{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "

CLEESE: An open-source audio-transformation toolbox for data-driven experiments in speech and music cognition" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This Python notebook contains code used in the paper : Burred, J.J., Ponsot, E., Goupil, L., Liuni, M. & Aucouturier, JJ. (2019) CLEESE: An open-source audio-transformation toolbox for data-driven experiments in speech and music cognition , to illustrate the analysis of reverse-correlation data from the paper's case-study #1 and #2. \n", "Uses the CLEESE toolbox, available from http://forumnet.ircam.fr/product/cleese.
\n", "Author: JJ Aucouturier (CNRS/IRCAM, 2018)\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "import glob, os\n", "import numpy as np\n", "from numpy.polynomial import polynomial as P\n", "import re, csv\n", "import pandas as pd\n", "from math import sqrt\n", "import seaborn as sns\n", "from numpy.polynomial import polynomial as P\n", "from scipy import stats\n", "from scipy.stats import linregress\n", "sns.set_style(\"whitegrid\")" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "

Case-study 1 : Speech intonation

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We give here a proof of concept of how to use CLEESE in a reverse-correlation experiment to uncover what exact pitch contour drives participants' categorization of an utterance as interrogative or declarative." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ " Stimuli: : One male speaker recorded a 426ms utterance of the French word 'vraiment' ('really'), which can be experienced either as a one-word statement or question. We used CLEESE to artificially manipulate the pitch contour of the recording. First, the original pitch contour (mean pitch = 105Hz) was artificially flattened to constant pitch. Then, we added/subtracted a constant pitch gain ($\\pm$ 20 cents, equating to $\\pm$ 1 fifth of a semitone) to create the 'high-' or 'low-pitch' versions presented in each trial. Finally, we added Gaussian 'pitch noise' (i.e. pitch-shifting) to the contour by sampling pitch values at 6 successive time-points, using a normal distribution (SD = 70 cents; clipped at +/- 2.2 SD), linearly interpolated between time-points.\n", "\n", " Procedure : 700 pairs of randomly-manipulated voices were presented to each of N=5 observers (male: 3, M=22.5yo), all native French speakers with self-reported normal hearing. Participants listened to a pair of two randomly-modulated voices and were asked which of the two versions was most interrogative. Inter-stimulus interval in each trial was 500 ms, and inter-trial interval was 1s. \n", "\n", " Analysis : We compute a first-order temporal kernel (i.e., a 7-points vector) for each participant, as the mean pitch contour of the voices classified as interrogative minus the mean pitch contour of the voices classified as non-interrogative. Kernels are then normalized by dividing them by the absolute sum of their values and then averaged over all participants for visualization. We use a one-way repeated-measures ANOVA on the temporal kernels to test for an effect of segment on pitch shift, and posthocs computed using Bonferroni-corrected Tukey tests." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Load data

" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false, "scrolled": true }, "outputs": [], "source": [ "result_dir = 'data/interrogative/results/'\n", "result_files = glob.glob(result_dir+\"results_subj*.csv\")\n", "results = all_results_df = pd.DataFrame()\n", "for result_file in result_files: \n", " participant_results = pd.read_csv(result_file, sep = ',', decimal='.', header='infer')\n", " results = results.append(participant_results, ignore_index=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Computes 1st Order Kernels (from Ponsot et al., 2018)

" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# first-order temporal KernelAudio (5-points vector) computed for each subject as the\n", "# mean(Pitch of voices classified as interrogative) - (mean P of voices classified as non-interrogative)\n", "segment_mean_pitch = results.groupby(['subj','segment','response'])['pitch'].mean().reset_index()\n", "positives = segment_mean_pitch.loc[segment_mean_pitch[\"response\"] == True].reset_index()\n", "negatives = segment_mean_pitch.loc[segment_mean_pitch[\"response\"] == False].reset_index()\n", "kernels = pd.merge(positives, negatives, on=[\"subj\",\"segment\"])\n", "kernels[\"kernel_pitch\"] = kernels[\"pitch_x\"] - kernels[\"pitch_y\"]\n", "\n", "# KernelAudios were then normalized in each condition by dividing them \n", "# by the sum of their absolute values and then averaged in each task\n", "kernels[\"square_pitch\"] = kernels[\"kernel_pitch\"]**2\n", "for_norm = kernels.groupby(['subj'])['square_pitch'].mean().reset_index()\n", "kernels = pd.merge(kernels, for_norm, on=[\"subj\"])\n", "kernels[\"norm_pitch\"] = kernels[\"kernel_pitch\"]/np.sqrt(kernels[\"square_pitch_y\"])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Plot the kernels

" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Python27\\lib\\site-packages\\seaborn\\timeseries.py:183: UserWarning: The `tsplot` function is deprecated and will be removed in a future release. Please update your code to use the new `lineplot` function.\n", " warnings.warn(msg, UserWarning)\n", "C:\\Python27\\lib\\site-packages\\scipy\\stats\\stats.py:1706: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", " return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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Al1aDVqOiX0QA3x7IYV+WyXV+B7+G1wsUTSMoyFliJyMjo96/rFuDirJImZmZ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\nf6Nf8KGhocJsNstl4eHh4qmnnpKnTSaTaN++vfjkk0+EEEKsX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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(10,5))\n", "plt.style.use('default')\n", "plt.subplots_adjust(wspace = 0.2, hspace = 0.8)\n", "\n", "ax1 = fig.add_subplot(121)\n", "plt.style.use('default')\n", "ax = sns.tsplot(time=\"segment\", value=\"norm_pitch\", unit=\"subj\", data=kernels.reset_index(), ci=95, ax=ax1)\n", "plt.xlabel(\"Segment\")\n", "plt.ylabel(\"Normalized Pitch Kernel (a.u.)\")\n", "plt.plot([0,6],[0,0],color='k',linestyle = ':')\n", "\n", "for subj in 1+np.arange(0,5) : \n", " ax2 = fig.add_subplot(5,4,4*subj-1)\n", " subj_data = kernels[kernels['subj']==subj]\n", " plt.plot(subj_data['segment'], subj_data['norm_pitch'])\n", " plt.plot([0,6],[0,0],color='k',linestyle = ':')\n", " _=plt.xlim([0,6])\n", " _=plt.ylim([kernels.norm_pitch.min(),kernels.norm_pitch.max()])\n", " plt.title(\"Subject \"+str(subj))\n", " ax2.title.set_fontsize(8)\n", " \n", "plt.subplot(5,4,4*subj-1)\n", "plt.xlabel(\"Segment\")" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Python27\\lib\\site-packages\\seaborn\\categorical.py:3666: UserWarning: The `factorplot` function has been renamed to `catplot`. The original name will be removed in a future release. Please update your code. Note that the default `kind` in `factorplot` (`'point'`) has changed `'strip'` in `catplot`.\n", " warnings.warn(msg)\n", "C:\\Python27\\lib\\site-packages\\seaborn\\categorical.py:3672: UserWarning: The `size` paramter has been renamed to `height`; please update your code.\n", " warnings.warn(msg, UserWarning)\n" ] }, { "data": { "image/png": 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Lf2+F4fibwhp0qjSDPIOIhmrX+RpRCfat4y0rCTW1esoIRAf5GI5PlDbhZFnT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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "g = sns.factorplot(x=\"segment\", y=\"norm_pitch\", col = \"subj\", data=kernels.reset_index(), \n", " capsize = 0.1, ci = 95, whis=np.inf, aspect = 1, size = 2.5)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "$ANOVA\n", "\n", " Effect DFn DFd SSn SSd F p p<.05\n", "\n", "1 (Intercept) 1 4 7.947374 0.3000443 105.94933 5.024700e-04 *\n", "\n", "2 segment 6 24 24.067187 2.6853948 35.84901 7.840077e-11 *\n", "\n", " ges\n", "\n", "1 0.7269286\n", "\n", "2 0.8896433\n", "\n", "\n", "\n", "\n", "\n", "\t Simultaneous Tests for General Linear Hypotheses\n", "\n", "\n", "\n", "Multiple Comparisons of Means: Tukey Contrasts\n", "\n", "\n", "\n", "\n", "\n", "Fit: lme.formula(fixed = norm_pitch ~ segment, data = data_anova, \n", "\n", " random = ~1 | subject)\n", "\n", "\n", "\n", "Linear Hypotheses:\n", "\n", " Estimate Std. Error z value Pr(>|z|) \n", "\n", "1 - 0 == 0 0.05428 0.20652 0.263 1.0000 \n", "\n", "2 - 0 == 0 -0.19967 0.20652 -0.967 0.9611 \n", "\n", "3 - 0 == 0 -0.06437 0.20652 -0.312 0.9999 \n", "\n", "4 - 0 == 0 0.27082 0.20652 1.311 0.8469 \n", "\n", "5 - 0 == 0 2.38530 0.20652 11.550 <0.01 ***\n", "\n", "6 - 0 == 0 0.44022 0.20652 2.132 0.3336 \n", "\n", "2 - 1 == 0 -0.25395 0.20652 -1.230 0.8828 \n", "\n", "3 - 1 == 0 -0.11865 0.20652 -0.575 0.9975 \n", "\n", "4 - 1 == 0 0.21654 0.20652 1.049 0.9426 \n", "\n", "5 - 1 == 0 2.33103 0.20652 11.287 <0.01 ***\n", "\n", "6 - 1 == 0 0.38594 0.20652 1.869 0.5014 \n", "\n", "3 - 2 == 0 0.13530 0.20652 0.655 0.9949 \n", "\n", "4 - 2 == 0 0.47049 0.20652 2.278 0.2547 \n", "\n", "5 - 2 == 0 2.58498 0.20652 12.517 <0.01 ***\n", "\n", "6 - 2 == 0 0.63989 0.20652 3.099 0.0323 * \n", "\n", "4 - 3 == 0 0.33519 0.20652 1.623 0.6673 \n", "\n", "5 - 3 == 0 2.44968 0.20652 11.862 <0.01 ***\n", "\n", "6 - 3 == 0 0.50459 0.20652 2.443 0.1809 \n", "\n", "5 - 4 == 0 2.11448 0.20652 10.239 <0.01 ***\n", "\n", "6 - 4 == 0 0.16940 0.20652 0.820 0.9830 \n", "\n", "6 - 5 == 0 -1.94508 0.20652 -9.419 <0.01 ***\n", "\n", "---\n", "\n", "Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n", "\n", "(Adjusted p values reported -- single-step method)\n", "\n", "\n", "\n" ] } ], "source": [ "from rpy2.robjects import r,pandas2ri\n", "pandas2ri.activate()\n", "from rpy2.robjects.packages import importr\n", "base = importr('base')\n", "ez = importr('ez')\n", "df=pandas2ri.py2ri(kernels)\n", "\n", "r_anova = r(\"\"\"\n", "library(ez)\n", "function(df) {\n", " segment <- as.ordered(df$segment)\n", " subject <- as.factor(df$subj)\n", " norm_pitch <- as.numeric(df$norm_pitch)\n", " data_anova <- data.frame(subject,segment,norm_pitch)\n", " ezANOVA(\n", " data=data_anova,\n", " dv=norm_pitch,\n", " wid=subject,\n", " within=segment,\n", " detailed=TRUE)\n", "}\n", "\"\"\")\n", "print r_anova(df)\n", "\n", "# returns multcmp posthocs\n", "r_lme = r(\"\"\"\n", "library(nlme)\n", "library(multcomp)\n", "function(df) {\n", " segment <- as.ordered(df$segment)\n", " subject <- as.factor(df$subj)\n", " norm_pitch <- as.numeric(df$norm_pitch)\n", " data_anova <- data.frame(subject,segment,norm_pitch)\n", " Lme.mod <- lme(norm_pitch ~ segment, random = ~1 | subject, data = data_anova)\n", " #summary(Lme.mod)\n", " #anova(Lme.mod)\n", " summary(glht(Lme.mod, linfct=mcp(segment = \"Tukey\"), test = adjusted(type = \"bonferroni\")))\n", "}\n", "\"\"\")\n", "print r_lme(df)\n", "\n", "\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "## Case-study 2: musical rhythm" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here, we give a proof of concept of how to use CLEESE in a reverse-correlation experiment to uncover what temporal contour drives participants' judgement of a rhythmically competent/accurate rendition of the well-known song Happy birthday.\n", "\n", " Stimuli : One female singer recorded a a capella rendering of the first phrase of the French folk song 'Joyeux anniversaire' (translation of English song 'Happy birthday to you'). We used CLEESE to artificially manipulate the timing of the recording by stretching it between different breakpoints. First, we manually identified the time onset of each sung note in the phrase, and use these positions as breakpoints. Second, the original temporal contour was artificially flattened (i.e. all notes were stretched/compressed to have identical duration), while preserving the original pitch of each note. The duration of this final stimulus was 3203ms. Then, we added Gaussian 'temporal noise' (i.e. time-stretching) to each note by sampling stretch values at 6 successive time-points, using a normal distribution centered at 1 (SD = 0.4; clipped at +/- 1.6 SD), using a square BPF with a transition time of 0.1 s. The resulting stimuli were therefore sung variants of the same melody, with the original pitch class, but random rhythm (and overall duration). \n", "\n", "Procedure:\n", "Pairs of these randomly-manipulated sung phrases were presented to N=12 observers (male: 6, M=22yo), all native French speakers with self-reported normal hearing. Five participants had previous musical training (more than 12 years of instrumental practice) and were therefore considered as musicians, the other seven participants had no musical training and were considered as non-musicians. Participants listened to a pair of two randomly-modulated phrases and were asked which of the two versions was best sung/performed. Inter-stimulus interval in each trial was 500 ms, and inter-trial interval was 1s. Each participant was presented with a total of 313 trials. There were 280 different trials and the last block of 33 trials was repeated twice (in the same order) to estimate the percentage of agreement. After the test, all participants complete the {rhythm, melody, rythm-melody} subtests of the Profile of Music Perception Skills (PROMS, Law & Zentner, 2012), in order to quantify their melodic and rhythmic perceptual abilities. \n", "\n", " Analysis : \n", "A first-order temporal kernel (i.e., a 6-points vector) is computed for each participant, as the mean stretch contour of the phrases classified as 'good performances' minus the mean stretch contour of the phrases classified as 'bad performances'. Because stretch factors are ratio, the kernel is in fact computed in the log stretch domain, as mean log t+ - mean log t-, where t+ and t- are the contours of selected and non-selected trials, resp. Kernels are then normalized by dividing them by the absolute sum of their values and then averaged over all participants. A one-way repeated-measures ANOVA is conducted on the temporal kernels to test for an effect of segment on time-stretch, and posthocs are computed using Bonferroni-corrected Tukey tests. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### load data" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [], "source": [ "result_dir = 'data/birthday/results/'\n", "result_files = glob.glob(result_dir+\"results_subj*.csv\")\n", "results = all_results_df = pd.DataFrame()\n", "for result_file in result_files: \n", " participant_results = pd.read_csv(result_file, sep = ',', decimal='.', header='infer')\n", " results = results.append(participant_results, ignore_index=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "All participants did the same number of trials" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "subj\n", "1 320\n", "2 320\n", "3 320\n", "4 320\n", "5 320\n", "6 320\n", "7 320\n", "8 320\n", "9 320\n", "10 320\n", "11 320\n", "12 320\n", "Name: trial, dtype: float64" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "trial_count = results.groupby(['subj'])['trial'].count()/12\n", "trial_count" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### compute kernels" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# first-order temporal KernelAudio (5-points vector) computed for each subject as the\n", "# mean(Pitch of voices classified as interrogative) - (mean P of voices classified as non-interrogative)\n", "results['log_stretch']=np.log(results['stretch'])\n", "segment_mean_stretch = results.groupby(['subj','segment','response'])['log_stretch'].mean().reset_index()\n", "positives = segment_mean_stretch.loc[segment_mean_stretch[\"response\"] == True].reset_index()\n", "negatives = segment_mean_stretch.loc[segment_mean_stretch[\"response\"] == False].reset_index()\n", "kernels = pd.merge(positives, negatives, on=[\"subj\",\"segment\"])\n", "kernels[\"kernel_stretch\"] = np.exp(kernels[\"log_stretch_x\"] - kernels[\"log_stretch_y\"])\n", "\n", "# KernelAudios were then normalized in each condition by dividing them \n", "# by the sum of their absolute values and then averaged in each task\n", "kernels[\"abs_stretch\"] = abs(kernels[\"kernel_stretch\"])\n", "for_norm = kernels.groupby(['subj'])['abs_stretch'].sum().reset_index()\n", "kernels = pd.merge(kernels, for_norm, on=[\"subj\"])\n", "kernels[\"norm_stretch\"] = kernels[\"kernel_stretch\"]/kernels[\"abs_stretch_y\"]" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# first-order temporal KernelAudio (5-points vector) computed for each subject as the\n", "# mean(Pitch of voices classified as interrogative) - (mean P of voices classified as non-interrogative)\n", "results['log_stretch']=np.log(results['stretch'])\n", "segment_mean_stretch = results.groupby(['subj','segment','response'])['log_stretch'].mean().reset_index()\n", "positives = segment_mean_stretch.loc[segment_mean_stretch[\"response\"] == True].reset_index()\n", "negatives = segment_mean_stretch.loc[segment_mean_stretch[\"response\"] == False].reset_index()\n", "kernels = pd.merge(positives, negatives, on=[\"subj\",\"segment\"])\n", "kernels[\"kernel_stretch\"] = kernels[\"log_stretch_x\"] - kernels[\"log_stretch_y\"]\n", "\n", "# KernelAudios were then normalized in each condition by dividing them \n", "# by the sum of their absolute values and then averaged in each task\n", "kernels[\"abs_stretch\"] = abs(kernels[\"kernel_stretch\"])\n", "for_norm = kernels.groupby(['subj'])['abs_stretch'].sum().reset_index()\n", "kernels = pd.merge(kernels, for_norm, on=[\"subj\"])\n", "kernels[\"norm_stretch\"] = kernels[\"kernel_stretch\"]/kernels[\"abs_stretch_y\"]\n", "#kernels[\"norm_stretch\"] = np.exp(100*kernels[\"norm_stretch\"])\n" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": false }, "outputs": [], "source": [ "proms_results = pd.read_csv(result_dir+'/proms.csv', sep = ',', decimal='.', header='infer')\n", "kernels = pd.merge(kernels, proms_results, on=\"subj\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### plot the kernels" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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X3Ax+zvrY09pw5LRevukyje4TXvXF1RAjejQrV+P64VNZ\neuDzberWor6eGdxe3cOrbtek6mZz43pgYKBFV79hGOrfv7/FHMMwZDKZVFTkuA87AAA1w5ebLVdb\nv6tn8wrf/VXf10Ofju2hYe+vU0ZuyRucxIxc3TdnixZM6CMfjwptEFJj7U/M0PSVh/XL3kQVXvCD\ny9VtQ/TINa3Vs2XdeSMCAACASwvwcddjA9rq4XnbS33N081Ft3RpoqcGt1eQb83f9txkMumlmy5T\nQnquVu1PNo8/u3iPwgK9dXXbkDKOBgAAACruVGaefjt0fkfpYD9PXVUDGzQ6hPnr/bu6auL87cqz\n0rwe6u+lOff2sGhal0pWVAz281Swn6fVlRMNw1BGbuGfTexnzau1n2tqP/c4/WxBheovLmfDIWAv\nc9Yfu2jT+oVOZeZp/Nyt+u8TfZ1ipeF9CRlaFBNvfuzh6qInrmtbjRVJkwe115bjZ7TzjzRJUm5B\nsR6et11LJ17hdL/vg2OEN/At3/zg8s2vjd5ZfrDU7+bHRofr4X4RNh3/0NURSssp0MzfjpjHFsec\nVKCPh6YM7VjnVngF7C0lK0/3zrFs5m0S6K2P7+kubw/XaqzM0siezRXk66FHv9xhvkk2K69QY2dv\n0TsjuuiGzmHVXCFqstTsfI2fu/WiTevnGIb0wtK9atuonnq1alCF1dUMhmFoy7EzFTp22/Ezun3G\nBg3o0EhPDWpXo3dXthebfzL49ddfHVkHAKAWycgt0Pc7E8yPPd1cNCyqaaXOGRHipxmju2nMp5vN\nzdx7T2bosa9iNOPubnJ1kru91x5K0fi5Wy+6os3/Dp7S2sMpeuO2zrqtW+X+PgEAAOBcVvyeZPH4\nzh7NdFWbEF3RuoECfWp+w/qF3FxdNH1klEbM3KA98SWrMRYVG3r4i21aMCFaHRuzkx8AAADsb+nO\nkxYrIN7cpbHcamjj6nUdG+mHR6/UJ2uOasnOeOUWlDSWBPt5aESPZhp3RUsF+3lW6Nwmk0kB3u4K\n8HZXu1Drvww/m1+kxIxcHUjM0EPztsvWfvSIEOdZyRq1R1GxoY/XHL30RElHU7K14vckDe5U+5uz\n3vzlgEU2R/dpoSaB1bu7r4ebi/4zMkpD3lujzD8XqzqcnKUpS/bqzVqwUxyq302RjfXKsn2X3Hnk\nnC5NL36jlrOYs/6Y3lt12GLspsjGeuFG2xvOTSaTnhncXmk5+RY3+Hy2/pgCfdz1+IDqveEFqM1y\nC4r0wNyt+iP1rHnM18NVn9zTXQ3reVVjZRd3/WWh+vzenrp/7lbz63R+UbEmfrldqdl1e6VslO2r\nLXE6k3Ppm5sNQ5r525E62bg+fdVhLdoRf8l57Rr5aVTvFvp07VEdP51j8bUV+5K0an+Sbu/WVI8P\naKvG1fze3pFsbly/+uqrHVkHAKAWWbwj3qLx+sbOjRXg417p80ZHBGvqsE6a/O0u89jy35P0+s/7\n9Y8hHSp9/uqWmJ6rCV9sK3Mb1qJiQ5O/3aW2jeqpk5N/0AIAAADbnM0v0i8XbAXs4+GqF4Z2rNUr\nlfl6umnWPT007IP1ik8r+VA/O79I9362RYseiVZYgPN+GAcAAIDq8d12y5WYb+3apJoqsU2bRvX0\n+u2d9dLNlykxPVeuLiaFBXhVWbO9t4erWgb7qmWwrwZ2bKRf9iZd+iCV3GQLVLXNR1PNP1va4tvt\n8bW+cX3z0VSLnczqebrpkWtaV2NF5zUL8tGbt0dqwhfbzGMLtp1Qn4gGurUrCzehbPV9PTT6z2Yu\nWzzw+TZ9ck8Pp9zR+oddJ/Xi93stxq5qE6xpd0TKpZyLvplMJk0d1knpZwssXtPfXXFI9X08dE90\nuD1KBuoUwzA0eeEubY9LM4+5mKT/3NVVHcJq7uIsvVo10DcP9tE9szYrOTNPUkmz8fNL9upUZp6e\nuK4tOzGglG+3lb2z0YVWHUhWSlZehW+2ro0W7Tiht5cftBi7qk2w3F1M2peYKcOQWjf004gezXT9\nZaHycHPRyJ7N9dXmOP175SGlZOWbjys2pG+2ntCSmJMae0W4Hr66tV168mqaCn2yMXv2bC1YsKDU\n+IIFCzRnzpxKFwUAqLkMw9D8TZZbkd3Vy34fRA/v0UwTrrbc1mzmb0f01V+2P6uNPt94TFllbJtz\nTsnKIEcuOQ8AAAB1w6r9ycrOP3/z48COjWp10/o5Df29NHtcD9XzOv9cEjNyNW72FmXmXnrlDgAA\nAMBWBxIztfdkhvlxu0b11LEGN5NcyMvdVeHBvmoW5FNtK8Q/3K+13F0v3bzSooGPbu5Ss28IgHMq\nT9O6JJ0s5/yaxjAMvf7zfouxB/q2UpBvzdmRbdDloRr7l0bY5xbv0eHkrOopCLXK04PbK6pZoE1z\nM3ILdfenm7Rsd8KlJ9ci6w6n6ImvYyx2VejcNEAf3t1NHm4Vez/g5uqif98ZpegIy1VwpyzdqyUx\nl1QjfloAACAASURBVF4hFoCld1cc0tKdJy3Gpgy9TNe0b1hNFdmuQ5i/vn0oWi2DfS3G31t1WP9Y\ntMdipypAkv44Y/v7Z8Oo/e+3y2PjkdOavHCXxdhVbYI1a2wPzRrXUxue6a+N/+ivL+7vpaGRjc2v\n4+6uLhrdJ1z/m3SNnhjQVr4erhbnyCss1kf/O6Kr3lilj/4Xq9wyFkmtjSr0bubVV19VcHBwqfGG\nDRtq6tSplS4KAFBz7fgjTfsTM82P2zWqp67N69v1GpOvb6dBl4VajD23eI/WHU6x63Wq2sJy3IH4\n054EZdvQ5A4AAADn99dfHN3UpXE1VWJ/bRvV00d3d7NogtmfmKmH521XQZFtW0IDAAAAl/LdjtKr\nrbOKoO0imwXqnRFdymxeN0maPjJK3n/5ZTtQFTzL2cTp6V49N4HYy4p9ydp2/Iz5cbCfp+69smU1\nVnRxzwxpr8ubnL9JKCe/SBPnb3e6phvYn7urixr4XfxGjNYN/TSmd3P5XPB6k19YrEfmb9csG1dp\nr+l2n0jXA3O3qqDo/9m77/Cm6u8P4O8kbbr3XrRQoKXQvSjIHiKKyAaRvQRUHCj6VVGcqIg4EGTv\nKUtENhSQ0b1oKaNAS1s66aA7Te7vD34muS0dKUlukp7X8/R5/Hz6uc2Rp7e5ufd8zpEljnayNcHm\n6aEwNXi2YhaG+gKsmxoCvwadv9/bl4Tzcl0cCCHNO5yQg5/P3mbNTYtw16ruBW7Wxvjz9YhGfw92\nR2dh4U56vyZsQgU3UetztOla3e4UVGDe9jjWe7a3oxlWTw5q9b+BiYEeFg3uggsfDMD0Xh6NPneX\n19Tj2+PpGLAiEvtiHujMxpI2/YZkZWWhY8fGH3zc3d2RlaX9FXEJIYQ0bXejausdlH6Dn8/n4acJ\nAawL5HoJg9d3xGltJYa6egnyy2tbvV4kZpBXXqPCiAghhBBCiDYoqxYh8mahdGxlrI8+Xew4jEj5\nenW2xfLRfqy5S7eL8PGhFDCMbtyAI4QQQggh3BFLGBxOkG0G5fFAVcHb4CU/Z/z1xnMYE+T61Eqv\nDIALcp9dCFGnIHcrKPKoKsRduQWZ1EksYfDDSXa19bcGdYbJMyazqoKBngC/TQpiJdqm5z3GsqNp\nHEZFtMHDsmqck0uiNjfUw5+vRyBycX+cfqcvvnjFF3vnRsDW1EC6hmGAL/5Ow9fH0iDR4oSue0WV\nmL45mtV90cHcAFtnhsFG7v/3WZga6GHLjDB42skqLf/3LD7m/iOlvAYhuiz2/qNG1ZX7e9nh05d8\nOIqo7WxMDbBrTk/06cIuYHwiNQ/TNkWjXK4zal29BBW19XTPvp0K7NC6TijAk/fthtX8dVFRRS1m\nbIlGWbXsPLE3M8Cm6aEwN9RX+OfZmhrg85e74+y7/THyKQWsHpbV4IMDyRi26iJOp+Vr/bnYpsR1\ne3t7JCcnN5pPSkqCjY3NU44ghBCiC8qqRTiaLGt1ZKjPxyuBqrnBbyQUYMPUEDhZGErnHtfUY+aW\nGDyqrFPJa6qSgK94cr+iOxYJIYQQQojuOXk9D3VylceH+zrpZKWKMcGueGdwV9bcvths/HbuDkcR\nEUIIIYQQXXE1o5hVVOS5zrZwlLvvTFqvm5M5fhzvj8SlQ3B+cX9smBrC+v7mK/dRXUeVGYn6uVga\nYZC3favXByi5k7A6HYzPxq18WZGnDtbGmBjagcOImudha4LlY3xZc7ujs/BXUm4TRxAC7Il+APnc\n8wmhbgjxsIaHrYm0oJqvqwUOLeiFTg0S49ZfuodFexNRW69970cF5TWYsjEKxXLPws0N9bB1Zhjc\nrI2V+lrWJkJsnxUOZ7lrotp6CWZuiUFabrlSX4sQXZJZXIm52+NY9+y9HMzw66RA6GnpfXtTAz1s\nnBaKEf7sRNmoe48wfu1VbLh0FyN/+xddPzmOHp+dROCXp7HsaCoyiys5iphwYXJ46683XSyNdD7f\nqUYkxuytsXjwqFo6ZywUYNP0UDhbGj3Tz+5gY4yfJwbi7zefa7SpBABuF1RgzrZYjFt7FbFavOGs\nTb8hkyZNwltvvYXz589DLBZDLBbj3LlzWLRoESZOnKjsGAkhhGiII4k5qBHJLsBf8nOGhZHiu8Ra\ny97cEBunhbJavWU9qsK87bFadbOhvEaE706kQ5HUdXszg2e+mCGEEEIIIdrvSFIOa/yyf+MqC7ri\nrUGdMTbYlTX34+lbOJSQzVFEhBBCCCFEFxyMZ19Pjg6iauvPylj4pILeYB8H1oP0R5V12Bf7gMPI\nSHu2ZJg3jPRbl/7w4Z/JiMssUXFEylcjEmPVmdusufeGdn1qFwRN8pKfM15tkOz00YFk3CuihDfS\nWL1Ygj0x7A7gk8KeniznZm2MP+f3QlCDKrBHk3IxdSO7AqqmK6sWYeqmaGSXyBLgDPT42Dg9FN6O\n5ip5TWdLI2yfHQ5rE6F07nFNPaZuisZ9Oj8JaaSsWtSo0KKtqQE2Tg+BWRuqK2sSoR4fP08IwPRe\nHqz59LzH+OrYDSRll0nnSqtE2Hz5Pob+dBEnU/PUHCnhyhAfR9iaClteCOBG3mN8eDAZYi3ugNIc\niYTBO3sTkfigVDrH5wG/vRqIHi4WSnudHi4W2D4rHDtmhcP3KT83NrMEY9dexZxtsbid/1hpr6su\nbfoE8+WXXyI8PByDBg2CkZERjIyMMHToUAwcOBBff/21smMkhBCiARiGwa6o1t0kUCYfZ3P8OikQ\n8gXLY+6X4MMDKRrf9kQiYbA3JgsDV0Ri3cW7UCTaYT0c21SlnRBCCCGE6I6C8hpcySiWjp0sDBHq\nYc1hRKrF4/HwzShf9O7M7ub3wZ/JuCr370AIIYQQQkhrVdbW4/h1WTKFsVCA57s7chiR7pnf35M1\nXnfxLkRyFSgJUZfO9qboaGfaqrWPa+sxbVM04jK1q0LhjmuZyCmVJbV2dzbHCD/t2OC+9CUfeDua\nSceVdWK8sSseNSLtKVRF1ONsegGrU0ovTxt0aubctjYRYufsnhjq48Caj7r3COPWXkGu3DmjqWpE\nYszZFov0PFnSmYDPw2+vBqn8XqCnnSm2zgiDqYGedK6oohavbYxCfnmNSl+bEG0iEkuwYGccMgpl\nmzoM9PjYMC0ErlbK7YjAFT6fh89G+OD9571atb62XoI3dyUgIUv7NgMSxZ1Oy0NRRV3LC//fvths\nvLsvEfU6+Nlw+Yl01n0GAFj2cncM9HZo4ohn81wXWxxZ2Bu/TgqEu03jvzen0/Lx/KqLWPJnMh6W\naf51z3/alLguFAqxd+9e3Lx5Ezt37sTBgweRkZGBTZs2wcDAQNkxEkII0QDxWaWsD8vejmaNdq+r\nyqBuDvj4RR/W3KGEHPx67o5aXr8tYu8/wsjVl7HkQIpCF2//OZdegILHdDOAEEIIIaQ9+zv5IeT3\nar7s7wy+jm9uFOrxsea1YHg5yB5mi8QM5m2PxZ0C7asYQQghhBBCuHUyNQ/VckmRw3o4wlio18wR\nRFERnWzg7yZ7VpBTWo2/k3M5jIi0V1fvFiMtt1w61hfw4GplBC8HM0yNcMfPEwNgJpeYWVFbj6kb\noxFzXzuS18trRFh9nv1c7INh3lpzn8BQX4DVk4NYXZZTc8vxzT83OIyKaKKdDQqpTQ53b/EYI6EA\na14LxpSe7LW38isw+vcrSM8rb+JI7tWLJXhrdwKi77H/Fn07yhdDfFSTANeQr6sF1k8NYXVvyC6p\nxtSN0SitUvw5NyG6hmEYLD1yHZfvsIur/DQhAAFu6smZURcej4eFAzpj5nMdW7W+TizBz2dvt7yQ\naLXiilp8fOg6a87DxhiO5oawNTVAqIcVvh3VA4O72bPWHEnMxZu7E1BXrzvJ69uvZWLdxbusudnP\ndcSUCA+Vvi6fz8MIf2ecfqcfvhjZvVH1ewkD7I19gP4/RGL58XSUVWl+15k2Ja5/8cUXqKqqQpcu\nXTBu3Di89NJLcHd3R3V1Nb744gtlx0gIIUQD7I5m3yR4NbwDeDz13Qyb2dsDr/VkV3hfefoWjiZp\n1g3wh2XVWLQnAWPXXkVKTlmj77/o6wR/15Zbw2SXVGPaphiU12j+xQQhhBBCCFGNIw2udUf4a0cV\ntWdlbqiPzTNCYW8mK45QXlOPaZtiaHMnIYQQQghRyMH4HNZ4dKArR5HoLh6Ph/n92FXX10RmQKKj\nbeGJZmIYBqtOs5OmPnyhG/5dMhAn3+mLL0b2wMgAF+yYHQ5zQ1nyemWdGNM2RSPqruZ3+Vp/8S5K\n5BJQenayRt8uthxGpDhPO1N8PaoHa27b1UwcT3nIUURE02QVV+HS7ULp2NbUoNXJ2wI+D1+M7I4l\nw7xZ83nlNRi35iquZBQpNVZlYBgGnx65jlNp+az595/3wvhQN7XGEuFp06gL+s38x5i5JQZVdfVq\njYUQTbPh0j3sjn7Amnv/eS8M93XiKCLVyy1pfdXmC7cKWR1hiG5hGAYfH7qO4krZRqauDqY48XZf\nXPvfIMR+Mhj7X++FSeHuWPNacKPnWMev52H+jjid6LJzPr0Anx1hJ/A/390B/xveTW0xCPX4mBrh\ngcj3B+DtwV1gIrcpFHjSCWHthQz0/eE81l3MeOq/e3peOQ4n5OBwQg5r46+6tSlxfdmyZaioqGg0\nX1VVhWXLlj1zUIQQQjRLWbWIVSHFUJ+PkQEuao2Bx+Ph8xHd0afBTbj39ichLpP71kM1IjF+OXsb\nA1dcwJHExsn0/q4WODC/F1ZPDsLBBb2xYWoIBnrbw8HcAHZmBujZyRoze3uwbgbceFiOOVtjdeIC\njhBCCCGEKOZ+USWSHpRKx552JujubM5hROrlbGmETdNDWTfdckqrMWtLLD0sI4QQQgghrZJXVoPL\ncklqjuaGiPC04TAi3TXUxwGedibS8a38CpxLL+AwItLeXM0oRrRc5XQ7MwNMDu/QaJ2/myV2zu4J\nCyN96VxVnRjTN8fgaobmJq8XPK7Bhkv3WHNLhnmrtcCUsowKdMX4EPYmog8OJCOruIqjiIgm2R2T\nxeo+OCHUlVUFvCU8Hg/z+3vipwn+0JN76Pq4th7TNkXjSGJOM0er38rTtxolw87o7YEF/T2bOEK1\nnu/uiO/G+LHm4rNKMW97nE5VyyVEESdT8/DNcXZ3kLHBrpydp+qiSKcKhgFuanBnC/Js/krKxYnU\nPOlYwOfhx3EBMNQXNFqrL+Bj1YQAjAliX+udTS/AnG2xqK7T3tyn6zllWLgrHvL7s/3dLLFqQiAn\nHZBMDfTw9uCuiHx/AKZFuLOue4AneX7f/JOOgSsisT/2AcQSBhdvFeKV1ZcxbNUlvL03EW/vTcTw\nXy7h5d/+xbn0/CZeSXXalLjOMMxTPwQlJSXB2tr6mYMihBCiWQ4n5KBGJPswOsLPmXVTT130BHys\nnhyELvam0rm6egnmbovFg0fc3NBiGAb/pDzEoB8vYOXpW6y2s8CTSgA/jPXDoQW9EexuBeDJhdxg\nHwdsmh6KqP8NRszHg7FnbgSWjuiOb0b5so6PuvcIb+9JhJiq0xBCCCGEtCsNOwuNDHDRygfSz6KH\niwV+mxwEgdwNt5ScMry1O4GujwkhhBBCSIsOJ+awkt9GBjqzri2J8vD5PLzeoOr675F3wDB03U5U\nj2EY/HTmFmtufj/PpybTAICvqwV2zg6HpbHsOVe1SIwZW6Jx+Y7mVWQGgN/O3WE9fxrW3RGBHaw4\njOjZLHu5B+tZ3+Oaery5O54SY9u5unoJ9sXIkrh5PGBiaOMNKK0xKtAVW2aEwdRA1mFBJGawaE8i\n/riQoRHvT1su38Ov5+6w5kYGOOPTF304vQc4LsQNn7zIrhx76XYR3tlHz6tJ+3M9pwxv70lkfaYI\n72iNb0b56vy9ekVPdw34s0pUIL+8BkuPpLLmFg7oDF9XiyaPEfB5+GGsHyaFsd/DL90uwvTN0aio\n1b7CRA/LqjFrawyq5BLvXa2MsGFqCIyET//MoS52ZgZYNrIHzr7XDy8/pWtzblkN3v8zGb2Wn8XU\nTdFIlCuY9Z/k7DLM3BKLHdcy1RGylEKJ61ZWVrC2tgaPx0PXrl1hbW0t/bKwsMCQIUMwfvx4VcVK\nCCGEAwzDYFdUFmtu0lOqVKiLuaE+Nk0PhY2JUDpXXFmHWVtjUF4jauZI5bvxsByT1l/Dgp3xjVof\nCQV8vN7PE+cX98O4ELdW77CbGNYB7z/vxZo7kZqHTw5f14ibKIQQQgghRPUYhsHhBhWgnnbDqT0Y\n4GWPL0ey24ifuVGAZUdT6fqYEEIIIYQ0iWEYHIzPZs2NDnRtYjVRhpEBLnCyMJSO47NKEXOf+26p\nRPddyShm/a7Zmxng1RaeY/VwscCu2T1hJZe8XiOSYOaWGFy6XaiyWNsis7iS9ZyOzwMWN3iOpG2M\nhAKsnhwEQ31ZukpSdhmWH0/nMCrCtZOpeSiurJOO+3W1g5u1cZt/3nNdbLF3Xk/Ymxmw5r89no5l\nR9M4TcI+mpSLZX+nseb6drXDD2P9Oana2tDsPp2wcAB7Q9qx5If49Ag9rybtx3+JqvIbxzrammDt\na8EKdYLQVvIbzFrD006x9UTzMQyDjw6moKxalofV3dkcbwzo3OKxfD4P34zqgem9PFjzUfceYerG\nKLXndj2LxzUizNgcg/zyWumcuaEetswIhV2DawwuuduY4JdJgfj7zefQp4tto+/Lx9+UT49cR3J2\n48R2VVHoL+mqVauwcuVKMAyDZcuW4aeffpJ+rV27Fv/++y9Wr16tqlgJIYRwID6rFDfzH0vH3o5m\nCHSz5DAiwM3aGOumhrA+ENzKr8DCnfGoF6u+GsOjyjp8fCgFL/5yCdfuPmr0/cHdHHDqnb748AVv\nmBkqXpl+QX/PRhdwu6OzsPL0racfQAghhBBCdEraw3JkFFZKx/6uFvCwNeEwIm69Gt4B8xu0Xt12\nNbNRm3RCCCGEEEL+k5pbjlv5FdJxDxdzeDmacRiR7hPq8TG7TyfW3O+Rd5pYTYhyMAyDnxo8O5nf\nv+lq6/J8nM2xa05PWMsVSqqtl2DW1lhcuKU5yes/nrqFerkE2/EhbuisYDKZJurqYIYvGmxU33T5\nHk5cf4irGcU4mpSL8+kFWpXYRJ7Nzih2lc/J4e7P/DO7O1vg0MLejc6ZLVfuY+HOeNQ06KStDpdu\nF+LdfewKzv5ullgzOUijkmEXD/VqtAloV1QWfjxFz6tJ29SLJTiVmofP/0rFkj+TsfLUTdyWy0PR\nJJW19Zi1JZaV6Glh9KTAopXcdYMumxDq1uq1EZ1s2vXzC121PzYb59ILpGN9AQ8/jvdv9XsVj8fD\nZyN8GnXmis8qxeT1USitqmviSM0hEkuwcFcC0vNkf6v0BTz8MSUEne018/5CDxcLbJ8Vju2zwtDD\nxVyhYxkG2PSv+p67KXTVM23aNEyfPh3nz5/HggULMG3aNOnXpEmTEBERoao4pVavXg0PDw8YGhoi\nPDwc0dHRTa5dv349+vTpAysrK1hZWWHw4MHNrieEENJYw2rrr4Z30Ii2R8HuVlgxzp81d+l2ET5X\nYeVFkViCzZfvof8P57EzKqtRe6TO9qbYNjMMG6aFPNOFOY/Hw9KXfBpV1fz13B1suUzJOYQQQggh\nuu6vpFzW+OUAF44i0RzvD/XCiAbXx1//cwP/pDzkKCJCCCGEEKLJDsazOxiNomrrajEx1A2WchWs\nI28WIi23nMOIiK67fKcYsZnsauuTwlrfNbibkzl2z+nJ6vJbVy/BnG2xOH+zoJkj1eN6ThnrHoGB\nHh+LBnfhMCLlGhfsitGB7Hse83fEY9L6a3hzdwJmbIlB+Ndn8dHBFBRVtFwlkmivOwUVrGJhThaG\nGOBlp5Sf7WJphAOv90KYhzVr/kRqHl7boN7EueTsUszbHgeRWPaQuZOdCTZPD4WJgZ7a4mgNHo+H\nL0f2wIt+Tqz5387fwYZLdzmKimir8zcL0O+HSMzdHoctV+5jb+wD/HLuDob8dBHTNkWj4HENZ7Ex\nDIOHZdW4W1iBxzUiiCUMFu1JQNpD2TXsk0TVYHRsR8nZA73t4eti0eI6Pg94c1DLFbiJdskuqcIX\nDTqDvDOkK7wdFUuE5vF4WDLMC283uH5NySnDxHXXNPr6jmEYLD1yHRcbbGhdPtoPEZ42HEXVen26\n2OGvhc9h1YQAKJLh909Knto29rVpu16/fv2QmZmJTz75BJMmTUJBwZMPbcePH0dqaqpSA5S3d+9e\nvPvuu/jss88QHx8Pf39/PP/889LXbygyMhKTJk3C+fPncfXqVbi5uWHo0KHIycl56npCCCFsZVUi\n/J0suyFmpC/AK4GakzTzsr8z3hnclTW341oWNl++r/TXunS7EMN/voRlR9NQXlPP+p65oR4+G+GD\n44v6oG9X5dxE4fN5WDHOv1ELl2V/p+Fog0QmQgghhBCiOyQSBkcTZdd7PB7wUoMHRO3Rk+tjv0YP\nGd/em4i4zMZdkAghhBBCSPtVL5bgryTZs0ABn9eoSAhRDRMDvUbdRNdeyOAmGKLzGIbBT2fYlX8X\ntLLaujwvRzPsntsTtqbs5PV52+Jw9ka+UmJtq+9P3mSNp/fygJOFEUfRKB+Px8OXr/RgJQI2LE1V\nLRJjd3QWRv1+GQ/LqtUbIFGb3dHsQmoTQztAT6C86uMWxvrYNisMw30dWfOxmSUYs+YKHjyqUtpr\nNeVuYQWmb45BVZ0sGczB3ADbZoaxOj9oEgGfh5/GBzR6Xv3VsRv4My6bo6iItjmVmodZW2KQU/r0\nv+EXbhViwh/XUKzmBNbqOjHWX7yL/isiEfHtOQz88QL8l53CgBWROHODnYf4zShf9Oyk+YmqyqQn\n4GPjtBB0dWi6y4uAz8PyMX7o5Wnb5BqifSQSBksOJKOiVpYXFeBmibkNumu1Fo/Hw9uDu2LJMG/W\nfHreY0xcdw355dxtXGnO2gt3sTv6AWvu7cFdMCZYezbF8/k89Otq1+j6ujl1YglK1LSpr01Xehcu\nXICvry+ioqJw8OBBVFQ8abWXlJSEzz77TKkBylu5ciXmzJmDGTNmwMfHB2vXroWxsTE2bdr01PU7\nd+7EggULEBAQAG9vb2zYsAESiQRnz55VWYyEEKJLDiVko7ZeIh2P8HeCuaF+M0eo31uDOmNUg2T6\nr46l4Vy6cm4m3i+qxOytsZiyMRq3CypY3+PzgMnhHXB+cX/M6N0R+kq8gQI8aa269rVg+LtZSucY\nBnh3XyIu3dacNpWEEEIIIUR5YjNLkFsmu1EX0ckGDuaGHEakOQz0BFg3NRid7GQPtOvqJZi9NRb3\niyo5jIwQQgghhGiSS7eLUFQhe9Dat4st7MwMOIyofZkW4QEjucThv5NzkVWs+oRA0v78e6cIcXLV\n1h3MDTBRgWrr8ro6mGHP3J6svxV1Ygle3xGH02ncJK9fyShiVXg0N9TD/P6enMSiSiYGegh2t2xx\n3YNH1ViwM15lXZcJd2pEYlYStIDPw4RQN6W/jqG+AL9NCsKM3h6s+YzCSoxecwXXc8qU/pr/yS+v\nwZSN0XhUKbs+MTfUw7aZ4XC1MlbZ6yqDUI+PP6YEI7AD+zxdciAZp1LzOIqKaIuK2nos3p/UqJN9\nQ/eKKrH8eLp6ggLwqLIOY9dewdf/3ECm3HWqhAGyGmxkWdDfE+NClP83SRvYmxvi0ILe+PAFb7hZ\nyzbOCQV8vBLgjMMLemN8O/230WU7ozJx+U6xdGygx8eP4/2feUPZ/P6eWPqSD2vuTkEFJvxxtcmN\nLVz5OzkX351g/00aHeSCRYO0r/ORopt6AbA+z6tSm36jPvzwQ3z11Vc4ffo0hELZzr+BAwfi2rVr\nSgtOXl1dHeLi4jB48GDpHJ/Px+DBg3H16tVW/YyqqiqIRCJYW1s3uaa2thbl5eWsL0KIdqLz+dkw\nDINdDXa3K9JeUV14PB6Wj/FFiLuVdE7CAG/uSnimFqQVtfVYfjwdQ3+6iDNPqagR3tEaf7/ZB1+P\n8oWNqeoeepgY6GHz9FBWco5IzGDe9jgkPShV2etqGjqfCdENdC4TojvofFadI4nsLnEjA6gypDxL\nYyG2TA9jtXEvqRJh+mb2wz/SenQ+E6I76HwmRHfQ+fxsDsSzK4CODtKeimi6wMpEyHqWIGGAdZfa\nZ9V1OpdVh2EY/HS6YbX1zm1KzPhPZ/snyev2csnrIjGDBTvjcFLNyZkMw+C7E+xq66/394SlsWZW\nZX4WFbX1OHG9dZsDErJKWZsV1InOZ9U5lvwQZdUi6XiQtz0cLVRTxIHP5+GzEd3xyYvdWPOFj2sx\n4Y+rKikcVlYtwrRN0aykPAM9PjZOD4WXo5nSX08VjIVPnlfLV14WSxi8sTsBVzOKmzlSM9H5rD6H\nE3IadbNvyqHEHCRkliC3tBollXWoEYlVslmJYRjM3xGH1FbkkgR1sMTioV5Kj0GbmBjo4fV+nrj4\n/gBE/W8QLn0wAEmfDcWqiYHwdbXgOjw6n5Uss7gS3/zDTtj+YJg3PO2arryviJnPdcTXo3qw5u4X\nV2H82qsas9k5LvMR3t2XxJqL6GSD5aP9wOPxOIqq7YyEAvgpcK56OZip7TNHmxLXU1JSMGrUqEbz\n9vb2KCoqeuagnqaoqAhisRgODg6seQcHB+Tlte6D4pIlS+Ds7MxKfm/o22+/hYWFhfTLzY12BhGi\nreh8fjbxWSW4lS+rMN7NyRwBbi1XPOCCgZ4Af0wJRgdr2Y70yjoxZm2NQYGCbWUkEgZ/xmVjwIpI\nrL2QgTqxhPV9F0sj/D45CHvm9oSPs7lS4m+JtYkQ22aGwVGu0mZVnRgztsQgo7CimSN1B53PhOgG\nOpcJ0R10PquGSCzBPykPpWOhgI9h3Z04jEgzdbAxxsbpoTDUl93Wul9chTnbYlEjEjdzJHkaOp8J\n0R10PhOiO+h8brvyGhGrOrKZgR6G+Dg0cwRRhdl9OkJfIHuovy82GwWPNbMFvCrRuaw6l24X38Wn\nOAAAIABJREFUIT5LVtzH0dxQKRWaPe1MsWduTziYs5PXF+6Mx3G5z+uqdjI1j1W8yN7MADN6dVTb\n66vTmbR8VNS2LqkRAA7E57S8SAXofFadnVGZrPHknu4qf83ZfTrh10mBEMpVj62sE2PG5hgciMtu\n5kjF1IjEmLM1Ful5j6VzAj4Pq18NQqhH0wU3NZGlsRDbZ4XD1UpWdbmuXoI522KRkq26avWqQOez\n+jytQGBT6sUMRq25gl7LzyHwy9Pw/vQEOv3vH/gsPYHgL0+j9/JzGLzyAkb8+i/Gr72KqZuiMW97\nLN7ek4CPDibji6Np+OFkOn47dxsbLt3FzqhMHIzPxvGUhzh/swDX7hYj6UEp9sdmI+reo1bFVFFb\nDy3MU1UJHo8HB3NDuFkbw0ionmrMrUHns/KIJQwW709CtdwzlrCO1pjRy0OprzM53B0rxvmDL3du\n5ZRWY/wfVznPf7pfVInZW2NRVy/LE/O0M8Ha14Ih1Hu2ivNcei289ddWr/VUX0FbHtOG7Umurq7Y\nt28fevXqBTMzMyQlJaFTp044dOgQFi9ejIwM5e+az83NhYuLC65cuYKIiAjp/AcffIALFy4gKiqq\n2eOXL1+O77//HpGRkfDz82tyXW1tLWpra6Xj8vJyuLm5oaysDObm6klQJIQoB53Pz+bdfYk4KHfz\n58uR3TElwoO7gFrhTkEFRv1+GY/ldu36uVpg79yIVl08x2eVYNnRtKdWMjfU52NB/86Y27fTM1Xs\neBY38x5j3NorrF3JLpZGOLigFxzMVVN5QFPQ+UyIbqBzmRDdQeezapxPL8CMLTHS8RAfB6yfGsJh\nRJrtVGoe5u2Ig/ydrRd9nfDrpEDw+fREobXofCZEd9D5TIjuoPO57fbGZGHJgRTpeEKIG74b2/Rz\nQaI67+9Pwn655L/5/T2xZJg3hxGpH53LqsEwDEavuYIEucT1L0Z2x1QlPsO6X1SJSeuv4WGZbMOF\ngM/DLxMD8aKfajeY14slGLrqIu4WVkrnvh7VA5MVSDjRJr9H3sH3DarLN6e/lx22zAhTYURPR+ez\natx4WI4Xfr4kHbtZG+HC4gFqu69zNaMYc7fHsp4tA8D7z3thQX/PZ6qsWi+WYP7OeNaGOgD4fqwf\nxodob2Ll/aJKjF17BUUVss6H1iZC7H89QmkVeVWNzmf1GfX7Zdb7tTY6vLC3xhZ4JHQ+K9OGS3fx\n1bEb0rGxUIATi/qig41xM0e13dGkXLy9NxFiiewBj62pAXbNCUdXB/V3JCmprMPoNVdwr0h2DW5r\nKsShBb3hZq2afwN1EYklmLwhCtEtbNoJ7GCJPXN7wkBPPTlxbdoKMHHiRCxZsgR5eXng8XiQSCS4\nfPkyFi9ejKlTpyo7RgCAra0tBAIB8vPZF3X5+flwdHRs9tgVK1Zg+fLlOHXqVLNJ6wBgYGAAc3Nz\n1hchRDvR+dx2ZVUiHEuWVY4w0hdgZKALhxG1Tmd7U6x9LRh6cjczkrPLMH1zNN7dm4jnf7qIwSsv\nYPbWWJxOy5deAOWX1+DdvYkY/fuVpyatjwxwxrn3+uOtQV04S1oHAC9HM2xqUFkyp7QaUzdGo6xK\n1MyR2o/OZ0J0A53LhOgOOp9V40giu2rYyABnjiLRDkO7O2LpSz6suWMpD7H8RDrKqkT4J+Uh9sZk\n4WRqnkLV29obOp8J0R10PhOiO+h8bruDDSrxjg7S/Pvaumpev06sCpU7rmaivEa372M3ROeyaly8\nXcRKgnM0N1R6EqiHrQn2zO0JZwtZ0SCxhMFbexJwNClXqa/V0IH4bFbSekdbE61Ocm2JoYKJMQYc\nVbuk81k1dkVlscavhrmrtRhBhKcN/ny9F5ws2AXCfjh5E58cvo76Bp25W4thGHx86HqjpPUlw7y1\n/nz2sDXB1plhMDPQk849qqzD1I3RyC2t5jCy1qPzWX2sjIVch/DMMgq4rQBNmkfns3LcKXiM70+y\nNxL+b3g3lSWtA8AIf2esfjWI1amrqKIWE9ddQ2quejt51IjEmLs9lpW0bqjPx4ZpoVqftA4A+gI+\nNk4LQX8vuybX9O5sgy3Tw9SWtA60MXH9m2++gbe3N9zc3FBRUQEfHx/07dsXvXr1wieffKLsGAEA\nQqEQwcHBOHv2rHROIpHg7NmzrArsDX3//ff48ssvceLECYSEUJUyQghpjYMJ2aiVa30ywt8J5ob6\nHEbUer072+LLV3qw5qLuPcLBhBzczH+MOwUVOHMjH3O2xeLFXy5h+fEbGLAiEgcTGrcW7OFijj9f\nj8DPEwPhbGnU6PtcCPGwxu+TgyCQu2lzM/8xZm2NQXWduJkjCSGEEEKIJquuE+OU3MMsE6EAg7wd\nOIxIO8zo3REze7Pbpa+7eBfBX53Ggp3xWHIgBfO2x6HnN2fx+V+peNzOEmUIIYQQQtqTB4+qECVX\nQczF0gihHtYcRtS+dbY3w1Af2Weax7X12Hktq5kjCGkZwzD46fQt1tzCAZ4qKTrkbmOCvfMi4CL3\nfEgsYbBoT0KjjefKUiMS46fTt1lzi4d6QV/ATbK2Oij6d5r+ruuOytp6HJJ7Pqsv4GFciKva4/By\nNMPBBb3g7ciu7rozKguv74hr0/PXFaduYm/sA9bcrOc64vV+nZ4pVk3R3dkCG6eHsjaS5JRWY8rG\nKDyqrGvmSNLeDPFp/f1tAR8YE+SCVwKcMdTHAX262CLUwwo9XMzhaWcCF0sjWJsIYaTmQoN83X0L\nJgTAkw4h7+1LQp1cjlifLraYHN5B5a89rIcj1k0JgVDu/eRRZR0mrbuGxKcUHVUFiYTBB38mI+Z+\niXSOxwNWTQjUqW4LZob62Dw9FAfmR2BMkCt6uJijh4s5RgW6YO/cntgxKxwWxurNC9RreUljQqEQ\n69evx9KlS5GSkoKKigoEBgaiS5cuyo6P5d1338W0adMQEhKCsLAwrFq1CpWVlZgxYwYAYOrUqXBx\nccG3334LAPjuu++wdOlS7Nq1Cx4eHsjLywMAmJqawtRUO1rUEEKIujEM03h3u5a1H5wU1gF3Cyuw\n/tK9Ztel5z1Get7jRvO2pkK8/7wXxga7sRLENcVAbwd8N8YPi/cnSediM0vwxq54/DElGHo6fAOT\nEEIIIURXnbmRjyq5B2FDuzvCSMhdtx9t8vGL3ZBTWoWTqbLE/3q59pIAUFFbjy1X7iPm/iPsnttT\nazbmEkIIIYSQ1muYSDo6yEWtVVtJY/P7d2Zdp2/89x5m9PbgtLMp0W4XbhWyklicLAwxPlR11Yvd\nrI2xZ25PTFp/DdklTyoJSxjgnb2JkDAMRgUqN8l265X7yCuvkY59XSww3Lf57vPaztfVAv6uFkjK\nbrmypqE+H+OCtbtaNZH5KymX1SHv+e6OsDU14CQWJwsj7Hs9AvO2xeHq3WLp/JkbBZi0/ho2TguB\nTStj23z5Hlafz2DNvRLgjI+HdwOPpzvXJWEdrbHmtSDM3RYnvQ+XUViJ6ZujsWtOT5gatCkdjeiY\nkQHO+PafGyivabkb5vgQN3w72q9VP5dhGNTWS1BVJ0a1SIzqOjFqRLL/rhb9//j//7uqTjaOvFWA\nOwWVLb/I//Nxsmj1WkK00R8X77Kuw8wM9PDdGD+1vWcN8LbHpmmhmL0tBjWiJ8nz5TX1eG1DFDbP\nCFX5psWVp2/hrwYdlT4e3g3DeujeNTiPx0OwuzWC3TVjI6jCmW0ikQienp64ceMG3NzcMHz4cIwf\nP17lSesAMGHCBKxYsQJLly5FQEAAEhMTceLECTg4PNmhlZWVhYcPH0rXr1mzBnV1dRg7diycnJyk\nXytWrFB5rIQQoq3iMktwW67dkY+TOfxdte9iPKiDlcLH6At4mNu3E84t7o8JoR00Mmn9P2ODXfHR\nC96subPpBfjoYAoYhmniKEIIIYQQoqmOJLJvjL0c4MxRJNpHwOdh1YRAmBm2/EAsNbccnx6+roao\nCCGEEEKIOjEMg4Px7MT1UYEuHEVD/hPgZolenjbScVFFLf6My+YwIqLNGIbBT2fY1cgXDOis8nb2\nbtbG2DsvAh2sjaVzEgZ4d18SDijx97msWoTfI9nJrkuGeetUomtTlo7ozqq02ZQPnvdWeyVIojoN\nC6lN5riQmrmhPrbMDMXL/ux7cokPSjF27VVkFrec6HokMQfLjqax5vp2tcP3Y/11cjPdQG8HrBjn\nz5pLzi7D3G2xqK2nTuEEMNQTwFXu/bMpne1NsWSYd4vr/sPj8WCoL4C1iRAulkbobG+KHi4WCPWw\nRt+udni+uyNGBrhgYlgHzOjdEQsHdMZ7Q73wyUs+WDk+oNWvE+xuBa8G3RgI0SVpueVYdYbdzWjp\nCB84y3UcUofnuthi28xwmMgVc6qorcfUjdG4cqdIZa+7L+YBfjt/hzU3NcIds57r2MQRRJkUTlzX\n19dHTU1NywtV5I033kBmZiZqa2sRFRWF8PBw6fciIyOxZcsW6fj+/ftgGKbR1+eff67+wAkhREs0\nvEkwKbyDVt4U2xWtWMvRAV52OPl2X/xveDetqb44r58n5vZlt5TbH5eN707c5CgiQgghhBDSFmVV\nIly4VSAdW5sI8VxnWw4j0j6ZjyrxuBWVewDg7+SHeFhWreKICCGEEEKIOiU+KMXdIllCWYCbJTrZ\nUfdlTTC/vydrvO7iXdSLJU2sJqRpkbcKkdSw2nqIciueN8XF0gh75vaEu40s+Y5hgMV/JmFf7AOl\nvMbaCxkoqxZJx891tsVzXdrHvYFgdytsnBYCC6OnP58T8Hn46AVvzOjtod7AiMokZ5ciJUdW3bWT\nnQl6duK++qeBngCrJgRgXj/289d7RZUYs+aK9G8QwzC4W1iBhKwS3C+qBMMwuHirkNUtGwD83Syx\nZnJQqzZmaKtXAl3w+Qgf1tyVjGLM2RqHr/9Jw7BVF9F7+TmM+PVf/B55B0UVtRxFSriw7ep9pOWW\nN/l9Hg8Y6uOAffMiYGksVEtMfq6WeKEVlZQFfB7eG9JVDRERwo26egne258EkVhWGHOQtz3GBqvn\n+rqhsI7W2D47nFWgqFokxowtMYi8WdDMkW1z6XYh/ncohTU3yNseS1/y0cocOW3Upt4sCxcuxHff\nfYcNGzZAT4/auxBCiK4orarD3ymyzhVG+gK8oqWVHmPvlyi0/uMXfbTyQcaHw7xRVFHLqia09kIG\nbE2FmN2nUzNHEkIIIYQQTXH8+kPWzcHhvo7QF+juAy1V+KtBxfrmiCUM/k56iDl96XqZEEIIIURX\nHEpgV1sfE0TV1jXFc51t0cPFHNdzniQtZT2qwj/X8xpVtCWkOQzDYNVpdjVIdVRbl+dsaYS9cyMw\naf013Pv/jTIMAyw5kAyGYTAhtEObf3Z+eQ02X77HmlOk8qwu6NPFDv8uGYBDCTn4O+khiiprYSLU\nQ9+utng13B0uaq78SVRr57XG1dY1JUmMz+fhoxe6wcncEMv+TsN/ja6LKuowcd01jAl2wdWMYmQU\nyjbMuVkbIb+slnV/r5OdCTZPD4WJge7nVE3v3RElVSL8fFbWFePi7UJcvF0oHeeUViMlpwy/nbuD\nleP9MayHExehEjW6U1CBb4+ns+YmhbnB3EgfNXVi2Jsb4iU/J7jbmKg9th/H+6OqTowLtwqf+n19\nAQ8rxvmjFxWXITrst3O3ceOhbGOJpbE+vh3ty+n7cVAHK+ye0xNTNkahpOrJhs7aegnmbIvF6leD\nMLR7y5tOWuNm3mMs2BGPeonsfbu7szl+mRQIPXo2pzZtukKKiYnB2bNncerUKfj6+sLEhP0mcvDg\nQaUERwghRL0Oxuegrl5W6eRlf2eYaUn1cXkMwyjcfkxb25Xx+Tx8N8YPpVUinEuX7TL86tgNWJsI\nMTqIm92QhBBCCCGk9Y40SLoeGUBJNorKK1esO2C+gusJIYQQQojmqquX4K8k2TW1voCHl/woKVpT\n8Hg8zO/XGQt3xUvn1kRmYISfk8YkKRLNF3mzEEnZsurMzmqsti7P0cIQe+b2xKT113C3UD55PQVi\nCfBqeNuS138+exs1ItnzuRf9nODraqGUmLWJmaE+pkZ4YGqEB9ehEBUqqxax3reFenyN3HA2vXdH\nOJgbYtHeROnz82qRGDuuNe76/eARu7Ofo7khts8Kh7WJeipIa4K3B3dBaVUdtl7NbHZdVZ0YC3cl\nYPN0PfTtaqem6Ii6icQSvLcvEbVyuSfhHa3x9Su+4PO5v/4zFuph0/RQnEzNw/armYi6VwwJ8yRx\n95UAF0zr5YGOtupPqCdEXZIelGJ1ZAZr7ouRPWBvbshRRDI9XCywZ24EJm+4hqKKOgCASMxgwc54\nrJoY8Myf9fPLazBjczQe18o6+DpbGGJTO9lspkna9K9taWmJMWPGKDsWQgghHGIYBruj2R+023qD\njWs8Hg9OFkbIKa1ueTGetKBy1IALsLbSF/Cx+tUgTN5wDfFZsjaZH/yZDCsTIQZ42XMYHSGEEEII\naU5+eQ2u3SuWjl0sjRDcwYrDiLSTkb5iVfaMhOqrykcIIYQQQlQr8mYBSv+/GhsADPCyh1U7ShTT\nBsN6OKKjrYm0SvWNh+WIvFVI965JqzAMg5/OcFttXZ6DuSH2zHmSvC5fcfl/h1IgZhhM6emu0M+7\nW1iBvTEPpGMBn4fFQ72UFi8hmuZwQg6qRbKCYi/5OcHSWDPft1/wdYKdmQFmbY1FWbWo5QMACAV8\nbJsV1u66BPB4PLw7pCt2RGVBLFfB9mnEEgZf/J2G0+/0pU1sOmr1+TusDWemBnr4cby/RiSt/0fA\n52G4rxOG+zpBImFQJ5bAUMF7zIRooxqRGO/tT2L9rR7u64gRfprTCcPL0UyavJ5fXgsAqJcweGt3\nAurqJW0u4FlZW49ZW2OQWyYrbGRqoIdNM0LhoMU5Y9qqTbXtN2/e3OwXIYQQ7RObWYLbBRXSsY+T\nOfy0uJrDqMDW78zv39UONqYGKoxG9YyEAmyaHoou9qbSuXoJgwU74hGfVcJhZIQQQgghpDlHk3Kl\nLYcB4CV/J426ga8tenayUel6QgghhBCiuQ7G57DG1IVS8wj4PMzr24k1t6ZBhT9CmnL+ZgGSG1Vb\nd+MwIsDe3BB75kawnskAwKeHr2Pb1fsK/awfT91iJQ5NCHWjKq9EZzEMg11R7EJqk8MV2+yhbiEe\n1lg/JbjV6yVgYKvlz53b6q/khy0mrf/nTkEFou49UnFEhAvJ2aX49dwd1txnI3zgamXMUUQt4/N5\nlLRO2o2Vp2/hjlxumK2pEF+O7KFxG4k625ti37wI1kYwCQO8tz+pUVHW1hBLGCzak4DrOeXSOQGf\nh98nB8Hb0VwpMRPFtClxfeDAgSgtLW00X15ejoEDBz5zUIQQomkYhsG1u8V4c3cCei8/h9Cvz+CV\n1Zex/VomKuTah2izhjcJXg3voHEXJop4rac7jFtZRXF2n04tL9IClsZCbJsVBmcL2U7AapEYM7fE\n4Hb+Yw4jI4QQQgghTZFvjQwAI/01rzWyNni+u2OrHwp2sDZCL09KXCeEEEII0QWlVXU4m54vHVsY\n6WOAtx2HEZGmjApygb2Z7Jo9+t4jxGVSwhppHsMwWHXmNmtu4cDOEOq1Kc1BqezMDLB7bk94OZix\n5pceScXmy/da9TOSs0txLOWhdGyoz8eiQV2UGichmiQuswQ35Z5ZejuaIaiDJYcRtU7Cg8b5UU2p\nFzM4kpjT8kIdFHdfsff1WAXXE81XIxLjnb2JrA0MQ30cMDaYNpYSogli7z/C+kt3WXNfj/LV2EKf\n7jYm2DuvJ9xtZBtfGAb46GAKtl653+qfwzAMvjiaijM3CljzX7/SA3270v0DrrTpE11kZCTq6uoa\nzdfU1ODSpUvPHBQhhGiSGpEYb+xKwMR113A0KRc5pdUofFyLxAel+PTwdQxcEYnrOWUt/yANVlpV\nx7oxZiwUYGSAM4cRPTtHC0OsfjWoxZuXH73gjd6dbdUUleo5WRhh26xwWBnrS+dKq0SYuikauaXV\nHEZGCCGEEEIauldUyaoa18XeFN2czJo5gjRFqMfHlyO7t3KtACJx66o/EUIIIYQQzfZ38kPWtd0I\nfycY6FG1RE1koCfA7D4dWXNrIu82sZqQJ86ls6utu1gaYVwwt9XW5dmaGmDXnHB4O7I/yy87moYN\nl1r+/f7+xE3WeGbvjnAwN2xiNSHab2fDaus93bWikNr94iqF1mcquF5X1NZLFFpfp+B6ovmWH09H\nRmGldGxrKsS3o3214jwnRNdV1dVj8f4kVgfgUYEueL67I3dBtYKrlTH2zo2Apx27I9Fnf6Xijwut\n6+K16fJ9bL2ayZpb0N8TE8M6KC1OojiFEteTk5ORnJwMAEhLS5OOk5OTkZCQgI0bN8LFhSqDEUJ0\nB8MweG9/Eiupu6GCx7V4bWMUMosrm1yj6Q7E57A+GL7s7wwzQ/1mjtAOA7ztsX9eBPo9ZYecr4sF\n/pgSjHn9PDmITLU625ti0/RQGMm1s3pYVoMpG6NQUtl44xkhhBBCCOHGX4nsausv+zvTTfxn8IKv\nE36eGNBi56U7BRX46liamqIihBBCCCGqdDA+mzUeFUjVHDXZq+HuMDfUk47P3MjHzTzqFkqe7qnV\n1gdoRrV1eTamBtg1pyd8nMxZ818du4F1F5tOpvn3dhH+vVMkHVsY6evkMytC/vOosnEhtVe0pJCa\nHl+x+3UCBdfrClcrI4XWuyi4nmi2y3eKsKVBBeRvR/tpbCVnQtqb746nszZiOZgb4PMRrSsGxDVH\nC0PsmRvRaLPot8fT8cvZ22CYpgsVnUzNa/Q86CU/Jywe6qWSWEnr6bW8RCYgIAA8Hg88Hg8DBw5s\n9H0jIyP8+uuvSguOEEK4FptZgmPJTSet/6e0SoSfz9zGygkBaohKuRiGwe5o9u72V8N1Z1eZv5sl\nts4Mw4NHVUjNLYdYwqCjrQl8nM1bPliLBXawwtopwZi1JQb1/9+KK6OwEjO2xGDXnHAYCxW6BCCE\nEEIIIUrGMAyOJLHbBr+sJQ/rNNnIABf072qP/XEPcC69AOU1IlgZC2FtIsQRuY0C265mIrCDJSU2\nEUIIIYRosftFlYjPKpWOPWyMEdTBksOISEtMDfQwrZcHfj13Rzr3x4UMrXy2QlTv7I0CpOSwq62P\nDdbMz3DWJkLsmhOOyRuikJpbLp3/5p90iCXA/P7shHSJhMF3J9JZcwv6e8LCSPuLShHSlANx2axC\naiMDtKeQmq+rhULr/RRcrytGBbpi/aV7rVprpC/AsB5OKo6IqEtZtQiL9yex5saHuGKIjwNHERFC\n5F25U9So4vh3Y/xgYawd78MAYGdmgN1zemLKpihcz5Fdb688fQs1IjEWDeqCMzcKkJpbBjHDoJOt\nCdysjLFoTwKrynyIuxVWjPMHv51uMtMkCmWt3bt3DwzDoFOnToiOjoadnayCrVAohL29PQQCar9H\nCNEdO65ltrzo//2d8hBLR/jA0liowoiUL+Z+Ce4UVEjH3Z3N4euiex+m3ayN4WZtzHUYatWvqx1+\nHO+PRXsSpXOJD0oxf0c8NkwLgb5As6qSEEIIIYS0J6m55bgr1zY1wM0S7jYmzRxBWsvCWB+z+3TC\n7D6dpHMMw0Ao4GN/nKwi50cHU+DtaI5uTrq9qZUQQgghRFcdTGBvBB0V6EodjLTA9F4eWH/pLmpE\nT5IXjyTl4t2hXeFq1b7u35PmMQyDVWdvsebeGKh51dblWRoLsWt2T7y2MYqVcP/diXSIxBJ0tjfF\nX4m5yH9cg8raetzKlz2bc7IwxLReHhxETYh6MAyDXQ0LqYW5cxSN4l7yc8KXf6fhcU19i2utTYR4\nvrujGqLSPD7O5ujTxRaXbhe1uHZSWAfarKNDPv8rFQ/LaqRjVysjfPqSD4cREUL+87hGhPf/TGbN\nTQx1Q38ve44iajsrEyF2zu6J6ZujkSC3if33yAxsunxP+hmzKR42xlg3NQSG+pTfrAkU+mTn7u4O\nDw8PSCQShISEwN3dXfrl5ORESeuEEJ0j/0bXkrp6CWtXl7Z4WrV1urmvO0YGuGBpgw+FF24V4v39\nSZBImm6XQwghhBBCVOuvpFzW+GV/qrauSjweD1++0gPd5Tov1YgkeH1HHMqqRRxGRgghhBBC2oJh\nGBxKyGbNjQp04SgaoggbUwNMCHGTjsUSBhtaWZ2VtB9nbhSwnrm5WhlhTJBmVluXZ2Gsjx2zw+Hf\noNryytO3sGBnPE6k5iEhq5SVtA4AiwZ1oQQaotOuZhTjXpGsgIO/q4XCVcy5ZCzUw3tDurZq7eKh\nXu36fP55YiC8HMyaXdO3qx2WvOClpoiIqv2T8hCH5DaU8njAj+P8taajAiG67utjN5BTWi0du1ga\n4eMXu3EY0bOxMNLH9lnhCOtozZpvKWndylgfm2eEwdpEu4rR6rI2bUneunUrjh07Jh1/8MEHsLS0\nRK9evZCZ2frqxIQQoulE4ubf2J51PddKKutwLOWhdGwsFGBkAN3c1zUzn+uIBQ3aUB5OzMXX/9wA\nw1DyOiGEEEKIukkkDI7KJa7zeU8qNxHVMtQXYM3kYFY1p8ziKry3L5E2dRJCCCGEaJnYzBI8eCR7\n+B7mYY0ONlSxW1vM7tMJArnW7HtislBcUcthRESTMAyDVWcaVFsfoNnV1uVZGOlj++xwBLhZtvqY\nctpQTXTczqjGhdS0zbReHni3meR1Hg9YMsxbK//flMnaRIj98yMwp0/HRhXVnSwM8cEwL2ycFgID\nvfab3K9LCspr8PGhFNbcnD6dEN7JhqOICCHyzt8swJ6YB6y5H8b5af3GElMDPWydEabQ9fbUCHd0\ntKWux5qkTZ/uvvnmGxgZGQEArl69it9++w3ff/89bG1t8c477yg1QEII4ZKrlZFC692sFVvPtQPx\n2airlyXbjwxwhqmBHocREVV5/3kvVhUbANj47z2svXCXo4gIIYQQQtqvmPuPWK1Te3mfsgp8AAAg\nAElEQVTawt7ckMOI2o8ONsZYNTEA8k2mztwowJoLGdwFRQghhBBCFHYwvkG19SAqyKJN3KyNMVKu\n61SNSIItV+5zFxDRKKfT8pGa26DaerDmV1uXZ26oj+2zwholbTblh1M3UfC4puWFhGihgsc1OJma\nJx2bGehhhBZ2HuTxeHhrUBcce+s5TApzg62pEEIBH3ZmBng1vAOOL+qD+Q0KibVX5ob6+PhFH1z7\naBB2zQnHuinBODA/Apc+GIAF/TtDX6AdG5FI8xiGwZIDySipkm2+8nIwa3aDByFEfcqqRPjwQDJr\nbnovD/TytOUoIuUyEgrgadf6RPSLt4tUGA1pizZlJz548ACdO3cGABw+fBhjx47F3Llz0bt3b/Tv\n31+Z8RFCCKfGBLki5n5Jq9Z2dzZHZ/vm215pEoZhsDu6we72MHeOoiGqxuPx8PWoHiipqsOptHzp\n/Hcn0mFjIsT4ULdmjiaEEEIIIcp0RK7aOgC8HKB9D+u02QAve7w1sAt+PntbOrfi1E34uVqgTxc7\nDiMjhBBCCCGtUSMS4+9kWSdRoR4fw32pg5G2mdfPEwcTcqTjrVfuY14/Tyqu0849qbZ+mzX35kDt\nTHIsr6lvdSV1kZjBvpgHeGNgFxVHRYj67Y/NRr1cp7vRQS4wFmrv3/ruzhb4drQfvh3NdSSaz0go\n0JkESdLY7ugHOH+zUDrWF/CwcoI/DPWpmj4hmuDzo6nIL5d1tfKwMcYHw7w4jEj5TsvlPrUkIasU\n+eU1cKAiUhqjTZ/wTE1NUVxcDAA4deoUhgwZAgAwNDREdXV1c4cSQohWGRngAmeL1r1pVdTWo6K2\nXsURKU/0vUfIKKyUjnu4mMPX1YLDiIiq6Qn4+GVSIMI8rFnzHx5MVuiCjhBCCCGEtF1dvQT/pMgl\n2Qj4eL67I4cRtU+LBnVBfy9ZkjrDAG/tTkBOKd3XIoQQQgjRdGdvFOBxjexe/JBuDq2uakw0h5ej\nGQZ3s5eOy2vqsTsqq5kjSHtwKi0faQ9l1dbdrI0wOki7qq3/J+puMZiWl0ldyShWWSyEcEUseUoh\ntXAqpEaItsssrsRXx9JYc28P7oruzpRvQogmOHE9D4fkNgnzeMCKcf5avXGsIbGEQXmNYjl6JVV1\nKoqGtEWbEteHDBmC2bNnY/bs2bh16xaGDx8OAEhNTYWHh4cy4yOEEE4ZCQXYOD0UNibCFtdmFldh\n7rZY1IjEaojs2VG19fbJUF+A9dNC4O0o6w4gYYA3dsXjWHIuVp6+hbnbYjFnWyy+P5GO+0WVzfw0\nQgghhBCiqEu3C1Eq1z51gLcdJdlwgM/nYdWEALhaGUnnSqpEmL8jTms+0xFCCCGEtFcH47NZ49FB\nLhxFQp7V/P6erPGGf++itp6ux9srhmHwc8Nq6wO6aGW1dQCoVvCzZVUd/e4T3XPxdiGyS2RFAkI9\nrODlqD0dzAkhjYklDN7bl8R63wp2t8Lr/TybOYoQoi7FFbX4+FAKa25un04IaVDgUtsJ+DyYCBXr\n8GBuSM/iNEmbPuWtXr0aERERKCwsxIEDB2BjYwMAiIuLw6RJk5QaICGEcK2bkzmOvNEb40NcYajP\n/rMpn+QAPKmG8NbuBNSLJeoMUWEllXX453qedGwiFODlAGcOIyLqZGGkj20zw1i/v7X1EizclYBf\nzt7GqbR8nE7Lx++RGei/IhLv7kuk5B1CCCGEECX5KymXNR4ZQEk2XLE0FmLta8EQ6sk+5yVnl2HZ\n0bRmjiKEEEIIIVwqqqjFhVuF0rGNiRB9u9o1cwTRZMHu1qwOofnltTgUn9PMEUSXnUxlV1vvYG2M\nUVq8McXerHUdnf/jYG6gokgI4c7Oaw2rrXfgKBJCiLL8cTEDsZkl0rGxUICV4/0h4PM4jIoQAjzZ\nCPrJ4esorpRVFu9ib4p3hnTlMCrVGeBt3/Ki/+ftaAYnC8Wuz4lqtSlx3dLSEr/99huOHDmCYcOG\nSeeXLVuGjz/+WDpesGABioqKnj1KQgjhmKuVMb4f64/ojwdjz9ye2DYzDOfe64d/lwzEO4PZb/Cn\n0vLx4cEUSCSKNABUrwPx2airlyXXvxzgAlMD3WkJQ1pmb26I7bPCW9VN4GB8Dl7fEafxGzIIIYQQ\nQjRdVV09TqXmS8emBnoYqMCNNaJ8PVws8NUrPVhzu6OzsC/2AUcREUIIIYSQ5hxNykW93L33Ef7O\nWluNmTwxfwC7OucfF+9CrMHPV4hqSCQMfj7Lrrb+xsDOWn1+9+liC0vj1ld1pI3tRNfkllbjXLrs\nPpilsT5e6OHEYUSEkGeVlluOn07fYs19/GI3uNuYcBQRIUTeX0m5OC5XxFTA5+HH8f4w1FesMrm2\nmNbLo9Vrp0Z4gMejDTaaRKWf9Hbs2IHy8vKWFxJCiJYwN9RHz0426NvVDp3sTAEAbw3qjBm9PVjr\n/ozLxlfHboBhNO/mKsMw2BXN3t0+mXa3t0sdbU0wr1+nVq2NvFmIw4m5LS8khBBCCCFNOp2Wz2oV\nPrS7g87eMNQm40PcMCmM/Znok8PXcT2njKOICCGEEEJIUw4lsKtxjwly5SgSoiz9u9rB29FMOr5X\nVImTqXnNHEF00am0PNyQq7bubmOM0YHanchtqC/A1J7urVrrZm2EIT4OKo6IEPXaG/MA8vuQxgW7\n0n0wQrRYbb0Y7+5LhEgsO7EHeNnh1TDKNSFEExSU12DpkVTW3ML+nvBzteQoItUL9bDGrOc6trhu\ngJcdxofQvQNNo9LEdU1M2CSEEGXj8Xj49EUfjG7QrnDT5Xv47dwdjqJqWtS9R7hbWCkd+7pYoIeL\nBYcRES5dvNX6zijbrt5XWRyEEEIIIe3B0ST2RkCqpqY5PhvhAz9X2eeiunoJXt8Rh9KqumaOIoQQ\nQggh6nQ7/zGSs2WbCzvbm6KHizmHERFl4PF4mN+fXXV9TWQGPWduRyQSBqvONKi2PqAz9LS42vp/\n3hjYBf297JpdY2Gkjz9eC9Hq6vKENFQvlmBPDLuQWsOiAYQQ7bLy1C2k5z2Wji2N9fHdGD+qYEyI\nBmAYBh8eTEFZtUg65+NkjjcGduEwKvX45MVueHdIVxjqN76WFvB5mBjqhrVTgnXis4Wu0eM6AEII\n0QV8Pg/fj/FDeXU9ztyQtTz78fQtWBrrY0qEB3fBNbC7QbX1V6naerslEktwJaP1ievJ2WUoqayD\nlYlQhVERQgghhOimkso6RN4slI5tTITo7WnDYUREnqG+AL9PDsKIX/9FSdWTm7vZJdV4e28iNk0L\nBZ9PD2AIIYQQQrh2sEG19dFBLpQooyNe9HXCj6duIetRFQAgJacMl+8U47kuthxHRtThZGoeKxHO\n3cYYo7S82vp/hHp8rJsSgt/O3ca2a5korZIlE/F5wEBve/xveDdpl2dCdMXZ9ALkl9dKx70729Dv\nOSFaLPreI6y7dJc19/UrvrA3N+QoIkKUj2EYXLxdhB3XMpGQ9X/s3Xd81dX9x/H3HdkTshcEEvZI\n2MvBUHEgUBVRQHG21Qqu1qqtrba1/mrVVkWlValYAS0ORERURFxM2Ql7k4SEhEAmWffe3x/gTS4r\nNyE39+bm9Xw8ePD4npx77zstx+Te7+d8znFVW6xKbBOg6/sm6ob+iQr193F3xHOavy5Ly7YfsV/7\nmAx6/sY0+Zq9v1jbYDBo+qhOmjokWR9tyFJGTrGsNps6Rgbp+n6JigsLcHdEnAOF6wDQRMwmo2ZM\n6qPb/rNGq/YW2sf/sDBToQE+HtFNsbCsSp9tqT1iM8jXpGvT4t2YCO5UXmVxOKLPGaWVNRSuAwAA\nNMJnGbmqqfPL1zW94+jw4GES2wTqpZv76NZZa/RTc8flO/L10rJdeuCyzu4NBwAA0MpZrTYtqFO4\nbjBI4z3gM3c0DbPJqJ9f0lG/X5BhH3t1+W4K11sBq9WmF79y7LY+bWQnr3q/7Gs26qEruujeEan6\nbleB8oorFOhr0sAObZXYJtDd8QCXmLP6tEZqA9u7KQmAC1VaWaOH529U3cNwxqfH65rece4LBTSx\n8qoa3Td3g0PxtyQVnahWZs5Wvbp8j96c2l9pSeFuSnhu2cdP6M+fbHUYe+CyzuoW17pOJwsL9NFt\nwzq4OwYawHve8QGAB/D3Men1W/urV0LtEfM2m/Tw/zZp2fa88zyyeXy4PktVFqv9elyfBAX7sYep\ntQr2M8uvATssDQZRtA4AANBICzc5doccl84GUk90cacoPXy5Y5H6i1/t0tenfWANAACA5rVq71Ed\nLqqwXw/pGKH4cDqneZMb+iUqMtjPfr1iz1FtPHTcjYnQHJac1m09OSJQ4730/bK/j0mXd4/RlMHt\ndV3fRIrW4bUOHi3XtztrTx2MDPbT5d1j3JgIwIX48ydbdajwhP06LsxfT43r6cZEQNOy2WyaPu/M\novW6Ckordcubq7W/oKwZk9XPZrPpt+9vVklljX0sLSlcv7ikoxtTAc6hcB0AmliIv4/eun2AUqKC\n7GM1VpvueWe91uwrPM8jXctms2numtN3t7dzUxp4ApPRoCt7xjo9f0SXaDY6AAAANMLhohNaXee9\nQEJ4gPq2a+PGRDife4en6rJu0fZrm0164L2NOlRY7sZUAAAArduHGxw3gl7XN9FNSeAq/j4m3XFR\nssPYzOV73BMGzcJqtenFpd7dbR1ojeatdbwfPXFAonwb0EgLgOdYujVP7/14yGHs7zekKSzAx02J\ngKa3Ys9RLd1Wf+Oa4ooavbRsV73zmtM7qw/q+90F9ms/s1HPT0jj92m0CC79VzplyhSFhrauYwcA\nQJIigv303zsHKaFOx5fKGqvufGutMrKL3JJp9b5C7c2v3f3XOzFMPet0hkfrdHsDjsq5fViy64IA\nAAB4sUWbDjscpTo2PV4Gg8F9gXBeRqNBz9+YrvYRtd3vik5U65fvrFNFtcWNyQAAAFqn8qoafbbl\nsP3a38fYoIYcaDmmDG6vkDrNUz7fmqvdR0rdmAiu9FlGrnbk1XZb7xAZxOlkQAtXVWPV/9bWFrka\nDNJNA2ikBrRER0sr9eiHmx3GbhuarIs6RbopEeAac1YfcHruos2HVVRe7cI0zjtwtEx//XSbw9hv\nRndRanSwmxIBDdPowvWKigqtWbNGixYt0sKFCx3+/OS1115TZCQ/sAC0TvHhAfrvnQMVEeRrHyup\nrNHUWWu0N7/5P2idu5pu6zhTelK4fntl13rn3TM8RRd3imqGRAAAAN5n4aYch2tuxHu+sAAfzZzS\nT/4+tR+dZeYU6/cLMmSruwsBAAAALvdFZp7Kqmo3EF7ZI5aTIb1UqL+PJg9ub7+22aR/fUPXdW9k\ntdr04lc7HcamjUylOyTQwn2emaujZVX26+Gdo5TUNvA8jwDgiWw2mx7/aIsKSmvXc8eoIKfqCoCW\nZuPB407Praqx6o8LM7Qk47AOFZa77V6B1WrTb+Zv1ok6jXYGJLdpUONKwN0a9anOkiVLdOutt6qg\noOCMrxkMBlksdJ8CAEnqGBWs2XcM1M3/XqWSyhpJ0tGyKt3y5hq9f88QxYUF1PMMTaOwrEpLMnLt\n18F+Zl2bRrEMTrpneIqiQ/z0wpc7lX38hMPXokP8NG1kqqbUuVkAAAAA5+3JL9WWOqcudY4JVtdY\nTqdrCbrFheqZ63rpwfc22cfeX5elvu3aaNIgNgIDAAA0lw83ZDtcX9c30U1J0BzuuChZs37Yp6oa\nqyRpwcZsPXh5Z8WHN8/9FDSPxRmHtTOvtslTx8ggjeW+FdDind61dtIg7i8CLdEH67P1eWae/dpk\nNOgfN6YrwNfkxlSAa1RbG1Z8vmBjjhZsPNmsKCzARz0TQtUzPkw9E07+ad82UEaja0/cnfXDPq3Z\nX2i/DvAx6bkJaTK5+HWBptSowvVp06ZpwoQJ+sMf/qCYmJimzgQAXqVnQpjemNpft85ao8pTH7Rm\nHz+hKW+s1vxfDlXbOh3ZXeWDdVmqsljt1+PS4xVERxrUcX2/RI3vk6Bvd+ZrW26xJCk1KlgjukbL\nhw4nAAAAjbZw4+nd1hPclASN8bM+idpw8LjeXll74/XJhZnqER+qtKRwNyYDAABoHY4UV+j7Xfn2\n6+gQPw1L5bRnbxYd4q8J/RI159QpstUWm978fp+eGNPdzcnQVKxWm15custhbNoouq0DLd3uI6Va\ntbe2iC4uzF8junCaM9DSZB0r11MLMx3G7huRymeh8Frt2gYqv6SyUY8tOlGtH3Yf1Q+7j9rHgv3M\n6h7/UzF7qHolhKljVHCji8oLy6r0wbosbTx0XNUWq8ICzPbC+Z88fnVXtY8IatTzA+7SqKrFvLw8\nPfTQQxStA4CTBnWM0GtT+urnb69Tzandenvyy3Tbf9Zozl2DFOLv47LXttlsmrfmoMPYzQPpDogz\nmYwGjegarRFdo90dBQAAwCvYbDZ9ssnxA0Q6yLU8v7+mu7ZkF2nDqSNDqyxW3fPOOi2afnGzbEQG\nAABozT7emKO6DfDG90mgi1wr8PNLOmremoP2/+/nrTmo+0akqg2/f3uFT7cc1q4jp3dbZ5M30NKd\nfj/6pgHt2JACtDBWq02/mb9ZJZU19rHeiWG6b2SqG1MBrnVDv0StO3CsyZ6vtLJGa/YVas0+x47o\n3eJCTnZlP9WdvVNM8HmbSNpsNs1Ytlsvf73bfhrV2QxLjdBkTjhBC9SowvUbbrhBy5cvV0pKSlPn\nAQCvNbJrjJ6/MU0PvLdRtlMftm7OKtLdb/+ot24fKH8f1xyrtGpvofYWlNmv0xJP/hIEAAAAwLUy\nsosdfhfv0y5cSW0D3ZgIjeFrNurVyX015qXvdbSsSpKUU1Sh6fM2aPYdAymcAgAAcKEP1mc5XP+s\nD8WtrUH7iCBd0zvevhG4vMqit1ce0P2XdXJzMlwoi9Wml75y7LY+fVQn3leh1TlWVqX312VpccZh\nHS2tUoi/WZd2jtKkQe2U2KblfXZUUW3R++tqf2abjAZNHJDkxkQAGmPWD/u0cm9t52g/s1Ev3JjO\nCe3wauPTEzRj2W5lHz9R79znJvRWWICvMrKLTv7JKVJecf3d2k9UW7T+4HGtP9UcR5J8TUZ1jQtR\nj1Od2XvGh6lLbIi9duxvS3Zo5jd7zvu8RoP01NgeMvK7NFqgRhWuz5gxQxMmTNB3332nXr16ycfH\nsVPw9OnTmyQcAHibcekJKjpRrT98XHu00qq9hbpv7gbNnNLXJbvO59JtHQAAAHCLjzdmO1yPo9t6\nixUXFqCXJ/XRlDdW27s+fr+7QP/4cqd+PbqLe8MBAAB4qa05xdqeW2K/7hYXqm5xoW5MhOZ0z6Up\nDidYvbVin+6+pIMCfRt1exse4oxu61FBupb3ymhlvtyapwff26jSOh2NJSkzp1j/+navHruqq+66\nuKOb0jXOp5sPq+hEtf36sm7Rig3zd2MiAA21K69Ez36+w2Hssau6KjU62E2JgOYR4GvSrNsGaPIb\nq1RQWnXOeY9f3VU39Du5Kevy7jH28SMlFcrMKVZmdpG2ZBcpI7vYqSL4KotVm7OKtDmryD5mNhrU\nKSZECeH+WrrtSL3PYbVJi7fkavqokHrnAp6mUe/s582bpy+++EL+/v5avny5DIbaXRsGg4HCdQA4\nj1uHJOt4ebVe+HKnfWzptjw98sFmPXdDWpPuhDtaWqnPM3Lt18F+Zj4ABAAAAJqBxWrTJ5triyyM\nBuma3vwu3pINTYnUI1d21f99tt0+NuPr3UpLCnf4oBoAAABN46MNjt3Wr6PbeqvSPT5Uw7tEafmO\nfEnSsfJqvbvmkO64qIObk6GxztZt/X66raOVWbG7QPe8s041P+2KP43FatNfPt0mPx+TbhncvpnT\nNd6c1QccricNajnZAUhVNVY9+L+Nqqqx2seGpUbo1iHJ7gsFNKMusSH6ZNpFmrFstxZsyFZZlcX+\ntaEpEfr5JR01vEv0WR8bHeKv6C7+GlHn68fKqpSZU6yMnJPF7JnZRdp/tLzeHDVWm7YdLta2w8VO\nZ5+z+oDuGZ7CyQhocRpVuP673/1OTz31lB599FEZjfyjB4CGmjYyVcfLqzXrh332sQ/XZysswEd/\nGNPdYUPQhfhgfZaqLLVvLsb3iVeQH91IAAAAAFdbs6/Q4YjIYamRigrxc2MiNIVfXNJRGw4e0+eZ\nefaxh97bqIXTLlKHyCA3JgMAAPAuNRarFmx03Ag6Lp2NoK3NPZem2AvXJemN7/ZqyuD28jVzf7ol\nWrQ5R7vrdFtPiQrSGDZ4oxWx2Wx68pPMcxat1/V/i7dpfHq8Qvx9miHZhdl2uFjrDx63Xye1DdDF\nqZFuTASgoV5etksZ2bWFsiH+Zv29iZsuAp4uLixAT/+slx6/upt25JWousaqhDYBSmwT2ODnahPk\nq4s6ReqiTrU/D4srqrU1p1gZ2UUn/+QUa09+qWz1/1pwXnnFldqZV6Ie8WEX9kRAM2tU9WJVVZUm\nTpxI0ToANJLBYNDvr+mmohPV+mB9bdeY//ywX20CfTV9VKcLfg2bzaZ5aw45jN08sN0FPy8AAACA\n+i3clO1wPZaTj7yCwWDQcxPStCvvB+0tKJMklVTW6J531unDe4cq0JeNwgAAAE3hhz1HlV9SuxH0\n4k5Rig71d2MiuMPADm3Vt124vSAyp6hCCzfl6IZ+iW5O5l5Zx8qVdeyE/MxGdYkNaRHvQ87WbX06\n3dbRyqzdf0w780rrnyiprMqiBRtzWkTX9bmrDzpcTxrYnmJXtCo2m00r9x7VtzsLVFpZrchgP13T\nK06dYkLcHc0p6w8e0ytf73YY+/O4nooPD3BTIsC9gvzM6tuuTZM/b6i/jwZ3jNDgjhH2sbLKGm3P\nLVZGdrG2nCpo33WkVBYnNrnVVVpR09RxAZdr1LvYqVOn6r333tPjjz/e1HkAoNUwGg362/W9VFxR\nrS+31nbre+HLnQoL8NHUockX9Pwr9x7VvlOFFJKUlhTODjsAAACgGVTVWLV4S6792tds1OiesW5M\nhKYU4u+jmbf007gZP+hE9ckjQ7fnluh3H2XohRvTmuwELQAAgNbswzoNXyTpur4JbkoCdzIYDLp3\neKruevtH+9jMb/bouj4JrbIo8uvtRzTzmz1ava/QPhbsZ9b1fRN074hUxXjw5o5Fm3O0J7/2nlVq\ndDDd1tHqrN1fWP+kOn7cX+jxhetllTX6aENt8wYfk0ET+rfuzUVoXdYdOKbffrDZ4UQRSfrn0l26\nuFOk/n5DmmLDPPfnc3lVjR7+3ybVrZG9ulcsJx0BzSTIz6x+7duqX/u29rGKaouGP/e1cosqz/NI\nRxHBvq6IB7hUo1qmWywWPfvss7r00ks1bdo0PfTQQw5/AADOMZuMevnmPhpSZ0edJP1xYaYWbMg+\nx6Occ+bu9qQLej4AAAAAzvl2Z76KTlTbr0d1jVZoCzjaGc7rHBOiv93Q22Hsow3Z+u+qA25KBAAA\n4D1KK2v0eWbtRtAgX5Ou6M5G0NZqZNdodY4Jtl/vPlKqL7flnecR3umVr3fr9rfWOhStSyfXy+yV\nBzR2xvdnFM15CovVphfptg6ossbasPnVDZvvDgs35ai0srbL65U94xQZ7OfGREDzWbOvUJNeX3XO\nn7/f7SrQ9a+tUF5xRTMnc94zi7c7NEOMCvHT0+N70ZgDcCN/H5N+1sf5TWCdY4KVEhVc/0TAwzSq\ncH3Lli3q06ePjEajMjIytGHDBvufjRs3NnVGAPBq/j4mvT61v9ISHbuhPzx/k5ZubdyHr0dLKx0+\n2A/xM+vaNHbFAgAAAM3h4005Dtdj+V3cK41Ni9cdwzo4jP150VatO3DMTYkAAAC8w2dbDquiTrHe\nVb3iFOBrcmMiuJPRaNAvL01xGHt1+R7ZbLZzPML7fJ6Zq79/vuO8c/KKK3XHW2tVcepUKE/yyaYc\n7a3Tbb1TdLCu6RXnxkSAeySGBzRofnwD57vDnNWOG/gnDWznpiRA86q2WPXAuxvq3ZCSffyEnlyY\n2UypGuabnflnNOF49obeahNE52bA3SYPaidfk3NlvbcP68BmE7RIjSpc//rrr8/5Z9myZU2dEQC8\nXrCfWf+5faBSo2t3wVmsNv1q7nqt2nu0wc/3/rosVVtqP7Qd3ydBgb7mJskKAAAA4NzKKmscNqCG\n+Jk1omu0GxPBlR67uqsGJLexX1dbbLp3zjrllzh/jCcAAAAcfbje8TTS6/omuCkJPMW1afFKqFPA\nuenQca3aW3ieR3iXV5fvcWrewcJyfZZx2MVpGsZitekluq0DkqTRPWPl7+N8iU6Iv2ff292cdVwZ\n2cX2645RQRrcsa0bEwHN58utecopcq6T+ueZuco5fsLFiRrmeHmVHnl/k8PYpEHtNKILn2MDniCx\nTaCeua6X6qtHH5sWr4n9k5onFNDEGly4Xl1dLbPZrIyMDFfkAYBWq22Qr/5750CHD18ra6y6a/aP\nysgucvp5bDab5q056DB2M7vbAQAAgGaxdFueTtTpcHfypiTdIb2Vj8moVyb1VVRI7THYecWVmjZv\nvWosnn+kNwAAgKfJPn5Cq/bVNnOJD/PX4A4RbkwET+BjMuruix1PO3rtG+eKuVu6XXkl2nTouNPz\n/7c2y4VpGm7hpmztLaDbOiBJYQE+Dbpn++JXu/TkwkyP/XxhzirH+9GTB7Wn4ytajS8yc52ea7VJ\nX20/4sI0DffEx5nKK65tvNE+IlC/u7qbGxMBON31/RL1+i391TEy6IyvhfibNX1UJ/1jYrqMbAhF\nC9XgwnUfHx+1a9dOFovnHTMGAC1dXFiA/nvnQEUG1x6/VFpZo6mz1mhPfqlTz7Fyz1HtP1puv05P\nClf3+NAmzwoAAADgTB9vzHG4HpsW76YkaC7Rof56ZVJfh46Bq/YW6u+f73BjKgAAgJZpwYZs2WoP\nE9X4PgnciIckaeKAdmobVHvv5Nud+Q1q+tNSHSwsr39SHbuPlMpWdxG5UY3FqpNjAJ0AACAASURB\nVJe/2u0wdv9lnVjTaNUevaqrLu4U6fT8t1bs162z1uhYWZULUzVc0YlqLdxU+xmYn9mo6zkhBa1I\n0YnqBs1/4YsdevyjLVq0OUcFpe49qXHhphx9Umf9Gg3SCzemKcjPs095AFqjy7rH6KuHL9Xcuwbp\nkSu76KHLO+vFm9K1+vFReujyzpxihBatwYXrkvS73/1Ojz/+uAoLW88RbADQXDpGBWv2HQMVUueN\nwdGyKt3yxmqnjpCac1q39Ul0WwcAAACaxbGyKn27M99+HRnsq6EpdIdsDQZ2aKvHrurqMPavb/fq\nsy2H3ZQIAACg5bHZbPpoQ7bD2HUUweGUAF+Tbh+a7DDWGrqum00Nu52fX1qpkc9/o+c+36EduSUu\nSuWchZtyHLqtd44J1tU96baO1s3PbNKbUwfo11d0Vkyon8PXQvzMmtAvUd3jHBuSrdhzVGNf+V7b\nc4ubM+p5LdiQ7XDi4DW94xQe6HueRwDeJSzAp0Hzj5VXa+7qg7pv7gb1/8tSXfnPb/XUJ5n6cmte\ng4vgL0RuUYWeWJDhMPbLS1PUr33bZssAoGEMBoOGpkbq3uGpmj6qk8alJyjQl40maPka9a94xowZ\n2r17t+Lj49W+fXsFBTkeSbB+/fomCQcArVWP+DDNun2AbnlztSqqTx7/llNUoSlvrtb8XwxRRLDf\nWR9XUFrpcCxViJ9ZY9L4EBAAAABoDoszDqvGWtvZbkzv+AYXGaDluvOiDtpw6Lg+3VxbrP6b9zer\nU0yIUqOD3ZgMAACgZdiSXaTdR2pPHu2dGKbU6BA3JoKnuXVIsmZ+s0dlVSeLJT/bclj7CsrUITKo\nnke2XD3iQ2U2Ghzea9ZnX0GZZny9WzO+3q1O0cEa0zteY9LilBLVfO9LaixWvbzstG7rozrTbR2Q\n5Gs26r6RnfSLS1O0/sAxFZZVKdjfrL7t2ijIz6yKaot++8Fmh1P9DhWe0HWvrtALN6bpSjdvALHZ\nbJqz+oDD2ORB7d2UBnCPy7rHaMFpJ282xPbcEm3PLdF/ftgvo0HqlRCmISmRGpoSof7JbVxSlGqz\n2fTIB5sdCuW7xYXqgcs6N/lrAQBQn0b9pBs/fnxT5wAAnGZAclu9Nrmf7n77R/sHknvzyzT1P2s0\n7+7BCvE/cxfv++uyVG2p/fByfB922gEAAADN5ePTblZcmxbvpiRwB4PBoGev760duSX2gqvSyhr9\n8p11+vhXwzhuFwAAoB4frj+t23ofuq3DUVigjyYNaqfXv9snSbLapH9/u1fPXNfLzclcJzLYT6N7\nxjpskG2IXUdK9Y+lO/WPpTvVLS5UY3rH6dre8WoXEdjESR19vDFH++p0W+8SE6Kresa69DWBlsbH\nZNSgjmee1OfvY9I/J6are1yo/m/JdtlO3fotr7Lol++s1/2jOun+UZ3cthFk3YFj2plXu9Gsa2yI\n+rYLd0sWwF2u6B6r2FB/5RZX1Ds3PMBHpZU159yEZrVJm7KKtCmrSDO/2SMfk0F9ktpoSEqEhqZE\nKL1duPzMpkblrLZYVVljVaCPSXNWH3A4LdTXZNQ/J6bL10zjFQBA82vUHbM//vGPTZ3Daa+88or+\n/ve/Kzc3V2lpaXr55Zc1cODAc86fP3++nnjiCe3fv1+dOnXS3/72N1199dXNmBgAGm9E12g9f2Oa\nHnhvo/1DiYzsYt01+0fNvmOg/H1q36BYrTa9u+agw+MnDWrXnHEBAACAVivn+Amt2Vdov05sE8BN\nu1YoyM+smVP6adyM7+1dIHcfKdVvP9isl2/uI4PBIJvNJoOBLoMAAAB1VVusWripdiOo2WhgIyjO\n6q6LO2r2igOqspw8rfaDdVl64LJOign1d3My13nwss76dke+SiprzjuvW1yIAn3NWnfg2Fm/vu1w\nsbYdLtbfP9+h3olhGtM7Ttf0jldCeECT5j3ZbX2Xw9j9l7mvyBZoiQwGg35xaYq6xIZo2rwNKqmo\nXf8vfrVL2w4X64WJ6Qp2wyb5Oasd70dPHtyezznQ6viajfrHxHRNnbXG/jvJ2cSF+euje4cpxN+s\ntfsLtXLPUa3Yc1QZOUX2+o/TVVtsWrO/UGv2F+rFr3bJ38eoAcltTxWyR6pnfOh5T/m0Wm36Ymuu\n3l55QKv2HpXVJvn7GFVd4/iCvx7dWV1iOd0IAOAeF/Rb7Lp167Rt2zZJUo8ePdSnT58mCXUu7733\nnh566CHNnDlTgwYN0j//+U+NHj1aO3bsUHR09BnzV6xYoZtvvlnPPPOMxowZo7lz52r8+PFav369\nevbs6dKsANBUxqUnqLiiRk8syLCPrd5XqPvmrtdrU/rJbDSooLRKK/cUaP/RcvucPu3C1S0u1B2R\nAQAAgFZn0WbHbuvj0uO5addKpUYH67kJabpnznr72KLNh7WvoEwHC8tVWlmjtoG+urJnrKYOTVbn\nGG4QAQAAfLMjX4VlVfbr4V2iFBHs58ZE8FQxof66rm+C3l17SJJUZbFq1vf79NjV3dyczHVSo4P1\n1h0DdPfb6xzWSV1XdI/Rizf1UYCvSdnHT2jx5sNatDlHm7KKzjp/c1aRNmcV6a+Lt6tvu3CN6R2v\na3rHNckGgAUbcxzuV3WNDdGVPei2DjTG8C7R+vhXw3T32z9qT37tKQZfbM3Tda/+oNdv7a/2EUHN\nlqewrEqfbqk9ASLQ16Tx6Ww0Q+s0JCVC79w1SL/9YLPDKSP2r3eM0PM3pik27OTP1uFdojW8y8na\ntqLyaq3ad/RUIXuBwykGp6uotuq7XQX6bleBpB0K8TNrUMe2GpISqaEpEeoSE2LfHFZZY9H0eRv0\neWbeGc9R18AObXXnRR0v5NsHAOCCGGy2c+3hOrcjR47opptu0vLlyxUefrJ72PHjxzVixAi9++67\nioqKavKgkjRo0CANGDBAM2bMkCRZrVYlJSVp2rRpevTRR8+YP3HiRJWVlWnRokX2scGDBys9PV0z\nZ8506jWLi4sVFhamoqIihYZSAAq0ZC19Pc9YtkvPfbHTYaxHfKiOlVUpp+jMI6ievaG3buyf1Fzx\ngGbV0tczgJNYy4D3YD1L17z0nTJziu3Xnz9wCR1rWrlnFm/Tv77de945RoP0+2u6646LOjRTqvqx\nngHvwXoGvEdrWM+/mrPeoRDu1cl9dXWvODcmgifbm1+qUS98Y+9UGuRr0opHRyks0Me9wepxoWu5\nqLxa89cd0gfrs5V9rFy+ZpP6tQ/XlMHtdVFq5Fk3Tx88Wq5FW3K0aNNhbT1cfJZnrWUwSAOS2+ra\n3nG6qlecIhuxeaTGYtWoF77RgTqF669N7qurWM/wMs39s7m4oloPvLtRy7YfcRgPD/TRK5P6alhq\npMszSNLr3+7V04u32a9vHpikZ67r3SyvDbjKha5nq9Wm73YX6Lud+SqrqlFEkJ+u7hWn7vHOP1d+\nSaVW7j2qlXsKtGLPUYefo/VpG+SrIR0jNCQlQt/vyteS04rWz+ZP43ro1iHJTr8G0FK0hvfOgLdo\nVMf1adOmqaSkRJmZmerW7eTu9a1bt2rq1KmaPn265s2b16QhJamqqkrr1q3TY489Zh8zGo267LLL\ntHLlyrM+ZuXKlXrooYccxkaPHq0FCxac83UqKytVWVlpvy4uPv8beACey9vW869GpOp4ebXe+H6f\nfaxuYczp/M5zPBTQ0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awnXgQlHskkmBuCs6AEeyypFX0QArmRQR/i68sY1Mwts703stWgeAD/efxaKJAbBX6HVImEm7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\nvngA2FjJcNt4P9w23k/sKERkgr7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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#order by \n", "g = sns.factorplot(x=\"segment\", y=\"norm_stretch\", col = \"subj\", row=\"musician\", data=kernels.reset_index(), \n", " capsize = 0.1, ci = 95, whis=np.inf, aspect = 1, size = 2.5)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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33kkmk+FLX/qSTDkUYoKK2bD6ZGTSnYUSEYO8FTTsqJ2KwU0z0/Ho6M9jOuNn\n8PK2izUUfBWfGQ3ppe3qjgg6K2Mh+nM2edvD9XxChk40ZFBXEcHzFT0Zk1jY4I2Dac5YOh/amggx\n/ZSCTN4nV/BJJoIasnJ2QhNiVll8KTRdHHRHNHuDmrDas8qSCRPDzZlADGDjxo3ceOONnHvuuZx3\n3nk8/PDD5HK5UhfFdevWsWTJEu677z5isRjvfOc7h21f7KZy9P1CiNFlTAfTCQKMusTkM1jFhh1z\nYWHnnoxFV9ocMa1+NAO5oFNiLKRTGAq+/KHpiVWxEGHj8Jdd2NCJhYMgLWO51A59rrWJMFnLJREN\nMZi32dubZ1FVrJRJE0Icm6+C9ccKlqK+2pCGHkIUafq0tKgXkzOnArFrrrmGnp4e7rrrLjo7O1m9\nejUvvPBCaU5oe3v7vJ/KI8RM6h2ajldXESFkTP53q7hGVrFhx2y8Yu14PvsHCqXW8sdiOl4psPSG\norZoSC/VwY02BbMyFsZ0LDLm4UBM0zQWVUYxHY9O0yRruuzqypCIGCfcIEWIhcpxFV39LjWVBsm4\nnBcIIWanORWIAWzYsGHUqYjAqGsKHOnxxx+f+gEJMU+ZjlcKRuqTU1PPFQsb6Dr4ftCwY7YtXpwq\nOBwYKJSabUzEwFCnxGJtGICvRs+GFSWjIXoyFrbrY7ke0VDwOcTCwRTFgu0xkLeJh3X29eZZsThZ\neo4QYmKUgoG0h2Urait1dKkdE0LMMnKZSAgxqp5MUBtWHQ9PaRAQPyIrNlv4vmL/QJ72vvxxBWGW\n65XWCCtuFdI1nKEObmM1JDF0jYpo8Dlkjsq81VVEqI6H0HWN/rxDX9aivS9fmuoohDg+edOne8DD\nduR3SMxdc6S33rwxU5+3BGJCiBEczydVCOqeGiqntrthcT2x/CypE8vbLn/ozpbqvI7HYD7Y5sip\niEWjZsOOOLAXpxtmTHfYAV/XNJqq4lTFQuQsl850ME2xYyB/3OMTQgQcV9E94JLNz72lM8TCVuz+\nbdvjd+4VUyufD75zw+HpLQ2Yc1MThRDTry8bLOCciBokIlN7mEiEQ4Bd9oyYUoqejEV3xppQQ46j\nOZ4/IptlaOD6o2fDjEIf4dwBnGQLXqyWiohRWnOs4HjDPud4xGBxdYyM6dKfs+nNWoQMna60Kc07\nhDhBSsFAxsNyZKqimDtCoRCJRIKenh7C4bD0QphiSil8FSyvBmAYQRDW3d1NTU3NsGWwpoMEYkKI\nYXxf0ZeRu8kgAAAgAElEQVSb/ALOY4lFgi8R0ylfww7L9dg/UCBvnXgwWKwNOzIbVoznRmTDlE84\n3wVAOHcQL5JE08NUREOkCy4Z0x0R8NZXRBlI2hwcNNk/UKCuIkp32iIWNqiOS/MOIU5U3vSxHUVd\nlU40Iie1YnbTNI3m5mb27t1LW1tbuYczLygFChX8ecSFWE2jtA5hTU0NixcvnvaxSCAmhBimP2/j\n+xAJ6dNywh8NHW7YYTp+aariTBnI2RxMFfAnMUPJHZYNC47iGkHrbBglG2YOgBp6vvKIZA9gV7VS\nGQ2TLrhkLZdGpdCPCEoNXaOlLkF/ziZjuhwaLHByQwUd/Xmii5KzrtGJEHOJ6ym6BzxiEZ+qioUT\nkPm+Yvd+h1TWozppsGxpWDKDc0AkEmH58uUyPXESPE9h2grT8rHd0afBxCIatVUhwuHwtGfCiiQQ\nE8dt9+7dLF++nB07dsiabPOMUqq0gHPDFHVKHE0iEiJruhQcb8YCMc9XHBgolGrfJiNVcFAKQoaG\n7Q0/oI/MhilChd5gDNE6DGsA3U6jW4PEozWEjaC5R85yR7SpT0RCLK2Ns7s7R/tAnkVVUeKREG19\neU5rrJiSJQWEWMhMW2HaQUBWV2VgGPM3KHl9p8kzL6bo6HJxPUXI0GhpCnHd5dWc/XaZ8jzb6bpO\nLCb/TsfDcRUFK1hXsNSsR4PQGNeYwxGNWGxmQyP5Fl+gPvrRj6Jp2ojb7t27yz00UUbpgovjKgxd\nK61vNR1memHnrOXyh+7MlARhnq9K+zF0bWhqgypNSzw6G6bbaTTfAs3ASZ6EG28EIJI9BL5HMhoc\n9I+uNys6qSZBZSyE6yne6skBYLs+7f156aIlxBQxbUVnn0uuMD+beby+0+Shp/t564BDPKpRV2UQ\nj2q8ddDhoaf7eX2nWe4hCjElbEeRynp09rl09rmksv6s7pgqgdgCdsUVV3Do0KFht1NOOaXcwxJl\n1DOUDatPRqZ1usrhFvYTWzT5RCmlOJQqsLcnhzPGVITjlS44+CpozOEUa8OGdj1ap8RwoQcAN1YP\nmo6baEIZUVAO4dwhqoamf+ZtD9cbeRJo6BqnLUoC0J21GByqTctZHodScvIkxFTxFfSnPfpS3nEt\nYzHb+b7imRdT5E2fhhqDaCRoVBKN6DRUG+Qtn2deTMkSGWLO8nxFJu/T2efS1e+SzvlT9p0/3SQQ\nm0pKgZ0rz+0EroxHo1EWL1487GYYBs8//zx/9Ed/RE1NDfX19Xzwgx/krbfeGnM//f39/OVf/iWN\njY3E43FWrFjBk08+WXq8ra2Nv/iLvyjt78orr6S9vf2EPmIxfXKWS8H20DSoH2P9q6lSnI5oOv60\nZXVMx2NPT5bezNTNqfeVYnAoGxYydHwVfAEUS7tGZMOcHJqbBzTceENwp6bhJJcCYFj9RL080XBw\nKM5aowemtYkITVVRULCrK1P6zPqyNgM5qRkQYirlTX9eZcd273fo6HKpqtBHNEfSNI2qhE5Hl8vu\n/ZOfMSDETLJsn76Ux6Fel8GMN2eCryNJjdhUcvLwdyeV57U/exAiFVOyq3w+zy233MIZZ5xBJpPh\nzjvv5MMf/jBbt24dtW3qZz/7WXbt2sWPfvQjGhoa2L17N5YVZFZs2+Z973sfF110ET//+c8xDINN\nmzbx/ve/n+3btxMKyX/B2aJYG1aTCE977VEkpGPoGp6vpqVhR1/W4lDKPKG29OPJmC6er4JsWDF7\npUDTtVGzYaF8kA3zYnWgH/6/7ocr8GL1GGYf4ewBqmKt9DhBA5CaMaaEntaYpDdrkbM89g/kaakL\nft8PDBaIhvUpX2ZAiIXM94PsWN4aqh2bww0tUlkP11OEQ6Mf18MhjUzeJ5WdHWs7TjVpUDK/eL6i\nYClyhdk95XCi5Jt7AfvBD35AMpks/fz+97+fb3/721x99dXDnvf1r3+d5uZmdu3axemnnz5iP+3t\n7Zx11lmce+65ALS2tpYee/rppwmHw3zta18r3ffEE09QXV3Nz372My699NIpflfiRJiOR7oQZGOm\no2X9aOIRg6zpkrfdKQvEHM/nwEBhzHqryVBKlaYFhgwNy1V4vl/6Qj86G6a5JrqTBjicDTtyrInF\nGFZQP1br9dNDJZbrY7s+kVFOmKJhg9b6Cvb05Gjry7OoMkY0bKAUtPXlWbYoOXIBaSHEpJiWomfA\no7F27gZj1UmDkKHhuIpoZOR7cNygcUd1cv51YpUGJfPDqE035gkJxKZSOBFkpsr12sfpkksu4Z/+\n6Z9KP1dUBFfYd+3axd/8zd+wZcsWent7S9Og2tvbRw3E/uqv/oqrr76arVu38t73vperrrqK888/\nH4Dt27fz+9//fljAB0GmbM+ePRKIzRLFbFhVPDRjbdETQ4HYVDXsSJsO+/sL01bbkbVcHE+ha4qh\n0rCgVkzXqIqPkg0bqg3zItVBTdjRdAM7eRKRTBsRq5ekHiXrR8iYDvVjBMNL6xIcSpvkLY+3erOs\nbK4GglbcxU6K5ViXTYj5zHEV3f1BMBaag10Vly0N09IU4q2DDg1hbdgxQilFOu9z6klhli2dX+sT\nFhuU5M1giYJwSMdxValByc1/WSfB2Cxm2UHgVbAUrje/gq8jSSA2lTRtyqYHzoSKigqWLVs24v4/\n+7M/Y/ny5aVMmOM4vOtd7xpz/YoPfOADtLW18fzzz/PSSy9xySWX8OlPf5r777+fbDbLmjVreOKJ\nJ0Zs19jYOOXvSRw/1/MZzAe1ATOVDQNKAV/Bnlwg5vuKQ2mT/uz01koN5Iu1YQa26+N4fukK+YgO\nk76DYQ0ClLokjsaPVuNZ1Rh2ikavmyxLyJjumIGYrmksa0yy40CK7oxFU5VFXUXw3IIdLFLdUnf8\nF2WEEOMrrjtWW6kTj86tzLOua1x3eTUPPd1Pb8qjKqETDgUZsnTeJxHVue7y6nk1Xe/oBiXF4DMa\n0WgIa/SmPJ55McXq5dF59b7nOtP2yRcUBduf1Fqfc8ncOpqIadfV1cXu3bv5m7/5Gy699FJWrlxJ\nf3//MbdbtGgR69ev56mnnuKBBx4oTUU8++yz2bVrF01NTSxbtmzYrbq6errfjpiAvpyNUsFUwYro\nzF2bKXZOtFz/hLt1FWyP3T3ZaQ/CcpaL7fpoGqWxKhUERqNnw3oBhR+qQB0jW+0kTwLNIKHbxO0+\nXF+NG5zWVURoSEbw/WBKonNEp8XBvFPKbgohppbnKXoHPXoG3Dk3Perst8e4+S/rOPWkMAVL0Z/2\nKFiKU08Kz8vMkDQomTuO7HjYM+CRMxdOEAaSERNHqa+vp7a2lkcffZRFixaxb98+brvttnG3ufPO\nOznvvPNYtWoVpmnywx/+kJUrVwJwww038MUvfpErr7ySe++9lyVLlrBv3z6++93v8rnPfY7m5uaZ\neFtiDL6v6BsKYhpnMBsGQcOOkKHhegrT9Y672UR3xqQ7bU15Q47RDAzVhoUNDdtVWK5HeKhxzchs\nmEfIDC5euIkJZH31ME7FSYSzHdT6/VheFRkzNGbdnKZptNYnSRcGSRUcOlPmsCxYZ8okFjZK65MJ\nIaaWaSvMfpeKuE51hT5nFoE+++0xVi+PLojGFQu9QclsVWyc0p92iUd0FtcbTPMqNrOefFOLYUKh\nEM8++yyf/vSnecc73sHpp5/OQw89NG4tVzgc5rbbbqOtrY14PM5FF13EU089BUAymeTnP/85t912\nG1dddRWZTIalS5eydu3aEXVjYuYN5G08XxEOBZmdmRYPG2Q8l7w98UDMdn32D+TJWTPzBVqwPUwn\nuDw3LBs2Vm2Y2QfKQxkx/EjVhF7Di9ViWAMkIikShYNkQ600KIU+Rr1XMhZicXWMtv48nWmT6ni4\ntB6ZUtDel+e0RRVEQ/Ov+F6I2SJX8MmbPsm4TmWFPieaeei6xoq3Te/yJLPBQm5QMhu5nmLLGwW+\n9VKaA91B4xTD0GhuMPjAH1ey6pSZvRA8m0ggtkA9/vjjYz72vve9jzfffHPYfUeu9bRs2bJhP999\n993cfffdY+6vubl52LpiYvboHcqGNSSjZWnyEI8YZEx3wnVig3mbA4OFGZ22UMqGDdVUmK5XCr5G\nZMOUIlToA8avDRuNk1xCzMkTzeWxrUHyVoxkbOxD9OLqGIN5J8iKpU0SEaO07IDnqyAYa0zOy6vd\nQswWSkEm75O3FPVVOtGIVHzMBgu1QclsoZTCHGq0YTqKHbtN/vlfU5h2cOGiwtBxPUVHl8s//2uK\n9R+sXrDBmBwxhFigUgUH2/XRdagbY+2q6XZ4YefxAzHPV3T05+non9kgzHI98sUgcejag/LH7pRo\nWIOgHNDCeNGakTv0x65HUEYUN9FEImIQLxwiW8iPO7ZEJERTVZRISGcgb9NzVG2Y6fh0DIy/DyHE\n1PA8Rc+gRzonU91mg2KDkkRUpzflYdlBLbJl+/SmvHnZoKTcXE+RLfj0Droc6HHpTQX1Xq7j84NX\nMpi2T22lQSSso+sakbBObaWBaQePq2nqeDzbSSAmxGR5DvTtgdQB8ObOZOdiU4f6ivJ1jSo27DCd\nsRt25CyXP3RnSp0dZ1KxU2I4pOF4xWzYGJ0SgVChGxhaN+yoDGM4e5BY/5uEs2MvceHGG4gnKtGU\njz944Jit+OuTUWoTEfK2x0DeJnvU+mnpgkt32jz2GxXT7qtf/Sqtra3EYjHWrFnDli1bJrTds88+\ni6ZpXHnlldM8QjFZSkEqG5yInmgDIjF1FlqDknLwfEU659HZ53Ko12Vg6DM+sna7rcvlUK9HMj56\n45RkXOdQr0db19w5f5pKMjVRiMnK9YKVDm75Pkg2QUUj6LP3OkfedslbHpoG9cny1QuEjcMNOwqO\nN6xro1KK7oxFT2ZmGnIczfH8w4HN0Ot7niIWNUbNhul2Gs2zQDNwY3XDH7MGMcxeAAyzF6XpuBWL\nR76opqFqWginUuCkKWT6SVbXjznGWNigriJCwfFI5R16wibxSMWwWpWutEU0bFAdlyk45fLcc8+x\nceNGHnnkEdasWcPDDz/M5Zdfzs6dO1m0aNGY2+3bt49bbrmFP/mTP5nB0YrJKlhBdqyh2pgzjTzm\nq4XUoGSmFKcd5kwf01bH/H7O5Dw8T5Wmzh8tZGh4nk8m5wEL73tq9p4pCjFXmKngTz0MyoPMQeh5\nE/L9lCWCmIDeTFD3VB0PjwgoZlpiaHrikQs7W67Hnp7cjHVFHM2RnRIdT2E67ti1YUAoHyzg7Mbq\nQT9cAK55NpHsAQD8cNCgJlToJpTvHvV1VShOqLop2NdAO/jjT3WqT0aoioVwfUXe8kZtX79/IH/M\n6Z9i+jz44IPcdNNNrF+/nlWrVvHII4+QSCT4xje+MeY2nudx/fXXc++993LqqafO4GjFVLAdRdeA\nh+POzu+AhaTYoOTdq+KseFtEgrAToJSiYPr0pzwODk07PDrzNZbKiuCCxFiLMhcbd1RWLMzGKRKI\nTQE1S0+256o59Xm6FrgFQIPG06HmZDAi4Nkw2AY9O8FMl3uUw1iuR6oQTLlrrCx/cWz8qIWd+3M2\nf+jKTnqh58lwPZ90Yfg0CcdTREL6qNkwzcmjuzlAw40fkcFSikimPeiiGEpgV52CmwiWbAjlOzEK\nvaO+frTmJDw9gmvbQWA/jrChU50IU1cRYbDgkDFdctbwsRfXHDvWVEcx9WzbZuvWraxdu7Z0n67r\nrF27lldffXXM7TZt2sSiRYv42Mc+dszXsCyLdDo97CbKz/MU3f0uBWsBLYok5g3PV+RNn74jgq+c\n6XO8XyMnN4VobjDIFvwR53dKBXVlzQ0GJzctzEl6EohNQjgcpFDzeSmIn0rFz7P4+c5qxWxYtBKM\nECTqoHElVAaL9OIWoH9PUEPmFMo71iHFdcOSsRCxcPmvQMWGMmIZ06GtL8eBgULZE4mDQ4FqSKeU\nDYuExs6GhYdqw7xoTZAZHRLKd6G5edAM7Mq3gabhJhpxE0HGK5w7iGEOjNhfKBSC6qUA2OkedCc3\n7njrEhFiYYNoSCdvu/RkrBFBl+36tPfn59aFjnmgt7cXz/Noamoadn9TUxOdnZ2jbvPKK6/w9a9/\nnccee2xCr3HfffdRXV1durW0tEx63GJq+Ap6Bz0yeQnGxOxn2T6DmaDm62CPS1/KI38CwdeRNF3j\nA39cSSyiM5DxsIdqwm3HZyDjEYvofOCPK9EWaKZyYYafU8QwDGpqaujuDk7CEolEWVqAzxdKKfL5\nPN3d3dTU1GAY5Q8SjqkwGPwZqz58n65DZRMk6iHbBbmeoH6sJw3xOqhshlB56rJcz6c/V2xZPzvW\nkkmEDXJ20FTibXUVZV+Lx/NVKWMY/D4rLNenOh4ZdSqn5prodpCBOLJlvW5nSs077OQSlHH483YT\nTaB8QoUewtkOlKbhH9VlMVFZQzpXQ95KUZndj1WzHLSx5tjr1MTDeL6iL2sRDxv05SwWVQ4vRs+a\nLp1pk+bq+Il9OGLaZTIZbrjhBh577DEaGhomtM0dd9zBxo0bSz+n02kJxmaZwYyH7Siqk0FdrBCz\nhe0Ema+8pfDGmD44WatOibL+g9X84JUMh3o9PM/HMDRamkKyjli5BzDXLV4cFNwXgzExeTU1NaXP\ndVbzHChmKo4MxIqMEFQvgYoGyByCwgAU+oM/k4uCph76zAab/XkbpSAW1qmMlT/j6PtDDTnSFp4f\nTJuc6MLO0yVVcFAqaFHv+kE2rLgwcm1i5GcWGppe6IerUKGhwMd3iWT2A+BF60YEWQBuRTOa72FY\n/UQyHdiaPmwB6IpoiO7EYsKpLI5VIJTvHr3Bx5CaRIS06VAZC5OzvaAbVdQd8Xn2ZmxiIYPaivIH\n4gshO9fQ0IBhGHR1dQ27v6ura9Tj3J49e9i3bx8f/OAHS/f5Q2s2hEIhdu7cyWmnnTZsm2g0SjS6\ncE9k5oq8GSwAHYsGneLiUZmUJGae5yksJ7gVpjH4OtqqU6KsPDlCW5dLJudRWRFMR1yombAiCcQm\nSdM0mpubWbRoEY4z8+2155twODw3MmFweFpiuAKMcYKaUBRqW4NOiulDYGeCTFm+D5KLg0BtBjKp\nSqnStMSGZPlP2kzHo6M/j+n4RMM6ruVhuT5lWtIMAF8pUoXgM9I18PygtX5NIsiGjej65DsYVjC1\n0E0czoZFMh2gHJQRw0meNObrOcklgI9hDRJJt2NXteJHkkOvr5GMRSnYi8lZh6gN9eBFaw4He0cx\ndI2aRATPt0kVHHyl6MlYtNQZ6Ef9/zowWCAa1sse9HYtgNb6kUiEc845h82bN5da0Pu+z+bNm9mw\nYcOI559++uns2LFj2H133nknmUyGL33pS5LpmgdMS2FaHpGwT1WFBGRiermewrKHbo4as2nGTNB0\njdbmMAuxO+JYJBCbIoZhzJ0AQkyNYiA2WjZsNJEKaFgWbJc+CK4J6f3B1MWqZojXTt9YgcG8g+sp\nQoZGzSiZnZnUk7HoSpulWrBYyCA3FIiVU7rg4PlgaME0TtPxiJZqw0bLhvUBChVK4IcrgvvyPehO\nBtCH6sLGOcnSNJxkC5ry0e00kfQ+rOpTUeEEAJWxEBmzmnQhRa1yiWT3Y1WfNmbgXh0Pk8o7VEZD\nFBwPXdPoz9kjAm+lguYdyxYly9Y1M206pQsD893GjRu58cYbOffccznvvPN4+OGHyeVyrF+/HoB1\n69axZMkS7rvvPmKxGO985zuHbV9TE2RUj75/rlC+kqvgo7AdRe9gEJDVJHWiEQnIxOS5nsJ2FOZQ\n8FXOwEscmwRiQpwI3wMrE/x9ooFYUawaolVBe/vMIfAsGNgH2R6oOgmiySkfLhxewLkhGS1bLaPj\n+ewfKIxYeDgaDk5ArDK2WFdKlRaN1nUNz4O87VFXER09G6Z8QmYfAM5QbZjm5AnlgwYMTkXzmNmr\nYTQNu/JtRNL70J0s0fRerOrTUKEY8bCBoWtko83k3Q4SWh7D7MOLj147pGsadRURujMWIU3D84P3\nlIyObMzieor2/jynNlTM+P8H2/XZ3z87mtfMhGuuuYaenh7uuusuOjs7Wb16NS+88EKpgUd7ezv6\nLF53cDJ+t9c6oi4kaFPd3GAs+LqQI9mOonvAIx71qak0pIZMTJjjBkGXPfSn66pJNdYQM09TC2GS\n/iSk02mqq6tJpVJUVVUdewOxMOT7g/b0oRgsWnni+/F9yHUHUxXVUDYoWgVVSyA8gZP4CcqYDvt6\n8+g6