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@anantmalhotra
Created August 12, 2014 17:28
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{
"metadata": {
"name": "Statistical Characterization"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": "Statistical Characterization of Network Traffic"
},
{
"cell_type": "markdown",
"metadata": {},
"source": "Interdomain traffic patterns significantly impact the evolution of interdomain topology and economics, Internet pricing, and policy considerations (e.g., network neutrality), thus we need more knowledge of the IP Networks' Interdomain Traffic Matrix (ITM) and of its dynamics. In this notebook, we take first steps towards inferring some statistical properties of the interdomain traffic matrix and rely on passive flow data collected at router-interface levels. \n\nIn this preliminary work, the focus is on spatial properties of the ITM, in particular, this is a characterization of the visible portion of the customer-customer(@RTR-ASN) traffic matrix."
},
{
"cell_type": "code",
"collapsed": false,
"input": "import numpy as np\nimport pandas as pd\nimport statsmodels.api as sm\nfrom scipy import stats\n%pylab inline",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "Populating the interactive namespace from numpy and matplotlib\n"
}
],
"prompt_number": 1
},
{
"cell_type": "markdown",
"metadata": {},
"source": "Heavy tailed distributions are commonly observed in IP Networks, it is likely that we obtain such distributions in our dataset as well. Create a flow dataset by combining aggregate flows in the ingress and egress directions:"
},
{
"cell_type": "code",
"collapsed": false,
"input": "master = pd.read_pickle(\"master\")\ningress = master[master['direction'] == 1]\negress = master[master['direction'] == 2]\n\n# define measures to characterize\nmeasures = ['bytes','speed','hopspeed','hops']\n\ninflows = ingress.groupby(['inASN','inRTR','egASN','egRTR'])[measures].mean()\negflows = egress.groupby(['inASN','inRTR','egASN','egRTR'])[measures].mean()\nflows = inflows.add(egflows).div(2)\nidx = flows.isnull()\nflows[idx] = egflows[idx]\nidx = flows.isnull()\nflows[idx] = inflows[idx]\nflows = flows.reset_index()",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": "flows.to_pickle(\"flows\")",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 3
},
{
"cell_type": "markdown",
"metadata": {},
"source": "Evidence for heavy-tailed distributions is observed in the majority of the rows \u2013 the top 5% of the destination RTR-ASNs account for over 95% of the traffic. Refer to the tail as the traffic sent to the top 10% of destinations by the corresponding customer. Also, only consider sources sending atleast 500 flows and from these ASNs extract top ASNs/Routers by aggregate flow count."
},
{
"cell_type": "code",
"collapsed": false,
"input": "cust_count = flows.groupby(['inASN','inRTR'])['speed'].count()\ncust_count.sort(ascending=False)",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 4
},
{
"cell_type": "markdown",
"metadata": {},
"source": "Keep those customers with a minimum 500 aggregated-flows which comes out to be about be the top 150:"
},
{
"cell_type": "code",
"collapsed": false,
"input": "cust_list = cust_count[:150]\nplt.hist(cust_count)",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 5,
"text": "(array([ 2381., 267., 106., 102., 55., 31., 39., 53.,\n 20., 6.]),\n array([ 1. , 99.9, 198.8, 297.7, 396.6, 495.5, 594.4, 693.3,\n 792.2, 891.1, 990. ]),\n <a list of 10 Patch objects>)"
},
{
"metadata": {},
"output_type": "display_data",
"png": 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96Y+PPvjgAw0NDUmSrly5oq6uLlVUVKimpkZtbW2SpLa2Nq1evVqSVFNTo8OHD2tkZESx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\nBQCARRQAABZRAABYRAEAYP0/c7GGXP8W5kIAAAAASUVORK5CYII=\n",
"text": "<matplotlib.figure.Figure at 0x496bed0>"
}
],
"prompt_number": 5
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": "Case 1: Keep Noise"
},
{
"cell_type": "markdown",
"metadata": {},
"source": "Here are the traffic distributions (CCDF) of three heavy hitters, we may obtain some distribution parameters by fitting the respective distributions ('Lognormal','Pareto') and then assess goodness of fit with the Kolmogorov-Smirnov test, although we are interested in characterizing the tail of these distributions, ignoring the values in the main body. This is due to the noisy nature of netflow sampling consisting of small values in the body."
},
{
"cell_type": "code",
"collapsed": false,
"input": "data = pd.DataFrame(cust_list[:3],columns=['count_flows']).reset_index().merge(flows)\ngroups = data.groupby(['inASN','inRTR']).groups",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 6
},
{
"cell_type": "code",
"collapsed": false,
"input": "dist = {'lognormal':{'params':{},'ks':{}},'pareto':{'params':{},'ks':{}}}\n\nfor key,value in groups.iteritems():\n speed = data.loc[value]['speed']\n params = stats.lognorm.fit(speed,loc=0)\n dist['lognormal']['params'][key] = params\n params = stats.pareto.fit(speed)\n dist['pareto']['params'][key] = params",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 7
},
{
"cell_type": "code",
"collapsed": false,
"input": "for key,value in groups.iteritems():\n speed = data.loc[value]['speed']\n dist['lognormal']['ks'][key] = stats.kstest(speed,'lognorm',args=dist['lognormal']['params'][key]) \n dist['pareto']['ks'][key] = stats.kstest(speed,'pareto',args=dist['pareto']['params'][key])",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 8
},
{
"cell_type": "markdown",
"metadata": {},
"source": "The tail of the distributions in the Figure below can be modeled as Pareto (CCDF in log-log scale resembles a straight line) OR this distribution can be modeled as LogNormal. The tail of LogNormal decays faster than the tail of Pareto, so there is a higher probability of observing heavy hitters that follow a Pareto distribution rather than a LogNormal. Here are the actual empirical distributions along with the fitted LogNormal/Pareto equivalents:"
},
{
"cell_type": "code",
"collapsed": false,
"input": "fig = plt.figure(figsize = (16,8))\nax1 = fig.add_subplot(111)\nax1.set_xscale('log')\nax1.set_yscale('log')\n\nX = {'lognormal':{}, 'pareto':{}}\nlognorm = dist['lognormal']['params']\npareto = dist['pareto']['params']\n\nfor key,value in groups.iteritems():\n speed = data.loc[value]['speed']\n ecdf = sm.distributions.ECDF(speed)\n X['lognormal'][key] = stats.lognorm.rvs(lognorm[key][0], loc=lognorm[key][1], scale=lognorm[key][2], size=1000)\n X['pareto'][key] = stats.pareto.rvs(pareto[key][0], loc=pareto[key][1], scale=pareto[key][2], size=1000)\n ecdf_lgn = sm.distributions.ECDF(X['lognormal'][key])\n ecdf_par = sm.distributions.ECDF(X['pareto'][key])\n x = np.linspace(min(speed), max(speed))\n y = ecdf(x)\n y1 = ecdf_lgn(x)\n y2 = ecdf_par(x)\n ax1.plot(x,1-y,label = key,linewidth=2)\n ax1.plot(x,1-y1,label = str(key)+\" lognorm\",marker='+')\n ax1.plot(x,1-y2,label = str(key)+\" pareto\",marker='*')\n legend(bbox_to_anchor=(1.01, 1), loc=2, borderaxespad=0.)",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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AI1+Cm2/ooooizuee14Ysm09vJjE3kYyiDDpZd2oQsrjaumJuZH7fj8+6lTFDJzjDBGcA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GMm/ePLp3786GDRtcft4rY2P59Kyz8ANe+PNPPti/v+K9226DWbOMQbSzZ8PXX4MLZ+TWi2hb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\nRERExCXKl/p4cpjy7rvGrbJevWD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"text": "<matplotlib.figure.Figure at 0x112cf5d0>"
}
],
"prompt_number": 9
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": "Case 2: Remove Noise"
},
{
"cell_type": "markdown",
"metadata": {},
"source": "Due to the noisy nature of netflow sampling comprising smaller values in the body, we filter the dataset retaining the top source customers (reference); then filter the top 10 percentile destinations as representative of the heavy tails. Define a function for getting the top percentile values:"
},
{
"cell_type": "code",
"collapsed": false,
"input": "per = 0.9",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 10
},
{
"cell_type": "code",
"collapsed": false,
"input": "def f(df,per=per,measure='speed'):\n return df[df[measure]>df[measure].quantile(per)]",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 11
},
{
"cell_type": "code",
"collapsed": false,
"input": "data_top = pd.DataFrame(cust_list[:10],columns=['count_flows']).reset_index().merge(flows).groupby([\"inASN\",\"inRTR\"], group_keys=False).apply(f)\ngroups_top = data_top.groupby(['inASN','inRTR']).groups",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 12
},
{
"cell_type": "markdown",
"metadata": {},
"source": "Here are (truncated) distributions with heavy tails retained for the top 10 heavy hitters:"
},
{
"cell_type": "code",
"collapsed": false,
"input": "fig = plt.figure(figsize = (16,8))\nax1 = fig.add_subplot(111)\nax1.set_xscale('log')\nax1.set_yscale('log')\n\nfor key,value in groups_top.iteritems():\n speed = data_top.loc[value]['speed']\n ecdf = sm.distributions.ECDF(speed)\n x = np.linspace(min(speed), max(speed))\n y = ecdf(x)\n ax1.plot(x,1-y,label = key,linewidth=2)\n legend(bbox_to_anchor=(1.01, 1), loc=2, borderaxespad=0.)",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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x48fDxMREmZ+CYRiGqQF8fHzg4+OD5cuXs6TDJ67aJx3YwVV9JJ9PRsjYEEhz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5JYeesW469epUNwMDbHjuFw7BjewcF8fO0aD7KzS/kn8Ozvp3btudSuvRCQuHz5HW7dKsP6ClWq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dAADwyGB7xSgzHSRpYeVCSdKu1l1ZWZMXSiIlunDBhYopphe2v+D1chA3WouF7ysd0hgkafSW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\nFf8f/v1xdxdTo5QAAAAASUVORK5CYII=\n",
"text": "<matplotlib.figure.Figure at 0x11243310>"
}
],
"prompt_number": 13
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": "a. No Sampling"
},
{
"cell_type": "markdown",
"metadata": {},
"source": "Although, these are truncated versions of the distributions, assume that these is *complete* and do an estimation of the parameters. To generate synthetic distributions of sourced traffic, we need to know the nature of the distribution and the associated parameters, in particular, the \u201cshape\u201d parameter of these two distributions in the heavy tails. Here are those distribution parameters obtained by fitting the respective distributions ('Lognormal','Pareto'):"
},
{
"cell_type": "markdown",
"metadata": {},
"source": "Assess goodness of fit with the Kolmogorov-Smirnov Test:"
},
{
"cell_type": "code",
"collapsed": false,
"input": "dist = {'lognormal':{'params':{},'ks':{}},'pareto':{'params':{},'ks':{}}}\n\nfor key,value in groups_top.iteritems():\n speed = data_top.loc[value]['speed']\n params = stats.lognorm.fit(speed,loc=0)\n dist['lognormal']['params'][key] = params\n params = stats.pareto.fit(speed)\n dist['pareto']['params'][key] = params",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 14
},
{
"cell_type": "code",
"collapsed": false,
"input": "for key,value in groups_top.iteritems():\n speed = data_top.loc[value]['speed']\n dist['lognormal']['ks'][key] = stats.kstest(speed,'lognorm',args=dist['lognormal']['params'][key]) \n dist['pareto']['ks'][key] = stats.kstest(speed,'pareto',args=dist['pareto']['params'][key])",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 15
