{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import cmocean.cm as cm\n", "import datetime as dt\n", "import matplotlib.pyplot as plt\n", "from matplotlib.colors import LogNorm\n", "import numpy as np\n", "import pandas as pd\n", "import xarray as xr\n", "from salishsea_tools import viz_tools\n", "import os" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "cmap = cm.rain #'pink_r'#cm.rain #cm.ice_r #'ocean_r' #'pink_r'" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "foramt = \"{:.3}\"\n", "myformat = {'bias': foramt, 'rmse': foramt, 'crmse':foramt, 'swillmott': foramt, 'slopedev': foramt, 'const': foramt,\n", " 'systematic': foramt, 'nonsystematic':foramt, \n", " 'spread': foramt}\n", "\n", "def use_f_2(x):\n", " return \"%.2f\" % x" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "def bias(df, obs, mod):\n", " diffy = df[mod] - df[obs]\n", " return diffy.count(), diffy.mean()\n", "\n", "def rmse(df, obs, mod):\n", " return (np.sqrt(((df[mod] - df[obs])**2).mean()))\n", "\n", "def crmse(rmse, bias):\n", " return (np.sqrt(rmse**2 - bias**2))\n", "\n", "def swillmott(df, obs, mod):\n", " meanobs = df[obs].mean()\n", " return 1- (((df[mod] - df[obs])**2).sum()\n", " /(( (df[mod] - meanobs).abs() + (df[obs] - meanobs).abs() )**2).sum())\n", " \n", "def slope_inter(df, obs, mod):\n", " X = df[obs]\n", " y = df[mod]\n", " X = sm.add_constant(X)\n", "\n", " # Fit and make the predictions by the model\n", " model = sm.OLS(y, X, missing='drop').fit()\n", "# print (model.summary())\n", " predictions = model.predict(X)\n", " \n", " nonsyst = np.sqrt(((y - predictions)**2).mean())\n", " systematic = np.sqrt(((predictions - df[obs])**2).mean())\n", " return model.params[obs], model.params['const'], systematic, nonsyst\n", "\n", "def wolfram_perp(df, obsin, modin):\n", " \n", " mod = np.array(df[modin][(df[modin] == df[modin]) & (df[obsin] == df[obsin])])\n", " obs = np.array(df[obsin][(df[modin] == df[modin]) & (df[obsin] == df[obsin])])\n", " \n", " n = mod.shape[0]\n", "\n", " y2s = (mod**2).sum()\n", " ys = mod.sum()\n", " x2s = (obs**2).sum()\n", " xs = obs.sum()\n", " xys = (mod * obs).sum()\n", " B = 0.5 * ( (y2s - ys**2/n) - (x2s - xs**2/n)) / (xs * ys/n - xys)\n", " b1 = -B + np.sqrt(B*B + 1)\n", " a1 = (ys - b1*xs)/n\n", " predictions = a1 + b1 * df[obsin]\n", " \n", " nonsyst = np.sqrt(((df[modin] - predictions)**2).mean())\n", " systematic = np.sqrt(((predictions - df[obsin])**2).mean())\n", " \n", " return a1, b1, systematic, nonsyst\n", "\n", "def spread(df, obs, mod):\n", " return 1 - ((df[mod] - df[mod].mean())**2).mean() / ((df[obs] - df[obs].mean())**2).mean() \n", "\n", "def read_pieces(pieces):\n", " temp1 = pd.read_csv(pieces[0])\n", " for piece in pieces[1:]:\n", " nextpiece = pd.read_csv(piece)\n", " if 'ferry' in piece:\n", " nextpiece['k'] = 0\n", " temp1 = pd.concat([temp1, nextpiece], ignore_index=True)\n", "# temp1['SA'] = temp1.SA.fillna(value=temp1['salinity (g/kg)'])\n", " return temp1\n", "\n", "def filter_bad_data(temp1):\n", "# bad data in Puget Sound (pugts)\n", " temp1_nohook = temp1[(temp1.Lat > 47.30) | (temp1.Lon < -122.5) | (temp1.Z < 5) | (temp1.SA > 26) ]\n", "# bad onc data\n", " # temp1_nobox_nohook = temp1_nohook[(temp1_nohook['depth (m)'] != 107) | (temp1_nohook.SA > 29)]\n", "# bad ferry data\n", " # temp1_clean = temp1_nobox_nohook[((temp1_nobox_nohook.SA > 0.2) | (temp1_nobox_nohook.mod_vosaline - temp1_nobox_nohook.SA < 20)) \n", " # & ((temp1_nobox_nohook.Lon > -123.8) | (temp1_nobox_nohook.SA > 14))]\n", " return temp1_nohook\n", "\n", "def plot_and_stats(temp1, name, idepth, jdepth, fig, ax, whichdepths, reverse, string, boxes=False, box=None, boxname=None):\n", " print (temp1[temp1.k <= idepth])\n", " if boxes: # boxes for sebregion box\n", " corn = box\n", " select = temp1[(temp1.k >= idepth) & (temp1.k <= jdepth) &\n", " (temp1.j >= corn[0]) & (temp1.j <= corn[1]) &\n", " (temp1.i >= corn[2]) & (temp1.i <= corn[3])]\n", " shift_text = 0.94\n", " else:\n", " select = temp1[(temp1.k >= idepth) & (temp1.k < jdepth)]\n", " shift_text = 1\n", " \n", " print (swillmott(select, 'SA', 'mod_vosaline'))\n", " \n", " if reverse:\n", " one = modn\n", " two = obsn\n", " else:\n", " one = obsn\n", " two = modn\n", " \n", " counts, xedges, yedges, color = ax.hist2d(select[one], \n", " select[two], \n", " bins=np.arange(vmin, vmax, dbin), norm=LogNorm(), cmap=cmap);\n", " fig.colorbar(color, ax=ax)\n", " \n", " #calculate stats\n", " number, tbias = bias(select, one, two)\n", " trmse = rmse(select, one, two)\n", " tcrmse = crmse(trmse, tbias)\n", " tswillmott = swillmott(select, one, two)\n", "# m, c, syst, nonsyst = slope_inter(select, one, two)\n", " a1, b1, syst, nonsyst = wolfram_perp(select, one, two)\n", " tspread = spread(select, one, two)\n", " ax.plot([vmin, vmax], [vmin, vmax], 'k-');\n", " xr = np.arange(vmin, vmax, 0.5)\n", "# ax.plot(xr, c + m * xr, 'r-');\n", " ax.plot(xr, a1 + b1 * xr, 'r-')\n", " sc = scale/12\n", " sh = 2*sc-1\n", " bot = scale\n", " top = bot + 2*sh\n", " # ax.arrow(sc+vmin, bot+vmin, 0, sh-np.abs(tbias)/2, head_width=0.5*sc, head_length=0.2*sc, length_includes_head=True)\n", " # ax.arrow(sc+vmin, top+vmin, 0, -sh+np.abs(tbias)/2, head_width=0.5*sc, head_length=0.2*sc, length_includes_head=True)\n", " # ax.arrow(2*sc+vmin, bot+vmin, 0, sh-syst/2, head_width=0.5*sc, head_length=0.2*sc, length_includes_head=True)\n", " # ax.arrow(2*sc+vmin, top+vmin, 0, -sh+syst/2, head_width=0.5*sc, head_length=0.2*sc, length_includes_head=True)\n", " # ax.arrow(3*sc+vmin, bot+vmin, 0, sh-nonsyst/2, head_width=0.5*sc, head_length=0.2*sc, length_includes_head=True)\n", " # ax.arrow(3*sc+vmin, top+vmin, 0, -sh+nonsyst/2, head_width=0.5*sc, head_length=0.2*sc, length_includes_head=True);\n", " Cp2 = {'number': number,\n", " 'bias': tbias,\n", " 'rmse': trmse,\n", " 'crmse': tcrmse,\n", " 'swillmott': tswillmott,\n", " 'slopedev': 1-b1,\n", " 'const': a1,\n", " 'systematic': syst,\n", " 'nonsystematic': nonsyst,\n", " 'spread': tspread}\n", " # ax.text(0.8*sc+vmin, 0.9*bot*shift_text+vmin, 'bias', rotation=90)\n", " # ax.text(1.8*sc+vmin, 0.72*bot*shift_text+vmin-shift_text, 'systematic', rotation=90)\n", " # ax.text(2.8*sc+vmin, 0.6*bot*shift_text+vmin-shift_text, 'non-systematic', rotation=90)\n", " \n", " ax.set_title(f'{name}, {field} {whichdepths}{string}');\n", " dCp2 = pd.DataFrame(data=Cp2, index=[name])\n", " return dCp2, counts\n", "\n", "def highlight_max_min(s):\n", " '''\n", " highlight the maximum in a Series yellow.\n", " '''\n", "\n", " is_max = abs(s) == abs(s).max()\n", " is_min = abs(s) == abs(s).min()\n", " color = []\n", " for v, v2 in zip(is_max, is_min):\n", " if v:\n", " color.append('red')\n", " elif v2:\n", " color.append('darkgreen')\n", " else:\n", " color.append('black')\n", " return ['color: %s' % color[i] for i in range(len(is_max))]\n", "\n", "def plot_allyears(years, years_psf, years_pug, years_onc, years_ferry, idepth, jdepth, whichdepths, reverse=False):\n", " if reverse:\n", " string = '_reverse'\n", " else:\n", " string = ''\n", " fig, axs = plt.subplots(1, 2, figsize=(12, 5))\n", " startyear = min(years)# years_psf[0], years_pug[0]), years_onc[0])\n", " endyear = max(years) #years_psf[-1], years_pug[-1]), years_onc[-1])\n", " fig.suptitle(f'Year {startyear}-{endyear}')\n", " print (idepth, jdepth)\n", " pieces1 = []\n", " for year in years:\n", " pieces1.append(\n", " f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_CIOOS_{year}0101_{year}1231.csv')\n", " # for year in years_psf:\n", " # pieces1.append(\n", " # f'//data/sallen/results/MEOPAR/202111/ObsModel/ObsModel_201905R_psfts_{year}0101_{year}1231.csv')\n", " # for year in years_pug:\n", " # pieces1.append(\n", " # f'/data/sallen/results/MEOPAR/202111/ObsModel/ObsModel_201905R_pugts_{year}0101_{year}1231.csv')\n", " # # f'/data/sallen/results/MEOPAR/202111/ObsModel/ObsModel_201905R_pugts_{year}0101_{year}1231.csv')\n", " # for year in years_onc:\n", " # pieces1.append(\n", " # f'/data/sallen/results/MEOPAR/202111/ObsModel/ObsModel_201905R_onc_{year}0101_{year}1231.csv')\n", " # for year in years_ferry:\n", " # pieces1.append(\n", " # f'/data/sallen/results/MEOPAR/202111/ObsModel/ObsModel_201905R_ferry_{year}0101_{year}1231.csv')\n", " temp1 = read_pieces(pieces1)\n", " d202111, counts1 = plot_and_stats(filter_bad_data(temp1), '202111', idepth, jdepth, fig, axs[0], whichdepths, reverse, string)\n", "\n", " alltogether = d202111\n", " \n", " fig.savefig(f'{whichdepths}_{field}{string}_201905_202111_for_allyears.png')\n", " \n", " # f = open(f'./{whichdepths}_{field}{string}_201905_202111_for_allyears_table.tex', 'w')\n", " # f.write(alltogether.to_latex(column_format='lcccccccccc', \n", " # formatters=[None, use_f_2, use_f_2, use_f_2, use_f_2, use_f_2, use_f_2, use_f_2, use_f_2, use_f_2]))\n", " # f.close()\n", " return alltogether, counts1\n", "\n", "\n", "def get_stats(temp1, name, idepth, jdepth, whichdepths, reverse, string, boxes=False, box=None, boxname=None):\n", " if boxes: # boxes for sebregion box\n", " corn = box\n", " select = temp1[(temp1.k >= idepth) & (temp1.k <= jdepth) &\n", " (temp1.j >= corn[0]) & (temp1.j <= corn[1]) &\n", " (temp1.i >= corn[2]) & (temp1.i <= corn[3])]\n", " shift_text = 0.94\n", " else:\n", " select = temp1[(temp1.k >= idepth) & (temp1.k < jdepth)]\n", " shift_text = 1\n", " \n", " if reverse:\n", " one = modn\n", " two = obsn\n", " else:\n", " one = obsn\n", " two = modn\n", " \n", " #calculate stats\n", " number, tbias = bias(select, one, two)\n", " trmse = rmse(select, one, two)\n", " tcrmse = crmse(trmse, tbias)\n", " tswillmott = swillmott(select, one, two)\n", " a1, b1, syst, nonsyst = wolfram_perp(select, one, two)\n", " tspread = spread(select, one, two)\n", " xr = np.arange(vmin, vmax, 0.5)\n", " sc = scale/12\n", " sh = 2*sc-1\n", " bot = scale\n", " top = bot + 2*sh\n", "\n", " Cp2 = {'number': number,\n", " 'bias': tbias,\n", " 'rmse': trmse,\n", " 'crmse': tcrmse,\n", " 'swillmott': tswillmott,\n", " 'slopedev': 1-b1,\n", " 'const': a1,\n", " 'systematic': syst,\n", " 'nonsystematic': nonsyst,\n", " 'spread': tspread}\n", "\n", " dCp2 = pd.DataFrame(data=Cp2, index=[name])\n", " return dCp2\n", "\n", "def get_combined(years, years_nanoos, years_ros, years_onc, years_ros_ios, idepth, jdepth, whichdepths, reverse=False,straitn='all'):\n", " if reverse:\n", " string = '_reverse'\n", " else:\n", " string = ''\n", " \n", " pieces1 = []\n", " for year in years:\n", " pieces1.append(\n", " f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_CIOOS_{year}0101_{year}1231.csv')\n", " for year in years_nanoos:\n", " file_path1 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_NANOOS_{year}0101_{year}1231.csv'\n", " file_path2 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_NANOOS_{year}0101_{year}0131.csv'\n", " \n", " if os.path.exists(file_path1):\n", " pieces1.append(file_path1)\n", " if os.path.exists(file_path2):\n", " pieces1.append(file_path2)\n", " for year in years_ros:\n", " \n", " file_path1 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_NANOOS_ros_{year}1001_{year}1231.csv'\n", " file_path2 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_NANOOS_ros_{year}0101_{year}0131.csv'\n", " \n", " if os.path.exists(file_path1):\n", " pieces1.append(file_path1)\n", " if os.path.exists(file_path2):\n", " pieces1.append(file_path2)\n", " # for year in years_pug:\n", " # pieces1.append(\n", " # f'/data/sallen/results/MEOPAR/202111/ObsModel/ObsModel_201905R_pugts_{year}0101_{year}1231.csv')\n", " # # f'/data/sallen/results/MEOPAR/202111/ObsModel/ObsModel_201905R_pugts_{year}0101_{year}1231.csv')\n", " for year in years_onc:\n", " file_path1 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc_{year}0101_{year}1231.csv'\n", " file_path2 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc_{year}0101_{year}0331.csv'\n", " file_path3 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc_{year}0401_{year}1031.csv'\n", " file_path4 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc_{year}1001_{year}1231.csv'\n", " file_path5 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc_{year}0101_{year}0430.csv'\n", "\n", " if os.path.exists(file_path1):\n", " pieces1.append(file_path1)\n", " if os.path.exists(file_path2):\n", " pieces1.append(file_path2)\n", " if os.path.exists(file_path3):\n", " pieces1.append(file_path3)\n", " if os.path.exists(file_path4):\n", " pieces1.append(file_path4)\n", " if os.path.exists(file_path5):\n", " pieces1.append(file_path5)\n", " \n", " for year in years_ros_ios:\n", " if straitn == 'all':\n", " for ii in ['ros','haro2','ejdf2','ssog2']:\n", " pieces1.append(\n", " f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_CIOOS_{ii}_{year}0101_{year}1231.csv')\n", " \n", " else: \n", " pieces1.append(\n", " f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_CIOOS_{straitn}_{year}0101_{year}1231.csv')\n", " \n", " \n", " temp1 = read_pieces(pieces1)\n", " data_filter = temp1[temp1[modn].notna()]\n", " d202111 = get_stats(filter_bad_data(data_filter),field , idepth, jdepth, whichdepths, reverse, string)\n", " \n", " return data_filter,d202111\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Haro" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
Salinity124284-0.1060.360.3440.96-0.0858-2.790.130.351-0.164
\n" ], "text/plain": [ "" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "field = 'Salinity'\n", "obsn = 'SA'\n", "modn = 'mod_vosaline'\n", "vmax = 34\n", "vmin = 30\n", "dbin = 0.4\n", "scale = 24\n", "\n", "idepth = 0\n", "jdepth = 39\n", "\n", "sal_data_haro,d_sal_haro = get_combined([]#[2017,2018,2019,2020,2021,2022]\n", " , []\n", " , []\n", " , []#[2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022]\n", " , np.arange(2007,2024,1)\n", " , idepth, jdepth, 'alldepths',straitn='haro2')\n", "\n", "d_sal_haro.style.format(myformat).apply(highlight_max_min)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
Salinity124284-0.1060.360.3440.96-0.0858-2.790.130.351-0.164
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
Temperature124284-0.08040.3160.3050.973-0.0279-0.3350.08480.308-0.0575
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "field = 'Temperature'\n", "obsn = 'consT'\n", "modn = 'mod_votemper'\n", "vmax = 16\n", "vmin = 5\n", "dbin = 0.2\n", "scale = 24\n", "straitn = 'haro'\n", "\n", "idepth = 0\n", "jdepth = 39\n", "theta_sym = '\\u03B8'\n", "\n", "temp_data_haro,d_temp_haro = get_combined([]#[2017,2018,2019,2020,2021,2022]\n", " , []#[2015, 2016, 2017]\n", " , []#[2015, 2016, 2017, 2018]\n", " , []#[2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]\n", " , np.arange(2007,2024,1)\n", " , idepth, jdepth, 'alldepths',straitn='haro2')\n", "\n", "display(d_sal_haro.style.format(myformat).apply(highlight_max_min))\n", "display(d_temp_haro.style.format(myformat).apply(highlight_max_min))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Rosario" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
Salinity3150-0.04780.2850.2810.953-0.0689-2.150.06530.287-0.129
\n" ], "text/plain": [ "" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "field = 'Salinity'\n", "obsn = 'SA'\n", "modn = 'mod_vosaline'\n", "vmax = 34\n", "vmin = 30\n", "dbin = 0.4\n", "scale = 24\n", "\n", "idepth = 0\n", "jdepth = 39\n", "\n", "sal_data_ros,d_sal_ros = get_combined([]#[2017,2018,2019,2020,2021,2022]\n", " , []\n", " , []\n", " , []#[2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022]\n", " , np.arange(2007,2023,1)\n", " , idepth, jdepth, 'alldepths',straitn='ros')\n", "\n", "d_sal_ros.style.format(myformat).apply(highlight_max_min)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
Salinity3150-0.04780.2850.2810.953-0.0689-2.150.06530.287-0.129
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
Temperature31500.03530.2770.2750.982-0.0249-0.2050.04370.277-0.0487
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "field = 'Temperature'\n", "obsn = 'consT'\n", "modn = 'mod_votemper'\n", "vmax = 15\n", "vmin = 5\n", "dbin = 0.2\n", "scale = 24\n", "straitn = 'ros'\n", "\n", "idepth = 0\n", "jdepth = 39\n", "theta_sym = '\\u03B8'\n", "\n", "temp_data_ros,d_temp_ros = get_combined([]#[2017,2018,2019,2020,2021,2022]\n", " , []#[2015, 2016, 2017]\n", " , []#[2015, 2016, 2017, 2018]\n", " , []#[2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]\n", " , np.arange(2007,2023,1)\n", " , idepth, jdepth, 'alldepths',straitn='ros')\n", "\n", "display(d_sal_ros.style.format(myformat).apply(highlight_max_min))\n", "display(d_temp_ros.style.format(myformat).apply(highlight_max_min))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Eastern JdF" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
Salinity53198-0.1050.3810.3660.955-0.0362-1.260.110.372-0.0678
\n" ], "text/plain": [ "" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "field = 'Salinity'\n", "obsn = 'SA'\n", "modn = 'mod_vosaline'\n", "vmax = 34\n", "vmin = 30\n", "dbin = 0.4\n", "scale = 24\n", "\n", "idepth = 0\n", "jdepth = 39\n", "\n", "sal_data_ejdf,d_sal_ejdf = get_combined([]#[2017,2018,2019,2020,2021,2022]\n", " , []\n", " , []\n", " , []#[2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022]\n", " , np.arange(2007,2023,1)\n", " , idepth, jdepth, 'alldepths',straitn='ejdf2')\n", "\n", "d_sal_ejdf.style.format(myformat).apply(highlight_max_min)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
Salinity53198-0.1050.3810.3660.955-0.0362-1.260.110.372-0.0678
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
Temperature53198-0.03460.3990.3980.957-0.0418-0.4040.05310.404-0.0782
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "field = 'Temperature'\n", "obsn = 'consT'\n", "modn = 'mod_votemper'\n", "vmax = 15\n", "vmin = 5\n", "dbin = 0.2\n", "scale = 24\n", "straitn = 'ejdf'\n", "\n", "idepth = 0\n", "jdepth = 39\n", "theta_sym = '\\u03B8'\n", "\n", "temp_data_ejdf,d_temp_ejdf = get_combined([]#[2017,2018,2019,2020,2021,2022]\n", " , []#[2015, 2016, 2017]\n", " , []#[2015, 2016, 2017, 2018]\n", " , []#[2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]\n", " , np.arange(2007,2023,1)\n", " , idepth, jdepth, 'alldepths',straitn='ejdf2')\n", "\n", "display(d_sal_ejdf.style.format(myformat).apply(highlight_max_min))\n", "display(d_temp_ejdf.style.format(myformat).apply(highlight_max_min))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Southern SoG" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
Salinity1421870.04560.5130.5110.9520.010.3480.04720.5080.0203
\n" ], "text/plain": [ "" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "field = 'Salinity'\n", "obsn = 'SA'\n", "modn = 'mod_vosaline'\n", "vmax = 34\n", "vmin = 30\n", "dbin = 0.4\n", "scale = 24\n", "\n", "idepth = 0\n", "jdepth = 39\n", "\n", "sal_data_sog,d_sal_sog = get_combined([]#[2017,2018,2019,2020,2021,2022]\n", " , []\n", " , []\n", " , []#[2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022]\n", " , np.arange(2007,2024,1)\n", " , idepth, jdepth, 'alldepths',straitn='ssog2')\n", "\n", "d_sal_sog.style.format(myformat).apply(highlight_max_min)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "field = 'Temperature'\n", "obsn = 'consT'\n", "modn = 'mod_votemper'\n", "vmax = 20\n", "vmin = 4\n", "dbin = 0.2\n", "scale = 24\n", "straitn = 'ssog'\n", "\n", "idepth = 0\n", "jdepth = 39\n", "theta_sym = '\\u03B8'\n", "\n", "temp_data_sog,d_temp_sog = get_combined([]#[2017,2018,2019,2020,2021,2022]\n", " , []#[2015, 2016, 2017]\n", " , []#[2015, 2016, 2017, 2018]\n", " , []#[2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]\n", " , np.arange(2007,2024,1)\n", " , idepth, jdepth, 'alldepths',straitn='ssog2')\n" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
Salinity1421870.04560.5130.5110.9520.010.3480.04720.5080.0203
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
Temperature1421870.003290.4220.4220.970.03570.3370.04450.4120.063
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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "cmap = cm.dense\n", "from matplotlib.patheffects import withStroke\n", "plt.rcParams.update({'font.size': 13})\n", "vmax = 20\n", "vmin = 4\n", "dbin = 0.2\n", "\n", "fig,[[ax,ax3,ax5,ax7],[ax2,ax4,ax6,ax8]] = plt.subplots(2,4,figsize=(16,8),gridspec_kw={'width_ratios':[1,1,1,1.2]})\n", "counts, xedges, yedges, color = ax.hist2d(temp_data_ros['consT'],temp_data_ros['mod_votemper'], \n", " bins=np.arange(vmin, vmax, dbin), norm=LogNorm(), cmap=cmap);\n", "ax.set_xlabel(f'Observed {theta_sym} (°C)')\n", "ax.set_ylabel(f'Modelled {theta_sym} (°C)')\n", "# color.set_clim(vmax=1000)\n", "# fig.colorbar(color, ax=ax)\n", "ax.plot(np.arange(0,vmax,0.5),np.arange(0,vmax,0.5),color='k')\n", "a1,b1,stm,nstm = wolfram_perp(temp_data_ros,'consT','mod_votemper')\n", "line = a1+np.arange(vmin, vmax, 0.5)*b1\n", "ax.plot(np.arange(vmin, vmax, 0.5),line,'r')\n", "ax.set_ylim([4,20])\n", "ax.set_xlim([4,20])\n", "\n", "counts, xedges, yedges, color = ax2.hist2d(sal_data_ros['SA'],sal_data_ros['mod_vosaline'], \n", " bins=np.arange(20, 34, 0.2), norm=LogNorm(), cmap=cmap);\n", "ax2.set_xlabel('Observed salinity (g kg$^{{-1}}$)')\n", "ax2.set_ylabel('Modelled salinity (g kg$^{{-1}}$)')\n", "# color.set_clim(vmax=1000)\n", "# fig.colorbar(color, ax=ax2)\n", "ax2.plot(np.arange(20,34,0.2),np.arange(20,34,0.2),color='k')\n", "a1,b1,stm,nstm = wolfram_perp(sal_data_ros,'SA','mod_vosaline')\n", "line = a1+np.arange(20, 34, 0.2)*b1\n", "ax2.plot(np.arange(20, 34, 0.2),line,'r')\n", "ax2.set_ylim([20,34])\n", "ax2.set_xlim([20,34])\n", "\n", "counts, xedges, yedges, color = ax3.hist2d(temp_data_haro['consT'],temp_data_haro['mod_votemper'], \n", " bins=np.arange(vmin, vmax, dbin), norm=LogNorm(), cmap=cmap);\n", "ax3.set_xlabel(f'Observed {theta_sym} (°C)')\n", "# ax3.set_ylabel(f'Modelled {theta_sym} (°C)')\n", "# color.set_clim(vmax=1000)\n", "# fig.colorbar(color, ax=ax3)\n", "ax3.plot(np.arange(0,vmax,0.5),np.arange(0,vmax,0.5),color='k')\n", "a1,b1,stm,nstm = wolfram_perp(temp_data_haro,'consT','mod_votemper')\n", "line = a1+np.arange(vmin, vmax, 0.5)*b1\n", "ax3.plot(np.arange(vmin, vmax, 0.5),line,'r')\n", "ax3.set_ylim([4,20])\n", "ax3.set_xlim([4,20])\n", "ax3.set_yticklabels([])\n", "\n", "counts, xedges, yedges, color = ax4.hist2d(sal_data_haro['SA'],sal_data_haro['mod_vosaline'], \n", " bins=np.arange(20, 34, 0.2), norm=LogNorm(), cmap=cmap);\n", "ax4.set_xlabel('Observed salinity (g kg$^{{-1}}$)')\n", "# ax4.set_ylabel('Modelled salinity (g/kg)')\n", "# color.set_clim(vmax=1000)\n", "# fig.colorbar(color, ax=ax4)\n", "ax4.plot(np.arange(20,34,0.1),np.arange(20,34,0.1),color='k')\n", "a1,b1,stm,nstm = wolfram_perp(sal_data_haro,'SA','mod_vosaline')\n", "line = a1+np.arange(20, 34, 0.1)*b1\n", "ax4.plot(np.arange(20, 34, 0.1),line,'r')\n", "ax4.set_ylim([20,34])\n", "ax4.set_xlim([20,34])\n", "ax4.set_yticklabels([])\n", "\n", "counts, xedges, yedges, color = ax5.hist2d(temp_data_ejdf['consT'],temp_data_ejdf['mod_votemper'], \n", " bins=np.arange(vmin, vmax, dbin), norm=LogNorm(), cmap=cmap);\n", "ax5.set_xlabel(f'Observed {theta_sym} (°C)')\n", "# ax5.set_ylabel(f'Modelled {theta_sym} (°C)')\n", "# color.set_clim(vmax=1000)\n", "# fig.colorbar(color, ax=ax5)\n", "ax5.plot(np.arange(0,vmax,0.5),np.arange(0,vmax,0.5),color='k')\n", "a1,b1,stm,nstm = wolfram_perp(temp_data_ejdf,'consT','mod_votemper')\n", "line = a1+np.arange(vmin, vmax, 0.5)*b1\n", "ax5.plot(np.arange(vmin, vmax, 0.5),line,'r')\n", "ax5.set_ylim([4,20])\n", "ax5.set_xlim([4,20])\n", "ax5.set_yticklabels([])\n", "\n", "counts, xedges, yedges, color = ax6.hist2d(sal_data_ejdf['SA'],sal_data_ejdf['mod_vosaline'], \n", " bins=np.arange(20, 34, 0.2), norm=LogNorm(), cmap=cmap);\n", "ax6.set_xlabel('Observed salinity (g kg$^{{-1}}$)')\n", "# ax6.set_ylabel('Modelled salinity (g/kg)')\n", "# color.set_clim(vmax=1000)\n", "# fig.colorbar(color, ax=ax6)\n", "ax6.plot(np.arange(20, 34,0.1),np.arange(20, 34,0.1),color='k')\n", "a1,b1,stm,nstm = wolfram_perp(sal_data_ejdf,'SA','mod_vosaline')\n", "line = a1+np.arange(20, 34, 0.1)*b1\n", "ax6.plot(np.arange(20, 34, 0.1),line,'r')\n", "ax6.set_ylim([20,34])\n", "ax6.set_xlim([20,34])\n", "ax6.set_yticklabels([])\n", "\n", "counts, xedges, yedges, color = ax7.hist2d(temp_data_sog['consT'],temp_data_sog['mod_votemper'], \n", " bins=np.arange(vmin, 20, dbin), norm=LogNorm(), cmap=cmap);\n", "ax7.set_xlabel(f'Observed {theta_sym} (°C)')\n", "# ax7.set_ylabel(f'Modelled {theta_sym} (°C)')\n", "color.set_clim(vmax=1000)\n", "cb = fig.colorbar(color, ax=ax7)\n", "cb.set_label('Count')\n", "ax7.plot(np.arange(0,20,0.5),np.arange(0,20,0.5),color='k')\n", "a1,b1,stm,nstm = wolfram_perp(temp_data_sog,'consT','mod_votemper')\n", "line = a1+np.arange(vmin, 20, 0.5)*b1\n", "ax7.plot(np.arange(vmin, 20, 0.5),line,'r')\n", "ax7.set_ylim([4,20])\n", "ax7.set_xlim([4,20])\n", "ax7.set_yticklabels([])\n", "\n", "counts, xedges, yedges, color = ax8.hist2d(sal_data_sog['SA'],sal_data_sog['mod_vosaline'], \n", " bins=np.arange(20, 34, 0.2), norm=LogNorm(), cmap=cmap);\n", "ax8.set_xlabel(f'Observed salinity (g kg$^{{-1}}$)')\n", "# ax8.set_ylabel('Modelled salinity (g/kg)')\n", "color.set_clim(vmax=1000)\n", "cb = fig.colorbar(color, ax=ax8)\n", "cb.set_label('Count')\n", "ax8.plot(np.arange(20, 34,0.1),np.arange(20, 34,0.1),color='k')\n", "a1,b1,stm,nstm = wolfram_perp(sal_data_sog,'SA','mod_vosaline')\n", "line = a1+np.arange(20, 34, 0.1)*b1\n", "ax8.plot(np.arange(20, 34, 0.1),line,'r')\n", "ax8.set_ylim([20,34])\n", "ax8.set_xlim([20,34])\n", "ax8.set_yticklabels([])\n", "\n", "\n", "display(d_sal_sog.style.format(myformat).apply(highlight_max_min))\n", "display(d_temp_sog.style.format(myformat).apply(highlight_max_min))\n", "\n", "# ax.text(0.5, 0.9, 'Rosario Strait', ha='center', va='center', fontsize=16)\n", "# ax3.text(0.5, 0.7, 'Haro Strait', ha='center', va='center', fontsize=16)\n", "# ax5.text(0.5, 0.48, 'Eastern JdF', ha='center', va='center', fontsize=16)\n", "# ax7.text(0.5, 0.28, 'Southern SoG', ha='center', va='center', fontsize=16)\n", "\n", "ax.text(0.05, 0.9, \"Rosario Strait\", transform=ax.transAxes, fontsize=14)\n", "ax3.text(0.05, 0.9, \"Haro Strait\", transform=ax3.transAxes, fontsize=14)\n", "ax5.text(0.05, 0.9, \"Eastern JdF\", transform=ax5.transAxes, fontsize=14)\n", "ax7.text(0.05, 0.9, \"Southern SoG\", transform=ax7.transAxes, fontsize=14)\n", "\n", "met_ros_temp = f\"RMSE: {np.round(d_temp_ros['rmse'][0],2)} °C \\nWSS: {np.round(d_temp_ros['swillmott'][0],3)} \\nbias: {np.round(d_temp_ros['bias'][0],3)} °C\"\n", "ax.text(0.52, 0.05, met_ros_temp, transform=ax.transAxes, fontsize=10,bbox=dict(facecolor='None', edgecolor='black', pad=5))\n", "\n", "met_haro_temp = f\"RMSE: {np.round(d_temp_haro['rmse'][0],2)} °C \\nWSS: {np.round(d_temp_haro['swillmott'][0],3)} \\nbias: {np.round(d_temp_haro['bias'][0],2)} °C\"\n", "ax3.text(0.52, 0.05, met_haro_temp, transform=ax3.transAxes, fontsize=10,bbox=dict(facecolor='None', edgecolor='black', pad=5))\n", "\n", "met_ejdf_temp = f\"RMSE: {np.round(d_temp_ejdf['rmse'][0],2)} °C \\nWSS: {np.round(d_temp_ejdf['swillmott'][0],3)} \\nbias: {np.round(d_temp_ejdf['bias'][0],2)} °C\"\n", "ax5.text(0.52, 0.05, met_ejdf_temp, transform=ax5.transAxes, fontsize=10,bbox=dict(facecolor='None', edgecolor='black', pad=5))\n", "met_sog_temp = f\"RMSE: {np.round(d_temp_sog['rmse'][0],2)} °C \\nWSS: {np.round(d_temp_sog['swillmott'][0],3)} \\nbias: {np.round(d_temp_sog['bias'][0],2)} °C\"\n", "ax7.text(0.52, 0.05, met_sog_temp, transform=ax7.transAxes, fontsize=10,bbox=dict(facecolor='None', edgecolor='black', pad=5))\n", "\n", "met_ros_sal = f\"RMSE: {np.round(d_sal_ros['rmse'][0],2)} g kg$^{{-1}}$\\nWSS: {np.round(d_sal_ros['swillmott'][0],3)} \\nbias: {np.round(d_sal_ros['bias'][0],2)} g kg$^{{-1}}$\"\n", "ax2.text(0.5, 0.05, met_ros_sal, transform=ax2.transAxes, fontsize=10,bbox=dict(facecolor='None', edgecolor='black', pad=5))\n", "\n", "met_haro_sal = f\"RMSE: {np.round(d_sal_haro['rmse'][0],2)} g kg$^{{-1}}$\\nWSS: {np.round(d_sal_haro['swillmott'][0],3)} \\nbias: {np.round(d_sal_haro['bias'][0],2)} g kg$^{{-1}}$\"\n", "ax4.text(0.5, 0.05, met_haro_sal, transform=ax4.transAxes, fontsize=10,bbox=dict(facecolor='None', edgecolor='black', pad=5))\n", "\n", "met_ejdf_sal = f\"RMSE: {np.round(d_sal_ejdf['rmse'][0],2)} g kg$^{{-1}}$\\nWSS: {np.round(d_sal_ejdf['swillmott'][0],3)} \\nbias: {np.round(d_sal_ejdf['bias'][0],2)} g kg$^{{-1}}$\"\n", "ax6.text(0.5, 0.05, met_ejdf_sal, transform=ax6.transAxes, fontsize=10,bbox=dict(facecolor='None', edgecolor='black', pad=5))\n", "\n", "met_sog_sal = f\"RMSE: {np.round(d_sal_sog['rmse'][0],2)} g kg$^{{-1}}$\\nWSS: {np.round(d_sal_sog['swillmott'][0],3)} \\nbias: {np.round(d_sal_sog['bias'][0],2)} g kg$^{{-1}}$\"\n", "ax8.text(0.49, 0.05, met_sog_sal, transform=ax8.transAxes, fontsize=10,bbox=dict(facecolor='None', edgecolor='black', pad=5))\n", "\n", "# ax.text(0.45, -0.24, \"(a)\", transform=ax.transAxes)\n", "# ax3.text(0.45, -0.24, \"(b)\", transform=ax3.transAxes)\n", "# ax5.text(0.45, -0.24, \"(c)\", transform=ax5.transAxes)\n", "# ax7.text(0.45, -0.24, \"(d)\", transform=ax7.transAxes)\n", "\n", "# ax2.text(0.45, -0.24, \"(e)\", transform=ax2.transAxes)\n", "# ax4.text(0.45, -0.24, \"(f)\", transform=ax4.transAxes)\n", "# ax6.text(0.45, -0.24, \"(g)\", transform=ax6.transAxes)\n", "# ax8.text(0.45, -0.24, \"(h)\", transform=ax8.transAxes)\n", "\n", "# Adjust layout\n", "fig.subplots_adjust(wspace=0.1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Currents" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "def bias(df, obs, mod):\n", " diffy = df[mod] - df[obs]\n", " return diffy.count(), diffy.mean()\n", "\n", "def rmse(df, obs, mod):\n", " return (np.sqrt(((df[mod] - df[obs])**2).mean()))\n", "\n", "def crmse(rmse, bias):\n", " return (np.sqrt(rmse**2 - bias**2))\n", "\n", "def swillmott(df, obs, mod):\n", " meanobs = df[obs].mean()\n", " return 1 - (((df[mod] - df[obs])**2).sum()\n", " /(( (df[mod] - meanobs).abs() + (df[obs] - meanobs).abs() )**2).sum())\n", " \n", "def slope_inter(df, obs, mod):\n", " X = df[obs]\n", " y = df[mod]\n", " X = sm.add_constant(X)\n", "\n", " # Fit and make the predictions by the model\n", " model = sm.OLS(y, X, missing='drop').fit()\n", "# print (model.summary())\n", " predictions = model.predict(X)\n", " \n", " nonsyst = np.sqrt(((y - predictions)**2).mean())\n", " systematic = np.sqrt(((predictions - df[obs])**2).mean())\n", " return model.params[obs], model.params['const'], systematic, nonsyst\n", "\n", "def wolfram_perp(df, obsin, modin):\n", " \n", " mod = np.array(df[modin][(df[modin] == df[modin]) & (df[obsin] == df[obsin])])\n", " obs = np.array(df[obsin][(df[modin] == df[modin]) & (df[obsin] == df[obsin])])\n", " \n", " n = mod.shape[0]\n", "\n", " y2s = (mod**2).sum()\n", " ys = mod.sum()\n", " x2s = (obs**2).sum()\n", " xs = obs.sum()\n", " xys = (mod * obs).sum()\n", " B = 0.5 * ( (y2s - ys**2/n) - (x2s - xs**2/n)) / (xs * ys/n - xys)\n", " b1 = -B + np.sqrt(B*B + 1)\n", " a1 = (ys - b1*xs)/n\n", " predictions = a1 + b1 * df[obsin]\n", " \n", " nonsyst = np.sqrt(((df[modin] - predictions)**2).mean())\n", " systematic = np.sqrt(((predictions - df[obsin])**2).mean())\n", " \n", " return a1, b1, systematic, nonsyst\n", "\n", "def wolfram_perp2( obs, mod):\n", " \n", " n = mod.shape[0]\n", "\n", " y2s = (mod**2).sum()\n", " ys = mod.sum()\n", " x2s = (obs**2).sum()\n", " xs = obs.sum()\n", " xys = (mod * obs).sum()\n", " B = 0.5 * ( (y2s - ys**2/n) - (x2s - xs**2/n)) / (xs * ys/n - xys)\n", " b1 = -B + np.sqrt(B*B + 1)\n", " a1 = (ys - b1*xs)/n\n", " predictions = a1 + b1 * obs\n", " \n", " nonsyst = np.sqrt(((mod - predictions)**2).mean())\n", " systematic = np.sqrt(((predictions - obs)**2).mean())\n", " \n", " return a1, b1, systematic, nonsyst\n", "\n", "def spread(df, obs, mod):\n", " return 1 - ((df[mod] - df[mod].mean())**2).mean() / ((df[obs] - df[obs].mean())**2).mean() \n", "\n", "def read_pieces(pieces):\n", " temp1 = pd.read_csv(pieces[0])\n", " for piece in pieces[1:]:\n", " nextpiece = pd.read_csv(piece)\n", " if 'ferry' in piece:\n", " nextpiece['k'] = 0\n", " temp1 = pd.concat([temp1, nextpiece], ignore_index=True)\n", "# temp1['SA'] = temp1.SA.fillna(value=temp1['salinity (g/kg)'])\n", " return temp1\n", "\n", "def filter_bad_data(temp1):\n", "# bad data in Puget Sound (pugts)\n", " temp1_nohook = temp1[(temp1.Lat > 47.30) | (temp1.Lon < -122.5) | (temp1.Z < 5) ]\n", "# bad onc data\n", " # temp1_nobox_nohook = temp1_nohook[(temp1_nohook['depth (m)'] != 107) | (temp1_nohook.SA > 29)]\n", "# bad ferry data\n", " # temp1_clean = temp1_nobox_nohook[((temp1_nobox_nohook.SA > 0.2) | (temp1_nobox_nohook.mod_vosaline - temp1_nobox_nohook.SA < 20)) \n", " # & ((temp1_nobox_nohook.Lon > -123.8) | (temp1_nobox_nohook.SA > 14))]\n", " return temp1_nohook\n", "\n", "def plot_and_stats(temp1, name, idepth, jdepth, fig, ax, whichdepths, reverse, string, boxes=False, box=None, boxname=None):\n", " print (temp1[temp1.k <= idepth])\n", " if boxes: # boxes for sebregion box\n", " corn = box\n", " select = temp1[(temp1.k >= idepth) & (temp1.k <= jdepth) &\n", " (temp1.j >= corn[0]) & (temp1.j <= corn[1]) &\n", " (temp1.i >= corn[2]) & (temp1.i <= corn[3])]\n", " shift_text = 0.94\n", " else:\n", " select = temp1[(temp1.k >= idepth) & (temp1.k < jdepth)]\n", " shift_text = 1\n", " \n", " print (swillmott(select, 'LCEWEL01', 'mod_vozocrtx'))\n", " \n", " if reverse:\n", " one = modn\n", " two = obsn\n", " else:\n", " one = obsn\n", " two = modn\n", " \n", " counts, xedges, yedges, color = ax.hist2d(select[one], \n", " select[two], \n", " bins=np.arange(vmin, vmax, dbin), norm=LogNorm(), cmap=cmap);\n", " fig.colorbar(color, ax=ax)\n", " \n", " #calculate stats\n", " number, tbias = bias(select, one, two)\n", " trmse = rmse(select, one, two)\n", " tcrmse = crmse(trmse, tbias)\n", " tswillmott = swillmott(select, one, two)\n", "# m, c, syst, nonsyst = slope_inter(select, one, two)\n", " a1, b1, syst, nonsyst = wolfram_perp(select, one, two)\n", " tspread = spread(select, one, two)\n", " ax.plot([vmin, vmax], [vmin, vmax], 'k-');\n", " xr = np.arange(vmin, vmax, 0.01)\n", "# ax.plot(xr, c + m * xr, 'r-');\n", " ax.plot(xr, a1 + b1 * xr, 'r-')\n", " sc = scale/12\n", " sh = 2*sc-1\n", " bot = scale\n", " top = bot + 2*sh\n", " # ax.arrow(sc+vmin, bot+vmin, 0, sh-np.abs(tbias)/2, head_width=0.5*sc, head_length=0.2*sc, length_includes_head=True)\n", " # ax.arrow(sc+vmin, top+vmin, 0, -sh+np.abs(tbias)/2, head_width=0.5*sc, head_length=0.2*sc, length_includes_head=True)\n", " # ax.arrow(2*sc+vmin, bot+vmin, 0, sh-syst/2, head_width=0.5*sc, head_length=0.2*sc, length_includes_head=True)\n", " # ax.arrow(2*sc+vmin, top+vmin, 0, -sh+syst/2, head_width=0.5*sc, head_length=0.2*sc, length_includes_head=True)\n", " # ax.arrow(3*sc+vmin, bot+vmin, 0, sh-nonsyst/2, head_width=0.5*sc, head_length=0.2*sc, length_includes_head=True)\n", " # ax.arrow(3*sc+vmin, top+vmin, 0, -sh+nonsyst/2, head_width=0.5*sc, head_length=0.2*sc, length_includes_head=True);\n", " Cp2 = {'number': number,\n", " 'bias': tbias,\n", " 'rmse': trmse,\n", " 'crmse': tcrmse,\n", " 'swillmott': tswillmott,\n", " 'slopedev': 1-b1,\n", " 'const': a1,\n", " 'systematic': syst,\n", " 'nonsystematic': nonsyst,\n", " 'spread': tspread}\n", " # ax.text(0.8*sc+vmin, 0.9*bot*shift_text+vmin, 'bias', rotation=90)\n", " # ax.text(1.8*sc+vmin, 0.72*bot*shift_text+vmin-shift_text, 'systematic', rotation=90)\n", " # ax.text(2.8*sc+vmin, 0.6*bot*shift_text+vmin-shift_text, 'non-systematic', rotation=90)\n", " \n", " ax.set_title(f'{name}, {field} {whichdepths}{string}');\n", " dCp2 = pd.DataFrame(data=Cp2, index=[name])\n", " return dCp2, counts\n", "\n", "def highlight_max_min(s):\n", " '''\n", " highlight the maximum in a Series yellow.\n", " '''\n", "\n", " is_max = abs(s) == abs(s).max()\n", " is_min = abs(s) == abs(s).min()\n", " color = []\n", " for v, v2 in zip(is_max, is_min):\n", " if v:\n", " color.append('red')\n", " elif v2:\n", " color.append('darkgreen')\n", " else:\n", " color.append('black')\n", " return ['color: %s' % color[i] for i in range(len(is_max))]\n", "\n", "def get_stats(temp1, name, idepth, jdepth, whichdepths, reverse, string, boxes=False, box=None, boxname=None):\n", " if boxes: # boxes for sebregion box\n", " corn = box\n", " select = temp1[(temp1.k >= idepth) & (temp1.k <= jdepth) &\n", " (temp1.j >= corn[0]) & (temp1.j <= corn[1]) &\n", " (temp1.i >= corn[2]) & (temp1.i <= corn[3])]\n", " shift_text = 0.94\n", " else:\n", " select = temp1[(temp1.k >= idepth) & (temp1.k < jdepth)]\n", " shift_text = 1\n", " \n", " # print (swillmott(select, 'LCEWEL01', 'mod_vozocrtx'))\n", " \n", " if reverse:\n", " one = modn\n", " two = obsn\n", " else:\n", " one = obsn\n", " two = modn\n", " \n", " #calculate stats\n", " number, tbias = bias(select, one, two)\n", " trmse = rmse(select, one, two)\n", " tcrmse = crmse(trmse, tbias)\n", " tswillmott = swillmott(select, one, two)\n", " a1, b1, syst, nonsyst = wolfram_perp(select, one, two)\n", " tspread = spread(select, one, two)\n", " xr = np.arange(vmin, vmax, 0.01)\n", " sc = scale/12\n", " sh = 2*sc-1\n", " bot = scale\n", " top = bot + 2*sh\n", "\n", " Cp2 = {'number': number,\n", " 'bias': tbias,\n", " 'rmse': trmse,\n", " 'crmse': tcrmse,\n", " 'swillmott': tswillmott,\n", " 'slopedev': 1-b1,\n", " 'const': a1,\n", " 'systematic': syst,\n", " 'nonsystematic': nonsyst,\n", " 'spread': tspread}\n", "\n", " dCp2 = pd.DataFrame(data=Cp2, index=[name])\n", " return dCp2\n", "\n", "def get_combined(years, years_og, years_pug, years_onc, years_ferry, idepth, jdepth, whichdepths, reverse=False,gridN='None',straitn='_'):\n", " if reverse:\n", " string = '_reverse'\n", " else:\n", " string = ''\n", " \n", " pieces1 = []\n", " for year in years:\n", " if gridN=='gridV':\n", " pieces1.append(\n", " f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/gridV/ObsModel_202111_CIOOS_gridV_{year}0101_{year}1231.csv')\n", " else:\n", " pieces1.append(\n", " f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_CIOOS_gridU_{year}0101_{year}1231.csv')\n", " for year in years_og:\n", " file_path1 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc_gridU_OG_{year}0101_{year}1231.csv'\n", " file_path2 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc_gridU_OG_{year}0101_{year}0331.csv'\n", " file_path3 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc_gridU_OG_{year}0401_{year}1031.csv'\n", " file_path4 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc_gridU_OG_{year}1001_{year}1231.csv'\n", " file_path5 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc_gridU_OG_{year}0101_{year}0430.csv'\n", "\n", " if os.path.exists(file_path1):\n", " pieces1.append(file_path1)\n", "\n", " if os.path.exists(file_path2):\n", " pieces1.append(file_path2)\n", "\n", " if os.path.exists(file_path3):\n", " pieces1.append(file_path3)\n", "\n", " if os.path.exists(file_path4):\n", " pieces1.append(file_path4)\n", "\n", " if os.path.exists(file_path5):\n", " pieces1.append(file_path5)\n", "\n", " # for year in years_pug:\n", " # pieces1.append(\n", " # f'/data/sallen/results/MEOPAR/202111/ObsModel/ObsModel_201905R_pugts_{year}0101_{year}1231.csv')\n", " # # f'/data/sallen/results/MEOPAR/202111/ObsModel/ObsModel_201905R_pugts_{year}0101_{year}1231.csv')\n", " for year in years_onc:\n", " \n", " if straitn == 'all':\n", " for ii in ['_','_jdf_']:\n", " file_path1 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc{ii}{gridN}_{year}0101_{year}1231.csv'\n", " file_path2 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc{ii}{gridN}_{year}0101_{year}0331.csv'\n", " file_path3 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc{ii}{gridN}_{year}0401_{year}1031.csv'\n", " file_path4 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc{ii}{gridN}_{year}1001_{year}1231.csv'\n", " file_path5 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc{ii}{gridN}_{year}0101_{year}0430.csv'\n", "\n", " if os.path.exists(file_path1):\n", " pieces1.append(file_path1)\n", "\n", " if os.path.exists(file_path2):\n", " pieces1.append(file_path2)\n", "\n", " if os.path.exists(file_path3):\n", " pieces1.append(file_path3)\n", "\n", " if os.path.exists(file_path4):\n", " pieces1.append(file_path4)\n", "\n", " if os.path.exists(file_path5):\n", " pieces1.append(file_path5)\n", " \n", " else:\n", " file_path1 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc{straitn}{gridN}_{year}0101_{year}1231.csv'\n", " file_path2 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc{straitn}{gridN}_{year}0101_{year}0331.csv'\n", " file_path3 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc{straitn}{gridN}_{year}0401_{year}1031.csv'\n", " file_path4 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc{straitn}{gridN}_{year}1001_{year}1231.csv'\n", " file_path5 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc{straitn}{gridN}_{year}0101_{year}0430.csv'\n", "\n", " if os.path.exists(file_path1):\n", " pieces1.append(file_path1)\n", "\n", " if os.path.exists(file_path2):\n", " pieces1.append(file_path2)\n", "\n", " if os.path.exists(file_path3):\n", " pieces1.append(file_path3)\n", "\n", " if os.path.exists(file_path4):\n", " pieces1.append(file_path4)\n", "\n", " if os.path.exists(file_path5):\n", " pieces1.append(file_path5)\n", " \n", "\n", " # for year in years_ferry:\n", " # pieces1.append(\n", " # f'/data/sallen/results/MEOPAR/202111/ObsModel/ObsModel_201905R_ferry_{year}0101_{year}1231.csv')\n", " temp1 = read_pieces(pieces1)\n", " # data_filter = temp1[temp1[modn].notna()]\n", " # print(data_filter)\n", " d202111 = get_stats(filter_bad_data(temp1),field , idepth, jdepth, whichdepths, reverse, string)\n", " \n", " return temp1,d202111" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### SoG" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