nL64qiwNMVIFhwMDhVFbqHu+Ym9vUG93SkN5GnakCw7dGauUbCrYLp4f1Gq11idGBGJGoZdw\n7iDKiGLVrADlEx3cjeZbeJFqnKqTj28AyieS2hu0wddCQWYsFKM3azGYd6glzRK9F9CxalcMa/4x\nbDdK0TFQwHZ9XM8nZOhEQjottfFRA67aijBLaxPHN9ZJUErxVm+OvOXhWlnOXrZUjq9TbDq/t5RS\n7O92j/1EgiDsn/81hWn7JOOHF2/PFnxiEZ31H6yWYOwomgbJuE5VhS7rXYlhlAqCrWJ9l+0ofGnG\nOaXiUY2GmmPnqKbyGDs/L8EJMd2OnJboOUF7+nz/8e9H16FyMSxaBYkGQBvqsPgmDLYH+54CPZkg\nG1ZXEZnxIMf3FfsH8rSPs46VoWuEh64CW255smLFBZxDmoZSkLM8EhFjjGyYKjXpcOONoGmEcwfQ\nfAulR3CSS49/AJqOXdWKMuKgXCLpfWieTTIafCkMUIVrJACfcHbstcU0TaN+qBGHrmvBl7frM5Af\n/f/SQM4ZdRHo6dKdschbHrrOjAaAYmYpX/GDVzKYtk9tpUEkHAQWkbBObaWBafv84JUMSi7fD6MU\nZPI+h/pcMvmR6y6JhaMYeKVzHj0DLgd6XLoHPFJZH9OSIGy+kEBMiOPl+0GwBEEgVmxPP9gO9gmu\nKWeEoaYlWBS6ONUx3wfdvwsafPgnHpwUbI+c5aFpUF8xs1ef87bLH7qzDOSOHVAWOxNazsx/u2Qt\nF8dTaChcdbhToq5ro9aGGVYKzbdBC+FFazDMAQxrENBwKltG7YYZyvcQHdgF/jjZBN3Aqj4FZUTR\nfJtIai8xwy+tYdYfXgxo6E4awxwcczcV0RCxsI6uaYSGAu/+nD1mkNuZMslaE8tyTEbWculOW3i+\nx5KaeOnfXMw/bV0uh3o9knF9RCZW04KugYd6Pdq6pv//3Vzk+0HL+65+D9OWM+6FwnEV2bxPz2Cw\njldXvxsEXrYq+/qaYnpIICbE8bIzwTRCPRw04CiuJYYKar0mETQRjkHdqVC/POjGqHzIdkL3m5Dr\n5USOxMVsR3U8XDqhnwl9WYu3enLYE2zAUaoTK0PDjlI2TNdRKggYElGDqtgo2TAorQ/mxhvQPJtw\n9kDwc6Kp1LSjSHNNIoN7COUPoXkmkUz7+P+O+tC0RD2K5ltEU3upHIoFM46Bm1gEBItBjxfUFYNu\nT0Fk6D10Z6xRr7ArBe19+Qn/W50I1/Pp6M/z61//imuv+gCZvq5jbyTmrEwuqAkbq94pZGh4niKT\nK19d6FzguIqeAY++lCdNF+aRYrYrW/BJZT16B10O9rp09rkMZLwg4yX/3AuCBGJCHK8jpyXauaDZ\nhqaDEQn+nuqY/GtEk9C4Imh7b0TBd4L99vz+iMDv2GzXLy1OPJMt6zPpQboPdqCOY2plsTvhTE9N\nzNvuUBZO4QOm4xIxgiYZo2XDdDuD5pmAjhutDQIrfPxwctiCzjCUBRvcHdR9Fbd3skEQNR49jF3d\nCloYzTNpsPeD8ig4HoVIA8qIgXLH3U88YpCIBBknXQ/a8VuOz2Bh9H8Tz1e09eXwp+nbv2OggOW4\nfPmhB9n5+q/4/Oc/Py2vI2aHygoDY6gmbDTuUOOOygrJik5E3vQ51OtyoMehZ8AllfVwXDlTnysc\nNwi6+tMenX3BNMOufpeBtEc658/oel5idpFATIjjodTwQKwYFMWqoWaoOUNh4MTqxUYTrw2agVQt\nBT0UtLwf2Au9fwiCwGPoy1koBRVRg3hkGk94lAIzDYMd2Af+ne69OwjlDxFN7T3chOQYitPUHE+N\nWUs2HYqdEg096DKYNl2S0dA42bAeALxYHeFCTxCUaSHsypZSW/kjs2Aw8v0bZh9GoW/ccSkjilV9\nCmghwsqkwdoPyidredhDNWiGNYhuZ8bcR30yqBUzHb9Ua9afs3G80f9NTCfoajnVujMmWdMlZBh8\n98lH+eQnN/ClL31pyl9HzB4nN4VobjDIFkbWOSkVnJQ2NwSt7MXE+T6YtiKd8+nsc+kZcCmYUks2\nm/i+wrT9oLZrMAieO/uCoCtX8HFcmWYoDpNATIjjYeeC6WCaAdHKIOgCiNUEWazK5uDnVAc4U7RY\nraZBsjFo6JFcHGTf7Cz07oL+veCO3mjB8xX9uaEFnCunIRvm+8H7H9gHnTugfw9+tpfOgQw+BmgG\nmmcSzh2a0O7K0bDDdDzytnfEz0FtmGGMng3T3AK6kwU0fD2CYQYNO+zKpcFUVUbPgo0mnDuIbmfH\nfY4KxYaCMYNK3aIi1066YKPCCbxY0MI+nD0wZrAbDRlUxoITXcdTJCIGSkF3euzmHKmCQ/cULrSc\nNW1+8fobAJxUE2f5qa18+ctfJhqVbnnzmaZrfOCPK4lFdAYyHrbj4/sK2/EZyHjEIjof+ONKWU9s\nkkxb0ZvyONjj0p/yJCibYUdOMRzIHM529UhTDTFBEogJcTxK2bCqIBjynSAoKzbYSDZBpDI4MR5s\nO6GarjHpRrDwc+NKSNQPjWcwqB9L7QdveL1Qf87G94Paq6rYFC3g7LlBtq9vD3TtCIKwwgAoD/QQ\nB50EmcTbMOtWBYsZM5T9GaexxJGi4Zlt2DE8G8axs2H5oDbMCyUIl+rEGvEjVcfMgo2kiGTa0bzx\nFzVWoTh2VSvxaJiwlyOSace0XZyKxSg9gubbhHOdY25fN9RBseB4VEQNNC34e2qMKYoAXWmLtDn5\njqSgQvYAACAASURBVJ35gsl1H/8kN667kb273iiNRSwMq06Jsv6D1bQ0hTBtRSrrYdqKlqaQtK6f\nYr6CnOnTmwoafBRMOfufar6vsGyfbN6nPzVyimE278t0UXHcZE6AEMejFIjVDJ+WWOwKpmlQe3JQ\ny+XkIX0Aqk+glfl4QhGoeRtUNEL6YNCxMdcTBEjJJqhoRGkafbnDCzhPimsH79tMBY1KjmREg/cf\nq6bbNBhwDwcVfqQSN76IUKGbcHY/fjiOMsYfSzSkkwXMGciI2a5/RKfAoFNi2AjWOho1G+ZZGHYK\nlEL3LFAuyojjJhYTyvcQyncxsQDsCENt6q2aZUGmcwx+uAK3upV4bhfYGZz+NmKLT8NJLiGS3oth\n9uJGa1Dhke3gw4ZOTSLMYN4hVXCpr4jQm7Xpy1okIgbhUQJOgI7+PKc1JkcsBH08DqYtsgUT1zbJ\n9+w/4f2IuWvVKVFWnhyhrcslk/OorAimI0ombPo4bpAli+Z9kgmdaFjDkEWiJ8RxFaYdTC08cqKB\n5yPNUsS0kEBMiIlyCocbc0QrDzfliNcOf54RDgKl/reCAClaeThjNpXCcag/DaxMEJA5ecgchFwP\n6XADjhPDMHRq4ieQDXMKh4Mv56iW/KE4xGuC9xSOA5A2HboyI1v3u4kmdCeH7uaIpNuOGXDEZrCF\n/eBQp0RDD75kU6ZLfSIy+rphQGiopkvznKHAW8dJNBFJvXXMaYjjKXZStKtax32eH6nEqD8FdWg3\nTraPUCaKW7k0aJ9vDRLJ7seqWX74osARahMR0gUH2/XRtSBLajk+PRmLk2rio7+eD219eZYtSp7Q\n2nN9WYuCA1+4/36yB/dw6UV/fNz7EPODpmu0/j/23jxMrrO+8/28Z629urt6U2uXbCzLjpEXrAAm\nGAJjMkNmIJkMQy4D1wkMM0BCUIYbHBLu9ZMEx2EZJxeMM8mFEJhJuMllboIh3EtsB/BgsDFeJFuS\nF0mtXtRr7XXq7O/88VZXd6u7pdZmW9b5PE8/3V31nlOnqqur6nu+v9/3t8EEzpMzn7AuvEDi1dRJ\nLdMQpCxBJqVhmYkoWyCKJZ6/IL6SwIyEF55EiCUkrJcFN8zOL/aKaYb6/WRSReVYtWbVfLGBXUqg\nXQjsPAxcoRyxxgmIfOonnseWFr3D29C0dU5991vqPrarSnAuxcp1nS+M5a6WG0SMldeYnyYEfmEL\nqcqz3X6xILdxzUNYiNcPY0kYxasKovNBEMXU3cVSTjcIMTUN01hDuMYhultGBA4CgQRiPdVNTDxX\nNL+O0ZoizA6fcp2d62UuN0KqOUHYnMXQDILsCLrfREQuRnuGMDO0YjtdE/RkLMotn4oTMFxIMVZp\n4/gRDTcgv0bpqh/GHC87bO/Prnr9ahw8eJD7v/sgr//5fwPA9uE+Bi7fsO7tExISzj9BKAlCScOJ\nMXRB2haYhvq6lITZQk/XgvDyg0R4Jby4JEIsIWG9LCtLXBLSsYoDAUBhoxI3gQOVUeVerbX2fJDp\ng1QPreoUbnQMTbr0emMwV4PCCFgnla1Jqdy0BecrXtoTJDpOXsf50ld/qYhiyfGyc+pmZM3Ez2/u\nlNDNE5lZYrtn1aULgR1BJPHCCyfEFvqjdKGSEhdK9tZ0w9x5iAMMr0qY6kfzGnCe21uM9gyxkVrz\nsQE1CNfOD+BEkpY3Tak9A0IjyI5gNo9jODNEVhFppFZs25MxqbUDgkjSDiJKWYv5ls9c0yNt6ms+\n1k035EStzYbi6s7ZUiYmJnjta2+iqef4dG6Af/mWNzNwIYJiEhISzpowkjSc5QJkaXV92tbIpV8+\nztnSckPfT+ZzJby0SIRYQsJ6CP3FEj0rp8IxYLEssTmjHLLckArVAPWO1rMV5g6r3qrmNORP7Xic\nM5rGbFzE7b2CflHF0BrqtucOq2PNDUO4UHZYVyEbCwhdhZCkimAXFu/HKRivOOsqI1zaL2Y1J/CM\ntfvFUqZOEIV4YUz2AnyGV8JLCTEhJK4fKgG4lhsmY4z2vArnkDGmM42fX9vVOxesxjiebiONtUVP\nPmVQs3upeBG9cR3DmSLIjhCbBbSgjtmcwO/ZuWI7TQj6shazDY+K47OlL0PTU4/zXNNnuLhSvC0w\n1/BJmzo9mVOHbYyMjPCL73kfjx04zKuuv45NvacXbwkJCS8+C7lSUkKrHdNqx5iGwLbUyTHDAMsQ\naC/R3r4FpyuK1X2QUiXFup5MersSXtIkQiwhYT0suGFWXgkyGakBznZOXd6ahciH1hzkBiE7qKbo\nmikoblYJio0pJeIWtrkQhxlENFxVMtk3vA2IoDoG9XEVHDL2sBJamZISWpqxWHJoF87IsZuuu9Tb\n4ekXdljeL3Ycr2fnqv1itqHR6NyXC0HV8ZFSDTgOY6i1Q3pP0RumuxWM5iRmfYwo1duZF3ahAmfj\nTi/dzm4c/smkTB1TF7h2P3XdoEeWMVuThOkhtKCJFrbQ2/NE6dKKbQspg6rjE0TKBRzI24xX2jS9\nkKYXdmeNrcZ4pY1trD6PTkqJEIKqE/Chfb9F4Ptcual0wRzNhISEC89COeMCQigxZluCtK1hGsql\nf6GIY4kfSoJQ/RwvCK7Ocb6Yqf0ylkkgTcJZkQixhIT1sGyI85KyRFDO0kIEuYxUn1ZrVrljmX5V\nMujV1XbVUdUvtg636WyYa6reroIVY7vlTtJhUyUturGK1fdbyv0q7VSOnXbmH5bVrKm1Z1GtyrJ+\nsfaa/WILg5298PwHdsRyiRuGoO0HaEJgm2u5YZL03H5S5aeJ7B7CzMCqZX/nExH72PVRvOLapaz5\nlEm55VPWS+RMHaM9i9GeJjJy6GET05kisgsrxJwQglLWZqruUnF8iuksvRmTihMw21AlimsFc0gJ\no+UWlw3kugJLSsknPvEJJiYmuPue/8JEtY0mNLYMFMmeQtQlvMhELgjzgr0OJbyEkTFm43H0YI7I\n7CfI71n3iSUpOwEggRoorQmwTNVjZhoCQxfd8KMglESxRBMCTVNvM5pQ12uaituPIlWhEEbgB7K7\nja4JdF2tj6VExmr9SzUa/umjHvc+2ODEXEQUSXRdsKFf56035ZMRDQmnJXmnTEg4HVG4GNtu51Uy\nISyWJbbLK7eJQ+VANWdUOWJhE/iOCsGojkLfjvN+mIHn0Jwbx3brDBaAcMmHrFQv9G4HhBKEYVvN\nIJt11BDqTN+6b8cNIsYra4RznI519IvZpvpQEF2AwI5aOyDuuGGRVIEdPWlzVTdMhC72/NOkyk+B\ngDDdT3SK/q3ziQgdzOY4QX7zqtfnUwbllo/jR7j5IdJxhO6V0YMmghgJWM2JVZMYcykD29Hwwphy\ny6eUs2h6IUEkmWt6DBXWFppBKBktO+zozyKE4PHHH+eTn/wkcSx5w9t+mT3XvYqsrSd9YS91/BoE\nNdDTYOZBzyiHP+FljV1+gPzopzBbhxHSRwqLIHsFja0fxet7wxnvL5Z0Qy/OJ3GsXC94aQqvpTx9\n1ONL36jh+jG5tIaha4SRZGw65EvfqCXz8hJOSyLEEhJOh1dX381MpywxVvOzrIwSae1TDCuOAxVz\n35xRblprVrlUrTnI9p/7sS0kHbo16rU6essnZeqkzfTaSYe5wWUJi1RH1XEVRlZPgFxCFEtG508T\nznEaTtcvpgmBZWj4YXxeAzuklN0BzghoexECSFk6vSf1Pi3MBUvPH4A4JLJ7CLIvbPKf7lWQeoow\nM7DiOlPXSJkabhDT8EKM3EYgRveqEMWI2EMDNK+6avhHKWcxWXWptQN6MiaD+RQT1TYNNySfCslY\na781OF7ERLXNpt4M1157LX/6p39K1dfYc92r0DXB5r7MC1qulHAORG31BapMWc+CkQEjewHLbxNe\nDOzyA/Qe+iAiaiCNPmLNRsQeZnM/vYc+SGXX589KjF3KyFhy74MNXD+mN693X/csTdBrCCqNiHsf\nbHDlVispU0xYk0SIJSScjm4pYlG5SLDEDauwrrN2kQetGSWcZKzcMivbncO1btZIOoxjqLYDYrNA\ncXgIekprx+ULAdmSug+tWRUiEjgw/5zqEyuMrHlcY2UH/zyUDJ6uX8zuCDE3iM5biVvdDYk6cVlx\nLKm7IcWOG7ZQjiciD7MxrvqsWjPoXgUQuD2XnXsZVxyiBy0iK6dKQ9eB4UypJEVrpUDOp0zcwKPh\nqh63ILcZEcdo1NH9BrEQWM0TuGZ+xbFnLIOMpeP4EfMtn+FCimLa7JacbinpaGuIqfL8HPWqQdoc\nppSz+aVffg/HO+MLNvel1xwQnfASJw4h7jhlCCXIzLwSZ53nTxhJ5IvZiJNwdsiY/OinEFGD2Brp\nljxLPY3URtD8SfKjn8LrfX0iwM+A0emQE3MRubS24uSTEIJcWuPEXMTodNiZo5eQsJKL7j/u85//\nPNu2bSOVSrF3714efvjhNdd+/etf54YbbqCnp4dsNsuePXv4yle+8gIebcJFTxwr4QPKYXI77li6\n4zKsVpZ4KqysElDlozC1n3VZS3GsXLfKMbVN+Xlw5pQIEzqkeqikRnB6dkNpB/m+ofXNLNM0yA/B\n4G418wyh3L/ZQ2r2WRQsWz5Vc1UQyPmg0y+GMLr9YktJmee3T0y5YaqPT9Og7asgkPQSN8xwZrEr\nz6KFLUQUkKofASDIbkCuIoTO7ABirOYkRnsWs3mC9XeVS6zGcUTorrhmIVhDOYdR9zGNzRxRqhez\nPYsImyse2wX6sup+N90QL4wo5SwMTRDGkvmmv+o246PHeM/bb+HXf/WdHJuuUmn5jFeVCBvI22vO\nI0u42JAQtqA9Bc3noTUGfoVHDjR520cn+M9/VeY7P2oxORcmwuwiwGw8jtk6jDT6VvadCoE0ejFb\nhzEbj784B3iR0mipnjBDX/2klaELokjSaF2Y4KmElwcXlSP2ta99jX379nHPPfewd+9e7rrrLm65\n5RYOHz7M4ODgivV9fX18/OMfZ9euXViWxb333sutt97K4OAgt9xyy4twDxIuOrwaIFUpYuipn420\ncox8ZzHS/kzID6u5YuUjELiw8dqVJYFRqESRW1VCUC4RJCclHUpgbroJWkx/zjrzsjDdgOImJcbq\nk+o2nXnl9mUHITdIzY2ZbZxhOMfpOEW/mN0Z7OyF5+cNrOVFBJGK2Ipi5Y7lU4bqDZM+ZlW5YABI\nidk4jgjbSN3CL2w/59s3nBlE3BGCkYvRniXMrHzNWhUZYTVG8YrLXTldE2RtnZYX0XRD7JwOQsMv\nbMOuHSFMD2A2JwBBZPcQW8vTOlOmTs42aHoh802fkZ40gwW7W7KYs40VCYmO06I8P0sQ+MxMTzHX\nlgzkbQppk6FC0gfxsqVTwvjoAYO2Z/D4Mx6PP6NeD/oKGlftsDtfFoVsEgDyUkMP5hDSJ9ZW/x+V\nWgotrKIHcwSrrkhYjXxWR9cFYSSxVik9DDvBHfnkfyLhFFxUQuyzn/0s73vf+7j11lsBuOeee/jm\nN7/JF7/4RT72sY+tWH/zzTcv+/3DH/4wX/7yl3nwwQcTIZawPpamJZ5clujMn90+NUMFZNTGVPDH\nJGr4c6ZPCbCFpMOlJY+6vSi+rOyys5p1J8APY3RNrOh1OiMMG/q2q/LJ+qQ6huYUXn2GSTcP9ipn\nU8+RtfrFLGMhsAOCKD7ncrdK1w0TtLyQWEoyls4ANezKDLAodA13HqM9Bwi8/FakcW4hBrpXRQ+a\nAIR2L4ZXQffrnZLDwrr2ISIPq3FchW8s+RvkUyYtL6LuhvRlOyJcaHiF7dhSovkNzOYksZ7CK+1e\nUXa0ENTh+BGOr3rDCimDuhsy03DZ3JdZVqL4iiuv4u6//FtGNm1By/ZScQJmGi67NxSSvrBLgCeP\nrvw/LNdjvv94m+8/rnrNtg4bXLXD5uqdNpdvsbCM5HnxYhOZ/UhhIWIPqa8sOxexixQmkXke+pYv\nIbYOGWzo1xmbDuk1xLLXQCklzXbM5iGDrUMX1UfthBeYi+bZ4fs+jz76KLfddlv3Mk3TeNOb3sRD\nDz102u2llNx///0cPnyYO++8c811nufheYtn/uv1+rkdeMLFi5SLpYhWVvV4gSpLjOPF3rGzwcoo\n4dWYhtnDqk8rjtSMsUy/EkVGWgmvdM8pe8lmO5H1pZx1foZtWlnovxzaVcLqBCcqVYyoju7MEWSH\nie3iud/GElbrF9OEhm2oZD8vPDch5vhqaLFEIqWg7oYULMlgeALbXV7ypwUt9PYcWugQpkpE6XP7\nYCLCdkfULUldFALDLWM6M/iate44fC1odCL/R7qXZS1dJUDGknYQLYZsaDpecTvEIanKs9j1Iyp+\nP79p2T5NXaOQNqi3Q+ZbPhnLoJSzafnKQay0fH70j99g9zV72LbjMgBeef2NOH7IZFU9dsW0xWzT\nY3Nf5pweq4SXPn/yH3z2HxV874Bg/zGd47Mrz/SPToWMToV86wctTANescXi6h02V+202TxkrNl7\nmHDhCPJ7CLJXYDb3I7WR5SfUpESEFYLcT6ko+4R1IzTBW2/K86Vv1Kg0ok5qonLImu2YlKXx1pvy\nSVBHwim5aITY3NwcURQxNDS07PKhoSEOHTq05na1Wo2NGzfieR66rnP33Xfz5je/ec31d9xxB7ff\nfvt5O+6EixivoeaCacZiv5SZVSLJKavrzoagrdwmt6F6vUJf/Z4bVmLMb0G6D3q3Lk87XIWWF9L2\nI4RY7Pk5X8hUkTHDoJ1KYzrTiNjDaowi2xmC7AZiM3t+bkgIgvxm7Opzy+aLdYVYEJ1y0PDpqLTU\n304TAsdTjmNfXKeU1oAlb5BxiOFMo/tN1WeVLp3bzLA4xGxNARCZuW70fZTqQ4s8tKCF2ZpSA6LX\nGQSiu3PERpoopVxZIQS5lBJSDfektEPNwO/ZiRY0sZpjZGafoGEXV/S79WUsGm6IF8Tdoc4DeZup\nmsvf33svd932QTZsGOKvv/lP9PT2EUYx03Ulwgppg5xtUHUCbNNlMH9hZ6wlvLikLLjhFTGb+lWv\naK0lODCqc2DUYP8xnUpz+QmTIISnjvg8dcSHf2xQyGpctcPqljL2FZKSrRcEodHY+lF6D30QzZ9E\nGr1ILYWIXURYQep5Gls/mgR1nAW7t9vc+vPFJXPEYnRdsHnISOaIJayLi0aInS35fJ7HH3+cZrPJ\nfffdx759+9ixY8eKssUFbrvtNvbt29f9vV6vs3nz6rN8El7mrFqW2AnpcM4gpENK1UvmN8FrqnSy\nBbKDylkzUpAuqpJFgKAFMweVa5YbVgOZV2FhgHNPxjzvaXVTdZemF0G6RGT3dIYGzyFCB6v2PLFV\nIMgMn5cBx1K3VvSL2WYW3PCcAjvcIKIdREgpEXGAMz9Jj+bTm9JWDC5WYjNARB5hZoDI7j2HOyQx\nW1MIGSE1a0U/WJAZxGqMI+IA05kiyI6su+zTbI4jdasrhPO2Sb0d0vRCBqRc5jhI3cIduAbdr6P7\nNXInfkRj082qL7CDoath1hUnYL7pkbVU71jONrjmuhvZdOV13Pzq6ykUe5BSMl33iGKwDI3+3OKH\njOmaR8rUKSSBHZcMxazktbtDXrs7REqYmNc4MKqz/5jBwTEdL1j+nK63Yh7a7/LQfiXkR/oNrtph\ncfVOmyu2WqTtRAhcKLy+N1DZ9fnuHDEtrCKFSZD7qbOeI5ag2L3d5sqtFqPTIY1WRD6rs3XISJyw\nhHVx0Qix/v5+dF1nenp62eXT09MMDw+vuZ2maVx2mSqp2bNnDwcPHuSOO+5YU4jZto1tJ2cwElgU\nYkZmsR8s3atCOxYGPK+FjJWztSC+loZtCE2V/1k59T1wOiEZdbCLqmxR7UTdrlNWM8dyy9MQvTCi\n3laibukH4vNB1fGZayxJztN0wuwwYbqE2ZpG98pofh3bbxCl+ggyQ8o5PAdO7hdLZVVIxrkEdiz0\nhll+Fbc+TxSG5PMavanlb5C6W0EL22iBQ5jqQ+opYvPsS+2M9hxa5CLRCLLDK880C50guwGrMYbW\nKV9cbV7Y6shuCafULdKWjqkLgkjS8sIVyYVSt2kN7yU//gBaUCcz+xjO0PXLjqknY1F3A4JIUm8H\nFDMWA3mbdtDLJz/3RTYPldA0jXLLpx0oB3a4kFpRZjZWdtg5kOumXiZcOggBm/pjNvXHvOX6gDCC\nZyd1JcyOGhyZ1pBy+fNlci5kci7kOw876Brs3GRx9U5Vyrh9xDw/pdYJXby+N+D1vh6z8Th6MEdk\n9qtyxMQJO2eEJjoR9cmJqIQz46IRYpZlcf3113Pffffxtre9DYA4jrnvvvv40Ic+tO79xHG8rAcs\nIWFV/FYnHl5bLEG0ckoI1VePAycOF8WX75yUdKir7e2cGgy99I3Pzndct5oasty79SRRI9W8L2de\nJRvmhkDTmetEjOdTxnn94Nv2I8Yr7dWv1EyC/CbCdD9mawotqKO78+huhTAzQJgeOKc39aX9Yvn2\nOMhholg7q8AOL4xw2m3M1gx67FD1YvKWoO8kN0yELoY7DzJGCgN0kzC1cgjyetH8Brpf69yfQaS+\nupspdYsgM4TpTKH7tTXnha2+cYBVH+3OX8vZBhUn6AxkXvlBQFo5nMHryUw9jNkcx7YKeL2v6Lpw\nuiboyVgcn5rnk7/9Cd73nnfx6te9nv6cTRRDueWjC0G5pZ5zA7nFQJWlxDEc74ixkx3HhEsLQ4cr\nN0e8Mv8Dsn1/Trs2xxOVPTxaeQ2PVl/LlLO8zSCK4ZnjPs8c9/n6A00yKcHu7Xa3lHGo76L5uPLS\nRmgEheuSdMSEhJcIF9Ur2759+3jPe97DDTfcwI033shdd91Fq9Xqpii++93vZuPGjdxxxx2A6ve6\n4YYb2LlzJ57n8a1vfYuvfOUrfOELX3gx70bCxcCCG2YXVhnifFJZYhxCY0o5W0tn6ujmovgy0qcu\nPcsNqt6xyFf7Km5auUbGKtSjpdyTSjMFaPTnz58bFkYxo+XWacdcSSOFX9yG5qs5VSJqYzjTGO0y\nQXZIlfWdTVP+kn4xLXIpBjPUrGG84MyFWHN+GrM+g4akFUAYQ9EWy90wGXX7uCQCzDRSGMTm2c0N\nE5GH6ahQl3CVyPiTia0cYaSSFFV4h7nuUk8RtTEbYwSFreRTqrTQ8SOiWK4qgsLcCF7vZaQqz2LV\njxAbKYL8lu7fqZg2+cbffJUnH/8Jn3hmP9/8znfJp2waruo/OzhVp5S1KKRNCum1z/p6QcxY2WFb\n/3nqIUy4aLGqP6Jw5HZE3CKXKvKajft57YZHEdHvM+Fezg+0/4PHZy7jqeMGjrf8Oeu4kh8fdPnx\nQVXGONCjc/VOJcx2b7fJphMXJyEh4eLnohJi73jHO5idneUTn/gEU1NT7Nmzh29/+9vdAI/jx4+j\naYsvzq1Wiw984AOMj4+TTqfZtWsXX/3qV3nHO97xYt2FhIuFBSFmpjtCTECqR10e+SvX+p0ZVIa9\nRHydQe+U0KAwogYp+y1VjpjpW32tjCjPTCAdQbrYT+4sRcOK3UrJ8bJDEK5/QGts5fCsy9HdKkYn\n0MNsjmO0OwmLZv6MBZnqF9uEVT9GLqri+Gm80CS3zpcrEXlQHcOpqfJRiVzTDTOcWYQMkZqhRLSM\niOzi2YlIGXWGJ8tOoEZp2dW6WyEz8xOaI69dJra64R2hc+bhHX4N6UxDZgjb1PCCmIYb0LPGGAO/\n53J038FsjWM1xtXZ8bzqgdWE4D/+hw8wMzPH2/7NO9FNtY+BvM1Y2aHtR3h2xED+1OISoOGGTNVc\nhotJeMcli5RkJ/8cEbeIzcHu/5TUU0jNZiPP8vbM7dz86v9CLAVHpjT2jxocOGbw7KRGFC//H5yt\nRjzwqMMDjzoIAdtHTBWTv8Piss3WmkN1ExISEl7KCClPd+770qZer1MsFqnVahQK65v5k3CRE7gw\nexAQqhSwNaOcsdJOKB9ddMgWqI6qbXKDi67Z2dKuKtdLCOjZsqqYi6Xk0FxIJCWbCwY9GVsNic6U\nzmnO12S1zXzTP/3CtZAS3Z1XjpBcCCQRSM1E6taS79ayy9Y6ZqM1hVuZpNKOCHpfwUj/6WPzDWcW\nw5lmphVS9SRCSBwf5toxm/Ial/XqXSGmeTXM9iwAodWD4VeRaPjFrSDOvNTTbJ1AC1pIYawQU+nZ\nJxn+8R9heFWawz/Nib0fPylCOsJqjCHikNhIn1F4B4Cf30o5SjPX9LEN7ZRR8oYzi1V9FrM9i5ff\nzIl6RO9lr1KHISVjlTZ+GNObMSnlbKqOz7E5h4rjM1xMcdlgbt3u5Oa+9JqiEJLX1wvFaR/X9jQE\ntbPat5SSqXJ42nVG82l6D/06Us8g9ZWvYyJyEZFDZdefEOZ2Lz88Hw6O6Rw4ZrB/1GBy/tTPN9sU\n7Nq2EJNvMdJvJHPtEhISzpi0LejvOf1J3/P53nVROWIJCS8I3bLEPHidOWLp3sVhy0uJQyXCQDlh\n50q6R5U4eg0V4NGzdYU7UnVjIikxNUHRFqqXrTYGzRklyNJnXhZYafnnJsIAhCBK9xPZvd2ERYgR\nsY+I19q3UMJMN5cLNd1S+7FrCKeKUT8GpWvWvF8i8jAb42hhiyiW1H11fklIQdWLyJqCUnrRDROR\nh7kw3ytVQguUoxnZhbMSYbpb6e4jyA4v/s1kTO+zf0vp6a8iOkOjc1M/pHjsH6ht/+dL7sBCeMe