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": "b. Sampling"
},
{
"cell_type": "markdown",
"metadata": {},
"source": "With the distribution parameters obtained by fitting the respective distributions ('Lognormal','Pareto'), sample some data from the two candidate distributions and threshold with the tail cutoffs on the list of all ASNs/RTRs:"
},
{
"cell_type": "code",
"collapsed": false,
"input": "data = pd.DataFrame(cust_list,columns=['count_flows']).reset_index().merge(flows).groupby([\"inASN\",\"inRTR\"], group_keys=False).apply(f)\ncutoff = data.groupby(['inASN','inRTR']).quantile(per)[measures]\ngroups = data.groupby(['inASN','inRTR']).groups",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 16
},
{
"cell_type": "code",
"collapsed": false,
"input": "dist = {'lognormal':{'params':{},'ks':{}},'pareto':{'params':{},'ks':{}}}\n\nfor key,value in groups.iteritems():\n speed = data.loc[value]['speed']\n params = stats.lognorm.fit(speed,loc=0)\n dist['lognormal']['params'][key] = params\n params = stats.pareto.fit(speed)\n dist['pareto']['params'][key] = params",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 17
},
{
"cell_type": "markdown",
"metadata": {},
"source": "Let X be the examined sample and F be the empirical distribution of X. The tail of X consists of all values in the top 10 percentile of the distribution, i.e., the values above some \u201ctail threshold\u201d $\u03c4$. Let F be a candidate distribution (Log-Normal or Pareto) that we try to fit to the tail of F. From the candidate distribution F we generate a sample X' and finally generate a sample like :\n\n$ \\hat{X} = $ {$ X\u2032: X\u2032 < \u03c4 , X : X \u2265 \u03c4$ }"
},
{
"cell_type": "markdown",
"metadata": {},
"source": "Then finally, perform a two-sample Kolmogorov-Smirnov test to check whether the distributions differ in the tails:"
},
{
"cell_type": "code",
"collapsed": false,
"input": "sample = {'lognormal':{}, 'pareto':{}}\nX = {'lognormal':{}, 'pareto':{}}\n\nfor key,value in dist['lognormal']['params'].iteritems():\n X['lognormal'][key] = stats.lognorm.rvs(value[0], loc=value[1], scale=value[2], size=250)\n sample['lognormal'][key] = X['lognormal'][key][X['lognormal'][key]<=cutoff.ix[key]['speed']]\n speed = data.loc[groups[key]]['speed']\n sample['lognormal'][key] = pd.Series(np.append(sample['lognormal'][key], speed))\n\nfor key,value in dist['pareto']['params'].iteritems():\n X['pareto'][key] = stats.pareto.rvs(value[0], loc=value[1], scale=value[2], size=200)\n sample['pareto'][key] = X['pareto'][key][X['pareto'][key]<=cutoff.ix[key]['speed']]\n speed = data.loc[groups[key]]['speed']\n sample['pareto'][key] = pd.Series(np.append(sample['pareto'][key],speed))",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 18
},
{
"cell_type": "code",
"collapsed": false,
"input": "dist['pareto']['fit'] = {}\ndist['lognormal']['fit'] = {}\n\nfor key in cust_list.index:\n dist['pareto']['fit'][key] = stats.ks_2samp(sample['pareto'][key], X['pareto'][key])\n dist['lognormal']['fit'][key] = stats.ks_2samp(sample['lognormal'][key], X['lognormal'][key])",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 19
},
{
"cell_type": "markdown",
"metadata": {},
"source": "Here is a characterization on all the customers for which distribution fits best. This is observed as *rejection* of the null hypothesis; implying p-values are greater than the specified cutoffs, threshold at $[0.8, 0.9]$ :"
},
{
"cell_type": "code",
"collapsed": false,
"input": "thres = 0.9\npareto_list = []\nlognormal_list = []\n\nfor key in cust_list.index:\n if dist['pareto']['fit'][key][1] > dist['lognormal']['fit'][key][1]:\n if dist['pareto']['fit'][key][1] > thres:\n pareto_list.append(key)\n else:\n pass\n else:\n if dist['lognormal']['fit'][key][1] > thres:\n lognormal_list.append(key)",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 20
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": "Distribution Parameters"
},
{
"cell_type": "markdown",
"metadata": {},
"source": "Investigate whether the shape of the measured distributions depends on the Customer's traffic throughput, i.e., on the total traffic generated by that Customer. The shape of the Pareto distribution is represented by the $\u03b1$ parameter; lower values of $\u03b1$ indicate a heavier tail. For LogNormal, characterize the shape of the distribution using the coefficient of variation ($CoV$); a higher $CoV$ indicates a heavier tail. Plot distribution parameters VS throughput for the customers as per their characterization above:"
},
{
"cell_type": "code",
"collapsed": false,
"input": "df = pd.DataFrame(data.groupby(['inASN','inRTR'])['speed'].sum())\ndf = df.join(pd.DataFrame(cust_count,columns = ['count']))",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 21
},
{
"cell_type": "code",
"collapsed": false,
"input": "dist['lognormal']['cv'] = {}\ndist['pareto']['alpha'] = {}\n\nfor key in cust_list.index:\n dist['lognormal']['cv'][key] = np.sqrt(np.exp(dist['lognormal']['params'][key][0]**2)-1)\n dist['pareto']['alpha'][key] = dist['pareto']['params'][key][0]",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 22
},
{
"cell_type": "code",
"collapsed": false,
"input": "df['pareto'] = 0\ndf['lognormal'] = 0\ndf.loc[df.index.isin(pareto_list),\"pareto\"] = 1\ndf.loc[df.index.isin(lognormal_list),\"lognormal\"] = 1",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 23
},
{
"cell_type": "code",
"collapsed": false,
"input": "df = df.join(pd.DataFrame.from_dict(dist['lognormal'],'columns')['cv']).join(pd.DataFrame.from_dict(dist['pareto'],'columns')['alpha'])",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 24
},
{
"cell_type": "code",
"collapsed": false,
"input": "sub = df[df['lognormal'] == 1]\n\nfig = plt.figure(figsize = (10,7))\nax1 = fig.add_subplot(111)\nax1.set_xscale('log')\n\nax1.scatter(sub['speed'],sub['cv'],s=50)",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 25,
"text": "<matplotlib.collections.PathCollection at 0x15e99690>"
},
{
"metadata": {},
"output_type": "display_data",
"png": 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YXV9/PUzl5fcft94Gxcf318aNq9S6detwjh50Bw8eVIMGzVRScriSpSVyOhPk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\n/PjJPgAAAABJRU5ErkJggg==\n",
"text": "<matplotlib.figure.Figure at 0x1706dd50>"
}
],
"prompt_number": 25
},
{
"cell_type": "code",
"collapsed": false,
"input": "sub = df[df['pareto'] == 1]\n\nfig = plt.figure(figsize = (10,7))\nax1 = fig.add_subplot(111)\nax1.set_xscale('log')\n\nax1.scatter(sub['speed'],sub['alpha'],s=50)",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 26,
"text": "<matplotlib.collections.PathCollection at 0x1690aad0>"
},
{
"metadata": {},
"output_type": "display_data",
"png": 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l2rp1a4fPBADo/AgtdAlf+1pfRUe3fPsLu71S/fr16+CJAABdAe/RQpewfft2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\nAABgCKEFAABgyP8H1cnE1oaRnKkAAAAASUVORK5CYII=\n",
"text": "<matplotlib.figure.Figure at 0x15c6dc90>"
}
],
"prompt_number": 26
},
{
"cell_type": "code",
"collapsed": false,
"input": "fig, axs = plt.subplots(2,5, figsize=(20,15), facecolor='w', edgecolor='k')\nfig.subplots_adjust(hspace = .2, wspace=.1)\n\naxs = axs.ravel()\ni=0\n\nfor key,value in groups_top.iteritems():\n speed = data_top.loc[value]['speed']\n ecdf = sm.distributions.ECDF(speed)\n ecdf_lgn = sm.distributions.ECDF(X['lognormal'][key])\n ecdf_par = sm.distributions.ECDF(X['pareto'][key])\n x = np.linspace(min(speed), max(speed))\n y = ecdf(x)\n y1 = ecdf_lgn(x)\n y2 = ecdf_par(x)\n axs[i].set_xscale('log')\n axs[i].set_yscale('log')\n axs[i].plot(x,1-y,label = key,linewidth=2)\n axs[i].plot(x,1-y1,label = 'lognormal',marker='+')\n axs[i].plot(x,1-y2,label = 'pareto',marker='*')\n axs[i].legend()\n i+=1",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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wcBKHigu0hE3odbF48eJsu+yfPHmSwsPDKT09nT5+/EhjxozJ9jZ1/fr1FBsb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\nYcQ9ikdAC+Rm5mrzrs1BX2faGlqj9JR0ikdAnEhPJl8BAIktJ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UrL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\nLi4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Rzp07S/78+eXPP/+U2NhY6dChg7Rt21ZERK5duyZ58uSRoKAgiYuLk0WLFknevHnl\n+vXrIqLPH3Vzc5PQ0FCJi4uTmJgY0TRNWrZsKREREXL48GHJnDmz1K9fX06ePCm3bt2SihUryty5\ncy3HX758uURFRUlERIR88MEH0rJlS8vrMxgMMnPmzBc5rSKi5pKnC8OGiXz66QsdQuWq/eeqykU7\nYDbr18PatUUiIpJs0r69XselRAmRc+dEYuNiZciGIfLSDy9J6OVQq+Tb8+6v8i1lrJWP6TIXw8NF\nypQRmTjxmXc1m0UWLBDJm1fPody5Rb6Z8Y+UmFBCpuydkuqhqmufysXUeK6M7F7bj2Wy6xABs7Rt\n8qWYk6l7FmeOkzoz68i0P6c98/OoXLX/XLVGLjpbt6tKeS7jxumFjtq3hzfesGz++GP4va2Ba78a\n2L3HTOmJpSmUoxB93ujz1EOaTpksPbv+W/3x3+qfauEa3A0Y3A0pbr9w4UJ++uknChQoAICfnx89\ne/bkq6++YsmSJXTr1o0KFSrosfr7s3DhQsu+mqbRunVratSoAUCHDh0YNGgQAL///jvly5enQ4cO\nALRt25ZJkyaxatUqOnfujKZpdOnSxXJspwfrpQ8ZMgRXV1cqVqxI5cqV8fT0xN3dHQBPT08OHDhA\np06dyJcvH61atbLEMnToUBo0aPAcZ0xJ9/r0gQoV4Ouv9XH/qUjlqspV5TGaBhMmwCef6AVb1qyB\nrFkTNJk5E06f1gcFvvsubN2aidHvjKZCwQp4zEl6tZm0yrdnzTVQ+aa8gBIl9BFIBoM+p/Ozz1K8\nq6bpHzfr19dLb65ZA8M+eZWG729jDO9wPeo6Q+sNTfP6G+rap3JRSZnME0bT/ffKfE9xcmyYwrql\nNWn2YZtE2zppTkz3mo5hroEW5Vtw7NqxZ742PUnlasbKVdV5lB7kz6/XVPH2RvbuZezIkQwOCODd\ndzVy5YI//4R/jzrhVc4Lo8lIy1daUiJXiWQP+WQyGg3GFwrRaDI+9zHOnz+Pm5ub5d+lSpXi/Hl9\nCt6FCxd447EOsxIlEr6uwoULW37Oli0bkZGRluOWKlUqXls3NzfLsQFKliz51OM9+e+LFy8CcPfu\nXQYOHEhwcDA3btwAIDIyEhGxm6JmipUUKQKtWiFTpjD2zh0GBwSk2ntA5apO5api4eQE06fr87fb\ntoWlS/UvyI/JmhVWrIBateCvv6BjR/j1V+hSrQsv53uZekPqJXro1My3F8k1UPmmvCA3N70G0oMO\nJOnRg7G+vim+PhUtCqtW6XXE+veHzctKk2f3Dqb3bsLVu9cY32QcTpoTplOmF/7ymRh17dOpXFSe\nJmjVKhZlc8YrwpcJcpf+/X2Z4j+Stv360bFnzwTtKxWqRK/qvei/vj+VClZ64fxVuarLKLmqah6l\nF+3bQ+HCBHfrxoUpU9iwfDnZsunlHwDmz4cPKn1Anzf60HddX9vG+oyKFSvGqVOnLP8+c+YMxYsX\nB6Bo0aKEh4dbHnv856cpXrw4p0+fjrft9OnTlmMDL5SQ48eP59ixY+zdu5dbt26xdetWhy+SpiRj\n0CCCx4+35KcjUrmq2I1MmSAoCO7fhy5d9CJHTyhYEH7/HfLkgd9+Ax8ffXvdUnWtG+tzUvmmvLAy\nZfQOJH9/gvv0eebrk6bpZf0OHXpQauxsEc74m5i/ZQ8dlnQn1hyb7ovbpoTKRcWedfD2ps/E73Fx\nikEDIq5F09voTwdv7yT3Gfb2MA5ePMi/V/+1XqBWoHI17anOo3QiaPp0vE6cYPuiRUyIiGCbry9e\nlSpRNHeg/ngQvF3KgG9dX45cOcKKIytSfOzUuGP0Isdo164do0aN4urVq1y9epWvvvqKjh07AvDh\nhx8ye/Zsjh49yt27d/n666/j7ZtcUnl6enLs2DEWLVpEbGwsv/zyC0ePHsXLyytF+yfW5vGfIyMj\nyZYtG7lz5+b69ev4+yccpmmPSa+kvqDAQLw++ojt9+/Hy8+gwMBUfR6Vq8lztFw1Go2YTCZbh2G/\nMmeGZcvg3Dl9Wk4iv8NXXtFHHDk76/WDZ8xI+eFT427si1D59mxMJhNGozHVjwvpOxeDtmzBK2tW\ntgcGPvf1qUQJfYGW6dPB1Tkv1yZu4Nfgi9T54X1izbFpGL1OXfuSl5FyEdJ3PqYFTdPQXFyIyZKZ\nPjij3b9JaGjSS7ubTpn4bsd3vFH8DRYfXoxfiB9GkzFVOoJVribP2rmaFrmoOo/SiQ7e3vT+9lvM\nOXKgAeboaPr4++M32ht3dwgPh61bIYtzFgK9Aum3vh+3791O0bFtmeiapjF8+HBq1KhBlSpVqFKl\nCjVq1GD48OEANG3alH79+lG/fn3KlStH7dq1AciSJYtl/yf/c3z47/z587NmzRrGjx9PgQIFGDdu\nHGvWrCFfvnwJ2ib17ye3Pf58AwYMICoqigIFClCnTh08PT1TdDzF8XTw9qa30Yg5Vy49P2/epI9/\n8nd9nofK1YT7JrXNEXLVaDRiMBhsHYZ9y5YNVq+GAwdgyBDEbGaMj0+8D1kNGsC0afrPn36qL0We\nErbsPFL59uwMBkOadh6l11zs4O1N74AAzAUL6tenS5fo4+f3zNcnTdNLjR06BK95/cn9UzX4878w\nvtn+Tap++UyMuvYl3DepbY6ei5C+8zGthIeF4Tl/Hr0qtUKjCb8uSHoFYIO7AaPByPxW8ymWsxhV\nClfBaDDavOPnRY+hcjWhtMhFTWx8u1XTNLu842uP1i9bRnCXLmjR0ZizZ8dz9myatGnDyJF6nd6O\nHfXpawA9VvUgq3NWJjef7FDn98iRI1SuXJmYmBhLMTJHl1SOpEXuqHx8fuuXLSO4Wze0/PkxnzqF\np78/TUaOTPH+jnbuHTFXVS7asevXwcOD9ZUqEbx2LU0fXB8f5+MDo0dD7txw65ZjnV9HzLensVY+\nOkIuWq5PRYtiPn4cz4oVabJpExQq9FzHM5v1DtnPv4wmumdp+lQdzo8f936uYznC+X2cysWnb0+L\n51J0N/45S1yVatRiN8sPvkyVKsm3b7esHUevHWW/9/6ndk442rl3xFy1Ri46xpnKIMLDwmg6dy7j\n33oLz549CQ/Te5U7d9aH5C9YALt26W3HvDOGX4/8asNoU8+KFSu4d+8eN27c4Msvv+Tdd991mCRX\nHEd4WBhNZ89m/IkTeBqNhI8erS/1lIGoXFVsJWjpUrxiYti+fHmSU3O+/RZat4Zbt2wYaCpS+aak\nlOX6dPQongsXEp4/P1SvDjt2PNfxnJz0maIjh2aF0A8IPOrP/gv7Uznq9EPlomIv8lYuwY63vmQS\n/Rg39umdBd7VvRER1oattUJ0tqdyNRWIjQHi5+cnISEhtg4l/Zg3T8TTM94mX18REHn1VZGNYSHi\nF+Injec1Fjv4Fb+wpk2bSu7cuSVfvnzSunVruXjxoq1Dsqonf4chISHi5+eXJr9blY+paP16kYIF\nRfbsSVFzlav2z9q5qKSc2WyWtUuWiE+RIiIgPkWLyrqlS8VsNsdrd+eOSI0ajnF+HT3fniap32Fq\n/24d4b2SqDVrRAoVEhk7VuSJPEmpW7dEXF8NESotlmLfvSS3om898zEc4fyqXLROLqbVMR3NyX/v\nyWEqSCun3+TMmae3X3Joibw5480E18snOcK5d/RctUYuqmlr6dHdu1CyJPz9t/43EBUFlSvD8eP6\n3VVfX4i4F0GurLnU+U3n1HDgdGz1aujRA4KDoVq1ZJuqc2//VC7aN8vUnGzZMF+7hufixTR5//0E\n7S5cgGLF1PlN79S0tVRw+rS+bG/RojBnjr404TP6+msYORKKe3/KW+9cZ3Gbxc9Um8Ohz28Goa6N\n9mdUgy10DOnGtL6hfDcpe7Jt48xxvDr1VX7y/ImGZRom2U6de/unpq0picueHdq2hdmzLZuyZYOH\no/P9/eG//yBnlpw2ClBRFABatIApU8DTEw4ftnU0iuLQLFNzzp3Ds0wZwufNS7Rd0aJWDkxR7JWb\nG2zfDqVK6dPY/vrrmQ/Rty/kygXnZn3P/tP/EvhX6q4yqijKs2s+vgG7qUXeaQHcuJF820xOmRha\ndyijto+yTnBKuqY6j9Kr7t1h1iy9auEDDRtCp05w7x706pXoqsWKolhbmzYwfjw0bgzHjtk6GkVx\nWJ/4+tKkTRs0Z2earF5Nj5079TspiqIkLXNmmDQJAgKgaVO9EvYzfIDMkwf69wdis1J42xJGhIzg\n74t/p128iqI81WuvwW91x9P9/lR+GZX0ymsPtavcjtM3T7PjzPPVQVMyDtV5lF69/jrkywebN8fb\nPH485M+vb3648pqiKDbWvj2MGgWNGsGJE7aORlEcX/nyMGIEdOkCcXG2jkZR7N+HH+qLPEyZoi/f\nGxmZ4l0HDABXV/hjVTn6vvwDHy79kIh7EWkYrKIoT9N9ZHG+w4eyP/UnOir5DmFnJ2d86vrwzfZv\nrBSdkl6pzqP0rHt3mDkz3qYCBWDCBP3nQYNsEJOiKInr2lUvRtawIZw5g4gwxsdHzR9XlLTSt6++\nFOnEibaORFHSh3LlYPduyJIF3ngDQkNTtFu+fHq6Aeyd2R4PNw96/d5LXd8UxYYaNYKtVftTNOYU\n279Y+dT2nat25tDlQ+w7v88K0Snpleo8Ss/at4f16+Hq1XibP/5Y/3567ZqN4lIUJXGffgr9+kGD\nBgTPmMGFKVPYsHy5raNSFMfk5KRP7w4ISPGXYEXJ8LJn1/Pmiy/AwwMWLEjRboMGQY4c8Pvv0KXI\nD/zv0v+YeWDm03dUFCVNaBoMHOJCH36i4vQBmCPvJts+i3MWBtcZzLfbv7VShEp6pDqP0rO8efWC\nvEFB8TZrGvz4o41iUhQ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po44GDkROnGCMj0+8jgfTKRNLQ5dSMHtBxu4ci9FkxGgyYjpl\nst2LUKxGdR45oA7e3vT++mvM2bKhAeboaPr46xfnTJmgeXO93Zo18ffrVaMXR64c4Z9L/1g9ZkVR\nkuHqChMn6sOIY2JStEunqp0Iv38QgKNHwWxOywAVxfF08Pam9zffYC5YUL+W3rhhuZYmJatzVvq9\n2Y+xO8fSqBFMmaJv9/ZWNUgVRdM0ypbVyOlymxa8hDnqBnMGHeLoUY182fIxuM5ghm0ZZuswFSXD\nqVVLn7YWG6tfr8xVqsGXXxLcrBkXpkxhw/LllrYGdwNGg5Ge1XtSvWh1jAYjRoMx3oAExXGpziMH\npGkamqYR7eTEoEyZiLp+3bINoEULvd3q1fH3e+eld/i0xqf8uPdH1XusKPamVStwd0e+/z7BXaDH\nmU6ZMJqMnLxxkmM3jpC95WDu1DSyZK/JuvEqSjpnuZZGRjKodGmirl5FCw19as2HXjV6sTZsLadv\nnsbbGwYO1D+Qt24NYWFWCl5R7FR4WBgtF83Ge1UYh139qXNuHB9UPcZ338Gnr/dl77m97D6729Zh\nKkqG8+23ULQo7N4N3h0D8Zo9m+1nziQ58rZ2ydqE3w63YcSKLaiaRw5qRkAApcqVo/F//7Fh8WLC\nP/qIHj4+gF6DIX9+fY7rpUv6NLaHLkVe4pXJr/DJ65+oOax2Ts0lz4BOnGB91aoEA03nzHlq/ZVq\n06oRsbMDJ+YPZu1a8PS0TpgZjcpFx2W5lrZuzYavviJ8zBh6bN8Or7+e7H5DNg4hJi6Glq+0pF5J\nA61a6TdsypbVP5jny2elF5ABqZpH6cfNm/Cb18/U+WMMb7KHl2vk5V2/WWy6OhdTZ5MqzpvOqWtj\n+vPrr/D++5AzpzB13DIO+Q8g4Px5fAsUwGPqVJq0aWPJy5i4GHIH5ObS4EvkypLLxpEryVE1j5Sn\n+sTXV0/wgQNpEhNDj3LlLI+5ukL9+iACa9fG36+wa2HeK/8e+87vs3LEiqIkJygwEK8WLdieJQsT\nIiNTVH+letHqXHf7GRCOHLFerIriKCzXUk2jiZ8fPYKC9Lnfx44lu1//N/sz7+A81oatJVMmvXxE\n1ar6yKP330/x7FNFcWh58kCXHT3I3MqL1Vk+4O999/mqTSeOnL7K6qPrbB2eomQ4rVuDlxdERGjM\nma0RHRHBIHd3feTtxYvxOnQzZ8pMzeI12Xturw0jVqxNdR45usyZYfJkGDAAiYiwTHfx8tIf/vXX\nR00fTndxzexKyKkQhmwcogqgKYqd6ODtTW+j8VEtsxTUX+lYpSNZsziD2zZVNFtRUkOrVjBqFDRp\nAufOJdmseK7itHqlleVDtaurPvKoSBEICYFBg6wVsKLYP/elY3nTIwubKvYjNiYTVxYF8NEMH/bt\nj7N1aIqSoWia/rUxRw7YvzuMAn1mM/7ECTx79CB81Ci4cyde+9olarMrfJeNolVsQXUeZQQGA3h4\nENyxo6Xo2fvv6/1Ka9ZgGZHwsADaT81+okbRGsSaY1UBNEWxE5b6K7duMahUKaKuXUOLiUl2WH/9\n0vVp7fYJVJ+hOo8UJbV0765XFm3cGLl2LdGVaIwmIzky52Dr6a18ufFLjCYjx+NMrFqlr2wzeTJs\n2WLD16Ao9iRTJlyWLsKDbRztOxn3mBZE38rFmz0WMGIE3Ltn6wAVJeMoVQq++gqu48v0BW24e1ej\nyfTp9GjSBD75RJ+68kCdknXYeXanDaNVrM0uOo+MRiMmtQxJmgkKDMRr7162r1ljKXrWo2El6r8Z\niIi+jPCTPNw9mHtwLidvnFQjj+yMyWTCaDSm2fFVPtqv8LAwms6ezfhTp/CsU4fw6dOfuk/veh9D\nuTUcPnEdVSYgdaV1Lip2bMgQaNaM4Nq1k1yJZpLnJKoVrkYW5yyWGzE1a8KIEXq7Hj0S3MRVlIwr\nVy5YvZryS78h9PuNtMk9GrPHCEZ9F02jHiZbR6coGUq/fnppvzNnwM8PfUjStGn6iINJkyztapes\nze6zuzGLWtI3o1AFszMAEWH9smVs++QTAm7dwrdkSTwmTKDsa20oV07DyQmOH9d7mh8ynTKx7fQ2\njl49Srn85TAajDaLX0mcKkSYwV28CJUr6+t/V6qUZDMRyNKhPfdP1GLZ5Cq0qW6wWogZhcrFjCco\nMJDFkyZR9exZRt2+zfCyZTno4kLbfv3o2LOnpV3/df0J+ieIY32OkT97fkBfrOKNN+Dvv/UP6D/8\nYKtX4ZhUwex0bvt2aNMGtm6l7hYf9i3z4B63WTnQyLvv2jo45Vmoa2P69tdfULMmODvrnUhFigAn\nT0KtWrB0KVKvHmN9fQksupTV7VdTsWBFW4esJEEVzFaeiWW6S2wsgzJlIurmTTRN46WXNNq21ZcQ\nHjcu/j4GdwODag9i6+mtXIq8ZJvAFUVJWpEi4O+vT59J5oKgaVAu4hN4fQYrD4ZYMUBFcVyWGmS5\nc+s1yK5cSbQGWasKrXi/wvuM3zXess3FBWbNgkyZ4McfYccOKwevKPasXj0YMwZatODnhkNwNgSQ\n5+R6+vYV7t61dXCKknFUrw7vvaff8LAMdC9dGubNg7ZtCZ4+nQtTplD+XAl2hqupaxmF6jzKIMLD\nwmg6dy7jX34Zz2HDCA8LA8DHR398xgy4fPlRe9MpE+N2jsM9tzvT/pqG0WRUxbMVxd707AnR0TB3\nbrLNahc1gHM0YZeSLvCrKErKWW7K3LzJoJdf1m/KXLiQoAaZwd3AsLeHEfhXIFfuXLFsf+01/for\nAt26QVSUtV+BotixLl0407AGWdt2wP10Nlpf2MNV149o8p36HKoo1tSvn/731KmPVgkNOnUKr9hY\ntg8YwISICEovPsqUloOTXf1XcRxq2lpGM2QIZM2qV0J74N139VVghg6Fb76J3/yPM3/QeklrLn2h\nRh/ZGzUcWAFg/35o1gw5dIix48YxOCAg3hdY0ykTAYtMbDi6Hcpswc/DD9C/1Kpi+KlD5WLGNCMg\ngFLlytG4dWs29OhB+KZN9DhxQh9S9ITev/cmR+YcjHlnjGXbvXt6TYnQUPjiCxg71prROy41bc0x\nBE2dyuIhQ3hVEwIi7vABL7OfzHzm348vRvZ8+gEUm1PXxvRPBKpWhX/+gQULoH37B+VQli5lW6dO\nBNy7x+fFirDG04mjM84mu4iLYjupmTeq8yij2b5d70Y+cMCyadcuqFNHr1X4339QsOCj5nHmOHJ9\nl4tDnx6idN7SNghYSYq6KCsW/fuz/tAhgv/8k6azZ9OkTZt4DwcHQ9Ou+3Hu2oT731xJ4iDK81K5\nqGA2Q/360LIlDByY4OGzt89SZWoVjvQ+QmHXwpbte/dC7dr6zzt3wptvWitgx6U6jxyDiLB+/ny2\n9ehBwP379Miei0V3Z1K7YRs2btRQ31Htn7o2Ooaff9YXWXvzTdi9W9+2ftkygjt3RouLIy5zZha2\nuM+/P58jX7Z8tg1WSZSqeaQ8v9q1ITxc//PYpqZN4fZt8PWN3zyTUyYMbgZW/rvSyoEqipISQYGB\neAUHs33rVstqil6VKsUbPlyxInCxGrFOkZyPOG+7YBXFUTk56YWMvv0Wjh1L8HCJXCX4uMrHjP4j\n/vKmb7wBn3+u9z316qX/rSjKg6mh2bMTnTUrvfK6kuPubbq5zGPP5kiWLLF1dIqScbRvD/nywZ49\n+h94rByKmxvNvviCMveLs/vsbtsGqliF6jzKaJydwdMT1qyJt/mHH/QinjNn6ndCH9erRi/VeaQo\ndqqDtze9v/4ac86ceuHe6OgEhXtLlIC8eZzgbE1mm7bYLlhFcWQvvQQjR0LXrhAXl+Bhn7o+zPl7\nDucjzser2+LvD8WK6auv/fabFeNVFDsXHhZG09mzmXrtNoe6lCN34X84yivs6jWXiFt6T6uIMMbH\nR41GUZQ0kj27PvIIYNIk/e9PfH1p8v77aH370uTQIRr3aseu8F22C1KxGtV5lBG1aKEXOXpMuXL6\n3U+A3r3jf+5tVKYR+y/sZ9W/q6wYpKIoKRFvNUUnJ6Ju3LBse9QGOnUCDrdlzlbVeaQoaaZ3b/0m\nzcNP2I8pmrMoXat1JWB7QLzOo2zZYNgw/Wc/PzX6SFEe+sTXlyZt2qBpGkOGTWKlryvDK/1K25tT\nuf5Kbdizh+Bff+XClClsWL7c1uEqisP67DN9gO2SJXD+8QHsnTrBxo3UdynHzrNqxbWMQHUeZURN\nmuhrA0dGxts8bBgULw779umj7x/K5pKNBqUbMPvAbCsHqihKSoSHhdF0zhzGd+iAZ6tWltUUH9e3\nL3CyAf+ZN3PpkrpDqyhp4rHpa/LvvwlGRAx5awgL/lkQb+U1gO7doWRJOHQIli61dtCKYv8av9QY\nl0wuVB17lbraTrpfrEDzt+qyvVu3JKdsK4qSOkqVglatIDYW4qVYrlzQvj211/6PP8/9Saw51mYx\nKtahOo8yoty59UILGzfG2+zqCuPH6z/7+uo1kB5qWb4lBy8dVMOCFcUOWe7O9u5Nkz/+oMeQIQna\nvPQStKhTHrRYvp123AZRKkoG8WD6WvC778YbEWE6ZWLqvql4uHkwZd8UuvzWBaNJX3o8SxYYPlzf\n3WhMdNabomRomqbhU9eHZRe+49PeTmxmNtdLzyQO9CnbkZEJpmwripJ6+vXT/542TV8t1KJ3b7LN\nCaJ09uIcunzIJrEp1qM6jzKqFi2QVasS3BX98EOoWxeuXdPrIJlOmTCajIRdD+PkzZO8M/8djCYj\nE3dPtGHwiqIk6o03IE8efXm1RAwcoMHJBszZuoWYGCvHpigZRFBgIF7TprE9PDzeiIizwf9iNBhZ\n0XYFnap0Yt1/63DP447B3QBA6fom3N3h6FFYvNimL0FR7FKbCm24GHmRZr12ULiwxv/+y07kfRhU\npAhRFy+i3bmjlgpXlDRSrx5UrQqXLxO/aH3FilCxIp+dKczOcDV1zdGpzqOMqkULgpcvTzBPXNPg\n66/1n8ePh2p5DBgNRkY1GMXAWgMJvRJKrRK1uBl900aBK4qSJE3Ta65MmZLowwYDlLjfkNv5N6vV\nahQljXTw9qa30Yg5Tx59RMStWwlGRJTOW5qtXbby9bavGbZ5GGYx88c5EyNG6I/7++vTAxRFeSST\nUyaGvDWEnw4GMG4cZCWM5S6zGX74PJ7NmhH+1VeoOyOKkjY07dHoox9+gHiTUXr3puXms+w6q4pm\nOzrVeZQBBQUG4tWiBdujoxOdJ24wQP36cOsWfP/9o/1yZcnFkg+W0GlFJ+7H3bdN8IqiJK9tW9i1\nC06dSvCQpkG/Fg2g9Ba+n2hGzUK1b0ajEZPJZOswlGdkKWIfGckgNzeiLl9Gu3Il3ogIg7uBVwq8\nwu7uuzGdNtF2WVtizbF06qTPegsLg6AgG76IdMhkMmE0GtPk2CoX7Uenqp04cOEAlRv9j8oevlyI\naMPw4RpNVq6kR8WKemVfdXGzqbTMRVD5aEvt2kH+/PDXX7B792MPvPsu+a7c4eauEJvFpiSUFrmo\niY2L2GiapuroWJmIsH7ZMrZ5exNw8ya+JUviMWGCZUUL0Otp16sHOXPCyZP6fxQTd0/kZvRNZh2Y\nRfjtcPw8/AD9Q/DDYfeK9aRF7qh8dBCDBiGZMzMWGBwQEO9La3Q05PAti3nRr2xfVoW6dW0XpqNQ\nuag8aUZAAKXKlaNx69Zs6NqV8A0b6HH8uL602mNMp0xsOrGJJYeXEHY9DD8PPw4ehN8mGiitGfj3\nX3BxsdGLSKdSO3dULtqfMX+M4eClgwwtv4Bq1fQaYbt2wZuVIvUPr+3aQSK1/xTrUtdGxzR0KAQE\n6PcqFy16tN38zTfMX+HPcY+e+I+bpKaQ2pHUzBvVeZRBrV+2jOBu3dDu3MGcPTuec+bQpE2beG2a\nNIENG/Ti2d9++2i7X4gfm05s4o/uf1g5auVx6qKsJCksjPU1ahAsQtPZsxPkdnW/Xuzfl4kG0ZPZ\ntEkfkaQ8P5WLSrJEoGNHfSW2efMSTbhTN09RYXIFTvU/Rf6shXn1Vfj3X3jvPX2XXLlsEHc6pTqP\nHN/te7cp80MZ9n6yl8DvyjBmDLzyCuzfD9munYVatWDSJGjd2tahZmjq2uiYwsOhdGn9UnbqlL5S\nNwCXL7O8ZFE2ZXLmvfkLE3z2VGwnNfNGTVvLoMLDwmg6ezbje/fGs1GjRJf29vfX/546FSIjH21v\nWKYhJ2+etFKkiqI8i6DAQLxatmR7bGySyxf3btYAp7Ib2bJF7yBWFCUNaRrMmAH//AOTJiEiCRar\ncM/jTtXCVfl629c4O8PPP+u171eu1L8HJ3KJVpQMK1eWXPSs3pNxO8dhNOodR0ePotcMK1FCT5ye\nPeHPPxPNN0VRnl/Jknq/bGys3kcLDz571q/PTmdnJkfFJPrZU3EMauRRRvfff1C7Npw+DdmzJ3j4\nrbdg506YPFmfRg4QExdDnu/ycHbQWfJly2flgJWH1B0dJTGWaamffUbA1auJTku9cucKRceVIM7/\nLlWrZGL/fn1QhPJ8VC4qKXLyJNSqxfrPPiN4/PgEowJXHl1J91Xd2dNjDy/le4mwMGjZEkJD9Y6k\nRYugaVMbxp9OqJFHGcOlyEtUmFyBI72PcDq0MLVr64P8tm3TVw3mt9+gd2/WDx9O8JdfJjoKV0lb\n6trouHbu1L8jOjnB6tXg6al/9tz4qTcTriVeEkWxHTXySEk9L78MtWsjQUGJ3pkZMED/+4cfwGzW\nf86cKTNvu73N1lNbrRysoihPYynWe+8eg5yciLpxw7LNdMqE0WRk8p+TiSOGHB/052BeIyNmmmwd\ntqI4vKANG/DKmpXtX3+d6KjA9155j/5v9mdEiL7kWtmyekHS996DmzeheXN9QIWiKFDYtTDtXm3H\nD3t+4G4hEz4+eudRly5w5w4EXbqEV1wc2wcMSHIUrqIoz6dOHX2kn9kMH30EMzdvZUnoUqKi7tJX\ng5tXLrAkdAlbT6vvio5GdR4p0L8/wV9/zYUpU9iwfHm8h1q10ocnHjsGwcGPtjcs3ZDNJzdjOmWy\nbqyKojyVZVrqe+/h2bmzZVqqwd2A0WDEaDBSoUAFOrxdB0xGFnxj4N49GwetKA6ug7c3vceNw5wn\nDxpgvnCBPj4+dPD2tkytGVBrACGnQjhw4QCgL1qxfDkMHqx/SB88WJ8qoCgKfFHnC6b/NZ31/61n\n5EioXBmOHwcfnwf5NmkSZmdnPd+io+nj708Hb29bh60oDsHfX69NHxkJ/l0NvBr9Gi3nLcRQrxAl\n65anTubX1YJKDkh1HmVwQYGBePXrx/bLlxO9M+PsDH366G0nTny0X8MyqvNIUezVJ76++lDhVq1o\ncvYsPXx8ErQp6lqU7C/9RaVK+qzVn3+2QaCKkoFYRgXGxDCoXDmioqPRBg5EW7mS4F9/5cKUKexc\ns4Hh9Ybjs9nHcn11coJvvtEHCoeFwfz5tn0dimIvSuctTdOXm7Lv/D6yZNGLyzs7w08/QUiIhubk\nRHSmTAzKkoWoK1csOagoyovTNJg1S5++dvYsLNzgS92mbbjYoCYNjh+j8+DPbR2ikgZU51EG18Hb\nm95GI2ZX1yTvzPTooZdD2rBBL0gIUK1INS7fuczte7dtE7iiKE/n5QVbtsDduwkeavJyE/6+tJ+h\nQ/V/L1li5dgUJQOyjAo8ehTPxYtZXqECXh99xPYuXSw3cNZ2mczR1fuZfWC2ZT8XF/Dz03/294eY\nGBu9AEWxEw+nYefMnJPNJzczfMtwfrtppONwEwDdukHYPw/ybf9+PJ2dCd+2zbZBK4qDyZoVVqyA\nMmX01Q47dICKH/Tj1YtmNu1dbOvwlDSgOo8yOMud0Pv3GZQ5M1FXrya4M5MvH7Rvr/88Z45+wf5q\n61cUyl6I73d/j9FkxGgyqlFIimJv8uaFN96IP+f0ga7VunLgwgGaeppxdoY//oDr120Qo6JkIJZR\ngZrG/9m787Co6u+B4+877G4IAm6guKCC+565jWm5V4p9y6Vfm1IuWWqZmOWopaVpuUuuKZiWW2kq\najpquWuuueCCIqKIgILszPz+uM4oakk6MIOc1/Pw3OHOzO3Mk4d753M/n3PaBwYyZ8cOBi5ciEGj\nUW/gpKby/tixfDVqGusj1nPmxhnze8s20+Pvr84UXLDAep9BCFtgWoY9u8tsKrtVxs/dD51Wx/cj\ntTRsqObJsZg7+RYQQPs5c+i7YQPckpueQliSpyf89tvdDqG/LXiBuGb1OLl4irVDE3lABo/E3Tuh\ny5fT0dOTqNOnH3jNW2+p2yVLoKWPesIe0HgA9cvUN9dQkXWtQtigl19Wu87cx7OoJyWcSpBgvEDL\nlpCd/dAxJiFEHlIUBcXRkTRgaMmSpKZOI/IAACAASURBVMRc4edjyzgVd4q41DjqzalHu8Xt+P38\n7+yM0jN2rPq+ceMgNdWqoQthM5p5N2PKnikYjUYcHOCHH8DREebOhY0b77yod29o0waCgtTK2kII\ni6lRQ63PZ28PkydDQr0gqv5xguhb0dYOTViYTQwe6XQ69Hq9tcMotMx3Ql96ifY+PrxTrtwDndea\nNVM7v1y5Aps3q/vaVGpDZGKkdYIuxPR6PTqdLs+OL/n4lHnpJVi3DjIzH3iqQdkGHIo5RNeu6u/r\n1uVzbAVcXueiKBzMN3BiY+lUrz7N1p5H13o0XU4353j/4yiKwvAtw7mafJXu3aFePfVcLE2jhFC9\nU/8dsgxZbL2wFYCaNTEPtPbtq3YrBNTinadOwezZ5iL10vZdCMto00btwAYw5UQ32l1QWLJ3rnWD\nEhanGK38V1NRFPnDbUt27WLjiy8SnpFBh4ULaR8