u-vel161492-0.002680.1320.1320.630.680.002150.1040.06890.731
\n" ], "text/plain": [ "" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "field = 'u-vel'\n", "obsn = 'current_velocity_east'\n", "modn = 'mod_vozocrtx'\n", "gridn = 'gridU'\n", "vmax = 0.6\n", "vmin = -0.6\n", "dbin = 0.01\n", "scale = 24\n", "\n", "idepth = 0\n", "jdepth = 39\n", "\n", "data_uvel_sog,d_uvel_sog = get_combined([2008,2009,2010,2012,2021,2022]\n", " , []#[2015, 2016, 2017]\n", " , []#[2015, 2016, 2017, 2018]\n", " , []#[2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]\n", " , []#[2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]\n", " , idepth, jdepth, 'alldepths')\n", "\n", "d_uvel_sog.style.format(myformat).apply(highlight_max_min)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
v-vel116054-0.01630.09650.09510.865-0.293-0.008270.03960.104-0.496
\n" ], "text/plain": [ "" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "field = 'v-vel'\n", "obsn = 'current_velocity_north'\n", "modn = 'mod_vomecrty'\n", "gridn = 'gridV'\n", "vmax = 0.6\n", "vmin = -0.6\n", "dbin = 0.01\n", "scale = 24\n", "\n", "idepth = 0\n", "jdepth = 39\n", "\n", "data_vvel_sog,d_vvel_sog = get_combined([2008,2009,2010,2012,2021,2022]\n", " , []#[2015, 2016, 2017]\n", " , []#[2015, 2016, 2017, 2018]\n", " , []#[2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]\n", " , []#[2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]\n", " , idepth, jdepth, 'alldepths',gridN=gridn)\n", "\n", "d_vvel_sog.style.format(myformat).apply(highlight_max_min)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
u-vel1176790.01130.08870.0880.8810.2570.01530.04150.0710.416
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
v-vel116054-0.007840.08450.08410.8710.00822-0.008060.00790.08380.0132
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data_uvel_sog['mod_east_vel'] = data_uvel_sog['mod_vozocrtx']*np.cos(np.deg2rad(29)) - data_vvel_sog['mod_vomecrty']*np.sin(np.deg2rad(29))\n", "data_vvel_sog['mod_north_vel'] = data_uvel_sog['mod_vozocrtx']*np.sin(np.deg2rad(29)) + data_vvel_sog['mod_vomecrty']*np.cos(np.deg2rad(29))\n", "\n", "modn = 'mod_east_vel'\n", "obsn = 'current_velocity_east'\n", "\n", "d_uvel = get_stats(filter_bad_data(data_uvel_sog),'u-vel' , idepth, jdepth, 'all_depths', reverse=False,string='')\n", "\n", "modn = 'mod_north_vel'\n", "obsn = 'current_velocity_north'\n", "\n", "d_vvel = get_stats(filter_bad_data(data_vvel_sog),'v-vel' , idepth, jdepth, 'all_depths', reverse=False,string='')\n", "\n", "display(d_uvel.style.format(myformat).apply(highlight_max_min))\n", "display(d_vvel.style.format(myformat).apply(highlight_max_min))" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "data_uvel_sog['dtime'] = pd.to_datetime(data_uvel_sog['dtUTC'])\n", "data_uvel_sog_2021 = data_uvel_sog[data_uvel_sog['dtime'].dt.year == 2022]\n", "\n", "data_vvel_sog['dtime'] = pd.to_datetime(data_vvel_sog['dtUTC'])\n", "data_vvel_sog_2021 = data_vvel_sog[data_vvel_sog['dtime'].dt.year == 2022]" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
u-vel453370.006370.08170.08140.920.2290.01520.03820.06530.366
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
v-vel45338-0.007720.07580.07540.851-0.4910.002550.04320.0843-0.864
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "modn = 'mod_east_vel'\n", "obsn = 'current_velocity_east'\n", "\n", "d_uvel_sog21 = get_stats(data_uvel_sog_2021,'u-vel' , idepth, jdepth, 'all_depths', reverse=False,string='')\n", "display(d_uvel_sog21.style.format(myformat).apply(highlight_max_min))\n", "\n", "modn = 'mod_north_vel'\n", "obsn = 'current_velocity_north'\n", "\n", "d_vvel_sog21 = get_stats(data_vvel_sog_2021,'v-vel' , idepth, jdepth, 'all_depths', reverse=False,string='')\n", "display(d_vvel_sog21.style.format(myformat).apply(highlight_max_min))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### ONC - JdF" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### JdF " ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "def get_combined_v2(years, years_og, years_pug, years_onc, years_ferry, idepth, jdepth, whichdepths, reverse=False,gridN='None',straitn='_'):\n", " if reverse:\n", " string = '_reverse'\n", " else:\n", " string = ''\n", " \n", " pieces1 = []\n", " for year in years:\n", " if gridN=='gridV':\n", " pieces1.append(\n", " f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/gridV/ObsModel_202111_CIOOS_gridV_{year}0101_{year}1231.csv')\n", " else:\n", " pieces1.append(\n", " f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_CIOOS_gridU_{year}0101_{year}1231.csv')\n", " for year in years_og:\n", " file_path1 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc_{gridN}_{year}0101_{year}1231_k29.csv'\n", " file_path2 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc_{gridN}_{year}0101_{year}0331_k29.csv'\n", " file_path3 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc_{gridN}_{year}0401_{year}1031_k29.csv'\n", " file_path4 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc_{gridN}_{year}1001_{year}1231_k29.csv'\n", " file_path5 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc_{gridN}_{year}0101_{year}0430_k29.csv'\n", "\n", " if os.path.exists(file_path1):\n", " pieces1.append(file_path1)\n", "\n", " if os.path.exists(file_path2):\n", " pieces1.append(file_path2)\n", "\n", " if os.path.exists(file_path3):\n", " pieces1.append(file_path3)\n", "\n", " if os.path.exists(file_path4):\n", " pieces1.append(file_path4)\n", "\n", " if os.path.exists(file_path5):\n", " pieces1.append(file_path5)\n", "\n", " # for year in years_pug:\n", " # pieces1.append(\n", " # f'/data/sallen/results/MEOPAR/202111/ObsModel/ObsModel_201905R_pugts_{year}0101_{year}1231.csv')\n", " # # f'/data/sallen/results/MEOPAR/202111/ObsModel/ObsModel_201905R_pugts_{year}0101_{year}1231.csv')\n", " for year in years_onc:\n", " \n", " if straitn == 'all':\n", " for ii in ['_','_jdf_']:\n", " file_path1 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc{ii}{gridN}_{year}0101_{year}1231_v2.csv'\n", "\n", " if os.path.exists(file_path1):\n", " pieces1.append(file_path1)\n", " \n", " else:\n", " file_path1 = f'/ocean/cstang/MOAD/analysis-camryn/notebooks/model_evals/ObsModel/ObsModel_202111_onc{straitn}{gridN}_{year}0101_{year}1231_v2.csv'\n", "\n", " if os.path.exists(file_path1):\n", " pieces1.append(file_path1)\n", " \n", "\n", " # for year in years_ferry:\n", " # pieces1.append(\n", " # f'/data/sallen/results/MEOPAR/202111/ObsModel/ObsModel_201905R_ferry_{year}0101_{year}1231.csv')\n", " temp1 = read_pieces(pieces1)\n", " # data_filter = temp1[temp1[modn].notna()]\n", " # print(data_filter)\n", " d202111 = get_stats(filter_bad_data(temp1),field , idepth, jdepth, whichdepths, reverse, string)\n", " \n", " return temp1,d202111" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
u-vel3457640.03210.3430.3410.687-0.691-0.1120.2010.443-0.71
\n" ], "text/plain": [ "" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "field = 'u-vel'\n", "obsn = 'current_velocity_east'\n", "modn = 'mod_vozocrtx'\n", "gridn = 'gridU'\n", "vmax = 1.5\n", "vmin = -0.6\n", "dbin = 0.01\n", "scale = 24\n", "\n", "idepth = 0\n", "jdepth = 39\n", "\n", "data_uvel,d_uvel = get_combined([]#[2008,2009,2010,2012,2021,2022]\n", " , []#[2015, 2016, 2017]\n", " , []#[2015, 2016, 2017, 2018]\n", " , [2012,2013,2014,2015,2016,2017,2018,2019,2020,2021]#[2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]\n", " , []#[2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]\n", " , idepth, jdepth, 'alldepths',gridN=gridn)\n", "\n", "d_uvel.style.format(myformat).apply(highlight_max_min)" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
v-vel341841-0.0460.230.2250.7610.3690.001810.1150.1720.444
\n" ], "text/plain": [ "" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "field = 'v-vel'\n", "obsn = 'current_velocity_north'\n", "modn = 'mod_vomecrty'\n", "gridn = 'gridV'\n", "vmax = 1\n", "vmin = -0.6\n", "dbin = 0.01\n", "scale = 24\n", "\n", "idepth = 0\n", "jdepth = 39\n", "\n", "data_vvel,d_vvel = get_combined([]#[2008,2009,2010,2012,2021,2022]\n", " , []#[2015, 2016, 2017]\n", " , []#[2015, 2016, 2017, 2018]\n", " , [2012,2013,2014,2015,2016,2017,2018,2019,2020,2021]#[2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]\n", " , []#[2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]\n", " , idepth, jdepth, 'alldepths',gridN=gridn)\n", "\n", "d_vvel.style.format(myformat).apply(highlight_max_min)" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
u-vel341841-0.03860.3450.3420.67-0.642-0.1720.1880.441-0.602
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
v-vel3418410.05960.3080.3030.5810.4350.1160.1370.2360.325
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data_uvel['mod_east_vel'] = data_uvel['mod_vozocrtx']*np.cos(np.deg2rad(29)) - data_vvel['mod_vomecrty']*np.sin(np.deg2rad(29))\n", "data_vvel['mod_north_vel'] = data_uvel['mod_vozocrtx']*np.sin(np.deg2rad(29)) + data_vvel['mod_vomecrty']*np.cos(np.deg2rad(29))\n", "\n", "modn = 'mod_east_vel'\n", "obsn = 'current_velocity_east'\n", "\n", "d_uvel = get_stats(filter_bad_data(data_uvel),'u-vel' , idepth, jdepth, 'all_depths', reverse=False,string='')\n", "\n", "modn = 'mod_north_vel'\n", "obsn = 'current_velocity_north'\n", "\n", "data_vvel_d = data_vvel[data_vvel['mod_north_vel'].notna()]\n", "d_vvel = get_stats(filter_bad_data(data_vvel_d),'v-vel' , idepth, jdepth, 'all_depths', reverse=False,string='')\n", "\n", "display(d_uvel.style.format(myformat).apply(highlight_max_min))\n", "display(d_vvel.style.format(myformat).apply(highlight_max_min))" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "data_uvel['dtime'] = pd.to_datetime(data_uvel['dtUTC'])\n", "data_uvel_2020 = data_uvel[data_uvel['dtime'].dt.year == 2020]" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
u-vel264920.03580.1920.1880.9270.01650.03640.03630.1870.0283
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
v-vel26492-0.04730.240.2360.7380.472-0.007230.1480.160.558
\n" ], "text/plain": [ "" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "field = 'u-vel'\n", "obsn = 'current_velocity_east'\n", "modn = 'mod_vozocrtx'\n", "gridn = 'gridU'\n", "vmax = 1.5\n", "vmin = -0.6\n", "dbin = 0.01\n", "scale = 24\n", "\n", "idepth = 0\n", "jdepth = 39\n", "\n", "data_uvel_jdf_v2,d_uvel_jdf_v2 = get_combined_v2([]#[2008,2009,2010,2012,2021,2022]\n", " , []#[2015, 2016, 2017]\n", " , []#[2015, 2016, 2017, 2018]\n", " , [2012,2013,2014,2015,2016,2017,2018,2019,2020,2021]#[2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]\n", " , []#[2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]\n", " , idepth, jdepth, 'alldepths',gridN=gridn,straitn='_jdf_')\n", "\n", "display(d_uvel_jdf_v2.style.format(myformat).apply(highlight_max_min))\n", "\n", "field = 'v-vel'\n", "obsn = 'current_velocity_north'\n", "modn = 'mod_vomecrty'\n", "gridn = 'gridV'\n", "vmax = 1\n", "vmin = -0.6\n", "dbin = 0.01\n", "scale = 24\n", "\n", "idepth = 0\n", "jdepth = 39\n", "\n", "data_vvel_jdf_v2,d_vvel_jdf_v2 = get_combined_v2([]#[2008,2009,2010,2012,2021,2022]\n", " , []#[2015, 2016, 2017]\n", " , []#[2015, 2016, 2017, 2018]\n", " , [2020]#[2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]\n", " , []#[2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]\n", " , idepth, jdepth, 'alldepths',gridN=gridn,straitn='_jdf_')\n", "\n", "d_vvel_jdf_v2.style.format(myformat).apply(highlight_max_min)" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
u-vel264920.008720.1530.1530.9490.1140.01270.04250.1390.197
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
v-vel26492-0.01780.1390.1380.9320.184-0.002210.05750.1160.303
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data_uvel_jdf_v2['mod_east_vel'] = data_uvel_jdf_v2['mod_vozocrtx']*np.cos(np.deg2rad(29)) - data_vvel_jdf_v2['mod_vomecrty']*np.sin(np.deg2rad(29))\n", "data_vvel_jdf_v2['mod_north_vel'] = data_uvel_jdf_v2['mod_vozocrtx']*np.sin(np.deg2rad(29)) + data_vvel_jdf_v2['mod_vomecrty']*np.cos(np.deg2rad(29))\n", "\n", "modn = 'mod_east_vel'\n", "obsn = 'current_velocity_east'\n", "\n", "d_uvel_jdf_v2 = get_stats(filter_bad_data(data_uvel_jdf_v2),'u-vel' , idepth, jdepth, 'all_depths', reverse=False,string='')\n", "\n", "modn = 'mod_north_vel'\n", "obsn = 'current_velocity_north'\n", "\n", "data_vvel_jdf_v2 = data_vvel_jdf_v2[data_vvel_jdf_v2['mod_north_vel'].notna()]\n", "d_vvel_jdf_v2 = get_stats(filter_bad_data(data_vvel_jdf_v2),'v-vel' , idepth, jdepth, 'all_depths', reverse=False,string='')\n", "\n", "display(d_uvel_jdf_v2.style.format(myformat).apply(highlight_max_min))\n", "display(d_vvel_jdf_v2.style.format(myformat).apply(highlight_max_min))" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [], "source": [ "data_uvel_jdf_v2['dtime'] = pd.to_datetime(data_uvel_jdf_v2['dtUTC'])\n", "data_vvel_jdf_v2['dtime'] = pd.to_datetime(data_vvel_jdf_v2['dtUTC'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Boundary Pass" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
u-vel524030.009160.3980.3980.624-1.62-0.3120.4390.65-1.57
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "field = 'u-vel'\n", "obsn = 'current_velocity_east'\n", "modn = 'mod_vozocrtx'\n", "gridn = 'gridU'\n", "vmax = 0.6\n", "vmin = -0.6\n", "dbin = 0.01\n", "scale = 24\n", "\n", "idepth = 0\n", "jdepth = 39\n", "\n", "data_uvel_k29,d_uvel_k29 = get_combined_v2([]\n", " , [2020]\n", " , []#\n", " , []#[2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]\n", " , []\n", " , idepth, jdepth, 'alldepths',gridN=gridn)\n", "\n", "display(d_uvel_k29.style.format(myformat).apply(highlight_max_min))\n", "\n", "# plt.scatter(data_uvel_2012['mod_vozocrtx'],data_uvel_OG['mod_vozocrtx'],s=1)\n", "# plt.plot(np.arange(-1,1,0.1),np.arange(-1,1,0.1),'k')" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
v-vel52403-0.09260.2680.2520.7190.385-0.02870.1480.1930.436
\n" ], "text/plain": [ "" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "field = 'v-vel'\n", "obsn = 'current_velocity_north'\n", "modn = 'mod_vomecrty'\n", "gridn = 'gridV'\n", "vmax = 1\n", "vmin = -0.6\n", "dbin = 0.01\n", "scale = 24\n", "\n", "idepth = 0\n", "jdepth = 39\n", "\n", "data_vvel_k29,d_vvel_k29 = get_combined_v2([]#[2008,2009,2010,2012,2021,2022]\n", " , [2020]#[2015, 2016, 2017]\n", " , []#[2015, 2016, 2017, 2018]\n", " , []#[2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]\n", " , []#[2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022]\n", " , idepth, jdepth, 'alldepths',gridN=gridn)\n", "\n", "d_vvel_k29.style.format(myformat).apply(highlight_max_min)" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
u-vel52403-0.05230.3290.3250.646-0.575-0.1660.1640.412-0.49
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
v-vel52403-0.001660.2770.2770.802-0.314-0.05380.09430.312-0.439
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data_uvel_k29['mod_east_vel'] = data_uvel_k29['mod_vozocrtx']*np.cos(np.deg2rad(29)) - data_vvel_k29['mod_vomecrty']*np.sin(np.deg2rad(29))\n", "data_vvel_k29['mod_north_vel'] = data_uvel_k29['mod_vozocrtx']*np.sin(np.deg2rad(29)) + data_vvel_k29['mod_vomecrty']*np.cos(np.deg2rad(29))\n", "\n", "modn = 'mod_east_vel'\n", "obsn = 'current_velocity_east'\n", "\n", "d_uvel_k29 = get_stats(filter_bad_data(data_uvel_k29),'u-vel' , idepth, jdepth, 'all_depths', reverse=False,string='')\n", "\n", "modn = 'mod_north_vel'\n", "obsn = 'current_velocity_north'\n", "\n", "d_vvel_k29 = get_stats(filter_bad_data(data_vvel_k29),'v-vel' , idepth, jdepth, 'all_depths', reverse=False,string='')\n", "\n", "display(d_uvel_k29.style.format(myformat).apply(highlight_max_min))\n", "display(d_vvel_k29.style.format(myformat).apply(highlight_max_min))" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "data_uvel_k29['dtime'] = pd.to_datetime(data_uvel_k29['dtUTC'])\n", "data_vvel_k29['dtime'] = pd.to_datetime(data_vvel_k29['dtUTC'])" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
u-vel52403-0.02380.2870.2860.687-0.12-0.04750.04020.302-0.113
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
v-vel524030.01420.2610.260.816-0.207-0.02020.06370.283-0.292
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data_uvel_k2930 = data_uvel_k29.copy()\n", "data_vvel_k2930 = data_vvel_k29.copy()\n", "\n", "data_uvel_k2930['mod_east_vel'] = data_uvel_2020['mod_vozocrtx'].values*np.cos(np.deg2rad(29)) - data_vvel_k29['mod_vomecrty'].values*np.sin(np.deg2rad(29))\n", "data_vvel_k2930['mod_north_vel'] = data_uvel_2020['mod_vozocrtx'].values*np.sin(np.deg2rad(29)) + data_vvel_k29['mod_vomecrty'].values*np.cos(np.deg2rad(29))\n", "\n", "modn = 'mod_east_vel'\n", "obsn = 'current_velocity_east'\n", "\n", "d_uvel_k2930 = get_stats(filter_bad_data(data_uvel_k2930),'u-vel' , idepth, jdepth, 'all_depths', reverse=False,string='')\n", "\n", "modn = 'mod_north_vel'\n", "obsn = 'current_velocity_north'\n", "\n", "d_vvel_k2930 = get_stats(filter_bad_data(data_vvel_k2930),'v-vel' , idepth, jdepth, 'all_depths', reverse=False,string='')\n", "\n", "display(d_uvel_k2930.style.format(myformat).apply(highlight_max_min))\n", "display(d_vvel_k2930.style.format(myformat).apply(highlight_max_min))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Resample to hourly from observations" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [], "source": [ "data_uvel_k2930.set_index('dtime',inplace=True)" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
u-vel8736-0.0237760.2638830.262810.712213-0.325135-0.0879930.0834240.301968-0.34247
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" ], "text/plain": [ " number bias rmse crmse swillmott slopedev const \\\n", "u-vel 8736 -0.023776 0.263883 0.26281 0.712213 -0.325135 -0.087993 \n", "\n", " systematic nonsystematic spread \n", "u-vel 0.083424 0.301968 -0.34247 " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
u-vel52403-0.0238010.2865780.2855880.6867-0.119783-0.0474580.040170.302309-0.112844
\n", "
" ], "text/plain": [ " number bias rmse crmse swillmott slopedev const \\\n", "u-vel 52403 -0.023801 0.286578 0.285588 0.6867 -0.119783 -0.047458 \n", "\n", " systematic nonsystematic spread \n", "u-vel 0.04017 0.302309 -0.112844 " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data_uvel_resamp = data_uvel_k2930[['current_velocity_east','mod_east_vel','Lat','Lon','Z','k']]\n", "data_uvel_resamp = data_uvel_resamp.resample('h').mean()\n", "\n", "modn = 'mod_east_vel'\n", "obsn = 'current_velocity_east'\n", "\n", "d_uvel_resamp = get_stats(filter_bad_data(data_uvel_resamp),'u-vel' , idepth, jdepth, 'all_depths', reverse=False,string='')\n", "\n", "display(d_uvel_resamp)\n", "display(d_uvel_k2930)" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [], "source": [ "data_vvel_k2930.set_index('dtime',inplace=True)" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
u-vel87360.014170.2380570.2376350.838891-0.305313-0.036510.0870140.263864-0.474628
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" ], "text/plain": [ " number bias rmse crmse swillmott slopedev const \\\n", "u-vel 8736 0.01417 0.238057 0.237635 0.838891 -0.305313 -0.03651 \n", "\n", " systematic nonsystematic spread \n", "u-vel 0.087014 0.263864 -0.474628 " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
v-vel524030.0141580.260580.2601950.816451-0.20681-0.0201770.0637380.283056-0.291536
\n", "
" ], "text/plain": [ " number bias rmse crmse swillmott slopedev const \\\n", "v-vel 52403 0.014158 0.26058 0.260195 0.816451 -0.20681 -0.020177 \n", "\n", " systematic nonsystematic spread \n", "v-vel 0.063738 0.283056 -0.291536 " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data_vvel_resamp = data_vvel_k2930[['current_velocity_north','mod_north_vel','Lat','Lon','Z','k']]\n", "data_vvel_resamp = data_vvel_resamp.resample('h').mean()\n", "\n", "modn = 'mod_north_vel'\n", "obsn = 'current_velocity_north'\n", "\n", "d_vvel_resamp = get_stats(filter_bad_data(data_vvel_resamp),'u-vel' , idepth, jdepth, 'all_depths', reverse=False,string='')\n", "\n", "display(d_vvel_resamp)\n", "display(d_vvel_k2930)" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [], "source": [ "data_uvel_jdf_v2.set_index('dtime',inplace=True)" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
u-vel44160.0087070.1259280.1256270.9649370.0827690.0115820.0306330.1174010.149253
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" ], "text/plain": [ " number bias rmse crmse swillmott slopedev const \\\n", "u-vel 4416 0.008707 0.125928 0.125627 0.964937 0.082769 0.011582 \n", "\n", " systematic nonsystematic spread \n", "u-vel 0.030633 0.117401 0.149253 " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
u-vel264920.008720.1529230.1526740.9493450.1139080.0126820.0425130.1392330.197356
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" ], "text/plain": [ " number bias rmse crmse swillmott slopedev const \\\n", "u-vel 26492 0.00872 0.152923 0.152674 0.949345 0.113908 0.012682 \n", "\n", " systematic nonsystematic spread \n", "u-vel 0.042513 0.139233 0.197356 " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data_uvel_jdf_resamp = data_uvel_jdf_v2[['current_velocity_east','mod_east_vel','Lat','Lon','Z','k']]\n", "data_uvel_jdf_resamp = data_uvel_jdf_resamp.resample('h').mean()\n", "\n", "modn = 'mod_east_vel'\n", "obsn = 'current_velocity_east'\n", "\n", "d_uvel_jdf_resamp = get_stats(filter_bad_data(data_uvel_jdf_resamp),'u-vel' , idepth, jdepth, 'all_depths', reverse=False,string='')\n", "\n", "display(d_uvel_jdf_resamp)\n", "display(d_uvel_jdf_v2)" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [], "source": [ "data_vvel_jdf_v2.set_index('dtime',inplace=True)" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
u-vel4416-0.0178150.1175760.1162180.9504230.14953-0.0051230.0466520.1007460.2571
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" ], "text/plain": [ " number bias rmse crmse swillmott slopedev const \\\n", "u-vel 4416 -0.017815 0.117576 0.116218 0.950423 0.14953 -0.005123 \n", "\n", " systematic nonsystematic spread \n", "u-vel 0.046652 0.100746 0.2571 " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
v-vel26492-0.017810.1389370.1377910.9324070.183702-0.0022140.0575170.1164280.303033
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" ], "text/plain": [ " number bias rmse crmse swillmott slopedev const \\\n", "v-vel 26492 -0.01781 0.138937 0.137791 0.932407 0.183702 -0.002214 \n", "\n", " systematic nonsystematic spread \n", "v-vel 0.057517 0.116428 0.303033 " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data_vvel_jdf_resamp = data_vvel_jdf_v2[['current_velocity_north','mod_north_vel','Lat','Lon','Z','k']]\n", "data_vvel_jdf_resamp = data_vvel_jdf_resamp.resample('h').mean()\n", "\n", "modn = 'mod_north_vel'\n", "obsn = 'current_velocity_north'\n", "\n", "d_vvel_jdf_resamp = get_stats(filter_bad_data(data_vvel_jdf_resamp),'u-vel' , idepth, jdepth, 'all_depths', reverse=False,string='')\n", "\n", "display(d_vvel_jdf_resamp)\n", "display(d_vvel_jdf_v2)" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [], "source": [ "data_uvel_sog_2021.set_index('dtime',inplace=True)" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
u-vel75570.0063710.0784690.078210.9246010.2210680.0148510.0364770.0630460.356408
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" ], "text/plain": [ " number bias rmse crmse swillmott slopedev const \\\n", "u-vel 7557 0.006371 0.078469 0.07821 0.924601 0.221068 0.014851 \n", "\n", " systematic nonsystematic spread \n", "u-vel 0.036477 0.063046 0.356408 " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
u-vel453370.0063660.0816790.081430.9195230.22920.0151570.0382280.0653050.365714
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" ], "text/plain": [ " number bias rmse crmse swillmott slopedev const \\\n", "u-vel 45337 0.006366 0.081679 0.08143 0.919523 0.2292 0.015157 \n", "\n", " systematic nonsystematic spread \n", "u-vel 0.038228 0.065305 0.365714 " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data_uvel_sog_resamp = data_uvel_sog_2021[['current_velocity_east','mod_east_vel','Lat','Lon','Z','k']]\n", "data_uvel_sog_resamp = data_uvel_sog_resamp.resample('h').mean()\n", "\n", "modn = 'mod_east_vel'\n", "obsn = 'current_velocity_east'\n", "\n", "d_uvel_sog_resamp = get_stats(filter_bad_data(data_uvel_sog_resamp),'u-vel' , idepth, jdepth, 'all_depths', reverse=False,string='')\n", "\n", "display(d_uvel_sog_resamp)\n", "display(d_uvel_sog21)" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [], "source": [ "data_vvel_sog_2021.set_index('dtime',inplace=True)" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
u-vel7557-0.0077090.0725810.072170.860967-0.5201140.0031680.0444760.079358-0.959219
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" ], "text/plain": [ " number bias rmse crmse swillmott slopedev const \\\n", "u-vel 7557 -0.007709 0.072581 0.07217 0.860967 -0.520114 0.003168 \n", "\n", " systematic nonsystematic spread \n", "u-vel 0.044476 0.079358 -0.959219 " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
v-vel45338-0.0077210.0757790.0753840.850896-0.4914910.002550.0431980.084311-0.863567
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" ], "text/plain": [ " number bias rmse crmse swillmott slopedev const \\\n", "v-vel 45338 -0.007721 0.075779 0.075384 0.850896 -0.491491 0.00255 \n", "\n", " systematic nonsystematic spread \n", "v-vel 0.043198 0.084311 -0.863567 " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data_vvel_sog_resamp = data_vvel_sog_2021[['current_velocity_north','mod_north_vel','Lat','Lon','Z','k']]\n", "data_vvel_sog_resamp = data_vvel_sog_resamp.resample('h').mean()\n", "\n", "modn = 'mod_north_vel'\n", "obsn = 'current_velocity_north'\n", "\n", "d_vvel_sog_resamp = get_stats(filter_bad_data(data_vvel_sog_resamp),'u-vel' , idepth, jdepth, 'all_depths', reverse=False,string='')\n", "\n", "display(d_vvel_sog_resamp)\n", "display(d_vvel_sog21)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Figure " ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(-1.5, 1.8)" ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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I4K677qJJkybExMRw//33k5eXZ1Zm06ZNDB8+nLi4OMLDw2nXrh133303lZWVxjK1tbX85z//4eqrryY0NJTmzZvzyCOPWNXVoUMHbr31VpYuXUq/fv0ICwtjxowZ9OvXz2aSGa1WS+vWrbnrrruM22bMmMGgQYNo1qwZTZo04dprr2X27NlmCVY6dOjAyZMn2bp1qzEpTYcOHQD7rnk7duxg5MiRREdHExERwZAhQ1i5cqVZmR9++AGVSsXmzZt5+umniY+PJy4ujrvuussq2Y2S6yYQCASC+kEEK/czkpOTmTFjhvFzaGgoHTp04IUXXmDatGnEx8eblZ8wYYIxu9rSpUuprKykQ4cOvPHGG7zyyiuEhYWZlf/b3/6GWq3m008/5fvvv6dVq1Y8/PDDvP7664SEhHjc/sjISLZu3cq0adP4/fffOXToED179uS3336jpKTEagDRr18/1q1bx+uvv87SpUsJDAxkyJAh7Ny5k+XLl1uVd4WHHnqI//73v7Rr144xY8Z4+tVsEhgYyJ9//smrr77KmjVr2L9/P127duXDDz/k5ptvZvHixWblJ0+eTHV1NTt37mT//v3U1NTQpk0bnn32WV566SVjJsKxY8eSlpbGtm3bWLp0KeXl5bRu3ZpJkyYxdepUunfvXiffRyAQCAQCXyJJEmq12tfNMBIcHOwwLqUttFotmzdvpn///sb3uiVt27bluuuuY9OmTcakLwB33nkn9957L0899RQnT57kjTfe4NSpU+zdu5fg4GDS0tIYN24cN9xwA3PmzCE2NpasrCzWrFlDbW0tERER6HQ6br/9drZv387UqVMZMmQIFy5c4K233mL48OEcOHDAzLL60KFDnD59mtdff52OHTsSGRlJYmIizz//POfPn6dr167GsuvWrePixYs88sgjxm1paWn87W9/o127doAcF+vvf/87WVlZRgv533//nXvuuYeYmBi+/PJLQB7j2mPr1q2MHj2a3r17M3v2bEJDQ/nyyy+57bbbWLBgARMnTjQr//jjjzNu3Djmz59PRkYGL7/8Mvfffz+bNm0yttHZdRMIBAJB/aGSRD54h5SWlhITE0NJSYkxGLegYbBw4UImTpzIjBkzrFwFBQKBQND4EO9s/8HZb1FdXU1qaiodO3Y0WzSrra216druK6ZNm+byQt2lS5dISEhg0qRJDpOLTJo0id9++41Lly7x5ZdfMmPGDP71r38xa9YsY5n58+czZcoU5s2bx5QpU1iyZAn33HMPR44coU+fPjbr/fXXX5k8eTJLliwxs1w6cOAAAwYM4Msvv+Tpp58GZEulzMxMTp06Rbdu3YxlCwoKSExM5KWXXuKdd94xbp84cSJbt24lMzPTytIL5HASOp2OmTNn8umnn5KXl2cU8nr16kV8fLxVbNO0tDQ6duzI3LlzjSElBg8eTEpKCsnJyURFRQGywNe3b1+Ki4tJT083WlE98sgjPPPMM3zxxRfGOj/44AOmTp1KdnY2CQkJiq6bLezdpwKBQNCY8MX4SbjmCRolkiQxa9YsgoKCeOyxx3zdHIFAIBAIBAIzDGvBphZXU6ZMMStz7733EhQUxObNmwHo27cvISEhPPnkk/z444+kpKRY1fvnn38SGxvLbbfdhkajMf7r27cvCQkJVkJQ7969zUQogLi4OG677TZ+/PFHY6KcoqIi/vjjDx588EEzEWrTpk2MGjWKmJgYAgMDCQ4O5s0336SgoMBuJmVHVFRUsHfvXu655x6jCAWyFfoDDzxAZmYmZ8+eNTvGMulN7969AYzxNpVcN4FAIBDUH8I1T9CoOH78OH/++Se7du1i7969PPXUU7Ru3drXzRIIBAKBQKCA4OBgryVQ8QbBwcEuHxMfH09ERASpqakOy6WlpREREUGzZs2M2xISEszKBAUFERcXR0FBAQCdO3dmw4YNvP/++zz77LNUVFTQqVMn/vGPf/D8888DskVWcXGxXUuu/Px8s8+tWrWyWe7RRx9lyZIlrF+/nrFjx7JgwQJqamrMEuHs27ePMWPGMHz4cL777jvatGlDSEgIy5Yt45133nEr8HlRURGSJNlslyGmqeF6GIiLizP7bHD7M5xfyXUTCAQCQf0hhChBo+LgwYO89tprxMbG8uCDD/LBBx/4ukkCgUAgEAgUolKpvBKz0pcEBgYyYsQI1qxZQ2Zmps04UZmZmRw8eJCbb76ZwMBA4/acnByzBTSNRkNBQYGZ0HLDDTdwww03oNVqOXDgAJ999hn//Oc/admyJZMmTTIG7F6zZo3N9kVHR5t9thcDa+zYsSQmJjJ37lzGjh3L3LlzGTRoED169DCW+fXXXwkODubPP/80c11btmyZ44vkgKZNmxIQEEB2drbVPkMAcsuYqUpwdt0EAoFAUH8I1zxBo+Lhhx9GkiSKior48ccfzUy6BQKBQCAQCOqDadOmIUkSzzzzjFkwcpBjHT399NNIkmRl/fXLL7+YfV64cCEajYbhw4dbnSMwMJBBgwYZYyMdOnQIgFtvvZWCggK0Wi39+/e3+nfVVVcp+g4GV7hly5axfft2Dhw4YMzua0ClUhEUFGQmplVVVfHzzz9b1RcaGqrIQioyMpJBgwaxdOlSs/I6nY558+bRpk0bK1dCV7B33QQCgUBQfwiLKIFAIBAIBAKBwIsMHTqUTz75hH/+859cf/31PPfcc7Rr14709HS++OIL9u7dyyeffMKQIUPMjlu6dClBQUGMHj3amDWvT58+3HvvvQB8/fXXbNq0iXHjxtGuXTuqq6uZM2cOAKNGjQLkIOi//PILt9xyC88//zwDBw4kODiYzMxMNm/ezO23386dd96p6Hs8+uijvPfee9x3332Eh4dbZasbN24cs2bN4r777uPJJ5+koKCADz/80GZGvGuuuYZff/2V3377jU6dOhEWFsY111xj87wzZ85k9OjRjBgxgpdeeomQkBC+/PJLTpw4wYIFC1zOZKjkugkEAkFdkFtRwef79nHH1VdzrR1X6CsRIUQJBAKBQCAQCARe5u9//zsDBgzgo48+4sUXX6SgoIBmzZpx/fXXs2PHDgYPHmx1zNKlS5k+fTpfffUVKpWK2267jU8++cTorti3b1/WrVvHW2+9RU5ODlFRUfTq1Yvly5czZswYQLb4Wb58OZ9++ik///wzM2fOJCgoiDZt2nDjjTfaFX9s0a1bN4YMGcKuXbuYMmUKMTExZvtvuukm5syZw3vvvcdtt91G69ateeKJJ2jRooVVspgZM2aQnZ3NE088QVlZGe3btyctLc3meW+88UY2bdrEW2+9xcMPP4xOp6NPnz4sX76cW2+9VXH7DSi5bg2N03l5rE5K4tF+/YgVGf0EAr/l0z17OJaby+GcHFZMnuzr5vgNKsmQskNgE5EKWiAQCASChoF4Z/sPzn6L6upqUlNT6dixo1lsIYHAn/DX+7RWq+XuhQsBGNymDa/dcIPP2iJJEuuSkzl26RIanY52MTHc27MnwSbumgLBlcwzK1eSUVoK4LdClC/GT8IiSiAQCAQCgUAgEAgaCI8vX278O0s/wfUVW9LS+Hz/fuPnXZmZhAYFcY9JUHuBQCCwxOvBynU6HZWVld6uViAQCASCBo8kSWg0Gl83QyAQCAQNmKLqauPfvnZtSS4qstqWXlLig5YIBIKGhMdCVHV1NT/88AMTJkwgMTGRkJAQoqOjiYiIoH///kydOpWjR496o60CgUAgEDRovv/+e9577z1qa2t93RSBnyEW8gQCgRJ0FlFVLD8LBAJBQ8Bt17yqqiref/99Pv30U0pKSrj66qsZOXIkLVq0ICwsjMLCQlJSUvjuu+/46KOPGDJkCO+//77NwIwCgUAgEFwJXLx4EYD09HS6dOni49YIfEl1dTW//vorK1euZOfOneTm5iJJEqGhofTo0YObbrqJKVOm0KdPH183VSAQ+AlVajVPrFhhtk2E+xUI/BvXcnxeObgtRHXt2pXIyEhef/11pkyZQsuWLW2WkySJzZs3M3fuXEaMGMHnn3/O448/7naDBQKBQCAQCBoqYiFPIGiYSJLEbydP0qN5c3rbmffUNbsyMiipqTFvl09aUjdkZ2dTXFxM9+7dfd0UgcBjskpLySwtJd0kjltSYSFdmjXzYav8B7eFqLfffpuHHnqIQCcZEVQqFTfddBM33XQTM2bMID093d1TCgQCgUAgEDRoxEKeQNDwSCosZNrWrcbP/pr5qqHz7bffAvD444/TunVrH7dGIPCMp1autNr2r7VrRf+hx+0YUY8++qhTEcqSTp06MXz4cHdPKRAIBAKBQNCgefvttzl16hQvvPCCXREKLi/k/fzzz5w6dUq4crpBjUZDekkJZRYWJAKBq3y0a5evm9Cg8NRdMC8vz0stEVxJnC8o4L0dO8gpL/d1UwQK8HrWPIFAIBAIrlQKCgpYsmQJly5dclhOxPS4chELefVHUXU1NRqNmJQIBAqo1mj8RrRtDO/IKzFDblFVFVPXr2dTaqpPzv/CunXsyMjgnW3bfHJ+pai1Wl83wS/wmhCl0+n46aefvFWdQCAQCAQNjp9//pkTJ04we/ZsXzfFLaqqqnzdBIHAa9SaDPbzKip82BKBpzQGYcKfkSSJf6xezUPLlvmFcNvQf+/9+/fzzjvvcPLkSV83pV758ehRTufn8/GePT5tR1pJCeuSkwH5XsoqLfX4nrpUXs7M7dv5ePduj9t37+LFVIjsyd4TotRqNY888oi3qhMIBAKBoEFRU1NDSUkJIL8TGxr79u3j/fffZ7cXBlkC5YiFvPqhuLraK5MRQf1TWlNDanEx1Y3QwqSitpb/bNvGDhdj6FZVVVGuF4y8cU9rJYns8nLUOh1PrFjBidxcRcfpJIkM/XvPFHdapNPpLh/fwJ/TVatWAbB48WIft6R+8Sdx5bN9+5AkidmHD/PUypX8dPSo23Udzs7m8RUr2JWZyaa0NKo8HONpdDoOZmd7VEdjwKVg5W+//bbdfQ1x0C0QCAQCgbcwBFltqKxevRqAdevWmWVoO5Gby+m8PK5p2ZKuzZrxzvbthAQG8ur11/uqqY0Kw0Legw8+6OumNHoq1Woq1WoiQ0J83ZQ6JS0tjY4dOzJ37lwefvhhp+UlSUKlkhOMb9myhREjRrB582a/cQe9pBdccsrL6RAb69vG6Hlp3TreHz2aAJX7idn3ZWXxb70L0d6sLK5v185heZ0kcUofOykjIwOAjh06QGSk222wpKqqitKSEhYdP06vkSOdlv9s714O5eRYbd964QI3tGvHoDZtnNYhSRK5ubnMnz/fbJugYaHR6UgqKvJ1M8y4a+FCNHqBc/Hp0zzUt69b9axJSjL77I27U2sivCpBkiQO5+TQLiaG+IgIL7TA97gkRP3nP//hzjvvpEmTJlb7tMLXUSAQCARXMIWFhb5uQp0wbeNG49/Xt23L/osXATmeSFiQ28l3ryjEQp7/oNbpyCotJSYsjKhGLkgpIbeigiq1mrYxMR6JKvWBzo/EibMFBSw/e5bbr7rKKOK5yr9djGPz64kTrEtJMdum9pKV2MGDB6mqqjIKXKuOHuXvgwc7nfBucBAL6D/btyvKDnb06FH++OMPs21CiGp4fLBzJ/mVlb5uhhkaF8UepSi5P4/aEGhNcbU/O5idzQx95s7GknXPpRHkNddcw4MPPsi4ceOs9lVXV/PDDz94q10CQb1QUFBATk4OAQEBdO/e3dfNEQgEjRRJkti+fbvZZ1ePd3ey40126CcpAO/t2MEr118vxCgFiIU8/8EQK6pSraZrXJyPW+N7SqqrAdmlJjo01MetsabQj+LW6XQ6srOziYyMJDY2ltmHD9MsPJxh7dvXy/n/PHfOaltWVhaJ0dEe1ZuWlsbKVavIMNlWq1Yzdf165tx+u0d1K2GPj+MJCbzDrsxMXzehTkgvKbH6bo/88Qffjx9PEzt95tGcHF7fvNlhva4KUcedJMFpiLgUI+qJJ56wO2AKDg7mrbfe8kqjBIL6IDU1lc8//5zFixezcOFCqvWDMYFAIPAG50wmDWfOnGGzk0GJPVafP88dv/3Gy+vWcTY/31vN85gD2dksusICsbqLYSHvu+++s/r35ZdfitX/Rsj06dNRqVQcO3aMCRMmEBMTQ7NmzXjhhRfQaDScPXuWv/71r0RHR9OhQwfef/99s+PT09O5//77adGiBaGhoXTv3p2PPvrILI4OwMWLF7n33nuJjo4mJiaGiRMnkmNnJf7AgQOMHz+eZs2aERYWRr9+/Vi1bBkgu735YyanAj+ysCguLqaiooJck/hJ2y5c8GGL5EWKQ+fPe5SlrKCgwKarUZ4L116n04GhH3OxP7O1yNJQ+0RJkuqs7RqNhuzsbKv6l589y+JTp+rknI2Ng3qLbld4fs0aq21VGg0rzp61e8xxBTHWXLlLiqqqWHrmjAtHNAxcEqKeeuopxo8fb3NfYGCgEKIEDYpjx46Zfa71owB7AoGg4bNgwQLj30UexE348sABdJLEmYICXlq/3htNs8JycquUYiHgK0Is5ClHkiSqNRqv/atx8E/J8Z5OKu+991769OnDkiVLeOKJJ/j444954tlnuf2OOxg3bhy///47N910E6+88gpLly4FIC8vjyFDhrBu3Tr+/e9/s3z5cm4YPpyXXnqJZ559lsKqKjQ6HVVVVYwaNYp169Yxc+ZMFi1aREJCAhMnTrRqx+bNmxk6dCjFxcV8/fXXLFu2jO69evHPxx9nqb6vSisu9qtgw5ZodTqfiGWGwMRaPw2WrtFo+O+mTV6ts7q6mrKyMqfl1Go1GRkZJCUlkZ2TQ0FBASkpKS65HHtTiDp37hxbtmzxqhhUXV1NhYKsmxqNhs8++4yFCxcat3nTkvmnn37i22+/NZu/