4\nCu9w5wnPYIaZ1RijUNjJHOCFMX4Yr9rDBWqeme5VAcnTD36LOz7zOX7h/R/j5979GwghKGUtTtRc\nqu0A29CYa/rkUgYpS8PQNGbqHht7155rt5TxShvb0ElbSXjHpYYeVBAExNoaPZKahRbV0YMKJ8u6\ntAXX7Yy4bmcEeMw3OjH5x0z2jxo0nOXrvUDyxLMeTzzbSZHNa0qU7VCljMVc8vxLSEh4aZIIsYSE\nk1kQW7rVEWJChWk488BJBnK3JDG1LNHwnMgNQeiq2WXNGShsWHb1nKM+0Jcy2vKzvpGn3LnmBusX\nhQAAIABJREFU9KIgWwdtP2KiukY4x9mwkLCYHYY4QIt8RBQgYq/zPUBEC+JMqsvjNQJ04pC0Mw5o\nmCd8ZM8WpGYjdZNYt0Az0dtznT4v9bhUPEksQXR6w4IYhrJLesNkjNmaZqGEMDZSKqwDurO+zuju\nBk53+yA90C071PwmQ49+htz0IwA0NryaKNVLz9Fv0b//z2iXrsYvbOnuR+r2YniHVyXWU6ftMVvy\nQJFujpIxN+EE0HADSmslaQqBn9+EHbkcG5/Cxufoow+g/+I7ibJDZG2DlKnR8iKenWmST5lkbZ3+\nXIbjZYd2EFFrBxRP0SfWvU8SRsstLhvIYZzn8QoJL20isxeJiYj91R2x2EdiEJmnf50q5SWvvzrk\n9VeHxBLGZjX2H9PZP2pxeFwjOEnJVRsxDz7R5sEn1Ova5iGjO1T6ii0Wlpm4ZQkJCS8NEiGWkLCU\nKFAzvGAx9TBVUA7HarPD/Obi99A77QDmdaHpSkjVxpUQdDNKCAJ1L8aL1KyovtQaH2xDFyrHFh2y\n1NolfesN5zhrNJNYM1dP9O3M9lLCbKlQ87vf0Q1kpoTRmESrHkUn6IoTEQUYzgxCBspN00xCDFpN\nDV0YSGFS9QRZU9C/xA0z2nPqQ6DQlfDplCdGVuHMI/jjAMOZ6m4f2+qxtivPsuGRP8R0pok1k/kr\n30V74JUgY+zq86Qrh9nw8B8w9jOfWSa2VHhHD4ZXxXSm8XUTqa/vOSVin1J0AodhGm64thADpJEm\nTA/wz9/57+kfGuH6n7kFvT0Nmk6U7qeUtZmoVnF8NUx7MJ9C1wR9WYv5pt+dN7YecRWEktGyw47+\nbFIudgkRZq8kzGzHcJ5BavZJpbgSEdUIM68gzF55RvvVBGwdjNk6GPPWGwP8AJ6Z0Nk/arJ/1GR0\neuU2Y9MhY9Mh//BQC1OHy7eo2WVX77DZPGysGMOQkJCQ8EKRCLGEhKUsuGFWbtHtSveqn8OTXCMZ\nq5j66QPwg8+pYcxv/DgMXXXux2FmVM9Xa04JKiMFhr3ohqVXDiReQeBA+Yi6L/lhVWq59PCl+oB8\nJuEc5xUhVCmibp1SqHlag5YoYDJPMXSJUn3oXnWZCybiEGjTdGNsT5JC4oZQ9CT9WZvB0EZzTETk\no7vzIAyC/GaEjJeUJZ6hGybjztDmmFi3VSmhlBSOfZuB/X+KFof4mWGmr/uNrksWZEeY2fMhNj14\nG1ZzgoEn7mbu6l8lSvV2Y/+jVKkT3tHGbJ3Az60/vCOvOVjODH56iLYfrSgJDIKA/+e/fZlfetet\nkBlE92rc+LNvRcgYCZitSRA6vswpcS7V4OaF51pP2qTphXhBzEzDY6RnfSWKjhcxWXPZuM71CS8D\nhKA18l4KR25HC2aQehGpWZ0TLTWklqU18t5z6msFsEy4elvE1dsi3olL3RE8NWqwf9Ri/6hGub58\nfRDB00d9nj7q83/TIJ/R2L3D6pYylopJGWNCQsILRyLEEhKWsiDENFO5XEJTQ5br4yvXBm0lxp5/\nAJDQmIS//zW49t/Bdf/unAcck+5TQi9woDGFk91EK4gRQN+ZRDf7TZh/TgWO5IfVEGlgsubieGc/\nLPmC0xFqZrpApXA5tmeTs13M5iRhuoRX3A4yVO6ZDJFRQLntIfUQXfo0goCULijZIWYcg9voiDdJ\nbOUx2zOdQc4ukZVH96pdZ01qhgoSOYUAUkObPaRQQ5tF5DP4xOcpjD0AQHP4p5m+9kMYbhkhYyKr\nSGzl8K0cU9f9Bht/9PsUJr6H27eL9sA1BOlBpJlREf6Z4W54h+lMrTu8QxOCgmxQ9mwarrFMiEkp\n+eh//F+5///7JseOPMvHbr+TILcRq34EKTRiI4sWtqA6Si0aoJDKY+kaQSRxg4iUqSOEYDBvM1Zu\n4/gRDTdYdW7ZapSbPmlTpy+7dnhHwssLv2cv9R3/O9nJP8dwjqJFdSQGYeYVtEbei9+z97zfZiEj\nefWVAa++MkBKOFHWOqLM4uBxiXtSu2rDifnRAZcfHVC9vhtKuuot22lz5TaLtJ2U1CYkJFw4EiGW\nkLBAHKmQDFicB7ZQ1teurlzvN1W54vRT6vetr4HRH8BPvgzjjyh3rLDx7I9HCNUfVjkGoUtlfhr0\nfoopDetsopq9uvqyC5T1fsrNsz+0FxLb1EAIajLDlubzCBkCkjAzAKIjnFAhJk1bdnrDJHNhzEgm\nJtUbE8gQq36c2EiD0AntEiL20QL1IEjdRPfrq9y66Iqyxe8mInTQ3Yrqh8sMY7am2fDIHdj1UaTQ\nmN/9bio7fwGzNbncMevgbPhpKjt+nt4j36B06K84kd+MiEMiM6/WaTpBdhirOYEWttHdMlG6tMrx\nraRgC+qNOVq6RZy3u2VXQgh+7l/9a3744Hd5zc+8EVClkJHdh+6VETIksIrMV6dJxxOkerchcwUa\nbsh80+8GdNiGElPlls9c0yNjGese3jxZbWMbGlk7eeu5VPB79uIXb8RoHUQPKkRmrypHfAHKAYWA\nkVLMSMnllutcwgiePWFx4HiK/cc0jkxGK8qyT8xHnJh3+MdHHHQNdm5aiMm32b7RTAaVJyQknFeS\n+PrTkMQrX0I4ZRV2YaRVGmIcQO925XpVR1euLx+BA1+HQ/fCwBXwMx+F+efhB3+iShnNNLzm1+EV\nbzm3Dx1+k6AyzrFaiJ/dyM6hHlLG2e+vHURMVNqEdg9henDdA4RfNEKX48ePQdhmR6ZN1lU9WUFm\nuNtfJaXkWC0miFVIx2QzRheCXf266g9rz2F4Kp4+yG9WwsuZw2zPEWsGYWYAEYednrVQfcnVI7pF\n5GM4qhElsnqwG6OUDn4FLfII7SLTez5Me+AaNL+O4deX3ebJ+9n83X3Y9WM4pauZu/pXQGhIoRGm\n+4mtAprfwOzc1tL7ezqOViMCqVPauJNsZvlg5fL8HH2lJYmMcUSq8gzIgKmwgNN2SUV1hotp2vmt\nHK0rR2CkJ0XGMrqP90LMfS5lMFxY/3NI1wSXDeawDC15fb1AvBTi6y8Gmp7B0+NZ9o+aHDgSMlM5\ndYVAxhbs2q7KGK/eaTPYqyd9jwkJLyOS+PqEhBeTblmirvrBhK4csfnnVq4NPfU1+gP1+9ablKNW\nugzedg98/9Nw4gn47p1w/CF43W+eMjTjlFg55mURmKcnmCGl5Tnbf90glkzVXCSge1V0r0Zk9xJm\nBlWv1kuMhUTENAFtwBFZbFuFWRjODIGuEhQbvkpHREpaoSSIoZQV9NoCETgYnnI01f00QUbofh2p\nG4RrCRwpu+KMBYEWuljt+Y5gMigc/w6Fie8B4BZ3Mrf73cR2Ebv6HEZ7FhCEmWGM9mw3nj+y8mp7\n3WLqho+y+Z8+Qmb+AOnZJ3GGb0TEPqYzQ+w3CNMDRFYR3a91wjusdf2d8pag7EY88dB9/OWX/oJP\nf+EvyOXVm8UyEQag6fi5DYRzRwhaM7i57QxZBhoO2eZx+qyNlH2TuabPlj71vFsoURyvtGm6IS07\nXLfLFcWS4+UWO/rPw7iHhIRzIGeH3Lizxo07Qf6swXQjx/5Rm6eOxTx9xKPlLj9P7XiSnxzy+Mkh\nlfLa36NzVae/bPd2m1wmKWNMSEg4MxIhlpAAEMeLM8OWliWG3mIy4lL8JswcgnZZBWuMXKvi7qNO\nA8Jb/hCe+u/wyP8FR78H00/DzR+DTTec8aFFsWROlLD0Fj1WCPUTUNx0xi6blDBVdQnjpR8uJLpX\nRvcqRKkSQWZA9ce9yCydCwZg64J2KHFDSZQpoYUuWuRiOFMEuU1U3E5oh4CaJ7F0wXBOQyfuOkqR\nVegKLt2rI4iRmrm2yySEmm+24GRJidmaJEqXkH6D0sGvkq4cBqCy4+ep7HwbAqnEmlcBIDazSN1A\nC5cMPooDok6Zol/YytxPvZfBJ+6mdOirOIPXEqZKGG4ZLWxjNY4TWj3EegotcjFbk2pY9GlmneUt\nwWwr5A8+czdjBx7mc5/+Az52+51rrveMAvNBCoMGG5hF77uCuDGKFjQZDiaox8P4YWpZT1jK1OnN\nmFScgJmGxxZTX3fZVtuPmai2KSbvQAkvEYQMGc5VGb4K3nS1QSRyHJnN8NQxOHDE49njPlG8fJu5\nasR3f9Lmuz9pI4BtI6YSZjttLttkYZ5D5UJCQsKlQfI2mJAA4DdUCaJmqnlcoNIS26tE1oMSYqMP\nqp8371UR94URqI4pMdY4AT/1S0p43fd7auDyt/6TuuxV7z2jmPv5dowUoOU3kNUmVXhHu6xSFc+A\nmYaLG65VeiPR3Tl0t0yY7u/0Kb04Lw8nzwUDVCmmJ/EiCUIjyA5hNcbQIg+/PosXlQBJy1du2GBG\nuWGmM4WQkYq2X+jRkrIz0BjCM0hK1N15tLBNqnyY0qH/iu7XiYws09fvo7Vhb3ffZmuSMLsBKQwV\n4iHjTkS/h+7X1XapUldI17b9HJnpR8lN/YgNP/4Ux2++Cz+/BaM9o4Y7+1UkOkQhAjBb0wS5kVMe\nq20IMpbOb/76+/m7vynwkQ+8b821UiqX1E9toF+26TVDAq+CX9iGXTuCFjqMhBOM65sotwQ52+iW\nY/VmLZpeSBBJ5pseg2dQolh1AgJxjkPEExIuAEKGGLLKK0pVLu+3+Fc/nceJ+jg8JjnwvM9TRzwm\nZpeXZ0rg6GTA0cmAex9sYZmCXVutrjDbOGAkZYwJCQkrSIRYQgIshnFohipL1AwV+149vnJtHEJz\nFiYfV79vu0klEmoG9GxeFGO1MejbAb/4Z/DDL8DTfwf7/wYmHoU3/o667jRIKZlvdyLr82kQg9CY\nUsOlzbRy49ZB1Qmou+vp64gx2jMY7rwSZKn+dUennysnu2BLSXVeqbxIPSZCMwkzQ5itEziNCoZp\nE5pZar7E1AQjeQ3Lr3acKEGQHe7Gw2tBQ4kzoRNb66vt1vwmhlumMPodise+jUDiFndy4sbb1ODq\nDrpXQQvb6jZzIyqef+FKKdECByFDtKBJbHXGCQjB9LW/TuqBX8NqjjNw4M+Z2fMhgtxGdbvtWYSM\nEDJCa9fAjlR4R6pvxXFKKZmbLzPQX6JgCy7bsY3f+fhtFHWHwK0SpVYKz7mmjxfG6IZJYXALtE9g\ntqaIrQJeYTt27Qh5u02hfpya2EqtbdKTUeWRmhAM5lNMVNvU3ZBcKuz2ka2H6bq77rUJCS8GQvqI\nYJ4c81y3yebabXnif9ZDpaXx1BGPp474PPW8R6213C7zA8mTz3k8+ZwHNOjJaezeYXP1Dourdtr0\n5JKY/JcTMpaMToc0WhH5rM7WIQORBLskrINEiCUkSLmkLHFhiHOPuiwOVq73m3D8hyAj6NmqxJfd\nKW/rirHjajh0dUz9ftNHlHP23T9SIR///f1w4/vh6l/oCoTVqLqSMJYYmqAnJUAUVaS9V1eCrGfL\naZ2rth8x1/TO8DGJMJxpjPY8YXqAMF065XGeK6u5YEuxdIEmIJbgR2AbquyvqffgRvOko2lm4k0E\nscFAWtCnexjOPABhun/ZUGTDVaI7snvWVd4pIh+rdpT+g18mXT4EQG3rLcxe8/5l/VoicDBc5aAG\nmYGVvVxCENkFDLeM7tUWhRgQ20Wmrt/Hxv/xuxSPfZvW4HW0Rl6j4u7NNEZ7Hp06sQwwnSm0yMXT\nbWJzMYgjiiJ+74/+mO/c/z3++i/uZsOGDcw6knYIfiSxmuPEuqUi8ju0vJBaWz3HB/MphJ0jDupo\nYQuzOYlf3IZX3I5de54eu0XUHKWqbSOfWkyPS1s6hbRBvR0y2/DY3KcnA3ITXpYI6SECDy2Yo99M\n87rdeW66Jo+kyPhMyFNHPA4c8Tl8zMM/6bxXtRnzgyfb/OBJNY9y06ChZpfttLhiq41tJv8zFytP\nH/W498EGJ+Yiokii64IN/TpvvSnP7u3rr35JuDRJOksTEvymcrnQlHiCU5clek0Y/R/q5203KVdq\nqRjSDChuBt3sOGPjav9bXwP/+ouw+afV7Tz0OfiH31Lu1hrMOaqUsJTWFstacoOdfQfQnD7lXQti\nyVTd5ayjUWWI4ZwgVT6M3p5nRdbzOSIiD6v6vBokvIYIW8DunED2osVjmJG9RHoKQQz1KQxgJBeT\nctXjEptZInsxJEULWojYR6IR2etww2RM9sQP2fDjO0mXDxFrFlPXfYSZa39tudCKo8VeNDO/ptMW\ndS7XIhcRLS/Law/soXL5LwAw9Nj/idGeU1cInTAziJ/bRGz3ERtpdLdManY/2pL+xbbr8ehjTzI3\nX+GRR5/A0ASZTntbw5dAjF0f7Z5cCKKYmYZypIppsxu2EeQ2AgItqKO7VdAM/MJ2suk0NgHpxii1\n1vLh5qWsjaGJToliUm6Y8PJHxG30YAaj/TyGN86WvhZv2ZviP/0vfXz+t4b5rXf38S9em2XbBpPV\nJNb4TMi3f9jiM/+1wgfunOIPvzzPN77f5OikT5yEWV80PH3U40vfqDE2HZKyBMWcTsoSjE2HfOkb\nNZ4+eoYnQRMuORJHLCGhm5aoKcGkW6qHy11lrpSMYeqA6gHTLdj0KlWWeDK6qQI1qmMq8KM2AcWN\nkOmDt9yhyhR/eLeaN/Y3t8LrPwrbXrdsFw0vxo0kAkFp6QBnTe/0ox1XorBdhfTKkrPVwznOEhlg\ntiYw2rOEmaF1u0mn4nQu2MmkjIXADijY4IWSVgjYgxiNMWTkMazNMxSDiEPVo5UZXH6bnd6w2C6c\nNvACKek9/NeUDn8NISP87AZO3Pjb+MXtK5Yu60XLDKy9T80gNrNoQQvdq61YO3/lu8jMPkGq+hxD\nj36Widf+Xvc4pZHCz28mMnOkKofQojaZ2cdo9+0iSvWTy2b4s899iicPHOSfvfFnAChYAieQ1D1J\nKQ3IALs+ilvYznTdI4rBNjT6c4uiUhopwswghjOtwkmsHFK38Ht2UPCfodxwCGafJUpfhW6otxBd\nEwwWbCarLrV2QD5lkDKT0quESwMRt9HjNgQzSC2NbRTYvS3XdUMaTszTRz0OPK9KGedry3t1wwgO\nHvM5eMznb++HbFqoodKdUsb1xGknvPDIWHLvgw1cP6Y3vzjKwNIEvYag0oi498EGV261kjLFhDVJ\nHLGEhAUhtrQs0SnDaj5S4MCx76ufN14PVlZ9rYZuKTGmGRC6SozFkRIwV70NfuHPoHS5KjP8/38X\nvvcptf8Oc53esL60tjKNzkhBphM+0ZpRYu8kpk8ZznF2iNjHbI5hV59B81YZcr2efZyBC7YUuzPE\n2u04YuWFaGndYkoMoAvBNnECy50FIMgOLRNbInQ7/VsQ2qceJSDCNhse/iT9h/4bQkY0h/cydvNd\nq4ow3V3SF7akF20tuq7YQkDMUjSTqRs+SqynyMw9Se+zXz/pwARRug9n4FpiI0O1PM/zD/0DVuM4\nImwzPDjQFWEAOUuVdAYxtEPZuW8OjdlR3CBGEzBcTK0IEQjTg0g9BTLs/J1A6jb6wOUYhokeurjT\nzy47/oxlkO80803XXZIRlcv5/Oc/z7Zt20ilUuzdu5eHH354zbVf//rXueGGG+jp6SGbzbJnzx6+\n8pWvvIBHm3C2iLiN7k9jtI+geZOIsEY+FbP3qjS/+i97+MyHB7jzQwO86+cKXHuFTcpa+QG91ZY8\n/JTLl75R4zf/eJbf+twMf/mtGj855NL21v+amXBhGZ0OOTEXkVtasdJBCEEurXFiLmJ0+uUxdy/h\nwpCcZkm4tPEdVT4oBV1RkO5dfYAzqJCO8R+rn7fepESYpkNrVsXdn9wXZNhKjNXGlBirj0Nhk9qm\ndyu87W748Rfhib+GQ99UASBv/B3cvl00fXU8/WvNpsn0KeHmt6A+qfbXEQEVJ6CxrnCOs0NEHlbj\nONKZJcgOrTv04kxdsKUsBHb4EXhhTMOXSClxAokjspRSWfrkCTRX4GaGkEZ6+W13hGNk5k8Z0W82\nxhj50e9jNSeQaJR3/VvKV7xzVQdQhG0MV5WWBif1oq1FbGSQwlgS2rH8sQtyG5m95v0MPfbHlA5+\nFWfgGrzeK5atkWaaI9EG/vNn7iCDw6+msuzc/Uoiq0CYKnUDVjQhyJqChi9peJK0oRyyaqOGnjLo\nH9yAqa/y/BICP7cJu/YculclsnuJrTzSSJEavpzGxCHarTr5ylHi3h3dx6Y/Z+P4EUEkKbd8Srmk\nPwLga1/7Gvv27eOee+5h79693HXXXdxyyy0cPnyYwcHBFev7+vr4+Mc/zq5du7Asi3vvvZdbb72V\nwcFBbrnllhfhHiScORItakKkyoelsJFGjljLMlxKMVwyePONWcJIcmQi6PSXeRwZDzi5iGFqPmJq\n3uG+Rxw0ATs2maq/bIfNjo0mhp64LS8GjZbqCTNWew0FDF0QRTGNVgS8+GNhEl6aJI5YwqXNghu2\n4H7ptjrLH66R5nbkn1S8fW4ISjvBzqsSwYnHYOzhVZ2prhgTGgSuEk0LToJuwt73w1s/C9kBqE/A\n330Q75Evg4wo2hrWqd5k88PKcYt8aM4A4PgR82caznGWiKiNVT+GXX1uWb/SynVn54ItZWlgx6zT\n+XsJqPsSISUjmRChq6HJIvKW9bOJKEAP1PGtlhy4QG78u2z5p49gNScIrSInbvgo5V2/vHoZZhxh\nthb6wnLEp3HZFg9GdPvWdK+26pL6ljfR2Pg6hIwY/vGnEUuc0gX6h0eQ/ZfRMvoo9eQRoYvu17Ea\no2j+YlltwVbH3vAlQRQz1Ul365Nlilp7xX4XkGaGKKVcV7M50X3OpjJ54t7tSCFo1CuYjePdx1rX\nBAMd8VVxAtzg/DqyFyuf/exned/73sett97K7t27ueeee8hkMnzxi19cdf3NN9/M29/+dq688kp2\n7tzJhz/8Ya655hoefPDBcz+YOPmbvBgI6aEF8xjecfT2ETRvGhE5GLrgFVss3n5znt/9lX4+/78N\n8eF39PKzr8owXFpZ3htLeG4s4P/9bpM/+NI8H/yjae766zLfebjF1HyYONEvIPmsjq4Lwmj1xzzs\nBHfks0mZdsLaJI5YwqXNMiEmlBu2VnhG6KrhzABbX6tcByMNlcfUZb4DJx6HjTesjHw3Uh1nbFy5\nWPVJ1ee1UMY2cq0K8vj+Z+HIAxT3/wU7Jh5Be+NvAxvXPn7NgPwG5bi5NQI9w1RLP/twjrNEhA5W\n/QixmSPIDC9L5jsXF+xkUroSFLMOZC1B21dldyOirOZfWYOAQIt9jPZctwdLXxiwbGRWda1EFNB/\n4M/pOfpNANyey5m9+r24pSvXPBbTmUbI8PR9YahY+cPlmGfLEa/fYlKw8hjuPFrkISJv5TEJwcwr\nP0iqfAirdYLBJ/+U6es/smyJYRjc/nu/j6xP0GNLZBgg0RAyxnRmiP0GYXqQjGFgaBDGcLQWAwJb\nh4GMQGuM4RV3Io3V538F2WE0v65KUltT3fllxWIvU94WaB2n4FQwhUaQ3wxALmWQ8wyankpR3NSb\nvqTnJ/m+z6OPPsptt93WvUzTNN70pjfx0EMPnXZ7KSX3338/hw8f5s47Vx/K7Xkenrd48qVeX6W/\nVe0M/n4bpIah56eg91r1lVrpyiVcOIQMEVENohoSHannVCmwMMlYFtftSnHdLvU/OVcNOXBEzS57\n+ohHs7381d31JY8d9njssPr7l4q6ml22w2b3Dpv8WhUVCefM1iGDDf06Y9MhvYZY9jonpaTZjtk8\nZLB1KPmonbA2ybMj4dIl9NTMMCnV2X6hK4er/Pzq66efhspRJZ62vFpF1tcnlculm2of7ZoK8xh5\n5crtzbQK7KhNLJYTFjYuui12Hn72E1SH9pJ/5E/Ilp+Cv3sfvPY34PI3rx2OYWUg00fcKjM/NUqU\n2XTK0rsLiRY0sWvPEZsFwnQfhjO76lywsyVlCCabMbGErISaH2NHLbZm6uiaTpBVQsFsnUD3a8RG\nWqUM+g1g9QHOhjPDhkf+kFTlGQBqW95Mdfu/IChsXbPfS/WFKZdK9YWtduZacmg+4ntjId8fC5jp\nuHh/ddDjt1+dZk8mhx40O6EdKz8Ix1aOqet/k00P/jaFsftoDV3HFx6cw3HavP9X3gVAOp2C1A7i\n5rgqbxA6oVXE8KpoYRurMUqY6iNvFhmtx/gRDGYFw1lNRczLCKs+itezc/UxCEIjyG3Eqh9Fd+cI\n7R6kmSFl6qRyPTjEVNuTDBiV7lqA/pyF44d4YUzVCejNWiv3fYkwNzdHFEUMDQ0tu3xoaIhDhw6t\nuV2tVmPjxo14noeu69x99928+c1vXnXtHXfcwe233376g2k+D864+ir/GPiSujy9cVGU9V0L+Ste\ntIHuLyukxGgdRA8qRGYvYfbKFa/jgqgryrqbCQNpFIn1Iv09BjdfZ3DzdRliKRk9EXbml3k8c9zn\n5Dbg+VrE9x5r873H2ghgywajW8Z4+RYLy7h0T4qcb4QmeOtNeb70jRqVhuoVMzoOWbMdk7I03npT\nPgnqSDglySttwqXLghsWR6Abyt0KvZUBCgs88231fehqSBVAT8Hcc+qy3m1KmE0+riLlZw7B4K6V\n+zAzSnzVO2KsMQn5ke6bcyRhYvhn0d9wJZc98SmMmQPwT5+E4w/B6/YpsbYamX7mK1X8MOo4F5vO\nOdXwXNCCOlawxln5c8DQlCNmaoJWAFEYMCJnKdoakd3TnasV2T3oXhXDmelcJol1e5lTB5CZfpTh\nH38aPWgQmVnmd/0ybukqwswwUl9dzIrQ7faFhemBZW5WLCVPz0V8vyO+ZpecvU4bkDUFs47kN+93\n+PdXpfi3GxuqpDPdv6roc/uvpnzFOygd/itKj/4Jf3nPHKM1yY3X7+HaV17dOSBBkN2A1RhDyAAR\nB/j5LRjtGbSwjeGWyQd1Wk4vgZ6mLw32kg9jIlb9fn5h+6rPmdjKdx9PqzmO13M5CEEpZzHqFSjL\nmHwwS4p5pNAJs8MYukZ/zmam4THf8snaBpaRnJk/E/L5PI8//jjNZpP77ruPffv2sWMeTj+JAAAg\nAElEQVTHDm6++eYVa2+77Tb27dvX/b1er7N58+aVO539wf9k773D5DrLM+7f6dNne99VWXXLKrZw\nAwOmB0wJECCGD+LYCSEGkzgmCSSBBD5wiIHPARMIECB0x7QQ020E7shWs1a9a3ud2emnvt8f72hW\n21Rs2Zbkua9rr5Vmz5w5OzN75r3P8zy/e+4HK/bLr4F75P+1cLlidknZoK0Fs/Ys/FbPHZnp3xMd\n+Ap64TAKLgIDL7KIfNuNODWXn/S+ivBQ3HFUd4JAiyLUCEILo6oWi9oMFrUZXPuCGLYr2HvUZudB\nh55DNn0j0+eCBXB00OPooMdPH8pj6rB8gcVF5VDpzib9OV2tPhtatcji+tcmT8gRC9A0hc5mvZoj\nVtVpqWrEqnruqjRjPudkbYlOHo6ckB2m6lBMgVuUla5Em5wFa1wJI7vk3JgRkgZtpsyI3D7TL/Hz\nDMr2QkUhVQoIhMBItKG/7g7Y9h3Y/HU4tBGGe+CaD8k2xhlKFT3SegMmRVTfRiuN44cbnsqzc06q\n5AkE4PgBkyWIO6O0JgWKEcYN1Ve280L1KF5RVoUmD+GHG/CtExaSwqduz/eo2/s9FASlZDfjK96O\nH67Ds2oIzNjcByD8cpulnAvzrSR+IM3X/b0eD/S5jJ9gviI6XNlucHWHyhU1WRQ3x+d2x7in1+SL\nPSpDQx43XiwIO9l5Z8wmlr+NyOhWwhN7uO8vuvhC7qWsW3PR9I1UHTfagpnrR3NzCM3CjbWjOlnU\n/Ci5kk29O4hPHE00AdMreKqbw8gPVCpaM+VG29CcHIpfQi+O4EWaMTRVBjlTw3AAC5hAL46AouJF\nmkiEDXK2R8HxGcmW6KiNzLnvC10NDQ1omsbw8PTMv+HhYVpaWua9n6qqLFmyBIB169axe/dubrvt\ntjmNmGVZWNZpLPgW/jEkV8HgL2HsYZjYCqXB2dv5RRjfJL+OK7ZYmrKa9ejqxXjhRU9ryPv5LDP9\nexKH/gUlyCO0JIFqogQOemEfiUP/QmbxR05pxqROAH64ACpCDVW+LC3EmiXyCyCd88vVMoedB23S\nuekXFR0Pdhy02XHQhl9nSUZVVpXbGC/qtqiNV2eZnoxWLbJYucDk6LBHNu8Tj2osaNarlbCqTktV\nI1bVc1O+e0KQc3nhrIfAHZh7+4Mbwc1LMmLLxbIVLTckKwjJDmnCAGo65CzZxCEY3Sf3GZ9jsWVG\ny2ZsAOwsoCBizYwVTiAlqhpc8k6ZVbbx43K+7J5bYO3bYMOfynZIToBzqAZepAmjMIRupxF6hMC4\ncBa/gRDkXVAVyLmQ9FPUaCVqQjpepGV6NUeRKPnQ2C5Uv4RwcgQ1slqm2ZM0P/4poqNyti+98FVM\nLnwlCgqBHsY/wdDNlFEYQREeHjpbsrXcv6fIg73eFEofiBhwVbvBCzt1Lm3RsYQtc8Z8F1T4wKo0\nFzW38O9bAx4cizHyyATvWDvB0kWzjVi+UMAwDIYuvZWujTfTHUrxwbUGE3NcxRZ6GC/ciF4cRS+N\nIzSLwIzTVwzha2PEjEksLUswUURtbCYwp1dXtdI4gRbCD8/x+6s6brQNI3cMvTCCbyYReoi6iEm2\n5JFVa5jUNZLeKHphCKGo+OEGGuMWxyYKlNyAdMGhJvLca1E0TZNLL72U++67jze84Q0ABEHAfffd\nx3vf+97T3k8QBNPmwJ6UVAPqN0CkE7r+SN5WHJJzrse/JneBmIO4mjsEuUMovT+gEQi0BE58LW58\nHU58HW7sYoT27J1vRCAYGPPJF32iYY22Bu3ZWQgLQXTgKyhBnsBoqpyXhBZCqBaqO0J04Cs4ycue\nRNdCgBIUUIIpeI+kMcYJtBg1MZPnr4nw/DURhBD0j3rsPOTQc9Bmz1EHx50+XzaZD3hkR4lHdkg4\nVXujLrPLuk1WLDCxzKrRPl0pqsLCVoMqHbGqM1XViFX13NTxsObAlybKiEpjNp+OtyV2PA9Q5LZ2\nTrYKxmbM9zQsKaPqB+S8mG7JattMmTFZCcsOgp0h4wjcoAFNUagJnfAB2LQS3vgleOQ/YM89sP27\nEqH/kn/ESXQyNFmqwDkCM4bvJdCcDHphGCfeNRsccp5q0hb4AjQETqmAJVK0NqgE0ea52