Skip to content

Instantly share code, notes, and snippets.

@ericdill
Created March 17, 2015 18:13
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save ericdill/cdf8fb1b86f4210ba451 to your computer and use it in GitHub Desktop.
Save ericdill/cdf8fb1b86f4210ba451 to your computer and use it in GitHub Desktop.
{
"metadata": {
"name": "",
"signature": "sha256:99ca63ecc5c9fe998ed4fd04b1399099f64b62a231cec3d72c27eb8c921dc740"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#Calibration of a detector parameters using a single crystal\n",
"###(*e.g. ruby standard*)\n",
"\n",
"This script is made to run using the yml file and output of `fit-grains`. The script uses soon-to-be-deprecated detector parameters exported by the GUI and generates a new and complete instrument calibration file.\n",
"\n",
"In practise, you will probably run this script through several times, using the previous result to converge on a solution. The script will **overwrite** the detector parameter files to allow this (both old and new, but the old file spec lacks the chi-tilt optimization.)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"###User input here!"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# hexrd yaml config file\n",
"cfg_filename = 'example_config.yml'\n",
"\n",
"# select which orientaion to use (in case of more than one...)\n",
"grain_id = 0\n",
"\n",
"# for saturation\n",
"int_cutoff = 1.4e4"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 264
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Ok, that was easy, from here on you shouldn't need to modify anything."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import sys, os\n",
"import numpy as np\n",
"\n",
"import yaml\n",
"from scipy.linalg.matfuncs import logm\n",
"import scipy.optimize as opt\n",
"\n",
"from hexrd import matrixutil as mutil\n",
"\n",
"# * imports are not a good idea, comment for now\n",
"from hexrd.coreutil import initialize_experiment, tVec_d_from_old_detector_params, make_old_detector_parfile\n",
"from hexrd import config\n",
"\n",
"from hexrd.xrd import distortion as dFuncs\n",
"from hexrd.xrd import fitting\n",
"from hexrd.xrd import material\n",
"from hexrd.xrd import transforms as xf\n",
"from hexrd.xrd.transforms import bVec_ref, eta_ref, vInv_ref\n",
"from hexrd.xrd import transforms_CAPI as xfcapi\n",
"\n",
"# This line configures matplotlib to show figures embedded in the notebook, \n",
"# instead of opening a new window for each figure. More about that later. \n",
"# If you are using an old version of IPython, try using '%pylab inline' instead.\n",
"%matplotlib inline\n",
"from matplotlib import pyplot as plt\n",
"\n",
"# Choose a bunch of new matplotlib parameter values\n",
"newparams = {'savefig.dpi': 150, 'axes.labelsize': 12, \n",
" 'xtick.labelsize': 6, 'ytick.labelsize': 6}\n",
"\n",
"# Update the global rcParams dictionary with the new parameter choices\n",
"plt.rcParams.update(newparams)\n"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 265
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"###Define some local parameters.\n",
"\n",
"Note that the variable \"det_origin\" is a 2-tuple containing the detector panel centroid coordinates in mm as measured from the lower-left corner of the panel (this was the origin in the old hexrd scheme). For the GE detector or Perkin-Elmer, this would be (204.8, 204.8). *This is a legacy feature that is necessitated by the use of older hexrd (v0.1) detector parameters files and will likely become obselete at some point.*"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"det_origin = (204.8, 204.8) # for GE\n",
"\n",
"d2r = np.radians(1)\n",
"r2d = np.degrees(1)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 266
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##Here we have to define all of the refinement flags and scalings for the parameters\n",
"\n",
"###For the calibration parameters:\n",
"+ the first **6** parameters describe the panel\n",
" tiltAngles[0] (tilt about lab X)\n",
" tiltAngles[1] (tilt about lab Y)\n",
" tiltAngles[2] (tilt about lab Z -- also panel normal)\n",
" tVec_d[0] (x-translation; 0 means centered on beam horizontally)\n",
" tVec_d[1] (y-translation; 0 means centered on beam vertically)\n",
" tVec_d[2] (z-translation; working distance, where values < 0 are downstream)\n",
"+ the next **4** describe the rotation (sample) frame\n",
" chi (canting angle of rotation axis about lab X)\n",
" tVec_s[0] (rotation axis x-translation; typically 0)\n",
" tVec_s[1] (rotation axis y-translation; typically 0)\n",
" tVec_s[2] (rotation axis z-translation; typically 0)\n",
"+ the last **6** parameters describe the crystal. Note the strain (if any) is *fixed*\n",
" expMap_c[0] (crystal orientation phi*n[0])\n",
" expMap_c[1] (crystal orientation phi*n[1])\n",
" expMap_c[2] (crystal orientation phi*n[2])\n",
" tVec_c[0] (crystal centroid x-translation)\n",
" tVec_c[1] (crystal centroid y-translation)\n",
" tVec_c[2] (crystal centroid z-translation)\n",
" \n",
"###For verifying the crystal parameters:\n",
"+ the first **6** parameters describe the crystal as above\n",
" expMap_c[0] (crystal orientation phi*n[0])\n",
" expMap_c[1] (crystal orientation phi*n[1])\n",
" expMap_c[2] (crystal orientation phi*n[2])\n",
" tVec_c[0] (crystal centroid x-translation)\n",
" tVec_c[1] (crystal centroid y-translation)\n",
" tVec_c[2] (crystal centroid z-translation)\n",
"+ the last **6** parameters describe inverse stretch tensor components (sample frame)\n",
" vInv_s[0] (inv(V)[0, 0])\n",
" vInv_s[1] (inv(V)[1, 1])\n",
" vInv_s[2] (inv(V)[2, 2])\n",
" vInv_s[3] (inv(V)[1, 2] * sqrt(2))\n",
" vInv_s[4] (inv(V)[0, 2] * sqrt(2))\n",
" vInv_s[5] (inv(V)[0, 1] * sqrt(2))"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"refine_distortion = False\n",
"\n",
"# detector calibration parameter refinement flags \n",
"if refine_distortion:\n",
" pFlag = np.zeros(16, dtype=bool)\n",
"else:\n",
" pFlag = np.array([1, 1, 1, \n",
" 1, 1, 1, \n",
" 1, \n",
" 0, 0, 0, \n",
" 1, 1, 1, \n",
" 0, 0, 0], dtype=bool)\n",
"# detector parameter scalings\n",
"pScl = np.array([d2r, d2r, d2r, \n",
" 10., 10., 1000.,\n",
" d2r,\n",
" 1., 1., 1.,\n",
" 1., 1., 1.,\n",
" 1., 1., 1.])\n",
"# grain parameter refinement flags\n",
"gFlag = np.array([1, 1, 1,\n",
" 1, 1, 1,\n",
" 1, 1, 1, 1, 1, 1], dtype=bool)\n",
"# grain parameter scalings\n",
"gScl = np.array([1., 1., 1., \n",
" 1., 1., 1., \n",
" 1., 1., 1., 0.01, 0.01, 0.01])"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 267
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"###Must specify the distortion function type\n",
"currently all we have is the GE distrotion function, so this is hard-coded. Will transition to some kind of parameter file once it is decided what the API should look like."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# select distortion function from distortion module\n",
"# currently only the GE funciton is in there...\n",
"dFunc = dFuncs.GE_41RT\n",
"dParams = [0., 0., 0., 2., 2., 2]\n",
"if refine_distortion:\n",
" dFlag = np.array([1, 1, 1, 0, 0, 0], dtype=bool)\n",
"else:\n",
" dFlag = np.array([0, 0, 0, 0, 0, 0], dtype=bool)\n",
"dScl = np.array([1e4, 1e4, 1e4, 1., 1., 1.])"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 268
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"List of parameter names for convenience and printing output"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"pnames = [ 'tiltAngles[0]', \n",
" 'tiltAngles[1]', \n",
" 'tiltAngles[2]', \n",
" ' tVec_d[0]', \n",
" ' tVec_d[1]', \n",
" ' tVec_d[2]', \n",
" ' chi', \n",
" ' tVec_s[0]', \n",
" ' tVec_s[1]', \n",
" ' tVec_s[2]', \n",
" ' expMap_c[0]', \n",
" ' expMap_c[1]', \n",
" ' expMap_c[2]', \n",
" ' tVec_c[0]', \n",
" ' tVec_c[1]', \n",
" ' tVec_c[2]']\n",
"for i in range(len(dParams)):\n",
" pnames.append(' dParams[%d]' %i)\n"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 269
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# read config\n",
"cfg = config.open(cfg_filename)[0]\n",
"\n",
"# output for eta-ome maps as pickles\n",
"working_dir = cfg.working_dir\n",
"analysis_name = cfg.analysis_name\n",
"analysis_dir = cfg.analysis_dir\n",
"\n",
"old_parfilename = cfg.instrument.detector.parameters_old\n",
"# This should use the yaml detector spec, but it appears to include crystal parameters as well:\n",
"new_parfilename = cfg.instrument.parameters\n",
"quats_filename = os.path.join(working_dir, 'accepted_orientations.dat')\n",
"spots_filename = os.path.join(analysis_dir, 'spots_%05d.out' % grain_id)\n",
"\n",
"pd, reader, detector = initialize_experiment(cfg)\n",
"\n",
"bMat = np.ascontiguousarray(pd.latVecOps['B']) # hexrd convention; necessary to re-cast (?)\n",
"wlen = pd.wavelength * 1.0# Angstroms\n",
"\n",
"\n",
"# omega period \n",
"omePeriod = d2r*np.array(cfg.find_orientations.omega.period, dtype=float)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 270
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Initialize fit parameters"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# load old hexrd detector file\n",
"old_par = np.vstack([detector.getParams(allParams=True), \n",
" np.zeros_like(detector.getParams(allParams=True))]).T\n",
"\n",
"# THIS IS HARD-CODED FOR GE-TYPE DISTORTION! \n",
"# MUST CHANGE EVENTUALLY...\n",
"dParams = old_par[-6:, 0]\n",
" \n",
"try:\n",
" new_par = yaml.load(open(new_parfilename, 'r'))\n",
" \n",
" if new_par['calibration_crystal'].get('grain_id', -1) != grain_id:\n",
" # the cached grain id is not the current grain id\n",
" # start over from default values\n",
" raise RuntimeError\n",
" \n",
" tiltAngles = new_par['detector']['transform']['tilt_angles']\n",
" tVec_d = np.array(new_par['detector']['transform']['t_vec_d'])\n",
" chi = new_par['oscillation_stage']['chi']\n",
" tVec_s = np.array(new_par['oscillation_stage']['t_vec_s'])\n",
" expMap_c = np.array(new_par['calibration_crystal']['orientation'])\n",
" tVec_c = np.array(new_par['calibration_crystal']['position'])\n",
" vInv_s = np.array(new_par['calibration_crystal']['inv_stretch'])\n",
"except (IOError, KeyError, RuntimeError):\n",
" all_quats = xf.unitVector(np.atleast_2d(np.loadtxt(quats_filename)).T)\n",
" quat = all_quats[:, grain_id].reshape(4, 1)\n",
" phi = 2*np.arccos(quat[0])\n",
" n = xf.unitVector(quat[1:].reshape(3, 1))\n",
"\n",
" tiltAngles = old_par[3:6, 0]\n",
" tVec_d = tVec_d_from_old_detector_params(old_par, det_origin)\n",
" chi = 0.\n",
" tVec_s = np.zeros((3, 1))\n",
" expMap_c = phi*n\n",
" tVec_c = np.zeros((3, 1))\n",
" vInv_s = vInv_ref"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 271
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# load grain\n",
"gtable = np.loadtxt(spots_filename) # load pull_spots output table\n",
"valid_reflections = gtable[:, 0] >= 0\n",
"not_saturated = gtable[:, 5] < int_cutoff\n",
"print \"%d of %d reflections are valid\" %(sum(valid_reflections), len(gtable))\n",
"print \"%d of %d valid reflections be arelow saturation threshold of %d\" %(sum(not_saturated), sum(valid_reflections), int_cutoff)\n",
"\n",
"idx = np.logical_and(valid_reflections, saturated) # select valid reflections\n",
"idx_0 = idx # will need this later\n",
"hkls = gtable[idx, 1:4].T # must be column vectors\n",
"xyo_det = gtable[idx, -3:] # these are the cartesian centroids + ome\n",
"xyo_det[:, 2] = xf.mapAngle(xyo_det[:, 2], omePeriod)\n",
"\n",
"refineFlag = np.hstack([pFlag, dFlag])\n",
"\n",
"p_initial = fitting.geomParamsToInput(tiltAngles, chi, expMap_c, tVec_d, tVec_s, tVec_c, dParams)\n",
"p_fit = p_initial[refineFlag]\n",
"\n",
"print \"Setup to refine:\\n\"\n",
"for i in np.where(refineFlag)[0]:\n",
" print \"\\t%s = %1.7e\" %(pnames[i], p_initial[i])\n",
"\n",
"pScl = np.ones(16)\n",
"dScl = np.ones_like(dParams)\n",
"\n",
"# convergence tolerances for the least-squares fit\n",
"xtol = 1e-7\n",
"ftol = 1e-7"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"431 of 502 reflections are valid\n",
"384 of 431 valid reflections be arelow saturation threshold of 14000\n",
"Setup to refine:\n",
"\n",
"\ttiltAngles[0] = 6.2187227e-04\n",
"\ttiltAngles[1] = -3.0990318e-03\n",
"\ttiltAngles[2] = -2.2641513e-03\n",
"\t tVec_d[0] = -1.4466967e+00\n",
"\t tVec_d[1] = -3.2330830e+00\n",
"\t tVec_d[2] = -1.0506728e+03\n",
"\t chi = -9.1091363e-04\n",
"\t expMap_c[0] = 6.6916680e-01\n",
"\t expMap_c[1] = -9.8652662e-01\n",
"\t expMap_c[2] = 7.3676840e-01\n"
]
}
],
"prompt_number": 272
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"###Check initial guess graphically"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# check out initial residual\n",
"xyo_i = fitting.objFuncSX(\n",
" p_initial[refineFlag], p_initial, pFlag, dFunc, dFlag,\n",
" xyo_det, hkls, bMat, vInv_s, wlen,\n",
" bVec_ref, eta_ref, omePeriod, simOnly=True\n",
" )\n",
"\n",
"fig = plt.figure()\n",
"ax1 = fig.add_subplot(121)\n",
"ax1.plot(xyo_det[:, 0], xyo_det[:, 1], 'rx')\n",
"ax1.plot(xyo_i[:, 0], xyo_i[:, 1], 'k.')\n",
"ax1.grid(True)\n",
"ax1.axis('equal')\n",
"ax1.set_xlim((-204.8, 204.8))\n",
"ax1.set_ylim((-204.8, 204.8))\n",
"ax1.set_xlabel('detector X [mm]')\n",
"ax1.set_ylabel('detector Y [mm]')\n",
"\n",
"ax2 = fig.add_subplot(122)\n",
"ax2.plot(xyo_det[:, 0], r2d*xyo_det[:, 2], 'rx')\n",
"ax2.plot(xyo_i[:, 0], r2d*xyo_i[:, 2], 'k.')\n",
"ax2.grid(True)\n",
"ax2.set_xlim((-204.8, 204.8))\n",
"ax2.set_ylim(r2d*omePeriod[0], r2d*omePeriod[1])\n",
"ax2.set_xlabel('detector X [mm]')\n",
"ax2.set_ylabel(r'$\\omega$ [deg]')\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAA3QAAAJDCAYAAABDmFYaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x7f9d203dd510>"
]
}
],
"prompt_number": 273
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# SKIP TO HERE AND RUN ALL ABOVE\n",
"###If things look pretty good, then we are ready to do the optimization"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# fitting\n",
"resd_i = fitting.objFuncSX(\n",
" p_initial[refineFlag], p_initial, pFlag, dFunc, dFlag,\n",
" xyo_det, hkls, bMat, vInv_s, wlen,\n",
" bVec_ref, eta_ref, omePeriod, simOnly=False\n",
" )\n",
"\n",
"p_refined = fitting.calibrateDetectorFromSX(\n",
" xyo_det, hkls, bMat, wlen, tiltAngles, chi, expMap_c, tVec_d,\n",
" tVec_s, tVec_c, vInv=vInv_s, beamVec=bVec_ref, etaVec=eta_ref,\n",
" distortion=(dFunc, dParams, dFlag, dScl), pFlag=pFlag,\n",
" pScl=pScl, factor=1.0, xtol=xtol, ftol=xtol, omePeriod=omePeriod\n",
" )\n",
"\n",
"results = fitting.inputToGeomParams(p_refined)\n",
"\n",
"resd_f = fitting.objFuncSX(\n",
" p_refined[refineFlag], p_refined, pFlag, dFunc, dFlag,\n",
" xyo_det, hkls, bMat, vInv_s, wlen,\n",
" bVec_ref, eta_ref, omePeriod, simOnly=False\n",
" )\n",
"xyo_f = fitting.objFuncSX(\n",
" p_refined[refineFlag], p_refined, pFlag, dFunc, dFlag,\n",
" xyo_det, hkls, bMat, vInv_s, wlen,\n",
" bVec_ref, eta_ref, omePeriod, simOnly=True\n",
" )\n",
"\n",
"nrefl = len(resd_i) / 3\n",
"\n",
"# new style method 2; use an axes array\n",
"fig1, axs1 = plt.subplots(1, 3, sharex=False, sharey=True)\n",
"fig1.subplots_adjust(wspace=0)\n",
"fig1.suptitle(\"Residuals\", fontsize=14, y=1.0)\n",
"titles = [r'$\\Delta$X [mm]', r'$\\Delta$Y [mm]', r'$\\Delta\\omega$']\n",
"for i in range(3):\n",
" axs1[i].hist(resd_i.reshape(sum(idx), 3)[:, i], color='b')\n",
" axs1[i].hist(resd_f.reshape(sum(idx), 3)[:, i], color='g', alpha=0.5)\n",
" axs1[i].set_title(titles[i], fontsize=12)\n",
" if i > 1:\n",
" axs1[i].set_xlim(-0.0007, np.max(resd_f.reshape(sum(idx), 3)[:, i])+0.0007)\n",
" axs1[i].set_xlim(-0.0007, np.max(resd_f.reshape(sum(idx), 3)[:, i])+0.0007)\n",
" else:\n",
" axs1[i].set_xlim(-0.57, 0.57)\n",
" axs1[i].set_xlim(-0.57, 0.57)\n",
"\n",
"print \"Initial ssq:\\t%1.2e\\nFinal ssq:\\t%1.2e\\nRefined parameters:\" %(sum(resd_i**2), sum(resd_f**2))\n",
"print \"\\tName\\t\\tInitial\\t\\tFinal\"\n",
"print \"\\t----\\t\\t-------\\t\\t-----\"\n",
"for i in np.where(refineFlag)[0]:\n",
" print \"\\t%s\\t%1.7e\\t%1.7e\" %(pnames[i], p_initial[i], p_refined[i])\n",
"print \"\\n\"\n",
"\n",
"fig2, axs2 = plt.subplots(1, 2, sharex=True, sharey=False, figsize=(10, 5))\n",
"fig2.subplots_adjust(wspace=0.2)\n",
"fig2.suptitle(\"reflections\")\n",
"\n",
"axs2[0].plot(xyo_det[:, 0], xyo_det[:, 1], 'rx')\n",
"axs2[0].plot(xyo_i[:, 0], xyo_i[:, 1], 'k.')\n",
"axs2[0].plot(xyo_f[:, 0], xyo_f[:, 1], 'b+')\n",
"axs2[0].grid(True)\n",
"axs2[0].axis('equal')\n",
"axs2[0].set_xlim((-204.8, 204.8))\n",
"axs2[0].set_ylim((-204.8, 204.8))\n",
"axs2[0].set_xlabel('detector X [mm]')\n",
"axs2[0].set_ylabel('detector Y [mm]')\n",
"\n",
"axs2[1].plot(xyo_det[:, 0], r2d*xyo_det[:, 2], 'rx')\n",
"axs2[1].plot(xyo_i[:, 0], r2d*xyo_i[:, 2], 'k.')\n",
"axs2[1].plot(xyo_f[:, 0], r2d*xyo_f[:, 2], 'b+')\n",
"axs2[1].grid(True)\n",
"axs2[1].set_xlim((-204.8, 204.8))\n",
"axs2[1].set_ylim(r2d*omePeriod[0], r2d*omePeriod[1])\n",
"axs2[1].set_xlabel('detector X [mm]')\n",
"axs2[1].set_ylabel(r'$\\omega$ [deg]')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Initial ssq:\t9.26e-02\n",
"Final ssq:\t9.24e-02\n",
"Refined parameters:\n",
"\tName\t\tInitial\t\tFinal\n",
"\t----\t\t-------\t\t-----\n",
"\ttiltAngles[0]\t6.2187227e-04\t6.1958116e-04\n",
"\ttiltAngles[1]\t-3.0990318e-03\t-3.1030609e-03\n",
"\ttiltAngles[2]\t-2.2641513e-03\t-2.2680745e-03\n",
"\t tVec_d[0]\t-1.4466967e+00\t-1.4465160e+00\n",
"\t tVec_d[1]\t-3.2330830e+00\t-3.2329091e+00\n",
"\t tVec_d[2]\t-1.0506728e+03\t-1.0506713e+03\n",
"\t chi\t-9.1091363e-04\t-9.1997044e-04\n",
"\t expMap_c[0]\t6.6916680e-01\t6.6914478e-01\n",
"\t expMap_c[1]\t-9.8652662e-01\t-9.8658838e-01\n",
"\t expMap_c[2]\t7.3676840e-01\t7.3679225e-01\n",
"\n",
"\n"
]
},
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 274,
"text": [
"<matplotlib.text.Text at 0x7f9d20769150>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAvsAAAI+CAYAAAAipMVJAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nwj4AADRK2AcAgEYJ+wAA0Kj/H7RTE3iz39BsAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x7f9d1ab49b50>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAABPEAAALTCAYAAAB36ZefAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
"text": [
"<matplotlib.figure.Figure at 0x7f9d19acd3d0>"
]
}
],
"prompt_number": 274
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##At this point we can re-refine after removing outliers\n",
"First, let's kick out reflections with omega values bigger than the measurement step size"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# first, kick out omegas that are too far away\n",
"x_diff = abs(xyo_det[:, 0] - xyo_f[:, 0])\n",
"y_diff = abs(xyo_det[:, 1] - xyo_f[:, 1])\n",
"ome_diff = r2d*xf.angularDifference(xyo_det[:, 2], xyo_f[:, 2])\n",
"\n",
"# filter out reflections with centroids more than \n",
"# a pixel and delta omega away from predicted value\n",
"idx_1 = np.logical_and(\n",
" x_diff <= cfg.instrument.detector.pixels.size[1],\n",
" np.logical_and(y_diff <= cfg.instrument.detector.pixels.size[0], \n",
" ome_diff <= cfg.image_series.omega.step))\n",
"\n",
"print \"keeping %d of %d input refls\" %(sum(idx_1), sum(idx))\n",
"idx_new = np.zeros_like(idx, dtype=bool)\n",
"idx_new[np.where(idx_0 == 1)[0][idx_1]] = True\n",
"idx_0 = idx_new\n",
"#\n",
"hkls = gtable[idx_new, 1:4].T\n",
"xyo_det = gtable[idx_new, -3:]\n",
"#\n",
"p_refined = fitting.calibrateDetectorFromSX(\n",
" xyo_det, hkls, bMat, wlen, results['tiltAngles'], results['chi'],\n",
" results['expMap_c'], results['tVec_d'], results['tVec_s'],\n",
" results['tVec_c'], vInv=vInv_s, beamVec=bVec_ref, etaVec=eta_ref,\n",
" distortion=(dFunc, results['dParams'], dFlag, dScl), pFlag=pFlag,\n",
" pScl=pScl, factor=1.0, xtol=xtol, ftol=xtol, omePeriod=omePeriod\n",
" )\n",
"\n",
"results = fitting.inputToGeomParams(p_refined)\n",
"\n",
"# dump old detector parfile\n",
"make_old_detector_parfile(results, det_origin=det_origin, filename=old_parfilename)\n",
"\n",
"resd_f = fitting.objFuncSX(\n",
" p_refined[refineFlag], p_refined, pFlag, dFunc, dFlag,\n",
" xyo_det, hkls, bMat, vInv_s, wlen,\n",
" bVec_ref, eta_ref, omePeriod, simOnly=False\n",
" )\n",
"xyo_f = fitting.objFuncSX(\n",
" p_refined[refineFlag], p_refined, pFlag, dFunc, dFlag,\n",
" xyo_det, hkls, bMat, vInv_s, wlen,\n",
" bVec_ref, eta_ref, omePeriod, simOnly=True\n",
" )\n",
"\n",
"# new style method 2; use an axes array\n",
"fig3, axs3 = plt.subplots(1, 3, sharex=False, sharey=True)\n",
"fig3.subplots_adjust(wspace=0)\n",
"fig3.suptitle(\"Residuals\", fontsize=14, y=1.0)\n",
"titles = [r'$\\Delta$X [mm]', r'$\\Delta$Y [mm]', r'$\\Delta\\omega$']\n",
"for i in range(3):\n",
" axs3[i].hist(resd_f.reshape(sum(idx_new), 3)[:, i], color='b')\n",
" axs3[i].set_title(titles[i], fontsize=12)\n",
" if i > 1:\n",
" axs3[i].set_xlim(-0.0007, np.max(resd_f.reshape(sum(idx_new), 3)[:, i])+0.0007)\n",
" axs3[i].set_xlim(-0.0007, np.max(resd_f.reshape(sum(idx_new), 3)[:, i])+0.0007)\n",
" else:\n",
" axs3[i].set_xlim(-0.57, 0.57)\n",
" axs3[i].set_xlim(-0.57, 0.57)\n",
" "