YaH5q/Hj49FO1JeOyZWA0GnH72o1j/Y/h4+pj\nxaALp7zIHcnHp1TjxvDVV9C2bY7dY7ePJTUzlbcrTqBaNXWVW2yseudI5J7korCYlBRo25aNZcrw\n66b1VPnmU27VyObw1cP8euZXBjQaQPxlT5Z9pcUrRcvZs2pHNnGXpXNHcrFgmHdoHmtOrWFdL/Uu\nSHY2tGgBe/ZAcLB6DQuoVeeffZaNH39M+BdfPHCtKyxHzo2Fz7Vrapfu7GyIrVOfYU1jWDD7ChrF\nJuarFFqWzBv5PynMQkNC6NKvHzvT0h7aee3119XK+mvWQEKC+g/x+SrPsy1ym5UjF0L8q27dHrp0\nrWHZhhyMOYifH1Srpub1rl1WiE8IAUDokiV0iY9n52+/MTMlg/hvQzk4aAWv3OpEp6qd+OvqXyzp\n+xlNS2uJjVVX4mRnWztqIayvd+3e7L+yn1NxamcXO7u7syD++OPu60K3bqWLszM7P/30ode6QojH\nV7o0dO8OBgPsL9WTTiez2HZBvic+TWTwSJiZO6+5uqqFO+PiGKjTEX3hAkajER8faNcO0tPVwtkA\nbXzboI/US7FsIWzZyy9jXL36gSn6pmVrRqORLl3UfbJ0TQjr6R0UxMAvvsDg4aGeh5OTzR1QG5Vr\nhIOdAzP3z2DxYrWZxdq18NFH1o5aCOtzcXDhvYbv8d2e78z7GjVSt4cO3R1k7R0UxMApUzC4uJiL\n1N/fZVgI8fj691e3Xx59iY4ns5h/aJ58T3yKyOCRMDN3XktKYmjVqqQmJnJ40SKuzprFplWrABg4\nUH3t6NEQFaUOHm2L3CZ/FISwZf7+hBsMxMyYYc5lgLLFy+Jg50DUrSipeySEDTCfh5OTGerhQer1\n6+Z9bSq1YV7XeYzbMQ57z/N8Nl+Pg4NaxmXWLGtHLoT1DWg8gOUnlhOXEgeAlxdUqAC3b4OpF4w5\nx1CL1KfGxKCkp+foMiyEeHytWoG/P/xxvToGew+it69jfcR6a4clLEQGj0QOpsKd9T/6iMNeXlze\nsCHHtN5bV0N4+WVISlIbVlQvVYPUzFQS0xIffXAhRL4LDQmhS61a6nLU27cfmKJvmn3UvDm4usLJ\nk3DunJWDFqIQMxfQPn+ejsWKEXWngYHWV4tfKT8+af4J/db2I8F1G/Pmqe95/30YMACGDlV/li+3\nXvxCWEvpYqXpXqM7IQfuLkFr2FDdHjx493XmHIuLo2PLlkR9/rm0LxTCQhQF3ntPfbzRoRuDY305\nFHPIukEJi5GC2eKhjEYjG1esYMegQUyIjWVE6dIkNmvGrJUruXpVoWHlYK6Wac9LH27nlP0yTt84\nzejWowH1Alfrq7XuBygEpBChyA1zLn/4IROuXCG4bFlaT5umdlhUFD7b+hmKovBcpeeY/YmWn35S\nZzGYph2LR5NcFHlm9my1/7GpzSmQZcii2fxmlClahrW91vLZZ/DFFw++9fff4bnn8jFWGyEFswu3\n47HHeWHJC1z44AJO9k7mZi+DB8PUqQ95Q3Y2vPEGXL+Occ0aJo0Zw8cTJshMJAuQc2PhlZgIpZvq\naVLkB36IX0tDnxv836eDcXNxk++JViAFs0WeM0/rTU1laNmyXLh2DYeNG9m8ejVHd60kUJmFy8Ub\n7B+Zxit+/0fNPWUZ3Xo0Oq1O/iAIYUNyLEe9bxkMQMNyDTkUcwh9pB6tVn3Pzp3Wi1cIcY++feHS\nJdi0CQB9pJ4vdnxBo7KNWBexjsEbBqN5Tse4JXomT4bJk9XmFgBvvQU3b1oxdiGsoJZXLWp51WLZ\n8WXA3bpHBw78wxvs7NRCnq6uhLdoQcw9pRqEEI+nZEno00LL7sNzORKTzqsH7Di4YTujW4+W74kF\nnAweiX8UFRGBc8+enHFzo2zRojRJS+OzHj348ZVXmJ6WhNbhfTqmTmJNv5U8s+2qnGyFsFHmKfoX\nLtCxeHGitm41P9egbAMOxqjz+Vu1Uvft2AFyY08IG+DgAOPHYxw+nImffELriq3RaXXM7jKbDlU6\nsPvybj5tNZJRfbTmJWvz56tfmC9dgiFDrP0BhMh/Q5sN5ds932I0Gs3L1g4fhqysh78+dP58uhw/\nzs7Tp9VSDSNGSAc2IZ5QpdIh+FCXrZkKs9Ozqbj8JK2q+kheFXCybE38K/OSl2HDGB8VxeuurtxM\nS8OYnk4m4AB4Ycd8snnfy4tIDw9eGzyYPu++a+3Qn3oyHVg8lgULMM6fz6SWLWn8bnv0kXq+2fUN\nKVkpfN5qNJMmQepJLee3aqlUydrBFgySiyJPGY1srFaN8MuX6RAaSvvAQABGbxvNX1f/onqp6kx6\nYZI6e/DOHd2TJ6F+fbU76q+/Yi6IXxjIsjVhNBqpNbsW0ztO57lKz1GpEkRGwrFjUKvWw19vutad\nEBVFsIMDradPp31QkCxfewJybizcjEYjdauuoMH5wSziKsNKe7DshUz+mnWGv+P+lhlI+UiWrYl8\nY17ykpjIsIAAMtPTqagoFC1TBl9gIOBINgrgZK9Iu1MhbN0bbxAeHU3MtGlkHIpnTJsxvFD1BQL9\nAxnTRkd7Jx1Eatmxw9qBCiFyFLxPS2PHhx/SpWZNlsyZw42fIpj/4nyWnVhG+NnwHF1P/f1hwgT1\ncb9+snxNFC6KovBh0w+ZsnsK8Oila/de6w4NCCBVo0EZORLlwAGMRiMTR4yQAQsh/iNFUWj/goId\nt3nTzoOsuARaVWjB0E1DpUt3ASaDR+KRzEtejh+nQvfuuHTvzpvTpuHo4sL0oiUA6GlnT2piIieu\n/y13aYSwUaEhIXSpU4edWVlMSU01T80vcdCOSzcvATmXrgkhrKt3UBADdToMioICGGJiGFS0KB7p\n6TiErePQxh0sfnkxb/3yFskZyTne+8EH0Lw5XLsGOp1VwhfCavrU6cP+K/s5FXcKt/p6IGfHtfvd\ne63bMSyMqM6doVMnwocNkzpIQjwm37IRbCi+kKXZUTR1Kkurs0XYFbWLs/FnrR2aeEyybE08lrkT\nJlChWjUiT59h/tjjdM38la39G1E6w45l32+xdniFgkwHFv/VA1PzS5Sg9fz5lGzqTZ/VfTg7+CwH\nD6p3aatWhYgIa0dcMEguiry0ccUKwt9+G8XHh4hz50hydqZ5UhJfGAwMreTNLkM6Ka2KcbzKhQe6\nnh4+rLYqVxQ4cgRq1rTyh8kHsmxNmIzeNprY27Hcji3Nknd0PPMM7N6du/eGhoSwbOJE6l66xBdZ\nWYzy8+OIg4OUZvgP5NwoAPbsgbZtoXaJWaxL+oQBk5qwOWwrg8d9jqIo0n0tH1gyb+wtchRR6PQL\nDjY/3vV3Nu8t9WS1UxSte/SxYlRCiH+TY2q+nx+GiAiUy5dp0O1FriZf5WbaTerWdaVYMTh7FmJi\noGxZa0ctROFmmhHxQvfuhK9cyeZVqzDs2IESHY1zahZjps+iRdcOeH/rTcsKLWlbua35vfXqwbvv\nwuzZaqvyLVvUgSQhCoMBjQdQY2YNevu/A9wtmm2fi28/vYOCKOXuzo4PP0S5cgVDUhKDpk831xwT\nQuTOM8/AypXQtesAQrPO0HziNkrEKDwbX0fyqQCSZWviiZVtsZONXt40PnWeqaPGMHrbaHR6naxn\nFcIGmafmnz5Nx3feIeq773DAjip/urMrahf29upSF4CdO60bqxBCvVnTPjAQRVHo0KMHz3fvTtqt\nWwwtXZrUuDgURaGYUzE6Vu3IgPUDSM9Kz3H+HTcO3N1h61b1Al6IwkAfqWf2gdlUL1WdmX9NpmQ3\nHWnP6Phhuz5X7zffbElKYmjZsqTGxqIYDFKaQYjH0KED9H8jhOmEcznyb+amG9keHGyu4Sd1xQoO\nWbYmntilSzCi4lJqeAQRnZyG0qErs1etkhNsHpPpwOKJZWdD8+ZsrF+fXxYv4PZHXaiV7kdm8QmM\nGqUwcCDMmGHtIG2f5KLIT6Zl4y907Mgmb2+ievem7/Tp6CP1TN07lQZlGpBtzEan1ZnfExIC770H\nvr5w+jQ4Olot/Dwny9bEveJS4qjwbQW0p46wIdSP+fPh7bdz915zrnXrxqa6dYny8aHv+vV5G/BT\nRM6N4l5Go5EP3llB0sL3Wcg1PnZ2oe3MGRiLF2fTO+/QYeFCmYmURyyZNzJ4JJ5YaEgI49//lhcz\nT9Ma+FVR+Lt8efqNGiXrwvOQnJTFkzLXdIiM5AuDgc6uDvgkZZPRuS+L1oZQsyYcP27tKG2f5KKw\nmlmzYO1a2LABgEs3L9EgpAG9avdiWsdp5pdlZ0Pt2nDypDqQ9DQ3RZXBI3G/tj+05XqUO8c++5n+\n/dW0+c/On4cmTdSiSX5+Fo/xaSTnRnG/jStW8Evvt4l0yYSb6aRqFJp7evLFtWtSVywPWTJvZNma\neGK9g4IoWbkVm1D4A5hlNFI/O5tl06YRGhJi7fCEEP+gd1AQA7/6ipNFitAVKH8zkzkGA2VObqMS\nAVw70YGLF+UiTQib1bcvnDyJcedOBvXvxfxD82lUrhHT901n1NZR5iXkdnZ3O6598QWkp1s1aiHy\n1cfNP+aq3R7w3sOBA495kMqVYdQo6NcPY3Z2jmU2RqPR/Pu9j+9/TojCLioigs6LF7I/sCfbK72D\nUuoFsq9fV7uJpqUxaMwYej/NdzeeAjJ4JJ6Yoii89L/nKY8jsYACkJEhfwCEsHGmmg4VgKLly6Ph\nTv7GXcerSkdeZBfffSntiYWwWY6OMHo04e+9h0PYOp6Nr8OG3hvw9/AnJinG3H0NoEcPqFULoqJg\n/nwrxixEPutQtQOftxoDzw/nyFEjGRmPeaD334f0dML79ydm1iw2rVLPj+ErV5p/v/fx/c8JUdj1\nCw6my6uBBHULILtOEfZdf4fbGgeGFi9OamKi+bpU2C4ZPBIW4eZylrMeAzE4Ql9FISMpSf4ACFEA\nREVE0HHRIt789ltwtKO5o8LmxEQaR85gHknEh6kFDWUWoRC2JzQkhC6TJrEzIoIpSUnsCA6ma61a\n+J+tyN7ovYQcDDEXz9ZoYMwY9X3jx8PFixAdffcnMdF6n0OIvNa/2Rs4usaTUXEdJ0483jFC582j\ny/Xr7Jw3jylJScx95RXqKAq/vfoqDZKS+KxHD3585ZUHnjPlZueAAP6vQ4eHzlASojBpXs0f/5an\ncCaCnw1z+Ro7Ok6aRFREhLVDE4+Qi2aVQjxaUHAwR45MYNHlhsy8bKB0q9ryB0CIAqBfcDCgFgb1\n+up9rtv9xlsXOhM9axZKNmSnpNE3eDwv9ZYihkLYGnM78YEDUa5fx5CayqDx43FqWArvEt40X9Cc\nF6u/aH79yy9D3bpw5IhaPPteigLh4fD88/n7GYTID3YaO55J/podz3/M3v0dqV//v38FMufbkCEo\n0dFULVOGBp06cWv9evrExBDu5oYboCQk3H1u7VqU2FgMV6/S4p13uDZ/PptWrcJoNKozkho3liLB\notDx9/QnXnOS1waEM2sWbC5zgE6RkTBhgrVDE48gM4+ExXy3JBgH9278VC2VxgfOEZ+YKHdUhCgA\n9JF6opulk+wPEQkRnHG9jMEeBmocKEIsC2aEWTtEIcRDmNuJp6Ux1NWV1GvXzPvCjoXRqFwj5v81\nH51eh06vY8clPVOnQpUqUK7c3R93dzAa4bvvrP2JhMg7Xat3gtte/Hhy0WO935xvt24xNCCAtORk\nlJIlSU9OZlhAAJmpqWSnpeV8LjWVF0uXZnNSEtdmzqRhUhKfvfoqP772mnlGkszuFYVNRdeKxKXE\n8e77yQCMuvo+xnnzICXFypGJR5HBI2ExDg7wyrNN2Fr9NjtP/0XMzJmyxluIAkDrq0Wn1TGl/RSK\nOhTF31iZlxYvpd57eymNQtn96yWXLejChQv07duXV155xdqhiKdAVEQEHRYuZPK5c3QsWpRLmzez\nb85GRrcezYxOMyjqUJTRrUej0+rQ+mpp3RrOns25ZO30afUcvnEjXL5s7U+UfyQXC5fGjRXYPJHd\nTjpuZ9w2L+n8L8z5dvw4HRcu5Pzx4+bfK3TvjnO3bg88t+bKFQKHDiXbzo4+QDV7e9wURYoE30fy\nsfCw09hRrVQ1Mkqcolo1+CupKgnVnsEYGirLOW2cDB4Ji9BH6tHpdVy9NJmyy6PYRiZTkpPZ8NEH\nNPbwYMmcOdYOUQjxCIqiUK54Oaq82oTrcXEs39iH6xRhjiGD7XJ31GIqVarEvHnzrB2GeEr0Cw6m\nfWAgSqlStJ87F5+1a80Feiu7VcZeY8/f1//+12N4eKhL2gwGWLQof+K2BZKLhUv9+qBcaULWheZ8\n8+d3jzV4ZM43RaF9YCBzN240/z4pLIxJYWEPPKfRaKjfrBn2Dg7qDCVFIdvOjqEaDakJCVIj9A7J\nx8KlhkcNTl4/SadO6u9rKgwmfNw4KTBv42TwSFiEaebCrzM3kNCqGDeNrihA3I1bPJOSgqeHh7VD\nFELkQnOf5uyL3kfvoCCGTtCRrnFGAdKT5O7o/d5++21Kly79wP6NGzdSo0YN/Pz8+Prrr60QmSiM\nQkNC6DJ6NDtv3sxRoLf8Uge2nN/yyPf37atuFyxQB5EKElMu1q5dO8d+yUVxrxIloFo1MG75km93\nf8vtjNv59t++d8ZShe7dcQ4MZPKAAXRo1Yofpk9/qmZayLlR5Ia/hz8n407SsSO4EMKk1R+yMzb2\ngQLzBoNBZiPZEBk8EhalKAoeRUtxxZhAXRxwSUpiWmoqO0eOlFkLQhQAr9Z6lf1X9qMoChqNgpMm\niUHYk5YQL3dH7/PWW2+xcePGHPuys7MZNGgQGzdu5O+//+bHH3/k5MmTLFmyhCFDhnDlyhUrRSue\ndr2Dghio02Fwc1OXw0RF0aJdO9qcT2bN8kfXLWvXDipWhAsX1NpH69ZBXFzex20Jkosit3xa6qFO\nKCWMFfhm9zfmemCPMwvpv7h3xpJ5htKoUbB9O6UPHHiqZlpIPorc8Pf051TcKVq1AlyCuJSuI7Nk\nKfX8df06LTp2xH3XLr4ePlxmI9kQGTwSFldL48Ph1s05SyhFFI2s6RaiAGlUrhEHYw5iMBqIiogg\ns/tCmtOdUjXfkg6K92nZsiVubm459u3bt4+qVavi6+uLg4MDr732Gr/88guvv/463377LeXKlSM+\nPp733nuPw4cPy91XYTHmYr43b/JimTJsTkvj2pw5TL+dhlfoATrXDPjXGzgaDbz1lvp42DDo2hW6\ndcun4J+Q5KLIrc41taDXUf/KLNyd3XPUA8tPoSEhdHnuOXY6OTHl9u2nqnC25KPIDdPMI2dnaNdO\nARRu30rmRU9PNicmsmvGDM4mJRE5dSpTkpJYN2DAU5MjBdl/71MpxCOM+2oWz4X0gBMnMdzQMLRc\nGQyJiTJrQYgCwKOIB6VcSnHmxhn6BQdT8mf446fLdLxxkg4jRlg7PJsXHR2Nj4+P+Xdvb2/27t2b\n4zXu7u7MyUUdOJ1OZ36s1WrRarWWClM8pUxLY57v1o2vP/6YKzNmoAAu2Xa0GPz6I2/gDB4M589D\nfDxs2QJ//AFRUXDPP2mbo9fr0ev1JCYmEhsba94vuSgepmFDdXtpd1OUigq7onbRvELzfI+jd1AQ\npdzd2TFkiHqTNT6egbNnc/TgQfPynEnBwXw8YUKBuXY25SJAYmJijuckH8X9qpWqxoWEC2RmZ9Kp\nkwN/ro3gVJ2FbN7dja8HDiR67lw6A79mZaEARTUaBup05hwpKHlhDffmoqXJ4JGwuADPANLsY3Au\n+TvxcT2Z/lxJNrVuTcSxCNoHWjs6IcSjNCnfhH3R+6jhUYOAAJhEM96LWWDtsAoES17M3HuBLERu\n9AsONj+u36wZsXPmMFRRcE4zcCz2+CP/fbq5wQ8/qI8DA2HVKlizBt5/Py+jfjKmL4+RkZH8/vvv\n5gEkyUXxMPXrg6LA8WMK//d5IAsPL7TK4JF5puCtWwytXBnD+fMcXraM2M2b2dS4MUajUV2q07gx\n7QMLxsXzvQM5kZGRTJ061fyc5KO4n5O9Ez6uPpyNP0vHjv70J5j9JyErC+q3bUtsWBiLXF1xv3yZ\nIDc3ily7xmG9ntglSwpUXljD/YOqY8aMsdixZdmasDg7jR1NvBvj2N6Ha/wfx0KP0LNfIB+MG8Gm\nTdaOTgjxKI3LNWZ/9H4A/PzgmKYePhnnSIu9ZeXIbF/58uWJiooy/x4VFYW3t7cVIxKFVVREBB3m\nz2eynR0+YwZx5Nje/1TXxbRkbfXqvIkvr0kuiocpVgz8/dUvqIHuOlaeXJmvhbPvZZopWH/4cA57\nenJ59WoaJCXx2auv8mPPnubCwU/DUh3JR/EwpqVrFStCQAAkJcGuXXdzo+2AAVT86COUVq04XKwY\nl7///qnKi4JIBo+ERekj9ej0OjDCVc+lnO+0ibr2u/Aq1RODwVioWgALUVA1Lt+Y/Vf2o4/U4+gI\nFf0cOUQ9xv5fkHS7eIRGjRoRERFBZGQkGRkZLF++nBdffNHaYYlCqF9wMO1few2lfn0+qKXl7/rX\nctV1zaRzZ7C3hx07Ck7h7HtJLop/Ylq6Fnm8LM/6PMvKkyutEoepiHafoCA+mTmTEp6e9AGq2dnh\nZjCgANmpqXhXq0avfv2sEqOlSD6Kh6nhUYOT108C0KmTum/UKDhxLZgNOwP5+1owVzMn4dt0NR+F\nzKOEg8NTlRcFkQweCYvS+mrRaXWs+N8KnO2d2Ro2gN+LOPBa6lqKsIoNGyAz09pRCiH+TYOyDTgW\ne4zfz/8OqHdpl1KK5N/XSLeLe/Ts2ZNnn30WAB8fHxYuXIi9vT0zZsygffv2BAQE8Oqrr+Lv72/l\nSEWh1rw5xfYfpqZnTS7dvJTrt7m5QZs2kJ0Na9fmYXwWYMrFM2fOAEguin/VqJG6PXgQ3qr3FgsP\nL7RqPOYlbKmpDAsIIFOjIdvRkaF2dlyIjcUhPJzNBWgKoJwbRW75e/hz6sYp9JF6TGOJf/4JU6fm\n/Bk5UuHP3RrS7OwY6uDAhWvXClxePC0Uo5VvIyuKIneyn1J136iK/bZ4nruezMS0THo7+LE704E+\nQwYzbsq71g6vwMuL3JF8FCa1Z9emmXczWl1pyLRR0wiIS2AhMYzy8+OIgwOvDR5Mn3clj0FyUdi2\nY3O/xOX7hQQNqsC2yG2Mbj0aUG/2PKrD1OzZMGAAlCoF5cs//DXe3rB8ubocyBZYOnckF58+u3ZB\n8+bqsuyjJ9Lx+c6bfX33UcmtktVimjthAhWqVeOF7t0Z3qcPERERZMXGUvXSJb41GgvkuVfOjeJR\n9lzew6D1g+hSrQs6rY6VK9UmDfc6cgQWLYKmVSbQpm0kxzZvpmpkZIHNC2uwZN7YRMFsnU4n1fKf\nMvpIPTW6NGRj2gqa/GIA4LJykWulgvlNH4TnNLWri/jv8rKCPkg+Fnb6SD36SD0OGgfmHppL2VZl\nKdolgOwlepRsMKSlMWj8eClUiOSiKBhqd3sXPprI3E7rqTO3PqNajcJek7vLv27dYPhwuHFD/XmY\no0fht9/g1VctGPRjyMt8lFx8ujRpAh4eEBEBJ4870bNWT3448gM6rc5qMd1b7H5SWBhGo5GNK1aw\no18/lJs31WU6NWsWiGU6cm4UueXv4c+puFN09usMqI0a7peQAD/+CPvOB/PTViMn2q1gR1AQSmJi\ngcoLa8iLXJSZRyJP+ff1ofXSaySkZ+NmMPAzHxHPJADOnFHv+ojHI3d0RF5aH7Ged9e9S9SQKGZN\nXMHBT97GScnE0UVDx8WLZfDoHpKLwubVqAHLl1N+SycWvbyI56s8n+u3xsVBdPTDn1u4UF1SMHiw\nurUFMvNI5MaAAerMuuHD4bUP/6Lb8m6c/+A8GsV2KnpsXLGC8LffRsnOJjo9HS9HR7osWVJgzr9y\nbhT/xnSzcvq+6cSnxv/rrNj//Q9+/hnGj4f6fnfyIiuL6MxMvBwcClReWIMl88Z2/kKKp5LzUQN/\nuNhRpVw5ZgOBxeZT1a4UHnRgyxb54y+ErWpXuR1xKXFcunkJY2oEy1hIST6nfYuWREVEWDs8IcR/\n0bw5/PknL9d4mR+P//if3urhAXXrPvzHVKNi1648iFmIPNSzp7pdtgzqlq6Hq7Prf+pGmB+iIiJw\n7tmTM+XLU9ZgYFpqqnSZEk8NU53chS8tpJRLKYJbBKPT6h66nPrNN9XtokVwyZQX5cpRNjtb8iKf\nycwjkafGbR/HH7+G0+DnS0yIiqKPkxMpmQbcDPZcbLqELXtklPhxyR0dkdc6h3WmTaU2fPTsR1Sq\nBI6Rpznu9RwOMVGgkXsPJpKLwuYtWAC//0707InUnl2bmGExONk7PfFhk5PB1RUUBW7ehKJFLRDr\nE5KZRyI3DAaoUEGdVbdrF+xVvuNgzEGWdFti7dByMC9f69+fCTduEOzjQ+spU2gfGIiiKNYO71/J\nuVHkVrXp1Xir3lsEtwx+6PNZWeDjA1evwu7d0LTp3WWdE27eLFB5YQ0y80gUGLVL1yY1K5XjsbH4\n29nxd3o6NQyZzCMVr729aFG2M8XlnwAAIABJREFUnIwSC2GjhjQbwvITy9FH6vH3hzNUJ8W+OBPf\nfFMu3oQoSJo3x/jHH4SNn05tr9psiNjAoP69njiPixVTZyBlZ8OBAxaKVYh8oNHcrdP144/Qu3Zv\n1p5ey29nfrNuYPcxd2LLyGBosWKkXL3KmrAwa4clhEWN0Y5h8u7JXEy8+NAZgPb20Lu3+njx4nvy\nwmBgqKMjKdevS17kExk8Enmqllctrpw7z8DQUL4JC6Nq0aIYAQXQUJzXPpxK76Aga4cphHgIra+W\nSzcvserkKho2VPdNtw8gZvlyNq1aZd3ghBC5V60a4fHxxMycScPr1Zk9fxKGxSstksd3OnLL0jVR\n4JiWrv30E7g7e/JcpecIOWh7NzSjIiLosHAhk48do4xGg9369XIOFk+VnrV78uEzH/Jh+If/uHy0\nVy91+8sv6sxBc16sWkUZZ2fsNmyQvMgHMngk8lSlkpWIeTaD7Dou2NnZoWRnk6go9AQcSeFylEam\nFwpho+w19gT6B3Ii9gRuTiH4UpPTlw4wJSND1pcLUUCEhoTQpVYtdhqNNEhOZucncyk9eRczUyyT\nx6bBo+XLYeJE9WfzZgsFL0QeatgQqlSBa9dg+3Z4s96bHL121NphPaBfcDDX4+Lo2rkzySVKMEPO\nweIp9PGzH3Mi9gTn4s899Pn69cHbG65cgUOH7smL4cNJzshgRnq65EU+yF2vViEek53GDn8Pf1af\nWk3TiCpU6N6dtt26kdbzTYZktafpaSm8K4QtMnXBSM1MZWvkVpq3bI6iDcCwcwdKNhiSkxk0bZp0\nt8hD0o5YWELvoCBKubuzY+hQ+ty+zZpizrikp6FkQnzCVW5VL0e55x+/9Wnz5ur2yBH1B9QlBtev\nQ8mSFvgAuZSX7cElF59OigKvvQZfhun5+Dc97TtlcPHmRT79/VMc7Bwe2vXJWsx5PGwYCpAdH493\ny5Y22aI8L3MRJB+fRqZrztpetQk9Fkplt8ooipIjBxUFunZVuyT++is0anRPXrz3HkpKCoa0NAaN\nHy/XpnfkRS5KwWyR595c8ybxqfH82vNX876o6s/x8hlP6r+zjHnzZObR45BChCI/GI1GPCZ6sK7X\nOsKnRRP1zdsoGg1FHdLpFBYqJ2gkF4XtM7f89vEh+vx5ShoyscPIDYPGIm2Of/wR/vpLfbxgAdy4\nAX//Df7+FvoA/4EUzBb/xYkTUKsWuLmpxXirzPDhh24/8Fyl56wd2gPMeezmRvSlS3g5O9Ml1HbP\nw3JuFP9VtiGb0t+UZlmPZbSr3O6B5zduhI4doV69u+ecjStWEP7WWyipqRiKFKHjwoU2mxPWIgWz\nRYGgj9Sj0+u4mnyVtWfWotPr0Ol16CP1bHUtQhN+4eR+WZsqhC1TFIUGZRsw79A8yrhGsKnkQtIN\nUymnqctHgyKoV08tYpidbe1IhRD/xFwb4vhxKnTvztGq3vzham+xNsc9e95dsla9urrv+nULfgAh\n8kjNmurgUUKCutzSt6Qv2yO3Wzush4oytSgvVoyyTk5MS0uTZTriqWKnsaNVxVaM2T4Go9H4QP2j\nNm3URg2HD8OlS+q+qIgIOixaxGQfHzqOHUtUhKxqyUsyeCTyjNZXi06r46t2X+Hu4o5Oq6Pq6bJ8\n03kgJ84fYBbp+J6Uk54Qtq5/4/6sOrUKn//VYcDwQLbwAv1Sz/D31Y85cgSWLr27XEUIYXv6BQeb\nWxhPCgtjavhP3O5cEpcSJVBAneo/ZoxFGlh4eqpbGTwSBcVrr6nbZcuga/Wu6C/qrRrPP+kXHMz4\nOXMYqNPh4uam5m5qqsVyVwhbMLDxQK4lX2Nb5LYHBo+cnKB9e/Xx2rXq1nx+a9OG9o6O9B0xIn8D\nLmRk8EjkuTql65CSkUJMUgy9g4IYqNOh2CsoAJmplKvqx+Vz5/jqk0/4esQImY4qhI3p7t+dNr5t\nmHNgDp98Alv/Lotz1fJ81Pkt2rVT8/X0aSsHKYTItbpl6pKQlkBqejpDixcnNTHR3Pr4ScngkSho\nXn1V3a5ZA2/WHMDBKwdJy0qzblD/wNyi/PZthrq6knLtmrQoF0+VtpXbMqrVKMZsH/PQ57t2Vbe/\n/nrfE61bY9TrmSjfJfOUDB6JPKdRNDQs15DZB2abT3rpKbd5l6Lc5hrxG9Zz8LvvOPjtt1yeNk3a\nLAphg/o26Muhq4fQaNQ6Jjtq+JKx5SfKFlfzVQaPhCg4nOyd8E7zIGDg60yuVYuOCxdabKq/h4e6\njYuzyOGEyHNVq0LjxpCcDDu2FKOWVy32XN5j7bD+kXkZ6t69lNFosFu/Xq6dxVNDH6nnbPxZjl47\nypjtY3KUPQHo1El93fbtkHbvGG/r1oSHhxMza5bkQx6SwSORL3oE9GB9xHpAPem59OyJXnHiFJmc\nyMwkMjMTv8xMpqamMq5HD2oXLcqSOXOsHLUQwlS7bM/lPVxJusLLH7xAU18vtuzfw5T0dIr/OYKK\neLB1neSrEAXJs++8iNOzZVGuXKF9YKDFpvrLzCNREN27dK11xdY2W/cI7mlR3r07yY6OzMjIkNpH\n4qmh9dUyts1YRrYYSd3SddFpdei0OnPXNU9PqF0b0tNh3z71PaEhIXTp3JmdKSlMSUqSfMhDMngk\n8oXWV8v5hPNkG7Lx69mM8XPm4FF7Nn4UpQFQHTACmwAvoGVWFp6m25dCCKsx1S4b22YsVd2r0juo\nH7pJM3FwdEEBEm5doS0pxMdJvlqaTqfL03bHonBrVK4RO7POQUwMGAwWO661Bo/0ej06nS5Pji25\n+PT73//UVuC//QZNvLQ2W/fIxFQGwlCsmM3VPsrLXATJx8LizXpvciruFAmpCQ8817q1ut1+Z4zX\nnA/Ozhav41eQ5UUuyuCRyFOmWQurT64mIS2BDqEd0Ol1bL+4HQ9PDZDNbeA8sBoIBmoAMzMy+LF3\nb1qWKyejxkLYiEolK7H94nYUReF4bCyNHBwompbCPFIJuDSSznKXx6J0Oh1ardbaYYinVKNyjdh1\n/RCUKGHRkR5rDR5ptdo8HTySXHy6eXtDq1bqMpiz25qzP3q/zdY9gntqHyUnM7R4cVJiY1kTFobR\naLR6zZe8zEWQfCwsPIt60qJCCxYfWfzAc61aqdsdO9StOR+MRoZoNBy8etW8vzDLi1yUwSORp0yz\nFsa0GcMHTT/g8LXD1PaqjdZXi6tTBAfozl56cZHmZDlUo6JGgxFQALfixRk5dWqhHzUWwlYE+gey\nLXIbURERDAwNZWxoKEXv3PW0N6ZSyqcavfr1s3aYQohcqOlZk4s3L3LLozhER1vsuKbBI6l5JAqa\nIUPU7fRvSuDvEcC+6H3WDegRzLWPNmygjJMTdhs28PXw4VLzRTw1Pm/9OXMOzmHbhW059psGj3bt\ngsxM9XFURAQdfviBF2rVojrw++rV+RtsISGDRyJf6CP1HL56GD93P2bsn4FOr8P7g3Ren9mPAWPD\nuMIfxBm+xMnRkUSgF5CVkoJGoyn0o8ZC2Iq+DfpyJekKLw1+hw49epjz8z1NMVKJodi2cDbLyVqI\nAsHBzoE6petwvmgmXL5sseOaVpxLzSNR0HTtqtZSiY4Gt1u2XfcI7ql9FBTEwdRULqanE/ntt0xJ\nSmLdgAFS80UUeC0rtERB4YcjP+TYX7o01KgBKSlw4IC6z8Xdnemff84fcXFMy8zEcf9+yYE8IINH\nIl+YZiBNen4SXkW90PpqGf+CjokDtHz2GVSpAnbZERR/rjsvjRnD/1Wtiku3bhbr/iKEeHJ2Gjta\nVmjJzH0zAfUuj3PPnhwsVhZvDMzMSJUihUIUII3LNSa6hDFPZh5dvw7SLVkUJBoNfPqp+vjIL1q2\nXdBbNZ7cMNV6qVqqFAMBjcGAAhR1cpKaL6LAUxSF9xq9x8GYgw88d//SNXPdIzs7te5RSorkQB6Q\nwSORb7S+Wp7xfobbGbdZfTLn7IR69SCeYFq/FkaHDz6gfUwMnt7evPPJJ1aKVgjxMFpfrblzYr/g\nYMbPmUOjF78km+JSpFCIAsJUjzD2dix7jdHs2PVjjlbIT6JIEfUnI0NtfS5EQdKjB1SvDrH7W7D7\n0j7Ss9KtHdK/MtV6SU9JYZG3NwBBGg2pCQmsDg1lYnAwBoPB6nWQhPivTOepiBsRHI89jk6vy3Ge\nMhXN/u03+PNPuHXrTt2jxESGOjuTmpBgzg9hOfbWDkAULnYaO7S+Wk7Gncyxv149WLkSDh+G1193\nJdzFhZiZM9nUpAntAwOtFK0Q4n5tfNswfud48++KolCuvEIUWQxSnLBPTJSTtRA2TuurReurJSUz\nhSFhK2hCeVppdRY7vqcnXLyozj4qXtxihxUiz9nZwciR8MYbrhjjqrMnaj+tK7Wwdlj/ylT76OKZ\nM8THx1Nq2TLiGjXiwLp1OG7axNdZWcR+/z2bGjeWa2pRYJjOU5nZmcw+MJsRLUbgbO9sft4082jn\nTmjRAgIC4MM+ai68sHEjm4xGWcGSBxSjlYehFUWRkfBCQh+pRx+p53TcaZadWMbo1qMB9Y9D8nEt\nXbuCCyHU9pxGu5SLjLt9m65ublCmDD0/+IA+775r5U9gW/IidyQfxT8x5a/BaGDcjnEMf3Y4Lg4u\naH217PxuNxOnVuWcMoDPn29AQ62WfsHB1g4530guioKs38AK6A4Wo/yevy12zEaN4OBB2LMHmja1\n2GFzxdK5I7lY+GRmqrOPLvgN49UX3Vk28FNrh5RroSEhzBg+HENSEj5GI+mAFzAfGOzlxQUPD14b\nPDhfrqnl3CgsxWOiB/o39dTyqpVj/6efgl4P+/ereRsbe2fp9PTpcOIEzJljlXhtjSXzRmYeiXxj\nGkG+nXGblSdX0rhcYzpX6wzAjeLg6AipGUGcS3KnTZH32HT7NhUSE6nw9tuyBEYIKzPlL8CSI0t4\nrtJztK/aHgDfD7V8PhWmO8zEZft2Kki+WoSpHbG0JBZ5qW7DTmSvCbXoMe+te5Rf9Ho9er0+T44t\nuVi4ODjAiBHw7mQt605Mw2D4FE0BKfTROygId2dnlr71Ft5Aa+AXyFEHKa9nH+VlLoLkY2FU3aM6\np+NOPzB49OWX6vbZZ2H3bjh6FNq2BerUgWXL8j9QG5MXuVhA/hSKp0lRx6L4lPBh8ZHF5n2lSsGN\nGwAKWWlb2JKQyEpgltHItaVL6VqrlhTgFcJGlC9Rnr3Re82/b1gZgi81ic48w5T0dCmabSGmC2Qh\n8tIbnUbieuM2686ss9gxTYNHcXEWO+QjabVadDpdnhxbcrHweeMNKJvZktsl9zAubLO1w8k1RVHQ\nFC1KppMTNzUapt7ZH+TqSlo+LSvPy1wEycfCqLlPc07fOP2Pz9etq26PHLmzo3ZtOHas0HdtyItc\nlMEjYRUd/ToSEZ9zHWqxYuqaVQ0Vadj9Q0q5uABw/MYNBup0MvtICBvxQpUX2Be9z/z7G/2DiEVH\nhlHtcJF96xbe1arRq18/6wUphMiV4qV9cMKOpbssN9hrjZlHQliSkxOM+LAkxPsxXb+sQH0HjYqI\noEL37ry0fDm1e/XiVqVKNPb3p+PChVIDRhRI1UtV/9fBozp11K158MjdHWOxYkwcMECWOVqYDB6J\nfGWqnG8wGvjr6l8PVM4PCIAERuJQvBnpRiOvOTnhl5HBkX37pACvEDbinfrvsDd6r/mE7OKioKDg\nxE2GeHlx4fp1HMLD2bx69SOOJISwOkUhvbQHCWePW+yQpsGjzz+Hl18u9Dd/RQHVrx+4xLbmRlYk\nu3dbO5rc6xcczKSwMDr06MGksDCWzpxJv2LFaB8YSN8RI6wdnhD/mWnZ2j8xzTw6evTuvnAvL2J+\n+IFNq1blcXSFiwweiXyl9dWi0+qY1nEa9oo9w5sPR6fVmWup+Purr9u3LZS/3N2pkpHBLCBq0SJZ\nBiOEjShfojyOdo5EJkYCoChQwjGClfTkVEl3ygLTUlNl+ZoQNs50QyfOzZGMqEgGbxic44bO42rR\nQp25kZYGv/wC165ZJl4h8os+Us/Xe3VUCrgBlbcyeM3nFskNq6heHU7/8xdvIWydaebRP80iql1b\n3f79NyyaFUKXmjXZeekSU+Ra1OJk8EhYhb3GHvci7py8fjLH/oAAdbv/4mrS3L8jy94JI7AnMZHy\nfn6yDEYIG9GkfBMWHl5o/t3gFsxN5tBn6FhcXF0B+OvqVQaMHk30hQsybVgIG2S6oVOldmvaOflz\nNfkqOq3uiY/bogXEx9+9oI+KeuJDCpGvTLkR1uMHuOnN6T+q82nzuzc7C5SKFdU1pLdvWzsSIR6L\nRxEPFBSupzx8LXTx4lC5MmRkQMOWQQzU6TAoCgpgSEtj0JgxUv7EQmTwSFhNba/aHI/NOU2+QQNw\ndgZQOHZcITnLSHtHRypkZaGsWyfLYISwEU3LN2XzubtFRIsWBVBIz1BIy8riNY2GiklJrAkN5eqs\nWTJtWAhbVr48DbO92H15N7ujdltkdkWRIuDrqz6WwSNRUNWtq+Ca8BzJjUfz28ZMa4fzeOzsoGpV\nkHpHooBSFOWRS9dMdY+OHlWLwqelpjK0aFFS86lQfGEhg0fCatpWasuJ6ydyXKR6eMDJk7B8ORTl\nCzYaM4jPyMAfmJ2dzeIePWjo6ipTD4Wwsiblm3A56bL592LF1G346lD+cnUlq0gRogDD2rVMSUpi\n3YABMm1YCBtlLFeOnXuvMFY7lmGbhnHw+y0YDAYmjhjxRLMGfXzU7aVLFgpUiHymKPA/v7cgsSLj\nf/vB2uE8NmO1akwcPRqDwcDXn3zC10+Y20Lkt0cVzTbVPdq6FfbuiKB2Px3jfKpRa+xCLsnAqcXY\nWzsAUXjV8qrF7AOzKeJQJMc0YF9fdYbtO+8cIjN5GHX4DtPpLcbenvqtW7NiwQKiz59n+FdfyUiy\nEPlIH6lHH6knIzuDy7cuM2rrKOw19mR5a+GolvfHriYpZgXbhw6ldXIyv95539mUFCrI0lMhbFJ4\nVBS3Tp1nx6/riTx3Av+Vt3gpuzk+6w4xpWIRhvX//LGOW6GCupWZR6Ig+7S3lrktnDjwv1eJS3gd\nDzcna4f0n4UbjcRs3MjXw4dzeOZMvBSFTY0b0z4w0NqhCZEr1UvlbubRggUAwfhwiReYRr8hgXz+\neKcw8RAy80hYTU2vmg8sWzNRFPDz06CgQQESgPaAa1YW59etQ9m3j4vffSdLYYTIZ6Y6EOPbjqdc\nsXK8UOUFdFod5TK0AKSkqFOD02/eZJG3NwAvAy7Jydht2CBLT4WwIaEhdwqLLl9Oo+xsTnz5CzVC\nk7iWAeVWH2RmSgaRupmPPWvQNPNIBo9EQVaxIrSq3Azj1ToMCf3e2uH8J6Ycn7dlC7szMlgxeTJV\n0tKYlprK0l69aFmunMwIFgVCdY9/n3nUvj106aLOQKpbF8rU9sKLWMDIsWP5F+fTTgaPhFXoI/X8\ncPgHriRdYcz2Mej0uge6WFSpAkU5ziWvquwpWZKzwFHgptGIPzAzI0OWsQlhRRVLVmTHxR2AqeYR\nJCdDVEQEHRYuxLVhQ3YUKcJloAZqzsrFau7pdDr0er21wxBPsd5BdwqLGgz0AaplZlLbaGQgoMnM\nRAGKOjk9drHR/Bw80uv16HS6PDm25KLo3RvYOo6frk4gJTPlgbpgttqFzZTjVYsU4XOgAmAEFMCt\neHFGTp1q8ULCeZmLIPlYWFUvVZ0zN878Y64VLQpr18Lhw+rPvqPOKEVcKEkiSUn5G6utyItcVIxW\nXvCqKIqsuS3E/Kb70aFKB6Z3mv7Ac8HB8NVXoNMZaez/M6H9+hF/6xYuqF9EvwTqKwpNu3ZlzurV\naDSFayw0L3JH8lH8F1/u+JIdl3YQ3iec3r1h6VJYvBhef1193mg0suHnn1n63nv4JCQwAfiwVCna\nz55Nhx49npolp5KLoiDbuGIF4W+/jeLjQ/T583gpCmeL2lExLpl0RztcnYrQceHCx1reEhkJlSpB\nuXIQHW352B/G0rkjuSgAEhKgTBnIePkVPn2zMfYuKTk6E+r0Oot0KswLphy/4upK5uXLeCkKt4xG\n3J2d6RoammdL1+TcKCwpPSsd169c+fjZjxn33LhcvSe1QjXqRa3FrWl19uzJ4wBtmCXzRmoeCavy\nLuHNzfSbD32uShV1e+6cQtOaGrIzMsgAXIB4oAVQ2WhE89tvbF69WtZtC5HP+jfuz9d/fs3v53+n\nWLG2QM5OwIqioNFoyExNJVGjoZfBgHtyMhqN5qkZOBKioDPNFHyhe3eG9+kDwEsB/kzdNIlBfyZR\nddo0oh6z2Gj58uoy9JgYyMwEBwdLRi5E/nFzg06dYM22MUwOeBbPEiX4/cLvABR3LE6AZ4CVI/xn\nphy/eOYM2zdsoJiPDy/v3Mnv/v6PndtC5Dcneye8S3iTkJaQ6/cYPLwoHXWNuFvV8zCywkUGj4RV\n+ZTwoVzxcg99rlIldRsZqZ74KnTvTsaJE5w+f54jSUmUBPyBL7Oz6dOjByNLlGDIxIn0effd/Apf\niELN3cUd35K+LDu+jOJFHxw8gru527ZbN/jqK353cZGLVSFsSL/gYPPjSWFh5qL4bmVq4nFjN+lH\nfuaXazepfL4JB77fxEfjx/PNyJF8NH48k4KDQVH4+J5934wcyccTJqAoCg4OULYsXLmi/lSsaMUP\nKsQTqveynjWJeopd6E1UpVkEeAZwNfkqN1JusOHsBoo4FEGjaND6anM0grG2e3M8yPR44EDa+/oy\nMS6Orz75BEVRGH4nb4WwNabzkpOdEzP3z8SjiAfAI3NNKV0aL2K5UEiXreUFGTwSVuVdwpsiDkUe\n+pzpIvPixZwnPoPBwPhhwzj4ndqFzQgcVxQat2rFigULuHzuHIpGIydBIfJBywotiYiPoOmdmkf3\nDx7dm7scP077jAwmJiTIxaoQNsp0MV7Dowbbm1/ixY3nqRodzd5y64n9/nu+zsoyb01dm+7dF/v9\n9zm6OPn4qANHly7J4JEo2D55Vcu3H2iJ08OAnzyZ+YoOgGxDNn7T/cg2ZDO27VirxphrrVoR/s03\nHDp+HEN2NmXs7aX7mrBZpvOSq5MrS48tzfUSUbuyXpTmWqGteZQXCleRGGFzvEt4c/nW5Yc+5+Oj\nTnePjoasrLv7NRoNdpq7XdhMy9fO3enCtm/KFC5Pmyad2ITIQ/pIPTq9jmu3r7H5/GZ2O+lAq+Pv\nFP0/v6lePcI3bODQtGkc/PZbyVMhbNiVzWfZvDqGeadOEZGUxPYpU4hISmLb5MnsTkri58mTyUpL\n40JqKr9PnkxEUhLnv/2WKUlJrBswwNyhrUIF9Xiffw5btlj3MwnxJJydoUcP9fGJE3f322nsCPQP\nZPHRxfx25jebL6YdGhLCM++/z9ADBzifloZfZibTUlMJe/VVaWghbFozn2ZE3cp9BwYHb3XmUVIS\nSKksy5DBI2FVPiV8/vGPgJOTOt09O/vBQpvnjx/nvKcnWxSFq6hd2GJA7eqUnc201FSWvPKKnASF\nyCNaXy06rY6v231NccfivOSqA72OUknah74+NCSEZ4KCGHr4sFysClEAfPjBSBLaOlC5RAkGAr53\nurBVBj4HKgJ+wECgyp2tvcHwQIe2mjXV4+n18PHHVvggQljQiy+q2xuHtDn2d67WmWWBy3j717dZ\nc2pNjudsbfCod1AQn8+YQX17e6pzt/uae8mSedJ9TQhLqV+mPolpiSRnJOfq9ZoyXpS3u4bBACkp\neRxcISGDR8Kq/m3mEdyd4h4ZmXP/3PBwDl29ypsffEBt1AvYGpDjJOjh7i4nQSHyWGW3ymQaMsly\niQEeXLZm0jsoiM+nT6e+nZ1crApRAGg0Gvw8qpGSnckib28UYI67OwoQcmebqChMBfNzAEGlSpGW\nmIiiKCiKwscfw4IF6jFjYqzzWYSwlFatQKOB0xu1Ob6Man21NK/QnE9bfsq0vdNw/sIZ5y+ccf3K\nlZtpD28MYy2mZhZZ9vakoM7i7wlk3b4tDS2ETXOyd6JB2Qbsj96fuzeULk1Z+1gAbt3Kw8AKEal5\nJKzKu4Q3UTej0EfqH1rwzNcXdu9W6x7dz7R8zQ5IR+3Clox6EnwN8EhJkZOgEHlMURRqedUiRtkP\nvPiPg0eKoqCxsyPLwYHM7Gxznl5PSCBt6VI6mNYCCCFsRrkUN1KHd6WtQz3i4+PJOnqUinXqkHX0\nKCmpqRTz8aE2EH3pEl5FilAxNZVSWVlUGDbMXBi/SBHo3Rvefhvi4sBgUL98C1EQlSwJ9evDwYOw\naxe0a6fuNxX0BTBi5JWAV7h48yKXb13mu73f4ersCjy6wG9+MTWzAHAvW5Ybc+eiPPOMNLQQNq+Z\ndzN2X95Nm0ptHv1iLy/KKNcASEpSV7SIJyODR8KqPIp4kJKZwqZzmx56Mr23aPbDnD9+HJeWLTHc\nusWN69dJvX2b1DJlcHZywqVWLTkJCpEPOlTpQMTZfx88gvsuVj08uDl9Oq6Asm4dm1atkkKdQtiY\nXsMGs+jIIoJ6Bj/6xaB+mx44EO7LZUdH9Ut3YiIkJECpUnkQrBD5RKtVB4+2bbs7eHT/oJCpoG/Y\n0TDG7hib6wK/+SVHMwtQk7NhQ+jf3zoBCZFLz3g/w+Kji3P3Yi8vPI3qzCMpmm0Zcu9HWJWiKFRw\nrUB8avxD14SbCm1G/UNttLnh4YTt2MGaw4fZER3N/sREwk+d4pcjR5gUFkbfESPyLnghBACNyzfm\nfNp+8NVz2V4PPLzGQ7/gYCaFhVG3VSt++eknzgE1DAZmZWWxtFcvqX0khI1pXL4xB64cYNuFbbl7\nQ6NGGM+cYeKQIRjvq07q6alur1+3cJBC5LM2dyY8bMtFWrSv2p7IxEjSs9LzNqgn1aABxoMH+fqT\nT/jqnp+vR4x4IJeFsKZmPs3Yc3mP+bz0rzXFSpfGPfMqrnzCgm9GYDAYmCj/pp+IzDwSVmOa4utR\nxIOQgyGcijtlvnNjunv9YVeFAAAgAElEQVTj7a2+9vI/l0USQlhZ43KNOZ28H3y3cb2YAmj/cSkq\nqPWP3N3cWNq/P8b4eACuKAoBTZrQq1+//Av8/9m77zip6nv/468zO9t7X5a2dLBELCT+jGW8xgAp\naoyJBU2wYYoxxptISHJ1uFFjVzDFNebCjT3xRtGoYCQMKhakqdhYhYV16cs2tu/M/P44zBa2zOwy\n7cy8n48Hj7M7c+b45fHg4/fM53y+n6+IDGp01mjcHjfPb3k+sCUCSUmsKCtjV3k5L596aq9qwqIi\nqKiAvXth6tQQDlokxE47zVx6+c47cPAgZGT0fr/n3FeQVsCE3Am8vuN1zhp/VngHOhQnnMCKu+9m\nw65deNzurpdL7HZenjFDlcESNUZljSLFnsIzHz/DmePOHPR+k+xsXJ4WTmMx3n8Y3HFjJ3sfekj/\npo+AKo8kYny7NS05dwnpiemcNuY0nA5nr/8BKHkkEv1GZI4g1Z4Kaftp7+yguaN50Kc6vmadHc3N\n1BkGs4GMtjYSXnqJfz3zTPgGLiKDMgyDk0pPYmfjTr/nPlpezjeOPprXdu/m3pYWXl2wgG8cfXRX\nNaEqjyRWZGWZK7w6O2HNmr7vH/5F9sKjL+SlT18Kz+CG4dHyck4+7zxu2LaN91pb2dzRQWVHh3ZF\nlah1yuhT+PuHf2fWo7PYUrOl33MeLS/n5NJSFuImiVZ2tLdQcc893NvYyD9/9KNe85METpVHElG+\n6iObYeOW124hwZYAdK8d9yWPqqsjOEgRGZCr0sXSTUtxezvhi3/kAJB+220AbK/fTllOWb8NQqsq\nKmg79ljerKjAXlfHV4Fb29uZe8kl3JKfzzU338yl11wT9r9PNHE6nTgcDhwOR6SHInHINz/Xt9bz\n0qcvMbXALBcaqOHvnHnzyM/L49Uf/xgD8LS2cu1tt3U93fUlj/buDdF4XS5cLldIrq1YlMOdeaZZ\nebRqFcycOfi5syfN5vJll3P3V+8Oz+CGyFcN/NhVV3U1hjHovSvqxYsWBbyxRShjERSP8cw3L3k8\nHnYf3E2CkUB1YzVJCUl97jd9/64fvnQekzrqOQNYhvlvOj05mWsXLoz56qNQxKLhjfCiP8MwtO5Q\nOPuvZ5ORlMEzF/WuOvB6ISUF2tvNLcDT0iI0wCgUithRPMpw1dRAwQVOUlLgkXuO4Vcrf8WWn/T/\nNMjH6/Xy0t//zuNXXsnogwf5HXB9fj4z//QnZl1wgWV2SlQsSixbumkp9755L+/98D2/5y5/+mlW\nXH45RnMznvR0Zi9Z0nVz/pvfwK23wsKFcNNNoRtvsGNHsSj9Wb4cZs+GL30J3npr8HM9Xg/Fdxez\n7up1jM0ZG54BDtHyp59myWWX0dHaiu9fezFQD+SnpPDNRx8d8hdtzY0SSk6XkzPLzuTSZy6l6mf9\nN8dd/vTTPHTRZRS426nEw3jAU1xMWnNzr/kp1gUzbrRsTaLCscXH0tTRd5smw4CRI82fVX0kEr3S\n081jezucPvZ0dtTvwO1xD/qZruVrnZ3UGQYXA5vr6jAMwzKJI5FYN61gGvuaA1trVlVRwaylS7ln\n5Ehm33Zbrx1PQ115JBJOX/4yJCTAunX+d3GyGTZmTpgZ1UvXfLuhTrjkEtJOPZX6MWOo//KXGZmb\nS+rpp2v3YolKUwumsr9p/4CJkaqKCpqOOp/HeArvUZfQkJHBjHPPZfaSJfo3PUxatiZRoSi9iLzU\nvH7fGzUKtm2DrVth0qQwD0xEApKcDMZ2Bx4v5CYVUZRexF82/oV5J84btJmh74b1rK9/nY3f+x47\nDIOVzzwTcHm8iITW1IKp1LXU4fF6sBmDP3Ps2v778ceZmZ8P117b9Z56HkksycyEGTPMqqPXXoOv\nfW3w82dPnM3fPvwbUwumDtzcN4K6Yvdwl10G//EfcPnl4R2QiB+OMgdF6UXYbXb2Ne+jKL2ozzlX\nL1jAwRR4+QY46isXsGjHt8x1puefH4ERxwZVHklUKE4vJsWe0u97vsqjWbNg9+4wDkpEAmYYkFnj\ngEoHTU3wtUlf4x8f/QMYfBvVqxcs4LjTT+f3t97KwaQk/tjZSdI776iRoUiUyE7JJjc1l6r6/pcF\n9GvGDLxr1/baErno0H29Ko8kVvha7gTSUmTmxJm4Kl28svWVUA4p6LyTJ3NneTkej4c75s/n9vnz\nuUNbnUsUcJQ5MAyDY4uP5eP9Hw94XlaWeWxsxHyKoUnoiCh5JFGhKL2IvU39B/NFF3X/vGFDmAYk\nIkPmW7rW1ARnjD2DTw98yrbabX5vMufMm8ePnU48iYndjXYXLmTOvHmhH7SI+DWtcNqgN+d9nHQS\nK5YvZ9cf/8jL/zCTyKo8klhz5pnmcdUq/+cWpBUwJX8K1Q3W6sGwoq6OXevWcceNN7Jh8WLW33cf\nny9e3BXXIpE2tWAqH+37aMD3MzPNY2Mj5lMMTUJHRMvWJCoUpRexp2lPv++dey58//vwv/+ryiOR\naJaeDpS5uP0tF3s9H/FZ7WdMWDwBL95Bd17z9Thq7ezkZykpfLB7N2ccel1EIm9awTQ+2v8RMyf6\n2VYKc3vkJ++7j+O2bOFer5ffLFjAAzfdxKzvXwdco4e+EjO+/GWw280Hm/X1kJ3d/3m+HaLa3e0s\nfXdpV9PsgXYujAaPlpfz5OLFpOzaxeduN3X33EMmcDZwa0cH37/wQm4pKtLOqBJx0woGf7jhSx41\nNGA+xfj00/AMLEYpeSRRoTijeMDKI4DiYvOo5JFI9EpPB951cPk4ByecANNc09jVuIvPGz5n6XlL\nB/1sVUUFsx56CM/ll9OZkKC+RyJRZFrBNN7b43+3NTArCfPz8nj14osx3G6zkvC22/iPc77NT+ab\nOzN6PGBT7btYXHo6fPGL8MYbcPPNg/XldFCIg1HNCTTaMyn8wAnABx/ABwH8d846C6ZODdKgA+SL\n49U33MAVtbU8BGQAXsytzvNycrh40SLN0xJxUwumsnLbygHf77VsragI3nwzPAOLUSFNHm3bto1b\nb72V+vp6/v73v4fyPyUWV5hWyN6mvXi93n6rDUpKzKOSR8OneJRQ67lszWdC3gTe3/u+38+m5uXx\nwG23cZzNxuLWVn5zqO/RRdddp6eaIhE2rXAaT33wVEDndlUSAjeMGoXn0A6KSUkGOTlQVwcTJkBB\ngf9rpaTAHXfAKacc2fhFQuWss8zk0aJFAZx87Hg4tZZrfzO0/8bUqfDRwKtyQsIXx2319fzvqFHY\nPv+cJqAWuBjIb27GZrOpQlgizt+y6j7L1lT+ekRCmjwaN24cDz/8MN/5zndC+Z+RGJCamEpyQjIN\nbQ1kp/St+/Ulj/b0v7JNAqB4lFDLyDCPvuSRo8zB/ub9fndogh7VCldcgdHW1lWtMPPb3w7hiEUk\nEL5la4PtnNhTVUUFs845h68edxwvH3NM15bIxx9v9oeprDT/BGLJEiWPJHr99KfQ1gYHD/o/d5d9\nHKuy3Fzyo8Cu7fXCn/5krrKJRLVeVUUFs5YsYfuWLax+6SWaGhoY29lJTWoqxuTJ2upcokJZThl7\nmvbwUsVLzJ40u8/7fZatKXl0RAJKHl1xxRW88MILFBUV8f773U+Qly9fzvXXX4/b7eaqq65i/vz5\nIRuoxL7ijGKe++Q5Ljvusj7vqfKomy8eD6d4lEg7vPLIUeZg466NNLY3+v1sV7WC283P0tPV90gk\nipRklNDh7uDFihcDSh5dvWABPP44PPssM2++uev1F1+E9/0XIgLwxBNw332BfSkXiZT8fLM6LhC7\nD47n2D/t5w+/Dfz6Tz4JtbXmck9f0/lwuXrBgq6f5/l+/u1vobUVbr01vIMRGYDdZmdi3kSe/fjZ\nfpNHfZatqWH2EQkoh3355ZezfPnyXq+53W6uvfZali9fzocffsgTTzzBRx99xCOPPMLPfvYzdu7c\nGZIBS+wqSi9iVWX/W1ao51E3xaNEq/6WrY3PHc9nBz4LaFvfqooKZt17L1+12Zhit7PymWdCNFIR\nGQrDMJhWOI19TUO46T7mGNi8uddLKSkwY0Zgf3zboCt5JLGiOL2YpvYmGtoaAv7MiBHmcdeuEA1q\nqMaMge3bIz0KkV6mFkxlf/P+ft/rWXnkzcvvbrwnwxJQ8ui0004jNze312tr165l4sSJlJWVkZiY\nyEUXXcSyZcu47LLLuO+++ygtLeXAgQP84Ac/YNOmTdwRaFpe4lZRehEH2/u/S/RVHm3ZAtXW2uU0\n6BSPEq18y9YaetwXZ6dkk2JPYV+z/y+dqXl5PPDAA7ze3MzilhaSDvU9erS8PEQjFhF/XJUunC4n\nne5Olr67FKfLidPlxFXpGvyDU6bAtm3mmp5h6C8ZLWJlhmEwPnc822q3BfyZ0lLzGDXPAMeOhR07\nIj0KEaB7fjrQfIB/fPyPfuenpCTzj9sNe2sT8WRl07j9AA0N+P2j+aevYfc8qq6uZvTo0V2/jxo1\nirfffrvXOXl5eTz44IN+r+V0Ort+djgcOHyPmyQu+LYw3d24m7eq38LpcgK9tzDNzQXDMNd/f/e7\nsGZN5MYbKS6XC5fLBUBdXV2v9xSPEg3GjDGP2w67Lx6fO56/f/B3fvzFHw/6+a6+R5de2muXpmjr\ne9QzFkVinW8uPqboGH618lc4Hc7APpicjLesjDt/+EMoKuIXt93GXQsWmLs1GQY3/u53gy5L9SWj\nVXkksWR87ni21W3juJLjAjo/6iqPxo7FW1nJnfPn4wW8Xi9vr17N/3M4uPH227XUXMLKNz+t2bGG\nD//24YDzU1YW7N9vFiN8SAHnjF/ApzyEuXfg4O6+G/7zP4M7bisbdvIomP9z6PllVeKPL/BHZIyg\nzd3Wb+AbBtx+O8yfD1u3hn+M0aBnIqeyspJFPbb2UDxKNPBtJfzxYZteTMibwMptK/0mj7r6Hnk8\n3DByZNcuTdF2M3p4UnXhwoWRG4xImDjKHOyo30GnpxO7LbDbxxU5OWx49FGK7Hbu6Oxk0x/+gMft\npsRu5+UZMwZNDKvySGLR+NzxbK0N/EY26iqPRo5kRXU1GxYvxuN2U+t2k+nxsH3TJl7+4hej7mGP\nxIcZI2dQ01JDXWsdOSk5fd6fMwf+53/Mn5cftPEf3sepS5lFW+LA/14bD7XrXLVKyaOeht23f+TI\nkVRVVXX9XlVVxahRo4IyKIlPk/MnD7heFeC668zj/v1mBZJ0UzxKNBgweZQ7gdqW2oCuUVVRwayZ\nM7nnhhuYvWSJdnMRiRIFaQWUZpayfud6v+c+Wl7OySNGcNPatXR2dPBOSwv/e889bG1tZVJHB4tb\nWnjswgs5rbR0wGWph+/eKBILxuWMG1LyKJoqjx4tL+fksWO5wePhndZWNnR0UOvxMA34Q3s7f73g\nAk7MztZScwm7pIQkji06lte2v9bv+/ffD3+8q5zTRx/N/rQqHqSZeaMXcProo/njXeX9Lll75RXz\ns83NYfyLWMCwK49OOukkKioqqKyspLS0lKeeeoonnngimGOTODOlYMqguzKlpJg3kwcPmkGdnR3G\nwUU5xaNEgwkTICHBXLbW2gpv7TaXpL635z1c2139Lkk93NULFphb1+zaxcwbbgjf4KOQ0+nU0lGJ\nKudMOYdVlato6WwZdNe1OfPmkZeby+M/+hGjamq4EigHMsFctgbkZWdz8aJFzLrggn6v4as8CnTZ\nWiiXkyoWJVjG545nxWcrAj7flzyKhsojX1w/ds01eOvqOACk0h3T2ZmZ/Pbhh0ktKAhpFbviUfpz\n3tTzWL19NZnJmf3OT12tEa68EgP8tkZISzOPVk4ehWJeDKjy6OKLL+aUU05hy5YtjB49miVLlmC3\n2/n973/PzJkzOeqoo7jwwguZNm1aUAcn8WVExgg63B38c8s/BzynoMA87h+4QCnm+eIRUDxKVElK\nMhNIXi9UVJhJIqfDyY9n/JhxOeNwOpw4HU7/W32PGBEdj1kjzHeDLBItziw7k39v+7ffZtmGYWCz\n2ehoaqLeZmMx5g1nE1ALXAx0NjVhs9kGXJY61Mojh8MRsi+sikUJluEuW4uGKdEX152trbQCvlb4\nB4CLAG9bGwk2G2eeeWZYkkciPTnKHF19dPvT1RqhvZ0bcnNp8dMaIRaSR6GYFwOqPBqogmH27NnM\nnj07qAOS+GUYBpPzJ7Ps42V8Y/I3+j2noAAqK83k0YQJ4R1ftPDFo2EYvZaqKR4lGkydau6K+PHH\ncOyx5mtjssdQ31Yf+EVKS/FUV/PtL32JL51xBl7g7dWrOfmMMzBsNr+NdkUkNM4oO4NLn7mUL438\nkt9zqyoqGHP++Zz1rW+x8plnWL9mDVk5OYz9yleoeeQRjKOOGnRZakqK2e+wtdXcJSchIZh/E5HI\nGJc7ju312/F4PdgM/8/wo6nyCLrjGmDDmjXsbmoiZcoUDGDXwYNaai4R88WRX+STmk/4SudXBjyn\nqqKCWddfz1fffZeXr7pq0H+v6rvXv2EvWxMJhakFU9nbtHfA91V5JBLdpk6F557r3fdodPZoDrYd\nxOv1Bpb0GTGCO959F6O2lrXr19Pg9ZLp8bB2/XpGJiX5bbQrIsHne6KbZk/jltduIcFmZnMGWoZ6\n9YIFXT/3WZrW0AAnnAA/+MGA/z3DMKuPGhvNm/esrKD8NUQiKi0xjZyUHHY17mJk1ki/5/uSR7t3\nm1W9kX5u0jOuRaKFb37KT83njjV3kGJPAfrOT1cvWACbN8OyZX7vI2Oh8igUlDySqOAL+oa2Bl6o\neIG5z86lLKesT9AreSQS3aZMMY89k0cZSRmkJaVR01JDQVrBoJ+/ds4cXn7qKWxuN+2A4XaTiNkr\n5Wy3m1tbWrjsO9/hlpISrrn5Zi695ppQ/VVEpAfffPzajtcozSgdcEvkgJSVmWXEfqSnm8mjgweV\nPJLY4WuaHUjyKC3N7PFZXw8HDkB+fhgGKGIxvvmpuaOZdTvXDT4/+eYfP9lYJY/6FxXJIzU+E1/Q\nf3bgM1ZXrmZs9th+A9+XPNq3L7zjiyahbAoKikc5Mr4d11avhp//HGw2uPRSc+laVX2V3+TR4kce\n4bbCQtYtWkQaZi+FFCCD7qacBXl5zBmk0W64hDoWRaJRdnI2be42/ycOpqzMLFH0QzuuSSzy9T06\nbexpAZ1fWmomj3buVPJIZDAnlZ7Ec5/4mVsyMsw/e/ZAScmApyl51L+AGmaHmhqfic+EvAnYbXb2\nNfefHfIlj37xC/jDH8I4sCgSyqagoHiUIzNtGiQmQnU13HMP3HUX/PSnMDprNFUNVX4/b7PZSEhI\nwAa0YDbkNICDmI12LwI6m5sHbbQbLqGORZFolJ2SzdjssUd2kSFUHkHgO66JWMFQm2b7lq5FQ9Ns\nkWh2UulJ1DTX+D9x3Dhza+BBJCWB3Q6dndDeHqQBxoCoSB6JgLl0zelyUpheyJ/W/Qmny4nT5ezV\nNX/SpO7zr73WLOEVkeiRmwsvvWQmjX7zG/O1Tz81k0c76ncEdI2tmzeTetppTLjkEloLCtiWlkbD\nmDFsGzWK5pQUPi0rY8eWLSH8W4jIQLKTsxmROeLILlJWhnfbNu785S/xer0DnqbKI4lF43PHs61u\n8C+uPfl2XIuWptki0WpczjjcXje7GgfPtHrHjuWO227jDj9zkKqP+oqKZWsi0L10bUr+FBauXtjV\n66hnz6Pzzzcr3c85x/x9/37Iywv/WEVkYGedZf5pb4dbbzVveEszRrNmxxqu/eK1fj//5xUr+n9j\n506WT5vGis8/Z8zkyUEetYgEIjs5m/rWIeye2J+SElYcOMCuP/5x0Ab4qjySWDQ+dzwPb3g44PNV\neSQSGMMwOKn0JNbvWs83MvvfuRtgRXs7G5Yvp2jlykHnoLQ0c3+H5mbIyQnVqK1FlUcSdRxlDrbX\nbWfVtlW9qo7ALB/85jfhxBPN3+vqwj8+EQlMUpL5xNTjgQz3GDbv3Tzsaz1aXs43zj6b1xobubex\nkVcXLOAbRx/No+XlQRyxiPiTnZJNfdvwk0ePlpfzjWOP5TXD8BvLqjySWORbtua7x+15r3v4fS+o\n8khkKE4ccSJPf/g00DeeHi0v5+QRI7jphReY0NnJ4pYWHr/kEk4rLe13DlLlUV9KHknUGZE5gsL0\nQt6oeoN2d/+LTHNzzaOSRyLRbcwY82g7OPqIvnDOmTePHzudeOx2DMDT2sq1CxcyZ9684AxURAKS\nnXxkyaOuWLbZ/MayKo8kFpVmlnKg5QD/+uxfgP/kkSqPRAJ3UulJvFH1BtA3nubMm8dNixYxOSen\naxOW3MxMfrVo0aBzkB5gdNOyNYkqrkoXSzctJT0xnVe2vcIr217hjao3KMspY+70uV1L2Hylg7W1\nkRuriPiXMs0FyS5e3FpHVUMVTpcT6F6mGijDMDAMg1avlxtGjsRTV9f1moiET3bKkS1b64plt5sb\nSksHjWXduEssshk2xuaM5fktz1PbWss71e+wt2kvAA1tDX3O91UeKXkk4t9JpSexo34HP3rhR33m\nKsMwsNlsdDQ1UWezcYnHQ15T04CbsKjyqC8ljySq9PxCOevRWdQ01+B0OPt8yVTlkYg1zChwsOp/\nHHz5PzysNH7PL075BelJ6cO6VlVFBTO/9jU2HTjA1rw8Fl5/PZvWruXG229XEkkkTLKTs/v9gjsU\nVRUVzJo1i6+edhovT5hAVUVFv+dp2ZrEGlelC1eli7LsMl7e+jItHS18Wvspuw7uwu1xs7tpNxPz\nJgLd98S+yiMtWxMZmC+2ttVuo83dxrMfP8uug7tITEikLKesK56qKioYc/75nPWtb8G8eaw8/fQB\n5yAlj/pS8kii1qisUWzavQlXpatP8kiVRyLWMPbQjt6fV9nIm5THpwc+5biS44Z1rasXLGD5Ndew\n8Z//pAYo9njYfv/9vPzFLw7Y7FBEgutIex6BGcvcfTfs3MnMG28c8DwtW5NY0/MhqdPlxOlwdh1f\n3f4ql/7jUpwOZ6/P9Fy2tmcPDPdZSWYmpKYOf+wi0axnbI3LHcd3j/4up/3PaSw9b2mv865esKD7\nlzvuYNaCBfClL/V7Td8cpORRN/U8kqh14dEXUtdaR1tnW5/3VHkkYg2+5NH27TA5fzJbarYM6zq+\nJoc/fugh1nk81Ho8TAP+0N7OXy+4gBOzs9U8WyQMgrLbGphrcfyUUvgqj26/HWpqjvw/KRLNRmWN\n6reqLz0dsrKgrQ1KSqC4eHh/Cgvhs88i8BcTiYAJuROob6sfsH8uYGZmB1kP6qs8UvVrt6ioPHI6\nnTgcDhwOR6SHIlHCVeliTdUaCtMLuX3N7STbk4HurHI8Vx65XC5cLlfIrq94lGDyNczevh3OHf1l\nKg70Xxrsz5x588jLzeXRefM4UF9PKnQ1O8zOzOS3Dz/M7AsuCNawAxLqWBSJRsGoPAL83rQDFBSY\nx/Z2uOceuO22I//PikQLX5WE7zgycyRNHU14vB5sRu/n+9dcA0uXDv+/VV9vfgF+7z2YMGH41xGx\nAkeZg2R7MsXpxXx24DOmFU7r/8SSEti9e8DraNlaX1GTPBLpyZckqmut44O9H5CTksP1J1/f9X48\nVx75EjsLFy4MyfUVjxJMvsqjHTtgYt4k3vh8Tb9LUf3xNTl0t7XRDqQCB4CLgNy2NhIGaHYYSqGO\nRZFoFLTKowCSR9/5DixcCJWVqjyS2HN48ijZnkxeah57Du5hROaIXufeeaf5Z7guuQSeeEJfgiU+\n+GLq+BHH80nNJwMnjwKsPFLcdNOyNYlqM0pnUN1YzbMfP9vr9XiuPBKxkqwsyM6GlhYoTjSXrfW3\nFXEgfE0Os487jtapU2mYOhVvVhav2u1s/+ST4A5cRPqVYk/B4/X0u6R8SAJYtpaeDjfdZP7cPsjK\nA5FYMSprFJ83fB706+pLsMSjKflT+GT/IPeHfpJH6nnUV1RUHokMZMbIGdS01JCXmtfr9XiuPBKx\nmtJSs2Q+o3USFTUVnD3+7GFdp1eTQ4D16/ndrFnkNTRwQJlkkbAwDKNr6VqRvWj4F8rMBK8XGhvN\nnweQlGQe244wVyViBb7k0YyRM4J6XSWPJB5NKZjCm5+/OfAJAS5bU8+jbkoeSdS6/637eeajZ2hq\nb2JN1RrOWHIGhmFw3tTzmJltLmFrOLLdgkUkDEaMgI9aXPzPe6uoba1l4eruZV49d8cYimvnzOHV\np5/m/7W38yDwg0WL+MLixZx+wQX8/rHHgjd4EenDt3StKP0IkkeGgXfECO684QbIz+fG3/2u36Wn\nyWbLQ1UeSVwYlanKI5FgmVowlaWblnZVvPe53xwxAu/Ondw5f77ZR9Mwes1Fipu+lDySqHX9ydd3\n9TlK+m0Sj5z/CGOyze671dXmOUoeiUS/0lLg3w6+YnewJuuvnDP5nD5bEQ/V4kce4XdFRXx+//0Y\ngM3j4eKf/pT5d90VjCGLyCCC1TR7RWIiG/76V4oSEnh5xgxmfvvbfc5R5ZHEk9HZo5U8EgmSKflT\n+Hj/x6zatgrDMPomj0pKWLFtGxsWL8bjdlNit/eai1JTzdMUN93U80gsISMpg0fefaQrc5yVZb6u\n5JFI9BtxqO/nrl1QmFZIU8eR1//abDZsNnMKuyQpCa/bjdHjNREJnSNtmv1oeTknjxjBTZ98woT2\ndha3tPD4JZdwWmkpj5aX9zrXlzxS5ZHEg1FZo6hqqAr6dZU8knhUlF6Ex+thxWcr2Fq7tdd7j5aX\nc/LJJ3PDgQNsbW1lUkcHi1taeOzCC7vmIt/809ERgcFHKVUeiSUcX3I8r2x9hQ5PB44yB+npYBjm\nGlS3GxISIj1CERmIL3m0cycUji1kQm5w9gneunkzE37+c2684w7unD+fre+/H5TrRgun09m1o5tI\nNDnSyqM58+aRl5vL41dfjbehAQPIzczkV4sWMeuCC3qd61u25q/yyOVy4XK5hj2mwSgWJVxioWF2\nKGMRFI8SGFeli6ymqTIAACAASURBVKWbljIycyRvV7/N29Vvs6N+B2U5ZcydPrdrHnrs8ssxmpvN\nZWtAXk4OFx+ai5YuNa9l1YcXoYhFJY/EEq4+8Wp++MIPGZk1EgCbzeyv2dBg9tr07b4mItGntNQ8\n+iqPSjJKgnLdP69Y0fXzL2NwuZrT6Yz0EET6daSVR4ZhYLPZ6Ghvp84wuMTrJa+5GZvN1qfvUaCV\nR74vkwsXLhz8xGFQLEq4hDp51NIS9Ev3EcpYBMWjBKZnT80rl13J8k+X45rr6nWOzWaj0+OhA6gF\nLgbye8xFVq98DUUsKnkkUc2XNf7swGfUtdbx2PuP8XnD55TllJE0ZS6846ChQckjkWjWc9naKWmF\n7GveF9kBicgRyU4+8p5HVRUVjDn/fM6aMgUef5yVJ55IVUVFn/PUMFviyaisUVQ3VuPxerAZwVuG\nrWVrEs8Gqpb1zUMAeZs3U2O3Y0yd2jUXadlaX0oeSVTrmTX+7t+/y/t73