wgVfSpO\nQFFQ3TxmtpeWx/4VozROoFmMrHsvpboVqG6+HADdMv/iqJhi/9AkW4Z9fjxSw2BpalEcM2Tl60Vd\nOuubdUm6FAKtNIFeBoUIRUWoBqpv8+qmcZa+vJXbHhZMZif4wqZJLpmc5I/XJCqZcWPjE/z5+/6O\nxYu6+LeP/QMj626i9fHbqdt7F4XGtZQaVs86RN9KSnqim0UvDDFqtJPzdZRQE201CSbHR7A9ByU7\nhGFlynlhU8+dkR8oG7jZFUE/JNsTVTeDkevHqelG11RqwgapgsuQnyASUjBKI5KOqWgQqqUhZjF6\nQovinLj8C1y33HIL73rXu9iwYQOXXXYZd9xxB/l8nuuvvx6Ad77znbS3t3PbbbcBcuZrw4YNdHd3\nY9s2P/vZz/jmN7/JF77whbN/cOEWCP8BtP2B/L9fgnRP2ZhtgdQ2cCZm3U31M4TSDxBKy1xFgYoX\nWYZz3JjF1+Fb7c9Ii/SBXoeNm/OMpgKCQKCqCo21KtdcGmVJ5zNr/vX8bvTCYYSWnP27KwpCS6IX\nDqPnd+PFVj3lx1OEjeLaqO4YQrEI9ARCT6AoGh1NBh1NBq+8IorrCQ70yUpZzyGHIwPuLKhT/6hH\n/6jHr36fR1NhaadZaWNc1GqgVis8VVV11lU1YlU9N1UqhxEfR/2GkjIYeS5N9su2QBRYeLUEfBwP\nZo42zh3o3LRKYu7z43JurOMysObY7vjMV2aAzGQKQwuoa2yVIIUTZUTghbdC1+Xwu9thfD/ih39G\nbs2N+F1/MO0D3ws3oHolSborDM3bbnY+SQhB+njVSfgknBF0S5BIJGdVdo5LdXMIzSAwkwR6mNq9\nd1F76CcowseJdTB42QfxzcRUDli0ZZZp9QPB9hGfR47mGBroJecEDIp6xjGJm1OVr/XNOsYJMQOK\nV5LVs8CR+zFieGFJVjSzvSiBS7cxwb+/opn/eSzJlmNp7t0zxuYxnQ9dFaYxorLvwGH27D9A/+AQ\nA0PDqB0vIjO8mUTvb2jZ/GmOXfO5OQ2TF2lEyTm4dol8dhDC7TRENaKhKCm3E7eQIu+lSWpFzOwx\nvFAdvlVTfg8JzOwx7JoliJmZeIAba8NK5VC9PFpxHD9cT03EJFNyZXaYVk9DKEArjWHkehGKQjJc\nQ7bkUnIDRrM2bTXhWfu90PXWt76V0dFRPvzhDzM0NMS6dev4xS9+UQF4HDt2DFWdMqj5fJ6//Mu/\npK+vj3A4zIoVK/jWt77FW9/61qf/YLWQrJrVb5D/FwIKvWVTthUxsRWy+1BmLOMVAozCHozCHqLD\n3wPAN+orFTMnvg43ugrUszszc6DX4Ycbc9huQMRS0TQF35fZWz/cmOON18SeUTOmuSkUXAJ17scU\nqonqZ9DcFGc76VERNpo7Cu4YQo0Q6DGEFgNFw9AVVi60WLnQ4s0vhVwhYNdh2cbYc8hmLD2d+uEH\nsOeow56jDj/YmCMaUli5yGJ1t8XqxSaNtdXlY1VVnQ0poho6cVJlMhmSySSTk5MkEqcXWlvVOa7A\nh6Edsj1RlCtiiQ4ZtjyXHv0CPHEX1C+BF9wiq2FODqykzBIL18jqllcqtzqW5bvQ95isnBkh6Lx8\nqoVxhnLZNIODfSgoLGxtRI+fBCddGIff/qvcN5Bvfh7D62/GD01V3WTgch8g8EL10352PipjBwzl\nBX4QkBoZoFjIsaDWYsnixfPOqRjZXlTfxtdCNO34EtGRLQBk217A8PqbUaCcawZuuLEyo+UFgm3D\nPvf3ujzU55FzfJYo/Zi4BEaMBR3tXN1psL5ZQ595hVgINDuFXpIVBKGoeOGmaYZJ8UqYOfle80L1\nBHqIHQeO8q2dDlvdLqKmxgcuD3Flu8Evfv1bVizrZuECCV5Q3AJdG2/GLAyRbb+aoQ1/Ozdgw3eY\nGDqG5/kY4Tj1TZImOWkHDOcFluKyxBhH9WSOmFBN3EhjJQRbaCHsmiVzPrcyjkBWvEq1y0A1SBUc\nxnMOmqqwoD6CletHsycABSexgJIaozdVQAhoilskwrIKl8tmuGpVV/X8epZ1ys+t4jC4c2fYnUpC\nCIZH0hi5JzCz2zGy2zBzT6D62VPfVzFwo6sqFTMnvo7APHn0w0n3Fwi+8pM0Q+M+iag6Cx+eyQe0\n1Gvc+LqaZ6xNUc/tonbPzQgtIpH0M6T4JRS/QGrFZ89KRex0JNQwgRZH6PE5Ca9CCEZSPj0HJY1x\n92GHgn3ypWFTrVZpY1y5yCIaeu5Vuqu68BS2FBpqTn2R4Wx6g6oRO4WqRuwCVDEFqSNg52WVyozJ\nBac9B+Uv8OE7fwSFCVj7x5KYqBkS0pFog7rFsopSv1TePnFoehi0Z8ugZ7cIVgI6NkhC4wwdSXsU\nsikaglGaIhpE6mS1bR5N5Et4T/yQhp1fQw1cPDPJyCXvJ99yWWUbzZ5EL44C4MQ65s2KOh90ZNLH\n8cHNp7AnR8l7gpa2BXQ3RmZXDwHVLWDkBzByg9Tv/iZmfgChaKS6X8/komvxwrVlymCAbyYoWo1s\nG/G5/5jLQ/0eWWfqtLjKGuGFTSXWtoZYuGAh+hyvH0jzqxdGUH3ZshgYUdxw45wY8GmvTbQNozjK\neM7mHx9V2eVIE/6m5SY3rLGmVdoArNReOu//WxThM7z+/WQWzEaaD+UC8oU8SXuQlqiCiDbiWzX4\ngeDwpMT/dyVUIkEOvTiKUiaF+mYCL1wPikZgJnASC2f/okJgTR5E8QqVbQIhODZewAsE9VGT2oiB\nketFs9OAipNYyLhrMp53UBXoqouga2rViD1NerqN2NDEjFqOCNCLBzGy2zGz2zCzW9FLR09rf57V\njhtbW66arcWLLpdtxaeh/hGP//7pJJahYBizzwOuK7Bdwbtek6S96Rmq4AhB7e4/Ry/smzYjdvxn\nqjuCF1lGauWXngWyrVKulMURagjmqdr5geDwgFtuY7Q52OfinyQGUlFgcZvB6m6Jye/uMNC1ahtj\nVeefng0jVq0tV/Xc07QQZ6QRyw3PvW3f49KEGRFpwgJX4u3DtbKdUdUkkMMqVzwalpVNXtnU6Ra0\nrZP7sTMw+AS0r5/2AVzyBFknACtJIqxDaUQ+pqJCZDY4Ie94jOc96H4dxcY1tDz+KazMEdoe/Sjp\nhX/A2OobEHqoPC9URHNzGIUhnHjnnFdDz3XlHIHjg3CL+LlRVBViyQaEHsL2JRZ+pjQ7RWToMer2\n3Y0aOLjhBobXv5/AjKM5aTQ7hSdUetIaPx2N8lB/lpw7df8aS+EFnTovay6wNirQ1JA0s3OZMCEk\nKr/c4ihnZRrnbZmE6bNcRmEI34yzZ/tD9H7l61hXvx970dX8YK/DjlGPf7gyQlt86mqzXbuc8ZVv\np2HXN2h84j8p1q+a1n6asQMyjgA9QiLSiOaNQ3GMQDXRjAhRQyHrCLKOIBSJ4+gR9NI4mpNBczKo\nbh6vTNzU80N40RmwGUXBiXVgpfejOhlUOw1WDXVRk5GsTargyIpXrBMlCGSUQeYItYlF5HQV2wsY\nzdm0Jp97LYoXrBQVL7IUL7KUYvObAVDdCYzsE5jZrdKg5XtQgtKsu+p2P7rdT3j8ZwAEahg3tnqq\npTG2FmHMzv8DyBd9gkCgzbPo1zQIbEG+6POMLXcUhXzbjSQO/QuqO4LQkogyNVHxJxFqlHzbjc9S\nvIhACfJozvFsRwWhWgjFAEVHKDqoJpoaYUmHyZIOk9e/KE7RDthzRIZK9xyyGRyb3sYoBBzsdznY\n7/K/9+cImQorFpqyYrbYpLXhOYDJFwFGdhuaO4ZvNODG11WpolWdlqpGrKrnloSQoA7fLc8DyVBb\nZo0tl7X7J/J761p5n+NgA92SLYkw3SypmqySZfohLyseWHFoXQMDW6EwJvH2zVP48bGC/FBLmCqh\neC1oQt43PzZr/44fMDQ5tZhxEgvpfdFnqN/1DWoP/piaIz8nMraDoQ23YtcswYs0omZKKIGHXhid\nvag+DzRRCkAEaPlhAgGKGaW+rp6iD7YnCM8IKFXtDPU7/5v4oMxMyjeuZ3jDrfhWkiA3St+R/Rwc\nzXHvRBNb3S5c5PNfG1J4QYfOizoNVjdq6MLBzKYABS9UP2dFUfEd9MLwVBVMj+BGmk4rDPf4LJfq\n26hugQWdHdRFDVqKm3nllS/l/9vssm8i4D2/ynHL88K8qGsKqpFa+iYiI1uJjO2g5fHb6X3h7aAa\nOL6oBEfXhxXMcC1+3p5mxhOmXjFiDWGBomp4kSZ8M16ea3MxCsMETgbFdwn0EMGMIGyhh8qExhHM\n3CAlI048pJMuujieJCTWxyycRBdm5giqmyOUPUJzdCHHMpC3fXKlsz0hU9W5pMCow657MXbdi8s3\nuBiFvbKVsdzSqDuz0flqUMTKPIaVeaxymxdehBNbV6Y0rq+g86NhDVWVM2HqHGteebtCNPzMXoBy\nai4ns/gjlRwx1c8g0PEiy04rR+yZk0AJSijMNMiKzC/T5IxZ2FJZvzzE+uXyHDg+6VdM2a5DDtnC\n9HJZyRFs22ezbZ88L9YlVFYttsrB0iaJ6Pl3QfBksiY2Ej96O0Z+L4pwEIqJG11OdsEHsOuuebYP\nr6pzXNXWxFOo2pp4gamUgYmDsioWSsp2Qc+WYI2ZKqbgW2+WRm3DjZKOaEZlNSyclMHMKNJUzUXt\ny49J5Pxxk5cZlNAPIaChG+q6cX3B3nFJr1pcoxM9jgsujE8ZsWgjROoIAuhLF7C9uXtEwiPbaNny\nGfTSBELRGF/5DlJL34jiO5i5fgDcSBOBef68jwuuoC8bYBWGyGQzuGg0tS4kZOlMFAUJU6ElNrUC\n0/NDtD36MazsUQQKE8vfxtDSt/L4kOD+Xo/dA+Os8Xdj4XBItNFvdXN1p8ELOw0uatAqxEJEUIFq\nBHoEN9Y2/cDmrII1nPy5VTR8M4FWpigCELiVFknFdxgcm6ShYxF+tIWRfMBtjxTpKV99fk23wXvW\nhyphzHpxjK7fvBfNzTGx9E2MrvoTejMBti/zy9rj5ZkZEWDk+lF9m0CzcKJtHJqU4eHtcZWoMb11\n6sQZt+MmtNC8YVYYNkJgpfeh+Da+VYcb7yBvewxOllAUWFBuP0QEWJOHULwCKAaDejvjtoqmQp3h\nc/XqBdXz61nWM96a+CSl2kOYue1T5iy/C2UudP4MHUfnO7E1/O+OJWwZXo4Vjp0TM2LTJAR6fjea\nm8I3avGiK5+lStgJh3TGmH+FQIshtDhCi846/kAIeoc8eg7J+bJ9Rx1cf55dldXVopdNmcWyLhNz\njrbS80XWxEZq99yE4mcReh1CtVACG8WbQGhxUis+XzVj55GqM2LnoKpG7AJTuldWpYppWdEK10Nx\nnhDn7d+D338Rkp2w5i2yhdFKyDbEZKcMZg4lZQVsPpUyslVRlD+ZJg7D2H75Yda0imGthZGCT1hX\nWFI3w8ydaMZizQw6IXL2yRcpqpOhadudxAdkNahQv5rhS29BqHp5ca3gxDvnJOKdi+rL+riFLGSH\nmHQExUg7l3XFKXowkAuwNFiQlFdXo0ObaN78aTQ3j69H2bjgZr6dXc+jAx5FD8KUWKwM0mD5XN7o\nsrItSVdzPUFk9iyenh+SwciKNisCQPHdchVMXkUO9HC5CjZ/fozQQjiJBQjVxEofQPGLlEo2/3zb\nZ/iLt7+B5U0Gim+D7yLMOHZyoTRugeAbPTbf3eUggEVJlX+4Kjz1Ow88TNumTwDQc8lHORpbi6bA\ngqQ6DSSi+C5GrjwTZ8QZoJG0LYibCq2x2aUExXfQi6MVmEegR8m1XoGYETqtunnMyYMAOInFBGaM\nvpTMDUuEdJoS5Spi4Mu5Mr+EUAz2By04wkDxivzh5Uur59ezrPPFiM2SX8LI7yrPmW2TrV7ebHT+\nTAVCpd9eRK99Mcec1RwqrKYv34xlaM84NfFc1lPH/Ktl8EdEZsbNQcB0XMG+Y+U2xoM2x4ZP/l4x\ndFjWNRUq3dmszzn3e05KBDRsuxYjt4PAbJs9D+gM4MYuZmzdPdU2xfNEVSN2DqpqxC4wDfVMBTmb\nMdk2OBekQwj4n3fCZC8seZmEbBgRiDZJAmLtQrld3WJpxk4mtxzwfLzqNrIb0r0Eisp+azVOqI6u\nhE5yLupUfhQKE0wWXcaU2grZ76QSgsSxe2nc8SVUr4ivRxlZ+x7s2qWoXpFAs3BjHc/6ldlTqeQJ\n+tI2kdwxxgo+OaOW9qZGFiQ1vEBwKC0rg0uSgsa936Zu390A9GqdfNB+Fw96U0SylnDAm1qG2dAs\nWNCQQJgJjMIQAG6kZRrVUHUyGAUZZeDE2iskQUBWwYrjgJBVsHD9KV8T36qVM1zlD2LFK2KlD/Cx\nT97BN7/3AxZ2dfCrb9+B5WXQ80Ny+3i7RMqXtWXI418fLZIqCUIavPfSEK9YZKAoCk3b7iR55BeU\nzFruv/SzNNXVTK9yHf+9ygATgKzRwBE7jqrA4hp13oWP6mTQi2MoIkBoIYoNa3CjrdOMqZHrRyuN\nI1QLu3YpRVfQn5YGrqsugqmX39eBVzZjNnagcyBoJV8o8Y4XrayeX8+yzlsjNvvB0Ozeiikzs9vR\nC7PR+XMp59dRiq7FbL4EJ7YWN3bRWUfnn0+ajfmXrZsFO8Ay1CdlWAVamQ4ZQajhOeEfkzmfXYcl\nIn/nQZtU9iTUDyAeUWV22WKJyq9LnLttjEZmCw1P/FG5hXP2zKviF1D8PGNr7sZNXPIsHGFVZ6oq\nrKOqqp5OOXkJ23Dysr3QjM0f4jzcI02YZsrqFwqEEtK8HJ8N08xTmzCQxq1xuayGOVloXAFuiXxq\nmHD2CZTWS0lYdXPfN9pI3vGYLA1jMIqrKKduLVQUMgteTrFhNc2Pf4pwai+tmz9Fpv1FpBe/GhXZ\n1ubNUQk6l5QqBoRLw5S8AEcN4Vt1tMfKbXmqgq6Cl0sR3fIp6nI9APzEu5Kv2q/kgOigOaJwdafB\n1R0aF4dG0H0Noeo40WZZbfJlQLFeGMHRLVBlVcooyNk+ORcmP1wV30UvjpxQITp1FQwU3Ggbfng6\ncEXoYfxQPe9995+wY+cebr353RBrIsh5BEYMvTROoEemGbFLWnS++Moon3y0yJZhn09tKrF12Ofm\nDSH6V96ANtJDrNDHhgOfY/yqf5rzaAIjgheqRy+NE3fHCAU6JTVMzhEkrLmNWGAmcPQoenEMzc1i\nTexGc7I4sdbK3JgbaUGzMyiBpEaGoy1ELY287TOePwHKoeo4iUWYk4ewcGh1+zkYnMbfT1XPXSkK\nfqiLYqiLYuPr5E1ebgY6fzuqP/s8HtMmiJU2wtGNwEx0/toyOv8kMSEXkEQg2Lg5j+0G0zD/qgoJ\nXSWTD9i4OU93u3FGLZwKPoqfhUp0gSrhH2qobM4iJGMaV14c5sqLwwghGBjz2HlQGrM9Rxxsd7qp\nzhYCHu0p8WiP7DhobdBYXTZlyxeYhK1zp7KkuWMowiGYx+ALNYTqpdHcMdw5t6iqqqoRq+q5pOIJ\nIc6KIr/EPFfn9vxUfm9YLtsRjQjoYVkJsMpGKDyPeZpLqiYzxyZ7oTCOaF5NOl0AMUlL+gmU+stl\nq+MM2V7AkBdHNYto5UqNizpnkO9MudFW+q7+N+r2fo+6vXeR6P8d4YldTCx/G3ZNN4ERITDmCJk+\nB+T4Ajc3h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AMUSvWr8CInwSuLoGzGighU3FgbQj8zY4jwiQ48QsPOr2OWc7XSi65lbPX1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\n3v724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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(10,5))\n", "plt.style.use('default')\n", "plt.style.use('default')\n", "plt.subplots_adjust(wspace = 0.25)\n", "\n", "plt.subplot(121)\n", "kernels['musician'] = (kernels['musician']==1)\n", "score = np.log(np.array([0.75,0.25,1,1,1,2]))\n", "\n", "segment_mean = kernels.groupby(['segment'])['norm_stretch'].mean()\n", "kernel_range = segment_mean.max()-segment_mean.min()\n", "score_range = score.max() - score.min()\n", "score *=kernel_range/score_range\n", "score = score - score[2] + segment_mean[2]\n", "plt.plot([0,1,2,3,4,5],score,color='black',linestyle=\":\")\n", "\n", "ax = sns.tsplot(time=\"segment\", \n", " value=\"norm_stretch\", \n", " err_style=['ci_band','unit_traces'], \n", " condition = 'musician', \n", " unit='subj',\n", " data=kernels, \n", " ci=95)\n", "plt.xlabel(\"Time\")\n", "plt.ylabel(\"Stretch\")\n", "\n", "plt.subplot(122)\n", "#plt.plot([0,20],[score[2],score[2]],color='black',linestyle=\":\")\n", "segments = kernels.groupby(['segment','subj'])['norm_stretch','musician','melodie','rythme','rythme-melodie'].first().reset_index()\n", "segments_2 = segments[segments.segment==2]\n", "segments_4 = segments[segments.segment==4]\n", "downbeats = pd.merge(segments_2, segments_4, on=[\"subj\"])\n", "downbeats['downbeat']=downbeats['norm_stretch_x'] / downbeats['norm_stretch_y']\n", "downbeats\n", "sns.regplot(data=downbeats,\n", " x='rythme-melodie_x',\n", " #x='musician_x',\n", " y='norm_stretch_y', \n", " color = np.array([65.,105.,225.])/255, label ='note 5')\n", "sns.regplot(data=downbeats,\n", " x='rythme-melodie_x',\n", " y='norm_stretch_x',\n", " color = 'orange', label = 'note 3')\n", "plt.xlabel(\"Musical skills\")\n", "plt.ylabel(\"\")\n", "plt.legend()\n", "_=plt.xlim([4,18])" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "$ANOVA\n", "\n", " Effect DFn DFd SSn SSd F p p<.05\n", "\n", "1 (Intercept) 1 8 0.410244898 0.01113207 294.820121 1.346235e-07 *\n", "\n", "2 musician 1 8 0.002087415 0.01113207 1.500109 2.554923e-01 \n", "\n", "3 segment 5 40 0.291281312 0.07579277 30.745025 1.052423e-12 *\n", "\n", "4 musician:segment 5 40 0.023858257 0.07579277 2.518262 4.500104e-02 *\n", "\n", " ges\n", "\n", "1 0.82516064\n", "\n", "2 0.02345087\n", "\n", "3 0.77016545\n", "\n", "4 0.21536008\n", "\n", "\n", "\n", "$`Mauchly's Test for Sphericity`\n", "\n", " Effect W p p<.05\n", "\n", "3 segment 0.04390813 0.1920944 \n", "\n", "4 musician:segment 0.04390813 0.1920944 \n", "\n", "\n", "\n", "$`Sphericity Corrections`\n", "\n", " Effect GGe p[GG] p[GG]<.05 HFe p[HF]\n", "\n", "3 segment 0.6149905 1.496813e-08 * 1.042612 1.052423e-12\n", "\n", "4 musician:segment 0.6149905 8.024732e-02 1.042612 4.500104e-02\n", "\n", " p[HF]<.05\n", "\n", "3 *\n", "\n", "4 *\n", "\n", "\n", "\n", "\n", "\n", "\t Simultaneous Tests for General Linear Hypotheses\n", "\n", "\n", "\n", "Multiple Comparisons of Means: Tukey Contrasts\n", "\n", "\n", "\n", "\n", "\n", "Fit: lme.formula(fixed = norm_stretch ~ segment * musician, data = data_anova, \n", "\n", " random = ~1 | subject)\n", "\n", "\n", "\n", "Linear Hypotheses:\n", "\n", " Estimate Std. Error z value Pr(>|z|) \n", "\n", "1 - 0 == 0 -0.03981 0.02457 -1.620 0.58513 \n", "\n", "2 - 0 == 0 0.12950 0.02457 5.271 < 0.001 ***\n", "\n", "3 - 0 == 0 0.06849 0.02457 2.787 0.05945 . \n", "\n", "4 - 0 == 0 0.14383 0.02457 5.854 < 0.001 ***\n", "\n", "5 - 0 == 0 0.05067 0.02457 2.062 0.30728 \n", "\n", "2 - 1 == 0 0.16931 0.02457 6.891 < 0.001 ***\n", "\n", "3 - 1 == 0 0.10829 0.02457 4.408 < 0.001 ***\n", "\n", "4 - 1 == 0 0.18364 0.02457 7.474 < 0.001 ***\n", "\n", "5 - 1 == 0 0.09048 0.02457 3.683 0.00306 ** \n", "\n", "3 - 2 == 0 -0.06101 0.02457 -2.483 0.12894 \n", "\n", "4 - 2 == 0 0.01433 0.02457 0.583 0.99215 \n", "\n", "5 - 2 == 0 -0.07883 0.02457 -3.208 0.01669 * \n", "\n", "4 - 3 == 0 0.07535 0.02457 3.067 0.02642 * \n", "\n", "5 - 3 == 0 -0.01782 0.02457 -0.725 0.97893 \n", "\n", "5 - 4 == 0 -0.09316 0.02457 -3.792 0.00203 ** \n", "\n", "---\n", "\n", "Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n", "\n", "(Adjusted p values reported -- single-step method)\n", "\n", "\n", "\n" ] } ], "source": [ "from rpy2.robjects import r,pandas2ri\n", "pandas2ri.activate()\n", "from rpy2.robjects.packages import importr\n", "base = importr('base')\n", "ez = importr('ez')\n", "df=pandas2ri.py2ri(kernels[~(kernels['subj'].isin([5,6]))])\n", "\n", "r_anova = r(\"\"\"\n", "library(ez)\n", "function(df) {\n", " segment <- as.ordered(df$segment)\n", " subject <- as.factor(df$subj)\n", " norm_stretch <- as.numeric(df$kernel_stretch)\n", " musician <- as.factor(df$musician)\n", " data_anova <- data.frame(subject,segment,norm_stretch, musician)\n", " ezANOVA(\n", " data=data_anova,\n", " dv=norm_stretch,\n", " wid=subject,\n", " within=segment,\n", " between=musician,\n", " detailed=TRUE)\n", "}\n", "\"\"\")\n", "print r_anova(df)\n", "\n", "# returns multcmp posthocs\n", "r_lme = r(\"\"\"\n", "library(nlme)\n", "library(multcomp)\n", "function(df) {\n", " segment <- as.ordered(df$segment)\n", " subject <- as.factor(df$subj)\n", " norm_stretch <- as.numeric(df$kernel_stretch)\n", " musician <- as.factor(df$musician)\n", " data_anova <- data.frame(subject,segment,norm_stretch, musician)\n", " Lme.mod <- lme(norm_stretch ~ segment*musician, random = ~1 | subject, data = data_anova)\n", " #summary(Lme.mod)\n", " #anova(Lme.mod)\n", " summary(glht(Lme.mod, linfct=mcp(segment = \"Tukey\"), test = adjusted(type = \"bonferroni\")))\n", "}\n", "\"\"\")\n", "print r_lme(df)\n", "\n" ] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.10" } }, "nbformat": 4, "nbformat_minor": 2 }