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"keeping 418 of 431 input refls\n"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAvwAAAI+CAYAAADAeN4wAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAXEQAAFxEByibzPwAAIABJREFUeJzt3cGPW1d+L/jvkVpeuApRldNuz8IDxGoPAjQe8NKWX5ZZ\nPMk9i14M8Cw7s8iyLXfvn2V7lQAC0nJ3gJldLCuzSTZp2c6ygUhW/oDXUmwgrxd5sGQDLxsrsmQ3\nVIUZF6QzC15KV2WyxCqSRero8wGIIi/vvfwVi4f15eG555ZaawAAgDYdWHQBAADA/Aj8AADQMIEf\nAAAaJvADAEDDBH4AAGiYwA8AAA0T+AEAoGECPwAANEzgBwCAhgn8AADQMIEfAAAaJvADAEDDBH4A\nAGiYwA8AAA0T+AEeU6WUI6WUU6WUHy66FgDmR+AHSFJKOVZKuVBKubvD5WYp5dNSyvlSystLUPPx\nUsqtUsr5XW53tpRyM8mnSc4keW4uBU5ezwvdB48r3fN8bJH1ALRG4AdIUmu9VGv9UZJX+ouTHE+y\nluRId99HSU4keb/7ALDIcPp6ksNJXi6l/N6kG9VaX0/y5vDmPAqbVPftwqvd5YddPQutCaA1pVbv\nqwBDpZS1JDe7m7dqrb8/Yp0fJrnSW/T9Wutn+1HfiDrOJblYa317l9seyaCHP0lO1Fr/Ydb17bKe\nY0kuZhD2X6q1/tMi6wFoiR5+gJ5a61cTrPNxkvd6i94ct+481Vo/rrW+uNuwv6T2/QMTwONC4AfY\nm3/uXT+6sCoA4CEEfgAAaJjAD7A3L/WuX95pxW4GmsvdDDTDWX5GToVZSlkrpbzTzRh0vlv/binl\n7pj1X+jWHzvTTinlZPf4n3Y/383gQORx6957zFLKmd59x7qa+jMXjTxYuJtB6ELvcrnbdk8zAu32\neQHgPoEfYJdKKS8kGU7LeStjxvB3YfzTDA4C/s9J1pOczWCWnyullNdGbHYpyR/UWn9Ua3211vp8\nt/86DNellOe68Hsrgw8bb2QwW8/2x18rpVxJ8vMkP6m1Pl9rfTGDg2Mvjaq51vpeHhyiVHv3Xaq1\nvpqHzPBTSjmb5EKSM93vMZz9aPh7f6vWCTz0eQFgNIEfYAJdeD5eSnk/93v0ryY5Vmv93aj1Mwip\nP6+1/k2t9Xe11q9rrb9M8kG32tl++C2lnMhgaspf9ffVbfNxb9HNJH/ZW2/cdGvvJ/mjJEdrrZ/0\n9vdht/1Itdavx93XGXuAbfdh6LWupnvffHSzGH2UwTcLJx+y/+37nPR5AWAEgR9gvPXesJGbGfRa\nH0vyTpLjtdb/rR+kt3knyeFa6/8z4r7+ibL64fdI9/P/HLHN2SQlGQTyLpS/P67wUsrxrtaPaq2f\nj1jlgxHLZmGnuZ6HHySO7LDOKBM9LwCMJvADjHcrgx7p/hCXtSTnJ5gn/tUk6U7O9cAlgyk9hyeY\n6off4dz+J7px6vd6/2ut50b0vN/a4fHf6X5eHHP/XEJyN2XpkSTrI775GP6uT+1yt7t9XgDoEfgB\ndtANxfk4g7PaDl3aaRx6d1Krw0mu1lqfGnM52F1+1nusS7nf834iya1Syhu7rbkbTjQ8KPjabref\nVq3182HY745jeLc7UHjY+z/ygOEd9jeT5wXgcSXwA0yg1nou90+2NRyfP86RbT938zivJvlFb9E7\n3TcDx3axm932oM9cd7zD5QzG85+qtf40U5xca0bPC8BjSeAHmFAXWocn3HqhlHJ+zKpXh1fGTb/5\nkMd5K8n3MzjINRl8wLhYSnl5/FZjfX8P20ylN0vPX9ZafzbqoOa9mPHzAvDYEPgBdueVJF9110+M\nGlrSzUiTDMbJ/+lOO+vmvT/cXb/34aDW+lk3nWV/vv9zkxRYa+0P43lp7IpzUEo5lUGv/pVa6z/M\naJ8zeV4AHlcCP8AudGH+ld6id8YMKxmG7lM7nGTreAaz/QwPOj2+fd1u/PrwoOHDu5hzfvhNxPE9\nnuxqWNP6iPt2GjI0/IAz6tiBXY3d75nl8wLw2BH4AXq6A16HRgbULmz2T7Z1cUSo7h/ke6WU8lqv\nJ3+tlPJOBtNzntq23dsjHm841/y1bcNjdgre/ZN6XRxxkHG/vj8esf1vup+vbjtXwPFezSXfHjI0\nXPelbdu9kME0oUny+zvUPc5unhcAegR+gAcd710v43rHu5M+fdRbdKW/bveh4L3e/WczmF1mOKf/\nT5K8sG2O/JLBMKEHzsDbnXiq5sGQntw/KPhbwbsLw2/21vu8m9Lyne5g2v7vdaqU8o/bPhQMp/Vc\n6+q+WEq5msFZe7fPWPTz3u0Pett9Vkp5v3u8V3vPxwullAvdzD1DL4z7XbL75wWAnlLrTudIAXg8\ndMNy3swg8PffGEsGIfZX3Rlq+9sczmCO+Od6615M8upwmE53QOnrGQw/WctgqM2vaq1/NaKGN3I/\naF/L/WE5h5O8OTzJV1frKxmE6GFI/zqDQH22dwzBcPz72xn0rg8f/2wGswxdTPJukg9GnZyrq/3t\nDKb4vNbt+6+6aUfPJ/n7UduWUs5kcEKxmsGHop/XWj/pPhBdzGCY0Ee11j/tlr054nc53z3ex5M+\nLwCMJvADAEDDDOkBAICGCfwAANAwgR8AABom8AMAQMMEfgAAaJjADwAADRP4AQCgYQI/AAA0TOAH\nAICGCfwAANAwgb9hpZTDi64BGE37BGC/CPyNKqUcT/L2Dvf/sJRyvpRyd9vlcinlzLZ1X9627s1S\nyrullOcmrOVqb7vz3eXYlL/i3JRSDvfq/LT3e//eomujDRO0z2NdW9zePt8d1XZKKe9se61enrSN\naZ+wfHQIMGul1rroGpiDUsqVJM/VWp96yHrHklzsbtYkL9Va/2nMuneTXE1ytNb6u13UcjXJHyT5\nfq3180m3Wxbd712TrO/m94ZxdtE+zyc50d28VWv9/R3WfTnJ+0nO1lp/totatE9YIl2HwPFa61uL\nroV26OFvUCnlhSQ/TLLWhYCxaq2Xkrw+3DTJT8fs81T2EPa3ubnH7Rbt40UXQDt22T5fTXKtu7n+\nkJ73nya5spuwv432CcvhnSQnF10EbRH429QfKvD62LU6tdZzST7obp7YHiq6gPJWBr3/etBgOrtq\nn0le6V0/O2qFUsqJJEeTLO1QHODhdtMhALsh8DemlHIkycu5P0zn+IRj7V9L8lV3/V6oKKWsJbmU\n5CeP4tf9sEz20j5rrR8nebO7eWT7MTadcxm0UR/I4dG22w4BmIjA3543Mwjs/bF/k/Tyf537PYn9\nUHEpyd/XWv9hplV2SilHegccHi6lrJVSzpZSbnUHEb7RW/dEKeVK76DEH85rXzAne22fv0zyz93N\nU/3XaynlnST/bR5tVPuE/TNFh91w+1Ndu7lZSvkv/f127e7T7sB/BwQ/hhy025CuN/5mkiO11s9L\nKZ8mOZLkq4cdHNjbR/8gwUtJ1mqt/2nKuoYHBT5wUF03dOj17vFqBmOQX0lypfs93ulWfSXJHyd5\nLsmFJC9mML7x3u81y32NqP9Kkj/aXj/sxrTts/vHf7W7ea3W+nwXED4d7nOPdWmfsARKKWeT3E3y\nXgZtI0l+8bCDd7v3gYsZtJuxB+33/r9fy+B4vK9nVTuPgFqrSyOXJKeS/Kp3+7UM3jzuJnl5wn0c\nzuAf8HC7P5hBXVeT3Enye2PuHz7WX29b/kbvvv+y7b4Lo36vWe6rd/+Vnep3cZnkMqP22X8dn+pe\nm/91yrq0TxeXBV+SrPX/52bwQf5ukpsTbHerW/fn2+57J8mxbcuG/9/PLPp3dtnfiyE9bXkryc+H\nN+rgYNyhicYC1sEn/n5vwn5MC/ZZBr1+2w9IvNT9vFW/PVzhs+7n9q87Z7kvmKVZtM/+0J4zGYTc\nv5pZhaNpnzB/J5O8X+9/Uzf81uthB++ey6Cj7mqt9d74/25mvTfy7feW873H4zEi8DeilHIygwb/\nyba73ut+TjQWsBt28GYGPQZJcvIhUwEuyvAA47Hzki9oX/Ats2qfndd6198Zu9ZiaZ+wO7vuEOhm\n9Bl+GNj+XvCn3c/t4/WH0/wedrK6x4vA345TuT+TR1+/J22SXsT3040Jzv1/tO8v8UE+a0u6L+ib\nVftMkkdp3K32CQ8xRYfAMNTXJB9tu294oPu1jDfRsX20QeBvQDcHd60jzpBbB1P6DYcA7PgVXjfb\nxx8keaUb2jPsSVzL4GtDYJdm1T6BZu21Q2A4wca13lCg4Tf1QxfzoP43ZY/qyfbYA4G/DW9n56/2\nh28aY8cCdqfyfiODsP+7JKm1fpj7vQYnnAQE9mTq9gm0acoOgWGv/z/3F9Zah9/Ojzom5nj386tq\nVqvHisD/iOvG8D1Xa/2bces8bCxgN6XXhSQnR3yl2D/L57klHtoDS2cW7RNo2iw6BEb11H+V3jEB\nPcOhPu+NuI+GCfyPvneS/OUE640cC9h99XcxycVRoaQb2jP8qnEtgzH+wGSmap9jGMsODZhBh8Dw\neJ4HxuJ3+13L/ePwhsuH3xLUJL/aS808ugT+R1jXM38syWellOM7XfLggTv9N41LGXwt+IsdHqr/\nhnO83D8L76w8laTk27NwDN/ERgWc4bJR28xqX7BnM2qfoxzpXX9x1nWPoH3CfEzbITAcn//9Efu9\nmuRH25YPO+9+MeLbfFq36BMBuOz9ksFXfXdy/4Q1D7vc6S5fZnBA7qe9ZZ9m28lwusd4I4PhPnd6\nl7vd+v95wjpHntgngzB0vlfb5XQnEcrgYKTLvce80K1/OIM3s/7v80aS/2NG+/qvSQ5vq9OJfVx2\nfZmmfY7Z32vbXuP91/OeT6Kjfbq47P8lgw/udzOYVvP4Qy6neu8TZ3r7+GF/edeWLib566799Jdf\n6W7/alG/s8tiL6V70cDclFKuZjD7z3p9BA8SKqVcSfJHeUTrh51on7D/Silnk/wkg2+8JjEMa1/V\nWu9921VK+WEGQ22PZPDh/Z3aDRHq7juX5IUMAv/ZusPwIdr2nUUXAADwOKm1vp4ZHKRfBzP5PL/D\nffsx7I9HgDH8AADQMIGf/VKSvLToIvboyMNXgUea9gnQsH0bw19KOVwHUzzymCmlnM/g4KKvc382\nkrO11kuLq2q87lwDw5mJ1jIIFDXJUWOEaY32CdC+qQN/N6/ryQzedF+rg7OzDud3H54Moib5fq31\n824KuuMZHFyS+uAcswAAwAxNddBu19Nytdb6YncGuHNJPuzuPplkbUSPy5la64vd9hdKKZe7A0sA\nAIAZm2oMf631697XvpeS/KZ398kkv+h69JPc+zbgam+dixmcVhoAAJiDmRy02w3fOZfkp73FZzMY\n5nOhd2bWo3nwjJKfxQFXAAAwNzM5aLcL9CeSpNb6/Lb7jmXQk7+ewYeCa7XWt7r7jic5X2t9KmOU\nUkqS73Y3N6cuFpiH/7X7+T8XWgUwivYJy+3J7ueNOqfZdGZy4q0uwL9VSvm0lHKsP7tDrfVSKeWj\nDE7+cHPbpmt5sMd/lO8muT6LOgEAYEl9L8m/z2PHs56H/6PcP/1z37XuciUPDuE5kgfH/QMAADM0\nkx7+vlrrP3Wz95Ra61fd4qdqrZ8lOVdKebO3+otJTj1kl/eG8fzbv/1bVlZWRq504MCBHDx4cIrK\nJ7O1tZX19fXcunUrhw4dmvvj7day15eocVb2u8Y7d+7k7t2731p+/fr1/OEf/mGSxbdRf7fZUOP0\nHuf26W8zHfVNbxlr7LfRra2tfO9738v169fzzTff5Nlnnx2uNreh69NOy3k8ybtJPsigp354cO5L\nSd4rpbyXwaw8P+lt9no35v/LJBdqrZ9P+nhra2tj36z2y9bWVpJkZWVlaV5EfcteX6LGWVmWGr/5\n5pt71xfdRpflOdmJGmdj2WtclvoW0T6X5XcfR33TWfb6kuWvcVjf2traA210nqYK/LXWj5I8P2L5\nBxl8CBi1zaUMpvAEAADmbNZj+AEAgCUi8AMAQMMEfgAAaJjADwAADRP4d+nAgQP58z//8xw4sJxP\n3bLXl6hxVh6FGvfbo/CcqHE2lr3GZa9vnpb9d1ffdJa9vmT5a1xEfWVOZ/CdmVLKSpLbSXL79u2F\nT8sJPOj69et55plnkmijsGy0T1huGxsbWV1dHd5crbVuzONxlvOjDwAAMBMCPwAANEzgBwCAhgn8\nAADQMIEfAAAaJvADAEDDBH4AAGiYwA8AAA0T+AEAoGECPwAANEzgBwCAhgn8AADQMIEfAAAaJvAD\nAEDDBH4AAGiYwA8AAA0T+AEAoGECPwAANEzgBwCAhgn8AADQMIEfAAAa9p1FFwAAtOMf//Ef8803\n38xkX4cPH86f/MmfzGRf8DgT+AGAmfmzP/uz3LhxYyb7Onr0aC5fvjyTfcHjTOAHAObgPyR5co/b\nfpXkf8ywFni8CfwAwBz8KskP9rjtr5P8eIa1wOPNQbsAANAwgR8AABom8AMAQMMEfgAAaJjADwAA\nDRP4AQCgYQI/AAA0TOAHAICGCfwAANAwgR8AABom8AMAQMMEfgAAaJjADwAADRP4AQCgYQI/AAA0\nTOAHAICGCfwAANAwgR8AABom8AMAQMMEfgAAaJjADwAADRP4AQCgYQI/AAA0TOAHAICGCfwAANCw\n70y7g1LKySQnkxxJ8lqt9cNu+fEkx5NcTZJa67mdlgMAALM3VeAvpRxOcrXW+mIp5eUk55J82N19\nptb6YrfehVLK5VrrxzssBwAAZmyqIT211q9rrZe6m5eS/Ca51+t/tbfqxSRvl1JeS3Jt+/JpagAA\nAMabyRj+UspaBr37P+0WHc2Dwf5aBkN+ti//rFsOAADMwawO2n0ryQ8z6LFPkqeSlN79X2cQ7J/a\ntt1XEfgBAGBupj5oN0lqrW8leauU8mkp5ViSL7etspZBz/7NMcsnsrW1la2trZH3HThwIAcPHpy8\naGBX7ty5k7t3735reb9NaqOwGNonLLdJ2ug8zXpazo+6n1fyYM/9kQzG949bPpH19fU88cQTIy+n\nT5+etnZgB6dPnx7Z9p599tl762ijsBjaJyy3cW10fX19Xx6/1Fpnt7NS3q21/rS7/mmt9fnu+vkk\np2qtn49bvsM+V5LcTpJbt25lZWVl5Hp6J2C+xvVOXL9+/V6o0EZhMZapfT799NO5ceNGkt8m+cEe\n9/LrJD/O0aNHc/ny5ZnUBYs0ro1ubGz0Q/9qrXVjHo8/7bScx5O8m+SDDHrqz/Tufr2UciaD4T0X\neqF+3PKHOnToUA4dOjRNycAeHTx4cGQg6LdJbRQWQ/uE5TZJG52nqQJ/rfWjJM+Pue9SBlN1TrQc\nAACYvVmP4QcAAJaIwA8AAA0T+AEAoGECPwAANEzgBwCAhgn8AADQMIEfAAAaJvADAEDDBH4AAGiY\nwA8AAA0T+AEAoGECPwAANEzgBwCAhgn8AADQMIEfAAAaJvADAEDDBH4AAGiYwA8AAA0T+AEAoGEC\nPwAANEzgBwCAhgn8AADQMIEfAAAaJvADAEDDBH4AAGiYwA8AAA0T+AEAoGECPwAANEzgBwCAhgn8\nAADQMIEfAAAaJvADAEDDBH4AAGiYwA8AAA0T+AEAoGECPwAANEzgBwCAhgn8AADQMIEfAAAaJvAD\nAEDDBH4AAGiYwA8AAA0T+AEAoGECPwAANEzgBwCAhgn8AADQMIEfAAAaJvADAEDDBH4AAGiYwA8A\nAA0T+AEAoGECPwAANEzgBwCAhgn8AADQMIEfAAAaJvADAEDD9i3wl1IO79djAQAAA1MH/lLKyVLK\nze7ycm/5Winlbne5k2S9W368lHKmlPJaKeW1aR8fAAAY7zvTbFxKeSHJ3VrrU114f7+UslZr/V2S\nk0mG1/vO1Fpf7La/UEq5XGv9eJo6AACA0abt4V+vtf5NktRazyW5luRId9/JJL8opRwfrlxKOZnk\nam/7i0nenrIGAABgjKkCf6310rZFT9VaP+mun80g/F8opZzplh3N4EPB0Ge5/wEBAACYsamG9PR1\nPflnh7drrb9M8stSyrEkF0spP89gHP+t3mZfZReBf2trK1tbWyPvO3DgQA4ePLiX0oEJ3LlzJ3fv\n3v3W8n6b1EZhMbRPWG6TtNF5muUsPSdqrd8antN9C/BRkheT3Nx291oe7PHf0fr6ep544omRl9On\nT09VPLCz06dPj2x7zz777L11tFFYDO0Tltu4Nrq+vr4vj19qrdPvpJQ3kpwdcYDu8P53k7yT5HiS\nl2qtr3bLTyV5rtb6sx32vZLkdpLcunUrKysrI9fTOwHzNa534vr16/dChTYKi7FM7fPpp5/OjRs3\nkvw2yQ/2uJdfJ/lxjh49msuXL8+kLlikcW10Y2OjH/pXa60b83j8qYf0lFJOJPlgGPa7qTk/yuDD\nxFfdak/VWj9Lcq6U8mZv8xeTnJr0sQ4dOpRDhw5NWzKwBwcPHhwZCPptUhuFxdA+YblN0kbnadpp\nOU8kOd9dHy4+mUFP/rlSynsZzMrzk95mr3cH8X6Z5EKt9fNpagAAAMabKvDXWj/I+OMAPhyzzaUk\n22f3AQAA5mCWB+0CAABLRuAHAICGCfwAANAwgR8AABom8AMAQMMEfgAAaJjADwAADRP4AQCgYQI/\nAAA0TOAHAICGCfwAANAwgR8AABom8AMAQMMEfgAAaJjADwAADRP4AQCgYQI/AAA0TOAHAICGCfwA\nANAwgR8AABom8AMAQMMEfgAAaJjADwAADRP4AQCgYQI/AAA0TOAHAICGCfwAANAwgR8AABom8AMA\nQMMEfgAAaJjADwAADRP4AQCgYQI/AAA0TOAHAICGCfwAANAwgR8AABom8AMAQMMEfgAAaJjADwAA\nDfvOogsAYDnUWrO5ufmt5U8++WRKKQuoCIBZEPgBSJJsbm5mdXX1W8tv376dlZWVBVQEwCwY0gMA\nAA0T+AEY4dqiCwBgRgR+AEYwhAegFQI/AAA0TOAHAICGCfwAANAwgR8AABom8AMAQMMEfgAAaJjA\nDwAADRP4AQCgYQI/AAA0TOAHAICGCfwAANAwgR8AABr2nWl3UEo5meRMd/O1WuuH3fLjSY4nuZok\ntdZzOy0HAABmb6rAX0p5IcndWutTpZTXkrxfSlmrtf4uyZla64vdehdKKZdrrR/vsBwAAJixaYf0\nrNda/ya511N/LcmRrtf/am+9i0ne7j4UXNu+fMoaAACAMaYK/LXWS9sWPVVr/STJ0TwY7K8lOTJi\n+WfdcgAAYA5mdtBuNzb/bHdzPUnp3f11BsH+qW2bfRWBHwAA5mbqg3Z7TtRaf9pdv7ntvrUMevbH\nLZ/I1tZWtra2Rt534MCBHDx4cNJdAbt0586d3L1791vL+21SG4XF0D5huU3SRudpJj38pZQ3kpzq\nLbqSB3vujyT5zQ7LJ7K+vp4nnnhi5OX06dNT/AbAw5w+fXpk23v22WfvraONwmJon7DcxrXR9fX1\nfXn8UmudbgelnEhypdb6WXf75Vrrh6WUT2utz3fLzic5VWv9fNzyHfa/kuR2kty6dSsrKysj19M7\nAfM1rnfi+vXr90KFNvpo29jYyOrqanfriyTPJElu37499u/Kclim9vn000/nxo0bSX6b5Ad73Muv\nk/w4R48ezeXLl2dSFyzSuDa6sbHRD/2rtdaNeTz+tNNynkhyvrs+XHyy+/l6KeVMki+TXOiF+nHL\nH+rQoUM5dOjQNCUDe3Tw4MGRgaDfJrVRWAztE5bbJG10nqYK/LXWDzJmWFA3g8/2WXzGLgcAAGZv\nZrP0AAAAy0fgBwCAhgn8AADQMIEfAAAaJvADAEDDBH4AAGiYwA8AAA0T+AEAoGECPwAANEzgBwCA\nhgn8AADQMIEfAAAaJvADAEDDBH4AAGjYdxZdAI+XWms2NzcfWPbkk0+mlLKgigAA2ibws682Nzez\nurr6wLLbt29nZWVlQRUBALTNkB4AAGiYwA8AAA0T+AEAoGECPwAANEzgBwCAhgn8AADQMIEfAAAa\nJvADAEDDBH4AAGiYwA8AAA0T+AEAoGECPwAANEzgBwCAhgn8AADQMIEfAAAaJvADAEDDBH4AAGiY\nwA8AAA0T+AEAoGECPwAANEzgBwCAhgn8AADQMIEfAAAaJvADAEDDBH4AAGiYwA8AAA0T+AEAoGEC\nPwAANEzgBwCAhgn8AADQMIEfAAAaJvADAEDDBH4AAGiYwA8AAA0T+AEAoGECPwAANEzgBwCAhgn8\nAADQsO8sugAeD7XWbG5uZmNjY9GlAAA8VgR+9sXm5mZWV1cXXQYAwGNnX4b0lFIO78fjAAAAD5q6\nh7+UspbkWK31w23LbnY3a5LvJ/m6lHI8yfEkV5Ok1npu2scHAADGmyrwl1KeS/KLJIeTfNi762SS\ntVrr77ZtcqbW+mK37YVSyuVa68fT1AAAAIw31ZCeWutnSf5+xF0nk/yi69FPkpRSTqbr2e9cTPL2\nNI8PAADsbBZj+MuIZWeTHElyoZRyplt2NMm13jqfdesAAABzMpdZemqtv0zyy1LKsSQXSyk/T7Ke\n5FZvta+yy8C/tbWVra2tkfcdOHAgBw8e3GPFwMPcuXMnd+/e/dbyfpvURmExtE9YbpO00Xma6yw9\ntdZLST5K8mLuH8Q7tJYHe/wfan19PU888cTIy+nTp2dUNTDK6dOnR7a9Z5999t462uijqdaajY0N\n58l4hGmfsNzGtdH19fV9efxSa51uB6W8nOT1WuuPxtz/bpJ3Mpid56Va66vd8lNJnqu1/uwh+19J\ncjtJbt26lZWVlZHr6Z1YbhsbG2Pn4b99+/bYvyvLY1zvxPXr1++FCm300TS6fX6R5Jkk2uijYJna\n59NPP50bN24k+W2SH+xxL79O8uMcPXo0ly9fnkldsEjj2ujGxkY/9K/WWufS8zKLIT0PjOHv5twv\ntdavukVPdQf3niulvNlb9cUkp3bzQIcOHcqhQ4emKhbYm4MHD44MBP02qY3CYmifsNwmaaPzNItp\nOU8mOVpK+aNa6ydJXkryXinlvQxm5flJb5PXu4N4v0xyodb6+TSPDwAA7GyqwN/13P9o27IPknww\nZv1LSS6iqfZ4AAASA0lEQVRN85gAAMDk5nrQLgAAsFgCPwAANEzgBwCAhgn8AADQMIEfAAAaJvAD\nAEDDBH4AAGiYwA8AAA0T+AEAoGECPwAANEzgBwCAhgn8AADQMIEfAAAaJvADAEDDBH4AAGiYwA8A\nAA0T+AEAoGECPwAANEzgBwCAhgn8AADQMIEfAAAaJvADAEDDBH4AAGiYwA8AAA0T+AEAoGECPwAA\nNEzgBwCAhgn8AADQMIEfAAAaJvADAEDDBH4AAGiYwA8AAA0T+AEAoGECPwAANEzgBwCAhgn8AADQ\nMIEfAAAaJvADAEDDBH4AAGiYwA8AAA0T+AEAoGECPwAANEzgBwCAhgn8AADQMIEfAAAaJvADAEDD\nBH4AAGiYwA8AAA0T+AEAoGECPwAANEzgBwCAhgn8AADQMIEfAAAaJvADAEDDBH4AAGiYwA8AAA37\nzrQ7KKWsJTlWa/2wt+x4kuNJriZJrfXcTssBAID5mCrwl1KeS/KLJIeTfNi760yt9cVunQullMu1\n1o93WA4AAMzBVEN6aq2fJfn7/rJSysl0Pfidi0neLqW8luTa9uXTPD4AALCzWYzhL9tuH82Dwf5a\nkiMjln/WLQcAAOZkHgftrufBDwFfZxDsn9q23lcR+AEAYK6mPmh3hJvbbq9l0LM/bvnEtra2srW1\nNfK+AwcO5ODBg7vZHbALd+7cyd27d7+1vN8mtVFYDO0TltskbXSeZtHDX7fdvpIHe+6PJPnNDssn\ntr6+nieeeGLk5fTp03upHZjQ6dOnR7a9Z5999t462igshvYJy21cG11fX9+Xxy+1bs/ru9xBKSeS\nnKy1/qi37NNa6/Pd9fNJTtVaPx+3/CH7X0lyO0lu3bqVlZWVkevpnVhuGxsbWV1dHXnf7du3x/5d\nWR7jeieuX79+L1Roo4+m0e3ziyTPJNFGHwXL1D6ffvrp3LhxI8lvk/xgj3v5dZIf5+jRo7l8+fJM\n6oJFGtdGNzY2+qF/tda6MY/Hn8W0nCeTHC2l/FGt9ZPurtdLKWeSfJnkQi/Uj1s+kUOHDuXQoUPT\nlAzs0cGDB0cGgn6b1EZhMbRPWG6TtNF5mirwd9Ny/mjE8ktJLk26HAAAmI95zNIDAAAsCYEfAAAa\nJvADAEDDBH4AAGiYwA8AAA0T+AEAoGECPwAANEzgBwCAhgn8AADQMIEfAAAaJvADAEDDBH4AAGiY\nwA8AAA0T+AEAoGECPwAANEzgBwCAhgn8AADQMIEfAAAaJvADAEDDBH4AAGiYwA8AAA0T+AEAoGEC\nPwAANEzgBwCAhgn8AADQMIEfAAAaJvADAEDDBH4AAGiYwA8AAA0T+AEAoGECPwAANEzgBwCAhgn8\nAADQMIEfAAAaJvADAEDDBH4AAGiYwA8AAA0T+AEAoGECPwAANEzgBwCAhgn8AADQMIEfAAAaJvAD\nAEDDBH4AAGiYwA8AAA0T+AEAoGECPwAANEzgBwCAhgn8AADQMIEfAAAaJvADAEDDBH4AAGiYwA8A\nAA0T+AEAoGECPwAANEzgBwCAhu1b4C+lHN6vxwIAAAa+M68dl1LWktzsbtYk30/ydSnleJLjSa4m\nSa313LxqAACAx93cAn+Sk0nWaq2/27b8TK31xSQppVwopVyutX48xzoAAOCxNc8hPSeT/KLr0U+S\nlFJOpuvZ71xM8vYcawAAgMfaPAP/2SRHklwopZzplh1Ncq23zmfdOgAAwBzMbUhPrfWXSX5ZSjmW\n5GIp5edJ1pPc6q32VXYR+Le2trK1tTXyvgMHDuTgwYNTVAzs5M6dO7l79+63lvfbpDYKi6F9wnKb\npI3O09xn6am1XkryUZIXc/8g3qG1PNjjv6P19fU88cQTIy+nT5+eYdXAdqdPnx7Z9p599tl762ij\nsBjaJyy3cW10fX19Xx6/1Frn/yClvJvknQxm53mp1vpqt/xUkudqrT/bYduVJLeT5NatW1lZWRm5\nnt6J5baxsZHV1dWR992+fXvs35XlMa534vr16/dChTb6aBrdPr9I8kwSbfRRsEzt8+mnn86NGzeS\n/DbJD/a4l18n+XGOHj2ay5cvz6QuWKRxbXRjY6Mf+ldrrRvzePy5DOnp5twvtdavukVP1Vo/S3Ku\nlPJmb9UXk5yadL+HDh3KoUOHZlgpMKmDBw+ODAT9NqmNwmJon7DcJmmj8zSvMfwvJXmvlPJeBrPy\n/KR33+vdQbxfJrlQa/18TjUAAMBjby6Bv9b6QZIPxtx3KcmleTwuAADwoLkftAsAACyOwA8AAA0T\n+AEAoGECPwAANEzgBwCAhgn8AADQMIEfAAAaJvADAEDDBH4AAGjYXM60C7uxsbGRJHnyySdTSllw\nNQAAbdHDz8I988wzWV1dzebm5qJLAQBojsAPAAANE/gBAKBhAj8AADRM4AcAgIYJ/AAA0DCBHwAA\nGibwAwBAwwR+AABomMAPAAAN+86iCwAAgGnUWrO5uTmz/T355JMppcxsf4sm8AMA8Ejb3NzM6urq\nzPZ3+/btrKyszGx/i2ZIDwAANEwPPwAADfkiyV565zeSPDPjWpaDwA8AQENWsrfA3y5DegAAoGEC\nPwAANEzgBwCAhgn8AADQMIEfAAAaJvADAEDDBH4AAGiYefiZq1prNjc3s7GxsehSgG20T4DHg8DP\nXG1ubmZ1dXXRZQAj7Nw+671rww8ETz75ZEop+1AZALNkSA8AI2zeu/bMM89kdXU1m5ubO6wPwLIS\n+AEAoGECPwAANEzgBwCAhgn8AADQMIEfAAAaZlpOAAAWYng+kGk5n8jOBH4AABbC+Xr2hyE9AADQ\nMD38AAAsgS+SrOxx2+tJjsywlrYI/AAALIGV7D3w73W7x4PAz9IYHnDz5JNPppSy4GoAWJyaJLlz\n585MDsb0f4XHncDP0njmmWeSJLdv387Kik/qAI+v/y9J8sknn8zkgM4vvvhiJv9XfHDgUSXwAwBN\nG3YoTUuHFI8qgR8AWGJ7PZDTQZwwJPADAEtsrwdy9reZZvaX20n+lySzO7mToUHsN4EfAGjcNLO/\n3A/5hgbxqHLiLQAAaJgefgCAiSx2aFCtNZubm0lmNyzI8KLHg8APwET6IUVI4PG0XEODZmGa4UX9\nDyB7NavjItiZIT27dOfOnfzFX/xF7ty5s+hSRlr2+h4Vj8Lz+CjUuN8ehefkUahx4P/+1pJnnnkm\nq6urWV1dnfqf/LSW/Xlc9vrmqdbaXVvW3/1Okr/I8ta33Pqv7c3NzXvvCXu9zOfDz3L/jRfx/lDu\nN8zlVEpZyeB7sKU4yGVraytPPPFEvvnmmxw6dGihtYyybPVtbGzs+qQp/s6TWZYar1+/vjQnTVuW\n52Qny1TjXtrnkL/1zpalvkW0z+9+97v58ssvk3yS5D/ucS//kOTl7vrt7H1azmGY7O9jK8kTSb5J\nMsnfZtx+pqlnp6FBW0nWk9waUV9/qtFphhdt3Ktlt6+L/mv7m2++mcmJ0e6b1fN7K4PncNK/8dBG\nksHvM8/2ssNzuFprnctXHvs+pKeUcjzJ8SRXk6TWem6/a2B+/vZv/zZXr17N1tZWkuSFF15YcEXA\n7FyLec1hFnYaGrTVW2d7WF3Zdn2ZZvpxvoRltogx/GdqrS8mSSnlQinlcq314wXUwRz83d/9XT76\n6KNFlwFsM2qs7e6/4X3y3rXr169nZWXlgbH8xvXDo+J+29/tGPphh97Gxka++eab3j2zOF8C87Kv\ngb+UcjJdz37nYpK3k7y6n3Ww3Gqt2djYGDkbgUABezMca9v3xRdf7HYv964dOfLtHrlFD/MBJnW/\nLe91DP36+vqsimEf7HcP/9EMvhMe+izJn+5zDeyr/57kP+xqi83NzbFvQAIF7M4rr7ySf/mXf8nd\nu3cXXQoAC7LfgX94FMrQV9nFwK1lmLqp/1XWsh4oliyuvm8fcb77mTz+/d//fex9+/UaWPTzOIll\nqfH27dv3ri+6jS7Lc7KT/a7x2rVr+dd//deR9+3U1ka7MWLZf0vyx0n29++/7H/rZalvEe3z/lCx\n/yvJ9/a4l//Ru349exv20X999/ex1Vs2yd9m3H5mVc92O9U3j1r+e/rD9R5uK8kfJvnXJF9n2P5n\n/3eadj/Dn7s9aLe7Nsf2Mn5Y1Pzs6yw9pZR3k3xVa32ru30iyVvDMf1jtnk69/9yAADQou/VWnfb\nEzOR/Z6H/0oe7NE/kuQ3+1wDAAA8NvZ9Hv5Syqe11ue76+eTnKq1fr7D+iXJdzP4cPL/7rDru90F\nmI8DGd9J8GySkuR/7rC9Ngrzo33CctupjT6ZQfu7XucUzBcR+I8leSnJl0lu1Vr/Zl8LAACAx8jS\nn2kXAADYu/0eww8AAOwjgR8AABom8AMAQMMEfgAAWFKllMPT7mO/z7TLY6SUcjzJ8SRXk6TWem4v\n6yxBjSeTnOluvlZr/XD/Ktzdc9Ste6LW+tN9Ko9HmDa6P/VtW/eRa5/TvE52u3xZ6uvuW0tybNrX\n05yev5m95udY38kMzre0dPVt226qNjmn528tyc1u85rk+xmc1njvaq0uE1y6P8iZJK9l8OJ92Lrv\nLmONGTTAm93l5TnXc7l3/UKSH+5lnUXWmOSFJD/prr+WwTy5v7dMNW5fN8lf72d9y3DRPuf32tJG\np38O++s+iu1zmtfJbpcvUX3PJXk/yYVle/66y2vdsqlf83Oo73AGH5SS5OUkN5fp+du+3bRtck6v\nv1Ozfh8zpGdyZ2qtb9XBp69XSik/3GndDD6R7bcdayylvJDkbq31qSRvJnm/lPJ78yik+3R/tbfo\nYpK3d7vOPE34+Ou1O1dE97xey4Nni56r3TxHpZTXkpzN4AQ7jxvtc5e00X2rb7juI9k+p3mddL/z\ntUmXL0t9SVJr/SzJ3++lpn2ob717rU/9mp9HfbXWr2utl7pll5L8Zi+1zau+3nZTt8k51vd6kl90\n3wDMhMA/gUfhTX0J/zEezYMv5M9GPNYk68zTQx+/96Y19FSt9ZN5F9Yz0XPUhcVr25c/DrTPPdNG\np/c4tM+9vE6Gr91Jl0/zupplfdu3ncX7xMzrq7X+07btp3nNz+3564alnEsyzRC2udQ3wzY5r+fv\n3e76hVLKmcyAwD+ZR+FNfdn+Ma7nwTfLr7bXM+E687Srx+8+aZ+dd1HbTFrjsRF/38eF9rk32uj0\nHof2uZfXydfdOk9tW2/c8mleV7Osbx6v77nWN4PX/DzreyuDIT4Xl7C+WbXJudRXa/1lrfVHSV5K\ncmoW3/YK/JN5FN7Ul+0f481tt9fy7bA1yTrztNvHP1Fr3bfhDJ2H1tj1Hr83vLkfRS0Z7XNvtNHp\nPQ7tc5rXyW6XL0t9szTv+qZ9zc+tvm4I4/NJUko5tiz1dd/0zqpNzvXv2/3P+ijJf5quTLP0pJTy\nRpLfH3P3xe7JXuib+qxq3GbeM0VcyeCT6dCRfHsc3yTrzNPEj9/9DU7tR1HbTFLjyQx6AJJBj8Fa\nKeW5Wuv/vj8lzo/2OVfa6PQeh/Y5zevkn3e5fFnqG5rFsT5zq29Gr/l5Pn9DH2Xvz+Ws67ucwfj4\nN2fUJvfj+buWB4eE7s0sjwBu9ZLBUfDne7dPZdtR3Rm8iD7tLjczOGr+H5epxt59b2QfZrFI8mnv\n+vkkf9BdP57k8E7r7OPzNkmNJ5I811tv7rOn7LbGfm1ZwAw0i7xon/N9bWmj09fXr+tRbJ/TvE52\nu3xZ6uu9rmYxS888nr+Zvebn9fz1lk/1mp9nfbNok7OuL4NZjtb6y6d9DdZaU7qd8RCllE/r/a+m\nzic5VWv9vPvq/Te11q97676c5KW6z3MtT1JjKeVEkit1MANBSikv1znNWd19hfdSki+T3KrdAYml\nlMtdbf80bp398rAaM/j0f37bZif3s85Jnsfeui8nOV5r/dl+1bcMtM8916SNzrm+FtrnNK+T3S5f\novqey2BY3dEMhgPu+XiaWdfXvU/M7DU/h/qOZ3DQ6QcZ9FhfqbV+vpfa5lHftn1P3Sbn9Pd9r7tc\nTfKrWuvv9lrfvToF/sk8Cm/qy/6PEeZF+wSA8QR+AABomFl6AACgYQI/AAA0TOAHAICGCfwAANAw\ngR8AABom8AMAQMMEfgAAaJjADwAADRP4AQCgYQI/AAA0TOAHAICGCfwAANAwgR8AABom8AMAQMME\nfgAAaNj/D2UG2WVzCVQcAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x7f9d19a0e150>"
]
}
],
"prompt_number": 275
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now check"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"detectorParams = p_refined[:10]\n",
"\n",
"# strain fitting\n",
"g_initial = np.hstack([results['expMap_c'].flatten(), results['tVec_c'].flatten(), vInv_s.flatten()])\n",
"g_refined = fitting.fitGrain(\n",
" xyo_det, hkls, bMat, wlen, detectorParams, results['expMap_c'],\n",
" results['tVec_c'], vInv_s, beamVec=bVec_ref, etaVec=eta_ref,\n",
" distortion=(dFunc, results['dParams']), gFlag=gFlag, gScl=gScl,\n",
" omePeriod=omePeriod\n",
" )\n",
"\n",
"resd_f2 = fitting.objFuncFitGrain(\n",
" g_refined[gFlag], g_refined, gFlag, detectorParams,\n",
" xyo_det, hkls, bMat, wlen, bVec_ref, eta_ref, dFunc,\n",
" results['dParams'], omePeriod, simOnly=False\n",
" )\n",
"xyo_f2 = fitting.objFuncFitGrain(\n",
" g_refined[gFlag], g_refined, gFlag, detectorParams,\n",
" xyo_det, hkls, bMat, wlen, bVec_ref, eta_ref, dFunc,\n",
" results['dParams'], omePeriod, simOnly=True\n",
" )\n",
"\n",
"print \"Review of ssq values:\\n\\tInitial\\t\\tDetector only\\tStrain fit\\n\"\n",
"print \"\\t-------\\t\\t-------------\\t----------\"\n",
"print \"\\t%.4e\\t%.4e\\t%.4e\" %(sum(resd_i**2), sum(resd_f**2), sum(resd_f2**2))\n",
"print \"\\nCalibrant Hencky Strain Tensor (sample frame):\\n\"\n",
"print logm(np.linalg.inv(mutil.vecMVToSymm(g_refined[6:])))\n",
"print \"\\nCentroidal coordinates [microns]:\"\n",
"print \"\\tX\\t\\tY\\t\\tZ\"\n",
"print \"\\t%.3e\\t%.3e\\t%.3e\" %tuple(1e3*g_refined[3:6])\n",
"\n",
"fid = open(new_parfilename, 'w')\n",
"# initialize output dictionsary\n",
"# DARREN: better way?\n",
"new_par = {\n",
" 'oscillation_stage':{\n",
" 'chi':0., \n",
" 't_vec_s':np.zeros(3)\n",
" }, \n",
" 'detector':{'id':'GE', \n",
" 'pixels':{'rows':2048, 'columns':2048, 'size':[0.2, 0.2]}, \n",
" 'transform':{'tilt_angles':np.zeros(3), 't_vec_d':np.zeros(3)}, \n",
" 'distortion':{'function_name':'GE_41RT', 'parameters':np.zeros(6)},\n",
" 'saturation_level':int_cutoff\n",
" }, \n",
" 'calibration_crystal':{'grain_id':0, \n",
" 'orientation':np.zeros(3), \n",
" 'position':np.zeros(3), \n",
" 'inv_stretch':np.hstack([np.ones(3), np.zeros(3)])\n",
" }\n",
" }\n",
"\n",
"new_par['oscillation_stage']['chi'] = float(results['chi'])\n",
"new_par['oscillation_stage']['t_vec_s'] = results['tVec_s'].flatten().tolist()\n",
"\n",
"# ...chicken and egg problem here, until this format is standard\n",
"new_par['detector']['pixels']['rows'] = 2048\n",
"new_par['detector']['pixels']['columns'] = 2048\n",
"new_par['detector']['pixels']['size'] = [0.2, 0.2]\n",
"\n",
"new_par['detector']['transform']['tilt_angles'] = np.array(results['tiltAngles']).tolist()\n",
"new_par['detector']['transform']['t_vec_d'] = results['tVec_d'].flatten().tolist()\n",
"\n",
"new_par['detector']['distortion']['function_name'] = 'GE_41RT' # only choice besides None for now\n",
"new_par['detector']['distortion']['parameters'] = results['dParams'].tolist()\n",
"\n",
"new_par['calibration_crystal']['grain_id'] = grain_id\n",
"new_par['calibration_crystal']['orientation'] = g_refined[:3].tolist()\n",
"new_par['calibration_crystal']['position'] = g_refined[3:6].tolist()\n",
"new_par['calibration_crystal']['inv_stretch'] = g_refined[6:].tolist()\n",
"\n",
"print >> fid, yaml.dump(new_par); fid.close()\n",
"\n",
"fid = open(new_parfilename.split('.')[0] + '.par', 'w')\n",
"\n",
"print >> fid, \\\n",
" \"%1.7e\\t# tiltAngles[0]\\n\" % (results['tiltAngles'][0]) + \\\n",
" \"%1.7e\\t# tiltAngles[1]\\n\" % (results['tiltAngles'][1]) + \\\n",
" \"%1.7e\\t# tiltAngles[2]\\n\" % (results['tiltAngles'][2]) + \\\n",
" \"%1.7e\\t# tVec_d[0] \\n\" % (results['tVec_d'][0]) + \\\n",
" \"%1.7e\\t# tVec_d[1] \\n\" % (results['tVec_d'][1]) + \\\n",
" \"%1.7e\\t# tVec_d[2] \\n\" % (results['tVec_d'][2]) + \\\n",
" \"%1.7e\\t# chi \\n\" % (results['chi']) + \\\n",
" \"%1.7e\\t# tVec_s[0] \\n\" % (results['tVec_s'][0]) + \\\n",
" \"%1.7e\\t# tVec_s[1] \\n\" % (results['tVec_s'][1]) + \\\n",
" \"%1.7e\\t# tVec_s[2] \\n\" % (results['tVec_s'][2]) + \\\n",
" \"%1.7e\\t# expMap_c[0] \\n\" % (g_refined[0]) + \\\n",
" \"%1.7e\\t# expMap_c[1] \\n\" % (g_refined[1]) + \\\n",
" \"%1.7e\\t# expMap_c[2] \\n\" % (g_refined[2]) + \\\n",
" \"%1.7e\\t# tVec_c[0] \\n\" % (g_refined[3]) + \\\n",
" \"%1.7e\\t# tVec_c[1] \\n\" % (g_refined[4]) + \\\n",
" \"%1.7e\\t# tVec_c[2] \\n\" % (g_refined[5]) + \\\n",
" \"%1.7e\\t# vInv_s[0] \\n\" % (g_refined[6]) + \\\n",
" \"%1.7e\\t# vInv_s[1] \\n\" % (g_refined[7]) + \\\n",
" \"%1.7e\\t# vInv_s[2] \\n\" % (g_refined[8]) + \\\n",
" \"%1.7e\\t# vInv_s[3] \\n\" % (g_refined[9]) + \\\n",
" \"%1.7e\\t# vInv_s[4] \\n\" % (g_refined[10]) + \\\n",
" \"%1.7e\\t# vInv_s[5] \\n\" % (g_refined[11])\n",
"fid.close()\n",
"\n",
"# new style method 2; use an axes array\n",
"fig3, axs3 = plt.subplots(1, 3, sharex=False, sharey=True)\n",
"fig3.subplots_adjust(wspace=0)\n",
"fig3.suptitle(\"Residuals\", fontsize=14, y=1.0)\n",
"titles = [r'$\\Delta$X [mm]', r'$\\Delta$Y [mm]', r'$\\Delta\\omega$']\n",
"for i in range(3):\n",
" axs3[i].hist(resd_f.reshape(sum(idx_new), 3)[:, i], color='b')\n",
" axs3[i].hist(resd_f2.reshape(sum(idx_new), 3)[:, i], color='g', alpha=0.5)\n",
" axs3[i].set_title(titles[i], fontsize=12)\n",
" if i > 1:\n",
" axs3[i].set_xlim(-0.0007, np.max(resd_f.reshape(sum(idx_new), 3)[:, i])+0.0007)\n",
" axs3[i].set_xlim(-0.0007, np.max(resd_f.reshape(sum(idx_new), 3)[:, i])+0.0007)\n",
" else:\n",
" axs3[i].set_xlim(-0.57, 0.57)\n",
" axs3[i].set_xlim(-0.57, 0.57)\n",
"\n",
"fig4, axs4 = plt.subplots(1, 2, sharex=True, sharey=False, figsize=(10, 5))\n",
