW1xM4+ImRREz8Xm9kXwzAMs3bDid2bQ7c4sTqcA8sncLjX6yKrb+kHnnxZPlGoYTJlEZ0xO4Ij3NVyvW7lcmrIceXvNDd0sOJ2nnWd9P2vqgPLWF6zC8vt29kPe0xno0BAX5XXAAmhc+TkUYvgpUMKGaaHkjqxoIUsk7Lh/lFilJk4HEDiYQoRiLQCoNpGrk/bxiJGkVq1WKPCyMwcRnL7JNeRJaxk3VSyfSpCuVmqXPHNBxmiXW3Or6wwVQ0yjqOZJ8kO2Us8PslnlmpXTqoDmphinXoNTReW2T7Qx9J2MonEiyX08/Q1ls6ssu6DECNOhCty7vMw3ViBKEIgzDixTIdVjBjtKCEGoSTaUVZhlkabdDtbONXPDZdfAIFQBN5QQvfsrd9XZOZQ8wlYqesvMNql/abbkPNeDESgj2GaZB/69WeYnkwQUG7lv3qrEZpV9dx1bgU/t+/A+c2j2vYdrVYYVKiOWKlyYS1kqgu2Vz6O1fa92utQiVLZ+ex35hY5F2nuevd5M3G7dqsNVqtG2NbBH0Y7Ut3Q/eyp97qrRdhyQTuVc1oyTNdRvTxRk8gVhyqJIG474165e3LFGadfyxRmrnPbdVRQqdWB1RG1LE88ogrrnHa1hhLWHO7purAou9yaZ539d2h+znvGdWFVE7B8fVlz8Hxo5s4rqPF1r9DM2zeLVBKKm3tjuoQ4R6iRYkas3UKRiFBOklPrEDhRRkm0oSTa5T3aUEI7IpRQQpu8N9a3idWyjWjT4piJEh4KCFDQ/p3q4WBqrmXPv2oCltsHifTmPV5aclBJuqvfIpTk/NQxQ5u+qeOZJv9OnFmOgCX7iLTYYSZnl/fZMEIgzXsVUgEFKqBIrSiiFUW0oEhFhFRAC4ooJM4mKQq5uaMiLVi5wh1RrPfTh86JJaTjy7wV0YoQBRQSUYsQoSRKaBPp+8jEFN/0MieMUC5Lwwjl43zI+BfpI5y6sNRr7tv3VOhK/+ll2rGYPS6qlXrt3aqRaz9xk2/1ce2112KTTTZBv379sN122+H3v/99xfbz58/Hdttth379+mH8+PG4/vrr6x6TYRiG6V3U+1nRl+hUEYtEelPUlBtKtXXbZVwznuc+waRWMauryCs92FBfyO5zR8h7fXyOJI8g5EMY29b1+jdjn3KcVLWMX3Uevn2p5bUwhCzrrSDUMmNho3+hgZDhhMmNahXPGKYbIKgqdjFSt5D8Q1Jijum+UkJMhBLKOnORvBiPRBllUUZJtKcClyHYlNGGdqzSApCZvN3MYaT+hYmYJTxChcIUDXy3SEQZt4xve1t4oAq31PFUTva32i0WsSVKSZFvDcrJMVFiRipUxfr4mgKWKXZZ+6AEx5wqd0r8CROxqkhFFKkFLSiiiCLC5J8Ssuzjk7q68oSq9L2Urld5sAIEiZAVWkneC6agRfKX5nLynmkTq/V7KOtAS8MIzYqEvrBUHUYoVFhhtghBpZvPVRgjdtr43yPVQgqJnIT5fUbA6l7uvvtuzJgxA+eccw5efPFF7L777th///2xePFib/vXX38dBxxwAHbffXe8+OKL+OEPf4jvfOc7+NWvftXFM2cYhulbRBQ39QbInFhbbrklrrnmmopj1/tZ0dfo9sTunYa6VjDDDE0xDV2rW2m6Mpt8ZuwG13nIy4tVa/+dUkHR6r82R5zrwqq3b9Nw4BuzQ/tZ7U3KRqEMnBOr9yIvsl3xgozHdvig6VWJUEoCq0Ko/FhqG9W3KcAASNxGidvJ+qEj67qSMxNVL/FrrRLXWX3Uks9IiRb65jgOhQgMGSQ9dmo7V6RRxzhEkBGwZB6s1LGk3EtCC1ppGGdaHTIbjmnOvZ59tfbLyHulKhEKBLoiYoAAIOj8YCY63JT8QqabF8sMS3WX5eErBmAXJ8i60FSSfF8+LLuvPEefzN/WNz9KqIlfAuvr6IorrsAJJ5yAE088EQAwZ84cPPbYY7juuutw8cUXZ9pff/312HjjjTFnzhwAwBZbbIHnnnsOl19+OQ477LAOz55hGIbpOmrNiVXvZ0Vfo8vCCRmGYTodDidkGIZhqkJN+1ePiNXe3o7nn38eU6ZMsZZPmTIFzzzzjHebBQsWZNpPnToVzz33HEqlbLEFhmEYpnfTyGdFX6NTnFjKwRCvWZNZV1M4mQoBc9v5wgd1CFZOX55wrczwwr7vkFmqmgvEF1tZYTxy5lbfXJI+1EPjuGVyYrnHGABiT04rtT4W9uvhy4OVPBZx2peIk/HVPdJtBZE1t0xuKs/rn/+Ysvvj9mVtY7ir8sbz9K2dWMb8034p/+0Qe8azxpQPRExARPI+GUM+JiBSYyZt1GM1v9h4ToRly5blTKb7UXPrqPupjFLTfl33VWJjmot6vSNKjjXFIATwvYimE0t6g8pGwJRyYqlU11knltzWdGKVEFE7IgQoE0AIEchabx4nFqGcBC1GSdLv7sQ9ForanFjq2JXk8ciItQRl80zThqfHTiTp97PHm4weUtcQJW4fItmGEAAUAkYSedOJVUac5BGT2c+iJC9VjBJiKiOmMoii5BaDiJKcWOZ+yL5UuxiR3DapNBklr3U6L0AWBkjfV/YRSZxZyftTIAQhAOlwwkjPXxh51FS7OHlfqZkFEIiIUKIYZZJ53io5sUx3VbqfUfJ+Db3hieq9ah+/EmKUEVNsZOyyE/QDQBT13LBCNbfmOGWb+3fsfsa2traitbXVWvb+++8jiiKMHDnSWj5y5EgsXbrU2+/SpUu97cvlMt5//32MHj26CbPv2ajXe2U5/3O53sTu5qkvk5i9yvtLVLEAuNt3OLF7hflkErtXmXtYR4Eh71ycfS+VnWTrZfd8Iox1bmJ2+3mbc+6JnI+n9sjue7XzvN3pb7XzvNqulyn/ebXE7tXWV0vsXq5yPmqv44fVan2VnMTsJXKOu7M3ZXKf29v3xOuLZl1XRNS8z0PVV2d9VvQ1OkXEWr58OQBgyYU/7ozuGYZpgKFD/6u7p1CV5cuXY+jQoXVv19LSglGjRuEPSx9u6nxGjRqFlpaWpvbJpKjPin99cl83z4RhGM3H3T2B6nT0s6LZFwGDBg3CRhttZC2bOXMmZs2a5W0v3EqVRJll1dr7lq+tqM+K/f/4UDfPhGEYl0bOxV1FRz8r/rb0T02dT2d/VvQlOkXEGjNmDJYsWYLBgwfzgWYYpipEhOXLl2PMmDENbd+vXz+8/vrraG9vb+q8Wlpa0K9fv6b2yaTwZwXDMPXQUz8rfBcW7i/rADBixAiEYZgR0d57773ML+4Kn+j23nvvoVAoYPjw4R2cee+APysYhqmHvvhZ0dfoFBErCAJsuOGGndE1wzBrKR39Jadfv34sOPUy+LOCYZh66c2fFS0tLdhuu+0wb948HHrooXr5vHnzcMghh3i32WWXXfDrX//aWvb4449j++23R7FY7NT59hT4s4JhmHrpa58VfQ1O7M4wDMMwDMMwXcDpp5+OG2+8ETfffDP+9re/4bTTTsPixYtx8sknAwDOPvtsfPWrX9XtTz75ZLzxxhs4/fTT8be//Q0333wzbrrpJpxxxhndtQsMwzBMJ1Pts6Kv0ylOLIZhGIZhGIZhbI488kh88MEHuOCCC/DOO+9g4sSJePjhhzF27FgAwDvvvIPFixfr9ptssgkefvhhnHbaabjmmmswZswY/Nd//RcOO+yw7toFhmEYppOp9lnR1xHUnBIvDMMwDMMwDMMwDMMwDNNpcDghwzAMwzAMwzAMwzAM0+NhEYthGIZhGIZhGIZhGIbp8bCIxTAMwzAMwzAMwzAMw/R4WMRiGIZhGIZhGIZhGIZhejwsYjEMwzAMwzAMwzAMwzA9HhaxGIZhGIZhGIZhGIZhmB4Pi1gMwzAMwzAMwzAMwzBMj4dFLIZhGIZhGIZhGIZhGKbHwyIWwzAMwzAMwzAMwzAM0+NhEYthGIZhGIZhGIZhGIbp8bCIxTAMwzAMwzAMwzAMw/R4WMRiGIZhGIZhGIZhGIZhejwsYjEMwzAMwzAMwzAMwzA9HhaxGIZhGIZhGIZhGIZhmB4Pi1gMwzAMwzAMwzAMwzBMj4dFLIZhGIZhGIZhGIZhGKbHwyIWwzAMwzAMwzAMwzAM0+NhEYthmD7Ds88+iy996UsYPXo0WlpaMGrUKBx++OFYsGBBpu2sWbMghMD777/fDTPtGq699lrMnTs3s3zRokUQQnjXdQWPPfYYpkyZgjFjxqC1tRVjxozBHnvsgZ/85CfdMp9mMHfuXAghsGjRopraf/3rX8d+++2nn69ZswbTp0/Heuuthw033BAXXHABiMja5o033sCgQYPw5JNPZvq76aabsMEGG2DlypUd2g+mZ6PeZ88995x3/UEHHYRx48ZZy8aNG4fjjz++ofH22GMPTJw4saFtAWDVqlWYNWsWnn766cy6ev5m9thjD+yxxx4Nz6MjXHXVVfjUpz6FlpYWCCHw8ccfAwDOPfdcbLzxxigUClhnnXWaPm7e+bsSH3/8MUaMGIG77rpLL3v55Zfxuc99DoMHD8Z2222HP/7xj5ntLrvsMnz605/GmjVrMus+//nPY8aMGfVOn2EYhmEahkUshmH6BFdddRV22203vPnmm7j00kvxxBNP4PLLL8dbb72Fz33uc7j66qu7e4pdTt5F0OjRo7FgwQIceOCBXT6n66+/Hvvttx+GDBmCq6++Go899hguueQSbLHFFvjlL3/Z5fPpDl588UXceuutuPDCC/WySy+9FPfeey+uu+46XHDBBbjkkktw++23W9udcsopOOyww7D33ntn+jzuuOMwcOBAXHrppZ0+f6Z3cd999+G8887rlrFXrVqF888/3ytiHXjggViwYAFGjx7d9ROrkZdeegnf+c53sOeee+Kpp57CggULMHjwYDzwwAO46KKL8NWvfhXz58/HE0880fSxGxGxzj//fIwZMwZHHnkkAKBcLmPatGkYMWIE7r33XnzmM5/BIYccooU4QP6ocf755+P6669Hv379Mn3++Mc/xrXXXovXXnutI7vD9DGqCe7dycMPP4xZs2Z519Uq+j/99NMQQnjPbZ3NokWLcOCBB2LYsGEQQmiR+cUXX8TkyZMxdOhQCCEwZ86cpo776quvYtasWTX/WKe44IILsOWWWyKOYwAAEWHmzJnYYIMNsP766+M73/kO2trarG0++eQTjBkzBjfffHOmvyeffBKDBg3CW2+91fC+ML0AYhiGWcv5wx/+QEEQ0EEHHUSlUslaVyqV6KCDDqIgCOgPf/iDXj5z5kwCQP/5z3+6eroZVq1a1Sn9brXVVjR58uRO6btRNt54Y/r85z/vXRdFUdPGWbVqFcVx3LT+qnHLLbcQAHr99dertj3iiCNo5513tpbtuOOONHv2bP38G9/4Bh155JH6+Z133knDhw+v+H69/PLLaejQobRy5cr6d4DpFaj32cKFC73rDzzwQBo7dmzTxps8eTJttdVWDW//n//8hwDQzJkzOzyP7jiX/eIXvyAA9Kc//clafuGFFxIAevfddztt7HrP3x988AH179+frr/+er3s1VdfJQD09ttvExFRe3s7DRw4kB555BHdZr/99qPjjjuuYt8TJ06kb3zjG3XNn+nbVDtXdSfTp0+nvEvkF154gf71r39V7eO3v/0tAaDf/va3TZ5ddb74xS/S8OHD6b777qMFCxbQokWLiIjoM5/5DE2YMIEefvhhWrBgAb3zzjtNHfeee+6pe5/feustGjhwIN1zzz162a233koDBw6kW265hf7nf/6H1l9/ffrxj39sbXfKKafQ5MmTc7/H7bnnnvTVr361of1gegfsxGIYZq3n4osvhhAC1113HQqFgrWuUCjg2muvhRDCG662ZMkSTJs2DUOGDMHQoUPxla98Bf/5z3+sNk899RT22GMPDB8+HP3798fGG2+Mww47DKtWrdJt2tvbceGFF2LzzTdHa2sr1ltvPXzta1/L9DVu3DgcdNBBuPfeezFp0iT069cP559/PiZNmoTdd989M78oirDBBhtg2rRpetn555+PnXbaCcOGDcOQIUPw2c9+FjfddJMVfjZu3Di88sormD9/PoQQEELoMKO8cMI//OEP2HvvvTF48GAMGDAAu+66K37zm99YbdSvq7/97W9xyimnYMSIERg+fDimTZuGt99+2/Pq2HzwwQe5zosgsD+yhBD41re+hRtuuAGf/vSn0draii233NIKlTHn9Pjjj+PrX/861ltvPQwYMED/snf33Xdjl112wcCBAzFo0CBMnToVL774otXHc889h6OOOgrjxo1D//79MW7cOHz5y1/GG2+8kZnns88+i9122w39+vXDmDFjcPbZZ6NUKlXddwB49913cd999+HYY4+1lq9ZswYDBw7UzwcNGqRDez7++GPMmDEDV1xxBUaMGJHb9zHHHINly5Zljg/Tt/E5C1555RVMmTIFAwYMwHrrrYfp06fjN7/5Ta6zYOHChdh9990xYMAAjB8/Hj/5yU/0r+p5LFq0COuttx4Aec5S5yE1F184IRHh0ksvxdixY9GvXz989rOfxSOPPOLtf9myZTjjjDOwySaboKWlBRtssAFmzJhRc0jtzTffjG233Rb9+vXDsGHDcOihh+Jvf/ubXr/HHnvgK1/5CgBgp5120nMfN24czj33XADAyJEjIYTQro5mfVZUOn/nMXfuXJTLZe3CAqDPIercUiwW0dLSopffeeedeO655/DTn/60Yt/HHnss7rjjDixfvrxiO4bp7UyaNAmbbrppd0+jIi+//DJ23HFHfPGLX8TOO++MsWPH6uX77LMP9t9/f+y8884YNWpUN88UuPLKK7HOOutY32F/85vf4JhjjsHxxx+PL33pS/jud7+Lhx56SK9fsGAB5s6dixtuuAFCCG+/06dPx+23344lS5Z0+j4w3UR3q2gMwzCdSblcpgEDBtBOO+1Usd2OO+5IAwYMoHK5TESpE2vs2LH0/e9/nx577DG64ooraODAgTRp0iRqb28nIqLXX3+d+vXrR/vuuy/df//99PTTT9Ptt99Oxx57LH300UdEJB1E++23Hw0cOJDOP/98mjdvHt144420wQYb0JZbbmk5rcaOHUujR4+m8ePH080330y//e1v6c9//jNdeeWVBID+8Y9/WPN++OGHCQA9+OCDetnxxx9PN910E82bN4/mzZtHP/7xj6l///50/vnn6zYvvPACjR8/niZNmkQLFiygBQsW0AsvvKD3CQDdcsstuv3TTz9NxWKRtttuO7r77rvp/vvvpylTppAQgu666y7dTv26On78ePr2t79Njz32GN1444207rrr0p577ln19dpnn32oUCjQzJkz6aWXXtKvhw8AtNFGG9GWW25Jd955Jz344IO03377EQDrVz01pw022IC++c1v0iOPPEK//OUvqVwu00UXXURCCPr6179ODz30EN177720yy670MCBA+mVV17Rfdxzzz30ox/9iO677z6aP38+3XXXXTR58mRab731LPfTK6+8QgMGDNBzeuCBB2jq1Km08cYb1+TEuu222wgAvfrqq9byk08+mbbddltatGgRvfzyyzRmzBi65JJLiEi6svbaa6+qx5aIaIsttqBp06bV1Jbpfaj3+rPPPkulUilzO+CAAzJOrLFjx1pOm7fffpuGDx9OG2+8Mc2dO5cefvhhOvbYY2ncuHGZX9knT55Mw4cPpwkTJtD1119P8+bNo1NPPZUA0K233lpxrmvWrKFHH32UANAJJ5ygz0PK5eBzL6rz8gknnECPPPII/exnP6MNNtiARo0aZbmSVq5cSZ/5zGdoxIgRdMUVV9ATTzxBV155JQ0dOpT22muvqi7M2bNnEwD68pe/TL/5zW/otttuo/Hjx9PQoUP1OfiVV16hc889V58r1dxfeOEFOuGEEwgAPfroo7RgwQJasmRJUz8rKp2/89hrr71oxx13tJatWrWKhg0bRj/84Q/po48+oquvvppaWlpoyZIl9OGHH9LIkSPptttuq9gvEdGf/vSnzOcQw1SiVifW73//e9prr71o0KBB1L9/f9pll13ooYce0us/+eQTCsOQLr30Ur3sP//5DwkhaMiQIZb7/tvf/jaNGDGi4t//cccdRwAyN3Uecs+XRER/+9vfaOrUqdS/f38aPnw4nXTSSfTggw96XUnz5s2jvfbaiwYPHkz9+/enXXfdlZ544okqR0vyxhtv0DHHHEPrrbcetbS00Oabb06XX365dqkr95d7U8favRHJc+X3vvc9GjduHLW2ttK6665L2223Hd1xxx3W2AsXLqSDDz6Y1l13XWptbaXPfOYzdPfdd+v1eWOY3yNd2traaPjw4fT973/fWv6FL3yBTjvtNP38yiuvpG233ZaIpFt04sSJ1vfZvL6HDh1K5513XtXjyvROWMRiGGatZunSpQSAjjrqqIrtjjzySCv8Q10smR+kRES33347AaBf/OIXRET0y1/+kgDQSy+9lNv3nXfeSQDoV7/6lbV84cKFBICuvfZavWzs2LEUhiG99tprVtv333+fWlpa6Ic//KG1/IgjjqCRI0dmwiQVURRRqVSiCy64gIYPH259ecsLR/GJWDvvvDOtv/76tHz5cr2sXC7TxIkTacMNN9T9qi8yp556qtXnpZdeSgCq2tf/9a9/0cSJE/UXoP79+9Pee+9NV199tRYOFWr90qVLrTltvvnm9KlPfUovU3NyreWLFy+mQqFA3/72t63ly5cvp1GjRtERRxyRO89yuUwrVqyggQMH0pVXXqmXH3nkkblzqkXEOuWUU6h///6ZL9lLly6lHXbYQR+XAw44gFatWkW/+93vqH///hlxM49jjjmGRo4cWVNbpveRdyFh3qqJWN///vdJCGGJuEREU6dO9YpY8ITTbbnlljR16tSq860UTuiKWB999BH169ePDj30UKvdH//4RwJgncsuvvhiCoIgc4GsztcPP/xw7pw++ugj6t+/Px1wwAHW8sWLF1NraysdffTRmTm64/jC0Zv9WVFvOOGAAQPo5JNPziy/7777aMiQIQSAWltb6YYbbiAiohNOOIH22Wefmvpub28nIQT94Ac/qHk+TN+mFhGr1h/Pdt55Z5oyZYp+ftddd1G/fv1ICEF//OMf9fItttii4uc6kfwOcvjhhxMALRAvWLCA1qxZQ0TZ8+XSpUtp/fXXpw022IBuueUWevjhh+mYY47RP1yZ58v//u//JiEEffGLX6R7772Xfv3rX9NBBx1EYRhWFbLee+892mCDDWi99daj66+/nh599FH61re+RQDolFNOISIp6C1YsIBGjRpFu+22m5770qVLacGCBQSADj/8cL2ciOikk06iAQMG0BVXXEG//e1v6aGHHqKf/OQndNVVV+mxn3rqKWppaaHdd9+d7r77bnr00Ufp+OOPt74nvvfee1r8v+aaa/QY7733Xu4+/e53v/Oej3/yk5/QhhtuSC+//DItWrSIJk6cqPfxoosuos0335za2toqHi8iov33358++9nPVm3H9E5YxGIYZq2mVhHriCOOIAD6A1ddhDz33HNWu1KpRIVCgU444QQikl94WlpaaMcdd6S5c+fSv//970zfxxxzDK2zzjrU3t6ecUa4YsnYsWNp0qRJ3jkedthhtMEGG+hf3T788ENqbW3N/Ir15JNP0t57760vTMybKa7UKmKtWLGChBAZYYqI6JJLLiEA9Le//Y2I0i+mjz76qNVOOS6effZZ776ZRFFE8+fPp/PPP58OPvhgvR/bbbcdrV69WrcDQAcddFBme/XaLVmyxJrTAw88YLX7+c9/rr9Eu6/LkUceSeuvv75uu3z5cjrzzDNp0003pTAMrWNqXhiuv/76FedUTcQ65JBDaOONN/aui+OYXn/9dXrrrbeISP7SuMUWW9BFF11ERPIiecstt6R1112XDjzwQFq8eHGmj9NOO42EELmiJ9O7Ue/12267jRYuXJi5fe5zn6sqYu2444609dZbZ/qeO3euV8QaNWpUpu1RRx1Fm2++uX5eLpetvy91DqtHxFKu01/+8peZtmPHjrXOZbvtthtts802mb/r5cuXkxCCzjzzTM/RI2uc//mf/8ms23///S0RuB4Rq9mfFfWIWB999BEBoB/96Efe9WvWrKG//e1vtGLFCiIimj9/Pg0YMID+9a9/0apVq2j69Ok0atQo2mijjWjmzJleJ8u6665LX/nKV2qaD8PUImLV+uPZueeeS/3799dC04knnkj77bcfbbPNNtqx89ZbbxEA+tnPflZ1bpVyYrnnyx/84AckhMiI0/vuu691vly5ciUNGzaMDj74YKtdFEW07bbbZlySLmeddZb3B4NTTjmFhBDWD59jx46lAw88MNMHAJo+fbq1bOLEifTFL36x4tibb745TZo0KfO94aCDDqLRo0fr83m9ObHU90fzeymRPFbKVQ+AdtppJ3r33Xfpn//8Jw0YMIB+97vf1dT/OeecQ0EQ6PMas3bBObEYhlmrGTFiBAYMGIDXX3+9YrtFixZhwIABGDZsmLXczRlQKBQwfPhwfPDBBwCATTfdFE888QTWX399TJ8+HZtuuik23XRTXHnllXqbd999Fx9//DFaWlpQLBat29KlS/H+++9bY+TlhPr617+Ot956C/PmzQMg85W0tbVZ+Wz+/Oc/Y8qUKQCAn//85/jjH/+IhQsX4pxzzgEArF69uuJx8PHRRx+BiLzzGjNmDADo46EYPny49by1tbXm8YMgwOc//3n86Ec/woMPPoi3334bRx55JJ5//vlMJRpfTge1zJ2TO/93330XALDDDjtkXpe7777bel2OPvpoXH311TjxxBPx2GOP4c9//jMWLlyI9dZbz9qnDz74oOKcqrF69WpvBTAAOu+NOuY/+clPEAQBvv/97+Pvf/87jjnmGPz0pz/Fm2++iREjRuh8PSb9+vUDEemcN8zayRZbbIHtt98+cxs6dGjVbT/44AOMHDkys9y3DMj+rQPy7938u9h0002tv68LLrigjr1J5wVU/ptXvPvuu/jf//3fzN/14MGDQUSZc65vnLzznXteqZXO+KyoFfVa5J1bWltbsfnmm2PgwIFob2/HSSedhHPPPRebbropZs+ejWeeeQYvvvginnzySdx4443eqoj9+vVr6POFYXysXLkSf/rTn3D44Ydj0KBBenkYhjj22GPx5ptv6oqYe++9N1avXo1nnnkGAPDEE09g3333xT777KO/L6kKofvssw8AmV+vXC5bt0b47W9/i6222grbbruttfzoo4+2nj/zzDP48MMPcdxxx1ljxnGM/fbbDwsXLqyYr++pp57ClltuiR133NFafvzxx4OI8NRTTzU0/x133BGPPPIIzjrrLDz99NOZv+F//etf+vsFAGvuBxxwAN55552GK5O+/fbbEEJkcnkOGDAAjzzyCN58800sWrQIzz77LNZff32cfPLJOOaYY7D77rtj/vz52H777bHOOutg8uTJePnllzP9r7/++ojjGEuXLm1ofkzPplC9CcMwTO8lDEPsueeeePTRR/Hmm29iww03zLR588038fzzz2P//fdHGIbWuqVLl2KDDTbQz8vlMj744APrwm333XfH7rvvjiiK8Nxzz+Gqq67CjBkzMHLkSBx11FE6ufmjjz7qnePgwYOt53mJKqdOnYoxY8bglltuwdSpU3HLLbdgp512wpZbbqnb3HXXXSgWi3jooYesC5b7778//yBVYd1110UQBHjnnXcy61Sy9koJxTvKwIEDcfbZZ+Puu+/OfFHxfTlRy9yLa/e4qjn/8pe/1IlPfXzyySd46KGHMHPmTJx11ll6eVtbGz788EOr7fDhwyvOqRojRozACy+8ULXda6+9hp/85Cd44oknUCwW8cQTT2CrrbbCfvvtBwA4/fTTse2222LFihXWBcCHH36I1tZWaxnDmAwfPlwLvCYduRD49a9/bZVIV0JsvfPKm8fSpUutxOYjRoxA//79veXX1fpq4+Sd7zpyrmv2Z0WtqH1yz1c+Zs+ejUKhgDPOOAMA8Mgjj+BrX/saRo0ahVGjRuGII47Aww8/jK997WvWdh999FGnfg4wfYt6fjzbddddMWDAADzxxBPYaKONsGjRIuy777548803cdVVV2HFihV44oknMH78eGyyySYAgFtvvTXzHiaj+E2tfPDBB7pPE5+wDgCHH354bl8ffvihVcDFHcdXvCHvh8Ra+a//+i9suOGGuPvuu3HJJZegX79+mDp1Ki677DJMmDBBz/uMM87Q5wSXjojrxWIx871bYX73vu222/Dyyy/jnnvuwQcffIAvfvGLuOyyy3DMMcfgoosuwqGHHopXX30VxWJRb6O+A7O4vnbCIhbDMGs9Z599Nh555BGceuqpuO+++6wPzCiKcMopp4CIcPbZZ2e2vf3227Hddtvp5//zP/+DcrmMPfbYI9M2DEPstNNO2HzzzXH77bfjhRdewFFHHYWDDjoId911F6Iowk477dTwfqhfIOfMmYPf//73eO6553DDDTdYbYQQKBQK1j6uXr0a//3f/53pz3VL5DFw4EDstNNOuPfee3H55Zejf//+AIA4jvGLX/wCG264IT796U83vF8m77zzjvdLq6oK5l78Pvnkk3j33Xe1SySKItx9993YdNNNvYKlydSpU1EoFPDvf/8bhx12WG47IQSISLvJFDfeeCOiKLKW7bnnnnjwwQe9c6qFzTffHHfeeSc++eSTiq6Zk046Cccffzx23XVXAPLLt/kr7ooVK/Ryk//7v/+zRE+GcZk8eTIuv/xyvPrqqxmBvFG23npr7/J6HJo777wz+vXrh9tvv936e33mmWfwxhtvWBd4Bx10EGbPno3hw4d7LzArscsuu6B///74xS9+gS996Ut6+Ztvvomnnnqq4kVorTTjs6LW8zcAtLS0YPz48fj3v/9dsd1rr72GSy+9FE899ZS+GPSdW9zzyttvv401a9bwuYVpGvX8eNbS0oLPfe5zeOKJJ7Dhhhti1KhR2HrrrTF+/HgAwNNPP40nn3wSBx10kO7j4IMPxsKFCzs8z1p/uFJzveqqq7Dzzjt7+8pzu6pxOuOHxIEDB+L888/H+eefj3fffVe7sg4++GD8/e9/1/2effbZVgVBk80226yhsUeMGIH29nasXLkyV7wDpED3ve99D1dddRXWXXddPPTQQwiCACeeeCIA4Mwzz8RFF12Ef/zjH9hqq630dkq0Z3F97YRFLIZh1np22203zJkzBzNmzMDnPvc5fOtb38LGG2+MxYsX45prrsGf/vQnzJkzRwsCJvfeey8KhQL23XdfvPLKKzjvvPOw7bbb4ogjjgAAXH/99Xjqqadw4IEHYuONN8aaNWv0r//Ktn7UUUfh9ttvxwEHHIDvfve72HHHHVEsFvHmm2/it7/9LQ455BAceuihNe3L17/+dVxyySU4+uij0b9/f6tcOgAceOCBuOKKK3D00Ufjm9/8Jj744ANcfvnlGQEGkBeWd911F+6++26MHz8e/fr1y73YvPjii7Hvvvtizz33xBlnnIGWlhZce+21ePnll3HnnXfmusfqZauttsLee++N/fffH5tuuinWrFmDP/3pT/jpT3+KkSNH4oQTTrDajxgxAnvttRfOO+88DBw4ENdeey3+/ve/13TBPW7cOFxwwQU455xz8H//93/Yb7/9sO666+Ldd9/Fn//8Z/3lbsiQIfj85z+Pyy67DCNGjMC4ceMwf/583HTTTVhnnXWsPs8991w8+OCD2GuvvfCjH/0IAwYMwDXXXFMxTMBkjz32ABHhT3/6kw4Ldbn55pvxj3/8Aw888IBetvfee+O0007Dj370I+y+++6YOXMmdtttN8u5Eccx/vznP2eOIcOYzJgxAzfffDP2339/XHDBBRg5ciTuuOMO/P3vfwcgw32bxeDBgzF27Fg88MAD2HvvvTFs2DD9N+ay7rrr4owzzsCFF16IE088EV/60pewZMkSzJo1K+N6mDFjBn71q1/h85//PE477TRss802iOMYixcvxuOPP47vfe97uSLROuusg/POOw8//OEP8dWvfhVf/vKX8cEHH+D8889Hv379MHPmzIb2tdmfFfWcvwF5bnnkkUdy1xMRvvnNb+JrX/uadZE9depU/Nd//RcmTJiAFStW4I477sCcOXOsbZ999lkAUsRnmGZQ749n++yzD84++2wMHjxY/z0NHDgQO++8M6666iq8/fbbejkgRSFfKDRgi+tq3Dz23HNPXHrppfjLX/5ihRTecccdVrvddtsN66yzDl599VV861vfquNISPbee29cfPHFeOGFF/DZz35WL7/tttsghGjK397IkSNx/PHH4y9/+QvmzJmDVatWYbPNNsOECRPwl7/8BbNnz664fT0/SgDyRzsA+Pe//41tttkmt93pp5+OHXbYAUcddRQAea5qa2tDuVxGoVCo+KPd8OHDK4qDTC+my7NwMQzDdBMLFiygww8/nEaOHEmFQoHWX399mjZtGj3zzDOZtiox7/PPP08HH3wwDRo0iAYPHkxf/vKXdQVD1eehhx5KY8eOpdbWVho+fDhNnjw5U2q8VCrR5ZdfTttuuy3169ePBg0aRJtvvjmddNJJ9M9//lO3y0vIabLrrrsSADrmmGO862+++WbabLPNqLW1lcaPH08XX3wx3XTTTZnE4osWLaIpU6bQ4MGDraplvuqERGmp64EDB1L//v1p5513pl//+tdWm7xkrar0c7WEnzfccANNmzaNxo8fTwMGDKCWlhbadNNN6eSTT9aJ2hVIkpRee+21tOmmm1KxWKTNN9+cbr/99prmpLj//vtpzz33pCFDhlBrayuNHTuWDj/8cKta0JtvvkmHHXYYrbvuujR48GDab7/96OWXX/aW2/7jH/9IO++8M7W2ttKoUaPo+9//Pv3sZz+rKbF7FEU0btw4bxJ9IlkBaNiwYXTPPfdk1t1+++00YcIEGjRoEO277770f//3f9b6J598Ur+nmbWTau/1Aw88sGpidyKil19+mfbZZx/q168fDRs2jE444QS69dZbCQD95S9/0e0mT55MW221VWac4447LjNOHk888QRNmjSJWltbCYCei5vYnUgWN7j44otpo402opaWFtpmm23o17/+NU2ePDmT5HzFihV07rnn0mabbUYtLS00dOhQ2nrrrem0007LJBL2ceONN9I222yjtz3kkEMyFRvrSeze7M+KvPN3Hurv/89//nPu/o4ZM4Y++eQTa/mKFSvoxBNPpOHDh9PIkSPprLPO0omcFccee6y3GADD5KH+di655BK65557MreVK1fq6oQ77bQT3XPPPfTAAw/Q1KlTM9UJiYief/55nQj81ltv1cvPP/98AkBCCHr//ffrmtvMmTPp2WefpYULF+pqeO758p133qH11lsvU51wo4028lYnDIKAjjzySLrnnnto/vz59Mtf/pLOO+88b+VQE1WdcNSoUfSzn/2MHnvsMfrOd77jLbpTT2L3HXfckS644AK6//77af78+XT99dfT8OHDaZdddtFtnnrqKWptbaUpU6bQHXfcQfPnz6f77ruPZs+eTYcffrhu93//938EgL74xS/S73//e1q4cGHFY7548WICoCui+njyySdp4MCB1ufAf/7zHxo8eDB985vfpHnz5tEXvvAFGjduXKaC9dZbb03Tpk3L7Zvp3bCIxTAMw/RKfF/I1gYuv/xyWnfddWnVqlVN7fcrX/kK7brrrk3tk+k7fOMb36BBgwbVVNqc6ZlsvfXWVS+W6+WTTz6hgQMH1lT1jWEUSijKuynRopYfz4ikwD1ixAgCoCv4EskflQDQZz/72Zrn1tbWRieeeCKtt956JISw5uMT/V999VXad999LdH/gQce8P5wN3/+fDrwwANp2LBhVCwWaYMNNqADDzzQ+8OUyxtvvEFHH300DR8+nIrFIm222WZ02WWXZUTlekSss846i7bffntad9119Q+fp512WkZ8+stf/kJHHHEErb/++lQsFmnUqFG011570fXXX2+1mzNnDm2yySa6irP7Y6jL7rvvTgcccIB33erVq2nChAl02WWXZdbNmzePtt56axowYADtvPPO9OKLL1rr//WvfxEA+tWvflVxfKb3IogayGLHMAzDMN2MEALTp0/H1Vdf3d1TaSpr1qzBFltsgenTp+cmUq2Xf//739hiiy3w1FNP4XOf+1xT+mTWXi644AKMGTMG48ePx4oVK/DQQw/hxhtvxLnnnttQZUGmZ/Doo4/i0EMPxT//+c+qOQNr5fzzz8fdd9+N//3f/0WhwFlKGIapnV/96lc48sgj8cYbb1iJ3DvKeeedh9tuuw3//ve/+by0lsKvKsMwDMP0IPr164f//u//xosvvti0PhcvXoyrr76aBSymJorFIi677DK8+eabKJfLmDBhAq644gp897vf7e6pMR1gv/32w2WXXYbXX3+9aSLWkCFDMHfuXL5QZBimbqZNm4YddtgBF198cdN+kPz4449xzTXX4KqrruLz0loMO7EYhmEYhmEYhmEYhulSXn75ZTz44IM466yzmlI45MUXX8QTTzyBM844o2lFh5ieR/NKzDAMwzAMwzTA7373Oxx88MEYM2YMhBC4//77rfVEhFmzZmHMmDHo378/9thjD7zyyitWm7a2Nnz729/GiBEjMHDgQHzhC1/Am2++2YV7wTBMX+Diiy+GEAIzZszQy2o5RzEMk2XixIn44Q9/2LTKt5MmTcL3v//9Pitg9ZXzE4tYDMMwDMN0KytXrsS2226bG05w6aWX4oorrsDVV1+NhQsXYtSoUdh3332xfPly3WbGjBm47777cNddd+EPf/gDVqxYgYMOOghRFHXVbjAMs5azcOFC/OxnP8M222xjLa/lHMUwDNOZ9KXzE4tYDMMwDMN0K/vvvz8uvPBCTJs2LbOOiDBnzhycc845mDZtGiZOnIhbb70Vq1atwh133AEA+OSTT3DTTTfhpz/9KfbZZx9MmjQJv/jFL/DXv/4VTzzxRFfvDsMwayErVqzAMcccg5///OdYd9119fJazlEMwzCdSV87P7GIxTAMwzBMj+X111/H0qVLMWXKFL2stbUVkydPxjPPPAMAeP7551Eqlaw2Y8aMwcSJE3UbhmGYjjB9+nQceOCB2GeffazltZyjGIZhOpO+dn7qlJT9cRzj7bffxuDBg/tsPCrD9CaICMuXL8eYMWOaFpPeU+HzE9MXaeRvfM2aNWhvb+/QmO7fWGtrK1pbW+vqZ+nSpQCAkSNHWstHjhyJN954Q7dpaWmxfn1UbdT2vQE+PzF9kd5wfrrrrrvwwgsvYOHChZl1tZyj1gb4/MT0Rbrj/KTGrfUc1RfPT50iYr399tvYaKONOqNrhmE6kSVLljSt7HZPhc9PTF+m1r/xNWvWYJNNNsDSpR82PNagQYOwYsUKa9nMmTMxa9ashvpzv8z5vuC51NKmJ8HnJ6Yv01PPT0uWLMF3v/tdPP744+jXr19un42co3oTfH5i+jJdeX4Caj9H9dXzU6eIWIMHDwYgD+qQIUM6YwiGYZrIsmXLsNFGG+m/3bUZPj8xivifc7t7Cl3GshVrMHaPH9T8N97e3o6lSz/EotfvwpAhA+ofb9kqjNvkqMzfWb0uLAAYNWoUAPlr4ujRo/Xy9957T/+yOGrUKLS3t+Ojjz6y3Fjvvfcedt1117rH7C74/MQoJo79UndPocuIqYy3Pnmqx56fnn/+ebz33nvYbrvt9LIoivC73/0OV199NV577TUAlc9RawN8fmIUI9eb2N1T6DKIYrSV3uqy8xNQ3zmqr56fOkXEUqrekCFD+CTHML2I3qzI1wqfnxhFPKh/d0+hy6n3b3zIoH4Y0shximO5fRP+zjbZZBOMGjUK8+bNw6RJkwDIL4nz58/HJZdcAgDYbrvtUCwWMW/ePBxxxBEAgHfeeQcvv/wyLr300g6N35Xw+YlRBKLY3VPocnrq+WnvvffGX//6V2vZ1772NWy++eb4wQ9+gPHjx1c9R60N8PmJUQixdqce8dFl5yegrnNUXz0/dYqIxTAMwzDMWkAc6y9TdW9XBytWrMC//vUv/fz111/HSy+9hGHDhmHjjTfGjBkzMHv2bEyYMAETJkzA7NmzMWDAABx99NEAgKFDh+KEE07A9773PQwfPhzDhg3DGWecga233jqT5JRhmLWELjo/DR48GBMn2s6TgQMHYvjw4Xp5tXMUwzB9jEbPT2rbGumr5ycWsRiGYZi1nvi1n3f3FLqNYLNvIFi2DMB3u3squTz33HPYc8899fPTTz8dAHDcccdh7ty5OPPMM7F69Wqceuqp+Oijj7DTTjvh8ccft+z9/+///T8UCgUcccQRWL16Nfbee2/MnTsXYRh2+f4wTD2MG3ZQd0+h21j04UNYtmwZhg4d2t1T6RC1nKMYpjcyoN+47p5Ct7FqzSI+P/VQBBFRsztVL/Ynn3zCdlOG6QX0pb/ZvrSvTEpfF7Hqfd+r9h8u/RWGDBlY95jLlq3EsFGH8d9ZnfD5qW/CIhafn3oDfH7qm7CI1bXnJ9kHn6OqwU4shmEYhmH8xNRguE7Tfx9jGIax4fMTwzA9lUbPT2pbpiIsYjEMwzAM46eLcs4wDMPUDZ+fGIbpqXRRTqy+CotYDMMwDLOWEWz2je6eAsMwjJdFHz7U3VNgGIbxsmrNou6eAlMDLGIxDMMwDOOHnQ4Mw/RU+PzEMExPhZ1YnQqLWAzDMAzD+OGLRIZheip8fmIYpqfCIlanwiIWwzAMwzB+qMEvYcRfwBiG6WT4/MQwTE+l0fOT2papCItYDMMwDMN4ERRDNPBlqpFtGIZh6oHPTwzD9FQaPT+pbZnKBN09AYZhGIZhGIZhGIZhGIapBjuxGIZhGIbxwzlnGIbpqfD5iWGYngrnxOpUWMRiGIZhGMZPTPLWyHYMwzCdCZ+fGIbpqTR6flLbMhVhEYthGIZhGD/sdGAYpqfC5yeGYXoq7MTqVFjEYhiGYRjGD18kMgzTU+HzE8MwPRUWsToVFrEYhmGYtZL4tZ939xS6nGCzb3T3FBiGqYFxww7q7il0OYs+fKi7p8AwTA0M6Deuu6fQ5axas6i7p8DUAYtYDMMwDMP4IQIaKfVMnM+BYZhOhs9PDMP0VBo9P6ltmYqwiMUwDMMwjB8O12EYpqfC5yeGYXoqHE7YqbCIxTAMwzCMH67+xTBMT4XPTwzD9FS4OmGnEnT3BBiGYRiGYRiGYRiGYRimGuzEYhiGYdYa+mIy906Fw3UYpmn0xWTunQqfnximafTFZO6dCocTdiosYjEMwzAM44ca/BLWaDJThmGYWuHzE8MwPZVGz09qW6YiLGIxDMMwDONFxDFEA1/CGtmGYRimHvj8xDBMT6XR85PalqkMi1gMwzAMw/ghaqzUM5eHZhims+HzE8MwPZVGz09qW6YinNidYRiGYRiGYRiGYRiG6fGwE4thGIZhGD+cOJlhmJ4Kn58YhumpcGL3ToVFLIZhGIZh/PBFIsMwPRU+PzEM01NhEatTYRGLYRiGYRg/MclbI9sxDMN0Jnx+Yhimp9Lo+Ulty1SEc2IxDMMwDMMwDMMwDMMwPR52YjEMwzBMLybY7Bud1zmH6zAM0wEWffhQ53XO5yeGYTrAqjWLOq9zDifsVFjEYhiGYRjGT0wNXiSyFZ5hmE6Gz08Mw/RUGj0/qW2ZirCIxTAMwzCMHyJ5a2Q7hmGYzoTPTwzD9FQaPT+pbZmKsIjFMAzDMIwfDtdhGKanwucnhmF6KhxO2KlwYneGYRiGYRiGYRgP1113HbbZZhsMGTIEQ4YMwS677IJHHnlErz/++OMhhLBuO++8czfOmGGYvkJfPT+xE4thGIbp1cSv/by7p7D2Qg2WiGYrPMMAAMYNO6i7p7D20kXnpw033BA/+clP8KlPfQoAcOutt+KQQw7Biy++iK222goAsN9+++GWW27R27S0tNQ/L4bpYgb0G9fdU1h7afT8pLatkb56fmIRi2EYhmEYPxyuwzBMT6WLzk8HH3yw9fyiiy7Cddddh2effVZfJLa2tmLUqFH1z4VhmLWTLgon7KvnJw4nZBiGYRjGj/oS1siNYRimM+ng+WnZsmXWra2treqQURThrrvuwsqVK7HLLrvo5U8//TTWX399fPrTn8Y3vvENvPfee5222wzD9AI6cn5q8BzVl85PLGIxDMMwDOMnpsZvDMMwnUkHz08bbbQRhg4dqm8XX3xx7lB//etfMWjQILS2tuLkk0/Gfffdhy233BIAsP/+++P222/HU089hZ/+9KdYuHAh9tprr5pEMYZh1lI6cn6q8xzVF89PHE7IMAzDMAzDMEyfYsmSJRgyZIh+3tramtt2s802w0svvYSPP/4Yv/rVr3Dcccdh/vz52HLLLXHkkUfqdhMnTsT222+PsWPH4je/+Q2mTZvWqfvAMMzaS63nqL54fmIRi2EYhul19PVk7sFm3+iagSiWt0a2Y5g+Sl9P5r7ow4e6ZqAOnp9UNa9aaGlp0YmTt99+eyxcuBBXXnklbrjhhkzb0aNHY+zYsfjnP/9Z/9wYppPp68ncV61Z1DUDNXp+Utui9nNUXzw/sYjFMAzDMIyfRkMDOZyQYZjOphvPT0SUG47zwQcfYMmSJRg9enSHx2EYppfSkdQKHTxH9YXzE4tYDMMwDMP44eqEDMP0VLro/PTDH/4Q+++/PzbaaCMsX74cd911F55++mk8+uijWLFiBWbNmoXDDjsMo0ePxqJFi/DDH/4QI0aMwKGHHlr/3BiGWTvoouqEffX8xCIWwzAMwzAMwzCMh3fffRfHHnss3nnnHQwdOhTbbLMNHn30Uey7775YvXo1/vrXv+K2227Dxx9/jNGjR2PPPffE3XffjcGDB3f31BmGWcvpq+cnFrEYhmGYXkNfzoXVZXmwTDickGFqpi/nwuqyPFgmXXR+uummm3LX9e/fH4899lj9c2CYLqYv58LqsjxYJl0UTthXz08sYjEMwzAM4yemBsN1WMRiGKaT4fMTwzA9lUbPT2pbpiIsYjEMwzAM44edWAzD9FT4/MQwTE+lGxO79wVYxGIYhmEYJodGS0RzYneGYTobPj8xDNNTafT8lGzLVCTo7gkwDMMwDMMwDMMwDMMwTDXYicUwDMP0aPpyMnegmxK6Kzhch2Eq0peTuQPdlNBdwecnhqlIX07mDnRTQncFhxN2KixiMQzDMAzjhy8SGYbpqfD5iWGYngqLWJ0Ki1gMwzAMw/iJ4warf3E+B4ZhOhk+PzEM01Np9PyktmUqwjmxGIZhGIZhGIZhGIZhmB4PO7EYhmEYhvHD4ToMw/RU+PzEMExPhcMJOxUWsRiGYZgeR19P5t5j4ItEhsnQ15O59xj4/MQwGfp6MvceA4tYnQqLWAzDMAzD+OGcMwzD9FT4/MQwTE+Fc2J1KixiMQzDMAzjh0jeGtmOYRimM+HzE8MwPZVGz09qW6YinNidYRiGYRiGYRiGYRiG6fGwE4thGIZhGD9dlHOmXC5j1qxZuP3227F06VKMHj0axx9/PM4991wEgfy9jYhw/vnn42c/+xk++ugj7LTTTrjmmmuw1VZb1T8/hmF6P704J9aDDz5Yc9svfOELnTgThmE6Bc6J1amwiMUwDMP0CDiZe0qw2Te6ewqSLrpIvOSSS3D99dfj1ltvxVZbbYXnnnsOX/va1zB06FB897vfBQBceumluOKKKzB37lx8+tOfxoUXXoh9990Xr732GgYPHlz/HBmmDjiZe8qiDx/q7ilIerGI9cUvftF6LoQAGSFEQgj9OIqirpoW00vhZO4pq9Ys6u4pSFjE6lQ4nJBhGIZhGD8Up8lJ67lRfUlJFyxYgEMOOQQHHnggxo0bh8MPPxxTpkzBc889J6dBhDlz5uCcc87BtGnTMHHiRNx6661YtWoV7rjjjs7Yc4ZhejpddH7qDOI41rfHH38cn/nMZ/DII4/g448/xieffIKHH34Yn/3sZ/Hoo49291QZhmmERs9PPeQc1dNhEYthGIZhGD/ql8RGbnXwuc99Dk8++ST+8Y9/AAD+8pe/4A9/+AMOOOAAAMDrr7+OpUuXYsqUKXqb1tZWTJ48Gc8880zz9pdhmN5DF52fOpsZM2bgyiuvxNSpUzFkyBAMHjwYU6dOxRVXXIHvfOc73T09hmEaoSPnpx52juqJcDghwzAMwzCdwrJly6znra2taG1tzbT7wQ9+gE8++QSbb745wjBEFEW46KKL8OUvfxkAsHTpUgDAyJEjre1GjhyJN954o5NmzzAM0/n8+9//xtChQzPLhw4dikWLFnX9hBiG6fNMmjTJCmuuxAsvvNDJs8nCIhbDMAzTrXAurB5MjAZzzsi7jTbayFo8c+ZMzJo1K9P87rvvxi9+8Qvccccd2GqrrfDSSy9hxowZGDNmDI477jjdzv1CRUQ1f8limEbgXFg9mA6en3oKO+ywA2bMmIFf/OIXGD16NAAp3H/ve9/Djjvu2M2zY3oynAurB9Po+Ult282YefvWrFmDa6+9FltuuSV22WUXAMCzzz6LV155Baeeemq3zI9FLIZhGIZh/HQwcfKSJUswZMgQvdjnwgKA73//+zjrrLNw1FFHAQC23nprvPHGG7j44otx3HHHYdSoUQCgKxcq3nvvvYw7i2GYPkIvTuxucvPNN+PQQw/F2LFjsfHGGwMAFi9ejE9/+tO4//77u3dyDMM0Ri9P7D5z5kz9+MQTT8R3vvMd/PjHP860WbJkSVdPDQCLWAzDMAzD5EAxgRr4MqW2GTJkiCVi5bFq1SoEgZ2mMwxDxLH8OXKTTTbBqFGjMG/ePEyaNAkA0N7ejvnz5+OSSy6pe34Mw/R+Onp+6il86lOfwv/+7/9i3rx5+Pvf/w4iwpZbbol99tmHnaYM00tp9Pyktu1J3HPPPbrQjslXvvIVbL/99rj55pu7fE4sYjEMwzAM060cfPDBuOiii7Dxxhtjq622wosvvogrrrgCX//61wHIMMIZM2Zg9uzZmDBhAiZMmIDZs2djwIABOProo7t59gzDMB1DCIEpU6bg85//PFpbW1m8Yhimx9C/f3/84Q9/wIQJE6zlf/jDH9CvX79umROLWAzDMAzD+CGSt0a2q4OrrroK5513Hk499VS89957GDNmDE466ST86Ec/0m3OPPNMrF69Gqeeeio++ugj7LTTTnj88ccxePDg+ufHMEzvp4vOT51NHMe46KKLcP311+Pdd9/FP/7xD4wfPx7nnXcexo0bhxNOOKG7p8gwTL00en5S2/YgZsyYgVNOOQXPP/88dt55ZwAyJ9bNN99sfU/rSljEYhiGYZgeQLDZN7p7Clm6KOfM4MGDMWfOHMyZMye3jRACs2bN8iaGZximc1n04UPdPYUsa0lOrAsvvBC33norLr30UnzjG+nnwNZbb43/9//+H4tYDFOFVWsWdfcUsvTynFgmZ511FsaPH48rr7wSd9xxB/4/e/cd3lTZhgH8ToEuuijQSWnLHmWDLKWsliV7+FFEhiLIXgKKQNlDZCiKokyxCMgQ2WW0yBJky6gILRSkbChTaPN+f9TEhqQjp0nOSXL/vivXZ0/ynvOkpHfTN+95DgCUL18ey5YtQ5cuXWSpiZNYREREZJiN/JFIRDbIRvJpxYoVWLRoEZo0aYJ+/fppt1euXBkXLlyQsTIiksyGJrEAoEuXLrJNWBnCSSwiIiIyzEb+SCQiG2Qj+XT9+nWUKlVKb7tarcbLly9lqIiI8szGJrEePHiAn376CZcvX8bIkSPh7e2N48ePw9fXF4GBgRavh5NYREREREREMqhYsSJ+/fVXBAcH62xfu3at9mqsRERyOX36NJo2bQpPT08kJSXhvffeg7e3NzZs2IArV65gxYoVFq+Jk1hERERkmI2sdCAiG2Qj+TRhwgR0794d169fh1qtxvr165GQkIAVK1Zg82YF9iIjopzZ0Eqs4cOHo2fPnpg1a5bOxXRatGgh2xWiOYlFREQWp074Vu4SFEGRzdwzEUJASHgzJRR2ZZ2sfP7557l+7ODBg81YCSlJiPebcpegCIps5p6JreRT69atsXr1akybNg0qlQrjx49H9erV8csvvyAiIkLu8khhXJ1D5C5BERTZzD0TqfmkGaskR48exTfffKO3PTAwECkpKTJUxEksIiIiyoqNrHTIyty5c3W+vn37Np4+fQovLy8AGT0gXF1d4ePjw0ksIqWxoXxq1qwZmjVrJncZRGQqNrQSy9nZGampqXrbExISULRoURkqAhxkOSoREREpn+ZNmJSbFUhMTNTepk6diqpVq+L8+fO4d+8e7t27h/Pnz6N69eqYPHmy3KUS0asslE8LFy5E5cqV4eHhAQ8PD9StWxfbtm3T3i+EQHR0NAICAuDi4oKGDRvi7Nmzud5/r169sHv3bsWtviCiPMhLPhmRUebOJwBo27YtJk2apL3QhEqlwtWrVzFmzBh07NjRqH2ZCiexiIiIyO6NGzcOX3zxBcqWLavdVrZsWcydOxeffPKJjJURkZyKFSuGGTNm4Pfff8fvv/+Oxo0bo23btto/BGfNmoU5c+ZgwYIFOHr0KPz8/BAREYFHjx7lav93795Fq1atUKxYMYwYMQInTpww59MhIhti7nwCgNmzZ+P27dvw8fHBs2fPEB4ejlKlSsHd3R1Tp04111PLFk8nJCIiIsNs6HSdnNy4ccPg5ezT09Nx8+ZNGSoiomxZKJ9at26t8/XUqVOxcOFCHD58GBUqVMC8efMwduxYdOjQAQCwfPly+Pr6IiYmBn379s1x/5s2bcKDBw+wZs0axMTEYN68eShbtizefvttREVFISQkxKh6iUgBLHQ6obnzCQA8PDywf/9+7NmzB8ePH4darUb16tXRtGnT3D8nE+MkFhERWYT64uL/vnDItBBYrbZ8MTJTekN3LSEyblLGWZkmTZqgT58+WLx4MWrUqAGVSoXff/8dffv2lfWNGlkGm7n/R+kN3bXymE+v9nhxcnKCk5NTtkPT09Oxdu1aPHnyBHXr1kViYiJSUlIQGRmps5/w8HAcPHgw138kenl54f3338f777+Pa9euYdWqVViyZAnGjx+PtLQ0I58g2Ro2c/+P0hu6a0nNJ81YGJ9R5sqnpKQkhISEoHHjxmjcuLGEJ2R6PJ2QiIiIDBJq6Tdrs2TJEgQGBuK1116Ds7MznJycULt2bfj7++O7776TuzwiekVe8ykoKAienp7a2/Tp07M81pkzZ+Dm5gYnJyf069cPGzZsQIUKFbRX5vL19dV5vK+vr6Srdr18+RK///47fvvtNyQlJentl4isQ17yydiMMnc+lShRAq+//jq++eYb3Lt3T9o3xMS4EouIiIjsXtGiRbF161b8+eefuHDhAoQQKF++PMqUKSN3aURkBsnJyfDw8NB+nd0Kh7Jly+LkyZN48OAB1q1bhx49eiA+Pl57v0ql0nm8EEJvW3b27t2LmJgYrFu3Dunp6ejQoQN++eUXxax6ICLLy21GmTuffv/9d6xatQpTpkzBkCFD0KxZM7z99tto06ZNjqtXzYWTWERERGSYHfXE0ggJCYEQAiVLlkT+/HybRKRYecwnzdW8csPR0RGlSpUCANSsWRNHjx7F/PnzMXr0aABASkoK/P39tY+/detWrldRFStWDHfv3kWzZs3wzTffoHXr1nB2djbmGRGR0pigJ1ZuM8qc+QQA1atXR/Xq1TFr1izExcVp+2m999576NixI5YsWWLMszMJnk5IRETycnCw3I2MY6FL2CvB06dP8e6778LV1RUVK1bE1atXAQCDBw/GjBkzZK6OiPTImE9CCPzzzz8IDQ2Fn58fYmNjtfe9ePEC8fHxqFevXq72NX78eFy/fh0bN25E586dOYFFZAvykk95zChT5lNmKpUKjRo1wrfffotdu3ahRIkSWL58eZ5qlYrv6ImIiMgge+qJ9dFHH+HUqVOIi4vT+SOyadOmWL16tYyVEZEhlsqnjz/+GL/++iuSkpJw5swZjB07FnFxcejWrRtUKhWGDh2KadOmYcOGDfjjjz/Qs2dPuLq6IioqKsd9p6WloX///vj7778lfheISIlM0RMrN8yZT69KTk7GrFmzULVqVdSqVQsFCxbEggULjN6PKXCdPBERERkmJH4iaIVXJ9y4cSNWr16NOnXq6PSKqFChAi5duiRjZURkkIXy6ebNm+jevTtu3LgBT09PVK5cGdu3b0dERAQAYNSoUXj27Bn69++P+/fvo3bt2ti5cyfc3d1z3Hf+/PkRHByM9PR0458HESmX1HzSjM0lc+aTxqJFi/DDDz/gwIEDKFu2LLp164aNGzciJCTE2GdmMpzEIiIiIrt3+/Zt+Pj46G1/8uSJUQ1Qici2LF68ONv7VSoVoqOjER0dLWn/n3zyCT766COsXLkS3t7ekvZBRPbJ3PkEAJMnT8b//vc/zJ8/H1WrVpW8H1PiJBYREREZpv73JmWclalVqxa2bNmCQYMGAfjvaj7ffvst6tatK2dpRGSIjeTT559/jr/++gsBAQEIDg5GwYIFde4/fvy4TJURkWRS80kzViHS0tLQq1cv9OnTB0FBQXKXo8VJLCIiMhv1xew/IbI4GZu7O5R+V7ZjSyXUAkLCcngpY+Q2ffp0NG/eHOfOnUNaWhrmz5+Ps2fP4tChQzqXqibbEeL9ptwlKEbSvc1yl2A0W8mndu3ayV0CKZCrc4jcJSjG0+dJcpdgNKn5pBmrFPnz58fcuXPRu3dvuUvRwUksIiIiMsxGVjrkRr169XDgwAHMnj0bJUuWxM6dO1G9enUcOnQIlSpVkrs8InqVjeTThAkT5C6BiEzNRlZiAUCTJk0QFxeHnj17yl2KFiexiIiIiABUqlRJtstFE5H9evDgAX766SdcunQJH374Iby9vXH8+HH4+voiMDBQ7vKIyI61aNECH330Ef744w/UqFFD75TnNm3aWLwmTmIRERGRYeLfm5RxVqZRo0Z4++230alTJ3h6espdDhHlxEby6fTp02jatCk8PT2RlJSEPn36wNvbGxs2bMCVK1ewYsUKuUskImNJzSfNWAX54IMPAABz5szRu0+lUslydVX5moMQERGRoml6Oki5WZtKlSrhk08+gZ+fHzp27IiNGzfixYsXcpdFRFmwlXwaPnw4evbsiYsXL8LZ2Vm7vUWLFti3b5+MlRGRVHnJJ6VllFqtzvImxwQWwJVYREREZmONzdx12EjPmdz4/PPPMW/ePOzatQsxMTHo0aMH8uXLh06dOqFbt24IDw+Xu0Qik7LGZu46bCSfjh49im+++UZve2BgIFJSUmSoiEh+1tjMXYcN9cTK7Pnz5zqT7XLhSiwiIiIySKil36yRg4MDIiMjsWzZMty8eRPffPMNjhw5gsaNG8tdGhG9wlbyydnZGampqXrbExISULRoURkqIqK8yks+KS2j0tPTMXnyZAQGBsLNzQ2XL18GAIwbNw6LF8tzFXJOYhERERFlkpKSgq+//hozZ87E6dOnUbNmTblLIiIb1bZtW0yaNAkvX74EkNFj5urVqxgzZgw6duwoc3VEZO+mTp2KZcuWYdasWXB0dNRur1SpEr777jtZauIkFhERERmmzsPNyqSmpmLp0qWIiIhAUFAQFi5ciNatW+PPP//Eb7/9Jnd5RPQqG8mn2bNn4/bt2/Dx8cGzZ88QHh6OUqVKwd3dHVOnTpW7PCKSIi/5pLCMWrFiBRYtWoRu3bohX7582u2VK1fGhQsXZKmJPbGIiIjIIKnL2pW2FD43fH19UahQIXTp0gXTpk1DrVq15C6JiLJhK/nk4eGB/fv3Y8+ePTh+/DjUajWqV6+Opk2byl0aEUmUl9MClZZR169fR6lSpfS2q9Vq7QpSS+MkFhERmZz6ojznyCuB1Tdzz0xA2ieCyrqwTo6EEJg/fz7efvttuLq6yl0OmVmI95tylyAbq2/mnpmN5VPjxo21/fcePHggbzEkG1fnELlLkI3VN3PPTGo+acYqSMWKFfHrr78iODhYZ/vatWtRrVo1WWriJBYREREZJETGTco4ayKEwMCBA9GoUSOULl1a7nKIKBdsJZ9mzpyJkJAQvPXWWwCALl26YN26dfDz88PWrVtRpUoVmSskImNJzSfNWCWZMGECunfvjuvXr0OtVmP9+vVISEjAihUrsHmzPB+MsCcWERER2TUHBweULl0ad+/elbsUIrIz33zzDYKCggAAsbGxiI2NxbZt29CiRQt8+OGHMldHRPaudevWWL16NbZu3QqVSoXx48fj/Pnz+OWXXxARESFLTVyJRURERAbZSs+Z3Jg1axY+/PBDLFy4EGFhYXKXQ0Q5sJV8unHjhnYSa/PmzejSpQsiIyMREhKC2rVry1wdEUlhSz2xAKBZs2Zo1qyZ3GVocRKLiIgks+feV3ZB6lVyFPgGLCdvv/02nj59iipVqsDR0REuLi4699+7d0+mykgqe+59ZRdsJJ8KFSqE5ORkBAUFYfv27ZgyZQqAjNOc09PTZa6OzMWee1/ZhbxcZVBhGZWcnAyVSoVixYoBAI4cOYKYmBhUqFAB77//viw1cRKLiIiIDLKVlQ65MW/ePLlLICIj2Eo+dejQAVFRUdpTmlu0aAEAOHnypMErghGR8tnSSqyoqCi8//776N69O1JSUtC0aVOEhYVh5cqVSElJwfjx4y1eEyexiIiIyO716NFD7hKIyA7NnTsXISEhSE5OxqxZs+Dm5gYg4zTD/v37y1wdEdm7P/74A6+99hoAYM2aNahUqRIOHDiAnTt3ol+/fpzEIiIiIuWwlat/5dalS5ewdOlSXLp0CfPnz4ePjw+2b9+OoKAgVKxYUe7yiCgTW8mnAgUKYOTIkXrbhw4davliiMgkbOnqhC9fvoSTkxMAYNeuXWjTpg0AoFy5crhx44YsNfHqhERERGSYWiX9ZmXi4+NRqVIl/Pbbb1i/fj0eP34MADh9+jQmTJggc3VEpMeG8ikhIQEDBw5EkyZN0LRpUwwcOBAJCQlyl0VEUuUlnxSWURUrVsTXX3+NX3/9FbGxsWjevDkA4O+//0bhwoVlqYkrsYiIKFfYxD1rDqXflbsEs7CVnjO5MWbMGEyZMgXDhw+Hu7u7dnujRo0wf/58GSuj3GAT96wl3dssdwlmYSv59NNPP6Fr166oWbMm6tatCwA4fPgwwsLCEBMTg86dO8tcIeUVm7hn7enzJLlLMAtb6ok1c+ZMtG/fHp9++il69OiBKlWqAAA2bdqkPc3Q0jiJRURERAYJoYIQxn8iKGWM3M6cOYOYmBi97UWLFsXdu3dlqIiIsmMr+TRq1Ch89NFHmDRpks72CRMmYPTo0ZzEIrJCUvNJM1ZJGjZsiDt37iA1NRWFChXSbn///ffh6uoqS008nZCIiIjsnpeXl8HeDidOnEBgYKAMFRGRPUhJScE777yjt/3tt99GSkqKDBUREenKly8fXr58iV9//RX79+/HrVu3EBISAh8fH1nq4SQWERERGaRZDi/lZm2ioqIwevRopKSkQKVSQa1W48CBAxg5cqTBPzCJSF62kk8NGzbEr7/+qrd9//79eOONN2SoiIjyKi/5pLSMSk1NRffu3REYGIjw8HA0aNAAgYGBePvtt/Hw4UNZauLphERERGSQEBJ7zijsyjq5MXXqVPTs2ROBgYEQQqBChQpIT09HVFQUPvnkE7nLI6JXWHM+bdq0Sfvfbdq0wejRo3Hs2DHUqVMHQEZPrLVr12LixIlylUhEeSA1nzRjleS9997DyZMnsXnzZtStWxcqlQoHDx7EkCFD0KdPH6xZs8biNXESi4iIdLCBO2nYSs+Z3ChQoAB++OEHTJ48GcePH4darUa1atVQunRpuUujTNjAnTSsOZ/atWunt+2rr77CV199pbNtwIAB6Nevn4WqorxiA3fSsKWeWFu2bMGOHTvw+uuva7c1a9YM3377rfZKhZbGSSwiIiKif5UoUQIlSpRAeno6zpw5g/v37+s0MiUiyiu1WmHnCxERZaFw4cLw9PTU2+7p6Snb+yP2xCIiIiLD1CoICTeolfUpYm4MHToUixdnrEJMT09HeHg4qlevjqCgIMTFxclbHBHps6N8IiIrIzGflJhRn3zyCYYPH65z8ZuUlBR8+OGHGDdunCw1cSUWERERGSSEtN4MSuvnkBs//fQT3n77bQDAL7/8gsuXL+PChQtYsWIFxo4diwMHDshcIRFlZkv5FB8fj9mzZ+P8+fNQqVQoX748PvzwQzZ2J7JSUvNJM1Zu1apVg0r132TaxYsXERwcjOLFiwMArl69CicnJ9y+fRt9+/a1eH2cxCIiIvbBksih9Ltyl2BW1txzxlh37tyBn58fAGDr1q3o0qULypQpg3fffReff/65zNXZN/bBkibp3ma5SzArW8mnlStXolevXujQoQMGDx4MIQQOHjyIJk2aYNmyZYiKipK7RMoG+2BJ8/R5ktwlmJW198Qy1LdPSTiJRURERAZpl7ZLGGdtfH19ce7cOfj7+2P79u3aBstPnz5Fvnz5ZK6OiF5lqXyaPn061q9fjwsXLsDFxQX16tXDzJkzUbZsWe1jevbsieXLl+uMq127Ng4fPpzj/qdOnYpZs2Zh2LBh2m1DhgzBnDlzMHnyZE5iEVkhqfmkGZtb5sqnCRMmGF+4BbEnFhEREdm9Xr16oUuXLggLC4NKpUJERAQA4LfffkO5cuVkro6I5BIfH48BAwbg8OHDiI2NRVpaGiIjI/HkyROdxzVv3hw3btzQ3rZu3Zqr/V++fBmtW7fW296mTRskJiaa5DkQkW0ydz5lduzYMaxcuRI//PADTpw4YaqnIAlXYhEREZFBttRzJifR0dEICwtDcnIyOnfuDCcnJwBAvnz5MGbMGJmrI6JXWSqftm/frvP10qVL4ePjg2PHjqFBgwba7U5OTtpTko0RFBSE3bt3o1SpUjrbd+/ejaCgIKP3R0Tys1RPLHPnEwDcunUL//vf/xAXFwcvLy8IIfDw4UM0atQIP/74I4oWLSppv3nBSSwiIiIyyFZ6zuRWp06d9Lb16NFDhkqIKCd5zafU1FSd7U5OTtrJ6+w8fPgQAODt7a2zPS4uDj4+PvDy8kJ4eDimTp0KHx+fHPc3YsQIDB48GCdPnkS9evWgUqmwf/9+LFu2DPPnz8/t0yIiBTFFTywpGWXqfAKAQYMGITU1FWfPnkX58uUBAOfOnUOPHj0wePBgrFq1Klf7MSVOYhER2Sk2czeCWq39T4eyfWQsxLLUahXUEno6SBmjBLt378bcuXO1VwgrV64chg4diqZNm8pdmt1hM3dpbL2Ze2Z5zadXVzlNmDAB0dHR2Y4VQmD48OF4/fXXERYWpt3eokULdO7cGcHBwUhMTMS4cePQuHFjHDt2LMc/Oj/44AP4+fnhs88+w5o1awAA5cuXx+rVq9G2bVujnx+ZH5u5S2Przdwzk5pPmrGA8RlljnwCMlZ77dq1SzuBBQAVKlTAl19+icjISCOfnWlwEouIiIgMsqfTCRcsWIBhw4ahU6dOGDJkCADg8OHDaNmyJebMmYOBAwfKXCERZZbXfEpOToaHh4d2e27+mBs4cCBOnz6N/fv362x/6623tP8dFhaGmjVrIjg4GFu2bEGHDh1y3G/79u3Rvn37XD4DIlI6U5xOaGxGmSuf1Go1ChQooLe9QIECUGf6kNeSOIlFREREdm/69OmYO3euzmTV4MGDUb9+fUydOpWTWEQ2xsPDQ+cPxJwMGjQImzZtwr59+1CsWLFsH+vv74/g4GBcvHgxr2USkZ0yJqPMmU+NGzfGkCFDsGrVKgQEBAAArl+/jmHDhqFJkya52oep8eqEREREZJCmp4OUm7VJTU1F8+bN9bZHRkbq9aUgIvlZKp+EEBg4cCDWr1+PPXv2IDQ0NMcxd+/eRXJyMvz9/aU+PSKyYnnJJ2MyyhL5tGDBAjx69AghISEoWbIkSpUqhdDQUDx69AhffPFFrms1JU5iERERkUGWnMS6fv063n77bRQuXBiurq6oWrUqjh07lqkWgejoaAQEBMDFxQUNGzbE2bNnTfZc27Rpgw0bNuht//nnn9G6dWuTHYeITMNS+TRgwACsXLkSMTExcHd3R0pKClJSUvDs2TMAwOPHjzFy5EgcOnQISUlJiIuLQ+vWrVGkSBGeIkhkpyw1iWWJfAoKCsLx48exZcsWDB06FIMHD8bWrVtx7NixHFd9mQtPJyQisjNs6J4Dmc7vVyK1UEEtYULK2DH3799H/fr10ahRI2zbtg0+Pj64dOkSvLy8tI+ZNWsW5syZg2XLlqFMmTKYMmUKIiIikJCQAHd3d6NrBIDPP/9c+9/ly5fH1KlTERcXh7p16wLI6Il14MABjBgxQtL+yXhs6E65Zal8WrhwIQCgYcOGOtuXLl2Knj17Il++fDhz5gxWrFiBBw8ewN/fH40aNcLq1aslZxMpExu6U25JzSfN2NyyZD5FREQgIiLCqDHmwkksIiIiktXMmTMRFBSEpUuXareFhIRo/1sIgXnz5mHs2LHaJqTLly+Hr68vYmJi0LdvX0nHnTt3rs7XhQoVwrlz53Du3DntNi8vLyxZsgSffPKJpGMQkXUTOXRndnFxwY4dOyTt++XLlyhbtiw2b96MChUqSNoHEdkvc+aTknESi4iIiAwSahWEhEtEa8a82kvKycnJ4NV1Nm3ahGbNmqFz586Ij49HYGAg+vfvjz59+gAAEhMTkZKSonMpZycnJ4SHh+PgwYOSJ7ESExMljSMi+eU1n5SgQIEC+Oeff6BSKacmIso7qfmkGUvZY08sIiIiMkhziWgpNyCjj4Knp6f2Nn36dIPHuXz5MhYuXIjSpUtjx44d6NevHwYPHowVK1YAAFJSUgAAvr6+OuN8fX2195n2eYscP90kInnlNZ+UYtCgQZg5cybS0tLkLoWITCQv+aS0jFIirsQiIiIig9SQ2HMGGWOSk5N1Lg9taBUWAKjVatSsWRPTpk0DAFSrVg1nz57FwoUL8c4772gf9+pqBSGESVcwrFixAp9++qn2stNlypTBhx9+iO7du5vsGERkGnnNJ6X47bffsHv3buzcuROVKlVCwYIFde5fv369TJURkVRS80kzVinS0tLwww8/oFmzZvDz85O7HC1OYhER2QE2c/+XxKbtDmX7mLgQ6yD1SoOaMR4eHjqTWFnx9/fX6wdTvnx5rFu3DgC0b5xSUlJ0Lgl969YtvdVZUs2ZMwfjxo3DwIEDUb9+fQghcODAAfTr1w937tzBsGHDTHIc0sdm7nmTdG+z3CXIIq/5pBReXl7o2LGj3GVQFtjMPW+ePk+SuwRZSM0nzVilyJ8/Pz744AOcP39e7lJ0cBKLiIiIZFW/fn0kJCTobPvzzz8RHBwMAAgNDYWfnx9iY2NRrVo1AMCLFy8QHx+PmTNnmqSGL774Qm/lV9u2bVGxYkVER0dzEouIzCLzBS2IiJSmdu3aOHnypPY9mRJwEouIiIgMEhIvEW3sp4jDhg1DvXr1MG3aNHTp0gVHjhzBokWLsGjRIgAZpxEOHToU06ZNQ+nSpVG6dGlMmzYNrq6uiIqKMro+Q27cuIF69erpba9Xrx5u3LhhkmMQkelYKp8sIS0tDXFxcbh06RKioqLg7u6Ov//+Gx4eHnBzc5O7PCIyktR80oxVkv79+2P48OFITk5GjRo19E55rly5ssVr4iQWERERGWSp03Vq1aqFDRs24KOPPsKkSZMQGhqKefPmoVu3btrHjBo1Cs+ePUP//v1x//591K5dGzt37oS7u7vR9RlSqlQprFmzBh9//LHO9tWrV6N06dImOQYRmY6tnE545coVNG/eHFevXsU///yDiIgIuLu7Y9asWXj+/Dm+/vpruUskIiPZyumEAPDWW28BAAYPHqzdplKptH1J09PTLV4TJ7GIiGwIe19lIrH/Ff1H/e9Nyjhjvfnmm3jzzax7I6lUKkRHRyM6OlrC3nM2ceJEvPXWW9i3bx/q168PlUqF/fv3Y/fu3VizZo1Zjmlv2PuKTMmS+WROQ4YMQc2aNXHq1CkULlxYu719+/Z47733ZKzMvrD3FZmS1HzSjFWSxMREuUvQw0ksIiIiMshWVjrkRseOHfHbb79h7ty52LhxI4QQqFChAo4cOaLtw0VEymEr+bR//34cOHAAjo6OOtuDg4Nx/fp1maoiorywpZVYSuqFpcFJLCIiIiIANWrUwMqVK+Uug4jsiFqtNng6zrVr10x2ujQRUV58//33+Prrr5GYmIhDhw4hODgY8+bNQ2hoKNq2bWvxehwsfkQiIiKyCmoBqP9tTmrcTe7KicjW2Uo+RUREYN68edqvVSoVHj9+jAkTJqBly5byFUZEkknPJ+Vl1MKFCzF8+HC0bNkSDx480E66e3l56WSXJXESi4iIiAzSLIeXciMiMidbyae5c+ciPj4eFSpUwPPnzxEVFYWQkBBcv34dM2fOlLs8IpIgL/mktIz64osv8O2332Ls2LHIly+fdnvNmjVx5swZWWri6YRERGR9LNC03aFsH7MfQ+kyPkmUNo6IzCfp3ma5S5CdreRTQEAATp48iVWrVuH48eNQq9V499130a1bN7i4uMhdHpHRnj5PkrsE2UnNJ81YJUlMTDTYG9TJyQlPnjyRoSJOYhEREREREcni6dOncHV1Re/evdG7d2+5yyEi0hEaGoqTJ0/qNXjftm0bKlSoIEtNnMQiIiIig2zl6l/G+Ouvv3Dp0iU0aNAALi4uEEJApbLe50Nkq2wln3x8fNCuXTt0794dERERcHBgtxcia2dLVyf88MMPMWDAADx//hxCCBw5cgSrVq3C9OnT8d1338lSEyexiIiIyCA1VFDD+DdTUsbI7e7du3jrrbewZ88eqFQqXLx4ESVKlMB7770HLy8vfPbZZ3KXSESZ2Eo+rVixAqtWrUL79u3h4eGBt956C2+//TZq1aold2lEJJHUfNKMVZJevXohLS0No0aNwtOnTxEVFYXAwEDMnz8f//vf/2SpiVP9REREZJAQ0m/WZtiwYcifPz+uXr0KV1dX7fa33noL27dvl7EyIjLEVvKpQ4cOWLt2LW7evInp06fj/PnzqFevHsqUKYNJkybJXR4RSZCXfFJaRgFAnz59cOXKFdy6dQspKSlITk7Gu+++K1s9XIlFRGSl1BcXy12C+VigcTvlTHO5ZynjrM3OnTuxY8cOFCtWTGd76dKlceXKFZmqsl4h3m/KXQLZOFvLJ3d3d/Tq1Qu9evXCuXPn0K1bN0ycOBHjx4+XuzSb4+ocIncJZOOk5pNmrJJMnDgRb7/9NkqWLIkiRYrIXQ4ArsQiIiIiwpMnT3RWYGncuXMHTk5OMlRERPbk+fPnWLNmDdq1a4fq1avj7t27GDlypNxlEZGdW7duHcqUKYM6depgwYIFuH37ttwlcRKLiIiIDBP/9nQw9iYU1s8hNxo0aIAVK1Zov1apVFCr1fj000/RqFEjGSsjIkNsJZ927tyJHj16wNfXF/369YOPjw927NiBq1evYubMmXKXR0QSSM0nJWbU6dOncfr0aTRu3Bhz5sxBYGAgWrZsiZiYGDx9+lSWmjiJRURERAbZUj+HnHz66af45ptv0KJFC7x48QKjRo1CWFgY9u3bxz8kiRTIVvKpXbt2ePr0KZYvX46bN29i0aJFCA8Pl7ssIsoDW+uJVbFiRUybNg2XL1/G3r17ERoaiqFDh8LPz0+WetgTi4iIiAyytZ4z2alQoQJOnz6NhQsXIl++fHjy5Ak6dOiAAQMGwN/fX+7yiOgVtpJPKSkp8PDwkLsMIjIhW+qJ9aqCBQvCxcUFjo6OePTokSw1cBKLiMiK2EwzdwU3bnco20fuEkgmfn5+mDhxotxlWC02cze/pHub5S6BTMzDwwOXLl3C0qVLcenSJcyfPx8+Pj7Yvn07goKCULFiRblLtAls5m5+T58nyV0CmUliYiJiYmLwww8/4M8//0SDBg0QHR2Nzp07y1IPJ7GIiIjIICGxN4PS+jnkxunTpw1uV6lUcHZ2RvHixdngnUhBbCWf4uPj0aJFC9SvXx/79u3D1KlT4ePjg9OnT+O7777DTz/9JHeJRGQkqfmkGaskdevWxZEjR1CpUiX06tULUVFRCAwMlLUmTmIRERGRQWqRcZMyztpUrVoVKlXGG0fxb0MKzdcAUKBAAbz11lv45ptv4OzsLEuNRPQfW8mnMWPGYMqUKRg+fDjc3d212xs1aoT58+fLWBkRSSU1nzRjlaRRo0b47rvvFLUqlI3diYiIyCBNTwcpN2uzYcMGlC5dGosWLcKpU6dw8uRJLFq0CGXLlkVMTAwWL16MPXv24JNPPpG7VCKC7eTTmTNn0L59e73tRYsWxd27d2WoiIjyKi/5pLSMmjZtGipWrIgXL14gISEBaWlpcpfElVhEREpnNX2wFNzniqSxldN1cmPq1KmYP38+mjVrpt1WuXJlFCtWDOPGjcORI0dQsGBBjBgxArNnz5axUmVhHyySi63kk5eXF27cuIHQ0FCd7SdOnJD9lB1rxz5YJBdbOp3w2bNnGDhwIJYvXw4A+PPPP1GiRAkMHjwYAQEBGDNmjMVr4kosIiIisntnzpxBcHCw3vbg4GCcOXMGQMYphzdu3LB0aURkw6KiojB69GikpKRApVJBrVbjwIEDGDlyJN555x25yyMiOzdmzBicOnUKcXFxOu0UmjZtitWrV8tSEyexiIiIyCBNTwcpN2tTrlw5zJgxAy9evNBue/nyJWbMmIFy5coBAK5fvw5fX1+5SiSiTGwln6ZOnYrixYsjMDAQjx8/RoUKFdCgQQPUq1ePpy8TWam85JPSMmrjxo1YsGABXn/9dZ1eoRUqVMClS5dkqYmnExIREZFBtnK6Tm58+eWXaNOmDYoVK4bKlStDpVLh9OnTSE9Px+bNmwEAly9fRv/+/WWulIgA28mnAgUK4IcffsCkSZNw4sQJqNVqVKtWDaVLl5a7NCKSyJZOJ7x9+zZ8fHz0tj958kRnUsuSuBKLiIiIDLKVTxFzo169ekhKSsKkSZNQuXJlhIWFYdKkSUhMTESdOnUAAN27d8eHH34oc6VEBFgun6ZPn45atWrB3d0dPj4+aNeuHRISEnQeI4RAdHQ0AgIC4OLigoYNG+Ls2bNGHadkyZLo1KkTunTpwgksIitnqZVYlsinWrVqYcuWLdqvNRNX3377LerWrZv7Yk2IK7GIiBRKEQ3d7aRZu0PZPnKXoEhSr5KjtCvr5Jabmxv69esndxlWgQ3dLSfp3ma5S1AkS+VTfHw8BgwYgFq1aiEtLQ1jx45FZGQkzp07h4IFCwIAZs2ahTlz5mDZsmUoU6YMpkyZgoiICCQkJMDd3T3b/aenp2PZsmXYvXs3bt26BfUrv3f37Nlj3BMkNnS3oKfPk+QuQZHycpVBY8aZO5+AjImy5s2b49y5c0hLS8P8+fNx9uxZHDp0CPHx8ZKeY15xEouIiIgIGVfciYuLM/iH5Pjx42WqiojktH37dp2vly5dCh8fHxw7dgwNGjSAEALz5s3D2LFj0aFDBwDA8uXL4evri5iYGPTt2zfb/Q8ZMgTLli1Dq1atEBYWJtvpOURkfcydT0DGSvUDBw5g9uzZKFmyJHbu3Inq1avj0KFDqFSpklmeV044iUVEREQGiX9vUsZZm2+//RYffPABihQpAj8/P50/JFUqFSexiBQmr/mUmpqqs93JyQlOTk45jn/48CEAwNvbGwCQmJiIlJQUREZG6uwrPDwcBw8ezPGPxB9//BFr1qxBy5YtjXgWRKRkUvNJMxaQllGmzieNSpUqYfny5bl8BubHSSwiIiIySEDacnilNSXNjSlTpmDq1KkYPXq03KUQUS7kNZ+CgoJ0tk+YMAHR0dHZjxUCw4cPx+uvv46wsDAAQEpKCgDoXbnU19cXV65cybEeR0dHlCpVKrflE5EVkJpPmrGA8RlljnzSUKvV+OuvvwyuVG/QoEGu92MqnMQiIiIig9T/3qSMszb3799H586d5S6DiHIpr/mUnJwMDw8P7fbcrMIaOHAgTp8+jf379+vd9+ppgEKIXJ0aOGLECMyfPx8LFizgqYRENkJqPmnGAsZnlDnyCQAOHz6MqKgoXLlyBULori9TqVRIT0/P1X5MiZNYREQKYrZm7nbSoJ1Iqs6dO2Pnzp1s7J4NNnMnW+Lh4aHzB2JOBg0ahE2bNmHfvn0oVqyYdrufnx+AjBUP/v7+2u23bt3SW/1gyP79+7F3715s27YNFStWRIECBXTuX79+fa5rtGds5k62xpiMMlc+AUC/fv1Qs2ZNbNmyBf7+/oqYbOckFhERERkkhApCyuk6Vnh1wlKlSmHcuHE4fPgwKlWqpPeH5ODBg2WqjIgMsVQ+CSEwaNAgbNiwAXFxcQgNDdW5PzQ0FH5+foiNjUW1atUAAC9evEB8fDxmzpyZ4/69vLzQvn17o2oiImWTmk+asbl/rHnzCQAuXryIn376SVGnPXMSi4iIiAyyp9MJFy1aBDc3N8THx+tdMlqlUnESi0hhLJVPAwYMQExMDH7++We4u7tre8x4enrCxcUFKpUKQ4cOxbRp01C6dGmULl0a06ZNg6urK6KionLc/9KlSyU8CyJSMlOcTpgb5s4nAKhduzb++usvTmIRERGR8qlFxk3KOGuTmJgodwlEZARL5dPChQsBAA0bNtTZvnTpUvTs2RMAMGrUKDx79gz9+/fH/fv3Ubt2bezcuRPu7u7GF0hEVk9qPmnG5pYl8mnQoEEYMWIEUlJSDK5Ur1y5cu4LNhFOYhEREZFBAipJVxq0xqsTEpF1sVQ+vdrI2BCVSoXo6Ogcr25IRPZBaj5pxub6sRbIp44dOwIAevfurbNPTXN4NnYnIrJDRjVzZ4N2IrO5du0aNm3ahKtXr+LFixc6982ZM0emquTFZu5EpFRs5k5kfkpcqc5JLCIiIjLInk4n3L17N9q0aYPQ0FAkJCQgLCwMSUlJEEKgevXqcpdHRK+wp3wiIutiqdMJLSE4OFjuEvQ4yF0AERERKZNmObyUm7X56KOPMGLECPzxxx9wdnbGunXrkJycjPDwcHTu3Fnu8ojoFbaYT8+fP5e7BCIygbzkk5IzSik4iUVEREQGaT5JlHKzNufPn0ePHj0AAPnz58ezZ8/g5uaGSZMm5foy1ERkObaST2q1GpMnT0ZgYCDc3Nxw+fJlAMC4ceOweLER7QaISDHykk9Kyygl4umEREQyUCd8K3cJZCfUCd9C/fiZ3GUoXsGCBfHPP/8AAAICAnDp0iVUrFgRAHDnzh05S7M49sEiSwnxfhNq8VLuMmQ1ZcoULF++HLNmzUKfPn202ytVqoS5c+fi3XfflbE65WEfLLIUV+cQCMFetErESSwiIiIyyJ56ztSpUwcHDhxAhQoV0KpVK4wYMQJnzpzB+vXrUadOHbnLI6JX2Eo+rVixAosWLUKTJk3Qr18/7fbKlSvjwoULMlZGRFLZUk8sJeIkFhERERlkqUvYK8GcOXPw+PFjAEB0dDQeP36M1atXo1SpUpg7d67M1RHRq2wln65fv45SpUrpbVer1Xj50r5XqRFZq7z0tlJaRgHAgwcP8NNPP+HSpUv48MMP4e3tjePHj8PX1xeBgYEWr4eTWERERGSQkPhJorCyTxHT09ORnJyMypUrAwBcXV3x1VdfyVwVEWXHVvKpYsWK+PXXX/WuALZ27VpUq1ZNpqqIKC+k5pNmrJKcPn0aTZs2haenJ5KSktCnTx94e3tjw4YNuHLlClasWGHxmjiJRURERAap/71JGWdN8uXLh2bNmuH8+fMoVKiQ3OUQUS7YSj5NmDAB3bt3x/Xr16FWq7F+/XokJCRgxYoV2Lx5s9zlEZEEUvNJM1ZJhg8fjp49e2LWrFlwd3fXbm/RogWioqJkqYmTWEREFsJm7mQpfK0Zr1KlSrh8+TJCQ0PlLkUWbOZOlsLXmq7WrVtj9erVmDZtGlQqFcaPH4/q1avjl19+QUREhNzlKQKbuZOl8LWm7+jRo/jmm2/0tgcGBiIlJUWGijiJRURERFkQQgUhJPSckTBGblOnTsXIkSMxefJk1KhRAwULFtS538PDQ6bKiMgQW8qnZs2aoVmzZnKXQUQmIjWfNGOVxNnZGampqXrbExISULRoURkq4iQWERERZcFWTtfJjebNmwMA2rRpA5XqvzeQQgioVCqkp6fLVRoRGWBP+URE1sWWTids27YtJk2ahDVr1gAAVCoVrl69ijFjxqBjx46y1MRJLCIiIjLIVi5hnxt79+6VuwQiMoI151OhQoV0Jsuzc+/ePTNXQ0SmJjWfNGOVZPbs2WjZsiV8fHzw7NkzhIeHIyUlBXXr1sXUqVNlqYmTWERERGSQ+PcmZZy1CQ8Pl7sEIjKCNefTvHnztP999+5dTJkyBc2aNUPdunUBAIcOHcKOHTswbtw4mSokoryQmk+asUri4eGB/fv3Y8+ePTh+/DjUajWqV6+Opk2bylYTJ7GIiMyMTbbJUvhaI2OxyTZZCl9r/+nRo4f2vzt27IhJkyZh4MCB2m2DBw/GggULsGvXLgwbNkyOEhWBTbbJUvhay1njxo3RuHFjucsAwEksIiIiykLGcnjjG4wqbSk8EdkeW8mnHTt2YObMmXrbmzVrhjFjxshQERHlldR80oyV2+eff57rxw4ePNiMlRjGSSwiIiIyyJpP1yEi22Yr+VS4cGFs2LABH374oc72jRs3onDhwjJVRUR5Ye2nE86dO1fn69u3b+Pp06fw8vICADx48ACurq7w8fHhJBYREREphzU3TiYi22Yr+TRx4kS8++67iIuL0/bEOnz4MLZv347vvvtO5uqISAprb+yemJio/e+YmBh89dVXWLx4McqWLQsASEhIQJ8+fdC3b19Z6nOQ5ahERERERER2rmfPnjh48CC8vLywfv16rFu3Dp6enjhw4AB69uwpd3lEZOfGjRuHL774QjuBBQBly5bF3Llz8cknn8hSE1diERGZARtsK59D2T5yl2AS5nytqf+9SRlnDapVq5bry9wfP37czNVYDhtsK1/Svc1yl2AS5nyt2VI+1a5dGz/88IPcZSgCG2wr39PnSXKXYBLmfK1JzSfNWCW5ceMGXr58qbc9PT0dN2/elKEiTmIRERFRFoTIuEkZZw3atWsndwlEJJE151Nqaio8PDy0/50dzeOIyHpIzSfNWCVp0qQJ+vTpg8WLF6NGjRpQqVT4/fff0bdvXzRt2lSWmjiJRURERAYJqKCG8VfXERLGZDZ9+nR8/PHHGDJkCObNm5exTyEwceJELFq0CPfv30ft2rXx5ZdfomLFipKPM2HChDzVSUTykSufTKFQoUK4ceMGfHx84OXlZXBFqBACKpUK6enpMlRIRHkhNZ80Y5VkyZIl6NGjB1577TUUKFAAAJCWloZmzZrJ1rePk1hERERkkBwrHY4ePYpFixahcuXKOttnzZqFOXPmYNmyZShTpgymTJmCiIgIJCQkwN3dXfoBicgqWfNKrD179sDb2xsAsHfvXpmrISJTs6WVWEWLFsXWrVvx559/4sKFCxBCoHz58ihTpoxsNXESi4jIRNgHiyhvHj9+jG7duuHbb7/FlClTtNuFEJg3bx7Gjh2LDh06AACWL18OX19fxMTEmOTqOOnp6Zg7dy7WrFmDq1ev4sWLFzr337t3L8/HkBP7YBEpR3h4uPa/Q0NDERQUpLcaSwiB5ORkS5cmC/bBIlK+MmXKyDpxlRknsYiIiMggSzdOHjBgAFq1aoWmTZvqTGIlJiYiJSUFkZGR2m1OTk4IDw/HwYMHTTKJNXHiRHz33XcYPnw4xo0bh7FjxyIpKQkbN27E+PHj87x/IjItW2nsHhoaqj21MLN79+4hNDSUpxMSWSFrb+w+fPhwTJ48GQULFsTw4cOzfeycOXMsVNV/OIlFREREBqlFxk3KOEC/YbGTkxOcnJwMjvnxxx9x/PhxHD16VO++lJQUAICvr6/Odl9fX1y5csX4Ag344Ycf8O2336JVq1aYOHEiunbtipIlS6Jy5co4fPgwBg8ebJLjEJFp5DWflELT++pVjx8/hrOzswwVEVFeSc0nzVi5nThxQntFwhMnTshcjT5OYhEREZFB4t+blHEAEBQUpLN9woQJiI6O1nt8cnIyhgwZgp07d2b7R5uh020M/fEnRUpKCipVqgQAcHNzw8OHDwEAb775JsaNG2eSYxCR6eQ1n+SmWd2gUqkwbtw4uLq6au9LT0/Hb7/9hqpVq8pUHRHlhdR80oyVW+ZefUrs28dJLCIiIjIorysdkpOTdS4Pn9UqrGPHjuHWrVuoUaOGdlt6ejr27duHBQsWICEhAUDGRJO/v7/2Mbdu3dJbnSVVsWLFcOPGDRQvXhylSpXCzp07Ub16dRw9ejTLuolIPta+EkuzukEIgTNnzsDR0VF7n6OjI6pUqYKRI0fKVR4R5YG1r8TKrHfv3pg/f77eRXSePHmCQYMGYcmSJRaviZNYREQSsIk7yclaXn8eHh46k1hZadKkCc6cOaOzrVevXihXrhxGjx6NEiVKwM/PD7GxsahWrRoA4MWLF4iPj8fMmTNNUmv79u2xe/du1K5dG0OGDEHXrl2xePFiXL16FcOGDTPJMSyFTdxJTnz95Y5mdUOvXr0wf/78XGWlLWATd5ITX3/GW758OWbMmKE3ifXs2TOsWLFClkksB4sfkYiIiKyC5hLRUm7GcHd3R1hYmM6tYMGCKFy4MMLCwqBSqTB06FBMmzYNGzZswB9//IGePXvC1dUVUVFRJnmuM2bMwMcffwwA6NSpE3799Vd88MEHWLt2LWbMmGGSYxCR6VgqnwBg3759aN26NQICAqBSqbBx40ad+3v27AmVSqVzq1OnTq72vXTpUruZwCKyF3nJJ2Mzylz5lJqaiocPH0IIgUePHiE1NVV7u3//PrZu3ap3QQpL4UosIiIiMkhJV/8aNWoUnj17hv79++P+/fuoXbs2du7cqffJoKnUqVMn13+EEpHlWTKfnjx5gipVqqBXr17o2LGjwcc0b94cS5cu1X6d+fRAIrIvlrw6obnyycvLSzvpVaZMGb37VSoVJk6caGS1psFJLCIiIjJIzp4zcXFxOl+rVCpER0cbbAwv1aZNm3L92DZt2pjsuESUd5bMpxYtWqBFixbZPsbJyQl+fn7G75yIbI4le2KZK5/27t0LIQQaN26MdevWwdvbW3ufo6MjgoODERAQYFyxJsJJLCIiIrJL7dq10/lapVJBvLKOX3P1w/T0dEuVRURWKC4uDj4+PvDy8kJ4eDimTp0q26k2RESZScmn8PBwAEBiYiKKFy9usqtBmwInsYiIcslammmTbZLj9Wftl7DPiVr936L9Xbt2YfTo0Zg2bRrq1q0LlUqFgwcP4pNPPsG0adNkrDJ32Eyb5CTH6y+v+ZSamqqz3cnJSfKVSFu0aIHOnTsjODgYiYmJGDduHBo3boxjx47x6qZgM22SlxyvP6n5pBkLmC6j8ppPwcHBRh/T3DiJRURERAZZ+yXsjTF06FB8/fXXeP3117XbmjVrBldXV7z//vs4f/68jNUR0avymk9BQUE62ydMmCD5dOW33npL+99hYWGoWbMmgoODsWXLFnTo0CHH8X/++Sfi4uJw69Ytncl1ABg/frykmohIPqY4ndBUGZXXfFIiTmIRERGRQQIqCBi/fFzKGLldunQJnp6eets9PT2RlJRk+YKIKFt5zafk5GSdqwKacsWUv78/goODcfHixRwf++233+KDDz5AkSJF4Ofnp3PKjkql4iQWkRWSmk+asYD5MsqYfFIqTmIRERGRQQLSPkm0woVYqFWrFoYOHYqVK1fC398fAJCSkoIRI0bgtddek7k6InpVXvPJw8ND5w9EU7p79y6Sk5O1WZKdKVOmYOrUqRg9erRZaiEiy5OaT5qxgPkyyph8UioHuQsgIiIiktuSJUtw69YtBAcHo1SpUihVqhSKFy+OGzduYPHixXKXR0Qyevz4MU6ePImTJ08CyGh0fPLkSVy9ehWPHz/GyJEjcejQISQlJSEuLg6tW7dGkSJF0L59+xz3ff/+fXTu3NnMz4CIbJU58wnIWC2qtFVbXIlFRJQNNnO3XZn/bR3K9pGxkuzJ+Rq0p55YpUqVwunTpxEbG4sLFy5ACIEKFSqgadOmiroiT2Zs5m67Mv/bJt3bLGMl2ZPzNWjJfPr999/RqFEj7dfDhw8HAPTo0QMLFy7EmTNnsGLFCjx48AD+/v5o1KgRVq9eDXd39xz33blzZ+zcuRP9+vUzvjAFYzN325X53/bp8yTZ6siJnK9BU/TEyi1z5hMAfPbZZ+jXrx98fX0RHh6Ohg0bIjw8HOXKlTOuUBPiJBYREREZZOtXJ3yVSqVCZGQkIiMj5S6FiHJgyXxq2LAhhMh65I4dO4za3+eff67971KlSmHcuHE4fPgwKlWqhAIFCug8dvDgwcYVS0SyM8XVCXPL1Pn0qgsXLiAlJQV79+5FfHw85s6di/79+6No0aJo2LAhfvzxxzztXwpOYhEREZFBtr4S6/PPP8f7778PZ2dnnT8qDeEfkkTKYs35NHfuXJ2v3dzcEB8fj/j4eJ3tKpWK2UNkhSy5EssS/Pz80LVrV7Rp0wb79+/Hjz/+iJUrV+Knn36SpR5OYhEREZFdmjt3Lrp16wZnZ2e9Pyoz4x+SRGRKiYmJcpdARJQr27ZtQ3x8POLi4nDq1ClUrFgRDRo0wLp16/DGG2/IUhMnsYiIXsE+WGQq1v5aEv/+T8o4a5D5D0lr+aOSfbDIVKz9tWTr+WSN2AeLTMXaX0tS80kzVklatWqFokWLYsSIEdixYwc8PT3lLomTWERERGSYNZ+uY6xJkyZh5MiRcHV11dn+7NkzfPrppxg/frxMlRGRIbaST5omzK9SqVRwdnZGqVKl0LZtW3h7e1u4MiKSypZOJ5wzZw727duHTz/9FHPmzNE2d2/YsCHKly8vS02cxCIiIiKD7Kmx+8SJE9GvXz+9SaynT59i4sSJnMQiUhhbyacTJ07g+PHjSE9PR9myZSGEwMWLF5EvXz6UK1cOX331FUaMGIH9+/ejQoUKcpdLRLlgycbu5jZ06FAMHToUAHDmzBnEx8dj165dGDJkCAoXLowbN25YvCYHix+RiIiIrILmk0QpN2sjhIBKpdLbfurUKa6AIFIgW8mntm3bomnTpvj7779x7NgxHD9+HNevX0dERAS6du2K69evo0GDBhg2bJjcpRJRLuUln5SWURonTpzArl27sHPnTuzZswdqtRrFihWTpRauxCIiIiK7VahQIahUKqhUKpQpU0ZnIis9PR2PHz9Gv379ZKyQiGzZp59+itjYWHh4eGi3eXh4IDo6GpGRkRgyZAjGjx+PyMhIGaskInuluSJhamoqqlatioYNG+L9999HgwYNdHLLkjiJRUT0L2tvwk3SZf63dyjbx2T7zWlfSn/NCZFxkzLOWsybNw9CCPTu3RsTJ07UaVjq6OiIkJAQ1K1bV8YKM1h7E26SLvO/fdK9zSbbb077Uvprzlby6eHDh7h165beqYK3b99GamoqAMDLywsvXryQo7xcsfYm3CRd5n/7p8+TTLbfnPal9Nec1HzSjFWSMmXKyD5p9SpOYhEREZFB6n9vUsZZix49egAAQkNDUb9+feTPz7dGRNbAVvKpbdu26N27Nz777DPUqlULKpUKR44cwciRI9GuXTsAwJEjR1CmTBl5CyWiXJOaT5qxSjJ79my5S9DDd2pERERkkK1c/Ss3wsPD5S6BiIxgK/n0zTffYNiwYfjf//6HtLQ0AED+/PnRo0cPzJ07FwBQrlw5fPfdd3KWSURGsKWrEwJAfHw8Zs+ejfPnz0OlUqF8+fL48MMP8cYbb8hSDxu7ExERkWHivyXxxtwUd2kdIrI9NpJPbm5u+Pbbb3H37l3tlQrv3r2LRYsWoWDBggCAqlWromrVqvIWSkS5JzGflJhRK1euRNOmTeHq6orBgwdj4MCBcHFxQZMmTRATEyNLTVyJRUREREREJCM3NzdUrlxZ7jKIiHRMnToVs2bN0rlC6pAhQzBnzhxMnjwZUVFRFq+Jk1hERESZGGq2bspm71ntV4lN3m2l50xWTp8+jbCwMDg4cGE6WQdDzdZN2ew9q/0qscm7NedThw4dsGzZMnh4eKBDhw7ZPnb9+vUWqooobww1Wzdls/es9qvEJu+21BPr8uXLaN26td72Nm3a4OOPP5ahIk5iERERURZs5epfWalWrRpu3LgBHx8flChRAkePHkXhwoXlLouIcsGa88nT0xMqlUr730RkW2zp6oRBQUHYvXs3SpUqpbN99+7dCAoKkqUmTmIRERGRQda80iE3vLy8kJiYCB8fHyQlJUGttpbKicia82np0qUG/5uIbIMtrcQaMWIEBg8ejJMnT6JevXpQqVTYv38/li1bhvnz58tSEyexiIiIyC517NgR4eHh8Pf3h0qlQs2aNZEvXz6Dj718+bKFqyMiIiKS1wcffAA/Pz989tlnWLNmDQCgfPnyWL16Ndq2bStLTZzEIiK7psQ+RKQ8mV8npuyPpfTXnxACQsK6dilj5LBo0SJ06NABf/31FwYPHow+ffrA3d1d7rK0lNiHiJQn8+vElP2xlP76s5V8unnzJkaOHIndu3fj1q1bevWlp6fLVFn2lNiHiJQn8+vElP2xlP76k5pPmrFK0759e7Rv317uMrQ4iUVEREQGqUXGTco4a9G8eXMAwLFjxzBkyBBFTWIRUdZsJZ969uyJq1evYty4cdpVoURk3aTmk2YsZY+TWERERGSQ+PcmZZy1ydyX5tq1a1CpVAgMDJSxIiLKjq3k0/79+/Hrr7+iatWqcpdCRCYiNZ80Y+VWqFChXE+o37t3z8zV6OMkFhERERlkKysdckOtVmPKlCn47LPP8PjxYwCAu7s7RowYgbFjx8LBwUHmCokoM1vJp6CgIEWePkRE0ln7Sqx58+bJXUK2OIlFREREdm/s2LFYvHgxZsyYgfr160MIgQMHDiA6OhrPnz/H1KlT5S6RiGzQvHnzMGbMGHzzzTcICQmRuxwiIvTo0UPuErLFSSwiskvqi8ugdnORuwyyQoaasRvb7F3pDd01bGWlQ24sX74c3333Hdq0aaPdVqVKFQQGBqJ///4WncQKC+4MB1UBix2PbIehZuzGNntXekN3DWvOp1dP1Xny5AlKliwJV1dXFCig+7Mvx6k62fEtGgaViitTyXiGmrEb2+xd6Q3dNax9JZbScRKLiIiIDMro6SDh6l+mL8Xs7t27h3LlyultL1eunOL+iCQi684npZ+qQ0R5IzWfNGMpe5zEIiIiIoOseaWDsapUqYIFCxbg888/19m+YMECVKlSRaaqiCgr1pxPSj9Vh4jyhiuxzIuTWERERGSQEBk3KeOszaxZs9CqVSvs2rULdevWhUqlwsGDB5GcnIytW7fKXR4RvcKe8omIrIvUfNKMldvp06cRFham2IvaKLMqIiIiIgsKDw/Hn3/+ifbt2+PBgwe4d+8eOnTogISEBLzxxhtyl0dERERkEdWqVcOdO3cAACVKlMDdu3dlrkgXV2IRERHlkbU0ajeWgIBaUs8ZBXyMKEFAQACvQkg2x1oatRvL3vKJyBZZS6N2Y0nNJ81YuXl5eSExMRE+Pj5ISkqCWq2WuyQdnMQiIiIig3i6DhEplTXnk9JP1SGivLH20wk7duyI8PBw+Pv7Q6VSoWbNmsiXL5/Bx16+fNnC1XESi4iIiLKg/vcmZRwRkTlZcz5Vq1YNN27cgI+PD0qUKIGjR4+icOHCcpdFRCYiNZ80Y+W2aNEidOjQAX/99RcGDx6MPn36wN3dXe6ytDiJRUREREREZCFKP1WHiKh58+YAgGPHjmHIkCGKmsTiGlYiIiIySAgh+UZEZE6WzKd9+/ahdevWCAgIgEqlwsaNG/VqiY6ORkBAAFxcXNCwYUOcPXs2y/1pTtUJDQ3VnqpTokQJgzcisj55ySdjM8rU+fSqpUuXaiewrl27huvXrxtVnzlwJRYREREZpBYZNynjrNmdO3fw22+/IT09HbVq1YK/v7/cJRHRKyyZT0+ePEGVKlXQq1cvdOzYUe/+WbNmYc6cOVi2bBnKlCmDKVOmICIiAgkJCQZXLyj9VB0iyhup+aQZawxT55NePWo1pkyZgs8++wyPHz8GALi7u2PEiBEYO3asLL39OIlFREREBqklXl1H6hV5lGDdunV49913UaZMGbx8+RIJCQn48ssv0atXL7lLI6JMLJlPLVq0QIsWLQzeJ4TAvHnzMHbsWHTo0AEAsHz5cvj6+iImJgZ9+/Y1OE7Jp+oQUd5IzSfNWGOYI58yGzt2LBYvXowZM2agfv36EELgwIEDiI6OxvPnz2W5qjNPJyQiIiKDBP67wo5RN7kLN4LmU0WNiRMn4siRIzhy5AhOnDiBtWvXYuzYsTJVR0RZUUo+JSYmIiUlBZGRkdptTk5OCA8Px8GDB3Mcr8RTdYgobyTnk4kzKq/5BGRMen333Xf44IMPULlyZVSpUgX9+/fHt99+i2XLlpmw2tzjJBYRERHZrRo1auDnn3/Wfp0/f37cunVL+/XNmzfh6OgoR2lEZEapqak6t3/++UfSflJSUgAAvr6+Ott9fX2192VHrVZj0qRJ8PT0RHBwMIoXLw4vLy9MnjyZDd+J7JgpMiqv+QQA9+7dQ7ly5fS2lytXDvfu3TO6JlPgJBYREREZpFkOL+VmLXbs2IFvvvkG7du3x99//4358+fjrbfegp+fH4oUKYIxY8bgq6++krtMInpFXvMpKCgInp6e2tv06dPzVI9KpdL5Wgiht82QsWPHYsGCBZgxYwZOnDiB48ePY9q0afjiiy8wbty4PNVERPLISz6ZI6Ok5hMAVKlSBQsWLNDbvmDBAlSpUkVyTXnBnlhERERkkNRl7dZ0ccKQkBBs3boVMTExCA8Px5AhQ/DXX3/hr7/+Qnp6OsqVKwdnZ2e5yySiV+Q1n5KTk+Hh4aHd7uTkJKkOPz8/ABkrHjJfBOLWrVt6qx8M0Zyq06ZNG+22KlWqIDAwEP3795el3wwR5U1eTgs0ZUblNZ+AjMbwrVq1wq5du1C3bl2oVCocPHgQycnJ2Lp1q9E1mQJXYhEREZFB9rASSyMqKkrbB6thw4ZQq9WoWrUqJ7CIFCqv+eTh4aFzkzqJFRoaCj8/P8TGxmq3vXjxAvHx8ahXr16O45V4qg4R5Y0pVmKZIqPymk8AEB4ejj///BPt27fHgwcPcO/ePXTo0AEJCQl44403jK7JFLgSi4iIiOzatm3bcO7cOVSpUgWLFy9GXFwcoqKi0LJlS0yaNAkuLi5yl0hEMnr8+DH++usv7deJiYk4efIkvL29Ubx4cQwdOhTTpk1D6dKlUbp0aUybNg2urq6IiorKcd+aU3U+//xzne1ynqpDRNbDnPmkERAQoKhVoZzEIiIiIoPUQuIl7K3ofMJRo0Zh+fLlaNSoEb766iv07NkT48aNw4kTJzBp0iRUrVoV8+bNy/Ly1UQkD0vm0++//45GjRppvx4+fDgAoEePHli2bBlGjRqFZ8+eoX///rh//z5q166NnTt3aq86mB0lnqpDRHkjNZ80Y41hznxSKk5iERERkUHi3/9JGWctlixZgh07dqBGjRq4d+8e6tSpg3HjxsHR0RFTpkxB165d0bdvX05iESmMJfOpYcOGENn8YalSqRAdHY3o6Gij9605VefLL7/EhQsXIIRAhw4d0L9/fwQEBBi9PyKSn9R80ow1hjnzSak4iUVEREQGCQBSLvBuPVNYgKurKxITE1GjRg0kJyfr9cCqWLEi9u/fL1N1RJQVW8onpZ2qQ0R5IzWfNGMpe5zEIiIiIoOkNmm3psbu06dPxzvvvIPBgwfj6dOnWL58udwlEVEu2EM+EZF1ystFbphROeMkFhEREdmtbt26oXnz5rh8+TJKly4NLy8vuUsiIiIiUpw7d+7gt99+Q3p6OmrVqgV/f39Z6uAkFhERERkkhMSeM1bU2B0AChcujMKFC8tdBhEZwV7yiYisj9R80oxVonXr1uHdd99FmTJl8PLlSyQkJODLL79Er169LF4LJ7GIiIjIIJ6uQ0RKxXwiIqWyhdMJHz9+DDc3N+3XEydOxJEjR1CmTBkAwJYtW9CnTx9ZJrEcLH5EIiIisgqaN2FSbkRE5mSL+XTnzh1s2bIFmzZtwo0bN+Quh4gkyks+KSWjatSogZ9//ln7df78+XHr1i3t1zdv3oSjo6McpXESi4iIiAzLy1swY0yfPh21atWCu7s7fHx80K5dOyQkJOjWIgSio6MREBAAFxcXNGzYEGfPnjXl0yUiK2KpfLKUdevWoVSpUpg4cSImTJiAkiVLYunSpXKXRUQS5G0KSxkZtWPHDnzzzTdo3749/v77b8yfPx9vvfUW/Pz8UKRIEYwZMwZfffWVLLVxEouIiIi1IlDlAABwOklEQVRkFR8fjwEDBuDw4cOIjY1FWloaIiMj8eTJE+1jZs2ahTlz5mDBggU4evQo/Pz8EBERgUePHslYORGRNI8fP9b5WnOqzpEjR3DixAmsXbsWY8eOlak6IrJ3ISEh2Lp1Kzp37ozw8HCcOnUKf/31F2JjY7Fr1y5cvXoVLVu2lKU2TmIRERGRQZZaCr99+3b07NkTFStWRJUqVbB06VJcvXoVx44dA5CxCmvevHkYO3YsOnTogLCwMCxfvhxPnz5FTEyMOZ46ESkcT9UhIqWyhdMJNaKiorST6w0bNoRarUbVqlXh7OwsW01s7E5EREQGSX0zpRmTmpqqs93JyQlOTk45jn/48CEAwNvbGwCQmJiIlJQUREZG6uwrPDwcBw8eRN++fY2ukYisW17zSW47duxA//79sWzZMnz55ZfaU3XS09ORlpYGBwcHLFu2TO4yiUiCvExGKSWjAGDbtm04d+4cqlSpgsWLFyMuLg5RUVFo2bIlJk2aBBcXF1nq4kosIiIiMkidh/8BQFBQEDw9PbW36dOn53hMIQSGDx+O119/HWFhYQCAlJQUAICvr6/OY319fbX3EZF9yWs+yU3Jp+oQUd7kJZ+UklGjRo1Cz549cfToUfTt2xeTJ09Gw4YNceLECTg5OaFq1arYtm2bLLVxEouIiIjMIjk5GQ8fPtTePvrooxzHDBw4EKdPn8aqVav07lOpVDpfCyH0thERWRMlnqpDRLRkyRJs3boVP/74I44ePYrvv/8eAODo6IgpU6Zg/fr1mDp1qiy18XRCIiIiMkioBITK+E8Exb9L4T08PODh4ZHrcYMGDcKmTZuwb98+FCtWTLvdz88PQMaKLH9/f+32W7du6a3OIiL7kNd8UgKlnqpDRHkjNZ8A5WSUq6srEhMTUaNGDSQnJ+tNrFesWBH79++XpTZOYhERESmMQ9k+pt1faiqAIUaPExJ7Ohj7BkwIgUGDBmHDhg2Ii4tDaGiozv2hoaHw8/NDbGwsqlWrBgB48eIF4uPjMXPmTKPrIyLpku5tNun+UlNT4enpafQ4S+WTuYwaNQrLly9Ho0aN8NVXX6Fnz54YN24cTpw4gUmTJqFq1aqYN28eWrRoIXepRFbj6fMkk+7P0vmkGasE06dPxzvvvIPBgwfj6dOnWL58udwlaXESi4iIiAxSQw2VhN4MxvZzGDBgAGJiYvDzzz/D3d1d2+fK09MTLi4uUKlUGDp0KKZNm4bSpUujdOnSmDZtGlxdXREVFWV0fURk/SyVT+ayZMkS7NixAzVq1MC9e/dQp04djBs3TnuqTteuXdG3b19OYhFZIan5pBmrBN26dUPz5s1x+fJllC5dGl5eXnKXpMVJLCIiIjJIc7FnKeOMsXDhQgBAw4YNdbYvXboUPXv2BJCxauHZs2fo378/7t+/j9q1a2Pnzp1wd3c3uj4isn6WyidzUfKpOkSUN1LzSTNWKQoXLozChQvLXYYeTmIRERGRrITIeem8SqVCdHQ0oqOjzV8QEZGZKflUHSIiJeMkFhERERmkVqmhktCYVClL4YnIdll7Pin5VB0iyhup+QQoJ6OUjJNYREREZmLqBu2WZu09Z4goa6Zu0G5ptpBPSj1Vh0hupm7Qbmm20BNLyTiJRURERAbZwh+JRGSbmE9EpFScxDIvB7kLICIiIiIiIiIiyglXYhEREZFB1n71LyKyXcwnIlIqW7k6oVJxEouIiIgMUiMdKqRLGkdEZE7MJyJSKqn5pBlL2eMkFhERkQlZezP3zASExJUOwgzVEFFeWXsz98yYT0S2xdqbuWcmNZ80Yyl7nMQiIiIig6z9EvZEZLuYT0SkVFLzCWBG5QYbuxMRERERERERkeJxJRYREREZlNHTwfjPu9jPgYjMjflEREolNZ80Yyl7nMQiIiKiLEi9ug6XwhORuTGfiEippF+dkBmVM05iERER5VHmZu7qhG8NbrdGapEOKZ0HMsYRkRJkbuYe4v2mwe3WiPlEZP0yN3N3dQ4xuN0aSc2n/8ZSdjiJRURERAYJiZ8kSv/0kYgod5hPRKRUUvNJM5ayx8buREREREREBkRHR0OlUunc/Pz85C6LiMhu84krsYiIiMgggXQICZ93CTYlJSIzs2Q+VaxYEbt27dJ+nS9fPqP3QUT2Q2o+acYawx7ziZNYREREeZS5D5YtUUMNKQ1G1VwKT6QYmftg2RJL5lP+/PntYnUDkaVl7oNlS6Tm039jc88e84mnExIREZFBAkLb18G4m5C7dCKycZbMp4sXLyIgIAChoaH43//+h8uXL5vhGRGRrZCeT8ZnlD3mE1diERERERGRXUlNTdX52snJCU5OTnqPq127NlasWIEyZcrg5s2bmDJlCurVq4ezZ8+icOHCliqXiOxMbjLKXvOJK7GIiIjIICHSJd+IiMwpr/kUFBQET09P7W369OkGj9OiRQt07NgRlSpVQtOmTbFlyxYAwPLlyy32XInIuuQln4zJKHvNJ67EIiIiIoPYE4uIlCqv+ZScnAwPDw/tdkOrsAwpWLAgKlWqhIsXLxp9bCKyD6boiSUlo+wlnziJRURElIlD2T7Z3m+rTdwNybi6jkrSOCIyvaR7m7O931abuBuS13zy8PDQ+QMxt/755x+cP38eb7zxhtFjiWzZ0+dJ2d5vq03cDZGaT5qxgLSMspd84iQWERERGSRERpNRKeOIiMzJUvk0cuRItG7dGsWLF8etW7cwZcoUpKamokePHkYfm4jsg9R80ozNLXvNJ05iERERERERGXDt2jV07doVd+7cQdGiRVGnTh0cPnwYwcHBcpdGRHbOXvOJk1hERERkEHtiEZFSWSqffvzxR6OPQUT2zRQ9sXLDXvOJk1hERERkkBASe87w6oREZGbMJyJSKqn5pBlL2eMkFhERUSaaxu05NXg3Zl+vMsW+LUFASOs5A2GGaohI07g9pwbvxuzrVabYtyUwn4iURdO4PacG78bs61Wm2LclSM0nzVjKHiexiIiIyKCMxqRSVjrwdEIiMi/mExEpldR80oyl7DnIXQAREREREREREVFOuBKLiIiIspAucVE7+zkQkbkxn4hIqaTmU8ZYyh4nsYiIiMigjCXtPF2HiJSH+URESiU1n/4bS9nhJBYREZEBWTVltyf8I5FImbJqym5PmE9EypRVU3Z7wkks82JPLCIiIiIiIiIiUjyuxCIiIiKD1FBDJWWlg8TLShMR5RbziYiUSmo+Acyo3OAkFhERERnE03WISKmYT0SkVDyd0Lw4iUVEREQGCSHtCjlSxxER5RbziYiUKi85w4zKGSexiIiIyCABAUhY1i7ycGFpIqLcYD4RkVJJzaf/xlJ22NidiIiIiIiIiIgUjyuxiIiIyCCpfRnYz4GIzI35RERKlZecYUbljJNYREREZBD/SCQipWI+EZFScRLLvDiJRUREZGHqhG8BAA5l+8hcSfakXuaZl4cmsl4h3m8CAJLubZa5kuwxn4jsj6tzCADg6fMkWevISV5yhhmVM/bEIiIiIiIiIiIixeNKLCIiIjKIp+sQkVIxn4hIqXg6oXlxEouIiIgM4h+JRKRUzCciUipOYpkXJ7GIiIgoC1LfSPENGBGZG/OJiJQqLznDjMoJJ7GIiIjIIK50ICKlYj4RkVJxJZZ5sbE7EREREREREREpHldiERERkUG8hD0RKRXziYiUKi85w4zKGSexiIiIyCAhBKT0ZsgYR0RkPswnIlIqqfn031jKDiexiIiIKAvpAFQSxvENGBGZG/OJiJRKaj4BzKiccRKLiIiIDMpoLmr8mzB+ikhE5sZ8IiKlkppPGWOZUTlhY3ciIiIiIiIiIlI8rsQiIiKiLEj9JJGfIhKRuTGfiEippK/EYkbljJNYREREZJjU5fBcCk9E5sZ8IiKlysPphMyonHESi4iIiAwSEj8NlDqOiCi3mE9EpFR5yRlmVM7YE4uIiIgU4auvvkJoaCicnZ1Ro0YN/Prrr3KXREQEgPlERMplb/nESSwiIiLKgjoPN+OsXr0aQ4cOxdixY3HixAm88cYbaNGiBa5evWqSZ0JEtob5RERKlZd8Mi6j7DGfOIlFREREWRAZvRmMvUlYCj9nzhy8++67eO+991C+fHnMmzcPQUFBWLhwoemfFhHZAOYTESmVxHySkFH2mE9m6Ykl/m1Glpqaao7dE5GJaX5WNT+7tkybT4+fy1wJEeBgod+T0n/GRZ56M7z6PsDJyQlOTk56j3vx4gWOHTuGMWPG6GyPjIzEwYMHJR/f2mj+fdQiTeZKiCz3Pp75ZB00/z5CGL+SjcjUbD2fMh9bw1BG2Ws+mWUS69GjRwCAoKAgc+yeiMzk0aNH8PT0lLsMs9LkU3DD0TJXQgQAQyx6tNz+jDs6OsLPzw8pKSmSj+Xm5qb3PmDChAmIjo7We+ydO3eQnp4OX19fne2+vr55qsHaaPLp+sM9MldCBIu/H2A+KZsmn/55eV3mSohsO5+A3GeUveaTWSaxAgICkJycDHd3d6hUEi8tSUQWI4TAo0ePEBAQIHcpZsd8Intk7M+4s7MzEhMT8eLFizwd89WfMUOrHDJ79fGG9mHLmE9kj5hP1oH5RPZIjnzSHNeYjLK3fDLLJJaDgwOKFStmjl0TkZnY+gosDeYT2Stjf8adnZ3h7Oxspmp0FSlSBPny5dP71PDWrVt6ny7aMuYT2Svmk/Ixn8heMZ+Uh43diYiISFaOjo6oUaMGYmNjdbbHxsaiXr16MlVFRMR8IiLlstd8MstKLCIiIiJjDB8+HN27d0fNmjVRt25dLFq0CFevXkW/fv3kLo2I7BzziYiUyh7ziZNYREREJLu33noLd+/exaRJk3Djxg2EhYVh69atCA4Olrs0IrJzzCciUip7zCeVMP56kURERERERERERBbFnlhERERERERERKR4nMQiIiIiIiIiIiLF4yQWEREREREREREpHiexiIiIiIiIiIhI8TiJRUREREREREREisdJLCIiIiIiIiIiUjxOYhERERERERERkeJxEouIiIiIiIiIiBSPk1hERERERERERKR4nMQiIiIiIiIiIiLF4yQWEREREREREREpHiexiIiIiIiIiIhI8TiJRUREREREREREisdJLCIiIiIiIiIiUjxOYhERERERERERkeJxEouIiIiIiIiIiBSPk1hERERERERERKR4Rk1iLVu2DCqVCr///ru56rGomJgYzJs3T9LY6tWrQ6VSYfbs2bIc3xpFR0dDpVKZbf+a12dSUlKWj1GpVLm6xcXFoWfPnggJCcnVsVUqFaKjo03yPMjymG3Ay5cvsXDhQtStWxeenp5wcXFB+fLlMWbMGNy9e1fv8SEhIXjzzTdNVLH1iIuL02ZEVpgzpJFTtrz55pt6//4hISHo2bOnpOM1bNgQYWFhksZK9ffffyM6OhonT540euymTZugUqlQuHBh/PPPPxY/vrUydxbk9BrUvJ/L6dawYUMkJSVBpVJh2bJlOR7X3O8TyTSYa1k7f/48evbsieLFi8PR0RFFihRBy5YtsW3bNr3H2tp7T2M0bNgQDRs2zPJ+ZgzlJL/cBcgpJiYGf/zxB4YOHWrUuJMnT+LEiRMAgMWLF2PkyJEWPb61eu+999C8eXNZazh06JDO15MnT8bevXuxZ88ene0VKlRAUFAQhgwZYsnyiEzC2Gx5+vQpWrZsif379+P999/HuHHj4OLigkOHDmH27NmIiYlBbGwsypYta97CbQRzhvJiw4YN8PDwkLuMXPv7778xceJEhISEoGrVqkaNXbx4MQDg3r172LhxI9566y2LHt9aHTp0CMWKFZPt+K++n7tx4wY6dOiAQYMGISoqSrvdw8MD/v7+OHToEEqWLClHqaQQ9pBr69evR1RUFEqUKIFx48ahbNmyuHnzJpYuXYqWLVviww8/xKxZs8xbuI1gxlBO7HoSS6rvvvsOANCqVSts2bIFBw8eRL169cx6zPT0dKSlpcHJycmsxzGnYsWKyfqmCwDq1Kmj83XRokXh4OCgtx2AVf2yJcqLYcOGIT4+Hj/++KPOH5GNGjVCp06d8Nprr6Fjx444deoU8uXLJ2Ol+l6+fAmVSoX8+ZXz64w5Q3lRrVo1uUuwiJSUFGzduhWNGzfGwYMHsXjxYkmTWMZ6+vQpXF1dzX4cczKUJZb06vs5zQr44sWLG6xN7npJfraea5cuXUL37t1RqVIlxMXFoWDBgtr7OnfujA8++ACffvopqlevjv/9738yVmqY0nKRGUM5MUtPrP3796NJkyZwd3eHq6sr6tWrhy1btmjvT01NRf78+fHpp59qt925cwcODg7w9PREWlqadvvgwYNRtGhRCCG023bt2oUmTZrAw8MDrq6uqF+/Pnbv3q1Tw+3bt/H+++8jKCgITk5OKFq0KOrXr49du3YByFjGuGXLFly5ckVnWWJOnj9/jpiYGNSoUQNz584FACxZskTvcXk5vmZZ5KxZszBlyhSEhobCyckJe/fuBZCx/L5u3bpwdXWFu7s7IiIi9D751yyXPHv2LLp27QpPT0/4+vqid+/eePjwod5z+uijjxAaGgpHR0cEBgZiwIABePDggc7jNKcPbd68GdWqVdOebrR582YAGctiy5cvj4IFC+K1117TWx6b1RLOmJgY1K1bF25ubnBzc0PVqlW1n84CQGxsLNq2bYtixYrB2dkZpUqVQt++fXHnzp0c/73ywtBpPqmpqejTpw8KFy4MNzc3NG/eHH/++afB8RcvXkRUVBR8fHzg5OSE8uXL48svvzRrzWRetphtKSkpWLJkCZo1a2bwD8gyZcpg9OjROHv2LDZu3Kh3/4YNG1C5cmU4OzujRIkS+Pzzz3XuV6vVmDJlCsqWLQsXFxd4eXmhcuXKmD9/vs7jcvPzojmV7/vvv8eIESMQGBgIJycnnD17FiqVSic3NLZt2waVSoVNmzYZdSwAuHDhApo3bw5XV1cUKVIE/fr1w6NHj7L8XkrBnKFXGTrt5uzZs4iMjISrqyuKFi2KAQMGYMuWLVme2nr06FG88cYbcHV1RYkSJTBjxgyo1Wqdx6SmpmLkyJE6v/uHDh2KJ0+e6Dxu7dq1qF27Njw9PbX76927N4CMn8latWoBAHr16qXNm9yc6rZ8+XKkpaVh2LBh6NChA3bv3o0rV67oPS4vx+/Zsyfc3Nxw5swZREZGwt3dHU2aNAGQsfqrf//+CAwMhKOjI0qUKIGxY8fqndaoUqkwcOBAfP/99yhfvjxcXV1RpUoV7XufzHL6HQH8dwrRnj17tD/nHh4eeOedd/DkyROkpKSgS5cu8PLygr+/P0aOHImXL1/q1fTq9/j69eva3w2Ojo4ICAhAp06dcPPmTQAZ7/VGjBiBqlWrwtPTE97e3qhbty5+/vnnHP+t8iKrU322bNmCqlWrwsnJCaGhoVm25xBC4KuvvkLVqlXh4uKCQoUKoVOnTrh8+bJZ6ybTsvVcmzt3Lp4+fYovvvhCZwJL47PPPoOXlxemTp2qd9/9+/fRq1cveHt7o2DBgmjdurXe6/vEiRN48803tb/rAwIC0KpVK1y7dk37mNz+rGhOz9y3bx/q1asHV1dX9O7dG+3atUNwcLDe9xQAateujerVqxt9LCEEZs2aheDgYDg7O6N69eoGT63MC2aMnRJGWLp0qQAgjh49muVj4uLiRIECBUSNGjXE6tWrxcaNG0VkZKRQqVTixx9/1D6uTp06IjIyUvv1jz/+KJydnYVKpRIHDhzQbi9fvrzo0qWL9uvvv/9eqFQq0a5dO7F+/Xrxyy+/iDfffFPky5dP7Nq1S/u4Zs2aiaJFi4pFixaJuLg4sXHjRjF+/HhtDWfPnhX169cXfn5+4tChQ9pbTn744QcBQHz55ZdCCCFef/114ebmJh49eqTzuLwcPzExUQAQgYGBolGjRuKnn34SO3fuFImJidrjR0ZGio0bN4rVq1eLGjVqCEdHR/Hrr79qjz9hwgQBQJQtW1aMHz9exMbGijlz5ggnJyfRq1cv7ePUarVo1qyZyJ8/vxg3bpzYuXOnmD17tihYsKCoVq2aeP78ufaxwcHBolixYiIsLEysWrVKbN26VdSuXVsUKFBAjB8/XtSvX1+sX79ebNiwQZQpU0b4+vqKp0+f6tWU2bhx4wQA0aFDB7F27Vqxc+dOMWfOHDFu3DjtYxYuXCimT58uNm3aJOLj48Xy5ctFlSpVRNmyZcWLFy+0j9O8PhMTE3P8d9To0aOHKFiwYJb3BQcH63yvGjVqJJycnMTUqVPFzp07xYQJE0SJEiUEADFhwgTtY8+ePSs8PT1FpUqVxIoVK8TOnTvFiBEjhIODg4iOjs51fWQZ9pxtMTExAoBYuHBhlo85d+6cACD69u2r3RYcHCwCAwNF8eLFxZIlS8TWrVtFt27dBADx6aefah83ffp0kS9fPjFhwgSxe/dusX37djFv3jydn4Pc/rzs3btXm42dOnUSmzZtEps3bxZ3794V1apVE/Xr19ervUuXLsLHx0e8fPnSqGOlpKQIHx8fERgYKJYuXap9fsWLFxcAxN69e7P8fr2KOWO/NNly+PBh8fLlS71by5Ytdf79hcj42erRo4f267///lsULlxYFC9eXCxbtkxs3bpVdO/eXYSEhOi9FsPDw0XhwoVF6dKlxddffy1iY2NF//79BQCxfPly7eOePHkiqlatKooUKSLmzJkjdu3aJebPny88PT1F48aNhVqtFkIIcfDgQaFSqcT//vc/sXXrVrFnzx6xdOlS0b17dyGEEA8fPtQ+x08++USbN8nJyTl+b8qUKSP8/f1FWlqa2LVrlwCg97rN6/F79OghChQoIEJCQsT06dPF7t27xY4dO8SzZ89E5cqVRcGCBcXs2bPFzp07xbhx40T+/PlFy5YtdWoAIEJCQsRrr70m1qxZI7Zu3SoaNmwo8ufPLy5duqR9XG5/R2jqDQ0NFSNGjBA7d+4UM2fOFPny5RNdu3YV1atXF1OmTBGxsbFi9OjRAoD47LPP9GrKnAXXrl0T/v7+Ov+eq1evFr179xbnz58XQgjx4MED0bNnT/H999+LPXv2iO3bt4uRI0cKBwcHndeGEPqvwZxo3rdmzv5X71u6dKl2265du0S+fPnE66+/LtavXy/Wrl0ratWqpc3XzPr06SMKFCggRowYIbZv3y5iYmJEuXLlhK+vr0hJScl1jWQ6zDV9mr97stOlSxcBQNy4cUPn+xgUFCR69+4ttm3bJhYtWiR8fHxEUFCQuH//vhBCiMePH4vChQuLmjVrijVr1oj4+HixevVq0a9fP3Hu3Dnt/nP7sxIeHi68vb1FUFCQ+OKLL8TevXtFfHy8+PnnnwUAERsbq1P3+fPnBQDx+eefG30szd9+7777rvb5BQYGCj8/PxEeHp7t9yszZgy9yuSTWHXq1BE+Pj46kzppaWkiLCxMFCtWTBsgn3zyiXBxcdFOkrz33nuiefPmonLlymLixIlCCCGuX78uAIhFixYJITLCydvbW7Ru3VrnmOnp6aJKlSritdde025zc3MTQ4cOzfb5tGrVSi9kc9K4cWPh7OysDRbN92Tx4sU6j8vL8TU/jCVLltSZpElPTxcBAQGiUqVKIj09Xbv90aNHwsfHR9SrV0+7TRMas2bN0tl3//79hbOzs/bfYfv27QYft3r1ap3vvRAZv4BcXFzEtWvXtNtOnjwpAAh/f3/x5MkT7faNGzcKAGLTpk16NWlcvnxZ5MuXT3Tr1i3b71NmarVavHz5Uly5ckUAED///LP2PnNPYm3btk0AEPPnz9d53NSpU/XeUDZr1kwUK1ZMPHz4UOexAwcOFM7OzuLevXu5rpHMz56zbcaMGQKA2L59e5aPefbsmQAgWrRood0WHBwsVCqVOHnypM5jIyIihIeHhzYP3nzzTVG1atVsa8jtz4tmEqtBgwZ6+/j8888FAJGQkKDddu/ePeHk5CRGjBhh9LFGjx6d5fMz5yQWc8a2aLIlu1tOf+x9+OGHQqVSibNnz+o8rlmzZgb/2AMgfvvtN53HVqhQQTRr1kz79fTp04WDg4Ne5v30008CgNi6dasQQojZs2cLAOLBgwdZPsejR4/q/QGRk3379gkAYsyYMUKIjN/toaGhIjg4WJulpjh+jx49BACxZMkSne1ff/21ACDWrFmjs33mzJkCgNi5c6d2GwDh6+srUlNTtdtSUlKEg4ODmD59unZbbn9HaF4TgwYN0jl2u3btBAAxZ84cne1Vq1YV1atX19n2ahb07t1bFChQQOcP2pykpaWJly9finfffVdUq1ZN5z5zT2LVrl1bBAQEiGfPnmm3paamCm9vb533iYcOHTI4iZecnCxcXFzEqFGjcl0jmQ5zTZ+zs7OoU6dOto/RTEprnofm+9i+fXudxx04cEAAEFOmTBFCCPH7778LAGLjxo1Z7tuYnxXN93P37t06j3358qXw9fUVUVFROttHjRolHB0dxZ07d4w61v3794Wzs3OWz8+ck1jMGNtn0tMJnzx5gt9++w2dOnWCm5ubdnu+fPnQvXt3XLt2DQkJCQCAJk2a4NmzZzh48CCAjNNoIiIi0LRpU8TGxmq3AUDTpk0BAAcPHsS9e/fQo0cPpKWlaW9qtRrNmzfH0aNHtctFX3vtNSxbtgxTpkzB4cOH9ZZiS5GYmIi9e/eiQ4cO8PLyApBxnrO7u7veKYWmOH6bNm1QoEAB7dcJCQn4+++/0b17dzg4/PdP5+bmho4dO+Lw4cN4+vSp3j4yq1y5Mp4/f45bt24BgLbR8KtLfDt37oyCBQvqncpUtWpVBAYGar8uX748gIylqZnPpdZsN3RqgEZsbCzS09MxYMCALB8DALdu3UK/fv0QFBSE/Pnzo0CBAggODgaQcRUQS9GcztmtWzed7ZkbDAIZS/Z3796N9u3bw9XVVee12rJlSzx//hyHDx+2WN2Ud7aebbn16mmJFStWRJUqVXS2RUVFITU1FcePH9fWe+rUKfTv3x87duxAamqqzuOl/Lx07NhRr7Zu3brByclJZzn5qlWr8M8//6BXr15GH2vv3r1ZPj9zYs7YphUrVuDo0aN6t9dffz3HsfHx8QgLC0OFChV0tnft2tXg4/38/PDaa6/pbKtcubLO7+PNmzcjLCwMVatW1XntNGvWTOdUHs0pNV26dMGaNWtw/fp1Y552ljSn/mpO31GpVOjZsyeuXLmi877DVMd/NTP27NmDggULolOnTjrbNe+FXn3v06hRI7i7u2u/9vX1hY+Pj/Z7aszvCI1Xr+6qed/UqlUrve3ZvZcCMk6bbtSokXYfWVm7di3q168PNzc37fupxYsXW/S91JMnT3D06FF06NABzs7O2u3u7u5o3bq1zmM3b94MlUqFt99+W+d16ufnhypVqmR7lVgyP+aaccS/7SNefS/16u/7evXqITg4WPt+oFSpUihUqBBGjx6Nr7/+GufOndPbt7E/K4UKFULjxo11tuXPnx9vv/021q9fr209k56eju+//x5t27ZF4cKFjTrWoUOH8Pz58yyfn7kwY+yDSSex7t+/DyEE/P399e4LCAgAAO2l2jXn4O7atQt//fUXkpKStH/o/fbbb3j8+DF27dqFEiVKIDQ0FAC05/V36tQJBQoU0LnNnDkTQgjcu3cPALB69Wr06NED3333HerWrQtvb2+88847SElJkfz8lixZAiEEOnXqhAcPHuDBgwd4+fIl2rRpgwMHDuDChQvax5ri+K9+HzXfu6y+v2q1Gvfv39fZrgkcDU1j+GfPnmn3mT9/fhQtWlTncSqVCn5+ftpjanh7e+t87ejomO3258+fZ/HsMnr7AMi22btarUZkZCTWr1+PUaNGYffu3Thy5Ij2jzPN87AEzffq1e+pn5+f3uPS0tLwxRdf6L1OW7ZsCQBm7+dFpmXL2Va8eHEAGZP0WdHcFxQUpLP91dd+5m2a78dHH32E2bNn4/Dhw2jRogUKFy6MJk2aaHvmSfl5MfTv4O3tjTZt2mDFihVIT08HkNF75rXXXkPFihWNPtbdu3ezfX7mwpyxTeXLl0fNmjX1bp6enjmOvXv3Lnx9ffW2G9oG6P/eBzJ+92f+fXnz5k2cPn1a77Xj7u4OIYT2tdOgQQNs3LgRaWlpeOedd1CsWDGEhYVh1apVuX3qeh49eoS1a9fitddeQ9GiRbXvp9q3b6/X284Ux3d1ddW7gILm5/vVPyZ9fHyQP39+vfc+OX1PjfkdoWHM+6ns3ksBGe+ncrpwzvr169GlSxcEBgZi5cqVOHToEI4ePYrevXvnuH9Tun//PtRqda7y9ebNmxBCwNfXV++1evjwYWaczJhr/ylevHi276OA/5qT5/a9lCYzPD09ER8fj6pVq+Ljjz9GxYoVERAQgAkTJmg/yDT2Z8VQVgHQ5sGPP/4IANixYwdu3Lih/TDQmGNp6rf0eylmjH0w6eWcChUqBAcHB9y4cUPvvr///hsAUKRIEQAZv5Rff/117Nq1C8WKFYOfnx8qVaqEEiVKAMhoqrd7926dT6o0Y7/44ossr0KgCb8iRYpg3rx5mDdvHq5evYpNmzZhzJgxuHXrFrZv3270c1Or1dpP+Dt06GDwMUuWLNFeOtUUx3/1zZUmwLP6/jo4OKBQoUK5fUrafaalpeH27ds6E1lCCKSkpGg/rTAHzfGuXbumF+gaf/zxB06dOoVly5ahR48e2u1//fWX2erKiuZ7dffuXZ1fpq9OHhQqVEj76WtWq8w0kxdkHWw52xo1aoT8+fNj48aN6Nevn8HHaBq6R0RE6Gw3NHGm2ab5GcmfPz+GDx+O4cOH48GDB9i1axc+/vhjNGvWDMnJyZJ+XrJqVN+rVy+sXbsWsbGxKF68OI4ePYqFCxdq7zfmWIULF872+ZkLc4ZeVbhwYe1Ed2Z5eS0WKVIELi4uBi9Mo7lfo23btmjbti3++ecfHD58GNOnT0dUVBRCQkJQt25do4+9atUqPH36FEeOHDH4nmXDhg24f/++9r68Ht9QXhQuXBi//fYbhBA699+6dQtpaWk6zz83jPkdYQ5FixbVafBsyMqVKxEaGorVq1frPOdXG9mbW6FChaBSqXKVr0WKFIFKpcKvv/5q8Orc1nzFbntna7kWERGBL7/8EocPHzb4Pu7p06eIjY1FWFiY3kRKVj8LpUqV0n5dqVIl/PjjjxBC4PTp01i2bBkmTZoEFxcXjBkzxuiflazeR1WoUAGvvfYali5dir59+2Lp0qUICAhAZGSk9jG5PZbmPUxWz+/Vi9qYCjPGPph0JVbBggVRu3ZtrF+/XmdmXK1WY+XKlShWrBjKlCmj3d60aVMcO3YM69at055WU7BgQdSpUwdffPEF/v77b+12AKhfvz68vLxw7tw5gzP/NWvW1H6SlVnx4sUxcOBAREREaE9xAfRn8LOzY8cOXLt2DQMGDMDevXv1bhUrVsSKFSt0rj5myuMDQNmyZREYGIiYmBidK5o9efIE69at016x0Biaq/SsXLlSZ/u6devw5MkT7f3mEBkZiXz58un8kfkqTci+GiLffPON2erKSqNGjQAAP/zwg872mJgYna9dXV3RqFEjnDhxApUrVzb4OjX0iRIply1nm5+fH3r37o0dO3Zg9erVevf/+eefmDlzJipWrIh27drp3Hf27FmcOnVKZ1tMTAzc3d11rmKj4eXlhU6dOmHAgAG4d+8ekpKSTPrzEhkZicDAQCxduhRLly6Fs7OzzqkJxhyrUaNGWT4/c2LO0KvCw8Pxxx9/6J1CovmkXIo333wTly5dQuHChQ2+dgz9ceHk5ITw8HDMnDkTQMbVsjTbgdyvjF68eDHc3d2xe/duvfdSn376Kf755x+9178pjw9kvPd5/Pix3hVXV6xYob3fGMb+jjC1Fi1aYO/evXqnLGamUqng6Oio88drSkqK2a9O+CrNFazXr1+vswLs0aNH+OWXX3Qe++abb0IIgevXrxt8nVaqVMmitZPp2FquDRs2DC4uLhg0aJDelRABYOTIkbh//z4++eQTvftezbuDBw/iypUraNiwod5jVSoVqlSpgrlz58LLy0v73s+UPyu9evXCb7/9hv379+OXX35Bjx49kC9fPu39uT1WnTp14OzsnOXzMxdmjH2QtBJrz5492iWRmbVs2RLTp09HREQEGjVqhJEjR8LR0RFfffUV/vjjD6xatUrnl2eTJk2Qnp6O3bt3Y/ny5drtTZs2xYQJE6BSqXTO13Vzc8MXX3yBHj164N69e+jUqRN8fHxw+/ZtnDp1Crdv38bChQvx8OFDNGrUCFFRUShXrhzc3d1x9OhRbN++XWcVVaVKlbB+/XosXLgQNWrUgIODA2rWrGnwOS9evBj58+fHxx9/rF0anlnfvn0xePBgbNmyBQ0bNjT58QHAwcEBs2bNQrdu3fDmm2+ib9+++Oeff/Dpp5/iwYMHmDFjRpZjsxIREYFmzZph9OjRSE1NRf369XH69GlMmDAB1apVQ/fu3Y3eZ26FhITg448/xuTJk/Hs2TN07doVnp6eOHfuHO7cuYOJEyeiXLlyKFmyJMaMGQMhBLy9vfHLL79oewtZUmRkJBo0aIBRo0bhyZMnqFmzJg4cOIDvv/9e77Hz58/H66+/jjfeeAMffPABQkJC8OjRI/z111/45ZdftL3ISFnsMdsAYM6cOUhISMDbb7+Nffv2oXXr1nBycsLhw4cxe/ZsuLu7Y926dTpvYoCM02TatGmD6Oho+Pv7Y+XKlYiNjcXMmTO1E+qtW7dGWFgYatasiaJFi+LKlSuYN28egoODUbp0aQCm+3nJly8f3nnnHcyZMwceHh7o0KGD3mkNuT3W0KFDsWTJErRq1QpTpkyBr68vfvjhB53Txs2BOUOv0rwWW7RogUmTJsHX1xcxMTHa12LmHpnG7HPdunVo0KABhg0bhsqVK0OtVuPq1avYuXMnRowYgdq1a2P8+PG4du0amjRpgmLFiuHBgweYP38+ChQogPDwcABAyZIl4eLigh9++AHly5eHm5sbAgICDL5X+uOPP3DkyBF88MEHev1YgIwJ/c8++wyLFy/GwIEDTX58jXfeeQdffvklevTogaSkJFSqVAn79+/HtGnT0LJlS50PGXLLmN8RpjZp0iRs27YNDRo0wMcff4xKlSrhwYMH2L59O4YPH45y5crhzTffxPr169G/f3906tQJycnJmDx5Mvz9/XHx4kWz1WbI5MmT0bx5c0RERGDEiBFIT0/HzJkzUbBgQe2p80DG6+H9999Hr1698Pvvv6NBgwYoWLAgbty4gf3796NSpUr44IMPLFo7mYYt5Zrm8d9//z26deuGWrVqYfjw4Shbtixu3ryJJUuWYNu2bRg5ciTeeustvbG///473nvvPXTu3BnJyckYO3YsAgMD0b9/fwAZfZu++uortGvXDiVKlIAQAuvXr8eDBw+0K+RN+bPStWtXDB8+HF27dsU///yj1zc5t8cqVKgQRo4ciSlTpug8v+joaLO3ZmDG2AFjusDndDUKzVXhfv31V9G4cWNRsGBB4eLiIurUqSN++eUXvf2p1WpRpEgRAUBcv35du11z1YJXr8aiER8fL1q1aiW8vb1FgQIFRGBgoGjVqpVYu3atEEKI58+fi379+onKlSsLDw8P4eLiIsqWLSsmTJigcwW9e/fuiU6dOgkvLy+hUqn0Lrmpcfv2beHo6CjatWuX5ffm/v37wsXFRbRu3TrPx8/uCgxCZFz5r3bt2sLZ2VkULFhQNGnSRBw4cEDnMZorAd6+fVtnu6Er+D179kyMHj1aBAcHiwIFCgh/f3/xwQcfaK/AqBEcHCxatWqlVw8AMWDAAJ1thp7Dq1cn1FixYoWoVauWcHZ2Fm5ubqJatWo6V5g4d+6ciIiIEO7u7qJQoUKic+fO4urVq3pX5zH31QmFyLhEde/evYWXl5dwdXUVERER4sKFC3q1aL4HvXv3FoGBgaJAgQKiaNGiol69etqrjZBy2Gu2ZfbixQvx5Zdfitq1aws3Nzfh5OQkypYtK0aNGqW9Ik1mmjz46aefRMWKFYWjo6MICQnRu7LWZ599JurVqyeKFCkiHB0dRfHixcW7774rkpKSdB6Xm58XzdUJNd8PQ/7880/tv9url4k25lhC/Jc9zs7OwtvbW7z77rvaS1Cb6+qEQjBnbElOVz41dCVRQ1eG++OPP0TTpk11XovLly8XAMSpU6e0jwsPDxcVK1bUO46h19njx4/FJ598IsqWLSscHR2Fp6enqFSpkhg2bJj2suKbN28WLVq0EIGBgcLR0VH4+PiIli1bil9//VVnX6tWrRLlypUTBQoUMPg61Rg6dKgAoHfVz8zGjBkjAIhjx47l+fjZ/ezdvXtX9OvXT/j7+4v8+fOL4OBg8dFHH2mvLKth6D2OEIb/nXLzOyKr10RW79sMPQdD3+Pk5GTRu3dv4efnJwoUKCACAgJEly5dxM2bN7WPmTFjhggJCRFOTk6ifPny4ttvvzX43szcVycUQohNmzaJypUra38vzJgxI8v3iUuWLBG1a9fWfl9Lliwp3nnnHfH777/nukYyHeZa1s6ePSt69OghihUrJgoUKCC8vb1F8+bNxZYtW/Qeq/k+7ty5U3Tv3l14eXkJFxcX0bJlS3Hx4kXt4y5cuCC6du0qSpYsKVxcXISnp6d47bXXxLJly/T2mZuflay+n5lFRUUJAKJ+/fpZPiY3x1Kr1WL69OkiKChIODo6isqVK4tffvlFhIeHm/XqhEIwY2ydSohM56URERERkeK9//77WLVqFe7evWvwdGMiImvDXCOi3DBpY3ciIiIiMq1JkyYhICAAJUqUwOPHj7F582Z89913+OSTT/iHHhFZJeYaEUnFSSwiIiIiBStQoAA+/fRTXLt2DWlpaShdujTmzJmDIUOGyF0aEZEkzDUikoqnExIRERERERERkeIZf+kHIiIiIiIiIiIiC+MkFpGdmD59OmrVqgV3d3f4+PigXbt2SEhIyHFcfHw8atSoAWdnZ5QoUQJff/21BaolInvCfCIipWI+EZFS2Ws+cRKLyE7Ex8djwIABOHz4MGJjY5GWlobIyEg8efIkyzGJiYlo2bIl3njjDZw4cQIff/wxBg8ejHXr1lmwciKydcwnIlIq5hMRKZW95pNZemKp1Wr8/fffcHd3h0qlMvXuiRRJCIFHjx4hICAADg65mx9+/vw5Xrx4IfmYjo6OcHZ2ljT29u3b8PHxQXx8PBo0aGDwMaNHj8amTZtw/vx57bZ+/frh1KlTOHTokKTjyo35RPaI+WQdmE9kj5hP1oH5RPZIjnwCpGeUveSTWa5O+PfffyMoKMgcuyZSvOTkZBQrVizHxz1//hyhwW5IuZUu+Vh+fn44deqUTsg5OTnByckpx7EPHz4EAHh7e2f5mEOHDiEyMlJnW7NmzbB48WK8fPkSBQoUkFi5fJhPZM+YT8rGfCJ7xnxSNuYT2TNL5hMgPaPsJZ/MMonl7u4OIOMf28PDwxyHICvR1vMduUuwmDS8xH5s1b7+c/LixQuk3ErHlWMh8HA3/sze1EdqBNdIgq+vr872CRMmIDo6OtuxQggMHz4cr7/+OsLCwrJ8XEpKit7+fX19kZaWhjt37sDf39/ouuXGfCKN9r595C7BYtLES+z7ZwPzSeGYT6ShvllN7hIsJvWxGsHVk5hPCsd8Io1L10rLXYLFPH6sRoPadyyWT4D0jLKnfDLLJJZmiamHhwdDzs7lVyl/Jtdk/j0x19gl1m7uKri5G78sW42MMa++mcjNp4gDBw7E6dOnsX///hwf++rz0ZyBbK1LyZlPpJFf5Sh3CRbHfFI25hNpqJ/aX9ta5pOyMZ9Iw03i5Iw1s1Q+AdIzyp7yySyTWESUe+lCjXQJnenShRqA8W8mBg0ahE2bNmHfvn05Lov18/NDSkqKzrZbt24hf/78KFy4sPFFE5FVYT4RkVIxn4hIqaTmk2YsYFxG2Vs+cRKLSGZqCKhhfMoZO0YIgUGDBmHDhg2Ii4tDaGhojmPq1q2LX375RWfbzp07UbNmTas4X5qI8ob5RERKxXwiIqWSmk+asbllr/nESSwymQiHznKXIJtY9VqkpqbC09PT6LFqqKGWcExjRw0YMAAxMTH4+eef4e7urp2B9/T0hIuLCwDgo48+wvXr17FixQoAGVeqWLBgAYYPH44+ffrg0KFDWLx4MVatWiWhYiL5NHPtLncJstnx9Pt/82mN0WOZT0Tmp06xn/4yr3LwuwgH11QAfP9EpEQXk5XfH8lcSgfdQGqqZfNJMza37DWf7O+EViI7tXDhQjx8+BANGzaEv7+/9rZ69WrtY27cuIGrV69qvw4NDcXWrVsRFxeHqlWrYvLkyfj888/RsWNHOZ4CEdko5hMRKRXziYiUyl7ziSuxiGSWLgTShfHLTY0dI3Lx+GXLlultCw8Px/Hjx406FhHZBuYTESkV84mIlEpqPmnG5pa95hMnsYhkZqmeDkRExmI+EZFSMZ+ISKks1RPLXnESi0iiWPVak+xHDYF0vgkjIhPa8fR7k+yH+UREpubgd9Ek+2E+EZGplQ66YZL9SM0nzVjKHiexiGTGTxKJSKmYT0SkVMwnIlIqrsQyLzZ2JyIiIiIiIiIixeNKLCKZWaoxKRGRsZhPRKRUzCciUipLNXa3V5zEIpKZ+t+blHFERObEfCIipWI+EZFSSc0nzVjKHiexiGSWLrHxn9RmgUREucV8IiKlYj4RkVJJzSfNWMoee2IREREREREREZHicSUWkczSRcZNyjgiInNiPhGRUjGfiEippOaTZixlj5NYRDJjTwciUirmExEpFfOJiJSKPbHMi5NYRDJTQ4V0qCSNIyIyJ+YTESkV84mIlEpqPmnGUvY4iUV5EuHQWe4SLC5Wvdak+1OLjJuUcUSUtWau3eUuweJ2PP3epPtjPhGZhzqltNwlWJyD30WT7o/5RGQeF5P95S7B4koH3TDp/qTmk2YsZY+N3YmIiIiIiIiISPG4EotIZukSl5tKXaJKRJRbzCciUirmExEpldR80oyl7HESi0hmfBNGRErFfCIipWI+EZFScRLLvDiJRSQztVBBLSQ0JpUwhojIGMwnIlIq5hMRKZXUfNKMpexxEouMZo/N3M2JnyQSmY49NnM3J+YTkenYYzN3c2I+EZmOPTZzNyeuxDIvNnYnIiIiIiIiIiLF40osIpmlwwHpEuaT081QCxFRZswnIlIq5hMRKZXUfMoYSznhJBaRzITEc6YFz5cmIjNjPhGRUjGfiEippOaTZixlj5NYRDJjTwciUirmExEpFfOJiJSKPbHMiz2xiIiIiIiIiIhI8bgSi0hm6cIB6UJCTwdhhmKIiDJhPhGRUjGfiEippOZTxlgTF2ODOIlFJDM1VFBLWBSpBhOOiMyL+URESsV8IiKlkppPGWOZUTnhJBaRzNjTgYiUivlERErFfCIipWJPLPPiJBZRLsSq15pt39KXw3OWnoiAHU+/N9u+mU9ElBcOfhfNtm/mExHlRemgG2bbd95OJ2RG5YSN3YmIiIiIiIiISPG4EotIZhnnTBu/bFTKGCIiYzCfiEipmE9EpFRS80kzlrLHSSwimanhgHQ2JiUiBWI+EZFSMZ+ISKmk5lPGWGZUTjiJRSQz9nQgIqViPhGRUjGfiEip2BPLvDiJRbkS4dBZ7hKIiAxq5tpd7hKIiAxSp5SWuwQiIoMuJvvLXQKRJGzsTiQzNRwk34yxb98+tG7dGgEBAVCpVNi4cWO2j4+Li4NKpdK7XbhwIQ/PloisCfOJiJTKUvkEMKOIyDh5ySe+h8oZV2IRySxdqJAujG/gZ+yYJ0+eoEqVKujVqxc6duyY63EJCQnw8PDQfl20aFGjjktE1ov5RERKZal8AphRRGQcqfmkGWsMe8wnTmIRySxdYuO/dCOb/rVo0QItWrQw+jg+Pj7w8vIyehwRWT/mExEplaXyCWBGEZFxpOZTxli+h8oJTyckkplaOEi+WUK1atXg7++PJk2aYO/evRY5JhEpA/OJiJRK6fkEMKOI7FVe8onvoXLGlViUJXtv5h6rXit3CbmSmpqq87WTkxOcnJzyvF9/f38sWrQINWrUwD///IPvv/8eTZo0QVxcHBo0aJDn/RPlhb03c9/x9Hu5S8gV5hPZI3tv5u7gd1HuEnLFXPkEMKNIuey9mXvpoBtyl5BrfA+VNU5iEcksr8vhg4KCdLZPmDAB0dHRea6rbNmyKFu2rPbrunXrIjk5GbNnz7aagCOivGE+EZFSKTWfAGYUkb0zxemEfA+VNU5iEclMDWlNRtX//n9ycrJOUz5TfYpoSJ06dbBy5Uqz7Z+IlIX5RERKZU35BDCjiOyJ1HzSjAX4Hio7nMQikpnUyz1rxnh4eOgEnDmdOHEC/v72vQyZyJ4wn4hIqawpnwBmFJE9kZpPmrEA30Nlh5NYpMeee2HJ0QcrXTggXUIDP2PHPH78GH/99Zf268TERJw8eRLe3t4oXrw4PvroI1y/fh0rVqwAAMybNw8hISGoWLEiXrx4gZUrV2LdunVYt26d0bUSmYo998KSow8W84ko9+y5F5YcfbAslU8AM4qsnz33wpKjD5bUfNKMNYY95hMnsYjsxO+//45GjRppvx4+fDgAoEePHli2bBlu3LiBq1evau9/8eIFRo4cievXr8PFxQUVK1bEli1b0LJlS4vXTkS2jflERErGjCIipbLHfOIkFpHM1FBBDSk9HYwb07BhQwghsrx/2bJlOl+PGjUKo0aNMrouIrIdzCciUipL5RPAjCIi40jNJ81YY9hjPnESi0hmllwOT0RkDOYTESkV84mIlMqSpxPaI05iEclM+iWiGXBEZF7MJyJSKuYTESmV1HzSjKXscRKLANh3M3dAnobuRJQ79tzMHZCnoTsR5Y49N3MH5GnoTkS5Y8/N3AF5GrqTZXASi0hmaqGCWkjo6SBhDBGRMZhPRKRUzCciUiqp+aQZS9njJBaRzNQSl5uqudSUiMyM+URESsV8IiKlkppPmrGUPU5iEclMLRygltDAT8oYIiJjMJ+ISKmYT0SkVFLzSTOWssdJLCKZpUOFdAmXYJUyhojIGMwnIlIq5hMRKZXUfNKMpexxEsuO2XszdyJSLntv5k5EymXvzdyJSLnsvZk72QdOYhHJjMvhiUipmE9EpFTMJyJSKp5OaF6cxCKSWTqkLRtNN30pREQ6mE9EpFTMJyJSKqn5pBlL2eMkFpHM+EkiESkV84mIlIr5RERKxZVY5sXvEBERERERERERKR5XYtkZNnP/T6x6rdwlAADShQPSJcy4SxlDpGRs5v6fHU+/l7sEAMwnIg02c/+Pg99FuUsAwHwi0mAz9/+UDrohdwkApOeTZixlj5NYRDITUEEt4ZxpwcuvEpGZMZ+ISKmYT0SkVFLzSTOWssdJLCKZ8ZNEIlIq5hMRKRXziYiUiiuxzOv/7d1/kJXlff//11lgF3Y+7Brd7g8664K6IJHUGpjI0rEQM4BLoxnJIDZTRFFSYh0qlNoxThT8TorNUIsMMVarrJK0VUKsk4EGdyqgRrCsQmtTQzYGsxu6GwrV/REMyJ77+wee4x539+w59zn3fb3PfZ6PmXsme/Zc97mWvfPy3ve5rvehiAU4FvdiinvZV9z9jAGAbJBPAKwinwBY5TefEmORHkWsIkEvLABW0QsLgFX0wgJgFb2wUKwoYgGODahEAz4+KNTPGADIBvkEwCryCYBVfvMpMRbpUcQCHGM5PACryCcAVpFPAKxiO2GwKGIBjsVVoriPirufMQCQDfIJgFXkEwCr/OZTYizSo4gFODbgxTTgo+LuZwwAZIN8AmAV+QTAKr/5lBiL9Chioai0xne4ngIADGvP6e2upwAAwyqpbXc9BQAYVmN9l+spIGQUsQDH6OkAwCryCYBV5BMAq+iJFSyKWIBjnleiuJf93mfPxxgAyAb5BMAq8gmAVX7zKTEW6VHEAhwbUEwD8tHTwccYAMgG+QTAKvIJgFV+8ykxFulR5gMAAAAAAIB5rMSKsPklS1xPwQTrzdzjnr+9z3EvgMkAIVlYvsz1FEyw3sydfEIxinc3up6CCdabuZNPKEbtnXWup2CC9WbufvMpMRbpUcQCHIv73DPtd581AGSKfAJgFfkEwCq/+ZQYi/QoYgGOxRVT3MfeZz9jACAb5BMAq8gnAFb5zafEWKRHEQtwbMCLacDHclM/YwAgG+QTAKvIJwBW+c2nxFikx1o1AAAAAAAAmMdKrIihmfvHrDd0T6CnA4oFzdw/Zr2hewL5hGJBM/ePWW/onkA+oVjQzP1j1hu6J9ATK1j8CwGOxRVT3PNxZLlf+uWXX9b111+vSZMmKRaL6V/+5V9GHbN//37NnDlT48eP1yWXXKLHHnvM508JoBCRTwCsCiufJDIKQHZ85xP3UBmhiAU45n3U+C/bw8sy4H7zm9/oyiuv1NatWzN6/rFjx7Ro0SJdc801Onz4sL7+9a9r9erV2rlzp58fE0ABIp8AWBVWPklkFIDs+M0n7qEyw3ZCwLFE1d3PuGw0Nzerubk54+c/9thjuvjii7V582ZJ0vTp09XW1qZNmzbpy1/+clavDaAwkU8ArAornyQyCkB2/OZTYmw2ijGfWIkFFLje3t6U48yZM3k574EDB7RgwYKUxxYuXKi2tjZ9+OGHeXkNANFGPgGwKqh8ksgoALnjHmpkFLEAxxKN//wcklRfX6/KysrksXHjxrzMq7u7WzU1NSmP1dTU6Ny5czp58mReXgOAbeQTAKus5pNERgHFLpd84h5qdGwnBBzLdTl8Z2enKioqko+XlZXlbW6xWOq8PM8b9nEA0UQ+AbDKcj5JZBRQzPKxnZB7qJFRxAIcSzTx8zNOkioqKlICLl9qa2vV3d2d8tiJEyc0duxYXXTRRXl/PQD2kE8ArLKaTxIZBRQ7v/mUGCtxD5UO2wkBDKupqUmtra0pj7344ouaNWuWxo0b52hWAEA+AbCNjAJgVRTyiZVYETC/ZInrKZjRGt/hegpZC+vTdfr7+/Xzn/88+fWxY8d05MgRXXjhhbr44ot177336vjx43rmmWckSatWrdLWrVu1du1arVy5UgcOHNCTTz6pf/qnf8p6riheC8uXuZ6CGXtOb3c9hayRT4iyeHej6ymYUVLb7noKWQvz0wnJKIStvbPO9RTMaKzvcj2FrIX56YTFmE8UsQDHwroJa2tr0+c///nk12vXrpUkLV++XC0tLerq6lJHR0fy+1OmTNHu3bu1Zs0affvb39akSZO0ZcuWgvnoVQC5I58AWBVmEYuMApCNMItYxZhPFLEAx8K6CZs3b16yad9wWlpahjw2d+5cvfnmm9lODUBEkE8ArAqziEVGAchGmEWsYswniliAY2HehAFANsgnAFaRTwCsCrOIVYxo7A4AAAAAAADzWImFgleIzdwH8yRfH8E68qJRAFYUYjP3wcgnILoKsZn7YOQTEF2F2Mx9ML/5lBiL9ChiAY6xHB6AVeQTAKvIJwBWsZ0wWBSxAMe4CQNgFfkEwCryCYBVFLGCRU8sAAAAAAAAmMdKLMAx3kkEYBX5BMAq8gmAVazEChZFrAI2v2SJ6yk4U+jN3AfjJgxRtLB8mespOFPozdwHI58QRfHuRtdTcKbQm7kPRj4hito761xPwZlCb+Y+GEWsYFHEAhzzvJg8H2HlZwwAZIN8AmAV+QTAKr/5lBiL9ChiAY7FFfP1Eax+P7YVADJFPgGwinwCYJXffEqMRXo0dgcAAAAAAIB5rMQqAMXc+6oY0NMBhayYe18VA/IJhayYe18VA/IJhayYe18VA3piBYsiFuAYPR0AWEU+AbCKfAJgFT2xgkURC3CMdxIBWEU+AbCKfAJgFSuxgkURC3CMdxIBWEU+AbCKfAJgFSuxgkVjdwAAAAAAAJjHSixjaOI+stb4DtdTCITnc7kpVXqEjSbuI9tzervrKQSCfEKhoIn7yEpq211PIRDkEwoFTdxH1ljf5XoKgfCbT4mxSI8iFuCYJ8nz/I0DgCCRTwCsIp8AWOU3nxJjkR5FLMCxuGKKyUdjUh9jACAb5BMAq8gnAFb5zafEWKRHTywAAAAAAACYx0oswDE+XQeAVeQTAKvIJwBW8emEwaKI5QgN3JEQ92KK+Qgrv80CgdHQwB0J5BOsoYE7EsgnWEMDdyT4zafEWKRHEQtwzPN8Nial6x+AgJFPAKwinwBY5TefEmORHkUswDGWwwOwinwCYBX5BMAqthMGi8buAAAAAAAAMI+VWCGiD5Y/rfEdrqcQKN5JhAX0wfJnz+ntrqcQKPIJFtAHy5+S2nbXUwgU+QQL6IPlT2N9l+spBIqVWMGiiAU4RmNSAFaRTwCsIp8AWEVj92BRxAIcozEpAKvIJwBWkU8ArKKxe7AoYgGOnQ85P8vhA5gMAAxCPgGwinwCYJXffEqMRXo0dgcAAAAAAIB5rMQKGM3c/Yl6M/fBaEwKV2jm7k/Um7kPRj7BFZq5+xP1Zu6DkU9whWbu/kS9mftgNHYPFiuxAMe8HI5sPfroo5oyZYrGjx+vmTNn6pVXXhnxufv27VMsFhty/PSnP/XxygAKUZj5JJFRADJHPgGwKpd84m+80bESC3AsrHcSn332Wd1999169NFH9Qd/8Af6+7//ezU3N+u///u/dfHFF4847ujRo6qoqEh+/Tu/8ztZzxVAYQpzpQMZBSAb5BMAq8JciVWM+cRKLKBIPPzww7r99tt1xx13aPr06dq8ebPq6+v1ne98J+246upq1dbWJo8xY8aENGMAxYSMAmAV+QTAqmLMJ4pYgGs5rjXt7e1NOc6cOTPkJc6ePas33nhDCxYsSHl8wYIFeu2119JO76qrrlJdXZ2+8IUvaO/evTn8oAAKTgj5JJFRAHwgnwBYlYf9hPyNNzKKWAGZX7KEpu7IzEfLTbM99NFS0/r6elVWViaPjRs3DnmJkydPamBgQDU1NSmP19TUqLu7e9hp1dXV6fHHH9fOnTv1gx/8QNOmTdMXvvAFvfzyy/n/N0CoFpYvo6k7MhNCPklkFD4W726kqTsyQz4hZO2ddTR1R2Z85hN/42WGnliAY553/vAzTpI6OztT9jOXlZWNOCYWS91j7XnekMcSpk2bpmnTpiW/bmpqUmdnpzZt2qQ//MM/zH7CAApOmPkkkVEAMkc+AbDKbz4lxkr8jZcOK7EAx/xW6RNN/yoqKlKO4QKuqqpKY8aMGVKRP3HixJDKfTqzZ89We3vxfHw3UOzCyCeJjAKQPfIJgFW55BN/442OIhZQBEpLSzVz5ky1tramPN7a2qo5c+ZkfJ7Dhw+rro5l1ADyi4wCYBX5BMCqYs0nthMCrg3a+5z1uCysXbtWy5Yt06xZs9TU1KTHH39cHR0dWrVqlSTp3nvv1fHjx/XMM89IkjZv3qzJkyfriiuu0NmzZ/Xd735XO3fu1M6dO7OfK4DCFFI+SWQUgCyRTwCs8ptPibFZKMZ8ooiVRzRyz01rfIfrKTiRa0+HTC1dulSnTp3Sgw8+qK6uLs2YMUO7d+9WQ0ODJKmrq0sdHR3J5589e1br1q3T8ePHNWHCBF1xxRXatWuXFi1alP1k4RyN3HOz5/R211NwIqx8ksioYkYj99yU1BbOFpB8Ip8QBhq556axvsv1FJzIR0+sTBVjPsU8z+8/78h6e3tVWVmpnp6elGZkUUcRKzeFXsTK9rpPPL/hiW+opHx81q8XP/1b/XLl/1d0/z/LVbHmE0Ws3BR6EYt8KgzFmk8UsXJT6EUs8qkwFGs+UcTKTaEXscLOJ4mMygQ9sQAAAAAAAGAe2wkBxwZ/CkW24wAgSOQTAKvIJwBW+c2nxFikRxHLB7YNIu/yvqkXxYptg8g78gl5wrZB5B35hDxh2yDyjnwKDEUswDHeSQRgFfkEwCryCYBVrMQKFkUswDVP/ir1VPcBBI18AmAV+QTAKr/5lBiLtGjsDgAAAAAAAPNYiQU4F/vo8DMOAIJEPgGwinwCYJXffEqMRToUseBUa3yH6ym4x3J4wKQ9p7e7noJ75BNgUkltu+spuEc+ASY11ne5noJ7bCcMFEUswDVuwgBYRT4BsIp8AmAVRaxA0RMLcM2L+T8AIEjkEwCryCcAVuWSTxHLqAcffFCnT58e8vgHH3ygBx980Nc5KWIBAAAAAAAgrzZs2KD+/v4hj58+fVobNmzwdU6KWIBjnuf/AIAgkU8fW7Fihfr6+oY8/pvf/EYrVqxwMCOguJFPAKzKJZ+illGe5ykWG7q67D/+4z904YUX+jonPbFGMb9kiespIOro6QCfFpYvcz0FRB35lPT000/roYce0sSJE1Me/+CDD/TMM8/oqaeecjQzm+Ldja6ngKgjn+BTe2ed6ykg6uiJpU996lOKxWKKxWKaOnVqSiFrYGBA/f39WrVqla9zU8QCXPO79zli+6UBGEQ+qbe3V57nyfM89fX1afz48cnvDQwMaPfu3aqurnY4Q6BIkU8ArMqlt1VEMmrz5s3yPE8rVqzQhg0bVFlZmfxeaWmpJk+erKamJl/npogFAAAwggsuuCDlncRPisVivns6AAAARNHy5cslSVOmTNGcOXM0bty4vJ2bIhbgWMw7f/gZBwBBIp+kvXv3yvM8XXvttdq5c2dK/4bS0lI1NDRo0qRJDmcIFCfyCYBVfvMpMTZK5s6dq4GBAe3cuVNvv/22YrGYPv3pT+uGG27QmDFjfJ2TIhbgGj0dAFhFPmnu3LmSpGPHjqm+vl4lJXwmDmAC+QTAKnpiJf385z/XokWLdPz4cU2bNk2e5+lnP/uZ6uvrtWvXLl166aVZn5Mi1jBo5h681vgO11Owg54OyALN3IO35/R211Owg3xKamho0Pvvv68nn3wy5Z3EFStWpPR5KGY0cw9eSW276ynYQT4hCzRzD15jfZfrKdhBT6yk1atX69JLL9XBgweTq9lPnTqlP/mTP9Hq1au1a9eurM/J24mAa14OBwAEiXxKamtr06WXXqq/+7u/0//93//p5MmTevjhh3XppZfqzTffdD09oPiQTwCsyiWfIpZR+/fv17e+9a2UdgwXXXSRHnroIe3fv9/XOVmJBQAAMIo1a9bohhtu0BNPPKGxY8/fPp07d0533HGH7r77br388suOZwgAAGBLWVmZ+vr6hjze39+v0tJSX+dkJRbgGlV6AFaRT0ltbW36q7/6q2QBS5LGjh2re+65R21tbQ5nBhQp8gmAVazESvriF7+or371q3r99dfleZ48z9PBgwe1atUq3XDDDb7OyUqsj9AHC874DauIBRxGRh8sOEM+JVVUVKijo0OXX355yuOdnZ2aOHGio1m5Rx8sOEM+YRT0wYIzuRSjIpZRW7Zs0fLly9XU1KRx48ZJOr+S/YYbbtAjjzzi65wUsQDXaEwKwCryKWnp0qW6/fbbtWnTJs2ZM0exWEyvvvqq/vIv/1J//Md/7Hp6QPEhnwBYRWP3pAsuuEAvvPCC2tvb9dOf/lSe5+nTn/60LrvsMt/npIgFAAAwik2bNikWi+mWW27RuXPnJEnjxo3T1772NT300EOOZwcAAGBXY2OjGhvzs3qbIhbgWMw7f/gZBwBBIp8+VlpaqkceeUQbN27UO++8I8/zdNlll6m8vNz11ICiRD4BsMpvPiXGRsnAwIBaWlr0b//2bzpx4oTi8XjK91966aWsz0kRC3CNng4ArCKfhigvL9dnPvMZ19MAQD4BsIqeWEl//ud/rpaWFv3RH/2RZsyYoVgs9+2SRV/EoqF7eFrjO1xPASgoNHQPz57T211PAQYtXrw44+f+4Ac/CHAm9tDQPTwlte2upwAUFBq6h6exvsv1FGDcP//zP+u5557TokWL8nbOoi9iAa7F5HM5fN5nAgCpij2fKisrXU8BwAiKPZ8A2OU3nxJjo6S0tDSnJu7DoYgFAAAwjG3btmU95sc//rFmzZqlsrKyAGYEAABQOP7iL/5CjzzyiLZu3ZqXrYQSRSzAPT4iGoBV5FPWmpubdeTIEV1yySWupwJEG/kEwCq/+ZQYW+A+2Y7hpZde0r/+67/qiiuu0Lhx41K+56cdA0UswDUakwKwinzKmucV8Q8PhIl8AmBVkTd2/2Q7hhtvvDGv5y/J69kKxPySJckDcM7L4cjSo48+qilTpmj8+PGaOXOmXnnllbTP379/v2bOnKnx48frkksu0WOPPZb9iyIrC8uXJQ/AuRDzSSKjrIt3NyYPwDnyCYO0d9YlD8C5XPIpAn/jbdu2LeMj4cc//rHOnDmT0fmLsogFWBLz/B/ZePbZZ3X33Xfrvvvu0+HDh3XNNdeoublZHR0dwz7/2LFjWrRoka655hodPnxYX//617V69Wrt3LkzDz81gEIQVj5JZBSA7JBPAKzKJZ+K9W+85uZmHT9+PKPnUsQCisTDDz+s22+/XXfccYemT5+uzZs3q76+Xt/5zneGff5jjz2miy++WJs3b9b06dN1xx13aMWKFdq0aVPIMwdQDMgoAFaRTwCsiko+ZdOOgSIW4FoIS03Pnj2rN954QwsWLEh5fMGCBXrttdeGHXPgwIEhz1+4cKHa2tr04YcfZv7iAApXSEvho5RR+frkHQCjIJ8AWBXSdsJizScauwOu+dz7nBjT29ub8nBZWdmQj3Y/efKkBgYGVFNTk/J4TU2Nuru7hz19d3f3sM8/d+6cTp48qbo6eg4AkRdCPknRyigauwMhIZ8AWOU3nxJjxd946RRNEYsm7rDKb3+GxJj6+vqUxx944AGtX79++DGfWCHgeV7aVQPDPX+4x5EbmrjDqjDzSYpGRvX19Tl77SDQxB1WkU+giTus8ptPibESf+OlUzRFLCCqOjs7VVFRkfx6uHcRq6qqNGbMmCEV+RMnTgypxCfU1tYO+/yxY8fqoosuysPMAURdJvkkFU5Gff/739dzzz2njo4OnT17NuV7b775ZiCvCSAYUcsnANFSbH/jZVNAoycW4JoX839IqqioSDmGC7jS0lLNnDlTra2tKY+3trZqzpw5w06rqalpyPNffPFFzZo1S+PGjcvTDw/AtBDySSqMjNqyZYtuu+02VVdX6/Dhw/rc5z6niy66SL/4xS/U3Nyc99cDMAryCYBVueRTkf6NR2N3oJCE1Jh07dq1+od/+Ac99dRTevvtt7VmzRp1dHRo1apVkqR7771Xt9xyS/L5q1at0i9/+UutXbtWb7/9tp566ik9+eSTWrduXW4/L4DCEVI+SfYz6tFHH9Xjjz+urVu3qrS0VPfcc49aW1u1evVq9fT0BPKaANIgnwBYFVJjdyk6+dTX16dLLrkko+dGejshfbAQlvklS3TO8/dpDrn2dMjU0qVLderUKT344IPq6urSjBkztHv3bjU0NEiSurq61NHRkXz+lClTtHv3bq1Zs0bf/va3NWnSJG3ZskVf/vKXs58shqAPFsKysHyZznlnR3/iMMLKJ8l+RnV0dCTf1ZwwYUKy99WyZcs0e/Zsbd26NZDXdYE+WAhLvLtR8b64r7HkU3GiDxbC0t5Zp/6Q8ykxNhuFkE/5bscQ6SIWUBBy/HSdbNx555268847h/1eS0vLkMfmzp1LnxegmIWYT5LtjKqtrdWpU6fU0NCghoYGHTx4UFdeeaWOHTvGJxICLpBPAKzKw6cTZsNyPm3ZskX33Xefli9frhdeeEG33Xab3nnnHR06dEh/9md/5uucbCcEAAAYxbXXXqsf/vCHkqTbb79da9as0fz587V06VLdeOONjmcHAABgTxDtGFiJBbjmd7kpb/wDCBr5lHTffffpd3/3dyWd7ydx4YUX6tVXX9X1119PY3fABfIJgFU5bCeMWkYF0Y6BIhbgWsjL4QEgY+RT0mWXXaauri5VV1dLkm666SbddNNNOnXqlKqrqzUwMOB4hkCRIZ8AWBXydkLLgmjHELkiFs3cEZa8XWvchBUNmrkjLHm71sinpJFutPr7+zV+/PiQZ5N/NHNHWPJ2rZFPRYNm7ghL3q41ilhJiXYMn/3sZ5PtGL7//e+rra1Nixcv9nXOyBWxgEIT5qfrAEA2yKfzH10tSbFYTPfff7/Ky8uT3xsYGNDrr7+u3//933c0O6B4kU8ArArz0wmtC6IdA0UsAACAERw+fFjS+ZVYb731lkpLS5PfKy0t1ZVXXql169a5mh4AAIBZQbRjoIgFAAAwgr1790qSbrvtNj3yyCOqqKhwPCMAAIDCEEQ7BopYgGv0dABgFfmUtG3bNtdTADAY+QTAKnpiBdqOITJFLBq6Iyz5vtbo6RB9NHRHWPJ9rZFP0UdDd4Ql39ca+RR9NHRHWPJ9rdETK9h2DJEpYgEAAAAAAMCtINsxUMQCLIhIxR1ABJFPAKwinwBYRT5JCqYdA0UswDV6OgCwinwCYBX5BMAqemIFiiIW4Bg9HQBYRT4BsIp8AmAVPbGCVdBFLJq529ca3+F6CnkR6LXGO4mRRDN3+/ac3u56CnkR6LVGPkUSzdztK6ltdz2FvAj0WiOfIolm7vY11ne5nkJeBHqtsRIrUCWuJwAAAAAAAACMpqBXYgFRwHJ4AFaRTwCsIp8AWMV2wmBRxAJcYzk8AKvIJwBWkU8ArGI7YaAKrohFHyxEDjdhkUEfLEQO+RQZ9MFC5JBPkUEfLEQORaxA0RMLAAAAAAAA5hXcSiwgaujpAMAq8gmAVeQTAKvoiRUsiliAayyHB2AV+QTAKvIJgFVsJwwURSzANW7CAFhFPgGwinwCYBVFrECZLmLRxB0uhXX9sRy+MNHEHS6Fdf2RT4WJJu5wKazrj3wqTDRxh0thXX9sJwwWjd0BAAAAAABgnumVWEBRYDk8AKvIJwBWkU8ArGI7YaAoYgGOsRwegFXkEwCryCcAVrGdMFgUsQDXeCcRgFXkEwCryCcAVrESK1Dmilg0c4dLTq4/bsIKBs3c4ZKT6498Khg0c4dLTq4/8qlg0MwdLjm5/ihiBYrG7gAAAAAAADDP3EosoNjEPjr8jAOAIJFPAKwinwBY5TefEmORHkUswDWWwwOwinwCYBX5BMAqthMGiu2EgGOJT6/wcwTlvffe07Jly1RZWanKykotW7ZM77//ftoxt956q2KxWMoxe/bs4CYJIHDkEwCrLOaTREYByC2fuIcanYmVWDRzj67Bv9vW+A6HM0mPazDVV77yFf3qV7/Sj370I0nSV7/6VS1btkw//OEP04677rrrtG3btuTXpaWlgc4zDDRzj67Bv9s9p7c7nEl6XIOpyKeP0cw9ugb/bktq2x3OJD2uwaHIqPNo5h5dg3+3jfVdDmeSHtfgUFHJJxNFLKCoGVsO//bbb+tHP/qRDh48qKuvvlqS9MQTT6ipqUlHjx7VtGnTRhxbVlam2traYCYGIHzkEwCrjOWTREYB+IjB7YRRyie2EwIWeD6OgBw4cECVlZXJcJOk2bNnq7KyUq+99lrasfv27VN1dbWmTp2qlStX6sSJE8FNFEA4yCcAVhnKJ4mMAjCIn3ziHiojrMQCHPO79zkxpre3N+XxsrIylZWV+Z5Pd3e3qqurhzxeXV2t7u7uEcc1NzdryZIlamho0LFjx/SNb3xD1157rd54442c5gPAHfIJgFXW8kkiowCcl0tvK+6hRuesiEUPIuRLwV9LOS6Hr6+vT3n4gQce0Pr164c8ff369dqwYUPaUx46dEiSFIsN/XBXz/OGfTxh6dKlyf89Y8YMzZo1Sw0NDdq1a5cWL16c9nWtoQcR8qXgryXyyRx6ECFfCv5aCimfJDIqU/QgQr4U/LWUh+2E3EONjJVYQIHr7OxURUVF8uuRKuJ33XWXbr755rTnmjx5sv7zP/9Tv/71r4d873//939VU1OT8bzq6urU0NCg9na7DWkBBIt8AmBVpvkkkVEAwsc91MgoYgGO5bocvqKiIiXgRlJVVaWqqqpRn9fU1KSenh79+7//uz73uc9Jkl5//XX19PRozpw5Gc/v1KlT6uzsVF1dgb+TAhQx8gmAVWHlk0RGAchOPrYTcg81Mhq7A675bfoXUOO/6dOn67rrrtPKlSt18OBBHTx4UCtXrtQXv/jFlE+tuPzyy/X8889Lkvr7+7Vu3TodOHBA7777rvbt26frr79eVVVVuvHGG4OZKIDgkU8ArDKWTxIZBeAjueQT91CjoogFOJao1Ps5gvK9731Pn/nMZ7RgwQItWLBAv/d7v6ft27enPOfo0aPq6emRJI0ZM0ZvvfWWvvSlL2nq1Klavny5pk6dqgMHDmjixInBTRRAoMgnAFZZzCeJjAKQWz5xDzW60LcTFnwTbvg2+HffGt+Rt/OOdi6uuexdeOGF+u53v5v2OZ73ccJOmDBBe/bsCXpagSv4JtzwbfDvfs/p7WmemZ3RzsU1l71izaeCb8IN3wb/7ktq89eDZLRzcc35U4wZVfBNuOHb4N99Y31X3s472rm45vyJSj7REwtwze+y0YDfSQQA8gmAWeQTAKty2RZIRo2KIhbgGjdhAKwinwBYRT4BsIoiVqAoYgGO5frpOgAQFPIJgFXkEwCr8vHphBgZRSzANd5JBGAV+QTAKvIJgFWsxAoURSw4MVyz9Xw2ex/pvDR5BzCa4Zqt57P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", 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    " + "
    " ] }, "metadata": {}, @@ -2001,9 +1951,9 @@ ")\n", "ax_dict[\"C\"].set_title(\"Exposure\")\n", "\n", - "# # Plot Extents\n", - "# ds[\"extents\"].astype(np.int16).plot.imshow(ax=ax_dict[\"D\"])\n", - "# ax_dict[\"D\"].set_title(\"Extents\")\n", + "# Plot Extents\n", + "ds[\"extents\"].astype(np.int16).plot.imshow(ax=ax_dict[\"D\"])\n", + "ax_dict[\"D\"].set_title(\"Extents\")\n", "\n", "# Plot the observation spread\n", "ds[\"ta_spread\"].where(ds.elevation.notnull()).plot.imshow(\n", @@ -2108,7 +2058,7 @@ }, { "cell_type": "markdown", - "id": "7a6d3a04", + "id": "1c4e2f2f", "metadata": { "tags": [] }, @@ -2118,8 +2068,8 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "6ee0d26b", + "execution_count": 17, + "id": "709274f2", "metadata": {}, "outputs": [], "source": [ @@ -2137,8 +2087,8 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "2cef22b7", + "execution_count": 18, + "id": "42d6814d", "metadata": {}, "outputs": [], "source": [ @@ -2148,7 +2098,7 @@ }, { "cell_type": "markdown", - "id": "c46c62fe", + "id": "3d18102b", "metadata": { "tags": [] }, @@ -2158,8 +2108,8 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "01475d17", + "execution_count": 19, + "id": "b1f2c3f2", "metadata": {}, "outputs": [], "source": [ diff --git a/tests/README.md b/tests/README.md index 313b16d..56d0143 100644 --- a/tests/README.md +++ b/tests/README.md @@ -10,7 +10,7 @@ Integration tests This directory contains tests that are run to verify that DEA Intertidal code runs correctly. The ``test_intertidal.py`` file runs a small-scale full workflow analysis over an intertidal flat in the Gulf of Carpentaria using the DEA Intertidal [Command Line Interface (CLI) tools](../notebooks/Intertidal_CLI.ipynb), and compares these results against a LiDAR validation DEM to produce some simple accuracy metrics. -The latest integration test completed at **2024-08-07 16:18**. Compared to the previous run, it had an: +The latest integration test completed at **2024-08-23 09:54**. Compared to the previous run, it had an: - RMSE accuracy of **0.14 m ( :heavy_minus_sign: no change)** - MAE accuracy of **0.12 m ( :heavy_minus_sign: no change)** - Bias of **0.12 m ( :heavy_minus_sign: no change)** diff --git a/tests/validation.csv b/tests/validation.csv index 127f27d..2681fe7 100644 --- a/tests/validation.csv +++ b/tests/validation.csv @@ -62,3 +62,6 @@ time,Correlation,RMSE,MAE,R-squared,Bias,Regression slope 2024-08-06 00:52:52.014685+00:00,0.975,0.141,0.121,0.95,0.116,1.11 2024-08-07 00:47:40.113410+00:00,0.975,0.141,0.121,0.95,0.116,1.11 2024-08-07 06:18:55.439743+00:00,0.975,0.141,0.121,0.95,0.116,1.11 +2024-08-22 02:43:49.292628+00:00,0.975,0.141,0.121,0.95,0.116,1.11 +2024-08-22 05:41:31.102000+00:00,0.975,0.141,0.121,0.95,0.116,1.11 +2024-08-22 23:54:49.456210+00:00,0.975,0.141,0.121,0.95,0.116,1.11 diff --git a/tests/validation.jpg b/tests/validation.jpg index a12c2a0..91ed615 100644 Binary files a/tests/validation.jpg and b/tests/validation.jpg differ
    \n", - " Comm: tcp://127.0.0.1:35067\n", + " Comm: tcp://127.0.0.1:40365\n", " \n", - " Total threads: 2\n", + " Total threads: 7\n", "
    \n", - " Dashboard: /user/claire.phillips@ga.gov.au/proxy/46203/status\n", + " Dashboard: /user/claire.phillips@ga.gov.au/proxy/40679/status\n", " \n", - " Memory: 12.21 GiB\n", + " Memory: 59.21 GiB\n", "
    \n", - " Nanny: tcp://127.0.0.1:44257\n", + " Nanny: tcp://127.0.0.1:39863\n", "
    \n", - " Local directory: /tmp/dask-scratch-space/worker-yqrlfoj1\n", + " Local directory: /tmp/dask-scratch-space/worker-h2ecmu6p\n", "