aHQ6vjt0iB+PHqXIj6wH/ZXpW7fy64kTisufLyiw696ndXCPedvN+d0dO7xan7/QaO3py8rK+Pe//82RI0c4fPgw+fn5vPXWW0yfPt3XTRMIBALBFYY/uNU54ueff/Z1Exo1Tz31lN19/raQ5+vxU41Wy4RFi7xSV5Va7dD9QUnQ8kUTJlCj0RAcGEhEcLDLbXjyySd54YUXABg1ahQrVq/mh2+/5fMff+Sp++8nMCCA4cOH8+eff/LLL79w1113MWvWLLKysti7dy8DBw6kVqOhU//+VNTU8O0333DXww/To3t3/pw/n9OnT/PHH38YF4rHjBlDVVUV3333nVk7nnnmGXr27MmmTZsICgqiSq2m84AB5OTmMus//+GOiRMJCAjw+8lsWnFxvbtUltWzOKfRaAhy0eU5IzOTPXv2sG3bNlq1asXYsWNp0aKFomN1ksRxG9uzFWT1ysrKMi7kmgpXBQUFJCQkcPjwYSoqKrjeQXILR0LU3r17iYyMpFevXk7bAvICUCGwsbycpnFxjL/qKro0a6boWHu89957AEybNo0QB31GamoqRUVFHi082WPDhg3G+F0HDx6kT58+gLl7V60PLRq/O3jQZ+d2lV+OH+f6du1oY8NV3pIX1q2zu8/Ru0WJEOWKWHrKj6zhvYlLFlG28KfBkykFBQV8++231NTUcMcdd/i6OYIGgL9PFAUCQcPF390M0tLS3DrOv7+VfyPGT75HyXNZpVaTW1FBVmkpxdXVZJSUuGSVc+uttxr/Vmu1dO7aFZVKxY0jR5JWXAxAUFAQXbp04YLezWvTpk306NGDgQMHApdX3u+cPBlJktizfTtVajXrNmwgOjraylvhvvvuM/uclJTEmTNnmDJlCiALHTVqNRqNhhtHjSL30iVSLLJC+RpJksgoKfHZuS2pqamhSP97AVTq3db2ZmWRrcBySClnzpzhnXfeYffu3S4fu3btWqqqqkhJSeGnn36yW87y+x0qKOC0y2eTsetNoD/H8uXL2bhxIwUFBXbrsCdE5efn89GaNby/ZAmrV69WbLm7BtiSkcHmtDT+tXatomOUUBcCk1J27tzps3MrYbmN+GX+jDPLT0mS+Gr/fodlPBainJZo/HhsEfXBBx8wY8YMb7TFq7Rv356ioiJUKhX5+fl8//33vm6SQCAQCAQAnD59ms6dOxMYGOjrpgh8hBg/2SY0MJBFEyZ4pa70khJqHbhTBahUdHJgLaHR6bhYWmqcKBsCnV+qqFC0mg7QTF+/RqcjrbiY4JAQwiMiCA0LQydJFFVV0TQ8nJCQEEpLSwFZDOzQoYNVXS0TEgAo1k+Ic/LyaNmypVW5BH05A5f0QW5feuklXnrpJZvtLHIgFPiCSrWaai+7wkmSRHl5OUFBQYSHh5vtq6mpoaamhsjISPLy8ggPDycmJsa4P9si7lZmZiZdOncmICCAf61dy6/33OOVNv7+++8ArFu3jsGDB5vtc2XB1J4rWU1NDV999RWdO3fmtttuA6CgpsbN1iqnxsE5bH2vU6dOoY2K4qj+c+d9+2jRogXXXXedWbnz589z6NAhbr31ViIjI3FdvrNmx44dHD58mEceeYTIyEiH7TSlLha0NRqNlajo7wtbBhpyZt2kwkJWORHnLxQX20wkU1hVxc8W4V9s8cX+/XSMjeWq+HiP2tqQ8fju8NeHQVi3CJzhr/euoP4pqa7my/37GdulC9e2auXr5ggaIZbvpCNHjnDkyBFuuOEG2rdvT+fOnX3UMoGv8Nd3kK/HTyqVymuTl7CgIJx9G0fnyi4rs3k9qtRqiquriQ0LU9QOnSSRaseaIr+y0ipbXVxcnE23qEt6MaSpXtyKbdqUE4cPk1tRQfOICGNbLYOVx+snOtOmTeOuu+4CZKEn30Ss6Nili1Wb/SVbp6cYYvxERERQVlaGBCSEhhIYcNkxxGCxU1lZiU6no6KigpiYGKoNsY5sPK9l5eXk5+XRvHnzOv8O65OTKfWCYHTkyBFKSko4dOgQt912G2lpaRw+fNgLLfQumZmZZFrEIPzzzz/p2rWrWfbR+fPnAxASEsLwv/4VQ8h2jVpNZmYmTZs2JS8vj4qKCpviri02btwIwNatW7nlllsA2XrFmTBaF336sWPHjC55zqivN4okSZw8eZLWrVvTtGlTm2Vqa2q4/ZdfWPvQQ/XUKtdwdq2UiOCHcnJYdOoU9/bsabb9Axes1/67Ywc/KrA8VtE4Lag8ds1rDC+oKxG1VsuC48c572crYFcakiRx7NgxhybLgrrnu0OH2JWZyVtbtvi6KYJGxn4npt3bt29n3rx59dQagT8hxk91R5VaTWZpKTUKJhOOJo+OYq7kKQhebMCZK59lG0aOHMmpU6c4dOiQ2fZlv/2GSqVikD7ezl+uv56ysjKW/v47JSYihWFybuCqq66ia9euHD16lP79+9O/f3+uve46runXz/gvKjra7JiLpaVkl5cr/o7expvPR2FhITU1NRTrXeuKgJSiIpuuNabuXxqtlhwH1+DSpUtodTpy3EirXmkjmLeje/F/+/a5fA4l/PLLL07FWm/gjkiTZyMujmkSEFPSiop4UJ8BEqCwqIjKykqysrL45ptv+PHHHzl92jUHRJ1OZ2z3LuDxdetILSoipaiI8nqKG6ax0YeZXkvT+1XrZtIRVzl27BhLlizhf//7n839Op2OtAsXSEtLs5ukw9c4ux+V9j/zbFg+nXFhTqf0N2us44WGaS9XhxhMcw0YzKQbG3+cPcv8EyeYf+IEKyZP9nVz/IKffvqJhx9+2MwMt645fvy40QzbX+OFNDSWnDrF+pQU3h01SvFqtT+lhxY0LlatWsXVV1/t9vEpPopJkZ6eTrt27XxybkHDxJ/GT5n1dO4ajYZQBdZbzqYQhRYBwv/1r3/x008/MW7cON6aPp2I+Hg2rlvH/DlzmPzII0brpTsmTuSHr79m6rPPUpKXR7+ePVm1ahVrbcTF+eabb7j55psZO3YsDz30EBHNmnExL4/kc+c4dewY/5szx+qY+sygZ7C+0kmSVzPjlZsISZaTT7VW6/D3u5SXp/g8Op2OgABl6/tarZYH9WM/U17buBFlDp+20eDaxG7u3LnodDoKHZTR6XRoNBqrIN3l5eU+mRxbWvsZOF1VBRbulgYMYsjChQsZP348/fr1U3QuSW8VuBXIApqVlfHf7dvJqaggIjiY3yzcMevreuh0OmbPnk1mZibBYWFoW7cmMDCQp1au5MtbbqGtiUtpXWCIZWcPU/GpRq0mIjDQ76wrncmiSlvqqZVSSU2NIuta/7ly3sVji6jGxsyZM4mJiTH+a9u2ra+bVCek+ygApD+Tn5/PJi+nv3WGUnNbgTIOXrzID0ePklVWxm8upGcVCOoSR7ExnPH8mjVebIly5s6d65PzChouDXX8lFtR4TDorCMUj6WcTMBKa2rMUoQ3b96cXbt2cdNNN/Haa6/x+OTJbN+0ialvvcWb775rLBceEcGPy5Yx5MYb+febb3LPPfeQmZnJr7/+anWOESNGsG/fPmJjY/nnP//JvePHM/2ll9i1dStDhg1z2D5JkqjRaNy+Ts7IrajgQkkJWp2O5MJC0ktKKPNS3CJTQVQClNux6S1iQFGQ7M8//1xRnRqNhlmzZnE2Odlse0FBAVtPn/boGi91sXx6ejpHdTocjURnz57NzJkzzWJOqdVqPvroIz788EO7x5WWlVGq8Pmoa4HiALAW0AKbN2926dji6mqy9H8XFhZyKj0dsG3RZgvDd1u/ezf//u47qi3cDZUeb0p2djaZmZlyO6qrza7zD0eOALJr47Zt2xQHePcmpkKUJElUVVUxa9Ysli9f7lI9Z/Lz2Z+V5bygnt9dsHhzZhHlKNi4Wq2WM0Tq68jycOHj6ZUrnZbxJxHPmzTaGFHuMm3aNGOaXZBfYA1lMOUKDfl23r9/P8eOHeO+++4jPDyckpISwvWBPj3l0KFDDBs2zCxApaBhUF5by/StW42fNT54+dYF1RoNoYGBjfYlZMAwWWiiMABwQ+KLL76gf//+vm6Gx2g0Gi5evGgUGgSeIcZP/kFpTQ0hgYE0tWNN4S7Tp09n+vTpgPn76L3PP+c9G6LFwpUrSTRxj2vXrh2//PILGSUlDuOVJLRqxWdz5xIdGkrLyEjju8LW/dW7d29+++03UouK7L4jB11/PYWVleSbWAqX1dZyqbyc8OBgxUHaXaFEPzk3tWRzFA8pu6yMhKgol96LElAJWNaq0+mc1qPEvUhpRrXc3FwqKysxtTXTabXGEA1VQLCimqxxJ7T7KSf7L168CMDZs2e59tprAXMrM0e447JYFxjyuWUBsR7WlV9QQEBgILGxrtX03Lp1ACSsW8cTFlkuHeHue2L27NkAhIeHM2DAALfqsIdpmy5cuMC5CxeMFk8VFRVkmYhHEnD48GHKy8s5fPiwVYZPe/WrVCpeXr8egO9vu42WUVFOj5ujF+EUfQcH+2o0GpafPWt3f2qqHIlMSkigSZMmPLVypUfeRfXl5umPeGwRNXToUG+0w28IDQ2lSZMmZv8E3ker1ZKRkeGWUr9q1SoyMzPZvn07hYWFfPLJJ3z88ceKj09JSWHjxo12O3dHKW+9TWMXF+qLspoanlGwomAPf/0dcisqmLBoEa/Xs6VefaPVavn444/5+OOPbcZDaAwcOHDA4f60tDTmzp1LcnKy3woUhQUFVFdXGzNwCTxDjJ/8B60Hz5yi51VBmVqt1qNnv6ymxijoOMXJO6/MZGJUVlNjFIWqFFqBuIujmFymlNfWuvybVWEtQqnVanJycoyxo2yh9vJ3NnXfq66uRqfVGsUeMJ8gJznJ2lWfeBrrx5V7WwcUIFsyKUXJKE5ysR2SJNl8dnNzc9G4cF+sWrXK+HdKPbss57ngXuoOX/7wA89t3my0yrKMebvo1CmXrnlaWhrvvvsuR48eNW7Lr4PwGY4sD38+dowdCjxWqkRYD4/xWIjasGGDN9ohcBOtTqf4xW2Kryfef/zxB3PmzDFmpnCH2tpa40vaFVPXn3/+mR07dnDMTmrNwkJH3vKXuXjxIh9//LHdegT2cdU02RmLTp2iyMt1+pL9WVlM37KFJafktcpjubmNesXE9H7wxI2tIfPjjz+Snp7OvHnzWLhwoa+bYxNbw7b1KSmczM2t97Y0BsT4yb+RJEmRm1R6SYlXXNbUWi15NiY2rozX8i1iTbmLaZD3nPJyt8aZdY2rop2tEUJWaSk6oMrOdXPHrtrZYoqpEJWenk52djaVds7/yy+/mH2uqakhPT3dzE3OUzyZDThOxSHj6lRdC+xEdqUztTEz/bXdHSe485Tae/5SUlNtbrdEp9OZJS1xdf6lpLxaozFeE8vvWFBQgE6n48Ndu5i2ahWzly9nc3KyzfhvWVlZzJ0718yiyRmGZSnD+S1bu/jMGfa7IIYtWLCA2tpalpkEnn9zyxZ+P32aYi+O8/9v0ya7AtdxNxbbcnJy2LVrl98GZ/dXvBIjatOmTSxatMj4+dKlS9xyyy0kJCTw4IMPen3SqZTVq1ezePFiVqxYAcCpU6dYvHgxixcvprKRqJjPrlrFPQsXKkoz6U8cP34cgF27drldhyRJLj/wSi2wlAxwFi9eTGlpqTHYuCts2rSJrSZuZA2V8wUFfLJnj1WgVUfs27eP9957j71793qtHbbuf1cGHKYvzrqKgaGUn48e5e1t2ziYnc0qk9XQyUuWeBQ49lxBAb+fPu231jYGfC2S+wNnzpzxdRNc4lUPFhQE/smVMH4yxVa/mFtRocjFu1ardWoppLTXVWzRVM/UVzYuVyirrfX4faaVJIdCSZmL9R04cIB33nnHOMa1haVbW4ULz1Nubi7V1dUuCQV1yXkFZZa5WOdqcBizCuDbb791sVYP8PMxkwQUFxdz4cIFNBoN+y9e5ITJ4lBKSgqLV65k64ULLN2/n/cPH+apefN4Rd+3mzJnzhzS09OZYyNxgTNKy8rQabVW1pbFxcXsMLFucodarZY5R47wqhcWbzQaDWr9WPorO1mN3RmH/vubb1i/fj373Mxu+T8ncyJjX+fn96OreEWIevPNNzl16rKX8dSpU9m+fTtDhgxh8eLFfPDBB944jcs8/fTTTJgwgUcffRSARYsWMWHCBCZMmEBuA13BPXr0KHPnzqWsrIyNKSlklZUhIQsCSqnVas06KV9japLsCuXl5azT+1wrQavVKg4mabkKZa8+dygvL2f79u1s2bLFbOVs6dKlfPLJJ4rjDPgDL6xbx8bUVD7evVvxMatXrwZgjT4Ic0ZJCf9cs4a9+sCLvuapP//0mVhTrdGw8JT9iA2eZFB7cd065hw5wiaFq3gCZSQlJV0xVpFCIvQ+/rqQ15DHT94STRzFKLLEX6YG/r7Q4E0KKiu9ktWvFvCW891KfYiApUtthw2/cOECP//8s8M6HN293nYTdBdXxWhXnNHslTW9s5V6LniKJEkcPHjQq3Wq61DUNdwf0zZuJNtk+/5Dh6ys/tbbSOhjWKx3tmhvq5/R6XQ2Y4Ll5+cr7h8LKitJ1ycIsEVWmavSsAWSREpKCqlpaWi1WjMXZFMcBSq3xwbkGG32sjo6Y31KisP9ErKIlpyc7PfvYFfwihB17tw5YwA7jUbD77//znvvvcfSpUt5++23WbBggTdO4zJpaWnG1JuW/zp06OCTNnnKsmXLSE9P55s//2TW7t1GZdSVoccHO3dyycSsN6meOnR7fPfdd1bb0tPT2bNnj8NB1blz5+zus8WlS5cUizzJFtlMbGHaNlcGB/bMto8fP05JSYlL4pq/kOnBy+H9nTtJLiriP9u3u12HrVfG2uRk0hzEfbBHdnk507ds8Umw8/qwxpp9+LDibC/1RUOePP3yyy/8/vvv9TYwFjQu/HUhr6GOnzQ6nUeCfV2g1mrdehf5K8VVVWSWlvokG5clVR54A2hMFhM9nN4qZt++fUjAHgdllgL2QoH7w2JAVlYW33//vUvH/Im5u6clSixQnNqA1YE19bFjx9i8ZYtX69xWWMhGJ6KDNzDkBtQB6dRPlm6lQezt8cSKFWzWajmJd8R90xhfWq3WzJ1S7cCi0u6d5GSsqqQ3shd3zBG/njiBTpIoKipCq9M5jGnX0PCKEFVaWmrMHnDw4EEqKiqMUfEHDhxIuj7VpcAzTAPApRYWkpSU5FbHssfCpPdfa9e6XIckSZzNz1fsElhZWcnKlSvJzs62KfIUFxebbZ87dy5r167lrIOsBf7ERx99pLisacdn6+XrD4O7+qTcRBTJKi31aryZFxWKehUWwsyhnBy2pqV5rR1KqY9BZlltLZ950S3S25QoTYfuZ3gzZgfI/cR7O3YA8js2JSXF69YxVVVVzJ8/nxM2VkYF9YO/LuTVJ94Uous6mLZdHHyHEhfj2fi7MJ9XWUmVWk1xA4/np9VolI239L+Hs5JKo+AUA85kCNORr9kcyg9c13e7YAFvSqWHIUS2A478J/Lz8owuV97C02exCtgIXLCo842VK702N3bUwu3I7pNHvHKmusdgLXYM8PTNJ0kSqampxutcVFSkOBmOrbmZRq0mOTnZYfB3y2D4lRUVZoYKkk5Hamqqy661v+hdfX3/9HsfrwhRLVq04Px52VN4w4YNtG/fnjZt2gBQVlZGcLC7iUgFppi6lRXk5wNQpZ+YeGpJ4WpnuyYpiZfWr+cNhdm8/vzzTw4cOMC3337LvHnzrPZ/+umnzJs3jzSLyX++/nsqwVULKW9SU1Nj04KrsrKSkydP2u38Dh06ZLXN3wehdclTK1fy6saNZHtqfqtHaYDVZBsr6Hmlpezevdsr8VDOFxSwWYFLXH3FR1KSDcRXfPvtt1b9wJVIZmmp8XfKyclBo9G47cZsikanM/YxW7du5fz58yxZskTRsVdy31RXXMkLeUFBQYDz4M4NAW8+Gel6Mb5Go6k761UvPMt1acFbU1PjP4krdDo0Op1dNx4D6xVUJUmSywHQ586d69JYeC/uBVlXimGc4gvJ11EQEh2QWs9jh/XrzX91y3fkYeRg3jtNtpWUlFBQWMjcuXM9Pr8OcOQ4mOFkv7v4i4uoXSSJ4uJiNBoN1TU1Li8U2hqJFxQUoNXpFHvWVFRUkJmVRarJ2L+yqgqNRuNSXDjzhjU+KcorQtRf//pXXnvtNV588UVmzZrFHXfcYdx35swZvzbjbmicAVYCzh3HLiNJEidyczmdl0eOHbNJV9PgrtNbL51RGJtKqT+rpYWXKxOfBQsW2FWqU1JS+O233xTX5Q5r164lxcLc9qeffmLx4sVs2rSJoqIi9uzZQ60HKzaSJJGbm+ux1ZTpZNQbuFvXnsxMm1krnvzzT6+JUc6wZy6+dds21q1bx+LFiz0+xwvr1jFrzx6/is2WnZ1tN1OQr/F2TIaGiC3XUE+f2dKaGu5dtIj/bNtGZmamSwkDiouKKKnntNNXAlfyQl5gYCCBgYGUunhfSZJEcXU11XU4GXI1O5O7meW0Wq1VvElDPeklJWSVltaplVdtba2VEFirVvtUHPQ3q3BtTQ1FVVU+dWm/5EIWr2TAlYib7kxt1cAip6UsqEPhUgfYj655mV1AiYv3l6NW79q1yzi/yc3NZf78+Wb760pKNTyd54A0k+1arZbs7GyvWGjbGx9u377dzJ28TnHDjQ2grLzcbD6YlZVFtcX3UVqrRqOhurraaPihFNPrZ1zQtvgukiRRUFBAVVWV4/GdJKHT6RqlRVSQNyr573//S3p6Ot999x0DBw7k9ddfN+6bP38+Q4YM8cZprnjSAWv7GRlHK1NrkpL48sABh3W7urJlz6VMpVJ51arD1QFJQUEBzZs3B+QH/Pjx4yQkJDgNDqmk3l27dnH99dfTtGlTu+Us/XYNg4cTJ05w4MAB1Go1Xbt2dXguR53R7t27Wb9+PX369DETfF1Bo9Px1J9/0iw8nPdHj3arDm/xjoO4UB/t3s2HY8Z4fI7zBQV0jYuzu//f27bZ3H6sqIizwIXUVB70uBUy6SUl9GrRwu5+Z0+Ot4ZxlZWVfPvtt4SHhzN16lQv1eoe/jbpaAhsTElhZKdOLh+3/cIF1Dod+y5eROdi3ItcF9IvC5RjWMg7efIkP/zwAw899JBxX2NfyFOpVLRo0YLs7GxCQ0OJjIxUNH6oqK0lTz/R6mDxPq6trUVrY7GnVq0mQKUyWmFZolapqA4MNH7OcSPOVFZhIa2io63rrqmx2SZDuwCCg4PN+v/q6mq7xzhDiQuvtrYWtVaLVqNBC6j0/bAkSVbb7KEOCKA6IACtTodWktBotYQHB7s1BjR8V0mSUJuIYFondVn+bpZIkoRGo0HCuZWQpfQmSRJatZrikhJWJCV5L2aNknIenmc30FxhG5Sey/S4YncaVYe44ly+wwVBsQZwFrykpqaGoqIivvrqKxda4T6ZwDagCdaB3Q1W02VeWMj99NNPefXVV622bzLxhNGCWVB0b5N18SKVlZXEx8URExtLQIAy+xlbsapcCW1g6MMqKyvJdCGRkuEJsey1MjMz6dy5s7G/BygtKTEGdy8oKCA4KAidTmfzO166dImS0lIiIiIUt6Wh4BUhKj4+3pgBy5LNmzcTFhbmjdNc0Wh0Ona4eexmBaaqrgpRphkFcisqyC0vZ/38+URHR/P444+72kQjmzZtokePHsbP7loA5OTk8M0337jdDkvmzp1LRUUFZ8+e5cUXX7Q70LK33fSlkOpB1rKtW7cCcvZEJUJUbW0tu3fvpnv37rRo0QKdJLH6/HkuVVRwqaKCY5cu8emePTzVvz8DWrd2u10FVVWU19aSXlLC+YICxl91lc1rsX37drTAcSDBSZ2pxcVIkuSxsPnCunWsmDzZ7v6jdlYaDYbw/pEk2bsYXtK+tog6ceIES5Ys4eabb/ZpO7yBo76qBNld4hqglcL6HN33n+zd65YQZVrnJmA4XjKLFrjNlb6QFxMTQ1VVFfn5+Q5jb5hSoVYbs6VJFos/1RqNVbY7nU5ntDoKDg6WV6Utnq/S4GBKQkKMn3PdsCgIVKmotjFRKK+ttWtNY3BxCQoKMns+peJix22QJLT6xT/LiUtNQQEhDsQZgPzKSjQm1lgGyztJpzMG8XZmjXcJiA0LM7MeaxIaSpgdsc8Rhu+q1WrNFieCg4KMv5Wk06Gy+K5lFr+bLYqLi6lGnjQ7wvJqa4BitZrtGRkcUmiRtB/oj+NFJe9GE7SNFtn6py6QJKnO3htn3DzupAtlNS7MK5Jx/nvpdDr+97//udACzzBE6Kpr+2QlrrHHMbfIAtvjyhNAOyDWxTYYLLvy8vPRaLVGQwNHaLVam0Kcq7NJrVbrVITSSRJZWVlERUUBkIP8fNg6V0ZGhplHjGWGQbVGY+aqb+BEbq7RGt0boUL8Da8IUY5o0qRJXZ/iisBZOmJHk6AgBQqyq4KP6Uv2seXLqa6upmdpKU294Lphar1kz1qiCNn3ujcQb7K9rKyMn376ySOxxxaGzrCiooKff/6ZBx54wO3sEO6avOfk5Jh1YocOHTIGubXHxo0b2bdvH1u2bKHHPffwk0Wa+f/Tr2y8vW2bQ7FGCa+sX0+6/vdvGRXFX/TuJaZs2rSJJGQT6lNANwf11Wq1vLtjB9NuuMGjdvmCrNJS1iYnc3f37sSYCPHOnrO6Mlwv93IAT29hiE20evVqs+0NMRbRmTP2h9A7kVeQNwMTAcdTRJlVq1dTVFTkVdesyspKqqurCQoKIgc58Kv1U6oQval4gJMJr8AxV/pCnkqlolWrVrRo0UJx3JE158/zh36BbVj79ky+5hrjvgNZWfxgkeSktKyMQn0YgegmTSgrLaV58+ZERkYay9zUsSMTrrrK+Pn9P/90+bvEhoUxc9Qoq+1LT51ivY0FQUmSuHBBDmPcunVrs2f9tm7dWOFgEbGgoMA42bJlNffVrbfaPbaspob316+nvKKCfL34F9u0KVWVlURERBhjoLhjjdc/MZHHnIxLbGG43rl5eVSaCHBt27UjMCCAvLw8KioqiIyKMloFREZEMLJjR+4x+d0s0el0rFy5kpUK2tAV8zHJCuRA865k5jsPdMR8XGrKhepqRYvKFcjjAU+W4exFlXJ1cS8Z6GxxnLddhFQqFUXY9/rw9rmUoqRHqmur7vqKHeoOroSJ2Qjcrf9bq9Vy7tw5OnToQHh4uKLjq5SIMJJEdrZnNlr5lZWczs+3cpm2haEPNswR9wBdKishJMTqGVESlsVy7KuTJKZt3Kio3Q2VOheiBJ6h0ek4X1BA+5gYh+UcTdsCTTqxivJyysrLadGihdkqmqvTPlsdYyFgz2nNXkeahfxCSzTZZpo1a/v27XTu3Jn27dubHbcFORtFDjCZyy/FtWvXKuo8PCE1NZWFCxfanCyfP3+ebdu2ceedd1q1WSn2JuGWFl4rVqwgoWtXZu3ezYQePRhkQ/gxVfMtRShvk24iQmbaESTzcC1w4i6FJrH+9qJ+fs0aavQpu01FZF/IKxqdjskKg1ELzNmQkkJmaSkP9enj9B5zlEnI1CB8JTBewbnPnTunOAuTEvadOsX/LVtmts3ZIFuSJD7Zs4dSG5kML2ZnU15eTvv27QkNDfVeQwVGrqSFPEO8KCVoAgPJ14tWS5OSuLl7dxL0K9IEBxv3GSiurr5sXaT/P7emhk4mVoXVYCb6WdahBCkoyKZwWBsQYLM+rVbLRX17QmprMbXrmXvSvo2HJEmkFRQYhbsoG3WvSE5mQs+eNo9/fNUqStRqyqqrydaf39AOCguN5WzV64wKSTJeg1qtlkB9uIYAB/3n+YIC4/W5VFVFmYkQFV5bS2BgIOcN8RVN9nXp3JkqcCjWarVaNldUOMy2ZuAiYLALVyOPL93BkWx1RKGlXRZwABig/+zOGMfeeMN0jHke5ynn9yILUYbjKrRa3JkaO/sO9RWaXulCVxauWVrVFYb2ViFbutXVaNeVgPjuUAMYpJgtW7awY8cOWrRowdNPP325kIeLkBf1rnyKsHOu5+0sDCklubISVUiIW4HFq7Ras3l0XSaE8BeEVb6f893Bg0zdsIGvnMR4mrF1q93gzoEmglPWxYuUlpZSaDLYANctEAJtPGCuPi61wFZkUcnRi3DhwoVW20wNPw2rSzXAMa3W62bPttJs2rN+OHPmDCUlJfz8888u+RWbIkkS+fn5Dv2ZzyObus7avZuzBQX8x0GsJYvKbW7WeVm8s3c/1YeuX1JSYiZm+oIa/fU8nJPDMZMA5b6w9KnwwBqqoraWOYcPk+JGvBRvUVtby+rVq42WA96mrKzM7sDl0717WXL6NKfcjI90BtiHuRDlnh2lci5dumSz75luY1XNaTryyko2paVZmZDDZffOYh/eGwIBXA7sn1FSwns7dzop7Zz66Kdra2tJTnbFnuAyebm5Tq3HHC08lRhcbtyYKOl0OiQFFiBJhYXcvXAhd/z2G8+tWkVRVRV/nDlDmYW7T1ZpKS+sW2e3HkmS7P4eOp2OVUlJDo/dun079kvYphI3AnGbntdQj4duNOetKpZcsr5Rchfvd6VBejYXFXk9Y54kSfhLKhdD8oitPm4HyEKqIYvw78ByLos53uaLL76oo5ov87v+/5N6od00kdWSJUtIS0vzqP8tdyD0WsVGs+NCZ+na7Sp5ajVqN63kGqI3gKcIIcrPMbxklcR5+u6QtVHrsUuXOGjDTLGoqMhMfHDl1j+ak8MJGxMzQx2WVkmZmZlWSnsBYJqLzGWLLJO/M5BfGLuBo3hf7Pj+++9dPkar1TJv3jzj57PILxAlIllKSgpffPEFs2bNsltmP3AMOKcwayHApZwcUlNTrUSn0tJSkpKT2a5UzFLAT8eOcdrGPVLXYal1Wi2XLl3i0qVLXhXXfJ7tzsFgXAn5+fkUWYjPSvju0CF+P3PG6QpRbW0tK1ascHtiBfK9YRCYTb/rtm3b2LdvHz/88IPbddujpqaGWbNm8cEHH7AnM5MVFi49BtxxbdQiuxm4Oglyh2XLljF79mx0Oh1ff/01s2fPtnIdLrAxcXX2PCpdjSstKeHECVfCxQoE3mfmDttOTzblljoY8LtSoy0rQ6UUKzzWWRamWhcnXJIkkZSURFJystP30S8mQlhGaSnTt2zh+8OH+WCXeeQiZ4scKSkpxom4VXuwnV3UwIHjx/m/ra7LCedcPsIcw5X5+uuvPazJpE5JIufSJZcs/utqSltVB5PsI1VVigKO17Xtu06ns8p85whHv0YOngfy3rBhQ71lqMtC9lioS58SLXLSnpNqtXH8UalW89K6dSw6ccIsmLcl1TU11FRX872Nua47SMjxbb0t/lzSjxfdulf9zLujPhBCVEPBwYOSkZ7OuXPn2GQjC9Kne/YYj79oYtkjSRI5OTlmn5Xy+ubNDvfv2bOHQyYdxezZs63KuCt5bNF/R8tHNQuMptflyJ1dHnXboTqjuqaGE1zu3Mtxzf9dSbwMV7rPktJSORieheWc4T740SQThjd4ZcMGr9bnCMP9YHo9vGnSOm3jRp+uVKSnp5OcnExBQQHz5893yTqosLCQwsJC8izEYCVRL1ItJgk1NTWcO3fOajD86aefcujQIebNm+fQEvDSpUvs3LkTjUZjJVptQl4ts5RW8/LyqEH+bSVJotqLacVNLUPf2b6dbw8dYl1yMj8fPcqq81br0T5Hq9Ua46eUlJSwevVqCgsLOXr0KJmZmaSnpxvLHjx42Qk2rbiYYhsWs1k47iOVxBesqq4m59IllixZ4nSS5Ovg+ILGiaFvLnNBMJaQV+ML9P3i8nPnOK9f2PF2T2/r3WG1TeH7xTIFucPzOthXUlpKgcLFCZ1OR2VlpTG+pSRJTq2iLN2wUvRB5Q/n5LBfPxbNr6xklmGMiryQZCv2ptLYYZbM2LMHV5df/kTZu1EJlgGTD589y0E3rWsXL15MqRdisLqLp+KcM064kNGsLnE13tMf2I/h62xErcQRbt++fS61xxO2Ii+au7+cqIxnV65ke2Wl8Z7689w5zhYUcFjBsRfS0/nDzoKhO+RXVto04vAKXhCVrgQLKSFE+Rn5+fn8/PPPVhPNagcrV1UmHbjlTZurNw1WazRWJovlFRXGwc+ujAyXb3idTodaraawsJDs7GyzQY8z1yjLM6lxPinSaDTGrHHOWAas57LZsS8e5WxkqyXTFucid/SeZGIz/S7OsloYflMlBuLbgf/t3eu1jk9RLV4414ncXP7Uiwam3b6S7+GK21pd+2pLksTujAyb+6pratDpdCxctIjz58+7ZB1kaxCvAgw2Tps3b1YcQP+HX37hgwULWGPhSmHqgmBLeAZYunQpX3/9NRs2bOCdd94xsxgEjGb5a4Hz+vr27dvHznPnWILsgjtj61YmLFpESh1aqP1n/Xo+XL2az0wmSGcLCkgpKvKqCOYICfvpsTP1k7gFCxawb98+5syZY9xnmnVsi8nCxN8tgsEbuIjjGBjBCoQoJQE4Abbt2sVz77/P6zNmsGjdOtIssp0JBEpxeXhvY0Kg1WopLi42E2NeWr8eqNu+XqfV2uyTs7OzFVm7pNt4R+h0OtQ2nkNb78Cj+oWnIgUutaUlJVRXV5OdnU1mZiYFJhbYnlyht7dtA+TQAqYWTVlZWa6NP/Rl7Ql9RW4IWKVAistHWZzbxraDFy8y6ddfPazZdxwAdp08iVardXuM6OgoT8edvpquVwP5bopo9h1SL+OL+KeO5guOYmEqJScnB61OZ1x0rHFzXOWtucqKc3UtsyrH8t3T+GUoIUT5Hb/99hspKSlmE82qqioy7ExQTckGHl2+nEL9itlWvTlzbU2N3SxyF/Vue5/v389eG7GQ7FFdVUVSUhKpqank5+ejVqvNRCRHnWcF5jGeQF452AoOTXNdWakwyDMpyALLGtxzC3PlnLWYi2m23PBqkK2jttrZ7yoXLlwwuqD96sA1ZpmDOkx/qfUpKZyp44CFpmRdVBJC1DGv2csoYdKh78/K4u+rVlm5AUxZutSsfE11td3f3NbkpLi4mLNnz9p+ITqpz5JD2dnG1eHq6moK8vMpKytz24XWgNmzqG+nTqczpv7dtm0bO+y4tFgyLyODbcAcJytIlvHNamtrOX78uNIms0R/D65evZrT+m0ZwMHsbEqKi3npq6/MhBZ3kCSJXSZuIufOnaOgoIBLly5RXVNj5k686NQpnl+zhju//ZaVK5XkX/KMi1xO0WyPbH3cpgqTBYZVq1a5fK40B/uUWkwYSE1N5YsvvjCzzDIwY/16diBnEHx9927+vmoVtXWcWELQONFoNFzUx7s0xdaoQ6vRcMlGjDMzDP2iiy7QOp3OrLySY5OSk0lNTaXIQoitqa11O1jwhbQ0UtPSrPpd09ZIksSJ3FynFu2m5Fy6RHp6urGPsWWRU1VVZSasKb1+a5KSyLKwGKpyc0L/m0Vgd0PsF3en8J4uN9i6AtPdcBH0N86mp7PRjzJ4VarVfmEx0pADSh/Vzw0PKbQKWmexCOlONCWDV4bhqjlKZGCP9cnJPPzHH2ZW+wUexmSzwsPf1Z3+x98SL9UHXhOili1bxoQJExg4cCC9e/c2+9enTx9vnabRY/qi37dvH/n6lLVKyS0rY57eN/9DvXLtaHBjagbtSkBeWxOUApRNlNfa2Gb41rblMmtceVQzgCIum8FmI1sBOGvrhg0b+Pe//634PBuRBabfkFN4OnOe+gPZFcnVUL+W7dboJ3O/uDDRN9ZlI1ifEquPhSdPsvT0aaflnOHKvW0PJffc29u2kVZSwn/0K7EGtCYvmrLyci6kp9sVfW0NNj799FN+/fVXztlYUSmvqOBCerrZpNzRS8ZUAExPT6dAb2noqVhXrmBVeJvFdQHrCYVGozFaLSXpdBw5csRu7I7PPvvMYV3OKC8v5+jRozb3XcrNRQLF1pH2SE9Pt4prZLribxljTKvVkpKXx4EDB+rcxSxNQZmlKLN0VMIGbLtLf/vddy6J8b/88gv5+fnMnTvXylrT4LBpuJsvXLhAhYdBQQVXJufOnaO8vNwsvADY7l9zXXSF+u/27cb+SpIkm7EGtfpYhElJSWb9u6N4RUrQumkZoNYfV24h7Ji+sw5cvOjVNOCSJFFUVERGRobNhc5kJxZXX+zfb1w0dZfikhKKior48fBlp56jOTk88PvvbEjx1K7JfbZxOSmFJEl8UY/uVZZ4W6g5fPiw21Ya27dvt7KgLa+tpbCqyuU6LwETFy/m6wMHcC8tUMOirqSue3/6ierqalasWOHScWrgiIfn9uQ7/W/fPgqrqvjHmjU8s3IlM7dv5+E//nCpjqrKSrvPhyRJXpmfuIqtgOqNnSBvVPLBBx/wyiuv0Lx5c7p06UJkZKQ3qr0iMR1IrV69mkIgyoXrmZScTLBWy98HDgRk02pHWQRMUXLD78nMRKfT2YxTkA5EAX2BEydOcMMNNxASEmJWphDzDFJWbXCwb/HixQ72KsewHhgDtHFQbqeL2XdMh11Kh0BVyNZgd7twHm92SxfdEDlO5eby89Gj5OXlERQcTNOmTZ0f5CLq2lqysrJo2qyZ23XYEo4qHYgyBhHYnruj1sHzceHCBa666irz+vTuqUpdl+ytCnkiepwrKOAVE5FJArRqNSUWK9uWz/7ixYspLCxEm5jIpZwcops0YcYnnxj3a3U6/tC/9EeNGmV1Xk+zBYG8uOEMSZKsJp9qtZrdu3dz1VVX0bJlS7vHWsbvUHAy4586nQ6dJDlcyXP3Oc3CuYgNsgXmCWCgm+cxUI7JpAlrkV9pcFw1EGzy+ZtvvuEf//iH3fI1tbXk5eXRtH175Y1tpCxbtoxffvmFCxcuWFm1qFQqu6LslYrSPhVAozDWouG+35OVxQ69uJSRkUF1dTWBgYFotVri4uKIi4sj99IlyvSLeKbvi7LaWhYcP87ka65R3D5naDUaKioqiIqOdjoxsuxzTPv1PZax+zyc4BTk55u9R6qrqggLD2dHRgaPVFS4LDIpdQ83xeBeWGJiXWaw+PrMh+IPwF5gJLKl85rkZLeTp1wC7L/FnPP1gQM8PWCABzVY4+7k+EJGBhs3buTmm282bpu8ZAkARQqvzzEgQf9/U+SETnXhWOXKN6xLqcAwvqnLc0xeupRudvblVVRwJj+foe3amY13TgLeCqHuqRVQRmkpGSUldmN12aOwqIiAgADCwsPJysqidevWxn1FRUVuW6iC/IzUuJHkxizOrU7Hxk2bbMbNa0x4xSLqyy+/5NFHH+XixYvs3LmTzZs3W/0T2KempoY9e/bYjavkqtnn6bQ0vtbHBLGVdtsSw8DX2Vmqq6v5z7ZtZGVm2n3gDR1TcXExX3zxhdULy3HuLVmYsbW6UVlZaUyp6i6bMXeH85dH2xWbAB1ySngzHNwftgYMpl2+rYGto/tgz549fPzVVyQlJ1NUXGyMSWNYHXU1C489LuXmUqtWG10qNBoNZ86ccRoTy5QLFy5QVFjotRUFR8+hJEnUarU8v3o1X+23nxDZ0JadO3daZUKpC5Pc5WfPWsVHMY0jtBXbv/fJkyfJzs7m9OnTlJSWkpmZyUI7k6ANCoLSe+u7FesnHoY2L9EPYk3Zvn07mzdvdpqxyJU26XQ6MyvQncnJ3PDZZyxzkCLdEY56ZSV2XoaJuJJhlyOXXUusJrIon3QswjyulWkMmmN2rtOVZ4RuzQcffMBdd93Ftm3bCA4ONoodhn/NPBDjGyumz25+Xp7VfVtRXk5tbS21tbWK3L3y8/PN7nNTF2m4LMYWFBSQk51tFKFsMd8L2SNNg4FnZGaSo7e+yraRAdmUoqIis0VC0+vi7feL5WJGekaGMU7V624kPknxwILJkGnrvAtZhOsaw0ilQt+2VAWZr23hqQ2bIfO2v2BpxegOdT2jTAMWuFB+nV64lpAX27UoC0SuhPpw1arWas3Cd5zictKYx5Yv5/1du1iXnMzevXuNZbwZpdMb3zArK8utrM0FhYVkZmYas6MbxksuL1SaIOl0nD9/3q3kAqbzjBMnTrBr9263DAYaEl6xiCooKOC+++4jMDDQG9VdcaxZs4YjR45YxWnxRCj54sgR2rRxZO9zmfT0dLp1s6eHy1RXVzPzvfdQIgXpkBXO0tJSPvzwQ0VtMGUbcJ/FNm+ICVouBy9vaJzUx0BIB3y5Nr527VpUWMfOMqwe5IHZvbTo5Ekm9OwJKHPDKysrIygw0Or3Xrt2LQcOHKBjx448+OCDitubl59PdXU1rRITnZZ19jJ0JkTtycwkpbjYmB3IFrsyMugTGWkUb9566y3jvgCViprqaoKC7HfLm4E7gAiTbSUlJSQnJ9O7d2+zYw3BeC2vpen3yEJ27zLYXEqSZJalpcbLmWxKkFMadwHceVsY3GwMGTFPnjxJSUkJ48ePp3nz5oD5QLeqqorw8HCrenQ6nUsDvIKCAopNftcXly+nVqvl9T//ZIIb32MjcDPyiq47GFwiU4AeQBM75RYuXMgnOTnGa+MMW3e4PfdLW6wCxiFbm5ry+++/K67jSsOwkPfNN9+IMZRCTJ/cwqIiLl26RLuYGFTI7hauujMXFRURHBxMbGys07KWWWdBdhWMioykRcuWDvtvZ5RXVFBRXk5efj61tbV06dLFJesvgMzMTLp07QqYj5vqQ/Stqa0lOCSEbB+t4L+wTkn4Z9+g1LK0rjmRm8vc5GSaIIepcBV3LNcMeMuqR40s9HjfFh9yysvZ5byYGTuysxkGnEcO6u4KFbW1VGk0xEdEOCxXlxZRtjJgbgbuMTnvR9u30zY9HX+1X65w0wrfcnz8y/Hj6HQ6lxa9LVHqheQMp0m/bHgENES8YhE1dOhQTnshXsyVikHFraioMLupXPPYtcZegHKbOBF6HKVkt8Q02ow3XHTA/fS9ltiaVm/HvmWIr5k3bx46nc7olui+Rq8cd0Q/U3cSU4ubn/SWEDU1NU5FydqaGrKzs8mwca8d1seASE1N5fTp03Yz/thquenqdYVazQk3M65ZClGHTeJSgHkKX0mSzCYQhQUFZGZmciAjg9GzZ9tcLSstLeVCejrJTlaGlyELOga+/PJLVqxYwfbt5lF+Vq5cyf79+8kz/b5OftvzKSk8v2YNBx2Wcp+VyMH6PU2+m6+vB+S+yZDcoaqqysxy8v3337e6n3fu3Mk777xDlivJGSwEOcOkwl6/JOHcvc7VtOL2WO9gn6NnxRbe6ANdWQn2xz63vhELea6jssjmaDppsHxWlWL5LLvqllFeUWG04JUkiU/37DHG6zSgxBok6+JF47vDne9i+p5qCM+XJElk2EhuIDDHdScf20zbuJGTJSXswfWF2U1AsUZDvhcsz3SSxIqz7o8E6ure9iRumTvfZtKSJTzyxx92z1sfQoMtaz3L+02r0eBasBLnZCALd5luWA4ZkSSyvWAxJAFf6r0ZslyY73obS1GwIfThnuIVIeqTTz7hiy++YPny5S6v3lzpbNq0ya4JoOEG9JaY44jqmhqnCrBSo0fLLqEMWV1XlpPBmsrKSj799FM3j3ZMLXJnmIV1Jj9/IDk5mQsX5CltDa6/6CRJcmvCW1pa6rYVmq2Jb6GC7FuOxEbTl/HChQv53//+51bbAPsBW03OYcsn21KIWr58ufFvy2uVffGi0V0AIL+ggMrKSmNgW8t12/LycishyRGrTf429LmWrg2HDx+WLQRMJjNqfbwRW0iSxIojRyjC5D6ro0FQLrJgfR65n7P3zS9h21UXwNThoLKyErVaza820mNb/jYbNmxAp9OZZcxzhisBu0Fead7rtJRs/u6pxG6v19biehpyncXf7jh1WPYajjKWXQmDLGeIhTzXsRoT6fspjyZtJv1EUVGRoneWJQbXtLTiYjakppplc9Nqta67ania0r6eA91qNRpycnJsxhC1R3V1tdvZ8kyZsWWLy/10feCOe44lGsAbEVIvmFj1umuzpuS9poR1ycl8qzBT25WAM7dSf5qfSDiO9esK54BtHgjRGo3Goau0UpKA1fpFTG/0R+7iL7HJ6hOvCFFdunRh1KhR3HnnnURERNCkSROzfzExlob6ApCtOywnn+6u5lniqgVReno669bbX1vPrqhw261tF/LEzCq2kY9JxnurTHWJYXC1BzvtNRl8a3Q6zhcUGEWT87W1TuNymaLRaNiwYQMff/yxVfydfXaCf0qS5FTEdBbbwkalZh+9uSqkVqv54osvjN+npqaGvNxcs2Citnyynbnm6SSJ3NxcysrKXDbN/e2331wKSu7ucNuWFZDhW82fP59jXohvYolGo2HNGvO78CKywLQf2TXQdp5C1+JjbNy40SyDlS22pKVx0sZ2Ry/0goICl820lUxhM5AziLryfLrCSeQ+A6BI4aR6NZf7mBTkYOiecu7cObvZ/a6EjDDOEAt5ruOK0KGUiooK1Go1OTk5Zla9rmC4m2tN3iWlNTWsczP+UYGHlie2nq7CggJSU1LMFkq8xaXcXEpLS0m3kXlWkiSqqqqs3YC81Acs2bOHpKQkv3GBM7Bk6VKP+7mFXmrLc6svL2G5u7xdjfsTYNPjkk3eSRUVFXWeiVYpvnR02p2RwfOrV5NVWsrm1FSO6xdxioHlDo+sG0qREwEUFhaajX+34z8xdr01gtjvxbo8YV1qquL+wtX40f6KV2JETZ06lc8//5y+ffvSvXt3q0xpAmtqamr46aefSAJSgWFAqI/b5OimrvDAL7wu7LncfVmYTsdKMO/cfflI5wH2orgYOiUljkR3/vYbAPf26MEDffpw0sYEuqCggKjoaJvHp6enc0ajoQNy/J177rnHuG/16tU2j8nJyXEqfCpJDWt6/S1XJJwJUVqtVrFrS0FBAfmlpfL36dbNaHHmtH1OOv3U1FSKi4vNYgkpxRXXV09w9DslWQQ1LQDyvbDCvGfPHis3RlOK7Wx3VZI3DaRpiunvNn3dOrKBRJTHl7CcDKYjWxvZIxs5o48zDFJnXbnbmopIeQrdjCqQFwx6451gqxqNhj179tgdRDeOYZRnmC7kqVQqIixihahUKqexIq40Elu3BhtikSeTyFq12rVwBgr5+ehRSqurXXIFNuDpyvzkJUtYPmmSeXB3HwX0LiwslMcekZHy7+dlDIsFlZWVRNsZ39Q3GuR+PqiRTBhBHjdbR130DHeeDQNqN8T7fJ2OpMJCungxEYSnzmE6SeK/+jjB/1izxihmD1WpFGXRrQv+BNCHdjDM649h30rdIxrRM+IJy86fp3ebNgxp2xZwL45bQ8MrQtQPP/zAK6+8wsyZM71R3RWBwfLJYGNyArjOZ625TE1NDaGh5pJYcXExq/7800ctahh4uo69HusA7ZaoUD5xW3TqFPf16mVTPNFotXazS2g0GnYhp2G3N1S0lDKcZZfwxiq/IyEqLy+PoqIimsfH06QOrS9tXXs18gCkt1brsxU9Cftir6sTM9Pya8Hu4ECNLMi0s1OPFtk6LygggAv5+Wbp0S2xZyuw1GlrXUOSJKNlnqk8K2E7wKi9Z22Hne0GfJs03HPUyK6Z7uewuszGjRuprKy0a8HXWFb0PEEs5LlOgJ8GaNVptVZ95prkZIqLirxm7e4qO9LTuaG970MMG1z2DdbC5eXl5Obm2gyU3FhIQc7A1sWHbVBqDesK7ua9q4ve3t1shP9au5YVkyd7rR1bPDz+pImwXmth1ecPvZ1hHO99m3kZd+6NRmlRLUnMO3aM/omJpJSXO4zL1VjGT14RorRaLaNHj/ZGVVcs3jeSdh01cirpV155heDgYOP2jRs3+kVH6M9YJ5F3D1sT9jNnnDs1GrKAGQQbSZL49NNP3RZHtgJ/BS5cuEB7k0FsBbicUeSbb75RVtDDmFR5+flERUU5LW8qarlixr/9wgXu6t6dapPMdruQLdWkS5e4rlUrl9ptYOP27VxCmcWbJbt372Y/sn/7gMxMhp0/T1d9xiR3cOU534Ft8VQH/AEc/u03OY1tUhKdgL/YqceeW567SMirSLHI2QVPnz5NLwtR1vDXBeQ4VJ4kuLa0Zqz7iH7WnAR6mnz2dGrnrWD19qzUDDSOYZRniIU817HXT9VUVyu2/qsLtDodF7Ozze5rjVpd71ZIpuOBlKIi2sXE+N2zVh8pyX39nZVYxtY1vnweLNkIXOXNyXMjmYgD/GEncPsWjcahBfaVSFZWFiqVymYsV08oyM8nLj7eq3W6SnpGBgGBgcw9fJhsL2Xf83e8EiNqzJgx7Nmzx3lBgRGVSmVmReMP3WkqkKTVWsVH2HjiBJt906R6pRp5QufORNIbv99JZEHL0gnj4EF5Wmhv8K3T6UhKSuLChQvGeFI6nc6ppZIz1oAxG5lhEu/OBDXHwxW5VefPW1lEScDSpUs5cuSI2fYLCoIemtZ0UaFJeGlpKf9dtYq1p0/z/vvvM2vWLC5yWTw6WV7ulli7ZcsWXtq0iY245wq1bt06o4iyH/h4/nyz/b4QkNVcdqsr1IuEKcgiZn2Qjrw6+Yf+85IlSygvLzcTojbry+3EMxEKHGetqy+OWnw+5ZNWWBMQ4JUhRqNGLOR5zvxz56hSq+1a+tYnln2NrSywdU1SUhIp+mux+PRpnlu9mlQXsmcKPKeYhhGDtD6pAo560XLc03F3honLc2lNDYeys/3OyuaCJNHoc0pKkktB/SsqKrwuQoE8XvW1G7xWq6WwsJCNqalondyLjcUiyiujxDfeeIN58+bx6aefkpSURGFhodU/gTlqrdYrWTC8zW7MLUbmHD7MRuxnZlKCO6+dDOxbSmQh+957m7XIE7otdvZL1O1k+ijywMWWm5AjyvWCU21tLUlJSWj08bzykK09vMHatWsBF+4Dkw5yMcoGZPa61K8OHDC7JyVkkezD48dZ9scfZmUVZc0xqUtpDI6cnBzKKyr4ZcMGQHat3WJawM0XwtatW922oMmx8SLeCJzIzWWJCxnhTPGGcGVah2mQ7z+si3pMAdaxpAxTUdNf5KOPPrIaYDpzsXMXT66ht3KnebIS72mOJ1Pr3vpIPd3QEQt5bmBxX209fZo5Bw/WSQBuT3E1cYy30Op0Zn3eOR+OwyVJ8suMdvVGI5kweoNKP7oPnlm1CkmSOJKTw5SlS3lryxambdrk62ZdcZRXVDjMrluf5OpjYvmSoqIiNH6WdKEu8YprXp8+fQB44YUXeOGFF2yW8bdMFr7msEW6ZsvXVHG9tcQxP9rJlFbXGHIJ3gS0RBafmiFfp611fO5iO9v3IU9y/wJ0Qp5wJQNtvXx+V4cshRYrnWVlZcQ0aeI1S43y8nKnLjaWSEBtTQ3Behe2IuTf0RY6nY4AlcphDA3TCW2lvj64LDrUF9W1tejwkoLvIU+sWEF/G9unbdzIuXPn+AvKsreBbE0VATh3bPQv1ur/N3URdDd+hS/ZCwwC7Id0rz88vX6ZQHf93xonSS78bfXZF7zxxhtMnDiRyMhIxo0bRzMbAXRtbRNcRqPRsOOYPzhC+ReSJPmFGJxpI4velYSzfrCumbV7Ny8MHnx5g4/73Z3p6azxhvWiF77HbydP8svx4x42Q7zHPMFX8fP8mczMTHo6ie2n9SNR1xO8IkS9+eabfvGya0gUOzD/KwFW1V9TrKisrOT8+fMkJiaSk+PetOQi8uq+vUxwSilAtqjajWvBuusCw2vzGLIQdRDZ5chf3GAMVFVWejWY60cffQTIlidKrXcqKyvJysoiSJ/JztHvlpSURPP4eGOsJ0fokO8FA0plUp1OR35eHlFRUUaLFeeRt6wplyQWAZ1t7Mt1M+W3J9iS9w2DXqU2FqnAef3f17vZjhLk56MH/iHS2cLVxZD6XDxJBvrV29nqljzkGF0tke8FR89+YzEt9wSxkOcdzpaW1pv7b0PBXybIlpbH1T5K7OEr0hRm5q0rNqel0U6fyEWn1Vplgq1v3t3pKASzcrxxd3sqQoFnWf+ccSXMrK+E7+gqZRUVnDrleHbpL/27p3hFiJo+fbo3qrmicGSmXP/TWXPmzZsHoCjwsz226P/31NjSEHjY8Lc/YZDovK3le/o9yysqjJlpvIkrWcwM7oIG81Jn38lRQM2ioiKjK0Ym4I7hbFFREcUlJRSXlNC0aVNKgUNu1JNSKUtx5yy2S8BBH0wWbRmRp6S4lu/M82EYrEYWCUuBQC/U5w7ngDAH+w3upUqprq423seu4O6gyt/6N0/YjCxEjcSxW25j+s7uIhbyXMffr5a/CKz+OlFJv8ItpHzBj0flSIK5eXk+vT+9emY3v4dWp0Oj0RiTzgh8i3/2Ur5FyTXxl/eMp4in0EecdDDB8fUgS4s8mayLYHCu4mvDQ1tuWJXIViR1RR6y2NLCRlsaCt7sHvPy8kAvirobq8w0AGFRUVGdBBEtczEWSAqeiTYF+fl4e13T1bhJtUAIl+/Nus+DZJsSbMdWOw90Rb4fdx523fHtYna280Im5GHbSq0+OIGcOc/T94e3nl0lixCNYxjlGWIhz3W8afFbF0zfKgcQ8HlcpEYyUXGF2tpa+Xv7+T3iKyp9nInrSFWV18NZuMOFCxfo3Nnatr2xTO4FDRsJ53M+n79fvITbXhS9evXi999/V1w+Ozubf/zjH7z77rvunrJRUWlhPWHo+sqQ44X4El+6BfoThcCvmLuCGdhN3aZp32Dx2dUA5t6m/vP+mOOpxYCvYzTYYg9y1jZ3KfCDJBCLsZ84ICcnp94mQvaG1vv1/xYAy+q4DRK+zaB3DBpcdp3GMpASCEyp1r9v0hVkca03JMkvFhfrmoKCAoehLwSNB09GF/bcnV3J3ibwDiKhmW2chX1pLJKp20LUvffey4MPPki7du2YNm0aa9euJS8vz2gKXFVVxYkTJ/j++++57bbbaN++PQcPHmT8+PFea3yDxs4EzTue055hsNXyl6m7L3IYXODyb5GK7yd4lq5g9c02D4/3NG9QaVkZpciigjfwVj0GSktLyfGTrB/1jT0RqLS0tE5cRG2xxcG+8w72eYsyYEk9nMcZxYB7+RJ9w5W6+iwW8uoGf7OBqa2tC9tb5WTn5BjF3orKSi5erD+b1by8PPl8PnjGC30cA0nQcBGLI4KGQmO5V912zXvzzTd54okn+OSTT/j+++957733UKlUqFQqgoODjS9gSZK44YYb+PXXX7nrrru81vCGjtbOy9n1iCR1w1nkYNy+JpW6tTyyh6UgWB+TWVto8A9x0lUsV5V24FlGNi2epaS3xHlYdIFSGser0DOO4zgWkhKOeqEdJ71QhzfR4FiE9tcYNnWNYSGvadOmTJkyheHDh3PttdcSHx+PSqWiqqqK5ORk9uzZwx9//MHatWsZMGAATz31lK+b7t+oVH7hjlZbW0tISIivm0FVVRXFxcU0a9as3gOEG5KPlLoRZ89TfH8H+Bd5ubk0byEHe2hU16YunnU/6D9MaSyZ0QTep7Es5HkUI6pVq1a89957/Oc//2Hv3r3s3r2bixcvUlVVRXx8PFdffTXDhw+nTZs23mpvo6FtmHlY3UrkF4S/rOj5gwgF9q0trhTOAnWXj6N+8cQpYLHXWiHwNqt93QA/wBuhd5O8UIe/sdDJ/it1kC0W8jzEhqu2Vqv1G2EzLS2Nbt26+boZAGh97JbubuZlT9Bqtei0WqoqfbGM6X8UFRcTGxtLsB+Io97EP552gcA3XPEWUaYEBwdz/fXXc/317ib/vvIIDTD3iszD++5CAu9hP6db3XEB71hJCASCusVXAcobOlfyREIs5LmPrQW76mpv569tJBhEuysseHdScrKvm+BXGPpae7GRBDJX8jtJ0LBoLPeqyJrnI2yZ1CUBwfXfFIECfPHq9heXvMahuQsEAn+jsazoeYJYyHOdhiCp5Of7YvnKBpLkd+5GAoEBT6wYNS5mKhYIGhONxaJcCFE+wl9MyAUCR+Th20xgAoGg8dJYYhwI6hdPs6jWB/6SCaqouJjKqiqiojyJ0igQeB9JkkhNTXX7+Eu53k9lVFXPsdQEAndpLDqCEKJ8hL1g5ULfF/gT/mKVJRAIGh9CiBK4w+ILF3zdhAZFTU0NAQFuJ8kWNAL8UbpVq9VoPIhhpq6DrJTCxVfQUGgsFlHizeQjGouSKWjciFCfAoGgrigQq88CQb0gLD0E/kZFuScpbBrHQoYjF95yD6+PoHFztqDA103wCkKI8hGNRckUCAQCgcAdvjx+3NdNEDRARMBlgaDhk+cvcdSQjQN0PuhXCgsLUduJdXXx4sV6bo2gIXHWj54fTxBClI8QFlECgUAgEAgErlHQSFaCBYIrDa1GgyRJZPuRyFJUVMT58+dJTUvzyflzsrN9cl5BwyalkWQG9YoQdfDgQW9Uc0UhhCiBQCAQXNGI96AYPwkEgrrHTwL816rV5ObmUuYHbmflZWXU1NSQl5cH+M7SskrEpRK4QUlpqa+b4BW8IkQNGDCAwYMH88svv9g1MRSYc76RKJkCgUAgELiDkKHE+EkgENQPnsZk8hYlJSW+bgIAF7OzueAniQ+yLayiysrKfNQSQYOhkYT48YoQ9cMPP6DT6XjggQdo27Ytb7zxBpmZmd6outHSGILsCQQCgUAgcB8xfhIIBHWNJElk+ZE7nMCcsrIyUlNSuJSTI7suCnc9gTMaiY7gFSHqwQcfZO/evezdu5cxY8bw4Ycf0qlTJ+6++262bNnijVM0OvxjPUAgEAgEAh/RSAZSniDGTwKBoK654KP4RwLlqDUaSkpLKSoq8nVTBA2BRjJ+8mqw8gEDBvDTTz+RkZHB9OnTOXDgACNHjqRXr1588803VAs/WCMiV5BAIBAIBAIQ4yeBQFB3NI4p65VBfiPJhiYQKKFOsuaFhIQQERFBSEgIkiRRWVnJ008/TdeuXdmzZ09dnFIgEAgEAoGgQSPGT44RiV4EAoFAcKXTWN6FXhWijh07xt/+9jdat27NK6+8wqBBg9i7dy8pKSkcOXKE1q1b87e//c2bpxQIBAKBQNAAaRzDKO8gxk/KaCyDb4FAIBAI3KVlixa+boJXCPJGJb/99htffPEFO3fupHnz5rzwwgs8/fTTJCQkGMv07t2b//73v4wdO9YbpxQIBAKBQCBo0Ijxk2sEBNSJIb9AIBAIBA2GprGxvm6CV/CKEDV58mT69evHnDlzmDx5MiEhITbLdejQgfvvv98bpxQIBAKBQNCAKfWTNN6+RIyfBAKBQCAQuEJgI1mU8YoQ9fbbb/P8888THR1tta+8vJxDhw4xbNgwOnXqxNy5c71xSoFAIBAIBA2Y8ooKXzfB52zbto3rr7/eaTkxfhIIBAKBQNCY8Iqc9tZbb3H69Gmb+86ePcuIESO8cRqXKS8v55///CeJiYmEhYXRt29ffv31V5+0RSAQCAQCgcAUnU5HeXm5zX3l5eVs27atnlskxk4CgUAgEPgzKpXK103wCl6xiHIUPFKtVvvMp/+uu+5i//79vPvuu3Tr1o358+czefJkdDod9913n0/aJBAIBAKBADr6ugF+wIgRI9i9ezcDBw602mdYyNNqtfXaJjF2EggEAoHAf2kcMpQHQlRpaSnFxcXGzzk5OaSnp5uVqaqq4scffzQLullfrFq1ivXr1xsHUCAP+C5cuMDLL7/MxIkTCQwMrPd2CQQCgUAgEID/LeSJsZNAIBAIBP5N44gQ5YEQ9fHHH/P2228DsnnYnXfeabOcJEm89tpr7p7GbX7//XeioqKYMGGC2fZHHnmE++67j7179zJkyJB6b5dAIGictAEyfd0IgaAB0VhW9FzFnxfyxNhJIBAIBAL/JjzIK05tPsftbzFmzBiioqKQJImpU6fy97//nXbt2pmVCQ0N5ZprruHGG2/0uKGucuLECbp3706QxQ/Vu3dv434xmBK4S1fgvK8bIfArWiGEKF8TBxT4uhECgRP8eSFPjJ0EAoFAIPBvBrZo4esmeAW3hajBgwczePBgACoqKnjiiSdITEz0WsM8paCggE6dOlltb9asmXG/LWpqaqipqTF+Li0trZsGCho0A4A+wOJ6POdkYEE9nk8gcIXJwK+AfUejuucmYJEPzy8QKMGfF/LcHTtB/YyfHLkyCgQCgUBwJRDso/jb3sYrdl1vvfWWN6rxOo4iytvbN3PmTGbMmFFXTRI0cPoChulCSD2cT8Xlif2V6sbSUGhsv08QoHGhvApoAVzSf74bWOLtRjkhuJ7PJ/CMxvbMKMXfF/LcGTuBGD8JBAKBQFAf2Fowaoi4Laelp6ejVquNfzv7V9/ExcXZXLkrLCwELq/uWTJt2jRKSkqM/zIyMuq0nQL/ZZCNbT2AKBfrCQ0NdbsNo4BoYITbNXifu33dAD8lGi8p+z7mDuA+4F43jh0CXA3cCoQCt3uvWW7TwdcNENilZ/v2vm6Cz3nrrbf8SoRyd+wEYvwkEAgEAkFdExERQUREhK+b4RXcnjd17NjRmHK4Q4cODlfJgHpPP3zNNdewYMECNBqNWayD48ePA9CrVy+bx4WGhnokHAjqjqioKMrLy71S11+APU7KJAL9gVrgmAfniomJITc3161jmwO3mXz+K7DGg7Z4A/F0yAwFdur/7g+0xDcWHr3x7P50l0HAUaAaWaAFCAeuNSkTWd+NssFgIK0eztMOaAYkIMepSkK+Hhfr4dwNlemTJvm6CT4hPT2dVq1aERwcrGihztJtry5xd+wE9TN+cjbWFAgEAoGgMVPf2XTrEreFqDlz5tC5c2fj3/42OLjzzjv57rvvWLJkCRMnTjRu//HHH0lMTGTQIFv2LgJ/pV9wMOWtWnH+/HkzdzVHhANV+r+7IE8MAWKBTjgXogC6ATkuttWSJtHRbgtRlthfi7ZPREQEwUFBlHgQryMA0Ll99GVactl1y1d4I6B1O6A9suggAWH67S1xLWB5KGCIqNITOOlGW3oB8UAqkIHsTtcWKAbKXKwrMiICKisVl/8rkA08OWYMG9etc/FsdUMkUGHyWQVcBxysw3O2ad2axKwsDIbSzZATGuyrw3P6M3cCu3D+rEeGhTkp0Tjx54U8MXYSCAT1RUR4OJVVVc4LCgQCI2FCiIKHHnrI+PfDDz/sjbZ4lZtvvpnRo0fz9NNPU1paSpcuXViwYAFr1qxh3rx5BAYG+rR9f+3QgTVpaT5tgzOUWA3VJSHI1kgAP774ImeLi/nb+fP0ArYpOL4pl4WogVwWohwJKrcBK/R/G+LNxCpusW0C3LzX7IlOLYBczIU2e7x7773MOXIEJMkjIeovyBNLT+kNrPdCPZ7QFVmIPIPsSrbWg7os1/4HIf8uycjikCP5MQ75Hs8G4po1o09hoWIhKiEhgZqaGoqKiuTP+n+9gXSgM3Ln/quDOpohu9Fd5LLFUIuWLQlNTVXYCogAPn7uOeLi4jh76hSZmb7NG/jss8+i++ILlgOVyCIdwFXIovJu7FtHNY+PJy8/3+VzRoSHExEZSUeTbcOGDWPbtm305HK/c6UwHvkZuAnYC6TYKefrd7Av8eeFPH8fOwkEVyKGcV9jIywszG+EqMHIYwR/oGnTpsbxnUBgSVQjeg97JaSJWq2mtraWyEhrR4yKigpCQkIIDq7/MLJLly7l//7v/3jzzTcpLCzk6quvZsGCBUzyA3eAWfffz3ULF7L63DkOWewLCwsjKCgIjUZDdXW1T9oHnmW/CgsNpdoke45bdXBZiAoNDaV3y5bcERZGvoJr4siywyDwjANWWuyLBm5G/u6GhyMMWaCy9bCYimW2CPdgxT9O///VV1/NmTNnjNuHAmeRrbyW2zm2WbNm3NCmDXd27y4LUQpIRJ68F9vY1wIICgpC0rgSvrpu6YQsorj6hEjATW3b8lS3bqSnp9Pk/HmXM631tLP90SlTaNOmDWFhYcyYMYP5yPdAdJMmVlZxQ4H9+r9jY2OhsJA+yO5ujoiNiaFJkybk5eVZ7YsEuiv8DtHA9W3asMxEPJp3xx188fHHxs93AMvsHC8Bb7zxhtFE+P777+fdd9+1KtcW2VLLEa0TE8m66JkTW7fOnYmPj6dt69aMz8pi2PjxbF9++QlRIX9ne4SHh7t13oCAAHo2b47q3DnjthEjRrBt2zYi8U3Q9ruApQrK3QyUctnF1BsYYuipgI7YF6K4grOf+ftCnj+PnQTOcTYuETQ8YmicQpQ/0RH/EaKaCSFK4IDGNHryim3X448/zuOPP25z35NPPsnTTz/tjdO4TFRUFJ9++inZ2dnU1NRw9OhRvxlIBQYG0qdHD65GFjnuQF5FDgwIoF27diQmJroVFyIwIIDgIO+ETPbkRq+rFd7o6Ggika1NHNEkJsZq283IFiDX6T9bljCEfWuKtTVSNPLvA9CvXz9jSu2bbRxvSus2bRy2s4X+f1tRNwxZ+aKjzafP4cjZ+6KQ3cNaYh2Lp3XLlrw0ZozDc1vSFLjFxva2QLc2bVj1xBM8m5DgUp0gC0buCnLX2tneLjqavwDDFdQRH299twQHB3P99dcTHx/vcqa10cjXyhZdunQhzOK7BgUFERsba7b9WmwHve+JLAjao0OHDrRo0cJBCdeYMmUK0+++mxE9evB/o0YR36SJ2X5noRBN/dRDQ0O56667AOjTp49x+/VO6mjWrBmRUVG0a9uW9u3b07JlSwBacfn5sCQ0RH46TJ/hEP22Rx99lKkvvcTIfv0cxuwK8tKKUkRgIG+PsJ9OwJWX7G3OixgZAwyws0/p09YUuQ+xH/VHGbYWoeDKzYrnCmq1moqKCpv7KioqjElh6hN/Hjv5MzExMUz2dSOQ3y2T8NIAX+AX+ENszpudF3EdP7EGjfXx+ceb/N2sWTMCg4Lo2KGDr5ojENQbXnlPbdmyhfHjx9vcd9ttt7Fx40ZvnKbRYRBrooHrr72WHkCcjUmzK3Tq1MmsY28S7cgGwD7D8U5MIE8wTGW7mmzTarWokMWAzg6OtWXd0BRZADB9oYeY/H2rgjaNHj2a8ePHc+ONN9K+fXsigQnIwapNZR/D2R0FlOuO7L5yF3ANslmwgQguB4AGeOCBB2zWMRQYCdw8ZIjZ9l/uuosWdiaH9jCc72YuC1tXA2MjI3nsscdo36IFz/7tb8byYXaC0jYxETNaI0+Wb7j6aiJwHOPKVBgIDAggNDSUa6Oi6AbcCPRD/g17Ad/ffz+gbKJrKYqaCqxKrWBMa3j26ae59VYld4t9DE+5UUgxaWMwWIlZAC1btJDFFkNZSTITxHr06GF1jDPCwsK4rlcvvp4wgQeHDgXs32tKuOaaa/jnP//J7bdfzpenQr5P7dGkSROCAwIICw8nNDSUGL2IHICcNdIW7Tt0IDo6mmguv8Q6N5WvRkBAgFEYuV9/nxjof911REZE0KJ5czqapL6NB57r10/x9zSlbVgYIQ5ELVeG2a7YZMUj940tTbbFxcXZKe0YT6YCHewMlgcMGMAN119vd39jWtHzBH9dyBO4TlRUlF+IrwH6f6ZC/nDfNEXgJfzBEacplxdyGxPdMB+/u0MTZCsmd4lCtp7+ctgw4+KpL122R3J54T4RiHdzbNFQ8NbCpDdoB9zjpExjGj95RYi6dOkSrVq1srkvISGBnBxPwz03Tnr06EGrVq0YNGgQt956K1/84x/8ct99HtWpCggwc3lISEggygVBonvr1tyF3PG09qglntMWWaTpb7LNELRVhRz3yR5BQUEMGXxZ2hk9ejTdu1s7LY3Sn+cWzF3vunTpYrPeAQNkGwSVSmV0rwhGfpFFgDGdpiORzEA/5AcwjMtuLAOQhZY7wMxSp40Ty6pnrrsOU1uWQBMBLEHB79/X5HxNkS0zvrn1Vj5+4AGefeYZq/ItsR37Kjw83Gwgfv+YMTw4ZQr/Gz+e8TgeTEVGmdsIvXLLLbz84ov0R74XuyOLZA/06UN7vVWQYeJuzyKjbdu2xMTEEB4efvnlbrJ/0KBBdO3a1WiFY4lBVBsCDO3YkeF9+9LNhlgcFxfHX/7yFwffTuZWYASyiBAWFkYvZAHw/REjaNu2LSD/di1btCDBwvosSi8qR+jdnFuHhzPSZP9NN93EX//6V7NjYh20xd6Lt1OnTgwdai0dWYoc9oZIMTExqFQqhpiIo4bA7rZQATe0a8fX48aZbbdlDxoUGEhL/W/fqlUrWrZsyV+R3VRfsdFmg5UUwODBg2nXrh2t27QhtmlT4yCvJfIgtLkTUTKSy2KtaZ/qylDRka1qWxfqMcXXw6fAgACuatqUCGTBGGQx85ZbbqFP795mv4HAGrGQ13i4rnlzXzcBuNwnDUJ+d96EPKazthMXNBS64dwTwBJ7IQQ84Sov1xfoB0GX+2P73RwVZctu3RoV8lwi3sPnPxQI8oPrAbIwdi3y7z0caNrMnVRJ3qVr167OC/kBjrwawvULrvZoj+xF4GzUJIQoC2JjY0lKsh2SNSkpycq1SCATFBTEk08+yV//+ldUKhVNmzalnQ2XMo9QqWiVmEj7du1o3dq5tDTr7ruNbh2G+Ca+IMzkf9OJnqmFkQpZsbeH6cMeHBzMhAkTrMrEAjdgPWG3d8+arlBYrlYE6AWE1omJhIWEOLzewUFBNq2luiIHnDbl2muvdboy0iw8HFObKNPSD/Xt6/BYgF49e/Lmm28aBbgAoF3TpnTq1Mkorplib20kQKUy6yCbxsbSpUsXVCqV4s6mCXBVYCBTelteCXOuu+46OrduzfzHHqN1ou2uPyw0lHYxMbRt25Zm+hepmUVcSAj33XcfMTExtLfhCvvB7bez5tFHeWbcOL6//36+Hj+ewIAAq99j0qRJjB071ur4m4FwveDTKzSUJsguZwBTp06lS7t2jG/Xjp6JiTzyyCO88cYbjBw5ktCwMNniJzqaFs2b06VzZ2OQ4M9vvplnBwzgmwkTiNJP8q+//nri4uIYNGgQDz/8MM899xx///vf2fjSSzavS+dOnYzupbYYNmyYmbAWFRVF06ZNzQIVOxNgRo8ebfY5PDSUtm3b0q1bN1onJjIYWbBNiIzkwT59aG1iSdce6KD/21Re6tS5MzGxsWb1xiKL0nE27tMYk/509OjRNLchWKqQhd4AJ8/YIOSB/eB27Zh5xx3G7faOe/TRR+X9hnbGxvL57bfTPiyMR9q3N1qzRSBPFJ25MNrjOmSr2mB9W5y5U9ojyAOX7jH9+vF/PXsaFy8MwrmjaypdwTGiTBELea5jKrf3RnlcvLrmNj9xpTH0OZHI4rBhEcD2XSZoCATjutVOJ5O/bVlZ+wMxsbE2x5hKqcv5pdJrdhMQ4UMBqS6ugQoYOPDycr9KpVI8RoiJiSEyMpKmHliI2WxTHVqIeXM04sgDID4uzuH9bik2e/sa+iNeeXJGjBjBzJkzKSwsNNteWFjIu+++y0033eSN0wjcRKVSEaqwQ42xUGrd9kv3sMMYaWf73Xffbdbp9gWjAONIZQ6wIR44IsaOIGivjv79+/Paa68RHBJCZFQUf7//fjMrHVudiTMLmsTERF5++WUSEhKctl2SJGNHGhAQYD0BdHK8Cvm7mbpUuYOhDZ2Q751RJu5PhthGzgYdtwJDFCQ3uPXWW3n88ce5rk0b4/ezHGhHhoQw0qQNXbBv6RcaFmY1IVQBHdu2pX///i7fQyBblz3XujXvjxrFDRbfW6VS8fDDD/Pwww+jUqlksc7kt1OpVLRq1YrYpk3NrM+aR0by1y5diG/alFdeeYW33nqLkSMvPzHt27cnLi6OZs2aERUZaRXXIUClIjAoyGH2q5CQEMaOHcvzzz9Pxw4dSExMJCAgwCgwxACvu+jCN2jQIKMrZHhEBC2QxZ1ZN91kJSI157LQ1TsmhluuvppEG2KjsxXLJk2a8OCDD/LII4+gUqm4qWNHxnXtytP9L9tZqpCtpZQwdOBA5j78MGNMLCYt0+gaUt63bduWm266iQDgduCPxx5jRN++rHvlFV59+GG2vfYaE5CtHxOwLewpyVAWjWzBeCfw5pgxPNq6NaNG2XNqlAkJCaFJkybGWF6G87uTVERCtlQbPny4cZvhObElDhpw5LZ8JSEW8lzHdG2+Be7Fd4mOjva+NYZeXB3tpFhdY88G+hp8b+ne0AgJDnYrxMU1ddAWd7gLeZxsz2rclwQgvwfaKFgkt8VtuJ9kxB59XSgboG+DbXt69zDt71UqFUoCLrgbgsWSprGxRrFJBYwcOZJ+/foxZcoUwPEcy5SWLVvSunVrs3e8LxKWWWLPOjvW2wYgToiLiyMuLo727dtb7bO0+WrevDldu3Sxen59HTrHm3jlLTx9+nTy8vLo2rUrzzzzDO+88w5PP/003bp1Iy8vjxkzZnjjNAInGF153BSB+uN44lAfxCEH2bTXLbRu3ZoXXnjB+DmAywqyrYDYhsFmz57KjJQnTpzItddea9M1yRGSJBEYGMhnN9/MPwcNYpCFK52tgNmDBg0iKCjIofWV0pUiRxNWRZYH+ntGqSkyODapHoQ8MY42eXE99NBD3HXXXTRXEAfNlujgiMf79aNHbCwdMRe6br/qKvrr6woLCmJocDAq7LteWmJPeLKMe+NIoApUqejevDmBNsoYBCh3UTKZb4o8UQsPD6dL587GtPFKzhobG8t9JhZ1oaGhtGvXjvlTptC1Uyf7B3qIpTXVR/feS3cb90TrNm0YNWoUfzOJXWZJx44djYkfAgMCeKp/f27p2pVezZsTExPD4Lg4unXrpuh3iI+PN5YbhNz3DLMQmU2f58GDBzN69GheevppEiyerZDgYKeB8sPDw21aVpr+7r169aJHjx48+uCDjOnalb8//rjd/quZ3qqtVUICCQkJ3KG37IoHxoWH82Tz5gzBcXZBMI8DB7IYZctaND4iguk33mhzYq7EQvdKQCzkucdgZDf25ri3mh0aEkLnLl2MlrLeoEqfqbc5siuVq8R52JZ4ZGtSe9HugpEXYzwlMTGRjh07unWskhGGEiFvCHAvstX+OGTreMfyu+tERkbSoWNH4ps3JzAwkKYW1riWmI7CuuB9NzZXkZC9Cizb0S421qPJnzfSIUVg8nu5OQaKRl5Ya+skdIVSBg8ezPOjRyt+dgO5/K701FqnVatWDBw4kL4m463AoCCeHTrUaR8VGBTklSQ2cfHxRiswFbJwM378eON4uWXLlm4vINmLFWkgPj6egIAAop3MQewZCSjBXoiT4OBgM6GnTZs2xMbGEh4WZjcWriOaOPkOAQEBxMXF2RT2TK+uIR6bKiCA5n7i9l0XeCW92lVXXcX27dt54YUX+O6779BqtQQGBnLjjTcya9YsrrrK191x46dbN5Ou002Xh2ducyVnU91wA66ro4bu39a3bpWQIL+M9Z3rtGnTWLRokd0V6Kuvvpqrr7bv8GfvZWOYmHWIjaWDjcGKSqUiKiqK8vJyAEJCQ2nSpAnTpk0jICCA06dPs3DhQrNjTEUh0/MOGDCA/fv3M84kpk5oaKg8iC0slAOmmpT3tgPMvffeS9amTVQ3aUKZ/vtcPpkEkiRbWFkcFxERwTXXXEPgkSN2627fvj0DW7bkhhtuMG7r3LkzycnJDtt0+9VXc0vnzvx55Ah5589TU10NegujDrGxfDVuHE3DwtBWV5Oenm4/sLfls2Pn927WrBlPP/00X331lcN2uYPpGW/p0oVVSUm8N2oUX+7fz2A3B1xGazk3AjI+2KcPO9LTydb/1rNuuYUudmJqOeKali05ZOJmZPietgY2cXFxXDD5HKBS8Ujfvry9bZtZOZVK5bJobODfN93EPwYNopVeOHI2jLR8jjrr/8XpBzB9+vShuLjYTEQNCgoyi5XljO5XXw1nzpicVCIyMpJOHTuSkppq3NyubVt6REZy4403ujQAjYmJkUVxi/taBXRv1ozx48fTZPlyXhs6lFvnz7dZR1RUFPHx8ZSWlpo0034vc11iIisstrVo0cJvXUXqm+nTpzNgwAC6du3KxIkTad26NZmZmSxatAi1Wi0W8uxgkEFUKhWSJNGyZUuioqKcvissadasmZUI6A5NgYE9erBn/XrAtcQDBqKjoynwoC0G160uXboQEBDAuXPnrMoomS6HhoRQU1tr/NwHuATkAImtWjldsAoKDEQVEGAz4+MA4BSyiJgBWLfQOc247LodBPz9ySeZPXu2MYaotwkKCqKzPhFQUXGx3XLhgGFEZBCBDNwGVv1gXaMy+T+mSRMKCgoAeYwdAlS7We8dwGJPG4csnH46aRJ/nDnDqzbuVSUM69SJfdnZLh8XCVjmKu3VqxeJiYlE6Z9hdwnD8bUdDmwx+fy3gQN58mbbOQlHjRrFp3l5lJeVUWvxPPUHDiDPb2qq3f01L2PaN1iOFOMjIsivrOT6q65i2+nTl4/R979O63Yg1AUEBNCsWTOaNW2KVqeznleY0KJ5c0pKSpyez+Z5VCpCgoOtriMqFS2aNyc0JISo6GiCg4ONC9oZ6el26xuO+e9o4B//+Aez//tf42dTF3tHV8pSSL8KGDFkCB/s2mVVtjEFNvCaXXKfPn3YuHEjpaWlZGZmUlZWxoYNG+jtJM6LwH9oaREcuT4w9TkeBwzp25cnn3ySN99806YVkYF2FvF8YixW6I1YWJyEhIRw3XWX837YMo00YGuiZNmZTpkyhWuvvVaRa09iq1a0bt2amCZNjMGxDZPwq6++mr/85S/cfffdTJkyha5du3LLLbcYjzWdrI8YMYJXXnmF/v37G/8BPHX//bRs2dKtlRFX1nK6d+/O0KFDbfqLS8hWNGAhjpoQFBREyxYtbK7yhIaGcvPNN5sNdJW6CwYHB5PYqhUqlYqw8HDCwsKM36tNkyZE6t2RevXq5RW3IFdX0vubuIM5YrTeYqlrs2Y8PWAAS+69lx7Nm/P5Lbc4jZtlD1svrU4u+J5fq3dZVCELSkoZNGgQIA+m7rj6av5mePYkybgKonQlcUDr1nx5yy109zCzqIGggACjCKW0HaZl7rzzTjp16sSIESMAuOOOO4xulkqZOHEibdq04bbbbuOVV17hTpPYU2ZtNTFrDw4OJiQ0lAkTJri3CmrRvoceeohu3bpxxx130KxZMx5++GGHQUEjIiIICgwkNDSU0JAQm0HvfZntp6FhWMjr27cv3333HW+88Qbff/89ffv2Zfv27WIhzwEBAQG8+OKLvPa3vxETE6PIldWI/h715F1g+g5498YbzSxmrsI8Rk994qkbVoTJ8X2QY+PdBAzs2JGo6GgGJCbygoPQAomJiXYtIJogh15oiXkiGncJ07vU3323HNHUVhyskOBgt9y/QlUqrjO46yvo00yjLlo6AXk6cXTnNzW1tzB9h4QHBnqU3dEb6SeMC1EqFXeaJBJS+j0NQm9EeDghISEuWRP+FbCcMUycONG4iGQq4DnC0rrw3ZEjGYLzpACWtt0v2BGhzI6xcf8aQmrYwi27IZWKuGbNuAb4i8k8CeCD0aN5un9/xllYprdo0YIunZWkZ5IFbgM2Z14qldNr/tygQVyr6Gy2MTyHpjE5gwIDCQgMpGmzZi65ELZWqXj4GmsnXMvvYGlBbskwZMtOw2jOdG41rH17/mESq8tAYxKivGIRZUpGRgYFBQVUVFQ0mAj3jY4GNAloHh9PRWUlpaWlxGAuOjjKtmRq0njddddxqqSE3Lw8l89/++2387///c/mvscee4y9e/fSsWNHFi1aBFh3+l26dFHs5oVKRWRkpM0XrUqlMgt2bVmnSqXi8ccfR6PR2PWJb9m0Kb9OmeIwlbwSEhMTKSgoMGZxc5Ww8HBefvllh777MbGx1NbWKlqJ9mRS62kMEKVnVtLGvn37UlhYyI4dOxyW69WiBbPHj6eZ/vp5+nuC/NIy/T0e7N2b21yY4D7cty/NIyIY7OI9MXbsWAYNGkRsbCwqlYpbu3WjVVQUNbW1rNdbLtgSNHUmK2ymq21tY2J4b9Qoxv/6K+A4GLY3iY6KIkytplevXsZtvXv39nihxdICs6qmxqP6TGnSpImZ1ZI9OnTo4NRs3gqV6nJwf32CAkfPQMN5I/kGw0JeVVUVRUVFNGvWTFiMKSQyMpKrIyOZOXIk8RERPDx7NqnFxYSHhVHlwErA9J5s364dFxysfNuiVUIC0dHRhIeFERoaahYjDeTB9V+AFJdq9ZyuXbsyevRozp49a9Miyt4EJjQ0lBp9/9MuLIybgSrMLbse6dyZ2pYtuaFdOyJDQnisXTtmW1y3uLg4why8+6/t14+zhw+79qX0BAQEoNPpjN9hzJgxZn0yyFYKNcBS/ed27dq5/Szd4ELsnQnIro/f3HILf65aRRDenSwOGzaM1atXm22Lj48nPz/fZvnRwKS77uL333/n3nvu4dDRo8Z94+LiWFFQwFkvts9VLN8Jbw4YwCdnzxIUFERFhaWtkjWWYk5cfLxia8JozH+bkSNHmr2HlbyvOmKdWKhnixZ0AJK4fK96C2fZZyMs5hWdgbNYW31ZMgxIRhaFpfh4BrRuzZ33328lyMRHRHBL166ss2ERGBAYSEREBJV612S7mIwRhoKZ1btSggICeG3SJB744w+qqqoAWVSMBVzpwdshh3MJ0VtBKSExMZGLFy8Ccj/35nPPodFoWH78OKZ3nquLG0GYi8avvfYaq1atMsasjQwJsbonhRBlg0WLFvHSSy+RmZlp3NamTRs++ugj7rnnHm+d5oogJDCQ2joyMXaEzotZjEwfmnZt25KekWGzXEBAAAkJCTSPj+cVi6x2d9xxB4sWLXKY3Qtg5E03Me+PPxS3zVTEMg0ibshyZSA+Pp5x48YhSRI9e/b0aiwJd1ASUyXRzaCFph3n448/jk6nc2112YD+HvIkC0pDwSCQFBcXc/ToUSvfdcMLKzw8nEOHDgFy3BfDdsM2e2Q63KucYcOGcfHgQU6VlFBRUcFbN95IdE0Nxxy4SNqiI5Bz/jye5vBSIZuuJyQkIEkSZ89eHg6X6N3PLkVHG69TaWmp1bW6KTSUzWlpDGjTxul1VMrZjAyq9ee0pGW7dgzo359Tp055dI74+Hgra866IiEhgcjISLRaLbm5ud4/gYXw1LRpU7p160ZoaKh7fYdALOR5QC+9deCCxx/nyWXLKKyqIjMry25503eeOy7LQUFB8uKSC3EV65KmyM/8fffdB0C/fv2IiopiwYIFTo8NDQmhfbt2nDt/HpAntU2bNoWiIrNykUFB3GSySPbSQw8x+9//NisTF2cvp67MTTfd5LYQ1blzZ87r2wjmSSYM72MVly12OnfqJMfPiYgg184kOaZJE0pMBPtAQIuc8bZPZCTnbR5lzu3IIlTTpk0ZPmAAW1etAsyDWHt74tihfXujcGiL5sA111wjx0dVqUAvRI0G4kJD6QMUAq4v38Jf//pX5q9Z49IxQcheD4aReijmWdmm3HILv5aU2BXWLPF0caMVsqtpIHLWYVdJwNp9zUAHoDgwkHCdDnecyLo0bUpSUZExedQHo0fz3IIFVuOTQqBapaJEv5gXp092k5GRgRrZDbYa2+5jALf27o3m2DG6Am169uT6+HioqeH48eN225aVnm7WjpjAQEoKC6m8dIlqvfBfohexyktKqNYLV4mtWpFy8SLV+nv2IpfdFwMCAijR98E6nc5Yf1hYmLHOgIAASoKDOR8ZSXjLljTRaCi6eJEbgWu7d+faa6/l419+wdFosCQwkKrsbDQaDReBh8aO5fczZyhNS6Nrs2bEhYezR//OePzaa9malsbZrCzjc6YNDqZFUBC1ajVBJSXGsWekRsNFkzHW4UOHzK5RSXCw8XOZVovaRBivvniRXMyDjx8+fNgoQh06dIizOTmUpqWZ1VlWXm537Fuf40xv4BUhatWqVUyaNImePXvy3HPPkZiYSFZWFvPmzWPSpEmsWLGCmxWYHgpkfrvnHj7bu5dNaWnuVeCGoBSqd1uyRRSX/d7dISw8nA7t25N2wVr/NlhDBAYFWa1aNW/enGeeeUbxeWKaNKGkpMTpykGHDh249tprjW4tL7/8MjU1NXbTZKpUqkYvppq+1FUqVaOZSNalJYZKpaK4uJgvv/ySTz75xOXjv/32W+83SgGbfXJW19hu8XnWrFk2y9VXzI10rNvkDhEREZw+fdruIMHSqsjTyUt0dDQ6na5uhCgTJElCpVIxefLkOj1PY0Us5HmPppGRjO3enYUmFiA2MXnWgoOCzGI4KiFQYSrzpkCR01Iynjzvbw0caBaPTqVS2XWPt4qLpVKBSkW7tm2pqqqiRfPmoI8n5IiAgABaAUoj9HTq1AmVSkXXrl3NBCWlOLK6rDWJaRWA7OoycfRozhcWEhQQwGw74lfTZs3MhKi7kIUoezZUQYGBaCwWio1xSvVjb4M1THNk4ScKWagKRbbWcpVAzL97fHw8ISYWbGZlAwKIjIpi+LXXGttiGcOnQ4cOVFZWkpKc7JYQFRwc7LLFz53I12A4coyw0U2aeDQvjNX/39zEEqhVQgLZOcqWyq5CtvazFQJaybjR0ubFEEpkwoQJHDlyhLs7dGD/+vVuxdL6v2HDWHr6NLfpn9+Iykq2T51KrYWFp8ECyJZlkRLroC/daJuS89jaZjnatfycpuBcaViPw37W/1OCabu+BTAZg1vWa2u8Z/m9rnv9dZvnGWQxtk+387e9bUrmBunAdR9+aHOfs3Gmv+EVIeqdd95hzJgxrFy50myV6eWXX+bmm2/mP//5jxCiXCAoIIC7e/RwX4hyg/bt29s1J/wrrgcmjIuLozIz0yhuhYSGWgXcbdG8OaFumkzbCo4XFh5Ox44djeJW56ZN2W/DwkGlUnGbSWD2iIiIRm3B42kgQZfO5ZVaLOr0oqWe03NZfHZ0XYKCgujVqxe1tbXMmzeP7iZxDgQCS06fPs39999Pfn5+gxggtGrVimyFQWCdPaGPPfYYy3/7zaWJ/pWCWMirG0LDwuRxSEWFQxc9AFQqEhMTbbqymRIVFUVUZCRanc7pgpeBscCvCttsSevERLQ6HYEBAWTZsdY0oOQeeeqppzicm8vFY8dsusWHhYcTFh6OSqXi7rvvZt68eYwcOZKVK1cC2HS3Hzp4MJvPnqWgsNA4hhzRoQOb09IICgpCo9EYyxrGZpMmTeKdd94xChmWfc2gQYNYv3ev0+9jylVXXWV2vlCgT0ICfRISWK63um3atCnq2lqqqquNgc17xsWRph9rd+zYkeDUVGM2U0mfeMWU9h062A2IbxirvPjii3zwwQfAZaGja9euSOfPUwMsV/B9wsPD0Wg0qNVqbrHYZ7DOt9fvJiQk2PQk6NihA2O6dKFfv3707NmTzR9/DG64gwcEBLi04B0DXNWpEykpKSQiu9XF2Xh+XvjLX3hz5Uq6ILu32aMXcnymjh07cnevXhRVVTG8Qwfe3rbNrhAVoFIZvT5UyEJSB7Ap9CsZDffv14/OoaH06dOHXbt2GWNF9ujRgx49epCSkoITKdwu8RERPGkSoyk/P5/a6moxzhQ4paGNM8FLQtSRI0f49ddfrYQMlUrFM888YzQVFijHI1nAHVHBQeaDEP2/Wpt7bRMeEUGXzp3N7omg4GCax8eTpze9jXUhWLJSTP2aJ/TsSXBgIANspH0XmOMtIcqZWb6/Yxl42dl16ddPTpTdXW8aLBA0FqKjoykqKjKaxntCmzZtFE30r0TEQl7dERcXR5xeaDC1mHGHwMBAWumTYbiC6ajYZsYmi3MYiIyM9KrbX0BAAC1btqSpWu30O0jIoQCmTp2KSqUiKCiICxcuWMVjAujaogXH8vMJDw+nb+vWZFVU8MyAAWxOSyMhIcHMys+0Lc2aNTO6YUVHRxMaGmoUhPr27QsuClHh4eFMnTqV/5pkqzKg1QtehhToKXohqTvw+pAhrDx4EJCFMlNRrF27diRZWP0EBgYSHBSE2kRgM2BIhBMREUGvXr04ceIEAwYMYODAgcTFxbFixQpatWrFcr3rniPatm1LamoqicgxjbxBcEgIvXr0QKVSERoaSus2bcDFLJPuEIqcbfndd991WG5Ex458OXw4Py5ZYleICgkOprtaTf9rr2XkyJFEhITwsoLMuaGhocTExhIUFERMcTEV5eVGQc4Sg0tlWFgY0dHRlJWVme1vGhvLoP79uU4/t7jrrrus22lHqLZMvePKJFyMMwWNEa8IUYGBgXZf8mq12isZqgR1j7ftTmzFXVDV470QEhjIvTZeMgJrvCFDderUyWbg6YZERESEWZDb+gqGLRAopd4XKRRQn1aLjQ2xkOc+9gSVurjLE1q2rNNskAkJCWbvT2+7xxva3qN5c8X9gOGYvn37yuKQDSb16oVGp2No27ZcHR+PVpII0t/LERERNG/enLy8PLOMWbYwvf8dXefAwEAkOzFU7WW8sox/KiGLI/2QrYs6x8dToNHQo3lznpg8mcLCQlJSUujXrx+bnCQXAfl+GzhwIENNBJH/Z+++w6K41j+Af5el996koyIIEkVsaBBREEvsMdYoMYnGcnPJvd5oTKKmaIwm/uxdMbEXosaKCvaCgLGAYAFBRRFQemd+fyy77sLusn0XeD/Pw6PMTjl7mN1555wz7xk2bBgCAgLg7OzM+1t+8MEHnBclaIia060b1hYUoH19Y53Q2eSkGZWkp4fCyko48aXg0JZihjB+0nwOtAFMaNsWenp6CAgIQGJ9o5+oa4Zvx474qKICx+pH4TXk6uaGLyMiYC1DRzb3CY3PxoxBamoqryOxofmzZ2PEs2dYev8+DAwMGjVE2djYwLOJnLFt2rRB9+7dsbtBgyr3rxgKIBlARDPvvCVEXgppFQgMDMSyZct4Gey5KisrsXz5ct4U3kRFZLwpYKvgptvU1BQG9UPmiWpwzwY7OzuR6xjL2fPq1KaN0hqhpJlOVW4sFqzqn/UnRN2ae8NuQ8bGxtDS0oKJjJMqtETUkad4imwwMtDXh7u7u9jRSasVMGKtqSm+7e3t5do/t05M9PSwd9QowdcarivFfvW1tTGtSxd429hwRk/Vn69fdO0KgPM4nLubG+8xEYv6x/v69+8PAJjj6wtLAwMs7tcPdnZ2sLe3h6GuLuwbxCvc5L1OTk4wMTbGlClTJC6jiZ5eo2X8n6o/pk5FVGgo5vfpAxaLBSsrKwQGBkJbW1toXQibFbBhegttbW24ubkJbVA0NzcXW95QAAM8PbH3k08Q8f77mDlzJry9vdG9e3c48J0HDWdKswTgwmbjP3xJ3AHO337bsGE4MGaMwCy8Pt7eApP3NHUO8u/Psn4/Dk2sOwqAef26Q4YM4S0X1RDFYrHQtf7cEaafu7vYRihhMyUHAfBo8D67d+8uctSSpaUlgrgz4gr5Ltk6bBjMm0grwmKxMHDgQJGvj+vXD98EBGDOxIli90NIS6eQKHfRokUIDQ2Fh4cHxowZA3t7e+Tk5ODw4cPIz8/H+fPnFXEYokQDPDwEkv4pi5aWFpwV8Nxqu3bt8OjRI4GLKBHPzMwMr169arTc2spKohn51EVfXx9Dhw7FsWPSp6aW94ZEmT3ghDTEPwJPX1+flwBVYB1pGyZUMFpJ0iM4OjiAAX2u+HE78gYNGiSQg4c68prWcIITZZAkXnFromFBEUxNTcHU1uLV68bppSVpsOb/zBk1uAHXVfAkCQAQ0a4dBrZti+fFxTjy4AH87e3R2d6e11Dl5eWFuXPnQl9fHzPrj/+v999HXlkZ3M3NYWpmhjdv3qCyvpGW23itp6eH3t27w9XVVeKy9HN3R8rr1zjHl6OUn5WhIcYKeexQFFtbW+hoa8PU1JQ3CY8032m2traorKgQmbuM/9Ewbu4hgDNb3Vq+WRAb/t21AYTq6CDYza3RPnWFNIjp6enB2ckJj+ofz7OxtgaLxUJhoei53iwtLeHt7Y0NRkb48c8/4QngkIh1R4CTaF1Yo1NTnRHBAC7U/99AXx9GRkYwNjFBVINGNn4f+vhg45s3eP36NSwsLFDx5g3KwZnhrouLC07LkA9LGFsp7pXCAZwWsrxnz54trqOJEFko5FPQu3dvnDlzBl9//TXWrl0LhmGgpaWF7t27Y8+ePQIzeRDlMzM3R15eHgykCNLmNLNgt2vXrjAxMYGTkxMqNPSxkBEdOiDmwQN1F6NJllZWcve6K/sv0KVLF5kaoghprhzs7QV60x0cHJCfnw97h6b6oDnYLBZqNe27kcVS6kyWzRF15Elv4sSJiI2NffeoUwOKOsesFT1yW44G2PWDB+PB69f49vhxFLwRnIfP2clJ5HaDBg3CiRMnMKrBKCj+GcZ0lNQwzGKx4GRqipndugl9vWHy81E+Pk3uU4/NxnQxI2bGjRuHPXyNNQBnAqAve/TgNUTZ2tig4uVLme9N2Gw2rG3ezbcmU+3x1bmtra3MM5u2bdsWjx6JS+0tGgNOCg0LCwtEeXrij6Ii2NrYoLa2ljexhBeADHDyaUVGRsLJyQksFgt+np7o1sRMk9yokr8hatKkSbh69SoGDx4stmxBbm64UJ8zTEtLC5YSfBYn+fsDAP5ITkZXZ2doX76MWgDd3nsPHXr2xOlz55rchzDSzhDIb0CXLjidlCTTtoS0Bgprjg0ODsa1a9dQVlaGN2/ewMLCokXPRKbJLCwsoK+vr5LeQnXR0tLizR5RUVqq5tIIN+W99/C4oAB3lDx1elNUkb9FlSPTxA1rb9grKW94TTfNRFOYmJhI9UjbL/374z+xsXLd/ArdUsj3CeWIkh115EnP09MTnp6eIl+XZHSKJJ8KSW5+FU2bzUZNbS1MGjwKyDAMtNlsmFtYCDREmZmZQUdM/qXAwEB06dKl0SNiJqamvIao5nSdm9O9O8zExLaenp5wdnYW+ihjGxMTPC8uhp+zM74cMQKetrYKK5ejtJPi8H1nmpubCzRECZudUBRhueUkZVJ/3tjY2ODDwYNx/u+/8by4mDexhAWAfwUH405yMkJCQuDs7CzxvkXx8PCAh4dHk+tNnjwZPy9eLPX+x/v5wd/eHu2trFDepQvKy8t5f5uZgYGwkeG+1NnZGU/rR75Ja+jQofg2KQnl4OQl46JRwYRwKHxcoKGhITVAqRmLxaK/gQbQYrHQwdpa7Q1RkpD1kujh4YG6ujqVDDGePHkyHjx4IJAQlJCWRJHBqZe1NcI8PHDmyRMYGxmhjmGgI+XnVJ8vcb841AwlH+rI0wzcxNpsLS1eTqKmdOQbGdMUXR2dJmfvc3NzQ1VVldCORFm/HRSd+FyTsdlsREZGCn1t7aBBqKythaEC8056enris379YGZmJtV2NjY2yMrOhmV9viPj+tFF+vr6mDVrlszlef/99yVf19UV/7x6Bd/6BrmGHQr9ATja2SH03/8Wur2+vr7YEVFcsnRUCFwLpbgusrW00Kk+v5i+hQUs+PJJDWzbVupyAMC0wECc1NLC1YwM+MmwfT8AdwGBbakhihAOme8es7KypFrfRQF5gQghyiHrRVGRDVBNlcDd3R3u7u4KOx4hshoxYgTi4+MRGhqKgwcPKuUYimzccZQxB5yVtTXYbDaMjY15uVCI8lBHnmI0vJbo6+k12QAEcEaTW0g5G9e3Et74m5ubcxobmhjBrcVmC02GXccwnOu0gkYfGvBfuzX0prjhO3UyMUEPMY8hNoWtpQVDKdMQNBUbsdlsmSbf0TcwQLu2bXkzSTvY26OiogL6BgYyfwe0b98egYGBEq/Prn9kURxxMd7o0aMRExMDRzYbL168aPQ6t+YU1eiyJDRUIfuRVi9nZ4z08sKJEyfQvn17qbc3A9Bb8cUiLZwq4kxNIPNdpJubm1RfLrUiplslRF7UG08IUaU5c+YgMjIS0dHRCt2vpt0OSpqbg0iHOvJUy8bWFmw2G6ampngqZd2LE+jo2CjxtzDcm9eGM0tLgxvnaDUY3SRrZ1D08OHokpKCOgBtdXVRIHPJlEevQQPiusGDNXIkiawlYvE1irG0tGAgYwOUk5MTqquqYFs/c6GsbI2M8KJ+hJO1tTW8ra3FPgJrZ2eH6dOn43iDnFz8tLS0EB4eLlN5dABUg1O/pnp6vJFbqrJl6FC8qaiAU/1sgqJy0slCE89jolmUFWdqGpkborZt20YfJEKIRlHENxLluyFNCQkJQXx8vLqL0SQ/OzucefJE6cehz4x0qCNPuRrWLZvNho0SbmK1hPwNw8PDcfq0sHmyFJOzUEtLCx4eHigpKUF5ebnUI7i4DHR0MBxADoAehoY4LmfZlMGWrwERoJt3UQwNDQEFjKT8V48eWHzhAjLevoWlpSVGjRol90Q2UVFRMJJxRu4PUD8jn5r+7nbGxrBrkKuNEFVpLnGmvGT+hpkyZQo+/vhjiX8IIeohyS0ihXfCKSrwnTJlClgsFlgsFrS1teHi4oIZM2bgDV/SWe4606dPb7T9F198ARaLhSlTpvCW5ebm4vPPP4eLiwv09PRgb2+P8PBwXLt2Tehx+X8GDhwo9XtYt24d3N3doa+vj4CAAFy6dEnkukuWLEFgYCBMTExga2uL4cOHIy0trdF6z58/x8SJE2FlZQVDQ0O89957SExMlLpsLQX/+caW8wYAAIJdXTFDzAxTshB2Y0LNUNLZtm2bVD9EOqq6nglriOrRowe++eYbvPfeewo/Hvf7QVtbG+bm5nBwcJCroUAfgDsAbQ1s4OlU3whla2vb4ibeca5vWNM01oaG+C44mPd7rYQzxbURM4mGPDEUN7l3S3tc+cMPP1RKoyrFmcLjTP71WSwWvvzyS6nLRZRHoRmGCwsLcf36deTl5WHQoEEy99QQQhSHRitISUn1NXDgQGzfvh01NTVISUlBZGQk3r59KzDVtLOzM/bu3Yvff/+dN3NORUUF9uzZ0+jxnFGjRqG6uhrR0dHw8PDAq1evcO7cORQUFAg9Lj9pZznct28fvvzyS6xbtw5BQUHYuHEjIiIikJKSIvSxoQsXLmDmzJkIDAxETU0NvvnmG4SFhSElJYXXO/rmzRsEBQUhJCQEJ0+ehK2tLR4/fix2VkRVCQgIQGVlZaPlZ86ckX52JCloaWnB0cEBdQwDtgLyr7FYLPR2ccH6W7fk3petjQ3KysthIuQmir5jpMMf6JPmS9StpLa2Njp27Ijbt28LLJfnU6LMz5gmJjNfFBKCEfv2qbsYEmlJI7Us9PWhxWJBW0sLBhImdV87aBBCExORI+Q1eermX//6F87v2yfVbLHNAXfGb2WgOFMwzuRKSEjApk2b0KlTJ6nKpEzqijM1jcIaon744QcsXboU5eXlYLFYSEhIgIWFBUJDQzFgwAB8/fXXijpUq9CSLmxE89H59g7/xVORtcLtTQI4OR3Gjh2LHTt2CKzTpUsXPHnyBIcPH8aECRMAAIcPH4azs7PAlMdv377F5cuXER8fj+D6HkxXV1d069ZN7HFl9dtvv+GTTz7BtGnTAAArV67E6dOnsX79eixZsqTR+qdOnRL4ffv27bC1tUViYiJvVp9ffvkFzs7OAsGLm5ub2HL07dsXfn5+YLPZiI6Ohq6uLn744QdMmDABs2bNwsGDB2Fra4s1a9YgIiJC5H4OHjyIRYsW4dGjRzA0NETnzp1x5MgRXvCizlFZxgoOuhV1DptbWMCcOpeUhjrymh9hI6K4FH1NZaD4kV6DBw/G5cuXMXToUByOjVXw3uWjraUFMz09FAq5UdM0LSl6YmtpYf/o0QDEn98Nt3kfwBEAFeDkjnr16pXc9WJubg4zU1MwADxbyPfh0KFDlbp/ijMF40wAKCkpwYQJE7B582b8+OOPTZajNcSZmkT+sf/gDKVbtGgRPvnkExw/flyg52bIkCE4flwTnz4nRPlonEDzo62jAzc3N3jyXZAV7cmTJzh16hR0hPQ4Tp06VaBxZtu2bY2mozY2NoaxsTH++usvoT0q0tixY4fYm6aqqiokJiYiLCxMYHlYWBiuXr0q0TEKCwsBAJaWlrxlR48eRdeuXTFmzBjY2tqic+fO2Lx5c5P7io6OhrW1NW7evInZs2djxowZGDNmDHr16oWkpCSEh4dj0qRJKCsrE7p9Tk4Oxo0bh8jISKSmpiI+Ph4jR46kUT1yoJqTzw8//ABHR0dERERg8uTJyMjIAACEhoZi6dKlai5d86OqjpX2YhL5SzPKyNrausl1DLS1Ff6+unbtii+//FKi45PWQ09bG3pSjshlAzAHYG9nB2O+vEryzqy8ZtAgDG3fHlE9e8q1H3UaPnw4jI2NMW3aNHTp0kVlx6U4k2PmzJkYPHgw+vfvL3F5Kc5UHYU0RK1ZswZRUVFYtWpVo5OoXbt2ePjwoSIOQ1TEVsUzUxCiLLIG7rq6ugp5NIrf33//DWNjYxgYGMDT0xMpKSn43//+12i9SZMm4fLly8jMzMTTp09x5coVTJw4UWAdbW1t7NixA9HR0TA3N0dQUBDmz5+PO3fuiDwu/88PP/zAe93MzAxeXl4iy52Xl4fa2lrY2dkJLLezs8PLly+bfN8MwyAqKgq9e/eGr68vb/mTJ0+wfv16tGvXDqdPn8b06dMxZ84c7Ny5U+z+/P39sWDBArRr1w7z5s2DgYEBrK2t8emnn6Jdu3b47rvvkJ+fL7QuAE6AUFNTg5EjR8LNzQ1+fn744osvBILnpoSHh2PMmDE4ceIEnJyckJCQIPG24jTXkYkUXMmOOvIUT5ZPUQcpZ4f8oH17DBXzveni4gIPDw+B0QPCGqeMjYwa3Tg1NMHPDw4t7PEkSTTX78PWaMKECXB2doaJqSnYbDbsbG0xZPBgoY0g0nAxM8NnAQEwb8Z5wvz9/REVFYU2bdoo/VgUZwrGmXv37kVSUpLQEVXitOQ4U9Mo5E7ryZMnIqfnNDExwdu3bxVxGKIi48aNw//93/8JLNPk2wy6CZJfSwn3bGWcnUUVQkJCsH79epSVlWHLli1IT0/H7NmzG61nbW2NwYMHIzo6GgzDYPDgwUJ7rEeNGoXBgwfj0qVLuHbtGk6dOoVly5Zhy5YtAjlouMflx3/jM2LECIwYMaLJ8je8KWAYRqIbhVmzZuHOnTu4fPmywPK6ujp07doVP//8MwCgc+fOuH//PtavX4/JkyeL3B//M/5sNhtWVlbw8/PjLeMGMrm5uUK39/f3R2hoKPz8/BAeHo6wsDCMHj1aqkehRM2KRYi0uB15y5YtazQ7HnXkySa8bVvsvX9f4vWXDxgAV3NzjDlwQOJtPvDygraYROFaWlqYNGkSAGBdfX4WXV1d2NjY4PXr17z17CR4nOWj+hsrVV2nKaaSjrQNZi0l3uLXtm1buGdl4farVwAAM3NzpSTsb65U1ahKcea7ODM7Oxv/+te/cObMGaknPKA4U3UUMiLKzMwMr+q/fBrKzMykETYarmELtLm5OUJDQ9VUGulpcsikCQGdRLPmtZCeR1dzc/xHQ4dwGxkZoW3btujUqRNWrVqFyspKLFq0SOi6kZGRvJ6ohsOl+enr62PAgAH47rvvcPXqVUyZMgXff/+90OPy/zTVA8/P2toabDa7Ua9Ubm5uo++OhmbPno2jR48iLi4OTk5OAq85ODjAx8dHYJm3tzeysrLE7rNhDyuLxRJYxj2X60TM+MNmsxEbG4uTJ0/Cx8cHq1evhpeXF+9xKEJUiTryFM/a0BB7R40SvxLfNc/L2hr6Uo6AlfWayX8jYmZmJtUjfC3lOt3a0d+RKAvFme/izMTEROTm5iIgIADa2trQ1tbGhQsXsGrVKmhrazfq+OFHcabqKKQhKjQ0FMuWLUNpaSlvGYvFQk1NDdavXy8yyCKqxT8duIuLC4yMjODm6gozM7NG6/r7+6uyaHLRhMYeIj1lhWLBTSS81hTff/89li9fjhcvXjR6beDAgaiqqkJVVZVU358+Pj4C38OKoKuri4CAAMQ2SGYbGxuLXr16Cd2GYRjMmjULhw8fxvnz5+Hu7t5onaCgoEZT7aanp8PV1VVxhReBxWIhKCgIixYtQnJyMnR1dRETE6P046qDKm566BtYdtSRpxxN5bhhixnNJAlJEzkL3bb+2MZSjuCl5gsijrq/hxtea+h8Vb/WHGeGhobi7t27uH37Nu+na9eumDBhAm7fvq302UJbU5wpD4U0RC1evBhPnz6Fj48PvvrqK7BYLKxZswbdunXDo0eP8O233yriMK2KMr7A9fX1YW5mBhsbG+jr66NNmzbQFTG9pomJCaKiopRQCqKJ1BEwqDtokoQyb+L79u2Ljh078h5N48dms5GamorU1FShF8v8/Hz069cPf/75J+7cuYOMjAwcOHAAy5Ytw7BhwwTWraysxMuXLwV+8vLyeK/HxMSgQ4cOYssaFRWFLVu2YNu2bUhNTcW///1vZGVlYfr06bx11qxZwxtJOXPmTPz555/YvXs3TExMeMctLy/nrf/vf/8b169fx88//4xHjx5h9+7d2LRpE2bOnClZBcroxo0b+Pnnn3Hr1i1kZWXh8OHDeP36tVKnVNZEkQp8bII6A2RHHXmqZW9nB3Nz80bTe0tLniuDu7s7nJ2d5S4DaZ5aSwMNjfxSv9YcZ5qYmMDX11fgx8jICFZWVgJ5pJSB4kzJKSRHVNu2bXHlyhVERUVh3bp1YBgGO3fuREhICHbt2gUXFxdFHKZVUUpYz2LBtokhjvzkTTJINENrvknU9DAoKioKU6dOFZpM0tTUVOR2xsbG6N69O37//Xc8fvwY1dXVcHZ2xqeffor58+cLrHvq1Ck4ODgILPPy8sKDBw8AcGYaaTgyqaGxY8ciPz8fixcvRk5ODnx9fXHixAmB0Ut5eXl4/PgxAPByBfTt21dgP9u3b+flFQgMDERMTAzmzZuHxYsXw93dHStXruRNJ6wspqamuHjxIlauXImioiK4urpixYoVYqfhbc5EfQZGKDAgar3fMPJbvHgxAgMD4ePjgxEjRvA68pKTk5GVlYX9+/eru4jNkqgRS6ZmZhD9zSr//iXBZrNhYGAg9XYNb+w/9PFBWn4+Itq2lbksmkwTrt+SlKE1x1hE87XmOFNdWlucKQ+FTQvl4+ODU6dOobKyEvn5+bCwsJDpQkukZ9CMZ5NQhLpmGARM5kuEp07uanyMrVGA14J7z3bs2CF0+fjx4zF+/Hix63D99ddfvP/r6elhyZIlTc4EsmPHjib3O2XKFIku2l988QW++OILka8vXLgQCxcuBCB5YD5kyBAMGTJEonUBID4+vtGyzMzMRsvEHd/b2xunTp2S+JiEKBN15CmHLFeTr4OCsPTKFYnWNdLVleEI0mvDN1ueboNRC+b6+vixXz+FH7P5RVTNi7gk94TIiuLMpgmLISVZh+JM5VHIt+G9e/d4/9fT04OjoyM1QsmpYRBlYWEhcoSSs7OzUsogKgkbkZywrykvKyuM6dhR5WURRqc+mJZ61pcW3GhECJEOjQiQD7cjr7i4GM+ePUNRURHOnDlDw/hVLEjCRr/1gwc3ahRSlpUDB/L+38nODoGOjrzflfWpo6u7cv2rRw+l7Je+hwkhzY1CGqI6deqEbt26Yf369TTDi5JoaWk1GvbIo6RGAXEzChDJCAsMDFvAI48U8BBCiPyoI085JO0s+axLF6n37STmcRZFYgECs/lpsVj4LjiY97uPjY3CjjVOyTlTWjJpoyE3c3N8paGz+yoSNWgSQpqikIaotWvXQktLCzNnzoSjoyPGjx/fKPM9kY+eEoeBrx88WOhyY2Nj2Nrawt7eXmnHVgRqEpEfBQyEEFnRd7DsqCNPfdqYmGCol5e6iyG16OHDsXzAALSVYnr0poz38+P9X1NGPGtKOZqi38QMja1Vc/n7EULURyENUTNmzMD169dx//59zJo1CxcuXEB4eDhcXFzw3Xff8RKLEem5ODvD1tYWxsbGStk/C6J791gsFj7//HN89tlnCjnWQE9PheynIXYzu9ipurSS3CTKk3iVEKK56GZAs1FHXvPAzevjoKRYTBqWBgbwsrZWdzEIgD9GjJAp5xONKieEEAU1RHF5e3tj2bJlyM7OxrFjx9CjRw8sW7YMXs2wx0lT6BsYwNzcXG2JnLW0tBRyI2NpYIAp772HrR98oIBSCbI3NsYADw+F71cRhIUanwUEqLwcTaGbVeGoVghpGt1UyY468tRHmu/34V5e2PrBB1gzaJDSytMQXZfVr6m/gbkGTRZk0ALSPhBCWhelTN2gpaWFtm3bwsPDA+bm5hSktjJ6enqNlm374AMY6erCWAmPGLJYLMzp3l3h+1WGdYMGoY2K8ktIQ9oRUc3lE+2pwEcXCCHCNZfvA01GHXmaobeIyV9YLBZsjYxUlqQcoI4QTcefOF5RvujaVeZtZ8ixrSLQ+UoIkZZCG6KKi4uxZcsWBAUFwcfHB6tWrUJoaChOnz6tyMMQDaalpQVHIRdnbq8SXahUr06ChmBp/y6a3ri8dtAgzOvdG762tmotx4YNG2BiYoKamhrespKSEujo6KBPnz4C6166dAksFgvp6ekAgOTkZAwZMgS2trbQ19eHm5sbxo4di7y8PN42hw4dQvfu3WFmZgYTExN07NgRX331ldTlvHDhAgICAqCvrw8PDw9s2LBB7Po7duwAi8US+pObmwsAqKiowJQpU+Dn5wdtbW0MHz680X4OHz6MAQMGwMbGBqampujZsyddLxSMvnObF+rIUx1ho12+6tULXfkmhhnRoQMsDQwwjBoEW6UQNzeRr337/vsKPZabmRki2rWTadtl/fvDTs2PjTb8pqJrj2q01DgTABISEhAaGgpzc3NYWFggLCwMt2/f5r2elpaGkJAQ2NnZ8fa7YMECVFdXC+xn7dq18Pb2hoGBAby8vLBz506py0+UQyENUXFxcZg8eTIcHBzw2WefoaamBmvXrkVOTg527dqF/v37K+IwpBmwtbWFjpDhwXRB0mwWUs7SpOm3Ri5mZuglomdblUJCQlBSUoJbt27xll26dAn29vZISEhAWVkZb3l8fDwcHR3Rvn175Obmon///rC2tsbp06eRmpqKbdu2wcHBgbfN2bNn8dFHH2H06NG4efMmEhMT8dNPP6GqqkqqMmZkZGDQoEHo06cPkpOTMX/+fMyZMweHDh0Suc3YsWORk5Mj8BMeHo7g4GDY1jf+1dbWwsDAAHPmzBF5Dbh48SIGDBiAEydOIDExESEhIRg6dCiSk5Oleg+ENHfUkad483v3Fvu6sLhEW0sL8/r0wShvbyzr3x+RnTtjx7BhMNOgR7CI6vRydsZ0IekUtBWUtkJRNKksXJpYppaopcaZxcXFvMfUb9y4gcuXL8PU1BTh4eG8hiYdHR1MnjwZZ86cQVpaGlauXInNmzfj+++/5+1n/fr1mDdvHhYuXIj79+9j0aJFmDlzJo4dOybVeyDKoZCpHkJDQ2Fra4vp06cjMjISPj4+itgtaUgJPaOS7tHOzg7PXr1S+PGJ+k3w80NHBU4DvVPIyBdhGp57piYmCiuDpvDy8oKjoyPi4+PRo0cPAJxAYNiwYYiLi8PVq1d5jTTx8fEICQkBAFy9ehVFRUXYsmULtOtn5HF3d0e/fv14+/7777/Ru3dv/Pe//+Uta9++vdCRR+Js2LABLi4uWLlyJQDOI0K3bt3C8uXLMWrUKKHbGBgYCEwx//r1a5w/fx5bt27lLTMyMsL69esBAFeuXBE6Ixj3mFw///wzjhw5gmPHjqFz585SvQ8inLCbgY/9/RV6DBq1I7u4uDhs374dhw8fRllZGQIDA7F27VqMGzcOZmZm6i5es9azic4IUTfKumw2prz3XpPrKRvdyKsfi8WCh4WFwvfb3spKofvThDNFE8rQGrXUODMtLQ1v3rzB4sWL4Vz/Xf7999+jU6dOyMrKgqenJzw8PODBlyPY1dUV8fHxuHTpEm/ZH3/8gc8//xxjx44FAHh4eOD69ev45ZdfMHToUKneB1E8hYyIiomJwfPnz7F8+XJqhFIxYyMjlRzH2toaphLkNhJ1IeI9mkeBlco1dZP4ka+vQv8u0o6uAjgXD30ZtmsO+vbti7i4ON7vcXFx6Nu3L4KDg3nLq6qqcO3aNV6AYG9vj5qaGsTExIj8+9nb2+P+/fu4d++eyGNnZmaCxWIhPj5e5DrXrl1DWFiYwLLw8HDcunWr0fBmUXbu3AlDQ0OMHj1aovVFqaurQ3FxMSwpt5fSdG/TBqMVfJ2mZijZhYaG4syZM5g+fTru3buHGzduYPr06dQIpQImSshZKYyovFOk9WpjaopVAwciWsob+uaEon3VaYlxppeXF6ytrbF161ZUVVWhvLwcW7duRceOHeHq6ip0m0ePHuHUqVMIDg7mLausrIR+gxGtBgYGuHnzpsQxLlEehTREDRs2DGy+BI4XL15EaWmpInbdaulpNx6sptsgaDLQ14c9Xy4DZWOrMElnS6EJIwWUUQJFvy9hj3Oqkru5udL23bdvX1y5cgU1NTUoLi5GcnIy3n//fQQHB/Mu3NevX0d5eTkvQOjRowfmz5+P8ePHw9raGhEREfj111/xim9U4uzZsxEYGAg/Pz+4ubnho48+wrZt21BZWclbR0dHB15eXjA0NBRZvpcvX8LOzk5gmZ2dHWpqagTyBIizbds2jB8/XmCUlCxWrFiB0tJSfPjhh3Lth4imjAkjNOF7rrmijjz1UdUkJ3ODglRyHEXRlAaElv694m5hAcsW2gFHVKslxpkmJiaIj4/Hn3/+CQMDAxgbG+P06dM4ceIEbwQXV69evaCvr4927dqhT58+WLx4Me+18PBwbNmyBYmJiWAYBrdu3cK2bdtQXV0tcYxLlEfhs+bV1tYiJCQEaWlpit51q2JtaIgPGwSlWmw23N3deb8bGBpCS0spEx+qjG39F5e+kIY3orlaWnj464ABcFHSbIYhISEoLS1FQkICLl26hPbt28PW1hbBwcFISEhAaWkp4uPj4eLiIjDE+KeffsLLly+xYcMG+Pj4YMOGDejQoQPu3r0LgPPo2/Hjx/Ho0SMsWLAAxsbG+Oqrr9CtWzfe8/1t2rTBgwcP0K1bN7FlbDgijnsDIMlIuWvXriElJQWffPKJVPXS0J49e7Bw4ULs27ePl2eKKJ60M2RKQpoRlf8LCkIXe3v8zDf8vzWjjjz1WBgcDAcVPQ7OYrEwMzBQ6u2cWuDj6tJoaXGGKNzGqG5t2qi5JIpFT0CoTkuMM8vLyxEZGYmgoCBcv34dV65cQceOHTFo0CCUl5cLrLtv3z4kJSVh9+7dOH78OJYvX8577dtvv0VERAR69OgBHR0dDBs2DFOmTAFAAyw0gVJaMVp6L4aqTBKSx0PcyBHtZtgo5WZujg2DB2PHsGHqLkqLpYzPo7mQxK2WBgZYPmCATPtTd7iip62NZQMGwFEJs860bdsWTk5OiIuLQ1xcHG/IsL29Pdzd3XHlyhXExcUJPJfPZWVlhTFjxmDFihVITU2Fo6OjwAUWADw9PTFt2jRs2bIFSUlJSElJwb59+yQun729PV6+fCmwLDc3F9ra2rCSII/Fli1b8N577yFASEJXSe3btw+ffPIJ9u/fT5NbKJmiR0QZ6uhgsgQ5p2YGBuJDHx/0dnHBopAQ+DXoHSXUkdeShXt6Yipf3ilJfKPgWdkkpSmjdDT5XkKRZfs9PBxRPXrgI19fmfdBjT6tW0uMM3fv3o3MzExs374dgYGB6NGjB3bv3o2MjAwcOXJEYF1nZ2f4+Phg3LhxWLp0KRYuXIja2loAnMfwtm3bhrKyMmRmZiIrKwtubm4wMTGBtbW1xO+BKIdShqHQF6LqLevfH44mJpgYE6PegjTxtxf2ahsljUTRBJoQRimjDB94eSGrsBBvysvhb2+PUd7ezf5zb6SrixHe3libkKDwfYeEhCA+Ph5v3rwRSPoYHByM06dP4/r165g6darYfejq6sLT01PsaAk3NzcYGhpKNaKiZ8+ejWYPOXPmDLp27drkI5MlJSXYv38/lixZIvHxGtqzZw8iIyOxZ88eDB48WOb9kKaZ6+vjw44dFbrP6OHDJRrROrBtW4Uet6XS5JtvIjsWiwUHKTo6PuvSBfZK6BgRZ2FwME48fIjP5OhUUKTW8kmwNDBACN/TDrLQtOhL1k5JIruWFmeWlZVBq8HslNzf6+rqRB6LYRhUV1c3upbq6OjAyckJALB3714MGTKk2T9V1BIopSGKAinV81bgrGeq1NwbL5oDZXweddlsRPXsqfD9tlQhISGYOXMmqqurBZIoBgcHY8aMGaioqOA9tw9wZirZu3cvPvroI7Rv3x4Mw+DYsWM4ceIEtm/fDgBYuHAhysrKMGjQILi6uuLt27dYtWoVqqurMaA+CHz+/DlCQ0Oxc+dOkcOmp0+fjjVr1iAqKgqffvoprl27hq1bt2LPnj28dWJiYjBv3jw8ePBAYNt9+/ahpqYGEyZMELrvlJQUVFVVoaCgAMXFxbh9+zYA4L36kQF79uzB5MmT8X//93/o0aMHr8fMwMCAkjUrCP/nf0VYmFJyRBHFoWtiyyXNlVgZj9A2JcDREQGOjio/rih0L9G88H93edFIE5VraXHmgAED8N///hczZ87E7NmzUVdXh6VLl0JbW5v3Pnbt2gUdHR34+flBT08PiYmJmDdvHsaOHcvLI5Weno6bN2+ie/fuePPmDX777Tfcu3cP0dHRCqx9IiuFN0Sx2WxkZGTAUYMuZq3Jgj598CPftJWKUkcBAVGmFn7zFRISgvLycnTo0EEgYWNwcDCKi4vh6enJm54WAHx8fGBoaIivvvoK2dnZ0NPTQ7t27bBlyxZMmjSJt+3atWsxefJkvHr1ChYWFujcuTPOnDkDLy8vAEB1dTXS0tJ4z/IL4+7ujhMnTuDf//431q5dC0dHR6xatUpgSt3CwkKhjwtt3boVI0eOhIWI6a0HDRqEp0+f8n7v3LkzgHc3GBs3bkRNTQ1mzpyJmTNn8tb7+OOPsWPHDpFlbu3m9uql7iLwtOxPrurRzbdidW/TBjeeP0c7S0s8LCjgLVdHLTcVR/0YEoIF9TNcUYMk8HlAAJZfu6buYhAJ0XeXerW0OLNDhw44duwYFi1ahJ49e0JLSwudO3fGqVOn4FA/UZe2tjZ++eUXpKeng2EYuLq6YubMmfj3v//N209tbS1WrFiBtLQ06OjoICQkBFevXoWbm5t8FU4UQikjokRNq0iUowdfgsPuTk5YN2gQvjhxQqJtJ3XqJNF6NWKGQUqjYXD1nr29QvYLcB4R+fivvxS2v5aCQgP1c3NzExqkOTk5CV3u4eGBTZs2id1nSEiIQO+WNMdtKDg4GElJSSJfnzJlCi+5I7+rV6+K3W9mZqbY18VN90uE87a2Rh8NusbSDbN87t27B9/63DDUkad4s7t1wweFhXhdWoqVN26ouzhi+fPFQ20tLdVYEs0Q7OaGwspKbBZzbVIFRyFJ4ymuIpqmJcaZAwYM4I28Embs2LEYO3as2ON6e3sjOTm5yfIR9VDIw5FaWlpgs9lif1SpuLgYc+fORVhYGGxsbMBisbBw4UKVlkGV5vfpI/C7s5kZdgwb1mTejtHe3hgj4XTRYxWcVwQAJvr5IUKBeUM0JcGmpvEUMVrFRANn5PFW83Bu6tEjmk5Vj+wIm5CAKF6nTp3QrVs3rF+/Hm/fvoWrq2uTudmUqaXFT2b6+ugkJDG+OppPuzg4QFdEPDyoPhbaOGQIFvfti/YSTBTRGgxs2xZuZma8+lEHM319rBs0SGCZOh6d1HTt6JwlhEhJIQ1R3333XaOfGTNmwNPTE25ubvjuu+8UcRiJ5efnY9OmTaisrMTw4cNVemx1ENYjbWVo2ORMdG1MTSXuzR7bsSM6m5tLtG73Nm1gIkEekj6urmBTojil62hri28aNFbq6enBQYGj0RTl69691V0EQjSaqm5/fg8Pl2g9uh2Tz9q1a6GlpYWZM2fC0dER48ePR2xsrNrK01Ljp4YjjNQxks9QRwd7+R5F4TcjMBAAZ/RN5/rHTggnH+XqQYN49aMuzhqes1ATOg4+7NgRkzp1wuqICHUXhRDSTCjk0TxRvWVVVVUIDw+Hra2tIg4jMVdXV7x58wYsFgt5eXnYsmWLSo+vKYx0dbFh8GBcyspCen4+Pg8IgIWBAUbt3w9AuhsIFouFEH9/XHr2DKYmJsjny7UgcExtbczp3h3zz51DcVUVAOCD9u2F71Oqd0Pk0aN+pghHBwe8ffsW9vb2GpeXaYKfn9pHtdF4KKLpVNUTb21oCB9ra6Tk5Yldjx7Nk8+MGTMwY8YMpKamYvv27di1axf27t0LJycnTJkyBR9//DE8PT1VVp6WGj+5mptjWf/+mHv2LAD1xR86QkZE9aq/PhPNNs7XF3vu3QOgWSOi/hcUBBsjI3UXA7pstsJnZSWEtGxKHY6iq6uL2bNn47ffflPmYRphsVgtOjg2NzODlpYWzCUYodTG1BQf+friu+Bg2BkbixwWLgk9PT24u7vDSszjUyPd3WGqpyfwWOCnGjIVMAGMTUzg5OwMbTU++iGKJgV2XC35e4Q0T6r8PqWGWdXx9vbGsmXLkJ2djWPHjqFHjx5YtmwZLyGsqrTk+Il/dmFNeY/Guro0EriZGO/np+4iCNXbxUXdRSCEEJko/bkoAwMD5OTkKPswrYqtnR08PT15U1PKSpk3/v/q3h3Opqb4rwbN7qQOlHNIcpowtJz+XkSTffv++3CT8BFpVdGM2/mWQ0tLC23btoWHhwfMzc3pO6mF+9DHR2MaxYjk6C9GCCHyU8qseVyvX7/Gr7/+qvIePXlUVlaisrKS93tRUZEaSyOapgcuzmZmWDd4sLqLQZogabJ6peC7werr5oZ+7u7qK0s9uuUj6hbk7Iwr2dlCX5Ol84B/FKypnp5U20pyNE2/FjUXxcXF2LdvH7Zv347r169DT08PI0aMwNSpU9VdNIk1l/gJ0IwRuNM6d8bQZhQfk3fsNOBROEIIae4U0hDl7u7eKBitrKxEbm4utLS0cPToUZn3HR8f3+TUkVzJycl47733ZD4WACxZsgSLFi2Sax+aTkdLC9V1dfCVMneXJDccWpR8vFmZ7O+v7iIAAOZ06wZtDTh3Go4+0LTRJ6Tl+7p3bwzds0foa7LcOrO1tLB56FDUMUyTM6k2JEnDrPpv55u3uLg4bN++HYcPH0ZZWRkCAwOxdu1ajBs3DmZyJkim+KkxbvzjIWI2WVVYP3gwXpWUIMDRUW1lILJZ1r8/DqSkYFqXLuouCgDA2dRU3UUghBCZKaQhKjg4uFEjhb6+Ptzc3DB27Fi4ubnJvG8vLy9s3rxZonVdFPCc9Lx58xAVFcX7vaioCM7OznLvV5PsGjkSpdXVsDY0VNg+zc3NUVFRgTZt2ki8TWvoSW94I6fuZNyaRN5HS5Vt/eDB9PciGDFiBOLj4xEaGoqDBw+quzgysTc2VncRiAihoaGwtbXF9OnTERkZCR8FjlKl+Kmx3aNGoaq2FsYSzOyrLE6mpnCiBoRmydvGBt8FB6u7GDyraIY6QpqVlhBTKpJC7gR37NihiN0I5eDggGnTpilt/w3p6elBT8rHF9Tpf0FBUm9joKMDAxmSVfd2ccHmpCQAgK2tLXJzc3mvcWdGZGvAqBZN4s43omb94MEwUmPwq2m02Gy4uLhAi8XSmJF0/A2HdKNAAGDOnDmIjIxEdHS0uouikVpDh4IyxcTEYMiQIWDLMZGIKBQ/NaavrS31yEBCNJUmjCQnhEiOYkpB9A3WjPVzc1PpbBmWBgY4OGYMAM4IKGp0alqohwc+7dIFK8PDqWFDCH19fehq0I2LshID9+3bF19++aXMrxP1CQkJgYmJibqLoVFa+yQUijRs2DClNEIRQghpPSjObB4ophTUYlsSTp48iYMHD+LYsWMAgJSUFBw8eBAHDx5EWVmZmksnudViht2qoydaj68nUZabdjZfmU1aweggLRYLH3h5wdPSUt1FIRJQV7Lyw4cP44cfflDT0QWtW7cO7u7u0NfXR0BAAC5duiT3NkuWLEFgYCBMTExga2uL4cOHIy0tTVlvocXShJEcM7p2xfuurhjbsSM+6dxZ3cUhStBS4idCCCEc6oozlRFTXrx4EUOHDoWjoyNYLBb++usvJZWeKJv6o1olmTFjBp4+fcr7/cCBAzhw4AAAICMjQ668VaqkycmSbW1t8fLVK1jyJf1saiYatpYWfunfHzV1dfSYGuHRlId71HWjb6khDZX79u3Dl19+iXXr1iEoKAgbN25EREQEUlJSROaQkWSbCxcuYObMmQgMDERNTQ2++eYbhIWFISUlBUZqnn0oICBAYKYvrjNnzsBRg5IJD/DwgI+NjbqLwTOxUyd1F4EoSUuJnwhpyYI0LP8a0WzqiDOVFVOWlpbC398fU6dOxahRo1T5lprUXGJKTdFiR0RlZmaCYRihPxREKYapmRk8PTxgbW3NWybJ43o+NjboZGenzKIRIpN+7u7oYm+PaUoY6VFTU4NZs2bB3NwcVlZWWLBgAW9UYcMh06dOnULv3r156w4ZMgSPHz8W2N/Bgwfh5+cHAwMDWFlZoX///igtLZWrjL/99hs++eQTTJs2Dd7e3li5ciWcnZ2xfv16ubY5deoUpkyZgo4dO8Lf3x/bt29HVlYWEhMTRe63b9++mD17Nr788ktYWFjAzs4OmzZtQmlpKaZOnQoTExN4enri5MmTYt9TU/WUmJiIe/fuNfrRtIBhTvfulI+JqATFT4RoNnsjI3zVs6e6i0E0jKbFmcqKKSMiIvDjjz9i5MiREpeFYkrN1GIboohqsLW1Ab6bIwMNeHSEND+acoOty2ZjUUgIhnXooPB9R0dHQ1tbGzdu3MCqVavw+++/Y8uWLULXLS0tRVRUFBISEnDu3DloaWlhxIgRqKurAwDk5ORg3LhxiIyMRGpqKuLj4zFy5EhewLFjxw6p67SqqgqJiYkICwsTWB4WFoarV68qbBsAKCwsBNB0D110dDSsra1x8+ZNzJ49GzNmzMCYMWPQq1cvJCUlITw8HJMmTRL5uFBT9UQIIYQ0N942NtCh3HKkAU2KM1UZU0qKYkrNQ60GRGobhwzBkkuXkFl/M8nVy8kJAWpu8dXX1kZFTY1ay9BctFFTsryFwcHYc+8eBrdrh9+uXwegOY/mKZOzszN+//13sFgseHl54e7du/j999/x6aefNlq34VDjrVu3wtbWFikpKfD19UVOTg5qamowcuRIuLq6AgD8/Px465uZmcHLy0uq8uXl5aG2thZ2DUYr2tnZ4eXLlwrbhmEYREVFoXfv3vD19RVbJn9/fyxYsAAAZ2r4pUuXwtramldn3333HdavX487d+6gR48ejbZvqp4kER4ejqSkJJSWlsLJyQkxMTEIDAyUah+EEEIIIcqkSXGmqmJKaVBMqXloRFQz8Ht4uLqLIMDRxASrIiJgrq8vsHxenz5N5ohStiWhofC2tsay/v3VWo7mYNmAAWo5boCjI5aHhaFNK5tFsEePHgK9Rz179sTDhw9RW1vbaN3Hjx9j/Pjx8PDwgKmpKdzd3QEAWVlZADgX09DQUPj5+WHMmDHYvHkz3rx5w9t+xIgRePDggciy7Nq1C8bGxrwf/kSQDXu4GIZpcnSVNNvMmjULd+7cwZ49e8TuEwA68eUhYrPZsLKyErjoc4OV3Nxcods3VU+SOH36NF6/fo2ysjI8e/asVQcMhBBC1K81dN4R6WlSnMml7JhSGhRTah5qiGoG2lpaon/9FwS/UCHLVIXFYmnkY3htLS2xbMAAeGtQUl9N5GNtDVM9PbWWgYayijZ06FDk5+dj8+bNuHHjBm7cuAGAM2wZ4FxAY2NjcfLkSfj4+GD16tXw8vJCRkaGRPv/4IMPcPv2bd5P165dYW1tDTab3ajXKTc3t1HvFJe028yePRtHjx5FXFwcnJycmiynjo6OwO8sFktgGTcw4Q4lb0jeelIXTet8IIQQon7ce4FRPj5qLglp7pQdZ6oippRWa40pNRk1RDVT6wYNgp8GJfzuJcFNJSH8avi+6DUlR5QyXa9/DJH/93bt2oHdIM9Dfn4+UlNTsWDBAoSGhsLb21tojwuLxUJQUBAWLVqE5ORk6OrqIiYmRqKymJiYoG3btrwfAwMD6OrqIiAgALGxsQLrxsbGolevXkL3I+k2DMNg1qxZOHz4MM6fP8/reVMFeepJXdpaWsLKwEDdxSCEEKJB5nTvjkMffggXMzN1F4VoIE2KM5UZU6pTc4wpNZnmDWkhEnHSsMeavu7dW91FIE2wNDBAQXm5uovB46CmHFXqkp2djaioKHz++edISkrC6tWrsWLFikbrWVhYwMrKCps2bYKDgwOysrLw9ddfC6xz48YNnDt3DmFhYbC1tcWNGzfw+vVreHt7AwBiYmIwb948iYZN84uKisKkSZPQtWtX9OzZE5s2bUJWVhamT5/OW2fNmjWIiYnBuXPnJN5m5syZ2L17N44cOQITExNeb5eZmRkMlNjg0lQ9aTJNHS9IIxkJIUQ9WCwWdClJORFB0+JMZcWUJSUlePToEe/3jIwM3L59G5aWlnBxcZGt8iTQnGNKTUUNUc2Upo0g0bTykMa2fvABRuzbp+5i8FgaGOD/Bg6EUYOhsi3V5MmTUV5ejm7duoHNZmP27Nn47LPPGq2npaWFvXv3Ys6cOfD19YWXlxdWrVqFvn378tYxNTXFxYsXsXLlShQVFcHV1RUrVqxAREQEAM6sdGlpaVKXcezYscjPz8fixYuRk5MDX19fnDhxgpeUEeAkk+Sf4leSbbjT7vK/BwDYvn07pkyZInU5JdVUPRHxOtnZITUvT93FIIQQQkgTNC3OVFZMeevWLYSEhPB+j4qKAgB8/PHH2LFjh1R1Jg2KKRWPxVD3plhFRUUwMzNDYWEhTNU4Cun/rl/H2fpnUHePHAkTNef3AYDPjh1DTkkJAODYuHFqLg2RxND6BNEdbWywlBK6yy0pKQkBAQFITExEly5d1F0cosGkPVc+/usvgRGM6viOraqtxfqEBN61BwCmBwRgcPv2Ki+LpDTlmk3ob0EIIfKiOJNISt5zRR3XbMoR1UzwtxZqQiMUIYSQlk2XzUZEu3YCv7/P1ytJCCGEEEKILKghishsmJcXACDQ0VHNJSGEEKIM/EnT940eTR0hhBBCCCFEbpQjishsULt28LGxgTPN3kEIIS2SlaEhFgYHw1BHB9pa1HdFCCGEEELkRw1RzYSZBvZCs1gsuFtYqLsYhBBClCiARr0SQgghhBAFooaoZuLDjh2RX16OYMrPQQghLR7NI0IIIYQQQloqaohqJox0dfGfXr3UXQzSQrDUXQBCCCGEEEIIIa0SJXwgpBWxNTQEAPR0dlZzSQgh4vR0clJ3EQghhBBCCFEKGhFFSCvy+8CBSMvLo5wvhGi4yM6dkZafj8dv3qi7KIQQQgghhCgUNUQR0oqY6ukhsE0bdRejxUlNTVV3EYiGk/Yc0dPWxtL+/TH/3DkEODgoqVSEEEII0XQUZ5KmNMdzhBqiCCFERtbW1jA0NMTEiRPVXRTSDBgaGsLa2lri9fW1tfFbeLgSS0QIIYQQTUVxJpGGtHGmulFDFCGEyMjFxQWpqanIy8tTd1FIM2BtbQ0XFxd1F4MQQgghzQDFmUQazS3OpIYoQgiRg4uLS7P60ieEEEIIIc0DxZmkpaJZ8wghhBBCCCGEEEKISlBDFCGEEEIIIYQQQghRCWqIIoQQQgghhBBCCCEqQTmimsAwDACgqKhIzSUhhBBCiDjcazX32k3Uh+InQgghpHlQR/xEDVFNKC4uBgA4OzuruSSEEEIIkURxcTHMzMzUXYxWjeInQgghpHlRZfzEYqjbUKy6ujq8ePECJiYmYLFYCttvUVERnJ2dkZ2dDVNTU4Xtt6WhepIc1ZXkqK6kQ/UlOaorySmjrhiGQXFxMRwdHaGlRdkH1IniJ/WiepIc1ZXkqK6kQ/UlOaorybWU+IlGRDVBS0sLTk5OStu/qakpfdgkQPUkOaoryVFdSYfqS3JUV5JTdF3RSCjNQPGTZqB6khzVleSorqRD9SU5qivJNff4iboLCSGEEEIIIYQQQohKUEMUIYQQQgghhBBCCFEJaohSEz09PXz//ffQ09NTd1E0GtWT5KiuJEd1JR2qL8lRXUmO6orIgs4byVA9SY7qSnJUV9Kh+pIc1ZXkWkpdUbJyQgghhBBCCCGEEKISNCKKEEIIIYQQQgghhKgENUQRQgghhBBCCCGEEJWghihCCCGEEEIIIYQQohKttiHq/PnziIyMRIcOHWBkZIQ2bdpg2LBhSExMbLRuUlIS+vfvD2NjY5ibm2PkyJF48uSJwDrp6en4z3/+g4CAAJibm8PS0hJBQUE4ePCg0OPn5uZiypQpsLa2hqGhIXr27Ilz585J9R4kKRcArFy5EiNHjoS7uztYLBb69u0r0f5bSx2Vlpbio48+gpeXF0xMTGBkZISOHTvixx9/RGlpqUTHaS11BQAsFkvoz9KlSyU6Tmupqx07doisK6ov4edWTk4OpkyZAltbW+jr66NTp07YunWrxMdp7nV1+fJlTJs2DQEBAdDT0wOLxUJmZqbQdWX9XudSZ109e/YMX375JYKDg2Fubg4Wi4UdO3ZIVX5JywXIX1fkneb+GZO0XIB8501rqSeKnyQvF0Dxk6TlovhJunIBFD9R/CQdjYmfmFZq9OjRTEhICLNu3TomPj6eOXDgANOjRw9GW1ubOXfuHG+91NRUxsTEhOnTpw9z/Phx5tChQ0zHjh0ZR0dHJjc3l7fe6tWrmQ4dOjA//fQTc+bMGebEiRPMxx9/zABgFi1aJHDsiooKxtfXl3FycmL+/PNP5syZM8ywYcMYbW1tJj4+XqLyS1ouhmEYLy8vpkuXLkxkZCRjY2PDBAcHUx3xlevNmzfMhx9+yGzYsIE5ffo0Exsby3z77beMjo4OExoaSnXV4HwCwIwePZq5du2awM/z58+prvjKlZub26iOrl27xgwYMIABwDx48IDqi69cb9++ZTw8PBgnJydm+/btzKlTp3jlWrFiRauoq4ULFzKurq7M8OHDmb59+zIAmIyMDKHryvq9rgl1FRcXx1hbWzP9+/dnxo0bxwBgtm/fLlX5VXENJI0198+Yqs6b1lJPFD9R/ETxk/rri+Inip+koUnxU6ttiHr16lWjZcXFxYydnZ3AxXPMmDGMtbU1U1hYyFuWmZnJ6OjoMHPnzuUte/36NVNXV9don4MHD2YMDQ2ZiooK3rK1a9cyAJirV6/yllVXVzM+Pj5Mt27dJCq/pOViGIapra3l/b9jx44Sn0StqY6EmTt3LgOAefz4cZPrtqa6AsDMnDlTov0K05rqqqGSkhLG2NiY6d27t0THYpjWU19LlixhADC3bt0S2D4sLIwxMjJi3rx50+Sxmntd8X9X//rrr2IDKVm/17nUWVf8ZU9ISJApkFLFNZA01tw/Y6o6b1pTPQlD8RPFT8JQ/ETxE8VPFD/xa7UNUaKEhIQw7du3ZxiG8yEwMDBgPv/880brhYWFMe3atWtyf4sWLWIAMC9evOAt69+/P+Pl5dVo3Z9//pkBwDx79kzsPuUplyJOopZeR1zcL7KnT582ua4oLbGu5A2kRGmJddXQ1q1bGQDMjh07mix/U1pafQ0ZMoSxs7NrtN6qVasYAMyePXuafA+iNIe6aqipQIqfIoMDVdQVP1kCKXVfA0ljzeEzpgnnTUuvJy6Knyh+aojiJw6Knyh+ovjpnVabI0qYwsJCJCUloWPHjgCAx48fo7y8HJ06dWq0bqdOnfDo0SNUVFSI3WdcXBxsbGxga2vLW3bv3j2R+wSA+/fvi92nIsolq5ZcRwzDoKamBkVFRTh16hRWrFiBcePGwcXFReyxRGnJdbV7924YGBhAT08PAQEB2L59u9hjNKUl1xW/rVu3wtTUFGPGjBF7nKa0xPqqqqqCnp5eo/W4y+7cuSP2WKI0l7rSBKqqK3mp8xpIGmsunzF1nzctuZ4ofqL4ieInip8ofqL4SVrUEMVn5syZKC0txTfffAMAyM/PBwBYWlo2WtfS0hIMw+DNmzci97dlyxbEx8djwYIFYLPZvOX5+fki98l/XFHkLZc8WnId7du3Dzo6OjAzM0NERAQiIiKwc+dOsccRp6XW1fjx47FmzRqcOXMGu3fvhp2dHSIjI/Htt9+KPY44LbWu+D148ABXr17FuHHjYGhoKPY4TWmJ9eXj44Nnz54hKytLYL3Lly9LdCxRmktdaQJV1ZW81HkNJI01l8+Yus+bllxPFD9R/ETxE8VPFD9R/CQtbZUdScN9++232LVrF1avXo2AgACB11gslsjtRL128uRJzJw5E6NHj8bs2bMl3o7/tbq6OtTV1Qks5z8ZZSmXPFp6HYWHhyMhIQHFxcW4du0afvnlF+Tn5yMmJgZaWtK12bbkutq1a5fAa6NGjcLQoUOxdOlSzJkzBzY2NiL3I0xLrit+3NlLpk2bJnJbSbTU+vrss8+wfv16TJgwARs2bIC9vT327t2Lffv2AYDUn0GgedaVuqi6riShaddA0lhz/Iyp47xp6fVE8RPFTxQ/Ufwk7jWKnxqj+IlGRAEAFi1ahB9//BE//fQTZs2axVtuZWUFQHhLbEFBAVgsFszNzRu9dvr0aYwcORIDBgzArl27Gv1BraysRO4TeNdKGRkZCR0dHd5PaGioXOWSR2uoIwsLC3Tt2hUhISGYP38+Nm3ahKNHj+LIkSOiqkWo1lBXDU2cOBE1NTW4deuW2PUaai11VV1djZ07d8Lf3x9du3YVVhUSacn15e3tjZiYGDx9+hS+vr6wtrbGL7/8ghUrVgAA2rRpI7ZuGmpudaVOqq4rSWnSNZA01tw+Y+o6b1pDPVH8RPETxU8UP1H8RPGT1BSacaoZWrhwIQOAWbhwYaPXuAm9pk+f3ui18PBwoQm9Tp06xejr6zPh4eECWe75DRgwgOnQoUOj5dxZD7jTuGZkZDAJCQm8H+50pbKUi0uWRGOtrY64njx5wgBgli5d2uS6XK21rvbs2cMAYE6dOtXkulytqa4OHz7MAGBWr14t9HVJtJb6qqurY9LT05mUlBSmpqaG2b17NwOAuXDhgtAyCtMc66ohVSXbVEdd8ROXbFNTroGkseb4GVPHedPa6omL4ieKnyh+oviJYSh+ovhJvFbdELV48WIGALNgwQKR63z44YeMra0tU1RUxFv29OlTRldXl/nf//4nsO7p06cZfX19pn///kx5ebnIfa5bt44BwFy/fp23rLq6munYsSPTvXt3icouTbn4SXsStcY64uLO0HHw4EGJjtea62rQoEGMjo4O8/r1a4mO19rqavDgwYy+vj5TUFAg0TEaam31xVVZWcl0796dee+99yQ6FsM077rip4pASl11xU/W6YdVdQ0kjTXnz5gqz5vWWE9cFD9R/CRvubgofqL4SVoUP4mnSfFTq22IWr58OQOAGThwIHPt2rVGP1ypqamMsbEx8/777zMnTpxgDh8+zPj6+jKOjo5Mbm4ub71Lly4xBgYGjJubG3P+/PlG+yssLOStW1FRwXTs2JFxdnZmdu3axcTGxjIjRoxgtLW1mfj4eInKL2m5GIZzoh44cIA5cOAA4+zszPj4+PB+z8zMbPV1tGHDBmbChAlMdHQ0c/78eebYsWPM3LlzGQMDA6ZXr15MdXV1k8dqLXW1bNkyZsqUKcwff/zBxMXFMfv27WPCwsJE9gi05rriev78OcNms5nx48dLtP/WXF+zZs1iDh48yMTFxTFbt25l/P39GSsrK+bevXutoq5yc3N5382TJ09mADDr1q1jDhw40Ggfsn6va0JdMQzDK+svv/zCm9Kcu0wSqrgGksaa+2dMVedNa6knip8ofqL4STPqi+Inip+aY/zUahuigoODGQAif/jdunWLCQ0NZQwNDRlTU1Nm+PDhzKNHjwTW+f7778XuLy4uTmD9ly9fMpMnT2YsLS0ZfX19pkePHkxsbKxU70GScjEMw3z88cciyyWuFbW11NGVK1eYIUOGMI6Ojoyuri5jaGjI+Pv7Mz/88ANTWloq0XFaS10dPXqU6d27N2NjY8Noa2szJiYmTJ8+fZg9e/ZIfJzWUldcP/30EwOAOX/+vFTH4GpN9TVs2DDGwcGB0dHRYezt7ZkpU6ZIdaFr7nUVFxcn8lgNe6Fk/V7XlLqS9NjiKPsaSBpT93nTHGKn1lRPFD9JXi6KnyQvFxfFTxQ/SYrip+YZP7Hq3xAhhBBCCCGEEEIIIUpFs+YRQgghhBBCCCGEEJWghihCCCGEEEIIIYQQohLUEEUIIYQQQgghhBBCVIIaogghhBBCCCGEEEKISlBDFCGEEEIIIYQQQghRCWqIIoQQQgghhBBCCCEqQQ1RhBBCCCGEEEIIIUQlqCGKEEIIIYQQQgghhKgENUQRQgghhBBCCCGEEJWghihCCCGEEEIIIYQQohLUEEUIIYQQQgghhBBCVIIaogghhBBCCCGEEEKISlBDFCGEEEIIIYQQQghRCWqIIoQQQgghhBBCCCEqQQ1RhBBCCCGEEEIIIUQlqCGKEEIIIYQQQgghhKiEtroLoOnq6urw4sULmJiYgMViqbs4hBBCCBGBYRgUFxfD0dERWlrU16ZOFD8RQgghzYM64idqiGrCixcv4OzsrO5iEEIIIURC2dnZcHJyUncxWjWKnwghhJDmRZXxEzVENcHExAQA549iamqq5tIQQkjLlZ2djW7duqGsrEzdRSHNhKGhIW7evMlr8CgqKoKzszPv2k3Uh+InQghRDYqfiDQaxk6AeuInaohqAnc4uampKQVShBCiRJWVlSgrK8Off/4Jb29vdReHaLjU1FRMnDgRlZWVja7P9CiY+lH8RAghqkHxE5GUuNgJUG38RA1RhBBCNIq3tze6dOmi7mIQQgghhDQbFD+R5oQyeRJCCCGEEEIIIYQQlaCGKEIIIYQQQgghhBCiEtQQRVqtHTt2gMViYceOHeouCiGEEEIIIYQQ0ipQQ5SGyMzMBIvFEvvz3nvvqaQsLBYLffv2VcmxFInFYqFDhw4K2Y+4n8zMTPkLSwghhBBCCCGEtEKUrFzDeHp6YuLEiUJfs7e3V3FpWi8rKyvMmjVL6Gvm5uaqLQwhhBBCCCGEENJCUEOUhmnbti0WLlyo7mK0etbW1vR3IIQQQgghhBBCFIwezWvGYmJiMG7cOLRt2xaGhoYwMzNDnz59cOjQIaHrx8XFISIiAo6OjtDT04OjoyP69u2LLVu2AADi4+PBYrEAABcuXBB4HK1hHqUjR44gNDQUFhYW0NfXh6+vL5YvX47a2lqB9fjzMB0/fhx9+vSBiYkJ3NzcAABTpkzhPe62bt06eHt7Q19fH66urli0aBHq6urkrqeCggJMnz4ddnZ2MDQ0RGBgIGJiYuTeLyGEEMUYMWIELCwsMHr0aHUXhRBCCCGkWWjO8RONiGrG5s2bB11dXfTu3RsODg54/fo1jh49itGjR2PVqlWYPXs2b93jx49j6NChMDc3x7Bhw3jr3759G7t27cK0adPg5uaG77//HosWLYKrqyumTJnC254/P9X8+fOxZMkSODk5YdSoUTA1NcXFixfx3//+Fzdu3MCBAwcalfXAgQM4c+YMhgwZgi+++ALFxcUCr//3v/9FfHw8hgwZgrCwMPz1119YuHAhqqqq8NNPP8lcR2VlZejbty/u3r2Lnj17Ijg4GNnZ2Rg7dizCwsJk3i8hhBDFmTNnDiIjIxEdHa3uohBCCCGENAvNOX6ihigN8+jRI5GPhPXo0QMDBw7k/X7ixAl4eHgIrFNSUoJevXrh22+/xSeffAJDQ0MAwLZt28AwDOLj49GpUyeBbfLz8wEAbm5uWLhwIRYtWsT7f0OxsbFYsmQJIiIicPDgQd7+GYbBF198gQ0bNuDQoUMYNWqUwHYnT57EmTNn0L9/f6HvLTExEXfu3IGDgwMA4Ntvv0W7du2wevVqfP/999DV1RVRY+ItW7YMd+/exaeffopNmzbxlk+ePBnh4eEit8vLyxP6/hv+DQghhMgvJCQE8fHx6i4GIYQQQkiz0ZzjJ3o0T8M8fvwYixYtEvpz6tQpgXUbNkIBgLGxMaZMmYLCwkIkJCQ0et3AwKDRMisrK4nLt2bNGgDAxo0beY1QAGemuaVLl4LFYmHPnj2Nths+fLjIRiiA0/DEbYQCODmahg0bhuLiYqSlpUlcvoZ27twJXV1dLF68WGB5WFgYQkNDRW6Xn58v0d+AEKJ63Ed6WSwWtLW14eLighkzZuDNmzeN1pk+fXqj7b/44guwWCyBUZ+5ubn4/PPP4eLiAj09Pdjb2yM8PBzXrl0Telz+H1kap9etWwd3d3fo6+sjICAAly5dErv+xYsXMXToUDg6OoLFYuGvv/5qtM769evRqVMnmJqawtTUFD179sTJkyelLhshhBBCWh6Kn4THT0uWLEFgYCBMTExga2uL4cOHy3X/SSRDI6I0THh4uMSNHbm5uVi6dClOnjyJp0+fory8XOD1Fy9e8P7/4Ycf4vDhw+jevTvGjRuHfv36oU+fPrC1tZWqfNevX4eRkRG2bt0q9HUDAwM8ePCg0fJu3bqJ3W+XLl0aLXNycgIAvH37VqoychUXFyMjIwM+Pj5CZxzs06cPzp07J3RbLy8voe+DEKIZBg4ciO3bt6OmpgYpKSmIjIzE27dvBRrCnZ2dsXfvXvz++++8RviKigrs2bMHLi4uAvsbNWoUqqurER0dDQ8PD7x69Qrnzp1DQUGB0OPy09PTk6rs+/btw5dffol169YhKCgIGzduREREBFJSUhqVi6u0tBT+/v6YOnVqoxGnXE5OTli6dCnatm0LAIiOjsawYcOQnJyMjh07SlVGRQoICEBlZWWj5WfOnIGjo6MaSkQIIYS0ThQ/NXbhwgXMnDkTgYGBqKmpwTfffIOwsDCkpKTAyMhIqjIqUkuPn6ghqpkqKChAYGAgsrKyEBQUhP79+8Pc3BxsNhu3b9/GkSNHBE7csWPHQkdHBytXrsTGjRuxbt06sFgs9O3bF7/99ptADqimjltTU4NFixaJXKe0tLTRMjs7O7H7NTMza7RMW5tzejZMgC6pwsJCABDZ2NZUmQghmovb6wZwGmDGjh3baFKFLl264MmTJzh8+DAmTJgAADh8+DCcnZ0FRpS+ffsWly9fRnx8PIKDgwEArq6uQhvQ+Y8rq99++w2ffPIJpk2bBgBYuXIlTp8+jfXr12PJkiVCt4mIiEBERITY/Q4dOlTg959++gnr16/H9evXRTZE9e3bF35+fmCz2YiOjoauri5++OEHTJgwAbNmzcLBgwdha2uLNWvWiD3+wYMHsWjRIjx69AiGhobo3Lkzjhw5AiMjIyQmJootNyGEEEJUg+KnxhoOAtm+fTtsbW2RmJiI999/X+g2FD/Jjx7Na6a2bt2KrKws/Pjjj7h8+TJWr16NH374AQsXLkSPHj2EbjNy5EhcvHgRBQUFOHnyJKZNm4YLFy4gPDxc4lFHpqamsLKyAsMwIn8yMjIabcedjU+VTE1NAXBGjgnz6tUrVRaHEKIkT548walTp6Cjo9PotalTpwr0wG3btg2RkZEC6xgbG8PY2Bh//fWX0J4naXBnChWlqqoKiYmJjSZLCAsLw9WrV+U6Nr/a2lrs3bsXpaWl6Nmzp9h1o6OjYW1tjZs3b2L27NmYMWMGxowZg169eiEpKQnh4eGYNGkSysrKhG6fk5ODcePGITIyEqmpqYiPj8fIkSPBMIzC3g8hhBBCFIviJ+G4gxksLS3Frkfxk3yoIaqZevz4MQDggw8+aPRaU8/KmpqaYuDAgdi0aROmTJmC3Nxc3Lhxg/e6lpaWyFFI3bt3R35+Ph4+fChH6VXD1NQU7u7uePToEV6+fNno9abqiRCiuf7++28YGxvDwMAAnp6eSElJwf/+979G602aNAmXL19GZmYmnj59iitXrmDixIkC62hra2PHjh2Ijo6Gubk5goKCMH/+fNy5c0fkcfl/fvjhB97rZmZm8PLyElnuvLw81NbWNhqRaWdnJ/R7Slp3796FsbEx9PT0MH36dMTExMDHx0fsNv7+/liwYAHatWuHefPmwcDAANbW1vj000/Rrl07fPfdd8jPzxdaHwAnkKqpqcHIkSPh5uYGPz8/fPHFFzA2Npa43OHh4RgzZgxOnDgBJycnoTkOCSGEECIfip/EYxgGUVFR6N27N3x9fcWuS/GTfKghqplydXUFAFy+fFlg+e7du3HixIlG6587dw4VFRWNlnNHC/EnMbe0tMSzZ8+EHnfOnDkAgMjISN5se/xevnyJ1NRUCd+F8k2aNAlVVVX47rvvBJafOXNGZH4oQojmCwkJwe3bt3Hjxg3Mnj0b4eHhmD17dqP1rK2tMXjwYERHR2P79u0YPHgwrK2tG603atQovHjxAkePHkV4eDji4+PRpUuXRsPVucfl/5k5cybv9REjRkiUX65hrx/DMAoZOerl5YXbt2/j+vXrmDFjBj7++GOkpKSI3YZ/JlU2mw0rKyv4+fnxlnGDPlGjS/39/REaGgo/Pz+MGTMGmzdvFkh8KonTp0/j9evXKCsrw7NnzxAYGCjV9oQQQghpGsVP4s2aNQt37twROvlWQxQ/yYdyRGmYR48eYeHChSJf5742adIk/PLLL5g9ezbi4uLg6uqKO3fu4OzZsxg5ciQOHz4ssN1XX32FrKws9O3bF25ubmCxWLh8+TJu3ryJXr16ISgoiLduv379sH//fowePRqdO3cGm83G4MGD4efnh4EDB+Lbb7/FDz/8gLZt22LgwIFwdXVFfn4+Hj16hEuXLuHHH3+Et7e3MqpHanPnzsXhw4exefNm3L9/H++//z6ys7Oxf/9+DB48GMePH1d3EQkhMjAyMuIl5V61ahVCQkKwaNEigd41rsjISMyaNQsAsHbtWpH71NfXx4ABAzBgwAB89913mDZtGr7//nuB2WH4jysLa2trsNnsRr13ubm5Cslbp6uryytf165dkZCQgP/7v//Dxo0bRW7TcEg+i8USWMYN8Orq6oRuz2azERsbi6tXr+LMmTNYvXo1vvnmG9y4cQPu7u7yviVCCCGEKAjFT6LNnj0bR48excWLF3mTZolD8ZN8qCFKwzx+/FhsInBuQ5STkxMuXLiAuXPn4uzZs6ipqUGXLl1w5swZZGdnN2qImjdvHg4fPozExEScPn0aOjo6cHd3x7Jly/DFF1+AzWbz1v2///s/AMD58+cRExODuro62Nvb81p4Fy9ejPfffx+rVq3CuXPn8PbtW1hZWcHd3R0LFy7kJbVTJe6jhLq6ugLLjYyMcOHCBcybNw8xMTFISkpCx44dsW/fPhQWFlJDFCEtxPfff4+IiAjMmDGj0UwiAwcORFVVFQDOEGZJ+fj4CJ3mVx66uroICAhAbGwsRowYwVseGxuLYcOGKfRYAKenUN68DZJgsVgICgpCUFAQvvvuO7i6uiImJgZRUVFKPzYhhBBCZEPxEydWmj17NmJiYhAfH6/SRqDWHD9RQ5SGcHNzkzoxmb+/P06fPi30Nf4WaIAza97YsWMl2q+9vT327dsndp3+/fujf//+Te5rypQpjcrCb8eOHY2GbnItXLhQ7Ogwfq9fvwYAoUNGLS0tsXHjRqEjAoSVrbUkiCOkJenbty86duyIn3/+GWvWrBF4jc1m8x4Z5m9058rPz8eYMWMQGRmJTp06wcTEBLdu3cKyZcsaBTeVlZWNeuO0tbV53z0xMTGYN2+e2OHlUVFRmDRpErp27YqePXti06ZNyMrKwvTp03nrrFmzBjExMbxHiEtKSvDo0SPe6xkZGbh9+zYsLS15UxbPnz8fERERcHZ2RnFxMfbu3Yv4+PhGs8Eo2o0bN3Du3DmEhYXB1tYWN27cwOvXrzVmZCwhhBBChKP4CZg5cyZ2796NI0eOwMTEhFdOMzMzgfQ1itba4ydqiCItwpEjRwBwkqkTQlqnqKgoTJ06VWjSTe4smsIYGxuje/fu+P333/H48WNUV1fD2dkZn376KebPny+w7qlTp+Dg4CCwzMvLixc4FRYWIi0tTWw5x44di/z8fCxevBg5OTnw9fXFiRMneLn/AE5STu6kFABw69YthISECLxXAPj44495jfmvXr3CpEmTkJOTAzMzM3Tq1AmnTp3CgAEDxJZHXqamprh48SJWrlyJoqIiuLq6YsWKFU1Ol0wIIYQQ9Wvt8dP69esBcBrl+G3fvl3sgAp5tfb4icXQ8A+xioqKYGZmhsLCQrEfRKIeP//8M+7du4f9+/dDX18f9+7dg5ubm7qLRQiRQVJSEgICApCYmIguXbqouzhEwwk7X+iarTnob0EIIapB8RORlKhzRR3XbBoRRZq1X3/9FbW1tQgNDcWPP/5IjVCEEEIIIYQQQogGo4Yo0qxJO8UlIYQQQgghhBBC1EdL3QUghBBCCCGEEEIIIa0DNUQRQgghhBBCCCGEEJWghihCCCGEEEIIIYQQohLUEEUIIYQQQgghhBBCVELhDVF1dXUoKytT9G4JIYS0chs2bICJiQlqamp4y0pKSqCjo4M+ffoIrHvp0iWwWCykp6cDAJKTkzFkyBDY2tpCX18fbm5uGDt2LPLy8njbHDp0CN27d4eZmRlMTEzQsWNHfPXVV1KX88KFCwgICIC+vj48PDywYcOGJrc5d+4cevXqBRMTEzg4OOB///ufwPsEAIZhsHz5crRv3x56enpwdnbGzz//zHs9Pj4eLBar0c+DBw+kfg9E9Sh+IoQQogytOX7KzMwUGhudOnVK6vIRxZK7IaqiogI7duzAmDFj4OjoCF1dXZiYmMDQ0BBdu3bF3Llz8c8//yiirIQQQlqxkJAQlJSU4NatW7xlly5dgr29PRISEgRu4uPj4+Ho6Ij27dsjNzcX/fv3h7W1NU6fPo3U1FRs27YNDg4OvG3Onj2Ljz76CKNHj8bNmzeRmJiIn376CVVVVVKVMSMjA4MGDUKfPn2QnJyM+fPnY86cOTh06JDIbe7cuYNBgwZh4MCBSE5Oxt69e3H06FF8/fXXAuv961//wpYtW7B8+XI8ePAAx44dQ7du3RrtLy0tDTk5Obyfdu3aSfUeiGpQ/EQIIUQVWnv8xC0nf2zUr18/qcpHlICRUVlZGbNw4ULGwsKC0dLSYnx8fJiJEycyUVFRzPz585np06czYWFhjLm5OaOlpcX07t2buXr1qqyHU5vCwkIGAFNYWKjuohBCSIuWmJjIAGASExNFruPo6MgsWbKE9/vcuXOZmTNnMj4+PkxsbCxveb9+/ZgJEyYwDMMwMTExjLa2NlNdXS1yv//617+Yvn37yv0e5s6dy3To0EFg2eeff8706NFD5Dbz5s1junbtKrAsJiaG0dfXZ4qKihiGYZiUlBRGW1ubefDggcj9xMXFMQCYN2/eyP4GmhFh50tzuGZT/EQIIUSRKH56p2H8lJGRwQBgkpOT5S5jSyDqXFHHNVvmEVHt2rXD7t27sWDBArx48QL379/HH3/8gRUrVuCnn37C+vXrcfr0aRQUFCA2NhZubm4ICQnBli1b5G89I4QQ0ir17dsXcXFxvN/j4uLQt29fBAcH85ZXVVXh2rVrCAkJAQDY29ujpqYGMTExYBhG6H7t7e1x//593Lt3T+SxucO74+PjRa5z7do1hIWFCSwLDw/HrVu3UF1dLXSbyspK6OvrCywzMDBARUUFEhMTAQDHjh2Dh4cH/v776R67QwABAABJREFUb7i7u8PNzQ3Tpk1DQUFBo/117twZDg4OCA0NFagrohkofiKEEKJqrTV+4vrggw9ga2uLoKAgHDx4UGQ5iOrI3BC1ePFipKSkICoqCnZ2diLXY7FY6NevH/744w+kpKSgbdu2sh6SEEJIK9e3b19cuXIFNTU1KC4uRnJyMt5//30EBwfzApzr16+jvLycF0j16NED8+fPx/jx42FtbY2IiAj8+uuvePXqFW+/s2fPRmBgIPz8/ODm5oaPPvoI27ZtQ2VlJW8dHR0deHl5wdDQUGT5Xr582eiaaGdnh5qaGoF8CvzCw8Nx9epV7NmzB7W1tXj+/Dl+/PFHAEBOTg4A4MmTJ3j69CkOHDiAnTt3YseOHUhMTMTo0aN5+3FwcMCmTZtw6NAhHD58GF5eXggNDcXFixelqGGibBQ/EUIIUbXWGj8ZGxvjt99+w8GDB3HixAmEhoZi7Nix+PPPP6WvRKJYKht71UzR0HJCCFENSYaWP3z4kAHAXL16lTl+/Djj4+PDMAzD5OTkMDo6OkxJSQmzaNEixsXFpdG2eXl5zP79+5moqCjGw8ODMTc3Z+7cuSOwzqNHj5jNmzczn3zyCWNubs506tSJKS0tlfg9tGvXjvn5558Fll2+fJkBwOTk5IjcbsWKFYypqSnDZrMZQ0NDZsmSJQwAZt++fQzDMMynn37KAGDS0tJ423DrS9zjekOGDGGGDh0qcfmbk+b6aF5rQX8LQghRDYqfRMdPwsyaNYvx8/OTuGwtSYt4NI8QQghRtbZt28LJyQlxcXGIi4tDcHAwAM7QcHd3d1y5cgVxcXFCk1BaWVlhzJgxWLFiBVJTU+Ho6Ijly5cLrOPp6Ylp06Zhy5YtSEpKQkpKCvbt2ydx+ezt7fHy5UuBZbm5udDW1oaVlZXI7aKiovD27VtkZWUhLy8Pw4YNAwC4u7sD4Ix20tbWRvv27XnbeHt7AwCysrJE7rdHjx54+PChxOUnhBBCSMvTWuMnYSg20gwKa4iqq6vDzp07FbU7QgghRKiQkBDEx8cjPj4effv25S0PDg7G6dOncf36dd6wclF0dXXh6emJ0tJSkeu4ubnB0NBQ7DoN9ezZE7GxsQLLzpw5g65du0JHR0fstiwWC46OjjAwMMCePXvg7OyMLl26AACCgoJQU1ODx48f89bnTq3s6uoqcp/JyclwcHCQuPxE9Sh+IoQQogqtMX4ShmIjzaCwhqjq6mpMnTpVUbsjhBBChAoJCcHly5dx+/ZtXo8ewAmkNm/ejIqKCoFA6u+//8bEiRPx999/Iz09HWlpaVi+fDlOnDjB6zlbuHAh5s6di/j4eGRkZCA5ORmRkZGorq7GgAEDAADPnz9Hhw4dcPPmTZFlmz59Op4+fYqoqCjeNMdbt27Ff/7zH946MTEx6NChg8B2v/76K+7evYv79+/jhx9+wNKlS7Fq1Sqw2WwAQP/+/dGlSxdERkYiOTkZiYmJ+PzzzzFgwADeKKmVK1fir7/+wsOHD3H//n3MmzcPhw4dwqxZs+SscaJMFD8RQghRhdYYP0VHR2P37t1ITU3llX/VqlWYPXu2/BVK5KItzcqLFy8W+ZqobPaEEEKIIoWEhKC8vBwdOnQQSGwZHByM4uJieHp6wtnZmbfcx8cHhoaG+Oqrr5CdnQ09PT20a9cOW7ZswaRJk3jbrl27FpMnT8arV69gYWGBzp0748yZM/Dy8gLAuc6lpaWhrKxMZNnc3d1x4sQJ/Pvf/8batWvh6OiIVatWYdSoUbx1CgsLkZaWJrDdyZMn8dNPP6GyshL+/v44cuQIIiIieK9raWnh2LFjmD17Nt5//30YGRkhIiICK1as4K1TVVWF//znP3j+/DkMDAzQsWNHHD9+HIMGDZKxpomiUPxECCFE3Vpj/AQAP/74I54+fQo2m4327dtj27ZtmDhxouwVSRSCxTAi5mIUQldXFyNGjICpqWmj12praxEdHY3a2lqFFlDdioqKYGZmhsLCQqHvmxBCiGIkJSUhICAAiYmJYodUEwIIP1809ZpN8ZPm/C0IIaSlofiJSErUuaKOa7ZUI6L8/PwwefJkDB48uNFrFRUV2LFjh6LKRQghhBDSIlD8RAghhBDyjlQ5oj799FORPXY6Ojr4/vvvFVIoQgghhJCWguInQgghhJB3pBoRNX36dJGvsdlsCqQIIYQQQhqg+IkQQggh5B2FzZqnaYqLizF37lyEhYXBxsYGLBYLCxcuVHexCCGEEEI0tvGJ4idCCCGEKJvcDVGaGkjl5+dj06ZNqKysxPDhw9VdHEIIIYQQnl9//VXdRRCK4idCCCGEKJvcDVGaGki5urrizZs3uHDhApYsWaLu4hBCCCGE8EgxabFKUfxECCGEEGWTKkeUMJoaSLFYLHUXgRBCCCFEKE2NUzS1XEQzHD9+HAzDYMiQIeouCiGEkGZM7hFRFLAQQgghpKERI0bAwsICo0ePVndRCCEKUF5ejlu3biExMRGZmZn4+++/UVRUpO5iEUJIi9cSY6oWm6xcVpWVlSgqKhL4IYQQQoh05syZg507d6q7GERFKH5q+erq6nj/j46ORmJiIg4cOKDGEhFCSOvQEmMqaohqYMmSJTAzM+P9ODs7q7tIhBBC+PTt2xdffvmlzK8T1QgJCYGJiYm6i6GxNDW1gawofmqdnj9/ru4iEEIkRPFT89USYyq5G6JaWiA1b948FBYW8n6ys7PVXSRCCCFSOHz4MH744QeVH3fdunVwd3eHvr4+AgICcOnSJbm3uXjxIoYOHQpHR0ewWCz89ddfSio9UbWgoCB1F0GhWnr8VFJSguTkZFRXV6u7KBqFYRjk5eWhoKBA3UUhhMhJXfGTMMqIqZYsWYLAwECYmJjA1tYWw4cPR1pamrLeAmmC3A1RLS2Q0tPTg6mpqcAPIYSQ5sPS0lLlvUb79u3Dl19+iW+++QbJycno06cPIiIikJWVJdc2paWl8Pf3x5o1a1TxNqQSEBAAX1/fRj8vXrxQd9GahbNnz6q7CArV0uOnbdu24ejRo4iNjVV3UTTO2rVrsXr1aoFH99Th+fPneP78OWpra/HkyRNqNCRESuqIn4RRVkx14cIFzJw5E9evX0dsbCxqamoQFhaG0tJSVbwtsVpjTCV3Q1RLC6QIIYRovpqaGsyaNQvm5uawsrLCggULeCN0Gw4tP3XqFHr37s1bd8iQIXj8+LHA/g4ePAg/Pz8YGBjAysoK/fv3lyow+e233/DJJ59g2rRp8Pb2xsqVK+Hs7Iz169fLtU1ERAR+/PFHjBw5UuKy9O3bF7Nnz8aXX34JCwsL2NnZYdOmTSgtLcXUqVNhYmICT09PnDx5Uux+mqqTxMRE3Lt3r9GPo6OjxGUlpLl48+YNAODBgwdqLon6NPUURFVVlYpK0lh1dTW2bNmCLVu24Pjx4/jjjz/UPoK0rKwMMTExyMzMVGs5COGnafGTMMqKqU6dOoUpU6agY8eO8Pf3x/bt25GVlYXExESR+6WYSnkUkiPq/PnzAskKX716hUGDBsHe3h6TJ09GRUWFIg4jtZMnT+LgwYM4duwYACAlJQUHDx7EwYMHUVZWppYyEUIIkV90dDS0tbVx48YNrFq1Cr///ju2bNkidN3S0lJERUUhISEB586dg5aWFkaMGMHrvc/JycG4ceMQGRmJ1NRUxMfHY+TIkbzAbMeOHWJniK2qqkJiYiLCwsIEloeFheHq1asK20Ya0dHRsLa2xs2bNzF79mzMmDEDY8aMQa9evZCUlITw8HBMmjRJ5LWwqTohikHxk+a7d+8e5UGSUE1NjdqOXVlZyft/cnIyAM55qyrPnz/HypUrcf/+fd6y06dP486dO4iOjlZZOQhpiibFT8KoMqYqLCwEwBkJJg7FVMqhrYidfPfddxgwYADv97lz5+LSpUsYMGAADh48iHbt2uHbb79VxKGkMmPGDDx9+pT3+4EDB3gBX0ZGBtzc3FReJkIIIfJzdnbG77//DhaLBS8vL9y9exe///47Pv3000brjho1SuD3rVu3wtbWFikpKfD19UVOTg5qamowcuRIuLq6AgD8/Px465uZmcHLy0tkWfLy8lBbWws7OzuB5XZ2dnj58qXCtpGGv78/FixYAICTu2fp0qWwtrbm1c93332H9evX486dO+jRo0ej7ZuqE0mEh4cjKSkJpaWlcHJyQkxMDAIDA+V8Zy0LxU+a7fnz5zh06JC6i6Exmrppqq2tVVFJpFdWVobbt2+jU6dOMDY2Vvj+9+3bh+LiYhw8eBAdO3YEAMqbRTSSJsVPwqgqpmIYBlFRUejduzd8fX3FloliKuVQyIio9PR0dOnSBQCnNyQmJga//PILDh8+jMWLF2PPnj2KOIzUMjMzwTCM0J/WEkQRQlq+kpKSVjf0v0ePHgK9bD179sTDhw+F3gg9fvwY48ePh4eHB0xNTeHu7g4AvLwB/v7+CA0NhZ+fH8aMGYPNmzfzHsMBgBEjRkj0OE7DXj+GYZrsCZRlG0l06tSJ9382mw0rKyuBoIcbrOXm5grdvqk6kcTp06fx+vVrlJWV4dmzZ80+YFIGip80U1JSEtauXYuHDx+quygapamGKE3u3T9w4ABiY2Oxd+9epeyffzRYTk4O0tLSNLo+SOulSfHTrl27YGxszPvhTy6u7Jhq1qxZuHPnjkTXWYqplEMhDVFFRUUwNzcHwHm+sbS0FB988AEAoFu3bmITixFCCJHP77//jujoaDx69EjdRWnk+fPnuHr1qlqT2A4dOhT5+fnYvHkzbty4gRs3bgB4l8+EzWYjNjYWJ0+ehI+PD1avXg0vLy9kZGRItH9ra2uw2exGvW65ubmNeufk2UYaOjo6Ar+zWCyBZdzATNTfRd46IZKh+EkzHTt2DHl5ebhw4YK6i6IRioqKcOnSJZSUlIhdT50NL00dm9tZo4rHLDdt2oS9e/fi1atXSj8WkU9ubi4SEhJQUVGBTZs24eLFi+oukkZRdvz0wQcf4Pbt27yfrl27qiSmmj17No4ePYq4uDg4OTk1WU6KqZRDIQ1Rtra2vF6js2fPwtXVlfdHLS4ubvTHI4QQRausrJS6d6Gl4F74GiaQ1ARbtmxBbGws/vnnH4Xu9/r1641+b9euHdhstsDy/Px8pKamYsGCBQgNDYW3t7fQ84TFYiEoKAiLFi1CcnIydHV1ERMTI1FZdHV1ERAQ0Gg2rdjYWPTq1Uth26iaPHVCJEPxE2kOdu7cifPnzzf5mKI6GqIyMzOxZcsW5OTkCH09PT0dT548UXo5hI26UGfOLHWrra3F4cOHxSaB1gTr16/HiRMnsHnzZuTk5CAuLk7dRVI6TYqfTExM0LZtW96PgYGBUmMqhmEwa9YsHD58GOfPn+eN8FIFiqkaU0iOqIEDB2L+/Pm4f/8+duzYgY8//pj32oMHD1rFMG5CWoL8/HycOXMGffr0QW1tLUpKSni5DjTdb7/9hqqqKsycORPW1tbqLo5a1NbW8i6sqry4SuL169cK3V92djaioqLw+eefIykpCatXr8aKFSsarWdhYQErKyts2rQJDg4OyMrKwtdffy2wzo0bN3Du3DmEhYXB1tYWN27cwOvXr+Ht7Q0AiImJwbx588QOL4+KisKkSZPQtWtX9OzZE5s2bUJWVhamT5/OW2fNmjWIiYnBuXPnJN6mpKREYKRbRkYGbt++DUtLS7i4uMhWeRJoqk6IYlD81DyVlJRAX18f2toKCaM1Xn5+PoCmcx6poyGKmwhc1OM16nq8tbW7c+cO7t69i7t37yIgIEDdxWlSa8rnpWnxkzDKiqlmzpyJ3bt348iRIzAxMeGNoDIzM4OBgYFUZZQGxVTCKeQK+vPPPyMrKwubN29Gt27deMm8AGD37t0a07tLCHmHYRjk5+fD0tIStbW1qKqqwoEDB/Dq1Sukp6fz1rO1tYWNjY0aSyoZ7jDhx48fy90QxTAMampqNH40QsNn35OTk1FTU4NLly7h+++/V2PJGlP0DcrkyZNRXl6Obt26gc1mY/bs2fjss88araelpYW9e/dizpw58PX1hZeXF1atWoW+ffvy1jE1NcXFixexcuVKFBUVwdXVFStWrEBERAQAzqwqaWlpYsszduxY5OfnY/HixcjJyYGvry9OnDjBS0oJcJJp8o9ak2SbW7duISQkhPd7VFQUAODjjz/Gjh07pKozaTRVJ0QxKH5qfoqLi7FixQpYWFhgzpw5Kj8+wzCora3VyEaw1pgTqbq6WmG5/VqS8vJy3v8ZhkFFRYVSb/SJ5DQtfhJGWTHV+vXrAUDgPQDA9u3bMWXKFKnLKSmKqYRjMUq+ahQVFUFfXx+6urrKPIzSFBUVwczMDIWFhTA1NVV3cQhRmBs3buDUqVPw9/dHWlqayGnCx40bh/bt26u4dNJbtGgRACAiIgLdunWTa19HjhzB7du3ZRpdlZmZiZKSkiZn4JBXeXk5Nm3aBB8fH6FT02pKQxT379KjRw+Eh4eLXTcpKQkBAQFITEzkJXAmRBRh50tLumZT/KRa1dXVOHToENq3b49jx45JtI06vmfPnz+PK1euYOrUqRLlNpEHt4GF+z3elC+++ELlHVeSlo2fov5uDMPg119/RXl5OfT09FBZWan0Y8oiPz8fp0+fRlBQEB48eICXL19i0qRJ0NJSSIYWoa5cuYKzZ88CANq3b4/09HR8/vnnsLe3V9oxZSHs/NGU+EkaFD8RSYk6V9RxzVZ6d0pzCD5I68PNqaPMi7Ai1NXVKa2M3CSs//zzD5IA1AIQNv+CJk/H3JSkpCRUVFRIParg9u3bAIBr165h6NChUm3LfUzA3t5eqY8IJiQk4O3bt0IboTRRa+wpJ0QeFD+p1q1bt5CWliZT770qcWeVOnbsGGbMmKG049TV1WHLli2wsLCQeJvW+D3PHfkjrhEK4NRNVVUV9PT0VFEsASdOnMCTJ08EZoF89OiRUjsZ+ZM2c0fZJyQkCMRUNJKMkNZNs+/CiVyePXuGs2fPorq6Wt1F0Sh1dXVYtWoVNmzYAIZhUFZWBgCoqq1FjRpn9mooNTUVP/74I+7evavU49QAeADgIYAyIa/X1dXh5cuXzSbpJv/MFceOHUNsbCyKiopk2lcVw2BdQgLu8s18U11djQMHDjSZfLuwsFCmY0pKllnoCgoKVDKzHnca+jt37ij9WIQQoghNNSQIc//+faxfvx55eXlKKFHTKisrlTYj6bNnz5CTk4OUlBSJt2ltDVHS1H10dDSWLl2Kt2/fKq9AIgiLgZQd0wk7F/iXnT17Fr/99huKi4uVWg5+hYWFvJlIuY9UEkLUhxqiWrCtW7fiypUruHjxIgoLC1FVVYX09HTExMTIFHCpE8MwSE1N5SXMlMebN29QWFiI169f49q1a/jl118Rf/Eixh06hE+OHlVAaeWzKTER0bdvY//+/WAYBocPH1bq8fgvwzUAsgBU8S07e/MmJmzciJU7dyq1HKLcunULJ06ckDhgqK6uxoMHDwSmmZY1UL9YUICTjx5h/vnzvGUJCQlISUnBX3/9JXbbP//8E9nZ2TIdV1lWr16NXbt24enTp0o9TnJyMu7cuSMwGwg3rwkhhGgiWUYfHzx4ELm5uU1eD5ShrKwMS5cuxYYNGxS631evXuHq1auNGiok+fZW5Y19cnIyEhISZNq2urpaIXEwwzD4B4AkpeBed+/duyf3cSVVW1eHmro6vK6tRTyAt3yvKasBk4v/XEgDcBkQ6Oy9cuUKSkpKEB8fr9Ry8Fu5ciW2b9+OtLQ0LFmyBAcOHFDZsQkhjWlepkOicOnp6bh8+TIMDAx4Q4iNjY0xYMAANZdMco8ePcL+/fsByP/sNv8IsfWxsbgFID0uDlXt26OgvFwtQ4VzS0sRl5GBbm3aYN25c9BisTAEALvJLRUrCcALAHYAQuuXRWdloRTA5uxs/EfF5QGA48ePAwC8vLxQVVUFFxcXGBkZAQBKS0sRGxsrMCMLd+pW/twZsj7e+Ka6GuAbRs8wDEpLSyXeftu2bRqZa+DZs2cCyRsVTVgdFRYW4qeffkKnTp0wfPhwpR2bEEJkIc9j8Oro3ON2trx+/RoFBQW4d+8eunXrhn/++QeGhobw8/OTab/chi3+x7buALgHoD+AQgBGABzlKr18ampqcLRBxyED4DoAUwBNzfX766+/orq6GvPnz5drUpLaujrcr/+/HYBMAP4AzMRsw2arJrJjGAYzjh9HSVUVMsrKUADgNYBR9a/zN0QpY4IW/oaoxPp/U4XEBup4auPo0aO8Dm5CiPpQQ1QrkJubC0BwBgtlPzYki9zcXNy9exdBQUHQ19cXeO3Zs2cKO05dXR0SAJjjXS9WEgD3qiqAxUItw0BbxQ1R/zt7FnllZTidns77Oym7X5EbJPAf50X9v6/4lkne7KJcZ+PjcfrZM3Q0NsYPX30FgJP3ICUlRehjcgo5Z1gsVJSXQ1tHB+fOncPt27fh4eEh1S7S0tLg5eUlf1kakLbn+fXr1wovgzS4eVe4f6thw4ZRbghCiMbQ9JyR4mzYsAHV1dV49OgRbySurA1RXPzXUO4YnrN8r48Xsk1tbS1evHgBe3t7Xn2+ffsWN2/eRPfu3WFmJq6JRnL8o2uLAKQDsAKQUb/MsX6ZLziNZg1xGz/y8/NlSp6d9eIFok+dwoj33+ctu1z/bz6AEWK2VfZ5VlxZif3376OfuztSsrNRWVGBivpGp2oAp+r/HVpTg4yMDDg4OODQoUN49OgRoqKiYGJiItfxq6urUV5ejtLqapwDwB8xVdbVNersVUccwJ1lmRCiXtQQ1coUAcgF0F4D8/1wp9QsKSnBsGHDJNrmyZMnMDU1lSgp9OPHjxEbGwuLDh3wUMjrGZmZADgNVbl5ebCxsVHZBfJVcTEKCwtRLsPUthkZGTh9+jSGDh2KNm3aSL29qOYM1T21L5m/nz1DOoD7JSX4oX6ZpHk5ZH1coLioCFn1+Qv+fPIEzwD0qM97JOmX5969e9U6KqqoqAjHjh0TyA2l7gagf/75BwEBAXB2dlZrOQghhIv/e/EFgBwA79X/aw7AWB2FEoMBp+HFCoBZfcOKIh8HZxgGtQBEXS0YAJUAdAFcAWABTt6fzMxMBAYGYtCgQQA4j6nn5+fj8ePHCkuuzj+a5wwE0wkAwGkAdeCM3goTsx9ZY4Oofftwt6gIsbt2NXqtHEABOPVjAuAJABcAhvWvK7shauX167j54gX+fvhQaAfU2/p/4xMSUPryJezt7fHy5UsAwN27d6We3KWh6Rs24G5BATrY2uIVBDs2CwsLsWzZMvTo0UOuY8iLvyGzGkAJOOcvV0lJCfLz85U6cpwQQg1Rrc7f9f86FBdjnFpLwsEwDA6kpMCTb1aWFy9eNFpP2I3zq1ev8McffwAQ/bgewzC8XEvcERlJr14JXZfr1OnTSL51C7169VLZ44s5OTkoKysTeJ8MOBdIHQA3nj2DvrY2/IX03O2sz920c+dOzJs3T+Jj5tbV4SoAUXOmSDZ5tXLU1dUhNTUVLi4uyAVnVFbD7GDSBJCyBptFfEk0uXPTMQCyAXiB02OcnZ2NHj16qLxxh/89PQYnt1dvcM4XfmfPnlVJgnJp0SQKhBB5KPMx+vj6fwsBvKz/v7ARQPxlUbVMcB5FA4APwbmZNud7nWEY5Ofnw8rKSqZ6qmEYHILoBrib4Fx7OoBzTcwG4FvfoZeQkMBriOLm9uSOzlcE/oYoYWNbuK++Beearaiz5FhaGgx0dJBS/4iZqGjyVP2/9uCcP48ADKlfpuyGqKsZGXiWkwM7W1ux691++RIPAHR5+RLcLkxFPDZ4uaAAAHBDyN87Lz8floBAXih1d4ydACfG7AfO3wsAVq1aherqakycOBGenp7qKxwhLZzCGqL++usvXhLciooKgddYLFaTM0wR1cqqrMTPly7B384Og5U4fSs/hmFw8coVONja8nIP3Hj2DMtOnYKBgQH6S7m/V0IalF69egUTExMYGnL6nsrLy/HgwQOBdZoKAW7eugUdAFevXkX//v2VepHk3oxzZ+7jD2YfALgLIBDArfrpmjcPHYorWVkY1K4dDBo8yy/tUOPrtbUowLtAVhIMw4ABoKXkwOHmzZs4ffo09PX1eY8C8P/d/v77b6SnpzcZ/HNflfUmQdi75PY3p4EzIQAAGBkZoVOnTjIdQxFu1P+bCqBhKRp+HyvK+YwMnHvyBF/37g0TNUxHTUhLQfGT9M6dO4ekpCR8/vnnMDU1VdpxXja9ilKlp6cjPT0dAwYMwB9//AEHBwfea/ydM7EA3gAIBniNCmfOnMH169cREhKC9/keIZNUbm0taiCY4Jrf4/p/+SOsSnBGkDk1Xl2h6urqJEpfUAPgKDijxnoLeV2a2KCgvBybkpIASN6wxT1/+OesU3aOqKdPn6IWQHYT6Qm4qSku4F0jq6xlYxgGjwoK4GpuLtP2xcXFMDY2VlmjVA3DIB2chidu+okscPJ8sfAuNk9PT6eGKEKUSCENUb/++iv+97//wcbGBm3btuUlEiaqlfn2La5kZWGUjw/0tcX/adPLy1H67BmuPXsGx9JS3L17Fx9++GGj3EyKlJCais/OnYMrgDP1I5hupaaiuKQExSUlSAGn12gcw+D169fQ09PjBZiSXJxevXrFS7LJHSHFP+tLBjg36u2a2A83LKkGMP3vvxHg6IjP+JJhK0pdXR2mLl0qNH8BwGmEAjjBgmNJCepqazHzxAlU1dYit7QUMwID5Tp+gQyNMyErV6KurAxxX3+Nyro6GCowsSW/9PR01ECwEYV/fpdtiYnIA6cHS9yZEQ9OYDxLibPDMBDeKKoOZXz/v3v3Lp4/f660Y/1+ndOEuevuXUzv2lWh+6YEokQSLeE8ofhJNpcvczLynD17Frm5ufD29kZwcLBc+2SxWKiDZNNJ19avp+zb5j179gAAXr58iefPn+P58+eogeB3PcBphAI4cY4JOI+BXa//jo6Li5OpIUqWDpzz9WVpD05joYEM6QYkUVldjb/Bea9NKYVicl1W8sWT8ox/09LSQnl5udLqRp6ysdlsFBUVwcTEROJGobq6OuxPTMSiU6fQ291d7Lo14CS+bwPO6O1ycFJs/PPPP/D29saHH34oR+kllw4gucGyEgCHAHjjXbL75jjTb0u4LhLl0qRzRCENUevWrUNkZCQ2btyostkgSGOzT54EAJRWVzfZcMIAqKyogLaODm/mkUuXLin1UbRjDzmZmfgnjuefaeZ2/b9XCgtRum4dAPEz5DW8SD58/BgX8G5oLcC5iOSBk8PgWv2ypqbZ5V7EMwEUlpTgRXo6Brdrh6vZ2RjSvn2jkUiySs3JQYKEDSTcxxUZcIa5XwUwrUsXsBsM8a6oqIC2tja0xTREXv3nH7yRMLdSQzlFnH69tWfPIragANMDAngj6hT5mMTj8nLsByc/hzDcWWoyAbhB+M0AA07PLABkFxXB2spK4uOngZPXoakvyKvgBN1dlPyYWWlpKfbs2YPOnTvzZggsrq7GA3DePxcDTsBtAODw4cNKLROvbFVVqKqqgo6ODudGrq4OBfVD88URdq5YW1vD0NAQEydOVEZRSQtkaGgoUY5ATUXxk3zu3uV02bx69UquhiiGYVBYVYXDAERlhckDZ0RsO3DSHDiAMwJJFfg7FS6A80iYuZD18sApmzmAHuA0THXi+6598OABTpw4gVGjRjWZ/0aWhihug9hTvGssVIa0ggIUQ7pclpngND68D84IKUC698jW0kJlZaXcn9M7d+4gJiYGoaGh6N1b2Dgt2VRWVsrdcPL48WMcPXoU/v7+Es1uuz8mBndSUxGvpYW6ujpcfPxY7Pop4DxKeY9vmV5xMcyhvJvj8vJy7NmzB506dUIBOI/bNkz1ALwbvfYP1NMQVVZWhtzcXLi6usoUS1P8RKShKbGTQhqi8vPzMX78eAqiVODFixcwMTHBs2fPcOXKFYwcORIPy8rgzDcTyWO+m0DuV2gmAP7TrbKyEk+zsgBwRv7kAfCTYlp6WQj7Wq0TEgRUVFWhDAD/2CxRX8qVeHcSJ795g+cA+MeA5BQX44yU5SwFJ4jiv/xMPXgQ+W/eILugAFF9+ki5R+EKZZjumTvyJjU9HeMOHYKtkRHs+F7/5ZdfYGBggLlz5wrdvrSqClP/+kuG0gra9+gRLC0tsSExEYPbt0dqair2798Pd3d3jBo1Su5e/TP1DV63m1jvOTjTAncDJxkoP/4zS5JgM7+sDF+fPYuIdu14Uw03JbP+37uFhfiAb3nDXvXMzEzo6OjIlEwe4PRoc3vDuQ1Re7KzkQyAf/D9KwBHADgDUMxZ2rSKykr8a8kSdHRxwaDgYF7eNq5aABVoPHORsL+Ji4sLUlNTJU5Czy8nJ4fXqB5bf1x/cG4WE8Hpie0uZLsqAHB0RJ2NDd53dUVnvkdfAGDjxo0AgA4dOkh8o1taVQUtLS3MO3sWeXl5KC0txUAx60+ZMgX5+flwcHBQWGPurWfPsPT0aejr6uLPSZMAcK7VBw8eFFjP2NgYEyZMwKxjx1BWXo5gNzdUJAv2FdvY2KBr164wNjZGXl4ebty4gfDwcNiKyUHy5SlOlhQ2w6B9/bWGX6dOndCzZ0953yasra3h4tLw0998UPykOLW1tSgoKICNjY1U2507dw7Jycl4YW+PKkDoZCYAeLHEY3C+45+Dk5T6MYD3FTjqlmEYJCQkwNHREQ/Auc70AacTzQnv8hK9FbJtGd9r3DxFtVpaePbsGfT19bFv3z4AnJyS3377rcLKLAy3M0eRn863b98iNTUVNTI8AsbN83gJnEY6aW+ACt6+xdOnnK5UWT6vN8B5RK/u8WNUAzh77hwCAwNRU1OjkJGQS5culXnbVHBGBDH374MFzoQikjREfVs/eYuktSEsgcQbCG9UVZSLFy8iOzsb2dnZvM+EcsbyNy23tBTGurq8pwkYhsHDhw9hb2+PTZs2obS0FGPGjIGPj4/U+5Y1fqqpqUFlZSX+/PNP6Orqik3z4eDggA8++EDk6wCnQfHixYsAgM8//1yiMvDiBS0trAgTN72A6qSnp8PIyAht2rRBeXk5amtrsat+coIpU6ZAjy8lxf9t3IgScBrG0+qXtQfnGmGPd48xdwbnEdBOALhbjx49GlZSdJQriqbETgppiAoKCkJqair69euniN0RcL6c7t27hzZt2sDS0hIA50Zr8+bNAuutPXQIcSwW9PX0wG4wCiYJnIDKHZxH3vhDM/5Wfu4twqm8PIxU9BtpgrCGqDwAf4FzA1ldW4s3FRVCb86KqqpwCJwb3MUAKvje073cXNx68QJGMgSHp/EuuaVTeTkYhuFNY3wyMVFhDVHy3G4WgzNMPKuwUKAhCuD0/ghTW1uLlyUlchz1nYZ/j/379wPgzOC3f/9+TJ06Va79S/rFxD13LwMYB87NATcgkrYhantSElKys5H95k2T6zZUzXee3QCncWgI3l1ooqOjAQALFiyQKYDlDwwuX76Mp0+fIrM+rxh/OlDuTUhT8ybJ2thRXVuLnf/8g0C+BrWEJ0+QCuB8VhZu//EHUsFp8EkCZ/j9I3BuigYCsBSx33v37qGsrAzdunWDi4uLTBfHzMxM3Lp1CwAnyNQBp6HaEu96zc3xbuYigPPo5gsAJiYmcLCwwF9FRfhk8GCB/To6OgIAPDw80KVLF7FlqK2tRQ3DYPSBAwAAbRsb1FZXQ9/MDI5C1i8F5xy5c+cOXr58iREjRgjkGmMYBi9fvoSNjQ1vlGNZWRkOHDiA9957D/7+/iLLcr+4GDq2tqgFeOV+9eoVrl69KrCeiYkJunTpgvxjxwADAzwvLkahoyMc8W7abW1tbYE8Rebm5nj4+DEMvb3Ryc4OxZWVuPD0KUZ06AAjXV0AgPH9+yguKcHb4mI41Nch/1mXl5fXZH22BhQ/Kc7Ro0dx584djB49Gh07dmz0em1tLbS0tBp9/126fBm1ANKaGM3BxX+bxr2x1a6oaJSjUlbJ9+5h9smTcMK7kSPHwLm+NZ7KpWn5tbW8fIZcdWJio5fgXFud5UjAXol3+SfHQXGPMP6+cSPuV1TAp0GHgTTKwHmEEAC+lmI7gRnoZKgb7tmVCs6om/bgdHS8efMG//3vf+U+b9LB6fSRBbfroR1kaxSSZ9yQ8hIncOSVlOAKgLZ8y5oaw54DzufAT4GTEOSWluKTo0ehy2Zj5/DhuPXiBSxKShBz6BC06keU1YEzalGWhigAEsdPb968AYvFwv3793H27Fl07tyZF+uIY2lpKfK6fSEzE0k5OejRti1vghxJr/Fm9ZNJaWtpoVOnTmCxWGrtnHn9+jWOHeNM2eTo6IizZ8+iW7duvDry9/eHoaEhUl+/hrOZGW45OqIGnHiTO4iCe3/ynG9ZKt8y7lhIPz8/2AuZiKq1UEhD1MqVKzFixAg4Oztj4MCB0K0PRIlkKisrERcXB19fXzg5cVI83r17FzExMQDePZ729OlT5IPzR+OOf7r74gWeg9M7w02oxzAMGIbhJZDkzpfVeBJXQQkFBYiOjkZAQAB8fX0V9O4406CmpaUJNH5lZ2fj8rVrKOF75p6Lm9QxB8B/zpzBk7dv8SHfrHoA5z2mFxYC4NzMpaenI4mvF3/e2bOoqa2FgQyzkzB8/zacCrlSyoTg/KJv34aVoSEGenggKytL7iG/2dnZqKurQwA4N/oW4DyyJqxfLSMjAzt37oS3nNPycunr6aG2pgZ5eXm4f/++wGtZQkY/iMMwDF6XlcHG0BBFRUUoKSmRKcg7Dc65MAycz4i0DVH3HzxAXl4eb4YfaZWVlWH79u28YPMR3g3v5l/HxESSrBainTt3DgBQ1MRF+gk4Ny09Idg4J88Nwd/p6fgrLQ1/paXxlhXwPZZ4qf7f4/X/5rzbFJngBJzG4FyU+W8GDx06BADw9PSUuWeorq4OFXjX+Adw3q+4Txn3pk7SxzPq6upEznh0/soV/HH2LCby9RY+FzIDKFchOPVkAGBE/dTZMTExYLPZuF1WhktPnmCKhwdOnzgBV1dXfPzxx6irq0N8fDwyMzORmZkptiGK37Nnz3D//n14e3sLfU9pfH/Pu/UNnFl41xBVI+R7OqmiAtEHD8LezAys+t78vLIyfFk/Lfez5895j16fA+e86wpOANYeNGUvF8VPinOnfnRGfHx8o4ao8vJyrFy5Eq6urhg/XnD+u6vgjIJu2Kkjjefl5diwYQO0tLTkHml08uFDvIXgiCd5btal/c7nNtLkKmiUF38HkbxOVlSgEMC9nJwm15VETW0tioqKxCa8ZxgGr0pLocWXlkFcQ15TuE366QC61nd8ZWVloUOHDjLvk2EY3JJ5a779KGAf0uKvyQsXLiA1NRVTpkxRWM7as/n5eArBtCBNiav/N6moSO4O+rziYiQ8eQK2kREqystRra2NyIMHkfL0KXobGOAlAIe6OrwA55xwVNIEM1xVVVVYtWqVwLJbycm4DcARnO+dNAD9wYmf9PEurhJ337L8GicBSo2x8Hk2nz9/Dj09PbGPg9XV1WHpL79AR1sb//nPf/DixQs4OjqqtFGquroapXxPCP39N2e++Zs3bwqU82F+PuaePQtjXV1wI6Smk1JwFINzjukC+EwNM65qEoXEgm3btkX//v0xYsQIsFisRq36LBYLhfWNBuSdO69eobq2Fq/v3MGNGzdw48YNjBo1Co8ePRI6YqGwqgqn6//fcBph7pdDXW0tbiYk4Jf6mT2kUVZezrvBUWRD1LYdO5Cdn4+HfO9pzrZtSIFgfhthnrx9CwC4kZ+Pe+CMsLh69SouX74M3Xbv0o5zE3py5eXno6CgAKZy3vQrSsabNzhY//x71b17uHv3Lgw9PJrYSrzy+otVAjg9bQ4QvPHnd+TIEQBoNBpCVgyAV7m5KCkpafSoj0TbMwx27twJAwMD1Pn4YNfduxjv64v0+rxGFTKM2OFeAN6AM/pP2oaoN/Xnmix5MdIfPUJsbKzAkGihj6LKGLxW19XhOTg3Stwv7ab2xe2NrgEn5wm3YTocnPd4584dODk58UZcSoJ/RF1RURHy8/MlfqTgZX0ZtMGZajw5ORlubm4C33VlZWUyN0RlFBbiMARzxDEQPA+4NcZNNPxuRYbvvwzKysoava+ysjIsX74cHTp0QNigQch48wYdrK155f/m7FkUAHh64gQM3d1RWH8+icJ9hLjh+MWDBw9id/3/3z54AG9wOiEOHTqEtLQ0gd7OwsJCvHz5Eu3btxc7yo07GuLly3dzgJWCM2K2XWkp9u7dK3S7p+B0DPji3flcBk4Q9aCkhJOjpaQEZmZmsLO1xYO8PN6oE/78f9xRe9wGykpwhqgTip9klQpO51pncHImta//EYZhGDx48ABVVVV4+PAhGIZBSUkJr1OAe4Mq75QTNQBYcjbe1NTUoFbBNybSd8dxFDW9ikQU+W64nwRF7fPCpUvIePRIbL6mrcnJOJKWhu581yZNunV8XlAAOwXNHKnuhqj4+HgAnJt+WRLs83v8+DGKiopQLEen71sJ8n+WlJQgLi4OXbt2RW1tLf755x/069cP9+/fh7m5OT6OiUFeWRnea9MGWQ0mkDlf37mdwrfs8tu36HTtGhwdHZvM4yaLEr447jk4sZk+OI1PaXzrxePddwD3nlOSGPZlWRnug5Migqu4uBhbtmwB8G5wBcMwWHr5MpxMTVFbW4uiwkLoGxjgSE0N2DU16PD337h9+zY6d+7c5OOAwjAMg+zsbNjZ2Qk8RifOrVu3cPz4cfSo71ATpba2FtefPUN5WRlvhkVp8D93UcN3fioy125zoZCGqLlz52LNmjV477334O3tTT16EmAYBt+c5/Q7DeIL2LkjA/idv3gR5xIS4CRkNoqGp2tJSQle1tTggZAebElcAKDoiUoP5+cjB4AZX3DF/dLNlHAfyW/fIg+chpZtsbFIB+BU3/spDDdZclGxNKksmyZLIwUAlNfUcFrYGQZ309MBAI+ePFFImbgjcMT1D+ZUVyMR70Y4KIK458ibkp+fj8zMTABAQk0NWCwWdt+7B+7ca/IE4rXg1AV/WHbv3j34OTuL7WF7LEfC8ToAx2/fFsjDJuxSsmrVKkyePFni4OL58+d4+PAhTuXl4So4F3Z91OcwkbCOXkDwcY4CcBqBuI1mDScEYBgGlZWV0NPTw7ELF+Bhbw/fDh1QU1cHHTYbVVVVYLFYvEaNt000uHBx1+J+M929exedO3eGO9/3mqyfLwCIrw/w+Kdbz4LgRa4anO+chs2x/Ec9cOAA7qam4qm5OUZ268Zbnl7/uU1OTsbRqiq8qq7G7G7dEFY/EpXbEPq8pgZ4KCrLDKd8zyE4cksU/jOSO/LwyZMnvJFtK1euBACMGjVKos4D/hGe58FpUHoFTuOkMFfq/7UFp3GXBc5j0w0VFhYCDAM7Q0P89NtvsGkwgrWhF6CGKC6Kn2TDHf/MzZF3C+8aoioqKrBx40b4+vqCYRhcuXJF4BGRs2fP4urVqxg5ciT8/PwUUp5aAPvBGfE5XoqE4PyOHTuGpKQklCrh5lMSFRUVEt+wSeP/2bvv8CjK7YHj391seu+NkAaE3nvvSBNBUMBCsSB2uZZruSr+rFiuXhW7gmLhoujVqyJIEaVdQKr0GnoIgfSe+f0xu5vdZDfZJFtSzud58kBmZ3fe7M7OnDnzvuc1vXQtLCyksLCwyh5IznTwyBE8UHsaW0tE/UffY/S306ctPu5Kr/34I+9t28bkOvSmMmVLGvXUqVP8+9//Zvjw4XbZpiX2KBK+ZMkSAAqs9NCxVUlJCW5ublYTBP/97385ePAgf5p0ADh6/Di/XLpEFGq5EYCdNs5ifP7iRVauVCvSVTVhU22ZJpN+q2K92iait6SncxF1ogSDS5cukY153PPXxYts1H+nzp8/T25uLlr9zKUA23buRIcac9UmEbVjxw5++OEHIiMjueOOO2x6zo8/qrfLDDOOWqMoCpevXOGUHY4JpYpCRkYGQUFBfPTRR/j7+zNu3Dj27NljHALYmNklEbVo0SIeeeQRXnjhBXu8XJNQpijk5uaSm5tLejU72cNr15INJOtnhwH1TuBZKnd3NtQH2kTtVCz2XZ3i4mLOnTtHXFwcGo2GotJSUjMzSQ4ONh60DQmS2tzTzcrK4vz582bDmQzDf9IsP8XhvvvuO0JCQmy6W3PhwgV27dpFSEqKcdabU6h3c5s5sI1FRUV4eHhQWlqKRqPhh8JCSjG/SK+L4uJiYyLqL9QeDnWu9qIo7MF6HSFb7adyImrX7t1cOXGCadOmodFoiIwsH4RRVFpKSVlZne5CHEYt9Gka7ljrEbVo0SKbgwvDHSRD4qS62k+2qljMMiM/ny/27GFMy5bsWLOGvXv3ktijB89t3YovEKufGbFtSIgxgWgP58+fN0tE1caxY8fYsGEDeVYu4E3TvT9beY3ioiIuZ2Tg7ePD/tRU9gN7rlxhy8qVTECdYSeO8s/097/+okVyMquOHqVTZKRZl+3qGIa91DbdkIM6DLUVYLiEPn78uE2JKENwv5/yulm2DETNRj2nVDW/SmZWFrsPHOD3wkLIqzi5vLna3SZpnCR+sr+cnBz1ppxJD0DT3sCG/y9fvtxutTkMAzlywFgQfMmSJTz++OM2v4bhQvbEyZoMIrLNWsAfjDd7KkpLS+Odd94hJSXF7ts2TW688sorlJSU8MADD9QoGbVr1y68vb0d2jZrsrOySLt4keBqEuzOVKaPWd7T10X8+sCBap5hG1tuBX355Zfk5+fzrR0mvgH1fPAbakxc1xvhaWlp/PjjjwwZMoQC1B7HBXUY6paXn89LL71Eu3btGDt2LBkZGURERJjFi2a1w/S2XLrEEcpLo9SEo+fpq0uSzzAzskajQaPRkF1YyAd//snwpCQURaGstNRsH9q3bx87d+0ioU0bfkA9Bl19+jSfb9/OGJM6WIahcKZ1g2t7W3Lv3r1cvHjROLGAYZIne1IUxeLnXhsbN27k8IEDtGzZ0jhDenZ2NmfPnuXw4cP07t2bsrKyOg3drc/skogqLS1lxIgR9nipJkOhfDreY1euGIeonUC9iO6KegCLo/yCwfSCapX+34qn5cwse3WmLncxN5dQHx+0Fi7Uv/zyS44fP86IESPo27cvT6xZw/70dO7v1Ysu0dH41/HuriGQzLbQs8n0IJWD7b2r6iKvoMBYtNeWRNS7774LgI9JrZjNlM9U6Cj/98ILTJsyhZ9++smYkILqCzTayvTAbqh30BL1JGML05O4oSuqAhhSrXXJ/xsSnxW/CVlZWcYZ0Gbdey9f/vUXU9q1Y+5XX3H2yhUCUBNqtZFT4d+KilCTGK6aqcWUBrWde1A/swsXLrBw3z42nTzJz4cP0+PIEYqBr7duBcovsAC21rD+lzUl+p+KXZpLS0s5cuQIcXFxFu/Mnz59mlOnTtG7d2/jPmSYpa8uYXhRcTEXTZJzpkeb/+j/7Yv5UOLSsjLyS0qYtHixTbPUXMb8hGtLf0LTY1wp6vd3N+p+uofyRFRN7ah+FTOHUYfkVffp2zoTqPMmxK7/JH5yrYULFzrstS3VVrOFvQdmGI5O57CeiDIk003rxdnLGdTjVS8gWv+epKamVps8z8nJ4fDhw8THx/OdnZIeFdmSiDqnj0NrM5urrWpyI0xRFN577z2r9Qrrwpb3w7Bf26vI+EHUIutnKE9E1fbG4LJly0hPT2fx4sWsQj2XB9Shp/WlS5eIR02EXrx4kbNnz3LdddeZ1Vu09DlYnjLINqatPXHiBIcPH2bo0KG1rpNUsbZlWVkZOZjPTF6dVNSbzsP19aVCw8KYMnUqS3bvZu2JE6w9cYJzZ8+SW6GswePLlnEQ6G24lgPmffcd6ZcusenoUQKrmP2ytp+apZFFNVWEWtuyGZbjrJ07d1aqj1tb+w4cwB04bNKT3pCQOn78OMePq33LHn74YYck413NLomokSNHsnnzZpn1pQZMh6Bkos680pPyng8nUL+Eu0yfY+F16nKws8XWM2d4Zv16esTE8KSFqcsNX5Bt27bRt29f9utP1B/8+Se5xcXEBwZWeo4j/IhzLm5KgF9R6zFZoygKy5YtMzsYnzNJRNkrGVSVMtQTMmBWdM+RLO2fBQUFZsPhzpw5w08//UT37ibhsOG7YIc7IbZ69rffOHj+POtPnOBEmtq3zt4hpiGMKgEMVbTsOXtQbf2C2rMlHTXwC3v3XbZFR3Py3Dm8vLzIQe05F2vynOLiYvLz8izOclkb36J+DwZUuFBbv349J06cIC4ujquvvprMzEzjJAxQXuvI19fXbHY5e7P0GZ1EvRlgGN5aWlLCrkOHSLexfo+13ligzox1HBiB9eDwZ9TkqmmvpIuoF5edLaxvGshfQA0iu2PeU9DgCwvLTNV8HsmqSSKqnMRP9lOCeqEThOuPs3XhirY7si7JFv2/fwBT9P+3JYmyWJ/kb9GiRbXr1lZVZ7RNmzbVq15QBtnZ2aSlOWZMQFXvx/r16ykqKqJQUdiHeQ2guqjtDUBL8kx64xpuKOXYKW4xJAd27txpNRF1CPX6LcguWyyfcdnPz48+ffrU+Pnp6em8//779OnTh7Zt23LlyhXSS0v5HttvHIP63QVYW1DAyIIClmZm8tHHH9M5NpZTqakEBQeTo7/WMK1BZSjDstlkmWFCoKzs7CrLp9T0UystLa3drNSlpcxft44uJjNxHkGNey5jORG1fv36Gm/HmmzUOK4VVd+sLioqkkSUNf/4xz+4/vrr8fX1ZezYsRaL39akIG5TYPoFM+RUV1h53Fa21mqpiW8PHCAzM5M/CgtBn4gqUxTe2bqVVqaFG/UH+tycHK5cuUJ4eDjnzp8nzUlfGmdd2BTof9KAtceP883+/Tw+YADRJkMHL168yH59YfIs1AvYiFreGW1ISlAP3oZSyrt27eK7775j6NChDBgwAIBPP/2UoqIivv/++/LnlZaSk5mJv8k4fnsnWCt+n7YdPEhuQQE4oMuuQSbwPWqhcAN7zh5UF4akm6FXzgX9DEQFBQXG4ZumQ3QNCWcPd/v06TIkY7/9/Xe2/v67cblh2N+pU6d4++23AZgzZ06l4TOmXaLPoPbWcXTy0vB+GN6fc+fPo9ShrpgpQ7W75UDFefCKUU/Uhh5+pglTQ8/Y/2VmMqHC80wvK1fr/10H1LzSgnAkiZ/sZx3qubkf6vckCPvXvLSF6eykxcXFaDQadLr6MU+kadsWLVpEVFQUV111lVMK5JoeLW1JRBl6IB0+coTN1KwHh61MzxsHDhygpKSE9u3bc9GkTo8jnaO8B3hWVhb+/v7Vfham750W+/VMAjW+3QS0QH0/zpw5w9ChQykrK2PtWnUuud9Rz4f7rb9Mjdjz3O1upxjFoAC1V3QC5efmip+P6edhmLmwLjc2S1B7LTdDrc0I5XVva+rXX3+luLiY9evXG5MnpfoZRWtTQdcQM2YAnDtH+sWLFJeUkF/NLJZKLW4012S/uHDhAu+99x59rcwMfvbsWXJzc2lpMsnVgQMH2LNnD17t27M7LY3daWnGHqOmV2ylVI7b7bnPGq7901CPBUVAfyrfkKhLDdX6zC5nRsMU0vPmzWPevHkW17FH4bnGxBE7lCPukGSkpxuHYWUXFrL7wgVKFYUVR4+y4uhR45e2sLCQ0tJS43TlufqxuYU2DtVoiJ5euZKMjAw8ysp4bdw443LTff0n1CAh0MkHkDOovSwSKT+ROdofqEO+zgDz5883Ll+zZo0xEWWpwPmF8+fJLyhw6MxQFd/9QgdPjwvltQFMO+/Wl0RURbZeghTZKfFiYEsAnZaWVmUdl6qKbdbGXmxrV3Fxca1no6qKaS/YTGAZ5slMSy4WFVFSVoabvm6DNdaGjgrXkfjJfgwR0AaTZa5ORL388stoNBoeeeQRi8kXRVFYtWoVzZo5smpkuX2ox5gJqLNxnjx5kquuugpFUdgFOKv/T02GleVhXvjYnkxjA0Ntr8TExDpNxlITa/X/tvvjD06fPs2QIUOqLfvgyKTh/1Avwo8D4fr3Iy4ujiSTWZ4NN2Uc2btfURTOnz9PREREjfYViz1i6hB/n9D/+xe2JaLsIU3/s5/y2eoUReH48eNERUXZ1Ctm1apVZGdnW7zWzKjDENOKr1Zs40322vSmr8kzVq9ebZyYouJraIAPPvgAgNtvv5309HRCQ0NZvHQpl4GIoiKo8BmafvsrJqL+Qi0FUdXImNowTeVlY7n3emNkl0TUk08+2eSmG6yr0jpO8esseSbdKZ9cu5Yjly/j4+5OWWkpmHzm+fn5Dq21UB8Z6lft2L8fTBJRpgyfsrMn3zYUq7c+r6D9GfYUW4vdn0Ttkp2vTwrVZgrUmrqMeodL5+ZmNmWqs9jyrS8tK2Pn+fNmPQ4bq7qkZx01zW1NvjOOPoob5mOprnRxUVkZk5csoWV4OE8MGcLpKmoF2qekbd00zvt6tSPxk2soqENbHVE8oAyMSWrDea2wsNDiBeT+/fvZtEk9Y2fp2+RIhkT3fzC/yD2sn3Ld0Y6hJjpqcvHuyOPFcdSbD6Y1AAsKCrhSWMgqymdidLQTp0+jA9auXVttIso0uWDvI4eltEJBQYHZTGvOsGHDBtavX0+XLl2qnTHNUA7DMFkTmO8z9t5/Dhw4wPHjxzl48CDH7DT7dXV2797N9u3bCQoK4r777qt2fcOEDH4WZgwsrUOs7cxzt+m28vLy0Gq1lWa+fnXNGnaePcsIC+fQy6ilVNqhfrcvARs2beLDPXsIo3z4XfOzZ0krLSVQX0qmDPPvVRnqrM+B+uWGY+iJuv15NSY9oqrw9NNP2+NlmhRnH9Rr6s0tW9h15ozZhdbOU6fIzMwkIjyckydPonN3p6fJ47XtOtrQFTaBYXeOsKH6VeymFPWi3jCqW+uiA7ot3/ofDh3iox07SAgMRIf9Zjq05hvsW6OhJgyfQjpqstZS7wVLF+lpFy8yY8ECxvfo4cDWNRx709PJLixk//HjnMjJoaCkhI4mNepM/WlxqXAViZ8cKwv1giEF86nDT6MOMXLExNh5qAmlBMzvpFtKnptOxPJf/b/OvhOekZHBln37ql/RDgyTohfUpDi3Y5oCqEkoUOuzJhi2pygsOXCAizg+MWhwCrUHe1VKS0tJTU0lMDCQE6glDJxxO83NzQ1FUbiEY74vpg6hft4p+huFO3bsqDYRVVZWZiyHUYzaY8W0f6EjLuA//fRTu79mVQwJ7apKsOTk5PDrr7/StWv5HNamNbMOou5nSS5IRGm12hpf95qu/dZbb1FWVsaDDz5oNsz5fX1pB3d3dzRAJGo8mwEcRd0fdqLuE8XAycOHScW8h2Wq/j0qSEtjr35d0/np9qLulx2B6ucmtg8N5j1rG7P6MWi9CarvPaLeWqGOWjUdb20o1HcyP58yRaGoqIizqHfYewGWL3uahtNZWfi6uxPcCAvJNQY7MR+z76pEsC1bXaevk3QiM5NDDm2NypWDZy+jBv+GShy+gC2Tqf948CBbgS0m9aWasgKTIdCXrlzhSmYmV3wcfckghGvU5MJyBWovjyygD2pgrwUM04fkWXleXfyCetGTi3rxArBnzx5+++03Jk2aRHJyMmVlZZSWllpMtNt/7uOqffzxxw7v3VnR8dRUtq5fz1VXXUV0tPkgl5yiIrx0OlJRLwKtzfRnb4bL87KyMtYeOVLluvZWVf+ww5cu4efhwZ5Nm9i0aROxsbHGiY0cKRP1u7N27Vo0wcH84oRtGmosxVNeE2zPnj1kZWXRr18/i88xPR7sQk0aOCetqipCnVm2eXUr1oKC7SUdfvrpJ/bv32+c2Rsgs6yMH4CBwHb9siv5ta/CmovlXnPVqU1CJR31ZkFXYH9+Pp7AXfn54OHBq5s2MdxkuOiO4mLygBD09asqMHy3z1czEsLQI/6wybJDJo85KxGVjloDtCvmCfLGqNYDW9u3b8+3335r8/rnzp3j3nvv5cUXX6ztJhuVhrI7WRouZXoRvw61x8ZByuszNDU5ZWXM/fFHbnbQ9MIN0e9U3fPC2fu/4yZdrpmqgv2cnByHTg9dH+1HnRbYwNIFWGlpKT+tXWusVQe2D/9sKky/T2f0RTnTLjrrXn7NlVCeCGiKJH6qm9IaBOSGi6YLqLN1/oj6fXFEfTcDQ9Rkemz7+eefycvLY8mSJQC88847PP/8804Zkl6dvLw8p995X79+PampqcZZwQyuFBQw7ZtvmPPDD/yBOiTmVye16VvUmnwFxcVkObBmpSXWSmyn5+Vx+/LlTP/qK+MQzj/POOcM+CNqUvXUpUus+NO5fWnzUC/8LwLLly/n119/NZbDMEhLS+P99983m/beFWe9XfqfqmbGra3tqLMuW4qNDNdiJ06c4MqVK5y8eJGDmNc3+kH/r+kcbyV1vBH771o8pzadLzai3qxcjRovHEf9mz/btYuVe/cyf/Vq47qGGwrVjcuxtVaVcyrEWbcJtYyIacK5vo+kqq1a94i67rrruPnmmwkODuaGG25g8ODBdO3albCwMDQaDfn5+Rw9epTNmzfzn//8h19++YUePXpwxx132LP9DVZj26EOUT9qj7hCKVBSUoJW6nwYndL/2wXLd0IaSiLW3ip+60vKyth46hTtIyJ48tVXyQO8unRxRdNcxjS8tbSvLF23juWZmTRbv57+qO9h4zp61l1D/D6tw3F1vuo7iZ/qpjaFbw19BotQ6yNF2LNBVpShXkz7U3nYleGmg2nvBWdyQz1PewNhLti+gv7isbCQ8+fPGyek2HX+PGfPnuW8nQtA28KYtNRPQ+9Mhl41CRWWn8jIMI5GAPV9c3bq8jLgcemSU7f5F+r+uZfyWmY5OebTbby6dCk/ZWSw/d//JsYJbSpF/ZwM4x62odZGNewtjijSYeiNswd1NlCAzMxMNm7cyJ9//knbtm3ZvVvtx/OLhweXUGshWZ47TuVVVuaQnqDO8K9t2zhx5gyXLl3iUi32yZI6llLZXv0qDpOamspff/1Fp06dCAoKcmFL7KvWiagnn3yS2267jddff50PP/yQl156CY1+xh53d3fjjBOKojBgwAC++uorJk2aZLeGN3S1CaTqs6Z8YVhSUsKxY8ea5AVVdUpQ7/T98MMPXLp0iQuoNSK6Vv20RqsI9S75G2+/TaukJPLi41m0axf+Hh7GE1xEaioZmZlERDjjUsn1TAOifNQ7iy0pr0WxWX9n+jRqV+VLqN2vRbmGevxtqokoiZ/qpq6lDfJwTqHZHMprELmh3tWvWNXuogt7LhoGNvfG+cnsNagX8COB9957j789+ihHMzLIys6ulHBwtqw6DF2qLUPPh8sVlpseHU+i1tZsjfOd1JcMcBZL34qVK1eSlJRkLHT/38xMSlBvakShjs5wZImQVag9btqjfgbOKJ1gYDqg7PXXXzf+35CEArikP2+cQO1N42HltRpqvACw4fRpl44cOOiCbeainj9++EHt37Zu3Tpmz55NXFycC1pjf3WqERUdHc1LL73Es88+y5YtW9i0aRNnz54lPz+fsLAwWrduzeDBg502LW1D0th6RIny6WZzc3PZi2tr79QX51CHX6X/+SdBqMGnQnkA3NSs0v97Ij2dgenpXNEfB7JNpopO09/lMb0L2lQYLtpOA/1Rk06mJynD/a+mOS2CdQ31tkaZojh0iFR9JvFT7dk6ZXh98of+X8MsfX+hJqYGoJ4XnNGjw5Tphe1mynt5OIuhF8lfwCDgwZUrOZOdTXyFWbFc4bvvvnPZxfoR4KM1a2hWXMzIkSMpMEmKGSZ4ccXoA1tqFNmTpfj54sWL7Nmzh06dOqkLTG5iGAbtObIvmyHu2Itryj2cR+1daZpsU1CHcQVZWNeahnz1mWUyuUNT8SPqTf3rKf8efvzxxzz11FOua5Qd2aVYubu7O/3796d///72eLkmobH1iBKqd997D6jZFPCNmSH4Xkn5LBBCTbSAmpAuLSnBzc3ZYV79lol68gXnB8DCeUrLytA18X1f4qeaK6mm4Gx9ZujrYxiQ9yuQjWvutJtyfh8glaHa0aHz5ykuKuJEFbOCOYsG9eLIVdW7Fvz+O2OBxMRE/nLSbIZV0WC9d42jKBX+b+hdf+HCBU6dOoWHh4dLe9M6ejbjii5QHjdON1l+npr37mzIcXhthuM1dIbbLjmU38hoTGTWPBeRRFTjdBkppGyN7PHmFCAtPZ2jqakEBwe7ujn1VsO95BTVkfOgqI3iWiSi3HFdYsFUxdos9aFN9cEZJxXgtsUpXP+5rACuz8lBkdETrEPtXX8NsEk/cyAA7tZKvDc+1vbH2vQNlT2qYSoEjgKxlM8o2RhIIspFGus0jE3dClc3QDQYq4DL+uD78uWKlSFEVbRIMNUY1LXWj2iaajPrU32JuOpPukVY4/o+SOoNmO9XrSKzoMDVTaEMyxOJOMs5/b8ngLYmy+vDjJOusAXoifqZVPe56KicrJKzbsO0FXW0QCgwysVtsSdJRLmI3AkWomlLB2jAQ0yEqCuplShqoyEPzQN49913Xd0E0QB8XVBQqbi9K6x3dQNMFACeNO1kylHUOlFFlE/qYo2lK025+myYMvX/NrbBiZKIchEJwIUQonYkkGocpEeUqI3aJKLq0zHj7IULxv/Xp3a5grNrDzU0W13dgHrkLLBT/39PF7ajPrC1Dq2cYRsn184ral9NdcIal5MeUUIIUTty9GwcJBElaqPQZJbRhmilyf9dP/DKtRTkPRC2STP5v8xKXZmfhWUSKzVO39N4SvxIIspFGssOJIQQjiR3zBsvuSED27dvd3UTGpz8wppfhtanPU0qApYrBpa7uhFCNAJyQd+0NJaRVXbZbyWQqrnGsgMJIYQjyZGy8ZJEFPTo0YM+ffrw+eefN9niuzXV0IfmCSGEvUnPwqaltIHXSjSwSyJKAqmakwBcCCGqJ0fKxkuG5sGiRYsoKyvjpptuIi4ujn/84x+cPn3a1c2q12qz38hxRAjRmDXsAcuipiQRZUICqZqToEgIIaonqYrGS27IwM0338yWLVvYsmULI0eO5JVXXiEpKYlrr72WdevWubp59ZIkMIUQQjRlhSUlrm6CXdglESWBVM1JICWEENWTVEXjJUPUy/Xo0YNPP/2UU6dO8fTTT7Nt2zaGDRtG+/btee+99ygokIEXBqWSwBRCCNGE5TfwSTsM7FrbTAIp20kALoQQoimTHlGVeXh44OPjg4eHB4qikJeXx9y5c2nZsiWbN292dfPqBbmRJ4QQoimTHlFVkECqejJrnhBCiKZMEgrldu/ezZw5c4iNjeWRRx6hV69ebNmyhWPHjrFz505iY2OZM2eOq5tZL8h+I4QQoimTRJQFEkjZTu4ECyGEaMqkZzAsXbqUgQMH0qVLF/7zn/8wb948Tp48yZIlS+jRowcAHTt25Pnnn2ffvn0ubm39IIkoIYQQTVlhI5kcTmePF1m6dClvv/02GzZsIDw8nHnz5jF37lyioqKM6xgCqVGjRtljkw2e9IgSQgjRlEmtH5g2bRpdunTh448/Ztq0aXh4eFhcLyEhgRtvvNHJraufJBElhBCiKStoJD2i7JKIkkCq5qRHlBBCiKZMEgqwfv16+vfvX+16SUlJfPLJJ05oUf0ne40QQoimrLH0iLLL0LxnnnmGdevWMWPGjEpJqJycHNavXw9IIGVKElFCCCGaMukZrA5PzMnJsfiYafwkykkCUwghRFPWWM6DdklEPfXUU+zfv9/iYwcPHmTIkCH22EyN5eTkcP/99xMTE4OXlxedO3fmq6++cklbKpJElBBCiKassQRSdTFkyBCrtZ9cFT/V59gJZL8RQgjRtBXL0LxyVd3VLC4uRqt1yOR81Zo0aRJbt27lxRdfpFWrVnzxxRdMmzaNsrIypk+f7pI2GSgSSAkhhGjCJKFQP+On+hw7gdzIE0II0bSVNJL4qdaJqKysLK5cuWL8/fz586Smppqtk5+fz+LFi82KljvLTz/9xKpVq4wBFKh3Hk+ePMlDDz3E9ddfj5ubm9PbZSBFWoUQQjRlTfUsWJ/jp/oeO4EkMIUQQjRtpaWlrm6CXdQ6EfXPf/6TZ555BgCNRsPEiRMtrqcoCo899lhtN1Nr3377LX5+fkyZMsVs+axZs5g+fTpbtmyhb9++Tm+XEEIIIZpuQqE+x08NIXaSG3lCCCGassYSP9U6ETVy5Ej8/PxQFIWHH36Ye+65h+bNm5ut4+npSYcOHRg0aFCdG1pTe/fupU2bNuh05n9ix44djY9bCqYKCwspLCw0/p6VleWQ9jWWHUgIIYSojbImeh6sz/FTbWMnkPhJCCGEcIbipt4jqk+fPvTp0weA3NxcbrvtNmJiYuzWsLq6dOkSSUlJlZaHhIQYH7fkhRdeYP78+Q5tG8hsQUIIIZq2plrrpz7HT7WNncA58ZOiKOzZu9eh2xBCCCHqs5JGkoiy26x59SWIMqXRaGr82KOPPkpmZqbx59SpUw5pW1O9EyyEEEJA001EmaqP8VNtYidwXvyUdvGiQ15XCCGEaAgaS8/gWveISk1NJTo6Gnd390pFNi2p2O3c0UJDQy3eucvIyADK7+5V5Onpiaenp0PbBhKACyGEaNqa6g2Z+hw/1TZ2AufETxqNhqa51wghhBCqJj9rXmJiIps2baJnz54kJCRUeZcMnF/dvUOHDnz55ZeUlJSY1TrYs2cPAO3bt3dqeyqSRJQQQoimrKkWna7P8VN9j50UReGIS1sghBBCuFZjGZpX60TUxx9/THJysvH/1QVSzjZx4kQ++OADvvnmG66//nrj8sWLFxMTE0OvXr1c2DohhBCiaWuqPaLqc/zUEGKny65ugBCiwdJqNNIZQDR4TX5o3owZM4z/nzlzpj3aYlejR49mxIgRzJ07l6ysLFq0aMGXX37JihUrWLJkCW5ubi5tX1MNwIUQQghouj2D63P8VN9jp/qUtBNCNEAaDTTRc49oPJp8jyhTxcXFFBUV4evrW+mx3NxcPDw8cHd3t8emamT58uU8/vjjPPnkk2RkZNC6dWu+/PJLpk6d6vS2VNRUA3AhhBACGs8dvbqoj/FTfY6dhBBCiKZOElEmbr31VoqKivjyyy8rPXb77bfj7e3Nhx9+aI9N1Yifnx9vvPEGb7zxhtO3XR1JRAkhhGjKpGdw/Yyf6nPsJIQQdSF9KkVj0Fhu5Gnt8SLr1q3j6quvtvjY+PHjWb16tT0206gokogSQgjRhF0pLHR1E1xO4ichREMmiR0hnCsqKorkFi1c3Qy7sEsi6sKFC0RHR1t8LCoqivPnz9tjM42K9IgSQgjRlC07IvOfSfwkhBA14+XpCUBAQICLWyIaIg/9cHd/Pz8Xt6R23Nzc0GjtksJxObv8FUFBQRyxElAeOXIEf39/e2ymUZFElBBCiCZNzoMSPwnRwEgPoAqcOIGAl5cXAJGRkSQnJxMVGWl8LCwsDA8PD7NljZGHh4dN61n7VNoBnezWmoYpLi6O6OhooqKjadWqFUGBga5uUo1E+/jQLiLC1c2wC7skooYMGcILL7xARkaG2fKMjAxefPFFhg4dao/NNC4SgAshKmgc9zeEELaS+EmIBkZmbnSZuLg4kpKS8PTyUmfw1Gho3rw5ERERhAQHk5CQQEBgoHGCB62FXiMNeebN5ORk/CxMbGGJ6d9pSFn00mrphJqMStYvi7JnA+sxLy8vtBoNPj4+uOl0+Pv746nTl8rWaIhxbfNo1aoV0Vot7kB1g+6GxsaSFBzsjGY5nF2KlT/99NP06NGDli1bcv311xMbG8vp06dZtmwZxcXFzJ8/3x6baVRKJRElhBCiCZNaiRI/CSGqFxwURFZWFpGRkZw9d87VzTGjARx9JNdqtQQHB6PRaNDpdAR7eXG5oABQEwyGnlIG8c2bU1RUxOUrV8jOzq7QYOcnotwAe8xxZimxBhAItAQigW3ABWCguzvFRUUEAXOmTmXPoUO0TU5m2bJlAHQD4vTP/Y/+dTQaTaM9L+vc3GiWnIzW5PN312opKi0FRaEjkAnkuqyFEO7tzcDcXNwAQz/pcOAKauLwgH5ZY/qM7JKISklJ4ffff2fevHl88MEHlJaW4ubmxqBBg3jttddISUmxx2Yalca0EwkhhBCi5iR+EqKBcUH87uPrS3h4OGg0uF24QGlZGW5arUNnztJqtU6f2dQH6AJ4AmsM7UDtCRTj788j/frxe2oqsf7+/Ot//wNgdufOfLxzJwuGD+fPc+foEh3NI7/+ipe3N318fDh78CAxwEr967miR5SWuieivL29K7XdkOBqFxpKwqVLeHt7Myg/nyygVUAA6enpgHqeSUlJQVEUrr/+eqKionjjjTeIqdAuZyQVXWlAfDwdIiJ4d/t2ANzd3KC4GAAv4Gqg8vy1zhPj5YVbrnkqzAcYpv//gUrPaPjskogC6NSpE6tXryY/P5/Lly8TEhJSKUMtysm01cKVdECJqxshhGjS5IaMSuKnhm868D/K72KL2vHz86O0pIR8fW+XekmjcXoySqfTGXvyJCUloSgKbUpL2XriBD09PfnejjOQRkZGoigKebm55OTa0D/Eju+HBoivsCwQWHTNNQR4euLh5kZySAinMjONj09s04aJbdoA0CY83Oy58XFxzGzZkvj4eFa+/bZxG86mA4rr+BpxQUEAJIWFkXH5MgAvDRzI6kOHeHbGDM6fPk1UVBSHDx/m7NmzeHl58ccff5i9hkajoXXr1mbL3FB7Ul1QV2i0pWNC3d35e//+AKw+fpzDGRkMT0zk6/37jes4e99wp3y/uLVLF5JLSvjmm29o1aoVmkOHUFATZFrME4QZ9fn4WEN2S0QZnDp1ikuXLpGbm0vLli3t/fKNhhQrF67UcEfIN27yuQjRdEn8JJq62JgYFODQoUOubkq9EBsbS0lJCd3j4jiSkcG09u1JCAricEYGVycns2PHDlq3bs33//pXnbfVHEgFfHx8uKFTJ3Jyc3lr7VpCgoNJu3ixzq9fUynAQaAzEObjY/ZYXGAgzwweTGiF5RUpQLdu3cyWuWK2MUtb9PPzIycnp9rnhgAewJwWLVBiY2keGMjdmZn4+PgwfsgQxg8ZAkCLFmploS5dutClSxfOnDnDH3/8gU817xHAUOAQsMPmv6jhGA7kABPi4ozL/m/IEA5nZNAiJMSYiHJzQdtC0CcAgQn6BGFsbCyBgYEE79vH19u3k5yeTlFOjtn1QUkjyiHYLRG1bNkyHnzwQU6fPm1c1qxZM1599VUmT55sr800GtIfSriSFMUWDUELf396NG9OSmQkC9asIQ+IBupXhQxhEABk1WB9W4LwpkDip9rRUr9iKdO2dEDtHRUDHHVNc6zqC1wCTuPaeigGLZs14+zlywQHBbFk0iQyCwoYf+gQ+a5umDUWLgLtMaSpD2oyIAA4rl/mqy9M3TEykueGDjUOzeoSHa0+p08fs9cICwsjPy+PwMDAKmtJeQBFFZYloyaiAG7q1IkyRSHAz4+OkZFMfvfdOvxltjO92L63Xz9279/P1aNHW1zX8B5UJcrPz/j/wIAA8vLy8Pb2ptCOPcgq8gISUD/Hg/7+ZGZn07t5c7ZkZBAeFkZqaio6d3ciIyOrPQf6+PgwKi8PgGBPT/qlpHCloIAgfe+oqsTGxnLnnXcSEBBQ5Xrx8fHk5ubSMzGRHfoha/Zk2uvHFSYMHcqhXbsYPny4cZmvhwedo9Qy7bM7d+Z/27bhqe9lZ2ivsZeYA3UAglGTwAbB+iLkV7Vvz1Xt2/PVV19x8OBBoHwo5rQOHRzcMuexSyLqp59+YurUqbRr1467776bmJgYzpw5w5IlS5g6dSo//PADo60cSJoqRYbmCRdydM8bV594ROOgAZ7WX4gnBgby6dq1TB48mLnffefSdgnLRgI/gs0XkJf1wwuaMomfai8edV8rA9KctM3mqPVrfIAzQDrmFxEGHYD2qBcyrk5EDQX+ovyiKkH/k+nrS25uLr76f52hOWrCJhz1pkIWcFXXriw+oFY/CfD0JMDTk+7A70BrHF8XxXBxF+DhQVZREX6+vrYNSbOzRP3PnybLbujQgf+dOcPVKSlV1jby8PCgqKiI8e3bcyE/n3GtWnHnZ59ZXb/izci2qIkTKI8PtRoNN3TsaLZeaGgo2VlZhISEkJeXR05ODolhYRxNs883MMHk/1FRUWbJg5p4buhQNqSmMqVdO+OyyKgoUBQuXHBsesFdp6NriVr84pXbb2fbqVN0jo3ljh9/BNR6V2g0ZiVaLBUzj4+Pp0dcHJoKw+uCvLx4deRIvHXVX8KHVxiqaImHhwczZ84E4NE//8Teg768AH8go7oV7SA8PJzsrCzCw8M5feYM3t7e9OnZk5EDBlh9zsQ2bXA7fNjYG2wi6jllowPbGQMUAGGUz2hozdixY3F3d6dHjx5MyskhLz+fxGbNHNg657JLIuq5555j5MiR/Pjjj2YV/R966CFGjx7Ns88+K4FUBb+uWVP9SqJeC6HmB9b6UgjQ0YmoJNRAJx5Y4eBticYrxsPD+P/eHTvSu2NHzmVnExcXx6lTp1zYMtfTublRUlqKj48Pefo7pq7mAYwHzlN+N/ES6kWwJQ15Gm17kfip5pKAY6hTkBsunkuAy8AqB21zNGpCqT3qhRWoPUhOU56Iqnhu16BOjT5I386TqD1dglF7nnhje9K2LqKAfRaWx8bG4pGfj5ubG8cdmHiJR40HjqMmPEL0y2+44QYKCwtp07YtYcHBtAkLMz6nS1gYkenpBPv7c6DirGd2NgG1Z5hXx45sO3sWbx8fjhypWbUve8Z2rYBjOh0jWrZkavv2TG3fvtrnvDJlCuuOHeOePn3wNTlvWuMHxoTDMNQLYjfUYUx3DRtWaX1/IBvwcHcnITERgH/feCN/paVxcP9+Xq9jIsoT6Il6gW4PHSMj6RgZWfkBjcbhs+YFBgYyplcv4uLiiPTzY2ybNmY1rdzd3CguK0Or1eLv749SVkbn/HwoKyMK9X0GGNWrF4OSk3m1QiIKoFVoqN3a28wkqWHP0RJRqLFACuqMfgCrcexNAz8/P2OPohbJyWg0Gjzcqh90FxcXx44dairKkBix97VaC9Resi2B7vplhj2xnUnCtCJ/f3+uvfZaO7em/rBLImrnzp189dVXlaaV1Gg03HnnnUyfPt0em2lU6kMyQlRmazDhDQwGljvo9R3N0UPzPFDvCNuyXsXu4U1ZEOqFe1M3DrW3QU/9sARTblot3t7eRISHu6RuRX3RLC6OnJwcAgICOHbsmKubY6QDDGFtM/1PLnDCVQ2q5yR+qrleqFOPu5ss06H2srEnd9SkSQRq8qh7hce9UC8uDFJQky1xFdaL1f/bXv9TjNobKAL4wb5NNuoG7AH6VbWSRoOXtzfFxY7rvzyN8rinG+o53yAhIUEtwg0MTkgwe94NN9zA1q1bad+hAx+89x4AoajnR3v3uJ45dSolJSX8cPkyvlk1GVxcrqapjTaoydRQ4Kx+WYcOHdizZw8P3HYbz0ZE2HQBbTCqRQtGtWhR7XpdUc+tA1HrAYWh3jQwiADiLAzl6gVcBHonJLA2Q70FG+nnR6SfH57nztEe9buy3uYWm7sa8++zIzzQuzdf7d3LNZ6efL1nD1E4pteLotHQo0cPs2Xe7uV/nZdOR3GRGvlG64cX6o4eNSbhDCmmwc2bmyUV7X3jZu7cuRw+fJhevXoZlw12d2dFaaldhjwPBK6g/j2Glg8CTgGb7fD6lpi+Q4ZaYO42fI86deqERqMhLi6Ot956C7D/tVoX1JsXwVQ+Xlx99dV23lrDYZdElJubG0VFli8ni4uLKwVYon4kIxoDuyd2bJwxog3ld0Vr9PK1eI4jOLod3jau1x61O3IM8LPjmuMy4ajBmydgS0WCBNSu+UHArw5rVf0XoP9xt3Du0OqDsaDgYC5lZFBaWtdJkRumdlFRHM7IoFdMTL1JRBmGh4AaFxg+G6vHG+kRJfFTLWgwv2ht2bIlhw8fttvrG4aD9cB8qJA1Xbt25c8//2Rwx4747d5d7QW1O+oFiaWZawNQA3MNdbspkYDas6aqb5hWq4XSUofFA+4m29dgnoSCqi+sg4KCGDFiBEVFRcbkXTvUnl3xwC81bEtVw+2aN2+Ot7c367durfSYh7s7RcXFeHp4UKj/nrbQaDisKMYeDmB5aFVVuqAW4S4CtqL28hsyZAiTJk2qwavYxjBENB51nzDMmdazBq8Rof8ZFhNDQHg43WPK+y5pNBo6Wn1m1TSoQ6EcnYQCGJqYyNDERH766Sd665fVNRFlqFOnAQKDgsjNzSXUpGefQZiPD/f36oWfhwelisILf/zB9Pbt+WLvXgCCXXAujIiIICLCfGBYjFbLFOC/lNePq+m+baBDTXSackfd1/c4ajiw/n1002joGRtLgKenMWasilarpXPnzmbL7F1AR0N5krHSY004FrJLIqpHjx4sWLCAMWPG4O1dfglaWFjIK6+8YpZtFSpDqqO+FdusirO6kdeEF65pU8VDhiHhkEh5kcn6zFGHvP6oXXGTTJYZuueOQL1D2xpYp38sSP+4qzmip5o7MATIRA3Af0C9M65ER5OZmUnv0FB2nTpFgn7b51AvTgwHZV8fH3Lz8myeWaUx6dGjB1u3bmWIfjYYU7YEFU3B/MGD+d+ZM3SLjuazdetc3RwA7rrrLnbv3k1aWhr9+vXjXX2B24CAALDQ0yCiBnf8GyuJn2ovOTmZa665hu3btxsTUf1Qh+hdpnxSg/j4eAoKCkhLS0Ox4UZTF9QhZLbebBo3bhyjRo3izz//xGP3bpvbb5piHIVaqLoD6rApgG+o+gZGb9Rzy0YqJ7XcMD/Pd0Q9D7cAxo8fT15eHqmXLkFensMSwtUlJ2y5+KqY5OhK7S6KIyMj8cnOttiL1tCOGzp25NClSwxPSuLt0lK1lqtGQ2ZmJoEBAZQdP84FypNIOsoTUe7UvHe3BvUmVf9a/D226IPa+6kt1X8WCQkJnDhxotrXdHdz49YqCiUPQd2PfQBbUsMeQFx4OBed2LvZdL8LQ63z1gx1mG1NxaLuk57AkZgYckpK6BBlOaodllQeGS+dPBkfd3eGJiZyuaCA41u38r///c94rFIUxabZ7uxNq9XihjoU+WvDMmr3navKR9Om8dCKFXhpNOSfOmV877uhzpRoS8TbDrVXYRvK66oZE98aDY9VURfKFva4JjDtvanF/GadKUlE1dH8+fMZNmwYSUlJTJkyhaioKM6dO8fy5cu5dOkSa6QeUiWGHbwh7XoDgJWubgRq8BWIuvP+5qI2hFT4PQE1APag6kSUo/pudEINMktw3dCu3qi1MpqDWd2aIah/tw61aCqoNQkyqR9JKHDMWPD2wJxbbuHQoUP06dOH5CVL6NCmDS+dOoWfvz8DYmKINKlzlFLhNZo3a0ZeQQElpaVNLhE1evRohg0bhqenZ6XH3ExO2Doc952qjzQaDX5+fni4u+Pv6cmwpCSK6lGPsICAAPr3Vy+rTC/4k5KT2bNrl1lxVn9ggFdt+pU2LhI/1dykSZPYtGkT48aNw89kVixQe33Eo94YOoe+uLinJ56enpSUlHDpUvVnSA3Wk1BBQUFcuXLFfH2NBg8PD5o3Ly9b3qdPH7KysujQoQNfffUVAwYM4Pfffzd7nhaYjHr+8URNHJjqinpRHwtUTG9FU37DxzSOHIV6c7NicB8GXIsao3Tt2hWAj/7zn0p/XyuNhkuKQkdgbaVHy1maITMetQ5WJ9T33a/ik2rBUo9AN9S//QpqLHgcNfGRZ/K44aiYnJREmaLgptMRFBxcKRHlR/lFYICnJ/+86ioAAr282H/xIgPj43lw1Sr6x8WRf/w4CqDTaCirkNCsj/0WDcXPqzN+/HiSkpJ44403gKovii09ZrosWv+Tg5qIMtyktUYB7rzzThYsWEB+vnNuK7ubDJMbihqLailPRBl6sAfqH7NkKOrf153yEQAvDB3K76dPc3VKxWiuMh99GwzDG1uMGEFiYiKJiYl46IfjVXyvnZGsMHzfTPdnR2y1S2wsv95yCydOnGDR4sVcRo0J3FGP24aI13BMsaQF6rEmD5MC/yY9ompr/PjxrFu3Dl1BAdRy2HI/1F61/d3dySouRgvcMmsWERERvPTSS5XWb8o9n+2SiOrfvz8rV67k73//O2+//TaKoqDVaunVqxdffvklffv2tcdmGhVDOF5dprkvjq3cb6tRWO9S6ExDUE9yjmKtZ4y/nx/ZOTmMRw2+DLUoYlG7PBtm0nHVJWE7/Y+rhnPFY94LyvSgqqHygSYS87oEjUkk5V3emzVrZiwEOfe22wBIzs7mxJUr9IyJYbu3N/Hx8caeI/379+ePP/4gNjaW8BYt+PnIEfxR72o6kw41QA9BvePkDJ6enujc3PDw9ESj0VhMQoF5j6je7u7sLy2lFVC5nKfzaDQam3pa1FYQ6kVXZ0XhoalTCTRJ4Li6h1gH1J6O8RWWmwbNbjod4WFhXDApaNsDCLRh1p/GTuKnmuvQoQMdTHplWLpACwem6P+/S//vM6NH883u3dzSsyc3fPhhpecMxvqwch8fHwYOHEh7/XTap09X7j8RExPDrFmzCAwMJDAw0Lj873//O56enpUSUVB5uJopQyIhVf97QEAAWfqehW4mZQQ6AtuBAbGxhJ6xfraoeEQN9fYmPS/POGTkEtBFq8WttLTa3j0DUC8Q4ygfVn9n586EhIXh6+XFTz/9RMeOHdm5c6fV17C1R5QlhqFVCupNH3fKa3Ya4mqdToebTkfFfpedUHvBtEBN0FnaRv/mzemvTyx+ee21+Lq788zq1ZUuysNQ37dY6j67n70vRqdMmcK2bdsICwtjq4VhhwZdu3a1ecILW9voh5pkdQe+tGF9Z/YI6du3Lxs2bADUWMdwbdMP8EX9nhxHvVFqLaaOovKN1Bh/f27q1KlWbdLpdLRu3br6FR3MUqmDmuyVPqjJOX/UnqgnT56kTZs2jBkzhq1bt7J+feUqYhrMb+7HoNZN0wEfzZ7N8I8/Nlv/atREoaGCqA9qryg3ygvw6+rwXeratStdunShx5Ej3P3NN1zdqhX/3rPHbJ0JQMU0fhBqnAYwtE0bFgwdilar5c033wTUoZBeVm6+SY8oOxg0aBCbNm0iLy+Py5cvExwc7JJuhQ2F6dC8qnihJl+qujPlDPa4s2UPFb+q/k4athQZGUl2Tg7+qAdYg4GoScWmPsDE8LnExMSQnp7O5MmTWbRokVntDmtdUhsTD9SinlWJ9vcn2l/di3r2VFNWd999NydOnKBLly7069cPDw8PShSF9hERam2BwkLctFqOHXfOwE83YIz+/45ORLVHrfsxyt+fAyEhZjMnWWybSYARqNEwHPsWrq0NRyahQO1BmIGa5OxmUpsD6nbnry68vLwoKCggGnUWGMtpQ9V1KSn8eeYM7SifQa+Mpn0X0JTET3VjLYh3x3zIWofISIZPnEh2YSHRUVEUFReb9ZCqasauwMBA4zDJW265hZ9//pn//e9/ldYz7RVlYC2pbivD0cXX1xfvsjIu5OQwtkMHZgwciLu7OxqNhg179jCgc2deefllm1/3b3368PbWrYxLSmLFsWOUAl5aLcU21I3yQ02AdejQgdYlJfTt3ZuOJn97586d2b9/f5WJKFtUd4zw9/NDk5ODn58fHXJy0ALH3NzUhJiFyS5AvWlnqrqLQL8Ks9CZrj8CNel10MLzanqDwt4Xo23btqVt27b89lv1Ywc8TP5GSxfLPXr04Ny5c7SwUBDdWrsNr2joFdUTtfdKBFCxn6czL8R9fHy44447UBSF9/SF8MH8ZkpH1HNUMOowX1s4Og5wxnvUtm1btm7dSlhwMFxW/3JvyhM81QmifLKS66+/ngMHDtC2bVs8PT0JtXGmvxao8UQ46mx2FTtk+FH5mrSL/t//6d+jCCvffVtpNBoGtGzJxnnz8NRqSduzx1hSJInyJJipoag9VzXA+FGjCAwMJCOjfG51w7HMUG4jJiaGs2fPGrfXVNn9dqSPj48EUDVQH8PwEc2aser0aZpTPh6/bmGU/VQ8+MTHx1N49ixeXl6cPXfO4nNqxEKx8gALM4gYV8c8CaVFPRAXotYLcEYPqaTqV3E4w4Hk1ltvpbS0FJ1Ox0MPPYS3tzfHjx/n7Nmz6HQ6fvnFeonR4cBe1L+npr0A/f39ybYwxbOzZykcT+2+K6GhocaTtCEI9AAGxsdzOiurzhcyNWV6SgwNDeXSpUuEhoRwyeSkWpVk1KnOTZkmIUx11D8W5+HBU9dea+yybo1p4mX4iBH877//ZfSIESyrYt+qr6rqdq7RaAhUFHyAHh07snv3buOwt4rrOYvp9yk2NpajR49WOYxp4MCBZGVl0TEpifmXLvHT2bOSiKqCxE/2Z/rt8NL3wNNqNPjrz+uGRFR9vgxQgNiYGHx9fVk0bRpbDh1iVOfOuJnUWLtK33Nu0KBBNiUeQL0p8uzQoeTn5/ML6nm8qovpAGC0/iLq0YcfpqyszGqyx82G+m/2OHZNnjyZw4cP061bN3L+9S8ATmo0Zj3SAKL9/DiXk2Pxc67pcci03YYe35bO0MFBQZSWleHn50dWZibZ+pumLS2sW/F17cmWCT10Oh1333238f8VjRkzptIyWxlqZYZQ/j0zxGwhwcGA8y/EIyOr75OvBa6ivEdXc9SEWqzJOsHBwVzWJ2xs2efruxEjRhAdHU1ycjJn//lPFGCDDc+7CrVemmn1MG9vb7p06WL83XRovkFQUFClZVrMk4LDW7Qg/MgR9lC5hEVFzwwezHcHDzK3wqyFteXr4UFZWVmVNylAjf29KB8NYek7ZNjHb7vtNo4fP45Op+Prr7+utF5TU+tEVGpqavUrmbB0l6gpO6//17R/iBflWWfTg5uzLqS9UHsWzO3fn+llZaz497/NkizNmzdnUGoq2ahTcdt2SVp7wUFB5OTmEhoSwvkLF+hE5USU4uZGWHg4RYW2zElWOzo3N5uLeWpQD8hlqN02HZ2Iiqf6HjiO1AI14dBG/7tGozEegA0XVElJSSQlJVFaWopGoyEpKYmFCxdWeq124eFEXLyIR2QkGy9cqFE7QkJC0Gq1ZGaaj+j30enILbE0N5GqB2qPnxbAlhptsbKROCZh66ihV4b6B80pH/ph4OfubhwbHxoSQkBAADqdzpiIqi7B1wu1KP2PJss6oQZwh1GTjaspT2AYjjMV7zxbYtojKj4ujhGPP06pokADTET1QZ2ZJl3/e3hYGLorVyj098fHx4cBZ86gQS2G3KtXL6KsFEH19/enqKgIDVCgPxa2SkrikL1n0zNJ1Lu5ueHl5YWmQD1rWZrtybTYvKIoZheBZdTt4qYhk/jJviwF/QZuwD09e1JcWmo2pLWi6lIRrrxj7eXmhq++Flaovz9junWzuu7gwYPJz8+32FvLGrPEiv7/7qg9G8pQLy73ox7Dn/nb32rcfkcKCAhg+PDhZstMP6khCQlcysvjkf79+e7AAXYeOlTpNWr62VpavzlqXByHOkwS1OnjI8PVQg6+Pj6El5QQcPw4bWvwuvZgKQGQnJzMmTNnSDIpoG1rj5Wq+OpnQ0tOTuboUfV21IA+fdi0aROxsbGc0Q8djYmIINPXl/7JyUD1tadcRYMazxxFHXLmifn+5eHhwW36sgtVHYcaCnd3d7p06UJZWRmGWyIRlMco/kA2ao+gJNRh+aAmGaubhdFSkjsoKIgbbrgBHx8fPvjgA4vPmzp1KkeefdY4HDcpKQmtVkvXrl3597//zbBhw1i9ejUAnSIj6RYba/F1asuwHwahDr0z1F1rgTosdyTqecZ06HRV+3NAQACdOnVi//79dm1nQ1Xrb01CQkKNDhJNdYpta85qtVBWZpaoGI56IosBToSHU5CfDwUFtGjRgrNaLYcsnEDryk2rpVR/khqrX+bt7k58RASrTNYbOHAg3bp1I/Wf/wTUBEsGapfNMNQvZ+X+KHXj4eFBon5q0fMXLlgsbB3p68vlAls7jVbP0h59e5cuHCgoIPjIkUqPhYWFkZ6ezsSJE9mwYQM9evTgxx9/RItzEohemLfZ1i+0PdrWBTXZ0NXG7bq5uVWaAWrUqFH873//o3fv3nTp0oXs7Gy+X78eapiIAssH/pYREfx18SLe3t7GE4TZ4/ofBXWfDqF2BfmnUD79cGRkJO3atSMuLq4Wr1SZoxJRI1C7nGspT0T1R73guDEhgS5JSXh5eZGo0bBs3z4mtm7NS/phlpYSURFAmsnvgcAg1AkFDInKMGBEly60bdsW388/xxNo3749e/futdjbxxLT90On1aLVai0G2vZkOvNJbfVBfW+7oA619kF97weiDlMIAN6bPp1AT08W7dxJj8BA1urvlul0OmJirN+Ti46OBkUh1aT4/aeTJ9N7wYI6ttpcxaEmoaGhaM6coUuXLmY1eyypeLc4ODS0ySZYJH6yr27durF7925atWplsQbJSP3FroGPuzvtwsPRAHmHDnGa8intK+rQoQN79uxhQIUZmBw9DAfUc8mFCxeY2KsXu3x8aGljosBS20wvkiqyti8ONPl/bWZ2s/d7ZDoJioGltreJjDReOM/rU14C/uZOnTj+3XeV1rdHIsoDNYaH8kSUWe96jQaduzt9unWjV2goK1dWjjScmYjy8vLiwQcftEuvVNN233777Rw5coSwsDBjImrw4MF00tdOMtTD/OdVV7E2NZXJbdtWeo36Jln/07dvXzZurNxfv6pzsz05tfezybbaoybgYlETUYZyJCWoBd7DTZ7n5uZGaWmpxd5h1o4HloZ7mqr4WjfeeKOxfU888QRubm6UlJSg0+kcmgwciTq01DBGpmLi7Z577uG5554Dyodj+/uXF3Op+Hc44xzSENT6E/v444/r9YGjvrP03rlRPsWqNigId+DGFi3QRkSwfuNGIsLDKbx4kUzUuy6nKr1CzXl4eJCvT+QYenNoNJpK7evWrZvZuPHWqL2Twikv7mlLQcKasPYV7devn7HQ4IN9+/Lxjh30DgvjjpPWBrnUTlJSEkVFRbSMj+emmBieq3ACmjp1KklJSWRmZhIWFkbHjuqnd/nyZU6fPk3Ls2f5q6TEWATUEUw/pdatW9O7WTMe/PVXpnTsyOdVTCNd18OfO+XJhdocRB544AHOnz9Py5Yt6d27t3F5SEhIrRMvXhae1ycsjAm9e9MlKoopCxdSjDrt8nHUwMJAA7Sq1VZVpoPJevbsaZyVyB4clYjyQK05ZNqzcXibNvTJyuL68eONJ9BOisKIpCRCfXz44I8/KCgowNvDg0sVZo5qg/o+mN7tjUUtWGrazykuLo4WLVpwzfDhBAQE0L59e0aMGFHlEFhTpu9GoP5kb486SaYzLVVU2zSXoegmqJMsGO6kXUv598aL8npcSfphCn/r25fTp0/XrDZghfcg2Nta2eXKTGecqnITFX739fVl7pw5tLJhmEOnTp3UejH6O+Ltm2gSCiR+sjcPDw/mzJkDYDERVZFGo+GFYcMAeHLDBjJQk+QGAwcONL7OxIkTGTFihNkFRV2lpKRw8OBBs1jGkuuuu47MzEyaN2/OyFoO+7n33ntJTU0lMzOTtWstH1Es9YiyhzAL9f7Cw8OZMmWK2cxlturfvz8ajYaIiAg+++wzwLy906ZNY8+ePdw9ahTLDhxghElvH0cz1MxLSEjALTWV0rIypnfqxC9nzjCpdWuCvb3Zce4cdw4ciIebG+vWratUM9NRxwRLn4OiKHYbSta2bVtWrFhBbGwsAQEBdO3a1azXp7u7O5GRkaSnpxuXNQ8M5FY7xkn21LJlS9zd3dm3b59x2Zw5cyxOUNAUjuM6yuN9KO/BrgNGV1jXy8uLu+66q0aJKIN27drx119/GW/wmzIkuKDCRCj67QwePLj6P6SWNBqNsddVxSjV3d2dYv3oAUNJEtN2ubu78+CDD1q8rvawYQRAU1DrRNTMmTPt2AwB5kH+q6NGUVhSgq+HB9v0xcyCgoPpcPEiGagXTPZIRAUGBuLt46OO89ffTffz86v0hdHpdOZffirPktQb2Ix6IbrPZL3a3ssd36wZR4BzOTkEoRYNnDlzJjExMWzYsAE//bSnjw4YwFE7J6EAs+x6xfcjJSWFFP0UrRVP8iNGjADg3EsvEVRSQhTwjf6xIMpnVbAH03tZ119/PQCDunXD09OzykRUOOqQoNp+PldX+N3d3Z0ZM2bY/PyAgACriYfanNZfGDCAV1auNA55TUJNsLT192ekvqfGOP2yGLDaNb6uJk+eTNu29n11eyaimqPWLzPtuGwaLnTq2JG2FWZu0Wg0RPv7U1xaatzXPTQayjQa/P38jL1wglB7QBkMGjSIzZs3071DB7Zt22ZcbghG+vXrZ1xmaxLK0J5H+vUjt6iI8DoWpDQViPXhxkmodaxysH1myhDg/l69eHhL5UGftgzhNA3aHB3s2hwIWGiHn4+PTe1zd3fnlltuYe8zz5ALjDXpqdDUSPzkeoZ9dvp11/HLL7+YDes2TTppNBqLSajWrVuzdetWqzWSLOnTpw+nTp1i8uTJFBUV4e3tXWUiysPDg8TERKuPW2N67AgODiY4OJg//rA+r6jp99dSDxnDkKqaXuxFR0czefJkgoKCKCgo4Pfff2fcuHEWEyNVmT59OocPH6ZHjx7odDry8/Mttr1Vq1a0aqXeUrqje3ebX7+mx9cSC8P927VrR+/evQkODmZoZiYHz51jeLt23FpSYqxNdo3JufXGG2/k22+/pX///vzwww+1aoetOnfuTG5uLgkJCXysn4HMnr0x/P39+fvf/241uWj4u6pKfNWnhM6oUaPw8/MzS0RZKzxvzwR1dVzVI6qmz/O2chOsusTLNddcQ7du3WjWrBmfffaZ1VIErtC/f3/j8D9DT1Wo3NvQUo1Ha+eI5ORkOnfubFO9ssbMrn3YMjMz2bx5M+np6YwZM4Zg/d1dUZmlL7npxYlOq0Wn/9LGmhzoPFHvrF+0X0OMQcG0adPIyckhPDycggrD3by8vNBoNBa7RhskoV7geqJehGmBbdh2p92SSC8vHh4xAkVRSE9PJyMjg/h4Nf312GOPmQVMir2G5lj4XHRabaXPa+jQodW+VGhQEMXn1dRIJOowqB5gNuSxriK9vLj1xhvx8yuvnlVxxhNLw4q8UacfdQcMpfIMY7+rEwjMmj6dL774AlATcXPmzLFbl1htDe7SBaH2zIsPDDTrtdIbtdeXaU8Zb8wTMPYWExND27Zt7R4s2DMRpaPyEAvTvaWqbbm7udErNpb84mJyioooqhCUdWjblmMmgdvgwYMZOHCgWRIK7BMA96/Qm8Ye77mlvbeXfnkscPvs2Xz88ce0QR1iZ+munak4YNyIESzcsgUF6wW97anie+uLmnCuSh+gLoO+vWvQs0Gj0XBVr17k5eXV+GK0sZP4yTXatGlDmzZtKC4u5vTp0/j4+BAWFsaxY8fM6udUlJSUxG233Vajz2nkyJHG/1c8X/bo0YPdu3czePBg46QetT2uWZrcoqrXMn2sb9++rFmzhoSEBE6cOAHA1VdfTVlZWa0umNq1K5+jLrnCEElbtWzZkpYty0t8W+oR4UzBwcFmsy2CmsAzHNPiQkKIC1EnpPeyEhfFxcVx7733Wpxkxd60Wq3Dh5ZW3Ofi4uJISUkxqztluOGk0WgqfW71KREFldtT8f2aNm0aW7ZsYezYsTRl1113HTqdzng9UNXn2K5dOw4ePGi1bIVOpzMm3mfPnm32WH3aP0z33bp8jzQaDRMmTLBHkxo0uyWi/u///o8XX3yR/Px8NBoNW7duJTg4mGHDhjFixAj+/ve/22tTjYKlL5W3lento/39eW7oULV2iL5OVBjqEKMAoPqO6LYx3Emq2L7u3bsbkz4PPvggAM8880yl5ycmJnJcP7284TKxLm27pC+6q9FoCA8PJzy8fCRyxTsvYcHBJKEOoTmH2uujrsa3asWhS5foHhNj9n7cdNNNROhrV1Vl8uTJrFixgt69e6MsWWIcVz0cNSnyQx3aNis2lh1nzjC5WzdirRTm06K+HyNQe6i1AtahFsiPofL0o7YeThUwCwpTUlLsOi67e7duuO/eTYC/f7WztI2mvAfVkM6dObB+vToLx/nzaHDuyevWW291yPYsJYe0qMmREtT9vaKIiAiUsjIuVpEoMfAEhulfs7qk1xMD1aoh80wKg49NTOTs2bNMGjOGY61bs3z58vJ2WkjiOqouUHzz5pSUlJCdk2O1ForBFNTk7HbUnqU+WO6J54GaUAKMwVM74LRWy/Xdu/P2ihWVnjMIOAO01Wpxc3Pj63nzAHjttddq9PfExMQQHBxcafanqlQMioYCB1C71e9C3V/OmDzeAnW4YG0SUXO6daOwpISQGgwBBLjqqqtqsbXGTeIn13N3dzfrfXTddddV+xx71IYxJLSHDBnC6NGjyc3NrXMiql+/fpw+fdqsbputiahWrVrRsWNHvLy8ePHFFwG1J4Ol2a1cxcvLi379+lU5a58jzJkzh8uXL7N3716LiajacGbPV1CLQ1+5csXuPbcr0mg0TJ061WyZm5sbjz76KFD5/bL0t9dm+KYjmX5Wpr3vmrI2bdqY/V7V90Cr1TJ58mRHN8lhmjdvTmpqKp06deKsfqSSt7c3ubnV3e4TVbHL1ePChQuZP38+d955J6NHjzbLEI8bN47ly5dLIGWFF/DI6NF4FhVRfPo0Bw8etLhexwp3ojTYZ3hRxd4zxtc3LVTXvr3F5Qb3338/GRkZFBYWGhNR9pBRg5nwgoKCjDMqLKvDNk3/ututzExj6x240NBQbrjhBuPrGp5VfQqrevNuvplTp06RkJBgdZ0lkyax/+BBPMrKCNLPzjAetYdEiIX1c2zctqPL6/n4+BgvCKpLRBk+L41Gw8wePfD18aFvXBzH//yTvXv3mtWfsta1urY6ArtRkziG13cES6/qptUyQN8L8AuT5Z2BnTV8LVB77IHtf4Npwuq1m29WZ0Sz8ty2bdvy008/ERERwaRJk8wSyvbk6eWFJ1BaUmJMRHXG8vvhrv8ZgJqQ0qImaSuyVBrYA5ji4cG9vXoZE1EhlA/ri9X/GHrjGbruV1Us2BI3NzfuvvvuGu1XMRERnDh9mlh9Lw1/1F6YAIaBkKb7S3Wz3FRk2pJxEoTbhcRP9tWvXz927NhBly5dqhz2Vl/MnTuX4uJiY48S04vv2t7g8fb2rtHwz4pD8wIDA82GnJj2uK4vKs6U5wxRUVFERUVRUFDAvn37zEYI1Pb87+xE1Jw5c7hw4YLLJoqwNjzL9G8fNmwY586dq7aItaOUlZVV2yPKFepTryDAOEIFoEuXLuzYscNhtZpuuOEGvvrqK5fOtHvzzTdTWFhonPkR1GHDP/zwg7Eki6g5uySi3nrrLebNm8eCBQsqze7SsmVLDutnWhLlfHx8yMzMRKPRML2nejlw9OhRDh48WKuaADWVkJBAaUmJTScFS6KiojivH3YWGBhIYGAgiqLg7+9vt67G/jW8G/L4449TVFTE0pdftsv26zMPD49qu7l369CBbh068J///Me4zBPb6tNUxXA69vT0pLCw0O53hWpzstVoNHjpdNykn5klefhwhg0bZvZad955J7t27eLKlSvs3bu3zu0MAabX+VWqZ/o3NI+LIyMjg/DQUNAXAx0E/IE6jCyBqhNRNdlWVSr2nKrqeb6+vjz22GOV6sw5ytWxsfyclkYyas+/nfrloaizv1S8f27pKHMtas/BiqP9DTP0GXpHDUUdcltG5fpSFQPXWbNmsXPnTgIDA/n++++Ny2+88UY2bdpkcdY5W++yd42K4s/z51l8/fVsPXmSvlWcQ8JQp2I2vQyx+VOpZ4FwYyDxk30N1x/7N23a5Oqm2ESr1ZoNa/L09GTSpEloNBq7FrO1tUeUIRGm1Wp55JFHgMYxLb09derUCV9fX2JiYnj99dcpLS2tddLEtEeXM3oAeXl5mSUQ6gvTc52tM+g6irVZSl2VjIqJieHs2bO0rlC/05W8vLyYMmWK8ffx48czcOBAh/WcTEhI4JFHHnFpMs7Nza1SDaiYmBjjRBmiduxydjl27BijRo2y+Ji/vz9XKsyuJCA8LAx3d3fiTOpkJCcnc99999WocC9Ynkq9Oh4eHlBFkGP6Zbd08LUUmGg0GsaMGcPSpUtr2BrLanrQNxQXDwMuoPZcqDzQsRo2HORcdTKqzecM9p+ZwXCKvu+++7hy5Yo6dbwd1eY0Y+nkVHFZWFiY8QLFkIhKTk7m6NGjdO/evVIto+rUfdJj25j+FV7e3sTExpIQEGBMRMWiDjWrqj3e3t7k5+eTmJAA+rofltia+LA2hM/ad8OZXez9PTwwrYYxCnV4WifUemK2sJawveOOO/jzzz+NgXKU/ucvC+tW/JuDgoIYPHgw+/W9EwFuu+02YmJial07xeDpwYMpKi3FU6djvElNFksGok653NrbmxJ90V9n7cuiMomf7M/SDEUNiaWktCNpNBqGDBlCYWGh2YWktR7zTZ1WqzXegHvggQdIT0+vdXJHp9PxwAMPoNFoaj28T9hXcXFxveoRdcstt5j1mqwPevXqZZZE1Wg0Dh++W1+O6fVpmHJjYJejXmBgoLGCfEUnTpywqZ5OU6N1cyMkJISoCvU/goKCanwycsRX07QNltpjKOJZcZhaq1at6NKli13aUFbLA38fIAUYWd2KTUSvXr3w8/Mzm6XM1BjU96yjja9nmC/G29vb7kmoigxHDnt2Iu/RowcDBw5k9uzZTJ06ldtvv52+ffsaHzf9PnVEHdJkKFlrWpbWdL3x48fbsYXmPE2Svi+PGMGwxESeGDTIbJ3qjhhdW7UivnlzplnZBwxsPdF303/uFQux1ofpaCv+DaGon6E9BpeEh4czatQoYwBmSCC1MqmZNnXqVAIDA5k+3XJ/OdO6MvaoMQPq3+xpY68FL9TaUDNM2uf8cr/CQOInx+jatSvNmzc3KxDelFV3bB84cGCTGF4yduxYgoODGTJkiF1ez9fXt849jAICApw6+1p9VHH2MWcx7Ae9evUyLgsNDa30fYmKinJZMqpir8n6oL4khVwhPDyca6+9tkYzhQvr7NIjatiwYSxYsIAJEyYY76BoNBpKSkp45513rN7ta8r6NmvGxtOnmWpSf6m2DEWp7cn0IGOp99OAAQMICAiodCdfq9Vy9dVXs2PHDkCd4c9SMWVb1DYR5QNYru5UPVccWu1du6iikJAQ5s2bh0ajsVgzI0j/cwW15lF1nHkqHghkol4op1axXk1OijqdziwIjY6ONpu62/TvM3w741ELPvsDX+mXmSZ/unbtavP2a8rDzY0Xhg2jTFFoHRZGaxtnGwv19CQANZm3cNw4LuTkEKzVsrqK59j6Pk5s04YQb+9KtetatWpFu3bt7JZgcbWQkBAyqqhTNnXqVC5evMgfGRn8kZ2Nm05HSkoKKSkpVp8TGBjI3XffbXWKY2dITk42q/si9+FdR+Inx/D09GTWrFmubka90aVLFzZv3mw20UhT1L17d7p3786ePXtc3RRhwlWJjQEDBtCmTRvCwsLo378/RUVF+Pj4mA3Pmz59Olqttl7UiRL1Q3s7XLsLlV0SUc888ww9evSgbdu2TJw4EY1Gw1tvvcWOHTtITU3l3//+tz0206g81K8fabm5xNjhLshAYC3q0JOdNXxuhI8PaXl5dK5YDN3kpGCpG6JOp6OblWLeZq9Tw/aYSrRDgUwdag+emg7Ts9RuQ7Fhuw9FqyYRpdVoKFMUPDw8KLQwq6Kt26h2HRtfy5mnYjcgHDVJZhCImpwynSuwrkFMdc/X6XQElpSYLXPm/cv2tegVoUGtGwVqz6X4oKBq67fZOoROp9UyzMLU5vVhVhTPWk7n3Qx1SK8ncO+995KWlkZCQgK///671aBDp9MRHR3NqJAQvtm/n97Nmtm0LdMprZ1No9FUmnLa9B0LQv2+mRZgN/Dy8iInx9ZpDYQtJH4SzuDp6cl9993XpHsyiPpr4sSJLFu2zOlF6A2zcoN5UX7T70lT/854WJjRvZmNsY4Q1bFLIqpFixZs2LCBefPmsXDhQhRF4dNPP2XIkCF8/vnnLpudoT7TabW1SkLdcMMNrF69mquvvpr3338fUGuUXId6V3tnDV/v1q5dKVMUOkdFVXps7ty5lJSUVCrOZgvDNJceHh5gQ/LEkDACuAbIBhLtMC3vONSLqTTUOjHVaePuTlFJCZYqttx7772UlpbaffhRdae4+IQE8vLycNNoOKsvEO8I9SURFWDSBdlSmwaiJgzseVQxHX5qqRaXm5sbJfpE1HjUfbW+V8+wVMfJNKBKTEzk+PHjJCYm0qxZM65cudKgezLN7tyZo5cv09bDg9rM3dkStZB5KBAcHEywfuY5WwLjAE9PPp80CbcGUOPDUDjetBegaSJqFOpMglupnIgKDwzE39+/3g0TaMgkfhLO0tQvqE1J75b6JTY2lvvvv9/VzbDI8L2pzbVQQzZlyhTS09M5efIkx44dA+Duu+/m4sWLda5rKYSB3abCaNu2LStWrKCwsJBLly4RHBzs0qEHjVWLFi0szs5huJAIAApQC0pbnvfBXFxgIM2sFEevS22Km2++mdzcXPYvWcKJixetrjcKyAP2o87kBOrQOnsd7g2vZb0F5rw0Gqx1uHRzc6tUE8seNFotVDE+3t3dncDAQHLsNBthXTl6JL+/pydPDxqEu5sb3x46BJgnhgw1bkw5ukdUZGQkqfri4PW9kkMv4KJOx7NjxrDq3/82m9XQ9O8cN24cZ86coWXLlo2iKO3ENm0A+PPPP2v1fC1qr6jaaghJqEceecQ41Np0X4gDjqP2HHXT/5h+I3Q6HSUlJVzboQPpRUV0a8AJy/pI4ichnMuZE2iIhsdSTNihQwdOnjxJQkKC8xvkAm3btgVg8eLFxmWhoaEu7dEtGh+7JKL27t1rHLrg6enZoO+qNySDBw/m6NGjnDp1yrhsDOpF+7dUTkSZDgF7beRILhcUWE1C1ZWbmxsBAQFmFzPRUVEUFhZSUFhIXl4eoPY+CEVNRFVkzztWNr+SC+4Yerm7k1Nh2Jcr1Kd7pYYL3W8tPGbpcr+uiajqJgjo06cP8fHxtGzZko8//rhO23K0ZODuTp1oGx1Nm3vvtfreeHh4OH12JmeQu/7WmSYcTd+nWGAY6rBXSxITEigtKyPQz4/bqpmVT9SMxE9COF9KSgqtW7eW75uoliE+NNTAbWqk96BwJLvcwu3YsSM9e/bknXfekamGnWjQoEHMnj3bbJmWynezk5KSSExMJEyfxQ7w96dlaCg9Y2NxNNOLHf+AAMLCwx2e8LA0g4lhcENwpUfMOarr7ZgxY9BoNHTsWD433TCgFTA5NpbIyEizgMjP1xcfb2/CTQpTu/oC29BbxHoZZscxPQ06ut9JgD45a1ovwM3NjaFDhxIXF+fgrduHYV9x9T7jCjIFdjk/G+vsaYBIzIebGiqABaH22tTpdGbDZoV9SPwkhPNptVquv/56BgwY4OqmiHrI7Nqlic9o2L9/f4BGeeNSuJ5dIva3334brVbLXXfdRUxMDNOnT2fVqlX2eGlRS4bqSm5ubuh0Otzd3VkwfjwD2rdn4fXXO60dli6DDRdHpsPcLK1X2yy8pWLiYaj1oqqbnDggIIAJEyZw880312rb1vTo0YMnnniCLl26GJdFAt2BNr6+PDBoEK+PH298TKPV0iwujuCQEOMyR9+VqO7Vnx8/nmHAC9dd59B2WGIaBjg6tXJjjx40a9aM8Q6cCa8+aKxJqsb6d9XGjBkz6Ny5M1FRUcZg0qC69ykGGAuMBCa3aUNKaChDExMd1tamSuInIYSof0aNGsXgwYMJs3Gm4saqRYsWPPjgg0ycONHVTRGNkF2G5s2dO5e5c+eyf/9+PvnkEz7//HO++uormjVrxsyZM5kxY4YUNnMgS7OuvTJxIv9cv567hw3jzytXyCsupk9cHH2dXPg0QFd5F0uOiUGn06nDRPQF8CypbeKlX79+7N+/n06dOtGpUycuXrzImjVrIC2t2ucqQOfOnWu13epotVoSEhIYM2YMYWFhfPrpp8bHDPVt6ht3d3c0gM7dne6dO9Ojc2eX9DhxByZiXlTZVF2TdKYX5Te2b8/AFi1oExbGi+vXV3q8ITMttG/vovv1RU0+K29vb/Lz8x3YGtcKCwtjwoQJFh+zpS4aFy7g4eHBDAcdE4XET0IIUR/17t3b1U2oN3ztMHmUEJbYrVg5QJs2bViwYAEvvvgiP//8M4sXL2bBggU8//zzxhmnhP1ZSkS1j4/n67vvBmCwC9pk0C8wkKNnzxIPGOZ7m96+PWezs+kbF0dOaioXLlzgf/v3czEryy7b9PPzM5umOCQkRE1EVRASHExOTg6BQUFc1BdUd8ZY6B49elS7jqVLRG/9sEFHFdm09JdrwFiYUaPRWJyJzVmqKt1b18/N09MTX19fSktLCQoIICQoqNrn9OrVi61bt9arYMVQVDrRSs8Vd3d3br31VjQaTaMt1tq6dWtCQ0OJi4tDp9Oxbds2q+u6ubnRsWNH8vPzOXnyZKUpihuz6hJRY8eOJTU11ViwVDiWxE9CCCGEaErsmogy0Gq1tGjRgqSkJIJMLvJF09M6KYl++9VS5IZElIebW/kddn3dqjf3Vy5XXpfkgi29InQ6HQn6C3ZX7qOmf6c3kA/4WuhJ5ubmRovkZHWWPUe0w9oyQ70hh2y1ftBoNDzwwAMoimJzj6+wsDAee+wxh8ykaIuWLVty+PBhQkJCyMjIAOBvf/sbeXl5hJgM6awo1gm14VzJ3d2du+66y3gM8PDwYOPGjbRt25Z9+/aZravRaIzdzV988UWnt7U+i4uLazA10RoTiZ+EEEII0RTYNRGVnZ3N0qVL+eSTT9i8eTOenp5MnDiRWbNm2XMzogrjx48nPz+fwEBr8x85V9euXfH09CQuLo6bfv4ZgDILCSa/elJg2BWzQ5hucwyQDeR7e3PBwrraOiY9PD09KSwsNCYxzNpRzXPr8/A0e3xuNU0oKYrisiQUwLRp0ygpKeGzzz4zJqK8vLzMZkZrqkz31REjRjBgwACOHj1qTEQ1b96c1NRUuprUAYuIiDCbgbSxs/adeeqpp5zcEgESPwkhhBCiabFLImrt2rV88sknLF++nLy8PHr06MHbb7/NtGnT6k1CpDEzvejqWs8KLGu12kozLVi6/JkQF8fFK1doYbIsIiLCoW3z8q482MvHxeOgPfU/ZxyU9Lnjjjs4evQoERERlRJRlv5ybwvvUX3i4eFBSUlJk5zVxDC8rrS01NVNqfe8vLzMEi/Tp0/n9OnTZkMYr732WtasWUOvXr1c0UTRREn8JIQQQoimyC6JqGHDhhEREcEdd9zB7NmzpaaEkzW0C1FLd+Injh6Nv7s7nTp1wt3dnXPnzpGSkuKQ7b8/fTrrjx2j2MODHefVAYPNmjUjLzeXRH09JGcyfT86dOjAnj17SExM5JwNxdVrKigoiG7dunH69OlKj3kA41Gn0tyVkEB2VhbBwcF2b0NdDRs2jA0bNjBp0iQSExOd0jPJNNkbFBTElStXaNmypUO3aauysjJXN6FBMP2eeXp6VioAHRgYKLPCCKeT+EkIIYQQTZFdElHffvst48aNc+kwlaasc+fO7Ny5k1atWrm6KTYJ1RfdNuXt7c348eONv0dHR9t1m0OHDuWrr76ie/fuDGrZkkEtW/L8778bH/fx8cHHx8dh9ZdsNXHiRMaNG8eHu3ZVmuWvc2QkOy9coHlAQJ23Yy15aehX5OHhQWg9nbK2VatW9OvXz2VDBe+66y4KCgrw8/NzyfYrkkSUbVwx7LahuPHGG/ntt98YNmyYq5vS5Ej8JIQQQoimyC6JqIrTQ69fv55u3brJdI9OMnr0aFq0aEGLFi2qX9mFnho0iBNXrtApMtLp205JSeGhhx4yG2pWXyoemV4gazQaPDw8LLYtPiiI+3v3JtAONYAsJaJ0Oh1arZaEhASszzPmer6+vi6tV6XT6epNEgpg0KBBLFu2jE6dOrm6KfWaJKLM+fj4GHv1JSUlVeohJpxD4ichhBBCNEV2nzWvtLSUIUOGsHXr1npXr6ix8vDwoF27dq5uRrW6x8TQPSbGZdv3qdATq3tMDBtPn8ZLp6NAPz22Ky5WQ/UzB5qKtdDrSVEUi73JasNSIsrLy4v7778frVbLF199ZZft2NMtt9xCUVGRXKBV0LZtWx544IEmWSerJup7vTNn02g0TJ8+3dXNECYkfhJCCCFEU2H3RBTInWfRMAxPSiLQy4sWISHM+O47oPqZ4+xp9uzZHDhwgP79+1d6bERSEueys+kbF8eqY8dYe+IE4+w49NLa0Lz6PDykWbNmLtt2fZ4xECDADsM1G7uWLVvSvXt3YlyYDBeiOhI/CSGEEKIpcEgiqr5ftAkB6n7aMzbWZduPi4sjLi7O4mPe7u7M6d4dgPYREdzdsycedkwS2VrgXoNzk3NCOIpGo2Hs2LGuboYQVZL4SQghhBBNgfSIEqKe02g0dk1Cgdo7xM/Pj5iYGGJiYli3bp3Fi/QYf3+uTkkh0NPTrttvaGQ4oBDCGSR+EkIIIURTYPdElJubG8ePH5fhD6JBaioXAR4eHjzwwANoNBo0Gg19+vTBw8PD4rpj9AWNm6IpU6aQlZVFpAsK7AshGr+9e/fSvn17QOInIYQQQjQdDukRFR8f74iXFcLhmkYaSqXVao3/t5aEaiqJOWvatm3r6iYIIRqxjh070r17d2bNmsW0adMkfhJCCCFEk6CtfhUbXkSrxc3NrcofZ8rOzubhhx9m5MiRhIeHo9FoePrpp53aBiEaA1enoVrpC7TL1PJCiMbo7bffRqvVctdddxETE8P06dNZtWqVy9oj8ZMQQgghnMEuPaKefPLJSgU2L168yMqVKyktLeXmm2+2x2ZsdunSJd5//306derENddcw4cffujU7QvR0MX6+3MmO5t+VoqpO8ukSZM4cOAAKSkpLm2HEEI4wty5c5k7dy779+/nk08+4fPPP+err76iWbNmzJw5kxkzZjg1ES/xkxBCCCGcwS6JKGt3y4qKihg1ahQRERH22IzN4uPjuXz5MhqNhvT0dAmkhM2a+lA0g5eGD2fXhQv0adbMpe3w9PSkU6dOLm2DEEI4Wps2bViwYAEvvvgiP//8M4sXL2bBggU8//zzlJSUOK0dEj8JIYQQwhnsMjTPGg8PD+655x5ee+01R26mEkMBZiFsNbZlSzzc3JjYpo2rm1IvBHp5MTA+HncnD6sVQoimTKvV0qJFC5KSkggKCnL6zRGJn4QQQgjhDA4pVm7K29ubc+fOOXozdlNYWEhhYaHx96ysLBe2RjjLHd27c1vXrrhpHZqbFUIIISrJzs5m6dKlfPLJJ2zevBlPT08mTpzIrFmzXN00m0n8JIQQQghbOfSq++LFi7z88ssNqr7LCy+8QGBgoPEnzsU1coTzSBJKCCGEM61du5abb76Z6Ohobr/9dkpKSnj77bc5d+4cn3/+OcOHD3d1E20m8ZMQQgghbGWXHlGJiYmVunIXFhaSlpaGVqvl+++/r/Vrr1u3jiFDhti07o4dO+jcuXOttwXw6KOPMm/ePOPvWVlZEkwJIYQQwu6GDRtGREQEd9xxB7Nnz6Zt27Z2e22Jn4QQQghRX9klETVo0KBKiSgvLy8SEhK4/vrrSUhIqPVrp6Sk8MEHH9i0bvPmzWu9HQNPT088PT3r/DpCCCGEEFX59ttvGTduHG4OqMcn8ZMQQggh6iu7JKIWLVpkj5exKDo6mltvvdVhry+EEEII4QoTJkxw2GtL/CSEEEKI+kqK4gghhBBCCCGEEEIIp3D4rHmu8vPPP5Obm0t2djYA+/bt4+uvvwZgzJgx+Pj4uLJ5QgghhBD1jsRPQgghhHA0jaIoiqsb4QgJCQmcPHnS4mPHjx+3uW5VVlYWgYGBZGZmEhAQYMcWCiGEEMKe5JxddxI/CSGEEE2LK87ZjbZH1IkTJ1zdBCGEEEKIBkXiJyGEEEI4mtSIEkIIIYQQQgghhBBOIYkoIYQQQgghhBBCCOEUkogSQgghhBBCCCGEEE4hiSghhBBCCCGEEEII4RSSiBJCCCGEEEIIIYQQTiGJKCGEEEIIIYQQQgjhFJKIEkIIIYQQQgghhBBOIYkoIYQQQgghhBBCCOEUkogSQgghhBBCCCGEEE4hiSghhBBCCCGEEEII4RSSiBJCCCGEEEIIIYQQTiGJKCGEEEIIIYQQQgjhFJKIEkIIIYQQQgghhBBOIYkoIYQQQgghhBBCCOEUkogSQgghhBBCCCGEEE4hiSghhBBCCCGEEEII4RSSiBJCCCGEEEIIIYQQTiGJKCGEEEIIIYQQQgjhFJKIEkIIIYQQQgghhBBOIYkoIYQQQgghhBBCCOEUkogSQgghhBBCCCGEEE4hiSghhBBCCCGEEEII4RQ6VzegvlMUBYCsrCwXt0QIIYQQVTGcqw3nbuE6Ej8JIYQQDYMr4idJRFUjOzsbgLi4OBe3RAghhBC2yM7OJjAw0NXNaNIkfhJCCCEaFmfGTxpFbhtWqaysjLNnz+Lv749Go3H49rKysoiLi+PUqVMEBAQ4fHui8ZN9SjiK7FvCnuyxPymKQnZ2NjExMWi1Un3AlSR+Eg2Z7E/CkWT/EvbUUOMn6RFVDa1WS7NmzZy+3YCAADkwCbuSfUo4iuxbwp7quj9JT6j6QeIn0RjI/iQcSfYvYU8NLX6S24VCCCGEEEIIIYQQwikkESWEEEIIIYQQQgghnEISUfWMp6cnTz31FJ6enq5uimgkZJ8SjiL7lrAn2Z9EXcj+I+xJ9ifhSLJ/CXtqqPuTFCsXQgghhBBCCCGEEE4hPaKEEEIIIYQQQgghhFNIIkoIIYQQQgghhBBCOIUkooQQQgghhBBCCCGEU0giysSaNWuYPXs2rVu3xtfXl9jYWCZMmMD27dsrrfvnn38yfPhw/Pz8CAoKYtKkSRw7dsxsnUOHDvHggw/SrVs3goKCCAkJoV+/fnz99dcWt5+WlsbMmTMJCwvDx8eHPn36sHr16hr9Dba0C0Cj0Vj8efHFF2u0PVG1prJPLVq0yOo+JfuVYzSVfQvg3LlzzJw5k4iICLy8vOjYsSMfffRRjbYlqtfQ96k//viDW2+9lW7duuHp6YlGo+HEiRMW13399deZNGkSiYmJaDQaBg8ebPN2RGUNfd+xtV0g8ZOzNJV9SuIn52sq+xZI/OQMDX1/cmnspAijyZMnK0OGDFEWLlyorFu3Tlm2bJnSu3dvRafTKatXrzaut3//fsXf318ZMGCA8uOPPyrffPON0q5dOyUmJkZJS0szrvfmm28qrVu3Vp577jll5cqVyk8//aTMmDFDAZT58+ebbbugoEBp37690qxZM2XJkiXKypUrlQkTJig6nU5Zt26dTe23tV2KoiiAMnnyZGXTpk1mP2fOnKnDOygqair7VFpaWqV9adOmTcqIESMUQDlw4EAd30lRUVPZt65cuaIkJSUpzZo1Uz755BNlxYoVxna9+uqrdXwXhamGvk89/fTTSnx8vHLNNdcogwcPVgDl+PHjFtdNSUlRunbtqsyePVsJDw9XBg0aVOP3S5Rr6PuOxE/1T1PZpyR+cr6msm9J/OQcDX1/cmXsJIkoExcuXKi0LDs7W4mMjFSGDRtmXDZlyhQlLCxMyczMNC47ceKE4u7urjz88MPGZRcvXlTKysoqvebYsWMVHx8fpaCgwLjs7bffVgBl48aNxmXFxcVK27ZtlZ49e9rUflvbpShqIHXXXXfZ9Lqi9prSPlVRTk6O4ufnp/Tv39+mbYmaaSr71gsvvKAAyrZt28yeP3LkSMXX11e5fPmyTdsT1Wvo+1Rpaanx/y+//HKVwZTpuu3atZNEVB019H1H4qf6pyntUxVJ/ORYTWXfkvjJORr6/uTK2EkSUTYYMmSI0qpVK0VR1A/X29tbmTNnTqX1Ro4cqbRs2bLa15s/f74CKGfPnjUuGz58uJKSklJp3eeff14BlNOnT1f5mjVtlwRSrtUY96mKPvroIwVQFi1aVG37hf00tn1r3LhxSmRkZKX1/vWvfymA8uWXX1b7N4i6aQj7VEXVBVOmJBHlOA1h35H4qWFpjPtURRI/uUZj27ckfnKthrA/VeTs2ElqRFUjMzOTP//8k3bt2gFw9OhR8vPz6dixY6V1O3bsyJEjRygoKKjyNdeuXUt4eDgRERHGZXv37rX6mgB//fVXla9Zm3Z98cUXeHt74+npSbdu3fjkk0+q3Iawj8a8T5n66KOPCAgIYMqUKVVuR9hPY9y3ioqK8PT0rLSeYdnu3bur3Jaom4ayT4n6p6HsOxI/NRyNeZ8yJfGT8zXGfUviJ9dpKPuTq0kiqhp33XUXubm5PP744wBcunQJgJCQkErrhoSEoCgKly9ftvp6H374IevWreOJJ57Azc3NuPzSpUtWX9N0u9bUtF3Tp0/nrbfeYuXKlXzxxRdERkYye/Zs/vGPf1S5HVF3jXWfMnXgwAE2btzItGnT8PHxqXI7wn4a477Vtm1bTp8+TWpqqtl6f/zxh03bEnXTUPYpUf80lH1H4qeGo7HuU6YkfnKNxrhvSfzkOg1lf3I1nasbUJ/94x//4PPPP+fNN9+kW7duZo9pNBqrz7P22M8//8xdd93F5MmTueeee2x+nuljZWVllJWVmS033SFtbdfnn39u9ti1117L+PHjefHFF7n33nsJDw+3+jqi9hrzPmXKMCPHrbfeavW5wr4a6751++23884773DDDTfw7rvvEhUVxVdffcXSpUsB0GrlfoqjNMR9StQPDXHfkfipfmvM+5QpiZ+cr7HuWxI/uUZD3J9cRfZAK+bPn8+zzz7Lc889x913321cHhoaCljOMGZkZKDRaAgKCqr02C+//MKkSZMYMWIEn3/+eaWdJjQ01OprQnlmc/bs2bi7uxt/hg0bVqd2mbrxxhspKSlh27ZtVa4naqep7FPFxcV8+umndOrUie7du1t6K4SdNeZ9q02bNnz77becPHmS9u3bExYWxksvvcSrr74KQGxsbJXvjaidhrZPifqjoe07Ej/Vf01ln5L4yfka874l8ZPzNbT9yeXqVGGqkXr66acVQHn66acrPWYoNnbHHXdUemzUqFEWi42tWLFC8fLyUkaNGmVW6d7UiBEjlNatW1dabpjxwDAt8PHjx5WtW7cafwzTutamXRV9+eWXCqCsWLGi2nVFzTSlfWr58uUKoLz55psWHxf21VT2rbKyMuXQoUPKvn37lJKSEuWLL75QAOW3336z2EZRew1xn6pIipW7RkPcdyR+qt+a0j4l8ZNzNZV9S+In52iI+1NFzo6dJBFVwTPPPKMAyhNPPGF1neuuu06JiIhQsrKyjMtOnjypeHh4KI888ojZur/88ovi5eWlDB8+XMnPz7f6mgsXLlQAZfPmzcZlxcXFSrt27ZRevXrZ1PaatMuSMWPGKO7u7srFixdt2p6wTVPbp8aOHat4eXkpGRkZNm1D1F5T27cMCgsLlV69eimdO3e2aVvCdg15nzIliSjna8j7jsRP9VNT26ckfnKeprZvGUj85BgNeX8yJYkoF3rllVcUQLnqqquUTZs2Vfox2L9/v+Ln56cMHDhQ+emnn5Tly5cr7du3V2JiYpS0tDTjer///rvi7e2tJCQkKGvWrKn0epmZmcZ1CwoKlHbt2ilxcXHK559/rqxatUqZOHGiotPplHXr1tnUflvbtWDBAmXmzJnKZ599pqxdu1ZZunSpMnLkSKtZXFF7TWWfMjhz5ozi5uamTJ8+vQ7vmrBFU9q37r77buXrr79W1q5dq3z00UdKp06dlNDQUGXv3r11fBeFqYa+T6WlpSnLli1Tli1bptx8880KoCxcuFBZtmxZpdfYunWrcd24uDilbdu2xt9PnDhRx3ey6Wno+47ET/VPU9mnDCR+cp6mtG9J/OR4DX1/cmXsJIkoE4MGDVIAqz+mtm3bpgwbNkzx8fFRAgIClGuuuUY5cuSI2TpPPfVUla+3du1as/XPnz+v3HzzzUpISIji5eWl9O7dW1m1alWN/gZb2vX9998r/fv3V8LDwxWdTqf4+/srAwYMUL788ssabUtUr6nsUwbPPfecAihr1qyp0TZEzTWlfWvChAlKdHS04u7urkRFRSkzZ86UZIEDNPR9au3atVa3VfGu3YwZM6yu+8knn9TkbRNKw993bG2XxE/O01T2KQOJn5ynKe1bEj85XkPfn1wZO2kURVEQQgghhBBCCCGEEMLBZNY8IYQQQgghhBBCCOEUkogSQgghhBBCCCGEEE4hiSghhBBCCCGEEEII4RSSiBJCCCGEEEIIIYQQTiGJKCGEEEIIIYQQQgjhFJKIEkIIIYQQQgghhBBOIYkoIYQQQgghhBBCCOEUkogSQgghhBBCCCGEEE4hiSghhBBCCCGEEEII4RSSiBJCCCGEEEIIIYQQTiGJKCGEEEIIIYQQQgjhFJKIEkIIIYQQQgghhBBOIYkoIYQQQgghhBBCCOEUkogSQgghhBBCCCGEEE4hiSghhBBCCCGEEEII4RSSiBJCCCGEEEIIIYQQTiGJKCGEEEIIIYQQQgjhFDpXN6C+Kysr4+zZs/j7+6PRaFzdHCGEEEJYoSgK2dnZxMTEoNXKvTZXkvhJCCGEaBhcET9JIqoaZ8+eJS4uztXNEEIIIYSNTp06RbNmzVzdjCZN4ichhBCiYXFm/CSJqGr4+/sD6ocSEBDg4tYIIYQQwpqsrCzi4uKM527hOhI/CSGEEA2DK+InSURVw9CdPCAgQAIpIYRwsNTUVNLT013dDNFAhIWF0bx580rLZSiY60n8JIQQziPxk7CVtdgJnBs/SSJKCCFEvZCamkqbNm3Iy8tzdVNEA+Hj48P+/futBlRCCCFEYyfxk6iJ+hI7SSJKCCFEvZCenk5eXh5LliyhTZs2rm6OqOf279/PjTfeSHp6usuDKSGEEMJVJH4StqpPsZMkooQQQtQrbdq0oWvXrq5uhhBCCCFEgyHxk2hIZG5jUWsajYbBgwe7uhlCCCGEEEIIIYRoICQRVY/k5eXx/PPP07VrV/z8/PDy8qJZs2YMGDCARx99lKNHjzq1PTNnzkSj0XDixAmnbtcV9u7dy4wZM0hISMDT05PAwEBatGjBpEmTeOONN1AUxS7b2blzJ3fccQdt27YlICAADw8PoqOjGTlyJK+//jqXLl2yy3aEEEIIIYQQQoj6SIbm1RPZ2dn079+f3bt306JFC2688UaCgoI4deoUf/31Fy+++CLJyckkJye7uqmNzqpVqxg3bhwlJSUMGzaMiRMnAnDs2DE2bNjAt99+y1133YVOV/uvS1lZGQ8//DCvvvoqOp2OgQMHMnLkSHx8fEhLS2Pjxo088MADPPnkkxw7doywsDB7/XlCCCGEEEIIIUS9IYmoeuL1119n9+7d3HLLLXzwwQeVpk48fvw4hYWFLmpd4zZ37lxKS0v59ddfGTJkiNljiqKwcuVK3Nzc6rSNxx9/nFdffZXu3bvz1VdfWUwobt26lYcffpiCgoI6bUsIIYQQQgghhKivZGhePbFp0yYA7r777kpJKIDExERat25daflff/3F9ddfT0REBJ6eniQmJvLAAw+QkZFRad2qajolJCSQkJBg9vvixYuN29ZoNFaff/HiRWbPnk1ERATe3t707t2bdevWWdxOdnY2Tz31FO3atcPb25ugoCCuuuoq/vjjj0rrDh48GI1GQ2FhIU8++SQtWrTA3d2dp59+2uzvqcn2K0pLS+Po0aO0b9++UhLKsI1Ro0ZZ/EwWL15M79698fPzw8/Pj969exvfM1OHDx/m5ZdfJiIigp9//tlqr7YePXqwZs0aoqOjbWq7EEIIIYQQQgjR0EiPqHoiJCQEgCNHjtC5c2ebnrNx40ZGjhxJYWEhkydPJiEhgc2bN/P666/z448/smnTJkJDQ2vVnvvvv59Fixaxa9cu7rvvPoKCggDMklUAV65coV+/fgQEBHDDDTeQlpbG0qVLGTVqFNu3b6d9+/bGdTMyMhg4cCB//fUXAwYMYNSoUWRmZvKf//yHIUOGsGzZMq655ppKbZk0aRK7du1i1KhRhISEkJSUVKvtWxIYGIibmxvnzp0jNzcXX19fm96fBx54gNdff53Y2FhuueUWNBoN33zzDTNnzmTXrl289tprxnUXLVpEaWkpc+bMqXbInUajqXPvKyGEaGgmTpzIunXrGDZsGF9//bWrmyOEEEIIUe816PhJEVXKzMxUACUzM9Oh2/nuu+8UQAkICFAeeeQRZfXq1UpGRobV9UtLS5WWLVsqgLJixQqzxx599FEFUG655Raz5YAyaNAgi68XHx+vxMfHmy2bMWOGAijHjx+3+BxAAZQ777xTKS0tNS7/8MMPFUCZM2eO2frTp09XAOXjjz82W37+/HklLi5OCQ8PV/Lz843LBw0apABK586dlUuXLtV5+9Zcc801xu0sXLhQ2blzp1JUVGR1/fXr1yuA0qZNG+XKlSvG5VeuXFFat26tAMrvv/9uXD5kyBAFUNasWWNTe4RoqrZv364Ayvbt213dFOFka9asUb7//nvl2muvtfk5lvYXZ52zRfXksxBCCOeQ+Knpqmn8ZG1fccU5W4bm1RMTJkxgwYIFlJWV8dJLLzFs2DBCQkJo0aIFd999N4cPHzZbf8OGDRw+fJjRo0czatQos8cef/xxQkND+eKLLygqKnJou319fXnppZfQast3pRkzZqDT6di6datxWXp6OkuXLmXYsGHMmjXL7DUiIyN56KGHuHjxIr/++mulbcyfP9/YY6y226/KBx98wNixY9m5cyd33nknnTt3xs/Pj379+vGvf/2L/Px8s/UXLVoEwNNPP01gYKBxeWBgIE899ZTZOgDnz58HICYmptK216xZw9NPP232Y2mYohBCNGZDhgzB39/f1c0QQgghhGgwGnL8JImoeuShhx7i7Nmz/Pvf/+b++++nf//+pKam8vbbb9OxY0e+//5747o7duwAsFizydfXl+7du5Ofn8+hQ4cc2uaWLVvi5+dntkyn0xEZGcmVK1eMy7Zu3UppaSkFBQWVEi9PP/00mzdvBuDAgQOVttGzZ886b78qYWFh/Pe//+XgwYP861//4sYbb6R58+Zs3LiR++67j549e5rV3KrqvTcs27lzp3GZoihWt71mzRrmz59v9iOJKCGqNnPmTGPdOp1OR/PmzZk7dy6XL1+utM4dd9xR6fl33nknGo2GmTNnGpelpaUxZ84cmjdvjqenJ1FRUYwaNcpYv6/idk1/rrrqqhr/DQsXLiQxMREvLy+6devG77//XufnlJSU8MQTT5CYmIi3tzdJSUk888wzlJWV1bh9QgghhGhcJH6y/JyEhASL7bvrrrtq3D5hO6kRVc/4+/szZcoUpkyZAkBmZiaPPfYYCxcu5JZbbuHMmTN4eHiQlZUFqL2JLImKijI+35FMewSZ0ul0lJaWGn83JHI2bNjAhg0brL5ebm5upWXW/saabN8WrVq1olWrVsbfd+7cyY033sjevXuZP38+b7zxBgBZWVlotVrCw8MttlWr1Zq975GRkRw4cIAzZ86QkpJitv6zzz7Ls88+C6i9qCr2FhNCWHbVVVfxySefUFJSwr59+5g9ezZXrlzhyy+/NK4TFxfHV199xT//+U+8vb0BKCgo4Msvv6R58+Zmr3fttddSXFzM4sWLSUpK4sKFC6xevbrSxA+G7Zry9PSsUduXLl3K/fffz8KFC+nXrx/vvfceo0ePZt++fZXaVZPnvPTSS7z77rssXryYdu3asW3bNmbNmkVgYCD33XdfjdpoT926dbM46+vKlSst9hQVQgghhGNI/FT5OYYOEwZ79+5lxIgRxutxV2ns8ZP0iKrnAgMDeeutt4iPjyc9PZ09e/YAEBAQAMCFCxcsPs+w3LAeqIWwS0pKLK7v6ISVoR1/+9vfUBTF6o9haJspSzPWOUPnzp158803AbXnkkFAQABlZWVcvHix0nPS0tIoKysze9/79u0LwNq1ax3cYiGaDsNdt2bNmjFy5Eiuv/56Vq5cabZO165dad68OcuXLzcuW758OXFxcXTp0sW47MqVK/zxxx+89NJLDBkyhPj4eHr27Mmjjz7K2LFjLW7X9Cc4OLhGbX/ttde45ZZbuPXWW2nTpg2vv/46cXFxvPPOO3V6zqZNm5gwYQJjx44lISGByZMnM3LkSLZt22b1dQcPHsw999zD/fffT3BwMJGRkbz//vvk5uYya9Ys/P39SU5O5ueff67yb/r666/p0KED3t7ehIaGMnz4cOONhe3bt7N3795KP40hiBJCCCEaEomfKj8nPDzcrF3//e9/SU5OZtCgQVZfV+KnupNEVAOg0Wjw8fExW2Y4CKxbt67S+nl5eWzbtg1vb2+zHjjBwcGcOXOm0vonTpywOIzNMHtbTXsWWdKjRw80Go1ZN82GwNIselW997/99huA2cyHM2bMQKvV8v7775Oenu6QdgrRlB07dowVK1bg7u5e6bFZs2aZ3YH7+OOPmT17ttk6fn5++Pn58d1331m881QTixYtqjJ5XlRUxPbt2xk5cqTZ8pEjR7Jx48Y6Pad///6sXr3aOCR7165d/PHHH4wZM6bKNi9evJiwsDD+97//cc899zB37lymTJlC3759+fPPPxk1ahQ33XQTeXl5Fp9/7tw5pk2bxuzZs9m/fz/r1q1j0qRJVQ5LFkIIIYRrSfxk+TlLlixh9uzZ1XaGkPipbiQRVU+89957VotrL1++nAMHDhAUFET79u0B6NevnzHLWrHA9wsvvEB6ejrTpk3Dw8PDuLx79+6cOHHCLIFSVFTEvHnzLG7XUCD89OnTdfnTAHWo4HXXXcfGjRt5+eWXLX7BtmzZYvWL6ii5ubk899xzFhNEJSUlLFiwAFAv8AxmzJgBqEXUDUMkQR2yN3/+fLN1AFJSUpg3bx5paWmMHj2ao0ePWmyLrTWthBDw3//+Fz8/P7y9vUlOTmbfvn088sgjlda76aab+OOPPzhx4gQnT55kw4YN3HjjjWbr6HQ6Fi1axOLFiwkKCqJfv3489thj7N692+p2TX/+7//+z/h4YGBgpSG4ptLT0yktLa005DgyMtI4sUFtn/PII48wbdo0Wrdujbu7O126dOH+++9n2rRpVtsD0KlTJ5544glatmzJo48+ire3N2FhYdx22220bNmSJ598kkuXLll8P0ANpEpKSpg0aRIJCQl06NCBO++8s1L9vqqMGjWKKVOm8NNPP9GsWTObJ5sQQgghhO0kfqr6Od999x1Xrlwxq4NljcRPdSM1ouqJn3/+mTvuuIMWLVrQr18/YmJiyMnJYefOnfz+++9otVoWLlxoHEur1WpZtGgRo0aNYsyYMUyZMoX4+Hi2bNnCmjVrSE5O5sUXXzTbxgMPPMDKlSsZO3Ys06ZNw8fHh1WrVhEUFER0dHSlNg0dOpRXXnmFOXPmMGXKFHx9fWnevDnTp0+v1d+4cOFCDh48yMMPP8xnn31Gnz59CAwM5NSpU2zfvp3Dhw9z7ty5Sr2/HKm4uJgnnniCp59+mj59+tCpUycCAgK4cOECK1as4MyZMyQmJpoNGRw4cCD33HMPb775Ju3bt+faa69FURSWL1/OqVOnuPfeexk4cKDZdl588UWKi4t54403SElJYdCgQXTs2BEfHx/S0tLYuXMn27ZtIyAggI4dOzrt7xeioRoyZAjvvPMOeXl5fPjhhxw6dIh77rmn0nphYWGMHTuWxYsXoygKY8eOJSwsrNJ61157LWPHjuX3339n06ZNrFixggULFvDhhx+aBSOG7ZoyndVz4sSJTJw4sdr2V7zLpihKtXfeqnvO0qVLWbJkCV988QXt2rVj586d3H///cTExJglxysyPea4ubkRGhpKhw4djMsMAVxaWprF53fq1Ilhw4bRoUMHRo0axciRI5k8eXKNutz/8ssvNq8rhBBCiNqR+Knq53z00UeMHj3apuFvEj/VjSSi6omXXnqJfv36sWrVKtavX8+5c+cAiI2NZcaMGdxzzz1069bN7Dn9+/dn8+bNPPPMM6xcuZLMzExiYmK49957+cc//lHpYHHVVVexdOlSnn32WT777DNCQkKYMmUKzz//vLGnlanRo0ezYMECPvjgA1566SWKi4sZNGhQrRNRISEhbNy4kbfeeoulS5fy+eefU1ZWRlRUFJ06dbLYZkcLCAjgp59+4pdffuGPP/5g2bJlXLp0CR8fH1q1asXtt9/OfffdV6ko+r/+9S+6dOnCO++8w/vvvw9Au3btmD9/vsWC425ubrz++uvcdNNNvPvuu6xfv54tW7ZQVFRESEgIHTp04LXXXuOmm25y+nsgREPk6+tLixYtAPX7OGTIEObPn292d81g9uzZ3H333QC8/fbbVl/Ty8uLESNGMGLECJ588kluvfVWnnrqKbNAynS7tREWFoabm1ulO3FpaWlWJ2aw9TkPPfQQf//735k6dSoAHTp04OTJk7zwwgtVJqIqdsnXaDRmywzBmrXZ99zc3Fi1ahUbN25k5cqVvPnmmzz++ONs2bKFxMREq9sVQgghhHNJ/GT9OSdPnuTXX381q41VFYmf6kYSUfVESkoKDz30EA899FCNntehQweWLVtm8/rXXXcd1113XaXlJ06csLh+VW2qavyqtdfz9va2+e+0VIOprtuvSKvVMnr0aEaPHm3T+qZmzZpV41nuunXrxgcffFDjbQkhqvbUU08xevRo5s6dW+ku1lVXXUVRURGgdmG2Vdu2bfnuu+/s2Uw8PDzo1q0bq1atMrvzt2rVKiZMmFCn5+Tl5aHVmo+4d3NzsxoA2ZNGo6Ffv37069ePJ598kvj4eL799lurQ7+FEEII4XoSP5X75JNPiIiIqFRo3ZGacvwkiSghhBAN3uDBg2nXrh3PP/88b731ltljbm5u7N+/3/j/ii5dusSUKVOYPXs2HTt2xN/fn23btrFgwYJKgUphYWGlO2s6nc7Yk/Hbb7/l0Ucf5cCBA1bbOm/ePG666Sa6d+9Onz59eP/990lNTeWOO+4wrvPWW2/x7bffsnr1apufM378eJ577jmaN29Ou3bt2LFjB6+99lql4qL2tmXLFlavXs3IkSOJiIhgy5YtXLx4kTZt2jh0u0IIIYSoG4mfVGVlZXzyySfMmDEDnc45KZKmHj9JIkoIIUSjMG/ePGbNmmWx6GZAQIDV5/n5+dGrVy/++c9/cvToUYqLi4mLi+O2227jscceM1t3xYoVlWrqpaSkGAOnzMxMDh48WGU7r7/+ei5dusQzzzzDuXPnaN++PT/99BPx8fHGddLT080mNrDlOW+++Sb/+Mc/uPPOO0lLSyMmJoY5c+bw5JNPVtmeugoICGD9+vW8/vrrZGVlER8fz6uvvlqrnqZCCCGEcK6mHj8B/Prrr6Smpjr85p2pph4/aZSmMj9gLWVlZREYGEhmZmaVX0QhhBB18+eff9KtWze2b99O165dXd0cUc9Z2l/knF1/yGchhBDOIfGTsJW1fcUV52xt9asIIYQQQgghhBBCCFF3kogSQgghhBBCCCGEEE4hiSghhBBCCCGEEEII4RSSiBJCCCGEEEIIIYQQTmH3RFRZWRl5eXn2flkhhBBCCCGEEEII0cDVORFVUFDAokWLmDJlCjExMXh4eODv74+Pjw/du3fn4YcfZteuXfZoqxBCCCFEoyQ38oQQQgjRVOhq+8T8/HwWLFjAG2+8QWZmJq1bt2bYsGFERETg5eVFRkYGx44d44MPPuDVV1+lb9++LFiwgD59+tiz/UIIIYQQDU5BQQFfffUVP/74Ixs2bCAtLQ1FUfD09KRt27YMHTqUG264gU6dOrm6qUIIIYQQdlXrHlEtW7bkiy++4IknnuDs2bP89ddffPbZZ7z66qs899xzvPPOO/zyyy9kZGSwatUqEhISGDJkCB9++KE92y+EEKKJePfdd/H396ekpMS4LCcnB3d3dwYMGGC27u+//45Go+HQoUMA7Nixg3HjxhlvliQkJHD99deTnp5ufM4333xDr169CAwMxN/fn3bt2vG3v/2txu387bff6NatG15eXiQlJfHuu+9W+5zVq1fTt29f/P39iY6O5pFHHjH7O9etW8eECROIjo7G19eXzp078/nnn5u9xrp169BoNJV+Dhw4UOO/QThOfn4+8+fPJyYmhltuuYV9+/YxbNgw7rvvPv7+978zY8YMQkND+eCDD+jatSsDBgxg06ZNrm62EEKIBqoxx09bt25l2LBhBAUFERwczMiRI9m5c6fZOoqi8Morr9CqVSs8PT2Ji4vj+eefNz5+7tw5pk+fTkpKClqtlvvvv7/GbRc1V+seUc888wwzZszAzc2tyvU0Gg1Dhw5l6NChzJ8/n9TU1NpuUgghRBM2ZMgQcnJy2LZtG7179wbUgCkqKoqtW7eSl5eHj48PoCZlYmJiaNWqFWlpaQwfPpzx48fzyy+/EBQUxPHjx/n++++NQ6F+/fVXpk6dyvPPP8/VV1+NRqNh3759rF69ukZtPH78OGPGjOG2225jyZIlbNiwgTvvvJPw8HCuvfZai8/ZvXs3Y8aM4fHHH+fTTz/lzJkz3HHHHZSWlvLKK68AsHHjRjp27MgjjzxCZGQkP/74IzfffDMBAQGMHz/e7PUOHjxIQECA8ffw8PAa/Q3CsVq2bImvry9PPPEEN9xwA5GRkRbXUxSFtWvX8sknnzBkyBDeeustbr31Vie3VgghREPXWOOn7OxsRo0axYQJE1i4cCElJSU89dRTjBo1itOnT+Pu7g7Afffdx8qVK3nllVfo0KEDmZmZZom0wsJCwsPDefzxx/nnP/9Z4/dX1JIiqpSZmakASmZmpqubIoQQjdr27dsVQNm+fbvVdWJiYpQXXnjB+PvDDz+s3HXXXUrbtm2VVatWGZcPHTpUueGGGxRFUZRvv/1W0el0SnFxsdXXve+++5TBgwfX+W94+OGHldatW5stmzNnjtK7d2+rz3n00UeV7t27my379ttvFS8vLyUrK8vq88aMGaPMmjXL+PvatWsVQLl8+XLtGt/AWNpfGsI5+6OPPlJKSkpq9JyjR48qa9eudUyDHKQhfBZCCNEYNNX4aevWrQqgpKamGpft3r1bAZQjR44oiqIo+/btU3Q6nXLgwAGb2jFo0CDlvvvuq/kf0EBY21dccc62+6x5QgghhKMMHjyYtWvXGn9fu3YtgwcPZtCgQcblRUVFbNq0iSFDhgAQFRVFSUkJ3377LYqiWHzdqKgo/vrrL/bu3Wt12ydOnECj0bBu3Tqr62zatImRI0eaLRs1ahTbtm2juLjY4nMKCwvx8vIyW+bt7U1BQQHbt2+3uq3MzExCQkIqLe/SpQvR0dEMGzbM7L0S9cPs2bOr7U1eUVJSEoMHD3ZMg4QQQjR6jTF+SklJISwsjI8++oiioiLy8/P56KOPaNeuHfHx8QD88MMPJCUl8d///pfExEQSEhK49dZbycjIsNoW4Rx2S0SVlZXx6aef2uvlhBBCiEoGDx7Mhg0bKCkpITs7mx07djBw4EAGDRpkDHA2b95Mfn6+MZDq3bs3jz32GNOnTycsLIzRo0fz8ssvc+HCBePr3nPPPfTo0YMOHTqQkJDA1KlT+fjjjyksLDSu4+7uTkpKirH7uiXnz5+vNNQqMjKSkpISs27gpkaNGsXGjRv58ssvKS0t5cyZMzz77LOAWrfAkq+//pqtW7cya9Ys47Lo6Gjef/99vvnmG5YvX05KSgrDhg1j/fr1VbyjQgghhGjsGmP85O/vz7p161iyZAne3t74+fnxyy+/8NNPP6HTqRWIjh07xsmTJ1m2bBmffvopixYtYvv27UyePLlW76OwH7slooqLi80CYiGEEMLehgwZQm5uLlu3buX333+nVatWREREMGjQILZu3Upubi7r1q2jefPmJCUlGZ/33HPPcf78ed59913atm3Lu+++S+vWrdmzZw8Avr6+/Pjjjxw5coQnnngCPz8//va3v9GzZ09jHYTY2FgOHDhAz549q2yjRqMx+91wF7HicoORI0fy8ssvc8cdd+Dp6UmrVq0YO3YsgMWeM+vWrWPmzJl88MEHtGvXzrg8JSWF2267ja5du9KnTx8WLlzI2LFjjXWmRP0kN/KEEEI4WmOMn/Lz85k9ezb9+vVj8+bNbNiwgXbt2jFmzBjy8/MB9RxbWFjIp59+yoABAxg8eDAfffQRa9eu5eDBg7V7M4Vd1KhY+TPPPGP1MWtd5oQQQgh7adGiBc2aNWPt2rVcvnyZQYMGAWrX8MTERDZs2MDatWsZOnRopeeGhoYyZcoUpkyZwgsvvECXLl145ZVXWLx4sXGd5ORkkpOTufXWW3n88cdp1aoVS5cutflGS1RUFOfPnzdblpaWhk6nIzQ01Orz5s2bxwMPPMC5c+cIDg7mxIkTPProoyQmJpqt99tvvzF+/Hhee+01br755mrb07t3b5YsWWJT24VrGG7k2fJ5CiGEELXRGOOnL774ghMnTrBp0ya0Wq1xWXBwMP/5z3+YOnUq0dHR6HQ6WrVqZXxemzZtAEhNTSUlJcWm9gn7q1Ei6tlnn2XixIlms/EYlJaW2q1RQgghhDVDhgxh3bp1XL58mYceesi4fNCgQfzyyy9s3ry52sDHw8OD5ORkcnNzra6TkJCAj49PletU1KdPH3744QezZStXrqR79+7G2Vus0Wg0xMTEAPDll18SFxdH165djY+vW7eOcePG8dJLL3H77bfb1J4dO3YQHR1tc/uFY8iNPCGEEK7W2OKnvLw8tFqtWY8pw+9lZWUA9OvXj5L/Z+++w6Oq0geOf2cmZdJ7JSEJCb1XaVKki6CoiGDBXtaOq6ura1vX/nPVtexiwd5QUREpiiBY6L23hFTSSO9Tfn/cmWFmMpNMkkmBvJ/n4SGZcu/JzJ07577nPe/R6Th+/DjJyckAHDlyBMBSR0q0jyYFovr378+1115rmTJgrbq6mvfff99d7RJCCCEcmjhxInfccQd1dXWWET1QOlK333471dXVlvoGAD/88AOff/45V155JT169MBoNLJ8+XJ+/PFHlixZAsATTzxBZWUlF154IQkJCRQXF/Paa69RV1fHlClTAMjKymLSpEl8+OGHTtPLb7vtNl5//XUWLVrEzTffzJ9//sm7777LZ599ZnnMsmXLePjhhzl06JDlthdffJHp06ejVqv55ptveO655/jyyy8tU/PWr1/PzJkzueeee7jssssso4ZeXl6WguWvvPIKiYmJ9O3bl9raWj7++GO+/vprvv76a3e87KIFZCBPCCFEezvX+k9TpkzhgQce4I477uCuu+7CYDDw3HPP4eHhYfk7Jk+ezJAhQ7jhhht45ZVXMBgM3HHHHUyZMsUmS2rXrl0AlJeXk5+fz65du/Dy8qJPnz5ueOWFQ01ZYu+tt94yfvfddw7v0+l0xieeeKKFi/h1PLL8sBBCtA1Xlh82Go3G1NRUI1Bvmd+MjAwjYExOTra5/fjx48abb77Z2KNHD6OPj48xODjYOHz4cOOSJUssj/nll1+Ml112mTE+Pt7o5eVljIqKMk6fPt24cePGevtdt25dg+1bv369cfDgwUYvLy9jYmKi8a233rK5f8mSJUb7r9+JEycag4KCjFqt1njeeecZf/zxR5v7Fy5caATq/Rs/frzlMc8//7wxOTnZqNVqjSEhIcaxY8caV6xY0WBbz2aOjpeO+p09ZMgQ4w8//ODwvqqqKqNKpWrjFrW+jvpeCCHEuaYz95/WrFljHDNmjDEoKMgYEhJivOCCC4x//vmnzWOysrKMl156qdHf398YFRVlvO6664yFhYU2j3HUx0pISGiwvWcjZ8dKe3xnq4xGJ2sxCgBKS0sJCgqipKTE4UimEEII99ixYwdDhw5l+/btNlPShHDE0fHSUb+z//vf/xIbG8vs2bPr3afX63n66ad5/PHH26FlraejvhdCCHGukf6TcJWzY6U9vrObNDVPCCGEEEI0zW233eb0Po1Gc84FoYQQQgghGqJu6QY6aueprKyMBx98kKlTpxIREYFKpeKJJ55o72YJIYQQQkj/SQghhBCdVosDUS+++KI72uF2hYWFLF68mJqaGi655JL2bo4QQgghhIX0n4QQQgjRWbV4al5HLTGVkJBAUVERKpWKgoIC3nnnnfZukhBCCCEEIP0nIYQQQnReLQ5EqVQqd7TD7Tpqu4QQQgghOmo/paO2SwghhBDnDilWbqempoaamhrL76Wlpe3YGiGEEEKIjk/6T0IIIYRwVYtrRJ1rnn32WYKCgiz/4uPj27tJQgghxFlnzpw5hISEcPnll7d3U0QbkP6TEEII0TrOxT5ViwNRHbXGQXM9/PDDlJSUWP5lZGS0d5OEEEKIs87dd9/Nhx9+2N7N6LCk/ySEEEIIV5yLfaoWB6LGjBnjjnZ0GN7e3gQGBtr8E0II0XFMmDCBe++9t9n3i7YxceJEAgIC2rsZHZb0n4QQQrQl6T+dvc7FPlWLA1E///yzO9ohhBBCuMU333zDP//5zzbf75tvvklSUhJarZahQ4eycePGFj9nw4YNzJo1i9jYWFQqFd9++20rtV60Nek/CSGE6Ejaq//kiPSpzn1uqRH1yy+/sHTpUsvvubm5XHjhhURHR3PttddSXV3tjt0IIYQQjQoNDW3zUaMvvviCe++9l0ceeYSdO3dy/vnnM2PGDNLT01v0nIqKCgYOHMjrr7/eFn9GkwwdOpR+/frV+5ednd3eTRNCCCFEE7VH/8kR6VN1jj6VWwJRjz32GAcOHLD8/uCDD7Jx40ZGjx7NV199xYsvvuiO3TTZypUr+eqrr1i+fDkABw4c4KuvvuKrr76isrKyXdokhBCi5XQ6HXfeeSfBwcGEhYXx6KOPWmru2KeWr1q1irFjx1oee9FFF3H8+HGb7X311Vf0798fHx8fwsLCmDx5MhUVFS635+WXX+bGG2/kpptuonfv3rzyyivEx8fz1ltvteg5M2bM4Omnn+bSSy91uS0TJkzgrrvu4t577yUkJISoqCgWL15MRUUF119/PQEBASQnJ7Ny5coGt9PYa7J9+3b27dtX719sbKzLbe3sOupAnvSfhBDi3NTR+k+OSJ+qc/Sp3BKIOnLkCEOGDAGUg3vZsmU8//zzfPPNNzz11FN89tln7thNk91+++3MnTuXG264AYClS5cyd+5c5s6dS15eXru0SQghRMt98MEHeHh4sHnzZl577TX+/e9/88477zh8bEVFBYsWLWLr1q2sXbsWtVrNnDlzMBgMAOTk5DB//nxuuOEGDh48yPr167n00kstHbP3338flUrltC21tbVs376dqVOn2tw+depU/vjjD7c9pyk++OADwsPD2bJlC3fddZfl+3D06NHs2LGDadOmcc011zgNKjT2mgj36KgDedJ/EkKIc1NH6j85In2qzsPDHRspLS0lODgYUKJ5FRUVzJ49G4ARI0bwxBNPuGM3TZaWltYu+xVCCNG64uPj+fe//41KpaJnz57s3buXf//739x88831HnvZZZfZ/P7uu+8SGRnJgQMH6NevHzk5Oeh0Oi699FISEhIA6N+/v+XxQUFB9OzZ02lbCgoK0Ov1REVF2dweFRXFqVOn3Pacphg4cCCPPvoooKxm9txzzxEeHm55fR577DHeeust9uzZw8iRI+s9v7HXxBXTpk1jx44dVFRUEBcXx7Jlyxg+fHgL/7Jzy5EjR/jb3/4G2A7k/eUvf+Gll17ivffe4x//+Eebt0v6T0IIcW7qSP0nR6RP5di52KdyS0ZUZGQkR48eBZTimwkJCcTFxQFQVlaGp6enO3YjhBBCADBy5EibUbZRo0Zx9OhR9Hp9vcceP36cBQsW0K1bNwIDA0lKSgKw1A0YOHAgkyZNon///sydO5e3336boqIiy/PnzJnDoUOHGm2T/aif0WhsdCSwOc9xxYABAyw/azQawsLCbDo95s6as+yWxl4TV6xevZr8/HwqKyvJzMw86ztMraGxgbyG6mEIIYQQTdWR+k+ffPIJ/v7+ln/WxcWlT2XrXOxTuSUQNX36dP7+979z//338/LLL3PJJZdY7jt06BCJiYnu2I0QQgjRZLNmzaKwsJC3336bzZs3s3nzZkBJ5QalU/HTTz+xcuVK+vTpw3/+8x969uxJamqqS9sPDw9Ho9HUG3XLy8urNzrXkuc0hf0AkEqlsrnN3DEzp9fba+lrIlwjA3lCCCE6qtbuP82ePZtdu3ZZ/g0bNkz6VJ2IWwJRzzzzDIMGDeLtt99m8ODBltQ1gE8//ZTRo0e7YzdCCCEEAJs2bar3e/fu3dFoNDa3FxYWcvDgQR599FEmTZpE7969HY5CqVQqxowZw5NPPsnOnTvx8vJi2bJlLrXFy8uLoUOH8tNPP9nc/tNPPzn9/mvOc9paS14T4RoZyBNCCNGWOlL/KSAggJSUFMs/Hx8f6VN1Im6pERUeHs6qVasc3rdu3Tq0Wq07diOEEEIAkJGRwaJFi7j11lvZsWMH//nPf/i///u/eo8LCQkhLCyMxYsXExMTQ3p6Og899JDNYzZv3szatWuZOnUqkZGRbN68mfz8fHr37g3AsmXLePjhhxtML1+0aBHXXHMNw4YNY9SoUSxevJj09HRuu+02y2Nef/11li1bxtq1a11+Tnl5OceOHbP8npqayq5duwgNDaVr167Ne/Fc0NhrItzjmWeeIT09nbfffpsRI0bIQJ4QQohW1dH6T45In6pzcEsgqiGBgYGtvQshhBCdzLXXXktVVRUjRoxAo9Fw1113ccstt9R7nFqt5vPPP+fuu++mX79+9OzZk9dee40JEyZYHhMYGMiGDRt45ZVXKC0tJSEhgf/7v/9jxowZAJSUlHD48OEG2zNv3jwKCwt56qmnyMnJoV+/fvz444+WopSgFNO0XvbYleds27aNiRMnWn5ftGgRAAsXLuT9999v0mvWFI29JsI9ZCBPCCFEW+po/SdHpE/VOaiMnX3dwEaUlpYSFBRESUmJBNWEEKIV7dixg6FDh7J9+3aGDBnS3s0RHZyj40W+szsOeS+EEKJtSP9JuMrZsdIe39luqRElhBBCCCGEEEIIIURjJBAlhBBCCCGEEEIIIdqEBKKEEEIIIYQQQgghRJuQQJQQQgghhBBCCCGEaBMSiBJCCCGEEEIIIYQQbcLDXRv69ttv+eSTTzh58iTV1dU296lUKnbv3u2uXQkhhBBCCCGEEEKIs5BbAlEvvvgif/vb34iIiCAlJQU/Pz93bFYIIYQQ4pwmA3lCCCGE6GzcEoh68803ueGGG/jf//6HRqNxxyaFEEIIIc5pMpAnhBBCiM7ILYGowsJCFixYIEEoIYQQQggXyUCeEEIIITojtwSixowZw8GDB7ngggvcsblOqaamho8++ojevXszZsyY9m6OEEK0m4MHD7Z3E8RZ4Fw4TmQgTwghhLucC9+LonV1pGPELYGoV155hTlz5hAfH8/06dPx8vJyx2Y7lS1btpCVlUVWVpYEooQQnVJ4eDi+vr5cffXV7d0UcZbw9fUlPDy8vZvRbDKQJ4QQoqWk/ySaoqP0ndwSiEpJSWHy5MnMmTMHlUqFr6+vzf0qlYqSkhJ37OqcVVtb295NEEKIdtW1a1cOHjxIQUFBezdFnCXCw8Pp2rVrezej2WQgTwghREtJ/0k0RUfpO7klEPXggw/y+uuvM2jQIHr37i0dKSGEEM3StWvXDvHlKERbkIE8IYQQ7iD9J3G2cUsg6v333+dvf/sbzz77rDs21ykZjcb2boIQQggh2pAM5AkhhBCiM3JLIEqv1