"fig4.subplots_adjust(wspace=0.2)\n",
"fig4.suptitle(\"reflections\")\n",
"\n",
"axs4[0].plot(xyo_det[:, 0], xyo_det[:, 1], 'rx')\n",
"axs4[0].plot(xyo_f[:, 0], xyo_f[:, 1], 'k.')\n",
"axs4[0].plot(xyo_f2[:, 0], xyo_f2[:, 1], 'b+')\n",
"axs4[0].grid(True)\n",
"axs4[0].axis('equal')\n",
"axs4[0].set_xlim((-204.8, 204.8))\n",
"axs4[0].set_ylim((-204.8, 204.8))\n",
"axs4[0].set_xlabel('detector X [mm]')\n",
"axs4[0].set_ylabel('detector Y [mm]')\n",
"\n",
"axs4[1].plot(xyo_det[:, 0], r2d*xyo_det[:, 2], 'rx')\n",
"axs4[1].plot(xyo_f[:, 0], r2d*xyo_f[:, 2], 'k.')\n",
"axs4[1].plot(xyo_f2[:, 0], r2d*xyo_f2[:, 2], 'b+')\n",
"axs4[1].grid(True)\n",
"axs4[1].set_xlim((-204.8, 204.8))\n",
"axs4[1].set_ylim(r2d*omePeriod[0], r2d*omePeriod[1])\n",
"axs4[1].set_xlabel('detector X [mm]')\n",
"axs4[1].set_ylabel(r'$\\omega$ [deg]')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Review of ssq values:\n",
"\tInitial\t\tDetector only\tStrain fit\n",
"\n",
"\t-------\t\t-------------\t----------\n",
"\t9.2557e-02\t8.2915e-02\t7.9697e-02\n",
"\n",
"Calibrant Hencky Strain Tensor (sample frame):\n",
"\n",
"[[ -5.47257869e-06 -1.23333606e-06 -4.30433271e-06]\n",
" [ -1.23333606e-06 1.78851689e-05 -3.61202949e-06]\n",
" [ -4.30433271e-06 -3.61202949e-06 -3.18090323e-05]]\n",
"\n",
"Centroidal coordinates [microns]:\n",
"\tX\t\tY\t\tZ\n",
"\t8.867e-01\t-4.922e-02\t2.474e+00\n"
]
},
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 276,
"text": [
"<matplotlib.text.Text at 0x7f9d1930ca10>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAvwAAAI+CAYAAADAeN4wAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\naJjADwAADfv/AbupTxj1x3/MAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x7f9d19589050>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAABPEAAALTCAYAAAB36ZefAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAXEQAAFxEByibzPwAAIABJREFUeJzs3W+QG/d95/lPA2jMkMMxKYfcpPLIUu5uN0xt1nSc7DJ3\nNT6fxNFakTxUpMSsxFt15UQSRdXM3V4i0y6bGmoVU6Ttrasj62I6TvLIcSnyJuEcJUYztJc2HySb\nimx667h1eSDbeZRKZMWWMhwOphvA7x50YwZ/GoN/je5fN96vqi6QAKZ/DeCLX//6i98fxxgjAAAA\nAAAAAPYqpH0AAAAAAAAAAHZHEg8AAAAAAACwHEk8AAAAAAAAwHIk8QAAAAAAAADLkcQDAAAAAAAA\nLEcSDwAAAAAAALAcSTwAAAAAAADAciTxAAAAAAAAAMuRxAMAAAAAAAAsRxIPAAAAAAAAsBxJPAAA\nAAAAAMByJPEAAAAAAAAAy5HEAwAAAAAAACxHEg8AACBDHMe5z3Gcy47jvOw4zprjOO9zHOdJx3Ge\nSOE4fpR0uQAAAJOqlPYBAAAAoD+O4xyQ9C1JHzTGfMdxnMuSXg8f/njCh3NA0n5J70u4XAAAgIlE\nTzwAAIDseFLSfmPMdyTJGHNS0q+Mu1DHcR5wHOfe5vuMMd+WdMAY8/S4ywcAAABJPAAAgCw5JulH\nbfe9M84Cw95/LyvoddfCGPNP4ywbAAAAO0jiAQAAZMe7Jf0w4TK/qmDorJNwuQAAAGhCEg8AACAB\njuM87jjOdcdx7g///aNwTrvG4+8LF6t43XGcNxzHOd/02BHHcdYkHZH0U+GCFmvhfecjiuu5z6bn\nHAgXyrjctN8j4WNPSmoMo/1S22ON17PW5z7vb3p8f7gYx7ccx3ksPM5vOY5Tdxzn5Yh9fbFpf3XH\ncZ7t820HAADIDRa2AAAAGDPHcR5TkGy7T9J3w7u/K+n+8PEHJH3cGDMf/v9+Sdcdx7nPGPOrxphb\nkuYdx/mRpLcaz2t+bkSZu+4zvO99CobKPmCM+dvwvh9J+pbjOAeMMb/nOM5PSXpW0m825uILE3nv\nD4//elu575P0NUn/S9PznwjL/qwx5hPh+/C4gqTkU5K+F5ZxUtLjjuM8a4z5XLjLL0n6K2PM58N9\nfUtBz0AAAICJQk88AACAMTPG/ImkL4b/vccYc9IY835jzH8f3vdVNa0ua4z5uqTvK0ho3avddRvm\nuts+39P0nMuNBF7onCTT4/XckvRil4e/JOmvGwm88PlfkvRtSR93HOfe8O+/Gj78rfD9+M+Sngjv\ne6Bpf/dLOti2r7d3Oz4AAIA8oiceAABAMhoLUPxx851hz7X9kj7rOC35uB9JqisYzvr9QQrqY5/3\nOY5TCPf9teYnhD3gPqcejDHvtO1bjuPcp6B33YWIP/liuD0l6RPaWaCj0TOxeZ/vbvq71xUk//6x\n0TsvTOQBAABMFJJ4AAAA6bovvH08xtVee+7TcZzHw3/G2avtfbs89q3w9siA+3xKwZDdC47jPCXp\nV8KefAAAABOF4bQAAADpaiTcfirhfY6j3PZ9N3u77bYvxpjvS/o5Sf8p3O+3wjn2AAAAJgpJPAAA\ngHQ1hpN+JOrBcFGMceyz0TPuV7o8Z9Aec2raZ1SPvMZiFH89yA7DOfTeCRfjOBbe/cXd/gYAACCP\nSOIBAACkqzEn3cfDFWS3OY5zQU1zxsW8z9fDu55sTxQ6jvNyRLnvVg9hr7lvS/qpiCTgAwrmwfu9\nvl7BjtNN+/+6guG1alqcAwAAYCKQxAMAAEhGY9hqy2oQxph3JH02/O91x3FedhznguM4r0uqN6/y\nqmCxivZkWqOHW/MKrj33GT7nqfA5X3Uc53XHcb7oOM4bktaa5tJ7I7z9VcdxjjQSfo7jNMr9sbbj\n+RUFQ2a3F58In/ukpCea9tt4Hfe0Pa/lvrDc5hV6HUnfbVtRFwAAIPccY0zaxwAAAJBrjuM8Kem8\ngiTc9yRdMMb8fttznlWQVLtPQS+408aYPw0fu1dBj7QnJRkFvdk+IennJV1WsMrs2wqSZH/azz6b\nnvOYpE8qWHDi2+Fz/nPbc14Py3jZGPN02LvvKUmPh8dzWtKXwsSgHMfZryCJd592evxdbiQkw9Vz\nXw73+b3w77+uIPH4RLjPzxpjPuk4zg8VJCp/L3yN90n6OEk8AAAwaUjiAQAAAAAAAJZjOC0AAAAA\nAABgOZJ4AAAAAAAAgOVI4gEAAAAAAACWI4kHAAAAAAAAWI4kHgAAAAAAAGA5kngAAAAAAACA5Uji\nAQAAAAAAAJYjiQcAAAAAAABYjiQeAAAAAAAAYDmSeAAAAAAAAIDlSOIBAAAAAAAAliOJBwAAAAAA\nAFiOJB4AAAAAAABgOZJ4AAAAAAAAgOVI4gEAAAAAAACWI4kHAAAAAAAAWI4kHgAAAAAAAGA5kngA\nAAAAAACA5UjiAQAAAAAAAJYjiQcAAAAAAABYjiQeAAAAAAAAYDmSeAAAAAAAAIDlSOIBAAAAAAAA\nliOJBwAAAAAAAFiOJB4AAAAAAABgOZJ4AAAAAAAAgOVI4gEAAAAAAACWI4kHAAAAAAAAWI4kHgAA\nAAAAAGA5kngAAAAAAACA5UjiAQAAAAAAAJYjiQcAAAAAAABYjiQeAAAAAAAAYDmSeAAAAAAAAIDl\nSOIBAAAAAAAAliOJBwAAAAAAAFiOJB4AAAAAAABgOZJ4AAAAAAAAgOVI4gEAAAAAAACWI4kHAAAA\nAAAAWI4kHgAAAAAAAGA5kngAAAAAAACA5UjiAQAAAAAAAJYrpX0AeeE4jiPpYPjfu2keCwAAyJy9\n4e1bxhiT6pGgA+08AAAwgtjaeSTx4nNQ0ptpHwQAAMi0fybpB2kfBDrQzgMAAKMauZ3HcFoAAAAA\nAADAcvTEi8/20Ip/+Id/0MzMTMuDvu/rnnvu0Y9+9CO5rpv4wSF9xACIARADiIqBjY0N/fiP/3jj\nKQzVtBPtPOyKGAAxAGIASbTzSOKNwczMTGTjrvEYX+jJRAyAGAAxAGIg+2jnIQoxAGIAxACSiAGG\n0wIAAAAAAACWI4mXkFqt1nKLyUMMgBgAMQBiIJ/4XEEMgBgAMYAkYoAkXkLq9XrLLSYPMQBiAMQA\niIF84nMFMQBiAMQAkogBkngJKRQKLbeYPMQAiAEQAyAG8onPFcQAiAEQA0giBoiuhBSLxZZbTB5i\nAMQAiAEQA/nE5wpiAMQAiAEkEQMk8RJSKBS0vLxMVn6CEQMgBkAMgBjIJz5XEAMgBkAMIIkYcIwx\nY9v5JHEcZ0bSHUm6c+eOZmZmUj4iAACQBRsbG9q3b1/jv/uMMRtpHg860c4DAADDiLudR4oYAAAA\nAAAAsBxJPAAAAAAAAMByJPESUq/X9Y1vfIPlpicYMQBiAMQAiIF84nMFMQBiAMQAkogB5sSLSa+5\nUnzfV7lclud5cl03jUNEyogBEAMgBhAVA8yJZz/aeeiFGAAxAGIASbTz6ImXoMOHD6d9CEgZMQBi\nAMQAiIF84nMFMQBiAMQAxh0D9MSLCauWAQCAYdATz3608wAAwDDoiQcAAAAAAABMGJJ4AAAAAAAA\ngOVI4gEAAAAAAACWI4kHAAAAAAAAWI4kHgAAAAAAAGA5kngJ8X1fhw4dku/7aR8KUkIMgBgAMQBi\nIJ/4XEEMgBgAMYAkYoAkXoLeeuuttA8BKSMGQAyAGAAxkE98riAGQAyAGMC4Y4AkXkJKpZJu376t\nUqmU9qEgJcQAiAEQAyAG8onPFcQAiAEQA0giBhxjzNh2Pkkcx5mRdEeS7ty5o5mZmZSPCAAAZMHG\nxob27dvX+O8+Y8xGmseDTrTzAADAMOJu59ETDwAAAAAAALAcSTwAAAAAAADAchMzWNtxnCclnQ//\n+4Qx5k/C+x+Q9ICk70qSMeZLu90PAAAAAAAAJG0ikniO47xPUt0Y827HcZ6Q9FXHcQ4YY/5J0nlj\nzPvD5605jvO6MebWLvcDAAAAAAAAiZqU4bT3GGN+X9ruUfc9SfeFvfO+2/S865I+GSb6vtd+/ygH\nUKvV9Mwzz6hWq42yG2QYMQBiAMQAiIF84nMFMQBiAMQAkoiBiVyd1nGcH4a98r4o6YfGmE+G9z+m\nIFn3uqS3jTGfCO9/XNInGj3zuuxz11XLfN9XuVyW53lyXXcsrwt2IwZADIAYQFQMsDqt/WjnoRdi\nAMQAiAEk0c6biOG0zcK57r4Y/vceST9qevgdSfcp6IX3dtP9b4f39+Xu3bsqFosqFovb99VqNX36\n059WvV6X7/uS1PWL3Xi8WCyqUOjsLFmr1VSv11UoFFrKaDDGqFqtUoZlZdRqNS0vL0fuI0uvgzKG\nL6NQKGzHQJZfB2UMX0atVtNzzz2X+ddBGcOVUavVttsDjX/X63VVKpXIv0d2NNfvmEzEAIgBEANI\nJAaMMRO1Sbrc/G8Fc981/v+4gl54kff32O+MJNNre/rpp40kc/DgQdPN4cOHjSRz48aNyMeXl5eN\nJHPq1KnIx2/fvk0ZlEEZlEEZlEEZlpXR2GePbcZY0F5i697Ou3PnTtfPHAAAoNmdO3dibedN1HBa\nx3GelfRFEyxooXDuu2PGmF8N//9xSfdK+nbU/caYp3fZ9/YwizfffFOzs7ORv9w7jtNoDFrVO4Ay\nKIMyKIMyKIMyxltGY5/tZWxuburgwYONuxlOa6Few2kBAACixD2cdmKSeOG8dt8yxnw//P9jxpg/\ncRznDWPMfxfe97Kkjxtj/rbb/bvsn8YdAIzDhQvSkSPS/Pz2XbWa9MIL0pkzUkt+ZW1NunVLOn06\n+eMEhsScePajnQcAAIYRdztvIgZrhwm8lyV913GcuuM4dQXz4UnSU47jnA976a01Jeq63Q8ASNKR\nI9KJE0GCLlSvS88/H9xuW1sLnnfkSPLHiPy7cKElBqUgmXz2bHDbYm0teD4AAAAQo4lI4hlj/pMx\nptC2/X742NeNMZ8wxnyucd9u92MEXAABGMb8vPTSSy2JvMaQxO2hiY0E3ksvtfTYA2JDMhkAAAAp\nm4gkng3q9bq+8Y1vtMyFM3GycgE0pmQjMQBiYARNibyl48c1OzsrSZqdndXS8eOZSeARAxkWUzKZ\nGMgnPlcQAyAGQAwgiRiYmDnxxq3XXCm+76tcLsvzvK4TYE+Etgucra26pqcLqlTqmpoq2NGbJuIY\nfF8qlyXPk7Y/vgGPlRgAMTC6pePHdWllRVJJki/JlVTV4sKCLl65ku7B9YEYyIGw7l+am9Pla9fl\n+xty3RmdfOiYLt682fOcEBUDzIlnP9p56IUYADEAYgBJtPPoiZegw4cPp30Ikb3MuhrHkNYs9KYZ\n49A9K2IAqSIGBlerBYn0ra26Ll+7riCB12gYuZJKunztura26vL9iB6zliEGMm5+Xktzc7q0siLf\n9yRJvu/p0sqKlubm+jonEAP5xOcKYgDEAIgBjDsG6IkXk8ysWtYl+dSx0uOYe8RlojfNiL0tAMTj\n7Nlg2H2/lpeDvwHiVKsFUz/U63XNzs6GCTxX0l1JeyX5ct2y1tfXVSgUVCi0rZy8C3ri2S8z7TwA\nAGCVuNt5JPFikqnGXa/hojfGk8Ab5wXQuGQi2QjkXBbrDuTPOJPJJPGS4TjOfmPMO0P+bXbaeQAA\nwBoMp8Xodhsuuro6th54L7wQJAqnpwvy/Q0FSbG74aN3Jfny/Q1NTxdULgfPT8MgQ/cqFem55yxa\nXZcVgJFDxWIwF+XUVEEnHzomqaqg/lB4W9XJh45paqog1yWBh/E4cyb4oatSqct1ZxScD/aGj+6V\n5Mp1Z1Sp1OV5wfORHMdxDjiO81jEffVwq0m6J7z/AcdxzjuO84TjOE+kcsAAAABDIIlnu3HNYddt\nbrpHHu57Tp9BZeUCaJBk4549wfOtWV03KysAA8NYW9PFmze1uLAg1y1Lkly3HPSMvXmz/7oSGALJ\nZHs5jnOvpC9JeqrtoSclHTDGFIwxRWPM34b3nzfGfMIY8yVJv+I4DidDAACQCSTxbBeRlInsWTVM\nUiZqcm4pmJx7aSmWw2+WlQugvpKNxT2qVOpaX49nwYvYjHFRDiBVTXF78coVra+vS5LW19eDoe1t\ncQ+MDclk6xhjvi/ppYiHnpT0WcdxHmjc4TjOk5K+2/Sc65I+Od4jBAAAiAdJPNtFJmXaelYNmJTp\na7jo5T8Y30qPSV8ADdibsfj5C72TjYWanv3IL+vd77Z7dV1rVwAGBhFRxxUKhZbbqLoSKcrr0H6S\nyTZzIu77oqT7JK05jnM+vO/nJH2v6TnfD58DAABgPZJ4CfF9X4cOHZLv+72f3K7t4rSlZ9UQvapS\nnZsujQugYXsz7pJslNTag9H3gh6MuwxFHikGBhXVy7KPY8R4JRoDeXLrVkcdVygECwcUms9ijbry\n1q3kj7FPExMDeRzaH1MyeWJiwALGmM8ZY+YlHZP0ccdx9iuYF6854fe2Ykji8bmCGAAxAGIAicSA\nMYYthk3SjCQjydy5c8e08zzPSDKe5+3cef68MaurHc+tVo1ZXg5ut62uGvOxj5nFctm4xWkjGeMW\np81iuRy5j91Uq8Z4njGVq68ZVyUjlYy0x0gmvC0Z191rKpWa8by24xjF6qox99zTcryeZ4wU3O72\nvLjL7ii3vcy2/1cqNSMZs75eM5VKLfwMBnvfImMgZtufbaVmXHdvcp8t+pJEDGReRL0YWScaEzzv\n/PnEDq1vu7yGzc22GLD1NcShSz1aqdQiH7deTLEZVQ/cuXPHNNoQkmaMBe2arG2SHpe0tsvja5Lu\nl3RZwZx4zX/3eh/7327nvfnmm2Zzc9N4nre9bWxsGEnm7t272/d103i8VqtFPl6tVo3neaba5SRd\nr9cpw8IyGjEQVVaWXgdlDF9Gc/2e5ddBGcOXsVs9kKXXQRnDlVGtVrdjYGNjw2xubpqNjQ3z1ltv\nxdrOS73RlZetVxKvXq+b27dvm3q9vnNnlwuYbgmmxYWF8IMvhUmZkpFkFhcXO8rrqdc+FxYG32cv\naV+cN73fLReTPRJ4xux8JoNsy8utxUfGQMyWl0c7RoxXEjGQeWkm++Oyy2vY2mqKAZtfQ1yazjXB\nDwvGuO7e4ByTldce87krqh4giRdLO+yxHkm8y5LulfSEpJeb7v+4pC/0sf+Zps+o6/b0008bSebg\nwYNdY+Dw4cNGkrlx40bk48vLy0aSOXXqVOTjt2/fpgxLy+h2js/a66CM4cport+z/DooY7Qy/vAP\n/zCyHsja66CMwcto7LPHRhLPlq1XEq+riIu45gRT9dqq8Q4cCnrNxdWzqq3MxcXF+C+u0k7YdbO6\n2rs3Y5djP3PGmM1Nu3u50RMPuZCHHlx5eA0xSfTHonFIILFMEi+WdlhLTzxJ+xWsTNv4f3Pi7o3m\n+yW9p4/979oTr7H5vm9l7wDKoAzKoAzKoAzKGG8ZjX02NnriWb4NncQzpqXh35JQK06bXyj8BxNr\nz6ouFxmxX2Ba2ptmcXEx+mJywN6MWbgozcIxAl3loQdXHl5DlD5+pGmZtqEwlf0fFMaclCWJN3Ib\n7F4Fw2X/UdJ7w/sel/RDSecV9L57V9Pz7w/vf1bSb/ZZxvDtPAAAMLHibuel3vDKyzZy4y7sIdaZ\ndCmYU6f+t93nYStO938h1GUevq4JtlF6yFnSEyX23mk2X5g3Pt+mYyyV9hnJmFJpX+sx5nkuLuTC\nSIloS3oD5zKZ3sePNLkc2j/Gup8knv0bSTwAADAMkniWbsM27loSTLstlnD1NXPK3WukQufF4BCL\nW0QdR+TF7agsSHjFejFpSWJy1+Pbty/YwmNYX99ZlKPbcwBbxJZ0T7E38EQMa+9RF45lKggLjCsp\nSxLP/o0kHgAAGEbc7byCkKoXXpDKZWl6uiC/tinJl3Q3fPSuJF++v6HpRx7U7/ob+oVfeEWuW5Yk\nuW5Zi4uLunj1qnTihLS2NvRxFIvS2bPBbazm57U0N6dLKyvyfU+S5PueLq2saGluTpqfj7nATmfO\nSJ4nVSp1ucU9klxJe8NH90py5Rb3qFKpy/OC50daWwve55de2j7uQqHQcqv5+eDxET8PYFK11In+\nhrrWidMFlcvB8yNFfBfr9XrLbdR32qrXYLOm93fp+HHNzs5KkmZnZ7V0/LiKv35C7h9/WVMPP6iT\nDx2TVFXwPii8rerkQ8c0NVWQ647h3BOj2ouflX/tura26rp87bqkkqSp8NEpSSVdDh/3r11X7cXP\npnewAAAAyLdRs4Bs/f1CW61WzalTpzomTuyrJ55KpnL1te3eCh29v4xJvwdYm756orQNAx77ULeu\nQ5b77M044vC8bjEQK4bTWi2RGMi4PAx/3/01TBvJMaXSnsz1QovSs2eaBb2xR7X80TcG68390Td2\n3V9UPUBPPPu3Ydt5mBzEAIgBEANIop2XeqMoL1uvxp3neUZS99VNdkswtQ3TiRwSFu7DlqTMMENY\nxzLUrS2pZVZXzTPPLBnH+Z2di8nFxZ0hph/7WAyvPlrPGIhZLufiyrikYyDr4orhNL8LnWUXjSRz\n6pFHOp9syTx+vfSdaL36mvEOHDLVa5ZOP9CnatUY79U1U9l/sOnHttnw9c7u/Ci1/6DxXl3rmZSN\nqgdI4tm/jdzOQ+4RAyAGQAwgiXZe6o2ivGz9/EK7vLwcnZXfZXXaqB5iY5u/LkZ998RruugZywVe\nxPxvjWRhR1ljnidu1xiIrYwczsWVkcRGP5KIgdwYsQeXFd+FiNdQKu0xv/DP/7mpHjjQ+RosXdW7\n3bDzjNr4WgayumoWXTdsgE2bnZ6VMouu2/driKoHSOLZv43UzsNEIAZADIAYQBLtvNQbRXnZejXu\nuoq4gGlJZmXpAqeLXXvBJDHU6mMfa0nONd7f7YvJ5vfY8iRQL3leEdL2xAZiFMMCMql/F4Z9DbYv\nnmP6TJAWplqmgWj8XWrJ9zh+DIgpiReFJJ7929DtPAAAMNFI4lm6DdW463Ix1pGgsOCibWh9JOkS\nGeoWcRyFwu+YZz78aHbf2whW9D4ahwwkNhCTmJK2qX4XRn0NGZpHrq/624betCN8JnEPp41CEs/+\njSQeAAAYBkk8S7ehGncRFzbGdLm4yWIPsV0SL9EXReO9wE59jriEL2RTf71xy1BiAyMYw/ck8e9C\nDK8hE9/ffr+TtvSmHfLHgLgXtohCEs/+jSQeAAAYBkk8Szcad216XLQlNdTNqp5pSV7I5jThlYnE\nRtbY0EtqnDL0XbCqvupl0ISYLb1ph4iH6rkLwY9OLZ/LTPi5zLR+Lq+umeq5CwMfFkk8+zfaeQAA\nYBgk8SzdrGrc2XBR3uMYWi5Wx9gTL/V5sdolcSFry8VyTDKV2MgiW3pJjUPGvgvW1VfdDBszliRU\nR/kxYFw/JJDEs3+zqp0HAAAygySepVuvxl2tVjM3btwwtVqt47HYZeyifJy9q2xKAG3HwJ//+fgu\nZDP22fcjM4mNPiRaDwwiY8muvlj6XdgtBmyqr3Y1wg9FafWmjeW9jSkJGRUDJPHs36xq58FKxACI\nARADSKKdl3qjKC9br8ad53lGkvFarh7HKCsX5Qn2zEh7KGZzDIztWGzohRmzzCQ2+pB4PTAIS3pJ\nxcbS70K/MZB2fRUnG77DI/8YEOM5NSoGSOLZv1nXzoN1iAEQAyAGkEQ7L/VGUV62fhp3hw8fTvYL\nbftFeZKJRgvei81Nz/z0Tx826+uVzCej+hZzIiXriY1U6oEBZP39zYK+YsCC+ipONvSmHSmRGHOv\nzqgYIIln/2ZlOw9WIQZADIAYQBLtvNQbRXnZbJ0rxdqL8hQWeUi7V6INF7KJi/NzzlliwxY29JJC\nE0vqqzjZFmMDnxcT6NVJEs/+zdZ2HgAAsBtJPEs3mxp3tl0wRUpqqJtF82Jl4nMZhziSEjlMbNhi\nIpPLtrKovhqX1H9YsvTHAJJ49m82tfMAAEB2xN3OKwi588ILUrksTU8X5PsbknxJd8NH70ry5fsb\nmp4uqFwOnp+406el+fmWu4pF6eyeCyp+fa3l/tr98zq7eVq1Wts+1takCxd2L+fWLemll1rKKhSk\n5eXgdtv8fPC8W7eGeDH9KRYl15Wmpgo6+dAxSVUFn43C26pOPnRMU1MFuW7w/FxovLcnTmjp+HHN\nzs5KkmZnZ7V0/Lh04kTHZ9Riba3jOYXww2vcNpehtbXo/SDSmTOS50mVSl2uOyPJlbQ3fHSvJFeu\nO6NKpS7PC56PMbGovhqLtTVdvHlTiwsLct2yJMl1y1pcWNDFmzfH/91tqksuXrmi9fV1SdL6+rou\nXrlCHQIAAAD7jZoFZLPvF9pM9/iagJ4otvYEGbehe+BYukBBHqXeSwq9ZfX7kHZvWsvPLfTEs3+z\nqZ0HAACyg5546CnTPb4ielTV6/WW26ieWZkxYT1BajXJ96WtrbouX7suqaSgp5fC25IuX7uura26\nfF+dvS2l7r02z0bE7vx88HwMLu1eUujPkSMddUS9Lj3/fHC7rVHXHDmS/DG2s6E3bd57OQIAAGAi\nkMTLs6xelI86/NJWNlzIJiwTQ7sxccnlTMviDx02JND4MQAAAAA54JhgiABG5DjOjKQ7knTnzh3N\nzMy0PO77vn7yJ39Sf/d3fyfXdaN2Ea+2i7itrbqmpwuqVOqamirYd5EXYen4cV1aWVHQe8tX0HOr\nGiQhr1xJ9+CG4J87p5/87Gf1dz/4wXYM1GpB4urMmbYLybW14EI24xeStVrQO6her2t2dla+7yn4\nHO8qmG/Nl+uWtb6+rkKhoELBsp6hMUu8HuhHRF3g+0Hy1fOCXr3dnofBxRYD4eexNDeny9euy/c3\n5LozOvnQseBHGj4na0XFwMbGhvbt29d4yj5jzEZqB4hI1rXzYB1iAMQAiAEk0c4jiReTfhp35XJZ\nnueN/wud4YvyPCd9Eo0BC+UtKTsMK2PgwoVgyGVTHZD35HKa4owBvlPZFBUDJPHsZ1U7D1YiBkAM\ngBhAEu08htMmpFQq6fbt2yqVSuMvzIahS0PK8/DLRGPANlkd2h0zK2NgkGGGt251zLFWqwXPHWr1\n6Ak0agxKn4GUAAAgAElEQVTEMs8kUmVlPYCR8bmCGAAxAGIAScQAPfFi0usXWvQnzz3xJlYOhnYj\nlOFevnlx9mywiEW/lpeDv4Hd6IlnP9p5AABgGPTEQzIuXOjoHZVEj5tMr6yLThO4mEeuZXFRhZw5\ncyZImFYqdbnujIIfOfaGj+6V5Mp1Z1Sp1OV5wfMRIaVzHAAAADAKkniIduRIR1KlXg96gDSu1SXt\nXLC3DbEbGcMv8yHDQ7vRRV5Xj84IfuiISdrnOAAAAGAIDKeNSS6HWaQ1DJLhl4D1JmpRBRsX/2B1\n2tFZdK5hOK39ctnOAwAAY8dw2jzIyjCeNHrcMPwSsNbELqpgW6+tpnry4pUrWl9flyStr68HCVTq\nx/7QqxQAAAAZQxIvIbVaTc8884xqtZp9F4S7mZ/X0tycLq2shItMSL7v6dLKipbm5uK/uMnx8MuW\nGMBEynoM5Hn16F3FOBfgyDHADx3xSvocp+zXA4jG5wpiAMQAiAEkEQMMp41Jr2EWvu+rXC7L8zy5\nrmvVMJ4orBIbv44YwMTJegxMfL0QwxDWkWPAxqG9GZRmLEfFAMNp7TdwOw8ThxgAMQBiAEm08+iJ\nl5BCoaDl5eXInhI2DuPJZY+bNIYxN5XZiAFjCvYNnUYiOuqBjJn4RRVi6LU1UAxE1Vm/fVpn/2K+\npf4oFqWzv7im4ufb6o/5+eETeFmZ9mFIaZ7jsl4PIBqfK4gBEAMgBpBEDNATLybDTnhs6+Twuexx\nE9G70feDCznPC5IT3Z6XqTKBcZuwRRVSqw/TrD9yXnfZdo6jJ579WNgCAAAMg554OZCFyeFz2eMm\nxnmtrC4TGKcJXFQhtV5badYfOa+7cnmOAwAAQO6RxEtBpoaqrq3p4s2bWlxYkOuWJUmuWw56Ct68\n2f+Fui1Ds9IYxmz50GmgbxO6qMKZM0Hvs0qlLtedUfBjy97w0b2SXLnujCqVujwveH5s0qw/JqHu\nijrHFUvb57jan69Fn6fCv83aMGIAAABknDGGLYZN0owkI8ncuXPH7KZaNcbzjKlUasZ19xqpZKQ9\nRjLhbcm47l5TqdSM5wXPT8XqqjH33BPcmuB4peA26vFB9mVM8B5Iwe1uzxuHxYUFE3xepfB9LxlJ\nZnFhIVdlArE6f77ju1mtGrO8HFFPra4Gz8+ZtL7HqdUf58+bxaNH28ouG2nZPPPhR1ufm7XPvNs5\nbv/B4L7VVeMdONR5nor421HduXPHNNoQkmaMBe0atuHbeQAAAA1xt/NSbxTlZRu2cWdtYmccSbc4\nk4JDSCN5OlKZJEwAu4R11OLCQvh9NsZ19wb19RjqrjR/8Nku++prxlWprexZIxlTKr1rp+xryfwA\nE5vdznGvrm0/Vrn6WnCeuvrarn87KpJ49m8k8QAAwDDibucxnDYh9Xpd3/jGN3bmEpLiG6o6Drdu\ndQyTKhSk5eXgdltjuNWtW733mfLQrDSGMbeWuS7pusJ5sXuXeeRIx5DEel16/vngdltjiOORI6Mf\nMMYqsh5ANsQ0F+AgMZDm1AvbZT/yoHz5bWX/kySpWn1np+xf7jxnWG23c9yDx6SXXtLSI49o9vhx\nSdLswoKWlpZimQeQeiCf+FxBDIAYADGARGJg1CwgW3+/0HqeZyQZr9GNLeVeaX2J6AlmTJfeYAP0\nBEur92HaPfFKpT3h657uv8wsxAn61lEPIBti7Jk8SAxY0RMvsuzZ8HbaPP3wo8Y7cCjoiWeTEXsy\nLy4uRp+nyuWR69uoGKAnnv3bwO08TBxiAMQAiAEk0c6jJ16CDh8+HPwjK5PDR/QEkyJ6g/XRE8yG\nFXkTWY2wbQGP5jKf/NADTWX1WeYkTCw/YbbrAWRHzD2T+42BNFdQ7V22JFX1hVf+TL/1gV9U8UOW\n1UFD9GRuOU9d/gNFnqdqBW194IGRz1PUA/nE5wpiAMQAiAGMPQZGzQKy9fcLbYsszXUW0bOkpTdY\nnz3BlpdN2Juhv215efyvaSzzWkW8H9WqMcsffcNUD/xYa5kqmcWjR/sq09q5EwGMX8Jz8TWrXgsW\nd3j64UebehE3euJZtBBTlAF7Mqd5nqInnv3bQO08AACAEAtbWLrlunHXdKGzuLi4cxFZnO57aJE1\nK/ImMTy1bR/eq2s7k6Ub0zlRepcyrXnPAKQnzSH1q6tmefq8PT/ADGOABGhfdW5xeix1Lkk8+7dc\nt/MAAMDYMJwW8Wob/ikFQ4TOnm0aKhQOEVt6+GFdunRJvu9JkvxaVZc8T0uvvNKzmDSHhW1Lahhz\n8z5efFH1X/s1SVL9/vultTUV/t2/C8p88MFdy0xzUnsAFkhz6oWw7DN/ekSeJ1UqdZVK+8MH3xXe\n7pXkypWrytVVeZ505kx8hxCL+Xktzc3p0srKzrnL93RpZUVLc3MtQ6RbzlMnf0OR56liXVPf/Nr4\nzlMAAADALkjiTboe8wZtzxHkGV32jSLnCLr8B/3PZZfmirzjWHG3m0bi88wZzYarWM7OzGjpkUdU\n+MqX+yrzzBltXzy77oyC93tv+Gh48ezOqFKp23nxDGA0SdZZXcoufmh+O7H11EP3SzoraSt8UpjY\nOvrzmvpv37EqsTXqPKwXH35Yi+Wy3GIp+Au3rMXFRV28ejXduWoBAAAw2UbtyseWg2EWuwzXinWO\noAlbabXr6oaLi4PvK+058bqsVBwp7XkcgbRkab7TQaU4L98wRjp3NZ2LOs5TbY/HheG09m+ZbucB\nAIDUMJwW8dtlBdS3bv2yvAP/TJWrq3KLezR0b7CsrMg7or5WNxyk56KUbu/Fhogemx3DrsNj7bVS\nMZBbQ6yImglN9ffFK1e0HvYuXl9f18UrV6yst4fuydx2ruo4T0m5OFcBAAAgm0jiJcT3fR06dEi+\n7/d+chq6zBv0f/8/f6bf+sAvaqrs6GSxrsg5gk7+Ru+57NIcFpag3eexe0fSAfn+2/3PY2fLxXPE\nRWtHciIiUYtW1tcDGE3k96Tecutfu6ZD//bfyv/yl7PxPcnoDzB9zcP6/n/Vcu6q1aSzn92r2h81\nv1Zp+aPfVeHzn20tYIRzFfVAPvG5ghgAMQBiAEnEgGOCIQIYkeM4M5LuSNKdO3c0MzPT8rjv+yqX\ny/I8T67rRu0iFbVakISp1+uanZ0NE3iugsTTXkm+3GJJ6/v2qfCVr+jfX3tFv/d7vy/f35Bb3KOT\nxXowR1AWLkYT0PJ+zszIr1W1837ukVRRqTClO3fvqlAoqFDYJfEZcfHs+0GS0POCC9RuzxubprK2\nPvCApqcLqlSCid5J4PVmaz2AmIXfk6W5OV2+dj2oL90ZnXzomP7jN7+p8ttvZycGLlwIegw2fa9r\nteAHiDNn2uqvtbUgqXX6dPLH2U23z+L9/0oX/8t/kT7zGemTn5SUXP0aVQ9sbGxo3759jafsM8Zs\nxFIYYpPVdh6SQwyAGAAxgCTaefTES0ipVNLt27dVKpXSPpQWfa2AWtvU9Ds/UPmXjungwf9rpzfY\nxkZ2J/nuZ1XehrW14Pl92O798c2vdem5qP5XN7Sx92JjwY5HHtFseAHTWLCDBF5vttYDiNkuK6L+\nH3Nz9sZAVL3426d19i/mW+rFYlE6+4trKn6+rV6cn7cygRfZk/kv/iJI4H3qU9KLL0rq7DU5rh9I\nqAfyic8VxACIARADSCQGRp1Ujy3bEx5Xq8Z4XjBpdzBZeclIe8LJvvcYqWTc4rSpVGrG83aeLwW3\nxphsLkgRccwdr6vL8wbZ9+LiYusk8IuL2Xy/msS5YAcslOfFGcasr/rU3dtSn1plnPVi0vp9LefO\nGeM4ZvHo0VQX7GBhC/u3rLbzAABAuljYIg/G1AtsGH3NG/Twgy3zBnX0BsviPHZ9zF01VC+Mtr+5\nePFia++PixetnD+ql7Es2AE75XVxhgT01bPZ3+h/TsykjateTEO/PZk/+Ukt/Zt/o0t/+ZcdvSaX\n5ubsfo0AAACYOMyJF5Nec6W0SHOus27zG/2v39WZV/61/v0H/qedeYOKe3Tyf7hXF//+7+2/YBvW\nLnNXXbx5c/DXHfH+Rn62jbJtmz+qi7NngyROv5aXg79BRrXVPVtb9Z35D6cK2UnkJKyvOUbdstbX\n13vPiZmmuOtFC9n2WTEnnv0GaucBAACEYm/njdqVj23IYRZtQ30qlZqRgtuox2MTNcTo1bVgiNGr\na63Hsv9g8LwsDJ0aweLCQvTw0IWFWPbfdShihrQMEyxO9zXsGhkXfu8XFxZSHWaYVeOuV8ZtLMdv\n0VDt5WUTvq7+tuXlsR2KMYbhtFnYBm7nAQAAmPjbeak3ivKyDdW4S+siuTkpt7pqKvsPtiQQ25N6\nHX+TA5mfu2pQcV08r66axXI5+uK+XM5NfCAw9kSURUmdWGU0ATr2etGiOfdsOweQxLN/I4kHAACG\nQRLP0q1X465arZpTp06ZatuVQGq9NRoXmT/902HPqp2LzOqBHzPLH30j2xfRPaTRC6NbDCQijovn\nnC/YkYRUY6BPiSY3LErqxKZHL+vqtWvm1NSUqV67luZRRkqkXkyrF/oukj4PR9UDJPHs34Zt52Fy\nEAMgBkAMIIl2XuqNorxsvRp3nucZScbzPGt6APR14RLRU6arDCX50vgMmmMgFaNcPEc81vH3vfaB\n9GOgD4knuC1M6gytj6TkdgwcOGDda0qsXrSpp2IKxxJVD5DEs38bpJ2HyUQMgBgAMYAk2nmsTpuQ\nQqGg5eVlFQqFVFcwbFll9Np1Ra4yeu36ziqjP9u5UmXkSrq9Vqq0aEVeqc9VeR861rIq76iaYyAV\nTStPLh0/rtnZWUnS7Oyslo4f332hgsiVHgstty1lZGml4gSlHgN9OHMmWISlUqnLdWcU1At7w0f3\nSnLlujOqVOryvOD5IxklLm3Tx4qo2zHwla9Y9z1JrF6cn9fS3JwuraykuyJs0wItF69caV1J/MqV\nsa0inoV6AIPjcwUxAGIAxAASiYFRs4Bs/f1C2yzNnnhD9bJp613SMdytn54ytg6bs6lHSELiGjqW\nhwU7sLskhxlmfSGIbXmY529M9aItvdCNMdadk+iJZ/82SDsPAACggeG0lm7DNu6Sn4tnyIuopguZ\nluFug1zg2DZszrbjGSOrLp6TkodkSpoSSHDnMi4tSw4NbIz1olUrwlpWP5DEs38jiQcAAIZBEs/S\nbajGXcq9wAZOIIYrk24vhFGcHnxFUlt6vmX9QntAVl08J2XCPuNYJZTgzm1cZvUHgjF/Z3KZtI0J\nSTz7N5J4AABgGCTxLN0GbtylfZE3RDJtcXExOum3uDhQ0VYMm7OsF8a4TezFc9rfsyxKMPmZ67i0\n5QeLQSRYL1pxHrAISTz7N5J4AABgGCTxLN0Gatyl3UNogMRGXBfZub5Yb2d5gnDiLp6zmExJU0rx\nm8e4zONr2jZKnPCd7EASz/6NJB4AABgGSTxLt16Nu1qtZm7cuGFqtVq6SZ4BE4jLH30jluFuuR02\nF6Xre1wz16+HMdDleUkd26RdPNuSTGmpB+JgecK4bzmKy94/WBRNsThl7t71s/2DxbA/RtE7NrIe\nIIln/zZQOw8TiRgAMQBiAEm081JvFOVl69W48zzPSDJey9VNCga86K+eu7BzQVqcju5BV5ymJ167\nyAvVphhIMYE3KRfPNsZc7PVA2r1645CzuOz9g4UXnsC93P1g0fOzy0O8xiCqHiCJZ/+WmXYeUkMM\ngBgAMYAk2nkFITGHDx/u74kXLkhray131WrS2bPBbcvzXnwxuN3teVKwvwsXpNOnpfn5loeKxeBv\nisW2v5mfV7Fg5N5Y09Q3v6aTxbqkqqTGzmuSqjpZrGvqm1+Te2NNxc9fUJRiUXJdaWqqoJMPHQv3\n44eP+sF+HjqmqamCXDfiWLJmfl566SXpxAktHT+u2dnZ8AFH//tjj0knTgSPt30WY7O21lFmoVBo\nuW0+5vb4y6IXXpDKZWl6uiDf31AQZ3fDR+9K8uX7G5qeLqhcDp6fhL7rgX5EfGb1er3lNuqzt0YO\n4/LMGcnzpEqlLtedkeRK2hs+ulfSHkmO1tfr8rzg+ZnVpZ6bnZ3V0vHjnXF361ZHHBYK0vJycNux\n31u3Bj+mfs+f0s55MYX9xloPwBp8riAGQAyAGMDYY2DULCBbf7/QDqTf3grnzhnjOMHtbs8bpVfD\n6qox+/YF2+qqWVxcNKXSu4xkTKn0rmBRi7bn9PPa8jBsrh+2DOPMzbDLAdjYE29ssvq9ynlcWvP9\nHzOrXue4evuNuRchPfHs32Jt5wEAgInBcFpLt9gbd/0OUzp3brxD0SISdO+84xspuO32nJFek60J\nhz7lPnmUwcSLVUmGMZmE15gpWU2s9snqem5c55oxnsNI4tm/kcQDAADDIIln6TaWxl2/F4HjvFhs\nJGyaymjpiddcxm4JmwmaCyn3i3hk7bPMcTLF6kTKJJuAHyysr+fG9b0f035J4tm/kcQDAADDIIln\n6Tauxl2/vWuS6IWzU0Y5LKPcfxkZ7L01rIlIrGQlSZGV4xyS9YmUSZS1JPeQslDPjeu8OI79ksSz\nfyOJBwAAhkESz9ItzsZdvxdHGxs1s7FhzMbG+C6iUr9QizP5l0IiMddDHG3v4TYByZTUv5/olPE6\naxg21XPj+k6M+7tGEs/+jSQeAAAYBqvTToB+V9WcmSloZkaamRnf6pupr/B55EjHqpT1uvT888Ht\ntsYql0eOJLOvfqyt6eLNm1pcWJDrliVJrlvW4sKCLt68mYmVNnc1P6+luTldWlmR73uSJN/3dGll\nRUtzc+mvhJrESpgpm7hVn7NgwBXAdfp0930lXWcNw7J6blznrNTPhQAAAIBET7y4NvX4hdbzPHPw\n4EHjtXQBikZPvDZxDolManhlZDlNMUDvr4k0SD0wENt7RWLbwDFg85BwC48tCz3xomKAnnj2b3G2\n85BPxACIARADSKKdl3qjKC9bP407SQN/oWOdE2/EoVmpDpmKM0kx7oRH12GcbTGQ0UQe87ANb9h6\nYFcWJlLQ3VAxYGOSNgPD1W2dEy8qBkji2b+Nq52H/CAGQAyAGEAS7bzUG0V52Xo17ur1url9+7ap\n1+sdj3UV9+q0o1x0WXARGecF2VgTkl2Spc89Vzf/9b+2xUAGF/GgJ97whqoHdpOBRApaDRsDNs07\nZ4wZ/3x9o+7f4tVpo2KAJF4s7bADkh5ru+8BSeclPSHpiV7399h//O085AoxAGIAxACSaOel3ujK\ny9arcTewfnvXnDs3WC+cYXrtpNjTJ86EUarJp4xMUD8o6xILkyancYXA2Ossm+Mnhh+dYj9njfFc\nSBJv5DbYvZK+Kmmt7f7Xm/69JunIbvf3KIOFLQAAwMBI4lm6xdq46/fi5dw5YxwnuN3teV0SeX31\nJEi5p0+cQzdTHQaaxx5TFvTOBPJs7HWW7fVSDD86GRPTaxrze0USL5Z22GPNSTxJT0r646b/Pyvp\n5bD33cvt9/exf5J4AABgYKxOOwn6XVWzUJA+85mWO/tafXOQVUVTXuHzzBnJ86RKpS7XnZHkStob\nPrpXkivXnVGlUpfnBc9PYl8Da7w/TStN1sPlJRu32ytMtr3fVmo61otXrmh9fV2StL6+rotXrnS8\nVgCDG3udZXu91HR8S8ePa3Z2VpI0OzurpePHo49rXOesCVjtOgectv//nKTvNf3/e5Lui7j/++H9\nAAAA9hs1C8hm6S+0EcOktraM+fSnx7ua7ThlZk683eSh95rtvXeAHBprnWVjvdR0Dtt57eXwtZdb\nX3sOhorTEy+Wdtjjau2J97Kk803/f0DSD7vd38f+7WrnAQCATKAnHvpz5EhHT6gXXpB+53ekmZmC\nfH9Dki/pbvjoXUm+fH9D09MFlcvB862xtqaLN29qcWFBrluWJLluWYsLC7p482Znj68LFzruq9Wk\ns2el2p9H7KtQ7L6vOA3SC9JW9EgBkjVo/TcoC+ul2s8ekf+Rj2rrlVVdvnZdUknSVPjolKSSLl+7\nrq1XVuV/5KOq/eyRxI8R1vth2/8PKOiB1+3+vt29e1eVSkW+73ds1Wp1+9/dNB7f7vHaplaryfd9\n1Wq1yMeNMZRBGZRBGZRBGZRhWRmNfTa2SqWy3WaI1ahZQLb+fqGtVqvm1KlTpppk97a2nlAbG8F8\nQu+842erJ17c8yIdOLSzr6uvBfu6+lr3fcWgWjVmc7NqnnrqaVMq7bHjvbd5UvucSqUewHgN+D2q\nnjs3WAyMcTEFm1eaTnUO0zGLqgfoiRdLO6x9Trz2ue8+LukL3e7vY/8zTZ9R1+3kyZNGkjl48GDX\nGDh8+LCRZG7cuBH5+PLyspFkTp06Ffn47du3KcPSMrrV71l7HZQxXBnN9XuWXwdljFbGwsJCZD2Q\ntddBGYOX0dhnj42FLWzZeiXxPM8zkozXMt6wScSFoDFdLgYHSah0GSb1sz/xE2EQWb6qaJwrFEYk\n7LwDh/rb14iCC1IvfM89Oy5IGRabuJ71ALJnwO+R9+qr/cfAmL+jNifKthOMV18zrkrhOWo2PJZZ\nI5WMq5KpXH3Nrh+d+hBVD5DEi6Ud1jKcNrzvjaZ/vyzpPbvd32P/2+28N99802xubhrP87a3jY0N\nI8ncvXt3+77dYsDzPFOr1SIfr1arxvO8rsn+er1OGRaW0YiBqLKy9DooY/gymuv3LL8Oyhi+jN3q\ngSy9DsoYroxqtbodAxsbG2Zzc9NsbGyYt956iySejVuvJF61WjXLy8vde190uQjruGAb4mKt21xK\nP/sTP2HP/EfdjNpbrDmJWZjqeK3Va6uJ9Dxr9MT71Kees6cnnjFj7eWDTj3rAWTTAN+jgWJgzL1l\nbe6J12znR6fp8Nimt89hWRQVAyTxRm6D3StpTdI/Snpv0/33SzqvYAXa3+x1f48yRmvnIfeIARAD\nIAaQRDsv9YZXXrZejbu+RCRMWi4GB0io9Htx9s47vpGCobbdjiEVMV68praIRUaOx8pJ7YGsyfj3\nqK96KcEh+HnuiReFJJ79WyztPAAAMHFI4lm6xda4a0qiLS4u7lwMFqfNYrnc94XgoMOkPv3p6GNI\nzYjDyKztYTLqhf6Yhl1bl1gEbNNHAiuz36N+66UEh+DbPNR3HEji2b+RxAMAAMMgiWfpFmvjbnXV\nLJbL0ReDi4t97aLfJNbGRs18+tPGbG11HkPqCxmMMNTTygvAOIauxjjs2tpEJ2CjXRJYGxsZ/h4N\nWi8lNAS/ei2Ys7Ry9bWm97WtJ567N+iJd+CQqV6zu6djLyTx7N9I4gEAgGGQxLN0i6Nx15JUKU7H\ndjGY2d4hxgzdc826BFWcPVhiGnZtZaITsFmXBFZmv0fD1ktJDB1u6vm4cw4rh+9jufUcZsOPTiMi\niWf/RhIPAAAMgySepVscjbuxJFVsn6cpgSFqViQx455LKoZh19YlOoEsiKhTS6V3macffrRp7raM\nfI9GqJcSq1fTPIclOAcgSTz7N5J4AABgGCTxLN16Ne5qtZq5ceNG1yWOjRlDT7wsrDw67iFqFiUx\n+4mBgcQw7LrBikTnBIg9BpCK3Vb87vU9GksMJJRsSjzxn/Y5bExzAEbFAEk8+7c42nnIN2IAxACI\nASTRzku9UZSXrVfjzvM8I8l4LS3/LuJIziQ4AfnIxjVELe0LwDYDxcAuxpXstSHRmXdxxQCS11cC\nSyXz9MOPmlLpXV2/R2OJgYTq+0SH4NtyDhvDeSQqBkji2b/F2s5DLhEDIAZADCCJdl7qjaK8bP00\n7g4fPtz7Cx3T6rRJDgOKRdxD1Gy5AGzSdwz0EOuFtGWJzryLKwaQvEG/d92+R2OLgQS+y4n2xLPp\nHBb1Q0dhyiwePdrynvZ7fFExQBLP/i22dh5yixgAMQBiAEm081JvFOVli2WulJgWLMiqUYaodbDp\nAjBmsfXEszDRCdhqkATWxkZK36MEe9WObQi+pXV319d79Oj2c0apP0ni2b8xJx4AABhG3O28gmCH\ntTXpxAnppZek+fntuwuFws7t/Hzw+IkTwfNzoFaTfF/a2qrr8rXrkkqS3PBRV1JJ/9/fv6WnH35U\npdLe4F63rMWFBV28ebP7+3D6dMv7KEnFonT2bHDbYn4+eH5SLlzoOO5aLTi2Wq3tuWtrwfObFIuS\n60pT3/yaThbrkqqS/PBRX1JVJ0/+hqamCnLdiNfbcOtWRLxJy8vB7bZG3N26NfBLBfJi+3s3VdDJ\nh44p8nv30DFNTRU0NZXS92h+Xktzc7q0siLf94Ij8z1dWlnR0txcR504tLU1Xbx5U4sLC3LdsqQ+\n6+V+HDnScY6r16Xnnw9um49BJ04Ezx+Tfs5Pl//yr7X1yqp8X/L9eni89dZjbKtnAQAAgKGNmgVk\ni+kX2ojeB8Z06YGQsZ5ju4lriFqmxNEDLq5h1wAGY+EckokOc01iCL4lw/wHPT85zu8MHQ/0xLN/\nG7mdBwAAJhLDaS3daNwNJxND1MZhlIvUCR92DaTGkuRSu8QWnEhyCL4FydJ+z09PP/xo+Fh56KHF\nJPHs32jnAQCAYTCcdpJFDMOUugzFjBiGaaNMDFEbh6ah0UvHj2t2dlaSNDs7q6Xjx7sPwZrQYddA\n6iK+ey3fOym1796ZM5LnSZVKXa47o2Co597w0b2SXLnujCqVujwveP5QkhyCn9TQ4F3sfn4KTri/\n+eCD+v3V1cZfhLfhUNtr17W1VZfvR0yVAAAAAAyBJF6WRMwVJEXMF5TAXEGx62OOJWvmtIvLMBep\nERfRUsSFdFaTm4CtLJ5DcpAfQ3adJ7OXBOYa7Wseut2SYyPOORop4vxUKDwnydcXXvlT+f6Ggvf5\nbvgHdyX58v0NTU8XVC5LL7zQ7zsAAAAA7GLUrnxs/Q2z8DzPHDx4cPTlpvM4lNLSIWpxa8TA5qaX\n3PxVabN0pcm0xFYPIB4pxOdYY8CCIaijGnlocNxDfrucnzY2gvq5cvU146o0UD0eFQMMp7V/S6yd\nhx4e+rQAACAASURBVMwiBkAMgBhAEu281BtFedn6adxJiucLnadFDZKcYylljRj49Ke9ZOavssEE\nfb79iLUewOhSiM+xxUBOfgyJZZGOuN6LPuNj8ejRsFFW6mtOvKgYIIln/5ZoOw+ZRAyAGAAxgCTa\neQynTUipVNLt27dVKpVG31k4XGvpkUd06dKlnaGYtaoueZ6WXnll9DKSYvEQtbg1YmB5uZTM/FU2\niJgjrB6O+27cdpvnL49irQcwuhTicywxYPF8fYOKZWjwsHOOtuvn/LS2pot/8zdaPHpUbiE4mPap\nINpRD+QTnyuIARADIAaQRAw4Jvh1ESNyHGdG0h1JunPnjmZmZsZSTq0WzH1Xr9c1OzMjv1ZVkAS6\nqyAB5Mt1y1pfX1ehUFChMML8Rxi7pePHdWllRcG8T76Cz7IaXABeuZLuwcUpTDIszc3p8rXr8v0N\nue6MTj50LLjQnYAEHiyW9fi8cCGYA7XpGGu1YB62M2fazgFra0FyyvZ5RGP4TMZev7YlT7e26pqe\nLqhSqWtqqjBQAnhjY0P79u1r/HefMWZj9ANEnJJq5wEAgHyJu51HEi8mSTXuzp4NFrHo1/Jy8Dew\nUNYTBwOamITlKPKYjMkI4tMiIyTHWn7omp0Ne6qP4YeuiGPwfalcDlYKdt3uz4tCEs9+JPEAAMAw\nSOJZip54GEiMPThsltgFdV7EnBjA7ohPC434HUjsh66YE+4k8exHEg8AAAwj7nYec+Kl7cKFjjlz\narXgoqJWa3vu2pqKn78QzBf0za/pZLGuyPmCTv7G7vMFIV05mr+qlxdeCC6+p6cL8v0NBTF6N3z0\nriRfvr+h6emCyuXg+RONOQQTRXxaaMR5Us+cUTJzjp4+3fH9KxaDc3fHeXd+nh6zAAAAiAVJvLQd\nOdKRqKnXg54EjWt2STsX7keObP/74tWrWlxclOuWJUlusaTFclkXH3444ReBgUzQYh6JXVDnSVyT\n8qMn4tNCgyTHbt0KzoltPvMZqVQaYWEMAAAAwFIk8RJSq9X0zDPPqNbevW7QnjdSy0X8xYsXtb6+\nLkla39jQxatXM997K6+2Y+C3f3tienDEstJkjnStB9rNz2tpbk6XVlZ2Vp/2PV1aWdHS3Jx9CbwB\nexTrwoXEDm03acRn3zGA3nb7EWz1ui7evKnFhQW5xWB1MLdY2nXV2KQQA/nE5wpiAMQAiAEkEQPM\niReTXnOl+L6vcrksz/Pkbk/q06SfRQ6kyF44HfMFMdzOSj1jIM8mbBGPbnrFQGbnaMv6XH4JxudE\n1wPj0G1+0f2HNPXyH0mStn711zX9zg+smXM0KgaYE89+I7fzkHvEAIgBEANIop03MT3xHMc54DjO\nY233PeA4znnHcZ5wHOeJXvePolAoaHl5eWfOs3b99LyJGIYZ7LttKGYOhmHmUc8YyKumC+aLV67s\n9BxdXw9W/czB3H/96hUDmZ2jLctz+SUcnxNbD4xL+/DzMLEye+eOln73d6UTJ1T4ylck2TPnKDGQ\nT3yuIAZADIAYQBIxMBE98RzHuVfSZyXtN8bMN93/ujHm/eG/1ySdNsbc6nZ/jzKGWrUssz1vmg2z\nSp8U68p+sFTWe2glLPP1QdZ6XBKfubF0/LguraxIKilIfruSqlpcWND/+SdXxnNuiXGFWnri2Y/V\naQEAwDDoiTcEY8z3Jb3UfJ/jOE9K+m7TXdclfTLsefe99vvHdWyZ7XnTbJjFOYb5G2TPBC3iEYfM\nzyGYtbn8ho3PjM4BmDe1WpB03dqq6/K16woSeI3MqyuppMvXrqtaretTn4rYwahzjnIeAwAAQMIm\noieeJDmO87ikJxs98RzH+aKkHxpjPhn+/zEFybrXJb1tjPlE0999otEzb5f9T25PPKn7vES7zUE0\nzN8AkyBjPdpyU4/1ix58Vjh7NkiY9Wt5OfibWMV0HqMnnv3oiQcAAIZBT7z43CPJafr/O5Luk/Tu\ntue9Hd7ft7t376pSqcj3/Y6teu6c/GvX5PtB75piMejx8eKLBT35oQcV9LzxFPS68RTV86ZWq8n3\n/a4rnhhjtsvrpvF4vaW7wI6By2ifl2h2VpKvffv2aXFhIfIipnb//fK//GXVPvKRpr+RZmdntXT8\nuMxHPiL/y1+W/8EPJvc6KIMy0i4jvOiv/dEf6T9+9at6++23JXXO0WZWV615HWfP+iqX6116FK9L\nuivf/6fIHsXWfx5RZUTMqRaU7Wtrayv4g8hEn2WvI+NlfOITvjY3a6pU6nLdGQWJ473hM/ZIKqlU\n2qtKpS7PC4a4xv46PvhB+V/+ctu5b+c85ofnsfoDD7Tss7FVKpXtNgMAAADQkzFmIjZJj0taa/r/\nZUnn2x5/vdv9fex/RpLptT398MNGkjm4f79p8DxjJGO8A4fM4sKCkRwjyRRVMItHjxpzzz3GrK5u\nP395edlIMqdOnTJRbt++HZRx8GDk48YYc/jwYSPJ3LhxI/LxYcsIjl9GKhnp8PbrXlxY6FrGv3zP\ne5r+xoS3Mr/2wQ+m9joogzJSKWN1dfv73ijj5MlTQf3gmZbn3X7Xu6x6Hdev3zCVSs247t7wO7yn\n5ftcKJRMpVIznmdMtTpcGdZ95uHntbiwYEql6db6rq3etvp15KCM1nOPMVLRSDLT5XIir6Oz/CDu\n3z0721JGY589thljQbuJrXs7786dO5ExAQAA0O7OnTuxtvNSbxQltUl6rC2J94Skl5v+/3FJX+h2\nfx/7327cvfnmm2Zzc9N4nre9VSoVc/36dbO1tWW8V1813oED2xd4lauvGSm4NcaY9T97xUieubty\nLfjUmy7sjTGmWq0az/NMtflKuEm9Xt8ut5vG47VaLfLxQcqoVoMEQ+cFvGekaSMVjevubbmAr1aN\n2dysmvX1iimV9rRd9Af/L5X2mPX1itnY8EyXw4j1dUQ6fz74vJrKqFaNWV7eSURsl3HtmjHnz3ct\no1KpmBs3bkQe69hfB2VYUUatVtuOgcgyzp/v+J5vbVVb4m27jNdeM95nPmPde9UtmfLMhz8cWxlJ\nvI5+y9h5vcWwzit2/eGiUQ98/etfjyzH2thtistGGZubnnnuuVpn3by6aqrnziX7OpqSqcE5yJhS\naY859cgjLefakcqI4Pt1s7HhmfX1SkTyuvU8VqnUwnNfdbs9UKlUzObmptnY2DBvvfUWSTzLt15J\nvOb6HZOJGAAxAGIAUTFAEm/4xldLT7zwvjea/v2ypPfsdn+P/e/auPM8z0jauWhpXHQcPWrc8GLX\ndfeaxYUF4x04FNnzJqpnhw2Wl0140dLftrw83N+kIuJ93+45OeDn0xEDmDi5j4GIZEqjXrO1/hpG\n9x8uzHbypv2Hi4ZMxkCM9eC4j61SqQU/ilVqYz+mYc9jUTEQd+OObSztyMHaeZg4xACIARADSKKd\nl3qjKIlN0r2S1iT9o6T3Nt1/v6Tzkp6V9Ju97u9RRs/G3eHDh1s+zG7Db5758KORPW/M6mpkT6+0\nDXNBO8pFcOJiukiMigFMllzHQIrJlKSN8iNEZmPAxs835eTisOexqBggiWf/Nkw7D5OFGAAxAGIA\nSbTzUm8U5WXrd66UQRr9m5vGnDmTnWSeMd0Tk1FDy0b5m8RNSA8jYCg299Qag0z9CBEn2+rBtmG+\nxnROd7BtzOfNUc9jJPHs35gTDwAADCPudt4kr06bihdekMpldVnF8a4kX76/oenpgvbsCZ7fsnBe\nY8XDI0cSP/ae1tZ08eZNLS4syHXLkiS3WNLiwoIu3rwpra2pVpPOnpW2F/tr/M3Ro3ILxeBv3HLL\n31hhfl5Lc3O6tLIi3/ckSb7v6dLKipbm5lpW3QUmzq1bHatPFwrS8nJwu62xquutW8kfY4yKRcl1\npampgk4+dEzBquKNlVZ9Ra0qngvD1oMXLnTU5R3ngoa1teD5/Th9uqPMYjHYb8d7Pj8fPL9fgxzz\niy/q4tpa67nPxvMYAAAAsm/ULCDbYL/Q9tWDozhtKpWaWV+3YLhSv7oNtdp/MLgvfNx7dW2nd07j\nb86dM+aee3YW+LDo9Wa+x41FPVWA3LGtZ9qYjFwPZrGnZr/HfO6cMY4T3JrhhxnTE8/+rd92HgAA\nQDOG01q6DdO46zr8xnWzdVG428XOq2s7j62umsr+g8EFztXXWhJ4ZnXVyou6zCzA0U0WL56BLLBx\njrgxiaUezOL71euY2xJ4xgxfv5LEs38jiQcAAIZBEs/SbeDG3S49OBZd1/454pr16u3V/FqL08Fr\nLUyZxaNHWy5sbOwhlvmeeMZk8+IZsNmEJcdjqwez2HNxt2Pes6clgWfM8Ocxknj2byTxAADAMEji\nWboN1LjrklRZX68FF0nF6Wwmi5q1JfaCXocFIz3fmZjMyDDOTCzA0U0WL54BW03wMPVR60Hr69GI\nz/aZDz9qpGUjlVuP+ejR2D5bknj2byTxAADAMFjYIqN839ehQ4fkX7sWLEzRNAl8IZz5fXa2ECx4\nUdvUbgtelMvBghdWO3JEtY/8mvxr17W1Vdfla9cllSU9Fz7BlVTS5VdWtfWrvy7/X76vc7Jwm0Qt\n2lEoavHo0ZaJy3ebrN0/dy6IAd9X4liYwwrb9UAaMYDBdVvcYPO0ave3Lajw9TWd3XOh54IKmY6B\nqHqwjwUcajXJ99V0LigpOAdI2+eC8Fzh+xH1Z5KOHJFOnFDtz9e2j/mL174u6aykqfBJ4TH/5V9r\n62feO/AxZzoG0BWfK4gBEAMgBpBEDJDES9Bbb70lfec7kas4njkjbW5KlUpdrjuj4CJhb/iMvZJc\nue6MKpW6PC94vtXm5/XCw3+l8i8da1qJd7PpCWFisrap6Xd+oPIvHbM3MdlYEfill3TxyhWtr69L\nktZXVnTxb/5GevbZ4PG1NdXr0vPPd1lR+L3vDWIgQZm6eJ4QSccARhAmdJqTU7t+x/tcNTyTMdCt\nHlxf18UrV4LzWtt71TDIquyp/0gVrqD8wi/f2j7mavWd8MF/Cm/DY5av6UceHOqYMxkD6InPFcQA\niAEQAxh7DIzalY+tv2EW9Xrd3L5929Tr9Y7H2lk/3KhP1WqwsEVl/0HjOGUjTTdNft66Eq+1Q4R7\nzX01wAq7g8RAXDK/MEfOpBEDGFHMc0pmMgZGnAMwi3OLVq+tGu/AIfP0w482nbtmYznmqBhgOK39\nW5ztPOQTMQBiAMQAkmjn0RMvIY7j6Gd+5mfkOM7uTxxyuNLIug0bOxs9NFQXLvTcZbEouQ8d07P/\n8/8oYzxJ1aZHfUlVnXz4QU1NFeS66hyGZoNbtyJ7Ti4vB7eNXhv63Oe09C/+hWYXFiRJs7OzWjp+\nvGXodN8xEKMzZyTPy1EPz4xLIwYwosZ3/MQJLR0/rtnZWUnR3/F+ZDIGetWDDY336tatlj8vFiXX\nlaamCjr50DEF54LGEIPwXPDQMavOBcUPzeu3PvCL+sIrf6adc1c8x5zJGEBPfK4gBkAMgBhAIjEw\nahaQrb9faPuS5iqiMa+22NLzomOhDmOkaePINZX9B4336poVPS9Gmaw+C70ns3CMgK0S+/7kedGM\nDCyws3uvwdnt89fTDz9qvAOHTPVaPMdMTzz7t1jaeQAAYOKwOq2l28iNu5iTaEOJMYk48DDOj74R\n/+sZ1ICfQfXaanaGiGXg4hmwTSrDQG04F4xDmj9SDWDgc9d0Z9J1GCTx7N9I4gEAgGEwnDavRhyu\nFIsYh42dOSN5r15XZf8hucU9ah3GKUl7doZxvnpdZ1751+MbKtyvptffOJZ6OHt947Z5cvcX/mo+\nG5O1jzAhPTDJUlmQYcB6KBMrS0ccb2NV9sZt1OtOw/YUBFdX5cpV67nrXZKkUmn/zhQEf9q5+AkA\nAAAwLiTxLFYsBhcUL7yQ4Kqh8/NampvTpZUV+b4nSfJ9T5dWVrQ0N9f3BWOxKLn/77c19fIf6eTD\nD6p1DqT/IMnbmU/ooWMq/vFXxpOYHNQAicxMzDeXoYtnwDapfcdjnocvdTb8SNWn7fn7/tt3dPLo\nz6v13LUl6ayeeuj+nbnwPpT+MQMAAGCCjNqVj62/YRbVatWcOnXKVLuNt+oylKhjGNWYhhyNbdiY\nzcM4d5l76pkPPzrQ/Ff9zJcVGQMRx9DVMPNf5Xl+rQzqWQ/AWnHNidcSAz2+n8xjmaIxnrui6gGG\n09q/jdzOw//P3tvFSJJc52Knfqd6uqe7ltsjzb24XnAJ2KseX6619PWQjSVES0OJvPJ2j3p2YRHy\n2NC2SIpTzSL9wCUBTY+Ko5mpqdkHP8g2uAvc++SHNZewSWnUzc7mNVYg/aalLnAxwH3g8MUvBghy\niXWjVN05WXX8EJlZkZmRmRGZkZmRWfEBgZ7pqs6MyDxx4pwvTpxTeWgZ0NAyoKFlQCMPO69wo6gq\nLc64M00TAQBNT1IjHxgEnSdvUIY5g4TzAA04Lqp6DiTf/S0LcTwm42s2V/mJTE5njykDjGfAJNmK\nflYaUsClBzTUg0RCxyMDjHk9mRAddHJSglybVUXGaxdLD2gST/0mxc7TqDS0DGhoGdDQMqCRh51X\nuFFUlcazQzsYDOJZeco56Pf7c4ex0cF+u50ZiSM9Eq8sydmp+yciMgWcvVAZ8F0jr+hLjfzBrQc0\n1IFkQicgA76/v3VrJn9DRYMfOaxdLD2gSTz1mzQ7T6Oy0DKgoWVAQ8uARh52XuFGUVVanHHHBedo\nlWFgv922X3LbdtbI//v9PvluhkcfpRzhKtMxTtsZ29vesSPwEAE68UTmoURnj/pOXtGXGhoaMchr\nM4KK9Gs2VxAAsdG4gLVaW0fi5Y2C1i5N4qnfpNh5GhoaGhoaGgsHXZ22wpi++BI8/eMbcGYivDWt\nA0ATAM7Zn54DgCa89da/hbO/M+DpH9+A6Ysvye/E8TH89Y9/DP1r16DVagMAQKvVhv61a/DXP/4x\nf+GDb30rkHS90QD49rfJTw/+4A/I94uCXczjf/3b74NlOZUnLfAmNH8KANa8GEcLoPEfJCZrt7/z\nta0tuLC8DAAAF5aX4WtbW+VKYK+hUSXkVZCBKihkWacAADCdTgDRhFg95NenKuDhw8BaMZ0S/R8o\n0nR8TL6vCr71LfIeqf6HFpn6gz8AeOkltfqvoaGhoaGhoaFRbaRlAXWTt0ObSV46Eaiew04yeI4Q\nk4g8kiNvb3sn0/H3+312BKQTfZkGZYqM1NDgRcnlmkcH1aDlRgg3mytqFAWKQ1nSKYShgP7rSDz1\nmww7T0NDQ0NDQ2PxoCPxKozbtwFME+D0kQEtaAFACwBW7U9XAaAFLWjB6SMDTJN8XxqOjwG+8AVP\n1EndDjVxfrrRJl/4An9EnsK4exeg3QbodOrw9OkYSJSLE4n3T/b/JwAAYFkfwvpL/6f08U+nAE+f\nApydzeCtt/4tkOjLlv1pC9zoy7MZPH3KiGLhxUsvBfo9mwHcuUN+unDk4KUMojw1NGSj5HLNo4MQ\nTLCsDwEA4Fvf+v/gr3/wA/X1MGOtmNkvxPnJWnOUQdn7r6GhoaGhoaGhUVloEk8hNBoArRbAuXYN\nNmpTYB2j2nj+P4Fzr3xO/jGqvI6NKQSXND2dQau1DIQ0O29/eh4AWtBsrgEAwHhsk6aSiUweJ/7p\n0zF0OnVot8n3E0E7pRpVRMnlmkcHtVrLcHJCxrK/XyMflWFDherj1/7oj+DChQsAAHDhwgX42h/9\nkbLvxEXZ+6+hoaGhoaGhoVFJaBIvJ8xmM/j7v//7uWPJwHQK8PTwR3D23/538B/rJAeePyrrP/4/\n/2/6qCwWisphV2DuJJc0PVeHr/zh7wOLNP3zP7wKgwHAuXPUc0hIZLJkwOPEN5aA6cQ3luD0dJY+\n+lI7pYWDRw9oCKJkck3LAI8O+sof/j4sLdVhMCDfdVGGDRUq19/TpyYAADx9asL//Dd/A1/7nd9R\n5p2EIq7/vtx5AHzrl9YD1YR+rxpaBjS0DGhoGdDIRQbSnsfVjS9XimmaCABoehLqeDG48aTYnHhF\nQIXcSVRlSJKXCrHVOi8991SkDHgqEvty4rXbUsctpfqwSihRXjQePaCRDGWRa48MUBXJ/dVpA/nv\nFMzpFwaeXH8qV9jl7v+jIzS7F0mlchs86xdLD+iceOo3GXaeRrWhZUBDy4BGaWWgRP6U6sjDzivc\nKKpK4zHuLl++HD6hDQOt7rNoHhz7HIcLtuNwgTgOjQ6erq2jeXCsnOOTGEUW1Mjx3qEyQN2j3+97\nicR+X0ofyu5UR0IFIpgTsXpAQwhllGuPDBgG4soKabZcnpwQHXRyQukg33dUR+FFmlJCuP+dkdAa\nwtIDmsRTv6W28zQqDy0DGYBBLIRCAWJBy4BGaWWgRP6U6sjDzivcKKpKizPuYuFbpOZRJW3bUWjP\no0oUWKSkI6doONY9VYgCpK8dcAIl9KHsTnUsFqyysgZB6eW6oiReGclVGsL9P0y/fmkST/2W2s7T\nqA5kRqzo6JdoMOw35vPRdp6GRnpofyozaBJP0SbVuCuC0FIAuR+HU8FwYvSBSSSm7EPZnWouLOi8\nWWSUXq4repyWRlmOOYeBt/9px6lJPPWbJvE0XMjcBFZhQ1l1BFIS+J7PIj+bJFDB/9FQF9qfygSa\nxFO0STPuFowBL70TLgqOhdP9/2E2C2fZneooVHlsGtEo+7sve/8DGI0Qh8OAIVir3cO97R3vOqaq\nkxBjyFqHhrT1S5N46jdN4ml4INNeXzDbPxGoZ+B5PvrZiEMTxxoxqJxNqgA0iadok2LcLaBSLf1x\nOFEU/Y4ruLuycESwRhAlletKy+5wiFirkZ84d0pdXefoOJvoU+4dcTjVg85I2vqlSTz1mybxNALg\nWXt4o57s1An9jY1SrWO5wiBF4FqNDnk+jY704m8LgyKJ45LlOVwUVNomVQCaxFO0STHuFjC8eSEV\nRlELZ0V3eheOCNbwosRyXVnZZRB0zmaF5934iD5lwLnZYh0aaHYv4umjIx2JtwBNk3gaLMRGrAhs\n3vZbLR39EoF+v89+Pv1+0V0rJ4raANV5DpWEdJtUFllbEX5Ek3iKNqWNuzjhpz+3hb+IybFQobt5\nL5xFRwBmiIUkgjUISi7XlZVd/5ryzDO4t72D9fq9oK4bDtUxuJx+8xiM9PdGI50TbwGa0naeRq5I\nWvyGtdlkWYjmwTGerq3bEWYVWQckobLrZBhyJiwK872S5jmsCKGjIqTPNVlkbcltfQeaxFO0xRl3\npmni+vp6MeWm44Q/Imoi7yqtZTsOJwK/DOS6cBax6BVwT9WJ4EL1QBVRQmMuTAZUl900KM3Ykhqc\ngusXSwY0iad+U9rO08gV4RErJgKs2z/nvx8MMFRPXHnhHbnRLxVD2SLWY/VAnN1Cry+23SLbJ1OG\nGKXGwJ3nsASEThXWgii7LdTORgza2knJWtZ1S3TqJg87r3CjqCqNx7gDgOImdJzwh+QvymVylGxi\nJoUjA+OxWfzCmQfyXmhLQAQXrgc0CgdTBkogu6JQxkkQhajBmWD9YsmAJvHUb8rbeYsKGZs5gtew\nhg9D9Jtpz+EGU7+xHeM69raul09X5gTPWhIWqdjoKPN8YvUAj21sGIgrK6T5Ca6Qa4hAKWLUSJDn\nUHG/sfC1IK1OZNmk0MT+5ibiM8+geXAc9OWovws89yRkLQuitnKBG/152HmFG0VVaXHG3Ww2w8eP\nH+NsNgt8lhvihJ9RSTBzR7IEOyqyMJvN8ObNxwgwU2PhzAN5LbSKL+gOlNADGoUiIAMlkV1RKOUk\niILX4Ey4frH0gCbx1G+lsPNURlYOlQw7MsU1vMTcDAEabsSKM0beDY3e1nUEqKO0qOUSRquHwiZ7\nmNFBChW34NIDPOu+TeJl4ZOptMmWOM+hwpufha8FaXRimGw+OnK5gtO1da+8hl3L1ycZRWmETnYU\nyDHkYecVbhRVpZUlV0qc8Od+7KlKBgYHVFo4c0PWC+0CEcEaFUOFZbf0uo7H4JS4fmkST/0m1c5b\nMNsHEbPVdzI2Q5Jcg8O+Ed3QuPLCO/JspaqsMVT/+v2+9/n0++r3nwUO2cnDJysi3YUs+6A0qTqK\nQAp9FqovHLuofm5uF3HOvzRFaVLJi0Ib5ZrEU7SpTOLFC38bm81V/PDDp9hsriJAu1zOloOSGcWL\ntPhkOtaSvXcNDRdJZTfvv0uJMuq6vKsgahJP/SbVzqsKuSKKLB0qGRuGItfgHIt1aMQ7oI0Onq6t\no3lwjJaVzXNRwYlNBEb/AmMI+Z7qKPx4dUHRbGki9ZXfIFTJJxF9vzF9D7WLQiLqZL2rpPLi9v2Q\n8Rzq53KP2tQknqJNZRJPVPhFlKlSKJNRrHAYuCwov9BqaJQVSXVdETqyRLquSJ2lSTz1m3Q7r+zk\nSlJkqBNkbBhwXSOhLg29dquVrV4ukR4OgEEsMJ8PYik2auPXmTv5+GQF6p80eQ6VT9WhmC+aVidy\n2UUZvyvuPlAbIYje567CZrIm8RRtKpN4CxOJh1gOo7gMfZQA5RdaDY0yI6keyVP/lEzXFamzNImn\nfsvEziszuZICMh0qGeS78DWGD8WjbcLe9caGW8CA+1oJoIITKwuR1TEVh3hgxR35PpkqRJMhnuew\nFAECoraP5Og90Wd0dhZ+r8HVnyS2i7IoShOpx3zPdTwmz/3DD58qISuaxFO0qUzi0VAuJ14WUNko\nVmXhzAGlWGg1NMqMpLouDx1ZQl1XZBVETeLlbrOtJfibTOy8SthdHMjKJpBBvmdO4Be0oaHtMPVQ\naKETByoc+aRkPmmeQ6V1p4idJdleEtVn+/vh9+JOBxClQxKQtYmfKfWdev1etnpdEJrEU7TFGXeW\nZWGv10Mr7xWSVtS2YO9t72Ctdi8o/K+/jri0pCb5JQgVFbtlWdj71KfQOjz0/b76+dtUfB9FoDA9\noKEMZMtA0rmV+ZyU7ST4rhcZiZFWd8oyOEPAkgFN4mVuo3UBYGa3KQB81P79ZwFgBABfAoAvvgkY\nagAAIABJREFUxVxDzM6LmANnZ4tHrmRFlBUSiRfyPpj6vcANDX0iIn+IrPE8UUVV8MkCYMi6cJ5D\nmc9HeiQckYG97W1+O0si0c+lz6CJp4+O0DTnEWtx9xLNiee/VqqiNALPZz6v2nY/nU3Z/NbZPOy8\nwg2rqrQ44840TQQANAMJHDKGI9TDoSvcjvHgEf7XXye/eP11RFT/2BMLqu84JpIBFXbL0qLKhogg\nCtMDeaIKMpshZMhAUl2nuo6MhG8NisyJlEavyDI4I8CSAU3iZW6jfRMAVhm/f5/69zEAvBRxDTE7\nL4K8cSIfFolcyUP/5JYTLwRM/V7gmlhqnV9ScK/xUbbxyorniHUZfbJIpM1zKDuyVSLRblmI4zGR\ngWZzSWzOZeAvheqzzU3xe9kbnOSkAoddJIOsDfnc/34sC9E8OMbTtfXQkxSkdezftYXXBhHkYecV\nblhVpfHs0A4Gg2IicIZDxFqN/MT5BHKF3/n89dcDRJ+qx55YUH3HMZEMlPBImgcFHSFRFYXqgbxQ\ndpnNGDJkIKmuU11HxoKSmUyqE8oyOGPAkgFN4mVuoz0BgLcA4LPU774MAN+l/v8GALwbcQ1xOy9k\nDRyPiQN3+ugIWzlHCKiATCKBZTjAKa+h8hqvT0TkAy4ZiLKNDSNA4i2CDcWd5zArG1OSv0LsLAsB\nBvZPMTtL6jyN0Wf9zU3+eyWxv2QVpeHYCBG1b2u1e5kGk+Rh5xVuWFWlZZUrRQpGIzcSj57I9fo9\n3NveQVxacgk+ZxKVMXKmsjuOZSXCNJmzuCirzJYECxmJ50B0J1gEBVZB1CRe5jbaG3ak3QwARvbv\n3gaAB9R3XqMj8xjXSGbnyXSkqoAsovPj1pzd3fjiEfTJldGoWuuWPhGhDuJsY2cdor5XRp8sM2QZ\n2Ro2TwSKz1iHBpr33xSyszKxzWRuIPmuleYkRFZFaXif4YcfPnWfQ2yfJcuaJvEUbUqTeDZi2f0y\nHoML6fOVF95BZjLYjY2COpoSZTTAyihPGvJQRpktIZTNiZcREuVkSYGsDE4/NImXm6121Sby1gDg\nXYfQsz/7LAB8EPG3rp33i1/8AieTCZqmGWhPnz51/+0gON8aCAD41U99iqkn97a30ex2Azl0Hcxm\ns8A9/HA+n06nzM8ty0LTNEMjhjK5h89hmkwsBDDx5OSU+TnXPQ4PA8+KdjJnsxmaBwdoLi+HRjeZ\nBwdodrs4vXePeSLFHcfhIXP9Kvx92PaW/x6WhTi48QSt7rM2GWThyff/DgEsJjlZ+DgW4R6Ubezc\n4+zMYq4zs6MjNO/fV3McFb1Hb2uLbWO0WuR9uLp+rh9cGAaa3S6aBwc4nU5D7aze1pZnHN4oshkC\nmHZDZtvfT64TSSqH+Hs4n//lX06ZOYlv37ZwMmG8D9ufK/Kde5+76a63/WvXGMdwLTQPDtDqdoM2\npGHgzH6fzj1Y791dP374Q0+/nTaZTHA8HuMvf/lLTeKp2FQl8YTY/YNjd6F3oHzkFMvgOzhGAMTe\n1vW5UdzoYL/VCuyklAlldbo1FheVllkVSOqkRGnJCFaudSyjqrF5QZN4udprxzaZ95aPxOOOxItq\nN2/eRADA9fX1CLmtIQBgA+rM5OKDwYA4e+fOMefj48eP3XuE4fLlywgA+N577zE/d+/R6zE/l34P\nhr327/894x6+78Xe4+rVwDhoXeyOY22N2IC7u4jojda7/Bu/Qe5B2Yj0NQLj8Onzwt+H/cwuP/ec\n5x6OPWweHJN73Lhhy2mPadc/fvvt8smVvoe+R8p7ODbGrVt/ac+PGtPG+MeVrnuPsEhddw6++SbT\nzrrywgvoEHn++5+eTrHZ7FDrCcNXN9PpxLOzud6d2+dBXmBjg9zj3/27/N9HqnvQ9m39HAKQe+y8\n/LJbbdd7DHcwfx8MO93ViWtriMg+WXS5XveMw7lmTCuOxAOA1Sxa2gEV1VQl8YRzIN14wgyZHY9t\nplwlAs8B3SfDwNO1dXeCuZNtbT0Qnl4GVOL4m8ZCYWFktujj4kmPLJfwqHPpc/lxQJN4udprbwHA\n80Aq0r5L/f6bAPCdiL8TisTb34+PcgCY5yh2il2UIvIryT0YGx9Pn85wf9/EycR3D4ookzqOkA2M\n3taWJ5Ii1T1CkPn78EUBISKe3h3N9bthoNXt4uRvD/D2bYu52TR78KD4ceh76HvkfI+5jWHZejks\nlx2JYPtX/9n/FroBapommYNUZBdtZ1nDIZp373oiv+gNg6+6FW0b9j2Dm9+ynlVo1OG1a+V850z7\nlkR6h3EYXPewI+3CNr6dSL15BLTikXhAjiNMJbefpR1QUU1VEi+RQ00Jea/3dXdit5vNzI4spYZh\nIK6sYL/V8uRK6m1dJ0axvQvpflcxJzUMi+C8alQLCyWzRRFiSQnEoonHhNCReLqlaUCOznap/9PE\n3RP69wDw0YjrCNl5ovbX2ZlON5EHUkeIy4rCziKam9LdnurajY669ruGRsEQ0dXEr2Ska3L0R5yd\n5Xxu56r3HN0/OJ5vMji+bKOTzSkJnhMZKpw44UXG9q2Mk0XK5MSzSbwZAPxUUvs1bUyVrcUZd9Pp\nFN97771QttlFhhNGSAANkjzc/10AIEnEFUR/Y4MxvjpeeeEdJZQNtwxQWJiopgVBEhkoGxZOZgWP\npkqRgaTrRJkMshDknRMvC7BkQJN4mdpnrwHABwAwsqPvVqnPrtq/fwMAvhhznWR23mjEKF7RRoAB\nKS5GQ9F5V3ZIXZcinMXTU0oG4pzFrJxO135n6ElF7fcqYRHsvCqD7SvXsbd1nU9/3H8Tzb/7oUcG\nAnYWTeTRRXSoU2P0qTLP38iwc3g3oCmi0YGyG7+jEUmV4ImyQ7x9mzSPTjcM8t2YtTbNupGHnZfG\nKJJOuAHAsexr5tXijDvTNBEAIsNKETHTRT3O0XSE1RXYRicgrLTAquB8i0ywyYQxkRFzM5pjZSDG\nwa50frEFAbceqAgWRWZFxmnevx+QgVIQaaoQgEaG1WlzAksPaBJP/ZbYzhsOEWs17G9uuvZXs7lK\n7LruxchI2UKhypyXAOkR4iFO8MnJKZGBgwO+dykxmttjDzc61d9AUxSLZudVCiG+MimWyK8/SCqF\nGBmg78WIunPzWcomy0R5Bh+Rp3QKFskcSpp1Iw87L40x827am+dxzbwaj3F3+fJlPqUu+4gW5/UG\nN57INXJygOgEK3L3IFYGopRPniHWGplBSA+UHYIRamVD0h068+AAL9frxMmzoezOJg0VjuJS1w6s\nY1nfWyJYekCTeOq3RHaezxE6fXSEAIgffviUyO+jo9CIh0SQSbypMOcdpBxXJhHijDWu2VzCj1y4\ngCar0qHAdZKslQuVykJhLJSdVyVE+MqWRfyw07V1LoJ8MuGTgagN4Mw2TJLo0jLZ81ltjAiuG3nY\neWmMGU3iCRh3wpA1YQSMMKv7LJoHx9WLxLNzJZ2cKLx74CBM+eQVYq2hIQOyNyIURCqHqazPp8h+\n+67NXMey7kOG0CSe+k3YzvPLomGg2b1okz2rc7tucxOxViNEXlrIJt5U0VUSxyUzQlxWfr3gde4g\nQN17nRjnXUfiaWgkhIB+6bdaqeZ8WVPOlOpkTQakY9Vy4q2lujHj79Nes8gmncRDSRMm6e6lUcKc\neGHPq9Uqx+6Bg6JCrDU0ZECl6I0MkdoQK9POJo2i+u1by0LXMaePCh/tY0GTeOo3YTuPYX/tbe8g\nwABJTjzKTtnclCezGZ3mKFxXyRiXhLHIcsKjo3sQATrz6xwco9V9lu9ZGzonnoaGEHh9ZcMgRRQ3\nNhLrjzJFzJaVcESUTDpKWgOVIfFS3xjgG0XdO6PxSCHxlJgwlCGUeXVahuJEjFCeYUZuxARLu2uS\nCVLkvytrThqNBUGF8ijxIqmxoMzOpuA7YxcRUnRHNg1ylGVN4qnfktp5hdh1kok3ZXRVmnFJIjdl\nOeHC17nxhPv5oKGr02poSIUk/SG8HgwfFmZTl4lwRMw2bYKMTbFSkHgA8CoAfAMAHgDAdxjtXQCY\nZnHvoposEq/wCRNyZGk8NvmqbaW8n4NA5E7UfUMm2MnJVN1jBYzxTCbo9rtsOx4aGgsLQadSiY2a\nkDFERU+K5oSphH7KMapUk3jqt6R2Xu52naQjmkrqKkxIKEqcy9zP5e6IRNBZ3r91nG/PdernfNdB\nBOhgDVp4urYeuA7vGD0OZ8mj3zU0CkNGtgCXLivwdIuqa0AYsi5ghJju2StN4gHASwDwAQDMOJom\n8RgodMIUpSjSGB4RfVZ+98DX91u3Zur3WUNDY44EO3SFb9QkHEsZCx9JgeyjiSHQJJ76rQyReDKP\naKqkq1I/w4yiaiOdcAGbOnhixHetOMjYENfQCMMCnrDwIIvxi2wA52SHREGZaOwISF9rJb931Um8\n922C7hgA3gaAhyHtbQCYybx30U0WiUcj9wlTpJJOegQgpM+3b5PINuV3Dygl3myuIABJeF2Dlrp9\n1tDQSLzpofTOZoRR6RQ+UrLfWUPy0UQWNImnfpNh52Vt18k8oqmSrlKJUHTBoxdinG/r0EBzuYun\n59ewVmsjQIcah7c4W+QzlpWaRkODhQKjwSqJJKRcDnZIXH8Lz4sqABVJR9VJvBkAvMX53Ycy7110\nizPuTNPE9fV1/pLjeU4YVXZYjGyS8aoykU3TxPXlZTQPDjy/D0t0rUKfNeRCWA9oqIuEepOWgcx1\nU4I+8vRJFZ2KiLmtXzLHzNIDmsRTv6W283Kw66IrlCIKH9G0UfScV4lQRMSINC6nRAYODgJEHuu9\nD1r31SMnNVKhsnaeAtFgZUGkDKQgRAvRw2V87wqQjnnYebINnJ8CwBc5v1vaSrQh44k17gCAT6nn\nPWEK3mGJNjpTGmcKTGQHrgx0u2T31R5zs7lqj/WCZ8w1aGKjtowkOm9F6R0PDT4I6QGNSsKVAdvJ\ny1Q3cep269BAs3sRTx8dxTvI9hE8FXSqyBiTrF9ZEQcsPaBJPPVbKjuvAEco6PBhMqdPITsKsXhC\nMUrnjMeUDNAnTEL6vNc854twDonEEyRdNYpDpe28InWBKgEnHDDv3w/IgNtXf6EKw0Br+DB0HNbw\n4eKl2UoDRUjHPOw82QbOawDwLud3r8q8d9EtzribzWb4+PFjnM1mgc88KGrCFCj0mR2TUGQiO3Bl\n4OgIB52R0Jhv3ZoV0mcNueDWAxqVxWw2w8dvv42zbjcf3cShB0X1kXMEr2idKjLGJP3Kam1i6QFN\n4qnfEtt5hoG4tIQ4HLq/cuy6/X3K6XLkdDhM5YDSefFCj2jW2nj66Mjj9IUevVxZQdzdRUQF5rwK\nhGIEmfD06VwG3PdwdxTufFNHZcmpjDqSAiToJSf1EdjSoOp2XmEkeokIpdnRET5eXcXZ0ZH7u6R9\nLTSVQImIU7cPishIHnZeFkbOQwC4zvG9Y9n3LrJJy4mnQF66vI2jTCLxFJrILDiRLzdf2aEM7AuB\nMZ+cEIN5Mim+zxoaGhJQhG6K0e10ZHCks+mLBlFJp2axfuV5hE+TeOq3xHbeaESIOV9uzP19xvwZ\nDgnhl2L+JC1CwyyCsLJCmt0fz3cce5Wa85naq4ptzMZB2PnujJSJdtTQoKHMcfYy6QBJfVXm2ZcB\nipOOZSDxXrVz4/0qok1BV6clUCwZbaHHFAyJOfEUn8iIrGfdCTxz1fqsoaGREgXpJl7dHvq9jQ01\ndSr1POd9d/KLtr1jTNGvrNdGTeKp31Jv1ubhgBoGowhNyBHN82toLpP0Hsz+7O56CDxE35yn+2vP\nrcyI/bw2PyTqZ27n+9ERmt2L4e9BJWJCYyGhVGEZFaJxecHTVwGd09/cLM5H10gNpUk8AHjDJvB4\nmibxEEMX5zzLwivB8lPjE6pOWzJEP2snEq+DN1/Z8Rh1pUEJyFMNjUWBsG4/LJFxbIOdz+8CpVPZ\njrIQcnAaNImnfpNy4iJrWfKtwYR8jjiiububrj8+os8hoG7dmoUSfTLGhZiRbZERWRi6CbC5GX+/\nkEhObVdp5AUl/EQKhefFFEBsX3l1znCIWKthf3OzNPaZhheqk3gf2ATdGwDwiYj2WQB4X+a9i26p\njDvGBPbsxGW8C1f4DkvB488TSY5XlGrcih9j1tBYJKTRN2WJBsl8/crp+I4m8dRvstKm5OaAchKG\nqfpDHbml7wOA2Nu6HqjQqpr+YEL2nI96D75ciYgMgs65H5UrUdtVGkWhKAJNNSJRal8PY3SOTeA5\nuqIs9pmGF6qTeL8GgDc4v/uazHsX3WQes8g7Eq1QxahAJGKecJ/1oyNsQRNZkXjN5mqoYi8FypSz\nQkOjwkh6nAuxPE4iW6f6IvGgGUjiz4UcNyU0iad+S2Pn5W5nxazDQhWp4/pjGNhvtXyOPSJAcx7x\np5jeiIWsiElZ9pC2qzRUQIFHWQsPOEHkjghO1NewZ7u56SHwEMtjn2l4oTqJ9zYAPJB5zbK0OOPO\nsizs9XpoRVlChsSccAmR+w6LYjkBs4RHBkYjRm6DNgIMcG97x/uHZRx3mXJW5AguPaBRaRQlA5G6\nvczH4Km+v3jpkj1GJxroPAIAvnjpEvmuaN8zei4sGdAknvotjZ2XqwPKQT7L6E90UTJEgA7Wau1A\nQZxCwTOn7e8EbbQ7CFD32sO+ee+RAdmbANquKgUqa+cVTCQrEYnHOafPHh3iV9odHP/gQKivkcfu\nfc+CpbNofVQaG66iyMPOk23gdIGz6iwAfEPmvYtuccadaZoIAGh6Vm6CTKqzJoE2EDKFRwYW4FmX\nKWdFXojSAxqLgUJkIO1xLvo6ihl/bkTRnSEVifeMrXOeQTcS785QmTyjLBnQJJ76TZqdl7UDykFU\neSJY6+cS9UeJyBhRxDjhloWkKMj5NcZpCUSAzvy5HByj1X3Wdy1bBu7fJ/kCqc8sC/H2bdICG9S7\nu1y6VdtV6qOSdp5iqXKKLsIYR2aa3a4rA3F9lbI2KPZ+NPKx82QbOGsA8CUA+A4A/HZEu7poOfEs\ny8LBYFD8Dm0YdKh+5nBl4PCwss9aiZ0yhRGlBzQWA7nLQJxu9+VaQSyX8afE+ikIlgxoEk/9lsbO\no6EaEZO0P5aFOJkgnpxMsdlcRVIF9wI13y4gQAcbjQt4cjLFyUSRNT9CJwrrkxtPPJcOs/MQk+tV\nbVeVC5W081SK1lchCCKmD9bhoUcPRPVVmg2j/XilkIedJ9vAeQIAU7Crz0Y0XZ2WQuGReJrBzw8V\nf9ZldKg1NCoLXn1T4qTJZYzEY0GTeOq3NHaeC8NAXFoKVBjc297BQWcUlE/FHeLSrvkh497b3pnn\nCkx7RFiSU53kGZcpmlpDgxtZE1UCZGXwuH101dmwvlqHhjySXgWCUyMUqpN4D22CbgYAP49ovwaA\nmcx7F90SGXe0srBLyO+1OggwQJIfDdGTJ81ZeGUvwirtsFQdFX/WesdYQ0MhiOib4ZCQC2Uz/rLM\niZcjNImnfktN4jlO3XCI+MwzeProyHXqXHK9e3E+17ImzyU4xO7x07V1rEELSTQeetf8+jnPmq+K\nzRMXgRj8PPidWEhwqrnsKl/xnsBmje1j0PdU5T1oaHAhjyAInuP2ocUJ0xcLkxGlrVqkdyUgyXdX\nncT7GAC8y/ldru+VpSUy7ujJa0dCmHdHCID20QTEZn2FTPrl7jxppcoOlYaGDb2QaARQcRK77FBm\nzgrIiXVooHn/TaHqtCrKnCbx1G+pSDy/7WaQCFLHqXMJtEdHHqIvLwIPMaFDTH1O9AeD8AJQ5rg+\nDyHWbK7gyfcNPFm9hADn2MRko8O9GSlTr0Ymvq9w2gQNjVT2Y4INTSnH7QcCfU1B+OsAiowhab1U\nmsRDYuRc5fzeNdn3LrIlNu4MA3FlhbThEE/X1hEA8cMPn5Kf/8cPifI4v5a9UaehIQs6pFuDhYof\nJy8jlDT+BORk0BkJG9Uqypwm8dRvqUg8lhN5SOR3b3vHu05ubnqcyEwgY0OFnjP2v3tb19255q75\nnQ75Bcdx/dA+SIKoEy7qqDvIRK/G2VW2jxD3uc6ZpbFwELU9Q+aS57i9THspZVS0qF67fVu9jUzl\nISFyXXkSj/vGAG8Ude+MxpOaxOtfu2bn4JhH4DXtHcBW/VxgN1NDQ0lknbNCo9zQ8qEUlM1pxZtP\n5t4DhlHti8RrdPD0/Bqay120Dg0lZU6TeOo3KTnxfFAm+jUJHCLQR8LdujULzq9OB7Hd9jrF9XOB\nCDKmY+1cQ4JzyRWJB20SiXcyxWZzBUMj8SLy4knXq5z6kDdPl95g1Vg4CNqe4sftE+puCZvbXJsG\nVPTwZCJ2fQ0bKfVnKUg8AHgVAL4BAA+AVKr1t3dhwQpbTKdTfO+993A6nXo/sI2goDIgufDmufGo\nkHmNUiJUBqoEHWkViYWQAR4ssCOhmgwoGYnngEdOqIii+TpK55S1jWp7w6y/sVG4zLFkQJN46rfE\ndp4PSs85UQis+f1Wi+30UnZtwLEOuYcMRB5N9XynjgB3go46g1h0ZMA0p9KT1Yc9Y+48Xfa99rZ3\nxMkHnQqDG6qt8RoUYmwK7iITds67QBS1fZ3pD3/ILwOS51aoXmu1yrF5zvM86A0k+3nkpY94yds8\n7DzZBs5LAPABzItbRLWFIvFM00QAQJOyaoKGXBu9EQQd3//b5THs/GBMSsSQSVdRA4AlA5WDNvQi\nsRAywIlSR6CEgUP+XRk4OFBO/lV8J9x94iD8VBkfSw9oEk/9lsTOY0HZ6NckiNF5Hjs3UO3VW5Sh\n1/u6Hflmz91+PzvnkmeDIMFmE0sGUuudmGcsKk/1+j1xUlFv0HJD23lqI2o+JtHNLELM7HaLkYEo\nnUWf+lN585xH11CnGCOjuCXpoyQbb3nYebINnPdtgu4YAN4GUq2W1d6GBatOa5omXr582fMy0+bm\nUNqw8yNkIjEnpkrKRCJYMqCxWFh0GahUBAoLHMaHaZp4+bnn0Ox21dJzCkVHCsvJYfgxGbp6ZiiJ\nkLPMsfSAJvHUb9x23v376Ykt2TIZtZF69SeeKopoGGgNH0rZfBO3c30Rb+02/8YgL3iO1fkcRM93\nIiq9Tia+uZ1D1W8efVmr3UvvX+hUGFxYdDtPRfDaFOPxFMdjxPE4RSVoRDQPDvByvU42a/MCx/wM\njYZWbfM8rY5mXCMNkpC7edh5sg2cGQC8xfndhzLvXXSLM+5YWKhIPETmhPJMOm0AaGhUGpWKQAlD\nGR0dxfosLCcdL0FBG9VlkTlN4qnfuO08GUdMZTtVcRup3Yue6DPz4JjZX1E9EO08LyNABxuNC3Ye\n6I79O5w7zLW2x2H29DlJ3jwZUR7ONSgij9knX0XYPPRqWJTR3vaOnA00hTZ7NDR4kcQO4Dluj6jI\naaMIvTaZFLBpJAMZRUsngawABNVJvJ8CwBc5v7sm895FtyQkHo0wZRFQHv2+8LWVAqVo+v3+fNI1\nOswdVw0Njeqg8pF4Dsrk6Ch4TEpITu6/6Y0iQgWinhJAk3jqNyE7TyCSoL+x4RY1c/SE1X0WBzee\nyHUMozZSHx15iKssCKegnetE3fE1h2BPlTdPVr4lmsgbjbzPEdEl8Kx7D9y/CxCBzn1k6VXOdSft\n8V5V0hJoaPAiaXR/KWw4xEi9dvs2v45VbfOcR9fkrY/S3E91Eu81AHiX87tXZd676JaKxKMXXseQ\na3Twxeeft5PUVozkMgzst9vVJCl1TjgNDS5U3REozfiS6qzPfz5QLf3sDPEznyE/PRgOyfcTQOZz\nVPmdaBJP/SZs53HkJ3LIotO1dQ8x5UbCHRwHrpfKDozaSG21ssuZxHgWzeYK9rauxx91t5PIW4e+\nPmedNy/BmFrQJJE6S0uIw2GgAMVgEDz+L8UW5I2mtqMHRd/xwmzAaVQesXaAYicT0qJsc5ergnhz\nBU9OplQF8ZzGlHKDXmkSD4mR8xAArnN871j2vYtsiUk8WhkwDLnTR0fo7u6VTHH4UZaIiFRQMKpF\nQ0M5lClSTQBlM5ZSwXdUDBFxPCa6bjyO/h43ZMqJ4jKnSTz1WxI7j6dSoGUh7v/JE2In/OmXiC3o\n2H5r62gdGiQqr/usV06Tkj8RG6kvPv+8fKKbwymO3diN+k6BG9xxR+5yIQB47c4Ux3vLkpZAQyMS\ncXaAL9clYsl9ON8mrWi17TT3QkwW5Zy2XgBTH139SfJxOZBA7paBxHvVzo33q4g2hQWrTsuEj8Bj\n5SEJy1eivOJgYGGMgIrt4mhoSEWF58fC6DgHPqfwww+fIgD5yfpcCDLlpAQyp0k89RuvncdF5jc6\nLpk/mRB9sP8nT9BaXsV+o+E5hdH7rY8TOzBlVF70RqqTh9lpF7z9Tbr5IEAw9QGwVT/njrvfbqN1\naMRv/lLP0tO3jE5GcL1faOLNV3aw2VwNEgWy9QzPOH3HfxHFyImF2qDSqCZ47AA7gpZGJqepZB3r\nj+sLg2fobV13bVBmZHhS8Oh6w4itKstTjKxZP48nq5fw5PsGFYlH1xAIRnEnRkgho/199jqGS0uh\nz1FpEg8A3rAJPJ6mSTx6Etv/9k9QT/i9M0FLegxzISLxHCge9aGhUQgqHqm6kI6OTdS9eOmS7fwj\nAnTwxUuXpBF4iCnkpCQyp0k89RuvnSdK5t+6NXOdyf7mJgYju5pSSGdZEQ5Cmw+CBNPp3dF8rIaB\ng84oed/SzH2JOabm77HAo/sSCU2V0xJoaDDBowsYZE3k9dL44ZIIr7BrBe7FyHdK61kpJB6jL2mr\nykbqGsfPdtfMuf3pRkPLsOkY5K7zHvb3ozdK/FCdxPvAJujeAIBPRLTPAsD7Mu9ddIsz7kzTxPX1\ndXklx1XLvSbSn+EQ+40Ge2KWPScehaDyIWPubW0V3TWNgiBdD5QNqumtDBFmfPS2tionA4TACxpR\nL166lOyCYXJy9SeeHVXLQnLMcPgweA1HfmTKnO9aodeJuRZLD2gST/3Ga+dNJiZXpNZ7Gs0hAAAg\nAElEQVTpoyPs9b6OjQaJ1mrUlrHmknb098m8ajQuYG/revBYrYMYWfdsMtTPoVAkXv1coEqsFN3t\nc/oCURmHBprdi3j66IhrY+Ts3pvegiCGQYqE/N6P0Ro+9DqMhoG4u8t29CKc7Ohqjyv2HD7Hfo5l\n38TRG9SxWHg7TzZkrOEJo1WZ9+HYROGSAcmEV+R9nCJK1LwFQOxtXQ9E6oVei/c92Pfrb2ykqyrL\n8520m8iCY8LdXe73kIedJ9vA+TUAvMH53ddk3rvoxmPcAYA8pa5adAFvf6jjVVWsThsdiUMc22Zz\nqRxG3AIRLnlBuh7QUBMRxofZ7VZCBs7OSO47coTWcfw/Yuu6j7i/+/DDpzgeM4pdJEGMwx/2PWmQ\ndH+WHtAknvotiZ0XlTNtnuNNrErrlRfeCdwbEYXssL4ra5w58RhRDaltTsZ3o5xmnggwVkEQ047u\n633y08xCHpERLHG5/FotX59M+/9m7HssXToFHtJBE3nazpONhP5u5CYb572Y0XEcMs4tA7LIrCjY\nvhy7OnjdG0Eb5csJvIegXhSsKitAcKaKxBORLQYRGvUe8rDzZBs4bwPAA5nXLEuLM+5msxk+fvwY\nZ7NZ4LPEUG1BjesPIz9SYFe05AZA9HGVGQI8tn+WwIhTjSiuADLRAxpqIUYPzo6O8PHqKs6Ojors\nZWp85jPRDqq/feYzkm5MPd/AGuP7PBNIuD9LD2gST/0mbOcxnC9PRVY3Gm7ZnicXEOA8kmiuZ+zf\nraE3108Hm82V8I1AATtMuDqt76hZ6pxSu7tuZEMs7Ki5frttR7+xiTi3T2vrrgPsFIyjjyZzHwGN\ncqAZTl2jcQH/+DNXsQkNrFQ6BW0PckPbeRkgTq/t7gYI+chNtqigg7A1XkC2Zw8e4OO33/bIQJge\nZKdQECC8IiA9xUvEe+DKZcdTVbbRwdO1dTQPjt3+MCO0l7t4en6NulfCnHgCXIrIe8jDzpNt4HSB\ns+osAHxD5r2Lbry5UqQjLUOfV382N5mhrUl3OVRF5XJiqUYUa2iojAVydAqJxHNgGF5nvnWepGLI\nMfJc9v01iad+E7LzQtZOJ/+drMbcCBSww9w1/dERM29SYK23ibzcqztGOdasCIlGB/ea57DXXMJm\nfQXnERri9hhPhWH/8+JxzJVBXkn2NTTSgINQp+U41Saff40XPS0WYwu6vuKjI7uIUULCK0Z/ZVJs\nLeQ9XHnhHalrG92fQAXbqz8Ru05cddoI2bK6zxJyUoJfrzqJtwYAXwKA7wDAb0e0q7BgOfGyhGpJ\nZqOOj/jBNBR8SSHLaiio9l4SQzWiWENDVcQ5Q/Tntv4qq36jIT0nXgz6/T5bt+aUkiGL+2sST/3G\nbedFOHCefGqBvHRLCNBGgCVsNBxC/Hykw3B2Jhjd4bPDXMeye9FzdMs9lsog3uIIKuuQFKRwoh9c\nZ/ruyHOdpA4xa/OXfXxrkNiBTVph2DS9z8mtMqyyzbRAm08a5QbvEUxPlHGCTbbQNV4kb3tEEISs\nIkNxBFxWgSXs91AnUeYR95JBTGY1rjDZEiUno4hQ1Um8JwAwBbv6bETT1WlTQrWIL2n9UcWYYDjj\niBH5WvzOdsWIr8oQkhoaRUIV/SYTWVSnZUDUqZa95mV9f03iqd+47TzOJOrznHhBR3FeQZBxBJQi\n4kSjO/x2GKtgDBoGWsOHnv56rs0kH+fXHo/tPnUvEhuIjmYRtYEYutB5lmdnrAITco4mizrZt2/b\n7/fQ57g/OkLHcQ8bjxLQpy40FIWQf3lwjDeb55EQ+G2v3my1Io/vZ+JXh/iCe9s7sQV7ZBFeDtL6\ncSLPp7d1HQHqkfeS5VdGXkek2FOaI8AVicR7aBN0MwD4eUT7NQDMZN676JY3iZdJiKwq/VHBmAi5\nB9fxXxX6LwGqEcUaGpVARfQDIgbynJKjteQn6/M0KHrNy/r+msRTv0mz8/wRIw7JVT/nRnM6kXC9\nrevevHWNBhEw+8QCTRJlKaNJIkduvrKT3kkL2VBN2id/CysSksj+KfsmTcU2nzWqAfF5ft/+6asM\nDc1Ahe009+HVn3FkFQ+ZlZrwMgzEpSUSHewjE+moac/3fcEpos/nygvvZFesg+5nivQOScaU5j2o\nTuJ9DADe5fwu1/fK0nQkXjbJMws1JhiGVmyS07IbcRSKdpo1NCoLFfRbWjAIOicCZzyO/l4S6Eg8\n3YpuUuw8ll1hV0+lc7xZy6s4uPEELYthd3zuc4i1GvY3NjzHNfe2d3C89s8QALHZXJVqF/LK/5//\n+depo8DsyAZZtim7T3QknpOr03Hml9GJFm40LmBv6zpa3Wdj9S23A80TgelA0XQJUWMt21g0qgEe\n3VMXrPAde/Q0JCqLd43n9ontwgt72zvZEV7OmmMTWvTGj+ufdi7MbTT7+9ahIR6N7StKEVVVNvVG\nNu+GeERBJp5iHHSUp9V9NpXdrjSJh8TIuSrze2VpccadZVnY6/XQyoBNkxKSKtH4yCVENi+E5VgI\nS3Ia8RzPznwyoLjhoxpRXAVkqQc0ygFHBva2t4vXb2nw+c8HiLmzM1KFNlDEYjgk35eEsufEY+kB\nFUk8AFjNohU9rhTPI52dxxPhz3ByWBuBYXnpSPSbpCi4EITZZi/Waggp8tBl0afg75piDqOgA13G\nNZ7X1js5Ic7vZEL9cQk2pPNGGWWgLAib53ufehnN7kVb7zlpPS4EZJjLX4lKdcC5xt++bSFADwEs\nbj2YCeHl/9ww0OxedNcT93p37M3W1193vx8VgBKaF5Uq9oMYcnqNY30THlfcdeIKMhkxlWcTnKDJ\nw85LY8xIJ+HKTOzFGXemaSIAoBmodZ0SkkNSU0eQpeyPksRRlEL3JzmNIPEmE58MKE7i0VCCUK0A\nMtMDGqWAZSGOx0QGms0lNfRbGWGUuzotSw8oSuLF5TdO0n5W9LhSPI90dh5Prt2IKqCeHHAh9pHj\nwDahgx//zX8uv7ACw8ZrNlfx5is79r3a6M875/1/O17HiW4q7+4G7U776HEfwI4aIc+A5Goi0Rf+\nMQWeSwLHLbM1PuJYcQCCtqXoqYtbt2bz+2gCLwBt52WEGP8ySCw5ZJ5AUYqwwA3BNd7x905OTsN9\nWd/x3kwIL5YutQsPBaL/NjbIxe3NWeEK5RsbiO22Z3PXski+0Nu3Gevb7m58cbfPf569FvjzuDrj\nuvqT0MAjHpKOt/Ixz3vIw85LY8xIPw6bxTXzajw7tIPBQO7OTAIDI9PrSeiPSkc4uUKrBXKiTCaU\nDJTJ+JFFFGtkowc0SgOi3ywk0SrxO7T6iDoDlO4MrDG+z1W9P0sPKEzizQDgp5LarwHgSdHjSvE8\n8rfzKIjnhhrgzRf+ZcAOs7rPukd1PYgjf0JsPNE+xW7+iWwqh0WqrK0TJ3E4xNO1dfcZWBbi4Ld/\ngNbyqjdqwu8A0g6r/Ux4HLfMZIAZ6RFSaE1Q//FsntegZR/RRmw2V7T9FwFt5yVAHHFPy7VhuCkI\nxuNpRDEfZ/OggzebS+4Rz1Aw5o6MNT6UPPJVCg/M54gNnbRH2kP79NxziCsrvk2aFbzywjsk9QB9\nNJV6D+7zYaRPSZVSKmWAEXcalKgjwLu7ARKP5z3kYeelMWY0iefte6458aRFzoVcV5iwkdQflSLx\nEhOKssnVIlGlsWhoFAyV9FspEdjpZKwxjO+V4f6KknjSCTcAOC56XCn6nq+d50NQf8RHvTXrK8TZ\n/ZsfufrEKZrBFY0W8bkj/+Nx9GanGx3YXMW97R15+Y5YERKMsQV+xxPhMhoFcilllhOOJ0KT7rdd\nYZOr0Jog+I8l65MYGhIR5UMeHAfywzlzen9f0E+78SS8D4x5GLnG88x5hYIgeAmtm64ed6r7Ev3d\n++SnQ9+D5/n4iLwiA4yS+PFZ5rFXicT7AAA+CvLypLwKAO+nHVBRLXfjLsMEuomOTmbQn6KPcCaK\nxHOgkOJOjKyIYg0NjcL1WynhW2dC1xjE9I51zvdXlMTTm7VF2nkRIPpjkMiBdZ2gu7Z88qzhHJEy\nYWlHbt78WjInLs6O2t0N9mn4MBBlaFlk7NbwoffaFCFW6AZlyL3ijtfFFlpL2I/+tWvYbBLyt9G4\ngLVaW8z+1dBIgjCy5i4VkWZ/zkwxEPDTLribB3RhAtEo1cAaz+vvqqRjMEkk9z3vc6wtk+O/1HMM\ntYGGQ1INN84HFnyW/Y0NIZ+aOxKP0mNZFvBRicSTnStlBhXOlZIpeHfxEEOFULkIEZVIsAjjNCrH\nQumd9ApUWtPQKBwiOUk2NxGXlhaHENc6xoUm8dRviey8LGTcto/2tnfcI46xlWAlVNaL6w8aJDm4\nm4fPLgDGjNbgdGAztaMUszMjj/LRnxu+nJxhhdZS3P/WrZkYQTxIOX4NDcTkc9IwsN9q+XRFGwEG\nJPrXd32ZcwUxwwIOoogsrhjl598Tm+9REY02uHS3QLBI8P2KrQUq+OQqkXg/z6AtlnEnCyK7eBJD\nTvMajyo7pDzVaZUjQzU0NIqFX18ZIdXBHh15kgYvBJGno31dKErirZXhmjk+D3E7T7aMh9hHPNVo\nM3Fi/P0ejfD00ZGHfArk4IvJ9ZTqFIQgVHDsXHDam6HVsXkS98fc18FkQmT05ETbshr5ItGctPOW\ncZF/MjYE4/zUhHnUUoNzvQkWASHRtjdf2WHM93luQYAm9rauh853Xh94PJ7i/j4hFv0bFHSePcsi\nx6lP19bTrQWKbNgoQ+LpJsG4kwmRXTwGlCGfVHLqEjxTpchQDQ0NNeDoCpugo51cV791L3qIvqqT\nVi5U2rQpECqSeGENAL7LQ8YBwBqQVClfAoCPFt1vCeNOZufJkvEo+6h70eugQBP7m5todZ8lTpCI\nU8WbUN2JNrGPiwX6FLaBHGPnZW1H8di7zeYK3ro1w8mE7zSLNISe/Khjr/f1bGz0mGhRpYhOjUoi\nlQ9alA2RlhjK6iRC3POwc9b1NzcD/ba6z2Lvk59GOpfpnMSL1zOiunt/n+rzygr2W615hHHrPF55\n4Z30a4FCNqYm8RRtccbddDrF9957D6fTaeAzaRCMGgtDoQu2KserEkY3Ri9EHQSoY7O5pHcvFxS5\n6AENNWEYiEtL+NVPfQobjXMIQHTE3vYODjojtA6N4PcrfHzUA0V2SfMCSw+UjMT7AABW7X+vhnzn\nJTtNigEAVwFgBADfKLrvKced3M6z57/fcRKa/xFH852/90T2jkY4uPFE2KmyDg0ctO57Krgyj8Qy\nok0QOVO50LaTL3rPshAnf3uMt9oPsVmXv6ksq2gZC0nX+PjowzvpndkkWDDdLAPazhOHzDmZZ+BH\nmL/81e3teBnIsu9h83ZzM7LoxOD3fpxKz/CSsR9++BQBSHVhp7/s47J17G1dT755keYZp+Qj8rDz\nCjeKqtLijDvTNBEA0AyUuIlAEgEK3cXjDLXPc8FWhbBjQUKewaBybyAAYG9rK7t+O1D52S4wEukB\njWyR41yZ6wRAABMrE9Eg4RkuUrQHSw+UjMSbAcA/gDev8XdpQg8A3re/9xL1uy+XmchLa+cFjzA1\n3X/LOFpL+oCe63EdR2p0PE6VS9gtd+dHnNbWPc6ee29GcYnI/jKIvP7m5jyPnm1vOikHelvXpesF\nHkez0SDRJycnU7dwB887SbrGiyedv8N8j1I3iBWKYCkTtJ0njsSReAX4Op6+1s8x+tq25yfgeGx6\nq0v77y86xwTGy15vgBB5NjzrhUFSH5h3R3i6to6N2rL9dxcS6Zkwm+7FS5dcfqHZXCEkHcdxWbIW\n1MXWgrDndfUngY0z69Agv6ffl3OCxn5vIiRrHnZe4UZRVRqPcXf58mUxpS7AIHuOTCQ9N573gl3w\nDkqmYJChzeYSfuTCBTS73ezHUuVnW2Ik0gMa2SLjuRI0ThsIULNJvIrkFkr4DJVJ45AzWHqgLCQe\nFWFHt5+DrzgZAPwaAKaMv39S1qO1Sey8eBknR4c+/PApkfE//TP+XEq7u4GjrFEObH9jg+1U1Wqe\nIgk3m6R/p4+OmEecPJu6jLkfutnJ0J9hjh7J8Yd4urZO7Ci6iIPETeWw+5OKrNR4l5bc6JWocZqm\niZefew7N+/eF+sGdB/DREfZa59nObNriFjS0DZkY2s5LB9U39PgIdxMBLiOASaLVouaJSPBMzLx0\n9cijI3tjJNqmOjuzddih77qGgb3f+rj9dx3ve2i1uDeY/GN68dIl37sVizC+8sI7cgKMePWbffQ4\nLHIx6r3mYecVbhRVpcUZd4nBSayJHpkIhNoXtWBXcadPlTGp0g8NDdWR4VxZmDyZCZ7hwjwbDpSI\nxHvLPk77Bvjy4tGRdjapxyLxvgcAD4oeR8KxC9t5wjLeuh8g8aTYYiynqtHBF2s1hsPcjPk8usJg\nurQjS0jnY2rWV3Bveyc8EjCN/cJ4JjUIqYC4uZmPjWxEnKahHFZPypzWeXLSRqZNp09zaBQBEUKr\nIAhvzPgJMgaEiMsIWyuxTeWf73Zw0JUX3sFmc8X7Hhh5UKP6Nx5P3ecRfF7LCNDBBpzHZn3FfnbL\n1Gd3sFk/j6dr66TCuoXewkmM+3EjymYdjeZF5obD8Gfhi9SLgybxFG2ZkXiIXEotdTWvIhfsEiht\nbqi2e1mlZ6uhkSUymisLFW0m+AwX6tnEoEQk3hM/eef7/C375wwAfsX4/CEdsVemlsTO43X4nMp/\ne9s78jcVopwqpr143v6341S14+cldQ/ZBcAABvZRKol2FPW3lkWOzQIgNpur4Xro0RGa3YvB/IOy\niEXq7wN5rVutALkbuL+MPlQVmpRUHyUMPGCTb97UAGF9FrV/3Kg5St96opTtHKtm9yKJxEtqU6V5\nD4zP9vdF9b0TnUfG1WsueSIEnVQLXGtB3LwPeY7+3IHO+hOISmRs7kRBk3iKtkxJPBRg6aN28ZKW\nn88BUeMr1UKroKGgemi6hoYqyHquSLl+SL5OJgrQkUnHuOh6qkQk3nHEZ2sA8L79b8/xWuo7DwFg\nVvQ4Eo49lZ23t72D3qp/nXAH6+AYre6z6TcVpDhV0Y1OMt9vt71HXxlHPIPOaxvneZcu2M+F/n9b\nbrVY3zMRjl7pjORvjDLek8d5ZhQRYW4QJ30molDQ1o2EahvseUP191XG98PYtKRJvDgbJkklV/p5\nxNlMiWyqNO9hNArkSLUsxFu3SBuPI8jKRgdPz69hr7lkFzNCNy/p6fk1ck37ntahwS+3HOMJe057\nn3rZJUSdvgTyA0KTbO5wbjJrEk/RlgWJJxylQIXspqlOmxd4x+fskE4m1B/rYwOR0BEuGhp8yG2u\nyIr0Y+g+kRxUWSD1MyxbxLBvzQhdLxC514wSkXjfA4DrjN+/ah+z/Zn9/xkAGIzvHQPAB0WPI+HY\nk9t5BqkiK+K0XXnhHXEnzA+GfXN2RhzC8XiK9dpdoT4B3Audz/1+n93fiA1k4kANhPrgzLXENhpj\n/k4miLduzezjUtH6i5CxEjccQnQ1z7HkUL2TNUpMupQp0ksaVH9fZfPDKELJNNEtDBS5MeOzfbjs\nJookciKoT06mXLkzze5F3NveEbOp0ryHFISZm2fPmBdRIlHR4ZHIou/KP+/jnmO9fk94XYqDMiQe\nAFxNe/MqtSxIvCS7g6G7eAouTqLju3VrRv5Q9lhUX9wSQOea0tDgQy5zRbbz4Pt+nLOXNVI9wzI6\nVnHPP+R7USgRifcx56gskAq1PwNSndYpcvEqkLx5M/AVsQCA5+3fv1/0OBKOPZmdJ+DwNZsreHIy\nxZOTKRehlIrAMQzcazkOTHh0oPdzctLDIaxSEfj2c9nb3nEdNudYcZQz69wzCxstNCpjeye7zZ6Q\n6OrQzZmiCQwHJdbdpdkwkokyvq+8IEJeDYek0I1hSLMfQ8kt+7imN9pP7H6ZvueQXHqDG09I/jr6\n3sMhYrvtLZTEIOhCj67yFNQIAzNqUqQ5m12+SDxBna8SiVdKIyyrVmgkni9Ph4OiHbs48IyvVmu7\nYazN5kp2C23FFjcdiaehwYfM50pWmwTU94vesEn8DMu8gRL2/Bmf86AsJB4Se+djAPBT8Fao/cDZ\n3AWA1yhC7xgAvgMAD+zvzADgS0WPIeG4xe28CBlnHb268i/+jRSnUKRf/X7fdapYfXrx0iUP4bG3\nvYODzsg91pSovyE2F6lKG19YIhMbLYLgEY2iHNx44rm00lFFaVBCUmyhUzeU8H3lAhFbhKpU7dg+\n4/HUjtxi5A+tn+PKQRf2Tvqbmz557bj+cZEbHqHP7eAYAQgZ546nfg77AIidjtdmuktIQOvQcI+u\nks2rOzgvcEEdub07SuyzBud92HO0i200LtibS3SxjQuev+1tXRfqi0ok3gwAvpO2A1VpccadaZq4\nvr6euOR45KJT1l08CmHjy3WhzXhxSysDSbHQBotiKEoGNPiQyVzx6WdHBvb3zfQOncGXgypPCD3D\nsh2h8cP//DmrRLL0QJlIPKcBQBcAPgEAL7E+o/79PYrsC82pp3pLZOexZPyQHK0NHHXa3ESrs4zm\nwTEhxOvnGE4akbWTEwYhzjs//PJJHWG6efNrc3mGJvYbDcSVFU9FQNcptDePTZNUDGy5BCAj31FI\nEYz5s5tf02ODQXNO4NnVAjOx0WI2cmknMzr9yymur67hZO0j5dycSIAy2Jh5bmyrbufl/r7Kss6n\nDObwPlfTXc9FctA59xyPp7F6lVTSpqOkqQ0PCpk/65AxROUH9OvDrE7EcAULBZ7jHbG++DZsHORh\n56UxZhyD7B8AYDVtR8reeIw7AEim1Ku+c0KNzynf3GyuUhMrvwiyLBe3UBnIcoGruuyUDKn0gEa2\nyGmuyJSBJDmoMkWSZ1gWA5+B0OcfQ6SyZKCMJJ5Is6P3PlF0P1KOIb2dJ+AoBiMw5k7ReDwNVNjD\n4TB+fjAIPHzmGTd6wnEcAeyE4sMh4soKmsvd+edOnx8dze+7soL9VotvPkQQm4HKr4+O5t9nRqVI\nsNEEI4Kj+uDKwMFBpU53+FG20x55pphR0c4r9H2VKeI+qR0Y+DsiA72trfC/i3guSYoPSbVXRe2y\n3V20us9ib+u6LzUCW8YmE8Tbt+fXcuXz0VHI5pUd0UhFGFoW4uDqTwKnEC2LEGvW8GGCSujk1F9v\n6zqerq0z+mKfDKyveApQsZ53HnZeGmPmiX1U4kf2EYlAouNFanHG3Ww2w8ePH+NsNgt8FomKHfMM\nwNf/W7dmuS20DvJa3EJlIKsFruqyU0Ik1gMa2SLHuZJWBpR1npI+wzIZ+Mj5/P2RRz6wZKAKJB6Q\nnHeBqLyqNCE7j4OoQqRk/f6b8y8aBskRtLKC/Y0NOxIDsVZr25ubxIkAIEeX6Ci12PlB94uaU7SD\nZt5/c35t+/vW8ioOWveZ0YPYbrs5jTxF1TgjU+N0gMfBC4v2S6PzEuTDCnPyZ0dHcxmIIwR8lRwj\n4d/AKHjzo2x5l/NcN1W08wp/XyXyR4SDOZhjm+E//uN/8OiBwNgi5vDZGYe81tp4+ujILf54ejqd\nE1h+YilhAIiIXUYKMaWXsbj8gE6f6OhtTz+dDamDY761w7bX6OeIiIjDIfZdm4w+govYa51nrqM0\n8rDz0hgzD6l/vwYAvwYAA6gkxjF/P0rbeZVanHGXCCVzboTB6PdkQsZ3cpKfg1r44oYof4Gruuxo\naMhCyeaKEvrKj7TPsEQGflbPv0wkHgCsAcDI3sz9le+zbwLAd4vuY0bj5rfzWHPCIceoOcEi9lwS\nb3cXERFP7wwpZ8brTNxsLvETeH6IpGLZ3cX+c8/5HJo2Agxwr3nOcx366G3U84jqB90HZXReAj0V\nSQgwvs9dabzgdUvZzSQOlOH4r2zk+r7C5rNNLnlI7UYH+xsb2a7vHIQ3VyRYQXl940gtOoravbez\nuWMYye/Noe+s7rNu+gdykq6D87xxF3z/7mCzuZIqPyC91gUiwu2IwNPza55+uukrPvVy5LwPvLfR\nCPH117EPYMsEidK7cuWQrNf+iHYOklQZEo95MYCH9hHbb3B8t7R5UULGI5/EK/ExIy7EjC+vhVYZ\nYyROeYko4KrLjoaGLJRsrnj0VSOkkmNMJJh0yHiGMvVfhpARicdCyUi8J0AVtGB8/hAA/qHofmYw\nbjE7Lwk57YuOM010IwS8x5PmCbZvts67UQeyER3J4DtaZM5zxwWcWGdsCfSnZ84xHew21uv33DxS\nifIExoF+V7a+80cLDgZk/LRjG6qjHZvSdxwr4EhGOeCKbH6UihQryTqTJTJ/XxHEFqk8mrOscBBt\niTcKsrYfWfLa6HhIrdBqsDaplUquY+bL4MYToed25YV3Yu8Vq8+Gw2Au4mvXSOR6o+FGrju/d9ej\nqHyrhhF8b9T9Tu+OvH1h9JcHSpN4SIwcp2rZzwDgiyHtLQCYyr53kS0TEi8teJSL8x2fcim8KEZB\nC23RxkjR988FJSNNNCqEKsmeQYoqMPVFwcUtkiIX/SdRBpLmxGOhLCSebb/NbCLvbRaJZ39vBgBf\nLLq/kseeuDotty1DyacKEWjCfaCq1mZBKkblCcw0Ao1xDJkeJ00KiDq2gxtPgtElvJXGiyalir6/\nCBQhPQtFXu/LtxnhbESQfGkFBErEvHvewjW5bo4KkFpZvtMouyx+U5MQbY3GBVLJNSR/nEhEY5jd\n+2Ktxvz9zSsvk+f26Ig8RydS3P4/T6Qzsy9hfxsB5Uk8JIbON6ld2rCmSbyswTMpDMPNvRL7vbwW\nt6IW2oKMEWUiAfOCgLKuvEGlkS+qIntU/xLloFIIues/mTJgJKtOy0KJSLwnAPAG/f+Q7/28atF4\nSe28pOS0MzfG46nt/NJHlT5i/3SOKa0GI9EkIHp+UtGAv/VxNJe7nmPB0jdIHBttc9MTbXHzlZ14\np0w2IuxUyyLH2U7X1uMj8Zz35dclApXGC9v8LRMpVpW1Pw3yfl/29VLnSpO18UzaiOYAACAASURB\nVMbp40mfT0kCagzDE2GH6Dsq64yR0oky+5zELmM/tyafjMU8o+gTKBfstdFpFzz9dIjEZnMV97Z3\n2JHi/n75+hMqb87fcq5nSpN4APCS75iFJvGKBo/SZpB4wruBGfUXMaeFtkBjRIXd9txRJuNPo1oo\nu+wx+hcYQ8j3VEQh+k+GDFDfkfH8S0TifeD7fxiJ9+tFtvNkktNJ5kgWEcZBJ63jdRhbrexsN/+c\ntaMpbr5CFdrwHY/KFKMRMwKmXr+He9s7800WTkJAtNJ44Zu/ZSPFqhSFnwQFvS8i/3VKV3CS2hn1\nPXY+ZhHMkSSgZjTy5LpD9OYVRGOebkE4jx8HhNecG0/cCuX0piY5Pm0TjxHPIwDffE1SZZbdBri3\nvVPYvFeGxAOAq77/j3wk3fs2qfcxX/sEkEIYs7SdV6nFGXeWZWGv10OriDAqHqUUFtkhsBsoBUUs\ntDktbmEyULgxVhSyWCwVR6F6QGOOAmUvtQwwdGRkqL/izkhh+i+NDPjWAtGjFiwZKBGJ9z4ArFL/\nD5B4APCqbQf+rOj+Sh47t50nk5x2IrtuNufHk/zRBi1o4umjI081V5k2jHPcjES9hfSh0cHTtXU3\nP5+0DZIIG81b7INK+J41QiNgLASo4d72tuuY+x1bR8dYh0Zi3Vf45u+ik2IRUNLOy/F98azpXlKv\nHh8xlmLjjdvGeHSEZveiG02cRn8FZID+29EoUPzHOjRw0LqP1vJqcIx3R8FrYEodEFLUiPnMePN6\n2tW2/VHJiarl+sZqWYjjMRlH8Eg2HYl3HgGe8f2eLq7Rzs2fzsPOS2PMvGX/vMqIvnuD4+/fTdt5\nlVqccWeaJgIAmgErPx9w7QYaETmWQnYDSwfWQjZ86AlZRqR2PIYPvX+fYnHjkYGFyIlHYdHGW7Qe\n0JijKNnLQgY8xniezpXke+X9ThLfL+VRC5YMlIjEew0AvkP9/4nvc4fAmzl2YlWaiJ0nlZx2HJrh\nEG/ahHMgCs5HPkuNMDZIdT8Rh/HKC+/I2yCh5ht9xLhWu4ekQq7vudbPhT9XCTorutgHkYFm/Rye\nnl9zjxiz3ofoM6Wd8IXd/C0BFt3OEyWXrrzwDp9u4N14SxnF5cyzNBshTBmgiP/Q4gt2Vdn+tWve\no/UM/ZlKBzBIsjAd2G+1wu2kLINgQojbmze/xuwPyYk3SKxTZSMPOy+NMTMDgF8xou+e5/z7L6Xt\nvEqNZ4d2MBjkujPDO8HH4ymOx8Qo4s7fUVYUeAQgVgYWJDJtkY3PIvSAxhwqyF7mMpCnjpN5r5z0\nn6oyUBYSD4m98z3b/vsOAHwAAN8AUvDiVwAwte3BDwBgrei+Sh53IjsvFTlNEXj4zDPuESsSjYDY\nqp/DPgD5PMOjYHTUmHPvsGhAcoSqnmy8MUgdgSZBZ0X3wbIdScvTB9Y9PMn0U1QaX7TNUNWx6HYe\nzxrbaBDdcXIydXNC8ugo3oAU/iguivinIpmdv0u6ISm6Frh5PU+nieZz7N+wNi8ODbcQkUc/OeOj\njvgy15SlJcTPfY5vU8QwSKSe89x4N1OcaOaNDc8JwRdrtQARiisruNc8h836iv0MiuUz8rDz0hgz\n/hx3sdF3VW5xxl0RkHeG3NtKn5MtRVj2QvUpIxR+DERjYbEwspenPpFxrxz7q6oMlInEQ2LzfBlI\n3jtWzuO3qkbg2WPOvjot428dAg8Nw3V0xmNqjgyHiLUa4nCYS1L2ve0dJERVm7pHHXuf/DSe3h2F\nk+MSHGUpJHxKfRPdB3Sdx5uv7Lh9iBzn7m7ySuMqbP7qo7UaIQjTR71PfnpOGmEw35sLw0Br+FB8\nzodFcb2yI1c/coDveDGZu43GRxBAML8djw6I2rywNxIA7OJAzprjy5cf0JPUukOPlUnE+XWRwGZK\nWCSgp6ARNc7TtXV571qyblORxHsCAC+l7UjZm4okno7Ei4AKho+vL0VEBxYBFSJhNBYTCyV7eeo4\nGURFTvpPVRkoG4nnNCC5jl+z2ycAoGv/frXIfmU0VjE7zzBItILt5DhO0Hg8JU7AoU+m/U4AVTzB\nL/f0HLEsRPP3/xBPm0sMG44cOfVEdB0SxziRIxIy15NWoEwz12VEOCbVj44eIY4ineNLUI9QYxWu\nNK7C5i9DRi0LcX+f8V6HQzIfSm7DanDCmWMbG96ckJubaEEDB7/3Y3deuHqAUXl1cONJIt3CnOPQ\nxBcvXQpGcWU4T7IIqPGPkUsHRBCb7vMAuzgQo+AlU1f7iDxmwY4E+svJAxtV4duJCB+v/TNPVXS3\nIMhyN/DuPYWPeAg6eiPNlss0a5ZqJF6l8tqlepAKkng0dE68IJQ5giB7F7NEu6LKvAMNOdCypxTy\nHKOs/HKIAjKTUt5UkoGyknhhDQCMovuQwZj47TxGFJ1j/DtHu9yjS77veRCSgJyWc+Ho0k6w8qGn\nz2GOSEqnS2ryeAmbFGnmv5SIXsZYuStdq7L5GyHnnnEwonY0Kow4csknD1F6IM3GG8/xVVZ/ZSLY\n/zZ6iy10EGDN/v8zSKLy6IIMy+wxJtEBDL0Jbl5PSgdubJDjtgNG1PShz5aiyHnPe/T3j5VL2I6+\nDGwK/Yt/k1i/ukVC/vTPEJGSrUdH8z6w1tywisC/92O0oBGU1ZCCI1FQicR7P+3NVW8A8FkgVXe/\nBDE5/JQm8QRDbQutTpsxVI3CkApVjLs4qBQNqSEHWvYKR546rnB9mkbeFJMB1Ug82/Z5kLC9a2/0\n/l7R4+AYZzZ2Hu2w2LLmOEWeo7CIqSOUogstIAJ0SCReTKEFEQIPMWSu7e5iv9HwOc5tBBjg3vaO\n51r9zU1s1c+Jz70UEWiydJYnn13LcbrRex1oBo4Pe5Cm0rhKG2Y+p9ghSADsnI0bGx7CRtWNPQ1J\n4NUVNpHX39zkXoN5iHeeOe5GcY0ZUVcy1v6Q+Ukilr8tRFAB3AmMMeoecXOLpEPwVwgO6sCTE6JX\nJxPfdVjPyA4C8hTj8HMHvr91ZILkUPW/Uzs9g6ieFrUJaSLPmB/FddYSl9S7O5rbizEFR6KgEol3\nNe3NVW80UQkAx1HHhpUl8XiMHUbYbCSbXmKomg9JOlIYubp/Gqmg+rtVvX8pkaeOU0KfJnmfCsqA\ngiTeT4Gd706kfbfocXCMMx87LyfSuL+56XOIEME+QhaZpDyuDzwO42iE+PrriADYf+459x612pA4\nQt2L7jX6GxtcznhYonPc3XV/JbJRlEUEHSEWvM8bALxHtzgR6oSrDvuZvHjpEvtZbGy4X1VyY09D\nHgTIpaC+ioiG5dShqea4LCKZRSbZhNBXXnmNKg7Ejlqu1dpu8Y9mcyX1OkETm/X6PaHnc+vWLHRM\nDvr9Pvs9+k/xURtaDkkYWmzEJumECiUlITZpufIRdDSpJ+PkhjIkXtUbkKTN36X+/wZEHB+OM+6m\n0ym+9957OJ1OA59lBh5GOoTEEzrXXiIUGTmSuwwoFmni75fy0VoZoBA9UAS07IUiaxlYqEg8ByLy\npqgMKEjifRPmRSoeUu1t+/fHvt/T7acA8D4oXvAsbzsv8+PbcUTK5ma2fXCOyL3+OuIzz7jJ0p02\n/gE5Snv6P/wZI2IwWI11MmHMy93dgL3KJBPtyArHIXe+c3YmQWcxoiz3tnewVruHAFNsNM7hV7e3\nA7mUqgqu/IBUVGIgErVitt7C2HkJkchuENh4U8EumU6n+N6bb+K022VGebn56BqdUH0sc3NRPC/f\nHWzUljGKREz8nA0Dr9T/Sqg/V154R44vERkhGSQKSZERQjTWoCUkS3nYeYUbUao221B9QP3/NYg4\nQhxn3JmmiQCAZiBGPkPw7pz6jB3m9xCDOxR5hfNndJ+88yEVIQMq5XxyodIxkJxRiB4oCFr22MhT\nBkqREy/v+/PKgJOwPW5dRBSWFZYMKEjifQwA3mL8fgQxx07t7x0DwG8XPY6YPmZu54k6OmdnyWQs\n+njnMgJ0sAEdbNZX7M+W5Tq1/uNJwyGa3YseRyxJBEgiJ5aTqBeKAuK4D3G6bRm4f59Z8KFqdg5d\nxIK3OXKgxMZeBlgkOy8JhCPlbjxJvPFWlF3iysDBAYl+brU8xT1IdBlVfMH5jCq+kChvaQji1yH6\naC05zhr3zJJGPJKovTrjnowNnbV1NA+O0bIknZhgkL1ORCDrWDHA3URj9MhAhnZergZTmRqQnC4j\n6v+fBYAPIr7vGne/+MUvcDKZoGmabhuPx7ixsYH/9E//5P4uDM7nYbs4lmWhaZpohVhas9ksn3sc\nHKDp7DK4150rVvceP/whc6Jxj+PgIFSBj8fUOBgTOvQe9ne/ur2NzeYSApihBoWs9zEej/Hy5cvM\n9yLznYcra9NWUg2mwa6MXFX4HqZpujJQ5nGE3YMtex1K9oLOoorj4L4HRQg595hMzFBHzbx/310L\nWH2ROg5b7/qj0/a2t9HsdtE6PEx/j6nXmJrfy8Jmcwn3nGgUn+6X9T4mExMnEyvEMCW6rtlcCiUn\nIu9hGGh1u2geHLjvw+84hK2DUfewLMuVgfF4jJPJBMfjMf7yl7+UatzJaACwxvjdMefffhkUL26R\nh503uPqTEIPftNvU8/v93/2/EQBxMqF0AcO28cwhw8BBZ8R9j3mz7M8tpiMiNE+Hw0B02sd/858j\nwIC6RxsBmnjzhX9p58JjrA+249bbuo7N5goCIDabS9jb2ppHtfjA1JvUM5vNZnhycooAZiCx/jwf\nl4nN5tI8gi7OXvW9k9lshuOxiQBj3Ni4PLdbKSKPfE71wXedMq75bEeeLVek3UGAlv05yZ3IIlSU\nXfM57lF1Oy/tPYR9lOHDwPxgEeLuenz/PvkFI0I/kS5J8KxoOy+YOqCBADX8r2rfnhf4uUv09+mj\nI5w9eIDmwQFO1j5CCj+E2JKx7+P+/YCdN486q9n9MO1+te3ns4q1WpvLdj87s3A8NnE8NkOKGTWw\nWT+HJyenOJmQyOqod+4l9erYb7Xw7NEh7u+beHZmBewvNAycvf46mradFvU+WPbqvOpxlL5CBJjZ\nn38bwwqOnJyc2nxEvnZe4UaUqg3IERLauOPeoY1qN2/eRADA9fX1UIG7fPkyAgC+9957zM8HgwEC\nAPZ6Pebnjx8/zu8ea2uhIc7uPXxHHxKNIySUemPDvsebb4bkP2Hcg7qWcw+A9VB2v1TvY309Ynfk\nsj3W9zy/dwx21cah71G+e7Blb2DLXS/w2WCg5ji478HQJevr615Dg/re5eeey28clN6l9bJ7j3Pn\nmHpZ+FkxdTM1DgYBIfN9sOSKtLlu9+s67nvcuEHGsbUVeI6IiI/ffnu+DnKOY97vyKYEicdqUXaQ\n73ujKEJMhZa5nbe25omQI6TUHSSVCJ31uE6OGn72X6PZvYjj//5LCIB469ZfurJndZ8NOHPuHFpe\nRhyNyH0CFRB/w75HBwE62Ghc8EXiObJYY27sJZmnwaOVTpGLHtJRf/PPm55n1792jRE9Qz7befll\nZh9C9aate/7kd3/X1QWt1nkS6RKojBmu05j38EX0Os/q/Pl1z7Ex+kitY68axv/l/dy+ThnXfDYh\n06TeOYkK/dK/ftXOfdVGckQN3HfMkj1l13x9D6n38M71y65csIjdwnxGjnHQcJ7Vj370XsgGI5kf\n9VqDmTogzL9m3SP2ffjsPCe67wsff2muExsd/C+ZEWdsn9Gxpdx7bG1hv9326ey5Xl9fWxP2S6+s\n/k+IKyu4/yfEBvvKV3pe4tZ+v64Ntrwc+z48z8ow0Oo+i72t6zZpCQhwJaSPQVuStHnBkaLsvMKN\nKFUbkEpl71L//yYAfCfi+5E7tE57+vRp5XZVwvIR9ba20Ox2SUSIjHHI2FUJ3T01mU43Gkbp3oeO\nxNP3KOoeCxeJh+jqitnREZqmaUd8sEP+cxmHHRlG6116B9O9x+Fh+ig5RpQ1uRfZoY3SuzLeR6aR\nePY9zIMDtLpdZr69mb0DLDIO5/k7TeVIPFYDgB9BTNVZAHgeAD4AgJ8V3d+YfmZn59ERmrb89z75\naVs2V2ydSMiMfr2OCCRnnXOsqlk/ZxN4XeaxqtnRUWgEwtwxdiIt5hFPXqfZwqhoqCT6P3i0Mi7K\n4S4CmNhoLGNv6zqerq0zojqi53KU3gw+C6rohDsGRAASUeKP1pgfhU2omym71Tn10WwuheSYKt+a\nT2N+PLlBvfM7jHfuRLaYgc+cjRal13x9Dzn3CPh0gtGwYffI4vRW1Dh8ME0T9/fFIqBv354TVAH/\nmnHUnvt90HaeMc/LN/mrB3jy/b9DABNP19Zx8rdkjTlZvUTp32jbnbaP0DCw3+97bKSvfvWr7joY\n3GQK+qVODr6T7xOCDYdDHK8+6+pmF74o68T6KrA2tJB9xHfm9jGs4IhjB+Zt5xVuRKncAOAJ9e93\nAeCjEd9NX51WgXxNSZFX3oHU9ynxM06CovNUaSwuFkr2QjYyMs/3w9Jnw4eBqB3LInllrOHDYL/T\n6DiF9GmW8paHLKuWEy+sAcAnbILuGwCw6vtsDUhxiA/ALopRdH85xpOdnUc7icMhnrrys+I6Ci/a\nXlxUtVahXEBhumhjA7HTCVSnrdXu4d72jvd6CeeqaI6k/f15kQMn/x1vi6p0Hb6RiSgzDyEvFmIt\nDBxPJu/pz/+bV0kk6p1heDGTPIofaaiFkEg5KcVOFLBLRHVQpnJvGNF5+eycc4MBya3ab7X49BXj\nHQXeI2KgGNE8J94dz/V7tt4w779JSMF22067YFeL7ffTyQWK5AZ0cuK1063HPuiceDk2ALgK5EjI\nGwDwxZjvpifxGIJAR1BEfa8I5KWkclWGCih/aSiKWNDQWEDZK8RRK2LNUFFHZiBveRvhZSHxkNg7\nr9kk3RQAfgUAP7N/Tu3fz2hyTOWWuZ1HOVCkuh1SJB6Rq5tXXg4lOGrQso8hhlcJ9NwrzDEeDoli\n6HRIRMbpPErENKm/9RVjEEH0nEF0ohtuXnnZnTOOvppMqL9l5lfin29JE67LhFJOfNZwqhJ7jicH\nZSuKqNZYIJTM100LFUh89tyr45UX3vHqHme92tiIt6VGI0LQOb8bjdyo8f19J1rP3kBeXkX83Odc\n+7FXa7s6otU6j/1+H617D3AA30br3gOb6GM8s3abWx5Ydqno2lCzjxm36ueoqLvkBUeUJ/HijllU\ntUkh8RCz3Z2QjLwMpVwNsqosLiWSI42KYYFkTwlHLe/nrZqOzGj8eRMBZSLxkNg8HwOA71GkHd3e\nAkZRjLK3JHaedWhgr+ns6ju7/M/YP4dCMkbn4Akgal4eHM8JupUVxJUV1xHxzBUfGZMGwcqviABN\nfPGZZzz9PDtD/MxnyE/3b1M6vSroZRWIxFxgGIhLSx6ZceTOceQRcR6pt7Exj66p+MaeRghU3AjM\nCgVuaAvrwcMEthT9O4Mcg93/kyeuPeiuQXdHZG15/XXElRU8Pb/mXX/svzXvjkJSKlAVa1l6myFT\nLLvUssh6eHp3FHIPskaf/OUITRNxfOchAiCOV3+DkJGHhjdHLS2fHLKqNIkHAO/bO7HfkHndMjRp\nJB5iaaJYKhmJh1h+EkI1J1tjcbBgsqeMo5b3mkG9v+l0aucV9VYNK4LAQ5QnbzoST8j++RiQyq4v\nFd2XjMfJbec58nPrvw6rThvW7ts/L6BTkIJVDS8gd1GOsV3dERHdSIu93/rPsV6/F9QVdhGGVAg5\nWnnztz5OSEQq2i8wXx1dtrkphezJPQrGfg9c+qPRwdO7o3JH4vEQMnSU52hUPptagw+LRM6VQO6F\n7dPOKJkt5SPynLx7p6fT+ZjX1gmBB4D9RsM91guA2Nu67qsWy9nfQXS/mEd7qe+FRieu/y8kJx+1\nPo3/5kfzZ5Eial11Eu/X9i7s8zKvW4YWZ9yZponr6+uRyRdpqBB+K4LS5MTjRQZOsagMJMYiLaQl\nQ24yUBQWTPaSED1ZyUDua4ZBcpa0m033nr3e1/N1yHKSN9nPliUDKpJ4AHC1DNfM8Xlw23miDtS/\n+k//dyT5d/4+uSPDiUx1RdTRyoNjNxLQcYBOHx3NHS2fc+T5DFFctxSwIW4eHOA6AJp377q/29ve\nQVIJ2HFcSTXEfqslhzRVGXls7Clmd1TezgvDIm3ixozVPDjA9VqN6IGwDYuQ68iCkH16/00Sief7\ne+45ROtam6CrQcuu/GrntNvYwH6j4Vt77iBAHfvXrnn7KxqJR/UBjWCRjX6/783NZ0f+XXnhHbtq\nvH1kdnOTXOP11xGXltA6NHAwmOdu9UStLy1Fvrc87DzZBs5rvHlQAOANmfcuuvEYdwDgVeq+hcey\nSF6QW7dmtlCVJIdGUkNJdOHd3c3VIMvCcQvIQFooZrxoRCMTGdDgQ8ZzhVdfyJSBIo+NzXOWeMfs\n5CypjB6yj4vRUUWt1nnc297BQWcUMHx5xseSAUVJvHfLcM0cnwe3nRc9N53IOuKo9D75abS6z7qJ\nxgEQG40LtgMkZ07noit4jlbakYC4suKNtmt0iO6IitJz7sFj74WdqLg7cp0453OZusqVAQAyFsNA\ns3vRfqcfQQDEZp3kSHQKjZSazIhDHjaqYuTRQtt5ZT/JxIMRW4c4xXkIKXafyMDyMvFdUbLcC86r\nPPJRsm1g599krSN5YePXnsQ58ezNZebftlqeDSQnpcTJCYOgc47+puAc8rDzsjByrgLAA/BVLfN9\nZw0A3pd97yJbnHE3m83w8ePHOJvN5r/0KTNljmaJII3CFll4nd3bjBeGLA1dpgykhWLGi0Y0MpEB\nDT5kOVcENjJkykARa4Zl+fWjV0c6O6XjMbnnZEL9cdn0UERkkCs73Yvz8XCOjyUDmsRTvyWy85Dl\n3DiRCk3sNxpEkIZDT9Ta6emUkVcuueOVi67gdSyNiAqIlJOW2OmN0vVOfkDKCU+TqNwPVwbu3yc3\n7HRcvfGLX5whAOKHF37Tk5+wNPpQZShEHi28nVdABGyuoGXJ/je9AdNqncevbm/j46UlnC0vZzPe\nBP5zFu+D9plJ8NF5nOd6vYDzDSvBtccm4+hqulHVabmj+O4M0YQWWvceuDrCIfFYR2XTrMF52Hmy\nDZwnMK9ONo1rMu9ddIsz7kLhY/IdYWo0LkglkDKBDKeYZ+FlGDpZEVULR6RqaCwSspgrBc6/IiLx\nRHXkrVu2AVM2PeTvLxVR4zxzAMTTR0eJ86PQUJTE+wAAPgoAq5Laq2XewE1k59k2TL/Vch0Sp9rs\n6fk1Eo3V6Xg+B0DsffLT87xyjiPT6CR2vHh1xXg8xf19b6EJdxwpo0U8p03qEXni0uqrODLR54Sf\n3h3J19mGQd4rgBtt6FQlbsL5OVlp+BKl+69RpqjlolF18qhEKFtKKGFQOoKM1VvAx438ylLmEvjP\nUu3T0Ug4j12wRRfYiMtr50DULr1S/ytqPV7BK1cO3ftahyQK/PTRka275dnVqpN43wR2pTJW0ySe\nA8bCQ45RKK4AZYXJxy28dAnrNPfhgApVzRJBGy8aGnyQOVcUioTNy2iOjcSDJt58ZcclKprNlXLq\nIdb6dmjgoDPCve0dr+xsbsbmR4mDoiQe14asQJsBwM+KHleK5yFm5zlOlH1M1N35/76BAIj7/8Xf\norW8inufehlJzrS2PY/sPEEbG96E6HepKngp5lOUrpCqv5y/s204pTZJs7aZRiPGc3aKfNg58fp9\nRESpkYClQIZHbCtPHimM0vpPCeBWOV1bt/31DqW7JG5IxCFKj2UdAGNvQJgHx1Qk3gr1HOhIPLpQ\nE12p3Tc/fX1h9tf/vdFoTry5stdGgHtB2Xt0hL1PfhoB6kEdYW+sZLlOqU7ide2d25fsf4e1TwDA\nBzLvXXRLReJh+MJDzo8rTshIWJBVXHil9CnHnHUqPkMNDRUhba6okpPSMeQ2NjzHD0LztknoT1hO\nvBdrtXLooYTvLis9qyiJ9/MMWmWP03pAE1i+HDyTtd/Ev/gCiWA4+b6BTdehcRwe2+mAJp4+OnKP\npssk1jxOHzTdhN6pi0mw7mc7k9ah4Z42qdefiRxzHk5+FnPZITLG46m9kUFXF/6Ix6Ft1ldwPJ4G\nczJVmcBDlL75tUjkkcpQiqTPGKJjvX07O7swVI9tbGRvn1Jz9MXnn6f64PQjmJcucuOEEb3N7C/d\nZ5+eILapvx917G1dx9O19diiGZMJiRjPQp8oTeIhMXK+KfN7ZWlJSDyehceJZjg5mQaPAaiChAuy\n0guvrF3ajCN1lH6GGhoKobJzxX80bG3ddQiZedv8f5PivvPqtCSC6Mtf/h/DDSTVnq2AbqZ3m7OS\nHRVJPN1S2Hl+kpg+Nnlo4K32QyEn8Hd+h5Ir2nkRcbzCjl/ZR8L7m5vYsp0fqRvHRvBI8TwqLRiR\nkeVGSNbrgKhzTzelN+tlg+coIOdzWCTySGVU1sbywUkLcHIytVNf0UQ9Ik3Sn5zMSSFpGzGo2LM2\nWDlOHZ1uryf1c/PCEqxjsjI2iyg7+GZzye1Hq9HBK/W/SqQjZG/0KE/iuRcmBS7eAIDvAsB3AOCL\nAPDRrO5XdEtC4iVeeEpA5PFMUGUXXonGRSbXo6DsM9TQUAyVnCssIso5mmWTTrST7hg4UvI92deY\nTqf4F39hlfPZcupm0bwvScanSTz1W9oTF/TmIMkJh0jIrJBIvNZ5N0rLLRCT9mhrCGmddSR/WHEP\n52cLmm4OqSxTEmS9Dngi8eorGBWJR94zfRRP0ajlrCBps1wpQkMDEat9MiiJDpFNWqlgz7rz7tGR\nvflDzzui2xu1ZQRAPIEOWvceuOMWTiHAE6HnbBY1Gtiqtd1+3HxlB63lVTSXu6SvYTrCf/xZVjAP\nBeVJPCCVZ48hJA8eADyQfU8VWpxxZ1kW9no9tCiJ44vEW8Fbt2Y4mTCEVbWEt4ICr+TCm1XknGGg\n1e3ixz/6UWzaOwQydl2VfIYaoWDpAY18oMpckSoDYUdCbzzBvVbHW9nrWtthzgAAIABJREFU2jVy\ntE8igefA2WU+OSmhHuJYt2TLDksGNImnfkti5/nBdm79xNbc4fU4f2kcP4auODtD3N8nhFMW8zZ6\n3jjEFsmh9OX6CnHysjjSy90nGWO2ZeDwEPttf25rmrhs2rm0SqQrM4BsskcF8mjh7bwMyA+VEF0J\ndT6//7zZxsn5tWAOXclVYYuyuYSJxM7I3UgWLubjWwPC/PJ+o+Gb/0QH9K9d88glU0dQldFlBN/k\nYedlYeS8T5F2PwWA7wHA2/bPn9q//67s+xbd4ow70zQRANAMZGckUGHhkYGk41Bm/BnmuOptbdlj\nbGQyRmWeoUYo4vSARj4ocq6Y9+8HZED28bF5vroIIyUpYnRkGfWQSJ9ljI+lBzSJp35LaufRDhdJ\n/k1HZ9HJv508cefx5pWXsdc670bstRodOfOXQqpoDg7dJFzJ+txD7H3y09i0j+dn7fhnoatcGeh2\nEYdD7Lfb1BHijtDzCDzziiAzAkIR8mih7bwMTx4ph4hjpI6/12s2M7eHMrW5Iuy9szNE8/6bIdFt\n9xCg7Q1EOqTWjCS2LSU7tFy5RUbOrzEiAkk/XH1ycIzW8qontUOrdZ4UGXKub+ewTRvMk4edJ9vA\necMm6UYA8HzIdz5mk3lflHnvohvPDu1gMGDvzCiy8CRF6gW55OOPgtd4X0KAGmXISdwtqfAzrBIi\n9YBGPih4rliHhzjodNA6PHR/JyPal0sPZ10trUR6KNG6Je34V1APaBJP/ZbUzkuTJ41UqsW5Y2ZX\nNBVCiCN2+3Z8Am8nL/N47MvJJ1Bw4Nb/z97bBslxnGeCT3/N9GBmMANzKOMcPoWpH5YGPiNMSUt5\nzg4hJH6IK+GDoOizLCHOEvRBYkaNDW+IomxgOIQADAfkRmwcGbGCbtf/HJYph06kRzOcHsoBm4q4\n+2HZ3PUh4iJO0N798g+dxDU8bHZPT3e/9yOrqrOqsqrrI6sqqzqfiAxguqo7M6sy33zzyffj0iBe\nn5M4AEhIVlny/do114bz7t0DApjFcufKumDDGVMnFLxnIh/Xs4y8eRJxBVSIPBpbPS8pTyYVYbhu\n0syMTYYARE+dfILacwt06Q8+R9XypNw5LmpHkjpXwHfqSSRGWa9GtKcxMWEdblWrM/TAA9vh5Ent\nOtH5824ZYfZ3aooReRx6PaK1B3/kShLX226yzwW8Rm99PXE9T7aCswvgywHv/bHMurMuo5Q7Tyi0\n8ERF7NPcnPffD6nELSj4M9TQkAZV5koC7cg8RooqzzYgQj+vc3cS7Z8m8dQvUfW84JZ49xBAVMI8\nVUvTxn3TxrVpAq5QtTrjJpZHkTEBNmJem7ALJ8/GHue9HtHyqceN33TG/2P9rFRmBX1mMePK5WvU\najk2vEH67RNuoDd/j3suX+WsROK4LTssOcxn7cwy3FhcFD7zldNno1lme7TbtenOWBZLt8QbJ/Io\nS4zyVOKvG2M1ySQ1meL8eStJA9FQhly6NKDV1ZC6xVrENqSlczl+p9XqG/KMq8eRuEiq5Tg3roZe\nJrx1c5mWa4eYRaBfYrXNHerO32sRcUIZIeiv3+dh5YzqJN6dEPdqEq8gC0/kBbkg/fdD4nELxuAZ\namhIgWpzRfIJaqaWeKo92wAIJZu3dm2bfiL5/dMknvol8mEtB/+YeCEz6DmIZV/4bfhEmzBU6fjR\no3Ky1XKyrmQFHDc3YVfC9XnN3ZegfSayJ/7x+yw2kcd9j3c/swgN85ksLrqecXf+3uiyRXCfb1zF\nBEPIBIEUV8CM+zA2yOE6nwhGPAf/hA+SLPHSehcbwzh2VlImwzq7Wj3M5qlhkUjr69S5uuEtayKi\nt92k7vy9Drdd/hDM0G03d2i5OkVAWSxPgiTHMOElJ2ISp6qTeLsB75sLQ/jloURS7gq48IRakAvY\nfz8kErdgzJ6hhkZkKDhXkoplkmhMPBEUfLZhMPI9pNA/TeKpX2KTeDxxb5BlJdSoZIy7avkQLZ96\nnFqH30MlfJNY5lJ7IogKvInlUPXXuFh7tZplVWJuSpgFngTZxG9qmk3qzC2wflRmh32uTrF4RkIr\nCvac7t49YBve7ZAbQ+emi99kGtdDB1mPC2ebzEQemzvCv0Nvhrn7G42G/V0714AsiRnJB1kaKSAt\n6y+VsbHBLPEchNDqKiu8HGksLSWi46Wmc/GyxNKTeCs4sPXDsD52ZZ2VMB7Cek088P7vJCtPYsgt\n1Um87wL4rRH3zIElv/iuzLqzLoGVu5xvdnyhF2QG0TvebtJafcOdpWhpifnfj8uz0dAYc0Syzg27\nbpw/bwuo7grcG0feFG0NU2Td0iSe+iUWiedBZnU2d4b/n1sgajapaxBNosy1pdJErLHpR1j3ekOX\nT2ZtIdHN0fi/ucnb2xNYAroyCw77L8sSMHPd1I80m7/X3kZUmY4Ysc/u7LgecaqyIGY0GZRfqDSf\nskIQ8tuUa84kCkGf06OPumKz7e8TnTjB/rVhfZ3dLxlW0oi5Be6QxWEFV5qgztwCdbd2aX9fQGaa\nz2p9PZI+yFs2lqw1wd6GEqrUOTTHDrd6ycuTqAfwqpN4HwTwNoCvAfg17vP7AHzaIPnMzLX3y6w7\n6xJYuSuqObJekIdw9rXZtLlHWM9mc2co2Mbl2WhojDkixa4Ls26Yrg3NplsOk/i3QqFIa5hC61Ye\nSTwAhwH8GoDDWbclpf7Gi318/rzQYqH9V+z/7Ss3iGZmqHNojgCiC+VJy0pvaP0Q3pIj6MFB2AQU\nI2M5OVyxqNm0AoSbfTZlRu/a87RW/iatVCe5bK48iRnPgkWZrNk+hyArp+NbP9retV98KI/wNqkQ\nM0VaQ8YUysynLOGnP4zSxYKM7fV1olLJRuSZhyytlv99shBFXxXO5fX1yAYrvEwroeZN4l1Zt7kz\ny5YnMsJjKU3iEVNyvm6QdH1BMQm8QMkv8lRGKXf9fp9u3bpF/b7bTzz3hJdekN3gTx6OHDHcI/rU\nbP619b678/faiL6xeTZjDJsc0BhLdLt9euONW/TuuwexYogK1w1OaWR1CeSw4LdCowhrWIbrlkgO\n5IXEM7wpNowDW16/+wWA50d5Y+S5hNLzePBklpH5jrdebbfZuGsf+iVqVCpUxSQBzHXW6U4bxSIu\n7Ebs0qWB3Bi+TuKq6XBh5Q46W6+9QXefNS0R67HqTzwmsQBh13jZbYyT4Cg1YqZo1twOFFXPy2I+\nKQ8R+V2p01erVbpVr1P/9deJKIZu4SDozAzXd+8eCK/Lxv4+IwxZvXWj/JLxzn/J+uzu7C9T67U3\naH9fvj4YRaZFlic+silswpJnn01ez0tK0fkggL/nSDuz/LhoFnhcn32Vu263SwCoa87gIpkjF3xB\njgxDYW8sLRnvmI2Bp06eobX6hitV9Vg9mzGFSw5ojEbB5As/BkJvmkatG4I4LaED9wZF3tewDMeV\nSA7kgcQzCLw7At2OL30Az2fd1oT6H07PE0GwobHi0FXqxvuPkOzBB1E234kTOsKDzuB9DtLvLDJ2\ne44BD3lz4oTcNoa1xNvf18SMbBRVz8tiPuUBXrKSHwOxdAuDqDt+9Cjx8eiOHz2aKIFHpEY8OnGi\nEIdLryD7bCT4HO7+yZ+wA7egsrXdTl7PS0Pp+WBRiTtHP0cqd8eOHbO9TE8laXEx201rwTbNWcL+\njrvW5B0rk3MNCyI5oDECBbP0tcbA1lYkEkwlN5ZYbVFtnUmxPSI5kBMS76ZB1L1t/P/rRrkhOLh9\nJev2JtD/0HqeEJysWlm5aGX7Yxu0KgHT3AblEAFXCZgzPptmm4XyZCRiJdCclU3Qe82tc3eoV5/m\nDjqJquUZevLXj1MJV8ie2GMqdL+zsBzyHAM+61irlUAbm8Fi4mliRj6KqudpS7whRj+LCgEl2tvr\nSHkWjMBzJ5U4fvSonA55IBCBhirLDHvqcfLMDBsX3Jokeg6WTJOxDzh/3ubRYh6yWXuOZpMatdrI\ndTQNPU+2gvPxAPfMAXhaZr0qlFHKnYlAQrBSt4JEmhM/1U1rwTbNaUMvdBoaklEE900eIfujkkyR\n1hbV1pmM25MTEu8ORiQlA/AVAD81iLwvZd1myf2Pl52Wh0WyrIUiUZiVXsSNURByLglZ6zO32MbP\nvRkabloLFBNvxLOVlsmSq2dUdtrE1hbVDmk0pEKJ+ZQ0JLpWRiG/A7uy3j2gVkuQ7EIWOK8yO4F2\niIDn6KmTTzgSX8jVTc04qr3tprVuVsvmoc8hccbtuF4mRmgafq0EWNZ269rSkkFsFic77Z2A9z1d\nNHeLoMpd6FOvc3eIKINNa9E2zSlCn2xqaCSAvLtvmohAFqkkU6S2RbV1JsP25IXEC3Hv3wP4u6zb\nLLn/sUk8t7vjBNktG+rc33MEfJOASctar1qdiSbzgoxtR0xNIolENvedXm+YnbZSmRVv/FClCyfP\nWv0uWnZaV1uWlohKJZtVYqQ2+rhrWwH3PX5PKjGj2iGNhjyoNJ+ShM8YbrcjJpAJgbCu9idOSOv5\nEHzYAyPTbrU8w2R3aT5U+wLppgLi1JIbW7vW+7Bk2tWNZGSI0NqOycTjpgszFwYiqI5YFBLvJoBf\nyKw76yLVEs+c+Fu71Ju/JztBOS6CWjJUsprR0CgSCnH6G8FCQSWZIr0tqq0zGbUnJyTe+0Lc+wSA\nQdZtltz/2CReWBIcYNZqLiLm/Hnv8ShIJEFHjlBvu2nJGdvGyLRacLgREUm2njLa8cD7vxP6GUQm\n0lU7KCCfdWxpKV4bPe5zkWei+5KQewo+e42YGLd3GqC/QVwro0AJSzw+KZNxyNN6lRFXb7/Nkmzs\nHT7K3G3Lk9L0QeEhxNyC9bmV3X1r1/N7UeAfU5TIDHlxoTpF3a1dKylV0IMJpUg8APeBJav4iVEG\n3P+9ipml9u24jVepRFHugmxIs960plb/o4+6gnPu77OTBZdgWl9n9+cAWb8/DY28QyUCSwpiuhmp\nJFNktUWlPmXVnjyQeGYB8CCA7wJoAvgWgMcF92wA+HHWbZXc7wQs8dzyzHRXKhtx8MzwKk5rBM/N\ngvNzQ+bwZI4Vk27+HrmuSCPA5laZ7DGNvGV6qzVss2f/vJClNZhDzptZiC9dGlC1OpNMnwVri1m3\na33h33OSxIxqhzQa0TGu1pV+Y1jgdpnE+M4qJh4R2d9nc5hJ3LKSrtSpUatRo1KRozdx9TUaDWOd\nNOppNJg1N5/dXNTOiAifyZ25Vgc95FKKxCOm1MwDeAP+2cqc5W0An45bt0oltHLnIxR68/dQd2s3\ns01rJptmQZpsU5FptfzvUxZaedHQiA2VXEmlII4irJJMidkW1cjZrNuTMxLvhkCv+wWArwH4kkHw\nDVCwpGYySDwLTe/EAxc+8JuuTdJKrU5rH38zOOkmsmi4ujEkZwTWea7vSyLzgswt++a0bG38YlkC\nZhmXzfH8w65jJ06kFDsuBWJGtUMajYgY4ziHnmO4VkveKjGt7LSi97vdpLX6hi3j68rps8RiuU7Y\nnwUQPxyACZ/10RUDz/G9OOOu1yO6fDm5PYdyJJ71Q8C3wYIePwjgIY/yQQD3yapTpRJKuRtx6rV2\n7k6mm9bMNs0Ogo6ZELN/RdeVxriZnGtoJISsyZVEEEU+qCRTJLRFNXI26/bkgcTjLe7AstI6M9K+\njaFHxlzW7U2g/3JIPN7S4MyZYXBsw6JhuWrKN3PDNtwkhdJ/vCwaypPWRigNS5qwc+uB93+nGPoR\n9xwDxQHMYh1LiJgp5LqtwTAmZF7gRJTGGA7rWhkIae6LRYT+9RcICBgDsDxJnasblpyLopsGsVTn\nn3kScsNsAztM4w+YiFh2+CtUrc7Y2xBwnCtL4hFTcJ6Q+Xt5KqOUu263SwsLC9Td2hp56tXrMZeJ\nJLO9+CHTxTetE4ck4XmyaYwB80VrIm/sYMkB2yqvERRFONF3rgWBLNlUcmOR1BbVNnlptkckB3JC\n4gnDoACY5/7/QcM741tZtzeB/gfT87pdb9fG7SatVa9R79rz7IONDepcWSeA6BvfGFDr1R2qYoJY\nFtpp4SYp1Pjzs2hoNFI5DAgyt0yrw3/+5z5zT9p2tCMnZIBrbgsslkslj/eRo3VsFLI+FMkShdfz\nVNJHEkTYMby6SlzMUW4MRJVdWXioeRzQXro0CPUsoo4FZeRGs0k0M0PHSyVOTpPFSyyfenxk39LQ\n8zJXiopSgih3AKh7/XqoE4zG4mKmi30Wm+ZMff9lwOOU6vJlwRgwhHsRT7E03LDkQFGVuyShkitp\nDPBjILB8VenkO0hb+GDIRltUXuecSHrdE8mBnJB4fx+UnDOIvC9l3WbJ/Q+m55kbNwEZb8YT6s7f\na80R87NQm5cHf+Sqn0cQi4ZSacKwCouR9TYkvObW8qnHrc2ptQE0n6GRCdC3XYrISNHc9upzCbXc\nrmOjoNohTZoYCz1PJc+AhGCN4asbAhnqb5ElZQxkFSteoGtXqzMswVIA46J2O1ycOB6py41RLsTr\n63SBI/EqRls6h+aGOq7HOE9Dz0tCyXnacKUQBTq+WTSljuubr3I3GAzo9u3bNBgMXNc8kfWmNcX6\nlcjCkzCsMbCzMxanWBpuRJIDGoVSGA8OBvTWW7ep3e4Vd3MT5qQ+pcDQYdueZHtEciAnJN7XDXfZ\n5wPc+wSAn2TdZsn9D6fnOefBxgZ1Nllmv87mjjX2e9tN+pPf/wkBRHe/9zonF2YNuTA7lAubO9Sd\nv9cWo0iE8Flwr0glqoUw59bioj1Yea1GvenDtHbuDrVaDtm+vk40NTV63iliHWSOgYODQWDrw729\n/pAAyMk6FgZFsKAPg7HR87Leo6aFpigDrb9FVt7HgN+cTWs+NxoNcT2NhrxKnDKXP2gzkkh1jViy\nAFG1PMPGOarUqFRc2dx5pKHnyVZwPo1hbJSbHvf85Ti6WYRG1pvWlOs/cSKcwnnihJRqs0PW71dD\nIy9QZHMmC8q4CySNIDLOIDGUkYMZyuU8kHjEdJ2fYhj37ksAfs3jvg0Ag6zbK7nv4fU8bsw0Go3h\nZtcgr1wENqqe3ghhNsdiSzzTPXeWhoelJlE4TYkeIPjNLUMWNGq1IbkXhQzwqmNzx3Y9jWQekeV8\nTtaxwBgXomdMMRYErUA+mQR8Z25hpEVWXmBbM8qTgoOHCSrhKrUOv4eWTz1uZNk21rLFRfn9b7JQ\nELYDH7+kFjHqsdrOH7QZ77a33aQPl67ZyFtrnL/3vaGqUp3E+zFYcounfe6ZNxRAl6VenotUEi/r\nTWsG9Y+DJZ4LWrnR0BgNRdykZGGs3Iz8ZJyDwCPKmJzNeN3NEYn3PgD/jTuw7RuE3isAvmX8+2Pj\n2p2s2yu579H0vKZ3XLrjR44IPi/TFNYIOGRtHI6XSkT1OtH588HrddV9JZsDhABzSxoZIJI5qFJj\naclqQxrzOlgcwBm6dGlA7bZDzudgHbPBa40+d8eWTdkiVa8afSsA8TGOGEcdxiTqOnMLBJAVhoA/\njMn7OA578GDGyUuEyOR+y3XgkyDv0ThzZkjUlg9ZLsTV8iESxqlFlVnHBxznqpN4gRQ2QwH8O5l1\nZ12kkngyN61RfsvrOw/+yOXC0dtuss8lbqZzHxMvBAp5ilUw0kVDIykUcv474NnHxUW15ETGcisv\nJB6RdRj7l7BnphWV+7Nuq+R+h9Lz/OPS8dZwvEXcFKf7zBv/HmJzBoiVnda0nKiWZ6iEanqbb4+5\ntbrKsh7KJgM8Zc7SEhGlb/FbeDkvImm3dhlRurXr+5km8vKHcfUmICIrdqfLIqtWy/0YHk3Osj7f\nvXvAsvH+VULz2fEbrkOXhGSGOzaz/EMv1Um8Hwe4Z848vZVZd9ZFujutLMi0LkjDUqEI2WlHoPCn\nWFlbkmpo5AEFtsQtvIxzkhIbGy4XPYsA3HYQfh4EYJ5IPLOAZaK9wbnYDoxD2u8WjcCjCHpe+Lh0\nXuU6Wdlp5xaou7U7es4I1leevGosLcknlvyI8PUb9mvNJq1+/EfSNkmBZA6qdOHkWcsVLhV5y8v5\n8qSr3jRce1OB05XZiCPFE6W9+XuYdV7e+zrmKPz6bsKQZ3x/2UGIwCKrUg+fOVxhiA8eqjb5JWU+\nO9cMgZwQ6lKS9o/+B23TBLCDr3L5iMFJTMca56qTeH8J4LdG3LOh3SxShleckCinkDJ/ywlHmmzm\nWsv+FV3PK8biFCvJcaKhkXcUfH4UXsY530+TC4ZsHFRYBxdmFlLR9zjkkcQbt5KsJd56uDlz7o53\nxR7jzBqTRsDuxtIS1Rwbs1hyx+8Az6jTcruamqL2lRsEsMQOjAyYIMCMPcRtkjZ3qHv9Bd9NUjTC\nNGGLOKec55OaGNedckP0vdygwAdTGmIU3sqUxkCfcUIwj3kST+o7dsq6jY2hxe4omSiB/I+WACr6\nM1CdxHsfWEw8IZHHEXgDABsy6866jFLuer0eLS8vUy8ril7m4prEQi0g6FotNkJbLf/78gJzDOzv\n98bjFEsrdC5kLgc0Mkdve5uWJyept71tfVY0S9WxOKkfsUEXbdjN+0VyQJN46pfIel7TJybeffcR\nUCbgm8bnJqlHZHex5ebM1i6zbPOCwCKOiFnDrX38TVucstarO4ae5ThAWF+PtkHyO6BoNoexMNfX\nrfhSnU7fIAPMZzN8PnwsOz/4yxw/12W5ssgaA9vb3oQmR+z7yYk8YhxInVEYGz1vTHT8KPpMbseA\n8U572yx2qGlMw+RmQjpchofaQV2IK6jTb/7yr1IVE4HHeRp6XhJKztcNku7vMAx03ATwC47AG+l2\nm7cySrnrdrsEgLq2XVq6kLm4Sl+oH33URczt77MstK4kFuvr7H6i8HGMHn003P0STfxFY6DoCk/R\n+xcWKsgBjWzRvX7dNQaKHDOy0DJAtIkxsov6WTiJ5IAm8dQvkfQ8bgPSaDSGmfbKk9So1ag3fZie\n/NTvceQVv1ma5T6r0vKpx0dvlvx0omvP2w9Bm01qffPfkfTDUr/NvUHi8QHEzWdxoVK3nkOtdogR\neBHa4ZY5wUtcKxprDFy/7v0etgXPpzyZW/JjLA5tQmAs9LyCexN4YZQ+Y87xdtsxBvKgy3HvLKyF\n2okTMfVXBQhhPxdi8z1fOHk28DhPQ89LStF5yBEjhS8bAOaSqDfLEuSEdm1tLXVWXubiquRCHTb+\n2vp6ZvHaXGNAAaGVBJQcJ4ogKzmgoQ7GagwUVMbx8FLq/UhL0RjQJJ76JbSe5xeX7tAcUb1Oa7Xr\n4UgmPzdajzotHef6C0MdyPhXuiWeAb/Nrte1UmnC6ueFk2c9dbYg/edlTrV6mC6cPGsQ68nqI0Hl\ne6zDDcWSh42du+EIFH6ND7vvKsA6T0Seh3aizNftNjcG8vIcOLli7uNarT6Vy9eIhTpwyM3yJHU6\nfctrLu67z/TAt8li8S2fetyKmSqyPjSvtVrMwIg/lLGFTdnYSEXPS1rheZ9B6D2BAgY5dvRVyZh4\nMhdXZRfqsCdCKpwgqdCGhKDsONHQ0EgPBZZx7oOKCRpaTZmue/zfEyOJAk3iqV8C63kbGy7yaWih\nwda97vQ80cwMrXzgN6iKOrcmui3xquWZoRst5wrriVFzz7C0aywtSSXX/Q/wpgmoU7U8Q5WKOUfM\nIOHmJpF/DhMsg7WgP1H7nUgyjxCQdsCpGImiD27HDIqRyKnAS7Zs7tgOGyz3+KT0nAyefZLZvgPL\njqsbroRO0vpttHft3J1Qe9fLlzmZa9Y5ou+5IvFsFQH3YUTSizwXVUm8wlvimQhr8ZGlhYhiCphs\nKD1ONDQ0kkfBZVzcrKOigwtN4qlfAut5zSbR1JTNDXRooUG09uCPqLfdFJBKV4jFxzP/ZqTW8gd+\n0/7bIQgtLx0nCUJLXjZeIuCbLOOjqSc4szx79NdT5pjPQ3YyjwSfj+8Bp6KHJIUOn6AxnlBJtqSt\nW3mtI0aog7gHQaFlImeJHqvfJuFm3N/bbtLqKluf9/b63PrrznDe2dyxrBTDylzlSTwAc4bL7B0A\nv3Bc+zqAV2TXqUJRlcTjoXRMPAkI26bM+jBGp1gqjhONjDFG439sUfB3rC3xxrOE0vM8SJZWi42B\nzuaOp3unFUy7Mk//6tf/wm19F3DOuNffCQKqzLU0gQO2wJZ4qBNwVR6hReQvcxzuTolby3hA+gGn\naINdqds20qnK3TEIn6DhAY9kOkLkbc0PoM+kuteRSeAHlZsbG9S5sm6rZ+W3f4eANWNd4fq8tBT4\n/YaSiQ5L9Fj9Nu89f57o/HlbRtxej+hf/fpfEPCcq28rC79Ma9VrtHL6rJvUnJoaWXceSLw7XPy7\ntwXXbwD4O9n1Zl2UJ/G8FtfFRRZomBt4Ixd9hRbqsErR/r62EksNCo0TDYVQcCstjfFClJh4ImgS\nT/0SWs8TrIGl0rXw5JU096QIdUeEb0y8pSViFodebsQSdTFF1xtZm/5Rv5NaXxW1DNRICYL3K9xL\nFsC9lK8ns/2krP2V831sbAwJLSOLdq9HtPbxN6mNSWIHUazP1fIMDQ8quT5z1mph+hxIJsrcV5p9\nd2RKp2aTuvP3EkBWqAuTqOuixrVN7F7sB6VJPAA3DfLuDoBvi0g8474BgC/JrDvrojSJ57e4NptW\ntjDzepjEEFkv1FEy6KSlxI41tEKn4Qc9PjSKAJFCGSA7rQiaxFO/RNHz/KzhhgG07Zugamna2ixZ\nm6CAMjG8S+s1W90yiTO/7LTHjx7lngmJN0UyrFhUtAqOuRENRB4Yrsima1iia6uiRKlGynC8X9cY\nKNjYyzr+tzTrP/7ZNJtDQmtzh4jIIvXaV27QicqPkulzCJko1eqx2aTGxATVyoygrJUnqTExYVkd\n3r3M/m2tPU/d+Xutv6MeOqlO4t0B8DT/t8d9Py2aNd4o5a7f79OtW7eo3++L32xSCCLgHESe54Y6\nw8yuXsiTJV5mYyBtaIXOE2MzBoJgTC019RgoCJxEtOmiZyi+zr985YqUAAAgAElEQVT5+0VjQJN4\n6pegel632w+kZ3z5X3/a+OyQbTOy8tu/E5lkCqoTPfmpTxOLwVe31R3GFUoInwOa3naTutPz1Dk0\nR7VKneyWeFPW35XSNC2fejxYEo+s4EEOPvtsn374pa9Q//XXhxfOn6fe579oc1HrbTdpbY2s7MC2\npCMj3LKixB5MdG1VkSjNEGO9xnPz32UwkpRel/ahsDHeeVlbrc4Y8tRM1lMnoEzV8iRLyiBpP5mY\n9R+vj1cM6zPDNZ+3UjNl+AWb/J6NV7/f+zOSRPXm76Hu1q7Hs+YOLkI+60ajISQES8bf5kHbZXwz\nlLxdWxPLAdVJvLcdf3uReP8NQF9m3VmXUcpdt9slANS1sRgpIOjiahB5jcVF7w214gu16jHxMhsD\naUPxcZIlxmYMBMQ4xkzUY6AAcG4KOPcL87VaBxeGSwr/ve7WlmsMaBJP/RJUz7t8uRuSZGHx4Wqo\nMhJN0obTL6ug5S5kbFL4YOV8Qo5QEB3gXX+BzYOtXVqrb4TbCJ27o+6BjudhpSHf5+ctyxaamaHu\n9LxNHpjyoTX33w3lhs+BOY8gG/lSaYL4+IrjsLaqAuX3e0TJ6t6mdRNPBk1MJDuPZRwKB4zr19tu\n0lrtOvU+/0Xrs+VTj3PkHRFQIQC0XK3mxvrPa70oGS6k5vNs1GqO+2LImFFGH8b1tY+/Ka3fQeTn\nsE+HCHiO/of3/Krj89GWeCI5oDqJ92MAh7m/XSQegE8b7rQ/kVl31iWIcnfs2DG1Nm4OgcUmcJkY\nw+2YkKqTLX4C3JEljsgQwvWNyMEpo0DJMaCRKvQYGIPsxSMUadsYUF2uqowsNyzOujc2LMsas25b\ncGi+7maTutevu+SAJvHUL0H1vHa7G2CT4NwoEF04edYaI7HJKw9X78biIlGpNHQXuntAgGExGoBA\n8oVoThq6Vu/zX2RWHF0++98hsrvzsuex9/0mda+/wOaSyhb7QguSLi0uHqPu1pbdw8W0zL3CdFHz\n79arO8LkG0FllnvjXWckHmrFW1tzgsz0PEW8YLysmxqNRiL1WfXGPRQWPJfe+g1aO3fHNlesmHHT\nQ6LetFYzQyFUy5P0SwB1p6elWgCaMtSeVEsQEmFzZyhDfRCO0JohYII7IDDvMy3x6nTh5Fnqzt/L\n5FnAPo3U45pNZol3dYM6Vzc8w1DYspn79Du8JfNV4xkcIuC6a70yZe7K6bO2ekRyQHUS7wkA3+L+\nvuO4bhJ4AwA3ZdaddYkSKyVzmBPDMFFlE9jp3mBMjLkFlhlGxUV/lCn1+rr9dNlhNWHdL0OJ1dDQ\n8EXWcUQShyKKdOFRsOesSTz1S2A9j9uYDDeWPGHnzErLNiPV6uHhJsRJ6oSBl050helCjcVFK2aj\nuSESWYxKmzMe7XHHwSvTA+//TnASXgXLI78DZIPEkxEzM2jdhV5bNUYjbddSA1kdziaV8dl8PhZh\nt7VrXbfFjJuZoUatZsVUqxgkXmduYWiJK+t5O36LrS3OuKIIZc0dxTU/kGyph8hWHKLvjTNnLMvA\nqBaA7jFzJbU+K03iEVNy/hLALwB8C8DbAL4GlvDiFwD6BoH3NoA52XVnWXJJ4hFzV8j1oh90I2cS\neV/4AtGRI8NTUUOwJ67EamhoENEYWOIRZaZIjx0K9Jw1iad+CaznOdwi2WZrPbyuFZR44skso27e\nMtTSca6/QI3FRbJbq0wQsOayIohUt4GRIVsMN7sSaoZVxzD+UqzMipSR5ZFfJl5J2atd8JB9e3t9\ntrZW6sVcWzVGQ4ZraUhkdTibSL3c3LJ0irkFovV1l5vw8VLJMZ/ZteVTjwt/LzYca8uFk2etvkUJ\niSCH0OIOoUwLwDiHUB4QWx0TlUoTkcc2sxrlM6U75eas8VmdmCWi2eehJd7d770e+OBNeRKPmKLz\nFbC4dwNBuVk0As/ocy5JvF6PnTB05hYMdtvDEk/VRT/MSez6OlGVxZzhF7aV02eZu4fT/Fe7umlo\nJIpCx8TLQJEeSxTkOWsST/0SSs9zeAC8/TZzW/3Zz/blH17wm0RDJ+LJrP19osuXmetmzWUFKLFu\nA15EmjuW0tASLzLxrqTl0TQBdapWD1OlMkvM+nLOsSmc5f6eiGUtROR+5oVeWzVGIu33b5sPXgRy\nAnvJJBM92Ai78iQdt9bnCQfh45z7V6hanbHXKXM/aawt/F4WMMIxxPAmG4bU8iK0jHibNhdbIusg\n6Ld/J1JIAD/4jysmQyuVWfast3bDJ0NyvGd2qOSeN/fUatxn9rUrzIFRLkg868eB9xkutk8AuB/A\nfJL1ZVkSJfFScBlwC/wcLPoRnotWbDQ0FEFByBcLAnm0cvosAWuc0icpA6QqUMGdjYqxYdUknvol\njiWe6bZarR6m40ePisdrnJhRZp3nz9stSDp9Wl0lTq8bXUJbyfgQafxBMXM5c24KjTh4e44NbwQi\nT2XLI6nPf5Tc5Z+HSUKkubYqsi6MG5TwcjBIEaF8Szi5hUw9YBjXT0TYXQs0jyPLUz+Yc3tpSbhn\nt/oqQYZ6EVqNWi22BWBQhLa0DJMMycPi0hX+YGZG+Kx/85d/JbQBkNIkHoCPB7hnDsDTMutVoSRK\n4iXkMuDPcDOhVSpNqBsPL+Bz6W2zGHidzZ3iuu9paOQJBXKDtMC5sZly1TMAL6rM7SDv8iZDdzYl\nNiwSoUk89Uu8mHjmZpBtjI4fPWpPOCGDcDZdVms1G3nz1MknCGAJIxKbKx5E2gPv/060DW9IcidT\ny6ORlngzBDzPrQUxLfH8oMLaqoibc2EQkBTNPN4w9z4bjYadUG80kn3fEoh88ZwOR9ix+xOM/3f9\nBY+97DW3HHEm1fKCl8wwCS1zLSlNUAOgRqVifQbEtwAc2ecuUefqhoCniGH16LBe715lmdPN2If/\n8i/sGbz9J88LrNeJgPowgUiIRB6qk3iubLQe9z0N4HmZdWddEnenTWBhjsRwq4YAz2WtvpHtwqah\noTFEkRX8cZQ3GW0aM9+wSIYm8dQvQfW8oASzmRm29eqOtDkiJrOGLqtJkl3ueHssWcVTJ5+gS5cG\nVK3OeD6LKBteVYj80THx3B4uiZCNKq2tKpCJRUEeDBYEbXS9c4/7ZNcddayFt669xslXk9SakDef\nY7YvbPw/E85kHtbzRFUg45kMi2wBGAJS1y6eGF9fpx4qtPbxN6058cd/HPJZB0zkURQS7yaAX8is\nO+sySrnrdru0sLAQL+W4ZJcBm5uDhyWeJfCj+JqnhRHPxZ2SOxtFT8oY0Mg19BigwrvamIo0czcw\nFTveEq9CAGhvr5MLC7FAyMCdTZUNfBSI5IAm8dQvQfW8y5e7oTYAly9TrM3P6LnA5FC1PEPL1Sla\nqU5Kc7MMEgvLtEh+8lO/RyzmkhwCSwki3yX7ugSAlqtVonqdaGbG7nqGKh0/ckROdlonVFtbixYy\nIyAS0fNCElWph5gQjD0hgWy2VdbYk0hcB5FlIsLu+H33ucZ3d36eFubmpI6BRHQe53trNqk3fw+t\nnbtjfb/dZs9z79kNQUiEGBaAYZCkLNnYcFkR2izxXM/6b+38SJeod+15okcftf1sGnpeXIXmPgA/\nBvATowy4/3sVK0Nt3MarVIIodwBiT2jpgtmYwO7fvUJA2f67aW6oQyoj4hNg93NJfGHzaXe77RgD\nOSQoNOJBlhzQUBteWbSGVhgZjIGEN3hZxqXLW0w8kRzQJJ76Jaie1253A222Wq0+Xb7MEk8QUWQi\nLyyZ9cD7vyPNMip03b/6n6QRWJkT+UJixZjbV68SQeB69gAL/t65wrIVdzZ3hL9VFORNNstAYnpe\nUCJDEfLUU7+QiUcfdcVh298nOnGCk6sm1tddRIsQTe+4fscBg8gywiDUakTNYUy1S5cGhoHMFhsD\nW1uJ7PUSm1cCPTHxmKqjkJZVr2jeGIcuUawP09DzZCg18wDegDgTrVd5G8Cn49atUhml3A0GA7p9\n+zYNBgPXtVFIXFFRROCL2uR3uuJvSSh4Ltsp9NOn3fv73BgoqMKm4Y84ckBDbfjLadMSr05Pfeox\nemv2CB1s7aTbwARcrTLfRHPtTW39kkCGiuSAJvHUL1H0vNCbrQgbPn4eMpdVZ8w1/v91qlZnaG+P\nbYTabUfdIedMEBlgWQKWpmmlVqfO5o70TVjqZJGnPB3QW//hf6XB/Lxv8HlL9s7f6yJf8q4XKrEu\nZIgk9byR4zwrN+asrEBl6zXcfba4fpU6S8yxvk6dQyzTdOfQnGXBZbqgmvUOBgO6/e1v02B6mmhm\nJhH34cR0Hse77PXYOpFESISRSEBv9YPX/Dp+5EjoTMBp6HkylZtvA7gD4EEAD3mUDwK4T1adKpVR\nyl0cJOoykJXAl9C2tXN3wj0Xzmc90X6q/Ew1NDQSQWg5HTCGhlRIlk2Zu7NlIWsTUio1iad+Ca3n\nZXBAGjaRxOqqoM0RN9heGyDn38vL/0buJqzZJJqaosbSku05r5w+Gzp7YGB4kBarq0Ttqy+ODD5v\nWWFuOtpSAA+NzNeFgiEwKSoIsp9aTMSUyRa/uiPrAYL7+CQP5ufdz3+Z9evqhkXk9ObvoUt/8BN3\nvTMzLGO4zL5OTVnWh2b7Wq0+I0y3HX2IIk983uXyqceFMj1NN+3e+g2buy+RQRifu0O99Rvuvozo\nf6D5hSp9+V9/2pJZUTPyKkviEVNwnpD5e3kqSZJ4iZ1qZSl0g8JHCe7N38Ms8VRc2FS0btTQ0EgM\nlpze3BFks2KWMNXqYZdlcFZEngzZlKnFRRE2DRw0iad+CaXnZUQw9+bvoeVTjxtZUYmYFVwKc9Lo\nz8rps1xWbq8YeTN06dKA2m1H/XE2nIZFBG/ll4W1myawtCWebMQZU6nGRMzSgEGGXiOK6+dI8kDk\nIIzMepeWkolzKegjb/1lyrhWi4a6j+C+yHU536UjY221zDKQpxozX7LuFz6hCQ3Jy6WlTA9r01R+\n7gNwf1r1pV2SJPF4JJadxYCKAeaD9Nn3noz6Gepd5eRdaGhojMDGhsCNaoKANVo5fdZ+b0ZzOQnX\nMxUCaWexYZF1UKNJPPVLYD0vC4LZY9PFZ6dNLG5ScxgMPdX4Sc7n12RJhcznbG08N3fcm1qB/PCt\nJ6D80ASWHeMYE082cjWmMjRgSGKsiay+0qhXCF5mGc+5t92ktTVmiWcjTNfXmcVenOfNv0szEVJ5\nkhpnzlBnboEAssIydLd241sARmibDMJ4dCiculEOEbDunnebO9S9/kKgeac8iQdgDsCG4Vr7C8e1\nrwN4RXadKpRUSLwxsu4KtWgZmXNVeC6RF9s8WEVqaGiMhqJyOqhscgXb5/vlpZSl2eesyTsOMpV3\nTeKpXwLreWmPUZH+YFiQLJ963B7XqVZzx2gK2l4zi9/581Z9ve0mrdU3qP1XrL52e2gVUrVi4iVE\nOIjabbRn5fRZuyxaWrJvagXPTNjnIDqXx/Njrs2CbLyLizE6nSMouhbmGXkgRdNsY1YEpxLEagrz\ny+tdMrfaIYnX6fTlWACGgKesj9F/d3+DlyAHUnkg8e6AS2AhuH4DwN/JrjfrkjiJl6WZcgYIbT5+\n7g4RZf9cYrlSjNk71tAoHBSew2Fl0+XL3v2yIe0+Z3zgkZTyrkk89UtaHheh4WMZ1+s55mSzaSPh\nzPsDzan19WEMIOM7ZnwofjPX227SWuUqraAs3sw3Gok+jsAkgqPfrj4HlSFxSdQiQuG1MLdQiRRV\nJPlBVu7rqrjNJ2J9GEDHqZYP0Yc+tE0VI1RMrXaIyfX1derVp8XWi3EOrESuztdf4Prs8Hr5wG+E\nr1swv6rVw3Th5FlBiJxoY1ppEg/ATYO8uwOW6MJF4hn3DQB8SWbdWZdRyl2v16Pl5WXqRZFcY2il\nFWijVKlTZ26BWeIZjzXr5+Lf7joBJapWp7wnvUqLtIZ0xJIDGmojoJzubW/T8uQk9ba3U21eUPLp\n7t0DAph7hle/LGS1NmW4QZShvIvkgCbx1C+J6nmyEHVOBp1TvJVFs2m5VZlx8GqVOjUqFVbh+ro4\nw2PYeenh+spbztlikpYng2+4uH67yM4wMsRyb9um5VOnqHX4Huu3XMHxC6SrCzGGexYeicgB1UhR\nR31ZkVrqWuJVqFyuUqvVlW6Jl3SfY8WIm5gYxhGUOde575v9v/u917m9tSP+dHkmXPxpv/m1sUGN\nxUUKGyInDT1PtoJzB8DT/N8e9/20aNZ4o5S7brdLAKhrG9UBoZD7UBbwPGlYXFT6ubjbXSFmhnwq\n5PfUM5ePjDEfy7HkgEb6CDNez593ZSET3WuNgevXE2lyEHjJmONHj4Y7PMhyPmd04CFDgRbJAU3i\nqV8S1fNkIc6cDDqnuPtKqHEbKU5fWVqyfjYWOcbV57LE4IihuF4QjYmJYdynqGRjs0nd6WkCQNXy\npPX8TNczPji+FNJFVX1K1XalBOlyQFVS1EGsmNa4jNBP3700q72Td1buZNaCpAnT4DHi6hZpxhvX\nhDoIDgPjd9bO3QnX//qI+Kej5pdhgd5YXLSSl5iHVn5Jk9LQ82QrOG87/vYi8f4bgL7MurMuQU5o\n19bW4p/MpLU4qrII59UyTWiWO0UPvP/91JufFz7bzOMrpAFVlZGUIE0OaKSDBMZr5mPAQ6YeP3o0\nd4cHgZT2BNeyqJsG0RjQJJ76JUs9j/2+R8w2ifpXkDHd65FBTFU58s6xmeP0lXbbITMlEXk8Odjb\nZkktOps7oXWoRqMh7nOjEVp+rNx7r/FbFe63yiyDo2zduUj6lCp7DgmQvsZn8WyCJn5pNolmZhjB\nYegTjNhPWZfIaq/oUe/K6dO0Vq8n4nGR5n4xToy4Uuma/OffbNJKzcx6bq49bks8oE4XTp6l7vy9\nzBLPD+ZY58a8Ob/2N1ncvd6154mOHKHOFZbYwrQCFCZNMpCGnidbwfkxgMPc3y4SD8CnDXfan8is\nO+uSWqyUtBZtFZQD1czHgyJCu1WJr5AK8vpeNcYTRRqvjraaGc3u3j3IzeFBaAVW4EohZS2TvGnQ\nJJ76JUs9jyhGzLYRCJP0ptUi+uM/HoTSV1ZXJZGPXH/93HSDEpGB5Mjmjmsj6HwPvR6zsuvMLRjW\nfBLkaFDixiBRTCvw3K5PKuw5NIYQPGev8deoiUm7UmkiHTItKx1NAd0wUetDoTGKf4w4O7k2Ia0t\nNnktlLFmnTPR63a+r6Y92zn/d9Woz0qaZMaKHQHVSbwnAHyL+/uO47pJ4A0A3JRZd9YlNeWOKD3B\nkaWAyuuCHrHdY2OJZyKvFpYa44kijFeBbLp8OfhGXJXDg0gHHrLXsgTWRk3iqV+y1POIJLileiBa\nDKTR5dKlgXx9pclcXz0t5wLK6tByhHPJcs730O5da8H6GViXnJlh1lAy1icFQiQU4sAsC8h+d47n\nzY+/IMR1pcKsovb2+qz+JN5fWnvFEcmDbPVu7Q6fbQr75ET00hFzcUgeThjv3BwDyexdw69R1wiY\noFLpGrVagjioXmOf7/fGBnU2d2z9Xvnt3yFgjes3Fz4igCxUmsQjpuT8JYBfAPgWgLcBfA0s4cUv\nAPQNAu9tAHOy686ypKrcEaW3qcxq85pX03oJ7S50TDwO49JPqcjrvCgAcj9eBWNnf58Rea1Wfg4P\nIh94yFrLEto0aBJP/ZKVnjfK8iwuwlriieXF0I0JqNLyqceTC+buZe3mSHbmRwIF/j2HRa9IfvTm\n72GEhuxD2BCklrT1KesD9CIcmGWFJN4ddy8//iIT17LHTVo6sbPdGxuuBA69HiP0e/P3uAg/6bp4\nkoR3kHHUZBaYZVyJPg5CPBPxGnUtfN1BnotABsnKUqs8iUdM0fmKEfduICg3i0bgGX1OV7mj9DaV\nud+8BoUKBEnBFZixsziUjawV7DFDYcerQNatnD5LcU4Ys0DYtUnKWpbQOqFJPPWLFD0v7Pg5f97f\n8kwy3Fn4xDHd3HOJuReVShOJ6CtRLHCDZuX1fL4OojSI/JCuL/vohJmRh+fPD114m0NvkrU1djBk\nG8umDAwhC8dmz5EEkiB3mu7ELyu1+sixV63O0KVLA2q3k43jmRpUsRT12wdcf8Em2+jIEeptN8Pp\nJ6PWKK7+1qvMUu3u3QOPrOBszOztcTIo5nMSWwGKYrOyz+5+7/XgWWpddYSPBehnaZ0LEs/6ceB9\nhovtEwA+CGDe+PxwkvVmUdIi8dLaVBZ28+qHrAkSVRaIBDFWsf+SwhiME1VQ2PEq2MhasT6MrFth\nY32kjoAHHnlZyzSJp36RoucF1DNsiRqCWIoZ4zZW8otmk7ll1mrDDbsou2qzSVSvUwMwNm5kuc51\n5hbYdcnrUGjLuV4Act3L0rF2yHLNDUWUbe1Sb/4e6YewXqTWA+//TnLrk598Ndx3+WDu5hhutbix\nbD5fQdB3J/Iip3MBycYAvolfaMxIV69nu7jI5gT3bBMzAnGSbBsbQ6Ju20HcbTepe/0F+5x0yL5Q\ncHyPX7vE46Aqf39y/rx9jarU6TdRIfchNKu7Vp4MNPZjZeUtkiXeyEqBZhb1JtwnX+Wu3+/TrVu3\nqN/vu99qCKS1qSzs5nUUEiRIfMdA1gRiShh3RU2WHCi6xaYqSGK8ShsDceHYYJmxP+7ePWAyzyfr\nVuYIIadVXMtEY0CTeOoXaXpegPG7Vt+ING4jJ7/g72s2qTO3YLXJat/cApMH9TqrZH3dura3x/7t\nbu3afieJGFhSLBMFbXO9Bwof7+7Zz/3fdOuFF+hdI4thVN0xyNpTrc7Q3l6f9vb6VK3OSNenfMkZ\nyeuHinI6KlRY4+MSa2ETv6ycPqtGPMYUPKo8n22tZtXd7/fpjTduEdBPfg/ncyhrvkMpOp2zHgF5\nuHL6LJVwlQCWpZhlKjaItMVFqbH6bP1yHD7xJF7QsR8tNqz3b6eh50VVZDYAPB+xfNdwq/143Mar\nVEYpd91ulwBQ1zabw0Nb4qWAhAgS3zGggitvyhir0zsDsuQA0Xg+vywh63nLHAOxsb5OVCpRY2nJ\nFvsDIOrO3+tyy1CCyAt54NHbbiq3lonGgCbx1C9S9bwReoZt3AaMAUfkk/zCT8dwuhk1m9T9/JcJ\nIFo+9fiwfeVJajAhYVnnmnOv3Ra7W0nVV7ws56LECBQ8D6FFpBnA/w+/JIiHxKwxquUZ6z20/2qL\nAFDrtW1PmRSknWE3lMwqL/76FEr3Ny0Pl5aMZ0NkurDVUGWW3AH7W6Q9R1ZrvMxnGIVUlZ0wiiiC\nMUNCBhGBni0nj9vtrjEfu5kkgzRJ9QsnOXI15Jx0QZDcw0kKms86KpEWuI98TEIje3j7r3bpmdqL\nnBwKN/YDvWNU6cLJs3aPFQ9uIA09L6oi8/cQx7sLU16J23iVShDl7tixY1KFuo6JlxyS6HMSYyC3\nGFNLsrhjILeKbt5JaonjVSk5sLFBjaUlh6ybIGCNVk6ftd+rynuJMZZUWctEY0CTeOoX2XpeoPE4\nyvIsKLHlt7n1iKPEiKGyu97FRes3sspcSiQ/W69nXwy4ZSUjrC584DctwrI7P0/H3vteare7sZ5L\nJDJNwvoUnzysk+dYDghV5HRUZLXGy7RmDOS+jiqzxOsO749LlknxhpLxGw6EfbYfvud/IaBEQNcW\nw5LPZmtrrwxZKdBTYxNpDn3LJSONg2BaX6fedpP2nnuBew4CIk0QAiJM3/h1qjd9mNZq1y1rQFlj\nn8hHBi0tEVGwMZWGnhdVkfk6hkkqbnDl28bnu47P+fL3AH4M4Om4jVepjFLuhIiyGTG/w01WZkZP\nVK3O2BdtGYJhjMiW3BIkeUMCC+y4ILcuJwmdjqaCAo7Xwsi6UWsof319nWhqilZOn6Vy+Zp7LVtf\nz5Sk1CReqvpapORqkfQ8B6KQM0EIukAupmZCAocsu3RpYFnQWTHgNnc8ApUnJBtCWgrSxkZ01+Eo\nMHVhCVZnYRHIrVXS+hTGjfef/7lPlco82WNE/ZLxL4shVa0eplYrxFgZoz2HbCSyrvvJFs591Kxf\nCqEvYwxIHkdhni2LIeo+/LBiiyao87IEZVUakunhLdJscLTPJXM3NpjuNDNDD5S/mdz+RLA+8OtZ\nrzcM6VDCdWKH0Q65VZoSJ1ox+2mOUdHYccj4qPsXVUi89wG4Kfh8A8CXA3x/F8BvxW28SiWSchdl\nY9tsDoPKGt8zB+7eHrdoO+6JhAJuXv2QW4IkT8gzmaMAck2+5FGeFHS8FkbWjXo/5vUvfME6Lebd\nPayxx50mZwVN4iWqn81zXiB9AL9mfP6QqbcG1F1jk3ih5965O9Z3nZZntqQLXtYy/HqwPdQN7dYa\nzG2WjhwJHQPOVzaEOag2SPagloLmxi1yEo8wcMiZCyfPchtkIqeVRhJ1+yaYSGh9kpVQI/A6kkcd\nQVFIsWbknrdX4pdMiOsUfyP475Zp+dTjvrq5mfxnb68vJUurCX5fYB5QStXtuHaK4oZSs0mNWo0Y\nccmTh+L1qNXq0+XLLJO1q56wslsgH0slMeksJFEd/fOUQZs7tntDZ/w1oASJR0yZcZ1kAtgN+N2v\noGDJLSIrd2EXrbRIvIJuXv2Qa4IkL8i7W6VCyKXLSd5O2Qs6Xgsl60atoV/4Alu4vvAF23UX0Zdx\nAg9N4iWqn30dwGHB5z/m/r8L4P4Rv5OOJZ4g1h2RWweLRLhZGy5+7WDrR+PMGXtW3LiyIawe6ZiD\nSpA43KbNfG9mPCRXhkKHe6Gsuj2fh8OykigdayiTPG61zGchwRJv1FhxeCF5krhR+lo0SLRk4+/1\nInDCxD30c1eXoZckrtt4PNuwxPYD7/+ONFkW9mCoVLoWnkhrMotMPmv5yspFdog0t+B5iGQn9crU\nOHNGOpfgtReykmoYVnR8siZhvSnwHsqQeMIf4xSiEfdtAHhbZt1Zl1jKXRiBm5Y7rczNaw43wrkk\nSDTGB3kjwzgUem5pWZcN/ObD1BQj8FyntddY3D+Bm14W0Gf6C/oAACAASURBVCReovrZHbDwLw9x\nn30FXGxmAE8D+O6I34lN4vHwnHuLi0IZ7pQlVtKFhz8pcH2dJuAKVasz1On0qd1mySc6mztUK004\n7iUC6lRCzUYeyrbmIQp4UJ322uYnt9dvEDUzyHKd5UF6iHfmHiMRY+KNWjudm22RO7Wg7WMHWdaM\nARO/WL/pXDcjfF/GHEt0nvo8W0sWhyS0ZGA0cWm3jls5fTb03Gk0GoK1YC3Us37gV/8T0ZFhJus4\nhzPB3P7ZYcve95u0Uqsba6QRjkJkSZqC/q46ifcGRmSdBXAfgLcB/ERm3VmXuMpdFGUpN5uvvFn1\n5Zgg0RgDyFLSUkShLL/8oGVdZhi1Hqq+XmoSL1H97GnD0m4AYMP47NsAnufueWLUQbRUEk/m3Ftf\np4Y1duxkyvLyvyGiiG68stoXsq+pz9UAcjvIJl3qGpbVgZD5LM6ft+o3n4UrA7Hpmr24mE6cwBzq\nPqkiYf1jlCXdqLaMsuRT2hIvxLMN41oqW+cVy86qa04GIdJGP8sJqpZn6O7dA4Mwc8ehs1yIv990\nZbKOo2uGXc8Y4ehYT8JmNJcA1Um8DxoE3decrgsA5gxF6m1DkXLF1MtziaLcRRE2ud0M52XxzUs7\nNcYTeSOJDBQmBlsQ5EWG5KWdPgikZFYP+yqZqqyXmsRLRU970NA/5wB81yT0jGsPjfIQ4fW8n/3s\nZ9Rut6nb7brKwcGB9X8hmiyLaXdri/r9vnDu9YzrPY9BORgMWB1bW5YrKu/uVC3PENClve//gPr9\nPvW2m9Se+2Xa+37T2FjVCWD3AD3i3R/3vs/uPdjaoW63S3t7HU/ZYPaz3+8L29nr9ajb7dLK6dOC\nzSXoq6dPU7fbpXa76zOX6wRUqFqdEs5Vs45eryckvw4OBnT5MqvD+R7o0UdZP7a2qDs/T/3XX6de\njyX74Pvc296m7vQ09T7/eU+ScfnUKd+MpEGf1ch3nmQdzz/PnoU5rppDt9V2m63PrRYbd/3paaIP\nfYioVKLOlXUCiO7ePSCgR3vf/wH15ueFYQpi9cMYeyunT1O1OkVAT0gGpPKsVKtjfV1I/K6u9qjd\ndtTBEb+J9YOTE1/96leN99X1jKnH1+E3x4I+K7/fCP0+DLnC1+EVk7M7PW1kpx2G7rCXHid33Tpv\n5PdhHpYsLVEVFQK6VK1OWTE8O1fWhde9iLTLl7tGO4P2Y831rJ/81GMEMNku832Yul+73TPGVcWl\n+1Uq8/TMM30ql+cIqNGQVLVnym23BfODQ5T3YbbbLO12m1qtFv385z+XqucloSQ9gWHw4F8A+Inx\nbx/DwMJ3ZNebdRlF4nW7XVpYWLANgigb21xvhlW3+kiYIBGNAY3xQuwxkEN3TaIcHz5EhY+s687P\n08LcXLZyIKdksBPhT2PVWC9FckCTeJH0rqfBwrOIyoMe39k1yLybDhIvlCWeX3nyyScJAC0sLLhf\nvjGnjr33vQSAbt26JZx7a+fOWRscEW7fvs3qAIYJWZpNK+4P27gcIwB09tgxlrTi4286xvya0eZl\n4Xy4cOG21Q8v2cD3w4lej+jyZVZHuWxahDhdnuoEgA4dWvCZm8eMdt4SztW1NVbH8vKyUGa99daw\nH872myST1Y+ZGSsAOi+314w4gssf+YhQtn/2Yx9jdRw+7LnGHzt2zPNZufrh985F4yqJOjwOehb/\ne+NZPfqoK2FQqzUcV8unTgljHcbtx5AMMMeu21Iz9WfFgZfvuXvnsuto8tltQcACeVlCWXW88IJH\n3Ln3B5OJ3Nh1/sYvzc4O65D9rBwy8fDhw8SIssMO2Ve1ZKIoNp1Vx/S0sA22Z2W+D4c8u/QHnzPW\nogvD9WX+XmosLRnvoWJbs0RWzmYdzeZfe+jtJVbHJ09Sd/5eWvnAb9hi5pky8dDkEWq1vHR/WHWI\ndP+g78NNDq75rh+idVDm/DDbPaKoR+IRU3TeB+AvOdKOLzchSIqR9xKExANgW9jHyhLPgNIuTVEJ\nkoDfs8bA9evSm66RD4jkwLhBaRkgEX6njpmPgZySwU7k1RJPJAc0iZearnYTLKzLl8HFwANLfvGt\nEd/1tcRrtVoEgN59913vk3tj7vEn9665t7HBLL+2tqhnEHTOewY7O8ya7w//0JbVdUhAmVZ2k0y+\nLi6yhARXN6gzt2Bk8JukoSWFMR9KE1ZyhoODgWUl5yUbuteve1roMJLdbXViLwPjepcuX5ZgiWe0\niyeN2m3Whr29jvA6bxn51dOnOZk9lNsr1Sp1r15l1mUC6+XBYEDdrS1qzc15yvdcWn4JyJBqaYKW\nP/IR6tfrFoFsjs/9fYfll7l+xLT8csv6ijEuuLHLyXJz7GZhJcfL91y+cwl12N5Xpc69ry45LaHM\n+WxaFvc95liv12Mykbsu7MfWFpOJxtg0f4MRZl1q/5W9Dn5sRn5WDutkcy0AuoZM5nVBRqCtnD4t\nPMCxZPvWVrD3wcszY66ZMq/d7tH+PtHly0StV3cMV9Yq9y7qnnqQzTJSGBMPtFytUm962lMmXv7s\n/2XUI5L9ZMl+09rPOpwx+jLyfRjPavnUKRtZu3L6rJWgaWipl64lnjkGWq1WfizxXBUwQu8hjMj6\nlfcyisQbDAZ0+/ZtGgwG9gvGhHNv+K6QK/ClYzOVl81w3onHkQho1TLY2aHbhw/TYGcng0ZqqABP\nOTAuUN0aNyaCBdudon/4h3+k/f1B/mSdCA5C0DduToKEYJ5i4onkgCbxEtPN5gDMc3/zxN0d/nMA\nvzbit6LpeWERRKfY2LCsLnrXnuc2LDOG/jhnjPNZsjKnXlmn7vy91Ns2dU43WdWo1aTJ4ai6n8yE\nGkHWGj7eHSM369xzMdpZnnRlDLbeyfUXhm6chp53sLWTu0MRL6ggO/PkhTT2eh5FfF8yPAQcFmmM\nVGO/waxEE8pK79CDBoMB/Zf/cpue/dxPWCw4Xg6hSo33vldakodRh7JS5k7TnZ22ceaMFRdz6BJt\nf1+2WKKu5EvDpBt7e9waEPQZBAwJ4ym/Eo6Jl4ael7mCVZQySrnzRLM5DA7LTXKAnah6pj7O0WY4\nT4tvZBQgvpSGRqIYgzkyFrLOCVdcG7sS53VfEm3wXA8NRV3l9VKTeInpZk+AxWLeMKzvDnPXHjQ+\nfxrAlwL8ltTstL4IIS+jJq0QuY06N2WyEJgIkqjbBq0zqty2NsrbAsu+6y+EIx8Ug2qH76q1R8Mf\nkd6XDA8B/jeM+dbbZjKy1XLI0PV1mxWzdHjJ8M0dKzadjCQPoxB77nD9sK1D5rPmrvu9r8biokAe\nV6PtA8IQvjMz1KjVhgRkeZI964Dtlnnookk8RYsMEo+fINagdly3vpOjzfDYLL45IlY1NFKFjBPW\nHGBsZJ0TXkqe4HqSdRMJ1sP1dStuk/C6ImNOk3jql1RJPKLAOoUldzZ3qGRtjGYNucMs8UqoMTfZ\nrV3qzd9jbVysBA6bO8M6Z2ao9/kvytvUBNWNJOi2YWXw/j5L2LC31+cSfpjPznx+RsKPvT612z5W\nxjnSy0dB5QMpFSwDNYLDyxWz0WgkX3lW+7IROm9WYzh0vVEPaZ2EbJNlp33g/d+hapm9h5KxLgFE\nNdSosbREvfl7aO3cHSt8mC0btrnuNJtWQiIeXolGaGaG6Px5F4nKE5Ddrd1U9iOaxFO0RFLu+AFi\n/H/kyWjON8NFX3xz2b+CxMfSUBhZjLGMx3UuZUEcNAXuFoIMdLLr9F0PzesC1xrV1ktN4qlfUifx\nKJgc4YmrkSSe4U5rwpoP8/faLcnm7/WeJ+fPB5etDmsXT3JL4NYWZa6GJZ9OnAh3vy9ZVaCDXGUP\npAr0jMcGTt2gUk/clZFHJroYr38a/7di07X6XNiDafucqtSpc3UjmTkVZe5EDZci4DdMomxvr8+9\nB0eMvY/8riXzLfm/tevtlRigv0IC0tE+MyFU0ocumsRTtERS7hyTgwmasjGxHYLGnByCCbW6yorS\nhAsXv4UXIOXyNVo5fdZ9GqtKuwNAWWUnKHJODGtoCJHluB7DjYbnaXtQZT0K6TrqO07Xmo0NZQ8o\nNImnfkmLxOut32BxhIQ6xTUCJoY6xdYurX78R5GJKC+XUN9YTUFlq8MK1vO+ZtMWiN7VthBzNYol\nnj0AP38/EVBnBKgjHp4XRhIGOTw0VeZAqmDWjmMB7p3Y3lfC70qpfZnR17Vzd+QdGERsQ6pzx7SC\nM4yQTHfmn//8wJKtrpjRXIw8y/15biE8gUc0moDk9XRnrL+wh1UBZbUm8RQtUZW7UILm+gu2E1Si\nEaatCiz+FjxcmvwsJvICld0OAkMrRxpFRFaKy5jMpUDrlyMDnSfydJiQwEZck3jql7RIvLCbvdXP\n3hEED7db4tUq9dFEVJjDhyByThIxFxWhyKdmkxq1muN+9h1n/CQnQunxnDuzidByLk0iUJUDqTyt\nDxoMfpZQgusyEXZftrqasFxqMndS83CmWj3MyWdOTgTVl0LWndncOX/eivlfLl8L9U6AbzJ5U6kn\nJm9814gEnpsm8RQto5S7Xq9Hy8vLrhTGoQmgun3xTj3+UBQICDpzItjaLji1zQOCKnCtVpeeemqZ\n9vdVM8UzoIqyVmB4yQGNBJHmuA6w6Pd6PVo+dYp68/O5n1PSDzDyQoDGVO5EckCTeOqXqHpeWNgy\n+nlYh9lIue2hjtWYmDDGUN2614o/FWD+hCW+IsnWNEiosIRklARzBuxysEfAsvGvhxw0EotElnNp\nbcpVksc5smDUeh4Jx4ZnzLIExlDYA8Z2W+78EY4BTiaZseCGcjpB61ZlQstMcH2uCt+Jfd2aSOTZ\nxDl0CSMD09DzMleKilJGKXfdbpcAUNdhMhfa5JdzeWg0GnblJOn4Q1EhyBa0cvoslUrX3IrV+rpa\nFoQh4acAe40BlaCM20RBkYcxUEQkNq6dytHGhpUJzVy3be5qGxvDMbC1lWtZRyTZEs9EXg4TYmxw\nRXJAk3jql6h6Hm1suFxzPEOhNJvsXkO2eFmHHS+Vhr/HhSsxdUMWc4moWj5kd2kXbNLiuJ5Fkq1J\nk1CG9Ydzbl66NBgGSeeJuQ9/ONz9Ps+vWp1ykKgezy+unEuaYNOWb5Gh9TwSEkeeSJh09ZRRtVpi\n88drDLjbwuREqTRBjcVFV2ZwVYnqUQiypjCSbsb4bIbsSYVmHf+vU7U6YwuDEPW5RM3mHlZWp6Hn\nZa4UFaUEOaFdW1vzPZkJrAw1m9xpa8T4QxmicESRI81248yZoQJdnbEmem97m9bOnaOeYpaGSsWO\nKDiCyAENOUhlXEfY6CQyBhSwUogdE4//rbysERE34qIxoEk89UtkPY+z9DLHBO+NYHMvcyYym5mh\n46WSi8SzzQeBHAoTfyqK61ls2ZoUCRX2Wdfrro1zHLJq5fRpYw5XRsqu2HIuyQMPBdaUvELreQrB\nb44IrG9DzR+fObK/PxwDlmX11Q2BZTUjqiqVWZZ4aHqeetOHXbIrb8R52DUlbLl8OfpzibI3iCKr\n09DzMleKilJix0oJsBjbBp5LECToTy8BhSaKBEqjmX1nb6/veY8qKERMPw0NB1Ib1yq4HKlgNdGM\nl502V2sEp7y7XUUm3ASLjolXiBJLz3PoAHxcYIto4673tlmG2M7mjjGn6py8MuYDqtS5su7KOEsU\nLv5U2Lm3uipJtiZBQjkOVU3d+dKlgVsuz8wwKzxZZFVYPV6CnMvNgYeGRtoIoJu5LZ1DzJ+Aelfo\nhBa16651QrmQIiMQRM5VqzNWkotS6QiNtMTDBCM6uzRMehHzufjJzyR0Uk3iKVpiK3cBNoGZZraJ\niUITRTkn8XK1edbQCIhUx3WSFhEh25AJmcj9dtQ4rXlaI2wEizW2HIkEaoeYwikgWETQJJ76Rcph\n7cwMNWo1KpUmrLFcQo25dnEWeGv1jVjzwTP+1AhCOQgpJFO2JkpCpSmXU9Tjtc6moTECPgRbux3A\nICbo/Akw762EFkJLvGkCrthcRXvbxjqxuKh2SJGA8A8zxd7J8qnHBfc47l9akivPR6wPSXAumsRT\ntERW7kJYUPCZbfK2cBda6QjoTmvdo7DbgT7V1Sgi0hjXSsydLMhExxrmmzHd18U0P2tEEoSjJvHU\nL7FJPBLJCYGsMGJr2jeaEwRcc8+HzR3qXn9BznyIID+iuRmlN9dTkcsp6/F5OvDQ0MgEPq6u0iyJ\nTYSQm0HlkRL6pAzwz6Y86Xo2ve0mrZ27Q735e9g9hidHCVUr+QefnbaxtCTnuYQhX7UlXvFLZOUu\nYtwJz/hDjUbwujNCroXTiPeV676pYE2koSEbCY7rzIgnHzm0cvpsujLI0RbP9Yso8CGG6nLUeu+b\nO1SzTowdlnioWq4fWSh3uqij5/V6zPpjb69P1ephsrsNmWOmTpXKLO3t9and5sZM0ycGskx9L4ol\nb0TZmjQJlbpcjqrHR5RzeTrw0NBQDUnMn0BzeYS8tB3cFGFeB1lTHDFgO3ML1j3m/a3D72Fkmk3f\nivFcIoSfkaWTahJP0SLjhDYUnPGHKvVcJLXIPVEkmPxmavK9vRwL3ixd8TQ0kkLC4zoziwhHu3s9\nolaL1cFIghzKIBNB1whFAq8fP3rUUMjMmGV1AkDHjx4N9TuaxFO/RNXzogT5Xlsj+yai0RjOB9n6\nXoRNTRzZmjQJlQtLNUm6sOoHHhoaKiPO/Aklx7Z2qTd/j6+8jBtCQSkEWVN4Es/Irt7d2rXuMe+/\n/FnJbq1hdcfz56XxFprEU7SMUu76/T7dunWL+v2+61poeMUfUp1oKQpR5GinGTB5dOkTcIuefVbC\nGJCJKAq8RiRIlQMa/khhXEfZjEobA1y7c7FpDYIwa0SGciuuJZ5oDGgST/0SVc+LZIm37R63iel7\nETc1MuZeEiRUlpZqgeS7LF0474fiBYXW83KCmPPHX+9i+z32r6F3nbtjfVckL8WxdnN6GBtkTeFD\nUT36KHNh5e4ZZvrlsvum/VxiyOo09LzMlaKilFHKXbfbJQDUdQUKCgnHgAmTgSxTFI0o4oT/MP7d\nYcOHXyxg9vY6BIDa7ZhjQDYUsWgZB0iTAxqjkfK4DroZlToGDDm0cvqsQQ6QQRDkUPlL2RooDuKS\npqIxoEk89YsMPS9QTDyPcauMvidLtqZAQqVtqTZyDMjShYtyKF5AaD0vB5Awf/wPC5hFfrU6RZ2r\nG8wSr2f/rp+81Ba2YqT6XGLK6jT0vMyVoqKUIMrdsWPH4gl1wUDxzECm2uJdQKLIS5h4CZhIY6CA\nz22cIUUOaKiHEJtR4RiIMc+95VDOlL+ozyADa5S42WlFY0CTeOqX2Hqe4T40MjutYC4QRc84qyTS\nIKEykA0jx4AMna5oh+IFg9bzFEcC88eth1UIAC2fOhW5fdrC1oG0n0tMWZ2Gnpe5UlSUkkpMvEcf\nZX7jHDwH1Po6u19DKoK4aZRKE1SpsA2dKzttWGhlTUNDbcjYjIac50ECIJsx2qrVw7Ry+my28iHh\nw4jUT625/gzrNkmZCbdVVYD+aBJP/RJLzzMIPJOoM+WEJSsc1wuNNPSaIluq6cNdDY3okD1/ZJJL\nRZZbcVCQ56JJPEVLKiSeJnQyR1g3qkuXBuyLWhnV0CgeZMrkEPM8kjtnlnIigbVLiQyNEpV3TeKp\nXyLreQKCzhz/LvfYcSDykiahtK6soaGRBmTuz7TcEqNAz0WTeIqW1LLTakInUwTdOO7tsffSbnNf\nlkDkafNqDQ2FkNGJbhA5ZMbIa7W4tihE5MVduzJP5iG5P5rEU79E1vM2NlgyCG4s9HpEq6usuNxj\nz5/X1lNxoC3VNDQ0koZscknLLTEK9Fw0iadoSY3EI9KEjiLwc+FKQsDoQKcaGhGQMwUg7Dz3un/l\n9Fn1+ihx7crUEi+Bk2FN4qlfUtXzNDQ0NDTURc50S43soUk8RUuiyp1AULCNW5mAK/aN3tKSGoKi\n6IGZUyJSlXAZ09DIM3Jgih95nuflQCeBGHI8soyJZyKu8q5JPPWLJvE0NDQ0NDQ0okC2nleGhvq4\n/37gM59B//VdHBwA+/sD3Nx+A8AEgGeNm2oAqrj5f/wd9n/jt3BwAPT72TXZbDN2d20fDwbAlSvs\nXwDs+mc+w+7PC8w2/8Vf4KVXX8Xe3h4AYG9vDy+9+irwF38h7HsUXL0KTEwA9XoZBwctAAcA3jWu\nvgvgAAcHLdTrZUxMsPs1NDQ4PPKIa04ODAFk/svPaTzySOpNjDTPU5RDcdE/fj8Ofv8c9n/QNNau\nKoBJ4+okgCpubr+B/R80cfD759A/HmI92N3FS2++icaZM6jVJgAAtdoEGmfO4KU330ym/888A7z1\nVrDffuQRtr7duCG/HRoaGhoaGhoaGuOHuCygLsFOaLvdLi0sLERPOd5s0lp9I9sYQBHa7LQGscUN\nymP8vhhWPVHGgLbEKxZiywGN6FDEak00BkLP8231rQt5JBa/LssYsY7fFj5/jzaIxoC2xFO/JK7n\naeQeegxo6DGgoceARhp6nrbESxE///nPo3/5kUew+r/dj+78e9DZbKJUmgQwxd1wCEANtdo0Op0B\nul1gdTVmg+PCYQFz8eJFzM7OAgBmp6dx8dSpzCxfIuOtt1xtLpeBtTX2rwWz72+9Zft62DFQqQC1\nGjA5WcZTn3wYQA/MSgfGvz089cmHMTlZRq3G7tdQG7HkgEZ0PPIILn70o3j5tddwcNAFABwcdPHy\na6/h4kc/mqocco6B0PP8H+PJobSxugp0u0Bns4kaamCW44eNq4cB1FBDDZ3NZvC1S2A9WTY6b/4r\nssKUBsdvu6w7PdpoQsuBYkK/Vw09BjT0GNDQY0Aj8TEQlwXUJdgJ7WAwoNu3b9NgMHBdC4VmkxoT\nE474P6R2kgNhm432Nhre3ytY0NBYY0ARKyKNeJAmBzQCQzVrVt8xIJrn5UkW69SY554y0Py+4nLw\n+NGjxlpQN95BnQDQ8aNHw/2QKuuDsb7VKvWhXG40fK0ARWNAW+KpX1LT8zRyCz0GNPQY0NBjQCMN\nPa9ETDHRiIlSqTQN4B0AeOeddzA9PS319/t9FkduMBhg9tAhHAz6YNYMZtykKZRKA7QPH0b5z/8c\n5U88nLlVlq3N09M46PcwbPMhAAeo1Sawt7eHcrmMctlhSSawYjg4YLGjul1mueJ1X6Hg6N/+/gD1\nehmdzgCTk+Xi919DIwaee47F4QyKtTX2ndThNc83m5j8n/8AePpp4MUXcfBnr2DiUw/bZaDg+yrB\nWguaTcyeOmnYGE4B+BcwS7w2agD2Nn+A8ic+4V4LFMbFixfx8ssvg8X5OwBb43poTEzgpc3NwO+i\n1WphZmbG/HOGiFqJNFgjMpLW8zQ0NDQ0NDSKCdl6nnanzQlsgc8HHdgDnwNAG0T7qN/9/zDxqYdx\n9fM/zailQ9ja3G8jdFKGHASkTxxZu4xpaOQclitnZ4BabRqMZDlkXFUkDIHfPP/EJ9jnL74IPP00\nBp/9LIDgbpsqwFoLTn0CBzgAWwv+xbj6LwAOcIAD1E99IhcJevp9DJNM3fxTMALPZFSNJFP9MvZP\nPJR9kikNDQ0NDQ0NDY1CQZN4OcHqKtDdegOduXtRK9dh34gCwNRwI7r1BlZ/8JHMCR3b5rkyhUib\nZ46guvjYY8OYerOzuPjYY0pvXKUgZgw+DY1xRy7iSo6a58b8vvjcc5g1stDOzs7i4sWLyhN4ALD6\nkV0rnuuQSHXExKtNs5h48+/B6kfUPowIlE2439ZZwzU0NDQ0NDQ0NKRDk3g5QaUC1P7Pf8DkM/8W\nT1UJ9o3oNwF08dRTX2Qb0U8+jMorf545oWNtnv/2h3iqMoBw82y22W/zrFBA+kRx44aLeO1/7Rk8\n978/YrPkqFSA5/7HXVT+3Q379x95BHjmmRQaqqGRQ+zu4qU330TjzBnUahMAgFptAo0zZ/DSm29m\ne+jxzDMuOVapMLdeUy5e/MEP8HK3a4RSMGTgyy/nIkFQ5R/fQu2VP8PkyU9wROq+cXUfFpF68hOo\nvfJnLHGHwghk3VmZUifJlIaGhoaGhoaGRmGgSbw84f77gRdfxEubm2g0GsONaOV5NCaqeOnkyeG9\nqhA6hpWIu81VFjOIb7MDNpel7TcgdFnafgP7+4NiuCzdf7/LJXYwYPG8eM85y/Lm/vvTb6OGRh7B\nWau99Oqr2DOs2fb29vDSq68q645eGLdNk6S0EalVAECtUraI1P7ru+zQ4muCtWt3lx10KACbdedT\nX4TwgKoywOTf/lBnDdfQ0NDQ0NDQ0JCLuJkxdAmWtazX69Hy8jL1nGnzBBn22P2OLHvNJtHMDNH5\n89Y9nU6fAPavXya8zCBoU5g2r60Rl313dFlbS6dbUeE5Bng4nonteQmua+QLgcaAhlwI5ky3y2RG\nt+t/XxIIMwYKJQO9ZNvcAvus2aTu/L3u9yL4rlKIkJ1WNAZ0dlr1S2Q9T2NsoMeAhh4DGnoMaKSh\n52WuFBWljFLuut0uAaCuc3fioejbNpkmgTcz478RVWmjE6RfPvcRMQKz22WbvVrtEAFVAqaMDesU\nAVWq1Q5Rp9OnbpcjPBWF5xhwwngmjTNnjH4bG8MzZ9R5vxqREHgMaMiD4KDEdUhiotlk9yeIMGMg\nkAys1NWXgX5E6tauda2zucOIvc0d3+8qA65trgMXx3UeojGgSTz1S2Q9T2NsoMeAhh4DGnoMaKSh\n52l32pRQLpextrY2zChqwiOzqC0L6yuvsA+/9z3/BAcqJTcQBGoHwrU5FwHpQ8BzDDgxzjEA+ywO\nmMstUCFXujgIPAY05CFAvDkLKYQhCDMGCuO26Ze44xMPs6Qdp05h9rHHAACzZ86on7TD0TZX1nDA\nc33XcqCY0O9VQ48BDT0GNPQY0EhjDJSInS5qxESpVJoG8A4AvPPOO5ieng73A9yG4OIPfoCbN/8U\nBwct1CpTeKoywEubm8lsYm7cYLHV3nqL/fsIS6Jwlp2MIAAAIABJREFU9SrwJ38CrK+zoNyVitFG\n87633kov5p7xbC5+9KO4uf0Gey61aTz1yYdZQHoVN3gR0O+z2HeDwQCzs7MGgVcDy3Z4CMABarUJ\n7O3toVwuo1xWeNMeBIIN+sEBy/rY7TLywus+DY2xw+4uLp46hZv9Mg76bSYDn/oiiyua8/lx8eJF\nvPzyy2Ax/w7A5F6PxU1Nau2LC8fa2X/wEVy9OkxiYf4/6NrZarUwMzNj/jlDRK20uqIRDLH1PA0N\nDQ0NDY2xhHQ9L64pny7B3CwCwYitw36narhMVQkAi7GTBEx3n/V1y+3HdHNqtcju0uu4LxWMUYy4\nQsW/Cooxer8aGpER0W1TZYyFq3CImIvanVb9IkXP09DQ0NDQ0Bg7aHfaAsLKQHjiIdzslyHMQHjz\nT5PJwmq6+7z4IvD008BnPoNBswkA6PV6AMD+/sxn2PUXX0zP4kNggeVyWfJwV8ojVleZBVqnM0Ct\nNg327g8ZVw8BqKFWm0anM0C3O7T4yDW493fxsccwOzsLAJidncXFxx7LvYWRhkZsxHDbVBlXrzKr\n23q9jIODFpgF3rvG1XcBHOCg30a9XsbEBLtfSQievS0cBqCtiTU0NDQ0NDQ0NKRBk3gKwLaZ6bch\n3MwctJLbzHBE3sUPfACzp04CAObmDELl1Elc/MAH0iXwAP84SvzIVSkWYAwULQZgYIxLDEANjShw\nyEGhDAQSk4OecSpjItChRWUqH4cW+jBCQ0NDQ0NDQ0MjJeiYeJIQJ1aKLRba9DQO+j1kEQvt4mOP\n4eXXXsMwLtEUgDas+ERnzuClV1+VX7GGHToGIAoZA1BDQ3WYcd44+SKMUwkM47xJiI2ay5h4ArjX\n0OBrp46Jpz50TDwNDQ0NDQ2NKJCt52lLvJQwGAzwN3/zN0P3Gg6WBdbf/hBPVQYQWmA99cVELLBM\nV9533x3gW1u3ANTByDtgaBUxBaCOb23dwrvvJuDSOybwGwMWOLerl159FXt7ewCAvb09tgnMmcuc\nHwK50yVpgZoBAo0BjUJD6TFw//3+mdJNmHLq/vulVPvSyZNoTEygVqkCAGq1CTQaDUbgKS7vrHAY\n+wPc3H4DwnAY22/YwmEoPQY0IkO/Vw09BjT0GNDQY0AjjTGgLfEkYdQJ7cHBASYmJtDtdlGzmTMY\nyCg77XPPAVeuhP/e2hr7rkZwhBkD45CtdRwt8UaOAY3CQ/kx4LUWJZUNl6tv/8RDqNfL6HQGmJws\nu66rKO/CrqFra8ClS+4xoC3x1EdsPU+j8NBjQEOPAQ09BjREY0Bb4uUYx44dE19wbFJeeumloQVW\nq5WoNYIZl6jVGqBanQOzujtsXL3H+PcwgClUq3NotXIQn0hheI4BIHoMwBs3XGPDM47V7i67XwGM\nawxA3zFQROR0fCYJpceAIV8unjqFl19+2R6n8uWXcfHUqUQIvLwm7YiakEjpMaARGfq9augxoKHH\ngIYeAxpJj4GxssQrlUrzAB4kou9xnz0E4CEAPwUAIvqPfp/7/Ha0WCkeVgYuC6wUrBF0TLycIu8W\nfGMSA3BskffxOUYIFJ+1UsVeqyXHOtYRg6/fZ27zq6uC35UYgy8p6Jh4xYaOiaehoaGhoaERBdoS\nLyJKpdJ9AP4jgCcdlzaI6BsGSfd7pVLp/hGfy4XA+goQWGDJyDzoZxHz+i5eevNNNJaW4DT8rQFo\nLC0xQkVBS4ixh8BSxRXHSlWCZIxiAI4t8jw+xwyBMqX32/LiVD7zjO19VypsPRISg488ojSBh11j\nDT1zBrXaBAAjtt+ZM3rt1NDQ0NDQ0NDQkAciGpsC4NMAdrm/vwLgFe7vpwF8F8CXAXzX+fmI354G\nQADonXfeISXRbBIdOcL+NdDtEgFE3fl7idbXiY4coc6VdQKI7n7vdQKIOps77HvGdf77GgrBeL+N\nM2eoVjtEAFGtdogaZ86o+d78xmPX/z6NHCJv43MM0euxudfp9I13VCVgigAy/q1SrXaIOp0+dbvs\nfg1yyahOp8/Wzk5feF2Ed955h0wdAsA0KaAz6ZJDPU9DQ0NDQ0NDOcjW88bGEs9AyfH3hwD8V+7v\n/wrgfYLP/x/j80B499130el0cHBw4Cq9Xs/6vxfM614ZTfr9Pg4ODtD3SBFLROI6OIuYg+1t1p7X\nXwcADP7oj4AXXwSefhrlf//vAfRBDz4IoI/yJz7Bvmdcx2c+A2o2s+uHrkNcx8c+hpXf/V28/Npr\n9jhWr72Gix/9KA4+9jG1+iGwQi2VCJcvH6Df5+pwWKHm5n3oOux1PPggLn70o8LxufK7v4uDj30s\nH/0ocB2VClCtEsrlPr785c/DK1N6udwHcIBSSc1+pFrH9jYOfv/3bbKMj+13cHCAg499DIM//3Pg\nM59B//XXbTpBp9OxdAYNDQ0NDQ0NDQ2NkYjLAuapAHgCdku874K5zZp/PwTgba/PR/y2dULrVy5c\nuEAAaGFhwZOpPXbsGAGgW7duCa+vra0RAFpeXhZev337tn8dzSYdK5cJAFVKNWYRU56kxtIS0ZEj\n1Ntu0okTrI4Pf3h5aG3RbBJtbBA1m3T7j/4o+37oOoiIWcO89dZtbpyJrWcWF1kdP/yhmv3QdRSz\njtVVVseTT17wsO6qWHV4WXep0I/AdczN2T7v9YjW1ti/tjpMeapwPxoTE1Sr1NkaUalTY2KCrR95\neh+KvfO1Bx8cqSdAW+IpWaAt8TQ0NDQ0NDQiQLYlXu4TW5RKpacxTKPqxBtE9NfcvU8A+AoRPWL8\nfRPAPxPRN7jr3wDwY9HnRPRhn3ZYAY9/9rOfYXZ2FhVBYJ9SqWQqg55pp03LgUqlYs/SZ6Df72Mw\nGKBcLgvrICL0ej3fOlZOn8Z/2NwEUAGztrAH4PaswwhETg8/bNVRLteEwcgPtreB//yfUfnGNxLr\nRxrPSvU6nnsOuHKFwN4jAFdUQ6sWAMCzz1Zw5Yp6/dB1FLOOZ5/t4+rVAVgIVlGwM/vYXVtjY1q1\nfgSq4/XXgc99DrVXXhEm8TDnYOWv/xrlz37WZYmqYj/2TzyEer2MTmeAyb/9IbPk/rM/Ax5+WP33\noWAd5m8662i321hYWDA/1oktFIRObKGhoaGhoaERBbITW+SexAuDUqn0aQBPciTelwE8TET/k/H3\n1wHcB+AfRJ8T0QWf3/ZV7g4ODvArv/Ir+Kd/+idPZT9p2DIPzs4aLm2OzIO1Cezt7XlnHtSZJiMj\nqTEg5b1qpAIV5EDaGLvx6ZB9+/uDIQk2WcbB9jZ+5eRJ/NMPfoDaJz+ZdWvdcLQ/i0zpRYdIDujs\ntOojD3qeRrbQY0BDjwENPQY00tDzxjomHrHMsx/kPvowgBten8et/Oc//3ncn4gFW+bBgxaEmQcP\nWv6ZB3WmyVhIYgxUKmxzPTlZxlOffBjCOFaffBiTk2XUajknSAqArOVA2hi78cnJyIuPPYbZ2VkA\nwOzsLC4+9hjwuc/h50TAww9n3FABBLLbM1O6zhodC+MmB8YF+r1q6DGgoceAhh4DGkmPgbEh8Uql\n0n1g2Wg/VCqVfou79GSpVNow3HJ3iej/HfF5JFSrVdy+fRvVajXOz8TC6iqzpuh0BqjVpsGsYQ4Z\nVw8BqKFWm0anM0C3y+4XYtQmNacEXr/P3Pg8YpjHRuJjYHcXL735JhpnzqBWmwAA1GoTzEX6zTf1\nhlsBqCAHMsM4jc9HHvFM4vFvP/pRdceAINlMpcLkoo1cdSSb0QiHsZYDBYZ+rxp6DGjoMaChx4BG\nGmNgrNxpk0TasVL6fQjj0AXFxccew8uvvQagCmYNY4+Jl9ZvZAYjth+/WRW6BQOMXHjrLeCZZ9Jv\nZ1CMcOHT1pEamWJMxufYuQ4DQlnquT7lQZZmBO1Oqz50TDwNDQ0NDQ2NKNDutOOGGzeEFiqDAXDl\nCvvXwu4uu38UYljE9PuM7NrfH+Dm9htgBJ7JeNUAVHFz+w3s7w9wcJCcVVts3H+/yx3M5RYMDMmF\n++9Pu4XBIXSBK9v+1S5wGplhjManlJAFeYNQlnqsT6rLUg0NDQ0NDQ0NDQ3FoUk81SHYIAE+cehG\nbZC4DfVLr76Kvb09AMDe3h6znhuxkS7MJtVBGly8eNHuFnzxYn6sgwQucK44VoB2gdPIBmM0PqWF\nLMgTdJxUDQ0NDQ0NDQ0NjdSg3WklIVE3C8cG6OL/397dxch13nee/z31xiabLVIO5Z3JRRIpg8Ga\nwQamYuyOZgFqE5EMRhDTjCnHQtZXtiVTFKoX2ESijJhuCRzLZLIbBE2sQ8VOLmYAjyxFXnIocd1F\nKbJ5MbmIFGYWRHYwI1nBXMyFQr/IzVZX19uzF+dUd72c6no7L8859f0AD4pddVjnVJ1/PfWcfz0v\nS0u6dOnPVa+vq1ic16mHj3o96IZdIIWwsmzmhotVKlo6flwXazX1DQsulbRy9WoyF50MUQPiF+Ln\nLtXTDUzC/95YOnxYl65dH//7acYxnNZ9DKcFAACTYDjtLOpZSOLixYt9k6UvHT48/AIphB4xsaw0\nGTCEeOCiE6MOIe6xNSz4wSO61MwpcFhwM6fNB48kMyyYIWpA/ML63GVxEY9h9fIOi3mM9P0EAAAA\nYDhrLSWEImlekpVk79y5Y3s1Gg17+vRp22g0+h4bptGwtlaztnr1e7aogpUKVtptJevfFmyxuMdW\nq01bq3nbR2511dq777blxUVbLO6xkrXF4h5bXly09u67vcenfO7O56jVrJW82522G9XysvXfv9HK\n8vLkL6dt7BjoeX3VatNK3m3Q43DfNPUAYjLt527I/29cu2ZP79plG9euRf5SQrVDvby+7r0+77vA\nge+nqJ0/33f+Gw3ve6Lv9a2uett3bdtfD9y5c8e22xCS5q0D7RpKfO08ZAMxAGIAxADiaOcl3ijK\nShnWuKvValaSrXVloUaTRMJpR3EklyLex1ZiNMYLz4liIMpkKWI3TT2AGE36uRvhB4itGNi/P32f\n3wH1slPfT3GY8oemoHqAJJ77Jcp2HrKBGAAxAGIAcbTzGE4bk1wup+Xl5e3VGMfg1GTpca002TOE\nuGvRiRMnpp4kvWtY8KkvKHBY8KkvTDcsuMeoMcAQteyaph7ADsIegj/p526EKQu2YuDb307fIh4D\n6uVCYZ+efOTTKqooFvMYvpgH9UA2cV5BDIAYADGAWGJg2iwgZbRfaMNSXlz0M7gFv2dDwUqy5XI5\nsn12mXIY0bgGvt7Fxamet8vqqi2XSraYn/N63OTnbLlUiqeXTMD7ObND1IBJhTQEP4keurEJse4e\nVC//6j/5J9HX1y4Jsac0PfHcL3G18wAAQLYwnNbREkvjLuiCQYXMXSDFeiHdcVHfNWQ3rvnmAvYz\ns0PUgGmEMATfuakLwjRlonOkelkF++Qjv20LhbvcG/of0Q9QYf3QRBLP/UISDwAATIIknqMl8sbd\noAvUq99z4wIpRLFdSPe8p30XtAkk8srl8laCtlC4yz755JLfQzBDPYKAqEzZMyrTPfGsnSrROW69\nPG4CNXIhLpgURZyQxHO/kMQDAACTIInnaIm0cTfs4sOFC6QQxXIhHfCeBfbKiDGRVy6VAnt0/Kox\nofT0iFXMw66BtrB6RsUylD8JEyY6x6mX19c7vp969utSIm/SBZOi+KGJJJ77hSQeAACYBAtbzJoB\nk2N3TZYexkISDuladOLhowpcdOLho9MtOhEwAX0+702E3/V87fc2ognom02pXpc2HzyiS82cpIK8\nieHl3xb0/9m8nnzkt1UoeJPFF4sllRcXtXLjhrvn+9ChvnhstaTnn/dut7Tj+9Ch+I8RmbH1Odps\n6dK16wr6HF26dl2bmy3V6wGLXfSqVLRy44bKi4sqFkves4z7uQt7sY2wTLhoxzj18q5d3Yt5tPcb\nZV06kpAWTHJqsSkAAADMlmmzgJTRfqFtNpv2rbfess1ms++xHQX0aBooyh5NSfSsGrXHSEp6fQXF\nQOqHqO0kpF4vWTJxPYAdhdozKqy4HdiDummvX++IgZg+B6H1cA5xMYekhNnLcpLnCqoH6Innfoms\nnYfMIAZADIAYQBztvMQbRVkpwxp3tVrNSrK1rvFFNjUJqDDnE5pkfzteSMd9bBMKioFMDFHbSQYu\n+MM0sB7AVMJOUIVWlwTWYx0xEOPnN5REZ1oS8wHfq5ub1n7lK9aur4c4TcOE9VtQPUASz/0ycTsP\nM4MYADEAYgBxtPMSbxRlpYzSuDt48GD/BzolCaigY4jsAm6S9yQFF5cDY8BXLpeDe3SUy9ZaR5O7\nI8js3GITGBYDmN5U8RbFjyp9iZ6alYw9ffx4rHXS1InOFH9XWesl8EKdx26K75ygeoAknvtl4nYe\nZgYxAGIAxADiaOcl3ijKShnWuNtRChJQW+LoWTXphXTae335i1t4q9FaW8zP2XKp5P5xB8j8Kp9w\nk6N1gGuJ7ImOJy29xjuPoeOcr69736sfflifvk6KIKFJEs/9MlU7DwAAzCySeI6WqRt3jl58BnHt\ngjQtx7ajjou9riSuSwncMUSxeiOwI8d+DHE2kT3ud03akned2q/1E5/Y/nGkuMf+D//dz1tp2Uql\n/u+JUV5DBO8JSTz3C0k8AAAwCZJ4jpYwGncuJ6CcvSB1/NhG0pNc6OvRkcJEXurPCdLFwaGeTiay\nJ0l0OvjejiP4e9X7d6FwV3cSc+9eryTwGkjiuV9I4gEAgEmE3c7LCYlqNqV6XdrcbOnSteuSCpKK\n/qNFSQVdunZdm5st1eve9kk4d04qlaS5uZzq9XVJdUkf+Y9+JKmuen1dc3M5lUre9hzbCCoV6bHH\npJdeko4dkyTlctLysncrybv/pZe87SqV5I51DPm8VCxKu3bldOrho5Ia8s6L/NuGTj18VLt25VQs\netsDE7t5s+szJAV8jqTtz9LNm5Ef0tmzUq0mVastFYvz8urzPf6jeyQVVSzOq1ptqVbzto9UYF2T\n67oNrGsC7mu1Wl23Qc+dpFG+VyXpv/23f5Qk/fSna1o5fTqJQwUAAADGQhIvYWlJQDl3QZqSYxsq\nIPmQz0vPPdeT2Iox+RCqSkUrN26ovLioYrEkSSoWSyovLmrlxo3UJCURkwsX+mKi2fQ+D30/YFQq\n3vaSdOZMX/Io8HMkedudORPmUQdyLpE9TaKzI5G3dOKEFhYWJEkLCwtaOnHCqQSeNMr36oYk6eMf\n9+qkrz/+vvcaXn3VKyn6wQQAAACzxVhviACmZIyZl3RHku7cuaP5+fmR/l+zKbVaXo+GhYUF1es1\neUmoj+QloOoqFktaW1tTLpdTLpd8r6WlEyd08coVeb0Z6vKOt+ElZi5f5tjg6emds7nZ0txcTtVq\nS7t25ZzrvQMHBMREve4lZGo1Lyk2aDtn+ce6dPiwLl27rnp9XcXivE49fNRLZKfhNfjSUr8O/161\n8hJ585LO6MnCBX3j9f97+zxUKl4SM4Zkb9v6+rr27t3b/nOvtXY9tp1jJJO28wAAwGwLu51HT7yY\n1Ot13XPPParX6133j9NbI5fzehh09Ujp7I0yzKS9XHrud7ZnlcvHpsExkEmTDt3LuJmKgUmkcOjm\njjqOdeXyZa2trUmqa9++Pfo/X3klFfGf+JQPPd9bA7+zpK3vrc7v1Sf+1W/6D9qOW9Px73P6Vqup\nzQePbB1/86Fjem7jzOjfi2OiHsgmziuIARADIAYQSwxMO6keZbQJj2u1mpVka10zgXfoXDGwvYpe\nfq5rxcCpFzyYdoJyx1Z/TM2x+YbGQJakeUXLCM1UDEwjRat1DzSwvu2JAQfqpp0kvkDHsIV/BmzX\nvm957vzYxx/1wh1B9QALW4TWFtsv6WTPfUcknZf0uKTHh92/w3NP185D5hEDIAZADCCOdl7iDa6s\nlGGNu1arZW/dumVbrVbfYwMTUPsOePf5j1evfm87MTXpBcWkyS6XVyh0+dg67BgDSE6MCUdiYHQu\nr9Y9kgFx9dWvtux//I89MeBwItuJlaY76u6+76yex3vva1zzfgD78MO6f8xz/cef22Wr+w7Y2usV\n22hE/yNQUD1AEi+Udti9kl6RVOm5/+2Of1ckHdrp/h2ef/J2HmYCMQBiAMQA4mjnJd7oykoZ1rgb\naKcE1OuVrcfKi4u