u/KGh/9a9iP+h6JRLte\ny9bSC9nXpOSRiJVlpxxZ5RHA1QsWmD9s3gxPPsmsAXZJVMNsiScp9hSykrPY17SP4ozioF1XySOJ\nZ1+f9HUeWPsA7e52khKSul7vmocAfv1rSEmB//qvrpesXnkUClHRWdTpdIZ0bazEhrTENJo7ume9\neG2a7XK5Qlqyq3iUYOtZeVQQQ5VHoY5FkWgVjMqjLvn5cODAgG/r5l3iTSiWril5JPHsrPFnUZpZ\nSnVD9cAn5eZCbW2vlzT/9BU1ySM1PRN/zhh7Bl68Xb/Ha/LI4XCEPHmkeJRgysgwe5S1tUGaN3aS\nR6GORZFoFYzKoy55eWbyyOvt9+1AG2aLxAolj0SCb3TW6MF3MuwneZSYaB6VPOoWFckjkUB8ffLX\naens7vTnSx41NkZoQCISMF/1kfeglq2JWF1QK4+Sk83HuwNM5nryK/FmVKaSRyLBNjp7NFX1Q0se\naf7pS8kjsYy81DxqW2pxe9xA/FYeiViRL3k05/wCquuUPBKxsoGajw7bIEvX1DBb4s3o7NFKHokE\n2XAqj5Q86kvJI7EMu81Odko2B1rMG0xf8uiqq6CzM4IDExG/TjjBPKrySMT6spODuGwNzKVrNTX9\nvqWG2RJvRmWNGvxL7jCkpppHJY8kXo3OGn7lkXZb66bkkVhKYVohL1a8CMCMGd2vf/RRhAYkIgG5\n6y746U+Btkzc3g5WfLoi0kMSkWHyVR65Kl24Kl0AvY79/Tyo/PwBk0eqPJJ44+t5FFDsBEiVRxLv\nxmSPoaqhauC4UuVRQJQ8EkspTC/sCvpLLoGxY83Xm5oiNyYR8S8hAWbOBDBI7Chk+afLIz0kERkm\nX+VRUJNHAyxb69mwdICe2iIxRckjkeAbnT2aHfU7lDw6QvZID0BkKArSCmjq6M4UjR8P27creSRi\nBQUF5jGhpZjGdnW6F7Gq7JRs6lrr2Fa7DYBV21axrXZb17Hna8UZxf4vOMiyNZsN7HZzeXpHR/fN\nvEisGpU1iurGarxBzJYmJZmx1NFh/vElZUXihd+eR5mZ0NraK0C021pfSh6JJfieXm6v287G3Rtx\nupwAtJY4AIeSRyIWUNHhAoeLDreHv2z8C6OyRgHgKHPgKHNEdGwiEhhXpYslG5eQmZTJX9/7KwBP\nbH6CDk9H1xHgsfcfw+01N7hYW72Wspwy5k6f23+sD7JsDcyla52dZt8jJY8klvnudw0M/vvV/8Yw\nDODI50nDMKuPDh6ElhYljyS+uCpdrNq2irrWOhauXtj1eq+4MgzIyYG6OigsBFR51B/DG8y09nAG\nYBhBzaxLbLvxXzeycddG/vW9fwFw8cXw5JPw2GPmMrZ4EorYUTxKKDU0QHY2JJ3yIEddVs7GH2yM\n9JCCQrEo8cr3IMfpcOJ0ObuOvtfOf+p8KmoqeP9H7w96He+993Ln44/jPessDMPgxt/9rutLM5iF\nSbW1sH+/mWcaTLBjR7EokXDKX05hSv4Ulpy3JGjXLC6GvXth1y4oKQnaZQekuVGizah7R/Gdo77D\nfbPu6/d978SJ3HnmmXjz8gBzmeei33vJtK3m2v88w0wwQb/zVDQLZtyo8kgsJTcll5bOlq7f09PN\noyqPRKJfZqb5tLN92wyqG24acN25qpBEYkN6YjoHOw76PW/FZ5+xYeNGPO+9R4ndzsszZjDz29/u\nel9NsyXeTM6fTE3LwNV4w6G+RxLvitKLaO4YOABWABv++lc8hxItXmA6bvI8Htbeu54Em9kuur95\nKl4oeSSWkpeaR05KTtfvGRnm8aD/e1MRiTDDMKsGdu89lvq2BlZ8uoJke3Kf85Q8ErGGnrHq+/nw\n117f8fqAn3+0vJzfO5007NlDutfL2R4Pt3Z08P0LL+SWoiKuuflmLr3mmq6lA21tIfhLiEShyfmT\neX/P4BV7Q6XkkcS7wvRCJuRN6PN611y0eze++pw2wAASgb0AbjcZbjdnQ7/zVLxQ8kgsJS81jxR7\nStfvqjwSsZaCAti9O4mp2cfz/JbnSUtM6/X+l0Z+KUIjE5Gh8pc8+sbkb/DLlb8c8PNz5s0jLzeX\nx37wA4zaWryYN+t5OTlcvGgRsy64AFDfCYk/k/Mn887Od4J6TSWPJN4VpRdRktF3zWbXXDRvHtTX\nA2bV0QEgBTj0dRPj0Ov9zVPxIiqSR06nE4fDgcPhiPRQJMrlpeZR29q9jWI8Jo9cLhculytk11c8\nSiglTHTBxKXsb97HzrbP+rz/zs53eG3Ha0wvmT5wc90oEepYFLG6/LR8altq6fR0Yrf1veU0DAOb\nzUZnSwsdQC1wMZDf1ITNZuvqJ+FbtqbKI4kXk/MnU1FTEdRrKnkk8a4wrZB9Tfv6vN41F7W10QG9\nqo9SgSbMhBH0mKeam3vNU/EiapJHIoHITc3lQMuBrt/jcdmaL7GzcOFC/ycPg+JRQmmS3cG7Tzu4\n72L4sMjZ670Nuzawo34Hm36wKTKDG6JQx6KI1dltdvJS89jfvL/fp70AVRUVjDn/fADyRoygZtEi\njK9/naqK7i/OqjySeDMxbyKf1X6G2+MmwZYQlGsqeSTxrii9iL1Ne/t9r+dctHPHDnbt2EFTfT1V\n9Ym4SaM4vxm3u5MUr5eR06djjBzZa56KF1GRPBIJVF5qXq/kUTxWHolYmW+npP37gaLe7xWkFbB+\n1/qwj0lEQqc4o5g9B/cMmDy6esGC3i/83//BXXfBuHFdL6lhtsSbtMQ0CtIKqGqooiynLDjXVPJI\n4lxhWiFbarb0+16fueiQrCxobIRNn5k7BnPeefD978O3vhXCkUYvJY/EUnzJI1elC0eZQ8kjEYsp\nKDCP+/f3bYzd0NbAUx88xaptqzAMI6qXrIlIYIrTi9nTtCfwD2RkmHfqPahhtsSjyfmT2VKzRckj\nkSAZrPJoIH0qX1NToaVlwPNjnZJHYimZSZm0draycuvKXsmjeFq2JmJlgyWPADKSMnh+y/NkJWcp\neSQSA4Z8s56R0WdSV+WRxKPJeWby6KsTvhqU6yl5JPGuML2Qfc19ex4Nxpc86ug49EJKSlwnj2yR\nHoDIUBiGQW5KLi2dZtD6eh6p8kjEGnzJo5qa/t//QvEX+MvGv9DY1tj/CSJiKcXp5rK1gGVm9kke\nqfJI4tGk/ElBbZqt5JHEu6BVHrW2BndgFqLKI7EMV6ULV6WLBCOBe968h4ykDKp3AmUOmpockR6e\niASgV8+jHlyVLpZuWkpLRwsNbQ3c+9a9rN+1nrKcsqjfdU1EBlacEbxla6o8kngyOX8y/9r6r6Bd\nT8kjiXdatnbklDwSy3CUOXCUOXh3z7sk2hJxOpy89x48XAkt6ZEenYgEIjvbPNbX937dF98AkxZP\nYsbIGTz+7cfDOzgRCbqi9CI+2v9R4B8YZNmaKo8knvh6HgWLkkcS79IT0/F4PTS1N5GeFNiXx8RE\n89iVPNKyNRFrKcsuo661DgDboX/BXm8EByQiAcvJMY+HJ496SklMobUzfkuCRWJJcXoxH+0zk0e+\nCmJXpavX770MsmxNlUcST8bljKO6oZp/fRac6iMljyTeGYZBUXoRz295vs9cNBAtW+tNySOxnLE5\nY2npMDO+hmG+puSRiDX4Ko/q6gY+Z2LuREZmjgzPgEQkpIoziqmqrwICTB71s2xNDbMlHiUmJDIm\newzLPlkWlOulpppHJY8knhWmFbJy68ojSx7FceWRlq2J5YzNHtu1XlXJIxFrCaTy6NjiY0kwEsIz\nIBEJqeL0Yupa6/jTO3/inep3ul73/T6tcFrvD/SzbE0NsyVeTcqfRE3zADtMDJEqj0TMpdTv7nmX\nnY07AXj8/cFbJPTZbU3JIxFrKcspo67NLFtQ8kjEWtLSICHBnHfb27sn5Z5yU3LZXr89/IMTkaDx\nPdXdWruVVncrN6y4gVZ3d6n/is9W4Pa6efHTF1m3c113c/yMjD7bMarySOKNL352N+7mxd0vMqVg\nCtC7P+BQKXkk8cy3McuHez9ke0P3PeaLn74IQGVdJWU5ZX1irE/lUUpKXC9bU/JILMM3kTZ3NLO3\naS9Ol9PcsanMgcfjiPTwRCQAhmFWH9XUmNVHhYV9z8lNzWXj7o3hH5yIBE3PG/DxueNxOpw4Xc6u\n950OJ1/+y5dJTUzlle+90v3BzE8H3G1NlUcSL3zxU9daR2F6IU6H84ivqeSRxLOec1LPuejBdQ8y\n59g53DPznn4/p2VrvSl5JJbhC3qv18u9b97LL075BdWV6fyhErwTIz06EQlUdraZPKqr6z95lJea\nR21rbfgHJiJhlWxPpq3zsIzQIMvWli2D44+HY46B0aPDNEiRCEq1p9Lh7vB/YgB8yaOVK6G4OCiX\n7PKrX8FPfxrca4qEQ2ZyJu3ugctalTzqTckjsRzDMMhKzqK6sRrDmAxo2ZqIlfjre5Sbkktti5JH\nIrHC97T38OU2RxceTXVjde+T+0ke+b70rl0LX/saPPwwXHlliAYrEkXSEtMozSwNyrWOOsqcf+vq\nYO/eoFyyi6qZxEp6zkXPffIcxxQdM+C5iYnmsdeyNSWPIsvpdOJwOHA4HJEeiljEmOwx/HPLPyn2\nnAA44ip55HK5cLlcIbu+4lFCzd+Oa7mpuRxoOYCr0jXs3g7hEOpYFIkVAyWPThhxAo3tvZeokZnZ\nJ3l08cWwYQM0NJi/jxoVooGKRJnUxFSKM4JTJlRUBLt2Db5hxXBlZAT/miKh0nMuykzO7Oop1p9+\nK4/U8yiynE5npIcgFnNs8bG8tv01xiQ3AA48nkiPKHx8iZ2FCxeG5PqKRwk1f5VHvmVr0Z48Gm4s\nLlu2jBdeeIGGhgauvPJKzj777BCNUCS6ZSVn0dDW0PvFjIw+PY/GjIGnngr+f1+xKNEu1Z5Kc0fw\nynpSUsw/0UjxKJGQmZRJY1vjgO9rt7XebJEegMhwjMocxd6mvXgxS47iqfJIxOr8Vh4dWrbmjdHA\nPvfcc3nooYd48MEHeSoU34hFLCIrOatv5VE/y9ZCRbEo0S4tMY2Wzvj4oqp4lEjITM7sOw/10O9u\na3GcPIqKyiORQPm2WVy3cx0f7PuANz5/A+auZl9HGa7KuVFdpSAipsEqj3y7KnZ4OvjvV/8bwzCA\nI9ueOFSuuOIKXnjhhT6vL1++nOuvvx63281VV13F/Pnz+/38LbfcwrXXXhvqYYpErczkzL6VR5mZ\neBsbuXP+fHqmj71eL2+vXs3JZ5yBYbNx4+9+1/X/B18sFhUV9bqUYlGsLjUxuJVH4aC5Uawk0Mqj\n666DLVsg/0AKrVs+580Z8/F6vdR8vpq8kadzoPpV8kaejvvga6z86A1sttis0VHySCyl5xfIE8pP\nIM8+kpXO58kfDY6yiA5NRAI0WOWRL8bvf+t+rjnxmqBsTxwql19+OT/5yU844YQTul5zu91ce+21\nvPLKK4wcOZIZM2ZwzjnnsG7dOjZs2MAvfvELRowYwS9/+Utmz57N9OnTI/g3EImsrOSsvjftGRms\nqK1lw+LFeNzurpdr3W4yPR7Wrl/PyKQkXp4xg5nf/jbQHYvf+973us5XLEosSEtMo6XDWlUOmhvF\nSjKSMgatPCooMI9tbXDPPTCaVZxMPcnr7qMBN2PxULvnHcbipXbPO0zFy53z5/PLu+4K098gvGIz\nJSZxISMpg6ZOs7Q9nnoeiVidv55HYD5t7fAEZ3viUDnttNPIzc3t9dratWuZOHEiZWVlJCYmctFF\nF7Fs2TIuu+wy7rvvPkpLS3nggQdYuXIlTz/9NOXl5REavUjkZSb1rjx6tLyck6dM4Ya2Nt5rbWVz\nRwfrOzrY0NHB5x4PnwNT3W4Wt7TwyHe+w2mlpTxaXq5YlJiVak+13LI1xaNYib/Ko+uvhz/8AS77\ndjlHZY4gjR+xDviQDqrw8B6wAy+fAFPw8idgy913c3RiItfOmROmv0X4qPJILOv4kuP5cNc2QD2P\nRKzEX88jMG+YTxxxYngGFETV1dWMHj266/dRo0bx9ttv9zrnuuuu47rrrvN7rZ7N67UDosSiwxtm\nz5k3j7zcXB773vfMx7yAFzgApAAZh343gIK8POYsWkRKQQFOp5O6ujr29th/XLEoscBKy9Z67kBa\nd9gEr3iUaJWZnMnOxp0Dvp+TAz/6Efzwh/N46e+5PPbDH+I9cIADQDLQdujYjlmVYwBJhsGc666L\nWPVRKHcDVvJILOuMsjP4ZM92QMkjESsJtPLoC8VfCM+AgsjXgyUYtPOhxLqMpAyaOprweD3YDBuG\nYWCz2eg0DDqgq+dRG5AKHARqgYuAguZmbDYbZ555JmeeeSaVlZWsXLmyK4GkWJRYYKVlaz0TOZWV\nlSxatKjrPcWjRCt/lUc+XfNTczMddM9LvmMr5pz1XSDP68Vms0Ws79HhSdVg7tCt5JFY1oiMEXxW\nvwVQ8kjESnyVR8uWwfLlcMIJcFifW0uW6gOMHDmSqqqqrt+rqqoYNWpUBEckEr0SbAmk2lNpam8i\nMzkTgKqKCsacfz4AO3fsYNeOHTTV19OamEhqWhotqamkJCeTeswxVFVUDHhtxaLEglS7dSqPBqN4\nlGjlb7e1nnrOTxvWrGF3UxPujg7q3W7cHR28n5dHfkEBDdnZbH3//VAOO2KUPBLLKskoYU9TNaCe\nRyJWkpfX/fPs2TBlCnz8ce9zUhNTLfO0taeTTjqJiooKKisrKS0t5amnnuKJJ56I9LBEolZWchaN\n7Y1dyaOrFywIynUVixILUhOt+SDlcIpHiVaZSYEnj4I1P1mZGmaLZZVklNDUcRDwqvJIxEK+8AX4\nyU/AV1G7dWvfc6xQeXTxxRdzyimnADB69GiWLFmC3W7n97//PTNnzuSoo47iwgsvZNq0aREeqUj0\nykzu3TR7OHyxuGWLWY2sWJRYYaVlaz6aG8VKMpMDW7YmJsPrjezXbsMwiPAQxGJclS5clS4AFq5e\nCK/PJzUphRf/YG7xHS9CETuKRwknrxcSE8HthvZ282efc588l7nHzeVb074VuQEGSLEoMnwz/jyD\nP37tj8wYOSMo1wt27CgWJZIa2xoZcc8IDv7qYKSHMmSaG8UK1u9cz1XPX8XGazZGeighE8y40bI1\nsRxHWXeSaNFbi6nbeAVpTMZRFtFhicgQGQakp0NDAzQ1dTfSBmtUHoWa0+nUTjIS8zKTjrzyCEK7\nu4xiUSLFt2zN6/UGtel0KIUyFkHxKMEVy5VHoYhFVR6JpY28ezQ7H3iCvIOnUlMT6dGEl57oSCwo\nLYVdu6C62vzZ5/Jll3Pq6FO58oQrIze4ACkWRYbvvCfP4/vHfT9oVYaqPJJYk/TbJBoXNJJsT470\nUIZEc6NYwa7GXUwvn86en++J9FBCJphxo55HYmmjs8ZC+l41zBaxqLQ089jUdNjr9rS4rzwSiQe+\nhtki0r9YaZotEo1iufIoFLRsTSxtav7RvD3mdTpseYAj0sMRkSFKTzePhyePrLrbmogMTWZSJut3\nrmdM9piu1xxlDlyVrrjqYygyEF/T7JyUHP8ni8iQpCem0+ZuY+XWlSTYEgA09wxCySOxtMK0Iih5\nnQ6yUPJIxHoGTB6p55FIXMhKzmJt9VpyU3O7XlPySKRbqj2V5o7mSA9DJCYZhkF6Yjr/2vovUuwp\ngJJHg1HySCytKK0IUmu0/lnEogarPFIZsUjsy0zOpKmjqdeXY8W+SDctWxMJrczkTOpb6/Eme0lN\nTI30cKJaVCSP1DVfhspV6WLppqWsq94IJe/TUfI+jqWrKcspY+70uTGdMdYuFhJLBqs82tu0N/wD\nGgLFosjw+eZx1zYX2xu283b1213v3fXGXQBU1lVSllPWa5fVAa+n3dYkRqUlplmq8khzo1iFbx5q\naG3gwfUPdr3+7MfPMr1kuuW/U2q3NZHDHDwImTd+AVv9BNyPPRPp4YSVdrGQWHDJJfDEE/DII3Dp\npd2vP7juQTbu2kj5N8sjN7gAKRZFjozT5ez1+z1v3sOPZ/yY279y+5Cvpd3WJNacvuR0fnvmbzmj\n7IxID2VINDeKlThdTv72wd84pugY/vadv0V6OEGl3dZEDjEMwG0HW2ekhyIiw+CrPGo+7KGqeh6J\nxK/khGTcHnekhyESFdIStfuoSDgk2BLo9Og75WCiYtmayHDZbEBdGbSURnooIjIMg+62pptlkbhw\n+LKAP2/4MzNKZ0RmMCJRJjVRDbNFQs1R5uDtz99mYt7ESA8lqil5JJZmGMCBSRgduX7PFZHoM+hu\nax1KHonEg8OTR8kJyZxQekJkBiMSZTQfioSeo8zBk5ufZFzOuEgPJapp2ZpYmmEAnal47ZpURaxI\nlUcicrhkezJtnW2RHoZIVLBaw2wRq0pOSKbNrblnMEoeiaUZBtCRijdBXzJFrCgtzTz2V3m0u3F3\n+AckIhGnG3iRbuoBKBIeenDhn5JHYmk2G9CZCqo8ErGkwSqPalpqwj8gEYk43cCLdEtN1LI1kXBI\nTkim3d0e6WFENSWPxNK6Ko+UPBKxpMF6HsX7jhdOpxOXyxXpYYiE3XAqj1wuF06nMyTjUSxKJFlt\n2VooYxEUjxI6yfbYqnoNRSwaXq/XG9QrDnUAhkGEhyAW5vFAwvGPwsSX8P7fY5EeTliFInYUjxJu\ny5bBeefBN78Jzz0HrkoXrkoXDW0N3PfWfdx8xs2A2cjw8Ka60UKxKBJcZz9yNj//fz9n5sSZQ/5s\nsGNHsSiRdsfrd1DTUsOdZ98Z6aEMieZGsZq71tzF3qa93PXVuyI9lKAKZtxotzWxNF/lEYmqPBKx\nosMrj3xJorbONha9tYibz7gZwzAiN0ARCTv1PBLplpaYRlVDVaSHIRLzkhKSNPf4oWVrYmm+3daw\nt6AHESLWM9CytWR7MvYEO/Vt9eEflIhElHoeiXRTzyOR8NDc45+SR2J9nWblkccT6YGIyFANtNsa\nQEFaAXub9oZ3QCIScao8Eumm3dZEwkNzj39KHonlGao8ErGsgSqPAMZmj2Vf077wDkhEIk5Pf0W6\nWa1htohVxVrD7FBQzyOxPMOdijdRySMRK/Ilj7Ztg9/8xvw5MRG+/30oTC9U5ZFIHNLTX5FuqYmq\nPBIJh+SEZNrd7ZEeRlRT8kgsz+ZOxaPKIxFLys6GpCRob4dbb+1+fds2KDq/iH3NqjwSiTcp9hRV\nHokckmpXzyORcFDVq39KHonlGZ2pkFKHq9LFhwc2Mb1kOkDUbustIt3S0uC55+Cdd8zfly2Ddevg\nwAE4Jr2Qtz9/m8n5k9m0uzu2N+3exPUnXx/BUYeH0+nE4XDgcDgiPRSRsBpO5ZHL5cLlcoVkPIpF\niSSrLVsLZSyC4lFCJ9Z2WwtFLBpeb2TrNQzDIMJDEItLzt1P+49H86sz5rOm2tWVNHI6nBEdV6iF\nInYUjxJpL70EX/sazJwJM2++jyc3P8nsSbNxVXbHtqvShWuuK6Lj7EmxKBJcN626iQQjgZsdNw/5\ns8GOHcWiRNrmvZu58OkL+eBHH0R6KEOiuVGsZnXlav5r1X/x6uWvRnooQRXMuFHlkVie0ZkGia08\nu+X/2Ne8h5qWGs6bcl6khyUiw5CcbB7b2qAovYgtNVto7mxmz0Eztr1er6WewIrI0CUnJNPU0U8X\nfZE4ZLXKIxGrUsNs/5Q8EstyVbpYumkpbVe8DsCH+zcDsK95H5v3buaJzU9w6phTmTt9rpawiVhE\nUhJQ5mLzpKX85t+rqWuro25vHUCv/kcld5dQklHC3Olz42IJm0g8SbYnc6DlQKSHIRIV1PNIJDyS\nE9TzyB8lj8SyHGUOHGUOnr4UmmY4+eUv4c1d8bNsTSQWJScDlQ7GbnCw7iFwupwAXcvW6lrr+NO6\nP7H757sjOk4RCR3ttibSTbutiYRHsl27rflji/QARI6UYUR6BCISLL5la+0DzN0JRoL6HYjEOO14\nI9JNy9ZEwiPWGmaHgiqPxPIMA6h08OWRUJyd07Ujk4hYT1KSeWw7NHf7KglzUszYbmhr4I/v/DEy\ngxORsFDlkUi3RFsiHq+HDncHiQmJkR6OSMzSsjX/lDwSy7PZgEoHp46Cb+Q4Ij0cETkCPRtmQ3fy\nyHds7mgGVRuKxDQ1LRXpZhiG2feos0XJI5EQ0tzjX1QsW3M6nbhcrkgPQyzKt2zN44nsOMLF5XLh\ndDpDdn3Fo0SSr/JooGVrvqdC0bB0LdSxKBKv9PRXpLe0xDQ1zRYJMc09/hneCN+BG4YRFV8CxLry\n8qC2Fvbvh/z8SI8mfEIRO4pHibT9+6Gw0Izrmpr+z7H/t52WX0fPE1jFokhwvVjxIg+sfYCX5rw0\n5M8GO3YUixINxt4/ltVzV1OWUxbpoQRMc6NYTWtnK9m3Z9P2m9hKIAUzbqKi8kjkSPgqjzSXiFif\nv8ojiJ+yYlUBSrwaztPfUFYCKhYl0qzUNFsV8mJVSQlJtLvbYyZBGYpYVOWRWF5hoVmtsHev+XO8\n0BMdiUVtsuUefAAAE59JREFUbZCSAomJAyeQ8u/M55NrP6EgrSC8gxuAYlEkuF7f8TrzX5nPmivW\nDPmzqjySWHRC+Qn8+Zt/5sTSEyM9lIBpbhQrSvxtIk2/aiIpISnSQwkaVR6J9BBvPY9EYpmv8qij\nY+BqQq1JF4ltinGR3lITUy1TeSRiZZp/BqfkkVielq2JxA7DMKuOYJCm2XGybE0kXinGRXpLS0yj\npVMNs0VCTfPP4JQ8EstT8kgktiQnm8e2AeZuPRUSiW2KcZHeUu2p2m1NJAw0/wxOySOxPNuhf8VK\nHonEBn9Ns1PsKXoqJBLD9ORXpDctWxMJD80/g1PySCxPPY9EYovfyiN7Mq2dreEbkIiElZ78ivSm\nZWsi4ZGUkKT5ZxBKHonladmaSGzxV3mkL5YisU1PfkV6S7Wr8kgkHJITkml3D3ADKkoeifUpeSQS\nWwKpPNIXS5HYpQSxSG9piWnqeSQSBrrHHJySR2J56nkkEltUeSQS33TzLtJbqj1Vy9ZEwkD3mINT\n8kgsTz2PRGKLv8qjFHuKeh6JxDC7zQ7Ayq0rcVW6cFW6IjsgkQhLTUzl4/0fA3TFw0BHERm+ZHsy\na6vXds09rkoX9791f6SHFTWUPBLL07I1kdiiZWsikpyQzMptSh6JgLls7bMDnwFKHomEUnJCMut3\nre+VPHr242cjPayoYY/0AESOlJJHIrFFy9ZEJCclh0VvL8LA4Acn/SDSwxGJqLzUPDbs2sCIe0bQ\n2NZI+fryPsejCo6K9DBFLC87JZt/fPSPrgpYALfHHcERRRclj8Ty1PNIJLb4rTxKiI/KI6fTicPh\nwOFwRHooImHjqnSxdNNS8lPz2XVwFwD3vHkPr2x9hekl05k7fS6OMkffz7lcuFyukIxJsSiR4qt8\n2Fa7jU5vJ7kpuew+uJuC1AJ2d3Qfx2aP5d+V/2bus3MpyynDUeboN07CMuYQxiIoHiU0fHPPB3s/\noM3d1uc+s+TuEkoySpg7fS7Xn3x9hEY5NKGIRcPrjexXbsMwiPAQxOImTYJPP4VPPoHJkyM9mvAJ\nRewoHiUanHMOPP88PPssnHtu3/d/tvxntLnbmJw/mekl0yN2g+yjWBQJDafL2f2zwzngeT0FO3YU\nixItnC4nTofT7zFaaG4Uq+o598ChJO5cV0TGEgzBjBtVHonladmaSGwJpOfRe3ve48N9H1LXWhfx\n5JGIiIiISKxT8kgsT8kjkdjir+dRVnIW/678NwlGAiMyRoRvYCISVkoMi3TzxYO/o4gcmcNjKScl\nJzIDiUJatiaWN20afPwxfPih+XO8UDmwxKorroAlS+Dhh+HKK7tfd1W6uP3129m4ayN7m/d2vV6c\nXsz0kun88tRfRuTmWbEoEj20bE0kOmhuFIkOWrYm0oOv8sjjiew4RCQ4Blq21rMBqNPlZMnGJYzL\nHWfpdegiIiIiIlZgi/QARI6Ulq2JxBZ/y9Z8EmwJdLg7Qj8gEREREZE4p8ojsTwlj0Rii7+G2WBW\nIb2/5308XpUcioiIiIiEmiqPxPJsh/4VK3kkEht8lUetrQOf4yhz8PXJXycnVU0MRURERERCTckj\nsTz1PBKJLb7KI6cTPvhg4PPSE9Np7mgOy5hEREREROKZkkdieVq2JhJbzjyz++d33hn4vLTENJra\nm0I/IBERERGROKfkkViekkciseXUU+GKK8yf3e6Bz0tPUuWRiIiIiEg4KHkklqeeRyKxJyHBPHZ2\nDnxOWmKakkciIiIiImGg5JFYnnoeicQe+6G9QAdLHqUnptPUoWVrIiIiIiKhpuSRWJ6WrYnEHl/y\naLBla6o8EhEREREJDyWPxPKUPBKJPYEsW0tPSo/phtlOpxOXyxXpYYhYgsvlwul0huTaikWRwIUy\nFkHxKBKoUMSi4fVG9iu3YRhEeAhicSefDG+/DW++af4cL0IRO4pHiRa/+AXcfTfceaf5c38a2hoY\nde8onrv4ORxljrCOryfFokj0CHbsKBZFhkdzo0h0CGbcqPJILE89j0RiTyA9j9IS02jqaGLVtlXh\nGZSIiIiISJxS8kgsT8vWRGJPIMvW7DY7dpsdt3eQxkgiIiIiInLE7JEeAJhrVx0OBw6HI9JDEQuK\nt+SRy+UK6VpvxaNEA38Ns12VLlyVLgwMbn3tVuw28wOOMkfYlrCFOhZFRERERKKFeh6J5Z12Grz+\nOrz6qvlzvNBacollv/0t3HQT/PrXcMstA59XcncJl37hUu7+6t3hG9xhFIsi0UM9j0Sig+ZGkeig\nnkciPajnkUjsCaTnEUBqYiqdHj8niYiIiIjIEVHySCwv3paticQDf8vWfFLsKRxfcnzoByQiIiIi\nEseUPBLLU/JIJPYE0jAbzOTRF4q/EPoBiYiIiIjEMSWPxPJsh/4VK3kkEjsCrTxKtafS0tkS+gGJ\niIiIiMQxJY/E8tTzSCT2BNrzKMWeQmtna+gHJCIiIiISx5Q8EsvTsjWR2DOUZWtKHomIiIiIhJaS\nR2J5Sh6JxJ6Al60lptLSoWVrIiIiIiKhpOSRWJ56HonEHi1bExERERGJHkoeieWp55FI7Al42VpC\nihpmi4iIiIiEmJJHYnlatiYSe4aybE2VRyIiIiIioaXkkViekkcisUcNs0VEREREooeSR2J56nkk\nEnuG0vNIDbNFREREREJLySOxPPU8Eok9AS9bs2vZmoiIiIhIqCl5JJanZWsisWcoy9a21GwJ/YBE\nREREROKYkkdieUoeicSeQCuPUuwpVNZVhnw8IiIiIiLxTMkjsTz1PBKJPYH2PEpNTKXT4+ckERER\nERE5IvZID0DkSKnnkUjs8bdszVXpwlXpoqq+ik17NuF0OQFwlDlwlDnCMkYRERERkXih5JFYnpat\nicQef8vWeiaJRmePxulwhmVc4eR0OnE4HP+/vfsJzaNO4wD+RNqeloUKUrTp0iWtW7steqi7rEtt\ne1GkNF7a+iqIWEtrIbQKoguC7CEIxUMP9WDB6koP0to9hPonEAtJT9vuooJQixUaDHpb9dJLsJ09\nLEmNkzRv3szM+5vJ5wMDfSeT6e995v3O+74P85vE9u3buz0USN7o6GiMjo6Wsm9ZhPaVmcUIeYR2\nlZHFnizr7lfunp6e6PIQqLnduyP++c+IM2ci9uzp9miqU0Z25JFU/OtfEX/5S8Sf/hRx8eLtt/37\n6N+72jySRUhH0dmRReiM90ZIQ5G5cc8jas89j6B52r3nUUSYpgYAACXTPKL23PMImqfdv7YWoXkE\nAABl0zyi9tzzCJpnvhtmAwAA1dE8ovY0j6B5FnLlEQAAUC7NI2rPPY+geRZyzyMAAKBcmkfUnnse\nQfOYtgYAAOnQPKL2TFuD5jFtDQAA0qF5RO1pHkHzmLYGAADp0Dyi9tzzCJrHtDUAAEiH5hG1555H\n0DymrQEAQDo0j6g909ageVx5BAAA6dA8ovY0j6B53PMIAADSoXlE7bnnETSPaWsAAJAOzSNqzz2P\noHlMWwMAgHRoHlF7pq1B80w1j27ckG0AAOg2zSNqT/MImueOO25NSXVVIQAAdJfmEbXnnkfQTKau\nAQBAGjSPqD33PIJmctNsAABIg+YRtWfaGjSTK48AACANmkfUnuYRNNPUlUeaRwAA0F2aR9Seex5B\nM5m2BgAAadA8ovbc8wiaybQ1AABIg+YRtWfaGjSTaWsAAJAGzSNqT/MImsm0NQAASIPmEbXnnkfQ\nTKatAQBAGjSPqD33PIJmcuURAACkYVm3BwCLZdoaNNNU8+ivf4344x/n3q7Vijh0qJoxAQDAUqR5\nRO1NNY/+9reIf/wj4je/ifj3v7s6JKAAv/99xOXLEf/9b8SFC3Nv9+c/VzcmAABYijSPqL1fXpFw\n5UrEb3/bvbEAxTlzJuI//5n/qsI1a6oZDwAALFU9WdbdyT49PT3R5SHQAN9+G3H9+v//fccdEX/4\nQ3fHU4UysiOPsHCyCOkoOjuyCJ3x3ghpKDI3rjyiEX73u26PAAAAAJqp1L+2NjQ0FAcOHIhWqxUj\nIyNl/lfAPOQR0nDlypU4dOhQ7N27N06ePNnt4cCSJYuQBlmEeqhk2tpPP/0UL730Urz99tv5Abj8\nMGd0dDS2b9/e7WEkRU3yOs2OPLbP6y5PTfI6zc3Nmzej1WrFmTNnCtsn5ZOBtHWSHVmsL3lMV9FZ\n7HSfTeb1n6cmeUXmpq0rj/bt2xerVq2KzZs3z1g/PDwcGzZsiPXr18fRo0fn/P3BwcEYGBhY3EiX\nkNHR0W4PITlqcstUHn9NHovndZenJrcsJovnzp2LnTt3RqvVKnuYFEwG0rOYz6myWG/ymBZZrJbX\nf56alKut5tGzzz4bw8PDM9bduHEjBgYGYnh4OC5fvhzvv/9+fPXVV3Hq1Kl48cUX4/vvv48sy+KV\nV16Jxx57LB544IFSnsBsFvqiaWf7ubZpd/1CHxdNTeYfTxHbV1GTOuWxyhrP9bN21v3ycZNed3P9\nTE3yP+ukJp1mMSJi165d8cknn8R7770373OpWlHHu5P9tPs782230OPfyfpuKHIsZeSu3e2KOj5T\n62Sx+H2lfLxT4VyZX1e3LNb180eZ1CRPTW5pq3m0devWWLly5Yx1ly5dinXr1sXatWtj+fLl0Wq1\nYmhoKJ5++uk4duxY3HPPPXH8+PE4f/58nD17Nk6cOFHKE5hNlQe43fULfVw0NZl/PEVsX0VN6pRH\nJ9s8Ncmra006zeLY2FgcOXIkDh48GDt27Jj3uVStqOPdyX7a/Z35tlvo8e9kfTcUOZYyctfudkUd\nn6l1slj8vlI+3qlwrsyvq1sW6/r5o0xqkqcmv5C16dq1a9mmTZumH3/wwQfZ/v37px+fOnUqGxgY\naHd30/r6+rKIsFgsC1xWrFghjxZLAossWizpLH19fbJosSSwFJ1FebRYOlumsliEZdGhnp6eTn91\nhm+++aaQ/cBSMj4+Hrt27Zp+LI/QHbIIaZjK4pdffhkRsgjdUlYWI+QRuq2taWuzWb16dUxMTEw/\nnpiYiN7e3kIGBSyMPEIaZBHSIIuQBlmE5ui4ebRly5a4evVqjI+Px+TkZJw+fTr6+/uLHBvQJnmE\nNMgipEEWIQ2yCM3RVvPoySefjIceeii+/vrrWLNmTbz77ruxbNmyePPNN+PRRx+NjRs3xhNPPBH3\n3Xdf2eOFJU8eIQ2yCGmQRUiDLEKz9WRZlnV7EAAAAACkqeNpa0W7du1a7N+/P/bs2XPbdUvJbM9/\naGgoDhw4EK1WK0ZGRro4uurNVo8rV67EoUOHYu/evXHy5Mkujq475srI9evX48EHH4yPPvqokH3K\noiz+mjzmFZ1HWUyb80K6yjg/yWO6ZDFdslgNGcjzOTWvkM+phf3dtoLs3r27rXVLyWzP/8cff8ye\ne+65Loym+2arx40bN7I9e/Z0YTRp+HVNXnvtteyNN97IPvzww8L2Ode6pUQW8+Qxr+g8ymLanBfS\nVcb5SR7TJYvpksVqyECez6l5i/mcWuqVR/v27YtVq1bF5s2bZ6wfHh6ODRs2xPr16+Po0aNlDiE5\nRdVkcHAwBgYGyhpmZYqox7lz52Lnzp3RarXKHGplFluTkZGR2LhxY9x1112F7bOJZDFPHvOKzqMs\nps15IV1lnJ/kMV2ymC5ZrIYM5PmcmlfG98bbKqujlWVZduHCheyzzz7LNm3aNL3u559/zvr6+rJr\n165lk5OT2f33359dvnx5+udN7yIvtiY3b97MXn755ezTTz+tdNxlKeo1kmVZ1t/fX/p4q7DYmrz6\n6qvZCy+8kD3yyCPZ448/nt28eVMWZyGLefKYV3Qex8bGZDFhzgvpKuP85L0xXbKYLlmshgzk+Zya\nV8b3xtsp9cqjrVu3xsqVK2esu3TpUqxbty7Wrl0by5cvj1arFUNDQ/HDDz/E888/H1988cV0d2y2\ndXXXSU0+//zz6ed//PjxOH/+fJw9ezZOnDjRjadQqMXWY2xsLI4cORIHDx6MHTt2dOMpFG6xuRkc\nHIxjx47FU089FQcOHIienh5ZnIUs5sljXtF5fPjhh2UxYc4L6Srj/OS9MV2ymC5ZrIYM5PmcmlfG\n98bbWVbaM5nDd999F2vWrJl+3NvbGxcvXow777wz3nrrrRnbzrauiRZSk8OHD8fhw4erHmKlFlKP\nbdu2xbZt26oeYuUWUpMpzzzzTGH7lMWlmcUIeZxN0XmUxbQ5L6SrjPOTPKZLFtMli9WQgTyfU/PK\n+N44pfK/tjZfN2spUpOZ1COvjJqoc56a5KlJXtE1UeO0OT7p8t64tDg26ZLFaqhJnprklVmTyptH\nq1evjomJienHExMT0dvbW/UwkqImM6lHXhk1Uec8NclTk7yia6LGaXN80uW9cWlxbNIli9VQkzw1\nySuzJpU3j7Zs2RJXr16N8fHxmJycjNOnT0d/f3/Vw0iKmsykHnll1ESd89QkT03yiq6JGqfN8UmX\n98alxbFJlyxWQ03y1CSv1JoUf8/vW1qtVnb33XdnK1asyHp7e7N33nkny7Is+/jjj7N777036+vr\ny15//fUyh5AcNZlJPfLKqIk656lJnprkFV0TNU6b45Mu741Li2OTLlmshprkqUle1TXpybIsK6YN\nBQAAAEDTVD5tDQAAAID60DwCAAAAYE6aRwAAAADMSfMIAAAAgDlpHgEAAAAwJ80jAAAAAOakeQQA\nAADAnDSPAAAAAJiT5hEAAAAAc/ofSqIuzamXPfcAAAAASUVORK5CYII=\n",
"text": "<matplotlib.figure.Figure at 0x11243110>"
}
],
"prompt_number": 27
},
{
"cell_type": "code",
"collapsed": false,
"input": "print len(pareto_list), len(lognormal_list)",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "10 18\n"
}
],
"prompt_number": 28
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": "Shape of Tail"
},
{
"cell_type": "markdown",
"metadata": {},
"source": "To investigate why the generated traffic distribution follows a LogNormal tail for some customers, and a Pareto for others, use the Kolmogorov-Smirnov metric that indicates whether the tail is LogNormal-like or Pareto-like. Then define a measure $\"D\"$ to indicate how close the tail of the empirical distribution resembles a LogNormal VS Pareto.\n\n$D = KS(lognormal)$ $/$ $KS(pareto)+KS(lognormal)$\n\nThus $D=0$ implies lognormal fit and conversely $D=1$ implies a pareto fit"
},
{
"cell_type": "code",
"collapsed": false,
"input": "df['D'] = 0\n\nfor key in cust_list.index:\n speed = data.loc[groups[key]]['speed']\n par_fit = stats.ks_2samp(speed, X['pareto'][key][X['pareto'][key]>cutoff.ix[key]['speed']])\n log_fit = stats.ks_2samp(speed, X['lognormal'][key][X['lognormal'][key]>cutoff.ix[key]['speed']])\n df.ix[key, 'D'] = log_fit[0]/(log_fit[0]+par_fit[0])",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 29
},
{
"cell_type": "markdown",
"metadata": {},
"source": "Here is a plot between the \"D\" statistic and throughput with each point representing a customer that has been successfully characterised by the above methodology. A lot of points have values incresingly near $D = 0.5$ which is either because the empirical CDF lies between a lognormal and a pareto, or there isnt enough data for significant characterization."
},
{
"cell_type": "code",
"collapsed": false,
"input": "sub = df[df['lognormal'] == 1].append(df[df['pareto']==1])\n \nfig = plt.figure(figsize = (10,7))\nax1 = fig.add_subplot(111)\nax1.set_xscale('log')\n\nax1.scatter(sub['speed'],sub['D'],s=sub['count'],alpha=0.5)",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 30,
"text": "<matplotlib.collections.PathCollection at 0x19b25f10>"
},
{
"metadata": {},
"output_type": "display_data",
"png": 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VkcgVOJ2emNcPh7twOHYxd+73Yl5bRM5+mhAgInKC1NRULrmklNra8rjUr639gMsum0hy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\nCfytrdU0Nf0H//t/36NdTmRA8lZu0d6afmL//gpCQ1N9XscwDCyWVCo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"text": "<matplotlib.figure.Figure at 0x170703d0>"
}
],
"prompt_number": 30
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": "Concluding Remarks"
},
{
"cell_type": "markdown",
"metadata": {},
"source": "We extract some relevant statistical properties of the Inter-Customer Traffic Matrix by characterising the distribution of traffic flows between customers at a RTR-ASN level. Such properties also show a relationship with the aggregate characteristics of the customer. From a total of 3000 customers we shortlisted the top 150 based on the count of flows (>500). Out of these, there were close to 40 customers that were successfully characterised, with ~25 classified as lognormal and ~15 as pareto tailed.\n\nA plot of the relevant distribution metrics ($ \\alpha $ in case of pareto and $CoV$ in case of lognormal disstribution) with aggregate throughput, we see that there exist some trends for each of the customers. While the pareto $ \\alpha $ decreases with increase in throughput, the $CoV$ shows an increasing behavior with throughput. Since the tails become heavier and the more popular destinations receive even more traffic which cause changes in the scale parameters of the fitted distributions.\n\nThere is also an investigation as to why certain tail shapes resemble pareto/lognormal. It might have something to do with higher throughput leading to lognormal-like tail shapes. [2] also associates this character with the problem of network congestion that leads to a truncation in the tail of the distribution from pareto-like to a lognormal-like. [2] also indicates that congestion is a problem for customers with higher throughput. Although, no evidence as such is provided, as there are no direct ways of quantification or measurement, however some intuitive explanations have been presented."
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": "References"
},
{
"cell_type": "markdown",
"metadata": {},
"source": "* http://en.wikipedia.org/wiki/Long-tail_traffic\n\n* Mikians, Jakub, et al. \"Towards a statistical characterization of the interdomain traffic matrix.\" NETWORKING 2012. Springer Berlin Heidelberg, 2012. 111-123.\n\n* Downey, Allen B. \"Lognormal and Pareto distributions in the Internet.\" Computer Communications 28.7 (2005): 790-801."
}
],
"metadata": {}
}
]
}
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