zNlyhR3bEp0cEuXLqWyspJrrrkGtVrd3s0RQgghzloykCeEEEKIzsgtkYSpU6eyadMmd2yq0zobMqIMBgMHDhwgLS2NvLy89m6OEEIIcVaTgTwhhBBCdEZuyYj6xz/+wbx58/Dz82PmzJmEhobWe4yj28TZxTpYdjYEzoQQQoiOzDyQJ6vmCSGEEKIzcUsgauDAgQAsWrSIRYsWOXyMXq93x67OKUajkY0bN9KlS5f2bopLJPgkhBBCuI8M5AkhhBCiM3JLIOqxxx5DpVK5Y1OdyqFDh1i3bl2923U6HR4ebnlr3EoCUUIIIYT7yECeEEIIITojt0Q7nnjiCXdsptMpLi52ePu//vUv7rjjDsLDw9u2QY2wDkR99tlnLFiwgOjo6HZskRCt72RxMdH+/nh3wOCwEOLsJgN5QgghhOiM5MqqHRkMBqf3/f7771x88cVt2BrnTpw4QWVlpU2WVllZGV9//TV33HFHO7ZMiNa1LTubJ3/9lVg/P14YP56goKD2bpIQ4hwiA3lCCCGE6IyavWpev379WLZsmcuPz8nJ4e677+a5555r7i7PKb/99hs///yz0/s70gjpRx99xNdff80XX3xhc3tBQQF1dXWtsk+9Xs+BAweorKxsle0L4Yp1qakAbDpwgFdeeYXCwsJ2bpEQbU/XwKCJEEIIIYQQTdXsQNQVV1zBtddeS9euXXn44YdZvXo1+fn5lulbVVVV7Nu3j3feeYdZs2aRkJDA9u3bmT17ttsafzZbu3Ztg/erVCpWrlzJG2+8QU1NTRu1qukc1bhyh/Xr17N06VLef//9Jj3v1KlTlimPdXV17Nq1i4qKCvc38CxTUVHB2rVrOX36dHs3xaKyro6tWVkd+iLXPBm1uqaGEuCBlSvZn5fXnk0Sos0YjEaOFBZyxdKl/HfbtvZuzjlDBvKEEEII0dk1OxD12GOPceTIEebPn88777zDjBkziI6OxtPTEx8fH/z9/Rk4cCC33HILpaWlfP755/z+++/06dPHne0/Z6nVarZs2UJBQQHHjh1rt3aUlpY2eP+ff/5JVVWV2/e7f/9+APLz8116vMFg4MiRI/zvf//j1VdfxWg08swzz/Ddd9/x4Ycftrg9p0+f5tVXX2XTpk0t3lZbMgeGV6xYwW+//cbbb7/dzi1SFBUV8cjq1fxj7Vo+2bOnvZvjVHVNDdnZ2QCsAI6WlfFQI0Hk9lSn1/PXNWt4d8eO9m6KOAe8/Oef3L9mDXUGAyuOHm3v5pwzZCBPCCGEEJ1di2pExcTE8Pzzz/P000+zefNm/vzzT7Kzs6mqqiI8PJxevXoxYcIE4uLi3NXeTiM3N9fyc21tbavtJzU1lYMHDzJlyhQ8PT0tt2dlZbF9+3Z27tzZ6DbeeOMN/vrXv7ZaGzMzMxs9hlavXs2WLVssv3/zzTeWn/PckMHy66+/UlxczOrVqxk5cmSLt9eaampq0Ol0VFVV8dFHH6HT6SxTHKurq9u5dcqqkK+99ho/mn7/oraWhYMGtWeTHNq6dSsbN26kvL0b0gSbs7I4XFjI4cJCbhwypL2b06Dy8nJWrlzJ0KFD6datW3s3Rzjw68mT7d2Ec9Jjjz3GzTffzCuvvMI777zD888/j0qlQqVS4enpafnONxqNnH/++Xz++edceuml7dxqIYQQQgj3cUuxck9PT8aOHcvYsWPdsblOyQDsBYIAf4CMjGZvq6SkhNzcXLp3795orSlztpCPjw8TJ0603P7OO++4vL/Wnvr27rvv8uCDD+Lj4+Pw/vT0dJsgFMC+ffvc2gadTmfz+/79+1m1ahUqlYrzzjuPMWPGuG1fRqMRvV5vUxzeFdXV1Rw+fJhvv/3WbW1pDfYZdDk5Oe3UkoZ9/OOPpDfzudXV1Xz00Uf06dPHrceGIwaDgf98+CGR4eHE9OvXqvtyxZHCQnbk5DAxMZEQHx+8NBrLfQaDge3bt5OQkMCGDRs4cOAABw4c4PHHH2/HFp8b8vLyMBgMrbqS6W0//MCLU6YQ4O3davvoLGQgTwghhBCdmaya10GkAfutfp8AxDZzW6+88goA8+bNIy0tjbS0NG688UabjCd7GzZsYMCAARiNxg4ZyCgvL68XiMrPz2ft2rUcPny40eeXlZUREBDgtvZ89dVXlp9//vlnysrKmDx5cpODR44sW7aM/fv3c8899xAYGOjy8/773/9SUlLi8L4SYA/Q/mGKM9MFLb8bDOj1ejRWAYuOYFULnrtlyxays7PJzs5m1KhRqNXNngXdoILKSt757TeWnDwJJ0/yP6tAVF5FBZF+fq2y34bcv2YNAJ/s3Uukry/vWq3+uWfPHn78UcmFi4+Pb/O2nav0ej1vvfUWAA8//DBeXl5u2W5dXR1VlZUEBAaiUqnIKivjg927uX3YMDQuHNPV1dV4enp2uM92RyIDeUIIIYTojFrn6kg0mf30nyzT/0bqX7g7otPpbFb0MgJrdu9m7ebNnMjN5cCBAzaPNxgM9bb7+uuv88Ybb5CVlUVTuVrLyZGKigp+//13ysuVV2HNmjUUFRXZPMbRa/Duu++6FIQCePnll5s0Lc1oNFJZWcnSFSt4YsUKChpZHXDz5s389ttvLm+/IXv37rVkjjSFsyAUwC9ABvATrh1PreHgwYNs3ry53u1VwA2vvuq2/eTk5DR7tcXjx4/z9ddft3i1RusMuv/7v/9rlazBtSdOcMWnn7Lkzz8tt22wmkp14/ff89xvv3HC7rPUlvIqK/nvtm3oDAZOnjzJd999Z7kvowVZnwB/ZGTw+b597XY8dyTWq5e6c3GLk2lpnMrNtTkfrz5+nEu++IJvDh5s8LUvLi7m+eef57///a/N7bV6Pd8eOkRmI/UHhRBCiNZ2tLCQVceOdci+REl1dYdslxDuIhlR7agWWAM46o4fRXlzcoFfly/nl8GDnU6zy8jI4Pvvv6egoABQglBHgO2HDlkes2XVKu6rrKR7UBCenp4sX74cf39/t/0tb775JosWLWpW1tGXX35Jeno6P//8M8OHD2fr1q31HvP++++zYMECfH19+fPPPwkODm7yBVdBQYHL0xxWrlzJ1q1bWQ0UAkF+fsw03bd06VKHz7EOBHY05slwOuB///sft9xyS6tl6Tjz5ZdfAhAWFlbvvk1lZW7ZR1ZWFu+88w7e3t489NBDgBIAy8rK4oILLmjwby4vL+fjjz8GqBcItVdWU9Pg9CTrz2plZSXbtm1j/Pjxlm0HBQWh1+vJyMjA09OTyspKsrKyGDFihEufy9NVVbyyeXO9oPGyLVsICQ7GW6vFw8OD3zMy+D0jg34REYzp2pWLevQgr6KCGp2O7LIyBsfE2Eydaw0rjh7lhyNHCD96lC6Ao1yd7OxsgoOD8fX1dXm7z5oCv30iIhgQFeWWth7Mz+d/27dz27Bh9AoPd8s2W9upU6eatAJbQ/744w80Gg3nnXceoKyaB8pgQWhICEajEZXpM7Rk1y4i/fwY27Wrw+389NNPgHLe1RkMPLtxIwOioqjS6fhk717e3bmT5fPnu6XdQgjR2dXp9dTq9fi5KSO2tRmNRspqawls56nei0xZ3P/dto1/jBvH0Njmzkdpmc2ZmWSUlnJZ796oVCrWpabysmmBpKv69+fKDlB6QQh3k0BUO8rAcRDK7KDVz1tSUxmRlFQvGJWTk8N7771nc9sGzmRUWR5XXc2Da9YwEjCXBS5rxsV/LUqgy9HXxrZt22zqTLkqPf1MJR5HQShQ6gq9++67aLVap5lNtUAdykHtqH0Gg8FpG06ePElgYCAhISGWdtShBKEASioqqEW5iLbPLnNl+47s3r2bP/74gyuvvJKQkBB0Oh0bNmxw+fnmYIm5za76NjeXi7Kz2632SGvWFDt+/DhgmxViDoCFh4czyElR9KKiIl577TXL786yAlVAXW0tl3/2GUvnz8doNOKhVuPn5YXBaOT9XbvoGxHhMGhco9Oxfe9e1nz/PT179sTDy4sDe/eiBzKBrcCYjRuZP2GCJWhlb/327fx+6hS/nT7tcEXLyspKSzZXjx49LLfvy89nX34+x0+f5ufUVMvtfcLDeWDMGMJ9fanV6/FUqy1t/+KPP/hw2zaev+QSQoOCOHz6NOMTE1E3UneutqaGispKysvL0el0qFUqamprMa+5NhWwD/GYV3NsSq0og8FAdVUVC955h8dHj2aug3OPwWDg4MGDqFQqKisrGTp0aIN18x78+WcAblm6lJtjYwnRaBg1ahRhYWEcPHiQtLQ0pk2b1qIgbmlpKT4+PvWmSufm5loClq4OEuj1ej755BPKy8up5kyK86lTp/D29m7SuaGiosISPBo8eDDPrDozObWqqoojplXzkpKSLG3PcJCFWVBQYNkOQDXwwu+/syU7my2mFSiFaE0VFRWoVKomBbbbgs5goKS6mrBWbletXk/dWRSQEC2nNxi47YcfyKusZEBkJNcNGkR3B4N+HcmLf/zBxvR0np00iX6RkW2672qdjqzSUtKtvsP0RiNP/Ppruw2QPL1xIwC9wsPpFxnJYqvVjz/Zu5eZ3btLfcZOzmg0Nlr7+Wwjgah21JSwxWMbN3JRfj7z+/cn3KoTk5aWBijBoTqUQElDE+s2AZGYCqI3kRH4zrSfuYD5MioTJahWmZZG4unTJIWGurzNVKuLYlc4C0LtNf0zGwsUo1zwmsc2lixZwjXXXGOzQldNTQ07d+5k9erVgO2FsHXNLlCyzBoaj3AUiDIajezZs4e4uLh6mUDmWlyvvfYaV155JeXl5Ww0fRGZt1dUVIROpyMiIsLmueaV5wAeeeQRPDw8OA3kAL2Ak0AREA0U2LUpFfhyzRpuueIKhxe8dXV1fP3113Tv3p2hQ4cCSqZIQWUl5yckNPAKuObbb79ljYPbd+TkMDg62nKSraurY8+ePfTo0cNppl1lZSWHDx+mb9++lJeXO5z6Z+Ys8Jqfn8+bb77pcvtPpqdjMBj4du9elpouzm8aPJh3TCtMfnPgADdY1TMzAuvXr+ehP//ktDlAdvgwnsDFwI+AeSLgOiBm/XrGjRtX78umtq6OW3/4weV2ZmVlERkRgafVxcjPdp+3AwUFXP/dd3x22WXc+P33VNbVMTQmhtuGDeMxUzDhsiVL8PL0JDEpiRq9nukpKQ3uN62Rldb2odTAcyQzM5OKigoiIiIIbeQ8kpaaik6vB+DRDRscBqK2bt3KKquASkhICMnJyfUeV1NTg7e5g2c0kpuXx9N5eVwJHDp0iL/+9a+WgGZ0dDSDBw9usG3OFBYW8vrrrxMQEEBMTAw6nY4FCxawY8cOS+2soqIirr766ka3ZTQamfT889TU1XEBYF4nVPXDDxiOHMGbpgX2rKeT3vPss/zi5HHFxcWW85F9nSi9Xs8bb7yBDshH+a5ZAwQdOgQqFWqVCm9vb/ILCppU/06IxpwoKsJTrSbGz4+XXnoJgH/84x+o1WoyMzPZvn07kyZNcmsmeFMcOHCAxceOcbyighenTGnVjMurv/mGKp2OLy+/HJ8GaoOKc0eVTkeeaRBqT14ei9as6fAZpxtNg9DfHDzYpoEoo9HIotWryeig08MLnZSGqNHrcV+l287BYDSyNzeX7mFh+DZwLjQYjVTrdA0+pine27kTo9Ho1tWrN5w8yeLt23nk/PPpbXdNeDaTQFQ7yUXJgHBVTk4Oa7y8WHPihM2Xi9Fo5ChwGCW7aoYL26oBfIDtKIGK+hMrbJUDZSgXFeZKJFtNtxejTPcCSE1PZ/Xbb/PFJZfQo0ePRqO2ZWVlllX7mssIbAGO291uXa1pgdXPH330EY8//jh1dXV8/PHHNtlYAB9//DGXXXYZBsA+72kP0BclK8aR3YcOwdKlDBk0iJSUFLZt22a5uISGLwo///zzerf99ttvlrpTDzzwgM3ornXGT01NDZmZmZbi2mpgp+lnZxW0UjMy+Oyzz7j55pvr3bdjxw4OHz7M4cOH6dWrF4cPH+bhPXvw8vamS2Ag3VzIsigtLeXTTz+lb9++9O7dm3CrTncp9YNjANcuWcLNgwZx1YgRhIWFsXbtWjZv3kxgYCD33Xcfer2e9PR0ampq6NWrFwCfffYZmZmZfP/99xhRsuLM40UFp0/z/cmTnEI5zp0dj4sXL27077FmDjh+uGePpYD+O6YvnbzcXEpKS9kLVADHgBMoAczTdlNJ64CvqG8ntqMeRqMRg9FIrd3KjY2pqKggtaKCiPBwgkxTWUuKiwkKDsZHqwWr1+MmUxAKYFt2NjcvX26zrdq6OjAaWbt/P6MiIqiurubzzz9n4sSJDBgwwNLOD3fvbrRdKtPfXgXYhyLeffddy8+NBVHMQSizH3fsYOfKlYSHhzNq1CgqKipYs8Y25FlQUGATiCoqKuLAgQP8/PPPZAOnAgKIsprmtwkYUFFhE2RuTiap+f3ctWcP1cpGLNt5+umnbR7bWI0+o9HI8uXL2X/0KDmm9+yE1f1LjxyhC+A4p66+tSdOkFNejqq21pL12VDOYlFREVqtloCAgHrZceZaVVtRAt6BKN8T5Q4yoRqqaSdEU1TU1nKPKeD83uTJltv1ej1qtdpyXqmurmbevHmNbs9oNPKfLVvoEhDAZX36NLtd5s99ekYG/1i6lH0omao/Hj3aqoGoKtN3RXpJCT3PkinG9k4WF/Pp3r0s6N+fhODgdm3L2ZCF0NHqCO06dYrF27dz93nn2RzrW7KyWJeaSo3d93dbqdbpuPPHH8ltIDP/LytW8PK0aWjdsPhQc5inxNsfcX9kZBDp50e4ry8pTRjw78yWHz7MOzt30j00lJenTXP4GKPRyMM//8yBggLemz2biBYu8lOt07HMVBpnUHQ0K48dw8/Tk/tGjWrRdl/84w8A/rlhA59edlmLttWRuOVTtn37dkvmhHDNHz4+YLeMfUOsAw96g8EyEn2gpMQmoHWQxq22+vkYcCnKgaDBcZDle9P/1vkGaU62XVVdzYeff871V11FioPMCaPRyGeffcbp06eZPXs2taZ9NicGbUDJxrIPQjVmw4YN+Pr61gtCgTK165dffqHYyXM/A5KA8zgzDeYkyut+Glh34ADTDxzA39/fUnzdkcOHD1MBnAISUV77hhQUFNDVQS0WUGqEffHFF5bfnbXdWiZQnZ3NTUYjR48eZfXq1VxyySVotVo2bNhAEUrWnHlkOQ3w0WrZl5FBUnCw0rlOT2fJkiVcfvnl9O3b12b7P/30E7m5ueTm5vLLL7/YZHg4637U1dWxdOtWiu2mZ5aWlvLSSy/ZTOm78MIL8fX1JTMzE1Be+90oGWETULLgbvvPfyxZcgtwHojSOQjwOOvSWd+ekZFBaEiIEmRTqSgrLaXENMJWBKy0emxTgs4HgTqdDm9TJtO/N21iXVoadbW1TdjKGfkFBeQXnAn9lZaV4eXlRULXrpSUlmI0GCA0lNraWkpKSigpKSHewbTNispKvj96lBO7djEA5fP34bJlvGQKRG3OzOQdq8LpDVmBkgUWCFzUxL+npLqaf1llDpr9a80apup0DdZMsu+sv/Taa9QAecBmgLIySq0CTWkoQdNF//wnnijTzNatW0dxcTGenp5Mnz7d6XF18uRJPD09iYqK4u233yY3N5flKEH92dhmpaahBFBjUC6Ws7OziXVSp+LYsWPs3LkT67DmDrvHnHL4zPp0BgOvbN6Mrq6OE6mpxJna0NjxmpOTQ0BAgM33RW1trWXxCHPeXcccb+5YpP/UMtuzs3ni118tv2/KyUGH0qep0+ttpsC6WsfxYEEBP51QwrvNDUTV6vXcvXIlGpWKE+nplmCxQa9n89atfKfT4REVxYXdu7styHGyuJiXXTwHd3QPr11LWW0te/PyGr3oqqitZUtWFiPj4tyeAfbp3r2sPHaMf0+bZjMbAZTvk925uSSHhLTrlKkjhYU8vn6927ZXVVfH1uxshsfGNvv1/Me6dQD8fe1anpk0iXd37OCmIUP4p4PyE64c/TqDgczSUhKCglr0efk9Pb3BIBRARmkpG0+eZIqD7GlXrD52jF2nTnH/6NF4NGMavzkQZd8Pfdtqqp67s91Ka2r4+9q1TEhM5PImnvPKamrw8fREo1JZ3puqujo+3L2bsV270reNp11aW2uaBXD09GnWnjjBJKsZMQA5ZWXcv2YNZab+9cb0dC7t3btF+8yzOr6sv5vuGDHCpibr9uxsgrVakpsYVCyrrSW9pISuQUEtamdH4ZZA1PDhwznvvPO48847ueKKK+rVvhD1abVaqpoQiAJlJD4gIIDy2loeXruWoTEx5LlhhSTzlI4UYITp51yUi3vrAEmei9v7ChiZluYwEFVdXc3uo0fRA28vWWLJCJmP4y+j3SgXM2Md3L8dLHVnmmLdunVMcxIZB+V1bmjNtFSU2lFhwGDgd6v7TgPpQHx5eb327ty5k++//97y+wqUbLJKoH8jbf7888954IEH2L59O0VFRYyyiqzbrz7mSrjCnO317++/p2zXLgBLrbFsYD3KhfJszkwbq6qu5qNly/DNy2Py5MksWbIEgK+++qpeIKrObpVBcxFwcJwN5Yi53peK+nWlrDPN6oBVVvftQAlEWV8EVwP/t3YtHhERnGeqnWQ0Gnnriy8oRQkCHAVCTM91GoiyC2ScLirCw9OT4OBg9FYjfMdc/BudyS0sJDIigk/27OGXEycoLS0lN8/VT2DjamtrKS4utgSo/Pz8bKbU5ebm1nuOOVNnHzAAJVsoDdi9ZAnXDR1KdXExeS60UcWZY6oUJSjalGplH+zezcGC+kdReU0NB03bTweCgCggAeUzmw8YVq9Go9EwbNgwVCoVX+P8vbZsF9ugohewcudOtECv3r1JSky03Fer1/OPX34h3s+PQtPUxhtvvNHyeppDXGmcyST1QMm2BJhkavMbb7/Nhddfz/AuXWw6LrV6PRsOHMBgtS1HXB0brzMdszk5OYDyXmS6+FyAz/btY3BMDN1CQvjmm284fPgwOU14vpD+U3MVVVURrNXadPQBXt+xgyygCzD3q6/4l1WGlKu13WqsBif++euv3D58OIHe3hRWVhLjwoIsRqOR5YcPk1VWRkZGhk1f7/Tp0xwrKmLXL7/Qo0cP/Ly8mGB1Dmkqo9FIRmkpcYGBPP/77zbTjUqt+ocnioo4kJ/PxMREfD09HV7M6wwGDEZjqy9gYW73o7/8gtbDg0cdTEU3XxiW1dZSazpPOWvX87//zs5TpxgbH8/fxo5tcdtKa2o4mJ/PsNhYPtu3D4CP9+zhyn79yC0vZ2B0NAA/nTjBf7ZsIdLXl3cvvtilbacWFbEvL4+ZPXo0Wm/RVS/98QflzRyocuTfmzbxZ2Ymo+Li+Pv557doW3UGAw/89BNGg4EFH3yAn58fQc24gP73n3+yIT2dW4YMYVbPnjb36QwGVh87xsDoaOKaMeW7urqampoaggIDLZniehczzOr0el7ZtIkhMTGWIMfrpsHUwampTG1GMOv3jAxGxcc7vM9gMKBSqThZXExXF4JyOoOBg/n59I6IqBcUMxqNfH3wIEnBwezOzeVkSQkf7N7dpEBUfkUFN5iuawK9vRkbH09maSl7TH3BH44e5fZhw7iwe3eXt+kuWaWlpBYXW35/ZfNmugYF0T0sjNSiImr1ev5qVc/SHdYcP85/tmxxeJ85wFhbW8vOo0f55+7dqFQqp0HFwwUFZJaWUlpTw8SkJJv77vjxxw4/9dZVbglEvf/++7zxxhtcc8013H///dx8883ceuut7VYM+WzQnK8f8yj0+rQ0MkpLySgtZZRVLRpwnqnkimPAQJQAj6Pt2NdMasi+khJmObnvW9P/1hWTDChBr1zTfoYBWqt95qFcoFWgXGTqcD0IdRqwjzcfOXLE6eMPHz5MYyXDS03/HFWs+g0IBsagXAxXmdpa8f33mBM+CzhzIboXZcpfQ13kqqoqnnrqKcvv1lOF/vjjD6zXeGt4Yo+tZbt2Mdnq9zpgl+nnclM7rSc37QFe/f13Cmtr+cPU7iCUrKLy8nKCTSn0RqORHJTX3X6csKFsCxXKRXQZ8APKxURPlNcwEdvPTSZK9pd9SKKU+hki3yiN4uavv2bX3/5GdnY2ZXV1vHrY8eRFZ+9Ffn5+vdvy8vKUaW9WU42aEyC1NnfxYi654AL+yMwk7eTJeoE9d7DOkrLPFKh2IcCdZvo/KzOTTz096e9iUNw+0LEBJQgeiFLfzGzVqlUkJCQQHR1tU3Q7r7TUYTZjNWempIJyXBwH/rC6LQoliLlx40buuOMOlwM21mo5E+zdfeoUSYmJGI1GCgoK2FtWxuYTJ/j21CnGAQHAmjVr+M30s9ke+42arEXJ6NsHbF+3jvkDB7Jw0CBOnDjBR+vW8Zta7fBvd+b1119n/vz5DleqBKWTqtfpqHJSe68hRqORnPx8Ln/nHT6fP5/Dhw9Tg1LnTLhO+k9Nt/bECV5poB5gHcr5KbKsjBd++w3zZaurmRQVVufbLdnZ1GzaxOmqKjJKS+kRGsp1gwbR38lKnRW1tby1bRu/mgL79gOOBrsL3DSrC6Xm+PbQId7btYsp3brZBJ4AntqwwXKxYp66+L/t25mYmMgiB9NE7l65kuyyMj6//HK3T0v6ZM8ePt+/n/tGjuSCpCSKqqstF6vltbU2GUWLt2+3ee5lpvp8T4wf73BFs52nlBzQ3zIy+Jsb2vrXNWvIKS9n4cCBlttqdDrLlPUXJk9GZzBYLjjzKivJq6gg0sGUnj25uYT5+NDFFCC52/Q+aNTqFl2cF1dX89bWrXhnZLA3K4uwLl3qHd8v/v47fx092ulxbzQa+SMjAyPKcTnOVAP0T1Omufl/dygpLaW8vJzy8nK8PD2VsgYNfB7LamowGI0EabUAbDB9732ydy8XWZX+MBiNfLFvH5/vV64WPrjkEkLtrovM3ty6lZXH6g8Tmr9TPTQa/Ew15N7YuhVfT0/La+KI0Whk6YEDbEhPV/6dPMnDVoG7itpaKuvqqNPrySoro2dYWL26io5szc5m0erV9W43GAwcO3YML09P7ly5stFzEcDb27fz47FjDI2J4dahQ20C6fvy8vjAVE5hnJMZF4359fhx0tLSlJqPoaH86OD1fWvbNgK9vanT6xnbtSuHCgrYnJXF1QMGtOr0x9tWrKh3W6YpUL/IrmyD2ZJduwjRakkJDeVIYSHDYmMtx6ArPrArT2EwGCwDIJ/u3cvlffrw84oVrNm7l5LISIKDgliXmupwISDrINl7poQBa2fDlGFXuOUIuPbaa7n22mvZunUr//nPf3jppZd4/vnnmTVrFnfddRcTJkxwx27OLS04eCpqa8nOysLb2xuDk6h5c33tpu3s2bePn4OCuOCCC0hPTycmJgZvb2+bui7Wl75FKIGptabf7UsylwARwM80XL/EkVXATJRMnxCU+lhNLZLujLPR/2KUjKcFwEaUi+J9KH+DHiU4Zi0NJQOpHOVDWQn0wHlAZJNpSVez9U1st5k5f6UO2MaZKTWW/Th4zhHgMdOIzymUqZ3/+te/ALj66qsJCAhg1ZEjbEJ5vc11y2o4E3xrqD3fc+Y9zuJMYO1PYAhKsEIPDQYLDzm5vaa2lie//pojBw7g+NJc0bT1D91f76YY+H7XLsLCwlolCGWvrIFppI5Yfwb1BgOZWVkca0Yww8zcdTkEXIASlNq8ebOl+Ly5XtTRwkJW79vndNGCxtSgfLZKy8qcTt9riofWrEHj5YVXSQmbNmxA27cvOaaLIvPxqcvIwPXQkRKorQAK0tJ4/fRpvv75ZwoqKnBtUpHCgDKgQGEhua+/zl23306kVXq8Tqfj448/JrekhOPNvBA+evRMuHXWu+8SQP2Av2ic9J+azrwwBCgd/aqqKjQaDUaDAbVV1kxeXh7GmppGA1FGo5FTp07xU24uy48epdpuuvZuqwzRwwUF/H3tWpYvWGC/GSpqa7ny64Z7UU3NhG+MOWPHPJXQFevS0mwCUXqDgb15eZZsqjt//JFHx40j0U21mdKKiy2Bgn9v2sS4hASb7OLVx49zUY8eaD08yCkrY7mTgcInfv2Vh8eOZXQD/d5qna7exe3mzExiAgJcnsqSUVREdXU1K6za8ZtV5vnevDw+3LWL2ro6yyIXN37/Pc9ccIFNUCC9pIRHflGWfbDPXjhaWAgtCEQt3r6dPzIzOXL0KN6AuqiIkOBgVFaBjg3p6dw4ZIjTwMx3hw/zrtVnqVavbzDw0hLWg6cZmZlERUYS5OT40hsMLPhGmavx/sUXk1dRQVVlJaeLioiMiOCfGzbwD1MW3WPr1tl8Phd++y03Dh7MxMTEegEER0EoazW1tViHEl/84w9GxsVRWlNDmI+PTd3OFUePsvrYMdKs+n47Tp1i7tKlNtu888cfyTcVH5/Tqxc3WC108ttvv7Ft2zZuuOEGm8U76urqyCotxWAwUFxSQkBAALU1NWSZai3WmvqER06f5u+//NJgZow5MLQ9J4dbfviBLy+/nFc3b8ZoNDLWKvi0wWqA67XNm7lt2LB6GYiFlZUEeHvjpdFwtLCQUB8fDh86RG1tLQUFBTYLzOjq6sjNzSU4JAQ/Pz+e/12ZO5JZWsqXppXHDUYjt7gwLX3VsWPkVVRwjakMREuDL7+npVlKctTV1uJjN+X2ZavrqyBvb16bMcPpZ6ghZWVl5OTkEBERQUhICMsOHWLZoUPEHTlCHcr3U3l5OS9v2sTLmzYxq0cPSqqr8fX0ZJhdwN1oNFoG6jMzMvDy8kJvNOIhgShbw4cP58MPP+Tll19m8eLF/O9//2PSpEn07t2bu+66i4ULF6JtQmRR1FdVVcU/v/0Wg9FIeUUFu0/bhzQ6hnxg3e+/ExERwbfffkufPn0YNWoUn5lGtuw5jk2fsc30r7ns4+LzcF6XqWkloRt2ENuMnfr5NApHAR8V0NPB7Y60pGu7lDNF6O01VuOlGqVYfBJKZtRXX31FdXW1JaBlnanlapCzoUDjDpTgVmMZaw35/IB9GfqO6fTp0x12ms53dr83NzBkrxLleJrs5P5Fq1fbTIFsqu2mfwArnGTDNYXRaOSvplHyucCW/fXzRpv62bQ+/ktLS5tdZ8n813kAb731lk3x9927d3Py5EmbacUtVUbD0wUd+WLrVuYNH+7GVpy9pP/kOo1V5zv31CmbQHoXuw58kdWFonlkutxUYyOrtJRhsbEc3LmTH376iZ8CAoiOiXG637q6OlJTUwkMCECv15OWlkZ8fDxeXl6UVFezePt2qqurOXXqFBEREfg5yJCpsctaKi8vR6fT4dGMzIDM0lJLYXJnKmprbYINjvx49CiLd+ygrq4Oo8FALnDvqqdJiaAAAHF6SURBVFV8e+WVNo8rqa4mr6KC7k4yLJ0psFsF7NtDhxhvFfD4YPdu0ktKWDRqFHUOVh+29uxvv9lceK9atYr8vDwiTIH2q775hq+vuMJy/9HCQp421RRcPn8+W7OyiA0IIFirxc9qRVlraWlpGIxG9AaDw2lkBqORjMxMqquriY2JQevjg06nY9WxY5ZA1K5Tpyx1kkB57cwX4+B86ledXo+nC1MjrV/TGqCmoICCggK8vb1Rq1REREai1Woprq52eBGdVVpa77h4dfNmXm0g07Al7C+Xc/Py8A8IQOPgb7UOBF/33XdUVVaSYcrOOqXXs9XLi4XffsuzkybZBKHM3t25kzXHj/PmzJlNaqPRfOwZjZSVl+Pj42PJxru8d28WDhoEKIHp/9ll7Tny3q5dVFZUoFKp8PH1ZdmhQwyMimLZoUPcc955rF2rDL2vWbuWUtP03NLSUk6dsq3yWFJcTJ3d57y0tJQAf39QqfjbypU8csEFBLpQpyytuJhV+/dTXVND2ubNVIeGorU7Pn46caLeQg05ZWXc8sMPhPv68uKUKZaMohFOAiF5+flUVFZSUVlJD1M5DIBN5iw7o5GcsjJ0Oh1VVVVOV8YGJTsNlGN2d24uz02e3OwgudFo5J0ffrC5FlMB0TExltfTWklNDQu//ZZvrrii3ueyoraW3bm5DI+Ntdxn/WxzyYP8/HwCAwIoLy8nICDAZkXiyspKS2aTdQB+1fEz1Y+NRiOpJ06gUqvx8/Wlqrqaqurqetm1Z6tWyYnz8vLC19cXLy8vjEYjlZWV3H777Tz99NMsXbqUkSNHtsZuzyrnh4fzXTOCSPb1gJxN8WhvGShZHXGmKv8HDhxg04ED9aZMtZc6lEBUKcqKU71QpgJC/dXyWqLh7l/D8jkTiCpDyZhydMpvavaOvZbm2xzjTEZLfHW1pfizWTVKNpi7rG38IeeMAge1kM51eSi14cyTIuqA5xcvprBrV3JOnapXL6y53P0VfhrHtcFaEjR1h9MowfW04mJKi4tZ+sEHBPv7o0NZaKE9fbxqlQSi7Ej/qWnsszlrG8ggValUZJSU8NeffrKsEhrp60vPw4cxomRKGoxGYmNiHGatF5uyB0vLynjmmWcwGAykpKRw1VVX8d9t2/gtI4OsrCz0ej1ZWVk2F2COVFRU8PPatRSuXcujjz7q8KLczGg08vGePSQEBzMkJoZP9uzhB6usRKPBgJH6dbC+PXTIYbZUVmmpZbrYCtN2Tp48icFgICkpCUyDIDU6HZ/s3UtGSQnbTBdWL06Z4tKqf5s2bUKr1eJhqqlk9sHu3ZxvNxVoXVoaFyQl8cLvjYfH1544wcSkJKqrqnhl82Yloz4sDLVGQ41OR25uLpGRkahUKnKsjo9dp07xlFWx7DcvvJDTVVUcKijgir59MRiN/GvjRssFXkV5Ob4+PlRWVhIYFERtbS2lJSWWjClQppxlm16XH3U6piQnMyg62iYIBUrW116rGorr0tLwUKuJDwxkTu/eLDt4kC1ZWRwqLOSa3r2ZGB9vMyUdlAvfrw8etATxHGVLmwOdWZmZJKekcM+qVdw4eDCX9Doz8b2gspIHnNTGyT11ijqdji5dulBTU8Mnf/7JnydP4nfsGMN79WL69On4+/s7fK7Z3txcjEYjNdXVeGu1qKi/yi0oiwP5+/tjNAV/dTpdveNXr9NZglCg1CrNz8uDyEhuW7ECg8GATqfDyy6omFFayrMbN/K3sWM5XVjoUqC38PRpUKkwGAwUFRXh7+9vWTTkq4MHWThoELV6PTtyzsyFqK2tJScnh9DQ0HrBFL1eT6aptmaX2Fh8/fy47/vvKSgoYEt6OsEo5S2WHTlCqel4crSggn0QCuDUqVPUhIRQW1PD0aNH8dLr+edFytIvRqORU+XlHNq2jaKiIkJCQigrK8NDoyE3P9+StV0OZFVX26wkbHktqqrQGQykFRcT6uNj+ZsLKiv5q9W0thUOAoGgvG/1GI0Unj7Nqfx8KisrqdPpuPqVV6ipqOC1W28l3u48Ye8P03HwxpYtvDh1quX27OxsMjIyGDFihE3WmiO1Ol29hAAjStCowMODhMREh7UEy2prCfL25mRJCd8dOsSC/v15ZdMm9uXnc3HPntw0ZAhGo5ESq4EGcwYTQFZ2NtXV1VRU1q9AfPToUTw8PAgODrbJKjOrqalRPj96PcVWAyt6gwHaoJ5fa3NrIGrPnj288cYbfPrpp9TW1jJ37lw+/fRThg8fzp49e7jlllu49dZb2e3CEt/nOncVKezIysCSvVCI7Wp97c18cliNcqFbwpnlzt0ZNGmJdJRpcEdQAmZ9sb04Xw2E43wVuvaQ4eC2bxzcJlzTkuyfs9l+lJpg+zAFS3JyCCwvp6ysqTk3baejBkhzgC+BNR98QHFxsbJSYXl5k2r+tRZNI9kPnYn0n9ykgVHiTZmZfLtihU2QKa+ykiSVyvK9X15ezvETJ4iLi7NMuwLlwsp6Wt0ug4H+KKtYrlmzhnU5OVRVV9ucs9PS0hpsal5eHlkog06ZH3/M/6691mnfcFt2tmVKy+W9evHOxo34+flZLn5PnDiB3mCge0qKzfSszx1kaYJSP8W+5pJ5+lRNTQ2enp78mpbGSw5W4fto924eHDOGQG9vVCoVu06dIqOkxKaIdElJCatNdW4uvuWWetu4yZRJas0+eOPMK5s3k1NeToBabcm+Nr/rOdnZ/Pe//2XmzJkEJCbypdXfv9fuovmHI0csU5fiAgMpq61lq2n6k3mbqab3UK/XU2AKEiy1yoaxfreys7N5ZO1aVlx1Vb025zsYQDEHCBOCg3l72zYMBgOenp48vGwZC4AHHngAX9O0oYP5+Tz488/K/g8cwNuUneeM3iq7592dOy2BqH15eTy81vbbqrSkBIPBQEBgoGXl36zMTCqrqnjKasqWfv9+9u/fz7XXXqsEK638mZFBSU0Nw2Jj+fsvv5CXm0tJaSkhISEYjUZLENdeeXk5B0+e5Nvly9m9Yweenp7cdf/9lrY7unAvKi4mJDSUnOxsS33DLl261MtA/CMzk4s++YTo48c5BITZBYbr6urIsquDVVhYiKcpaFVeXq6cT1QqMBpJT0/n3uXLqfT3R+PhQW1traW+VE5ODjk5OWg0GuVz6e9vExzLys4mNDSU06YEhJMnT3ISpV9/qroaX1N7mlKKoajozJyD/VbB5q8PHuSdrVvRpqWRD/j7+1uyc5787bczbcIqC8zO8iNHnE6RzS8vJzMzs15Asq6ursEs/sqqKo5Yvd6FBQWkmj4Xz6xdy1tWn5tfUlPZlJmJv4OsxXLTAgZeGg3F1dXc+vbbpAP/9fIiMSWF4upqejoJlDsrJA5KwK+srIygoCAMBgPV1dX4mKZk1ur1/GXFCrJNge0TRUWWaZnfHT5MbECAwxpxZubAtbPV1HU6HQUFBXh6euLv52dzDnfG1YL6HZ1bAlFffPEFb7zxBr+bpmItWrSI22+/nWir6OaAAQN45plnGlytrDPRdIJAFJyJ7nekIBQo03/O40w2kDnvxHFsv/1YT0fcD3QHfFECPuaC6UKci+yn0xokaNEilmwOlPNHRwhENX1h63OP9J+azmg0UlJSgq+DKUf5dlmkOpQs51Mo02SDqqvrTUX5ra7Opj6iXq8nJzubRKuL7dS0NJtz0D6UfkMJkPPnn/XqK4KSLdEQ80VnAbAhLY3/fPMNV0+YUG9xga3p6Tz888/4aLWgUvHOpk3KtN3SUgICAjCappGBUn8nOjoaL0/PMxeGKhVGo7FeDa0nfv2VOyMj2bZ9OzVWF5DZ2dl07drVYRAKYE9eHlcvW4bWw4NRcXGsswq4Xdi9O7q6On61Ws1Q3wrn7i/277fUebFWXlHBFqBixQp+Dw+3yTDYa7eqqxHlva6prmZjejq/ZzgaSlNUWgUhqxwER8wyMzN59Jdf6t1umWpjNGLEts7NKVPwE1CmB5mcPn3aEoh68OefMRoMFBUX4+fnR7qTTBRrFeXlnMrNJTo6mtNVVYT6+LDSLouupKSEPNMiLHlWi7FUOqhlthyl7umHH37I1KlTGTVqFMXV1Xy4e7clqHarqeaPOaBlHSxx5nBeHv9KS+MilM9EhWnfp4uKnGaFn7DL8isrLcXX1xejwYBKrSYnJweDXk9ERIRlCnqo6T6zgoKCBjMoQaknm5CYSOqJE7x29KjyvdlAprper7d8NhPs6m2VOAjGnUY5N3WjZbVrU01TgtesWcP7NTV4eHpy0KpNlvZZfRZzUAKpZWVllJaW4uPjg5+fn00A3pHikhKqa2qorqmxydpLTU3F09OT4KAg2wVQTMG8GrsSDtbn091FRfx32zZuGzYMgGfWraOurs6mdpZZZlmZMmXSaFSmMppu//7wYfYdUirEdtFoqKutxdM6kGU0Ojyubf62oiK8vbzIz8+nqrqa4OBgIiMjyauosAShAJvaYKAUZI+3b6spgNkUOTk5hAQHExEZSUV5OVXV1U4L3DvKMjwbuSUQNX/+fAYPHsx7773H/Pnz66VImiUmJnL11Ve7Y5dnvXOh0r0rvqN5KwS2tiyUothmapTMC3fWTGkN36JkijRlZTwhzgmd5JzZFja2dwNM5B2V/lNzFBQUkOvChbjZLqufA+wuDIqLi8lzcDFaW1dnmdYCjgPh5gsgd60UuX3fPor37ePBBx9Eq9VSWVeHn5cXN3zyCbW1tURHRREYFFQ/U9bqb6quriYjPZ2AgACKS0oICw0lLDyck2lp1NbV4aHREB4eTqCp9tGzv/1GFUpxYWvp6emNTi2s1ulsglCLd+wgt6KC8PR0m8w9o8FAcVERGg8PpfCyacGdkNBQggIDlQwsLy+bKTFGo5Gamhq8TVlXdXV16HQ6ZbU1lCLDRVYX9hUVFZaMmGOYVtS1K6B80FS3xtvbGw8PD349eZKTJ0+i0+n4UacDo5Fcq2CV9TTwSqvgk03wwu57qbq6ul7doorycopLSoiKiiL31CkqKiuJjIykuqqK6upqfio9M6TY0MIhp0+fpvD0aQoKCpyeJ6yZi1tnZWWx8Ntv+XbePEvGXUFBgSU7pzm+W7MG78REdp86ZTP105XaSfass550wDbTdLamlCYoLSuj1EHGtPVCMkajEaNez6lTpwgKCnI6fct6KlydTkd1dTV6g4H6OXwNM9h9Th0FZFeZ/s9sIAjqqhf/9z8CqX99kGOV5VdWajt8reJMLaOKigoKCgro0b17g/0t+zp31urq6uoNBhw5ehQPjaZe4KTcLktwxdGjzOnVi4fWrrWUofHw8EClUlFVVUVpaSlhoaEEmAI+JaWlNt8DeqORgvx8ThcVYc7lSkxMJC8vjwB/f8orKhot7VBTW0u61XtRXFyMv58f73/yCRUBAZZVFevq6lCr1TbTqc2LPeh0Ojw0miYHocxKy8oIDQ21fH6dqZNA1BlPPfUU99xzj8NiY+Xl5ezYsYNx48bRrVs3lixZ4o5dnvU6SwfcPdVcWof1WFoVHT8IZZbW3g0Qoh04S2kWZ69upgKtndmGDRsYO3Zso4+T/tMZLTkX1NbUWLJMQJke50x+fj7+/v5ttmjEfpTMiMtfeAFjcjIajYZ/jBtnyaw6lZvrcOqOfdFavWm1LVDq3hiMRkvwRKfXcyo31xKIcrbyL+ByEfW6ujr0Oh1aHx8W//orQ0tLMefzGYGjWVmWbJuAgADy8vKoNa2qZb6Q1Gq1dLWqG5WXl0dJSQlhYWF4e3lZ6jCZA1H2qw/aF3g2V9oxGgxkZWej1WrRenuTnZODCujeoweVtbWWrKrysjKH08Aa48qxaL6gzDcFwsx/n+V+u7Y7Y70oSGPZdvby8vK4fOlSdKZgSHODUHUoK7umAfvXr2/WNux5eXpSW1fHcpRVrX/48Ufi4uLcsm3rmjpGlMBUeUUF5RUVNtlnDWnoHNGQDLtpfw1pLFPHlecfBRytQWcdWKu3HwdZOydSU0no2hWdXk9dXV29KXhab29LmQRXr2Ubzd4xtWHx1q3st8oMy7R7DXNOncLLy4vKqiry822rPX3nYCphdnY2tbW1NoHkpsrMyiIToKyMHj16YNDrLdlr9sF6c2F9by+vZtch1ev1lgzJhpwrGVFuyYx//PHHOXjwoMP7Dh8+zMSJE92xmyYrLy/n3nvvJTY2Fq1Wy6BBg/j888/bpS32OksgSgghhHAk2EHafWdjMBicXsyWl5ezYUPbl7vvyH2nlsrLz6empqbBUX1rqampHHFSK8XdylGm+h0DqquqMBqN3P7ZZzaPKbQLINTU1HDcaoUlRxxNjzpy5IjjgsJWTpw4US+rw0xnyhQBSEtNJT0jg6KiIkpKS/kFZSXgEyi18/5rlR1VdPq0w4vC6upqZV9GI4WFhZZMlsLCQksQCpQAlH0QyhHzReDRY8eorKzk9OnTliCQEeVzl2qVzdWcIFRT2WedmTmr+vbTTz+Rn59/JnOnBVnBxcXFVNXUKAW0mxAgsXeYM4Oh5mOjqrKSY0ePcuTIEcrLypqcCWIOkpahLFZSWVlJsQtT+pqqwLSyoFlD2Wc27Wti0K+9HAaaeqZylOmp0+k4fuIEJ0+etBQCt2Y9vdddVYpKSkqoKC9n42+/2WSxOXIyPb1eEMoZd793ubm5tkEi04Ii5nOSOfhY0wbHjGREWXGW3ghn0tfaw6WXXsrWrVt57rnn6NGjB59++inz58/HYDCwYMGCdmmTWWcoVi6EEEI446z2QWcyceJE/vzzT0aMGFHvPvNAXlsvWtCR+07g+gWkMydPKutFOlotqr1ZQi4qFWVlZfWmr4BtMKol06tcGXU/dvw4XWJj8fP3p7KiQinaXVBgybKwXhnK+uLwhOkfQITV8Ws/bcd+X5GRkQ5XDnMH6wvcVFNx99Zgnlao9fa2mT5YZVcjpyGnAWN6Ope/+SYDTCuLOqqJ1RQZGRkt3ob1St3m98s6Y8g6aNgSeS4GGpqisQDHuWBb4w9psqqqKiWzMCsLXz8/m+lortQAc4VOr290KlpHYH8MZWVnW6b7OZoV1pocraZ4Nmp2IKq0tNRmFYRTp05ZVg8wq6qq4oMPPrAputlWfvzxR3766SdLBwqUDt/Jkyd54IEHmDdvXoNL5ba2c6PWvRBCCNE8MiDT8QbyOnrfyZ2askJVW9lp+j8rK4tg0/S5hrTFSqJZ2dl4eng4vPBxpS/ravYCtCyw1hStFYQCZTl2AG8vr2ZnRqwCRqHUIQssKaGurs7lLD5nWhqEcqS509bE2eWoaXXJlk4hPNdY15xq61WdO30g6t///jdPPfUUoBTenjNnjsPHGY1G/v73vzd3N822bNky/P39mTt3rs3t119/PQsWLGDz5s2MHj26zdtl1lDnUwghhDjXdZZFO+x15IG8jt53cif717yjKe5AGRxtddHTGsGS9tLS6TnmNQvTT56kuoVBKCHEuaXTT82bOnUq/v7+GI1GHnzwQe666y6bQoMA3t7e9O/fn/Hjx7e4oU21b98+evfuXa/Q4oABAyz3t2sgqt32LIQQQrS/zpoR1ZEH8jp630mIzkaCUEIIe62Z1dmWmh2IGjVqFKNGjQKU1LSbb76Z2NhYtzWspQoLC+nWrVu9281LuTqbg25fxLLUbqlLd5GMKCGEEJ1aJw1EdeSBvOb2naAN+0+tslUhhBDi7NDpM6KsPf744+7YjNs1lPbv7L5nn32WJ598srWaZCEdKSGEEJ1ZZ82I6ugDec3pO0Hb9Z/UDpYcF0IIIToL3TkSiGp2Fcz09HRLocf09PRG/7W1sLAwhyN35kKI5tE9ew8//DAlJSWWf/bLVgohhBCi5TprjShrjz/+eIcKQjW37wRt1386V4qlCyGEEM2xroPXOHRVszOikpKSLEsOJyYmNtqhbOvlh/v3789nn32GTqezqXWwd+9eAPr16+fwed7e3nh7e7dJG4UQQojOqrMGotLT04mJicHT09OlgTr7aXutqbl9J2i7/pOUNhBCCNGZlbdwMYSOotmBqPfee4/k5GTLzx2tQzlnzhzefvttvv76a+bNm2e5/YMPPiA2NpbzzjuvHVsnU/POBp5Ax1vcueW6A0fbuxFCiE5Po252UvZZrSMP5HX0vpMQQgjR6Z0jAzLNDkQtXLjQ8vN1113njra41YwZM5gyZQq33347paWlpKSk8Nlnn7Fq1So+/vjjdk/tlhG9jq8n0AtIBba3c1vcKRwJRHVWM4CV7d0IIUw6a42ojjyQ19H7Ts3h5eVF7TkyeixaLjIkhLyiovZuhhDiLKD19iY4JIRTp061d1NsnSNxBLcUK6+rq6O2thY/P79691VUVODl5YWnp6c7dtUk33zzDY888giPPfYYp0+fplevXnz22WdceeWVbd4WexKIOjt4oQSkkoCv2rktDYkBclx8bGtf8ngAulbeR0c3BfjJjdubDOwB8lq4nRA3tEU0zg+oxTajMh6QioO2OmsgqqMP5HXkvhM0vf/kodHQ2cNQ/n5+lFdUtHcz2kVgQADRMTGcOnKEsUBw376sP36c7BxXe01CCHfr1q0bKpWK48ePt3dTnIqIiCAkROk5F50+TU0HGtAIaIe4SmtwSyDqpptuora2ls8++6zefbfccgs+Pj6888477thVk/j7+/Pqq6/y6quvtvm+zzaBgYGtttTy2cq6q+uWD0orSsT1QJT13+UPlLu5LQHA2TDW6AVE0TrBgQg3bmuKaXuTgU/dsD3JDmhdfsAFKCuBbAbMY2jnA1tp/2zEWcBGlCm6UcB+IJSmZX0GAo19W/gAVY08Rt1Jp+ZZ64gDeeda3ykkJITKqsaOxjPUajUGg8Hyf0O8vbw61MWJPfPfEB0djUqt5uhR5Qzk6emJWq2mpqbGpe0EBATg5eXlsJB9U0VFRREYGEhxURH5BQUt3l5DvL28eGrWLPpGRuI9dSoqvZ71+flsy8sj2ceH4ydOtOr+XRUbE4Ovry+ni4pQq1R4e3uTlZ3d3s1yqEuXLtTU1FDQyu9dS40Ffmvlffj5+VHRgQO8kRERVFZWdsggtIdGAyoVPXr0oKamRjmm8vM7zGpw4eHhliAUKOet9A60gNmspKT2boJbuOX6ev369Tz33HMO75s1axYPP/ywO3ZzTmm4a9P2oqOjKSsrc0um1jRgdcub1GacdTZjY2PB1BHoSOP2sYB19yQGcHWyRB/T80GpgTUK92buAGjdvL3WchnK+1oAePn780O5e0Jyo92yFeX9mQn4mn/39IS6llctCw4ORqvVtstqpp3BJJQAL8B4lKBPpOn3oSjBmWLcHwB2VQBwodXvo0z/e5ruOwkcMd02FSUTzz4h3ZVy1BcBSxt5jK9HRw/xt76OOpDXkTW1l+Lp5UWXLl3Iyspy6fFJiYmUV1QQEBBAXl6e00G6uC5dUKlUFBQUUFVd3cRWuSY4OBiVSkVRM6aSBQYGEhUVhdFotAR9u3btSnlZGaFhYahNganG+n09uncHU/ZiTU0N5eXl+Gi1aDw8KG/i92ZAQABBQUEAhJhWYKytq8NoNLbKYGjXhASmpaTYZF9eEhaGwWjkk717WxxIDAoMpKq62mZwZ0pQED+VlADKggyu9Kv9AwIA5eIXQK/rmHnlkRER+Pn54efri49WS0ZmZns3qZ7xnp4MSkkh/+BBJgM/t8I+NGo1Xbt2xdPLi4L8fE53wKmeyd26odFoCAwM5FhHzDpSqfDz9KSiru7MQhdGI6dyc9u1WWGhoQQGBuLp5WVz+wXduxPt60uJ0chbR444eXbTeGg0zQ68+Z6F0+QdcctwZG5uLjExMQ7vi46O7njzKju4uX37Mrkd9uuO2g/jgKCWN6VNabWOQye+vr7MmjULUAIWFzt5fkLrNMuhSUlJLL3rLrpb7Xuii89VA4NQLiIvBeagZNqMauA5TRUNDHdwezc37sNdzN3ScOCZO+90yzZvjYoi0S1bUo43cxBq9uzZ/PWvf23R9qaa/r9z+HC8zpGU3rYW58JjrL9UNcAElACw+b5xwGz3NqtRY0z/hzXwmG4o54P+QFeUdoajZHddCpbj2lFQ3gflb7oAJRA9FiWw1ZCuwGDTRVdntn79embPdnxEzJo1i7Vr17Zxi84CTRwwU6lURAYHu/x4jYcHQUFBqNVqoqOiSEpKIrlbN3x9fS2PSejaFV8/P3x8fenSpUuT2uOquC5diIyMxN9Btpy1bt264eHhQWhoKCkpKXTp0oXoqCgiIyNRqVQ2mYdarZbwiAjLbS5lJVoFcS7o35/k5GTiu3YlNjaWReedRwpnpn0nJCTg5+dH1/h4oqOi6m/K7veQ0FCioqIYa3cu8PLywkerJTYmhsTERJKSkujevTtNYQ4U2k8B9tJouLKB1R9d4e/nR7ekJKKiotDYbT/E6vs1oYkrXv5nxgwePf98PD082mQqvXVfwEerJcrBe2bW19OTYHOGiEqFj68v/5wyhZkofUt3Cg1p3l9/ce/eLP773/nLFVdw0003EYlSG9Od1yXx8fEkJyefCVS0YIp5Q693S3Tv3h2NhweoVKg1GuLccI5ylLXrDqPjzvSsAoOCiGjHfoFKpSIsPLxeEArg5qFDuf7KK7l3/nyio6Pdsj9zMN5eUlKSzaq1juTn57ulDe3NLcORwcHBHDt2jAkTJtS779ixYwSYIv3CNV5qNZEoFy2OMqdcmfLQVO/Ons3EV15p0TYuQwlyWLe5G+COxOfgoCCKTSNMbWnIkCH88ccfFBYW4ofz98TeBShTXpoT1x8ElISGklNZSXV1tU0G1P3TpxMeGsqtw4axYts2mylgXbp0Qa/T1RtNOA9litD5VrdZh96SgD+b0U5HLrD62cvTk9q6OoajBKicHQdBKFOEXBlfSAEGAt8CLUnete+UeHt7MzglhZ3HjrVgq3DLNdfgodFw+PBh1m/ZQrYLqfVDgB12twWgTB0MCAjglltuwd/fv/4Tm2AaShDilltuISYmhh7R0VzZEUfIOrjeKO9XLcr00y4oU9pOWj1m1syZrF2xoh1a51wCyvvv48JjvVECSda0KNlcWpRaV7vt7h+LkgXmjxLgdtQt72XadgbQDyWo5ykZUTKQ10R1ej2uTSZzE5XKMjUyLi6OkpIS9Ho93k4GsEJDQpqcHaFRqzEaDExDWUwiMTERL6sLIR+rAJgjHh4edEtKslwQ218wJoeEcNxJm/z8/BrMRAoOOvNtOSgqin9ecAF6g4ENJ0/SNzISQ1kZpzZvRg/81qUL3t7elsCcVqut1x/R+jg+C1mHw+z/fmspKSmUlpSQ18hFWEpKiktBNm9v73oZUYmJiaSlpTX4PI1Gg4enJ9cMGIBOo2HLoUOUovRLLh45kqUrVhAYEICX6fXw8PCgsqLCZiqit7c3NTU1BAYGMiY+nkt69SIxOJjE4GCWXXklf/7xBzf8rOTzuDJN1J71sXgFUIOS3XoiIgK9Xo+PVoufv78S2LUKpgQFBXHEKuNDDVwJRPbty4+VlZbbZ6SkcMXw4VQfO4Z/aiq7mtS6+qyzx3x8fMDumO0SG9vodMV5I0ZYfo6IUHrIISiDMT+2sH2gTPP1sTuGmzt1OikxEU8vL9RqNTlurldmvwCGh6cncUBD+WsNZQdGR0fj6enplmmIoSEhBAYGAnDfyJH0iYjgD6vMOg83DJRq1Gq6JiSgSk3FA9euL4AGgz8+VvcFBgbi6+vLCdPU3vDw8GZNVX108mRO7tzJy4cO2dzu6elJt27dbD6H1ryA1atXnxOr2LolI2rixIk8++yznD592ub206dP89xzz3HBBRc4eWbnpbcb0eth9XOQky9gs0sc3BbfgrZ0iY0l0s+PwBYWju3fQ/krrLfirhmska00amAWFRmJj1ZLcnKykh6K0ukEGD36zGSrC1CCBM4kA/NQAi+DmtmWPsCzY8fyxQ03cN+YMYwH7u3enVdmziQ5Upnkc+H06Tx4zTWWSPLf77wTPz8/AoOC6NatG4mJiaSkpNi0qTnjIbGNP8RijtXPM4CZXbowD6UWzfmDBjl8jh9Kpo6rl6Pepn8zmtAuaxNQLqjNZ6TAwECuvfZaAJZccQX9rY6zhrv+jnl5eqLVahk4cCDPTJ/u0ghSL5ROovVr3dP0/3333WcThBrcjDZdwplMGPMFb/+YGLqbOgIdSdcmjh63B3+UmkrJKIGZESjBKbNuiYmcf/75TJkyhWHDhrVHEx3y58wU3rg4V3K7bHmj/J329c/G2N3m6Fukj+m5fYHpuJZZ1lmYB/IckYG8+jyaUVdMpVIxr29fy++OwvqRERF4eng4DQqaBQUFEWo3iq1Sqy3HvX8z3q/wiAj+M38+MVot52u1DjNWg4Jsh0+s23Bely4NZmX8e9o07hjuKFdZ+butBZsyx4KCgvjXtGmWi3mAaaY+hUatZmJSEpF+fkRHR3P99ddz/7330sM+S8BBm+z/DrMIq36vOQi1fP78eo9Tq9VnsnIa4MpCCENjYgiPiLBcFNvv31p42Jl80mBfX8sUuiv69mXWhRcyundvEoAhwcEMGjiQ/159tSXbxc/PD29vb0JCQkhMTCSha1femzqV3++9l7W33srme+7hobFj6WWVCaJWqRgzZowlY79HhP2Zt2GjgVcmTSIOpR9++SWX4IfyvbX+ttu4ccwY/jphAk+MH+/wfTJn0Fyu1bLsmmuYO3cuN8+cST+rdlg/q6XzKSLCw+mekkLXrl2JjorC10Hfyc/fn6jISAfPNrU5Lo6hiYmW3728vHjwwQdZuHAhA3r2bPGAXkhwMGFh9fOKAwMDCQ4Oxs/XF19fX7p1czwHINDq3NA1Pt6SdRMQEOB0ZoY7aD08+PTSS5nqYB/BVpmiXbt2xcPDAw8PD3x8fPA2tS8iPJzAwEB8tFpCmpBZ6khSYiLhERG8d+mlfHn55ZwXF0eAt+1k/wB/f0JCQggKDCTM6jznodEQFxfn9LXq0aMHycnJ9OjeneTkZKZ2784tgwfj28i5wDpoFxvr+KrnyQkT8LM7L3h4eNA1Pl4JKDYxeDYcpXzB9B49uHXePIbY9X0nWh3HYNvHBOW6abiTc/rZxi3DkU888QTDhw+ne/fuzJs3jy5dupCZmcnSpUupq6vjySefdMduzin2c8bVKPVETgFDQ0NpKBnf+iPl6+NDZVVVk2oYWa9q5uXpyRNTlUk7F3h7s6KurlnZVvHA/PnzOXr0KF9//TWYCmC25aVuNGdqmQSj1GFxhQoICg4myHSC7dq1K3qdztJhGjx4MPHx8ezYsYNNmzYxC2VkaRPKdBXr8Wrr2HQYSoDhSxfbEYeS8QPKibFXRAS9Jk+mbvz4eic5jUZDt27deOihhzAajWi1Wv4xbhyRfn74enpy4/ffA6YRofz8RjsJo4BdKNNxrOt7RWNbj8qZYGyzLUKAgUFBlsyJiy++mAd37bJ5ThQwEmUKT2+UWk2NrQpn7qYFotTiacqklYko9bRGjRqlpC1rNDaBDx9PT6K8vNjbhG3asx5NGRUfz8CkJLYePkydg9pOISEhRJlG/DxQgmQ6lOPW3NWxH9V6/IoreOvLL5tUg81RQM1Do2H5vfdy91NPcRDbgu2OCtj3RAmCfd6E/TZHUztj44ANTXi8P8rr0dTVB0OAChyvOuiJEuQ1Z7V5e3paBl92797Ntm3bmri31hceHs4FF1zAhx9+2KznJ6G8hqE0PDXZD+V1a8lAybnOPJB36aWX2gQXZCDPMVdr7phpvb3576xZdA0K4iHTbXGA9fhzXFwcvr6+LgU4HBkZF0ddbS1Gmr4SZGxsLP5+fmi1Wu6//35UKhU6o5H8ykput8qsjIqM5PqRI9m9ZQvpHh7ofHzwOn2asYGBPDpuHLOsaoy9OGUKr23eTEZpKWqVCpVKxfSUFN7YurXe/tUaDb4+PlRXV5OUlITGw4NI08X+RcOGMaZvX7w9PCisrCTFyTQS8/eop4MgYUhIiKW+VWREhOU77bwuXXhwzBj25+VxsqQELye1hh4fP54nf/3VlZfS4rx+/fjr2LE88ssvDT7usfHjuWX5cjw8PIiOjqampsbyHR4dFWWTzRUaGopKpUKr1bL6+utZffw4/U2vU0BAAFdccQVGo9FSj2t8UhL/t3mz7Q5VKkuQa8wopShCQCNTfD646iq+2LaNB6ZMYdRLLynP8fenpqaG2kZqRg5MTmZuVBRhYWE2AUUPtZqbhthf2try9fOjR48e/MsuGPjs5MmWY83f9LdMnz6d999/H6wWBOjWrRvV1dU2WeHBOO+Xm6coabVapR9g9xk3T0+17hP1Bg6i9LsSEhI4P6H+t5GPjw+JiYlcn5hIYmoqtzXzOw8gLDzcYZadSqWyfGbsWR//AYGBRJgeZ18KJSIigoxWKIQd5O3NK9OnE+bry1133cV7L75ouS8wMJDIyEgCAwLw9PREpVbXC6KZF20AQKUiIjISPz8/ioqLiYiIYHhamqUWpI+PD0FBQZw6dcqmiHtYaCiF5kQV0/vXxS746+vpSaXpeL5t2DBGxcez8NtvMRgM1NTU4OfvT1BgoNKG8HBLbbLu3btTVlpqybS0fl2TgoOZM2oU06ZN4+LnniMOpa9mbm9gYCCBAQFEBgdTVltbr79tbYjdAMVLU6aw9MABNpvqDnp6elIVHExxcTHgPIMxKSkJH2BUWRnjx4+33P7Btdfyt/ff58fMTDw4c50fEhJCRXk5owYNIjsjw5IhPX30aHr16uW0vWcTtwSievbsycaNG1m0aBFvv/02er0ejUbD+PHjefnll+nZs2fjG+lkku2i/R4oH5AuUG++ubV6cXbTY5uSsKtCuaAqAkZotYwznbz7REfjeewY9UumOnc5trVAunfvzt/+9jcKn3oKHUpwYjJwANcCGo7Exzf9MiaEM194ySivT6qzB9u93iqVyiY1VKVSERERwbRp0xg/fjzbt2/n559/xnwKCUO5KHN0lLv6AbsI50G7hiLt3lYjCSOs5oB3CQggq6yMkJAQ/rpwIdu2bWP9+vVOt5OEElSzP/KamzI5YcIEdA0U2wxFCSSZeaMcJwXAGrvH9je1rRjbrKEolFG/P1xoz2iUIBQoHaQkJ6tNWP/9TS2I+/0tt9TrpHh7e5OUlFQvvXZeQADTJk/mp6W25Zw9OBNsc6R379785YYbWP3ee01sXX0qlYpwlCmbOpS/vRIl489+db6hDp7vCdShrPbT0mWwpwBZwPwBA/j9yBGOmX53FhTvBgxAOb84W8HNC6XOlgplukSl6bG1QF54OL83IY16Gsrx4Mqor49VMM3R6KnZeJQpbiOBVQ1szxzMsReDaytlnu/k9qSkJEaPHs0ff7jyCbLVDWV6a2N1N2aivIfOckQa6vh1FjKQ1zRNKWjt7+fHmL59SbAbxTcvBLEC5QLQXPtpVFwcfzZSfHliYiLXDRrE5sxM3jQFmS/q0cNyQVJnNbXFlRW1zFkaySEhliCIBogLDGRc165sMC8qoVJx+8iRMHIkRqOR8tpa9FVV9bJutR4e9AoP582ZMzlaWEiE1f3/GDeOZQcPcvT0aWqsCuR2iYuzKWg+sksXkkND0Xp4EGPK4gh1MqXO2nWDBvGEXdAoJDiYkuJifHx9+fHGG/H38qKwqopw02s+OCaGwTExVCcmMuTAATJN/Z0HTZnow2JjuX3YMN6yCuh7qNUkJiRQUVFBTU0NQcHBFOTn41NdzQStln/OmYNGpeKaAQPo7iR4BkrQ8PI+fXhj61b6RkQQ4evL+pMnSQgK4sJhw+hSWcnr336rDHaoVISEhuLr6YlGreZCB/WqVKagn/lna3ePGMFrW7Y0+hraGxQXxyC7DFYjSi2uyqoqsrOzbQKzERERVFdV0adLF7RaLbfeequlLdOnT6+XzWfP+rW+un9/h4+5qHt3fk5NZZIpaBEZGckDDzzASdPAlrepZpl9BlIfHPfXEhwEkKz75b6+vpaaPBf168fK8nIGRUXRLzmZ6mPH0Gg0qNVqpiYnN/i3TUxKokuXLhQWFFBTW9vkxZka+r7yVKu5qn9/3t9tO3Fdq9USidLHuqRbN+YMHcqHu3ezyW7hBB8fH7qnpHC0gfIQvsCcrl35xMlCM6EhIRQVF1uy90bHxfGX4cMJMvVJfH19mT98OF/t2kVoaKgS2AEWDhtGWnGx5RxmzVHgzdfPD18/PwK8vPD39iakpoY6Pz8lm0ilIjAwEINebymQHhwcTHl5OUaj0enUtzcuvJC9ubmcn5Bgk/WqVquJtatvpdVq8fT0xEOjQaVSEegky9Jgen99vb15ZPx4fjWdmxYAK0NCCAsNRa3RcHmfPjbv2/dXXoneaORQQQH/9+efXO9gRkfP8HAeHTeOnTk5PLZ+PZiCkeZAVFBQEKUlJejtglGhWi3/mjKFJLtBDy+NhktSUqjIzCSEM8daREQEERER9OzRg8DiYnQ6Hd7e3kyZMsXh33w2cluBhoEDB7J27VqqqqooKioiNDS0VVMNz3a9AgKYAOSb/lnHNZ2d7IYC9b/6lKKvfWh47q81H5QgQD7QzyrVcPbs2fzyyy98Zpe50hAV9YMXKpWKSeedx2bTaFCk6Z91kCEWJdXwh0a2HxMTU28+titCUAJEx1ACGRXUD0RpUTKQLomNdZi15Oh90Gq1jBkzhp9/PrMOhz/Kkugt0ZqZY35+fgwdOrTBQBTAFXPnsnTpUiI5kzHSBUhDee8a4qPV8tiDD1qC0CqViurqasrLy+lrmhIxNCKC7fn5jIiLo5uTzn44SvaE9biQBuVCNgCYMmUKMTExzc7kgKZn3bjCE+jpYEqHl5MFAJ64915OnTrlNJMxOTmZSy65xOF9Gjcuee/j40NVVZXli8BZwMB6xSkvLy+Ca2s5D9geG2sTeHHVUJT3OR8luzACuO/qq0lOTmaEnx8ffPABoNQCq7R7bjeUzEPzazfd9H8xtkHMQZwJkntwZqU3H+DBSZO4/YsvXAqOx9N4QNYf5Rw3ZsQIfKzOqXFxcVx22WVKlqgd88CDI8NRzl/+prbvBA5b3T8NXMrcm4rjwKY5pXvChAn4+vranM9coXKyXXseNDyVWchAXlP5+voyIjKSLXm2eY1eXl42K5eBcjFw78iRlt//MmYMPx06xKvz5vHOm28yDciLiKDCNGgypVs3SyAqyNubkhrbalSLL7rIEpiZnpJiCUTFBQbSJzwcg9HI4+PHc/5rr6FWq4kIDye1gUDUy1dcwZeHD3P7sGGW7Vq7d+RI5vTuTZ1eT5hVnSiVSqVMZ7EaiPrXBRewZOdO/mI1XaO7XSB8RJcujOjSBaPRyOzPP7fZ3o2DB9MjLIzYgABCmtHnAhgaG4vWw4Nqq0EoD09PuiUnoza3GSxBKGtarZbP7r4bgFq93ua7M8Lu8aPj4tiQno6X1d9/zahR9KmoYMSIEZYL2SuspmM6M7lbN7oEBNA7IgKNSsX1gwdbgm47d+6sN4148UUXNbpNeypgSnIyKaGh3L1qFV2aOd3WnK3s4eGBSq3Gz8+PlJQUJaBiNNIvKorE4GAKq6pYNFap9Gfdj3VWT+aJ8eN58Y8/uHXoUAZGR1sCUZf16ePw8bcOG8aNQ4bYBAxUKhXP338/tbW1LFx9Jmc7PCyMgsJCoP60bjNvu6lZXhoNtVaB0ujoaNSm4+GukSN5wPS3/ZKaiudJpULjmxdeSLyTgIS1xZdeyqd797I1OxudTkdtbS3l5eWWAAIo540SBzVpGxo2GR4by2V9+qBWqXhv1y66xsdTXV1NgL8/Nw4dSnFBAddOmIBareYRuwxGy/bVapISEyktLT2TQWRlInD5yJGWQNRMlH5BhpcXMbGxeHl5ERYebnnP5/XrZwlCmd13wQVst/vbrh4wAJ3BwJwvvlD2k5jIOqsaadOTk8koLWV/fj7dQ0OJ8PVlf34+D48dS8zEiQzYuZM3cnJsgodqjYYIUwakxpSxZkQ5ThwlW4T7+jLRyQCxs9epsTDiBKvpbePHjycuLo5PPvlE2Z/V62R9HL81c6aSjKBS0S8ykiUXO1umSjHYyVRuby8vEhISOJFqe+X52Nix9YJQZmPGjMFgMNCjRw+W2mXHGQFUKkJDQxnspkLpHYXbK4VmZGRQWFhIRUVFk1e46ExUKhWxOK7BY/5w2H/IgjhzQTQRJUBwUXg4088/n08++cTpNDBflFHxGpSluEeiZAvYZ18FBARw8cUX81ZODql2BSYDTM/7FSWjwNJW0/8LFy60efz06dPZunWrTWqi9UdvHM4v7uLj41GB5SQOSqp55ZAh3P355zgrUZmEEnQ6hRKw03Cm9pYvyvQzc1HuIJQlzFWAh4OTYoSvLxc3cAEwY8YMVq5c6fR+R7qiZE39ZHd7WGgoCQEBXHnllbz88svU1dWRaDc/uKnm9e3Ly5s2MdaUTebKyI955GMcSqZFr7Aw7rrxRp5/4QW2oxT7C0B5nfeY/h7zuEyYh4dy8rYa7dBqtVxsdRL/3/XXs3L3bmYOHsxLzz3n0t8RwJnpiuZtWotBeQ/t/7pwbINn5tDAuHHjGlzhqKnTKhqzaNQo/vnrr4SiBBu3okxxU6vV9d6TadOm0aNHD06cOMGQIUOcFlr1aObqlldffXW922bNmsWXXzY+eTQoKIisrCyGAQNHjSIiNZXzzz+f+0xTPeLi4oipqGB/TQ1VVVWo1Wq66vVoUDrO9uWWzZ8s8zjoDTfcYMl8TExM5O677+a1117jQuA3u+dHYNshNB9xYSif/0CU97+h6lxqtZoJKMd0QxPnfKlfuNsRFUpG3+Mz6lcv69evn8NAlDPR1B9wGMqZQFQcyt8aj+Ms0xiUaZ41nFmU4L777sPX1xeNRkNVVZUlA8TT05MxY8YQHBzM8uXLqbG78BZtQwbyXOfh4cGr113HjMWLUalUBAUFodPp8PX1JSM9narqastj/fz8CLF6He+ZPJl7JitrEj/++OMANkEZjVrN6Lg4CquqeGHKFPQGA0sPHOCzfft4YPRom2CRSqXir6NGUa3TEe7ry3Om7apUKpbeeCPLDx9mtVUmrP0Ay8UBAczs3ZuZvXs7/Vs9NRqn0+HsDYiK4t/Tpzf+QFMbF/Trx6f79gFKNtacBtrRFP8YN67elDiXVuazYj+AMyw2loUDB3KiqIj0khKuHzz4TKYYSjZFVxeCEI54qNU2tSGtM7/sszfGde1a78K+IdOSk1l9/DgLTJlFSSEhvDt7NsHN/Gw/MWIEf92yxZLJArZZWBMSE5nRjOuuobGxfHbZZZbt3DJkCD6eng3WY3N0n6MaTKFhYYSGhqI+ehQ/lBVYv2mgLUnBwVzVvz9Pb9xIt6QkDFZZNBMSEtBavSdju3Zl5dGj9AoPdykIBZASGspj48dTrdOxZOdOfjx2DF9fX5tAVHBQEJWVlTYlFaKjohzW0np64kQ2nDzJtQMHAjCnd29WHz9OFkphfuvgtSs8TcGkkNBQampqqDNNGSspKSFRqyUpMZFhKNdhQ5KTiY6LY6NVRrpKpeLKvn2JCQigm4OAR5BWy8dz5nD1smXAmWtAD7Wa92bPpqy2lm4hIdw4eDA1ej0BXl74eHqiNxjIKC0lISjIMj3afLxcOGkSb3/xBTq77J83Lr2UnuHhrE9L492dOy0B6vNcXMHvxsGDWXviBP+aNImrvrE7alSqBgODS+fOtTlWzN8Vlt+tHhtoFQiNa2Ht1K7x8VRVVSl15+yOl3CgWwMrAnp4eDBx4kSlfXaBKOtpz3daFeQ/F7gtELV06VL++te/kmmV6RAXF8f//d//cfnll7trN+e86OhoBg0axOnTp/lhyxaHU05AudiIAQI1GlJSUhgwYAB79uyp9zgNSraO+WvdleLT3998M39/4QW21tYSiRJAMp82xqEEo8ynZzVKZNlR4MR+fqwGZWU98/PsqVCmTWlMJw/znN8RsbFKEcfwcOb068diU+cJlBGi6UAZZ+rq1CumO2YMSUlJfPzxx/yJkiY6rlcvVJs2KftVqerNR3939uwG03CHDh1Kfn5+g/VfAgICKCsrYwDK6nmjTK/BcJSAhFlIaCjXXXUVAPfffz/V1dVOC3q6akJiIkkhIZaRN/v56GYXXnghP/6orCViLr7phRIgGN63L1qtFhXKBb4fSjaKF8qFsjdK5tRxYKwLI6gBPj5cYTU67UwQZzrs1plmffv2ZeDAgahUKrp168aJEyfwBuaiZM38BJbVlEYDW1COswDOTMszn+Sd6dbMkWBnEoODeffii3nSlGVoHabQW4343XbbbZalthtLnQ/z9aU7cNTJ/V1QPhfWGTTDhw8n2UHaeu/evbn11lv53//+1+A+p0yZQlZWFneedx6jRo2CCRMAmFVSwvIjR7i4Xz/uPu88ZZTPaOTC7t3J+/HMGjXWU/0cLZpt/1kLCQnh73//O6+99hrnl5ezCSUopMXB9GTzNlCOU3tzTZl+1swXRt1RpniaK7HY1x1zlPHZGgYD+1AGGBxN5gsKCgK7UcxuKKthmoUBhSjBdxW2K2NaF+P1dZCN0LdvX3r16kVaWho5OTmsXduU6muKhIQERo4cyVdffWVzbAvXyUCea4xGo01NFnPdnbj4eI4eVc6MscDTF1zQaHaPSqViUFQUmWVl9IuMtKkFotZomN+vHxd27+4weDDeqt9jfQ5LCQ3lvlGjuHHQIG54/XU8KyvpiVIiQI3yPRXTzitGzu/fnyv79SOtuLhJF8qNGdAKC8uoTFPoHHli/PhmB6Ea06dPH3bv3s2ikBBy/Pwaratk7/Zhw5jZvTuJVlNDI11YwMSZi6ZP52BAABud1BJqyVRn6+fOamEW5o2DB/Puzp2W38clJHB+t26sXr0aLfDUuHG8d/IktbW1NsG+oTExPDR2LFoPDz645BIWfvstAI+cfz4jHSyw4aXR8KKpxm1TaT08uG3YMCL8/PjAbjqdt1ZLYmKi5VyiUasJDApiUFQUu6wG6eMDAxkYHc1AuwyVSUlJfLhnD73Dw51+toK1WoqtguZfXn45V3z1leV3tVqNj4+PZUZIQGAgd8+fj16vtwywT58+nS9O2K5H/eKUKTZF7x2xHnB9a+ZMy88Rfn6Wqbz2AVeNWm1zHNsfa91DQzloV+7A/LpMT0lhSrduFFZV8UdGBlOcFHO3d0mvXlzSzDpIWgfn17CwMLp06YKvry8lYWEcNWWdjUtIYNepU/RroBC+K4bFxLAtJ8dmZdCI0FDyT5/Gy8uLj6+80ulqoPasX99BUVGMS0gg0s+PstraFp1DOiK3fBP++OOPXHnllfTt25c777yT2NhYsrKy+Pjjj7nyyitZvnw5MxyMFAvFY489RkVFBX5+fpaDb8aMGfy6YwfbdTpL1klDOS2TJ0+muLiYyenpVKJEXs2nkYbyJ/o6SF320mgIV6ksK4tZi0TJJPrO9Lsa519+463m5Jp5O3ykoltyssOAySJTUUeoP+IShBIYcV6JRWFeeSgcCI2MZGbPnvxqCkQ50tgXukajYebMmQ0Gonx9fSkrK6Mfthff3VGCBbuB0tBQm9FCb2/vemnKzaFSqWy+NHx9fZk6dSpr1thWYBo+fDg6nY6AgADCw8O5+uqrUavVVFZW0qtXL1QqFYMHD2bnzp1Yj5f2SkoiNTXVMu3Sx43TxfqgzKe3rwxmHdC+5ppreOaZZ6irq8MDJQumG0rhSlACMc0p8Zvk48N5KMdJw2VO7Z7XjH3FxsYSEBBAcHCwZXUdVw3HcSDKHyVYnIFtIKqpS7yOQKnrpkY5XoODg7n33nvrPe6GwYM5v2tX2ykgDj47I1GCsSNwfXUdT09P7rzzTr788ks87TpboJzzduzYwcSJEwkKCuLXX39l9OjRxMTEYDAYeMlU2LVPnz71MhjNnzkVyjlkjOn2cGwLqjoat7v00ktZtWoVlVbLWDfV7Nmz+d60oAAoRVd74Tzo5efnR7+SEg4CA023qVCmH+5CyYCK4kyNr+bQaDQkJyeT38iy6I4MHTqUKVOm4O3tzcMPP8yePXts/r6ePXty+PDhes+TGlEKGchrGmd9IZVKRVBgID1KS7m0f/96F4jOPDVxInqj0WGWh0qlanYGS6CPD1+aCpCnpqby0UcfAUrfrLEBh7agUqmcThNpiQdGj+bFZtSea4rFF11EanFxvSLC7qTRaBxmErv8fLXara+vSqXi1mHDnAaiolu4Kpy7XNyzpyUQlRgUxJ0jRuDj6cnQoUMpLy8nJCSEgi1bWGWqIQTKVNj7Ro60BBCsM9McZfa4g0qlYlpysk0gyjwIrFKpLIXGzYXerx88mHtWKRUd4wMDeWis43zpS3v3JiU0lJ4NBIT+M2MGa44f56M9e0gKDsbH05Pl8+dbpuzN7dOHpQcOWB4/xHQus75eUKvVJIeGgul1fGnKlAb3aWadcRjohusNUIp52weirGnUaiL9/JodWHIHtVrNjTfeCMDsujrmf/01fqaab/dZXWc21RPjx/PTiRPcMXw4C6wyt96eNYvH163jhL+/pV6sq8YlJPDTiRNE+/nxT9OCJf1befX49uKWQNS//vUvpk6dyooVK2w+JA888AAzZszg6aeflkCUHetpOSqVymFKa6BKxVjOZBM01GUPCAjg+uuvZ8yRI3zmYO6xvQceeID09HSno65jxozhFycrjvihFNo1n76cZduMHz+eXr16ERkZyT//+U+HjxmAMs1rbEAAz86ZQ5C3N5syM3npT2US3RV9+tgsmRkbH49q0yaMKIGHgQ626e3tzcKFC1m8eLHltsjISGbNmsXlfn5oIyLoFhKCOUSmUqlYPHMmj/7yC3ktuLi0dtlll7Fx40bL74GBgTZFVn1RpuB4uvCl4S6jRo2yCUQtWrTIcruZo6yZ2bNns9NqdAuUwEaq1dznpqbeN8SD+kuVOjJjxgybi92mFhd3RKVSYX4FAnBeLLsfSsDMgBJgaUpXuI9pZNfDw4N77rmnya+d+dzhS/36Sb4o54l4lCllfaKjufuGGxoseG//+e3duze3jhvH0aNHnZ4DzDzUano7WFbaiDLd7j1TUfVuOM9kAucBCW9vb6644greeOMNysrKLLf7+PgwZswYxowZY7nN/oLhvvvus4w+DR8+nKSkJN58802H+7MulToD5X3Pon6A8S9/+QsREREcPnyY/fv34+vr26yA1ODBgwkNDVVWGjKxbtGCBQv49NMzeWSRkZE8OmwY337/vU02aR+UDKjGany1th49elgC6BqNxuVRPyEDec3hb3V8PTRmDM/9/rvl98jISK4aN44pAx31Dhwz1wRpDebzu3XgqU+fPkybNq1V9tcRWAfuQn18OF1VxduzWlpJ01ZMQIBbM7nOFkFarU3AwuyGQYMY2EEuVK2/X5+cOBEfU//D09OTEFNQ6Y4RI7hu0CBWHD3KeV26EB8UVK80wlszZ1LRyhkgAd7eXDNgAP+wW1AGICI8nNCQEDQeHlzUvbvNd/Qr06c7rQGqUaud1g4yC9ZquaJvX8YnJDjM2lQBH1xyCaU1NZTX1lqK7qtUKkaPHk1VVRUhISFMCgqitKaGITExLk/j9fbw4OGxYzEYjTbXVy1xeZ8+hPn4kBgczFcHDhDbSp/Nv40Zw5HCQpYdOuT0MRMcFb83MR+b/l5efHLppU7fw6YYGhvL0FhlvtHj48ezIyeHGwYPxkOttqy02VSDoqP5z4wZRJ1j2U+OuCUQtWvXLj7//PN6F1QqlYq//OUvLFiwwB276fRSkpMptxpBgPq1f3r06EFoaCinHRS6s+br69vg0o9jx44lJSXFJphjzTpTIMbJCVelUllWunCmH0omQLS3t+XLZnxioiUQZf/FNKhLF1JMK0s4muR1yy23EBYWZnMhZE79HeIkrVqlUhETEMB/LryQl//8k/NNSxE314QJE+jXrx8bNpxZWH7WrFmWInlmCcC4Xr3o6+BCvrWMGDGCLVu2MH78eEuWWHPExcUxd+5cvvvuO2praxk2bFiTnu/v7095ebnLj7/KNHXR2uDBg/H397dcsDf2FexKplm4VWBwemAgv5aW4oPtUt+gZJ+YT56urOk4ZswYcnJyGDlypM00VmdBXFdMNrXL3H2KQCniDUonZmhEBLfdfHOjga7w8HAGDRqEv78/Q4YMsXQUzcvENkdcYCDx8fH06dOHA1ajes3h7e3NokWLLKuH+fv7c/PNNzf6vEC7Ohrm1bEqKysbPC+pUAJ63VHen4ceeoiSkhLKysosI6MzZ84kMjKS/v37U1JSwsqVK5lpleJu7+abb2bdunUcO3aMkabpqQkJCQ6nDQKkpKQwfvx4ampqqK6uZurUqfj4+FBUVGQT4Ab3F3rs3r07q62KzTZH7969bd77Xr16OcyIEjKQ1xxaDw9enjoVjVpNt5AQbquu5r/btwNKIdsx/fo5XZ2pvQQHBzN27Fi8vb0Z6yST4lzRLzKSy3v3pkdYGENjY9GoVG5dZEOcoVGpeGHKFHo0sEJrezDXG2potUU/L68GC8q3tF6Pq2b16MErYWGUlJTYrHQ7zlSTqrCqiusHD6bUqoaip5uO5ygnWWwDoqII9fFx+PpZr5jmqdG4VJTf3uhmrEbeEA+1mimmgeyHz3e2Vm/z3T1iBAcLChgdH0+kn5/DQFTv8HBuGzbMZjZIQ9yVDWZtWGwsw2LPFMEx1+ttKDjmjKt/x9nOLd/UGo2m3molZnV1dW7NljhXuHIBOm/ePL766iswzSOOj4vjoF0gylGHprH6HN1cmJ+rUqmIiYlptCj3qFGjGDduXKPb8/T0tCn8Z62hg9DfLlofHxTEaxdeyOLXXqv32MDAQJug2OTJk9m/f7/lws+ZrqbAk6+nJ4+68LdYs66xZM868JGSksLf//53nnnmGcttM2fMYMTgwU3aX0tNnz6dYcOG2QRcmsPT05M+ffrQvXt38vLylGVbm+Dmm2/mo48+oqCBVF6zSy+9lJSUlEYf10urJTYykgpTEdMhQ4awY8cOQEm3vvbaaxvdxnnnnUdVVRXdu3dnzZo1jDFlsWWh1CEzsz6jqVSqRqfPTDYVsnUH8/nUH5gTH09qRgZq6tdd8/b2duncq1KpbIrKmw0YMIDc3NwmpRO/MHkyO0+dsixt3dTlkRtiDiLNmzfPJsjUFPfddx8Gg8HpRar1MQNK5pWHhwdhYWE2HVQfHx/LeS8kJITbb7+9wf3GxsZy1VVXodPpbPbtLDiqUqmYYKrDZW3kyJHs2rXLJjvM2oQJEyyrYz744IN8/PHH9OvnqCqXc2FhYdxzzz1kZmbaFFnXarVUm76LNBqNZeox1M+IVKvVzJ07l7KyMrKzs+nRowffffcd9mRqngzkNZf1dOCZPXowwbSKUrVO1yoXGO4wadKk9m5Cm1CrVCx0sOS5cJ/Xpk9nW3Y2l/TqhacbsjrczbreUEfn4+mpfMeHhtqUFrh9+HCba5BwX18eOf98Ary8Wu276+1Zs8gsLXV5WnFnMSU52RLo6hEWxlMTJvCY3UrgL1gF6DqKiUlJ9I6I6BSZTc3llgjR8OHDeeGFF6iqsp3IUlNTw0svvdTk+iSdQY8eSrm5hqYwJCcn8+CDD1p+72J3IN9///0Op1JNd7Jyyv3338+UKVO47LLLHN7vyIgRI/jLX/5iE2gYZNXBmDp1qktph7Nnz8bLy8thZosjNwwaxIDISKY7CEB0CwnB0RiL/UXvmDFjuOWWW5y278477+Siiy5iRAtWIBg+fLjT4/viiy8mKiqKuXPnAkrwZsKECfTo0YNHHnmkRfttLnNmSFO/RO3bar6Y9vT0pEuXLk3eXmBgIDfddBNBQUH06dOHhQsXWlYxsnbVVVfRv7+jEtRY9m/24IMP8q/rr7eszhgSEsL5559PXFwcd955p0s1OTQaDZMmTbIEJ50x/7WPPfYYjz76qGW6XVsICAhg6NChnHfeeUycOBEPnBT/b2FHSa1WW1byc1XviAgW9O/f4Go7jrjS1rvuuovbb7+dOAdFS13l4eGBl5cXarWaGTNmMGrUKB577DHL/fZBN3cPotgHwLp162YzNbYxvr6+3HfffTz++OMOp1X3NBWZ9ff3x8fHh5tvvrlJ2zcLDg6mX79+Nse1dfD60UcftUztBeevU0BAAD179pSAUwNkIM89/Ly88PfyItxBMX4hzjVJISHM7du3QwahzloqFaPj4vj+yitZPn9+vYFwgJFxcfRtYVHrhkT7+9tk1AjHBsfE8Pj48QScBWUAov39pQ/UALdkRD355JNMmjSJbt26MXfuXKKjo8nJyeGbb76hsLCw0TojnVFsbCwLFy60WfnFEZVKxWUoxZuj7Ar2OaorBco0iAcffJCamhpeffVVm8ePHj26yW2NiIhg5syZvP3224AypWSXaRUwV/Xr14++ffuiUqmIiooi12rlCUfm9O7ttuWEnbHPcmguR6tQgXLhdtttt9ncNn78+Bbvrz1MmzaNQYMGsX79evz8/NxyceTt7c0999zT4Am6sUyorl27kpKSQnBwsGU7V199NUeOHGHkyJEtmp7hLJvHz88PVUWFJQDXHl8wF110EQAnHBTx7kh69+7NwYMH693+0EMPsWfPHks2obPPkDWtVuvWJe2tg6tDhw6lrKys3pS91g4CqFQqpk6dyp+mqcgA8+fPb/Q5oATBjx49SlJSEpGRkfj5+REdHc1dd93l9LuhqaZPn05lZSXDhw+3aaOZOUutqRmR4gzzQN6FF15oWSEJZCBPCCHayqW9erH6+HFuHDJEggZniWGxsXx62WVszcpqs2mcwv3cEogaO3Ysa9as4aGHHuKNN97AaDSiVqs577zz+Oyzz5oV/OgMrGvFNOTKOXMoKSlp0hQZ87KfDU2JawqdTmf5ubl1bcwn92uuuYbNmzfXq3XSUu6cBtQUI0eOJD8/n3379rXL/tuCWq0mJiam0YvkpnJH1o59ll1ycrLDTMGmioyMJDs7G7AthB4dHc3ELl2Y2g4ZbfYSEhKIi4tDr9cTHR3N0KFD2bJlC3v27GHixInt3Tz69etHQEAAUVFRLFu2zLIcsre3N8OHDyc4OJiqqiqC23kuvDmwZz9V1NGUxdbQv39/9u7dy2WXXeZyBlr37t25++67CQoKsgmYuXM1roCAABYuXAjA71YFoc3uu+8+dDpdswOE0uGXgTwhhGhv1w8ezMJBg+rVpRUd3/AujtY3FmcLt1VzHD9+PH/++SeVlZUUFRUREhLi0ii3aNyAAQPauwk2I7Ut5efnxwUXXEBcXJxlhb+WFM4GJSDRlCmH7uTl5cVll13G/v37MRqNluVfRdMtXLiQDz74oL2bAcDEiRMxGAzs2bOHQcBvpts1Gg0jhw3DrwPM+dZoNJblaM0uueQSZsyY4dbsoeZSqVSWgPvEiRM5fvy4TYaHs1U724t1JtEjjzzSZgWPL774Ys4///wm124LaaVlrR1xFOj38PBo0WskgSgZyBNCiI5AglBCtD2397J9fX0lANWKLrvsMpsCso1xV0ZUREQEs2fPJigoiIqKihZvD5Q6Wddccw2bNm1qcMUpVzzyyCPtXktj3rx5ZGVlNVjTSDQsMTGRRx55hBUrVrR7kCIwMJA5c+awZ88eugJzgKPAtB49OvSy0c1dLra1xcTE8NBDD9nU9epotFotN910ExqNpk1X3dJoNJYV+Tqq2bNn8+GHHzosot4cMTExjdZi6yxkIE8IIYQQnU2ze9rpppWpXCUdTvdISUkhMDDQpZXvABYsWMDXX3/N1KlTW7zvwaYV3tw5Ba1bt24u/y3OLFq0qN2DUKAUCjYXCxbN5+Hh0WZToprCBxgA3DJ0aHs35azVkYNQZl0kzduh6OhoHnjggWZnMc2bN48vvvjC8vstt9zirqadM2QgTwghhBCdRbMDUYmJiU3qkOr1+ubuSljRarXce++9Lr/2Xbp04e6773ZrG3r16kVkZCTx8fFu3W5T+Pj4UFVVxbBhw1o8rU8IV82ZM6e9myBEu2nJVLpevXoxe/Zsvv/+e6KiotzYqrOPDOQJIYQQorNrdiDqvffek/oO7aS9X3cPDw9uv/32dm3DLbfcwqFDhxgyZEi7tkN0HnfccUeTa/gIIc4YNGgQ4eHhja4We66TgTwhhBBCdHbNDkRdd911bmyGEE0THBzMyJEj27sZohNYtGgRFRUVEoQSooVUKlW7ZtJ2FDKQJ4QQQojOzq3VWEtKSti0aRMFBQVceOGFbbqijxBCtIaAgACZ/imEcBsZyBNCCCFEZ+e2Cs///Oc/iY2NZcaMGVx77bWkpqYCMGnSJJ577jl37UYIIYQQ4pxSUlLC6tWr+eSTTygqKmrv5gghhBBCtCq3BKLefPNNnnzySW688UZWrFiB0Wi03HfRRRexYsUKd+xGCCGEEOKcIgN5QgghhOhs3BKIev3111m0aBGvvfYaU6dOtbmve/fuHD161B27EUIIIYQ4Z8hAnhBCCCE6I7fUiDpx4gTTpk1zeF9AQADFxcXu2I0QQgghxDnDPJD3wgsv1FsdTwbyhBBCCHGucktGVFBQELm5uQ7vS0tL6/RLNQshhBBC2JOBPCGEEEJ0Rm4JRE2aNIkXXniBiooKy20qlQqdTsdbb73ltJMlhBBCCNFZyUCeEEIIITojtwSinnrqKU6ePEmfPn24//77UalUvP7664wYMYJjx47xj3/8wx27EUIIIYQ4Z8hAnhBCCCE6I7cEolJSUvj999/p3bs3b775JkajkQ8//JDw8HA2btxI165d3bEbIYQQQohzhgzkCSGEEKIzcksgCqBPnz6sWrWKsrIyMjMzKS0tZc2aNfTu3dtduxBCCCGEOGfIQJ4QQgghOiO3rJq3b98++vXrB4C3tzexsbHu2KwQQgghxDnNPJBXU1NDYWEhISEh+Pj4tHezhBBCCCFajVsyogYMGMCIESN46623ZIUXIYQQQggX7Nu3z/KzeSBPglBCCCGEONe5JRD1xhtvoFarueOOO4iNjWXBggX89NNP7ti0EEIIIcQ5SQbyhBBCCNEZuSUQdfvtt7Np0yb279/PnXfeya+//sq0adPo2rUrjz32GMePH3fHboQQQgghzhkykCeEEEKIzkhlNBqN7t6owWBg5cqVfPDBB3z//ffodDp0Op27d9MmSktLCQoKoqSkhMDAwPZujhBCCCGcOFu/sw8ePMiSJUv45JNPyMnJIS4ujuuuu46FCxeSnJzc3s1rlrP1vRBCCCE6m/b4znbbqnk2G1WrSUlJoVu3bgQHB9MKsS4hhBBCiHNC7969eeGFF8jIyGD58uWMHDmSF154gZ49e7Z304QQQggh3M4tq+aZlZWV8cUXX7BkyRI2bdqEt7c3c+bM4frrr3fnboQQQgghzjn2A3n5+fnt3SQhhBBCCLdzSyBq3bp1LFmyhG+++YbKykqGDx/OG2+8wfz58wkKCnLHLoQQQgghzkkykCeEEEKIzsQtgahJkyYRGRnJbbfdxg033ECfPn3csVkhhBBCiHOWDOQJIYQQojNySyBq2bJlXHTRRWg0GndsTgghhBDinCcDeUIIIYTojNwSiLr44ottft+wYQNDhw7Fz8/PHZsXQgghhDjnyECeEEIIITojt6+ap9frmThxIocPH3b3poUQQgghzhkXX3yxTRBqw4YNVFRUtGOLhBBCCCFan9sDUQBGo7E1NiuEEEIIcU6SgTwhhBBCdBatEohSqVStsVkhhBBCiHOWDOQJIYQQojOQjCghhBBCiA5ABvKEEEII0Rm4pVi5NY1GQ2pqKrGxse7etBBCCCHEOUsG8oQQQgjRGbRKRlRCQgKenp6tsWkhhBBCiHPCvn37LD+bB/L69+/fji0SQgghhGh9bglEqdVqNBpNg//aUllZGQ8++CBTp04lIiIClUrFE0880aZtEEIIIYRoyIABAxgxYgRvvfUWxcXF7T6QJ/0nIYQQQrQFt0zNe+yxx+rVNcjPz2fNmjXo9XquvfZad+zGZYWFhSxevJiBAwdyySWX8M4777Tp/oUQQgghGvPGG2/wwQcfcMcdd3D//fdzySWXcP311zNlypR2aY/0n4QQQgjRFtwSiHI2WlZbW8u0adOIjIx0x25clpCQQFFRESqVioKCAulICSGEEKLDuf3227n99ts5ePAgS5Ys4ZNPPuHzzz8nLi6O6667joULF5KcnNxm7ZH+kxBCCCHaQqvUiDLz8vLirrvu4uWXX27N3dSjUqlk5RkhhBBCnBV69+7NCy+8QEZGBsuXL2fkyJG88MIL9OzZs03bIf0nIYQQQrSFVg1EAfj4+JCTk9PauxFCCCGEOKup1WpSUlLo1q0bwcHBsoqeEEIIIc5Jbpma50x+fj4vvvhim4/otURNTQ01NTWW30tLS9uxNUIIIYQ415WVlfHFF1+wZMkSNm3ahLe3N3PmzOH6669v76a5TPpPQgghhHCVWwJRSUlJ9VK5a2pqyMvLQ61W8/333zd72+vXr2fixIkuPXbnzp0MGjSo2fsCePbZZ3nyySdbtA0hhBBCiMasW7eOJUuW8M0331BZWcnw4cN54403mD9/PkFBQS3atvSfhBBCCNFRuSUQNX78+HqBKK1WS2JiIvPmzSMxMbHZ2+7Zsydvv/22S4/t2rVrs/dj9vDDD7No0SLL76WlpcTHx7d4u0IIIYQQ1iZNmkRkZCS33XYbN9xwA3369HHbtqX/JIQQQoiOyi2BqPfff98dm3EoJiaGm266qdW2b8/b2xtvb+82258QQgghOqdly5Zx0UUXodFo3L5t6T8JIYQQoqNq1RpRQgghhBDCsYsvvri9myCEEEII0ebO2UDUypUrqaiooKysDIADBw7w1VdfAXDhhRfi6+vbns0TQgghhOhwpP8khBBCiNamMp6jawMnJiZy8uRJh/elpqa6XLeqtLSUoKAgSkpKCAwMdGMLhRBCCOFO8p3dctJ/EkIIITqX9vjOPmczotLS0tq7CUIIIYQQZxXpPwkhhBCitanbuwFCCCGEEEIIIYQQonOQQJQQQgghhBBCCCGEaBMSiBJCCCGEEEIIIYQQbUICUUIIIYQQQgghhBCiTUggSgghhBBCCCGEEEK0CQlECSGEEEIIIYQQQog2IYEoIYQQQgghhBBCCNEmJBAlhBBCCCGEEEIIIdqEBKKEEEIIIYQQQgghRJuQQJQQQgghhBBCCCGEaBMSiBJCCCGEEEIIIYQQbUICUUIIIYQQQgghhBCiTUggSgghhBBCCCGEEEK0CQlECSGEEEIIIYQQQog2IYEoIYQQQgghhBBCCNEmJBAlhBBCCCGEEEIIIdqEBKKEEEIIIYQQQgghRJuQQJQQQgghhBBCCCGEaBMSiBJCCCGEEEIIIYQQbUICUUIIIYQQQgghhBCiTUggSgghhBBCCCGEEEK0CQlECSGEEEIIIYQQQog2IYEoIYQQQgghhBBCCNEmPNq7AR2d0WgEoLS0tJ1bIoQQQoiGmL+rzd/dov1I/0kIIYQ4O7RH/0kCUY0oKysDID4+vp1bIoQQQghXlJWVERQU1N7N6NSk/ySEEEKcXdqy/6QyyrBhgwwGA9nZ2QQEBKBSqdy23dLSUuLj48nIyCAwMNBt2+2s5PVsPfLath55bVuXvL6tp6O+tkajkbKyMmL/v727D4qi/uMA/j4Bj8fTCA5DESifAlPTrCYtIU1MqEyxfJjSwR6VLBuzpmSk+mFa2ThDqTUh5ANKmM6UEpqCpkaNZk8MOpWCFj1gYqTnI9zn90dzF+dx3PGwC7f7fs3sTOx+d7/fe7fjfuZ7e7uRkejShU8f6Eisn7wD81QOs1UOs1UW81VOZ822I+on3hHlRpcuXdCrVy/Fjm8ymTrVSejtmKdymK1ymK2ymK9yOmO2vBOqc2D95F2Yp3KYrXKYrbKYr3I6Y7Zq10/8upCIiIiIiIiIiFTBiSgiIiIiIiIiIlIFJ6I6iNFoxKJFi2A0Gjt6KJrAPJXDbJXDbJXFfJXDbKmj8NxrX8xTOcxWOcxWWcxXOcz2P3xYORERERERERERqYJ3RBERERERERERkSo4EUVERERERERERKrgRBQREREREREREalCtxNRJSUlSEtLw4ABAxAUFISePXvivvvuw9dff+3U9tChQxgzZgyCg4PRvXt3TJw4EceOHXNo8+OPP2L+/PkYNmwYunfvjtDQUIwYMQKbNm1yOt7mzZsxdepU9OnTBwEBAYiJicH06dPx008/tegzeDIuAFi+fDkmTpyI2NhYGAwGJCQktKgfT+glT4vFgilTpqB///4ICQlBUFAQ4uPj8b///Q8Wi6VF/XlCL7kCgMFgaHJZsmRJi/rzlF6yzcvLc5mtkvkC+skYAH7//XfMnDkTZrMZ/v7+GDRoEHJyclrUl6e8Pdd9+/bhkUcewbBhw2A0GmEwGFBVVdVkWzWuX+Q5bz/3PB0XwNrJU52xdgL0ky3A+klr9ZNe8gXUrZ0A789Wc/WT6FRqaqokJibKihUrZPfu3VJYWCi33nqr+Pr6yq5du+ztDh8+LCEhIXL77bfLtm3b5KOPPpL4+HiJjIyUmpoae7vs7GwZMGCAZGVlyY4dO6SoqEhmzJghAOTll1926Pvmm2+We++9V1avXi27d++WtWvXyvXXXy/BwcFSXl7u0fg9HZeISP/+/WXo0KGSlpYm4eHhMmrUqNYH54Je8jx9+rQ88MADsmrVKtm+fbt89tlnkpGRIX5+fjJ69Og2puhML7mKiACQ1NRUKSsrc1iqq6vbkKBresm2pqbGKdOysjK56667BIAcOXKkjUm6ppeM//77b7n22mulV69ekpubK8XFxfZxLVu2rI0pOvP2XDMzMyU6OlomTJggCQkJAkAqKyubbKvG9Ys85+3nHmun/2i5dhLRT7YirJ+0Vj/pJV+1aycR789Wa/WTbiei/vzzT6d1Z86ckYiICIeL4uTJkyUsLEzq6urs66qqqsTPz08WLFhgX3fy5EmxWq1Ox0xOTpbAwEC5cOFCs31XV1eLn5+fzJo1y6PxezouEZGGhgb7f8fHxytyIuopz6YsWLBAAMjRo0c96s9TesoVgMyZM8ej47YHPWV7pbNnz0pwcLCMHDnSo75aSy8Zv/baawJADh486LD/2LFjJSgoSE6fPu1Rf57y9lwbX5PeeOONZgspNa5f5DlvP/dYO3We65CIcrWTiL6yZf2krfpJL/mqXTuJeH+2WqufdPvTPLPZ7LQuODgYcXFx+OWXXwAA9fX12Lp1KyZNmgSTyWRvFx0djcTERGzZssW+LiwsDAaDwemYN998M86dO4fa2tpm+46MjESvXr3sfTenJeMCgC5dlP/frKc8mxIeHg4A8PX1ddu2JfSeq5L0nG1BQQHOnj2LRx55xG1fbaGXjPfv34+IiAgMGzbM4RgpKSmwWCwoLi52219LeHOuQMuuSWpcv8hz3nzusXbqXNchQLnaCWC2StJztmrUT3rJV+3aCfDubAHt1U+df4Qqqqurw6FDhxAfHw8AOHr0KM6fP49BgwY5tR00aBB+/vlnXLhwodljlpaWIjw8vMmTr7Fjx47h+PHj9r6b0x7jUoOW8xQR1NfX459//kFxcTGWLVuGqVOnonfv3m77ayst55qfn4+AgAAYjUYMGzYMubm5bvtpT1rOtrGcnByYTCZMnjzZbV/tTYsZX7p0CUaj0amdbd3333/vtr+28pZcSXu85dxj7dTxeXZk7QRoO1vWT9qun7SYb2eonQDvyVaLOBHVyJw5c2CxWPDSSy8BAE6dOgUACA0NdWobGhoKEcHp06ddHu/999/H7t27sXDhQvj4+LhsV19fj1mzZiE4OBjz5s1zO862jkstWs6zoKAAfn5+6NatG+6++27cfffdWLNmjdu+2oNWc502bRrefvtt7NixA/n5+YiIiEBaWhoyMjLc9tVetJptY0eOHMEXX3yBqVOnIjAw0G1f7U2LGcfFxeHXX3/FiRMnHNrt27fP4VhK8pZcSXu85dxj7dTxeXZk7QRoN1vWT9qvn7SYb2eonQDvyVaL2v9eWC+VkZGB9evXIzs72+kWwaZuuXO37dNPP8WcOXOQmpqKp556yuX+IoJZs2Zh7969+OijjxAVFWXfZrVaYbVaHfpqfEK3Zlxq0XqeSUlJOHDgAM6cOYOysjIsXboUp06dwpYtWxS9FVLLua5fv95h26RJk3DPPfdgyZIlmDt3rv0WfqVoOdvGbG8jUfpneU3RasaPPfYYVq5cienTp2PVqlXo0aMHNm7ciIKCAgDK3x7tjbmSNnjjucfayZnWaydA29myftJ2/aTVfDu6dgK8M1tNUfYRVN4hMzNTAEhWVpbD+iNHjggAeeedd5z2mT9/vhgMBjl//rzTtuLiYvH395fk5GS5ePGiy36tVqukpaVJly5dZO3atU7bbU/dty22h4y1dlwi6jysTE952mzcuFEAyObNm5tt1xZ6zrWoqKjZdm2ll2wvXbokZrNZBg8e7HJMStF6xkVFRRIVFWU/TlRUlGRnZwsAefXVV12Or628LdcruXvYZmOd9WGbeuVt5x5rp6Z1hmu8krWTiL6zZf3k3fWT1vPtqNpJxPuyvZIW6ifdT0TZTsLMzEynbZcvX5aAgAB54oknnLYlJSVJ3759ndbbTsKkpCSHJ+VfyXYSGgwGWb16dZNtKisr5cCBA/bF9prQ1ozLRukTUW952hw7dkwAyJIlS9y2bQ295rphwwYBIMXFxW7btpaest28ebMAkOzsbJfjUoJeMrZarfLjjz9KRUWF1NfXS35+vgCQPXv2uBxjW3hjrlfSQiGlR9547rF2ctbR13ilaycR/WbL+sn76ye95Kt27STindleSQv1k64nol555RUBIAsXLnTZ5oEHHhCz2Sz//POPfd3x48ela9eu8vzzzzu03b59u/j7+8uYMWOa/abCarXKrFmzxGAwyHvvvdeqsbdkXI0peSLqMU+bnJwcASCbNm1qVf/N0XOu48ePFz8/Pzl58mSr+ndHb9kmJyeLv7+/1NbWtqrP1tBbxjYXL16UW265RYYMGdKqvt3x5lwb00IhpTfefO6xdvpPR/8bKaJs7SSi72xZP7nmDfWT3vK1Ubp2EvHubBvTQv2k24moN998UwDIuHHjpKyszGmxOXz4sAQHB8sdd9whRUVFsnnzZhk4cKBERkZKTU2Nvd3evXslICBAYmJipKSkxOl4dXV19rbp6ekCQNLS0pzaHTp0yKPxezouEZEDBw5IYWGhFBYWSlRUlMTFxdn/rqqqamOS/9JLnqtWrZLp06fLBx98ICUlJfLJJ5/IggULJCAgQG677Ta5fPlyO6T5H73k+vrrr8vMmTNl7dq1UlpaKgUFBTJ27FiX31a0B71ka1NdXS0+Pj4ybdq0NqTWMnrKOD09XTZt2iSlpaWSk5MjgwcPlquvvlrKy8vbmKIzb8+1pqbGfg16+OGHBYCsWLFCCgsLZffu3Q5t1bh+kee8/dxj7aSP2klEP9myftJe/aSnfNWsnUS8P1ut1U+6nYgaNWqUw+8vr1waO3jwoIwePVoCAwPFZDLJhAkT5Oeff3Zos2jRomaPV1paam8bHR3tsl10dLTHn8GTcYk4/9a08ZKbm9uS2FzSS5779++XlJQUiYyMlK5du0pgYKAMHjxYXn31VbFYLC3OzR295Prxxx/LyJEjJTw8XHx9fSUkJERuv/122bBhQ4sz85ResrXJysoSAFJSUuLx8dtKTxnfd999cs0114ifn5/06NFDZs6cqdiF3ttzLS0tdXmMK7+xU+P6RZ7z9nPP03GJsHbyVGesnUT0ky3rJ+3VT3rKV83aScT7s9Va/WQQEQEREREREREREZHClH8vIhERERERERERETgRRUREREREREREKuFEFBERERERERERqYITUUREREREREREpApORBERERERERERkSo4EUVERERERERERKrgRBQREREREREREamCE1FERERERERERKQKTkQRUbvIy8uDwWCwL/7+/ujRowcSExPx2muvoaamptXHrqioQGZmJqqqqtpvwI3s3bsXRqMRx48ft6+LiYlBSkpKk+0PHjwIg8GAvLw8VFVVOXzu5hbb+I8dO4b09HT069cPAQEBCAwMRHx8PBYuXIjq6mp7Pw899BAmTJigyGcmIiKijsf6ifUTkR75dvQAiEhbcnNzMWDAAFy+fBk1NTXYt28fli5dijfffBMFBQUYM2ZMi49ZUVGBl19+GQkJCYiJiWnX8YoInnnmGTz66KOIjo5u8f7XXHMNysrKHNbNnj0bdXV1WL9+vVPbrVu3YsqUKQgLC0N6ejpuvPFGGAwG/PDDD1i9ejW2bduGb775BgCQmZmJAQMGoKSkBHfeeWfrPyQRERF1aqyfWD8R6QknooioXQ0cOBA33XST/e9JkyZh3rx5GDlyJCZOnIiffvoJERERHThCR8XFxTh06BDy8/Nbtb/RaMStt97qsM5kMuHSpUtO6ysrKzFlyhT069cPpaWl6Natm33bnXfeiblz52LLli32dddddx3GjRuHJUuWsJAiIiLSMNZPrJ+I9IQ/zSMixfXu3RvLli3DmTNn8O6779rXHzx4EFOmTEFMTAwCAgIQExODqVOnOtzinZeXh8mTJwMAEhMT7bdp5+Xl2dvs3LkTo0ePhslkQmBgIEaMGIFdu3Z5NLaVK1di+PDh6N+/f/t82Ga89dZbsFgsWLFihUMRZWMwGDBx4kSHdQ899BB27tyJo0ePKj4+IiIi6jxYP/2L9ROR9nAiiohUMX78ePj4+ODzzz+3r6uqqkL//v2xfPlybN++HUuXLsXvv/+O4cOH46+//gIAJCcnY/HixQCAd955B2VlZSgrK0NycjIAYN26dRg7dixMJhM++OADfPjhhwgNDUVSUpLbYurSpUvYuXMnEhMTFfrUjnbs2IGIiAinb/qak5CQABFBUVGRgiMjIiKizoj1E+snIi3iT/OISBVBQUEICwvDb7/9Zl+XmpqK1NRU+98NDQ1ISUlBREQE8vPzMXfuXISHh6Nv374AgLi4OIci5Ny5c3j66aeRkpLicEv2+PHjMXToULz44ov46quvXI7p22+/xfnz5zF06ND2/KgunThxAkOGDGnRPmazGT179sT+/fvx1FNPKTMwIiIi6pRYP7F+ItIi3hFFRKoREYe/z549i+effx59+vSBr68vfH19ERwcDIvFgsOHD7s93hdffIHa2lrMmDED9fX19sVqtWLcuHE4cOAALBaLy/1tRZ3ZbG7bB1OY2Wx2eBsMERER6Qfrp9Zh/UTUefGOKCJShcViwalTp3DDDTfY102bNg27du1CRkYGhg8fDpPJBIPBgPHjx+P8+fNuj/nnn38CgMO3gleqra1FUFBQk9tsffj7+ztt8/X1RUNDQ5P71dfXAwD8/PzcjrGx3r17o7KyskX72MbnSR5ERESkLayfWD8RaREnoohIFdu2bUNDQwMSEhIAAHV1ddi6dSsWLVqEF154wd7u4sWLqK2t9eiYYWFhAIDs7GyXzw1o7g0ztv2b6i8iIsLlt2i29S19e01SUhKys7Px5Zdftug5B7W1te3+2mUiIiLq/Fg/sX4i0iL+NI+IFHfixAnMnz8f3bp1w+OPPw7g3zeciAiMRqND2/fff9/pmzRbmyu/1RoxYgS6d++OiooK3HTTTU0uXbt2dTmu66+/HgCafKPKmDFjUF5ejoqKCqdtH374IYKDg3HLLbd48On/M2/ePAQFBWH27Nmoq6tz2i4iDs9qAP799vCXX35BXFxci/oiIiIi78b66V+sn4i0h3dEEVG7Ki8vtz9roKamBnv37kVubi58fHywZcsWhIeHAwBMJhPuuOMOvPHGGwgLC0NMTAz27NmDnJwcdO/e3eGYAwcOBAC89957CAkJgb+/P2JjY3H11VcjOzsbM2bMQG1tLVJTU2E2m3Hy5El89913OHnyJFauXOlyrL169cK1116LL7/8EnPnznXY9vTTT2PNmjVISEjAiy++iBtuuAGnT59GQUEBNm3ahLfeegshISEtyiY2NhYbN27Egw8+iCFDhiA9PR033ngjAKCiogKrV6+GiOD++++37/P999/j3Llzqr2ZhoiIiNTH+sk11k9EGiRERO0gNzdXANiXrl27itlsllGjRsnixYulpqbGaZ9ff/1VJk2aJFdddZWEhITIuHHjpLy8XKKjo2XGjBkObZcvXy6xsbHi4+MjACQ3N9e+bc+ePZKcnCyhoaHi5+cnPXv2lOTkZCksLHQ77oyMDLnqqqvkwoULTtv++OMPefLJJ6V3797i6+srISEhMnLkSLfHHTVqlMTHx7vcfvToUZk9e7b06dNHjEajBAQESFxcnDz77LNSWVnpNL6wsLAmx0dERETejfXTf1g/EemHQeSK1zAQEenIb7/9htjYWKxZswYPPvhgRw/HQUNDA/r06YNp06YhKyuro4dDREREBID1ExG1DZ8RRUS6FhkZiWeeeQZZWVmwWq0dPRwH69atw9mzZ/Hcc8919FCIiIiI7Fg/EVFb8BlRRKR7CxcuRGBgIKqrqxEVFdXRw7GzWq1Yv3690zMfiIiIiDoa6yciai3+NI+IiIiIiIiIiFTBn+YREREREREREZEqOBFFRERERERERESq4EQUERERERERERGpghNRRERERERERESkCk5EERERERERERGRKjgRRUREREREREREquBEFBERERERERERqYITUUREREREREREpIr/A2FjJbpF+KFjAAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.dates as mdates\n", "plt.rcParams['font.size'] = 12\n", "\n", "fig,[[ax,ax2],[ax3,ax4],[ax5,ax6]] = plt.subplots(3,2,figsize=(14,9))\n", "\n", "ax.plot(data_uvel_resamp.index,data_uvel_resamp['current_velocity_east'],color='grey',label='Observations')\n", "ax.plot(data_uvel_resamp.index,data_uvel_resamp['mod_east_vel'],color='teal',label='model',alpha=0.7)\n", "ax.xaxis.set_major_locator(mdates.MonthLocator(interval=2))\n", "ax.set_ylabel(f'u-velocity (m s$^{{-1}}$)')\n", "\n", "ax2.plot(data_vvel_resamp.index,data_vvel_resamp['current_velocity_north'],color='grey',label='Observations')\n", "ax2.plot(data_vvel_resamp.index,data_vvel_resamp['mod_north_vel'],color='teal',label='model',alpha=0.7)\n", "ax2.xaxis.set_major_locator(mdates.MonthLocator(interval=2))\n", "ax2.set_ylabel(f'v-velocity (m s$^{{-1}}$)')\n", "ax2.legend(loc=2)\n", "\n", "ax3.plot(data_uvel_jdf_resamp.index,data_uvel_jdf_resamp['current_velocity_east'],color='grey')\n", "ax3.plot(data_uvel_jdf_resamp.index,data_uvel_jdf_resamp['mod_east_vel'],color='teal',alpha=0.7)\n", "ax3.xaxis.set_major_locator(mdates.MonthLocator(interval=2))\n", "ax3.set_ylabel(f'u-velocity (m s$^{{-1}}$)')\n", "\n", "ax4.plot(data_vvel_jdf_resamp.index,data_vvel_jdf_resamp['current_velocity_north'],color='grey')\n", "ax4.plot(data_vvel_jdf_resamp.index,data_vvel_jdf_resamp['mod_north_vel'],color='teal',alpha=0.7)\n", "ax4.xaxis.set_major_locator(mdates.MonthLocator(interval=2))\n", "ax4.set_ylabel(f'v-velocity (m s$^{{-1}}$)')\n", "\n", "ax5.plot(data_uvel_sog_resamp.index,data_uvel_sog_resamp['current_velocity_east'],color='grey')\n", "ax5.plot(data_uvel_sog_resamp.index,data_uvel_sog_resamp['mod_east_vel'],color='teal',alpha=0.7)\n", "ax5.set_ylabel(f'u-velocity (m s$^{{-1}}$)')\n", "ax5.xaxis.set_major_locator(mdates.MonthLocator(interval=2))\n", "ax5.set_xlabel('Date (UTC)')\n", "\n", "ax6.plot(data_vvel_sog_resamp.index,data_vvel_sog_resamp['current_velocity_north'],color='grey')\n", "ax6.plot(data_vvel_sog_resamp.index,data_vvel_sog_resamp['mod_north_vel'],color='teal',alpha=0.7)\n", "ax6.set_ylabel(f'v-velocity (m s$^{{-1}}$)')\n", "ax6.xaxis.set_major_locator(mdates.MonthLocator(interval=2))\n", "ax6.set_xlabel('Date (UTC)')\n", "# ax.legend(loc=4)\n", "\n", "ax.text(0.05, 0.9, \"Boundary Pass\", transform=ax.transAxes, fontsize=14)\n", "ax3.text(0.05, 0.9, \"Eastern JdF\", transform=ax3.transAxes, fontsize=14)\n", "ax5.text(0.05, 0.9, \"Southern SoG\", transform=ax5.transAxes, fontsize=14)\n", "\n", "met_bp_uvel = f\"RMSE: {np.round(d_uvel_resamp['rmse'][0],2)} m s$^{{-1}}$ \\nWSS: {np.round(d_uvel_resamp['swillmott'][0],3)} \\nbias: {np.round(d_uvel_resamp['bias'][0],2)} m s$^{{-1}}$\"\n", "ax.text(0.55, 0.08, met_bp_uvel, transform=ax.transAxes, fontsize=10,bbox=dict(facecolor='w', edgecolor='black', pad=5))\n", "met_bp_vvel = f\"RMSE: {np.round(d_vvel_resamp['rmse'][0],2)} m s$^{{-1}}$ \\nWSS: {np.round(d_vvel_resamp['swillmott'][0],3)} \\nbias: {np.round(d_vvel_resamp['bias'][0],2)} m s$^{{-1}}$\"\n", "ax2.text(0.70, 0.08, met_bp_vvel, transform=ax2.transAxes, fontsize=10,bbox=dict(facecolor='w', edgecolor='black', pad=5))\n", "\n", "met_jdf_uvel = f\"RMSE: {np.round(d_uvel_jdf_resamp['rmse'][0],2)} m s$^{{-1}}$ \\nWSS: {np.round(d_uvel_jdf_resamp['swillmott'][0],3)} \\nbias: {np.round(d_uvel_jdf_resamp['bias'][0],2)} m s$^{{-1}}$\"\n", "ax3.text(0.72, 0.7, met_jdf_uvel, transform=ax3.transAxes, fontsize=10,bbox=dict(facecolor='w', edgecolor='black', pad=5))\n", "met_jdf_vvel = f\"RMSE: {np.round(d_vvel_jdf_resamp['rmse'][0],2)} m s$^{{-1}}$ \\nWSS: {np.round(d_vvel_jdf_resamp['swillmott'][0],3)} \\nbias: {np.round(d_vvel_jdf_resamp['bias'][0],2)} m s$^{{-1}}$\"\n", "ax4.text(0.72, 0.7, met_jdf_vvel, transform=ax4.transAxes, fontsize=10,bbox=dict(facecolor='w', edgecolor='black', pad=5))\n", "\n", "met_sog_uvel = f\"RMSE: {np.round(d_uvel_sog_resamp['rmse'][0],2)} m s$^{{-1}}$ \\nWSS: {np.round(d_uvel_sog_resamp['swillmott'][0],3)} \\nbias: {np.round(d_uvel_sog_resamp['bias'][0],2)} m s$^{{-1}}$\"\n", "ax5.text(0.72, 0.69, met_sog_uvel, transform=ax5.transAxes, fontsize=10,bbox=dict(facecolor='w', edgecolor='black', pad=5))\n", "met_sog_vvel = f\"RMSE: {np.round(d_vvel_sog_resamp['rmse'][0],2)} m s$^{{-1}}$ \\nWSS: {np.round(d_vvel_sog_resamp['swillmott'][0],3)} \\nbias: {np.round(d_vvel_sog_resamp['bias'][0],2)} m s$^{{-1}}$\"\n", "ax6.text(0.72, 0.69, met_sog_vvel, transform=ax6.transAxes, fontsize=10,bbox=dict(facecolor='w', edgecolor='black', pad=5))\n", "\n", "ax.set_ylim([-1.5,1.8])\n", "ax2.set_ylim([-1.5,1.8])\n", "ax3.set_ylim([-1.5,1.8])\n", "ax4.set_ylim([-1.5,1.8])\n", "ax5.set_ylim([-1.5,1.8])\n", "ax6.set_ylim([-1.5,1.8])\n", "# fig.subplots_adjust(hspace=0.32)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Combined figure" ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
Salinity1421870.04560.5130.5110.9520.010.3480.04720.5080.0203
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 numberbiasrmsecrmseswillmottslopedevconstsystematicnonsystematicspread
Temperature1421870.003290.4220.4220.970.03570.3370.04450.4120.063
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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "cmap = cm.dense\n", "from matplotlib.patheffects import withStroke\n", "plt.rcParams.update({'font.size': 13})\n", "vmax = 20\n", "vmin = 4\n", "dbin = 0.2\n", "\n", "\n", "fig = plt.figure(figsize=(15,22))\n", "gs_parent = fig.add_gridspec(2, 1, height_ratios=[0.4, 0.6], hspace=0.13)\n", "gs_top = gs_parent[0].subgridspec(2, 4, width_ratios=[1, 1, 1, 1.2], hspace=0.22, wspace=0.1)\n", "gs_bottom = gs_parent[1].subgridspec(3, 4, width_ratios=[1, 1, 1, 1.2], hspace=0.2, wspace=0.42)\n", "\n", "\n", "# gs = fig.add_gridspec(5, 4, width_ratios=[1, 1, 1, 1.2])\n", "# gs_top = fig.add_gridspec(2, 4, width_ratios=[1, 1, 1, 1.2], hspace=0.27, wspace=0.1,bottom=0.54)\n", "# gs_bottom = fig.add_gridspec(3, 4, width_ratios=[1, 1, 1, 1.2], hspace=0.25, wspace=0.32,top=0.48)\n", "\n", "ax = fig.add_subplot(gs_top[0, 0])\n", "ax3 = fig.add_subplot(gs_top[0, 1])\n", "ax5 = fig.add_subplot(gs_top[0, 2])\n", "ax7 = fig.add_subplot(gs_top[0, 3])\n", "ax2 = fig.add_subplot(gs_top[1, 0])\n", "ax4 = fig.add_subplot(gs_top[1, 1])\n", "ax6 = fig.add_subplot(gs_top[1, 2])\n", "ax8 = fig.add_subplot(gs_top[1, 3])\n", "ax9 = fig.add_subplot(gs_bottom[0,0:2])\n", "ax10 = fig.add_subplot(gs_bottom[0, 2:])\n", "ax11 = fig.add_subplot(gs_bottom[1, :2])\n", "ax12 = fig.add_subplot(gs_bottom[1, 2:])\n", "ax13 = fig.add_subplot(gs_bottom[2, :2])\n", "ax14 = fig.add_subplot(gs_bottom[2, 2:])\n", "\n", "counts, xedges, yedges, color = ax.hist2d(temp_data_ros['consT'],temp_data_ros['mod_votemper'], \n", " bins=np.arange(vmin, vmax, dbin), norm=LogNorm(), cmap=cmap);\n", "ax.set_xlabel(f'Observed {theta_sym} (°C)')\n", "ax.set_ylabel(f'Modelled {theta_sym} (°C)')\n", "# color.set_clim(vmax=1000)\n", "# fig.colorbar(color, ax=ax)\n", "ax.plot(np.arange(0,vmax,0.5),np.arange(0,vmax,0.5),color='k')\n", "a1,b1,stm,nstm = wolfram_perp(temp_data_ros,'consT','mod_votemper')\n", "line = a1+np.arange(vmin, vmax, 0.5)*b1\n", "ax.plot(np.arange(vmin, vmax, 0.5),line,'r')\n", "ax.set_ylim([4,20])\n", "ax.set_xlim([4,20])\n", "\n", "counts, xedges, yedges, color = ax2.hist2d(sal_data_ros['SA'],sal_data_ros['mod_vosaline'], \n", " bins=np.arange(20, 34, 0.2), norm=LogNorm(), cmap=cmap);\n", "ax2.set_xlabel('Observed salinity (g kg$^{{-1}}$)')\n", "ax2.set_ylabel('Modelled salinity (g kg$^{{-1}}$)')\n", "# color.set_clim(vmax=1000)\n", "# fig.colorbar(color, ax=ax2)\n", "ax2.plot(np.arange(20,34,0.2),np.arange(20,34,0.2),color='k')\n", "a1,b1,stm,nstm = wolfram_perp(sal_data_ros,'SA','mod_vosaline')\n", "line = a1+np.arange(20, 34, 0.2)*b1\n", "ax2.plot(np.arange(20, 34, 0.2),line,'r')\n", "ax2.set_ylim([20,34])\n", "ax2.set_xlim([20,34])\n", "\n", "counts, xedges, yedges, color = ax3.hist2d(temp_data_haro['consT'],temp_data_haro['mod_votemper'], \n", " bins=np.arange(vmin, vmax, dbin), norm=LogNorm(), cmap=cmap);\n", "ax3.set_xlabel(f'Observed {theta_sym} (°C)')\n", "# ax3.set_ylabel(f'Modelled {theta_sym} (°C)')\n", "# color.set_clim(vmax=1000)\n", "# fig.colorbar(color, ax=ax3)\n", "ax3.plot(np.arange(0,vmax,0.5),np.arange(0,vmax,0.5),color='k')\n", "a1,b1,stm,nstm = wolfram_perp(temp_data_haro,'consT','mod_votemper')\n", "line = a1+np.arange(vmin, vmax, 0.5)*b1\n", "ax3.plot(np.arange(vmin, vmax, 0.5),line,'r')\n", "ax3.set_ylim([4,20])\n", "ax3.set_xlim([4,20])\n", "ax3.set_yticklabels([])\n", "\n", "counts, xedges, yedges, color = ax4.hist2d(sal_data_haro['SA'],sal_data_haro['mod_vosaline'], \n", " bins=np.arange(20, 34, 0.2), norm=LogNorm(), cmap=cmap);\n", "ax4.set_xlabel('Observed salinity (g kg$^{{-1}}$)')\n", "# ax4.set_ylabel('Modelled salinity (g/kg)')\n", "# color.set_clim(vmax=1000)\n", "# fig.colorbar(color, ax=ax4)\n", "ax4.plot(np.arange(20,34,0.1),np.arange(20,34,0.1),color='k')\n", "a1,b1,stm,nstm = wolfram_perp(sal_data_haro,'SA','mod_vosaline')\n", "line = a1+np.arange(20, 34, 0.1)*b1\n", "ax4.plot(np.arange(20, 34, 0.1),line,'r')\n", "ax4.set_ylim([20,34])\n", "ax4.set_xlim([20,34])\n", "ax4.set_yticklabels([])\n", "\n", "counts, xedges, yedges, color = ax5.hist2d(temp_data_ejdf['consT'],temp_data_ejdf['mod_votemper'], \n", " bins=np.arange(vmin, vmax, dbin), norm=LogNorm(), cmap=cmap);\n", "ax5.set_xlabel(f'Observed {theta_sym} (°C)')\n", "# ax5.set_ylabel(f'Modelled {theta_sym} (°C)')\n", "# color.set_clim(vmax=1000)\n", "# fig.colorbar(color, ax=ax5)\n", "ax5.plot(np.arange(0,vmax,0.5),np.arange(0,vmax,0.5),color='k')\n", "a1,b1,stm,nstm = wolfram_perp(temp_data_ejdf,'consT','mod_votemper')\n", "line = a1+np.arange(vmin, vmax, 0.5)*b1\n", "ax5.plot(np.arange(vmin, vmax, 0.5),line,'r')\n", "ax5.set_ylim([4,20])\n", "ax5.set_xlim([4,20])\n", "ax5.set_yticklabels([])\n", "\n", "counts, xedges, yedges, color = ax6.hist2d(sal_data_ejdf['SA'],sal_data_ejdf['mod_vosaline'], \n", " bins=np.arange(20, 34, 0.2), norm=LogNorm(), cmap=cmap);\n", "ax6.set_xlabel('Observed salinity (g kg$^{{-1}}$)')\n", "# ax6.set_ylabel('Modelled salinity (g/kg)')\n", "# color.set_clim(vmax=1000)\n", "# fig.colorbar(color, ax=ax6)\n", "ax6.plot(np.arange(20, 34,0.1),np.arange(20, 34,0.1),color='k')\n", "a1,b1,stm,nstm = wolfram_perp(sal_data_ejdf,'SA','mod_vosaline')\n", "line = a1+np.arange(20, 34, 0.1)*b1\n", "ax6.plot(np.arange(20, 34, 0.1),line,'r')\n", "ax6.set_ylim([20,34])\n", "ax6.set_xlim([20,34])\n", "ax6.set_yticklabels([])\n", "\n", "counts, xedges, yedges, color = ax7.hist2d(temp_data_sog['consT'],temp_data_sog['mod_votemper'], \n", " bins=np.arange(vmin, 20, dbin), norm=LogNorm(), cmap=cmap);\n", "ax7.set_xlabel(f'Observed {theta_sym} (°C)')\n", "# ax7.set_ylabel(f'Modelled {theta_sym} (°C)')\n", "color.set_clim(vmax=1000)\n", "cb = fig.colorbar(color, ax=ax7)\n", "cb.set_label('Count')\n", "ax7.plot(np.arange(0,20,0.5),np.arange(0,20,0.5),color='k')\n", "a1,b1,stm,nstm = wolfram_perp(temp_data_sog,'consT','mod_votemper')\n", "line = a1+np.arange(vmin, 20, 0.5)*b1\n", "ax7.plot(np.arange(vmin, 20, 0.5),line,'r')\n", "ax7.set_ylim([4,20])\n", "ax7.set_xlim([4,20])\n", "ax7.set_yticklabels([])\n", "\n", "counts, xedges, yedges, color = ax8.hist2d(sal_data_sog['SA'],sal_data_sog['mod_vosaline'], \n", " bins=np.arange(20, 34, 0.2), norm=LogNorm(), cmap=cmap);\n", "ax8.set_xlabel(f'Observed salinity (g kg$^{{-1}}$)')\n", "# ax8.set_ylabel('Modelled salinity (g/kg)')\n", "color.set_clim(vmax=1000)\n", "cb = fig.colorbar(color, ax=ax8)\n", "cb.set_label('Count')\n", "ax8.plot(np.arange(20, 34,0.1),np.arange(20, 34,0.1),color='k')\n", "a1,b1,stm,nstm = wolfram_perp(sal_data_sog,'SA','mod_vosaline')\n", "line = a1+np.arange(20, 34, 0.1)*b1\n", "ax8.plot(np.arange(20, 34, 0.1),line,'r')\n", "ax8.set_ylim([20,34])\n", "ax8.set_xlim([20,34])\n", "ax8.set_yticklabels([])\n", "\n", "\n", "display(d_sal_sog.style.format(myformat).apply(highlight_max_min))\n", "display(d_temp_sog.style.format(myformat).apply(highlight_max_min))\n", "\n", "# ax.text(0.5, 0.9, 'Rosario Strait', ha='center', va='center', fontsize=16)\n", "# ax3.text(0.5, 0.7, 'Haro Strait', ha='center', va='center', fontsize=16)\n", "# ax5.text(0.5, 0.48, 'Eastern JdF', ha='center', va='center', fontsize=16)\n", "# ax7.text(0.5, 0.28, 'Southern SoG', ha='center', va='center', fontsize=16)\n", "\n", "ax.text(0.2, 0.9, \"Rosario Strait\", transform=ax.transAxes, fontsize=14)\n", "ax3.text(0.2, 0.9, \"Haro Strait\", transform=ax3.transAxes, fontsize=14)\n", "ax5.text(0.2, 0.9, \"Eastern JdF\", transform=ax5.transAxes, fontsize=14)\n", "ax7.text(0.2, 0.9, \"Southern SoG\", transform=ax7.transAxes, fontsize=14)\n", "\n", "met_ros_temp = f\"RMSE: {np.round(d_temp_ros['rmse'][0],2)} °C \\nWSS: {np.round(d_temp_ros['swillmott'][0],3)} \\nbias: {np.round(d_temp_ros['bias'][0],3)} °C\"\n", "ax.text(0.47, 0.05, met_ros_temp, transform=ax.transAxes, fontsize=12,bbox=dict(facecolor='None', edgecolor='black', pad=5))\n", "\n", "met_haro_temp = f\"RMSE: {np.round(d_temp_haro['rmse'][0],2)} °C \\nWSS: {np.round(d_temp_haro['swillmott'][0],3)} \\nbias: {np.round(d_temp_haro['bias'][0],2)} °C\"\n", "ax3.text(0.47, 0.05, met_haro_temp, transform=ax3.transAxes, fontsize=12,bbox=dict(facecolor='None', edgecolor='black', pad=5))\n", "\n", "met_ejdf_temp = f\"RMSE: {np.round(d_temp_ejdf['rmse'][0],2)} °C \\nWSS: {np.round(d_temp_ejdf['swillmott'][0],3)} \\nbias: {np.round(d_temp_ejdf['bias'][0],2)} °C\"\n", "ax5.text(0.50, 0.05, met_ejdf_temp, transform=ax5.transAxes, fontsize=12,bbox=dict(facecolor='None', edgecolor='black', pad=5))\n", "met_sog_temp = f\"RMSE: {np.round(d_temp_sog['rmse'][0],2)} °C \\nWSS: {np.round(d_temp_sog['swillmott'][0],3)} \\nbias: {np.round(d_temp_sog['bias'][0],2)} °C\"\n", "ax7.text(0.45, 0.05, met_sog_temp, transform=ax7.transAxes, fontsize=12,bbox=dict(facecolor='None', edgecolor='black', pad=5))\n", "\n", "met_ros_sal = f\"RMSE: {np.round(d_sal_ros['rmse'][0],2)} g kg$^{{-1}}$\\nWSS: {np.round(d_sal_ros['swillmott'][0],3)} \\nbias: {np.round(d_sal_ros['bias'][0],2)} g kg$^{{-1}}$\"\n", "ax2.text(0.37, 0.05, met_ros_sal, transform=ax2.transAxes, fontsize=12,bbox=dict(facecolor='None', edgecolor='black', pad=5))\n", "\n", "met_haro_sal = f\"RMSE: {np.round(d_sal_haro['rmse'][0],2)} g kg$^{{-1}}$\\nWSS: {np.round(d_sal_haro['swillmott'][0],3)} \\nbias: {np.round(d_sal_haro['bias'][0],2)} g kg$^{{-1}}$\"\n", "ax4.text(0.37, 0.05, met_haro_sal, transform=ax4.transAxes, fontsize=12,bbox=dict(facecolor='None', edgecolor='black', pad=5))\n", "\n", "met_ejdf_sal = f\"RMSE: {np.round(d_sal_ejdf['rmse'][0],2)} g kg$^{{-1}}$\\nWSS: {np.round(d_sal_ejdf['swillmott'][0],3)} \\nbias: {np.round(d_sal_ejdf['bias'][0],2)} g kg$^{{-1}}$\"\n", "ax6.text(0.37, 0.05, met_ejdf_sal, transform=ax6.transAxes, fontsize=12,bbox=dict(facecolor='None', edgecolor='black', pad=5))\n", "\n", "met_sog_sal = f\"RMSE: {np.round(d_sal_sog['rmse'][0],2)} g kg$^{{-1}}$\\nWSS: {np.round(d_sal_sog['swillmott'][0],3)} \\nbias: {np.round(d_sal_sog['bias'][0],2)} g kg$^{{-1}}$\"\n", "ax8.text(0.33, 0.05, met_sog_sal, transform=ax8.transAxes, fontsize=12,bbox=dict(facecolor='None', edgecolor='black', pad=5))\n", "\n", "# ax.text(0.45, -0.24, \"(a)\", transform=ax.transAxes)\n", "# ax3.text(0.45, -0.24, \"(b)\", transform=ax3.transAxes)\n", "# ax5.text(0.45, -0.24, \"(c)\", transform=ax5.transAxes)\n", "# ax7.text(0.45, -0.24, \"(d)\", transform=ax7.transAxes)\n", "\n", "# ax2.text(0.45, -0.24, \"(e)\", transform=ax2.transAxes)\n", "# ax4.text(0.45, -0.24, \"(f)\", transform=ax4.transAxes)\n", "# ax6.text(0.45, -0.24, \"(g)\", transform=ax6.transAxes)\n", "# ax8.text(0.45, -0.24, \"(h)\", transform=ax8.transAxes)\n", "\n", "# Adjust layout\n", "fig.subplots_adjust(wspace=0.1,hspace=0.25)\n", "\n", "\n", "###############\n", "## Currents\n", "###############\n", "\n", "ax9.plot(data_uvel_resamp.index,data_uvel_resamp['current_velocity_east'],color='grey',label='Observations')\n", "ax9.plot(data_uvel_resamp.index,data_uvel_resamp['mod_east_vel'],color='teal',label='model',alpha=0.7)\n", "ax9.xaxis.set_major_locator(mdates.MonthLocator(interval=2))\n", "ax9.set_ylabel(f'u-velocity (m s$^{{-1}}$)')\n", "\n", "ax10.plot(data_vvel_resamp.index,data_vvel_resamp['current_velocity_north'],color='grey',label='Observations')\n", "ax10.plot(data_vvel_resamp.index,data_vvel_resamp['mod_north_vel'],color='teal',label='model',alpha=0.7)\n", "ax10.xaxis.set_major_locator(mdates.MonthLocator(interval=2))\n", "ax10.set_ylabel(f'v-velocity (m s$^{{-1}}$)')\n", "ax10.legend(loc=1)\n", "\n", "ax11.plot(data_uvel_jdf_resamp.index,data_uvel_jdf_resamp['current_velocity_east'],color='grey')\n", "ax11.plot(data_uvel_jdf_resamp.index,data_uvel_jdf_resamp['mod_east_vel'],color='teal',alpha=0.7)\n", "ax11.xaxis.set_major_locator(mdates.MonthLocator(interval=2))\n", "ax11.set_ylabel(f'u-velocity (m s$^{{-1}}$)')\n", "\n", "ax12.plot(data_vvel_jdf_resamp.index,data_vvel_jdf_resamp['current_velocity_north'],color='grey')\n", "ax12.plot(data_vvel_jdf_resamp.index,data_vvel_jdf_resamp['mod_north_vel'],color='teal',alpha=0.7)\n", "ax12.xaxis.set_major_locator(mdates.MonthLocator(interval=2))\n", "ax12.set_ylabel(f'v-velocity (m s$^{{-1}}$)')\n", "\n", "ax13.plot(data_uvel_sog_resamp.index,data_uvel_sog_resamp['current_velocity_east'],color='grey')\n", "ax13.plot(data_uvel_sog_resamp.index,data_uvel_sog_resamp['mod_east_vel'],color='teal',alpha=0.7)\n", "ax13.set_ylabel(f'u-velocity (m s$^{{-1}}$)')\n", "ax13.xaxis.set_major_locator(mdates.MonthLocator(interval=2))\n", "ax13.set_xlabel('Date (UTC)')\n", "\n", "ax14.plot(data_vvel_sog_resamp.index,data_vvel_sog_resamp['current_velocity_north'],color='grey')\n", "ax14.plot(data_vvel_sog_resamp.index,data_vvel_sog_resamp['mod_north_vel'],color='teal',alpha=0.7)\n", "ax14.set_ylabel(f'v-velocity (m s$^{{-1}}$)')\n", "ax14.xaxis.set_major_locator(mdates.MonthLocator(interval=2))\n", "ax14.set_xlabel('Date (UTC)')\n", "# ax.legend(loc=4)\n", "\n", "ax9.text(0.1, 0.9, \"Boundary Pass\", transform=ax9.transAxes, fontsize=14)\n", "ax11.text(0.1, 0.9, \"Eastern JdF\", transform=ax11.transAxes, fontsize=14)\n", "ax13.text(0.1, 0.9, \"Southern SoG\", transform=ax13.transAxes, fontsize=14)\n", "\n", "met_bp_uvel = f\"RMSE: {np.round(d_uvel_resamp['rmse'][0],2)} m s$^{{-1}}$ \\nWSS: {np.round(d_uvel_resamp['swillmott'][0],3)} \\nbias: {np.round(d_uvel_resamp['bias'][0],2)} m s$^{{-1}}$\"\n", "ax9.text(0.55, 0.08, met_bp_uvel, transform=ax9.transAxes, fontsize=12,bbox=dict(facecolor='w', edgecolor='black', pad=5))\n", "met_bp_vvel = f\"RMSE: {np.round(d_vvel_resamp['rmse'][0],2)} m s$^{{-1}}$ \\nWSS: {np.round(d_vvel_resamp['swillmott'][0],3)} \\nbias: {np.round(d_vvel_resamp['bias'][0],2)} m s$^{{-1}}$\"\n", "ax10.text(0.70, 0.08, met_bp_vvel, transform=ax10.transAxes, fontsize=12,bbox=dict(facecolor='w', edgecolor='black', pad=5))\n", "\n", "met_jdf_uvel = f\"RMSE: {np.round(d_uvel_jdf_resamp['rmse'][0],2)} m s$^{{-1}}$ \\nWSS: {np.round(d_uvel_jdf_resamp['swillmott'][0],3)} \\nbias: {np.round(d_uvel_jdf_resamp['bias'][0],2)} m s$^{{-1}}$\"\n", "ax11.text(0.68, 0.75, met_jdf_uvel, transform=ax11.transAxes, fontsize=12,bbox=dict(facecolor='w', edgecolor='black', pad=5))\n", "met_jdf_vvel = f\"RMSE: {np.round(d_vvel_jdf_resamp['rmse'][0],2)} m s$^{{-1}}$ \\nWSS: {np.round(d_vvel_jdf_resamp['swillmott'][0],3)} \\nbias: {np.round(d_vvel_jdf_resamp['bias'][0],2)} m s$^{{-1}}$\"\n", "ax12.text(0.7, 0.75, met_jdf_vvel, transform=ax12.transAxes, fontsize=12,bbox=dict(facecolor='w', edgecolor='black', pad=5))\n", "\n", "met_sog_uvel = f\"RMSE: {np.round(d_uvel_sog_resamp['rmse'][0],2)} m s$^{{-1}}$ \\nWSS: {np.round(d_uvel_sog_resamp['swillmott'][0],3)} \\nbias: {np.round(d_uvel_sog_resamp['bias'][0],2)} m s$^{{-1}}$\"\n", "ax13.text(0.68, 0.75, met_sog_uvel, transform=ax13.transAxes, fontsize=12,bbox=dict(facecolor='w', edgecolor='black', pad=5))\n", "met_sog_vvel = f\"RMSE: {np.round(d_vvel_sog_resamp['rmse'][0],2)} m s$^{{-1}}$ \\nWSS: {np.round(d_vvel_sog_resamp['swillmott'][0],3)} \\nbias: {np.round(d_vvel_sog_resamp['bias'][0],2)} m s$^{{-1}}$\"\n", "ax14.text(0.7, 0.75, met_sog_vvel, transform=ax14.transAxes, fontsize=12,bbox=dict(facecolor='w', edgecolor='black', pad=5))\n", "\n", "ax9.set_ylim([-1.5,1.8])\n", "ax10.set_ylim([-1.5,1.8])\n", "ax11.set_ylim([-1.5,1.8])\n", "ax12.set_ylim([-1.5,1.8])\n", "ax13.set_ylim([-1.5,1.8])\n", "ax14.set_ylim([-1.5,1.8])\n", "# fig.subplots_adjust(hspace=0.32)\n", "\n", "ax.text(0.03, 0.9305, \"(a)\", transform=ax.transAxes, fontsize=12,bbox=dict(facecolor='lightblue', edgecolor='None', pad=5))\n", "ax3.text(0.035,0.9305, \"(b)\", transform=ax3.transAxes, fontsize=12,bbox=dict(facecolor='lightblue', edgecolor='None', pad=5))\n", "ax5.text(0.03,0.9305, \"(c)\", transform=ax5.transAxes, fontsize=12,bbox=dict(facecolor='lightblue', edgecolor='None', pad=5))\n", "ax7.text(0.035,0.9305, \"(d)\", transform=ax7.transAxes, fontsize=12,bbox=dict(facecolor='lightblue', edgecolor='None', pad=5))\n", "ax2.text(0.03, 0.9305, \"(e)\", transform=ax2.transAxes, fontsize=12,bbox=dict(facecolor='lightblue', edgecolor='None', pad=5))\n", "ax4.text(0.035, 0.9305, \"(f)\", transform=ax4.transAxes, fontsize=12,bbox=dict(facecolor='lightblue', edgecolor='None', pad=5))\n", "ax6.text(0.03, 0.9305, \"(g)\", transform=ax6.transAxes, fontsize=12,bbox=dict(facecolor='lightblue', edgecolor='None', pad=5))\n", "ax8.text(0.035, 0.9305, \"(h)\", transform=ax8.transAxes, fontsize=12,bbox=dict(facecolor='lightblue', edgecolor='None', pad=5))\n", "ax9.text(0.0145, 0.9305, \"(i)\", transform=ax9.transAxes, fontsize=12,bbox=dict(facecolor='lightblue', edgecolor='None', pad=5))\n", "ax10.text(0.0145, 0.9305, \"(j)\", transform=ax10.transAxes, fontsize=12,bbox=dict(facecolor='lightblue', edgecolor='None', pad=5))\n", "ax11.text(0.0145, 0.9305, \"(k)\", transform=ax11.transAxes, fontsize=12,bbox=dict(facecolor='lightblue', edgecolor='None', pad=5))\n", "ax12.text(0.0145, 0.9305, \"(l)\", transform=ax12.transAxes, fontsize=12,bbox=dict(facecolor='lightblue', edgecolor='None', pad=5))\n", "ax13.text(0.0145, 0.9305, \"(m)\", transform=ax13.transAxes, fontsize=12,bbox=dict(facecolor='lightblue', edgecolor='None', pad=5))\n", "ax14.text(0.0145, 0.9305, \"(n)\", transform=ax14.transAxes, fontsize=12,bbox=dict(facecolor='lightblue', edgecolor='None', pad=5))\n" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [], "source": [ "fig.savefig('/ocean/cstang/MOAD/analysis-camryn/Figures/ME_combined.png',bbox_inches='tight')" ] } ], "metadata": { "kernelspec": { "display_name": "analysis-camryn", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.6" } }, "nbformat": 4, "nbformat_minor": 2 }