26F/MFvNztlwqTX5BMUkvl6gTHdM8P72+MI2UJIFngRMJoyilua46f96WH3ig\nJ7H6vJVy/YnVKI59ddWWS6XtnurFPbZcLu+YwAv6THvH3pMYLhatfeGFRHt/ksQLrS12sjOJJ+kJ\nSd/p+PtpSS/7ve9e7r1/yHNP1s4DAAAzjSSeo2Xixt2wizr/wiWwR0q5PPp+ekTWy2XSi1QSKUhS\nCoZjz4LEh25GLc313AsvWGuMLT/wwFaSS7L29PFPdx9rRMdeLpeDv7OCftAa9D30uXftU8W57kTg\n4qK1n/+8l8DrS1LG1/uTJF5obbFHe5J4L0r6esffJyW9LemSpPM9/+/tIc9NEg8AAIwt7HYeq9OG\nJOxVy7pW15ufV73Z0LSr1sayEu40q0uymimSlKFVRNMqjat1jy2N9Vz7mJ5+WvqjP9Lmv/l3mjvu\nLRhRrba06wdvdD0e1rGPFA/5gtbW14fHQ8f7uvngka33vFDIeftYXdXC8Uf8ZaXijzlWpw2HMeZR\nSU9Ya4/5f78s6YfW2mf9v4/I64n3RtD91tqP7fDcW+28Dz74QAsLC8oHBIMxpp30U3Gr0dOtPdl1\nPp/fXuypQ7PZVKvVUi6XC9yHtVaNRoN9sA/2wT7YB/tgHw7to/2cvfvY2NjQgQMH2ndP386bNgtI\nieYX2ih6pMTWy2WaXk1ZmNAeqZX6edgGSeEwzsyeC2vTVc/11terq/Z0R0+8rWGtfk89+8ILoe06\ntO+sHRbHcKX3Jz3xdmxfPS1vAYqg8lDPtr098QJ73A26f8hxzHeco4HlySeftJLsgQMHBp7vgwcP\nWkn2rbfeCnx8eXnZSrKnT58OfPzWrVvsg32wD/bBPtgH+3BsH+3nHFIYTutKCTuJ1zU3VH7OhjE3\nVKzzTU1xkZrpi/cUJlOyLvPzsFmbvmGcaUpyTSg19VxPneUNa81Zbz68juMulbwEXoh11kifzfzc\n8M9mz2vorHNd+fyTxAutLdY7J17v3HfPSPrTQfcPee6tdt4HH3xgNzY2bK1W6yv1en3r34O0H282\nm4GPNxoNW6vVbGNAwLVaLfbBPtgH+2Af7IN9OLaP9nO2y8bGhl1fX7e3b98miediGZbEazQa9vTp\n0wODZKC0zYk34T5cuZCKUqPRsKePH7eN/fvTk0yZAXH2xJm4HghDWub9S8txTqDRsHZjo2G/9KUn\nbaGwOzX13ETJtJB/sBhrTrwJxZVYDaoHSOKF1hbr6onn3/dux79flvRLO92/w3NH085DZhADIAZA\nDCCOdl7iDa6slGGNu1qtZiXZ2te+NvqFzQsvWLt7t5fIK5e3e6QksTrtiCZNxrkypClKWzHw+uuZ\nTVKkUZwJ5K0Y2OEXnUi53sMtbT0Gx+TVczX/C7yWmnpuovo57HM5zuq0k4jxsxFUD5DEC6Uddq+k\niqQfSfpkx/0PyRt6+7SkLw67f4fnH62dl1T9jsQRAyAGQAwgjnZe4o2urJRRfqFdXl62jWvXRruw\nCZhfqCvZM+mFS8S9XCZNxs1KT7zl5WUvK+96MmVGRd0TpysGEuL0MM6MDzdv98T7gz/4avZ74lkb\n3vdNx3Z9zzHO84zw/FMd54iC6gGSeO6Xkdt5rnxwETtiAMQAiAHE0c5LvFGUlTLWnHjDLhgGTBDe\nl+wb98Iihl4uYSTjnE4yhCgzrzMriZcMJ1ZnIUnex/G4TOvnf+xhrdN+rnZYlGKn7UbmSO9Pknju\nl7HaeQAAAD6SeI6WsRt3O13Y7N4duMJf4AXoOBefcVzUduxj+yK15F/slbovUoP2keFEirUZTaY4\nchE8lQzPw2btbAxX7+NyXKa5nptgWOtUCcsdFqUIOraxv7ccSfaSxHO/kMQDAACTIInnaJmkcZfW\nnhg7al/IvfDC1kVqoXCXlawtFO7avkj1H++6eMp4IsXaDCdT0nzuXE72hCSTyeNRuBiXLh7TqMYY\n1ppYzDmSlBsXSTz3C0k8AAAwCZJ4jpZRG3czcTHdMxz4ww/rVvJugx631s5EIsXajJ//tPYuSulF\n/6Qy+ePBTlyKyzTXc2MOa13+3LvJ/GCR0veYJJ77hSQeAACYBEk8R8uojbvM9sRqm7Qn3owlUqzN\nZjIli68pU1xKaMXImbicoJ7bcfhonMYc1tp44UJyP1iksLcjSTz3C0k8AAAwCZJ4jpZhjbtms2nf\neustW6s1s9sTy9rp58Qb4/nbIkv2hbyvdgw0m81MJVMy3bswZF0xELcUJjam4Wpc7hgDAXXOjj3e\nOusch38ISSSJ6nAdGxQDJPHcL6O28xKp3+EEYgDEAIgBxNHOS7xRlJUyrHFXq9WsJFvruBJzpndI\niCK/cI5zqFTI+9qKgddfz1QyJfO9S0MUVA/EIqVDDKfhalzuGAMB7/+wued2us+Jc5xgMs3V79ig\nGCCJ536ZpJ2H2UIMgBgAMYA42nmJN4qyUkZp3B08eHD7ZDrcS2AasVw4x9mjKMR91Wo1e/AXfsHW\n9u9370J7Cq72eHJRXz0QF4d7aUXF1bgcGgMdn/1yudz9/TBkFVjnelsmcDyunvdOQTFAEs/9MnY7\nDzOHGAAxAGIAcbTzEm8UZaWMNVeKaxdaIYrtAirOJGiY+8p4MsXVni+YbamLy9VVWy6Vgo+5VNq5\nznHlB6KEega62gNzGJJ47hfmxAMAAJMIu52XE+JVqUiPPSa99JJ07JgkKZfLdd3q2DHv8cce87ZP\nkXxeKhalXbtyOvXwUUkNSXX/0bqkhk49fFS7duVULHrbT+TYMS0dPqyLV66oXq95z16v6eKVK1o6\nfHjrvQ1FxPvK56WzZ6Vz56RmM4wDTkilopU7DLDPAAAgAElEQVQbN1ReXFSxWJIkFYsllRcXtXLj\nRupiGRmRorhsNqV6Xdp88IguNXOSCpKK/qNFSQVdaua0+eAR1esD6otR66sLF/pee7MpPfdcwPNW\nKt7247h5s+t7TpJyOWl52bvtPF699JK3fQjOnpVqNalabalYnJf3vu3xH90jqahicV7Vaku1mrc9\nAAAAkBrTZgEpY/5Cm/GeWFsi6g0S51CpSPY1oNdJXw+VtPXGzHDvUqRYyuJyml5kY9dX1xydQy9E\naeqBSU8898vI7TwAAIAODKd1tNC46xDhhXOcQ6Ui29ewyevTdtHs6oT6mG0pjMtpfjiYqL5KWZIz\nUM8PY1s/il0L+CEpP2fLn/iEk6+JJJ77hXYeAACYBMNp4baIhwvHOVQqsn31vP6lpSUtLCxIkhbm\n57V0/HjfMDSnJTRsDthRCuOyazqCU19Q4HQEp74QOB3BRPVVR120dOLEdj20sKClEyf66nInHTrU\n9V3SaknPPy+1fvdz0ksvaeXyZa2trUmS1vbu1cqf/Elqp6sAAAAASOIhXBFfOMc2517U+/Jf/9Lx\n47p48eL23FXNhi7Walp67bXJDzxuZ870XeTn897cWn3vybFj3vZAFDrnefPjsnOet6647JznLa64\nHGMeupV/+k9VzudVzBckScV8QeVSSSuPPBL41BPXV3HOLxqFnh9FWqurkqTWv/232z8kvfmmd/vt\nb3v3pXjeWQAAAMy4abvyUUYbZlGr1eyBAwdYbjosKVydth0DGxu17SFz+blI5/WDW6gHIub6ENrV\nVVvbv98e2LdvKwYCj++FF6w1xtoXXhh/qP2I9VWc84vGwl/Rt2hK26+5XLZ2ddU29v+cXf7cu87M\nOxtUDzCc1v1COw/DEAMgBkAMII52XuKNoqyUURp3kpL7QGdpQY0453EKcV/tGPjKV2qxzesHtyRe\nD8wCx+d5q73+uhcDr78efHwdCTxrx1z0ZozXHuf8olMZ8burXC77DaOeRSxKJefmvwuqB0jiuV+c\nb+chccQAiAEQA4ijnZd4oygrZVjjrtVq2Vu3btlWq9X3WCxc76EyqjhfR8j7asdAvd6iJ96MSrwe\nmBVx9tQdU6vVsrdefNG29u/vP74HHuhK4Fk74MeWoDpnzPqqcW01HT3xdnhdGxt2eF2an0v+NfQI\nqgdI4rlfnG/nIXHEAIgBEAOIo53HnHgxMcboV37lV2SMSeYAAuYAarVaXbdBi1I4J87J6kPeVzsG\nCgXjzV31gzd0Kt/SOJPXI90SrwdmRdjzvI0xl13XXHsBjDH6lSee0P/24IP9x/fXf62lf/EvpC9/\neWv7wPklg+qcMeur/P97M7b5Raeyw3fXv/7XVqWSNDeXU7254R/3R/5//EhSXfXmhubmciqVpHPn\nkngB/agHsonzCmIAxACIAcQRA8Z6vy5iSsaYeUl3JOnOnTuan59P+IgG8BN1S4cP69K166rX11Us\nzuvUw0e1cuOG2wm8LOlImC699pouXfpz71zkd+tUvqWVq1c5D8CYmk1vddJWq6WFhQU/QVaUl9DZ\nI6muYrGktbU15XI55XIjJqcCfuCo16VSyVsRtlgcvF0sxzeNtHwnBBxnobCgJ/7VMf3xjRtauHNH\n9WZDfe9nvqC19fX43s8Jra+va+/eve0/91pr15M8HvRLTTsPAAA4Jex2Hj3xMmBgj5AgaV+JMAt6\nLvRXVla0trYmSVpbX/cSeKyaCIzt3Dlt98yqryuwZ1Z9ffyeWSH1ZI7s+CbVccwrly9v10Nra1q5\nfHm6FVxD7L0oKfC7q9Go6htXv6un/5f/WadOP67A3oT5lnb94A16NQMAACAT6IkXkth+ob1wQTp0\nqOsiMbBHiORdGN28KZ0542YPkFk04EK/7xymYWgz4JjI67kpe605VQ+H1Lsw6ucf+T377nf1v3/6\n0/qzptRo+efl1Be08sgjqahL6YnnPnriAQCASdATb9YdOtTXM6KvR4i0fWF06JAkB3uAzKqAeauk\ngLmrwpjTD5gx+byinedtyp7MkR/fOKKeXzTu3ovHf1PfqK/rzJfvSPJ7E66sBB4HAAAAkFrTroxB\nGW3VskajYU+fPm0bYSyP17FaX7lc7l7dsFwOXM2v0bDpWIlwDIGrNkbh/Pm+1SwH7nt11ds+QKgx\ngFQiBmIS8uq0YdafjUbDnj5+3DaCVqcNa/XckOqsUEx5LkZ671Ww1avfs7Wat2Jt34q8Hcfhwsrr\nQfUAq9O6X2Jt5yGViAEQAyAGEEc7L/FGUVbKsMZdrVazkmyt78piQqurtlwq+YFQ8C9oClaSLZdK\nO16olBcXg//f4mI4xxaFgIvSWs0OvlgL86I04OIvcN9DLhJDjwGkDjEQg57PYbXatJJ3G/T4KJaX\nrV9XjlaWlwc/V+31170YeP310I6vT0h1VljC+s4Z+DwPPLC1zY4/7kSdsBxRUD1AEs/9Ens7D6lD\nDIAYADGAONp5iTeKslJG+YV2eXl56qx8V6+E/Fxwr4T83OAeISH3UIlNwMVm38XvgO2i2P8kF95h\nxQDSixiIWETJq9B64q2u2sb+/Xb5c5/bioHIkmsRJDPHEXrv77R+dwUIqgdI4rlf4mrnIb2IARAD\nIAYQRzsv8UZRVsqwxl1YpuoRkvBF3dQmGEYcxf6zcBEJZFIMw0in6lUW9zDXBOusMHsvpv67awQk\n8dwvcbXzAABAtoTdzmN12pDEtWrZxKsbRr0SYVwqFS0dP66LtZqkgrxJzouSGiqXSlq5ejXS4146\ncUIXr1zp3/fiolYuXw53ZwErETeb3kTvZ8/2THrfsRIxgIhMuTptEmKtszqEthJvVr67hmB1Wvex\nOi0AAJgEq9POuK7VDU99QYGrG576Qv/qhlGvRBixZtO7cNt88IguNXPyLkjbV29FSQVdaua0+eAR\n1eve9qHve7OlS9euB+/72nVtbrbC3XfgSsTS8897t1t6ViIGEIGOJNHK5ctaW1uT5K+CevmyUyug\nJlZndQhtJd6Uf3cBAAAAYSKJl2IrjzyicqmkYr4gSSrmC15vtEce6d/4zJm+3gn5vPTccwEXT8eO\nOdej69w5r+fF3FxO9eaGvIvAj/xHP5JUV725obm5nEolb/tI9l1fD953fT38fbcvSjsSAy0/e9e+\nTXvvEyAVAj5nOT+D1L4N+rwmJbE6K0ilopUbN1ReXFSxWJIkFYslryfgjRvD36szZ7zEXMd2+bzX\nG/ncuZ4E5LFj3o8ZFy5E8EIAAACA5DGcNiSxD7PouKjcfPCI5uZyqlZb2vWDNzKZ1AltaFbK9i0p\nlUP4gExJ2dD2xOustp7k5+Zma/u7aldu9B8hZmBILcNp3cdwWgAAMAmG06ZUq9XS97///e0eVNPo\nuVDp6hHiUG+QME08jDjsfU8xLGziGDh2TEuHD+vilSv+xbhUr9d08coVLR0+nLqL1R1duNAXt82m\n12O0b8hfpZK6Hjeh1gOIT4g9meOIgdCGsk4jzN6LGeuVTD2QTZxXEAMgBkAMIJYYmHZlDMpoq5bV\najUrydZqtb7HxhKwCl/g6oYZWK1voNVVWy6VbDE/5622mJ+z5VIp+tc65UqP48ZAo2FtreatwOjt\nr2Cl3f5qjrutVLDF4h5brTZtrRawumUaBcRtrWat5N3utF0ahFYPILVijYEkV9SOYiXejKwQHhQD\nrE7rfomtnYfUIgZADIAYQBztvMQbRVkpozTuDh48OP0HOuDCaKDPf94rPQYm/Ua5iEpaR/KmWm1a\nyUtyRZ7U6Xn+rn0HPB5k3BhYXrZ+wm60srw85Wt0RQjvtatCqweQWrHFQEY/R+XFRb8BVPDrvoKV\n5CXyUiIoBkjiuV9ia+chtYgBEAMgBhBHO4858ULi5FwpA4YX9c0llJZhSD3HGdvrSGg+JmfmtUoC\n8wACk8vYHHKzUBcyJ577nGznAQAA5zEnHkY3YL6hrrmEUnIRFzy/krS87N1Kim4+wJs3+96fvn13\n7v/mzVB268S8VkmZpXkAgbAlVGdFxanVdgEAAIAE0RMvJE7/QtuRAFt67TVduvTnXs+m/G6dyre0\ncvWq+0mRgNUhB5p0dUhXV6CcoV5ps9DjBsB4ZqFeoCee+5xu5wEAAGfREw/j83tbLB0/rosXL273\nbGo2dLFW09JrryV8gCMIWB1yoCGrQw506FBAr0Xp+ee92y3tpOihQ+PvY1wdCdiVy5e1trYmSVpb\nW9PK5cuZW4mYHjcAes10r2QAAACgAz3xQuLqL7RdPRjm51VvNpS1Hgyh6hm2u7nZ0txcTtVqS7t2\n5eIdfpyxea1GMQs9bgBMKMO9kumJ5z5X23kAAMBt9MTDWLp6NjU3RM+mITrm1Vs6cUILCwuSpIWF\nBS2dOBFvsixj81qNgh43AALNWK9kAAAAIAhJvJjU63Xdc889qtfrwzcO0dmzXq+tarWlYn63vF5N\ne/xH90gqqlicV7XaUq3mbT/zIlpUYewYCBhCnM9Lzz0XkLyadAixqyoVrdy4ofLioorFkiSpWCyp\nvLjo9bhJ6YV6UvVAoi5c6DtfzaYXx81mz7aVird9hs1kDEwrcGGjXNdtZAsbRYAYyCbOK4gBEAMg\nBhBHDJDEi9Ht27dj3+dWz6YfvKFT+ZYCezad+gI9m+QlFOp1aXOzpUvXrksqyEt6yr8t6NK169rc\nbKleD0hAjCCJGEidjPe4mbkYcHGuyYTNXAxMK4O9komBbOK8ghgAMQBiAFHHAEm8mBQKBd26dUuF\nQiH+nfsXxytXr6pcLm/3bMoXVC6VtPLII/Efk4OiXlQh0RhIi4z1uOk1kzEQcL5afvaufZuleR2H\nmckYmFbGeiUTA9nEeQUxAGIAxADiiAEWtgjJWBMeX7gg/ef/LH32s1sXJs2m1zNF8noXbF2YVCrS\nd74j/fN/PtmFScDFcddiDT94Y2YunodhUQUHXLjg9cTqiMVm00uYnj3b835XKl6PG8cv2OHL8KIE\nwLRY2MJ9LGwBAAAmwcIWWXDokPTyy9LJkx09U7xExblzHUPMKhVvm5dfnmyI2YDeLV09m1Lcqyls\nLKrggHF73EjMt5YWEc01CQAAAACzgiReEo4dk1591fu3n8hrdUwO1Wq1thN4krftJBe4AfMISQFz\nCaVoHqFYZHRRhUxivjXnxTHXpHNYzAMAAABABEjiJaUjkbf0yCPavXv31kO75+a01J6nbtIEnhTY\nq0ka0LMpinmE0nghm/FFFTKH+dacF/Vck04iuQwAAAAgAiTxknTsmJYeekgX63VZu31lZ2V1sV7X\n0kMPpTvpkLYL2YwvqpBZHedk6cQJLSwsSJIWFha0dOIECbyEnT0r1WpStdpSsTgvr/fdHv/RPZKK\nKhbnVa22VKt526ceyWUAAAAAESCJF5Nms6mnnnpKzWZTzaZUrUp37rT0p6+/JWlO0u6OrXdLmtM3\nXvsr3bnTUrWa0iFmabuQDRh+3Df0WJp4+HFnDCBkKZlvbRZjYGbnmhyQXN67d69+9d571fzsZ92o\n9xC7WawHZgHnFcQAiAEQA4gjBlidNiTDVi2r1+sqlUqq1Wr62teKWyvRjmp52RuGmkpZW5VywhVU\nO2OgWCz2Py/GlrYVhWc6BrJWD4xo6cQJXbxyRd5cgHX/tqnTx4/r//r3/z76A2DFZ+cE1QOsTuu+\ncdp5M1e/QxIxAGIAxADiaefREy8muVxOy8vLyuVyOntW2tiQ1tZaKhT2yet5d1fH1ndJ2q18/i6t\nrbW0sZHyIWYp6SU1sgmHCXfGAMKRtvnWZjYGZmyuyeGLeRj92f/zRjyLecQ1rUEa50BNyMzWAxnH\neQUxAGIAxADiiAF64oVk2C+0g/T30pC8i7yGyp/4hFb+5E9S24Mibb2kxtIzDHhzs6W5uZyq1ZZ2\n7cq5NUw4wzIdY1kR8Fmo173ka63mDbUdtF1aPfecxuptHXlP6zjqqxk8z2GiJ577Jm3nAQCA2UZP\nvCypVLTy5psqF4syZvtUGBmVi0WtvP++dPJkehaG6JG2XlJjYTEFJ8zsfGtpEvFcky5ybjGPOOqr\ntM2BCgAAAKSRtZYSQpE0L8lKsnfu3LFDra5au3evV1ZXbbXatJK1krXVanP78bm5rW2stVvbVavN\n7ee5++6tx13SaFhbq3nHWizusVLBSrv917nbSgVbLO6x1WrT1mre9mlTXly03nkv+K+rYCXZ8uJi\n0oe27fz5vvhoNKxdXg54z1dXve3Txv8clBcX/Viztljc450HRz8fSEjMnweX6ohYjoXP4kTu3Llj\n220ISfPWgXYNZcp2HgAAgA2/nUdPvCRUKl4PO0l69VXp2LGuMdO5XM7rpfDqq1KhIDUa0smTqevx\nNVYvqT++oPyb6ZhPafh8VwVdunY9nvmuRhHXnFhJmbH51jClOD8PlYpWbtxQeXFRxWJJklQsllRe\nXPQW84ghJmOvr8aYA3VgHQ8AAAAg2LRZQMoEv9CeP2/t5z/f1SOh0bD27FmvdPUGWV219vOft+VP\nfMKZ3hxjG6VnRkCPwlrNWsm77X2uJHtzLC/brV6To5Tl5cQOdVvP+5amHp07SlHcwCFxfB4c+czF\nVV+N1PM6P9fV8zrws2ptensET4GeeO6Xsdp5AAAAvrDbeYk3irJShjXums2mfeutt2yz2ex7bJBM\nDEcd50LWkYveYSY9L5PEQKiyOMwtZUOFE48BbIvy87BDcrla7YiBGOq0uL5HJkkW9tXx1jpTz49s\ngjooqB4gied+iaKdh2whBkAMgBhAHO28xBtFWSnDGne1Ws1KsrW+LgeDpbLHV6dJekmlLNE0zhxT\nk8RA2Fyan2sWuRAD2BbZ52GHxM7GRk8MxJhcjvLzP3JPvH0HbO31in3qqaXuOr5cTl8Cz9qJvueC\n6gGSeO6XKNp5yBZiAMQAiAHE0c5LvFGUlTJK4+7gwYNjfaBT3xNvwl5SqUk0jZlwrH3ta/bgL/xC\nVwzE0Wss9XGUIZPUAwhX0p+HxGIgxh9IdqzDV1dtuVQKfrxUSlcCr23MXuRBMUASz/0SRTsP2UIM\ngBgAMYA42nmJN4qyUqKeKyU1ia0JJX1hPbZJhv4mNH9b6nt0AiGayc9DnFMVDEgWPvVbv21r+++x\n1avfs8X83OCeeq7U8eOaMklKEs/9wpx4AABgEiTxHC2RNu5SNsR0Eqm6sJ4mGZfAvH+pS5ACEZq5\nz0OcPx7sUL+lqo6f0DQ/tpHEc7+QxAMAAJMIu52X612tFo6pVKTHHpNeekkrly9rbW1NkrS2tqaV\ny5ell17yHq9UEj7Q6Zw9K9VqUrXaUrE4L6koaY//6B5JRRWL86pWW6rVvO0Tc/Om974fO7Z1Vy4n\nLS97t1uOHfO2u3mz/77HHtPSiRNaWFiQJC0sLGjpxImtc9353NPK56ViUdq1K6dTDx+V1JBU9x+t\nS2ro1MNHtWtXTsWit/2OLlzoi7dmU3ruOe+2S6XibQ84IvTPg+umqa/G0fFd1d5Xzt9BLpfbruOv\nrqqoopyu48fQbEr1urS52dKla9clFeS9Nvm3BV26dl2bmy3V6wF1JAAAADCOabOAlAh/oU1o+GXS\nsj502NqEXmNYPTpnNC6RMS73cE7ZqsvW2rGOeWD9Vy7Hd7whCauHIT3x3C+RtPMAAEDmhd3OM9Zr\nmGBKxph5SXck6c6dO5qfn5/+SS9ckA4d6upB0WxK5855vRS6eohUKl4PijNnpt9vkvzeHEuHD+vS\nteuq19dVLM7r1MNHtXLjRui91OLUbEqtltRqtbSwsKB6vSavp8ZH8nqi1FUslrS2tqZcLqdcLsRe\nQD29ZDY3W5qby6labWnXrlxgL5pYnw+Ik+vxG7D/el0qlbzebMXi4O1SoVLR0vHjutTMqd7cUDG/\nW6fyLa1cvZqu16Hw6vX19XXt3bu3/edea+16XK8Bo4mknQcAADIv9HbetFlACr/QhiaB+eLilNic\nUFH1nHO5JxMwSFp6kma1Puw47q7XFMbrSbgHI3PiZbvQzgMAAJNgTryUqtfruueee1Sv14dvPIuG\nzKckqWs+uTTOAfjss3UdOHCP1tY24533L6o5sY4d09Lhw7p45Yrf+0Sq12u6eOWKlg4fTl2PmjjM\nQj0wcH5EV8Q1R9wAI8dAAvNnRq6nnu+q48Oo3w8d6vv/rZb0/PPebd9xHDo0xYvpUalo5cYNlRcX\nVSyWJEnFYknlxUWvF3nHMc1CPTCLOK8gBkAMgBhAHDHAcNqQDBtmUa/XVSqVVKvVVNwaC4UtMzB0\nuDMGfu8zn9HFK1fkTYJel5fQa3gXfJcvJ3ugQyQ6LDjlMlkP9Hx2A4d9tqX0sxumcWNg6cSJ1NYV\nXQJ+qAms46cdIpzEUOkx9xkUAwyndR/tPAxDDIAYADGAONp59MSLSaFQ0K1bt1QoFJI+FDedOdN3\nQZXPez16+hJAx46lMgmwFQN/9Vcj99hw0blzXpJmbi6nen1dXmLhI//RjyTVVa+va24up1LJ2x6e\nTNYDPb2fWn6Xp1ZX1ydF0/sphUaJgUyueBrQAzKwjp+2B2TcPRgn6EWeyXoAnFcQAyAGQAwglhig\nJ15ImPAYI3F9Qv0R0BMPfQYtSHPqC1pZWUlFXLvkuee8IaCjWl72/o8zenpnDuxVLUXWOzO2Howh\n9SKnJ577aOcBAIBJhN3OI4kXkigbdzteACE9MrjiZGaG+mFqO8ZCyleWjlvqE+V9w0cHDLEOua5L\n8/tGEs99JPEAAMAkGE6bdRcu9A2nDJyYW/K2u3AhvmPDdBKeUH9sAbHYtWhB50Tuea+7cJqGBWN6\nIw37vPK6Nv/Nv1P914+FP+xzWIx2SlF9mc97ya5du3I69fBRSQ15iVH5tw2deviodu3KqVh0JxG1\npWf4aOAQ6wh+rGCoPwAAALKOnnghCe0X2oALm74hlwO2A0K1U8/B16+r+LnPeo9J2vyd/1VzH/5j\nqoYFY3qJD/vMYO/WLoOGKT98NB29GysVLR0/rkvNnOrNje0h1o88Esn5oCceRmGM2Wet/XCC/0dP\nPAAAMDZ64mVdTw+GpaWl7om5l5bSe0GKdOmJRalj0YLf/d2tBJ4ee0y5b39b0uCJ3JFNZ896ybJq\ntaVicV5ewmSP/+geSUUVi/OqVluq1bztQ7VTjLZ7faW1vuw47pXLl7W2tiZJWltb84aqp+DztfTa\na7pYq6nebEiS6vWaLl68qKXjxyM5H6nvwYipGWP2G2NOBtzX8ktT0t3+/UeMMeeNMY8bYx5P5IAB\nAADGRBIvJs1mU0899ZSao4wn8y9Ml44f18WLF/3eBMEXQIkMHQsYwiYNGMaWoiFsURsrBlwxaKXH\nO3e09I1vbCUZcr951N1hwQ5JZQzsoCtpcuoLSiRpEvdqpFMaKQYmWPHUFV1DrC/9uQKHWDdz2nzw\nyPbKumEPi+4c6u/gCuBZqwdcYYy5V9I3JX2p56EnJO231uastXlr7T/495+31j5rrf2mpM8YY6Za\nOpvzCmIAxACIAcQSA9ZaSghF0rwkK8neuXPH9qrValaSrdVqfY91ajSsrdWsrVabtpifs1LBSrut\nZP3bgi3mdtlqtWlrNWs3NqyVvP+zZXXV2rvv9m6jMOD5a7WeY4n6OFJm1BhwUXlx0XrxXfBjsWAl\n2fLiYtKHlippjoFRlBcXbdGPkWJxjxcfMdUBaYnRkWLg/Pm+96zRsHZ52bvtsrrqbe+I5WXrv/+j\nleVlG/hd0fd9YoO369OzTbXatJJ3O/JzDBLSeQmKgTt37th2G0LSvHWgXZPGIumkpErPfe9KuiTp\nSMd9T0j6TsffT0t6echzh9LOQ3YRAyAGQAwgjnZe4g2urJRhjbtGo2GXl5dto6+l323cC6A/+INW\neBco4wjYT9fFEgm8PqPGgCu6EsrFPcEJ5eKerYRySl5WotIWA2PxP/PVq9+LrU5KY4xmOgbsiOck\nP9d/TsJIvoWZDIzw+YNigCReaG2xRwOSeE9Lqkhqyet9J0kvSvp6z/97e8hzb7XzPvjgA7uxsWFr\ntdpW2djYsF/5yldstVrdum+Q9uPNZjPw8UajYWu12sB6otVqsQ8H97GxsTGwfk/T62Afk++js35P\n8+tgH5PvY2Njw371q18NfJ40vQ72Mdk+Go3GVntgY2PDbmxs2PX1dXv79m2SeC6WYUm8UY18AbTv\ngD19/NO2UNibSK8Xa23XhUq5XPaP19pifs6WS6XwjiPFvVLSbKIeNZhNHXVBqEmTIYhRt5XL5eDe\nkaWStZ//fH+9fm3VLs+dt0/91m9vf58U99jyAw9Yu3v38PiJ47siop5+JPFCa4v1JfE6HnvIT+Tt\nk/RyO6HnP3ZE0o+HPPd8xzkaWJ588kkryR44cGDg+T548KCVZN96663Ax5eXl60ke/r06cDHb926\nxT7YB/tgH+yDfbAPx/bRfs4hZep2HqvThiSKVcuWlpZ08eJFeXMK1eXNJ9RQuVyW/ut/1cUrV/of\nW1z0Jj2Pi7/64MVaLfA4V1ZWQtlHplegdFSaV3pEjHo+d82mdO6ct4hFVzxE8PkkRh230+q0J/21\nB159ta9e355Dr+P75IEHtPIf/kP8ryFIBKsGszrtYMaYpyX93ICHr1tr3+zY9lFJT1hrA0+AMaYi\n6YKkz0j6qbX22Y7/96y19lM7HMdWO++DDz7QwsKC8gEVijGmnfRTcauB0q1e9+YOzefz2/Ncdmg2\nm2q1WsrlcoH7sNaq0WiwD/bBPtgH+2Af7MOhfbSfs3cfGxsbOnDgQPvuqdt5JPFCEkUSr/cCqJCb\n1xN56Y+/+10tfPrTiV6wdl08z8/7qw9GeCw9CYDNzZbm5nKqVlvatStHAi9iSydOuJE0hnsuXJAO\nHRrtc1epeAudnDkT+mEQo47pqJM3HzzSXV+3H/cTec2XX1XryDFtbDS0b19B0m5JRi4nY8OON5J4\n4fBXpv3SDkm8S/KSeEckHbXW/o5//ztHwdoAABZpSURBVDOS7rXWPrnDc4ffzgMAAJkXdjuP1Wld\n5V8ArVy9qrV17xyf+fIdfaO+rrnjv6l6fV3ehcNH/n/4SFJd9fq65uZyKpW83jBROXfO6zExN+cl\nGCM/lpStQDm1sFdrnIbjKz1iBFHG05kzo3/ujh2LJIFHjDqm50eVvpV1JS8WXn1VknRu8W2VSvIT\neJK0oaS+23bStfLutesKXHn32nVtbra2V95F3EzXH8bsM8bs77jrY9ba9623Iu39Hfd/Sl5yDwAA\nwG3Tjsel9M+VMs2ceNbavjl12nNMbWz48+Vd/Z6/AmRyk7iPtIpuBMeSlhUopxb1BO0THkeoKz0i\nPq7EUxSIUff0zE03cF46a61dXbVP/fe/4tflc369PpfYd9tOopyDkTnxQmmH3StvAYsfSfqkf9+j\nkn4s6bykxyXd1bH9Q/79T0v64gjPH147DwAAzAxWp3W0DGvcNZtN+9Zbbw1cHWVLwAVn0AVQ+YEH\n3Ehmra7acqkUfCzlcii7SOMKlEFGjoG2pJMTWU78JGTsGAhT0vEUhRTGaKIx4JDh9XpnQq9gn/qt\n3076kEP7LgqKAZJ47pfQ2nnILGIAxACIAcTRzmM4bUyazaZ+/dd/Xc1h42tu3uwbFprPe8PetuYA\nqlS08p/+k8oPPKBizrszkaFjHUN+y+Xy9jC2fEHlUsmbvDwEXUN3Ex5GPI2RY6At6SHEAbGYy0nL\ny95t33HevBnNcWTI2DEQpqTjKQopjNFEY8Ahw+v1Df/f3nQNByr/U+LDovN5byGlXbtyOvXwUUkN\necct/7ahUw8f1a5dORWLg+ftIwayifMKYgDEAIgBxBID02YBKaP9Qlur1ezBgwdtrat7yARc6U0T\nsJ+uYwnxOLLSE2/SGJiZIcQzILR6YArEU7JciAEXjNoT78MP6169fs2d3pTt77fy4qJ/7NYWi3u8\nz9AIxxgUA/TEc7/E1s5DahEDIAZADCCOdh6r04YkllXLAlZgrde93gy1mtdDYNB2UR9H4LFEcByz\nsgJl1+q/CwuJrkSM9COe4LKlf/kvdfGv/1rd9bok1eP9bhtFRCulszqt+1idFgAATILVaWeZK0PH\nAo4j8FjCPo4ZWoEyK0OI4QbiCc6qVLTyd3/nTQ/RUa8/9VvHtTx3Qbk3Our1pIdFByTo+lbe7Ri2\nnqXvJAAAALiBnngh4RfaiEXU+8FV9JxCmIgnOClt9fqFC9KhQ13H0mx6Se+zZ3s+M5WKl2w8c2ak\np6Ynnvto5wEAgEnQEw+zZwZ7P4Q1gTogEU9wUBrr9TNn+pKJfQtPtR07NnICDwAAABjVzCTxjDFP\nGGN+7JeTHfcfMcacN8Y8box5fNj9SIArw4iTMENDiBED4gmumOV6HQAAAJjQTAynNcbcL+l+a+23\n/ITci5L2W2t/Zox521r7KX+7iqQz1tqbg+7fYR8Ms0C40jbUDG4jngBnMZzWfbTzAADAJBhOO5m7\nrbXfkiRr7Tcl/VDSfcaYJyS917HddUlf9hN9P+y9f5oDqNfruueee1Sv14dvjEwaKwbSONQMQyVW\nDxBPzuC7AMRANnFeQQyAGAAxgDhiYCaSeNbaN3vu+pi19u8k/Zq6k3U/lHRfwP3v+/eP5KOPPlK1\nWlW9Xu8qt2/fVqPR2Pp7kPbjrVYr8PFms6l6va5msxn4uLWWfTi6j9u3b4+2j56hZs1mU81mXWfP\nNgOHmtm//dvMvVdZ3Uc7BmJ9He+8Ezh08exZL6629tEzdDHp9yqr+xhUD6TtdbCP8ffRfs7bt2+r\nXq+rWq1utRmQfoM+25gdxACIARADiDoGZiKJ18kYc0TecFpJuluS6Xj4Q3nJuo/1/Lefaowk3sc/\n/nHt3r1bpVJpq7SHXfze7/2eSqWSfv7nf37g///kJz+pUqmkGzduBD5+7tw5lUolLS0tBT7+93//\n9+zDwX384i/+om7duqVCoTB8Hz0TqJ87d067d5f0ox8tBU6g/vfHj2fqvcrqPgqFwlYMxPo6Hngg\ncEL+XM6Lq659dEzIn/XzkcQ+5ufn9Rd/8ReB9UCaXgf7mGwf586d22oPzM/Pa/fu3Zqfn9eBAwcG\nPgfSobN+x2wiBkAMgBhAHDGQ+jnxjDFPS/q5AQ9f7+2FZ4y5ZK091f63pJ9aa5/1/35U0rOS3g66\nvz1H3oDj2Jor5YMPPtDCwoLyAUs8GmPUfs+LxWLgc7V/1c/n89tD3To0m021Wi3lcrnAfVhr1Wg0\n2Af7YB/sg32wD/bh0D7az9m7j42Njc5EHnPiOYg58QAAwCTCnhMv9Um8cfgJvxettT/z/35c0lFr\n7e/4fz8j6V5Jfxt0v7X2yR2em8YdAAAYGwtbuI92HgAAmAQLW0zI7033lx0JvJP+Ihf3d2z2KUkX\nBt0f28ECAAAAAAAAHWZisLafwHvZ/3f77if82y8ZY85L+pGkirX2H4bcDwAAAAAAAMRqJpJ41tq/\n1IBeh/6ceb2r1w68HwAAAAAAAIjbzAynTVqz2dRTTz2lZrOZ9KEgIcQAiAEQAyAGsonzCmIAxACI\nAcQRAzO1sEWUhk14XK/XVSqVVKvVBq5ih2wjBkAMgBhAUAywsIX7aOdhGGIAxACIAcTRzqMnXkxy\nuZyWl5eVy/GWzypiAMQAiAEQA9nEeQUxAGIAxADiiAF64oVk2C+0AAAAQeiJ5z7aeQAAYBL0xAMA\nAAAAAABmDEk8AAAAAAAAwHEk8QAAAAAAAADHkcQDAAAAAAAAHEcSLyatVkvf//731Wq1kj4UJIQY\nADEAYgDEQDZxXkEMgBgAMYA4YoDVaUMybNWyer2uUqmkWq2mYrGYxCEiYcQAiAEQAwiKAVandR/t\nPAxDDIAYADGAONp59MSL0cGDB5M+BCSMGAAxAGIAxEA2cV5BDIAYADGAqGOAnnghGfYLLQAAQBB6\n4rmPdh4AAJgEPfEAAAAAAACAGUMSDwAAAAAAAHAcSTwAAAAAAADAcSTxAAAAAAAAAMeRxAMAAAAA\nAAAcRxIvJvV6Xffcc4/q9XrSh4KEEAMgBkAMgBjIJs4riAEQAyAGEEcMkMSL0e3bt5M+BCSMGAAx\nAGIAxEA2cV5BDIAYADGAqGOAJF5MjDF68sknZYxJ+lCQEGIAxACIARAD2cR5BTEAYgDEAOKIAWOt\njezJZ4kxZl7SHUm6c+eO5ufnux6v1+sqlUqq1WoqFotJHCISRgyAGAAxgKAYWF9f1969e9ub7LXW\nrid2gAhEOw/DEAMgBkAMII52Hj3xAAAAAAAAAMeRxAMAAAAAAAAcRxIPAAAAAAAAcBxJPAAAAAAA\nAMBxhaQPIIvW1/vnKaxWq5Kkn/3sZ5qbm4v7kOAAYgDEAIgBBMVAULsB7qKdhyDEAIgBEAOIo53H\n6rQhMcbcI+mDpI8DAACk2settf+Y9EGgG+08AAAQgqnbeQynBQAAAAAAABxHT7yQGGOMpAP+nx8l\neSwAACB19vi3ty2NM+fQzgMAAFMIrZ1HEg8AAAAAAABwHMNpAQAAAAAAAMeRxAMAAAAAAAAcRxIP\nAAAAAAAAcBxJPAAAAAAAAMBxJPEAAAAAAAAAxxWSPgAAyDpjzBFJRyS9J0nW2m8me0SIijFmv6SH\nrLWvdtwXeP6Ji2wyxjwh6bz/5+PtWCAOACC7qMtnA+08uNDOI4kXERdOLpJHRQ/feWvtpyTJGFMx\nxrxtrb2Z9EEhXMaYeyX9oaR9kl7teGjQ+ScuMsYYc7+klrX2Y8aYxyW9YozZb639mYiDTKGdB4l2\nHrpQl2cc7Ty40s4jiRcBV04ukkVFD2nrQu+9jruuS/qypN9J5ogQFWvt+8aYlyR9qX3foPNvjLku\n6Ye994u4SLu7rbXfkrwLdGPMGUn3GWP+RxEHmUE7DxLtPGyjrTcbaOdBjrTzmBMvGl0nV96Ju2+H\nD/njCj65SDFr7fuSXuq8jxiYSb+m7nP7vqT7EjoWRM/0/N17/n8o7/wTFxlkrX2z566PWWv/TsRB\n1tDOA+08dKIunx2082aYK+08kngRcOXkwglU9Lhb3XHwU3FuZ0nv+f9Q3vn/WM92xEXG+EPnXvT/\nJA4yhHYeOtDOg0Rbb5bx/T6jkmznkcSLGI149CAGZs+Pe/7er+6GPLJt0PknLrLvUWttu6cNcZBR\ntPPQgxiYTdTls4vv99mVWDuPOfHGZIx5WtLPDXj4esCvs49aa0/5/+ZDngETxEAnYmD2vCPpaMff\n90n6m4SOBdGzPX8POv9/O+B+ZID/PfFMx13EQUrQzgPtPEyAtt7soJ2HxNt5JPHGZK39o1G3Tfrk\nIhrjxICo6Gdex6SnbZ9Sd72AbOkaWjXo/Ftr/4G4yCZjzKOS/tJf5EDGmJPEQXrQzgPtPIyLtt5M\noZ0341xo5xlre797EAb/5L7jT3rbPrmvGmPetdb+M/++l7V9cgPvT+r4EQ4/Dp6w1h7ruI8YmDHG\nmIfkNd5/JOkn7QnRkS3+SoUvypv76CF/jqyB55+4yB6/zn+55+4nrLXfIg6yhXYeJNp52EZdnn20\n8+BKO48kXgRcOblIFhU9AADZQzsPEu08AEAySOIBAAAAAAAAjmN1WgAAAAAAAMBxJPEAAAAAAAAA\nx5HEAwAAAAAAABxHEg8AAAAAAABwHEk8AAAAAAAAwHEk8QAAAAAAAADHkcQDAAAAAAAAHEcSDwAA\nAAAAAHAcSTwAAAAAAADAcSTxAEzFGHOfMeYZY8w7xpjzSR8PAAAAwkE7DwDcQhIPwMSMMfskPSPp\nvKRDkmyyR5Q+xphDxpiXjTGtnvJ2b2PZGHOyZ9sfG2MuGWPuHWE/73X8n5f98lB0r2w6xph9Hcf5\nbsdrvivpYwMAYBbQzpse7bxgtPOAyRlrqYsBTMcYc0nSE5IuWGu/PMXz3GutfT+8I3NznwOO4yFJ\n1/0/raSj1tq/GrBtS9J7kn7NWvuzEZ//PUm/JOmXrbX/MPUBx8x/zVbS3aO+ZgAAMD3aeaEcB+28\nHdDOA0ZHTzwAYfhw2icwxuyX9EoIx+L0Pgex1r4p6Uv+n0bSqaDtjDHPaMyGXY8fT3aEibuZ9AEA\nADCjaOdNiXbeULTzgBGRxAPgilck7ZuBfQ5krf2mpL/0/3y0dxiEMeZ+Sc/K+/WWXykBAEBa0M6j\nnQcgBCTxACTOGPOipFjn7UhinyN6XNJP/X+/2L7T/zX5TUlfTOMwCQAAMJto53WhnQdgKiTxAIzF\nGHO/Mea6PyFvxZ+Ud/8O2z/qb/tjf+LaS72Pa7uR9cv+Nu8aY35jnOfp2fY+Y8wr/vbv+rcnJ9jn\n/f6EuxX/8Yox5umA/e33V257t+NYf2KMeXvQMQ5irf1Q0mf8P+/rmPT4TUkvWWu/O+5zDuO/Xxf8\n17jPfz0v+q/hx52v2X9t73RMynwoqucCAADxop1HO492HuA4ay2FQqGMVCQ9Km+ujd/ouO9xSS2/\nfL1n+1ck/amku/y/n/a3e1fSvo7tHvLv/y8D9jvS8/iPPePf/8mO+971t396jH0+47/WTwa81rfb\n++3YriWp6T/vux1//0bQ84/wXr/c8b5el/Q3U5679/zjuavn/oc69tX0X2NF0tc73ueWpJOSLvjb\nflHSJf/+H0fxXAHH/07Q8VMoFAqFQgmn0M6jnUc7j0JxvyR+ABQKJR1F0n3+F/DvBzxW6W3cyVvF\n7EcB27YbPuc77jsyqKE14fN8smfbp3uff8g+79/htZ73H6t03HdIPQ1cSfcG/f8x3u99HY3GlqRf\nmvL8BTbuOh5v7+dPB7x3LUmfHnDeT0b1XB2P07ijUCgUCiWiQjtv6zHaef3nnXYeheJQYTgtgFFd\nkLf0+58FPBa0olT7F7heb/q3j46x31Gf50VJ71hr/65zQ2vtH8k77jMj7vOb8l7rXwY81p6/5IjZ\nnpD4/fau5P0aKWvt+9ba/2PE/fWx3nCLZzvuenbQtiF5X97xv9hzf/t9/ontH+LRft33RvhcAAAg\nerTztvch0c5r/x+Jdh7glELSBwAgNU7K+1IeulqWMeY+eb8wftYYc7Tn4Y/Jm9D37jCfx9/2XnlD\nIPpYa08N21+HQ95/6Z9Y2Fr7vjHmpr/N/dpusLQfD2U1MeNNcHxG0k/kvcYnjDGvWGvf3Pl/xqo9\nMfPPOfZcAABgPLTzRDuvB+08wEEk8QAM5TecJK/b/yju929fmOZXyjGfZ9xjDGSMuX/4VvqhvMbd\np6bZ1xCvyBtK8jvyfr3cL+kVY8y9/q+3Lhk44XXCzwUAAIagndeHdl432nmAQxhOC2AU7YbTx8b8\nf/8spP2P8jztRsF9O241nG3/wxgzqMv/j3tuQ2WMuSDplyR9xm/IPe4/tF/eEBAAAICw0M7rRjsP\ngLNI4gEYxY/82/3GmH0jbP9D//YzO220Q+Op7b0xnqe97VS/mlprO+d9GfRrbbuR+840+wpijDki\nb2Lgz7SHbFhrX5X0hr/Jo8aYk2HvFwAAzCzaed1o5wFwFkk8AEN1NHiMvFXEhmk37vYPaogYY57R\n9q+qg37pbE+CO+x59nUc493GmPMDtr3U8edOv67+rbzX+tkBj98n75fcNwY8PhF/OEtF0hO9kzar\nu4H7zREb2QAAADuindeHdh4AZ5HEAzCq9mplXw74ZfWIf/vLkmSt/am/vZE3v0dXw8wfRvBrHQ2y\nn/i393Vss2+M52k3hP7Qv33GGHO+3QAyxuw3xryi7smQA/fp/7M9rOHR3kaU3wA7JOkPgyZEnpQ/\nwfF1Sdettd/qfdwfbtFedW2/vLlUAAAAwkA7T7TzALiPJB6AUZ2R98vrfknv+I2nJ4wxFW3PL/Ko\nMWbVGHOXv317JapXjDE/Mca8Z4xpSfoNa+3Wr5/W2vf9bY0x5pIx5mlt/xI88vNI+rq8X1cl6RlJ\nPzHG/ETer7G3OxtNO+3Tb3R+yd/0zZ4G3iuSXrHWfrnjvqAG4rjelLfq2h/usE3nPClHBv0SPaGP\nyWtE964a1h5SEjQRcfu+oP8T1nMBAIDo0c7zj0G089RzH+08wCXWWgqFQhm5SLok6b/IazCtSvqk\nvLk9viOvsdW57b6O7ZuS/kbSFwc870n/OX8k6euTPo+//Xl5K361t/30uPv0Hz8k6WX/ud72yxd7\ntnnGf46mX96W9PQY7+cTHcfa9P/9pwHbPS1vCEazo7T87X9jhP285/+fu3ruf8h/ja2O4/99/7FH\n/b/b+6v42++TdKHj/zT941sM6bl+X97Qmc7jfCfo+CkUCoVCoYRXaOfRzqOdR6G4XYy1Wwv0AAAy\nyhjznryV0O62/kTKaWKMeUfehUQqjx8AACAqtPOA2cFwWgAAAAAAAMBxJPEAAAAAAAAAx5HEA4DZ\nYSQdTfogJnTf8E0AAABmFu08YAYwJx4AzABjzMvyJnD+UN7qc5L0orX2zeSOajB/9bf2Km375TXu\nrKRfY64UAACAbbTzgNlBEg8AAAAAAABwHMNpAQAAAAAAAMeRxAMAAAAAAAAcRxIPAAAAAAAAcBxJ\nPAAAAAAAAMBxJPEAAAAAAAAAx5HEAwAAAAAAABxHEg8AAAAAAABwHEk8AAAAAAAAwHEk8QAAAAAA\nAADHkcQDAAAAAAAAHEcSDwAAAAAAAHAcSTwAAAAAAADAcSTxAAAAAAAAAMeRxAMAAAAAAAAcRxIP\nAAAAAAAAcNz/D+N5xTx7xd4hAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x7f9d196ddfd0>"
]
}
],
"prompt_number": 276
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 276
}
],
"metadata": {}
}
]
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment